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='', 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) ) ) Epoch: [0][0/10010] Time 11.990 (11.990) Data 2.317 (2.317) Loss 7.0861 (7.0861) Prec@1 0.000 (0.000) Prec@5 0.000 (0.000) Epoch: [0][10/10010] Time 0.314 (1.366) Data 0.000 (0.211) Loss 7.3540 (7.1405) Prec@1 1.562 (0.284) Prec@5 2.344 (1.136) Epoch: [0][20/10010] Time 0.312 (0.864) Data 0.000 (0.111) Loss 7.2209 (7.1972) Prec@1 0.781 (0.223) Prec@5 1.562 (0.930) Epoch: [0][30/10010] Time 0.323 (0.687) Data 0.001 (0.075) Loss 7.0705 (7.1750) Prec@1 0.000 (0.227) Prec@5 0.781 (0.958) Epoch: [0][40/10010] Time 0.315 (0.596) Data 0.001 (0.057) Loss 7.0908 (7.1373) Prec@1 0.000 (0.191) Prec@5 0.000 (0.838) Epoch: [0][50/10010] Time 0.316 (0.541) Data 0.001 (0.046) Loss 6.9682 (7.1055) Prec@1 0.000 (0.169) Prec@5 0.000 (0.766) Epoch: [0][60/10010] Time 0.315 (0.504) Data 0.000 (0.039) Loss 6.9190 (7.0798) Prec@1 0.000 (0.154) Prec@5 0.000 (0.717) Epoch: [0][70/10010] Time 0.311 (0.477) Data 0.000 (0.033) Loss 6.9336 (7.0567) Prec@1 0.000 (0.143) Prec@5 0.000 (0.704) Epoch: [0][80/10010] Time 0.316 (0.457) Data 0.000 (0.029) Loss 6.8655 (7.0369) Prec@1 0.000 (0.154) Prec@5 1.562 (0.704) Epoch: [0][90/10010] Time 0.313 (0.442) Data 0.000 (0.026) Loss 6.8245 (7.0226) Prec@1 0.781 (0.155) Prec@5 2.344 (0.713) Epoch: [0][100/10010] Time 0.316 (0.429) Data 0.001 (0.024) Loss 6.8206 (7.0090) Prec@1 0.000 (0.155) Prec@5 2.344 (0.797) Epoch: [0][110/10010] Time 0.316 (0.419) Data 0.001 (0.021) Loss 6.8714 (6.9977) Prec@1 0.000 (0.169) Prec@5 2.344 (0.838) Epoch: [0][120/10010] Time 0.315 (0.411) Data 0.001 (0.020) Loss 6.8145 (6.9848) Prec@1 0.781 (0.194) Prec@5 2.344 (0.910) Epoch: [0][130/10010] Time 0.319 (0.404) Data 0.001 (0.018) Loss 6.9121 (6.9767) Prec@1 0.000 (0.215) Prec@5 0.000 (0.924) Epoch: [0][140/10010] Time 0.318 (0.397) Data 0.000 (0.017) Loss 6.8725 (6.9676) Prec@1 0.000 (0.216) Prec@5 0.781 (0.931) Epoch: [0][150/10010] Time 0.318 (0.392) Data 0.000 (0.016) Loss 6.8376 (6.9585) Prec@1 0.000 (0.222) Prec@5 0.000 (0.962) Epoch: [0][160/10010] Time 0.323 (0.388) Data 0.001 (0.015) Loss 6.8147 (6.9509) Prec@1 0.000 (0.247) Prec@5 0.000 (1.029) Epoch: [0][170/10010] Time 0.319 (0.384) Data 0.001 (0.014) Loss 6.7998 (6.9427) Prec@1 0.000 (0.260) Prec@5 2.344 (1.074) Epoch: [0][180/10010] Time 0.322 (0.380) Data 0.000 (0.014) Loss 6.8323 (6.9348) Prec@1 0.781 (0.281) Prec@5 3.906 (1.122) Epoch: [0][190/10010] Time 0.317 (0.377) Data 0.001 (0.013) Loss 6.7691 (6.9276) Prec@1 0.000 (0.290) Prec@5 0.781 (1.162) Epoch: [0][200/10010] Time 0.311 (0.374) Data 0.000 (0.012) Loss 6.7345 (6.9197) Prec@1 0.000 (0.292) Prec@5 2.344 (1.205) Epoch: [0][210/10010] Time 0.311 (0.371) Data 0.001 (0.012) Loss 6.7413 (6.9128) Prec@1 0.000 (0.293) Prec@5 1.562 (1.226) Epoch: [0][220/10010] Time 0.315 (0.369) Data 0.001 (0.011) Loss 6.6364 (6.9070) Prec@1 0.000 (0.297) Prec@5 3.125 (1.244) Epoch: [0][230/10010] Time 0.317 (0.367) Data 0.000 (0.011) Loss 6.7755 (6.9009) Prec@1 0.000 (0.301) Prec@5 0.781 (1.248) Epoch: [0][240/10010] Time 0.328 (0.365) Data 0.000 (0.010) Loss 6.7746 (6.8947) Prec@1 0.000 (0.311) Prec@5 0.781 (1.274) Epoch: [0][250/10010] Time 0.321 (0.363) Data 0.126 (0.010) Loss 6.7475 (6.8891) Prec@1 0.000 (0.305) Prec@5 0.781 (1.279) Epoch: [0][260/10010] Time 0.323 (0.362) Data 0.000 (0.012) Loss 6.7700 (6.8839) Prec@1 0.000 (0.302) Prec@5 0.781 (1.302) Epoch: [0][270/10010] Time 0.324 (0.361) Data 0.000 (0.011) Loss 6.7068 (6.8789) Prec@1 0.000 (0.303) Prec@5 1.562 (1.309) Epoch: [0][280/10010] Time 0.319 (0.359) Data 0.000 (0.011) Loss 6.7347 (6.8737) Prec@1 0.781 (0.314) Prec@5 2.344 (1.326) Epoch: [0][290/10010] Time 0.325 (0.358) Data 0.001 (0.011) Loss 6.7559 (6.8684) Prec@1 0.000 (0.314) Prec@5 1.562 (1.350) Epoch: [0][300/10010] Time 0.328 (0.357) Data 0.000 (0.010) Loss 6.6652 (6.8634) Prec@1 0.781 (0.324) Prec@5 3.906 (1.373) Epoch: [0][310/10010] Time 0.325 (0.356) Data 0.000 (0.010) Loss 6.7154 (6.8575) Prec@1 1.562 (0.332) Prec@5 2.344 (1.407) Epoch: [0][320/10010] Time 0.319 (0.355) Data 0.001 (0.010) Loss 6.7181 (6.8529) Prec@1 0.000 (0.338) Prec@5 2.344 (1.441) Epoch: [0][330/10010] Time 0.324 (0.354) Data 0.000 (0.009) Loss 6.6455 (6.8485) Prec@1 0.000 (0.342) Prec@5 5.469 (1.475) Epoch: [0][340/10010] Time 0.322 (0.353) Data 0.000 (0.009) Loss 6.6568 (6.8431) Prec@1 0.000 (0.351) Prec@5 3.906 (1.530) Epoch: [0][350/10010] Time 0.315 (0.352) Data 0.001 (0.009) Loss 6.5676 (6.8372) Prec@1 2.344 (0.367) Prec@5 6.250 (1.585) Epoch: [0][360/10010] Time 0.325 (0.351) Data 0.001 (0.009) Loss 6.7221 (6.8328) Prec@1 0.781 (0.374) Prec@5 3.125 (1.623) Epoch: [0][370/10010] Time 0.326 (0.351) Data 0.000 (0.008) Loss 6.6520 (6.8269) Prec@1 0.781 (0.383) Prec@5 2.344 (1.649) Epoch: [0][380/10010] Time 0.319 (0.350) Data 0.001 (0.008) Loss 6.6374 (6.8225) Prec@1 0.000 (0.392) Prec@5 0.781 (1.667) Epoch: [0][390/10010] Time 0.333 (0.349) Data 0.000 (0.008) Loss 6.6357 (6.8184) Prec@1 0.781 (0.410) Prec@5 1.562 (1.698) Epoch: [0][400/10010] Time 0.319 (0.349) Data 0.000 (0.008) Loss 6.7283 (6.8133) Prec@1 2.344 (0.423) Prec@5 3.906 (1.728) Epoch: [0][410/10010] Time 0.339 (0.351) Data 0.005 (0.011) Loss 6.5914 (6.8082) Prec@1 0.781 (0.428) Prec@5 0.781 (1.758) Epoch: [0][420/10010] Time 0.327 (0.350) Data 0.001 (0.011) Loss 6.6139 (6.8034) Prec@1 3.906 (0.438) Prec@5 5.469 (1.781) Epoch: [0][430/10010] Time 0.330 (0.350) Data 0.001 (0.010) Loss 6.6735 (6.7982) Prec@1 0.000 (0.439) Prec@5 1.562 (1.811) Epoch: [0][440/10010] Time 0.328 (0.349) Data 0.001 (0.010) Loss 6.6417 (6.7942) Prec@1 0.781 (0.436) Prec@5 1.562 (1.818) Epoch: [0][450/10010] Time 0.324 (0.349) Data 0.000 (0.010) Loss 6.5235 (6.7895) Prec@1 0.781 (0.437) Prec@5 3.906 (1.838) Epoch: [0][460/10010] Time 0.331 (0.348) Data 0.000 (0.010) Loss 6.6325 (6.7855) Prec@1 0.000 (0.442) Prec@5 2.344 (1.857) Epoch: [0][470/10010] Time 0.317 (0.348) Data 0.001 (0.010) Loss 6.5988 (6.7815) Prec@1 0.000 (0.440) Prec@5 1.562 (1.883) Epoch: [0][480/10010] Time 0.322 (0.347) Data 0.000 (0.009) Loss 6.5269 (6.7768) Prec@1 0.781 (0.450) Prec@5 4.688 (1.926) Epoch: [0][490/10010] Time 0.324 (0.352) Data 0.000 (0.015) Loss 6.6621 (6.7723) Prec@1 0.781 (0.461) Prec@5 2.344 (1.957) Epoch: [0][500/10010] Time 0.321 (0.351) Data 0.000 (0.015) Loss 6.6190 (6.7683) Prec@1 1.562 (0.469) Prec@5 2.344 (1.991) Epoch: [0][510/10010] Time 0.324 (0.351) Data 0.000 (0.015) Loss 6.4906 (6.7646) Prec@1 0.781 (0.468) Prec@5 3.125 (2.009) Epoch: [0][520/10010] Time 0.329 (0.350) Data 0.000 (0.014) Loss 6.6170 (6.7618) Prec@1 0.000 (0.471) Prec@5 0.000 (2.015) Epoch: [0][530/10010] Time 0.333 (0.350) Data 0.000 (0.014) Loss 6.5839 (6.7585) Prec@1 0.781 (0.471) Prec@5 3.125 (2.033) Epoch: [0][540/10010] Time 0.320 (0.350) Data 0.000 (0.014) Loss 6.6270 (6.7545) Prec@1 1.562 (0.474) Prec@5 2.344 (2.051) Epoch: [0][550/10010] Time 0.335 (0.349) Data 0.001 (0.014) Loss 6.5105 (6.7508) Prec@1 1.562 (0.475) Prec@5 6.250 (2.079) Epoch: [0][560/10010] Time 0.323 (0.349) Data 0.000 (0.013) Loss 6.5578 (6.7475) Prec@1 1.562 (0.480) Prec@5 3.125 (2.101) Epoch: [0][570/10010] Time 0.327 (0.349) Data 0.000 (0.013) Loss 6.5767 (6.7435) Prec@1 1.562 (0.493) Prec@5 2.344 (2.122) Epoch: [0][580/10010] Time 0.337 (0.348) Data 0.000 (0.013) Loss 6.4202 (6.7397) Prec@1 0.000 (0.495) Prec@5 3.906 (2.131) Epoch: [0][590/10010] Time 0.330 (0.348) Data 0.001 (0.013) Loss 6.2925 (6.7354) Prec@1 0.000 (0.502) Prec@5 4.688 (2.176) Epoch: [0][600/10010] Time 0.332 (0.348) Data 0.001 (0.013) Loss 6.5552 (6.7318) Prec@1 0.000 (0.517) Prec@5 2.344 (2.207) Epoch: [0][610/10010] Time 0.334 (0.347) Data 0.000 (0.012) Loss 6.5086 (6.7276) Prec@1 0.781 (0.527) Prec@5 6.250 (2.230) Epoch: [0][620/10010] Time 0.318 (0.347) Data 0.000 (0.012) Loss 6.5284 (6.7245) Prec@1 1.562 (0.535) Prec@5 3.906 (2.256) Epoch: [0][630/10010] Time 0.340 (0.347) Data 0.001 (0.012) Loss 6.4328 (6.7206) Prec@1 0.000 (0.541) Prec@5 3.125 (2.279) Epoch: [0][640/10010] Time 0.325 (0.347) Data 0.000 (0.012) Loss 6.6064 (6.7178) Prec@1 1.562 (0.548) Prec@5 5.469 (2.301) Epoch: [0][650/10010] Time 0.341 (0.347) Data 0.000 (0.012) Loss 6.4620 (6.7137) Prec@1 0.000 (0.556) Prec@5 3.125 (2.326) Epoch: [0][660/10010] Time 0.323 (0.346) Data 0.001 (0.012) Loss 6.4368 (6.7101) Prec@1 0.781 (0.560) Prec@5 3.906 (2.356) Epoch: [0][670/10010] Time 0.340 (0.346) Data 0.000 (0.011) Loss 6.4274 (6.7062) Prec@1 0.781 (0.571) Prec@5 3.125 (2.391) Epoch: [0][680/10010] Time 0.341 (0.346) Data 0.001 (0.011) Loss 6.4912 (6.7025) Prec@1 1.562 (0.584) Prec@5 7.031 (2.427) Epoch: [0][690/10010] Time 0.331 (0.346) Data 0.000 (0.011) Loss 6.3305 (6.6992) Prec@1 0.000 (0.586) Prec@5 3.906 (2.451) Epoch: [0][700/10010] Time 0.344 (0.345) Data 0.001 (0.011) Loss 6.4838 (6.6954) Prec@1 0.000 (0.594) Prec@5 3.906 (2.470) Epoch: [0][710/10010] Time 0.330 (0.345) Data 0.000 (0.011) Loss 6.2895 (6.6916) Prec@1 0.781 (0.604) Prec@5 3.906 (2.496) Epoch: [0][720/10010] Time 0.344 (0.345) Data 0.000 (0.011) Loss 6.3859 (6.6883) Prec@1 0.000 (0.610) Prec@5 3.125 (2.523) Epoch: [0][730/10010] Time 0.332 (0.345) Data 0.001 (0.010) Loss 6.4238 (6.6846) Prec@1 0.000 (0.618) Prec@5 5.469 (2.554) Epoch: [0][740/10010] Time 0.339 (0.345) Data 0.000 (0.010) Loss 6.3893 (6.6811) Prec@1 0.781 (0.621) Prec@5 3.906 (2.573) Epoch: [0][750/10010] Time 0.329 (0.345) Data 0.001 (0.010) Loss 6.5237 (6.6781) Prec@1 2.344 (0.628) Prec@5 6.250 (2.591) Epoch: [0][760/10010] Time 0.327 (0.344) Data 0.000 (0.010) Loss 6.4190 (6.6744) Prec@1 2.344 (0.626) Prec@5 3.125 (2.612) Epoch: [0][770/10010] Time 0.340 (0.344) Data 0.001 (0.010) Loss 6.4137 (6.6711) Prec@1 3.125 (0.633) Prec@5 4.688 (2.628) Epoch: [0][780/10010] Time 0.315 (0.344) Data 0.001 (0.010) Loss 6.4373 (6.6678) Prec@1 0.781 (0.637) Prec@5 3.125 (2.653) Epoch: [0][790/10010] Time 0.343 (0.344) Data 0.000 (0.010) Loss 6.3168 (6.6641) Prec@1 3.125 (0.645) Prec@5 6.250 (2.684) Epoch: [0][800/10010] Time 0.318 (0.344) Data 0.001 (0.010) Loss 6.4299 (6.6609) Prec@1 0.781 (0.651) Prec@5 3.906 (2.706) Epoch: [0][810/10010] Time 0.345 (0.343) Data 0.000 (0.010) Loss 6.2982 (6.6575) Prec@1 3.906 (0.665) Prec@5 6.250 (2.736) Epoch: [0][820/10010] Time 0.338 (0.343) Data 0.001 (0.009) Loss 6.3351 (6.6539) Prec@1 0.000 (0.678) Prec@5 3.906 (2.775) Epoch: [0][830/10010] Time 0.336 (0.343) Data 0.000 (0.009) Loss 6.3281 (6.6501) Prec@1 4.688 (0.688) Prec@5 6.250 (2.796) Epoch: [0][840/10010] Time 0.335 (0.343) Data 0.001 (0.009) Loss 6.3863 (6.6467) Prec@1 0.781 (0.693) Prec@5 3.906 (2.814) Epoch: [0][850/10010] Time 0.339 (0.343) Data 0.000 (0.009) Loss 6.3451 (6.6433) Prec@1 0.781 (0.700) Prec@5 3.125 (2.830) Epoch: [0][860/10010] Time 0.347 (0.343) Data 0.000 (0.010) Loss 6.2111 (6.6399) Prec@1 1.562 (0.705) Prec@5 7.031 (2.845) Epoch: [0][870/10010] Time 0.349 (0.343) Data 0.000 (0.010) Loss 6.4200 (6.6370) Prec@1 0.781 (0.708) Prec@5 3.125 (2.860) Epoch: [0][880/10010] Time 0.319 (0.343) Data 0.001 (0.010) Loss 6.2945 (6.6334) Prec@1 0.000 (0.712) Prec@5 3.906 (2.894) Epoch: [0][890/10010] Time 0.325 (0.343) Data 0.000 (0.010) Loss 6.3253 (6.6304) Prec@1 3.906 (0.725) Prec@5 8.594 (2.919) Epoch: [0][900/10010] Time 0.332 (0.343) Data 0.001 (0.010) Loss 6.3111 (6.6269) Prec@1 3.125 (0.739) Prec@5 5.469 (2.952) Epoch: [0][910/10010] Time 0.339 (0.343) Data 0.001 (0.009) Loss 6.4559 (6.6240) Prec@1 1.562 (0.750) Prec@5 2.344 (2.977) Epoch: [0][920/10010] Time 0.323 (0.342) Data 0.000 (0.009) Loss 6.4313 (6.6200) Prec@1 0.781 (0.759) Prec@5 3.906 (3.005) Epoch: [0][930/10010] Time 0.322 (0.342) Data 0.012 (0.010) Loss 6.3617 (6.6169) Prec@1 1.562 (0.766) Prec@5 7.031 (3.031) Epoch: [0][940/10010] Time 0.329 (0.343) Data 0.000 (0.012) Loss 6.1853 (6.6135) Prec@1 1.562 (0.775) Prec@5 4.688 (3.055) Epoch: [0][950/10010] Time 0.326 (0.344) Data 0.000 (0.012) Loss 6.3015 (6.6103) Prec@1 0.000 (0.778) Prec@5 3.906 (3.064) Epoch: [0][960/10010] Time 0.333 (0.343) Data 0.000 (0.012) Loss 6.2495 (6.6070) Prec@1 0.781 (0.780) Prec@5 3.125 (3.079) Epoch: [0][970/10010] Time 0.342 (0.343) Data 0.000 (0.012) Loss 6.2584 (6.6036) Prec@1 1.562 (0.784) Prec@5 3.906 (3.104) Epoch: [0][980/10010] Time 0.330 (0.343) Data 0.000 (0.012) Loss 6.1643 (6.6004) Prec@1 1.562 (0.792) Prec@5 5.469 (3.134) Epoch: [0][990/10010] Time 0.340 (0.343) Data 0.000 (0.012) Loss 6.2275 (6.5963) Prec@1 1.562 (0.809) Prec@5 3.125 (3.170) Epoch: [0][1000/10010] Time 0.340 (0.343) Data 0.001 (0.011) Loss 6.3166 (6.5930) Prec@1 1.562 (0.818) Prec@5 4.688 (3.193) Epoch: [0][1010/10010] Time 0.327 (0.343) Data 0.001 (0.011) Loss 6.2878 (6.5901) Prec@1 1.562 (0.823) Prec@5 7.031 (3.215) Epoch: [0][1020/10010] Time 0.320 (0.343) Data 0.000 (0.012) Loss 6.1532 (6.5867) Prec@1 3.125 (0.833) Prec@5 6.250 (3.245) Epoch: [0][1030/10010] Time 1.045 (0.344) Data 0.911 (0.014) Loss 6.2778 (6.5833) Prec@1 0.781 (0.843) Prec@5 4.688 (3.268) Epoch: [0][1040/10010] Time 0.327 (0.344) Data 0.000 (0.014) Loss 6.2507 (6.5794) Prec@1 0.781 (0.856) Prec@5 6.250 (3.312) Epoch: [0][1050/10010] Time 0.324 (0.344) Data 0.001 (0.014) Loss 6.1939 (6.5762) Prec@1 1.562 (0.865) Prec@5 5.469 (3.342) Epoch: [0][1060/10010] Time 0.351 (0.344) Data 0.001 (0.014) Loss 6.4054 (6.5735) Prec@1 0.000 (0.870) Prec@5 3.906 (3.356) Epoch: [0][1070/10010] Time 0.324 (0.344) Data 0.001 (0.014) Loss 6.2759 (6.5704) Prec@1 1.562 (0.875) Prec@5 5.469 (3.380) Epoch: [0][1080/10010] Time 0.318 (0.344) Data 0.000 (0.013) Loss 6.1755 (6.5668) Prec@1 2.344 (0.885) Prec@5 6.250 (3.409) Epoch: [0][1090/10010] Time 0.333 (0.344) Data 0.000 (0.013) Loss 6.3289 (6.5639) Prec@1 0.000 (0.896) Prec@5 3.125 (3.433) Epoch: [0][1100/10010] Time 0.343 (0.345) Data 0.000 (0.015) Loss 6.2324 (6.5604) Prec@1 1.562 (0.907) Prec@5 7.812 (3.466) Epoch: [0][1110/10010] Time 0.322 (0.345) Data 0.001 (0.015) Loss 6.1936 (6.5572) Prec@1 1.562 (0.916) Prec@5 4.688 (3.493) Epoch: [0][1120/10010] Time 0.336 (0.345) Data 0.001 (0.015) Loss 6.3756 (6.5536) Prec@1 2.344 (0.922) Prec@5 3.125 (3.514) Epoch: [0][1130/10010] Time 0.320 (0.344) Data 0.001 (0.015) Loss 6.2824 (6.5501) Prec@1 0.781 (0.928) Prec@5 5.469 (3.544) Epoch: [0][1140/10010] Time 0.322 (0.344) Data 0.001 (0.015) Loss 6.0394 (6.5466) Prec@1 3.906 (0.939) Prec@5 8.594 (3.569) Epoch: [0][1150/10010] Time 0.332 (0.344) Data 0.000 (0.014) Loss 6.3161 (6.5430) Prec@1 1.562 (0.946) Prec@5 3.125 (3.592) Epoch: [0][1160/10010] Time 0.330 (0.344) Data 0.001 (0.014) Loss 6.0837 (6.5395) Prec@1 0.781 (0.954) Prec@5 5.469 (3.611) Epoch: [0][1170/10010] Time 0.318 (0.344) Data 0.001 (0.014) Loss 6.2117 (6.5365) Prec@1 1.562 (0.957) Prec@5 6.250 (3.627) Epoch: [0][1180/10010] Time 0.329 (0.344) Data 0.000 (0.014) Loss 6.2028 (6.5332) Prec@1 0.781 (0.965) Prec@5 3.906 (3.653) Epoch: [0][1190/10010] Time 0.345 (0.344) Data 0.000 (0.014) Loss 6.1275 (6.5304) Prec@1 1.562 (0.970) Prec@5 5.469 (3.665) Epoch: [0][1200/10010] Time 0.338 (0.344) Data 0.000 (0.014) Loss 5.9858 (6.5267) Prec@1 2.344 (0.978) Prec@5 8.594 (3.698) Epoch: [0][1210/10010] Time 0.329 (0.344) Data 0.000 (0.014) Loss 6.1465 (6.5232) Prec@1 2.344 (0.986) Prec@5 8.594 (3.728) Epoch: [0][1220/10010] Time 0.344 (0.344) Data 0.001 (0.014) Loss 6.2304 (6.5199) Prec@1 1.562 (0.994) Prec@5 3.906 (3.765) Epoch: [0][1230/10010] Time 0.340 (0.343) Data 0.001 (0.014) Loss 6.1563 (6.5167) Prec@1 2.344 (0.998) Prec@5 7.031 (3.789) Epoch: [0][1240/10010] Time 0.337 (0.343) Data 0.000 (0.014) Loss 5.9790 (6.5135) Prec@1 0.781 (1.000) Prec@5 9.375 (3.807) Epoch: [0][1250/10010] Time 0.325 (0.343) Data 0.001 (0.013) Loss 5.8868 (6.5096) Prec@1 2.344 (1.015) Prec@5 11.719 (3.846) Epoch: [0][1260/10010] Time 0.323 (0.345) Data 0.000 (0.015) Loss 6.2309 (6.5060) Prec@1 1.562 (1.023) Prec@5 7.812 (3.876) Epoch: [0][1270/10010] Time 0.330 (0.344) Data 0.000 (0.015) Loss 6.1579 (6.5023) Prec@1 2.344 (1.033) Prec@5 7.812 (3.910) Epoch: [0][1280/10010] Time 0.321 (0.344) Data 0.000 (0.015) Loss 6.0810 (6.4989) Prec@1 0.781 (1.039) Prec@5 7.812 (3.934) Epoch: [0][1290/10010] Time 0.339 (0.344) Data 0.000 (0.015) Loss 6.0200 (6.4951) Prec@1 1.562 (1.046) Prec@5 7.031 (3.967) Epoch: [0][1300/10010] Time 0.337 (0.344) Data 0.000 (0.014) Loss 6.0332 (6.4916) Prec@1 0.781 (1.052) Prec@5 9.375 (4.000) Epoch: [0][1310/10010] Time 0.339 (0.344) Data 0.000 (0.014) Loss 6.1240 (6.4882) Prec@1 2.344 (1.061) Prec@5 7.812 (4.037) Epoch: [0][1320/10010] Time 0.321 (0.344) Data 0.001 (0.014) Loss 6.2354 (6.4851) Prec@1 1.562 (1.071) Prec@5 4.688 (4.065) Epoch: [0][1330/10010] Time 0.343 (0.344) Data 0.000 (0.014) Loss 5.8777 (6.4815) Prec@1 6.250 (1.085) Prec@5 11.719 (4.102) Epoch: [0][1340/10010] Time 0.335 (0.344) Data 0.001 (0.014) Loss 6.0460 (6.4777) Prec@1 3.125 (1.092) Prec@5 10.156 (4.140) Epoch: [0][1350/10010] Time 0.326 (0.344) Data 0.000 (0.014) Loss 5.9765 (6.4745) Prec@1 0.781 (1.096) Prec@5 7.812 (4.163) Epoch: [0][1360/10010] Time 0.321 (0.343) Data 0.000 (0.014) Loss 6.0078 (6.4710) Prec@1 3.125 (1.102) Prec@5 9.375 (4.197) Epoch: [0][1370/10010] Time 0.345 (0.343) Data 0.000 (0.014) Loss 6.0222 (6.4680) Prec@1 0.781 (1.101) Prec@5 5.469 (4.212) Epoch: [0][1380/10010] Time 0.325 (0.343) Data 0.000 (0.014) Loss 6.0680 (6.4650) Prec@1 2.344 (1.105) Prec@5 9.375 (4.238) Epoch: [0][1390/10010] Time 0.336 (0.343) Data 0.000 (0.014) Loss 5.9149 (6.4616) Prec@1 2.344 (1.112) Prec@5 10.156 (4.273) Epoch: [0][1400/10010] Time 0.324 (0.343) Data 0.001 (0.013) Loss 6.1722 (6.4586) Prec@1 0.781 (1.118) Prec@5 5.469 (4.294) Epoch: [0][1410/10010] Time 0.331 (0.343) Data 0.000 (0.013) Loss 5.8733 (6.4557) Prec@1 1.562 (1.123) Prec@5 9.375 (4.315) Epoch: [0][1420/10010] Time 0.326 (0.343) Data 0.000 (0.013) Loss 5.8128 (6.4524) Prec@1 3.125 (1.126) Prec@5 10.938 (4.346) Epoch: [0][1430/10010] Time 0.328 (0.343) Data 0.000 (0.013) Loss 6.2123 (6.4492) Prec@1 0.781 (1.136) Prec@5 4.688 (4.377) Epoch: [0][1440/10010] Time 0.341 (0.343) Data 0.001 (0.013) Loss 6.1399 (6.4459) Prec@1 3.125 (1.144) Prec@5 7.031 (4.406) Epoch: [0][1450/10010] Time 0.340 (0.343) Data 0.000 (0.013) Loss 6.0119 (6.4420) Prec@1 1.562 (1.158) Prec@5 13.281 (4.444) Epoch: [0][1460/10010] Time 0.324 (0.343) Data 0.000 (0.014) Loss 5.8164 (6.4387) Prec@1 3.125 (1.163) Prec@5 10.938 (4.472) Epoch: [0][1470/10010] Time 0.343 (0.343) Data 0.001 (0.014) Loss 5.9033 (6.4352) Prec@1 2.344 (1.175) Prec@5 10.938 (4.498) Epoch: [0][1480/10010] Time 0.325 (0.343) Data 0.001 (0.014) Loss 5.8791 (6.4316) Prec@1 1.562 (1.183) Prec@5 7.812 (4.525) Epoch: [0][1490/10010] Time 0.330 (0.343) Data 0.001 (0.014) Loss 6.0270 (6.4281) Prec@1 1.562 (1.190) Prec@5 7.812 (4.560) Epoch: [0][1500/10010] Time 0.332 (0.343) Data 0.000 (0.013) Loss 6.0578 (6.4246) Prec@1 0.781 (1.197) Prec@5 8.594 (4.598) Epoch: [0][1510/10010] Time 0.336 (0.343) Data 0.000 (0.013) Loss 5.8657 (6.4210) Prec@1 3.906 (1.211) Prec@5 10.156 (4.632) Epoch: [0][1520/10010] Time 0.341 (0.343) Data 0.000 (0.013) Loss 5.7354 (6.4174) Prec@1 4.688 (1.221) Prec@5 13.281 (4.663) Epoch: [0][1530/10010] Time 0.333 (0.343) Data 0.001 (0.013) Loss 5.8439 (6.4137) Prec@1 3.125 (1.229) Prec@5 7.031 (4.690) Epoch: [0][1540/10010] Time 0.341 (0.343) Data 0.000 (0.013) Loss 5.7783 (6.4101) Prec@1 0.000 (1.234) Prec@5 10.938 (4.720) Epoch: [0][1550/10010] Time 0.323 (0.343) Data 0.001 (0.013) Loss 5.8855 (6.4068) Prec@1 1.562 (1.250) Prec@5 9.375 (4.752) Epoch: [0][1560/10010] Time 0.322 (0.343) Data 0.000 (0.013) Loss 5.9757 (6.4041) Prec@1 4.688 (1.257) Prec@5 8.594 (4.777) Epoch: [0][1570/10010] Time 0.335 (0.343) Data 0.001 (0.013) Loss 5.8460 (6.4009) Prec@1 1.562 (1.265) Prec@5 5.469 (4.805) Epoch: [0][1580/10010] Time 0.350 (0.342) Data 0.000 (0.013) Loss 6.1154 (6.3981) Prec@1 0.000 (1.265) Prec@5 5.469 (4.825) Epoch: [0][1590/10010] Time 0.327 (0.342) Data 0.000 (0.013) Loss 5.9675 (6.3947) Prec@1 3.906 (1.273) Prec@5 7.812 (4.857) Epoch: [0][1600/10010] Time 0.322 (0.342) Data 0.001 (0.013) Loss 5.9018 (6.3912) Prec@1 3.125 (1.286) Prec@5 10.156 (4.895) Epoch: [0][1610/10010] Time 0.324 (0.342) Data 0.001 (0.013) Loss 5.8166 (6.3875) Prec@1 4.688 (1.300) Prec@5 8.594 (4.924) Epoch: [0][1620/10010] Time 0.322 (0.342) Data 0.000 (0.013) Loss 5.8427 (6.3838) Prec@1 2.344 (1.310) Prec@5 8.594 (4.955) Epoch: [0][1630/10010] Time 0.323 (0.342) Data 0.000 (0.012) Loss 5.8132 (6.3799) Prec@1 1.562 (1.323) Prec@5 6.250 (4.997) Epoch: [0][1640/10010] Time 0.330 (0.342) Data 0.000 (0.012) Loss 5.7050 (6.3765) Prec@1 6.250 (1.338) Prec@5 13.281 (5.036) Epoch: [0][1650/10010] Time 0.333 (0.342) Data 0.001 (0.013) Loss 5.6468 (6.3732) Prec@1 2.344 (1.350) Prec@5 13.281 (5.071) Epoch: [0][1660/10010] Time 0.325 (0.342) Data 0.000 (0.013) Loss 5.9926 (6.3704) Prec@1 1.562 (1.356) Prec@5 6.250 (5.094) Epoch: [0][1670/10010] Time 0.323 (0.342) Data 0.001 (0.013) Loss 5.8232 (6.3673) Prec@1 3.906 (1.366) Prec@5 9.375 (5.122) Epoch: [0][1680/10010] Time 0.330 (0.342) Data 0.000 (0.013) Loss 5.8202 (6.3638) Prec@1 1.562 (1.379) Prec@5 7.812 (5.163) Epoch: [0][1690/10010] Time 0.317 (0.342) Data 0.001 (0.012) Loss 5.8420 (6.3610) Prec@1 3.125 (1.387) Prec@5 10.156 (5.196) Epoch: [0][1700/10010] Time 0.326 (0.342) Data 0.000 (0.012) Loss 5.9057 (6.3573) Prec@1 2.344 (1.399) Prec@5 11.719 (5.241) Epoch: [0][1710/10010] Time 0.337 (0.342) Data 0.001 (0.012) Loss 5.7038 (6.3540) Prec@1 4.688 (1.410) Prec@5 17.188 (5.276) Epoch: [0][1720/10010] Time 0.340 (0.342) Data 0.000 (0.012) Loss 5.8253 (6.3510) Prec@1 3.125 (1.422) Prec@5 8.594 (5.312) Epoch: [0][1730/10010] Time 0.338 (0.342) Data 0.001 (0.012) Loss 5.6645 (6.3474) Prec@1 3.125 (1.433) Prec@5 13.281 (5.342) Epoch: [0][1740/10010] Time 0.343 (0.342) Data 0.001 (0.012) Loss 5.8634 (6.3439) Prec@1 2.344 (1.443) Prec@5 9.375 (5.379) Epoch: [0][1750/10010] Time 0.321 (0.342) Data 0.001 (0.012) Loss 5.4113 (6.3402) Prec@1 5.469 (1.456) Prec@5 17.188 (5.423) Epoch: [0][1760/10010] Time 0.335 (0.342) Data 0.001 (0.012) Loss 5.8190 (6.3364) Prec@1 3.125 (1.468) Prec@5 10.938 (5.456) Epoch: [0][1770/10010] Time 0.337 (0.342) Data 0.001 (0.012) Loss 5.7733 (6.3329) Prec@1 3.125 (1.479) Prec@5 10.938 (5.490) Epoch: [0][1780/10010] Time 0.327 (0.341) Data 0.000 (0.012) Loss 5.4939 (6.3294) Prec@1 3.906 (1.491) Prec@5 14.062 (5.532) Epoch: [0][1790/10010] Time 0.329 (0.341) Data 0.000 (0.012) Loss 5.8298 (6.3262) Prec@1 0.781 (1.501) Prec@5 10.156 (5.563) Epoch: [0][1800/10010] Time 0.322 (0.341) Data 0.000 (0.012) Loss 5.7740 (6.3231) Prec@1 3.125 (1.507) Prec@5 8.594 (5.588) Epoch: [0][1810/10010] Time 0.318 (0.342) Data 0.000 (0.013) Loss 5.4978 (6.3198) Prec@1 6.250 (1.520) Prec@5 13.281 (5.625) Epoch: [0][1820/10010] Time 0.331 (0.342) Data 0.000 (0.013) Loss 5.8119 (6.3169) Prec@1 0.781 (1.529) Prec@5 9.375 (5.653) /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: [0][1830/10010] Time 0.338 (0.342) Data 0.000 (0.013) Loss 5.6454 (6.3136) Prec@1 5.469 (1.541) Prec@5 12.500 (5.680) Epoch: [0][1840/10010] Time 0.335 (0.342) Data 0.000 (0.013) Loss 5.5807 (6.3103) Prec@1 6.250 (1.549) Prec@5 14.844 (5.708) Epoch: [0][1850/10010] Time 0.330 (0.342) Data 0.000 (0.012) Loss 5.6526 (6.3071) Prec@1 3.906 (1.562) Prec@5 14.844 (5.747) Epoch: [0][1860/10010] Time 0.331 (0.342) Data 0.000 (0.012) Loss 5.5820 (6.3035) Prec@1 3.906 (1.574) Prec@5 9.375 (5.779) Epoch: [0][1870/10010] Time 0.336 (0.342) Data 0.000 (0.012) Loss 5.8174 (6.3002) Prec@1 3.125 (1.592) Prec@5 7.031 (5.812) Epoch: [0][1880/10010] Time 0.336 (0.341) Data 0.001 (0.012) Loss 5.6241 (6.2970) Prec@1 2.344 (1.604) Prec@5 11.719 (5.845) Epoch: [0][1890/10010] Time 0.342 (0.342) Data 0.001 (0.013) Loss 5.7177 (6.2937) Prec@1 2.344 (1.616) Prec@5 10.938 (5.883) Epoch: [0][1900/10010] Time 0.318 (0.342) Data 0.001 (0.013) Loss 5.4202 (6.2904) Prec@1 8.594 (1.629) Prec@5 15.625 (5.915) Epoch: [0][1910/10010] Time 0.343 (0.342) Data 0.001 (0.013) Loss 5.6293 (6.2873) Prec@1 4.688 (1.641) Prec@5 14.844 (5.943) Epoch: [0][1920/10010] Time 0.337 (0.342) Data 0.001 (0.013) Loss 5.5574 (6.2836) Prec@1 4.688 (1.656) Prec@5 12.500 (5.982) Epoch: [0][1930/10010] Time 0.325 (0.342) Data 0.000 (0.013) Loss 5.6563 (6.2803) Prec@1 4.688 (1.663) Prec@5 7.812 (6.009) Epoch: [0][1940/10010] Time 0.342 (0.342) Data 0.000 (0.013) Loss 5.7526 (6.2771) Prec@1 0.781 (1.676) Prec@5 12.500 (6.044) Epoch: [0][1950/10010] Time 0.823 (0.342) Data 0.690 (0.013) Loss 5.7739 (6.2737) Prec@1 1.562 (1.689) Prec@5 10.938 (6.086) Epoch: [0][1960/10010] Time 0.310 (0.343) Data 0.001 (0.014) Loss 5.4574 (6.2702) Prec@1 5.469 (1.702) Prec@5 12.500 (6.119) Epoch: [0][1970/10010] Time 0.321 (0.343) Data 0.001 (0.015) Loss 5.6703 (6.2670) Prec@1 3.906 (1.713) Prec@5 10.156 (6.158) Epoch: [0][1980/10010] Time 0.346 (0.343) Data 0.000 (0.014) Loss 5.4059 (6.2637) Prec@1 6.250 (1.732) Prec@5 14.844 (6.202) Epoch: [0][1990/10010] Time 0.333 (0.343) Data 0.001 (0.014) Loss 5.5791 (6.2604) Prec@1 3.125 (1.743) Prec@5 14.844 (6.239) Epoch: [0][2000/10010] Time 0.337 (0.343) Data 0.001 (0.014) Loss 5.8192 (6.2572) Prec@1 1.562 (1.755) Prec@5 9.375 (6.275) Epoch: [0][2010/10010] Time 0.324 (0.343) Data 0.000 (0.014) Loss 5.2553 (6.2539) Prec@1 6.250 (1.766) Prec@5 19.531 (6.322) Epoch: [0][2020/10010] Time 0.323 (0.343) Data 0.001 (0.014) Loss 5.6897 (6.2513) Prec@1 3.906 (1.777) Prec@5 13.281 (6.349) Epoch: [0][2030/10010] Time 0.322 (0.343) Data 0.000 (0.014) Loss 5.3345 (6.2480) Prec@1 4.688 (1.786) Prec@5 17.969 (6.380) Epoch: [0][2040/10010] Time 0.331 (0.343) Data 0.000 (0.014) Loss 5.4386 (6.2447) Prec@1 7.812 (1.798) Prec@5 15.625 (6.408) Epoch: [0][2050/10010] Time 0.337 (0.343) Data 0.001 (0.014) Loss 5.5181 (6.2414) Prec@1 3.906 (1.809) Prec@5 10.938 (6.439) Epoch: [0][2060/10010] Time 0.325 (0.343) Data 0.001 (0.014) Loss 5.5070 (6.2386) Prec@1 3.906 (1.816) Prec@5 16.406 (6.474) Epoch: [0][2070/10010] Time 0.335 (0.343) Data 0.001 (0.014) Loss 5.6005 (6.2355) Prec@1 5.469 (1.829) Prec@5 21.094 (6.514) Epoch: [0][2080/10010] Time 0.347 (0.343) Data 0.001 (0.014) Loss 5.6360 (6.2324) Prec@1 3.125 (1.839) Prec@5 8.594 (6.540) Epoch: [0][2090/10010] Time 0.341 (0.343) Data 0.001 (0.014) Loss 5.5489 (6.2295) Prec@1 7.031 (1.852) Prec@5 22.656 (6.577) Epoch: [0][2100/10010] Time 0.341 (0.343) Data 0.000 (0.014) Loss 5.7830 (6.2264) Prec@1 2.344 (1.864) Prec@5 7.812 (6.611) Epoch: [0][2110/10010] Time 0.325 (0.343) Data 0.001 (0.014) Loss 5.5524 (6.2232) Prec@1 3.125 (1.877) Prec@5 14.844 (6.648) Epoch: [0][2120/10010] Time 0.324 (0.342) Data 0.001 (0.014) Loss 5.5744 (6.2201) Prec@1 4.688 (1.890) Prec@5 13.281 (6.681) Epoch: [0][2130/10010] Time 0.327 (0.343) Data 0.001 (0.015) Loss 5.5997 (6.2167) Prec@1 4.688 (1.905) Prec@5 15.625 (6.727) Epoch: [0][2140/10010] Time 0.329 (0.343) Data 0.000 (0.015) Loss 5.4626 (6.2136) Prec@1 3.906 (1.919) Prec@5 11.719 (6.772) Epoch: [0][2150/10010] Time 0.345 (0.343) Data 0.001 (0.015) Loss 5.4320 (6.2101) Prec@1 5.469 (1.933) Prec@5 14.062 (6.808) Epoch: [0][2160/10010] Time 0.341 (0.343) Data 0.000 (0.014) Loss 5.5918 (6.2072) Prec@1 7.812 (1.945) Prec@5 13.281 (6.848) Epoch: [0][2170/10010] Time 0.320 (0.343) Data 0.001 (0.014) Loss 5.4935 (6.2040) Prec@1 7.031 (1.961) Prec@5 17.969 (6.890) Epoch: [0][2180/10010] Time 0.325 (0.343) Data 0.001 (0.014) Loss 5.6553 (6.2009) Prec@1 1.562 (1.977) Prec@5 11.719 (6.928) Epoch: [0][2190/10010] Time 0.332 (0.343) Data 0.000 (0.014) Loss 5.7718 (6.1980) Prec@1 3.906 (1.991) Prec@5 10.156 (6.963) Epoch: [0][2200/10010] Time 0.322 (0.344) Data 0.001 (0.016) Loss 5.5201 (6.1950) Prec@1 6.250 (2.002) Prec@5 11.719 (6.993) Epoch: [0][2210/10010] Time 0.322 (0.344) Data 0.000 (0.016) Loss 5.5400 (6.1919) Prec@1 4.688 (2.019) Prec@5 14.844 (7.023) Epoch: [0][2220/10010] Time 0.320 (0.344) Data 0.000 (0.016) Loss 5.5342 (6.1889) Prec@1 6.250 (2.035) Prec@5 15.625 (7.056) /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: [0][2230/10010] Time 0.326 (0.344) Data 0.000 (0.016) Loss 5.5565 (6.1859) Prec@1 4.688 (2.047) Prec@5 12.500 (7.091) Epoch: [0][2240/10010] Time 0.324 (0.344) Data 0.000 (0.016) Loss 5.3765 (6.1828) Prec@1 7.031 (2.062) Prec@5 14.844 (7.124) Epoch: [0][2250/10010] Time 0.326 (0.344) Data 0.000 (0.016) Loss 5.8075 (6.1799) Prec@1 3.906 (2.078) Prec@5 11.719 (7.162) Epoch: [0][2260/10010] Time 0.328 (0.344) Data 0.000 (0.016) Loss 5.5948 (6.1770) Prec@1 5.469 (2.094) Prec@5 17.969 (7.200) Epoch: [0][2270/10010] Time 0.329 (0.344) Data 0.001 (0.016) Loss 5.5150 (6.1744) Prec@1 5.469 (2.106) Prec@5 16.406 (7.233) Epoch: [0][2280/10010] Time 0.321 (0.344) Data 0.001 (0.016) Loss 5.6164 (6.1718) Prec@1 7.812 (2.122) Prec@5 15.625 (7.266) Epoch: [0][2290/10010] Time 0.322 (0.344) Data 0.000 (0.016) Loss 5.6380 (6.1688) Prec@1 3.906 (2.131) Prec@5 15.625 (7.299) Epoch: [0][2300/10010] Time 0.334 (0.344) Data 0.000 (0.015) Loss 5.4751 (6.1659) Prec@1 7.031 (2.145) Prec@5 16.406 (7.339) Epoch: [0][2310/10010] Time 0.331 (0.344) Data 0.001 (0.015) Loss 5.4082 (6.1632) Prec@1 8.594 (2.163) Prec@5 19.531 (7.370) Epoch: [0][2320/10010] Time 0.330 (0.344) Data 0.001 (0.015) Loss 5.2982 (6.1599) Prec@1 5.469 (2.176) Prec@5 16.406 (7.408) Epoch: [0][2330/10010] Time 0.333 (0.344) Data 0.001 (0.015) Loss 5.5861 (6.1571) Prec@1 3.906 (2.187) Prec@5 8.594 (7.434) Epoch: [0][2340/10010] Time 0.337 (0.343) Data 0.000 (0.015) Loss 5.6098 (6.1540) Prec@1 2.344 (2.204) Prec@5 14.844 (7.473) Epoch: [0][2350/10010] Time 0.323 (0.344) Data 0.000 (0.016) Loss 5.3343 (6.1512) Prec@1 6.250 (2.215) Prec@5 17.188 (7.504) Epoch: [0][2360/10010] Time 0.337 (0.344) Data 0.001 (0.016) Loss 5.5818 (6.1481) Prec@1 8.594 (2.229) Prec@5 17.188 (7.543) Epoch: [0][2370/10010] Time 0.322 (0.344) Data 0.000 (0.016) Loss 5.5638 (6.1452) Prec@1 4.688 (2.240) Prec@5 10.938 (7.575) Epoch: [0][2380/10010] Time 0.313 (0.344) Data 0.001 (0.016) Loss 5.4805 (6.1425) Prec@1 6.250 (2.253) Prec@5 14.062 (7.605) Epoch: [0][2390/10010] Time 0.328 (0.344) Data 0.001 (0.016) Loss 5.6168 (6.1393) Prec@1 0.781 (2.269) Prec@5 14.844 (7.647) Epoch: [0][2400/10010] Time 0.345 (0.344) Data 0.001 (0.016) Loss 5.2842 (6.1363) Prec@1 3.125 (2.283) Prec@5 17.969 (7.682) Epoch: [0][2410/10010] Time 0.333 (0.344) Data 0.001 (0.016) Loss 5.3766 (6.1335) Prec@1 2.344 (2.295) Prec@5 14.844 (7.716) Epoch: [0][2420/10010] Time 0.342 (0.344) Data 0.000 (0.016) Loss 5.3915 (6.1306) Prec@1 6.250 (2.305) Prec@5 15.625 (7.747) Epoch: [0][2430/10010] Time 0.353 (0.344) Data 0.065 (0.015) Loss 5.3340 (6.1279) Prec@1 8.594 (2.314) Prec@5 21.875 (7.784) Epoch: [0][2440/10010] Time 0.334 (0.344) Data 0.000 (0.015) Loss 5.4961 (6.1251) Prec@1 6.250 (2.323) Prec@5 12.500 (7.816) Epoch: [0][2450/10010] Time 0.329 (0.344) Data 0.001 (0.015) Loss 5.5750 (6.1221) Prec@1 5.469 (2.338) Prec@5 15.625 (7.857) Epoch: [0][2460/10010] Time 0.322 (0.343) Data 0.000 (0.015) Loss 5.6670 (6.1193) Prec@1 5.469 (2.354) Prec@5 10.938 (7.893) Epoch: [0][2470/10010] Time 0.341 (0.343) Data 0.001 (0.015) Loss 5.4830 (6.1165) Prec@1 5.469 (2.367) Prec@5 14.844 (7.927) Epoch: [0][2480/10010] Time 0.340 (0.343) Data 0.001 (0.015) Loss 5.3721 (6.1135) Prec@1 4.688 (2.378) Prec@5 14.844 (7.966) Epoch: [0][2490/10010] Time 0.326 (0.343) Data 0.000 (0.015) Loss 5.4358 (6.1109) Prec@1 6.250 (2.393) Prec@5 15.625 (7.999) Epoch: [0][2500/10010] Time 0.323 (0.343) Data 0.000 (0.015) Loss 5.3182 (6.1079) Prec@1 3.906 (2.407) Prec@5 15.625 (8.039) Epoch: [0][2510/10010] Time 0.333 (0.343) Data 0.049 (0.015) Loss 5.3277 (6.1048) Prec@1 9.375 (2.420) Prec@5 20.312 (8.078) Epoch: [0][2520/10010] Time 0.386 (0.343) Data 0.248 (0.015) Loss 5.2055 (6.1020) Prec@1 6.250 (2.432) Prec@5 14.844 (8.112) Epoch: [0][2530/10010] Time 0.322 (0.343) Data 0.000 (0.015) Loss 5.4208 (6.0990) Prec@1 5.469 (2.447) Prec@5 14.844 (8.147) Epoch: [0][2540/10010] Time 0.344 (0.343) Data 0.000 (0.015) Loss 5.6090 (6.0962) Prec@1 1.562 (2.458) Prec@5 11.719 (8.182) Epoch: [0][2550/10010] Time 0.337 (0.343) Data 0.000 (0.015) Loss 5.1851 (6.0936) Prec@1 8.594 (2.472) Prec@5 18.750 (8.216) Epoch: [0][2560/10010] Time 0.319 (0.343) Data 0.001 (0.015) Loss 5.2422 (6.0906) Prec@1 7.812 (2.483) Prec@5 17.969 (8.254) Epoch: [0][2570/10010] Time 0.317 (0.343) Data 0.001 (0.015) Loss 5.3085 (6.0879) Prec@1 5.469 (2.498) Prec@5 17.188 (8.292) Epoch: [0][2580/10010] Time 0.340 (0.343) Data 0.000 (0.015) Loss 5.2926 (6.0851) Prec@1 6.250 (2.512) Prec@5 20.312 (8.326) Epoch: [0][2590/10010] Time 0.318 (0.343) Data 0.001 (0.015) Loss 5.3895 (6.0822) Prec@1 3.906 (2.525) Prec@5 15.625 (8.362) Epoch: [0][2600/10010] Time 0.336 (0.343) Data 0.000 (0.015) Loss 5.3233 (6.0794) Prec@1 6.250 (2.539) Prec@5 16.406 (8.395) Epoch: [0][2610/10010] Time 0.327 (0.343) Data 0.000 (0.015) Loss 5.2280 (6.0765) Prec@1 9.375 (2.552) Prec@5 19.531 (8.429) Epoch: [0][2620/10010] Time 0.341 (0.343) Data 0.000 (0.015) Loss 5.4128 (6.0737) Prec@1 3.906 (2.568) Prec@5 12.500 (8.466) Epoch: [0][2630/10010] Time 0.326 (0.343) Data 0.000 (0.015) Loss 5.5191 (6.0706) Prec@1 3.906 (2.579) Prec@5 14.062 (8.501) Epoch: [0][2640/10010] Time 0.341 (0.343) Data 0.000 (0.015) Loss 5.5378 (6.0678) Prec@1 3.906 (2.593) Prec@5 14.062 (8.538) Epoch: [0][2650/10010] Time 0.326 (0.343) Data 0.000 (0.015) Loss 5.2054 (6.0649) Prec@1 6.250 (2.609) Prec@5 17.969 (8.574) Epoch: [0][2660/10010] Time 0.338 (0.343) Data 0.001 (0.015) Loss 5.4135 (6.0621) Prec@1 7.031 (2.625) Prec@5 18.750 (8.612) Epoch: [0][2670/10010] Time 0.331 (0.343) Data 0.001 (0.015) Loss 5.3236 (6.0595) Prec@1 6.250 (2.641) Prec@5 15.625 (8.646) Epoch: [0][2680/10010] Time 0.342 (0.343) Data 0.001 (0.015) Loss 5.0725 (6.0565) Prec@1 3.906 (2.656) Prec@5 19.531 (8.688) /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: [0][2690/10010] Time 0.339 (0.343) Data 0.001 (0.015) Loss 5.2823 (6.0539) Prec@1 6.250 (2.666) Prec@5 22.656 (8.723) Epoch: [0][2700/10010] Time 0.325 (0.343) Data 0.001 (0.014) Loss 5.3890 (6.0510) Prec@1 7.031 (2.679) Prec@5 19.531 (8.760) Epoch: [0][2710/10010] Time 0.328 (0.343) Data 0.000 (0.014) Loss 5.6070 (6.0483) Prec@1 3.906 (2.695) Prec@5 14.062 (8.798) Epoch: [0][2720/10010] Time 0.352 (0.342) Data 0.000 (0.014) Loss 5.2934 (6.0457) Prec@1 8.594 (2.705) Prec@5 18.750 (8.832) Epoch: [0][2730/10010] Time 0.331 (0.342) Data 0.000 (0.014) Loss 5.3137 (6.0429) Prec@1 5.469 (2.718) Prec@5 19.531 (8.863) Epoch: [0][2740/10010] Time 0.318 (0.342) Data 0.001 (0.014) Loss 5.1094 (6.0402) Prec@1 8.594 (2.730) Prec@5 25.781 (8.895) Epoch: [0][2750/10010] Time 0.325 (0.342) Data 0.001 (0.014) Loss 5.3039 (6.0374) Prec@1 7.031 (2.742) Prec@5 24.219 (8.933) Epoch: [0][2760/10010] Time 0.338 (0.342) Data 0.000 (0.014) Loss 5.3605 (6.0347) Prec@1 5.469 (2.756) Prec@5 18.750 (8.971) Epoch: [0][2770/10010] Time 0.337 (0.342) Data 0.000 (0.014) Loss 4.9977 (6.0321) Prec@1 7.031 (2.769) Prec@5 21.875 (9.003) Epoch: [0][2780/10010] Time 0.329 (0.342) Data 0.000 (0.014) Loss 5.4459 (6.0294) Prec@1 7.031 (2.776) Prec@5 17.969 (9.033) Epoch: [0][2790/10010] Time 0.329 (0.342) Data 0.000 (0.014) Loss 5.1066 (6.0270) Prec@1 7.812 (2.790) Prec@5 26.562 (9.068) Epoch: [0][2800/10010] Time 0.332 (0.342) Data 0.000 (0.014) Loss 5.1548 (6.0242) Prec@1 5.469 (2.805) Prec@5 22.656 (9.111) Epoch: [0][2810/10010] Time 0.343 (0.342) Data 0.001 (0.014) Loss 5.4525 (6.0215) Prec@1 4.688 (2.815) Prec@5 14.062 (9.142) Epoch: [0][2820/10010] Time 0.329 (0.342) Data 0.000 (0.014) Loss 5.1979 (6.0189) Prec@1 10.156 (2.833) Prec@5 17.188 (9.177) Epoch: [0][2830/10010] Time 0.327 (0.342) Data 0.001 (0.014) Loss 5.2814 (6.0167) Prec@1 5.469 (2.847) Prec@5 18.750 (9.205) Epoch: [0][2840/10010] Time 0.327 (0.342) Data 0.000 (0.014) Loss 5.4162 (6.0141) Prec@1 6.250 (2.860) Prec@5 19.531 (9.239) Epoch: [0][2850/10010] Time 2.039 (0.343) Data 1.811 (0.015) Loss 5.0404 (6.0112) Prec@1 7.812 (2.875) Prec@5 21.875 (9.279) Epoch: [0][2860/10010] Time 0.330 (0.343) Data 0.001 (0.014) Loss 5.1986 (6.0083) Prec@1 4.688 (2.888) Prec@5 17.188 (9.312) Epoch: [0][2870/10010] Time 0.321 (0.343) Data 0.001 (0.014) Loss 5.2169 (6.0059) Prec@1 8.594 (2.903) Prec@5 15.625 (9.347) Epoch: [0][2880/10010] Time 0.349 (0.342) Data 0.000 (0.014) Loss 5.4235 (6.0032) Prec@1 6.250 (2.920) Prec@5 14.062 (9.386) Epoch: [0][2890/10010] Time 0.323 (0.342) Data 0.000 (0.014) Loss 5.2096 (6.0006) Prec@1 4.688 (2.937) Prec@5 19.531 (9.419) Epoch: [0][2900/10010] Time 0.333 (0.342) Data 0.001 (0.014) Loss 5.1014 (5.9979) Prec@1 7.031 (2.954) Prec@5 19.531 (9.453) Epoch: [0][2910/10010] Time 0.323 (0.342) Data 0.001 (0.014) Loss 5.3878 (5.9952) Prec@1 6.250 (2.968) Prec@5 20.312 (9.492) Epoch: [0][2920/10010] Time 0.323 (0.342) Data 0.000 (0.014) Loss 5.1087 (5.9926) Prec@1 14.844 (2.986) Prec@5 29.688 (9.537) Epoch: [0][2930/10010] Time 0.335 (0.343) Data 0.000 (0.015) Loss 5.4059 (5.9900) Prec@1 2.344 (2.998) Prec@5 14.844 (9.569) Epoch: [0][2940/10010] Time 0.346 (0.343) Data 0.000 (0.015) Loss 5.4864 (5.9876) Prec@1 6.250 (3.009) Prec@5 15.625 (9.599) Epoch: [0][2950/10010] Time 0.316 (0.343) Data 0.001 (0.015) Loss 4.9300 (5.9847) Prec@1 9.375 (3.023) Prec@5 24.219 (9.639) Epoch: [0][2960/10010] Time 0.344 (0.343) Data 0.000 (0.015) Loss 5.3441 (5.9822) Prec@1 3.906 (3.033) Prec@5 17.969 (9.676) Epoch: [0][2970/10010] Time 0.318 (0.343) Data 0.001 (0.015) Loss 5.2594 (5.9797) Prec@1 6.250 (3.044) Prec@5 25.000 (9.708) Epoch: [0][2980/10010] Time 0.347 (0.343) Data 0.000 (0.015) Loss 5.2800 (5.9773) Prec@1 7.031 (3.055) Prec@5 21.094 (9.735) Epoch: [0][2990/10010] Time 0.336 (0.343) Data 0.001 (0.014) Loss 5.2040 (5.9746) Prec@1 4.688 (3.066) Prec@5 16.406 (9.771) Epoch: [0][3000/10010] Time 0.711 (0.343) Data 0.580 (0.015) Loss 5.2678 (5.9721) Prec@1 10.156 (3.079) Prec@5 20.312 (9.804) Epoch: [0][3010/10010] Time 0.321 (0.343) Data 0.001 (0.015) Loss 5.3590 (5.9697) Prec@1 7.812 (3.093) Prec@5 21.094 (9.841) Epoch: [0][3020/10010] Time 0.329 (0.343) Data 0.000 (0.015) Loss 5.1247 (5.9672) Prec@1 9.375 (3.108) Prec@5 23.438 (9.879) Epoch: [0][3030/10010] Time 0.346 (0.343) Data 0.000 (0.015) Loss 5.1335 (5.9646) Prec@1 7.812 (3.120) Prec@5 21.875 (9.908) Epoch: [0][3040/10010] Time 0.348 (0.343) Data 0.001 (0.015) Loss 5.2619 (5.9619) Prec@1 4.688 (3.136) Prec@5 17.188 (9.946) Epoch: [0][3050/10010] Time 0.318 (0.343) Data 0.001 (0.015) Loss 5.1718 (5.9594) Prec@1 7.812 (3.148) Prec@5 17.188 (9.978) Epoch: [0][3060/10010] Time 0.321 (0.343) Data 0.000 (0.015) Loss 5.3747 (5.9570) Prec@1 7.031 (3.162) Prec@5 17.969 (10.005) Epoch: [0][3070/10010] Time 0.343 (0.343) Data 0.000 (0.015) Loss 5.3686 (5.9545) Prec@1 6.250 (3.175) Prec@5 16.406 (10.039) Epoch: [0][3080/10010] Time 0.328 (0.343) Data 0.001 (0.015) Loss 5.1034 (5.9520) Prec@1 9.375 (3.191) Prec@5 26.562 (10.073) Epoch: [0][3090/10010] Time 0.326 (0.343) Data 0.002 (0.015) Loss 5.1483 (5.9496) Prec@1 7.812 (3.206) Prec@5 21.875 (10.108) Epoch: [0][3100/10010] Time 0.336 (0.343) Data 0.000 (0.015) Loss 5.1641 (5.9469) Prec@1 9.375 (3.220) Prec@5 17.969 (10.144) Epoch: [0][3110/10010] Time 0.322 (0.343) Data 0.001 (0.015) Loss 5.0940 (5.9445) Prec@1 10.938 (3.234) Prec@5 22.656 (10.178) Epoch: [0][3120/10010] Time 0.343 (0.343) Data 0.000 (0.015) Loss 5.1394 (5.9419) Prec@1 9.375 (3.249) Prec@5 21.875 (10.215) Epoch: [0][3130/10010] Time 0.328 (0.343) Data 0.001 (0.015) Loss 5.4379 (5.9396) Prec@1 6.250 (3.264) Prec@5 17.188 (10.245) Epoch: [0][3140/10010] Time 0.341 (0.343) Data 0.000 (0.015) Loss 5.3609 (5.9374) Prec@1 5.469 (3.278) Prec@5 16.406 (10.276) Epoch: [0][3150/10010] Time 0.339 (0.343) Data 0.001 (0.015) Loss 5.3130 (5.9349) Prec@1 4.688 (3.291) Prec@5 21.094 (10.312) Epoch: [0][3160/10010] Time 0.333 (0.343) Data 0.000 (0.015) Loss 5.3834 (5.9324) Prec@1 7.031 (3.307) Prec@5 17.969 (10.346) Epoch: [0][3170/10010] Time 0.331 (0.343) Data 0.000 (0.015) Loss 5.0581 (5.9298) Prec@1 7.031 (3.320) Prec@5 17.969 (10.379) Epoch: [0][3180/10010] Time 0.317 (0.343) Data 0.001 (0.015) Loss 5.0874 (5.9273) Prec@1 6.250 (3.334) Prec@5 23.438 (10.414) Epoch: [0][3190/10010] Time 0.330 (0.343) Data 0.001 (0.015) Loss 5.3243 (5.9251) Prec@1 4.688 (3.345) Prec@5 14.844 (10.440) Epoch: [0][3200/10010] Time 0.335 (0.343) Data 0.001 (0.015) Loss 5.0244 (5.9226) Prec@1 7.031 (3.359) Prec@5 24.219 (10.478) Epoch: [0][3210/10010] Time 0.342 (0.343) Data 0.001 (0.015) Loss 5.0460 (5.9199) Prec@1 9.375 (3.374) Prec@5 25.000 (10.512) Epoch: [0][3220/10010] Time 0.335 (0.343) Data 0.001 (0.015) Loss 5.2118 (5.9175) Prec@1 6.250 (3.388) Prec@5 14.844 (10.548) Epoch: [0][3230/10010] Time 0.337 (0.343) Data 0.000 (0.015) Loss 5.0549 (5.9150) Prec@1 4.688 (3.398) Prec@5 19.531 (10.580) Epoch: [0][3240/10010] Time 0.329 (0.345) Data 0.000 (0.017) Loss 5.0744 (5.9125) Prec@1 8.594 (3.412) Prec@5 18.750 (10.616) Epoch: [0][3250/10010] Time 0.319 (0.344) Data 0.000 (0.017) Loss 5.2629 (5.9099) Prec@1 5.469 (3.427) Prec@5 18.750 (10.650) Epoch: [0][3260/10010] Time 0.320 (0.344) Data 0.001 (0.017) Loss 5.1731 (5.9076) Prec@1 9.375 (3.443) Prec@5 24.219 (10.680) Epoch: [0][3270/10010] Time 0.322 (0.344) Data 0.000 (0.017) Loss 5.2066 (5.9051) Prec@1 7.812 (3.454) Prec@5 17.969 (10.715) Epoch: [0][3280/10010] Time 0.334 (0.344) Data 0.001 (0.017) Loss 5.0333 (5.9027) Prec@1 9.375 (3.466) Prec@5 26.562 (10.746) Epoch: [0][3290/10010] Time 0.316 (0.344) Data 0.000 (0.016) Loss 4.9053 (5.9003) Prec@1 12.500 (3.480) Prec@5 26.562 (10.780) Epoch: [0][3300/10010] Time 0.328 (0.344) Data 0.001 (0.016) Loss 5.1431 (5.8978) Prec@1 5.469 (3.494) Prec@5 15.625 (10.815) Epoch: [0][3310/10010] Time 0.318 (0.344) Data 0.001 (0.016) Loss 5.1033 (5.8953) Prec@1 7.031 (3.507) Prec@5 20.312 (10.846) Epoch: [0][3320/10010] Time 0.339 (0.345) Data 0.001 (0.017) Loss 5.1819 (5.8927) Prec@1 5.469 (3.522) Prec@5 16.406 (10.885) Epoch: [0][3330/10010] Time 0.324 (0.345) Data 0.001 (0.017) Loss 5.1582 (5.8903) Prec@1 8.594 (3.538) Prec@5 23.438 (10.918) Epoch: [0][3340/10010] Time 0.340 (0.344) Data 0.001 (0.017) Loss 5.2116 (5.8880) Prec@1 8.594 (3.551) Prec@5 21.875 (10.955) Epoch: [0][3350/10010] Time 0.318 (0.344) Data 0.001 (0.017) Loss 4.9351 (5.8853) Prec@1 9.375 (3.566) Prec@5 19.531 (10.992) Epoch: [0][3360/10010] Time 0.329 (0.344) Data 0.000 (0.017) Loss 5.1608 (5.8830) Prec@1 7.031 (3.583) Prec@5 18.750 (11.023) Epoch: [0][3370/10010] Time 0.332 (0.344) Data 0.000 (0.017) Loss 4.7231 (5.8803) Prec@1 9.375 (3.597) Prec@5 26.562 (11.057) Epoch: [0][3380/10010] Time 0.320 (0.344) Data 0.001 (0.017) Loss 5.0863 (5.8780) Prec@1 6.250 (3.611) Prec@5 17.969 (11.088) Epoch: [0][3390/10010] Time 0.319 (0.344) Data 0.001 (0.017) Loss 5.3782 (5.8758) Prec@1 4.688 (3.622) Prec@5 14.062 (11.117) Epoch: [0][3400/10010] Time 0.342 (0.345) Data 0.000 (0.017) Loss 5.1900 (5.8733) Prec@1 8.594 (3.637) Prec@5 21.094 (11.154) Epoch: [0][3410/10010] Time 0.323 (0.345) Data 0.001 (0.017) Loss 5.1938 (5.8709) Prec@1 7.031 (3.647) Prec@5 21.094 (11.191) Epoch: [0][3420/10010] Time 0.329 (0.345) Data 0.001 (0.017) Loss 4.8155 (5.8684) Prec@1 8.594 (3.664) Prec@5 22.656 (11.223) Epoch: [0][3430/10010] Time 0.343 (0.345) Data 0.000 (0.017) Loss 4.7776 (5.8658) Prec@1 7.031 (3.677) Prec@5 28.125 (11.262) Epoch: [0][3440/10010] Time 0.321 (0.345) Data 0.001 (0.017) Loss 4.8776 (5.8634) Prec@1 15.625 (3.692) Prec@5 25.000 (11.298) Epoch: [0][3450/10010] Time 0.336 (0.345) Data 0.000 (0.017) Loss 5.1948 (5.8610) Prec@1 8.594 (3.707) Prec@5 24.219 (11.341) Epoch: [0][3460/10010] Time 0.323 (0.345) Data 0.000 (0.017) Loss 4.9444 (5.8585) Prec@1 10.156 (3.722) Prec@5 25.781 (11.378) Epoch: [0][3470/10010] Time 0.336 (0.345) Data 0.001 (0.017) Loss 4.9510 (5.8561) Prec@1 7.812 (3.737) Prec@5 25.781 (11.414) Epoch: [0][3480/10010] Time 0.335 (0.345) Data 0.000 (0.017) Loss 5.1664 (5.8538) Prec@1 13.281 (3.755) Prec@5 24.219 (11.449) Epoch: [0][3490/10010] Time 0.320 (0.345) Data 0.000 (0.018) Loss 5.0403 (5.8515) Prec@1 6.250 (3.769) Prec@5 18.750 (11.480) Epoch: [0][3500/10010] Time 0.319 (0.345) Data 0.001 (0.018) Loss 4.9131 (5.8492) Prec@1 7.812 (3.781) Prec@5 28.906 (11.518) Epoch: [0][3510/10010] Time 0.337 (0.345) Data 0.000 (0.018) Loss 5.1248 (5.8465) Prec@1 7.031 (3.799) Prec@5 17.188 (11.558) Epoch: [0][3520/10010] Time 0.336 (0.345) Data 0.001 (0.018) Loss 4.9754 (5.8440) Prec@1 7.812 (3.813) Prec@5 22.656 (11.594) Epoch: [0][3530/10010] Time 0.327 (0.345) Data 0.000 (0.018) Loss 5.0033 (5.8417) Prec@1 12.500 (3.827) Prec@5 28.906 (11.628) Epoch: [0][3540/10010] Time 0.329 (0.345) Data 0.000 (0.018) Loss 5.2593 (5.8396) Prec@1 7.031 (3.840) Prec@5 19.531 (11.660) Epoch: [0][3550/10010] Time 0.338 (0.345) Data 0.001 (0.018) Loss 5.0358 (5.8374) Prec@1 11.719 (3.856) Prec@5 22.656 (11.691) Epoch: [0][3560/10010] Time 0.326 (0.345) Data 0.001 (0.018) Loss 4.9991 (5.8351) Prec@1 7.812 (3.869) Prec@5 20.312 (11.722) Epoch: [0][3570/10010] Time 0.333 (0.345) Data 0.000 (0.018) Loss 4.9681 (5.8328) Prec@1 8.594 (3.884) Prec@5 17.188 (11.754) Epoch: [0][3580/10010] Time 0.336 (0.345) Data 0.001 (0.018) Loss 5.1343 (5.8305) Prec@1 7.812 (3.901) Prec@5 22.656 (11.784) Epoch: [0][3590/10010] Time 0.341 (0.345) Data 0.000 (0.018) Loss 4.9315 (5.8281) Prec@1 7.812 (3.916) Prec@5 25.781 (11.816) Epoch: [0][3600/10010] Time 0.338 (0.345) Data 0.000 (0.018) Loss 4.9204 (5.8257) Prec@1 13.281 (3.932) Prec@5 28.906 (11.851) Epoch: [0][3610/10010] Time 0.321 (0.345) Data 0.000 (0.018) Loss 4.7033 (5.8234) Prec@1 14.844 (3.950) Prec@5 28.125 (11.888) Epoch: [0][3620/10010] Time 0.338 (0.345) Data 0.001 (0.018) Loss 4.8493 (5.8212) Prec@1 10.156 (3.964) Prec@5 26.562 (11.917) Epoch: [0][3630/10010] Time 0.322 (0.346) Data 0.000 (0.018) Loss 4.7025 (5.8187) Prec@1 9.375 (3.981) Prec@5 28.906 (11.958) Epoch: [0][3640/10010] Time 0.323 (0.346) Data 0.000 (0.019) Loss 4.9019 (5.8161) Prec@1 9.375 (3.998) Prec@5 24.219 (11.997) Epoch: [0][3650/10010] Time 0.323 (0.346) Data 0.001 (0.019) Loss 5.0382 (5.8141) Prec@1 9.375 (4.012) Prec@5 26.562 (12.026) Epoch: [0][3660/10010] Time 0.338 (0.346) Data 0.001 (0.019) Loss 4.8888 (5.8118) Prec@1 10.938 (4.024) Prec@5 24.219 (12.058) Epoch: [0][3670/10010] Time 0.316 (0.346) Data 0.001 (0.019) Loss 5.2352 (5.8094) Prec@1 7.812 (4.038) Prec@5 17.188 (12.094) Epoch: [0][3680/10010] Time 0.322 (0.346) Data 0.000 (0.019) Loss 5.0385 (5.8071) Prec@1 10.938 (4.053) Prec@5 23.438 (12.132) Epoch: [0][3690/10010] Time 0.320 (0.346) Data 0.000 (0.019) Loss 4.9255 (5.8045) Prec@1 10.938 (4.071) Prec@5 24.219 (12.173) Epoch: [0][3700/10010] Time 0.323 (0.346) Data 0.000 (0.018) Loss 5.1119 (5.8024) Prec@1 8.594 (4.086) Prec@5 28.125 (12.208) Epoch: [0][3710/10010] Time 0.347 (0.346) Data 0.000 (0.018) Loss 5.0466 (5.8002) Prec@1 7.812 (4.101) Prec@5 30.469 (12.248) Epoch: [0][3720/10010] Time 0.324 (0.346) Data 0.000 (0.019) Loss 5.1319 (5.7978) Prec@1 7.031 (4.115) Prec@5 21.094 (12.284) Epoch: [0][3730/10010] Time 0.337 (0.346) Data 0.001 (0.019) Loss 4.9478 (5.7955) Prec@1 10.938 (4.132) Prec@5 21.094 (12.320) Epoch: [0][3740/10010] Time 0.336 (0.346) Data 0.001 (0.019) Loss 4.9648 (5.7935) Prec@1 6.250 (4.146) Prec@5 26.562 (12.351) Epoch: [0][3750/10010] Time 0.341 (0.346) Data 0.001 (0.018) Loss 4.8037 (5.7913) Prec@1 13.281 (4.159) Prec@5 29.688 (12.380) Epoch: [0][3760/10010] Time 0.317 (0.346) Data 0.001 (0.018) Loss 4.8236 (5.7889) Prec@1 9.375 (4.180) Prec@5 23.438 (12.417) Epoch: [0][3770/10010] Time 0.335 (0.346) Data 0.000 (0.018) Loss 4.7530 (5.7866) Prec@1 12.500 (4.194) Prec@5 25.781 (12.449) Epoch: [0][3780/10010] Time 0.325 (0.346) Data 0.001 (0.018) Loss 5.1632 (5.7844) Prec@1 6.250 (4.210) Prec@5 22.656 (12.483) Epoch: [0][3790/10010] Time 0.327 (0.346) Data 0.001 (0.018) Loss 5.2080 (5.7821) Prec@1 7.031 (4.226) Prec@5 22.656 (12.518) Epoch: [0][3800/10010] Time 0.318 (0.346) Data 0.000 (0.018) Loss 4.8783 (5.7799) Prec@1 13.281 (4.239) Prec@5 26.562 (12.550) Epoch: [0][3810/10010] Time 0.326 (0.346) Data 0.000 (0.019) Loss 4.8390 (5.7776) Prec@1 14.062 (4.256) Prec@5 26.562 (12.582) Epoch: [0][3820/10010] Time 0.338 (0.346) Data 0.001 (0.019) Loss 5.0454 (5.7753) Prec@1 8.594 (4.275) Prec@5 23.438 (12.620) Epoch: [0][3830/10010] Time 0.326 (0.346) Data 0.001 (0.019) Loss 5.0063 (5.7733) Prec@1 12.500 (4.287) Prec@5 27.344 (12.650) Epoch: [0][3840/10010] Time 0.324 (0.346) Data 0.000 (0.019) Loss 4.7386 (5.7711) Prec@1 9.375 (4.299) Prec@5 27.344 (12.682) Epoch: [0][3850/10010] Time 0.327 (0.346) Data 0.001 (0.019) Loss 4.5919 (5.7687) Prec@1 11.719 (4.317) Prec@5 28.125 (12.717) Epoch: [0][3860/10010] Time 0.322 (0.346) Data 0.000 (0.019) Loss 4.9070 (5.7663) Prec@1 10.156 (4.330) Prec@5 25.000 (12.751) Epoch: [0][3870/10010] Time 0.325 (0.346) Data 0.001 (0.019) Loss 4.9059 (5.7641) Prec@1 12.500 (4.344) Prec@5 26.562 (12.784) Epoch: [0][3880/10010] Time 0.324 (0.346) Data 0.000 (0.018) Loss 4.9651 (5.7617) Prec@1 13.281 (4.360) Prec@5 28.125 (12.817) Epoch: [0][3890/10010] Time 0.331 (0.346) Data 0.001 (0.018) Loss 5.1999 (5.7597) Prec@1 6.250 (4.374) Prec@5 13.281 (12.844) Epoch: [0][3900/10010] Time 0.332 (0.346) Data 0.000 (0.018) Loss 4.6795 (5.7575) Prec@1 13.281 (4.388) Prec@5 29.688 (12.875) Epoch: [0][3910/10010] Time 0.345 (0.346) Data 0.000 (0.019) Loss 4.7371 (5.7554) Prec@1 14.062 (4.402) Prec@5 31.250 (12.906) Epoch: [0][3920/10010] Time 0.343 (0.346) Data 0.000 (0.019) Loss 4.6580 (5.7532) Prec@1 14.062 (4.415) Prec@5 31.250 (12.937) Epoch: [0][3930/10010] Time 0.323 (0.346) Data 0.000 (0.019) Loss 4.9741 (5.7508) Prec@1 6.250 (4.431) Prec@5 25.781 (12.975) Epoch: [0][3940/10010] Time 0.330 (0.346) Data 0.001 (0.018) Loss 4.7490 (5.7484) Prec@1 14.062 (4.445) Prec@5 32.031 (13.013) Epoch: [0][3950/10010] Time 0.312 (0.346) Data 0.001 (0.018) Loss 5.0752 (5.7462) Prec@1 12.500 (4.461) Prec@5 22.656 (13.045) Epoch: [0][3960/10010] Time 0.339 (0.346) Data 0.001 (0.018) Loss 4.8256 (5.7440) Prec@1 10.156 (4.475) Prec@5 28.125 (13.081) Epoch: [0][3970/10010] Time 0.341 (0.346) Data 0.000 (0.018) Loss 4.7067 (5.7417) Prec@1 13.281 (4.493) Prec@5 27.344 (13.117) Epoch: [0][3980/10010] Time 0.335 (0.346) Data 0.000 (0.018) Loss 4.8649 (5.7395) Prec@1 7.812 (4.505) Prec@5 22.656 (13.152) Epoch: [0][3990/10010] Time 0.342 (0.346) Data 0.000 (0.018) Loss 4.7402 (5.7371) Prec@1 10.156 (4.521) Prec@5 25.781 (13.188) Epoch: [0][4000/10010] Time 0.331 (0.346) Data 0.001 (0.018) Loss 5.1214 (5.7349) Prec@1 6.250 (4.535) Prec@5 20.312 (13.219) Epoch: [0][4010/10010] Time 0.330 (0.345) Data 0.000 (0.018) Loss 4.8477 (5.7328) Prec@1 9.375 (4.546) Prec@5 25.000 (13.249) Epoch: [0][4020/10010] Time 0.331 (0.345) Data 0.000 (0.018) Loss 4.6811 (5.7307) Prec@1 7.812 (4.559) Prec@5 30.469 (13.281) Epoch: [0][4030/10010] Time 0.327 (0.345) Data 0.000 (0.018) Loss 4.8366 (5.7285) Prec@1 10.938 (4.573) Prec@5 26.562 (13.309) Epoch: [0][4040/10010] Time 0.327 (0.345) Data 0.000 (0.018) Loss 4.6943 (5.7261) Prec@1 14.844 (4.590) Prec@5 32.812 (13.344) Epoch: [0][4050/10010] Time 0.327 (0.345) Data 0.001 (0.018) Loss 4.8564 (5.7239) Prec@1 10.156 (4.605) Prec@5 26.562 (13.379) Epoch: [0][4060/10010] Time 0.323 (0.345) Data 0.001 (0.018) Loss 4.7685 (5.7215) Prec@1 8.594 (4.624) Prec@5 28.125 (13.415) Epoch: [0][4070/10010] Time 0.344 (0.345) Data 0.000 (0.018) Loss 4.6465 (5.7194) Prec@1 14.844 (4.641) Prec@5 32.031 (13.446) Epoch: [0][4080/10010] Time 0.777 (0.345) Data 0.638 (0.018) Loss 4.6521 (5.7171) Prec@1 7.812 (4.657) Prec@5 25.000 (13.487) Epoch: [0][4090/10010] Time 3.022 (0.346) Data 2.878 (0.019) Loss 4.8366 (5.7147) Prec@1 7.812 (4.673) Prec@5 23.438 (13.520) Epoch: [0][4100/10010] Time 0.320 (0.346) Data 0.007 (0.019) Loss 4.7361 (5.7123) Prec@1 12.500 (4.689) Prec@5 28.906 (13.557) Epoch: [0][4110/10010] Time 0.319 (0.346) Data 0.001 (0.019) Loss 4.9815 (5.7103) Prec@1 7.031 (4.701) Prec@5 21.875 (13.587) Epoch: [0][4120/10010] Time 0.332 (0.346) Data 0.001 (0.019) Loss 4.6064 (5.7079) Prec@1 10.156 (4.716) Prec@5 28.906 (13.625) Epoch: [0][4130/10010] Time 0.321 (0.346) Data 0.000 (0.019) Loss 5.1431 (5.7058) Prec@1 7.031 (4.730) Prec@5 21.094 (13.657) Epoch: [0][4140/10010] Time 0.330 (0.346) Data 0.000 (0.019) Loss 4.9257 (5.7038) Prec@1 10.938 (4.741) Prec@5 25.781 (13.688) Epoch: [0][4150/10010] Time 0.325 (0.346) Data 0.001 (0.019) Loss 4.9718 (5.7016) Prec@1 14.062 (4.757) Prec@5 28.906 (13.720) Epoch: [0][4160/10010] Time 0.322 (0.346) Data 0.000 (0.019) Loss 4.8892 (5.6992) Prec@1 10.938 (4.776) Prec@5 25.000 (13.757) Epoch: [0][4170/10010] Time 0.324 (0.346) Data 0.000 (0.019) Loss 4.6720 (5.6967) Prec@1 12.500 (4.798) Prec@5 28.906 (13.797) Epoch: [0][4180/10010] Time 0.337 (0.346) Data 0.001 (0.019) Loss 4.5941 (5.6944) Prec@1 9.375 (4.816) Prec@5 31.250 (13.831) Epoch: [0][4190/10010] Time 0.323 (0.346) Data 0.000 (0.019) Loss 4.5435 (5.6921) Prec@1 11.719 (4.832) Prec@5 29.688 (13.865) Epoch: [0][4200/10010] Time 0.328 (0.346) Data 0.001 (0.019) Loss 4.7222 (5.6899) Prec@1 14.062 (4.849) Prec@5 29.688 (13.897) Epoch: [0][4210/10010] Time 0.337 (0.346) Data 0.001 (0.019) Loss 4.8443 (5.6878) Prec@1 8.594 (4.864) Prec@5 28.125 (13.932) Epoch: [0][4220/10010] Time 0.342 (0.346) Data 0.000 (0.019) Loss 4.7092 (5.6855) Prec@1 9.375 (4.879) Prec@5 28.906 (13.965) Epoch: [0][4230/10010] Time 0.331 (0.346) Data 0.001 (0.019) Loss 4.8544 (5.6836) Prec@1 7.031 (4.890) Prec@5 20.312 (13.995) Epoch: [0][4240/10010] Time 0.330 (0.346) Data 0.000 (0.019) Loss 4.7711 (5.6814) Prec@1 10.156 (4.907) Prec@5 31.250 (14.032) Epoch: [0][4250/10010] Time 0.320 (0.346) Data 0.001 (0.019) Loss 5.0357 (5.6793) Prec@1 9.375 (4.920) Prec@5 31.250 (14.065) Epoch: [0][4260/10010] Time 0.316 (0.346) Data 0.000 (0.019) Loss 4.6185 (5.6770) Prec@1 8.594 (4.937) Prec@5 25.781 (14.103) Epoch: [0][4270/10010] Time 0.336 (0.346) Data 0.001 (0.019) Loss 4.9303 (5.6749) Prec@1 12.500 (4.952) Prec@5 24.219 (14.137) Epoch: [0][4280/10010] Time 0.322 (0.346) Data 0.001 (0.019) Loss 4.6083 (5.6728) Prec@1 11.719 (4.967) Prec@5 28.125 (14.169) Epoch: [0][4290/10010] Time 0.315 (0.346) Data 0.001 (0.019) Loss 5.0810 (5.6707) Prec@1 6.250 (4.983) Prec@5 21.094 (14.198) /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: [0][4300/10010] Time 0.345 (0.346) Data 0.001 (0.019) Loss 4.8832 (5.6688) Prec@1 9.375 (4.997) Prec@5 25.781 (14.227) Epoch: [0][4310/10010] Time 0.320 (0.346) Data 0.001 (0.019) Loss 4.6213 (5.6666) Prec@1 10.938 (5.013) Prec@5 26.562 (14.258) Epoch: [0][4320/10010] Time 0.320 (0.346) Data 0.000 (0.019) Loss 4.8251 (5.6646) Prec@1 8.594 (5.025) Prec@5 32.031 (14.294) Epoch: [0][4330/10010] Time 0.324 (0.346) Data 0.001 (0.019) Loss 4.5064 (5.6624) Prec@1 14.844 (5.041) Prec@5 34.375 (14.327) Epoch: [0][4340/10010] Time 0.338 (0.346) Data 0.000 (0.019) Loss 4.8794 (5.6603) Prec@1 10.156 (5.059) Prec@5 25.781 (14.361) Epoch: [0][4350/10010] Time 0.330 (0.347) Data 0.001 (0.020) Loss 4.6812 (5.6582) Prec@1 14.844 (5.078) Prec@5 29.688 (14.393) Epoch: [0][4360/10010] Time 0.333 (0.346) Data 0.001 (0.020) Loss 4.8231 (5.6558) Prec@1 7.812 (5.094) Prec@5 25.781 (14.428) Epoch: [0][4370/10010] Time 0.325 (0.346) Data 0.001 (0.019) Loss 4.9651 (5.6540) Prec@1 9.375 (5.107) Prec@5 24.219 (14.453) Epoch: [0][4380/10010] Time 0.345 (0.346) Data 0.001 (0.019) Loss 4.7695 (5.6519) Prec@1 10.156 (5.125) Prec@5 28.125 (14.485) Epoch: [0][4390/10010] Time 0.342 (0.346) Data 0.001 (0.019) Loss 4.4967 (5.6497) Prec@1 10.938 (5.142) Prec@5 37.500 (14.519) Epoch: [0][4400/10010] Time 0.331 (0.346) Data 0.001 (0.019) Loss 4.8529 (5.6476) Prec@1 10.938 (5.159) Prec@5 24.219 (14.549) Epoch: [0][4410/10010] Time 0.326 (0.346) Data 0.000 (0.019) Loss 4.8722 (5.6454) Prec@1 9.375 (5.177) Prec@5 25.000 (14.582) Epoch: [0][4420/10010] Time 0.324 (0.346) Data 0.001 (0.019) Loss 4.6803 (5.6433) Prec@1 15.625 (5.191) Prec@5 33.594 (14.612) Epoch: [0][4430/10010] Time 0.316 (0.347) Data 0.001 (0.020) Loss 4.9780 (5.6415) Prec@1 10.156 (5.205) Prec@5 25.781 (14.646) Epoch: [0][4440/10010] Time 0.326 (0.347) Data 0.001 (0.020) Loss 4.5230 (5.6393) Prec@1 9.375 (5.222) Prec@5 35.156 (14.681) Epoch: [0][4450/10010] Time 0.319 (0.347) Data 0.001 (0.020) Loss 4.6166 (5.6369) Prec@1 10.938 (5.240) Prec@5 31.250 (14.714) Epoch: [0][4460/10010] Time 0.336 (0.347) Data 0.001 (0.020) Loss 4.6548 (5.6347) Prec@1 10.156 (5.253) Prec@5 30.469 (14.748) Epoch: [0][4470/10010] Time 0.328 (0.347) Data 0.000 (0.020) Loss 4.5064 (5.6325) Prec@1 10.938 (5.268) Prec@5 25.781 (14.780) Epoch: [0][4480/10010] Time 0.335 (0.346) Data 0.001 (0.019) Loss 5.0329 (5.6306) Prec@1 10.156 (5.284) Prec@5 20.312 (14.811) Epoch: [0][4490/10010] Time 0.336 (0.346) Data 0.001 (0.019) Loss 4.6712 (5.6283) Prec@1 11.719 (5.302) Prec@5 35.938 (14.850) Epoch: [0][4500/10010] Time 0.343 (0.346) Data 0.000 (0.019) Loss 4.6246 (5.6264) Prec@1 13.281 (5.314) Prec@5 32.031 (14.882) Epoch: [0][4510/10010] Time 0.321 (0.347) Data 0.001 (0.020) Loss 4.6253 (5.6243) Prec@1 11.719 (5.329) Prec@5 25.781 (14.912) Epoch: [0][4520/10010] Time 0.316 (0.347) Data 0.001 (0.020) Loss 4.8303 (5.6222) Prec@1 12.500 (5.344) Prec@5 28.125 (14.947) Epoch: [0][4530/10010] Time 0.317 (0.347) Data 0.001 (0.020) Loss 4.4382 (5.6200) Prec@1 14.844 (5.363) Prec@5 36.719 (14.983) Epoch: [0][4540/10010] Time 0.342 (0.347) Data 0.001 (0.020) Loss 4.8071 (5.6177) Prec@1 12.500 (5.382) Prec@5 29.688 (15.024) Epoch: [0][4550/10010] Time 0.328 (0.347) Data 0.000 (0.020) Loss 4.5610 (5.6157) Prec@1 17.969 (5.401) Prec@5 34.375 (15.055) Epoch: [0][4560/10010] Time 0.347 (0.347) Data 0.001 (0.020) Loss 4.8910 (5.6137) Prec@1 10.156 (5.414) Prec@5 27.344 (15.088) Epoch: [0][4570/10010] Time 0.325 (0.347) Data 0.000 (0.020) Loss 4.7168 (5.6115) Prec@1 9.375 (5.430) Prec@5 25.781 (15.124) Epoch: [0][4580/10010] Time 0.320 (0.347) Data 0.000 (0.020) Loss 4.7236 (5.6096) Prec@1 13.281 (5.442) Prec@5 29.688 (15.154) Epoch: [0][4590/10010] Time 0.324 (0.347) Data 0.001 (0.020) Loss 4.5942 (5.6075) Prec@1 18.750 (5.460) Prec@5 32.812 (15.187) Epoch: [0][4600/10010] Time 0.319 (0.347) Data 0.000 (0.020) Loss 5.0384 (5.6055) Prec@1 9.375 (5.477) Prec@5 17.969 (15.213) Epoch: [0][4610/10010] Time 0.329 (0.347) Data 0.000 (0.020) Loss 4.7670 (5.6037) Prec@1 10.938 (5.491) Prec@5 25.781 (15.241) Epoch: [0][4620/10010] Time 0.326 (0.347) Data 0.000 (0.020) Loss 4.5646 (5.6016) Prec@1 15.625 (5.507) Prec@5 35.938 (15.277) Epoch: [0][4630/10010] Time 0.346 (0.347) Data 0.001 (0.020) Loss 4.5872 (5.5996) Prec@1 14.844 (5.525) Prec@5 28.906 (15.308) Epoch: [0][4640/10010] Time 0.334 (0.347) Data 0.001 (0.020) Loss 4.6518 (5.5976) Prec@1 10.938 (5.540) Prec@5 27.344 (15.338) Epoch: [0][4650/10010] Time 0.334 (0.347) Data 0.000 (0.020) Loss 4.7292 (5.5954) Prec@1 11.719 (5.555) Prec@5 27.344 (15.371) Epoch: [0][4660/10010] Time 0.321 (0.347) Data 0.000 (0.020) Loss 4.4942 (5.5934) Prec@1 17.969 (5.570) Prec@5 31.250 (15.402) Epoch: [0][4670/10010] Time 0.328 (0.347) Data 0.000 (0.020) Loss 4.6846 (5.5915) Prec@1 15.625 (5.585) Prec@5 29.688 (15.432) Epoch: [0][4680/10010] Time 0.339 (0.347) Data 0.000 (0.020) Loss 4.8475 (5.5895) Prec@1 14.062 (5.599) Prec@5 30.469 (15.463) Epoch: [0][4690/10010] Time 0.319 (0.347) Data 0.000 (0.021) Loss 4.5412 (5.5874) Prec@1 18.750 (5.615) Prec@5 37.500 (15.499) Epoch: [0][4700/10010] Time 0.312 (0.347) Data 0.001 (0.021) Loss 4.6948 (5.5854) Prec@1 13.281 (5.634) Prec@5 32.031 (15.535) Epoch: [0][4710/10010] Time 0.329 (0.347) Data 0.000 (0.021) Loss 4.5030 (5.5832) Prec@1 15.625 (5.648) Prec@5 37.500 (15.569) Epoch: [0][4720/10010] Time 0.328 (0.347) Data 0.001 (0.021) Loss 4.6797 (5.5812) Prec@1 11.719 (5.661) Prec@5 33.594 (15.602) Epoch: [0][4730/10010] Time 0.339 (0.347) Data 0.000 (0.021) Loss 4.9229 (5.5790) Prec@1 14.844 (5.678) Prec@5 30.469 (15.635) Epoch: [0][4740/10010] Time 0.334 (0.347) Data 0.000 (0.021) Loss 4.4627 (5.5769) Prec@1 14.062 (5.695) Prec@5 32.812 (15.671) Epoch: [0][4750/10010] Time 0.344 (0.347) Data 0.001 (0.021) Loss 4.4489 (5.5747) Prec@1 13.281 (5.711) Prec@5 32.031 (15.706) Epoch: [0][4760/10010] Time 0.329 (0.348) Data 0.000 (0.021) Loss 4.6228 (5.5727) Prec@1 14.062 (5.728) Prec@5 33.594 (15.739) Epoch: [0][4770/10010] Time 0.323 (0.348) Data 0.001 (0.021) Loss 4.6630 (5.5708) Prec@1 9.375 (5.743) Prec@5 32.812 (15.767) Epoch: [0][4780/10010] Time 0.315 (0.348) Data 0.000 (0.021) Loss 4.4210 (5.5687) Prec@1 14.844 (5.759) Prec@5 31.250 (15.802) Epoch: [0][4790/10010] Time 0.321 (0.348) Data 0.001 (0.021) Loss 4.4336 (5.5665) Prec@1 16.406 (5.778) Prec@5 32.031 (15.840) Epoch: [0][4800/10010] Time 0.328 (0.348) Data 0.001 (0.021) Loss 4.5100 (5.5644) Prec@1 10.938 (5.792) Prec@5 36.719 (15.877) Epoch: [0][4810/10010] Time 0.332 (0.348) Data 0.000 (0.021) Loss 4.5823 (5.5623) Prec@1 15.625 (5.807) Prec@5 31.250 (15.908) Epoch: [0][4820/10010] Time 0.320 (0.348) Data 0.001 (0.021) Loss 4.6519 (5.5602) Prec@1 14.062 (5.822) Prec@5 32.812 (15.940) Epoch: [0][4830/10010] Time 0.325 (0.348) Data 0.001 (0.021) Loss 4.7484 (5.5584) Prec@1 8.594 (5.835) Prec@5 26.562 (15.968) Epoch: [0][4840/10010] Time 0.317 (0.348) Data 0.001 (0.021) Loss 4.7522 (5.5563) Prec@1 15.625 (5.852) Prec@5 31.250 (16.003) Epoch: [0][4850/10010] Time 0.326 (0.348) Data 0.000 (0.022) Loss 4.7042 (5.5542) Prec@1 17.188 (5.869) Prec@5 34.375 (16.036) Epoch: [0][4860/10010] Time 0.333 (0.348) Data 0.001 (0.022) Loss 4.6145 (5.5523) Prec@1 10.938 (5.883) Prec@5 32.812 (16.063) Epoch: [0][4870/10010] Time 0.322 (0.348) Data 0.001 (0.022) Loss 4.4773 (5.5503) Prec@1 14.844 (5.900) Prec@5 35.156 (16.098) Epoch: [0][4880/10010] Time 0.347 (0.348) Data 0.000 (0.022) Loss 4.5037 (5.5483) Prec@1 9.375 (5.912) Prec@5 33.594 (16.130) Epoch: [0][4890/10010] Time 0.322 (0.348) Data 0.000 (0.022) Loss 4.4160 (5.5463) Prec@1 10.156 (5.925) Prec@5 30.469 (16.159) Epoch: [0][4900/10010] Time 0.328 (0.348) Data 0.000 (0.022) Loss 4.4736 (5.5444) Prec@1 17.188 (5.939) Prec@5 34.375 (16.190) Epoch: [0][4910/10010] Time 0.338 (0.348) Data 0.001 (0.021) Loss 4.3297 (5.5424) Prec@1 18.750 (5.954) Prec@5 36.719 (16.223) Epoch: [0][4920/10010] Time 0.338 (0.348) Data 0.001 (0.021) Loss 4.7023 (5.5402) Prec@1 16.406 (5.973) Prec@5 33.594 (16.260) Epoch: [0][4930/10010] Time 0.324 (0.348) Data 0.000 (0.021) Loss 4.5934 (5.5380) Prec@1 17.969 (5.993) Prec@5 32.031 (16.296) Epoch: [0][4940/10010] Time 0.329 (0.348) Data 0.000 (0.021) Loss 4.6012 (5.5362) Prec@1 16.406 (6.009) Prec@5 32.031 (16.327) Epoch: [0][4950/10010] Time 0.338 (0.348) Data 0.000 (0.021) Loss 4.5138 (5.5342) Prec@1 15.625 (6.024) Prec@5 28.125 (16.362) Epoch: [0][4960/10010] Time 0.317 (0.348) Data 0.000 (0.021) Loss 4.7991 (5.5322) Prec@1 7.812 (6.036) Prec@5 29.688 (16.394) Epoch: [0][4970/10010] Time 0.321 (0.348) Data 0.000 (0.022) Loss 4.3373 (5.5302) Prec@1 14.844 (6.051) Prec@5 38.281 (16.425) Epoch: [0][4980/10010] Time 0.331 (0.348) Data 0.000 (0.022) Loss 4.8235 (5.5284) Prec@1 10.156 (6.065) Prec@5 28.906 (16.455) Epoch: [0][4990/10010] Time 0.323 (0.348) Data 0.000 (0.022) Loss 4.6454 (5.5264) Prec@1 18.750 (6.083) Prec@5 37.500 (16.490) Epoch: [0][5000/10010] Time 0.337 (0.348) Data 0.000 (0.022) Loss 4.2715 (5.5243) Prec@1 15.625 (6.098) Prec@5 41.406 (16.525) Epoch: [0][5010/10010] Time 0.342 (0.348) Data 0.000 (0.022) Loss 4.5196 (5.5223) Prec@1 14.062 (6.115) Prec@5 28.906 (16.556) Epoch: [0][5020/10010] Time 0.339 (0.348) Data 0.000 (0.022) Loss 4.8321 (5.5204) Prec@1 11.719 (6.130) Prec@5 29.688 (16.588) Epoch: [0][5030/10010] Time 0.328 (0.348) Data 0.000 (0.022) Loss 4.7599 (5.5185) Prec@1 11.719 (6.143) Prec@5 25.781 (16.616) Epoch: [0][5040/10010] Time 0.328 (0.348) Data 0.013 (0.022) Loss 4.7106 (5.5167) Prec@1 13.281 (6.157) Prec@5 23.438 (16.646) Epoch: [0][5050/10010] Time 0.323 (0.349) Data 0.000 (0.022) Loss 4.9129 (5.5148) Prec@1 11.719 (6.170) Prec@5 28.906 (16.672) Epoch: [0][5060/10010] Time 0.340 (0.348) Data 0.000 (0.022) Loss 4.3272 (5.5129) Prec@1 14.844 (6.182) Prec@5 37.500 (16.703) Epoch: [0][5070/10010] Time 0.337 (0.348) Data 0.000 (0.022) Loss 4.4475 (5.5111) Prec@1 14.062 (6.197) Prec@5 28.125 (16.733) Epoch: [0][5080/10010] Time 0.339 (0.348) Data 0.000 (0.022) Loss 4.6653 (5.5091) Prec@1 14.844 (6.214) Prec@5 30.469 (16.764) Epoch: [0][5090/10010] Time 0.325 (0.348) Data 0.000 (0.022) Loss 4.5509 (5.5072) Prec@1 14.062 (6.227) Prec@5 35.156 (16.795) Epoch: [0][5100/10010] Time 0.334 (0.348) Data 0.001 (0.022) Loss 4.5644 (5.5054) Prec@1 10.938 (6.241) Prec@5 33.594 (16.827) Epoch: [0][5110/10010] Time 0.322 (0.348) Data 0.047 (0.022) Loss 4.6249 (5.5034) Prec@1 19.531 (6.259) Prec@5 34.375 (16.859) Epoch: [0][5120/10010] Time 0.321 (0.348) Data 0.000 (0.022) Loss 4.5201 (5.5016) Prec@1 12.500 (6.275) Prec@5 30.469 (16.890) Epoch: [0][5130/10010] Time 0.337 (0.349) Data 0.151 (0.022) Loss 4.4892 (5.4998) Prec@1 14.062 (6.287) Prec@5 25.781 (16.919) Epoch: [0][5140/10010] Time 0.343 (0.349) Data 0.000 (0.022) Loss 4.5074 (5.4977) Prec@1 13.281 (6.304) Prec@5 35.156 (16.953) Epoch: [0][5150/10010] Time 0.320 (0.349) Data 0.001 (0.022) Loss 4.4937 (5.4958) Prec@1 12.500 (6.317) Prec@5 31.250 (16.983) Epoch: [0][5160/10010] Time 0.330 (0.348) Data 0.001 (0.022) Loss 4.6738 (5.4938) Prec@1 11.719 (6.332) Prec@5 31.250 (17.019) Epoch: [0][5170/10010] Time 0.334 (0.348) Data 0.000 (0.022) Loss 4.4340 (5.4918) Prec@1 14.844 (6.347) Prec@5 29.688 (17.049) Epoch: [0][5180/10010] Time 0.321 (0.348) Data 0.000 (0.022) Loss 4.7092 (5.4898) Prec@1 14.844 (6.361) Prec@5 34.375 (17.078) Epoch: [0][5190/10010] Time 0.325 (0.348) Data 0.000 (0.022) Loss 4.4888 (5.4880) Prec@1 17.969 (6.377) Prec@5 36.719 (17.110) Epoch: [0][5200/10010] Time 0.325 (0.349) Data 0.001 (0.023) Loss 4.5151 (5.4862) Prec@1 13.281 (6.390) Prec@5 33.594 (17.140) Epoch: [0][5210/10010] Time 0.325 (0.349) Data 0.000 (0.023) Loss 4.3358 (5.4843) Prec@1 15.625 (6.403) Prec@5 39.844 (17.171) Epoch: [0][5220/10010] Time 0.313 (0.349) Data 0.001 (0.023) Loss 4.1271 (5.4823) Prec@1 16.406 (6.420) Prec@5 43.750 (17.207) Epoch: [0][5230/10010] Time 0.328 (0.349) Data 0.001 (0.023) Loss 4.6180 (5.4803) Prec@1 11.719 (6.438) Prec@5 31.250 (17.242) Epoch: [0][5240/10010] Time 0.314 (0.349) Data 0.001 (0.023) Loss 4.6958 (5.4784) Prec@1 13.281 (6.456) Prec@5 28.125 (17.276) Epoch: [0][5250/10010] Time 0.341 (0.349) Data 0.000 (0.023) Loss 4.3704 (5.4764) Prec@1 19.531 (6.474) Prec@5 35.156 (17.308) Epoch: [0][5260/10010] Time 0.325 (0.349) Data 0.001 (0.023) Loss 4.2569 (5.4745) Prec@1 17.188 (6.489) Prec@5 35.156 (17.340) Epoch: [0][5270/10010] Time 0.330 (0.349) Data 0.001 (0.023) Loss 4.7607 (5.4726) Prec@1 10.156 (6.507) Prec@5 25.781 (17.372) Epoch: [0][5280/10010] Time 0.344 (0.349) Data 0.001 (0.023) Loss 4.5190 (5.4708) Prec@1 11.719 (6.521) Prec@5 36.719 (17.403) Epoch: [0][5290/10010] Time 0.328 (0.349) Data 0.000 (0.023) Loss 4.3120 (5.4690) Prec@1 21.094 (6.537) Prec@5 37.500 (17.432) Epoch: [0][5300/10010] Time 0.336 (0.349) Data 0.000 (0.023) Loss 4.2419 (5.4671) Prec@1 18.750 (6.556) Prec@5 39.062 (17.461) Epoch: [0][5310/10010] Time 0.329 (0.349) Data 0.001 (0.023) Loss 4.8147 (5.4653) Prec@1 10.156 (6.570) Prec@5 28.906 (17.492) Epoch: [0][5320/10010] Time 0.316 (0.349) Data 0.000 (0.023) Loss 4.3075 (5.4632) Prec@1 16.406 (6.585) Prec@5 37.500 (17.526) Epoch: [0][5330/10010] Time 0.341 (0.349) Data 0.001 (0.023) Loss 4.3472 (5.4612) Prec@1 14.062 (6.601) Prec@5 35.938 (17.554) Epoch: [0][5340/10010] Time 0.334 (0.349) Data 0.001 (0.023) Loss 4.7129 (5.4594) Prec@1 13.281 (6.618) Prec@5 35.156 (17.586) Epoch: [0][5350/10010] Time 0.328 (0.349) Data 0.001 (0.023) Loss 4.3288 (5.4575) Prec@1 13.281 (6.632) Prec@5 34.375 (17.616) Epoch: [0][5360/10010] Time 0.318 (0.349) Data 0.000 (0.023) Loss 4.7263 (5.4558) Prec@1 14.844 (6.645) Prec@5 29.688 (17.644) Epoch: [0][5370/10010] Time 0.327 (0.349) Data 0.000 (0.023) Loss 4.6386 (5.4538) Prec@1 13.281 (6.661) Prec@5 28.906 (17.678) Epoch: [0][5380/10010] Time 0.321 (0.349) Data 0.001 (0.023) Loss 4.4531 (5.4519) Prec@1 15.625 (6.675) Prec@5 36.719 (17.708) Epoch: [0][5390/10010] Time 0.339 (0.349) Data 0.000 (0.023) Loss 4.2690 (5.4501) Prec@1 16.406 (6.694) Prec@5 40.625 (17.740) Epoch: [0][5400/10010] Time 0.341 (0.349) Data 0.000 (0.023) Loss 4.4166 (5.4483) Prec@1 13.281 (6.709) Prec@5 28.906 (17.770) Epoch: [0][5410/10010] Time 0.329 (0.349) Data 0.001 (0.023) Loss 4.3919 (5.4464) Prec@1 14.844 (6.723) Prec@5 35.938 (17.800) Epoch: [0][5420/10010] Time 0.346 (0.349) Data 0.000 (0.023) Loss 4.3412 (5.4448) Prec@1 15.625 (6.739) Prec@5 36.719 (17.826) Epoch: [0][5430/10010] Time 0.332 (0.349) Data 0.000 (0.023) Loss 4.5372 (5.4429) Prec@1 15.625 (6.754) Prec@5 31.250 (17.857) Epoch: [0][5440/10010] Time 0.321 (0.350) Data 0.001 (0.024) Loss 4.5208 (5.4410) Prec@1 15.625 (6.767) Prec@5 32.031 (17.888) Epoch: [0][5450/10010] Time 0.315 (0.350) Data 0.001 (0.024) Loss 4.1785 (5.4392) Prec@1 18.750 (6.783) Prec@5 42.969 (17.917) /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: [0][5460/10010] Time 0.318 (0.350) Data 0.001 (0.024) Loss 4.4778 (5.4374) Prec@1 12.500 (6.797) Prec@5 36.719 (17.946) Epoch: [0][5470/10010] Time 0.325 (0.350) Data 0.000 (0.024) Loss 4.3777 (5.4355) Prec@1 11.719 (6.811) Prec@5 33.594 (17.977) Epoch: [0][5480/10010] Time 0.318 (0.350) Data 0.001 (0.024) Loss 4.1943 (5.4336) Prec@1 15.625 (6.826) Prec@5 37.500 (18.009) Epoch: [0][5490/10010] Time 0.322 (0.350) Data 0.000 (0.024) Loss 4.3576 (5.4317) Prec@1 14.844 (6.842) Prec@5 32.812 (18.040) Epoch: [0][5500/10010] Time 0.323 (0.350) Data 0.000 (0.024) Loss 4.5630 (5.4300) Prec@1 9.375 (6.852) Prec@5 31.250 (18.068) Epoch: [0][5510/10010] Time 0.344 (0.350) Data 0.001 (0.024) Loss 4.3353 (5.4281) Prec@1 19.531 (6.870) Prec@5 35.156 (18.100) Epoch: [0][5520/10010] Time 0.319 (0.350) Data 0.000 (0.024) Loss 4.5692 (5.4264) Prec@1 13.281 (6.886) Prec@5 28.125 (18.128) Epoch: [0][5530/10010] Time 0.346 (0.350) Data 0.000 (0.024) Loss 4.5196 (5.4246) Prec@1 14.844 (6.902) Prec@5 30.469 (18.156) Epoch: [0][5540/10010] Time 0.321 (0.350) Data 0.000 (0.024) Loss 4.2231 (5.4229) Prec@1 15.625 (6.915) Prec@5 40.625 (18.183) Epoch: [0][5550/10010] Time 0.332 (0.350) Data 0.000 (0.024) Loss 4.7377 (5.4211) Prec@1 9.375 (6.928) Prec@5 27.344 (18.211) Epoch: [0][5560/10010] Time 0.333 (0.350) Data 0.000 (0.024) Loss 4.2296 (5.4193) Prec@1 16.406 (6.944) Prec@5 38.281 (18.241) Epoch: [0][5570/10010] Time 0.326 (0.350) Data 0.000 (0.024) Loss 4.4365 (5.4173) Prec@1 16.406 (6.963) Prec@5 38.281 (18.275) Epoch: [0][5580/10010] Time 0.330 (0.350) Data 0.000 (0.024) Loss 4.2645 (5.4156) Prec@1 17.969 (6.976) Prec@5 34.375 (18.302) Epoch: [0][5590/10010] Time 0.319 (0.350) Data 0.000 (0.024) Loss 4.2307 (5.4137) Prec@1 20.312 (6.992) Prec@5 39.844 (18.335) Epoch: [0][5600/10010] Time 0.326 (0.350) Data 0.001 (0.024) Loss 4.4461 (5.4122) Prec@1 10.938 (7.004) Prec@5 35.156 (18.361) Epoch: [0][5610/10010] Time 0.324 (0.350) Data 0.001 (0.024) Loss 4.4348 (5.4104) Prec@1 14.062 (7.017) Prec@5 37.500 (18.391) Epoch: [0][5620/10010] Time 0.342 (0.350) Data 0.000 (0.024) Loss 4.3919 (5.4087) Prec@1 18.750 (7.032) Prec@5 36.719 (18.421) Epoch: [0][5630/10010] Time 0.343 (0.350) Data 0.001 (0.024) Loss 4.2998 (5.4068) Prec@1 17.969 (7.047) Prec@5 37.500 (18.455) Epoch: [0][5640/10010] Time 0.331 (0.350) Data 0.001 (0.024) Loss 4.5909 (5.4051) Prec@1 12.500 (7.061) Prec@5 31.250 (18.483) Epoch: [0][5650/10010] Time 0.338 (0.350) Data 0.000 (0.024) Loss 4.1907 (5.4033) Prec@1 15.625 (7.073) Prec@5 40.625 (18.513) Epoch: [0][5660/10010] Time 0.338 (0.350) Data 0.000 (0.024) Loss 4.7762 (5.4016) Prec@1 12.500 (7.086) Prec@5 34.375 (18.544) Epoch: [0][5670/10010] Time 0.324 (0.350) Data 0.001 (0.024) Loss 4.6394 (5.3997) Prec@1 13.281 (7.100) Prec@5 31.250 (18.575) Epoch: [0][5680/10010] Time 0.321 (0.350) Data 0.000 (0.025) Loss 4.4761 (5.3978) Prec@1 17.188 (7.117) Prec@5 35.156 (18.606) Epoch: [0][5690/10010] Time 0.322 (0.350) Data 0.000 (0.025) Loss 4.5279 (5.3961) Prec@1 15.625 (7.130) Prec@5 31.250 (18.634) Epoch: [0][5700/10010] Time 0.335 (0.350) Data 0.000 (0.025) Loss 4.7561 (5.3945) Prec@1 16.406 (7.145) Prec@5 30.469 (18.663) Epoch: [0][5710/10010] Time 0.325 (0.350) Data 0.001 (0.025) Loss 4.8068 (5.3927) Prec@1 11.719 (7.160) Prec@5 28.906 (18.694) Epoch: [0][5720/10010] Time 0.341 (0.350) Data 0.001 (0.025) Loss 4.6413 (5.3910) Prec@1 14.844 (7.176) Prec@5 28.125 (18.724) Epoch: [0][5730/10010] Time 0.339 (0.350) Data 0.000 (0.025) Loss 4.4960 (5.3893) Prec@1 16.406 (7.191) Prec@5 35.156 (18.754) Epoch: [0][5740/10010] Time 0.565 (0.350) Data 0.433 (0.025) Loss 4.1007 (5.3875) Prec@1 18.750 (7.206) Prec@5 42.969 (18.782) Epoch: [0][5750/10010] Time 0.737 (0.351) Data 0.604 (0.025) Loss 4.3707 (5.3857) Prec@1 13.281 (7.222) Prec@5 34.375 (18.810) Epoch: [0][5760/10010] Time 0.324 (0.351) Data 0.001 (0.025) Loss 4.3608 (5.3838) Prec@1 17.969 (7.241) Prec@5 32.812 (18.843) Epoch: [0][5770/10010] Time 0.323 (0.351) Data 0.000 (0.025) Loss 4.7077 (5.3822) Prec@1 13.281 (7.254) Prec@5 34.375 (18.867) Epoch: [0][5780/10010] Time 0.322 (0.351) Data 0.000 (0.025) Loss 4.7126 (5.3806) Prec@1 15.625 (7.266) Prec@5 29.688 (18.892) Epoch: [0][5790/10010] Time 0.328 (0.351) Data 0.000 (0.025) Loss 4.5151 (5.3790) Prec@1 14.062 (7.280) Prec@5 35.156 (18.919) Epoch: [0][5800/10010] Time 0.318 (0.351) Data 0.001 (0.025) Loss 4.5845 (5.3773) Prec@1 11.719 (7.293) Prec@5 25.000 (18.947) Epoch: [0][5810/10010] Time 0.324 (0.351) Data 0.001 (0.025) Loss 4.1724 (5.3755) Prec@1 15.625 (7.309) Prec@5 35.938 (18.978) Epoch: [0][5820/10010] Time 0.343 (0.351) Data 0.000 (0.026) Loss 4.2463 (5.3738) Prec@1 14.844 (7.323) Prec@5 37.500 (19.006) Epoch: [0][5830/10010] Time 0.328 (0.351) Data 0.001 (0.026) Loss 4.3560 (5.3720) Prec@1 14.062 (7.338) Prec@5 37.500 (19.038) Epoch: [0][5840/10010] Time 0.337 (0.351) Data 0.001 (0.025) Loss 4.2095 (5.3703) Prec@1 18.750 (7.352) Prec@5 36.719 (19.065) Epoch: [0][5850/10010] Time 0.343 (0.351) Data 0.000 (0.025) Loss 4.5121 (5.3686) Prec@1 17.969 (7.368) Prec@5 32.031 (19.095) Epoch: [0][5860/10010] Time 0.324 (0.351) Data 0.000 (0.025) Loss 4.5747 (5.3668) Prec@1 13.281 (7.384) Prec@5 32.031 (19.128) Epoch: [0][5870/10010] Time 0.324 (0.351) Data 0.000 (0.025) Loss 4.3789 (5.3649) Prec@1 16.406 (7.399) Prec@5 35.938 (19.159) Epoch: [0][5880/10010] Time 0.318 (0.351) Data 0.001 (0.025) Loss 4.2549 (5.3633) Prec@1 18.750 (7.412) Prec@5 34.375 (19.186) Epoch: [0][5890/10010] Time 0.334 (0.351) Data 0.021 (0.025) Loss 4.5693 (5.3616) Prec@1 14.844 (7.427) Prec@5 31.250 (19.214) Epoch: [0][5900/10010] Time 0.496 (0.351) Data 0.360 (0.026) Loss 4.7130 (5.3597) Prec@1 9.375 (7.444) Prec@5 28.906 (19.247) Epoch: [0][5910/10010] Time 0.317 (0.351) Data 0.000 (0.026) Loss 4.3136 (5.3578) Prec@1 13.281 (7.461) Prec@5 34.375 (19.279) Epoch: [0][5920/10010] Time 0.315 (0.351) Data 0.000 (0.026) Loss 4.2093 (5.3560) Prec@1 12.500 (7.476) Prec@5 38.281 (19.311) Epoch: [0][5930/10010] Time 0.318 (0.351) Data 0.001 (0.026) Loss 4.5762 (5.3543) Prec@1 16.406 (7.492) Prec@5 32.031 (19.339) Epoch: [0][5940/10010] Time 0.347 (0.351) Data 0.000 (0.026) Loss 4.3665 (5.3525) Prec@1 14.062 (7.505) Prec@5 35.938 (19.369) Epoch: [0][5950/10010] Time 0.334 (0.351) Data 0.001 (0.026) Loss 4.1672 (5.3508) Prec@1 17.188 (7.519) Prec@5 39.844 (19.395) Epoch: [0][5960/10010] Time 0.339 (0.351) Data 0.000 (0.026) Loss 4.6068 (5.3491) Prec@1 13.281 (7.534) Prec@5 31.250 (19.424) Epoch: [0][5970/10010] Time 0.322 (0.351) Data 0.155 (0.026) Loss 4.5090 (5.3474) Prec@1 15.625 (7.548) Prec@5 32.812 (19.451) Epoch: [0][5980/10010] Time 0.321 (0.352) Data 0.001 (0.027) Loss 4.2244 (5.3455) Prec@1 17.969 (7.565) Prec@5 40.625 (19.483) Epoch: [0][5990/10010] Time 0.324 (0.352) Data 0.001 (0.027) Loss 3.8767 (5.3436) Prec@1 18.750 (7.582) Prec@5 43.750 (19.515) Epoch: [0][6000/10010] Time 0.327 (0.352) Data 0.001 (0.027) Loss 4.0958 (5.3418) Prec@1 18.750 (7.596) Prec@5 39.844 (19.540) Epoch: [0][6010/10010] Time 0.331 (0.352) Data 0.000 (0.027) Loss 4.4449 (5.3403) Prec@1 21.875 (7.611) Prec@5 35.156 (19.566) Epoch: [0][6020/10010] Time 0.330 (0.352) Data 0.001 (0.027) Loss 4.2931 (5.3387) Prec@1 19.531 (7.627) Prec@5 39.062 (19.593) Epoch: [0][6030/10010] Time 0.320 (0.352) Data 0.001 (0.027) Loss 4.2278 (5.3371) Prec@1 15.625 (7.642) Prec@5 41.406 (19.618) Epoch: [0][6040/10010] Time 0.319 (0.352) Data 0.001 (0.027) Loss 4.2273 (5.3354) Prec@1 17.969 (7.659) Prec@5 40.625 (19.650) Epoch: [0][6050/10010] Time 0.862 (0.352) Data 0.726 (0.027) Loss 4.3731 (5.3336) Prec@1 14.062 (7.674) Prec@5 35.156 (19.681) Epoch: [0][6060/10010] Time 0.325 (0.352) Data 0.000 (0.027) Loss 4.3814 (5.3319) Prec@1 14.062 (7.688) Prec@5 38.281 (19.712) Epoch: [0][6070/10010] Time 0.323 (0.352) Data 0.000 (0.027) Loss 4.3681 (5.3303) Prec@1 17.188 (7.702) Prec@5 34.375 (19.739) Epoch: [0][6080/10010] Time 0.326 (0.352) Data 0.000 (0.027) Loss 4.2234 (5.3287) Prec@1 17.188 (7.715) Prec@5 38.281 (19.765) Epoch: [0][6090/10010] Time 0.327 (0.352) Data 0.001 (0.027) Loss 3.9890 (5.3269) Prec@1 19.531 (7.728) Prec@5 47.656 (19.795) Epoch: [0][6100/10010] Time 0.324 (0.352) Data 0.001 (0.027) Loss 4.2750 (5.3252) Prec@1 14.062 (7.741) Prec@5 39.844 (19.823) Epoch: [0][6110/10010] Time 0.321 (0.352) Data 0.000 (0.027) Loss 4.1692 (5.3236) Prec@1 12.500 (7.753) Prec@5 36.719 (19.852) Epoch: [0][6120/10010] Time 0.304 (0.352) Data 0.001 (0.027) Loss 4.0824 (5.3219) Prec@1 14.062 (7.766) Prec@5 39.062 (19.880) Epoch: [0][6130/10010] Time 0.334 (0.352) Data 0.000 (0.027) Loss 4.5123 (5.3203) Prec@1 15.625 (7.781) Prec@5 32.812 (19.905) Epoch: [0][6140/10010] Time 0.331 (0.352) Data 0.001 (0.027) Loss 4.3967 (5.3185) Prec@1 14.844 (7.797) Prec@5 39.062 (19.935) Epoch: [0][6150/10010] Time 0.323 (0.352) Data 0.000 (0.027) Loss 3.9893 (5.3170) Prec@1 20.312 (7.808) Prec@5 38.281 (19.960) Epoch: [0][6160/10010] Time 1.528 (0.352) Data 1.395 (0.027) Loss 4.5195 (5.3155) Prec@1 14.062 (7.823) Prec@5 35.938 (19.987) Epoch: [0][6170/10010] Time 0.323 (0.352) Data 0.001 (0.027) Loss 4.0186 (5.3137) Prec@1 21.094 (7.839) Prec@5 42.969 (20.015) Epoch: [0][6180/10010] Time 0.334 (0.352) Data 0.000 (0.027) Loss 4.2972 (5.3119) Prec@1 18.750 (7.856) Prec@5 32.031 (20.044) Epoch: [0][6190/10010] Time 0.332 (0.352) Data 0.001 (0.027) Loss 4.3318 (5.3102) Prec@1 13.281 (7.870) Prec@5 37.500 (20.073) Epoch: [0][6200/10010] Time 0.326 (0.352) Data 0.001 (0.027) Loss 4.5161 (5.3084) Prec@1 16.406 (7.886) Prec@5 32.031 (20.102) Epoch: [0][6210/10010] Time 0.335 (0.352) Data 0.000 (0.027) Loss 3.9219 (5.3069) Prec@1 27.344 (7.901) Prec@5 45.312 (20.130) Epoch: [0][6220/10010] Time 0.322 (0.352) Data 0.000 (0.027) Loss 4.1052 (5.3052) Prec@1 20.312 (7.917) Prec@5 40.625 (20.160) Epoch: [0][6230/10010] Time 0.318 (0.353) Data 0.001 (0.028) Loss 4.2933 (5.3034) Prec@1 14.844 (7.932) Prec@5 38.281 (20.188) Epoch: [0][6240/10010] Time 0.322 (0.353) Data 0.000 (0.028) Loss 4.2194 (5.3018) Prec@1 17.969 (7.947) Prec@5 39.844 (20.217) Epoch: [0][6250/10010] Time 0.334 (0.353) Data 0.000 (0.028) Loss 4.4606 (5.3001) Prec@1 17.188 (7.962) Prec@5 34.375 (20.247) Epoch: [0][6260/10010] Time 0.320 (0.353) Data 0.001 (0.028) Loss 4.2134 (5.2984) Prec@1 14.844 (7.976) Prec@5 38.281 (20.274) Epoch: [0][6270/10010] Time 0.330 (0.352) Data 0.000 (0.028) Loss 4.2775 (5.2969) Prec@1 18.750 (7.989) Prec@5 37.500 (20.301) Epoch: [0][6280/10010] Time 0.325 (0.352) Data 0.001 (0.028) Loss 4.3320 (5.2951) Prec@1 14.062 (8.004) Prec@5 40.625 (20.331) Epoch: [0][6290/10010] Time 0.324 (0.352) Data 0.000 (0.028) Loss 4.0012 (5.2935) Prec@1 21.875 (8.017) Prec@5 42.969 (20.357) Epoch: [0][6300/10010] Time 0.338 (0.352) Data 0.000 (0.027) Loss 4.6516 (5.2919) Prec@1 14.062 (8.030) Prec@5 30.469 (20.386) Epoch: [0][6310/10010] Time 0.327 (0.352) Data 0.000 (0.028) Loss 4.2363 (5.2903) Prec@1 21.094 (8.046) Prec@5 40.625 (20.414) Epoch: [0][6320/10010] Time 0.325 (0.352) Data 0.000 (0.028) Loss 4.1744 (5.2886) Prec@1 12.500 (8.059) Prec@5 40.625 (20.443) Epoch: [0][6330/10010] Time 0.332 (0.353) Data 0.021 (0.028) Loss 4.5594 (5.2869) Prec@1 15.625 (8.073) Prec@5 31.250 (20.472) Epoch: [0][6340/10010] Time 0.327 (0.353) Data 0.000 (0.028) Loss 4.3818 (5.2852) Prec@1 17.188 (8.088) Prec@5 35.938 (20.502) Epoch: [0][6350/10010] Time 0.318 (0.353) Data 0.001 (0.028) Loss 4.1162 (5.2836) Prec@1 19.531 (8.104) Prec@5 38.281 (20.528) Epoch: [0][6360/10010] Time 0.329 (0.353) Data 0.000 (0.028) Loss 4.3932 (5.2821) Prec@1 10.938 (8.118) Prec@5 33.594 (20.555) Epoch: [0][6370/10010] Time 0.336 (0.353) Data 0.001 (0.028) Loss 4.0525 (5.2803) Prec@1 20.312 (8.132) Prec@5 43.750 (20.584) Epoch: [0][6380/10010] Time 0.328 (0.353) Data 0.000 (0.028) Loss 4.3762 (5.2786) Prec@1 18.750 (8.149) Prec@5 35.156 (20.616) Epoch: [0][6390/10010] Time 0.329 (0.353) Data 0.003 (0.028) Loss 4.4368 (5.2771) Prec@1 12.500 (8.161) Prec@5 32.031 (20.643) Epoch: [0][6400/10010] Time 0.328 (0.353) Data 0.000 (0.028) Loss 4.1391 (5.2755) Prec@1 19.531 (8.175) Prec@5 40.625 (20.669) Epoch: [0][6410/10010] Time 0.321 (0.353) Data 0.000 (0.028) Loss 4.2418 (5.2741) Prec@1 15.625 (8.187) Prec@5 39.844 (20.693) Epoch: [0][6420/10010] Time 0.325 (0.353) Data 0.001 (0.028) Loss 4.0327 (5.2724) Prec@1 14.844 (8.200) Prec@5 39.062 (20.724) Epoch: [0][6430/10010] Time 0.320 (0.353) Data 0.000 (0.028) Loss 4.1231 (5.2708) Prec@1 19.531 (8.214) Prec@5 39.844 (20.751) Epoch: [0][6440/10010] Time 0.339 (0.353) Data 0.000 (0.028) Loss 4.4293 (5.2693) Prec@1 17.969 (8.228) Prec@5 38.281 (20.777) Epoch: [0][6450/10010] Time 0.335 (0.353) Data 0.001 (0.028) Loss 4.1798 (5.2676) Prec@1 16.406 (8.242) Prec@5 37.500 (20.805) Epoch: [0][6460/10010] Time 0.327 (0.353) Data 0.000 (0.028) Loss 4.4603 (5.2661) Prec@1 11.719 (8.255) Prec@5 39.844 (20.834) Epoch: [0][6470/10010] Time 0.324 (0.353) Data 0.000 (0.028) Loss 4.2135 (5.2646) Prec@1 16.406 (8.269) Prec@5 34.375 (20.858) Epoch: [0][6480/10010] Time 0.339 (0.353) Data 0.000 (0.028) Loss 4.0772 (5.2630) Prec@1 14.844 (8.283) Prec@5 41.406 (20.884) Epoch: [0][6490/10010] Time 0.318 (0.354) Data 0.001 (0.029) Loss 4.4546 (5.2614) Prec@1 12.500 (8.298) Prec@5 32.812 (20.912) Epoch: [0][6500/10010] Time 0.316 (0.354) Data 0.000 (0.029) Loss 4.1797 (5.2597) Prec@1 14.062 (8.311) Prec@5 40.625 (20.941) Epoch: [0][6510/10010] Time 0.323 (0.353) Data 0.000 (0.029) Loss 4.1333 (5.2583) Prec@1 19.531 (8.322) Prec@5 39.062 (20.964) Epoch: [0][6520/10010] Time 0.339 (0.353) Data 0.000 (0.029) Loss 4.0705 (5.2567) Prec@1 21.094 (8.335) Prec@5 44.531 (20.992) Epoch: [0][6530/10010] Time 0.326 (0.353) Data 0.001 (0.029) Loss 4.3024 (5.2551) Prec@1 21.094 (8.351) Prec@5 37.500 (21.017) Epoch: [0][6540/10010] Time 0.330 (0.353) Data 0.000 (0.029) Loss 4.2341 (5.2534) Prec@1 11.719 (8.365) Prec@5 35.156 (21.047) Epoch: [0][6550/10010] Time 0.335 (0.353) Data 0.000 (0.029) Loss 4.1904 (5.2520) Prec@1 16.406 (8.378) Prec@5 46.875 (21.072) Epoch: [0][6560/10010] Time 0.333 (0.353) Data 0.000 (0.029) Loss 4.4813 (5.2504) Prec@1 16.406 (8.394) Prec@5 34.375 (21.100) Epoch: [0][6570/10010] Time 0.326 (0.354) Data 0.001 (0.029) Loss 4.3192 (5.2487) Prec@1 15.625 (8.408) Prec@5 35.938 (21.129) Epoch: [0][6580/10010] Time 0.320 (0.354) Data 0.001 (0.029) Loss 4.4648 (5.2471) Prec@1 12.500 (8.424) Prec@5 36.719 (21.156) Epoch: [0][6590/10010] Time 0.329 (0.354) Data 0.001 (0.029) Loss 4.2921 (5.2455) Prec@1 17.188 (8.438) Prec@5 39.844 (21.182) Epoch: [0][6600/10010] Time 0.325 (0.354) Data 0.001 (0.029) Loss 4.0928 (5.2438) Prec@1 14.062 (8.452) Prec@5 35.156 (21.210) Epoch: [0][6610/10010] Time 0.338 (0.354) Data 0.001 (0.029) Loss 4.2781 (5.2424) Prec@1 15.625 (8.465) Prec@5 35.156 (21.234) Epoch: [0][6620/10010] Time 0.325 (0.354) Data 0.000 (0.029) Loss 4.3625 (5.2409) Prec@1 17.188 (8.478) Prec@5 29.688 (21.258) Epoch: [0][6630/10010] Time 0.332 (0.354) Data 0.000 (0.029) Loss 3.9921 (5.2393) Prec@1 24.219 (8.493) Prec@5 43.750 (21.286) Epoch: [0][6640/10010] Time 0.316 (0.353) Data 0.000 (0.029) Loss 4.0470 (5.2377) Prec@1 19.531 (8.508) Prec@5 41.406 (21.311) Epoch: [0][6650/10010] Time 0.333 (0.353) Data 0.001 (0.029) Loss 4.3688 (5.2362) Prec@1 17.969 (8.521) Prec@5 35.938 (21.335) Epoch: [0][6660/10010] Time 1.295 (0.354) Data 1.158 (0.029) Loss 4.1476 (5.2347) Prec@1 17.188 (8.533) Prec@5 41.406 (21.360) Epoch: [0][6670/10010] Time 0.319 (0.354) Data 0.000 (0.030) Loss 4.0572 (5.2332) Prec@1 17.969 (8.549) Prec@5 42.969 (21.388) Epoch: [0][6680/10010] Time 0.334 (0.354) Data 0.001 (0.030) Loss 3.9643 (5.2314) Prec@1 22.656 (8.564) Prec@5 39.844 (21.420) Epoch: [0][6690/10010] Time 0.327 (0.354) Data 0.001 (0.030) Loss 4.4611 (5.2298) Prec@1 16.406 (8.576) Prec@5 32.812 (21.445) Epoch: [0][6700/10010] Time 0.338 (0.354) Data 0.001 (0.030) Loss 4.0429 (5.2283) Prec@1 22.656 (8.593) Prec@5 42.188 (21.471) Epoch: [0][6710/10010] Time 0.333 (0.354) Data 0.000 (0.029) Loss 3.7454 (5.2268) Prec@1 24.219 (8.607) Prec@5 48.438 (21.498) Epoch: [0][6720/10010] Time 0.335 (0.354) Data 0.001 (0.029) Loss 4.2206 (5.2252) Prec@1 17.969 (8.619) Prec@5 39.844 (21.526) Epoch: [0][6730/10010] Time 0.318 (0.354) Data 0.000 (0.029) Loss 4.3396 (5.2237) Prec@1 14.062 (8.635) Prec@5 35.938 (21.552) Epoch: [0][6740/10010] Time 2.389 (0.354) Data 2.253 (0.030) Loss 4.1723 (5.2221) Prec@1 14.844 (8.648) Prec@5 39.062 (21.579) Epoch: [0][6750/10010] Time 0.323 (0.355) Data 0.001 (0.031) Loss 4.0089 (5.2205) Prec@1 18.750 (8.662) Prec@5 41.406 (21.604) Epoch: [0][6760/10010] Time 0.320 (0.355) Data 0.001 (0.030) Loss 4.1769 (5.2190) Prec@1 19.531 (8.678) Prec@5 40.625 (21.630) Epoch: [0][6770/10010] Time 0.319 (0.355) Data 0.001 (0.030) Loss 4.2551 (5.2173) Prec@1 15.625 (8.693) Prec@5 35.938 (21.658) Epoch: [0][6780/10010] Time 0.319 (0.355) Data 0.000 (0.030) Loss 4.1043 (5.2156) Prec@1 22.656 (8.709) Prec@5 40.625 (21.688) Epoch: [0][6790/10010] Time 0.323 (0.355) Data 0.000 (0.030) Loss 4.1268 (5.2143) Prec@1 21.875 (8.722) Prec@5 40.625 (21.711) Epoch: [0][6800/10010] Time 0.335 (0.355) Data 0.000 (0.030) Loss 4.3558 (5.2128) Prec@1 14.844 (8.734) Prec@5 35.156 (21.738) Epoch: [0][6810/10010] Time 0.329 (0.355) Data 0.001 (0.030) Loss 4.2196 (5.2113) Prec@1 17.188 (8.747) Prec@5 35.938 (21.763) Epoch: [0][6820/10010] Time 0.331 (0.355) Data 0.001 (0.030) Loss 4.2304 (5.2098) Prec@1 21.094 (8.762) Prec@5 47.656 (21.791) Epoch: [0][6830/10010] Time 4.023 (0.355) Data 3.878 (0.031) Loss 4.2532 (5.2082) Prec@1 17.188 (8.777) Prec@5 36.719 (21.819) Epoch: [0][6840/10010] Time 0.323 (0.355) Data 0.001 (0.031) Loss 3.8341 (5.2066) Prec@1 24.219 (8.793) Prec@5 51.562 (21.850) Epoch: [0][6850/10010] Time 0.326 (0.355) Data 0.000 (0.031) Loss 4.2500 (5.2052) Prec@1 15.625 (8.807) Prec@5 37.500 (21.874) Epoch: [0][6860/10010] Time 0.323 (0.355) Data 0.001 (0.031) Loss 3.9608 (5.2036) Prec@1 24.219 (8.822) Prec@5 42.969 (21.900) Epoch: [0][6870/10010] Time 0.325 (0.355) Data 0.000 (0.031) Loss 4.2118 (5.2021) Prec@1 17.188 (8.835) Prec@5 37.500 (21.924) Epoch: [0][6880/10010] Time 0.336 (0.355) Data 0.000 (0.031) Loss 4.0887 (5.2007) Prec@1 14.844 (8.846) Prec@5 36.719 (21.948) Epoch: [0][6890/10010] Time 0.321 (0.355) Data 0.001 (0.031) Loss 3.8142 (5.1990) Prec@1 24.219 (8.862) Prec@5 43.750 (21.978) Epoch: [0][6900/10010] Time 0.340 (0.355) Data 0.000 (0.030) Loss 4.0202 (5.1975) Prec@1 17.188 (8.878) Prec@5 43.750 (22.006) Epoch: [0][6910/10010] Time 0.332 (0.355) Data 0.001 (0.030) Loss 4.2875 (5.1959) Prec@1 17.969 (8.894) Prec@5 38.281 (22.033) Epoch: [0][6920/10010] Time 0.319 (0.355) Data 0.001 (0.031) Loss 4.2813 (5.1945) Prec@1 17.188 (8.908) Prec@5 40.625 (22.060) Epoch: [0][6930/10010] Time 0.322 (0.356) Data 0.001 (0.031) Loss 4.2426 (5.1929) Prec@1 23.438 (8.924) Prec@5 36.719 (22.086) Epoch: [0][6940/10010] Time 0.324 (0.356) Data 0.001 (0.031) Loss 3.8851 (5.1914) Prec@1 27.344 (8.939) Prec@5 44.531 (22.113) Epoch: [0][6950/10010] Time 0.314 (0.355) Data 0.001 (0.031) Loss 4.1222 (5.1900) Prec@1 14.844 (8.950) Prec@5 44.531 (22.135) Epoch: [0][6960/10010] Time 0.330 (0.355) Data 0.001 (0.031) Loss 4.1314 (5.1884) Prec@1 18.750 (8.965) Prec@5 43.750 (22.164) Epoch: [0][6970/10010] Time 0.327 (0.355) Data 0.000 (0.031) Loss 4.1848 (5.1870) Prec@1 16.406 (8.978) Prec@5 37.500 (22.189) Epoch: [0][6980/10010] Time 0.322 (0.355) Data 0.000 (0.031) Loss 4.0307 (5.1856) Prec@1 12.500 (8.988) Prec@5 42.188 (22.211) Epoch: [0][6990/10010] Time 0.837 (0.355) Data 0.696 (0.031) Loss 3.9717 (5.1841) Prec@1 21.875 (9.001) Prec@5 46.875 (22.236) Epoch: [0][7000/10010] Time 1.241 (0.356) Data 1.102 (0.032) Loss 4.2406 (5.1826) Prec@1 17.969 (9.014) Prec@5 44.531 (22.264) Epoch: [0][7010/10010] Time 0.325 (0.356) Data 0.000 (0.032) Loss 4.2542 (5.1811) Prec@1 17.969 (9.028) Prec@5 35.938 (22.289) Epoch: [0][7020/10010] Time 0.328 (0.356) Data 0.001 (0.032) Loss 4.0974 (5.1796) Prec@1 17.969 (9.042) Prec@5 36.719 (22.315) Epoch: [0][7030/10010] Time 0.325 (0.356) Data 0.001 (0.032) Loss 3.7972 (5.1780) Prec@1 23.438 (9.059) Prec@5 41.406 (22.342) Epoch: [0][7040/10010] Time 0.323 (0.356) Data 0.000 (0.032) Loss 4.0524 (5.1764) Prec@1 18.750 (9.073) Prec@5 43.750 (22.367) Epoch: [0][7050/10010] Time 0.326 (0.356) Data 0.000 (0.032) Loss 4.0591 (5.1750) Prec@1 18.750 (9.087) Prec@5 42.188 (22.391) Epoch: [0][7060/10010] Time 0.319 (0.356) Data 0.001 (0.032) Loss 3.9550 (5.1734) Prec@1 18.750 (9.102) Prec@5 44.531 (22.418) Epoch: [0][7070/10010] Time 1.007 (0.356) Data 0.867 (0.032) Loss 4.0645 (5.1719) Prec@1 21.875 (9.116) Prec@5 38.281 (22.445) Epoch: [0][7080/10010] Time 0.319 (0.357) Data 0.000 (0.032) Loss 4.0191 (5.1703) Prec@1 25.000 (9.134) Prec@5 41.406 (22.473) Epoch: [0][7090/10010] Time 0.325 (0.356) Data 0.000 (0.032) Loss 3.9868 (5.1687) Prec@1 24.219 (9.151) Prec@5 46.094 (22.501) Epoch: [0][7100/10010] Time 0.323 (0.356) Data 0.000 (0.032) Loss 4.3184 (5.1672) Prec@1 20.312 (9.169) Prec@5 40.625 (22.528) Epoch: [0][7110/10010] Time 0.319 (0.356) Data 0.001 (0.032) Loss 4.1615 (5.1657) Prec@1 17.969 (9.184) Prec@5 37.500 (22.555) Epoch: [0][7120/10010] Time 0.340 (0.356) Data 0.001 (0.032) Loss 4.0973 (5.1642) Prec@1 21.875 (9.197) Prec@5 35.938 (22.580) Epoch: [0][7130/10010] Time 0.320 (0.356) Data 0.000 (0.032) Loss 3.8715 (5.1627) Prec@1 21.875 (9.213) Prec@5 42.969 (22.607) Epoch: [0][7140/10010] Time 0.335 (0.356) Data 0.000 (0.032) Loss 3.9950 (5.1613) Prec@1 21.094 (9.227) Prec@5 39.844 (22.630) Epoch: [0][7150/10010] Time 0.319 (0.357) Data 0.000 (0.033) Loss 4.2941 (5.1598) Prec@1 15.625 (9.240) Prec@5 35.156 (22.655) Epoch: [0][7160/10010] Time 0.317 (0.357) Data 0.001 (0.033) Loss 3.9755 (5.1583) Prec@1 15.625 (9.252) Prec@5 44.531 (22.681) Epoch: [0][7170/10010] Time 0.324 (0.357) Data 0.000 (0.033) Loss 3.9121 (5.1568) Prec@1 19.531 (9.266) Prec@5 41.406 (22.707) Epoch: [0][7180/10010] Time 0.325 (0.357) Data 0.000 (0.033) Loss 4.2079 (5.1553) Prec@1 22.656 (9.281) Prec@5 45.312 (22.733) Epoch: [0][7190/10010] Time 0.323 (0.357) Data 0.001 (0.033) Loss 3.9303 (5.1539) Prec@1 25.781 (9.295) Prec@5 42.188 (22.758) Epoch: [0][7200/10010] Time 0.340 (0.357) Data 0.000 (0.033) Loss 4.0086 (5.1524) Prec@1 21.875 (9.308) Prec@5 47.656 (22.784) Epoch: [0][7210/10010] Time 0.344 (0.357) Data 0.000 (0.033) Loss 3.7660 (5.1509) Prec@1 25.781 (9.324) Prec@5 50.000 (22.808) Epoch: [0][7220/10010] Time 0.322 (0.356) Data 0.000 (0.033) Loss 3.8707 (5.1494) Prec@1 21.875 (9.338) Prec@5 45.312 (22.835) Epoch: [0][7230/10010] Time 0.329 (0.356) Data 0.001 (0.032) Loss 4.1717 (5.1480) Prec@1 21.094 (9.352) Prec@5 39.062 (22.859) Epoch: [0][7240/10010] Time 0.334 (0.356) Data 0.000 (0.032) Loss 4.1903 (5.1466) Prec@1 15.625 (9.365) Prec@5 39.844 (22.885) Epoch: [0][7250/10010] Time 0.325 (0.357) Data 0.000 (0.033) Loss 3.9903 (5.1452) Prec@1 20.312 (9.377) Prec@5 46.094 (22.909) Epoch: [0][7260/10010] Time 0.323 (0.357) Data 0.000 (0.033) Loss 3.9648 (5.1436) Prec@1 19.531 (9.391) Prec@5 39.844 (22.936) Epoch: [0][7270/10010] Time 0.322 (0.357) Data 0.000 (0.033) Loss 4.3888 (5.1422) Prec@1 17.969 (9.405) Prec@5 36.719 (22.961) Epoch: [0][7280/10010] Time 0.338 (0.357) Data 0.000 (0.033) Loss 4.2887 (5.1409) Prec@1 14.844 (9.419) Prec@5 34.375 (22.985) Epoch: [0][7290/10010] Time 0.322 (0.357) Data 0.001 (0.033) Loss 4.3513 (5.1394) Prec@1 22.656 (9.435) Prec@5 33.594 (23.011) Epoch: [0][7300/10010] Time 0.328 (0.357) Data 0.000 (0.033) Loss 4.0079 (5.1379) Prec@1 20.312 (9.449) Prec@5 45.312 (23.036) Epoch: [0][7310/10010] Time 0.324 (0.357) Data 0.000 (0.033) Loss 4.3830 (5.1366) Prec@1 16.406 (9.461) Prec@5 33.594 (23.058) Epoch: [0][7320/10010] Time 0.322 (0.357) Data 0.000 (0.033) Loss 4.4106 (5.1353) Prec@1 17.969 (9.474) Prec@5 35.156 (23.081) Epoch: [0][7330/10010] Time 0.326 (0.357) Data 0.000 (0.033) Loss 4.3939 (5.1340) Prec@1 15.625 (9.486) Prec@5 40.625 (23.106) Epoch: [0][7340/10010] Time 0.315 (0.357) Data 0.001 (0.033) Loss 3.8391 (5.1325) Prec@1 23.438 (9.501) Prec@5 49.219 (23.130) Epoch: [0][7350/10010] Time 0.328 (0.357) Data 0.001 (0.033) Loss 4.0040 (5.1310) Prec@1 21.875 (9.517) Prec@5 42.969 (23.155) Epoch: [0][7360/10010] Time 0.336 (0.357) Data 0.001 (0.033) Loss 3.9905 (5.1297) Prec@1 25.000 (9.529) Prec@5 43.750 (23.180) Epoch: [0][7370/10010] Time 0.323 (0.357) Data 0.000 (0.033) Loss 4.3266 (5.1283) Prec@1 10.938 (9.540) Prec@5 37.500 (23.203) Epoch: [0][7380/10010] Time 0.340 (0.357) Data 0.001 (0.033) Loss 3.9673 (5.1267) Prec@1 23.438 (9.554) Prec@5 46.094 (23.231) Epoch: [0][7390/10010] Time 0.324 (0.358) Data 0.000 (0.034) Loss 3.9506 (5.1252) Prec@1 21.094 (9.569) Prec@5 39.062 (23.258) Epoch: [0][7400/10010] Time 0.326 (0.358) Data 0.000 (0.034) Loss 3.9069 (5.1237) Prec@1 17.188 (9.583) Prec@5 43.750 (23.284) Epoch: [0][7410/10010] Time 0.321 (0.358) Data 0.001 (0.034) Loss 3.8587 (5.1223) Prec@1 23.438 (9.596) Prec@5 43.750 (23.310) Epoch: [0][7420/10010] Time 0.319 (0.358) Data 0.001 (0.034) Loss 4.1784 (5.1209) Prec@1 11.719 (9.609) Prec@5 40.625 (23.334) Epoch: [0][7430/10010] Time 0.335 (0.357) Data 0.000 (0.034) Loss 3.8677 (5.1196) Prec@1 19.531 (9.621) Prec@5 50.781 (23.355) Epoch: [0][7440/10010] Time 0.334 (0.357) Data 0.000 (0.034) Loss 4.1631 (5.1183) Prec@1 16.406 (9.633) Prec@5 37.500 (23.376) Epoch: [0][7450/10010] Time 0.321 (0.358) Data 0.015 (0.034) Loss 4.1499 (5.1168) Prec@1 21.094 (9.651) Prec@5 39.062 (23.402) Epoch: [0][7460/10010] Time 0.326 (0.358) Data 0.001 (0.034) Loss 4.1732 (5.1153) Prec@1 17.969 (9.665) Prec@5 35.156 (23.428) Epoch: [0][7470/10010] Time 0.323 (0.358) Data 0.001 (0.035) Loss 3.9087 (5.1138) Prec@1 17.969 (9.679) Prec@5 44.531 (23.453) Epoch: [0][7480/10010] Time 0.322 (0.358) Data 0.000 (0.035) Loss 3.9734 (5.1123) Prec@1 20.312 (9.693) Prec@5 38.281 (23.480) Epoch: [0][7490/10010] Time 0.324 (0.358) Data 0.000 (0.035) Loss 4.2463 (5.1110) Prec@1 18.750 (9.705) Prec@5 39.844 (23.503) Epoch: [0][7500/10010] Time 0.324 (0.358) Data 0.000 (0.034) Loss 4.3300 (5.1095) Prec@1 16.406 (9.720) Prec@5 35.938 (23.530) Epoch: [0][7510/10010] Time 0.326 (0.358) Data 0.001 (0.034) Loss 4.4003 (5.1082) Prec@1 17.188 (9.731) Prec@5 41.406 (23.552) Epoch: [0][7520/10010] Time 0.321 (0.358) Data 0.000 (0.034) Loss 3.7993 (5.1068) Prec@1 23.438 (9.744) Prec@5 46.875 (23.576) Epoch: [0][7530/10010] Time 1.531 (0.358) Data 1.383 (0.035) Loss 3.9227 (5.1054) Prec@1 17.188 (9.756) Prec@5 40.625 (23.601) Epoch: [0][7540/10010] Time 3.704 (0.359) Data 3.561 (0.035) Loss 4.0949 (5.1040) Prec@1 23.438 (9.771) Prec@5 46.094 (23.627) Epoch: [0][7550/10010] Time 0.328 (0.359) Data 0.000 (0.035) Loss 4.0688 (5.1026) Prec@1 18.750 (9.783) Prec@5 41.406 (23.651) Epoch: [0][7560/10010] Time 0.323 (0.359) Data 0.001 (0.035) Loss 4.3245 (5.1011) Prec@1 15.625 (9.797) Prec@5 44.531 (23.677) Epoch: [0][7570/10010] Time 0.317 (0.359) Data 0.001 (0.035) Loss 4.0490 (5.0998) Prec@1 21.875 (9.808) Prec@5 39.844 (23.700) Epoch: [0][7580/10010] Time 0.330 (0.359) Data 0.000 (0.035) Loss 4.0423 (5.0983) Prec@1 20.312 (9.825) Prec@5 35.156 (23.726) Epoch: [0][7590/10010] Time 0.331 (0.359) Data 0.001 (0.035) Loss 4.2797 (5.0968) Prec@1 19.531 (9.839) Prec@5 39.844 (23.753) Epoch: [0][7600/10010] Time 0.320 (0.359) Data 0.000 (0.035) Loss 4.2044 (5.0953) Prec@1 18.750 (9.855) Prec@5 38.281 (23.780) Epoch: [0][7610/10010] Time 0.333 (0.359) Data 0.000 (0.035) Loss 4.1499 (5.0940) Prec@1 17.188 (9.869) Prec@5 38.281 (23.803) Epoch: [0][7620/10010] Time 0.322 (0.359) Data 0.012 (0.035) Loss 4.1047 (5.0926) Prec@1 21.875 (9.882) Prec@5 42.188 (23.827) Epoch: [0][7630/10010] Time 0.312 (0.359) Data 0.001 (0.036) Loss 3.9085 (5.0910) Prec@1 22.656 (9.898) Prec@5 46.875 (23.854) Epoch: [0][7640/10010] Time 0.318 (0.359) Data 0.001 (0.036) Loss 4.1597 (5.0897) Prec@1 15.625 (9.909) Prec@5 34.375 (23.876) Epoch: [0][7650/10010] Time 0.320 (0.359) Data 0.000 (0.036) Loss 4.0408 (5.0884) Prec@1 17.188 (9.921) Prec@5 37.500 (23.898) Epoch: [0][7660/10010] Time 0.326 (0.359) Data 0.000 (0.036) Loss 3.9988 (5.0870) Prec@1 24.219 (9.934) Prec@5 43.750 (23.923) Epoch: [0][7670/10010] Time 0.321 (0.359) Data 0.001 (0.036) Loss 3.6749 (5.0856) Prec@1 28.906 (9.950) Prec@5 50.781 (23.951) Epoch: [0][7680/10010] Time 0.321 (0.359) Data 0.001 (0.036) Loss 3.8238 (5.0841) Prec@1 25.000 (9.965) Prec@5 46.875 (23.977) Epoch: [0][7690/10010] Time 0.325 (0.360) Data 0.001 (0.036) Loss 3.6845 (5.0827) Prec@1 24.219 (9.978) Prec@5 50.781 (23.999) Epoch: [0][7700/10010] Time 0.323 (0.359) Data 0.000 (0.036) Loss 4.1034 (5.0814) Prec@1 21.875 (9.989) Prec@5 39.062 (24.022) Epoch: [0][7710/10010] Time 0.319 (0.359) Data 0.000 (0.036) Loss 4.0037 (5.0800) Prec@1 22.656 (10.004) Prec@5 41.406 (24.047) Epoch: [0][7720/10010] Time 0.334 (0.359) Data 0.000 (0.036) Loss 4.1678 (5.0786) Prec@1 17.969 (10.018) Prec@5 36.719 (24.070) Epoch: [0][7730/10010] Time 0.331 (0.359) Data 0.000 (0.036) Loss 4.0317 (5.0773) Prec@1 20.312 (10.030) Prec@5 36.719 (24.091) Epoch: [0][7740/10010] Time 0.322 (0.359) Data 0.000 (0.036) Loss 3.9773 (5.0760) Prec@1 15.625 (10.041) Prec@5 41.406 (24.116) Epoch: [0][7750/10010] Time 2.267 (0.360) Data 2.134 (0.036) Loss 3.8389 (5.0746) Prec@1 17.969 (10.054) Prec@5 51.562 (24.141) Epoch: [0][7760/10010] Time 0.328 (0.360) Data 0.001 (0.037) Loss 4.3456 (5.0733) Prec@1 12.500 (10.067) Prec@5 32.812 (24.162) Epoch: [0][7770/10010] Time 0.326 (0.360) Data 0.000 (0.037) Loss 3.7787 (5.0719) Prec@1 23.438 (10.080) Prec@5 46.094 (24.185) Epoch: [0][7780/10010] Time 0.328 (0.360) Data 0.000 (0.037) Loss 3.9216 (5.0703) Prec@1 28.906 (10.096) Prec@5 45.312 (24.214) Epoch: [0][7790/10010] Time 0.322 (0.360) Data 0.001 (0.037) Loss 3.8370 (5.0690) Prec@1 26.562 (10.111) Prec@5 46.875 (24.239) Epoch: [0][7800/10010] Time 0.341 (0.360) Data 0.001 (0.037) Loss 4.2933 (5.0677) Prec@1 15.625 (10.125) Prec@5 41.406 (24.263) Epoch: [0][7810/10010] Time 0.320 (0.360) Data 0.000 (0.037) Loss 4.2747 (5.0664) Prec@1 18.750 (10.139) Prec@5 39.062 (24.286) Epoch: [0][7820/10010] Time 0.322 (0.360) Data 0.000 (0.037) Loss 3.8063 (5.0649) Prec@1 27.344 (10.154) Prec@5 42.969 (24.311) Epoch: [0][7830/10010] Time 0.334 (0.361) Data 0.000 (0.038) Loss 4.3909 (5.0635) Prec@1 20.312 (10.168) Prec@5 33.594 (24.336) Epoch: [0][7840/10010] Time 0.321 (0.361) Data 0.001 (0.037) Loss 4.2020 (5.0620) Prec@1 20.312 (10.184) Prec@5 39.062 (24.365) Epoch: [0][7850/10010] Time 0.329 (0.361) Data 0.000 (0.037) Loss 4.0704 (5.0606) Prec@1 17.188 (10.198) Prec@5 35.156 (24.388) Epoch: [0][7860/10010] Time 0.318 (0.361) Data 0.000 (0.037) Loss 3.8341 (5.0593) Prec@1 17.969 (10.209) Prec@5 45.312 (24.411) Epoch: [0][7870/10010] Time 0.317 (0.361) Data 0.002 (0.037) Loss 3.6955 (5.0579) Prec@1 25.781 (10.225) Prec@5 49.219 (24.437) Epoch: [0][7880/10010] Time 0.328 (0.360) Data 0.000 (0.037) Loss 3.8442 (5.0564) Prec@1 17.969 (10.239) Prec@5 44.531 (24.462) Epoch: [0][7890/10010] Time 0.332 (0.360) Data 0.000 (0.037) Loss 4.2368 (5.0552) Prec@1 18.750 (10.250) Prec@5 43.750 (24.483) Epoch: [0][7900/10010] Time 0.320 (0.361) Data 0.000 (0.038) Loss 3.7728 (5.0538) Prec@1 20.312 (10.264) Prec@5 42.969 (24.508) Epoch: [0][7910/10010] Time 0.327 (0.361) Data 0.000 (0.038) Loss 4.1195 (5.0524) Prec@1 17.188 (10.274) Prec@5 38.281 (24.531) Epoch: [0][7920/10010] Time 0.324 (0.361) Data 0.000 (0.038) Loss 3.8365 (5.0510) Prec@1 20.312 (10.290) Prec@5 42.969 (24.557) Epoch: [0][7930/10010] Time 0.315 (0.361) Data 0.001 (0.038) Loss 4.0708 (5.0496) Prec@1 16.406 (10.305) Prec@5 42.969 (24.583) Epoch: [0][7940/10010] Time 0.323 (0.361) Data 0.001 (0.038) Loss 3.8275 (5.0481) Prec@1 21.094 (10.319) Prec@5 48.438 (24.609) Epoch: [0][7950/10010] Time 0.328 (0.361) Data 0.000 (0.038) Loss 3.5968 (5.0466) Prec@1 25.000 (10.334) Prec@5 45.312 (24.635) Epoch: [0][7960/10010] Time 0.332 (0.361) Data 0.001 (0.038) Loss 3.8996 (5.0452) Prec@1 16.406 (10.348) Prec@5 37.500 (24.660) Epoch: [0][7970/10010] Time 0.341 (0.361) Data 0.000 (0.038) Loss 4.0559 (5.0440) Prec@1 18.750 (10.358) Prec@5 46.875 (24.682) Epoch: [0][7980/10010] Time 0.321 (0.361) Data 0.000 (0.038) Loss 3.8338 (5.0427) Prec@1 20.312 (10.372) Prec@5 46.875 (24.705) Epoch: [0][7990/10010] Time 0.312 (0.362) Data 0.000 (0.039) Loss 4.1819 (5.0413) Prec@1 16.406 (10.388) Prec@5 40.625 (24.728) Epoch: [0][8000/10010] Time 0.322 (0.362) Data 0.000 (0.039) Loss 3.6346 (5.0400) Prec@1 27.344 (10.401) Prec@5 47.656 (24.752) Epoch: [0][8010/10010] Time 0.323 (0.362) Data 0.000 (0.039) Loss 3.5633 (5.0387) Prec@1 23.438 (10.412) Prec@5 50.781 (24.773) Epoch: [0][8020/10010] Time 0.312 (0.362) Data 0.000 (0.039) Loss 4.0417 (5.0373) Prec@1 20.312 (10.426) Prec@5 46.875 (24.799) Epoch: [0][8030/10010] Time 0.334 (0.362) Data 0.000 (0.039) Loss 4.0885 (5.0361) Prec@1 23.438 (10.440) Prec@5 40.625 (24.819) Epoch: [0][8040/10010] Time 0.320 (0.362) Data 0.001 (0.039) Loss 3.9029 (5.0348) Prec@1 16.406 (10.453) Prec@5 42.188 (24.842) Epoch: [0][8050/10010] Time 0.320 (0.362) Data 0.000 (0.039) Loss 4.0859 (5.0334) Prec@1 25.000 (10.469) Prec@5 46.094 (24.865) Epoch: [0][8060/10010] Time 0.315 (0.362) Data 0.000 (0.039) Loss 3.9816 (5.0320) Prec@1 18.750 (10.480) Prec@5 42.969 (24.890) Epoch: [0][8070/10010] Time 0.324 (0.362) Data 0.001 (0.040) Loss 3.8208 (5.0307) Prec@1 21.094 (10.493) Prec@5 44.531 (24.911) Epoch: [0][8080/10010] Time 0.323 (0.362) Data 0.000 (0.040) Loss 4.2941 (5.0295) Prec@1 17.188 (10.505) Prec@5 35.938 (24.933) Epoch: [0][8090/10010] Time 0.322 (0.362) Data 0.001 (0.040) Loss 4.0660 (5.0284) Prec@1 17.969 (10.517) Prec@5 41.406 (24.956) Epoch: [0][8100/10010] Time 0.318 (0.362) Data 0.000 (0.040) Loss 3.6911 (5.0270) Prec@1 21.094 (10.529) Prec@5 51.562 (24.982) Epoch: [0][8110/10010] Time 0.323 (0.362) Data 0.000 (0.040) Loss 3.9315 (5.0256) Prec@1 17.969 (10.543) Prec@5 42.188 (25.006) Epoch: [0][8120/10010] Time 0.317 (0.362) Data 0.000 (0.040) Loss 3.6945 (5.0241) Prec@1 25.000 (10.559) Prec@5 47.656 (25.032) Epoch: [0][8130/10010] Time 0.748 (0.363) Data 0.606 (0.040) Loss 3.9848 (5.0228) Prec@1 21.875 (10.572) Prec@5 44.531 (25.053) Epoch: [0][8140/10010] Time 0.665 (0.363) Data 0.524 (0.041) Loss 4.2482 (5.0215) Prec@1 14.844 (10.585) Prec@5 39.844 (25.076) Epoch: [0][8150/10010] Time 0.321 (0.363) Data 0.000 (0.041) Loss 4.1652 (5.0200) Prec@1 18.750 (10.600) Prec@5 40.625 (25.100) Epoch: [0][8160/10010] Time 0.323 (0.363) Data 0.001 (0.041) Loss 4.0826 (5.0187) Prec@1 19.531 (10.614) Prec@5 36.719 (25.123) Epoch: [0][8170/10010] Time 0.315 (0.363) Data 0.002 (0.041) Loss 4.2852 (5.0174) Prec@1 24.219 (10.628) Prec@5 39.844 (25.146) Epoch: [0][8180/10010] Time 0.313 (0.363) Data 0.000 (0.040) Loss 3.8676 (5.0160) Prec@1 21.875 (10.639) Prec@5 43.750 (25.170) Epoch: [0][8190/10010] Time 0.324 (0.363) Data 0.000 (0.040) Loss 3.6350 (5.0147) Prec@1 25.000 (10.650) Prec@5 50.781 (25.196) Epoch: [0][8200/10010] Time 0.330 (0.363) Data 0.000 (0.041) Loss 3.7056 (5.0134) Prec@1 25.781 (10.663) Prec@5 52.344 (25.219) Epoch: [0][8210/10010] Time 0.317 (0.363) Data 0.000 (0.041) Loss 4.2599 (5.0122) Prec@1 19.531 (10.676) Prec@5 43.750 (25.240) Epoch: [0][8220/10010] Time 0.317 (0.364) Data 0.011 (0.041) Loss 4.1236 (5.0109) Prec@1 18.750 (10.690) Prec@5 41.406 (25.263) Epoch: [0][8230/10010] Time 0.319 (0.364) Data 0.001 (0.041) Loss 3.8476 (5.0095) Prec@1 25.000 (10.704) Prec@5 46.875 (25.287) Epoch: [0][8240/10010] Time 0.322 (0.363) Data 0.001 (0.041) Loss 3.7917 (5.0082) Prec@1 24.219 (10.718) Prec@5 47.656 (25.309) Epoch: [0][8250/10010] Time 0.315 (0.363) Data 0.001 (0.041) Loss 3.8250 (5.0068) Prec@1 23.438 (10.732) Prec@5 45.312 (25.333) Epoch: [0][8260/10010] Time 0.343 (0.363) Data 0.000 (0.041) Loss 4.2509 (5.0055) Prec@1 24.219 (10.746) Prec@5 42.188 (25.357) Epoch: [0][8270/10010] Time 0.318 (0.363) Data 0.000 (0.041) Loss 3.8906 (5.0041) Prec@1 22.656 (10.760) Prec@5 41.406 (25.381) Epoch: [0][8280/10010] Time 0.321 (0.364) Data 0.001 (0.042) Loss 4.1393 (5.0030) Prec@1 21.094 (10.770) Prec@5 42.188 (25.401) Epoch: [0][8290/10010] Time 0.319 (0.365) Data 0.001 (0.042) Loss 3.9458 (5.0017) Prec@1 19.531 (10.784) Prec@5 41.406 (25.426) Epoch: [0][8300/10010] Time 0.324 (0.364) Data 0.000 (0.042) Loss 3.7273 (5.0004) Prec@1 25.781 (10.797) Prec@5 50.781 (25.447) Epoch: [0][8310/10010] Time 0.323 (0.364) Data 0.000 (0.042) Loss 4.1495 (4.9990) Prec@1 19.531 (10.811) Prec@5 44.531 (25.471) Epoch: [0][8320/10010] Time 0.324 (0.364) Data 0.001 (0.042) Loss 4.2902 (4.9977) Prec@1 21.094 (10.823) Prec@5 38.281 (25.493) Epoch: [0][8330/10010] Time 0.326 (0.364) Data 0.000 (0.042) Loss 4.1102 (4.9965) Prec@1 21.875 (10.837) Prec@5 38.281 (25.516) Epoch: [0][8340/10010] Time 0.319 (0.364) Data 0.005 (0.042) Loss 3.8919 (4.9952) Prec@1 25.781 (10.851) Prec@5 47.656 (25.538) Epoch: [0][8350/10010] Time 0.317 (0.365) Data 0.001 (0.043) Loss 3.7110 (4.9938) Prec@1 25.000 (10.864) Prec@5 53.125 (25.561) Epoch: [0][8360/10010] Time 0.327 (0.365) Data 0.001 (0.043) Loss 4.0782 (4.9927) Prec@1 18.750 (10.875) Prec@5 42.188 (25.582) Epoch: [0][8370/10010] Time 0.322 (0.365) Data 0.000 (0.043) Loss 4.1061 (4.9914) Prec@1 21.875 (10.886) Prec@5 42.969 (25.606) Epoch: [0][8380/10010] Time 0.322 (0.365) Data 0.001 (0.043) Loss 3.8913 (4.9901) Prec@1 21.094 (10.898) Prec@5 46.875 (25.629) Epoch: [0][8390/10010] Time 0.327 (0.365) Data 0.000 (0.043) Loss 3.7094 (4.9889) Prec@1 25.781 (10.912) Prec@5 44.531 (25.651) Epoch: [0][8400/10010] Time 4.372 (0.366) Data 4.218 (0.044) Loss 3.8516 (4.9876) Prec@1 17.969 (10.923) Prec@5 46.875 (25.674) Epoch: [0][8410/10010] Time 0.328 (0.366) Data 0.000 (0.044) Loss 3.8796 (4.9863) Prec@1 24.219 (10.936) Prec@5 43.750 (25.697) Epoch: [0][8420/10010] Time 0.329 (0.366) Data 0.001 (0.044) Loss 3.7288 (4.9851) Prec@1 21.875 (10.950) Prec@5 42.969 (25.718) Epoch: [0][8430/10010] Time 0.324 (0.366) Data 0.049 (0.044) Loss 3.8148 (4.9839) Prec@1 23.438 (10.962) Prec@5 41.406 (25.738) Epoch: [0][8440/10010] Time 4.711 (0.367) Data 4.564 (0.045) Loss 4.2412 (4.9826) Prec@1 15.625 (10.975) Prec@5 38.281 (25.761) Epoch: [0][8450/10010] Time 0.987 (0.367) Data 0.851 (0.046) Loss 4.0489 (4.9814) Prec@1 25.000 (10.987) Prec@5 41.406 (25.782) Epoch: [0][8460/10010] Time 0.320 (0.367) Data 0.000 (0.045) Loss 4.0190 (4.9801) Prec@1 21.094 (11.004) Prec@5 44.531 (25.806) Epoch: [0][8470/10010] Time 0.310 (0.367) Data 0.001 (0.046) Loss 4.1110 (4.9788) Prec@1 21.094 (11.016) Prec@5 41.406 (25.828) Epoch: [0][8480/10010] Time 0.933 (0.367) Data 0.699 (0.046) Loss 4.1301 (4.9776) Prec@1 21.094 (11.029) Prec@5 44.531 (25.852) Epoch: [0][8490/10010] Time 0.321 (0.368) Data 0.013 (0.046) Loss 3.7086 (4.9763) Prec@1 28.906 (11.042) Prec@5 51.562 (25.875) Epoch: [0][8500/10010] Time 0.318 (0.368) Data 0.000 (0.046) Loss 3.8557 (4.9750) Prec@1 28.125 (11.057) Prec@5 46.094 (25.899) Epoch: [0][8510/10010] Time 0.324 (0.369) Data 0.001 (0.047) Loss 3.6321 (4.9739) Prec@1 20.312 (11.069) Prec@5 49.219 (25.919) Epoch: [0][8520/10010] Time 0.674 (0.369) Data 0.536 (0.047) Loss 3.8534 (4.9727) Prec@1 24.219 (11.081) Prec@5 44.531 (25.942) Epoch: [0][8530/10010] Time 0.314 (0.369) Data 0.081 (0.047) Loss 3.7127 (4.9714) Prec@1 26.562 (11.095) Prec@5 50.781 (25.963) Epoch: [0][8540/10010] Time 4.045 (0.369) Data 3.900 (0.048) Loss 4.0953 (4.9702) Prec@1 23.438 (11.108) Prec@5 42.969 (25.984) Epoch: [0][8550/10010] Time 0.323 (0.370) Data 0.000 (0.048) Loss 3.7812 (4.9689) Prec@1 24.219 (11.123) Prec@5 43.750 (26.007) Epoch: [0][8560/10010] Time 0.590 (0.370) Data 0.449 (0.048) Loss 4.1095 (4.9677) Prec@1 21.875 (11.134) Prec@5 42.188 (26.028) Epoch: [0][8570/10010] Time 0.319 (0.370) Data 0.053 (0.048) Loss 3.9120 (4.9664) Prec@1 17.969 (11.147) Prec@5 40.625 (26.051) Epoch: [0][8580/10010] Time 0.322 (0.370) Data 0.058 (0.049) Loss 3.4778 (4.9649) Prec@1 28.125 (11.160) Prec@5 57.812 (26.074) Epoch: [0][8590/10010] Time 0.315 (0.370) Data 0.001 (0.049) Loss 3.6948 (4.9637) Prec@1 22.656 (11.173) Prec@5 42.969 (26.099) Epoch: [0][8600/10010] Time 2.048 (0.371) Data 1.911 (0.049) Loss 3.7240 (4.9624) Prec@1 28.125 (11.186) Prec@5 50.781 (26.121) Epoch: [0][8610/10010] Time 0.324 (0.371) Data 0.001 (0.050) Loss 3.9535 (4.9612) Prec@1 20.312 (11.196) Prec@5 47.656 (26.140) Epoch: [0][8620/10010] Time 0.317 (0.371) Data 0.000 (0.050) Loss 3.8585 (4.9600) Prec@1 21.094 (11.209) Prec@5 44.531 (26.162) Epoch: [0][8630/10010] Time 0.319 (0.371) Data 0.000 (0.050) Loss 3.6595 (4.9589) Prec@1 27.344 (11.220) Prec@5 52.344 (26.182) Epoch: [0][8640/10010] Time 0.319 (0.371) Data 0.000 (0.050) Loss 3.7179 (4.9578) Prec@1 28.125 (11.231) Prec@5 48.438 (26.201) Epoch: [0][8650/10010] Time 0.316 (0.371) Data 0.000 (0.050) Loss 3.9782 (4.9567) Prec@1 20.312 (11.243) Prec@5 45.312 (26.222) Epoch: [0][8660/10010] Time 0.316 (0.372) Data 0.000 (0.051) Loss 4.1342 (4.9554) Prec@1 16.406 (11.256) Prec@5 38.281 (26.244) Epoch: [0][8670/10010] Time 0.325 (0.372) Data 0.001 (0.051) Loss 3.8079 (4.9541) Prec@1 20.312 (11.271) Prec@5 43.750 (26.269) Epoch: [0][8680/10010] Time 0.324 (0.372) Data 0.017 (0.051) Loss 3.6723 (4.9527) Prec@1 25.781 (11.286) Prec@5 46.875 (26.294) Epoch: [0][8690/10010] Time 0.326 (0.372) Data 0.000 (0.051) Loss 3.9835 (4.9514) Prec@1 17.969 (11.299) Prec@5 44.531 (26.318) Epoch: [0][8700/10010] Time 0.321 (0.372) Data 0.001 (0.051) Loss 4.0241 (4.9502) Prec@1 20.312 (11.312) Prec@5 42.188 (26.340) Epoch: [0][8710/10010] Time 0.312 (0.372) Data 0.001 (0.052) Loss 3.9192 (4.9490) Prec@1 19.531 (11.325) Prec@5 39.844 (26.362) Epoch: [0][8720/10010] Time 0.317 (0.373) Data 0.013 (0.052) Loss 4.0951 (4.9477) Prec@1 18.750 (11.338) Prec@5 39.844 (26.386) Epoch: [0][8730/10010] Time 0.315 (0.373) Data 0.001 (0.052) Loss 3.8195 (4.9464) Prec@1 19.531 (11.348) Prec@5 44.531 (26.406) Epoch: [0][8740/10010] Time 2.214 (0.373) Data 2.079 (0.053) Loss 3.8545 (4.9452) Prec@1 21.094 (11.362) Prec@5 48.438 (26.430) Epoch: [0][8750/10010] Time 0.333 (0.373) Data 0.019 (0.053) Loss 4.0075 (4.9440) Prec@1 19.531 (11.375) Prec@5 46.875 (26.452) Epoch: [0][8760/10010] Time 0.313 (0.373) Data 0.000 (0.053) Loss 4.0654 (4.9429) Prec@1 17.188 (11.388) Prec@5 45.312 (26.474) Epoch: [0][8770/10010] Time 0.320 (0.374) Data 0.000 (0.054) Loss 3.8548 (4.9417) Prec@1 25.781 (11.400) Prec@5 51.562 (26.497) Epoch: [0][8780/10010] Time 0.327 (0.374) Data 0.001 (0.054) Loss 3.8918 (4.9405) Prec@1 22.656 (11.412) Prec@5 48.438 (26.518) Epoch: [0][8790/10010] Time 0.327 (0.374) Data 0.011 (0.054) Loss 3.5805 (4.9393) Prec@1 25.781 (11.426) Prec@5 50.000 (26.541) Epoch: [0][8800/10010] Time 0.315 (0.374) Data 0.000 (0.054) Loss 3.6693 (4.9381) Prec@1 28.906 (11.438) Prec@5 50.781 (26.562) Epoch: [0][8810/10010] Time 1.719 (0.374) Data 1.586 (0.054) Loss 3.6883 (4.9369) Prec@1 26.562 (11.452) Prec@5 48.438 (26.584) Epoch: [0][8820/10010] Time 0.319 (0.375) Data 0.155 (0.055) Loss 4.1263 (4.9357) Prec@1 19.531 (11.465) Prec@5 43.750 (26.606) Epoch: [0][8830/10010] Time 0.319 (0.376) Data 0.001 (0.056) Loss 4.1650 (4.9346) Prec@1 17.969 (11.476) Prec@5 41.406 (26.626) Epoch: [0][8840/10010] Time 0.315 (0.376) Data 0.000 (0.056) Loss 3.9493 (4.9333) Prec@1 22.656 (11.490) Prec@5 45.312 (26.649) Epoch: [0][8850/10010] Time 0.321 (0.376) Data 0.000 (0.056) Loss 4.1149 (4.9320) Prec@1 17.969 (11.504) Prec@5 43.750 (26.672) Epoch: [0][8860/10010] Time 0.315 (0.377) Data 0.001 (0.057) Loss 3.9000 (4.9308) Prec@1 21.094 (11.515) Prec@5 44.531 (26.694) Epoch: [0][8870/10010] Time 0.316 (0.377) Data 0.044 (0.057) Loss 3.9791 (4.9296) Prec@1 19.531 (11.529) Prec@5 42.188 (26.715) Epoch: [0][8880/10010] Time 0.679 (0.377) Data 0.546 (0.057) Loss 3.8098 (4.9285) Prec@1 23.438 (11.540) Prec@5 49.219 (26.733) Epoch: [0][8890/10010] Time 0.610 (0.377) Data 0.471 (0.058) Loss 3.7708 (4.9273) Prec@1 28.125 (11.554) Prec@5 46.875 (26.752) Epoch: [0][8900/10010] Time 0.313 (0.378) Data 0.000 (0.058) Loss 4.1442 (4.9262) Prec@1 14.844 (11.565) Prec@5 39.844 (26.771) Epoch: [0][8910/10010] Time 0.323 (0.378) Data 0.000 (0.059) Loss 3.6297 (4.9250) Prec@1 24.219 (11.577) Prec@5 53.125 (26.792) Epoch: [0][8920/10010] Time 0.324 (0.379) Data 0.039 (0.059) Loss 3.8401 (4.9238) Prec@1 29.688 (11.590) Prec@5 48.438 (26.814) Epoch: [0][8930/10010] Time 0.323 (0.379) Data 0.000 (0.060) Loss 4.0436 (4.9227) Prec@1 19.531 (11.601) Prec@5 42.188 (26.834) Epoch: [0][8940/10010] Time 2.115 (0.380) Data 1.990 (0.061) Loss 4.0747 (4.9215) Prec@1 24.219 (11.614) Prec@5 42.188 (26.854) Epoch: [0][8950/10010] Time 0.312 (0.380) Data 0.001 (0.061) Loss 4.0061 (4.9203) Prec@1 22.656 (11.625) Prec@5 42.969 (26.873) Epoch: [0][8960/10010] Time 0.322 (0.380) Data 0.000 (0.061) Loss 3.5253 (4.9192) Prec@1 25.000 (11.637) Prec@5 49.219 (26.893) Epoch: [0][8970/10010] Time 0.570 (0.381) Data 0.441 (0.062) Loss 3.5742 (4.9181) Prec@1 31.250 (11.648) Prec@5 53.125 (26.914) Epoch: [0][8980/10010] Time 0.952 (0.381) Data 0.816 (0.062) Loss 4.0032 (4.9169) Prec@1 20.312 (11.660) Prec@5 41.406 (26.935) Epoch: [0][8990/10010] Time 1.065 (0.382) Data 0.940 (0.063) Loss 4.1360 (4.9157) Prec@1 21.875 (11.672) Prec@5 40.625 (26.957) Epoch: [0][9000/10010] Time 3.745 (0.383) Data 3.598 (0.064) Loss 3.8375 (4.9145) Prec@1 20.312 (11.685) Prec@5 49.219 (26.979) Epoch: [0][9010/10010] Time 2.997 (0.383) Data 2.860 (0.064) Loss 3.5409 (4.9133) Prec@1 28.906 (11.697) Prec@5 50.000 (26.999) Epoch: [0][9020/10010] Time 0.320 (0.384) Data 0.000 (0.065) Loss 4.0880 (4.9121) Prec@1 20.312 (11.709) Prec@5 39.062 (27.018) Epoch: [0][9030/10010] Time 0.322 (0.384) Data 0.001 (0.065) Loss 3.8494 (4.9109) Prec@1 29.688 (11.721) Prec@5 46.875 (27.038) Epoch: [0][9040/10010] Time 0.314 (0.384) Data 0.001 (0.066) Loss 3.4268 (4.9097) Prec@1 32.031 (11.734) Prec@5 52.344 (27.058) Epoch: [0][9050/10010] Time 0.616 (0.385) Data 0.482 (0.066) Loss 4.0972 (4.9086) Prec@1 21.094 (11.748) Prec@5 42.188 (27.080) Epoch: [0][9060/10010] Time 0.316 (0.385) Data 0.005 (0.067) Loss 3.7976 (4.9073) Prec@1 14.844 (11.760) Prec@5 43.750 (27.102) Epoch: [0][9070/10010] Time 0.320 (0.386) Data 0.000 (0.067) Loss 3.7265 (4.9062) Prec@1 24.219 (11.773) Prec@5 47.656 (27.122) Epoch: [0][9080/10010] Time 0.317 (0.386) Data 0.000 (0.068) Loss 3.6318 (4.9049) Prec@1 25.781 (11.785) Prec@5 50.000 (27.144) Epoch: [0][9090/10010] Time 0.319 (0.386) Data 0.084 (0.068) Loss 4.1058 (4.9038) Prec@1 20.312 (11.796) Prec@5 41.406 (27.165) Epoch: [0][9100/10010] Time 0.311 (0.387) Data 0.000 (0.069) Loss 4.1120 (4.9026) Prec@1 21.875 (11.808) Prec@5 46.875 (27.186) Epoch: [0][9110/10010] Time 1.807 (0.388) Data 1.678 (0.070) Loss 3.8390 (4.9016) Prec@1 22.656 (11.820) Prec@5 46.094 (27.204) Epoch: [0][9120/10010] Time 0.311 (0.388) Data 0.000 (0.070) Loss 3.8631 (4.9003) Prec@1 21.094 (11.834) Prec@5 42.969 (27.227) Epoch: [0][9130/10010] Time 0.322 (0.389) Data 0.000 (0.071) Loss 3.8590 (4.8992) Prec@1 21.875 (11.844) Prec@5 41.406 (27.248) Epoch: [0][9140/10010] Time 0.744 (0.389) Data 0.610 (0.071) Loss 3.9186 (4.8980) Prec@1 27.344 (11.859) Prec@5 41.406 (27.269) Epoch: [0][9150/10010] Time 4.689 (0.390) Data 4.555 (0.072) Loss 4.0553 (4.8968) Prec@1 20.312 (11.871) Prec@5 42.969 (27.289) Epoch: [0][9160/10010] Time 0.313 (0.390) Data 0.023 (0.073) Loss 4.1150 (4.8956) Prec@1 24.219 (11.883) Prec@5 42.188 (27.310) Epoch: [0][9170/10010] Time 0.751 (0.391) Data 0.621 (0.073) Loss 3.6531 (4.8944) Prec@1 25.000 (11.896) Prec@5 45.312 (27.333) Epoch: [0][9180/10010] Time 0.312 (0.391) Data 0.001 (0.074) Loss 3.8661 (4.8932) Prec@1 23.438 (11.910) Prec@5 46.094 (27.352) Epoch: [0][9190/10010] Time 2.056 (0.392) Data 1.918 (0.075) Loss 3.8454 (4.8921) Prec@1 20.312 (11.920) Prec@5 45.312 (27.372) Epoch: [0][9200/10010] Time 0.315 (0.393) Data 0.001 (0.076) Loss 4.0199 (4.8910) Prec@1 21.094 (11.930) Prec@5 44.531 (27.392) Epoch: [0][9210/10010] Time 0.317 (0.394) Data 0.000 (0.076) Loss 3.7732 (4.8898) Prec@1 25.000 (11.943) Prec@5 44.531 (27.414) Epoch: [0][9220/10010] Time 0.331 (0.394) Data 0.197 (0.077) Loss 3.7845 (4.8887) Prec@1 22.656 (11.956) Prec@5 44.531 (27.432) Epoch: [0][9230/10010] Time 0.318 (0.395) Data 0.073 (0.078) Loss 4.1407 (4.8875) Prec@1 15.625 (11.966) Prec@5 41.406 (27.451) Epoch: [0][9240/10010] Time 0.318 (0.395) Data 0.000 (0.078) Loss 3.6108 (4.8863) Prec@1 29.688 (11.979) Prec@5 49.219 (27.474) Epoch: [0][9250/10010] Time 2.678 (0.396) Data 2.536 (0.079) Loss 4.3018 (4.8852) Prec@1 16.406 (11.989) Prec@5 39.062 (27.493) Epoch: [0][9260/10010] Time 1.125 (0.397) Data 0.986 (0.080) Loss 3.5887 (4.8840) Prec@1 25.781 (12.003) Prec@5 46.094 (27.514) Epoch: [0][9270/10010] Time 0.317 (0.397) Data 0.000 (0.081) Loss 4.0674 (4.8829) Prec@1 18.750 (12.015) Prec@5 44.531 (27.534) Epoch: [0][9280/10010] Time 1.037 (0.398) Data 0.907 (0.081) Loss 4.0263 (4.8817) Prec@1 25.000 (12.028) Prec@5 40.625 (27.554) Epoch: [0][9290/10010] Time 0.315 (0.399) Data 0.001 (0.082) Loss 3.8363 (4.8805) Prec@1 31.250 (12.041) Prec@5 48.438 (27.575) Epoch: [0][9300/10010] Time 9.011 (0.400) Data 8.860 (0.084) Loss 3.8734 (4.8794) Prec@1 26.562 (12.052) Prec@5 49.219 (27.593) Epoch: [0][9310/10010] Time 0.312 (0.400) Data 0.000 (0.084) Loss 3.8223 (4.8782) Prec@1 24.219 (12.065) Prec@5 42.969 (27.614) Epoch: [0][9320/10010] Time 1.476 (0.401) Data 1.338 (0.085) Loss 3.8023 (4.8772) Prec@1 24.219 (12.075) Prec@5 50.000 (27.633) Epoch: [0][9330/10010] Time 0.311 (0.402) Data 0.001 (0.086) Loss 4.0836 (4.8763) Prec@1 21.875 (12.085) Prec@5 44.531 (27.649) Epoch: [0][9340/10010] Time 0.317 (0.402) Data 0.001 (0.086) Loss 3.8202 (4.8751) Prec@1 24.219 (12.097) Prec@5 45.312 (27.668) Epoch: [0][9350/10010] Time 0.345 (0.403) Data 0.209 (0.087) Loss 3.8734 (4.8740) Prec@1 21.094 (12.107) Prec@5 42.969 (27.688) Epoch: [0][9360/10010] Time 2.909 (0.404) Data 2.779 (0.088) Loss 3.8669 (4.8731) Prec@1 26.562 (12.116) Prec@5 49.219 (27.705) Epoch: [0][9370/10010] Time 0.319 (0.405) Data 0.001 (0.089) Loss 3.6603 (4.8719) Prec@1 23.438 (12.128) Prec@5 49.219 (27.724) Epoch: [0][9380/10010] Time 0.315 (0.406) Data 0.001 (0.090) Loss 3.5465 (4.8708) Prec@1 22.656 (12.140) Prec@5 50.781 (27.745) Epoch: [0][9390/10010] Time 1.401 (0.407) Data 1.265 (0.091) Loss 3.5290 (4.8696) Prec@1 28.125 (12.153) Prec@5 53.125 (27.766) Epoch: [0][9400/10010] Time 3.968 (0.408) Data 3.840 (0.092) Loss 3.8374 (4.8685) Prec@1 21.875 (12.163) Prec@5 42.969 (27.784) Epoch: [0][9410/10010] Time 0.323 (0.408) Data 0.000 (0.093) Loss 4.0108 (4.8674) Prec@1 28.125 (12.176) Prec@5 38.281 (27.803) Epoch: [0][9420/10010] Time 0.426 (0.409) Data 0.292 (0.094) Loss 3.7085 (4.8663) Prec@1 21.875 (12.187) Prec@5 47.656 (27.824) Epoch: [0][9430/10010] Time 0.312 (0.410) Data 0.118 (0.095) Loss 3.5430 (4.8650) Prec@1 30.469 (12.201) Prec@5 53.125 (27.847) Epoch: [0][9440/10010] Time 7.621 (0.412) Data 7.480 (0.097) Loss 3.7477 (4.8638) Prec@1 21.875 (12.213) Prec@5 50.000 (27.869) Epoch: [0][9450/10010] Time 0.314 (0.412) Data 0.010 (0.097) Loss 3.5999 (4.8626) Prec@1 28.125 (12.225) Prec@5 52.344 (27.891) Epoch: [0][9460/10010] Time 0.957 (0.413) Data 0.829 (0.098) Loss 3.6744 (4.8614) Prec@1 21.875 (12.238) Prec@5 44.531 (27.912) Epoch: [0][9470/10010] Time 1.711 (0.414) Data 1.578 (0.100) Loss 4.1836 (4.8605) Prec@1 14.062 (12.246) Prec@5 42.969 (27.930) Epoch: [0][9480/10010] Time 4.871 (0.416) Data 4.739 (0.101) Loss 3.8569 (4.8594) Prec@1 18.750 (12.257) Prec@5 44.531 (27.951) Epoch: [0][9490/10010] Time 0.852 (0.417) Data 0.727 (0.102) Loss 3.6180 (4.8582) Prec@1 23.438 (12.269) Prec@5 50.000 (27.971) Epoch: [0][9500/10010] Time 0.541 (0.418) Data 0.295 (0.104) Loss 3.8916 (4.8571) Prec@1 24.219 (12.280) Prec@5 42.188 (27.990) Epoch: [0][9510/10010] Time 0.325 (0.420) Data 0.000 (0.105) Loss 3.8766 (4.8562) Prec@1 25.000 (12.291) Prec@5 47.656 (28.008) Epoch: [0][9520/10010] Time 3.148 (0.421) Data 3.010 (0.106) Loss 3.5219 (4.8551) Prec@1 28.906 (12.304) Prec@5 52.344 (28.029) Epoch: [0][9530/10010] Time 5.620 (0.422) Data 5.481 (0.108) Loss 3.9494 (4.8540) Prec@1 22.656 (12.316) Prec@5 45.312 (28.050) Epoch: [0][9540/10010] Time 4.664 (0.423) Data 4.534 (0.109) Loss 3.9945 (4.8528) Prec@1 22.656 (12.329) Prec@5 45.312 (28.073) Epoch: [0][9550/10010] Time 0.321 (0.425) Data 0.001 (0.111) Loss 4.1898 (4.8517) Prec@1 17.969 (12.340) Prec@5 44.531 (28.093) Epoch: [0][9560/10010] Time 0.318 (0.426) Data 0.001 (0.112) Loss 3.6532 (4.8506) Prec@1 23.438 (12.353) Prec@5 42.188 (28.112) Epoch: [0][9570/10010] Time 4.259 (0.427) Data 4.137 (0.113) Loss 3.6980 (4.8495) Prec@1 25.781 (12.364) Prec@5 47.656 (28.132) Epoch: [0][9580/10010] Time 3.846 (0.428) Data 3.706 (0.115) Loss 4.0360 (4.8484) Prec@1 20.312 (12.376) Prec@5 41.406 (28.152) Epoch: [0][9590/10010] Time 0.316 (0.429) Data 0.000 (0.116) Loss 3.6820 (4.8472) Prec@1 28.906 (12.388) Prec@5 46.094 (28.173) Epoch: [0][9600/10010] Time 0.315 (0.431) Data 0.000 (0.117) Loss 3.6622 (4.8461) Prec@1 23.438 (12.401) Prec@5 50.781 (28.193) Epoch: [0][9610/10010] Time 5.418 (0.432) Data 5.276 (0.119) Loss 4.1132 (4.8451) Prec@1 25.781 (12.412) Prec@5 40.625 (28.209) Epoch: [0][9620/10010] Time 0.311 (0.434) Data 0.001 (0.121) Loss 3.5839 (4.8440) Prec@1 28.125 (12.426) Prec@5 43.750 (28.229) Epoch: [0][9630/10010] Time 0.320 (0.435) Data 0.000 (0.122) Loss 3.6274 (4.8428) Prec@1 25.781 (12.440) Prec@5 46.875 (28.250) Epoch: [0][9640/10010] Time 1.894 (0.436) Data 1.754 (0.123) Loss 4.0240 (4.8417) Prec@1 21.875 (12.450) Prec@5 41.406 (28.268) Epoch: [0][9650/10010] Time 0.313 (0.438) Data 0.000 (0.125) Loss 3.7781 (4.8406) Prec@1 22.656 (12.463) Prec@5 50.000 (28.287) Epoch: [0][9660/10010] Time 1.026 (0.439) Data 0.886 (0.126) Loss 3.7007 (4.8396) Prec@1 21.094 (12.473) Prec@5 44.531 (28.305) Epoch: [0][9670/10010] Time 0.313 (0.440) Data 0.000 (0.128) Loss 3.9351 (4.8384) Prec@1 25.000 (12.485) Prec@5 45.312 (28.326) Epoch: [0][9680/10010] Time 0.676 (0.441) Data 0.542 (0.129) Loss 3.7293 (4.8373) Prec@1 21.094 (12.498) Prec@5 50.000 (28.346) Epoch: [0][9690/10010] Time 2.399 (0.443) Data 2.257 (0.131) Loss 3.9892 (4.8363) Prec@1 25.781 (12.507) Prec@5 41.406 (28.364) Epoch: [0][9700/10010] Time 0.314 (0.444) Data 0.000 (0.132) Loss 4.1651 (4.8352) Prec@1 18.750 (12.519) Prec@5 42.188 (28.383) Epoch: [0][9710/10010] Time 0.521 (0.446) Data 0.387 (0.134) Loss 3.6180 (4.8342) Prec@1 26.562 (12.532) Prec@5 54.688 (28.404) Epoch: [0][9720/10010] Time 4.609 (0.447) Data 4.483 (0.135) Loss 4.2574 (4.8331) Prec@1 18.750 (12.545) Prec@5 36.719 (28.424) Epoch: [0][9730/10010] Time 0.315 (0.449) Data 0.001 (0.137) Loss 3.7381 (4.8321) Prec@1 28.125 (12.556) Prec@5 50.000 (28.441) Epoch: [0][9740/10010] Time 1.610 (0.450) Data 1.470 (0.138) Loss 4.0533 (4.8310) Prec@1 25.781 (12.569) Prec@5 50.000 (28.461) Epoch: [0][9750/10010] Time 0.318 (0.451) Data 0.001 (0.140) Loss 3.7530 (4.8301) Prec@1 21.875 (12.578) Prec@5 50.781 (28.476) Epoch: [0][9760/10010] Time 6.291 (0.453) Data 6.153 (0.142) Loss 3.7086 (4.8290) Prec@1 27.344 (12.592) Prec@5 50.000 (28.497) Epoch: [0][9770/10010] Time 0.314 (0.455) Data 0.000 (0.143) Loss 3.8914 (4.8279) Prec@1 24.219 (12.605) Prec@5 44.531 (28.517) Epoch: [0][9780/10010] Time 0.312 (0.456) Data 0.001 (0.145) Loss 3.7045 (4.8267) Prec@1 26.562 (12.618) Prec@5 50.000 (28.538) Epoch: [0][9790/10010] Time 0.326 (0.458) Data 0.000 (0.147) Loss 4.1773 (4.8256) Prec@1 15.625 (12.630) Prec@5 42.188 (28.557) Epoch: [0][9800/10010] Time 0.312 (0.460) Data 0.005 (0.148) Loss 3.6174 (4.8245) Prec@1 22.656 (12.641) Prec@5 46.875 (28.579) Epoch: [0][9810/10010] Time 2.189 (0.461) Data 1.977 (0.150) Loss 3.3640 (4.8234) Prec@1 27.344 (12.653) Prec@5 57.031 (28.600) Epoch: [0][9820/10010] Time 3.579 (0.463) Data 3.447 (0.152) Loss 3.9947 (4.8223) Prec@1 22.656 (12.666) Prec@5 40.625 (28.618) Epoch: [0][9830/10010] Time 3.455 (0.465) Data 3.325 (0.154) Loss 3.7334 (4.8213) Prec@1 24.219 (12.677) Prec@5 47.656 (28.638) Epoch: [0][9840/10010] Time 6.879 (0.467) Data 6.748 (0.156) Loss 3.5020 (4.8201) Prec@1 25.781 (12.689) Prec@5 47.656 (28.656) Epoch: [0][9850/10010] Time 4.917 (0.469) Data 4.777 (0.158) Loss 4.0479 (4.8191) Prec@1 23.438 (12.702) Prec@5 41.406 (28.677) Epoch: [0][9860/10010] Time 0.315 (0.471) Data 0.000 (0.160) Loss 3.8971 (4.8181) Prec@1 23.438 (12.713) Prec@5 45.312 (28.694) Epoch: [0][9870/10010] Time 0.314 (0.472) Data 0.000 (0.162) Loss 3.3906 (4.8170) Prec@1 28.906 (12.725) Prec@5 51.562 (28.715) Epoch: [0][9880/10010] Time 6.769 (0.474) Data 6.638 (0.164) Loss 3.6744 (4.8159) Prec@1 28.906 (12.736) Prec@5 45.312 (28.735) Epoch: [0][9890/10010] Time 1.848 (0.476) Data 1.709 (0.166) Loss 3.8145 (4.8147) Prec@1 20.312 (12.748) Prec@5 39.062 (28.756) /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: [0][9900/10010] Time 1.654 (0.478) Data 1.523 (0.168) Loss 3.5811 (4.8137) Prec@1 25.000 (12.760) Prec@5 51.562 (28.776) Epoch: [0][9910/10010] Time 1.707 (0.480) Data 1.569 (0.170) Loss 3.6744 (4.8125) Prec@1 24.219 (12.774) Prec@5 53.125 (28.798) Epoch: [0][9920/10010] Time 6.918 (0.482) Data 6.769 (0.172) Loss 3.8085 (4.8115) Prec@1 22.656 (12.786) Prec@5 50.781 (28.816) Epoch: [0][9930/10010] Time 2.460 (0.484) Data 2.324 (0.174) Loss 3.8880 (4.8105) Prec@1 20.312 (12.797) Prec@5 45.312 (28.835) Epoch: [0][9940/10010] Time 0.310 (0.486) Data 0.001 (0.176) Loss 3.7565 (4.8095) Prec@1 16.406 (12.808) Prec@5 48.438 (28.853) Epoch: [0][9950/10010] Time 1.182 (0.488) Data 1.044 (0.178) Loss 3.5362 (4.8084) Prec@1 26.562 (12.820) Prec@5 50.781 (28.872) Epoch: [0][9960/10010] Time 0.462 (0.489) Data 0.330 (0.180) Loss 3.8838 (4.8073) Prec@1 21.875 (12.832) Prec@5 39.062 (28.890) Epoch: [0][9970/10010] Time 1.088 (0.492) Data 0.949 (0.182) Loss 3.7043 (4.8063) Prec@1 25.781 (12.842) Prec@5 49.219 (28.908) Epoch: [0][9980/10010] Time 4.995 (0.493) Data 4.855 (0.184) Loss 3.2948 (4.8052) Prec@1 30.469 (12.855) Prec@5 52.344 (28.927) Epoch: [0][9990/10010] Time 0.314 (0.495) Data 0.010 (0.186) Loss 3.7530 (4.8041) Prec@1 24.219 (12.867) Prec@5 46.094 (28.946) Epoch: [0][10000/10010] Time 1.230 (0.497) Data 1.093 (0.188) Loss 3.7232 (4.8031) Prec@1 24.219 (12.877) Prec@5 48.438 (28.965) Test: [0/391] Time 9.222 (9.222) Loss 2.3773 (2.3773) Prec@1 50.000 (50.000) Prec@5 73.438 (73.438) Test: [10/391] Time 0.739 (1.463) Loss 4.5152 (3.1812) Prec@1 21.094 (30.043) Prec@5 32.812 (58.736) Test: [20/391] Time 0.097 (1.183) Loss 5.2531 (3.8014) Prec@1 11.719 (23.475) Prec@5 27.344 (48.735) Test: [30/391] Time 1.015 (1.161) Loss 3.3839 (3.9993) Prec@1 26.562 (21.069) Prec@5 53.906 (45.464) Test: [40/391] Time 1.364 (1.096) Loss 4.2038 (3.7486) Prec@1 21.094 (25.514) Prec@5 35.156 (49.638) Test: [50/391] Time 0.102 (1.092) Loss 2.3829 (3.7528) Prec@1 46.094 (25.291) Prec@5 70.312 (49.311) Test: [60/391] Time 0.099 (1.072) Loss 3.4934 (3.6362) Prec@1 13.281 (26.844) Prec@5 46.875 (51.217) Test: [70/391] Time 0.552 (1.043) Loss 4.6662 (3.7691) Prec@1 14.062 (24.560) Prec@5 31.250 (48.449) Test: [80/391] Time 1.380 (1.032) Loss 4.2946 (3.7500) Prec@1 10.156 (23.505) Prec@5 35.938 (48.254) Test: [90/391] Time 2.618 (1.044) Loss 3.4110 (3.7684) Prec@1 15.625 (22.588) Prec@5 50.781 (47.493) Test: [100/391] Time 0.147 (1.032) Loss 2.8613 (3.7974) Prec@1 28.125 (21.774) Prec@5 62.500 (46.836) Test: [110/391] Time 1.017 (1.023) Loss 3.5453 (3.8015) Prec@1 21.094 (21.453) Prec@5 60.156 (46.819) Test: [120/391] Time 2.342 (1.020) Loss 2.6022 (3.7632) Prec@1 29.688 (21.869) Prec@5 71.875 (47.611) Test: [130/391] Time 0.106 (1.003) Loss 2.6123 (3.7142) Prec@1 42.188 (22.764) Prec@5 72.656 (48.515) Test: [140/391] Time 0.097 (1.000) Loss 4.7921 (3.7437) Prec@1 7.812 (22.418) Prec@5 24.219 (47.978) Test: [150/391] Time 1.307 (0.999) Loss 2.8310 (3.7556) Prec@1 38.281 (22.304) Prec@5 67.188 (47.801) Test: [160/391] Time 0.103 (0.996) Loss 3.2598 (3.7320) Prec@1 22.656 (22.666) Prec@5 56.250 (48.311) Test: [170/391] Time 1.044 (1.008) Loss 3.6665 (3.7656) Prec@1 19.531 (22.428) Prec@5 50.000 (47.707) Test: [180/391] Time 0.101 (1.003) Loss 5.9440 (3.8010) Prec@1 2.344 (22.039) Prec@5 14.062 (47.009) Test: [190/391] Time 0.098 (0.991) Loss 5.4587 (3.8088) Prec@1 7.031 (22.202) Prec@5 26.562 (46.990) Test: [200/391] Time 1.462 (0.991) Loss 4.9674 (3.8399) Prec@1 11.719 (21.945) Prec@5 27.344 (46.459) Test: [210/391] Time 1.911 (1.005) Loss 3.4830 (3.8448) Prec@1 19.531 (21.827) Prec@5 47.656 (46.375) Test: [220/391] Time 0.099 (1.001) Loss 2.8571 (3.8376) Prec@1 42.969 (22.066) Prec@5 60.156 (46.543) Test: [230/391] Time 0.099 (0.995) Loss 4.7280 (3.8567) Prec@1 10.156 (21.949) Prec@5 29.688 (46.222) Test: [240/391] Time 1.370 (0.993) Loss 4.8487 (3.8809) Prec@1 8.594 (21.820) Prec@5 25.781 (45.792) Test: [250/391] Time 0.105 (0.998) Loss 3.4149 (3.8986) Prec@1 28.906 (21.788) Prec@5 57.812 (45.521) Test: [260/391] Time 0.097 (0.995) Loss 5.0496 (3.9109) Prec@1 13.281 (21.495) Prec@5 30.469 (45.244) Test: [270/391] Time 6.984 (1.011) Loss 4.2936 (3.9253) Prec@1 14.062 (21.460) Prec@5 39.844 (45.047) Test: [280/391] Time 1.960 (1.000) Loss 2.8676 (3.9376) Prec@1 35.938 (21.336) Prec@5 62.500 (44.793) Test: [290/391] Time 0.101 (0.996) Loss 3.9498 (3.9497) Prec@1 10.156 (21.249) Prec@5 39.844 (44.601) Test: [300/391] Time 2.990 (0.995) Loss 4.6490 (3.9589) Prec@1 15.625 (21.192) Prec@5 37.500 (44.427) Test: [310/391] Time 0.752 (0.998) Loss 4.6497 (3.9648) Prec@1 11.719 (21.212) Prec@5 27.344 (44.313) Test: [320/391] Time 0.098 (0.995) Loss 1.9610 (3.9601) Prec@1 53.906 (21.327) Prec@5 78.906 (44.417) Test: [330/391] Time 0.132 (0.990) Loss 4.8786 (3.9837) Prec@1 5.469 (20.978) Prec@5 21.094 (43.941) Test: [340/391] Time 1.510 (1.001) Loss 4.4932 (3.9854) Prec@1 4.688 (20.828) Prec@5 36.719 (43.849) Test: [350/391] Time 0.097 (0.992) Loss 3.3173 (3.9830) Prec@1 38.281 (20.929) Prec@5 58.594 (43.915) Test: [360/391] Time 0.099 (0.989) Loss 2.6901 (3.9766) Prec@1 38.281 (21.031) Prec@5 64.062 (44.005) Test: [370/391] Time 0.775 (0.989) Loss 1.7634 (3.9578) Prec@1 55.469 (21.252) Prec@5 84.375 (44.426) Test: [380/391] Time 3.188 (0.998) Loss 2.2054 (3.9491) Prec@1 50.781 (21.362) Prec@5 77.344 (44.646) Test: [390/391] Time 0.529 (0.990) Loss 5.0756 (3.9291) Prec@1 11.250 (21.652) Prec@5 23.750 (44.996) * Prec@1 21.652 Prec@5 44.996 Epoch: [1][0/10010] Time 2.864 (2.864) Data 2.668 (2.668) Loss 3.7762 (3.7762) Prec@1 19.531 (19.531) Prec@5 47.656 (47.656) Epoch: [1][10/10010] Time 0.316 (0.548) Data 0.000 (0.247) Loss 4.3461 (3.9017) Prec@1 17.969 (22.230) Prec@5 35.938 (44.460) Epoch: [1][20/10010] Time 0.322 (0.438) Data 0.000 (0.130) Loss 3.5511 (3.8224) Prec@1 34.375 (23.028) Prec@5 54.688 (46.949) Epoch: [1][30/10010] Time 0.314 (0.399) Data 0.000 (0.088) Loss 4.0229 (3.8054) Prec@1 20.312 (23.362) Prec@5 41.406 (47.203) Epoch: [1][40/10010] Time 0.316 (0.380) Data 0.001 (0.067) Loss 3.7340 (3.7885) Prec@1 29.688 (24.181) Prec@5 49.219 (47.732) Epoch: [1][50/10010] Time 0.322 (0.368) Data 0.001 (0.054) Loss 4.0698 (3.8008) Prec@1 20.312 (23.775) Prec@5 42.969 (47.350) Epoch: [1][60/10010] Time 0.328 (0.360) Data 0.000 (0.045) Loss 3.7896 (3.7884) Prec@1 26.562 (24.308) Prec@5 50.000 (47.797) Epoch: [1][70/10010] Time 0.316 (0.354) Data 0.001 (0.039) Loss 3.9544 (3.7877) Prec@1 25.781 (24.395) Prec@5 44.531 (47.777) Epoch: [1][80/10010] Time 0.322 (0.350) Data 0.000 (0.034) Loss 3.5441 (3.7703) Prec@1 25.000 (24.547) Prec@5 50.000 (48.023) Epoch: [1][90/10010] Time 0.311 (0.347) Data 0.001 (0.030) Loss 3.8822 (3.7740) Prec@1 21.875 (24.408) Prec@5 48.438 (47.914) Epoch: [1][100/10010] Time 0.318 (0.344) Data 0.000 (0.027) Loss 3.5032 (3.7695) Prec@1 27.344 (24.459) Prec@5 52.344 (48.105) Epoch: [1][110/10010] Time 0.321 (0.342) Data 0.000 (0.025) Loss 3.6540 (3.7625) Prec@1 17.969 (24.472) Prec@5 50.781 (48.297) Epoch: [1][120/10010] Time 0.319 (0.340) Data 0.001 (0.023) Loss 3.7142 (3.7587) Prec@1 20.312 (24.554) Prec@5 45.312 (48.347) Epoch: [1][130/10010] Time 0.323 (0.339) Data 0.001 (0.021) Loss 3.7983 (3.7586) Prec@1 21.875 (24.457) Prec@5 41.406 (48.139) Epoch: [1][140/10010] Time 0.326 (0.337) Data 0.001 (0.020) Loss 3.5373 (3.7531) Prec@1 24.219 (24.485) Prec@5 46.875 (48.172) Epoch: [1][150/10010] Time 0.316 (0.336) Data 0.000 (0.018) Loss 3.7310 (3.7504) Prec@1 24.219 (24.467) Prec@5 46.875 (48.179) Epoch: [1][160/10010] Time 0.324 (0.335) Data 0.000 (0.017) Loss 3.5604 (3.7485) Prec@1 22.656 (24.437) Prec@5 51.562 (48.185) Epoch: [1][170/10010] Time 0.326 (0.335) Data 0.000 (0.016) Loss 3.8077 (3.7430) Prec@1 22.656 (24.370) Prec@5 45.312 (48.204) Epoch: [1][180/10010] Time 0.321 (0.334) Data 0.000 (0.016) Loss 3.6462 (3.7444) Prec@1 27.344 (24.426) Prec@5 53.906 (48.179) Epoch: [1][190/10010] Time 0.347 (0.333) Data 0.000 (0.015) Loss 3.5769 (3.7394) Prec@1 21.875 (24.472) Prec@5 53.125 (48.315) Epoch: [1][200/10010] Time 0.322 (0.333) Data 0.001 (0.014) Loss 3.7105 (3.7406) Prec@1 20.312 (24.541) Prec@5 46.875 (48.329) Epoch: [1][210/10010] Time 0.340 (0.333) Data 0.001 (0.013) Loss 3.6995 (3.7407) Prec@1 24.219 (24.645) Prec@5 50.781 (48.349) Epoch: [1][220/10010] Time 0.328 (0.333) Data 0.000 (0.013) Loss 3.6720 (3.7366) Prec@1 28.125 (24.618) Prec@5 51.562 (48.335) Epoch: [1][230/10010] Time 0.325 (0.332) Data 0.001 (0.012) Loss 3.6355 (3.7392) Prec@1 22.656 (24.574) Prec@5 53.906 (48.258) Epoch: [1][240/10010] Time 0.319 (0.332) Data 0.000 (0.012) Loss 3.6542 (3.7369) Prec@1 25.000 (24.553) Prec@5 50.000 (48.259) Epoch: [1][250/10010] Time 0.337 (0.332) Data 0.000 (0.011) Loss 3.8708 (3.7399) Prec@1 18.750 (24.530) Prec@5 46.094 (48.220) Epoch: [1][260/10010] Time 0.322 (0.332) Data 0.001 (0.011) Loss 3.4396 (3.7369) Prec@1 29.688 (24.545) Prec@5 56.250 (48.237) Epoch: [1][270/10010] Time 0.322 (0.332) Data 0.001 (0.011) Loss 3.5902 (3.7358) Prec@1 27.344 (24.562) Prec@5 51.562 (48.241) Epoch: [1][280/10010] Time 0.319 (0.332) Data 0.001 (0.010) Loss 3.7968 (3.7314) Prec@1 19.531 (24.630) Prec@5 46.094 (48.340) Epoch: [1][290/10010] Time 0.335 (0.332) Data 0.001 (0.010) Loss 3.6518 (3.7320) Prec@1 25.781 (24.592) Prec@5 53.906 (48.327) Epoch: [1][300/10010] Time 0.325 (0.332) Data 0.001 (0.010) Loss 3.5795 (3.7297) Prec@1 27.344 (24.569) Prec@5 52.344 (48.318) Epoch: [1][310/10010] Time 0.342 (0.332) Data 0.000 (0.009) Loss 3.5609 (3.7267) Prec@1 28.125 (24.616) Prec@5 47.656 (48.350) Epoch: [1][320/10010] Time 0.342 (0.332) Data 0.000 (0.009) Loss 4.1231 (3.7277) Prec@1 22.656 (24.632) Prec@5 43.750 (48.352) Epoch: [1][330/10010] Time 0.324 (0.332) Data 0.000 (0.009) Loss 4.0437 (3.7254) Prec@1 24.219 (24.714) Prec@5 42.969 (48.412) Epoch: [1][340/10010] Time 0.330 (0.332) Data 0.001 (0.009) Loss 3.6178 (3.7244) Prec@1 28.906 (24.730) Prec@5 52.344 (48.447) Epoch: [1][350/10010] Time 0.328 (0.332) Data 0.000 (0.008) Loss 3.8580 (3.7227) Prec@1 19.531 (24.706) Prec@5 46.094 (48.458) Epoch: [1][360/10010] Time 0.325 (0.332) Data 0.000 (0.008) Loss 3.7286 (3.7214) Prec@1 21.094 (24.691) Prec@5 42.969 (48.502) Epoch: [1][370/10010] Time 0.320 (0.331) Data 0.001 (0.008) Loss 3.9089 (3.7204) Prec@1 20.312 (24.716) Prec@5 47.656 (48.520) Epoch: [1][380/10010] Time 0.336 (0.331) Data 0.001 (0.008) Loss 3.5234 (3.7180) Prec@1 23.438 (24.729) Prec@5 52.344 (48.561) Epoch: [1][390/10010] Time 0.330 (0.331) Data 0.001 (0.007) Loss 3.4553 (3.7152) Prec@1 29.688 (24.766) Prec@5 56.250 (48.641) Epoch: [1][400/10010] Time 0.320 (0.331) Data 0.000 (0.007) Loss 3.4033 (3.7112) Prec@1 26.562 (24.805) Prec@5 55.469 (48.704) Epoch: [1][410/10010] Time 0.330 (0.331) Data 0.000 (0.007) Loss 4.0080 (3.7140) Prec@1 27.344 (24.850) Prec@5 50.781 (48.662) Epoch: [1][420/10010] Time 0.327 (0.331) Data 0.001 (0.007) Loss 3.7600 (3.7134) Prec@1 18.750 (24.826) Prec@5 50.000 (48.681) Epoch: [1][430/10010] Time 0.326 (0.331) Data 0.001 (0.007) Loss 3.6447 (3.7144) Prec@1 26.562 (24.817) Prec@5 46.875 (48.657) Epoch: [1][440/10010] Time 0.340 (0.331) Data 0.001 (0.007) Loss 3.4709 (3.7122) Prec@1 26.562 (24.853) Prec@5 54.688 (48.709) Epoch: [1][450/10010] Time 0.341 (0.331) Data 0.000 (0.007) Loss 3.1256 (3.7087) Prec@1 31.250 (24.867) Prec@5 57.812 (48.760) Epoch: [1][460/10010] Time 0.315 (0.332) Data 0.000 (0.006) Loss 3.6402 (3.7064) Prec@1 25.000 (24.903) Prec@5 46.094 (48.753) Epoch: [1][470/10010] Time 0.324 (0.331) Data 0.001 (0.006) Loss 3.6341 (3.7065) Prec@1 30.469 (24.910) Prec@5 57.031 (48.769) Epoch: [1][480/10010] Time 0.325 (0.331) Data 0.000 (0.006) Loss 3.7965 (3.7062) Prec@1 22.656 (24.963) Prec@5 42.969 (48.762) Epoch: [1][490/10010] Time 0.327 (0.331) Data 0.000 (0.006) Loss 3.8191 (3.7057) Prec@1 25.781 (25.002) Prec@5 47.656 (48.788) Epoch: [1][500/10010] Time 0.332 (0.331) Data 0.001 (0.006) Loss 3.4015 (3.7042) Prec@1 28.906 (25.023) Prec@5 53.906 (48.823) Epoch: [1][510/10010] Time 0.339 (0.331) Data 0.000 (0.006) Loss 3.6933 (3.7042) Prec@1 19.531 (25.034) Prec@5 42.969 (48.829) Epoch: [1][520/10010] Time 0.337 (0.331) Data 0.000 (0.006) Loss 3.9871 (3.7058) Prec@1 15.625 (24.993) Prec@5 39.062 (48.790) Epoch: [1][530/10010] Time 0.336 (0.331) Data 0.000 (0.006) Loss 3.1785 (3.7040) Prec@1 32.812 (25.010) Prec@5 64.844 (48.819) Epoch: [1][540/10010] Time 0.346 (0.331) Data 0.001 (0.006) Loss 3.5715 (3.7026) Prec@1 25.781 (25.010) Prec@5 53.125 (48.868) Epoch: [1][550/10010] Time 0.346 (0.331) Data 0.001 (0.005) Loss 3.9290 (3.7021) Prec@1 18.750 (24.997) Prec@5 44.531 (48.850) Epoch: [1][560/10010] Time 0.333 (0.331) Data 0.000 (0.005) Loss 3.7947 (3.7006) Prec@1 22.656 (24.979) Prec@5 47.656 (48.890) /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: [1][570/10010] Time 0.339 (0.331) Data 0.001 (0.005) Loss 3.9099 (3.7008) Prec@1 26.562 (24.974) Prec@5 48.438 (48.907) Epoch: [1][580/10010] Time 0.334 (0.331) Data 0.000 (0.005) Loss 3.8522 (3.6992) Prec@1 22.656 (24.996) Prec@5 48.438 (48.936) Epoch: [1][590/10010] Time 0.340 (0.331) Data 0.000 (0.005) Loss 3.4888 (3.7000) Prec@1 25.781 (24.979) Prec@5 49.219 (48.931) Epoch: [1][600/10010] Time 0.345 (0.332) Data 0.001 (0.005) Loss 4.1302 (3.6986) Prec@1 23.438 (25.010) Prec@5 41.406 (48.960) Epoch: [1][610/10010] Time 0.328 (0.332) Data 0.000 (0.005) Loss 3.4960 (3.6967) Prec@1 30.469 (25.060) Prec@5 53.906 (48.991) Epoch: [1][620/10010] Time 0.342 (0.332) Data 0.000 (0.005) Loss 3.8241 (3.6971) Prec@1 22.656 (25.047) Prec@5 42.188 (48.986) Epoch: [1][630/10010] Time 0.328 (0.332) Data 0.000 (0.005) Loss 3.8203 (3.6962) Prec@1 19.531 (25.030) Prec@5 44.531 (48.974) Epoch: [1][640/10010] Time 0.334 (0.332) Data 0.001 (0.005) Loss 3.6754 (3.6961) Prec@1 24.219 (25.007) Prec@5 50.781 (48.957) Epoch: [1][650/10010] Time 0.325 (0.332) Data 0.001 (0.005) Loss 3.4438 (3.6956) Prec@1 30.469 (25.022) Prec@5 56.250 (48.973) Epoch: [1][660/10010] Time 0.331 (0.332) Data 0.000 (0.005) Loss 3.7018 (3.6947) Prec@1 23.438 (25.041) Prec@5 51.562 (48.999) Epoch: [1][670/10010] Time 0.347 (0.332) Data 0.001 (0.005) Loss 2.9998 (3.6945) Prec@1 32.031 (25.045) Prec@5 60.156 (49.006) Epoch: [1][680/10010] Time 0.313 (0.332) Data 0.001 (0.005) Loss 3.7047 (3.6956) Prec@1 25.781 (25.041) Prec@5 47.656 (48.985) Epoch: [1][690/10010] Time 0.339 (0.332) Data 0.000 (0.004) Loss 3.8981 (3.6952) Prec@1 24.219 (25.063) Prec@5 47.656 (48.997) Epoch: [1][700/10010] Time 0.340 (0.332) Data 0.000 (0.004) Loss 3.8029 (3.6967) Prec@1 20.312 (25.042) Prec@5 42.188 (48.966) Epoch: [1][710/10010] Time 0.341 (0.332) Data 0.001 (0.004) Loss 3.4762 (3.6966) Prec@1 36.719 (25.065) Prec@5 57.031 (48.958) Epoch: [1][720/10010] Time 0.322 (0.332) Data 0.001 (0.004) Loss 3.4364 (3.6962) Prec@1 29.688 (25.083) Prec@5 51.562 (48.961) Epoch: [1][730/10010] Time 0.326 (0.332) Data 0.001 (0.004) Loss 3.7221 (3.6948) Prec@1 20.312 (25.108) Prec@5 51.562 (48.991) Epoch: [1][740/10010] Time 0.348 (0.332) Data 0.000 (0.004) Loss 3.7432 (3.6936) Prec@1 26.562 (25.127) Prec@5 51.562 (49.014) Epoch: [1][750/10010] Time 0.326 (0.332) Data 0.000 (0.004) Loss 3.5777 (3.6948) Prec@1 23.438 (25.103) Prec@5 47.656 (49.009) Epoch: [1][760/10010] Time 0.344 (0.332) Data 0.000 (0.004) Loss 3.5911 (3.6958) Prec@1 22.656 (25.090) Prec@5 47.656 (49.001) Epoch: [1][770/10010] Time 0.330 (0.332) Data 0.000 (0.004) Loss 3.2834 (3.6947) Prec@1 25.781 (25.092) Prec@5 57.031 (49.049) Epoch: [1][780/10010] Time 0.337 (0.332) Data 0.000 (0.004) Loss 3.5922 (3.6950) Prec@1 26.562 (25.101) Prec@5 52.344 (49.046) Epoch: [1][790/10010] Time 0.327 (0.332) Data 0.000 (0.004) Loss 3.9459 (3.6956) Prec@1 21.094 (25.101) Prec@5 43.750 (49.031) Epoch: [1][800/10010] Time 0.340 (0.332) Data 0.000 (0.004) Loss 3.8650 (3.6969) Prec@1 24.219 (25.084) Prec@5 42.188 (49.011) Epoch: [1][810/10010] Time 0.333 (0.332) Data 0.000 (0.004) Loss 3.6436 (3.6955) Prec@1 23.438 (25.105) Prec@5 46.875 (49.021) Epoch: [1][820/10010] Time 0.338 (0.332) Data 0.001 (0.004) Loss 3.7189 (3.6949) Prec@1 27.344 (25.103) Prec@5 49.219 (49.043) Epoch: [1][830/10010] Time 0.346 (0.332) Data 0.001 (0.004) Loss 3.5089 (3.6938) Prec@1 24.219 (25.106) Prec@5 51.562 (49.063) Epoch: [1][840/10010] Time 0.338 (0.332) Data 0.001 (0.004) Loss 3.7557 (3.6922) Prec@1 25.000 (25.120) Prec@5 49.219 (49.082) Epoch: [1][850/10010] Time 0.326 (0.332) Data 0.000 (0.004) Loss 3.5485 (3.6915) Prec@1 32.812 (25.146) Prec@5 50.781 (49.094) Epoch: [1][860/10010] Time 0.340 (0.332) Data 0.001 (0.004) Loss 3.8104 (3.6901) Prec@1 23.438 (25.177) Prec@5 45.312 (49.112) Epoch: [1][870/10010] Time 0.335 (0.332) Data 0.000 (0.004) Loss 3.3963 (3.6891) Prec@1 25.000 (25.197) Prec@5 58.594 (49.133) Epoch: [1][880/10010] Time 0.325 (0.332) Data 0.000 (0.004) Loss 3.3285 (3.6881) Prec@1 26.562 (25.211) Prec@5 58.594 (49.151) Epoch: [1][890/10010] Time 0.316 (0.332) Data 0.000 (0.004) Loss 4.0363 (3.6882) Prec@1 15.625 (25.213) Prec@5 40.625 (49.154) Epoch: [1][900/10010] Time 0.342 (0.332) Data 0.001 (0.004) Loss 3.8427 (3.6891) Prec@1 26.562 (25.213) Prec@5 44.531 (49.119) Epoch: [1][910/10010] Time 0.330 (0.332) Data 0.000 (0.004) Loss 3.6349 (3.6883) Prec@1 25.000 (25.232) Prec@5 49.219 (49.134) Epoch: [1][920/10010] Time 0.349 (0.332) Data 0.000 (0.003) Loss 3.1397 (3.6881) Prec@1 29.688 (25.243) Prec@5 57.031 (49.131) Epoch: [1][930/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 3.5871 (3.6874) Prec@1 25.781 (25.258) Prec@5 52.344 (49.152) Epoch: [1][940/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 3.4498 (3.6873) Prec@1 28.906 (25.261) Prec@5 55.469 (49.169) Epoch: [1][950/10010] Time 0.341 (0.332) Data 0.001 (0.003) Loss 3.7933 (3.6851) Prec@1 23.438 (25.283) Prec@5 49.219 (49.197) Epoch: [1][960/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 3.6145 (3.6856) Prec@1 24.219 (25.281) Prec@5 49.219 (49.194) Epoch: [1][970/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 3.5589 (3.6843) Prec@1 27.344 (25.318) Prec@5 51.562 (49.225) Epoch: [1][980/10010] Time 0.344 (0.332) Data 0.000 (0.003) Loss 3.6874 (3.6843) Prec@1 26.562 (25.316) Prec@5 45.312 (49.215) Epoch: [1][990/10010] Time 0.350 (0.332) Data 0.000 (0.003) Loss 3.7430 (3.6832) Prec@1 23.438 (25.328) Prec@5 45.312 (49.230) Epoch: [1][1000/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 3.7183 (3.6819) Prec@1 21.875 (25.340) Prec@5 45.312 (49.262) Epoch: [1][1010/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 3.3270 (3.6812) Prec@1 27.344 (25.352) Prec@5 59.375 (49.288) Epoch: [1][1020/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 3.8507 (3.6809) Prec@1 25.000 (25.367) Prec@5 46.875 (49.296) Epoch: [1][1030/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 3.2908 (3.6808) Prec@1 28.906 (25.374) Prec@5 53.906 (49.299) Epoch: [1][1040/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 4.0631 (3.6803) Prec@1 21.094 (25.389) Prec@5 42.188 (49.304) Epoch: [1][1050/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 3.6460 (3.6788) Prec@1 29.688 (25.421) Prec@5 50.781 (49.332) Epoch: [1][1060/10010] Time 0.343 (0.332) Data 0.001 (0.003) Loss 3.9716 (3.6784) Prec@1 19.531 (25.420) Prec@5 47.656 (49.338) Epoch: [1][1070/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 3.5311 (3.6777) Prec@1 28.125 (25.417) Prec@5 48.438 (49.348) Epoch: [1][1080/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 3.6140 (3.6778) Prec@1 25.781 (25.408) Prec@5 48.438 (49.328) Epoch: [1][1090/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 3.6048 (3.6776) Prec@1 27.344 (25.408) Prec@5 50.000 (49.325) Epoch: [1][1100/10010] Time 0.318 (0.332) Data 0.001 (0.003) Loss 3.6735 (3.6781) Prec@1 24.219 (25.407) Prec@5 50.781 (49.311) Epoch: [1][1110/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 3.6482 (3.6781) Prec@1 23.438 (25.400) Prec@5 46.875 (49.312) Epoch: [1][1120/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 3.7360 (3.6773) Prec@1 17.188 (25.392) Prec@5 48.438 (49.316) Epoch: [1][1130/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 3.4995 (3.6773) Prec@1 27.344 (25.387) Prec@5 53.906 (49.313) Epoch: [1][1140/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 3.5177 (3.6763) Prec@1 29.688 (25.412) Prec@5 49.219 (49.332) Epoch: [1][1150/10010] Time 0.344 (0.332) Data 0.001 (0.003) Loss 3.7174 (3.6763) Prec@1 30.469 (25.416) Prec@5 46.094 (49.321) Epoch: [1][1160/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 3.5678 (3.6757) Prec@1 27.344 (25.429) Prec@5 51.562 (49.338) Epoch: [1][1170/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 3.5363 (3.6746) Prec@1 24.219 (25.444) Prec@5 50.781 (49.360) Epoch: [1][1180/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 3.7687 (3.6759) Prec@1 26.562 (25.427) Prec@5 50.781 (49.341) Epoch: [1][1190/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 3.4497 (3.6760) Prec@1 26.562 (25.417) Prec@5 60.156 (49.337) Epoch: [1][1200/10010] Time 0.318 (0.332) Data 0.000 (0.003) Loss 3.9133 (3.6755) Prec@1 23.438 (25.431) Prec@5 46.875 (49.350) Epoch: [1][1210/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 3.5166 (3.6752) Prec@1 28.906 (25.434) Prec@5 50.000 (49.365) Epoch: [1][1220/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 3.8644 (3.6753) Prec@1 25.000 (25.449) Prec@5 48.438 (49.371) Epoch: [1][1230/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 3.6738 (3.6752) Prec@1 25.000 (25.464) Prec@5 47.656 (49.376) Epoch: [1][1240/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 3.4925 (3.6740) Prec@1 28.906 (25.482) Prec@5 58.594 (49.398) Epoch: [1][1250/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 3.7470 (3.6738) Prec@1 25.000 (25.498) Prec@5 50.000 (49.403) Epoch: [1][1260/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 3.2168 (3.6725) Prec@1 31.250 (25.508) Prec@5 60.156 (49.429) Epoch: [1][1270/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.8510 (3.6711) Prec@1 39.062 (25.525) Prec@5 63.281 (49.458) Epoch: [1][1280/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 3.3742 (3.6707) Prec@1 34.375 (25.540) Prec@5 50.000 (49.460) Epoch: [1][1290/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 3.8138 (3.6709) Prec@1 20.312 (25.533) Prec@5 50.781 (49.463) Epoch: [1][1300/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 3.4692 (3.6703) Prec@1 28.125 (25.542) Prec@5 56.250 (49.475) Epoch: [1][1310/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 3.9841 (3.6703) Prec@1 20.312 (25.532) Prec@5 43.750 (49.487) Epoch: [1][1320/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 3.8156 (3.6708) Prec@1 23.438 (25.523) Prec@5 46.875 (49.488) Epoch: [1][1330/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 3.6854 (3.6702) Prec@1 28.125 (25.539) Prec@5 53.906 (49.514) Epoch: [1][1340/10010] Time 0.343 (0.332) Data 0.001 (0.003) Loss 3.6018 (3.6698) Prec@1 23.438 (25.536) Prec@5 49.219 (49.526) Epoch: [1][1350/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 3.7158 (3.6693) Prec@1 21.875 (25.543) Prec@5 49.219 (49.529) Epoch: [1][1360/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 3.2838 (3.6684) Prec@1 30.469 (25.556) Prec@5 58.594 (49.542) Epoch: [1][1370/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 3.5083 (3.6679) Prec@1 32.031 (25.570) Prec@5 53.906 (49.551) Epoch: [1][1380/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 3.3856 (3.6677) Prec@1 28.125 (25.573) Prec@5 55.469 (49.558) Epoch: [1][1390/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.5922 (3.6667) Prec@1 23.438 (25.587) Prec@5 48.438 (49.566) Epoch: [1][1400/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 4.0052 (3.6665) Prec@1 25.000 (25.593) Prec@5 41.406 (49.575) Epoch: [1][1410/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 3.4074 (3.6658) Prec@1 28.125 (25.610) Prec@5 50.781 (49.595) Epoch: [1][1420/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.7788 (3.6653) Prec@1 25.781 (25.622) Prec@5 46.875 (49.602) Epoch: [1][1430/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 3.6737 (3.6659) Prec@1 27.344 (25.613) Prec@5 49.219 (49.588) Epoch: [1][1440/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.4969 (3.6653) Prec@1 28.906 (25.617) Prec@5 52.344 (49.593) Epoch: [1][1450/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 3.6244 (3.6647) Prec@1 21.875 (25.613) Prec@5 48.438 (49.594) Epoch: [1][1460/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 3.6828 (3.6642) Prec@1 27.344 (25.619) Prec@5 47.656 (49.604) Epoch: [1][1470/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.6512 (3.6637) Prec@1 27.344 (25.629) Prec@5 51.562 (49.605) Epoch: [1][1480/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 3.7720 (3.6636) Prec@1 26.562 (25.643) Prec@5 48.438 (49.612) Epoch: [1][1490/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.5761 (3.6628) Prec@1 30.469 (25.659) Prec@5 52.344 (49.623) Epoch: [1][1500/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.7223 (3.6625) Prec@1 25.781 (25.660) Prec@5 48.438 (49.631) Epoch: [1][1510/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.4718 (3.6625) Prec@1 28.125 (25.668) Prec@5 51.562 (49.629) Epoch: [1][1520/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 3.8504 (3.6623) Prec@1 27.344 (25.681) Prec@5 50.000 (49.638) Epoch: [1][1530/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 4.0489 (3.6624) Prec@1 22.656 (25.685) Prec@5 44.531 (49.638) Epoch: [1][1540/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 3.2583 (3.6616) Prec@1 35.156 (25.704) Prec@5 57.031 (49.653) Epoch: [1][1550/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 3.8196 (3.6619) Prec@1 24.219 (25.702) Prec@5 50.781 (49.646) Epoch: [1][1560/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 3.6719 (3.6617) Prec@1 18.750 (25.686) Prec@5 47.656 (49.655) Epoch: [1][1570/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.5738 (3.6611) Prec@1 25.781 (25.701) Prec@5 50.781 (49.663) Epoch: [1][1580/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 3.6640 (3.6607) Prec@1 25.000 (25.707) Prec@5 50.781 (49.666) Epoch: [1][1590/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 3.3441 (3.6607) Prec@1 35.156 (25.715) Prec@5 60.938 (49.673) Epoch: [1][1600/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.4402 (3.6601) Prec@1 31.250 (25.722) Prec@5 50.781 (49.679) Epoch: [1][1610/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.5752 (3.6594) Prec@1 22.656 (25.729) Prec@5 54.688 (49.698) Epoch: [1][1620/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 3.3099 (3.6587) Prec@1 32.031 (25.739) Prec@5 56.250 (49.708) Epoch: [1][1630/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 3.5419 (3.6578) Prec@1 26.562 (25.749) Prec@5 54.688 (49.725) Epoch: [1][1640/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 3.4290 (3.6571) Prec@1 26.562 (25.752) Prec@5 52.344 (49.733) Epoch: [1][1650/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 3.4682 (3.6565) Prec@1 28.125 (25.766) Prec@5 60.156 (49.750) Epoch: [1][1660/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 3.7487 (3.6560) Prec@1 23.438 (25.772) Prec@5 48.438 (49.755) Epoch: [1][1670/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.7178 (3.6557) Prec@1 20.312 (25.778) Prec@5 47.656 (49.758) Epoch: [1][1680/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 3.6272 (3.6556) Prec@1 26.562 (25.781) Prec@5 53.906 (49.763) Epoch: [1][1690/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 3.7472 (3.6554) Prec@1 31.250 (25.795) Prec@5 49.219 (49.768) Epoch: [1][1700/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 3.7292 (3.6554) Prec@1 26.562 (25.797) Prec@5 46.875 (49.765) Epoch: [1][1710/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.5440 (3.6545) Prec@1 26.562 (25.809) Prec@5 52.344 (49.780) Epoch: [1][1720/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.6352 (3.6536) Prec@1 28.125 (25.813) Prec@5 50.000 (49.800) Epoch: [1][1730/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 3.4070 (3.6537) Prec@1 29.688 (25.816) Prec@5 55.469 (49.796) Epoch: [1][1740/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 3.4750 (3.6534) Prec@1 25.000 (25.821) Prec@5 55.469 (49.813) Epoch: [1][1750/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.4728 (3.6527) Prec@1 25.781 (25.831) Prec@5 56.250 (49.827) Epoch: [1][1760/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.5597 (3.6528) Prec@1 25.781 (25.827) Prec@5 51.562 (49.824) Epoch: [1][1770/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.7424 (3.6528) Prec@1 24.219 (25.824) Prec@5 47.656 (49.825) Epoch: [1][1780/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.9350 (3.6532) Prec@1 21.875 (25.819) Prec@5 42.188 (49.814) Epoch: [1][1790/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 3.5673 (3.6527) Prec@1 25.000 (25.825) Prec@5 46.094 (49.822) Epoch: [1][1800/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 3.3101 (3.6518) Prec@1 33.594 (25.845) Prec@5 53.906 (49.833) Epoch: [1][1810/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 3.3433 (3.6515) Prec@1 32.812 (25.852) Prec@5 53.125 (49.834) Epoch: [1][1820/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 3.3470 (3.6514) Prec@1 30.469 (25.854) Prec@5 53.125 (49.836) Epoch: [1][1830/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 3.9176 (3.6510) Prec@1 21.094 (25.858) Prec@5 50.000 (49.839) Epoch: [1][1840/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 3.5350 (3.6513) Prec@1 29.688 (25.849) Prec@5 50.000 (49.828) Epoch: [1][1850/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.5254 (3.6511) Prec@1 30.469 (25.854) Prec@5 53.906 (49.824) Epoch: [1][1860/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 3.5375 (3.6505) Prec@1 27.344 (25.857) Prec@5 51.562 (49.827) Epoch: [1][1870/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 3.5441 (3.6498) Prec@1 25.781 (25.876) Prec@5 47.656 (49.834) Epoch: [1][1880/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 3.3732 (3.6497) Prec@1 28.125 (25.878) Prec@5 53.125 (49.833) Epoch: [1][1890/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.6799 (3.6489) Prec@1 28.125 (25.893) Prec@5 50.781 (49.838) Epoch: [1][1900/10010] Time 0.311 (0.331) Data 0.000 (0.002) Loss 3.5297 (3.6482) Prec@1 29.688 (25.898) Prec@5 52.344 (49.850) Epoch: [1][1910/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 3.4748 (3.6477) Prec@1 26.562 (25.910) Prec@5 48.438 (49.857) Epoch: [1][1920/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 3.4283 (3.6473) Prec@1 25.781 (25.917) Prec@5 52.344 (49.863) Epoch: [1][1930/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 3.6285 (3.6466) Prec@1 26.562 (25.933) Prec@5 46.875 (49.874) Epoch: [1][1940/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.5905 (3.6467) Prec@1 25.781 (25.927) Prec@5 49.219 (49.876) Epoch: [1][1950/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.5672 (3.6469) Prec@1 27.344 (25.917) Prec@5 53.906 (49.875) Epoch: [1][1960/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 3.6562 (3.6471) Prec@1 25.000 (25.916) Prec@5 51.562 (49.878) Epoch: [1][1970/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.5534 (3.6466) Prec@1 26.562 (25.925) Prec@5 50.000 (49.893) Epoch: [1][1980/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 3.7505 (3.6468) Prec@1 24.219 (25.919) Prec@5 50.000 (49.887) Epoch: [1][1990/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 3.3741 (3.6465) Prec@1 26.562 (25.928) Prec@5 57.031 (49.899) Epoch: [1][2000/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.5658 (3.6464) Prec@1 21.875 (25.925) Prec@5 49.219 (49.906) Epoch: [1][2010/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 3.4621 (3.6453) Prec@1 27.344 (25.939) Prec@5 51.562 (49.925) Epoch: [1][2020/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 3.7131 (3.6449) Prec@1 26.562 (25.942) Prec@5 51.562 (49.931) Epoch: [1][2030/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 3.9633 (3.6448) Prec@1 20.312 (25.948) Prec@5 45.312 (49.938) Epoch: [1][2040/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 3.6872 (3.6447) Prec@1 30.469 (25.954) Prec@5 48.438 (49.936) Epoch: [1][2050/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 3.8273 (3.6442) Prec@1 23.438 (25.959) Prec@5 46.875 (49.941) Epoch: [1][2060/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 3.7543 (3.6439) Prec@1 26.562 (25.965) Prec@5 45.312 (49.948) Epoch: [1][2070/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 3.6282 (3.6437) Prec@1 27.344 (25.960) Prec@5 49.219 (49.954) Epoch: [1][2080/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 3.3486 (3.6434) Prec@1 24.219 (25.962) Prec@5 57.812 (49.961) Epoch: [1][2090/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 3.8682 (3.6427) Prec@1 18.750 (25.973) Prec@5 45.312 (49.977) Epoch: [1][2100/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 3.5625 (3.6424) Prec@1 31.250 (25.981) Prec@5 51.562 (49.977) Epoch: [1][2110/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 3.4266 (3.6419) Prec@1 36.719 (25.985) Prec@5 53.125 (49.985) Epoch: [1][2120/10010] Time 0.346 (0.331) Data 0.000 (0.002) Loss 4.0280 (3.6418) Prec@1 21.875 (25.988) Prec@5 42.188 (49.992) Epoch: [1][2130/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 3.1787 (3.6413) Prec@1 34.375 (25.989) Prec@5 58.594 (49.998) Epoch: [1][2140/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 3.8235 (3.6406) Prec@1 26.562 (26.004) Prec@5 45.312 (50.017) Epoch: [1][2150/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 3.4132 (3.6399) Prec@1 32.812 (26.016) Prec@5 52.344 (50.036) Epoch: [1][2160/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 3.6045 (3.6392) Prec@1 28.906 (26.030) Prec@5 49.219 (50.041) Epoch: [1][2170/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 4.1917 (3.6392) Prec@1 18.750 (26.029) Prec@5 41.406 (50.046) Epoch: [1][2180/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 3.6193 (3.6387) Prec@1 32.031 (26.047) Prec@5 44.531 (50.052) Epoch: [1][2190/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 3.7159 (3.6384) Prec@1 24.219 (26.044) Prec@5 48.438 (50.052) Epoch: [1][2200/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 3.4929 (3.6381) Prec@1 31.250 (26.049) Prec@5 57.031 (50.055) Epoch: [1][2210/10010] Time 0.348 (0.331) Data 0.000 (0.002) Loss 3.1157 (3.6378) Prec@1 36.719 (26.061) Prec@5 57.812 (50.053) Epoch: [1][2220/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 3.4535 (3.6373) Prec@1 30.469 (26.082) Prec@5 50.781 (50.059) Epoch: [1][2230/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 3.4628 (3.6368) Prec@1 30.469 (26.096) Prec@5 51.562 (50.072) Epoch: [1][2240/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 3.2473 (3.6358) Prec@1 34.375 (26.110) Prec@5 55.469 (50.095) Epoch: [1][2250/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 3.4311 (3.6358) Prec@1 31.250 (26.108) Prec@5 53.125 (50.095) Epoch: [1][2260/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 3.4518 (3.6349) Prec@1 25.000 (26.117) Prec@5 51.562 (50.111) Epoch: [1][2270/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 3.4666 (3.6345) Prec@1 27.344 (26.121) Prec@5 50.781 (50.111) Epoch: [1][2280/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 3.4905 (3.6336) Prec@1 27.344 (26.128) Prec@5 50.000 (50.122) Epoch: [1][2290/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 3.6799 (3.6336) Prec@1 21.094 (26.124) Prec@5 47.656 (50.130) Epoch: [1][2300/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 3.5439 (3.6333) Prec@1 21.875 (26.122) Prec@5 50.781 (50.133) Epoch: [1][2310/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 3.9839 (3.6331) Prec@1 18.750 (26.122) Prec@5 46.094 (50.141) Epoch: [1][2320/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.6615 (3.6330) Prec@1 19.531 (26.117) Prec@5 48.438 (50.144) Epoch: [1][2330/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 3.4422 (3.6323) Prec@1 28.125 (26.124) Prec@5 51.562 (50.163) Epoch: [1][2340/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 3.2076 (3.6320) Prec@1 36.719 (26.129) Prec@5 59.375 (50.165) Epoch: [1][2350/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 3.5980 (3.6314) Prec@1 26.562 (26.133) Prec@5 53.125 (50.181) Epoch: [1][2360/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 3.4300 (3.6309) Prec@1 30.469 (26.147) Prec@5 51.562 (50.188) Epoch: [1][2370/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 3.7061 (3.6310) Prec@1 25.781 (26.148) Prec@5 51.562 (50.186) Epoch: [1][2380/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 3.2916 (3.6301) Prec@1 35.156 (26.165) Prec@5 56.250 (50.206) Epoch: [1][2390/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 3.4434 (3.6297) Prec@1 28.906 (26.173) Prec@5 51.562 (50.208) Epoch: [1][2400/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 3.7517 (3.6294) Prec@1 27.344 (26.175) Prec@5 49.219 (50.215) Epoch: [1][2410/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 3.4290 (3.6289) Prec@1 26.562 (26.177) Prec@5 55.469 (50.228) Epoch: [1][2420/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 3.7608 (3.6285) Prec@1 23.438 (26.180) Prec@5 46.875 (50.238) Epoch: [1][2430/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 3.6744 (3.6286) Prec@1 27.344 (26.176) Prec@5 49.219 (50.227) Epoch: [1][2440/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 3.6719 (3.6285) Prec@1 23.438 (26.179) Prec@5 49.219 (50.227) Epoch: [1][2450/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 3.8078 (3.6286) Prec@1 25.781 (26.176) Prec@5 47.656 (50.226) Epoch: [1][2460/10010] Time 0.315 (0.331) Data 0.000 (0.002) Loss 3.6642 (3.6286) Prec@1 29.688 (26.178) Prec@5 49.219 (50.219) Epoch: [1][2470/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 3.5887 (3.6281) Prec@1 26.562 (26.177) Prec@5 48.438 (50.224) Epoch: [1][2480/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 3.3310 (3.6273) Prec@1 28.125 (26.179) Prec@5 53.906 (50.236) Epoch: [1][2490/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 3.5385 (3.6272) Prec@1 31.250 (26.183) Prec@5 54.688 (50.238) Epoch: [1][2500/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 3.3595 (3.6271) Prec@1 31.250 (26.185) Prec@5 53.125 (50.242) Epoch: [1][2510/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 3.5097 (3.6263) Prec@1 29.688 (26.204) Prec@5 53.906 (50.254) Epoch: [1][2520/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 3.3517 (3.6258) Prec@1 34.375 (26.219) Prec@5 54.688 (50.262) Epoch: [1][2530/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 3.3899 (3.6253) Prec@1 28.125 (26.225) Prec@5 52.344 (50.269) Epoch: [1][2540/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 3.7584 (3.6250) Prec@1 30.469 (26.234) Prec@5 51.562 (50.273) Epoch: [1][2550/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 3.4745 (3.6245) Prec@1 28.125 (26.240) Prec@5 50.000 (50.287) Epoch: [1][2560/10010] Time 0.347 (0.331) Data 0.000 (0.002) Loss 3.5561 (3.6243) Prec@1 28.125 (26.249) Prec@5 50.000 (50.291) Epoch: [1][2570/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 3.6142 (3.6240) Prec@1 22.656 (26.248) Prec@5 46.875 (50.296) Epoch: [1][2580/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 3.6594 (3.6238) Prec@1 28.125 (26.250) Prec@5 50.000 (50.298) Epoch: [1][2590/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.2641 (3.6234) Prec@1 27.344 (26.250) Prec@5 61.719 (50.309) Epoch: [1][2600/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.5986 (3.6229) Prec@1 24.219 (26.255) Prec@5 46.875 (50.318) Epoch: [1][2610/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 3.3683 (3.6230) Prec@1 25.000 (26.256) Prec@5 57.031 (50.316) Epoch: [1][2620/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 3.2465 (3.6223) Prec@1 31.250 (26.265) Prec@5 54.688 (50.329) Epoch: [1][2630/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 3.5948 (3.6218) Prec@1 26.562 (26.283) Prec@5 47.656 (50.334) Epoch: [1][2640/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 3.7185 (3.6212) Prec@1 25.000 (26.297) Prec@5 46.875 (50.350) Epoch: [1][2650/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 3.8499 (3.6212) Prec@1 29.688 (26.297) Prec@5 46.875 (50.349) Epoch: [1][2660/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 4.2554 (3.6211) Prec@1 19.531 (26.298) Prec@5 39.844 (50.353) Epoch: [1][2670/10010] Time 0.346 (0.331) Data 0.000 (0.002) Loss 3.1988 (3.6204) Prec@1 30.469 (26.311) Prec@5 57.812 (50.366) Epoch: [1][2680/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 3.2759 (3.6200) Prec@1 32.812 (26.317) Prec@5 53.906 (50.373) Epoch: [1][2690/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.3448 (3.6199) Prec@1 29.688 (26.321) Prec@5 53.125 (50.371) Epoch: [1][2700/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 3.5050 (3.6196) Prec@1 30.469 (26.324) Prec@5 53.906 (50.378) Epoch: [1][2710/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 3.9693 (3.6194) Prec@1 18.750 (26.326) Prec@5 46.875 (50.388) Epoch: [1][2720/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 3.7480 (3.6193) Prec@1 21.094 (26.327) Prec@5 53.906 (50.393) Epoch: [1][2730/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 3.5904 (3.6185) Prec@1 24.219 (26.336) Prec@5 52.344 (50.412) Epoch: [1][2740/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 3.8215 (3.6181) Prec@1 20.312 (26.341) Prec@5 48.438 (50.415) Epoch: [1][2750/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 3.4272 (3.6175) Prec@1 27.344 (26.353) Prec@5 56.250 (50.427) Epoch: [1][2760/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.1056 (3.6170) Prec@1 31.250 (26.357) Prec@5 61.719 (50.439) Epoch: [1][2770/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.3851 (3.6164) Prec@1 25.000 (26.371) Prec@5 55.469 (50.455) Epoch: [1][2780/10010] Time 0.347 (0.331) Data 0.001 (0.002) Loss 3.4714 (3.6156) Prec@1 21.875 (26.386) Prec@5 53.906 (50.471) Epoch: [1][2790/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.8665 (3.6151) Prec@1 25.781 (26.396) Prec@5 45.312 (50.484) Epoch: [1][2800/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.5767 (3.6150) Prec@1 26.562 (26.394) Prec@5 49.219 (50.488) Epoch: [1][2810/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.0657 (3.6142) Prec@1 30.469 (26.407) Prec@5 60.156 (50.503) Epoch: [1][2820/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 3.3407 (3.6136) Prec@1 29.688 (26.420) Prec@5 53.125 (50.517) Epoch: [1][2830/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 3.6177 (3.6133) Prec@1 32.031 (26.422) Prec@5 50.781 (50.520) Epoch: [1][2840/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 4.1025 (3.6132) Prec@1 19.531 (26.422) Prec@5 39.844 (50.519) Epoch: [1][2850/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 3.4279 (3.6127) Prec@1 31.250 (26.427) Prec@5 54.688 (50.523) Epoch: [1][2860/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.5989 (3.6121) Prec@1 21.875 (26.441) Prec@5 50.000 (50.535) Epoch: [1][2870/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.5166 (3.6121) Prec@1 25.000 (26.445) Prec@5 53.906 (50.538) Epoch: [1][2880/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1985 (3.6116) Prec@1 32.812 (26.455) Prec@5 58.594 (50.552) Epoch: [1][2890/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.1731 (3.6111) Prec@1 34.375 (26.463) Prec@5 61.719 (50.564) Epoch: [1][2900/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 3.5311 (3.6106) Prec@1 25.781 (26.467) Prec@5 49.219 (50.570) Epoch: [1][2910/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.7076 (3.6104) Prec@1 25.781 (26.468) Prec@5 46.094 (50.570) Epoch: [1][2920/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 3.3802 (3.6103) Prec@1 28.906 (26.473) Prec@5 52.344 (50.571) Epoch: [1][2930/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.3063 (3.6099) Prec@1 25.000 (26.475) Prec@5 57.031 (50.580) Epoch: [1][2940/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.3989 (3.6094) Prec@1 34.375 (26.488) Prec@5 56.250 (50.592) Epoch: [1][2950/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.7021 (3.6091) Prec@1 28.906 (26.491) Prec@5 46.875 (50.598) Epoch: [1][2960/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.7183 (3.6087) Prec@1 24.219 (26.501) Prec@5 49.219 (50.607) Epoch: [1][2970/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 3.8738 (3.6084) Prec@1 18.750 (26.502) Prec@5 44.531 (50.614) Epoch: [1][2980/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 3.1308 (3.6079) Prec@1 32.031 (26.514) Prec@5 58.594 (50.618) Epoch: [1][2990/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.5924 (3.6077) Prec@1 28.125 (26.519) Prec@5 51.562 (50.623) Epoch: [1][3000/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.4850 (3.6069) Prec@1 32.812 (26.534) Prec@5 50.781 (50.641) Epoch: [1][3010/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 3.4117 (3.6064) Prec@1 29.688 (26.543) Prec@5 53.906 (50.647) Epoch: [1][3020/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.6237 (3.6066) Prec@1 28.906 (26.543) Prec@5 48.438 (50.645) Epoch: [1][3030/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.3645 (3.6062) Prec@1 34.375 (26.556) Prec@5 52.344 (50.653) Epoch: [1][3040/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.6331 (3.6058) Prec@1 26.562 (26.565) Prec@5 49.219 (50.656) Epoch: [1][3050/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.7174 (3.6051) Prec@1 22.656 (26.578) Prec@5 46.875 (50.668) Epoch: [1][3060/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.3419 (3.6045) Prec@1 25.781 (26.589) Prec@5 56.250 (50.681) Epoch: [1][3070/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 3.5876 (3.6039) Prec@1 30.469 (26.601) Prec@5 52.344 (50.692) Epoch: [1][3080/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.3899 (3.6037) Prec@1 34.375 (26.605) Prec@5 51.562 (50.695) Epoch: [1][3090/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.3684 (3.6030) Prec@1 33.594 (26.618) Prec@5 52.344 (50.705) /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: [1][3100/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.7563 (3.6028) Prec@1 25.781 (26.620) Prec@5 50.781 (50.709) Epoch: [1][3110/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.5903 (3.6026) Prec@1 25.000 (26.624) Prec@5 53.125 (50.716) Epoch: [1][3120/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.2106 (3.6019) Prec@1 39.844 (26.644) Prec@5 55.469 (50.726) Epoch: [1][3130/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.4252 (3.6015) Prec@1 28.906 (26.647) Prec@5 55.469 (50.731) Epoch: [1][3140/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.8767 (3.6011) Prec@1 23.438 (26.645) Prec@5 48.438 (50.737) Epoch: [1][3150/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.5113 (3.6010) Prec@1 32.812 (26.649) Prec@5 53.125 (50.742) Epoch: [1][3160/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.5815 (3.6007) Prec@1 28.906 (26.653) Prec@5 52.344 (50.749) Epoch: [1][3170/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.4499 (3.6005) Prec@1 31.250 (26.658) Prec@5 56.250 (50.752) Epoch: [1][3180/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.6268 (3.6002) Prec@1 21.875 (26.658) Prec@5 49.219 (50.757) Epoch: [1][3190/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.6958 (3.5999) Prec@1 24.219 (26.661) Prec@5 50.781 (50.761) Epoch: [1][3200/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.7260 (3.5998) Prec@1 26.562 (26.665) Prec@5 45.312 (50.765) Epoch: [1][3210/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.5832 (3.5998) Prec@1 25.781 (26.667) Prec@5 54.688 (50.763) Epoch: [1][3220/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.4908 (3.5992) Prec@1 27.344 (26.676) Prec@5 53.125 (50.774) Epoch: [1][3230/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.6666 (3.5990) Prec@1 24.219 (26.675) Prec@5 54.688 (50.782) Epoch: [1][3240/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.3589 (3.5983) Prec@1 28.906 (26.680) Prec@5 55.469 (50.793) Epoch: [1][3250/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.4629 (3.5981) Prec@1 25.000 (26.685) Prec@5 58.594 (50.803) Epoch: [1][3260/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.4632 (3.5977) Prec@1 31.250 (26.691) Prec@5 46.094 (50.805) Epoch: [1][3270/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.2526 (3.5974) Prec@1 28.906 (26.691) Prec@5 53.906 (50.807) Epoch: [1][3280/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.3888 (3.5969) Prec@1 28.125 (26.696) Prec@5 53.906 (50.820) Epoch: [1][3290/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.6526 (3.5970) Prec@1 26.562 (26.694) Prec@5 50.000 (50.815) Epoch: [1][3300/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.6036 (3.5966) Prec@1 25.000 (26.698) Prec@5 46.875 (50.817) Epoch: [1][3310/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.5036 (3.5965) Prec@1 25.000 (26.708) Prec@5 52.344 (50.822) Epoch: [1][3320/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.2376 (3.5959) Prec@1 32.812 (26.718) Prec@5 60.156 (50.836) Epoch: [1][3330/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.4703 (3.5955) Prec@1 29.688 (26.726) Prec@5 57.031 (50.846) Epoch: [1][3340/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.5739 (3.5953) Prec@1 30.469 (26.728) Prec@5 48.438 (50.851) Epoch: [1][3350/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.4861 (3.5948) Prec@1 27.344 (26.736) Prec@5 52.344 (50.862) Epoch: [1][3360/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.5538 (3.5943) Prec@1 30.469 (26.745) Prec@5 53.906 (50.876) Epoch: [1][3370/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.4007 (3.5939) Prec@1 32.812 (26.751) Prec@5 56.250 (50.884) Epoch: [1][3380/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.3012 (3.5934) Prec@1 28.125 (26.760) Prec@5 53.125 (50.893) Epoch: [1][3390/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.4030 (3.5930) Prec@1 30.469 (26.766) Prec@5 60.156 (50.899) Epoch: [1][3400/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.4337 (3.5927) Prec@1 35.156 (26.772) Prec@5 59.375 (50.908) Epoch: [1][3410/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 3.5027 (3.5925) Prec@1 28.906 (26.774) Prec@5 52.344 (50.912) Epoch: [1][3420/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.5512 (3.5924) Prec@1 28.906 (26.771) Prec@5 55.469 (50.916) Epoch: [1][3430/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.4318 (3.5918) Prec@1 28.125 (26.779) Prec@5 53.906 (50.925) Epoch: [1][3440/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.5811 (3.5915) Prec@1 28.906 (26.783) Prec@5 53.125 (50.932) Epoch: [1][3450/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 3.3870 (3.5911) Prec@1 28.906 (26.791) Prec@5 56.250 (50.935) Epoch: [1][3460/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.2830 (3.5907) Prec@1 33.594 (26.795) Prec@5 53.125 (50.942) Epoch: [1][3470/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.6435 (3.5906) Prec@1 27.344 (26.795) Prec@5 57.812 (50.946) Epoch: [1][3480/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.3992 (3.5902) Prec@1 28.906 (26.796) Prec@5 60.938 (50.954) Epoch: [1][3490/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.5495 (3.5900) Prec@1 24.219 (26.804) Prec@5 51.562 (50.958) Epoch: [1][3500/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.6958 (3.5897) Prec@1 23.438 (26.802) Prec@5 47.656 (50.961) Epoch: [1][3510/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.5060 (3.5892) Prec@1 21.875 (26.805) Prec@5 50.781 (50.966) Epoch: [1][3520/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.8541 (3.5891) Prec@1 25.000 (26.804) Prec@5 41.406 (50.968) Epoch: [1][3530/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.3697 (3.5888) Prec@1 32.812 (26.807) Prec@5 51.562 (50.971) Epoch: [1][3540/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.6684 (3.5884) Prec@1 25.000 (26.812) Prec@5 52.344 (50.979) Epoch: [1][3550/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.2975 (3.5880) Prec@1 28.125 (26.817) Prec@5 53.906 (50.990) Epoch: [1][3560/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.8669 (3.5880) Prec@1 25.000 (26.817) Prec@5 47.656 (50.990) Epoch: [1][3570/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.2631 (3.5876) Prec@1 31.250 (26.820) Prec@5 57.031 (50.999) Epoch: [1][3580/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.7828 (3.5875) Prec@1 21.875 (26.824) Prec@5 42.188 (51.001) Epoch: [1][3590/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.6460 (3.5872) Prec@1 28.125 (26.828) Prec@5 48.438 (51.006) Epoch: [1][3600/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.7500 (3.5871) Prec@1 27.344 (26.833) Prec@5 44.531 (51.008) Epoch: [1][3610/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.3560 (3.5868) Prec@1 35.156 (26.839) Prec@5 59.375 (51.016) Epoch: [1][3620/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.6795 (3.5865) Prec@1 30.469 (26.845) Prec@5 59.375 (51.019) Epoch: [1][3630/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.4863 (3.5863) Prec@1 28.906 (26.850) Prec@5 55.469 (51.021) Epoch: [1][3640/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.1652 (3.5858) Prec@1 35.156 (26.854) Prec@5 62.500 (51.030) Epoch: [1][3650/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.9137 (3.5854) Prec@1 18.750 (26.863) Prec@5 48.438 (51.041) Epoch: [1][3660/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 3.5853 (3.5848) Prec@1 32.031 (26.873) Prec@5 54.688 (51.052) Epoch: [1][3670/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.4245 (3.5845) Prec@1 25.000 (26.871) Prec@5 54.688 (51.060) Epoch: [1][3680/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.5654 (3.5839) Prec@1 25.000 (26.877) Prec@5 52.344 (51.072) Epoch: [1][3690/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 3.6329 (3.5838) Prec@1 28.906 (26.881) Prec@5 48.438 (51.076) Epoch: [1][3700/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.3471 (3.5835) Prec@1 24.219 (26.883) Prec@5 48.438 (51.079) Epoch: [1][3710/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.3493 (3.5832) Prec@1 31.250 (26.887) Prec@5 53.906 (51.090) Epoch: [1][3720/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.5053 (3.5832) Prec@1 26.562 (26.887) Prec@5 50.000 (51.087) Epoch: [1][3730/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.5833 (3.5828) Prec@1 28.125 (26.893) Prec@5 50.781 (51.099) Epoch: [1][3740/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0499 (3.5825) Prec@1 34.375 (26.895) Prec@5 58.594 (51.103) Epoch: [1][3750/10010] Time 0.326 (0.331) Data 0.123 (0.001) Loss 3.4816 (3.5824) Prec@1 21.094 (26.895) Prec@5 52.344 (51.107) Epoch: [1][3760/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.2758 (3.5821) Prec@1 32.031 (26.900) Prec@5 60.156 (51.115) Epoch: [1][3770/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.3107 (3.5818) Prec@1 33.594 (26.910) Prec@5 52.344 (51.121) Epoch: [1][3780/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 3.7488 (3.5814) Prec@1 26.562 (26.914) Prec@5 47.656 (51.129) /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: [1][3790/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 3.6383 (3.5809) Prec@1 25.000 (26.922) Prec@5 50.781 (51.138) Epoch: [1][3800/10010] Time 0.340 (0.332) Data 0.005 (0.002) Loss 3.2818 (3.5806) Prec@1 34.375 (26.929) Prec@5 56.250 (51.146) Epoch: [1][3810/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 3.2220 (3.5803) Prec@1 28.125 (26.930) Prec@5 50.781 (51.148) Epoch: [1][3820/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 3.2839 (3.5801) Prec@1 31.250 (26.934) Prec@5 59.375 (51.155) Epoch: [1][3830/10010] Time 0.679 (0.333) Data 0.541 (0.003) Loss 3.6694 (3.5798) Prec@1 27.344 (26.940) Prec@5 50.781 (51.163) Epoch: [1][3840/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 3.5677 (3.5794) Prec@1 25.781 (26.947) Prec@5 50.781 (51.173) Epoch: [1][3850/10010] Time 0.316 (0.333) Data 0.000 (0.003) Loss 3.6725 (3.5791) Prec@1 28.125 (26.953) Prec@5 50.000 (51.180) Epoch: [1][3860/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 3.5617 (3.5787) Prec@1 25.000 (26.959) Prec@5 48.438 (51.186) Epoch: [1][3870/10010] Time 0.321 (0.333) Data 0.010 (0.004) Loss 3.3561 (3.5783) Prec@1 30.469 (26.966) Prec@5 56.250 (51.195) Epoch: [1][3880/10010] Time 0.320 (0.334) Data 0.000 (0.005) Loss 3.4693 (3.5781) Prec@1 26.562 (26.969) Prec@5 50.000 (51.195) Epoch: [1][3890/10010] Time 0.322 (0.334) Data 0.007 (0.005) Loss 3.4006 (3.5780) Prec@1 30.469 (26.969) Prec@5 55.469 (51.195) Epoch: [1][3900/10010] Time 0.323 (0.334) Data 0.167 (0.005) Loss 3.4215 (3.5776) Prec@1 31.250 (26.977) Prec@5 56.250 (51.204) Epoch: [1][3910/10010] Time 0.323 (0.335) Data 0.000 (0.006) Loss 3.1726 (3.5771) Prec@1 33.594 (26.985) Prec@5 55.469 (51.214) Epoch: [1][3920/10010] Time 0.329 (0.335) Data 0.000 (0.007) Loss 3.4090 (3.5768) Prec@1 26.562 (26.992) Prec@5 57.031 (51.220) Epoch: [1][3930/10010] Time 3.516 (0.336) Data 3.367 (0.008) Loss 3.4879 (3.5764) Prec@1 32.031 (27.001) Prec@5 57.031 (51.228) Epoch: 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49.219 (51.277) Epoch: [1][4020/10010] Time 0.941 (0.339) Data 0.801 (0.012) Loss 3.3648 (3.5739) Prec@1 35.156 (27.041) Prec@5 57.812 (51.285) Epoch: [1][4030/10010] Time 0.491 (0.339) Data 0.360 (0.012) Loss 3.2721 (3.5736) Prec@1 33.594 (27.046) Prec@5 50.781 (51.290) Epoch: [1][4040/10010] Time 0.322 (0.340) Data 0.000 (0.013) Loss 3.5598 (3.5733) Prec@1 28.906 (27.050) Prec@5 50.781 (51.294) Epoch: [1][4050/10010] Time 1.487 (0.340) Data 1.354 (0.014) Loss 3.7222 (3.5732) Prec@1 25.781 (27.048) Prec@5 47.656 (51.299) Epoch: [1][4060/10010] Time 0.320 (0.341) Data 0.000 (0.015) Loss 3.6338 (3.5732) Prec@1 25.000 (27.050) Prec@5 42.969 (51.296) Epoch: [1][4070/10010] Time 0.834 (0.342) Data 0.694 (0.016) Loss 3.8011 (3.5728) Prec@1 18.750 (27.057) Prec@5 44.531 (51.307) Epoch: [1][4080/10010] Time 0.401 (0.342) Data 0.262 (0.016) Loss 3.4139 (3.5727) Prec@1 29.688 (27.063) Prec@5 55.469 (51.310) Epoch: [1][4090/10010] Time 0.316 (0.343) Data 0.005 (0.017) Loss 3.5825 (3.5723) Prec@1 21.875 (27.063) Prec@5 50.781 (51.312) Epoch: [1][4100/10010] Time 0.319 (0.343) Data 0.000 (0.018) Loss 3.6774 (3.5722) Prec@1 23.438 (27.064) Prec@5 46.875 (51.313) Epoch: [1][4110/10010] Time 1.544 (0.344) Data 1.404 (0.019) Loss 3.4211 (3.5717) Prec@1 28.906 (27.070) Prec@5 57.031 (51.324) Epoch: [1][4120/10010] Time 0.319 (0.345) Data 0.000 (0.019) Loss 3.2855 (3.5713) Prec@1 29.688 (27.075) Prec@5 57.812 (51.330) Epoch: [1][4130/10010] Time 1.511 (0.346) Data 1.370 (0.021) Loss 3.5855 (3.5712) Prec@1 29.688 (27.076) Prec@5 52.344 (51.334) Epoch: [1][4140/10010] Time 0.321 (0.346) Data 0.000 (0.021) Loss 3.4615 (3.5709) Prec@1 26.562 (27.082) Prec@5 53.125 (51.339) Epoch: [1][4150/10010] Time 0.322 (0.346) Data 0.000 (0.022) Loss 3.3545 (3.5705) Prec@1 33.594 (27.091) Prec@5 59.375 (51.346) Epoch: [1][4160/10010] Time 1.102 (0.347) Data 0.963 (0.023) Loss 3.2319 (3.5704) Prec@1 32.031 (27.095) Prec@5 59.375 (51.350) Epoch: [1][4170/10010] Time 1.217 (0.348) Data 1.082 (0.024) Loss 3.5298 (3.5706) Prec@1 25.000 (27.089) Prec@5 47.656 (51.344) Epoch: [1][4180/10010] Time 0.319 (0.349) Data 0.000 (0.025) Loss 3.4477 (3.5701) Prec@1 25.781 (27.094) Prec@5 53.125 (51.350) Epoch: [1][4190/10010] Time 0.758 (0.350) Data 0.623 (0.026) Loss 3.3479 (3.5697) Prec@1 28.125 (27.101) Prec@5 54.688 (51.358) Epoch: [1][4200/10010] Time 0.319 (0.350) Data 0.001 (0.027) Loss 3.6177 (3.5693) Prec@1 28.125 (27.108) Prec@5 52.344 (51.368) Epoch: [1][4210/10010] Time 0.321 (0.351) Data 0.000 (0.028) Loss 3.3018 (3.5689) Prec@1 23.438 (27.108) Prec@5 57.031 (51.373) Epoch: [1][4220/10010] Time 0.317 (0.352) Data 0.000 (0.029) Loss 3.6786 (3.5686) Prec@1 28.906 (27.114) Prec@5 50.000 (51.380) Epoch: [1][4230/10010] Time 0.315 (0.353) Data 0.001 (0.030) Loss 3.6468 (3.5683) Prec@1 25.781 (27.122) Prec@5 50.000 (51.385) Epoch: [1][4240/10010] Time 0.316 (0.354) Data 0.001 (0.031) Loss 3.4883 (3.5681) Prec@1 28.906 (27.122) Prec@5 51.562 (51.386) Epoch: [1][4250/10010] Time 0.848 (0.354) Data 0.713 (0.032) Loss 3.4985 (3.5680) Prec@1 27.344 (27.125) Prec@5 48.438 (51.390) Epoch: [1][4260/10010] Time 0.622 (0.355) Data 0.485 (0.033) Loss 3.3782 (3.5677) Prec@1 28.906 (27.130) Prec@5 53.906 (51.397) Epoch: [1][4270/10010] Time 0.322 (0.356) Data 0.001 (0.035) Loss 3.4153 (3.5672) Prec@1 30.469 (27.137) Prec@5 57.031 (51.406) Epoch: [1][4280/10010] Time 0.311 (0.357) Data 0.001 (0.036) Loss 3.7554 (3.5669) Prec@1 27.344 (27.142) Prec@5 50.781 (51.409) Epoch: [1][4290/10010] Time 0.316 (0.358) Data 0.000 (0.036) Loss 3.6017 (3.5665) Prec@1 35.938 (27.146) Prec@5 52.344 (51.415) Epoch: [1][4300/10010] Time 0.330 (0.359) Data 0.000 (0.038) Loss 3.3010 (3.5662) Prec@1 32.031 (27.151) Prec@5 50.781 (51.420) Epoch: [1][4310/10010] Time 0.409 (0.360) Data 0.270 (0.039) Loss 3.8973 (3.5657) Prec@1 19.531 (27.158) Prec@5 50.000 (51.430) Epoch: [1][4320/10010] Time 0.314 (0.361) Data 0.010 (0.040) Loss 3.2822 (3.5655) Prec@1 34.375 (27.162) Prec@5 52.344 (51.433) Epoch: [1][4330/10010] Time 3.984 (0.362) Data 3.847 (0.042) Loss 3.6519 (3.5650) Prec@1 28.125 (27.168) Prec@5 48.438 (51.440) Epoch: [1][4340/10010] Time 3.117 (0.363) Data 2.979 (0.043) Loss 4.1063 (3.5647) Prec@1 22.656 (27.174) Prec@5 42.969 (51.446) Epoch: [1][4350/10010] Time 0.611 (0.364) Data 0.473 (0.043) Loss 3.1565 (3.5643) Prec@1 32.031 (27.181) Prec@5 57.031 (51.453) Epoch: [1][4360/10010] Time 0.312 (0.364) Data 0.138 (0.044) Loss 3.5970 (3.5640) Prec@1 25.781 (27.183) Prec@5 50.000 (51.459) Epoch: [1][4370/10010] Time 0.356 (0.365) Data 0.220 (0.045) Loss 3.4270 (3.5637) Prec@1 32.031 (27.190) Prec@5 53.906 (51.465) Epoch: [1][4380/10010] Time 0.315 (0.366) Data 0.000 (0.046) Loss 3.3870 (3.5631) Prec@1 31.250 (27.200) Prec@5 50.781 (51.475) Epoch: [1][4390/10010] Time 0.599 (0.367) Data 0.464 (0.048) Loss 3.6170 (3.5626) Prec@1 26.562 (27.206) Prec@5 52.344 (51.482) Epoch: [1][4400/10010] Time 2.881 (0.369) Data 2.741 (0.050) Loss 3.1275 (3.5622) Prec@1 33.594 (27.214) Prec@5 62.500 (51.491) Epoch: [1][4410/10010] Time 0.317 (0.369) Data 0.000 (0.050) Loss 3.7813 (3.5621) Prec@1 26.562 (27.216) Prec@5 46.875 (51.492) Epoch: [1][4420/10010] Time 0.317 (0.370) Data 0.000 (0.051) Loss 3.5649 (3.5618) Prec@1 22.656 (27.218) Prec@5 45.312 (51.495) Epoch: [1][4430/10010] Time 0.318 (0.371) Data 0.001 (0.052) Loss 3.5813 (3.5617) Prec@1 23.438 (27.219) Prec@5 48.438 (51.502) Epoch: [1][4440/10010] Time 0.318 (0.371) Data 0.000 (0.053) Loss 3.5998 (3.5614) Prec@1 25.000 (27.218) Prec@5 51.562 (51.511) Epoch: [1][4450/10010] Time 0.312 (0.372) Data 0.001 (0.054) Loss 3.2124 (3.5611) Prec@1 33.594 (27.222) Prec@5 53.906 (51.515) Epoch: [1][4460/10010] Time 0.319 (0.373) Data 0.000 (0.055) Loss 3.3306 (3.5606) Prec@1 32.812 (27.232) Prec@5 55.469 (51.522) Epoch: [1][4470/10010] Time 2.640 (0.374) Data 2.506 (0.056) Loss 3.3031 (3.5602) Prec@1 32.812 (27.242) Prec@5 58.594 (51.531) Epoch: [1][4480/10010] Time 0.315 (0.375) Data 0.001 (0.057) Loss 3.6313 (3.5600) Prec@1 29.688 (27.242) Prec@5 51.562 (51.533) Epoch: [1][4490/10010] Time 0.426 (0.375) Data 0.287 (0.058) Loss 3.4999 (3.5600) Prec@1 24.219 (27.245) Prec@5 53.125 (51.534) Epoch: [1][4500/10010] Time 0.318 (0.376) Data 0.001 (0.059) Loss 3.1420 (3.5597) Prec@1 33.594 (27.251) Prec@5 57.031 (51.539) Epoch: [1][4510/10010] Time 1.662 (0.377) Data 1.526 (0.060) Loss 3.6353 (3.5597) Prec@1 28.125 (27.256) Prec@5 50.781 (51.541) Epoch: [1][4520/10010] Time 0.686 (0.378) Data 0.547 (0.061) Loss 3.4276 (3.5592) Prec@1 33.594 (27.267) Prec@5 57.812 (51.549) Epoch: [1][4530/10010] Time 0.319 (0.380) Data 0.001 (0.063) Loss 3.4070 (3.5590) Prec@1 28.125 (27.271) Prec@5 55.469 (51.554) Epoch: [1][4540/10010] Time 0.311 (0.380) Data 0.000 (0.063) Loss 3.3777 (3.5589) Prec@1 34.375 (27.271) Prec@5 56.250 (51.556) Epoch: [1][4550/10010] Time 0.310 (0.380) Data 0.001 (0.064) Loss 3.5928 (3.5584) Prec@1 29.688 (27.280) Prec@5 51.562 (51.565) Epoch: [1][4560/10010] Time 0.321 (0.382) Data 0.014 (0.065) Loss 3.3769 (3.5581) Prec@1 37.500 (27.285) Prec@5 54.688 (51.567) Epoch: [1][4570/10010] Time 0.312 (0.383) Data 0.030 (0.067) Loss 3.4426 (3.5578) Prec@1 29.688 (27.289) Prec@5 50.781 (51.570) Epoch: [1][4580/10010] Time 0.314 (0.383) Data 0.041 (0.067) Loss 3.4110 (3.5575) Prec@1 28.125 (27.295) Prec@5 51.562 (51.575) Epoch: [1][4590/10010] Time 0.314 (0.384) Data 0.000 (0.068) Loss 3.4702 (3.5572) Prec@1 32.812 (27.302) Prec@5 51.562 (51.584) Epoch: [1][4600/10010] Time 1.753 (0.385) Data 1.612 (0.069) Loss 3.3724 (3.5568) Prec@1 28.906 (27.305) Prec@5 60.156 (51.590) Epoch: [1][4610/10010] Time 0.318 (0.386) Data 0.010 (0.070) Loss 3.6532 (3.5567) Prec@1 30.469 (27.309) Prec@5 50.781 (51.594) Epoch: [1][4620/10010] Time 0.319 (0.387) Data 0.000 (0.071) Loss 3.0706 (3.5563) Prec@1 37.500 (27.316) Prec@5 62.500 (51.603) Epoch: [1][4630/10010] Time 0.316 (0.388) Data 0.001 (0.072) Loss 3.4970 (3.5559) Prec@1 25.781 (27.321) Prec@5 52.344 (51.608) Epoch: [1][4640/10010] Time 0.313 (0.388) 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52.344 (51.700) Epoch: [1][4800/10010] Time 0.318 (0.400) Data 0.001 (0.087) Loss 3.4510 (3.5511) Prec@1 31.250 (27.390) Prec@5 54.688 (51.709) Epoch: [1][4810/10010] Time 3.493 (0.401) Data 3.346 (0.089) Loss 3.3989 (3.5507) Prec@1 28.906 (27.398) Prec@5 52.344 (51.718) Epoch: [1][4820/10010] Time 0.356 (0.401) Data 0.221 (0.089) Loss 3.4898 (3.5503) Prec@1 32.812 (27.402) Prec@5 53.906 (51.726) Epoch: [1][4830/10010] Time 0.317 (0.402) Data 0.001 (0.090) Loss 3.4134 (3.5501) Prec@1 30.469 (27.406) Prec@5 57.031 (51.732) Epoch: [1][4840/10010] Time 1.877 (0.403) Data 1.740 (0.091) Loss 3.3757 (3.5498) Prec@1 28.125 (27.415) Prec@5 55.469 (51.740) Epoch: [1][4850/10010] Time 0.835 (0.403) Data 0.699 (0.091) Loss 3.4887 (3.5495) Prec@1 29.688 (27.419) Prec@5 54.688 (51.747) Epoch: [1][4860/10010] Time 0.313 (0.404) Data 0.000 (0.092) Loss 3.6612 (3.5492) Prec@1 25.781 (27.422) Prec@5 48.438 (51.751) Epoch: [1][4870/10010] Time 0.714 (0.405) Data 0.576 (0.093) Loss 3.5101 (3.5490) Prec@1 22.656 (27.422) Prec@5 54.688 (51.754) Epoch: [1][4880/10010] Time 0.667 (0.405) Data 0.528 (0.094) Loss 3.3179 (3.5488) Prec@1 29.688 (27.426) Prec@5 54.688 (51.756) Epoch: [1][4890/10010] Time 0.315 (0.406) Data 0.000 (0.095) Loss 3.2371 (3.5487) Prec@1 31.250 (27.429) Prec@5 57.812 (51.760) Epoch: [1][4900/10010] Time 0.323 (0.407) Data 0.000 (0.095) Loss 3.3056 (3.5482) Prec@1 24.219 (27.433) Prec@5 57.812 (51.771) Epoch: [1][4910/10010] Time 0.317 (0.407) Data 0.000 (0.096) Loss 3.3736 (3.5479) Prec@1 30.469 (27.439) Prec@5 49.219 (51.775) Epoch: [1][4920/10010] Time 0.319 (0.408) Data 0.000 (0.097) Loss 3.4624 (3.5478) Prec@1 26.562 (27.444) Prec@5 50.000 (51.774) Epoch: [1][4930/10010] Time 2.273 (0.409) Data 2.140 (0.098) Loss 3.5044 (3.5477) Prec@1 24.219 (27.444) Prec@5 53.125 (51.774) Epoch: [1][4940/10010] Time 0.319 (0.409) Data 0.000 (0.099) Loss 3.2360 (3.5475) Prec@1 34.375 (27.447) Prec@5 56.250 (51.778) Epoch: [1][4950/10010] Time 0.655 (0.409) Data 0.514 (0.099) Loss 3.4691 (3.5473) Prec@1 32.031 (27.449) Prec@5 54.688 (51.780) /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: [1][4960/10010] Time 0.719 (0.410) Data 0.590 (0.100) Loss 3.7401 (3.5470) Prec@1 25.781 (27.454) Prec@5 43.750 (51.785) Epoch: [1][4970/10010] Time 0.319 (0.412) Data 0.000 (0.101) Loss 3.3863 (3.5469) Prec@1 29.688 (27.454) Prec@5 53.125 (51.784) Epoch: [1][4980/10010] Time 3.799 (0.412) Data 3.656 (0.102) Loss 3.3792 (3.5466) Prec@1 32.031 (27.461) Prec@5 58.594 (51.791) Epoch: [1][4990/10010] Time 0.314 (0.412) Data 0.001 (0.102) Loss 3.2641 (3.5461) Prec@1 32.812 (27.467) Prec@5 57.812 (51.797) Epoch: [1][5000/10010] Time 0.316 (0.413) Data 0.008 (0.103) Loss 3.7718 (3.5461) Prec@1 25.000 (27.465) Prec@5 46.094 (51.798) Epoch: [1][5010/10010] Time 0.316 (0.414) Data 0.001 (0.104) Loss 3.4987 (3.5455) Prec@1 26.562 (27.473) Prec@5 54.688 (51.811) Epoch: [1][5020/10010] Time 0.315 (0.415) Data 0.001 (0.105) Loss 3.2825 (3.5451) Prec@1 28.906 (27.478) Prec@5 55.469 (51.819) Epoch: [1][5030/10010] Time 0.322 (0.415) Data 0.009 (0.105) Loss 3.1495 (3.5449) Prec@1 35.156 (27.484) Prec@5 60.938 (51.825) Epoch: [1][5040/10010] Time 0.315 (0.415) Data 0.000 (0.106) Loss 3.7122 (3.5449) Prec@1 29.688 (27.484) Prec@5 50.000 (51.826) Epoch: [1][5050/10010] Time 0.813 (0.416) Data 0.679 (0.107) Loss 3.2451 (3.5447) Prec@1 38.281 (27.491) Prec@5 57.031 (51.830) Epoch: [1][5060/10010] Time 1.940 (0.417) Data 1.808 (0.108) Loss 3.1369 (3.5441) Prec@1 32.031 (27.499) Prec@5 57.812 (51.838) Epoch: [1][5070/10010] Time 1.864 (0.417) Data 1.730 (0.109) Loss 3.3420 (3.5439) Prec@1 27.344 (27.502) Prec@5 57.031 (51.843) Epoch: [1][5080/10010] Time 0.316 (0.418) Data 0.136 (0.109) Loss 3.7140 (3.5436) Prec@1 28.125 (27.509) Prec@5 47.656 (51.846) Epoch: [1][5090/10010] Time 0.736 (0.419) Data 0.597 (0.110) Loss 3.7899 (3.5433) Prec@1 28.125 (27.515) Prec@5 51.562 (51.856) Epoch: [1][5100/10010] Time 1.617 (0.419) Data 1.485 (0.111) Loss 3.0846 (3.5427) Prec@1 33.594 (27.523) Prec@5 64.062 (51.865) Epoch: [1][5110/10010] Time 0.323 (0.420) Data 0.014 (0.111) Loss 3.5459 (3.5424) Prec@1 23.438 (27.525) Prec@5 50.781 (51.873) Epoch: [1][5120/10010] Time 1.710 (0.420) Data 1.577 (0.112) Loss 3.4932 (3.5420) Prec@1 24.219 (27.528) Prec@5 47.656 (51.874) Epoch: [1][5130/10010] Time 0.319 (0.421) Data 0.000 (0.113) Loss 3.5842 (3.5417) Prec@1 26.562 (27.533) Prec@5 49.219 (51.878) Epoch: [1][5140/10010] Time 0.315 (0.422) Data 0.001 (0.114) Loss 3.5826 (3.5414) Prec@1 26.562 (27.532) Prec@5 51.562 (51.882) Epoch: [1][5150/10010] Time 0.329 (0.423) Data 0.000 (0.115) Loss 3.3055 (3.5413) Prec@1 29.688 (27.538) Prec@5 55.469 (51.886) Epoch: [1][5160/10010] Time 1.833 (0.423) Data 1.698 (0.116) Loss 3.4428 (3.5410) Prec@1 30.469 (27.544) Prec@5 53.906 (51.892) Epoch: [1][5170/10010] Time 0.317 (0.424) Data 0.001 (0.116) Loss 3.4285 (3.5407) Prec@1 29.688 (27.550) Prec@5 52.344 (51.902) Epoch: [1][5180/10010] Time 0.318 (0.424) Data 0.000 (0.117) Loss 3.4682 (3.5402) Prec@1 27.344 (27.555) Prec@5 50.781 (51.912) Epoch: [1][5190/10010] Time 2.393 (0.425) Data 2.256 (0.118) Loss 3.3626 (3.5399) Prec@1 30.469 (27.562) Prec@5 54.688 (51.919) Epoch: [1][5200/10010] Time 1.057 (0.426) Data 0.923 (0.119) Loss 3.3829 (3.5396) Prec@1 26.562 (27.562) Prec@5 57.812 (51.923) Epoch: [1][5210/10010] Time 1.092 (0.426) Data 0.957 (0.119) Loss 3.1339 (3.5389) Prec@1 33.594 (27.575) Prec@5 58.594 (51.935) Epoch: [1][5220/10010] Time 0.316 (0.427) Data 0.000 (0.120) Loss 3.2713 (3.5384) Prec@1 32.031 (27.583) Prec@5 53.125 (51.943) Epoch: [1][5230/10010] Time 0.329 (0.427) Data 0.000 (0.120) Loss 3.2721 (3.5382) Prec@1 28.906 (27.586) Prec@5 55.469 (51.946) Epoch: [1][5240/10010] Time 0.318 (0.429) Data 0.000 (0.122) Loss 3.3525 (3.5377) Prec@1 32.812 (27.592) Prec@5 57.031 (51.954) Epoch: [1][5250/10010] Time 1.103 (0.429) Data 0.970 (0.122) Loss 3.2396 (3.5371) Prec@1 32.031 (27.599) Prec@5 58.594 (51.966) Epoch: [1][5260/10010] Time 2.223 (0.430) Data 2.084 (0.123) Loss 2.9572 (3.5366) Prec@1 34.375 (27.607) Prec@5 63.281 (51.973) Epoch: [1][5270/10010] Time 0.312 (0.431) Data 0.000 (0.124) Loss 3.1701 (3.5362) Prec@1 32.812 (27.613) Prec@5 56.250 (51.982) Epoch: [1][5280/10010] Time 0.317 (0.431) Data 0.013 (0.124) Loss 3.5517 (3.5359) Prec@1 27.344 (27.617) Prec@5 53.906 (51.990) Epoch: [1][5290/10010] Time 1.928 (0.432) Data 1.801 (0.126) Loss 3.4085 (3.5357) Prec@1 28.906 (27.620) Prec@5 53.906 (51.996) Epoch: [1][5300/10010] Time 0.319 (0.433) Data 0.000 (0.126) Loss 3.0865 (3.5354) Prec@1 35.938 (27.624) Prec@5 63.281 (52.001) Epoch: [1][5310/10010] Time 1.960 (0.433) Data 1.826 (0.127) Loss 3.6129 (3.5352) Prec@1 26.562 (27.631) Prec@5 47.656 (52.007) Epoch: [1][5320/10010] Time 0.843 (0.434) Data 0.701 (0.128) Loss 3.2644 (3.5349) Prec@1 29.688 (27.634) Prec@5 54.688 (52.010) Epoch: [1][5330/10010] Time 0.578 (0.434) Data 0.445 (0.128) Loss 3.2621 (3.5346) Prec@1 28.906 (27.638) Prec@5 60.156 (52.015) Epoch: [1][5340/10010] Time 2.094 (0.435) Data 1.959 (0.129) Loss 3.3741 (3.5343) Prec@1 35.156 (27.644) Prec@5 51.562 (52.018) Epoch: [1][5350/10010] Time 0.315 (0.436) Data 0.001 (0.130) Loss 3.6063 (3.5341) Prec@1 24.219 (27.648) Prec@5 52.344 (52.021) Epoch: [1][5360/10010] Time 0.320 (0.437) Data 0.000 (0.131) Loss 3.3056 (3.5338) Prec@1 29.688 (27.653) Prec@5 53.906 (52.025) Epoch: [1][5370/10010] Time 0.316 (0.437) Data 0.001 (0.132) Loss 3.1607 (3.5335) Prec@1 29.688 (27.656) Prec@5 62.500 (52.030) Epoch: [1][5380/10010] Time 0.315 (0.438) Data 0.000 (0.133) Loss 3.6381 (3.5333) Prec@1 28.125 (27.661) Prec@5 56.250 (52.037) Epoch: [1][5390/10010] Time 1.397 (0.439) Data 1.259 (0.134) Loss 3.2303 (3.5330) Prec@1 34.375 (27.668) Prec@5 54.688 (52.044) Epoch: [1][5400/10010] Time 0.337 (0.439) Data 0.200 (0.134) Loss 3.4232 (3.5328) Prec@1 33.594 (27.672) Prec@5 53.906 (52.049) Epoch: [1][5410/10010] Time 0.309 (0.440) Data 0.013 (0.135) Loss 3.3792 (3.5325) Prec@1 32.812 (27.678) Prec@5 56.250 (52.056) Epoch: [1][5420/10010] Time 0.781 (0.441) Data 0.639 (0.136) Loss 3.3744 (3.5322) Prec@1 27.344 (27.681) Prec@5 57.031 (52.065) Epoch: [1][5430/10010] Time 0.555 (0.442) Data 0.303 (0.137) Loss 3.3080 (3.5318) Prec@1 33.594 (27.688) Prec@5 54.688 (52.071) Epoch: [1][5440/10010] Time 0.319 (0.443) Data 0.000 (0.138) Loss 3.3588 (3.5316) Prec@1 33.594 (27.696) Prec@5 53.906 (52.076) Epoch: [1][5450/10010] Time 0.713 (0.443) Data 0.578 (0.139) Loss 3.3873 (3.5317) Prec@1 25.000 (27.699) Prec@5 56.250 (52.076) Epoch: [1][5460/10010] Time 1.892 (0.444) Data 1.747 (0.140) Loss 3.5468 (3.5315) Prec@1 24.219 (27.703) Prec@5 52.344 (52.082) Epoch: [1][5470/10010] Time 0.317 (0.445) Data 0.000 (0.141) Loss 3.1594 (3.5311) Prec@1 36.719 (27.706) Prec@5 63.281 (52.088) Epoch: [1][5480/10010] Time 0.316 (0.446) Data 0.000 (0.142) Loss 3.2768 (3.5309) Prec@1 32.031 (27.710) Prec@5 59.375 (52.093) Epoch: [1][5490/10010] Time 0.317 (0.446) Data 0.000 (0.142) Loss 3.5333 (3.5307) Prec@1 28.125 (27.712) Prec@5 53.125 (52.095) Epoch: [1][5500/10010] Time 1.759 (0.447) Data 1.619 (0.143) Loss 3.4839 (3.5305) Prec@1 25.781 (27.717) Prec@5 53.125 (52.101) Epoch: [1][5510/10010] Time 1.239 (0.448) Data 1.103 (0.144) Loss 3.6400 (3.5302) Prec@1 25.000 (27.718) Prec@5 47.656 (52.105) Epoch: [1][5520/10010] Time 0.317 (0.448) Data 0.000 (0.145) Loss 3.4805 (3.5297) Prec@1 28.906 (27.726) Prec@5 52.344 (52.113) Epoch: [1][5530/10010] Time 2.869 (0.449) Data 2.729 (0.146) Loss 3.2045 (3.5294) Prec@1 31.250 (27.733) Prec@5 57.812 (52.118) Epoch: [1][5540/10010] Time 0.319 (0.450) Data 0.000 (0.147) Loss 3.4541 (3.5291) Prec@1 27.344 (27.740) Prec@5 53.125 (52.125) Epoch: [1][5550/10010] Time 0.316 (0.451) Data 0.001 (0.148) Loss 3.3590 (3.5288) Prec@1 27.344 (27.741) Prec@5 57.031 (52.131) Epoch: [1][5560/10010] Time 0.315 (0.451) Data 0.012 (0.148) Loss 3.6821 (3.5286) Prec@1 33.594 (27.747) Prec@5 49.219 (52.132) Epoch: [1][5570/10010] Time 0.364 (0.452) Data 0.221 (0.149) Loss 3.2613 (3.5282) Prec@1 32.812 (27.757) Prec@5 53.906 (52.139) Epoch: [1][5580/10010] Time 0.315 (0.452) Data 0.014 (0.150) Loss 3.0360 (3.5279) Prec@1 35.156 (27.762) Prec@5 59.375 (52.148) Epoch: [1][5590/10010] Time 2.856 (0.454) Data 2.719 (0.151) Loss 3.4051 (3.5277) Prec@1 34.375 (27.764) Prec@5 57.812 (52.150) Epoch: [1][5600/10010] Time 0.324 (0.454) Data 0.000 (0.152) Loss 3.9027 (3.5275) Prec@1 21.875 (27.767) Prec@5 49.219 (52.152) Epoch: [1][5610/10010] Time 0.988 (0.455) Data 0.848 (0.153) Loss 3.7005 (3.5274) Prec@1 28.906 (27.772) Prec@5 51.562 (52.156) Epoch: [1][5620/10010] Time 0.324 (0.455) Data 0.000 (0.153) Loss 3.2577 (3.5272) Prec@1 25.000 (27.773) Prec@5 55.469 (52.160) Epoch: [1][5630/10010] Time 0.314 (0.456) Data 0.057 (0.154) Loss 3.1041 (3.5267) Prec@1 34.375 (27.782) Prec@5 60.938 (52.168) Epoch: [1][5640/10010] Time 0.317 (0.457) Data 0.000 (0.155) Loss 3.3650 (3.5265) Prec@1 26.562 (27.784) Prec@5 56.250 (52.173) Epoch: [1][5650/10010] Time 0.318 (0.457) Data 0.013 (0.155) Loss 3.3170 (3.5262) Prec@1 32.812 (27.790) Prec@5 55.469 (52.180) Epoch: [1][5660/10010] Time 0.316 (0.458) Data 0.001 (0.156) Loss 2.9124 (3.5258) Prec@1 39.062 (27.796) Prec@5 66.406 (52.188) Epoch: [1][5670/10010] Time 2.773 (0.459) Data 2.636 (0.158) Loss 3.3415 (3.5255) Prec@1 27.344 (27.796) Prec@5 54.688 (52.191) Epoch: [1][5680/10010] Time 0.323 (0.459) Data 0.001 (0.158) Loss 3.4220 (3.5252) Prec@1 29.688 (27.802) Prec@5 53.906 (52.196) Epoch: [1][5690/10010] Time 0.317 (0.460) Data 0.010 (0.158) Loss 3.5162 (3.5251) Prec@1 33.594 (27.802) Prec@5 53.906 (52.199) Epoch: [1][5700/10010] Time 0.705 (0.460) Data 0.573 (0.159) Loss 3.0991 (3.5246) Prec@1 33.594 (27.810) Prec@5 57.031 (52.210) Epoch: [1][5710/10010] Time 0.311 (0.461) Data 0.001 (0.160) Loss 3.4078 (3.5245) Prec@1 29.688 (27.814) Prec@5 53.125 (52.214) Epoch: [1][5720/10010] Time 0.321 (0.462) Data 0.001 (0.161) Loss 3.1317 (3.5240) Prec@1 29.688 (27.822) Prec@5 67.188 (52.223) Epoch: [1][5730/10010] Time 1.048 (0.462) Data 0.912 (0.161) Loss 3.4977 (3.5237) Prec@1 27.344 (27.824) Prec@5 51.562 (52.227) Epoch: [1][5740/10010] Time 4.465 (0.463) Data 4.227 (0.163) Loss 3.5557 (3.5235) Prec@1 28.906 (27.829) Prec@5 52.344 (52.234) Epoch: [1][5750/10010] Time 0.318 (0.463) Data 0.001 (0.163) Loss 3.1155 (3.5232) Prec@1 32.031 (27.836) Prec@5 56.250 (52.240) Epoch: [1][5760/10010] Time 0.317 (0.464) Data 0.000 (0.163) Loss 3.0614 (3.5229) Prec@1 34.375 (27.840) Prec@5 57.031 (52.245) Epoch: [1][5770/10010] Time 0.319 (0.465) Data 0.007 (0.164) Loss 3.2565 (3.5226) Prec@1 35.938 (27.844) Prec@5 57.812 (52.251) Epoch: [1][5780/10010] Time 0.315 (0.465) Data 0.001 (0.165) Loss 3.6776 (3.5225) Prec@1 22.656 (27.842) Prec@5 50.781 (52.253) Epoch: [1][5790/10010] Time 3.509 (0.467) Data 3.369 (0.166) Loss 3.3157 (3.5222) Prec@1 32.812 (27.848) Prec@5 60.156 (52.261) Epoch: [1][5800/10010] Time 0.537 (0.467) Data 0.403 (0.167) Loss 3.4618 (3.5219) Prec@1 32.031 (27.852) Prec@5 51.562 (52.266) Epoch: [1][5810/10010] Time 2.923 (0.468) Data 2.782 (0.168) Loss 3.6121 (3.5216) Prec@1 31.250 (27.856) Prec@5 48.438 (52.269) Epoch: [1][5820/10010] Time 0.332 (0.469) Data 0.000 (0.169) Loss 3.4900 (3.5214) Prec@1 28.125 (27.860) Prec@5 53.125 (52.273) Epoch: [1][5830/10010] Time 0.319 (0.469) Data 0.001 (0.169) Loss 3.2416 (3.5211) Prec@1 28.906 (27.864) Prec@5 59.375 (52.276) Epoch: [1][5840/10010] Time 1.558 (0.469) Data 1.416 (0.170) Loss 2.9052 (3.5207) Prec@1 36.719 (27.870) Prec@5 63.281 (52.286) Epoch: [1][5850/10010] Time 0.315 (0.470) Data 0.000 (0.171) Loss 3.3762 (3.5206) Prec@1 31.250 (27.873) Prec@5 55.469 (52.291) Epoch: [1][5860/10010] Time 0.316 (0.471) Data 0.000 (0.172) Loss 3.2468 (3.5202) Prec@1 25.781 (27.874) Prec@5 54.688 (52.297) Epoch: [1][5870/10010] Time 0.316 (0.471) Data 0.006 (0.172) Loss 3.0804 (3.5200) Prec@1 34.375 (27.878) Prec@5 60.938 (52.301) Epoch: [1][5880/10010] Time 1.337 (0.472) Data 1.198 (0.173) Loss 3.3671 (3.5199) Prec@1 28.906 (27.879) Prec@5 57.031 (52.303) Epoch: [1][5890/10010] Time 0.318 (0.473) Data 0.000 (0.174) Loss 3.5476 (3.5198) Prec@1 29.688 (27.881) Prec@5 50.000 (52.305) Epoch: [1][5900/10010] Time 0.317 (0.473) Data 0.000 (0.174) Loss 3.5698 (3.5196) Prec@1 25.000 (27.885) Prec@5 57.031 (52.309) Epoch: [1][5910/10010] Time 2.179 (0.474) Data 2.045 (0.175) Loss 2.8417 (3.5191) Prec@1 39.062 (27.893) Prec@5 66.406 (52.321) Epoch: [1][5920/10010] Time 2.416 (0.475) Data 2.280 (0.176) Loss 3.4942 (3.5187) Prec@1 26.562 (27.897) Prec@5 53.906 (52.326) Epoch: [1][5930/10010] Time 0.320 (0.475) Data 0.000 (0.177) Loss 3.6609 (3.5187) Prec@1 23.438 (27.899) Prec@5 51.562 (52.330) Epoch: [1][5940/10010] Time 0.318 (0.476) Data 0.001 (0.177) Loss 3.5380 (3.5186) Prec@1 23.438 (27.898) Prec@5 49.219 (52.330) Epoch: [1][5950/10010] Time 0.319 (0.477) Data 0.001 (0.178) Loss 3.2757 (3.5182) Prec@1 27.344 (27.905) Prec@5 61.719 (52.337) Epoch: [1][5960/10010] Time 3.439 (0.477) Data 3.310 (0.179) Loss 3.1443 (3.5180) Prec@1 32.812 (27.912) Prec@5 62.500 (52.342) Epoch: [1][5970/10010] Time 2.229 (0.478) Data 2.095 (0.179) Loss 3.4565 (3.5177) Prec@1 31.250 (27.914) Prec@5 53.125 (52.346) Epoch: [1][5980/10010] Time 0.424 (0.478) Data 0.282 (0.180) Loss 3.4499 (3.5175) Prec@1 32.812 (27.917) Prec@5 56.250 (52.348) Epoch: [1][5990/10010] Time 0.669 (0.479) Data 0.529 (0.181) Loss 3.2269 (3.5171) Prec@1 33.594 (27.923) Prec@5 57.812 (52.355) Epoch: [1][6000/10010] Time 0.316 (0.479) Data 0.001 (0.181) Loss 3.4054 (3.5168) Prec@1 27.344 (27.929) Prec@5 59.375 (52.362) Epoch: [1][6010/10010] Time 0.312 (0.480) Data 0.001 (0.182) Loss 3.0361 (3.5165) Prec@1 35.156 (27.934) Prec@5 58.594 (52.369) Epoch: [1][6020/10010] Time 0.567 (0.480) Data 0.429 (0.182) Loss 3.0616 (3.5161) Prec@1 32.031 (27.936) Prec@5 58.594 (52.375) Epoch: [1][6030/10010] Time 0.318 (0.480) Data 0.000 (0.183) Loss 3.2075 (3.5158) Prec@1 31.250 (27.938) Prec@5 56.250 (52.382) Epoch: [1][6040/10010] Time 1.046 (0.481) Data 0.908 (0.184) Loss 3.2008 (3.5156) Prec@1 30.469 (27.943) Prec@5 59.375 (52.387) Epoch: [1][6050/10010] Time 1.349 (0.482) Data 1.105 (0.184) Loss 3.4646 (3.5153) Prec@1 31.250 (27.947) Prec@5 53.906 (52.393) Epoch: [1][6060/10010] Time 0.316 (0.482) Data 0.001 (0.185) Loss 3.0994 (3.5151) Prec@1 36.719 (27.950) Prec@5 60.156 (52.399) Epoch: [1][6070/10010] Time 0.313 (0.483) Data 0.001 (0.186) Loss 3.4943 (3.5148) Prec@1 25.781 (27.953) Prec@5 53.906 (52.404) Epoch: [1][6080/10010] Time 1.126 (0.483) Data 0.987 (0.186) Loss 3.0889 (3.5146) Prec@1 39.062 (27.959) Prec@5 67.188 (52.407) Epoch: [1][6090/10010] Time 0.314 (0.484) Data 0.000 (0.187) Loss 3.4281 (3.5143) Prec@1 26.562 (27.963) Prec@5 56.250 (52.411) Epoch: [1][6100/10010] Time 0.315 (0.485) Data 0.001 (0.188) Loss 3.3667 (3.5140) Prec@1 32.031 (27.967) Prec@5 59.375 (52.417) Epoch: [1][6110/10010] Time 0.955 (0.485) Data 0.817 (0.188) Loss 3.6540 (3.5137) Prec@1 24.219 (27.972) Prec@5 47.656 (52.423) Epoch: [1][6120/10010] Time 1.897 (0.486) Data 1.758 (0.189) Loss 3.1381 (3.5133) Prec@1 33.594 (27.977) Prec@5 57.031 (52.430) Epoch: [1][6130/10010] Time 0.328 (0.486) Data 0.187 (0.189) Loss 3.2212 (3.5131) Prec@1 32.031 (27.980) Prec@5 57.812 (52.435) Epoch: [1][6140/10010] Time 0.317 (0.487) Data 0.118 (0.190) Loss 3.1794 (3.5128) Prec@1 31.250 (27.986) Prec@5 57.812 (52.440) Epoch: [1][6150/10010] Time 1.165 (0.487) Data 1.030 (0.191) Loss 3.3567 (3.5126) Prec@1 26.562 (27.988) Prec@5 53.125 (52.444) Epoch: [1][6160/10010] Time 0.318 (0.488) Data 0.000 (0.191) Loss 3.1296 (3.5122) Prec@1 32.812 (27.996) Prec@5 61.719 (52.450) Epoch: [1][6170/10010] Time 0.320 (0.488) Data 0.000 (0.192) Loss 3.6385 (3.5120) Prec@1 25.000 (28.002) Prec@5 46.875 (52.455) Epoch: [1][6180/10010] Time 0.392 (0.489) Data 0.252 (0.193) Loss 3.4458 (3.5118) Prec@1 35.156 (28.006) Prec@5 52.344 (52.458) Epoch: [1][6190/10010] Time 0.319 (0.490) Data 0.000 (0.194) Loss 3.5002 (3.5117) Prec@1 27.344 (28.010) Prec@5 56.250 (52.460) Epoch: [1][6200/10010] Time 2.553 (0.490) Data 2.414 (0.194) Loss 3.3918 (3.5113) Prec@1 21.875 (28.014) Prec@5 48.438 (52.468) /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: [1][6210/10010] Time 1.449 (0.491) Data 1.312 (0.195) Loss 3.3957 (3.5113) Prec@1 28.906 (28.015) Prec@5 54.688 (52.470) Epoch: [1][6220/10010] Time 0.318 (0.491) Data 0.009 (0.195) Loss 3.6828 (3.5110) Prec@1 28.125 (28.020) Prec@5 46.875 (52.475) Epoch: [1][6230/10010] Time 2.191 (0.492) Data 2.046 (0.196) Loss 3.4502 (3.5106) Prec@1 26.562 (28.025) Prec@5 52.344 (52.482) Epoch: [1][6240/10010] Time 0.317 (0.492) Data 0.000 (0.197) Loss 3.2240 (3.5104) Prec@1 27.344 (28.029) Prec@5 55.469 (52.489) Epoch: [1][6250/10010] Time 0.311 (0.493) Data 0.001 (0.198) Loss 3.0756 (3.5101) Prec@1 34.375 (28.035) Prec@5 60.938 (52.494) Epoch: [1][6260/10010] Time 1.392 (0.494) Data 1.263 (0.198) Loss 3.5645 (3.5097) Prec@1 28.125 (28.041) Prec@5 52.344 (52.501) Epoch: [1][6270/10010] Time 0.318 (0.494) Data 0.013 (0.199) Loss 3.2834 (3.5093) Prec@1 32.812 (28.047) Prec@5 57.812 (52.509) Epoch: [1][6280/10010] Time 0.316 (0.494) Data 0.000 (0.199) Loss 3.4575 (3.5092) Prec@1 28.906 (28.049) Prec@5 51.562 (52.510) Epoch: [1][6290/10010] Time 0.318 (0.495) Data 0.000 (0.200) Loss 3.3984 (3.5088) Prec@1 27.344 (28.055) Prec@5 52.344 (52.516) Epoch: [1][6300/10010] Time 0.318 (0.496) Data 0.001 (0.201) Loss 3.2490 (3.5085) Prec@1 33.594 (28.061) Prec@5 60.156 (52.522) Epoch: [1][6310/10010] Time 1.604 (0.496) Data 1.465 (0.201) Loss 3.3781 (3.5083) Prec@1 28.125 (28.063) Prec@5 53.125 (52.525) Epoch: [1][6320/10010] Time 0.318 (0.497) Data 0.000 (0.202) Loss 3.3307 (3.5079) Prec@1 28.125 (28.070) Prec@5 60.938 (52.534) Epoch: [1][6330/10010] Time 1.664 (0.497) Data 1.525 (0.203) Loss 3.0661 (3.5075) Prec@1 35.938 (28.075) Prec@5 61.719 (52.542) Epoch: [1][6340/10010] Time 0.317 (0.498) Data 0.001 (0.203) Loss 3.3157 (3.5072) Prec@1 35.156 (28.080) Prec@5 52.344 (52.548) Epoch: [1][6350/10010] Time 4.575 (0.499) Data 4.438 (0.204) Loss 3.2622 (3.5068) Prec@1 33.594 (28.085) Prec@5 57.031 (52.553) Epoch: [1][6360/10010] Time 0.322 (0.499) Data 0.000 (0.204) Loss 3.3539 (3.5065) Prec@1 34.375 (28.091) Prec@5 55.469 (52.556) Epoch: [1][6370/10010] Time 0.316 (0.499) Data 0.000 (0.205) Loss 3.0419 (3.5061) Prec@1 36.719 (28.097) Prec@5 58.594 (52.565) Epoch: [1][6380/10010] Time 0.324 (0.500) Data 0.001 (0.206) Loss 3.0656 (3.5058) Prec@1 32.812 (28.100) Prec@5 57.031 (52.569) Epoch: [1][6390/10010] Time 0.341 (0.500) Data 0.210 (0.206) Loss 3.4681 (3.5056) Prec@1 25.781 (28.105) Prec@5 53.906 (52.573) Epoch: [1][6400/10010] Time 0.316 (0.501) Data 0.000 (0.206) Loss 3.0273 (3.5054) Prec@1 37.500 (28.109) Prec@5 61.719 (52.577) Epoch: [1][6410/10010] Time 3.047 (0.501) Data 2.908 (0.207) Loss 3.1806 (3.5049) Prec@1 27.344 (28.116) Prec@5 54.688 (52.586) Epoch: [1][6420/10010] Time 4.123 (0.502) Data 3.963 (0.208) Loss 3.7206 (3.5047) Prec@1 19.531 (28.118) Prec@5 47.656 (52.591) Epoch: [1][6430/10010] Time 0.316 (0.502) Data 0.000 (0.208) Loss 3.0408 (3.5043) Prec@1 38.281 (28.125) Prec@5 65.625 (52.598) Epoch: [1][6440/10010] Time 0.315 (0.502) Data 0.001 (0.208) Loss 3.1891 (3.5041) Prec@1 31.250 (28.128) Prec@5 61.719 (52.602) Epoch: [1][6450/10010] Time 0.317 (0.503) Data 0.000 (0.209) Loss 3.3391 (3.5037) Prec@1 32.812 (28.134) Prec@5 54.688 (52.609) Epoch: [1][6460/10010] Time 1.102 (0.503) Data 0.962 (0.210) Loss 3.1585 (3.5034) Prec@1 34.375 (28.138) Prec@5 60.938 (52.614) Epoch: [1][6470/10010] Time 4.794 (0.504) Data 4.645 (0.211) Loss 3.4611 (3.5032) Prec@1 27.344 (28.142) Prec@5 53.906 (52.619) Epoch: [1][6480/10010] Time 0.320 (0.505) Data 0.000 (0.211) Loss 3.2364 (3.5030) Prec@1 32.031 (28.145) Prec@5 60.156 (52.625) Epoch: [1][6490/10010] Time 0.314 (0.505) Data 0.000 (0.211) Loss 3.3259 (3.5027) Prec@1 28.125 (28.149) Prec@5 57.031 (52.631) Epoch: [1][6500/10010] Time 0.319 (0.505) Data 0.057 (0.211) Loss 3.0187 (3.5025) Prec@1 38.281 (28.155) Prec@5 64.062 (52.637) Epoch: [1][6510/10010] Time 0.317 (0.505) Data 0.001 (0.212) Loss 3.5256 (3.5023) Prec@1 25.781 (28.158) Prec@5 53.906 (52.640) Epoch: [1][6520/10010] Time 2.067 (0.506) Data 1.933 (0.213) Loss 3.6277 (3.5019) Prec@1 26.562 (28.161) Prec@5 49.219 (52.647) Epoch: [1][6530/10010] Time 0.320 (0.507) Data 0.010 (0.213) Loss 3.4332 (3.5016) Prec@1 32.812 (28.166) Prec@5 55.469 (52.652) Epoch: [1][6540/10010] Time 0.319 (0.507) Data 0.001 (0.214) Loss 3.1453 (3.5013) Prec@1 39.062 (28.171) Prec@5 61.719 (52.659) Epoch: [1][6550/10010] Time 1.056 (0.507) Data 0.916 (0.214) Loss 3.2683 (3.5010) Prec@1 30.469 (28.173) Prec@5 57.812 (52.666) Epoch: [1][6560/10010] Time 0.320 (0.508) Data 0.000 (0.215) Loss 3.1188 (3.5005) Prec@1 32.031 (28.180) Prec@5 57.812 (52.675) Epoch: [1][6570/10010] Time 0.314 (0.508) Data 0.000 (0.216) Loss 3.5500 (3.5004) Prec@1 28.906 (28.183) Prec@5 57.031 (52.677) Epoch: [1][6580/10010] Time 0.317 (0.509) Data 0.000 (0.216) Loss 3.4754 (3.5001) Prec@1 28.125 (28.190) Prec@5 57.031 (52.684) Epoch: [1][6590/10010] Time 0.755 (0.509) Data 0.615 (0.217) Loss 3.5511 (3.4999) Prec@1 30.469 (28.195) Prec@5 54.688 (52.687) Epoch: [1][6600/10010] Time 0.315 (0.510) Data 0.001 (0.217) Loss 3.4946 (3.4997) Prec@1 26.562 (28.199) Prec@5 53.906 (52.693) Epoch: [1][6610/10010] Time 0.321 (0.510) Data 0.006 (0.218) Loss 3.8171 (3.4995) Prec@1 23.438 (28.207) Prec@5 49.219 (52.697) Epoch: [1][6620/10010] Time 0.315 (0.511) Data 0.120 (0.218) Loss 3.0897 (3.4993) Prec@1 32.031 (28.210) Prec@5 63.281 (52.701) Epoch: [1][6630/10010] Time 2.284 (0.512) Data 2.138 (0.219) Loss 3.3956 (3.4990) Prec@1 32.031 (28.216) Prec@5 53.906 (52.706) Epoch: [1][6640/10010] Time 0.315 (0.512) Data 0.001 (0.220) Loss 3.5116 (3.4988) Prec@1 25.781 (28.219) Prec@5 49.219 (52.708) Epoch: [1][6650/10010] Time 0.314 (0.512) Data 0.014 (0.220) Loss 3.1278 (3.4985) Prec@1 28.125 (28.225) Prec@5 60.938 (52.712) Epoch: [1][6660/10010] Time 2.342 (0.513) Data 2.206 (0.221) Loss 3.2767 (3.4983) Prec@1 33.594 (28.230) Prec@5 52.344 (52.718) Epoch: [1][6670/10010] Time 0.433 (0.513) Data 0.302 (0.221) Loss 3.2963 (3.4980) Prec@1 34.375 (28.234) Prec@5 54.688 (52.725) Epoch: [1][6680/10010] Time 2.080 (0.514) Data 1.941 (0.222) Loss 3.0004 (3.4976) Prec@1 33.594 (28.238) Prec@5 68.750 (52.733) Epoch: [1][6690/10010] Time 0.315 (0.515) Data 0.000 (0.223) Loss 3.0525 (3.4973) Prec@1 37.500 (28.242) Prec@5 62.500 (52.738) Epoch: [1][6700/10010] Time 0.404 (0.515) Data 0.269 (0.223) Loss 3.5199 (3.4971) Prec@1 32.031 (28.247) Prec@5 54.688 (52.744) Epoch: [1][6710/10010] Time 0.313 (0.515) Data 0.008 (0.224) Loss 3.1457 (3.4968) Prec@1 35.156 (28.251) Prec@5 57.812 (52.750) Epoch: [1][6720/10010] Time 0.319 (0.516) Data 0.001 (0.224) Loss 3.7046 (3.4966) Prec@1 26.562 (28.255) Prec@5 47.656 (52.757) Epoch: [1][6730/10010] Time 0.315 (0.516) Data 0.000 (0.225) Loss 3.1719 (3.4963) Prec@1 32.812 (28.261) Prec@5 54.688 (52.761) Epoch: [1][6740/10010] Time 0.317 (0.517) Data 0.001 (0.225) Loss 3.5603 (3.4960) Prec@1 30.469 (28.264) Prec@5 51.562 (52.766) Epoch: [1][6750/10010] Time 0.316 (0.517) Data 0.000 (0.226) Loss 3.3759 (3.4957) Prec@1 32.812 (28.270) Prec@5 55.469 (52.771) Epoch: [1][6760/10010] Time 0.316 (0.518) Data 0.001 (0.226) Loss 2.9984 (3.4954) Prec@1 35.938 (28.273) Prec@5 60.156 (52.774) Epoch: [1][6770/10010] Time 1.395 (0.518) Data 1.258 (0.227) Loss 3.1447 (3.4951) Prec@1 28.125 (28.277) Prec@5 61.719 (52.780) Epoch: [1][6780/10010] Time 0.314 (0.519) Data 0.001 (0.227) Loss 3.2383 (3.4950) Prec@1 32.031 (28.279) Prec@5 60.938 (52.784) Epoch: [1][6790/10010] Time 0.318 (0.519) Data 0.000 (0.228) Loss 3.4138 (3.4946) Prec@1 31.250 (28.288) Prec@5 50.781 (52.792) Epoch: [1][6800/10010] Time 0.317 (0.520) Data 0.000 (0.229) Loss 3.5349 (3.4942) Prec@1 25.781 (28.292) Prec@5 46.875 (52.798) Epoch: [1][6810/10010] Time 0.317 (0.520) Data 0.000 (0.229) Loss 3.3417 (3.4942) Prec@1 30.469 (28.296) Prec@5 59.375 (52.800) Epoch: [1][6820/10010] Time 0.318 (0.520) Data 0.001 (0.229) Loss 3.2795 (3.4939) Prec@1 33.594 (28.301) Prec@5 54.688 (52.805) Epoch: [1][6830/10010] Time 2.116 (0.521) Data 1.977 (0.230) Loss 3.3600 (3.4937) Prec@1 28.906 (28.301) Prec@5 53.125 (52.806) Epoch: [1][6840/10010] Time 0.318 (0.521) Data 0.043 (0.231) Loss 3.3052 (3.4933) Prec@1 26.562 (28.305) Prec@5 54.688 (52.811) Epoch: [1][6850/10010] Time 0.319 (0.522) Data 0.000 (0.231) Loss 3.1684 (3.4930) Prec@1 32.031 (28.308) Prec@5 60.156 (52.817) Epoch: [1][6860/10010] Time 0.317 (0.522) Data 0.000 (0.232) Loss 3.4266 (3.4928) Prec@1 27.344 (28.315) Prec@5 57.812 (52.823) Epoch: [1][6870/10010] Time 0.315 (0.523) Data 0.000 (0.232) Loss 3.2847 (3.4925) Prec@1 32.812 (28.317) Prec@5 56.250 (52.827) Epoch: [1][6880/10010] Time 0.317 (0.523) Data 0.001 (0.233) Loss 3.2426 (3.4924) Prec@1 29.688 (28.319) Prec@5 54.688 (52.832) Epoch: [1][6890/10010] Time 0.315 (0.524) Data 0.001 (0.233) Loss 3.3176 (3.4921) Prec@1 30.469 (28.322) Prec@5 56.250 (52.835) Epoch: [1][6900/10010] Time 0.319 (0.524) Data 0.001 (0.234) Loss 3.2956 (3.4920) Prec@1 31.250 (28.323) Prec@5 60.938 (52.839) Epoch: [1][6910/10010] Time 0.328 (0.525) Data 0.198 (0.234) Loss 3.4362 (3.4915) Prec@1 30.469 (28.333) Prec@5 50.781 (52.847) Epoch: [1][6920/10010] Time 0.322 (0.525) Data 0.000 (0.235) Loss 3.6225 (3.4910) Prec@1 26.562 (28.340) Prec@5 50.781 (52.855) Epoch: [1][6930/10010] Time 1.968 (0.526) Data 1.827 (0.235) Loss 2.9731 (3.4906) Prec@1 37.500 (28.348) Prec@5 59.375 (52.863) Epoch: [1][6940/10010] Time 0.315 (0.526) Data 0.000 (0.236) Loss 3.4814 (3.4903) Prec@1 32.812 (28.351) Prec@5 58.594 (52.870) Epoch: [1][6950/10010] Time 0.317 (0.526) Data 0.000 (0.236) Loss 3.2693 (3.4902) Prec@1 29.688 (28.352) Prec@5 53.906 (52.874) Epoch: [1][6960/10010] Time 0.324 (0.526) Data 0.000 (0.237) Loss 3.5439 (3.4899) Prec@1 28.906 (28.357) Prec@5 50.000 (52.878) Epoch: [1][6970/10010] Time 1.553 (0.527) Data 1.414 (0.237) Loss 2.9390 (3.4895) Prec@1 38.281 (28.364) Prec@5 62.500 (52.884) Epoch: [1][6980/10010] Time 0.325 (0.528) Data 0.000 (0.238) Loss 3.6223 (3.4894) Prec@1 29.688 (28.365) Prec@5 53.906 (52.887) Epoch: [1][6990/10010] Time 1.199 (0.528) Data 1.067 (0.238) Loss 3.5857 (3.4893) Prec@1 28.906 (28.367) Prec@5 53.906 (52.889) Epoch: [1][7000/10010] Time 0.609 (0.528) Data 0.470 (0.239) Loss 3.4295 (3.4891) Prec@1 32.031 (28.370) Prec@5 51.562 (52.892) Epoch: [1][7010/10010] Time 0.315 (0.528) Data 0.005 (0.239) Loss 3.3383 (3.4887) Prec@1 30.469 (28.374) Prec@5 52.344 (52.900) Epoch: [1][7020/10010] Time 0.321 (0.529) Data 0.000 (0.239) Loss 3.0980 (3.4884) Prec@1 37.500 (28.376) Prec@5 57.812 (52.903) Epoch: [1][7030/10010] Time 0.313 (0.529) Data 0.001 (0.240) Loss 3.4334 (3.4883) Prec@1 35.156 (28.381) Prec@5 54.688 (52.907) Epoch: [1][7040/10010] Time 0.747 (0.530) Data 0.607 (0.241) Loss 3.3829 (3.4880) Prec@1 28.906 (28.386) Prec@5 50.000 (52.911) Epoch: [1][7050/10010] Time 0.312 (0.530) Data 0.000 (0.241) Loss 3.3865 (3.4877) Prec@1 30.469 (28.391) Prec@5 56.250 (52.917) Epoch: [1][7060/10010] Time 0.317 (0.531) Data 0.001 (0.242) Loss 3.4769 (3.4875) Prec@1 28.125 (28.394) Prec@5 54.688 (52.924) Epoch: [1][7070/10010] Time 0.314 (0.531) Data 0.001 (0.242) Loss 3.2337 (3.4872) Prec@1 38.281 (28.400) Prec@5 54.688 (52.928) Epoch: [1][7080/10010] Time 0.314 (0.531) Data 0.000 (0.242) Loss 3.1809 (3.4870) Prec@1 32.031 (28.403) Prec@5 56.250 (52.931) Epoch: [1][7090/10010] Time 1.352 (0.532) Data 1.214 (0.243) Loss 3.2196 (3.4868) Prec@1 34.375 (28.406) Prec@5 57.031 (52.935) Epoch: [1][7100/10010] Time 2.705 (0.532) Data 2.566 (0.244) Loss 3.2587 (3.4867) Prec@1 34.375 (28.411) Prec@5 60.156 (52.938) Epoch: [1][7110/10010] Time 0.318 (0.533) Data 0.000 (0.244) Loss 3.2512 (3.4865) Prec@1 29.688 (28.413) Prec@5 55.469 (52.941) Epoch: [1][7120/10010] Time 0.311 (0.533) Data 0.000 (0.244) Loss 3.1572 (3.4862) Prec@1 32.031 (28.420) Prec@5 56.250 (52.946) Epoch: [1][7130/10010] Time 3.047 (0.533) Data 2.909 (0.245) Loss 3.5059 (3.4859) Prec@1 24.219 (28.426) Prec@5 48.438 (52.953) Epoch: [1][7140/10010] Time 0.323 (0.534) Data 0.001 (0.245) Loss 3.4669 (3.4858) Prec@1 28.906 (28.428) Prec@5 54.688 (52.956) Epoch: [1][7150/10010] Time 2.473 (0.534) Data 2.341 (0.246) Loss 3.5942 (3.4855) Prec@1 27.344 (28.434) Prec@5 50.781 (52.960) Epoch: [1][7160/10010] Time 0.436 (0.534) Data 0.302 (0.246) Loss 3.2517 (3.4852) Prec@1 32.031 (28.440) Prec@5 58.594 (52.965) Epoch: [1][7170/10010] Time 1.513 (0.535) Data 1.382 (0.246) Loss 3.2663 (3.4848) Prec@1 28.906 (28.445) Prec@5 54.688 (52.973) Epoch: [1][7180/10010] Time 0.314 (0.535) Data 0.000 (0.247) Loss 3.0210 (3.4844) Prec@1 33.594 (28.450) Prec@5 61.719 (52.979) Epoch: [1][7190/10010] Time 0.325 (0.536) Data 0.000 (0.248) Loss 3.0625 (3.4841) Prec@1 32.031 (28.454) Prec@5 63.281 (52.983) Epoch: [1][7200/10010] Time 0.314 (0.536) Data 0.109 (0.247) Loss 3.2837 (3.4839) Prec@1 32.812 (28.458) Prec@5 54.688 (52.988) Epoch: [1][7210/10010] Time 1.070 (0.536) Data 0.933 (0.248) Loss 3.3194 (3.4837) Prec@1 32.031 (28.461) Prec@5 60.938 (52.993) Epoch: [1][7220/10010] Time 0.318 (0.537) Data 0.000 (0.249) Loss 3.4823 (3.4834) Prec@1 28.906 (28.466) Prec@5 51.562 (52.997) Epoch: [1][7230/10010] Time 0.319 (0.537) Data 0.001 (0.249) Loss 3.3517 (3.4832) Prec@1 29.688 (28.472) Prec@5 57.812 (53.004) Epoch: [1][7240/10010] Time 0.316 (0.537) Data 0.000 (0.250) Loss 3.2802 (3.4829) Prec@1 29.688 (28.476) Prec@5 56.250 (53.010) Epoch: [1][7250/10010] Time 0.317 (0.538) Data 0.000 (0.250) Loss 3.2279 (3.4825) Prec@1 30.469 (28.484) Prec@5 61.719 (53.017) Epoch: [1][7260/10010] Time 1.006 (0.538) Data 0.868 (0.250) Loss 3.2400 (3.4822) Prec@1 34.375 (28.489) Prec@5 58.594 (53.022) Epoch: [1][7270/10010] Time 0.987 (0.538) Data 0.844 (0.251) Loss 3.7758 (3.4821) Prec@1 28.125 (28.491) Prec@5 50.781 (53.025) Epoch: [1][7280/10010] Time 0.325 (0.539) Data 0.000 (0.251) Loss 3.5728 (3.4819) Prec@1 28.906 (28.495) Prec@5 46.875 (53.029) Epoch: [1][7290/10010] Time 0.316 (0.539) Data 0.001 (0.252) Loss 3.1986 (3.4817) Prec@1 35.156 (28.496) Prec@5 58.594 (53.034) Epoch: [1][7300/10010] Time 1.148 (0.539) Data 1.016 (0.252) Loss 3.1501 (3.4814) Prec@1 34.375 (28.503) Prec@5 56.250 (53.040) Epoch: [1][7310/10010] Time 0.317 (0.540) Data 0.000 (0.253) Loss 3.4897 (3.4812) Prec@1 27.344 (28.507) Prec@5 56.250 (53.044) Epoch: [1][7320/10010] Time 0.315 (0.540) Data 0.052 (0.253) Loss 3.1241 (3.4807) Prec@1 35.156 (28.513) Prec@5 57.031 (53.051) Epoch: [1][7330/10010] Time 1.958 (0.541) Data 1.817 (0.253) Loss 3.4074 (3.4805) Prec@1 39.062 (28.518) Prec@5 49.219 (53.054) Epoch: [1][7340/10010] Time 0.316 (0.541) Data 0.001 (0.254) Loss 3.4510 (3.4804) Prec@1 25.781 (28.519) Prec@5 53.125 (53.057) Epoch: [1][7350/10010] Time 0.451 (0.541) Data 0.314 (0.254) Loss 3.6038 (3.4802) Prec@1 28.125 (28.522) Prec@5 50.000 (53.061) Epoch: [1][7360/10010] Time 4.085 (0.542) Data 3.944 (0.255) Loss 3.6728 (3.4800) Prec@1 20.312 (28.523) Prec@5 48.438 (53.064) Epoch: [1][7370/10010] Time 2.635 (0.542) Data 2.498 (0.255) Loss 3.1037 (3.4797) Prec@1 38.281 (28.527) Prec@5 57.031 (53.069) Epoch: [1][7380/10010] Time 0.321 (0.543) Data 0.000 (0.256) Loss 3.2391 (3.4794) Prec@1 30.469 (28.530) Prec@5 59.375 (53.076) Epoch: [1][7390/10010] Time 0.316 (0.543) Data 0.008 (0.256) Loss 3.1528 (3.4791) Prec@1 31.250 (28.535) Prec@5 57.031 (53.082) Epoch: [1][7400/10010] Time 0.513 (0.544) Data 0.374 (0.257) Loss 3.3329 (3.4789) Prec@1 29.688 (28.540) Prec@5 57.031 (53.088) Epoch: [1][7410/10010] Time 1.997 (0.544) Data 1.865 (0.258) Loss 3.1648 (3.4786) Prec@1 34.375 (28.543) Prec@5 64.062 (53.094) Epoch: [1][7420/10010] Time 0.330 (0.545) Data 0.000 (0.258) Loss 3.3454 (3.4782) Prec@1 32.031 (28.548) Prec@5 49.219 (53.099) Epoch: [1][7430/10010] Time 0.313 (0.545) Data 0.001 (0.258) Loss 3.1111 (3.4779) Prec@1 35.938 (28.553) Prec@5 59.375 (53.104) Epoch: [1][7440/10010] Time 0.316 (0.545) Data 0.036 (0.259) Loss 3.3703 (3.4778) Prec@1 28.125 (28.555) Prec@5 56.250 (53.105) Epoch: [1][7450/10010] Time 0.317 (0.546) Data 0.001 (0.259) Loss 3.4396 (3.4776) Prec@1 29.688 (28.558) Prec@5 54.688 (53.106) Epoch: [1][7460/10010] Time 0.316 (0.546) Data 0.000 (0.260) Loss 3.6123 (3.4775) Prec@1 27.344 (28.561) Prec@5 53.125 (53.110) Epoch: [1][7470/10010] Time 0.317 (0.547) Data 0.000 (0.260) Loss 3.3343 (3.4771) Prec@1 31.250 (28.568) Prec@5 54.688 (53.115) Epoch: [1][7480/10010] Time 0.310 (0.547) Data 0.036 (0.260) Loss 3.0781 (3.4769) Prec@1 35.938 (28.574) Prec@5 59.375 (53.120) Epoch: [1][7490/10010] Time 0.321 (0.547) Data 0.000 (0.261) Loss 3.2069 (3.4766) Prec@1 37.500 (28.580) Prec@5 58.594 (53.124) Epoch: [1][7500/10010] Time 2.294 (0.547) Data 2.159 (0.261) Loss 3.2459 (3.4764) Prec@1 29.688 (28.583) Prec@5 58.594 (53.127) Epoch: [1][7510/10010] Time 0.322 (0.548) Data 0.001 (0.261) Loss 3.6507 (3.4764) Prec@1 21.875 (28.585) Prec@5 46.094 (53.129) Epoch: [1][7520/10010] Time 0.319 (0.548) Data 0.001 (0.262) Loss 3.5414 (3.4761) Prec@1 24.219 (28.588) Prec@5 52.344 (53.134) Epoch: [1][7530/10010] Time 0.992 (0.548) Data 0.853 (0.262) Loss 3.5951 (3.4759) Prec@1 28.906 (28.593) Prec@5 49.219 (53.138) Epoch: [1][7540/10010] Time 2.440 (0.549) Data 2.303 (0.263) Loss 3.0966 (3.4757) Prec@1 37.500 (28.597) Prec@5 62.500 (53.145) Epoch: [1][7550/10010] Time 0.320 (0.549) Data 0.001 (0.263) Loss 2.9393 (3.4753) Prec@1 34.375 (28.603) Prec@5 59.375 (53.152) Epoch: [1][7560/10010] Time 0.547 (0.549) Data 0.410 (0.263) Loss 3.2340 (3.4749) Prec@1 28.906 (28.608) Prec@5 53.125 (53.158) Epoch: [1][7570/10010] Time 0.310 (0.550) Data 0.001 (0.264) Loss 3.2354 (3.4746) Prec@1 32.812 (28.613) Prec@5 59.375 (53.162) Epoch: [1][7580/10010] Time 0.315 (0.550) Data 0.000 (0.264) Loss 3.1487 (3.4745) Prec@1 37.500 (28.618) Prec@5 59.375 (53.165) Epoch: [1][7590/10010] Time 0.947 (0.550) Data 0.808 (0.264) Loss 3.0572 (3.4742) Prec@1 32.031 (28.622) Prec@5 62.500 (53.170) Epoch: [1][7600/10010] Time 0.439 (0.551) Data 0.295 (0.265) Loss 3.3941 (3.4741) Prec@1 31.250 (28.624) Prec@5 57.812 (53.172) Epoch: [1][7610/10010] Time 0.347 (0.551) Data 0.208 (0.265) Loss 3.3348 (3.4739) Prec@1 25.781 (28.627) Prec@5 56.250 (53.173) Epoch: [1][7620/10010] Time 0.606 (0.552) Data 0.466 (0.266) Loss 3.3500 (3.4734) Prec@1 34.375 (28.634) Prec@5 55.469 (53.181) Epoch: [1][7630/10010] Time 0.317 (0.552) Data 0.000 (0.266) Loss 3.3291 (3.4733) Prec@1 31.250 (28.637) Prec@5 53.125 (53.184) Epoch: [1][7640/10010] Time 0.316 (0.552) Data 0.007 (0.267) Loss 3.3335 (3.4731) Prec@1 39.062 (28.640) Prec@5 53.906 (53.186) Epoch: [1][7650/10010] Time 1.892 (0.553) Data 1.756 (0.267) Loss 3.4468 (3.4729) Prec@1 29.688 (28.643) Prec@5 50.000 (53.189) Epoch: [1][7660/10010] Time 0.339 (0.553) Data 0.193 (0.268) Loss 3.2571 (3.4726) Prec@1 35.156 (28.648) Prec@5 60.938 (53.195) Epoch: [1][7670/10010] Time 0.902 (0.553) Data 0.760 (0.268) Loss 3.3254 (3.4725) Prec@1 28.906 (28.649) Prec@5 54.688 (53.196) Epoch: [1][7680/10010] Time 0.319 (0.554) Data 0.001 (0.268) Loss 3.4320 (3.4723) Prec@1 27.344 (28.652) Prec@5 57.812 (53.202) Epoch: [1][7690/10010] Time 1.775 (0.554) Data 1.640 (0.269) Loss 2.9731 (3.4721) Prec@1 34.375 (28.656) Prec@5 65.625 (53.206) Epoch: [1][7700/10010] Time 2.240 (0.554) Data 2.108 (0.269) Loss 3.0193 (3.4718) Prec@1 33.594 (28.661) Prec@5 67.969 (53.213) Epoch: [1][7710/10010] Time 0.320 (0.555) Data 0.000 (0.269) Loss 3.2486 (3.4716) Prec@1 31.250 (28.664) Prec@5 55.469 (53.216) Epoch: [1][7720/10010] Time 0.316 (0.555) Data 0.001 (0.269) Loss 3.2975 (3.4713) Prec@1 33.594 (28.669) Prec@5 56.250 (53.223) Epoch: [1][7730/10010] Time 1.479 (0.555) Data 1.341 (0.270) Loss 3.3375 (3.4711) Prec@1 28.125 (28.669) Prec@5 57.031 (53.226) Epoch: [1][7740/10010] Time 0.317 (0.555) Data 0.000 (0.270) Loss 3.2370 (3.4710) Prec@1 30.469 (28.672) Prec@5 56.250 (53.227) Epoch: [1][7750/10010] Time 0.319 (0.556) Data 0.000 (0.271) Loss 3.1290 (3.4707) Prec@1 33.594 (28.677) Prec@5 60.938 (53.234) Epoch: [1][7760/10010] Time 1.128 (0.556) Data 0.992 (0.271) Loss 3.4064 (3.4703) Prec@1 34.375 (28.685) Prec@5 60.156 (53.242) Epoch: [1][7770/10010] Time 0.317 (0.556) Data 0.001 (0.271) Loss 3.1183 (3.4702) Prec@1 36.719 (28.686) Prec@5 58.594 (53.244) Epoch: [1][7780/10010] Time 1.099 (0.557) Data 0.959 (0.272) Loss 3.1841 (3.4699) Prec@1 38.281 (28.692) Prec@5 58.594 (53.249) Epoch: [1][7790/10010] Time 5.218 (0.558) Data 5.075 (0.273) Loss 3.0708 (3.4697) Prec@1 31.250 (28.696) Prec@5 58.594 (53.253) Epoch: [1][7800/10010] Time 0.463 (0.558) Data 0.335 (0.273) Loss 3.6054 (3.4694) Prec@1 32.812 (28.702) Prec@5 49.219 (53.258) Epoch: [1][7810/10010] Time 0.318 (0.558) Data 0.001 (0.273) Loss 3.1332 (3.4691) Prec@1 32.031 (28.707) Prec@5 57.031 (53.261) Epoch: [1][7820/10010] Time 2.070 (0.558) Data 1.937 (0.274) Loss 3.4524 (3.4688) Prec@1 27.344 (28.712) Prec@5 53.906 (53.266) Epoch: [1][7830/10010] Time 1.051 (0.558) Data 0.912 (0.274) Loss 3.2721 (3.4686) Prec@1 31.250 (28.714) Prec@5 54.688 (53.268) Epoch: [1][7840/10010] Time 0.315 (0.559) Data 0.001 (0.274) Loss 3.4513 (3.4684) Prec@1 26.562 (28.720) Prec@5 56.250 (53.273) Epoch: [1][7850/10010] Time 0.316 (0.559) Data 0.000 (0.274) Loss 3.5927 (3.4682) Prec@1 32.812 (28.725) Prec@5 51.562 (53.275) Epoch: [1][7860/10010] Time 0.317 (0.559) Data 0.000 (0.275) Loss 3.1271 (3.4680) Prec@1 36.719 (28.729) Prec@5 60.938 (53.281) Epoch: [1][7870/10010] Time 2.758 (0.560) Data 2.618 (0.275) Loss 3.3523 (3.4677) Prec@1 30.469 (28.732) Prec@5 53.125 (53.287) Epoch: [1][7880/10010] Time 0.324 (0.560) Data 0.000 (0.275) Loss 3.2234 (3.4675) Prec@1 28.906 (28.734) Prec@5 58.594 (53.292) Epoch: [1][7890/10010] Time 0.313 (0.560) Data 0.001 (0.276) Loss 3.5407 (3.4674) Prec@1 34.375 (28.736) Prec@5 52.344 (53.295) Epoch: [1][7900/10010] Time 0.315 (0.560) Data 0.000 (0.276) Loss 3.1528 (3.4670) Prec@1 36.719 (28.741) Prec@5 60.938 (53.300) Epoch: [1][7910/10010] Time 0.777 (0.560) Data 0.647 (0.276) Loss 3.1672 (3.4668) Prec@1 29.688 (28.744) Prec@5 61.719 (53.305) Epoch: 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Expecting to read 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [1][8480/10010] Time 0.319 (0.575) Data 0.000 (0.293) Loss 2.8969 (3.4539) Prec@1 31.250 (28.968) Prec@5 66.406 (53.539) Epoch: [1][8490/10010] Time 0.317 (0.575) Data 0.001 (0.294) Loss 3.2769 (3.4537) Prec@1 28.906 (28.971) Prec@5 57.812 (53.545) Epoch: [1][8500/10010] Time 2.048 (0.575) Data 1.899 (0.294) Loss 3.3157 (3.4533) Prec@1 35.938 (28.979) Prec@5 52.344 (53.552) Epoch: [1][8510/10010] Time 0.500 (0.575) Data 0.363 (0.294) Loss 3.4008 (3.4530) Prec@1 34.375 (28.984) Prec@5 53.906 (53.557) Epoch: [1][8520/10010] Time 0.326 (0.576) Data 0.000 (0.295) Loss 3.4359 (3.4528) Prec@1 28.125 (28.988) Prec@5 54.688 (53.560) Epoch: [1][8530/10010] Time 0.319 (0.576) Data 0.000 (0.295) Loss 3.2493 (3.4527) Prec@1 26.562 (28.989) Prec@5 53.125 (53.561) Epoch: [1][8540/10010] Time 1.373 (0.576) Data 1.231 (0.295) Loss 3.1670 (3.4524) Prec@1 37.500 (28.993) Prec@5 57.031 (53.567) Epoch: [1][8550/10010] Time 1.221 (0.576) Data 1.083 (0.295) Loss 3.4081 (3.4520) Prec@1 35.156 (29.000) Prec@5 53.906 (53.574) Epoch: [1][8560/10010] Time 0.315 (0.576) Data 0.080 (0.295) Loss 3.0616 (3.4518) Prec@1 36.719 (29.005) Prec@5 56.250 (53.576) Epoch: [1][8570/10010] Time 0.319 (0.577) Data 0.001 (0.296) Loss 2.8187 (3.4515) Prec@1 35.156 (29.009) Prec@5 70.312 (53.582) Epoch: [1][8580/10010] Time 0.321 (0.577) Data 0.000 (0.296) Loss 3.0067 (3.4512) Prec@1 40.625 (29.015) Prec@5 64.844 (53.586) Epoch: [1][8590/10010] Time 0.317 (0.577) Data 0.000 (0.296) Loss 2.9472 (3.4510) Prec@1 34.375 (29.017) Prec@5 62.500 (53.590) Epoch: [1][8600/10010] Time 0.310 (0.577) Data 0.000 (0.297) Loss 3.3011 (3.4508) Prec@1 34.375 (29.024) Prec@5 54.688 (53.594) Epoch: [1][8610/10010] Time 2.683 (0.578) Data 2.547 (0.297) Loss 3.5840 (3.4505) Prec@1 23.438 (29.029) Prec@5 54.688 (53.602) Epoch: [1][8620/10010] Time 0.962 (0.578) Data 0.824 (0.297) Loss 3.1078 (3.4503) Prec@1 40.625 (29.032) Prec@5 57.812 (53.605) Epoch: [1][8630/10010] Time 0.316 (0.578) Data 0.000 (0.297) Loss 3.4036 (3.4502) Prec@1 29.688 (29.034) Prec@5 57.031 (53.610) Epoch: [1][8640/10010] Time 1.949 (0.578) Data 1.820 (0.298) Loss 3.0372 (3.4499) Prec@1 31.250 (29.038) Prec@5 59.375 (53.617) Epoch: [1][8650/10010] Time 0.317 (0.578) Data 0.047 (0.298) Loss 3.3279 (3.4496) Prec@1 32.031 (29.043) Prec@5 55.469 (53.621) Epoch: [1][8660/10010] Time 0.325 (0.579) Data 0.001 (0.298) Loss 3.1552 (3.4494) Prec@1 35.156 (29.048) Prec@5 59.375 (53.624) Epoch: [1][8670/10010] Time 0.322 (0.579) Data 0.001 (0.298) Loss 2.7803 (3.4492) Prec@1 39.062 (29.052) Prec@5 70.312 (53.629) Epoch: [1][8680/10010] Time 0.318 (0.579) Data 0.000 (0.299) Loss 2.8153 (3.4490) Prec@1 39.844 (29.058) Prec@5 66.406 (53.633) Epoch: [1][8690/10010] Time 0.314 (0.579) Data 0.000 (0.299) Loss 3.4683 (3.4488) Prec@1 30.469 (29.062) Prec@5 50.000 (53.636) Epoch: [1][8700/10010] Time 1.253 (0.580) Data 1.116 (0.299) Loss 3.3467 (3.4486) Prec@1 35.156 (29.067) Prec@5 56.250 (53.640) /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: [1][8710/10010] Time 0.695 (0.580) Data 0.434 (0.299) Loss 3.2109 (3.4483) Prec@1 30.469 (29.068) Prec@5 55.469 (53.644) Epoch: [1][8720/10010] Time 1.084 (0.580) Data 0.956 (0.300) Loss 3.5170 (3.4482) Prec@1 31.250 (29.071) Prec@5 50.000 (53.646) Epoch: [1][8730/10010] Time 0.316 (0.580) Data 0.000 (0.300) Loss 3.4094 (3.4480) Prec@1 29.688 (29.073) Prec@5 54.688 (53.649) Epoch: [1][8740/10010] Time 0.677 (0.580) Data 0.539 (0.300) Loss 3.1804 (3.4478) Prec@1 31.250 (29.077) Prec@5 60.156 (53.654) Epoch: [1][8750/10010] Time 0.389 (0.581) Data 0.249 (0.300) Loss 3.6335 (3.4475) Prec@1 25.000 (29.081) Prec@5 53.125 (53.658) Epoch: [1][8760/10010] Time 2.730 (0.581) Data 2.597 (0.301) Loss 3.4290 (3.4473) Prec@1 28.906 (29.084) Prec@5 57.031 (53.661) Epoch: [1][8770/10010] Time 0.316 (0.581) Data 0.000 (0.301) Loss 3.3774 (3.4472) Prec@1 32.031 (29.087) Prec@5 55.469 (53.664) Epoch: [1][8780/10010] Time 0.310 (0.582) Data 0.001 (0.301) Loss 3.0725 (3.4470) Prec@1 37.500 (29.090) Prec@5 60.156 (53.669) Epoch: [1][8790/10010] Time 2.709 (0.582) Data 2.568 (0.302) Loss 3.3681 (3.4468) Prec@1 32.031 (29.094) Prec@5 53.906 (53.672) Epoch: [1][8800/10010] Time 2.655 (0.582) Data 2.515 (0.302) Loss 3.1973 (3.4465) Prec@1 30.469 (29.098) Prec@5 59.375 (53.677) Epoch: [1][8810/10010] Time 0.449 (0.582) Data 0.311 (0.302) Loss 3.1091 (3.4464) Prec@1 34.375 (29.101) Prec@5 55.469 (53.679) Epoch: [1][8820/10010] Time 0.315 (0.583) Data 0.001 (0.303) Loss 3.3963 (3.4462) Prec@1 31.250 (29.105) Prec@5 54.688 (53.683) Epoch: [1][8830/10010] Time 4.368 (0.583) Data 4.217 (0.303) Loss 2.9046 (3.4459) Prec@1 36.719 (29.108) Prec@5 62.500 (53.686) Epoch: [1][8840/10010] Time 1.053 (0.583) Data 0.919 (0.303) Loss 2.9961 (3.4455) Prec@1 31.250 (29.113) Prec@5 60.156 (53.692) Epoch: [1][8850/10010] Time 1.314 (0.583) Data 1.175 (0.303) Loss 3.1440 (3.4453) Prec@1 34.375 (29.118) Prec@5 56.250 (53.697) Epoch: [1][8860/10010] Time 0.313 (0.583) Data 0.000 (0.304) Loss 3.2972 (3.4450) Prec@1 29.688 (29.122) Prec@5 57.812 (53.703) Epoch: [1][8870/10010] Time 0.320 (0.584) Data 0.001 (0.304) Loss 3.2160 (3.4448) Prec@1 31.250 (29.125) Prec@5 59.375 (53.707) Epoch: [1][8880/10010] Time 1.426 (0.584) Data 1.288 (0.304) Loss 3.2837 (3.4447) Prec@1 33.594 (29.127) Prec@5 56.250 (53.709) Epoch: [1][8890/10010] Time 1.117 (0.584) Data 0.982 (0.304) Loss 3.2508 (3.4444) Prec@1 32.812 (29.133) Prec@5 59.375 (53.715) Epoch: [1][8900/10010] Time 2.644 (0.585) Data 2.511 (0.305) Loss 3.0276 (3.4441) Prec@1 32.812 (29.139) Prec@5 57.031 (53.720) Epoch: [1][8910/10010] Time 0.317 (0.584) Data 0.001 (0.305) Loss 3.4725 (3.4438) Prec@1 28.906 (29.143) Prec@5 57.812 (53.724) Epoch: [1][8920/10010] Time 2.950 (0.585) Data 2.816 (0.305) Loss 3.3672 (3.4436) Prec@1 30.469 (29.147) Prec@5 53.906 (53.726) Epoch: [1][8930/10010] Time 0.316 (0.585) Data 0.000 (0.305) Loss 2.8987 (3.4434) Prec@1 37.500 (29.149) Prec@5 66.406 (53.732) Epoch: [1][8940/10010] Time 0.375 (0.585) Data 0.239 (0.305) Loss 3.1221 (3.4431) Prec@1 32.031 (29.154) Prec@5 60.156 (53.739) Epoch: [1][8950/10010] Time 0.317 (0.585) Data 0.001 (0.306) Loss 3.1666 (3.4427) Prec@1 32.812 (29.159) Prec@5 53.906 (53.745) Epoch: [1][8960/10010] Time 0.452 (0.585) Data 0.322 (0.306) Loss 3.3812 (3.4424) Prec@1 31.250 (29.162) Prec@5 57.031 (53.749) Epoch: [1][8970/10010] Time 1.923 (0.586) Data 1.783 (0.306) Loss 3.3692 (3.4422) Prec@1 32.031 (29.167) Prec@5 54.688 (53.753) Epoch: [1][8980/10010] Time 0.816 (0.586) Data 0.676 (0.306) Loss 3.6457 (3.4420) Prec@1 27.344 (29.169) Prec@5 50.781 (53.757) Epoch: [1][8990/10010] Time 0.315 (0.586) Data 0.000 (0.307) Loss 3.4743 (3.4419) Prec@1 31.250 (29.172) Prec@5 50.000 (53.760) Epoch: [1][9000/10010] Time 0.317 (0.586) Data 0.017 (0.307) Loss 3.6527 (3.4416) Prec@1 28.906 (29.177) Prec@5 50.781 (53.765) Epoch: [1][9010/10010] Time 0.315 (0.586) Data 0.000 (0.307) Loss 3.0952 (3.4414) Prec@1 39.844 (29.182) Prec@5 61.719 (53.770) /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: [1][9020/10010] Time 2.597 (0.587) Data 2.452 (0.307) Loss 3.3525 (3.4411) Prec@1 28.125 (29.186) Prec@5 56.250 (53.777) Epoch: [1][9030/10010] Time 2.122 (0.587) Data 1.977 (0.308) Loss 3.0204 (3.4408) Prec@1 30.469 (29.190) Prec@5 59.375 (53.782) Epoch: [1][9040/10010] Time 0.329 (0.587) Data 0.001 (0.308) Loss 3.3431 (3.4405) Prec@1 29.688 (29.195) Prec@5 57.031 (53.788) Epoch: [1][9050/10010] Time 0.320 (0.587) Data 0.001 (0.308) Loss 3.1001 (3.4403) Prec@1 32.031 (29.197) Prec@5 62.500 (53.792) Epoch: [1][9060/10010] Time 1.233 (0.587) Data 1.098 (0.308) Loss 3.6339 (3.4401) Prec@1 27.344 (29.199) Prec@5 50.000 (53.796) Epoch: [1][9070/10010] Time 0.316 (0.588) Data 0.001 (0.308) Loss 3.4391 (3.4400) Prec@1 28.125 (29.200) Prec@5 48.438 (53.799) Epoch: [1][9080/10010] Time 0.376 (0.588) Data 0.235 (0.308) Loss 3.0269 (3.4399) Prec@1 39.844 (29.201) Prec@5 61.719 (53.799) Epoch: [1][9090/10010] Time 0.891 (0.588) Data 0.761 (0.309) Loss 3.3014 (3.4396) Prec@1 36.719 (29.206) Prec@5 57.031 (53.804) Epoch: [1][9100/10010] Time 0.825 (0.588) Data 0.686 (0.309) Loss 3.5097 (3.4394) Prec@1 32.031 (29.208) Prec@5 58.594 (53.807) Epoch: [1][9110/10010] Time 0.365 (0.588) Data 0.232 (0.309) Loss 3.3471 (3.4392) Prec@1 31.250 (29.213) Prec@5 54.688 (53.811) Epoch: [1][9120/10010] Time 0.316 (0.588) Data 0.001 (0.310) Loss 3.5515 (3.4392) Prec@1 25.000 (29.214) Prec@5 53.906 (53.812) Epoch: [1][9130/10010] Time 0.322 (0.588) Data 0.000 (0.310) Loss 3.5738 (3.4391) Prec@1 25.000 (29.216) Prec@5 49.219 (53.815) Epoch: [1][9140/10010] Time 1.162 (0.589) Data 1.029 (0.310) Loss 3.2593 (3.4389) Prec@1 29.688 (29.219) Prec@5 57.031 (53.817) Epoch: [1][9150/10010] Time 2.326 (0.589) Data 2.185 (0.310) Loss 3.2585 (3.4386) Prec@1 30.469 (29.222) Prec@5 58.594 (53.822) Epoch: [1][9160/10010] Time 0.897 (0.589) Data 0.759 (0.311) Loss 2.7943 (3.4384) Prec@1 35.156 (29.223) Prec@5 65.625 (53.827) Epoch: [1][9170/10010] Time 0.315 (0.589) Data 0.000 (0.311) Loss 2.9971 (3.4382) Prec@1 35.156 (29.224) Prec@5 62.500 (53.831) Epoch: [1][9180/10010] Time 0.619 (0.589) Data 0.489 (0.311) Loss 2.9867 (3.4380) Prec@1 35.938 (29.228) Prec@5 64.062 (53.836) Epoch: [1][9190/10010] Time 0.316 (0.590) Data 0.000 (0.311) Loss 3.3025 (3.4379) Prec@1 34.375 (29.232) Prec@5 55.469 (53.838) Epoch: [1][9200/10010] Time 0.323 (0.590) Data 0.001 (0.311) Loss 3.4284 (3.4378) Prec@1 26.562 (29.232) Prec@5 57.031 (53.841) Epoch: [1][9210/10010] Time 0.320 (0.590) Data 0.001 (0.312) Loss 3.2906 (3.4376) Prec@1 30.469 (29.234) Prec@5 55.469 (53.845) Epoch: [1][9220/10010] Time 0.321 (0.590) Data 0.000 (0.312) Loss 3.1923 (3.4374) Prec@1 32.812 (29.238) Prec@5 51.562 (53.848) Epoch: [1][9230/10010] Time 2.258 (0.590) Data 2.126 (0.312) Loss 3.7664 (3.4373) Prec@1 24.219 (29.240) Prec@5 44.531 (53.848) Epoch: [1][9240/10010] Time 0.561 (0.590) Data 0.423 (0.312) Loss 3.2151 (3.4370) Prec@1 33.594 (29.245) Prec@5 55.469 (53.853) Epoch: [1][9250/10010] Time 0.326 (0.591) Data 0.001 (0.312) Loss 2.8972 (3.4370) Prec@1 33.594 (29.245) Prec@5 62.500 (53.854) Epoch: [1][9260/10010] Time 0.318 (0.591) Data 0.001 (0.313) Loss 3.2197 (3.4368) Prec@1 33.594 (29.249) Prec@5 57.812 (53.857) Epoch: [1][9270/10010] Time 1.754 (0.591) Data 1.613 (0.313) Loss 3.0056 (3.4366) Prec@1 33.594 (29.253) Prec@5 63.281 (53.860) Epoch: [1][9280/10010] Time 1.506 (0.591) Data 1.366 (0.313) Loss 3.3954 (3.4363) Prec@1 32.812 (29.259) Prec@5 57.812 (53.867) Epoch: [1][9290/10010] Time 0.320 (0.591) Data 0.000 (0.313) Loss 3.5233 (3.4361) Prec@1 27.344 (29.263) Prec@5 52.344 (53.871) Epoch: [1][9300/10010] Time 1.998 (0.591) Data 1.864 (0.314) Loss 3.6668 (3.4360) Prec@1 26.562 (29.266) Prec@5 46.094 (53.875) Epoch: [1][9310/10010] Time 0.317 (0.592) Data 0.000 (0.314) Loss 2.8953 (3.4357) Prec@1 31.250 (29.270) Prec@5 63.281 (53.880) Epoch: [1][9320/10010] Time 3.248 (0.592) Data 3.104 (0.314) Loss 3.0593 (3.4353) Prec@1 35.156 (29.277) Prec@5 61.719 (53.886) Epoch: [1][9330/10010] Time 1.533 (0.592) Data 1.395 (0.314) Loss 3.1940 (3.4351) Prec@1 34.375 (29.280) Prec@5 54.688 (53.890) Epoch: [1][9340/10010] Time 0.318 (0.592) Data 0.000 (0.315) Loss 3.1505 (3.4349) Prec@1 37.500 (29.282) Prec@5 60.938 (53.893) /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: [1][9350/10010] Time 0.313 (0.592) Data 0.001 (0.315) Loss 3.4734 (3.4349) Prec@1 26.562 (29.284) Prec@5 53.125 (53.894) Epoch: [1][9360/10010] Time 1.569 (0.593) Data 1.438 (0.315) Loss 3.2997 (3.4347) Prec@1 28.906 (29.286) Prec@5 59.375 (53.897) Epoch: [1][9370/10010] Time 1.116 (0.593) Data 0.971 (0.315) Loss 3.2350 (3.4344) Prec@1 32.031 (29.292) Prec@5 56.250 (53.903) Epoch: [1][9380/10010] Time 2.034 (0.593) Data 1.883 (0.315) Loss 3.3233 (3.4343) Prec@1 32.031 (29.294) Prec@5 55.469 (53.907) Epoch: [1][9390/10010] Time 0.316 (0.593) Data 0.000 (0.316) Loss 3.4383 (3.4340) Prec@1 31.250 (29.298) Prec@5 53.125 (53.911) Epoch: [1][9400/10010] Time 0.322 (0.593) Data 0.000 (0.316) Loss 3.3795 (3.4339) Prec@1 29.688 (29.300) Prec@5 53.906 (53.912) Epoch: [1][9410/10010] Time 0.315 (0.593) Data 0.001 (0.316) Loss 3.4298 (3.4337) Prec@1 26.562 (29.301) Prec@5 50.781 (53.916) Epoch: [1][9420/10010] Time 0.318 (0.594) Data 0.000 (0.316) Loss 2.8568 (3.4334) Prec@1 38.281 (29.306) Prec@5 61.719 (53.922) Epoch: [1][9430/10010] Time 0.318 (0.594) Data 0.013 (0.316) Loss 3.2820 (3.4331) Prec@1 38.281 (29.313) Prec@5 57.812 (53.928) Epoch: [1][9440/10010] Time 0.316 (0.594) Data 0.000 (0.316) Loss 3.4936 (3.4330) Prec@1 30.469 (29.314) Prec@5 52.344 (53.932) Epoch: [1][9450/10010] Time 0.318 (0.594) Data 0.008 (0.316) Loss 3.2373 (3.4327) Prec@1 33.594 (29.317) Prec@5 61.719 (53.937) Epoch: [1][9460/10010] Time 0.910 (0.594) Data 0.764 (0.317) Loss 3.4051 (3.4324) Prec@1 28.906 (29.322) Prec@5 56.250 (53.942) Epoch: [1][9470/10010] Time 0.323 (0.594) Data 0.187 (0.317) Loss 3.4150 (3.4322) Prec@1 26.562 (29.326) Prec@5 57.031 (53.947) Epoch: [1][9480/10010] Time 0.324 (0.594) Data 0.000 (0.317) Loss 3.0871 (3.4321) Prec@1 41.406 (29.330) Prec@5 64.844 (53.950) Epoch: [1][9490/10010] Time 0.723 (0.594) Data 0.584 (0.317) Loss 3.2465 (3.4318) Prec@1 33.594 (29.332) Prec@5 56.250 (53.952) Epoch: [1][9500/10010] Time 0.321 (0.595) Data 0.000 (0.318) Loss 3.2755 (3.4315) Prec@1 31.250 (29.339) Prec@5 57.812 (53.959) Epoch: [1][9510/10010] Time 0.321 (0.595) Data 0.001 (0.318) Loss 3.2956 (3.4313) Prec@1 32.812 (29.342) Prec@5 57.031 (53.963) Epoch: [1][9520/10010] Time 0.319 (0.595) Data 0.003 (0.318) Loss 3.0815 (3.4310) Prec@1 32.031 (29.346) Prec@5 57.812 (53.968) Epoch: [1][9530/10010] Time 0.322 (0.595) Data 0.000 (0.318) Loss 3.6173 (3.4309) Prec@1 24.219 (29.348) Prec@5 52.344 (53.971) Epoch: [1][9540/10010] Time 0.319 (0.595) Data 0.089 (0.318) Loss 2.9615 (3.4306) Prec@1 36.719 (29.353) Prec@5 57.031 (53.975) Epoch: [1][9550/10010] Time 0.314 (0.595) Data 0.001 (0.318) Loss 2.9264 (3.4304) Prec@1 35.938 (29.356) Prec@5 59.375 (53.978) Epoch: [1][9560/10010] Time 2.084 (0.595) Data 1.951 (0.318) Loss 3.3116 (3.4303) Prec@1 36.719 (29.359) Prec@5 57.031 (53.979) Epoch: [1][9570/10010] Time 0.314 (0.595) Data 0.000 (0.318) Loss 3.2570 (3.4301) Prec@1 34.375 (29.362) Prec@5 60.156 (53.983) Epoch: [1][9580/10010] Time 1.230 (0.596) Data 1.089 (0.319) Loss 3.1387 (3.4299) Prec@1 35.156 (29.366) Prec@5 59.375 (53.987) Epoch: [1][9590/10010] Time 0.318 (0.596) Data 0.000 (0.319) Loss 2.9592 (3.4296) Prec@1 33.594 (29.370) Prec@5 62.500 (53.993) Epoch: [1][9600/10010] Time 0.317 (0.596) Data 0.000 (0.319) Loss 3.2546 (3.4294) Prec@1 32.812 (29.374) Prec@5 53.906 (53.995) Epoch: [1][9610/10010] Time 0.314 (0.596) Data 0.126 (0.319) Loss 3.1996 (3.4292) Prec@1 31.250 (29.375) Prec@5 59.375 (53.999) Epoch: [1][9620/10010] Time 0.316 (0.597) Data 0.000 (0.320) Loss 3.4117 (3.4291) Prec@1 30.469 (29.377) Prec@5 51.562 (54.001) Epoch: [1][9630/10010] Time 0.617 (0.597) Data 0.478 (0.320) Loss 3.2449 (3.4288) Prec@1 32.812 (29.381) Prec@5 53.906 (54.007) Epoch: [1][9640/10010] Time 0.831 (0.597) Data 0.698 (0.320) Loss 3.3334 (3.4286) Prec@1 35.156 (29.383) Prec@5 57.031 (54.011) Epoch: [1][9650/10010] Time 0.322 (0.597) Data 0.001 (0.321) Loss 3.5382 (3.4284) Prec@1 32.812 (29.386) Prec@5 57.031 (54.015) Epoch: [1][9660/10010] Time 0.321 (0.597) Data 0.001 (0.320) Loss 2.8035 (3.4282) Prec@1 39.844 (29.390) Prec@5 71.875 (54.020) Epoch: [1][9670/10010] Time 1.263 (0.597) Data 1.130 (0.321) Loss 3.3019 (3.4278) Prec@1 27.344 (29.394) Prec@5 59.375 (54.026) Epoch: [1][9680/10010] Time 1.043 (0.597) Data 0.905 (0.321) Loss 3.4583 (3.4276) Prec@1 25.781 (29.397) Prec@5 53.906 (54.029) Epoch: [1][9690/10010] Time 0.318 (0.598) Data 0.000 (0.321) Loss 3.4584 (3.4275) Prec@1 32.031 (29.400) Prec@5 53.125 (54.033) Epoch: [1][9700/10010] Time 0.317 (0.598) Data 0.001 (0.321) Loss 3.1740 (3.4272) Prec@1 30.469 (29.405) Prec@5 59.375 (54.036) Epoch: [1][9710/10010] Time 3.873 (0.598) Data 3.733 (0.322) Loss 3.4726 (3.4270) Prec@1 27.344 (29.408) Prec@5 55.469 (54.040) Epoch: [1][9720/10010] Time 0.319 (0.598) Data 0.000 (0.322) Loss 3.7908 (3.4268) Prec@1 26.562 (29.411) Prec@5 48.438 (54.044) Epoch: [1][9730/10010] Time 1.597 (0.598) Data 1.340 (0.322) Loss 3.4783 (3.4269) Prec@1 32.812 (29.409) Prec@5 50.781 (54.044) Epoch: [1][9740/10010] Time 0.317 (0.598) Data 0.000 (0.322) Loss 3.1951 (3.4267) Prec@1 38.281 (29.410) Prec@5 58.594 (54.046) Epoch: [1][9750/10010] Time 0.318 (0.598) Data 0.000 (0.322) Loss 3.3636 (3.4266) Prec@1 28.906 (29.413) Prec@5 57.812 (54.049) Epoch: [1][9760/10010] Time 0.323 (0.599) Data 0.001 (0.322) Loss 3.1087 (3.4264) Prec@1 32.812 (29.414) Prec@5 57.812 (54.052) Epoch: [1][9770/10010] Time 1.745 (0.599) Data 1.606 (0.322) Loss 3.1696 (3.4263) Prec@1 35.938 (29.416) Prec@5 60.156 (54.055) Epoch: [1][9780/10010] Time 1.091 (0.599) Data 0.951 (0.322) Loss 3.0561 (3.4260) Prec@1 33.594 (29.421) Prec@5 56.250 (54.060) Epoch: [1][9790/10010] Time 0.324 (0.599) Data 0.000 (0.322) Loss 3.3922 (3.4258) Prec@1 33.594 (29.425) Prec@5 54.688 (54.061) Epoch: [1][9800/10010] Time 0.317 (0.599) Data 0.000 (0.323) Loss 3.2723 (3.4256) Prec@1 36.719 (29.429) Prec@5 57.031 (54.065) Epoch: [1][9810/10010] Time 2.725 (0.599) Data 2.587 (0.323) Loss 3.4086 (3.4254) Prec@1 25.781 (29.431) Prec@5 54.688 (54.070) Epoch: [1][9820/10010] Time 0.314 (0.599) Data 0.001 (0.323) Loss 3.8907 (3.4254) Prec@1 21.094 (29.434) Prec@5 47.656 (54.070) Epoch: [1][9830/10010] Time 4.086 (0.600) Data 3.945 (0.324) Loss 3.1551 (3.4252) Prec@1 32.031 (29.437) Prec@5 54.688 (54.073) Epoch: [1][9840/10010] Time 0.315 (0.600) Data 0.001 (0.323) Loss 3.3022 (3.4250) Prec@1 29.688 (29.441) Prec@5 57.812 (54.078) Epoch: [1][9850/10010] Time 0.315 (0.600) Data 0.000 (0.324) Loss 3.1951 (3.4248) Prec@1 33.594 (29.443) Prec@5 57.031 (54.081) Epoch: [1][9860/10010] Time 0.317 (0.600) Data 0.000 (0.324) Loss 3.4375 (3.4248) Prec@1 25.781 (29.444) Prec@5 54.688 (54.080) Epoch: [1][9870/10010] Time 0.852 (0.600) Data 0.691 (0.324) Loss 3.2046 (3.4246) Prec@1 30.469 (29.447) Prec@5 59.375 (54.084) Epoch: [1][9880/10010] Time 0.317 (0.600) Data 0.000 (0.324) Loss 2.9146 (3.4242) Prec@1 35.156 (29.451) Prec@5 64.062 (54.091) Epoch: [1][9890/10010] Time 0.316 (0.600) Data 0.081 (0.324) Loss 2.8108 (3.4240) Prec@1 39.062 (29.456) Prec@5 65.625 (54.095) Epoch: [1][9900/10010] Time 2.519 (0.601) Data 2.376 (0.325) Loss 3.0291 (3.4236) Prec@1 35.938 (29.462) Prec@5 64.844 (54.102) Epoch: [1][9910/10010] Time 0.317 (0.601) Data 0.001 (0.325) Loss 2.9745 (3.4234) Prec@1 39.062 (29.467) Prec@5 61.719 (54.106) Epoch: [1][9920/10010] Time 0.936 (0.601) Data 0.797 (0.325) Loss 3.4312 (3.4231) Prec@1 32.812 (29.472) Prec@5 53.125 (54.110) Epoch: [1][9930/10010] Time 1.571 (0.601) Data 1.431 (0.325) Loss 3.2703 (3.4230) Prec@1 32.031 (29.474) Prec@5 60.938 (54.114) Epoch: [1][9940/10010] Time 0.321 (0.601) Data 0.108 (0.325) Loss 2.9111 (3.4229) Prec@1 39.062 (29.477) Prec@5 64.844 (54.116) Epoch: [1][9950/10010] Time 0.321 (0.601) Data 0.001 (0.325) Loss 3.2557 (3.4227) Prec@1 34.375 (29.480) Prec@5 57.031 (54.119) Epoch: [1][9960/10010] Time 1.748 (0.601) Data 1.609 (0.326) Loss 3.5810 (3.4225) Prec@1 28.906 (29.483) Prec@5 47.656 (54.123) Epoch: [1][9970/10010] Time 0.310 (0.601) Data 0.134 (0.326) Loss 3.4850 (3.4224) Prec@1 28.125 (29.488) Prec@5 52.344 (54.126) Epoch: [1][9980/10010] Time 1.340 (0.601) Data 1.201 (0.326) Loss 3.2763 (3.4222) Prec@1 32.812 (29.489) Prec@5 57.812 (54.130) Epoch: [1][9990/10010] Time 0.849 (0.601) Data 0.717 (0.326) Loss 3.4984 (3.4220) Prec@1 28.906 (29.492) Prec@5 52.344 (54.134) Epoch: [1][10000/10010] Time 0.698 (0.602) Data 0.557 (0.326) Loss 3.1655 (3.4218) Prec@1 35.156 (29.496) Prec@5 60.938 (54.138) Test: [0/391] Time 8.834 (8.834) Loss 2.3000 (2.3000) Prec@1 46.875 (46.875) Prec@5 75.781 (75.781) Test: [10/391] Time 0.099 (1.270) Loss 3.7717 (2.3782) Prec@1 32.031 (46.591) Prec@5 55.469 (72.869) Test: [20/391] Time 0.099 (1.009) Loss 3.3374 (2.8069) Prec@1 36.719 (38.839) Prec@5 59.375 (65.625) Test: [30/391] Time 0.454 (0.905) Loss 3.4298 (3.0337) Prec@1 33.594 (35.761) Prec@5 58.594 (61.920) Test: [40/391] Time 0.586 (0.912) Loss 3.4615 (2.7918) Prec@1 35.938 (40.244) Prec@5 50.000 (65.377) Test: [50/391] Time 0.106 (0.936) Loss 2.1462 (2.8574) Prec@1 40.625 (39.354) Prec@5 75.000 (64.476) Test: [60/391] Time 0.147 (0.883) Loss 2.4524 (2.7334) Prec@1 39.062 (40.984) Prec@5 68.750 (66.432) Test: [70/391] Time 0.383 (0.873) Loss 3.2703 (2.8274) Prec@1 14.844 (38.006) Prec@5 53.906 (64.712) Test: [80/391] Time 0.097 (0.871) Loss 2.4946 (2.8738) Prec@1 42.969 (35.928) Prec@5 72.656 (63.899) Test: [90/391] Time 0.105 (0.878) Loss 2.8509 (2.8769) Prec@1 34.375 (35.525) Prec@5 64.844 (63.874) Test: [100/391] Time 0.100 (0.868) Loss 2.5198 (2.8341) Prec@1 32.031 (35.945) Prec@5 75.000 (64.743) Test: [110/391] Time 0.269 (0.834) Loss 2.3541 (2.8327) Prec@1 46.875 (35.529) Prec@5 78.125 (64.794) Test: [120/391] Time 0.100 (0.834) Loss 2.3593 (2.7957) Prec@1 42.969 (36.312) Prec@5 72.656 (65.496) Test: [130/391] Time 4.301 (0.859) Loss 2.5789 (2.7926) Prec@1 39.844 (36.546) Prec@5 69.531 (65.506) Test: [140/391] Time 0.109 (0.842) Loss 3.3083 (2.8126) Prec@1 26.562 (36.137) Prec@5 57.031 (65.204) Test: [150/391] Time 0.099 (0.829) Loss 1.6639 (2.8003) Prec@1 57.031 (36.403) Prec@5 85.938 (65.382) Test: [160/391] Time 0.579 (0.814) Loss 3.3841 (2.7922) Prec@1 23.438 (36.709) Prec@5 53.906 (65.543) Test: [170/391] Time 0.603 (0.805) Loss 4.5427 (2.8517) Prec@1 10.156 (36.038) Prec@5 36.719 (64.574) Test: [180/391] Time 1.302 (0.811) Loss 4.2321 (2.8892) Prec@1 20.312 (35.566) Prec@5 39.844 (63.886) Test: [190/391] Time 1.869 (0.807) Loss 3.4862 (2.9189) Prec@1 25.781 (35.271) Prec@5 60.938 (63.355) Test: [200/391] Time 0.098 (0.795) Loss 3.5950 (2.9619) Prec@1 23.438 (34.733) Prec@5 45.312 (62.586) Test: [210/391] Time 1.241 (0.789) Loss 2.8666 (2.9788) Prec@1 40.625 (34.505) Prec@5 60.938 (62.326) Test: [220/391] Time 0.538 (0.788) Loss 1.9905 (2.9802) Prec@1 59.375 (34.630) Prec@5 75.000 (62.185) Test: [230/391] Time 0.098 (0.787) Loss 3.3569 (2.9903) Prec@1 21.875 (34.517) Prec@5 60.156 (61.996) Test: [240/391] Time 0.096 (0.775) Loss 3.9226 (3.0146) Prec@1 21.094 (34.219) Prec@5 42.969 (61.537) Test: [250/391] Time 3.327 (0.783) Loss 3.0139 (3.0331) Prec@1 37.500 (34.076) Prec@5 57.031 (61.277) Test: [260/391] Time 0.099 (0.774) Loss 3.6833 (3.0434) Prec@1 25.000 (33.827) Prec@5 53.906 (61.183) Test: [270/391] Time 0.097 (0.767) Loss 3.2200 (3.0501) Prec@1 27.344 (33.706) Prec@5 58.594 (61.053) Test: [280/391] Time 0.770 (0.768) Loss 3.1260 (3.0664) Prec@1 25.000 (33.555) Prec@5 59.375 (60.793) Test: [290/391] Time 0.096 (0.768) Loss 2.7958 (3.0796) Prec@1 32.031 (33.417) Prec@5 71.875 (60.605) Test: [300/391] Time 0.103 (0.767) Loss 3.3100 (3.0939) Prec@1 33.594 (33.207) Prec@5 65.625 (60.434) Test: [310/391] Time 0.840 (0.762) Loss 3.8960 (3.1039) Prec@1 24.219 (33.076) Prec@5 46.875 (60.181) Test: [320/391] Time 1.681 (0.764) Loss 2.4172 (3.1013) Prec@1 46.094 (33.199) Prec@5 71.875 (60.193) Test: [330/391] Time 0.492 (0.760) Loss 3.8512 (3.1221) Prec@1 27.344 (32.945) Prec@5 46.094 (59.812) Test: [340/391] Time 0.102 (0.759) Loss 2.9302 (3.1284) Prec@1 21.094 (32.760) Prec@5 70.312 (59.714) Test: [350/391] Time 0.485 (0.755) Loss 3.6690 (3.1361) Prec@1 21.875 (32.703) Prec@5 50.781 (59.569) Test: [360/391] Time 0.216 (0.753) Loss 2.6696 (3.1356) Prec@1 33.594 (32.728) Prec@5 68.750 (59.563) Test: [370/391] Time 1.097 (0.756) Loss 2.2440 (3.1242) Prec@1 49.219 (32.840) Prec@5 74.219 (59.807) Test: [380/391] Time 1.387 (0.757) Loss 1.6925 (3.1251) Prec@1 62.500 (32.854) Prec@5 85.938 (59.824) Test: [390/391] Time 0.068 (0.753) Loss 3.9596 (3.1140) Prec@1 21.250 (33.106) Prec@5 42.500 (60.010) * Prec@1 33.106 Prec@5 60.010 Epoch: [2][0/10010] Time 3.633 (3.633) Data 3.451 (3.451) Loss 3.3050 (3.3050) Prec@1 31.250 (31.250) Prec@5 57.812 (57.812) Epoch: [2][10/10010] Time 0.321 (0.619) Data 0.001 (0.314) Loss 3.0453 (3.2954) Prec@1 30.469 (29.759) Prec@5 57.031 (56.463) Epoch: [2][20/10010] Time 0.328 (0.476) Data 0.001 (0.165) Loss 3.3401 (3.2264) Prec@1 27.344 (31.324) Prec@5 56.250 (57.664) Epoch: [2][30/10010] Time 0.315 (0.425) Data 0.002 (0.112) Loss 3.2503 (3.2130) Prec@1 33.594 (31.981) Prec@5 63.281 (57.989) Epoch: [2][40/10010] Time 0.324 (0.399) Data 0.001 (0.085) Loss 3.1371 (3.1896) Prec@1 28.906 (32.412) Prec@5 59.375 (58.632) Epoch: [2][50/10010] Time 0.318 (0.383) Data 0.000 (0.068) Loss 3.3904 (3.1975) Prec@1 28.906 (32.307) Prec@5 56.250 (58.165) Epoch: [2][60/10010] Time 0.324 (0.373) Data 0.001 (0.057) Loss 3.4069 (3.1957) Prec@1 33.594 (32.569) Prec@5 55.469 (58.017) Epoch: [2][70/10010] Time 0.324 (0.365) Data 0.000 (0.049) Loss 3.2889 (3.1945) Prec@1 34.375 (32.636) Prec@5 55.469 (57.846) Epoch: [2][80/10010] Time 0.313 (0.360) Data 0.001 (0.043) Loss 3.3551 (3.1894) Prec@1 27.344 (32.735) Prec@5 57.031 (58.160) Epoch: [2][90/10010] Time 0.324 (0.355) Data 0.000 (0.039) Loss 3.0189 (3.1839) Prec@1 36.719 (32.855) Prec@5 59.375 (58.216) Epoch: [2][100/10010] Time 0.316 (0.352) Data 0.001 (0.035) Loss 3.0435 (3.1750) Prec@1 27.344 (32.921) Prec@5 64.062 (58.447) Epoch: [2][110/10010] Time 0.329 (0.349) Data 0.000 (0.032) Loss 3.3279 (3.1746) Prec@1 27.344 (32.890) Prec@5 51.562 (58.347) Epoch: [2][120/10010] Time 0.319 (0.347) Data 0.001 (0.029) Loss 3.0086 (3.1670) Prec@1 31.250 (33.110) Prec@5 64.844 (58.510) Epoch: [2][130/10010] Time 0.314 (0.345) Data 0.001 (0.027) Loss 3.1363 (3.1712) Prec@1 35.156 (33.129) Prec@5 58.594 (58.379) Epoch: [2][140/10010] Time 0.324 (0.343) Data 0.001 (0.025) Loss 2.9892 (3.1741) Prec@1 32.812 (33.150) Prec@5 64.844 (58.355) Epoch: [2][150/10010] Time 0.324 (0.342) Data 0.001 (0.023) Loss 3.0220 (3.1786) Prec@1 28.125 (33.035) Prec@5 57.812 (58.216) Epoch: [2][160/10010] Time 0.326 (0.340) Data 0.000 (0.022) Loss 3.0938 (3.1755) Prec@1 35.156 (33.186) Prec@5 59.375 (58.259) Epoch: [2][170/10010] Time 0.320 (0.339) Data 0.001 (0.021) Loss 3.2609 (3.1753) Prec@1 35.938 (33.201) Prec@5 57.031 (58.310) Epoch: [2][180/10010] Time 0.322 (0.338) Data 0.001 (0.020) Loss 3.1057 (3.1728) Prec@1 29.688 (33.292) Prec@5 60.156 (58.395) Epoch: [2][190/10010] Time 0.316 (0.338) Data 0.000 (0.019) Loss 2.9738 (3.1716) Prec@1 37.500 (33.303) Prec@5 58.594 (58.426) Epoch: [2][200/10010] Time 0.317 (0.337) Data 0.000 (0.018) Loss 3.1629 (3.1714) Prec@1 34.375 (33.294) Prec@5 59.375 (58.481) Epoch: [2][210/10010] Time 0.324 (0.337) Data 0.001 (0.017) Loss 3.0349 (3.1723) Prec@1 32.812 (33.246) Prec@5 61.719 (58.501) Epoch: [2][220/10010] Time 0.320 (0.336) Data 0.001 (0.016) Loss 3.6375 (3.1705) Prec@1 27.344 (33.223) Prec@5 50.000 (58.604) Epoch: [2][230/10010] Time 0.336 (0.336) Data 0.000 (0.016) Loss 2.9999 (3.1701) Prec@1 37.500 (33.245) Prec@5 58.594 (58.648) Epoch: [2][240/10010] Time 0.334 (0.336) Data 0.000 (0.015) Loss 3.2642 (3.1714) Prec@1 35.156 (33.266) Prec@5 55.469 (58.633) Epoch: [2][250/10010] Time 0.341 (0.336) Data 0.000 (0.014) Loss 3.0414 (3.1670) Prec@1 38.281 (33.323) Prec@5 56.250 (58.662) Epoch: [2][260/10010] Time 0.340 (0.336) Data 0.001 (0.014) Loss 2.9825 (3.1630) Prec@1 39.062 (33.504) Prec@5 61.719 (58.755) Epoch: [2][270/10010] Time 0.321 (0.336) Data 0.001 (0.013) Loss 3.1445 (3.1620) Prec@1 31.250 (33.536) Prec@5 59.375 (58.749) Epoch: [2][280/10010] Time 0.323 (0.336) Data 0.000 (0.013) Loss 3.3039 (3.1623) Prec@1 34.375 (33.535) Prec@5 55.469 (58.747) Epoch: [2][290/10010] Time 0.324 (0.335) Data 0.001 (0.012) Loss 3.7409 (3.1658) Prec@1 28.125 (33.511) Prec@5 50.781 (58.693) Epoch: [2][300/10010] Time 0.336 (0.336) Data 0.001 (0.012) Loss 3.2885 (3.1642) Prec@1 29.688 (33.467) Prec@5 57.031 (58.729) Epoch: [2][310/10010] Time 0.324 (0.336) Data 0.001 (0.012) Loss 2.9935 (3.1642) Prec@1 40.625 (33.476) Prec@5 61.719 (58.739) Epoch: [2][320/10010] Time 0.321 (0.335) Data 0.001 (0.011) Loss 3.6622 (3.1649) Prec@1 29.688 (33.440) Prec@5 47.656 (58.742) Epoch: [2][330/10010] Time 0.321 (0.335) Data 0.001 (0.011) Loss 3.0435 (3.1637) Prec@1 35.156 (33.509) Prec@5 59.375 (58.731) Epoch: [2][340/10010] Time 0.331 (0.335) Data 0.001 (0.011) Loss 3.1516 (3.1635) Prec@1 32.031 (33.488) Prec@5 56.250 (58.740) Epoch: [2][350/10010] Time 0.342 (0.335) Data 0.000 (0.010) Loss 3.1872 (3.1656) Prec@1 36.719 (33.467) Prec@5 60.156 (58.741) Epoch: [2][360/10010] Time 0.342 (0.335) Data 0.001 (0.010) Loss 2.9578 (3.1676) Prec@1 35.938 (33.431) Prec@5 64.844 (58.711) Epoch: [2][370/10010] Time 0.323 (0.335) Data 0.001 (0.010) Loss 3.1265 (3.1660) Prec@1 29.688 (33.467) Prec@5 55.469 (58.710) Epoch: [2][380/10010] Time 0.320 (0.335) Data 0.000 (0.010) Loss 3.5140 (3.1665) Prec@1 29.688 (33.495) Prec@5 52.344 (58.692) Epoch: [2][390/10010] Time 0.336 (0.335) Data 0.001 (0.009) Loss 3.3399 (3.1661) Prec@1 33.594 (33.542) Prec@5 55.469 (58.714) Epoch: [2][400/10010] Time 0.323 (0.335) Data 0.000 (0.009) Loss 3.3276 (3.1650) Prec@1 29.688 (33.561) Prec@5 56.250 (58.740) Epoch: [2][410/10010] Time 0.340 (0.335) Data 0.000 (0.009) Loss 2.9353 (3.1662) Prec@1 41.406 (33.495) Prec@5 64.844 (58.706) Epoch: [2][420/10010] Time 0.334 (0.335) Data 0.001 (0.009) Loss 2.9478 (3.1652) Prec@1 33.594 (33.518) Prec@5 64.062 (58.727) Epoch: [2][430/10010] Time 0.324 (0.335) Data 0.001 (0.009) Loss 3.2540 (3.1654) Prec@1 33.594 (33.494) Prec@5 60.156 (58.733) Epoch: [2][440/10010] Time 0.315 (0.334) Data 0.001 (0.008) Loss 3.1795 (3.1648) Prec@1 30.469 (33.486) Prec@5 60.156 (58.748) Epoch: [2][450/10010] Time 0.343 (0.334) Data 0.001 (0.008) Loss 3.0353 (3.1646) Prec@1 30.469 (33.483) Prec@5 60.938 (58.731) Epoch: [2][460/10010] Time 0.341 (0.334) Data 0.001 (0.008) Loss 3.1166 (3.1662) Prec@1 30.469 (33.416) Prec@5 60.938 (58.746) Epoch: [2][470/10010] Time 0.326 (0.334) Data 0.001 (0.008) Loss 3.0690 (3.1659) Prec@1 32.031 (33.396) Prec@5 62.500 (58.740) Epoch: [2][480/10010] Time 0.323 (0.334) Data 0.000 (0.008) Loss 3.5239 (3.1655) Prec@1 30.469 (33.399) Prec@5 53.125 (58.737) Epoch: [2][490/10010] Time 0.331 (0.334) Data 0.001 (0.008) Loss 3.2311 (3.1635) Prec@1 32.812 (33.395) Prec@5 53.906 (58.753) Epoch: [2][500/10010] Time 0.320 (0.334) Data 0.000 (0.007) Loss 2.6947 (3.1622) Prec@1 49.219 (33.441) Prec@5 67.188 (58.778) Epoch: [2][510/10010] Time 0.343 (0.334) Data 0.001 (0.007) Loss 3.0600 (3.1634) Prec@1 31.250 (33.390) Prec@5 64.062 (58.773) Epoch: [2][520/10010] Time 0.321 (0.334) Data 0.000 (0.007) Loss 2.9448 (3.1625) Prec@1 40.625 (33.412) Prec@5 57.812 (58.777) Epoch: [2][530/10010] Time 0.331 (0.334) Data 0.000 (0.007) Loss 3.0332 (3.1642) Prec@1 36.719 (33.401) Prec@5 60.938 (58.763) Epoch: [2][540/10010] Time 0.323 (0.333) Data 0.001 (0.007) Loss 3.2975 (3.1645) Prec@1 32.031 (33.392) Prec@5 59.375 (58.771) Epoch: [2][550/10010] Time 0.314 (0.333) Data 0.000 (0.007) Loss 3.3273 (3.1669) Prec@1 28.906 (33.353) Prec@5 57.812 (58.741) Epoch: [2][560/10010] Time 0.341 (0.333) Data 0.001 (0.007) Loss 3.1669 (3.1686) Prec@1 39.062 (33.360) Prec@5 60.938 (58.665) Epoch: [2][570/10010] Time 0.339 (0.333) Data 0.000 (0.007) Loss 3.3371 (3.1707) Prec@1 33.594 (33.311) Prec@5 61.719 (58.622) Epoch: [2][580/10010] Time 0.325 (0.333) Data 0.001 (0.007) Loss 2.9931 (3.1676) Prec@1 36.719 (33.376) Prec@5 56.250 (58.646) Epoch: [2][590/10010] Time 0.333 (0.333) Data 0.000 (0.006) Loss 3.2648 (3.1685) Prec@1 28.125 (33.373) Prec@5 53.906 (58.629) Epoch: [2][600/10010] Time 0.327 (0.333) Data 0.001 (0.006) Loss 3.0832 (3.1694) Prec@1 36.719 (33.360) Prec@5 63.281 (58.629) Epoch: [2][610/10010] Time 0.335 (0.333) Data 0.001 (0.006) Loss 2.7420 (3.1679) Prec@1 46.094 (33.397) Prec@5 65.625 (58.653) Epoch: [2][620/10010] Time 0.341 (0.333) Data 0.000 (0.006) Loss 2.9425 (3.1661) Prec@1 37.500 (33.414) Prec@5 64.062 (58.698) Epoch: [2][630/10010] Time 0.331 (0.333) Data 0.000 (0.006) Loss 3.2456 (3.1665) Prec@1 35.156 (33.419) Prec@5 60.156 (58.687) Epoch: [2][640/10010] Time 0.324 (0.333) Data 0.001 (0.006) Loss 3.3752 (3.1680) Prec@1 28.906 (33.378) Prec@5 54.688 (58.680) Epoch: [2][650/10010] Time 0.317 (0.333) Data 0.001 (0.006) Loss 3.4802 (3.1694) Prec@1 33.594 (33.375) Prec@5 52.344 (58.638) Epoch: [2][660/10010] Time 0.327 (0.333) Data 0.001 (0.006) Loss 2.9969 (3.1701) Prec@1 35.938 (33.348) Prec@5 61.719 (58.642) Epoch: [2][670/10010] Time 0.338 (0.333) Data 0.000 (0.006) Loss 3.2674 (3.1711) Prec@1 33.594 (33.346) Prec@5 56.250 (58.641) Epoch: [2][680/10010] Time 0.323 (0.333) Data 0.001 (0.006) Loss 3.2224 (3.1710) Prec@1 30.469 (33.354) Prec@5 56.250 (58.643) Epoch: [2][690/10010] Time 0.325 (0.333) Data 0.000 (0.006) Loss 3.1021 (3.1698) Prec@1 37.500 (33.376) Prec@5 58.594 (58.650) Epoch: [2][700/10010] Time 0.320 (0.333) Data 0.001 (0.006) Loss 2.9775 (3.1696) Prec@1 36.719 (33.385) Prec@5 61.719 (58.657) Epoch: [2][710/10010] Time 0.334 (0.333) Data 0.001 (0.006) Loss 3.0714 (3.1698) Prec@1 36.719 (33.396) Prec@5 60.938 (58.655) Epoch: [2][720/10010] Time 0.332 (0.333) Data 0.001 (0.006) Loss 2.9561 (3.1707) Prec@1 43.750 (33.416) Prec@5 60.156 (58.659) Epoch: [2][730/10010] Time 0.325 (0.333) Data 0.001 (0.006) Loss 3.4556 (3.1708) Prec@1 25.781 (33.412) Prec@5 57.812 (58.661) Epoch: [2][740/10010] Time 0.344 (0.333) Data 0.000 (0.006) Loss 2.9042 (3.1702) Prec@1 38.281 (33.431) Prec@5 64.844 (58.680) Epoch: [2][750/10010] Time 0.343 (0.333) Data 0.001 (0.005) Loss 3.3893 (3.1702) Prec@1 32.031 (33.413) Prec@5 50.781 (58.673) Epoch: [2][760/10010] Time 0.327 (0.333) Data 0.001 (0.005) Loss 3.3057 (3.1716) Prec@1 31.250 (33.390) Prec@5 53.906 (58.646) Epoch: [2][770/10010] Time 0.338 (0.333) Data 0.001 (0.005) Loss 3.1940 (3.1732) Prec@1 40.625 (33.371) Prec@5 59.375 (58.616) Epoch: [2][780/10010] Time 0.340 (0.333) Data 0.001 (0.005) Loss 3.1650 (3.1724) Prec@1 33.594 (33.376) Prec@5 64.844 (58.639) Epoch: [2][790/10010] Time 0.328 (0.332) Data 0.000 (0.005) Loss 3.3014 (3.1724) Prec@1 35.938 (33.389) Prec@5 59.375 (58.646) Epoch: [2][800/10010] Time 0.324 (0.332) Data 0.001 (0.005) Loss 3.3511 (3.1719) Prec@1 36.719 (33.392) Prec@5 57.812 (58.653) Epoch: [2][810/10010] Time 0.338 (0.332) Data 0.000 (0.005) Loss 3.1318 (3.1709) Prec@1 32.031 (33.400) Prec@5 58.594 (58.675) Epoch: [2][820/10010] Time 0.318 (0.333) Data 0.001 (0.005) Loss 3.0862 (3.1725) Prec@1 34.375 (33.378) Prec@5 57.031 (58.638) Epoch: [2][830/10010] Time 0.323 (0.332) Data 0.001 (0.005) Loss 3.5596 (3.1731) Prec@1 27.344 (33.361) Prec@5 54.688 (58.622) Epoch: [2][840/10010] Time 0.317 (0.332) Data 0.001 (0.005) Loss 3.0249 (3.1723) Prec@1 39.844 (33.366) Prec@5 60.156 (58.655) Epoch: [2][850/10010] Time 0.328 (0.332) Data 0.001 (0.005) Loss 2.9364 (3.1711) Prec@1 35.938 (33.403) Prec@5 60.156 (58.664) Epoch: [2][860/10010] Time 0.337 (0.332) Data 0.000 (0.005) Loss 3.5006 (3.1714) Prec@1 30.469 (33.395) Prec@5 55.469 (58.665) Epoch: [2][870/10010] Time 0.320 (0.332) Data 0.000 (0.005) Loss 2.9105 (3.1700) Prec@1 39.062 (33.434) Prec@5 61.719 (58.690) Epoch: [2][880/10010] Time 0.333 (0.332) Data 0.000 (0.005) Loss 3.0451 (3.1705) Prec@1 36.719 (33.434) Prec@5 57.812 (58.688) Epoch: [2][890/10010] Time 0.346 (0.332) Data 0.001 (0.005) Loss 3.3732 (3.1723) Prec@1 34.375 (33.414) Prec@5 57.031 (58.655) Epoch: [2][900/10010] Time 0.337 (0.332) Data 0.000 (0.005) Loss 3.1364 (3.1725) Prec@1 35.156 (33.389) Prec@5 58.594 (58.661) Epoch: [2][910/10010] Time 0.330 (0.332) Data 0.001 (0.005) Loss 3.0375 (3.1720) Prec@1 33.594 (33.384) Prec@5 62.500 (58.673) Epoch: [2][920/10010] Time 0.326 (0.332) Data 0.000 (0.005) Loss 3.1225 (3.1725) Prec@1 28.906 (33.376) Prec@5 60.938 (58.658) Epoch: [2][930/10010] Time 0.345 (0.332) Data 0.001 (0.005) Loss 3.4849 (3.1721) Prec@1 24.219 (33.383) Prec@5 46.875 (58.658) Epoch: [2][940/10010] Time 0.334 (0.332) Data 0.000 (0.004) Loss 3.6086 (3.1729) Prec@1 26.562 (33.375) Prec@5 49.219 (58.639) Epoch: [2][950/10010] Time 0.328 (0.332) Data 0.001 (0.004) Loss 3.0132 (3.1718) Prec@1 34.375 (33.400) Prec@5 59.375 (58.661) /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: [2][960/10010] Time 0.342 (0.332) Data 0.001 (0.004) Loss 3.3471 (3.1714) Prec@1 32.812 (33.410) Prec@5 55.469 (58.654) Epoch: [2][970/10010] Time 0.321 (0.332) Data 0.001 (0.004) Loss 3.0257 (3.1710) Prec@1 36.719 (33.421) Prec@5 58.594 (58.644) Epoch: [2][980/10010] Time 0.335 (0.332) Data 0.001 (0.004) Loss 2.9963 (3.1699) Prec@1 33.594 (33.418) Prec@5 60.938 (58.661) Epoch: [2][990/10010] Time 0.328 (0.332) Data 0.001 (0.004) Loss 3.1885 (3.1698) Prec@1 36.719 (33.417) Prec@5 59.375 (58.659) Epoch: [2][1000/10010] Time 0.335 (0.332) Data 0.000 (0.004) Loss 3.0380 (3.1701) Prec@1 39.844 (33.420) Prec@5 64.062 (58.671) Epoch: [2][1010/10010] Time 0.326 (0.332) Data 0.001 (0.004) Loss 2.5383 (3.1695) Prec@1 43.750 (33.421) Prec@5 67.969 (58.676) Epoch: [2][1020/10010] Time 0.322 (0.332) Data 0.001 (0.004) Loss 3.3895 (3.1695) Prec@1 30.469 (33.412) Prec@5 52.344 (58.679) Epoch: [2][1030/10010] Time 0.342 (0.332) Data 0.000 (0.004) Loss 3.1411 (3.1688) Prec@1 36.719 (33.425) Prec@5 57.031 (58.683) Epoch: [2][1040/10010] Time 0.326 (0.332) Data 0.000 (0.004) Loss 2.8596 (3.1686) Prec@1 37.500 (33.419) Prec@5 61.719 (58.686) Epoch: [2][1050/10010] Time 0.321 (0.332) Data 0.001 (0.004) Loss 3.0707 (3.1693) Prec@1 34.375 (33.399) Prec@5 54.688 (58.664) Epoch: [2][1060/10010] Time 0.322 (0.332) Data 0.001 (0.004) Loss 3.0839 (3.1681) Prec@1 31.250 (33.426) Prec@5 55.469 (58.666) Epoch: [2][1070/10010] Time 0.327 (0.332) Data 0.000 (0.004) Loss 2.9461 (3.1675) Prec@1 35.156 (33.426) Prec@5 60.938 (58.669) Epoch: [2][1080/10010] Time 0.328 (0.332) Data 0.001 (0.004) Loss 3.2186 (3.1671) Prec@1 31.250 (33.433) Prec@5 57.031 (58.675) Epoch: [2][1090/10010] Time 0.341 (0.332) Data 0.000 (0.004) Loss 3.1827 (3.1666) Prec@1 34.375 (33.450) Prec@5 58.594 (58.689) Epoch: [2][1100/10010] Time 0.325 (0.332) Data 0.001 (0.004) Loss 3.2639 (3.1676) Prec@1 35.938 (33.445) Prec@5 54.688 (58.687) Epoch: [2][1110/10010] Time 0.323 (0.332) Data 0.000 (0.004) Loss 3.2745 (3.1675) Prec@1 39.062 (33.457) Prec@5 57.812 (58.693) Epoch: [2][1120/10010] Time 0.317 (0.332) Data 0.001 (0.004) Loss 3.1838 (3.1663) Prec@1 32.812 (33.477) Prec@5 55.469 (58.723) Epoch: [2][1130/10010] Time 0.324 (0.332) Data 0.001 (0.004) Loss 3.5376 (3.1660) Prec@1 25.781 (33.477) Prec@5 46.875 (58.728) Epoch: [2][1140/10010] Time 0.342 (0.332) Data 0.000 (0.004) Loss 3.0214 (3.1651) Prec@1 33.594 (33.490) Prec@5 59.375 (58.741) Epoch: [2][1150/10010] Time 0.338 (0.332) Data 0.000 (0.004) Loss 3.2888 (3.1654) Prec@1 39.062 (33.493) Prec@5 57.031 (58.731) Epoch: [2][1160/10010] Time 0.318 (0.332) Data 0.001 (0.004) Loss 2.6930 (3.1653) Prec@1 43.750 (33.510) Prec@5 68.750 (58.734) Epoch: [2][1170/10010] Time 0.326 (0.332) Data 0.002 (0.004) Loss 3.4026 (3.1651) Prec@1 32.031 (33.498) Prec@5 55.469 (58.733) Epoch: [2][1180/10010] Time 0.325 (0.332) Data 0.001 (0.004) Loss 3.1989 (3.1652) Prec@1 28.906 (33.497) Prec@5 60.938 (58.723) Epoch: [2][1190/10010] Time 0.348 (0.332) Data 0.000 (0.004) Loss 3.1561 (3.1656) Prec@1 39.844 (33.514) Prec@5 59.375 (58.724) Epoch: [2][1200/10010] Time 0.336 (0.332) Data 0.001 (0.004) Loss 3.1063 (3.1647) Prec@1 36.719 (33.522) Prec@5 59.375 (58.743) Epoch: [2][1210/10010] Time 0.333 (0.332) Data 0.001 (0.004) Loss 3.2414 (3.1656) Prec@1 30.469 (33.503) Prec@5 56.250 (58.712) Epoch: [2][1220/10010] Time 0.332 (0.332) Data 0.001 (0.004) Loss 3.3014 (3.1672) Prec@1 31.250 (33.494) Prec@5 57.031 (58.693) Epoch: [2][1230/10010] Time 0.327 (0.332) Data 0.001 (0.004) Loss 3.0991 (3.1675) Prec@1 35.938 (33.490) Prec@5 60.156 (58.691) Epoch: [2][1240/10010] Time 0.330 (0.332) Data 0.000 (0.004) Loss 3.1678 (3.1673) Prec@1 32.812 (33.492) Prec@5 53.125 (58.683) Epoch: [2][1250/10010] Time 0.324 (0.332) Data 0.001 (0.004) Loss 3.0810 (3.1667) Prec@1 36.719 (33.506) Prec@5 57.031 (58.684) Epoch: [2][1260/10010] Time 0.328 (0.332) Data 0.001 (0.004) Loss 3.1728 (3.1667) Prec@1 33.594 (33.514) Prec@5 59.375 (58.682) Epoch: [2][1270/10010] Time 0.328 (0.332) Data 0.000 (0.004) Loss 3.1770 (3.1663) Prec@1 35.156 (33.532) Prec@5 55.469 (58.691) Epoch: [2][1280/10010] Time 0.342 (0.332) Data 0.001 (0.004) Loss 3.2714 (3.1671) Prec@1 30.469 (33.524) Prec@5 53.125 (58.680) Epoch: [2][1290/10010] Time 0.324 (0.332) Data 0.000 (0.004) Loss 3.0763 (3.1664) Prec@1 35.156 (33.544) Prec@5 60.938 (58.698) Epoch: [2][1300/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 3.1443 (3.1661) Prec@1 32.031 (33.542) Prec@5 60.156 (58.706) Epoch: [2][1310/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 3.2448 (3.1665) Prec@1 33.594 (33.543) Prec@5 60.156 (58.707) Epoch: [2][1320/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 3.3180 (3.1666) Prec@1 28.906 (33.537) Prec@5 55.469 (58.710) Epoch: [2][1330/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.9585 (3.1664) Prec@1 39.062 (33.542) Prec@5 65.625 (58.718) Epoch: [2][1340/10010] Time 0.347 (0.332) Data 0.000 (0.003) Loss 3.2822 (3.1665) Prec@1 25.781 (33.537) Prec@5 60.156 (58.730) Epoch: [2][1350/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 3.2375 (3.1660) Prec@1 35.156 (33.554) Prec@5 56.250 (58.739) Epoch: [2][1360/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.9578 (3.1664) Prec@1 39.062 (33.554) Prec@5 64.844 (58.737) /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: [2][1370/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 3.3283 (3.1664) Prec@1 32.031 (33.558) Prec@5 56.250 (58.744) Epoch: [2][1380/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 3.2423 (3.1661) Prec@1 34.375 (33.568) Prec@5 59.375 (58.755) Epoch: [2][1390/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 3.2379 (3.1664) Prec@1 32.812 (33.559) Prec@5 59.375 (58.754) Epoch: [2][1400/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 3.2346 (3.1664) Prec@1 35.938 (33.567) Prec@5 62.500 (58.759) Epoch: [2][1410/10010] Time 0.318 (0.332) Data 0.001 (0.003) Loss 3.1083 (3.1666) Prec@1 32.812 (33.559) Prec@5 61.719 (58.757) Epoch: [2][1420/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 3.3173 (3.1660) Prec@1 26.562 (33.564) Prec@5 54.688 (58.770) Epoch: [2][1430/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 3.3762 (3.1659) Prec@1 32.031 (33.565) Prec@5 57.031 (58.780) Epoch: [2][1440/10010] Time 0.325 (0.332) Data 0.000 (0.003) Loss 3.1956 (3.1666) Prec@1 31.250 (33.567) Prec@5 60.156 (58.770) Epoch: [2][1450/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 3.0959 (3.1664) Prec@1 35.156 (33.573) Prec@5 60.156 (58.773) Epoch: [2][1460/10010] Time 0.346 (0.332) Data 0.000 (0.003) Loss 2.9546 (3.1661) Prec@1 39.062 (33.579) Prec@5 65.625 (58.777) Epoch: [2][1470/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 3.3879 (3.1664) Prec@1 35.938 (33.581) Prec@5 58.594 (58.774) Epoch: [2][1480/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 3.1363 (3.1666) Prec@1 29.688 (33.584) Prec@5 61.719 (58.772) Epoch: [2][1490/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.8673 (3.1661) Prec@1 35.156 (33.591) Prec@5 68.750 (58.799) Epoch: [2][1500/10010] Time 0.316 (0.332) Data 0.000 (0.003) Loss 3.4065 (3.1668) Prec@1 28.906 (33.577) Prec@5 51.562 (58.793) Epoch: [2][1510/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.9056 (3.1664) Prec@1 40.625 (33.577) Prec@5 63.281 (58.809) Epoch: [2][1520/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 3.3289 (3.1659) Prec@1 28.906 (33.596) Prec@5 57.031 (58.823) Epoch: [2][1530/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 3.0939 (3.1664) Prec@1 29.688 (33.595) Prec@5 67.188 (58.814) Epoch: [2][1540/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 3.0587 (3.1663) Prec@1 33.594 (33.611) Prec@5 60.938 (58.823) Epoch: [2][1550/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 3.1129 (3.1657) Prec@1 34.375 (33.619) Prec@5 56.250 (58.827) Epoch: [2][1560/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 3.2389 (3.1654) Prec@1 32.812 (33.627) Prec@5 56.250 (58.824) Epoch: [2][1570/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 3.4477 (3.1656) Prec@1 28.125 (33.619) Prec@5 53.125 (58.822) Epoch: [2][1580/10010] Time 0.318 (0.332) Data 0.001 (0.003) Loss 2.8748 (3.1652) Prec@1 40.625 (33.627) Prec@5 67.188 (58.831) Epoch: [2][1590/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 2.7873 (3.1643) Prec@1 39.062 (33.638) Prec@5 64.062 (58.847) Epoch: [2][1600/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.9796 (3.1637) Prec@1 39.062 (33.644) Prec@5 58.594 (58.854) Epoch: [2][1610/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.8620 (3.1637) Prec@1 35.156 (33.641) Prec@5 67.188 (58.859) /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: [2][1620/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 3.2241 (3.1640) Prec@1 30.469 (33.638) Prec@5 57.031 (58.851) Epoch: [2][1630/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 3.1072 (3.1642) Prec@1 32.031 (33.624) Prec@5 56.250 (58.845) Epoch: [2][1640/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 3.0906 (3.1647) Prec@1 30.469 (33.616) Prec@5 62.500 (58.833) /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: [2][1650/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 3.2437 (3.1650) Prec@1 34.375 (33.616) Prec@5 61.719 (58.834) Epoch: [2][1660/10010] Time 0.343 (0.332) Data 0.001 (0.003) Loss 2.7750 (3.1650) Prec@1 39.844 (33.601) Prec@5 64.062 (58.835) Epoch: [2][1670/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 3.0867 (3.1646) Prec@1 27.344 (33.597) Prec@5 62.500 (58.833) Epoch: [2][1680/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 3.0843 (3.1644) Prec@1 38.281 (33.595) Prec@5 57.031 (58.832) Epoch: [2][1690/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 3.0077 (3.1639) Prec@1 35.938 (33.592) Prec@5 64.062 (58.841) Epoch: [2][1700/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 2.8192 (3.1644) Prec@1 32.812 (33.585) Prec@5 66.406 (58.825) /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: [2][1710/10010] Time 0.319 (0.332) Data 0.000 (0.003) Loss 3.5291 (3.1650) Prec@1 31.250 (33.571) Prec@5 58.594 (58.815) Epoch: [2][1720/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 3.3722 (3.1646) Prec@1 32.812 (33.580) Prec@5 56.250 (58.815) Epoch: [2][1730/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 3.1699 (3.1641) Prec@1 33.594 (33.585) Prec@5 56.250 (58.823) Epoch: [2][1740/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 3.1235 (3.1638) Prec@1 33.594 (33.596) Prec@5 58.594 (58.833) Epoch: [2][1750/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 3.1402 (3.1633) Prec@1 32.812 (33.594) Prec@5 60.156 (58.844) Epoch: [2][1760/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 3.2073 (3.1631) Prec@1 34.375 (33.601) Prec@5 59.375 (58.844) Epoch: [2][1770/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 3.1884 (3.1630) Prec@1 31.250 (33.607) Prec@5 57.812 (58.853) Epoch: [2][1780/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 3.0867 (3.1631) Prec@1 35.156 (33.604) Prec@5 64.062 (58.860) Epoch: [2][1790/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 3.1509 (3.1631) Prec@1 35.938 (33.606) Prec@5 59.375 (58.862) Epoch: [2][1800/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.6445 (3.1624) Prec@1 32.031 (33.624) Prec@5 53.906 (58.874) Epoch: [2][1810/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 3.4613 (3.1627) Prec@1 28.906 (33.624) Prec@5 57.031 (58.875) Epoch: [2][1820/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 3.6488 (3.1633) Prec@1 28.125 (33.614) Prec@5 53.125 (58.869) Epoch: [2][1830/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 3.1328 (3.1635) Prec@1 35.938 (33.614) Prec@5 56.250 (58.871) Epoch: [2][1840/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 3.2933 (3.1635) Prec@1 28.125 (33.611) Prec@5 60.938 (58.877) Epoch: [2][1850/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 3.0823 (3.1635) Prec@1 37.500 (33.628) Prec@5 55.469 (58.878) Epoch: [2][1860/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 3.1220 (3.1630) Prec@1 32.812 (33.650) Prec@5 63.281 (58.883) Epoch: [2][1870/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 3.1999 (3.1629) Prec@1 30.469 (33.651) Prec@5 57.031 (58.885) Epoch: [2][1880/10010] Time 0.323 (0.333) Data 0.000 (0.004) Loss 2.8885 (3.1629) Prec@1 35.156 (33.647) Prec@5 65.625 (58.885) Epoch: [2][1890/10010] Time 0.315 (0.333) Data 0.001 (0.004) Loss 2.9075 (3.1629) Prec@1 35.156 (33.645) Prec@5 60.156 (58.880) Epoch: [2][1900/10010] Time 0.339 (0.333) Data 0.001 (0.004) Loss 3.3920 (3.1628) Prec@1 31.250 (33.650) Prec@5 61.719 (58.885) Epoch: [2][1910/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 2.8814 (3.1626) Prec@1 32.031 (33.653) Prec@5 66.406 (58.889) Epoch: [2][1920/10010] Time 0.345 (0.333) Data 0.001 (0.004) Loss 3.2525 (3.1620) Prec@1 34.375 (33.660) Prec@5 58.594 (58.898) Epoch: [2][1930/10010] Time 0.319 (0.333) Data 0.000 (0.004) Loss 3.1755 (3.1623) Prec@1 35.938 (33.661) Prec@5 57.031 (58.891) Epoch: [2][1940/10010] Time 0.318 (0.333) Data 0.001 (0.004) Loss 3.0503 (3.1618) Prec@1 32.812 (33.673) Prec@5 55.469 (58.901) Epoch: [2][1950/10010] Time 0.325 (0.333) Data 0.009 (0.004) Loss 2.9780 (3.1616) Prec@1 35.156 (33.677) Prec@5 62.500 (58.910) Epoch: [2][1960/10010] Time 0.321 (0.332) Data 0.000 (0.004) Loss 2.9269 (3.1623) Prec@1 35.938 (33.664) Prec@5 63.281 (58.897) Epoch: [2][1970/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 3.0571 (3.1622) Prec@1 38.281 (33.670) Prec@5 60.156 (58.897) Epoch: [2][1980/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 3.0257 (3.1622) Prec@1 39.062 (33.666) Prec@5 61.719 (58.896) Epoch: [2][1990/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 3.2515 (3.1619) Prec@1 32.812 (33.673) Prec@5 57.812 (58.901) Epoch: [2][2000/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 3.3717 (3.1615) Prec@1 28.125 (33.671) Prec@5 57.031 (58.906) Epoch: [2][2010/10010] Time 0.341 (0.332) Data 0.001 (0.003) Loss 3.3758 (3.1612) Prec@1 30.469 (33.677) Prec@5 55.469 (58.912) Epoch: [2][2020/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.9313 (3.1615) Prec@1 42.188 (33.684) Prec@5 66.406 (58.910) Epoch: [2][2030/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 3.5482 (3.1613) Prec@1 32.031 (33.688) Prec@5 53.125 (58.912) Epoch: [2][2040/10010] Time 0.345 (0.332) Data 0.001 (0.003) Loss 2.9731 (3.1609) Prec@1 38.281 (33.688) Prec@5 64.062 (58.915) Epoch: [2][2050/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 3.4350 (3.1605) Prec@1 30.469 (33.694) Prec@5 57.812 (58.923) Epoch: [2][2060/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.0620 (3.1602) Prec@1 32.812 (33.692) Prec@5 64.062 (58.926) Epoch: [2][2070/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 3.2200 (3.1601) Prec@1 32.812 (33.696) Prec@5 58.594 (58.926) Epoch: [2][2080/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 2.9595 (3.1605) Prec@1 37.500 (33.693) Prec@5 63.281 (58.911) Epoch: [2][2090/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 3.2840 (3.1609) Prec@1 32.812 (33.678) Prec@5 57.812 (58.900) Epoch: [2][2100/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.1124 (3.1609) Prec@1 33.594 (33.681) Prec@5 56.250 (58.898) Epoch: [2][2110/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 3.3482 (3.1613) Prec@1 32.812 (33.680) Prec@5 53.906 (58.894) Epoch: [2][2120/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 3.3356 (3.1608) Prec@1 29.688 (33.683) Prec@5 59.375 (58.904) Epoch: [2][2130/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.9639 (3.1607) Prec@1 42.188 (33.690) Prec@5 63.281 (58.908) Epoch: [2][2140/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 3.2801 (3.1606) Prec@1 32.812 (33.695) Prec@5 59.375 (58.906) Epoch: [2][2150/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 3.3406 (3.1602) Prec@1 29.688 (33.699) Prec@5 55.469 (58.913) Epoch: [2][2160/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 3.3179 (3.1597) Prec@1 32.031 (33.709) Prec@5 57.812 (58.930) Epoch: [2][2170/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 3.0749 (3.1593) Prec@1 31.250 (33.712) Prec@5 60.938 (58.938) Epoch: [2][2180/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.7920 (3.1592) Prec@1 42.969 (33.719) Prec@5 62.500 (58.934) Epoch: [2][2190/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.8892 (3.1587) Prec@1 35.938 (33.730) Prec@5 64.062 (58.949) Epoch: [2][2200/10010] Time 0.344 (0.332) Data 0.001 (0.003) Loss 3.3168 (3.1587) Prec@1 30.469 (33.736) Prec@5 53.906 (58.952) Epoch: [2][2210/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 3.3727 (3.1589) Prec@1 32.812 (33.732) Prec@5 54.688 (58.950) Epoch: [2][2220/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 3.4893 (3.1590) Prec@1 28.125 (33.728) Prec@5 53.906 (58.950) Epoch: [2][2230/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.4029 (3.1592) Prec@1 29.688 (33.729) Prec@5 53.906 (58.944) Epoch: [2][2240/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 3.2374 (3.1591) Prec@1 32.031 (33.729) Prec@5 57.031 (58.944) Epoch: [2][2250/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.9596 (3.1584) Prec@1 36.719 (33.747) Prec@5 60.938 (58.961) Epoch: [2][2260/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 3.3902 (3.1584) Prec@1 32.812 (33.750) Prec@5 59.375 (58.959) Epoch: [2][2270/10010] Time 0.317 (0.332) Data 0.001 (0.003) Loss 3.2025 (3.1583) Prec@1 31.250 (33.743) Prec@5 54.688 (58.960) Epoch: [2][2280/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 3.4787 (3.1586) Prec@1 28.125 (33.728) Prec@5 52.344 (58.955) Epoch: [2][2290/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 2.9668 (3.1587) Prec@1 36.719 (33.731) Prec@5 64.062 (58.951) Epoch: [2][2300/10010] Time 0.341 (0.332) Data 0.001 (0.003) Loss 3.0274 (3.1585) Prec@1 32.812 (33.725) Prec@5 57.812 (58.952) Epoch: [2][2310/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 3.1813 (3.1586) Prec@1 35.156 (33.734) Prec@5 56.250 (58.951) Epoch: [2][2320/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 3.2227 (3.1583) Prec@1 31.250 (33.746) Prec@5 57.812 (58.958) Epoch: [2][2330/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 3.0927 (3.1581) Prec@1 35.156 (33.752) Prec@5 61.719 (58.959) Epoch: [2][2340/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 3.1539 (3.1584) Prec@1 32.031 (33.750) Prec@5 57.812 (58.955) Epoch: [2][2350/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.0333 (3.1584) Prec@1 33.594 (33.749) Prec@5 60.156 (58.957) Epoch: [2][2360/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.8448 (3.1575) Prec@1 41.406 (33.759) Prec@5 65.625 (58.975) Epoch: [2][2370/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 3.3300 (3.1572) Prec@1 26.562 (33.768) Prec@5 54.688 (58.982) Epoch: [2][2380/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 3.5161 (3.1569) Prec@1 28.906 (33.770) Prec@5 57.812 (58.989) Epoch: [2][2390/10010] Time 0.345 (0.332) Data 0.001 (0.003) Loss 3.3354 (3.1573) Prec@1 32.031 (33.760) Prec@5 56.250 (58.989) Epoch: [2][2400/10010] Time 0.341 (0.332) Data 0.001 (0.003) Loss 2.6207 (3.1569) Prec@1 40.625 (33.770) Prec@5 65.625 (58.997) Epoch: [2][2410/10010] Time 0.317 (0.332) Data 0.001 (0.003) Loss 2.9431 (3.1570) Prec@1 39.844 (33.772) Prec@5 64.062 (58.992) Epoch: [2][2420/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 2.9644 (3.1574) Prec@1 35.156 (33.767) Prec@5 64.062 (58.984) Epoch: [2][2430/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 3.2062 (3.1575) Prec@1 35.156 (33.766) Prec@5 60.156 (58.984) Epoch: [2][2440/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 3.1577 (3.1576) Prec@1 34.375 (33.763) Prec@5 57.812 (58.986) Epoch: [2][2450/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.9172 (3.1572) Prec@1 42.188 (33.767) Prec@5 64.062 (58.992) Epoch: [2][2460/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 3.4915 (3.1576) Prec@1 30.469 (33.762) Prec@5 51.562 (58.979) Epoch: [2][2470/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 3.0026 (3.1576) Prec@1 43.750 (33.764) Prec@5 60.938 (58.967) Epoch: [2][2480/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 3.0172 (3.1576) Prec@1 32.812 (33.756) Prec@5 60.938 (58.965) Epoch: [2][2490/10010] Time 0.344 (0.332) Data 0.000 (0.003) Loss 3.4807 (3.1578) Prec@1 32.031 (33.757) Prec@5 52.344 (58.959) Epoch: [2][2500/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 2.9267 (3.1578) Prec@1 37.500 (33.756) Prec@5 62.500 (58.966) Epoch: [2][2510/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 2.9711 (3.1576) Prec@1 35.156 (33.758) Prec@5 58.594 (58.971) Epoch: [2][2520/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 3.2511 (3.1578) Prec@1 32.031 (33.752) Prec@5 58.594 (58.969) Epoch: [2][2530/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 3.0273 (3.1576) Prec@1 34.375 (33.751) Prec@5 64.844 (58.975) Epoch: [2][2540/10010] Time 0.344 (0.332) Data 0.001 (0.003) Loss 3.5055 (3.1576) Prec@1 26.562 (33.756) Prec@5 53.906 (58.975) Epoch: [2][2550/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 3.1009 (3.1576) Prec@1 32.812 (33.761) Prec@5 60.938 (58.975) Epoch: [2][2560/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 3.3141 (3.1578) Prec@1 29.688 (33.761) Prec@5 58.594 (58.967) Epoch: [2][2570/10010] Time 0.347 (0.332) Data 0.001 (0.003) Loss 2.8975 (3.1576) Prec@1 35.156 (33.765) Prec@5 63.281 (58.975) Epoch: [2][2580/10010] Time 0.348 (0.332) Data 0.001 (0.003) Loss 3.3549 (3.1577) Prec@1 28.906 (33.765) Prec@5 52.344 (58.972) Epoch: [2][2590/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 3.4155 (3.1575) Prec@1 30.469 (33.770) Prec@5 53.906 (58.973) Epoch: [2][2600/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 2.9021 (3.1574) Prec@1 39.062 (33.775) Prec@5 64.844 (58.977) Epoch: [2][2610/10010] Time 0.342 (0.332) Data 0.001 (0.003) Loss 3.3975 (3.1574) Prec@1 32.031 (33.774) Prec@5 57.812 (58.981) Epoch: [2][2620/10010] Time 0.350 (0.332) Data 0.000 (0.003) Loss 2.9719 (3.1574) Prec@1 39.844 (33.776) Prec@5 58.594 (58.976) Epoch: [2][2630/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.9451 (3.1566) Prec@1 36.719 (33.789) Prec@5 64.062 (58.991) Epoch: [2][2640/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 3.2662 (3.1561) Prec@1 28.906 (33.791) Prec@5 53.906 (58.996) Epoch: [2][2650/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 3.2170 (3.1560) Prec@1 28.125 (33.784) Prec@5 60.156 (59.001) Epoch: [2][2660/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 3.4445 (3.1561) Prec@1 31.250 (33.786) Prec@5 50.781 (58.997) Epoch: [2][2670/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 3.0005 (3.1560) Prec@1 35.156 (33.791) Prec@5 64.844 (58.994) Epoch: [2][2680/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 3.0179 (3.1557) Prec@1 36.719 (33.799) Prec@5 64.062 (59.002) Epoch: [2][2690/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 3.0753 (3.1554) Prec@1 37.500 (33.802) Prec@5 64.062 (59.007) Epoch: [2][2700/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 2.8023 (3.1552) Prec@1 40.625 (33.802) Prec@5 65.625 (59.011) Epoch: [2][2710/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 3.0737 (3.1552) Prec@1 39.062 (33.807) Prec@5 59.375 (59.012) Epoch: [2][2720/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.7581 (3.1546) Prec@1 44.531 (33.814) Prec@5 62.500 (59.020) Epoch: [2][2730/10010] Time 0.334 (0.332) Data 0.001 (0.003) Loss 3.2562 (3.1545) Prec@1 35.156 (33.818) Prec@5 55.469 (59.023) Epoch: [2][2740/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.3328 (3.1543) Prec@1 33.594 (33.826) Prec@5 57.812 (59.031) Epoch: [2][2750/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 3.2837 (3.1541) Prec@1 34.375 (33.827) Prec@5 59.375 (59.039) Epoch: [2][2760/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.0509 (3.1539) Prec@1 37.500 (33.833) Prec@5 58.594 (59.041) Epoch: [2][2770/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 3.0023 (3.1536) Prec@1 34.375 (33.841) Prec@5 59.375 (59.047) Epoch: [2][2780/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 2.8785 (3.1533) Prec@1 35.938 (33.842) Prec@5 63.281 (59.052) Epoch: [2][2790/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 3.3122 (3.1535) Prec@1 30.469 (33.845) Prec@5 53.906 (59.051) Epoch: [2][2800/10010] Time 0.318 (0.332) Data 0.001 (0.003) Loss 2.8209 (3.1534) Prec@1 41.406 (33.846) Prec@5 67.969 (59.053) Epoch: [2][2810/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 3.2831 (3.1534) Prec@1 34.375 (33.854) Prec@5 57.812 (59.055) Epoch: [2][2820/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 3.4167 (3.1532) Prec@1 32.031 (33.857) Prec@5 55.469 (59.059) Epoch: [2][2830/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.1683 (3.1532) Prec@1 29.688 (33.851) Prec@5 57.031 (59.060) Epoch: [2][2840/10010] Time 0.346 (0.332) Data 0.001 (0.003) Loss 3.3096 (3.1531) Prec@1 32.812 (33.851) Prec@5 59.375 (59.060) Epoch: [2][2850/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 3.1135 (3.1529) Prec@1 32.812 (33.847) Prec@5 66.406 (59.071) Epoch: [2][2860/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 3.1400 (3.1526) Prec@1 34.375 (33.856) Prec@5 60.938 (59.072) Epoch: [2][2870/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 3.1227 (3.1526) Prec@1 29.688 (33.854) Prec@5 60.938 (59.075) Epoch: [2][2880/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 3.1422 (3.1526) Prec@1 37.500 (33.854) Prec@5 58.594 (59.077) Epoch: [2][2890/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 2.9217 (3.1524) Prec@1 42.188 (33.855) Prec@5 63.281 (59.081) Epoch: [2][2900/10010] Time 0.343 (0.332) Data 0.001 (0.003) Loss 3.1361 (3.1524) Prec@1 34.375 (33.857) Prec@5 61.719 (59.085) Epoch: [2][2910/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 3.4284 (3.1523) Prec@1 32.031 (33.861) Prec@5 53.906 (59.087) Epoch: [2][2920/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.8925 (3.1519) Prec@1 33.594 (33.871) Prec@5 64.844 (59.094) Epoch: [2][2930/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.9879 (3.1518) Prec@1 35.156 (33.869) Prec@5 58.594 (59.090) Epoch: [2][2940/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 2.7825 (3.1518) Prec@1 39.844 (33.870) Prec@5 64.062 (59.092) Epoch: [2][2950/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 3.1626 (3.1518) Prec@1 33.594 (33.873) Prec@5 55.469 (59.092) Epoch: [2][2960/10010] Time 0.344 (0.332) Data 0.001 (0.003) Loss 3.1321 (3.1514) Prec@1 32.031 (33.878) Prec@5 61.719 (59.101) Epoch: [2][2970/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 3.4022 (3.1514) Prec@1 32.812 (33.878) Prec@5 53.906 (59.105) Epoch: [2][2980/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 3.2653 (3.1514) Prec@1 32.031 (33.877) Prec@5 56.250 (59.103) Epoch: [2][2990/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.8515 (3.1511) Prec@1 44.531 (33.879) Prec@5 61.719 (59.107) Epoch: [2][3000/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 3.4321 (3.1512) Prec@1 34.375 (33.878) Prec@5 51.562 (59.102) Epoch: [2][3010/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 3.0922 (3.1510) Prec@1 42.188 (33.885) Prec@5 60.156 (59.108) Epoch: [2][3020/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 3.3840 (3.1507) Prec@1 34.375 (33.888) Prec@5 52.344 (59.111) Epoch: [2][3030/10010] Time 0.349 (0.332) Data 0.001 (0.003) Loss 3.2574 (3.1505) Prec@1 28.906 (33.890) Prec@5 60.156 (59.112) Epoch: [2][3040/10010] Time 0.317 (0.332) Data 0.001 (0.003) Loss 3.1926 (3.1506) Prec@1 31.250 (33.895) Prec@5 56.250 (59.112) Epoch: [2][3050/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 2.8776 (3.1506) Prec@1 44.531 (33.893) Prec@5 64.844 (59.110) Epoch: [2][3060/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 3.3640 (3.1504) Prec@1 32.812 (33.899) Prec@5 55.469 (59.115) Epoch: [2][3070/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 3.4066 (3.1506) Prec@1 32.031 (33.894) Prec@5 53.125 (59.109) Epoch: [2][3080/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 3.4515 (3.1508) Prec@1 25.781 (33.887) Prec@5 52.344 (59.107) Epoch: [2][3090/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 3.3137 (3.1507) Prec@1 30.469 (33.890) Prec@5 56.250 (59.111) Epoch: [2][3100/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9416 (3.1505) Prec@1 36.719 (33.894) Prec@5 57.812 (59.113) Epoch: [2][3110/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.9884 (3.1502) Prec@1 35.156 (33.896) Prec@5 59.375 (59.116) Epoch: [2][3120/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.2974 (3.1501) Prec@1 33.594 (33.898) Prec@5 50.781 (59.115) Epoch: [2][3130/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.9181 (3.1496) Prec@1 35.938 (33.903) Prec@5 65.625 (59.121) Epoch: [2][3140/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 3.3839 (3.1496) Prec@1 27.344 (33.901) Prec@5 53.906 (59.122) Epoch: [2][3150/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 3.6907 (3.1497) Prec@1 24.219 (33.899) Prec@5 48.438 (59.118) Epoch: [2][3160/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 3.2140 (3.1499) Prec@1 33.594 (33.897) Prec@5 58.594 (59.115) Epoch: [2][3170/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.8114 (3.1496) Prec@1 38.281 (33.898) Prec@5 69.531 (59.117) Epoch: [2][3180/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 3.1072 (3.1497) Prec@1 38.281 (33.894) Prec@5 60.938 (59.111) Epoch: [2][3190/10010] Time 0.358 (0.332) Data 0.000 (0.002) Loss 3.5500 (3.1496) Prec@1 27.344 (33.898) Prec@5 50.000 (59.111) Epoch: [2][3200/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.7242 (3.1493) Prec@1 39.844 (33.907) Prec@5 62.500 (59.110) Epoch: [2][3210/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 3.2859 (3.1494) Prec@1 28.906 (33.903) Prec@5 55.469 (59.112) Epoch: [2][3220/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 3.1765 (3.1496) Prec@1 32.812 (33.899) Prec@5 60.938 (59.109) Epoch: [2][3230/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.0975 (3.1493) Prec@1 36.719 (33.905) Prec@5 63.281 (59.116) Epoch: [2][3240/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8803 (3.1493) Prec@1 40.625 (33.905) Prec@5 66.406 (59.128) Epoch: [2][3250/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.4677 (3.1493) Prec@1 28.125 (33.899) Prec@5 52.344 (59.131) Epoch: [2][3260/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 3.0523 (3.1491) Prec@1 39.844 (33.903) Prec@5 62.500 (59.135) Epoch: [2][3270/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.9941 (3.1492) Prec@1 34.375 (33.907) Prec@5 57.812 (59.129) Epoch: [2][3280/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8274 (3.1490) Prec@1 38.281 (33.909) Prec@5 67.969 (59.138) Epoch: [2][3290/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 3.4140 (3.1490) Prec@1 31.250 (33.914) Prec@5 54.688 (59.139) Epoch: [2][3300/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.9939 (3.1491) Prec@1 35.938 (33.915) Prec@5 60.938 (59.134) Epoch: [2][3310/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.9234 (3.1489) Prec@1 33.594 (33.917) Prec@5 59.375 (59.139) Epoch: [2][3320/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.7791 (3.1488) Prec@1 37.500 (33.914) Prec@5 61.719 (59.139) Epoch: [2][3330/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.9828 (3.1487) Prec@1 36.719 (33.907) Prec@5 60.938 (59.146) Epoch: [2][3340/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 3.3806 (3.1488) Prec@1 32.812 (33.905) Prec@5 54.688 (59.146) Epoch: [2][3350/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.9612 (3.1483) Prec@1 35.156 (33.910) Prec@5 67.188 (59.157) Epoch: [2][3360/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.0002 (3.1480) Prec@1 35.938 (33.917) Prec@5 62.500 (59.161) Epoch: [2][3370/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 3.4530 (3.1477) Prec@1 29.688 (33.926) Prec@5 55.469 (59.165) Epoch: [2][3380/10010] Time 0.353 (0.332) Data 0.001 (0.002) Loss 2.9462 (3.1474) Prec@1 37.500 (33.933) Prec@5 59.375 (59.171) Epoch: [2][3390/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.9820 (3.1473) Prec@1 32.812 (33.931) Prec@5 63.281 (59.173) Epoch: [2][3400/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.1975 (3.1473) Prec@1 32.031 (33.931) Prec@5 56.250 (59.171) Epoch: [2][3410/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.3822 (3.1471) Prec@1 29.688 (33.932) Prec@5 57.031 (59.181) Epoch: [2][3420/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 3.4730 (3.1471) Prec@1 25.000 (33.932) Prec@5 53.125 (59.184) Epoch: [2][3430/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.8829 (3.1469) Prec@1 39.062 (33.941) Prec@5 62.500 (59.185) Epoch: [2][3440/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.8395 (3.1466) Prec@1 35.938 (33.942) Prec@5 64.844 (59.190) Epoch: [2][3450/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.9765 (3.1465) Prec@1 28.125 (33.941) Prec@5 57.031 (59.191) Epoch: [2][3460/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 3.0593 (3.1465) Prec@1 37.500 (33.943) Prec@5 60.938 (59.190) Epoch: [2][3470/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 3.0148 (3.1464) Prec@1 34.375 (33.943) Prec@5 60.938 (59.191) Epoch: [2][3480/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.1741 (3.1465) Prec@1 37.500 (33.945) Prec@5 55.469 (59.190) Epoch: [2][3490/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8140 (3.1462) Prec@1 42.969 (33.945) Prec@5 65.625 (59.194) Epoch: [2][3500/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.1778 (3.1461) Prec@1 35.938 (33.947) Prec@5 58.594 (59.194) Epoch: [2][3510/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.1662 (3.1458) Prec@1 33.594 (33.953) Prec@5 59.375 (59.201) Epoch: [2][3520/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.0509 (3.1458) Prec@1 33.594 (33.948) Prec@5 62.500 (59.205) Epoch: [2][3530/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.9025 (3.1456) Prec@1 34.375 (33.953) Prec@5 63.281 (59.208) Epoch: [2][3540/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.8041 (3.1453) Prec@1 33.594 (33.956) Prec@5 67.969 (59.214) Epoch: [2][3550/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 3.3174 (3.1451) Prec@1 32.031 (33.959) Prec@5 60.156 (59.221) Epoch: [2][3560/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 3.0484 (3.1448) Prec@1 32.031 (33.964) Prec@5 60.938 (59.224) Epoch: [2][3570/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.3660 (3.1449) Prec@1 29.688 (33.964) Prec@5 57.031 (59.228) Epoch: [2][3580/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 3.1242 (3.1451) Prec@1 35.156 (33.963) Prec@5 58.594 (59.222) Epoch: [2][3590/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.1427 (3.1450) Prec@1 39.844 (33.963) Prec@5 59.375 (59.225) Epoch: [2][3600/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.7157 (3.1447) Prec@1 37.500 (33.970) Prec@5 68.750 (59.237) Epoch: [2][3610/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 3.2358 (3.1447) Prec@1 34.375 (33.974) Prec@5 57.031 (59.241) Epoch: [2][3620/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.3642 (3.1448) Prec@1 35.156 (33.973) Prec@5 54.688 (59.240) Epoch: [2][3630/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 3.1207 (3.1448) Prec@1 35.156 (33.971) Prec@5 57.031 (59.242) Epoch: [2][3640/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7290 (3.1445) Prec@1 38.281 (33.978) Prec@5 65.625 (59.243) Epoch: [2][3650/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.2611 (3.1446) Prec@1 31.250 (33.973) Prec@5 60.938 (59.246) Epoch: [2][3660/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 3.2082 (3.1444) Prec@1 35.156 (33.978) Prec@5 60.938 (59.250) Epoch: [2][3670/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.2109 (3.1441) Prec@1 33.594 (33.984) Prec@5 53.125 (59.254) Epoch: [2][3680/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.0991 (3.1439) Prec@1 32.812 (33.988) Prec@5 60.156 (59.260) Epoch: [2][3690/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 3.4469 (3.1441) Prec@1 25.000 (33.985) Prec@5 52.344 (59.255) Epoch: [2][3700/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.9921 (3.1439) Prec@1 35.156 (33.988) Prec@5 61.719 (59.257) Epoch: [2][3710/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.0574 (3.1440) Prec@1 32.812 (33.988) Prec@5 59.375 (59.258) Epoch: [2][3720/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.2876 (3.1440) Prec@1 32.812 (33.990) Prec@5 56.250 (59.260) Epoch: [2][3730/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.1063 (3.1440) Prec@1 39.844 (33.986) Prec@5 60.938 (59.256) Epoch: [2][3740/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.9906 (3.1438) Prec@1 39.062 (33.987) Prec@5 60.938 (59.259) Epoch: [2][3750/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.7612 (3.1435) Prec@1 35.938 (33.989) Prec@5 64.062 (59.265) Epoch: [2][3760/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.9706 (3.1433) Prec@1 40.625 (33.998) Prec@5 61.719 (59.268) Epoch: [2][3770/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.9109 (3.1431) Prec@1 39.062 (33.999) Prec@5 66.406 (59.272) Epoch: [2][3780/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.9089 (3.1426) Prec@1 33.594 (34.008) Prec@5 61.719 (59.283) Epoch: [2][3790/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.1514 (3.1425) Prec@1 38.281 (34.009) Prec@5 62.500 (59.286) Epoch: [2][3800/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 3.0638 (3.1423) Prec@1 45.312 (34.013) Prec@5 61.719 (59.286) Epoch: [2][3810/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.1380 (3.1423) Prec@1 36.719 (34.017) Prec@5 60.938 (59.290) Epoch: [2][3820/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 3.3571 (3.1424) Prec@1 36.719 (34.017) Prec@5 58.594 (59.289) Epoch: [2][3830/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 3.4035 (3.1426) Prec@1 33.594 (34.015) Prec@5 56.250 (59.283) Epoch: [2][3840/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.8937 (3.1423) Prec@1 35.938 (34.020) Prec@5 64.062 (59.285) Epoch: [2][3850/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.9860 (3.1424) Prec@1 38.281 (34.022) Prec@5 64.062 (59.286) Epoch: [2][3860/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.9415 (3.1422) Prec@1 36.719 (34.028) Prec@5 66.406 (59.292) Epoch: [2][3870/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.1654 (3.1420) Prec@1 33.594 (34.029) Prec@5 62.500 (59.296) Epoch: [2][3880/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 3.2079 (3.1418) Prec@1 30.469 (34.027) Prec@5 61.719 (59.302) Epoch: [2][3890/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.8958 (3.1420) Prec@1 39.062 (34.023) Prec@5 62.500 (59.299) Epoch: [2][3900/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.0151 (3.1417) Prec@1 33.594 (34.026) Prec@5 55.469 (59.304) Epoch: [2][3910/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.1962 (3.1416) Prec@1 32.031 (34.031) Prec@5 55.469 (59.302) Epoch: [2][3920/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.8050 (3.1416) Prec@1 41.406 (34.034) Prec@5 65.625 (59.306) Epoch: [2][3930/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.1987 (3.1415) Prec@1 31.250 (34.034) Prec@5 62.500 (59.313) Epoch: [2][3940/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 2.7671 (3.1414) Prec@1 44.531 (34.033) Prec@5 64.844 (59.317) Epoch: [2][3950/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 3.4520 (3.1415) Prec@1 32.031 (34.032) Prec@5 51.562 (59.314) Epoch: [2][3960/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.2020 (3.1415) Prec@1 35.938 (34.030) Prec@5 57.812 (59.313) Epoch: [2][3970/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 3.3267 (3.1414) Prec@1 25.781 (34.031) Prec@5 52.344 (59.311) Epoch: [2][3980/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.9046 (3.1415) Prec@1 35.156 (34.034) Prec@5 67.969 (59.313) Epoch: [2][3990/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.9913 (3.1411) Prec@1 37.500 (34.042) Prec@5 61.719 (59.318) Epoch: [2][4000/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 3.1199 (3.1409) Prec@1 31.250 (34.045) Prec@5 60.156 (59.323) Epoch: [2][4010/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.9575 (3.1407) Prec@1 40.625 (34.049) Prec@5 67.188 (59.329) Epoch: [2][4020/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.2940 (3.1407) Prec@1 32.812 (34.052) Prec@5 57.812 (59.327) Epoch: [2][4030/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.0492 (3.1404) Prec@1 31.250 (34.059) Prec@5 64.062 (59.334) Epoch: [2][4040/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8867 (3.1404) Prec@1 29.688 (34.060) Prec@5 64.062 (59.334) Epoch: [2][4050/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.2657 (3.1405) Prec@1 32.812 (34.059) Prec@5 56.250 (59.331) Epoch: [2][4060/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 3.2555 (3.1404) Prec@1 39.844 (34.060) Prec@5 59.375 (59.329) Epoch: [2][4070/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 3.3440 (3.1403) Prec@1 28.125 (34.062) Prec@5 58.594 (59.332) Epoch: [2][4080/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 3.0338 (3.1402) Prec@1 40.625 (34.063) Prec@5 62.500 (59.333) Epoch: [2][4090/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 3.2755 (3.1401) Prec@1 34.375 (34.064) Prec@5 57.812 (59.334) Epoch: [2][4100/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.1636 (3.1402) Prec@1 35.156 (34.065) Prec@5 57.031 (59.337) Epoch: [2][4110/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 3.1874 (3.1401) Prec@1 32.031 (34.068) Prec@5 57.031 (59.338) Epoch: [2][4120/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 3.3170 (3.1401) Prec@1 28.125 (34.067) Prec@5 54.688 (59.336) Epoch: [2][4130/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.2129 (3.1400) Prec@1 34.375 (34.071) Prec@5 60.156 (59.336) Epoch: [2][4140/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.0471 (3.1396) Prec@1 38.281 (34.078) Prec@5 60.938 (59.343) Epoch: [2][4150/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.1139 (3.1397) Prec@1 38.281 (34.076) Prec@5 59.375 (59.344) Epoch: [2][4160/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.1247 (3.1398) Prec@1 34.375 (34.073) Prec@5 56.250 (59.339) Epoch: [2][4170/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.7403 (3.1398) Prec@1 39.844 (34.075) Prec@5 65.625 (59.338) Epoch: [2][4180/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.0910 (3.1397) Prec@1 31.250 (34.075) Prec@5 65.625 (59.343) Epoch: [2][4190/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 3.1257 (3.1393) Prec@1 28.906 (34.080) Prec@5 58.594 (59.349) Epoch: [2][4200/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 3.2711 (3.1393) Prec@1 28.906 (34.078) Prec@5 54.688 (59.347) Epoch: [2][4210/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.8766 (3.1392) Prec@1 36.719 (34.080) Prec@5 63.281 (59.351) Epoch: [2][4220/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.7730 (3.1391) Prec@1 45.312 (34.086) Prec@5 64.844 (59.352) Epoch: [2][4230/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.2116 (3.1390) Prec@1 35.938 (34.084) Prec@5 59.375 (59.349) Epoch: [2][4240/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.7909 (3.1389) Prec@1 39.062 (34.087) Prec@5 67.188 (59.351) Epoch: [2][4250/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.0227 (3.1387) Prec@1 34.375 (34.092) Prec@5 61.719 (59.355) Epoch: [2][4260/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 3.0147 (3.1386) Prec@1 36.719 (34.091) Prec@5 63.281 (59.357) Epoch: [2][4270/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 3.0163 (3.1387) Prec@1 36.719 (34.090) Prec@5 65.625 (59.354) Epoch: [2][4280/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.2487 (3.1387) Prec@1 29.688 (34.091) Prec@5 55.469 (59.357) Epoch: [2][4290/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.9127 (3.1383) Prec@1 38.281 (34.098) Prec@5 64.062 (59.364) Epoch: [2][4300/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.9639 (3.1379) Prec@1 38.281 (34.107) Prec@5 64.062 (59.370) Epoch: [2][4310/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.0497 (3.1379) Prec@1 38.281 (34.107) Prec@5 59.375 (59.372) Epoch: [2][4320/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 3.2409 (3.1379) Prec@1 35.156 (34.106) Prec@5 58.594 (59.374) Epoch: [2][4330/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.0952 (3.1379) Prec@1 36.719 (34.103) Prec@5 64.844 (59.375) Epoch: [2][4340/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.3635 (3.1379) Prec@1 26.562 (34.099) Prec@5 57.031 (59.376) Epoch: [2][4350/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 3.0025 (3.1377) Prec@1 39.062 (34.099) Prec@5 61.719 (59.377) Epoch: [2][4360/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.7836 (3.1376) Prec@1 37.500 (34.100) Prec@5 68.750 (59.378) Epoch: [2][4370/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.9997 (3.1378) Prec@1 34.375 (34.097) Prec@5 60.156 (59.374) Epoch: [2][4380/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.8686 (3.1375) Prec@1 35.938 (34.100) Prec@5 62.500 (59.379) Epoch: [2][4390/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 3.2594 (3.1376) Prec@1 30.469 (34.102) Prec@5 59.375 (59.377) Epoch: [2][4400/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.6897 (3.1373) Prec@1 46.094 (34.106) Prec@5 68.750 (59.383) Epoch: [2][4410/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 3.1189 (3.1373) Prec@1 27.344 (34.106) Prec@5 58.594 (59.380) Epoch: [2][4420/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.0972 (3.1372) Prec@1 30.469 (34.106) Prec@5 58.594 (59.379) Epoch: [2][4430/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.1691 (3.1373) Prec@1 32.031 (34.104) Prec@5 58.594 (59.380) Epoch: [2][4440/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.2181 (3.1374) Prec@1 30.469 (34.105) Prec@5 59.375 (59.378) Epoch: [2][4450/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.7574 (3.1373) Prec@1 39.844 (34.107) Prec@5 64.844 (59.379) Epoch: [2][4460/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 3.1244 (3.1372) Prec@1 35.156 (34.106) Prec@5 57.812 (59.381) Epoch: [2][4470/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7047 (3.1371) Prec@1 44.531 (34.109) Prec@5 63.281 (59.380) Epoch: [2][4480/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 3.0291 (3.1368) Prec@1 38.281 (34.116) Prec@5 56.250 (59.381) Epoch: [2][4490/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.9039 (3.1365) Prec@1 33.594 (34.124) Prec@5 64.062 (59.389) Epoch: [2][4500/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 3.4264 (3.1364) Prec@1 27.344 (34.128) Prec@5 53.906 (59.390) Epoch: [2][4510/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 3.0247 (3.1368) Prec@1 34.375 (34.125) Prec@5 63.281 (59.384) Epoch: [2][4520/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 3.1896 (3.1367) Prec@1 35.156 (34.123) Prec@5 57.812 (59.388) Epoch: [2][4530/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.1099 (3.1368) Prec@1 34.375 (34.123) Prec@5 64.844 (59.389) Epoch: [2][4540/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.7564 (3.1367) Prec@1 40.625 (34.123) Prec@5 63.281 (59.387) Epoch: [2][4550/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.9504 (3.1366) Prec@1 36.719 (34.125) Prec@5 63.281 (59.390) Epoch: [2][4560/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.1450 (3.1366) Prec@1 35.938 (34.127) Prec@5 57.031 (59.392) Epoch: [2][4570/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 3.3008 (3.1367) Prec@1 33.594 (34.129) Prec@5 57.812 (59.391) Epoch: [2][4580/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.2834 (3.1365) Prec@1 35.156 (34.130) Prec@5 57.031 (59.395) Epoch: [2][4590/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.6408 (3.1363) Prec@1 39.844 (34.134) Prec@5 70.312 (59.403) Epoch: [2][4600/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 3.2673 (3.1362) Prec@1 33.594 (34.134) Prec@5 53.906 (59.406) Epoch: [2][4610/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 3.5763 (3.1362) Prec@1 28.125 (34.133) Prec@5 49.219 (59.409) Epoch: [2][4620/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.2018 (3.1361) Prec@1 37.500 (34.136) Prec@5 59.375 (59.416) Epoch: [2][4630/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.9601 (3.1360) Prec@1 36.719 (34.133) Prec@5 63.281 (59.418) Epoch: [2][4640/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.8566 (3.1361) Prec@1 42.188 (34.132) Prec@5 64.844 (59.417) Epoch: [2][4650/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 3.1934 (3.1360) Prec@1 29.688 (34.134) Prec@5 62.500 (59.417) Epoch: [2][4660/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 3.2221 (3.1358) Prec@1 31.250 (34.137) Prec@5 59.375 (59.421) Epoch: [2][4670/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7639 (3.1357) Prec@1 42.188 (34.139) Prec@5 61.719 (59.423) Epoch: [2][4680/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.1340 (3.1355) Prec@1 35.938 (34.142) Prec@5 54.688 (59.424) Epoch: [2][4690/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.8870 (3.1356) Prec@1 39.062 (34.140) Prec@5 64.062 (59.423) Epoch: [2][4700/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 3.1398 (3.1356) Prec@1 33.594 (34.138) Prec@5 56.250 (59.419) Epoch: [2][4710/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 3.2667 (3.1355) Prec@1 33.594 (34.140) Prec@5 52.344 (59.421) Epoch: [2][4720/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.8867 (3.1351) Prec@1 37.500 (34.145) Prec@5 62.500 (59.425) Epoch: [2][4730/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 3.3447 (3.1349) Prec@1 29.688 (34.146) Prec@5 58.594 (59.430) Epoch: [2][4740/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 3.0271 (3.1348) Prec@1 38.281 (34.154) Prec@5 60.156 (59.432) Epoch: [2][4750/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 3.0740 (3.1346) Prec@1 38.281 (34.157) Prec@5 53.906 (59.432) Epoch: [2][4760/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.0589 (3.1346) Prec@1 39.062 (34.161) Prec@5 60.938 (59.435) Epoch: [2][4770/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.8837 (3.1345) Prec@1 39.844 (34.162) Prec@5 60.938 (59.437) Epoch: [2][4780/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.1917 (3.1345) Prec@1 34.375 (34.165) Prec@5 58.594 (59.439) Epoch: [2][4790/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.7772 (3.1342) Prec@1 41.406 (34.168) Prec@5 68.750 (59.444) Epoch: [2][4800/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5526 (3.1338) Prec@1 45.312 (34.175) Prec@5 71.094 (59.453) Epoch: [2][4810/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.8844 (3.1336) Prec@1 32.031 (34.176) Prec@5 70.312 (59.459) Epoch: [2][4820/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.9973 (3.1335) Prec@1 33.594 (34.176) Prec@5 63.281 (59.460) Epoch: [2][4830/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.2569 (3.1335) Prec@1 32.031 (34.172) Prec@5 60.938 (59.461) Epoch: [2][4840/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.1766 (3.1335) Prec@1 35.938 (34.173) Prec@5 55.469 (59.462) Epoch: [2][4850/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8790 (3.1333) Prec@1 38.281 (34.179) Prec@5 63.281 (59.463) Epoch: [2][4860/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.4995 (3.1334) Prec@1 25.781 (34.178) Prec@5 55.469 (59.462) Epoch: [2][4870/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 3.4518 (3.1335) Prec@1 28.125 (34.179) Prec@5 53.125 (59.461) Epoch: [2][4880/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 3.0169 (3.1333) Prec@1 35.156 (34.181) Prec@5 60.938 (59.463) Epoch: [2][4890/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 3.2463 (3.1332) Prec@1 27.344 (34.185) Prec@5 57.812 (59.468) Epoch: [2][4900/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.9920 (3.1330) Prec@1 39.062 (34.190) Prec@5 64.844 (59.473) Epoch: [2][4910/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 3.0490 (3.1328) Prec@1 35.156 (34.193) Prec@5 61.719 (59.477) Epoch: [2][4920/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.9289 (3.1327) Prec@1 36.719 (34.198) Prec@5 64.844 (59.481) Epoch: [2][4930/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.2678 (3.1324) Prec@1 30.469 (34.203) Prec@5 59.375 (59.487) Epoch: [2][4940/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.8310 (3.1324) Prec@1 45.312 (34.204) Prec@5 67.969 (59.486) Epoch: [2][4950/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.6020 (3.1322) Prec@1 28.906 (34.206) Prec@5 54.688 (59.489) Epoch: [2][4960/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 3.1828 (3.1323) Prec@1 33.594 (34.205) Prec@5 60.938 (59.487) Epoch: [2][4970/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 3.1767 (3.1322) Prec@1 31.250 (34.206) Prec@5 59.375 (59.488) Epoch: [2][4980/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.8189 (3.1321) Prec@1 36.719 (34.208) Prec@5 63.281 (59.492) Epoch: [2][4990/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.1751 (3.1319) Prec@1 32.812 (34.210) Prec@5 54.688 (59.495) Epoch: [2][5000/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.2261 (3.1319) Prec@1 33.594 (34.210) Prec@5 57.031 (59.495) Epoch: [2][5010/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 3.1998 (3.1318) Prec@1 34.375 (34.214) Prec@5 57.812 (59.498) Epoch: [2][5020/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.4591 (3.1319) Prec@1 32.031 (34.212) Prec@5 54.688 (59.497) Epoch: [2][5030/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.1996 (3.1317) Prec@1 28.906 (34.215) Prec@5 61.719 (59.500) Epoch: [2][5040/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.3780 (3.1314) Prec@1 26.562 (34.219) Prec@5 60.156 (59.505) Epoch: [2][5050/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 3.4059 (3.1312) Prec@1 29.688 (34.219) Prec@5 57.812 (59.506) Epoch: [2][5060/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.8577 (3.1311) Prec@1 39.062 (34.221) Prec@5 60.156 (59.506) Epoch: [2][5070/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 3.3314 (3.1310) Prec@1 31.250 (34.225) Prec@5 53.125 (59.504) Epoch: [2][5080/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.1303 (3.1308) Prec@1 36.719 (34.229) Prec@5 60.156 (59.506) Epoch: [2][5090/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 3.1388 (3.1308) Prec@1 35.156 (34.229) Prec@5 55.469 (59.506) Epoch: [2][5100/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 3.0562 (3.1307) Prec@1 34.375 (34.229) Prec@5 55.469 (59.508) Epoch: [2][5110/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 3.1879 (3.1306) Prec@1 29.688 (34.230) Prec@5 58.594 (59.507) Epoch: [2][5120/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.9141 (3.1305) Prec@1 36.719 (34.233) Prec@5 62.500 (59.509) Epoch: [2][5130/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.9821 (3.1305) Prec@1 35.156 (34.231) Prec@5 61.719 (59.510) Epoch: [2][5140/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 3.2598 (3.1305) Prec@1 27.344 (34.231) Prec@5 57.031 (59.510) Epoch: [2][5150/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.9547 (3.1302) Prec@1 35.156 (34.237) Prec@5 62.500 (59.517) Epoch: [2][5160/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.9152 (3.1298) Prec@1 41.406 (34.243) Prec@5 63.281 (59.523) Epoch: [2][5170/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.4853 (3.1296) Prec@1 28.906 (34.245) Prec@5 57.812 (59.524) Epoch: [2][5180/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.2412 (3.1296) Prec@1 28.125 (34.246) Prec@5 58.594 (59.527) Epoch: [2][5190/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 3.2914 (3.1294) Prec@1 35.938 (34.249) Prec@5 57.031 (59.532) Epoch: [2][5200/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.0071 (3.1293) Prec@1 32.031 (34.248) Prec@5 58.594 (59.532) Epoch: [2][5210/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.2080 (3.1291) Prec@1 35.156 (34.252) Prec@5 57.812 (59.534) Epoch: [2][5220/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 3.0130 (3.1289) Prec@1 27.344 (34.254) Prec@5 61.719 (59.537) Epoch: [2][5230/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 3.3837 (3.1289) Prec@1 30.469 (34.257) Prec@5 48.438 (59.539) Epoch: [2][5240/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.9105 (3.1288) Prec@1 38.281 (34.260) Prec@5 66.406 (59.540) Epoch: [2][5250/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 3.2164 (3.1287) Prec@1 33.594 (34.260) Prec@5 56.250 (59.539) Epoch: [2][5260/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 3.3796 (3.1288) Prec@1 30.469 (34.261) Prec@5 55.469 (59.537) Epoch: [2][5270/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.1036 (3.1287) Prec@1 37.500 (34.267) Prec@5 60.938 (59.539) Epoch: [2][5280/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 3.0200 (3.1285) Prec@1 35.938 (34.271) Prec@5 64.062 (59.543) Epoch: [2][5290/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.9763 (3.1285) Prec@1 39.062 (34.273) Prec@5 63.281 (59.543) Epoch: [2][5300/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 3.1747 (3.1283) Prec@1 39.844 (34.278) Prec@5 60.156 (59.547) Epoch: [2][5310/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.0359 (3.1282) Prec@1 36.719 (34.278) Prec@5 57.812 (59.547) Epoch: [2][5320/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 3.3986 (3.1283) Prec@1 30.469 (34.278) Prec@5 56.250 (59.543) Epoch: [2][5330/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.8719 (3.1284) Prec@1 39.844 (34.278) Prec@5 64.062 (59.542) Epoch: [2][5340/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 3.1585 (3.1284) Prec@1 29.688 (34.279) Prec@5 59.375 (59.543) Epoch: [2][5350/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 3.1741 (3.1281) Prec@1 30.469 (34.281) Prec@5 59.375 (59.549) Epoch: [2][5360/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 2.9630 (3.1279) Prec@1 35.156 (34.283) Prec@5 66.406 (59.552) Epoch: [2][5370/10010] Time 0.346 (0.333) Data 0.001 (0.002) Loss 3.2400 (3.1278) Prec@1 31.250 (34.283) Prec@5 56.250 (59.555) Epoch: [2][5380/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.5712 (3.1277) Prec@1 37.500 (34.284) Prec@5 70.312 (59.557) Epoch: [2][5390/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.8769 (3.1276) Prec@1 35.156 (34.288) Prec@5 65.625 (59.559) Epoch: [2][5400/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 3.0357 (3.1274) Prec@1 35.938 (34.293) Prec@5 62.500 (59.563) Epoch: [2][5410/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 3.0570 (3.1273) Prec@1 32.812 (34.294) Prec@5 60.156 (59.565) Epoch: [2][5420/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 3.3602 (3.1272) Prec@1 32.812 (34.296) Prec@5 53.906 (59.568) Epoch: [2][5430/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.9565 (3.1269) Prec@1 34.375 (34.299) Prec@5 63.281 (59.574) Epoch: [2][5440/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 3.3175 (3.1269) Prec@1 26.562 (34.298) Prec@5 59.375 (59.575) Epoch: [2][5450/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.9997 (3.1268) Prec@1 39.844 (34.302) Prec@5 62.500 (59.578) Epoch: [2][5460/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 3.0361 (3.1266) Prec@1 36.719 (34.307) Prec@5 64.062 (59.583) Epoch: [2][5470/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 3.1913 (3.1263) Prec@1 35.156 (34.311) Prec@5 60.938 (59.590) Epoch: [2][5480/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 3.1583 (3.1262) Prec@1 35.156 (34.312) Prec@5 57.031 (59.590) Epoch: [2][5490/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 3.1982 (3.1260) Prec@1 33.594 (34.317) Prec@5 54.688 (59.593) Epoch: [2][5500/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 3.1446 (3.1260) Prec@1 42.188 (34.319) Prec@5 59.375 (59.593) Epoch: [2][5510/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 3.3977 (3.1260) Prec@1 32.812 (34.320) Prec@5 52.344 (59.587) Epoch: [2][5520/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 3.6227 (3.1261) Prec@1 28.906 (34.319) Prec@5 48.438 (59.585) Epoch: [2][5530/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 3.2455 (3.1261) Prec@1 28.125 (34.317) Prec@5 57.812 (59.585) Epoch: [2][5540/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 3.2675 (3.1262) Prec@1 29.688 (34.318) Prec@5 60.156 (59.583) Epoch: [2][5550/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 3.4418 (3.1262) Prec@1 32.812 (34.320) Prec@5 52.344 (59.584) Epoch: [2][5560/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 3.0097 (3.1260) Prec@1 38.281 (34.322) Prec@5 59.375 (59.583) Epoch: [2][5570/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 3.2430 (3.1259) Prec@1 32.812 (34.324) Prec@5 57.812 (59.586) Epoch: [2][5580/10010] Time 0.315 (0.333) Data 0.001 (0.002) Loss 3.0913 (3.1258) Prec@1 36.719 (34.325) Prec@5 57.812 (59.589) Epoch: [2][5590/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 2.8462 (3.1256) Prec@1 42.188 (34.333) Prec@5 63.281 (59.594) Epoch: [2][5600/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 3.0002 (3.1255) Prec@1 32.812 (34.333) Prec@5 62.500 (59.594) Epoch: [2][5610/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.8304 (3.1254) Prec@1 35.156 (34.336) Prec@5 69.531 (59.598) Epoch: [2][5620/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.9304 (3.1253) Prec@1 42.188 (34.339) Prec@5 60.156 (59.598) Epoch: [2][5630/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 3.0674 (3.1252) Prec@1 35.156 (34.341) Prec@5 60.938 (59.600) Epoch: [2][5640/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 2.7553 (3.1252) Prec@1 41.406 (34.341) Prec@5 65.625 (59.599) Epoch: [2][5650/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 3.2036 (3.1252) Prec@1 33.594 (34.341) Prec@5 55.469 (59.602) Epoch: [2][5660/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.8074 (3.1250) Prec@1 39.844 (34.344) Prec@5 65.625 (59.606) Epoch: [2][5670/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 3.5864 (3.1250) Prec@1 24.219 (34.345) Prec@5 48.438 (59.605) Epoch: [2][5680/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 2.8734 (3.1250) Prec@1 40.625 (34.344) Prec@5 63.281 (59.606) Epoch: [2][5690/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 3.2290 (3.1248) Prec@1 28.906 (34.347) Prec@5 57.812 (59.609) Epoch: [2][5700/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.9537 (3.1249) Prec@1 33.594 (34.346) Prec@5 59.375 (59.608) Epoch: [2][5710/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 3.1519 (3.1249) Prec@1 30.469 (34.343) Prec@5 54.688 (59.606) Epoch: [2][5720/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 3.3538 (3.1248) Prec@1 27.344 (34.346) Prec@5 57.812 (59.607) Epoch: [2][5730/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.8770 (3.1248) Prec@1 39.062 (34.346) Prec@5 61.719 (59.607) Epoch: [2][5740/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 3.0310 (3.1246) Prec@1 40.625 (34.348) Prec@5 58.594 (59.610) Epoch: [2][5750/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.7815 (3.1244) Prec@1 36.719 (34.351) Prec@5 64.062 (59.614) Epoch: [2][5760/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.7351 (3.1241) Prec@1 36.719 (34.352) Prec@5 66.406 (59.617) Epoch: [2][5770/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 3.0778 (3.1242) Prec@1 39.062 (34.354) Prec@5 57.031 (59.617) Epoch: [2][5780/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 3.1880 (3.1240) Prec@1 28.906 (34.353) Prec@5 58.594 (59.618) Epoch: [2][5790/10010] Time 0.682 (0.333) Data 0.515 (0.003) Loss 2.9108 (3.1239) Prec@1 32.031 (34.352) Prec@5 60.156 (59.619) Epoch: [2][5800/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 3.2728 (3.1241) Prec@1 34.375 (34.350) Prec@5 59.375 (59.616) Epoch: [2][5810/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 3.0219 (3.1240) Prec@1 32.812 (34.351) Prec@5 64.844 (59.617) Epoch: [2][5820/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 2.9475 (3.1239) Prec@1 33.594 (34.353) Prec@5 65.625 (59.620) Epoch: [2][5830/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 3.1577 (3.1238) Prec@1 35.156 (34.355) Prec@5 57.812 (59.622) Epoch: [2][5840/10010] Time 0.347 (0.333) Data 0.000 (0.003) Loss 3.3190 (3.1239) Prec@1 27.344 (34.354) Prec@5 53.906 (59.619) Epoch: [2][5850/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 3.1513 (3.1239) Prec@1 38.281 (34.353) Prec@5 60.156 (59.621) Epoch: [2][5860/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 3.4397 (3.1238) Prec@1 34.375 (34.354) Prec@5 52.344 (59.623) Epoch: [2][5870/10010] Time 0.322 (0.333) Data 0.000 (0.004) Loss 3.1901 (3.1237) Prec@1 35.938 (34.356) Prec@5 62.500 (59.625) Epoch: [2][5880/10010] Time 0.331 (0.333) Data 0.000 (0.004) Loss 3.1267 (3.1238) Prec@1 39.062 (34.355) Prec@5 61.719 (59.624) Epoch: [2][5890/10010] Time 0.346 (0.333) Data 0.000 (0.004) Loss 2.7391 (3.1239) Prec@1 40.625 (34.355) Prec@5 68.750 (59.624) Epoch: [2][5900/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 3.1152 (3.1239) Prec@1 34.375 (34.355) Prec@5 63.281 (59.625) Epoch: [2][5910/10010] Time 0.366 (0.334) Data 0.223 (0.004) Loss 3.0640 (3.1239) Prec@1 31.250 (34.354) Prec@5 61.719 (59.625) Epoch: [2][5920/10010] Time 0.328 (0.334) Data 0.032 (0.004) Loss 3.0477 (3.1237) Prec@1 40.625 (34.358) Prec@5 61.719 (59.626) Epoch: [2][5930/10010] Time 0.589 (0.334) Data 0.444 (0.004) Loss 3.3613 (3.1239) Prec@1 33.594 (34.356) Prec@5 57.812 (59.620) Epoch: [2][5940/10010] Time 0.347 (0.334) Data 0.014 (0.004) Loss 3.3866 (3.1240) Prec@1 31.250 (34.352) Prec@5 53.906 (59.618) Epoch: [2][5950/10010] Time 0.318 (0.334) Data 0.001 (0.004) Loss 3.1556 (3.1241) Prec@1 33.594 (34.353) Prec@5 60.938 (59.619) Epoch: [2][5960/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 3.1529 (3.1239) Prec@1 33.594 (34.352) Prec@5 55.469 (59.621) Epoch: [2][5970/10010] Time 0.323 (0.334) Data 0.000 (0.004) Loss 2.8174 (3.1237) Prec@1 38.281 (34.356) Prec@5 64.062 (59.627) Epoch: [2][5980/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 3.0437 (3.1237) Prec@1 42.188 (34.357) Prec@5 62.500 (59.626) Epoch: [2][5990/10010] Time 0.340 (0.334) Data 0.000 (0.004) Loss 3.0128 (3.1234) Prec@1 34.375 (34.361) Prec@5 62.500 (59.630) Epoch: [2][6000/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 3.2337 (3.1236) Prec@1 32.812 (34.360) Prec@5 60.938 (59.629) Epoch: [2][6010/10010] Time 0.332 (0.334) Data 0.001 (0.004) Loss 3.1970 (3.1235) Prec@1 36.719 (34.364) Prec@5 60.156 (59.632) Epoch: [2][6020/10010] Time 0.330 (0.334) Data 0.001 (0.004) Loss 2.6505 (3.1233) Prec@1 39.844 (34.366) Prec@5 69.531 (59.637) Epoch: [2][6030/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.9356 (3.1232) Prec@1 35.156 (34.367) Prec@5 58.594 (59.641) Epoch: [2][6040/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 3.5950 (3.1232) Prec@1 30.469 (34.368) Prec@5 53.906 (59.639) Epoch: [2][6050/10010] Time 0.346 (0.334) Data 0.001 (0.004) Loss 2.7499 (3.1231) Prec@1 37.500 (34.369) Prec@5 67.188 (59.642) Epoch: [2][6060/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 3.2714 (3.1232) Prec@1 32.031 (34.371) Prec@5 52.344 (59.641) Epoch: [2][6070/10010] Time 0.350 (0.334) Data 0.000 (0.004) Loss 2.8480 (3.1230) Prec@1 38.281 (34.375) Prec@5 62.500 (59.643) Epoch: [2][6080/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.9933 (3.1230) Prec@1 32.812 (34.378) Prec@5 60.938 (59.642) Epoch: [2][6090/10010] Time 0.544 (0.334) Data 0.403 (0.004) Loss 2.9193 (3.1228) Prec@1 34.375 (34.380) Prec@5 58.594 (59.645) Epoch: [2][6100/10010] Time 3.424 (0.334) Data 3.276 (0.005) Loss 2.9493 (3.1227) Prec@1 31.250 (34.380) Prec@5 57.812 (59.645) Epoch: [2][6110/10010] Time 0.320 (0.334) Data 0.001 (0.005) Loss 3.4572 (3.1227) Prec@1 24.219 (34.380) Prec@5 48.438 (59.644) Epoch: [2][6120/10010] Time 0.317 (0.334) Data 0.001 (0.005) Loss 3.1116 (3.1225) Prec@1 35.156 (34.383) Prec@5 60.938 (59.648) Epoch: [2][6130/10010] Time 0.342 (0.334) Data 0.000 (0.005) Loss 3.0276 (3.1224) Prec@1 36.719 (34.385) Prec@5 62.500 (59.651) Epoch: [2][6140/10010] Time 0.326 (0.334) Data 0.000 (0.005) Loss 2.9375 (3.1223) Prec@1 35.938 (34.388) Prec@5 60.156 (59.656) Epoch: [2][6150/10010] Time 0.336 (0.334) Data 0.000 (0.005) Loss 3.0814 (3.1221) Prec@1 35.156 (34.390) Prec@5 57.031 (59.658) Epoch: [2][6160/10010] Time 0.321 (0.334) Data 0.001 (0.005) Loss 2.8254 (3.1219) Prec@1 39.844 (34.394) Prec@5 64.844 (59.663) Epoch: [2][6170/10010] Time 0.336 (0.334) Data 0.000 (0.005) Loss 3.1867 (3.1218) Prec@1 35.938 (34.394) Prec@5 60.938 (59.666) Epoch: [2][6180/10010] Time 0.339 (0.334) Data 0.001 (0.005) Loss 2.7938 (3.1216) Prec@1 41.406 (34.399) Prec@5 62.500 (59.668) Epoch: [2][6190/10010] Time 0.324 (0.334) Data 0.001 (0.005) Loss 2.7161 (3.1214) Prec@1 40.625 (34.400) Prec@5 69.531 (59.672) Epoch: [2][6200/10010] Time 0.341 (0.334) Data 0.001 (0.005) Loss 2.7521 (3.1212) Prec@1 42.188 (34.404) Prec@5 67.188 (59.677) Epoch: [2][6210/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 3.1521 (3.1213) Prec@1 35.156 (34.402) Prec@5 59.375 (59.677) Epoch: [2][6220/10010] Time 0.327 (0.335) Data 0.001 (0.005) Loss 2.8301 (3.1210) Prec@1 38.281 (34.406) Prec@5 64.062 (59.681) Epoch: [2][6230/10010] Time 0.318 (0.335) Data 0.001 (0.005) Loss 3.1712 (3.1210) Prec@1 33.594 (34.409) Prec@5 60.938 (59.684) Epoch: [2][6240/10010] Time 0.341 (0.335) Data 0.001 (0.005) Loss 2.9788 (3.1209) Prec@1 39.844 (34.412) Prec@5 63.281 (59.685) Epoch: [2][6250/10010] Time 0.318 (0.335) Data 0.000 (0.005) Loss 3.1827 (3.1206) Prec@1 38.281 (34.417) Prec@5 66.406 (59.692) Epoch: [2][6260/10010] Time 0.334 (0.335) Data 0.001 (0.005) Loss 2.9329 (3.1205) Prec@1 39.062 (34.421) Prec@5 59.375 (59.694) Epoch: [2][6270/10010] Time 0.317 (0.335) Data 0.001 (0.006) Loss 2.9661 (3.1204) Prec@1 35.156 (34.425) Prec@5 58.594 (59.695) Epoch: [2][6280/10010] Time 0.316 (0.335) Data 0.001 (0.006) Loss 3.3331 (3.1203) Prec@1 25.781 (34.426) Prec@5 55.469 (59.698) Epoch: [2][6290/10010] Time 0.324 (0.335) Data 0.001 (0.006) Loss 3.1322 (3.1203) Prec@1 33.594 (34.428) Prec@5 61.719 (59.697) Epoch: [2][6300/10010] Time 1.360 (0.336) Data 1.222 (0.006) Loss 3.2638 (3.1203) Prec@1 34.375 (34.430) Prec@5 60.156 (59.696) Epoch: [2][6310/10010] Time 0.328 (0.335) Data 0.001 (0.006) Loss 2.8436 (3.1201) Prec@1 34.375 (34.431) Prec@5 65.625 (59.701) Epoch: [2][6320/10010] Time 0.320 (0.335) Data 0.154 (0.006) Loss 2.8584 (3.1202) Prec@1 41.406 (34.429) Prec@5 66.406 (59.699) Epoch: [2][6330/10010] Time 0.336 (0.335) Data 0.000 (0.006) Loss 3.0717 (3.1201) Prec@1 40.625 (34.432) Prec@5 60.156 (59.699) Epoch: [2][6340/10010] Time 0.341 (0.336) Data 0.001 (0.006) Loss 3.1127 (3.1202) Prec@1 35.156 (34.430) Prec@5 59.375 (59.697) Epoch: [2][6350/10010] Time 0.344 (0.336) Data 0.001 (0.006) Loss 3.2196 (3.1201) Prec@1 30.469 (34.431) Prec@5 61.719 (59.698) Epoch: [2][6360/10010] Time 1.080 (0.336) Data 0.941 (0.006) Loss 2.8939 (3.1200) Prec@1 35.156 (34.432) Prec@5 67.969 (59.701) Epoch: [2][6370/10010] Time 0.338 (0.336) Data 0.001 (0.006) Loss 2.6091 (3.1199) Prec@1 41.406 (34.431) Prec@5 67.188 (59.701) Epoch: [2][6380/10010] Time 0.334 (0.336) Data 0.001 (0.006) Loss 3.0283 (3.1197) Prec@1 34.375 (34.434) Prec@5 60.938 (59.702) Epoch: [2][6390/10010] Time 0.324 (0.336) Data 0.001 (0.007) Loss 3.2941 (3.1197) Prec@1 32.812 (34.436) Prec@5 58.594 (59.705) Epoch: [2][6400/10010] Time 0.324 (0.336) Data 0.000 (0.007) Loss 3.1756 (3.1197) Prec@1 33.594 (34.437) Prec@5 57.031 (59.704) Epoch: [2][6410/10010] Time 0.330 (0.336) Data 0.001 (0.007) Loss 2.9130 (3.1196) Prec@1 39.062 (34.439) Prec@5 62.500 (59.707) Epoch: [2][6420/10010] Time 0.331 (0.336) Data 0.001 (0.007) Loss 3.2458 (3.1197) Prec@1 33.594 (34.436) Prec@5 58.594 (59.704) Epoch: [2][6430/10010] Time 0.317 (0.336) Data 0.000 (0.007) Loss 2.8002 (3.1195) Prec@1 41.406 (34.438) Prec@5 70.312 (59.705) Epoch: [2][6440/10010] Time 0.334 (0.336) Data 0.001 (0.007) Loss 2.8545 (3.1193) Prec@1 40.625 (34.443) Prec@5 60.938 (59.707) Epoch: [2][6450/10010] Time 0.319 (0.336) Data 0.001 (0.007) Loss 3.4950 (3.1193) Prec@1 26.562 (34.443) Prec@5 53.906 (59.707) Epoch: [2][6460/10010] Time 0.330 (0.336) Data 0.000 (0.007) Loss 2.6338 (3.1192) Prec@1 46.875 (34.443) Prec@5 69.531 (59.708) Epoch: [2][6470/10010] Time 0.331 (0.336) Data 0.000 (0.007) Loss 3.1822 (3.1192) Prec@1 28.906 (34.442) Prec@5 56.250 (59.707) Epoch: [2][6480/10010] Time 0.326 (0.336) Data 0.001 (0.007) Loss 2.7460 (3.1190) Prec@1 38.281 (34.445) Prec@5 61.719 (59.708) Epoch: [2][6490/10010] Time 0.323 (0.336) Data 0.000 (0.007) Loss 3.2461 (3.1191) Prec@1 35.156 (34.445) Prec@5 64.062 (59.708) Epoch: [2][6500/10010] Time 0.315 (0.336) Data 0.000 (0.007) Loss 2.7466 (3.1189) Prec@1 44.531 (34.451) Prec@5 64.062 (59.711) Epoch: [2][6510/10010] Time 0.337 (0.336) Data 0.000 (0.007) Loss 3.1370 (3.1189) Prec@1 38.281 (34.453) Prec@5 56.250 (59.709) Epoch: [2][6520/10010] Time 0.329 (0.336) Data 0.000 (0.007) Loss 3.2585 (3.1189) Prec@1 32.031 (34.450) Prec@5 54.688 (59.711) Epoch: [2][6530/10010] Time 0.330 (0.336) Data 0.001 (0.007) Loss 3.4828 (3.1189) Prec@1 27.344 (34.448) Prec@5 52.344 (59.710) Epoch: [2][6540/10010] Time 0.322 (0.336) Data 0.001 (0.007) Loss 3.0341 (3.1187) Prec@1 33.594 (34.454) Prec@5 63.281 (59.713) Epoch: [2][6550/10010] Time 0.297 (0.336) Data 0.002 (0.007) Loss 3.0329 (3.1185) Prec@1 32.031 (34.456) Prec@5 59.375 (59.716) Epoch: [2][6560/10010] Time 0.340 (0.337) Data 0.014 (0.008) Loss 3.0212 (3.1183) Prec@1 35.938 (34.459) Prec@5 60.156 (59.718) Epoch: [2][6570/10010] Time 0.327 (0.337) Data 0.001 (0.008) Loss 2.9008 (3.1182) Prec@1 39.844 (34.462) Prec@5 65.625 (59.721) Epoch: [2][6580/10010] Time 0.330 (0.337) Data 0.000 (0.008) Loss 3.0883 (3.1179) Prec@1 37.500 (34.468) Prec@5 59.375 (59.725) Epoch: [2][6590/10010] Time 0.320 (0.337) Data 0.001 (0.008) Loss 2.4872 (3.1177) Prec@1 42.188 (34.470) Prec@5 69.531 (59.728) Epoch: [2][6600/10010] Time 0.544 (0.337) Data 0.412 (0.008) Loss 2.8813 (3.1176) Prec@1 37.500 (34.472) Prec@5 61.719 (59.731) Epoch: [2][6610/10010] Time 0.318 (0.337) Data 0.000 (0.008) Loss 2.8396 (3.1173) Prec@1 43.750 (34.479) Prec@5 63.281 (59.735) Epoch: [2][6620/10010] Time 0.328 (0.337) Data 0.001 (0.008) Loss 3.2438 (3.1172) Prec@1 32.812 (34.480) Prec@5 60.938 (59.739) Epoch: [2][6630/10010] Time 0.951 (0.337) Data 0.814 (0.008) Loss 2.7921 (3.1170) Prec@1 39.062 (34.481) Prec@5 64.062 (59.740) Epoch: [2][6640/10010] Time 0.320 (0.337) Data 0.001 (0.008) Loss 2.8922 (3.1170) Prec@1 41.406 (34.481) Prec@5 67.969 (59.743) Epoch: [2][6650/10010] Time 0.331 (0.337) Data 0.000 (0.009) Loss 2.8136 (3.1168) Prec@1 35.938 (34.482) Prec@5 64.844 (59.746) Epoch: [2][6660/10010] Time 0.322 (0.337) Data 0.001 (0.009) Loss 3.0353 (3.1167) Prec@1 38.281 (34.485) Prec@5 60.156 (59.747) Epoch: [2][6670/10010] Time 0.316 (0.337) Data 0.000 (0.009) Loss 3.4572 (3.1166) Prec@1 28.906 (34.486) Prec@5 51.562 (59.749) Epoch: [2][6680/10010] Time 0.340 (0.337) Data 0.001 (0.009) Loss 2.9647 (3.1164) Prec@1 38.281 (34.490) Prec@5 64.062 (59.754) Epoch: [2][6690/10010] Time 0.342 (0.337) Data 0.001 (0.009) Loss 3.0590 (3.1164) Prec@1 34.375 (34.490) Prec@5 63.281 (59.756) Epoch: [2][6700/10010] Time 0.330 (0.337) Data 0.001 (0.009) Loss 3.2654 (3.1163) Prec@1 34.375 (34.493) Prec@5 54.688 (59.757) Epoch: [2][6710/10010] Time 0.326 (0.337) Data 0.010 (0.009) Loss 3.1790 (3.1161) Prec@1 32.031 (34.496) Prec@5 56.250 (59.759) Epoch: [2][6720/10010] Time 0.513 (0.337) Data 0.373 (0.009) Loss 3.3650 (3.1160) Prec@1 33.594 (34.498) Prec@5 54.688 (59.762) Epoch: [2][6730/10010] Time 0.328 (0.337) Data 0.001 (0.009) Loss 3.2479 (3.1159) Prec@1 26.562 (34.500) Prec@5 55.469 (59.765) Epoch: [2][6740/10010] Time 1.350 (0.338) Data 1.196 (0.010) Loss 3.2808 (3.1159) Prec@1 29.688 (34.502) Prec@5 57.812 (59.769) Epoch: [2][6750/10010] Time 1.287 (0.338) Data 1.150 (0.010) Loss 3.3961 (3.1156) Prec@1 32.031 (34.508) Prec@5 51.562 (59.773) Epoch: [2][6760/10010] Time 0.323 (0.338) Data 0.001 (0.010) Loss 2.7173 (3.1155) Prec@1 36.719 (34.511) Prec@5 69.531 (59.776) Epoch: [2][6770/10010] Time 0.329 (0.338) Data 0.000 (0.010) Loss 2.7464 (3.1154) Prec@1 39.844 (34.513) Prec@5 63.281 (59.777) Epoch: [2][6780/10010] Time 0.317 (0.338) Data 0.001 (0.010) Loss 3.0556 (3.1155) Prec@1 36.719 (34.510) Prec@5 59.375 (59.776) Epoch: [2][6790/10010] Time 0.343 (0.338) Data 0.001 (0.010) Loss 2.9930 (3.1154) Prec@1 39.062 (34.511) Prec@5 61.719 (59.775) Epoch: [2][6800/10010] Time 0.315 (0.338) Data 0.001 (0.010) Loss 3.2096 (3.1154) Prec@1 36.719 (34.512) Prec@5 57.812 (59.777) Epoch: [2][6810/10010] Time 0.321 (0.338) Data 0.015 (0.010) Loss 2.9090 (3.1154) Prec@1 39.062 (34.514) Prec@5 65.625 (59.778) Epoch: [2][6820/10010] Time 0.343 (0.338) Data 0.165 (0.010) Loss 3.3507 (3.1154) Prec@1 35.938 (34.518) Prec@5 56.250 (59.779) Epoch: [2][6830/10010] Time 0.335 (0.338) Data 0.001 (0.010) Loss 2.9643 (3.1154) Prec@1 29.688 (34.517) Prec@5 65.625 (59.779) Epoch: [2][6840/10010] Time 0.318 (0.338) Data 0.000 (0.010) Loss 3.2928 (3.1152) Prec@1 35.156 (34.520) Prec@5 55.469 (59.782) Epoch: [2][6850/10010] Time 0.321 (0.338) Data 0.000 (0.010) Loss 3.2003 (3.1151) Prec@1 33.594 (34.521) Prec@5 63.281 (59.783) Epoch: [2][6860/10010] Time 0.317 (0.338) Data 0.011 (0.011) Loss 3.0830 (3.1150) Prec@1 32.031 (34.522) Prec@5 56.250 (59.785) Epoch: [2][6870/10010] Time 0.337 (0.338) Data 0.013 (0.011) Loss 3.4285 (3.1151) Prec@1 31.250 (34.521) Prec@5 51.562 (59.785) Epoch: [2][6880/10010] Time 0.329 (0.339) Data 0.055 (0.011) Loss 2.7634 (3.1148) Prec@1 39.844 (34.526) Prec@5 67.188 (59.789) Epoch: [2][6890/10010] Time 0.323 (0.339) Data 0.000 (0.011) Loss 3.0035 (3.1148) Prec@1 42.969 (34.527) Prec@5 58.594 (59.789) Epoch: [2][6900/10010] Time 0.317 (0.339) Data 0.001 (0.012) Loss 3.3070 (3.1149) Prec@1 34.375 (34.526) Prec@5 55.469 (59.787) Epoch: [2][6910/10010] Time 0.316 (0.339) Data 0.000 (0.012) Loss 3.1996 (3.1148) Prec@1 35.938 (34.527) Prec@5 55.469 (59.789) Epoch: [2][6920/10010] Time 0.323 (0.339) Data 0.000 (0.012) Loss 3.1553 (3.1148) Prec@1 30.469 (34.527) Prec@5 60.938 (59.790) Epoch: [2][6930/10010] Time 0.322 (0.339) Data 0.001 (0.012) Loss 2.9641 (3.1145) Prec@1 37.500 (34.531) Prec@5 61.719 (59.794) Epoch: [2][6940/10010] Time 0.326 (0.339) Data 0.001 (0.012) Loss 3.1025 (3.1143) Prec@1 32.812 (34.533) Prec@5 61.719 (59.799) Epoch: [2][6950/10010] Time 0.343 (0.339) Data 0.001 (0.012) Loss 2.9598 (3.1143) Prec@1 37.500 (34.533) Prec@5 60.938 (59.798) Epoch: [2][6960/10010] Time 0.337 (0.339) Data 0.046 (0.012) Loss 3.1256 (3.1142) Prec@1 36.719 (34.535) Prec@5 60.156 (59.801) Epoch: [2][6970/10010] Time 0.600 (0.339) Data 0.463 (0.012) Loss 3.0330 (3.1141) Prec@1 35.938 (34.536) Prec@5 60.938 (59.802) Epoch: [2][6980/10010] Time 0.328 (0.339) Data 0.001 (0.012) Loss 3.0582 (3.1141) Prec@1 32.812 (34.538) Prec@5 60.938 (59.801) Epoch: [2][6990/10010] Time 1.903 (0.340) Data 1.763 (0.012) Loss 3.1150 (3.1140) Prec@1 32.031 (34.539) Prec@5 57.812 (59.803) Epoch: [2][7000/10010] Time 0.320 (0.340) Data 0.001 (0.012) Loss 3.1026 (3.1140) Prec@1 35.938 (34.540) Prec@5 63.281 (59.803) Epoch: [2][7010/10010] Time 0.321 (0.340) Data 0.001 (0.012) Loss 2.9609 (3.1138) Prec@1 35.938 (34.540) Prec@5 64.062 (59.805) Epoch: [2][7020/10010] Time 0.315 (0.340) Data 0.001 (0.013) Loss 2.7916 (3.1137) Prec@1 43.750 (34.541) Prec@5 64.062 (59.808) Epoch: [2][7030/10010] Time 0.316 (0.340) Data 0.000 (0.013) Loss 2.7893 (3.1135) Prec@1 44.531 (34.544) Prec@5 62.500 (59.810) Epoch: [2][7040/10010] Time 0.339 (0.340) Data 0.001 (0.013) Loss 3.1488 (3.1133) Prec@1 34.375 (34.548) Prec@5 62.500 (59.813) Epoch: [2][7050/10010] Time 0.331 (0.340) Data 0.000 (0.013) Loss 3.0450 (3.1132) Prec@1 31.250 (34.549) Prec@5 60.938 (59.812) Epoch: [2][7060/10010] Time 1.272 (0.340) Data 1.128 (0.013) Loss 3.1199 (3.1132) Prec@1 35.156 (34.550) Prec@5 59.375 (59.813) Epoch: [2][7070/10010] Time 0.320 (0.340) Data 0.013 (0.013) Loss 2.8772 (3.1130) Prec@1 34.375 (34.551) Prec@5 65.625 (59.815) Epoch: [2][7080/10010] Time 0.324 (0.340) Data 0.000 (0.013) Loss 2.9816 (3.1130) Prec@1 41.406 (34.552) Prec@5 64.062 (59.814) Epoch: [2][7090/10010] Time 0.320 (0.340) Data 0.001 (0.014) Loss 3.1764 (3.1129) Prec@1 33.594 (34.554) Prec@5 53.906 (59.815) Epoch: [2][7100/10010] Time 0.322 (0.340) Data 0.087 (0.014) Loss 2.8673 (3.1127) Prec@1 37.500 (34.557) Prec@5 64.062 (59.816) Epoch: [2][7110/10010] Time 0.388 (0.340) Data 0.249 (0.014) Loss 3.1566 (3.1127) Prec@1 38.281 (34.560) Prec@5 58.594 (59.817) Epoch: [2][7120/10010] Time 1.071 (0.341) Data 0.934 (0.014) Loss 3.2410 (3.1126) Prec@1 35.938 (34.562) Prec@5 60.156 (59.819) Epoch: [2][7130/10010] Time 0.329 (0.341) Data 0.011 (0.014) Loss 3.0156 (3.1125) Prec@1 35.156 (34.561) Prec@5 61.719 (59.819) Epoch: [2][7140/10010] Time 0.321 (0.341) Data 0.001 (0.014) Loss 2.9549 (3.1125) Prec@1 42.188 (34.564) Prec@5 60.938 (59.821) Epoch: [2][7150/10010] Time 0.768 (0.341) Data 0.641 (0.014) Loss 3.2989 (3.1124) Prec@1 29.688 (34.566) Prec@5 55.469 (59.822) Epoch: [2][7160/10010] Time 0.344 (0.341) Data 0.001 (0.014) Loss 3.1450 (3.1123) Prec@1 34.375 (34.568) Prec@5 57.812 (59.824) Epoch: [2][7170/10010] Time 0.317 (0.341) Data 0.001 (0.015) Loss 3.0640 (3.1122) Prec@1 28.906 (34.567) Prec@5 57.031 (59.825) Epoch: [2][7180/10010] Time 0.320 (0.341) Data 0.001 (0.015) Loss 3.0728 (3.1122) Prec@1 32.812 (34.567) Prec@5 59.375 (59.826) Epoch: [2][7190/10010] Time 0.318 (0.341) Data 0.004 (0.015) Loss 3.1416 (3.1123) Prec@1 35.938 (34.565) Prec@5 59.375 (59.823) Epoch: [2][7200/10010] Time 0.323 (0.341) Data 0.001 (0.015) Loss 3.4423 (3.1122) Prec@1 31.250 (34.569) Prec@5 52.344 (59.823) Epoch: [2][7210/10010] Time 0.320 (0.341) Data 0.001 (0.015) Loss 2.8076 (3.1120) Prec@1 42.969 (34.574) Prec@5 60.156 (59.827) Epoch: [2][7220/10010] Time 0.320 (0.341) Data 0.000 (0.015) Loss 2.9520 (3.1120) Prec@1 39.062 (34.577) Prec@5 67.969 (59.830) Epoch: [2][7230/10010] Time 0.343 (0.341) Data 0.001 (0.015) Loss 2.7155 (3.1119) Prec@1 42.188 (34.578) Prec@5 67.969 (59.832) Epoch: [2][7240/10010] Time 0.322 (0.341) Data 0.000 (0.015) Loss 3.0574 (3.1119) Prec@1 37.500 (34.582) Prec@5 61.719 (59.834) Epoch: [2][7250/10010] Time 0.323 (0.341) Data 0.000 (0.015) Loss 3.1645 (3.1119) Prec@1 32.812 (34.582) Prec@5 57.812 (59.835) Epoch: [2][7260/10010] Time 0.337 (0.341) Data 0.001 (0.015) Loss 3.0984 (3.1116) Prec@1 32.812 (34.587) Prec@5 61.719 (59.841) Epoch: [2][7270/10010] Time 0.340 (0.342) Data 0.001 (0.015) Loss 2.7629 (3.1114) Prec@1 39.844 (34.590) Prec@5 64.844 (59.843) Epoch: [2][7280/10010] Time 0.321 (0.342) Data 0.000 (0.016) Loss 3.0530 (3.1112) Prec@1 42.188 (34.593) Prec@5 65.625 (59.849) Epoch: [2][7290/10010] Time 0.312 (0.342) Data 0.004 (0.016) Loss 3.1015 (3.1110) Prec@1 34.375 (34.595) Prec@5 60.156 (59.850) Epoch: [2][7300/10010] Time 0.328 (0.342) Data 0.000 (0.016) Loss 2.9699 (3.1111) Prec@1 38.281 (34.595) Prec@5 60.156 (59.850) Epoch: [2][7310/10010] Time 0.323 (0.342) Data 0.001 (0.016) Loss 2.9086 (3.1108) Prec@1 33.594 (34.600) Prec@5 65.625 (59.854) Epoch: [2][7320/10010] Time 0.321 (0.342) Data 0.001 (0.016) Loss 3.3619 (3.1109) Prec@1 28.906 (34.600) Prec@5 53.906 (59.854) Epoch: [2][7330/10010] Time 0.338 (0.342) Data 0.001 (0.016) Loss 3.1658 (3.1109) Prec@1 32.031 (34.603) Prec@5 57.812 (59.855) Epoch: [2][7340/10010] Time 0.337 (0.342) Data 0.000 (0.016) Loss 2.8704 (3.1108) Prec@1 39.844 (34.603) Prec@5 64.844 (59.857) Epoch: [2][7350/10010] Time 0.321 (0.342) Data 0.000 (0.016) Loss 3.3330 (3.1108) Prec@1 21.875 (34.604) Prec@5 53.125 (59.856) Epoch: [2][7360/10010] Time 0.430 (0.342) Data 0.290 (0.016) Loss 3.2781 (3.1108) Prec@1 29.688 (34.605) Prec@5 56.250 (59.856) Epoch: [2][7370/10010] Time 0.321 (0.342) Data 0.000 (0.017) Loss 3.3503 (3.1109) Prec@1 27.344 (34.605) Prec@5 53.125 (59.856) Epoch: [2][7380/10010] Time 0.365 (0.342) Data 0.223 (0.017) Loss 2.6775 (3.1107) Prec@1 34.375 (34.607) Prec@5 68.750 (59.860) Epoch: [2][7390/10010] Time 0.327 (0.342) Data 0.001 (0.017) Loss 3.2530 (3.1106) Prec@1 30.469 (34.609) Prec@5 60.156 (59.862) Epoch: [2][7400/10010] Time 0.326 (0.342) Data 0.001 (0.017) Loss 2.7319 (3.1105) Prec@1 39.844 (34.612) Prec@5 68.750 (59.864) Epoch: [2][7410/10010] Time 0.316 (0.343) Data 0.001 (0.017) Loss 3.0202 (3.1104) Prec@1 35.156 (34.615) Prec@5 61.719 (59.866) Epoch: [2][7420/10010] Time 0.319 (0.343) Data 0.000 (0.017) Loss 3.1380 (3.1103) Prec@1 33.594 (34.617) Prec@5 55.469 (59.866) Epoch: [2][7430/10010] Time 0.331 (0.343) Data 0.000 (0.017) Loss 3.2079 (3.1102) Prec@1 35.938 (34.616) Prec@5 57.031 (59.867) Epoch: [2][7440/10010] Time 0.340 (0.343) Data 0.000 (0.017) Loss 2.9149 (3.1101) Prec@1 37.500 (34.617) Prec@5 60.156 (59.868) Epoch: [2][7450/10010] Time 0.399 (0.343) Data 0.265 (0.017) Loss 3.4691 (3.1099) Prec@1 28.125 (34.618) Prec@5 52.344 (59.870) Epoch: [2][7460/10010] Time 0.332 (0.343) Data 0.001 (0.018) Loss 3.0771 (3.1099) Prec@1 38.281 (34.618) Prec@5 59.375 (59.870) Epoch: [2][7470/10010] Time 0.322 (0.343) Data 0.000 (0.018) Loss 3.2471 (3.1099) Prec@1 41.406 (34.620) Prec@5 60.938 (59.872) Epoch: [2][7480/10010] Time 0.319 (0.343) Data 0.158 (0.018) Loss 2.8083 (3.1096) Prec@1 40.625 (34.624) Prec@5 67.969 (59.878) Epoch: [2][7490/10010] Time 0.320 (0.343) Data 0.001 (0.018) Loss 3.0530 (3.1096) Prec@1 33.594 (34.623) Prec@5 54.688 (59.877) Epoch: [2][7500/10010] Time 0.325 (0.343) Data 0.000 (0.018) Loss 3.1189 (3.1094) Prec@1 37.500 (34.626) Prec@5 62.500 (59.881) Epoch: [2][7510/10010] Time 1.434 (0.343) Data 1.203 (0.018) Loss 3.0139 (3.1095) Prec@1 39.062 (34.625) Prec@5 62.500 (59.883) Epoch: [2][7520/10010] Time 0.341 (0.343) Data 0.200 (0.019) Loss 3.2342 (3.1095) Prec@1 41.406 (34.628) Prec@5 55.469 (59.883) Epoch: [2][7530/10010] Time 1.465 (0.344) Data 1.325 (0.019) Loss 3.1370 (3.1096) Prec@1 35.156 (34.629) Prec@5 55.469 (59.880) Epoch: [2][7540/10010] Time 0.320 (0.344) Data 0.000 (0.019) Loss 2.8482 (3.1094) Prec@1 37.500 (34.630) Prec@5 65.625 (59.883) Epoch: [2][7550/10010] Time 0.320 (0.344) Data 0.000 (0.019) Loss 3.0009 (3.1092) Prec@1 38.281 (34.632) Prec@5 59.375 (59.886) Epoch: [2][7560/10010] Time 0.323 (0.344) Data 0.010 (0.019) Loss 3.1936 (3.1091) Prec@1 35.938 (34.637) Prec@5 60.938 (59.889) Epoch: [2][7570/10010] Time 0.325 (0.344) Data 0.000 (0.020) Loss 2.9751 (3.1090) Prec@1 32.812 (34.640) Prec@5 59.375 (59.891) Epoch: [2][7580/10010] Time 0.322 (0.344) Data 0.000 (0.020) Loss 2.6612 (3.1089) Prec@1 40.625 (34.644) Prec@5 67.188 (59.894) Epoch: [2][7590/10010] Time 0.319 (0.344) Data 0.000 (0.020) Loss 2.7389 (3.1088) Prec@1 37.500 (34.645) Prec@5 67.969 (59.897) Epoch: [2][7600/10010] Time 0.327 (0.344) Data 0.001 (0.020) Loss 2.8769 (3.1087) Prec@1 37.500 (34.645) Prec@5 64.062 (59.898) Epoch: [2][7610/10010] Time 0.323 (0.344) Data 0.000 (0.020) Loss 3.1454 (3.1086) Prec@1 33.594 (34.649) Prec@5 61.719 (59.902) Epoch: [2][7620/10010] Time 0.317 (0.345) Data 0.001 (0.020) Loss 2.9653 (3.1085) Prec@1 35.938 (34.653) Prec@5 63.281 (59.904) Epoch: [2][7630/10010] Time 0.325 (0.345) Data 0.000 (0.020) Loss 3.0781 (3.1082) Prec@1 32.031 (34.656) Prec@5 60.938 (59.908) Epoch: [2][7640/10010] Time 0.326 (0.345) Data 0.013 (0.021) Loss 2.9914 (3.1081) Prec@1 42.188 (34.659) Prec@5 67.188 (59.910) Epoch: [2][7650/10010] Time 0.320 (0.345) Data 0.000 (0.021) Loss 2.8287 (3.1081) Prec@1 36.719 (34.661) Prec@5 63.281 (59.910) Epoch: [2][7660/10010] Time 0.319 (0.345) Data 0.000 (0.021) Loss 3.1968 (3.1079) Prec@1 26.562 (34.660) Prec@5 57.812 (59.914) Epoch: [2][7670/10010] Time 0.326 (0.345) Data 0.000 (0.021) Loss 2.9751 (3.1078) Prec@1 35.938 (34.662) Prec@5 64.062 (59.915) Epoch: [2][7680/10010] Time 0.449 (0.345) Data 0.309 (0.021) Loss 3.0283 (3.1077) Prec@1 41.406 (34.664) Prec@5 64.844 (59.919) Epoch: [2][7690/10010] Time 0.330 (0.345) Data 0.001 (0.021) Loss 2.9656 (3.1076) Prec@1 39.062 (34.667) Prec@5 60.156 (59.920) Epoch: [2][7700/10010] Time 0.324 (0.345) Data 0.001 (0.021) Loss 3.1141 (3.1074) Prec@1 31.250 (34.671) Prec@5 61.719 (59.924) Epoch: [2][7710/10010] Time 0.345 (0.345) Data 0.014 (0.021) Loss 3.2110 (3.1074) Prec@1 32.812 (34.672) Prec@5 56.250 (59.923) Epoch: [2][7720/10010] Time 0.320 (0.345) Data 0.001 (0.021) Loss 2.9214 (3.1071) Prec@1 33.594 (34.675) Prec@5 63.281 (59.928) Epoch: [2][7730/10010] Time 0.321 (0.345) Data 0.000 (0.022) Loss 3.2873 (3.1070) Prec@1 32.031 (34.678) Prec@5 57.031 (59.929) Epoch: [2][7740/10010] Time 0.322 (0.345) Data 0.001 (0.022) Loss 3.3497 (3.1070) Prec@1 24.219 (34.679) Prec@5 55.469 (59.930) Epoch: [2][7750/10010] Time 0.325 (0.345) Data 0.000 (0.022) Loss 3.2227 (3.1069) Prec@1 30.469 (34.679) Prec@5 57.031 (59.929) Epoch: [2][7760/10010] Time 0.326 (0.346) Data 0.012 (0.022) Loss 3.0379 (3.1068) Prec@1 40.625 (34.682) Prec@5 64.062 (59.934) Epoch: [2][7770/10010] Time 0.370 (0.346) Data 0.237 (0.022) Loss 3.1819 (3.1067) Prec@1 27.344 (34.682) Prec@5 54.688 (59.935) Epoch: [2][7780/10010] Time 0.321 (0.346) Data 0.001 (0.022) Loss 2.7188 (3.1065) Prec@1 39.844 (34.685) Prec@5 63.281 (59.937) Epoch: [2][7790/10010] Time 0.336 (0.346) Data 0.168 (0.022) Loss 3.1504 (3.1064) Prec@1 36.719 (34.688) Prec@5 57.812 (59.937) Epoch: [2][7800/10010] Time 0.319 (0.346) Data 0.000 (0.023) Loss 3.5171 (3.1066) Prec@1 30.469 (34.687) Prec@5 53.125 (59.934) Epoch: [2][7810/10010] Time 0.319 (0.346) Data 0.013 (0.023) Loss 3.0260 (3.1066) Prec@1 30.469 (34.687) Prec@5 61.719 (59.934) Epoch: [2][7820/10010] Time 1.655 (0.346) Data 1.397 (0.023) Loss 2.7840 (3.1065) Prec@1 36.719 (34.687) Prec@5 62.500 (59.932) Epoch: [2][7830/10010] Time 0.317 (0.346) Data 0.001 (0.023) Loss 2.9532 (3.1063) Prec@1 38.281 (34.690) Prec@5 63.281 (59.935) Epoch: [2][7840/10010] Time 0.317 (0.346) Data 0.000 (0.023) Loss 3.1263 (3.1061) Prec@1 35.938 (34.694) Prec@5 57.812 (59.938) Epoch: [2][7850/10010] Time 0.343 (0.346) Data 0.001 (0.023) Loss 3.0600 (3.1062) Prec@1 35.156 (34.695) Prec@5 63.281 (59.937) Epoch: [2][7860/10010] Time 0.325 (0.346) Data 0.005 (0.023) Loss 3.2820 (3.1062) Prec@1 35.938 (34.694) Prec@5 53.125 (59.937) Epoch: [2][7870/10010] Time 0.315 (0.347) Data 0.001 (0.024) Loss 2.9925 (3.1061) Prec@1 40.625 (34.694) Prec@5 66.406 (59.941) Epoch: [2][7880/10010] Time 0.321 (0.347) Data 0.000 (0.024) Loss 3.1930 (3.1060) Prec@1 35.938 (34.698) Prec@5 59.375 (59.944) Epoch: [2][7890/10010] Time 0.320 (0.347) Data 0.001 (0.024) Loss 3.4932 (3.1060) Prec@1 31.250 (34.699) Prec@5 54.688 (59.943) Epoch: [2][7900/10010] Time 0.319 (0.347) Data 0.000 (0.024) Loss 3.5105 (3.1060) Prec@1 28.906 (34.699) Prec@5 53.125 (59.942) Epoch: [2][7910/10010] Time 0.321 (0.347) Data 0.011 (0.024) Loss 3.2441 (3.1060) Prec@1 35.938 (34.699) Prec@5 59.375 (59.943) Epoch: [2][7920/10010] Time 0.569 (0.347) Data 0.433 (0.024) Loss 2.9060 (3.1058) Prec@1 39.844 (34.702) Prec@5 62.500 (59.947) Epoch: [2][7930/10010] Time 0.326 (0.347) Data 0.000 (0.025) Loss 3.5945 (3.1058) Prec@1 28.906 (34.700) Prec@5 53.125 (59.948) Epoch: [2][7940/10010] Time 0.325 (0.347) Data 0.000 (0.025) Loss 3.0236 (3.1058) Prec@1 38.281 (34.700) Prec@5 63.281 (59.948) Epoch: [2][7950/10010] Time 0.326 (0.347) Data 0.001 (0.025) Loss 2.7899 (3.1057) Prec@1 35.938 (34.702) Prec@5 69.531 (59.951) Epoch: [2][7960/10010] Time 0.320 (0.347) Data 0.001 (0.025) Loss 3.1029 (3.1058) Prec@1 36.719 (34.701) Prec@5 60.156 (59.949) Epoch: [2][7970/10010] Time 0.349 (0.348) Data 0.209 (0.025) Loss 2.7728 (3.1056) Prec@1 42.188 (34.705) Prec@5 62.500 (59.951) Epoch: [2][7980/10010] Time 0.317 (0.348) Data 0.000 (0.026) Loss 3.1105 (3.1055) Prec@1 33.594 (34.706) Prec@5 64.062 (59.955) Epoch: [2][7990/10010] Time 0.321 (0.348) Data 0.001 (0.026) Loss 2.9971 (3.1054) Prec@1 34.375 (34.708) Prec@5 60.938 (59.956) Epoch: [2][8000/10010] Time 0.325 (0.348) Data 0.000 (0.026) Loss 2.7768 (3.1052) Prec@1 43.750 (34.711) Prec@5 65.625 (59.959) Epoch: [2][8010/10010] Time 0.319 (0.348) Data 0.001 (0.026) Loss 3.0108 (3.1052) Prec@1 34.375 (34.713) Prec@5 63.281 (59.961) Epoch: [2][8020/10010] Time 0.328 (0.348) Data 0.000 (0.026) Loss 2.7820 (3.1051) Prec@1 39.062 (34.714) Prec@5 67.188 (59.962) Epoch: [2][8030/10010] Time 0.626 (0.348) Data 0.485 (0.026) Loss 3.1038 (3.1049) Prec@1 34.375 (34.716) Prec@5 61.719 (59.965) Epoch: [2][8040/10010] Time 1.038 (0.348) Data 0.893 (0.026) Loss 3.0471 (3.1048) Prec@1 37.500 (34.719) Prec@5 63.281 (59.966) Epoch: [2][8050/10010] Time 0.324 (0.348) Data 0.000 (0.026) Loss 2.8592 (3.1046) Prec@1 39.062 (34.720) Prec@5 62.500 (59.967) Epoch: [2][8060/10010] Time 0.313 (0.349) Data 0.002 (0.027) Loss 3.0210 (3.1045) Prec@1 35.156 (34.722) Prec@5 60.156 (59.969) Epoch: [2][8070/10010] Time 0.317 (0.349) Data 0.000 (0.027) Loss 3.2047 (3.1045) Prec@1 31.250 (34.722) Prec@5 57.031 (59.969) Epoch: [2][8080/10010] Time 0.317 (0.349) Data 0.001 (0.027) Loss 2.7341 (3.1044) Prec@1 39.844 (34.721) Prec@5 65.625 (59.971) Epoch: [2][8090/10010] Time 0.318 (0.349) Data 0.037 (0.027) Loss 2.4600 (3.1044) Prec@1 45.312 (34.723) Prec@5 69.531 (59.971) Epoch: [2][8100/10010] Time 0.798 (0.349) Data 0.662 (0.027) Loss 3.3437 (3.1043) Prec@1 32.031 (34.726) Prec@5 56.250 (59.974) Epoch: [2][8110/10010] Time 0.326 (0.349) Data 0.000 (0.028) Loss 3.0589 (3.1041) Prec@1 31.250 (34.727) Prec@5 55.469 (59.977) Epoch: [2][8120/10010] Time 0.583 (0.349) Data 0.446 (0.028) Loss 3.0838 (3.1040) Prec@1 36.719 (34.729) Prec@5 60.938 (59.980) Epoch: [2][8130/10010] Time 0.320 (0.350) Data 0.000 (0.028) Loss 2.7977 (3.1039) Prec@1 39.062 (34.732) Prec@5 60.938 (59.981) Epoch: [2][8140/10010] Time 0.559 (0.350) Data 0.428 (0.028) Loss 3.1521 (3.1040) Prec@1 35.156 (34.731) Prec@5 56.250 (59.978) Epoch: [2][8150/10010] Time 0.319 (0.350) Data 0.053 (0.028) Loss 3.3952 (3.1041) Prec@1 36.719 (34.730) Prec@5 53.906 (59.977) Epoch: [2][8160/10010] Time 0.316 (0.350) Data 0.001 (0.029) Loss 3.1466 (3.1038) Prec@1 33.594 (34.735) Prec@5 58.594 (59.980) Epoch: [2][8170/10010] Time 0.324 (0.350) Data 0.051 (0.029) Loss 3.2821 (3.1038) Prec@1 28.906 (34.734) Prec@5 55.469 (59.982) Epoch: [2][8180/10010] Time 0.321 (0.350) Data 0.007 (0.029) Loss 2.8267 (3.1037) Prec@1 35.938 (34.736) Prec@5 67.188 (59.985) Epoch: [2][8190/10010] Time 0.321 (0.350) Data 0.000 (0.029) Loss 2.9132 (3.1037) Prec@1 36.719 (34.734) Prec@5 60.938 (59.984) Epoch: [2][8200/10010] Time 0.321 (0.350) Data 0.000 (0.029) Loss 3.2343 (3.1037) Prec@1 35.938 (34.737) Prec@5 60.938 (59.986) Epoch: [2][8210/10010] Time 0.321 (0.350) Data 0.001 (0.029) Loss 3.4258 (3.1036) Prec@1 27.344 (34.738) Prec@5 54.688 (59.987) Epoch: [2][8220/10010] Time 1.696 (0.351) Data 1.560 (0.029) Loss 2.9476 (3.1035) Prec@1 37.500 (34.741) Prec@5 60.156 (59.989) Epoch: [2][8230/10010] Time 0.602 (0.351) Data 0.465 (0.029) Loss 2.7956 (3.1033) Prec@1 38.281 (34.743) Prec@5 65.625 (59.992) Epoch: [2][8240/10010] Time 0.321 (0.351) Data 0.183 (0.030) Loss 3.0909 (3.1032) Prec@1 32.812 (34.744) Prec@5 62.500 (59.996) Epoch: [2][8250/10010] Time 0.630 (0.351) Data 0.496 (0.030) Loss 3.0481 (3.1032) Prec@1 29.688 (34.745) Prec@5 57.031 (59.999) Epoch: [2][8260/10010] Time 0.320 (0.351) Data 0.008 (0.030) Loss 3.0629 (3.1030) Prec@1 38.281 (34.750) Prec@5 62.500 (60.003) Epoch: [2][8270/10010] Time 0.321 (0.351) Data 0.110 (0.030) Loss 3.3725 (3.1028) Prec@1 30.469 (34.754) Prec@5 53.125 (60.007) Epoch: [2][8280/10010] Time 0.318 (0.351) Data 0.001 (0.030) Loss 3.0462 (3.1027) Prec@1 37.500 (34.757) Prec@5 61.719 (60.008) Epoch: [2][8290/10010] Time 0.320 (0.351) Data 0.000 (0.031) Loss 3.2004 (3.1027) Prec@1 35.938 (34.757) Prec@5 61.719 (60.008) Epoch: [2][8300/10010] Time 0.327 (0.351) Data 0.000 (0.031) Loss 2.7720 (3.1025) Prec@1 35.938 (34.759) Prec@5 66.406 (60.012) Epoch: [2][8310/10010] Time 0.312 (0.352) Data 0.001 (0.031) Loss 3.3270 (3.1025) Prec@1 25.781 (34.757) Prec@5 57.812 (60.011) Epoch: [2][8320/10010] Time 0.338 (0.352) Data 0.000 (0.031) Loss 2.9303 (3.1023) Prec@1 34.375 (34.761) Prec@5 60.938 (60.014) Epoch: [2][8330/10010] Time 0.314 (0.352) Data 0.001 (0.031) Loss 2.8787 (3.1022) Prec@1 37.500 (34.762) Prec@5 67.969 (60.016) Epoch: [2][8340/10010] Time 0.323 (0.352) Data 0.000 (0.031) Loss 3.0822 (3.1022) Prec@1 31.250 (34.764) Prec@5 62.500 (60.019) Epoch: [2][8350/10010] Time 0.313 (0.352) Data 0.001 (0.032) Loss 2.8053 (3.1020) Prec@1 37.500 (34.767) Prec@5 64.844 (60.022) Epoch: [2][8360/10010] Time 0.502 (0.352) Data 0.358 (0.032) Loss 3.1321 (3.1020) Prec@1 35.938 (34.768) Prec@5 55.469 (60.023) Epoch: [2][8370/10010] Time 0.319 (0.352) Data 0.001 (0.032) Loss 3.3385 (3.1020) Prec@1 34.375 (34.769) Prec@5 55.469 (60.023) Epoch: [2][8380/10010] Time 0.605 (0.352) Data 0.472 (0.032) Loss 2.6758 (3.1019) Prec@1 42.969 (34.770) Prec@5 67.188 (60.025) Epoch: [2][8390/10010] Time 0.322 (0.353) Data 0.001 (0.033) Loss 2.9483 (3.1017) Prec@1 37.500 (34.775) Prec@5 66.406 (60.029) Epoch: [2][8400/10010] Time 0.329 (0.353) Data 0.001 (0.033) Loss 3.1537 (3.1017) Prec@1 36.719 (34.775) Prec@5 61.719 (60.030) Epoch: [2][8410/10010] Time 0.324 (0.353) Data 0.001 (0.033) Loss 2.9597 (3.1016) Prec@1 34.375 (34.776) Prec@5 65.625 (60.032) Epoch: [2][8420/10010] Time 0.320 (0.353) Data 0.000 (0.033) Loss 2.8334 (3.1015) Prec@1 33.594 (34.775) Prec@5 62.500 (60.034) Epoch: [2][8430/10010] Time 0.325 (0.353) Data 0.001 (0.033) Loss 2.9774 (3.1014) Prec@1 37.500 (34.776) Prec@5 64.844 (60.038) Epoch: [2][8440/10010] Time 0.322 (0.353) Data 0.000 (0.033) Loss 3.2100 (3.1014) Prec@1 32.031 (34.779) Prec@5 57.812 (60.037) Epoch: [2][8450/10010] Time 0.320 (0.353) Data 0.014 (0.033) Loss 2.7521 (3.1013) Prec@1 43.750 (34.780) Prec@5 64.844 (60.039) Epoch: [2][8460/10010] Time 0.325 (0.353) Data 0.001 (0.034) Loss 2.9881 (3.1012) Prec@1 37.500 (34.781) Prec@5 60.156 (60.042) Epoch: [2][8470/10010] Time 0.315 (0.354) Data 0.000 (0.034) Loss 2.8670 (3.1012) Prec@1 37.500 (34.783) Prec@5 64.844 (60.041) Epoch: [2][8480/10010] Time 0.769 (0.354) Data 0.629 (0.034) Loss 3.1140 (3.1011) Prec@1 33.594 (34.784) Prec@5 60.938 (60.041) Epoch: [2][8490/10010] Time 0.322 (0.354) Data 0.000 (0.034) Loss 2.7056 (3.1010) Prec@1 43.750 (34.785) Prec@5 71.094 (60.046) Epoch: [2][8500/10010] Time 0.327 (0.354) Data 0.094 (0.034) Loss 3.0332 (3.1007) Prec@1 35.156 (34.788) Prec@5 63.281 (60.051) Epoch: [2][8510/10010] Time 0.329 (0.354) Data 0.000 (0.035) Loss 2.7406 (3.1007) Prec@1 33.594 (34.789) Prec@5 65.625 (60.053) Epoch: [2][8520/10010] Time 0.317 (0.354) Data 0.006 (0.035) Loss 3.0698 (3.1006) Prec@1 38.281 (34.790) Prec@5 54.688 (60.054) Epoch: [2][8530/10010] Time 0.318 (0.355) Data 0.000 (0.035) Loss 3.1886 (3.1006) Prec@1 39.844 (34.792) Prec@5 58.594 (60.053) Epoch: [2][8540/10010] Time 0.647 (0.355) Data 0.511 (0.035) Loss 2.9866 (3.1006) Prec@1 36.719 (34.794) Prec@5 60.938 (60.053) Epoch: [2][8550/10010] Time 0.324 (0.355) Data 0.001 (0.035) Loss 2.9326 (3.1005) Prec@1 37.500 (34.795) Prec@5 60.156 (60.055) Epoch: [2][8560/10010] Time 0.319 (0.355) Data 0.001 (0.035) Loss 2.6440 (3.1002) Prec@1 41.406 (34.801) Prec@5 67.188 (60.058) Epoch: [2][8570/10010] Time 0.473 (0.355) Data 0.328 (0.035) Loss 3.2272 (3.1000) Prec@1 32.812 (34.805) Prec@5 53.125 (60.061) Epoch: [2][8580/10010] Time 0.325 (0.355) Data 0.044 (0.036) Loss 3.2449 (3.1000) Prec@1 37.500 (34.807) Prec@5 54.688 (60.062) Epoch: [2][8590/10010] Time 0.312 (0.355) Data 0.001 (0.036) Loss 3.3305 (3.1001) Prec@1 32.812 (34.806) Prec@5 60.156 (60.060) Epoch: [2][8600/10010] Time 0.317 (0.355) Data 0.010 (0.036) Loss 3.0417 (3.1002) Prec@1 35.156 (34.805) Prec@5 64.062 (60.059) Epoch: [2][8610/10010] Time 0.804 (0.355) Data 0.664 (0.036) Loss 2.7905 (3.1001) Prec@1 34.375 (34.806) Prec@5 67.969 (60.060) Epoch: [2][8620/10010] Time 0.323 (0.356) Data 0.000 (0.037) Loss 3.1986 (3.1000) Prec@1 32.031 (34.808) Prec@5 57.812 (60.060) Epoch: [2][8630/10010] Time 0.977 (0.356) Data 0.831 (0.037) Loss 2.8359 (3.0998) Prec@1 35.938 (34.811) Prec@5 65.625 (60.063) Epoch: [2][8640/10010] Time 0.318 (0.356) Data 0.001 (0.037) Loss 3.3061 (3.0998) Prec@1 27.344 (34.812) Prec@5 53.125 (60.063) Epoch: [2][8650/10010] Time 0.502 (0.356) Data 0.357 (0.037) Loss 3.0365 (3.0997) Prec@1 29.688 (34.813) Prec@5 61.719 (60.065) Epoch: [2][8660/10010] Time 0.319 (0.356) Data 0.000 (0.037) Loss 3.0751 (3.0995) Prec@1 38.281 (34.818) Prec@5 59.375 (60.068) Epoch: [2][8670/10010] Time 2.072 (0.356) Data 1.944 (0.038) Loss 3.0775 (3.0994) Prec@1 33.594 (34.818) Prec@5 58.594 (60.069) Epoch: [2][8680/10010] Time 0.314 (0.356) Data 0.011 (0.038) Loss 2.8112 (3.0993) Prec@1 37.500 (34.819) Prec@5 65.625 (60.070) Epoch: [2][8690/10010] Time 0.320 (0.356) Data 0.001 (0.038) Loss 2.6471 (3.0991) Prec@1 42.188 (34.822) Prec@5 67.969 (60.073) Epoch: [2][8700/10010] Time 0.400 (0.357) Data 0.263 (0.038) Loss 2.8702 (3.0990) Prec@1 41.406 (34.823) Prec@5 63.281 (60.074) Epoch: [2][8710/10010] Time 0.349 (0.357) Data 0.218 (0.038) Loss 2.9746 (3.0990) Prec@1 35.156 (34.824) Prec@5 60.156 (60.075) Epoch: [2][8720/10010] Time 0.322 (0.357) Data 0.001 (0.039) Loss 3.1886 (3.0990) Prec@1 29.688 (34.825) Prec@5 59.375 (60.076) Epoch: [2][8730/10010] Time 0.322 (0.357) Data 0.001 (0.039) Loss 2.8081 (3.0990) Prec@1 38.281 (34.825) Prec@5 67.969 (60.075) Epoch: [2][8740/10010] Time 0.318 (0.357) Data 0.000 (0.039) Loss 2.9692 (3.0989) Prec@1 40.625 (34.829) Prec@5 64.844 (60.078) Epoch: [2][8750/10010] Time 0.317 (0.357) Data 0.000 (0.039) Loss 2.7565 (3.0987) Prec@1 35.156 (34.830) Prec@5 67.188 (60.080) Epoch: [2][8760/10010] Time 0.431 (0.357) Data 0.300 (0.039) Loss 2.7906 (3.0985) Prec@1 36.719 (34.833) Prec@5 67.188 (60.085) Epoch: [2][8770/10010] Time 0.316 (0.357) Data 0.143 (0.039) Loss 3.2345 (3.0985) Prec@1 36.719 (34.833) Prec@5 57.812 (60.085) Epoch: [2][8780/10010] Time 0.319 (0.358) Data 0.001 (0.040) Loss 3.1042 (3.0985) Prec@1 33.594 (34.832) Prec@5 60.938 (60.086) Epoch: [2][8790/10010] Time 0.325 (0.358) Data 0.001 (0.040) Loss 3.0425 (3.0984) Prec@1 36.719 (34.833) Prec@5 60.156 (60.088) Epoch: [2][8800/10010] Time 0.315 (0.358) Data 0.001 (0.040) Loss 2.7902 (3.0983) Prec@1 38.281 (34.835) Prec@5 61.719 (60.089) Epoch: [2][8810/10010] Time 0.321 (0.358) Data 0.001 (0.040) Loss 3.1789 (3.0981) Prec@1 28.906 (34.837) Prec@5 59.375 (60.091) Epoch: [2][8820/10010] Time 0.318 (0.358) Data 0.000 (0.040) Loss 3.0857 (3.0980) Prec@1 35.938 (34.838) Prec@5 63.281 (60.095) Epoch: [2][8830/10010] Time 2.766 (0.359) Data 2.631 (0.041) Loss 2.8172 (3.0980) Prec@1 40.625 (34.840) Prec@5 71.094 (60.097) Epoch: [2][8840/10010] Time 0.361 (0.359) Data 0.132 (0.041) Loss 3.2275 (3.0978) Prec@1 34.375 (34.844) Prec@5 56.250 (60.099) Epoch: [2][8850/10010] Time 0.319 (0.359) Data 0.000 (0.041) Loss 2.8215 (3.0978) Prec@1 35.156 (34.845) Prec@5 62.500 (60.100) Epoch: [2][8860/10010] Time 0.730 (0.359) Data 0.597 (0.041) Loss 3.1405 (3.0977) Prec@1 36.719 (34.846) Prec@5 61.719 (60.101) Epoch: [2][8870/10010] Time 1.259 (0.359) Data 1.119 (0.041) Loss 2.8969 (3.0977) Prec@1 39.062 (34.844) Prec@5 64.062 (60.102) Epoch: [2][8880/10010] Time 0.324 (0.359) Data 0.000 (0.041) Loss 2.9147 (3.0976) Prec@1 38.281 (34.846) Prec@5 62.500 (60.104) Epoch: [2][8890/10010] Time 0.327 (0.359) Data 0.000 (0.042) Loss 2.9109 (3.0975) Prec@1 37.500 (34.847) Prec@5 65.625 (60.106) Epoch: [2][8900/10010] Time 0.317 (0.359) Data 0.001 (0.042) Loss 2.7862 (3.0975) Prec@1 40.625 (34.848) Prec@5 65.625 (60.106) Epoch: [2][8910/10010] Time 0.317 (0.359) Data 0.001 (0.042) Loss 3.5664 (3.0974) Prec@1 20.312 (34.848) Prec@5 53.125 (60.107) Epoch: [2][8920/10010] Time 0.332 (0.360) Data 0.001 (0.042) Loss 2.6642 (3.0972) Prec@1 42.188 (34.851) Prec@5 70.312 (60.111) Epoch: [2][8930/10010] Time 0.318 (0.360) Data 0.001 (0.042) Loss 3.3886 (3.0972) Prec@1 31.250 (34.853) Prec@5 57.031 (60.114) Epoch: [2][8940/10010] Time 0.329 (0.360) Data 0.001 (0.042) Loss 3.0613 (3.0970) Prec@1 31.250 (34.856) Prec@5 61.719 (60.116) Epoch: [2][8950/10010] Time 0.323 (0.360) Data 0.001 (0.043) Loss 2.5150 (3.0969) Prec@1 35.156 (34.859) Prec@5 72.656 (60.117) Epoch: [2][8960/10010] Time 0.319 (0.360) Data 0.000 (0.043) Loss 2.9129 (3.0967) Prec@1 43.750 (34.862) Prec@5 66.406 (60.122) Epoch: [2][8970/10010] Time 0.314 (0.360) Data 0.001 (0.043) Loss 3.1734 (3.0965) Prec@1 34.375 (34.866) Prec@5 59.375 (60.127) Epoch: [2][8980/10010] Time 0.322 (0.360) Data 0.183 (0.043) Loss 2.9675 (3.0965) Prec@1 34.375 (34.865) Prec@5 64.844 (60.127) Epoch: [2][8990/10010] Time 0.515 (0.360) Data 0.377 (0.043) Loss 3.3582 (3.0965) Prec@1 29.688 (34.865) Prec@5 58.594 (60.128) Epoch: [2][9000/10010] Time 1.208 (0.361) Data 1.080 (0.044) Loss 3.1305 (3.0965) Prec@1 33.594 (34.866) Prec@5 58.594 (60.127) Epoch: [2][9010/10010] Time 0.317 (0.361) Data 0.011 (0.044) Loss 2.8670 (3.0965) Prec@1 39.062 (34.867) Prec@5 66.406 (60.128) Epoch: [2][9020/10010] Time 0.321 (0.361) Data 0.000 (0.044) Loss 2.8147 (3.0964) Prec@1 37.500 (34.868) Prec@5 66.406 (60.131) Epoch: [2][9030/10010] Time 0.322 (0.361) Data 0.000 (0.044) Loss 2.8970 (3.0963) Prec@1 32.812 (34.869) Prec@5 64.062 (60.132) Epoch: [2][9040/10010] Time 0.312 (0.361) Data 0.001 (0.044) Loss 3.0940 (3.0962) Prec@1 28.125 (34.870) Prec@5 60.156 (60.133) Epoch: [2][9050/10010] Time 0.333 (0.361) Data 0.001 (0.045) Loss 3.2705 (3.0962) Prec@1 32.812 (34.871) Prec@5 61.719 (60.133) Epoch: [2][9060/10010] Time 0.442 (0.361) Data 0.302 (0.045) Loss 2.9460 (3.0961) Prec@1 35.938 (34.872) Prec@5 65.625 (60.133) Epoch: [2][9070/10010] Time 0.487 (0.361) Data 0.343 (0.045) Loss 3.1154 (3.0960) Prec@1 34.375 (34.876) Prec@5 60.156 (60.136) Epoch: [2][9080/10010] Time 1.415 (0.362) Data 1.286 (0.045) Loss 3.2853 (3.0958) Prec@1 30.469 (34.877) Prec@5 55.469 (60.137) Epoch: [2][9090/10010] Time 0.648 (0.362) Data 0.507 (0.046) Loss 3.4234 (3.0958) Prec@1 27.344 (34.879) Prec@5 57.812 (60.139) Epoch: [2][9100/10010] Time 0.322 (0.362) Data 0.011 (0.046) Loss 3.1477 (3.0957) Prec@1 35.156 (34.882) Prec@5 60.938 (60.141) Epoch: [2][9110/10010] Time 0.316 (0.362) Data 0.001 (0.046) Loss 2.9509 (3.0955) Prec@1 35.938 (34.885) Prec@5 61.719 (60.144) Epoch: [2][9120/10010] Time 0.319 (0.362) Data 0.001 (0.046) Loss 3.3321 (3.0954) Prec@1 32.031 (34.886) Prec@5 59.375 (60.145) Epoch: [2][9130/10010] Time 0.608 (0.362) Data 0.464 (0.046) Loss 3.4438 (3.0953) Prec@1 33.594 (34.888) Prec@5 53.125 (60.146) Epoch: [2][9140/10010] Time 0.323 (0.363) Data 0.000 (0.046) Loss 2.9351 (3.0953) Prec@1 33.594 (34.888) Prec@5 64.062 (60.148) Epoch: [2][9150/10010] Time 0.326 (0.363) Data 0.000 (0.047) Loss 2.8827 (3.0953) Prec@1 42.188 (34.888) Prec@5 66.406 (60.147) Epoch: [2][9160/10010] Time 0.529 (0.363) Data 0.382 (0.047) Loss 3.1671 (3.0952) Prec@1 31.250 (34.890) Prec@5 56.250 (60.149) Epoch: [2][9170/10010] Time 0.315 (0.363) Data 0.001 (0.047) Loss 3.2056 (3.0952) Prec@1 31.250 (34.889) Prec@5 60.156 (60.150) Epoch: [2][9180/10010] Time 0.316 (0.363) Data 0.000 (0.047) Loss 3.1491 (3.0951) Prec@1 30.469 (34.889) Prec@5 57.812 (60.152) Epoch: [2][9190/10010] Time 1.239 (0.363) Data 1.103 (0.047) Loss 2.7879 (3.0950) Prec@1 42.969 (34.889) Prec@5 60.938 (60.151) Epoch: [2][9200/10010] Time 0.318 (0.364) Data 0.000 (0.048) Loss 3.3814 (3.0950) Prec@1 34.375 (34.890) Prec@5 57.812 (60.153) Epoch: [2][9210/10010] Time 0.325 (0.364) Data 0.001 (0.048) Loss 3.0058 (3.0949) Prec@1 35.938 (34.892) Prec@5 63.281 (60.155) Epoch: [2][9220/10010] Time 0.325 (0.364) Data 0.000 (0.048) Loss 2.9688 (3.0949) Prec@1 33.594 (34.892) Prec@5 59.375 (60.155) Epoch: [2][9230/10010] Time 0.321 (0.364) Data 0.001 (0.048) Loss 3.1482 (3.0950) Prec@1 41.406 (34.893) Prec@5 64.062 (60.155) Epoch: [2][9240/10010] Time 0.327 (0.364) Data 0.000 (0.048) Loss 2.8481 (3.0949) Prec@1 33.594 (34.894) Prec@5 67.188 (60.157) Epoch: [2][9250/10010] Time 0.315 (0.364) Data 0.001 (0.049) Loss 3.4904 (3.0949) Prec@1 30.469 (34.893) Prec@5 50.000 (60.156) Epoch: [2][9260/10010] Time 0.793 (0.364) Data 0.653 (0.049) Loss 3.0755 (3.0948) Prec@1 33.594 (34.894) Prec@5 60.938 (60.157) Epoch: [2][9270/10010] Time 1.159 (0.364) Data 1.023 (0.049) Loss 3.2304 (3.0948) Prec@1 38.281 (34.896) Prec@5 60.156 (60.158) Epoch: [2][9280/10010] Time 0.315 (0.365) Data 0.058 (0.049) Loss 3.0514 (3.0947) Prec@1 32.031 (34.898) Prec@5 64.062 (60.161) Epoch: [2][9290/10010] Time 0.336 (0.365) Data 0.201 (0.049) Loss 3.1339 (3.0947) Prec@1 30.469 (34.897) Prec@5 58.594 (60.160) Epoch: [2][9300/10010] Time 0.319 (0.365) Data 0.001 (0.050) Loss 3.1822 (3.0946) Prec@1 37.500 (34.898) Prec@5 57.031 (60.161) Epoch: [2][9310/10010] Time 0.313 (0.365) Data 0.000 (0.050) Loss 3.0539 (3.0946) Prec@1 28.125 (34.899) Prec@5 60.938 (60.161) Epoch: [2][9320/10010] Time 0.317 (0.365) Data 0.009 (0.050) Loss 2.8581 (3.0945) Prec@1 37.500 (34.900) Prec@5 66.406 (60.162) Epoch: [2][9330/10010] Time 0.581 (0.365) Data 0.452 (0.050) Loss 2.8705 (3.0944) Prec@1 38.281 (34.902) Prec@5 67.969 (60.164) Epoch: [2][9340/10010] Time 0.318 (0.365) Data 0.001 (0.050) Loss 3.1403 (3.0943) Prec@1 32.812 (34.903) Prec@5 55.469 (60.165) Epoch: [2][9350/10010] Time 0.316 (0.366) Data 0.038 (0.051) Loss 3.0655 (3.0942) Prec@1 34.375 (34.906) Prec@5 59.375 (60.169) Epoch: [2][9360/10010] Time 0.317 (0.366) Data 0.001 (0.051) Loss 2.9808 (3.0941) Prec@1 39.844 (34.907) Prec@5 64.062 (60.171) Epoch: [2][9370/10010] Time 0.317 (0.366) Data 0.000 (0.051) Loss 2.9226 (3.0941) Prec@1 32.812 (34.908) Prec@5 64.062 (60.172) Epoch: [2][9380/10010] Time 0.312 (0.366) Data 0.001 (0.051) Loss 3.2018 (3.0939) Prec@1 35.156 (34.908) Prec@5 57.031 (60.174) Epoch: [2][9390/10010] Time 0.326 (0.366) Data 0.015 (0.052) Loss 2.8450 (3.0939) Prec@1 40.625 (34.908) Prec@5 64.062 (60.173) Epoch: [2][9400/10010] Time 0.320 (0.366) Data 0.001 (0.052) Loss 2.9478 (3.0938) Prec@1 39.062 (34.910) Prec@5 64.062 (60.177) Epoch: [2][9410/10010] Time 0.319 (0.367) Data 0.000 (0.052) Loss 2.8619 (3.0938) Prec@1 38.281 (34.911) Prec@5 67.969 (60.178) Epoch: [2][9420/10010] Time 2.420 (0.367) Data 2.289 (0.052) Loss 3.1425 (3.0936) Prec@1 35.156 (34.913) Prec@5 63.281 (60.180) Epoch: [2][9430/10010] Time 0.315 (0.367) Data 0.001 (0.052) Loss 2.7869 (3.0935) Prec@1 42.188 (34.915) Prec@5 64.844 (60.183) Epoch: [2][9440/10010] Time 0.316 (0.367) Data 0.000 (0.052) Loss 2.8701 (3.0934) Prec@1 39.062 (34.918) Prec@5 66.406 (60.187) Epoch: [2][9450/10010] Time 0.318 (0.367) Data 0.001 (0.052) Loss 2.7793 (3.0934) Prec@1 39.844 (34.918) Prec@5 65.625 (60.187) /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: [2][9460/10010] Time 0.513 (0.367) Data 0.380 (0.053) Loss 3.2680 (3.0932) Prec@1 33.594 (34.921) Prec@5 63.281 (60.189) Epoch: [2][9470/10010] Time 0.319 (0.367) Data 0.008 (0.053) Loss 2.9981 (3.0931) Prec@1 34.375 (34.922) Prec@5 62.500 (60.191) Epoch: [2][9480/10010] Time 0.323 (0.368) Data 0.001 (0.053) Loss 2.9899 (3.0930) Prec@1 35.156 (34.922) Prec@5 65.625 (60.194) Epoch: [2][9490/10010] Time 0.325 (0.368) Data 0.086 (0.053) Loss 2.9578 (3.0928) Prec@1 37.500 (34.924) Prec@5 60.156 (60.196) Epoch: [2][9500/10010] Time 0.311 (0.368) Data 0.001 (0.053) Loss 3.1363 (3.0928) Prec@1 35.938 (34.926) Prec@5 63.281 (60.198) Epoch: [2][9510/10010] Time 0.315 (0.368) Data 0.000 (0.054) Loss 2.8116 (3.0926) Prec@1 44.531 (34.930) Prec@5 66.406 (60.201) Epoch: [2][9520/10010] Time 0.314 (0.368) Data 0.166 (0.054) Loss 2.9149 (3.0924) Prec@1 35.938 (34.934) Prec@5 60.938 (60.204) Epoch: [2][9530/10010] Time 0.377 (0.368) Data 0.239 (0.054) Loss 3.1241 (3.0923) Prec@1 38.281 (34.936) Prec@5 57.812 (60.205) Epoch: [2][9540/10010] Time 0.329 (0.369) Data 0.000 (0.054) Loss 2.6255 (3.0923) Prec@1 44.531 (34.937) Prec@5 69.531 (60.205) Epoch: [2][9550/10010] Time 0.320 (0.369) Data 0.001 (0.055) Loss 3.0798 (3.0922) Prec@1 37.500 (34.939) Prec@5 58.594 (60.207) Epoch: [2][9560/10010] Time 0.313 (0.369) Data 0.000 (0.055) Loss 3.2163 (3.0921) Prec@1 34.375 (34.942) Prec@5 52.344 (60.208) Epoch: [2][9570/10010] Time 0.319 (0.369) Data 0.001 (0.055) Loss 3.1980 (3.0922) Prec@1 33.594 (34.941) Prec@5 63.281 (60.208) Epoch: [2][9580/10010] Time 1.319 (0.369) Data 1.172 (0.055) Loss 3.5812 (3.0922) Prec@1 25.781 (34.938) Prec@5 55.469 (60.208) Epoch: [2][9590/10010] Time 1.341 (0.369) Data 1.204 (0.055) Loss 3.0791 (3.0921) Prec@1 36.719 (34.939) Prec@5 62.500 (60.208) Epoch: [2][9600/10010] Time 0.321 (0.369) Data 0.001 (0.055) Loss 2.7174 (3.0920) Prec@1 39.844 (34.943) Prec@5 65.625 (60.210) Epoch: [2][9610/10010] Time 0.317 (0.369) Data 0.000 (0.056) Loss 3.1182 (3.0920) Prec@1 34.375 (34.944) Prec@5 57.031 (60.211) Epoch: [2][9620/10010] Time 0.320 (0.369) Data 0.175 (0.056) Loss 3.2304 (3.0918) Prec@1 30.469 (34.946) Prec@5 57.031 (60.213) Epoch: [2][9630/10010] Time 0.316 (0.370) Data 0.000 (0.056) Loss 2.9299 (3.0917) Prec@1 33.594 (34.949) Prec@5 60.156 (60.216) Epoch: [2][9640/10010] Time 0.321 (0.370) Data 0.000 (0.056) Loss 3.0040 (3.0915) Prec@1 38.281 (34.951) Prec@5 64.062 (60.220) Epoch: [2][9650/10010] Time 0.324 (0.370) Data 0.014 (0.056) Loss 3.0220 (3.0914) Prec@1 28.906 (34.950) Prec@5 68.750 (60.221) Epoch: [2][9660/10010] Time 0.319 (0.370) Data 0.171 (0.057) Loss 3.1409 (3.0914) Prec@1 38.281 (34.951) Prec@5 60.938 (60.222) Epoch: [2][9670/10010] Time 0.319 (0.370) Data 0.000 (0.057) Loss 3.2046 (3.0913) Prec@1 36.719 (34.952) Prec@5 60.938 (60.222) Epoch: [2][9680/10010] Time 0.313 (0.370) Data 0.001 (0.057) Loss 3.1085 (3.0913) Prec@1 35.156 (34.952) Prec@5 63.281 (60.225) Epoch: [2][9690/10010] Time 1.850 (0.371) Data 1.716 (0.057) Loss 3.1603 (3.0912) Prec@1 34.375 (34.952) Prec@5 55.469 (60.227) Epoch: [2][9700/10010] Time 1.033 (0.371) Data 0.897 (0.057) Loss 3.0029 (3.0913) Prec@1 31.250 (34.948) Prec@5 64.062 (60.226) Epoch: [2][9710/10010] Time 0.322 (0.371) Data 0.000 (0.058) Loss 2.8567 (3.0912) Prec@1 44.531 (34.950) Prec@5 66.406 (60.228) Epoch: [2][9720/10010] Time 0.315 (0.371) Data 0.001 (0.058) Loss 3.0663 (3.0912) Prec@1 36.719 (34.950) Prec@5 62.500 (60.228) Epoch: [2][9730/10010] Time 0.348 (0.371) Data 0.219 (0.058) Loss 3.0723 (3.0912) Prec@1 34.375 (34.950) Prec@5 60.938 (60.229) Epoch: [2][9740/10010] Time 1.321 (0.371) Data 1.180 (0.058) Loss 2.8964 (3.0910) Prec@1 35.938 (34.953) Prec@5 60.938 (60.232) Epoch: [2][9750/10010] Time 0.316 (0.372) Data 0.001 (0.059) Loss 2.6602 (3.0908) Prec@1 45.312 (34.957) Prec@5 63.281 (60.234) Epoch: [2][9760/10010] Time 1.092 (0.372) Data 0.955 (0.059) Loss 2.7945 (3.0907) Prec@1 39.062 (34.960) Prec@5 63.281 (60.236) Epoch: [2][9770/10010] Time 0.812 (0.372) Data 0.669 (0.059) Loss 3.2644 (3.0906) Prec@1 34.375 (34.961) Prec@5 57.031 (60.237) Epoch: [2][9780/10010] Time 0.323 (0.372) Data 0.001 (0.059) Loss 3.0454 (3.0905) Prec@1 39.062 (34.963) Prec@5 63.281 (60.238) Epoch: [2][9790/10010] Time 0.319 (0.372) Data 0.089 (0.059) Loss 2.6345 (3.0903) Prec@1 41.406 (34.965) Prec@5 68.750 (60.241) Epoch: [2][9800/10010] Time 0.837 (0.372) Data 0.701 (0.059) Loss 2.7189 (3.0903) Prec@1 39.844 (34.966) Prec@5 67.969 (60.242) Epoch: [2][9810/10010] Time 0.325 (0.372) Data 0.000 (0.060) Loss 2.7153 (3.0902) Prec@1 39.844 (34.968) Prec@5 63.281 (60.244) Epoch: [2][9820/10010] Time 0.500 (0.372) Data 0.370 (0.060) Loss 3.2579 (3.0899) Prec@1 31.250 (34.972) Prec@5 61.719 (60.247) Epoch: [2][9830/10010] Time 0.326 (0.373) Data 0.000 (0.060) Loss 3.2844 (3.0899) Prec@1 22.656 (34.972) Prec@5 57.812 (60.246) Epoch: [2][9840/10010] Time 0.321 (0.373) Data 0.000 (0.060) Loss 3.1496 (3.0898) Prec@1 34.375 (34.973) Prec@5 57.031 (60.248) Epoch: [2][9850/10010] Time 1.089 (0.373) Data 0.951 (0.060) Loss 2.7852 (3.0896) Prec@1 38.281 (34.976) Prec@5 64.844 (60.251) Epoch: [2][9860/10010] Time 0.424 (0.373) Data 0.170 (0.061) Loss 2.9879 (3.0896) Prec@1 34.375 (34.977) Prec@5 63.281 (60.252) Epoch: [2][9870/10010] Time 1.211 (0.373) Data 1.070 (0.061) Loss 2.8501 (3.0895) Prec@1 39.062 (34.979) Prec@5 66.406 (60.254) Epoch: [2][9880/10010] Time 0.787 (0.373) Data 0.648 (0.061) Loss 3.1147 (3.0895) Prec@1 32.031 (34.978) Prec@5 61.719 (60.254) Epoch: [2][9890/10010] Time 0.318 (0.373) Data 0.001 (0.061) Loss 2.9647 (3.0894) Prec@1 42.969 (34.980) Prec@5 64.062 (60.255) Epoch: [2][9900/10010] Time 0.319 (0.374) Data 0.000 (0.061) Loss 2.9188 (3.0893) Prec@1 32.812 (34.981) Prec@5 66.406 (60.255) Epoch: [2][9910/10010] Time 0.316 (0.374) Data 0.001 (0.061) Loss 2.7128 (3.0892) Prec@1 39.062 (34.985) Prec@5 63.281 (60.257) Epoch: [2][9920/10010] Time 0.437 (0.374) Data 0.300 (0.062) Loss 2.8589 (3.0892) Prec@1 41.406 (34.985) Prec@5 58.594 (60.257) Epoch: [2][9930/10010] Time 0.320 (0.374) Data 0.000 (0.062) Loss 3.1389 (3.0891) Prec@1 37.500 (34.988) Prec@5 59.375 (60.258) Epoch: [2][9940/10010] Time 0.322 (0.374) Data 0.000 (0.062) Loss 2.9381 (3.0890) Prec@1 42.188 (34.990) Prec@5 67.188 (60.258) Epoch: [2][9950/10010] Time 0.799 (0.374) Data 0.660 (0.062) Loss 3.0451 (3.0890) Prec@1 34.375 (34.989) Prec@5 59.375 (60.260) Epoch: [2][9960/10010] Time 0.320 (0.374) Data 0.000 (0.062) Loss 2.8612 (3.0889) Prec@1 38.281 (34.992) Prec@5 64.062 (60.262) Epoch: [2][9970/10010] Time 0.323 (0.374) Data 0.000 (0.062) Loss 3.2702 (3.0888) Prec@1 31.250 (34.994) Prec@5 59.375 (60.264) Epoch: [2][9980/10010] Time 0.320 (0.374) Data 0.001 (0.063) Loss 2.9776 (3.0888) Prec@1 39.844 (34.992) Prec@5 63.281 (60.265) Epoch: [2][9990/10010] Time 0.322 (0.374) Data 0.000 (0.063) Loss 2.9534 (3.0888) Prec@1 37.500 (34.992) Prec@5 62.500 (60.263) Epoch: [2][10000/10010] Time 0.321 (0.375) Data 0.000 (0.063) Loss 3.1946 (3.0888) Prec@1 35.938 (34.993) Prec@5 58.594 (60.263) Test: [0/391] Time 7.344 (7.344) Loss 1.6971 (1.6971) Prec@1 61.719 (61.719) Prec@5 84.375 (84.375) Test: [10/391] Time 0.110 (0.765) Loss 3.2254 (2.1827) Prec@1 31.250 (49.290) Prec@5 66.406 (77.557) Test: [20/391] Time 0.101 (0.457) Loss 2.8755 (2.7846) Prec@1 39.844 (39.918) Prec@5 61.719 (67.262) Test: [30/391] Time 0.102 (0.453) Loss 3.3565 (2.9978) Prec@1 29.688 (36.542) Prec@5 53.906 (63.684) Test: [40/391] Time 0.107 (0.379) Loss 2.4029 (2.7843) Prec@1 50.000 (40.053) Prec@5 69.531 (66.806) Test: [50/391] Time 1.330 (0.413) Loss 1.4655 (2.7989) Prec@1 64.844 (40.058) Prec@5 86.719 (66.590) Test: [60/391] Time 0.247 (0.423) Loss 2.9543 (2.6669) Prec@1 29.688 (42.290) Prec@5 63.281 (68.430) Test: [70/391] Time 2.381 (0.497) Loss 2.0767 (2.7157) Prec@1 45.312 (40.933) Prec@5 78.906 (67.397) Test: [80/391] Time 0.097 (0.554) Loss 2.9493 (2.8171) Prec@1 25.000 (39.159) Prec@5 61.719 (65.673) Test: [90/391] Time 0.100 (0.534) Loss 1.9676 (2.8110) Prec@1 41.406 (38.771) Prec@5 85.156 (65.831) Test: [100/391] Time 2.127 (0.572) Loss 1.8748 (2.7517) Prec@1 52.344 (38.800) Prec@5 82.812 (67.188) Test: [110/391] Time 0.232 (0.541) Loss 2.9643 (2.7666) Prec@1 36.719 (38.267) Prec@5 67.188 (67.096) Test: [120/391] Time 0.188 (0.556) Loss 2.7358 (2.7317) Prec@1 41.406 (38.849) Prec@5 69.531 (67.717) Test: [130/391] Time 1.243 (0.563) Loss 2.2212 (2.7285) Prec@1 53.125 (39.271) Prec@5 74.219 (67.712) Test: [140/391] Time 0.100 (0.575) Loss 3.7918 (2.7432) Prec@1 20.312 (38.952) Prec@5 47.656 (67.426) Test: [150/391] Time 1.103 (0.564) Loss 2.1870 (2.7034) Prec@1 35.938 (39.404) Prec@5 83.594 (68.031) Test: [160/391] Time 0.903 (0.564) Loss 2.5480 (2.6855) Prec@1 35.156 (39.650) Prec@5 74.219 (68.425) Test: [170/391] Time 0.511 (0.558) Loss 3.6206 (2.7379) Prec@1 19.531 (38.711) Prec@5 56.250 (67.375) Test: [180/391] Time 0.548 (0.552) Loss 3.7567 (2.7697) Prec@1 20.312 (38.113) Prec@5 57.812 (66.890) Test: [190/391] Time 0.453 (0.546) Loss 3.6780 (2.7950) Prec@1 12.500 (37.651) Prec@5 56.250 (66.329) Test: [200/391] Time 0.338 (0.552) Loss 3.6077 (2.8334) Prec@1 24.219 (37.072) Prec@5 49.219 (65.524) Test: [210/391] Time 0.567 (0.550) Loss 3.1602 (2.8568) Prec@1 32.031 (36.748) Prec@5 58.594 (65.140) Test: [220/391] Time 0.434 (0.545) Loss 2.7282 (2.8577) Prec@1 49.219 (36.952) Prec@5 64.062 (65.035) Test: [230/391] Time 0.103 (0.537) Loss 3.3970 (2.8707) Prec@1 32.031 (36.868) Prec@5 54.688 (64.766) Test: [240/391] Time 0.098 (0.532) Loss 3.3270 (2.8900) Prec@1 32.812 (36.673) Prec@5 53.906 (64.400) Test: [250/391] Time 3.184 (0.531) Loss 2.9386 (2.9167) Prec@1 42.969 (36.348) Prec@5 57.031 (63.963) Test: [260/391] Time 0.287 (0.525) Loss 4.3865 (2.9305) Prec@1 15.625 (36.156) Prec@5 46.875 (63.775) Test: [270/391] Time 1.034 (0.531) Loss 3.3141 (2.9397) Prec@1 25.000 (36.174) Prec@5 53.125 (63.518) Test: [280/391] Time 0.476 (0.535) Loss 2.4319 (2.9490) Prec@1 35.156 (36.099) Prec@5 70.312 (63.276) Test: [290/391] Time 0.723 (0.533) Loss 3.5847 (2.9654) Prec@1 10.938 (35.959) Prec@5 57.031 (63.042) Test: [300/391] Time 0.100 (0.533) Loss 3.5959 (2.9800) Prec@1 29.688 (35.849) Prec@5 54.688 (62.817) Test: [310/391] Time 0.944 (0.532) Loss 3.3268 (2.9917) Prec@1 35.156 (35.724) Prec@5 59.375 (62.543) Test: [320/391] Time 0.687 (0.532) Loss 1.7819 (2.9917) Prec@1 60.156 (35.845) Prec@5 83.594 (62.544) Test: [330/391] Time 0.441 (0.531) Loss 4.0389 (3.0223) Prec@1 17.969 (35.404) Prec@5 44.531 (62.009) Test: [340/391] Time 0.101 (0.532) Loss 2.2484 (3.0248) Prec@1 37.500 (35.246) Prec@5 75.781 (61.955) Test: [350/391] Time 1.333 (0.528) Loss 2.6612 (3.0254) Prec@1 42.969 (35.259) Prec@5 66.406 (61.950) Test: [360/391] Time 0.100 (0.528) Loss 2.5327 (3.0348) Prec@1 41.406 (35.171) Prec@5 67.969 (61.812) Test: [370/391] Time 0.097 (0.526) Loss 2.0317 (3.0273) Prec@1 49.219 (35.287) Prec@5 76.562 (61.910) Test: [380/391] Time 0.098 (0.525) Loss 2.1701 (3.0293) Prec@1 49.219 (35.292) Prec@5 76.562 (61.850) Test: [390/391] Time 0.067 (0.519) Loss 4.5821 (3.0162) Prec@1 13.750 (35.542) Prec@5 28.750 (62.092) * Prec@1 35.542 Prec@5 62.092 Epoch: [3][0/10010] Time 2.473 (2.473) Data 2.303 (2.303) Loss 3.1536 (3.1536) Prec@1 35.156 (35.156) Prec@5 55.469 (55.469) Epoch: [3][10/10010] Time 0.315 (0.526) Data 0.001 (0.235) Loss 2.9243 (3.1349) Prec@1 41.406 (35.156) Prec@5 66.406 (60.582) Epoch: [3][20/10010] Time 0.318 (0.427) Data 0.001 (0.124) Loss 3.3107 (3.0585) Prec@1 36.719 (36.198) Prec@5 59.375 (62.165) Epoch: [3][30/10010] Time 0.316 (0.392) Data 0.001 (0.084) Loss 2.8921 (3.0473) Prec@1 34.375 (35.786) Prec@5 64.062 (62.072) Epoch: [3][40/10010] Time 0.243 (0.374) Data 0.001 (0.064) Loss 2.9591 (3.0218) Prec@1 32.812 (35.861) Prec@5 67.188 (62.081) Epoch: [3][50/10010] Time 0.320 (0.363) Data 0.000 (0.051) Loss 3.2606 (3.0258) Prec@1 29.688 (35.892) Prec@5 56.250 (62.117) Epoch: [3][60/10010] Time 0.326 (0.356) Data 0.001 (0.043) Loss 3.0214 (3.0287) Prec@1 31.250 (35.617) Prec@5 59.375 (61.834) Epoch: [3][70/10010] Time 0.323 (0.351) Data 0.001 (0.037) Loss 2.9801 (3.0163) Prec@1 35.938 (35.938) Prec@5 61.719 (61.862) Epoch: [3][80/10010] Time 0.318 (0.347) Data 0.001 (0.032) Loss 2.8539 (3.0187) Prec@1 38.281 (36.005) Prec@5 67.188 (61.834) Epoch: [3][90/10010] Time 0.311 (0.344) Data 0.001 (0.029) Loss 3.2002 (3.0205) Prec@1 37.500 (36.135) Prec@5 55.469 (61.762) Epoch: [3][100/10010] Time 0.316 (0.342) Data 0.000 (0.026) Loss 2.8468 (3.0068) Prec@1 39.844 (36.270) Prec@5 62.500 (61.959) Epoch: [3][110/10010] Time 0.324 (0.340) Data 0.001 (0.024) Loss 3.1668 (2.9967) Prec@1 35.938 (36.522) Prec@5 57.031 (62.148) Epoch: [3][120/10010] Time 0.316 (0.338) Data 0.001 (0.022) Loss 2.6996 (3.0019) Prec@1 40.625 (36.428) Prec@5 65.625 (62.042) Epoch: [3][130/10010] Time 0.319 (0.337) Data 0.000 (0.020) Loss 3.3446 (2.9987) Prec@1 27.344 (36.522) Prec@5 53.125 (62.017) Epoch: [3][140/10010] Time 0.322 (0.336) Data 0.000 (0.019) Loss 2.8316 (2.9908) Prec@1 35.156 (36.613) Prec@5 66.406 (62.123) Epoch: [3][150/10010] Time 0.323 (0.335) Data 0.000 (0.018) Loss 3.4795 (2.9876) Prec@1 35.938 (36.724) Prec@5 55.469 (62.153) Epoch: [3][160/10010] Time 0.332 (0.334) Data 0.000 (0.017) Loss 2.9460 (2.9812) Prec@1 32.031 (36.777) Prec@5 58.594 (62.189) Epoch: [3][170/10010] Time 0.342 (0.333) Data 0.000 (0.016) Loss 2.9535 (2.9815) Prec@1 36.719 (36.824) Prec@5 57.031 (62.139) Epoch: [3][180/10010] Time 0.323 (0.333) Data 0.001 (0.015) Loss 2.9834 (2.9802) Prec@1 36.719 (36.822) Prec@5 63.281 (62.094) Epoch: [3][190/10010] Time 0.326 (0.333) Data 0.000 (0.014) Loss 2.8540 (2.9788) Prec@1 39.844 (36.788) Prec@5 67.188 (62.193) Epoch: [3][200/10010] Time 0.335 (0.333) Data 0.001 (0.013) Loss 2.9564 (2.9757) Prec@1 39.062 (36.816) Prec@5 64.844 (62.313) Epoch: [3][210/10010] Time 0.341 (0.333) Data 0.000 (0.013) Loss 3.0351 (2.9753) Prec@1 35.156 (36.826) Prec@5 59.375 (62.282) Epoch: [3][220/10010] Time 0.327 (0.333) Data 0.001 (0.012) Loss 2.8913 (2.9730) Prec@1 40.625 (36.903) Prec@5 66.406 (62.327) Epoch: [3][230/10010] Time 0.338 (0.333) Data 0.001 (0.012) Loss 3.1027 (2.9714) Prec@1 36.719 (36.908) Prec@5 60.938 (62.355) Epoch: [3][240/10010] Time 0.348 (0.333) Data 0.001 (0.011) Loss 3.1797 (2.9743) Prec@1 39.062 (36.926) Prec@5 58.594 (62.260) Epoch: [3][250/10010] Time 0.351 (0.333) Data 0.001 (0.011) Loss 2.9678 (2.9786) Prec@1 39.062 (36.828) Prec@5 57.812 (62.164) Epoch: [3][260/10010] Time 0.339 (0.333) Data 0.001 (0.011) Loss 2.7857 (2.9779) Prec@1 40.625 (36.830) Prec@5 65.625 (62.240) Epoch: [3][270/10010] Time 0.329 (0.333) Data 0.000 (0.010) Loss 2.8163 (2.9736) Prec@1 45.312 (36.921) Prec@5 62.500 (62.281) Epoch: [3][280/10010] Time 0.340 (0.333) Data 0.001 (0.010) Loss 3.1551 (2.9737) Prec@1 39.844 (36.930) Prec@5 58.594 (62.253) Epoch: [3][290/10010] Time 0.348 (0.333) Data 0.001 (0.010) Loss 2.7798 (2.9719) Prec@1 39.062 (36.942) Prec@5 64.844 (62.280) Epoch: [3][300/10010] Time 0.319 (0.333) Data 0.001 (0.009) Loss 3.1792 (2.9714) Prec@1 30.469 (36.991) Prec@5 57.031 (62.272) Epoch: [3][310/10010] Time 0.325 (0.333) Data 0.001 (0.009) Loss 2.5979 (2.9720) Prec@1 41.406 (36.970) Prec@5 67.188 (62.241) Epoch: [3][320/10010] Time 0.322 (0.332) Data 0.000 (0.009) Loss 2.6157 (2.9727) Prec@1 42.969 (36.984) Prec@5 67.188 (62.174) Epoch: [3][330/10010] Time 0.329 (0.332) Data 0.000 (0.008) Loss 3.1541 (2.9723) Prec@1 33.594 (37.028) Prec@5 57.812 (62.198) Epoch: [3][340/10010] Time 0.326 (0.332) Data 0.000 (0.008) Loss 2.8029 (2.9728) Prec@1 46.094 (37.035) Prec@5 62.500 (62.195) Epoch: [3][350/10010] Time 0.343 (0.332) Data 0.001 (0.008) Loss 3.1713 (2.9732) Prec@1 28.906 (37.041) Prec@5 58.594 (62.204) Epoch: [3][360/10010] Time 0.345 (0.332) Data 0.000 (0.008) Loss 3.2615 (2.9743) Prec@1 36.719 (37.009) Prec@5 58.594 (62.201) Epoch: [3][370/10010] Time 0.325 (0.332) Data 0.001 (0.008) Loss 2.9181 (2.9753) Prec@1 35.938 (37.041) Prec@5 63.281 (62.201) Epoch: [3][380/10010] Time 0.328 (0.332) Data 0.000 (0.007) Loss 2.8717 (2.9740) Prec@1 39.844 (37.059) Prec@5 64.844 (62.217) Epoch: [3][390/10010] Time 0.337 (0.332) Data 0.001 (0.007) Loss 3.2129 (2.9741) Prec@1 33.594 (37.062) Prec@5 57.031 (62.184) Epoch: [3][400/10010] Time 0.338 (0.332) Data 0.001 (0.007) Loss 2.9732 (2.9744) Prec@1 37.500 (37.046) Prec@5 59.375 (62.219) Epoch: [3][410/10010] Time 0.346 (0.332) Data 0.000 (0.007) Loss 2.8413 (2.9748) Prec@1 39.844 (37.069) Prec@5 64.844 (62.213) Epoch: [3][420/10010] Time 0.329 (0.332) Data 0.001 (0.007) Loss 2.9658 (2.9773) Prec@1 37.500 (37.023) Prec@5 63.281 (62.203) Epoch: [3][430/10010] Time 0.329 (0.332) Data 0.001 (0.007) Loss 3.0676 (2.9770) Prec@1 40.625 (37.034) Prec@5 60.156 (62.205) Epoch: [3][440/10010] Time 0.328 (0.332) Data 0.000 (0.006) Loss 3.1710 (2.9789) Prec@1 33.594 (37.000) Prec@5 56.250 (62.149) Epoch: [3][450/10010] Time 0.322 (0.332) Data 0.001 (0.006) Loss 3.0033 (2.9819) Prec@1 32.812 (36.986) Prec@5 60.156 (62.069) Epoch: [3][460/10010] Time 0.344 (0.332) Data 0.000 (0.006) Loss 3.2410 (2.9802) Prec@1 35.938 (37.025) Prec@5 57.812 (62.110) Epoch: [3][470/10010] Time 0.322 (0.332) Data 0.000 (0.006) Loss 3.0200 (2.9789) Prec@1 40.625 (37.050) Prec@5 60.938 (62.135) Epoch: [3][480/10010] Time 0.322 (0.332) Data 0.000 (0.006) Loss 3.3344 (2.9772) Prec@1 31.250 (37.053) Prec@5 54.688 (62.164) Epoch: [3][490/10010] Time 0.322 (0.332) Data 0.000 (0.006) Loss 3.2611 (2.9785) Prec@1 34.375 (37.016) Prec@5 54.688 (62.124) Epoch: [3][500/10010] Time 0.321 (0.332) Data 0.001 (0.006) Loss 3.2538 (2.9788) Prec@1 28.906 (36.982) Prec@5 61.719 (62.144) Epoch: [3][510/10010] Time 0.322 (0.332) Data 0.001 (0.006) Loss 3.1597 (2.9790) Prec@1 34.375 (36.979) Prec@5 57.031 (62.132) Epoch: [3][520/10010] Time 0.334 (0.332) Data 0.001 (0.006) Loss 3.0248 (2.9775) Prec@1 32.031 (36.986) Prec@5 56.250 (62.137) Epoch: [3][530/10010] Time 0.341 (0.332) Data 0.001 (0.005) Loss 2.9657 (2.9768) Prec@1 39.062 (37.012) Prec@5 63.281 (62.170) Epoch: [3][540/10010] Time 0.302 (0.332) Data 0.001 (0.005) Loss 2.9901 (2.9774) Prec@1 32.812 (36.995) Prec@5 64.844 (62.152) Epoch: [3][550/10010] Time 0.331 (0.332) Data 0.001 (0.005) Loss 2.8485 (2.9753) Prec@1 36.719 (37.026) Prec@5 59.375 (62.164) Epoch: [3][560/10010] Time 0.350 (0.332) Data 0.000 (0.005) Loss 2.8472 (2.9734) Prec@1 36.719 (37.049) Prec@5 66.406 (62.178) Epoch: [3][570/10010] Time 0.355 (0.332) Data 0.000 (0.005) Loss 2.7568 (2.9733) Prec@1 35.156 (37.038) Prec@5 66.406 (62.191) Epoch: [3][580/10010] Time 0.334 (0.332) Data 0.001 (0.005) Loss 3.2863 (2.9735) Prec@1 33.594 (37.023) Prec@5 66.406 (62.206) Epoch: [3][590/10010] Time 0.332 (0.332) Data 0.000 (0.005) Loss 2.8550 (2.9742) Prec@1 39.062 (37.003) Prec@5 62.500 (62.176) Epoch: [3][600/10010] Time 0.331 (0.332) Data 0.001 (0.005) Loss 3.1147 (2.9739) Prec@1 35.156 (37.014) Prec@5 60.156 (62.197) Epoch: [3][610/10010] Time 0.324 (0.332) Data 0.000 (0.005) Loss 2.8533 (2.9729) Prec@1 42.188 (37.056) Prec@5 63.281 (62.215) Epoch: [3][620/10010] Time 0.338 (0.332) Data 0.000 (0.005) Loss 2.8187 (2.9719) Prec@1 39.062 (37.067) Prec@5 65.625 (62.214) Epoch: [3][630/10010] Time 0.333 (0.332) Data 0.000 (0.005) Loss 2.8666 (2.9726) Prec@1 35.938 (37.073) Prec@5 67.188 (62.209) Epoch: [3][640/10010] Time 0.328 (0.332) Data 0.000 (0.005) Loss 3.0593 (2.9730) Prec@1 34.375 (37.049) Prec@5 58.594 (62.216) Epoch: [3][650/10010] Time 0.332 (0.332) Data 0.000 (0.005) Loss 3.0489 (2.9728) Prec@1 32.031 (37.043) Prec@5 59.375 (62.198) Epoch: [3][660/10010] Time 0.336 (0.332) Data 0.001 (0.005) Loss 2.7493 (2.9729) Prec@1 43.750 (37.047) Prec@5 69.531 (62.193) Epoch: [3][670/10010] Time 0.333 (0.332) Data 0.001 (0.004) Loss 3.5614 (2.9738) Prec@1 25.781 (37.034) Prec@5 49.219 (62.168) Epoch: [3][680/10010] Time 0.329 (0.332) Data 0.000 (0.004) Loss 3.0066 (2.9723) Prec@1 34.375 (37.032) Prec@5 60.938 (62.196) Epoch: [3][690/10010] Time 0.338 (0.332) Data 0.000 (0.004) Loss 3.1984 (2.9729) Prec@1 33.594 (36.995) Prec@5 59.375 (62.190) Epoch: [3][700/10010] Time 0.332 (0.332) Data 0.001 (0.004) Loss 2.7982 (2.9729) Prec@1 38.281 (37.010) Prec@5 65.625 (62.209) Epoch: [3][710/10010] Time 0.323 (0.332) Data 0.001 (0.004) Loss 3.0093 (2.9724) Prec@1 34.375 (36.985) Prec@5 60.156 (62.212) Epoch: [3][720/10010] Time 0.315 (0.332) Data 0.000 (0.004) Loss 2.6797 (2.9732) Prec@1 42.188 (36.960) Prec@5 71.094 (62.202) Epoch: [3][730/10010] Time 0.323 (0.332) Data 0.001 (0.004) Loss 2.9591 (2.9737) Prec@1 39.062 (36.940) Prec@5 63.281 (62.196) Epoch: [3][740/10010] Time 0.321 (0.332) Data 0.001 (0.004) Loss 2.8926 (2.9753) Prec@1 37.500 (36.894) Prec@5 61.719 (62.168) Epoch: [3][750/10010] Time 0.325 (0.332) Data 0.001 (0.004) Loss 3.1746 (2.9764) Prec@1 34.375 (36.875) Prec@5 65.625 (62.157) Epoch: [3][760/10010] Time 0.332 (0.331) Data 0.000 (0.004) Loss 3.4025 (2.9771) Prec@1 30.469 (36.872) Prec@5 55.469 (62.152) Epoch: [3][770/10010] Time 0.321 (0.331) Data 0.001 (0.004) Loss 2.7982 (2.9764) Prec@1 34.375 (36.868) Prec@5 62.500 (62.163) Epoch: [3][780/10010] Time 0.328 (0.331) Data 0.001 (0.004) Loss 2.9102 (2.9758) Prec@1 39.844 (36.885) Prec@5 62.500 (62.173) Epoch: [3][790/10010] Time 0.327 (0.331) Data 0.000 (0.004) Loss 2.6592 (2.9757) Prec@1 41.406 (36.899) Prec@5 64.844 (62.192) Epoch: [3][800/10010] Time 0.327 (0.331) Data 0.000 (0.004) Loss 2.8947 (2.9759) Prec@1 40.625 (36.914) Prec@5 63.281 (62.196) Epoch: [3][810/10010] Time 0.322 (0.331) Data 0.001 (0.004) Loss 2.8845 (2.9789) Prec@1 41.406 (36.883) Prec@5 62.500 (62.157) Epoch: [3][820/10010] Time 0.320 (0.331) Data 0.000 (0.004) Loss 3.0269 (2.9781) Prec@1 35.156 (36.901) Prec@5 57.812 (62.165) Epoch: [3][830/10010] Time 0.339 (0.331) Data 0.001 (0.004) Loss 3.4365 (2.9785) Prec@1 32.812 (36.891) Prec@5 51.562 (62.143) Epoch: [3][840/10010] Time 0.346 (0.331) Data 0.001 (0.004) Loss 3.2557 (2.9779) Prec@1 35.156 (36.915) Prec@5 55.469 (62.147) Epoch: [3][850/10010] Time 0.342 (0.331) Data 0.001 (0.004) Loss 3.1622 (2.9771) Prec@1 34.375 (36.923) Prec@5 57.031 (62.167) Epoch: [3][860/10010] Time 0.318 (0.331) Data 0.001 (0.004) Loss 3.3897 (2.9762) Prec@1 30.469 (36.933) Prec@5 53.125 (62.180) Epoch: [3][870/10010] Time 0.320 (0.331) Data 0.001 (0.004) Loss 2.9770 (2.9759) Prec@1 39.062 (36.929) Prec@5 62.500 (62.189) Epoch: [3][880/10010] Time 0.335 (0.331) Data 0.001 (0.004) Loss 3.2138 (2.9759) Prec@1 32.031 (36.932) Prec@5 61.719 (62.198) Epoch: [3][890/10010] Time 0.325 (0.331) Data 0.000 (0.004) Loss 2.9471 (2.9759) Prec@1 34.375 (36.942) Prec@5 60.938 (62.213) Epoch: [3][900/10010] Time 0.343 (0.331) Data 0.001 (0.003) Loss 3.2219 (2.9770) Prec@1 32.031 (36.923) Prec@5 57.031 (62.202) Epoch: [3][910/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 2.7747 (2.9776) Prec@1 39.062 (36.905) Prec@5 65.625 (62.193) Epoch: [3][920/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 3.0910 (2.9780) Prec@1 35.938 (36.893) Prec@5 55.469 (62.190) Epoch: [3][930/10010] Time 0.317 (0.332) Data 0.001 (0.003) Loss 2.7426 (2.9779) Prec@1 41.406 (36.899) Prec@5 65.625 (62.193) Epoch: [3][940/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.9989 (2.9785) Prec@1 35.938 (36.884) Prec@5 62.500 (62.187) Epoch: [3][950/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 2.6721 (2.9783) Prec@1 46.875 (36.899) Prec@5 64.844 (62.179) Epoch: [3][960/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 3.2330 (2.9784) Prec@1 38.281 (36.901) Prec@5 57.812 (62.173) Epoch: [3][970/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 3.1359 (2.9779) Prec@1 34.375 (36.898) Prec@5 59.375 (62.192) Epoch: [3][980/10010] Time 0.319 (0.332) Data 0.001 (0.003) Loss 3.1198 (2.9763) Prec@1 27.344 (36.904) Prec@5 64.062 (62.220) Epoch: [3][990/10010] Time 0.319 (0.332) Data 0.001 (0.003) Loss 3.2576 (2.9758) Prec@1 30.469 (36.900) Prec@5 58.594 (62.238) Epoch: [3][1000/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.8965 (2.9754) Prec@1 35.938 (36.901) Prec@5 62.500 (62.235) Epoch: [3][1010/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 2.7714 (2.9756) Prec@1 44.531 (36.913) Prec@5 63.281 (62.228) Epoch: [3][1020/10010] Time 0.318 (0.332) Data 0.000 (0.003) Loss 3.0650 (2.9755) Prec@1 33.594 (36.919) Prec@5 61.719 (62.232) Epoch: [3][1030/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 3.1321 (2.9760) Prec@1 35.156 (36.915) Prec@5 60.156 (62.231) Epoch: [3][1040/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 2.6822 (2.9764) Prec@1 42.969 (36.925) Prec@5 64.062 (62.218) Epoch: [3][1050/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 2.7982 (2.9759) Prec@1 41.406 (36.939) Prec@5 61.719 (62.229) Epoch: [3][1060/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.7666 (2.9752) Prec@1 36.719 (36.946) Prec@5 66.406 (62.248) Epoch: [3][1070/10010] Time 0.315 (0.332) Data 0.001 (0.003) Loss 2.8362 (2.9749) Prec@1 35.938 (36.949) Prec@5 60.938 (62.255) Epoch: [3][1080/10010] Time 0.348 (0.332) Data 0.000 (0.003) Loss 2.9474 (2.9738) Prec@1 35.156 (36.975) Prec@5 60.156 (62.274) Epoch: [3][1090/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 3.1791 (2.9741) Prec@1 29.688 (36.975) Prec@5 60.156 (62.265) Epoch: [3][1100/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 3.0389 (2.9745) Prec@1 35.156 (36.953) Prec@5 59.375 (62.256) Epoch: [3][1110/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 3.1115 (2.9757) Prec@1 35.938 (36.939) Prec@5 65.625 (62.232) Epoch: [3][1120/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 2.9686 (2.9756) Prec@1 39.844 (36.952) Prec@5 56.250 (62.223) Epoch: [3][1130/10010] Time 0.334 (0.332) Data 0.001 (0.003) Loss 3.0931 (2.9751) Prec@1 38.281 (36.945) Prec@5 59.375 (62.226) Epoch: [3][1140/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 2.5925 (2.9752) Prec@1 42.188 (36.941) Prec@5 71.094 (62.227) Epoch: [3][1150/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 3.1008 (2.9755) Prec@1 40.625 (36.947) Prec@5 60.156 (62.226) Epoch: [3][1160/10010] Time 0.332 (0.331) Data 0.001 (0.003) Loss 3.1111 (2.9754) Prec@1 32.031 (36.949) Prec@5 60.938 (62.227) Epoch: [3][1170/10010] Time 0.321 (0.331) Data 0.001 (0.003) Loss 3.0437 (2.9740) Prec@1 35.156 (36.976) Prec@5 57.031 (62.242) Epoch: [3][1180/10010] Time 0.317 (0.331) Data 0.001 (0.003) Loss 3.2925 (2.9747) Prec@1 33.594 (36.963) Prec@5 54.688 (62.223) Epoch: [3][1190/10010] Time 0.316 (0.331) Data 0.001 (0.003) Loss 2.7824 (2.9742) Prec@1 39.062 (36.965) Prec@5 65.625 (62.245) Epoch: [3][1200/10010] Time 0.320 (0.331) Data 0.001 (0.003) Loss 3.2036 (2.9735) Prec@1 30.469 (36.971) Prec@5 58.594 (62.262) Epoch: [3][1210/10010] Time 0.325 (0.331) Data 0.000 (0.003) Loss 2.7507 (2.9726) Prec@1 38.281 (36.979) Prec@5 65.625 (62.272) Epoch: [3][1220/10010] Time 0.325 (0.331) Data 0.000 (0.003) Loss 3.0801 (2.9722) Prec@1 35.938 (36.996) Prec@5 58.594 (62.275) Epoch: [3][1230/10010] Time 0.339 (0.331) Data 0.000 (0.003) Loss 3.2302 (2.9721) Prec@1 35.938 (36.997) Prec@5 53.906 (62.268) Epoch: [3][1240/10010] Time 0.330 (0.331) Data 0.001 (0.003) Loss 3.1081 (2.9717) Prec@1 41.406 (37.009) Prec@5 61.719 (62.279) Epoch: [3][1250/10010] Time 0.329 (0.331) Data 0.000 (0.003) Loss 2.7466 (2.9714) Prec@1 42.188 (37.024) Prec@5 64.844 (62.290) Epoch: [3][1260/10010] Time 0.329 (0.331) Data 0.000 (0.003) Loss 3.0617 (2.9717) Prec@1 38.281 (37.025) Prec@5 59.375 (62.279) Epoch: [3][1270/10010] Time 0.337 (0.331) Data 0.001 (0.003) Loss 2.9556 (2.9724) Prec@1 33.594 (37.021) Prec@5 57.031 (62.268) Epoch: [3][1280/10010] Time 0.317 (0.331) Data 0.001 (0.003) Loss 3.0811 (2.9727) Prec@1 30.469 (37.013) Prec@5 58.594 (62.271) Epoch: [3][1290/10010] Time 0.341 (0.331) Data 0.000 (0.003) Loss 2.9569 (2.9732) Prec@1 43.750 (37.007) Prec@5 61.719 (62.265) Epoch: [3][1300/10010] Time 0.328 (0.331) Data 0.001 (0.003) Loss 2.5943 (2.9726) Prec@1 39.062 (37.012) Prec@5 65.625 (62.266) Epoch: [3][1310/10010] Time 0.323 (0.331) Data 0.001 (0.003) Loss 3.1418 (2.9734) Prec@1 32.031 (36.996) Prec@5 54.688 (62.254) Epoch: [3][1320/10010] Time 0.316 (0.331) Data 0.001 (0.003) Loss 3.1787 (2.9745) Prec@1 28.906 (36.975) Prec@5 58.594 (62.233) Epoch: [3][1330/10010] Time 0.337 (0.331) Data 0.000 (0.003) Loss 2.7156 (2.9754) Prec@1 39.844 (36.966) Prec@5 67.188 (62.215) Epoch: [3][1340/10010] Time 0.335 (0.331) Data 0.000 (0.003) Loss 3.2154 (2.9760) Prec@1 30.469 (36.947) Prec@5 57.031 (62.204) Epoch: [3][1350/10010] Time 0.340 (0.331) Data 0.000 (0.003) Loss 2.8073 (2.9760) Prec@1 35.156 (36.929) Prec@5 66.406 (62.202) Epoch: [3][1360/10010] Time 0.324 (0.331) Data 0.001 (0.003) Loss 3.0700 (2.9755) Prec@1 33.594 (36.941) Prec@5 60.938 (62.215) Epoch: [3][1370/10010] Time 0.313 (0.331) Data 0.001 (0.002) Loss 3.1930 (2.9755) Prec@1 28.125 (36.937) Prec@5 57.031 (62.220) Epoch: [3][1380/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.6224 (2.9749) Prec@1 39.062 (36.935) Prec@5 67.188 (62.234) Epoch: [3][1390/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.0216 (2.9749) Prec@1 36.719 (36.937) Prec@5 60.938 (62.229) Epoch: [3][1400/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.9693 (2.9757) Prec@1 35.938 (36.930) Prec@5 56.250 (62.218) Epoch: [3][1410/10010] Time 0.353 (0.331) Data 0.000 (0.002) Loss 2.8472 (2.9749) Prec@1 38.281 (36.928) Prec@5 64.062 (62.239) Epoch: [3][1420/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 3.1907 (2.9744) Prec@1 35.156 (36.940) Prec@5 58.594 (62.243) Epoch: [3][1430/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 3.0691 (2.9733) Prec@1 32.812 (36.948) Prec@5 57.812 (62.256) Epoch: [3][1440/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 3.0155 (2.9730) Prec@1 31.250 (36.943) Prec@5 64.844 (62.272) Epoch: [3][1450/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 3.1761 (2.9725) Prec@1 33.594 (36.951) Prec@5 64.062 (62.277) Epoch: [3][1460/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.9947 (2.9729) Prec@1 36.719 (36.955) Prec@5 64.844 (62.276) Epoch: [3][1470/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.9937 (2.9733) Prec@1 37.500 (36.960) Prec@5 60.156 (62.272) Epoch: [3][1480/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.9873 (2.9727) Prec@1 38.281 (36.968) Prec@5 62.500 (62.276) Epoch: [3][1490/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.9399 (2.9721) Prec@1 38.281 (36.973) Prec@5 65.625 (62.277) Epoch: [3][1500/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 3.0783 (2.9721) Prec@1 35.938 (36.970) Prec@5 58.594 (62.277) Epoch: [3][1510/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 3.1839 (2.9723) Prec@1 32.812 (36.966) Prec@5 57.031 (62.274) Epoch: [3][1520/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.7644 (2.9731) Prec@1 41.406 (36.955) Prec@5 67.188 (62.264) Epoch: [3][1530/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.6971 (2.9729) Prec@1 45.312 (36.961) Prec@5 66.406 (62.265) Epoch: [3][1540/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 3.0771 (2.9736) Prec@1 37.500 (36.959) Prec@5 60.156 (62.261) Epoch: [3][1550/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 3.1276 (2.9737) Prec@1 37.500 (36.960) Prec@5 61.719 (62.260) Epoch: [3][1560/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.7558 (2.9731) Prec@1 38.281 (36.984) Prec@5 67.969 (62.273) Epoch: [3][1570/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.1957 (2.9733) Prec@1 32.812 (36.983) Prec@5 57.031 (62.265) Epoch: [3][1580/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.7277 (2.9734) Prec@1 42.969 (36.985) Prec@5 71.094 (62.263) Epoch: [3][1590/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.8001 (2.9729) Prec@1 40.625 (36.990) Prec@5 61.719 (62.268) Epoch: [3][1600/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.9764 (2.9730) Prec@1 42.969 (37.003) Prec@5 62.500 (62.267) Epoch: [3][1610/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.8792 (2.9727) Prec@1 33.594 (37.011) Prec@5 65.625 (62.280) Epoch: [3][1620/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.8262 (2.9723) Prec@1 32.812 (37.017) Prec@5 62.500 (62.280) Epoch: [3][1630/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.7685 (2.9720) Prec@1 39.062 (37.021) Prec@5 64.844 (62.278) Epoch: [3][1640/10010] Time 0.316 (0.331) Data 0.001 (0.002) Loss 2.5944 (2.9713) Prec@1 46.094 (37.036) Prec@5 67.969 (62.289) Epoch: [3][1650/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 3.2283 (2.9715) Prec@1 30.469 (37.039) Prec@5 53.906 (62.286) Epoch: [3][1660/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.9508 (2.9715) Prec@1 42.188 (37.033) Prec@5 63.281 (62.280) Epoch: [3][1670/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 3.0617 (2.9719) Prec@1 34.375 (37.024) Prec@5 54.688 (62.275) Epoch: [3][1680/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 3.4933 (2.9726) Prec@1 27.344 (37.024) Prec@5 55.469 (62.271) Epoch: [3][1690/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.9928 (2.9732) Prec@1 40.625 (37.007) Prec@5 60.156 (62.263) Epoch: [3][1700/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 3.1966 (2.9726) Prec@1 31.250 (37.016) Prec@5 53.906 (62.270) Epoch: [3][1710/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 3.1401 (2.9719) Prec@1 34.375 (37.026) Prec@5 63.281 (62.279) /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: [3][1720/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 3.0599 (2.9721) Prec@1 35.938 (37.018) Prec@5 59.375 (62.273) Epoch: [3][1730/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.6292 (2.9722) Prec@1 40.625 (37.018) Prec@5 68.750 (62.268) Epoch: [3][1740/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 3.2551 (2.9728) Prec@1 28.906 (37.009) Prec@5 57.812 (62.248) Epoch: [3][1750/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.9433 (2.9724) Prec@1 32.812 (37.016) Prec@5 64.062 (62.237) Epoch: [3][1760/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.8579 (2.9727) Prec@1 39.844 (37.014) Prec@5 66.406 (62.232) Epoch: [3][1770/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.6909 (2.9723) Prec@1 42.969 (37.024) Prec@5 63.281 (62.236) Epoch: [3][1780/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 3.4066 (2.9720) Prec@1 33.594 (37.025) Prec@5 55.469 (62.244) Epoch: [3][1790/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 3.1060 (2.9725) Prec@1 35.938 (37.014) Prec@5 59.375 (62.233) Epoch: [3][1800/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.7538 (2.9724) Prec@1 39.844 (37.013) Prec@5 66.406 (62.242) Epoch: [3][1810/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 3.2270 (2.9727) Prec@1 29.688 (37.011) Prec@5 59.375 (62.231) Epoch: [3][1820/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.8769 (2.9728) Prec@1 39.062 (37.012) Prec@5 62.500 (62.231) Epoch: [3][1830/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 2.7295 (2.9726) Prec@1 42.188 (37.023) Prec@5 66.406 (62.237) Epoch: [3][1840/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.7390 (2.9725) Prec@1 40.625 (37.017) Prec@5 66.406 (62.247) Epoch: [3][1850/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.8829 (2.9722) Prec@1 35.938 (37.015) Prec@5 62.500 (62.254) Epoch: [3][1860/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.5287 (2.9720) Prec@1 44.531 (37.020) Prec@5 70.312 (62.264) Epoch: [3][1870/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.0054 (2.9719) Prec@1 35.156 (37.022) Prec@5 63.281 (62.257) Epoch: [3][1880/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.8740 (2.9721) Prec@1 41.406 (37.014) Prec@5 62.500 (62.249) Epoch: [3][1890/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 3.2242 (2.9724) Prec@1 32.812 (37.014) Prec@5 60.156 (62.250) Epoch: [3][1900/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 3.1530 (2.9728) Prec@1 30.469 (37.004) Prec@5 58.594 (62.242) Epoch: [3][1910/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.8614 (2.9733) Prec@1 35.156 (36.987) Prec@5 66.406 (62.228) Epoch: [3][1920/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.9560 (2.9726) Prec@1 42.188 (37.005) Prec@5 63.281 (62.242) Epoch: [3][1930/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 2.7709 (2.9719) Prec@1 42.188 (37.016) Prec@5 64.844 (62.257) Epoch: [3][1940/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.0142 (2.9721) Prec@1 34.375 (37.013) Prec@5 61.719 (62.254) Epoch: [3][1950/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.8963 (2.9722) Prec@1 39.844 (37.005) Prec@5 63.281 (62.260) Epoch: [3][1960/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 3.3801 (2.9732) Prec@1 32.031 (36.988) Prec@5 57.031 (62.245) Epoch: [3][1970/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.8198 (2.9736) Prec@1 39.062 (36.984) Prec@5 65.625 (62.239) Epoch: [3][1980/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 3.0738 (2.9739) Prec@1 40.625 (36.981) Prec@5 59.375 (62.234) Epoch: [3][1990/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.9426 (2.9743) Prec@1 36.719 (36.982) Prec@5 61.719 (62.228) Epoch: [3][2000/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.8524 (2.9740) Prec@1 41.406 (36.987) Prec@5 69.531 (62.234) Epoch: [3][2010/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 3.0767 (2.9740) Prec@1 35.938 (36.979) Prec@5 60.938 (62.241) Epoch: [3][2020/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.9635 (2.9740) Prec@1 39.062 (36.979) Prec@5 61.719 (62.238) Epoch: [3][2030/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 3.3409 (2.9742) Prec@1 33.594 (36.976) Prec@5 58.594 (62.237) Epoch: [3][2040/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 3.0363 (2.9743) Prec@1 35.938 (36.971) Prec@5 62.500 (62.236) Epoch: [3][2050/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.9026 (2.9748) Prec@1 37.500 (36.961) Prec@5 64.062 (62.227) Epoch: [3][2060/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 3.0683 (2.9747) Prec@1 32.812 (36.958) Prec@5 64.062 (62.226) Epoch: [3][2070/10010] Time 0.314 (0.331) Data 0.000 (0.002) Loss 3.1353 (2.9744) Prec@1 35.156 (36.955) Prec@5 64.062 (62.236) Epoch: [3][2080/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.8831 (2.9741) Prec@1 34.375 (36.955) Prec@5 60.938 (62.237) Epoch: [3][2090/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.7184 (2.9742) Prec@1 41.406 (36.955) Prec@5 67.969 (62.234) Epoch: [3][2100/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.9863 (2.9742) Prec@1 41.406 (36.962) Prec@5 57.031 (62.233) Epoch: [3][2110/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 3.0600 (2.9740) Prec@1 37.500 (36.966) Prec@5 60.156 (62.239) Epoch: [3][2120/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.7706 (2.9738) Prec@1 38.281 (36.966) Prec@5 65.625 (62.246) Epoch: [3][2130/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.7893 (2.9741) Prec@1 37.500 (36.965) Prec@5 67.969 (62.237) Epoch: [3][2140/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.9864 (2.9740) Prec@1 37.500 (36.967) Prec@5 64.062 (62.239) Epoch: [3][2150/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.9873 (2.9739) Prec@1 36.719 (36.973) Prec@5 58.594 (62.238) Epoch: [3][2160/10010] Time 0.346 (0.331) Data 0.001 (0.002) Loss 3.2805 (2.9745) Prec@1 36.719 (36.965) Prec@5 53.125 (62.228) Epoch: [3][2170/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 3.0280 (2.9749) Prec@1 43.750 (36.967) Prec@5 64.062 (62.225) Epoch: [3][2180/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.8724 (2.9748) Prec@1 42.188 (36.966) Prec@5 65.625 (62.226) Epoch: [3][2190/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 3.2601 (2.9749) Prec@1 34.375 (36.965) Prec@5 58.594 (62.229) Epoch: [3][2200/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.8389 (2.9750) Prec@1 39.062 (36.963) Prec@5 64.062 (62.230) Epoch: [3][2210/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.8011 (2.9749) Prec@1 42.969 (36.960) Prec@5 64.844 (62.231) Epoch: [3][2220/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.7158 (2.9750) Prec@1 46.094 (36.963) Prec@5 67.969 (62.236) Epoch: [3][2230/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.6584 (2.9749) Prec@1 47.656 (36.972) Prec@5 66.406 (62.231) Epoch: [3][2240/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.0067 (2.9752) Prec@1 27.344 (36.958) Prec@5 66.406 (62.232) Epoch: [3][2250/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.1566 (2.9749) Prec@1 29.688 (36.961) Prec@5 53.906 (62.237) Epoch: [3][2260/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.7358 (2.9747) Prec@1 42.969 (36.969) Prec@5 61.719 (62.241) Epoch: [3][2270/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.8487 (2.9746) Prec@1 41.406 (36.967) Prec@5 65.625 (62.241) Epoch: [3][2280/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.8844 (2.9742) Prec@1 39.062 (36.974) Prec@5 65.625 (62.249) Epoch: [3][2290/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.7812 (2.9744) Prec@1 48.438 (36.974) Prec@5 61.719 (62.244) Epoch: [3][2300/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 2.9995 (2.9740) Prec@1 35.938 (36.979) Prec@5 61.719 (62.251) Epoch: [3][2310/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.6377 (2.9744) Prec@1 39.844 (36.976) Prec@5 64.844 (62.248) Epoch: [3][2320/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 3.1130 (2.9743) Prec@1 35.938 (36.980) Prec@5 63.281 (62.249) Epoch: [3][2330/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.9568 (2.9740) Prec@1 35.156 (36.980) Prec@5 64.844 (62.255) Epoch: [3][2340/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.7737 (2.9736) Prec@1 45.312 (36.987) Prec@5 64.844 (62.263) Epoch: [3][2350/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.7805 (2.9733) Prec@1 36.719 (36.988) Prec@5 66.406 (62.265) Epoch: [3][2360/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.6699 (2.9730) Prec@1 39.062 (36.991) Prec@5 64.062 (62.271) Epoch: [3][2370/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 3.0948 (2.9730) Prec@1 32.812 (36.987) Prec@5 59.375 (62.269) Epoch: [3][2380/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 3.0315 (2.9729) Prec@1 39.844 (36.996) Prec@5 63.281 (62.271) Epoch: [3][2390/10010] Time 0.345 (0.331) Data 0.001 (0.002) Loss 2.9965 (2.9726) Prec@1 37.500 (37.008) Prec@5 58.594 (62.279) Epoch: [3][2400/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.9690 (2.9725) Prec@1 36.719 (37.011) Prec@5 63.281 (62.278) Epoch: [3][2410/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.8712 (2.9724) Prec@1 40.625 (37.007) Prec@5 64.062 (62.279) Epoch: [3][2420/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.6440 (2.9723) Prec@1 42.969 (37.011) Prec@5 64.062 (62.282) Epoch: [3][2430/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 3.0164 (2.9724) Prec@1 34.375 (37.006) Prec@5 63.281 (62.283) Epoch: [3][2440/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.0834 (2.9726) Prec@1 35.156 (37.003) Prec@5 60.938 (62.279) Epoch: [3][2450/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.9748 (2.9728) Prec@1 32.031 (36.999) Prec@5 61.719 (62.274) Epoch: [3][2460/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.8119 (2.9730) Prec@1 41.406 (36.997) Prec@5 67.188 (62.271) Epoch: [3][2470/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.2716 (2.9736) Prec@1 24.219 (36.981) Prec@5 62.500 (62.264) Epoch: [3][2480/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 3.1760 (2.9738) Prec@1 39.844 (36.973) Prec@5 55.469 (62.264) Epoch: [3][2490/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 3.1256 (2.9737) Prec@1 36.719 (36.970) Prec@5 64.844 (62.265) Epoch: [3][2500/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.7926 (2.9737) Prec@1 41.406 (36.970) Prec@5 66.406 (62.263) Epoch: [3][2510/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.7025 (2.9734) Prec@1 39.844 (36.978) Prec@5 70.312 (62.270) Epoch: [3][2520/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 3.0840 (2.9732) Prec@1 27.344 (36.976) Prec@5 62.500 (62.277) Epoch: [3][2530/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.8267 (2.9730) Prec@1 45.312 (36.986) Prec@5 63.281 (62.280) Epoch: [3][2540/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.7050 (2.9727) Prec@1 42.188 (36.990) Prec@5 65.625 (62.284) Epoch: [3][2550/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 3.1196 (2.9727) Prec@1 34.375 (36.988) Prec@5 62.500 (62.285) Epoch: [3][2560/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.8868 (2.9728) Prec@1 42.188 (36.988) Prec@5 64.062 (62.285) Epoch: [3][2570/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 3.0197 (2.9729) Prec@1 38.281 (36.983) Prec@5 64.844 (62.282) Epoch: [3][2580/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.9337 (2.9730) Prec@1 35.938 (36.978) Prec@5 64.844 (62.283) Epoch: [3][2590/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.0039 (2.9727) Prec@1 30.469 (36.985) Prec@5 61.719 (62.288) Epoch: [3][2600/10010] Time 0.334 (0.331) Data 0.004 (0.002) Loss 3.0911 (2.9728) Prec@1 37.500 (36.984) Prec@5 57.031 (62.284) Epoch: [3][2610/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 3.0422 (2.9731) Prec@1 35.156 (36.977) Prec@5 63.281 (62.279) Epoch: [3][2620/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.9653 (2.9732) Prec@1 32.812 (36.969) Prec@5 64.062 (62.284) Epoch: [3][2630/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 3.3070 (2.9731) Prec@1 35.156 (36.973) Prec@5 53.906 (62.283) Epoch: [3][2640/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.7811 (2.9730) Prec@1 40.625 (36.973) Prec@5 66.406 (62.291) Epoch: [3][2650/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 3.3473 (2.9736) Prec@1 28.906 (36.967) Prec@5 60.938 (62.284) Epoch: [3][2660/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.8337 (2.9739) Prec@1 44.531 (36.970) Prec@5 63.281 (62.279) Epoch: [3][2670/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.7092 (2.9740) Prec@1 41.406 (36.962) Prec@5 68.750 (62.274) Epoch: [3][2680/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.4700 (2.9738) Prec@1 46.094 (36.968) Prec@5 70.312 (62.276) Epoch: [3][2690/10010] Time 0.340 (0.331) Data 0.002 (0.002) Loss 2.8023 (2.9738) Prec@1 43.750 (36.967) Prec@5 65.625 (62.278) Epoch: [3][2700/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 2.8786 (2.9736) Prec@1 35.156 (36.968) Prec@5 62.500 (62.278) Epoch: [3][2710/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.9920 (2.9735) Prec@1 39.062 (36.973) Prec@5 60.156 (62.276) Epoch: [3][2720/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.9673 (2.9733) Prec@1 39.062 (36.979) Prec@5 61.719 (62.278) Epoch: [3][2730/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 3.5157 (2.9737) Prec@1 26.562 (36.966) Prec@5 55.469 (62.271) Epoch: [3][2740/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 2.9115 (2.9733) Prec@1 38.281 (36.968) Prec@5 60.156 (62.273) Epoch: [3][2750/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 3.1118 (2.9736) Prec@1 35.938 (36.962) Prec@5 52.344 (62.264) Epoch: [3][2760/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 3.1407 (2.9737) Prec@1 36.719 (36.962) Prec@5 58.594 (62.259) Epoch: [3][2770/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 3.1319 (2.9736) Prec@1 32.812 (36.962) Prec@5 62.500 (62.264) Epoch: [3][2780/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 3.0333 (2.9737) Prec@1 35.156 (36.965) Prec@5 59.375 (62.265) Epoch: [3][2790/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 3.1312 (2.9736) Prec@1 41.406 (36.968) Prec@5 64.062 (62.265) Epoch: [3][2800/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.8814 (2.9736) Prec@1 39.844 (36.964) Prec@5 67.188 (62.261) Epoch: [3][2810/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.7644 (2.9739) Prec@1 32.031 (36.951) Prec@5 66.406 (62.255) Epoch: [3][2820/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.8821 (2.9737) Prec@1 39.062 (36.951) Prec@5 63.281 (62.259) Epoch: [3][2830/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 3.0525 (2.9737) Prec@1 38.281 (36.953) Prec@5 60.156 (62.257) Epoch: [3][2840/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.8334 (2.9737) Prec@1 39.062 (36.952) Prec@5 64.062 (62.261) Epoch: [3][2850/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.8782 (2.9741) Prec@1 32.812 (36.945) Prec@5 61.719 (62.253) Epoch: [3][2860/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.4797 (2.9740) Prec@1 29.688 (36.945) Prec@5 57.812 (62.264) Epoch: [3][2870/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.8236 (2.9738) Prec@1 38.281 (36.946) Prec@5 66.406 (62.271) Epoch: [3][2880/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.9702 (2.9735) Prec@1 39.062 (36.947) Prec@5 61.719 (62.274) Epoch: [3][2890/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.9185 (2.9732) Prec@1 38.281 (36.953) Prec@5 60.156 (62.283) Epoch: [3][2900/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 3.1221 (2.9732) Prec@1 41.406 (36.956) Prec@5 61.719 (62.280) Epoch: [3][2910/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.3909 (2.9733) Prec@1 32.812 (36.953) Prec@5 56.250 (62.279) Epoch: [3][2920/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9477 (2.9731) Prec@1 39.062 (36.955) Prec@5 66.406 (62.287) Epoch: [3][2930/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8460 (2.9729) Prec@1 37.500 (36.952) Prec@5 59.375 (62.289) Epoch: [3][2940/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7165 (2.9726) Prec@1 44.531 (36.961) Prec@5 67.188 (62.292) Epoch: [3][2950/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9012 (2.9725) Prec@1 39.844 (36.963) Prec@5 64.062 (62.293) Epoch: [3][2960/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0771 (2.9725) Prec@1 34.375 (36.960) Prec@5 62.500 (62.291) Epoch: [3][2970/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0204 (2.9727) Prec@1 44.531 (36.960) Prec@5 64.062 (62.293) Epoch: [3][2980/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.2538 (2.9729) Prec@1 27.344 (36.957) Prec@5 60.156 (62.296) Epoch: [3][2990/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.2268 (2.9727) Prec@1 30.469 (36.957) Prec@5 62.500 (62.302) Epoch: [3][3000/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9949 (2.9725) Prec@1 37.500 (36.955) Prec@5 62.500 (62.308) Epoch: [3][3010/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7739 (2.9723) Prec@1 39.844 (36.959) Prec@5 62.500 (62.303) Epoch: [3][3020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.1790 (2.9722) Prec@1 30.469 (36.957) Prec@5 62.500 (62.309) Epoch: [3][3030/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 3.1697 (2.9720) Prec@1 37.500 (36.959) Prec@5 56.250 (62.310) Epoch: [3][3040/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.2821 (2.9720) Prec@1 32.812 (36.956) Prec@5 53.906 (62.309) Epoch: [3][3050/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8861 (2.9718) Prec@1 34.375 (36.955) Prec@5 64.844 (62.314) Epoch: [3][3060/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9169 (2.9718) Prec@1 36.719 (36.957) Prec@5 64.844 (62.314) Epoch: [3][3070/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.1398 (2.9721) Prec@1 32.812 (36.954) Prec@5 55.469 (62.310) Epoch: [3][3080/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7958 (2.9720) Prec@1 39.844 (36.956) Prec@5 64.062 (62.310) Epoch: [3][3090/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0506 (2.9719) Prec@1 36.719 (36.955) Prec@5 63.281 (62.315) Epoch: [3][3100/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9497 (2.9718) Prec@1 37.500 (36.951) Prec@5 59.375 (62.314) Epoch: [3][3110/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.2781 (2.9718) Prec@1 35.938 (36.953) Prec@5 56.250 (62.315) Epoch: [3][3120/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6522 (2.9717) Prec@1 38.281 (36.950) Prec@5 68.750 (62.322) Epoch: [3][3130/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.3803 (2.9717) Prec@1 35.938 (36.953) Prec@5 53.906 (62.321) /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: [3][3140/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8345 (2.9718) Prec@1 39.062 (36.954) Prec@5 64.062 (62.321) Epoch: [3][3150/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7120 (2.9718) Prec@1 44.531 (36.954) Prec@5 64.062 (62.323) Epoch: [3][3160/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8466 (2.9714) Prec@1 41.406 (36.960) Prec@5 61.719 (62.326) Epoch: [3][3170/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0554 (2.9713) Prec@1 34.375 (36.960) Prec@5 61.719 (62.330) Epoch: [3][3180/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 3.0030 (2.9714) Prec@1 33.594 (36.955) Prec@5 64.844 (62.329) Epoch: [3][3190/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.8428 (2.9712) Prec@1 40.625 (36.958) Prec@5 62.500 (62.329) Epoch: [3][3200/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6856 (2.9706) Prec@1 41.406 (36.969) Prec@5 64.062 (62.338) /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: [3][3210/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9300 (2.9706) Prec@1 35.156 (36.973) Prec@5 60.938 (62.331) Epoch: [3][3220/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9528 (2.9707) Prec@1 37.500 (36.971) Prec@5 63.281 (62.329) Epoch: [3][3230/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7878 (2.9705) Prec@1 34.375 (36.974) Prec@5 62.500 (62.332) Epoch: [3][3240/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0100 (2.9707) Prec@1 38.281 (36.969) Prec@5 57.031 (62.328) Epoch: [3][3250/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0980 (2.9707) Prec@1 34.375 (36.967) Prec@5 60.938 (62.329) Epoch: [3][3260/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8780 (2.9707) Prec@1 35.156 (36.966) Prec@5 58.594 (62.327) Epoch: [3][3270/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9275 (2.9706) Prec@1 39.062 (36.962) Prec@5 66.406 (62.328) Epoch: [3][3280/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9858 (2.9708) Prec@1 33.594 (36.961) Prec@5 64.062 (62.325) Epoch: [3][3290/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.2879 (2.9710) Prec@1 31.250 (36.956) Prec@5 53.906 (62.320) Epoch: [3][3300/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9021 (2.9708) Prec@1 42.188 (36.964) Prec@5 62.500 (62.323) Epoch: [3][3310/10010] Time 0.330 (0.331) Data 0.003 (0.001) Loss 2.5289 (2.9704) Prec@1 39.844 (36.967) Prec@5 65.625 (62.331) Epoch: [3][3320/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.2973 (2.9705) Prec@1 33.594 (36.966) Prec@5 58.594 (62.325) Epoch: [3][3330/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0883 (2.9704) Prec@1 36.719 (36.969) Prec@5 57.031 (62.325) Epoch: [3][3340/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9383 (2.9704) Prec@1 38.281 (36.972) Prec@5 60.938 (62.323) Epoch: [3][3350/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.3120 (2.9705) Prec@1 30.469 (36.968) Prec@5 54.688 (62.319) Epoch: [3][3360/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7925 (2.9700) Prec@1 34.375 (36.973) Prec@5 61.719 (62.326) Epoch: [3][3370/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9032 (2.9701) Prec@1 37.500 (36.972) Prec@5 61.719 (62.326) Epoch: [3][3380/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.0113 (2.9697) Prec@1 37.500 (36.983) Prec@5 61.719 (62.332) Epoch: [3][3390/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8301 (2.9700) Prec@1 44.531 (36.983) Prec@5 63.281 (62.329) Epoch: [3][3400/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8859 (2.9702) Prec@1 40.625 (36.980) Prec@5 63.281 (62.325) Epoch: [3][3410/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.2488 (2.9701) Prec@1 36.719 (36.981) Prec@5 57.031 (62.331) Epoch: [3][3420/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9091 (2.9698) Prec@1 36.719 (36.985) Prec@5 62.500 (62.334) Epoch: [3][3430/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.1500 (2.9700) Prec@1 35.938 (36.987) Prec@5 58.594 (62.332) Epoch: [3][3440/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.3084 (2.9700) Prec@1 34.375 (36.988) Prec@5 59.375 (62.332) Epoch: [3][3450/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7244 (2.9702) Prec@1 39.062 (36.992) Prec@5 65.625 (62.330) Epoch: [3][3460/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 3.0340 (2.9705) Prec@1 38.281 (36.986) Prec@5 60.938 (62.326) Epoch: [3][3470/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0948 (2.9705) Prec@1 39.062 (36.986) Prec@5 65.625 (62.331) Epoch: [3][3480/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.1971 (2.9709) Prec@1 30.469 (36.976) Prec@5 61.719 (62.322) Epoch: [3][3490/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8320 (2.9707) Prec@1 42.188 (36.981) Prec@5 60.156 (62.325) Epoch: [3][3500/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.1538 (2.9706) Prec@1 37.500 (36.983) Prec@5 62.500 (62.330) Epoch: [3][3510/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 3.0103 (2.9708) Prec@1 35.938 (36.984) Prec@5 64.844 (62.327) Epoch: [3][3520/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.2034 (2.9711) Prec@1 34.375 (36.981) Prec@5 58.594 (62.327) Epoch: [3][3530/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.3535 (2.9710) Prec@1 27.344 (36.985) Prec@5 58.594 (62.331) Epoch: [3][3540/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9433 (2.9709) Prec@1 39.062 (36.984) Prec@5 62.500 (62.334) Epoch: [3][3550/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.8730 (2.9710) Prec@1 40.625 (36.984) Prec@5 67.188 (62.331) Epoch: [3][3560/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7299 (2.9708) Prec@1 37.500 (36.984) Prec@5 67.969 (62.332) Epoch: [3][3570/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9913 (2.9707) Prec@1 37.500 (36.988) Prec@5 64.062 (62.333) Epoch: [3][3580/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0125 (2.9705) Prec@1 32.031 (36.991) Prec@5 62.500 (62.333) Epoch: [3][3590/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9933 (2.9707) Prec@1 39.062 (36.992) Prec@5 63.281 (62.329) Epoch: [3][3600/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.1171 (2.9706) Prec@1 34.375 (36.996) Prec@5 59.375 (62.330) Epoch: [3][3610/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.1410 (2.9703) Prec@1 36.719 (36.997) Prec@5 59.375 (62.335) Epoch: [3][3620/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8788 (2.9703) Prec@1 35.938 (36.994) Prec@5 65.625 (62.333) Epoch: [3][3630/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8475 (2.9702) Prec@1 41.406 (36.993) Prec@5 61.719 (62.334) Epoch: [3][3640/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9797 (2.9701) Prec@1 39.062 (36.995) Prec@5 60.156 (62.340) Epoch: [3][3650/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8492 (2.9703) Prec@1 40.625 (36.999) Prec@5 64.062 (62.338) Epoch: [3][3660/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8134 (2.9702) Prec@1 39.062 (37.000) Prec@5 63.281 (62.341) Epoch: [3][3670/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.7118 (2.9697) Prec@1 39.062 (37.007) Prec@5 68.750 (62.348) Epoch: [3][3680/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8171 (2.9697) Prec@1 42.969 (37.010) Prec@5 67.188 (62.351) Epoch: [3][3690/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.9342 (2.9696) Prec@1 41.406 (37.010) Prec@5 62.500 (62.354) Epoch: [3][3700/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0671 (2.9697) Prec@1 31.250 (37.007) Prec@5 57.031 (62.354) Epoch: [3][3710/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0626 (2.9700) Prec@1 33.594 (37.005) Prec@5 60.156 (62.350) Epoch: [3][3720/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.1626 (2.9697) Prec@1 35.156 (37.011) Prec@5 58.594 (62.356) Epoch: [3][3730/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.1077 (2.9699) Prec@1 33.594 (37.010) Prec@5 58.594 (62.354) Epoch: [3][3740/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9591 (2.9701) Prec@1 35.156 (37.009) Prec@5 58.594 (62.348) Epoch: [3][3750/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0796 (2.9700) Prec@1 33.594 (37.010) Prec@5 60.938 (62.351) Epoch: [3][3760/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0214 (2.9701) Prec@1 36.719 (37.009) Prec@5 60.938 (62.354) Epoch: [3][3770/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1689 (2.9702) Prec@1 35.156 (37.010) Prec@5 60.156 (62.351) Epoch: [3][3780/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9874 (2.9703) Prec@1 35.156 (37.014) Prec@5 63.281 (62.349) Epoch: [3][3790/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9800 (2.9706) Prec@1 38.281 (37.012) Prec@5 58.594 (62.344) Epoch: [3][3800/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0548 (2.9706) Prec@1 34.375 (37.013) Prec@5 56.250 (62.342) Epoch: [3][3810/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6917 (2.9705) Prec@1 39.844 (37.015) Prec@5 67.969 (62.345) Epoch: [3][3820/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.1055 (2.9703) Prec@1 32.031 (37.018) Prec@5 64.062 (62.349) Epoch: [3][3830/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.6334 (2.9700) Prec@1 47.656 (37.022) Prec@5 70.312 (62.355) Epoch: [3][3840/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8936 (2.9698) Prec@1 39.844 (37.029) Prec@5 60.156 (62.356) Epoch: [3][3850/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6472 (2.9697) Prec@1 36.719 (37.025) Prec@5 69.531 (62.358) Epoch: [3][3860/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0891 (2.9696) Prec@1 35.156 (37.028) Prec@5 57.812 (62.360) Epoch: [3][3870/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8195 (2.9697) Prec@1 38.281 (37.028) Prec@5 66.406 (62.363) Epoch: [3][3880/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0690 (2.9698) Prec@1 35.938 (37.023) Prec@5 60.938 (62.362) Epoch: [3][3890/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.2831 (2.9699) Prec@1 37.500 (37.020) Prec@5 58.594 (62.361) Epoch: [3][3900/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8116 (2.9699) Prec@1 37.500 (37.020) Prec@5 65.625 (62.366) Epoch: [3][3910/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9757 (2.9698) Prec@1 38.281 (37.025) Prec@5 60.156 (62.364) Epoch: [3][3920/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9201 (2.9698) Prec@1 34.375 (37.023) Prec@5 62.500 (62.366) Epoch: [3][3930/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.4232 (2.9697) Prec@1 29.688 (37.021) Prec@5 57.031 (62.368) Epoch: [3][3940/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.4950 (2.9697) Prec@1 24.219 (37.013) Prec@5 49.219 (62.364) Epoch: [3][3950/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.2568 (2.9698) Prec@1 35.156 (37.014) Prec@5 56.250 (62.359) Epoch: [3][3960/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6887 (2.9698) Prec@1 42.188 (37.020) Prec@5 67.188 (62.360) Epoch: [3][3970/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.1242 (2.9696) Prec@1 36.719 (37.021) Prec@5 61.719 (62.362) Epoch: [3][3980/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8155 (2.9694) Prec@1 38.281 (37.020) Prec@5 67.188 (62.365) Epoch: [3][3990/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5948 (2.9692) Prec@1 43.750 (37.020) Prec@5 72.656 (62.367) Epoch: [3][4000/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7041 (2.9692) Prec@1 45.312 (37.025) Prec@5 65.625 (62.367) Epoch: [3][4010/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.8357 (2.9692) Prec@1 43.750 (37.027) Prec@5 67.188 (62.367) Epoch: [3][4020/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.9151 (2.9695) Prec@1 32.031 (37.019) Prec@5 64.844 (62.366) Epoch: [3][4030/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9128 (2.9694) Prec@1 35.156 (37.022) Prec@5 68.750 (62.369) Epoch: [3][4040/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8753 (2.9691) Prec@1 42.188 (37.027) Prec@5 65.625 (62.375) Epoch: [3][4050/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.2050 (2.9691) Prec@1 31.250 (37.026) Prec@5 60.156 (62.376) Epoch: [3][4060/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.2937 (2.9689) Prec@1 28.906 (37.026) Prec@5 55.469 (62.376) Epoch: [3][4070/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5237 (2.9688) Prec@1 47.656 (37.033) Prec@5 70.312 (62.378) Epoch: [3][4080/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8250 (2.9689) Prec@1 35.938 (37.030) Prec@5 66.406 (62.376) Epoch: [3][4090/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.0447 (2.9686) Prec@1 34.375 (37.038) Prec@5 55.469 (62.378) Epoch: [3][4100/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.3972 (2.9684) Prec@1 49.219 (37.040) Prec@5 68.750 (62.378) Epoch: [3][4110/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8917 (2.9682) Prec@1 37.500 (37.041) Prec@5 61.719 (62.378) Epoch: [3][4120/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9727 (2.9680) Prec@1 37.500 (37.046) Prec@5 60.938 (62.384) Epoch: [3][4130/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8082 (2.9678) Prec@1 39.844 (37.048) Prec@5 69.531 (62.387) Epoch: [3][4140/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0908 (2.9677) Prec@1 37.500 (37.053) Prec@5 60.156 (62.389) Epoch: [3][4150/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8256 (2.9678) Prec@1 38.281 (37.051) Prec@5 64.062 (62.391) Epoch: [3][4160/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8360 (2.9677) Prec@1 43.750 (37.055) Prec@5 65.625 (62.389) Epoch: [3][4170/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6512 (2.9677) Prec@1 42.188 (37.054) Prec@5 68.750 (62.388) Epoch: [3][4180/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.2586 (2.9678) Prec@1 32.812 (37.052) Prec@5 54.688 (62.386) Epoch: [3][4190/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.0126 (2.9677) Prec@1 35.156 (37.054) Prec@5 65.625 (62.387) Epoch: [3][4200/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6755 (2.9675) Prec@1 41.406 (37.057) Prec@5 69.531 (62.392) Epoch: [3][4210/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7982 (2.9673) Prec@1 35.938 (37.060) Prec@5 64.844 (62.398) Epoch: [3][4220/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.8575 (2.9671) Prec@1 36.719 (37.062) Prec@5 64.844 (62.397) Epoch: [3][4230/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9172 (2.9672) Prec@1 32.812 (37.062) Prec@5 63.281 (62.396) Epoch: [3][4240/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8434 (2.9671) Prec@1 40.625 (37.062) Prec@5 66.406 (62.398) Epoch: [3][4250/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.1421 (2.9670) Prec@1 33.594 (37.061) Prec@5 57.812 (62.401) Epoch: [3][4260/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9682 (2.9670) Prec@1 35.156 (37.060) Prec@5 63.281 (62.402) Epoch: [3][4270/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6318 (2.9673) Prec@1 39.844 (37.057) Prec@5 68.750 (62.395) Epoch: [3][4280/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.2065 (2.9674) Prec@1 31.250 (37.057) Prec@5 61.719 (62.396) Epoch: [3][4290/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9446 (2.9674) Prec@1 39.062 (37.056) Prec@5 67.188 (62.396) Epoch: [3][4300/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8455 (2.9674) Prec@1 39.062 (37.055) Prec@5 63.281 (62.395) Epoch: [3][4310/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8044 (2.9674) Prec@1 36.719 (37.056) Prec@5 66.406 (62.397) Epoch: [3][4320/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1861 (2.9673) Prec@1 37.500 (37.056) Prec@5 57.031 (62.396) Epoch: [3][4330/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8960 (2.9673) Prec@1 35.938 (37.056) Prec@5 61.719 (62.397) Epoch: [3][4340/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.1611 (2.9674) Prec@1 30.469 (37.053) Prec@5 60.156 (62.395) Epoch: [3][4350/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8343 (2.9674) Prec@1 42.188 (37.058) Prec@5 62.500 (62.395) Epoch: [3][4360/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.1939 (2.9675) Prec@1 29.688 (37.056) Prec@5 60.156 (62.395) Epoch: [3][4370/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.2372 (2.9676) Prec@1 33.594 (37.053) Prec@5 52.344 (62.392) Epoch: [3][4380/10010] Time 0.309 (0.331) Data 0.002 (0.001) Loss 2.9905 (2.9671) Prec@1 34.375 (37.060) Prec@5 57.812 (62.398) Epoch: [3][4390/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6646 (2.9671) Prec@1 43.750 (37.063) Prec@5 69.531 (62.401) Epoch: [3][4400/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 3.1207 (2.9671) Prec@1 37.500 (37.062) Prec@5 60.938 (62.399) Epoch: [3][4410/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7844 (2.9674) Prec@1 39.844 (37.056) Prec@5 64.844 (62.393) Epoch: [3][4420/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.1089 (2.9675) Prec@1 33.594 (37.058) Prec@5 62.500 (62.392) Epoch: [3][4430/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7655 (2.9674) Prec@1 42.969 (37.062) Prec@5 64.062 (62.394) Epoch: [3][4440/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.2706 (2.9675) Prec@1 32.812 (37.060) Prec@5 59.375 (62.393) Epoch: [3][4450/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.1079 (2.9673) Prec@1 29.688 (37.060) Prec@5 56.250 (62.393) Epoch: [3][4460/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8187 (2.9673) Prec@1 43.750 (37.062) Prec@5 63.281 (62.390) Epoch: [3][4470/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9556 (2.9674) Prec@1 36.719 (37.061) Prec@5 62.500 (62.386) Epoch: [3][4480/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7838 (2.9674) Prec@1 41.406 (37.063) Prec@5 64.844 (62.387) Epoch: [3][4490/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8582 (2.9674) Prec@1 42.188 (37.062) Prec@5 62.500 (62.387) Epoch: [3][4500/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.2722 (2.9674) Prec@1 39.062 (37.063) Prec@5 56.250 (62.386) Epoch: [3][4510/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0664 (2.9674) Prec@1 34.375 (37.059) Prec@5 59.375 (62.386) Epoch: [3][4520/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7084 (2.9675) Prec@1 44.531 (37.057) Prec@5 67.969 (62.385) Epoch: [3][4530/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7465 (2.9673) Prec@1 43.750 (37.057) Prec@5 70.312 (62.389) Epoch: [3][4540/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8044 (2.9672) Prec@1 39.062 (37.058) Prec@5 65.625 (62.392) Epoch: [3][4550/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.1744 (2.9672) Prec@1 33.594 (37.055) Prec@5 57.812 (62.390) Epoch: [3][4560/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0768 (2.9674) Prec@1 35.938 (37.054) Prec@5 57.812 (62.387) Epoch: [3][4570/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.1665 (2.9671) Prec@1 34.375 (37.061) Prec@5 58.594 (62.392) Epoch: [3][4580/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7069 (2.9669) Prec@1 41.406 (37.062) Prec@5 67.969 (62.394) Epoch: [3][4590/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7692 (2.9666) Prec@1 42.188 (37.065) Prec@5 67.969 (62.401) Epoch: [3][4600/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.1222 (2.9667) Prec@1 29.688 (37.063) Prec@5 60.156 (62.402) Epoch: [3][4610/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0231 (2.9666) Prec@1 36.719 (37.064) Prec@5 58.594 (62.403) Epoch: [3][4620/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9958 (2.9666) Prec@1 36.719 (37.064) Prec@5 64.062 (62.404) Epoch: [3][4630/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8135 (2.9666) Prec@1 43.750 (37.065) Prec@5 64.062 (62.402) Epoch: [3][4640/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8720 (2.9664) Prec@1 39.062 (37.068) Prec@5 64.062 (62.406) Epoch: [3][4650/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9504 (2.9664) Prec@1 29.688 (37.067) Prec@5 63.281 (62.408) Epoch: [3][4660/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.8523 (2.9665) Prec@1 33.594 (37.061) Prec@5 67.188 (62.409) Epoch: [3][4670/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8882 (2.9664) Prec@1 40.625 (37.063) Prec@5 64.062 (62.409) Epoch: [3][4680/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0566 (2.9664) Prec@1 35.156 (37.060) Prec@5 57.812 (62.408) Epoch: [3][4690/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7429 (2.9666) Prec@1 42.969 (37.058) Prec@5 60.156 (62.406) Epoch: [3][4700/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.2347 (2.9663) Prec@1 28.125 (37.061) Prec@5 53.125 (62.412) Epoch: [3][4710/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8637 (2.9662) Prec@1 39.844 (37.065) Prec@5 57.812 (62.409) Epoch: [3][4720/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.4898 (2.9660) Prec@1 41.406 (37.065) Prec@5 72.656 (62.415) Epoch: [3][4730/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9941 (2.9658) Prec@1 35.156 (37.067) Prec@5 61.719 (62.417) Epoch: [3][4740/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3646 (2.9657) Prec@1 50.000 (37.071) Prec@5 73.438 (62.419) Epoch: [3][4750/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.1211 (2.9657) Prec@1 32.031 (37.072) Prec@5 60.156 (62.420) Epoch: [3][4760/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.7499 (2.9654) Prec@1 44.531 (37.074) Prec@5 64.844 (62.424) Epoch: [3][4770/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.9014 (2.9652) Prec@1 45.312 (37.080) Prec@5 61.719 (62.428) Epoch: [3][4780/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 3.2156 (2.9654) Prec@1 32.031 (37.075) Prec@5 57.031 (62.425) Epoch: [3][4790/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 3.1279 (2.9655) Prec@1 35.156 (37.072) Prec@5 61.719 (62.424) Epoch: [3][4800/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.8136 (2.9655) Prec@1 39.844 (37.068) Prec@5 58.594 (62.422) Epoch: [3][4810/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.8807 (2.9656) Prec@1 32.031 (37.067) Prec@5 64.844 (62.424) Epoch: [3][4820/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 3.1358 (2.9654) Prec@1 29.688 (37.067) Prec@5 54.688 (62.424) Epoch: [3][4830/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 2.9761 (2.9654) Prec@1 37.500 (37.068) Prec@5 68.750 (62.425) Epoch: [3][4840/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0729 (2.9654) Prec@1 37.500 (37.070) Prec@5 60.938 (62.424) Epoch: [3][4850/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0765 (2.9653) Prec@1 41.406 (37.075) Prec@5 61.719 (62.424) Epoch: [3][4860/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.1205 (2.9653) Prec@1 32.031 (37.072) Prec@5 59.375 (62.425) Epoch: [3][4870/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9759 (2.9654) Prec@1 40.625 (37.073) Prec@5 66.406 (62.424) Epoch: [3][4880/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7426 (2.9651) Prec@1 39.062 (37.077) Prec@5 69.531 (62.425) Epoch: [3][4890/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.1113 (2.9651) Prec@1 39.062 (37.078) Prec@5 58.594 (62.426) Epoch: [3][4900/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8037 (2.9649) Prec@1 34.375 (37.079) Prec@5 64.844 (62.430) Epoch: [3][4910/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7306 (2.9647) Prec@1 40.625 (37.085) Prec@5 67.969 (62.435) Epoch: [3][4920/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6939 (2.9646) Prec@1 44.531 (37.089) Prec@5 64.062 (62.438) Epoch: [3][4930/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9985 (2.9647) Prec@1 35.156 (37.086) Prec@5 64.062 (62.438) Epoch: [3][4940/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5634 (2.9646) Prec@1 42.188 (37.087) Prec@5 68.750 (62.440) Epoch: [3][4950/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9204 (2.9647) Prec@1 38.281 (37.085) Prec@5 63.281 (62.439) Epoch: [3][4960/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8192 (2.9646) Prec@1 38.281 (37.088) Prec@5 66.406 (62.439) Epoch: [3][4970/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8381 (2.9646) Prec@1 35.938 (37.086) Prec@5 67.969 (62.442) Epoch: [3][4980/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7623 (2.9646) Prec@1 42.188 (37.085) Prec@5 61.719 (62.443) Epoch: [3][4990/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.2186 (2.9643) Prec@1 33.594 (37.091) Prec@5 57.031 (62.449) Epoch: [3][5000/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6850 (2.9640) Prec@1 42.969 (37.097) Prec@5 67.188 (62.454) Epoch: [3][5010/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9030 (2.9640) Prec@1 37.500 (37.096) Prec@5 61.719 (62.453) Epoch: [3][5020/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0838 (2.9639) Prec@1 35.938 (37.099) Prec@5 57.812 (62.457) Epoch: [3][5030/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.4064 (2.9638) Prec@1 32.031 (37.101) Prec@5 54.688 (62.460) Epoch: [3][5040/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.2491 (2.9639) Prec@1 32.031 (37.100) Prec@5 54.688 (62.459) Epoch: [3][5050/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7455 (2.9637) Prec@1 39.844 (37.100) Prec@5 66.406 (62.461) Epoch: [3][5060/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8683 (2.9636) Prec@1 39.062 (37.103) Prec@5 56.250 (62.461) Epoch: [3][5070/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.2468 (2.9635) Prec@1 32.031 (37.102) Prec@5 60.156 (62.463) Epoch: [3][5080/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0341 (2.9635) Prec@1 40.625 (37.106) Prec@5 64.844 (62.466) Epoch: [3][5090/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1165 (2.9635) Prec@1 32.812 (37.102) Prec@5 63.281 (62.467) Epoch: [3][5100/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.0770 (2.9634) Prec@1 30.469 (37.103) Prec@5 62.500 (62.470) Epoch: [3][5110/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.3021 (2.9633) Prec@1 38.281 (37.106) Prec@5 53.906 (62.473) Epoch: [3][5120/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7893 (2.9634) Prec@1 39.844 (37.104) Prec@5 60.156 (62.470) Epoch: [3][5130/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1305 (2.9636) Prec@1 28.906 (37.098) Prec@5 56.250 (62.467) Epoch: [3][5140/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7204 (2.9635) Prec@1 39.062 (37.098) Prec@5 68.750 (62.471) Epoch: [3][5150/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1297 (2.9634) Prec@1 33.594 (37.098) Prec@5 58.594 (62.469) Epoch: [3][5160/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9226 (2.9635) Prec@1 38.281 (37.095) Prec@5 61.719 (62.466) Epoch: [3][5170/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0563 (2.9636) Prec@1 35.156 (37.097) Prec@5 63.281 (62.468) Epoch: [3][5180/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9034 (2.9636) Prec@1 38.281 (37.097) Prec@5 67.188 (62.469) Epoch: [3][5190/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9082 (2.9636) Prec@1 42.188 (37.099) Prec@5 65.625 (62.471) Epoch: [3][5200/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8060 (2.9637) Prec@1 39.062 (37.098) Prec@5 62.500 (62.468) Epoch: [3][5210/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7092 (2.9637) Prec@1 39.062 (37.097) Prec@5 62.500 (62.469) Epoch: [3][5220/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0807 (2.9639) Prec@1 36.719 (37.096) Prec@5 58.594 (62.466) Epoch: [3][5230/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8971 (2.9638) Prec@1 37.500 (37.098) Prec@5 60.156 (62.467) Epoch: [3][5240/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5959 (2.9637) Prec@1 38.281 (37.101) Prec@5 67.188 (62.467) Epoch: [3][5250/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9403 (2.9638) Prec@1 34.375 (37.098) Prec@5 61.719 (62.465) Epoch: [3][5260/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0947 (2.9637) Prec@1 34.375 (37.097) Prec@5 58.594 (62.467) Epoch: [3][5270/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.1164 (2.9639) Prec@1 31.250 (37.096) Prec@5 57.812 (62.464) Epoch: [3][5280/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0428 (2.9638) Prec@1 36.719 (37.097) Prec@5 63.281 (62.468) Epoch: [3][5290/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7528 (2.9636) Prec@1 34.375 (37.100) Prec@5 67.969 (62.471) Epoch: [3][5300/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.4669 (2.9635) Prec@1 31.250 (37.101) Prec@5 53.125 (62.473) Epoch: [3][5310/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7808 (2.9634) Prec@1 40.625 (37.103) Prec@5 66.406 (62.476) Epoch: [3][5320/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9694 (2.9633) Prec@1 39.062 (37.107) Prec@5 66.406 (62.478) Epoch: [3][5330/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8348 (2.9634) Prec@1 39.062 (37.104) Prec@5 59.375 (62.474) Epoch: [3][5340/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8437 (2.9635) Prec@1 36.719 (37.101) Prec@5 63.281 (62.470) Epoch: [3][5350/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0953 (2.9636) Prec@1 32.812 (37.100) Prec@5 60.938 (62.470) Epoch: [3][5360/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 3.2933 (2.9636) Prec@1 30.469 (37.098) Prec@5 60.156 (62.469) Epoch: [3][5370/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7725 (2.9636) Prec@1 43.750 (37.100) Prec@5 67.188 (62.471) Epoch: [3][5380/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.1698 (2.9637) Prec@1 38.281 (37.100) Prec@5 59.375 (62.470) Epoch: [3][5390/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7060 (2.9638) Prec@1 41.406 (37.099) Prec@5 71.094 (62.470) Epoch: [3][5400/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0570 (2.9638) Prec@1 36.719 (37.097) Prec@5 60.938 (62.470) Epoch: [3][5410/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.0641 (2.9635) Prec@1 37.500 (37.103) Prec@5 64.062 (62.477) Epoch: [3][5420/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9068 (2.9635) Prec@1 35.156 (37.102) Prec@5 64.062 (62.478) Epoch: [3][5430/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8495 (2.9634) Prec@1 40.625 (37.105) Prec@5 63.281 (62.478) Epoch: [3][5440/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6789 (2.9632) Prec@1 41.406 (37.109) Prec@5 66.406 (62.479) Epoch: [3][5450/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4559 (2.9630) Prec@1 43.750 (37.110) Prec@5 73.438 (62.481) Epoch: [3][5460/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6098 (2.9628) Prec@1 38.281 (37.111) Prec@5 73.438 (62.485) Epoch: [3][5470/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5659 (2.9626) Prec@1 47.656 (37.114) Prec@5 67.188 (62.487) Epoch: [3][5480/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8810 (2.9627) Prec@1 42.969 (37.117) Prec@5 63.281 (62.486) Epoch: [3][5490/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5595 (2.9626) Prec@1 39.844 (37.120) Prec@5 68.750 (62.486) Epoch: [3][5500/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8653 (2.9627) Prec@1 35.938 (37.118) Prec@5 64.844 (62.487) Epoch: [3][5510/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 3.2460 (2.9627) Prec@1 28.125 (37.117) Prec@5 58.594 (62.488) Epoch: [3][5520/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8086 (2.9625) Prec@1 38.281 (37.120) Prec@5 63.281 (62.491) Epoch: [3][5530/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9095 (2.9626) Prec@1 38.281 (37.118) Prec@5 64.062 (62.487) Epoch: [3][5540/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7643 (2.9625) Prec@1 38.281 (37.118) Prec@5 68.750 (62.489) Epoch: [3][5550/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6645 (2.9625) Prec@1 39.844 (37.116) Prec@5 59.375 (62.486) Epoch: [3][5560/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.0074 (2.9625) Prec@1 38.281 (37.117) Prec@5 60.156 (62.484) Epoch: [3][5570/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9193 (2.9625) Prec@1 39.062 (37.118) Prec@5 61.719 (62.484) Epoch: [3][5580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9898 (2.9624) Prec@1 33.594 (37.118) Prec@5 64.062 (62.486) Epoch: [3][5590/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0381 (2.9625) Prec@1 39.062 (37.116) Prec@5 64.062 (62.486) Epoch: [3][5600/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8979 (2.9624) Prec@1 35.938 (37.116) Prec@5 64.844 (62.488) Epoch: [3][5610/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8764 (2.9626) Prec@1 38.281 (37.111) Prec@5 62.500 (62.486) Epoch: [3][5620/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9259 (2.9625) Prec@1 40.625 (37.111) Prec@5 65.625 (62.487) Epoch: [3][5630/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4656 (2.9622) Prec@1 43.750 (37.115) Prec@5 72.656 (62.492) Epoch: [3][5640/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8795 (2.9621) Prec@1 38.281 (37.116) Prec@5 63.281 (62.494) Epoch: [3][5650/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.1133 (2.9619) Prec@1 34.375 (37.118) Prec@5 60.156 (62.500) Epoch: [3][5660/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 3.2564 (2.9619) Prec@1 34.375 (37.118) Prec@5 57.031 (62.501) Epoch: [3][5670/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7179 (2.9619) Prec@1 42.188 (37.118) Prec@5 67.188 (62.502) Epoch: [3][5680/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9482 (2.9618) Prec@1 33.594 (37.118) Prec@5 67.969 (62.504) Epoch: [3][5690/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9772 (2.9617) Prec@1 32.812 (37.120) Prec@5 60.938 (62.506) Epoch: [3][5700/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8079 (2.9616) Prec@1 30.469 (37.120) Prec@5 64.062 (62.509) Epoch: [3][5710/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6652 (2.9616) Prec@1 44.531 (37.122) Prec@5 73.438 (62.509) Epoch: [3][5720/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5204 (2.9613) Prec@1 46.094 (37.129) Prec@5 71.094 (62.516) Epoch: [3][5730/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9979 (2.9613) Prec@1 36.719 (37.131) Prec@5 61.719 (62.516) Epoch: [3][5740/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.1042 (2.9612) Prec@1 42.969 (37.134) Prec@5 63.281 (62.519) Epoch: [3][5750/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6402 (2.9612) Prec@1 44.531 (37.134) Prec@5 67.969 (62.517) Epoch: [3][5760/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.1216 (2.9611) Prec@1 30.469 (37.135) Prec@5 59.375 (62.519) Epoch: [3][5770/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7741 (2.9610) Prec@1 40.625 (37.134) Prec@5 67.969 (62.519) Epoch: [3][5780/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9739 (2.9612) Prec@1 41.406 (37.133) Prec@5 64.062 (62.517) Epoch: [3][5790/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.2833 (2.9613) Prec@1 32.031 (37.133) Prec@5 58.594 (62.515) Epoch: [3][5800/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.6980 (2.9612) Prec@1 44.531 (37.134) Prec@5 67.188 (62.520) Epoch: [3][5810/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9292 (2.9612) Prec@1 35.938 (37.136) Prec@5 63.281 (62.522) Epoch: [3][5820/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8412 (2.9612) Prec@1 39.062 (37.136) Prec@5 58.594 (62.521) Epoch: [3][5830/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8850 (2.9610) Prec@1 35.156 (37.139) Prec@5 64.062 (62.525) Epoch: [3][5840/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.9458 (2.9610) Prec@1 31.250 (37.137) Prec@5 60.938 (62.526) Epoch: [3][5850/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8805 (2.9611) Prec@1 40.625 (37.137) Prec@5 64.062 (62.523) Epoch: [3][5860/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6627 (2.9610) Prec@1 40.625 (37.138) Prec@5 68.750 (62.523) Epoch: [3][5870/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.8582 (2.9609) Prec@1 36.719 (37.138) Prec@5 66.406 (62.523) Epoch: [3][5880/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.3977 (2.9609) Prec@1 25.000 (37.135) Prec@5 55.469 (62.522) Epoch: [3][5890/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9782 (2.9609) Prec@1 37.500 (37.134) Prec@5 65.625 (62.522) Epoch: [3][5900/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.2118 (2.9611) Prec@1 40.625 (37.134) Prec@5 56.250 (62.521) Epoch: [3][5910/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9889 (2.9610) Prec@1 34.375 (37.135) Prec@5 59.375 (62.523) Epoch: [3][5920/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.0172 (2.9611) Prec@1 34.375 (37.133) Prec@5 63.281 (62.523) Epoch: [3][5930/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8694 (2.9610) Prec@1 37.500 (37.134) Prec@5 66.406 (62.525) Epoch: [3][5940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1510 (2.9611) Prec@1 35.938 (37.132) Prec@5 63.281 (62.526) Epoch: [3][5950/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0101 (2.9612) Prec@1 36.719 (37.129) Prec@5 60.156 (62.525) Epoch: [3][5960/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.1773 (2.9612) Prec@1 36.719 (37.127) Prec@5 58.594 (62.526) Epoch: [3][5970/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0232 (2.9612) Prec@1 34.375 (37.126) Prec@5 57.812 (62.526) Epoch: [3][5980/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0665 (2.9612) Prec@1 35.938 (37.123) Prec@5 62.500 (62.524) Epoch: [3][5990/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4357 (2.9610) Prec@1 47.656 (37.125) Prec@5 69.531 (62.527) Epoch: [3][6000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8625 (2.9613) Prec@1 35.156 (37.120) Prec@5 64.062 (62.524) Epoch: [3][6010/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9237 (2.9612) Prec@1 33.594 (37.120) Prec@5 63.281 (62.525) Epoch: [3][6020/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7227 (2.9610) Prec@1 33.594 (37.123) Prec@5 68.750 (62.529) Epoch: [3][6030/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.1152 (2.9608) Prec@1 35.938 (37.126) Prec@5 58.594 (62.533) Epoch: [3][6040/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1818 (2.9606) Prec@1 28.906 (37.130) Prec@5 60.156 (62.537) Epoch: [3][6050/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.0616 (2.9605) Prec@1 34.375 (37.134) Prec@5 56.250 (62.539) Epoch: [3][6060/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.0902 (2.9604) Prec@1 37.500 (37.134) Prec@5 60.938 (62.540) Epoch: [3][6070/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8772 (2.9603) Prec@1 42.969 (37.137) Prec@5 64.062 (62.541) Epoch: [3][6080/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1742 (2.9603) Prec@1 39.844 (37.139) Prec@5 62.500 (62.544) Epoch: [3][6090/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7198 (2.9602) Prec@1 44.531 (37.140) Prec@5 67.188 (62.546) Epoch: [3][6100/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8684 (2.9601) Prec@1 37.500 (37.142) Prec@5 63.281 (62.547) Epoch: [3][6110/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.1223 (2.9602) Prec@1 30.469 (37.143) Prec@5 57.812 (62.546) Epoch: [3][6120/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8864 (2.9601) Prec@1 44.531 (37.146) Prec@5 66.406 (62.548) Epoch: [3][6130/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7622 (2.9600) Prec@1 42.188 (37.145) Prec@5 64.062 (62.547) Epoch: [3][6140/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.1829 (2.9600) Prec@1 32.031 (37.145) Prec@5 60.156 (62.547) Epoch: [3][6150/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8656 (2.9599) Prec@1 41.406 (37.147) Prec@5 67.188 (62.550) Epoch: [3][6160/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9291 (2.9598) Prec@1 37.500 (37.149) Prec@5 66.406 (62.551) Epoch: [3][6170/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9852 (2.9597) Prec@1 35.938 (37.150) Prec@5 59.375 (62.552) Epoch: [3][6180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5253 (2.9596) Prec@1 45.312 (37.155) Prec@5 69.531 (62.554) Epoch: [3][6190/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9607 (2.9595) Prec@1 33.594 (37.155) Prec@5 64.062 (62.555) Epoch: [3][6200/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.2453 (2.9596) Prec@1 38.281 (37.152) Prec@5 53.125 (62.551) Epoch: [3][6210/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8748 (2.9594) Prec@1 47.656 (37.154) Prec@5 64.844 (62.554) Epoch: [3][6220/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0959 (2.9594) Prec@1 35.938 (37.157) Prec@5 60.156 (62.554) Epoch: [3][6230/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0214 (2.9595) Prec@1 35.938 (37.155) Prec@5 61.719 (62.552) Epoch: [3][6240/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6508 (2.9594) Prec@1 41.406 (37.157) Prec@5 71.875 (62.556) Epoch: [3][6250/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1337 (2.9593) Prec@1 33.594 (37.160) Prec@5 57.031 (62.557) Epoch: [3][6260/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5718 (2.9593) Prec@1 49.219 (37.160) Prec@5 73.438 (62.559) Epoch: [3][6270/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.1437 (2.9592) Prec@1 32.812 (37.162) Prec@5 58.594 (62.560) Epoch: [3][6280/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.7878 (2.9592) Prec@1 39.062 (37.164) Prec@5 69.531 (62.561) Epoch: [3][6290/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9162 (2.9591) Prec@1 45.312 (37.166) Prec@5 62.500 (62.561) Epoch: [3][6300/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.1014 (2.9592) Prec@1 39.062 (37.165) Prec@5 59.375 (62.559) Epoch: [3][6310/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8342 (2.9593) Prec@1 34.375 (37.163) Prec@5 62.500 (62.558) Epoch: [3][6320/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8664 (2.9592) Prec@1 40.625 (37.161) Prec@5 67.969 (62.559) Epoch: [3][6330/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0002 (2.9592) Prec@1 32.031 (37.162) Prec@5 57.812 (62.560) Epoch: [3][6340/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7949 (2.9592) Prec@1 35.938 (37.164) Prec@5 64.062 (62.559) Epoch: [3][6350/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6841 (2.9591) Prec@1 42.969 (37.166) Prec@5 67.969 (62.559) Epoch: [3][6360/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7559 (2.9588) Prec@1 42.188 (37.169) Prec@5 64.844 (62.563) Epoch: [3][6370/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.1256 (2.9588) Prec@1 35.938 (37.168) Prec@5 60.156 (62.562) Epoch: [3][6380/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.1346 (2.9586) Prec@1 30.469 (37.170) Prec@5 57.031 (62.566) Epoch: [3][6390/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5457 (2.9584) Prec@1 50.781 (37.173) Prec@5 67.969 (62.569) Epoch: [3][6400/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7484 (2.9581) Prec@1 32.031 (37.177) Prec@5 65.625 (62.575) Epoch: [3][6410/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.2068 (2.9581) Prec@1 33.594 (37.179) Prec@5 58.594 (62.575) Epoch: [3][6420/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.4662 (2.9582) Prec@1 32.031 (37.179) Prec@5 56.250 (62.573) Epoch: [3][6430/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8591 (2.9583) Prec@1 39.062 (37.175) Prec@5 64.844 (62.569) Epoch: [3][6440/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 3.4316 (2.9583) Prec@1 28.906 (37.176) Prec@5 53.125 (62.568) Epoch: [3][6450/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.3182 (2.9582) Prec@1 35.938 (37.179) Prec@5 56.250 (62.571) Epoch: [3][6460/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.1793 (2.9583) Prec@1 32.812 (37.178) Prec@5 57.031 (62.569) Epoch: [3][6470/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.2223 (2.9583) Prec@1 35.156 (37.178) Prec@5 61.719 (62.569) Epoch: [3][6480/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8579 (2.9582) Prec@1 38.281 (37.179) Prec@5 62.500 (62.570) Epoch: [3][6490/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9687 (2.9579) Prec@1 39.844 (37.184) Prec@5 59.375 (62.576) Epoch: [3][6500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1539 (2.9580) Prec@1 37.500 (37.184) Prec@5 57.031 (62.578) Epoch: [3][6510/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.4411 (2.9578) Prec@1 40.625 (37.185) Prec@5 68.750 (62.583) Epoch: [3][6520/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5742 (2.9576) Prec@1 48.438 (37.192) Prec@5 71.875 (62.589) Epoch: [3][6530/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7767 (2.9576) Prec@1 37.500 (37.193) Prec@5 63.281 (62.591) Epoch: [3][6540/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.3569 (2.9576) Prec@1 35.156 (37.194) Prec@5 55.469 (62.591) Epoch: [3][6550/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9047 (2.9576) Prec@1 39.062 (37.195) Prec@5 59.375 (62.590) Epoch: [3][6560/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0049 (2.9577) Prec@1 33.594 (37.191) Prec@5 63.281 (62.589) Epoch: [3][6570/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.1232 (2.9577) Prec@1 34.375 (37.193) Prec@5 60.156 (62.588) Epoch: [3][6580/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9460 (2.9578) Prec@1 38.281 (37.192) Prec@5 62.500 (62.587) Epoch: [3][6590/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0246 (2.9578) Prec@1 38.281 (37.194) Prec@5 61.719 (62.588) Epoch: [3][6600/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0625 (2.9578) Prec@1 35.938 (37.192) Prec@5 58.594 (62.588) Epoch: [3][6610/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6571 (2.9577) Prec@1 42.969 (37.196) Prec@5 70.312 (62.589) Epoch: [3][6620/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.1175 (2.9575) Prec@1 31.250 (37.199) Prec@5 62.500 (62.594) Epoch: [3][6630/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7848 (2.9575) Prec@1 37.500 (37.201) Prec@5 64.062 (62.593) Epoch: [3][6640/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.2775 (2.9575) Prec@1 31.250 (37.200) Prec@5 58.594 (62.592) Epoch: [3][6650/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0762 (2.9575) Prec@1 40.625 (37.202) Prec@5 57.812 (62.593) Epoch: [3][6660/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9837 (2.9576) Prec@1 39.062 (37.198) Prec@5 60.156 (62.588) Epoch: [3][6670/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.1481 (2.9576) Prec@1 35.938 (37.198) Prec@5 60.156 (62.587) Epoch: [3][6680/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8321 (2.9576) Prec@1 39.062 (37.198) Prec@5 60.938 (62.586) Epoch: [3][6690/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6159 (2.9576) Prec@1 45.312 (37.198) Prec@5 70.312 (62.587) Epoch: [3][6700/10010] Time 0.362 (0.331) Data 0.001 (0.001) Loss 2.7303 (2.9576) Prec@1 40.625 (37.197) Prec@5 69.531 (62.587) Epoch: [3][6710/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9065 (2.9576) Prec@1 39.062 (37.199) Prec@5 64.062 (62.588) Epoch: [3][6720/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.2743 (2.9575) Prec@1 36.719 (37.203) Prec@5 54.688 (62.591) Epoch: [3][6730/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0325 (2.9576) Prec@1 32.812 (37.199) Prec@5 61.719 (62.589) Epoch: [3][6740/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8787 (2.9577) Prec@1 41.406 (37.198) Prec@5 60.156 (62.585) Epoch: [3][6750/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8438 (2.9577) Prec@1 33.594 (37.200) Prec@5 62.500 (62.585) Epoch: [3][6760/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4626 (2.9575) Prec@1 44.531 (37.203) Prec@5 69.531 (62.588) Epoch: [3][6770/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5622 (2.9572) Prec@1 48.438 (37.207) Prec@5 69.531 (62.592) Epoch: [3][6780/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8563 (2.9570) Prec@1 36.719 (37.209) Prec@5 65.625 (62.595) Epoch: [3][6790/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5078 (2.9569) Prec@1 43.750 (37.212) Prec@5 70.312 (62.596) Epoch: [3][6800/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0011 (2.9567) Prec@1 32.031 (37.214) Prec@5 60.156 (62.598) Epoch: [3][6810/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8529 (2.9567) Prec@1 39.844 (37.215) Prec@5 64.062 (62.598) Epoch: [3][6820/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7176 (2.9566) Prec@1 42.188 (37.220) Prec@5 70.312 (62.600) Epoch: [3][6830/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6946 (2.9566) Prec@1 44.531 (37.220) Prec@5 68.750 (62.601) Epoch: [3][6840/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9828 (2.9565) Prec@1 37.500 (37.222) Prec@5 62.500 (62.602) Epoch: [3][6850/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.2657 (2.9565) Prec@1 30.469 (37.223) Prec@5 54.688 (62.602) Epoch: [3][6860/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6519 (2.9564) Prec@1 46.875 (37.225) Prec@5 69.531 (62.604) Epoch: [3][6870/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.0048 (2.9563) Prec@1 38.281 (37.227) Prec@5 58.594 (62.605) Epoch: [3][6880/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8817 (2.9562) Prec@1 39.062 (37.228) Prec@5 68.750 (62.605) Epoch: [3][6890/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6658 (2.9561) Prec@1 49.219 (37.232) Prec@5 67.188 (62.608) Epoch: [3][6900/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0586 (2.9562) Prec@1 35.938 (37.232) Prec@5 59.375 (62.608) Epoch: [3][6910/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9826 (2.9562) Prec@1 38.281 (37.231) Prec@5 68.750 (62.608) Epoch: [3][6920/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5738 (2.9561) Prec@1 48.438 (37.234) Prec@5 67.188 (62.610) Epoch: [3][6930/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.2005 (2.9561) Prec@1 35.938 (37.232) Prec@5 60.156 (62.610) Epoch: [3][6940/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.1768 (2.9561) Prec@1 31.250 (37.232) Prec@5 57.031 (62.610) Epoch: [3][6950/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7719 (2.9561) Prec@1 35.156 (37.233) Prec@5 67.969 (62.610) Epoch: [3][6960/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8292 (2.9561) Prec@1 43.750 (37.232) Prec@5 60.938 (62.609) Epoch: [3][6970/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6478 (2.9560) Prec@1 40.625 (37.236) Prec@5 65.625 (62.611) Epoch: [3][6980/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7596 (2.9558) Prec@1 35.938 (37.239) Prec@5 67.969 (62.614) Epoch: [3][6990/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6250 (2.9558) Prec@1 48.438 (37.241) Prec@5 70.312 (62.615) Epoch: [3][7000/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.1662 (2.9557) Prec@1 35.938 (37.242) Prec@5 58.594 (62.619) Epoch: [3][7010/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8621 (2.9555) Prec@1 39.062 (37.245) Prec@5 65.625 (62.620) Epoch: [3][7020/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8303 (2.9554) Prec@1 39.062 (37.247) Prec@5 60.938 (62.623) Epoch: [3][7030/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.2418 (2.9553) Prec@1 32.031 (37.249) Prec@5 57.812 (62.625) Epoch: [3][7040/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5618 (2.9552) Prec@1 44.531 (37.253) Prec@5 67.969 (62.626) Epoch: [3][7050/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7936 (2.9550) Prec@1 36.719 (37.254) Prec@5 66.406 (62.629) Epoch: [3][7060/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7631 (2.9549) Prec@1 42.188 (37.256) Prec@5 66.406 (62.629) Epoch: [3][7070/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9993 (2.9550) Prec@1 36.719 (37.257) Prec@5 62.500 (62.628) Epoch: [3][7080/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1227 (2.9550) Prec@1 35.156 (37.256) Prec@5 62.500 (62.630) Epoch: [3][7090/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9626 (2.9550) Prec@1 36.719 (37.258) Prec@5 60.156 (62.629) Epoch: [3][7100/10010] Time 0.315 (0.331) Data 0.002 (0.001) Loss 3.0936 (2.9551) Prec@1 35.156 (37.258) Prec@5 63.281 (62.631) Epoch: [3][7110/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8650 (2.9550) Prec@1 41.406 (37.260) Prec@5 64.062 (62.632) Epoch: [3][7120/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8581 (2.9548) Prec@1 35.156 (37.264) Prec@5 64.062 (62.635) Epoch: [3][7130/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9883 (2.9547) Prec@1 32.812 (37.267) Prec@5 64.062 (62.636) Epoch: [3][7140/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.3110 (2.9545) Prec@1 34.375 (37.269) Prec@5 60.156 (62.640) Epoch: [3][7150/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.1767 (2.9544) Prec@1 29.688 (37.271) Prec@5 60.156 (62.642) Epoch: [3][7160/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6789 (2.9544) Prec@1 40.625 (37.270) Prec@5 69.531 (62.641) Epoch: [3][7170/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.9410 (2.9543) Prec@1 42.969 (37.270) Prec@5 60.938 (62.643) Epoch: [3][7180/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8199 (2.9542) Prec@1 42.969 (37.271) Prec@5 69.531 (62.645) Epoch: [3][7190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.2588 (2.9541) Prec@1 30.469 (37.273) Prec@5 56.250 (62.649) Epoch: [3][7200/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9960 (2.9542) Prec@1 35.938 (37.271) Prec@5 60.938 (62.648) Epoch: [3][7210/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8867 (2.9541) Prec@1 41.406 (37.273) Prec@5 63.281 (62.653) Epoch: [3][7220/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.2212 (2.9543) Prec@1 38.281 (37.271) Prec@5 52.344 (62.647) Epoch: [3][7230/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.9074 (2.9544) Prec@1 36.719 (37.268) Prec@5 61.719 (62.647) Epoch: [3][7240/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8458 (2.9542) Prec@1 35.156 (37.267) Prec@5 60.156 (62.648) /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: [3][7250/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6546 (2.9543) Prec@1 41.406 (37.265) Prec@5 67.188 (62.648) Epoch: [3][7260/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6512 (2.9543) Prec@1 41.406 (37.266) Prec@5 69.531 (62.647) Epoch: [3][7270/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9581 (2.9542) Prec@1 35.156 (37.268) Prec@5 64.062 (62.648) Epoch: [3][7280/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8516 (2.9542) Prec@1 39.062 (37.269) Prec@5 64.844 (62.646) Epoch: [3][7290/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0003 (2.9542) Prec@1 40.625 (37.272) Prec@5 60.938 (62.647) Epoch: [3][7300/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0651 (2.9542) Prec@1 39.062 (37.275) Prec@5 60.938 (62.648) Epoch: [3][7310/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8498 (2.9541) Prec@1 37.500 (37.278) Prec@5 63.281 (62.650) Epoch: [3][7320/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.0804 (2.9541) Prec@1 39.844 (37.276) Prec@5 60.938 (62.648) Epoch: [3][7330/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.2121 (2.9542) Prec@1 32.031 (37.273) Prec@5 57.812 (62.647) Epoch: [3][7340/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8155 (2.9542) Prec@1 42.969 (37.276) Prec@5 64.844 (62.647) Epoch: [3][7350/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8566 (2.9542) Prec@1 39.062 (37.276) Prec@5 64.844 (62.647) Epoch: [3][7360/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.2637 (2.9543) Prec@1 34.375 (37.275) Prec@5 57.031 (62.643) Epoch: [3][7370/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5354 (2.9541) Prec@1 37.500 (37.277) Prec@5 72.656 (62.645) Epoch: [3][7380/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.0998 (2.9541) Prec@1 33.594 (37.277) Prec@5 59.375 (62.646) Epoch: [3][7390/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.1131 (2.9539) Prec@1 34.375 (37.279) Prec@5 60.156 (62.648) Epoch: [3][7400/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7964 (2.9538) Prec@1 32.812 (37.280) Prec@5 67.188 (62.648) Epoch: [3][7410/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 3.0601 (2.9540) Prec@1 36.719 (37.278) Prec@5 60.938 (62.647) Epoch: [3][7420/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.1840 (2.9538) Prec@1 32.031 (37.279) Prec@5 60.156 (62.650) Epoch: [3][7430/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1300 (2.9538) Prec@1 31.250 (37.279) Prec@5 55.469 (62.651) Epoch: [3][7440/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8479 (2.9537) Prec@1 34.375 (37.278) Prec@5 66.406 (62.652) Epoch: [3][7450/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9788 (2.9537) Prec@1 35.938 (37.278) Prec@5 62.500 (62.653) Epoch: [3][7460/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6957 (2.9537) Prec@1 51.562 (37.277) Prec@5 70.312 (62.654) Epoch: [3][7470/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8633 (2.9536) Prec@1 39.844 (37.278) Prec@5 64.062 (62.656) Epoch: [3][7480/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9358 (2.9536) Prec@1 38.281 (37.278) Prec@5 64.062 (62.657) Epoch: [3][7490/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9336 (2.9536) Prec@1 34.375 (37.278) Prec@5 60.938 (62.655) Epoch: [3][7500/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.1227 (2.9538) Prec@1 34.375 (37.276) Prec@5 60.938 (62.653) Epoch: [3][7510/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.8329 (2.9536) Prec@1 45.312 (37.279) Prec@5 61.719 (62.657) Epoch: [3][7520/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6132 (2.9537) Prec@1 40.625 (37.279) Prec@5 67.188 (62.657) Epoch: [3][7530/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7911 (2.9536) Prec@1 40.625 (37.280) Prec@5 63.281 (62.657) Epoch: [3][7540/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.4034 (2.9536) Prec@1 29.688 (37.280) Prec@5 54.688 (62.659) Epoch: [3][7550/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.8064 (2.9535) Prec@1 39.844 (37.280) Prec@5 64.062 (62.659) Epoch: [3][7560/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.3564 (2.9536) Prec@1 30.469 (37.278) Prec@5 59.375 (62.660) Epoch: [3][7570/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9603 (2.9535) Prec@1 37.500 (37.280) Prec@5 64.062 (62.662) Epoch: [3][7580/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.1864 (2.9536) Prec@1 33.594 (37.279) Prec@5 60.156 (62.660) Epoch: [3][7590/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6808 (2.9537) Prec@1 35.938 (37.277) Prec@5 70.312 (62.659) Epoch: [3][7600/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 3.1703 (2.9537) Prec@1 30.469 (37.274) Prec@5 58.594 (62.660) Epoch: [3][7610/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.4575 (2.9538) Prec@1 34.375 (37.275) Prec@5 53.906 (62.659) Epoch: [3][7620/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9007 (2.9538) Prec@1 38.281 (37.276) Prec@5 66.406 (62.659) Epoch: [3][7630/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6532 (2.9537) Prec@1 41.406 (37.277) Prec@5 64.062 (62.660) Epoch: [3][7640/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7936 (2.9537) Prec@1 40.625 (37.279) Prec@5 68.750 (62.659) Epoch: [3][7650/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.3955 (2.9538) Prec@1 48.438 (37.280) Prec@5 71.875 (62.658) Epoch: [3][7660/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7615 (2.9537) Prec@1 39.062 (37.282) Prec@5 62.500 (62.660) Epoch: [3][7670/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.1977 (2.9537) Prec@1 33.594 (37.283) Prec@5 60.938 (62.661) Epoch: [3][7680/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8759 (2.9538) Prec@1 35.156 (37.283) Prec@5 62.500 (62.656) Epoch: [3][7690/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9285 (2.9538) Prec@1 36.719 (37.283) Prec@5 64.844 (62.656) Epoch: [3][7700/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0446 (2.9538) Prec@1 35.156 (37.282) Prec@5 64.062 (62.658) Epoch: [3][7710/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.3192 (2.9537) Prec@1 29.688 (37.284) Prec@5 56.250 (62.658) Epoch: [3][7720/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7233 (2.9537) Prec@1 38.281 (37.284) Prec@5 66.406 (62.661) Epoch: [3][7730/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9993 (2.9536) Prec@1 35.938 (37.285) Prec@5 56.250 (62.661) Epoch: [3][7740/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6876 (2.9535) Prec@1 42.969 (37.287) Prec@5 68.750 (62.663) Epoch: [3][7750/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8614 (2.9534) Prec@1 42.188 (37.291) Prec@5 65.625 (62.664) Epoch: [3][7760/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0656 (2.9534) Prec@1 35.938 (37.291) Prec@5 61.719 (62.665) Epoch: [3][7770/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8906 (2.9533) Prec@1 33.594 (37.291) Prec@5 60.938 (62.669) Epoch: [3][7780/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0543 (2.9533) Prec@1 32.031 (37.291) Prec@5 64.062 (62.670) Epoch: [3][7790/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8096 (2.9533) Prec@1 42.969 (37.294) Prec@5 64.844 (62.671) Epoch: [3][7800/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8223 (2.9531) Prec@1 42.969 (37.295) Prec@5 60.156 (62.673) Epoch: [3][7810/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.7598 (2.9529) Prec@1 42.188 (37.299) Prec@5 71.094 (62.676) Epoch: [3][7820/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.8635 (2.9530) Prec@1 39.062 (37.298) Prec@5 64.062 (62.674) Epoch: [3][7830/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.1318 (2.9529) Prec@1 29.688 (37.298) Prec@5 58.594 (62.674) Epoch: [3][7840/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8865 (2.9527) Prec@1 42.188 (37.301) Prec@5 63.281 (62.678) /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: [3][7850/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9213 (2.9527) Prec@1 38.281 (37.299) Prec@5 63.281 (62.678) Epoch: [3][7860/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.9951 (2.9528) Prec@1 37.500 (37.301) Prec@5 65.625 (62.676) Epoch: [3][7870/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6244 (2.9528) Prec@1 45.312 (37.300) Prec@5 65.625 (62.676) Epoch: [3][7880/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.1190 (2.9527) Prec@1 30.469 (37.301) Prec@5 62.500 (62.677) Epoch: [3][7890/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.5486 (2.9525) Prec@1 46.875 (37.304) Prec@5 67.969 (62.679) Epoch: [3][7900/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7735 (2.9524) Prec@1 39.062 (37.307) Prec@5 64.844 (62.682) Epoch: [3][7910/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7079 (2.9523) Prec@1 42.188 (37.308) Prec@5 67.188 (62.683) Epoch: [3][7920/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7026 (2.9521) Prec@1 44.531 (37.311) Prec@5 67.188 (62.686) Epoch: [3][7930/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.3734 (2.9522) Prec@1 28.906 (37.311) Prec@5 53.906 (62.685) Epoch: [3][7940/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8590 (2.9520) Prec@1 37.500 (37.315) Prec@5 60.938 (62.687) Epoch: [3][7950/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0803 (2.9520) Prec@1 44.531 (37.318) Prec@5 62.500 (62.687) Epoch: [3][7960/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7667 (2.9520) Prec@1 36.719 (37.319) Prec@5 63.281 (62.685) Epoch: [3][7970/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0371 (2.9519) Prec@1 39.062 (37.319) Prec@5 65.625 (62.688) Epoch: [3][7980/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8530 (2.9519) Prec@1 37.500 (37.319) Prec@5 64.844 (62.689) Epoch: [3][7990/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7329 (2.9517) Prec@1 42.969 (37.321) Prec@5 64.844 (62.690) Epoch: [3][8000/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7618 (2.9517) Prec@1 45.312 (37.322) Prec@5 65.625 (62.690) Epoch: [3][8010/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.9556 (2.9516) Prec@1 39.062 (37.322) Prec@5 64.062 (62.690) /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: [3][8020/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8856 (2.9515) Prec@1 39.062 (37.325) Prec@5 62.500 (62.692) Epoch: [3][8030/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9719 (2.9514) Prec@1 35.938 (37.328) Prec@5 59.375 (62.694) Epoch: [3][8040/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7052 (2.9514) Prec@1 42.969 (37.328) Prec@5 63.281 (62.691) Epoch: [3][8050/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8634 (2.9514) Prec@1 36.719 (37.328) Prec@5 63.281 (62.692) Epoch: [3][8060/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7939 (2.9513) Prec@1 37.500 (37.326) Prec@5 63.281 (62.694) Epoch: [3][8070/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9329 (2.9512) Prec@1 37.500 (37.328) Prec@5 63.281 (62.694) Epoch: [3][8080/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9243 (2.9512) Prec@1 32.031 (37.328) Prec@5 66.406 (62.694) Epoch: [3][8090/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7894 (2.9510) Prec@1 41.406 (37.330) Prec@5 61.719 (62.696) Epoch: [3][8100/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8174 (2.9510) Prec@1 35.938 (37.330) Prec@5 63.281 (62.696) Epoch: [3][8110/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9800 (2.9508) Prec@1 35.938 (37.331) Prec@5 60.156 (62.698) Epoch: [3][8120/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8493 (2.9509) Prec@1 39.844 (37.333) Prec@5 64.062 (62.699) Epoch: [3][8130/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 3.3815 (2.9509) Prec@1 34.375 (37.333) Prec@5 59.375 (62.700) Epoch: [3][8140/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0278 (2.9508) Prec@1 35.938 (37.333) Prec@5 57.812 (62.702) Epoch: [3][8150/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7138 (2.9507) Prec@1 39.844 (37.335) Prec@5 68.750 (62.703) Epoch: [3][8160/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.1602 (2.9507) Prec@1 30.469 (37.336) Prec@5 55.469 (62.700) Epoch: [3][8170/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0298 (2.9509) Prec@1 39.062 (37.333) Prec@5 62.500 (62.698) Epoch: [3][8180/10010] Time 0.311 (0.331) Data 0.000 (0.001) Loss 2.9391 (2.9508) Prec@1 39.062 (37.333) Prec@5 61.719 (62.699) Epoch: [3][8190/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0046 (2.9510) Prec@1 34.375 (37.331) Prec@5 63.281 (62.696) Epoch: [3][8200/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.0949 (2.9509) Prec@1 34.375 (37.331) Prec@5 59.375 (62.696) Epoch: [3][8210/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8245 (2.9509) Prec@1 36.719 (37.330) Prec@5 61.719 (62.695) Epoch: [3][8220/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8916 (2.9510) Prec@1 41.406 (37.330) Prec@5 61.719 (62.695) Epoch: [3][8230/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8970 (2.9510) Prec@1 39.844 (37.330) Prec@5 62.500 (62.694) Epoch: [3][8240/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9507 (2.9509) Prec@1 38.281 (37.333) Prec@5 61.719 (62.695) Epoch: [3][8250/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7618 (2.9509) Prec@1 39.062 (37.332) Prec@5 65.625 (62.694) Epoch: [3][8260/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8129 (2.9509) Prec@1 40.625 (37.333) Prec@5 66.406 (62.697) Epoch: [3][8270/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.1248 (2.9509) Prec@1 29.688 (37.331) Prec@5 61.719 (62.696) Epoch: [3][8280/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.4357 (2.9508) Prec@1 42.969 (37.332) Prec@5 68.750 (62.699) Epoch: [3][8290/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.1924 (2.9508) Prec@1 35.938 (37.333) Prec@5 60.938 (62.700) Epoch: [3][8300/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.9375 (2.9507) Prec@1 39.844 (37.334) Prec@5 63.281 (62.700) Epoch: [3][8310/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0042 (2.9506) Prec@1 33.594 (37.334) Prec@5 60.938 (62.702) Epoch: [3][8320/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9030 (2.9506) Prec@1 38.281 (37.334) Prec@5 66.406 (62.703) Epoch: [3][8330/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3601 (2.9507) Prec@1 49.219 (37.332) Prec@5 74.219 (62.702) Epoch: [3][8340/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0335 (2.9506) Prec@1 35.156 (37.334) Prec@5 61.719 (62.703) Epoch: [3][8350/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9876 (2.9506) Prec@1 40.625 (37.334) Prec@5 63.281 (62.702) Epoch: [3][8360/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8844 (2.9505) Prec@1 39.062 (37.336) Prec@5 62.500 (62.705) Epoch: [3][8370/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0055 (2.9506) Prec@1 42.969 (37.335) Prec@5 60.938 (62.704) Epoch: [3][8380/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.2182 (2.9506) Prec@1 32.812 (37.336) Prec@5 60.156 (62.703) Epoch: [3][8390/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.1177 (2.9506) Prec@1 32.031 (37.335) Prec@5 58.594 (62.705) Epoch: [3][8400/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.1267 (2.9506) Prec@1 36.719 (37.336) Prec@5 65.625 (62.704) Epoch: [3][8410/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.2868 (2.9506) Prec@1 32.031 (37.335) Prec@5 60.938 (62.705) Epoch: [3][8420/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.1551 (2.9506) Prec@1 33.594 (37.333) Prec@5 57.812 (62.704) Epoch: [3][8430/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7475 (2.9505) Prec@1 38.281 (37.334) Prec@5 66.406 (62.706) Epoch: [3][8440/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8610 (2.9505) Prec@1 39.844 (37.333) Prec@5 64.062 (62.706) Epoch: [3][8450/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0708 (2.9504) Prec@1 34.375 (37.334) Prec@5 57.812 (62.708) Epoch: [3][8460/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.1959 (2.9504) Prec@1 32.812 (37.335) Prec@5 55.469 (62.709) Epoch: [3][8470/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7560 (2.9504) Prec@1 45.312 (37.337) Prec@5 67.969 (62.709) Epoch: [3][8480/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8476 (2.9502) Prec@1 41.406 (37.341) Prec@5 62.500 (62.710) Epoch: [3][8490/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9467 (2.9500) Prec@1 34.375 (37.344) Prec@5 59.375 (62.712) Epoch: [3][8500/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.1562 (2.9502) Prec@1 35.156 (37.341) Prec@5 57.812 (62.710) Epoch: [3][8510/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0547 (2.9502) Prec@1 35.156 (37.341) Prec@5 64.844 (62.711) Epoch: [3][8520/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.2120 (2.9501) Prec@1 38.281 (37.343) Prec@5 58.594 (62.712) Epoch: [3][8530/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.8295 (2.9501) Prec@1 41.406 (37.345) Prec@5 64.062 (62.712) Epoch: [3][8540/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8855 (2.9501) Prec@1 39.844 (37.345) Prec@5 60.156 (62.711) Epoch: [3][8550/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8227 (2.9500) Prec@1 36.719 (37.348) Prec@5 68.750 (62.715) Epoch: [3][8560/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0202 (2.9498) Prec@1 37.500 (37.350) Prec@5 63.281 (62.718) Epoch: [3][8570/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8875 (2.9497) Prec@1 39.062 (37.353) Prec@5 60.156 (62.719) Epoch: [3][8580/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0022 (2.9496) Prec@1 37.500 (37.354) Prec@5 60.938 (62.720) Epoch: [3][8590/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9030 (2.9495) Prec@1 35.938 (37.355) Prec@5 62.500 (62.721) Epoch: [3][8600/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.8473 (2.9494) Prec@1 32.031 (37.354) Prec@5 67.188 (62.722) Epoch: [3][8610/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6636 (2.9492) Prec@1 40.625 (37.356) Prec@5 66.406 (62.725) Epoch: [3][8620/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0334 (2.9491) Prec@1 36.719 (37.357) Prec@5 60.938 (62.727) Epoch: [3][8630/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8707 (2.9491) Prec@1 32.812 (37.360) Prec@5 66.406 (62.730) Epoch: [3][8640/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5933 (2.9488) Prec@1 42.188 (37.364) Prec@5 68.750 (62.734) Epoch: [3][8650/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9145 (2.9487) Prec@1 32.031 (37.366) Prec@5 63.281 (62.736) Epoch: [3][8660/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8692 (2.9486) Prec@1 42.969 (37.370) Prec@5 63.281 (62.737) Epoch: [3][8670/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.0665 (2.9487) Prec@1 37.500 (37.370) Prec@5 60.156 (62.735) Epoch: [3][8680/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4010 (2.9486) Prec@1 45.312 (37.372) Prec@5 71.875 (62.738) Epoch: [3][8690/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.1299 (2.9486) Prec@1 42.188 (37.372) Prec@5 64.844 (62.739) Epoch: [3][8700/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7485 (2.9486) Prec@1 39.844 (37.370) Prec@5 64.844 (62.740) Epoch: [3][8710/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.1154 (2.9487) Prec@1 35.938 (37.369) Prec@5 63.281 (62.738) Epoch: [3][8720/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.1013 (2.9486) Prec@1 37.500 (37.370) Prec@5 59.375 (62.740) Epoch: [3][8730/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0395 (2.9486) Prec@1 32.812 (37.371) Prec@5 64.844 (62.739) Epoch: [3][8740/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.3333 (2.9486) Prec@1 30.469 (37.370) Prec@5 54.688 (62.738) Epoch: [3][8750/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8542 (2.9485) Prec@1 35.156 (37.370) Prec@5 65.625 (62.740) Epoch: [3][8760/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9836 (2.9485) Prec@1 34.375 (37.371) Prec@5 63.281 (62.741) Epoch: [3][8770/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.1553 (2.9486) Prec@1 32.031 (37.371) Prec@5 61.719 (62.739) Epoch: [3][8780/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.1372 (2.9486) Prec@1 35.938 (37.370) Prec@5 57.812 (62.738) Epoch: [3][8790/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8223 (2.9486) Prec@1 40.625 (37.372) Prec@5 63.281 (62.738) Epoch: [3][8800/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9900 (2.9486) Prec@1 37.500 (37.374) Prec@5 60.938 (62.738) Epoch: [3][8810/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6184 (2.9485) Prec@1 39.062 (37.376) Prec@5 66.406 (62.741) Epoch: [3][8820/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8908 (2.9485) Prec@1 35.938 (37.376) Prec@5 67.188 (62.741) Epoch: [3][8830/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0487 (2.9487) Prec@1 36.719 (37.373) Prec@5 63.281 (62.739) Epoch: [3][8840/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.3023 (2.9486) Prec@1 35.938 (37.376) Prec@5 59.375 (62.739) Epoch: [3][8850/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8494 (2.9485) Prec@1 40.625 (37.378) Prec@5 66.406 (62.741) Epoch: [3][8860/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.0891 (2.9484) Prec@1 35.156 (37.379) Prec@5 64.844 (62.741) Epoch: [3][8870/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.0988 (2.9485) Prec@1 32.031 (37.376) Prec@5 58.594 (62.741) Epoch: [3][8880/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8549 (2.9484) Prec@1 46.094 (37.379) Prec@5 64.844 (62.742) Epoch: [3][8890/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0096 (2.9484) Prec@1 36.719 (37.379) Prec@5 59.375 (62.742) Epoch: [3][8900/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.8363 (2.9485) Prec@1 36.719 (37.379) Prec@5 67.969 (62.741) Epoch: [3][8910/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8493 (2.9484) Prec@1 40.625 (37.380) Prec@5 62.500 (62.742) Epoch: [3][8920/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4918 (2.9483) Prec@1 50.781 (37.384) Prec@5 73.438 (62.746) Epoch: [3][8930/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6558 (2.9484) Prec@1 46.094 (37.384) Prec@5 65.625 (62.745) Epoch: [3][8940/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.0226 (2.9484) Prec@1 36.719 (37.385) Prec@5 63.281 (62.746) Epoch: [3][8950/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8949 (2.9483) Prec@1 32.812 (37.385) Prec@5 63.281 (62.746) Epoch: [3][8960/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8519 (2.9482) Prec@1 40.625 (37.385) Prec@5 65.625 (62.747) Epoch: [3][8970/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9021 (2.9483) Prec@1 34.375 (37.383) Prec@5 65.625 (62.747) Epoch: [3][8980/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9328 (2.9484) Prec@1 37.500 (37.382) Prec@5 64.062 (62.747) Epoch: [3][8990/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.2476 (2.9485) Prec@1 35.938 (37.381) Prec@5 58.594 (62.745) Epoch: [3][9000/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.1864 (2.9485) Prec@1 35.156 (37.380) Prec@5 61.719 (62.746) Epoch: [3][9010/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.1418 (2.9485) Prec@1 37.500 (37.382) Prec@5 64.062 (62.747) Epoch: [3][9020/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6679 (2.9484) Prec@1 39.844 (37.384) Prec@5 67.188 (62.749) Epoch: [3][9030/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 3.0101 (2.9484) Prec@1 39.844 (37.386) Prec@5 60.938 (62.749) Epoch: [3][9040/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.4590 (2.9483) Prec@1 43.750 (37.387) Prec@5 74.219 (62.751) Epoch: [3][9050/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 3.3972 (2.9481) Prec@1 29.688 (37.388) Prec@5 49.219 (62.753) Epoch: [3][9060/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6909 (2.9480) Prec@1 42.188 (37.391) Prec@5 65.625 (62.754) Epoch: [3][9070/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7179 (2.9480) Prec@1 38.281 (37.391) Prec@5 65.625 (62.754) Epoch: [3][9080/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8718 (2.9479) Prec@1 38.281 (37.395) Prec@5 64.844 (62.757) /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: [3][9090/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.0728 (2.9478) Prec@1 36.719 (37.395) Prec@5 60.938 (62.758) Epoch: [3][9100/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9682 (2.9477) Prec@1 42.188 (37.395) Prec@5 68.750 (62.759) Epoch: [3][9110/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.5870 (2.9477) Prec@1 46.875 (37.394) Prec@5 70.312 (62.759) Epoch: [3][9120/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8985 (2.9477) Prec@1 42.188 (37.396) Prec@5 67.188 (62.759) Epoch: [3][9130/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0435 (2.9478) Prec@1 41.406 (37.395) Prec@5 60.156 (62.758) Epoch: [3][9140/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7332 (2.9477) Prec@1 42.188 (37.399) Prec@5 64.844 (62.760) Epoch: [3][9150/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0537 (2.9476) Prec@1 36.719 (37.401) Prec@5 61.719 (62.761) Epoch: [3][9160/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8387 (2.9476) Prec@1 40.625 (37.402) Prec@5 67.188 (62.763) Epoch: [3][9170/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.3529 (2.9477) Prec@1 26.562 (37.402) Prec@5 58.594 (62.761) Epoch: [3][9180/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7664 (2.9477) Prec@1 39.844 (37.402) Prec@5 66.406 (62.761) Epoch: [3][9190/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0562 (2.9476) Prec@1 37.500 (37.403) Prec@5 64.062 (62.762) Epoch: [3][9200/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0484 (2.9476) Prec@1 33.594 (37.403) Prec@5 59.375 (62.761) Epoch: [3][9210/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.2679 (2.9476) Prec@1 35.156 (37.404) Prec@5 57.812 (62.760) Epoch: [3][9220/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0558 (2.9475) Prec@1 37.500 (37.405) Prec@5 59.375 (62.762) Epoch: [3][9230/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7676 (2.9474) Prec@1 42.188 (37.406) Prec@5 64.844 (62.762) Epoch: [3][9240/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5216 (2.9472) Prec@1 50.000 (37.410) Prec@5 71.875 (62.764) Epoch: [3][9250/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.9492 (2.9472) Prec@1 39.844 (37.409) Prec@5 67.188 (62.766) Epoch: [3][9260/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0951 (2.9472) Prec@1 36.719 (37.410) Prec@5 60.938 (62.767) Epoch: [3][9270/10010] Time 0.310 (0.331) Data 0.001 (0.001) Loss 3.1735 (2.9472) Prec@1 30.469 (37.409) Prec@5 60.156 (62.767) Epoch: [3][9280/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6585 (2.9472) Prec@1 41.406 (37.409) Prec@5 67.969 (62.767) Epoch: [3][9290/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8909 (2.9472) Prec@1 35.938 (37.410) Prec@5 61.719 (62.769) Epoch: [3][9300/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8410 (2.9472) Prec@1 38.281 (37.411) Prec@5 67.188 (62.769) Epoch: [3][9310/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9921 (2.9471) Prec@1 36.719 (37.412) Prec@5 62.500 (62.770) Epoch: [3][9320/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9838 (2.9472) Prec@1 38.281 (37.412) Prec@5 59.375 (62.769) Epoch: [3][9330/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9208 (2.9470) Prec@1 35.156 (37.414) Prec@5 62.500 (62.771) Epoch: [3][9340/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4478 (2.9470) Prec@1 41.406 (37.414) Prec@5 68.750 (62.772) Epoch: [3][9350/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7130 (2.9469) Prec@1 33.594 (37.413) Prec@5 61.719 (62.772) Epoch: [3][9360/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 3.0439 (2.9469) Prec@1 35.156 (37.413) Prec@5 60.156 (62.773) Epoch: [3][9370/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0750 (2.9469) Prec@1 31.250 (37.412) Prec@5 60.156 (62.774) Epoch: [3][9380/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.8658 (2.9467) Prec@1 41.406 (37.414) Prec@5 61.719 (62.775) Epoch: [3][9390/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7572 (2.9466) Prec@1 44.531 (37.416) Prec@5 67.969 (62.778) Epoch: [3][9400/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.7429 (2.9465) Prec@1 35.938 (37.417) Prec@5 68.750 (62.782) Epoch: [3][9410/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7017 (2.9463) Prec@1 43.750 (37.421) Prec@5 66.406 (62.784) Epoch: [3][9420/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7603 (2.9463) Prec@1 39.062 (37.422) Prec@5 67.188 (62.784) Epoch: [3][9430/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6998 (2.9463) Prec@1 43.750 (37.423) Prec@5 66.406 (62.784) Epoch: [3][9440/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7615 (2.9463) Prec@1 41.406 (37.422) Prec@5 67.969 (62.785) Epoch: [3][9450/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6094 (2.9462) Prec@1 48.438 (37.425) Prec@5 68.750 (62.788) Epoch: [3][9460/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9359 (2.9462) Prec@1 37.500 (37.424) Prec@5 65.625 (62.788) Epoch: [3][9470/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5938 (2.9461) Prec@1 44.531 (37.424) Prec@5 71.875 (62.789) Epoch: [3][9480/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.0852 (2.9462) Prec@1 35.938 (37.421) Prec@5 63.281 (62.788) Epoch: [3][9490/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6998 (2.9462) Prec@1 37.500 (37.421) Prec@5 67.969 (62.789) Epoch: [3][9500/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8504 (2.9462) Prec@1 39.844 (37.422) Prec@5 64.844 (62.790) Epoch: [3][9510/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9122 (2.9461) Prec@1 42.188 (37.425) Prec@5 64.062 (62.790) Epoch: [3][9520/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.0312 (2.9461) Prec@1 37.500 (37.425) Prec@5 61.719 (62.791) Epoch: [3][9530/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8668 (2.9459) Prec@1 40.625 (37.427) Prec@5 64.844 (62.793) Epoch: [3][9540/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8769 (2.9458) Prec@1 36.719 (37.428) Prec@5 68.750 (62.795) Epoch: [3][9550/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9007 (2.9457) Prec@1 37.500 (37.429) Prec@5 63.281 (62.799) Epoch: [3][9560/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4435 (2.9457) Prec@1 46.875 (37.431) Prec@5 71.875 (62.800) Epoch: [3][9570/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9002 (2.9456) Prec@1 41.406 (37.434) Prec@5 61.719 (62.802) Epoch: [3][9580/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6345 (2.9457) Prec@1 36.719 (37.431) Prec@5 72.656 (62.801) /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: [3][9590/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0597 (2.9457) Prec@1 32.812 (37.431) Prec@5 58.594 (62.802) Epoch: [3][9600/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9838 (2.9456) Prec@1 32.812 (37.431) Prec@5 62.500 (62.802) Epoch: [3][9610/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6630 (2.9455) Prec@1 42.188 (37.433) Prec@5 69.531 (62.806) Epoch: [3][9620/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8010 (2.9453) Prec@1 41.406 (37.436) Prec@5 63.281 (62.810) Epoch: [3][9630/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0302 (2.9453) Prec@1 35.156 (37.437) Prec@5 61.719 (62.810) Epoch: [3][9640/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8328 (2.9453) Prec@1 39.062 (37.438) Prec@5 67.969 (62.809) Epoch: [3][9650/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9438 (2.9452) Prec@1 34.375 (37.438) Prec@5 57.812 (62.810) Epoch: [3][9660/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.2173 (2.9452) Prec@1 32.812 (37.440) Prec@5 57.812 (62.810) Epoch: [3][9670/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.1183 (2.9452) Prec@1 26.562 (37.439) Prec@5 57.812 (62.811) Epoch: [3][9680/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9551 (2.9452) Prec@1 34.375 (37.442) Prec@5 63.281 (62.811) Epoch: [3][9690/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0961 (2.9452) Prec@1 34.375 (37.442) Prec@5 62.500 (62.810) Epoch: [3][9700/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8064 (2.9452) Prec@1 34.375 (37.441) Prec@5 60.938 (62.812) Epoch: [3][9710/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9037 (2.9449) Prec@1 38.281 (37.445) Prec@5 56.250 (62.817) Epoch: [3][9720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6632 (2.9449) Prec@1 43.750 (37.446) Prec@5 67.969 (62.817) Epoch: [3][9730/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7887 (2.9448) Prec@1 34.375 (37.446) Prec@5 61.719 (62.819) Epoch: [3][9740/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8588 (2.9448) Prec@1 39.062 (37.446) Prec@5 66.406 (62.818) Epoch: [3][9750/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8837 (2.9449) Prec@1 36.719 (37.445) Prec@5 60.156 (62.817) Epoch: [3][9760/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7710 (2.9448) Prec@1 45.312 (37.447) Prec@5 64.062 (62.819) Epoch: [3][9770/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4289 (2.9448) Prec@1 45.312 (37.447) Prec@5 71.875 (62.820) Epoch: [3][9780/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8069 (2.9447) Prec@1 40.625 (37.447) Prec@5 69.531 (62.820) Epoch: [3][9790/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.0614 (2.9447) Prec@1 38.281 (37.448) Prec@5 60.938 (62.820) Epoch: [3][9800/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 2.8778 (2.9445) Prec@1 39.844 (37.451) Prec@5 66.406 (62.822) Epoch: [3][9810/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9806 (2.9445) Prec@1 35.156 (37.450) Prec@5 63.281 (62.823) Epoch: [3][9820/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8606 (2.9446) Prec@1 35.938 (37.449) Prec@5 64.062 (62.820) Epoch: [3][9830/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8251 (2.9445) Prec@1 39.062 (37.449) Prec@5 64.844 (62.820) Epoch: [3][9840/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5146 (2.9444) Prec@1 46.875 (37.451) Prec@5 71.875 (62.823) Epoch: [3][9850/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9382 (2.9443) Prec@1 37.500 (37.452) Prec@5 62.500 (62.824) Epoch: [3][9860/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7116 (2.9443) Prec@1 37.500 (37.453) Prec@5 67.969 (62.826) Epoch: [3][9870/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.2218 (2.9443) Prec@1 36.719 (37.453) Prec@5 53.906 (62.825) Epoch: [3][9880/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8040 (2.9443) Prec@1 42.969 (37.452) Prec@5 65.625 (62.826) Epoch: [3][9890/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0905 (2.9442) Prec@1 39.062 (37.454) Prec@5 57.812 (62.826) Epoch: [3][9900/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7265 (2.9441) Prec@1 42.188 (37.457) Prec@5 67.188 (62.829) Epoch: [3][9910/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.9045 (2.9440) Prec@1 36.719 (37.459) Prec@5 66.406 (62.833) Epoch: [3][9920/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.4095 (2.9440) Prec@1 31.250 (37.459) Prec@5 56.250 (62.833) Epoch: [3][9930/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9015 (2.9440) Prec@1 38.281 (37.459) Prec@5 58.594 (62.832) Epoch: [3][9940/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0722 (2.9440) Prec@1 33.594 (37.459) Prec@5 58.594 (62.832) Epoch: [3][9950/10010] Time 0.324 (0.331) Data 0.003 (0.001) Loss 2.8455 (2.9440) Prec@1 35.156 (37.460) Prec@5 64.844 (62.830) Epoch: [3][9960/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7275 (2.9440) Prec@1 43.750 (37.460) Prec@5 62.500 (62.831) Epoch: [3][9970/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 2.7715 (2.9440) Prec@1 39.844 (37.459) Prec@5 64.844 (62.829) Epoch: [3][9980/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8671 (2.9441) Prec@1 40.625 (37.458) Prec@5 65.625 (62.829) Epoch: [3][9990/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.1338 (2.9441) Prec@1 35.938 (37.458) Prec@5 61.719 (62.830) Epoch: [3][10000/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7610 (2.9440) Prec@1 44.531 (37.461) Prec@5 65.625 (62.829) Test: [0/391] Time 2.094 (2.094) Loss 1.7900 (1.7900) Prec@1 66.406 (66.406) Prec@5 82.031 (82.031) Test: [10/391] Time 0.106 (0.287) Loss 3.5107 (1.9178) Prec@1 34.375 (53.764) Prec@5 57.812 (80.469) Test: [20/391] Time 0.101 (0.200) Loss 3.0493 (2.6562) Prec@1 39.844 (42.597) Prec@5 61.719 (68.341) Test: [30/391] Time 0.114 (0.174) Loss 3.2559 (2.7093) Prec@1 39.844 (40.474) Prec@5 59.375 (68.120) Test: [40/391] Time 0.104 (0.157) Loss 2.9418 (2.5136) Prec@1 31.250 (44.226) Prec@5 61.719 (70.979) Test: [50/391] Time 0.108 (0.147) Loss 1.9967 (2.6432) Prec@1 46.094 (42.555) Prec@5 78.906 (68.796) Test: [60/391] Time 0.103 (0.141) Loss 2.0534 (2.4821) Prec@1 47.656 (45.402) Prec@5 76.562 (71.222) Test: [70/391] Time 0.111 (0.136) Loss 2.9700 (2.5393) Prec@1 27.344 (43.387) Prec@5 62.500 (70.357) Test: [80/391] Time 0.202 (0.133) Loss 2.8955 (2.5702) Prec@1 30.469 (41.995) Prec@5 64.062 (69.686) Test: [90/391] Time 0.104 (0.130) Loss 2.2544 (2.5608) Prec@1 35.156 (41.535) Prec@5 78.906 (69.943) Test: [100/391] Time 0.106 (0.128) Loss 1.9714 (2.5387) Prec@1 53.125 (41.399) Prec@5 80.469 (70.212) Test: [110/391] Time 0.115 (0.126) Loss 2.2960 (2.5272) Prec@1 43.750 (41.329) Prec@5 80.469 (70.376) Test: [120/391] Time 0.108 (0.124) Loss 2.0882 (2.5002) Prec@1 46.094 (41.858) Prec@5 82.031 (70.932) Test: [130/391] Time 0.099 (0.123) Loss 1.5332 (2.4744) Prec@1 66.406 (42.432) Prec@5 85.938 (71.350) Test: [140/391] Time 0.100 (0.122) Loss 1.9894 (2.4504) Prec@1 49.219 (42.730) Prec@5 81.250 (71.797) Test: [150/391] Time 0.105 (0.121) Loss 2.3019 (2.4475) Prec@1 39.844 (42.720) Prec@5 73.438 (71.792) Test: [160/391] Time 0.100 (0.120) Loss 1.9167 (2.4563) Prec@1 54.688 (42.823) Prec@5 81.250 (71.628) Test: [170/391] Time 0.105 (0.120) Loss 2.6023 (2.4838) Prec@1 39.062 (42.553) Prec@5 69.531 (71.153) Test: [180/391] Time 0.110 (0.119) Loss 3.7378 (2.5139) Prec@1 23.438 (41.959) Prec@5 49.219 (70.770) Test: [190/391] Time 0.104 (0.118) Loss 3.7039 (2.5501) Prec@1 32.812 (41.525) Prec@5 54.688 (70.092) Test: [200/391] Time 0.109 (0.118) Loss 3.4138 (2.5867) Prec@1 32.031 (41.033) Prec@5 50.781 (69.512) Test: [210/391] Time 0.108 (0.117) Loss 2.3892 (2.6062) Prec@1 42.969 (40.692) Prec@5 75.781 (69.194) Test: [220/391] Time 0.103 (0.117) Loss 2.5101 (2.6185) Prec@1 43.750 (40.625) Prec@5 66.406 (68.870) Test: [230/391] Time 0.105 (0.117) Loss 4.0423 (2.6467) Prec@1 17.188 (40.209) Prec@5 45.312 (68.364) Test: [240/391] Time 0.109 (0.117) Loss 3.8404 (2.6722) Prec@1 23.438 (39.938) Prec@5 52.344 (67.907) Test: [250/391] Time 0.116 (0.116) Loss 2.8095 (2.6910) Prec@1 43.750 (39.763) Prec@5 64.062 (67.676) Test: [260/391] Time 0.104 (0.116) Loss 3.9373 (2.7091) Prec@1 25.781 (39.437) Prec@5 43.750 (67.328) Test: [270/391] Time 0.111 (0.116) Loss 4.0842 (2.7253) Prec@1 21.094 (39.322) Prec@5 42.188 (66.974) Test: [280/391] Time 0.107 (0.116) Loss 2.1161 (2.7445) Prec@1 39.062 (39.046) Prec@5 79.688 (66.681) Test: [290/391] Time 0.103 (0.115) Loss 2.8499 (2.7594) Prec@1 31.250 (38.907) Prec@5 65.625 (66.422) Test: [300/391] Time 0.108 (0.115) Loss 3.2651 (2.7791) Prec@1 38.281 (38.671) Prec@5 65.625 (66.154) Test: [310/391] Time 0.207 (0.115) Loss 3.2845 (2.7935) Prec@1 41.406 (38.527) Prec@5 59.375 (65.886) Test: [320/391] Time 0.102 (0.115) Loss 1.9863 (2.8049) Prec@1 53.125 (38.340) Prec@5 78.125 (65.696) Test: [330/391] Time 0.104 (0.114) Loss 3.7386 (2.8279) Prec@1 36.719 (38.059) Prec@5 53.125 (65.290) Test: [340/391] Time 0.105 (0.114) Loss 2.8508 (2.8334) Prec@1 24.219 (37.924) Prec@5 73.438 (65.185) Test: [350/391] Time 0.109 (0.114) Loss 2.8553 (2.8380) Prec@1 33.594 (37.838) Prec@5 67.969 (65.140) Test: [360/391] Time 0.110 (0.114) Loss 2.8665 (2.8380) Prec@1 32.812 (37.881) Prec@5 63.281 (65.119) Test: [370/391] Time 0.107 (0.114) Loss 2.1025 (2.8362) Prec@1 53.906 (37.900) Prec@5 79.688 (65.147) Test: [380/391] Time 0.101 (0.114) Loss 2.2584 (2.8365) Prec@1 44.531 (37.976) Prec@5 73.438 (65.190) Test: [390/391] Time 0.071 (0.113) Loss 4.3209 (2.8234) Prec@1 15.000 (38.262) Prec@5 46.250 (65.414) * Prec@1 38.262 Prec@5 65.414 Epoch: [4][0/10010] Time 2.636 (2.636) Data 2.471 (2.471) Loss 2.6883 (2.6883) Prec@1 41.406 (41.406) Prec@5 67.188 (67.188) Epoch: [4][10/10010] Time 0.323 (0.534) Data 0.001 (0.226) Loss 3.1267 (2.9465) Prec@1 25.000 (37.003) Prec@5 64.844 (64.844) Epoch: [4][20/10010] Time 0.326 (0.434) Data 0.000 (0.119) Loss 3.1842 (2.9612) Prec@1 32.031 (36.161) Prec@5 64.062 (64.211) Epoch: [4][30/10010] Time 0.327 (0.398) Data 0.001 (0.081) Loss 2.7506 (2.9252) Prec@1 39.062 (36.971) Prec@5 67.969 (64.163) Epoch: [4][40/10010] Time 0.325 (0.380) Data 0.001 (0.061) Loss 2.8105 (2.9224) Prec@1 41.406 (37.519) Prec@5 64.844 (64.101) Epoch: [4][50/10010] Time 0.322 (0.369) Data 0.001 (0.049) Loss 2.6667 (2.9081) Prec@1 42.188 (37.377) Prec@5 68.750 (64.277) Epoch: [4][60/10010] Time 0.342 (0.362) Data 0.000 (0.041) Loss 2.7716 (2.8862) Prec@1 41.406 (37.692) Prec@5 60.938 (64.485) Epoch: [4][70/10010] Time 0.330 (0.358) Data 0.000 (0.036) Loss 2.6386 (2.8984) Prec@1 41.406 (37.621) Prec@5 69.531 (64.074) Epoch: [4][80/10010] Time 0.326 (0.354) Data 0.001 (0.031) Loss 2.6542 (2.9075) Prec@1 39.062 (37.461) Prec@5 64.844 (63.773) Epoch: [4][90/10010] Time 0.325 (0.352) Data 0.001 (0.028) Loss 3.0600 (2.9007) Prec@1 32.031 (37.620) Prec@5 62.500 (63.822) Epoch: [4][100/10010] Time 0.329 (0.350) Data 0.000 (0.025) Loss 2.9188 (2.9061) Prec@1 40.625 (37.608) Prec@5 65.625 (63.606) Epoch: [4][110/10010] Time 0.341 (0.348) Data 0.001 (0.023) Loss 2.9692 (2.9013) Prec@1 28.906 (37.697) Prec@5 62.500 (63.739) Epoch: [4][120/10010] Time 0.315 (0.347) Data 0.001 (0.021) Loss 3.4534 (2.8965) Prec@1 32.031 (37.849) Prec@5 52.344 (63.669) Epoch: [4][130/10010] Time 0.334 (0.345) Data 0.000 (0.020) Loss 2.5941 (2.8881) Prec@1 45.312 (38.073) Prec@5 68.750 (63.800) Epoch: [4][140/10010] Time 0.337 (0.344) Data 0.000 (0.018) Loss 2.8778 (2.8910) Prec@1 34.375 (38.054) Prec@5 61.719 (63.802) Epoch: [4][150/10010] Time 0.337 (0.344) Data 0.001 (0.017) Loss 2.8777 (2.8874) Prec@1 41.406 (38.204) Prec@5 63.281 (63.861) Epoch: [4][160/10010] Time 0.344 (0.343) Data 0.000 (0.016) Loss 3.0524 (2.8878) Prec@1 36.719 (38.170) Prec@5 58.594 (63.859) Epoch: [4][170/10010] Time 0.332 (0.342) Data 0.002 (0.015) Loss 3.1551 (2.8850) Prec@1 38.281 (38.249) Prec@5 57.812 (63.875) Epoch: [4][180/10010] Time 0.318 (0.341) Data 0.000 (0.014) Loss 3.2109 (2.8804) Prec@1 34.375 (38.381) Prec@5 60.156 (63.972) Epoch: [4][190/10010] Time 0.323 (0.341) Data 0.001 (0.014) Loss 2.9231 (2.8789) Prec@1 39.844 (38.453) Prec@5 61.719 (63.940) Epoch: [4][200/10010] Time 0.329 (0.340) Data 0.000 (0.013) Loss 3.1127 (2.8873) Prec@1 38.281 (38.343) Prec@5 59.375 (63.771) Epoch: [4][210/10010] Time 0.335 (0.339) Data 0.001 (0.012) Loss 3.1817 (2.8885) Prec@1 32.031 (38.348) Prec@5 54.688 (63.751) Epoch: [4][220/10010] Time 0.325 (0.339) Data 0.000 (0.012) Loss 3.0587 (2.8856) Prec@1 36.719 (38.416) Prec@5 60.938 (63.776) Epoch: [4][230/10010] Time 0.329 (0.339) Data 0.001 (0.011) Loss 2.9372 (2.8872) Prec@1 32.812 (38.366) Prec@5 53.906 (63.657) Epoch: [4][240/10010] Time 0.326 (0.338) Data 0.001 (0.011) Loss 2.7754 (2.8902) Prec@1 35.938 (38.281) Prec@5 65.625 (63.615) Epoch: [4][250/10010] Time 0.323 (0.338) Data 0.001 (0.011) Loss 2.5420 (2.8877) Prec@1 43.750 (38.334) Prec@5 71.875 (63.664) Epoch: [4][260/10010] Time 0.328 (0.338) Data 0.001 (0.010) Loss 2.9707 (2.8896) Prec@1 32.812 (38.275) Prec@5 60.156 (63.637) Epoch: [4][270/10010] Time 0.318 (0.337) Data 0.001 (0.010) Loss 2.9435 (2.8899) Prec@1 39.062 (38.296) Prec@5 62.500 (63.621) Epoch: [4][280/10010] Time 0.341 (0.337) Data 0.001 (0.009) Loss 3.1080 (2.8889) Prec@1 30.469 (38.256) Prec@5 57.031 (63.640) Epoch: [4][290/10010] Time 0.321 (0.337) Data 0.001 (0.009) Loss 2.7898 (2.8849) Prec@1 40.625 (38.292) Prec@5 64.844 (63.708) Epoch: [4][300/10010] Time 0.334 (0.336) Data 0.000 (0.009) Loss 2.8790 (2.8865) Prec@1 42.969 (38.325) Prec@5 67.188 (63.741) Epoch: [4][310/10010] Time 0.341 (0.336) Data 0.001 (0.009) Loss 2.9158 (2.8868) Prec@1 39.844 (38.364) Prec@5 60.938 (63.701) Epoch: [4][320/10010] Time 0.331 (0.336) Data 0.001 (0.008) Loss 2.8991 (2.8817) Prec@1 39.062 (38.391) Prec@5 60.156 (63.751) Epoch: [4][330/10010] Time 0.331 (0.336) Data 0.001 (0.008) Loss 3.2577 (2.8813) Prec@1 36.719 (38.451) Prec@5 59.375 (63.739) Epoch: [4][340/10010] Time 0.330 (0.336) Data 0.001 (0.008) Loss 2.9088 (2.8797) Prec@1 32.031 (38.446) Prec@5 63.281 (63.788) Epoch: [4][350/10010] Time 0.337 (0.336) Data 0.001 (0.008) Loss 2.8494 (2.8794) Prec@1 44.531 (38.475) Prec@5 57.031 (63.793) Epoch: [4][360/10010] Time 0.348 (0.336) Data 0.001 (0.008) Loss 2.6580 (2.8756) Prec@1 42.188 (38.498) Prec@5 69.531 (63.863) Epoch: [4][370/10010] Time 0.335 (0.336) Data 0.001 (0.007) Loss 3.1623 (2.8756) Prec@1 33.594 (38.502) Prec@5 53.906 (63.871) Epoch: [4][380/10010] Time 0.332 (0.336) Data 0.001 (0.007) Loss 2.5159 (2.8758) Prec@1 50.781 (38.531) Prec@5 71.094 (63.851) Epoch: [4][390/10010] Time 0.328 (0.335) Data 0.000 (0.007) Loss 2.8080 (2.8744) Prec@1 40.625 (38.577) Prec@5 64.844 (63.877) Epoch: [4][400/10010] Time 0.346 (0.335) Data 0.000 (0.007) Loss 2.7707 (2.8744) Prec@1 39.844 (38.568) Prec@5 65.625 (63.889) Epoch: [4][410/10010] Time 0.319 (0.335) Data 0.001 (0.007) Loss 3.2482 (2.8755) Prec@1 29.688 (38.557) Prec@5 53.906 (63.907) Epoch: [4][420/10010] Time 0.330 (0.335) Data 0.001 (0.007) Loss 2.7166 (2.8771) Prec@1 43.750 (38.524) Prec@5 68.750 (63.871) Epoch: [4][430/10010] Time 0.321 (0.335) Data 0.001 (0.006) Loss 2.8514 (2.8774) Prec@1 39.844 (38.540) Prec@5 64.844 (63.870) Epoch: [4][440/10010] Time 0.321 (0.335) Data 0.001 (0.006) Loss 2.6051 (2.8760) Prec@1 38.281 (38.561) Prec@5 67.969 (63.887) Epoch: [4][450/10010] Time 0.332 (0.335) Data 0.001 (0.006) Loss 2.6992 (2.8757) Prec@1 42.188 (38.536) Prec@5 70.312 (63.927) Epoch: [4][460/10010] Time 0.321 (0.335) Data 0.001 (0.006) Loss 3.0938 (2.8754) Prec@1 35.938 (38.522) Prec@5 62.500 (63.940) Epoch: [4][470/10010] Time 0.337 (0.335) Data 0.001 (0.006) Loss 2.8614 (2.8756) Prec@1 36.719 (38.472) Prec@5 64.844 (63.923) Epoch: [4][480/10010] Time 0.329 (0.335) Data 0.000 (0.006) Loss 2.9262 (2.8747) Prec@1 42.969 (38.505) Prec@5 60.938 (63.929) Epoch: [4][490/10010] Time 0.348 (0.335) Data 0.000 (0.006) Loss 2.8307 (2.8733) Prec@1 41.406 (38.542) Prec@5 62.500 (63.961) Epoch: [4][500/10010] Time 0.342 (0.335) Data 0.001 (0.006) Loss 2.7658 (2.8748) Prec@1 37.500 (38.520) Prec@5 68.750 (63.947) Epoch: [4][510/10010] Time 0.323 (0.335) Data 0.001 (0.005) Loss 2.6061 (2.8762) Prec@1 35.156 (38.486) Prec@5 67.188 (63.919) Epoch: [4][520/10010] Time 0.309 (0.335) Data 0.001 (0.005) Loss 2.9951 (2.8748) Prec@1 37.500 (38.517) Prec@5 60.938 (63.950) Epoch: [4][530/10010] Time 0.344 (0.334) Data 0.001 (0.005) Loss 2.9438 (2.8753) Prec@1 38.281 (38.499) Prec@5 61.719 (63.926) Epoch: [4][540/10010] Time 0.337 (0.334) Data 0.001 (0.005) Loss 2.6989 (2.8756) Prec@1 43.750 (38.495) Prec@5 71.094 (63.930) Epoch: [4][550/10010] Time 0.324 (0.334) Data 0.001 (0.005) Loss 3.1486 (2.8776) Prec@1 37.500 (38.493) Prec@5 60.156 (63.888) Epoch: [4][560/10010] Time 0.338 (0.334) Data 0.001 (0.005) Loss 2.9688 (2.8788) Prec@1 38.281 (38.457) Prec@5 62.500 (63.858) Epoch: [4][570/10010] Time 0.329 (0.334) Data 0.001 (0.005) Loss 2.9570 (2.8792) Prec@1 42.188 (38.485) Prec@5 59.375 (63.846) Epoch: [4][580/10010] Time 0.333 (0.334) Data 0.001 (0.005) Loss 2.9062 (2.8814) Prec@1 40.625 (38.484) Prec@5 60.938 (63.818) Epoch: [4][590/10010] Time 0.339 (0.334) Data 0.001 (0.005) Loss 2.9332 (2.8824) Prec@1 40.625 (38.473) Prec@5 63.281 (63.789) Epoch: [4][600/10010] Time 0.336 (0.334) Data 0.001 (0.005) Loss 2.8657 (2.8825) Prec@1 41.406 (38.494) Prec@5 61.719 (63.792) Epoch: [4][610/10010] Time 0.327 (0.334) Data 0.001 (0.005) Loss 2.6611 (2.8821) Prec@1 38.281 (38.479) Prec@5 69.531 (63.808) Epoch: [4][620/10010] Time 0.335 (0.334) Data 0.001 (0.005) Loss 3.2393 (2.8839) Prec@1 34.375 (38.475) Prec@5 57.812 (63.783) Epoch: [4][630/10010] Time 0.332 (0.334) Data 0.001 (0.005) Loss 2.6459 (2.8843) Prec@1 46.094 (38.492) Prec@5 69.531 (63.768) Epoch: [4][640/10010] Time 0.325 (0.334) Data 0.000 (0.005) Loss 2.9328 (2.8850) Prec@1 37.500 (38.471) Prec@5 65.625 (63.766) Epoch: [4][650/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 2.6980 (2.8849) Prec@1 42.969 (38.492) Prec@5 62.500 (63.758) Epoch: [4][660/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 3.2909 (2.8845) Prec@1 32.812 (38.485) Prec@5 56.250 (63.762) Epoch: [4][670/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 2.5942 (2.8834) Prec@1 43.750 (38.493) Prec@5 68.750 (63.787) Epoch: [4][680/10010] Time 0.338 (0.334) Data 0.001 (0.004) Loss 3.0327 (2.8836) Prec@1 34.375 (38.488) Prec@5 61.719 (63.780) Epoch: [4][690/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.7885 (2.8842) Prec@1 39.062 (38.472) Prec@5 67.969 (63.756) Epoch: [4][700/10010] Time 0.332 (0.334) Data 0.000 (0.004) Loss 2.6224 (2.8833) Prec@1 38.281 (38.462) Prec@5 67.969 (63.773) Epoch: [4][710/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 3.1694 (2.8853) Prec@1 35.156 (38.442) Prec@5 64.062 (63.748) Epoch: [4][720/10010] Time 0.333 (0.334) Data 0.000 (0.004) Loss 2.6370 (2.8863) Prec@1 46.875 (38.450) Prec@5 68.750 (63.745) Epoch: [4][730/10010] Time 0.322 (0.334) Data 0.001 (0.004) Loss 2.7029 (2.8857) Prec@1 35.938 (38.466) Prec@5 67.188 (63.750) Epoch: [4][740/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 2.6359 (2.8853) Prec@1 44.531 (38.485) Prec@5 71.875 (63.797) Epoch: [4][750/10010] Time 0.336 (0.333) Data 0.001 (0.004) Loss 3.0515 (2.8857) Prec@1 36.719 (38.456) Prec@5 57.031 (63.772) Epoch: [4][760/10010] Time 0.347 (0.333) Data 0.001 (0.004) Loss 2.8293 (2.8848) Prec@1 42.969 (38.481) Prec@5 67.969 (63.781) Epoch: [4][770/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 2.7764 (2.8838) Prec@1 40.625 (38.501) Prec@5 71.094 (63.799) Epoch: [4][780/10010] Time 0.315 (0.333) Data 0.000 (0.004) Loss 2.8257 (2.8839) Prec@1 35.156 (38.501) Prec@5 63.281 (63.786) Epoch: [4][790/10010] Time 0.340 (0.333) Data 0.000 (0.004) Loss 2.9369 (2.8844) Prec@1 38.281 (38.510) Prec@5 68.750 (63.767) Epoch: [4][800/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 3.1134 (2.8857) Prec@1 32.812 (38.495) Prec@5 60.156 (63.751) Epoch: [4][810/10010] Time 0.333 (0.333) Data 0.000 (0.004) Loss 3.1662 (2.8873) Prec@1 30.469 (38.479) Prec@5 60.156 (63.733) Epoch: [4][820/10010] Time 0.338 (0.333) Data 0.001 (0.004) Loss 3.2692 (2.8871) Prec@1 29.688 (38.472) Prec@5 60.938 (63.745) Epoch: [4][830/10010] Time 0.339 (0.333) Data 0.000 (0.004) Loss 3.0920 (2.8881) Prec@1 34.375 (38.453) Prec@5 57.812 (63.736) Epoch: [4][840/10010] Time 0.335 (0.333) Data 0.001 (0.004) Loss 3.2042 (2.8878) Prec@1 35.156 (38.458) Prec@5 60.156 (63.752) Epoch: [4][850/10010] Time 0.342 (0.333) Data 0.000 (0.004) Loss 3.1419 (2.8872) Prec@1 36.719 (38.475) Prec@5 57.031 (63.760) Epoch: [4][860/10010] Time 0.323 (0.333) Data 0.000 (0.004) Loss 2.8800 (2.8875) Prec@1 43.750 (38.464) Prec@5 64.844 (63.763) Epoch: [4][870/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 2.8349 (2.8880) Prec@1 39.844 (38.464) Prec@5 65.625 (63.762) Epoch: [4][880/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.7626 (2.8875) Prec@1 43.750 (38.482) Prec@5 67.188 (63.764) Epoch: [4][890/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 2.6010 (2.8867) Prec@1 44.531 (38.493) Prec@5 71.094 (63.781) Epoch: [4][900/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 2.8406 (2.8868) Prec@1 33.594 (38.494) Prec@5 69.531 (63.782) Epoch: [4][910/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.9238 (2.8861) Prec@1 36.719 (38.511) Prec@5 60.156 (63.785) Epoch: [4][920/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.7751 (2.8867) Prec@1 39.062 (38.509) Prec@5 62.500 (63.773) Epoch: [4][930/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.7954 (2.8863) Prec@1 42.969 (38.522) Prec@5 65.625 (63.782) Epoch: [4][940/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.7236 (2.8859) Prec@1 48.438 (38.549) Prec@5 66.406 (63.783) Epoch: [4][950/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.5991 (2.8856) Prec@1 42.969 (38.556) Prec@5 71.875 (63.807) Epoch: [4][960/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.6109 (2.8855) Prec@1 42.969 (38.570) Prec@5 66.406 (63.806) Epoch: [4][970/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 3.1364 (2.8845) Prec@1 32.812 (38.589) Prec@5 60.156 (63.828) Epoch: [4][980/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.8818 (2.8840) Prec@1 36.719 (38.594) Prec@5 63.281 (63.831) Epoch: [4][990/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 2.6665 (2.8837) Prec@1 44.531 (38.608) Prec@5 64.844 (63.846) Epoch: [4][1000/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 3.0958 (2.8842) Prec@1 34.375 (38.593) Prec@5 61.719 (63.833) Epoch: [4][1010/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 2.9315 (2.8838) Prec@1 35.938 (38.593) Prec@5 67.188 (63.840) Epoch: [4][1020/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.8148 (2.8836) Prec@1 35.156 (38.590) Prec@5 68.750 (63.857) Epoch: [4][1030/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 3.1603 (2.8831) Prec@1 32.031 (38.598) Prec@5 56.250 (63.865) Epoch: [4][1040/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 3.1850 (2.8832) Prec@1 35.938 (38.590) Prec@5 57.031 (63.861) Epoch: [4][1050/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.9957 (2.8836) Prec@1 37.500 (38.578) Prec@5 60.938 (63.853) Epoch: [4][1060/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.9097 (2.8844) Prec@1 41.406 (38.565) Prec@5 64.062 (63.842) Epoch: [4][1070/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 2.8320 (2.8847) Prec@1 40.625 (38.556) Prec@5 64.062 (63.846) /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: [4][1080/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.7795 (2.8842) Prec@1 35.156 (38.541) Prec@5 65.625 (63.856) Epoch: [4][1090/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.9521 (2.8841) Prec@1 30.469 (38.537) Prec@5 64.062 (63.861) Epoch: [4][1100/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.7596 (2.8837) Prec@1 38.281 (38.533) Prec@5 66.406 (63.856) Epoch: [4][1110/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.9715 (2.8833) Prec@1 39.062 (38.538) Prec@5 60.938 (63.859) Epoch: [4][1120/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 2.7438 (2.8836) Prec@1 39.844 (38.527) Prec@5 67.188 (63.861) Epoch: [4][1130/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 2.7562 (2.8838) Prec@1 46.875 (38.523) Prec@5 64.844 (63.855) Epoch: [4][1140/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.8325 (2.8836) Prec@1 39.844 (38.526) Prec@5 64.844 (63.869) Epoch: [4][1150/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 2.6205 (2.8836) Prec@1 40.625 (38.515) Prec@5 68.750 (63.879) Epoch: [4][1160/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 3.0333 (2.8838) Prec@1 34.375 (38.513) Prec@5 59.375 (63.868) Epoch: [4][1170/10010] Time 0.338 (0.333) Data 0.000 (0.003) Loss 2.6611 (2.8844) Prec@1 42.188 (38.491) Prec@5 67.969 (63.864) Epoch: [4][1180/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.7657 (2.8841) Prec@1 39.062 (38.498) Prec@5 64.062 (63.872) Epoch: [4][1190/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.8945 (2.8844) Prec@1 35.938 (38.494) Prec@5 64.062 (63.862) Epoch: [4][1200/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 3.0006 (2.8847) Prec@1 35.156 (38.487) Prec@5 55.469 (63.856) Epoch: [4][1210/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.5291 (2.8844) Prec@1 43.750 (38.496) Prec@5 67.188 (63.859) Epoch: [4][1220/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 2.7980 (2.8854) Prec@1 35.938 (38.482) Prec@5 67.969 (63.850) Epoch: [4][1230/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.7149 (2.8846) Prec@1 38.281 (38.493) Prec@5 65.625 (63.865) Epoch: [4][1240/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 2.6611 (2.8852) Prec@1 39.844 (38.486) Prec@5 69.531 (63.854) Epoch: [4][1250/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.9639 (2.8851) Prec@1 35.938 (38.492) Prec@5 67.188 (63.856) Epoch: [4][1260/10010] Time 0.338 (0.333) Data 0.000 (0.003) Loss 2.8075 (2.8854) Prec@1 43.750 (38.495) Prec@5 67.969 (63.853) Epoch: [4][1270/10010] Time 0.310 (0.333) Data 0.000 (0.003) Loss 2.6651 (2.8859) Prec@1 46.875 (38.474) Prec@5 65.625 (63.837) Epoch: [4][1280/10010] Time 0.316 (0.333) Data 0.001 (0.003) Loss 2.8945 (2.8854) Prec@1 42.188 (38.478) Prec@5 67.969 (63.848) Epoch: [4][1290/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.6919 (2.8866) Prec@1 44.531 (38.469) Prec@5 66.406 (63.836) Epoch: [4][1300/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 3.1903 (2.8864) Prec@1 35.156 (38.467) Prec@5 60.938 (63.845) Epoch: [4][1310/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.9476 (2.8872) Prec@1 37.500 (38.450) Prec@5 63.281 (63.831) Epoch: [4][1320/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.8981 (2.8870) Prec@1 38.281 (38.454) Prec@5 58.594 (63.832) Epoch: [4][1330/10010] Time 0.315 (0.332) Data 0.001 (0.003) Loss 2.6018 (2.8871) Prec@1 45.312 (38.464) Prec@5 67.969 (63.832) Epoch: [4][1340/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.1359 (2.8879) Prec@1 32.812 (38.465) Prec@5 62.500 (63.829) Epoch: [4][1350/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 3.2032 (2.8873) Prec@1 33.594 (38.472) Prec@5 60.156 (63.835) Epoch: [4][1360/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.0910 (2.8880) Prec@1 37.500 (38.459) Prec@5 59.375 (63.810) Epoch: [4][1370/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.6325 (2.8890) Prec@1 41.406 (38.444) Prec@5 67.188 (63.788) Epoch: [4][1380/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.9293 (2.8897) Prec@1 35.156 (38.420) Prec@5 64.062 (63.775) Epoch: [4][1390/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.7896 (2.8892) Prec@1 39.062 (38.428) Prec@5 66.406 (63.779) Epoch: [4][1400/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 3.1210 (2.8896) Prec@1 34.375 (38.429) Prec@5 61.719 (63.773) Epoch: [4][1410/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.1894 (2.8902) Prec@1 37.500 (38.405) Prec@5 59.375 (63.760) Epoch: [4][1420/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.9976 (2.8897) Prec@1 39.062 (38.412) Prec@5 60.156 (63.767) Epoch: [4][1430/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 3.1249 (2.8894) Prec@1 38.281 (38.425) Prec@5 60.938 (63.781) Epoch: [4][1440/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.6885 (2.8890) Prec@1 40.625 (38.434) Prec@5 69.531 (63.785) Epoch: [4][1450/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5167 (2.8891) Prec@1 46.094 (38.429) Prec@5 67.969 (63.784) Epoch: [4][1460/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.0428 (2.8888) Prec@1 30.469 (38.428) Prec@5 57.812 (63.791) Epoch: [4][1470/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.9980 (2.8892) Prec@1 33.594 (38.415) Prec@5 62.500 (63.792) Epoch: [4][1480/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.8951 (2.8895) Prec@1 35.938 (38.400) Prec@5 67.969 (63.802) Epoch: [4][1490/10010] Time 0.313 (0.332) Data 0.001 (0.002) Loss 2.9732 (2.8906) Prec@1 33.594 (38.383) Prec@5 62.500 (63.790) Epoch: [4][1500/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.4144 (2.8901) Prec@1 46.875 (38.396) Prec@5 71.094 (63.802) Epoch: [4][1510/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.7239 (2.8897) Prec@1 42.188 (38.395) Prec@5 64.844 (63.808) Epoch: [4][1520/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.8114 (2.8900) Prec@1 40.625 (38.398) Prec@5 61.719 (63.798) Epoch: [4][1530/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8739 (2.8893) Prec@1 41.406 (38.409) Prec@5 70.312 (63.825) Epoch: [4][1540/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.8820 (2.8899) Prec@1 34.375 (38.397) Prec@5 62.500 (63.818) Epoch: [4][1550/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7007 (2.8898) Prec@1 38.281 (38.398) Prec@5 67.969 (63.819) Epoch: [4][1560/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.9021 (2.8899) Prec@1 37.500 (38.396) Prec@5 64.844 (63.826) Epoch: [4][1570/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 3.1497 (2.8905) Prec@1 33.594 (38.381) Prec@5 58.594 (63.813) Epoch: [4][1580/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 3.0381 (2.8898) Prec@1 35.938 (38.390) Prec@5 59.375 (63.821) Epoch: [4][1590/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6630 (2.8895) Prec@1 42.969 (38.400) Prec@5 64.844 (63.829) Epoch: [4][1600/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.8589 (2.8894) Prec@1 40.625 (38.403) Prec@5 62.500 (63.825) Epoch: [4][1610/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 3.0285 (2.8890) Prec@1 35.938 (38.414) Prec@5 60.938 (63.832) Epoch: [4][1620/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.9676 (2.8888) Prec@1 37.500 (38.417) Prec@5 67.188 (63.830) Epoch: [4][1630/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.1322 (2.8885) Prec@1 34.375 (38.413) Prec@5 56.250 (63.838) Epoch: [4][1640/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.8857 (2.8883) Prec@1 34.375 (38.418) Prec@5 64.062 (63.839) Epoch: [4][1650/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8873 (2.8881) Prec@1 38.281 (38.407) Prec@5 64.844 (63.844) Epoch: [4][1660/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6754 (2.8883) Prec@1 38.281 (38.398) Prec@5 70.312 (63.842) Epoch: [4][1670/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.9450 (2.8879) Prec@1 41.406 (38.405) Prec@5 63.281 (63.843) Epoch: [4][1680/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 3.2740 (2.8887) Prec@1 33.594 (38.390) Prec@5 61.719 (63.831) Epoch: [4][1690/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7466 (2.8888) Prec@1 38.281 (38.384) Prec@5 65.625 (63.828) Epoch: [4][1700/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.4943 (2.8886) Prec@1 45.312 (38.389) Prec@5 68.750 (63.834) Epoch: [4][1710/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 3.0258 (2.8884) Prec@1 39.062 (38.397) Prec@5 57.031 (63.824) Epoch: [4][1720/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.7398 (2.8888) Prec@1 36.719 (38.389) Prec@5 64.062 (63.815) Epoch: [4][1730/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7975 (2.8889) Prec@1 43.750 (38.385) Prec@5 67.188 (63.817) Epoch: [4][1740/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.0310 (2.8889) Prec@1 32.031 (38.373) Prec@5 64.844 (63.815) Epoch: [4][1750/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.9890 (2.8892) Prec@1 33.594 (38.366) Prec@5 66.406 (63.806) Epoch: [4][1760/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8379 (2.8895) Prec@1 37.500 (38.361) Prec@5 64.062 (63.800) Epoch: [4][1770/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 3.0301 (2.8894) Prec@1 38.281 (38.361) Prec@5 61.719 (63.797) Epoch: [4][1780/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 3.2533 (2.8896) Prec@1 32.031 (38.357) Prec@5 53.906 (63.787) Epoch: [4][1790/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7195 (2.8894) Prec@1 42.969 (38.344) Prec@5 69.531 (63.794) Epoch: [4][1800/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.8868 (2.8890) Prec@1 42.188 (38.361) Prec@5 62.500 (63.802) Epoch: [4][1810/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.7167 (2.8890) Prec@1 40.625 (38.362) Prec@5 65.625 (63.805) Epoch: [4][1820/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.8869 (2.8886) Prec@1 39.844 (38.363) Prec@5 67.188 (63.809) Epoch: [4][1830/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.9423 (2.8879) Prec@1 41.406 (38.377) Prec@5 66.406 (63.812) Epoch: [4][1840/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7850 (2.8873) Prec@1 39.844 (38.386) Prec@5 67.188 (63.813) Epoch: [4][1850/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.1110 (2.8874) Prec@1 33.594 (38.386) Prec@5 63.281 (63.814) Epoch: [4][1860/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6358 (2.8870) Prec@1 41.406 (38.392) Prec@5 63.281 (63.818) Epoch: [4][1870/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.7956 (2.8868) Prec@1 36.719 (38.395) Prec@5 61.719 (63.813) Epoch: [4][1880/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.7875 (2.8864) Prec@1 35.938 (38.397) Prec@5 68.750 (63.819) Epoch: [4][1890/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.9075 (2.8863) Prec@1 34.375 (38.397) Prec@5 63.281 (63.823) Epoch: [4][1900/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6502 (2.8863) Prec@1 42.188 (38.405) Prec@5 63.281 (63.820) Epoch: [4][1910/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 3.1259 (2.8869) Prec@1 35.156 (38.397) Prec@5 51.562 (63.807) Epoch: [4][1920/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 3.1118 (2.8870) Prec@1 32.031 (38.389) Prec@5 59.375 (63.809) Epoch: [4][1930/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7426 (2.8871) Prec@1 42.969 (38.391) Prec@5 66.406 (63.808) Epoch: [4][1940/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.9695 (2.8865) Prec@1 35.156 (38.399) Prec@5 62.500 (63.820) Epoch: [4][1950/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.6547 (2.8863) Prec@1 39.844 (38.404) Prec@5 70.312 (63.831) Epoch: [4][1960/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 3.1957 (2.8858) Prec@1 35.156 (38.414) Prec@5 56.250 (63.837) Epoch: [4][1970/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6623 (2.8856) Prec@1 45.312 (38.420) Prec@5 66.406 (63.840) Epoch: [4][1980/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 2.8814 (2.8853) Prec@1 42.969 (38.420) Prec@5 61.719 (63.845) Epoch: [4][1990/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.8748 (2.8851) Prec@1 40.625 (38.424) Prec@5 61.719 (63.848) Epoch: [4][2000/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.8455 (2.8847) Prec@1 41.406 (38.428) Prec@5 60.938 (63.856) Epoch: [4][2010/10010] Time 0.299 (0.332) Data 0.002 (0.002) Loss 2.7412 (2.8848) Prec@1 36.719 (38.430) Prec@5 67.188 (63.854) Epoch: [4][2020/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7116 (2.8845) Prec@1 40.625 (38.445) Prec@5 65.625 (63.857) Epoch: [4][2030/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.9109 (2.8839) Prec@1 38.281 (38.456) Prec@5 64.062 (63.864) Epoch: [4][2040/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.8675 (2.8837) Prec@1 39.844 (38.460) Prec@5 64.844 (63.864) Epoch: [4][2050/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 3.0744 (2.8837) Prec@1 32.812 (38.455) Prec@5 60.156 (63.858) Epoch: [4][2060/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.7694 (2.8829) Prec@1 41.406 (38.472) Prec@5 63.281 (63.867) Epoch: [4][2070/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.9288 (2.8826) Prec@1 40.625 (38.477) Prec@5 64.844 (63.876) Epoch: [4][2080/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.8148 (2.8824) Prec@1 42.188 (38.482) Prec@5 66.406 (63.874) Epoch: [4][2090/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.9285 (2.8825) Prec@1 35.156 (38.475) Prec@5 57.031 (63.864) Epoch: [4][2100/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 3.2605 (2.8827) Prec@1 33.594 (38.470) Prec@5 60.938 (63.860) Epoch: [4][2110/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.9706 (2.8830) Prec@1 42.969 (38.479) Prec@5 64.844 (63.851) Epoch: [4][2120/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 3.0347 (2.8833) Prec@1 36.719 (38.474) Prec@5 61.719 (63.848) Epoch: [4][2130/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.8580 (2.8833) Prec@1 38.281 (38.468) Prec@5 67.188 (63.853) Epoch: [4][2140/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 3.0013 (2.8830) Prec@1 32.812 (38.462) Prec@5 67.969 (63.859) Epoch: [4][2150/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.9942 (2.8832) Prec@1 39.062 (38.461) Prec@5 62.500 (63.853) Epoch: [4][2160/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.7423 (2.8832) Prec@1 41.406 (38.462) Prec@5 64.844 (63.848) Epoch: [4][2170/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 3.1881 (2.8832) Prec@1 34.375 (38.460) Prec@5 59.375 (63.853) Epoch: [4][2180/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 3.1980 (2.8835) Prec@1 34.375 (38.459) Prec@5 61.719 (63.849) Epoch: [4][2190/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 3.1119 (2.8836) Prec@1 37.500 (38.458) Prec@5 62.500 (63.844) Epoch: [4][2200/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.4800 (2.8830) Prec@1 41.406 (38.468) Prec@5 73.438 (63.853) Epoch: [4][2210/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.8760 (2.8829) Prec@1 38.281 (38.467) Prec@5 63.281 (63.856) Epoch: [4][2220/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 2.7049 (2.8827) Prec@1 46.094 (38.469) Prec@5 68.750 (63.861) Epoch: [4][2230/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 3.0557 (2.8834) Prec@1 41.406 (38.465) Prec@5 60.156 (63.845) Epoch: [4][2240/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.7368 (2.8834) Prec@1 39.844 (38.455) Prec@5 71.094 (63.846) Epoch: [4][2250/10010] Time 0.311 (0.331) Data 0.001 (0.002) Loss 3.4558 (2.8840) Prec@1 31.250 (38.452) Prec@5 53.125 (63.834) Epoch: [4][2260/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.9497 (2.8842) Prec@1 37.500 (38.443) Prec@5 64.062 (63.834) Epoch: [4][2270/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.8509 (2.8841) Prec@1 37.500 (38.439) Prec@5 64.844 (63.839) Epoch: [4][2280/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.8715 (2.8844) Prec@1 41.406 (38.437) Prec@5 65.625 (63.834) Epoch: [4][2290/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.8981 (2.8845) Prec@1 35.156 (38.430) Prec@5 62.500 (63.834) Epoch: [4][2300/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.7861 (2.8846) Prec@1 40.625 (38.429) Prec@5 62.500 (63.829) Epoch: [4][2310/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.9214 (2.8845) Prec@1 42.188 (38.437) Prec@5 62.500 (63.828) Epoch: [4][2320/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 3.1489 (2.8843) Prec@1 35.938 (38.439) Prec@5 59.375 (63.832) Epoch: [4][2330/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 3.0549 (2.8848) Prec@1 35.156 (38.430) Prec@5 60.156 (63.822) Epoch: [4][2340/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.8259 (2.8847) Prec@1 39.844 (38.437) Prec@5 64.062 (63.825) Epoch: [4][2350/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.7266 (2.8847) Prec@1 41.406 (38.436) Prec@5 64.062 (63.824) Epoch: [4][2360/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.7413 (2.8847) Prec@1 38.281 (38.435) Prec@5 62.500 (63.823) Epoch: [4][2370/10010] Time 0.348 (0.331) Data 0.000 (0.002) Loss 2.8906 (2.8844) Prec@1 33.594 (38.434) Prec@5 61.719 (63.823) Epoch: [4][2380/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.5502 (2.8842) Prec@1 42.188 (38.432) Prec@5 72.656 (63.833) Epoch: [4][2390/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.7849 (2.8842) Prec@1 35.938 (38.427) Prec@5 63.281 (63.833) Epoch: [4][2400/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 2.5665 (2.8835) Prec@1 46.094 (38.432) Prec@5 71.094 (63.838) Epoch: [4][2410/10010] Time 0.352 (0.331) Data 0.001 (0.002) Loss 3.0908 (2.8836) Prec@1 32.812 (38.434) Prec@5 64.062 (63.840) Epoch: [4][2420/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.7573 (2.8833) Prec@1 40.625 (38.437) Prec@5 67.188 (63.841) Epoch: [4][2430/10010] Time 0.346 (0.331) Data 0.001 (0.002) Loss 2.4494 (2.8831) Prec@1 39.844 (38.439) Prec@5 71.875 (63.846) Epoch: [4][2440/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 3.0551 (2.8830) Prec@1 33.594 (38.437) Prec@5 62.500 (63.851) Epoch: [4][2450/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.9107 (2.8827) Prec@1 42.969 (38.442) Prec@5 59.375 (63.855) Epoch: [4][2460/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.8860 (2.8826) Prec@1 33.594 (38.445) Prec@5 63.281 (63.855) Epoch: [4][2470/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.9702 (2.8826) Prec@1 31.250 (38.450) Prec@5 61.719 (63.856) Epoch: [4][2480/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.7805 (2.8825) Prec@1 41.406 (38.454) Prec@5 64.062 (63.855) Epoch: [4][2490/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.8793 (2.8825) Prec@1 35.938 (38.456) Prec@5 62.500 (63.861) Epoch: [4][2500/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.9061 (2.8830) Prec@1 35.938 (38.451) Prec@5 65.625 (63.854) Epoch: [4][2510/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.7148 (2.8827) Prec@1 42.969 (38.463) Prec@5 67.969 (63.860) Epoch: [4][2520/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.8801 (2.8824) Prec@1 39.844 (38.459) Prec@5 64.062 (63.864) Epoch: [4][2530/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 2.6239 (2.8821) Prec@1 46.094 (38.463) Prec@5 67.188 (63.868) Epoch: [4][2540/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.4347 (2.8821) Prec@1 46.875 (38.460) Prec@5 71.094 (63.872) Epoch: [4][2550/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.9842 (2.8824) Prec@1 36.719 (38.455) Prec@5 60.156 (63.866) Epoch: [4][2560/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.8586 (2.8821) Prec@1 37.500 (38.462) Prec@5 62.500 (63.867) Epoch: [4][2570/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.6671 (2.8820) Prec@1 40.625 (38.471) Prec@5 64.062 (63.866) Epoch: [4][2580/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.8445 (2.8824) Prec@1 38.281 (38.463) Prec@5 61.719 (63.859) Epoch: [4][2590/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.8861 (2.8826) Prec@1 38.281 (38.460) Prec@5 64.844 (63.857) Epoch: [4][2600/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.9755 (2.8824) Prec@1 34.375 (38.461) Prec@5 60.938 (63.861) Epoch: [4][2610/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 3.0126 (2.8823) Prec@1 33.594 (38.467) Prec@5 64.062 (63.868) Epoch: [4][2620/10010] Time 0.316 (0.331) Data 0.000 (0.002) Loss 2.4008 (2.8824) Prec@1 46.875 (38.465) Prec@5 72.656 (63.867) Epoch: [4][2630/10010] Time 0.350 (0.331) Data 0.000 (0.002) Loss 3.1482 (2.8824) Prec@1 35.156 (38.467) Prec@5 58.594 (63.867) Epoch: [4][2640/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.4709 (2.8822) Prec@1 41.406 (38.472) Prec@5 71.094 (63.869) Epoch: [4][2650/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.6585 (2.8826) Prec@1 41.406 (38.467) Prec@5 65.625 (63.867) Epoch: [4][2660/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 3.2506 (2.8825) Prec@1 35.156 (38.474) Prec@5 56.250 (63.868) Epoch: [4][2670/10010] Time 0.348 (0.331) Data 0.001 (0.002) Loss 2.7349 (2.8822) Prec@1 41.406 (38.474) Prec@5 67.188 (63.876) Epoch: [4][2680/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 3.0279 (2.8819) Prec@1 35.156 (38.478) Prec@5 65.625 (63.877) Epoch: [4][2690/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7649 (2.8819) Prec@1 35.938 (38.473) Prec@5 60.938 (63.881) Epoch: [4][2700/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.9407 (2.8820) Prec@1 39.062 (38.468) Prec@5 64.844 (63.878) Epoch: [4][2710/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 3.2043 (2.8824) Prec@1 30.469 (38.459) Prec@5 56.250 (63.866) Epoch: [4][2720/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.7930 (2.8821) Prec@1 33.594 (38.468) Prec@5 64.844 (63.871) Epoch: [4][2730/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.8235 (2.8818) Prec@1 42.969 (38.475) Prec@5 65.625 (63.875) Epoch: [4][2740/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.9787 (2.8817) Prec@1 34.375 (38.474) Prec@5 62.500 (63.873) Epoch: [4][2750/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.8477 (2.8819) Prec@1 39.844 (38.468) Prec@5 64.062 (63.868) Epoch: [4][2760/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.7856 (2.8816) Prec@1 41.406 (38.470) Prec@5 62.500 (63.872) Epoch: [4][2770/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.9505 (2.8818) Prec@1 32.812 (38.458) Prec@5 62.500 (63.870) Epoch: [4][2780/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.9654 (2.8821) Prec@1 35.938 (38.454) Prec@5 58.594 (63.868) Epoch: [4][2790/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.7978 (2.8819) Prec@1 46.094 (38.457) Prec@5 65.625 (63.873) Epoch: [4][2800/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.7576 (2.8814) Prec@1 37.500 (38.460) Prec@5 63.281 (63.882) Epoch: [4][2810/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.8505 (2.8810) Prec@1 35.938 (38.470) Prec@5 63.281 (63.890) Epoch: [4][2820/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.6122 (2.8804) Prec@1 39.844 (38.474) Prec@5 67.969 (63.901) Epoch: [4][2830/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.6554 (2.8803) Prec@1 37.500 (38.476) Prec@5 60.938 (63.899) Epoch: [4][2840/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.5406 (2.8804) Prec@1 42.188 (38.471) Prec@5 71.094 (63.900) Epoch: [4][2850/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.7805 (2.8804) Prec@1 42.188 (38.470) Prec@5 63.281 (63.895) Epoch: [4][2860/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.5458 (2.8806) Prec@1 44.531 (38.467) Prec@5 75.781 (63.894) Epoch: [4][2870/10010] Time 0.346 (0.331) Data 0.001 (0.002) Loss 2.6621 (2.8802) Prec@1 40.625 (38.470) Prec@5 64.062 (63.901) Epoch: [4][2880/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 3.1453 (2.8807) Prec@1 33.594 (38.461) Prec@5 62.500 (63.894) Epoch: [4][2890/10010] Time 0.304 (0.331) Data 0.001 (0.002) Loss 3.1739 (2.8807) Prec@1 36.719 (38.459) Prec@5 62.500 (63.898) Epoch: [4][2900/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.6871 (2.8807) Prec@1 39.062 (38.462) Prec@5 72.656 (63.903) Epoch: [4][2910/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9222 (2.8806) Prec@1 38.281 (38.466) Prec@5 59.375 (63.903) Epoch: [4][2920/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8544 (2.8805) Prec@1 39.062 (38.471) Prec@5 65.625 (63.901) Epoch: [4][2930/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.1063 (2.8809) Prec@1 30.469 (38.462) Prec@5 57.031 (63.899) Epoch: [4][2940/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.1089 (2.8812) Prec@1 39.062 (38.461) Prec@5 56.250 (63.891) Epoch: [4][2950/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6213 (2.8813) Prec@1 39.844 (38.455) Prec@5 67.969 (63.888) Epoch: [4][2960/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5646 (2.8811) Prec@1 43.750 (38.455) Prec@5 67.188 (63.897) Epoch: [4][2970/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8970 (2.8814) Prec@1 35.938 (38.446) Prec@5 61.719 (63.896) Epoch: [4][2980/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7052 (2.8813) Prec@1 46.094 (38.451) Prec@5 63.281 (63.892) Epoch: [4][2990/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9443 (2.8814) Prec@1 38.281 (38.449) Prec@5 64.062 (63.887) Epoch: [4][3000/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7482 (2.8814) Prec@1 39.062 (38.449) Prec@5 67.969 (63.886) Epoch: [4][3010/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8969 (2.8818) Prec@1 39.844 (38.441) Prec@5 63.281 (63.879) /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: [4][3020/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7598 (2.8818) Prec@1 42.188 (38.443) Prec@5 63.281 (63.880) Epoch: [4][3030/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.1200 (2.8817) Prec@1 34.375 (38.446) Prec@5 63.281 (63.884) Epoch: [4][3040/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7663 (2.8817) Prec@1 38.281 (38.444) Prec@5 64.062 (63.880) Epoch: [4][3050/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9988 (2.8816) Prec@1 39.062 (38.444) Prec@5 61.719 (63.879) Epoch: [4][3060/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.1192 (2.8815) Prec@1 33.594 (38.448) Prec@5 57.031 (63.881) Epoch: [4][3070/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 3.0144 (2.8819) Prec@1 35.938 (38.441) Prec@5 61.719 (63.871) Epoch: [4][3080/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4979 (2.8814) Prec@1 39.062 (38.453) Prec@5 73.438 (63.881) Epoch: [4][3090/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9237 (2.8813) Prec@1 43.750 (38.460) Prec@5 64.062 (63.882) Epoch: [4][3100/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.2271 (2.8813) Prec@1 32.812 (38.455) Prec@5 57.031 (63.880) Epoch: [4][3110/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7205 (2.8812) Prec@1 39.844 (38.455) Prec@5 67.188 (63.880) Epoch: [4][3120/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.1913 (2.8811) Prec@1 36.719 (38.457) Prec@5 60.938 (63.885) Epoch: [4][3130/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7610 (2.8809) Prec@1 40.625 (38.465) Prec@5 64.062 (63.891) Epoch: [4][3140/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7233 (2.8808) Prec@1 40.625 (38.467) Prec@5 66.406 (63.893) Epoch: [4][3150/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0705 (2.8808) Prec@1 24.219 (38.467) Prec@5 60.156 (63.892) Epoch: [4][3160/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8372 (2.8805) Prec@1 42.188 (38.474) Prec@5 67.188 (63.899) Epoch: [4][3170/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0393 (2.8804) Prec@1 35.156 (38.475) Prec@5 63.281 (63.902) Epoch: [4][3180/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8771 (2.8805) Prec@1 38.281 (38.473) Prec@5 63.281 (63.899) Epoch: [4][3190/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0077 (2.8810) Prec@1 35.938 (38.461) Prec@5 61.719 (63.888) Epoch: [4][3200/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8041 (2.8814) Prec@1 41.406 (38.453) Prec@5 65.625 (63.882) Epoch: [4][3210/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.9524 (2.8813) Prec@1 37.500 (38.451) Prec@5 66.406 (63.886) Epoch: [4][3220/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.1826 (2.8815) Prec@1 33.594 (38.445) Prec@5 66.406 (63.881) Epoch: [4][3230/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.6252 (2.8813) Prec@1 41.406 (38.449) Prec@5 71.875 (63.887) Epoch: [4][3240/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6687 (2.8812) Prec@1 37.500 (38.449) Prec@5 65.625 (63.889) Epoch: [4][3250/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5323 (2.8814) Prec@1 39.062 (38.447) Prec@5 68.750 (63.886) Epoch: [4][3260/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0359 (2.8813) Prec@1 34.375 (38.448) Prec@5 60.938 (63.886) Epoch: [4][3270/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.4543 (2.8815) Prec@1 29.688 (38.448) Prec@5 57.812 (63.886) Epoch: [4][3280/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7014 (2.8814) Prec@1 42.188 (38.450) Prec@5 62.500 (63.886) Epoch: [4][3290/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9248 (2.8813) Prec@1 46.094 (38.461) Prec@5 62.500 (63.888) Epoch: [4][3300/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7029 (2.8812) Prec@1 40.625 (38.463) Prec@5 66.406 (63.886) Epoch: [4][3310/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5418 (2.8816) Prec@1 42.188 (38.458) Prec@5 67.969 (63.876) Epoch: [4][3320/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0170 (2.8816) Prec@1 39.844 (38.452) Prec@5 58.594 (63.878) Epoch: [4][3330/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9742 (2.8817) Prec@1 35.938 (38.448) Prec@5 62.500 (63.882) Epoch: [4][3340/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9326 (2.8817) Prec@1 37.500 (38.451) Prec@5 60.938 (63.883) Epoch: [4][3350/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9151 (2.8818) Prec@1 34.375 (38.449) Prec@5 69.531 (63.883) Epoch: [4][3360/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5410 (2.8816) Prec@1 46.875 (38.453) Prec@5 71.094 (63.886) /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: [4][3370/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7430 (2.8816) Prec@1 40.625 (38.453) Prec@5 64.844 (63.886) Epoch: [4][3380/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 3.0778 (2.8814) Prec@1 41.406 (38.454) Prec@5 59.375 (63.887) Epoch: [4][3390/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0156 (2.8817) Prec@1 40.625 (38.447) Prec@5 59.375 (63.881) Epoch: [4][3400/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4901 (2.8818) Prec@1 44.531 (38.443) Prec@5 69.531 (63.878) Epoch: [4][3410/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8418 (2.8818) Prec@1 42.969 (38.441) Prec@5 61.719 (63.880) Epoch: [4][3420/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.9592 (2.8820) Prec@1 32.812 (38.437) Prec@5 64.844 (63.882) Epoch: [4][3430/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.0071 (2.8821) Prec@1 36.719 (38.433) Prec@5 58.594 (63.879) Epoch: [4][3440/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9193 (2.8823) Prec@1 37.500 (38.428) Prec@5 62.500 (63.877) Epoch: [4][3450/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.5358 (2.8822) Prec@1 45.312 (38.431) Prec@5 69.531 (63.879) Epoch: [4][3460/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.2678 (2.8822) Prec@1 35.938 (38.432) Prec@5 58.594 (63.881) Epoch: [4][3470/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 2.8424 (2.8824) Prec@1 39.062 (38.428) Prec@5 66.406 (63.874) Epoch: [4][3480/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5641 (2.8821) Prec@1 45.312 (38.430) Prec@5 65.625 (63.879) Epoch: [4][3490/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5943 (2.8821) Prec@1 43.750 (38.432) Prec@5 64.844 (63.878) Epoch: [4][3500/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 3.4590 (2.8824) Prec@1 33.594 (38.431) Prec@5 54.688 (63.874) Epoch: [4][3510/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7622 (2.8826) Prec@1 37.500 (38.428) Prec@5 64.844 (63.872) Epoch: [4][3520/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.1701 (2.8824) Prec@1 32.812 (38.432) Prec@5 56.250 (63.873) Epoch: [4][3530/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9392 (2.8825) Prec@1 32.812 (38.427) Prec@5 62.500 (63.873) Epoch: [4][3540/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8810 (2.8823) Prec@1 39.062 (38.434) Prec@5 62.500 (63.876) Epoch: [4][3550/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7668 (2.8822) Prec@1 41.406 (38.435) Prec@5 67.969 (63.876) Epoch: [4][3560/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7840 (2.8818) Prec@1 39.062 (38.440) Prec@5 64.844 (63.885) Epoch: [4][3570/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9124 (2.8818) Prec@1 40.625 (38.438) Prec@5 61.719 (63.888) Epoch: [4][3580/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.1857 (2.8823) Prec@1 37.500 (38.429) Prec@5 55.469 (63.878) Epoch: [4][3590/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.3375 (2.8827) Prec@1 35.156 (38.423) Prec@5 57.031 (63.877) Epoch: [4][3600/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5534 (2.8826) Prec@1 38.281 (38.421) Prec@5 69.531 (63.880) Epoch: [4][3610/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6763 (2.8827) Prec@1 40.625 (38.419) Prec@5 67.969 (63.880) Epoch: [4][3620/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.1828 (2.8830) Prec@1 28.125 (38.411) Prec@5 60.156 (63.871) Epoch: [4][3630/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9259 (2.8830) Prec@1 38.281 (38.412) Prec@5 57.812 (63.867) Epoch: [4][3640/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0898 (2.8831) Prec@1 35.938 (38.414) Prec@5 57.812 (63.867) Epoch: [4][3650/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9236 (2.8830) Prec@1 39.844 (38.418) Prec@5 63.281 (63.869) Epoch: [4][3660/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7458 (2.8830) Prec@1 39.844 (38.416) Prec@5 67.969 (63.869) Epoch: [4][3670/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0236 (2.8829) Prec@1 37.500 (38.420) Prec@5 57.812 (63.869) Epoch: [4][3680/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 2.8147 (2.8832) Prec@1 39.062 (38.416) Prec@5 64.062 (63.863) Epoch: [4][3690/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6488 (2.8830) Prec@1 42.969 (38.418) Prec@5 65.625 (63.868) Epoch: [4][3700/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0353 (2.8830) Prec@1 36.719 (38.418) Prec@5 64.844 (63.875) Epoch: [4][3710/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0714 (2.8832) Prec@1 33.594 (38.417) Prec@5 63.281 (63.874) Epoch: [4][3720/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.1471 (2.8832) Prec@1 34.375 (38.419) Prec@5 60.156 (63.870) Epoch: [4][3730/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7906 (2.8831) Prec@1 39.062 (38.414) Prec@5 69.531 (63.871) Epoch: [4][3740/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.3286 (2.8830) Prec@1 35.938 (38.415) Prec@5 60.156 (63.876) Epoch: [4][3750/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 3.2162 (2.8829) Prec@1 36.719 (38.417) Prec@5 60.156 (63.881) Epoch: [4][3760/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8214 (2.8827) Prec@1 44.531 (38.422) Prec@5 64.844 (63.882) Epoch: [4][3770/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5428 (2.8829) Prec@1 50.781 (38.422) Prec@5 68.750 (63.879) Epoch: [4][3780/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7843 (2.8828) Prec@1 35.156 (38.428) Prec@5 63.281 (63.881) Epoch: [4][3790/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8970 (2.8824) Prec@1 39.844 (38.434) Prec@5 67.188 (63.884) Epoch: [4][3800/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.2654 (2.8824) Prec@1 33.594 (38.439) Prec@5 60.156 (63.885) Epoch: [4][3810/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7459 (2.8827) Prec@1 39.062 (38.431) Prec@5 64.844 (63.880) Epoch: [4][3820/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6702 (2.8828) Prec@1 46.094 (38.432) Prec@5 68.750 (63.877) Epoch: [4][3830/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8430 (2.8825) Prec@1 39.844 (38.438) Prec@5 69.531 (63.884) Epoch: [4][3840/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9141 (2.8822) Prec@1 30.469 (38.445) Prec@5 62.500 (63.887) Epoch: [4][3850/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0763 (2.8823) Prec@1 40.625 (38.445) Prec@5 59.375 (63.885) Epoch: [4][3860/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4836 (2.8822) Prec@1 44.531 (38.451) Prec@5 65.625 (63.888) Epoch: [4][3870/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.2478 (2.8822) Prec@1 28.125 (38.451) Prec@5 60.156 (63.890) Epoch: [4][3880/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9216 (2.8824) Prec@1 40.625 (38.448) Prec@5 64.062 (63.888) Epoch: [4][3890/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.1697 (2.8826) Prec@1 34.375 (38.446) Prec@5 59.375 (63.885) Epoch: [4][3900/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7952 (2.8826) Prec@1 34.375 (38.445) Prec@5 65.625 (63.885) Epoch: [4][3910/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6913 (2.8825) Prec@1 40.625 (38.447) Prec@5 67.188 (63.887) Epoch: [4][3920/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5833 (2.8824) Prec@1 40.625 (38.449) Prec@5 69.531 (63.888) Epoch: [4][3930/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8420 (2.8822) Prec@1 35.156 (38.451) Prec@5 60.938 (63.891) Epoch: [4][3940/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9141 (2.8822) Prec@1 36.719 (38.451) Prec@5 63.281 (63.891) Epoch: [4][3950/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9899 (2.8820) Prec@1 39.062 (38.457) Prec@5 60.938 (63.894) Epoch: [4][3960/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8497 (2.8820) Prec@1 39.062 (38.460) Prec@5 65.625 (63.895) Epoch: [4][3970/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6244 (2.8822) Prec@1 41.406 (38.452) Prec@5 67.969 (63.891) Epoch: [4][3980/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.3514 (2.8824) Prec@1 29.688 (38.451) Prec@5 58.594 (63.890) Epoch: [4][3990/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8201 (2.8821) Prec@1 35.156 (38.454) Prec@5 67.188 (63.896) Epoch: [4][4000/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2385 (2.8820) Prec@1 46.094 (38.454) Prec@5 75.781 (63.899) Epoch: [4][4010/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 3.0885 (2.8819) Prec@1 37.500 (38.457) Prec@5 61.719 (63.901) Epoch: [4][4020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7006 (2.8818) Prec@1 43.750 (38.459) Prec@5 64.844 (63.904) Epoch: [4][4030/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8958 (2.8817) Prec@1 32.031 (38.459) Prec@5 60.938 (63.906) /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: [4][4040/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6273 (2.8816) Prec@1 42.188 (38.461) Prec@5 68.750 (63.908) Epoch: [4][4050/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9484 (2.8815) Prec@1 38.281 (38.466) Prec@5 64.844 (63.910) Epoch: [4][4060/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.0621 (2.8815) Prec@1 38.281 (38.464) Prec@5 60.938 (63.910) Epoch: [4][4070/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8200 (2.8817) Prec@1 42.188 (38.465) Prec@5 64.844 (63.908) Epoch: [4][4080/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7692 (2.8816) Prec@1 43.750 (38.463) Prec@5 70.312 (63.909) Epoch: [4][4090/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7892 (2.8815) Prec@1 36.719 (38.463) Prec@5 66.406 (63.913) Epoch: [4][4100/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9215 (2.8815) Prec@1 36.719 (38.467) Prec@5 65.625 (63.914) Epoch: [4][4110/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8428 (2.8813) Prec@1 38.281 (38.467) Prec@5 64.844 (63.918) Epoch: [4][4120/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9689 (2.8815) Prec@1 35.938 (38.464) Prec@5 64.062 (63.915) Epoch: [4][4130/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0904 (2.8811) Prec@1 33.594 (38.473) Prec@5 60.938 (63.922) Epoch: [4][4140/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9052 (2.8808) Prec@1 35.156 (38.479) Prec@5 61.719 (63.926) Epoch: [4][4150/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9679 (2.8808) Prec@1 39.844 (38.481) Prec@5 59.375 (63.922) Epoch: [4][4160/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.1386 (2.8808) Prec@1 34.375 (38.477) Prec@5 60.938 (63.925) Epoch: [4][4170/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7926 (2.8806) Prec@1 46.875 (38.481) Prec@5 62.500 (63.923) Epoch: [4][4180/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9357 (2.8802) Prec@1 39.062 (38.489) Prec@5 61.719 (63.933) Epoch: [4][4190/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6293 (2.8806) Prec@1 42.188 (38.482) Prec@5 75.000 (63.927) Epoch: [4][4200/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.5327 (2.8806) Prec@1 30.469 (38.484) Prec@5 53.906 (63.923) Epoch: [4][4210/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.0728 (2.8804) Prec@1 31.250 (38.488) Prec@5 60.156 (63.927) Epoch: [4][4220/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9835 (2.8806) Prec@1 36.719 (38.485) Prec@5 57.812 (63.923) Epoch: [4][4230/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5977 (2.8811) Prec@1 39.844 (38.477) Prec@5 67.969 (63.913) Epoch: [4][4240/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8693 (2.8807) Prec@1 44.531 (38.485) Prec@5 64.844 (63.922) Epoch: [4][4250/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0893 (2.8806) Prec@1 35.938 (38.486) Prec@5 61.719 (63.923) Epoch: [4][4260/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6554 (2.8806) Prec@1 46.875 (38.488) Prec@5 64.062 (63.921) Epoch: [4][4270/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0456 (2.8806) Prec@1 35.156 (38.487) Prec@5 60.938 (63.922) Epoch: [4][4280/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6030 (2.8808) Prec@1 41.406 (38.483) Prec@5 69.531 (63.920) Epoch: [4][4290/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8911 (2.8810) Prec@1 44.531 (38.482) Prec@5 63.281 (63.916) Epoch: [4][4300/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8367 (2.8810) Prec@1 41.406 (38.484) Prec@5 60.938 (63.919) Epoch: [4][4310/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.2695 (2.8807) Prec@1 31.250 (38.490) Prec@5 58.594 (63.927) Epoch: [4][4320/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9990 (2.8807) Prec@1 38.281 (38.492) Prec@5 64.844 (63.927) Epoch: [4][4330/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7181 (2.8806) Prec@1 46.094 (38.494) Prec@5 67.969 (63.930) Epoch: [4][4340/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.4735 (2.8807) Prec@1 25.781 (38.489) Prec@5 50.000 (63.927) Epoch: [4][4350/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9242 (2.8811) Prec@1 37.500 (38.483) Prec@5 60.156 (63.921) Epoch: [4][4360/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8258 (2.8809) Prec@1 37.500 (38.484) Prec@5 65.625 (63.922) Epoch: [4][4370/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.1213 (2.8810) Prec@1 41.406 (38.483) Prec@5 62.500 (63.922) Epoch: [4][4380/10010] Time 0.335 (0.331) Data 0.003 (0.001) Loss 2.8054 (2.8810) Prec@1 38.281 (38.477) Prec@5 62.500 (63.922) Epoch: [4][4390/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.3296 (2.8811) Prec@1 32.031 (38.474) Prec@5 57.812 (63.920) Epoch: [4][4400/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0952 (2.8810) Prec@1 35.938 (38.478) Prec@5 57.812 (63.920) Epoch: [4][4410/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 2.7254 (2.8811) Prec@1 46.094 (38.477) Prec@5 66.406 (63.921) Epoch: [4][4420/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7763 (2.8810) Prec@1 42.969 (38.479) Prec@5 62.500 (63.923) Epoch: [4][4430/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8328 (2.8809) Prec@1 42.969 (38.483) Prec@5 64.844 (63.923) Epoch: [4][4440/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9255 (2.8808) Prec@1 35.938 (38.484) Prec@5 65.625 (63.927) Epoch: [4][4450/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6704 (2.8808) Prec@1 47.656 (38.482) Prec@5 71.094 (63.925) Epoch: [4][4460/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9628 (2.8807) Prec@1 43.750 (38.487) Prec@5 65.625 (63.929) Epoch: [4][4470/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7138 (2.8806) Prec@1 42.188 (38.494) Prec@5 67.188 (63.932) Epoch: [4][4480/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4201 (2.8806) Prec@1 45.312 (38.498) Prec@5 71.094 (63.932) Epoch: [4][4490/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9632 (2.8805) Prec@1 37.500 (38.498) Prec@5 64.844 (63.938) Epoch: [4][4500/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.2837 (2.8806) Prec@1 32.031 (38.497) Prec@5 58.594 (63.937) Epoch: [4][4510/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.0345 (2.8808) Prec@1 38.281 (38.496) Prec@5 62.500 (63.932) Epoch: [4][4520/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9496 (2.8809) Prec@1 37.500 (38.494) Prec@5 65.625 (63.930) Epoch: [4][4530/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.0152 (2.8809) Prec@1 39.844 (38.492) Prec@5 58.594 (63.925) Epoch: [4][4540/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9692 (2.8811) Prec@1 34.375 (38.489) Prec@5 64.062 (63.921) Epoch: [4][4550/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8602 (2.8810) Prec@1 39.062 (38.493) Prec@5 67.188 (63.926) Epoch: [4][4560/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9666 (2.8810) Prec@1 36.719 (38.497) Prec@5 61.719 (63.928) Epoch: [4][4570/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5465 (2.8810) Prec@1 43.750 (38.499) Prec@5 71.875 (63.923) Epoch: [4][4580/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9663 (2.8808) Prec@1 37.500 (38.504) Prec@5 60.938 (63.927) Epoch: [4][4590/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7841 (2.8809) Prec@1 46.094 (38.503) Prec@5 61.719 (63.926) Epoch: [4][4600/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0353 (2.8808) Prec@1 37.500 (38.503) Prec@5 61.719 (63.928) Epoch: [4][4610/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8343 (2.8808) Prec@1 40.625 (38.504) Prec@5 64.844 (63.926) Epoch: [4][4620/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9304 (2.8809) Prec@1 37.500 (38.501) Prec@5 60.938 (63.923) Epoch: [4][4630/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.2989 (2.8809) Prec@1 32.031 (38.500) Prec@5 57.031 (63.924) Epoch: [4][4640/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.3348 (2.8811) Prec@1 28.906 (38.497) Prec@5 52.344 (63.921) Epoch: [4][4650/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.1091 (2.8812) Prec@1 33.594 (38.496) Prec@5 61.719 (63.922) Epoch: [4][4660/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8267 (2.8813) Prec@1 41.406 (38.495) Prec@5 60.938 (63.918) Epoch: [4][4670/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8108 (2.8812) Prec@1 37.500 (38.494) Prec@5 64.062 (63.920) Epoch: [4][4680/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.1163 (2.8814) Prec@1 32.031 (38.493) Prec@5 60.156 (63.919) Epoch: [4][4690/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6215 (2.8812) Prec@1 39.844 (38.496) Prec@5 67.188 (63.919) Epoch: [4][4700/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7922 (2.8812) Prec@1 33.594 (38.493) Prec@5 71.094 (63.918) /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: [4][4710/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6874 (2.8814) Prec@1 43.750 (38.491) Prec@5 67.188 (63.913) Epoch: [4][4720/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8304 (2.8813) Prec@1 40.625 (38.492) Prec@5 70.312 (63.919) Epoch: [4][4730/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6449 (2.8810) Prec@1 42.969 (38.495) Prec@5 68.750 (63.923) Epoch: [4][4740/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0008 (2.8810) Prec@1 42.969 (38.494) Prec@5 63.281 (63.925) Epoch: [4][4750/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7972 (2.8809) Prec@1 41.406 (38.492) Prec@5 68.750 (63.925) Epoch: [4][4760/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7763 (2.8809) Prec@1 42.969 (38.491) Prec@5 61.719 (63.924) Epoch: [4][4770/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.9086 (2.8808) Prec@1 38.281 (38.491) Prec@5 61.719 (63.923) Epoch: [4][4780/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0913 (2.8807) Prec@1 39.062 (38.495) Prec@5 61.719 (63.925) Epoch: [4][4790/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7972 (2.8807) Prec@1 40.625 (38.495) Prec@5 64.062 (63.928) Epoch: [4][4800/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.0700 (2.8808) Prec@1 35.156 (38.493) Prec@5 57.812 (63.925) Epoch: [4][4810/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.9117 (2.8807) Prec@1 41.406 (38.500) Prec@5 65.625 (63.926) Epoch: [4][4820/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8727 (2.8807) Prec@1 39.062 (38.500) Prec@5 64.062 (63.926) Epoch: [4][4830/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6234 (2.8807) Prec@1 42.969 (38.501) Prec@5 66.406 (63.925) Epoch: [4][4840/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9016 (2.8805) Prec@1 35.938 (38.500) Prec@5 61.719 (63.930) Epoch: [4][4850/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7274 (2.8804) Prec@1 43.750 (38.503) Prec@5 67.188 (63.934) Epoch: [4][4860/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8304 (2.8806) Prec@1 39.062 (38.504) Prec@5 64.062 (63.930) Epoch: [4][4870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9500 (2.8804) Prec@1 31.250 (38.507) Prec@5 62.500 (63.936) Epoch: [4][4880/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7890 (2.8806) Prec@1 32.812 (38.504) Prec@5 67.188 (63.935) Epoch: [4][4890/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4746 (2.8804) Prec@1 44.531 (38.505) Prec@5 69.531 (63.939) Epoch: [4][4900/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0486 (2.8808) Prec@1 34.375 (38.500) Prec@5 54.688 (63.932) Epoch: [4][4910/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7569 (2.8807) Prec@1 38.281 (38.503) Prec@5 64.844 (63.933) Epoch: [4][4920/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7161 (2.8810) Prec@1 40.625 (38.498) Prec@5 64.062 (63.925) Epoch: [4][4930/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 3.0708 (2.8810) Prec@1 34.375 (38.498) Prec@5 59.375 (63.923) Epoch: [4][4940/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.2662 (2.8808) Prec@1 46.875 (38.502) Prec@5 76.562 (63.928) Epoch: [4][4950/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9581 (2.8807) Prec@1 37.500 (38.501) Prec@5 64.062 (63.929) Epoch: [4][4960/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9097 (2.8809) Prec@1 34.375 (38.501) Prec@5 64.062 (63.929) Epoch: [4][4970/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5951 (2.8810) Prec@1 40.625 (38.499) Prec@5 66.406 (63.928) Epoch: [4][4980/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.2327 (2.8810) Prec@1 39.062 (38.501) Prec@5 60.938 (63.927) Epoch: [4][4990/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0974 (2.8810) Prec@1 36.719 (38.502) Prec@5 61.719 (63.930) Epoch: [4][5000/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.1724 (2.8813) Prec@1 34.375 (38.500) Prec@5 55.469 (63.924) Epoch: [4][5010/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9533 (2.8813) Prec@1 36.719 (38.503) Prec@5 60.156 (63.924) Epoch: [4][5020/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0107 (2.8813) Prec@1 34.375 (38.504) Prec@5 62.500 (63.926) Epoch: [4][5030/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6886 (2.8812) Prec@1 43.750 (38.505) Prec@5 69.531 (63.927) Epoch: [4][5040/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0519 (2.8811) Prec@1 34.375 (38.507) Prec@5 61.719 (63.929) Epoch: [4][5050/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5503 (2.8810) Prec@1 46.094 (38.506) Prec@5 72.656 (63.932) Epoch: [4][5060/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 3.0897 (2.8810) Prec@1 31.250 (38.503) Prec@5 57.812 (63.929) Epoch: [4][5070/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0487 (2.8811) Prec@1 35.938 (38.500) Prec@5 60.938 (63.927) Epoch: [4][5080/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8564 (2.8810) Prec@1 35.156 (38.502) Prec@5 64.062 (63.925) Epoch: [4][5090/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9784 (2.8808) Prec@1 37.500 (38.504) Prec@5 59.375 (63.928) Epoch: [4][5100/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0369 (2.8806) Prec@1 31.250 (38.510) Prec@5 57.812 (63.932) Epoch: [4][5110/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7526 (2.8808) Prec@1 42.969 (38.507) Prec@5 66.406 (63.928) Epoch: [4][5120/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7427 (2.8808) Prec@1 38.281 (38.509) Prec@5 63.281 (63.927) Epoch: [4][5130/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8540 (2.8806) Prec@1 36.719 (38.512) Prec@5 61.719 (63.930) Epoch: [4][5140/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6884 (2.8805) Prec@1 38.281 (38.518) Prec@5 69.531 (63.932) Epoch: [4][5150/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 3.1434 (2.8804) Prec@1 34.375 (38.521) Prec@5 59.375 (63.934) Epoch: [4][5160/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4653 (2.8802) Prec@1 43.750 (38.525) Prec@5 69.531 (63.938) Epoch: [4][5170/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5796 (2.8800) Prec@1 50.000 (38.531) Prec@5 66.406 (63.941) Epoch: [4][5180/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0364 (2.8798) Prec@1 40.625 (38.533) Prec@5 62.500 (63.943) Epoch: [4][5190/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9502 (2.8796) Prec@1 33.594 (38.533) Prec@5 58.594 (63.942) Epoch: [4][5200/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0933 (2.8796) Prec@1 36.719 (38.536) Prec@5 61.719 (63.942) Epoch: [4][5210/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8181 (2.8796) Prec@1 40.625 (38.538) Prec@5 64.844 (63.940) Epoch: [4][5220/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9876 (2.8797) Prec@1 39.844 (38.540) Prec@5 61.719 (63.942) Epoch: [4][5230/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7263 (2.8798) Prec@1 39.844 (38.538) Prec@5 67.969 (63.939) Epoch: [4][5240/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7592 (2.8799) Prec@1 43.750 (38.537) Prec@5 61.719 (63.935) Epoch: [4][5250/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0970 (2.8800) Prec@1 30.469 (38.531) Prec@5 63.281 (63.935) Epoch: [4][5260/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9837 (2.8800) Prec@1 35.156 (38.533) Prec@5 58.594 (63.935) Epoch: [4][5270/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 3.0187 (2.8801) Prec@1 42.188 (38.532) Prec@5 60.156 (63.933) Epoch: [4][5280/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7417 (2.8798) Prec@1 35.938 (38.536) Prec@5 67.969 (63.938) Epoch: [4][5290/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9770 (2.8797) Prec@1 35.938 (38.538) Prec@5 60.938 (63.940) Epoch: [4][5300/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1267 (2.8796) Prec@1 34.375 (38.539) Prec@5 64.062 (63.942) Epoch: [4][5310/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8806 (2.8797) Prec@1 36.719 (38.536) Prec@5 65.625 (63.939) Epoch: [4][5320/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8274 (2.8796) Prec@1 41.406 (38.539) Prec@5 67.188 (63.943) Epoch: [4][5330/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8183 (2.8795) Prec@1 42.188 (38.542) Prec@5 64.062 (63.942) Epoch: [4][5340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8005 (2.8795) Prec@1 39.062 (38.539) Prec@5 68.750 (63.944) Epoch: [4][5350/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5581 (2.8797) Prec@1 41.406 (38.538) Prec@5 71.094 (63.942) Epoch: [4][5360/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.0905 (2.8798) Prec@1 32.812 (38.535) Prec@5 60.156 (63.940) Epoch: [4][5370/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 3.0244 (2.8798) Prec@1 30.469 (38.537) Prec@5 61.719 (63.942) Epoch: [4][5380/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7372 (2.8799) Prec@1 37.500 (38.533) Prec@5 64.062 (63.941) Epoch: [4][5390/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4623 (2.8799) Prec@1 39.844 (38.534) Prec@5 75.000 (63.942) Epoch: [4][5400/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8348 (2.8802) Prec@1 44.531 (38.530) Prec@5 67.188 (63.937) Epoch: [4][5410/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8159 (2.8801) Prec@1 39.062 (38.531) Prec@5 64.844 (63.938) Epoch: [4][5420/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.0771 (2.8802) Prec@1 36.719 (38.532) Prec@5 64.844 (63.938) Epoch: [4][5430/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8327 (2.8802) Prec@1 42.969 (38.534) Prec@5 63.281 (63.938) Epoch: [4][5440/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8142 (2.8800) Prec@1 38.281 (38.539) Prec@5 64.844 (63.940) Epoch: [4][5450/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0647 (2.8802) Prec@1 32.812 (38.537) Prec@5 57.031 (63.935) Epoch: [4][5460/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8047 (2.8802) Prec@1 44.531 (38.535) Prec@5 64.844 (63.933) Epoch: [4][5470/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0052 (2.8803) Prec@1 36.719 (38.533) Prec@5 64.062 (63.934) Epoch: [4][5480/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9480 (2.8801) Prec@1 41.406 (38.539) Prec@5 65.625 (63.940) Epoch: [4][5490/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7783 (2.8802) Prec@1 40.625 (38.541) Prec@5 66.406 (63.940) Epoch: [4][5500/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9370 (2.8802) Prec@1 36.719 (38.538) Prec@5 63.281 (63.936) Epoch: [4][5510/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.1440 (2.8804) Prec@1 32.812 (38.537) Prec@5 60.938 (63.933) Epoch: [4][5520/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7623 (2.8803) Prec@1 38.281 (38.537) Prec@5 62.500 (63.935) Epoch: [4][5530/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8297 (2.8803) Prec@1 39.062 (38.536) Prec@5 65.625 (63.934) Epoch: [4][5540/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.1190 (2.8802) Prec@1 35.938 (38.539) Prec@5 57.031 (63.935) Epoch: [4][5550/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.8760 (2.8804) Prec@1 33.594 (38.537) Prec@5 67.188 (63.934) Epoch: [4][5560/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6767 (2.8803) Prec@1 42.969 (38.541) Prec@5 67.188 (63.936) Epoch: [4][5570/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.8379 (2.8803) Prec@1 36.719 (38.543) Prec@5 70.312 (63.938) Epoch: [4][5580/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8463 (2.8802) Prec@1 36.719 (38.544) Prec@5 64.844 (63.939) Epoch: [4][5590/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6223 (2.8800) Prec@1 42.969 (38.545) Prec@5 65.625 (63.940) Epoch: [4][5600/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9598 (2.8801) Prec@1 37.500 (38.545) Prec@5 60.938 (63.938) Epoch: [4][5610/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7387 (2.8802) Prec@1 34.375 (38.545) Prec@5 65.625 (63.937) Epoch: [4][5620/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9246 (2.8803) Prec@1 38.281 (38.543) Prec@5 61.719 (63.935) Epoch: [4][5630/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8312 (2.8801) Prec@1 39.062 (38.548) Prec@5 67.969 (63.936) Epoch: [4][5640/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7325 (2.8801) Prec@1 46.094 (38.551) Prec@5 68.750 (63.934) Epoch: [4][5650/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6626 (2.8800) Prec@1 39.062 (38.552) Prec@5 68.750 (63.933) Epoch: [4][5660/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9634 (2.8801) Prec@1 32.812 (38.551) Prec@5 55.469 (63.932) Epoch: [4][5670/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8760 (2.8800) Prec@1 39.844 (38.553) Prec@5 66.406 (63.933) Epoch: [4][5680/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7800 (2.8801) Prec@1 44.531 (38.553) Prec@5 63.281 (63.932) Epoch: [4][5690/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8628 (2.8800) Prec@1 33.594 (38.552) Prec@5 62.500 (63.931) Epoch: [4][5700/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7041 (2.8801) Prec@1 39.062 (38.554) Prec@5 64.844 (63.932) Epoch: [4][5710/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8323 (2.8801) Prec@1 42.188 (38.553) Prec@5 63.281 (63.932) Epoch: [4][5720/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8498 (2.8801) Prec@1 38.281 (38.548) Prec@5 59.375 (63.929) Epoch: [4][5730/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0393 (2.8801) Prec@1 36.719 (38.551) Prec@5 61.719 (63.931) Epoch: [4][5740/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.1260 (2.8801) Prec@1 33.594 (38.550) Prec@5 62.500 (63.929) Epoch: [4][5750/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.1260 (2.8802) Prec@1 33.594 (38.545) Prec@5 62.500 (63.927) Epoch: [4][5760/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7882 (2.8801) Prec@1 39.844 (38.548) Prec@5 65.625 (63.928) Epoch: [4][5770/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7859 (2.8800) Prec@1 29.688 (38.548) Prec@5 69.531 (63.931) Epoch: [4][5780/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8554 (2.8800) Prec@1 39.844 (38.548) Prec@5 67.188 (63.931) Epoch: [4][5790/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5193 (2.8799) Prec@1 44.531 (38.549) Prec@5 74.219 (63.933) Epoch: [4][5800/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7752 (2.8799) Prec@1 36.719 (38.547) Prec@5 63.281 (63.932) Epoch: [4][5810/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.0169 (2.8799) Prec@1 39.844 (38.549) Prec@5 60.156 (63.935) Epoch: [4][5820/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8950 (2.8801) Prec@1 41.406 (38.546) Prec@5 60.156 (63.932) Epoch: [4][5830/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5183 (2.8799) Prec@1 41.406 (38.548) Prec@5 70.312 (63.936) Epoch: [4][5840/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0045 (2.8799) Prec@1 38.281 (38.548) Prec@5 61.719 (63.934) Epoch: [4][5850/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8598 (2.8797) Prec@1 29.688 (38.549) Prec@5 63.281 (63.936) Epoch: [4][5860/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8171 (2.8797) Prec@1 37.500 (38.551) Prec@5 60.156 (63.934) Epoch: [4][5870/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9841 (2.8795) Prec@1 37.500 (38.553) Prec@5 64.062 (63.938) Epoch: [4][5880/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9819 (2.8795) Prec@1 36.719 (38.553) Prec@5 60.156 (63.939) Epoch: [4][5890/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7359 (2.8795) Prec@1 35.938 (38.550) Prec@5 64.062 (63.936) Epoch: [4][5900/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5528 (2.8794) Prec@1 42.969 (38.554) Prec@5 70.312 (63.937) Epoch: [4][5910/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0740 (2.8794) Prec@1 38.281 (38.554) Prec@5 68.750 (63.939) Epoch: [4][5920/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9544 (2.8796) Prec@1 38.281 (38.549) Prec@5 64.062 (63.934) Epoch: [4][5930/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.2570 (2.8797) Prec@1 38.281 (38.551) Prec@5 55.469 (63.932) Epoch: [4][5940/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9509 (2.8797) Prec@1 39.844 (38.552) Prec@5 61.719 (63.933) Epoch: [4][5950/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7655 (2.8796) Prec@1 45.312 (38.553) Prec@5 68.750 (63.935) Epoch: [4][5960/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0473 (2.8795) Prec@1 35.156 (38.554) Prec@5 57.812 (63.939) Epoch: [4][5970/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.1133 (2.8796) Prec@1 35.156 (38.551) Prec@5 59.375 (63.935) Epoch: [4][5980/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0465 (2.8795) Prec@1 37.500 (38.554) Prec@5 57.812 (63.938) Epoch: [4][5990/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5275 (2.8794) Prec@1 43.750 (38.555) Prec@5 71.094 (63.937) Epoch: [4][6000/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.0142 (2.8795) Prec@1 40.625 (38.554) Prec@5 60.938 (63.935) Epoch: [4][6010/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8864 (2.8796) Prec@1 32.031 (38.549) Prec@5 63.281 (63.932) Epoch: [4][6020/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8499 (2.8795) Prec@1 39.844 (38.547) Prec@5 68.750 (63.933) Epoch: [4][6030/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8746 (2.8795) Prec@1 35.938 (38.550) Prec@5 62.500 (63.933) Epoch: [4][6040/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.9113 (2.8794) Prec@1 39.062 (38.551) Prec@5 64.062 (63.935) Epoch: [4][6050/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7906 (2.8791) Prec@1 41.406 (38.557) Prec@5 64.844 (63.940) Epoch: [4][6060/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0002 (2.8791) Prec@1 42.188 (38.562) Prec@5 62.500 (63.941) Epoch: [4][6070/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.3013 (2.8789) Prec@1 32.031 (38.562) Prec@5 55.469 (63.943) Epoch: [4][6080/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6113 (2.8789) Prec@1 46.094 (38.562) Prec@5 66.406 (63.942) Epoch: [4][6090/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9530 (2.8791) Prec@1 35.156 (38.559) Prec@5 60.938 (63.939) Epoch: [4][6100/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.8567 (2.8791) Prec@1 39.062 (38.558) Prec@5 65.625 (63.941) Epoch: [4][6110/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9713 (2.8791) Prec@1 39.844 (38.559) Prec@5 60.938 (63.939) Epoch: [4][6120/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9472 (2.8792) Prec@1 38.281 (38.558) Prec@5 65.625 (63.939) Epoch: [4][6130/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5502 (2.8792) Prec@1 45.312 (38.560) Prec@5 71.875 (63.938) Epoch: [4][6140/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6636 (2.8791) Prec@1 45.312 (38.562) Prec@5 72.656 (63.943) Epoch: [4][6150/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7984 (2.8791) Prec@1 40.625 (38.563) Prec@5 60.938 (63.940) Epoch: [4][6160/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.9372 (2.8790) Prec@1 39.844 (38.565) Prec@5 61.719 (63.940) Epoch: [4][6170/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6975 (2.8789) Prec@1 41.406 (38.564) Prec@5 70.312 (63.942) Epoch: [4][6180/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6973 (2.8788) Prec@1 41.406 (38.566) Prec@5 68.750 (63.943) Epoch: [4][6190/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0301 (2.8788) Prec@1 42.188 (38.568) Prec@5 60.156 (63.943) Epoch: [4][6200/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1710 (2.8786) Prec@1 52.344 (38.570) Prec@5 71.875 (63.945) Epoch: [4][6210/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9465 (2.8787) Prec@1 40.625 (38.569) Prec@5 67.188 (63.945) Epoch: [4][6220/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7761 (2.8787) Prec@1 39.844 (38.570) Prec@5 65.625 (63.948) Epoch: [4][6230/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.9923 (2.8786) Prec@1 39.062 (38.573) Prec@5 63.281 (63.953) Epoch: [4][6240/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0707 (2.8787) Prec@1 35.938 (38.570) Prec@5 60.156 (63.948) Epoch: [4][6250/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9164 (2.8786) Prec@1 41.406 (38.572) Prec@5 62.500 (63.950) Epoch: [4][6260/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4458 (2.8783) Prec@1 41.406 (38.572) Prec@5 68.750 (63.954) Epoch: [4][6270/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7417 (2.8781) Prec@1 43.750 (38.579) Prec@5 65.625 (63.959) Epoch: [4][6280/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.0111 (2.8783) Prec@1 43.750 (38.578) Prec@5 63.281 (63.955) Epoch: [4][6290/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7935 (2.8781) Prec@1 44.531 (38.582) Prec@5 68.750 (63.957) Epoch: [4][6300/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8996 (2.8780) Prec@1 37.500 (38.582) Prec@5 61.719 (63.958) Epoch: [4][6310/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9674 (2.8781) Prec@1 40.625 (38.582) Prec@5 64.844 (63.957) Epoch: [4][6320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6261 (2.8779) Prec@1 42.969 (38.586) Prec@5 68.750 (63.959) Epoch: [4][6330/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6774 (2.8779) Prec@1 39.844 (38.586) Prec@5 62.500 (63.959) Epoch: [4][6340/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8994 (2.8778) Prec@1 40.625 (38.588) Prec@5 60.938 (63.961) Epoch: [4][6350/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.3299 (2.8781) Prec@1 32.812 (38.584) Prec@5 57.031 (63.957) Epoch: [4][6360/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8411 (2.8781) Prec@1 39.844 (38.581) Prec@5 62.500 (63.955) Epoch: [4][6370/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7822 (2.8782) Prec@1 40.625 (38.578) Prec@5 61.719 (63.955) Epoch: [4][6380/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5552 (2.8781) Prec@1 39.844 (38.580) Prec@5 72.656 (63.960) Epoch: [4][6390/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.0345 (2.8781) Prec@1 40.625 (38.581) Prec@5 63.281 (63.961) Epoch: [4][6400/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6222 (2.8779) Prec@1 43.750 (38.583) Prec@5 69.531 (63.962) Epoch: [4][6410/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1781 (2.8778) Prec@1 29.688 (38.587) Prec@5 60.156 (63.965) Epoch: [4][6420/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0832 (2.8778) Prec@1 31.250 (38.589) Prec@5 59.375 (63.965) Epoch: [4][6430/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6864 (2.8778) Prec@1 42.188 (38.589) Prec@5 70.312 (63.965) Epoch: [4][6440/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5258 (2.8778) Prec@1 42.188 (38.587) Prec@5 67.969 (63.965) Epoch: [4][6450/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9050 (2.8777) Prec@1 39.062 (38.588) Prec@5 64.844 (63.967) Epoch: [4][6460/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9971 (2.8777) Prec@1 36.719 (38.590) Prec@5 61.719 (63.968) Epoch: [4][6470/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0528 (2.8777) Prec@1 39.062 (38.589) Prec@5 64.062 (63.967) Epoch: [4][6480/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5525 (2.8778) Prec@1 45.312 (38.589) Prec@5 67.969 (63.965) Epoch: [4][6490/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6722 (2.8780) Prec@1 42.969 (38.586) Prec@5 67.188 (63.962) Epoch: [4][6500/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9578 (2.8780) Prec@1 35.156 (38.588) Prec@5 60.938 (63.960) Epoch: [4][6510/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6627 (2.8779) Prec@1 42.188 (38.590) Prec@5 67.969 (63.961) Epoch: [4][6520/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6038 (2.8778) Prec@1 46.875 (38.591) Prec@5 68.750 (63.962) Epoch: [4][6530/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7640 (2.8777) Prec@1 42.188 (38.591) Prec@5 65.625 (63.963) Epoch: [4][6540/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7264 (2.8777) Prec@1 42.188 (38.590) Prec@5 67.969 (63.963) Epoch: [4][6550/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.2543 (2.8778) Prec@1 34.375 (38.591) Prec@5 54.688 (63.959) Epoch: [4][6560/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0024 (2.8778) Prec@1 36.719 (38.590) Prec@5 61.719 (63.961) Epoch: [4][6570/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7861 (2.8777) Prec@1 44.531 (38.592) Prec@5 66.406 (63.963) Epoch: [4][6580/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8451 (2.8779) Prec@1 35.938 (38.589) Prec@5 66.406 (63.963) Epoch: [4][6590/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8891 (2.8777) Prec@1 37.500 (38.591) Prec@5 60.938 (63.964) Epoch: [4][6600/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.0157 (2.8777) Prec@1 33.594 (38.592) Prec@5 59.375 (63.964) Epoch: [4][6610/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5803 (2.8775) Prec@1 43.750 (38.594) Prec@5 70.312 (63.967) Epoch: [4][6620/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6462 (2.8775) Prec@1 47.656 (38.592) Prec@5 67.188 (63.966) Epoch: [4][6630/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8601 (2.8774) Prec@1 46.875 (38.595) Prec@5 60.156 (63.967) Epoch: [4][6640/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.1254 (2.8774) Prec@1 35.156 (38.595) Prec@5 67.969 (63.968) Epoch: [4][6650/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.9084 (2.8773) Prec@1 36.719 (38.597) Prec@5 62.500 (63.968) Epoch: [4][6660/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7355 (2.8773) Prec@1 42.188 (38.598) Prec@5 62.500 (63.966) Epoch: [4][6670/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6513 (2.8772) Prec@1 39.844 (38.600) Prec@5 68.750 (63.969) Epoch: [4][6680/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.1290 (2.8771) Prec@1 36.719 (38.602) Prec@5 63.281 (63.969) Epoch: [4][6690/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.6814 (2.8771) Prec@1 46.094 (38.602) Prec@5 66.406 (63.970) Epoch: [4][6700/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.1594 (2.8771) Prec@1 31.250 (38.600) Prec@5 60.938 (63.971) Epoch: [4][6710/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.1761 (2.8771) Prec@1 35.938 (38.600) Prec@5 61.719 (63.972) Epoch: [4][6720/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9127 (2.8770) Prec@1 36.719 (38.600) Prec@5 60.156 (63.973) Epoch: [4][6730/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7688 (2.8768) Prec@1 43.750 (38.602) Prec@5 65.625 (63.977) Epoch: [4][6740/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8558 (2.8769) Prec@1 39.062 (38.601) Prec@5 66.406 (63.977) Epoch: [4][6750/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7622 (2.8768) Prec@1 35.156 (38.601) Prec@5 61.719 (63.977) /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: [4][6760/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 3.0245 (2.8767) Prec@1 35.156 (38.599) Prec@5 63.281 (63.978) Epoch: [4][6770/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8294 (2.8768) Prec@1 36.719 (38.600) Prec@5 64.844 (63.978) Epoch: [4][6780/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9402 (2.8768) Prec@1 43.750 (38.600) Prec@5 66.406 (63.978) Epoch: [4][6790/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.1420 (2.8770) Prec@1 36.719 (38.599) Prec@5 60.938 (63.974) Epoch: [4][6800/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8196 (2.8770) Prec@1 37.500 (38.600) Prec@5 60.938 (63.973) Epoch: [4][6810/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.2401 (2.8769) Prec@1 36.719 (38.604) Prec@5 57.031 (63.976) Epoch: [4][6820/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.3542 (2.8770) Prec@1 47.656 (38.605) Prec@5 72.656 (63.974) Epoch: [4][6830/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7130 (2.8769) Prec@1 43.750 (38.609) Prec@5 64.062 (63.974) Epoch: [4][6840/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8503 (2.8768) Prec@1 41.406 (38.610) Prec@5 67.969 (63.978) Epoch: [4][6850/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.0971 (2.8769) Prec@1 35.156 (38.611) Prec@5 62.500 (63.978) Epoch: [4][6860/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0148 (2.8770) Prec@1 37.500 (38.610) Prec@5 60.938 (63.977) Epoch: [4][6870/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8728 (2.8768) Prec@1 34.375 (38.612) Prec@5 64.844 (63.979) Epoch: [4][6880/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6847 (2.8768) Prec@1 40.625 (38.614) Prec@5 69.531 (63.981) Epoch: [4][6890/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.2952 (2.8768) Prec@1 32.031 (38.614) Prec@5 57.812 (63.979) Epoch: [4][6900/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9464 (2.8768) Prec@1 35.938 (38.615) Prec@5 69.531 (63.979) Epoch: [4][6910/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.3842 (2.8771) Prec@1 30.469 (38.613) Prec@5 53.125 (63.974) Epoch: [4][6920/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5767 (2.8770) Prec@1 50.000 (38.616) Prec@5 68.750 (63.974) Epoch: [4][6930/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5913 (2.8768) Prec@1 48.438 (38.621) Prec@5 65.625 (63.977) Epoch: [4][6940/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6761 (2.8769) Prec@1 47.656 (38.619) Prec@5 69.531 (63.976) Epoch: [4][6950/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9121 (2.8768) Prec@1 32.812 (38.620) Prec@5 59.375 (63.975) Epoch: [4][6960/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0679 (2.8768) Prec@1 34.375 (38.619) Prec@5 63.281 (63.975) Epoch: [4][6970/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.0321 (2.8768) Prec@1 39.844 (38.620) Prec@5 61.719 (63.977) Epoch: [4][6980/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0434 (2.8768) Prec@1 39.062 (38.623) Prec@5 53.125 (63.976) Epoch: [4][6990/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6591 (2.8767) Prec@1 44.531 (38.624) Prec@5 64.844 (63.978) Epoch: [4][7000/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8231 (2.8767) Prec@1 37.500 (38.626) Prec@5 67.188 (63.978) Epoch: [4][7010/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.2552 (2.8767) Prec@1 33.594 (38.626) Prec@5 52.344 (63.977) Epoch: [4][7020/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6063 (2.8766) Prec@1 44.531 (38.628) Prec@5 65.625 (63.979) Epoch: [4][7030/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5565 (2.8766) Prec@1 42.969 (38.626) Prec@5 67.969 (63.979) Epoch: [4][7040/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8493 (2.8767) Prec@1 37.500 (38.626) Prec@5 64.062 (63.977) Epoch: [4][7050/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8162 (2.8768) Prec@1 38.281 (38.626) Prec@5 68.750 (63.975) Epoch: [4][7060/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9386 (2.8769) Prec@1 40.625 (38.626) Prec@5 61.719 (63.973) Epoch: [4][7070/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.1814 (2.8770) Prec@1 34.375 (38.625) Prec@5 53.906 (63.972) Epoch: [4][7080/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8432 (2.8771) Prec@1 37.500 (38.624) Prec@5 66.406 (63.971) Epoch: [4][7090/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6110 (2.8771) Prec@1 44.531 (38.622) Prec@5 71.094 (63.971) Epoch: [4][7100/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9517 (2.8771) Prec@1 34.375 (38.621) Prec@5 62.500 (63.969) Epoch: [4][7110/10010] Time 0.353 (0.331) Data 0.001 (0.001) Loss 2.5540 (2.8771) Prec@1 46.094 (38.623) Prec@5 70.312 (63.971) Epoch: [4][7120/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5391 (2.8771) Prec@1 42.969 (38.623) Prec@5 70.312 (63.972) Epoch: [4][7130/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0533 (2.8771) Prec@1 32.031 (38.621) Prec@5 60.938 (63.973) Epoch: [4][7140/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5448 (2.8770) Prec@1 44.531 (38.624) Prec@5 65.625 (63.976) Epoch: [4][7150/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6678 (2.8769) Prec@1 43.750 (38.626) Prec@5 67.188 (63.975) Epoch: [4][7160/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9347 (2.8767) Prec@1 40.625 (38.627) Prec@5 57.812 (63.976) Epoch: [4][7170/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.2423 (2.8767) Prec@1 35.156 (38.628) Prec@5 57.812 (63.975) Epoch: [4][7180/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5845 (2.8767) Prec@1 42.969 (38.631) Prec@5 70.312 (63.976) Epoch: [4][7190/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8797 (2.8767) Prec@1 36.719 (38.632) Prec@5 66.406 (63.978) Epoch: [4][7200/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7821 (2.8766) Prec@1 42.188 (38.631) Prec@5 64.844 (63.980) Epoch: [4][7210/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8640 (2.8765) Prec@1 35.938 (38.632) Prec@5 63.281 (63.979) Epoch: [4][7220/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6356 (2.8766) Prec@1 39.844 (38.628) Prec@5 72.656 (63.978) Epoch: [4][7230/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6173 (2.8766) Prec@1 39.844 (38.629) Prec@5 67.188 (63.980) Epoch: [4][7240/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7173 (2.8766) Prec@1 40.625 (38.629) Prec@5 66.406 (63.978) Epoch: [4][7250/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4172 (2.8764) Prec@1 45.312 (38.631) Prec@5 74.219 (63.982) Epoch: [4][7260/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7511 (2.8764) Prec@1 39.844 (38.631) Prec@5 64.844 (63.983) Epoch: [4][7270/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8363 (2.8761) Prec@1 32.031 (38.635) Prec@5 64.062 (63.987) Epoch: [4][7280/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7652 (2.8762) Prec@1 41.406 (38.631) Prec@5 60.156 (63.984) Epoch: [4][7290/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0475 (2.8763) Prec@1 33.594 (38.628) Prec@5 65.625 (63.984) Epoch: [4][7300/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8348 (2.8763) Prec@1 39.062 (38.627) Prec@5 67.188 (63.984) Epoch: [4][7310/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9984 (2.8763) Prec@1 35.938 (38.629) Prec@5 62.500 (63.984) Epoch: [4][7320/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8554 (2.8761) Prec@1 39.844 (38.631) Prec@5 64.062 (63.986) Epoch: [4][7330/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9127 (2.8762) Prec@1 38.281 (38.631) Prec@5 63.281 (63.987) Epoch: [4][7340/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8913 (2.8762) Prec@1 32.031 (38.628) Prec@5 61.719 (63.986) Epoch: [4][7350/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7661 (2.8763) Prec@1 42.969 (38.628) Prec@5 67.969 (63.984) Epoch: [4][7360/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8629 (2.8764) Prec@1 37.500 (38.629) Prec@5 63.281 (63.982) Epoch: [4][7370/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8080 (2.8765) Prec@1 43.750 (38.627) Prec@5 64.844 (63.981) Epoch: [4][7380/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6824 (2.8764) Prec@1 38.281 (38.627) Prec@5 67.969 (63.982) Epoch: [4][7390/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8499 (2.8765) Prec@1 38.281 (38.625) Prec@5 65.625 (63.979) Epoch: [4][7400/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.8249 (2.8764) Prec@1 41.406 (38.627) Prec@5 65.625 (63.980) Epoch: [4][7410/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8097 (2.8763) Prec@1 33.594 (38.628) Prec@5 60.156 (63.981) Epoch: [4][7420/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3384 (2.8761) Prec@1 46.875 (38.633) Prec@5 73.438 (63.987) Epoch: [4][7430/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5928 (2.8761) Prec@1 42.969 (38.635) Prec@5 67.969 (63.987) Epoch: [4][7440/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5307 (2.8761) Prec@1 44.531 (38.635) Prec@5 67.969 (63.985) Epoch: [4][7450/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5483 (2.8760) Prec@1 45.312 (38.635) Prec@5 70.312 (63.984) Epoch: [4][7460/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7879 (2.8760) Prec@1 41.406 (38.636) Prec@5 64.062 (63.986) Epoch: [4][7470/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8938 (2.8760) Prec@1 32.812 (38.635) Prec@5 64.844 (63.985) Epoch: [4][7480/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4524 (2.8759) Prec@1 44.531 (38.636) Prec@5 69.531 (63.985) Epoch: [4][7490/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9636 (2.8760) Prec@1 35.156 (38.635) Prec@5 59.375 (63.984) Epoch: [4][7500/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.0204 (2.8758) Prec@1 35.156 (38.636) Prec@5 58.594 (63.988) Epoch: [4][7510/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7668 (2.8759) Prec@1 37.500 (38.636) Prec@5 66.406 (63.989) Epoch: [4][7520/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.4203 (2.8758) Prec@1 46.875 (38.636) Prec@5 72.656 (63.988) Epoch: [4][7530/10010] Time 0.321 (0.331) Data 0.002 (0.001) Loss 3.0283 (2.8758) Prec@1 34.375 (38.636) Prec@5 62.500 (63.989) Epoch: [4][7540/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6736 (2.8758) Prec@1 38.281 (38.635) Prec@5 64.844 (63.987) Epoch: [4][7550/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8659 (2.8760) Prec@1 40.625 (38.633) Prec@5 65.625 (63.985) Epoch: [4][7560/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7659 (2.8760) Prec@1 39.844 (38.631) Prec@5 67.969 (63.985) Epoch: [4][7570/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9493 (2.8761) Prec@1 37.500 (38.632) Prec@5 61.719 (63.985) Epoch: [4][7580/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9155 (2.8760) Prec@1 35.156 (38.633) Prec@5 63.281 (63.986) Epoch: [4][7590/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5870 (2.8760) Prec@1 45.312 (38.634) Prec@5 67.188 (63.985) Epoch: [4][7600/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9910 (2.8761) Prec@1 38.281 (38.633) Prec@5 61.719 (63.984) Epoch: [4][7610/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9790 (2.8760) Prec@1 35.156 (38.635) Prec@5 64.062 (63.987) Epoch: [4][7620/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0562 (2.8761) Prec@1 30.469 (38.634) Prec@5 63.281 (63.987) Epoch: [4][7630/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7964 (2.8761) Prec@1 35.156 (38.633) Prec@5 66.406 (63.986) Epoch: [4][7640/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7136 (2.8761) Prec@1 40.625 (38.631) Prec@5 67.188 (63.986) Epoch: [4][7650/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5725 (2.8761) Prec@1 45.312 (38.631) Prec@5 71.094 (63.988) Epoch: [4][7660/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5793 (2.8760) Prec@1 38.281 (38.630) Prec@5 67.969 (63.989) Epoch: [4][7670/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6298 (2.8759) Prec@1 43.750 (38.633) Prec@5 64.844 (63.990) Epoch: [4][7680/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0394 (2.8759) Prec@1 36.719 (38.636) Prec@5 60.938 (63.990) Epoch: [4][7690/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.1099 (2.8760) Prec@1 34.375 (38.634) Prec@5 63.281 (63.989) Epoch: [4][7700/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9866 (2.8762) Prec@1 35.938 (38.630) Prec@5 64.844 (63.985) Epoch: [4][7710/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9493 (2.8762) Prec@1 35.938 (38.630) Prec@5 65.625 (63.985) Epoch: [4][7720/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.0461 (2.8761) Prec@1 35.938 (38.630) Prec@5 64.844 (63.986) Epoch: [4][7730/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.8359 (2.8762) Prec@1 41.406 (38.630) Prec@5 59.375 (63.984) Epoch: [4][7740/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7606 (2.8761) Prec@1 35.938 (38.629) Prec@5 65.625 (63.986) Epoch: [4][7750/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.2488 (2.8762) Prec@1 36.719 (38.630) Prec@5 56.250 (63.984) Epoch: [4][7760/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7430 (2.8763) Prec@1 39.844 (38.629) Prec@5 67.188 (63.983) Epoch: [4][7770/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7335 (2.8765) Prec@1 43.750 (38.626) Prec@5 66.406 (63.980) Epoch: [4][7780/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9564 (2.8765) Prec@1 39.844 (38.625) Prec@5 61.719 (63.979) Epoch: [4][7790/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.2904 (2.8766) Prec@1 28.906 (38.623) Prec@5 58.594 (63.979) Epoch: [4][7800/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 2.6808 (2.8765) Prec@1 46.875 (38.627) Prec@5 71.094 (63.980) Epoch: [4][7810/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0690 (2.8765) Prec@1 36.719 (38.627) Prec@5 58.594 (63.981) Epoch: [4][7820/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9737 (2.8765) Prec@1 39.062 (38.626) Prec@5 64.062 (63.980) Epoch: [4][7830/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6282 (2.8765) Prec@1 46.875 (38.626) Prec@5 69.531 (63.981) Epoch: [4][7840/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.1458 (2.8765) Prec@1 35.938 (38.625) Prec@5 62.500 (63.982) Epoch: [4][7850/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8626 (2.8767) Prec@1 40.625 (38.626) Prec@5 67.188 (63.980) Epoch: [4][7860/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.9759 (2.8767) Prec@1 35.156 (38.626) Prec@5 65.625 (63.980) Epoch: [4][7870/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.9379 (2.8765) Prec@1 40.625 (38.631) Prec@5 63.281 (63.984) Epoch: [4][7880/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.2093 (2.8765) Prec@1 31.250 (38.631) Prec@5 54.688 (63.983) Epoch: [4][7890/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7869 (2.8765) Prec@1 42.188 (38.630) Prec@5 65.625 (63.982) Epoch: [4][7900/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.0005 (2.8765) Prec@1 37.500 (38.629) Prec@5 67.188 (63.982) Epoch: [4][7910/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6543 (2.8765) Prec@1 39.062 (38.630) Prec@5 70.312 (63.983) Epoch: [4][7920/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9254 (2.8764) Prec@1 38.281 (38.631) Prec@5 63.281 (63.984) Epoch: [4][7930/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.8544 (2.8765) Prec@1 36.719 (38.634) Prec@5 61.719 (63.983) Epoch: [4][7940/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8748 (2.8764) Prec@1 35.938 (38.632) Prec@5 67.969 (63.984) Epoch: [4][7950/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9962 (2.8763) Prec@1 42.188 (38.634) Prec@5 63.281 (63.987) Epoch: [4][7960/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8778 (2.8764) Prec@1 44.531 (38.634) Prec@5 62.500 (63.986) Epoch: [4][7970/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9695 (2.8765) Prec@1 35.938 (38.632) Prec@5 61.719 (63.985) Epoch: [4][7980/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9594 (2.8765) Prec@1 38.281 (38.631) Prec@5 55.469 (63.984) Epoch: [4][7990/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8739 (2.8765) Prec@1 39.844 (38.631) Prec@5 60.156 (63.984) Epoch: [4][8000/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7671 (2.8764) Prec@1 38.281 (38.633) Prec@5 64.062 (63.987) Epoch: [4][8010/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9825 (2.8764) Prec@1 32.812 (38.633) Prec@5 62.500 (63.987) Epoch: [4][8020/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7233 (2.8766) Prec@1 39.062 (38.630) Prec@5 62.500 (63.984) Epoch: [4][8030/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7610 (2.8764) Prec@1 44.531 (38.633) Prec@5 66.406 (63.987) Epoch: [4][8040/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.1432 (2.8764) Prec@1 34.375 (38.632) Prec@5 60.938 (63.987) Epoch: [4][8050/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9654 (2.8764) Prec@1 42.188 (38.631) Prec@5 61.719 (63.986) Epoch: [4][8060/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6735 (2.8763) Prec@1 42.188 (38.633) Prec@5 63.281 (63.987) Epoch: [4][8070/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.1949 (2.8765) Prec@1 34.375 (38.633) Prec@5 53.906 (63.984) Epoch: [4][8080/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8114 (2.8765) Prec@1 39.844 (38.631) Prec@5 64.062 (63.982) Epoch: [4][8090/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5631 (2.8765) Prec@1 41.406 (38.629) Prec@5 71.875 (63.984) Epoch: [4][8100/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4735 (2.8765) Prec@1 42.969 (38.631) Prec@5 70.312 (63.984) Epoch: [4][8110/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7160 (2.8764) Prec@1 47.656 (38.633) Prec@5 71.094 (63.986) Epoch: [4][8120/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.2766 (2.8765) Prec@1 36.719 (38.633) Prec@5 60.938 (63.984) Epoch: [4][8130/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9582 (2.8765) Prec@1 31.250 (38.632) Prec@5 60.156 (63.984) Epoch: [4][8140/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9626 (2.8765) Prec@1 38.281 (38.632) Prec@5 63.281 (63.983) Epoch: [4][8150/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8440 (2.8765) Prec@1 41.406 (38.633) Prec@5 63.281 (63.982) Epoch: [4][8160/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8796 (2.8764) Prec@1 36.719 (38.635) Prec@5 64.844 (63.982) Epoch: [4][8170/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8766 (2.8763) Prec@1 37.500 (38.638) Prec@5 58.594 (63.982) Epoch: [4][8180/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.5991 (2.8763) Prec@1 35.938 (38.639) Prec@5 74.219 (63.985) Epoch: [4][8190/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7061 (2.8763) Prec@1 42.188 (38.639) Prec@5 66.406 (63.987) Epoch: [4][8200/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8763 (2.8762) Prec@1 33.594 (38.639) Prec@5 60.156 (63.988) Epoch: [4][8210/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5507 (2.8762) Prec@1 40.625 (38.638) Prec@5 71.094 (63.988) Epoch: [4][8220/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7830 (2.8762) Prec@1 39.062 (38.639) Prec@5 64.062 (63.988) Epoch: [4][8230/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9918 (2.8762) Prec@1 40.625 (38.641) Prec@5 64.844 (63.988) Epoch: [4][8240/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6388 (2.8762) Prec@1 38.281 (38.641) Prec@5 66.406 (63.988) Epoch: [4][8250/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9196 (2.8763) Prec@1 39.844 (38.639) Prec@5 61.719 (63.985) Epoch: [4][8260/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6415 (2.8762) Prec@1 43.750 (38.641) Prec@5 68.750 (63.990) Epoch: [4][8270/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8183 (2.8763) Prec@1 39.844 (38.641) Prec@5 60.938 (63.990) Epoch: [4][8280/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8315 (2.8763) Prec@1 39.844 (38.641) Prec@5 62.500 (63.989) Epoch: [4][8290/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4106 (2.8762) Prec@1 42.188 (38.643) Prec@5 71.094 (63.991) Epoch: [4][8300/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.4231 (2.8761) Prec@1 44.531 (38.645) Prec@5 71.875 (63.995) Epoch: [4][8310/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7809 (2.8760) Prec@1 42.188 (38.649) Prec@5 64.062 (63.997) Epoch: [4][8320/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.3066 (2.8760) Prec@1 35.938 (38.648) Prec@5 60.938 (63.997) Epoch: [4][8330/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.9757 (2.8760) Prec@1 37.500 (38.648) Prec@5 58.594 (63.997) Epoch: [4][8340/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8660 (2.8758) Prec@1 35.156 (38.651) Prec@5 67.188 (63.999) Epoch: [4][8350/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5687 (2.8758) Prec@1 44.531 (38.651) Prec@5 66.406 (64.001) Epoch: [4][8360/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.1217 (2.8759) Prec@1 35.938 (38.648) Prec@5 57.812 (63.998) Epoch: [4][8370/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.0333 (2.8758) Prec@1 33.594 (38.649) Prec@5 60.156 (63.999) Epoch: [4][8380/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5793 (2.8757) Prec@1 46.094 (38.650) Prec@5 66.406 (64.001) Epoch: [4][8390/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7149 (2.8755) Prec@1 39.062 (38.653) Prec@5 71.094 (64.002) Epoch: [4][8400/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8434 (2.8756) Prec@1 39.062 (38.654) Prec@5 69.531 (64.003) Epoch: [4][8410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6616 (2.8755) Prec@1 42.969 (38.655) Prec@5 67.969 (64.005) Epoch: [4][8420/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7756 (2.8755) Prec@1 39.844 (38.654) Prec@5 64.844 (64.004) Epoch: [4][8430/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0530 (2.8757) Prec@1 39.844 (38.655) Prec@5 64.062 (64.002) Epoch: [4][8440/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6411 (2.8757) Prec@1 42.969 (38.655) Prec@5 67.188 (63.999) Epoch: [4][8450/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7430 (2.8757) Prec@1 44.531 (38.657) Prec@5 67.188 (64.001) Epoch: [4][8460/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8459 (2.8758) Prec@1 42.969 (38.657) Prec@5 63.281 (64.000) Epoch: [4][8470/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.9465 (2.8758) Prec@1 34.375 (38.655) Prec@5 63.281 (64.002) Epoch: [4][8480/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1263 (2.8757) Prec@1 35.938 (38.658) Prec@5 60.938 (64.006) Epoch: [4][8490/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6960 (2.8756) Prec@1 40.625 (38.657) Prec@5 67.969 (64.006) Epoch: [4][8500/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7632 (2.8754) Prec@1 39.844 (38.660) Prec@5 69.531 (64.008) Epoch: [4][8510/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5736 (2.8753) Prec@1 45.312 (38.662) Prec@5 71.875 (64.011) Epoch: [4][8520/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7627 (2.8752) Prec@1 38.281 (38.662) Prec@5 64.844 (64.012) Epoch: [4][8530/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8155 (2.8753) Prec@1 42.188 (38.661) Prec@5 65.625 (64.012) Epoch: [4][8540/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9756 (2.8753) Prec@1 35.156 (38.660) Prec@5 64.844 (64.011) Epoch: [4][8550/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0644 (2.8753) Prec@1 33.594 (38.661) Prec@5 62.500 (64.012) Epoch: [4][8560/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6856 (2.8753) Prec@1 40.625 (38.663) Prec@5 64.844 (64.013) Epoch: [4][8570/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7373 (2.8750) Prec@1 34.375 (38.668) Prec@5 61.719 (64.017) Epoch: [4][8580/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0890 (2.8750) Prec@1 35.938 (38.669) Prec@5 64.062 (64.018) Epoch: [4][8590/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8836 (2.8750) Prec@1 40.625 (38.667) Prec@5 64.062 (64.017) Epoch: [4][8600/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7622 (2.8750) Prec@1 38.281 (38.666) Prec@5 68.750 (64.018) Epoch: [4][8610/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0873 (2.8749) Prec@1 39.062 (38.667) Prec@5 60.156 (64.021) Epoch: [4][8620/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.2883 (2.8750) Prec@1 33.594 (38.666) Prec@5 58.594 (64.020) Epoch: [4][8630/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.1036 (2.8750) Prec@1 36.719 (38.664) Prec@5 59.375 (64.020) Epoch: [4][8640/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7345 (2.8750) Prec@1 39.062 (38.661) Prec@5 66.406 (64.021) Epoch: [4][8650/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0645 (2.8750) Prec@1 35.938 (38.660) Prec@5 60.938 (64.021) Epoch: [4][8660/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0661 (2.8750) Prec@1 30.469 (38.660) Prec@5 63.281 (64.021) Epoch: [4][8670/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6632 (2.8749) Prec@1 41.406 (38.659) Prec@5 68.750 (64.022) Epoch: [4][8680/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8311 (2.8749) Prec@1 39.062 (38.658) Prec@5 64.844 (64.020) Epoch: [4][8690/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6623 (2.8749) Prec@1 42.969 (38.658) Prec@5 66.406 (64.020) Epoch: [4][8700/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.3149 (2.8749) Prec@1 29.688 (38.658) Prec@5 55.469 (64.020) /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: [4][8710/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1800 (2.8749) Prec@1 59.375 (38.659) Prec@5 74.219 (64.020) Epoch: [4][8720/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8963 (2.8750) Prec@1 39.062 (38.658) Prec@5 64.062 (64.019) Epoch: [4][8730/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7665 (2.8749) Prec@1 40.625 (38.659) Prec@5 64.062 (64.020) Epoch: [4][8740/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8734 (2.8749) Prec@1 37.500 (38.660) Prec@5 60.938 (64.020) Epoch: [4][8750/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0010 (2.8750) Prec@1 41.406 (38.659) Prec@5 64.844 (64.017) Epoch: [4][8760/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9994 (2.8751) Prec@1 39.062 (38.657) Prec@5 64.062 (64.015) Epoch: [4][8770/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7716 (2.8750) Prec@1 39.844 (38.658) Prec@5 60.938 (64.016) Epoch: [4][8780/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7630 (2.8750) Prec@1 40.625 (38.658) Prec@5 62.500 (64.017) Epoch: [4][8790/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7467 (2.8749) Prec@1 39.062 (38.659) Prec@5 67.969 (64.018) Epoch: [4][8800/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8991 (2.8749) Prec@1 42.188 (38.660) Prec@5 63.281 (64.018) Epoch: [4][8810/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.0118 (2.8749) Prec@1 42.188 (38.659) Prec@5 64.062 (64.014) Epoch: [4][8820/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9541 (2.8749) Prec@1 42.969 (38.662) Prec@5 60.938 (64.013) Epoch: [4][8830/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5820 (2.8748) Prec@1 46.875 (38.663) Prec@5 68.750 (64.013) Epoch: [4][8840/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8896 (2.8748) Prec@1 38.281 (38.663) Prec@5 66.406 (64.014) Epoch: [4][8850/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7454 (2.8747) Prec@1 41.406 (38.663) Prec@5 69.531 (64.015) Epoch: [4][8860/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5666 (2.8746) Prec@1 37.500 (38.667) Prec@5 71.094 (64.019) Epoch: [4][8870/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8323 (2.8745) Prec@1 33.594 (38.667) Prec@5 62.500 (64.019) Epoch: [4][8880/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5411 (2.8744) Prec@1 44.531 (38.668) Prec@5 69.531 (64.020) Epoch: [4][8890/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7180 (2.8744) Prec@1 41.406 (38.668) Prec@5 68.750 (64.020) Epoch: [4][8900/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6317 (2.8743) Prec@1 43.750 (38.671) Prec@5 67.188 (64.023) Epoch: [4][8910/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7868 (2.8744) Prec@1 39.062 (38.668) Prec@5 65.625 (64.021) Epoch: [4][8920/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8468 (2.8744) Prec@1 39.062 (38.668) Prec@5 66.406 (64.022) Epoch: [4][8930/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.2458 (2.8743) Prec@1 35.938 (38.668) Prec@5 56.250 (64.022) Epoch: [4][8940/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.1384 (2.8743) Prec@1 29.688 (38.667) Prec@5 57.812 (64.021) Epoch: [4][8950/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8385 (2.8744) Prec@1 38.281 (38.666) Prec@5 64.844 (64.020) Epoch: [4][8960/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0801 (2.8745) Prec@1 39.062 (38.666) Prec@5 63.281 (64.018) Epoch: [4][8970/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9942 (2.8744) Prec@1 30.469 (38.665) Prec@5 60.938 (64.018) Epoch: [4][8980/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8029 (2.8743) Prec@1 32.812 (38.665) Prec@5 68.750 (64.020) Epoch: [4][8990/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7685 (2.8743) Prec@1 38.281 (38.665) Prec@5 64.062 (64.018) Epoch: [4][9000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8114 (2.8742) Prec@1 33.594 (38.664) Prec@5 64.844 (64.018) Epoch: [4][9010/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9879 (2.8743) Prec@1 39.844 (38.665) Prec@5 64.844 (64.018) Epoch: [4][9020/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7080 (2.8742) Prec@1 41.406 (38.666) Prec@5 69.531 (64.021) Epoch: [4][9030/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9134 (2.8742) Prec@1 35.156 (38.666) Prec@5 64.844 (64.023) Epoch: [4][9040/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7410 (2.8742) Prec@1 39.844 (38.665) Prec@5 65.625 (64.024) Epoch: [4][9050/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8787 (2.8741) Prec@1 44.531 (38.670) Prec@5 61.719 (64.026) Epoch: [4][9060/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7047 (2.8740) Prec@1 36.719 (38.669) Prec@5 69.531 (64.026) Epoch: [4][9070/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9522 (2.8740) Prec@1 34.375 (38.670) Prec@5 62.500 (64.029) Epoch: [4][9080/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7302 (2.8739) Prec@1 38.281 (38.670) Prec@5 65.625 (64.031) Epoch: [4][9090/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7109 (2.8739) Prec@1 42.188 (38.669) Prec@5 65.625 (64.031) Epoch: [4][9100/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9215 (2.8740) Prec@1 40.625 (38.668) Prec@5 60.156 (64.027) Epoch: [4][9110/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6213 (2.8740) Prec@1 42.188 (38.668) Prec@5 67.188 (64.026) Epoch: [4][9120/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7975 (2.8739) Prec@1 42.188 (38.671) Prec@5 69.531 (64.027) Epoch: [4][9130/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7960 (2.8740) Prec@1 43.750 (38.670) Prec@5 67.969 (64.026) Epoch: [4][9140/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0847 (2.8739) Prec@1 30.469 (38.671) Prec@5 62.500 (64.028) Epoch: [4][9150/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9313 (2.8738) Prec@1 37.500 (38.672) Prec@5 62.500 (64.030) Epoch: [4][9160/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5089 (2.8738) Prec@1 46.094 (38.671) Prec@5 68.750 (64.030) Epoch: [4][9170/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8889 (2.8738) Prec@1 40.625 (38.671) Prec@5 62.500 (64.031) Epoch: [4][9180/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8370 (2.8737) Prec@1 40.625 (38.673) Prec@5 67.188 (64.032) Epoch: [4][9190/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7635 (2.8737) Prec@1 41.406 (38.673) Prec@5 68.750 (64.033) Epoch: [4][9200/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8456 (2.8736) Prec@1 36.719 (38.671) Prec@5 62.500 (64.032) Epoch: [4][9210/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9751 (2.8737) Prec@1 38.281 (38.670) Prec@5 60.156 (64.032) Epoch: [4][9220/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0812 (2.8738) Prec@1 31.250 (38.668) Prec@5 53.906 (64.027) Epoch: [4][9230/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8862 (2.8738) Prec@1 43.750 (38.670) Prec@5 62.500 (64.028) Epoch: [4][9240/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6720 (2.8738) Prec@1 41.406 (38.671) Prec@5 67.188 (64.028) Epoch: [4][9250/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9654 (2.8738) Prec@1 38.281 (38.669) Prec@5 67.188 (64.027) Epoch: [4][9260/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0048 (2.8739) Prec@1 37.500 (38.669) Prec@5 60.938 (64.025) Epoch: [4][9270/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.3952 (2.8739) Prec@1 28.125 (38.669) Prec@5 52.344 (64.023) Epoch: [4][9280/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.2038 (2.8738) Prec@1 30.469 (38.671) Prec@5 61.719 (64.026) Epoch: [4][9290/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6894 (2.8738) Prec@1 45.312 (38.672) Prec@5 67.969 (64.028) Epoch: [4][9300/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8644 (2.8738) Prec@1 41.406 (38.673) Prec@5 64.844 (64.030) Epoch: [4][9310/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8299 (2.8739) Prec@1 43.750 (38.672) Prec@5 67.188 (64.029) Epoch: [4][9320/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9912 (2.8739) Prec@1 37.500 (38.673) Prec@5 61.719 (64.029) Epoch: [4][9330/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6904 (2.8737) Prec@1 41.406 (38.674) Prec@5 64.844 (64.031) Epoch: [4][9340/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5691 (2.8736) Prec@1 46.094 (38.673) Prec@5 69.531 (64.031) Epoch: [4][9350/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0390 (2.8736) Prec@1 34.375 (38.673) Prec@5 64.062 (64.031) Epoch: [4][9360/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8953 (2.8736) Prec@1 35.938 (38.673) Prec@5 60.938 (64.032) Epoch: [4][9370/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7590 (2.8736) Prec@1 39.844 (38.674) Prec@5 67.188 (64.032) Epoch: [4][9380/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8189 (2.8737) Prec@1 36.719 (38.672) Prec@5 62.500 (64.031) Epoch: [4][9390/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.2170 (2.8737) Prec@1 30.469 (38.672) Prec@5 57.031 (64.031) Epoch: [4][9400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5523 (2.8736) Prec@1 45.312 (38.672) Prec@5 67.188 (64.033) /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: [4][9410/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 3.2854 (2.8737) Prec@1 35.156 (38.670) Prec@5 49.219 (64.029) Epoch: [4][9420/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.9744 (2.8736) Prec@1 37.500 (38.674) Prec@5 62.500 (64.031) Epoch: [4][9430/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8804 (2.8737) Prec@1 42.969 (38.672) Prec@5 64.844 (64.030) Epoch: [4][9440/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 3.0149 (2.8737) Prec@1 41.406 (38.671) Prec@5 59.375 (64.028) Epoch: [4][9450/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8385 (2.8737) Prec@1 40.625 (38.670) Prec@5 67.969 (64.028) Epoch: [4][9460/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6706 (2.8737) Prec@1 41.406 (38.670) Prec@5 64.062 (64.027) Epoch: [4][9470/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6946 (2.8736) Prec@1 41.406 (38.670) Prec@5 68.750 (64.028) Epoch: [4][9480/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0709 (2.8737) Prec@1 34.375 (38.667) Prec@5 60.156 (64.028) Epoch: [4][9490/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7933 (2.8737) Prec@1 42.188 (38.670) Prec@5 66.406 (64.029) Epoch: [4][9500/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9144 (2.8736) Prec@1 36.719 (38.671) Prec@5 64.844 (64.029) Epoch: [4][9510/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.2406 (2.8735) Prec@1 41.406 (38.671) Prec@5 57.812 (64.029) Epoch: [4][9520/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0810 (2.8735) Prec@1 32.031 (38.672) Prec@5 59.375 (64.030) Epoch: [4][9530/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7505 (2.8736) Prec@1 39.062 (38.672) Prec@5 67.188 (64.028) Epoch: [4][9540/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8293 (2.8736) Prec@1 38.281 (38.672) Prec@5 61.719 (64.028) Epoch: [4][9550/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8207 (2.8736) Prec@1 35.938 (38.672) Prec@5 64.062 (64.027) Epoch: [4][9560/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5779 (2.8735) Prec@1 39.844 (38.672) Prec@5 67.188 (64.027) Epoch: [4][9570/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6987 (2.8735) Prec@1 37.500 (38.671) Prec@5 66.406 (64.028) Epoch: [4][9580/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9849 (2.8733) Prec@1 38.281 (38.674) Prec@5 62.500 (64.031) Epoch: [4][9590/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.1133 (2.8733) Prec@1 35.156 (38.676) Prec@5 59.375 (64.032) Epoch: [4][9600/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6487 (2.8733) Prec@1 39.062 (38.676) Prec@5 62.500 (64.031) Epoch: [4][9610/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6803 (2.8734) Prec@1 46.094 (38.675) Prec@5 66.406 (64.029) Epoch: [4][9620/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6494 (2.8733) Prec@1 42.188 (38.675) Prec@5 67.969 (64.031) Epoch: [4][9630/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6944 (2.8732) Prec@1 39.844 (38.677) Prec@5 68.750 (64.034) Epoch: [4][9640/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8031 (2.8731) Prec@1 36.719 (38.676) Prec@5 63.281 (64.034) Epoch: [4][9650/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8368 (2.8731) Prec@1 38.281 (38.677) Prec@5 64.844 (64.033) Epoch: [4][9660/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0701 (2.8731) Prec@1 38.281 (38.678) Prec@5 60.938 (64.034) Epoch: [4][9670/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9495 (2.8731) Prec@1 32.031 (38.678) Prec@5 70.312 (64.035) Epoch: [4][9680/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8460 (2.8731) Prec@1 40.625 (38.677) Prec@5 69.531 (64.035) Epoch: [4][9690/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9519 (2.8731) Prec@1 37.500 (38.678) Prec@5 63.281 (64.034) Epoch: [4][9700/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7572 (2.8731) Prec@1 40.625 (38.678) Prec@5 66.406 (64.035) Epoch: [4][9710/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9894 (2.8732) Prec@1 37.500 (38.676) Prec@5 62.500 (64.035) Epoch: [4][9720/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8959 (2.8732) Prec@1 32.812 (38.676) Prec@5 63.281 (64.034) Epoch: [4][9730/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8416 (2.8732) Prec@1 40.625 (38.677) Prec@5 67.188 (64.033) Epoch: [4][9740/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.1394 (2.8733) Prec@1 35.156 (38.676) Prec@5 58.594 (64.032) Epoch: [4][9750/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4930 (2.8733) Prec@1 43.750 (38.677) Prec@5 63.281 (64.034) Epoch: [4][9760/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7539 (2.8733) Prec@1 38.281 (38.676) Prec@5 63.281 (64.033) Epoch: [4][9770/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8659 (2.8733) Prec@1 39.062 (38.676) Prec@5 64.844 (64.034) Epoch: [4][9780/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8044 (2.8733) Prec@1 38.281 (38.678) Prec@5 60.938 (64.034) Epoch: [4][9790/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7325 (2.8733) Prec@1 38.281 (38.676) Prec@5 61.719 (64.034) Epoch: [4][9800/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6846 (2.8731) Prec@1 45.312 (38.679) Prec@5 68.750 (64.036) Epoch: [4][9810/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7408 (2.8731) Prec@1 43.750 (38.679) Prec@5 67.188 (64.037) Epoch: [4][9820/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4953 (2.8729) Prec@1 46.094 (38.680) Prec@5 69.531 (64.039) Epoch: [4][9830/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8830 (2.8729) Prec@1 39.062 (38.681) Prec@5 64.844 (64.040) Epoch: [4][9840/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7592 (2.8729) Prec@1 37.500 (38.681) Prec@5 71.875 (64.040) Epoch: [4][9850/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.8226 (2.8730) Prec@1 40.625 (38.680) Prec@5 67.969 (64.039) Epoch: [4][9860/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4056 (2.8730) Prec@1 44.531 (38.680) Prec@5 71.875 (64.040) Epoch: [4][9870/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0408 (2.8730) Prec@1 37.500 (38.679) Prec@5 60.156 (64.040) Epoch: [4][9880/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.2388 (2.8730) Prec@1 31.250 (38.679) Prec@5 57.812 (64.040) Epoch: [4][9890/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.5084 (2.8730) Prec@1 39.844 (38.679) Prec@5 72.656 (64.040) Epoch: [4][9900/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5585 (2.8729) Prec@1 45.312 (38.680) Prec@5 76.562 (64.043) Epoch: [4][9910/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8953 (2.8729) Prec@1 38.281 (38.680) Prec@5 64.844 (64.044) Epoch: [4][9920/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9601 (2.8728) Prec@1 42.969 (38.684) Prec@5 61.719 (64.046) Epoch: [4][9930/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5978 (2.8728) Prec@1 47.656 (38.684) Prec@5 67.969 (64.045) Epoch: [4][9940/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6195 (2.8727) Prec@1 42.188 (38.687) Prec@5 70.312 (64.047) Epoch: [4][9950/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 3.1283 (2.8727) Prec@1 35.938 (38.687) Prec@5 57.812 (64.047) Epoch: [4][9960/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.9005 (2.8727) Prec@1 39.844 (38.688) Prec@5 66.406 (64.047) Epoch: [4][9970/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5118 (2.8726) Prec@1 44.531 (38.689) Prec@5 64.062 (64.049) Epoch: [4][9980/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5694 (2.8725) Prec@1 39.844 (38.689) Prec@5 71.875 (64.051) Epoch: [4][9990/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.9644 (2.8726) Prec@1 43.750 (38.688) Prec@5 62.500 (64.051) Epoch: [4][10000/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6209 (2.8726) Prec@1 42.188 (38.688) Prec@5 69.531 (64.051) Test: [0/391] Time 1.428 (1.428) Loss 1.1234 (1.1234) Prec@1 71.094 (71.094) Prec@5 89.062 (89.062) Test: [10/391] Time 0.109 (0.229) Loss 2.8650 (1.8314) Prec@1 41.406 (57.457) Prec@5 70.312 (81.960) Test: [20/391] Time 0.110 (0.173) Loss 2.6544 (2.3660) Prec@1 39.062 (47.582) Prec@5 67.969 (73.289) Test: [30/391] Time 0.105 (0.154) Loss 2.8289 (2.6302) Prec@1 35.938 (41.885) Prec@5 69.531 (70.338) Test: [40/391] Time 0.116 (0.144) Loss 2.2657 (2.4599) Prec@1 51.562 (45.332) Prec@5 74.219 (72.199) Test: [50/391] Time 0.107 (0.138) Loss 1.3970 (2.4340) Prec@1 64.062 (46.078) Prec@5 85.938 (72.518) Test: [60/391] Time 0.116 (0.133) Loss 2.1853 (2.3343) Prec@1 47.656 (48.143) Prec@5 79.688 (74.027) Test: [70/391] Time 0.101 (0.130) Loss 3.4774 (2.4194) Prec@1 22.656 (45.676) Prec@5 50.000 (72.535) Test: [80/391] Time 0.110 (0.128) Loss 3.6229 (2.5086) Prec@1 22.656 (43.104) Prec@5 50.000 (71.026) Test: [90/391] Time 0.103 (0.126) Loss 2.0543 (2.5241) Prec@1 42.188 (42.359) Prec@5 80.469 (70.699) Test: [100/391] Time 0.112 (0.124) Loss 2.8802 (2.5496) Prec@1 29.688 (41.391) Prec@5 62.500 (70.235) Test: [110/391] Time 0.107 (0.123) Loss 2.5908 (2.5703) Prec@1 35.938 (40.709) Prec@5 71.875 (69.883) Test: [120/391] Time 0.107 (0.121) Loss 2.1172 (2.5628) Prec@1 47.656 (40.825) Prec@5 75.781 (69.983) Test: [130/391] Time 0.106 (0.121) Loss 1.3364 (2.5294) Prec@1 62.500 (41.418) Prec@5 90.625 (70.635) Test: [140/391] Time 0.098 (0.120) Loss 2.7465 (2.5055) Prec@1 28.125 (41.628) Prec@5 74.219 (71.149) Test: [150/391] Time 0.110 (0.119) Loss 3.5421 (2.5030) Prec@1 19.531 (41.722) Prec@5 53.125 (71.099) Test: [160/391] Time 0.115 (0.118) Loss 2.6163 (2.5043) Prec@1 40.625 (41.891) Prec@5 68.750 (71.099) Test: [170/391] Time 0.104 (0.118) Loss 2.5505 (2.5395) Prec@1 46.094 (41.543) Prec@5 71.094 (70.395) Test: [180/391] Time 0.106 (0.117) Loss 3.3918 (2.5625) Prec@1 29.688 (41.182) Prec@5 57.812 (70.088) Test: [190/391] Time 0.112 (0.117) Loss 4.1551 (2.6102) Prec@1 26.562 (40.707) Prec@5 48.438 (69.204) Test: [200/391] Time 0.107 (0.116) Loss 3.1314 (2.6571) Prec@1 29.688 (39.918) Prec@5 57.031 (68.478) Test: [210/391] Time 0.180 (0.116) Loss 2.3719 (2.6725) Prec@1 45.312 (39.770) Prec@5 71.094 (68.202) Test: [220/391] Time 0.111 (0.116) Loss 2.0119 (2.6721) Prec@1 51.562 (39.890) Prec@5 77.344 (68.146) Test: [230/391] Time 0.119 (0.116) Loss 3.3781 (2.6832) Prec@1 25.000 (39.837) Prec@5 51.562 (67.972) Test: [240/391] Time 0.112 (0.116) Loss 3.4732 (2.7032) Prec@1 29.688 (39.724) Prec@5 51.562 (67.645) Test: [250/391] Time 0.106 (0.115) Loss 2.5523 (2.7165) Prec@1 46.875 (39.682) Prec@5 70.312 (67.471) Test: [260/391] Time 0.112 (0.115) Loss 3.5094 (2.7305) Prec@1 25.781 (39.491) Prec@5 53.906 (67.211) Test: [270/391] Time 0.104 (0.115) Loss 3.5525 (2.7428) Prec@1 22.656 (39.359) Prec@5 52.344 (66.974) Test: [280/391] Time 0.107 (0.115) Loss 2.8396 (2.7706) Prec@1 29.688 (39.012) Prec@5 67.188 (66.534) Test: [290/391] Time 0.116 (0.115) Loss 3.1727 (2.7806) Prec@1 24.219 (38.877) Prec@5 59.375 (66.355) Test: [300/391] Time 0.116 (0.114) Loss 3.2468 (2.7959) Prec@1 36.719 (38.710) Prec@5 62.500 (66.095) Test: [310/391] Time 0.108 (0.115) Loss 3.1567 (2.8150) Prec@1 40.625 (38.467) Prec@5 61.719 (65.778) Test: [320/391] Time 0.106 (0.114) Loss 1.6649 (2.8252) Prec@1 58.594 (38.437) Prec@5 86.719 (65.664) Test: [330/391] Time 0.111 (0.114) Loss 4.0036 (2.8627) Prec@1 18.750 (37.863) Prec@5 48.438 (65.089) Test: [340/391] Time 0.106 (0.114) Loss 3.4930 (2.8718) Prec@1 19.531 (37.688) Prec@5 62.500 (64.919) Test: [350/391] Time 0.108 (0.114) Loss 3.1535 (2.8782) Prec@1 27.344 (37.547) Prec@5 66.406 (64.830) Test: [360/391] Time 0.106 (0.114) Loss 2.8596 (2.8868) Prec@1 37.500 (37.489) Prec@5 63.281 (64.690) Test: [370/391] Time 0.114 (0.114) Loss 2.6168 (2.8822) Prec@1 35.938 (37.511) Prec@5 75.000 (64.821) Test: [380/391] Time 0.098 (0.114) Loss 2.3312 (2.8778) Prec@1 42.188 (37.607) Prec@5 71.094 (64.897) Test: [390/391] Time 0.072 (0.113) Loss 5.4119 (2.8561) Prec@1 8.750 (38.076) Prec@5 27.500 (65.218) * Prec@1 38.076 Prec@5 65.218 Epoch: [5][0/10010] Time 2.558 (2.558) Data 2.371 (2.371) Loss 3.0205 (3.0205) Prec@1 38.281 (38.281) Prec@5 64.062 (64.062) Epoch: [5][10/10010] Time 0.320 (0.525) Data 0.000 (0.224) Loss 2.7873 (3.0440) Prec@1 42.969 (36.293) Prec@5 68.750 (60.298) Epoch: [5][20/10010] Time 0.318 (0.429) Data 0.001 (0.118) Loss 2.9815 (2.9294) Prec@1 36.719 (38.207) Prec@5 57.031 (62.351) Epoch: [5][30/10010] Time 0.352 (0.397) Data 0.001 (0.080) Loss 2.5973 (2.8889) Prec@1 40.625 (38.407) Prec@5 74.219 (63.432) Epoch: [5][40/10010] Time 0.333 (0.380) Data 0.001 (0.061) Loss 2.5722 (2.8676) Prec@1 46.094 (39.005) Prec@5 69.531 (63.720) Epoch: [5][50/10010] Time 0.326 (0.370) Data 0.001 (0.049) Loss 3.0755 (2.8764) Prec@1 36.719 (39.338) Prec@5 55.469 (63.725) Epoch: [5][60/10010] Time 0.322 (0.363) Data 0.001 (0.041) Loss 2.8754 (2.8825) Prec@1 37.500 (39.114) Prec@5 62.500 (63.794) Epoch: [5][70/10010] Time 0.319 (0.358) Data 0.000 (0.035) Loss 2.7625 (2.8781) Prec@1 38.281 (39.217) Prec@5 61.719 (63.809) Epoch: [5][80/10010] Time 0.326 (0.354) Data 0.001 (0.031) Loss 2.4387 (2.8662) Prec@1 47.656 (39.487) Prec@5 69.531 (63.870) Epoch: [5][90/10010] Time 0.327 (0.351) Data 0.000 (0.028) Loss 2.8509 (2.8644) Prec@1 43.750 (39.586) Prec@5 67.188 (63.925) Epoch: [5][100/10010] Time 0.340 (0.349) Data 0.000 (0.025) Loss 2.8354 (2.8593) Prec@1 38.281 (39.588) Prec@5 64.062 (64.047) Epoch: [5][110/10010] Time 0.341 (0.348) Data 0.001 (0.023) Loss 3.0451 (2.8611) Prec@1 32.812 (39.555) Prec@5 60.156 (64.034) Epoch: [5][120/10010] Time 0.328 (0.347) Data 0.001 (0.021) Loss 2.8207 (2.8636) Prec@1 39.062 (39.495) Prec@5 64.844 (64.095) Epoch: [5][130/10010] Time 0.332 (0.346) Data 0.001 (0.019) Loss 2.7942 (2.8604) Prec@1 42.188 (39.420) Prec@5 67.969 (64.229) Epoch: [5][140/10010] Time 0.338 (0.346) Data 0.001 (0.018) Loss 2.6758 (2.8548) Prec@1 43.750 (39.345) Prec@5 66.406 (64.295) Epoch: [5][150/10010] Time 0.325 (0.345) Data 0.001 (0.017) Loss 2.7330 (2.8514) Prec@1 39.062 (39.357) Prec@5 66.406 (64.295) Epoch: [5][160/10010] Time 0.329 (0.344) Data 0.000 (0.016) Loss 3.0085 (2.8468) Prec@1 43.750 (39.538) Prec@5 64.062 (64.422) Epoch: [5][170/10010] Time 0.334 (0.344) Data 0.003 (0.015) Loss 2.7115 (2.8444) Prec@1 41.406 (39.469) Prec@5 64.062 (64.469) Epoch: [5][180/10010] Time 0.334 (0.344) Data 0.000 (0.014) Loss 2.9807 (2.8436) Prec@1 39.062 (39.516) Prec@5 68.750 (64.477) Epoch: [5][190/10010] Time 0.331 (0.343) Data 0.000 (0.014) Loss 2.3809 (2.8444) Prec@1 43.750 (39.541) Prec@5 70.312 (64.541) Epoch: [5][200/10010] Time 0.332 (0.343) Data 0.000 (0.013) Loss 2.6476 (2.8459) Prec@1 41.406 (39.490) Prec@5 65.625 (64.513) Epoch: [5][210/10010] Time 0.341 (0.342) Data 0.000 (0.012) Loss 2.9003 (2.8463) Prec@1 35.938 (39.462) Prec@5 57.812 (64.462) Epoch: [5][220/10010] Time 0.339 (0.342) Data 0.001 (0.012) Loss 2.3374 (2.8397) Prec@1 44.531 (39.639) Prec@5 71.875 (64.557) Epoch: [5][230/10010] Time 0.326 (0.342) Data 0.001 (0.011) Loss 2.8445 (2.8372) Prec@1 40.625 (39.600) Prec@5 66.406 (64.590) Epoch: [5][240/10010] Time 0.340 (0.342) Data 0.001 (0.011) Loss 3.0865 (2.8376) Prec@1 34.375 (39.575) Prec@5 57.812 (64.607) Epoch: [5][250/10010] Time 0.329 (0.342) Data 0.000 (0.010) Loss 3.0633 (2.8368) Prec@1 35.156 (39.601) Prec@5 55.469 (64.604) Epoch: [5][260/10010] Time 0.340 (0.341) Data 0.001 (0.010) Loss 3.0293 (2.8372) Prec@1 32.812 (39.565) Prec@5 64.844 (64.607) Epoch: [5][270/10010] Time 0.321 (0.341) Data 0.001 (0.010) Loss 3.2517 (2.8399) Prec@1 30.469 (39.495) Prec@5 59.375 (64.561) Epoch: [5][280/10010] Time 0.327 (0.341) Data 0.000 (0.009) Loss 2.9463 (2.8406) Prec@1 35.156 (39.468) Prec@5 64.844 (64.619) Epoch: [5][290/10010] Time 0.324 (0.340) Data 0.000 (0.009) Loss 2.5843 (2.8414) Prec@1 37.500 (39.460) Prec@5 68.750 (64.626) Epoch: [5][300/10010] Time 0.328 (0.340) Data 0.000 (0.009) Loss 2.2214 (2.8358) Prec@1 48.438 (39.509) Prec@5 73.438 (64.748) Epoch: [5][310/10010] Time 0.342 (0.339) Data 0.001 (0.009) Loss 2.4596 (2.8371) Prec@1 41.406 (39.505) Prec@5 71.094 (64.703) Epoch: [5][320/10010] Time 0.329 (0.339) Data 0.000 (0.008) Loss 2.8232 (2.8365) Prec@1 35.938 (39.486) Prec@5 61.719 (64.717) Epoch: [5][330/10010] Time 0.343 (0.339) Data 0.000 (0.008) Loss 2.6883 (2.8370) Prec@1 36.719 (39.502) Prec@5 66.406 (64.702) Epoch: [5][340/10010] Time 0.326 (0.339) Data 0.001 (0.008) Loss 2.6537 (2.8339) Prec@1 40.625 (39.560) Prec@5 70.312 (64.731) Epoch: [5][350/10010] Time 0.325 (0.339) Data 0.001 (0.008) Loss 3.0330 (2.8346) Prec@1 40.625 (39.532) Prec@5 59.375 (64.710) Epoch: [5][360/10010] Time 0.323 (0.338) Data 0.000 (0.007) Loss 2.7342 (2.8334) Prec@1 37.500 (39.534) Prec@5 60.938 (64.707) Epoch: [5][370/10010] Time 0.331 (0.338) Data 0.000 (0.007) Loss 2.9205 (2.8329) Prec@1 37.500 (39.538) Prec@5 61.719 (64.728) Epoch: [5][380/10010] Time 0.329 (0.338) Data 0.001 (0.007) Loss 2.7001 (2.8318) Prec@1 40.625 (39.542) Prec@5 67.969 (64.725) Epoch: [5][390/10010] Time 0.343 (0.338) Data 0.001 (0.007) Loss 3.0062 (2.8308) Prec@1 35.938 (39.548) Prec@5 64.062 (64.726) Epoch: [5][400/10010] Time 0.321 (0.337) Data 0.001 (0.007) Loss 3.2675 (2.8307) Prec@1 32.031 (39.518) Prec@5 58.594 (64.709) Epoch: [5][410/10010] Time 0.327 (0.337) Data 0.001 (0.007) Loss 3.3151 (2.8303) Prec@1 31.250 (39.503) Prec@5 57.031 (64.713) Epoch: [5][420/10010] Time 0.347 (0.337) Data 0.001 (0.006) Loss 2.7796 (2.8329) Prec@1 42.188 (39.480) Prec@5 64.062 (64.662) Epoch: [5][430/10010] Time 0.322 (0.337) Data 0.001 (0.006) Loss 2.7439 (2.8362) Prec@1 43.750 (39.449) Prec@5 67.188 (64.626) Epoch: [5][440/10010] Time 0.328 (0.337) Data 0.001 (0.006) Loss 2.8255 (2.8345) Prec@1 42.188 (39.454) Prec@5 64.844 (64.663) Epoch: [5][450/10010] Time 0.327 (0.337) Data 0.000 (0.006) Loss 2.9282 (2.8341) Prec@1 38.281 (39.447) Prec@5 61.719 (64.669) Epoch: [5][460/10010] Time 0.336 (0.337) Data 0.000 (0.006) Loss 3.0033 (2.8356) Prec@1 34.375 (39.427) Prec@5 60.156 (64.635) Epoch: [5][470/10010] Time 0.342 (0.336) Data 0.000 (0.006) Loss 2.7458 (2.8371) Prec@1 42.188 (39.399) Prec@5 64.844 (64.592) Epoch: [5][480/10010] Time 0.324 (0.336) Data 0.001 (0.006) Loss 3.1188 (2.8385) Prec@1 31.250 (39.347) Prec@5 60.156 (64.556) Epoch: [5][490/10010] Time 0.328 (0.336) Data 0.001 (0.006) Loss 2.7461 (2.8389) Prec@1 35.156 (39.343) Prec@5 69.531 (64.556) Epoch: [5][500/10010] Time 0.331 (0.336) Data 0.000 (0.006) Loss 2.8901 (2.8383) Prec@1 34.375 (39.314) Prec@5 63.281 (64.560) Epoch: [5][510/10010] Time 0.342 (0.336) Data 0.001 (0.005) Loss 2.6509 (2.8361) Prec@1 41.406 (39.347) Prec@5 62.500 (64.582) Epoch: [5][520/10010] Time 0.326 (0.336) Data 0.000 (0.005) Loss 3.0894 (2.8370) Prec@1 36.719 (39.331) Prec@5 60.938 (64.596) Epoch: [5][530/10010] Time 0.335 (0.336) Data 0.000 (0.005) Loss 2.8332 (2.8373) Prec@1 39.062 (39.361) Prec@5 67.188 (64.611) Epoch: [5][540/10010] Time 0.317 (0.336) Data 0.001 (0.005) Loss 2.8372 (2.8363) Prec@1 39.844 (39.359) Prec@5 67.969 (64.647) Epoch: [5][550/10010] Time 0.327 (0.336) Data 0.001 (0.005) Loss 2.9245 (2.8345) Prec@1 34.375 (39.349) Prec@5 64.844 (64.664) Epoch: [5][560/10010] Time 0.321 (0.336) Data 0.001 (0.005) Loss 2.6383 (2.8325) Prec@1 35.938 (39.388) Prec@5 68.750 (64.721) Epoch: [5][570/10010] Time 0.318 (0.336) Data 0.001 (0.005) Loss 3.0564 (2.8312) Prec@1 35.938 (39.421) Prec@5 60.938 (64.755) Epoch: [5][580/10010] Time 0.323 (0.335) Data 0.001 (0.005) Loss 2.8823 (2.8319) Prec@1 37.500 (39.401) Prec@5 61.719 (64.740) Epoch: [5][590/10010] Time 0.340 (0.335) Data 0.001 (0.005) Loss 2.6323 (2.8294) Prec@1 38.281 (39.427) Prec@5 66.406 (64.794) Epoch: [5][600/10010] Time 0.331 (0.335) Data 0.001 (0.005) Loss 2.9835 (2.8291) Prec@1 32.031 (39.406) Prec@5 70.312 (64.809) Epoch: [5][610/10010] Time 0.328 (0.335) Data 0.001 (0.005) Loss 2.9620 (2.8297) Prec@1 36.719 (39.395) Prec@5 57.812 (64.793) Epoch: [5][620/10010] Time 0.335 (0.335) Data 0.001 (0.005) Loss 3.0062 (2.8318) Prec@1 34.375 (39.376) Prec@5 62.500 (64.752) Epoch: [5][630/10010] Time 0.324 (0.335) Data 0.001 (0.005) Loss 2.5842 (2.8319) Prec@1 44.531 (39.382) Prec@5 71.094 (64.751) Epoch: [5][640/10010] Time 0.328 (0.335) Data 0.000 (0.004) Loss 2.8403 (2.8320) Prec@1 40.625 (39.378) Prec@5 60.938 (64.746) Epoch: [5][650/10010] Time 0.339 (0.335) Data 0.001 (0.004) Loss 2.6829 (2.8323) Prec@1 40.625 (39.393) Prec@5 71.094 (64.751) Epoch: [5][660/10010] Time 0.340 (0.335) Data 0.000 (0.004) Loss 3.1081 (2.8318) Prec@1 36.719 (39.380) Prec@5 60.938 (64.775) Epoch: [5][670/10010] Time 0.332 (0.335) Data 0.000 (0.004) Loss 2.4808 (2.8304) Prec@1 46.875 (39.392) Prec@5 71.875 (64.791) Epoch: [5][680/10010] Time 0.339 (0.335) Data 0.001 (0.004) Loss 2.8277 (2.8313) Prec@1 39.062 (39.370) Prec@5 64.844 (64.753) Epoch: [5][690/10010] Time 0.321 (0.335) Data 0.001 (0.004) Loss 2.9823 (2.8325) Prec@1 37.500 (39.343) Prec@5 65.625 (64.737) Epoch: [5][700/10010] Time 0.341 (0.335) Data 0.001 (0.004) Loss 2.8183 (2.8330) Prec@1 40.625 (39.358) Prec@5 64.844 (64.746) Epoch: [5][710/10010] Time 0.325 (0.335) Data 0.001 (0.004) Loss 3.0923 (2.8347) Prec@1 31.250 (39.337) Prec@5 61.719 (64.723) Epoch: [5][720/10010] Time 0.322 (0.335) Data 0.000 (0.004) Loss 2.9255 (2.8350) Prec@1 43.750 (39.341) Prec@5 65.625 (64.732) Epoch: [5][730/10010] Time 0.316 (0.334) Data 0.001 (0.004) Loss 3.1078 (2.8352) Prec@1 33.594 (39.324) Prec@5 60.938 (64.717) Epoch: [5][740/10010] Time 0.321 (0.334) Data 0.001 (0.004) Loss 2.8275 (2.8333) Prec@1 35.938 (39.369) Prec@5 64.844 (64.746) Epoch: [5][750/10010] Time 0.321 (0.334) Data 0.001 (0.004) Loss 2.8035 (2.8325) Prec@1 40.625 (39.371) Prec@5 65.625 (64.762) Epoch: [5][760/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 2.8311 (2.8319) Prec@1 39.062 (39.366) Prec@5 63.281 (64.778) Epoch: [5][770/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.6281 (2.8316) Prec@1 44.531 (39.366) Prec@5 67.969 (64.776) Epoch: [5][780/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 3.2350 (2.8336) Prec@1 35.938 (39.322) Prec@5 62.500 (64.742) Epoch: [5][790/10010] Time 0.332 (0.334) Data 0.001 (0.004) Loss 2.7632 (2.8329) Prec@1 40.625 (39.350) Prec@5 66.406 (64.753) Epoch: [5][800/10010] Time 0.334 (0.334) Data 0.001 (0.004) Loss 3.2102 (2.8348) Prec@1 30.469 (39.305) Prec@5 57.812 (64.736) Epoch: [5][810/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 2.9144 (2.8366) Prec@1 37.500 (39.255) Prec@5 60.156 (64.697) Epoch: [5][820/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.8341 (2.8366) Prec@1 38.281 (39.275) Prec@5 61.719 (64.694) Epoch: [5][830/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.8299 (2.8360) Prec@1 34.375 (39.298) Prec@5 64.062 (64.710) Epoch: [5][840/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 3.1923 (2.8361) Prec@1 33.594 (39.298) Prec@5 55.469 (64.690) Epoch: [5][850/10010] Time 0.335 (0.334) Data 0.000 (0.004) Loss 2.8505 (2.8365) Prec@1 39.844 (39.274) Prec@5 66.406 (64.688) Epoch: [5][860/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.5018 (2.8366) Prec@1 42.188 (39.253) Prec@5 71.094 (64.705) Epoch: [5][870/10010] Time 0.341 (0.334) Data 0.000 (0.003) Loss 2.5511 (2.8371) Prec@1 42.969 (39.261) Prec@5 66.406 (64.693) Epoch: [5][880/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 2.8654 (2.8376) Prec@1 39.844 (39.258) Prec@5 61.719 (64.676) Epoch: [5][890/10010] Time 0.317 (0.334) Data 0.001 (0.003) Loss 3.0707 (2.8381) Prec@1 37.500 (39.244) Prec@5 59.375 (64.654) Epoch: [5][900/10010] Time 0.340 (0.334) Data 0.000 (0.003) Loss 2.8126 (2.8376) Prec@1 43.750 (39.259) Prec@5 64.844 (64.659) Epoch: [5][910/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 2.6859 (2.8381) Prec@1 39.062 (39.254) Prec@5 70.312 (64.657) Epoch: [5][920/10010] Time 0.336 (0.334) Data 0.001 (0.003) Loss 2.8051 (2.8378) Prec@1 39.062 (39.258) Prec@5 67.188 (64.671) Epoch: [5][930/10010] Time 0.340 (0.334) Data 0.000 (0.003) Loss 2.5340 (2.8376) Prec@1 40.625 (39.269) Prec@5 69.531 (64.684) Epoch: [5][940/10010] Time 0.323 (0.334) Data 0.001 (0.003) Loss 2.7279 (2.8363) Prec@1 32.812 (39.278) Prec@5 69.531 (64.693) Epoch: [5][950/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 2.9306 (2.8370) Prec@1 32.812 (39.255) Prec@5 66.406 (64.693) Epoch: [5][960/10010] Time 0.330 (0.334) Data 0.001 (0.003) Loss 2.5188 (2.8363) Prec@1 42.188 (39.283) Prec@5 70.312 (64.707) Epoch: [5][970/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 3.2306 (2.8371) Prec@1 31.250 (39.289) Prec@5 53.906 (64.697) Epoch: [5][980/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.9743 (2.8358) Prec@1 39.844 (39.308) Prec@5 64.844 (64.720) Epoch: [5][990/10010] Time 0.332 (0.334) Data 0.001 (0.003) Loss 2.5386 (2.8349) Prec@1 43.750 (39.316) Prec@5 70.312 (64.726) Epoch: [5][1000/10010] Time 0.342 (0.334) Data 0.001 (0.003) Loss 2.8272 (2.8351) Prec@1 43.750 (39.315) Prec@5 65.625 (64.721) Epoch: [5][1010/10010] Time 0.319 (0.334) Data 0.001 (0.003) Loss 3.1051 (2.8355) Prec@1 32.812 (39.287) Prec@5 56.250 (64.706) Epoch: [5][1020/10010] Time 0.328 (0.334) Data 0.001 (0.003) Loss 2.7475 (2.8352) Prec@1 40.625 (39.280) Prec@5 65.625 (64.721) Epoch: [5][1030/10010] Time 0.330 (0.334) Data 0.000 (0.003) Loss 2.9495 (2.8354) Prec@1 42.188 (39.288) Prec@5 61.719 (64.712) Epoch: [5][1040/10010] Time 0.345 (0.334) Data 0.000 (0.003) Loss 2.4415 (2.8342) Prec@1 45.312 (39.314) Prec@5 70.312 (64.734) Epoch: [5][1050/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 2.4774 (2.8345) Prec@1 46.875 (39.308) Prec@5 72.656 (64.726) Epoch: [5][1060/10010] Time 0.319 (0.334) Data 0.001 (0.003) Loss 3.0443 (2.8339) Prec@1 33.594 (39.310) Prec@5 63.281 (64.733) Epoch: [5][1070/10010] Time 0.329 (0.334) Data 0.001 (0.003) Loss 2.8858 (2.8344) Prec@1 39.062 (39.300) Prec@5 65.625 (64.724) Epoch: [5][1080/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 3.1007 (2.8343) Prec@1 37.500 (39.298) Prec@5 62.500 (64.721) Epoch: [5][1090/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.6152 (2.8337) Prec@1 42.188 (39.321) Prec@5 67.969 (64.751) Epoch: [5][1100/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 3.2015 (2.8352) Prec@1 32.812 (39.292) Prec@5 59.375 (64.727) Epoch: [5][1110/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.6038 (2.8337) Prec@1 39.062 (39.329) Prec@5 70.312 (64.751) Epoch: [5][1120/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.8174 (2.8342) Prec@1 40.625 (39.313) Prec@5 64.844 (64.746) Epoch: [5][1130/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.7126 (2.8354) Prec@1 39.844 (39.295) Prec@5 65.625 (64.730) Epoch: [5][1140/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.7372 (2.8352) Prec@1 42.969 (39.312) Prec@5 69.531 (64.735) Epoch: [5][1150/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.6938 (2.8344) Prec@1 42.969 (39.335) Prec@5 64.062 (64.734) Epoch: [5][1160/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 2.7183 (2.8351) Prec@1 42.188 (39.326) Prec@5 64.062 (64.715) Epoch: [5][1170/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.9206 (2.8349) Prec@1 32.031 (39.335) Prec@5 61.719 (64.711) Epoch: [5][1180/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.7718 (2.8347) Prec@1 46.875 (39.360) Prec@5 65.625 (64.709) Epoch: [5][1190/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.9850 (2.8348) Prec@1 35.938 (39.347) Prec@5 62.500 (64.707) Epoch: [5][1200/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 2.9140 (2.8363) Prec@1 37.500 (39.336) Prec@5 65.625 (64.693) Epoch: [5][1210/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.9563 (2.8371) Prec@1 39.844 (39.337) Prec@5 64.844 (64.690) Epoch: [5][1220/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 2.5576 (2.8376) Prec@1 35.938 (39.316) Prec@5 70.312 (64.690) Epoch: [5][1230/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.7553 (2.8374) Prec@1 41.406 (39.327) Prec@5 67.969 (64.714) Epoch: [5][1240/10010] Time 0.317 (0.333) Data 0.000 (0.003) Loss 2.8430 (2.8374) Prec@1 35.938 (39.316) Prec@5 65.625 (64.707) Epoch: [5][1250/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.8048 (2.8373) Prec@1 38.281 (39.326) Prec@5 68.750 (64.712) Epoch: [5][1260/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.6146 (2.8367) Prec@1 43.750 (39.333) Prec@5 65.625 (64.723) Epoch: [5][1270/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 3.0405 (2.8362) Prec@1 33.594 (39.325) Prec@5 60.156 (64.732) Epoch: [5][1280/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 2.8992 (2.8362) Prec@1 43.750 (39.328) Prec@5 64.062 (64.725) Epoch: [5][1290/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.8312 (2.8368) Prec@1 42.188 (39.326) Prec@5 67.969 (64.716) Epoch: [5][1300/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.6969 (2.8363) Prec@1 47.656 (39.339) Prec@5 69.531 (64.719) Epoch: [5][1310/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.5700 (2.8358) Prec@1 42.188 (39.328) Prec@5 71.875 (64.727) Epoch: [5][1320/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 3.0906 (2.8355) Prec@1 32.031 (39.333) Prec@5 56.250 (64.727) Epoch: [5][1330/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.8372 (2.8354) Prec@1 34.375 (39.323) Prec@5 62.500 (64.733) Epoch: [5][1340/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.8610 (2.8357) Prec@1 36.719 (39.312) Prec@5 62.500 (64.721) Epoch: [5][1350/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.9258 (2.8357) Prec@1 35.156 (39.309) Prec@5 60.156 (64.708) Epoch: [5][1360/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 3.0478 (2.8352) Prec@1 31.250 (39.314) Prec@5 58.594 (64.707) Epoch: [5][1370/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.7393 (2.8342) Prec@1 33.594 (39.319) Prec@5 64.062 (64.725) Epoch: [5][1380/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.7050 (2.8347) Prec@1 44.531 (39.320) Prec@5 69.531 (64.724) Epoch: [5][1390/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.5625 (2.8350) Prec@1 40.625 (39.321) Prec@5 74.219 (64.711) Epoch: [5][1400/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.8195 (2.8353) Prec@1 35.938 (39.307) Prec@5 64.844 (64.719) Epoch: [5][1410/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.5905 (2.8346) Prec@1 42.969 (39.318) Prec@5 67.188 (64.736) Epoch: [5][1420/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.9366 (2.8350) Prec@1 34.375 (39.317) Prec@5 67.188 (64.734) Epoch: [5][1430/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 3.1681 (2.8347) Prec@1 38.281 (39.319) Prec@5 60.938 (64.745) Epoch: [5][1440/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 2.7459 (2.8342) Prec@1 39.844 (39.320) Prec@5 62.500 (64.742) Epoch: [5][1450/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 2.7248 (2.8344) Prec@1 42.969 (39.321) Prec@5 67.188 (64.740) Epoch: [5][1460/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 3.3814 (2.8357) Prec@1 31.250 (39.311) Prec@5 53.125 (64.716) Epoch: [5][1470/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 3.0426 (2.8363) Prec@1 34.375 (39.297) Prec@5 64.062 (64.714) Epoch: [5][1480/10010] Time 0.336 (0.333) Data 0.002 (0.002) Loss 2.4035 (2.8359) Prec@1 48.438 (39.316) Prec@5 72.656 (64.713) Epoch: [5][1490/10010] Time 0.348 (0.333) Data 0.000 (0.002) Loss 2.7576 (2.8352) Prec@1 43.750 (39.330) Prec@5 70.312 (64.726) Epoch: [5][1500/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.9302 (2.8351) Prec@1 40.625 (39.331) Prec@5 65.625 (64.728) Epoch: [5][1510/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.3132 (2.8348) Prec@1 54.688 (39.338) Prec@5 70.312 (64.725) Epoch: [5][1520/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 3.1341 (2.8344) Prec@1 37.500 (39.338) Prec@5 55.469 (64.724) Epoch: [5][1530/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.8814 (2.8345) Prec@1 37.500 (39.333) Prec@5 60.938 (64.724) Epoch: [5][1540/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.7823 (2.8344) Prec@1 41.406 (39.337) Prec@5 64.844 (64.719) Epoch: [5][1550/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.8181 (2.8339) Prec@1 42.188 (39.350) Prec@5 61.719 (64.723) Epoch: [5][1560/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.8605 (2.8344) Prec@1 36.719 (39.337) Prec@5 62.500 (64.720) Epoch: [5][1570/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.7465 (2.8347) Prec@1 42.188 (39.345) Prec@5 65.625 (64.706) Epoch: [5][1580/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 3.1294 (2.8345) Prec@1 28.125 (39.341) Prec@5 61.719 (64.708) Epoch: [5][1590/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 3.1655 (2.8339) Prec@1 32.812 (39.345) Prec@5 62.500 (64.723) Epoch: [5][1600/10010] Time 0.348 (0.333) Data 0.000 (0.002) Loss 2.3046 (2.8335) Prec@1 43.750 (39.342) Prec@5 71.094 (64.726) Epoch: [5][1610/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 3.1218 (2.8341) Prec@1 34.375 (39.330) Prec@5 56.250 (64.703) Epoch: [5][1620/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.8336 (2.8333) Prec@1 38.281 (39.340) Prec@5 63.281 (64.724) Epoch: [5][1630/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.5927 (2.8338) Prec@1 43.750 (39.326) Prec@5 72.656 (64.724) Epoch: [5][1640/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 3.0527 (2.8347) Prec@1 40.625 (39.311) Prec@5 63.281 (64.701) Epoch: [5][1650/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.8397 (2.8342) Prec@1 42.969 (39.319) Prec@5 66.406 (64.717) Epoch: [5][1660/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.9327 (2.8349) Prec@1 35.938 (39.309) Prec@5 63.281 (64.703) Epoch: [5][1670/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.6347 (2.8347) Prec@1 41.406 (39.315) Prec@5 66.406 (64.704) Epoch: [5][1680/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.9290 (2.8346) Prec@1 39.844 (39.324) Prec@5 63.281 (64.705) Epoch: [5][1690/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.7931 (2.8340) Prec@1 41.406 (39.334) Prec@5 69.531 (64.719) Epoch: [5][1700/10010] Time 0.349 (0.333) Data 0.000 (0.002) Loss 2.8497 (2.8339) Prec@1 35.156 (39.337) Prec@5 69.531 (64.723) Epoch: [5][1710/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.9658 (2.8343) Prec@1 38.281 (39.326) Prec@5 61.719 (64.716) Epoch: [5][1720/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.9426 (2.8343) Prec@1 38.281 (39.315) Prec@5 62.500 (64.710) Epoch: [5][1730/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.9315 (2.8343) Prec@1 39.062 (39.317) Prec@5 59.375 (64.705) Epoch: [5][1740/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 3.2855 (2.8346) Prec@1 30.469 (39.307) Prec@5 59.375 (64.698) Epoch: [5][1750/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.8479 (2.8346) Prec@1 41.406 (39.314) Prec@5 63.281 (64.697) Epoch: [5][1760/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.7182 (2.8347) Prec@1 37.500 (39.320) Prec@5 67.188 (64.689) /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: [5][1770/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.8289 (2.8347) Prec@1 40.625 (39.324) Prec@5 64.844 (64.700) Epoch: [5][1780/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.8311 (2.8345) Prec@1 36.719 (39.316) Prec@5 64.062 (64.700) Epoch: [5][1790/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.4433 (2.8337) Prec@1 50.000 (39.337) Prec@5 71.094 (64.715) Epoch: [5][1800/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.7320 (2.8334) Prec@1 45.312 (39.353) Prec@5 67.188 (64.717) Epoch: [5][1810/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.9066 (2.8337) Prec@1 35.938 (39.342) Prec@5 63.281 (64.715) Epoch: [5][1820/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.4674 (2.8340) Prec@1 38.281 (39.341) Prec@5 70.312 (64.706) Epoch: [5][1830/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.8103 (2.8339) Prec@1 42.188 (39.339) Prec@5 68.750 (64.708) Epoch: [5][1840/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.7095 (2.8340) Prec@1 38.281 (39.340) Prec@5 67.969 (64.705) Epoch: [5][1850/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.8383 (2.8342) Prec@1 35.156 (39.336) Prec@5 65.625 (64.704) Epoch: [5][1860/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 3.1374 (2.8342) Prec@1 36.719 (39.340) Prec@5 60.938 (64.700) Epoch: [5][1870/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.7866 (2.8347) Prec@1 38.281 (39.328) Prec@5 62.500 (64.688) Epoch: [5][1880/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.9079 (2.8348) Prec@1 35.156 (39.318) Prec@5 64.062 (64.678) Epoch: [5][1890/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.5842 (2.8350) Prec@1 44.531 (39.317) Prec@5 69.531 (64.685) Epoch: [5][1900/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.8563 (2.8346) Prec@1 42.188 (39.323) Prec@5 64.062 (64.688) Epoch: [5][1910/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 2.9337 (2.8350) Prec@1 38.281 (39.323) Prec@5 60.938 (64.684) Epoch: [5][1920/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.5749 (2.8350) Prec@1 44.531 (39.311) Prec@5 64.844 (64.681) Epoch: [5][1930/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.9176 (2.8347) Prec@1 43.750 (39.325) Prec@5 63.281 (64.692) Epoch: [5][1940/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.6175 (2.8349) Prec@1 39.062 (39.325) Prec@5 68.750 (64.691) Epoch: [5][1950/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.5850 (2.8350) Prec@1 44.531 (39.324) Prec@5 67.969 (64.689) Epoch: [5][1960/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.9533 (2.8351) Prec@1 39.062 (39.323) Prec@5 61.719 (64.688) Epoch: [5][1970/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.9241 (2.8349) Prec@1 38.281 (39.328) Prec@5 67.969 (64.697) Epoch: [5][1980/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.9575 (2.8354) Prec@1 42.188 (39.330) Prec@5 61.719 (64.686) Epoch: [5][1990/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.8271 (2.8354) Prec@1 39.844 (39.344) Prec@5 60.938 (64.691) Epoch: [5][2000/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.9716 (2.8359) Prec@1 36.719 (39.346) Prec@5 64.062 (64.684) Epoch: [5][2010/10010] Time 0.346 (0.333) Data 0.001 (0.002) Loss 2.6384 (2.8356) Prec@1 32.812 (39.346) Prec@5 61.719 (64.688) Epoch: [5][2020/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.7559 (2.8352) Prec@1 39.062 (39.354) Prec@5 68.750 (64.703) Epoch: [5][2030/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.8720 (2.8350) Prec@1 39.844 (39.361) Prec@5 57.812 (64.699) Epoch: [5][2040/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.7442 (2.8350) Prec@1 47.656 (39.364) Prec@5 65.625 (64.700) Epoch: [5][2050/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 3.0177 (2.8351) Prec@1 34.375 (39.363) Prec@5 61.719 (64.695) Epoch: [5][2060/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.7576 (2.8354) Prec@1 39.062 (39.354) Prec@5 65.625 (64.694) Epoch: [5][2070/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.5027 (2.8349) Prec@1 44.531 (39.366) Prec@5 71.094 (64.704) Epoch: [5][2080/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.7161 (2.8352) Prec@1 42.188 (39.364) Prec@5 67.969 (64.703) Epoch: [5][2090/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.6988 (2.8352) Prec@1 45.312 (39.367) Prec@5 67.188 (64.704) Epoch: [5][2100/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.7483 (2.8346) Prec@1 49.219 (39.386) Prec@5 65.625 (64.718) Epoch: [5][2110/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 2.6104 (2.8343) Prec@1 40.625 (39.391) Prec@5 71.094 (64.725) Epoch: [5][2120/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.8926 (2.8342) Prec@1 38.281 (39.387) Prec@5 64.062 (64.724) Epoch: [5][2130/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.9406 (2.8342) Prec@1 35.938 (39.390) Prec@5 67.969 (64.722) Epoch: [5][2140/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.7980 (2.8341) Prec@1 36.719 (39.395) Prec@5 65.625 (64.721) Epoch: [5][2150/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.9518 (2.8342) Prec@1 32.812 (39.392) Prec@5 59.375 (64.724) Epoch: [5][2160/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.5608 (2.8339) Prec@1 43.750 (39.403) Prec@5 66.406 (64.733) Epoch: [5][2170/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.8639 (2.8333) Prec@1 42.969 (39.411) Prec@5 60.938 (64.742) Epoch: [5][2180/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.7316 (2.8335) Prec@1 45.312 (39.400) Prec@5 67.969 (64.741) Epoch: [5][2190/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 3.0498 (2.8335) Prec@1 36.719 (39.401) Prec@5 63.281 (64.741) Epoch: [5][2200/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.8979 (2.8334) Prec@1 39.844 (39.400) Prec@5 64.844 (64.737) Epoch: [5][2210/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.5249 (2.8336) Prec@1 47.656 (39.402) Prec@5 67.969 (64.732) Epoch: [5][2220/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.8321 (2.8338) Prec@1 42.188 (39.404) Prec@5 65.625 (64.728) Epoch: [5][2230/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 3.5434 (2.8343) Prec@1 32.812 (39.398) Prec@5 56.250 (64.720) /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: [5][2240/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 3.1802 (2.8342) Prec@1 39.844 (39.413) Prec@5 60.156 (64.719) Epoch: [5][2250/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.7391 (2.8340) Prec@1 42.969 (39.414) Prec@5 69.531 (64.719) Epoch: [5][2260/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.6825 (2.8342) Prec@1 42.969 (39.411) Prec@5 71.094 (64.716) Epoch: [5][2270/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.7297 (2.8342) Prec@1 39.062 (39.406) Prec@5 68.750 (64.717) Epoch: [5][2280/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.3509 (2.8341) Prec@1 42.188 (39.400) Prec@5 73.438 (64.724) Epoch: [5][2290/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.7658 (2.8340) Prec@1 41.406 (39.405) Prec@5 64.062 (64.725) Epoch: [5][2300/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.6325 (2.8342) Prec@1 43.750 (39.402) Prec@5 68.750 (64.723) Epoch: [5][2310/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 3.0634 (2.8341) Prec@1 35.156 (39.404) Prec@5 58.594 (64.722) Epoch: [5][2320/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 2.9301 (2.8340) Prec@1 39.062 (39.409) Prec@5 60.156 (64.726) Epoch: [5][2330/10010] Time 0.323 (0.333) Data 0.004 (0.002) Loss 2.7747 (2.8342) Prec@1 47.656 (39.407) Prec@5 65.625 (64.721) Epoch: [5][2340/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.7974 (2.8337) Prec@1 34.375 (39.416) Prec@5 65.625 (64.734) Epoch: [5][2350/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.8528 (2.8333) Prec@1 38.281 (39.425) Prec@5 65.625 (64.739) Epoch: [5][2360/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.5134 (2.8335) Prec@1 52.344 (39.427) Prec@5 71.875 (64.741) Epoch: [5][2370/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.7566 (2.8335) Prec@1 45.312 (39.434) Prec@5 65.625 (64.740) Epoch: [5][2380/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.4459 (2.8334) Prec@1 48.438 (39.434) Prec@5 74.219 (64.739) Epoch: [5][2390/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 3.0928 (2.8341) Prec@1 39.062 (39.427) Prec@5 59.375 (64.733) Epoch: [5][2400/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.7459 (2.8343) Prec@1 41.406 (39.422) Prec@5 65.625 (64.729) Epoch: [5][2410/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.6409 (2.8342) Prec@1 39.062 (39.424) Prec@5 64.844 (64.728) Epoch: [5][2420/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.8356 (2.8342) Prec@1 40.625 (39.421) Prec@5 63.281 (64.726) Epoch: [5][2430/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.9645 (2.8347) Prec@1 34.375 (39.410) Prec@5 64.062 (64.720) Epoch: [5][2440/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 2.7461 (2.8344) Prec@1 37.500 (39.405) Prec@5 68.750 (64.727) Epoch: [5][2450/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 3.0110 (2.8341) Prec@1 35.156 (39.410) Prec@5 57.812 (64.729) Epoch: [5][2460/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 3.0102 (2.8341) Prec@1 39.844 (39.417) Prec@5 66.406 (64.735) Epoch: [5][2470/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.7813 (2.8343) Prec@1 43.750 (39.417) Prec@5 66.406 (64.736) Epoch: [5][2480/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 3.0727 (2.8347) Prec@1 39.062 (39.414) Prec@5 60.938 (64.731) Epoch: [5][2490/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.6237 (2.8342) Prec@1 39.844 (39.425) Prec@5 64.844 (64.740) Epoch: [5][2500/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.3539 (2.8340) Prec@1 51.562 (39.433) Prec@5 71.875 (64.745) Epoch: [5][2510/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.9558 (2.8337) Prec@1 32.812 (39.434) Prec@5 57.812 (64.752) Epoch: [5][2520/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.5134 (2.8337) Prec@1 42.188 (39.438) Prec@5 67.188 (64.748) Epoch: [5][2530/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 3.1208 (2.8337) Prec@1 36.719 (39.444) Prec@5 61.719 (64.748) Epoch: [5][2540/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 3.0736 (2.8337) Prec@1 33.594 (39.446) Prec@5 67.969 (64.752) Epoch: [5][2550/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.8156 (2.8338) Prec@1 40.625 (39.447) Prec@5 61.719 (64.751) Epoch: [5][2560/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.9994 (2.8342) Prec@1 39.062 (39.440) Prec@5 63.281 (64.742) Epoch: [5][2570/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.7742 (2.8342) Prec@1 39.844 (39.445) Prec@5 68.750 (64.741) Epoch: [5][2580/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.8595 (2.8344) Prec@1 32.812 (39.443) Prec@5 64.844 (64.743) Epoch: [5][2590/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 3.3128 (2.8345) Prec@1 30.469 (39.440) Prec@5 52.344 (64.741) Epoch: [5][2600/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.7906 (2.8347) Prec@1 42.188 (39.436) Prec@5 65.625 (64.736) Epoch: [5][2610/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.5517 (2.8346) Prec@1 44.531 (39.442) Prec@5 67.969 (64.738) Epoch: [5][2620/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.6695 (2.8349) Prec@1 37.500 (39.444) Prec@5 69.531 (64.742) Epoch: [5][2630/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.6565 (2.8347) Prec@1 46.875 (39.448) Prec@5 67.188 (64.746) Epoch: [5][2640/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.4308 (2.8349) Prec@1 42.188 (39.446) Prec@5 70.312 (64.745) Epoch: [5][2650/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.8164 (2.8346) Prec@1 37.500 (39.449) Prec@5 63.281 (64.747) Epoch: [5][2660/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.7902 (2.8345) Prec@1 36.719 (39.445) Prec@5 67.188 (64.752) Epoch: [5][2670/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.9647 (2.8349) Prec@1 41.406 (39.435) Prec@5 64.844 (64.748) Epoch: [5][2680/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.6419 (2.8347) Prec@1 39.062 (39.438) Prec@5 70.312 (64.753) Epoch: [5][2690/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.8174 (2.8345) Prec@1 39.844 (39.438) Prec@5 68.750 (64.759) Epoch: [5][2700/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 3.0979 (2.8347) Prec@1 35.156 (39.436) Prec@5 59.375 (64.759) Epoch: [5][2710/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 2.8199 (2.8346) Prec@1 45.312 (39.438) Prec@5 67.188 (64.759) Epoch: [5][2720/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.8940 (2.8345) Prec@1 38.281 (39.435) Prec@5 60.938 (64.758) Epoch: [5][2730/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.6842 (2.8342) Prec@1 43.750 (39.438) Prec@5 61.719 (64.758) Epoch: [5][2740/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.5932 (2.8341) Prec@1 46.094 (39.446) Prec@5 66.406 (64.761) Epoch: [5][2750/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.7848 (2.8340) Prec@1 39.844 (39.451) Prec@5 63.281 (64.765) Epoch: [5][2760/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 3.0830 (2.8342) Prec@1 39.844 (39.450) Prec@5 60.938 (64.761) Epoch: [5][2770/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.7628 (2.8336) Prec@1 40.625 (39.462) Prec@5 61.719 (64.771) Epoch: [5][2780/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.5334 (2.8337) Prec@1 44.531 (39.461) Prec@5 73.438 (64.770) Epoch: [5][2790/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.5833 (2.8333) Prec@1 48.438 (39.465) Prec@5 65.625 (64.774) Epoch: [5][2800/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.7548 (2.8329) Prec@1 45.312 (39.474) Prec@5 70.312 (64.789) Epoch: [5][2810/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.9539 (2.8329) Prec@1 35.938 (39.469) Prec@5 61.719 (64.789) Epoch: [5][2820/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.0409 (2.8330) Prec@1 35.938 (39.463) Prec@5 60.938 (64.787) Epoch: [5][2830/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.9460 (2.8328) Prec@1 27.344 (39.461) Prec@5 66.406 (64.789) Epoch: [5][2840/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.4926 (2.8329) Prec@1 47.656 (39.457) Prec@5 74.219 (64.793) Epoch: [5][2850/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.0029 (2.8330) Prec@1 32.812 (39.457) Prec@5 61.719 (64.793) Epoch: [5][2860/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5703 (2.8327) Prec@1 43.750 (39.463) Prec@5 71.094 (64.797) Epoch: [5][2870/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7139 (2.8327) Prec@1 43.750 (39.460) Prec@5 63.281 (64.796) Epoch: [5][2880/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7283 (2.8326) Prec@1 45.312 (39.459) Prec@5 61.719 (64.791) Epoch: [5][2890/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.3600 (2.8331) Prec@1 28.125 (39.457) Prec@5 50.781 (64.783) Epoch: [5][2900/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6992 (2.8331) Prec@1 39.062 (39.454) Prec@5 64.844 (64.782) Epoch: [5][2910/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.5460 (2.8335) Prec@1 39.062 (39.447) Prec@5 71.875 (64.774) Epoch: [5][2920/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9597 (2.8336) Prec@1 34.375 (39.444) Prec@5 59.375 (64.775) Epoch: [5][2930/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.8003 (2.8335) Prec@1 40.625 (39.444) Prec@5 62.500 (64.776) Epoch: [5][2940/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7776 (2.8336) Prec@1 42.188 (39.444) Prec@5 67.188 (64.774) Epoch: [5][2950/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6872 (2.8333) Prec@1 37.500 (39.442) Prec@5 64.844 (64.775) Epoch: [5][2960/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7527 (2.8331) Prec@1 38.281 (39.446) Prec@5 61.719 (64.780) Epoch: [5][2970/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9975 (2.8335) Prec@1 35.156 (39.441) Prec@5 57.031 (64.773) Epoch: [5][2980/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8973 (2.8339) Prec@1 36.719 (39.432) Prec@5 60.938 (64.767) Epoch: [5][2990/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7587 (2.8337) Prec@1 38.281 (39.432) Prec@5 67.969 (64.770) Epoch: [5][3000/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0945 (2.8342) Prec@1 33.594 (39.421) Prec@5 59.375 (64.768) Epoch: [5][3010/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6924 (2.8344) Prec@1 39.844 (39.413) Prec@5 70.312 (64.763) Epoch: [5][3020/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8448 (2.8345) Prec@1 37.500 (39.412) Prec@5 66.406 (64.759) Epoch: [5][3030/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0930 (2.8347) Prec@1 33.594 (39.404) Prec@5 64.062 (64.755) Epoch: [5][3040/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.1625 (2.8354) Prec@1 32.812 (39.396) Prec@5 60.156 (64.743) Epoch: [5][3050/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6458 (2.8351) Prec@1 41.406 (39.401) Prec@5 68.750 (64.747) Epoch: [5][3060/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.1334 (2.8353) Prec@1 33.594 (39.393) Prec@5 63.281 (64.741) Epoch: [5][3070/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7282 (2.8349) Prec@1 41.406 (39.397) Prec@5 67.188 (64.745) Epoch: [5][3080/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8301 (2.8347) Prec@1 38.281 (39.405) Prec@5 64.062 (64.752) Epoch: [5][3090/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5480 (2.8346) Prec@1 39.844 (39.403) Prec@5 68.750 (64.757) Epoch: [5][3100/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5489 (2.8344) Prec@1 41.406 (39.406) Prec@5 67.969 (64.756) Epoch: [5][3110/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9019 (2.8343) Prec@1 33.594 (39.405) Prec@5 65.625 (64.760) Epoch: [5][3120/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8681 (2.8344) Prec@1 35.938 (39.408) Prec@5 64.062 (64.761) Epoch: [5][3130/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8799 (2.8345) Prec@1 39.062 (39.407) Prec@5 64.844 (64.760) Epoch: [5][3140/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8767 (2.8342) Prec@1 44.531 (39.413) Prec@5 67.188 (64.765) Epoch: [5][3150/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8424 (2.8344) Prec@1 34.375 (39.407) Prec@5 62.500 (64.762) Epoch: [5][3160/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5886 (2.8343) Prec@1 43.750 (39.406) Prec@5 66.406 (64.763) Epoch: [5][3170/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9570 (2.8343) Prec@1 35.156 (39.403) Prec@5 63.281 (64.764) Epoch: [5][3180/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7808 (2.8342) Prec@1 40.625 (39.406) Prec@5 66.406 (64.764) Epoch: [5][3190/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5462 (2.8340) Prec@1 45.312 (39.406) Prec@5 67.969 (64.762) Epoch: [5][3200/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.3340 (2.8337) Prec@1 49.219 (39.413) Prec@5 73.438 (64.765) Epoch: [5][3210/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7573 (2.8338) Prec@1 43.750 (39.414) Prec@5 66.406 (64.760) Epoch: [5][3220/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9354 (2.8334) Prec@1 32.812 (39.420) Prec@5 67.969 (64.769) Epoch: [5][3230/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7475 (2.8332) Prec@1 42.188 (39.421) Prec@5 65.625 (64.770) Epoch: [5][3240/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5085 (2.8329) Prec@1 42.188 (39.423) Prec@5 70.312 (64.776) Epoch: [5][3250/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8380 (2.8326) Prec@1 43.750 (39.430) Prec@5 65.625 (64.779) Epoch: [5][3260/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8574 (2.8328) Prec@1 42.969 (39.424) Prec@5 62.500 (64.770) Epoch: [5][3270/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8783 (2.8323) Prec@1 34.375 (39.429) Prec@5 64.062 (64.782) Epoch: [5][3280/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.0769 (2.8320) Prec@1 38.281 (39.434) Prec@5 60.156 (64.789) Epoch: [5][3290/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8703 (2.8321) Prec@1 44.531 (39.440) Prec@5 65.625 (64.790) Epoch: [5][3300/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7738 (2.8321) Prec@1 35.938 (39.438) Prec@5 64.062 (64.795) Epoch: [5][3310/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5151 (2.8322) Prec@1 44.531 (39.434) Prec@5 67.969 (64.793) Epoch: [5][3320/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5867 (2.8321) Prec@1 43.750 (39.434) Prec@5 69.531 (64.798) Epoch: [5][3330/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.9917 (2.8323) Prec@1 37.500 (39.430) Prec@5 60.938 (64.796) Epoch: [5][3340/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.1172 (2.8321) Prec@1 37.500 (39.435) Prec@5 60.938 (64.802) Epoch: [5][3350/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7488 (2.8324) Prec@1 45.312 (39.432) Prec@5 68.750 (64.802) Epoch: [5][3360/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.1347 (2.8328) Prec@1 35.938 (39.426) Prec@5 60.156 (64.797) Epoch: [5][3370/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6173 (2.8327) Prec@1 38.281 (39.422) Prec@5 67.188 (64.796) Epoch: [5][3380/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8300 (2.8324) Prec@1 42.969 (39.428) Prec@5 62.500 (64.803) Epoch: [5][3390/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7765 (2.8324) Prec@1 41.406 (39.424) Prec@5 61.719 (64.799) Epoch: [5][3400/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 3.1279 (2.8324) Prec@1 32.812 (39.424) Prec@5 64.062 (64.802) Epoch: [5][3410/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4592 (2.8322) Prec@1 50.000 (39.431) Prec@5 73.438 (64.805) Epoch: [5][3420/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.8398 (2.8322) Prec@1 39.062 (39.429) Prec@5 64.062 (64.802) Epoch: [5][3430/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8238 (2.8324) Prec@1 39.844 (39.429) Prec@5 64.844 (64.801) Epoch: [5][3440/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6972 (2.8324) Prec@1 37.500 (39.426) Prec@5 67.188 (64.803) Epoch: [5][3450/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7219 (2.8327) Prec@1 45.312 (39.415) Prec@5 65.625 (64.797) Epoch: [5][3460/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.2680 (2.8325) Prec@1 34.375 (39.417) Prec@5 56.250 (64.805) Epoch: [5][3470/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0433 (2.8327) Prec@1 44.531 (39.417) Prec@5 63.281 (64.801) Epoch: [5][3480/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7701 (2.8324) Prec@1 43.750 (39.417) Prec@5 62.500 (64.807) Epoch: [5][3490/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9151 (2.8326) Prec@1 38.281 (39.415) Prec@5 60.156 (64.802) Epoch: [5][3500/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.3921 (2.8326) Prec@1 34.375 (39.411) Prec@5 60.156 (64.804) Epoch: [5][3510/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0010 (2.8325) Prec@1 35.156 (39.417) Prec@5 62.500 (64.806) Epoch: [5][3520/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7848 (2.8324) Prec@1 37.500 (39.416) Prec@5 69.531 (64.813) Epoch: [5][3530/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.9276 (2.8324) Prec@1 32.812 (39.416) Prec@5 60.156 (64.809) Epoch: [5][3540/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6652 (2.8327) Prec@1 42.969 (39.407) Prec@5 67.188 (64.803) Epoch: [5][3550/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.0369 (2.8330) Prec@1 33.594 (39.400) Prec@5 60.938 (64.799) Epoch: [5][3560/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9140 (2.8333) Prec@1 41.406 (39.396) Prec@5 64.062 (64.793) Epoch: [5][3570/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8430 (2.8332) Prec@1 42.188 (39.397) Prec@5 64.844 (64.794) Epoch: [5][3580/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6074 (2.8333) Prec@1 42.969 (39.396) Prec@5 67.969 (64.792) Epoch: [5][3590/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8578 (2.8333) Prec@1 37.500 (39.395) Prec@5 64.062 (64.794) Epoch: [5][3600/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7428 (2.8332) Prec@1 35.156 (39.390) Prec@5 64.062 (64.795) Epoch: [5][3610/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8204 (2.8331) Prec@1 38.281 (39.391) Prec@5 64.844 (64.790) Epoch: [5][3620/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 3.0306 (2.8332) Prec@1 35.938 (39.387) Prec@5 57.812 (64.787) Epoch: [5][3630/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4355 (2.8328) Prec@1 48.438 (39.397) Prec@5 71.094 (64.795) Epoch: [5][3640/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9651 (2.8327) Prec@1 39.844 (39.397) Prec@5 63.281 (64.797) Epoch: [5][3650/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.2336 (2.8331) Prec@1 32.031 (39.393) Prec@5 57.031 (64.793) Epoch: [5][3660/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.1249 (2.8330) Prec@1 35.156 (39.394) Prec@5 59.375 (64.795) /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: [5][3670/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8794 (2.8328) Prec@1 38.281 (39.397) Prec@5 61.719 (64.798) Epoch: [5][3680/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6781 (2.8329) Prec@1 41.406 (39.393) Prec@5 71.094 (64.797) Epoch: [5][3690/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.5323 (2.8331) Prec@1 30.469 (39.388) Prec@5 57.812 (64.795) Epoch: [5][3700/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6654 (2.8335) Prec@1 43.750 (39.382) Prec@5 67.969 (64.786) Epoch: [5][3710/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.8837 (2.8335) Prec@1 40.625 (39.383) Prec@5 61.719 (64.788) Epoch: [5][3720/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9097 (2.8333) Prec@1 40.625 (39.386) Prec@5 63.281 (64.792) Epoch: [5][3730/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.8997 (2.8334) Prec@1 36.719 (39.382) Prec@5 63.281 (64.794) Epoch: [5][3740/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8330 (2.8332) Prec@1 39.062 (39.381) Prec@5 64.844 (64.797) Epoch: [5][3750/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.1360 (2.8333) Prec@1 33.594 (39.378) Prec@5 57.031 (64.795) Epoch: [5][3760/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6112 (2.8335) Prec@1 46.094 (39.373) Prec@5 67.969 (64.791) Epoch: [5][3770/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7717 (2.8335) Prec@1 42.188 (39.373) Prec@5 67.188 (64.794) Epoch: [5][3780/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7173 (2.8333) Prec@1 41.406 (39.379) Prec@5 63.281 (64.801) Epoch: [5][3790/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8733 (2.8332) Prec@1 32.812 (39.376) Prec@5 62.500 (64.799) Epoch: [5][3800/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5566 (2.8329) Prec@1 46.094 (39.383) Prec@5 72.656 (64.808) Epoch: [5][3810/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.1460 (2.8327) Prec@1 50.781 (39.387) Prec@5 77.344 (64.814) Epoch: [5][3820/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9979 (2.8328) Prec@1 40.625 (39.388) Prec@5 64.062 (64.814) Epoch: [5][3830/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8144 (2.8330) Prec@1 40.625 (39.388) Prec@5 64.062 (64.809) Epoch: [5][3840/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 3.0589 (2.8329) Prec@1 36.719 (39.391) Prec@5 61.719 (64.809) /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: [5][3850/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6205 (2.8330) Prec@1 43.750 (39.392) Prec@5 67.188 (64.807) Epoch: [5][3860/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7720 (2.8329) Prec@1 42.188 (39.397) Prec@5 67.188 (64.811) Epoch: [5][3870/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6263 (2.8328) Prec@1 41.406 (39.401) Prec@5 64.062 (64.815) Epoch: [5][3880/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.9562 (2.8330) Prec@1 32.812 (39.395) Prec@5 64.062 (64.810) Epoch: [5][3890/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7942 (2.8334) Prec@1 42.969 (39.392) Prec@5 64.062 (64.806) Epoch: [5][3900/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0320 (2.8334) Prec@1 33.594 (39.390) Prec@5 60.156 (64.806) Epoch: [5][3910/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7229 (2.8334) Prec@1 41.406 (39.385) Prec@5 67.969 (64.809) Epoch: [5][3920/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.1077 (2.8336) Prec@1 35.156 (39.377) Prec@5 61.719 (64.806) Epoch: [5][3930/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5499 (2.8333) Prec@1 40.625 (39.384) Prec@5 72.656 (64.811) Epoch: [5][3940/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8463 (2.8334) Prec@1 37.500 (39.383) Prec@5 64.062 (64.810) Epoch: [5][3950/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7429 (2.8332) Prec@1 42.188 (39.383) Prec@5 65.625 (64.813) Epoch: [5][3960/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5841 (2.8331) Prec@1 41.406 (39.384) Prec@5 69.531 (64.815) Epoch: [5][3970/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9555 (2.8328) Prec@1 37.500 (39.390) Prec@5 61.719 (64.820) Epoch: [5][3980/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9407 (2.8328) Prec@1 36.719 (39.390) Prec@5 65.625 (64.820) Epoch: [5][3990/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8315 (2.8331) Prec@1 42.969 (39.388) Prec@5 64.062 (64.812) Epoch: [5][4000/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7404 (2.8331) Prec@1 47.656 (39.390) Prec@5 67.188 (64.812) Epoch: [5][4010/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.7017 (2.8329) Prec@1 36.719 (39.392) Prec@5 67.188 (64.819) Epoch: [5][4020/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9336 (2.8329) Prec@1 36.719 (39.394) Prec@5 67.969 (64.820) Epoch: [5][4030/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8365 (2.8330) Prec@1 42.188 (39.398) Prec@5 65.625 (64.820) Epoch: [5][4040/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.1048 (2.8330) Prec@1 32.031 (39.400) Prec@5 59.375 (64.816) Epoch: [5][4050/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7916 (2.8330) Prec@1 44.531 (39.399) Prec@5 70.312 (64.817) Epoch: [5][4060/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8879 (2.8329) Prec@1 38.281 (39.401) Prec@5 64.844 (64.818) Epoch: [5][4070/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.9448 (2.8329) Prec@1 35.938 (39.400) Prec@5 60.156 (64.814) Epoch: [5][4080/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.1487 (2.8332) Prec@1 30.469 (39.393) Prec@5 57.812 (64.810) Epoch: [5][4090/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6028 (2.8329) Prec@1 42.969 (39.395) Prec@5 71.875 (64.810) Epoch: [5][4100/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7428 (2.8329) Prec@1 44.531 (39.397) Prec@5 62.500 (64.811) Epoch: [5][4110/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8101 (2.8330) Prec@1 42.188 (39.395) Prec@5 67.969 (64.809) Epoch: [5][4120/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8139 (2.8329) Prec@1 35.938 (39.398) Prec@5 60.156 (64.812) Epoch: [5][4130/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 3.0801 (2.8329) Prec@1 36.719 (39.396) Prec@5 63.281 (64.810) Epoch: [5][4140/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 3.2786 (2.8331) Prec@1 35.156 (39.392) Prec@5 58.594 (64.808) Epoch: [5][4150/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0920 (2.8334) Prec@1 32.031 (39.388) Prec@5 59.375 (64.805) Epoch: [5][4160/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7454 (2.8332) Prec@1 42.969 (39.390) Prec@5 65.625 (64.807) Epoch: [5][4170/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8843 (2.8334) Prec@1 39.844 (39.387) Prec@5 67.188 (64.808) Epoch: [5][4180/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9222 (2.8339) Prec@1 36.719 (39.377) Prec@5 61.719 (64.800) Epoch: [5][4190/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8571 (2.8341) Prec@1 36.719 (39.372) Prec@5 64.062 (64.793) Epoch: [5][4200/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7429 (2.8339) Prec@1 39.062 (39.377) Prec@5 64.844 (64.794) Epoch: [5][4210/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6571 (2.8338) Prec@1 46.094 (39.377) Prec@5 70.312 (64.793) Epoch: [5][4220/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.0162 (2.8337) Prec@1 36.719 (39.378) Prec@5 62.500 (64.794) Epoch: [5][4230/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.9626 (2.8339) Prec@1 37.500 (39.373) Prec@5 66.406 (64.789) Epoch: [5][4240/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9939 (2.8338) Prec@1 35.156 (39.373) Prec@5 62.500 (64.791) Epoch: [5][4250/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.1514 (2.8339) Prec@1 33.594 (39.369) Prec@5 54.688 (64.788) Epoch: [5][4260/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6668 (2.8339) Prec@1 40.625 (39.369) Prec@5 72.656 (64.786) Epoch: [5][4270/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8901 (2.8340) Prec@1 43.750 (39.368) Prec@5 64.062 (64.782) Epoch: [5][4280/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5349 (2.8342) Prec@1 42.969 (39.370) Prec@5 71.875 (64.782) Epoch: [5][4290/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8668 (2.8343) Prec@1 38.281 (39.368) Prec@5 64.062 (64.779) Epoch: [5][4300/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7905 (2.8343) Prec@1 34.375 (39.371) Prec@5 67.969 (64.780) Epoch: [5][4310/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9079 (2.8343) Prec@1 38.281 (39.370) Prec@5 67.969 (64.780) Epoch: [5][4320/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7892 (2.8343) Prec@1 37.500 (39.370) Prec@5 61.719 (64.781) Epoch: [5][4330/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9181 (2.8345) Prec@1 41.406 (39.364) Prec@5 67.188 (64.778) Epoch: [5][4340/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8128 (2.8347) Prec@1 40.625 (39.363) Prec@5 63.281 (64.774) Epoch: [5][4350/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0278 (2.8349) Prec@1 36.719 (39.359) Prec@5 64.062 (64.773) Epoch: [5][4360/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8128 (2.8348) Prec@1 41.406 (39.362) Prec@5 67.969 (64.774) Epoch: [5][4370/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.0250 (2.8351) Prec@1 35.938 (39.358) Prec@5 63.281 (64.770) Epoch: [5][4380/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6705 (2.8348) Prec@1 35.156 (39.364) Prec@5 71.094 (64.778) Epoch: [5][4390/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6640 (2.8351) Prec@1 45.312 (39.361) Prec@5 69.531 (64.771) Epoch: [5][4400/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8769 (2.8351) Prec@1 39.844 (39.364) Prec@5 64.844 (64.773) Epoch: [5][4410/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8663 (2.8353) Prec@1 37.500 (39.362) Prec@5 64.844 (64.767) Epoch: [5][4420/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9244 (2.8356) Prec@1 32.031 (39.356) Prec@5 65.625 (64.761) Epoch: [5][4430/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5158 (2.8355) Prec@1 42.969 (39.352) Prec@5 67.969 (64.762) Epoch: [5][4440/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9115 (2.8358) Prec@1 38.281 (39.347) Prec@5 64.062 (64.756) Epoch: [5][4450/10010] Time 0.329 (0.332) Data 0.003 (0.001) Loss 2.8509 (2.8358) Prec@1 41.406 (39.348) Prec@5 67.188 (64.759) Epoch: [5][4460/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.0533 (2.8357) Prec@1 33.594 (39.347) Prec@5 61.719 (64.760) Epoch: [5][4470/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.9904 (2.8356) Prec@1 39.062 (39.349) Prec@5 64.062 (64.765) Epoch: [5][4480/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9823 (2.8355) Prec@1 35.938 (39.348) Prec@5 59.375 (64.766) Epoch: [5][4490/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.7571 (2.8354) Prec@1 37.500 (39.350) Prec@5 67.188 (64.769) /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: [5][4500/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8708 (2.8352) Prec@1 35.938 (39.356) Prec@5 64.844 (64.774) Epoch: [5][4510/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.1524 (2.8349) Prec@1 50.781 (39.359) Prec@5 74.219 (64.776) Epoch: [5][4520/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5114 (2.8349) Prec@1 46.875 (39.358) Prec@5 67.969 (64.774) Epoch: [5][4530/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6527 (2.8348) Prec@1 42.969 (39.358) Prec@5 65.625 (64.775) Epoch: [5][4540/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5911 (2.8347) Prec@1 44.531 (39.360) Prec@5 65.625 (64.773) Epoch: [5][4550/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7364 (2.8346) Prec@1 41.406 (39.359) Prec@5 64.844 (64.777) Epoch: [5][4560/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7817 (2.8347) Prec@1 34.375 (39.360) Prec@5 65.625 (64.780) Epoch: [5][4570/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.9985 (2.8347) Prec@1 36.719 (39.361) Prec@5 60.156 (64.778) Epoch: [5][4580/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8046 (2.8348) Prec@1 38.281 (39.361) Prec@5 60.938 (64.777) Epoch: [5][4590/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8776 (2.8348) Prec@1 42.188 (39.365) Prec@5 61.719 (64.776) Epoch: [5][4600/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8877 (2.8348) Prec@1 39.844 (39.363) Prec@5 64.062 (64.777) Epoch: [5][4610/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6364 (2.8345) Prec@1 39.844 (39.367) Prec@5 68.750 (64.783) Epoch: [5][4620/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9188 (2.8346) Prec@1 37.500 (39.365) Prec@5 63.281 (64.784) Epoch: [5][4630/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.1247 (2.8348) Prec@1 41.406 (39.364) Prec@5 63.281 (64.782) Epoch: [5][4640/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.0093 (2.8349) Prec@1 36.719 (39.360) Prec@5 62.500 (64.782) Epoch: [5][4650/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.1466 (2.8351) Prec@1 26.562 (39.355) Prec@5 57.031 (64.779) Epoch: [5][4660/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.1962 (2.8352) Prec@1 33.594 (39.354) Prec@5 68.750 (64.781) Epoch: [5][4670/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0147 (2.8352) Prec@1 32.812 (39.353) Prec@5 63.281 (64.781) Epoch: [5][4680/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.1095 (2.8353) Prec@1 35.156 (39.352) Prec@5 58.594 (64.779) Epoch: [5][4690/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4614 (2.8351) Prec@1 43.750 (39.357) Prec@5 69.531 (64.782) Epoch: [5][4700/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0362 (2.8351) Prec@1 32.812 (39.357) Prec@5 61.719 (64.780) Epoch: [5][4710/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6523 (2.8354) Prec@1 41.406 (39.353) Prec@5 69.531 (64.778) Epoch: [5][4720/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.0078 (2.8354) Prec@1 39.062 (39.352) Prec@5 58.594 (64.773) Epoch: [5][4730/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8786 (2.8354) Prec@1 42.969 (39.351) Prec@5 68.750 (64.775) Epoch: [5][4740/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8930 (2.8354) Prec@1 39.062 (39.351) Prec@5 64.844 (64.772) Epoch: [5][4750/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6835 (2.8352) Prec@1 42.969 (39.355) Prec@5 66.406 (64.777) Epoch: [5][4760/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.4214 (2.8353) Prec@1 35.156 (39.357) Prec@5 56.250 (64.774) Epoch: [5][4770/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5152 (2.8355) Prec@1 41.406 (39.353) Prec@5 72.656 (64.771) Epoch: [5][4780/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.1300 (2.8355) Prec@1 35.938 (39.349) Prec@5 58.594 (64.769) Epoch: [5][4790/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8351 (2.8355) Prec@1 41.406 (39.354) Prec@5 63.281 (64.772) Epoch: [5][4800/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9239 (2.8355) Prec@1 39.062 (39.357) Prec@5 60.156 (64.773) Epoch: [5][4810/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.0556 (2.8357) Prec@1 35.156 (39.356) Prec@5 58.594 (64.770) Epoch: [5][4820/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8159 (2.8357) Prec@1 39.844 (39.355) Prec@5 63.281 (64.769) Epoch: [5][4830/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6966 (2.8358) Prec@1 41.406 (39.356) Prec@5 63.281 (64.768) Epoch: [5][4840/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7724 (2.8357) Prec@1 41.406 (39.359) Prec@5 66.406 (64.772) Epoch: [5][4850/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7325 (2.8358) Prec@1 41.406 (39.361) Prec@5 66.406 (64.768) Epoch: [5][4860/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7310 (2.8358) Prec@1 42.969 (39.363) Prec@5 64.844 (64.768) Epoch: [5][4870/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7305 (2.8358) Prec@1 39.844 (39.362) Prec@5 67.188 (64.769) Epoch: [5][4880/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7285 (2.8361) Prec@1 39.844 (39.357) Prec@5 64.062 (64.766) Epoch: [5][4890/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.1552 (2.8361) Prec@1 34.375 (39.358) Prec@5 59.375 (64.765) Epoch: [5][4900/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8042 (2.8360) Prec@1 42.969 (39.363) Prec@5 62.500 (64.770) Epoch: [5][4910/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5822 (2.8360) Prec@1 38.281 (39.357) Prec@5 70.312 (64.769) Epoch: [5][4920/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6912 (2.8358) Prec@1 42.188 (39.360) Prec@5 67.188 (64.772) Epoch: [5][4930/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.2434 (2.8358) Prec@1 35.156 (39.361) Prec@5 58.594 (64.770) Epoch: [5][4940/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6722 (2.8358) Prec@1 40.625 (39.359) Prec@5 65.625 (64.768) Epoch: [5][4950/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6200 (2.8358) Prec@1 42.969 (39.357) Prec@5 67.969 (64.767) Epoch: [5][4960/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8147 (2.8360) Prec@1 43.750 (39.356) Prec@5 70.312 (64.766) Epoch: [5][4970/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7534 (2.8361) Prec@1 39.062 (39.355) Prec@5 65.625 (64.766) Epoch: [5][4980/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7377 (2.8361) Prec@1 40.625 (39.351) Prec@5 64.844 (64.766) Epoch: [5][4990/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6243 (2.8362) Prec@1 42.969 (39.350) Prec@5 65.625 (64.764) Epoch: [5][5000/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 3.0875 (2.8360) Prec@1 37.500 (39.351) Prec@5 57.812 (64.765) Epoch: [5][5010/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5366 (2.8361) Prec@1 44.531 (39.351) Prec@5 69.531 (64.763) Epoch: [5][5020/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9433 (2.8359) Prec@1 37.500 (39.352) Prec@5 60.156 (64.765) Epoch: [5][5030/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7024 (2.8358) Prec@1 40.625 (39.353) Prec@5 64.062 (64.768) Epoch: [5][5040/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7146 (2.8359) Prec@1 42.969 (39.355) Prec@5 66.406 (64.770) Epoch: [5][5050/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5954 (2.8358) Prec@1 42.969 (39.357) Prec@5 70.312 (64.771) Epoch: [5][5060/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0415 (2.8360) Prec@1 34.375 (39.354) Prec@5 61.719 (64.765) Epoch: [5][5070/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9608 (2.8359) Prec@1 36.719 (39.358) Prec@5 57.031 (64.766) Epoch: [5][5080/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8809 (2.8358) Prec@1 35.156 (39.359) Prec@5 64.062 (64.765) Epoch: [5][5090/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9448 (2.8359) Prec@1 35.156 (39.358) Prec@5 64.844 (64.764) Epoch: [5][5100/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7596 (2.8357) Prec@1 41.406 (39.359) Prec@5 69.531 (64.767) Epoch: [5][5110/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5733 (2.8359) Prec@1 43.750 (39.359) Prec@5 69.531 (64.762) Epoch: [5][5120/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8832 (2.8358) Prec@1 41.406 (39.361) Prec@5 66.406 (64.765) Epoch: [5][5130/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7513 (2.8359) Prec@1 35.156 (39.357) Prec@5 67.969 (64.763) Epoch: [5][5140/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9979 (2.8358) Prec@1 37.500 (39.360) Prec@5 57.812 (64.763) Epoch: [5][5150/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8167 (2.8356) Prec@1 42.188 (39.361) Prec@5 61.719 (64.768) Epoch: [5][5160/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 3.1566 (2.8356) Prec@1 32.812 (39.361) Prec@5 58.594 (64.770) Epoch: [5][5170/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7815 (2.8356) Prec@1 41.406 (39.362) Prec@5 61.719 (64.770) Epoch: [5][5180/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0651 (2.8359) Prec@1 35.938 (39.358) Prec@5 57.812 (64.765) Epoch: [5][5190/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6883 (2.8356) Prec@1 43.750 (39.360) Prec@5 61.719 (64.768) Epoch: [5][5200/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8260 (2.8355) Prec@1 39.062 (39.367) Prec@5 67.188 (64.768) Epoch: [5][5210/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8878 (2.8356) Prec@1 37.500 (39.367) Prec@5 58.594 (64.766) Epoch: [5][5220/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6909 (2.8357) Prec@1 41.406 (39.368) Prec@5 66.406 (64.764) Epoch: [5][5230/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8971 (2.8355) Prec@1 37.500 (39.368) Prec@5 64.844 (64.767) Epoch: [5][5240/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5823 (2.8354) Prec@1 41.406 (39.370) Prec@5 69.531 (64.768) Epoch: [5][5250/10010] Time 0.328 (0.332) Data 0.005 (0.001) Loss 2.9326 (2.8355) Prec@1 36.719 (39.367) Prec@5 60.938 (64.767) Epoch: [5][5260/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.0603 (2.8356) Prec@1 33.594 (39.365) Prec@5 60.938 (64.764) Epoch: [5][5270/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8901 (2.8357) Prec@1 35.156 (39.363) Prec@5 65.625 (64.763) Epoch: [5][5280/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7614 (2.8357) Prec@1 41.406 (39.360) Prec@5 66.406 (64.766) Epoch: [5][5290/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6872 (2.8357) Prec@1 39.844 (39.359) Prec@5 64.062 (64.764) Epoch: [5][5300/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6637 (2.8356) Prec@1 41.406 (39.360) Prec@5 65.625 (64.765) Epoch: [5][5310/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7909 (2.8354) Prec@1 43.750 (39.364) Prec@5 61.719 (64.767) Epoch: [5][5320/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7977 (2.8353) Prec@1 42.969 (39.369) Prec@5 64.844 (64.769) Epoch: [5][5330/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5043 (2.8351) Prec@1 41.406 (39.369) Prec@5 74.219 (64.772) Epoch: [5][5340/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7070 (2.8349) Prec@1 39.062 (39.373) Prec@5 68.750 (64.776) Epoch: [5][5350/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7622 (2.8346) Prec@1 41.406 (39.376) Prec@5 66.406 (64.780) Epoch: [5][5360/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7900 (2.8345) Prec@1 36.719 (39.379) Prec@5 64.844 (64.782) Epoch: [5][5370/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8978 (2.8346) Prec@1 39.844 (39.374) Prec@5 60.938 (64.780) Epoch: [5][5380/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6915 (2.8348) Prec@1 42.188 (39.371) Prec@5 70.312 (64.779) Epoch: [5][5390/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.1026 (2.8347) Prec@1 37.500 (39.374) Prec@5 60.938 (64.782) Epoch: [5][5400/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9644 (2.8348) Prec@1 38.281 (39.373) Prec@5 61.719 (64.780) Epoch: [5][5410/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9493 (2.8348) Prec@1 37.500 (39.373) Prec@5 64.844 (64.780) Epoch: [5][5420/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.3580 (2.8347) Prec@1 47.656 (39.378) Prec@5 74.219 (64.780) Epoch: [5][5430/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7964 (2.8349) Prec@1 41.406 (39.376) Prec@5 59.375 (64.777) Epoch: [5][5440/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7568 (2.8348) Prec@1 35.938 (39.376) Prec@5 66.406 (64.777) Epoch: [5][5450/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.1096 (2.8349) Prec@1 36.719 (39.376) Prec@5 57.812 (64.776) Epoch: [5][5460/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0314 (2.8349) Prec@1 38.281 (39.376) Prec@5 60.156 (64.775) Epoch: [5][5470/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7895 (2.8350) Prec@1 39.062 (39.376) Prec@5 67.969 (64.774) Epoch: [5][5480/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.3975 (2.8349) Prec@1 46.094 (39.379) Prec@5 71.094 (64.776) Epoch: [5][5490/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9226 (2.8349) Prec@1 36.719 (39.379) Prec@5 60.156 (64.775) Epoch: [5][5500/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7663 (2.8347) Prec@1 42.969 (39.386) Prec@5 65.625 (64.779) Epoch: [5][5510/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7960 (2.8348) Prec@1 45.312 (39.385) Prec@5 67.188 (64.778) Epoch: [5][5520/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8564 (2.8346) Prec@1 38.281 (39.389) Prec@5 63.281 (64.780) Epoch: [5][5530/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7286 (2.8346) Prec@1 39.844 (39.390) Prec@5 64.844 (64.782) Epoch: [5][5540/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5562 (2.8346) Prec@1 41.406 (39.391) Prec@5 70.312 (64.783) Epoch: [5][5550/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.1263 (2.8347) Prec@1 36.719 (39.392) Prec@5 60.938 (64.783) Epoch: [5][5560/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8881 (2.8348) Prec@1 38.281 (39.393) Prec@5 62.500 (64.782) Epoch: [5][5570/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9332 (2.8350) Prec@1 36.719 (39.389) Prec@5 63.281 (64.779) Epoch: [5][5580/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7545 (2.8349) Prec@1 41.406 (39.389) Prec@5 66.406 (64.778) Epoch: [5][5590/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7984 (2.8349) Prec@1 38.281 (39.388) Prec@5 63.281 (64.779) Epoch: [5][5600/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7505 (2.8349) Prec@1 38.281 (39.387) Prec@5 65.625 (64.778) Epoch: [5][5610/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0804 (2.8350) Prec@1 31.250 (39.385) Prec@5 64.844 (64.777) Epoch: [5][5620/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7941 (2.8350) Prec@1 42.188 (39.387) Prec@5 64.844 (64.777) Epoch: [5][5630/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6543 (2.8350) Prec@1 45.312 (39.389) Prec@5 67.969 (64.775) Epoch: [5][5640/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6070 (2.8348) Prec@1 44.531 (39.394) Prec@5 68.750 (64.775) /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: [5][5650/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7560 (2.8349) Prec@1 42.969 (39.391) Prec@5 64.844 (64.772) Epoch: [5][5660/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8538 (2.8348) Prec@1 37.500 (39.395) Prec@5 64.844 (64.774) Epoch: [5][5670/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6193 (2.8346) Prec@1 41.406 (39.397) Prec@5 67.969 (64.776) Epoch: [5][5680/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5419 (2.8344) Prec@1 48.438 (39.403) Prec@5 64.844 (64.781) Epoch: [5][5690/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.1452 (2.8344) Prec@1 34.375 (39.402) Prec@5 62.500 (64.784) Epoch: [5][5700/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8397 (2.8345) Prec@1 37.500 (39.400) Prec@5 63.281 (64.784) Epoch: [5][5710/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4846 (2.8342) Prec@1 44.531 (39.403) Prec@5 70.312 (64.788) Epoch: [5][5720/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.3239 (2.8343) Prec@1 32.031 (39.403) Prec@5 55.469 (64.788) Epoch: [5][5730/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6059 (2.8342) Prec@1 42.188 (39.406) Prec@5 66.406 (64.790) Epoch: [5][5740/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8316 (2.8342) Prec@1 39.062 (39.407) Prec@5 67.969 (64.791) Epoch: [5][5750/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0209 (2.8342) Prec@1 40.625 (39.405) Prec@5 64.844 (64.790) Epoch: [5][5760/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5022 (2.8341) Prec@1 43.750 (39.406) Prec@5 67.188 (64.794) Epoch: [5][5770/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5016 (2.8340) Prec@1 41.406 (39.406) Prec@5 71.094 (64.795) Epoch: [5][5780/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7823 (2.8342) Prec@1 44.531 (39.406) Prec@5 64.844 (64.793) Epoch: [5][5790/10010] Time 0.323 (0.332) Data 0.003 (0.001) Loss 2.1823 (2.8342) Prec@1 50.000 (39.408) Prec@5 76.562 (64.794) Epoch: [5][5800/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7495 (2.8342) Prec@1 35.938 (39.406) Prec@5 64.062 (64.794) Epoch: [5][5810/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5453 (2.8339) Prec@1 39.844 (39.409) Prec@5 64.844 (64.799) Epoch: [5][5820/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9633 (2.8338) Prec@1 41.406 (39.409) Prec@5 61.719 (64.801) Epoch: [5][5830/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.5627 (2.8337) Prec@1 46.094 (39.412) Prec@5 69.531 (64.804) Epoch: [5][5840/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.9477 (2.8337) Prec@1 36.719 (39.411) Prec@5 62.500 (64.803) Epoch: [5][5850/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6492 (2.8336) Prec@1 43.750 (39.414) Prec@5 64.062 (64.804) Epoch: [5][5860/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9258 (2.8337) Prec@1 34.375 (39.411) Prec@5 67.188 (64.803) Epoch: [5][5870/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6888 (2.8336) Prec@1 42.188 (39.413) Prec@5 67.188 (64.804) Epoch: [5][5880/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8775 (2.8337) Prec@1 42.969 (39.413) Prec@5 64.844 (64.805) Epoch: [5][5890/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7189 (2.8338) Prec@1 40.625 (39.408) Prec@5 70.312 (64.801) Epoch: [5][5900/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7382 (2.8337) Prec@1 39.062 (39.408) Prec@5 67.969 (64.805) Epoch: [5][5910/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.1060 (2.8336) Prec@1 39.844 (39.408) Prec@5 59.375 (64.807) Epoch: [5][5920/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8867 (2.8337) Prec@1 39.844 (39.405) Prec@5 62.500 (64.803) Epoch: [5][5930/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7698 (2.8337) Prec@1 39.844 (39.406) Prec@5 69.531 (64.806) Epoch: [5][5940/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8031 (2.8337) Prec@1 43.750 (39.410) Prec@5 67.188 (64.807) Epoch: [5][5950/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5022 (2.8336) Prec@1 49.219 (39.413) Prec@5 70.312 (64.809) Epoch: [5][5960/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7439 (2.8333) Prec@1 39.844 (39.416) Prec@5 67.188 (64.813) Epoch: [5][5970/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9693 (2.8333) Prec@1 45.312 (39.418) Prec@5 60.156 (64.814) Epoch: [5][5980/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.1955 (2.8334) Prec@1 33.594 (39.415) Prec@5 53.125 (64.812) Epoch: [5][5990/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6290 (2.8333) Prec@1 44.531 (39.417) Prec@5 71.094 (64.814) Epoch: [5][6000/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7252 (2.8334) Prec@1 47.656 (39.418) Prec@5 69.531 (64.812) Epoch: [5][6010/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9911 (2.8336) Prec@1 36.719 (39.414) Prec@5 60.938 (64.810) Epoch: [5][6020/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9943 (2.8337) Prec@1 34.375 (39.413) Prec@5 64.062 (64.809) Epoch: [5][6030/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6449 (2.8335) Prec@1 46.875 (39.417) Prec@5 61.719 (64.810) Epoch: [5][6040/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4125 (2.8334) Prec@1 44.531 (39.418) Prec@5 71.875 (64.811) Epoch: [5][6050/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7806 (2.8334) Prec@1 37.500 (39.419) Prec@5 69.531 (64.811) Epoch: [5][6060/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7598 (2.8334) Prec@1 37.500 (39.421) Prec@5 65.625 (64.809) Epoch: [5][6070/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8199 (2.8334) Prec@1 38.281 (39.421) Prec@5 59.375 (64.807) Epoch: [5][6080/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7805 (2.8336) Prec@1 43.750 (39.418) Prec@5 67.969 (64.803) Epoch: [5][6090/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7806 (2.8337) Prec@1 38.281 (39.417) Prec@5 66.406 (64.800) Epoch: [5][6100/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9235 (2.8338) Prec@1 35.156 (39.416) Prec@5 57.031 (64.798) Epoch: [5][6110/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.1349 (2.8341) Prec@1 37.500 (39.411) Prec@5 59.375 (64.791) Epoch: [5][6120/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.9479 (2.8343) Prec@1 37.500 (39.410) Prec@5 66.406 (64.790) Epoch: [5][6130/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6261 (2.8340) Prec@1 42.188 (39.416) Prec@5 71.094 (64.794) Epoch: [5][6140/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7461 (2.8340) Prec@1 42.188 (39.418) Prec@5 69.531 (64.795) Epoch: [5][6150/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6949 (2.8337) Prec@1 39.062 (39.421) Prec@5 64.062 (64.800) Epoch: [5][6160/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6624 (2.8337) Prec@1 39.844 (39.420) Prec@5 64.062 (64.801) Epoch: [5][6170/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4524 (2.8335) Prec@1 45.312 (39.423) Prec@5 74.219 (64.805) Epoch: [5][6180/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6774 (2.8334) Prec@1 41.406 (39.423) Prec@5 63.281 (64.806) Epoch: [5][6190/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9745 (2.8334) Prec@1 37.500 (39.423) Prec@5 59.375 (64.807) Epoch: [5][6200/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5077 (2.8334) Prec@1 50.781 (39.422) Prec@5 70.312 (64.807) Epoch: [5][6210/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7282 (2.8333) Prec@1 43.750 (39.423) Prec@5 66.406 (64.808) Epoch: [5][6220/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9521 (2.8333) Prec@1 36.719 (39.421) Prec@5 60.156 (64.808) Epoch: [5][6230/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8863 (2.8333) Prec@1 41.406 (39.425) Prec@5 63.281 (64.810) Epoch: [5][6240/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.3466 (2.8335) Prec@1 36.719 (39.423) Prec@5 56.250 (64.805) Epoch: [5][6250/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7235 (2.8335) Prec@1 42.188 (39.422) Prec@5 68.750 (64.805) Epoch: [5][6260/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9371 (2.8335) Prec@1 35.156 (39.425) Prec@5 61.719 (64.807) Epoch: [5][6270/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9718 (2.8336) Prec@1 37.500 (39.421) Prec@5 63.281 (64.806) Epoch: [5][6280/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9664 (2.8335) Prec@1 36.719 (39.421) Prec@5 57.031 (64.806) Epoch: [5][6290/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6693 (2.8334) Prec@1 45.312 (39.421) Prec@5 69.531 (64.807) Epoch: [5][6300/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.1342 (2.8336) Prec@1 37.500 (39.419) Prec@5 60.938 (64.804) Epoch: [5][6310/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.2971 (2.8335) Prec@1 46.875 (39.422) Prec@5 71.094 (64.805) Epoch: [5][6320/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8243 (2.8335) Prec@1 37.500 (39.422) Prec@5 59.375 (64.803) Epoch: [5][6330/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6939 (2.8335) Prec@1 39.062 (39.421) Prec@5 67.969 (64.800) Epoch: [5][6340/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6207 (2.8335) Prec@1 50.000 (39.424) Prec@5 69.531 (64.801) Epoch: [5][6350/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8155 (2.8334) Prec@1 42.188 (39.430) Prec@5 63.281 (64.803) Epoch: [5][6360/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7143 (2.8333) Prec@1 44.531 (39.434) Prec@5 59.375 (64.805) Epoch: [5][6370/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.4812 (2.8332) Prec@1 45.312 (39.435) Prec@5 75.781 (64.807) Epoch: [5][6380/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7665 (2.8331) Prec@1 41.406 (39.435) Prec@5 67.188 (64.806) Epoch: [5][6390/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4420 (2.8332) Prec@1 44.531 (39.434) Prec@5 74.219 (64.805) Epoch: [5][6400/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0318 (2.8331) Prec@1 36.719 (39.436) Prec@5 60.938 (64.807) Epoch: [5][6410/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7158 (2.8332) Prec@1 43.750 (39.435) Prec@5 62.500 (64.805) Epoch: [5][6420/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.1058 (2.8332) Prec@1 33.594 (39.433) Prec@5 56.250 (64.803) Epoch: [5][6430/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6674 (2.8331) Prec@1 46.875 (39.434) Prec@5 70.312 (64.807) Epoch: [5][6440/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9452 (2.8331) Prec@1 39.844 (39.433) Prec@5 64.062 (64.807) Epoch: [5][6450/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.7506 (2.8331) Prec@1 45.312 (39.436) Prec@5 66.406 (64.807) Epoch: [5][6460/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6047 (2.8331) Prec@1 44.531 (39.436) Prec@5 69.531 (64.809) Epoch: [5][6470/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8713 (2.8330) Prec@1 34.375 (39.437) Prec@5 60.156 (64.810) Epoch: [5][6480/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.3590 (2.8329) Prec@1 44.531 (39.435) Prec@5 70.312 (64.811) Epoch: [5][6490/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8587 (2.8329) Prec@1 40.625 (39.435) Prec@5 66.406 (64.811) Epoch: [5][6500/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5955 (2.8329) Prec@1 47.656 (39.437) Prec@5 67.188 (64.810) Epoch: [5][6510/10010] Time 0.336 (0.332) Data 0.003 (0.001) Loss 2.9470 (2.8331) Prec@1 35.156 (39.432) Prec@5 64.062 (64.806) Epoch: [5][6520/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.1172 (2.8330) Prec@1 39.062 (39.432) Prec@5 61.719 (64.803) Epoch: [5][6530/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6153 (2.8333) Prec@1 41.406 (39.428) Prec@5 67.969 (64.799) Epoch: [5][6540/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7797 (2.8332) Prec@1 44.531 (39.428) Prec@5 65.625 (64.802) Epoch: [5][6550/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5732 (2.8330) Prec@1 41.406 (39.431) Prec@5 66.406 (64.803) Epoch: [5][6560/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8983 (2.8330) Prec@1 42.969 (39.432) Prec@5 67.969 (64.805) Epoch: [5][6570/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1198 (2.8331) Prec@1 40.625 (39.429) Prec@5 60.156 (64.802) Epoch: [5][6580/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8605 (2.8331) Prec@1 34.375 (39.428) Prec@5 62.500 (64.800) Epoch: [5][6590/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.3250 (2.8331) Prec@1 34.375 (39.430) Prec@5 57.031 (64.801) Epoch: [5][6600/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6401 (2.8330) Prec@1 40.625 (39.431) Prec@5 64.062 (64.801) Epoch: [5][6610/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8301 (2.8332) Prec@1 37.500 (39.431) Prec@5 68.750 (64.799) Epoch: [5][6620/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.7085 (2.8332) Prec@1 39.844 (39.430) Prec@5 65.625 (64.801) Epoch: [5][6630/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.4817 (2.8331) Prec@1 45.312 (39.429) Prec@5 71.094 (64.804) Epoch: [5][6640/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6533 (2.8331) Prec@1 38.281 (39.429) Prec@5 67.969 (64.806) Epoch: [5][6650/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.2206 (2.8330) Prec@1 28.125 (39.429) Prec@5 58.594 (64.806) Epoch: [5][6660/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.0455 (2.8330) Prec@1 34.375 (39.430) Prec@5 60.938 (64.804) Epoch: [5][6670/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6665 (2.8329) Prec@1 42.969 (39.430) Prec@5 68.750 (64.806) Epoch: [5][6680/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8024 (2.8329) Prec@1 36.719 (39.428) Prec@5 63.281 (64.807) Epoch: [5][6690/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8023 (2.8329) Prec@1 44.531 (39.426) Prec@5 62.500 (64.803) Epoch: [5][6700/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8439 (2.8328) Prec@1 45.312 (39.428) Prec@5 65.625 (64.808) Epoch: [5][6710/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.1598 (2.8328) Prec@1 36.719 (39.428) Prec@5 61.719 (64.810) Epoch: [5][6720/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5933 (2.8327) Prec@1 41.406 (39.429) Prec@5 64.062 (64.812) Epoch: [5][6730/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.0420 (2.8326) Prec@1 41.406 (39.428) Prec@5 58.594 (64.811) Epoch: [5][6740/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6658 (2.8326) Prec@1 43.750 (39.429) Prec@5 65.625 (64.810) Epoch: [5][6750/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4986 (2.8325) Prec@1 41.406 (39.429) Prec@5 70.312 (64.815) Epoch: [5][6760/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9760 (2.8326) Prec@1 34.375 (39.428) Prec@5 60.938 (64.814) Epoch: [5][6770/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 2.6544 (2.8325) Prec@1 39.844 (39.429) Prec@5 66.406 (64.813) Epoch: [5][6780/10010] Time 0.311 (0.332) Data 0.001 (0.001) Loss 3.3225 (2.8326) Prec@1 33.594 (39.429) Prec@5 57.812 (64.813) Epoch: [5][6790/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7562 (2.8325) Prec@1 38.281 (39.430) Prec@5 70.312 (64.816) Epoch: [5][6800/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.0669 (2.8325) Prec@1 32.812 (39.431) Prec@5 59.375 (64.817) Epoch: [5][6810/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9279 (2.8325) Prec@1 35.938 (39.433) Prec@5 65.625 (64.817) Epoch: [5][6820/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.9407 (2.8325) Prec@1 38.281 (39.434) Prec@5 60.938 (64.816) Epoch: [5][6830/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7156 (2.8326) Prec@1 42.188 (39.433) Prec@5 67.188 (64.814) Epoch: [5][6840/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1283 (2.8326) Prec@1 39.062 (39.433) Prec@5 60.938 (64.814) Epoch: [5][6850/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8965 (2.8325) Prec@1 42.188 (39.433) Prec@5 68.750 (64.819) Epoch: [5][6860/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9070 (2.8324) Prec@1 32.812 (39.433) Prec@5 60.156 (64.821) Epoch: [5][6870/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 3.0782 (2.8323) Prec@1 41.406 (39.435) Prec@5 58.594 (64.823) Epoch: [5][6880/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6636 (2.8321) Prec@1 39.844 (39.436) Prec@5 64.844 (64.826) Epoch: [5][6890/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9111 (2.8321) Prec@1 36.719 (39.434) Prec@5 62.500 (64.823) Epoch: [5][6900/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8461 (2.8321) Prec@1 40.625 (39.435) Prec@5 63.281 (64.825) Epoch: [5][6910/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.1570 (2.8321) Prec@1 30.469 (39.434) Prec@5 57.031 (64.824) Epoch: [5][6920/10010] Time 0.332 (0.332) Data 0.002 (0.001) Loss 2.8731 (2.8320) Prec@1 41.406 (39.437) Prec@5 62.500 (64.824) Epoch: [5][6930/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.1567 (2.8321) Prec@1 31.250 (39.436) Prec@5 54.688 (64.822) Epoch: [5][6940/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.9858 (2.8320) Prec@1 34.375 (39.438) Prec@5 60.938 (64.824) Epoch: [5][6950/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8486 (2.8319) Prec@1 37.500 (39.440) Prec@5 64.844 (64.825) Epoch: [5][6960/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7806 (2.8320) Prec@1 41.406 (39.440) Prec@5 63.281 (64.823) Epoch: [5][6970/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.0163 (2.8321) Prec@1 35.938 (39.439) Prec@5 61.719 (64.821) Epoch: [5][6980/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7102 (2.8320) Prec@1 41.406 (39.437) Prec@5 67.188 (64.821) Epoch: [5][6990/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7307 (2.8320) Prec@1 37.500 (39.439) Prec@5 67.188 (64.820) Epoch: [5][7000/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9279 (2.8319) Prec@1 41.406 (39.440) Prec@5 62.500 (64.819) Epoch: [5][7010/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7636 (2.8321) Prec@1 35.156 (39.437) Prec@5 71.094 (64.819) Epoch: [5][7020/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.3201 (2.8322) Prec@1 28.125 (39.436) Prec@5 52.344 (64.815) Epoch: [5][7030/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8179 (2.8323) Prec@1 35.938 (39.436) Prec@5 61.719 (64.813) Epoch: [5][7040/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7184 (2.8322) Prec@1 45.312 (39.438) Prec@5 63.281 (64.812) Epoch: [5][7050/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.2289 (2.8324) Prec@1 34.375 (39.438) Prec@5 60.938 (64.809) Epoch: [5][7060/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9459 (2.8323) Prec@1 40.625 (39.440) Prec@5 63.281 (64.812) Epoch: [5][7070/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5650 (2.8322) Prec@1 41.406 (39.444) Prec@5 72.656 (64.813) Epoch: [5][7080/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7631 (2.8322) Prec@1 41.406 (39.443) Prec@5 64.062 (64.812) Epoch: [5][7090/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7318 (2.8320) Prec@1 43.750 (39.447) Prec@5 64.062 (64.814) Epoch: [5][7100/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6123 (2.8320) Prec@1 43.750 (39.447) Prec@5 67.969 (64.812) Epoch: [5][7110/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6347 (2.8319) Prec@1 41.406 (39.449) Prec@5 65.625 (64.816) Epoch: [5][7120/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4763 (2.8318) Prec@1 44.531 (39.451) Prec@5 75.000 (64.818) Epoch: [5][7130/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5931 (2.8317) Prec@1 46.875 (39.452) Prec@5 69.531 (64.821) Epoch: [5][7140/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6464 (2.8316) Prec@1 42.188 (39.453) Prec@5 67.969 (64.822) Epoch: [5][7150/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5710 (2.8315) Prec@1 46.875 (39.457) Prec@5 71.094 (64.825) Epoch: [5][7160/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.3133 (2.8315) Prec@1 30.469 (39.455) Prec@5 57.031 (64.826) Epoch: [5][7170/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5758 (2.8313) Prec@1 39.844 (39.456) Prec@5 67.969 (64.828) Epoch: [5][7180/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8228 (2.8312) Prec@1 43.750 (39.458) Prec@5 65.625 (64.831) Epoch: [5][7190/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.1178 (2.8315) Prec@1 34.375 (39.456) Prec@5 58.594 (64.829) Epoch: [5][7200/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7720 (2.8314) Prec@1 40.625 (39.456) Prec@5 64.062 (64.829) Epoch: [5][7210/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6829 (2.8313) Prec@1 46.094 (39.457) Prec@5 64.844 (64.829) Epoch: [5][7220/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8551 (2.8313) Prec@1 42.188 (39.459) Prec@5 62.500 (64.831) Epoch: [5][7230/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.9564 (2.8313) Prec@1 35.156 (39.459) Prec@5 60.938 (64.832) Epoch: [5][7240/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6751 (2.8313) Prec@1 39.844 (39.457) Prec@5 67.969 (64.833) Epoch: [5][7250/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.2534 (2.8313) Prec@1 33.594 (39.455) Prec@5 57.031 (64.834) Epoch: [5][7260/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.0773 (2.8313) Prec@1 35.156 (39.458) Prec@5 60.156 (64.833) Epoch: [5][7270/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0543 (2.8314) Prec@1 35.156 (39.456) Prec@5 59.375 (64.831) Epoch: [5][7280/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5824 (2.8313) Prec@1 51.562 (39.459) Prec@5 66.406 (64.833) Epoch: [5][7290/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 3.3232 (2.8314) Prec@1 30.469 (39.457) Prec@5 58.594 (64.831) Epoch: [5][7300/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.8523 (2.8314) Prec@1 39.062 (39.457) Prec@5 63.281 (64.832) Epoch: [5][7310/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9153 (2.8314) Prec@1 39.062 (39.455) Prec@5 60.938 (64.832) Epoch: [5][7320/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6338 (2.8314) Prec@1 44.531 (39.456) Prec@5 68.750 (64.834) Epoch: [5][7330/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8065 (2.8314) Prec@1 36.719 (39.456) Prec@5 66.406 (64.833) Epoch: [5][7340/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 3.1184 (2.8316) Prec@1 34.375 (39.451) Prec@5 64.062 (64.830) Epoch: [5][7350/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.4748 (2.8315) Prec@1 44.531 (39.455) Prec@5 71.094 (64.832) Epoch: [5][7360/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9028 (2.8314) Prec@1 41.406 (39.454) Prec@5 67.188 (64.833) Epoch: [5][7370/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7124 (2.8314) Prec@1 45.312 (39.456) Prec@5 65.625 (64.833) Epoch: [5][7380/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7468 (2.8313) Prec@1 43.750 (39.458) Prec@5 68.750 (64.834) Epoch: [5][7390/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0339 (2.8315) Prec@1 38.281 (39.454) Prec@5 60.938 (64.830) Epoch: [5][7400/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9209 (2.8314) Prec@1 35.156 (39.456) Prec@5 63.281 (64.835) Epoch: [5][7410/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8363 (2.8315) Prec@1 38.281 (39.455) Prec@5 64.844 (64.832) Epoch: [5][7420/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5344 (2.8313) Prec@1 41.406 (39.455) Prec@5 67.969 (64.834) Epoch: [5][7430/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9735 (2.8313) Prec@1 35.156 (39.453) Prec@5 64.062 (64.837) Epoch: [5][7440/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6981 (2.8311) Prec@1 40.625 (39.454) Prec@5 67.188 (64.840) Epoch: [5][7450/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6994 (2.8312) Prec@1 35.156 (39.454) Prec@5 64.844 (64.839) Epoch: [5][7460/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7623 (2.8312) Prec@1 44.531 (39.453) Prec@5 67.969 (64.838) Epoch: [5][7470/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8819 (2.8313) Prec@1 36.719 (39.451) Prec@5 62.500 (64.836) Epoch: [5][7480/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.1005 (2.8313) Prec@1 31.250 (39.451) Prec@5 56.250 (64.835) Epoch: [5][7490/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0351 (2.8312) Prec@1 36.719 (39.453) Prec@5 58.594 (64.836) Epoch: [5][7500/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4997 (2.8311) Prec@1 47.656 (39.455) Prec@5 66.406 (64.836) Epoch: [5][7510/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8732 (2.8311) Prec@1 39.062 (39.455) Prec@5 64.062 (64.836) Epoch: [5][7520/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.1717 (2.8312) Prec@1 32.812 (39.455) Prec@5 60.938 (64.835) Epoch: [5][7530/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5111 (2.8312) Prec@1 46.875 (39.456) Prec@5 66.406 (64.836) Epoch: [5][7540/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.3999 (2.8310) Prec@1 50.781 (39.459) Prec@5 71.094 (64.838) Epoch: [5][7550/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7113 (2.8309) Prec@1 42.188 (39.462) Prec@5 71.094 (64.841) Epoch: [5][7560/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8057 (2.8308) Prec@1 39.062 (39.463) Prec@5 64.844 (64.843) Epoch: [5][7570/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8060 (2.8309) Prec@1 39.844 (39.461) Prec@5 64.844 (64.840) Epoch: [5][7580/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.1242 (2.8310) Prec@1 37.500 (39.460) Prec@5 58.594 (64.835) Epoch: [5][7590/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.3538 (2.8310) Prec@1 43.750 (39.458) Prec@5 69.531 (64.835) Epoch: [5][7600/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9334 (2.8310) Prec@1 32.812 (39.456) Prec@5 61.719 (64.835) Epoch: [5][7610/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6052 (2.8310) Prec@1 46.094 (39.456) Prec@5 75.000 (64.833) Epoch: [5][7620/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1185 (2.8312) Prec@1 32.031 (39.454) Prec@5 59.375 (64.833) Epoch: [5][7630/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8198 (2.8314) Prec@1 37.500 (39.451) Prec@5 68.750 (64.830) Epoch: [5][7640/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.9071 (2.8312) Prec@1 32.812 (39.453) Prec@5 64.844 (64.832) Epoch: [5][7650/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7159 (2.8311) Prec@1 42.188 (39.456) Prec@5 70.312 (64.834) Epoch: [5][7660/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9666 (2.8312) Prec@1 35.156 (39.454) Prec@5 61.719 (64.834) Epoch: [5][7670/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8657 (2.8311) Prec@1 44.531 (39.454) Prec@5 65.625 (64.835) Epoch: [5][7680/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.1592 (2.8311) Prec@1 37.500 (39.457) Prec@5 58.594 (64.836) Epoch: [5][7690/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9839 (2.8311) Prec@1 36.719 (39.459) Prec@5 64.844 (64.838) Epoch: [5][7700/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.2313 (2.8311) Prec@1 40.625 (39.461) Prec@5 57.031 (64.836) Epoch: [5][7710/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8544 (2.8311) Prec@1 41.406 (39.459) Prec@5 64.844 (64.836) Epoch: [5][7720/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8672 (2.8310) Prec@1 33.594 (39.461) Prec@5 60.156 (64.837) Epoch: [5][7730/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8848 (2.8310) Prec@1 39.844 (39.462) Prec@5 66.406 (64.836) Epoch: [5][7740/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6759 (2.8311) Prec@1 48.438 (39.462) Prec@5 67.188 (64.836) Epoch: [5][7750/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7825 (2.8310) Prec@1 37.500 (39.462) Prec@5 64.062 (64.838) Epoch: [5][7760/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0411 (2.8310) Prec@1 36.719 (39.461) Prec@5 65.625 (64.837) Epoch: [5][7770/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9339 (2.8310) Prec@1 35.156 (39.463) Prec@5 61.719 (64.837) Epoch: [5][7780/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7212 (2.8311) Prec@1 40.625 (39.459) Prec@5 66.406 (64.834) Epoch: [5][7790/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.1523 (2.8312) Prec@1 33.594 (39.458) Prec@5 55.469 (64.831) Epoch: [5][7800/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1029 (2.8312) Prec@1 32.031 (39.458) Prec@5 61.719 (64.831) Epoch: [5][7810/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6110 (2.8312) Prec@1 34.375 (39.458) Prec@5 69.531 (64.831) Epoch: [5][7820/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8377 (2.8312) Prec@1 46.875 (39.459) Prec@5 64.062 (64.830) Epoch: [5][7830/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9782 (2.8312) Prec@1 37.500 (39.457) Prec@5 64.062 (64.830) Epoch: [5][7840/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.1699 (2.8311) Prec@1 33.594 (39.458) Prec@5 59.375 (64.834) Epoch: [5][7850/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.2684 (2.8310) Prec@1 32.812 (39.458) Prec@5 53.125 (64.834) Epoch: [5][7860/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6981 (2.8310) Prec@1 39.844 (39.457) Prec@5 69.531 (64.834) Epoch: [5][7870/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7227 (2.8310) Prec@1 35.156 (39.455) Prec@5 71.094 (64.833) Epoch: [5][7880/10010] Time 0.327 (0.332) Data 0.003 (0.001) Loss 2.4207 (2.8310) Prec@1 41.406 (39.453) Prec@5 74.219 (64.834) Epoch: [5][7890/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0492 (2.8310) Prec@1 34.375 (39.454) Prec@5 63.281 (64.834) Epoch: [5][7900/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7159 (2.8309) Prec@1 42.188 (39.456) Prec@5 66.406 (64.834) Epoch: [5][7910/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8713 (2.8309) Prec@1 41.406 (39.454) Prec@5 65.625 (64.834) Epoch: [5][7920/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7661 (2.8308) Prec@1 40.625 (39.458) Prec@5 67.969 (64.835) Epoch: [5][7930/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7202 (2.8307) Prec@1 37.500 (39.458) Prec@5 62.500 (64.836) Epoch: [5][7940/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8721 (2.8307) Prec@1 35.156 (39.458) Prec@5 64.062 (64.835) Epoch: [5][7950/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9133 (2.8309) Prec@1 45.312 (39.455) Prec@5 69.531 (64.833) Epoch: [5][7960/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.1195 (2.8310) Prec@1 35.938 (39.455) Prec@5 58.594 (64.832) Epoch: [5][7970/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.1080 (2.8311) Prec@1 34.375 (39.454) Prec@5 60.156 (64.830) Epoch: [5][7980/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6932 (2.8311) Prec@1 42.188 (39.457) Prec@5 63.281 (64.830) Epoch: [5][7990/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7726 (2.8310) Prec@1 39.062 (39.457) Prec@5 62.500 (64.831) Epoch: [5][8000/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8511 (2.8310) Prec@1 36.719 (39.457) Prec@5 67.969 (64.833) Epoch: [5][8010/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.4810 (2.8311) Prec@1 35.156 (39.455) Prec@5 57.031 (64.831) Epoch: [5][8020/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7452 (2.8312) Prec@1 44.531 (39.454) Prec@5 69.531 (64.829) Epoch: [5][8030/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9140 (2.8313) Prec@1 39.844 (39.452) Prec@5 63.281 (64.827) Epoch: [5][8040/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8712 (2.8313) Prec@1 37.500 (39.452) Prec@5 63.281 (64.827) Epoch: [5][8050/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.1375 (2.8314) Prec@1 32.812 (39.449) Prec@5 56.250 (64.826) Epoch: [5][8060/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9650 (2.8315) Prec@1 41.406 (39.449) Prec@5 59.375 (64.823) Epoch: [5][8070/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.1444 (2.8314) Prec@1 29.688 (39.450) Prec@5 55.469 (64.825) Epoch: [5][8080/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.7881 (2.8314) Prec@1 37.500 (39.452) Prec@5 64.844 (64.823) Epoch: [5][8090/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7746 (2.8315) Prec@1 39.844 (39.449) Prec@5 66.406 (64.821) Epoch: [5][8100/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.6742 (2.8314) Prec@1 43.750 (39.450) Prec@5 67.188 (64.823) /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: [5][8110/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8849 (2.8315) Prec@1 36.719 (39.448) Prec@5 67.969 (64.821) Epoch: [5][8120/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8857 (2.8315) Prec@1 39.062 (39.449) Prec@5 61.719 (64.821) Epoch: [5][8130/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.0518 (2.8315) Prec@1 36.719 (39.451) Prec@5 58.594 (64.822) Epoch: [5][8140/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.8946 (2.8314) Prec@1 35.938 (39.451) Prec@5 61.719 (64.822) Epoch: [5][8150/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7861 (2.8315) Prec@1 44.531 (39.453) Prec@5 62.500 (64.820) Epoch: [5][8160/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6980 (2.8316) Prec@1 38.281 (39.450) Prec@5 68.750 (64.819) Epoch: [5][8170/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.1785 (2.8317) Prec@1 33.594 (39.450) Prec@5 58.594 (64.817) Epoch: [5][8180/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8715 (2.8317) Prec@1 40.625 (39.451) Prec@5 71.094 (64.817) Epoch: [5][8190/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7897 (2.8318) Prec@1 39.062 (39.450) Prec@5 64.062 (64.817) Epoch: [5][8200/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8344 (2.8317) Prec@1 41.406 (39.450) Prec@5 64.844 (64.818) Epoch: [5][8210/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.0264 (2.8315) Prec@1 40.625 (39.454) Prec@5 64.844 (64.821) Epoch: [5][8220/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 3.1587 (2.8316) Prec@1 37.500 (39.454) Prec@5 57.031 (64.820) Epoch: [5][8230/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9507 (2.8317) Prec@1 39.844 (39.453) Prec@5 66.406 (64.820) Epoch: [5][8240/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6430 (2.8317) Prec@1 41.406 (39.453) Prec@5 67.969 (64.818) Epoch: [5][8250/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4396 (2.8316) Prec@1 47.656 (39.456) Prec@5 68.750 (64.818) Epoch: [5][8260/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.1020 (2.8317) Prec@1 38.281 (39.455) Prec@5 58.594 (64.816) Epoch: [5][8270/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.5794 (2.8317) Prec@1 42.188 (39.455) Prec@5 71.094 (64.815) Epoch: [5][8280/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.3483 (2.8317) Prec@1 32.812 (39.457) Prec@5 57.031 (64.816) Epoch: [5][8290/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.9522 (2.8319) Prec@1 36.719 (39.455) Prec@5 64.062 (64.813) Epoch: [5][8300/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7444 (2.8317) Prec@1 40.625 (39.455) Prec@5 64.844 (64.815) Epoch: [5][8310/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6811 (2.8316) Prec@1 42.969 (39.456) Prec@5 67.969 (64.818) Epoch: [5][8320/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6030 (2.8316) Prec@1 44.531 (39.455) Prec@5 67.969 (64.820) Epoch: [5][8330/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8700 (2.8316) Prec@1 42.188 (39.456) Prec@5 65.625 (64.821) Epoch: [5][8340/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7293 (2.8317) Prec@1 42.188 (39.453) Prec@5 67.188 (64.819) Epoch: [5][8350/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7594 (2.8316) Prec@1 40.625 (39.455) Prec@5 69.531 (64.820) Epoch: [5][8360/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0153 (2.8317) Prec@1 35.156 (39.454) Prec@5 59.375 (64.819) Epoch: [5][8370/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8115 (2.8317) Prec@1 41.406 (39.454) Prec@5 67.188 (64.816) Epoch: [5][8380/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8434 (2.8317) Prec@1 46.094 (39.454) Prec@5 67.188 (64.816) Epoch: [5][8390/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7253 (2.8317) Prec@1 45.312 (39.457) Prec@5 66.406 (64.817) Epoch: [5][8400/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6497 (2.8317) Prec@1 42.969 (39.457) Prec@5 62.500 (64.815) Epoch: [5][8410/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8024 (2.8315) Prec@1 37.500 (39.459) Prec@5 67.188 (64.817) Epoch: [5][8420/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7377 (2.8315) Prec@1 46.094 (39.461) Prec@5 64.062 (64.819) Epoch: [5][8430/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9503 (2.8315) Prec@1 38.281 (39.462) Prec@5 62.500 (64.818) Epoch: [5][8440/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8261 (2.8315) Prec@1 41.406 (39.461) Prec@5 64.062 (64.820) Epoch: [5][8450/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9228 (2.8314) Prec@1 36.719 (39.463) Prec@5 62.500 (64.821) Epoch: [5][8460/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7921 (2.8315) Prec@1 37.500 (39.463) Prec@5 62.500 (64.821) Epoch: [5][8470/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8210 (2.8315) Prec@1 45.312 (39.463) Prec@5 67.969 (64.821) Epoch: [5][8480/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.9482 (2.8315) Prec@1 42.969 (39.462) Prec@5 63.281 (64.819) Epoch: [5][8490/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8696 (2.8315) Prec@1 39.844 (39.464) Prec@5 64.062 (64.819) Epoch: [5][8500/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6576 (2.8314) Prec@1 46.094 (39.466) Prec@5 66.406 (64.820) Epoch: [5][8510/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6992 (2.8314) Prec@1 42.188 (39.467) Prec@5 69.531 (64.823) Epoch: [5][8520/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7061 (2.8313) Prec@1 39.844 (39.467) Prec@5 67.969 (64.822) Epoch: [5][8530/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7993 (2.8314) Prec@1 35.938 (39.467) Prec@5 64.062 (64.822) Epoch: [5][8540/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.3549 (2.8315) Prec@1 30.469 (39.465) Prec@5 57.812 (64.821) Epoch: [5][8550/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6815 (2.8313) Prec@1 42.969 (39.468) Prec@5 68.750 (64.824) Epoch: [5][8560/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7620 (2.8313) Prec@1 36.719 (39.467) Prec@5 63.281 (64.821) Epoch: [5][8570/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5770 (2.8313) Prec@1 39.844 (39.468) Prec@5 75.000 (64.822) Epoch: [5][8580/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6454 (2.8313) Prec@1 34.375 (39.467) Prec@5 73.438 (64.824) Epoch: [5][8590/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 3.1205 (2.8315) Prec@1 36.719 (39.464) Prec@5 58.594 (64.821) Epoch: [5][8600/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6990 (2.8316) Prec@1 43.750 (39.463) Prec@5 64.844 (64.820) Epoch: [5][8610/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6911 (2.8315) Prec@1 41.406 (39.463) Prec@5 68.750 (64.821) Epoch: [5][8620/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8711 (2.8314) Prec@1 37.500 (39.464) Prec@5 62.500 (64.822) Epoch: [5][8630/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6358 (2.8315) Prec@1 41.406 (39.463) Prec@5 75.000 (64.821) Epoch: [5][8640/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8367 (2.8315) Prec@1 39.062 (39.462) Prec@5 66.406 (64.821) Epoch: [5][8650/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6563 (2.8314) Prec@1 42.188 (39.463) Prec@5 69.531 (64.825) Epoch: [5][8660/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9634 (2.8314) Prec@1 34.375 (39.464) Prec@5 62.500 (64.826) Epoch: [5][8670/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8780 (2.8314) Prec@1 39.062 (39.463) Prec@5 64.844 (64.825) Epoch: [5][8680/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6271 (2.8314) Prec@1 41.406 (39.462) Prec@5 64.062 (64.825) Epoch: [5][8690/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9342 (2.8314) Prec@1 35.156 (39.461) Prec@5 65.625 (64.826) Epoch: [5][8700/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.0369 (2.8315) Prec@1 36.719 (39.459) Prec@5 60.938 (64.827) Epoch: [5][8710/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6859 (2.8315) Prec@1 46.875 (39.459) Prec@5 67.969 (64.826) Epoch: [5][8720/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7326 (2.8315) Prec@1 42.188 (39.459) Prec@5 65.625 (64.826) Epoch: [5][8730/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7444 (2.8315) Prec@1 42.969 (39.460) Prec@5 66.406 (64.825) Epoch: [5][8740/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7736 (2.8315) Prec@1 40.625 (39.462) Prec@5 67.969 (64.824) Epoch: [5][8750/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7560 (2.8315) Prec@1 43.750 (39.463) Prec@5 73.438 (64.823) Epoch: [5][8760/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8899 (2.8314) Prec@1 41.406 (39.465) Prec@5 60.156 (64.824) Epoch: [5][8770/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6647 (2.8314) Prec@1 40.625 (39.464) Prec@5 69.531 (64.824) Epoch: [5][8780/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8052 (2.8314) Prec@1 35.156 (39.465) Prec@5 64.844 (64.824) Epoch: [5][8790/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0724 (2.8315) Prec@1 39.062 (39.465) Prec@5 64.062 (64.824) Epoch: [5][8800/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9814 (2.8315) Prec@1 36.719 (39.465) Prec@5 60.938 (64.824) Epoch: [5][8810/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.2664 (2.8313) Prec@1 49.219 (39.467) Prec@5 71.875 (64.826) Epoch: [5][8820/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.0705 (2.8315) Prec@1 35.156 (39.465) Prec@5 64.844 (64.827) Epoch: [5][8830/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8675 (2.8313) Prec@1 39.062 (39.467) Prec@5 60.156 (64.830) Epoch: [5][8840/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0162 (2.8314) Prec@1 39.062 (39.464) Prec@5 56.250 (64.827) Epoch: [5][8850/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9199 (2.8313) Prec@1 41.406 (39.466) Prec@5 62.500 (64.828) Epoch: [5][8860/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7461 (2.8313) Prec@1 38.281 (39.464) Prec@5 64.844 (64.828) Epoch: [5][8870/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.9332 (2.8313) Prec@1 41.406 (39.465) Prec@5 64.844 (64.827) Epoch: [5][8880/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5168 (2.8313) Prec@1 44.531 (39.465) Prec@5 68.750 (64.829) Epoch: [5][8890/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.3343 (2.8313) Prec@1 53.125 (39.465) Prec@5 74.219 (64.829) Epoch: [5][8900/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5097 (2.8311) Prec@1 45.312 (39.468) Prec@5 69.531 (64.831) Epoch: [5][8910/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7965 (2.8311) Prec@1 39.844 (39.470) Prec@5 67.969 (64.832) Epoch: [5][8920/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.1540 (2.8310) Prec@1 35.156 (39.471) Prec@5 65.625 (64.834) Epoch: [5][8930/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6756 (2.8310) Prec@1 41.406 (39.471) Prec@5 70.312 (64.833) Epoch: [5][8940/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5106 (2.8310) Prec@1 43.750 (39.472) Prec@5 68.750 (64.833) Epoch: [5][8950/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.1211 (2.8308) Prec@1 38.281 (39.475) Prec@5 61.719 (64.835) Epoch: [5][8960/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6957 (2.8308) Prec@1 39.844 (39.475) Prec@5 65.625 (64.836) Epoch: [5][8970/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9831 (2.8306) Prec@1 36.719 (39.478) Prec@5 61.719 (64.838) Epoch: [5][8980/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6488 (2.8306) Prec@1 47.656 (39.480) Prec@5 66.406 (64.840) Epoch: [5][8990/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8947 (2.8304) Prec@1 37.500 (39.482) Prec@5 62.500 (64.841) Epoch: [5][9000/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8848 (2.8306) Prec@1 35.938 (39.481) Prec@5 63.281 (64.840) Epoch: [5][9010/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.2341 (2.8305) Prec@1 39.062 (39.483) Prec@5 60.156 (64.841) Epoch: [5][9020/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8584 (2.8306) Prec@1 44.531 (39.484) Prec@5 60.156 (64.839) Epoch: [5][9030/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.9259 (2.8307) Prec@1 37.500 (39.482) Prec@5 59.375 (64.838) Epoch: [5][9040/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7894 (2.8307) Prec@1 36.719 (39.481) Prec@5 63.281 (64.837) Epoch: [5][9050/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7371 (2.8308) Prec@1 39.062 (39.478) Prec@5 64.062 (64.834) Epoch: [5][9060/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8114 (2.8308) Prec@1 46.094 (39.479) Prec@5 64.062 (64.833) Epoch: [5][9070/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8319 (2.8309) Prec@1 38.281 (39.479) Prec@5 67.969 (64.832) Epoch: [5][9080/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6666 (2.8309) Prec@1 44.531 (39.476) Prec@5 68.750 (64.831) Epoch: [5][9090/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6479 (2.8308) Prec@1 42.188 (39.480) Prec@5 67.969 (64.833) Epoch: [5][9100/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.2291 (2.8308) Prec@1 34.375 (39.481) Prec@5 59.375 (64.834) Epoch: [5][9110/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9165 (2.8307) Prec@1 38.281 (39.483) Prec@5 64.844 (64.836) Epoch: [5][9120/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4857 (2.8305) Prec@1 40.625 (39.486) Prec@5 71.875 (64.840) Epoch: [5][9130/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7527 (2.8305) Prec@1 39.062 (39.485) Prec@5 67.969 (64.839) Epoch: [5][9140/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9016 (2.8304) Prec@1 41.406 (39.485) Prec@5 60.156 (64.842) Epoch: [5][9150/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7582 (2.8306) Prec@1 38.281 (39.481) Prec@5 68.750 (64.839) Epoch: [5][9160/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6782 (2.8306) Prec@1 44.531 (39.481) Prec@5 67.969 (64.839) Epoch: [5][9170/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6946 (2.8306) Prec@1 35.156 (39.481) Prec@5 63.281 (64.838) Epoch: [5][9180/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 3.1923 (2.8307) Prec@1 38.281 (39.482) Prec@5 57.031 (64.836) Epoch: [5][9190/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7992 (2.8307) Prec@1 42.969 (39.482) Prec@5 67.188 (64.836) Epoch: [5][9200/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0557 (2.8308) Prec@1 34.375 (39.483) Prec@5 64.062 (64.837) Epoch: [5][9210/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8021 (2.8308) Prec@1 40.625 (39.482) Prec@5 64.062 (64.837) Epoch: [5][9220/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9884 (2.8308) Prec@1 34.375 (39.481) Prec@5 61.719 (64.837) Epoch: [5][9230/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9189 (2.8309) Prec@1 40.625 (39.480) Prec@5 60.156 (64.835) Epoch: [5][9240/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9385 (2.8309) Prec@1 40.625 (39.481) Prec@5 64.844 (64.835) Epoch: [5][9250/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6024 (2.8307) Prec@1 44.531 (39.484) Prec@5 72.656 (64.839) Epoch: [5][9260/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9853 (2.8309) Prec@1 34.375 (39.481) Prec@5 60.156 (64.836) Epoch: [5][9270/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7384 (2.8309) Prec@1 37.500 (39.481) Prec@5 68.750 (64.836) Epoch: [5][9280/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8437 (2.8310) Prec@1 40.625 (39.481) Prec@5 61.719 (64.835) Epoch: [5][9290/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8331 (2.8309) Prec@1 38.281 (39.481) Prec@5 64.062 (64.834) Epoch: [5][9300/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9726 (2.8310) Prec@1 39.062 (39.480) Prec@5 67.188 (64.834) Epoch: [5][9310/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9705 (2.8310) Prec@1 34.375 (39.478) Prec@5 59.375 (64.834) Epoch: [5][9320/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8544 (2.8310) Prec@1 42.188 (39.481) Prec@5 66.406 (64.834) Epoch: [5][9330/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.4598 (2.8310) Prec@1 44.531 (39.481) Prec@5 70.312 (64.835) Epoch: [5][9340/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6307 (2.8310) Prec@1 45.312 (39.483) Prec@5 63.281 (64.835) Epoch: [5][9350/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.1067 (2.8310) Prec@1 35.156 (39.480) Prec@5 57.812 (64.834) Epoch: [5][9360/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8066 (2.8310) Prec@1 39.844 (39.482) Prec@5 64.062 (64.834) Epoch: [5][9370/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 3.1155 (2.8310) Prec@1 43.750 (39.484) Prec@5 63.281 (64.836) Epoch: [5][9380/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8289 (2.8309) Prec@1 43.750 (39.487) Prec@5 64.844 (64.836) Epoch: [5][9390/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.0126 (2.8309) Prec@1 39.062 (39.487) Prec@5 63.281 (64.836) Epoch: [5][9400/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6530 (2.8308) Prec@1 41.406 (39.488) Prec@5 68.750 (64.838) Epoch: [5][9410/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8623 (2.8309) Prec@1 39.062 (39.487) Prec@5 62.500 (64.837) Epoch: [5][9420/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.1605 (2.8308) Prec@1 32.031 (39.487) Prec@5 60.156 (64.838) Epoch: [5][9430/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6864 (2.8308) Prec@1 45.312 (39.488) Prec@5 69.531 (64.839) Epoch: [5][9440/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.5161 (2.8308) Prec@1 41.406 (39.488) Prec@5 68.750 (64.839) Epoch: [5][9450/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8650 (2.8307) Prec@1 38.281 (39.490) Prec@5 61.719 (64.837) Epoch: [5][9460/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0363 (2.8309) Prec@1 32.031 (39.487) Prec@5 57.812 (64.837) Epoch: [5][9470/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5854 (2.8308) Prec@1 44.531 (39.487) Prec@5 69.531 (64.837) Epoch: [5][9480/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9053 (2.8308) Prec@1 33.594 (39.489) Prec@5 67.188 (64.837) Epoch: [5][9490/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7668 (2.8308) Prec@1 39.062 (39.490) Prec@5 67.969 (64.838) Epoch: [5][9500/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9662 (2.8308) Prec@1 32.812 (39.492) Prec@5 67.188 (64.840) Epoch: [5][9510/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6606 (2.8307) Prec@1 43.750 (39.492) Prec@5 70.312 (64.842) Epoch: [5][9520/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0046 (2.8306) Prec@1 39.844 (39.494) Prec@5 63.281 (64.844) Epoch: [5][9530/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.0697 (2.8306) Prec@1 35.156 (39.495) Prec@5 57.812 (64.844) Epoch: [5][9540/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6810 (2.8304) Prec@1 40.625 (39.497) Prec@5 67.969 (64.848) Epoch: [5][9550/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.6415 (2.8304) Prec@1 39.062 (39.498) Prec@5 69.531 (64.848) Epoch: [5][9560/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.1039 (2.8305) Prec@1 35.156 (39.497) Prec@5 60.938 (64.849) Epoch: [5][9570/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6160 (2.8304) Prec@1 43.750 (39.499) Prec@5 67.188 (64.851) Epoch: [5][9580/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.2280 (2.8305) Prec@1 32.031 (39.497) Prec@5 53.906 (64.850) Epoch: [5][9590/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.1647 (2.8305) Prec@1 33.594 (39.499) Prec@5 60.156 (64.849) Epoch: [5][9600/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7320 (2.8305) Prec@1 48.438 (39.500) Prec@5 62.500 (64.850) Epoch: [5][9610/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9144 (2.8305) Prec@1 35.156 (39.499) Prec@5 62.500 (64.849) Epoch: [5][9620/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7204 (2.8306) Prec@1 42.969 (39.498) Prec@5 60.156 (64.846) Epoch: [5][9630/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9210 (2.8306) Prec@1 37.500 (39.495) Prec@5 59.375 (64.846) Epoch: [5][9640/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.1016 (2.8307) Prec@1 30.469 (39.496) Prec@5 64.062 (64.845) Epoch: [5][9650/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8975 (2.8306) Prec@1 35.938 (39.497) Prec@5 64.844 (64.847) Epoch: [5][9660/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9558 (2.8305) Prec@1 39.062 (39.497) Prec@5 64.062 (64.849) Epoch: [5][9670/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6889 (2.8306) Prec@1 39.062 (39.494) Prec@5 67.188 (64.849) Epoch: [5][9680/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7708 (2.8306) Prec@1 42.188 (39.495) Prec@5 67.188 (64.850) Epoch: [5][9690/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7827 (2.8306) Prec@1 42.188 (39.495) Prec@5 65.625 (64.849) Epoch: [5][9700/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.5928 (2.8306) Prec@1 41.406 (39.495) Prec@5 66.406 (64.850) Epoch: [5][9710/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4221 (2.8304) Prec@1 47.656 (39.500) Prec@5 70.312 (64.853) Epoch: [5][9720/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6215 (2.8304) Prec@1 44.531 (39.500) Prec@5 70.312 (64.855) Epoch: [5][9730/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8189 (2.8305) Prec@1 43.750 (39.498) Prec@5 64.844 (64.853) Epoch: [5][9740/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6800 (2.8305) Prec@1 45.312 (39.501) Prec@5 66.406 (64.853) Epoch: [5][9750/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8797 (2.8304) Prec@1 36.719 (39.501) Prec@5 66.406 (64.854) Epoch: [5][9760/10010] Time 0.344 (0.332) Data 0.002 (0.001) Loss 2.7077 (2.8304) Prec@1 42.969 (39.499) Prec@5 66.406 (64.855) Epoch: [5][9770/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5136 (2.8304) Prec@1 46.094 (39.499) Prec@5 70.312 (64.855) Epoch: [5][9780/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6907 (2.8303) Prec@1 37.500 (39.499) Prec@5 68.750 (64.857) Epoch: [5][9790/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6871 (2.8303) Prec@1 45.312 (39.501) Prec@5 67.969 (64.859) Epoch: [5][9800/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6596 (2.8304) Prec@1 42.969 (39.500) Prec@5 67.188 (64.859) Epoch: [5][9810/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.7765 (2.8303) Prec@1 39.844 (39.499) Prec@5 67.188 (64.859) Epoch: [5][9820/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5924 (2.8303) Prec@1 46.875 (39.500) Prec@5 66.406 (64.860) Epoch: [5][9830/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9375 (2.8302) Prec@1 38.281 (39.501) Prec@5 61.719 (64.861) Epoch: [5][9840/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.0563 (2.8302) Prec@1 33.594 (39.500) Prec@5 54.688 (64.860) Epoch: [5][9850/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1735 (2.8302) Prec@1 39.062 (39.503) Prec@5 60.156 (64.861) Epoch: [5][9860/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7218 (2.8302) Prec@1 42.969 (39.504) Prec@5 68.750 (64.863) Epoch: [5][9870/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5395 (2.8301) Prec@1 45.312 (39.505) Prec@5 70.312 (64.865) Epoch: [5][9880/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.1102 (2.8301) Prec@1 38.281 (39.505) Prec@5 59.375 (64.864) Epoch: [5][9890/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1172 (2.8301) Prec@1 37.500 (39.503) Prec@5 59.375 (64.866) Epoch: [5][9900/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8763 (2.8301) Prec@1 39.844 (39.504) Prec@5 64.062 (64.867) Epoch: [5][9910/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.0574 (2.8301) Prec@1 39.062 (39.502) Prec@5 61.719 (64.866) Epoch: [5][9920/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.1228 (2.8301) Prec@1 35.938 (39.501) Prec@5 60.156 (64.865) Epoch: [5][9930/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0746 (2.8301) Prec@1 32.031 (39.501) Prec@5 61.719 (64.864) Epoch: [5][9940/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.8894 (2.8303) Prec@1 41.406 (39.501) Prec@5 65.625 (64.863) Epoch: [5][9950/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5124 (2.8302) Prec@1 42.969 (39.502) Prec@5 71.875 (64.864) Epoch: [5][9960/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7850 (2.8301) Prec@1 46.094 (39.505) Prec@5 63.281 (64.866) Epoch: [5][9970/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.3562 (2.8301) Prec@1 45.312 (39.506) Prec@5 73.438 (64.867) Epoch: [5][9980/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9065 (2.8301) Prec@1 32.812 (39.504) Prec@5 64.062 (64.865) Epoch: [5][9990/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7559 (2.8301) Prec@1 48.438 (39.505) Prec@5 67.188 (64.866) Epoch: [5][10000/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7992 (2.8301) Prec@1 41.406 (39.505) Prec@5 64.844 (64.864) Test: [0/391] Time 1.391 (1.391) Loss 1.2736 (1.2736) Prec@1 72.656 (72.656) Prec@5 88.281 (88.281) Test: [10/391] Time 0.103 (0.223) Loss 2.6839 (1.6375) Prec@1 40.625 (61.293) Prec@5 70.312 (83.878) Test: [20/391] Time 0.109 (0.171) Loss 2.4137 (2.1965) Prec@1 42.188 (50.558) Prec@5 71.094 (74.591) Test: [30/391] Time 0.104 (0.150) Loss 3.3146 (2.2470) Prec@1 30.469 (48.185) Prec@5 53.906 (74.446) Test: [40/391] Time 0.101 (0.139) Loss 2.7785 (2.1050) Prec@1 38.281 (51.124) Prec@5 57.812 (76.200) Test: [50/391] Time 0.106 (0.133) Loss 1.6170 (2.1804) Prec@1 57.031 (49.923) Prec@5 86.719 (75.230) Test: [60/391] Time 0.110 (0.129) Loss 2.1956 (2.1276) Prec@1 38.281 (50.845) Prec@5 76.562 (76.178) Test: [70/391] Time 0.108 (0.126) Loss 3.5494 (2.1918) Prec@1 17.188 (48.724) Prec@5 50.000 (75.385) Test: [80/391] Time 0.107 (0.124) Loss 1.8412 (2.2618) Prec@1 59.375 (47.058) Prec@5 81.250 (74.267) Test: [90/391] Time 0.103 (0.122) Loss 2.4256 (2.2762) Prec@1 28.125 (46.334) Prec@5 71.094 (74.253) Test: [100/391] Time 0.116 (0.120) Loss 2.9467 (2.2707) Prec@1 21.875 (45.970) Prec@5 73.438 (74.644) Test: [110/391] Time 0.107 (0.120) Loss 2.0454 (2.2643) Prec@1 47.656 (45.946) Prec@5 85.156 (74.747) Test: [120/391] Time 0.108 (0.119) Loss 2.3120 (2.2722) Prec@1 42.969 (45.971) Prec@5 78.906 (74.677) Test: [130/391] Time 0.106 (0.118) Loss 1.6405 (2.2597) Prec@1 67.969 (46.404) Prec@5 78.906 (74.857) Test: [140/391] Time 0.108 (0.117) Loss 3.4226 (2.2820) Prec@1 21.094 (46.055) Prec@5 58.594 (74.396) Test: [150/391] Time 0.102 (0.116) Loss 2.2262 (2.2871) Prec@1 35.156 (45.928) Prec@5 78.906 (74.214) Test: [160/391] Time 0.101 (0.116) Loss 2.1820 (2.2872) Prec@1 45.312 (46.094) Prec@5 76.562 (74.248) Test: [170/391] Time 0.105 (0.116) Loss 2.9689 (2.3235) Prec@1 35.938 (45.623) Prec@5 64.062 (73.680) Test: [180/391] Time 0.111 (0.115) Loss 3.1275 (2.3578) Prec@1 38.281 (45.136) Prec@5 62.500 (73.084) Test: [190/391] Time 0.110 (0.115) Loss 3.0229 (2.4052) Prec@1 35.938 (44.388) Prec@5 66.406 (72.349) Test: [200/391] Time 0.106 (0.114) Loss 2.5968 (2.4505) Prec@1 45.312 (43.769) Prec@5 67.969 (71.646) Test: [210/391] Time 0.108 (0.114) Loss 2.6553 (2.4728) Prec@1 42.188 (43.465) Prec@5 67.188 (71.275) Test: [220/391] Time 0.103 (0.114) Loss 1.6537 (2.4895) Prec@1 68.750 (43.319) Prec@5 82.031 (70.931) Test: [230/391] Time 0.106 (0.113) Loss 2.9022 (2.4949) Prec@1 34.375 (43.253) Prec@5 67.188 (70.887) Test: [240/391] Time 0.103 (0.113) Loss 2.7029 (2.5010) Prec@1 42.188 (43.377) Prec@5 63.281 (70.737) Test: [250/391] Time 0.107 (0.113) Loss 2.3076 (2.5249) Prec@1 50.781 (43.121) Prec@5 72.656 (70.403) Test: [260/391] Time 0.111 (0.113) Loss 3.6811 (2.5458) Prec@1 20.312 (42.810) Prec@5 49.219 (70.046) Test: [270/391] Time 0.104 (0.113) Loss 3.6713 (2.5607) Prec@1 17.188 (42.655) Prec@5 56.250 (69.785) Test: [280/391] Time 0.107 (0.113) Loss 2.6885 (2.5719) Prec@1 32.812 (42.532) Prec@5 71.094 (69.584) Test: [290/391] Time 0.106 (0.112) Loss 3.7439 (2.5964) Prec@1 18.750 (42.217) Prec@5 57.812 (69.204) Test: [300/391] Time 0.109 (0.112) Loss 2.3643 (2.6227) Prec@1 54.688 (41.840) Prec@5 76.562 (68.805) Test: [310/391] Time 0.105 (0.112) Loss 3.1031 (2.6391) Prec@1 34.375 (41.685) Prec@5 64.844 (68.564) Test: [320/391] Time 0.111 (0.112) Loss 2.4900 (2.6597) Prec@1 36.719 (41.345) Prec@5 75.781 (68.234) Test: [330/391] Time 0.104 (0.112) Loss 3.0811 (2.6915) Prec@1 41.406 (40.904) Prec@5 60.938 (67.688) Test: [340/391] Time 0.112 (0.112) Loss 2.4590 (2.6909) Prec@1 35.938 (40.845) Prec@5 75.000 (67.714) Test: [350/391] Time 0.106 (0.112) Loss 2.9089 (2.6944) Prec@1 35.156 (40.776) Prec@5 65.625 (67.666) Test: [360/391] Time 0.104 (0.112) Loss 2.8256 (2.7038) Prec@1 32.031 (40.629) Prec@5 58.594 (67.540) Test: [370/391] Time 0.110 (0.111) Loss 2.3735 (2.6907) Prec@1 42.188 (40.798) Prec@5 78.125 (67.771) Test: [380/391] Time 0.108 (0.111) Loss 2.0252 (2.6935) Prec@1 52.344 (40.799) Prec@5 78.125 (67.725) Test: [390/391] Time 0.071 (0.111) Loss 3.4456 (2.6816) Prec@1 36.250 (41.084) Prec@5 58.750 (67.922) * Prec@1 41.084 Prec@5 67.922 Epoch: [6][0/10010] Time 2.660 (2.660) Data 2.448 (2.448) Loss 3.1804 (3.1804) Prec@1 36.719 (36.719) Prec@5 60.156 (60.156) Epoch: [6][10/10010] Time 0.326 (0.536) Data 0.000 (0.223) Loss 2.6100 (2.8928) Prec@1 45.312 (38.778) Prec@5 69.531 (63.352) Epoch: [6][20/10010] Time 0.319 (0.433) Data 0.000 (0.117) Loss 3.1611 (2.8742) Prec@1 29.688 (37.760) Prec@5 62.500 (64.100) Epoch: [6][30/10010] Time 0.319 (0.397) Data 0.000 (0.080) Loss 3.1740 (2.8811) Prec@1 35.938 (37.651) Prec@5 59.375 (63.936) Epoch: [6][40/10010] Time 0.326 (0.379) Data 0.000 (0.060) Loss 2.7125 (2.8727) Prec@1 41.406 (38.110) Prec@5 68.750 (64.234) Epoch: [6][50/10010] Time 0.329 (0.370) Data 0.001 (0.049) Loss 2.4981 (2.8602) Prec@1 46.094 (38.404) Prec@5 70.312 (64.553) Epoch: [6][60/10010] Time 0.342 (0.363) Data 0.000 (0.041) Loss 2.6338 (2.8339) Prec@1 44.531 (38.883) Prec@5 67.188 (65.126) Epoch: [6][70/10010] Time 0.343 (0.359) Data 0.000 (0.035) Loss 2.7003 (2.8209) Prec@1 42.188 (39.107) Prec@5 68.750 (65.339) Epoch: [6][80/10010] Time 0.337 (0.357) Data 0.001 (0.031) Loss 2.8720 (2.8288) Prec@1 42.188 (39.024) Prec@5 68.750 (65.230) Epoch: [6][90/10010] Time 0.323 (0.353) Data 0.000 (0.027) Loss 2.5708 (2.8180) Prec@1 42.969 (39.569) Prec@5 70.312 (65.342) Epoch: [6][100/10010] Time 0.346 (0.351) Data 0.001 (0.025) Loss 3.0602 (2.8073) Prec@1 31.250 (39.751) Prec@5 57.812 (65.447) Epoch: [6][110/10010] Time 0.311 (0.349) Data 0.001 (0.023) Loss 2.5066 (2.7980) Prec@1 46.875 (39.893) Prec@5 67.188 (65.576) Epoch: [6][120/10010] Time 0.326 (0.347) Data 0.000 (0.021) Loss 2.6374 (2.7911) Prec@1 42.969 (40.005) Prec@5 71.094 (65.741) Epoch: [6][130/10010] Time 0.321 (0.345) Data 0.001 (0.019) Loss 3.2642 (2.7880) Prec@1 32.812 (40.106) Prec@5 54.688 (65.714) Epoch: [6][140/10010] Time 0.321 (0.344) Data 0.000 (0.018) Loss 3.2774 (2.7880) Prec@1 34.375 (40.088) Prec@5 59.375 (65.658) Epoch: [6][150/10010] Time 0.322 (0.343) Data 0.001 (0.017) Loss 2.6637 (2.7905) Prec@1 42.188 (40.133) Prec@5 68.750 (65.625) Epoch: [6][160/10010] Time 0.340 (0.342) Data 0.001 (0.016) Loss 2.9254 (2.7860) Prec@1 37.500 (40.213) Prec@5 66.406 (65.727) Epoch: [6][170/10010] Time 0.336 (0.342) Data 0.001 (0.015) Loss 2.6075 (2.7854) Prec@1 45.312 (40.205) Prec@5 64.844 (65.735) Epoch: [6][180/10010] Time 0.330 (0.341) Data 0.000 (0.014) Loss 2.8718 (2.7851) Prec@1 35.156 (40.180) Prec@5 63.281 (65.681) Epoch: [6][190/10010] Time 0.343 (0.341) Data 0.001 (0.013) Loss 2.6200 (2.7829) Prec@1 39.062 (40.151) Prec@5 68.750 (65.715) Epoch: [6][200/10010] Time 0.339 (0.341) Data 0.001 (0.013) Loss 2.7398 (2.7858) Prec@1 39.062 (40.081) Prec@5 66.406 (65.687) Epoch: [6][210/10010] Time 0.322 (0.340) Data 0.000 (0.012) Loss 2.9531 (2.7851) Prec@1 36.719 (40.073) Prec@5 63.281 (65.658) Epoch: [6][220/10010] Time 0.334 (0.340) Data 0.001 (0.012) Loss 2.7405 (2.7876) Prec@1 38.281 (40.049) Prec@5 65.625 (65.600) Epoch: [6][230/10010] Time 0.320 (0.339) Data 0.001 (0.011) Loss 2.5114 (2.7870) Prec@1 44.531 (40.097) Prec@5 70.312 (65.666) Epoch: [6][240/10010] Time 0.327 (0.338) Data 0.000 (0.011) Loss 2.7091 (2.7890) Prec@1 42.188 (40.100) Prec@5 67.969 (65.625) Epoch: [6][250/10010] Time 0.325 (0.338) Data 0.003 (0.010) Loss 2.4280 (2.7884) Prec@1 46.094 (40.071) Prec@5 70.312 (65.547) Epoch: [6][260/10010] Time 0.323 (0.338) Data 0.000 (0.010) Loss 2.9165 (2.7904) Prec@1 36.719 (40.008) Prec@5 63.281 (65.523) Epoch: [6][270/10010] Time 0.322 (0.337) Data 0.000 (0.010) Loss 2.8128 (2.7916) Prec@1 44.531 (40.008) Prec@5 67.969 (65.498) Epoch: [6][280/10010] Time 0.321 (0.337) Data 0.000 (0.009) Loss 2.5655 (2.7903) Prec@1 41.406 (40.002) Prec@5 69.531 (65.528) Epoch: [6][290/10010] Time 0.340 (0.337) Data 0.001 (0.009) Loss 2.7804 (2.7939) Prec@1 46.875 (39.994) Prec@5 67.188 (65.477) Epoch: [6][300/10010] Time 0.323 (0.337) Data 0.000 (0.009) Loss 2.7606 (2.7912) Prec@1 42.969 (40.140) Prec@5 66.406 (65.480) Epoch: [6][310/10010] Time 0.341 (0.336) Data 0.000 (0.008) Loss 2.9740 (2.7926) Prec@1 40.625 (40.173) Prec@5 65.625 (65.454) Epoch: [6][320/10010] Time 0.327 (0.336) Data 0.001 (0.008) Loss 2.4973 (2.7891) Prec@1 42.188 (40.275) Prec@5 70.312 (65.550) Epoch: [6][330/10010] Time 0.326 (0.336) Data 0.000 (0.008) Loss 2.8848 (2.7923) Prec@1 37.500 (40.254) Prec@5 60.938 (65.479) Epoch: [6][340/10010] Time 0.329 (0.336) Data 0.001 (0.008) Loss 3.2129 (2.7970) Prec@1 36.719 (40.194) Prec@5 58.594 (65.410) Epoch: [6][350/10010] Time 0.328 (0.335) Data 0.000 (0.008) Loss 2.2742 (2.7935) Prec@1 50.000 (40.284) Prec@5 75.781 (65.485) Epoch: [6][360/10010] Time 0.332 (0.335) Data 0.001 (0.007) Loss 3.0278 (2.7924) Prec@1 43.750 (40.322) Prec@5 58.594 (65.482) Epoch: [6][370/10010] Time 0.341 (0.335) Data 0.000 (0.007) Loss 2.6996 (2.7879) Prec@1 47.656 (40.412) Prec@5 64.062 (65.534) Epoch: [6][380/10010] Time 0.340 (0.335) Data 0.001 (0.007) Loss 3.0849 (2.7873) Prec@1 37.500 (40.420) Prec@5 58.594 (65.555) Epoch: [6][390/10010] Time 0.334 (0.335) Data 0.000 (0.007) Loss 2.8778 (2.7869) Prec@1 35.938 (40.405) Prec@5 61.719 (65.583) Epoch: [6][400/10010] Time 0.324 (0.335) Data 0.001 (0.007) Loss 3.0082 (2.7900) Prec@1 39.844 (40.341) Prec@5 60.156 (65.520) Epoch: [6][410/10010] Time 0.327 (0.335) Data 0.001 (0.007) Loss 2.8271 (2.7891) Prec@1 42.188 (40.365) Prec@5 64.062 (65.503) Epoch: [6][420/10010] Time 0.342 (0.335) Data 0.000 (0.006) Loss 2.6733 (2.7889) Prec@1 44.531 (40.317) Prec@5 68.750 (65.503) Epoch: [6][430/10010] Time 0.338 (0.335) Data 0.000 (0.006) Loss 2.7740 (2.7890) Prec@1 35.156 (40.295) Prec@5 67.969 (65.522) Epoch: [6][440/10010] Time 0.333 (0.334) Data 0.001 (0.006) Loss 2.7732 (2.7878) Prec@1 35.938 (40.295) Prec@5 68.750 (65.552) Epoch: [6][450/10010] Time 0.339 (0.334) Data 0.000 (0.006) Loss 2.7004 (2.7891) Prec@1 40.625 (40.292) Prec@5 66.406 (65.538) Epoch: [6][460/10010] Time 0.327 (0.334) Data 0.000 (0.006) Loss 2.8568 (2.7889) Prec@1 37.500 (40.261) Prec@5 67.188 (65.557) Epoch: [6][470/10010] Time 0.321 (0.334) Data 0.001 (0.006) Loss 3.2671 (2.7939) Prec@1 32.812 (40.157) Prec@5 56.250 (65.456) Epoch: [6][480/10010] Time 0.342 (0.334) Data 0.000 (0.006) Loss 2.8018 (2.7934) Prec@1 43.750 (40.169) Prec@5 71.875 (65.497) Epoch: [6][490/10010] Time 0.330 (0.334) Data 0.001 (0.006) Loss 2.7829 (2.7935) Prec@1 39.844 (40.159) Prec@5 69.531 (65.504) Epoch: [6][500/10010] Time 0.335 (0.334) Data 0.001 (0.005) Loss 2.7398 (2.7920) Prec@1 42.188 (40.167) Prec@5 64.062 (65.499) Epoch: [6][510/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 2.5324 (2.7887) Prec@1 40.625 (40.206) Prec@5 68.750 (65.547) Epoch: [6][520/10010] Time 0.316 (0.334) Data 0.001 (0.005) Loss 3.1268 (2.7873) Prec@1 35.156 (40.240) Prec@5 57.812 (65.571) Epoch: [6][530/10010] Time 0.332 (0.333) Data 0.001 (0.005) Loss 2.6341 (2.7855) Prec@1 49.219 (40.292) Prec@5 67.969 (65.606) Epoch: [6][540/10010] Time 0.327 (0.333) Data 0.000 (0.005) Loss 3.0165 (2.7857) Prec@1 35.156 (40.278) Prec@5 62.500 (65.592) Epoch: [6][550/10010] Time 0.331 (0.333) Data 0.001 (0.005) Loss 2.8754 (2.7846) Prec@1 38.281 (40.268) Prec@5 64.062 (65.612) Epoch: [6][560/10010] Time 0.338 (0.333) Data 0.001 (0.005) Loss 2.6041 (2.7863) Prec@1 43.750 (40.236) Prec@5 67.188 (65.592) Epoch: [6][570/10010] Time 0.326 (0.333) Data 0.000 (0.005) Loss 2.9780 (2.7865) Prec@1 40.625 (40.234) Prec@5 67.188 (65.607) Epoch: [6][580/10010] Time 0.338 (0.333) Data 0.001 (0.005) Loss 2.9499 (2.7862) Prec@1 40.625 (40.238) Prec@5 64.062 (65.609) Epoch: [6][590/10010] Time 0.342 (0.333) Data 0.000 (0.005) Loss 3.0170 (2.7864) Prec@1 33.594 (40.219) Prec@5 60.156 (65.601) Epoch: [6][600/10010] Time 0.340 (0.333) Data 0.000 (0.005) Loss 2.6528 (2.7859) Prec@1 39.062 (40.219) Prec@5 68.750 (65.598) Epoch: [6][610/10010] Time 0.327 (0.333) Data 0.000 (0.005) Loss 2.9365 (2.7865) Prec@1 36.719 (40.230) Prec@5 63.281 (65.585) Epoch: [6][620/10010] Time 0.336 (0.333) Data 0.001 (0.005) Loss 3.0563 (2.7859) Prec@1 36.719 (40.255) Prec@5 64.062 (65.594) Epoch: [6][630/10010] Time 0.344 (0.333) Data 0.000 (0.004) Loss 2.3225 (2.7856) Prec@1 44.531 (40.259) Prec@5 75.000 (65.584) Epoch: [6][640/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 2.6684 (2.7850) Prec@1 47.656 (40.264) Prec@5 71.094 (65.612) Epoch: [6][650/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 2.7468 (2.7845) Prec@1 47.656 (40.290) Prec@5 64.844 (65.629) Epoch: [6][660/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 2.7415 (2.7834) Prec@1 44.531 (40.327) Prec@5 64.062 (65.646) Epoch: [6][670/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 2.6535 (2.7826) Prec@1 39.844 (40.343) Prec@5 66.406 (65.651) Epoch: [6][680/10010] Time 0.349 (0.333) Data 0.000 (0.004) Loss 2.6190 (2.7836) Prec@1 42.188 (40.345) Prec@5 66.406 (65.632) Epoch: [6][690/10010] Time 0.328 (0.333) Data 0.000 (0.004) Loss 2.6396 (2.7843) Prec@1 44.531 (40.328) Prec@5 67.188 (65.609) Epoch: [6][700/10010] Time 0.341 (0.333) Data 0.000 (0.004) Loss 3.0512 (2.7854) Prec@1 35.156 (40.308) Prec@5 60.156 (65.607) Epoch: [6][710/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 2.7147 (2.7849) Prec@1 39.844 (40.322) Prec@5 69.531 (65.616) Epoch: [6][720/10010] Time 0.342 (0.333) Data 0.001 (0.004) Loss 2.6610 (2.7852) Prec@1 42.188 (40.321) Prec@5 67.969 (65.625) Epoch: [6][730/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 2.6449 (2.7848) Prec@1 39.844 (40.312) Prec@5 70.312 (65.630) Epoch: [6][740/10010] Time 0.342 (0.333) Data 0.001 (0.004) Loss 2.6192 (2.7854) Prec@1 39.844 (40.287) Prec@5 67.969 (65.629) Epoch: [6][750/10010] Time 0.317 (0.333) Data 0.000 (0.004) Loss 2.4665 (2.7850) Prec@1 46.094 (40.279) Prec@5 69.531 (65.629) Epoch: [6][760/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 2.5545 (2.7838) Prec@1 44.531 (40.284) Prec@5 71.094 (65.641) Epoch: [6][770/10010] Time 0.327 (0.333) Data 0.001 (0.004) Loss 3.2347 (2.7838) Prec@1 30.469 (40.293) Prec@5 61.719 (65.649) Epoch: [6][780/10010] Time 0.332 (0.333) Data 0.000 (0.004) Loss 2.8432 (2.7843) Prec@1 39.844 (40.299) Prec@5 64.844 (65.635) Epoch: [6][790/10010] Time 0.342 (0.333) Data 0.000 (0.004) Loss 3.1071 (2.7856) Prec@1 32.812 (40.293) Prec@5 61.719 (65.625) Epoch: [6][800/10010] Time 0.340 (0.333) Data 0.000 (0.004) Loss 2.8087 (2.7865) Prec@1 40.625 (40.293) Prec@5 66.406 (65.623) Epoch: [6][810/10010] Time 0.317 (0.333) Data 0.001 (0.004) Loss 2.9589 (2.7867) Prec@1 35.156 (40.291) Prec@5 66.406 (65.627) Epoch: [6][820/10010] Time 0.329 (0.333) Data 0.000 (0.004) Loss 2.8181 (2.7870) Prec@1 39.844 (40.269) Prec@5 62.500 (65.622) Epoch: [6][830/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 2.7565 (2.7869) Prec@1 46.094 (40.268) Prec@5 70.312 (65.645) Epoch: [6][840/10010] Time 0.333 (0.332) Data 0.000 (0.004) Loss 2.9470 (2.7864) Prec@1 40.625 (40.277) Prec@5 64.062 (65.648) Epoch: [6][850/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.5733 (2.7850) Prec@1 40.625 (40.303) Prec@5 67.969 (65.659) Epoch: [6][860/10010] Time 0.333 (0.332) Data 0.000 (0.003) Loss 2.6812 (2.7844) Prec@1 38.281 (40.298) Prec@5 67.969 (65.665) Epoch: [6][870/10010] Time 0.347 (0.332) Data 0.001 (0.003) Loss 2.8865 (2.7837) Prec@1 43.750 (40.304) Prec@5 64.844 (65.681) Epoch: [6][880/10010] Time 0.334 (0.332) Data 0.001 (0.003) Loss 2.8914 (2.7847) Prec@1 37.500 (40.282) Prec@5 64.062 (65.668) Epoch: [6][890/10010] Time 0.346 (0.332) Data 0.001 (0.003) Loss 3.3301 (2.7848) Prec@1 34.375 (40.294) Prec@5 53.906 (65.662) Epoch: [6][900/10010] Time 0.345 (0.332) Data 0.001 (0.003) Loss 2.7859 (2.7848) Prec@1 41.406 (40.295) Prec@5 60.156 (65.666) Epoch: [6][910/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 2.5031 (2.7838) Prec@1 44.531 (40.311) Prec@5 69.531 (65.688) Epoch: [6][920/10010] Time 0.333 (0.332) Data 0.000 (0.003) Loss 2.8154 (2.7842) Prec@1 41.406 (40.310) Prec@5 63.281 (65.677) Epoch: [6][930/10010] Time 0.341 (0.332) Data 0.001 (0.003) Loss 2.6982 (2.7836) Prec@1 42.188 (40.311) Prec@5 67.188 (65.675) Epoch: [6][940/10010] Time 0.325 (0.332) Data 0.000 (0.003) Loss 3.0039 (2.7841) Prec@1 36.719 (40.301) Prec@5 60.156 (65.674) Epoch: [6][950/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 2.6520 (2.7843) Prec@1 39.844 (40.282) Prec@5 62.500 (65.663) Epoch: [6][960/10010] Time 0.333 (0.332) Data 0.000 (0.003) Loss 2.8728 (2.7849) Prec@1 37.500 (40.272) Prec@5 63.281 (65.644) Epoch: [6][970/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 3.0698 (2.7844) Prec@1 31.250 (40.267) Prec@5 61.719 (65.656) Epoch: [6][980/10010] Time 0.328 (0.332) Data 0.003 (0.003) Loss 3.0667 (2.7840) Prec@1 38.281 (40.270) Prec@5 60.156 (65.647) Epoch: [6][990/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.8038 (2.7827) Prec@1 38.281 (40.289) Prec@5 68.750 (65.680) Epoch: [6][1000/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.4896 (2.7816) Prec@1 42.188 (40.298) Prec@5 68.750 (65.683) Epoch: [6][1010/10010] Time 0.341 (0.332) Data 0.001 (0.003) Loss 2.6880 (2.7813) Prec@1 38.281 (40.304) Prec@5 69.531 (65.692) Epoch: [6][1020/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 2.7269 (2.7812) Prec@1 40.625 (40.310) Prec@5 60.938 (65.699) Epoch: [6][1030/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.6190 (2.7815) Prec@1 40.625 (40.300) Prec@5 67.969 (65.686) Epoch: [6][1040/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 3.1109 (2.7816) Prec@1 39.062 (40.301) Prec@5 59.375 (65.682) Epoch: [6][1050/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.7251 (2.7813) Prec@1 32.812 (40.298) Prec@5 68.750 (65.692) Epoch: [6][1060/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 2.7124 (2.7815) Prec@1 38.281 (40.292) Prec@5 67.969 (65.694) Epoch: [6][1070/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 2.9123 (2.7828) Prec@1 39.062 (40.268) Prec@5 62.500 (65.670) Epoch: [6][1080/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 2.4282 (2.7828) Prec@1 42.969 (40.266) Prec@5 72.656 (65.668) Epoch: [6][1090/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.2765 (2.7823) Prec@1 50.000 (40.266) Prec@5 71.875 (65.665) Epoch: [6][1100/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 2.8070 (2.7825) Prec@1 41.406 (40.259) Prec@5 67.188 (65.663) Epoch: [6][1110/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 2.8256 (2.7831) Prec@1 33.594 (40.267) Prec@5 65.625 (65.656) Epoch: [6][1120/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 2.5733 (2.7828) Prec@1 39.062 (40.257) Prec@5 67.188 (65.649) Epoch: [6][1130/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.8052 (2.7825) Prec@1 39.062 (40.246) Prec@5 65.625 (65.663) Epoch: [6][1140/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 2.3005 (2.7827) Prec@1 52.344 (40.246) Prec@5 75.781 (65.667) Epoch: [6][1150/10010] Time 0.346 (0.332) Data 0.000 (0.003) Loss 2.8097 (2.7838) Prec@1 39.062 (40.238) Prec@5 62.500 (65.658) Epoch: [6][1160/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 2.9669 (2.7843) Prec@1 35.156 (40.225) Prec@5 64.062 (65.641) Epoch: [6][1170/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 3.2297 (2.7843) Prec@1 35.156 (40.231) Prec@5 58.594 (65.631) Epoch: [6][1180/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 2.7563 (2.7850) Prec@1 39.844 (40.212) Prec@5 65.625 (65.618) Epoch: [6][1190/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.7276 (2.7849) Prec@1 39.062 (40.216) Prec@5 67.188 (65.624) Epoch: [6][1200/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.7107 (2.7837) Prec@1 36.719 (40.233) Prec@5 60.938 (65.642) Epoch: [6][1210/10010] Time 0.334 (0.332) Data 0.001 (0.003) Loss 3.1365 (2.7835) Prec@1 34.375 (40.235) Prec@5 59.375 (65.633) Epoch: [6][1220/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 3.0181 (2.7839) Prec@1 32.031 (40.227) Prec@5 60.156 (65.616) Epoch: [6][1230/10010] Time 0.334 (0.332) Data 0.001 (0.003) Loss 2.7392 (2.7838) Prec@1 42.188 (40.219) Prec@5 69.531 (65.611) Epoch: [6][1240/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 3.0064 (2.7838) Prec@1 42.969 (40.230) Prec@5 60.156 (65.612) Epoch: [6][1250/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.8486 (2.7834) Prec@1 30.469 (40.232) Prec@5 64.844 (65.629) Epoch: [6][1260/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.7798 (2.7838) Prec@1 40.625 (40.230) Prec@5 63.281 (65.616) Epoch: [6][1270/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 3.1227 (2.7839) Prec@1 41.406 (40.243) Prec@5 62.500 (65.611) Epoch: [6][1280/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.7557 (2.7837) Prec@1 41.406 (40.251) Prec@5 65.625 (65.611) Epoch: [6][1290/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7737 (2.7846) Prec@1 42.969 (40.245) Prec@5 62.500 (65.601) Epoch: [6][1300/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.8371 (2.7857) Prec@1 40.625 (40.242) Prec@5 63.281 (65.579) /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: [6][1310/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 3.2459 (2.7862) Prec@1 32.812 (40.242) Prec@5 63.281 (65.578) Epoch: [6][1320/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.9913 (2.7867) Prec@1 41.406 (40.240) Prec@5 61.719 (65.558) Epoch: [6][1330/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.2963 (2.7871) Prec@1 32.031 (40.241) Prec@5 59.375 (65.549) Epoch: [6][1340/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.4218 (2.7876) Prec@1 45.312 (40.234) Prec@5 74.219 (65.539) Epoch: [6][1350/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.9154 (2.7872) Prec@1 35.938 (40.244) Prec@5 61.719 (65.538) Epoch: [6][1360/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.9452 (2.7872) Prec@1 32.812 (40.231) Prec@5 61.719 (65.530) Epoch: [6][1370/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.6028 (2.7873) Prec@1 41.406 (40.236) Prec@5 70.312 (65.538) Epoch: [6][1380/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6635 (2.7875) Prec@1 42.969 (40.233) Prec@5 64.844 (65.535) Epoch: [6][1390/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.3939 (2.7870) Prec@1 46.094 (40.240) Prec@5 73.438 (65.540) Epoch: [6][1400/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.4069 (2.7871) Prec@1 45.312 (40.240) Prec@5 70.312 (65.531) Epoch: [6][1410/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.7367 (2.7871) Prec@1 40.625 (40.232) Prec@5 68.750 (65.538) Epoch: [6][1420/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.8108 (2.7868) Prec@1 44.531 (40.235) Prec@5 65.625 (65.543) Epoch: [6][1430/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.5249 (2.7873) Prec@1 44.531 (40.236) Prec@5 70.312 (65.532) Epoch: [6][1440/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.9300 (2.7875) Prec@1 36.719 (40.242) Prec@5 60.938 (65.526) Epoch: [6][1450/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.8866 (2.7869) Prec@1 35.156 (40.248) Prec@5 69.531 (65.541) Epoch: [6][1460/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.8517 (2.7868) Prec@1 37.500 (40.249) Prec@5 64.844 (65.536) Epoch: [6][1470/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.1336 (2.7874) Prec@1 34.375 (40.227) Prec@5 55.469 (65.522) Epoch: [6][1480/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.8871 (2.7875) Prec@1 38.281 (40.227) Prec@5 64.844 (65.519) Epoch: [6][1490/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.9434 (2.7876) Prec@1 45.312 (40.228) Prec@5 63.281 (65.518) Epoch: [6][1500/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.8906 (2.7873) Prec@1 43.750 (40.242) Prec@5 66.406 (65.525) Epoch: [6][1510/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.4645 (2.7874) Prec@1 41.406 (40.240) Prec@5 73.438 (65.521) Epoch: [6][1520/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.6174 (2.7875) Prec@1 38.281 (40.227) Prec@5 71.875 (65.520) Epoch: [6][1530/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.9442 (2.7877) Prec@1 33.594 (40.215) Prec@5 61.719 (65.514) Epoch: [6][1540/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.9248 (2.7878) Prec@1 35.156 (40.210) Prec@5 63.281 (65.516) Epoch: [6][1550/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.8859 (2.7872) Prec@1 39.844 (40.223) Prec@5 67.188 (65.528) Epoch: [6][1560/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 3.1634 (2.7871) Prec@1 34.375 (40.224) Prec@5 58.594 (65.538) Epoch: [6][1570/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.6224 (2.7869) Prec@1 45.312 (40.223) Prec@5 69.531 (65.546) /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: [6][1580/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.7453 (2.7869) Prec@1 35.938 (40.223) Prec@5 61.719 (65.548) Epoch: [6][1590/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7902 (2.7866) Prec@1 38.281 (40.235) Prec@5 66.406 (65.555) Epoch: [6][1600/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.6834 (2.7865) Prec@1 43.750 (40.230) Prec@5 70.312 (65.556) Epoch: [6][1610/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 2.7279 (2.7868) Prec@1 38.281 (40.224) Prec@5 67.969 (65.555) Epoch: [6][1620/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8908 (2.7870) Prec@1 39.062 (40.224) Prec@5 64.062 (65.547) Epoch: [6][1630/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5716 (2.7866) Prec@1 42.969 (40.232) Prec@5 66.406 (65.542) Epoch: [6][1640/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.7699 (2.7865) Prec@1 44.531 (40.243) Prec@5 67.188 (65.538) Epoch: [6][1650/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.9318 (2.7864) Prec@1 39.844 (40.248) Prec@5 57.031 (65.540) Epoch: [6][1660/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8701 (2.7862) Prec@1 39.062 (40.253) Prec@5 64.062 (65.540) Epoch: [6][1670/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.9220 (2.7867) Prec@1 35.938 (40.236) Prec@5 64.062 (65.533) Epoch: [6][1680/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.4878 (2.7870) Prec@1 45.312 (40.232) Prec@5 71.875 (65.530) Epoch: [6][1690/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.0285 (2.7878) Prec@1 35.156 (40.225) Prec@5 65.625 (65.523) Epoch: [6][1700/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8392 (2.7884) Prec@1 41.406 (40.228) Prec@5 60.938 (65.507) Epoch: [6][1710/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.9991 (2.7883) Prec@1 34.375 (40.231) Prec@5 57.812 (65.499) Epoch: [6][1720/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.7736 (2.7882) Prec@1 36.719 (40.234) Prec@5 67.188 (65.497) Epoch: [6][1730/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6051 (2.7882) Prec@1 39.844 (40.233) Prec@5 70.312 (65.503) Epoch: [6][1740/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.7376 (2.7878) Prec@1 40.625 (40.233) Prec@5 64.844 (65.501) Epoch: [6][1750/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5983 (2.7880) Prec@1 42.969 (40.231) Prec@5 68.750 (65.497) Epoch: [6][1760/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.3480 (2.7884) Prec@1 47.656 (40.222) Prec@5 71.875 (65.490) Epoch: [6][1770/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7732 (2.7880) Prec@1 43.750 (40.230) Prec@5 69.531 (65.501) Epoch: [6][1780/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.0442 (2.7889) Prec@1 35.156 (40.209) Prec@5 63.281 (65.487) Epoch: [6][1790/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 3.3084 (2.7900) Prec@1 35.938 (40.197) Prec@5 53.906 (65.472) Epoch: [6][1800/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.9633 (2.7900) Prec@1 41.406 (40.201) Prec@5 62.500 (65.470) Epoch: [6][1810/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.7286 (2.7904) Prec@1 39.844 (40.193) Prec@5 69.531 (65.467) Epoch: [6][1820/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.7248 (2.7898) Prec@1 37.500 (40.198) Prec@5 67.188 (65.477) Epoch: [6][1830/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.9993 (2.7899) Prec@1 37.500 (40.197) Prec@5 65.625 (65.478) Epoch: [6][1840/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.5186 (2.7898) Prec@1 42.969 (40.201) Prec@5 70.312 (65.477) Epoch: [6][1850/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.8268 (2.7898) Prec@1 39.062 (40.202) Prec@5 67.188 (65.479) Epoch: [6][1860/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.5433 (2.7903) Prec@1 40.625 (40.194) Prec@5 68.750 (65.467) Epoch: [6][1870/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 3.0792 (2.7906) Prec@1 38.281 (40.194) Prec@5 60.156 (65.455) Epoch: [6][1880/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.6451 (2.7908) Prec@1 44.531 (40.191) Prec@5 68.750 (65.455) Epoch: [6][1890/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.0684 (2.7908) Prec@1 37.500 (40.192) Prec@5 56.250 (65.455) Epoch: [6][1900/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.6994 (2.7905) Prec@1 37.500 (40.195) Prec@5 69.531 (65.463) Epoch: [6][1910/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.8234 (2.7900) Prec@1 38.281 (40.208) Prec@5 64.844 (65.472) Epoch: [6][1920/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.8869 (2.7901) Prec@1 38.281 (40.201) Prec@5 64.844 (65.473) Epoch: [6][1930/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.8257 (2.7898) Prec@1 45.312 (40.203) Prec@5 68.750 (65.483) Epoch: [6][1940/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7097 (2.7899) Prec@1 40.625 (40.192) Prec@5 66.406 (65.482) Epoch: [6][1950/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8858 (2.7894) Prec@1 38.281 (40.195) Prec@5 60.938 (65.488) Epoch: [6][1960/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 3.0704 (2.7898) Prec@1 35.938 (40.196) Prec@5 62.500 (65.486) Epoch: [6][1970/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.8088 (2.7899) Prec@1 35.938 (40.189) Prec@5 62.500 (65.485) Epoch: [6][1980/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.8685 (2.7897) Prec@1 42.969 (40.193) Prec@5 64.062 (65.487) Epoch: [6][1990/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5909 (2.7897) Prec@1 42.969 (40.198) Prec@5 74.219 (65.486) Epoch: [6][2000/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7189 (2.7896) Prec@1 39.062 (40.192) Prec@5 64.844 (65.491) Epoch: [6][2010/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7238 (2.7892) Prec@1 46.094 (40.195) Prec@5 67.188 (65.500) Epoch: [6][2020/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6012 (2.7891) Prec@1 41.406 (40.198) Prec@5 70.312 (65.496) Epoch: [6][2030/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7699 (2.7894) Prec@1 39.062 (40.201) Prec@5 62.500 (65.495) Epoch: [6][2040/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7768 (2.7890) Prec@1 41.406 (40.204) Prec@5 67.188 (65.497) Epoch: [6][2050/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5797 (2.7891) Prec@1 39.062 (40.203) Prec@5 67.969 (65.503) Epoch: [6][2060/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.9391 (2.7894) Prec@1 33.594 (40.199) Prec@5 59.375 (65.499) Epoch: [6][2070/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 3.0565 (2.7891) Prec@1 31.250 (40.199) Prec@5 63.281 (65.512) Epoch: [6][2080/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.1776 (2.7891) Prec@1 36.719 (40.205) Prec@5 61.719 (65.517) Epoch: [6][2090/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6777 (2.7893) Prec@1 39.062 (40.201) Prec@5 66.406 (65.510) Epoch: [6][2100/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 3.0575 (2.7900) Prec@1 34.375 (40.192) Prec@5 59.375 (65.501) Epoch: [6][2110/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8831 (2.7902) Prec@1 39.844 (40.184) Prec@5 64.062 (65.504) Epoch: [6][2120/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.9917 (2.7908) Prec@1 34.375 (40.168) Prec@5 59.375 (65.489) Epoch: [6][2130/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8096 (2.7908) Prec@1 36.719 (40.165) Prec@5 67.969 (65.487) Epoch: [6][2140/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7172 (2.7911) Prec@1 42.969 (40.163) Prec@5 64.844 (65.482) Epoch: [6][2150/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.5485 (2.7907) Prec@1 42.969 (40.169) Prec@5 70.312 (65.488) Epoch: [6][2160/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.5961 (2.7903) Prec@1 38.281 (40.172) Prec@5 67.188 (65.494) Epoch: [6][2170/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5799 (2.7902) Prec@1 42.969 (40.171) Prec@5 68.750 (65.489) Epoch: [6][2180/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.1004 (2.7908) Prec@1 32.031 (40.161) Prec@5 60.156 (65.480) Epoch: [6][2190/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 3.1945 (2.7908) Prec@1 34.375 (40.162) Prec@5 61.719 (65.475) Epoch: [6][2200/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.9910 (2.7909) Prec@1 39.062 (40.166) Prec@5 63.281 (65.469) Epoch: [6][2210/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.7094 (2.7911) Prec@1 45.312 (40.169) Prec@5 64.062 (65.466) Epoch: [6][2220/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.6186 (2.7904) Prec@1 50.000 (40.187) Prec@5 67.969 (65.481) Epoch: [6][2230/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.5933 (2.7903) Prec@1 42.969 (40.186) Prec@5 69.531 (65.478) Epoch: [6][2240/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7557 (2.7902) Prec@1 39.844 (40.186) Prec@5 74.219 (65.482) Epoch: [6][2250/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.3940 (2.7905) Prec@1 44.531 (40.182) Prec@5 72.656 (65.476) Epoch: [6][2260/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.9937 (2.7906) Prec@1 36.719 (40.168) Prec@5 60.156 (65.479) Epoch: [6][2270/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.6683 (2.7908) Prec@1 43.750 (40.166) Prec@5 62.500 (65.476) Epoch: [6][2280/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 3.0104 (2.7910) Prec@1 34.375 (40.158) Prec@5 64.062 (65.477) Epoch: [6][2290/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 3.1169 (2.7912) Prec@1 35.156 (40.148) Prec@5 59.375 (65.476) Epoch: [6][2300/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.1074 (2.7916) Prec@1 38.281 (40.143) Prec@5 60.938 (65.467) Epoch: [6][2310/10010] Time 0.328 (0.332) Data 0.003 (0.002) Loss 2.7864 (2.7915) Prec@1 37.500 (40.143) Prec@5 64.844 (65.469) Epoch: [6][2320/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.8487 (2.7913) Prec@1 45.312 (40.151) Prec@5 60.156 (65.472) Epoch: [6][2330/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 3.1531 (2.7916) Prec@1 38.281 (40.149) Prec@5 60.938 (65.467) Epoch: [6][2340/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7363 (2.7916) Prec@1 42.969 (40.155) Prec@5 63.281 (65.462) Epoch: [6][2350/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.5111 (2.7914) Prec@1 43.750 (40.157) Prec@5 70.312 (65.466) Epoch: [6][2360/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.2232 (2.7922) Prec@1 35.156 (40.153) Prec@5 54.688 (65.452) Epoch: [6][2370/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.8823 (2.7925) Prec@1 35.938 (40.147) Prec@5 66.406 (65.449) Epoch: [6][2380/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.2662 (2.7932) Prec@1 34.375 (40.133) Prec@5 55.469 (65.437) Epoch: [6][2390/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6008 (2.7932) Prec@1 41.406 (40.128) Prec@5 64.844 (65.431) Epoch: [6][2400/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.3840 (2.7932) Prec@1 47.656 (40.132) Prec@5 68.750 (65.431) Epoch: [6][2410/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8824 (2.7930) Prec@1 35.938 (40.143) Prec@5 64.844 (65.432) Epoch: [6][2420/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6240 (2.7929) Prec@1 40.625 (40.146) Prec@5 69.531 (65.432) Epoch: [6][2430/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.6604 (2.7928) Prec@1 39.062 (40.144) Prec@5 64.844 (65.437) Epoch: [6][2440/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.7442 (2.7931) Prec@1 45.312 (40.140) Prec@5 67.188 (65.437) Epoch: [6][2450/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7792 (2.7933) Prec@1 40.625 (40.138) Prec@5 65.625 (65.436) Epoch: [6][2460/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6747 (2.7928) Prec@1 45.312 (40.145) Prec@5 65.625 (65.445) Epoch: [6][2470/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.6243 (2.7928) Prec@1 42.188 (40.150) Prec@5 68.750 (65.439) Epoch: [6][2480/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.4996 (2.7930) Prec@1 35.938 (40.144) Prec@5 74.219 (65.440) Epoch: [6][2490/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6170 (2.7925) Prec@1 42.969 (40.149) Prec@5 67.969 (65.447) Epoch: [6][2500/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.5514 (2.7925) Prec@1 39.844 (40.147) Prec@5 68.750 (65.444) Epoch: [6][2510/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.7277 (2.7924) Prec@1 35.938 (40.153) Prec@5 67.969 (65.453) Epoch: [6][2520/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.3897 (2.7921) Prec@1 48.438 (40.153) Prec@5 71.875 (65.460) Epoch: [6][2530/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.5889 (2.7923) Prec@1 37.500 (40.143) Prec@5 67.969 (65.451) Epoch: [6][2540/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.8150 (2.7921) Prec@1 36.719 (40.142) Prec@5 64.844 (65.451) Epoch: [6][2550/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.6953 (2.7918) Prec@1 40.625 (40.140) Prec@5 68.750 (65.459) Epoch: [6][2560/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.3751 (2.7918) Prec@1 42.969 (40.141) Prec@5 71.094 (65.460) Epoch: [6][2570/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7776 (2.7915) Prec@1 45.312 (40.147) Prec@5 67.969 (65.466) Epoch: [6][2580/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.5975 (2.7913) Prec@1 43.750 (40.152) Prec@5 71.094 (65.474) Epoch: [6][2590/10010] Time 0.332 (0.332) Data 0.003 (0.002) Loss 2.7650 (2.7909) Prec@1 45.312 (40.165) Prec@5 67.969 (65.480) Epoch: [6][2600/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 3.0346 (2.7911) Prec@1 34.375 (40.161) Prec@5 58.594 (65.476) Epoch: [6][2610/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 3.1818 (2.7914) Prec@1 34.375 (40.157) Prec@5 58.594 (65.473) Epoch: [6][2620/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.9704 (2.7915) Prec@1 39.062 (40.156) Prec@5 60.156 (65.466) Epoch: [6][2630/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.6914 (2.7911) Prec@1 45.312 (40.155) Prec@5 65.625 (65.476) Epoch: [6][2640/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9729 (2.7913) Prec@1 32.031 (40.146) Prec@5 64.062 (65.473) Epoch: [6][2650/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.9337 (2.7909) Prec@1 38.281 (40.146) Prec@5 64.062 (65.481) Epoch: [6][2660/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.9034 (2.7907) Prec@1 42.969 (40.152) Prec@5 65.625 (65.484) Epoch: [6][2670/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.7997 (2.7909) Prec@1 41.406 (40.150) Prec@5 67.188 (65.480) Epoch: [6][2680/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.3646 (2.7908) Prec@1 46.875 (40.151) Prec@5 69.531 (65.476) Epoch: [6][2690/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.6493 (2.7909) Prec@1 37.500 (40.156) Prec@5 72.656 (65.477) Epoch: [6][2700/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.6006 (2.7910) Prec@1 42.969 (40.148) Prec@5 67.188 (65.475) Epoch: [6][2710/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.8930 (2.7904) Prec@1 39.062 (40.158) Prec@5 64.062 (65.486) Epoch: [6][2720/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.7792 (2.7907) Prec@1 42.188 (40.159) Prec@5 63.281 (65.485) Epoch: [6][2730/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 3.0346 (2.7909) Prec@1 41.406 (40.150) Prec@5 63.281 (65.485) Epoch: [6][2740/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.0782 (2.7913) Prec@1 35.938 (40.141) Prec@5 61.719 (65.480) Epoch: [6][2750/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9408 (2.7912) Prec@1 39.844 (40.147) Prec@5 59.375 (65.476) Epoch: [6][2760/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6630 (2.7914) Prec@1 40.625 (40.142) Prec@5 70.312 (65.474) Epoch: [6][2770/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8963 (2.7914) Prec@1 39.062 (40.144) Prec@5 63.281 (65.474) Epoch: [6][2780/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7057 (2.7918) Prec@1 43.750 (40.137) Prec@5 67.188 (65.471) Epoch: [6][2790/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6804 (2.7916) Prec@1 42.969 (40.137) Prec@5 63.281 (65.471) Epoch: [6][2800/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7606 (2.7913) Prec@1 34.375 (40.134) Prec@5 65.625 (65.477) Epoch: [6][2810/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8342 (2.7913) Prec@1 42.188 (40.136) Prec@5 64.844 (65.481) Epoch: [6][2820/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0534 (2.7917) Prec@1 41.406 (40.123) Prec@5 65.625 (65.475) Epoch: [6][2830/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.5861 (2.7917) Prec@1 46.875 (40.127) Prec@5 67.969 (65.476) Epoch: [6][2840/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7435 (2.7918) Prec@1 42.969 (40.130) Prec@5 67.969 (65.476) Epoch: [6][2850/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8404 (2.7919) Prec@1 42.188 (40.126) Prec@5 64.844 (65.476) Epoch: [6][2860/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6364 (2.7918) Prec@1 39.062 (40.127) Prec@5 67.969 (65.478) Epoch: [6][2870/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.2281 (2.7918) Prec@1 49.219 (40.123) Prec@5 72.656 (65.474) Epoch: [6][2880/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7399 (2.7923) Prec@1 42.188 (40.115) Prec@5 67.188 (65.471) Epoch: [6][2890/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7051 (2.7924) Prec@1 39.062 (40.114) Prec@5 68.750 (65.472) /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: [6][2900/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.5456 (2.7928) Prec@1 47.656 (40.110) Prec@5 66.406 (65.468) Epoch: [6][2910/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9120 (2.7928) Prec@1 38.281 (40.109) Prec@5 62.500 (65.469) Epoch: [6][2920/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.1077 (2.7934) Prec@1 35.156 (40.094) Prec@5 60.938 (65.461) Epoch: [6][2930/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9503 (2.7933) Prec@1 35.156 (40.095) Prec@5 58.594 (65.461) Epoch: [6][2940/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5592 (2.7935) Prec@1 40.625 (40.086) Prec@5 71.094 (65.462) Epoch: [6][2950/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7754 (2.7937) Prec@1 39.844 (40.081) Prec@5 63.281 (65.457) /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: [6][2960/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7683 (2.7936) Prec@1 32.812 (40.080) Prec@5 66.406 (65.456) Epoch: [6][2970/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0839 (2.7937) Prec@1 41.406 (40.081) Prec@5 60.156 (65.457) Epoch: [6][2980/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.6558 (2.7934) Prec@1 37.500 (40.088) Prec@5 67.188 (65.458) Epoch: [6][2990/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9427 (2.7936) Prec@1 32.812 (40.084) Prec@5 68.750 (65.458) Epoch: [6][3000/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5791 (2.7940) Prec@1 39.844 (40.077) Prec@5 70.312 (65.454) Epoch: [6][3010/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7316 (2.7941) Prec@1 39.062 (40.083) Prec@5 66.406 (65.457) Epoch: [6][3020/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.9841 (2.7941) Prec@1 34.375 (40.079) Prec@5 57.812 (65.458) Epoch: [6][3030/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7151 (2.7939) Prec@1 42.188 (40.080) Prec@5 63.281 (65.457) Epoch: [6][3040/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.0378 (2.7939) Prec@1 35.156 (40.073) Prec@5 55.469 (65.461) Epoch: [6][3050/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.9205 (2.7939) Prec@1 39.062 (40.070) Prec@5 65.625 (65.460) Epoch: [6][3060/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8631 (2.7941) Prec@1 36.719 (40.068) Prec@5 63.281 (65.457) Epoch: [6][3070/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8202 (2.7945) Prec@1 40.625 (40.067) Prec@5 65.625 (65.450) Epoch: [6][3080/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 3.2934 (2.7945) Prec@1 40.625 (40.068) Prec@5 58.594 (65.453) Epoch: [6][3090/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8184 (2.7945) Prec@1 35.156 (40.071) Prec@5 69.531 (65.451) Epoch: [6][3100/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6955 (2.7946) Prec@1 45.312 (40.071) Prec@5 60.156 (65.453) Epoch: [6][3110/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6460 (2.7946) Prec@1 42.969 (40.073) Prec@5 68.750 (65.449) Epoch: [6][3120/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.1030 (2.7949) Prec@1 33.594 (40.067) Prec@5 56.250 (65.447) Epoch: [6][3130/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6885 (2.7948) Prec@1 42.188 (40.071) Prec@5 64.844 (65.449) Epoch: [6][3140/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5311 (2.7946) Prec@1 45.312 (40.074) Prec@5 70.312 (65.451) Epoch: [6][3150/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7731 (2.7947) Prec@1 39.062 (40.073) Prec@5 66.406 (65.451) Epoch: [6][3160/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0221 (2.7946) Prec@1 28.906 (40.073) Prec@5 61.719 (65.450) Epoch: [6][3170/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5673 (2.7950) Prec@1 39.844 (40.064) Prec@5 68.750 (65.445) Epoch: [6][3180/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6055 (2.7951) Prec@1 43.750 (40.062) Prec@5 66.406 (65.442) Epoch: [6][3190/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7935 (2.7950) Prec@1 39.844 (40.065) Prec@5 67.188 (65.446) Epoch: [6][3200/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6892 (2.7946) Prec@1 42.188 (40.076) Prec@5 65.625 (65.449) Epoch: [6][3210/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6074 (2.7943) Prec@1 41.406 (40.079) Prec@5 69.531 (65.457) Epoch: [6][3220/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9747 (2.7942) Prec@1 39.062 (40.082) Prec@5 60.156 (65.456) Epoch: [6][3230/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.7714 (2.7945) Prec@1 49.219 (40.080) Prec@5 64.844 (65.446) Epoch: [6][3240/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.9325 (2.7946) Prec@1 32.812 (40.073) Prec@5 61.719 (65.443) Epoch: [6][3250/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4966 (2.7945) Prec@1 47.656 (40.076) Prec@5 70.312 (65.447) Epoch: [6][3260/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.0992 (2.7945) Prec@1 39.062 (40.079) Prec@5 58.594 (65.452) Epoch: [6][3270/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5338 (2.7945) Prec@1 44.531 (40.081) Prec@5 65.625 (65.452) Epoch: [6][3280/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.1255 (2.7943) Prec@1 35.156 (40.084) Prec@5 58.594 (65.456) Epoch: [6][3290/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9240 (2.7948) Prec@1 35.938 (40.078) Prec@5 64.844 (65.450) Epoch: [6][3300/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.0565 (2.7950) Prec@1 35.156 (40.077) Prec@5 62.500 (65.452) Epoch: [6][3310/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.3854 (2.7949) Prec@1 48.438 (40.075) Prec@5 74.219 (65.455) Epoch: [6][3320/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4154 (2.7948) Prec@1 42.969 (40.079) Prec@5 73.438 (65.460) Epoch: [6][3330/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 3.1651 (2.7950) Prec@1 32.812 (40.072) Prec@5 56.250 (65.454) Epoch: [6][3340/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8258 (2.7950) Prec@1 38.281 (40.070) Prec@5 65.625 (65.452) Epoch: [6][3350/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7597 (2.7949) Prec@1 39.062 (40.071) Prec@5 64.062 (65.453) Epoch: [6][3360/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6706 (2.7949) Prec@1 39.844 (40.077) Prec@5 66.406 (65.455) Epoch: [6][3370/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.2017 (2.7945) Prec@1 48.438 (40.083) Prec@5 75.781 (65.457) Epoch: [6][3380/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6989 (2.7945) Prec@1 43.750 (40.079) Prec@5 67.188 (65.457) Epoch: [6][3390/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9558 (2.7948) Prec@1 39.062 (40.073) Prec@5 61.719 (65.455) Epoch: [6][3400/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6673 (2.7949) Prec@1 39.844 (40.066) Prec@5 71.094 (65.454) Epoch: [6][3410/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.1670 (2.7951) Prec@1 35.938 (40.068) Prec@5 55.469 (65.452) Epoch: [6][3420/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 3.0319 (2.7953) Prec@1 38.281 (40.063) Prec@5 61.719 (65.450) Epoch: [6][3430/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8836 (2.7953) Prec@1 38.281 (40.056) Prec@5 62.500 (65.447) Epoch: [6][3440/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8343 (2.7955) Prec@1 39.844 (40.051) Prec@5 70.312 (65.448) Epoch: [6][3450/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.0687 (2.7958) Prec@1 39.062 (40.047) Prec@5 60.938 (65.440) Epoch: [6][3460/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8810 (2.7959) Prec@1 37.500 (40.048) Prec@5 64.062 (65.440) Epoch: [6][3470/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8979 (2.7961) Prec@1 39.844 (40.044) Prec@5 64.844 (65.437) Epoch: [6][3480/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 3.0390 (2.7962) Prec@1 36.719 (40.041) Prec@5 64.844 (65.437) Epoch: [6][3490/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8127 (2.7963) Prec@1 41.406 (40.041) Prec@5 64.844 (65.439) Epoch: [6][3500/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7326 (2.7962) Prec@1 42.969 (40.041) Prec@5 63.281 (65.439) Epoch: [6][3510/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8713 (2.7964) Prec@1 42.188 (40.035) Prec@5 64.062 (65.433) Epoch: [6][3520/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.2444 (2.7964) Prec@1 35.938 (40.036) Prec@5 60.156 (65.432) Epoch: [6][3530/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8427 (2.7961) Prec@1 39.844 (40.042) Prec@5 64.062 (65.437) Epoch: [6][3540/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6955 (2.7961) Prec@1 41.406 (40.045) Prec@5 71.875 (65.439) Epoch: [6][3550/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6970 (2.7961) Prec@1 38.281 (40.046) Prec@5 67.969 (65.439) Epoch: [6][3560/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7503 (2.7962) Prec@1 45.312 (40.044) Prec@5 64.844 (65.436) Epoch: [6][3570/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9478 (2.7964) Prec@1 40.625 (40.043) Prec@5 64.062 (65.434) Epoch: [6][3580/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8671 (2.7966) Prec@1 38.281 (40.047) Prec@5 60.156 (65.428) Epoch: [6][3590/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6849 (2.7964) Prec@1 43.750 (40.051) Prec@5 64.844 (65.433) Epoch: [6][3600/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9204 (2.7962) Prec@1 36.719 (40.057) Prec@5 65.625 (65.438) Epoch: [6][3610/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.1628 (2.7966) Prec@1 38.281 (40.056) Prec@5 61.719 (65.434) Epoch: [6][3620/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.7594 (2.7964) Prec@1 39.844 (40.063) Prec@5 67.969 (65.435) Epoch: [6][3630/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8549 (2.7967) Prec@1 39.844 (40.055) Prec@5 64.844 (65.431) Epoch: [6][3640/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5867 (2.7970) Prec@1 47.656 (40.054) Prec@5 65.625 (65.428) Epoch: [6][3650/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 3.0367 (2.7973) Prec@1 39.062 (40.054) Prec@5 58.594 (65.422) Epoch: [6][3660/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9080 (2.7974) Prec@1 34.375 (40.047) Prec@5 63.281 (65.419) Epoch: [6][3670/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.2770 (2.7977) Prec@1 28.125 (40.040) Prec@5 57.031 (65.415) Epoch: [6][3680/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0804 (2.7977) Prec@1 34.375 (40.039) Prec@5 60.156 (65.414) Epoch: [6][3690/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8361 (2.7979) Prec@1 39.844 (40.037) Prec@5 60.156 (65.410) Epoch: [6][3700/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7023 (2.7976) Prec@1 48.438 (40.044) Prec@5 64.844 (65.414) Epoch: [6][3710/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9040 (2.7974) Prec@1 42.188 (40.051) Prec@5 67.188 (65.420) Epoch: [6][3720/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7391 (2.7976) Prec@1 40.625 (40.053) Prec@5 66.406 (65.419) Epoch: [6][3730/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9656 (2.7977) Prec@1 38.281 (40.052) Prec@5 67.969 (65.416) Epoch: [6][3740/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5831 (2.7977) Prec@1 42.969 (40.053) Prec@5 67.188 (65.417) Epoch: [6][3750/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7175 (2.7976) Prec@1 39.844 (40.055) Prec@5 64.062 (65.420) Epoch: [6][3760/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8209 (2.7975) Prec@1 39.844 (40.061) Prec@5 62.500 (65.423) Epoch: [6][3770/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1230 (2.7979) Prec@1 39.062 (40.059) Prec@5 60.156 (65.416) Epoch: [6][3780/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6567 (2.7979) Prec@1 42.969 (40.054) Prec@5 66.406 (65.415) Epoch: [6][3790/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8395 (2.7982) Prec@1 38.281 (40.047) Prec@5 67.188 (65.412) Epoch: [6][3800/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9439 (2.7982) Prec@1 36.719 (40.047) Prec@5 60.156 (65.409) Epoch: [6][3810/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.2947 (2.7987) Prec@1 36.719 (40.040) Prec@5 57.812 (65.402) Epoch: [6][3820/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8705 (2.7987) Prec@1 39.062 (40.038) Prec@5 64.062 (65.401) Epoch: [6][3830/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9333 (2.7988) Prec@1 32.031 (40.027) Prec@5 63.281 (65.399) Epoch: [6][3840/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 3.0073 (2.7990) Prec@1 38.281 (40.022) Prec@5 62.500 (65.394) Epoch: [6][3850/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0104 (2.7990) Prec@1 36.719 (40.021) Prec@5 60.156 (65.394) Epoch: [6][3860/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8956 (2.7988) Prec@1 37.500 (40.021) Prec@5 63.281 (65.402) Epoch: [6][3870/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7006 (2.7988) Prec@1 40.625 (40.021) Prec@5 67.188 (65.399) Epoch: [6][3880/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6101 (2.7989) Prec@1 42.188 (40.019) Prec@5 67.188 (65.396) Epoch: [6][3890/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9057 (2.7989) Prec@1 38.281 (40.018) Prec@5 60.156 (65.396) Epoch: [6][3900/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6761 (2.7991) Prec@1 45.312 (40.017) Prec@5 66.406 (65.391) Epoch: [6][3910/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9967 (2.7991) Prec@1 38.281 (40.015) Prec@5 56.250 (65.392) Epoch: [6][3920/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7436 (2.7991) Prec@1 45.312 (40.014) Prec@5 67.969 (65.395) Epoch: [6][3930/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5540 (2.7992) Prec@1 50.000 (40.015) Prec@5 71.094 (65.394) Epoch: [6][3940/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9866 (2.7994) Prec@1 36.719 (40.013) Prec@5 66.406 (65.392) Epoch: [6][3950/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4756 (2.7989) Prec@1 43.750 (40.018) Prec@5 74.219 (65.402) Epoch: [6][3960/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8858 (2.7991) Prec@1 38.281 (40.017) Prec@5 61.719 (65.394) Epoch: [6][3970/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.9612 (2.7990) Prec@1 40.625 (40.019) Prec@5 67.188 (65.399) Epoch: [6][3980/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0689 (2.7992) Prec@1 34.375 (40.015) Prec@5 60.156 (65.396) Epoch: [6][3990/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6766 (2.7988) Prec@1 38.281 (40.021) Prec@5 69.531 (65.403) Epoch: [6][4000/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7756 (2.7989) Prec@1 37.500 (40.020) Prec@5 67.188 (65.406) Epoch: [6][4010/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.0383 (2.7991) Prec@1 36.719 (40.014) Prec@5 58.594 (65.400) Epoch: [6][4020/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.5125 (2.7989) Prec@1 42.188 (40.019) Prec@5 70.312 (65.403) Epoch: [6][4030/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9699 (2.7991) Prec@1 35.938 (40.014) Prec@5 60.156 (65.399) Epoch: [6][4040/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1383 (2.7992) Prec@1 33.594 (40.011) Prec@5 57.812 (65.395) Epoch: [6][4050/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9014 (2.7993) Prec@1 39.844 (40.011) Prec@5 62.500 (65.397) Epoch: [6][4060/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.2043 (2.7993) Prec@1 34.375 (40.007) Prec@5 56.250 (65.399) Epoch: [6][4070/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.0473 (2.7993) Prec@1 37.500 (40.009) Prec@5 59.375 (65.399) Epoch: [6][4080/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.9162 (2.7993) Prec@1 34.375 (40.005) Prec@5 57.812 (65.397) Epoch: [6][4090/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4614 (2.7994) Prec@1 45.312 (40.003) Prec@5 70.312 (65.394) Epoch: [6][4100/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6626 (2.7993) Prec@1 44.531 (40.004) Prec@5 66.406 (65.397) Epoch: [6][4110/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 3.1000 (2.7993) Prec@1 35.156 (40.006) Prec@5 57.812 (65.397) Epoch: [6][4120/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5580 (2.7992) Prec@1 43.750 (40.007) Prec@5 69.531 (65.401) Epoch: [6][4130/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.1601 (2.7993) Prec@1 34.375 (40.006) Prec@5 57.031 (65.396) Epoch: [6][4140/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0267 (2.7994) Prec@1 38.281 (40.004) Prec@5 60.156 (65.393) Epoch: [6][4150/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6252 (2.7992) Prec@1 40.625 (40.011) Prec@5 64.844 (65.395) Epoch: [6][4160/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0156 (2.7995) Prec@1 39.844 (40.007) Prec@5 53.125 (65.385) Epoch: [6][4170/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7990 (2.7995) Prec@1 41.406 (40.008) Prec@5 66.406 (65.385) Epoch: [6][4180/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7081 (2.7996) Prec@1 42.969 (40.008) Prec@5 65.625 (65.382) Epoch: [6][4190/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9624 (2.7995) Prec@1 33.594 (40.008) Prec@5 64.062 (65.385) Epoch: [6][4200/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.9336 (2.7995) Prec@1 33.594 (40.004) Prec@5 60.938 (65.389) Epoch: [6][4210/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.0465 (2.7994) Prec@1 38.281 (40.006) Prec@5 60.938 (65.394) Epoch: [6][4220/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7614 (2.7994) Prec@1 37.500 (40.001) Prec@5 65.625 (65.393) Epoch: [6][4230/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7004 (2.7992) Prec@1 42.188 (40.004) Prec@5 70.312 (65.399) Epoch: [6][4240/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7344 (2.7993) Prec@1 40.625 (40.004) Prec@5 67.969 (65.397) Epoch: [6][4250/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7265 (2.7993) Prec@1 39.844 (40.007) Prec@5 69.531 (65.396) Epoch: [6][4260/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0901 (2.7993) Prec@1 36.719 (40.008) Prec@5 60.156 (65.398) Epoch: [6][4270/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7819 (2.7993) Prec@1 37.500 (40.007) Prec@5 66.406 (65.399) Epoch: [6][4280/10010] Time 0.354 (0.332) Data 0.000 (0.001) Loss 2.9670 (2.7993) Prec@1 41.406 (40.005) Prec@5 58.594 (65.400) Epoch: [6][4290/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7088 (2.7993) Prec@1 42.188 (40.003) Prec@5 64.844 (65.397) Epoch: [6][4300/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8131 (2.7993) Prec@1 41.406 (40.002) Prec@5 70.312 (65.397) Epoch: [6][4310/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7884 (2.7993) Prec@1 38.281 (40.003) Prec@5 68.750 (65.398) Epoch: [6][4320/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5527 (2.7992) Prec@1 49.219 (40.006) Prec@5 75.000 (65.399) Epoch: [6][4330/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8843 (2.7994) Prec@1 37.500 (39.999) Prec@5 60.156 (65.396) Epoch: [6][4340/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 3.1837 (2.7995) Prec@1 33.594 (39.996) Prec@5 60.938 (65.394) Epoch: [6][4350/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9214 (2.7996) Prec@1 36.719 (39.994) Prec@5 55.469 (65.392) Epoch: [6][4360/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.0298 (2.7997) Prec@1 33.594 (39.988) Prec@5 64.844 (65.389) Epoch: [6][4370/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.1273 (2.7999) Prec@1 32.031 (39.987) Prec@5 62.500 (65.386) Epoch: [6][4380/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.0212 (2.7999) Prec@1 37.500 (39.988) Prec@5 60.938 (65.384) Epoch: [6][4390/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7490 (2.8000) Prec@1 41.406 (39.986) Prec@5 64.844 (65.378) Epoch: [6][4400/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4107 (2.7998) Prec@1 42.188 (39.987) Prec@5 73.438 (65.381) Epoch: [6][4410/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8248 (2.7997) Prec@1 35.938 (39.986) Prec@5 65.625 (65.381) Epoch: [6][4420/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6886 (2.7998) Prec@1 42.188 (39.986) Prec@5 70.312 (65.380) Epoch: [6][4430/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8402 (2.7996) Prec@1 32.031 (39.985) Prec@5 64.844 (65.382) Epoch: [6][4440/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.8800 (2.7995) Prec@1 36.719 (39.985) Prec@5 62.500 (65.384) Epoch: [6][4450/10010] Time 0.351 (0.332) Data 0.001 (0.001) Loss 2.7639 (2.7995) Prec@1 38.281 (39.983) Prec@5 69.531 (65.381) Epoch: [6][4460/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5178 (2.7993) Prec@1 44.531 (39.990) Prec@5 71.094 (65.387) /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: [6][4470/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8168 (2.7993) Prec@1 39.844 (39.994) Prec@5 67.188 (65.388) Epoch: [6][4480/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6778 (2.7993) Prec@1 39.844 (39.994) Prec@5 66.406 (65.387) Epoch: [6][4490/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6472 (2.7992) Prec@1 35.938 (39.991) Prec@5 64.844 (65.389) Epoch: [6][4500/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.2762 (2.7990) Prec@1 46.875 (39.992) Prec@5 77.344 (65.393) Epoch: [6][4510/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6921 (2.7989) Prec@1 39.062 (39.998) Prec@5 64.844 (65.393) Epoch: [6][4520/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6842 (2.7990) Prec@1 40.625 (39.998) Prec@5 64.062 (65.391) Epoch: [6][4530/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6106 (2.7987) Prec@1 42.188 (39.999) Prec@5 67.969 (65.395) Epoch: [6][4540/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.3592 (2.7990) Prec@1 51.562 (39.996) Prec@5 72.656 (65.391) Epoch: [6][4550/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9142 (2.7990) Prec@1 35.938 (39.995) Prec@5 60.938 (65.388) Epoch: [6][4560/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9542 (2.7990) Prec@1 44.531 (39.997) Prec@5 59.375 (65.389) Epoch: [6][4570/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 3.0020 (2.7990) Prec@1 40.625 (39.994) Prec@5 64.062 (65.387) Epoch: [6][4580/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8606 (2.7989) Prec@1 35.156 (39.994) Prec@5 59.375 (65.387) Epoch: [6][4590/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6854 (2.7986) Prec@1 47.656 (39.999) Prec@5 65.625 (65.392) Epoch: [6][4600/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8432 (2.7985) Prec@1 37.500 (40.001) Prec@5 60.938 (65.393) Epoch: [6][4610/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.0445 (2.7986) Prec@1 36.719 (39.998) Prec@5 62.500 (65.393) Epoch: [6][4620/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.8058 (2.7986) Prec@1 38.281 (39.997) Prec@5 66.406 (65.395) Epoch: [6][4630/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9418 (2.7987) Prec@1 37.500 (39.994) Prec@5 60.156 (65.396) Epoch: [6][4640/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 3.1904 (2.7987) Prec@1 34.375 (39.992) Prec@5 56.250 (65.393) Epoch: [6][4650/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9716 (2.7988) Prec@1 38.281 (39.989) Prec@5 58.594 (65.389) Epoch: [6][4660/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6323 (2.7989) Prec@1 41.406 (39.990) Prec@5 68.750 (65.387) Epoch: [6][4670/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9597 (2.7987) Prec@1 35.156 (39.991) Prec@5 63.281 (65.386) Epoch: [6][4680/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6760 (2.7987) Prec@1 45.312 (39.992) Prec@5 67.969 (65.386) Epoch: [6][4690/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8783 (2.7988) Prec@1 40.625 (39.993) Prec@5 63.281 (65.386) Epoch: [6][4700/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 3.1341 (2.7989) Prec@1 32.812 (39.992) Prec@5 61.719 (65.385) Epoch: [6][4710/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6072 (2.7988) Prec@1 43.750 (39.992) Prec@5 74.219 (65.387) Epoch: [6][4720/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.0202 (2.7991) Prec@1 38.281 (39.990) Prec@5 56.250 (65.377) Epoch: [6][4730/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9678 (2.7990) Prec@1 36.719 (39.990) Prec@5 68.750 (65.379) Epoch: [6][4740/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8744 (2.7991) Prec@1 40.625 (39.990) Prec@5 67.188 (65.379) Epoch: [6][4750/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9816 (2.7992) Prec@1 42.188 (39.990) Prec@5 66.406 (65.380) Epoch: [6][4760/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.0227 (2.7992) Prec@1 35.156 (39.987) Prec@5 60.156 (65.378) Epoch: [6][4770/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6997 (2.7991) Prec@1 41.406 (39.991) Prec@5 70.312 (65.378) Epoch: [6][4780/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6749 (2.7990) Prec@1 43.750 (39.993) Prec@5 73.438 (65.384) Epoch: [6][4790/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.9350 (2.7993) Prec@1 36.719 (39.991) Prec@5 65.625 (65.379) Epoch: [6][4800/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 3.0654 (2.7992) Prec@1 32.812 (39.991) Prec@5 64.062 (65.381) Epoch: [6][4810/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 3.0363 (2.7992) Prec@1 32.031 (39.988) Prec@5 62.500 (65.381) Epoch: [6][4820/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4761 (2.7992) Prec@1 45.312 (39.992) Prec@5 72.656 (65.382) Epoch: [6][4830/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.5792 (2.7990) Prec@1 37.500 (39.992) Prec@5 74.219 (65.384) Epoch: [6][4840/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7816 (2.7992) Prec@1 45.312 (39.990) Prec@5 61.719 (65.381) Epoch: [6][4850/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7168 (2.7991) Prec@1 40.625 (39.991) Prec@5 65.625 (65.383) Epoch: [6][4860/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8203 (2.7992) Prec@1 38.281 (39.990) Prec@5 64.062 (65.382) Epoch: [6][4870/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.3513 (2.7992) Prec@1 50.781 (39.994) Prec@5 68.750 (65.381) Epoch: [6][4880/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.0804 (2.7992) Prec@1 37.500 (39.993) Prec@5 56.250 (65.379) Epoch: [6][4890/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6773 (2.7992) Prec@1 44.531 (39.995) Prec@5 64.062 (65.378) Epoch: [6][4900/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.2180 (2.7992) Prec@1 38.281 (39.997) Prec@5 61.719 (65.376) Epoch: [6][4910/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6355 (2.7992) Prec@1 43.750 (39.997) Prec@5 71.094 (65.378) Epoch: [6][4920/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7372 (2.7993) Prec@1 41.406 (39.994) Prec@5 62.500 (65.375) Epoch: [6][4930/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5305 (2.7992) Prec@1 41.406 (39.997) Prec@5 71.094 (65.382) Epoch: [6][4940/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.2139 (2.7991) Prec@1 39.844 (40.001) Prec@5 56.250 (65.383) Epoch: [6][4950/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6246 (2.7989) Prec@1 42.188 (40.007) Prec@5 70.312 (65.385) Epoch: [6][4960/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7953 (2.7988) Prec@1 35.156 (40.007) Prec@5 66.406 (65.384) Epoch: [6][4970/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8854 (2.7988) Prec@1 40.625 (40.009) Prec@5 64.844 (65.385) Epoch: [6][4980/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8763 (2.7987) Prec@1 39.062 (40.010) Prec@5 65.625 (65.387) Epoch: [6][4990/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9152 (2.7988) Prec@1 42.188 (40.010) Prec@5 67.969 (65.385) Epoch: [6][5000/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5972 (2.7989) Prec@1 41.406 (40.009) Prec@5 63.281 (65.381) Epoch: [6][5010/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7047 (2.7989) Prec@1 40.625 (40.007) Prec@5 68.750 (65.380) /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: [6][5020/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5452 (2.7988) Prec@1 46.875 (40.011) Prec@5 72.656 (65.383) Epoch: [6][5030/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8166 (2.7989) Prec@1 38.281 (40.008) Prec@5 65.625 (65.385) Epoch: [6][5040/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7297 (2.7988) Prec@1 43.750 (40.012) Prec@5 64.844 (65.387) Epoch: [6][5050/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8133 (2.7987) Prec@1 36.719 (40.010) Prec@5 64.844 (65.387) Epoch: [6][5060/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.0806 (2.7989) Prec@1 35.156 (40.011) Prec@5 61.719 (65.387) Epoch: [6][5070/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.9630 (2.7989) Prec@1 38.281 (40.011) Prec@5 67.188 (65.387) Epoch: [6][5080/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8397 (2.7991) Prec@1 40.625 (40.002) Prec@5 64.844 (65.382) Epoch: [6][5090/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6600 (2.7993) Prec@1 44.531 (40.000) Prec@5 71.875 (65.380) Epoch: [6][5100/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.0083 (2.7995) Prec@1 36.719 (39.998) Prec@5 63.281 (65.379) Epoch: [6][5110/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7728 (2.7996) Prec@1 35.938 (39.997) Prec@5 65.625 (65.378) Epoch: [6][5120/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9332 (2.7998) Prec@1 39.844 (39.995) Prec@5 61.719 (65.372) Epoch: [6][5130/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 3.2066 (2.7999) Prec@1 32.031 (39.990) Prec@5 57.031 (65.370) Epoch: [6][5140/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7937 (2.7998) Prec@1 38.281 (39.992) Prec@5 59.375 (65.370) Epoch: [6][5150/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5230 (2.7998) Prec@1 49.219 (39.993) Prec@5 67.188 (65.372) Epoch: [6][5160/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9154 (2.7995) Prec@1 43.750 (39.998) Prec@5 65.625 (65.375) Epoch: [6][5170/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3067 (2.7995) Prec@1 46.094 (40.000) Prec@5 75.000 (65.378) Epoch: [6][5180/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7206 (2.7995) Prec@1 38.281 (40.002) Prec@5 65.625 (65.379) Epoch: [6][5190/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8569 (2.7995) Prec@1 41.406 (40.001) Prec@5 65.625 (65.378) Epoch: [6][5200/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7574 (2.7991) Prec@1 37.500 (40.010) Prec@5 61.719 (65.385) Epoch: [6][5210/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6200 (2.7990) Prec@1 42.188 (40.008) Prec@5 67.188 (65.386) Epoch: [6][5220/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9171 (2.7992) Prec@1 39.844 (40.005) Prec@5 64.844 (65.382) Epoch: [6][5230/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.8707 (2.7994) Prec@1 35.156 (40.002) Prec@5 68.750 (65.378) Epoch: [6][5240/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7375 (2.7992) Prec@1 37.500 (40.003) Prec@5 67.188 (65.380) Epoch: [6][5250/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6939 (2.7991) Prec@1 41.406 (40.005) Prec@5 67.969 (65.383) Epoch: [6][5260/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8962 (2.7992) Prec@1 37.500 (40.003) Prec@5 60.938 (65.382) Epoch: [6][5270/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.8245 (2.7993) Prec@1 39.844 (40.002) Prec@5 62.500 (65.377) Epoch: [6][5280/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6502 (2.7993) Prec@1 41.406 (40.005) Prec@5 66.406 (65.374) Epoch: [6][5290/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4135 (2.7992) Prec@1 47.656 (40.007) Prec@5 71.875 (65.376) Epoch: [6][5300/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6365 (2.7993) Prec@1 43.750 (40.010) Prec@5 65.625 (65.375) Epoch: [6][5310/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6897 (2.7992) Prec@1 42.969 (40.011) Prec@5 66.406 (65.376) Epoch: [6][5320/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8730 (2.7993) Prec@1 34.375 (40.006) Prec@5 63.281 (65.373) Epoch: [6][5330/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5139 (2.7993) Prec@1 45.312 (40.007) Prec@5 71.875 (65.373) Epoch: [6][5340/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 2.6256 (2.7991) Prec@1 42.969 (40.009) Prec@5 68.750 (65.375) Epoch: [6][5350/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6363 (2.7990) Prec@1 43.750 (40.007) Prec@5 69.531 (65.378) Epoch: [6][5360/10010] Time 0.345 (0.332) Data 0.002 (0.001) Loss 2.6945 (2.7989) Prec@1 42.969 (40.012) Prec@5 67.969 (65.379) Epoch: [6][5370/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8656 (2.7989) Prec@1 38.281 (40.014) Prec@5 62.500 (65.377) Epoch: [6][5380/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7150 (2.7988) Prec@1 39.844 (40.015) Prec@5 66.406 (65.378) Epoch: [6][5390/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 3.2164 (2.7990) Prec@1 28.906 (40.012) Prec@5 57.812 (65.375) Epoch: [6][5400/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5982 (2.7992) Prec@1 39.844 (40.009) Prec@5 65.625 (65.369) Epoch: [6][5410/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.2534 (2.7991) Prec@1 44.531 (40.009) Prec@5 78.906 (65.372) Epoch: [6][5420/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 3.0887 (2.7992) Prec@1 39.844 (40.009) Prec@5 57.812 (65.365) Epoch: [6][5430/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4708 (2.7990) Prec@1 43.750 (40.010) Prec@5 74.219 (65.369) Epoch: [6][5440/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 3.0510 (2.7991) Prec@1 35.156 (40.007) Prec@5 61.719 (65.371) Epoch: [6][5450/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6694 (2.7990) Prec@1 44.531 (40.010) Prec@5 67.188 (65.372) Epoch: [6][5460/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.0254 (2.7991) Prec@1 39.844 (40.008) Prec@5 61.719 (65.370) Epoch: [6][5470/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8633 (2.7991) Prec@1 35.938 (40.006) Prec@5 67.188 (65.373) Epoch: [6][5480/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.5943 (2.7992) Prec@1 42.188 (40.006) Prec@5 64.844 (65.370) Epoch: [6][5490/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9698 (2.7991) Prec@1 38.281 (40.007) Prec@5 60.156 (65.373) Epoch: [6][5500/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6138 (2.7989) Prec@1 42.188 (40.009) Prec@5 68.750 (65.376) Epoch: [6][5510/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.6785 (2.7989) Prec@1 46.875 (40.009) Prec@5 67.969 (65.376) Epoch: [6][5520/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6141 (2.7991) Prec@1 39.844 (40.004) Prec@5 68.750 (65.373) Epoch: [6][5530/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7434 (2.7989) Prec@1 39.062 (40.005) Prec@5 67.188 (65.375) Epoch: [6][5540/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4237 (2.7988) Prec@1 47.656 (40.009) Prec@5 73.438 (65.375) Epoch: [6][5550/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.1042 (2.7988) Prec@1 32.812 (40.009) Prec@5 66.406 (65.376) Epoch: [6][5560/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6029 (2.7986) Prec@1 46.094 (40.012) Prec@5 68.750 (65.380) Epoch: [6][5570/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5155 (2.7986) Prec@1 44.531 (40.013) Prec@5 73.438 (65.381) Epoch: [6][5580/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4456 (2.7986) Prec@1 46.094 (40.014) Prec@5 72.656 (65.380) Epoch: [6][5590/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8878 (2.7984) Prec@1 40.625 (40.016) Prec@5 62.500 (65.384) Epoch: [6][5600/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.0971 (2.7983) Prec@1 32.812 (40.021) Prec@5 64.844 (65.389) Epoch: [6][5610/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9436 (2.7985) Prec@1 39.844 (40.022) Prec@5 64.062 (65.389) Epoch: [6][5620/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 3.1804 (2.7986) Prec@1 35.938 (40.023) Prec@5 60.938 (65.385) Epoch: [6][5630/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9039 (2.7986) Prec@1 36.719 (40.023) Prec@5 60.156 (65.381) Epoch: [6][5640/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.2208 (2.7989) Prec@1 37.500 (40.019) Prec@5 65.625 (65.378) Epoch: [6][5650/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.2359 (2.7989) Prec@1 29.688 (40.018) Prec@5 57.812 (65.378) Epoch: [6][5660/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7701 (2.7987) Prec@1 40.625 (40.021) Prec@5 63.281 (65.379) Epoch: [6][5670/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9100 (2.7986) Prec@1 38.281 (40.021) Prec@5 61.719 (65.378) Epoch: [6][5680/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6889 (2.7986) Prec@1 42.969 (40.024) Prec@5 64.844 (65.379) Epoch: [6][5690/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0247 (2.7987) Prec@1 32.031 (40.021) Prec@5 58.594 (65.377) Epoch: [6][5700/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7477 (2.7986) Prec@1 42.969 (40.023) Prec@5 68.750 (65.377) Epoch: [6][5710/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7108 (2.7987) Prec@1 45.312 (40.024) Prec@5 69.531 (65.378) Epoch: [6][5720/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6264 (2.7986) Prec@1 43.750 (40.024) Prec@5 67.969 (65.379) Epoch: [6][5730/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5112 (2.7985) Prec@1 46.094 (40.025) Prec@5 68.750 (65.380) Epoch: [6][5740/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5587 (2.7984) Prec@1 41.406 (40.028) Prec@5 74.219 (65.384) Epoch: [6][5750/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.1047 (2.7984) Prec@1 39.844 (40.031) Prec@5 59.375 (65.384) Epoch: [6][5760/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7682 (2.7984) Prec@1 44.531 (40.033) Prec@5 63.281 (65.382) Epoch: [6][5770/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4544 (2.7984) Prec@1 45.312 (40.031) Prec@5 71.094 (65.382) Epoch: [6][5780/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5757 (2.7983) Prec@1 46.875 (40.033) Prec@5 68.750 (65.383) Epoch: [6][5790/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6454 (2.7983) Prec@1 44.531 (40.032) Prec@5 66.406 (65.381) Epoch: [6][5800/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6340 (2.7983) Prec@1 42.969 (40.033) Prec@5 66.406 (65.381) Epoch: [6][5810/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.0450 (2.7982) Prec@1 33.594 (40.035) Prec@5 58.594 (65.381) Epoch: [6][5820/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6753 (2.7983) Prec@1 42.188 (40.035) Prec@5 65.625 (65.380) Epoch: [6][5830/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9468 (2.7984) Prec@1 36.719 (40.036) Prec@5 61.719 (65.377) Epoch: [6][5840/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9313 (2.7987) Prec@1 38.281 (40.033) Prec@5 61.719 (65.372) Epoch: [6][5850/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8482 (2.7986) Prec@1 33.594 (40.033) Prec@5 60.938 (65.372) Epoch: [6][5860/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 3.0900 (2.7988) Prec@1 31.250 (40.028) Prec@5 63.281 (65.371) Epoch: [6][5870/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9315 (2.7986) Prec@1 39.062 (40.032) Prec@5 58.594 (65.372) Epoch: [6][5880/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.7293 (2.7985) Prec@1 41.406 (40.034) Prec@5 64.844 (65.373) Epoch: [6][5890/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8199 (2.7986) Prec@1 40.625 (40.033) Prec@5 65.625 (65.373) Epoch: [6][5900/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8646 (2.7986) Prec@1 36.719 (40.032) Prec@5 60.938 (65.372) Epoch: [6][5910/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9059 (2.7985) Prec@1 39.844 (40.034) Prec@5 61.719 (65.372) Epoch: [6][5920/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6614 (2.7983) Prec@1 42.969 (40.039) Prec@5 67.969 (65.375) Epoch: [6][5930/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7614 (2.7982) Prec@1 38.281 (40.037) Prec@5 67.188 (65.376) Epoch: [6][5940/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5530 (2.7983) Prec@1 39.844 (40.037) Prec@5 71.094 (65.376) Epoch: [6][5950/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0984 (2.7982) Prec@1 29.688 (40.036) Prec@5 60.938 (65.377) Epoch: [6][5960/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 2.7176 (2.7983) Prec@1 42.188 (40.036) Prec@5 64.844 (65.376) Epoch: [6][5970/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6318 (2.7985) Prec@1 43.750 (40.033) Prec@5 67.188 (65.374) Epoch: [6][5980/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7470 (2.7985) Prec@1 41.406 (40.031) Prec@5 64.844 (65.374) Epoch: [6][5990/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.2008 (2.7985) Prec@1 34.375 (40.031) Prec@5 57.812 (65.374) Epoch: [6][6000/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9575 (2.7986) Prec@1 30.469 (40.027) Prec@5 62.500 (65.372) Epoch: [6][6010/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4334 (2.7985) Prec@1 43.750 (40.026) Prec@5 70.312 (65.376) Epoch: [6][6020/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4736 (2.7984) Prec@1 44.531 (40.025) Prec@5 71.094 (65.378) Epoch: [6][6030/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.0401 (2.7985) Prec@1 36.719 (40.024) Prec@5 58.594 (65.374) Epoch: [6][6040/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5600 (2.7985) Prec@1 42.969 (40.027) Prec@5 68.750 (65.373) Epoch: [6][6050/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8421 (2.7984) Prec@1 42.188 (40.029) Prec@5 67.188 (65.375) Epoch: [6][6060/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.1444 (2.7983) Prec@1 35.156 (40.031) Prec@5 58.594 (65.379) Epoch: [6][6070/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0374 (2.7983) Prec@1 39.062 (40.033) Prec@5 58.594 (65.376) Epoch: [6][6080/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8388 (2.7984) Prec@1 39.844 (40.034) Prec@5 64.844 (65.377) Epoch: [6][6090/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8376 (2.7982) Prec@1 36.719 (40.035) Prec@5 68.750 (65.380) Epoch: [6][6100/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5132 (2.7980) Prec@1 42.969 (40.038) Prec@5 72.656 (65.381) Epoch: [6][6110/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9499 (2.7982) Prec@1 37.500 (40.036) Prec@5 64.062 (65.379) Epoch: [6][6120/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8451 (2.7981) Prec@1 33.594 (40.037) Prec@5 64.844 (65.380) Epoch: [6][6130/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8032 (2.7979) Prec@1 36.719 (40.039) Prec@5 65.625 (65.383) Epoch: [6][6140/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.5775 (2.7979) Prec@1 42.969 (40.041) Prec@5 70.312 (65.381) Epoch: [6][6150/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6884 (2.7979) Prec@1 46.875 (40.043) Prec@5 68.750 (65.383) Epoch: [6][6160/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7955 (2.7979) Prec@1 40.625 (40.043) Prec@5 64.844 (65.382) Epoch: [6][6170/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7213 (2.7979) Prec@1 42.188 (40.039) Prec@5 70.312 (65.384) Epoch: [6][6180/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4965 (2.7976) Prec@1 40.625 (40.044) Prec@5 72.656 (65.392) Epoch: [6][6190/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6100 (2.7976) Prec@1 42.188 (40.044) Prec@5 70.312 (65.391) Epoch: [6][6200/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7342 (2.7978) Prec@1 43.750 (40.042) Prec@5 68.750 (65.390) Epoch: [6][6210/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6958 (2.7980) Prec@1 39.844 (40.038) Prec@5 67.188 (65.385) Epoch: [6][6220/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5547 (2.7978) Prec@1 41.406 (40.039) Prec@5 69.531 (65.386) Epoch: [6][6230/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6504 (2.7977) Prec@1 41.406 (40.038) Prec@5 67.969 (65.386) Epoch: [6][6240/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8526 (2.7977) Prec@1 33.594 (40.040) Prec@5 64.844 (65.388) Epoch: [6][6250/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.2802 (2.7978) Prec@1 30.469 (40.039) Prec@5 58.594 (65.386) Epoch: [6][6260/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7935 (2.7978) Prec@1 38.281 (40.040) Prec@5 66.406 (65.388) Epoch: [6][6270/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8555 (2.7978) Prec@1 37.500 (40.039) Prec@5 67.969 (65.388) Epoch: [6][6280/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7933 (2.7979) Prec@1 39.062 (40.039) Prec@5 65.625 (65.387) Epoch: [6][6290/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6166 (2.7978) Prec@1 43.750 (40.039) Prec@5 69.531 (65.389) Epoch: [6][6300/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9775 (2.7978) Prec@1 41.406 (40.042) Prec@5 63.281 (65.390) Epoch: [6][6310/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7992 (2.7978) Prec@1 43.750 (40.042) Prec@5 67.188 (65.392) Epoch: [6][6320/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8713 (2.7977) Prec@1 38.281 (40.043) Prec@5 64.062 (65.395) Epoch: [6][6330/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4674 (2.7976) Prec@1 46.094 (40.045) Prec@5 67.969 (65.396) Epoch: [6][6340/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8151 (2.7976) Prec@1 37.500 (40.047) Prec@5 67.969 (65.396) Epoch: [6][6350/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6835 (2.7976) Prec@1 42.969 (40.048) Prec@5 67.188 (65.397) Epoch: [6][6360/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7947 (2.7977) Prec@1 39.062 (40.046) Prec@5 65.625 (65.396) Epoch: [6][6370/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4379 (2.7977) Prec@1 42.188 (40.046) Prec@5 71.094 (65.396) Epoch: [6][6380/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7053 (2.7978) Prec@1 42.188 (40.046) Prec@5 64.844 (65.393) Epoch: [6][6390/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.4998 (2.7978) Prec@1 42.969 (40.046) Prec@5 67.969 (65.394) Epoch: [6][6400/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 3.2493 (2.7978) Prec@1 31.250 (40.045) Prec@5 59.375 (65.394) Epoch: [6][6410/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.0824 (2.7980) Prec@1 38.281 (40.044) Prec@5 60.938 (65.391) Epoch: [6][6420/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.9116 (2.7980) Prec@1 38.281 (40.042) Prec@5 64.844 (65.392) Epoch: [6][6430/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.4944 (2.7980) Prec@1 48.438 (40.045) Prec@5 71.094 (65.392) Epoch: [6][6440/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8436 (2.7980) Prec@1 42.969 (40.042) Prec@5 59.375 (65.391) Epoch: [6][6450/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.0072 (2.7981) Prec@1 39.844 (40.041) Prec@5 64.062 (65.392) Epoch: [6][6460/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5738 (2.7981) Prec@1 45.312 (40.043) Prec@5 67.188 (65.391) Epoch: [6][6470/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7042 (2.7980) Prec@1 43.750 (40.045) Prec@5 69.531 (65.394) Epoch: [6][6480/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 2.3634 (2.7980) Prec@1 45.312 (40.044) Prec@5 70.312 (65.392) Epoch: [6][6490/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.5337 (2.7978) Prec@1 43.750 (40.048) Prec@5 67.969 (65.395) Epoch: [6][6500/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8158 (2.7980) Prec@1 39.062 (40.047) Prec@5 64.844 (65.393) Epoch: [6][6510/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9040 (2.7981) Prec@1 41.406 (40.046) Prec@5 64.062 (65.388) Epoch: [6][6520/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6402 (2.7979) Prec@1 44.531 (40.047) Prec@5 64.844 (65.391) Epoch: [6][6530/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7870 (2.7979) Prec@1 36.719 (40.049) Prec@5 63.281 (65.390) Epoch: [6][6540/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5691 (2.7979) Prec@1 43.750 (40.050) Prec@5 70.312 (65.392) Epoch: [6][6550/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7929 (2.7979) Prec@1 37.500 (40.050) Prec@5 67.188 (65.394) Epoch: [6][6560/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5807 (2.7977) Prec@1 40.625 (40.054) Prec@5 70.312 (65.398) Epoch: [6][6570/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9884 (2.7977) Prec@1 37.500 (40.053) Prec@5 60.156 (65.396) Epoch: [6][6580/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6466 (2.7976) Prec@1 37.500 (40.052) Prec@5 64.062 (65.398) Epoch: [6][6590/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.9303 (2.7976) Prec@1 38.281 (40.055) Prec@5 66.406 (65.399) Epoch: [6][6600/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6909 (2.7975) Prec@1 39.844 (40.056) Prec@5 67.188 (65.401) Epoch: [6][6610/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5960 (2.7973) Prec@1 37.500 (40.058) Prec@5 66.406 (65.403) Epoch: [6][6620/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6883 (2.7974) Prec@1 41.406 (40.056) Prec@5 63.281 (65.402) Epoch: [6][6630/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6112 (2.7974) Prec@1 47.656 (40.056) Prec@5 68.750 (65.404) Epoch: [6][6640/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6051 (2.7973) Prec@1 39.062 (40.057) Prec@5 71.094 (65.406) Epoch: [6][6650/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6496 (2.7973) Prec@1 43.750 (40.056) Prec@5 69.531 (65.406) Epoch: [6][6660/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0029 (2.7973) Prec@1 39.062 (40.057) Prec@5 64.844 (65.408) Epoch: [6][6670/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7687 (2.7972) Prec@1 41.406 (40.058) Prec@5 65.625 (65.408) Epoch: [6][6680/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7628 (2.7972) Prec@1 40.625 (40.058) Prec@5 65.625 (65.407) Epoch: [6][6690/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.6128 (2.7972) Prec@1 44.531 (40.056) Prec@5 67.969 (65.407) Epoch: [6][6700/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0243 (2.7972) Prec@1 37.500 (40.059) Prec@5 60.156 (65.408) Epoch: [6][6710/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5141 (2.7972) Prec@1 53.906 (40.060) Prec@5 75.000 (65.409) Epoch: [6][6720/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5453 (2.7972) Prec@1 44.531 (40.059) Prec@5 67.969 (65.406) Epoch: [6][6730/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8785 (2.7972) Prec@1 33.594 (40.058) Prec@5 64.062 (65.406) Epoch: [6][6740/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.2112 (2.7973) Prec@1 33.594 (40.056) Prec@5 57.031 (65.404) Epoch: [6][6750/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7706 (2.7974) Prec@1 41.406 (40.055) Prec@5 70.312 (65.405) Epoch: [6][6760/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8952 (2.7974) Prec@1 37.500 (40.052) Prec@5 65.625 (65.404) Epoch: [6][6770/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5172 (2.7974) Prec@1 42.969 (40.053) Prec@5 72.656 (65.405) Epoch: [6][6780/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6774 (2.7974) Prec@1 42.969 (40.052) Prec@5 66.406 (65.407) Epoch: [6][6790/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8539 (2.7975) Prec@1 40.625 (40.050) Prec@5 65.625 (65.404) Epoch: [6][6800/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7597 (2.7975) Prec@1 39.844 (40.050) Prec@5 64.062 (65.403) Epoch: [6][6810/10010] Time 0.352 (0.332) Data 0.000 (0.001) Loss 2.8642 (2.7976) Prec@1 44.531 (40.046) Prec@5 64.062 (65.400) Epoch: [6][6820/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.3350 (2.7977) Prec@1 30.469 (40.043) Prec@5 59.375 (65.400) Epoch: [6][6830/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6581 (2.7976) Prec@1 43.750 (40.047) Prec@5 62.500 (65.402) Epoch: [6][6840/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.3465 (2.7975) Prec@1 48.438 (40.050) Prec@5 74.219 (65.404) Epoch: [6][6850/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6113 (2.7974) Prec@1 35.156 (40.051) Prec@5 68.750 (65.405) Epoch: [6][6860/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5378 (2.7975) Prec@1 45.312 (40.051) Prec@5 71.094 (65.404) Epoch: [6][6870/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7571 (2.7975) Prec@1 42.969 (40.049) Prec@5 69.531 (65.406) Epoch: [6][6880/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7795 (2.7976) Prec@1 39.844 (40.047) Prec@5 63.281 (65.406) Epoch: [6][6890/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6594 (2.7977) Prec@1 45.312 (40.046) Prec@5 65.625 (65.407) Epoch: [6][6900/10010] Time 0.311 (0.332) Data 0.001 (0.001) Loss 2.3614 (2.7978) Prec@1 50.000 (40.046) Prec@5 71.875 (65.407) Epoch: [6][6910/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.4499 (2.7977) Prec@1 48.438 (40.047) Prec@5 71.094 (65.408) Epoch: [6][6920/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6464 (2.7976) Prec@1 44.531 (40.050) Prec@5 67.969 (65.412) Epoch: [6][6930/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6775 (2.7975) Prec@1 45.312 (40.053) Prec@5 65.625 (65.412) Epoch: [6][6940/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4215 (2.7974) Prec@1 46.875 (40.057) Prec@5 75.781 (65.413) Epoch: [6][6950/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8273 (2.7972) Prec@1 37.500 (40.059) Prec@5 64.062 (65.417) Epoch: [6][6960/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6057 (2.7971) Prec@1 39.844 (40.060) Prec@5 66.406 (65.419) Epoch: [6][6970/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6174 (2.7971) Prec@1 39.844 (40.062) Prec@5 72.656 (65.418) Epoch: [6][6980/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5700 (2.7971) Prec@1 42.188 (40.062) Prec@5 72.656 (65.419) Epoch: [6][6990/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9192 (2.7971) Prec@1 38.281 (40.063) Prec@5 61.719 (65.417) Epoch: [6][7000/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6392 (2.7970) Prec@1 38.281 (40.064) Prec@5 68.750 (65.419) Epoch: [6][7010/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7247 (2.7971) Prec@1 44.531 (40.068) Prec@5 64.844 (65.419) Epoch: [6][7020/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9301 (2.7971) Prec@1 39.844 (40.069) Prec@5 67.969 (65.419) Epoch: [6][7030/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8571 (2.7972) Prec@1 33.594 (40.066) Prec@5 67.188 (65.418) Epoch: [6][7040/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6259 (2.7971) Prec@1 39.844 (40.066) Prec@5 66.406 (65.419) Epoch: [6][7050/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9090 (2.7971) Prec@1 35.156 (40.065) Prec@5 67.969 (65.420) Epoch: [6][7060/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5356 (2.7969) Prec@1 42.969 (40.066) Prec@5 69.531 (65.424) Epoch: [6][7070/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7275 (2.7969) Prec@1 42.969 (40.069) Prec@5 64.062 (65.423) Epoch: [6][7080/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8334 (2.7970) Prec@1 39.844 (40.065) Prec@5 60.156 (65.419) Epoch: [6][7090/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.7610 (2.7970) Prec@1 42.969 (40.063) Prec@5 67.969 (65.420) Epoch: [6][7100/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9860 (2.7970) Prec@1 36.719 (40.061) Prec@5 60.938 (65.419) Epoch: [6][7110/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5996 (2.7970) Prec@1 41.406 (40.061) Prec@5 70.312 (65.417) Epoch: [6][7120/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8249 (2.7972) Prec@1 36.719 (40.057) Prec@5 66.406 (65.414) Epoch: [6][7130/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7225 (2.7971) Prec@1 41.406 (40.057) Prec@5 65.625 (65.415) Epoch: [6][7140/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7788 (2.7972) Prec@1 36.719 (40.055) Prec@5 66.406 (65.414) Epoch: [6][7150/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6150 (2.7972) Prec@1 42.188 (40.055) Prec@5 70.312 (65.416) Epoch: [6][7160/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9797 (2.7972) Prec@1 34.375 (40.054) Prec@5 63.281 (65.415) Epoch: [6][7170/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.9483 (2.7974) Prec@1 39.062 (40.052) Prec@5 66.406 (65.411) Epoch: [6][7180/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9175 (2.7974) Prec@1 34.375 (40.051) Prec@5 60.938 (65.411) Epoch: [6][7190/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4100 (2.7973) Prec@1 47.656 (40.051) Prec@5 70.312 (65.412) Epoch: [6][7200/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9735 (2.7975) Prec@1 34.375 (40.046) Prec@5 63.281 (65.408) Epoch: [6][7210/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4261 (2.7976) Prec@1 46.094 (40.044) Prec@5 74.219 (65.408) Epoch: [6][7220/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.9410 (2.7977) Prec@1 39.062 (40.042) Prec@5 64.844 (65.407) Epoch: [6][7230/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7807 (2.7977) Prec@1 41.406 (40.043) Prec@5 60.156 (65.407) Epoch: [6][7240/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.1573 (2.7978) Prec@1 32.031 (40.040) Prec@5 60.156 (65.405) Epoch: [6][7250/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9122 (2.7978) Prec@1 37.500 (40.042) Prec@5 63.281 (65.403) Epoch: [6][7260/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8928 (2.7979) Prec@1 35.938 (40.042) Prec@5 63.281 (65.402) Epoch: [6][7270/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6603 (2.7979) Prec@1 39.844 (40.042) Prec@5 71.875 (65.402) Epoch: [6][7280/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9033 (2.7979) Prec@1 42.188 (40.042) Prec@5 58.594 (65.403) Epoch: [6][7290/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5708 (2.7979) Prec@1 46.094 (40.042) Prec@5 72.656 (65.402) Epoch: [6][7300/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6289 (2.7980) Prec@1 42.188 (40.041) Prec@5 69.531 (65.401) Epoch: [6][7310/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7061 (2.7979) Prec@1 43.750 (40.042) Prec@5 65.625 (65.401) Epoch: [6][7320/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.0998 (2.7979) Prec@1 35.938 (40.044) Prec@5 60.938 (65.400) Epoch: [6][7330/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9765 (2.7980) Prec@1 30.469 (40.040) Prec@5 65.625 (65.398) Epoch: [6][7340/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8653 (2.7978) Prec@1 42.188 (40.042) Prec@5 61.719 (65.399) Epoch: [6][7350/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8786 (2.7978) Prec@1 40.625 (40.043) Prec@5 59.375 (65.399) Epoch: [6][7360/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6040 (2.7977) Prec@1 42.969 (40.044) Prec@5 67.188 (65.400) Epoch: [6][7370/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9706 (2.7977) Prec@1 31.250 (40.045) Prec@5 61.719 (65.401) Epoch: [6][7380/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5896 (2.7976) Prec@1 42.969 (40.045) Prec@5 68.750 (65.402) Epoch: [6][7390/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9615 (2.7977) Prec@1 38.281 (40.044) Prec@5 61.719 (65.401) Epoch: [6][7400/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8520 (2.7977) Prec@1 35.156 (40.043) Prec@5 65.625 (65.402) Epoch: [6][7410/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7143 (2.7975) Prec@1 39.062 (40.045) Prec@5 67.969 (65.403) Epoch: [6][7420/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7780 (2.7975) Prec@1 35.938 (40.045) Prec@5 69.531 (65.404) Epoch: [6][7430/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6766 (2.7974) Prec@1 42.188 (40.047) Prec@5 71.875 (65.407) Epoch: [6][7440/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4239 (2.7972) Prec@1 47.656 (40.050) Prec@5 71.094 (65.410) Epoch: [6][7450/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7321 (2.7972) Prec@1 42.188 (40.052) Prec@5 67.969 (65.410) Epoch: [6][7460/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.1366 (2.7971) Prec@1 40.625 (40.057) Prec@5 60.156 (65.411) Epoch: [6][7470/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.0572 (2.7970) Prec@1 38.281 (40.059) Prec@5 62.500 (65.413) Epoch: [6][7480/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9412 (2.7971) Prec@1 39.844 (40.060) Prec@5 59.375 (65.411) Epoch: [6][7490/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9897 (2.7971) Prec@1 36.719 (40.062) Prec@5 59.375 (65.411) Epoch: [6][7500/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7628 (2.7970) Prec@1 42.188 (40.062) Prec@5 65.625 (65.412) Epoch: [6][7510/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8806 (2.7968) Prec@1 35.938 (40.064) Prec@5 69.531 (65.416) Epoch: [6][7520/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8746 (2.7969) Prec@1 38.281 (40.062) Prec@5 63.281 (65.415) Epoch: [6][7530/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7481 (2.7968) Prec@1 39.062 (40.063) Prec@5 64.844 (65.414) Epoch: [6][7540/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.2479 (2.7969) Prec@1 37.500 (40.063) Prec@5 60.156 (65.412) Epoch: [6][7550/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7807 (2.7970) Prec@1 40.625 (40.061) Prec@5 67.969 (65.411) Epoch: [6][7560/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5524 (2.7969) Prec@1 42.969 (40.061) Prec@5 67.188 (65.410) Epoch: [6][7570/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.1172 (2.7968) Prec@1 33.594 (40.063) Prec@5 54.688 (65.413) Epoch: [6][7580/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4406 (2.7968) Prec@1 42.188 (40.064) Prec@5 68.750 (65.413) Epoch: [6][7590/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9345 (2.7968) Prec@1 40.625 (40.065) Prec@5 58.594 (65.411) Epoch: [6][7600/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9142 (2.7969) Prec@1 35.938 (40.063) Prec@5 63.281 (65.410) Epoch: [6][7610/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6713 (2.7970) Prec@1 39.844 (40.062) Prec@5 67.188 (65.408) Epoch: [6][7620/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4844 (2.7968) Prec@1 41.406 (40.061) Prec@5 72.656 (65.411) Epoch: [6][7630/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7251 (2.7968) Prec@1 43.750 (40.062) Prec@5 67.188 (65.411) Epoch: [6][7640/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8452 (2.7967) Prec@1 45.312 (40.061) Prec@5 64.844 (65.412) Epoch: [6][7650/10010] Time 0.325 (0.332) Data 0.002 (0.001) Loss 2.8797 (2.7968) Prec@1 39.062 (40.060) Prec@5 66.406 (65.412) Epoch: [6][7660/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6591 (2.7966) Prec@1 37.500 (40.061) Prec@5 65.625 (65.414) Epoch: [6][7670/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9243 (2.7966) Prec@1 35.156 (40.063) Prec@5 62.500 (65.415) Epoch: [6][7680/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.3559 (2.7965) Prec@1 49.219 (40.065) Prec@5 72.656 (65.416) Epoch: [6][7690/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9328 (2.7966) Prec@1 36.719 (40.066) Prec@5 67.188 (65.414) Epoch: [6][7700/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8389 (2.7966) Prec@1 38.281 (40.066) Prec@5 69.531 (65.416) Epoch: [6][7710/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4475 (2.7966) Prec@1 48.438 (40.065) Prec@5 71.094 (65.416) Epoch: [6][7720/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8416 (2.7967) Prec@1 39.844 (40.063) Prec@5 60.938 (65.415) Epoch: [6][7730/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9760 (2.7966) Prec@1 32.812 (40.062) Prec@5 60.156 (65.416) Epoch: [6][7740/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0692 (2.7968) Prec@1 35.156 (40.061) Prec@5 57.812 (65.414) Epoch: [6][7750/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8393 (2.7967) Prec@1 32.031 (40.061) Prec@5 65.625 (65.414) Epoch: [6][7760/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9778 (2.7968) Prec@1 39.062 (40.059) Prec@5 64.062 (65.413) Epoch: [6][7770/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6234 (2.7968) Prec@1 41.406 (40.058) Prec@5 69.531 (65.413) Epoch: [6][7780/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1190 (2.7970) Prec@1 28.125 (40.056) Prec@5 56.250 (65.411) Epoch: [6][7790/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6697 (2.7970) Prec@1 37.500 (40.056) Prec@5 69.531 (65.412) Epoch: [6][7800/10010] Time 0.346 (0.332) Data 0.002 (0.001) Loss 2.7441 (2.7971) Prec@1 41.406 (40.054) Prec@5 64.062 (65.412) Epoch: [6][7810/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7180 (2.7971) Prec@1 40.625 (40.053) Prec@5 64.844 (65.409) Epoch: [6][7820/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8878 (2.7972) Prec@1 35.938 (40.053) Prec@5 64.062 (65.408) Epoch: [6][7830/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7785 (2.7973) Prec@1 40.625 (40.051) Prec@5 66.406 (65.406) Epoch: [6][7840/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9627 (2.7974) Prec@1 37.500 (40.050) Prec@5 57.031 (65.403) Epoch: [6][7850/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9247 (2.7974) Prec@1 35.938 (40.049) Prec@5 57.031 (65.400) Epoch: [6][7860/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6074 (2.7973) Prec@1 46.875 (40.049) Prec@5 69.531 (65.403) Epoch: [6][7870/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8752 (2.7975) Prec@1 35.938 (40.045) Prec@5 64.844 (65.399) Epoch: [6][7880/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7505 (2.7975) Prec@1 42.188 (40.046) Prec@5 64.844 (65.399) Epoch: [6][7890/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9001 (2.7975) Prec@1 38.281 (40.045) Prec@5 57.812 (65.396) Epoch: [6][7900/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6425 (2.7975) Prec@1 39.062 (40.046) Prec@5 67.188 (65.396) Epoch: [6][7910/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5621 (2.7973) Prec@1 45.312 (40.048) Prec@5 68.750 (65.398) Epoch: [6][7920/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5426 (2.7972) Prec@1 42.969 (40.048) Prec@5 70.312 (65.400) Epoch: [6][7930/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6210 (2.7971) Prec@1 44.531 (40.052) Prec@5 69.531 (65.402) Epoch: [6][7940/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9352 (2.7971) Prec@1 37.500 (40.052) Prec@5 62.500 (65.400) Epoch: [6][7950/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6045 (2.7970) Prec@1 40.625 (40.053) Prec@5 66.406 (65.401) Epoch: [6][7960/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7276 (2.7970) Prec@1 42.969 (40.051) Prec@5 64.844 (65.401) Epoch: [6][7970/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7587 (2.7968) Prec@1 46.094 (40.057) Prec@5 60.938 (65.402) Epoch: [6][7980/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7414 (2.7968) Prec@1 39.062 (40.056) Prec@5 60.938 (65.401) Epoch: [6][7990/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.0399 (2.7968) Prec@1 39.844 (40.055) Prec@5 62.500 (65.403) Epoch: [6][8000/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9527 (2.7966) Prec@1 42.969 (40.059) Prec@5 63.281 (65.406) Epoch: [6][8010/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5969 (2.7967) Prec@1 39.844 (40.056) Prec@5 67.188 (65.404) Epoch: [6][8020/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9485 (2.7966) Prec@1 38.281 (40.057) Prec@5 65.625 (65.405) Epoch: [6][8030/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7919 (2.7966) Prec@1 42.188 (40.059) Prec@5 62.500 (65.405) Epoch: [6][8040/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5337 (2.7966) Prec@1 49.219 (40.059) Prec@5 68.750 (65.403) Epoch: [6][8050/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7563 (2.7965) Prec@1 35.938 (40.061) Prec@5 68.750 (65.404) Epoch: [6][8060/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7784 (2.7965) Prec@1 34.375 (40.059) Prec@5 65.625 (65.405) Epoch: [6][8070/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7837 (2.7965) Prec@1 42.188 (40.060) Prec@5 62.500 (65.404) Epoch: [6][8080/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9558 (2.7964) Prec@1 38.281 (40.060) Prec@5 60.938 (65.406) Epoch: [6][8090/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.0713 (2.7966) Prec@1 39.844 (40.059) Prec@5 57.812 (65.404) Epoch: [6][8100/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 3.1218 (2.7967) Prec@1 39.844 (40.058) Prec@5 60.938 (65.403) Epoch: [6][8110/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9262 (2.7967) Prec@1 38.281 (40.059) Prec@5 64.062 (65.404) Epoch: [6][8120/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8065 (2.7966) Prec@1 42.188 (40.062) Prec@5 67.188 (65.404) Epoch: [6][8130/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5462 (2.7966) Prec@1 41.406 (40.062) Prec@5 68.750 (65.404) Epoch: [6][8140/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8423 (2.7964) Prec@1 39.062 (40.065) Prec@5 66.406 (65.407) Epoch: [6][8150/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5149 (2.7963) Prec@1 46.094 (40.067) Prec@5 69.531 (65.409) Epoch: [6][8160/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8618 (2.7962) Prec@1 38.281 (40.070) Prec@5 64.062 (65.411) Epoch: [6][8170/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.1810 (2.7963) Prec@1 34.375 (40.068) Prec@5 57.812 (65.409) Epoch: [6][8180/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.9214 (2.7965) Prec@1 42.188 (40.065) Prec@5 61.719 (65.406) Epoch: [6][8190/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.1927 (2.7966) Prec@1 32.031 (40.063) Prec@5 56.250 (65.404) Epoch: [6][8200/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8848 (2.7966) Prec@1 35.938 (40.062) Prec@5 65.625 (65.401) Epoch: [6][8210/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6476 (2.7966) Prec@1 41.406 (40.062) Prec@5 66.406 (65.401) Epoch: [6][8220/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9445 (2.7966) Prec@1 35.156 (40.063) Prec@5 64.062 (65.402) Epoch: [6][8230/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8543 (2.7967) Prec@1 42.969 (40.064) Prec@5 66.406 (65.401) Epoch: [6][8240/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.5668 (2.7966) Prec@1 41.406 (40.062) Prec@5 71.094 (65.402) Epoch: [6][8250/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6417 (2.7967) Prec@1 41.406 (40.060) Prec@5 67.188 (65.401) Epoch: [6][8260/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9918 (2.7967) Prec@1 41.406 (40.060) Prec@5 60.938 (65.403) Epoch: [6][8270/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.4109 (2.7967) Prec@1 39.844 (40.062) Prec@5 67.969 (65.405) Epoch: [6][8280/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6167 (2.7966) Prec@1 38.281 (40.061) Prec@5 67.188 (65.406) Epoch: [6][8290/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.0532 (2.7966) Prec@1 33.594 (40.061) Prec@5 57.812 (65.406) Epoch: [6][8300/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7089 (2.7966) Prec@1 43.750 (40.065) Prec@5 64.062 (65.406) Epoch: [6][8310/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.0224 (2.7967) Prec@1 35.938 (40.063) Prec@5 64.844 (65.405) Epoch: [6][8320/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7286 (2.7967) Prec@1 42.969 (40.061) Prec@5 64.062 (65.405) Epoch: [6][8330/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9771 (2.7968) Prec@1 30.469 (40.060) Prec@5 61.719 (65.406) Epoch: [6][8340/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 3.4590 (2.7969) Prec@1 35.938 (40.059) Prec@5 53.906 (65.404) Epoch: [6][8350/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8240 (2.7969) Prec@1 40.625 (40.061) Prec@5 60.156 (65.404) Epoch: [6][8360/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7273 (2.7968) Prec@1 39.844 (40.061) Prec@5 65.625 (65.405) Epoch: [6][8370/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7303 (2.7967) Prec@1 46.094 (40.064) Prec@5 61.719 (65.408) Epoch: [6][8380/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6946 (2.7967) Prec@1 44.531 (40.066) Prec@5 67.969 (65.409) Epoch: [6][8390/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.2386 (2.7967) Prec@1 32.812 (40.065) Prec@5 62.500 (65.409) Epoch: [6][8400/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6535 (2.7967) Prec@1 40.625 (40.068) Prec@5 67.969 (65.409) Epoch: [6][8410/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8418 (2.7966) Prec@1 43.750 (40.068) Prec@5 64.062 (65.412) Epoch: [6][8420/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.9294 (2.7967) Prec@1 41.406 (40.068) Prec@5 62.500 (65.410) Epoch: [6][8430/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7921 (2.7967) Prec@1 38.281 (40.066) Prec@5 64.844 (65.409) Epoch: [6][8440/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.9302 (2.7968) Prec@1 42.188 (40.064) Prec@5 66.406 (65.410) Epoch: [6][8450/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8239 (2.7967) Prec@1 34.375 (40.064) Prec@5 63.281 (65.409) Epoch: [6][8460/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8494 (2.7967) Prec@1 40.625 (40.063) Prec@5 59.375 (65.408) Epoch: [6][8470/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9406 (2.7968) Prec@1 39.844 (40.063) Prec@5 64.844 (65.409) Epoch: [6][8480/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.7426 (2.7967) Prec@1 46.875 (40.068) Prec@5 64.844 (65.409) Epoch: [6][8490/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9488 (2.7967) Prec@1 39.062 (40.066) Prec@5 64.844 (65.410) Epoch: [6][8500/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8182 (2.7966) Prec@1 38.281 (40.067) Prec@5 66.406 (65.410) Epoch: [6][8510/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9494 (2.7965) Prec@1 37.500 (40.067) Prec@5 64.062 (65.413) Epoch: [6][8520/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9840 (2.7965) Prec@1 40.625 (40.068) Prec@5 63.281 (65.413) Epoch: [6][8530/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8554 (2.7965) Prec@1 32.812 (40.067) Prec@5 65.625 (65.412) Epoch: [6][8540/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8863 (2.7966) Prec@1 35.156 (40.068) Prec@5 64.062 (65.411) Epoch: [6][8550/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9161 (2.7966) Prec@1 42.188 (40.069) Prec@5 64.062 (65.410) Epoch: [6][8560/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6546 (2.7965) Prec@1 41.406 (40.071) Prec@5 67.188 (65.412) Epoch: [6][8570/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6297 (2.7966) Prec@1 42.969 (40.070) Prec@5 67.969 (65.411) Epoch: [6][8580/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6361 (2.7966) Prec@1 39.844 (40.070) Prec@5 68.750 (65.411) Epoch: [6][8590/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0246 (2.7965) Prec@1 32.812 (40.070) Prec@5 56.250 (65.413) Epoch: [6][8600/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8639 (2.7966) Prec@1 33.594 (40.070) Prec@5 66.406 (65.412) Epoch: [6][8610/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.7896 (2.7965) Prec@1 39.062 (40.071) Prec@5 66.406 (65.412) Epoch: [6][8620/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8681 (2.7966) Prec@1 42.969 (40.070) Prec@5 67.188 (65.411) Epoch: [6][8630/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8004 (2.7965) Prec@1 41.406 (40.070) Prec@5 61.719 (65.412) Epoch: [6][8640/10010] Time 0.319 (0.332) Data 0.003 (0.001) Loss 2.5723 (2.7965) Prec@1 41.406 (40.071) Prec@5 69.531 (65.414) Epoch: [6][8650/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6878 (2.7966) Prec@1 45.312 (40.072) Prec@5 70.312 (65.413) Epoch: [6][8660/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6876 (2.7965) Prec@1 39.062 (40.073) Prec@5 67.188 (65.414) Epoch: [6][8670/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.2400 (2.7965) Prec@1 32.812 (40.073) Prec@5 57.031 (65.413) Epoch: [6][8680/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4877 (2.7964) Prec@1 38.281 (40.076) Prec@5 69.531 (65.414) Epoch: [6][8690/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6930 (2.7963) Prec@1 39.844 (40.078) Prec@5 64.062 (65.415) Epoch: [6][8700/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9178 (2.7963) Prec@1 38.281 (40.078) Prec@5 69.531 (65.415) Epoch: [6][8710/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9590 (2.7963) Prec@1 41.406 (40.079) Prec@5 64.062 (65.413) Epoch: [6][8720/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.7067 (2.7963) Prec@1 42.188 (40.080) Prec@5 66.406 (65.415) Epoch: [6][8730/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8214 (2.7962) Prec@1 37.500 (40.082) Prec@5 64.062 (65.416) Epoch: [6][8740/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.4950 (2.7961) Prec@1 40.625 (40.083) Prec@5 71.875 (65.417) Epoch: [6][8750/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4950 (2.7960) Prec@1 39.844 (40.084) Prec@5 68.750 (65.419) Epoch: [6][8760/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4881 (2.7959) Prec@1 50.000 (40.085) Prec@5 73.438 (65.422) Epoch: [6][8770/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9473 (2.7959) Prec@1 35.938 (40.084) Prec@5 60.938 (65.422) Epoch: [6][8780/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6921 (2.7958) Prec@1 41.406 (40.086) Prec@5 66.406 (65.423) Epoch: [6][8790/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9269 (2.7958) Prec@1 35.156 (40.085) Prec@5 67.188 (65.423) Epoch: [6][8800/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9635 (2.7959) Prec@1 34.375 (40.082) Prec@5 65.625 (65.422) Epoch: [6][8810/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5940 (2.7960) Prec@1 42.969 (40.082) Prec@5 71.094 (65.421) Epoch: [6][8820/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0470 (2.7960) Prec@1 36.719 (40.081) Prec@5 60.938 (65.420) Epoch: [6][8830/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4438 (2.7961) Prec@1 46.875 (40.081) Prec@5 71.094 (65.420) Epoch: [6][8840/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5899 (2.7961) Prec@1 39.062 (40.081) Prec@5 67.188 (65.419) Epoch: [6][8850/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9119 (2.7961) Prec@1 39.062 (40.081) Prec@5 60.938 (65.419) Epoch: [6][8860/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.2050 (2.7961) Prec@1 32.812 (40.082) Prec@5 60.938 (65.421) Epoch: [6][8870/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6776 (2.7961) Prec@1 46.875 (40.080) Prec@5 68.750 (65.422) Epoch: [6][8880/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.6038 (2.7960) Prec@1 44.531 (40.080) Prec@5 67.969 (65.422) Epoch: [6][8890/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.9956 (2.7960) Prec@1 41.406 (40.081) Prec@5 63.281 (65.423) Epoch: [6][8900/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7889 (2.7960) Prec@1 35.938 (40.080) Prec@5 66.406 (65.423) Epoch: [6][8910/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8095 (2.7960) Prec@1 42.188 (40.081) Prec@5 64.844 (65.424) Epoch: [6][8920/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4949 (2.7959) Prec@1 44.531 (40.084) Prec@5 67.969 (65.426) Epoch: [6][8930/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9638 (2.7960) Prec@1 32.812 (40.082) Prec@5 64.844 (65.425) Epoch: [6][8940/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.9203 (2.7961) Prec@1 37.500 (40.080) Prec@5 67.188 (65.424) Epoch: [6][8950/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7693 (2.7960) Prec@1 39.844 (40.083) Prec@5 68.750 (65.426) Epoch: [6][8960/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7273 (2.7960) Prec@1 46.094 (40.083) Prec@5 66.406 (65.426) Epoch: [6][8970/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7395 (2.7960) Prec@1 42.969 (40.083) Prec@5 67.188 (65.426) Epoch: [6][8980/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0258 (2.7960) Prec@1 32.031 (40.082) Prec@5 60.938 (65.426) Epoch: [6][8990/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7379 (2.7960) Prec@1 42.969 (40.080) Prec@5 68.750 (65.426) Epoch: [6][9000/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9798 (2.7961) Prec@1 36.719 (40.080) Prec@5 60.156 (65.424) Epoch: [6][9010/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9776 (2.7961) Prec@1 35.156 (40.080) Prec@5 66.406 (65.425) Epoch: [6][9020/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9997 (2.7961) Prec@1 38.281 (40.080) Prec@5 58.594 (65.426) Epoch: [6][9030/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7363 (2.7961) Prec@1 36.719 (40.079) Prec@5 64.062 (65.425) Epoch: [6][9040/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.9106 (2.7961) Prec@1 39.062 (40.079) Prec@5 62.500 (65.425) Epoch: [6][9050/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6683 (2.7960) Prec@1 44.531 (40.079) Prec@5 68.750 (65.426) Epoch: [6][9060/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.6307 (2.7960) Prec@1 41.406 (40.080) Prec@5 72.656 (65.429) Epoch: [6][9070/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.9371 (2.7958) Prec@1 40.625 (40.083) Prec@5 62.500 (65.431) Epoch: [6][9080/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 3.0384 (2.7958) Prec@1 35.156 (40.083) Prec@5 61.719 (65.432) Epoch: [6][9090/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.8086 (2.7957) Prec@1 39.062 (40.085) Prec@5 64.844 (65.434) Epoch: [6][9100/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.7575 (2.7957) Prec@1 41.406 (40.085) Prec@5 65.625 (65.434) Epoch: [6][9110/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.6253 (2.7958) Prec@1 42.969 (40.085) Prec@5 67.969 (65.434) Epoch: [6][9120/10010] Time 0.353 (0.333) Data 0.001 (0.001) Loss 3.0412 (2.7959) Prec@1 37.500 (40.082) Prec@5 59.375 (65.431) Epoch: [6][9130/10010] Time 0.328 (0.333) Data 0.002 (0.001) Loss 2.7724 (2.7958) Prec@1 42.188 (40.084) Prec@5 68.750 (65.432) Epoch: [6][9140/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 3.1670 (2.7958) Prec@1 36.719 (40.083) Prec@5 61.719 (65.432) Epoch: [6][9150/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.7723 (2.7958) Prec@1 42.969 (40.086) Prec@5 64.844 (65.433) Epoch: [6][9160/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.9790 (2.7958) Prec@1 43.750 (40.086) Prec@5 63.281 (65.430) Epoch: [6][9170/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 3.1360 (2.7958) Prec@1 36.719 (40.087) Prec@5 60.156 (65.430) Epoch: [6][9180/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.5715 (2.7959) Prec@1 46.875 (40.088) Prec@5 69.531 (65.428) Epoch: [6][9190/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.6493 (2.7958) Prec@1 46.094 (40.091) Prec@5 67.969 (65.430) Epoch: [6][9200/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.7218 (2.7958) Prec@1 42.969 (40.092) Prec@5 64.062 (65.431) Epoch: [6][9210/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.6916 (2.7958) Prec@1 38.281 (40.090) Prec@5 66.406 (65.431) Epoch: [6][9220/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.5750 (2.7958) Prec@1 51.562 (40.092) Prec@5 67.188 (65.432) Epoch: [6][9230/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7494 (2.7959) Prec@1 38.281 (40.090) Prec@5 67.188 (65.430) Epoch: [6][9240/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 3.1377 (2.7959) Prec@1 34.375 (40.090) Prec@5 53.125 (65.429) Epoch: [6][9250/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7430 (2.7958) Prec@1 47.656 (40.091) Prec@5 70.312 (65.431) Epoch: [6][9260/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.8722 (2.7958) Prec@1 39.062 (40.091) Prec@5 65.625 (65.430) Epoch: [6][9270/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 3.2017 (2.7957) Prec@1 32.031 (40.090) Prec@5 56.250 (65.432) Epoch: [6][9280/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.9258 (2.7957) Prec@1 39.844 (40.091) Prec@5 63.281 (65.432) Epoch: [6][9290/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9613 (2.7957) Prec@1 37.500 (40.091) Prec@5 65.625 (65.433) Epoch: [6][9300/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.8416 (2.7957) Prec@1 35.938 (40.090) Prec@5 60.156 (65.433) Epoch: [6][9310/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8956 (2.7957) Prec@1 39.844 (40.089) Prec@5 64.062 (65.433) Epoch: [6][9320/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9053 (2.7957) Prec@1 35.938 (40.088) Prec@5 67.188 (65.432) Epoch: [6][9330/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9195 (2.7956) Prec@1 38.281 (40.090) Prec@5 59.375 (65.433) Epoch: [6][9340/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.0455 (2.7956) Prec@1 41.406 (40.090) Prec@5 60.938 (65.433) Epoch: [6][9350/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6597 (2.7956) Prec@1 41.406 (40.089) Prec@5 63.281 (65.431) Epoch: [6][9360/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7577 (2.7956) Prec@1 42.188 (40.089) Prec@5 67.969 (65.430) Epoch: [6][9370/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8944 (2.7956) Prec@1 35.156 (40.089) Prec@5 62.500 (65.429) Epoch: [6][9380/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9978 (2.7957) Prec@1 40.625 (40.088) Prec@5 58.594 (65.430) Epoch: [6][9390/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.1375 (2.7957) Prec@1 40.625 (40.088) Prec@5 60.938 (65.429) Epoch: [6][9400/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.2328 (2.7958) Prec@1 30.469 (40.085) Prec@5 58.594 (65.426) Epoch: [6][9410/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8121 (2.7958) Prec@1 45.312 (40.086) Prec@5 70.312 (65.426) Epoch: [6][9420/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4902 (2.7958) Prec@1 47.656 (40.086) Prec@5 72.656 (65.426) Epoch: [6][9430/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.4325 (2.7958) Prec@1 45.312 (40.087) Prec@5 75.000 (65.426) Epoch: [6][9440/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9189 (2.7957) Prec@1 38.281 (40.088) Prec@5 62.500 (65.424) Epoch: [6][9450/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.7697 (2.7958) Prec@1 39.062 (40.089) Prec@5 67.188 (65.424) Epoch: [6][9460/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8916 (2.7959) Prec@1 38.281 (40.088) Prec@5 71.094 (65.424) Epoch: [6][9470/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9750 (2.7958) Prec@1 41.406 (40.089) Prec@5 63.281 (65.426) Epoch: [6][9480/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6688 (2.7959) Prec@1 38.281 (40.088) Prec@5 70.312 (65.424) Epoch: [6][9490/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.5134 (2.7958) Prec@1 42.969 (40.088) Prec@5 71.875 (65.426) Epoch: [6][9500/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8588 (2.7957) Prec@1 36.719 (40.091) Prec@5 66.406 (65.428) Epoch: [6][9510/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9052 (2.7957) Prec@1 38.281 (40.092) Prec@5 64.844 (65.428) Epoch: [6][9520/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6638 (2.7957) Prec@1 46.875 (40.091) Prec@5 67.188 (65.428) Epoch: [6][9530/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5671 (2.7957) Prec@1 47.656 (40.092) Prec@5 67.188 (65.427) Epoch: [6][9540/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8193 (2.7957) Prec@1 36.719 (40.091) Prec@5 64.844 (65.426) Epoch: [6][9550/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.6663 (2.7956) Prec@1 42.188 (40.092) Prec@5 68.750 (65.429) Epoch: [6][9560/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4850 (2.7955) Prec@1 46.094 (40.094) Prec@5 75.781 (65.431) Epoch: [6][9570/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.6322 (2.7955) Prec@1 40.625 (40.094) Prec@5 66.406 (65.430) Epoch: [6][9580/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 3.0557 (2.7955) Prec@1 35.156 (40.095) Prec@5 61.719 (65.429) Epoch: [6][9590/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 3.1664 (2.7956) Prec@1 33.594 (40.094) Prec@5 60.938 (65.429) Epoch: [6][9600/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8497 (2.7957) Prec@1 42.969 (40.092) Prec@5 64.062 (65.426) Epoch: [6][9610/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7658 (2.7958) Prec@1 38.281 (40.090) Prec@5 65.625 (65.424) Epoch: [6][9620/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9173 (2.7958) Prec@1 36.719 (40.091) Prec@5 68.750 (65.425) Epoch: [6][9630/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9305 (2.7957) Prec@1 35.938 (40.091) Prec@5 63.281 (65.425) Epoch: [6][9640/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.4349 (2.7957) Prec@1 46.094 (40.091) Prec@5 69.531 (65.426) Epoch: [6][9650/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9856 (2.7956) Prec@1 33.594 (40.090) Prec@5 66.406 (65.426) Epoch: [6][9660/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.7320 (2.7956) Prec@1 39.062 (40.090) Prec@5 69.531 (65.427) Epoch: [6][9670/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.9361 (2.7956) Prec@1 36.719 (40.090) Prec@5 61.719 (65.427) Epoch: [6][9680/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7788 (2.7957) Prec@1 39.844 (40.089) Prec@5 65.625 (65.426) Epoch: [6][9690/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6679 (2.7959) Prec@1 42.188 (40.086) Prec@5 67.969 (65.421) Epoch: [6][9700/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.6696 (2.7957) Prec@1 39.062 (40.088) Prec@5 64.844 (65.423) Epoch: [6][9710/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.2868 (2.7956) Prec@1 50.781 (40.091) Prec@5 71.875 (65.425) Epoch: [6][9720/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5531 (2.7956) Prec@1 47.656 (40.090) Prec@5 70.312 (65.425) Epoch: [6][9730/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.1418 (2.7958) Prec@1 41.406 (40.089) Prec@5 60.938 (65.423) Epoch: [6][9740/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6371 (2.7958) Prec@1 42.969 (40.088) Prec@5 69.531 (65.424) Epoch: [6][9750/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.7047 (2.7958) Prec@1 34.375 (40.087) Prec@5 64.844 (65.423) Epoch: [6][9760/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8943 (2.7958) Prec@1 34.375 (40.086) Prec@5 65.625 (65.426) Epoch: [6][9770/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6450 (2.7956) Prec@1 39.062 (40.087) Prec@5 70.312 (65.430) Epoch: [6][9780/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5811 (2.7957) Prec@1 42.969 (40.087) Prec@5 70.312 (65.428) Epoch: [6][9790/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.8467 (2.7957) Prec@1 36.719 (40.086) Prec@5 63.281 (65.428) Epoch: [6][9800/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4337 (2.7957) Prec@1 46.094 (40.086) Prec@5 71.094 (65.427) Epoch: [6][9810/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.1622 (2.7957) Prec@1 28.906 (40.086) Prec@5 62.500 (65.427) Epoch: [6][9820/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.1968 (2.7957) Prec@1 30.469 (40.085) Prec@5 58.594 (65.428) Epoch: [6][9830/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4348 (2.7957) Prec@1 46.875 (40.087) Prec@5 71.094 (65.426) Epoch: [6][9840/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6590 (2.7957) Prec@1 45.312 (40.088) Prec@5 67.188 (65.426) Epoch: [6][9850/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9714 (2.7958) Prec@1 42.188 (40.088) Prec@5 61.719 (65.424) Epoch: [6][9860/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8463 (2.7958) Prec@1 43.750 (40.088) Prec@5 65.625 (65.423) Epoch: [6][9870/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4722 (2.7957) Prec@1 41.406 (40.089) Prec@5 71.094 (65.425) Epoch: [6][9880/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.1021 (2.7957) Prec@1 34.375 (40.087) Prec@5 59.375 (65.425) Epoch: [6][9890/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8956 (2.7958) Prec@1 42.969 (40.086) Prec@5 71.875 (65.425) Epoch: [6][9900/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6971 (2.7958) Prec@1 42.969 (40.086) Prec@5 68.750 (65.425) Epoch: [6][9910/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9136 (2.7957) Prec@1 41.406 (40.088) Prec@5 60.938 (65.426) Epoch: [6][9920/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4575 (2.7956) Prec@1 46.875 (40.090) Prec@5 71.875 (65.428) Epoch: [6][9930/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8820 (2.7957) Prec@1 32.031 (40.090) Prec@5 63.281 (65.427) Epoch: [6][9940/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9830 (2.7958) Prec@1 34.375 (40.088) Prec@5 64.844 (65.427) Epoch: [6][9950/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8117 (2.7958) Prec@1 43.750 (40.087) Prec@5 68.750 (65.427) Epoch: [6][9960/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8508 (2.7958) Prec@1 38.281 (40.088) Prec@5 63.281 (65.427) Epoch: [6][9970/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7751 (2.7957) Prec@1 39.844 (40.087) Prec@5 67.969 (65.429) Epoch: [6][9980/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7800 (2.7958) Prec@1 41.406 (40.086) Prec@5 61.719 (65.428) Epoch: [6][9990/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4604 (2.7957) Prec@1 45.312 (40.088) Prec@5 71.875 (65.429) Epoch: [6][10000/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7185 (2.7957) Prec@1 39.844 (40.088) Prec@5 64.844 (65.429) Test: [0/391] Time 1.322 (1.322) Loss 2.1846 (2.1846) Prec@1 50.000 (50.000) Prec@5 76.562 (76.562) Test: [10/391] Time 0.109 (0.236) Loss 2.9313 (2.1035) Prec@1 41.406 (51.776) Prec@5 60.156 (78.054) Test: [20/391] Time 0.106 (0.176) Loss 2.6009 (2.5572) Prec@1 43.750 (43.155) Prec@5 63.281 (70.350) Test: [30/391] Time 0.105 (0.153) Loss 3.1961 (2.6778) Prec@1 31.250 (40.927) Prec@5 56.250 (68.322) Test: [40/391] Time 0.112 (0.142) Loss 2.8483 (2.4460) Prec@1 41.406 (45.713) Prec@5 57.812 (71.341) Test: [50/391] Time 0.111 (0.136) Loss 1.2842 (2.5060) Prec@1 68.750 (44.577) Prec@5 88.281 (70.374) Test: [60/391] Time 0.104 (0.132) Loss 3.1742 (2.3926) Prec@1 24.219 (46.785) Prec@5 57.812 (72.195) Test: [70/391] Time 0.104 (0.128) Loss 2.3157 (2.4122) Prec@1 32.812 (45.379) Prec@5 78.906 (72.018) Test: [80/391] Time 0.103 (0.126) Loss 2.5539 (2.4523) Prec@1 42.969 (44.194) Prec@5 67.188 (71.190) Test: [90/391] Time 0.115 (0.123) Loss 1.7960 (2.4535) Prec@1 46.875 (43.887) Prec@5 83.594 (71.291) Test: [100/391] Time 0.103 (0.122) Loss 1.9637 (2.4225) Prec@1 47.656 (43.812) Prec@5 81.250 (72.084) Test: [110/391] Time 0.105 (0.121) Loss 2.5627 (2.4046) Prec@1 32.812 (43.602) Prec@5 71.875 (72.459) Test: [120/391] Time 0.103 (0.120) Loss 2.2518 (2.3787) Prec@1 40.625 (44.215) Prec@5 78.906 (73.031) Test: [130/391] Time 0.110 (0.119) Loss 2.2397 (2.3486) Prec@1 51.562 (44.865) Prec@5 74.219 (73.509) Test: [140/391] Time 0.101 (0.118) Loss 2.6417 (2.3400) Prec@1 36.719 (44.969) Prec@5 70.312 (73.698) Test: [150/391] Time 0.108 (0.117) Loss 1.8256 (2.3420) Prec@1 43.750 (44.997) Prec@5 82.812 (73.608) Test: [160/391] Time 0.108 (0.117) Loss 1.2849 (2.3491) Prec@1 71.094 (44.997) Prec@5 89.062 (73.452) Test: [170/391] Time 0.108 (0.117) Loss 2.5090 (2.3783) Prec@1 47.656 (44.545) Prec@5 74.219 (72.994) Test: [180/391] Time 0.107 (0.116) Loss 3.4784 (2.4147) Prec@1 28.125 (43.957) Prec@5 54.688 (72.315) Test: [190/391] Time 0.102 (0.116) Loss 3.6975 (2.4472) Prec@1 18.750 (43.451) Prec@5 59.375 (71.756) Test: [200/391] Time 0.103 (0.116) Loss 3.8966 (2.4812) Prec@1 22.656 (42.887) Prec@5 47.656 (71.210) Test: [210/391] Time 0.108 (0.115) Loss 2.4841 (2.4975) Prec@1 42.969 (42.687) Prec@5 73.438 (70.979) Test: [220/391] Time 0.108 (0.115) Loss 2.0901 (2.5075) Prec@1 53.906 (42.594) Prec@5 78.125 (70.807) Test: [230/391] Time 0.105 (0.115) Loss 3.6525 (2.5353) Prec@1 25.781 (42.343) Prec@5 50.000 (70.329) Test: [240/391] Time 0.104 (0.114) Loss 3.0518 (2.5538) Prec@1 32.031 (42.142) Prec@5 63.281 (69.992) Test: [250/391] Time 0.112 (0.114) Loss 2.2330 (2.5789) Prec@1 56.250 (41.882) Prec@5 74.219 (69.609) Test: [260/391] Time 0.105 (0.114) Loss 3.6244 (2.5952) Prec@1 26.562 (41.520) Prec@5 48.438 (69.346) Test: [270/391] Time 0.103 (0.114) Loss 3.1464 (2.6158) Prec@1 26.562 (41.331) Prec@5 60.938 (68.955) Test: [280/391] Time 0.105 (0.113) Loss 2.4550 (2.6228) Prec@1 32.031 (41.195) Prec@5 70.312 (68.858) Test: [290/391] Time 0.111 (0.113) Loss 3.0340 (2.6321) Prec@1 27.344 (41.154) Prec@5 69.531 (68.678) Test: [300/391] Time 0.112 (0.113) Loss 2.3722 (2.6533) Prec@1 52.344 (40.851) Prec@5 75.000 (68.335) Test: [310/391] Time 0.109 (0.113) Loss 3.2214 (2.6679) Prec@1 39.844 (40.700) Prec@5 62.500 (68.099) Test: [320/391] Time 0.108 (0.113) Loss 2.3551 (2.6739) Prec@1 39.062 (40.601) Prec@5 75.781 (67.986) Test: [330/391] Time 0.110 (0.113) Loss 3.5437 (2.6995) Prec@1 24.219 (40.193) Prec@5 58.594 (67.598) Test: [340/391] Time 0.166 (0.113) Loss 2.5613 (2.7121) Prec@1 34.375 (39.908) Prec@5 70.312 (67.348) Test: [350/391] Time 0.105 (0.113) Loss 2.5825 (2.7172) Prec@1 42.188 (39.911) Prec@5 74.219 (67.243) Test: [360/391] Time 0.103 (0.113) Loss 2.4510 (2.7190) Prec@1 38.281 (39.911) Prec@5 74.219 (67.216) Test: [370/391] Time 0.108 (0.112) Loss 2.7279 (2.7056) Prec@1 44.531 (40.094) Prec@5 69.531 (67.451) Test: [380/391] Time 0.102 (0.112) Loss 1.1781 (2.7020) Prec@1 72.656 (40.125) Prec@5 92.188 (67.475) Test: [390/391] Time 0.069 (0.112) Loss 3.2637 (2.6785) Prec@1 31.250 (40.568) Prec@5 61.250 (67.856) * Prec@1 40.568 Prec@5 67.856 Epoch: [7][0/10010] Time 2.718 (2.718) Data 2.560 (2.560) Loss 2.8214 (2.8214) Prec@1 38.281 (38.281) Prec@5 69.531 (69.531) Epoch: [7][10/10010] Time 0.319 (0.541) Data 0.001 (0.233) Loss 3.0678 (2.9501) Prec@1 31.250 (37.358) Prec@5 61.719 (63.778) Epoch: [7][20/10010] Time 0.324 (0.437) Data 0.001 (0.123) Loss 2.8501 (2.9264) Prec@1 39.062 (37.835) Prec@5 60.156 (63.430) Epoch: [7][30/10010] Time 0.330 (0.400) Data 0.001 (0.083) Loss 2.6030 (2.8850) Prec@1 46.875 (38.987) Prec@5 68.750 (64.012) Epoch: [7][40/10010] Time 0.335 (0.382) Data 0.000 (0.063) Loss 3.0317 (2.8748) Prec@1 39.844 (39.043) Prec@5 64.062 (64.005) Epoch: [7][50/10010] Time 0.341 (0.373) Data 0.001 (0.051) Loss 2.4375 (2.8243) Prec@1 45.312 (39.920) Prec@5 72.656 (65.135) Epoch: [7][60/10010] Time 0.321 (0.367) Data 0.001 (0.043) Loss 3.0012 (2.7980) Prec@1 35.156 (40.266) Prec@5 64.844 (65.599) Epoch: [7][70/10010] Time 0.347 (0.362) Data 0.001 (0.037) Loss 2.4714 (2.7998) Prec@1 50.000 (40.273) Prec@5 69.531 (65.526) Epoch: [7][80/10010] Time 0.321 (0.358) Data 0.001 (0.032) Loss 2.9020 (2.7925) Prec@1 35.156 (40.307) Prec@5 59.375 (65.644) Epoch: [7][90/10010] Time 0.327 (0.355) Data 0.001 (0.029) Loss 2.8534 (2.7942) Prec@1 35.938 (40.290) Prec@5 64.062 (65.582) Epoch: [7][100/10010] Time 0.348 (0.353) Data 0.000 (0.026) Loss 2.9321 (2.7918) Prec@1 37.500 (40.200) Prec@5 65.625 (65.602) Epoch: [7][110/10010] Time 0.342 (0.352) Data 0.000 (0.024) Loss 2.6619 (2.7843) Prec@1 41.406 (40.132) Prec@5 65.625 (65.745) Epoch: [7][120/10010] Time 0.339 (0.350) Data 0.000 (0.022) Loss 2.8011 (2.7880) Prec@1 40.625 (40.128) Prec@5 67.969 (65.741) Epoch: [7][130/10010] Time 0.323 (0.349) Data 0.001 (0.020) Loss 2.4639 (2.7801) Prec@1 46.094 (40.249) Prec@5 73.438 (65.864) Epoch: [7][140/10010] Time 0.340 (0.349) Data 0.001 (0.019) Loss 2.6775 (2.7774) Prec@1 36.719 (40.209) Prec@5 67.188 (65.919) Epoch: [7][150/10010] Time 0.337 (0.348) Data 0.001 (0.018) Loss 2.8389 (2.7755) Prec@1 45.312 (40.356) Prec@5 58.594 (65.847) Epoch: [7][160/10010] Time 0.347 (0.347) Data 0.000 (0.017) Loss 2.5192 (2.7724) Prec@1 44.531 (40.382) Prec@5 71.875 (65.936) Epoch: [7][170/10010] Time 0.337 (0.346) Data 0.000 (0.016) Loss 2.8118 (2.7741) Prec@1 40.625 (40.351) Prec@5 62.500 (65.881) Epoch: [7][180/10010] Time 0.336 (0.345) Data 0.001 (0.015) Loss 3.1818 (2.7737) Prec@1 32.812 (40.310) Prec@5 55.469 (65.836) Epoch: [7][190/10010] Time 0.343 (0.345) Data 0.001 (0.014) Loss 2.5850 (2.7771) Prec@1 40.625 (40.281) Prec@5 68.750 (65.752) Epoch: [7][200/10010] Time 0.342 (0.345) Data 0.001 (0.013) Loss 3.0337 (2.7782) Prec@1 40.625 (40.349) Prec@5 60.938 (65.714) Epoch: [7][210/10010] Time 0.320 (0.344) Data 0.001 (0.013) Loss 2.6138 (2.7756) Prec@1 49.219 (40.462) Prec@5 66.406 (65.743) Epoch: [7][220/10010] Time 0.341 (0.344) Data 0.000 (0.012) Loss 3.0355 (2.7747) Prec@1 41.406 (40.455) Prec@5 66.406 (65.784) Epoch: [7][230/10010] Time 0.341 (0.343) Data 0.001 (0.012) Loss 2.5626 (2.7649) Prec@1 46.094 (40.615) Prec@5 73.438 (65.970) Epoch: [7][240/10010] Time 0.342 (0.343) Data 0.001 (0.011) Loss 2.8619 (2.7634) Prec@1 39.062 (40.638) Prec@5 65.625 (66.014) Epoch: [7][250/10010] Time 0.327 (0.343) Data 0.001 (0.011) Loss 2.7277 (2.7616) Prec@1 40.625 (40.721) Prec@5 70.312 (66.023) Epoch: [7][260/10010] Time 0.320 (0.343) Data 0.001 (0.010) Loss 2.8790 (2.7649) Prec@1 43.750 (40.691) Prec@5 65.625 (65.951) Epoch: [7][270/10010] Time 0.342 (0.342) Data 0.001 (0.010) Loss 2.9543 (2.7632) Prec@1 42.969 (40.778) Prec@5 65.625 (66.017) Epoch: [7][280/10010] Time 0.318 (0.342) Data 0.001 (0.010) Loss 2.7847 (2.7673) Prec@1 35.156 (40.728) Prec@5 66.406 (65.950) Epoch: [7][290/10010] Time 0.325 (0.341) Data 0.000 (0.009) Loss 2.6133 (2.7687) Prec@1 42.188 (40.703) Prec@5 62.500 (65.912) Epoch: [7][300/10010] Time 0.324 (0.341) Data 0.000 (0.009) Loss 2.6641 (2.7700) Prec@1 43.750 (40.648) Prec@5 67.969 (65.827) Epoch: [7][310/10010] Time 0.344 (0.341) Data 0.000 (0.009) Loss 2.8745 (2.7699) Prec@1 42.969 (40.665) Prec@5 66.406 (65.828) Epoch: [7][320/10010] Time 0.334 (0.341) Data 0.001 (0.009) Loss 2.3422 (2.7667) Prec@1 46.875 (40.720) Prec@5 71.094 (65.919) Epoch: [7][330/10010] Time 0.338 (0.340) Data 0.000 (0.008) Loss 2.9036 (2.7697) Prec@1 35.938 (40.646) Prec@5 60.156 (65.863) Epoch: [7][340/10010] Time 0.342 (0.340) Data 0.001 (0.008) Loss 2.6523 (2.7693) Prec@1 39.844 (40.593) Prec@5 68.750 (65.863) Epoch: [7][350/10010] Time 0.351 (0.340) Data 0.000 (0.008) Loss 2.6803 (2.7706) Prec@1 46.094 (40.583) Prec@5 66.406 (65.839) Epoch: [7][360/10010] Time 0.340 (0.340) Data 0.001 (0.008) Loss 2.8265 (2.7684) Prec@1 37.500 (40.642) Prec@5 65.625 (65.885) Epoch: [7][370/10010] Time 0.345 (0.340) Data 0.000 (0.008) Loss 2.6003 (2.7677) Prec@1 43.750 (40.633) Prec@5 72.656 (65.905) Epoch: [7][380/10010] Time 0.324 (0.340) Data 0.000 (0.007) Loss 2.3467 (2.7644) Prec@1 47.656 (40.721) Prec@5 73.438 (65.974) Epoch: [7][390/10010] Time 0.333 (0.340) Data 0.001 (0.007) Loss 2.9658 (2.7658) Prec@1 40.625 (40.711) Prec@5 63.281 (65.933) Epoch: [7][400/10010] Time 0.325 (0.339) Data 0.001 (0.007) Loss 3.0049 (2.7662) Prec@1 35.156 (40.697) Prec@5 57.031 (65.915) Epoch: [7][410/10010] Time 0.331 (0.339) Data 0.001 (0.007) Loss 2.6083 (2.7658) Prec@1 39.844 (40.665) Prec@5 70.312 (65.914) Epoch: [7][420/10010] Time 0.343 (0.339) Data 0.000 (0.007) Loss 2.6549 (2.7626) Prec@1 40.625 (40.686) Prec@5 67.969 (65.950) Epoch: [7][430/10010] Time 0.337 (0.339) Data 0.000 (0.007) Loss 2.8127 (2.7618) Prec@1 37.500 (40.687) Prec@5 64.062 (65.973) Epoch: [7][440/10010] Time 0.320 (0.339) Data 0.000 (0.006) Loss 2.6751 (2.7618) Prec@1 39.062 (40.664) Prec@5 63.281 (65.947) Epoch: [7][450/10010] Time 0.344 (0.339) Data 0.000 (0.006) Loss 2.8533 (2.7637) Prec@1 41.406 (40.615) Prec@5 63.281 (65.918) Epoch: [7][460/10010] Time 0.324 (0.339) Data 0.000 (0.006) Loss 2.7983 (2.7642) Prec@1 40.625 (40.588) Prec@5 65.625 (65.888) Epoch: [7][470/10010] Time 0.338 (0.339) Data 0.000 (0.006) Loss 2.5634 (2.7653) Prec@1 46.094 (40.605) Prec@5 69.531 (65.866) Epoch: [7][480/10010] Time 0.329 (0.339) Data 0.001 (0.006) Loss 2.6712 (2.7624) Prec@1 43.750 (40.692) Prec@5 67.969 (65.932) Epoch: [7][490/10010] Time 0.322 (0.338) Data 0.000 (0.006) Loss 2.6282 (2.7625) Prec@1 46.094 (40.690) Prec@5 67.188 (65.927) Epoch: [7][500/10010] Time 0.322 (0.338) Data 0.000 (0.006) Loss 2.7075 (2.7620) Prec@1 39.062 (40.684) Prec@5 63.281 (65.918) Epoch: [7][510/10010] Time 0.329 (0.338) Data 0.001 (0.006) Loss 2.8877 (2.7620) Prec@1 42.969 (40.695) Prec@5 68.750 (65.938) Epoch: [7][520/10010] Time 0.321 (0.338) Data 0.001 (0.006) Loss 2.7834 (2.7638) Prec@1 38.281 (40.655) Prec@5 66.406 (65.913) /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: [7][530/10010] Time 0.345 (0.338) Data 0.001 (0.005) Loss 2.9586 (2.7663) Prec@1 37.500 (40.593) Prec@5 64.062 (65.855) Epoch: [7][540/10010] Time 0.330 (0.337) Data 0.001 (0.005) Loss 2.6170 (2.7669) Prec@1 42.188 (40.582) Prec@5 67.969 (65.853) Epoch: [7][550/10010] Time 0.331 (0.337) Data 0.001 (0.005) Loss 2.4840 (2.7664) Prec@1 48.438 (40.605) Prec@5 71.094 (65.862) Epoch: [7][560/10010] Time 0.331 (0.337) Data 0.001 (0.005) Loss 2.6703 (2.7672) Prec@1 43.750 (40.561) Prec@5 66.406 (65.853) Epoch: [7][570/10010] Time 0.318 (0.337) Data 0.001 (0.005) Loss 2.7981 (2.7676) Prec@1 42.188 (40.555) Prec@5 67.188 (65.853) Epoch: [7][580/10010] Time 0.331 (0.337) Data 0.001 (0.005) Loss 2.8502 (2.7675) Prec@1 34.375 (40.551) Prec@5 62.500 (65.848) Epoch: [7][590/10010] Time 0.339 (0.337) Data 0.001 (0.005) Loss 2.6933 (2.7669) Prec@1 44.531 (40.572) Prec@5 71.094 (65.881) Epoch: [7][600/10010] Time 0.321 (0.337) Data 0.000 (0.005) Loss 2.5937 (2.7664) Prec@1 41.406 (40.594) Prec@5 71.875 (65.898) Epoch: [7][610/10010] Time 0.348 (0.337) Data 0.000 (0.005) Loss 2.8430 (2.7663) Prec@1 35.938 (40.596) Prec@5 64.844 (65.891) Epoch: [7][620/10010] Time 0.329 (0.337) Data 0.001 (0.005) Loss 2.7311 (2.7658) Prec@1 46.094 (40.646) Prec@5 67.969 (65.907) Epoch: [7][630/10010] Time 0.348 (0.337) Data 0.000 (0.005) Loss 2.5305 (2.7650) Prec@1 41.406 (40.652) Prec@5 67.969 (65.920) Epoch: [7][640/10010] Time 0.326 (0.337) Data 0.001 (0.005) Loss 2.3827 (2.7658) Prec@1 46.094 (40.647) Prec@5 74.219 (65.918) Epoch: [7][650/10010] Time 0.333 (0.337) Data 0.000 (0.005) Loss 2.4594 (2.7640) Prec@1 46.094 (40.678) Prec@5 70.312 (65.943) Epoch: [7][660/10010] Time 0.346 (0.337) Data 0.001 (0.005) Loss 2.7280 (2.7626) Prec@1 38.281 (40.684) Prec@5 70.312 (65.981) Epoch: [7][670/10010] Time 0.326 (0.337) Data 0.001 (0.004) Loss 2.9023 (2.7613) Prec@1 41.406 (40.709) Prec@5 60.938 (65.982) Epoch: [7][680/10010] Time 0.323 (0.337) Data 0.001 (0.004) Loss 2.2908 (2.7606) Prec@1 49.219 (40.711) Prec@5 75.000 (66.005) Epoch: [7][690/10010] Time 0.347 (0.337) Data 0.001 (0.004) Loss 2.8970 (2.7591) Prec@1 37.500 (40.741) Prec@5 65.625 (66.049) Epoch: [7][700/10010] Time 0.340 (0.337) Data 0.001 (0.004) Loss 2.7119 (2.7598) Prec@1 39.844 (40.730) Prec@5 67.188 (66.036) Epoch: [7][710/10010] Time 0.342 (0.337) Data 0.000 (0.004) Loss 2.6941 (2.7580) Prec@1 45.312 (40.750) Prec@5 71.094 (66.067) Epoch: [7][720/10010] Time 0.345 (0.337) Data 0.000 (0.004) Loss 2.5573 (2.7576) Prec@1 50.000 (40.744) Prec@5 68.750 (66.069) Epoch: [7][730/10010] Time 0.346 (0.337) Data 0.000 (0.004) Loss 2.6556 (2.7579) Prec@1 39.844 (40.728) Prec@5 67.188 (66.066) Epoch: [7][740/10010] Time 0.335 (0.337) Data 0.001 (0.004) Loss 2.9807 (2.7589) Prec@1 37.500 (40.709) Prec@5 61.719 (66.051) Epoch: [7][750/10010] Time 0.333 (0.336) Data 0.001 (0.004) Loss 3.1098 (2.7588) Prec@1 32.812 (40.729) Prec@5 60.938 (66.049) Epoch: [7][760/10010] Time 0.344 (0.336) Data 0.001 (0.004) Loss 2.6199 (2.7587) Prec@1 46.094 (40.739) Prec@5 66.406 (66.051) Epoch: [7][770/10010] Time 0.334 (0.336) Data 0.001 (0.004) Loss 2.8872 (2.7574) Prec@1 38.281 (40.773) Prec@5 64.062 (66.079) Epoch: [7][780/10010] Time 0.340 (0.336) Data 0.001 (0.004) Loss 3.1402 (2.7579) Prec@1 35.938 (40.780) Prec@5 61.719 (66.071) Epoch: [7][790/10010] Time 0.347 (0.336) Data 0.001 (0.004) Loss 2.7913 (2.7593) Prec@1 39.844 (40.758) Prec@5 63.281 (66.034) Epoch: [7][800/10010] Time 0.340 (0.336) Data 0.001 (0.004) Loss 2.4841 (2.7589) Prec@1 47.656 (40.765) Prec@5 71.875 (66.031) Epoch: [7][810/10010] Time 0.346 (0.336) Data 0.001 (0.004) Loss 2.6860 (2.7595) Prec@1 40.625 (40.768) Prec@5 67.969 (66.006) Epoch: [7][820/10010] Time 0.323 (0.336) Data 0.001 (0.004) Loss 2.5164 (2.7590) Prec@1 48.438 (40.792) Prec@5 68.750 (66.015) Epoch: [7][830/10010] Time 0.323 (0.336) Data 0.001 (0.004) Loss 2.7167 (2.7582) Prec@1 36.719 (40.806) Prec@5 66.406 (66.030) Epoch: [7][840/10010] Time 0.326 (0.336) Data 0.001 (0.004) Loss 2.5273 (2.7579) Prec@1 46.875 (40.812) Prec@5 71.094 (66.050) Epoch: [7][850/10010] Time 0.339 (0.336) Data 0.000 (0.004) Loss 2.9418 (2.7576) Prec@1 35.938 (40.805) Prec@5 61.719 (66.056) Epoch: [7][860/10010] Time 0.346 (0.336) Data 0.001 (0.004) Loss 2.8837 (2.7560) Prec@1 33.594 (40.833) Prec@5 60.156 (66.075) Epoch: [7][870/10010] Time 0.340 (0.336) Data 0.001 (0.004) Loss 3.0230 (2.7555) Prec@1 37.500 (40.848) Prec@5 59.375 (66.071) Epoch: [7][880/10010] Time 0.345 (0.336) Data 0.001 (0.004) Loss 2.9271 (2.7570) Prec@1 41.406 (40.833) Prec@5 66.406 (66.049) Epoch: [7][890/10010] Time 0.321 (0.336) Data 0.001 (0.004) Loss 2.2599 (2.7574) Prec@1 50.781 (40.835) Prec@5 72.656 (66.044) Epoch: [7][900/10010] Time 0.325 (0.336) Data 0.001 (0.003) Loss 2.7818 (2.7572) Prec@1 42.188 (40.843) Prec@5 63.281 (66.056) Epoch: [7][910/10010] Time 0.339 (0.336) Data 0.001 (0.003) Loss 2.5803 (2.7566) Prec@1 41.406 (40.845) Prec@5 65.625 (66.068) Epoch: [7][920/10010] Time 0.330 (0.336) Data 0.000 (0.003) Loss 2.4060 (2.7570) Prec@1 47.656 (40.846) Prec@5 71.875 (66.056) Epoch: [7][930/10010] Time 0.340 (0.336) Data 0.001 (0.003) Loss 2.8758 (2.7581) Prec@1 33.594 (40.811) Prec@5 60.938 (66.029) Epoch: [7][940/10010] Time 0.325 (0.336) Data 0.000 (0.003) Loss 2.7957 (2.7585) Prec@1 39.062 (40.805) Prec@5 60.938 (66.024) Epoch: [7][950/10010] Time 0.326 (0.336) Data 0.001 (0.003) Loss 2.8345 (2.7587) Prec@1 42.188 (40.815) Prec@5 63.281 (66.023) Epoch: [7][960/10010] Time 0.339 (0.336) Data 0.001 (0.003) Loss 3.1968 (2.7587) Prec@1 33.594 (40.828) Prec@5 57.031 (66.020) Epoch: [7][970/10010] Time 0.339 (0.336) Data 0.000 (0.003) Loss 2.8831 (2.7600) Prec@1 35.156 (40.780) Prec@5 59.375 (65.996) Epoch: [7][980/10010] Time 0.328 (0.336) Data 0.000 (0.003) Loss 2.6165 (2.7593) Prec@1 47.656 (40.796) Prec@5 67.969 (66.004) Epoch: [7][990/10010] Time 0.338 (0.336) Data 0.001 (0.003) Loss 2.3723 (2.7589) Prec@1 46.094 (40.814) Prec@5 72.656 (66.019) Epoch: [7][1000/10010] Time 0.346 (0.336) Data 0.000 (0.003) Loss 3.0569 (2.7593) Prec@1 33.594 (40.822) Prec@5 60.938 (66.007) Epoch: [7][1010/10010] Time 0.322 (0.336) Data 0.000 (0.003) Loss 2.6417 (2.7587) Prec@1 41.406 (40.809) Prec@5 64.062 (65.998) Epoch: [7][1020/10010] Time 0.339 (0.336) Data 0.001 (0.003) Loss 3.0555 (2.7590) Prec@1 38.281 (40.808) Prec@5 58.594 (65.988) Epoch: [7][1030/10010] Time 0.334 (0.336) Data 0.001 (0.003) Loss 2.5277 (2.7588) Prec@1 46.094 (40.816) Prec@5 68.750 (65.993) Epoch: [7][1040/10010] Time 0.333 (0.336) Data 0.000 (0.003) Loss 3.0218 (2.7584) Prec@1 32.031 (40.818) Prec@5 62.500 (65.995) Epoch: [7][1050/10010] Time 0.313 (0.336) Data 0.000 (0.003) Loss 2.6121 (2.7585) Prec@1 42.969 (40.809) Prec@5 68.750 (65.993) Epoch: [7][1060/10010] Time 0.337 (0.336) Data 0.001 (0.003) Loss 2.5733 (2.7587) Prec@1 49.219 (40.803) Prec@5 68.750 (65.990) Epoch: [7][1070/10010] Time 0.334 (0.336) Data 0.000 (0.003) Loss 2.9289 (2.7586) Prec@1 39.844 (40.807) Prec@5 60.156 (65.987) Epoch: [7][1080/10010] Time 0.343 (0.336) Data 0.001 (0.003) Loss 2.3533 (2.7579) Prec@1 43.750 (40.817) Prec@5 72.656 (66.007) Epoch: [7][1090/10010] Time 0.341 (0.336) Data 0.001 (0.003) Loss 2.9091 (2.7581) Prec@1 44.531 (40.829) Prec@5 63.281 (66.015) Epoch: [7][1100/10010] Time 0.344 (0.336) Data 0.001 (0.003) Loss 2.6131 (2.7582) Prec@1 45.312 (40.828) Prec@5 67.969 (66.007) Epoch: [7][1110/10010] Time 0.327 (0.336) Data 0.000 (0.003) Loss 2.4584 (2.7580) Prec@1 42.188 (40.832) Prec@5 71.094 (65.998) Epoch: [7][1120/10010] Time 0.336 (0.336) Data 0.000 (0.003) Loss 2.9596 (2.7578) Prec@1 38.281 (40.841) Prec@5 63.281 (66.000) Epoch: [7][1130/10010] Time 0.324 (0.336) Data 0.001 (0.003) Loss 2.6385 (2.7582) Prec@1 37.500 (40.836) Prec@5 65.625 (65.984) Epoch: [7][1140/10010] Time 0.333 (0.336) Data 0.001 (0.003) Loss 3.1059 (2.7579) Prec@1 42.188 (40.844) Prec@5 62.500 (65.994) Epoch: [7][1150/10010] Time 0.341 (0.336) Data 0.001 (0.003) Loss 2.8749 (2.7574) Prec@1 35.938 (40.856) Prec@5 64.062 (66.006) Epoch: [7][1160/10010] Time 0.345 (0.336) Data 0.000 (0.003) Loss 2.6045 (2.7578) Prec@1 51.562 (40.850) Prec@5 64.062 (66.007) /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: [7][1170/10010] Time 0.326 (0.336) Data 0.001 (0.003) Loss 2.7374 (2.7577) Prec@1 40.625 (40.864) Prec@5 68.750 (66.011) Epoch: [7][1180/10010] Time 0.341 (0.336) Data 0.001 (0.003) Loss 2.7669 (2.7577) Prec@1 42.969 (40.865) Prec@5 68.750 (66.015) Epoch: [7][1190/10010] Time 0.338 (0.336) Data 0.001 (0.003) Loss 2.4849 (2.7572) Prec@1 45.312 (40.869) Prec@5 69.531 (66.019) Epoch: [7][1200/10010] Time 0.335 (0.336) Data 0.001 (0.003) Loss 2.7901 (2.7573) Prec@1 42.188 (40.864) Prec@5 71.875 (66.025) Epoch: [7][1210/10010] Time 0.321 (0.336) Data 0.001 (0.003) Loss 2.4266 (2.7572) Prec@1 50.000 (40.871) Prec@5 70.312 (66.026) Epoch: [7][1220/10010] Time 0.320 (0.335) Data 0.003 (0.003) Loss 2.6551 (2.7571) Prec@1 42.969 (40.875) Prec@5 67.969 (66.029) Epoch: [7][1230/10010] Time 0.339 (0.336) Data 0.001 (0.003) Loss 3.1334 (2.7570) Prec@1 37.500 (40.861) Prec@5 55.469 (66.022) Epoch: [7][1240/10010] Time 0.330 (0.335) Data 0.001 (0.003) Loss 2.5840 (2.7566) Prec@1 39.844 (40.863) Prec@5 67.969 (66.024) Epoch: [7][1250/10010] Time 0.329 (0.335) Data 0.000 (0.003) Loss 2.5912 (2.7561) Prec@1 48.438 (40.872) Prec@5 67.188 (66.025) Epoch: [7][1260/10010] Time 0.330 (0.335) Data 0.002 (0.003) Loss 3.0761 (2.7568) Prec@1 34.375 (40.858) Prec@5 65.625 (66.023) Epoch: [7][1270/10010] Time 0.327 (0.335) Data 0.001 (0.003) Loss 2.8127 (2.7568) Prec@1 39.844 (40.854) Prec@5 70.312 (66.023) Epoch: [7][1280/10010] Time 0.325 (0.335) Data 0.001 (0.003) Loss 2.7984 (2.7574) Prec@1 34.375 (40.845) Prec@5 68.750 (66.026) Epoch: [7][1290/10010] Time 0.328 (0.335) Data 0.000 (0.003) Loss 2.4110 (2.7573) Prec@1 43.750 (40.841) Prec@5 65.625 (66.030) Epoch: [7][1300/10010] Time 0.336 (0.335) Data 0.000 (0.003) Loss 2.2246 (2.7565) Prec@1 51.562 (40.854) Prec@5 75.781 (66.051) Epoch: [7][1310/10010] Time 0.324 (0.335) Data 0.001 (0.003) Loss 3.1225 (2.7574) Prec@1 28.906 (40.848) Prec@5 59.375 (66.031) Epoch: [7][1320/10010] Time 0.325 (0.335) Data 0.001 (0.003) Loss 2.3709 (2.7574) Prec@1 47.656 (40.855) Prec@5 72.656 (66.038) Epoch: [7][1330/10010] Time 0.317 (0.335) Data 0.001 (0.003) Loss 2.7816 (2.7575) Prec@1 38.281 (40.863) Prec@5 65.625 (66.028) Epoch: [7][1340/10010] Time 0.329 (0.335) Data 0.000 (0.003) Loss 2.8170 (2.7578) Prec@1 45.312 (40.870) Prec@5 68.750 (66.019) Epoch: [7][1350/10010] Time 0.341 (0.335) Data 0.001 (0.003) Loss 3.0725 (2.7583) Prec@1 39.062 (40.868) Prec@5 60.156 (66.009) Epoch: [7][1360/10010] Time 0.345 (0.335) Data 0.002 (0.003) Loss 2.4407 (2.7583) Prec@1 47.656 (40.870) Prec@5 66.406 (66.002) Epoch: [7][1370/10010] Time 0.326 (0.335) Data 0.000 (0.003) Loss 2.6888 (2.7581) Prec@1 44.531 (40.884) Prec@5 67.969 (66.009) Epoch: [7][1380/10010] Time 0.336 (0.335) Data 0.001 (0.003) Loss 2.6909 (2.7580) Prec@1 42.188 (40.880) Prec@5 60.156 (66.009) Epoch: [7][1390/10010] Time 0.326 (0.335) Data 0.000 (0.002) Loss 2.5956 (2.7581) Prec@1 40.625 (40.870) Prec@5 67.969 (66.010) Epoch: [7][1400/10010] Time 0.337 (0.335) Data 0.001 (0.002) Loss 2.9733 (2.7589) Prec@1 39.062 (40.851) Prec@5 62.500 (65.990) Epoch: [7][1410/10010] Time 0.329 (0.335) Data 0.000 (0.002) Loss 2.9760 (2.7599) Prec@1 35.156 (40.844) Prec@5 64.062 (65.979) Epoch: [7][1420/10010] Time 0.329 (0.335) Data 0.001 (0.002) Loss 2.7073 (2.7598) Prec@1 46.094 (40.842) Prec@5 67.188 (65.986) Epoch: [7][1430/10010] Time 0.325 (0.335) Data 0.001 (0.002) Loss 2.9093 (2.7601) Prec@1 42.188 (40.842) Prec@5 63.281 (65.979) Epoch: [7][1440/10010] Time 0.324 (0.335) Data 0.001 (0.002) Loss 2.5160 (2.7600) Prec@1 42.969 (40.843) Prec@5 75.000 (65.980) Epoch: [7][1450/10010] Time 0.324 (0.335) Data 0.001 (0.002) Loss 2.7619 (2.7595) Prec@1 41.406 (40.850) Prec@5 64.844 (65.987) Epoch: [7][1460/10010] Time 0.348 (0.335) Data 0.000 (0.002) Loss 2.7725 (2.7603) Prec@1 39.062 (40.823) Prec@5 67.969 (65.973) Epoch: [7][1470/10010] Time 0.342 (0.335) Data 0.001 (0.002) Loss 3.0255 (2.7604) Prec@1 39.062 (40.822) Prec@5 58.594 (65.972) Epoch: [7][1480/10010] Time 0.329 (0.335) Data 0.001 (0.002) Loss 2.8666 (2.7602) Prec@1 37.500 (40.821) Prec@5 67.188 (65.976) Epoch: [7][1490/10010] Time 0.318 (0.335) Data 0.001 (0.002) Loss 2.8194 (2.7592) Prec@1 35.938 (40.820) Prec@5 67.188 (66.003) Epoch: [7][1500/10010] Time 0.345 (0.335) Data 0.000 (0.002) Loss 2.9365 (2.7589) Prec@1 42.188 (40.818) Prec@5 62.500 (66.001) Epoch: [7][1510/10010] Time 0.337 (0.335) Data 0.001 (0.002) Loss 3.0946 (2.7594) Prec@1 38.281 (40.812) Prec@5 60.938 (65.989) Epoch: [7][1520/10010] Time 0.343 (0.335) Data 0.000 (0.002) Loss 2.6305 (2.7594) Prec@1 34.375 (40.804) Prec@5 67.969 (65.988) Epoch: [7][1530/10010] Time 0.332 (0.335) Data 0.001 (0.002) Loss 2.2975 (2.7588) Prec@1 55.469 (40.822) Prec@5 75.000 (65.996) /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: [7][1540/10010] Time 0.335 (0.335) Data 0.001 (0.002) Loss 2.3581 (2.7591) Prec@1 48.438 (40.815) Prec@5 75.781 (65.995) Epoch: [7][1550/10010] Time 0.347 (0.335) Data 0.001 (0.002) Loss 2.7732 (2.7594) Prec@1 35.156 (40.809) Prec@5 64.062 (65.989) Epoch: [7][1560/10010] Time 0.325 (0.335) Data 0.001 (0.002) Loss 2.9286 (2.7589) Prec@1 36.719 (40.818) Prec@5 62.500 (66.004) Epoch: [7][1570/10010] Time 0.326 (0.335) Data 0.001 (0.002) Loss 2.8282 (2.7584) Prec@1 37.500 (40.815) Prec@5 70.312 (66.017) Epoch: [7][1580/10010] Time 0.333 (0.335) Data 0.001 (0.002) Loss 2.8355 (2.7590) Prec@1 42.188 (40.806) Prec@5 64.844 (66.005) Epoch: [7][1590/10010] Time 0.336 (0.335) Data 0.001 (0.002) Loss 2.6059 (2.7592) Prec@1 43.750 (40.797) Prec@5 67.969 (66.003) Epoch: [7][1600/10010] Time 0.320 (0.335) Data 0.001 (0.002) Loss 2.6910 (2.7589) Prec@1 40.625 (40.787) Prec@5 67.969 (66.002) Epoch: [7][1610/10010] Time 0.330 (0.335) Data 0.001 (0.002) Loss 3.0892 (2.7596) Prec@1 32.812 (40.772) Prec@5 62.500 (65.990) Epoch: [7][1620/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.5213 (2.7595) Prec@1 39.844 (40.773) Prec@5 70.312 (66.000) Epoch: [7][1630/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 3.1384 (2.7600) Prec@1 39.844 (40.780) Prec@5 61.719 (65.998) Epoch: [7][1640/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 2.6509 (2.7593) Prec@1 39.062 (40.784) Prec@5 67.969 (66.002) Epoch: [7][1650/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 2.7924 (2.7595) Prec@1 38.281 (40.781) Prec@5 71.875 (66.002) Epoch: [7][1660/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 2.7088 (2.7594) Prec@1 40.625 (40.781) Prec@5 67.969 (65.999) Epoch: [7][1670/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.6869 (2.7602) Prec@1 43.750 (40.775) Prec@5 67.188 (65.986) Epoch: [7][1680/10010] Time 0.334 (0.334) Data 0.001 (0.002) Loss 2.5972 (2.7602) Prec@1 43.750 (40.775) Prec@5 70.312 (65.991) Epoch: [7][1690/10010] Time 0.334 (0.334) Data 0.001 (0.002) Loss 2.8900 (2.7604) Prec@1 33.594 (40.763) Prec@5 61.719 (65.984) Epoch: [7][1700/10010] Time 0.336 (0.334) Data 0.000 (0.002) Loss 2.9054 (2.7608) Prec@1 37.500 (40.761) Prec@5 67.969 (65.982) Epoch: [7][1710/10010] Time 0.336 (0.334) Data 0.000 (0.002) Loss 2.6667 (2.7608) Prec@1 42.188 (40.760) Prec@5 65.625 (65.985) Epoch: [7][1720/10010] Time 0.346 (0.334) Data 0.001 (0.002) Loss 2.6208 (2.7607) Prec@1 42.188 (40.750) Prec@5 66.406 (65.988) /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: [7][1730/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.8157 (2.7608) Prec@1 40.625 (40.756) Prec@5 66.406 (65.993) Epoch: [7][1740/10010] Time 0.345 (0.334) Data 0.000 (0.002) Loss 2.6935 (2.7607) Prec@1 43.750 (40.753) Prec@5 64.844 (65.996) Epoch: [7][1750/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 2.7522 (2.7605) Prec@1 42.969 (40.755) Prec@5 65.625 (65.993) Epoch: [7][1760/10010] Time 0.334 (0.334) Data 0.001 (0.002) Loss 2.5350 (2.7600) Prec@1 42.969 (40.767) Prec@5 65.625 (66.000) Epoch: [7][1770/10010] Time 0.324 (0.334) Data 0.000 (0.002) Loss 2.9109 (2.7599) Prec@1 35.938 (40.771) Prec@5 64.844 (65.999) Epoch: [7][1780/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 2.5267 (2.7596) Prec@1 42.969 (40.784) Prec@5 69.531 (66.004) Epoch: [7][1790/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 2.4761 (2.7595) Prec@1 45.312 (40.788) Prec@5 71.875 (66.009) Epoch: [7][1800/10010] Time 0.326 (0.334) Data 0.000 (0.002) Loss 2.5979 (2.7593) Prec@1 42.188 (40.793) Prec@5 69.531 (66.019) Epoch: [7][1810/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 3.0456 (2.7596) Prec@1 31.250 (40.793) Prec@5 62.500 (66.019) Epoch: [7][1820/10010] Time 0.347 (0.334) Data 0.001 (0.002) Loss 2.9596 (2.7596) Prec@1 37.500 (40.795) Prec@5 64.844 (66.017) Epoch: [7][1830/10010] Time 0.324 (0.334) Data 0.000 (0.002) Loss 2.8333 (2.7598) Prec@1 36.719 (40.791) Prec@5 66.406 (66.015) Epoch: [7][1840/10010] Time 0.328 (0.334) Data 0.001 (0.002) Loss 2.9862 (2.7597) Prec@1 32.812 (40.791) Prec@5 64.062 (66.018) Epoch: [7][1850/10010] Time 0.320 (0.334) Data 0.001 (0.002) Loss 2.8019 (2.7600) Prec@1 40.625 (40.783) Prec@5 68.750 (66.013) Epoch: [7][1860/10010] Time 0.330 (0.334) Data 0.001 (0.002) Loss 2.4334 (2.7601) Prec@1 48.438 (40.778) Prec@5 70.312 (66.012) Epoch: [7][1870/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.7847 (2.7607) Prec@1 43.750 (40.767) Prec@5 63.281 (65.995) Epoch: [7][1880/10010] Time 0.334 (0.334) Data 0.001 (0.002) Loss 2.5185 (2.7605) Prec@1 42.188 (40.766) Prec@5 70.312 (66.000) Epoch: [7][1890/10010] Time 0.335 (0.334) Data 0.001 (0.002) Loss 2.7384 (2.7603) Prec@1 46.094 (40.769) Prec@5 65.625 (66.005) Epoch: [7][1900/10010] Time 0.326 (0.334) Data 0.000 (0.002) Loss 2.8913 (2.7599) Prec@1 42.188 (40.780) Prec@5 59.375 (66.013) Epoch: [7][1910/10010] Time 0.306 (0.334) Data 0.001 (0.002) Loss 2.7995 (2.7607) Prec@1 37.500 (40.766) Prec@5 64.844 (65.996) Epoch: [7][1920/10010] Time 0.347 (0.334) Data 0.001 (0.002) Loss 2.7980 (2.7604) Prec@1 39.844 (40.763) Prec@5 64.844 (65.997) Epoch: [7][1930/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 2.7216 (2.7606) Prec@1 40.625 (40.756) Prec@5 64.844 (65.991) Epoch: [7][1940/10010] Time 0.324 (0.334) Data 0.000 (0.002) Loss 2.7912 (2.7602) Prec@1 41.406 (40.760) Prec@5 64.844 (65.999) Epoch: [7][1950/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 3.0996 (2.7604) Prec@1 37.500 (40.757) Prec@5 59.375 (65.995) Epoch: [7][1960/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 2.5352 (2.7602) Prec@1 43.750 (40.752) Prec@5 74.219 (65.999) Epoch: [7][1970/10010] Time 0.321 (0.334) Data 0.001 (0.002) Loss 2.6818 (2.7604) Prec@1 40.625 (40.754) Prec@5 72.656 (66.006) Epoch: [7][1980/10010] Time 0.329 (0.334) Data 0.001 (0.002) Loss 2.7228 (2.7608) Prec@1 41.406 (40.744) Prec@5 67.188 (65.994) Epoch: [7][1990/10010] Time 0.328 (0.334) Data 0.001 (0.002) Loss 2.5834 (2.7603) Prec@1 45.312 (40.751) Prec@5 67.969 (66.002) Epoch: [7][2000/10010] Time 0.348 (0.334) Data 0.001 (0.002) Loss 2.8280 (2.7605) Prec@1 39.062 (40.745) Prec@5 67.969 (65.997) Epoch: [7][2010/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 2.4291 (2.7605) Prec@1 44.531 (40.742) Prec@5 68.750 (65.991) Epoch: [7][2020/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 2.9047 (2.7602) Prec@1 42.969 (40.751) Prec@5 66.406 (65.993) Epoch: [7][2030/10010] Time 0.331 (0.334) Data 0.000 (0.002) Loss 2.7018 (2.7608) Prec@1 39.844 (40.743) Prec@5 65.625 (65.984) Epoch: [7][2040/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 3.0363 (2.7613) Prec@1 32.812 (40.727) Prec@5 56.250 (65.978) Epoch: [7][2050/10010] Time 0.351 (0.334) Data 0.000 (0.002) Loss 2.9799 (2.7612) Prec@1 38.281 (40.723) Prec@5 64.844 (65.976) Epoch: [7][2060/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.7732 (2.7610) Prec@1 38.281 (40.717) Prec@5 70.312 (65.980) Epoch: [7][2070/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.7042 (2.7608) Prec@1 41.406 (40.710) Prec@5 62.500 (65.986) Epoch: [7][2080/10010] Time 0.345 (0.334) Data 0.001 (0.002) Loss 2.9478 (2.7613) Prec@1 36.719 (40.703) Prec@5 63.281 (65.974) Epoch: [7][2090/10010] Time 0.320 (0.334) Data 0.001 (0.002) Loss 3.0662 (2.7614) Prec@1 35.156 (40.698) Prec@5 63.281 (65.974) Epoch: [7][2100/10010] Time 0.315 (0.334) Data 0.000 (0.002) Loss 3.0879 (2.7616) Prec@1 35.938 (40.692) Prec@5 64.062 (65.973) Epoch: [7][2110/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.6441 (2.7617) Prec@1 46.094 (40.692) Prec@5 66.406 (65.974) Epoch: [7][2120/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 2.6496 (2.7616) Prec@1 40.625 (40.699) Prec@5 71.094 (65.973) Epoch: [7][2130/10010] Time 0.351 (0.334) Data 0.000 (0.002) Loss 3.1226 (2.7622) Prec@1 39.062 (40.693) Prec@5 62.500 (65.963) Epoch: [7][2140/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.8887 (2.7625) Prec@1 32.812 (40.688) Prec@5 66.406 (65.956) Epoch: [7][2150/10010] Time 0.340 (0.334) Data 0.001 (0.002) Loss 2.5507 (2.7624) Prec@1 39.844 (40.688) Prec@5 68.750 (65.964) Epoch: [7][2160/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 2.6951 (2.7619) Prec@1 42.188 (40.693) Prec@5 63.281 (65.968) Epoch: [7][2170/10010] Time 0.317 (0.334) Data 0.001 (0.002) Loss 2.6355 (2.7623) Prec@1 42.969 (40.681) Prec@5 69.531 (65.961) Epoch: [7][2180/10010] Time 0.330 (0.334) Data 0.000 (0.002) Loss 2.8632 (2.7625) Prec@1 43.750 (40.683) Prec@5 64.844 (65.960) Epoch: [7][2190/10010] Time 0.336 (0.334) Data 0.000 (0.002) Loss 2.8136 (2.7624) Prec@1 41.406 (40.679) Prec@5 68.750 (65.965) Epoch: [7][2200/10010] Time 0.330 (0.334) Data 0.001 (0.002) Loss 3.0680 (2.7625) Prec@1 36.719 (40.681) Prec@5 59.375 (65.963) Epoch: [7][2210/10010] Time 0.330 (0.334) Data 0.000 (0.002) Loss 2.5808 (2.7627) Prec@1 43.750 (40.685) Prec@5 71.875 (65.960) Epoch: [7][2220/10010] Time 0.347 (0.334) Data 0.001 (0.002) Loss 2.8285 (2.7623) Prec@1 38.281 (40.691) Prec@5 62.500 (65.966) Epoch: [7][2230/10010] Time 0.333 (0.334) Data 0.000 (0.002) Loss 2.6713 (2.7621) Prec@1 46.875 (40.698) Prec@5 65.625 (65.968) Epoch: [7][2240/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.6678 (2.7616) Prec@1 40.625 (40.705) Prec@5 68.750 (65.973) Epoch: [7][2250/10010] Time 0.327 (0.334) Data 0.000 (0.002) Loss 2.8068 (2.7616) Prec@1 41.406 (40.698) Prec@5 63.281 (65.971) Epoch: [7][2260/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.3745 (2.7614) Prec@1 41.406 (40.696) Prec@5 73.438 (65.968) Epoch: [7][2270/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 3.1349 (2.7616) Prec@1 35.938 (40.700) Prec@5 60.938 (65.969) Epoch: [7][2280/10010] Time 0.319 (0.334) Data 0.001 (0.002) Loss 2.7133 (2.7614) Prec@1 40.625 (40.708) Prec@5 71.875 (65.966) Epoch: [7][2290/10010] Time 0.326 (0.334) Data 0.000 (0.002) Loss 2.5017 (2.7612) Prec@1 42.969 (40.710) Prec@5 71.094 (65.977) Epoch: [7][2300/10010] Time 0.330 (0.334) Data 0.001 (0.002) Loss 3.0434 (2.7617) Prec@1 38.281 (40.708) Prec@5 60.938 (65.972) Epoch: [7][2310/10010] Time 0.344 (0.334) Data 0.000 (0.002) Loss 2.9058 (2.7613) Prec@1 34.375 (40.706) Prec@5 61.719 (65.976) Epoch: [7][2320/10010] Time 0.350 (0.334) Data 0.000 (0.002) Loss 2.7749 (2.7612) Prec@1 39.062 (40.706) Prec@5 67.188 (65.979) Epoch: [7][2330/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 2.7185 (2.7615) Prec@1 42.188 (40.702) Prec@5 63.281 (65.975) Epoch: [7][2340/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 3.1280 (2.7625) Prec@1 32.031 (40.691) Prec@5 60.156 (65.956) Epoch: [7][2350/10010] Time 0.326 (0.334) Data 0.000 (0.002) Loss 2.8304 (2.7623) Prec@1 39.062 (40.692) Prec@5 63.281 (65.956) Epoch: [7][2360/10010] Time 0.342 (0.334) Data 0.001 (0.002) Loss 2.6787 (2.7620) Prec@1 41.406 (40.693) Prec@5 65.625 (65.961) Epoch: [7][2370/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 2.5326 (2.7619) Prec@1 44.531 (40.697) Prec@5 69.531 (65.958) Epoch: [7][2380/10010] Time 0.333 (0.334) Data 0.000 (0.002) Loss 2.9005 (2.7619) Prec@1 38.281 (40.694) Prec@5 69.531 (65.964) Epoch: [7][2390/10010] Time 0.339 (0.334) Data 0.001 (0.002) Loss 2.9751 (2.7625) Prec@1 39.062 (40.696) Prec@5 60.938 (65.956) Epoch: [7][2400/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 2.8201 (2.7624) Prec@1 42.969 (40.692) Prec@5 62.500 (65.959) Epoch: [7][2410/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.4531 (2.7627) Prec@1 46.875 (40.688) Prec@5 72.656 (65.956) Epoch: [7][2420/10010] Time 0.318 (0.334) Data 0.001 (0.002) Loss 2.5965 (2.7632) Prec@1 41.406 (40.683) Prec@5 67.188 (65.950) Epoch: [7][2430/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 2.9562 (2.7633) Prec@1 46.875 (40.686) Prec@5 64.844 (65.950) Epoch: [7][2440/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.7208 (2.7636) Prec@1 42.188 (40.682) Prec@5 64.062 (65.946) Epoch: [7][2450/10010] Time 0.326 (0.334) Data 0.000 (0.002) Loss 2.7594 (2.7639) Prec@1 42.969 (40.682) Prec@5 67.188 (65.946) Epoch: [7][2460/10010] Time 0.319 (0.334) Data 0.000 (0.002) Loss 2.9469 (2.7638) Prec@1 37.500 (40.677) Prec@5 62.500 (65.951) Epoch: [7][2470/10010] Time 0.329 (0.334) Data 0.000 (0.002) Loss 2.9205 (2.7640) Prec@1 35.938 (40.670) Prec@5 64.844 (65.955) Epoch: [7][2480/10010] Time 0.319 (0.334) Data 0.001 (0.002) Loss 2.6365 (2.7639) Prec@1 42.969 (40.677) Prec@5 68.750 (65.957) Epoch: [7][2490/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 2.9609 (2.7642) Prec@1 42.969 (40.670) Prec@5 65.625 (65.947) Epoch: [7][2500/10010] Time 0.343 (0.334) Data 0.001 (0.002) Loss 2.7470 (2.7645) Prec@1 39.844 (40.667) Prec@5 65.625 (65.940) Epoch: [7][2510/10010] Time 0.332 (0.334) Data 0.001 (0.002) Loss 2.9110 (2.7645) Prec@1 40.625 (40.668) Prec@5 63.281 (65.935) Epoch: [7][2520/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 2.4452 (2.7646) Prec@1 49.219 (40.664) Prec@5 71.875 (65.932) Epoch: [7][2530/10010] Time 0.331 (0.334) Data 0.000 (0.002) Loss 2.5594 (2.7642) Prec@1 44.531 (40.671) Prec@5 70.312 (65.939) Epoch: [7][2540/10010] Time 0.345 (0.334) Data 0.000 (0.002) Loss 2.6485 (2.7642) Prec@1 39.844 (40.671) Prec@5 70.312 (65.944) Epoch: [7][2550/10010] Time 0.346 (0.334) Data 0.001 (0.002) Loss 2.3492 (2.7640) Prec@1 51.562 (40.683) Prec@5 72.656 (65.942) Epoch: [7][2560/10010] Time 0.323 (0.334) Data 0.000 (0.002) Loss 2.5445 (2.7637) Prec@1 42.188 (40.687) Prec@5 74.219 (65.949) Epoch: [7][2570/10010] Time 0.345 (0.334) Data 0.000 (0.002) Loss 2.8758 (2.7638) Prec@1 32.812 (40.684) Prec@5 69.531 (65.951) Epoch: [7][2580/10010] Time 0.329 (0.334) Data 0.001 (0.002) Loss 2.8875 (2.7638) Prec@1 42.969 (40.689) Prec@5 64.844 (65.955) Epoch: [7][2590/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 2.4566 (2.7640) Prec@1 40.625 (40.680) Prec@5 71.094 (65.949) Epoch: [7][2600/10010] Time 0.329 (0.334) Data 0.000 (0.002) Loss 3.0934 (2.7640) Prec@1 37.500 (40.676) Prec@5 60.938 (65.952) Epoch: [7][2610/10010] Time 0.347 (0.334) Data 0.000 (0.002) Loss 2.8706 (2.7642) Prec@1 42.969 (40.669) Prec@5 66.406 (65.955) Epoch: [7][2620/10010] Time 0.344 (0.334) Data 0.001 (0.002) Loss 2.5039 (2.7637) Prec@1 44.531 (40.677) Prec@5 71.875 (65.967) Epoch: [7][2630/10010] Time 0.327 (0.334) Data 0.000 (0.002) Loss 2.5518 (2.7637) Prec@1 48.438 (40.673) Prec@5 67.969 (65.962) Epoch: [7][2640/10010] Time 0.321 (0.334) Data 0.000 (0.002) Loss 2.2754 (2.7635) Prec@1 47.656 (40.682) Prec@5 71.094 (65.965) Epoch: [7][2650/10010] Time 0.319 (0.334) Data 0.000 (0.002) Loss 2.7009 (2.7636) Prec@1 42.969 (40.680) Prec@5 65.625 (65.965) Epoch: [7][2660/10010] Time 0.321 (0.334) Data 0.001 (0.002) Loss 2.6328 (2.7637) Prec@1 42.969 (40.681) Prec@5 70.312 (65.966) Epoch: [7][2670/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.8164 (2.7632) Prec@1 34.375 (40.688) Prec@5 65.625 (65.971) Epoch: [7][2680/10010] Time 0.330 (0.334) Data 0.001 (0.002) Loss 2.8064 (2.7632) Prec@1 38.281 (40.686) Prec@5 67.969 (65.970) Epoch: [7][2690/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.6643 (2.7632) Prec@1 43.750 (40.688) Prec@5 73.438 (65.972) Epoch: [7][2700/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.9726 (2.7633) Prec@1 39.062 (40.691) Prec@5 60.156 (65.972) Epoch: [7][2710/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 2.5399 (2.7632) Prec@1 43.750 (40.692) Prec@5 67.969 (65.970) Epoch: [7][2720/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.6968 (2.7633) Prec@1 39.844 (40.684) Prec@5 66.406 (65.967) Epoch: [7][2730/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.8764 (2.7633) Prec@1 41.406 (40.687) Prec@5 65.625 (65.966) Epoch: [7][2740/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 3.0460 (2.7637) Prec@1 37.500 (40.681) Prec@5 61.719 (65.963) Epoch: [7][2750/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.6911 (2.7641) Prec@1 46.875 (40.682) Prec@5 68.750 (65.960) Epoch: [7][2760/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 3.0670 (2.7638) Prec@1 35.156 (40.687) Prec@5 61.719 (65.964) Epoch: [7][2770/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.5951 (2.7639) Prec@1 44.531 (40.688) Prec@5 67.188 (65.960) Epoch: [7][2780/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.8160 (2.7641) Prec@1 43.750 (40.684) Prec@5 64.062 (65.958) Epoch: [7][2790/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 3.2216 (2.7641) Prec@1 32.031 (40.680) Prec@5 58.594 (65.955) Epoch: [7][2800/10010] Time 0.348 (0.333) Data 0.001 (0.002) Loss 3.0912 (2.7643) Prec@1 27.344 (40.669) Prec@5 62.500 (65.955) Epoch: [7][2810/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.7140 (2.7651) Prec@1 42.188 (40.653) Prec@5 73.438 (65.947) Epoch: [7][2820/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 3.0888 (2.7655) Prec@1 37.500 (40.646) Prec@5 61.719 (65.944) Epoch: [7][2830/10010] Time 0.346 (0.333) Data 0.001 (0.002) Loss 3.0538 (2.7653) Prec@1 35.938 (40.650) Prec@5 58.594 (65.946) Epoch: [7][2840/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.7166 (2.7652) Prec@1 39.062 (40.652) Prec@5 67.188 (65.950) Epoch: [7][2850/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 3.2080 (2.7654) Prec@1 27.344 (40.647) Prec@5 57.031 (65.948) Epoch: [7][2860/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.6312 (2.7653) Prec@1 39.062 (40.648) Prec@5 68.750 (65.950) Epoch: [7][2870/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.5832 (2.7653) Prec@1 42.969 (40.653) Prec@5 70.312 (65.950) Epoch: [7][2880/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.6406 (2.7655) Prec@1 44.531 (40.650) Prec@5 71.094 (65.947) Epoch: [7][2890/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 3.1374 (2.7656) Prec@1 34.375 (40.650) Prec@5 57.812 (65.945) Epoch: [7][2900/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.4490 (2.7657) Prec@1 47.656 (40.656) Prec@5 71.875 (65.944) Epoch: [7][2910/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 3.0024 (2.7658) Prec@1 32.812 (40.653) Prec@5 59.375 (65.947) Epoch: [7][2920/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.8455 (2.7659) Prec@1 38.281 (40.653) Prec@5 61.719 (65.940) Epoch: [7][2930/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.6452 (2.7660) Prec@1 42.969 (40.651) Prec@5 69.531 (65.934) Epoch: [7][2940/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 3.0926 (2.7663) Prec@1 34.375 (40.649) Prec@5 56.250 (65.932) Epoch: [7][2950/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.8630 (2.7664) Prec@1 41.406 (40.654) Prec@5 61.719 (65.932) Epoch: [7][2960/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.8411 (2.7667) Prec@1 35.156 (40.645) Prec@5 63.281 (65.923) Epoch: [7][2970/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 3.0356 (2.7669) Prec@1 36.719 (40.643) Prec@5 65.625 (65.920) Epoch: [7][2980/10010] Time 0.348 (0.333) Data 0.001 (0.002) Loss 2.6138 (2.7667) Prec@1 42.969 (40.642) Prec@5 72.656 (65.926) Epoch: [7][2990/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 3.0552 (2.7668) Prec@1 35.938 (40.638) Prec@5 62.500 (65.924) Epoch: [7][3000/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.9933 (2.7668) Prec@1 38.281 (40.644) Prec@5 64.844 (65.925) Epoch: [7][3010/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 3.1625 (2.7668) Prec@1 37.500 (40.644) Prec@5 57.812 (65.926) Epoch: [7][3020/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 2.9117 (2.7666) Prec@1 33.594 (40.647) Prec@5 68.750 (65.928) Epoch: [7][3030/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6246 (2.7665) Prec@1 38.281 (40.645) Prec@5 67.969 (65.930) Epoch: [7][3040/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.6617 (2.7666) Prec@1 47.656 (40.648) Prec@5 68.750 (65.931) Epoch: [7][3050/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7798 (2.7664) Prec@1 43.750 (40.647) Prec@5 66.406 (65.934) Epoch: [7][3060/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.8390 (2.7663) Prec@1 43.750 (40.649) Prec@5 65.625 (65.934) Epoch: [7][3070/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 3.1307 (2.7665) Prec@1 38.281 (40.641) Prec@5 58.594 (65.930) Epoch: [7][3080/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.8900 (2.7666) Prec@1 46.094 (40.642) Prec@5 64.844 (65.925) Epoch: [7][3090/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 3.4455 (2.7669) Prec@1 32.031 (40.643) Prec@5 56.250 (65.925) Epoch: [7][3100/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.9070 (2.7670) Prec@1 37.500 (40.640) Prec@5 61.719 (65.926) Epoch: [7][3110/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7793 (2.7670) Prec@1 39.844 (40.642) Prec@5 65.625 (65.927) Epoch: [7][3120/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.6143 (2.7670) Prec@1 43.750 (40.640) Prec@5 67.969 (65.927) Epoch: [7][3130/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.8314 (2.7669) Prec@1 38.281 (40.635) Prec@5 65.625 (65.930) Epoch: [7][3140/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.5879 (2.7671) Prec@1 43.750 (40.630) Prec@5 71.875 (65.926) Epoch: [7][3150/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.7683 (2.7673) Prec@1 43.750 (40.631) Prec@5 64.062 (65.927) Epoch: [7][3160/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.5940 (2.7671) Prec@1 42.969 (40.637) Prec@5 64.844 (65.933) Epoch: [7][3170/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.5676 (2.7670) Prec@1 43.750 (40.636) Prec@5 67.188 (65.932) Epoch: [7][3180/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.9349 (2.7671) Prec@1 34.375 (40.627) Prec@5 63.281 (65.932) Epoch: [7][3190/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.4902 (2.7668) Prec@1 47.656 (40.632) Prec@5 68.750 (65.936) Epoch: [7][3200/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.6405 (2.7669) Prec@1 42.969 (40.627) Prec@5 66.406 (65.934) Epoch: [7][3210/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.6901 (2.7671) Prec@1 40.625 (40.620) Prec@5 66.406 (65.931) Epoch: [7][3220/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.3931 (2.7670) Prec@1 45.312 (40.622) Prec@5 73.438 (65.934) Epoch: [7][3230/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.8906 (2.7671) Prec@1 38.281 (40.624) Prec@5 66.406 (65.931) Epoch: [7][3240/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.5061 (2.7668) Prec@1 42.969 (40.629) Prec@5 68.750 (65.936) Epoch: [7][3250/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.6419 (2.7667) Prec@1 46.094 (40.632) Prec@5 70.312 (65.938) Epoch: [7][3260/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.7068 (2.7666) Prec@1 46.094 (40.634) Prec@5 66.406 (65.944) Epoch: [7][3270/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.8192 (2.7666) Prec@1 34.375 (40.634) Prec@5 66.406 (65.948) Epoch: [7][3280/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 3.0081 (2.7669) Prec@1 35.938 (40.630) Prec@5 59.375 (65.940) Epoch: [7][3290/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.3874 (2.7669) Prec@1 46.094 (40.627) Prec@5 75.000 (65.940) Epoch: [7][3300/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.9619 (2.7670) Prec@1 37.500 (40.622) Prec@5 60.938 (65.937) Epoch: [7][3310/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 3.1214 (2.7670) Prec@1 38.281 (40.623) Prec@5 63.281 (65.941) Epoch: [7][3320/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.9041 (2.7673) Prec@1 34.375 (40.617) Prec@5 62.500 (65.936) Epoch: [7][3330/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.9086 (2.7669) Prec@1 34.375 (40.629) Prec@5 60.156 (65.941) Epoch: [7][3340/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.5018 (2.7666) Prec@1 42.969 (40.632) Prec@5 71.094 (65.944) Epoch: [7][3350/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 2.8365 (2.7667) Prec@1 39.844 (40.627) Prec@5 64.062 (65.941) Epoch: [7][3360/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.3502 (2.7665) Prec@1 51.562 (40.632) Prec@5 71.875 (65.949) Epoch: [7][3370/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.3168 (2.7662) Prec@1 47.656 (40.635) Prec@5 73.438 (65.953) Epoch: [7][3380/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.8339 (2.7663) Prec@1 43.750 (40.632) Prec@5 61.719 (65.950) Epoch: [7][3390/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6889 (2.7663) Prec@1 41.406 (40.626) Prec@5 68.750 (65.953) Epoch: [7][3400/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.6878 (2.7664) Prec@1 43.750 (40.627) Prec@5 63.281 (65.952) Epoch: [7][3410/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.6135 (2.7663) Prec@1 39.844 (40.630) Prec@5 68.750 (65.952) Epoch: [7][3420/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.8880 (2.7661) Prec@1 38.281 (40.637) Prec@5 62.500 (65.956) Epoch: [7][3430/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6200 (2.7660) Prec@1 47.656 (40.641) Prec@5 70.312 (65.957) Epoch: [7][3440/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.6993 (2.7660) Prec@1 35.938 (40.643) Prec@5 72.656 (65.961) Epoch: [7][3450/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7551 (2.7661) Prec@1 43.750 (40.647) Prec@5 67.188 (65.957) Epoch: [7][3460/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.4981 (2.7659) Prec@1 49.219 (40.650) Prec@5 71.094 (65.960) Epoch: [7][3470/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.8367 (2.7661) Prec@1 39.844 (40.645) Prec@5 60.156 (65.956) Epoch: [7][3480/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.8141 (2.7659) Prec@1 41.406 (40.649) Prec@5 65.625 (65.958) Epoch: [7][3490/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.9627 (2.7662) Prec@1 38.281 (40.645) Prec@5 60.156 (65.956) Epoch: [7][3500/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.6673 (2.7658) Prec@1 44.531 (40.651) Prec@5 64.844 (65.960) Epoch: [7][3510/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.8655 (2.7658) Prec@1 38.281 (40.651) Prec@5 64.062 (65.960) Epoch: [7][3520/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.9424 (2.7657) Prec@1 37.500 (40.657) Prec@5 67.969 (65.961) Epoch: [7][3530/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.3803 (2.7657) Prec@1 48.438 (40.661) Prec@5 75.000 (65.966) Epoch: [7][3540/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.8335 (2.7655) Prec@1 39.844 (40.667) Prec@5 67.188 (65.970) Epoch: [7][3550/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 3.0183 (2.7658) Prec@1 32.031 (40.665) Prec@5 66.406 (65.966) Epoch: [7][3560/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.8260 (2.7659) Prec@1 41.406 (40.662) Prec@5 61.719 (65.959) Epoch: [7][3570/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.6054 (2.7658) Prec@1 39.062 (40.663) Prec@5 67.188 (65.958) Epoch: [7][3580/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.5376 (2.7659) Prec@1 42.969 (40.660) Prec@5 68.750 (65.951) Epoch: [7][3590/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.8712 (2.7660) Prec@1 42.188 (40.662) Prec@5 63.281 (65.951) Epoch: [7][3600/10010] Time 0.312 (0.333) Data 0.001 (0.001) Loss 3.0051 (2.7661) Prec@1 34.375 (40.658) Prec@5 60.156 (65.950) Epoch: [7][3610/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.5395 (2.7659) Prec@1 47.656 (40.661) Prec@5 70.312 (65.957) Epoch: [7][3620/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.8657 (2.7659) Prec@1 37.500 (40.657) Prec@5 64.844 (65.953) Epoch: [7][3630/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.4226 (2.7659) Prec@1 44.531 (40.655) Prec@5 71.875 (65.953) Epoch: [7][3640/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.9312 (2.7661) Prec@1 39.844 (40.655) Prec@5 61.719 (65.949) Epoch: [7][3650/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6094 (2.7661) Prec@1 44.531 (40.650) Prec@5 70.312 (65.951) Epoch: [7][3660/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.5816 (2.7664) Prec@1 43.750 (40.646) Prec@5 70.312 (65.950) Epoch: [7][3670/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.7107 (2.7665) Prec@1 40.625 (40.642) Prec@5 66.406 (65.947) Epoch: [7][3680/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7419 (2.7665) Prec@1 40.625 (40.645) Prec@5 67.188 (65.949) Epoch: [7][3690/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.9594 (2.7665) Prec@1 36.719 (40.643) Prec@5 62.500 (65.951) Epoch: [7][3700/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.8843 (2.7659) Prec@1 38.281 (40.646) Prec@5 61.719 (65.958) Epoch: [7][3710/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.8373 (2.7657) Prec@1 38.281 (40.649) Prec@5 67.188 (65.963) Epoch: [7][3720/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.5253 (2.7658) Prec@1 46.875 (40.647) Prec@5 70.312 (65.965) /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: [7][3730/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 3.0284 (2.7658) Prec@1 37.500 (40.652) Prec@5 62.500 (65.966) Epoch: [7][3740/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.8077 (2.7658) Prec@1 45.312 (40.654) Prec@5 64.844 (65.966) Epoch: [7][3750/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7131 (2.7660) Prec@1 41.406 (40.652) Prec@5 64.062 (65.966) Epoch: [7][3760/10010] Time 0.351 (0.333) Data 0.000 (0.001) Loss 2.2975 (2.7659) Prec@1 49.219 (40.655) Prec@5 74.219 (65.964) Epoch: [7][3770/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.8341 (2.7662) Prec@1 46.875 (40.652) Prec@5 65.625 (65.963) Epoch: [7][3780/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.7282 (2.7660) Prec@1 40.625 (40.658) Prec@5 64.844 (65.965) Epoch: [7][3790/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 2.5848 (2.7660) Prec@1 41.406 (40.656) Prec@5 67.188 (65.968) Epoch: [7][3800/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7477 (2.7660) Prec@1 37.500 (40.658) Prec@5 63.281 (65.971) Epoch: [7][3810/10010] Time 0.348 (0.333) Data 0.001 (0.001) Loss 2.9855 (2.7661) Prec@1 36.719 (40.652) Prec@5 60.156 (65.970) Epoch: [7][3820/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.6505 (2.7658) Prec@1 41.406 (40.656) Prec@5 67.969 (65.976) Epoch: [7][3830/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.5433 (2.7656) Prec@1 46.875 (40.659) Prec@5 66.406 (65.977) Epoch: [7][3840/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.6511 (2.7653) Prec@1 39.062 (40.662) Prec@5 68.750 (65.981) Epoch: [7][3850/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.6007 (2.7654) Prec@1 43.750 (40.660) Prec@5 74.219 (65.983) Epoch: [7][3860/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.9561 (2.7655) Prec@1 37.500 (40.658) Prec@5 65.625 (65.982) Epoch: [7][3870/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.9016 (2.7658) Prec@1 44.531 (40.657) Prec@5 63.281 (65.975) Epoch: [7][3880/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.7790 (2.7659) Prec@1 40.625 (40.657) Prec@5 66.406 (65.972) Epoch: [7][3890/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.6306 (2.7657) Prec@1 40.625 (40.658) Prec@5 67.969 (65.976) Epoch: [7][3900/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.8527 (2.7657) Prec@1 39.844 (40.659) Prec@5 63.281 (65.976) Epoch: [7][3910/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.5974 (2.7657) Prec@1 43.750 (40.660) Prec@5 68.750 (65.977) Epoch: [7][3920/10010] Time 0.317 (0.333) Data 0.000 (0.001) Loss 2.7729 (2.7658) Prec@1 42.188 (40.658) Prec@5 63.281 (65.972) Epoch: [7][3930/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.9809 (2.7655) Prec@1 35.156 (40.664) Prec@5 61.719 (65.975) Epoch: [7][3940/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.5217 (2.7657) Prec@1 39.844 (40.659) Prec@5 74.219 (65.975) Epoch: [7][3950/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6697 (2.7656) Prec@1 35.156 (40.658) Prec@5 64.062 (65.977) Epoch: [7][3960/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 3.0086 (2.7658) Prec@1 32.031 (40.656) Prec@5 63.281 (65.975) Epoch: [7][3970/10010] Time 0.348 (0.333) Data 0.001 (0.001) Loss 2.6199 (2.7659) Prec@1 35.938 (40.659) Prec@5 67.188 (65.974) Epoch: [7][3980/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.6846 (2.7656) Prec@1 42.188 (40.665) Prec@5 67.969 (65.976) Epoch: [7][3990/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.6475 (2.7657) Prec@1 42.188 (40.661) Prec@5 70.312 (65.978) Epoch: [7][4000/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7795 (2.7656) Prec@1 43.750 (40.662) Prec@5 66.406 (65.982) Epoch: [7][4010/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.6966 (2.7657) Prec@1 40.625 (40.663) Prec@5 64.062 (65.979) Epoch: [7][4020/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 3.0352 (2.7656) Prec@1 40.625 (40.665) Prec@5 64.844 (65.978) Epoch: [7][4030/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.8754 (2.7655) Prec@1 39.062 (40.667) Prec@5 67.188 (65.982) Epoch: [7][4040/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.5330 (2.7653) Prec@1 41.406 (40.666) Prec@5 67.969 (65.985) Epoch: [7][4050/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.8160 (2.7654) Prec@1 42.188 (40.664) Prec@5 64.844 (65.984) Epoch: [7][4060/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.9897 (2.7655) Prec@1 34.375 (40.659) Prec@5 62.500 (65.983) Epoch: [7][4070/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.4040 (2.7655) Prec@1 41.406 (40.658) Prec@5 75.000 (65.986) Epoch: [7][4080/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 3.1870 (2.7656) Prec@1 37.500 (40.660) Prec@5 60.156 (65.983) Epoch: [7][4090/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.6996 (2.7653) Prec@1 42.969 (40.664) Prec@5 70.312 (65.986) Epoch: [7][4100/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 3.1690 (2.7654) Prec@1 32.031 (40.663) Prec@5 57.812 (65.987) Epoch: [7][4110/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 3.2070 (2.7657) Prec@1 33.594 (40.658) Prec@5 59.375 (65.985) Epoch: [7][4120/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.8540 (2.7658) Prec@1 39.844 (40.656) Prec@5 62.500 (65.983) Epoch: [7][4130/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.5924 (2.7658) Prec@1 44.531 (40.657) Prec@5 64.844 (65.984) Epoch: [7][4140/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.5696 (2.7655) Prec@1 46.875 (40.662) Prec@5 67.188 (65.986) Epoch: [7][4150/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.6767 (2.7655) Prec@1 46.875 (40.667) Prec@5 67.969 (65.988) Epoch: [7][4160/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.5541 (2.7653) Prec@1 42.969 (40.669) Prec@5 67.969 (65.991) Epoch: [7][4170/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 3.0421 (2.7653) Prec@1 42.188 (40.666) Prec@5 60.156 (65.992) Epoch: [7][4180/10010] Time 0.354 (0.333) Data 0.002 (0.001) Loss 2.9242 (2.7655) Prec@1 41.406 (40.666) Prec@5 62.500 (65.991) Epoch: [7][4190/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.7815 (2.7653) Prec@1 38.281 (40.672) Prec@5 66.406 (65.997) Epoch: [7][4200/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.5340 (2.7654) Prec@1 45.312 (40.669) Prec@5 71.875 (65.993) Epoch: [7][4210/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 3.1900 (2.7655) Prec@1 35.156 (40.667) Prec@5 65.625 (65.994) Epoch: [7][4220/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.7668 (2.7655) Prec@1 39.844 (40.665) Prec@5 64.844 (65.992) Epoch: [7][4230/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.6253 (2.7654) Prec@1 40.625 (40.665) Prec@5 72.656 (65.994) Epoch: [7][4240/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.4300 (2.7651) Prec@1 50.000 (40.671) Prec@5 75.781 (66.000) Epoch: [7][4250/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.8643 (2.7651) Prec@1 40.625 (40.669) Prec@5 67.188 (66.002) Epoch: [7][4260/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.5033 (2.7654) Prec@1 39.844 (40.662) Prec@5 72.656 (66.000) Epoch: [7][4270/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.8028 (2.7655) Prec@1 42.969 (40.666) Prec@5 64.062 (65.998) Epoch: [7][4280/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.8090 (2.7656) Prec@1 41.406 (40.664) Prec@5 70.312 (65.999) Epoch: [7][4290/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.2147 (2.7654) Prec@1 50.781 (40.667) Prec@5 75.000 (66.004) Epoch: [7][4300/10010] Time 0.347 (0.333) Data 0.000 (0.001) Loss 2.7518 (2.7654) Prec@1 44.531 (40.671) Prec@5 68.750 (66.005) Epoch: [7][4310/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.8866 (2.7655) Prec@1 42.969 (40.676) Prec@5 67.969 (66.005) Epoch: [7][4320/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 3.1850 (2.7656) Prec@1 36.719 (40.677) Prec@5 61.719 (66.004) Epoch: [7][4330/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.6201 (2.7654) Prec@1 45.312 (40.679) Prec@5 66.406 (66.006) Epoch: [7][4340/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.6494 (2.7655) Prec@1 45.312 (40.681) Prec@5 65.625 (66.004) Epoch: [7][4350/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.5883 (2.7655) Prec@1 44.531 (40.682) Prec@5 67.969 (66.006) Epoch: [7][4360/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.9239 (2.7655) Prec@1 36.719 (40.684) Prec@5 63.281 (66.006) Epoch: [7][4370/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.7323 (2.7658) Prec@1 40.625 (40.678) Prec@5 64.844 (66.001) Epoch: [7][4380/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 2.4201 (2.7659) Prec@1 45.312 (40.678) Prec@5 71.094 (65.996) Epoch: [7][4390/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 3.2351 (2.7663) Prec@1 38.281 (40.674) Prec@5 57.812 (65.990) Epoch: [7][4400/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.4386 (2.7659) Prec@1 46.094 (40.683) Prec@5 71.094 (65.995) Epoch: [7][4410/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.3663 (2.7658) Prec@1 43.750 (40.683) Prec@5 75.000 (65.999) Epoch: [7][4420/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.7915 (2.7656) Prec@1 39.062 (40.685) Prec@5 67.188 (66.000) Epoch: [7][4430/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.8932 (2.7657) Prec@1 39.062 (40.685) Prec@5 66.406 (65.998) Epoch: [7][4440/10010] Time 0.341 (0.333) Data 0.002 (0.001) Loss 2.8248 (2.7655) Prec@1 39.062 (40.689) Prec@5 64.844 (66.003) Epoch: [7][4450/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 3.3191 (2.7657) Prec@1 32.031 (40.687) Prec@5 57.031 (66.000) Epoch: [7][4460/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 3.0024 (2.7659) Prec@1 39.844 (40.685) Prec@5 61.719 (66.000) Epoch: [7][4470/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.7205 (2.7659) Prec@1 41.406 (40.685) Prec@5 64.844 (65.999) Epoch: [7][4480/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.4540 (2.7658) Prec@1 50.781 (40.690) Prec@5 71.875 (66.000) Epoch: [7][4490/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 3.1826 (2.7658) Prec@1 33.594 (40.689) Prec@5 58.594 (66.003) Epoch: [7][4500/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.7640 (2.7658) Prec@1 41.406 (40.685) Prec@5 67.969 (66.006) Epoch: [7][4510/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.8471 (2.7655) Prec@1 42.188 (40.692) Prec@5 63.281 (66.012) Epoch: [7][4520/10010] Time 0.349 (0.333) Data 0.001 (0.001) Loss 2.9324 (2.7654) Prec@1 35.156 (40.689) Prec@5 64.844 (66.011) Epoch: [7][4530/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.5921 (2.7655) Prec@1 42.188 (40.690) Prec@5 67.969 (66.010) Epoch: [7][4540/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7440 (2.7658) Prec@1 39.062 (40.685) Prec@5 67.969 (66.006) Epoch: [7][4550/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.4703 (2.7657) Prec@1 41.406 (40.688) Prec@5 67.188 (66.005) Epoch: [7][4560/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 3.1582 (2.7659) Prec@1 33.594 (40.682) Prec@5 59.375 (65.999) Epoch: [7][4570/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.8716 (2.7657) Prec@1 36.719 (40.685) Prec@5 64.844 (66.002) Epoch: [7][4580/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.9366 (2.7655) Prec@1 36.719 (40.683) Prec@5 60.938 (66.001) Epoch: [7][4590/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 3.2912 (2.7657) Prec@1 32.812 (40.682) Prec@5 54.688 (65.998) Epoch: [7][4600/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.9500 (2.7658) Prec@1 41.406 (40.680) Prec@5 64.062 (65.997) Epoch: [7][4610/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 2.8478 (2.7659) Prec@1 38.281 (40.681) Prec@5 66.406 (65.997) Epoch: [7][4620/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 2.7585 (2.7659) Prec@1 43.750 (40.680) Prec@5 65.625 (65.994) Epoch: [7][4630/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6747 (2.7658) Prec@1 39.062 (40.679) Prec@5 67.969 (65.996) Epoch: [7][4640/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.9631 (2.7657) Prec@1 37.500 (40.682) Prec@5 64.062 (65.995) Epoch: [7][4650/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6050 (2.7655) Prec@1 39.062 (40.683) Prec@5 70.312 (65.996) Epoch: [7][4660/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.7684 (2.7656) Prec@1 37.500 (40.681) Prec@5 60.156 (65.994) Epoch: [7][4670/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 3.1301 (2.7656) Prec@1 34.375 (40.681) Prec@5 61.719 (65.993) Epoch: [7][4680/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.9067 (2.7660) Prec@1 42.188 (40.675) Prec@5 62.500 (65.984) Epoch: [7][4690/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.9245 (2.7658) Prec@1 37.500 (40.678) Prec@5 68.750 (65.992) Epoch: [7][4700/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.5948 (2.7660) Prec@1 43.750 (40.673) Prec@5 73.438 (65.987) Epoch: [7][4710/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.5875 (2.7660) Prec@1 44.531 (40.674) Prec@5 67.188 (65.986) Epoch: [7][4720/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.9984 (2.7660) Prec@1 37.500 (40.674) Prec@5 62.500 (65.985) Epoch: [7][4730/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.7786 (2.7662) Prec@1 40.625 (40.669) Prec@5 66.406 (65.981) Epoch: [7][4740/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.8254 (2.7662) Prec@1 39.062 (40.672) Prec@5 63.281 (65.981) Epoch: [7][4750/10010] Time 0.351 (0.333) Data 0.001 (0.001) Loss 2.6245 (2.7662) Prec@1 43.750 (40.668) Prec@5 70.312 (65.978) Epoch: [7][4760/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.5257 (2.7665) Prec@1 42.969 (40.665) Prec@5 69.531 (65.973) Epoch: [7][4770/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.5184 (2.7664) Prec@1 46.094 (40.664) Prec@5 70.312 (65.977) Epoch: [7][4780/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 3.1862 (2.7665) Prec@1 35.156 (40.660) Prec@5 60.938 (65.974) Epoch: [7][4790/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.6931 (2.7663) Prec@1 39.844 (40.662) Prec@5 64.844 (65.976) Epoch: [7][4800/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.8058 (2.7664) Prec@1 37.500 (40.662) Prec@5 66.406 (65.975) Epoch: [7][4810/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.5522 (2.7663) Prec@1 39.062 (40.664) Prec@5 67.969 (65.975) Epoch: [7][4820/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.5519 (2.7663) Prec@1 42.969 (40.662) Prec@5 67.969 (65.974) Epoch: [7][4830/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.7514 (2.7664) Prec@1 38.281 (40.655) Prec@5 64.844 (65.973) Epoch: [7][4840/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.5861 (2.7665) Prec@1 41.406 (40.650) Prec@5 67.969 (65.971) Epoch: [7][4850/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7606 (2.7667) Prec@1 45.312 (40.647) Prec@5 67.188 (65.967) Epoch: [7][4860/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.8897 (2.7669) Prec@1 41.406 (40.646) Prec@5 66.406 (65.964) Epoch: [7][4870/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.7230 (2.7671) Prec@1 42.188 (40.643) Prec@5 66.406 (65.960) Epoch: [7][4880/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 3.0808 (2.7671) Prec@1 35.156 (40.646) Prec@5 57.031 (65.960) Epoch: [7][4890/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.6491 (2.7669) Prec@1 40.625 (40.648) Prec@5 67.969 (65.963) Epoch: [7][4900/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.7424 (2.7669) Prec@1 38.281 (40.648) Prec@5 66.406 (65.961) Epoch: [7][4910/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.7458 (2.7668) Prec@1 40.625 (40.648) Prec@5 67.188 (65.964) Epoch: [7][4920/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.9258 (2.7670) Prec@1 36.719 (40.644) Prec@5 60.938 (65.959) Epoch: [7][4930/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.9464 (2.7671) Prec@1 35.938 (40.645) Prec@5 66.406 (65.959) Epoch: [7][4940/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.8365 (2.7671) Prec@1 35.156 (40.644) Prec@5 66.406 (65.959) Epoch: [7][4950/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.7965 (2.7674) Prec@1 41.406 (40.637) Prec@5 67.188 (65.957) Epoch: [7][4960/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.6885 (2.7674) Prec@1 44.531 (40.637) Prec@5 67.188 (65.957) Epoch: [7][4970/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.7235 (2.7673) Prec@1 45.312 (40.636) Prec@5 64.062 (65.959) Epoch: [7][4980/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.7364 (2.7676) Prec@1 35.938 (40.634) Prec@5 64.062 (65.954) Epoch: [7][4990/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6516 (2.7677) Prec@1 37.500 (40.631) Prec@5 66.406 (65.952) Epoch: [7][5000/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.7245 (2.7678) Prec@1 39.062 (40.628) Prec@5 67.969 (65.951) Epoch: [7][5010/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.7378 (2.7678) Prec@1 39.844 (40.633) Prec@5 70.312 (65.952) Epoch: [7][5020/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.4058 (2.7676) Prec@1 42.969 (40.637) Prec@5 69.531 (65.954) Epoch: [7][5030/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6525 (2.7675) Prec@1 39.062 (40.636) Prec@5 68.750 (65.955) Epoch: [7][5040/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 3.2370 (2.7676) Prec@1 31.250 (40.633) Prec@5 59.375 (65.952) Epoch: [7][5050/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6355 (2.7676) Prec@1 39.062 (40.634) Prec@5 69.531 (65.952) Epoch: [7][5060/10010] Time 0.317 (0.333) Data 0.000 (0.001) Loss 2.7312 (2.7677) Prec@1 32.812 (40.628) Prec@5 68.750 (65.952) Epoch: [7][5070/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.5474 (2.7676) Prec@1 50.781 (40.627) Prec@5 68.750 (65.956) Epoch: [7][5080/10010] Time 0.348 (0.333) Data 0.001 (0.001) Loss 2.7849 (2.7675) Prec@1 42.969 (40.627) Prec@5 63.281 (65.955) Epoch: [7][5090/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 3.1124 (2.7676) Prec@1 39.844 (40.626) Prec@5 60.938 (65.955) Epoch: [7][5100/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 3.0494 (2.7678) Prec@1 35.938 (40.621) Prec@5 60.938 (65.953) Epoch: [7][5110/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.8825 (2.7677) Prec@1 35.156 (40.624) Prec@5 62.500 (65.953) Epoch: [7][5120/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 3.0747 (2.7677) Prec@1 34.375 (40.625) Prec@5 65.625 (65.952) Epoch: [7][5130/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.8986 (2.7677) Prec@1 35.156 (40.623) Prec@5 62.500 (65.951) Epoch: [7][5140/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.8183 (2.7676) Prec@1 39.844 (40.625) Prec@5 68.750 (65.955) Epoch: [7][5150/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.7227 (2.7675) Prec@1 40.625 (40.626) Prec@5 60.938 (65.952) Epoch: [7][5160/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6330 (2.7676) Prec@1 41.406 (40.625) Prec@5 67.969 (65.953) Epoch: [7][5170/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.8953 (2.7678) Prec@1 39.844 (40.621) Prec@5 61.719 (65.947) Epoch: [7][5180/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 3.0191 (2.7676) Prec@1 37.500 (40.620) Prec@5 62.500 (65.951) Epoch: [7][5190/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.6549 (2.7676) Prec@1 41.406 (40.619) Prec@5 66.406 (65.950) Epoch: [7][5200/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.7582 (2.7677) Prec@1 40.625 (40.616) Prec@5 69.531 (65.949) Epoch: [7][5210/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.6002 (2.7679) Prec@1 42.188 (40.613) Prec@5 69.531 (65.946) Epoch: [7][5220/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.7771 (2.7677) Prec@1 45.312 (40.617) Prec@5 67.969 (65.949) Epoch: [7][5230/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.7083 (2.7677) Prec@1 39.062 (40.614) Prec@5 63.281 (65.950) Epoch: [7][5240/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.6549 (2.7676) Prec@1 47.656 (40.617) Prec@5 65.625 (65.951) Epoch: [7][5250/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 2.5094 (2.7675) Prec@1 46.094 (40.619) Prec@5 71.094 (65.953) Epoch: [7][5260/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.8540 (2.7674) Prec@1 39.062 (40.620) Prec@5 64.844 (65.953) Epoch: [7][5270/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 3.1879 (2.7675) Prec@1 27.344 (40.618) Prec@5 59.375 (65.952) Epoch: [7][5280/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.4821 (2.7676) Prec@1 41.406 (40.615) Prec@5 71.094 (65.952) Epoch: [7][5290/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.4902 (2.7676) Prec@1 41.406 (40.616) Prec@5 72.656 (65.952) Epoch: [7][5300/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 3.0922 (2.7678) Prec@1 37.500 (40.616) Prec@5 60.938 (65.949) Epoch: [7][5310/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.9974 (2.7678) Prec@1 41.406 (40.617) Prec@5 63.281 (65.947) Epoch: [7][5320/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.8725 (2.7680) Prec@1 41.406 (40.615) Prec@5 60.938 (65.943) Epoch: [7][5330/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.8460 (2.7681) Prec@1 35.156 (40.615) Prec@5 62.500 (65.943) Epoch: [7][5340/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.9072 (2.7680) Prec@1 38.281 (40.615) Prec@5 62.500 (65.942) Epoch: [7][5350/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 3.1131 (2.7681) Prec@1 35.938 (40.614) Prec@5 58.594 (65.942) Epoch: [7][5360/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.8113 (2.7682) Prec@1 38.281 (40.613) Prec@5 68.750 (65.942) Epoch: [7][5370/10010] Time 0.347 (0.333) Data 0.002 (0.001) Loss 2.8146 (2.7683) Prec@1 43.750 (40.613) Prec@5 67.188 (65.940) Epoch: [7][5380/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.8862 (2.7681) Prec@1 37.500 (40.614) Prec@5 60.938 (65.940) Epoch: [7][5390/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.9791 (2.7684) Prec@1 29.688 (40.605) Prec@5 64.844 (65.933) Epoch: [7][5400/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.5862 (2.7683) Prec@1 44.531 (40.608) Prec@5 66.406 (65.934) /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: [7][5410/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.4650 (2.7681) Prec@1 51.562 (40.613) Prec@5 70.312 (65.938) Epoch: [7][5420/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.9515 (2.7682) Prec@1 39.062 (40.609) Prec@5 62.500 (65.935) Epoch: [7][5430/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.9434 (2.7682) Prec@1 36.719 (40.607) Prec@5 67.188 (65.935) Epoch: [7][5440/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.7262 (2.7683) Prec@1 39.844 (40.606) Prec@5 67.188 (65.931) Epoch: [7][5450/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6761 (2.7682) Prec@1 40.625 (40.607) Prec@5 67.969 (65.933) Epoch: [7][5460/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 3.0461 (2.7685) Prec@1 35.938 (40.603) Prec@5 61.719 (65.927) Epoch: [7][5470/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 3.1158 (2.7688) Prec@1 40.625 (40.601) Prec@5 62.500 (65.922) Epoch: [7][5480/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 3.0406 (2.7689) Prec@1 35.156 (40.599) Prec@5 58.594 (65.920) Epoch: [7][5490/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 3.1597 (2.7692) Prec@1 33.594 (40.594) Prec@5 60.938 (65.915) Epoch: [7][5500/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.8956 (2.7694) Prec@1 42.188 (40.592) Prec@5 62.500 (65.913) Epoch: [7][5510/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.9670 (2.7692) Prec@1 41.406 (40.594) Prec@5 61.719 (65.915) Epoch: [7][5520/10010] Time 0.316 (0.333) Data 0.000 (0.001) Loss 3.1467 (2.7689) Prec@1 34.375 (40.598) Prec@5 60.938 (65.918) Epoch: [7][5530/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.8494 (2.7691) Prec@1 36.719 (40.597) Prec@5 64.062 (65.918) Epoch: [7][5540/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 3.1242 (2.7692) Prec@1 34.375 (40.592) Prec@5 57.812 (65.916) Epoch: [7][5550/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.6924 (2.7692) Prec@1 37.500 (40.594) Prec@5 67.969 (65.917) Epoch: [7][5560/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 3.0013 (2.7694) Prec@1 35.156 (40.591) Prec@5 64.062 (65.911) Epoch: [7][5570/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.8096 (2.7695) Prec@1 41.406 (40.589) Prec@5 65.625 (65.912) Epoch: [7][5580/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.8021 (2.7695) Prec@1 39.844 (40.591) Prec@5 60.938 (65.912) Epoch: [7][5590/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.7555 (2.7696) Prec@1 37.500 (40.590) Prec@5 65.625 (65.909) Epoch: [7][5600/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 2.8512 (2.7695) Prec@1 42.969 (40.589) Prec@5 63.281 (65.912) Epoch: [7][5610/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 3.1838 (2.7696) Prec@1 32.812 (40.588) Prec@5 54.688 (65.907) Epoch: [7][5620/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.8160 (2.7697) Prec@1 46.094 (40.587) Prec@5 64.844 (65.908) Epoch: [7][5630/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.3980 (2.7699) Prec@1 50.000 (40.586) Prec@5 68.750 (65.905) Epoch: [7][5640/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.6398 (2.7697) Prec@1 45.312 (40.589) Prec@5 70.312 (65.909) Epoch: [7][5650/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 3.0691 (2.7697) Prec@1 35.156 (40.586) Prec@5 64.844 (65.909) Epoch: [7][5660/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.4217 (2.7696) Prec@1 48.438 (40.588) Prec@5 69.531 (65.911) Epoch: [7][5670/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.5751 (2.7694) Prec@1 48.438 (40.592) Prec@5 70.312 (65.909) Epoch: [7][5680/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 3.0288 (2.7695) Prec@1 43.750 (40.592) Prec@5 60.156 (65.907) Epoch: [7][5690/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.8124 (2.7694) Prec@1 35.938 (40.591) Prec@5 60.938 (65.907) Epoch: [7][5700/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.9946 (2.7697) Prec@1 35.938 (40.587) Prec@5 60.156 (65.902) Epoch: [7][5710/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.6542 (2.7695) Prec@1 42.969 (40.590) Prec@5 67.969 (65.904) Epoch: [7][5720/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.9627 (2.7694) Prec@1 38.281 (40.589) Prec@5 67.188 (65.905) Epoch: [7][5730/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 2.7640 (2.7696) Prec@1 40.625 (40.585) Prec@5 64.062 (65.903) Epoch: [7][5740/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.6493 (2.7697) Prec@1 40.625 (40.582) Prec@5 69.531 (65.906) Epoch: [7][5750/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.9396 (2.7699) Prec@1 50.000 (40.581) Prec@5 64.062 (65.901) Epoch: [7][5760/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.7878 (2.7698) Prec@1 44.531 (40.580) Prec@5 67.969 (65.901) Epoch: [7][5770/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 3.1534 (2.7697) Prec@1 39.062 (40.581) Prec@5 60.156 (65.904) Epoch: [7][5780/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.6179 (2.7697) Prec@1 44.531 (40.580) Prec@5 71.875 (65.905) Epoch: [7][5790/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.6870 (2.7696) Prec@1 42.188 (40.579) Prec@5 64.844 (65.903) Epoch: [7][5800/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 3.0007 (2.7694) Prec@1 39.062 (40.584) Prec@5 64.844 (65.908) Epoch: [7][5810/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.4357 (2.7694) Prec@1 46.875 (40.586) Prec@5 70.312 (65.908) Epoch: [7][5820/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 3.0029 (2.7693) Prec@1 42.188 (40.587) Prec@5 60.938 (65.905) Epoch: [7][5830/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.6985 (2.7694) Prec@1 43.750 (40.588) Prec@5 67.969 (65.904) Epoch: [7][5840/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 2.9952 (2.7696) Prec@1 35.938 (40.582) Prec@5 62.500 (65.902) Epoch: [7][5850/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.8397 (2.7696) Prec@1 40.625 (40.582) Prec@5 67.969 (65.904) Epoch: [7][5860/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 3.2322 (2.7696) Prec@1 39.844 (40.584) Prec@5 58.594 (65.903) Epoch: [7][5870/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.8088 (2.7696) Prec@1 37.500 (40.582) Prec@5 67.188 (65.907) Epoch: [7][5880/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.9805 (2.7697) Prec@1 35.156 (40.578) Prec@5 60.938 (65.904) Epoch: [7][5890/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.6422 (2.7696) Prec@1 39.844 (40.579) Prec@5 67.969 (65.903) Epoch: [7][5900/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.8783 (2.7695) Prec@1 36.719 (40.577) Prec@5 65.625 (65.906) Epoch: [7][5910/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.6644 (2.7694) Prec@1 39.062 (40.577) Prec@5 69.531 (65.907) Epoch: [7][5920/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.5549 (2.7694) Prec@1 45.312 (40.578) Prec@5 73.438 (65.908) Epoch: [7][5930/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.7680 (2.7694) Prec@1 40.625 (40.577) Prec@5 68.750 (65.908) Epoch: [7][5940/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.6267 (2.7695) Prec@1 43.750 (40.575) Prec@5 67.969 (65.904) Epoch: [7][5950/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.4000 (2.7694) Prec@1 48.438 (40.573) Prec@5 68.750 (65.904) Epoch: [7][5960/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.7774 (2.7695) Prec@1 44.531 (40.572) Prec@5 67.188 (65.905) Epoch: [7][5970/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.8140 (2.7694) Prec@1 43.750 (40.573) Prec@5 64.844 (65.904) Epoch: [7][5980/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.8013 (2.7694) Prec@1 42.969 (40.576) Prec@5 63.281 (65.903) Epoch: [7][5990/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.2369 (2.7694) Prec@1 51.562 (40.579) Prec@5 76.562 (65.904) Epoch: [7][6000/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.7743 (2.7693) Prec@1 39.062 (40.581) Prec@5 65.625 (65.906) Epoch: [7][6010/10010] Time 0.349 (0.333) Data 0.000 (0.001) Loss 2.6260 (2.7693) Prec@1 41.406 (40.582) Prec@5 68.750 (65.906) Epoch: [7][6020/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.7144 (2.7693) Prec@1 45.312 (40.581) Prec@5 64.062 (65.904) Epoch: [7][6030/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.6463 (2.7694) Prec@1 46.094 (40.579) Prec@5 70.312 (65.903) Epoch: [7][6040/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 2.9436 (2.7696) Prec@1 33.594 (40.573) Prec@5 64.062 (65.900) Epoch: [7][6050/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.9709 (2.7698) Prec@1 35.156 (40.570) Prec@5 67.188 (65.898) Epoch: [7][6060/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 3.0993 (2.7698) Prec@1 34.375 (40.570) Prec@5 57.812 (65.897) Epoch: [7][6070/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.5057 (2.7698) Prec@1 39.844 (40.569) Prec@5 67.188 (65.898) Epoch: [7][6080/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.5323 (2.7696) Prec@1 42.969 (40.571) Prec@5 69.531 (65.903) Epoch: [7][6090/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.9187 (2.7698) Prec@1 40.625 (40.567) Prec@5 66.406 (65.898) Epoch: [7][6100/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.5876 (2.7697) Prec@1 43.750 (40.568) Prec@5 67.969 (65.901) Epoch: [7][6110/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.8276 (2.7697) Prec@1 35.938 (40.568) Prec@5 68.750 (65.902) Epoch: [7][6120/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7898 (2.7699) Prec@1 39.062 (40.567) Prec@5 69.531 (65.902) Epoch: [7][6130/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.9114 (2.7700) Prec@1 39.062 (40.565) Prec@5 63.281 (65.900) Epoch: [7][6140/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7202 (2.7699) Prec@1 42.969 (40.565) Prec@5 62.500 (65.901) Epoch: [7][6150/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.4427 (2.7699) Prec@1 48.438 (40.565) Prec@5 71.094 (65.902) Epoch: [7][6160/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 3.1112 (2.7698) Prec@1 39.062 (40.568) Prec@5 58.594 (65.903) Epoch: [7][6170/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.9601 (2.7698) Prec@1 37.500 (40.568) Prec@5 66.406 (65.902) Epoch: [7][6180/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.8087 (2.7698) Prec@1 40.625 (40.569) Prec@5 66.406 (65.903) Epoch: [7][6190/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.6437 (2.7698) Prec@1 43.750 (40.570) Prec@5 70.312 (65.905) Epoch: [7][6200/10010] Time 0.314 (0.333) Data 0.001 (0.001) Loss 2.8342 (2.7698) Prec@1 41.406 (40.568) Prec@5 63.281 (65.903) Epoch: [7][6210/10010] Time 0.313 (0.333) Data 0.000 (0.001) Loss 3.0843 (2.7698) Prec@1 36.719 (40.567) Prec@5 58.594 (65.903) Epoch: [7][6220/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7365 (2.7701) Prec@1 42.969 (40.565) Prec@5 67.188 (65.902) Epoch: [7][6230/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 2.6721 (2.7702) Prec@1 43.750 (40.564) Prec@5 64.844 (65.899) Epoch: [7][6240/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 3.1235 (2.7703) Prec@1 33.594 (40.563) Prec@5 64.062 (65.897) Epoch: [7][6250/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 3.2488 (2.7704) Prec@1 33.594 (40.561) Prec@5 59.375 (65.895) Epoch: [7][6260/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.2217 (2.7704) Prec@1 49.219 (40.561) Prec@5 72.656 (65.893) Epoch: [7][6270/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.7187 (2.7704) Prec@1 35.938 (40.561) Prec@5 64.062 (65.891) Epoch: [7][6280/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 3.0907 (2.7705) Prec@1 35.938 (40.560) Prec@5 64.062 (65.889) Epoch: [7][6290/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.7760 (2.7705) Prec@1 39.844 (40.558) Prec@5 66.406 (65.888) Epoch: [7][6300/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.8006 (2.7705) Prec@1 37.500 (40.558) Prec@5 72.656 (65.890) Epoch: [7][6310/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.7848 (2.7705) Prec@1 35.156 (40.559) Prec@5 64.844 (65.891) Epoch: [7][6320/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.7289 (2.7704) Prec@1 45.312 (40.558) Prec@5 67.969 (65.889) Epoch: [7][6330/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.9003 (2.7705) Prec@1 39.844 (40.555) Prec@5 64.844 (65.887) Epoch: [7][6340/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.6480 (2.7705) Prec@1 39.844 (40.556) Prec@5 67.969 (65.888) Epoch: [7][6350/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 3.0439 (2.7704) Prec@1 34.375 (40.554) Prec@5 60.938 (65.888) Epoch: [7][6360/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.8425 (2.7704) Prec@1 39.844 (40.551) Prec@5 64.844 (65.888) Epoch: [7][6370/10010] Time 0.352 (0.333) Data 0.001 (0.001) Loss 2.7939 (2.7702) Prec@1 38.281 (40.556) Prec@5 58.594 (65.890) Epoch: [7][6380/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7481 (2.7701) Prec@1 38.281 (40.560) Prec@5 65.625 (65.893) Epoch: [7][6390/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.6794 (2.7702) Prec@1 42.188 (40.561) Prec@5 69.531 (65.891) Epoch: [7][6400/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6679 (2.7702) Prec@1 43.750 (40.560) Prec@5 67.969 (65.893) Epoch: [7][6410/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.8064 (2.7701) Prec@1 41.406 (40.559) Prec@5 65.625 (65.894) Epoch: [7][6420/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.6421 (2.7700) Prec@1 38.281 (40.557) Prec@5 67.188 (65.895) Epoch: [7][6430/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.4864 (2.7700) Prec@1 43.750 (40.559) Prec@5 70.312 (65.896) Epoch: [7][6440/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.7504 (2.7700) Prec@1 39.844 (40.561) Prec@5 65.625 (65.895) Epoch: [7][6450/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.7445 (2.7700) Prec@1 41.406 (40.561) Prec@5 63.281 (65.895) Epoch: [7][6460/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.8592 (2.7700) Prec@1 41.406 (40.560) Prec@5 66.406 (65.893) Epoch: [7][6470/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 3.0458 (2.7700) Prec@1 39.844 (40.557) Prec@5 60.156 (65.891) Epoch: [7][6480/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.5182 (2.7701) Prec@1 43.750 (40.555) Prec@5 71.094 (65.889) Epoch: [7][6490/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.8385 (2.7701) Prec@1 49.219 (40.558) Prec@5 60.938 (65.890) Epoch: [7][6500/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.6465 (2.7702) Prec@1 34.375 (40.554) Prec@5 67.969 (65.887) Epoch: [7][6510/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 2.7543 (2.7701) Prec@1 41.406 (40.555) Prec@5 67.188 (65.889) Epoch: [7][6520/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 3.0221 (2.7702) Prec@1 35.156 (40.554) Prec@5 61.719 (65.889) Epoch: [7][6530/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 3.0452 (2.7703) Prec@1 32.812 (40.554) Prec@5 61.719 (65.887) Epoch: [7][6540/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.5022 (2.7702) Prec@1 47.656 (40.558) Prec@5 67.188 (65.889) Epoch: [7][6550/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 3.1600 (2.7703) Prec@1 35.156 (40.556) Prec@5 60.156 (65.886) Epoch: [7][6560/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.6164 (2.7705) Prec@1 42.188 (40.554) Prec@5 68.750 (65.882) Epoch: [7][6570/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.8174 (2.7707) Prec@1 38.281 (40.551) Prec@5 67.188 (65.878) Epoch: [7][6580/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.8588 (2.7707) Prec@1 36.719 (40.555) Prec@5 63.281 (65.879) Epoch: [7][6590/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.9254 (2.7708) Prec@1 38.281 (40.554) Prec@5 66.406 (65.877) Epoch: [7][6600/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.2841 (2.7707) Prec@1 53.125 (40.555) Prec@5 76.562 (65.879) Epoch: [7][6610/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.7322 (2.7707) Prec@1 37.500 (40.555) Prec@5 70.312 (65.879) Epoch: [7][6620/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 3.1571 (2.7706) Prec@1 32.812 (40.556) Prec@5 60.156 (65.879) Epoch: [7][6630/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.4610 (2.7707) Prec@1 43.750 (40.557) Prec@5 68.750 (65.878) Epoch: [7][6640/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.6486 (2.7706) Prec@1 42.969 (40.558) Prec@5 68.750 (65.878) Epoch: [7][6650/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 3.0210 (2.7706) Prec@1 38.281 (40.559) Prec@5 58.594 (65.875) Epoch: [7][6660/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7714 (2.7706) Prec@1 39.844 (40.560) Prec@5 63.281 (65.876) Epoch: [7][6670/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.4624 (2.7705) Prec@1 42.188 (40.561) Prec@5 68.750 (65.876) Epoch: [7][6680/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 3.1933 (2.7706) Prec@1 23.438 (40.557) Prec@5 57.031 (65.875) Epoch: [7][6690/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.9270 (2.7707) Prec@1 33.594 (40.558) Prec@5 65.625 (65.874) Epoch: [7][6700/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.5129 (2.7707) Prec@1 47.656 (40.557) Prec@5 72.656 (65.873) Epoch: [7][6710/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.6366 (2.7706) Prec@1 43.750 (40.558) Prec@5 67.188 (65.875) Epoch: [7][6720/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 3.0102 (2.7708) Prec@1 32.031 (40.555) Prec@5 64.062 (65.872) Epoch: [7][6730/10010] Time 0.349 (0.333) Data 0.001 (0.001) Loss 2.8888 (2.7708) Prec@1 32.812 (40.553) Prec@5 60.938 (65.871) Epoch: [7][6740/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.9155 (2.7710) Prec@1 45.312 (40.553) Prec@5 67.969 (65.870) Epoch: [7][6750/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.7875 (2.7710) Prec@1 37.500 (40.551) Prec@5 66.406 (65.868) Epoch: [7][6760/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.9531 (2.7710) Prec@1 37.500 (40.551) Prec@5 64.844 (65.870) Epoch: [7][6770/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.8342 (2.7710) Prec@1 40.625 (40.553) Prec@5 63.281 (65.870) Epoch: [7][6780/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.5875 (2.7709) Prec@1 49.219 (40.552) Prec@5 71.875 (65.873) Epoch: [7][6790/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.9797 (2.7711) Prec@1 37.500 (40.551) Prec@5 63.281 (65.870) Epoch: [7][6800/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.9135 (2.7711) Prec@1 42.188 (40.550) Prec@5 64.062 (65.870) Epoch: [7][6810/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7394 (2.7710) Prec@1 42.188 (40.551) Prec@5 69.531 (65.870) Epoch: [7][6820/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.9617 (2.7713) Prec@1 38.281 (40.546) Prec@5 60.938 (65.866) Epoch: [7][6830/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7201 (2.7713) Prec@1 36.719 (40.543) Prec@5 67.188 (65.867) Epoch: [7][6840/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.7823 (2.7713) Prec@1 46.094 (40.541) Prec@5 66.406 (65.868) Epoch: [7][6850/10010] Time 0.349 (0.333) Data 0.001 (0.001) Loss 2.6458 (2.7712) Prec@1 35.156 (40.542) Prec@5 68.750 (65.867) Epoch: [7][6860/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.4395 (2.7713) Prec@1 46.875 (40.539) Prec@5 71.094 (65.865) Epoch: [7][6870/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.6093 (2.7710) Prec@1 37.500 (40.541) Prec@5 65.625 (65.869) Epoch: [7][6880/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.7146 (2.7710) Prec@1 35.156 (40.540) Prec@5 68.750 (65.870) Epoch: [7][6890/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.8689 (2.7709) Prec@1 46.875 (40.540) Prec@5 64.844 (65.870) Epoch: [7][6900/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.5247 (2.7710) Prec@1 42.188 (40.539) Prec@5 69.531 (65.868) Epoch: [7][6910/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.5113 (2.7710) Prec@1 42.188 (40.538) Prec@5 67.969 (65.865) Epoch: [7][6920/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.7928 (2.7710) Prec@1 42.969 (40.537) Prec@5 67.188 (65.865) Epoch: [7][6930/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.7051 (2.7710) Prec@1 39.062 (40.535) Prec@5 65.625 (65.867) Epoch: [7][6940/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 3.0897 (2.7710) Prec@1 35.156 (40.533) Prec@5 63.281 (65.866) Epoch: [7][6950/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.5024 (2.7709) Prec@1 45.312 (40.532) Prec@5 68.750 (65.867) Epoch: [7][6960/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 3.0822 (2.7710) Prec@1 35.938 (40.532) Prec@5 62.500 (65.863) Epoch: [7][6970/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.5666 (2.7711) Prec@1 46.094 (40.532) Prec@5 66.406 (65.862) Epoch: [7][6980/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.9803 (2.7713) Prec@1 36.719 (40.529) Prec@5 64.844 (65.861) Epoch: [7][6990/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.8295 (2.7712) Prec@1 37.500 (40.526) Prec@5 65.625 (65.860) Epoch: [7][7000/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.2556 (2.7711) Prec@1 50.000 (40.529) Prec@5 75.000 (65.862) Epoch: [7][7010/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 3.0136 (2.7713) Prec@1 35.938 (40.528) Prec@5 59.375 (65.861) Epoch: [7][7020/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.7735 (2.7712) Prec@1 39.062 (40.528) Prec@5 70.312 (65.865) Epoch: [7][7030/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.6235 (2.7712) Prec@1 48.438 (40.529) Prec@5 64.062 (65.864) Epoch: [7][7040/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.5695 (2.7713) Prec@1 42.188 (40.526) Prec@5 71.875 (65.863) Epoch: [7][7050/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.6351 (2.7711) Prec@1 40.625 (40.527) Prec@5 60.156 (65.863) Epoch: [7][7060/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.8096 (2.7711) Prec@1 39.062 (40.525) Prec@5 64.844 (65.864) Epoch: [7][7070/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.9276 (2.7711) Prec@1 37.500 (40.525) Prec@5 67.969 (65.866) Epoch: [7][7080/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.8099 (2.7713) Prec@1 42.188 (40.521) Prec@5 64.844 (65.864) Epoch: [7][7090/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 3.0728 (2.7712) Prec@1 40.625 (40.520) Prec@5 60.156 (65.864) Epoch: [7][7100/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 3.2807 (2.7714) Prec@1 30.469 (40.518) Prec@5 52.344 (65.861) Epoch: [7][7110/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.8772 (2.7715) Prec@1 39.844 (40.516) Prec@5 65.625 (65.858) Epoch: [7][7120/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.5559 (2.7716) Prec@1 37.500 (40.516) Prec@5 67.188 (65.857) Epoch: [7][7130/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 3.1189 (2.7715) Prec@1 34.375 (40.515) Prec@5 60.156 (65.857) Epoch: [7][7140/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.8856 (2.7715) Prec@1 37.500 (40.515) Prec@5 64.844 (65.856) Epoch: [7][7150/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.3156 (2.7715) Prec@1 44.531 (40.516) Prec@5 72.656 (65.858) Epoch: [7][7160/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.9454 (2.7716) Prec@1 33.594 (40.515) Prec@5 66.406 (65.855) Epoch: [7][7170/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.7298 (2.7716) Prec@1 42.188 (40.515) Prec@5 65.625 (65.856) Epoch: [7][7180/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.8463 (2.7717) Prec@1 42.188 (40.511) Prec@5 64.062 (65.855) Epoch: [7][7190/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.6062 (2.7716) Prec@1 44.531 (40.511) Prec@5 68.750 (65.856) Epoch: [7][7200/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.5593 (2.7718) Prec@1 44.531 (40.510) Prec@5 67.188 (65.851) Epoch: [7][7210/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 3.1577 (2.7718) Prec@1 37.500 (40.508) Prec@5 57.031 (65.851) Epoch: [7][7220/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 3.0002 (2.7718) Prec@1 38.281 (40.507) Prec@5 60.938 (65.851) Epoch: [7][7230/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.4979 (2.7716) Prec@1 44.531 (40.510) Prec@5 73.438 (65.854) Epoch: [7][7240/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.9014 (2.7716) Prec@1 35.938 (40.510) Prec@5 68.750 (65.856) Epoch: [7][7250/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.7839 (2.7716) Prec@1 35.938 (40.509) Prec@5 67.969 (65.855) Epoch: [7][7260/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.6464 (2.7717) Prec@1 42.969 (40.507) Prec@5 61.719 (65.854) Epoch: [7][7270/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.9177 (2.7716) Prec@1 38.281 (40.507) Prec@5 64.844 (65.854) Epoch: [7][7280/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.6387 (2.7715) Prec@1 45.312 (40.510) Prec@5 67.969 (65.858) Epoch: [7][7290/10010] Time 0.351 (0.333) Data 0.000 (0.001) Loss 3.2466 (2.7715) Prec@1 32.031 (40.508) Prec@5 57.031 (65.858) Epoch: [7][7300/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 3.1422 (2.7714) Prec@1 33.594 (40.508) Prec@5 59.375 (65.860) Epoch: [7][7310/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.4359 (2.7713) Prec@1 49.219 (40.507) Prec@5 73.438 (65.864) Epoch: [7][7320/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 3.0813 (2.7714) Prec@1 32.812 (40.504) Prec@5 63.281 (65.861) Epoch: [7][7330/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.7459 (2.7713) Prec@1 42.969 (40.505) Prec@5 67.969 (65.863) Epoch: [7][7340/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.7687 (2.7714) Prec@1 39.062 (40.503) Prec@5 66.406 (65.861) Epoch: [7][7350/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.7760 (2.7715) Prec@1 43.750 (40.502) Prec@5 67.969 (65.859) Epoch: [7][7360/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7215 (2.7715) Prec@1 42.969 (40.501) Prec@5 70.312 (65.859) Epoch: [7][7370/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.5727 (2.7715) Prec@1 41.406 (40.500) Prec@5 67.188 (65.856) Epoch: [7][7380/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 2.7915 (2.7715) Prec@1 39.062 (40.501) Prec@5 67.969 (65.859) Epoch: [7][7390/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 3.1456 (2.7715) Prec@1 31.250 (40.499) Prec@5 60.938 (65.859) Epoch: [7][7400/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.8494 (2.7715) Prec@1 37.500 (40.501) Prec@5 64.844 (65.860) Epoch: [7][7410/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.5925 (2.7713) Prec@1 37.500 (40.503) Prec@5 67.188 (65.862) Epoch: [7][7420/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.9001 (2.7714) Prec@1 37.500 (40.502) Prec@5 63.281 (65.861) Epoch: [7][7430/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.7966 (2.7714) Prec@1 32.031 (40.501) Prec@5 65.625 (65.860) Epoch: [7][7440/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.9633 (2.7713) Prec@1 38.281 (40.503) Prec@5 61.719 (65.861) Epoch: [7][7450/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 3.1432 (2.7714) Prec@1 32.812 (40.502) Prec@5 57.812 (65.858) Epoch: [7][7460/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.8364 (2.7715) Prec@1 37.500 (40.499) Prec@5 60.156 (65.857) Epoch: [7][7470/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.9418 (2.7714) Prec@1 33.594 (40.502) Prec@5 64.062 (65.860) Epoch: [7][7480/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.9001 (2.7714) Prec@1 39.062 (40.502) Prec@5 60.156 (65.858) Epoch: [7][7490/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.9263 (2.7714) Prec@1 39.062 (40.501) Prec@5 66.406 (65.858) Epoch: [7][7500/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.8422 (2.7715) Prec@1 39.844 (40.500) Prec@5 64.062 (65.857) Epoch: [7][7510/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 3.1109 (2.7714) Prec@1 34.375 (40.498) Prec@5 59.375 (65.860) Epoch: [7][7520/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.5851 (2.7714) Prec@1 44.531 (40.499) Prec@5 68.750 (65.859) Epoch: [7][7530/10010] Time 0.347 (0.333) Data 0.000 (0.001) Loss 2.7186 (2.7715) Prec@1 46.875 (40.501) Prec@5 63.281 (65.858) Epoch: [7][7540/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.7115 (2.7715) Prec@1 42.188 (40.503) Prec@5 68.750 (65.858) Epoch: [7][7550/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.9110 (2.7715) Prec@1 37.500 (40.504) Prec@5 64.062 (65.858) Epoch: [7][7560/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.7647 (2.7715) Prec@1 42.188 (40.503) Prec@5 66.406 (65.858) Epoch: [7][7570/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.8996 (2.7715) Prec@1 36.719 (40.505) Prec@5 65.625 (65.858) Epoch: [7][7580/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.7594 (2.7714) Prec@1 41.406 (40.506) Prec@5 67.969 (65.859) Epoch: [7][7590/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.4215 (2.7714) Prec@1 40.625 (40.504) Prec@5 74.219 (65.859) Epoch: [7][7600/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.3042 (2.7714) Prec@1 43.750 (40.501) Prec@5 71.094 (65.859) Epoch: [7][7610/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.2814 (2.7713) Prec@1 53.125 (40.504) Prec@5 74.219 (65.861) Epoch: [7][7620/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 3.1765 (2.7713) Prec@1 39.844 (40.506) Prec@5 58.594 (65.859) Epoch: [7][7630/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.4668 (2.7713) Prec@1 49.219 (40.504) Prec@5 72.656 (65.858) Epoch: [7][7640/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7523 (2.7715) Prec@1 46.094 (40.501) Prec@5 64.844 (65.855) Epoch: [7][7650/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.9140 (2.7713) Prec@1 34.375 (40.503) Prec@5 67.188 (65.859) Epoch: [7][7660/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.4663 (2.7711) Prec@1 46.094 (40.508) Prec@5 71.875 (65.861) Epoch: [7][7670/10010] Time 0.347 (0.333) Data 0.000 (0.001) Loss 2.6492 (2.7711) Prec@1 46.094 (40.508) Prec@5 66.406 (65.862) Epoch: [7][7680/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.7101 (2.7711) Prec@1 42.969 (40.508) Prec@5 65.625 (65.862) Epoch: [7][7690/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.9623 (2.7710) Prec@1 44.531 (40.509) Prec@5 62.500 (65.864) Epoch: [7][7700/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.9072 (2.7711) Prec@1 39.844 (40.508) Prec@5 64.062 (65.863) Epoch: [7][7710/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.8638 (2.7711) Prec@1 35.938 (40.509) Prec@5 61.719 (65.862) Epoch: [7][7720/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.9170 (2.7711) Prec@1 32.812 (40.511) Prec@5 60.938 (65.862) Epoch: [7][7730/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.7454 (2.7709) Prec@1 38.281 (40.514) Prec@5 71.875 (65.864) Epoch: [7][7740/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.7005 (2.7709) Prec@1 41.406 (40.512) Prec@5 70.312 (65.864) Epoch: [7][7750/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 3.2279 (2.7709) Prec@1 37.500 (40.514) Prec@5 53.906 (65.864) Epoch: [7][7760/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.7057 (2.7708) Prec@1 47.656 (40.515) Prec@5 65.625 (65.864) Epoch: [7][7770/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.8258 (2.7708) Prec@1 42.188 (40.517) Prec@5 66.406 (65.865) Epoch: [7][7780/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7183 (2.7708) Prec@1 40.625 (40.516) Prec@5 67.969 (65.865) Epoch: [7][7790/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.6941 (2.7707) Prec@1 42.188 (40.518) Prec@5 65.625 (65.867) Epoch: [7][7800/10010] Time 0.310 (0.333) Data 0.001 (0.001) Loss 2.8002 (2.7706) Prec@1 40.625 (40.520) Prec@5 65.625 (65.870) Epoch: [7][7810/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.6642 (2.7706) Prec@1 41.406 (40.519) Prec@5 68.750 (65.869) Epoch: [7][7820/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 3.1807 (2.7707) Prec@1 36.719 (40.519) Prec@5 58.594 (65.866) Epoch: [7][7830/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7306 (2.7707) Prec@1 39.062 (40.517) Prec@5 61.719 (65.865) Epoch: [7][7840/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8589 (2.7706) Prec@1 39.844 (40.518) Prec@5 61.719 (65.866) Epoch: [7][7850/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4576 (2.7705) Prec@1 45.312 (40.523) Prec@5 71.094 (65.868) Epoch: [7][7860/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6762 (2.7706) Prec@1 42.188 (40.520) Prec@5 69.531 (65.867) Epoch: [7][7870/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4516 (2.7706) Prec@1 43.750 (40.520) Prec@5 66.406 (65.866) Epoch: [7][7880/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.1023 (2.7706) Prec@1 32.812 (40.520) Prec@5 63.281 (65.865) Epoch: [7][7890/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.1852 (2.7708) Prec@1 35.156 (40.517) Prec@5 60.938 (65.861) Epoch: [7][7900/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8349 (2.7708) Prec@1 43.750 (40.518) Prec@5 64.844 (65.862) Epoch: [7][7910/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6268 (2.7707) Prec@1 48.438 (40.519) Prec@5 67.969 (65.863) Epoch: [7][7920/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7594 (2.7708) Prec@1 43.750 (40.519) Prec@5 66.406 (65.862) Epoch: [7][7930/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6219 (2.7708) Prec@1 39.844 (40.519) Prec@5 66.406 (65.860) Epoch: [7][7940/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1006 (2.7707) Prec@1 35.938 (40.521) Prec@5 63.281 (65.863) Epoch: [7][7950/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.0171 (2.7707) Prec@1 38.281 (40.522) Prec@5 62.500 (65.862) Epoch: [7][7960/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6341 (2.7706) Prec@1 44.531 (40.524) Prec@5 65.625 (65.866) Epoch: [7][7970/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 3.1392 (2.7707) Prec@1 32.812 (40.525) Prec@5 64.062 (65.865) Epoch: [7][7980/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8550 (2.7707) Prec@1 39.844 (40.521) Prec@5 66.406 (65.864) Epoch: [7][7990/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8584 (2.7707) Prec@1 36.719 (40.522) Prec@5 64.844 (65.862) Epoch: [7][8000/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9127 (2.7707) Prec@1 39.844 (40.520) Prec@5 64.062 (65.863) Epoch: [7][8010/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6699 (2.7706) Prec@1 44.531 (40.518) Prec@5 67.969 (65.862) Epoch: [7][8020/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8126 (2.7706) Prec@1 38.281 (40.516) Prec@5 62.500 (65.861) Epoch: [7][8030/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7087 (2.7708) Prec@1 39.844 (40.514) Prec@5 67.969 (65.858) Epoch: [7][8040/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9276 (2.7709) Prec@1 35.156 (40.513) Prec@5 62.500 (65.857) Epoch: [7][8050/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7854 (2.7709) Prec@1 39.062 (40.514) Prec@5 62.500 (65.857) Epoch: [7][8060/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8610 (2.7709) Prec@1 39.062 (40.512) Prec@5 67.188 (65.857) Epoch: [7][8070/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9641 (2.7709) Prec@1 32.812 (40.512) Prec@5 61.719 (65.859) Epoch: [7][8080/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5798 (2.7710) Prec@1 44.531 (40.511) Prec@5 71.875 (65.859) Epoch: [7][8090/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7916 (2.7709) Prec@1 39.844 (40.514) Prec@5 61.719 (65.861) Epoch: [7][8100/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.1814 (2.7710) Prec@1 34.375 (40.512) Prec@5 60.156 (65.860) Epoch: [7][8110/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7978 (2.7710) Prec@1 39.062 (40.514) Prec@5 64.062 (65.861) Epoch: [7][8120/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8558 (2.7711) Prec@1 46.875 (40.513) Prec@5 67.969 (65.860) Epoch: [7][8130/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9267 (2.7712) Prec@1 36.719 (40.511) Prec@5 59.375 (65.857) Epoch: [7][8140/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5941 (2.7712) Prec@1 43.750 (40.510) Prec@5 76.562 (65.858) Epoch: [7][8150/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7502 (2.7711) Prec@1 46.875 (40.513) Prec@5 67.969 (65.860) Epoch: [7][8160/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.2689 (2.7711) Prec@1 50.000 (40.512) Prec@5 74.219 (65.858) Epoch: [7][8170/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9887 (2.7713) Prec@1 35.938 (40.510) Prec@5 61.719 (65.855) Epoch: [7][8180/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8999 (2.7712) Prec@1 36.719 (40.512) Prec@5 66.406 (65.856) Epoch: [7][8190/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0989 (2.7712) Prec@1 32.031 (40.510) Prec@5 62.500 (65.857) Epoch: [7][8200/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6448 (2.7712) Prec@1 42.969 (40.510) Prec@5 65.625 (65.858) Epoch: [7][8210/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7464 (2.7713) Prec@1 38.281 (40.509) Prec@5 68.750 (65.856) Epoch: [7][8220/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.0943 (2.7713) Prec@1 35.156 (40.507) Prec@5 59.375 (65.856) Epoch: [7][8230/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.4793 (2.7711) Prec@1 47.656 (40.510) Prec@5 68.750 (65.859) Epoch: [7][8240/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8384 (2.7711) Prec@1 39.844 (40.509) Prec@5 62.500 (65.859) Epoch: [7][8250/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9381 (2.7712) Prec@1 40.625 (40.508) Prec@5 64.844 (65.857) Epoch: [7][8260/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6118 (2.7712) Prec@1 47.656 (40.510) Prec@5 69.531 (65.858) Epoch: [7][8270/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6853 (2.7712) Prec@1 40.625 (40.512) Prec@5 64.844 (65.856) Epoch: [7][8280/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5402 (2.7711) Prec@1 41.406 (40.513) Prec@5 65.625 (65.858) Epoch: [7][8290/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5395 (2.7712) Prec@1 41.406 (40.512) Prec@5 67.969 (65.855) Epoch: [7][8300/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7218 (2.7712) Prec@1 44.531 (40.512) Prec@5 65.625 (65.854) Epoch: [7][8310/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7225 (2.7713) Prec@1 37.500 (40.512) Prec@5 68.750 (65.854) Epoch: [7][8320/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8719 (2.7712) Prec@1 38.281 (40.515) Prec@5 63.281 (65.855) Epoch: [7][8330/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 3.0206 (2.7713) Prec@1 33.594 (40.513) Prec@5 62.500 (65.852) Epoch: [7][8340/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7828 (2.7713) Prec@1 41.406 (40.514) Prec@5 65.625 (65.855) Epoch: [7][8350/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5587 (2.7712) Prec@1 44.531 (40.514) Prec@5 70.312 (65.856) Epoch: [7][8360/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9306 (2.7712) Prec@1 34.375 (40.514) Prec@5 59.375 (65.855) Epoch: [7][8370/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.3733 (2.7712) Prec@1 45.312 (40.516) Prec@5 74.219 (65.855) Epoch: [7][8380/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7190 (2.7712) Prec@1 37.500 (40.512) Prec@5 67.969 (65.854) Epoch: [7][8390/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6584 (2.7712) Prec@1 44.531 (40.513) Prec@5 66.406 (65.853) Epoch: [7][8400/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.1766 (2.7712) Prec@1 30.469 (40.513) Prec@5 59.375 (65.853) Epoch: [7][8410/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.4406 (2.7711) Prec@1 47.656 (40.515) Prec@5 68.750 (65.853) Epoch: [7][8420/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0396 (2.7711) Prec@1 36.719 (40.516) Prec@5 60.156 (65.853) Epoch: [7][8430/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7118 (2.7712) Prec@1 36.719 (40.512) Prec@5 62.500 (65.852) Epoch: [7][8440/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.8738 (2.7711) Prec@1 37.500 (40.513) Prec@5 64.062 (65.852) Epoch: [7][8450/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.8281 (2.7712) Prec@1 42.188 (40.513) Prec@5 65.625 (65.852) Epoch: [7][8460/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6023 (2.7711) Prec@1 46.875 (40.514) Prec@5 68.750 (65.852) Epoch: [7][8470/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.9071 (2.7712) Prec@1 42.188 (40.513) Prec@5 64.844 (65.852) Epoch: [7][8480/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6131 (2.7712) Prec@1 41.406 (40.514) Prec@5 65.625 (65.851) Epoch: [7][8490/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6451 (2.7711) Prec@1 44.531 (40.515) Prec@5 66.406 (65.852) Epoch: [7][8500/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9966 (2.7711) Prec@1 36.719 (40.516) Prec@5 60.938 (65.851) Epoch: [7][8510/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5885 (2.7710) Prec@1 46.875 (40.515) Prec@5 67.969 (65.853) Epoch: [7][8520/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7102 (2.7710) Prec@1 37.500 (40.515) Prec@5 64.062 (65.853) Epoch: [7][8530/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8591 (2.7709) Prec@1 35.938 (40.517) Prec@5 62.500 (65.855) Epoch: [7][8540/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7220 (2.7708) Prec@1 41.406 (40.517) Prec@5 64.844 (65.856) Epoch: [7][8550/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6651 (2.7708) Prec@1 42.188 (40.517) Prec@5 66.406 (65.856) Epoch: [7][8560/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6604 (2.7709) Prec@1 42.969 (40.516) Prec@5 70.312 (65.853) Epoch: [7][8570/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9396 (2.7709) Prec@1 37.500 (40.516) Prec@5 64.844 (65.854) Epoch: [7][8580/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7653 (2.7710) Prec@1 43.750 (40.514) Prec@5 64.062 (65.853) Epoch: [7][8590/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4542 (2.7710) Prec@1 48.438 (40.515) Prec@5 72.656 (65.852) Epoch: [7][8600/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6670 (2.7709) Prec@1 42.188 (40.515) Prec@5 64.844 (65.852) Epoch: [7][8610/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7353 (2.7710) Prec@1 37.500 (40.513) Prec@5 66.406 (65.851) Epoch: [7][8620/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.9405 (2.7710) Prec@1 39.844 (40.515) Prec@5 65.625 (65.853) Epoch: [7][8630/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5602 (2.7710) Prec@1 49.219 (40.513) Prec@5 71.875 (65.852) Epoch: [7][8640/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5372 (2.7709) Prec@1 45.312 (40.516) Prec@5 69.531 (65.854) Epoch: [7][8650/10010] Time 0.354 (0.332) Data 0.001 (0.001) Loss 2.7925 (2.7709) Prec@1 36.719 (40.515) Prec@5 66.406 (65.856) /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: [7][8660/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9799 (2.7707) Prec@1 31.250 (40.517) Prec@5 60.938 (65.858) Epoch: [7][8670/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7304 (2.7706) Prec@1 43.750 (40.522) Prec@5 66.406 (65.860) Epoch: [7][8680/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.9723 (2.7706) Prec@1 37.500 (40.523) Prec@5 60.156 (65.859) Epoch: [7][8690/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5945 (2.7705) Prec@1 44.531 (40.524) Prec@5 67.969 (65.860) Epoch: [7][8700/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6600 (2.7705) Prec@1 37.500 (40.523) Prec@5 69.531 (65.860) Epoch: [7][8710/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6780 (2.7705) Prec@1 46.094 (40.523) Prec@5 71.094 (65.860) Epoch: [7][8720/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.7790 (2.7704) Prec@1 37.500 (40.524) Prec@5 64.062 (65.861) Epoch: [7][8730/10010] Time 0.351 (0.332) Data 0.001 (0.001) Loss 2.6245 (2.7704) Prec@1 40.625 (40.523) Prec@5 67.969 (65.861) Epoch: [7][8740/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4489 (2.7703) Prec@1 47.656 (40.521) Prec@5 66.406 (65.862) Epoch: [7][8750/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7877 (2.7705) Prec@1 42.188 (40.518) Prec@5 67.188 (65.859) Epoch: [7][8760/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5771 (2.7705) Prec@1 42.188 (40.519) Prec@5 71.875 (65.858) Epoch: [7][8770/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5666 (2.7705) Prec@1 40.625 (40.519) Prec@5 71.094 (65.857) Epoch: [7][8780/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0464 (2.7704) Prec@1 41.406 (40.523) Prec@5 59.375 (65.859) Epoch: [7][8790/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8330 (2.7704) Prec@1 34.375 (40.521) Prec@5 64.062 (65.859) Epoch: [7][8800/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5904 (2.7704) Prec@1 39.062 (40.522) Prec@5 68.750 (65.857) Epoch: [7][8810/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5670 (2.7705) Prec@1 39.062 (40.523) Prec@5 67.969 (65.856) Epoch: [7][8820/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.6151 (2.7705) Prec@1 39.844 (40.522) Prec@5 71.094 (65.856) Epoch: [7][8830/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5573 (2.7703) Prec@1 46.875 (40.525) Prec@5 71.094 (65.857) Epoch: [7][8840/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7613 (2.7702) Prec@1 40.625 (40.528) Prec@5 63.281 (65.859) Epoch: [7][8850/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7770 (2.7702) Prec@1 42.188 (40.529) Prec@5 70.312 (65.862) Epoch: [7][8860/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6492 (2.7703) Prec@1 45.312 (40.530) Prec@5 69.531 (65.861) Epoch: [7][8870/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8202 (2.7703) Prec@1 40.625 (40.530) Prec@5 64.062 (65.860) Epoch: [7][8880/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7336 (2.7704) Prec@1 39.844 (40.529) Prec@5 64.844 (65.858) Epoch: [7][8890/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7014 (2.7704) Prec@1 40.625 (40.529) Prec@5 64.062 (65.859) Epoch: [7][8900/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9054 (2.7705) Prec@1 35.156 (40.525) Prec@5 60.938 (65.857) Epoch: [7][8910/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6277 (2.7704) Prec@1 45.312 (40.527) Prec@5 71.094 (65.860) Epoch: [7][8920/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6828 (2.7705) Prec@1 40.625 (40.525) Prec@5 64.062 (65.857) Epoch: [7][8930/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8929 (2.7706) Prec@1 31.250 (40.524) Prec@5 63.281 (65.855) Epoch: [7][8940/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.0523 (2.7706) Prec@1 39.844 (40.524) Prec@5 61.719 (65.855) Epoch: [7][8950/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0059 (2.7706) Prec@1 35.156 (40.524) Prec@5 58.594 (65.856) Epoch: [7][8960/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4883 (2.7705) Prec@1 39.844 (40.523) Prec@5 63.281 (65.856) Epoch: [7][8970/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6244 (2.7705) Prec@1 38.281 (40.522) Prec@5 67.188 (65.855) Epoch: [7][8980/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5310 (2.7705) Prec@1 42.188 (40.522) Prec@5 71.094 (65.855) Epoch: [7][8990/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6609 (2.7705) Prec@1 46.875 (40.525) Prec@5 67.969 (65.853) Epoch: [7][9000/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5225 (2.7705) Prec@1 44.531 (40.526) Prec@5 68.750 (65.854) Epoch: [7][9010/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7651 (2.7706) Prec@1 43.750 (40.523) Prec@5 69.531 (65.851) Epoch: [7][9020/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8842 (2.7707) Prec@1 39.062 (40.522) Prec@5 60.938 (65.850) Epoch: [7][9030/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7272 (2.7707) Prec@1 40.625 (40.522) Prec@5 64.844 (65.851) Epoch: [7][9040/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9218 (2.7706) Prec@1 40.625 (40.523) Prec@5 60.938 (65.852) Epoch: [7][9050/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5243 (2.7706) Prec@1 47.656 (40.523) Prec@5 72.656 (65.851) Epoch: [7][9060/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.1669 (2.7707) Prec@1 32.031 (40.519) Prec@5 63.281 (65.849) Epoch: [7][9070/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9935 (2.7708) Prec@1 35.156 (40.517) Prec@5 57.031 (65.847) Epoch: [7][9080/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.0272 (2.7708) Prec@1 37.500 (40.519) Prec@5 62.500 (65.848) Epoch: [7][9090/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7703 (2.7709) Prec@1 45.312 (40.520) Prec@5 64.844 (65.846) Epoch: [7][9100/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9362 (2.7709) Prec@1 38.281 (40.518) Prec@5 64.062 (65.844) Epoch: [7][9110/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5979 (2.7709) Prec@1 47.656 (40.520) Prec@5 67.188 (65.845) Epoch: [7][9120/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5349 (2.7709) Prec@1 40.625 (40.520) Prec@5 69.531 (65.843) Epoch: [7][9130/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9595 (2.7710) Prec@1 38.281 (40.520) Prec@5 63.281 (65.841) Epoch: [7][9140/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.9037 (2.7709) Prec@1 35.156 (40.521) Prec@5 64.062 (65.841) Epoch: [7][9150/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8616 (2.7709) Prec@1 41.406 (40.521) Prec@5 64.062 (65.841) Epoch: [7][9160/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8168 (2.7710) Prec@1 39.062 (40.519) Prec@5 67.969 (65.840) Epoch: [7][9170/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0327 (2.7710) Prec@1 32.812 (40.521) Prec@5 61.719 (65.841) Epoch: [7][9180/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 3.1572 (2.7710) Prec@1 35.938 (40.519) Prec@5 56.250 (65.841) Epoch: [7][9190/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 3.0443 (2.7710) Prec@1 39.844 (40.519) Prec@5 60.156 (65.842) Epoch: [7][9200/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5521 (2.7710) Prec@1 42.969 (40.520) Prec@5 64.844 (65.843) Epoch: [7][9210/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.2982 (2.7710) Prec@1 54.688 (40.519) Prec@5 73.438 (65.842) Epoch: [7][9220/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.2277 (2.7710) Prec@1 37.500 (40.518) Prec@5 57.812 (65.840) Epoch: [7][9230/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.9291 (2.7710) Prec@1 39.844 (40.519) Prec@5 62.500 (65.841) Epoch: [7][9240/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7270 (2.7711) Prec@1 47.656 (40.517) Prec@5 65.625 (65.839) Epoch: [7][9250/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7498 (2.7710) Prec@1 42.188 (40.517) Prec@5 64.062 (65.839) Epoch: [7][9260/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8762 (2.7710) Prec@1 36.719 (40.516) Prec@5 68.750 (65.838) Epoch: [7][9270/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5883 (2.7710) Prec@1 41.406 (40.518) Prec@5 68.750 (65.838) Epoch: [7][9280/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8974 (2.7710) Prec@1 37.500 (40.518) Prec@5 61.719 (65.837) Epoch: [7][9290/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9145 (2.7711) Prec@1 38.281 (40.517) Prec@5 67.969 (65.836) Epoch: [7][9300/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8767 (2.7711) Prec@1 34.375 (40.513) Prec@5 64.062 (65.836) Epoch: [7][9310/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.0004 (2.7710) Prec@1 39.062 (40.514) Prec@5 64.844 (65.838) Epoch: [7][9320/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8700 (2.7710) Prec@1 45.312 (40.513) Prec@5 63.281 (65.838) Epoch: [7][9330/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.3793 (2.7711) Prec@1 45.312 (40.512) Prec@5 71.875 (65.839) Epoch: [7][9340/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7383 (2.7712) Prec@1 39.062 (40.511) Prec@5 69.531 (65.837) Epoch: [7][9350/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8583 (2.7712) Prec@1 42.188 (40.509) Prec@5 67.188 (65.837) Epoch: [7][9360/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4723 (2.7713) Prec@1 47.656 (40.509) Prec@5 68.750 (65.836) Epoch: [7][9370/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5931 (2.7713) Prec@1 41.406 (40.509) Prec@5 67.969 (65.836) Epoch: [7][9380/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7393 (2.7714) Prec@1 40.625 (40.508) Prec@5 67.188 (65.833) Epoch: [7][9390/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6645 (2.7715) Prec@1 34.375 (40.504) Prec@5 69.531 (65.830) Epoch: [7][9400/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.7404 (2.7715) Prec@1 38.281 (40.504) Prec@5 71.094 (65.831) Epoch: [7][9410/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8172 (2.7717) Prec@1 40.625 (40.500) Prec@5 62.500 (65.827) Epoch: [7][9420/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6078 (2.7716) Prec@1 46.875 (40.504) Prec@5 69.531 (65.827) Epoch: [7][9430/10010] Time 0.331 (0.332) Data 0.002 (0.001) Loss 2.6957 (2.7715) Prec@1 45.312 (40.508) Prec@5 67.969 (65.827) Epoch: [7][9440/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5336 (2.7716) Prec@1 42.188 (40.506) Prec@5 74.219 (65.828) Epoch: [7][9450/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6370 (2.7716) Prec@1 40.625 (40.504) Prec@5 68.750 (65.827) Epoch: [7][9460/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7885 (2.7715) Prec@1 46.875 (40.505) Prec@5 64.062 (65.828) Epoch: [7][9470/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3743 (2.7715) Prec@1 46.875 (40.505) Prec@5 69.531 (65.829) Epoch: [7][9480/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8534 (2.7716) Prec@1 38.281 (40.504) Prec@5 67.969 (65.830) Epoch: [7][9490/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6642 (2.7717) Prec@1 42.188 (40.502) Prec@5 66.406 (65.828) Epoch: [7][9500/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8162 (2.7717) Prec@1 35.156 (40.501) Prec@5 64.062 (65.829) Epoch: [7][9510/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.2977 (2.7716) Prec@1 51.562 (40.504) Prec@5 69.531 (65.829) Epoch: [7][9520/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6926 (2.7715) Prec@1 41.406 (40.507) Prec@5 65.625 (65.831) Epoch: [7][9530/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6245 (2.7715) Prec@1 43.750 (40.508) Prec@5 64.062 (65.830) Epoch: [7][9540/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.0513 (2.7715) Prec@1 34.375 (40.507) Prec@5 60.156 (65.829) Epoch: [7][9550/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6486 (2.7715) Prec@1 39.844 (40.508) Prec@5 66.406 (65.828) Epoch: [7][9560/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6805 (2.7715) Prec@1 39.844 (40.507) Prec@5 67.188 (65.827) Epoch: [7][9570/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5269 (2.7714) Prec@1 43.750 (40.509) Prec@5 68.750 (65.829) Epoch: [7][9580/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9353 (2.7714) Prec@1 39.844 (40.509) Prec@5 64.062 (65.828) Epoch: [7][9590/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7058 (2.7713) Prec@1 39.062 (40.510) Prec@5 67.969 (65.829) Epoch: [7][9600/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8798 (2.7715) Prec@1 35.938 (40.507) Prec@5 67.969 (65.827) Epoch: [7][9610/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9334 (2.7716) Prec@1 38.281 (40.507) Prec@5 64.062 (65.826) Epoch: [7][9620/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8383 (2.7715) Prec@1 39.062 (40.506) Prec@5 64.844 (65.827) Epoch: [7][9630/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7282 (2.7715) Prec@1 44.531 (40.505) Prec@5 64.844 (65.827) Epoch: [7][9640/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4999 (2.7716) Prec@1 42.969 (40.504) Prec@5 71.094 (65.828) Epoch: [7][9650/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7089 (2.7716) Prec@1 43.750 (40.504) Prec@5 70.312 (65.828) Epoch: [7][9660/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9116 (2.7716) Prec@1 38.281 (40.503) Prec@5 62.500 (65.826) Epoch: [7][9670/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7392 (2.7716) Prec@1 41.406 (40.504) Prec@5 63.281 (65.827) Epoch: [7][9680/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7254 (2.7716) Prec@1 42.188 (40.504) Prec@5 67.969 (65.828) Epoch: [7][9690/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5332 (2.7716) Prec@1 48.438 (40.504) Prec@5 70.312 (65.828) Epoch: [7][9700/10010] Time 0.333 (0.332) Data 0.002 (0.001) Loss 2.8266 (2.7715) Prec@1 39.844 (40.505) Prec@5 63.281 (65.829) Epoch: [7][9710/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7021 (2.7715) Prec@1 40.625 (40.504) Prec@5 67.969 (65.829) Epoch: [7][9720/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9949 (2.7716) Prec@1 40.625 (40.503) Prec@5 67.969 (65.829) Epoch: [7][9730/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7980 (2.7716) Prec@1 39.062 (40.504) Prec@5 64.844 (65.829) Epoch: [7][9740/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0972 (2.7717) Prec@1 32.031 (40.504) Prec@5 58.594 (65.828) Epoch: [7][9750/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1081 (2.7718) Prec@1 38.281 (40.501) Prec@5 57.031 (65.825) Epoch: [7][9760/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.2206 (2.7718) Prec@1 31.250 (40.501) Prec@5 59.375 (65.824) Epoch: [7][9770/10010] Time 0.326 (0.332) Data 0.003 (0.001) Loss 2.7841 (2.7718) Prec@1 42.188 (40.500) Prec@5 64.844 (65.827) Epoch: [7][9780/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9367 (2.7718) Prec@1 37.500 (40.503) Prec@5 63.281 (65.829) Epoch: [7][9790/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7613 (2.7718) Prec@1 42.188 (40.500) Prec@5 71.094 (65.829) Epoch: [7][9800/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6687 (2.7719) Prec@1 36.719 (40.498) Prec@5 66.406 (65.827) Epoch: [7][9810/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5661 (2.7719) Prec@1 40.625 (40.497) Prec@5 68.750 (65.827) Epoch: [7][9820/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.1696 (2.7721) Prec@1 30.469 (40.493) Prec@5 57.031 (65.823) Epoch: [7][9830/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4119 (2.7720) Prec@1 48.438 (40.495) Prec@5 67.188 (65.826) Epoch: [7][9840/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8738 (2.7719) Prec@1 36.719 (40.497) Prec@5 67.969 (65.829) Epoch: [7][9850/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7755 (2.7719) Prec@1 36.719 (40.497) Prec@5 64.062 (65.828) Epoch: [7][9860/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0786 (2.7720) Prec@1 39.062 (40.495) Prec@5 60.156 (65.826) Epoch: [7][9870/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.0797 (2.7721) Prec@1 34.375 (40.495) Prec@5 62.500 (65.824) Epoch: [7][9880/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8032 (2.7720) Prec@1 43.750 (40.495) Prec@5 67.188 (65.825) Epoch: [7][9890/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8774 (2.7721) Prec@1 42.969 (40.493) Prec@5 64.062 (65.824) Epoch: [7][9900/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6408 (2.7721) Prec@1 45.312 (40.491) Prec@5 65.625 (65.823) Epoch: [7][9910/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1206 (2.7722) Prec@1 33.594 (40.491) Prec@5 57.812 (65.822) Epoch: [7][9920/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7493 (2.7723) Prec@1 32.031 (40.491) Prec@5 64.844 (65.822) Epoch: [7][9930/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8898 (2.7723) Prec@1 39.062 (40.491) Prec@5 67.969 (65.822) Epoch: [7][9940/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7987 (2.7723) Prec@1 40.625 (40.490) Prec@5 66.406 (65.822) Epoch: [7][9950/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5235 (2.7723) Prec@1 40.625 (40.490) Prec@5 71.094 (65.824) Epoch: [7][9960/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7650 (2.7723) Prec@1 40.625 (40.491) Prec@5 62.500 (65.822) Epoch: [7][9970/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7298 (2.7724) Prec@1 40.625 (40.490) Prec@5 70.312 (65.823) Epoch: [7][9980/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7821 (2.7723) Prec@1 40.625 (40.492) Prec@5 67.188 (65.823) Epoch: [7][9990/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8831 (2.7724) Prec@1 38.281 (40.489) Prec@5 64.062 (65.820) Epoch: [7][10000/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.9947 (2.7724) Prec@1 39.844 (40.490) Prec@5 61.719 (65.820) Test: [0/391] Time 1.349 (1.349) Loss 1.0152 (1.0152) Prec@1 78.906 (78.906) Prec@5 90.625 (90.625) Test: [10/391] Time 0.110 (0.233) Loss 2.0962 (1.8673) Prec@1 58.594 (57.457) Prec@5 75.000 (79.048) Test: [20/391] Time 0.113 (0.174) Loss 2.5559 (2.2021) Prec@1 45.312 (51.004) Prec@5 63.281 (74.405) Test: [30/391] Time 0.107 (0.152) Loss 3.1385 (2.3911) Prec@1 35.156 (47.203) Prec@5 63.281 (72.505) Test: [40/391] Time 0.103 (0.141) Loss 2.2968 (2.2091) Prec@1 51.562 (51.162) Prec@5 73.438 (74.714) Test: [50/391] Time 0.109 (0.136) Loss 1.2444 (2.2422) Prec@1 65.625 (50.276) Prec@5 90.625 (74.234) Test: [60/391] Time 0.104 (0.131) Loss 3.0208 (2.1656) Prec@1 33.594 (51.895) Prec@5 58.594 (75.371) Test: [70/391] Time 0.103 (0.128) Loss 3.6169 (2.2077) Prec@1 31.250 (50.407) Prec@5 42.969 (74.736) Test: [80/391] Time 0.111 (0.125) Loss 2.4438 (2.2678) Prec@1 41.406 (48.669) Prec@5 71.875 (74.007) Test: [90/391] Time 0.112 (0.123) Loss 2.3672 (2.2835) Prec@1 32.812 (47.562) Prec@5 75.000 (73.669) Test: [100/391] Time 0.106 (0.123) Loss 2.5593 (2.2756) Prec@1 32.031 (47.169) Prec@5 75.781 (73.971) Test: [110/391] Time 0.112 (0.121) Loss 2.9544 (2.2980) Prec@1 39.844 (46.284) Prec@5 71.094 (73.881) Test: [120/391] Time 0.110 (0.120) Loss 2.0482 (2.2894) Prec@1 53.125 (46.513) Prec@5 79.688 (74.019) Test: [130/391] Time 0.112 (0.119) Loss 1.8245 (2.2712) Prec@1 63.281 (47.102) Prec@5 79.688 (74.326) Test: [140/391] Time 0.106 (0.118) Loss 3.5201 (2.2697) Prec@1 31.250 (47.268) Prec@5 55.469 (74.435) Test: [150/391] Time 0.106 (0.118) Loss 1.4061 (2.2636) Prec@1 52.344 (47.356) Prec@5 91.406 (74.540) Test: [160/391] Time 0.105 (0.117) Loss 2.4033 (2.2756) Prec@1 40.625 (47.064) Prec@5 75.000 (74.592) Test: [170/391] Time 0.108 (0.117) Loss 2.9963 (2.3177) Prec@1 28.125 (46.276) Prec@5 70.312 (74.009) Test: [180/391] Time 0.110 (0.116) Loss 4.8896 (2.3584) Prec@1 9.375 (45.610) Prec@5 39.062 (73.343) Test: [190/391] Time 0.103 (0.116) Loss 3.0509 (2.3843) Prec@1 46.875 (45.353) Prec@5 66.406 (72.963) Test: [200/391] Time 0.109 (0.116) Loss 3.3268 (2.4214) Prec@1 25.000 (44.796) Prec@5 57.031 (72.454) Test: [210/391] Time 0.107 (0.115) Loss 2.6655 (2.4545) Prec@1 50.000 (44.357) Prec@5 67.188 (71.934) Test: [220/391] Time 0.108 (0.115) Loss 1.6424 (2.4601) Prec@1 64.062 (44.369) Prec@5 80.469 (71.744) Test: [230/391] Time 0.104 (0.115) Loss 3.8606 (2.4788) Prec@1 21.094 (44.125) Prec@5 50.000 (71.418) Test: [240/391] Time 0.169 (0.115) Loss 2.5969 (2.4829) Prec@1 46.094 (44.249) Prec@5 68.750 (71.317) Test: [250/391] Time 0.107 (0.114) Loss 2.5184 (2.5147) Prec@1 47.656 (43.809) Prec@5 71.875 (70.823) Test: [260/391] Time 0.107 (0.114) Loss 3.8661 (2.5390) Prec@1 24.219 (43.325) Prec@5 46.875 (70.435) Test: [270/391] Time 0.110 (0.114) Loss 3.8401 (2.5603) Prec@1 22.656 (43.064) Prec@5 49.219 (70.021) Test: [280/391] Time 0.108 (0.114) Loss 2.2787 (2.5720) Prec@1 40.625 (42.841) Prec@5 78.125 (69.865) Test: [290/391] Time 0.111 (0.114) Loss 2.9017 (2.5921) Prec@1 31.250 (42.590) Prec@5 68.750 (69.545) Test: [300/391] Time 0.107 (0.114) Loss 2.1943 (2.6021) Prec@1 58.594 (42.522) Prec@5 75.000 (69.409) Test: [310/391] Time 0.110 (0.114) Loss 3.3395 (2.6154) Prec@1 39.062 (42.386) Prec@5 57.812 (69.175) Test: [320/391] Time 0.108 (0.113) Loss 0.8871 (2.6202) Prec@1 76.562 (42.324) Prec@5 93.750 (69.086) Test: [330/391] Time 0.103 (0.113) Loss 3.3447 (2.6452) Prec@1 28.906 (41.933) Prec@5 54.688 (68.710) Test: [340/391] Time 0.113 (0.113) Loss 2.4437 (2.6468) Prec@1 50.781 (41.880) Prec@5 71.875 (68.672) Test: [350/391] Time 0.108 (0.113) Loss 2.3646 (2.6492) Prec@1 50.000 (41.916) Prec@5 71.094 (68.610) Test: [360/391] Time 0.105 (0.113) Loss 2.6811 (2.6529) Prec@1 33.594 (41.778) Prec@5 66.406 (68.564) Test: [370/391] Time 0.111 (0.113) Loss 2.3476 (2.6546) Prec@1 39.844 (41.745) Prec@5 78.906 (68.563) Test: [380/391] Time 0.113 (0.113) Loss 1.3030 (2.6476) Prec@1 71.094 (41.919) Prec@5 90.625 (68.711) Test: [390/391] Time 0.070 (0.112) Loss 4.9470 (2.6326) Prec@1 7.500 (42.238) Prec@5 36.250 (68.972) * Prec@1 42.238 Prec@5 68.972 Epoch: [8][0/10010] Time 2.586 (2.586) Data 2.409 (2.409) Loss 2.7398 (2.7398) Prec@1 41.406 (41.406) Prec@5 71.875 (71.875) Epoch: [8][10/10010] Time 0.317 (0.529) Data 0.001 (0.222) Loss 2.9065 (2.8196) Prec@1 42.188 (39.702) Prec@5 63.281 (65.199) Epoch: [8][20/10010] Time 0.318 (0.431) Data 0.001 (0.117) Loss 2.6588 (2.7799) Prec@1 41.406 (40.997) Prec@5 67.969 (65.402) Epoch: [8][30/10010] Time 0.318 (0.395) Data 0.001 (0.079) Loss 2.5163 (2.7788) Prec@1 45.312 (40.726) Prec@5 71.094 (65.549) Epoch: [8][40/10010] Time 0.318 (0.377) Data 0.001 (0.060) Loss 2.4446 (2.7694) Prec@1 46.875 (41.044) Prec@5 71.875 (65.930) Epoch: [8][50/10010] Time 0.323 (0.366) Data 0.001 (0.048) Loss 2.6717 (2.7733) Prec@1 42.969 (40.732) Prec@5 67.188 (65.717) Epoch: [8][60/10010] Time 0.325 (0.359) Data 0.001 (0.041) Loss 2.5343 (2.7708) Prec@1 43.750 (40.523) Prec@5 69.531 (65.727) Epoch: [8][70/10010] Time 0.322 (0.355) Data 0.001 (0.035) Loss 2.7018 (2.7602) Prec@1 35.156 (40.680) Prec@5 67.969 (65.966) Epoch: [8][80/10010] Time 0.337 (0.352) Data 0.000 (0.031) Loss 2.9134 (2.7669) Prec@1 35.156 (40.664) Prec@5 65.625 (65.828) Epoch: [8][90/10010] Time 0.324 (0.349) Data 0.001 (0.027) Loss 2.4734 (2.7518) Prec@1 43.750 (40.883) Prec@5 64.844 (65.951) Epoch: [8][100/10010] Time 0.325 (0.347) Data 0.001 (0.025) Loss 2.5696 (2.7483) Prec@1 42.188 (40.927) Prec@5 67.969 (66.035) Epoch: [8][110/10010] Time 0.329 (0.346) Data 0.001 (0.023) Loss 2.9120 (2.7520) Prec@1 41.406 (40.921) Prec@5 64.844 (66.019) Epoch: [8][120/10010] Time 0.329 (0.345) Data 0.001 (0.021) Loss 2.2648 (2.7475) Prec@1 45.312 (41.038) Prec@5 75.000 (66.142) Epoch: [8][130/10010] Time 0.325 (0.343) Data 0.001 (0.019) Loss 2.6576 (2.7451) Prec@1 41.406 (41.048) Prec@5 67.188 (66.251) Epoch: [8][140/10010] Time 0.325 (0.342) Data 0.001 (0.018) Loss 2.4512 (2.7435) Prec@1 47.656 (41.079) Prec@5 73.438 (66.417) Epoch: [8][150/10010] Time 0.331 (0.342) Data 0.000 (0.017) Loss 2.9059 (2.7446) Prec@1 39.062 (41.023) Prec@5 66.406 (66.453) Epoch: [8][160/10010] Time 0.324 (0.341) Data 0.000 (0.016) Loss 2.7205 (2.7442) Prec@1 42.969 (41.037) Prec@5 67.969 (66.440) Epoch: [8][170/10010] Time 0.341 (0.341) Data 0.000 (0.015) Loss 2.7486 (2.7449) Prec@1 36.719 (41.059) Prec@5 68.750 (66.383) Epoch: [8][180/10010] Time 0.327 (0.340) Data 0.001 (0.014) Loss 2.6399 (2.7378) Prec@1 40.625 (41.160) Prec@5 70.312 (66.540) Epoch: [8][190/10010] Time 0.319 (0.339) Data 0.000 (0.013) Loss 2.8165 (2.7376) Prec@1 37.500 (41.091) Prec@5 65.625 (66.492) Epoch: [8][200/10010] Time 0.339 (0.339) Data 0.001 (0.013) Loss 2.5354 (2.7384) Prec@1 42.969 (40.905) Prec@5 71.875 (66.492) Epoch: [8][210/10010] Time 0.345 (0.339) Data 0.000 (0.012) Loss 2.6835 (2.7412) Prec@1 41.406 (40.880) Prec@5 66.406 (66.443) Epoch: [8][220/10010] Time 0.336 (0.338) Data 0.001 (0.012) Loss 2.5904 (2.7439) Prec@1 40.625 (40.795) Prec@5 68.750 (66.385) Epoch: [8][230/10010] Time 0.342 (0.338) Data 0.000 (0.011) Loss 2.4962 (2.7421) Prec@1 42.969 (40.808) Prec@5 68.750 (66.416) Epoch: [8][240/10010] Time 0.335 (0.338) Data 0.001 (0.011) Loss 2.3692 (2.7394) Prec@1 50.781 (40.852) Prec@5 75.781 (66.429) Epoch: [8][250/10010] Time 0.326 (0.338) Data 0.000 (0.010) Loss 2.8399 (2.7405) Prec@1 40.625 (40.799) Prec@5 63.281 (66.419) Epoch: [8][260/10010] Time 0.324 (0.338) Data 0.001 (0.010) Loss 2.7014 (2.7378) Prec@1 38.281 (40.829) Prec@5 67.969 (66.484) Epoch: [8][270/10010] Time 0.335 (0.337) Data 0.001 (0.010) Loss 2.8367 (2.7367) Prec@1 41.406 (40.850) Prec@5 67.188 (66.499) Epoch: [8][280/10010] Time 0.341 (0.337) Data 0.000 (0.009) Loss 2.5444 (2.7383) Prec@1 45.312 (40.872) Prec@5 69.531 (66.462) Epoch: [8][290/10010] Time 0.339 (0.337) Data 0.000 (0.009) Loss 2.7137 (2.7360) Prec@1 37.500 (40.928) Prec@5 69.531 (66.508) Epoch: [8][300/10010] Time 0.321 (0.337) Data 0.001 (0.009) Loss 2.5736 (2.7359) Prec@1 44.531 (40.890) Prec@5 63.281 (66.505) Epoch: [8][310/10010] Time 0.338 (0.337) Data 0.001 (0.008) Loss 2.5703 (2.7358) Prec@1 47.656 (40.869) Prec@5 70.312 (66.517) Epoch: [8][320/10010] Time 0.337 (0.336) Data 0.001 (0.008) Loss 2.9246 (2.7347) Prec@1 38.281 (40.878) Prec@5 64.062 (66.550) Epoch: [8][330/10010] Time 0.345 (0.336) Data 0.001 (0.008) Loss 2.9348 (2.7378) Prec@1 42.188 (40.854) Prec@5 60.938 (66.510) Epoch: [8][340/10010] Time 0.317 (0.336) Data 0.001 (0.008) Loss 2.8146 (2.7355) Prec@1 41.406 (40.875) Prec@5 63.281 (66.530) Epoch: [8][350/10010] Time 0.331 (0.336) Data 0.001 (0.008) Loss 2.9557 (2.7360) Prec@1 33.594 (40.877) Prec@5 60.156 (66.504) Epoch: [8][360/10010] Time 0.333 (0.336) Data 0.001 (0.007) Loss 2.8262 (2.7394) Prec@1 39.844 (40.822) Prec@5 65.625 (66.471) Epoch: [8][370/10010] Time 0.338 (0.336) Data 0.001 (0.007) Loss 2.5864 (2.7377) Prec@1 41.406 (40.817) Prec@5 71.875 (66.505) Epoch: [8][380/10010] Time 0.332 (0.336) Data 0.001 (0.007) Loss 2.7510 (2.7382) Prec@1 43.750 (40.810) Prec@5 64.844 (66.490) Epoch: [8][390/10010] Time 0.333 (0.336) Data 0.000 (0.007) Loss 2.7001 (2.7400) Prec@1 39.062 (40.759) Prec@5 67.188 (66.462) Epoch: [8][400/10010] Time 0.322 (0.336) Data 0.000 (0.007) Loss 2.7178 (2.7387) Prec@1 38.281 (40.756) Prec@5 67.969 (66.519) Epoch: [8][410/10010] Time 0.330 (0.336) Data 0.001 (0.007) Loss 2.4068 (2.7365) Prec@1 43.750 (40.747) Prec@5 73.438 (66.549) Epoch: [8][420/10010] Time 0.354 (0.336) Data 0.001 (0.006) Loss 2.9429 (2.7358) Prec@1 40.625 (40.801) Prec@5 64.062 (66.592) Epoch: [8][430/10010] Time 0.326 (0.336) Data 0.000 (0.006) Loss 2.6921 (2.7386) Prec@1 45.312 (40.756) Prec@5 68.750 (66.522) Epoch: [8][440/10010] Time 0.325 (0.335) Data 0.001 (0.006) Loss 2.9791 (2.7368) Prec@1 40.625 (40.797) Prec@5 63.281 (66.543) Epoch: [8][450/10010] Time 0.323 (0.335) Data 0.001 (0.006) Loss 2.6523 (2.7356) Prec@1 43.750 (40.861) Prec@5 64.062 (66.538) Epoch: [8][460/10010] Time 0.317 (0.335) Data 0.001 (0.006) Loss 2.9377 (2.7374) Prec@1 31.250 (40.832) Prec@5 64.062 (66.533) Epoch: [8][470/10010] Time 0.321 (0.335) Data 0.001 (0.006) Loss 2.2694 (2.7352) Prec@1 50.781 (40.842) Prec@5 77.344 (66.584) Epoch: [8][480/10010] Time 0.337 (0.335) Data 0.000 (0.006) Loss 2.5646 (2.7329) Prec@1 47.656 (40.893) Prec@5 71.875 (66.630) Epoch: [8][490/10010] Time 0.328 (0.335) Data 0.001 (0.006) Loss 2.7528 (2.7312) Prec@1 41.406 (40.921) Prec@5 68.750 (66.645) Epoch: [8][500/10010] Time 0.335 (0.335) Data 0.001 (0.006) Loss 2.9503 (2.7305) Prec@1 39.062 (40.951) Prec@5 57.812 (66.632) Epoch: [8][510/10010] Time 0.333 (0.335) Data 0.000 (0.005) Loss 2.4288 (2.7273) Prec@1 45.312 (41.015) Prec@5 74.219 (66.680) Epoch: [8][520/10010] Time 0.329 (0.335) Data 0.001 (0.005) Loss 2.9707 (2.7286) Prec@1 37.500 (41.012) Prec@5 63.281 (66.691) Epoch: [8][530/10010] Time 0.342 (0.335) Data 0.001 (0.005) Loss 2.3945 (2.7290) Prec@1 48.438 (41.012) Prec@5 69.531 (66.689) Epoch: [8][540/10010] Time 0.328 (0.335) Data 0.001 (0.005) Loss 2.6378 (2.7301) Prec@1 48.438 (40.999) Prec@5 64.844 (66.655) Epoch: [8][550/10010] Time 0.347 (0.335) Data 0.001 (0.005) Loss 2.7587 (2.7316) Prec@1 43.750 (40.996) Prec@5 65.625 (66.612) Epoch: [8][560/10010] Time 0.328 (0.335) Data 0.001 (0.005) Loss 2.6269 (2.7308) Prec@1 44.531 (41.016) Prec@5 68.750 (66.639) Epoch: [8][570/10010] Time 0.342 (0.334) Data 0.001 (0.005) Loss 2.8901 (2.7295) Prec@1 35.156 (41.033) Prec@5 65.625 (66.676) Epoch: [8][580/10010] Time 0.345 (0.335) Data 0.001 (0.005) Loss 2.6876 (2.7286) Prec@1 39.062 (41.045) Prec@5 67.188 (66.699) Epoch: [8][590/10010] Time 0.318 (0.335) Data 0.001 (0.005) Loss 2.8664 (2.7281) Prec@1 37.500 (41.032) Prec@5 67.969 (66.714) Epoch: [8][600/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 3.0200 (2.7288) Prec@1 33.594 (41.012) Prec@5 61.719 (66.716) Epoch: [8][610/10010] Time 0.322 (0.334) Data 0.000 (0.005) Loss 2.9240 (2.7290) Prec@1 42.969 (41.009) Prec@5 64.844 (66.723) Epoch: [8][620/10010] Time 0.345 (0.334) Data 0.000 (0.005) Loss 2.9166 (2.7300) Prec@1 38.281 (41.004) Prec@5 64.844 (66.709) Epoch: [8][630/10010] Time 0.320 (0.334) Data 0.001 (0.005) Loss 2.4764 (2.7308) Prec@1 46.094 (40.987) Prec@5 71.875 (66.707) /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: [8][640/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 3.0672 (2.7329) Prec@1 39.062 (40.961) Prec@5 58.594 (66.662) Epoch: [8][650/10010] Time 0.322 (0.334) Data 0.001 (0.004) Loss 2.4122 (2.7337) Prec@1 50.781 (40.939) Prec@5 69.531 (66.640) Epoch: [8][660/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 2.5506 (2.7339) Prec@1 38.281 (40.930) Prec@5 65.625 (66.621) Epoch: [8][670/10010] Time 0.338 (0.334) Data 0.001 (0.004) Loss 2.7310 (2.7340) Prec@1 35.156 (40.928) Prec@5 63.281 (66.588) Epoch: [8][680/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 3.1279 (2.7338) Prec@1 37.500 (40.939) Prec@5 60.938 (66.581) Epoch: [8][690/10010] Time 0.339 (0.334) Data 0.000 (0.004) Loss 2.6520 (2.7358) Prec@1 45.312 (40.902) Prec@5 68.750 (66.554) Epoch: [8][700/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.2863 (2.7340) Prec@1 50.781 (40.953) Prec@5 72.656 (66.587) Epoch: [8][710/10010] Time 0.334 (0.334) Data 0.001 (0.004) Loss 2.9617 (2.7349) Prec@1 36.719 (40.930) Prec@5 64.844 (66.573) Epoch: [8][720/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.5671 (2.7349) Prec@1 42.188 (40.940) Prec@5 64.844 (66.584) Epoch: [8][730/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 2.6960 (2.7348) Prec@1 45.312 (40.960) Prec@5 65.625 (66.579) Epoch: [8][740/10010] Time 0.321 (0.334) Data 0.001 (0.004) Loss 3.0106 (2.7349) Prec@1 33.594 (40.944) Prec@5 59.375 (66.563) Epoch: [8][750/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 3.0342 (2.7340) Prec@1 33.594 (40.968) Prec@5 57.031 (66.565) Epoch: [8][760/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.5756 (2.7342) Prec@1 44.531 (40.979) Prec@5 70.312 (66.575) Epoch: [8][770/10010] Time 0.334 (0.334) Data 0.001 (0.004) Loss 2.5853 (2.7343) Prec@1 43.750 (41.002) Prec@5 68.750 (66.566) Epoch: [8][780/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.9536 (2.7348) Prec@1 35.156 (41.001) Prec@5 64.844 (66.568) Epoch: [8][790/10010] Time 0.315 (0.334) Data 0.001 (0.004) Loss 2.7938 (2.7349) Prec@1 38.281 (41.020) Prec@5 64.062 (66.549) Epoch: [8][800/10010] Time 0.338 (0.334) Data 0.000 (0.004) Loss 2.8664 (2.7359) Prec@1 42.969 (41.023) Prec@5 64.844 (66.528) Epoch: [8][810/10010] Time 0.323 (0.334) Data 0.000 (0.004) Loss 2.8645 (2.7368) Prec@1 36.719 (41.002) Prec@5 62.500 (66.487) Epoch: [8][820/10010] Time 0.338 (0.334) Data 0.001 (0.004) Loss 2.6907 (2.7357) Prec@1 41.406 (41.046) Prec@5 70.312 (66.510) Epoch: [8][830/10010] Time 0.316 (0.334) Data 0.001 (0.004) Loss 2.7747 (2.7363) Prec@1 39.844 (41.048) Prec@5 64.062 (66.481) Epoch: [8][840/10010] Time 0.336 (0.334) Data 0.000 (0.004) Loss 2.5104 (2.7369) Prec@1 45.312 (41.037) Prec@5 73.438 (66.477) Epoch: [8][850/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 3.1090 (2.7375) Prec@1 37.500 (41.022) Prec@5 58.594 (66.477) Epoch: [8][860/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 2.5691 (2.7369) Prec@1 39.844 (41.013) Prec@5 67.188 (66.488) Epoch: [8][870/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 2.7994 (2.7385) Prec@1 35.156 (40.995) Prec@5 69.531 (66.476) Epoch: [8][880/10010] Time 0.329 (0.334) Data 0.001 (0.003) Loss 3.1814 (2.7376) Prec@1 42.188 (41.028) Prec@5 58.594 (66.482) Epoch: [8][890/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.5879 (2.7376) Prec@1 49.219 (41.052) Prec@5 67.188 (66.471) Epoch: [8][900/10010] Time 0.333 (0.334) Data 0.000 (0.003) Loss 2.8829 (2.7374) Prec@1 39.062 (41.065) Prec@5 66.406 (66.481) Epoch: [8][910/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 2.6972 (2.7380) Prec@1 42.969 (41.068) Prec@5 68.750 (66.467) Epoch: [8][920/10010] Time 0.317 (0.334) Data 0.001 (0.003) Loss 2.9202 (2.7381) Prec@1 35.938 (41.053) Prec@5 61.719 (66.460) Epoch: [8][930/10010] Time 0.331 (0.334) Data 0.000 (0.003) Loss 2.3947 (2.7371) Prec@1 48.438 (41.076) Prec@5 70.312 (66.468) Epoch: [8][940/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.7421 (2.7376) Prec@1 39.062 (41.063) Prec@5 70.312 (66.464) Epoch: [8][950/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 2.4659 (2.7369) Prec@1 48.438 (41.076) Prec@5 75.781 (66.476) Epoch: [8][960/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 2.4990 (2.7368) Prec@1 46.875 (41.093) Prec@5 72.656 (66.492) Epoch: [8][970/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 3.0827 (2.7374) Prec@1 37.500 (41.081) Prec@5 63.281 (66.486) Epoch: [8][980/10010] Time 0.328 (0.334) Data 0.000 (0.003) Loss 2.6282 (2.7378) Prec@1 44.531 (41.061) Prec@5 67.188 (66.472) Epoch: [8][990/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.8113 (2.7381) Prec@1 42.188 (41.048) Prec@5 66.406 (66.471) Epoch: [8][1000/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.4282 (2.7384) Prec@1 42.969 (41.042) Prec@5 70.312 (66.456) Epoch: [8][1010/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.2943 (2.7379) Prec@1 50.781 (41.032) Prec@5 71.875 (66.448) Epoch: [8][1020/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 3.0163 (2.7380) Prec@1 33.594 (41.012) Prec@5 62.500 (66.445) Epoch: [8][1030/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.9002 (2.7382) Prec@1 35.156 (41.000) Prec@5 65.625 (66.443) Epoch: [8][1040/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 2.8987 (2.7379) Prec@1 38.281 (41.003) Prec@5 65.625 (66.460) Epoch: [8][1050/10010] Time 0.347 (0.333) Data 0.000 (0.003) Loss 2.8075 (2.7375) Prec@1 40.625 (41.011) Prec@5 64.062 (66.462) Epoch: [8][1060/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.8332 (2.7379) Prec@1 42.969 (41.011) Prec@5 60.938 (66.448) Epoch: [8][1070/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.9300 (2.7384) Prec@1 35.938 (41.001) Prec@5 63.281 (66.442) Epoch: [8][1080/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.3625 (2.7383) Prec@1 54.688 (41.025) Prec@5 77.344 (66.452) Epoch: [8][1090/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.7613 (2.7384) Prec@1 41.406 (41.007) Prec@5 70.312 (66.444) Epoch: [8][1100/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.8615 (2.7390) Prec@1 32.812 (41.001) Prec@5 64.844 (66.433) Epoch: [8][1110/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.4104 (2.7392) Prec@1 50.000 (41.009) Prec@5 72.656 (66.426) Epoch: [8][1120/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.5638 (2.7399) Prec@1 43.750 (41.005) Prec@5 66.406 (66.399) Epoch: [8][1130/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.9676 (2.7395) Prec@1 38.281 (41.011) Prec@5 64.844 (66.406) Epoch: [8][1140/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 2.8864 (2.7402) Prec@1 35.156 (40.995) Prec@5 60.156 (66.389) Epoch: [8][1150/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.7843 (2.7405) Prec@1 42.188 (40.986) Prec@5 64.062 (66.385) Epoch: [8][1160/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 3.0245 (2.7407) Prec@1 37.500 (41.002) Prec@5 64.844 (66.381) Epoch: [8][1170/10010] Time 0.315 (0.333) Data 0.000 (0.003) Loss 2.6610 (2.7403) Prec@1 36.719 (40.999) Prec@5 65.625 (66.389) Epoch: [8][1180/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 2.8408 (2.7402) Prec@1 38.281 (41.003) Prec@5 67.188 (66.386) Epoch: [8][1190/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.5812 (2.7401) Prec@1 46.875 (41.011) Prec@5 65.625 (66.386) Epoch: [8][1200/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.7106 (2.7397) Prec@1 42.188 (41.019) Prec@5 66.406 (66.392) Epoch: [8][1210/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.8784 (2.7398) Prec@1 35.156 (41.016) Prec@5 62.500 (66.382) Epoch: [8][1220/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.6547 (2.7396) Prec@1 44.531 (41.029) Prec@5 75.000 (66.393) Epoch: [8][1230/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.3660 (2.7396) Prec@1 45.312 (41.030) Prec@5 73.438 (66.401) Epoch: [8][1240/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.6695 (2.7399) Prec@1 47.656 (41.034) Prec@5 68.750 (66.396) Epoch: [8][1250/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.5896 (2.7403) Prec@1 43.750 (41.022) Prec@5 73.438 (66.395) Epoch: [8][1260/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.5643 (2.7398) Prec@1 40.625 (41.026) Prec@5 71.094 (66.410) Epoch: [8][1270/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.8234 (2.7402) Prec@1 46.875 (41.029) Prec@5 62.500 (66.399) Epoch: [8][1280/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.9139 (2.7403) Prec@1 39.844 (41.036) Prec@5 64.844 (66.400) Epoch: [8][1290/10010] Time 0.347 (0.333) Data 0.001 (0.003) Loss 2.6825 (2.7397) Prec@1 41.406 (41.065) Prec@5 68.750 (66.412) Epoch: [8][1300/10010] Time 0.337 (0.333) Data 0.002 (0.003) Loss 2.7201 (2.7398) Prec@1 33.594 (41.054) Prec@5 64.844 (66.401) Epoch: [8][1310/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.7184 (2.7399) Prec@1 44.531 (41.057) Prec@5 66.406 (66.396) Epoch: [8][1320/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.4949 (2.7399) Prec@1 43.750 (41.051) Prec@5 71.875 (66.390) Epoch: [8][1330/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.6543 (2.7396) Prec@1 42.188 (41.059) Prec@5 70.312 (66.400) Epoch: [8][1340/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.5852 (2.7385) Prec@1 41.406 (41.065) Prec@5 64.062 (66.416) Epoch: [8][1350/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.7785 (2.7383) Prec@1 38.281 (41.072) Prec@5 62.500 (66.417) Epoch: [8][1360/10010] Time 0.347 (0.333) Data 0.001 (0.002) Loss 2.9468 (2.7386) Prec@1 39.844 (41.077) Prec@5 66.406 (66.415) Epoch: [8][1370/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.6956 (2.7387) Prec@1 35.938 (41.072) Prec@5 68.750 (66.404) Epoch: [8][1380/10010] Time 0.315 (0.333) Data 0.000 (0.002) Loss 2.8188 (2.7384) Prec@1 39.062 (41.083) Prec@5 63.281 (66.397) Epoch: [8][1390/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.6339 (2.7384) Prec@1 41.406 (41.082) Prec@5 70.312 (66.391) Epoch: [8][1400/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.8937 (2.7386) Prec@1 34.375 (41.077) Prec@5 63.281 (66.387) Epoch: [8][1410/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.6784 (2.7395) Prec@1 39.062 (41.048) Prec@5 67.188 (66.376) Epoch: [8][1420/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.7213 (2.7395) Prec@1 42.969 (41.036) Prec@5 64.844 (66.373) Epoch: [8][1430/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.8122 (2.7398) Prec@1 33.594 (41.021) Prec@5 64.062 (66.367) Epoch: [8][1440/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.7366 (2.7399) Prec@1 46.094 (41.018) Prec@5 65.625 (66.366) Epoch: [8][1450/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.4414 (2.7398) Prec@1 46.094 (41.013) Prec@5 71.875 (66.372) Epoch: [8][1460/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.1862 (2.7398) Prec@1 51.562 (41.016) Prec@5 74.219 (66.373) Epoch: [8][1470/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.8371 (2.7393) Prec@1 39.062 (41.022) Prec@5 66.406 (66.382) Epoch: [8][1480/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.9061 (2.7387) Prec@1 39.062 (41.025) Prec@5 60.156 (66.393) Epoch: [8][1490/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.7348 (2.7387) Prec@1 45.312 (41.037) Prec@5 65.625 (66.392) Epoch: [8][1500/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.7277 (2.7386) Prec@1 34.375 (41.025) Prec@5 67.188 (66.398) Epoch: [8][1510/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.8652 (2.7381) Prec@1 32.812 (41.045) Prec@5 62.500 (66.408) Epoch: [8][1520/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.5442 (2.7378) Prec@1 41.406 (41.045) Prec@5 67.969 (66.407) Epoch: [8][1530/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5704 (2.7374) Prec@1 42.969 (41.052) Prec@5 72.656 (66.423) Epoch: [8][1540/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.8558 (2.7371) Prec@1 38.281 (41.068) Prec@5 64.062 (66.417) Epoch: [8][1550/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.8190 (2.7375) Prec@1 38.281 (41.071) Prec@5 62.500 (66.410) Epoch: [8][1560/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.9439 (2.7384) Prec@1 39.062 (41.060) Prec@5 63.281 (66.398) /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: [8][1570/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 3.0133 (2.7388) Prec@1 32.812 (41.055) Prec@5 65.625 (66.385) Epoch: [8][1580/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.5900 (2.7379) Prec@1 41.406 (41.061) Prec@5 69.531 (66.404) Epoch: [8][1590/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.5694 (2.7379) Prec@1 46.875 (41.063) Prec@5 71.094 (66.416) Epoch: [8][1600/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.7283 (2.7379) Prec@1 38.281 (41.058) Prec@5 66.406 (66.416) Epoch: [8][1610/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 3.1562 (2.7386) Prec@1 39.844 (41.059) Prec@5 59.375 (66.401) Epoch: [8][1620/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.9777 (2.7386) Prec@1 38.281 (41.057) Prec@5 64.062 (66.402) Epoch: [8][1630/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.9806 (2.7392) Prec@1 35.938 (41.049) Prec@5 60.938 (66.388) Epoch: [8][1640/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.8178 (2.7395) Prec@1 46.875 (41.046) Prec@5 67.188 (66.392) Epoch: [8][1650/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.4668 (2.7396) Prec@1 47.656 (41.046) Prec@5 71.094 (66.390) Epoch: [8][1660/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 3.0576 (2.7395) Prec@1 31.250 (41.053) Prec@5 65.625 (66.394) Epoch: [8][1670/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.6785 (2.7395) Prec@1 45.312 (41.062) Prec@5 67.969 (66.394) Epoch: [8][1680/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.7518 (2.7395) Prec@1 42.969 (41.059) Prec@5 61.719 (66.387) Epoch: [8][1690/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.6396 (2.7395) Prec@1 39.844 (41.053) Prec@5 69.531 (66.388) Epoch: [8][1700/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.9085 (2.7402) Prec@1 36.719 (41.045) Prec@5 64.844 (66.381) Epoch: [8][1710/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.9855 (2.7401) Prec@1 41.406 (41.054) Prec@5 63.281 (66.378) Epoch: [8][1720/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 3.1824 (2.7404) Prec@1 35.938 (41.044) Prec@5 59.375 (66.373) Epoch: [8][1730/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.9966 (2.7408) Prec@1 32.812 (41.032) Prec@5 60.156 (66.362) Epoch: [8][1740/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 3.0467 (2.7407) Prec@1 39.844 (41.037) Prec@5 63.281 (66.362) Epoch: [8][1750/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 3.0226 (2.7409) Prec@1 36.719 (41.033) Prec@5 57.031 (66.357) Epoch: [8][1760/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.4369 (2.7404) Prec@1 50.000 (41.041) Prec@5 70.312 (66.365) Epoch: [8][1770/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.6372 (2.7408) Prec@1 41.406 (41.037) Prec@5 66.406 (66.354) Epoch: [8][1780/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.5462 (2.7406) Prec@1 44.531 (41.048) Prec@5 71.094 (66.362) Epoch: [8][1790/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.9447 (2.7400) Prec@1 38.281 (41.059) Prec@5 66.406 (66.378) Epoch: [8][1800/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.9459 (2.7406) Prec@1 39.062 (41.052) Prec@5 60.938 (66.360) Epoch: [8][1810/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.9741 (2.7398) Prec@1 39.844 (41.062) Prec@5 67.188 (66.373) Epoch: [8][1820/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.8284 (2.7411) Prec@1 42.969 (41.045) Prec@5 65.625 (66.356) Epoch: [8][1830/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.9276 (2.7416) Prec@1 35.156 (41.033) Prec@5 64.062 (66.342) Epoch: [8][1840/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 3.1151 (2.7416) Prec@1 37.500 (41.029) Prec@5 57.812 (66.349) Epoch: [8][1850/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.9623 (2.7421) Prec@1 38.281 (41.025) Prec@5 61.719 (66.343) Epoch: [8][1860/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.7663 (2.7418) Prec@1 38.281 (41.039) Prec@5 61.719 (66.345) Epoch: [8][1870/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 3.1260 (2.7421) Prec@1 35.938 (41.033) Prec@5 59.375 (66.341) Epoch: [8][1880/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.3134 (2.7420) Prec@1 46.875 (41.030) Prec@5 70.312 (66.335) Epoch: [8][1890/10010] Time 0.347 (0.333) Data 0.000 (0.002) Loss 3.0314 (2.7422) Prec@1 33.594 (41.025) Prec@5 59.375 (66.325) Epoch: [8][1900/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.5502 (2.7422) Prec@1 41.406 (41.028) Prec@5 66.406 (66.325) Epoch: [8][1910/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.5728 (2.7418) Prec@1 43.750 (41.033) Prec@5 69.531 (66.333) Epoch: [8][1920/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.7534 (2.7421) Prec@1 41.406 (41.026) Prec@5 60.938 (66.323) Epoch: [8][1930/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 3.1869 (2.7429) Prec@1 35.156 (41.017) Prec@5 57.812 (66.306) Epoch: [8][1940/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.8173 (2.7428) Prec@1 39.062 (41.019) Prec@5 61.719 (66.311) Epoch: [8][1950/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.7227 (2.7428) Prec@1 42.969 (41.019) Prec@5 63.281 (66.309) Epoch: [8][1960/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 3.0305 (2.7429) Prec@1 28.906 (41.005) Prec@5 59.375 (66.305) Epoch: [8][1970/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.4625 (2.7435) Prec@1 43.750 (40.996) Prec@5 71.875 (66.296) Epoch: [8][1980/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.9422 (2.7438) Prec@1 38.281 (40.991) Prec@5 60.156 (66.293) Epoch: [8][1990/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 2.6539 (2.7439) Prec@1 40.625 (40.990) Prec@5 70.312 (66.292) Epoch: [8][2000/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.5820 (2.7443) Prec@1 43.750 (40.980) Prec@5 69.531 (66.293) Epoch: [8][2010/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.3403 (2.7436) Prec@1 46.875 (40.992) Prec@5 74.219 (66.301) Epoch: [8][2020/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.6199 (2.7434) Prec@1 39.062 (40.985) Prec@5 70.312 (66.306) Epoch: [8][2030/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.5511 (2.7430) Prec@1 46.094 (40.993) Prec@5 68.750 (66.317) Epoch: [8][2040/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.9192 (2.7431) Prec@1 34.375 (40.980) Prec@5 64.844 (66.309) Epoch: [8][2050/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 3.0192 (2.7433) Prec@1 35.938 (40.983) Prec@5 60.938 (66.306) Epoch: [8][2060/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5433 (2.7431) Prec@1 45.312 (40.985) Prec@5 70.312 (66.309) Epoch: [8][2070/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.7559 (2.7431) Prec@1 38.281 (40.977) Prec@5 64.844 (66.307) Epoch: [8][2080/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.7983 (2.7430) Prec@1 37.500 (40.976) Prec@5 65.625 (66.302) Epoch: [8][2090/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.8522 (2.7433) Prec@1 41.406 (40.976) Prec@5 65.625 (66.299) Epoch: [8][2100/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 3.1089 (2.7434) Prec@1 37.500 (40.979) Prec@5 58.594 (66.297) Epoch: [8][2110/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.1643 (2.7428) Prec@1 50.781 (40.989) Prec@5 79.688 (66.310) Epoch: [8][2120/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 3.1187 (2.7435) Prec@1 41.406 (40.979) Prec@5 60.156 (66.298) Epoch: [8][2130/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.7785 (2.7438) Prec@1 39.062 (40.977) Prec@5 66.406 (66.290) Epoch: [8][2140/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 2.9192 (2.7441) Prec@1 33.594 (40.970) Prec@5 63.281 (66.278) Epoch: [8][2150/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.8438 (2.7439) Prec@1 35.938 (40.973) Prec@5 65.625 (66.282) Epoch: [8][2160/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.8502 (2.7438) Prec@1 45.312 (40.976) Prec@5 67.969 (66.282) Epoch: [8][2170/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.7284 (2.7438) Prec@1 42.188 (40.975) Prec@5 65.625 (66.275) Epoch: [8][2180/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.5210 (2.7441) Prec@1 42.969 (40.968) Prec@5 67.969 (66.270) Epoch: [8][2190/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.5119 (2.7438) Prec@1 48.438 (40.974) Prec@5 75.000 (66.281) Epoch: [8][2200/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.6706 (2.7439) Prec@1 45.312 (40.981) Prec@5 69.531 (66.277) Epoch: [8][2210/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 3.0475 (2.7444) Prec@1 33.594 (40.970) Prec@5 61.719 (66.274) Epoch: [8][2220/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.6009 (2.7447) Prec@1 36.719 (40.963) Prec@5 70.312 (66.268) Epoch: [8][2230/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.7035 (2.7445) Prec@1 43.750 (40.973) Prec@5 64.062 (66.271) Epoch: [8][2240/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.8240 (2.7446) Prec@1 42.969 (40.972) Prec@5 68.750 (66.272) Epoch: [8][2250/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 3.0585 (2.7456) Prec@1 39.844 (40.963) Prec@5 60.156 (66.251) Epoch: [8][2260/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.6379 (2.7451) Prec@1 41.406 (40.971) Prec@5 69.531 (66.261) Epoch: [8][2270/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.6002 (2.7456) Prec@1 44.531 (40.965) Prec@5 64.844 (66.250) Epoch: [8][2280/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.8572 (2.7456) Prec@1 35.156 (40.960) Prec@5 61.719 (66.249) Epoch: [8][2290/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.9844 (2.7455) Prec@1 31.250 (40.963) Prec@5 67.969 (66.254) Epoch: [8][2300/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.7545 (2.7453) Prec@1 39.844 (40.963) Prec@5 64.062 (66.253) Epoch: [8][2310/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 3.2189 (2.7456) Prec@1 29.688 (40.957) Prec@5 60.156 (66.250) Epoch: [8][2320/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6621 (2.7455) Prec@1 46.875 (40.957) Prec@5 67.188 (66.259) Epoch: [8][2330/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5981 (2.7457) Prec@1 44.531 (40.953) Prec@5 72.656 (66.257) Epoch: [8][2340/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.7775 (2.7454) Prec@1 45.312 (40.969) Prec@5 67.969 (66.262) Epoch: [8][2350/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.6996 (2.7455) Prec@1 43.750 (40.976) Prec@5 72.656 (66.261) Epoch: [8][2360/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.4212 (2.7454) Prec@1 50.000 (40.984) Prec@5 71.094 (66.263) Epoch: [8][2370/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.4595 (2.7453) Prec@1 49.219 (40.991) Prec@5 67.188 (66.261) Epoch: [8][2380/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.7172 (2.7458) Prec@1 39.062 (40.974) Prec@5 69.531 (66.250) Epoch: [8][2390/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.8794 (2.7461) Prec@1 38.281 (40.973) Prec@5 61.719 (66.244) Epoch: [8][2400/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 3.0188 (2.7466) Prec@1 35.938 (40.968) Prec@5 60.156 (66.237) Epoch: [8][2410/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.9149 (2.7468) Prec@1 38.281 (40.966) Prec@5 64.062 (66.233) /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: [8][2420/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.4201 (2.7469) Prec@1 50.781 (40.967) Prec@5 71.875 (66.237) Epoch: [8][2430/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.7563 (2.7463) Prec@1 46.875 (40.975) Prec@5 67.969 (66.246) Epoch: [8][2440/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.5805 (2.7470) Prec@1 41.406 (40.970) Prec@5 75.781 (66.240) Epoch: [8][2450/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.7347 (2.7472) Prec@1 39.062 (40.954) Prec@5 66.406 (66.234) Epoch: [8][2460/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.8621 (2.7474) Prec@1 37.500 (40.951) Prec@5 60.938 (66.231) Epoch: [8][2470/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.9709 (2.7476) Prec@1 39.062 (40.949) Prec@5 60.156 (66.227) Epoch: [8][2480/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.7474 (2.7481) Prec@1 39.062 (40.933) Prec@5 69.531 (66.218) Epoch: [8][2490/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.6535 (2.7475) Prec@1 41.406 (40.946) Prec@5 67.188 (66.230) Epoch: [8][2500/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 3.1002 (2.7480) Prec@1 32.812 (40.936) Prec@5 57.812 (66.215) Epoch: [8][2510/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.6375 (2.7482) Prec@1 36.719 (40.924) Prec@5 64.844 (66.212) Epoch: [8][2520/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6155 (2.7487) Prec@1 45.312 (40.916) Prec@5 67.969 (66.206) Epoch: [8][2530/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.2244 (2.7484) Prec@1 48.438 (40.914) Prec@5 75.781 (66.211) Epoch: [8][2540/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.9336 (2.7486) Prec@1 32.031 (40.911) Prec@5 63.281 (66.208) Epoch: [8][2550/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6316 (2.7489) Prec@1 43.750 (40.909) Prec@5 69.531 (66.201) Epoch: [8][2560/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.8976 (2.7492) Prec@1 39.844 (40.898) Prec@5 61.719 (66.197) Epoch: [8][2570/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7577 (2.7490) Prec@1 36.719 (40.891) Prec@5 68.750 (66.201) Epoch: [8][2580/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.8883 (2.7488) Prec@1 41.406 (40.901) Prec@5 62.500 (66.206) Epoch: [8][2590/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.4286 (2.7485) Prec@1 45.312 (40.901) Prec@5 69.531 (66.207) Epoch: [8][2600/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.9517 (2.7481) Prec@1 34.375 (40.904) Prec@5 66.406 (66.213) Epoch: [8][2610/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.8338 (2.7475) Prec@1 38.281 (40.914) Prec@5 66.406 (66.226) Epoch: [8][2620/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 2.9283 (2.7479) Prec@1 35.938 (40.905) Prec@5 64.844 (66.219) Epoch: [8][2630/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6696 (2.7481) Prec@1 40.625 (40.897) Prec@5 67.969 (66.216) Epoch: [8][2640/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 3.1542 (2.7480) Prec@1 35.156 (40.897) Prec@5 58.594 (66.212) Epoch: [8][2650/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 3.1369 (2.7481) Prec@1 36.719 (40.899) Prec@5 54.688 (66.214) Epoch: [8][2660/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.6068 (2.7481) Prec@1 39.844 (40.901) Prec@5 74.219 (66.217) Epoch: [8][2670/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.5262 (2.7484) Prec@1 39.062 (40.890) Prec@5 71.875 (66.215) Epoch: [8][2680/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.6535 (2.7484) Prec@1 44.531 (40.890) Prec@5 67.969 (66.210) Epoch: [8][2690/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.8394 (2.7484) Prec@1 34.375 (40.885) Prec@5 67.969 (66.210) Epoch: [8][2700/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.7079 (2.7483) Prec@1 39.844 (40.880) Prec@5 64.844 (66.209) Epoch: [8][2710/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6899 (2.7481) Prec@1 37.500 (40.883) Prec@5 64.844 (66.209) Epoch: [8][2720/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5006 (2.7484) Prec@1 47.656 (40.877) Prec@5 71.094 (66.209) Epoch: [8][2730/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8136 (2.7484) Prec@1 44.531 (40.884) Prec@5 59.375 (66.205) Epoch: [8][2740/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6157 (2.7482) Prec@1 47.656 (40.886) Prec@5 68.750 (66.206) Epoch: [8][2750/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5223 (2.7480) Prec@1 43.750 (40.886) Prec@5 72.656 (66.209) Epoch: [8][2760/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6725 (2.7477) Prec@1 46.094 (40.892) Prec@5 68.750 (66.212) Epoch: [8][2770/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.4810 (2.7478) Prec@1 47.656 (40.899) Prec@5 71.094 (66.217) Epoch: [8][2780/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.8905 (2.7479) Prec@1 42.969 (40.890) Prec@5 65.625 (66.220) Epoch: [8][2790/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.4266 (2.7478) Prec@1 46.094 (40.891) Prec@5 74.219 (66.222) Epoch: [8][2800/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.3226 (2.7480) Prec@1 49.219 (40.889) Prec@5 75.781 (66.222) Epoch: [8][2810/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6640 (2.7481) Prec@1 40.625 (40.884) Prec@5 68.750 (66.221) Epoch: [8][2820/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6168 (2.7480) Prec@1 39.844 (40.883) Prec@5 66.406 (66.221) Epoch: [8][2830/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7440 (2.7480) Prec@1 36.719 (40.879) Prec@5 62.500 (66.222) Epoch: [8][2840/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6861 (2.7483) Prec@1 42.969 (40.877) Prec@5 67.188 (66.218) Epoch: [8][2850/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5046 (2.7483) Prec@1 41.406 (40.876) Prec@5 71.094 (66.218) Epoch: [8][2860/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6776 (2.7484) Prec@1 38.281 (40.880) Prec@5 67.188 (66.212) Epoch: [8][2870/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6898 (2.7482) Prec@1 41.406 (40.887) Prec@5 64.844 (66.210) Epoch: [8][2880/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6580 (2.7483) Prec@1 43.750 (40.886) Prec@5 67.188 (66.207) Epoch: [8][2890/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4614 (2.7482) Prec@1 43.750 (40.885) Prec@5 71.094 (66.209) Epoch: [8][2900/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.7797 (2.7486) Prec@1 39.844 (40.874) Prec@5 64.844 (66.198) Epoch: [8][2910/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5635 (2.7485) Prec@1 42.969 (40.875) Prec@5 67.188 (66.196) Epoch: [8][2920/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7699 (2.7486) Prec@1 35.156 (40.876) Prec@5 67.188 (66.191) Epoch: [8][2930/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9023 (2.7483) Prec@1 41.406 (40.883) Prec@5 62.500 (66.195) Epoch: [8][2940/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0398 (2.7483) Prec@1 35.156 (40.882) Prec@5 60.938 (66.191) Epoch: [8][2950/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8620 (2.7485) Prec@1 43.750 (40.881) Prec@5 62.500 (66.187) Epoch: [8][2960/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.3924 (2.7483) Prec@1 47.656 (40.881) Prec@5 73.438 (66.191) Epoch: [8][2970/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.1569 (2.7480) Prec@1 50.781 (40.879) Prec@5 71.875 (66.195) Epoch: [8][2980/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6054 (2.7479) Prec@1 46.875 (40.881) Prec@5 69.531 (66.198) Epoch: [8][2990/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9541 (2.7482) Prec@1 42.188 (40.873) Prec@5 60.156 (66.193) Epoch: [8][3000/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6726 (2.7481) Prec@1 40.625 (40.869) Prec@5 68.750 (66.196) Epoch: [8][3010/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6115 (2.7485) Prec@1 45.312 (40.864) Prec@5 64.062 (66.189) Epoch: [8][3020/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8633 (2.7486) Prec@1 36.719 (40.864) Prec@5 67.188 (66.189) Epoch: [8][3030/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7519 (2.7482) Prec@1 42.188 (40.872) Prec@5 66.406 (66.195) Epoch: [8][3040/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8671 (2.7483) Prec@1 42.969 (40.872) Prec@5 66.406 (66.195) Epoch: [8][3050/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.2359 (2.7483) Prec@1 50.781 (40.872) Prec@5 74.219 (66.196) Epoch: [8][3060/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6903 (2.7484) Prec@1 41.406 (40.872) Prec@5 63.281 (66.190) Epoch: [8][3070/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5939 (2.7483) Prec@1 45.312 (40.873) Prec@5 66.406 (66.190) Epoch: [8][3080/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8495 (2.7485) Prec@1 37.500 (40.873) Prec@5 63.281 (66.186) Epoch: [8][3090/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6196 (2.7485) Prec@1 45.312 (40.874) Prec@5 72.656 (66.190) Epoch: [8][3100/10010] Time 0.312 (0.332) Data 0.000 (0.001) Loss 2.8632 (2.7485) Prec@1 43.750 (40.882) Prec@5 64.844 (66.189) Epoch: [8][3110/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.5794 (2.7485) Prec@1 39.844 (40.886) Prec@5 64.844 (66.188) Epoch: [8][3120/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5160 (2.7487) Prec@1 40.625 (40.882) Prec@5 71.094 (66.188) Epoch: [8][3130/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7221 (2.7485) Prec@1 42.188 (40.882) Prec@5 62.500 (66.188) Epoch: [8][3140/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6982 (2.7485) Prec@1 39.844 (40.879) Prec@5 67.188 (66.184) Epoch: [8][3150/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6153 (2.7488) Prec@1 52.344 (40.877) Prec@5 68.750 (66.178) Epoch: [8][3160/10010] Time 0.310 (0.332) Data 0.001 (0.001) Loss 2.8387 (2.7488) Prec@1 34.375 (40.872) Prec@5 65.625 (66.182) Epoch: [8][3170/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9752 (2.7491) Prec@1 38.281 (40.867) Prec@5 59.375 (66.179) Epoch: [8][3180/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6752 (2.7491) Prec@1 42.188 (40.869) Prec@5 70.312 (66.176) Epoch: [8][3190/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6203 (2.7494) Prec@1 40.625 (40.866) Prec@5 68.750 (66.170) Epoch: [8][3200/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6579 (2.7492) Prec@1 39.062 (40.861) Prec@5 63.281 (66.170) Epoch: [8][3210/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 3.1360 (2.7493) Prec@1 31.250 (40.856) Prec@5 60.156 (66.166) Epoch: [8][3220/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7169 (2.7490) Prec@1 41.406 (40.860) Prec@5 66.406 (66.172) Epoch: [8][3230/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5893 (2.7487) Prec@1 41.406 (40.866) Prec@5 67.188 (66.178) Epoch: [8][3240/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8532 (2.7485) Prec@1 38.281 (40.869) Prec@5 64.062 (66.181) Epoch: [8][3250/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1495 (2.7488) Prec@1 32.031 (40.859) Prec@5 61.719 (66.179) Epoch: [8][3260/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7413 (2.7487) Prec@1 41.406 (40.860) Prec@5 67.188 (66.178) Epoch: [8][3270/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5558 (2.7486) Prec@1 47.656 (40.864) Prec@5 67.969 (66.179) Epoch: [8][3280/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7659 (2.7486) Prec@1 42.969 (40.864) Prec@5 62.500 (66.176) Epoch: [8][3290/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5917 (2.7484) Prec@1 41.406 (40.869) Prec@5 61.719 (66.179) Epoch: [8][3300/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5418 (2.7482) Prec@1 41.406 (40.867) Prec@5 71.875 (66.182) Epoch: [8][3310/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6773 (2.7482) Prec@1 43.750 (40.872) Prec@5 69.531 (66.187) Epoch: [8][3320/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6107 (2.7482) Prec@1 43.750 (40.874) Prec@5 66.406 (66.186) Epoch: [8][3330/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8614 (2.7482) Prec@1 35.156 (40.874) Prec@5 66.406 (66.187) Epoch: [8][3340/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5886 (2.7484) Prec@1 42.969 (40.871) Prec@5 71.875 (66.185) Epoch: [8][3350/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4711 (2.7485) Prec@1 47.656 (40.873) Prec@5 68.750 (66.182) Epoch: [8][3360/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6277 (2.7483) Prec@1 39.844 (40.869) Prec@5 66.406 (66.184) Epoch: [8][3370/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8295 (2.7484) Prec@1 35.938 (40.867) Prec@5 64.062 (66.185) Epoch: [8][3380/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5886 (2.7483) Prec@1 41.406 (40.869) Prec@5 71.094 (66.189) Epoch: [8][3390/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.0687 (2.7488) Prec@1 39.062 (40.860) Prec@5 65.625 (66.180) Epoch: [8][3400/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5823 (2.7488) Prec@1 46.875 (40.862) Prec@5 67.188 (66.179) Epoch: [8][3410/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8422 (2.7491) Prec@1 35.156 (40.855) Prec@5 64.844 (66.176) Epoch: [8][3420/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.0859 (2.7495) Prec@1 34.375 (40.849) Prec@5 61.719 (66.171) Epoch: [8][3430/10010] Time 0.311 (0.332) Data 0.001 (0.001) Loss 3.0912 (2.7495) Prec@1 35.938 (40.847) Prec@5 58.594 (66.168) Epoch: [8][3440/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.1674 (2.7497) Prec@1 38.281 (40.849) Prec@5 59.375 (66.166) Epoch: [8][3450/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9174 (2.7497) Prec@1 41.406 (40.850) Prec@5 63.281 (66.165) Epoch: [8][3460/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5571 (2.7495) Prec@1 40.625 (40.849) Prec@5 67.969 (66.166) Epoch: [8][3470/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6757 (2.7493) Prec@1 37.500 (40.850) Prec@5 71.094 (66.168) Epoch: [8][3480/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8687 (2.7499) Prec@1 35.156 (40.841) Prec@5 64.844 (66.162) Epoch: [8][3490/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.3585 (2.7498) Prec@1 45.312 (40.837) Prec@5 75.000 (66.167) Epoch: [8][3500/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8812 (2.7498) Prec@1 38.281 (40.837) Prec@5 60.938 (66.165) Epoch: [8][3510/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7571 (2.7498) Prec@1 42.969 (40.837) Prec@5 67.188 (66.167) /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: [8][3520/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9957 (2.7501) Prec@1 34.375 (40.837) Prec@5 62.500 (66.161) Epoch: [8][3530/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6461 (2.7501) Prec@1 38.281 (40.835) Prec@5 66.406 (66.162) Epoch: [8][3540/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7321 (2.7497) Prec@1 44.531 (40.841) Prec@5 67.969 (66.168) Epoch: [8][3550/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9770 (2.7500) Prec@1 39.844 (40.839) Prec@5 55.469 (66.163) Epoch: [8][3560/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.9526 (2.7502) Prec@1 36.719 (40.829) Prec@5 63.281 (66.159) Epoch: [8][3570/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6323 (2.7502) Prec@1 39.844 (40.827) Prec@5 68.750 (66.159) Epoch: [8][3580/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9229 (2.7508) Prec@1 37.500 (40.818) Prec@5 62.500 (66.148) Epoch: [8][3590/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8165 (2.7505) Prec@1 46.094 (40.822) Prec@5 64.844 (66.153) Epoch: [8][3600/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5838 (2.7505) Prec@1 46.094 (40.822) Prec@5 69.531 (66.155) Epoch: [8][3610/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4349 (2.7505) Prec@1 46.094 (40.824) Prec@5 74.219 (66.157) Epoch: [8][3620/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5730 (2.7504) Prec@1 42.969 (40.826) Prec@5 71.875 (66.161) Epoch: [8][3630/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8369 (2.7501) Prec@1 41.406 (40.831) Prec@5 64.844 (66.165) Epoch: [8][3640/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.0366 (2.7502) Prec@1 37.500 (40.830) Prec@5 61.719 (66.164) Epoch: [8][3650/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7735 (2.7499) Prec@1 42.969 (40.838) Prec@5 66.406 (66.170) Epoch: [8][3660/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7987 (2.7500) Prec@1 38.281 (40.839) Prec@5 64.062 (66.171) Epoch: [8][3670/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.5749 (2.7499) Prec@1 44.531 (40.840) Prec@5 63.281 (66.169) Epoch: [8][3680/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8438 (2.7498) Prec@1 35.938 (40.842) Prec@5 66.406 (66.170) Epoch: [8][3690/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6680 (2.7499) Prec@1 41.406 (40.845) Prec@5 71.094 (66.172) Epoch: [8][3700/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7443 (2.7497) Prec@1 41.406 (40.852) Prec@5 69.531 (66.176) Epoch: [8][3710/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5547 (2.7498) Prec@1 42.188 (40.850) Prec@5 67.188 (66.171) Epoch: [8][3720/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7408 (2.7499) Prec@1 43.750 (40.853) Prec@5 66.406 (66.167) Epoch: [8][3730/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7926 (2.7498) Prec@1 40.625 (40.854) Prec@5 71.094 (66.169) Epoch: [8][3740/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6060 (2.7496) Prec@1 44.531 (40.858) Prec@5 67.188 (66.172) Epoch: [8][3750/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5291 (2.7493) Prec@1 43.750 (40.860) Prec@5 62.500 (66.171) Epoch: [8][3760/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7573 (2.7495) Prec@1 41.406 (40.860) Prec@5 63.281 (66.168) Epoch: [8][3770/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7327 (2.7499) Prec@1 39.062 (40.853) Prec@5 65.625 (66.162) Epoch: [8][3780/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8064 (2.7499) Prec@1 39.062 (40.850) Prec@5 63.281 (66.160) Epoch: [8][3790/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8524 (2.7499) Prec@1 39.062 (40.850) Prec@5 67.969 (66.162) Epoch: [8][3800/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.8237 (2.7499) Prec@1 35.156 (40.848) Prec@5 64.062 (66.163) Epoch: [8][3810/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.9658 (2.7498) Prec@1 31.250 (40.848) Prec@5 66.406 (66.166) Epoch: [8][3820/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6468 (2.7496) Prec@1 40.625 (40.848) Prec@5 67.969 (66.170) Epoch: [8][3830/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7585 (2.7498) Prec@1 42.188 (40.850) Prec@5 66.406 (66.165) Epoch: [8][3840/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9362 (2.7501) Prec@1 40.625 (40.845) Prec@5 64.844 (66.161) Epoch: [8][3850/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7223 (2.7501) Prec@1 39.844 (40.845) Prec@5 69.531 (66.165) Epoch: [8][3860/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8982 (2.7502) Prec@1 42.188 (40.843) Prec@5 64.062 (66.167) Epoch: [8][3870/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6816 (2.7501) Prec@1 42.188 (40.842) Prec@5 69.531 (66.170) /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: [8][3880/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.2399 (2.7503) Prec@1 32.812 (40.838) Prec@5 56.250 (66.165) Epoch: [8][3890/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7548 (2.7504) Prec@1 42.188 (40.837) Prec@5 67.188 (66.163) Epoch: [8][3900/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6979 (2.7504) Prec@1 42.188 (40.841) Prec@5 65.625 (66.164) Epoch: [8][3910/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6377 (2.7503) Prec@1 42.188 (40.840) Prec@5 67.969 (66.165) Epoch: [8][3920/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7353 (2.7503) Prec@1 37.500 (40.836) Prec@5 67.969 (66.163) Epoch: [8][3930/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7398 (2.7503) Prec@1 42.188 (40.838) Prec@5 63.281 (66.161) Epoch: [8][3940/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8837 (2.7505) Prec@1 37.500 (40.836) Prec@5 64.062 (66.156) Epoch: [8][3950/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8157 (2.7505) Prec@1 41.406 (40.839) Prec@5 64.844 (66.157) Epoch: [8][3960/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8432 (2.7506) Prec@1 37.500 (40.836) Prec@5 66.406 (66.161) Epoch: [8][3970/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6915 (2.7504) Prec@1 42.969 (40.837) Prec@5 67.188 (66.162) Epoch: [8][3980/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7178 (2.7504) Prec@1 38.281 (40.838) Prec@5 69.531 (66.163) Epoch: [8][3990/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4853 (2.7502) Prec@1 51.562 (40.842) Prec@5 71.094 (66.170) Epoch: [8][4000/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7284 (2.7503) Prec@1 37.500 (40.836) Prec@5 65.625 (66.169) Epoch: [8][4010/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.9711 (2.7502) Prec@1 39.062 (40.837) Prec@5 64.844 (66.172) Epoch: [8][4020/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4636 (2.7502) Prec@1 46.094 (40.836) Prec@5 70.312 (66.172) Epoch: [8][4030/10010] Time 0.311 (0.332) Data 0.001 (0.001) Loss 2.2192 (2.7499) Prec@1 46.875 (40.841) Prec@5 78.125 (66.181) Epoch: [8][4040/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6201 (2.7501) Prec@1 44.531 (40.840) Prec@5 68.750 (66.179) Epoch: [8][4050/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6269 (2.7501) Prec@1 40.625 (40.837) Prec@5 67.188 (66.175) Epoch: [8][4060/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.9660 (2.7504) Prec@1 35.156 (40.834) Prec@5 61.719 (66.172) Epoch: [8][4070/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6878 (2.7502) Prec@1 42.188 (40.833) Prec@5 68.750 (66.177) Epoch: [8][4080/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.2482 (2.7504) Prec@1 33.594 (40.832) Prec@5 57.812 (66.172) Epoch: [8][4090/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6820 (2.7504) Prec@1 39.844 (40.828) Prec@5 69.531 (66.170) Epoch: [8][4100/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7777 (2.7504) Prec@1 42.188 (40.831) Prec@5 64.844 (66.168) Epoch: [8][4110/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4995 (2.7504) Prec@1 42.969 (40.830) Prec@5 71.875 (66.169) Epoch: [8][4120/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8364 (2.7503) Prec@1 40.625 (40.834) Prec@5 61.719 (66.168) Epoch: [8][4130/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7187 (2.7504) Prec@1 41.406 (40.834) Prec@5 64.062 (66.166) Epoch: [8][4140/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6052 (2.7506) Prec@1 41.406 (40.830) Prec@5 67.188 (66.163) Epoch: [8][4150/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0953 (2.7506) Prec@1 37.500 (40.831) Prec@5 62.500 (66.163) Epoch: [8][4160/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6973 (2.7505) Prec@1 35.156 (40.833) Prec@5 68.750 (66.166) Epoch: [8][4170/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7208 (2.7508) Prec@1 42.969 (40.830) Prec@5 64.062 (66.160) Epoch: [8][4180/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.0223 (2.7509) Prec@1 42.188 (40.828) Prec@5 61.719 (66.162) Epoch: [8][4190/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.0338 (2.7508) Prec@1 35.938 (40.829) Prec@5 59.375 (66.164) Epoch: [8][4200/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4579 (2.7510) Prec@1 43.750 (40.830) Prec@5 71.875 (66.165) Epoch: [8][4210/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8701 (2.7506) Prec@1 42.969 (40.836) Prec@5 60.156 (66.169) Epoch: [8][4220/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7670 (2.7505) Prec@1 41.406 (40.840) Prec@5 69.531 (66.172) Epoch: [8][4230/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6638 (2.7506) Prec@1 46.094 (40.837) Prec@5 68.750 (66.172) Epoch: [8][4240/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5028 (2.7505) Prec@1 44.531 (40.839) Prec@5 71.875 (66.171) Epoch: [8][4250/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6884 (2.7505) Prec@1 40.625 (40.838) Prec@5 66.406 (66.173) Epoch: [8][4260/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7978 (2.7503) Prec@1 41.406 (40.840) Prec@5 60.938 (66.176) Epoch: [8][4270/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.4893 (2.7504) Prec@1 41.406 (40.839) Prec@5 68.750 (66.173) Epoch: [8][4280/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.6407 (2.7503) Prec@1 44.531 (40.840) Prec@5 68.750 (66.174) Epoch: [8][4290/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8069 (2.7504) Prec@1 46.094 (40.843) Prec@5 64.844 (66.171) Epoch: [8][4300/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4573 (2.7504) Prec@1 50.000 (40.844) Prec@5 67.188 (66.174) Epoch: [8][4310/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7356 (2.7504) Prec@1 41.406 (40.845) Prec@5 67.188 (66.175) Epoch: [8][4320/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9323 (2.7503) Prec@1 38.281 (40.848) Prec@5 64.062 (66.179) Epoch: [8][4330/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8421 (2.7503) Prec@1 42.188 (40.849) Prec@5 60.938 (66.177) Epoch: [8][4340/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.9729 (2.7503) Prec@1 38.281 (40.848) Prec@5 64.062 (66.177) Epoch: [8][4350/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0533 (2.7502) Prec@1 35.938 (40.849) Prec@5 62.500 (66.177) Epoch: [8][4360/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7971 (2.7502) Prec@1 39.844 (40.848) Prec@5 66.406 (66.176) Epoch: [8][4370/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9780 (2.7503) Prec@1 37.500 (40.850) Prec@5 62.500 (66.176) Epoch: [8][4380/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7337 (2.7502) Prec@1 41.406 (40.851) Prec@5 67.188 (66.177) Epoch: [8][4390/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8612 (2.7503) Prec@1 39.062 (40.845) Prec@5 61.719 (66.174) Epoch: [8][4400/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9332 (2.7505) Prec@1 36.719 (40.841) Prec@5 68.750 (66.171) Epoch: [8][4410/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8745 (2.7503) Prec@1 35.156 (40.842) Prec@5 68.750 (66.174) Epoch: [8][4420/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7369 (2.7504) Prec@1 40.625 (40.841) Prec@5 64.844 (66.170) Epoch: [8][4430/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8445 (2.7506) Prec@1 41.406 (40.840) Prec@5 64.062 (66.169) Epoch: [8][4440/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6149 (2.7505) Prec@1 46.875 (40.840) Prec@5 67.188 (66.169) Epoch: [8][4450/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7133 (2.7507) Prec@1 43.750 (40.841) Prec@5 64.062 (66.168) Epoch: [8][4460/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8247 (2.7508) Prec@1 42.188 (40.839) Prec@5 68.750 (66.166) Epoch: [8][4470/10010] Time 0.325 (0.332) Data 0.002 (0.001) Loss 2.8594 (2.7507) Prec@1 38.281 (40.840) Prec@5 66.406 (66.168) Epoch: [8][4480/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8439 (2.7508) Prec@1 38.281 (40.839) Prec@5 67.188 (66.166) Epoch: [8][4490/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9183 (2.7506) Prec@1 42.188 (40.841) Prec@5 62.500 (66.170) Epoch: [8][4500/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6206 (2.7504) Prec@1 37.500 (40.842) Prec@5 67.969 (66.173) Epoch: [8][4510/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0950 (2.7506) Prec@1 34.375 (40.840) Prec@5 57.812 (66.169) Epoch: [8][4520/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8613 (2.7505) Prec@1 41.406 (40.842) Prec@5 65.625 (66.171) Epoch: [8][4530/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4979 (2.7505) Prec@1 41.406 (40.842) Prec@5 71.094 (66.172) Epoch: [8][4540/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4552 (2.7505) Prec@1 45.312 (40.840) Prec@5 69.531 (66.170) Epoch: [8][4550/10010] Time 0.334 (0.332) Data 0.002 (0.001) Loss 2.5961 (2.7506) Prec@1 44.531 (40.840) Prec@5 73.438 (66.168) Epoch: [8][4560/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8864 (2.7506) Prec@1 42.969 (40.838) Prec@5 64.844 (66.164) Epoch: [8][4570/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.8246 (2.7508) Prec@1 38.281 (40.836) Prec@5 60.938 (66.159) Epoch: [8][4580/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5526 (2.7507) Prec@1 45.312 (40.841) Prec@5 74.219 (66.161) Epoch: [8][4590/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.8863 (2.7506) Prec@1 36.719 (40.844) Prec@5 60.938 (66.162) Epoch: [8][4600/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8431 (2.7505) Prec@1 41.406 (40.849) Prec@5 64.062 (66.163) Epoch: [8][4610/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8377 (2.7507) Prec@1 39.062 (40.848) Prec@5 64.844 (66.161) Epoch: [8][4620/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5709 (2.7506) Prec@1 44.531 (40.850) Prec@5 71.094 (66.162) Epoch: [8][4630/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5719 (2.7505) Prec@1 39.062 (40.852) Prec@5 67.188 (66.164) Epoch: [8][4640/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1010 (2.7506) Prec@1 35.156 (40.853) Prec@5 59.375 (66.162) Epoch: [8][4650/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6915 (2.7505) Prec@1 40.625 (40.854) Prec@5 68.750 (66.166) Epoch: [8][4660/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7124 (2.7506) Prec@1 39.062 (40.849) Prec@5 62.500 (66.159) Epoch: [8][4670/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5563 (2.7507) Prec@1 42.969 (40.849) Prec@5 69.531 (66.157) Epoch: [8][4680/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7295 (2.7506) Prec@1 39.844 (40.853) Prec@5 64.844 (66.157) Epoch: [8][4690/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7971 (2.7505) Prec@1 43.750 (40.852) Prec@5 64.844 (66.159) Epoch: [8][4700/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5624 (2.7505) Prec@1 46.875 (40.853) Prec@5 69.531 (66.159) Epoch: [8][4710/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6270 (2.7505) Prec@1 46.875 (40.855) Prec@5 67.969 (66.156) Epoch: [8][4720/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9449 (2.7503) Prec@1 39.062 (40.855) Prec@5 64.844 (66.156) Epoch: [8][4730/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8463 (2.7504) Prec@1 43.750 (40.850) Prec@5 65.625 (66.154) Epoch: [8][4740/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9960 (2.7504) Prec@1 35.938 (40.848) Prec@5 62.500 (66.153) Epoch: [8][4750/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8493 (2.7506) Prec@1 40.625 (40.847) Prec@5 65.625 (66.152) Epoch: [8][4760/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6743 (2.7506) Prec@1 49.219 (40.851) Prec@5 65.625 (66.150) Epoch: [8][4770/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4759 (2.7506) Prec@1 42.969 (40.851) Prec@5 73.438 (66.152) Epoch: [8][4780/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8890 (2.7506) Prec@1 39.844 (40.849) Prec@5 61.719 (66.153) Epoch: [8][4790/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9434 (2.7507) Prec@1 39.062 (40.850) Prec@5 61.719 (66.150) Epoch: [8][4800/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7871 (2.7507) Prec@1 35.938 (40.846) Prec@5 70.312 (66.151) Epoch: [8][4810/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.8002 (2.7507) Prec@1 36.719 (40.847) Prec@5 69.531 (66.153) Epoch: [8][4820/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5643 (2.7509) Prec@1 42.969 (40.844) Prec@5 69.531 (66.151) Epoch: [8][4830/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0303 (2.7511) Prec@1 43.750 (40.843) Prec@5 60.156 (66.147) Epoch: [8][4840/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.8516 (2.7510) Prec@1 35.938 (40.845) Prec@5 64.062 (66.150) Epoch: [8][4850/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8844 (2.7510) Prec@1 36.719 (40.842) Prec@5 60.938 (66.150) Epoch: [8][4860/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9198 (2.7511) Prec@1 39.062 (40.839) Prec@5 64.844 (66.147) Epoch: [8][4870/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.3095 (2.7512) Prec@1 32.031 (40.836) Prec@5 56.250 (66.148) Epoch: [8][4880/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8568 (2.7512) Prec@1 33.594 (40.834) Prec@5 67.188 (66.149) Epoch: [8][4890/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5948 (2.7511) Prec@1 46.875 (40.832) Prec@5 67.188 (66.150) Epoch: [8][4900/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4922 (2.7512) Prec@1 45.312 (40.832) Prec@5 67.188 (66.148) Epoch: [8][4910/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8115 (2.7512) Prec@1 40.625 (40.833) Prec@5 64.062 (66.145) Epoch: [8][4920/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7043 (2.7511) Prec@1 42.969 (40.832) Prec@5 66.406 (66.146) Epoch: [8][4930/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9497 (2.7510) Prec@1 35.938 (40.833) Prec@5 64.062 (66.149) Epoch: [8][4940/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7311 (2.7508) Prec@1 39.844 (40.837) Prec@5 66.406 (66.149) Epoch: [8][4950/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.1027 (2.7507) Prec@1 36.719 (40.840) Prec@5 62.500 (66.154) Epoch: [8][4960/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7333 (2.7505) Prec@1 37.500 (40.840) Prec@5 64.844 (66.158) Epoch: [8][4970/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 3.0405 (2.7506) Prec@1 39.062 (40.840) Prec@5 61.719 (66.160) Epoch: [8][4980/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9590 (2.7505) Prec@1 37.500 (40.841) Prec@5 61.719 (66.160) Epoch: [8][4990/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8246 (2.7505) Prec@1 43.750 (40.838) Prec@5 64.844 (66.158) Epoch: [8][5000/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 3.0886 (2.7507) Prec@1 34.375 (40.832) Prec@5 54.688 (66.154) Epoch: [8][5010/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.1447 (2.7506) Prec@1 30.469 (40.832) Prec@5 63.281 (66.154) Epoch: [8][5020/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7119 (2.7507) Prec@1 40.625 (40.831) Prec@5 65.625 (66.151) Epoch: [8][5030/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5080 (2.7507) Prec@1 46.094 (40.832) Prec@5 69.531 (66.150) Epoch: [8][5040/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7444 (2.7509) Prec@1 42.969 (40.833) Prec@5 68.750 (66.151) Epoch: [8][5050/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8108 (2.7509) Prec@1 40.625 (40.836) Prec@5 61.719 (66.150) Epoch: [8][5060/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6602 (2.7510) Prec@1 37.500 (40.832) Prec@5 67.969 (66.148) Epoch: [8][5070/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7681 (2.7510) Prec@1 40.625 (40.835) Prec@5 64.062 (66.148) Epoch: [8][5080/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0402 (2.7511) Prec@1 32.031 (40.831) Prec@5 60.156 (66.149) Epoch: [8][5090/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4696 (2.7509) Prec@1 50.000 (40.837) Prec@5 73.438 (66.156) Epoch: [8][5100/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7962 (2.7509) Prec@1 39.062 (40.842) Prec@5 63.281 (66.154) Epoch: [8][5110/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7488 (2.7511) Prec@1 40.625 (40.836) Prec@5 67.188 (66.151) Epoch: [8][5120/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7320 (2.7511) Prec@1 38.281 (40.836) Prec@5 65.625 (66.154) Epoch: [8][5130/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6409 (2.7511) Prec@1 37.500 (40.831) Prec@5 69.531 (66.155) Epoch: [8][5140/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7664 (2.7510) Prec@1 39.844 (40.831) Prec@5 69.531 (66.156) Epoch: [8][5150/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6969 (2.7510) Prec@1 42.969 (40.832) Prec@5 64.062 (66.153) Epoch: [8][5160/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7074 (2.7510) Prec@1 45.312 (40.832) Prec@5 68.750 (66.156) Epoch: [8][5170/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7128 (2.7511) Prec@1 41.406 (40.831) Prec@5 63.281 (66.152) Epoch: [8][5180/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5565 (2.7512) Prec@1 43.750 (40.829) Prec@5 69.531 (66.151) Epoch: [8][5190/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.0104 (2.7515) Prec@1 40.625 (40.826) Prec@5 62.500 (66.145) Epoch: [8][5200/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6438 (2.7515) Prec@1 40.625 (40.827) Prec@5 68.750 (66.144) Epoch: [8][5210/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7964 (2.7515) Prec@1 46.094 (40.827) Prec@5 64.844 (66.143) Epoch: [8][5220/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6966 (2.7515) Prec@1 42.188 (40.827) Prec@5 69.531 (66.145) Epoch: [8][5230/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9028 (2.7515) Prec@1 38.281 (40.825) Prec@5 61.719 (66.144) Epoch: [8][5240/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8062 (2.7516) Prec@1 42.188 (40.828) Prec@5 67.969 (66.145) Epoch: [8][5250/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.9301 (2.7516) Prec@1 33.594 (40.830) Prec@5 60.156 (66.144) /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: [8][5260/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6824 (2.7516) Prec@1 35.938 (40.831) Prec@5 71.875 (66.143) Epoch: [8][5270/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.3700 (2.7516) Prec@1 48.438 (40.833) Prec@5 73.438 (66.143) Epoch: [8][5280/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.7579 (2.7517) Prec@1 37.500 (40.831) Prec@5 66.406 (66.141) Epoch: [8][5290/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9740 (2.7519) Prec@1 35.156 (40.825) Prec@5 65.625 (66.138) Epoch: [8][5300/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.5884 (2.7518) Prec@1 46.875 (40.832) Prec@5 69.531 (66.138) Epoch: [8][5310/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8057 (2.7519) Prec@1 43.750 (40.827) Prec@5 64.844 (66.134) Epoch: [8][5320/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8821 (2.7518) Prec@1 36.719 (40.826) Prec@5 64.844 (66.134) Epoch: [8][5330/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6732 (2.7519) Prec@1 37.500 (40.824) Prec@5 64.844 (66.135) Epoch: [8][5340/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.3421 (2.7519) Prec@1 29.688 (40.824) Prec@5 60.938 (66.138) Epoch: [8][5350/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6371 (2.7518) Prec@1 41.406 (40.823) Prec@5 65.625 (66.138) Epoch: [8][5360/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.0342 (2.7519) Prec@1 37.500 (40.823) Prec@5 60.938 (66.135) Epoch: [8][5370/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.1150 (2.7521) Prec@1 31.250 (40.819) Prec@5 56.250 (66.131) Epoch: [8][5380/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8524 (2.7521) Prec@1 40.625 (40.817) Prec@5 65.625 (66.131) Epoch: [8][5390/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.3081 (2.7521) Prec@1 49.219 (40.821) Prec@5 74.219 (66.133) Epoch: [8][5400/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8382 (2.7522) Prec@1 35.156 (40.819) Prec@5 65.625 (66.130) Epoch: [8][5410/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9214 (2.7525) Prec@1 36.719 (40.816) Prec@5 60.156 (66.125) Epoch: [8][5420/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0001 (2.7526) Prec@1 33.594 (40.813) Prec@5 58.594 (66.124) Epoch: [8][5430/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8531 (2.7524) Prec@1 42.188 (40.815) Prec@5 63.281 (66.125) Epoch: [8][5440/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.7737 (2.7527) Prec@1 42.969 (40.809) Prec@5 64.844 (66.118) Epoch: [8][5450/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9227 (2.7528) Prec@1 37.500 (40.810) Prec@5 64.062 (66.118) Epoch: [8][5460/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8552 (2.7528) Prec@1 42.188 (40.812) Prec@5 62.500 (66.117) Epoch: [8][5470/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4830 (2.7527) Prec@1 48.438 (40.811) Prec@5 70.312 (66.120) Epoch: [8][5480/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4729 (2.7525) Prec@1 47.656 (40.814) Prec@5 69.531 (66.124) Epoch: [8][5490/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6499 (2.7523) Prec@1 46.875 (40.818) Prec@5 67.969 (66.125) Epoch: [8][5500/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8900 (2.7523) Prec@1 37.500 (40.818) Prec@5 61.719 (66.126) Epoch: [8][5510/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7501 (2.7521) Prec@1 42.969 (40.820) Prec@5 67.188 (66.129) Epoch: [8][5520/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5192 (2.7522) Prec@1 46.094 (40.818) Prec@5 71.094 (66.129) Epoch: [8][5530/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.5835 (2.7522) Prec@1 41.406 (40.815) Prec@5 68.750 (66.126) Epoch: [8][5540/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8605 (2.7524) Prec@1 39.062 (40.814) Prec@5 60.938 (66.122) Epoch: [8][5550/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6385 (2.7521) Prec@1 44.531 (40.817) Prec@5 70.312 (66.126) Epoch: [8][5560/10010] Time 0.321 (0.332) Data 0.002 (0.001) Loss 2.6695 (2.7521) Prec@1 40.625 (40.820) Prec@5 71.875 (66.128) Epoch: [8][5570/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6578 (2.7520) Prec@1 42.969 (40.824) Prec@5 65.625 (66.131) Epoch: [8][5580/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 3.0817 (2.7520) Prec@1 38.281 (40.823) Prec@5 57.812 (66.130) Epoch: [8][5590/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7554 (2.7521) Prec@1 35.156 (40.820) Prec@5 64.844 (66.129) Epoch: [8][5600/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6745 (2.7519) Prec@1 42.188 (40.825) Prec@5 65.625 (66.132) Epoch: [8][5610/10010] Time 0.323 (0.332) Data 0.003 (0.001) Loss 2.4577 (2.7518) Prec@1 43.750 (40.822) Prec@5 71.875 (66.132) Epoch: [8][5620/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1181 (2.7521) Prec@1 37.500 (40.818) Prec@5 60.938 (66.130) Epoch: [8][5630/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7061 (2.7521) Prec@1 38.281 (40.819) Prec@5 64.844 (66.129) Epoch: [8][5640/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.3406 (2.7520) Prec@1 45.312 (40.819) Prec@5 75.781 (66.130) Epoch: [8][5650/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1330 (2.7521) Prec@1 35.156 (40.818) Prec@5 57.812 (66.126) Epoch: [8][5660/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9658 (2.7520) Prec@1 36.719 (40.818) Prec@5 63.281 (66.130) Epoch: [8][5670/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8795 (2.7520) Prec@1 34.375 (40.818) Prec@5 56.250 (66.125) Epoch: [8][5680/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7750 (2.7520) Prec@1 41.406 (40.817) Prec@5 69.531 (66.125) Epoch: [8][5690/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5073 (2.7522) Prec@1 48.438 (40.814) Prec@5 65.625 (66.123) Epoch: [8][5700/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8997 (2.7523) Prec@1 38.281 (40.810) Prec@5 62.500 (66.118) Epoch: [8][5710/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4474 (2.7525) Prec@1 45.312 (40.806) Prec@5 75.000 (66.114) Epoch: [8][5720/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8999 (2.7527) Prec@1 38.281 (40.804) Prec@5 60.156 (66.111) Epoch: [8][5730/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.9476 (2.7526) Prec@1 35.938 (40.807) Prec@5 60.938 (66.112) Epoch: [8][5740/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9033 (2.7528) Prec@1 40.625 (40.803) Prec@5 61.719 (66.107) Epoch: [8][5750/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0225 (2.7528) Prec@1 32.031 (40.802) Prec@5 63.281 (66.109) Epoch: [8][5760/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7816 (2.7528) Prec@1 39.062 (40.801) Prec@5 62.500 (66.109) Epoch: [8][5770/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8826 (2.7528) Prec@1 39.062 (40.797) Prec@5 63.281 (66.108) Epoch: [8][5780/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8819 (2.7531) Prec@1 41.406 (40.793) Prec@5 59.375 (66.101) Epoch: [8][5790/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9652 (2.7530) Prec@1 35.938 (40.795) Prec@5 62.500 (66.103) Epoch: [8][5800/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7654 (2.7529) Prec@1 40.625 (40.798) Prec@5 67.969 (66.106) Epoch: [8][5810/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7785 (2.7529) Prec@1 39.844 (40.800) Prec@5 67.188 (66.106) Epoch: [8][5820/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8566 (2.7533) Prec@1 38.281 (40.795) Prec@5 64.062 (66.101) Epoch: [8][5830/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6484 (2.7535) Prec@1 43.750 (40.794) Prec@5 71.094 (66.099) Epoch: [8][5840/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4328 (2.7535) Prec@1 48.438 (40.792) Prec@5 71.094 (66.099) Epoch: [8][5850/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.9129 (2.7534) Prec@1 32.031 (40.793) Prec@5 63.281 (66.102) Epoch: [8][5860/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 3.0821 (2.7533) Prec@1 39.844 (40.797) Prec@5 62.500 (66.105) Epoch: [8][5870/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5439 (2.7535) Prec@1 45.312 (40.795) Prec@5 68.750 (66.104) Epoch: [8][5880/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 3.0888 (2.7536) Prec@1 30.469 (40.794) Prec@5 55.469 (66.104) Epoch: [8][5890/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7481 (2.7534) Prec@1 39.062 (40.797) Prec@5 67.969 (66.107) Epoch: [8][5900/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7887 (2.7534) Prec@1 42.188 (40.798) Prec@5 63.281 (66.104) Epoch: [8][5910/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.5006 (2.7533) Prec@1 44.531 (40.801) Prec@5 66.406 (66.105) Epoch: [8][5920/10010] Time 0.324 (0.332) Data 0.002 (0.001) Loss 2.8524 (2.7533) Prec@1 40.625 (40.801) Prec@5 65.625 (66.106) Epoch: [8][5930/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8690 (2.7532) Prec@1 40.625 (40.802) Prec@5 62.500 (66.107) Epoch: [8][5940/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6383 (2.7531) Prec@1 35.938 (40.801) Prec@5 70.312 (66.107) Epoch: [8][5950/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7303 (2.7532) Prec@1 40.625 (40.801) Prec@5 65.625 (66.103) Epoch: [8][5960/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6601 (2.7532) Prec@1 38.281 (40.801) Prec@5 69.531 (66.105) Epoch: [8][5970/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6278 (2.7532) Prec@1 39.062 (40.801) Prec@5 68.750 (66.107) Epoch: [8][5980/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7473 (2.7532) Prec@1 36.719 (40.801) Prec@5 67.188 (66.107) Epoch: [8][5990/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8060 (2.7531) Prec@1 45.312 (40.804) Prec@5 69.531 (66.110) Epoch: [8][6000/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7397 (2.7531) Prec@1 39.844 (40.805) Prec@5 63.281 (66.111) Epoch: [8][6010/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4783 (2.7531) Prec@1 45.312 (40.805) Prec@5 71.094 (66.111) Epoch: [8][6020/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7448 (2.7532) Prec@1 42.969 (40.804) Prec@5 67.188 (66.110) Epoch: [8][6030/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6175 (2.7531) Prec@1 49.219 (40.805) Prec@5 67.969 (66.113) Epoch: [8][6040/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.2660 (2.7531) Prec@1 56.250 (40.804) Prec@5 73.438 (66.115) Epoch: [8][6050/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9413 (2.7532) Prec@1 31.250 (40.804) Prec@5 64.844 (66.117) Epoch: [8][6060/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9442 (2.7532) Prec@1 39.062 (40.808) Prec@5 60.938 (66.118) Epoch: [8][6070/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.0246 (2.7531) Prec@1 36.719 (40.807) Prec@5 63.281 (66.120) Epoch: [8][6080/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7598 (2.7532) Prec@1 46.094 (40.808) Prec@5 65.625 (66.119) Epoch: [8][6090/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7373 (2.7531) Prec@1 36.719 (40.806) Prec@5 64.844 (66.121) Epoch: [8][6100/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6355 (2.7531) Prec@1 45.312 (40.808) Prec@5 71.094 (66.122) Epoch: [8][6110/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8375 (2.7531) Prec@1 38.281 (40.808) Prec@5 60.938 (66.121) Epoch: [8][6120/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8033 (2.7530) Prec@1 39.062 (40.809) Prec@5 65.625 (66.121) Epoch: [8][6130/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8486 (2.7529) Prec@1 38.281 (40.811) Prec@5 64.844 (66.123) Epoch: [8][6140/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.0372 (2.7530) Prec@1 36.719 (40.810) Prec@5 61.719 (66.121) Epoch: [8][6150/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5229 (2.7531) Prec@1 47.656 (40.811) Prec@5 69.531 (66.120) Epoch: [8][6160/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7999 (2.7529) Prec@1 44.531 (40.815) Prec@5 64.062 (66.122) Epoch: [8][6170/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.4881 (2.7529) Prec@1 42.969 (40.815) Prec@5 70.312 (66.124) Epoch: [8][6180/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7456 (2.7528) Prec@1 39.844 (40.814) Prec@5 66.406 (66.124) Epoch: [8][6190/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8293 (2.7531) Prec@1 38.281 (40.812) Prec@5 66.406 (66.121) Epoch: [8][6200/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8891 (2.7532) Prec@1 31.250 (40.810) Prec@5 64.844 (66.121) Epoch: [8][6210/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7456 (2.7533) Prec@1 44.531 (40.808) Prec@5 65.625 (66.118) Epoch: [8][6220/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6569 (2.7535) Prec@1 48.438 (40.808) Prec@5 67.188 (66.116) Epoch: [8][6230/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5132 (2.7533) Prec@1 40.625 (40.809) Prec@5 69.531 (66.120) Epoch: [8][6240/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9287 (2.7534) Prec@1 42.188 (40.806) Prec@5 64.844 (66.118) Epoch: [8][6250/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6516 (2.7533) Prec@1 40.625 (40.807) Prec@5 69.531 (66.119) Epoch: [8][6260/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6996 (2.7534) Prec@1 43.750 (40.809) Prec@5 64.844 (66.119) Epoch: [8][6270/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6882 (2.7534) Prec@1 45.312 (40.809) Prec@5 68.750 (66.117) Epoch: [8][6280/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7732 (2.7534) Prec@1 40.625 (40.811) Prec@5 69.531 (66.118) Epoch: [8][6290/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6620 (2.7534) Prec@1 42.969 (40.809) Prec@5 65.625 (66.118) Epoch: [8][6300/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7352 (2.7533) Prec@1 44.531 (40.811) Prec@5 65.625 (66.117) Epoch: [8][6310/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4978 (2.7534) Prec@1 42.188 (40.809) Prec@5 73.438 (66.117) Epoch: [8][6320/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0149 (2.7535) Prec@1 37.500 (40.805) Prec@5 60.938 (66.112) Epoch: [8][6330/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7247 (2.7535) Prec@1 43.750 (40.805) Prec@5 64.844 (66.113) Epoch: [8][6340/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7023 (2.7534) Prec@1 44.531 (40.809) Prec@5 65.625 (66.116) Epoch: [8][6350/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7819 (2.7534) Prec@1 40.625 (40.809) Prec@5 67.188 (66.114) Epoch: [8][6360/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.1682 (2.7535) Prec@1 35.938 (40.808) Prec@5 58.594 (66.114) Epoch: [8][6370/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6123 (2.7535) Prec@1 39.844 (40.809) Prec@5 69.531 (66.113) Epoch: [8][6380/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.8599 (2.7535) Prec@1 40.625 (40.809) Prec@5 64.844 (66.114) Epoch: [8][6390/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4709 (2.7534) Prec@1 39.844 (40.808) Prec@5 78.906 (66.116) Epoch: [8][6400/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.0587 (2.7534) Prec@1 35.156 (40.809) Prec@5 63.281 (66.119) Epoch: [8][6410/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9341 (2.7534) Prec@1 38.281 (40.809) Prec@5 67.188 (66.118) Epoch: [8][6420/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.9313 (2.7535) Prec@1 41.406 (40.807) Prec@5 63.281 (66.117) Epoch: [8][6430/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6754 (2.7536) Prec@1 42.188 (40.804) Prec@5 68.750 (66.114) Epoch: [8][6440/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8138 (2.7536) Prec@1 42.188 (40.804) Prec@5 61.719 (66.113) Epoch: [8][6450/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8962 (2.7536) Prec@1 39.062 (40.804) Prec@5 65.625 (66.114) Epoch: [8][6460/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6587 (2.7535) Prec@1 39.062 (40.804) Prec@5 67.969 (66.115) Epoch: [8][6470/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6460 (2.7533) Prec@1 42.969 (40.808) Prec@5 65.625 (66.119) Epoch: [8][6480/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9380 (2.7532) Prec@1 38.281 (40.808) Prec@5 61.719 (66.119) Epoch: [8][6490/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6334 (2.7532) Prec@1 42.969 (40.809) Prec@5 70.312 (66.120) Epoch: [8][6500/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.2834 (2.7531) Prec@1 37.500 (40.812) Prec@5 57.031 (66.123) Epoch: [8][6510/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9058 (2.7530) Prec@1 34.375 (40.811) Prec@5 63.281 (66.126) Epoch: [8][6520/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9054 (2.7531) Prec@1 35.156 (40.811) Prec@5 63.281 (66.123) Epoch: [8][6530/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7684 (2.7531) Prec@1 37.500 (40.810) Prec@5 67.188 (66.126) Epoch: [8][6540/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5696 (2.7531) Prec@1 36.719 (40.810) Prec@5 69.531 (66.126) Epoch: [8][6550/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8920 (2.7531) Prec@1 42.969 (40.813) Prec@5 64.062 (66.125) Epoch: [8][6560/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0052 (2.7531) Prec@1 39.844 (40.813) Prec@5 63.281 (66.125) Epoch: [8][6570/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 3.0417 (2.7531) Prec@1 32.031 (40.814) Prec@5 61.719 (66.124) Epoch: [8][6580/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8507 (2.7532) Prec@1 38.281 (40.814) Prec@5 67.188 (66.124) Epoch: [8][6590/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6939 (2.7531) Prec@1 38.281 (40.813) Prec@5 68.750 (66.127) Epoch: [8][6600/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4861 (2.7532) Prec@1 43.750 (40.809) Prec@5 67.969 (66.124) /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: [8][6610/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5998 (2.7528) Prec@1 38.281 (40.816) Prec@5 70.312 (66.129) Epoch: [8][6620/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6862 (2.7528) Prec@1 40.625 (40.815) Prec@5 66.406 (66.130) Epoch: [8][6630/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.0724 (2.7528) Prec@1 39.062 (40.817) Prec@5 60.156 (66.130) Epoch: [8][6640/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7027 (2.7527) Prec@1 45.312 (40.819) Prec@5 67.188 (66.134) Epoch: [8][6650/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8568 (2.7527) Prec@1 45.312 (40.818) Prec@5 64.844 (66.132) Epoch: [8][6660/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8317 (2.7527) Prec@1 42.969 (40.821) Prec@5 67.969 (66.130) Epoch: [8][6670/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.8248 (2.7527) Prec@1 37.500 (40.822) Prec@5 65.625 (66.129) Epoch: [8][6680/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8561 (2.7528) Prec@1 32.812 (40.821) Prec@5 62.500 (66.127) Epoch: [8][6690/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9566 (2.7528) Prec@1 45.312 (40.821) Prec@5 60.938 (66.126) Epoch: [8][6700/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6448 (2.7527) Prec@1 45.312 (40.823) Prec@5 64.844 (66.129) Epoch: [8][6710/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9971 (2.7528) Prec@1 39.062 (40.823) Prec@5 60.938 (66.129) Epoch: [8][6720/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.9616 (2.7527) Prec@1 41.406 (40.824) Prec@5 60.938 (66.131) Epoch: [8][6730/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7156 (2.7528) Prec@1 44.531 (40.823) Prec@5 67.188 (66.129) Epoch: [8][6740/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7448 (2.7529) Prec@1 35.938 (40.821) Prec@5 66.406 (66.129) Epoch: [8][6750/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4754 (2.7526) Prec@1 45.312 (40.826) Prec@5 69.531 (66.132) Epoch: [8][6760/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.4306 (2.7527) Prec@1 45.312 (40.826) Prec@5 73.438 (66.133) Epoch: [8][6770/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9214 (2.7527) Prec@1 35.938 (40.824) Prec@5 64.062 (66.130) Epoch: [8][6780/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8113 (2.7527) Prec@1 41.406 (40.822) Prec@5 67.969 (66.133) Epoch: [8][6790/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5671 (2.7528) Prec@1 46.094 (40.819) Prec@5 68.750 (66.131) Epoch: [8][6800/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8379 (2.7529) Prec@1 43.750 (40.820) Prec@5 61.719 (66.128) Epoch: [8][6810/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4917 (2.7529) Prec@1 51.562 (40.817) Prec@5 67.188 (66.127) Epoch: [8][6820/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6025 (2.7529) Prec@1 43.750 (40.819) Prec@5 65.625 (66.126) Epoch: [8][6830/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7067 (2.7530) Prec@1 50.000 (40.818) Prec@5 66.406 (66.123) /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: [8][6840/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.8738 (2.7530) Prec@1 38.281 (40.816) Prec@5 62.500 (66.122) Epoch: [8][6850/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5841 (2.7530) Prec@1 41.406 (40.811) Prec@5 69.531 (66.121) Epoch: [8][6860/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 3.0323 (2.7533) Prec@1 41.406 (40.809) Prec@5 64.844 (66.118) Epoch: [8][6870/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5655 (2.7533) Prec@1 38.281 (40.808) Prec@5 69.531 (66.117) Epoch: [8][6880/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.1613 (2.7535) Prec@1 37.500 (40.804) Prec@5 59.375 (66.114) Epoch: [8][6890/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9515 (2.7534) Prec@1 39.062 (40.805) Prec@5 61.719 (66.115) Epoch: [8][6900/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.0970 (2.7537) Prec@1 32.812 (40.801) Prec@5 56.250 (66.110) Epoch: [8][6910/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8933 (2.7537) Prec@1 36.719 (40.802) Prec@5 65.625 (66.111) Epoch: [8][6920/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6304 (2.7537) Prec@1 44.531 (40.802) Prec@5 67.188 (66.113) Epoch: [8][6930/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6752 (2.7537) Prec@1 34.375 (40.801) Prec@5 71.875 (66.115) Epoch: [8][6940/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0575 (2.7537) Prec@1 42.969 (40.800) Prec@5 60.156 (66.114) Epoch: [8][6950/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8416 (2.7537) Prec@1 39.844 (40.802) Prec@5 65.625 (66.115) Epoch: [8][6960/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7801 (2.7536) Prec@1 42.188 (40.803) Prec@5 65.625 (66.116) Epoch: [8][6970/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8795 (2.7537) Prec@1 36.719 (40.800) Prec@5 64.062 (66.114) Epoch: [8][6980/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.1982 (2.7538) Prec@1 32.031 (40.798) Prec@5 62.500 (66.114) Epoch: [8][6990/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.6381 (2.7538) Prec@1 42.188 (40.798) Prec@5 66.406 (66.116) Epoch: [8][7000/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7302 (2.7538) Prec@1 36.719 (40.798) Prec@5 65.625 (66.116) Epoch: [8][7010/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8125 (2.7539) Prec@1 46.094 (40.800) Prec@5 64.844 (66.114) Epoch: [8][7020/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5438 (2.7536) Prec@1 44.531 (40.804) Prec@5 71.094 (66.117) Epoch: [8][7030/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5055 (2.7537) Prec@1 42.969 (40.803) Prec@5 73.438 (66.116) Epoch: [8][7040/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5027 (2.7537) Prec@1 47.656 (40.803) Prec@5 70.312 (66.117) Epoch: [8][7050/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7797 (2.7538) Prec@1 41.406 (40.802) Prec@5 65.625 (66.116) Epoch: [8][7060/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9929 (2.7540) Prec@1 41.406 (40.796) Prec@5 62.500 (66.111) Epoch: [8][7070/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7039 (2.7541) Prec@1 37.500 (40.792) Prec@5 69.531 (66.110) Epoch: [8][7080/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6101 (2.7539) Prec@1 42.188 (40.796) Prec@5 69.531 (66.114) Epoch: [8][7090/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6893 (2.7539) Prec@1 43.750 (40.795) Prec@5 70.312 (66.115) Epoch: [8][7100/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0174 (2.7540) Prec@1 29.688 (40.791) Prec@5 60.156 (66.114) Epoch: [8][7110/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8510 (2.7541) Prec@1 35.938 (40.790) Prec@5 64.062 (66.114) Epoch: [8][7120/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5016 (2.7540) Prec@1 44.531 (40.789) Prec@5 69.531 (66.115) Epoch: [8][7130/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.2938 (2.7539) Prec@1 49.219 (40.789) Prec@5 75.000 (66.116) Epoch: [8][7140/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8478 (2.7540) Prec@1 33.594 (40.789) Prec@5 60.938 (66.115) Epoch: [8][7150/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9234 (2.7540) Prec@1 38.281 (40.789) Prec@5 60.156 (66.113) Epoch: [8][7160/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7793 (2.7539) Prec@1 35.938 (40.789) Prec@5 67.969 (66.117) Epoch: [8][7170/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1356 (2.7538) Prec@1 39.062 (40.789) Prec@5 60.938 (66.118) Epoch: [8][7180/10010] Time 0.331 (0.332) Data 0.003 (0.001) Loss 3.0571 (2.7537) Prec@1 39.844 (40.792) Prec@5 64.062 (66.121) Epoch: [8][7190/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5000 (2.7535) Prec@1 44.531 (40.796) Prec@5 71.094 (66.126) Epoch: [8][7200/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5441 (2.7535) Prec@1 38.281 (40.793) Prec@5 72.656 (66.127) Epoch: [8][7210/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4685 (2.7536) Prec@1 42.969 (40.796) Prec@5 71.875 (66.126) Epoch: [8][7220/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.0867 (2.7535) Prec@1 36.719 (40.797) Prec@5 62.500 (66.130) Epoch: [8][7230/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8706 (2.7537) Prec@1 39.062 (40.795) Prec@5 63.281 (66.126) Epoch: [8][7240/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8322 (2.7536) Prec@1 35.156 (40.793) Prec@5 61.719 (66.128) Epoch: [8][7250/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8636 (2.7536) Prec@1 40.625 (40.793) Prec@5 66.406 (66.128) Epoch: [8][7260/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6361 (2.7536) Prec@1 36.719 (40.790) Prec@5 64.062 (66.129) Epoch: [8][7270/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6313 (2.7535) Prec@1 42.969 (40.792) Prec@5 65.625 (66.132) Epoch: [8][7280/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.6702 (2.7534) Prec@1 38.281 (40.795) Prec@5 67.969 (66.133) Epoch: [8][7290/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8210 (2.7535) Prec@1 37.500 (40.795) Prec@5 67.188 (66.132) Epoch: [8][7300/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7955 (2.7535) Prec@1 41.406 (40.794) Prec@5 66.406 (66.133) Epoch: [8][7310/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.3595 (2.7535) Prec@1 46.875 (40.796) Prec@5 71.094 (66.134) Epoch: [8][7320/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.2060 (2.7536) Prec@1 35.156 (40.795) Prec@5 60.938 (66.132) Epoch: [8][7330/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8415 (2.7537) Prec@1 39.844 (40.791) Prec@5 65.625 (66.129) Epoch: [8][7340/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9172 (2.7538) Prec@1 39.844 (40.790) Prec@5 64.062 (66.127) Epoch: [8][7350/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.8140 (2.7537) Prec@1 42.188 (40.792) Prec@5 61.719 (66.131) Epoch: [8][7360/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.3739 (2.7536) Prec@1 48.438 (40.791) Prec@5 70.312 (66.131) Epoch: [8][7370/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9560 (2.7538) Prec@1 40.625 (40.789) Prec@5 61.719 (66.127) Epoch: [8][7380/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8061 (2.7539) Prec@1 37.500 (40.789) Prec@5 64.062 (66.126) Epoch: [8][7390/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7862 (2.7540) Prec@1 43.750 (40.789) Prec@5 65.625 (66.124) Epoch: [8][7400/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.0494 (2.7541) Prec@1 34.375 (40.788) Prec@5 60.938 (66.120) Epoch: [8][7410/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5709 (2.7540) Prec@1 44.531 (40.792) Prec@5 71.094 (66.124) Epoch: [8][7420/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5290 (2.7539) Prec@1 50.000 (40.793) Prec@5 71.875 (66.125) Epoch: [8][7430/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7697 (2.7540) Prec@1 39.844 (40.793) Prec@5 67.188 (66.124) Epoch: [8][7440/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5976 (2.7538) Prec@1 42.969 (40.795) Prec@5 67.188 (66.125) Epoch: [8][7450/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7174 (2.7541) Prec@1 43.750 (40.792) Prec@5 67.969 (66.121) Epoch: [8][7460/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7787 (2.7540) Prec@1 47.656 (40.792) Prec@5 64.062 (66.123) Epoch: [8][7470/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8557 (2.7542) Prec@1 39.844 (40.789) Prec@5 62.500 (66.122) Epoch: [8][7480/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7720 (2.7543) Prec@1 41.406 (40.787) Prec@5 66.406 (66.121) Epoch: [8][7490/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.3481 (2.7542) Prec@1 53.906 (40.789) Prec@5 71.094 (66.121) Epoch: [8][7500/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8497 (2.7542) Prec@1 42.969 (40.789) Prec@5 61.719 (66.120) Epoch: [8][7510/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7975 (2.7542) Prec@1 37.500 (40.789) Prec@5 68.750 (66.122) Epoch: [8][7520/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4961 (2.7542) Prec@1 46.094 (40.788) Prec@5 67.188 (66.124) Epoch: [8][7530/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7271 (2.7543) Prec@1 38.281 (40.785) Prec@5 70.312 (66.122) Epoch: [8][7540/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7717 (2.7542) Prec@1 41.406 (40.786) Prec@5 69.531 (66.124) Epoch: [8][7550/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.8007 (2.7543) Prec@1 37.500 (40.787) Prec@5 67.188 (66.124) Epoch: [8][7560/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5880 (2.7542) Prec@1 43.750 (40.788) Prec@5 67.969 (66.127) Epoch: [8][7570/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0516 (2.7542) Prec@1 37.500 (40.788) Prec@5 58.594 (66.127) Epoch: [8][7580/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.3163 (2.7541) Prec@1 49.219 (40.789) Prec@5 71.875 (66.126) Epoch: [8][7590/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4241 (2.7542) Prec@1 47.656 (40.789) Prec@5 68.750 (66.125) Epoch: [8][7600/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.3166 (2.7543) Prec@1 47.656 (40.790) Prec@5 75.781 (66.124) Epoch: [8][7610/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9416 (2.7544) Prec@1 39.062 (40.791) Prec@5 60.938 (66.122) Epoch: [8][7620/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7376 (2.7545) Prec@1 40.625 (40.789) Prec@5 67.188 (66.120) Epoch: [8][7630/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.6835 (2.7544) Prec@1 42.969 (40.789) Prec@5 71.094 (66.122) Epoch: [8][7640/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7601 (2.7546) Prec@1 43.750 (40.789) Prec@5 66.406 (66.121) Epoch: [8][7650/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.9142 (2.7545) Prec@1 36.719 (40.791) Prec@5 61.719 (66.123) Epoch: [8][7660/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6291 (2.7545) Prec@1 42.969 (40.794) Prec@5 69.531 (66.122) Epoch: [8][7670/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8536 (2.7546) Prec@1 42.188 (40.794) Prec@5 60.938 (66.120) Epoch: [8][7680/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9532 (2.7547) Prec@1 36.719 (40.794) Prec@5 60.938 (66.117) Epoch: [8][7690/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7922 (2.7549) Prec@1 41.406 (40.791) Prec@5 61.719 (66.112) Epoch: [8][7700/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7999 (2.7550) Prec@1 37.500 (40.791) Prec@5 66.406 (66.111) Epoch: [8][7710/10010] Time 0.321 (0.332) Data 0.006 (0.001) Loss 2.7379 (2.7551) Prec@1 42.969 (40.788) Prec@5 72.656 (66.109) Epoch: [8][7720/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8267 (2.7551) Prec@1 39.062 (40.789) Prec@5 61.719 (66.110) Epoch: [8][7730/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9438 (2.7552) Prec@1 36.719 (40.789) Prec@5 62.500 (66.111) Epoch: [8][7740/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.6403 (2.7551) Prec@1 44.531 (40.788) Prec@5 71.875 (66.112) Epoch: [8][7750/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8929 (2.7552) Prec@1 40.625 (40.788) Prec@5 67.188 (66.111) Epoch: [8][7760/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.9678 (2.7552) Prec@1 42.188 (40.791) Prec@5 62.500 (66.111) Epoch: [8][7770/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5850 (2.7552) Prec@1 35.938 (40.791) Prec@5 67.188 (66.110) Epoch: [8][7780/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7223 (2.7552) Prec@1 42.188 (40.791) Prec@5 66.406 (66.108) Epoch: [8][7790/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8993 (2.7554) Prec@1 37.500 (40.788) Prec@5 60.156 (66.104) Epoch: [8][7800/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.2652 (2.7554) Prec@1 34.375 (40.788) Prec@5 59.375 (66.103) Epoch: [8][7810/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4750 (2.7555) Prec@1 46.094 (40.785) Prec@5 68.750 (66.101) Epoch: [8][7820/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5673 (2.7555) Prec@1 49.219 (40.787) Prec@5 69.531 (66.101) Epoch: [8][7830/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8013 (2.7554) Prec@1 37.500 (40.787) Prec@5 62.500 (66.102) Epoch: [8][7840/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5125 (2.7554) Prec@1 43.750 (40.788) Prec@5 75.000 (66.103) Epoch: [8][7850/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.5498 (2.7554) Prec@1 47.656 (40.787) Prec@5 65.625 (66.102) Epoch: [8][7860/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6580 (2.7553) Prec@1 40.625 (40.790) Prec@5 70.312 (66.103) Epoch: [8][7870/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.8491 (2.7553) Prec@1 42.188 (40.791) Prec@5 61.719 (66.105) Epoch: [8][7880/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9462 (2.7554) Prec@1 32.031 (40.789) Prec@5 59.375 (66.102) Epoch: [8][7890/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0786 (2.7555) Prec@1 34.375 (40.788) Prec@5 57.812 (66.102) Epoch: [8][7900/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 3.1361 (2.7555) Prec@1 35.938 (40.788) Prec@5 63.281 (66.100) Epoch: [8][7910/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9729 (2.7556) Prec@1 39.062 (40.788) Prec@5 64.844 (66.100) Epoch: [8][7920/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8365 (2.7555) Prec@1 32.812 (40.787) Prec@5 65.625 (66.101) Epoch: [8][7930/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5333 (2.7555) Prec@1 46.094 (40.787) Prec@5 68.750 (66.100) Epoch: [8][7940/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9242 (2.7556) Prec@1 36.719 (40.787) Prec@5 62.500 (66.099) Epoch: [8][7950/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5878 (2.7556) Prec@1 43.750 (40.788) Prec@5 71.094 (66.100) Epoch: [8][7960/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8584 (2.7555) Prec@1 39.844 (40.786) Prec@5 66.406 (66.101) Epoch: [8][7970/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7246 (2.7556) Prec@1 42.969 (40.785) Prec@5 64.844 (66.101) Epoch: [8][7980/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.3234 (2.7557) Prec@1 47.656 (40.785) Prec@5 69.531 (66.101) Epoch: [8][7990/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5218 (2.7557) Prec@1 42.969 (40.784) Prec@5 67.188 (66.100) Epoch: [8][8000/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5697 (2.7557) Prec@1 49.219 (40.786) Prec@5 71.094 (66.099) Epoch: [8][8010/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6511 (2.7555) Prec@1 50.781 (40.788) Prec@5 68.750 (66.102) Epoch: [8][8020/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5239 (2.7557) Prec@1 42.969 (40.787) Prec@5 68.750 (66.099) Epoch: [8][8030/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.8208 (2.7556) Prec@1 42.188 (40.787) Prec@5 66.406 (66.098) Epoch: [8][8040/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.4347 (2.7557) Prec@1 48.438 (40.787) Prec@5 71.094 (66.097) Epoch: [8][8050/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8115 (2.7557) Prec@1 46.875 (40.786) Prec@5 67.188 (66.095) Epoch: [8][8060/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8885 (2.7556) Prec@1 41.406 (40.788) Prec@5 65.625 (66.096) Epoch: [8][8070/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8320 (2.7556) Prec@1 39.844 (40.788) Prec@5 65.625 (66.095) Epoch: [8][8080/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7029 (2.7555) Prec@1 41.406 (40.789) Prec@5 68.750 (66.097) Epoch: [8][8090/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.4472 (2.7555) Prec@1 48.438 (40.790) Prec@5 71.094 (66.098) Epoch: [8][8100/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5869 (2.7556) Prec@1 47.656 (40.790) Prec@5 73.438 (66.098) Epoch: [8][8110/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.9311 (2.7557) Prec@1 35.156 (40.787) Prec@5 64.062 (66.096) Epoch: [8][8120/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7795 (2.7559) Prec@1 42.188 (40.784) Prec@5 64.062 (66.093) Epoch: [8][8130/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5508 (2.7560) Prec@1 48.438 (40.781) Prec@5 71.094 (66.093) Epoch: [8][8140/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8387 (2.7560) Prec@1 39.844 (40.781) Prec@5 64.062 (66.093) Epoch: [8][8150/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8095 (2.7560) Prec@1 40.625 (40.784) Prec@5 63.281 (66.094) Epoch: [8][8160/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5794 (2.7558) Prec@1 47.656 (40.784) Prec@5 67.969 (66.097) Epoch: [8][8170/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6757 (2.7558) Prec@1 43.750 (40.784) Prec@5 70.312 (66.097) Epoch: [8][8180/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6658 (2.7559) Prec@1 39.844 (40.783) Prec@5 63.281 (66.095) Epoch: [8][8190/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.8095 (2.7558) Prec@1 42.969 (40.784) Prec@5 63.281 (66.095) Epoch: [8][8200/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7309 (2.7558) Prec@1 42.188 (40.786) Prec@5 67.969 (66.096) Epoch: [8][8210/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5970 (2.7557) Prec@1 48.438 (40.789) Prec@5 67.969 (66.097) Epoch: [8][8220/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.9263 (2.7559) Prec@1 40.625 (40.786) Prec@5 64.844 (66.094) Epoch: [8][8230/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6520 (2.7559) Prec@1 39.844 (40.787) Prec@5 64.844 (66.094) Epoch: [8][8240/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0754 (2.7558) Prec@1 38.281 (40.787) Prec@5 62.500 (66.096) Epoch: [8][8250/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8000 (2.7560) Prec@1 39.062 (40.784) Prec@5 65.625 (66.095) Epoch: [8][8260/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4956 (2.7559) Prec@1 46.094 (40.786) Prec@5 68.750 (66.096) Epoch: [8][8270/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5872 (2.7558) Prec@1 44.531 (40.785) Prec@5 69.531 (66.098) Epoch: [8][8280/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9055 (2.7559) Prec@1 39.062 (40.785) Prec@5 64.844 (66.097) Epoch: [8][8290/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.4849 (2.7560) Prec@1 27.344 (40.784) Prec@5 48.438 (66.095) Epoch: [8][8300/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7560 (2.7560) Prec@1 38.281 (40.785) Prec@5 65.625 (66.096) Epoch: [8][8310/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8801 (2.7560) Prec@1 40.625 (40.786) Prec@5 60.156 (66.096) Epoch: [8][8320/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.8237 (2.7560) Prec@1 39.062 (40.786) Prec@5 63.281 (66.098) Epoch: [8][8330/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9412 (2.7560) Prec@1 40.625 (40.787) Prec@5 61.719 (66.096) Epoch: [8][8340/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7284 (2.7560) Prec@1 39.844 (40.787) Prec@5 60.156 (66.095) Epoch: [8][8350/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6316 (2.7560) Prec@1 43.750 (40.786) Prec@5 69.531 (66.096) Epoch: [8][8360/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6922 (2.7559) Prec@1 42.969 (40.789) Prec@5 68.750 (66.098) Epoch: [8][8370/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 3.0782 (2.7560) Prec@1 35.938 (40.786) Prec@5 60.156 (66.096) Epoch: [8][8380/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6996 (2.7561) Prec@1 44.531 (40.786) Prec@5 68.750 (66.094) Epoch: [8][8390/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6543 (2.7561) Prec@1 45.312 (40.787) Prec@5 65.625 (66.092) Epoch: [8][8400/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6244 (2.7560) Prec@1 48.438 (40.787) Prec@5 70.312 (66.093) Epoch: [8][8410/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4878 (2.7561) Prec@1 46.875 (40.790) Prec@5 69.531 (66.092) Epoch: [8][8420/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4715 (2.7561) Prec@1 44.531 (40.789) Prec@5 70.312 (66.094) Epoch: [8][8430/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9175 (2.7561) Prec@1 35.938 (40.787) Prec@5 62.500 (66.095) Epoch: [8][8440/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6681 (2.7560) Prec@1 37.500 (40.790) Prec@5 69.531 (66.098) Epoch: [8][8450/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8182 (2.7559) Prec@1 39.844 (40.789) Prec@5 63.281 (66.099) Epoch: [8][8460/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 3.1760 (2.7561) Prec@1 37.500 (40.787) Prec@5 59.375 (66.095) Epoch: [8][8470/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6780 (2.7561) Prec@1 38.281 (40.787) Prec@5 67.188 (66.096) Epoch: [8][8480/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.4497 (2.7560) Prec@1 42.969 (40.789) Prec@5 70.312 (66.098) Epoch: [8][8490/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7155 (2.7560) Prec@1 39.062 (40.790) Prec@5 65.625 (66.098) Epoch: [8][8500/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7748 (2.7561) Prec@1 42.969 (40.790) Prec@5 64.844 (66.096) Epoch: [8][8510/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7488 (2.7560) Prec@1 38.281 (40.793) Prec@5 66.406 (66.098) Epoch: [8][8520/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6113 (2.7560) Prec@1 44.531 (40.794) Prec@5 71.875 (66.100) Epoch: [8][8530/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7319 (2.7559) Prec@1 35.156 (40.793) Prec@5 70.312 (66.101) Epoch: [8][8540/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8251 (2.7558) Prec@1 42.188 (40.793) Prec@5 64.844 (66.102) Epoch: [8][8550/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.3809 (2.7558) Prec@1 46.094 (40.795) Prec@5 67.969 (66.103) Epoch: [8][8560/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6891 (2.7557) Prec@1 44.531 (40.798) Prec@5 63.281 (66.105) Epoch: [8][8570/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6678 (2.7557) Prec@1 42.969 (40.797) Prec@5 66.406 (66.104) Epoch: [8][8580/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4063 (2.7556) Prec@1 44.531 (40.800) Prec@5 71.875 (66.106) Epoch: [8][8590/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7355 (2.7556) Prec@1 40.625 (40.803) Prec@5 67.188 (66.106) Epoch: [8][8600/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9378 (2.7556) Prec@1 36.719 (40.802) Prec@5 60.938 (66.105) Epoch: [8][8610/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6006 (2.7556) Prec@1 42.188 (40.802) Prec@5 67.969 (66.105) Epoch: [8][8620/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4372 (2.7555) Prec@1 42.188 (40.804) Prec@5 69.531 (66.105) Epoch: [8][8630/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8047 (2.7556) Prec@1 38.281 (40.804) Prec@5 64.062 (66.105) Epoch: [8][8640/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7230 (2.7556) Prec@1 39.844 (40.803) Prec@5 67.969 (66.105) Epoch: [8][8650/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9629 (2.7555) Prec@1 40.625 (40.804) Prec@5 61.719 (66.105) Epoch: [8][8660/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8212 (2.7555) Prec@1 41.406 (40.805) Prec@5 67.969 (66.106) Epoch: [8][8670/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4723 (2.7554) Prec@1 42.969 (40.807) Prec@5 71.094 (66.106) Epoch: [8][8680/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4937 (2.7554) Prec@1 43.750 (40.808) Prec@5 71.094 (66.107) Epoch: [8][8690/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9328 (2.7554) Prec@1 39.062 (40.810) Prec@5 60.156 (66.107) Epoch: [8][8700/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6983 (2.7554) Prec@1 41.406 (40.811) Prec@5 71.094 (66.106) Epoch: [8][8710/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5789 (2.7554) Prec@1 39.844 (40.812) Prec@5 68.750 (66.107) Epoch: [8][8720/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8924 (2.7555) Prec@1 37.500 (40.811) Prec@5 67.188 (66.104) Epoch: [8][8730/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8211 (2.7556) Prec@1 41.406 (40.807) Prec@5 64.844 (66.102) Epoch: [8][8740/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8430 (2.7558) Prec@1 40.625 (40.805) Prec@5 66.406 (66.099) Epoch: [8][8750/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5898 (2.7558) Prec@1 44.531 (40.804) Prec@5 70.312 (66.099) Epoch: [8][8760/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6408 (2.7557) Prec@1 45.312 (40.805) Prec@5 67.188 (66.099) Epoch: [8][8770/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.1449 (2.7557) Prec@1 35.156 (40.803) Prec@5 62.500 (66.099) Epoch: [8][8780/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5666 (2.7557) Prec@1 42.969 (40.802) Prec@5 67.969 (66.096) Epoch: [8][8790/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.0275 (2.7557) Prec@1 42.188 (40.804) Prec@5 59.375 (66.098) Epoch: [8][8800/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6971 (2.7557) Prec@1 39.062 (40.803) Prec@5 67.188 (66.097) Epoch: [8][8810/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5248 (2.7556) Prec@1 39.062 (40.804) Prec@5 70.312 (66.099) Epoch: [8][8820/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.0866 (2.7556) Prec@1 34.375 (40.804) Prec@5 58.594 (66.098) Epoch: [8][8830/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4203 (2.7555) Prec@1 46.094 (40.804) Prec@5 75.000 (66.100) Epoch: [8][8840/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7281 (2.7555) Prec@1 42.969 (40.805) Prec@5 65.625 (66.100) Epoch: [8][8850/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.1709 (2.7555) Prec@1 36.719 (40.807) Prec@5 58.594 (66.098) Epoch: [8][8860/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6355 (2.7555) Prec@1 44.531 (40.807) Prec@5 68.750 (66.100) Epoch: [8][8870/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.3636 (2.7555) Prec@1 45.312 (40.806) Prec@5 75.000 (66.100) Epoch: [8][8880/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7770 (2.7555) Prec@1 36.719 (40.805) Prec@5 68.750 (66.100) Epoch: [8][8890/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8274 (2.7554) Prec@1 41.406 (40.804) Prec@5 65.625 (66.100) Epoch: [8][8900/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9741 (2.7555) Prec@1 35.156 (40.803) Prec@5 66.406 (66.099) Epoch: [8][8910/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9799 (2.7555) Prec@1 31.250 (40.802) Prec@5 61.719 (66.099) Epoch: [8][8920/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5983 (2.7555) Prec@1 41.406 (40.804) Prec@5 67.969 (66.098) Epoch: [8][8930/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5797 (2.7555) Prec@1 46.094 (40.803) Prec@5 67.969 (66.097) Epoch: [8][8940/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7277 (2.7555) Prec@1 44.531 (40.803) Prec@5 67.969 (66.097) Epoch: [8][8950/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5587 (2.7552) Prec@1 43.750 (40.807) Prec@5 68.750 (66.102) Epoch: [8][8960/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.4630 (2.7554) Prec@1 45.312 (40.805) Prec@5 73.438 (66.100) Epoch: [8][8970/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9516 (2.7554) Prec@1 40.625 (40.806) Prec@5 65.625 (66.099) Epoch: [8][8980/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9860 (2.7554) Prec@1 35.938 (40.806) Prec@5 61.719 (66.099) Epoch: [8][8990/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7780 (2.7553) Prec@1 42.188 (40.808) Prec@5 60.156 (66.100) Epoch: [8][9000/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7919 (2.7553) Prec@1 39.844 (40.807) Prec@5 64.062 (66.100) Epoch: [8][9010/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6815 (2.7553) Prec@1 39.062 (40.806) Prec@5 67.188 (66.101) Epoch: [8][9020/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7194 (2.7552) Prec@1 40.625 (40.808) Prec@5 66.406 (66.103) Epoch: [8][9030/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6810 (2.7552) Prec@1 50.000 (40.809) Prec@5 70.312 (66.104) Epoch: [8][9040/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7373 (2.7551) Prec@1 35.938 (40.808) Prec@5 67.188 (66.103) Epoch: [8][9050/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9159 (2.7552) Prec@1 39.844 (40.807) Prec@5 65.625 (66.103) Epoch: [8][9060/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6732 (2.7553) Prec@1 41.406 (40.807) Prec@5 64.844 (66.101) Epoch: [8][9070/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.7766 (2.7553) Prec@1 42.188 (40.806) Prec@5 67.188 (66.101) Epoch: [8][9080/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7132 (2.7552) Prec@1 46.875 (40.809) Prec@5 66.406 (66.103) Epoch: [8][9090/10010] Time 0.360 (0.332) Data 0.001 (0.001) Loss 2.7535 (2.7553) Prec@1 40.625 (40.807) Prec@5 66.406 (66.103) Epoch: [8][9100/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7348 (2.7552) Prec@1 40.625 (40.808) Prec@5 67.969 (66.104) Epoch: [8][9110/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.8299 (2.7553) Prec@1 39.844 (40.807) Prec@5 64.844 (66.102) Epoch: [8][9120/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9913 (2.7554) Prec@1 39.844 (40.809) Prec@5 59.375 (66.101) Epoch: [8][9130/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8891 (2.7555) Prec@1 39.062 (40.809) Prec@5 64.062 (66.101) Epoch: [8][9140/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9496 (2.7554) Prec@1 38.281 (40.810) Prec@5 63.281 (66.102) Epoch: [8][9150/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6188 (2.7554) Prec@1 43.750 (40.809) Prec@5 65.625 (66.100) Epoch: [8][9160/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6109 (2.7553) Prec@1 43.750 (40.810) Prec@5 69.531 (66.099) Epoch: [8][9170/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8762 (2.7554) Prec@1 39.844 (40.810) Prec@5 60.938 (66.099) Epoch: [8][9180/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8170 (2.7553) Prec@1 40.625 (40.811) Prec@5 61.719 (66.098) Epoch: [8][9190/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6212 (2.7553) Prec@1 42.188 (40.811) Prec@5 68.750 (66.100) Epoch: [8][9200/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7644 (2.7552) Prec@1 42.969 (40.812) Prec@5 65.625 (66.101) Epoch: [8][9210/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7587 (2.7554) Prec@1 39.062 (40.808) Prec@5 69.531 (66.098) Epoch: [8][9220/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7652 (2.7555) Prec@1 41.406 (40.808) Prec@5 65.625 (66.097) Epoch: [8][9230/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9492 (2.7556) Prec@1 42.188 (40.807) Prec@5 65.625 (66.096) Epoch: [8][9240/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6394 (2.7556) Prec@1 40.625 (40.807) Prec@5 70.312 (66.095) Epoch: [8][9250/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8032 (2.7557) Prec@1 37.500 (40.803) Prec@5 71.875 (66.093) Epoch: [8][9260/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6612 (2.7557) Prec@1 42.969 (40.803) Prec@5 67.969 (66.093) Epoch: [8][9270/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6253 (2.7558) Prec@1 46.875 (40.802) Prec@5 69.531 (66.092) Epoch: [8][9280/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6084 (2.7559) Prec@1 39.844 (40.803) Prec@5 68.750 (66.090) Epoch: [8][9290/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4222 (2.7559) Prec@1 46.875 (40.804) Prec@5 72.656 (66.091) Epoch: [8][9300/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6919 (2.7559) Prec@1 47.656 (40.804) Prec@5 68.750 (66.092) Epoch: [8][9310/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4825 (2.7559) Prec@1 45.312 (40.805) Prec@5 71.094 (66.092) Epoch: [8][9320/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7502 (2.7560) Prec@1 36.719 (40.804) Prec@5 64.062 (66.090) Epoch: [8][9330/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8654 (2.7561) Prec@1 36.719 (40.802) Prec@5 60.938 (66.089) Epoch: [8][9340/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8134 (2.7561) Prec@1 35.156 (40.801) Prec@5 66.406 (66.088) Epoch: [8][9350/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8195 (2.7560) Prec@1 32.812 (40.803) Prec@5 66.406 (66.092) Epoch: [8][9360/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7403 (2.7560) Prec@1 42.188 (40.803) Prec@5 69.531 (66.093) Epoch: [8][9370/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8408 (2.7560) Prec@1 46.875 (40.804) Prec@5 64.844 (66.094) Epoch: [8][9380/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8021 (2.7560) Prec@1 37.500 (40.804) Prec@5 62.500 (66.092) Epoch: [8][9390/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.5732 (2.7560) Prec@1 46.094 (40.806) Prec@5 70.312 (66.093) Epoch: [8][9400/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4994 (2.7559) Prec@1 45.312 (40.808) Prec@5 67.188 (66.093) Epoch: [8][9410/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.2441 (2.7557) Prec@1 51.562 (40.810) Prec@5 78.125 (66.096) Epoch: [8][9420/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6202 (2.7557) Prec@1 45.312 (40.810) Prec@5 73.438 (66.094) Epoch: [8][9430/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6940 (2.7558) Prec@1 38.281 (40.808) Prec@5 72.656 (66.094) Epoch: [8][9440/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.3893 (2.7558) Prec@1 50.000 (40.809) Prec@5 75.000 (66.096) Epoch: [8][9450/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1664 (2.7558) Prec@1 42.969 (40.809) Prec@5 61.719 (66.095) Epoch: [8][9460/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7247 (2.7558) Prec@1 42.969 (40.812) Prec@5 67.188 (66.097) Epoch: [8][9470/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9227 (2.7558) Prec@1 45.312 (40.813) Prec@5 60.938 (66.095) Epoch: [8][9480/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.2059 (2.7560) Prec@1 33.594 (40.810) Prec@5 59.375 (66.092) Epoch: [8][9490/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6363 (2.7559) Prec@1 39.844 (40.810) Prec@5 66.406 (66.092) Epoch: [8][9500/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5569 (2.7558) Prec@1 43.750 (40.813) Prec@5 65.625 (66.093) Epoch: [8][9510/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 3.1159 (2.7558) Prec@1 35.156 (40.814) Prec@5 60.156 (66.092) Epoch: [8][9520/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9308 (2.7558) Prec@1 32.812 (40.811) Prec@5 60.938 (66.091) Epoch: [8][9530/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.9548 (2.7557) Prec@1 41.406 (40.813) Prec@5 64.844 (66.092) Epoch: [8][9540/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.6632 (2.7558) Prec@1 37.500 (40.811) Prec@5 64.844 (66.091) Epoch: [8][9550/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7116 (2.7559) Prec@1 45.312 (40.810) Prec@5 64.062 (66.090) Epoch: [8][9560/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4804 (2.7558) Prec@1 44.531 (40.810) Prec@5 73.438 (66.091) Epoch: [8][9570/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8463 (2.7558) Prec@1 36.719 (40.810) Prec@5 60.938 (66.090) Epoch: [8][9580/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7065 (2.7557) Prec@1 40.625 (40.810) Prec@5 63.281 (66.092) Epoch: [8][9590/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 3.0015 (2.7557) Prec@1 35.156 (40.810) Prec@5 65.625 (66.092) Epoch: [8][9600/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.1500 (2.7557) Prec@1 34.375 (40.809) Prec@5 59.375 (66.091) Epoch: [8][9610/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7905 (2.7557) Prec@1 37.500 (40.810) Prec@5 64.062 (66.091) Epoch: [8][9620/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4918 (2.7557) Prec@1 45.312 (40.809) Prec@5 71.094 (66.093) Epoch: [8][9630/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9293 (2.7558) Prec@1 40.625 (40.808) Prec@5 63.281 (66.093) Epoch: [8][9640/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5038 (2.7557) Prec@1 46.875 (40.808) Prec@5 73.438 (66.094) Epoch: [8][9650/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.0169 (2.7556) Prec@1 32.031 (40.806) Prec@5 59.375 (66.095) Epoch: [8][9660/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5525 (2.7557) Prec@1 44.531 (40.806) Prec@5 69.531 (66.096) Epoch: [8][9670/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.9648 (2.7556) Prec@1 32.812 (40.806) Prec@5 60.938 (66.096) Epoch: [8][9680/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6775 (2.7557) Prec@1 40.625 (40.806) Prec@5 67.188 (66.096) Epoch: [8][9690/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7436 (2.7557) Prec@1 40.625 (40.804) Prec@5 65.625 (66.095) Epoch: [8][9700/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8894 (2.7556) Prec@1 39.844 (40.807) Prec@5 65.625 (66.097) Epoch: [8][9710/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6479 (2.7555) Prec@1 42.969 (40.806) Prec@5 68.750 (66.099) Epoch: [8][9720/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8217 (2.7556) Prec@1 38.281 (40.803) Prec@5 62.500 (66.096) Epoch: [8][9730/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.2619 (2.7556) Prec@1 53.125 (40.803) Prec@5 77.344 (66.099) Epoch: [8][9740/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8642 (2.7556) Prec@1 35.938 (40.803) Prec@5 66.406 (66.099) Epoch: [8][9750/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7284 (2.7556) Prec@1 42.188 (40.803) Prec@5 65.625 (66.100) Epoch: [8][9760/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.6607 (2.7557) Prec@1 43.750 (40.803) Prec@5 67.969 (66.099) Epoch: [8][9770/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8722 (2.7558) Prec@1 35.938 (40.801) Prec@5 65.625 (66.097) Epoch: [8][9780/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5912 (2.7557) Prec@1 44.531 (40.800) Prec@5 69.531 (66.097) Epoch: [8][9790/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.5655 (2.7557) Prec@1 42.188 (40.799) Prec@5 71.094 (66.096) Epoch: [8][9800/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7268 (2.7557) Prec@1 44.531 (40.801) Prec@5 66.406 (66.096) Epoch: [8][9810/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7694 (2.7556) Prec@1 37.500 (40.802) Prec@5 65.625 (66.098) Epoch: [8][9820/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8396 (2.7556) Prec@1 41.406 (40.802) Prec@5 67.188 (66.099) Epoch: [8][9830/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.0832 (2.7556) Prec@1 36.719 (40.803) Prec@5 62.500 (66.100) Epoch: [8][9840/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4040 (2.7556) Prec@1 48.438 (40.804) Prec@5 73.438 (66.099) Epoch: [8][9850/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4014 (2.7555) Prec@1 44.531 (40.804) Prec@5 73.438 (66.100) Epoch: [8][9860/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4482 (2.7554) Prec@1 46.094 (40.805) Prec@5 71.875 (66.101) Epoch: [8][9870/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6213 (2.7554) Prec@1 32.031 (40.805) Prec@5 69.531 (66.102) Epoch: [8][9880/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8278 (2.7553) Prec@1 35.938 (40.804) Prec@5 69.531 (66.104) Epoch: [8][9890/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.2427 (2.7555) Prec@1 31.250 (40.799) Prec@5 55.469 (66.101) Epoch: [8][9900/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0140 (2.7555) Prec@1 37.500 (40.798) Prec@5 61.719 (66.100) Epoch: [8][9910/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5822 (2.7556) Prec@1 46.875 (40.799) Prec@5 71.875 (66.101) Epoch: [8][9920/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8321 (2.7555) Prec@1 43.750 (40.799) Prec@5 62.500 (66.101) Epoch: [8][9930/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8186 (2.7556) Prec@1 36.719 (40.798) Prec@5 63.281 (66.100) Epoch: [8][9940/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4374 (2.7556) Prec@1 46.875 (40.799) Prec@5 70.312 (66.101) Epoch: [8][9950/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6424 (2.7556) Prec@1 39.844 (40.798) Prec@5 67.188 (66.101) Epoch: [8][9960/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5156 (2.7555) Prec@1 46.875 (40.799) Prec@5 69.531 (66.104) Epoch: [8][9970/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8283 (2.7555) Prec@1 38.281 (40.796) Prec@5 67.969 (66.104) Epoch: [8][9980/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9582 (2.7555) Prec@1 40.625 (40.796) Prec@5 60.938 (66.103) Epoch: [8][9990/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.0396 (2.7554) Prec@1 32.812 (40.797) Prec@5 57.812 (66.104) Epoch: [8][10000/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8994 (2.7555) Prec@1 38.281 (40.796) Prec@5 64.062 (66.103) Test: [0/391] Time 1.470 (1.470) Loss 2.1219 (2.1219) Prec@1 59.375 (59.375) Prec@5 77.344 (77.344) Test: [10/391] Time 0.104 (0.228) Loss 2.0597 (1.7436) Prec@1 55.469 (60.795) Prec@5 75.000 (81.676) Test: [20/391] Time 0.105 (0.169) Loss 2.5566 (2.1632) Prec@1 35.938 (51.228) Prec@5 72.656 (75.781) Test: [30/391] Time 0.107 (0.150) Loss 2.6451 (2.2222) Prec@1 48.438 (49.622) Prec@5 70.312 (75.227) Test: [40/391] Time 0.104 (0.139) Loss 3.0820 (2.0815) Prec@1 39.844 (53.201) Prec@5 58.594 (76.982) Test: [50/391] Time 0.109 (0.134) Loss 1.3309 (2.2003) Prec@1 68.750 (51.271) Prec@5 89.844 (75.000) Test: [60/391] Time 0.111 (0.130) Loss 1.7520 (2.0856) Prec@1 53.906 (53.279) Prec@5 84.375 (76.665) Test: [70/391] Time 0.106 (0.127) Loss 1.5883 (2.1410) Prec@1 54.688 (51.056) Prec@5 88.281 (76.166) Test: [80/391] Time 0.106 (0.124) Loss 2.2679 (2.1402) Prec@1 42.188 (50.087) Prec@5 72.656 (76.476) Test: [90/391] Time 0.103 (0.122) Loss 2.7492 (2.1520) Prec@1 31.250 (49.476) Prec@5 67.969 (76.399) Test: [100/391] Time 0.106 (0.121) Loss 2.5750 (2.1157) Prec@1 28.125 (49.203) Prec@5 71.875 (77.205) Test: [110/391] Time 0.110 (0.120) Loss 1.3915 (2.1072) Prec@1 55.469 (49.134) Prec@5 88.281 (77.372) Test: [120/391] Time 0.107 (0.119) Loss 1.9274 (2.0956) Prec@1 51.562 (49.438) Prec@5 83.594 (77.647) Test: [130/391] Time 0.103 (0.118) Loss 1.4777 (2.0931) Prec@1 68.750 (49.678) Prec@5 80.469 (77.535) Test: [140/391] Time 0.166 (0.117) Loss 2.3363 (2.0796) Prec@1 43.750 (49.867) Prec@5 77.344 (77.793) Test: [150/391] Time 0.102 (0.117) Loss 1.4015 (2.0769) Prec@1 52.344 (49.881) Prec@5 91.406 (77.794) Test: [160/391] Time 0.108 (0.116) Loss 2.4187 (2.0938) Prec@1 37.500 (49.626) Prec@5 69.531 (77.552) Test: [170/391] Time 0.105 (0.115) Loss 3.3417 (2.1457) Prec@1 24.219 (48.876) Prec@5 57.812 (76.722) Test: [180/391] Time 0.102 (0.115) Loss 2.6955 (2.1856) Prec@1 44.531 (48.291) Prec@5 70.312 (76.066) Test: [190/391] Time 0.106 (0.115) Loss 3.5051 (2.2232) Prec@1 25.000 (47.640) Prec@5 57.812 (75.474) Test: [200/391] Time 0.107 (0.114) Loss 2.7326 (2.2678) Prec@1 41.406 (46.976) Prec@5 65.625 (74.759) Test: [210/391] Time 0.114 (0.114) Loss 2.1828 (2.2926) Prec@1 45.312 (46.538) Prec@5 76.562 (74.396) Test: [220/391] Time 0.105 (0.114) Loss 2.0792 (2.3020) Prec@1 52.344 (46.525) Prec@5 74.219 (74.240) Test: [230/391] Time 0.105 (0.114) Loss 3.7272 (2.3178) Prec@1 24.219 (46.327) Prec@5 46.094 (73.925) Test: [240/391] Time 0.102 (0.113) Loss 3.0196 (2.3357) Prec@1 32.812 (46.126) Prec@5 64.062 (73.548) Test: [250/391] Time 0.105 (0.113) Loss 2.4566 (2.3617) Prec@1 46.875 (45.751) Prec@5 73.438 (73.207) Test: [260/391] Time 0.102 (0.113) Loss 3.2990 (2.3884) Prec@1 28.125 (45.256) Prec@5 57.812 (72.755) Test: [270/391] Time 0.110 (0.113) Loss 2.9938 (2.4028) Prec@1 32.812 (45.209) Prec@5 63.281 (72.449) Test: [280/391] Time 0.102 (0.112) Loss 2.3408 (2.4198) Prec@1 41.406 (44.976) Prec@5 75.781 (72.209) Test: [290/391] Time 0.103 (0.112) Loss 3.4395 (2.4322) Prec@1 17.969 (44.837) Prec@5 60.156 (72.017) Test: [300/391] Time 0.102 (0.112) Loss 2.3511 (2.4497) Prec@1 58.594 (44.638) Prec@5 75.781 (71.732) Test: [310/391] Time 0.120 (0.112) Loss 3.0807 (2.4665) Prec@1 42.188 (44.463) Prec@5 60.938 (71.476) Test: [320/391] Time 0.107 (0.112) Loss 2.0948 (2.4820) Prec@1 55.469 (44.234) Prec@5 75.781 (71.250) Test: [330/391] Time 0.104 (0.112) Loss 3.3367 (2.5092) Prec@1 28.125 (43.882) Prec@5 57.812 (70.829) Test: [340/391] Time 0.102 (0.112) Loss 1.7490 (2.5142) Prec@1 57.031 (43.768) Prec@5 84.375 (70.791) Test: [350/391] Time 0.111 (0.112) Loss 2.6748 (2.5221) Prec@1 47.656 (43.721) Prec@5 71.094 (70.646) Test: [360/391] Time 0.108 (0.111) Loss 2.6818 (2.5311) Prec@1 31.250 (43.607) Prec@5 71.094 (70.518) Test: [370/391] Time 0.168 (0.112) Loss 2.1728 (2.5263) Prec@1 47.656 (43.619) Prec@5 85.938 (70.630) Test: [380/391] Time 0.108 (0.111) Loss 1.7584 (2.5263) Prec@1 57.812 (43.662) Prec@5 85.156 (70.630) Test: [390/391] Time 0.073 (0.111) Loss 3.0029 (2.5108) Prec@1 37.500 (43.976) Prec@5 58.750 (70.868) * Prec@1 43.976 Prec@5 70.868 Epoch: [9][0/10010] Time 2.593 (2.593) Data 2.409 (2.409) Loss 2.5730 (2.5730) Prec@1 46.094 (46.094) Prec@5 71.094 (71.094) Epoch: [9][10/10010] Time 0.326 (0.530) Data 0.001 (0.224) Loss 2.8594 (2.6135) Prec@1 35.938 (43.750) Prec@5 67.188 (69.744) Epoch: [9][20/10010] Time 0.322 (0.431) Data 0.001 (0.118) Loss 2.5054 (2.6835) Prec@1 46.875 (42.150) Prec@5 71.875 (67.746) Epoch: [9][30/10010] Time 0.322 (0.395) Data 0.001 (0.080) Loss 2.7680 (2.7060) Prec@1 35.156 (41.457) Prec@5 66.406 (67.011) Epoch: [9][40/10010] Time 0.321 (0.378) Data 0.001 (0.061) Loss 2.9166 (2.7232) Prec@1 39.844 (41.139) Prec@5 60.156 (66.559) Epoch: [9][50/10010] Time 0.328 (0.368) Data 0.003 (0.049) Loss 2.6890 (2.7142) Prec@1 48.438 (41.559) Prec@5 70.312 (66.850) Epoch: [9][60/10010] Time 0.335 (0.362) Data 0.000 (0.041) Loss 2.9517 (2.7085) Prec@1 33.594 (41.573) Prec@5 64.062 (66.995) Epoch: [9][70/10010] Time 0.338 (0.359) Data 0.000 (0.035) Loss 2.9233 (2.7100) Prec@1 39.844 (41.450) Prec@5 65.625 (67.088) Epoch: [9][80/10010] Time 0.333 (0.355) Data 0.001 (0.031) Loss 2.5644 (2.6849) Prec@1 42.188 (41.734) Prec@5 73.438 (67.554) Epoch: [9][90/10010] Time 0.345 (0.353) Data 0.000 (0.028) Loss 2.5438 (2.6789) Prec@1 42.188 (41.887) Prec@5 67.969 (67.651) Epoch: [9][100/10010] Time 0.324 (0.351) Data 0.000 (0.025) Loss 2.6109 (2.6805) Prec@1 47.656 (41.909) Prec@5 67.969 (67.528) Epoch: [9][110/10010] Time 0.325 (0.349) Data 0.000 (0.023) Loss 2.6994 (2.6921) Prec@1 39.062 (41.772) Prec@5 67.969 (67.406) Epoch: [9][120/10010] Time 0.341 (0.348) Data 0.001 (0.021) Loss 2.5266 (2.6810) Prec@1 46.875 (41.994) Prec@5 69.531 (67.530) Epoch: [9][130/10010] Time 0.323 (0.346) Data 0.000 (0.019) Loss 2.4256 (2.6816) Prec@1 48.438 (42.044) Prec@5 71.094 (67.468) Epoch: [9][140/10010] Time 0.323 (0.345) Data 0.001 (0.018) Loss 2.7121 (2.6852) Prec@1 42.969 (41.982) Prec@5 64.844 (67.293) Epoch: [9][150/10010] Time 0.315 (0.344) Data 0.000 (0.017) Loss 2.4906 (2.6841) Prec@1 43.750 (41.965) Prec@5 65.625 (67.182) Epoch: [9][160/10010] Time 0.344 (0.343) Data 0.001 (0.016) Loss 2.5159 (2.6796) Prec@1 46.094 (41.959) Prec@5 70.312 (67.285) Epoch: [9][170/10010] Time 0.336 (0.343) Data 0.001 (0.015) Loss 2.4732 (2.6838) Prec@1 42.969 (41.822) Prec@5 71.094 (67.357) Epoch: [9][180/10010] Time 0.322 (0.342) Data 0.001 (0.014) Loss 2.5753 (2.6850) Prec@1 46.094 (41.859) Prec@5 71.875 (67.334) Epoch: [9][190/10010] Time 0.324 (0.341) Data 0.000 (0.013) Loss 2.8143 (2.6866) Prec@1 38.281 (41.823) Prec@5 65.625 (67.318) Epoch: [9][200/10010] Time 0.343 (0.341) Data 0.001 (0.013) Loss 2.6889 (2.6921) Prec@1 44.531 (41.741) Prec@5 67.969 (67.242) Epoch: [9][210/10010] Time 0.345 (0.341) Data 0.000 (0.012) Loss 2.5250 (2.6934) Prec@1 46.875 (41.754) Prec@5 72.656 (67.254) Epoch: [9][220/10010] Time 0.323 (0.340) Data 0.001 (0.012) Loss 2.3737 (2.6911) Prec@1 46.875 (41.809) Prec@5 67.969 (67.311) Epoch: [9][230/10010] Time 0.345 (0.340) Data 0.001 (0.011) Loss 2.5655 (2.6939) Prec@1 46.094 (41.758) Prec@5 68.750 (67.282) Epoch: [9][240/10010] Time 0.329 (0.339) Data 0.000 (0.011) Loss 2.2422 (2.6920) Prec@1 57.031 (41.779) Prec@5 71.875 (67.317) Epoch: [9][250/10010] Time 0.334 (0.339) Data 0.000 (0.010) Loss 2.9423 (2.6927) Prec@1 35.156 (41.761) Prec@5 58.594 (67.312) Epoch: [9][260/10010] Time 0.331 (0.339) Data 0.001 (0.010) Loss 2.6331 (2.6978) Prec@1 42.969 (41.673) Prec@5 67.188 (67.152) Epoch: [9][270/10010] Time 0.330 (0.338) Data 0.001 (0.010) Loss 2.7732 (2.7007) Prec@1 42.188 (41.640) Prec@5 68.750 (67.101) Epoch: [9][280/10010] Time 0.318 (0.338) Data 0.001 (0.009) Loss 3.0317 (2.6987) Prec@1 37.500 (41.673) Prec@5 65.625 (67.121) Epoch: [9][290/10010] Time 0.334 (0.338) Data 0.001 (0.009) Loss 2.6935 (2.7026) Prec@1 39.062 (41.565) Prec@5 65.625 (67.051) Epoch: [9][300/10010] Time 0.334 (0.338) Data 0.000 (0.009) Loss 2.6246 (2.7011) Prec@1 47.656 (41.562) Prec@5 67.969 (67.091) Epoch: [9][310/10010] Time 0.324 (0.338) Data 0.001 (0.008) Loss 2.3106 (2.7037) Prec@1 45.312 (41.514) Prec@5 70.312 (67.044) Epoch: [9][320/10010] Time 0.334 (0.338) Data 0.000 (0.008) Loss 3.1900 (2.7059) Prec@1 36.719 (41.435) Prec@5 64.062 (67.020) Epoch: [9][330/10010] Time 0.338 (0.337) Data 0.001 (0.008) Loss 2.4831 (2.7071) Prec@1 46.875 (41.463) Prec@5 70.312 (66.999) Epoch: [9][340/10010] Time 0.341 (0.337) Data 0.001 (0.008) Loss 2.4428 (2.7064) Prec@1 44.531 (41.514) Prec@5 71.094 (66.963) Epoch: [9][350/10010] Time 0.325 (0.337) Data 0.000 (0.008) Loss 2.9312 (2.7066) Prec@1 39.844 (41.526) Prec@5 63.281 (67.001) Epoch: [9][360/10010] Time 0.325 (0.337) Data 0.000 (0.007) Loss 2.6955 (2.7047) Prec@1 39.062 (41.569) Prec@5 69.531 (67.071) Epoch: [9][370/10010] Time 0.326 (0.337) Data 0.000 (0.007) Loss 3.0072 (2.7076) Prec@1 38.281 (41.539) Prec@5 61.719 (67.036) Epoch: [9][380/10010] Time 0.320 (0.336) Data 0.001 (0.007) Loss 2.5650 (2.7081) Prec@1 42.969 (41.542) Prec@5 68.750 (67.050) Epoch: [9][390/10010] Time 0.325 (0.336) Data 0.001 (0.007) Loss 2.9861 (2.7068) Prec@1 38.281 (41.576) Prec@5 60.156 (67.016) Epoch: [9][400/10010] Time 0.338 (0.336) Data 0.001 (0.007) Loss 2.4912 (2.7049) Prec@1 43.750 (41.636) Prec@5 72.656 (67.051) Epoch: [9][410/10010] Time 0.340 (0.336) Data 0.000 (0.007) Loss 2.5052 (2.7050) Prec@1 36.719 (41.608) Prec@5 70.312 (67.035) Epoch: [9][420/10010] Time 0.331 (0.336) Data 0.000 (0.006) Loss 2.6590 (2.7046) Prec@1 38.281 (41.609) Prec@5 67.969 (67.076) Epoch: [9][430/10010] Time 0.342 (0.336) Data 0.001 (0.006) Loss 2.9186 (2.7069) Prec@1 39.844 (41.577) Prec@5 64.844 (67.055) Epoch: [9][440/10010] Time 0.319 (0.336) Data 0.000 (0.006) Loss 2.8740 (2.7100) Prec@1 40.625 (41.516) Prec@5 65.625 (66.998) Epoch: [9][450/10010] Time 0.344 (0.336) Data 0.001 (0.006) Loss 2.7526 (2.7101) Prec@1 34.375 (41.517) Prec@5 63.281 (67.006) Epoch: [9][460/10010] Time 0.314 (0.336) Data 0.001 (0.006) Loss 2.5904 (2.7104) Prec@1 42.969 (41.508) Prec@5 68.750 (66.996) Epoch: [9][470/10010] Time 0.341 (0.336) Data 0.001 (0.006) Loss 3.1042 (2.7102) Prec@1 31.250 (41.489) Prec@5 57.812 (67.003) Epoch: [9][480/10010] Time 0.325 (0.336) Data 0.000 (0.006) Loss 2.4228 (2.7087) Prec@1 42.969 (41.536) Prec@5 64.062 (67.023) Epoch: [9][490/10010] Time 0.346 (0.336) Data 0.001 (0.006) Loss 2.6139 (2.7092) Prec@1 42.188 (41.524) Prec@5 70.312 (67.017) Epoch: [9][500/10010] Time 0.330 (0.336) Data 0.000 (0.005) Loss 2.6789 (2.7100) Prec@1 39.062 (41.498) Prec@5 66.406 (67.002) Epoch: [9][510/10010] Time 0.345 (0.336) Data 0.001 (0.005) Loss 2.6580 (2.7115) Prec@1 39.062 (41.495) Prec@5 67.188 (66.981) Epoch: [9][520/10010] Time 0.327 (0.336) Data 0.001 (0.005) Loss 2.7905 (2.7123) Prec@1 36.719 (41.475) Prec@5 67.969 (66.985) Epoch: [9][530/10010] Time 0.323 (0.335) Data 0.001 (0.005) Loss 2.8310 (2.7105) Prec@1 39.062 (41.511) Prec@5 63.281 (67.008) Epoch: [9][540/10010] Time 0.331 (0.335) Data 0.001 (0.005) Loss 2.5023 (2.7108) Prec@1 43.750 (41.502) Prec@5 69.531 (66.988) Epoch: [9][550/10010] Time 0.329 (0.335) Data 0.000 (0.005) Loss 2.4743 (2.7105) Prec@1 47.656 (41.510) Prec@5 69.531 (66.961) /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: [9][560/10010] Time 0.324 (0.335) Data 0.001 (0.005) Loss 2.8232 (2.7108) Prec@1 35.156 (41.476) Prec@5 70.312 (66.961) Epoch: [9][570/10010] Time 0.338 (0.335) Data 0.000 (0.005) Loss 3.0048 (2.7119) Prec@1 37.500 (41.471) Prec@5 60.156 (66.947) Epoch: [9][580/10010] Time 0.327 (0.335) Data 0.001 (0.005) Loss 2.7900 (2.7137) Prec@1 38.281 (41.441) Prec@5 69.531 (66.941) Epoch: [9][590/10010] Time 0.319 (0.335) Data 0.001 (0.005) Loss 2.7075 (2.7149) Prec@1 40.625 (41.422) Prec@5 66.406 (66.935) Epoch: [9][600/10010] Time 0.319 (0.335) Data 0.001 (0.005) Loss 2.6142 (2.7158) Prec@1 39.844 (41.400) Prec@5 71.875 (66.891) Epoch: [9][610/10010] Time 0.331 (0.335) Data 0.001 (0.005) Loss 2.7918 (2.7159) Prec@1 42.188 (41.390) Prec@5 59.375 (66.881) Epoch: [9][620/10010] Time 0.338 (0.335) Data 0.000 (0.005) Loss 3.0638 (2.7168) Prec@1 35.938 (41.385) Prec@5 53.906 (66.838) Epoch: [9][630/10010] Time 0.319 (0.335) Data 0.001 (0.004) Loss 2.5726 (2.7166) Prec@1 46.875 (41.419) Prec@5 73.438 (66.863) Epoch: [9][640/10010] Time 0.332 (0.334) Data 0.001 (0.004) Loss 2.2538 (2.7161) Prec@1 52.344 (41.439) Prec@5 75.781 (66.884) Epoch: [9][650/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 2.5322 (2.7162) Prec@1 43.750 (41.429) Prec@5 69.531 (66.868) Epoch: [9][660/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 2.8310 (2.7156) Prec@1 35.156 (41.448) Prec@5 66.406 (66.871) Epoch: [9][670/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 2.8997 (2.7155) Prec@1 38.281 (41.426) Prec@5 67.188 (66.873) Epoch: [9][680/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.9517 (2.7173) Prec@1 39.844 (41.395) Prec@5 65.625 (66.855) Epoch: [9][690/10010] Time 0.327 (0.334) Data 0.000 (0.004) Loss 2.7338 (2.7175) Prec@1 41.406 (41.389) Prec@5 65.625 (66.860) Epoch: [9][700/10010] Time 0.331 (0.334) Data 0.001 (0.004) Loss 2.6984 (2.7163) Prec@1 44.531 (41.394) Prec@5 71.094 (66.881) Epoch: [9][710/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.5021 (2.7164) Prec@1 38.281 (41.395) Prec@5 69.531 (66.881) Epoch: [9][720/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.4681 (2.7169) Prec@1 46.875 (41.414) Prec@5 70.312 (66.880) Epoch: [9][730/10010] Time 0.322 (0.334) Data 0.000 (0.004) Loss 2.4707 (2.7170) Prec@1 47.656 (41.404) Prec@5 65.625 (66.855) Epoch: [9][740/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 2.8578 (2.7168) Prec@1 40.625 (41.412) Prec@5 61.719 (66.854) Epoch: [9][750/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.8387 (2.7165) Prec@1 39.062 (41.417) Prec@5 65.625 (66.858) Epoch: [9][760/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 2.8791 (2.7171) Prec@1 36.719 (41.418) Prec@5 68.750 (66.867) Epoch: [9][770/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 2.8762 (2.7163) Prec@1 38.281 (41.433) Prec@5 66.406 (66.888) Epoch: [9][780/10010] Time 0.340 (0.334) Data 0.000 (0.004) Loss 2.4102 (2.7156) Prec@1 41.406 (41.424) Prec@5 71.875 (66.895) Epoch: [9][790/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 2.8250 (2.7161) Prec@1 40.625 (41.419) Prec@5 65.625 (66.868) Epoch: [9][800/10010] Time 0.345 (0.334) Data 0.000 (0.004) Loss 2.4772 (2.7154) Prec@1 43.750 (41.436) Prec@5 68.750 (66.879) Epoch: [9][810/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.7189 (2.7163) Prec@1 43.750 (41.430) Prec@5 67.969 (66.850) Epoch: [9][820/10010] Time 0.344 (0.334) Data 0.000 (0.004) Loss 2.7520 (2.7165) Prec@1 35.938 (41.436) Prec@5 68.750 (66.856) Epoch: [9][830/10010] Time 0.331 (0.334) Data 0.000 (0.004) Loss 2.8410 (2.7158) Prec@1 35.156 (41.444) Prec@5 66.406 (66.878) Epoch: [9][840/10010] Time 0.322 (0.334) Data 0.001 (0.004) Loss 2.6202 (2.7154) Prec@1 42.969 (41.459) Prec@5 67.969 (66.889) Epoch: [9][850/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 2.8986 (2.7154) Prec@1 39.844 (41.448) Prec@5 67.188 (66.872) Epoch: [9][860/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 2.7084 (2.7147) Prec@1 46.094 (41.461) Prec@5 67.969 (66.879) Epoch: [9][870/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 2.6189 (2.7154) Prec@1 44.531 (41.440) Prec@5 69.531 (66.866) Epoch: [9][880/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 3.0720 (2.7159) Prec@1 36.719 (41.429) Prec@5 63.281 (66.869) Epoch: [9][890/10010] Time 0.341 (0.334) Data 0.000 (0.003) Loss 2.5926 (2.7163) Prec@1 42.188 (41.424) Prec@5 67.969 (66.864) Epoch: [9][900/10010] Time 0.336 (0.334) Data 0.001 (0.003) Loss 2.8801 (2.7172) Prec@1 36.719 (41.398) Prec@5 64.844 (66.842) Epoch: [9][910/10010] Time 0.345 (0.334) Data 0.001 (0.003) Loss 2.4505 (2.7166) Prec@1 48.438 (41.411) Prec@5 71.094 (66.832) Epoch: [9][920/10010] Time 0.319 (0.334) Data 0.001 (0.003) Loss 2.5929 (2.7166) Prec@1 46.094 (41.422) Prec@5 71.094 (66.830) Epoch: [9][930/10010] Time 0.347 (0.334) Data 0.000 (0.003) Loss 3.0020 (2.7177) Prec@1 37.500 (41.400) Prec@5 62.500 (66.801) Epoch: [9][940/10010] Time 0.322 (0.334) Data 0.000 (0.003) Loss 2.6201 (2.7186) Prec@1 39.062 (41.381) Prec@5 68.750 (66.796) Epoch: [9][950/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 2.8234 (2.7191) Prec@1 34.375 (41.360) Prec@5 66.406 (66.785) Epoch: [9][960/10010] Time 0.328 (0.334) Data 0.000 (0.003) Loss 2.9338 (2.7196) Prec@1 35.938 (41.358) Prec@5 63.281 (66.780) Epoch: [9][970/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 2.6104 (2.7189) Prec@1 39.062 (41.366) Prec@5 71.875 (66.801) Epoch: [9][980/10010] Time 0.341 (0.334) Data 0.000 (0.003) Loss 2.5246 (2.7176) Prec@1 50.781 (41.402) Prec@5 71.875 (66.821) Epoch: [9][990/10010] Time 0.334 (0.334) Data 0.001 (0.003) Loss 2.9569 (2.7192) Prec@1 36.719 (41.370) Prec@5 61.719 (66.792) Epoch: [9][1000/10010] Time 0.329 (0.334) Data 0.000 (0.003) Loss 3.0524 (2.7183) Prec@1 34.375 (41.391) Prec@5 60.938 (66.814) Epoch: [9][1010/10010] Time 0.338 (0.334) Data 0.000 (0.003) Loss 3.0856 (2.7181) Prec@1 38.281 (41.409) Prec@5 56.250 (66.792) Epoch: [9][1020/10010] Time 0.342 (0.334) Data 0.000 (0.003) Loss 3.0766 (2.7179) Prec@1 34.375 (41.418) Prec@5 61.719 (66.800) Epoch: [9][1030/10010] Time 0.340 (0.334) Data 0.000 (0.003) Loss 2.2274 (2.7175) Prec@1 50.000 (41.415) Prec@5 71.875 (66.803) Epoch: [9][1040/10010] Time 0.332 (0.334) Data 0.000 (0.003) Loss 2.7744 (2.7177) Prec@1 38.281 (41.405) Prec@5 64.062 (66.801) Epoch: [9][1050/10010] Time 0.353 (0.334) Data 0.001 (0.003) Loss 2.7913 (2.7182) Prec@1 42.188 (41.388) Prec@5 60.156 (66.784) Epoch: [9][1060/10010] Time 0.319 (0.334) Data 0.001 (0.003) Loss 2.9851 (2.7185) Prec@1 33.594 (41.366) Prec@5 60.156 (66.780) Epoch: [9][1070/10010] Time 0.334 (0.334) Data 0.000 (0.003) Loss 2.9690 (2.7186) Prec@1 37.500 (41.356) Prec@5 57.031 (66.766) Epoch: [9][1080/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 2.5659 (2.7189) Prec@1 45.312 (41.361) Prec@5 62.500 (66.753) Epoch: [9][1090/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.7171 (2.7186) Prec@1 42.188 (41.360) Prec@5 67.188 (66.766) Epoch: [9][1100/10010] Time 0.338 (0.334) Data 0.001 (0.003) Loss 2.5507 (2.7191) Prec@1 42.188 (41.362) Prec@5 67.969 (66.757) Epoch: [9][1110/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 3.1435 (2.7190) Prec@1 34.375 (41.362) Prec@5 57.031 (66.754) Epoch: [9][1120/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.6267 (2.7194) Prec@1 41.406 (41.350) Prec@5 62.500 (66.737) Epoch: [9][1130/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 3.1521 (2.7198) Prec@1 32.031 (41.339) Prec@5 58.594 (66.723) Epoch: [9][1140/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 3.0716 (2.7198) Prec@1 39.844 (41.344) Prec@5 64.844 (66.728) Epoch: [9][1150/10010] Time 0.340 (0.334) Data 0.001 (0.003) Loss 2.6014 (2.7199) Prec@1 41.406 (41.345) Prec@5 64.844 (66.715) Epoch: [9][1160/10010] Time 0.335 (0.334) Data 0.001 (0.003) Loss 2.5204 (2.7200) Prec@1 41.406 (41.340) Prec@5 69.531 (66.718) Epoch: [9][1170/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 2.5926 (2.7202) Prec@1 43.750 (41.340) Prec@5 65.625 (66.725) Epoch: [9][1180/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.8879 (2.7204) Prec@1 42.969 (41.345) Prec@5 64.844 (66.725) Epoch: [9][1190/10010] Time 0.336 (0.334) Data 0.000 (0.003) Loss 2.7027 (2.7200) Prec@1 45.312 (41.349) Prec@5 64.844 (66.736) Epoch: [9][1200/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.5096 (2.7203) Prec@1 49.219 (41.348) Prec@5 73.438 (66.739) Epoch: [9][1210/10010] Time 0.346 (0.334) Data 0.001 (0.003) Loss 2.7404 (2.7207) Prec@1 41.406 (41.339) Prec@5 64.844 (66.733) Epoch: [9][1220/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 3.0663 (2.7214) Prec@1 32.031 (41.342) Prec@5 67.188 (66.733) Epoch: [9][1230/10010] Time 0.345 (0.334) Data 0.001 (0.003) Loss 3.1903 (2.7214) Prec@1 35.156 (41.341) Prec@5 62.500 (66.743) Epoch: [9][1240/10010] Time 0.336 (0.334) Data 0.001 (0.003) Loss 2.6282 (2.7217) Prec@1 43.750 (41.339) Prec@5 71.094 (66.720) Epoch: [9][1250/10010] Time 0.345 (0.334) Data 0.001 (0.003) Loss 2.7381 (2.7224) Prec@1 40.625 (41.329) Prec@5 66.406 (66.709) Epoch: [9][1260/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.6016 (2.7239) Prec@1 34.375 (41.302) Prec@5 67.969 (66.700) Epoch: [9][1270/10010] Time 0.330 (0.334) Data 0.001 (0.003) Loss 2.6720 (2.7231) Prec@1 40.625 (41.309) Prec@5 71.094 (66.714) Epoch: [9][1280/10010] Time 0.332 (0.334) Data 0.001 (0.003) Loss 2.9191 (2.7234) Prec@1 42.188 (41.303) Prec@5 64.062 (66.701) Epoch: [9][1290/10010] Time 0.323 (0.334) Data 0.000 (0.003) Loss 2.5976 (2.7230) Prec@1 38.281 (41.306) Prec@5 69.531 (66.715) Epoch: [9][1300/10010] Time 0.341 (0.334) Data 0.000 (0.002) Loss 3.2583 (2.7230) Prec@1 32.812 (41.306) Prec@5 56.250 (66.716) Epoch: [9][1310/10010] Time 0.342 (0.334) Data 0.001 (0.002) Loss 2.6996 (2.7231) Prec@1 43.750 (41.317) Prec@5 67.188 (66.725) Epoch: [9][1320/10010] Time 0.320 (0.334) Data 0.001 (0.002) Loss 2.8250 (2.7235) Prec@1 37.500 (41.311) Prec@5 69.531 (66.719) Epoch: [9][1330/10010] Time 0.333 (0.334) Data 0.000 (0.002) Loss 2.7084 (2.7229) Prec@1 46.875 (41.315) Prec@5 67.969 (66.731) Epoch: [9][1340/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.8565 (2.7232) Prec@1 39.062 (41.311) Prec@5 67.188 (66.726) Epoch: [9][1350/10010] Time 0.346 (0.334) Data 0.001 (0.002) Loss 2.6643 (2.7231) Prec@1 46.875 (41.312) Prec@5 71.875 (66.732) Epoch: [9][1360/10010] Time 0.350 (0.334) Data 0.000 (0.002) Loss 2.8929 (2.7232) Prec@1 32.812 (41.306) Prec@5 64.062 (66.728) Epoch: [9][1370/10010] Time 0.330 (0.334) Data 0.000 (0.002) Loss 2.4670 (2.7230) Prec@1 40.625 (41.315) Prec@5 69.531 (66.726) /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: [9][1380/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 3.1452 (2.7233) Prec@1 35.156 (41.317) Prec@5 60.938 (66.728) Epoch: [9][1390/10010] Time 0.341 (0.334) Data 0.000 (0.002) Loss 2.9354 (2.7230) Prec@1 41.406 (41.313) Prec@5 63.281 (66.743) Epoch: [9][1400/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 2.6322 (2.7230) Prec@1 35.938 (41.300) Prec@5 71.875 (66.750) Epoch: [9][1410/10010] Time 0.340 (0.334) Data 0.000 (0.002) Loss 2.5484 (2.7230) Prec@1 36.719 (41.297) Prec@5 67.969 (66.743) Epoch: [9][1420/10010] Time 0.321 (0.334) Data 0.001 (0.002) Loss 2.7022 (2.7233) Prec@1 45.312 (41.301) Prec@5 71.094 (66.730) Epoch: [9][1430/10010] Time 0.342 (0.334) Data 0.001 (0.002) Loss 2.8897 (2.7235) Prec@1 38.281 (41.298) Prec@5 64.062 (66.727) Epoch: [9][1440/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 2.8866 (2.7237) Prec@1 45.312 (41.309) Prec@5 59.375 (66.732) Epoch: [9][1450/10010] Time 0.324 (0.334) Data 0.000 (0.002) Loss 2.5859 (2.7231) Prec@1 44.531 (41.330) Prec@5 68.750 (66.747) Epoch: [9][1460/10010] Time 0.328 (0.334) Data 0.000 (0.002) Loss 2.4251 (2.7228) Prec@1 49.219 (41.340) Prec@5 75.000 (66.754) Epoch: [9][1470/10010] Time 0.332 (0.334) Data 0.000 (0.002) Loss 2.8396 (2.7222) Prec@1 34.375 (41.346) Prec@5 68.750 (66.771) Epoch: [9][1480/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 2.7879 (2.7222) Prec@1 43.750 (41.353) Prec@5 68.750 (66.767) Epoch: [9][1490/10010] Time 0.333 (0.334) Data 0.000 (0.002) Loss 2.7705 (2.7216) Prec@1 37.500 (41.365) Prec@5 65.625 (66.781) Epoch: [9][1500/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.6965 (2.7218) Prec@1 44.531 (41.358) Prec@5 68.750 (66.773) Epoch: [9][1510/10010] Time 0.337 (0.334) Data 0.000 (0.002) Loss 2.5993 (2.7218) Prec@1 41.406 (41.345) Prec@5 68.750 (66.761) Epoch: [9][1520/10010] Time 0.328 (0.334) Data 0.001 (0.002) Loss 2.7446 (2.7219) Prec@1 39.844 (41.338) Prec@5 66.406 (66.762) Epoch: [9][1530/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.7036 (2.7222) Prec@1 42.969 (41.338) Prec@5 71.094 (66.765) Epoch: [9][1540/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 2.8181 (2.7225) Prec@1 37.500 (41.329) Prec@5 64.062 (66.760) Epoch: [9][1550/10010] Time 0.334 (0.334) Data 0.001 (0.002) Loss 2.6925 (2.7223) Prec@1 40.625 (41.326) Prec@5 64.844 (66.760) Epoch: [9][1560/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.8942 (2.7225) Prec@1 36.719 (41.327) Prec@5 64.844 (66.764) Epoch: [9][1570/10010] Time 0.324 (0.334) Data 0.000 (0.002) Loss 2.7306 (2.7233) Prec@1 44.531 (41.318) Prec@5 64.844 (66.749) Epoch: [9][1580/10010] Time 0.344 (0.334) Data 0.001 (0.002) Loss 2.5714 (2.7236) Prec@1 43.750 (41.323) Prec@5 73.438 (66.744) Epoch: [9][1590/10010] Time 0.343 (0.334) Data 0.000 (0.002) Loss 3.1075 (2.7234) Prec@1 35.156 (41.329) Prec@5 63.281 (66.752) Epoch: [9][1600/10010] Time 0.340 (0.334) Data 0.000 (0.002) Loss 2.3538 (2.7229) Prec@1 48.438 (41.325) Prec@5 68.750 (66.757) Epoch: [9][1610/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 2.8420 (2.7233) Prec@1 32.812 (41.320) Prec@5 63.281 (66.750) Epoch: [9][1620/10010] Time 0.317 (0.334) Data 0.001 (0.002) Loss 2.8176 (2.7233) Prec@1 35.156 (41.314) Prec@5 64.844 (66.743) Epoch: [9][1630/10010] Time 0.343 (0.334) Data 0.000 (0.002) Loss 2.9279 (2.7235) Prec@1 38.281 (41.307) Prec@5 60.156 (66.734) Epoch: [9][1640/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 2.4010 (2.7243) Prec@1 44.531 (41.299) Prec@5 72.656 (66.717) Epoch: [9][1650/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.2877 (2.7245) Prec@1 50.000 (41.296) Prec@5 73.438 (66.709) Epoch: [9][1660/10010] Time 0.346 (0.334) Data 0.000 (0.002) Loss 2.9408 (2.7252) Prec@1 39.062 (41.278) Prec@5 60.938 (66.698) Epoch: [9][1670/10010] Time 0.345 (0.334) Data 0.000 (0.002) Loss 2.6659 (2.7259) Prec@1 48.438 (41.269) Prec@5 67.188 (66.687) Epoch: [9][1680/10010] Time 0.329 (0.334) Data 0.001 (0.002) Loss 2.8428 (2.7260) Prec@1 32.812 (41.260) Prec@5 67.969 (66.679) Epoch: [9][1690/10010] Time 0.315 (0.334) Data 0.001 (0.002) Loss 2.7881 (2.7270) Prec@1 36.719 (41.255) Prec@5 70.312 (66.664) Epoch: [9][1700/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.3510 (2.7277) Prec@1 53.125 (41.243) Prec@5 75.000 (66.653) Epoch: [9][1710/10010] Time 0.347 (0.334) Data 0.000 (0.002) Loss 2.4839 (2.7281) Prec@1 43.750 (41.233) Prec@5 67.969 (66.645) Epoch: [9][1720/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 2.6443 (2.7276) Prec@1 40.625 (41.245) Prec@5 66.406 (66.654) Epoch: [9][1730/10010] Time 0.333 (0.334) Data 0.000 (0.002) Loss 2.5961 (2.7278) Prec@1 43.750 (41.232) Prec@5 71.875 (66.653) Epoch: [9][1740/10010] Time 0.349 (0.334) Data 0.000 (0.002) Loss 2.7167 (2.7276) Prec@1 43.750 (41.239) Prec@5 64.062 (66.656) Epoch: [9][1750/10010] Time 0.342 (0.334) Data 0.001 (0.002) Loss 2.5038 (2.7275) Prec@1 44.531 (41.246) Prec@5 66.406 (66.647) Epoch: [9][1760/10010] Time 0.329 (0.334) Data 0.001 (0.002) Loss 2.6652 (2.7278) Prec@1 37.500 (41.239) Prec@5 66.406 (66.644) Epoch: [9][1770/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 2.8321 (2.7278) Prec@1 39.844 (41.236) Prec@5 64.062 (66.645) Epoch: [9][1780/10010] Time 0.325 (0.334) Data 0.000 (0.002) Loss 3.0476 (2.7278) Prec@1 34.375 (41.224) Prec@5 60.156 (66.639) Epoch: [9][1790/10010] Time 0.328 (0.334) Data 0.000 (0.002) Loss 3.1507 (2.7281) Prec@1 33.594 (41.223) Prec@5 56.250 (66.633) Epoch: [9][1800/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 2.9646 (2.7283) Prec@1 37.500 (41.220) Prec@5 62.500 (66.631) Epoch: [9][1810/10010] Time 0.342 (0.334) Data 0.001 (0.002) Loss 3.2594 (2.7282) Prec@1 35.156 (41.221) Prec@5 56.250 (66.629) Epoch: [9][1820/10010] Time 0.343 (0.334) Data 0.001 (0.002) Loss 2.7399 (2.7280) Prec@1 43.750 (41.228) Prec@5 66.406 (66.629) Epoch: [9][1830/10010] Time 0.347 (0.334) Data 0.000 (0.002) Loss 2.8512 (2.7280) Prec@1 39.844 (41.236) Prec@5 62.500 (66.629) Epoch: [9][1840/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 2.5883 (2.7277) Prec@1 41.406 (41.235) Prec@5 67.188 (66.642) Epoch: [9][1850/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 2.6086 (2.7280) Prec@1 41.406 (41.235) Prec@5 68.750 (66.641) Epoch: [9][1860/10010] Time 0.320 (0.334) Data 0.000 (0.002) Loss 2.6609 (2.7284) Prec@1 39.844 (41.227) Prec@5 67.188 (66.639) Epoch: [9][1870/10010] Time 0.326 (0.334) Data 0.000 (0.002) Loss 2.6250 (2.7285) Prec@1 43.750 (41.234) Prec@5 69.531 (66.635) Epoch: [9][1880/10010] Time 0.329 (0.334) Data 0.000 (0.002) Loss 2.6529 (2.7288) Prec@1 40.625 (41.230) Prec@5 67.969 (66.623) Epoch: [9][1890/10010] Time 0.346 (0.334) Data 0.001 (0.002) Loss 2.6132 (2.7294) Prec@1 51.562 (41.231) Prec@5 69.531 (66.618) Epoch: [9][1900/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 2.4614 (2.7302) Prec@1 39.844 (41.209) Prec@5 69.531 (66.607) Epoch: [9][1910/10010] Time 0.345 (0.334) Data 0.001 (0.002) Loss 2.5658 (2.7303) Prec@1 37.500 (41.201) Prec@5 69.531 (66.606) Epoch: [9][1920/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 3.2869 (2.7309) Prec@1 32.812 (41.187) Prec@5 57.031 (66.594) Epoch: [9][1930/10010] Time 0.343 (0.334) Data 0.001 (0.002) Loss 2.9402 (2.7312) Prec@1 33.594 (41.183) Prec@5 62.500 (66.591) Epoch: [9][1940/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 2.7938 (2.7314) Prec@1 38.281 (41.176) Prec@5 66.406 (66.581) Epoch: [9][1950/10010] Time 0.345 (0.334) Data 0.001 (0.002) Loss 2.9847 (2.7317) Prec@1 39.062 (41.167) Prec@5 63.281 (66.575) Epoch: [9][1960/10010] Time 0.343 (0.334) Data 0.000 (0.002) Loss 2.7293 (2.7321) Prec@1 44.531 (41.163) Prec@5 66.406 (66.563) Epoch: [9][1970/10010] Time 0.332 (0.334) Data 0.001 (0.002) Loss 2.6240 (2.7320) Prec@1 42.969 (41.172) Prec@5 66.406 (66.566) Epoch: [9][1980/10010] Time 0.342 (0.334) Data 0.000 (0.002) Loss 3.0159 (2.7321) Prec@1 39.062 (41.170) Prec@5 65.625 (66.570) Epoch: [9][1990/10010] Time 0.349 (0.334) Data 0.000 (0.002) Loss 2.4301 (2.7324) Prec@1 43.750 (41.161) Prec@5 72.656 (66.569) Epoch: [9][2000/10010] Time 0.347 (0.334) Data 0.000 (0.002) Loss 2.9207 (2.7324) Prec@1 42.969 (41.163) Prec@5 64.844 (66.575) Epoch: [9][2010/10010] Time 0.327 (0.334) Data 0.000 (0.002) Loss 2.9462 (2.7327) Prec@1 35.156 (41.156) Prec@5 67.969 (66.576) Epoch: [9][2020/10010] Time 0.344 (0.334) Data 0.001 (0.002) Loss 2.8423 (2.7325) Prec@1 40.625 (41.165) Prec@5 64.844 (66.581) Epoch: [9][2030/10010] Time 0.339 (0.334) Data 0.001 (0.002) Loss 2.4768 (2.7327) Prec@1 42.188 (41.155) Prec@5 70.312 (66.571) Epoch: [9][2040/10010] Time 0.324 (0.334) Data 0.000 (0.002) Loss 2.9134 (2.7328) Prec@1 39.062 (41.157) Prec@5 60.156 (66.575) Epoch: [9][2050/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.5166 (2.7331) Prec@1 43.750 (41.156) Prec@5 67.969 (66.570) Epoch: [9][2060/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 2.6184 (2.7335) Prec@1 42.188 (41.155) Prec@5 69.531 (66.566) Epoch: [9][2070/10010] Time 0.332 (0.334) Data 0.000 (0.002) Loss 2.7501 (2.7333) Prec@1 39.062 (41.159) Prec@5 64.844 (66.571) Epoch: [9][2080/10010] Time 0.329 (0.334) Data 0.001 (0.002) Loss 2.4222 (2.7333) Prec@1 47.656 (41.152) Prec@5 71.875 (66.567) Epoch: [9][2090/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.6997 (2.7336) Prec@1 42.969 (41.153) Prec@5 67.188 (66.556) Epoch: [9][2100/10010] Time 0.344 (0.334) Data 0.000 (0.002) Loss 3.3744 (2.7344) Prec@1 34.375 (41.141) Prec@5 55.469 (66.543) Epoch: [9][2110/10010] Time 0.347 (0.334) Data 0.001 (0.002) Loss 2.5116 (2.7348) Prec@1 41.406 (41.128) Prec@5 70.312 (66.535) Epoch: [9][2120/10010] Time 0.347 (0.334) Data 0.001 (0.002) Loss 2.6940 (2.7346) Prec@1 42.969 (41.133) Prec@5 68.750 (66.539) Epoch: [9][2130/10010] Time 0.340 (0.334) Data 0.001 (0.002) Loss 2.7169 (2.7348) Prec@1 42.188 (41.133) Prec@5 66.406 (66.537) Epoch: [9][2140/10010] Time 0.319 (0.334) Data 0.001 (0.002) Loss 2.6338 (2.7350) Prec@1 41.406 (41.127) Prec@5 72.656 (66.536) Epoch: [9][2150/10010] Time 0.332 (0.334) Data 0.000 (0.002) Loss 2.5974 (2.7348) Prec@1 39.844 (41.130) Prec@5 65.625 (66.536) Epoch: [9][2160/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 2.6508 (2.7344) Prec@1 42.969 (41.139) Prec@5 69.531 (66.548) Epoch: [9][2170/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 2.7318 (2.7342) Prec@1 46.094 (41.141) Prec@5 60.938 (66.549) Epoch: [9][2180/10010] Time 0.336 (0.334) Data 0.001 (0.002) Loss 2.7410 (2.7340) Prec@1 42.969 (41.142) Prec@5 67.188 (66.550) Epoch: [9][2190/10010] Time 0.328 (0.334) Data 0.000 (0.002) Loss 2.7648 (2.7338) Prec@1 42.969 (41.145) Prec@5 61.719 (66.554) Epoch: [9][2200/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 2.5471 (2.7333) Prec@1 41.406 (41.152) Prec@5 68.750 (66.560) Epoch: [9][2210/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.5667 (2.7329) Prec@1 46.094 (41.151) Prec@5 71.875 (66.572) Epoch: [9][2220/10010] Time 0.339 (0.334) Data 0.001 (0.002) Loss 2.7452 (2.7333) Prec@1 47.656 (41.151) Prec@5 71.094 (66.561) Epoch: [9][2230/10010] Time 0.334 (0.334) Data 0.000 (0.002) Loss 2.6004 (2.7333) Prec@1 39.062 (41.148) Prec@5 67.188 (66.562) Epoch: [9][2240/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 3.1319 (2.7331) Prec@1 33.594 (41.151) Prec@5 62.500 (66.566) Epoch: [9][2250/10010] Time 0.323 (0.334) Data 0.000 (0.002) Loss 2.7587 (2.7335) Prec@1 38.281 (41.141) Prec@5 64.062 (66.552) Epoch: [9][2260/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 2.7802 (2.7335) Prec@1 40.625 (41.149) Prec@5 67.188 (66.554) Epoch: [9][2270/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 2.7963 (2.7335) Prec@1 38.281 (41.143) Prec@5 66.406 (66.550) Epoch: [9][2280/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 2.7126 (2.7337) Prec@1 41.406 (41.134) Prec@5 65.625 (66.543) Epoch: [9][2290/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 2.7390 (2.7332) Prec@1 43.750 (41.148) Prec@5 60.156 (66.549) Epoch: [9][2300/10010] Time 0.329 (0.334) Data 0.000 (0.002) Loss 2.7636 (2.7333) Prec@1 38.281 (41.142) Prec@5 66.406 (66.551) Epoch: [9][2310/10010] Time 0.340 (0.334) Data 0.000 (0.002) Loss 2.7708 (2.7332) Prec@1 45.312 (41.148) Prec@5 64.062 (66.547) Epoch: [9][2320/10010] Time 0.325 (0.334) Data 0.000 (0.002) Loss 2.6478 (2.7328) Prec@1 38.281 (41.154) Prec@5 66.406 (66.545) Epoch: [9][2330/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 2.8654 (2.7328) Prec@1 42.188 (41.153) Prec@5 64.062 (66.549) Epoch: [9][2340/10010] Time 0.323 (0.334) Data 0.001 (0.002) Loss 2.8572 (2.7330) Prec@1 40.625 (41.153) Prec@5 57.812 (66.541) Epoch: [9][2350/10010] Time 0.334 (0.334) Data 0.001 (0.002) Loss 2.7956 (2.7332) Prec@1 40.625 (41.162) Prec@5 61.719 (66.538) Epoch: [9][2360/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.6218 (2.7331) Prec@1 41.406 (41.158) Prec@5 62.500 (66.540) Epoch: [9][2370/10010] Time 0.342 (0.334) Data 0.001 (0.002) Loss 2.6525 (2.7332) Prec@1 44.531 (41.156) Prec@5 68.750 (66.541) Epoch: [9][2380/10010] Time 0.346 (0.334) Data 0.001 (0.002) Loss 2.9518 (2.7335) Prec@1 29.688 (41.142) Prec@5 61.719 (66.537) Epoch: [9][2390/10010] Time 0.323 (0.334) Data 0.001 (0.002) Loss 2.6461 (2.7333) Prec@1 42.188 (41.142) Prec@5 68.750 (66.541) Epoch: [9][2400/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.7297 (2.7336) Prec@1 41.406 (41.137) Prec@5 63.281 (66.533) Epoch: [9][2410/10010] Time 0.325 (0.334) Data 0.000 (0.002) Loss 2.6539 (2.7331) Prec@1 41.406 (41.142) Prec@5 69.531 (66.540) Epoch: [9][2420/10010] Time 0.343 (0.334) Data 0.001 (0.002) Loss 2.6415 (2.7329) Prec@1 42.188 (41.146) Prec@5 67.969 (66.542) Epoch: [9][2430/10010] Time 0.343 (0.334) Data 0.001 (0.002) Loss 2.6809 (2.7325) Prec@1 39.844 (41.159) Prec@5 65.625 (66.547) Epoch: [9][2440/10010] Time 0.334 (0.334) Data 0.001 (0.002) Loss 2.6364 (2.7322) Prec@1 45.312 (41.163) Prec@5 70.312 (66.551) Epoch: [9][2450/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.6074 (2.7322) Prec@1 42.969 (41.166) Prec@5 69.531 (66.550) Epoch: [9][2460/10010] Time 0.342 (0.334) Data 0.001 (0.002) Loss 2.6041 (2.7319) Prec@1 43.750 (41.173) Prec@5 67.188 (66.559) Epoch: [9][2470/10010] Time 0.346 (0.334) Data 0.001 (0.002) Loss 2.6031 (2.7320) Prec@1 46.094 (41.180) Prec@5 67.188 (66.553) Epoch: [9][2480/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 2.7641 (2.7322) Prec@1 40.625 (41.178) Prec@5 64.062 (66.551) Epoch: [9][2490/10010] Time 0.328 (0.334) Data 0.000 (0.002) Loss 2.4374 (2.7317) Prec@1 43.750 (41.190) Prec@5 72.656 (66.556) Epoch: [9][2500/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 2.6925 (2.7316) Prec@1 42.969 (41.193) Prec@5 67.188 (66.556) Epoch: [9][2510/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.7769 (2.7317) Prec@1 43.750 (41.196) Prec@5 65.625 (66.557) Epoch: [9][2520/10010] Time 0.350 (0.334) Data 0.000 (0.002) Loss 2.5761 (2.7314) Prec@1 39.844 (41.199) Prec@5 70.312 (66.563) Epoch: [9][2530/10010] Time 0.344 (0.334) Data 0.001 (0.002) Loss 2.8005 (2.7312) Prec@1 40.625 (41.207) Prec@5 63.281 (66.558) Epoch: [9][2540/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 2.4406 (2.7311) Prec@1 48.438 (41.209) Prec@5 70.312 (66.560) Epoch: [9][2550/10010] Time 0.332 (0.334) Data 0.001 (0.002) Loss 2.4461 (2.7306) Prec@1 49.219 (41.221) Prec@5 66.406 (66.568) Epoch: [9][2560/10010] Time 0.330 (0.334) Data 0.001 (0.002) Loss 2.4790 (2.7305) Prec@1 48.438 (41.230) Prec@5 68.750 (66.577) Epoch: [9][2570/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 2.8394 (2.7305) Prec@1 40.625 (41.225) Prec@5 67.188 (66.575) Epoch: [9][2580/10010] Time 0.346 (0.334) Data 0.000 (0.002) Loss 2.9439 (2.7309) Prec@1 39.062 (41.208) Prec@5 67.188 (66.568) Epoch: [9][2590/10010] Time 0.333 (0.334) Data 0.001 (0.002) Loss 2.7231 (2.7308) Prec@1 39.062 (41.206) Prec@5 63.281 (66.567) Epoch: [9][2600/10010] Time 0.324 (0.334) Data 0.001 (0.002) Loss 2.9354 (2.7309) Prec@1 37.500 (41.204) Prec@5 61.719 (66.565) Epoch: [9][2610/10010] Time 0.340 (0.334) Data 0.001 (0.002) Loss 2.6901 (2.7305) Prec@1 39.844 (41.209) Prec@5 66.406 (66.574) Epoch: [9][2620/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 2.9755 (2.7305) Prec@1 38.281 (41.216) Prec@5 63.281 (66.579) Epoch: [9][2630/10010] Time 0.331 (0.334) Data 0.000 (0.002) Loss 2.9764 (2.7305) Prec@1 32.031 (41.209) Prec@5 67.188 (66.580) Epoch: [9][2640/10010] Time 0.342 (0.334) Data 0.001 (0.002) Loss 2.5910 (2.7303) Prec@1 42.969 (41.215) Prec@5 67.188 (66.587) Epoch: [9][2650/10010] Time 0.323 (0.334) Data 0.000 (0.002) Loss 2.5650 (2.7305) Prec@1 40.625 (41.211) Prec@5 69.531 (66.586) Epoch: [9][2660/10010] Time 0.324 (0.334) Data 0.000 (0.002) Loss 2.9034 (2.7305) Prec@1 42.188 (41.212) Prec@5 66.406 (66.587) Epoch: [9][2670/10010] Time 0.340 (0.334) Data 0.000 (0.002) Loss 2.8654 (2.7305) Prec@1 33.594 (41.207) Prec@5 65.625 (66.589) Epoch: [9][2680/10010] Time 0.319 (0.334) Data 0.001 (0.002) Loss 2.5565 (2.7305) Prec@1 44.531 (41.212) Prec@5 71.094 (66.586) Epoch: [9][2690/10010] Time 0.332 (0.334) Data 0.000 (0.002) Loss 2.6354 (2.7303) Prec@1 44.531 (41.216) Prec@5 71.094 (66.591) Epoch: [9][2700/10010] Time 0.341 (0.334) Data 0.001 (0.002) Loss 2.8656 (2.7304) Prec@1 39.062 (41.210) Prec@5 60.156 (66.585) Epoch: [9][2710/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.7581 (2.7302) Prec@1 43.750 (41.213) Prec@5 66.406 (66.590) Epoch: [9][2720/10010] Time 0.343 (0.334) Data 0.001 (0.002) Loss 2.8206 (2.7308) Prec@1 42.969 (41.204) Prec@5 62.500 (66.579) Epoch: [9][2730/10010] Time 0.325 (0.334) Data 0.000 (0.002) Loss 2.9930 (2.7309) Prec@1 41.406 (41.198) Prec@5 59.375 (66.573) Epoch: [9][2740/10010] Time 0.340 (0.334) Data 0.001 (0.002) Loss 3.0030 (2.7311) Prec@1 32.031 (41.196) Prec@5 61.719 (66.570) Epoch: [9][2750/10010] Time 0.345 (0.334) Data 0.001 (0.002) Loss 2.4247 (2.7307) Prec@1 48.438 (41.192) Prec@5 69.531 (66.574) Epoch: [9][2760/10010] Time 0.344 (0.334) Data 0.000 (0.002) Loss 3.1326 (2.7313) Prec@1 36.719 (41.178) Prec@5 57.812 (66.564) Epoch: [9][2770/10010] Time 0.340 (0.334) Data 0.001 (0.002) Loss 2.5797 (2.7316) Prec@1 42.188 (41.173) Prec@5 69.531 (66.565) Epoch: [9][2780/10010] Time 0.322 (0.334) Data 0.001 (0.001) Loss 2.7414 (2.7315) Prec@1 42.188 (41.171) Prec@5 65.625 (66.567) Epoch: [9][2790/10010] Time 0.347 (0.334) Data 0.000 (0.001) Loss 2.4217 (2.7311) Prec@1 51.562 (41.176) Prec@5 75.781 (66.573) Epoch: [9][2800/10010] Time 0.326 (0.334) Data 0.000 (0.001) Loss 2.8878 (2.7310) Prec@1 34.375 (41.174) Prec@5 67.969 (66.579) Epoch: [9][2810/10010] Time 0.343 (0.334) Data 0.001 (0.001) Loss 2.3099 (2.7309) Prec@1 46.094 (41.178) Prec@5 75.781 (66.581) Epoch: [9][2820/10010] Time 0.338 (0.334) Data 0.001 (0.001) Loss 2.1618 (2.7308) Prec@1 53.906 (41.186) Prec@5 71.875 (66.579) Epoch: [9][2830/10010] Time 0.326 (0.334) Data 0.000 (0.001) Loss 2.5814 (2.7310) Prec@1 46.875 (41.180) Prec@5 69.531 (66.574) Epoch: [9][2840/10010] Time 0.323 (0.334) Data 0.000 (0.001) Loss 2.9364 (2.7312) Prec@1 39.062 (41.182) Prec@5 57.812 (66.567) Epoch: [9][2850/10010] Time 0.344 (0.334) Data 0.000 (0.001) Loss 2.7159 (2.7314) Prec@1 45.312 (41.184) Prec@5 67.188 (66.563) Epoch: [9][2860/10010] Time 0.325 (0.334) Data 0.000 (0.001) Loss 2.5778 (2.7314) Prec@1 44.531 (41.191) Prec@5 67.969 (66.562) Epoch: [9][2870/10010] Time 0.333 (0.334) Data 0.001 (0.001) Loss 2.5942 (2.7313) Prec@1 35.156 (41.191) Prec@5 70.312 (66.564) Epoch: [9][2880/10010] Time 0.344 (0.334) Data 0.001 (0.001) Loss 2.6952 (2.7311) Prec@1 35.938 (41.190) Prec@5 63.281 (66.565) Epoch: [9][2890/10010] Time 0.337 (0.334) Data 0.000 (0.001) Loss 2.7536 (2.7315) Prec@1 42.969 (41.184) Prec@5 67.188 (66.558) Epoch: [9][2900/10010] Time 0.328 (0.334) Data 0.001 (0.001) Loss 2.5534 (2.7317) Prec@1 43.750 (41.178) Prec@5 71.094 (66.557) Epoch: [9][2910/10010] Time 0.322 (0.334) Data 0.000 (0.001) Loss 2.6259 (2.7315) Prec@1 42.188 (41.183) Prec@5 71.094 (66.563) Epoch: [9][2920/10010] Time 0.326 (0.334) Data 0.000 (0.001) Loss 2.7617 (2.7317) Prec@1 37.500 (41.177) Prec@5 65.625 (66.558) Epoch: [9][2930/10010] Time 0.348 (0.334) Data 0.001 (0.001) Loss 2.9193 (2.7322) Prec@1 34.375 (41.166) Prec@5 60.938 (66.550) Epoch: [9][2940/10010] Time 0.326 (0.334) Data 0.001 (0.001) Loss 3.1227 (2.7324) Prec@1 35.938 (41.156) Prec@5 60.156 (66.544) Epoch: [9][2950/10010] Time 0.329 (0.334) Data 0.001 (0.001) Loss 2.9287 (2.7325) Prec@1 35.938 (41.151) Prec@5 59.375 (66.538) Epoch: [9][2960/10010] Time 0.329 (0.334) Data 0.000 (0.001) Loss 2.9040 (2.7324) Prec@1 39.844 (41.152) Prec@5 64.844 (66.539) Epoch: [9][2970/10010] Time 0.341 (0.334) Data 0.001 (0.001) Loss 2.8750 (2.7325) Prec@1 40.625 (41.150) Prec@5 64.844 (66.539) Epoch: [9][2980/10010] Time 0.339 (0.334) Data 0.001 (0.001) Loss 3.0695 (2.7326) Prec@1 36.719 (41.148) Prec@5 60.938 (66.538) Epoch: [9][2990/10010] Time 0.329 (0.334) Data 0.001 (0.001) Loss 2.7693 (2.7325) Prec@1 39.844 (41.149) Prec@5 65.625 (66.539) Epoch: [9][3000/10010] Time 0.339 (0.334) Data 0.000 (0.001) Loss 2.7132 (2.7327) Prec@1 41.406 (41.143) Prec@5 67.969 (66.535) Epoch: [9][3010/10010] Time 0.325 (0.334) Data 0.001 (0.001) Loss 3.0636 (2.7330) Prec@1 34.375 (41.140) Prec@5 59.375 (66.529) Epoch: [9][3020/10010] Time 0.324 (0.334) Data 0.001 (0.001) Loss 2.6202 (2.7330) Prec@1 42.188 (41.138) Prec@5 70.312 (66.529) Epoch: [9][3030/10010] Time 0.330 (0.334) Data 0.001 (0.001) Loss 2.5690 (2.7331) Prec@1 40.625 (41.142) Prec@5 66.406 (66.529) Epoch: [9][3040/10010] Time 0.352 (0.334) Data 0.000 (0.001) Loss 2.9966 (2.7334) Prec@1 38.281 (41.130) Prec@5 65.625 (66.527) Epoch: [9][3050/10010] Time 0.342 (0.334) Data 0.001 (0.001) Loss 2.6008 (2.7337) Prec@1 41.406 (41.127) Prec@5 64.062 (66.515) Epoch: [9][3060/10010] Time 0.343 (0.334) Data 0.001 (0.001) Loss 2.9330 (2.7339) Prec@1 42.969 (41.127) Prec@5 65.625 (66.512) Epoch: [9][3070/10010] Time 0.314 (0.334) Data 0.001 (0.001) Loss 2.7436 (2.7339) Prec@1 36.719 (41.127) Prec@5 63.281 (66.512) Epoch: [9][3080/10010] Time 0.330 (0.334) Data 0.000 (0.001) Loss 2.6173 (2.7341) Prec@1 36.719 (41.124) Prec@5 71.875 (66.509) Epoch: [9][3090/10010] Time 0.337 (0.334) Data 0.000 (0.001) Loss 2.8742 (2.7343) Prec@1 41.406 (41.122) Prec@5 67.188 (66.507) Epoch: [9][3100/10010] Time 0.325 (0.334) Data 0.001 (0.001) Loss 2.6080 (2.7342) Prec@1 43.750 (41.124) Prec@5 66.406 (66.506) Epoch: [9][3110/10010] Time 0.336 (0.334) Data 0.001 (0.001) Loss 2.6484 (2.7339) Prec@1 39.844 (41.125) Prec@5 67.969 (66.511) Epoch: [9][3120/10010] Time 0.335 (0.334) Data 0.000 (0.001) Loss 2.5408 (2.7336) Prec@1 44.531 (41.132) Prec@5 67.188 (66.513) Epoch: [9][3130/10010] Time 0.316 (0.334) Data 0.001 (0.001) Loss 2.8403 (2.7336) Prec@1 38.281 (41.130) Prec@5 64.062 (66.508) Epoch: [9][3140/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.9366 (2.7338) Prec@1 40.625 (41.132) Prec@5 64.062 (66.507) Epoch: [9][3150/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.4409 (2.7337) Prec@1 50.000 (41.135) Prec@5 70.312 (66.510) Epoch: [9][3160/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.8974 (2.7337) Prec@1 36.719 (41.137) Prec@5 65.625 (66.509) Epoch: [9][3170/10010] Time 0.326 (0.334) Data 0.000 (0.001) Loss 2.3589 (2.7336) Prec@1 47.656 (41.141) Prec@5 69.531 (66.507) Epoch: [9][3180/10010] Time 0.334 (0.334) Data 0.001 (0.001) Loss 2.8940 (2.7337) Prec@1 35.938 (41.139) Prec@5 63.281 (66.502) Epoch: [9][3190/10010] Time 0.327 (0.334) Data 0.001 (0.001) Loss 2.7083 (2.7337) Prec@1 42.188 (41.141) Prec@5 70.312 (66.500) Epoch: [9][3200/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 3.0530 (2.7337) Prec@1 31.250 (41.141) Prec@5 58.594 (66.499) Epoch: [9][3210/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.9885 (2.7334) Prec@1 37.500 (41.144) Prec@5 64.062 (66.501) Epoch: [9][3220/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 2.8724 (2.7333) Prec@1 39.062 (41.144) Prec@5 65.625 (66.505) Epoch: [9][3230/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.6107 (2.7329) Prec@1 45.312 (41.152) Prec@5 71.875 (66.512) Epoch: [9][3240/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.5792 (2.7330) Prec@1 45.312 (41.152) Prec@5 67.188 (66.507) Epoch: [9][3250/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6973 (2.7328) Prec@1 39.062 (41.157) Prec@5 70.312 (66.514) Epoch: [9][3260/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.5045 (2.7328) Prec@1 46.875 (41.153) Prec@5 70.312 (66.510) Epoch: [9][3270/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.7578 (2.7327) Prec@1 41.406 (41.155) Prec@5 66.406 (66.513) Epoch: [9][3280/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.8260 (2.7323) Prec@1 37.500 (41.162) Prec@5 62.500 (66.517) Epoch: [9][3290/10010] Time 0.351 (0.333) Data 0.000 (0.001) Loss 2.9737 (2.7320) Prec@1 36.719 (41.166) Prec@5 62.500 (66.524) Epoch: [9][3300/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.6413 (2.7319) Prec@1 45.312 (41.166) Prec@5 71.875 (66.531) Epoch: [9][3310/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7228 (2.7317) Prec@1 40.625 (41.172) Prec@5 72.656 (66.533) Epoch: [9][3320/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.6972 (2.7316) Prec@1 46.875 (41.171) Prec@5 67.969 (66.536) Epoch: [9][3330/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.3626 (2.7313) Prec@1 47.656 (41.173) Prec@5 69.531 (66.542) Epoch: [9][3340/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.7871 (2.7313) Prec@1 40.625 (41.170) Prec@5 67.969 (66.544) Epoch: [9][3350/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.5260 (2.7310) Prec@1 49.219 (41.173) Prec@5 67.969 (66.546) Epoch: [9][3360/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.6924 (2.7313) Prec@1 41.406 (41.169) Prec@5 63.281 (66.539) Epoch: [9][3370/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6031 (2.7312) Prec@1 48.438 (41.175) Prec@5 69.531 (66.541) Epoch: [9][3380/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.7331 (2.7312) Prec@1 38.281 (41.174) Prec@5 63.281 (66.543) Epoch: [9][3390/10010] Time 0.350 (0.333) Data 0.001 (0.001) Loss 2.5904 (2.7312) Prec@1 47.656 (41.171) Prec@5 71.094 (66.544) Epoch: [9][3400/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.8189 (2.7311) Prec@1 41.406 (41.173) Prec@5 66.406 (66.544) Epoch: [9][3410/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.7454 (2.7308) Prec@1 42.188 (41.175) Prec@5 59.375 (66.545) Epoch: [9][3420/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.9495 (2.7310) Prec@1 44.531 (41.175) Prec@5 65.625 (66.541) Epoch: [9][3430/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.8459 (2.7314) Prec@1 40.625 (41.173) Prec@5 63.281 (66.537) Epoch: [9][3440/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.5397 (2.7317) Prec@1 46.875 (41.171) Prec@5 69.531 (66.535) Epoch: [9][3450/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.9783 (2.7320) Prec@1 33.594 (41.171) Prec@5 64.062 (66.531) Epoch: [9][3460/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7872 (2.7321) Prec@1 39.062 (41.165) Prec@5 65.625 (66.532) Epoch: [9][3470/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 3.0159 (2.7319) Prec@1 36.719 (41.171) Prec@5 61.719 (66.534) Epoch: [9][3480/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.5563 (2.7319) Prec@1 45.312 (41.170) Prec@5 70.312 (66.537) Epoch: [9][3490/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.6773 (2.7321) Prec@1 41.406 (41.172) Prec@5 67.188 (66.535) Epoch: [9][3500/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.9267 (2.7318) Prec@1 35.938 (41.172) Prec@5 61.719 (66.539) Epoch: [9][3510/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.8288 (2.7317) Prec@1 42.188 (41.180) Prec@5 64.062 (66.542) Epoch: [9][3520/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.6915 (2.7314) Prec@1 41.406 (41.179) Prec@5 69.531 (66.549) Epoch: [9][3530/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.4681 (2.7314) Prec@1 41.406 (41.182) Prec@5 71.094 (66.547) Epoch: [9][3540/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.7563 (2.7314) Prec@1 32.031 (41.183) Prec@5 67.969 (66.546) Epoch: [9][3550/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.8873 (2.7316) Prec@1 40.625 (41.180) Prec@5 61.719 (66.542) Epoch: [9][3560/10010] Time 0.316 (0.333) Data 0.000 (0.001) Loss 3.1445 (2.7316) Prec@1 32.031 (41.179) Prec@5 57.031 (66.544) Epoch: [9][3570/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.8219 (2.7319) Prec@1 39.062 (41.176) Prec@5 65.625 (66.538) Epoch: [9][3580/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.8222 (2.7319) Prec@1 39.844 (41.174) Prec@5 64.062 (66.540) Epoch: [9][3590/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 3.0963 (2.7322) Prec@1 27.344 (41.171) Prec@5 58.594 (66.532) Epoch: [9][3600/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.5359 (2.7320) Prec@1 42.188 (41.176) Prec@5 71.875 (66.536) Epoch: [9][3610/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 3.0007 (2.7322) Prec@1 42.188 (41.175) Prec@5 60.938 (66.534) Epoch: [9][3620/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.6311 (2.7321) Prec@1 41.406 (41.179) Prec@5 71.875 (66.537) Epoch: [9][3630/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.8718 (2.7322) Prec@1 39.062 (41.178) Prec@5 60.156 (66.533) Epoch: [9][3640/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.5216 (2.7321) Prec@1 45.312 (41.180) Prec@5 69.531 (66.532) Epoch: [9][3650/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 3.1529 (2.7322) Prec@1 38.281 (41.179) Prec@5 58.594 (66.527) Epoch: [9][3660/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.8504 (2.7323) Prec@1 42.969 (41.179) Prec@5 66.406 (66.526) Epoch: [9][3670/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.8481 (2.7325) Prec@1 35.938 (41.174) Prec@5 67.188 (66.526) Epoch: [9][3680/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.6342 (2.7324) Prec@1 41.406 (41.178) Prec@5 67.188 (66.529) Epoch: [9][3690/10010] Time 0.349 (0.333) Data 0.000 (0.001) Loss 2.6601 (2.7326) Prec@1 45.312 (41.174) Prec@5 67.969 (66.527) Epoch: [9][3700/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.9456 (2.7328) Prec@1 40.625 (41.170) Prec@5 64.844 (66.524) Epoch: [9][3710/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.8008 (2.7328) Prec@1 41.406 (41.170) Prec@5 65.625 (66.522) Epoch: [9][3720/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 3.0831 (2.7330) Prec@1 37.500 (41.172) Prec@5 59.375 (66.519) Epoch: [9][3730/10010] Time 0.348 (0.333) Data 0.000 (0.001) Loss 3.0215 (2.7332) Prec@1 41.406 (41.172) Prec@5 64.844 (66.516) Epoch: [9][3740/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.5139 (2.7331) Prec@1 43.750 (41.173) Prec@5 72.656 (66.524) Epoch: [9][3750/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 3.2066 (2.7333) Prec@1 32.812 (41.173) Prec@5 61.719 (66.518) Epoch: [9][3760/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.6568 (2.7334) Prec@1 42.188 (41.170) Prec@5 68.750 (66.519) Epoch: [9][3770/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.7770 (2.7333) Prec@1 42.188 (41.166) Prec@5 61.719 (66.522) Epoch: [9][3780/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.7088 (2.7333) Prec@1 44.531 (41.169) Prec@5 64.844 (66.524) Epoch: [9][3790/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.5739 (2.7333) Prec@1 41.406 (41.166) Prec@5 70.312 (66.524) Epoch: [9][3800/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.6636 (2.7333) Prec@1 42.969 (41.167) Prec@5 69.531 (66.523) Epoch: [9][3810/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.9615 (2.7334) Prec@1 39.062 (41.169) Prec@5 60.938 (66.521) Epoch: [9][3820/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.5725 (2.7333) Prec@1 49.219 (41.171) Prec@5 64.844 (66.519) Epoch: [9][3830/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.5142 (2.7335) Prec@1 48.438 (41.174) Prec@5 72.656 (66.516) Epoch: [9][3840/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.6005 (2.7331) Prec@1 44.531 (41.177) Prec@5 69.531 (66.522) Epoch: [9][3850/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.4410 (2.7331) Prec@1 48.438 (41.179) Prec@5 71.875 (66.525) Epoch: [9][3860/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 3.0201 (2.7330) Prec@1 35.156 (41.182) Prec@5 59.375 (66.524) Epoch: [9][3870/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.5720 (2.7329) Prec@1 52.344 (41.187) Prec@5 69.531 (66.528) Epoch: [9][3880/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.4835 (2.7329) Prec@1 44.531 (41.187) Prec@5 68.750 (66.526) Epoch: [9][3890/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.4951 (2.7332) Prec@1 42.969 (41.182) Prec@5 67.969 (66.521) Epoch: [9][3900/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.7809 (2.7334) Prec@1 36.719 (41.178) Prec@5 67.188 (66.519) Epoch: [9][3910/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.6095 (2.7336) Prec@1 47.656 (41.173) Prec@5 67.188 (66.512) Epoch: [9][3920/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.7384 (2.7336) Prec@1 42.969 (41.176) Prec@5 67.969 (66.511) Epoch: [9][3930/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.3808 (2.7332) Prec@1 44.531 (41.182) Prec@5 71.875 (66.519) Epoch: [9][3940/10010] Time 0.312 (0.333) Data 0.001 (0.001) Loss 3.2197 (2.7333) Prec@1 38.281 (41.183) Prec@5 59.375 (66.516) Epoch: [9][3950/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 3.0105 (2.7335) Prec@1 39.062 (41.185) Prec@5 64.844 (66.516) Epoch: [9][3960/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.7980 (2.7336) Prec@1 36.719 (41.182) Prec@5 66.406 (66.517) Epoch: [9][3970/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 3.0421 (2.7335) Prec@1 30.469 (41.182) Prec@5 59.375 (66.516) Epoch: [9][3980/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.7358 (2.7335) Prec@1 41.406 (41.188) Prec@5 65.625 (66.514) Epoch: [9][3990/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.5054 (2.7333) Prec@1 40.625 (41.187) Prec@5 67.969 (66.512) Epoch: [9][4000/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.6565 (2.7333) Prec@1 41.406 (41.184) Prec@5 64.844 (66.513) Epoch: [9][4010/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.4951 (2.7332) Prec@1 39.844 (41.186) Prec@5 67.969 (66.518) Epoch: [9][4020/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.7692 (2.7331) Prec@1 42.188 (41.186) Prec@5 67.188 (66.520) Epoch: [9][4030/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.5623 (2.7333) Prec@1 42.188 (41.183) Prec@5 74.219 (66.519) Epoch: [9][4040/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.7220 (2.7332) Prec@1 41.406 (41.181) Prec@5 67.969 (66.521) Epoch: [9][4050/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.7625 (2.7332) Prec@1 40.625 (41.183) Prec@5 67.188 (66.525) Epoch: [9][4060/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.6341 (2.7330) Prec@1 39.844 (41.183) Prec@5 67.969 (66.525) Epoch: [9][4070/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6858 (2.7329) Prec@1 43.750 (41.189) Prec@5 64.062 (66.527) Epoch: [9][4080/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7158 (2.7329) Prec@1 43.750 (41.188) Prec@5 70.312 (66.528) Epoch: [9][4090/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.7847 (2.7330) Prec@1 35.938 (41.183) Prec@5 64.844 (66.525) Epoch: [9][4100/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.5238 (2.7332) Prec@1 40.625 (41.178) Prec@5 71.875 (66.520) Epoch: [9][4110/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.9418 (2.7331) Prec@1 41.406 (41.180) Prec@5 61.719 (66.523) Epoch: [9][4120/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.9427 (2.7333) Prec@1 39.844 (41.177) Prec@5 63.281 (66.522) Epoch: [9][4130/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.6039 (2.7333) Prec@1 48.438 (41.179) Prec@5 64.844 (66.520) Epoch: [9][4140/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.4770 (2.7333) Prec@1 46.875 (41.181) Prec@5 68.750 (66.522) Epoch: [9][4150/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.8768 (2.7334) Prec@1 39.062 (41.179) Prec@5 64.844 (66.523) Epoch: [9][4160/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.7360 (2.7336) Prec@1 40.625 (41.175) Prec@5 64.062 (66.519) Epoch: [9][4170/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.7103 (2.7337) Prec@1 39.062 (41.176) Prec@5 68.750 (66.517) Epoch: [9][4180/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.8999 (2.7338) Prec@1 44.531 (41.177) Prec@5 63.281 (66.516) Epoch: [9][4190/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.5488 (2.7337) Prec@1 47.656 (41.178) Prec@5 73.438 (66.521) Epoch: [9][4200/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.9426 (2.7336) Prec@1 39.062 (41.179) Prec@5 63.281 (66.522) Epoch: [9][4210/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 3.0479 (2.7336) Prec@1 35.156 (41.178) Prec@5 57.812 (66.520) Epoch: [9][4220/10010] Time 0.350 (0.333) Data 0.001 (0.001) Loss 2.8832 (2.7337) Prec@1 37.500 (41.175) Prec@5 61.719 (66.520) /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: [9][4230/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7774 (2.7337) Prec@1 42.969 (41.176) Prec@5 67.969 (66.521) Epoch: [9][4240/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.7147 (2.7338) Prec@1 42.188 (41.176) Prec@5 67.969 (66.516) Epoch: [9][4250/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.4653 (2.7336) Prec@1 40.625 (41.183) Prec@5 65.625 (66.520) Epoch: [9][4260/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.9548 (2.7335) Prec@1 36.719 (41.181) Prec@5 60.938 (66.519) Epoch: [9][4270/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.4661 (2.7335) Prec@1 45.312 (41.181) Prec@5 71.875 (66.520) Epoch: [9][4280/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.7680 (2.7339) Prec@1 42.969 (41.177) Prec@5 64.844 (66.512) Epoch: [9][4290/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.8238 (2.7339) Prec@1 40.625 (41.183) Prec@5 64.844 (66.510) Epoch: [9][4300/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.7775 (2.7338) Prec@1 37.500 (41.182) Prec@5 64.844 (66.512) Epoch: [9][4310/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.7900 (2.7340) Prec@1 39.844 (41.175) Prec@5 67.969 (66.508) Epoch: [9][4320/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.8920 (2.7338) Prec@1 36.719 (41.177) Prec@5 64.062 (66.513) Epoch: [9][4330/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.8826 (2.7337) Prec@1 38.281 (41.177) Prec@5 64.062 (66.515) Epoch: [9][4340/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 3.3157 (2.7339) Prec@1 32.812 (41.175) Prec@5 60.156 (66.508) Epoch: [9][4350/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.9390 (2.7337) Prec@1 35.938 (41.186) Prec@5 63.281 (66.514) Epoch: [9][4360/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.7996 (2.7339) Prec@1 41.406 (41.186) Prec@5 67.969 (66.512) Epoch: [9][4370/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.6559 (2.7339) Prec@1 39.844 (41.182) Prec@5 71.094 (66.511) Epoch: [9][4380/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.6888 (2.7339) Prec@1 38.281 (41.182) Prec@5 65.625 (66.512) Epoch: [9][4390/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.4371 (2.7340) Prec@1 50.000 (41.183) Prec@5 76.562 (66.513) Epoch: [9][4400/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.4880 (2.7340) Prec@1 40.625 (41.178) Prec@5 73.438 (66.514) Epoch: [9][4410/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.9956 (2.7343) Prec@1 41.406 (41.176) Prec@5 61.719 (66.505) Epoch: [9][4420/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.7777 (2.7345) Prec@1 41.406 (41.175) Prec@5 65.625 (66.506) /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: [9][4430/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 2.9478 (2.7346) Prec@1 32.812 (41.171) Prec@5 64.062 (66.503) Epoch: [9][4440/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7771 (2.7350) Prec@1 40.625 (41.168) Prec@5 58.594 (66.496) Epoch: [9][4450/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.6835 (2.7351) Prec@1 42.188 (41.165) Prec@5 71.875 (66.495) Epoch: [9][4460/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.6419 (2.7349) Prec@1 38.281 (41.168) Prec@5 66.406 (66.494) Epoch: [9][4470/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.8844 (2.7350) Prec@1 39.844 (41.165) Prec@5 67.188 (66.490) Epoch: [9][4480/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.5318 (2.7350) Prec@1 44.531 (41.165) Prec@5 70.312 (66.490) Epoch: [9][4490/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.8155 (2.7351) Prec@1 46.094 (41.164) Prec@5 63.281 (66.489) Epoch: [9][4500/10010] Time 0.316 (0.333) Data 0.000 (0.001) Loss 2.6542 (2.7351) Prec@1 43.750 (41.164) Prec@5 64.062 (66.486) Epoch: [9][4510/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.7436 (2.7351) Prec@1 42.188 (41.165) Prec@5 66.406 (66.487) Epoch: [9][4520/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.7512 (2.7351) Prec@1 42.969 (41.164) Prec@5 66.406 (66.484) Epoch: [9][4530/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 3.0040 (2.7352) Prec@1 38.281 (41.164) Prec@5 67.969 (66.486) Epoch: [9][4540/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.8687 (2.7352) Prec@1 38.281 (41.164) Prec@5 58.594 (66.480) Epoch: [9][4550/10010] Time 0.348 (0.333) Data 0.001 (0.001) Loss 3.0423 (2.7355) Prec@1 34.375 (41.160) Prec@5 58.594 (66.477) Epoch: [9][4560/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.8860 (2.7354) Prec@1 39.844 (41.159) Prec@5 64.062 (66.479) Epoch: [9][4570/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.5393 (2.7355) Prec@1 48.438 (41.159) Prec@5 71.094 (66.479) Epoch: [9][4580/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 3.1005 (2.7357) Prec@1 38.281 (41.156) Prec@5 60.156 (66.478) Epoch: [9][4590/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.9896 (2.7357) Prec@1 42.969 (41.156) Prec@5 62.500 (66.479) Epoch: [9][4600/10010] Time 0.314 (0.333) Data 0.001 (0.001) Loss 2.7177 (2.7358) Prec@1 40.625 (41.155) Prec@5 65.625 (66.477) Epoch: [9][4610/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.6405 (2.7357) Prec@1 43.750 (41.157) Prec@5 66.406 (66.479) Epoch: [9][4620/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.6920 (2.7357) Prec@1 42.188 (41.155) Prec@5 67.969 (66.481) Epoch: [9][4630/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.4306 (2.7357) Prec@1 46.094 (41.157) Prec@5 76.562 (66.483) /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: [9][4640/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.8356 (2.7356) Prec@1 40.625 (41.157) Prec@5 64.844 (66.484) Epoch: [9][4650/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.6860 (2.7356) Prec@1 39.844 (41.156) Prec@5 67.188 (66.483) Epoch: [9][4660/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 3.0289 (2.7355) Prec@1 33.594 (41.160) Prec@5 64.844 (66.488) Epoch: [9][4670/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.9499 (2.7354) Prec@1 46.875 (41.162) Prec@5 64.062 (66.488) Epoch: [9][4680/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 3.0117 (2.7354) Prec@1 35.938 (41.161) Prec@5 56.250 (66.487) Epoch: [9][4690/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.4350 (2.7354) Prec@1 49.219 (41.158) Prec@5 71.875 (66.485) Epoch: [9][4700/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 3.0314 (2.7354) Prec@1 35.156 (41.160) Prec@5 60.156 (66.484) /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: [9][4710/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.6981 (2.7351) Prec@1 40.625 (41.168) Prec@5 64.844 (66.493) Epoch: [9][4720/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.6222 (2.7351) Prec@1 43.750 (41.172) Prec@5 67.969 (66.491) Epoch: [9][4730/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.5007 (2.7350) Prec@1 45.312 (41.173) Prec@5 69.531 (66.493) Epoch: [9][4740/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.9956 (2.7350) Prec@1 35.938 (41.169) Prec@5 60.938 (66.492) Epoch: [9][4750/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.4780 (2.7351) Prec@1 40.625 (41.165) Prec@5 71.094 (66.490) Epoch: [9][4760/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.7268 (2.7352) Prec@1 36.719 (41.163) Prec@5 67.188 (66.487) Epoch: [9][4770/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.8655 (2.7353) Prec@1 39.844 (41.160) Prec@5 60.156 (66.486) Epoch: [9][4780/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6154 (2.7356) Prec@1 44.531 (41.159) Prec@5 66.406 (66.481) Epoch: [9][4790/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.5436 (2.7354) Prec@1 37.500 (41.159) Prec@5 68.750 (66.481) Epoch: [9][4800/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 3.0118 (2.7353) Prec@1 33.594 (41.160) Prec@5 61.719 (66.482) Epoch: [9][4810/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.7516 (2.7354) Prec@1 44.531 (41.164) Prec@5 67.969 (66.482) Epoch: [9][4820/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.8903 (2.7355) Prec@1 37.500 (41.164) Prec@5 59.375 (66.478) Epoch: [9][4830/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.7893 (2.7354) Prec@1 39.844 (41.162) Prec@5 66.406 (66.477) Epoch: [9][4840/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 3.1704 (2.7354) Prec@1 32.812 (41.166) Prec@5 57.031 (66.476) Epoch: [9][4850/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.6790 (2.7353) Prec@1 39.844 (41.169) Prec@5 67.969 (66.476) Epoch: [9][4860/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.5094 (2.7352) Prec@1 43.750 (41.171) Prec@5 70.312 (66.476) Epoch: [9][4870/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.5227 (2.7351) Prec@1 46.875 (41.172) Prec@5 67.969 (66.476) Epoch: [9][4880/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.6906 (2.7351) Prec@1 40.625 (41.173) Prec@5 71.094 (66.477) Epoch: [9][4890/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.9497 (2.7354) Prec@1 39.844 (41.168) Prec@5 63.281 (66.473) Epoch: [9][4900/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.8193 (2.7355) Prec@1 33.594 (41.167) Prec@5 60.156 (66.469) Epoch: [9][4910/10010] Time 0.331 (0.333) Data 0.002 (0.001) Loss 2.4779 (2.7354) Prec@1 47.656 (41.170) Prec@5 69.531 (66.474) Epoch: [9][4920/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.7006 (2.7354) Prec@1 42.188 (41.169) Prec@5 64.062 (66.473) Epoch: [9][4930/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.8041 (2.7353) Prec@1 41.406 (41.174) Prec@5 64.844 (66.473) Epoch: [9][4940/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.6176 (2.7353) Prec@1 39.844 (41.174) Prec@5 66.406 (66.473) Epoch: [9][4950/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.7913 (2.7353) Prec@1 39.844 (41.172) Prec@5 65.625 (66.470) Epoch: [9][4960/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.4985 (2.7352) Prec@1 46.875 (41.174) Prec@5 67.969 (66.471) Epoch: [9][4970/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.5198 (2.7352) Prec@1 44.531 (41.173) Prec@5 70.312 (66.472) Epoch: [9][4980/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.8332 (2.7350) Prec@1 38.281 (41.174) Prec@5 63.281 (66.472) Epoch: [9][4990/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.8304 (2.7351) Prec@1 42.188 (41.174) Prec@5 66.406 (66.471) Epoch: [9][5000/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.3836 (2.7351) Prec@1 50.000 (41.174) Prec@5 69.531 (66.469) Epoch: [9][5010/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7004 (2.7351) Prec@1 42.969 (41.174) Prec@5 62.500 (66.469) Epoch: [9][5020/10010] Time 0.313 (0.333) Data 0.001 (0.001) Loss 3.1820 (2.7353) Prec@1 35.156 (41.171) Prec@5 55.469 (66.464) Epoch: [9][5030/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.6912 (2.7355) Prec@1 43.750 (41.166) Prec@5 68.750 (66.460) Epoch: [9][5040/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.9995 (2.7356) Prec@1 35.938 (41.167) Prec@5 62.500 (66.458) Epoch: [9][5050/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.8331 (2.7360) Prec@1 38.281 (41.159) Prec@5 60.156 (66.450) Epoch: [9][5060/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.7249 (2.7358) Prec@1 38.281 (41.163) Prec@5 64.062 (66.455) Epoch: [9][5070/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.9214 (2.7359) Prec@1 35.938 (41.159) Prec@5 66.406 (66.457) Epoch: [9][5080/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.8159 (2.7360) Prec@1 32.031 (41.155) Prec@5 64.062 (66.453) Epoch: [9][5090/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.6252 (2.7361) Prec@1 46.094 (41.154) Prec@5 70.312 (66.452) Epoch: [9][5100/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.5415 (2.7362) Prec@1 43.750 (41.154) Prec@5 72.656 (66.453) Epoch: [9][5110/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.7158 (2.7361) Prec@1 39.844 (41.154) Prec@5 65.625 (66.451) Epoch: [9][5120/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.6881 (2.7360) Prec@1 41.406 (41.152) Prec@5 65.625 (66.451) Epoch: [9][5130/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.9153 (2.7361) Prec@1 38.281 (41.152) Prec@5 64.062 (66.448) Epoch: [9][5140/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.6893 (2.7362) Prec@1 37.500 (41.147) Prec@5 68.750 (66.445) Epoch: [9][5150/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.6917 (2.7362) Prec@1 42.969 (41.150) Prec@5 63.281 (66.441) Epoch: [9][5160/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.2386 (2.7360) Prec@1 50.781 (41.149) Prec@5 74.219 (66.443) Epoch: [9][5170/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.5283 (2.7362) Prec@1 45.312 (41.148) Prec@5 71.875 (66.443) Epoch: [9][5180/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.5766 (2.7360) Prec@1 42.188 (41.150) Prec@5 67.188 (66.447) Epoch: [9][5190/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.6856 (2.7361) Prec@1 45.312 (41.147) Prec@5 69.531 (66.447) Epoch: [9][5200/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.6216 (2.7358) Prec@1 43.750 (41.149) Prec@5 72.656 (66.453) Epoch: [9][5210/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 2.5616 (2.7357) Prec@1 39.062 (41.147) Prec@5 67.969 (66.455) Epoch: [9][5220/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 2.5938 (2.7357) Prec@1 44.531 (41.149) Prec@5 67.188 (66.456) Epoch: [9][5230/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.5263 (2.7356) Prec@1 46.094 (41.151) Prec@5 67.969 (66.455) Epoch: [9][5240/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7042 (2.7357) Prec@1 44.531 (41.148) Prec@5 68.750 (66.455) Epoch: [9][5250/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 3.0471 (2.7358) Prec@1 33.594 (41.146) Prec@5 59.375 (66.454) Epoch: [9][5260/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.7470 (2.7357) Prec@1 35.156 (41.147) Prec@5 64.844 (66.455) Epoch: [9][5270/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 3.0962 (2.7357) Prec@1 35.938 (41.149) Prec@5 57.031 (66.452) Epoch: [9][5280/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.5455 (2.7357) Prec@1 40.625 (41.150) Prec@5 73.438 (66.456) Epoch: [9][5290/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6883 (2.7356) Prec@1 45.312 (41.150) Prec@5 65.625 (66.459) Epoch: [9][5300/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 3.0592 (2.7358) Prec@1 33.594 (41.151) Prec@5 58.594 (66.458) Epoch: [9][5310/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.8547 (2.7357) Prec@1 46.094 (41.153) Prec@5 62.500 (66.461) Epoch: [9][5320/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.8357 (2.7358) Prec@1 41.406 (41.150) Prec@5 62.500 (66.458) Epoch: [9][5330/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.5386 (2.7358) Prec@1 45.312 (41.152) Prec@5 71.875 (66.460) Epoch: [9][5340/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.3872 (2.7358) Prec@1 47.656 (41.155) Prec@5 71.875 (66.456) Epoch: [9][5350/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.5661 (2.7359) Prec@1 42.969 (41.155) Prec@5 70.312 (66.456) Epoch: [9][5360/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.6135 (2.7359) Prec@1 44.531 (41.152) Prec@5 64.844 (66.456) Epoch: [9][5370/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.4855 (2.7359) Prec@1 42.969 (41.153) Prec@5 71.094 (66.457) Epoch: [9][5380/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.4212 (2.7361) Prec@1 44.531 (41.151) Prec@5 71.875 (66.453) Epoch: [9][5390/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 3.2753 (2.7363) Prec@1 30.469 (41.147) Prec@5 63.281 (66.451) Epoch: [9][5400/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 3.0120 (2.7363) Prec@1 39.062 (41.146) Prec@5 60.938 (66.451) Epoch: [9][5410/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.6709 (2.7362) Prec@1 46.875 (41.149) Prec@5 67.188 (66.452) Epoch: [9][5420/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.5923 (2.7362) Prec@1 40.625 (41.148) Prec@5 71.875 (66.453) Epoch: [9][5430/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.5409 (2.7363) Prec@1 43.750 (41.147) Prec@5 70.312 (66.452) Epoch: [9][5440/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7603 (2.7363) Prec@1 40.625 (41.144) Prec@5 64.062 (66.454) Epoch: [9][5450/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.8131 (2.7364) Prec@1 39.844 (41.142) Prec@5 64.062 (66.453) Epoch: [9][5460/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 3.1214 (2.7365) Prec@1 33.594 (41.140) Prec@5 58.594 (66.451) Epoch: [9][5470/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.9534 (2.7366) Prec@1 34.375 (41.139) Prec@5 60.156 (66.447) Epoch: [9][5480/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 3.0789 (2.7366) Prec@1 37.500 (41.139) Prec@5 67.188 (66.447) Epoch: [9][5490/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.5884 (2.7366) Prec@1 37.500 (41.136) Prec@5 67.188 (66.445) Epoch: [9][5500/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.5187 (2.7368) Prec@1 41.406 (41.130) Prec@5 70.312 (66.444) Epoch: [9][5510/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.8741 (2.7367) Prec@1 40.625 (41.128) Prec@5 64.844 (66.445) Epoch: [9][5520/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.6242 (2.7367) Prec@1 45.312 (41.130) Prec@5 65.625 (66.446) Epoch: [9][5530/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.9162 (2.7367) Prec@1 40.625 (41.131) Prec@5 62.500 (66.448) Epoch: [9][5540/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.6369 (2.7366) Prec@1 41.406 (41.133) Prec@5 70.312 (66.452) Epoch: [9][5550/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 3.0536 (2.7365) Prec@1 35.156 (41.136) Prec@5 61.719 (66.453) Epoch: [9][5560/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7398 (2.7364) Prec@1 39.062 (41.138) Prec@5 66.406 (66.453) Epoch: [9][5570/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.8549 (2.7367) Prec@1 40.625 (41.135) Prec@5 64.062 (66.448) Epoch: [9][5580/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.8973 (2.7368) Prec@1 42.188 (41.131) Prec@5 65.625 (66.447) Epoch: [9][5590/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.6341 (2.7368) Prec@1 40.625 (41.129) Prec@5 63.281 (66.447) Epoch: [9][5600/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.4720 (2.7368) Prec@1 45.312 (41.129) Prec@5 69.531 (66.446) Epoch: [9][5610/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 2.5464 (2.7367) Prec@1 45.312 (41.131) Prec@5 67.188 (66.449) Epoch: [9][5620/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6971 (2.7367) Prec@1 41.406 (41.127) Prec@5 64.844 (66.449) Epoch: [9][5630/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.3605 (2.7367) Prec@1 46.875 (41.127) Prec@5 75.781 (66.452) Epoch: [9][5640/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.4257 (2.7367) Prec@1 47.656 (41.124) Prec@5 72.656 (66.451) Epoch: [9][5650/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.6825 (2.7369) Prec@1 36.719 (41.119) Prec@5 66.406 (66.447) Epoch: [9][5660/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.5773 (2.7367) Prec@1 43.750 (41.123) Prec@5 69.531 (66.448) Epoch: [9][5670/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.7244 (2.7368) Prec@1 34.375 (41.122) Prec@5 67.969 (66.448) Epoch: [9][5680/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.7236 (2.7369) Prec@1 36.719 (41.120) Prec@5 64.062 (66.444) Epoch: [9][5690/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.6344 (2.7368) Prec@1 44.531 (41.121) Prec@5 68.750 (66.445) Epoch: [9][5700/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.4756 (2.7369) Prec@1 43.750 (41.119) Prec@5 74.219 (66.446) Epoch: [9][5710/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.6272 (2.7367) Prec@1 43.750 (41.123) Prec@5 63.281 (66.450) Epoch: [9][5720/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.6545 (2.7366) Prec@1 42.188 (41.124) Prec@5 71.875 (66.452) Epoch: [9][5730/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 3.1947 (2.7367) Prec@1 38.281 (41.123) Prec@5 62.500 (66.450) Epoch: [9][5740/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.8596 (2.7369) Prec@1 39.844 (41.121) Prec@5 61.719 (66.444) Epoch: [9][5750/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.4974 (2.7366) Prec@1 46.094 (41.124) Prec@5 70.312 (66.448) Epoch: [9][5760/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.7269 (2.7368) Prec@1 36.719 (41.121) Prec@5 65.625 (66.446) Epoch: [9][5770/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.7682 (2.7367) Prec@1 41.406 (41.121) Prec@5 64.844 (66.446) Epoch: [9][5780/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.5744 (2.7366) Prec@1 39.062 (41.125) Prec@5 71.094 (66.448) Epoch: [9][5790/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 3.2641 (2.7366) Prec@1 37.500 (41.125) Prec@5 59.375 (66.446) Epoch: [9][5800/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.5896 (2.7369) Prec@1 41.406 (41.122) Prec@5 67.969 (66.441) Epoch: [9][5810/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.6975 (2.7368) Prec@1 40.625 (41.124) Prec@5 65.625 (66.442) Epoch: [9][5820/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7207 (2.7367) Prec@1 37.500 (41.124) Prec@5 64.062 (66.443) Epoch: [9][5830/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8576 (2.7368) Prec@1 34.375 (41.124) Prec@5 60.938 (66.443) Epoch: [9][5840/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8852 (2.7368) Prec@1 35.938 (41.122) Prec@5 64.844 (66.444) Epoch: [9][5850/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7757 (2.7371) Prec@1 37.500 (41.118) Prec@5 67.969 (66.439) Epoch: [9][5860/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7285 (2.7372) Prec@1 39.844 (41.117) Prec@5 60.938 (66.435) Epoch: [9][5870/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9451 (2.7371) Prec@1 38.281 (41.116) Prec@5 67.188 (66.438) Epoch: [9][5880/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4383 (2.7370) Prec@1 43.750 (41.120) Prec@5 71.875 (66.440) Epoch: [9][5890/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6499 (2.7368) Prec@1 42.188 (41.121) Prec@5 67.969 (66.443) Epoch: [9][5900/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4003 (2.7369) Prec@1 48.438 (41.122) Prec@5 73.438 (66.442) Epoch: [9][5910/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.1240 (2.7369) Prec@1 35.156 (41.121) Prec@5 60.938 (66.443) Epoch: [9][5920/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6571 (2.7370) Prec@1 40.625 (41.118) Prec@5 71.875 (66.443) Epoch: [9][5930/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.6987 (2.7369) Prec@1 41.406 (41.115) Prec@5 64.062 (66.444) Epoch: [9][5940/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5121 (2.7369) Prec@1 44.531 (41.116) Prec@5 69.531 (66.445) Epoch: [9][5950/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5175 (2.7369) Prec@1 46.094 (41.116) Prec@5 67.969 (66.443) Epoch: [9][5960/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8277 (2.7368) Prec@1 40.625 (41.116) Prec@5 64.062 (66.443) Epoch: [9][5970/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7592 (2.7367) Prec@1 37.500 (41.117) Prec@5 65.625 (66.444) Epoch: [9][5980/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8001 (2.7369) Prec@1 34.375 (41.114) Prec@5 69.531 (66.439) Epoch: [9][5990/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.1215 (2.7368) Prec@1 52.344 (41.117) Prec@5 74.219 (66.440) Epoch: [9][6000/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6404 (2.7368) Prec@1 47.656 (41.120) Prec@5 70.312 (66.440) Epoch: [9][6010/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6611 (2.7369) Prec@1 47.656 (41.123) Prec@5 63.281 (66.439) Epoch: [9][6020/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5185 (2.7367) Prec@1 42.188 (41.128) Prec@5 71.094 (66.444) Epoch: [9][6030/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7927 (2.7367) Prec@1 42.969 (41.127) Prec@5 62.500 (66.444) Epoch: [9][6040/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8774 (2.7368) Prec@1 31.250 (41.124) Prec@5 69.531 (66.446) Epoch: [9][6050/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.3273 (2.7369) Prec@1 51.562 (41.121) Prec@5 71.875 (66.443) Epoch: [9][6060/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.3461 (2.7369) Prec@1 49.219 (41.122) Prec@5 72.656 (66.444) Epoch: [9][6070/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7892 (2.7368) Prec@1 42.188 (41.120) Prec@5 63.281 (66.445) Epoch: [9][6080/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6943 (2.7369) Prec@1 46.094 (41.119) Prec@5 64.844 (66.446) Epoch: [9][6090/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4595 (2.7367) Prec@1 47.656 (41.122) Prec@5 71.875 (66.449) Epoch: [9][6100/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8559 (2.7368) Prec@1 35.156 (41.117) Prec@5 62.500 (66.446) Epoch: [9][6110/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4180 (2.7367) Prec@1 41.406 (41.115) Prec@5 68.750 (66.447) Epoch: [9][6120/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.8466 (2.7367) Prec@1 40.625 (41.117) Prec@5 60.938 (66.447) Epoch: [9][6130/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8328 (2.7369) Prec@1 39.062 (41.109) Prec@5 65.625 (66.443) Epoch: [9][6140/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.4721 (2.7370) Prec@1 46.875 (41.108) Prec@5 68.750 (66.440) Epoch: [9][6150/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7452 (2.7371) Prec@1 35.156 (41.103) Prec@5 66.406 (66.440) Epoch: [9][6160/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8053 (2.7371) Prec@1 34.375 (41.102) Prec@5 61.719 (66.439) Epoch: [9][6170/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7240 (2.7370) Prec@1 43.750 (41.107) Prec@5 67.188 (66.441) Epoch: [9][6180/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9818 (2.7369) Prec@1 35.156 (41.108) Prec@5 66.406 (66.442) Epoch: [9][6190/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6726 (2.7368) Prec@1 40.625 (41.112) Prec@5 69.531 (66.445) Epoch: [9][6200/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.2314 (2.7370) Prec@1 31.250 (41.109) Prec@5 57.031 (66.443) Epoch: [9][6210/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5026 (2.7369) Prec@1 45.312 (41.110) Prec@5 66.406 (66.446) Epoch: [9][6220/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9064 (2.7368) Prec@1 35.938 (41.109) Prec@5 64.062 (66.448) Epoch: [9][6230/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7240 (2.7367) Prec@1 40.625 (41.112) Prec@5 65.625 (66.448) Epoch: [9][6240/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6433 (2.7366) Prec@1 44.531 (41.114) Prec@5 66.406 (66.451) Epoch: [9][6250/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6566 (2.7365) Prec@1 43.750 (41.116) Prec@5 67.188 (66.453) Epoch: [9][6260/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4054 (2.7363) Prec@1 43.750 (41.118) Prec@5 75.000 (66.457) Epoch: [9][6270/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.3496 (2.7361) Prec@1 42.969 (41.120) Prec@5 74.219 (66.459) Epoch: [9][6280/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7735 (2.7362) Prec@1 40.625 (41.121) Prec@5 67.188 (66.457) Epoch: [9][6290/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6558 (2.7362) Prec@1 45.312 (41.121) Prec@5 66.406 (66.457) Epoch: [9][6300/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8436 (2.7363) Prec@1 42.969 (41.121) Prec@5 61.719 (66.454) Epoch: [9][6310/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7443 (2.7364) Prec@1 39.062 (41.119) Prec@5 67.188 (66.452) Epoch: [9][6320/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.7176 (2.7364) Prec@1 39.062 (41.119) Prec@5 66.406 (66.452) Epoch: [9][6330/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5915 (2.7362) Prec@1 42.188 (41.121) Prec@5 68.750 (66.456) Epoch: [9][6340/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5223 (2.7362) Prec@1 45.312 (41.120) Prec@5 69.531 (66.456) Epoch: [9][6350/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.4397 (2.7361) Prec@1 41.406 (41.118) Prec@5 78.125 (66.460) Epoch: [9][6360/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5152 (2.7360) Prec@1 46.094 (41.122) Prec@5 66.406 (66.459) Epoch: [9][6370/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0066 (2.7361) Prec@1 33.594 (41.123) Prec@5 62.500 (66.459) Epoch: [9][6380/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.6165 (2.7362) Prec@1 40.625 (41.120) Prec@5 69.531 (66.457) Epoch: [9][6390/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5505 (2.7362) Prec@1 47.656 (41.122) Prec@5 65.625 (66.456) Epoch: [9][6400/10010] Time 0.328 (0.332) Data 0.003 (0.001) Loss 3.0806 (2.7362) Prec@1 40.625 (41.125) Prec@5 57.031 (66.457) Epoch: [9][6410/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.3556 (2.7361) Prec@1 52.344 (41.126) Prec@5 71.875 (66.459) Epoch: [9][6420/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6470 (2.7360) Prec@1 46.875 (41.131) Prec@5 66.406 (66.459) Epoch: [9][6430/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8316 (2.7360) Prec@1 43.750 (41.129) Prec@5 67.969 (66.459) Epoch: [9][6440/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4684 (2.7361) Prec@1 44.531 (41.131) Prec@5 70.312 (66.459) Epoch: [9][6450/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6376 (2.7360) Prec@1 39.062 (41.131) Prec@5 67.188 (66.458) Epoch: [9][6460/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7523 (2.7361) Prec@1 39.844 (41.129) Prec@5 71.094 (66.459) Epoch: [9][6470/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4949 (2.7359) Prec@1 42.969 (41.132) Prec@5 69.531 (66.462) Epoch: [9][6480/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5299 (2.7359) Prec@1 42.969 (41.130) Prec@5 65.625 (66.461) Epoch: [9][6490/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6877 (2.7359) Prec@1 38.281 (41.131) Prec@5 62.500 (66.461) Epoch: [9][6500/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5467 (2.7358) Prec@1 43.750 (41.131) Prec@5 69.531 (66.465) Epoch: [9][6510/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9182 (2.7357) Prec@1 42.188 (41.133) Prec@5 66.406 (66.465) Epoch: [9][6520/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9907 (2.7356) Prec@1 32.812 (41.135) Prec@5 62.500 (66.467) Epoch: [9][6530/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7145 (2.7357) Prec@1 35.156 (41.134) Prec@5 65.625 (66.466) Epoch: [9][6540/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8619 (2.7357) Prec@1 40.625 (41.134) Prec@5 66.406 (66.467) Epoch: [9][6550/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5297 (2.7358) Prec@1 47.656 (41.130) Prec@5 69.531 (66.466) Epoch: [9][6560/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8287 (2.7357) Prec@1 37.500 (41.130) Prec@5 66.406 (66.466) Epoch: [9][6570/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6067 (2.7358) Prec@1 42.969 (41.129) Prec@5 70.312 (66.467) Epoch: [9][6580/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.5053 (2.7357) Prec@1 45.312 (41.130) Prec@5 75.000 (66.469) Epoch: [9][6590/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7974 (2.7358) Prec@1 40.625 (41.129) Prec@5 64.062 (66.466) Epoch: [9][6600/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5629 (2.7357) Prec@1 40.625 (41.127) Prec@5 65.625 (66.468) Epoch: [9][6610/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9419 (2.7358) Prec@1 39.844 (41.124) Prec@5 64.062 (66.466) Epoch: [9][6620/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 3.0466 (2.7359) Prec@1 30.469 (41.118) Prec@5 64.844 (66.467) Epoch: [9][6630/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7645 (2.7359) Prec@1 40.625 (41.118) Prec@5 64.844 (66.466) Epoch: [9][6640/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0674 (2.7360) Prec@1 29.688 (41.114) Prec@5 57.031 (66.463) Epoch: [9][6650/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9679 (2.7360) Prec@1 35.156 (41.113) Prec@5 62.500 (66.463) Epoch: [9][6660/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7757 (2.7361) Prec@1 35.156 (41.111) Prec@5 64.844 (66.461) Epoch: [9][6670/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9110 (2.7361) Prec@1 37.500 (41.110) Prec@5 62.500 (66.461) Epoch: [9][6680/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7107 (2.7362) Prec@1 40.625 (41.109) Prec@5 66.406 (66.462) Epoch: [9][6690/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4850 (2.7362) Prec@1 42.188 (41.108) Prec@5 75.000 (66.463) Epoch: [9][6700/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5097 (2.7362) Prec@1 42.188 (41.109) Prec@5 68.750 (66.462) Epoch: [9][6710/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9620 (2.7362) Prec@1 41.406 (41.108) Prec@5 60.156 (66.459) Epoch: [9][6720/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6041 (2.7361) Prec@1 41.406 (41.114) Prec@5 69.531 (66.462) Epoch: [9][6730/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8842 (2.7362) Prec@1 42.969 (41.112) Prec@5 60.156 (66.459) Epoch: [9][6740/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7896 (2.7361) Prec@1 43.750 (41.115) Prec@5 69.531 (66.463) Epoch: [9][6750/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6123 (2.7359) Prec@1 42.188 (41.117) Prec@5 71.094 (66.467) Epoch: [9][6760/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5815 (2.7358) Prec@1 45.312 (41.122) Prec@5 64.844 (66.469) Epoch: [9][6770/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5373 (2.7357) Prec@1 46.875 (41.120) Prec@5 71.094 (66.469) Epoch: [9][6780/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7112 (2.7356) Prec@1 43.750 (41.123) Prec@5 63.281 (66.470) Epoch: [9][6790/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.1229 (2.7356) Prec@1 41.406 (41.124) Prec@5 58.594 (66.470) Epoch: [9][6800/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7852 (2.7358) Prec@1 36.719 (41.119) Prec@5 68.750 (66.466) Epoch: [9][6810/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6049 (2.7357) Prec@1 46.094 (41.121) Prec@5 71.875 (66.466) Epoch: [9][6820/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4913 (2.7358) Prec@1 49.219 (41.119) Prec@5 75.000 (66.465) Epoch: [9][6830/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5533 (2.7359) Prec@1 43.750 (41.121) Prec@5 71.875 (66.464) Epoch: [9][6840/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5577 (2.7359) Prec@1 33.594 (41.119) Prec@5 64.844 (66.465) Epoch: [9][6850/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5982 (2.7357) Prec@1 42.188 (41.120) Prec@5 67.188 (66.467) Epoch: [9][6860/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8102 (2.7358) Prec@1 38.281 (41.119) Prec@5 65.625 (66.467) Epoch: [9][6870/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4961 (2.7357) Prec@1 46.094 (41.119) Prec@5 69.531 (66.468) Epoch: [9][6880/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5913 (2.7358) Prec@1 43.750 (41.118) Prec@5 68.750 (66.466) Epoch: [9][6890/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7299 (2.7358) Prec@1 40.625 (41.120) Prec@5 64.062 (66.465) Epoch: [9][6900/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8300 (2.7358) Prec@1 39.844 (41.122) Prec@5 65.625 (66.466) Epoch: [9][6910/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 3.0440 (2.7358) Prec@1 33.594 (41.121) Prec@5 62.500 (66.464) Epoch: [9][6920/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7574 (2.7358) Prec@1 41.406 (41.121) Prec@5 67.969 (66.465) /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: [9][6930/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9695 (2.7358) Prec@1 42.188 (41.118) Prec@5 60.156 (66.464) Epoch: [9][6940/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8093 (2.7359) Prec@1 39.062 (41.119) Prec@5 68.750 (66.462) Epoch: [9][6950/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7792 (2.7359) Prec@1 41.406 (41.117) Prec@5 61.719 (66.462) Epoch: [9][6960/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4815 (2.7358) Prec@1 43.750 (41.120) Prec@5 71.094 (66.463) Epoch: [9][6970/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7724 (2.7357) Prec@1 40.625 (41.120) Prec@5 68.750 (66.465) Epoch: [9][6980/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7597 (2.7358) Prec@1 41.406 (41.119) Prec@5 66.406 (66.465) Epoch: [9][6990/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.0552 (2.7360) Prec@1 35.156 (41.115) Prec@5 60.156 (66.460) Epoch: [9][7000/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7185 (2.7360) Prec@1 42.188 (41.116) Prec@5 63.281 (66.462) Epoch: [9][7010/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7264 (2.7360) Prec@1 42.969 (41.116) Prec@5 67.969 (66.462) Epoch: [9][7020/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6504 (2.7360) Prec@1 46.875 (41.115) Prec@5 65.625 (66.462) Epoch: [9][7030/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 3.0051 (2.7361) Prec@1 35.156 (41.111) Prec@5 66.406 (66.460) Epoch: [9][7040/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8745 (2.7363) Prec@1 39.844 (41.108) Prec@5 64.062 (66.458) Epoch: [9][7050/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6071 (2.7363) Prec@1 46.094 (41.107) Prec@5 66.406 (66.457) Epoch: [9][7060/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8653 (2.7363) Prec@1 37.500 (41.109) Prec@5 69.531 (66.457) Epoch: [9][7070/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.4846 (2.7363) Prec@1 44.531 (41.111) Prec@5 71.875 (66.459) Epoch: [9][7080/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5825 (2.7362) Prec@1 47.656 (41.112) Prec@5 67.188 (66.459) Epoch: [9][7090/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6074 (2.7361) Prec@1 49.219 (41.114) Prec@5 66.406 (66.460) Epoch: [9][7100/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6444 (2.7359) Prec@1 40.625 (41.114) Prec@5 67.188 (66.462) Epoch: [9][7110/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7981 (2.7358) Prec@1 36.719 (41.115) Prec@5 62.500 (66.463) Epoch: [9][7120/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7007 (2.7358) Prec@1 39.844 (41.115) Prec@5 67.188 (66.464) Epoch: [9][7130/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.7630 (2.7358) Prec@1 42.188 (41.115) Prec@5 64.844 (66.464) Epoch: [9][7140/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9839 (2.7358) Prec@1 39.062 (41.113) Prec@5 64.844 (66.464) Epoch: [9][7150/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6420 (2.7359) Prec@1 44.531 (41.111) Prec@5 68.750 (66.461) Epoch: [9][7160/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5445 (2.7358) Prec@1 42.188 (41.114) Prec@5 68.750 (66.461) Epoch: [9][7170/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9539 (2.7357) Prec@1 56.250 (41.118) Prec@5 82.031 (66.461) Epoch: [9][7180/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.8552 (2.7358) Prec@1 41.406 (41.116) Prec@5 65.625 (66.459) Epoch: [9][7190/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5545 (2.7360) Prec@1 45.312 (41.113) Prec@5 69.531 (66.457) Epoch: [9][7200/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.9641 (2.7360) Prec@1 39.844 (41.112) Prec@5 64.844 (66.455) Epoch: [9][7210/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6563 (2.7362) Prec@1 40.625 (41.110) Prec@5 66.406 (66.450) Epoch: [9][7220/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.5585 (2.7362) Prec@1 51.562 (41.108) Prec@5 69.531 (66.449) Epoch: [9][7230/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7054 (2.7361) Prec@1 35.156 (41.109) Prec@5 67.188 (66.450) Epoch: [9][7240/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5262 (2.7361) Prec@1 44.531 (41.109) Prec@5 70.312 (66.450) Epoch: [9][7250/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7371 (2.7361) Prec@1 40.625 (41.107) Prec@5 68.750 (66.448) Epoch: [9][7260/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4496 (2.7360) Prec@1 49.219 (41.108) Prec@5 75.000 (66.451) Epoch: [9][7270/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9151 (2.7361) Prec@1 34.375 (41.107) Prec@5 60.938 (66.449) Epoch: [9][7280/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7774 (2.7361) Prec@1 39.062 (41.108) Prec@5 64.844 (66.448) Epoch: [9][7290/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.2815 (2.7362) Prec@1 41.406 (41.104) Prec@5 69.531 (66.446) Epoch: [9][7300/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.0349 (2.7363) Prec@1 32.031 (41.102) Prec@5 59.375 (66.445) Epoch: [9][7310/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7654 (2.7363) Prec@1 37.500 (41.099) Prec@5 71.094 (66.445) Epoch: [9][7320/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.3910 (2.7363) Prec@1 46.875 (41.099) Prec@5 70.312 (66.446) Epoch: [9][7330/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5451 (2.7364) Prec@1 40.625 (41.096) Prec@5 68.750 (66.443) Epoch: [9][7340/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8894 (2.7365) Prec@1 39.844 (41.098) Prec@5 64.062 (66.441) Epoch: [9][7350/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.8135 (2.7364) Prec@1 39.062 (41.098) Prec@5 67.188 (66.443) Epoch: [9][7360/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9063 (2.7364) Prec@1 42.188 (41.097) Prec@5 66.406 (66.443) Epoch: [9][7370/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8181 (2.7365) Prec@1 42.188 (41.096) Prec@5 67.969 (66.440) Epoch: [9][7380/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.0018 (2.7367) Prec@1 34.375 (41.093) Prec@5 59.375 (66.436) Epoch: [9][7390/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.8449 (2.7367) Prec@1 39.062 (41.096) Prec@5 65.625 (66.437) Epoch: [9][7400/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9332 (2.7368) Prec@1 38.281 (41.092) Prec@5 63.281 (66.434) Epoch: [9][7410/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7085 (2.7369) Prec@1 45.312 (41.091) Prec@5 65.625 (66.433) Epoch: [9][7420/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6044 (2.7368) Prec@1 43.750 (41.093) Prec@5 65.625 (66.434) Epoch: [9][7430/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 3.0404 (2.7369) Prec@1 34.375 (41.091) Prec@5 62.500 (66.434) Epoch: [9][7440/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6333 (2.7368) Prec@1 41.406 (41.090) Prec@5 70.312 (66.434) Epoch: [9][7450/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5928 (2.7368) Prec@1 40.625 (41.089) Prec@5 71.094 (66.434) Epoch: [9][7460/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6951 (2.7368) Prec@1 46.094 (41.089) Prec@5 69.531 (66.434) Epoch: [9][7470/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9505 (2.7367) Prec@1 35.938 (41.089) Prec@5 63.281 (66.435) Epoch: [9][7480/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9296 (2.7368) Prec@1 40.625 (41.090) Prec@5 64.844 (66.437) Epoch: [9][7490/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6355 (2.7369) Prec@1 43.750 (41.087) Prec@5 66.406 (66.434) Epoch: [9][7500/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8856 (2.7369) Prec@1 38.281 (41.085) Prec@5 66.406 (66.435) Epoch: [9][7510/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5943 (2.7369) Prec@1 38.281 (41.087) Prec@5 70.312 (66.436) Epoch: [9][7520/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7345 (2.7368) Prec@1 39.062 (41.086) Prec@5 68.750 (66.436) Epoch: [9][7530/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.2021 (2.7368) Prec@1 49.219 (41.087) Prec@5 78.125 (66.436) Epoch: [9][7540/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.9597 (2.7369) Prec@1 37.500 (41.085) Prec@5 65.625 (66.436) Epoch: [9][7550/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.8111 (2.7369) Prec@1 36.719 (41.085) Prec@5 68.750 (66.436) Epoch: [9][7560/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7500 (2.7369) Prec@1 37.500 (41.084) Prec@5 67.969 (66.436) Epoch: [9][7570/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7314 (2.7368) Prec@1 39.844 (41.086) Prec@5 68.750 (66.439) Epoch: [9][7580/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.4867 (2.7368) Prec@1 39.062 (41.084) Prec@5 68.750 (66.440) Epoch: [9][7590/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0674 (2.7369) Prec@1 35.938 (41.082) Prec@5 62.500 (66.437) Epoch: [9][7600/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.3932 (2.7369) Prec@1 46.875 (41.083) Prec@5 74.219 (66.439) Epoch: [9][7610/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8364 (2.7368) Prec@1 39.062 (41.084) Prec@5 69.531 (66.440) Epoch: [9][7620/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.3875 (2.7367) Prec@1 49.219 (41.085) Prec@5 72.656 (66.441) Epoch: [9][7630/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9395 (2.7367) Prec@1 40.625 (41.084) Prec@5 64.062 (66.442) Epoch: [9][7640/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9870 (2.7368) Prec@1 38.281 (41.083) Prec@5 65.625 (66.440) Epoch: [9][7650/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.7227 (2.7368) Prec@1 42.188 (41.083) Prec@5 60.156 (66.440) Epoch: [9][7660/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5986 (2.7366) Prec@1 44.531 (41.084) Prec@5 67.969 (66.443) Epoch: [9][7670/10010] Time 0.332 (0.332) Data 0.003 (0.001) Loss 2.9024 (2.7367) Prec@1 39.844 (41.084) Prec@5 64.062 (66.443) Epoch: [9][7680/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6741 (2.7366) Prec@1 42.188 (41.085) Prec@5 66.406 (66.445) Epoch: [9][7690/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8721 (2.7366) Prec@1 37.500 (41.083) Prec@5 60.938 (66.442) Epoch: [9][7700/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6927 (2.7367) Prec@1 39.844 (41.082) Prec@5 68.750 (66.440) Epoch: [9][7710/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8322 (2.7366) Prec@1 41.406 (41.087) Prec@5 62.500 (66.438) Epoch: [9][7720/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6565 (2.7365) Prec@1 39.844 (41.090) Prec@5 65.625 (66.439) Epoch: [9][7730/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8946 (2.7366) Prec@1 35.938 (41.088) Prec@5 67.188 (66.437) Epoch: [9][7740/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4291 (2.7365) Prec@1 45.312 (41.088) Prec@5 73.438 (66.438) Epoch: [9][7750/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8677 (2.7365) Prec@1 39.062 (41.088) Prec@5 66.406 (66.438) Epoch: [9][7760/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6185 (2.7366) Prec@1 41.406 (41.088) Prec@5 71.875 (66.438) Epoch: [9][7770/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.4935 (2.7366) Prec@1 42.969 (41.087) Prec@5 69.531 (66.438) Epoch: [9][7780/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5953 (2.7364) Prec@1 43.750 (41.091) Prec@5 71.094 (66.441) Epoch: [9][7790/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8608 (2.7365) Prec@1 37.500 (41.090) Prec@5 67.188 (66.441) Epoch: [9][7800/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.3556 (2.7364) Prec@1 44.531 (41.090) Prec@5 72.656 (66.442) Epoch: [9][7810/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7544 (2.7363) Prec@1 39.844 (41.092) Prec@5 65.625 (66.445) Epoch: [9][7820/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.8712 (2.7364) Prec@1 39.062 (41.090) Prec@5 64.062 (66.446) Epoch: [9][7830/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6188 (2.7362) Prec@1 42.188 (41.093) Prec@5 70.312 (66.450) Epoch: [9][7840/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8454 (2.7362) Prec@1 40.625 (41.094) Prec@5 62.500 (66.448) Epoch: [9][7850/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7649 (2.7361) Prec@1 42.969 (41.096) Prec@5 66.406 (66.451) Epoch: [9][7860/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4473 (2.7362) Prec@1 46.094 (41.095) Prec@5 71.875 (66.447) Epoch: [9][7870/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7127 (2.7361) Prec@1 41.406 (41.096) Prec@5 67.188 (66.447) Epoch: [9][7880/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9630 (2.7362) Prec@1 41.406 (41.092) Prec@5 61.719 (66.446) Epoch: [9][7890/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9711 (2.7362) Prec@1 33.594 (41.093) Prec@5 60.938 (66.448) Epoch: [9][7900/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5263 (2.7363) Prec@1 45.312 (41.091) Prec@5 69.531 (66.446) Epoch: [9][7910/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8454 (2.7363) Prec@1 40.625 (41.093) Prec@5 59.375 (66.447) Epoch: [9][7920/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5320 (2.7361) Prec@1 34.375 (41.094) Prec@5 74.219 (66.451) Epoch: [9][7930/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5659 (2.7362) Prec@1 41.406 (41.093) Prec@5 67.188 (66.450) Epoch: [9][7940/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9409 (2.7362) Prec@1 35.938 (41.092) Prec@5 61.719 (66.448) Epoch: [9][7950/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8215 (2.7361) Prec@1 40.625 (41.094) Prec@5 69.531 (66.448) Epoch: [9][7960/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5489 (2.7361) Prec@1 47.656 (41.094) Prec@5 69.531 (66.449) Epoch: [9][7970/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5437 (2.7362) Prec@1 39.844 (41.092) Prec@5 71.094 (66.448) Epoch: [9][7980/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6205 (2.7360) Prec@1 44.531 (41.094) Prec@5 71.094 (66.451) Epoch: [9][7990/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6060 (2.7360) Prec@1 42.969 (41.098) Prec@5 66.406 (66.452) Epoch: [9][8000/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6963 (2.7359) Prec@1 40.625 (41.100) Prec@5 67.969 (66.453) Epoch: [9][8010/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7783 (2.7359) Prec@1 43.750 (41.100) Prec@5 64.844 (66.454) Epoch: [9][8020/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6398 (2.7359) Prec@1 41.406 (41.100) Prec@5 66.406 (66.453) Epoch: [9][8030/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7561 (2.7359) Prec@1 42.969 (41.101) Prec@5 67.188 (66.454) Epoch: [9][8040/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6272 (2.7357) Prec@1 42.188 (41.104) Prec@5 66.406 (66.454) Epoch: [9][8050/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6608 (2.7358) Prec@1 40.625 (41.102) Prec@5 68.750 (66.452) Epoch: [9][8060/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5465 (2.7359) Prec@1 44.531 (41.100) Prec@5 75.000 (66.451) Epoch: [9][8070/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8450 (2.7361) Prec@1 36.719 (41.098) Prec@5 67.188 (66.450) Epoch: [9][8080/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9636 (2.7361) Prec@1 39.062 (41.099) Prec@5 63.281 (66.450) Epoch: [9][8090/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7383 (2.7361) Prec@1 42.188 (41.100) Prec@5 60.938 (66.448) /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: [9][8100/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4976 (2.7361) Prec@1 46.875 (41.103) Prec@5 72.656 (66.449) Epoch: [9][8110/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7405 (2.7361) Prec@1 44.531 (41.104) Prec@5 65.625 (66.448) Epoch: [9][8120/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9306 (2.7361) Prec@1 43.750 (41.105) Prec@5 57.031 (66.447) Epoch: [9][8130/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7001 (2.7361) Prec@1 42.969 (41.102) Prec@5 64.062 (66.447) Epoch: [9][8140/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5142 (2.7361) Prec@1 39.062 (41.100) Prec@5 67.188 (66.447) Epoch: [9][8150/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7020 (2.7361) Prec@1 37.500 (41.102) Prec@5 64.062 (66.448) Epoch: [9][8160/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5301 (2.7363) Prec@1 42.969 (41.099) Prec@5 67.969 (66.446) Epoch: [9][8170/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6160 (2.7362) Prec@1 46.875 (41.101) Prec@5 68.750 (66.446) Epoch: [9][8180/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8231 (2.7361) Prec@1 41.406 (41.101) Prec@5 57.812 (66.445) Epoch: [9][8190/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4701 (2.7361) Prec@1 44.531 (41.099) Prec@5 71.094 (66.443) Epoch: [9][8200/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6648 (2.7361) Prec@1 39.062 (41.099) Prec@5 67.188 (66.445) Epoch: [9][8210/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9620 (2.7361) Prec@1 36.719 (41.098) Prec@5 63.281 (66.446) Epoch: [9][8220/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5961 (2.7360) Prec@1 36.719 (41.098) Prec@5 67.969 (66.449) Epoch: [9][8230/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7387 (2.7360) Prec@1 35.938 (41.099) Prec@5 64.062 (66.448) Epoch: [9][8240/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7131 (2.7360) Prec@1 43.750 (41.097) Prec@5 66.406 (66.447) Epoch: [9][8250/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8858 (2.7361) Prec@1 37.500 (41.096) Prec@5 62.500 (66.446) Epoch: [9][8260/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5010 (2.7362) Prec@1 42.188 (41.095) Prec@5 72.656 (66.444) Epoch: [9][8270/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5422 (2.7364) Prec@1 46.094 (41.093) Prec@5 67.969 (66.441) Epoch: [9][8280/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8599 (2.7365) Prec@1 37.500 (41.092) Prec@5 63.281 (66.439) Epoch: [9][8290/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6991 (2.7366) Prec@1 40.625 (41.091) Prec@5 66.406 (66.438) Epoch: [9][8300/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7519 (2.7365) Prec@1 35.938 (41.093) Prec@5 68.750 (66.440) Epoch: [9][8310/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8838 (2.7365) Prec@1 41.406 (41.093) Prec@5 65.625 (66.440) Epoch: [9][8320/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8879 (2.7366) Prec@1 42.969 (41.091) Prec@5 64.844 (66.438) Epoch: [9][8330/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9554 (2.7366) Prec@1 39.062 (41.091) Prec@5 63.281 (66.438) Epoch: [9][8340/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5262 (2.7365) Prec@1 44.531 (41.091) Prec@5 73.438 (66.440) Epoch: [9][8350/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7130 (2.7366) Prec@1 39.062 (41.089) Prec@5 64.844 (66.438) Epoch: [9][8360/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.4985 (2.7365) Prec@1 42.188 (41.089) Prec@5 71.875 (66.439) Epoch: [9][8370/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7720 (2.7366) Prec@1 40.625 (41.089) Prec@5 66.406 (66.439) Epoch: [9][8380/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.1395 (2.7367) Prec@1 36.719 (41.086) Prec@5 61.719 (66.438) Epoch: [9][8390/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9262 (2.7367) Prec@1 36.719 (41.084) Prec@5 58.594 (66.437) Epoch: [9][8400/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7254 (2.7367) Prec@1 44.531 (41.086) Prec@5 64.062 (66.435) Epoch: [9][8410/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7803 (2.7368) Prec@1 35.938 (41.084) Prec@5 66.406 (66.434) Epoch: [9][8420/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7430 (2.7369) Prec@1 37.500 (41.081) Prec@5 66.406 (66.432) Epoch: [9][8430/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6845 (2.7369) Prec@1 45.312 (41.081) Prec@5 66.406 (66.432) Epoch: [9][8440/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6396 (2.7368) Prec@1 43.750 (41.084) Prec@5 69.531 (66.435) Epoch: [9][8450/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5249 (2.7367) Prec@1 47.656 (41.087) Prec@5 67.188 (66.437) Epoch: [9][8460/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6762 (2.7367) Prec@1 43.750 (41.086) Prec@5 71.094 (66.438) Epoch: [9][8470/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6796 (2.7367) Prec@1 46.094 (41.086) Prec@5 68.750 (66.438) Epoch: [9][8480/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8027 (2.7368) Prec@1 36.719 (41.086) Prec@5 63.281 (66.438) Epoch: [9][8490/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8660 (2.7369) Prec@1 40.625 (41.086) Prec@5 63.281 (66.436) Epoch: [9][8500/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5723 (2.7368) Prec@1 43.750 (41.086) Prec@5 65.625 (66.436) Epoch: [9][8510/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5697 (2.7369) Prec@1 39.062 (41.082) Prec@5 71.875 (66.437) Epoch: [9][8520/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8909 (2.7368) Prec@1 33.594 (41.083) Prec@5 65.625 (66.437) Epoch: [9][8530/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.3788 (2.7368) Prec@1 52.344 (41.082) Prec@5 74.219 (66.439) Epoch: [9][8540/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7165 (2.7368) Prec@1 44.531 (41.083) Prec@5 67.969 (66.439) Epoch: [9][8550/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6082 (2.7369) Prec@1 37.500 (41.082) Prec@5 70.312 (66.438) Epoch: [9][8560/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.7890 (2.7370) Prec@1 39.062 (41.081) Prec@5 65.625 (66.438) Epoch: [9][8570/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9193 (2.7370) Prec@1 39.062 (41.082) Prec@5 64.844 (66.438) Epoch: [9][8580/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7315 (2.7370) Prec@1 37.500 (41.081) Prec@5 61.719 (66.436) Epoch: [9][8590/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8602 (2.7370) Prec@1 40.625 (41.083) Prec@5 59.375 (66.436) Epoch: [9][8600/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4773 (2.7369) Prec@1 45.312 (41.083) Prec@5 71.094 (66.437) Epoch: [9][8610/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9100 (2.7370) Prec@1 43.750 (41.084) Prec@5 65.625 (66.436) Epoch: [9][8620/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6023 (2.7370) Prec@1 42.969 (41.084) Prec@5 69.531 (66.437) Epoch: [9][8630/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7092 (2.7369) Prec@1 36.719 (41.084) Prec@5 67.188 (66.438) Epoch: [9][8640/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8125 (2.7370) Prec@1 42.969 (41.081) Prec@5 65.625 (66.436) Epoch: [9][8650/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.7284 (2.7369) Prec@1 40.625 (41.082) Prec@5 64.062 (66.437) Epoch: [9][8660/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.2561 (2.7368) Prec@1 50.000 (41.084) Prec@5 78.125 (66.439) Epoch: [9][8670/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0718 (2.7368) Prec@1 39.844 (41.085) Prec@5 61.719 (66.439) Epoch: [9][8680/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.2321 (2.7368) Prec@1 48.438 (41.086) Prec@5 73.438 (66.440) Epoch: [9][8690/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7333 (2.7369) Prec@1 44.531 (41.085) Prec@5 65.625 (66.437) Epoch: [9][8700/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6379 (2.7369) Prec@1 42.969 (41.085) Prec@5 67.969 (66.439) Epoch: [9][8710/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6971 (2.7369) Prec@1 45.312 (41.084) Prec@5 65.625 (66.438) Epoch: [9][8720/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.2489 (2.7369) Prec@1 39.062 (41.085) Prec@5 59.375 (66.439) Epoch: [9][8730/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7707 (2.7369) Prec@1 42.188 (41.087) Prec@5 65.625 (66.439) Epoch: [9][8740/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.2319 (2.7370) Prec@1 26.562 (41.086) Prec@5 64.844 (66.439) Epoch: [9][8750/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9171 (2.7370) Prec@1 39.844 (41.087) Prec@5 60.938 (66.439) Epoch: [9][8760/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7000 (2.7369) Prec@1 39.844 (41.089) Prec@5 71.094 (66.441) Epoch: [9][8770/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5101 (2.7367) Prec@1 46.875 (41.093) Prec@5 65.625 (66.444) Epoch: [9][8780/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5306 (2.7368) Prec@1 48.438 (41.092) Prec@5 71.094 (66.443) Epoch: [9][8790/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4980 (2.7369) Prec@1 46.875 (41.091) Prec@5 67.969 (66.439) Epoch: [9][8800/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5583 (2.7370) Prec@1 40.625 (41.093) Prec@5 71.094 (66.437) Epoch: [9][8810/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8213 (2.7371) Prec@1 41.406 (41.088) Prec@5 61.719 (66.435) Epoch: [9][8820/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4750 (2.7371) Prec@1 50.781 (41.089) Prec@5 71.094 (66.435) Epoch: [9][8830/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.9377 (2.7371) Prec@1 42.969 (41.089) Prec@5 61.719 (66.435) Epoch: [9][8840/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6114 (2.7372) Prec@1 38.281 (41.087) Prec@5 65.625 (66.432) Epoch: [9][8850/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6754 (2.7372) Prec@1 44.531 (41.087) Prec@5 70.312 (66.433) Epoch: [9][8860/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.3636 (2.7371) Prec@1 48.438 (41.087) Prec@5 73.438 (66.435) Epoch: [9][8870/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5372 (2.7371) Prec@1 39.844 (41.088) Prec@5 67.969 (66.435) Epoch: [9][8880/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7981 (2.7371) Prec@1 41.406 (41.089) Prec@5 65.625 (66.434) Epoch: [9][8890/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8027 (2.7371) Prec@1 42.969 (41.090) Prec@5 66.406 (66.433) Epoch: [9][8900/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8354 (2.7371) Prec@1 37.500 (41.088) Prec@5 64.062 (66.432) Epoch: [9][8910/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7827 (2.7371) Prec@1 37.500 (41.087) Prec@5 68.750 (66.432) Epoch: [9][8920/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7589 (2.7372) Prec@1 42.969 (41.088) Prec@5 66.406 (66.432) Epoch: [9][8930/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4282 (2.7372) Prec@1 46.094 (41.087) Prec@5 73.438 (66.431) Epoch: [9][8940/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7309 (2.7372) Prec@1 40.625 (41.087) Prec@5 73.438 (66.431) Epoch: [9][8950/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5550 (2.7372) Prec@1 42.969 (41.088) Prec@5 67.188 (66.432) Epoch: [9][8960/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8590 (2.7373) Prec@1 40.625 (41.086) Prec@5 64.844 (66.431) Epoch: [9][8970/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6417 (2.7373) Prec@1 35.938 (41.085) Prec@5 66.406 (66.432) Epoch: [9][8980/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.3554 (2.7372) Prec@1 53.125 (41.087) Prec@5 73.438 (66.432) Epoch: [9][8990/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5503 (2.7372) Prec@1 46.094 (41.088) Prec@5 68.750 (66.430) Epoch: [9][9000/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.3796 (2.7372) Prec@1 47.656 (41.088) Prec@5 71.875 (66.429) Epoch: [9][9010/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6708 (2.7372) Prec@1 38.281 (41.087) Prec@5 66.406 (66.429) Epoch: [9][9020/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.2518 (2.7372) Prec@1 36.719 (41.088) Prec@5 59.375 (66.429) Epoch: [9][9030/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8948 (2.7372) Prec@1 41.406 (41.090) Prec@5 64.062 (66.431) Epoch: [9][9040/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7361 (2.7371) Prec@1 42.969 (41.090) Prec@5 69.531 (66.431) Epoch: [9][9050/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.5718 (2.7373) Prec@1 43.750 (41.088) Prec@5 68.750 (66.429) Epoch: [9][9060/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7489 (2.7373) Prec@1 38.281 (41.088) Prec@5 67.969 (66.428) Epoch: [9][9070/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7838 (2.7373) Prec@1 42.188 (41.088) Prec@5 67.188 (66.428) Epoch: [9][9080/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6594 (2.7372) Prec@1 44.531 (41.089) Prec@5 67.188 (66.430) Epoch: [9][9090/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.4840 (2.7373) Prec@1 46.875 (41.089) Prec@5 70.312 (66.429) Epoch: [9][9100/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.2724 (2.7375) Prec@1 50.781 (41.087) Prec@5 75.781 (66.425) Epoch: [9][9110/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5391 (2.7375) Prec@1 42.969 (41.086) Prec@5 71.094 (66.427) Epoch: [9][9120/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.0284 (2.7375) Prec@1 31.250 (41.087) Prec@5 62.500 (66.426) Epoch: [9][9130/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8901 (2.7375) Prec@1 42.188 (41.087) Prec@5 64.062 (66.426) Epoch: [9][9140/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8512 (2.7375) Prec@1 42.188 (41.088) Prec@5 66.406 (66.427) Epoch: [9][9150/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6525 (2.7375) Prec@1 42.188 (41.088) Prec@5 64.062 (66.427) Epoch: [9][9160/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6491 (2.7375) Prec@1 47.656 (41.090) Prec@5 65.625 (66.427) Epoch: [9][9170/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6213 (2.7374) Prec@1 44.531 (41.091) Prec@5 68.750 (66.427) Epoch: [9][9180/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.9043 (2.7374) Prec@1 36.719 (41.091) Prec@5 63.281 (66.429) Epoch: [9][9190/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.0769 (2.7375) Prec@1 31.250 (41.090) Prec@5 60.156 (66.426) Epoch: [9][9200/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7803 (2.7375) Prec@1 42.188 (41.091) Prec@5 66.406 (66.425) Epoch: [9][9210/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6747 (2.7374) Prec@1 43.750 (41.093) Prec@5 63.281 (66.426) Epoch: [9][9220/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4747 (2.7374) Prec@1 45.312 (41.093) Prec@5 72.656 (66.426) Epoch: [9][9230/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6286 (2.7373) Prec@1 42.188 (41.095) Prec@5 67.188 (66.427) Epoch: [9][9240/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7508 (2.7374) Prec@1 40.625 (41.094) Prec@5 67.969 (66.425) Epoch: [9][9250/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9283 (2.7374) Prec@1 40.625 (41.093) Prec@5 60.156 (66.425) Epoch: [9][9260/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.8586 (2.7374) Prec@1 38.281 (41.093) Prec@5 64.844 (66.427) Epoch: [9][9270/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5992 (2.7374) Prec@1 39.062 (41.092) Prec@5 67.969 (66.428) Epoch: [9][9280/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4609 (2.7374) Prec@1 49.219 (41.093) Prec@5 71.875 (66.428) Epoch: [9][9290/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8255 (2.7374) Prec@1 38.281 (41.093) Prec@5 60.938 (66.427) Epoch: [9][9300/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5183 (2.7374) Prec@1 48.438 (41.093) Prec@5 73.438 (66.427) Epoch: [9][9310/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.4785 (2.7374) Prec@1 43.750 (41.094) Prec@5 65.625 (66.428) Epoch: [9][9320/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0456 (2.7376) Prec@1 34.375 (41.090) Prec@5 62.500 (66.424) Epoch: [9][9330/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6526 (2.7376) Prec@1 42.188 (41.090) Prec@5 67.188 (66.423) Epoch: [9][9340/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9940 (2.7376) Prec@1 37.500 (41.090) Prec@5 62.500 (66.424) Epoch: [9][9350/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7202 (2.7376) Prec@1 39.062 (41.091) Prec@5 63.281 (66.423) Epoch: [9][9360/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7814 (2.7377) Prec@1 44.531 (41.091) Prec@5 65.625 (66.422) Epoch: [9][9370/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6511 (2.7377) Prec@1 39.844 (41.090) Prec@5 71.094 (66.422) Epoch: [9][9380/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4367 (2.7376) Prec@1 45.312 (41.094) Prec@5 71.875 (66.426) Epoch: [9][9390/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5617 (2.7376) Prec@1 41.406 (41.093) Prec@5 69.531 (66.426) Epoch: [9][9400/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 3.2217 (2.7375) Prec@1 37.500 (41.092) Prec@5 61.719 (66.428) Epoch: [9][9410/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7159 (2.7377) Prec@1 41.406 (41.090) Prec@5 73.438 (66.427) Epoch: [9][9420/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.0297 (2.7377) Prec@1 37.500 (41.091) Prec@5 59.375 (66.425) Epoch: [9][9430/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6132 (2.7377) Prec@1 43.750 (41.092) Prec@5 70.312 (66.426) Epoch: [9][9440/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9327 (2.7376) Prec@1 34.375 (41.093) Prec@5 66.406 (66.428) Epoch: [9][9450/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7415 (2.7376) Prec@1 42.188 (41.094) Prec@5 66.406 (66.429) Epoch: [9][9460/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7940 (2.7376) Prec@1 42.969 (41.094) Prec@5 63.281 (66.427) Epoch: [9][9470/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5693 (2.7376) Prec@1 42.969 (41.096) Prec@5 70.312 (66.426) Epoch: [9][9480/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.4987 (2.7375) Prec@1 47.656 (41.098) Prec@5 69.531 (66.427) Epoch: [9][9490/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6868 (2.7375) Prec@1 42.188 (41.100) Prec@5 67.188 (66.427) Epoch: [9][9500/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 3.0061 (2.7376) Prec@1 38.281 (41.099) Prec@5 64.844 (66.426) Epoch: [9][9510/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7868 (2.7376) Prec@1 39.844 (41.096) Prec@5 69.531 (66.425) Epoch: [9][9520/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8809 (2.7377) Prec@1 41.406 (41.097) Prec@5 58.594 (66.424) Epoch: [9][9530/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8637 (2.7377) Prec@1 30.469 (41.095) Prec@5 64.844 (66.422) Epoch: [9][9540/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9638 (2.7378) Prec@1 39.062 (41.093) Prec@5 59.375 (66.419) Epoch: [9][9550/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.5714 (2.7378) Prec@1 43.750 (41.093) Prec@5 64.062 (66.418) Epoch: [9][9560/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9502 (2.7378) Prec@1 35.938 (41.092) Prec@5 62.500 (66.417) Epoch: [9][9570/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9334 (2.7378) Prec@1 37.500 (41.094) Prec@5 64.062 (66.418) Epoch: [9][9580/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9405 (2.7378) Prec@1 42.969 (41.094) Prec@5 64.844 (66.419) Epoch: [9][9590/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6879 (2.7378) Prec@1 36.719 (41.095) Prec@5 64.844 (66.417) Epoch: [9][9600/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 3.0782 (2.7378) Prec@1 33.594 (41.094) Prec@5 63.281 (66.417) Epoch: [9][9610/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9572 (2.7378) Prec@1 39.062 (41.095) Prec@5 61.719 (66.417) Epoch: [9][9620/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.0804 (2.7380) Prec@1 35.156 (41.092) Prec@5 60.938 (66.415) Epoch: [9][9630/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7161 (2.7380) Prec@1 37.500 (41.092) Prec@5 67.188 (66.416) Epoch: [9][9640/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8758 (2.7379) Prec@1 45.312 (41.094) Prec@5 63.281 (66.418) Epoch: [9][9650/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.3249 (2.7378) Prec@1 46.094 (41.096) Prec@5 73.438 (66.421) Epoch: [9][9660/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6825 (2.7378) Prec@1 41.406 (41.094) Prec@5 67.188 (66.420) Epoch: [9][9670/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8156 (2.7377) Prec@1 38.281 (41.096) Prec@5 66.406 (66.422) Epoch: [9][9680/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8623 (2.7377) Prec@1 39.062 (41.097) Prec@5 60.938 (66.422) Epoch: [9][9690/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4992 (2.7377) Prec@1 47.656 (41.097) Prec@5 65.625 (66.422) Epoch: [9][9700/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6753 (2.7376) Prec@1 43.750 (41.098) Prec@5 71.094 (66.425) Epoch: [9][9710/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.1324 (2.7377) Prec@1 37.500 (41.098) Prec@5 57.031 (66.424) Epoch: [9][9720/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6968 (2.7377) Prec@1 39.062 (41.100) Prec@5 69.531 (66.423) Epoch: [9][9730/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4038 (2.7376) Prec@1 45.312 (41.101) Prec@5 71.875 (66.424) Epoch: [9][9740/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4673 (2.7376) Prec@1 43.750 (41.101) Prec@5 72.656 (66.424) Epoch: [9][9750/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8503 (2.7376) Prec@1 40.625 (41.103) Prec@5 64.844 (66.426) Epoch: [9][9760/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7267 (2.7376) Prec@1 42.188 (41.104) Prec@5 65.625 (66.425) Epoch: [9][9770/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7924 (2.7377) Prec@1 41.406 (41.102) Prec@5 64.062 (66.423) Epoch: [9][9780/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6205 (2.7376) Prec@1 44.531 (41.104) Prec@5 70.312 (66.424) Epoch: [9][9790/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1044 (2.7377) Prec@1 37.500 (41.104) Prec@5 64.844 (66.424) Epoch: [9][9800/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7130 (2.7376) Prec@1 41.406 (41.106) Prec@5 64.062 (66.425) Epoch: [9][9810/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.3374 (2.7376) Prec@1 51.562 (41.108) Prec@5 72.656 (66.427) Epoch: [9][9820/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6997 (2.7376) Prec@1 37.500 (41.107) Prec@5 68.750 (66.428) Epoch: [9][9830/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6783 (2.7376) Prec@1 40.625 (41.104) Prec@5 63.281 (66.427) Epoch: [9][9840/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7079 (2.7377) Prec@1 42.188 (41.104) Prec@5 67.969 (66.424) Epoch: [9][9850/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.6545 (2.7376) Prec@1 46.875 (41.107) Prec@5 70.312 (66.424) Epoch: [9][9860/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.8339 (2.7377) Prec@1 35.938 (41.105) Prec@5 64.062 (66.422) Epoch: [9][9870/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7482 (2.7377) Prec@1 33.594 (41.104) Prec@5 64.062 (66.422) Epoch: [9][9880/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9842 (2.7378) Prec@1 39.062 (41.101) Prec@5 61.719 (66.420) Epoch: [9][9890/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7122 (2.7380) Prec@1 47.656 (41.100) Prec@5 69.531 (66.418) Epoch: [9][9900/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6470 (2.7379) Prec@1 44.531 (41.100) Prec@5 70.312 (66.419) Epoch: [9][9910/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7963 (2.7379) Prec@1 42.969 (41.102) Prec@5 69.531 (66.419) Epoch: [9][9920/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8650 (2.7379) Prec@1 34.375 (41.101) Prec@5 62.500 (66.419) Epoch: [9][9930/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 2.7430 (2.7380) Prec@1 36.719 (41.100) Prec@5 67.188 (66.418) Epoch: [9][9940/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.8473 (2.7380) Prec@1 41.406 (41.102) Prec@5 66.406 (66.418) Epoch: [9][9950/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.2701 (2.7380) Prec@1 41.406 (41.101) Prec@5 75.781 (66.417) Epoch: [9][9960/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9481 (2.7380) Prec@1 38.281 (41.101) Prec@5 62.500 (66.417) Epoch: [9][9970/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9529 (2.7381) Prec@1 39.062 (41.098) Prec@5 62.500 (66.415) Epoch: [9][9980/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5664 (2.7381) Prec@1 42.969 (41.098) Prec@5 66.406 (66.416) Epoch: [9][9990/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9292 (2.7381) Prec@1 38.281 (41.097) Prec@5 64.844 (66.415) Epoch: [9][10000/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7964 (2.7382) Prec@1 35.938 (41.096) Prec@5 67.969 (66.415) Test: [0/391] Time 1.436 (1.436) Loss 1.2864 (1.2864) Prec@1 70.312 (70.312) Prec@5 91.406 (91.406) Test: [10/391] Time 0.118 (0.232) Loss 2.5899 (1.7839) Prec@1 42.188 (57.955) Prec@5 66.406 (81.676) Test: [20/391] Time 0.108 (0.174) Loss 2.8764 (2.2283) Prec@1 34.375 (48.735) Prec@5 69.531 (74.963) Test: [30/391] Time 0.115 (0.153) Loss 3.0405 (2.3417) Prec@1 39.844 (46.648) Prec@5 64.844 (74.320) Test: [40/391] Time 0.188 (0.144) Loss 2.8683 (2.2294) Prec@1 29.688 (48.971) Prec@5 65.625 (75.476) Test: [50/391] Time 0.116 (0.137) Loss 1.3345 (2.3543) Prec@1 71.094 (47.901) Prec@5 88.281 (73.468) Test: [60/391] Time 0.116 (0.132) Loss 1.9601 (2.2125) Prec@1 50.000 (50.628) Prec@5 77.344 (75.487) Test: [70/391] Time 0.104 (0.129) Loss 3.7054 (2.2466) Prec@1 24.219 (48.988) Prec@5 44.531 (74.923) Test: [80/391] Time 0.106 (0.126) Loss 1.3567 (2.2902) Prec@1 64.844 (47.290) Prec@5 86.719 (74.084) Test: [90/391] Time 0.103 (0.125) Loss 1.6594 (2.2581) Prec@1 44.531 (47.270) Prec@5 85.938 (74.811) Test: [100/391] Time 0.107 (0.123) Loss 1.9486 (2.2476) Prec@1 53.906 (46.844) Prec@5 81.250 (75.248) Test: [110/391] Time 0.108 (0.122) Loss 2.0917 (2.2470) Prec@1 53.125 (46.699) Prec@5 76.562 (75.211) Test: [120/391] Time 0.114 (0.121) Loss 1.7772 (2.2463) Prec@1 56.250 (46.798) Prec@5 80.469 (75.265) Test: [130/391] Time 0.106 (0.120) Loss 1.3696 (2.2446) Prec@1 71.094 (47.108) Prec@5 88.281 (75.221) Test: [140/391] Time 0.116 (0.119) Loss 2.1923 (2.2374) Prec@1 38.281 (47.213) Prec@5 77.344 (75.366) Test: [150/391] Time 0.102 (0.118) Loss 2.2457 (2.2453) Prec@1 45.312 (47.051) Prec@5 76.562 (75.202) Test: [160/391] Time 0.107 (0.118) Loss 2.5893 (2.2585) Prec@1 35.156 (47.084) Prec@5 72.656 (75.000) Test: [170/391] Time 0.100 (0.117) Loss 2.4335 (2.2977) Prec@1 48.438 (46.619) Prec@5 75.000 (74.447) Test: [180/391] Time 0.108 (0.117) Loss 3.1893 (2.3600) Prec@1 33.594 (45.679) Prec@5 59.375 (73.373) Test: [190/391] Time 0.109 (0.117) Loss 3.9381 (2.3948) Prec@1 21.875 (45.202) Prec@5 54.688 (72.791) Test: [200/391] Time 0.108 (0.116) Loss 3.5631 (2.4564) Prec@1 21.875 (44.290) Prec@5 54.688 (71.704) Test: [210/391] Time 0.105 (0.116) Loss 3.0243 (2.4906) Prec@1 32.031 (43.706) Prec@5 63.281 (71.201) Test: [220/391] Time 0.112 (0.116) Loss 1.3839 (2.5016) Prec@1 67.969 (43.662) Prec@5 88.281 (70.966) Test: [230/391] Time 0.105 (0.116) Loss 2.8489 (2.5103) Prec@1 36.719 (43.669) Prec@5 66.406 (70.803) Test: [240/391] Time 0.105 (0.115) Loss 3.4597 (2.5325) Prec@1 32.812 (43.500) Prec@5 59.375 (70.439) Test: [250/391] Time 0.106 (0.115) Loss 2.0377 (2.5517) Prec@1 58.594 (43.205) Prec@5 74.219 (70.163) Test: [260/391] Time 0.109 (0.115) Loss 3.7721 (2.5748) Prec@1 22.656 (42.738) Prec@5 53.906 (69.792) Test: [270/391] Time 0.159 (0.114) Loss 2.6388 (2.5810) Prec@1 41.406 (42.753) Prec@5 69.531 (69.675) Test: [280/391] Time 0.105 (0.114) Loss 2.8043 (2.5979) Prec@1 26.562 (42.463) Prec@5 67.188 (69.403) Test: [290/391] Time 0.115 (0.114) Loss 3.2504 (2.6152) Prec@1 19.531 (42.206) Prec@5 60.938 (69.120) Test: [300/391] Time 0.106 (0.114) Loss 2.9254 (2.6251) Prec@1 46.875 (42.034) Prec@5 71.875 (68.968) Test: [310/391] Time 0.112 (0.114) Loss 3.5698 (2.6389) Prec@1 30.469 (41.858) Prec@5 57.031 (68.753) Test: [320/391] Time 0.105 (0.114) Loss 1.8993 (2.6478) Prec@1 55.469 (41.769) Prec@5 85.156 (68.597) Test: [330/391] Time 0.111 (0.114) Loss 3.2333 (2.6785) Prec@1 24.219 (41.227) Prec@5 57.031 (68.087) Test: [340/391] Time 0.110 (0.113) Loss 3.1091 (2.6991) Prec@1 21.094 (40.836) Prec@5 67.969 (67.698) Test: [350/391] Time 0.105 (0.113) Loss 2.4844 (2.7075) Prec@1 43.750 (40.772) Prec@5 74.219 (67.501) Test: [360/391] Time 0.105 (0.113) Loss 2.4282 (2.7129) Prec@1 39.062 (40.692) Prec@5 71.875 (67.454) Test: [370/391] Time 0.109 (0.113) Loss 2.5460 (2.7012) Prec@1 45.312 (40.867) Prec@5 78.125 (67.655) Test: [380/391] Time 0.103 (0.113) Loss 2.5861 (2.7021) Prec@1 41.406 (40.896) Prec@5 67.969 (67.630) Test: [390/391] Time 0.071 (0.112) Loss 3.4697 (2.6896) Prec@1 33.750 (41.148) Prec@5 57.500 (67.844) * Prec@1 41.148 Prec@5 67.844 Epoch: [10][0/10010] Time 2.916 (2.916) Data 2.760 (2.760) Loss 2.4988 (2.4988) Prec@1 42.188 (42.188) Prec@5 71.875 (71.875) Epoch: [10][10/10010] Time 0.328 (0.559) Data 0.001 (0.251) Loss 2.9295 (2.7556) Prec@1 39.062 (39.844) Prec@5 67.188 (66.548) Epoch: [10][20/10010] Time 0.327 (0.446) Data 0.001 (0.132) Loss 2.8563 (2.7984) Prec@1 32.812 (39.211) Prec@5 62.500 (66.183) Epoch: [10][30/10010] Time 0.319 (0.406) Data 0.001 (0.090) Loss 3.0676 (2.7991) Prec@1 35.938 (39.718) Prec@5 63.281 (66.179) Epoch: [10][40/10010] Time 0.321 (0.385) Data 0.000 (0.068) Loss 2.6034 (2.7911) Prec@1 39.062 (39.729) Prec@5 71.094 (66.120) Epoch: [10][50/10010] Time 0.334 (0.373) Data 0.000 (0.055) Loss 2.9531 (2.7843) Prec@1 36.719 (39.920) Prec@5 59.375 (66.146) Epoch: [10][60/10010] Time 0.332 (0.366) Data 0.001 (0.046) Loss 2.4849 (2.7624) Prec@1 45.312 (40.292) Prec@5 73.438 (66.381) Epoch: [10][70/10010] Time 0.343 (0.361) Data 0.000 (0.039) Loss 2.4234 (2.7440) Prec@1 43.750 (40.768) Prec@5 71.875 (66.549) Epoch: [10][80/10010] Time 0.339 (0.358) Data 0.001 (0.035) Loss 2.4116 (2.7292) Prec@1 46.094 (40.924) Prec@5 74.219 (66.773) Epoch: [10][90/10010] Time 0.344 (0.355) Data 0.000 (0.031) Loss 2.5416 (2.7176) Prec@1 45.312 (41.149) Prec@5 69.531 (66.930) Epoch: [10][100/10010] Time 0.327 (0.353) Data 0.000 (0.028) Loss 2.8042 (2.7256) Prec@1 39.844 (41.120) Prec@5 62.500 (66.808) Epoch: [10][110/10010] Time 0.319 (0.351) Data 0.001 (0.025) Loss 2.3643 (2.7247) Prec@1 39.844 (41.075) Prec@5 69.531 (66.751) Epoch: [10][120/10010] Time 0.336 (0.349) Data 0.000 (0.023) Loss 2.4866 (2.7153) Prec@1 45.312 (41.206) Prec@5 71.094 (67.007) Epoch: [10][130/10010] Time 0.323 (0.348) Data 0.000 (0.022) Loss 2.5315 (2.7215) Prec@1 45.312 (41.108) Prec@5 70.312 (66.955) Epoch: [10][140/10010] Time 0.341 (0.347) Data 0.001 (0.020) Loss 2.8483 (2.7249) Prec@1 37.500 (41.035) Prec@5 65.625 (66.933) Epoch: [10][150/10010] Time 0.341 (0.345) Data 0.000 (0.019) Loss 2.4667 (2.7227) Prec@1 42.969 (41.018) Prec@5 68.750 (66.924) Epoch: [10][160/10010] Time 0.330 (0.345) Data 0.000 (0.018) Loss 2.6568 (2.7261) Prec@1 42.969 (41.091) Prec@5 67.969 (66.828) Epoch: [10][170/10010] Time 0.327 (0.344) Data 0.001 (0.017) Loss 2.8703 (2.7248) Prec@1 39.844 (41.196) Prec@5 64.844 (66.790) Epoch: [10][180/10010] Time 0.332 (0.344) Data 0.000 (0.016) Loss 2.7453 (2.7267) Prec@1 32.812 (41.134) Prec@5 65.625 (66.730) Epoch: [10][190/10010] Time 0.324 (0.343) Data 0.001 (0.015) Loss 2.4523 (2.7206) Prec@1 46.875 (41.185) Prec@5 75.000 (66.852) Epoch: [10][200/10010] Time 0.321 (0.342) Data 0.000 (0.014) Loss 2.7712 (2.7185) Prec@1 33.594 (41.196) Prec@5 67.969 (66.927) Epoch: [10][210/10010] Time 0.327 (0.341) Data 0.001 (0.014) Loss 2.6189 (2.7107) Prec@1 32.031 (41.310) Prec@5 69.531 (67.058) Epoch: [10][220/10010] Time 0.321 (0.341) Data 0.000 (0.013) Loss 2.7583 (2.7122) Prec@1 40.625 (41.272) Prec@5 69.531 (67.078) Epoch: [10][230/10010] Time 0.332 (0.340) Data 0.001 (0.013) Loss 2.8840 (2.7110) Prec@1 37.500 (41.284) Prec@5 71.094 (67.073) Epoch: [10][240/10010] Time 0.344 (0.340) Data 0.001 (0.012) Loss 2.9793 (2.7115) Prec@1 39.844 (41.257) Prec@5 66.406 (67.071) Epoch: [10][250/10010] Time 0.341 (0.339) Data 0.000 (0.012) Loss 2.6674 (2.7086) Prec@1 42.188 (41.372) Prec@5 64.062 (67.085) Epoch: [10][260/10010] Time 0.335 (0.339) Data 0.001 (0.011) Loss 2.9510 (2.7089) Prec@1 39.062 (41.373) Prec@5 64.844 (67.083) /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: [10][270/10010] Time 0.320 (0.338) Data 0.001 (0.011) Loss 3.0766 (2.7116) Prec@1 35.156 (41.302) Prec@5 59.375 (67.052) Epoch: [10][280/10010] Time 0.343 (0.338) Data 0.000 (0.010) Loss 2.7278 (2.7126) Prec@1 42.969 (41.320) Prec@5 65.625 (67.012) Epoch: [10][290/10010] Time 0.339 (0.338) Data 0.001 (0.010) Loss 2.8289 (2.7101) Prec@1 38.281 (41.371) Prec@5 65.625 (67.064) Epoch: [10][300/10010] Time 0.340 (0.338) Data 0.000 (0.010) Loss 2.4325 (2.7090) Prec@1 45.312 (41.450) Prec@5 71.875 (67.073) Epoch: [10][310/10010] Time 0.325 (0.338) Data 0.001 (0.009) Loss 2.5719 (2.7070) Prec@1 43.750 (41.497) Prec@5 69.531 (67.072) Epoch: [10][320/10010] Time 0.327 (0.338) Data 0.000 (0.009) Loss 2.6040 (2.7083) Prec@1 47.656 (41.508) Prec@5 66.406 (67.027) Epoch: [10][330/10010] Time 0.340 (0.338) Data 0.001 (0.009) Loss 2.3624 (2.7053) Prec@1 49.219 (41.579) Prec@5 74.219 (67.069) Epoch: [10][340/10010] Time 0.334 (0.337) Data 0.000 (0.009) Loss 2.8975 (2.7070) Prec@1 35.938 (41.585) Prec@5 67.188 (67.016) Epoch: [10][350/10010] Time 0.333 (0.337) Data 0.001 (0.008) Loss 2.6174 (2.7056) Prec@1 41.406 (41.607) Prec@5 66.406 (67.070) Epoch: [10][360/10010] Time 0.340 (0.337) Data 0.000 (0.008) Loss 2.5760 (2.7056) Prec@1 43.750 (41.627) Prec@5 69.531 (67.038) Epoch: [10][370/10010] Time 0.316 (0.337) Data 0.001 (0.008) Loss 2.7412 (2.7033) Prec@1 37.500 (41.648) Prec@5 65.625 (67.084) Epoch: [10][380/10010] Time 0.326 (0.337) Data 0.001 (0.008) Loss 2.7054 (2.7037) Prec@1 42.188 (41.638) Prec@5 71.875 (67.056) Epoch: [10][390/10010] Time 0.334 (0.337) Data 0.000 (0.008) Loss 2.5897 (2.7021) Prec@1 42.969 (41.650) Prec@5 66.406 (67.076) Epoch: [10][400/10010] Time 0.339 (0.336) Data 0.001 (0.007) Loss 2.5587 (2.6997) Prec@1 45.312 (41.726) Prec@5 69.531 (67.119) Epoch: [10][410/10010] Time 0.339 (0.336) Data 0.001 (0.007) Loss 2.9481 (2.7003) Prec@1 41.406 (41.735) Prec@5 60.938 (67.130) Epoch: [10][420/10010] Time 0.322 (0.336) Data 0.000 (0.007) Loss 3.1301 (2.7021) Prec@1 35.156 (41.722) Prec@5 63.281 (67.100) Epoch: [10][430/10010] Time 0.328 (0.336) Data 0.001 (0.007) Loss 2.5775 (2.7016) Prec@1 44.531 (41.752) Prec@5 71.875 (67.082) Epoch: [10][440/10010] Time 0.334 (0.336) Data 0.001 (0.007) Loss 2.5776 (2.7006) Prec@1 45.312 (41.778) Prec@5 67.188 (67.097) Epoch: [10][450/10010] Time 0.321 (0.336) Data 0.000 (0.007) Loss 2.5914 (2.6999) Prec@1 46.094 (41.820) Prec@5 68.750 (67.123) Epoch: [10][460/10010] Time 0.325 (0.336) Data 0.001 (0.007) Loss 2.5340 (2.6994) Prec@1 49.219 (41.832) Prec@5 67.969 (67.116) Epoch: [10][470/10010] Time 0.317 (0.336) Data 0.001 (0.006) Loss 2.5359 (2.6977) Prec@1 43.750 (41.833) Prec@5 67.969 (67.159) Epoch: [10][480/10010] Time 0.342 (0.336) Data 0.000 (0.006) Loss 2.5814 (2.6996) Prec@1 43.750 (41.778) Prec@5 71.875 (67.137) Epoch: [10][490/10010] Time 0.332 (0.335) Data 0.001 (0.006) Loss 2.9775 (2.7002) Prec@1 37.500 (41.769) Prec@5 62.500 (67.132) Epoch: [10][500/10010] Time 0.316 (0.335) Data 0.001 (0.006) Loss 2.3253 (2.6995) Prec@1 48.438 (41.771) Prec@5 73.438 (67.152) Epoch: [10][510/10010] Time 0.323 (0.335) Data 0.000 (0.006) Loss 2.6559 (2.6987) Prec@1 42.188 (41.775) Prec@5 67.969 (67.180) Epoch: [10][520/10010] Time 0.317 (0.335) Data 0.001 (0.006) Loss 2.6468 (2.6999) Prec@1 42.969 (41.765) Prec@5 65.625 (67.156) Epoch: [10][530/10010] Time 0.338 (0.335) Data 0.000 (0.006) Loss 2.7066 (2.7004) Prec@1 40.625 (41.768) Prec@5 67.188 (67.117) Epoch: [10][540/10010] Time 0.320 (0.335) Data 0.001 (0.006) Loss 2.7506 (2.7015) Prec@1 45.312 (41.740) Prec@5 63.281 (67.071) Epoch: [10][550/10010] Time 0.327 (0.335) Data 0.001 (0.006) Loss 2.5902 (2.7020) Prec@1 42.969 (41.730) Prec@5 67.188 (67.047) Epoch: [10][560/10010] Time 0.335 (0.334) Data 0.000 (0.006) Loss 2.7387 (2.7017) Prec@1 38.281 (41.759) Prec@5 66.406 (67.045) Epoch: [10][570/10010] Time 0.322 (0.334) Data 0.001 (0.005) Loss 2.3894 (2.7010) Prec@1 46.875 (41.740) Prec@5 69.531 (67.067) Epoch: [10][580/10010] Time 0.340 (0.334) Data 0.001 (0.005) Loss 2.5496 (2.6993) Prec@1 42.969 (41.759) Prec@5 70.312 (67.115) Epoch: [10][590/10010] Time 0.344 (0.334) Data 0.001 (0.005) Loss 2.5175 (2.6996) Prec@1 43.750 (41.763) Prec@5 71.094 (67.104) Epoch: [10][600/10010] Time 0.342 (0.334) Data 0.000 (0.005) Loss 2.8145 (2.6986) Prec@1 35.156 (41.799) Prec@5 65.625 (67.138) Epoch: [10][610/10010] Time 0.322 (0.334) Data 0.000 (0.005) Loss 2.1289 (2.6980) Prec@1 46.094 (41.777) Prec@5 78.125 (67.158) Epoch: [10][620/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 3.1129 (2.6970) Prec@1 34.375 (41.792) Prec@5 58.594 (67.172) Epoch: [10][630/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 2.8934 (2.6993) Prec@1 37.500 (41.753) Prec@5 67.969 (67.137) Epoch: [10][640/10010] Time 0.335 (0.334) Data 0.001 (0.005) Loss 2.8643 (2.6986) Prec@1 39.844 (41.784) Prec@5 64.844 (67.156) Epoch: [10][650/10010] Time 0.347 (0.334) Data 0.000 (0.005) Loss 2.5552 (2.7001) Prec@1 47.656 (41.761) Prec@5 72.656 (67.130) Epoch: [10][660/10010] Time 0.338 (0.334) Data 0.001 (0.005) Loss 2.5108 (2.7003) Prec@1 42.969 (41.750) Prec@5 69.531 (67.144) Epoch: [10][670/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 2.7013 (2.7023) Prec@1 41.406 (41.746) Prec@5 67.969 (67.115) Epoch: [10][680/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 2.9071 (2.7016) Prec@1 40.625 (41.760) Prec@5 64.062 (67.138) Epoch: [10][690/10010] Time 0.334 (0.334) Data 0.000 (0.005) Loss 2.3450 (2.7014) Prec@1 44.531 (41.775) Prec@5 71.875 (67.130) Epoch: [10][700/10010] Time 0.330 (0.333) Data 0.001 (0.005) Loss 2.6043 (2.7026) Prec@1 35.938 (41.718) Prec@5 67.188 (67.107) Epoch: [10][710/10010] Time 0.343 (0.333) Data 0.000 (0.004) Loss 3.0074 (2.7034) Prec@1 35.156 (41.723) Prec@5 60.938 (67.101) Epoch: [10][720/10010] Time 0.318 (0.333) Data 0.001 (0.004) Loss 2.4892 (2.7038) Prec@1 42.188 (41.709) Prec@5 70.312 (67.098) Epoch: [10][730/10010] Time 0.329 (0.333) Data 0.000 (0.004) Loss 2.9589 (2.7048) Prec@1 38.281 (41.702) Prec@5 64.844 (67.075) Epoch: [10][740/10010] Time 0.314 (0.333) Data 0.001 (0.004) Loss 2.7591 (2.7046) Prec@1 40.625 (41.713) Prec@5 68.750 (67.085) Epoch: [10][750/10010] Time 0.326 (0.333) Data 0.001 (0.004) Loss 2.6828 (2.7044) Prec@1 42.188 (41.715) Prec@5 64.844 (67.075) Epoch: [10][760/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 2.9693 (2.7044) Prec@1 41.406 (41.734) Prec@5 60.938 (67.090) Epoch: [10][770/10010] Time 0.338 (0.333) Data 0.001 (0.004) Loss 2.7752 (2.7041) Prec@1 42.969 (41.745) Prec@5 67.188 (67.091) Epoch: [10][780/10010] Time 0.320 (0.333) Data 0.000 (0.004) Loss 2.7047 (2.7033) Prec@1 43.750 (41.752) Prec@5 67.188 (67.096) Epoch: [10][790/10010] Time 0.336 (0.333) Data 0.000 (0.004) Loss 2.4625 (2.7029) Prec@1 44.531 (41.765) Prec@5 69.531 (67.091) Epoch: [10][800/10010] Time 0.345 (0.333) Data 0.000 (0.004) Loss 2.8175 (2.7026) Prec@1 46.875 (41.772) Prec@5 69.531 (67.108) Epoch: [10][810/10010] Time 0.330 (0.333) Data 0.001 (0.004) Loss 2.6081 (2.7020) Prec@1 47.656 (41.787) Prec@5 66.406 (67.117) Epoch: [10][820/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 2.4068 (2.7008) Prec@1 49.219 (41.825) Prec@5 71.875 (67.133) Epoch: [10][830/10010] Time 0.332 (0.333) Data 0.001 (0.004) Loss 2.4083 (2.7002) Prec@1 49.219 (41.819) Prec@5 73.438 (67.159) Epoch: [10][840/10010] Time 0.317 (0.333) Data 0.000 (0.004) Loss 3.0062 (2.7006) Prec@1 39.062 (41.812) Prec@5 62.500 (67.142) Epoch: [10][850/10010] Time 0.327 (0.333) Data 0.001 (0.004) Loss 2.9892 (2.7010) Prec@1 38.281 (41.806) Prec@5 62.500 (67.133) Epoch: [10][860/10010] Time 0.328 (0.333) Data 0.000 (0.004) Loss 2.8735 (2.7009) Prec@1 38.281 (41.814) Prec@5 66.406 (67.130) Epoch: [10][870/10010] Time 0.332 (0.333) Data 0.001 (0.004) Loss 2.9604 (2.7015) Prec@1 30.469 (41.798) Prec@5 60.938 (67.131) Epoch: [10][880/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 2.2511 (2.7017) Prec@1 47.656 (41.791) Prec@5 76.562 (67.130) Epoch: [10][890/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 2.4757 (2.7023) Prec@1 44.531 (41.769) Prec@5 75.781 (67.126) Epoch: [10][900/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 2.9397 (2.7030) Prec@1 39.062 (41.770) Prec@5 64.062 (67.120) Epoch: [10][910/10010] Time 0.323 (0.333) Data 0.001 (0.004) Loss 2.8406 (2.7034) Prec@1 41.406 (41.768) Prec@5 64.062 (67.099) Epoch: [10][920/10010] Time 0.331 (0.333) Data 0.000 (0.004) Loss 2.8573 (2.7031) Prec@1 40.625 (41.768) Prec@5 68.750 (67.110) Epoch: [10][930/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 2.6734 (2.7035) Prec@1 45.312 (41.749) Prec@5 66.406 (67.099) Epoch: [10][940/10010] Time 0.341 (0.333) Data 0.001 (0.004) Loss 2.9905 (2.7040) Prec@1 35.938 (41.726) Prec@5 57.031 (67.079) Epoch: [10][950/10010] Time 0.316 (0.333) Data 0.001 (0.003) Loss 2.7409 (2.7053) Prec@1 37.500 (41.700) Prec@5 65.625 (67.054) Epoch: [10][960/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.4495 (2.7052) Prec@1 43.750 (41.700) Prec@5 73.438 (67.046) Epoch: [10][970/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 2.5498 (2.7045) Prec@1 45.312 (41.693) Prec@5 73.438 (67.056) Epoch: [10][980/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 2.8807 (2.7048) Prec@1 41.406 (41.675) Prec@5 64.844 (67.050) Epoch: [10][990/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 3.0221 (2.7052) Prec@1 39.844 (41.672) Prec@5 64.844 (67.045) Epoch: [10][1000/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 2.6129 (2.7053) Prec@1 46.094 (41.672) Prec@5 66.406 (67.035) Epoch: [10][1010/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.6995 (2.7062) Prec@1 41.406 (41.665) Prec@5 67.188 (67.026) Epoch: [10][1020/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.7478 (2.7061) Prec@1 37.500 (41.658) Prec@5 63.281 (67.018) Epoch: [10][1030/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 3.0471 (2.7066) Prec@1 39.062 (41.650) Prec@5 60.156 (67.006) Epoch: [10][1040/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 3.2877 (2.7072) Prec@1 33.594 (41.622) Prec@5 58.594 (66.997) Epoch: [10][1050/10010] Time 0.311 (0.332) Data 0.000 (0.003) Loss 2.7244 (2.7074) Prec@1 39.062 (41.613) Prec@5 67.188 (66.991) Epoch: [10][1060/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 2.7817 (2.7064) Prec@1 42.969 (41.632) Prec@5 65.625 (66.993) Epoch: [10][1070/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.9546 (2.7072) Prec@1 32.031 (41.613) Prec@5 60.156 (66.981) Epoch: [10][1080/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.5388 (2.7081) Prec@1 50.000 (41.593) Prec@5 64.844 (66.964) Epoch: [10][1090/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.7391 (2.7091) Prec@1 42.188 (41.571) Prec@5 66.406 (66.943) Epoch: [10][1100/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 3.0543 (2.7099) Prec@1 39.062 (41.560) Prec@5 66.406 (66.931) Epoch: [10][1110/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.8417 (2.7107) Prec@1 40.625 (41.546) Prec@5 64.844 (66.922) Epoch: [10][1120/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 2.8234 (2.7100) Prec@1 39.062 (41.557) Prec@5 67.188 (66.934) Epoch: [10][1130/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.8112 (2.7108) Prec@1 39.062 (41.569) Prec@5 66.406 (66.922) Epoch: [10][1140/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 2.6314 (2.7101) Prec@1 46.875 (41.569) Prec@5 67.969 (66.931) Epoch: [10][1150/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 2.7253 (2.7093) Prec@1 41.406 (41.581) Prec@5 62.500 (66.936) Epoch: [10][1160/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.8620 (2.7096) Prec@1 41.406 (41.587) Prec@5 63.281 (66.930) Epoch: [10][1170/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 2.8756 (2.7099) Prec@1 39.062 (41.585) Prec@5 66.406 (66.918) Epoch: [10][1180/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.7555 (2.7098) Prec@1 46.094 (41.588) Prec@5 65.625 (66.911) Epoch: [10][1190/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.5655 (2.7099) Prec@1 44.531 (41.591) Prec@5 70.312 (66.911) Epoch: [10][1200/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 3.1836 (2.7105) Prec@1 34.375 (41.568) Prec@5 64.062 (66.902) Epoch: [10][1210/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 2.7906 (2.7109) Prec@1 38.281 (41.566) Prec@5 64.062 (66.892) Epoch: [10][1220/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.7538 (2.7112) Prec@1 44.531 (41.554) Prec@5 68.750 (66.884) Epoch: [10][1230/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.9183 (2.7109) Prec@1 31.250 (41.549) Prec@5 62.500 (66.892) Epoch: [10][1240/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 2.4821 (2.7104) Prec@1 44.531 (41.557) Prec@5 67.969 (66.888) Epoch: [10][1250/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 2.7399 (2.7113) Prec@1 44.531 (41.549) Prec@5 68.750 (66.876) Epoch: [10][1260/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 2.8773 (2.7111) Prec@1 37.500 (41.554) Prec@5 64.062 (66.877) Epoch: [10][1270/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 2.5213 (2.7114) Prec@1 43.750 (41.549) Prec@5 72.656 (66.867) Epoch: [10][1280/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 2.4835 (2.7114) Prec@1 47.656 (41.542) Prec@5 70.312 (66.854) Epoch: [10][1290/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 2.5789 (2.7109) Prec@1 45.312 (41.556) Prec@5 67.969 (66.861) /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: [10][1300/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.5597 (2.7116) Prec@1 39.844 (41.531) Prec@5 69.531 (66.845) Epoch: [10][1310/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.7791 (2.7116) Prec@1 39.844 (41.526) Prec@5 65.625 (66.853) Epoch: [10][1320/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.5784 (2.7119) Prec@1 42.969 (41.528) Prec@5 67.969 (66.850) Epoch: [10][1330/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 2.7462 (2.7125) Prec@1 38.281 (41.526) Prec@5 66.406 (66.841) Epoch: [10][1340/10010] Time 0.348 (0.332) Data 0.000 (0.003) Loss 2.8362 (2.7128) Prec@1 34.375 (41.508) Prec@5 64.062 (66.836) Epoch: [10][1350/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 2.6518 (2.7124) Prec@1 39.844 (41.511) Prec@5 67.188 (66.847) Epoch: [10][1360/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 2.3855 (2.7115) Prec@1 42.188 (41.530) Prec@5 71.094 (66.861) Epoch: [10][1370/10010] Time 0.348 (0.332) Data 0.000 (0.003) Loss 2.8140 (2.7118) Prec@1 39.844 (41.539) Prec@5 64.844 (66.855) Epoch: [10][1380/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 2.9735 (2.7120) Prec@1 35.156 (41.536) Prec@5 65.625 (66.854) Epoch: [10][1390/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 2.8332 (2.7122) Prec@1 41.406 (41.537) Prec@5 69.531 (66.854) Epoch: [10][1400/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 2.6499 (2.7127) Prec@1 38.281 (41.541) Prec@5 68.750 (66.855) Epoch: [10][1410/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 2.4488 (2.7135) Prec@1 44.531 (41.529) Prec@5 73.438 (66.837) Epoch: [10][1420/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 2.8733 (2.7136) Prec@1 38.281 (41.530) Prec@5 65.625 (66.842) Epoch: [10][1430/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 2.7960 (2.7142) Prec@1 41.406 (41.512) Prec@5 67.188 (66.834) Epoch: [10][1440/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.6972 (2.7143) Prec@1 41.406 (41.509) Prec@5 60.938 (66.825) Epoch: [10][1450/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7263 (2.7137) Prec@1 39.844 (41.537) Prec@5 68.750 (66.837) Epoch: [10][1460/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.7512 (2.7141) Prec@1 39.062 (41.528) Prec@5 69.531 (66.835) Epoch: [10][1470/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.8026 (2.7137) Prec@1 41.406 (41.544) Prec@5 70.312 (66.847) Epoch: [10][1480/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.3893 (2.7136) Prec@1 44.531 (41.536) Prec@5 74.219 (66.855) Epoch: [10][1490/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8587 (2.7140) Prec@1 39.062 (41.539) Prec@5 60.156 (66.837) Epoch: [10][1500/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.7379 (2.7140) Prec@1 35.156 (41.538) Prec@5 64.844 (66.835) Epoch: [10][1510/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.4134 (2.7134) Prec@1 44.531 (41.544) Prec@5 70.312 (66.845) Epoch: [10][1520/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.6019 (2.7134) Prec@1 47.656 (41.546) Prec@5 69.531 (66.837) Epoch: [10][1530/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6214 (2.7138) Prec@1 41.406 (41.542) Prec@5 68.750 (66.843) Epoch: [10][1540/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6012 (2.7139) Prec@1 42.969 (41.533) Prec@5 70.312 (66.837) Epoch: [10][1550/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8512 (2.7143) Prec@1 32.812 (41.515) Prec@5 64.844 (66.832) Epoch: [10][1560/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7564 (2.7141) Prec@1 38.281 (41.520) Prec@5 67.188 (66.843) Epoch: [10][1570/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.7822 (2.7145) Prec@1 42.969 (41.517) Prec@5 63.281 (66.832) Epoch: [10][1580/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6542 (2.7151) Prec@1 42.188 (41.500) Prec@5 68.750 (66.820) Epoch: [10][1590/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7305 (2.7149) Prec@1 43.750 (41.500) Prec@5 67.188 (66.829) Epoch: [10][1600/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.8068 (2.7144) Prec@1 35.156 (41.505) Prec@5 67.188 (66.832) Epoch: [10][1610/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.7996 (2.7145) Prec@1 39.844 (41.505) Prec@5 69.531 (66.834) Epoch: [10][1620/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.7816 (2.7145) Prec@1 38.281 (41.512) Prec@5 67.969 (66.841) Epoch: [10][1630/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.6231 (2.7146) Prec@1 40.625 (41.515) Prec@5 66.406 (66.838) Epoch: [10][1640/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6260 (2.7145) Prec@1 42.969 (41.509) Prec@5 64.844 (66.833) Epoch: [10][1650/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.9377 (2.7148) Prec@1 40.625 (41.517) Prec@5 67.969 (66.837) Epoch: [10][1660/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.8060 (2.7152) Prec@1 35.156 (41.511) Prec@5 65.625 (66.830) Epoch: [10][1670/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.8144 (2.7148) Prec@1 33.594 (41.512) Prec@5 63.281 (66.837) /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: [10][1680/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7473 (2.7151) Prec@1 44.531 (41.505) Prec@5 66.406 (66.834) Epoch: [10][1690/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.6669 (2.7152) Prec@1 42.188 (41.501) Prec@5 66.406 (66.828) Epoch: [10][1700/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6295 (2.7151) Prec@1 46.875 (41.509) Prec@5 68.750 (66.830) Epoch: [10][1710/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.0716 (2.7149) Prec@1 37.500 (41.512) Prec@5 57.812 (66.830) Epoch: [10][1720/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.5819 (2.7151) Prec@1 43.750 (41.500) Prec@5 71.094 (66.825) Epoch: [10][1730/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.8026 (2.7148) Prec@1 39.062 (41.504) Prec@5 72.656 (66.830) Epoch: [10][1740/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7640 (2.7152) Prec@1 42.969 (41.499) Prec@5 67.969 (66.828) Epoch: [10][1750/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6084 (2.7145) Prec@1 46.094 (41.509) Prec@5 70.312 (66.840) Epoch: [10][1760/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.5570 (2.7151) Prec@1 44.531 (41.501) Prec@5 72.656 (66.831) Epoch: [10][1770/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.7689 (2.7157) Prec@1 36.719 (41.483) Prec@5 67.188 (66.826) Epoch: [10][1780/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 3.2603 (2.7164) Prec@1 36.719 (41.473) Prec@5 60.156 (66.821) Epoch: [10][1790/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.9047 (2.7168) Prec@1 38.281 (41.471) Prec@5 61.719 (66.809) Epoch: [10][1800/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.4913 (2.7164) Prec@1 42.969 (41.474) Prec@5 68.750 (66.817) Epoch: [10][1810/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.8838 (2.7169) Prec@1 39.844 (41.468) Prec@5 67.969 (66.813) Epoch: [10][1820/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.4152 (2.7169) Prec@1 40.625 (41.461) Prec@5 71.875 (66.813) Epoch: [10][1830/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5498 (2.7163) Prec@1 40.625 (41.468) Prec@5 71.875 (66.823) Epoch: [10][1840/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.6245 (2.7158) Prec@1 42.969 (41.474) Prec@5 69.531 (66.833) Epoch: [10][1850/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7268 (2.7157) Prec@1 44.531 (41.473) Prec@5 64.844 (66.834) Epoch: [10][1860/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.4874 (2.7156) Prec@1 42.969 (41.475) Prec@5 71.094 (66.836) Epoch: [10][1870/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.3824 (2.7154) Prec@1 43.750 (41.469) Prec@5 71.094 (66.835) Epoch: [10][1880/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.5974 (2.7151) Prec@1 41.406 (41.474) Prec@5 70.312 (66.842) Epoch: [10][1890/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 3.0827 (2.7147) Prec@1 37.500 (41.476) Prec@5 59.375 (66.843) Epoch: [10][1900/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.9320 (2.7156) Prec@1 39.844 (41.456) Prec@5 60.156 (66.821) Epoch: [10][1910/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9011 (2.7155) Prec@1 37.500 (41.454) Prec@5 65.625 (66.820) Epoch: [10][1920/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.4752 (2.7157) Prec@1 43.750 (41.446) Prec@5 65.625 (66.815) Epoch: [10][1930/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.2644 (2.7159) Prec@1 32.031 (41.448) Prec@5 57.812 (66.809) Epoch: [10][1940/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.3249 (2.7158) Prec@1 44.531 (41.447) Prec@5 70.312 (66.810) Epoch: [10][1950/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.7022 (2.7157) Prec@1 42.969 (41.447) Prec@5 68.750 (66.819) Epoch: [10][1960/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.8665 (2.7161) Prec@1 36.719 (41.435) Prec@5 64.844 (66.806) Epoch: [10][1970/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.9425 (2.7161) Prec@1 40.625 (41.432) Prec@5 63.281 (66.805) Epoch: [10][1980/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.9313 (2.7161) Prec@1 39.062 (41.430) Prec@5 60.938 (66.805) Epoch: [10][1990/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.9642 (2.7163) Prec@1 39.062 (41.430) Prec@5 62.500 (66.807) Epoch: [10][2000/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.9570 (2.7161) Prec@1 39.844 (41.432) Prec@5 63.281 (66.808) Epoch: [10][2010/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.7753 (2.7165) Prec@1 38.281 (41.428) Prec@5 66.406 (66.808) Epoch: [10][2020/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.8670 (2.7167) Prec@1 35.938 (41.426) Prec@5 63.281 (66.804) Epoch: [10][2030/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.5183 (2.7163) Prec@1 40.625 (41.431) Prec@5 71.094 (66.809) Epoch: [10][2040/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6491 (2.7158) Prec@1 44.531 (41.438) Prec@5 65.625 (66.811) Epoch: [10][2050/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.8358 (2.7159) Prec@1 39.062 (41.433) Prec@5 63.281 (66.802) Epoch: [10][2060/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.6816 (2.7162) Prec@1 40.625 (41.425) Prec@5 66.406 (66.797) Epoch: [10][2070/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.5266 (2.7159) Prec@1 48.438 (41.430) Prec@5 70.312 (66.802) Epoch: [10][2080/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.5372 (2.7164) Prec@1 46.094 (41.428) Prec@5 70.312 (66.794) Epoch: [10][2090/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.5849 (2.7163) Prec@1 40.625 (41.435) Prec@5 68.750 (66.799) Epoch: [10][2100/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.9166 (2.7161) Prec@1 39.844 (41.436) Prec@5 64.062 (66.803) Epoch: [10][2110/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.8327 (2.7163) Prec@1 39.062 (41.426) Prec@5 67.969 (66.800) Epoch: [10][2120/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.9670 (2.7169) Prec@1 32.031 (41.414) Prec@5 60.938 (66.784) Epoch: [10][2130/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.5796 (2.7164) Prec@1 49.219 (41.424) Prec@5 67.969 (66.794) Epoch: [10][2140/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.5889 (2.7166) Prec@1 44.531 (41.418) Prec@5 69.531 (66.782) Epoch: [10][2150/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7013 (2.7166) Prec@1 46.875 (41.417) Prec@5 66.406 (66.779) Epoch: [10][2160/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.2519 (2.7168) Prec@1 32.812 (41.421) Prec@5 59.375 (66.772) Epoch: [10][2170/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.5180 (2.7173) Prec@1 41.406 (41.407) Prec@5 72.656 (66.767) Epoch: [10][2180/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.0484 (2.7182) Prec@1 35.156 (41.391) Prec@5 61.719 (66.757) Epoch: [10][2190/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5898 (2.7180) Prec@1 42.969 (41.390) Prec@5 71.875 (66.763) Epoch: [10][2200/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.8920 (2.7181) Prec@1 46.094 (41.397) Prec@5 62.500 (66.759) Epoch: [10][2210/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 3.0410 (2.7179) Prec@1 33.594 (41.403) Prec@5 64.062 (66.766) Epoch: [10][2220/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.3236 (2.7176) Prec@1 52.344 (41.409) Prec@5 73.438 (66.772) Epoch: [10][2230/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.7079 (2.7182) Prec@1 36.719 (41.401) Prec@5 69.531 (66.762) Epoch: [10][2240/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.7721 (2.7178) Prec@1 39.844 (41.407) Prec@5 64.062 (66.771) Epoch: [10][2250/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.7549 (2.7178) Prec@1 38.281 (41.407) Prec@5 65.625 (66.772) Epoch: [10][2260/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.5215 (2.7181) Prec@1 43.750 (41.402) Prec@5 67.969 (66.766) Epoch: [10][2270/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.8782 (2.7182) Prec@1 44.531 (41.404) Prec@5 58.594 (66.763) Epoch: [10][2280/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.8557 (2.7183) Prec@1 39.062 (41.398) Prec@5 61.719 (66.761) Epoch: [10][2290/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.6627 (2.7182) Prec@1 38.281 (41.394) Prec@5 65.625 (66.761) Epoch: [10][2300/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.6480 (2.7185) Prec@1 46.094 (41.389) Prec@5 68.750 (66.753) Epoch: [10][2310/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5772 (2.7187) Prec@1 46.094 (41.390) Prec@5 70.312 (66.749) Epoch: [10][2320/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.7432 (2.7187) Prec@1 38.281 (41.390) Prec@5 65.625 (66.750) Epoch: [10][2330/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.8277 (2.7188) Prec@1 38.281 (41.387) Prec@5 66.406 (66.746) Epoch: [10][2340/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6163 (2.7185) Prec@1 39.062 (41.394) Prec@5 64.844 (66.752) Epoch: [10][2350/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.9709 (2.7184) Prec@1 37.500 (41.394) Prec@5 67.188 (66.755) Epoch: [10][2360/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.8271 (2.7186) Prec@1 43.750 (41.392) Prec@5 65.625 (66.753) Epoch: [10][2370/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.5725 (2.7191) Prec@1 42.969 (41.393) Prec@5 72.656 (66.743) Epoch: [10][2380/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.9220 (2.7191) Prec@1 39.844 (41.392) Prec@5 62.500 (66.747) Epoch: [10][2390/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.7514 (2.7192) Prec@1 42.969 (41.387) Prec@5 71.875 (66.755) Epoch: [10][2400/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.8978 (2.7192) Prec@1 37.500 (41.386) Prec@5 63.281 (66.752) Epoch: [10][2410/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.6669 (2.7191) Prec@1 39.844 (41.385) Prec@5 67.188 (66.756) Epoch: [10][2420/10010] Time 0.316 (0.331) Data 0.001 (0.002) Loss 2.5423 (2.7190) Prec@1 39.844 (41.382) Prec@5 75.781 (66.766) Epoch: [10][2430/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.7317 (2.7193) Prec@1 39.062 (41.376) Prec@5 67.969 (66.766) Epoch: [10][2440/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.7799 (2.7193) Prec@1 43.750 (41.379) Prec@5 68.750 (66.764) Epoch: [10][2450/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.7459 (2.7196) Prec@1 35.938 (41.375) Prec@5 67.188 (66.758) Epoch: [10][2460/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 3.1234 (2.7195) Prec@1 36.719 (41.378) Prec@5 64.062 (66.755) Epoch: [10][2470/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.7480 (2.7193) Prec@1 38.281 (41.374) Prec@5 64.844 (66.763) Epoch: [10][2480/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.9474 (2.7196) Prec@1 38.281 (41.368) Prec@5 64.062 (66.757) Epoch: [10][2490/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.5937 (2.7196) Prec@1 39.062 (41.367) Prec@5 67.188 (66.757) Epoch: [10][2500/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.6651 (2.7196) Prec@1 42.969 (41.365) Prec@5 65.625 (66.759) Epoch: [10][2510/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.7643 (2.7198) Prec@1 35.938 (41.361) Prec@5 65.625 (66.757) Epoch: [10][2520/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.5981 (2.7199) Prec@1 39.844 (41.358) Prec@5 68.750 (66.756) Epoch: [10][2530/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 3.0579 (2.7200) Prec@1 35.156 (41.363) Prec@5 58.594 (66.755) Epoch: [10][2540/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.8432 (2.7201) Prec@1 39.062 (41.364) Prec@5 64.062 (66.752) Epoch: [10][2550/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.6617 (2.7202) Prec@1 43.750 (41.361) Prec@5 67.969 (66.745) Epoch: [10][2560/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 3.2392 (2.7203) Prec@1 35.156 (41.356) Prec@5 54.688 (66.740) Epoch: [10][2570/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.5754 (2.7205) Prec@1 39.062 (41.343) Prec@5 67.969 (66.735) Epoch: [10][2580/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.6248 (2.7205) Prec@1 40.625 (41.345) Prec@5 67.969 (66.734) Epoch: [10][2590/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.7730 (2.7206) Prec@1 36.719 (41.342) Prec@5 62.500 (66.735) Epoch: [10][2600/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.4850 (2.7206) Prec@1 43.750 (41.343) Prec@5 70.312 (66.736) Epoch: [10][2610/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.8514 (2.7206) Prec@1 35.156 (41.340) Prec@5 67.188 (66.736) Epoch: [10][2620/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.7757 (2.7208) Prec@1 38.281 (41.336) Prec@5 61.719 (66.731) Epoch: [10][2630/10010] Time 0.346 (0.331) Data 0.000 (0.002) Loss 3.0825 (2.7206) Prec@1 34.375 (41.338) Prec@5 61.719 (66.730) Epoch: [10][2640/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.9999 (2.7211) Prec@1 30.469 (41.336) Prec@5 61.719 (66.727) Epoch: [10][2650/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.8259 (2.7214) Prec@1 37.500 (41.335) Prec@5 72.656 (66.727) Epoch: [10][2660/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.8765 (2.7216) Prec@1 45.312 (41.334) Prec@5 64.844 (66.720) Epoch: [10][2670/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 2.6617 (2.7215) Prec@1 48.438 (41.343) Prec@5 67.969 (66.725) Epoch: [10][2680/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.7088 (2.7214) Prec@1 40.625 (41.339) Prec@5 70.312 (66.729) Epoch: [10][2690/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.7476 (2.7214) Prec@1 43.750 (41.338) Prec@5 64.844 (66.727) Epoch: [10][2700/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 3.3357 (2.7215) Prec@1 33.594 (41.348) Prec@5 61.719 (66.729) Epoch: [10][2710/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.5994 (2.7217) Prec@1 40.625 (41.341) Prec@5 70.312 (66.726) Epoch: [10][2720/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 2.7940 (2.7217) Prec@1 43.750 (41.349) Prec@5 65.625 (66.726) Epoch: [10][2730/10010] Time 0.313 (0.331) Data 0.001 (0.002) Loss 3.2870 (2.7220) Prec@1 35.156 (41.344) Prec@5 57.031 (66.718) Epoch: [10][2740/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 3.0003 (2.7220) Prec@1 33.594 (41.340) Prec@5 56.250 (66.717) Epoch: [10][2750/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.6647 (2.7221) Prec@1 37.500 (41.338) Prec@5 64.844 (66.710) Epoch: [10][2760/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.6841 (2.7222) Prec@1 35.156 (41.337) Prec@5 67.188 (66.712) Epoch: [10][2770/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.8150 (2.7222) Prec@1 40.625 (41.335) Prec@5 61.719 (66.713) Epoch: [10][2780/10010] Time 0.316 (0.331) Data 0.001 (0.002) Loss 2.8748 (2.7222) Prec@1 37.500 (41.337) Prec@5 65.625 (66.711) Epoch: [10][2790/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.7663 (2.7224) Prec@1 37.500 (41.336) Prec@5 65.625 (66.710) Epoch: [10][2800/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 2.9283 (2.7224) Prec@1 36.719 (41.334) Prec@5 61.719 (66.714) Epoch: [10][2810/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 2.9991 (2.7229) Prec@1 34.375 (41.326) Prec@5 60.938 (66.702) Epoch: [10][2820/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.7208 (2.7224) Prec@1 42.969 (41.338) Prec@5 64.062 (66.714) Epoch: [10][2830/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.5869 (2.7229) Prec@1 41.406 (41.333) Prec@5 66.406 (66.707) Epoch: [10][2840/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.3589 (2.7228) Prec@1 50.000 (41.328) Prec@5 73.438 (66.710) Epoch: [10][2850/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.5241 (2.7229) Prec@1 40.625 (41.330) Prec@5 71.875 (66.708) Epoch: [10][2860/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.6124 (2.7226) Prec@1 37.500 (41.333) Prec@5 70.312 (66.710) Epoch: [10][2870/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.7610 (2.7228) Prec@1 39.062 (41.327) Prec@5 65.625 (66.709) Epoch: [10][2880/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.7363 (2.7228) Prec@1 42.969 (41.322) Prec@5 71.094 (66.707) Epoch: [10][2890/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.3740 (2.7226) Prec@1 49.219 (41.324) Prec@5 71.875 (66.714) Epoch: [10][2900/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 3.0082 (2.7225) Prec@1 39.062 (41.332) Prec@5 66.406 (66.716) Epoch: [10][2910/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.5348 (2.7223) Prec@1 42.969 (41.334) Prec@5 72.656 (66.723) Epoch: [10][2920/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.5435 (2.7222) Prec@1 41.406 (41.335) Prec@5 67.969 (66.724) Epoch: [10][2930/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.6893 (2.7223) Prec@1 42.969 (41.333) Prec@5 68.750 (66.718) Epoch: [10][2940/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.7918 (2.7220) Prec@1 38.281 (41.335) Prec@5 68.750 (66.723) Epoch: [10][2950/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.7719 (2.7224) Prec@1 42.969 (41.329) Prec@5 66.406 (66.716) Epoch: [10][2960/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 2.6586 (2.7222) Prec@1 37.500 (41.333) Prec@5 68.750 (66.717) Epoch: [10][2970/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 2.5960 (2.7217) Prec@1 40.625 (41.341) Prec@5 71.875 (66.726) Epoch: [10][2980/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.3596 (2.7219) Prec@1 43.750 (41.339) Prec@5 71.875 (66.724) Epoch: [10][2990/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.4264 (2.7216) Prec@1 50.781 (41.338) Prec@5 66.406 (66.725) Epoch: [10][3000/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.5029 (2.7213) Prec@1 39.844 (41.348) Prec@5 68.750 (66.731) Epoch: [10][3010/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.4392 (2.7214) Prec@1 46.094 (41.349) Prec@5 69.531 (66.726) Epoch: [10][3020/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.4663 (2.7214) Prec@1 44.531 (41.349) Prec@5 71.094 (66.728) Epoch: [10][3030/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.4967 (2.7212) Prec@1 46.094 (41.351) Prec@5 71.094 (66.734) Epoch: [10][3040/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.9038 (2.7213) Prec@1 38.281 (41.357) Prec@5 58.594 (66.734) Epoch: [10][3050/10010] Time 0.345 (0.331) Data 0.001 (0.002) Loss 2.7199 (2.7213) Prec@1 42.969 (41.356) Prec@5 65.625 (66.732) Epoch: [10][3060/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.2977 (2.7213) Prec@1 46.875 (41.353) Prec@5 71.875 (66.729) Epoch: [10][3070/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 3.1755 (2.7215) Prec@1 27.344 (41.351) Prec@5 58.594 (66.727) Epoch: [10][3080/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.8304 (2.7214) Prec@1 39.062 (41.353) Prec@5 60.156 (66.727) Epoch: [10][3090/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5895 (2.7213) Prec@1 40.625 (41.362) Prec@5 72.656 (66.721) Epoch: [10][3100/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8668 (2.7216) Prec@1 38.281 (41.351) Prec@5 68.750 (66.717) Epoch: [10][3110/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6239 (2.7212) Prec@1 40.625 (41.358) Prec@5 67.969 (66.725) Epoch: [10][3120/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5973 (2.7210) Prec@1 39.062 (41.358) Prec@5 64.062 (66.725) Epoch: [10][3130/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7185 (2.7212) Prec@1 40.625 (41.356) Prec@5 67.969 (66.721) Epoch: [10][3140/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.4801 (2.7209) Prec@1 49.219 (41.360) Prec@5 70.312 (66.725) Epoch: [10][3150/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6026 (2.7211) Prec@1 38.281 (41.355) Prec@5 72.656 (66.720) Epoch: [10][3160/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7719 (2.7214) Prec@1 40.625 (41.350) Prec@5 65.625 (66.717) Epoch: [10][3170/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7359 (2.7219) Prec@1 40.625 (41.345) Prec@5 67.969 (66.713) Epoch: [10][3180/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 3.0436 (2.7219) Prec@1 35.938 (41.344) Prec@5 55.469 (66.712) Epoch: [10][3190/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5800 (2.7219) Prec@1 42.969 (41.345) Prec@5 70.312 (66.709) Epoch: [10][3200/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3139 (2.7218) Prec@1 46.875 (41.348) Prec@5 71.875 (66.714) Epoch: [10][3210/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7153 (2.7220) Prec@1 37.500 (41.342) Prec@5 67.188 (66.709) Epoch: [10][3220/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8596 (2.7222) Prec@1 36.719 (41.337) Prec@5 64.844 (66.705) Epoch: [10][3230/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5222 (2.7218) Prec@1 44.531 (41.342) Prec@5 68.750 (66.711) Epoch: [10][3240/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5583 (2.7216) Prec@1 39.062 (41.341) Prec@5 69.531 (66.718) Epoch: [10][3250/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9158 (2.7215) Prec@1 34.375 (41.343) Prec@5 61.719 (66.712) Epoch: [10][3260/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0795 (2.7215) Prec@1 38.281 (41.345) Prec@5 60.156 (66.714) Epoch: [10][3270/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6071 (2.7213) Prec@1 43.750 (41.342) Prec@5 66.406 (66.717) Epoch: [10][3280/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7337 (2.7211) Prec@1 45.312 (41.347) Prec@5 64.062 (66.719) Epoch: [10][3290/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7291 (2.7213) Prec@1 42.969 (41.345) Prec@5 64.844 (66.715) Epoch: [10][3300/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.9012 (2.7214) Prec@1 39.062 (41.343) Prec@5 61.719 (66.715) Epoch: [10][3310/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5929 (2.7213) Prec@1 45.312 (41.345) Prec@5 66.406 (66.715) Epoch: [10][3320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7588 (2.7212) Prec@1 41.406 (41.346) Prec@5 67.188 (66.721) Epoch: [10][3330/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.2674 (2.7214) Prec@1 39.844 (41.345) Prec@5 62.500 (66.724) Epoch: [10][3340/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5432 (2.7214) Prec@1 46.875 (41.347) Prec@5 65.625 (66.722) Epoch: [10][3350/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7236 (2.7213) Prec@1 43.750 (41.350) Prec@5 66.406 (66.721) Epoch: [10][3360/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6279 (2.7214) Prec@1 42.188 (41.352) Prec@5 70.312 (66.727) Epoch: [10][3370/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6060 (2.7214) Prec@1 42.969 (41.356) Prec@5 71.875 (66.726) Epoch: [10][3380/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5971 (2.7218) Prec@1 44.531 (41.350) Prec@5 69.531 (66.718) Epoch: [10][3390/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7501 (2.7218) Prec@1 41.406 (41.347) Prec@5 63.281 (66.712) Epoch: [10][3400/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.3034 (2.7215) Prec@1 47.656 (41.350) Prec@5 72.656 (66.718) /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: [10][3410/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.2326 (2.7213) Prec@1 50.781 (41.353) Prec@5 74.219 (66.720) Epoch: [10][3420/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5361 (2.7212) Prec@1 46.094 (41.350) Prec@5 67.188 (66.722) Epoch: [10][3430/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8846 (2.7217) Prec@1 39.062 (41.343) Prec@5 62.500 (66.714) Epoch: [10][3440/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.0383 (2.7220) Prec@1 39.844 (41.337) Prec@5 61.719 (66.708) Epoch: [10][3450/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4053 (2.7220) Prec@1 45.312 (41.336) Prec@5 71.875 (66.705) Epoch: [10][3460/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9639 (2.7219) Prec@1 40.625 (41.335) Prec@5 60.938 (66.709) Epoch: [10][3470/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6702 (2.7219) Prec@1 37.500 (41.332) Prec@5 67.969 (66.707) Epoch: [10][3480/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.1728 (2.7218) Prec@1 29.688 (41.336) Prec@5 57.031 (66.713) Epoch: [10][3490/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6009 (2.7219) Prec@1 46.875 (41.339) Prec@5 69.531 (66.715) Epoch: [10][3500/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.8729 (2.7216) Prec@1 39.844 (41.345) Prec@5 60.938 (66.718) Epoch: [10][3510/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7590 (2.7216) Prec@1 43.750 (41.344) Prec@5 65.625 (66.715) Epoch: [10][3520/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7423 (2.7217) Prec@1 44.531 (41.343) Prec@5 67.969 (66.716) Epoch: [10][3530/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6149 (2.7215) Prec@1 43.750 (41.345) Prec@5 68.750 (66.719) Epoch: [10][3540/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5560 (2.7216) Prec@1 43.750 (41.347) Prec@5 66.406 (66.721) Epoch: [10][3550/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6980 (2.7214) Prec@1 40.625 (41.352) Prec@5 64.844 (66.725) Epoch: [10][3560/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7301 (2.7210) Prec@1 41.406 (41.355) Prec@5 66.406 (66.727) Epoch: [10][3570/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8575 (2.7213) Prec@1 39.062 (41.350) Prec@5 67.969 (66.724) Epoch: [10][3580/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8734 (2.7212) Prec@1 32.812 (41.349) Prec@5 62.500 (66.726) Epoch: [10][3590/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5932 (2.7211) Prec@1 42.188 (41.350) Prec@5 67.969 (66.725) Epoch: [10][3600/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8383 (2.7211) Prec@1 41.406 (41.347) Prec@5 64.844 (66.726) Epoch: [10][3610/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6229 (2.7212) Prec@1 40.625 (41.341) Prec@5 69.531 (66.723) Epoch: [10][3620/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8732 (2.7209) Prec@1 42.188 (41.348) Prec@5 64.062 (66.723) Epoch: [10][3630/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.2078 (2.7213) Prec@1 47.656 (41.342) Prec@5 75.781 (66.716) Epoch: [10][3640/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4127 (2.7213) Prec@1 50.781 (41.348) Prec@5 72.656 (66.719) Epoch: [10][3650/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6585 (2.7214) Prec@1 46.094 (41.343) Prec@5 68.750 (66.717) Epoch: [10][3660/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4405 (2.7217) Prec@1 43.750 (41.336) Prec@5 68.750 (66.713) Epoch: [10][3670/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4708 (2.7220) Prec@1 44.531 (41.328) Prec@5 73.438 (66.707) Epoch: [10][3680/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7549 (2.7217) Prec@1 35.938 (41.332) Prec@5 63.281 (66.711) Epoch: [10][3690/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5398 (2.7217) Prec@1 42.969 (41.332) Prec@5 71.875 (66.710) Epoch: [10][3700/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7066 (2.7221) Prec@1 42.188 (41.330) Prec@5 67.188 (66.704) Epoch: [10][3710/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8054 (2.7219) Prec@1 38.281 (41.332) Prec@5 61.719 (66.706) Epoch: [10][3720/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8232 (2.7219) Prec@1 39.844 (41.335) Prec@5 67.188 (66.708) Epoch: [10][3730/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.7557 (2.7220) Prec@1 39.062 (41.336) Prec@5 67.969 (66.706) Epoch: [10][3740/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7866 (2.7220) Prec@1 40.625 (41.335) Prec@5 66.406 (66.707) Epoch: [10][3750/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8051 (2.7224) Prec@1 38.281 (41.331) Prec@5 61.719 (66.699) Epoch: [10][3760/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8875 (2.7224) Prec@1 29.688 (41.333) Prec@5 67.188 (66.702) Epoch: [10][3770/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8176 (2.7225) Prec@1 42.969 (41.331) Prec@5 68.750 (66.699) Epoch: [10][3780/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.6730 (2.7225) Prec@1 35.156 (41.329) Prec@5 68.750 (66.701) Epoch: [10][3790/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6375 (2.7224) Prec@1 42.969 (41.327) Prec@5 67.969 (66.704) Epoch: [10][3800/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5056 (2.7224) Prec@1 48.438 (41.327) Prec@5 75.781 (66.707) Epoch: [10][3810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7357 (2.7226) Prec@1 35.938 (41.321) Prec@5 71.875 (66.703) Epoch: [10][3820/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6525 (2.7224) Prec@1 39.062 (41.321) Prec@5 71.875 (66.706) Epoch: [10][3830/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6860 (2.7225) Prec@1 39.844 (41.321) Prec@5 65.625 (66.705) Epoch: [10][3840/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.3169 (2.7224) Prec@1 50.781 (41.321) Prec@5 72.656 (66.708) Epoch: [10][3850/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9109 (2.7226) Prec@1 38.281 (41.316) Prec@5 66.406 (66.707) Epoch: [10][3860/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7870 (2.7229) Prec@1 32.812 (41.310) Prec@5 68.750 (66.702) Epoch: [10][3870/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.3496 (2.7227) Prec@1 50.000 (41.314) Prec@5 70.312 (66.707) Epoch: [10][3880/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7250 (2.7225) Prec@1 42.188 (41.316) Prec@5 64.844 (66.713) Epoch: [10][3890/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.3980 (2.7225) Prec@1 50.000 (41.316) Prec@5 72.656 (66.714) Epoch: [10][3900/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6845 (2.7224) Prec@1 49.219 (41.322) Prec@5 69.531 (66.717) Epoch: [10][3910/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6929 (2.7225) Prec@1 42.188 (41.316) Prec@5 67.969 (66.717) Epoch: [10][3920/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8412 (2.7226) Prec@1 41.406 (41.317) Prec@5 68.750 (66.714) Epoch: [10][3930/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6282 (2.7227) Prec@1 43.750 (41.313) Prec@5 68.750 (66.709) Epoch: [10][3940/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6607 (2.7224) Prec@1 40.625 (41.318) Prec@5 69.531 (66.714) Epoch: [10][3950/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6418 (2.7225) Prec@1 46.094 (41.317) Prec@5 66.406 (66.712) Epoch: [10][3960/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5526 (2.7225) Prec@1 47.656 (41.317) Prec@5 68.750 (66.710) Epoch: [10][3970/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6710 (2.7224) Prec@1 39.844 (41.317) Prec@5 67.969 (66.712) Epoch: [10][3980/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7667 (2.7223) Prec@1 39.844 (41.319) Prec@5 67.969 (66.716) Epoch: [10][3990/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7875 (2.7222) Prec@1 39.062 (41.316) Prec@5 64.844 (66.718) Epoch: [10][4000/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4712 (2.7225) Prec@1 44.531 (41.309) Prec@5 71.094 (66.714) Epoch: [10][4010/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9467 (2.7226) Prec@1 34.375 (41.306) Prec@5 64.062 (66.710) Epoch: [10][4020/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8819 (2.7227) Prec@1 39.062 (41.301) Prec@5 64.844 (66.708) Epoch: [10][4030/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4904 (2.7225) Prec@1 43.750 (41.306) Prec@5 71.875 (66.710) /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: [10][4040/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8571 (2.7225) Prec@1 44.531 (41.307) Prec@5 64.062 (66.709) Epoch: [10][4050/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.7514 (2.7224) Prec@1 40.625 (41.308) Prec@5 65.625 (66.710) Epoch: [10][4060/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8694 (2.7224) Prec@1 42.188 (41.312) Prec@5 69.531 (66.711) Epoch: [10][4070/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7440 (2.7224) Prec@1 42.969 (41.312) Prec@5 66.406 (66.712) Epoch: [10][4080/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4180 (2.7226) Prec@1 48.438 (41.314) Prec@5 73.438 (66.712) Epoch: [10][4090/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.8927 (2.7225) Prec@1 38.281 (41.314) Prec@5 66.406 (66.717) Epoch: [10][4100/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5158 (2.7224) Prec@1 47.656 (41.316) Prec@5 68.750 (66.714) Epoch: [10][4110/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7946 (2.7223) Prec@1 44.531 (41.319) Prec@5 65.625 (66.717) Epoch: [10][4120/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6151 (2.7221) Prec@1 42.188 (41.321) Prec@5 64.844 (66.721) Epoch: [10][4130/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.0160 (2.7223) Prec@1 35.156 (41.318) Prec@5 59.375 (66.715) Epoch: [10][4140/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3745 (2.7226) Prec@1 50.781 (41.314) Prec@5 71.875 (66.711) Epoch: [10][4150/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9131 (2.7227) Prec@1 39.062 (41.311) Prec@5 62.500 (66.711) Epoch: [10][4160/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6048 (2.7224) Prec@1 45.312 (41.315) Prec@5 70.312 (66.718) Epoch: [10][4170/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7943 (2.7226) Prec@1 39.844 (41.316) Prec@5 66.406 (66.713) Epoch: [10][4180/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 3.0698 (2.7230) Prec@1 35.156 (41.312) Prec@5 57.812 (66.704) Epoch: [10][4190/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9732 (2.7231) Prec@1 37.500 (41.310) Prec@5 64.062 (66.701) Epoch: [10][4200/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7788 (2.7233) Prec@1 39.062 (41.308) Prec@5 65.625 (66.699) Epoch: [10][4210/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1177 (2.7233) Prec@1 36.719 (41.308) Prec@5 61.719 (66.699) Epoch: [10][4220/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8983 (2.7234) Prec@1 39.844 (41.308) Prec@5 64.062 (66.698) Epoch: [10][4230/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6239 (2.7232) Prec@1 49.219 (41.312) Prec@5 74.219 (66.703) Epoch: [10][4240/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5414 (2.7232) Prec@1 39.844 (41.311) Prec@5 70.312 (66.707) Epoch: [10][4250/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5807 (2.7230) Prec@1 40.625 (41.310) Prec@5 63.281 (66.712) Epoch: [10][4260/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.3436 (2.7225) Prec@1 44.531 (41.317) Prec@5 67.969 (66.717) Epoch: [10][4270/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.0928 (2.7227) Prec@1 36.719 (41.315) Prec@5 60.938 (66.713) Epoch: [10][4280/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8201 (2.7228) Prec@1 47.656 (41.315) Prec@5 67.188 (66.712) Epoch: [10][4290/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9048 (2.7226) Prec@1 38.281 (41.313) Prec@5 63.281 (66.715) Epoch: [10][4300/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6598 (2.7226) Prec@1 39.844 (41.313) Prec@5 68.750 (66.715) Epoch: [10][4310/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5573 (2.7226) Prec@1 40.625 (41.312) Prec@5 67.188 (66.714) Epoch: [10][4320/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5342 (2.7228) Prec@1 43.750 (41.311) Prec@5 70.312 (66.708) Epoch: [10][4330/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5192 (2.7230) Prec@1 49.219 (41.304) Prec@5 73.438 (66.707) Epoch: [10][4340/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7343 (2.7229) Prec@1 41.406 (41.307) Prec@5 69.531 (66.712) /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: [10][4350/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7260 (2.7230) Prec@1 41.406 (41.304) Prec@5 65.625 (66.711) Epoch: [10][4360/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 3.0518 (2.7233) Prec@1 35.938 (41.298) Prec@5 62.500 (66.703) Epoch: [10][4370/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5684 (2.7232) Prec@1 45.312 (41.305) Prec@5 71.094 (66.708) Epoch: [10][4380/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7244 (2.7234) Prec@1 42.969 (41.300) Prec@5 62.500 (66.702) Epoch: [10][4390/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5300 (2.7232) Prec@1 43.750 (41.305) Prec@5 71.094 (66.704) Epoch: [10][4400/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4374 (2.7230) Prec@1 53.125 (41.305) Prec@5 68.750 (66.706) Epoch: [10][4410/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.1288 (2.7231) Prec@1 40.625 (41.306) Prec@5 58.594 (66.702) Epoch: [10][4420/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5882 (2.7231) Prec@1 50.000 (41.309) Prec@5 71.094 (66.700) Epoch: [10][4430/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9848 (2.7230) Prec@1 38.281 (41.311) Prec@5 65.625 (66.704) Epoch: [10][4440/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7362 (2.7232) Prec@1 42.969 (41.312) Prec@5 67.969 (66.698) Epoch: [10][4450/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4481 (2.7232) Prec@1 46.875 (41.311) Prec@5 67.969 (66.696) Epoch: [10][4460/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8016 (2.7233) Prec@1 39.062 (41.310) Prec@5 61.719 (66.694) Epoch: [10][4470/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8175 (2.7234) Prec@1 39.062 (41.308) Prec@5 64.062 (66.694) Epoch: [10][4480/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6448 (2.7235) Prec@1 39.844 (41.307) Prec@5 67.188 (66.695) Epoch: [10][4490/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4358 (2.7233) Prec@1 46.875 (41.303) Prec@5 69.531 (66.698) Epoch: [10][4500/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7577 (2.7233) Prec@1 42.969 (41.301) Prec@5 64.062 (66.697) Epoch: [10][4510/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5865 (2.7232) Prec@1 44.531 (41.300) Prec@5 67.969 (66.699) Epoch: [10][4520/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4808 (2.7229) Prec@1 46.875 (41.309) Prec@5 71.094 (66.702) Epoch: [10][4530/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.3734 (2.7229) Prec@1 46.875 (41.307) Prec@5 72.656 (66.702) Epoch: [10][4540/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0859 (2.7230) Prec@1 35.156 (41.305) Prec@5 61.719 (66.699) Epoch: [10][4550/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8529 (2.7227) Prec@1 37.500 (41.308) Prec@5 63.281 (66.706) Epoch: [10][4560/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8864 (2.7227) Prec@1 39.062 (41.310) Prec@5 62.500 (66.706) Epoch: [10][4570/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.5321 (2.7227) Prec@1 44.531 (41.309) Prec@5 66.406 (66.707) Epoch: [10][4580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6547 (2.7226) Prec@1 46.875 (41.311) Prec@5 66.406 (66.710) Epoch: [10][4590/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5909 (2.7227) Prec@1 42.188 (41.310) Prec@5 65.625 (66.710) Epoch: [10][4600/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7962 (2.7227) Prec@1 38.281 (41.311) Prec@5 66.406 (66.710) Epoch: [10][4610/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0598 (2.7228) Prec@1 34.375 (41.308) Prec@5 61.719 (66.708) Epoch: [10][4620/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6586 (2.7227) Prec@1 43.750 (41.306) Prec@5 67.969 (66.712) Epoch: [10][4630/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7790 (2.7228) Prec@1 41.406 (41.304) Prec@5 67.969 (66.710) Epoch: [10][4640/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6140 (2.7231) Prec@1 39.844 (41.297) Prec@5 69.531 (66.708) Epoch: [10][4650/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.4870 (2.7230) Prec@1 42.188 (41.298) Prec@5 71.094 (66.714) Epoch: [10][4660/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6872 (2.7229) Prec@1 43.750 (41.300) Prec@5 68.750 (66.715) Epoch: [10][4670/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8468 (2.7229) Prec@1 38.281 (41.297) Prec@5 67.188 (66.716) Epoch: [10][4680/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6516 (2.7228) Prec@1 42.969 (41.299) Prec@5 70.312 (66.718) Epoch: [10][4690/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0451 (2.7229) Prec@1 36.719 (41.295) Prec@5 56.250 (66.715) Epoch: [10][4700/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6084 (2.7230) Prec@1 39.844 (41.293) Prec@5 67.188 (66.714) Epoch: [10][4710/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8597 (2.7230) Prec@1 36.719 (41.291) Prec@5 67.969 (66.714) Epoch: [10][4720/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4968 (2.7230) Prec@1 39.844 (41.292) Prec@5 72.656 (66.716) Epoch: [10][4730/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7468 (2.7230) Prec@1 43.750 (41.292) Prec@5 65.625 (66.718) Epoch: [10][4740/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9420 (2.7229) Prec@1 40.625 (41.292) Prec@5 66.406 (66.720) Epoch: [10][4750/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6154 (2.7230) Prec@1 42.969 (41.293) Prec@5 68.750 (66.719) Epoch: [10][4760/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.7599 (2.7232) Prec@1 45.312 (41.288) Prec@5 67.188 (66.713) Epoch: [10][4770/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7960 (2.7232) Prec@1 35.156 (41.288) Prec@5 59.375 (66.712) Epoch: [10][4780/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.5282 (2.7229) Prec@1 46.094 (41.293) Prec@5 69.531 (66.717) Epoch: [10][4790/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4221 (2.7227) Prec@1 51.562 (41.296) Prec@5 70.312 (66.718) Epoch: [10][4800/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7119 (2.7227) Prec@1 41.406 (41.297) Prec@5 64.062 (66.718) Epoch: [10][4810/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0679 (2.7227) Prec@1 36.719 (41.299) Prec@5 60.156 (66.717) Epoch: [10][4820/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9075 (2.7226) Prec@1 42.969 (41.301) Prec@5 62.500 (66.718) Epoch: [10][4830/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6709 (2.7224) Prec@1 43.750 (41.304) Prec@5 66.406 (66.716) Epoch: [10][4840/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4808 (2.7226) Prec@1 43.750 (41.300) Prec@5 67.969 (66.713) Epoch: [10][4850/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7195 (2.7229) Prec@1 43.750 (41.296) Prec@5 65.625 (66.709) Epoch: [10][4860/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.4750 (2.7229) Prec@1 49.219 (41.298) Prec@5 75.781 (66.708) Epoch: [10][4870/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8608 (2.7232) Prec@1 39.062 (41.295) Prec@5 62.500 (66.701) Epoch: [10][4880/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3857 (2.7232) Prec@1 46.875 (41.300) Prec@5 67.969 (66.702) Epoch: [10][4890/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7082 (2.7234) Prec@1 39.844 (41.295) Prec@5 68.750 (66.697) Epoch: [10][4900/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5787 (2.7235) Prec@1 42.969 (41.294) Prec@5 64.062 (66.692) Epoch: [10][4910/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8418 (2.7238) Prec@1 42.969 (41.290) Prec@5 65.625 (66.685) Epoch: [10][4920/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8105 (2.7237) Prec@1 38.281 (41.290) Prec@5 63.281 (66.686) Epoch: [10][4930/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8984 (2.7237) Prec@1 32.812 (41.287) Prec@5 64.062 (66.689) Epoch: [10][4940/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7616 (2.7237) Prec@1 36.719 (41.286) Prec@5 64.062 (66.690) Epoch: [10][4950/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8216 (2.7236) Prec@1 39.062 (41.285) Prec@5 61.719 (66.688) Epoch: [10][4960/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9225 (2.7236) Prec@1 39.844 (41.283) Prec@5 70.312 (66.691) Epoch: [10][4970/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.3321 (2.7235) Prec@1 44.531 (41.282) Prec@5 71.094 (66.696) Epoch: [10][4980/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9189 (2.7238) Prec@1 39.844 (41.275) Prec@5 62.500 (66.691) Epoch: [10][4990/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6275 (2.7239) Prec@1 42.188 (41.274) Prec@5 67.969 (66.691) Epoch: [10][5000/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5118 (2.7237) Prec@1 42.188 (41.276) Prec@5 65.625 (66.694) Epoch: [10][5010/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7187 (2.7238) Prec@1 42.969 (41.276) Prec@5 60.156 (66.692) Epoch: [10][5020/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8142 (2.7236) Prec@1 40.625 (41.275) Prec@5 64.062 (66.697) Epoch: [10][5030/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6005 (2.7233) Prec@1 38.281 (41.279) Prec@5 67.188 (66.701) Epoch: [10][5040/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6662 (2.7234) Prec@1 41.406 (41.279) Prec@5 69.531 (66.702) Epoch: [10][5050/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4822 (2.7234) Prec@1 50.000 (41.280) Prec@5 71.875 (66.702) Epoch: [10][5060/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.0978 (2.7234) Prec@1 36.719 (41.276) Prec@5 55.469 (66.698) Epoch: [10][5070/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9796 (2.7236) Prec@1 35.156 (41.275) Prec@5 69.531 (66.699) Epoch: [10][5080/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.0070 (2.7237) Prec@1 37.500 (41.274) Prec@5 64.062 (66.698) Epoch: [10][5090/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6238 (2.7236) Prec@1 44.531 (41.279) Prec@5 72.656 (66.701) Epoch: [10][5100/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6353 (2.7238) Prec@1 40.625 (41.275) Prec@5 68.750 (66.696) Epoch: [10][5110/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9079 (2.7237) Prec@1 43.750 (41.279) Prec@5 66.406 (66.698) Epoch: [10][5120/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4289 (2.7237) Prec@1 43.750 (41.279) Prec@5 64.844 (66.693) Epoch: [10][5130/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8157 (2.7237) Prec@1 38.281 (41.280) Prec@5 67.188 (66.694) Epoch: [10][5140/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5074 (2.7237) Prec@1 50.000 (41.282) Prec@5 67.969 (66.694) Epoch: [10][5150/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8450 (2.7238) Prec@1 39.844 (41.282) Prec@5 67.969 (66.692) Epoch: [10][5160/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7115 (2.7238) Prec@1 41.406 (41.279) Prec@5 68.750 (66.693) Epoch: [10][5170/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8512 (2.7238) Prec@1 41.406 (41.281) Prec@5 70.312 (66.695) Epoch: [10][5180/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9706 (2.7239) Prec@1 38.281 (41.280) Prec@5 64.844 (66.692) Epoch: [10][5190/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5178 (2.7240) Prec@1 40.625 (41.280) Prec@5 69.531 (66.691) Epoch: [10][5200/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.3046 (2.7238) Prec@1 46.875 (41.284) Prec@5 79.688 (66.697) Epoch: [10][5210/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8387 (2.7238) Prec@1 37.500 (41.284) Prec@5 64.844 (66.693) Epoch: [10][5220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7562 (2.7239) Prec@1 46.875 (41.281) Prec@5 67.969 (66.693) Epoch: [10][5230/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.2141 (2.7240) Prec@1 35.156 (41.281) Prec@5 58.594 (66.693) Epoch: [10][5240/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4532 (2.7240) Prec@1 41.406 (41.279) Prec@5 71.875 (66.692) Epoch: [10][5250/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4963 (2.7241) Prec@1 48.438 (41.281) Prec@5 71.094 (66.692) Epoch: [10][5260/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0457 (2.7242) Prec@1 37.500 (41.282) Prec@5 64.062 (66.690) Epoch: [10][5270/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8453 (2.7242) Prec@1 37.500 (41.280) Prec@5 63.281 (66.691) Epoch: [10][5280/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.3991 (2.7244) Prec@1 46.094 (41.281) Prec@5 72.656 (66.689) Epoch: [10][5290/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5627 (2.7245) Prec@1 48.438 (41.281) Prec@5 72.656 (66.688) Epoch: [10][5300/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7293 (2.7243) Prec@1 46.094 (41.287) Prec@5 63.281 (66.687) Epoch: [10][5310/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6015 (2.7242) Prec@1 42.188 (41.285) Prec@5 67.188 (66.690) Epoch: [10][5320/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6421 (2.7243) Prec@1 46.875 (41.286) Prec@5 69.531 (66.687) Epoch: [10][5330/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6723 (2.7242) Prec@1 43.750 (41.290) Prec@5 65.625 (66.688) Epoch: [10][5340/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4209 (2.7241) Prec@1 44.531 (41.292) Prec@5 71.875 (66.690) Epoch: [10][5350/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8880 (2.7242) Prec@1 36.719 (41.290) Prec@5 63.281 (66.687) Epoch: [10][5360/10010] Time 0.309 (0.331) Data 0.001 (0.001) Loss 2.7564 (2.7243) Prec@1 36.719 (41.288) Prec@5 65.625 (66.687) Epoch: [10][5370/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8409 (2.7244) Prec@1 39.844 (41.287) Prec@5 65.625 (66.686) Epoch: [10][5380/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7156 (2.7243) Prec@1 41.406 (41.284) Prec@5 64.062 (66.686) Epoch: [10][5390/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8505 (2.7246) Prec@1 39.844 (41.281) Prec@5 65.625 (66.680) Epoch: [10][5400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8607 (2.7249) Prec@1 43.750 (41.278) Prec@5 65.625 (66.675) Epoch: [10][5410/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7272 (2.7247) Prec@1 39.062 (41.281) Prec@5 67.969 (66.677) Epoch: [10][5420/10010] Time 0.337 (0.331) Data 0.002 (0.001) Loss 2.8331 (2.7245) Prec@1 41.406 (41.284) Prec@5 67.188 (66.682) Epoch: [10][5430/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8392 (2.7247) Prec@1 44.531 (41.281) Prec@5 62.500 (66.679) Epoch: [10][5440/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8956 (2.7247) Prec@1 39.062 (41.282) Prec@5 64.062 (66.677) Epoch: [10][5450/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7542 (2.7249) Prec@1 35.938 (41.280) Prec@5 69.531 (66.674) Epoch: [10][5460/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7455 (2.7248) Prec@1 39.844 (41.283) Prec@5 62.500 (66.672) Epoch: [10][5470/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7218 (2.7247) Prec@1 42.969 (41.286) Prec@5 69.531 (66.675) Epoch: [10][5480/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0195 (2.7246) Prec@1 38.281 (41.286) Prec@5 63.281 (66.675) Epoch: [10][5490/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6735 (2.7248) Prec@1 39.844 (41.282) Prec@5 70.312 (66.671) Epoch: [10][5500/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7849 (2.7247) Prec@1 35.938 (41.282) Prec@5 67.188 (66.673) Epoch: [10][5510/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5601 (2.7250) Prec@1 48.438 (41.277) Prec@5 69.531 (66.669) Epoch: [10][5520/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9558 (2.7251) Prec@1 39.062 (41.275) Prec@5 68.750 (66.669) Epoch: [10][5530/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4332 (2.7250) Prec@1 46.875 (41.275) Prec@5 68.750 (66.669) Epoch: [10][5540/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9948 (2.7250) Prec@1 34.375 (41.273) Prec@5 60.938 (66.670) Epoch: [10][5550/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8182 (2.7250) Prec@1 40.625 (41.275) Prec@5 61.719 (66.672) Epoch: [10][5560/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3150 (2.7251) Prec@1 51.562 (41.275) Prec@5 74.219 (66.671) Epoch: [10][5570/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6371 (2.7252) Prec@1 47.656 (41.277) Prec@5 70.312 (66.670) Epoch: [10][5580/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 3.0099 (2.7252) Prec@1 39.844 (41.276) Prec@5 66.406 (66.673) Epoch: [10][5590/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8040 (2.7253) Prec@1 42.969 (41.275) Prec@5 70.312 (66.671) Epoch: [10][5600/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.8155 (2.7255) Prec@1 39.844 (41.270) Prec@5 62.500 (66.668) Epoch: [10][5610/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9044 (2.7256) Prec@1 36.719 (41.270) Prec@5 64.062 (66.666) Epoch: [10][5620/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9364 (2.7257) Prec@1 39.844 (41.269) Prec@5 65.625 (66.665) Epoch: [10][5630/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0028 (2.7257) Prec@1 35.156 (41.270) Prec@5 63.281 (66.664) Epoch: [10][5640/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6214 (2.7257) Prec@1 42.969 (41.270) Prec@5 68.750 (66.663) Epoch: [10][5650/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6967 (2.7257) Prec@1 42.969 (41.270) Prec@5 70.312 (66.664) Epoch: [10][5660/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7490 (2.7257) Prec@1 39.844 (41.271) Prec@5 64.844 (66.662) Epoch: [10][5670/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8290 (2.7256) Prec@1 46.094 (41.272) Prec@5 65.625 (66.666) Epoch: [10][5680/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8277 (2.7254) Prec@1 38.281 (41.276) Prec@5 60.938 (66.667) Epoch: [10][5690/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4810 (2.7254) Prec@1 43.750 (41.277) Prec@5 73.438 (66.668) Epoch: [10][5700/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7661 (2.7254) Prec@1 37.500 (41.276) Prec@5 63.281 (66.669) Epoch: [10][5710/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.5638 (2.7253) Prec@1 44.531 (41.276) Prec@5 72.656 (66.672) Epoch: [10][5720/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5732 (2.7252) Prec@1 42.188 (41.280) Prec@5 72.656 (66.676) Epoch: [10][5730/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8588 (2.7253) Prec@1 39.844 (41.280) Prec@5 67.969 (66.675) Epoch: [10][5740/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.1569 (2.7254) Prec@1 32.812 (41.277) Prec@5 62.500 (66.673) Epoch: [10][5750/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1025 (2.7253) Prec@1 39.062 (41.277) Prec@5 61.719 (66.679) Epoch: [10][5760/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0823 (2.7252) Prec@1 58.594 (41.281) Prec@5 78.906 (66.680) Epoch: [10][5770/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4972 (2.7251) Prec@1 44.531 (41.279) Prec@5 73.438 (66.681) Epoch: [10][5780/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.1873 (2.7252) Prec@1 37.500 (41.278) Prec@5 60.156 (66.680) Epoch: [10][5790/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8249 (2.7250) Prec@1 40.625 (41.282) Prec@5 68.750 (66.684) Epoch: [10][5800/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7208 (2.7250) Prec@1 37.500 (41.285) Prec@5 67.969 (66.686) Epoch: [10][5810/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9576 (2.7251) Prec@1 37.500 (41.281) Prec@5 62.500 (66.685) Epoch: [10][5820/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9352 (2.7253) Prec@1 37.500 (41.277) Prec@5 61.719 (66.680) Epoch: [10][5830/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5791 (2.7253) Prec@1 43.750 (41.276) Prec@5 72.656 (66.681) Epoch: [10][5840/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4445 (2.7251) Prec@1 48.438 (41.279) Prec@5 69.531 (66.685) Epoch: [10][5850/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6973 (2.7252) Prec@1 41.406 (41.279) Prec@5 69.531 (66.687) Epoch: [10][5860/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7667 (2.7250) Prec@1 43.750 (41.283) Prec@5 64.062 (66.689) Epoch: [10][5870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0961 (2.7250) Prec@1 30.469 (41.279) Prec@5 64.062 (66.693) Epoch: [10][5880/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.1504 (2.7253) Prec@1 34.375 (41.276) Prec@5 58.594 (66.687) Epoch: [10][5890/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.9829 (2.7254) Prec@1 35.938 (41.272) Prec@5 63.281 (66.684) Epoch: [10][5900/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5640 (2.7255) Prec@1 45.312 (41.271) Prec@5 68.750 (66.683) Epoch: [10][5910/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.8507 (2.7256) Prec@1 38.281 (41.267) Prec@5 64.062 (66.680) Epoch: [10][5920/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7251 (2.7256) Prec@1 47.656 (41.270) Prec@5 68.750 (66.681) Epoch: [10][5930/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3521 (2.7257) Prec@1 48.438 (41.269) Prec@5 75.000 (66.679) Epoch: [10][5940/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5921 (2.7256) Prec@1 43.750 (41.270) Prec@5 71.094 (66.682) Epoch: [10][5950/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9251 (2.7257) Prec@1 37.500 (41.270) Prec@5 60.156 (66.680) Epoch: [10][5960/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5831 (2.7255) Prec@1 45.312 (41.271) Prec@5 69.531 (66.681) Epoch: [10][5970/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8460 (2.7254) Prec@1 33.594 (41.272) Prec@5 66.406 (66.681) Epoch: [10][5980/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4915 (2.7254) Prec@1 46.875 (41.272) Prec@5 67.188 (66.681) Epoch: [10][5990/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.2882 (2.7254) Prec@1 48.438 (41.272) Prec@5 70.312 (66.680) Epoch: [10][6000/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7611 (2.7253) Prec@1 41.406 (41.276) Prec@5 69.531 (66.681) Epoch: [10][6010/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6058 (2.7252) Prec@1 43.750 (41.279) Prec@5 70.312 (66.683) Epoch: [10][6020/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9803 (2.7255) Prec@1 33.594 (41.272) Prec@5 58.594 (66.678) Epoch: [10][6030/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5838 (2.7254) Prec@1 45.312 (41.273) Prec@5 66.406 (66.681) Epoch: [10][6040/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7031 (2.7254) Prec@1 39.844 (41.272) Prec@5 65.625 (66.681) Epoch: [10][6050/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8491 (2.7254) Prec@1 39.844 (41.276) Prec@5 65.625 (66.680) Epoch: [10][6060/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7324 (2.7254) Prec@1 40.625 (41.278) Prec@5 60.938 (66.680) Epoch: [10][6070/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.4397 (2.7252) Prec@1 41.406 (41.280) Prec@5 72.656 (66.682) Epoch: [10][6080/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4286 (2.7252) Prec@1 46.094 (41.278) Prec@5 75.000 (66.680) Epoch: [10][6090/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.3647 (2.7252) Prec@1 46.875 (41.281) Prec@5 71.094 (66.679) Epoch: [10][6100/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6963 (2.7253) Prec@1 39.062 (41.279) Prec@5 73.438 (66.679) Epoch: [10][6110/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6442 (2.7254) Prec@1 39.844 (41.276) Prec@5 66.406 (66.676) Epoch: [10][6120/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8027 (2.7254) Prec@1 36.719 (41.276) Prec@5 64.062 (66.676) Epoch: [10][6130/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4114 (2.7255) Prec@1 42.969 (41.274) Prec@5 67.969 (66.674) Epoch: [10][6140/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4193 (2.7253) Prec@1 41.406 (41.273) Prec@5 71.094 (66.679) Epoch: [10][6150/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4449 (2.7253) Prec@1 49.219 (41.274) Prec@5 74.219 (66.679) Epoch: [10][6160/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6811 (2.7253) Prec@1 39.844 (41.273) Prec@5 67.188 (66.680) Epoch: [10][6170/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6619 (2.7254) Prec@1 37.500 (41.269) Prec@5 70.312 (66.677) Epoch: [10][6180/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9570 (2.7255) Prec@1 39.062 (41.268) Prec@5 60.156 (66.674) Epoch: [10][6190/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0167 (2.7258) Prec@1 35.156 (41.262) Prec@5 59.375 (66.669) Epoch: [10][6200/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8040 (2.7256) Prec@1 34.375 (41.265) Prec@5 67.188 (66.672) Epoch: [10][6210/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.1466 (2.7259) Prec@1 35.156 (41.260) Prec@5 60.156 (66.668) Epoch: [10][6220/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7607 (2.7260) Prec@1 38.281 (41.258) Prec@5 64.844 (66.666) Epoch: [10][6230/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9463 (2.7262) Prec@1 35.938 (41.257) Prec@5 61.719 (66.663) Epoch: [10][6240/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5793 (2.7262) Prec@1 40.625 (41.256) Prec@5 66.406 (66.660) Epoch: [10][6250/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4639 (2.7263) Prec@1 45.312 (41.254) Prec@5 66.406 (66.660) Epoch: [10][6260/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6658 (2.7263) Prec@1 37.500 (41.254) Prec@5 69.531 (66.661) Epoch: [10][6270/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6242 (2.7264) Prec@1 46.094 (41.253) Prec@5 67.969 (66.658) Epoch: [10][6280/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6644 (2.7264) Prec@1 36.719 (41.254) Prec@5 67.969 (66.657) Epoch: [10][6290/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7648 (2.7263) Prec@1 43.750 (41.255) Prec@5 65.625 (66.657) Epoch: [10][6300/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7478 (2.7265) Prec@1 39.844 (41.251) Prec@5 64.062 (66.654) Epoch: [10][6310/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8325 (2.7267) Prec@1 40.625 (41.247) Prec@5 65.625 (66.648) Epoch: [10][6320/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7526 (2.7269) Prec@1 41.406 (41.242) Prec@5 64.844 (66.643) Epoch: [10][6330/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5036 (2.7269) Prec@1 46.875 (41.245) Prec@5 70.312 (66.644) Epoch: [10][6340/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3617 (2.7268) Prec@1 44.531 (41.247) Prec@5 75.781 (66.642) Epoch: [10][6350/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.8001 (2.7269) Prec@1 39.062 (41.243) Prec@5 65.625 (66.642) Epoch: [10][6360/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 3.0241 (2.7270) Prec@1 33.594 (41.240) Prec@5 57.031 (66.639) Epoch: [10][6370/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.1043 (2.7270) Prec@1 32.812 (41.239) Prec@5 59.375 (66.636) Epoch: [10][6380/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7529 (2.7271) Prec@1 40.625 (41.238) Prec@5 61.719 (66.635) Epoch: [10][6390/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4421 (2.7270) Prec@1 43.750 (41.238) Prec@5 72.656 (66.637) Epoch: [10][6400/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8187 (2.7270) Prec@1 39.844 (41.235) Prec@5 65.625 (66.637) Epoch: [10][6410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6248 (2.7269) Prec@1 44.531 (41.240) Prec@5 64.062 (66.639) Epoch: [10][6420/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.5366 (2.7269) Prec@1 46.875 (41.240) Prec@5 67.969 (66.637) Epoch: [10][6430/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5820 (2.7269) Prec@1 46.875 (41.244) Prec@5 71.875 (66.638) Epoch: [10][6440/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7796 (2.7269) Prec@1 41.406 (41.244) Prec@5 67.969 (66.637) Epoch: [10][6450/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8015 (2.7268) Prec@1 38.281 (41.248) Prec@5 67.188 (66.639) Epoch: [10][6460/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6415 (2.7266) Prec@1 42.188 (41.251) Prec@5 66.406 (66.641) Epoch: [10][6470/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8523 (2.7267) Prec@1 39.844 (41.250) Prec@5 65.625 (66.641) Epoch: [10][6480/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4062 (2.7267) Prec@1 48.438 (41.250) Prec@5 74.219 (66.638) Epoch: [10][6490/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4950 (2.7268) Prec@1 43.750 (41.250) Prec@5 69.531 (66.637) Epoch: [10][6500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6065 (2.7267) Prec@1 46.094 (41.253) Prec@5 67.188 (66.637) Epoch: [10][6510/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5841 (2.7267) Prec@1 37.500 (41.254) Prec@5 67.969 (66.641) Epoch: [10][6520/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7522 (2.7267) Prec@1 42.969 (41.254) Prec@5 64.062 (66.639) Epoch: [10][6530/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9278 (2.7266) Prec@1 41.406 (41.255) Prec@5 65.625 (66.641) Epoch: [10][6540/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6078 (2.7265) Prec@1 43.750 (41.259) Prec@5 67.188 (66.641) Epoch: [10][6550/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9672 (2.7265) Prec@1 44.531 (41.259) Prec@5 60.156 (66.640) Epoch: [10][6560/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.9723 (2.7265) Prec@1 35.938 (41.258) Prec@5 60.938 (66.639) Epoch: [10][6570/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9571 (2.7265) Prec@1 34.375 (41.257) Prec@5 58.594 (66.639) Epoch: [10][6580/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8746 (2.7264) Prec@1 37.500 (41.262) Prec@5 61.719 (66.640) Epoch: [10][6590/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.3247 (2.7265) Prec@1 33.594 (41.260) Prec@5 56.250 (66.638) Epoch: [10][6600/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7608 (2.7265) Prec@1 35.156 (41.260) Prec@5 64.062 (66.636) Epoch: [10][6610/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.0366 (2.7266) Prec@1 34.375 (41.259) Prec@5 63.281 (66.636) Epoch: [10][6620/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8572 (2.7265) Prec@1 43.750 (41.260) Prec@5 61.719 (66.635) Epoch: [10][6630/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.3562 (2.7264) Prec@1 43.750 (41.263) Prec@5 73.438 (66.637) Epoch: [10][6640/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4644 (2.7263) Prec@1 46.875 (41.266) Prec@5 72.656 (66.639) Epoch: [10][6650/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7310 (2.7264) Prec@1 40.625 (41.265) Prec@5 61.719 (66.636) Epoch: [10][6660/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6440 (2.7263) Prec@1 39.844 (41.266) Prec@5 70.312 (66.637) Epoch: [10][6670/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 3.3174 (2.7264) Prec@1 32.031 (41.262) Prec@5 58.594 (66.636) Epoch: [10][6680/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6518 (2.7264) Prec@1 42.188 (41.263) Prec@5 67.188 (66.637) Epoch: [10][6690/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8191 (2.7263) Prec@1 41.406 (41.264) Prec@5 62.500 (66.638) Epoch: [10][6700/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5851 (2.7264) Prec@1 40.625 (41.262) Prec@5 68.750 (66.638) Epoch: [10][6710/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8636 (2.7264) Prec@1 38.281 (41.263) Prec@5 63.281 (66.638) Epoch: [10][6720/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4696 (2.7264) Prec@1 42.188 (41.263) Prec@5 73.438 (66.637) Epoch: [10][6730/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5939 (2.7263) Prec@1 41.406 (41.262) Prec@5 68.750 (66.637) Epoch: [10][6740/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8227 (2.7263) Prec@1 42.188 (41.263) Prec@5 64.062 (66.640) Epoch: [10][6750/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8817 (2.7263) Prec@1 37.500 (41.262) Prec@5 63.281 (66.636) Epoch: [10][6760/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7387 (2.7264) Prec@1 42.188 (41.262) Prec@5 66.406 (66.635) Epoch: [10][6770/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9312 (2.7264) Prec@1 39.062 (41.264) Prec@5 67.188 (66.635) Epoch: [10][6780/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6515 (2.7265) Prec@1 41.406 (41.262) Prec@5 69.531 (66.633) Epoch: [10][6790/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8221 (2.7266) Prec@1 35.938 (41.258) Prec@5 64.844 (66.631) Epoch: [10][6800/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5961 (2.7266) Prec@1 42.969 (41.258) Prec@5 68.750 (66.632) Epoch: [10][6810/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7762 (2.7267) Prec@1 43.750 (41.257) Prec@5 65.625 (66.631) Epoch: [10][6820/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4999 (2.7268) Prec@1 46.875 (41.254) Prec@5 66.406 (66.628) Epoch: [10][6830/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6256 (2.7269) Prec@1 40.625 (41.252) Prec@5 64.844 (66.625) Epoch: [10][6840/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5955 (2.7267) Prec@1 47.656 (41.255) Prec@5 65.625 (66.627) Epoch: [10][6850/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6640 (2.7267) Prec@1 46.875 (41.255) Prec@5 68.750 (66.626) Epoch: [10][6860/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7231 (2.7268) Prec@1 48.438 (41.257) Prec@5 69.531 (66.626) Epoch: [10][6870/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5871 (2.7268) Prec@1 44.531 (41.258) Prec@5 70.312 (66.628) Epoch: [10][6880/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7566 (2.7268) Prec@1 39.062 (41.256) Prec@5 66.406 (66.628) Epoch: [10][6890/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6720 (2.7267) Prec@1 44.531 (41.257) Prec@5 68.750 (66.629) Epoch: [10][6900/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8163 (2.7266) Prec@1 40.625 (41.257) Prec@5 64.062 (66.630) Epoch: [10][6910/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8252 (2.7267) Prec@1 39.062 (41.255) Prec@5 64.844 (66.630) Epoch: [10][6920/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5729 (2.7268) Prec@1 44.531 (41.252) Prec@5 66.406 (66.629) Epoch: [10][6930/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8641 (2.7269) Prec@1 38.281 (41.250) Prec@5 60.156 (66.627) Epoch: [10][6940/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6317 (2.7270) Prec@1 45.312 (41.249) Prec@5 65.625 (66.622) Epoch: [10][6950/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.1039 (2.7271) Prec@1 35.938 (41.247) Prec@5 58.594 (66.622) Epoch: [10][6960/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6288 (2.7271) Prec@1 43.750 (41.246) Prec@5 66.406 (66.620) Epoch: [10][6970/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7488 (2.7271) Prec@1 38.281 (41.244) Prec@5 67.969 (66.620) Epoch: [10][6980/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6304 (2.7271) Prec@1 39.844 (41.244) Prec@5 67.969 (66.621) Epoch: [10][6990/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7428 (2.7270) Prec@1 41.406 (41.246) Prec@5 66.406 (66.622) Epoch: [10][7000/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4482 (2.7269) Prec@1 42.188 (41.248) Prec@5 70.312 (66.626) Epoch: [10][7010/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.4564 (2.7267) Prec@1 41.406 (41.249) Prec@5 70.312 (66.627) Epoch: [10][7020/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9360 (2.7269) Prec@1 41.406 (41.247) Prec@5 57.031 (66.624) Epoch: [10][7030/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.1666 (2.7271) Prec@1 28.906 (41.245) Prec@5 57.812 (66.622) Epoch: [10][7040/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7546 (2.7271) Prec@1 40.625 (41.244) Prec@5 66.406 (66.623) Epoch: [10][7050/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6196 (2.7272) Prec@1 46.875 (41.244) Prec@5 67.969 (66.619) Epoch: [10][7060/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6638 (2.7272) Prec@1 39.062 (41.243) Prec@5 65.625 (66.618) Epoch: [10][7070/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6803 (2.7272) Prec@1 39.844 (41.244) Prec@5 68.750 (66.618) Epoch: [10][7080/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7548 (2.7274) Prec@1 42.969 (41.239) Prec@5 69.531 (66.616) Epoch: [10][7090/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.3547 (2.7272) Prec@1 50.000 (41.242) Prec@5 69.531 (66.617) Epoch: [10][7100/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6137 (2.7272) Prec@1 44.531 (41.243) Prec@5 64.062 (66.617) Epoch: [10][7110/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8118 (2.7273) Prec@1 42.188 (41.244) Prec@5 64.062 (66.617) Epoch: [10][7120/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9115 (2.7275) Prec@1 32.812 (41.239) Prec@5 63.281 (66.613) Epoch: [10][7130/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6451 (2.7276) Prec@1 46.875 (41.238) Prec@5 67.188 (66.612) Epoch: [10][7140/10010] Time 0.308 (0.331) Data 0.001 (0.001) Loss 2.7110 (2.7276) Prec@1 42.188 (41.235) Prec@5 66.406 (66.612) Epoch: [10][7150/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7500 (2.7277) Prec@1 42.969 (41.235) Prec@5 67.969 (66.611) Epoch: [10][7160/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8380 (2.7278) Prec@1 39.062 (41.236) Prec@5 64.062 (66.611) Epoch: [10][7170/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8070 (2.7280) Prec@1 39.844 (41.234) Prec@5 63.281 (66.607) Epoch: [10][7180/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7383 (2.7280) Prec@1 38.281 (41.232) Prec@5 64.062 (66.606) Epoch: [10][7190/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6363 (2.7280) Prec@1 43.750 (41.232) Prec@5 70.312 (66.607) Epoch: [10][7200/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9252 (2.7280) Prec@1 44.531 (41.234) Prec@5 64.062 (66.607) Epoch: [10][7210/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8395 (2.7281) Prec@1 41.406 (41.233) Prec@5 62.500 (66.604) Epoch: [10][7220/10010] Time 0.352 (0.331) Data 0.000 (0.001) Loss 2.5009 (2.7280) Prec@1 46.875 (41.232) Prec@5 67.969 (66.607) Epoch: [10][7230/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8580 (2.7280) Prec@1 39.844 (41.233) Prec@5 65.625 (66.606) Epoch: [10][7240/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6596 (2.7281) Prec@1 42.969 (41.230) Prec@5 67.969 (66.607) Epoch: [10][7250/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6072 (2.7280) Prec@1 42.969 (41.230) Prec@5 69.531 (66.609) Epoch: [10][7260/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5073 (2.7280) Prec@1 48.438 (41.232) Prec@5 69.531 (66.609) Epoch: [10][7270/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8942 (2.7280) Prec@1 36.719 (41.231) Prec@5 62.500 (66.608) Epoch: [10][7280/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5755 (2.7279) Prec@1 44.531 (41.234) Prec@5 69.531 (66.609) Epoch: [10][7290/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6890 (2.7278) Prec@1 44.531 (41.238) Prec@5 66.406 (66.611) Epoch: [10][7300/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.9498 (2.7277) Prec@1 35.938 (41.238) Prec@5 64.062 (66.610) Epoch: [10][7310/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1156 (2.7278) Prec@1 36.719 (41.238) Prec@5 57.812 (66.608) Epoch: [10][7320/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8304 (2.7278) Prec@1 39.062 (41.238) Prec@5 65.625 (66.609) Epoch: [10][7330/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6252 (2.7279) Prec@1 43.750 (41.238) Prec@5 70.312 (66.609) Epoch: [10][7340/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9226 (2.7279) Prec@1 42.969 (41.237) Prec@5 62.500 (66.609) Epoch: [10][7350/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6205 (2.7278) Prec@1 47.656 (41.239) Prec@5 65.625 (66.612) Epoch: [10][7360/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7290 (2.7277) Prec@1 39.062 (41.240) Prec@5 69.531 (66.613) Epoch: [10][7370/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7834 (2.7277) Prec@1 43.750 (41.241) Prec@5 63.281 (66.613) Epoch: [10][7380/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4435 (2.7276) Prec@1 39.062 (41.242) Prec@5 67.188 (66.612) Epoch: [10][7390/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7059 (2.7277) Prec@1 38.281 (41.240) Prec@5 69.531 (66.611) Epoch: [10][7400/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8008 (2.7274) Prec@1 45.312 (41.243) Prec@5 64.844 (66.615) Epoch: [10][7410/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.8900 (2.7275) Prec@1 39.844 (41.244) Prec@5 64.062 (66.615) Epoch: [10][7420/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.6187 (2.7275) Prec@1 36.719 (41.240) Prec@5 67.969 (66.615) Epoch: [10][7430/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.8075 (2.7276) Prec@1 42.188 (41.239) Prec@5 64.844 (66.613) Epoch: [10][7440/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.3254 (2.7276) Prec@1 48.438 (41.242) Prec@5 75.781 (66.613) Epoch: [10][7450/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.7663 (2.7277) Prec@1 41.406 (41.242) Prec@5 69.531 (66.611) Epoch: [10][7460/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4834 (2.7277) Prec@1 42.969 (41.241) Prec@5 73.438 (66.611) Epoch: [10][7470/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3088 (2.7275) Prec@1 51.562 (41.245) Prec@5 70.312 (66.611) Epoch: [10][7480/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7590 (2.7275) Prec@1 42.188 (41.246) Prec@5 67.188 (66.613) Epoch: [10][7490/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8064 (2.7276) Prec@1 40.625 (41.246) Prec@5 67.969 (66.613) Epoch: [10][7500/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.8321 (2.7278) Prec@1 42.969 (41.245) Prec@5 66.406 (66.611) Epoch: [10][7510/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0106 (2.7278) Prec@1 33.594 (41.245) Prec@5 63.281 (66.610) Epoch: [10][7520/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6580 (2.7278) Prec@1 38.281 (41.245) Prec@5 66.406 (66.611) Epoch: [10][7530/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8609 (2.7278) Prec@1 42.188 (41.246) Prec@5 60.938 (66.612) Epoch: [10][7540/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8127 (2.7277) Prec@1 38.281 (41.248) Prec@5 62.500 (66.614) Epoch: [10][7550/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6221 (2.7276) Prec@1 45.312 (41.249) Prec@5 67.969 (66.616) Epoch: [10][7560/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6335 (2.7276) Prec@1 42.969 (41.246) Prec@5 70.312 (66.615) Epoch: [10][7570/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6541 (2.7276) Prec@1 42.969 (41.245) Prec@5 69.531 (66.614) Epoch: [10][7580/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6962 (2.7276) Prec@1 39.062 (41.246) Prec@5 63.281 (66.614) Epoch: [10][7590/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6910 (2.7275) Prec@1 41.406 (41.249) Prec@5 66.406 (66.615) Epoch: [10][7600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4930 (2.7275) Prec@1 53.906 (41.249) Prec@5 71.875 (66.615) Epoch: [10][7610/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0181 (2.7276) Prec@1 42.188 (41.247) Prec@5 62.500 (66.613) Epoch: [10][7620/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5191 (2.7277) Prec@1 44.531 (41.245) Prec@5 67.969 (66.612) Epoch: [10][7630/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9796 (2.7276) Prec@1 35.938 (41.246) Prec@5 60.938 (66.611) Epoch: [10][7640/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8533 (2.7277) Prec@1 37.500 (41.246) Prec@5 60.156 (66.609) Epoch: [10][7650/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7113 (2.7278) Prec@1 41.406 (41.245) Prec@5 64.062 (66.607) Epoch: [10][7660/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6445 (2.7277) Prec@1 38.281 (41.245) Prec@5 68.750 (66.608) Epoch: [10][7670/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4637 (2.7275) Prec@1 50.000 (41.249) Prec@5 72.656 (66.611) Epoch: [10][7680/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9386 (2.7275) Prec@1 42.188 (41.250) Prec@5 63.281 (66.611) Epoch: [10][7690/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5951 (2.7275) Prec@1 43.750 (41.249) Prec@5 68.750 (66.610) Epoch: [10][7700/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8604 (2.7276) Prec@1 41.406 (41.247) Prec@5 62.500 (66.609) Epoch: [10][7710/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7801 (2.7275) Prec@1 39.844 (41.245) Prec@5 64.844 (66.610) Epoch: [10][7720/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7023 (2.7275) Prec@1 41.406 (41.245) Prec@5 64.062 (66.609) Epoch: [10][7730/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4032 (2.7275) Prec@1 46.875 (41.246) Prec@5 68.750 (66.607) Epoch: [10][7740/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6899 (2.7274) Prec@1 37.500 (41.249) Prec@5 68.750 (66.608) Epoch: [10][7750/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6278 (2.7274) Prec@1 44.531 (41.250) Prec@5 69.531 (66.609) Epoch: [10][7760/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7107 (2.7274) Prec@1 48.438 (41.250) Prec@5 71.875 (66.609) Epoch: [10][7770/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7247 (2.7273) Prec@1 42.969 (41.250) Prec@5 66.406 (66.610) Epoch: [10][7780/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9253 (2.7273) Prec@1 34.375 (41.252) Prec@5 62.500 (66.611) Epoch: [10][7790/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7969 (2.7273) Prec@1 42.969 (41.253) Prec@5 67.188 (66.611) Epoch: [10][7800/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4870 (2.7272) Prec@1 41.406 (41.254) Prec@5 71.875 (66.615) Epoch: [10][7810/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7504 (2.7271) Prec@1 35.938 (41.251) Prec@5 70.312 (66.616) Epoch: [10][7820/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.8941 (2.7273) Prec@1 35.938 (41.252) Prec@5 65.625 (66.614) Epoch: [10][7830/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6123 (2.7274) Prec@1 42.188 (41.250) Prec@5 65.625 (66.613) Epoch: [10][7840/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5911 (2.7273) Prec@1 43.750 (41.253) Prec@5 71.875 (66.616) Epoch: [10][7850/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8690 (2.7274) Prec@1 38.281 (41.254) Prec@5 61.719 (66.613) Epoch: [10][7860/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9047 (2.7273) Prec@1 32.812 (41.254) Prec@5 63.281 (66.614) Epoch: [10][7870/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.7821 (2.7275) Prec@1 45.312 (41.253) Prec@5 69.531 (66.611) Epoch: [10][7880/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6973 (2.7274) Prec@1 39.062 (41.253) Prec@5 64.844 (66.613) Epoch: [10][7890/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6971 (2.7274) Prec@1 38.281 (41.252) Prec@5 72.656 (66.615) Epoch: [10][7900/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7799 (2.7273) Prec@1 36.719 (41.254) Prec@5 67.969 (66.616) Epoch: [10][7910/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9034 (2.7274) Prec@1 39.062 (41.254) Prec@5 64.062 (66.613) Epoch: [10][7920/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4486 (2.7274) Prec@1 46.094 (41.252) Prec@5 71.094 (66.613) Epoch: [10][7930/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5934 (2.7273) Prec@1 46.875 (41.255) Prec@5 71.094 (66.615) Epoch: [10][7940/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5926 (2.7274) Prec@1 47.656 (41.257) Prec@5 68.750 (66.616) Epoch: [10][7950/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5520 (2.7275) Prec@1 46.875 (41.256) Prec@5 70.312 (66.614) Epoch: [10][7960/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6509 (2.7275) Prec@1 39.844 (41.256) Prec@5 67.969 (66.613) Epoch: [10][7970/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7181 (2.7274) Prec@1 42.188 (41.258) Prec@5 66.406 (66.616) Epoch: [10][7980/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8139 (2.7275) Prec@1 41.406 (41.254) Prec@5 64.062 (66.613) Epoch: [10][7990/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8361 (2.7274) Prec@1 34.375 (41.255) Prec@5 59.375 (66.614) Epoch: [10][8000/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7803 (2.7274) Prec@1 41.406 (41.255) Prec@5 67.188 (66.613) Epoch: [10][8010/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7242 (2.7273) Prec@1 38.281 (41.255) Prec@5 64.844 (66.613) Epoch: [10][8020/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6893 (2.7272) Prec@1 40.625 (41.258) Prec@5 67.188 (66.615) Epoch: [10][8030/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9428 (2.7274) Prec@1 36.719 (41.254) Prec@5 60.156 (66.612) Epoch: [10][8040/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.3532 (2.7272) Prec@1 49.219 (41.258) Prec@5 73.438 (66.616) Epoch: [10][8050/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0806 (2.7272) Prec@1 34.375 (41.256) Prec@5 59.375 (66.614) Epoch: [10][8060/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8509 (2.7274) Prec@1 40.625 (41.257) Prec@5 63.281 (66.612) Epoch: [10][8070/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6891 (2.7272) Prec@1 48.438 (41.259) Prec@5 68.750 (66.614) Epoch: [10][8080/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9284 (2.7273) Prec@1 34.375 (41.259) Prec@5 64.062 (66.613) Epoch: [10][8090/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4777 (2.7272) Prec@1 47.656 (41.260) Prec@5 70.312 (66.615) Epoch: [10][8100/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8571 (2.7272) Prec@1 34.375 (41.259) Prec@5 64.062 (66.615) Epoch: [10][8110/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6741 (2.7273) Prec@1 42.188 (41.258) Prec@5 64.844 (66.614) Epoch: [10][8120/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9185 (2.7273) Prec@1 32.812 (41.258) Prec@5 64.062 (66.612) Epoch: [10][8130/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0942 (2.7274) Prec@1 37.500 (41.256) Prec@5 62.500 (66.611) Epoch: [10][8140/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5823 (2.7275) Prec@1 40.625 (41.254) Prec@5 68.750 (66.611) Epoch: [10][8150/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.5540 (2.7274) Prec@1 42.188 (41.255) Prec@5 65.625 (66.614) Epoch: [10][8160/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6023 (2.7274) Prec@1 41.406 (41.255) Prec@5 67.969 (66.614) Epoch: [10][8170/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.6366 (2.7273) Prec@1 43.750 (41.255) Prec@5 65.625 (66.614) Epoch: [10][8180/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.2178 (2.7272) Prec@1 54.688 (41.257) Prec@5 75.781 (66.614) Epoch: [10][8190/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6513 (2.7271) Prec@1 46.094 (41.259) Prec@5 68.750 (66.615) Epoch: [10][8200/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8134 (2.7271) Prec@1 39.062 (41.259) Prec@5 64.844 (66.615) Epoch: [10][8210/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.3205 (2.7271) Prec@1 46.875 (41.261) Prec@5 73.438 (66.615) Epoch: [10][8220/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7986 (2.7271) Prec@1 40.625 (41.261) Prec@5 65.625 (66.613) Epoch: [10][8230/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6223 (2.7272) Prec@1 42.188 (41.261) Prec@5 66.406 (66.611) Epoch: [10][8240/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.9448 (2.7273) Prec@1 34.375 (41.258) Prec@5 60.938 (66.610) Epoch: [10][8250/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6846 (2.7274) Prec@1 48.438 (41.259) Prec@5 64.844 (66.610) Epoch: [10][8260/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9901 (2.7275) Prec@1 35.156 (41.256) Prec@5 66.406 (66.609) Epoch: [10][8270/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8138 (2.7274) Prec@1 37.500 (41.256) Prec@5 64.844 (66.611) Epoch: [10][8280/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6903 (2.7275) Prec@1 41.406 (41.256) Prec@5 71.094 (66.609) Epoch: [10][8290/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5543 (2.7274) Prec@1 54.688 (41.258) Prec@5 71.875 (66.610) Epoch: [10][8300/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7638 (2.7274) Prec@1 40.625 (41.260) Prec@5 66.406 (66.610) Epoch: [10][8310/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6967 (2.7274) Prec@1 42.969 (41.260) Prec@5 62.500 (66.610) Epoch: [10][8320/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7342 (2.7273) Prec@1 46.094 (41.262) Prec@5 67.969 (66.611) Epoch: [10][8330/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9609 (2.7273) Prec@1 36.719 (41.263) Prec@5 63.281 (66.611) Epoch: [10][8340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9034 (2.7274) Prec@1 41.406 (41.262) Prec@5 67.188 (66.609) Epoch: [10][8350/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6936 (2.7273) Prec@1 37.500 (41.264) Prec@5 66.406 (66.611) Epoch: [10][8360/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.0679 (2.7274) Prec@1 39.844 (41.262) Prec@5 61.719 (66.609) Epoch: [10][8370/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0008 (2.7274) Prec@1 37.500 (41.264) Prec@5 60.938 (66.609) Epoch: [10][8380/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5462 (2.7274) Prec@1 48.438 (41.264) Prec@5 67.969 (66.608) Epoch: [10][8390/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7726 (2.7274) Prec@1 34.375 (41.262) Prec@5 67.188 (66.608) Epoch: [10][8400/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4442 (2.7275) Prec@1 46.094 (41.263) Prec@5 73.438 (66.606) Epoch: [10][8410/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8573 (2.7274) Prec@1 38.281 (41.263) Prec@5 64.844 (66.608) Epoch: [10][8420/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4450 (2.7274) Prec@1 44.531 (41.264) Prec@5 71.875 (66.608) Epoch: [10][8430/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8425 (2.7274) Prec@1 34.375 (41.261) Prec@5 62.500 (66.606) Epoch: [10][8440/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6890 (2.7273) Prec@1 41.406 (41.262) Prec@5 68.750 (66.607) Epoch: [10][8450/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4547 (2.7274) Prec@1 46.094 (41.259) Prec@5 68.750 (66.607) Epoch: [10][8460/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6639 (2.7274) Prec@1 37.500 (41.257) Prec@5 67.969 (66.605) Epoch: [10][8470/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6053 (2.7275) Prec@1 42.188 (41.254) Prec@5 67.969 (66.604) Epoch: [10][8480/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7243 (2.7276) Prec@1 35.156 (41.251) Prec@5 65.625 (66.602) Epoch: [10][8490/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.2083 (2.7277) Prec@1 33.594 (41.251) Prec@5 59.375 (66.601) Epoch: [10][8500/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0875 (2.7278) Prec@1 35.156 (41.248) Prec@5 60.156 (66.598) Epoch: [10][8510/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6334 (2.7277) Prec@1 41.406 (41.250) Prec@5 67.969 (66.600) Epoch: [10][8520/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6137 (2.7276) Prec@1 49.219 (41.252) Prec@5 71.094 (66.601) Epoch: [10][8530/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6717 (2.7276) Prec@1 45.312 (41.254) Prec@5 65.625 (66.599) Epoch: [10][8540/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8184 (2.7276) Prec@1 38.281 (41.252) Prec@5 60.938 (66.598) Epoch: [10][8550/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8040 (2.7276) Prec@1 39.844 (41.253) Prec@5 66.406 (66.597) Epoch: [10][8560/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5335 (2.7277) Prec@1 44.531 (41.252) Prec@5 70.312 (66.596) Epoch: [10][8570/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0174 (2.7277) Prec@1 40.625 (41.251) Prec@5 58.594 (66.594) Epoch: [10][8580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5594 (2.7276) Prec@1 45.312 (41.255) Prec@5 67.969 (66.598) Epoch: [10][8590/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5803 (2.7277) Prec@1 41.406 (41.254) Prec@5 69.531 (66.597) Epoch: [10][8600/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8005 (2.7276) Prec@1 37.500 (41.255) Prec@5 64.844 (66.597) Epoch: [10][8610/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8562 (2.7275) Prec@1 37.500 (41.256) Prec@5 61.719 (66.598) Epoch: [10][8620/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8233 (2.7275) Prec@1 39.844 (41.256) Prec@5 65.625 (66.599) Epoch: [10][8630/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.1382 (2.7274) Prec@1 41.406 (41.257) Prec@5 62.500 (66.600) Epoch: [10][8640/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3833 (2.7275) Prec@1 43.750 (41.255) Prec@5 72.656 (66.600) Epoch: [10][8650/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8708 (2.7274) Prec@1 34.375 (41.257) Prec@5 61.719 (66.601) Epoch: [10][8660/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9201 (2.7275) Prec@1 40.625 (41.256) Prec@5 63.281 (66.600) Epoch: [10][8670/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8731 (2.7276) Prec@1 44.531 (41.255) Prec@5 67.969 (66.599) Epoch: [10][8680/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9519 (2.7277) Prec@1 37.500 (41.255) Prec@5 62.500 (66.600) Epoch: [10][8690/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9965 (2.7277) Prec@1 38.281 (41.256) Prec@5 61.719 (66.598) Epoch: [10][8700/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.8320 (2.7276) Prec@1 45.312 (41.257) Prec@5 68.750 (66.598) Epoch: [10][8710/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7425 (2.7275) Prec@1 42.969 (41.258) Prec@5 66.406 (66.600) Epoch: [10][8720/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.5117 (2.7275) Prec@1 43.750 (41.258) Prec@5 68.750 (66.599) Epoch: [10][8730/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5839 (2.7274) Prec@1 46.875 (41.260) Prec@5 69.531 (66.603) Epoch: [10][8740/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7958 (2.7273) Prec@1 39.062 (41.258) Prec@5 62.500 (66.604) Epoch: [10][8750/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7565 (2.7273) Prec@1 42.188 (41.260) Prec@5 66.406 (66.604) Epoch: [10][8760/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7397 (2.7272) Prec@1 40.625 (41.259) Prec@5 72.656 (66.606) Epoch: [10][8770/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7116 (2.7273) Prec@1 39.062 (41.257) Prec@5 61.719 (66.603) Epoch: [10][8780/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5534 (2.7273) Prec@1 45.312 (41.258) Prec@5 71.094 (66.604) Epoch: [10][8790/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.4269 (2.7273) Prec@1 46.094 (41.259) Prec@5 70.312 (66.603) Epoch: [10][8800/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.1676 (2.7273) Prec@1 39.844 (41.261) Prec@5 58.594 (66.602) Epoch: [10][8810/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8468 (2.7272) Prec@1 35.938 (41.262) Prec@5 62.500 (66.604) Epoch: [10][8820/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5904 (2.7272) Prec@1 42.969 (41.262) Prec@5 62.500 (66.602) Epoch: [10][8830/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8976 (2.7272) Prec@1 39.062 (41.264) Prec@5 64.062 (66.601) Epoch: [10][8840/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3320 (2.7271) Prec@1 45.312 (41.266) Prec@5 75.000 (66.603) Epoch: [10][8850/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7132 (2.7271) Prec@1 41.406 (41.265) Prec@5 64.844 (66.602) Epoch: [10][8860/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8121 (2.7272) Prec@1 37.500 (41.264) Prec@5 66.406 (66.600) Epoch: [10][8870/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6539 (2.7271) Prec@1 46.094 (41.266) Prec@5 67.188 (66.601) Epoch: [10][8880/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6065 (2.7270) Prec@1 41.406 (41.268) Prec@5 63.281 (66.601) Epoch: [10][8890/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6870 (2.7271) Prec@1 39.844 (41.267) Prec@5 68.750 (66.601) Epoch: [10][8900/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6305 (2.7271) Prec@1 42.969 (41.268) Prec@5 68.750 (66.602) Epoch: [10][8910/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.2759 (2.7271) Prec@1 46.875 (41.267) Prec@5 75.781 (66.602) Epoch: [10][8920/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8603 (2.7272) Prec@1 38.281 (41.265) Prec@5 65.625 (66.602) Epoch: [10][8930/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5425 (2.7272) Prec@1 45.312 (41.266) Prec@5 71.875 (66.602) Epoch: [10][8940/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.1746 (2.7271) Prec@1 35.156 (41.266) Prec@5 58.594 (66.603) Epoch: [10][8950/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6244 (2.7271) Prec@1 40.625 (41.267) Prec@5 68.750 (66.603) Epoch: [10][8960/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5028 (2.7270) Prec@1 45.312 (41.269) Prec@5 75.000 (66.605) Epoch: [10][8970/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3676 (2.7271) Prec@1 43.750 (41.267) Prec@5 70.312 (66.603) Epoch: [10][8980/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.0504 (2.7270) Prec@1 38.281 (41.266) Prec@5 61.719 (66.603) Epoch: [10][8990/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0308 (2.7272) Prec@1 33.594 (41.264) Prec@5 61.719 (66.600) Epoch: [10][9000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5729 (2.7272) Prec@1 41.406 (41.263) Prec@5 69.531 (66.600) Epoch: [10][9010/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8505 (2.7272) Prec@1 39.062 (41.262) Prec@5 60.156 (66.598) Epoch: [10][9020/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6603 (2.7271) Prec@1 46.875 (41.263) Prec@5 69.531 (66.600) Epoch: [10][9030/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6083 (2.7271) Prec@1 42.188 (41.264) Prec@5 68.750 (66.599) Epoch: [10][9040/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6516 (2.7270) Prec@1 39.062 (41.267) Prec@5 68.750 (66.602) Epoch: [10][9050/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7501 (2.7270) Prec@1 41.406 (41.267) Prec@5 61.719 (66.604) Epoch: [10][9060/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.9361 (2.7269) Prec@1 41.406 (41.268) Prec@5 63.281 (66.604) Epoch: [10][9070/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6202 (2.7269) Prec@1 47.656 (41.270) Prec@5 71.094 (66.604) Epoch: [10][9080/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5971 (2.7268) Prec@1 42.969 (41.268) Prec@5 64.844 (66.605) Epoch: [10][9090/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8801 (2.7268) Prec@1 35.156 (41.269) Prec@5 68.750 (66.604) Epoch: [10][9100/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9500 (2.7268) Prec@1 37.500 (41.269) Prec@5 61.719 (66.604) Epoch: [10][9110/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4072 (2.7268) Prec@1 47.656 (41.271) Prec@5 71.094 (66.606) Epoch: [10][9120/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.3621 (2.7266) Prec@1 46.875 (41.274) Prec@5 72.656 (66.609) Epoch: [10][9130/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7027 (2.7265) Prec@1 42.188 (41.274) Prec@5 66.406 (66.610) /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: [10][9140/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8362 (2.7265) Prec@1 40.625 (41.275) Prec@5 64.062 (66.609) Epoch: [10][9150/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7060 (2.7265) Prec@1 38.281 (41.276) Prec@5 69.531 (66.611) Epoch: [10][9160/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.1989 (2.7265) Prec@1 32.812 (41.275) Prec@5 53.125 (66.611) Epoch: [10][9170/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6329 (2.7264) Prec@1 44.531 (41.276) Prec@5 67.969 (66.613) Epoch: [10][9180/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7402 (2.7264) Prec@1 38.281 (41.278) Prec@5 66.406 (66.612) Epoch: [10][9190/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7840 (2.7264) Prec@1 42.188 (41.279) Prec@5 61.719 (66.613) Epoch: [10][9200/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8585 (2.7265) Prec@1 40.625 (41.276) Prec@5 64.844 (66.613) Epoch: [10][9210/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9665 (2.7265) Prec@1 36.719 (41.276) Prec@5 59.375 (66.612) Epoch: [10][9220/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.4693 (2.7265) Prec@1 47.656 (41.276) Prec@5 74.219 (66.612) Epoch: [10][9230/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7011 (2.7265) Prec@1 40.625 (41.277) Prec@5 62.500 (66.613) Epoch: [10][9240/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6652 (2.7264) Prec@1 52.344 (41.278) Prec@5 68.750 (66.615) Epoch: [10][9250/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9574 (2.7264) Prec@1 39.844 (41.279) Prec@5 61.719 (66.616) Epoch: [10][9260/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6870 (2.7265) Prec@1 41.406 (41.278) Prec@5 66.406 (66.615) Epoch: [10][9270/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.3292 (2.7266) Prec@1 44.531 (41.275) Prec@5 72.656 (66.612) Epoch: [10][9280/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.1419 (2.7266) Prec@1 36.719 (41.276) Prec@5 60.938 (66.612) Epoch: [10][9290/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6204 (2.7266) Prec@1 42.969 (41.276) Prec@5 71.094 (66.613) Epoch: [10][9300/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5247 (2.7265) Prec@1 42.969 (41.277) Prec@5 75.000 (66.613) Epoch: [10][9310/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9157 (2.7267) Prec@1 37.500 (41.274) Prec@5 64.844 (66.611) Epoch: [10][9320/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7626 (2.7266) Prec@1 42.188 (41.272) Prec@5 69.531 (66.613) Epoch: [10][9330/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9137 (2.7267) Prec@1 38.281 (41.270) Prec@5 58.594 (66.610) Epoch: [10][9340/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5609 (2.7267) Prec@1 40.625 (41.270) Prec@5 65.625 (66.609) Epoch: [10][9350/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.9884 (2.7268) Prec@1 36.719 (41.267) Prec@5 60.938 (66.608) Epoch: [10][9360/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5999 (2.7268) Prec@1 40.625 (41.266) Prec@5 71.875 (66.608) Epoch: [10][9370/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.0545 (2.7267) Prec@1 41.406 (41.266) Prec@5 61.719 (66.610) Epoch: [10][9380/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0559 (2.7266) Prec@1 33.594 (41.268) Prec@5 57.812 (66.611) Epoch: [10][9390/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.0229 (2.7268) Prec@1 38.281 (41.265) Prec@5 60.938 (66.608) Epoch: [10][9400/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7043 (2.7268) Prec@1 41.406 (41.266) Prec@5 69.531 (66.609) Epoch: [10][9410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8774 (2.7268) Prec@1 33.594 (41.265) Prec@5 66.406 (66.608) Epoch: [10][9420/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5438 (2.7267) Prec@1 46.094 (41.267) Prec@5 66.406 (66.612) Epoch: [10][9430/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8255 (2.7268) Prec@1 39.844 (41.264) Prec@5 60.938 (66.611) Epoch: [10][9440/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6583 (2.7269) Prec@1 39.844 (41.262) Prec@5 70.312 (66.610) Epoch: [10][9450/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5494 (2.7268) Prec@1 43.750 (41.264) Prec@5 67.188 (66.611) Epoch: [10][9460/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4519 (2.7267) Prec@1 44.531 (41.266) Prec@5 71.094 (66.612) Epoch: [10][9470/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7205 (2.7268) Prec@1 39.844 (41.264) Prec@5 64.844 (66.610) Epoch: [10][9480/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.0882 (2.7269) Prec@1 33.594 (41.262) Prec@5 60.938 (66.608) Epoch: [10][9490/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8606 (2.7268) Prec@1 35.156 (41.263) Prec@5 63.281 (66.609) Epoch: [10][9500/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5145 (2.7269) Prec@1 46.875 (41.260) Prec@5 71.875 (66.608) Epoch: [10][9510/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5753 (2.7269) Prec@1 43.750 (41.260) Prec@5 68.750 (66.607) Epoch: [10][9520/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5351 (2.7269) Prec@1 40.625 (41.260) Prec@5 70.312 (66.607) Epoch: [10][9530/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.9532 (2.7270) Prec@1 38.281 (41.256) Prec@5 60.938 (66.606) Epoch: [10][9540/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6938 (2.7270) Prec@1 37.500 (41.256) Prec@5 67.188 (66.605) Epoch: [10][9550/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9587 (2.7270) Prec@1 44.531 (41.257) Prec@5 64.062 (66.606) Epoch: [10][9560/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7403 (2.7268) Prec@1 42.188 (41.262) Prec@5 66.406 (66.609) Epoch: [10][9570/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8344 (2.7270) Prec@1 38.281 (41.259) Prec@5 60.156 (66.605) Epoch: [10][9580/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7818 (2.7270) Prec@1 35.156 (41.258) Prec@5 66.406 (66.604) Epoch: [10][9590/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5563 (2.7269) Prec@1 46.094 (41.262) Prec@5 69.531 (66.606) Epoch: [10][9600/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6768 (2.7268) Prec@1 48.438 (41.264) Prec@5 66.406 (66.606) Epoch: [10][9610/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1518 (2.7268) Prec@1 34.375 (41.265) Prec@5 53.125 (66.605) Epoch: [10][9620/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.3784 (2.7267) Prec@1 44.531 (41.265) Prec@5 69.531 (66.607) Epoch: [10][9630/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7212 (2.7266) Prec@1 44.531 (41.266) Prec@5 69.531 (66.608) Epoch: [10][9640/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0561 (2.7266) Prec@1 32.812 (41.264) Prec@5 60.938 (66.608) Epoch: [10][9650/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7847 (2.7267) Prec@1 42.969 (41.263) Prec@5 68.750 (66.609) Epoch: [10][9660/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9395 (2.7268) Prec@1 35.938 (41.261) Prec@5 64.844 (66.608) Epoch: [10][9670/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8054 (2.7268) Prec@1 31.250 (41.260) Prec@5 69.531 (66.607) Epoch: [10][9680/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6094 (2.7267) Prec@1 45.312 (41.261) Prec@5 63.281 (66.607) Epoch: [10][9690/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8069 (2.7267) Prec@1 43.750 (41.263) Prec@5 66.406 (66.608) Epoch: [10][9700/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6455 (2.7267) Prec@1 40.625 (41.263) Prec@5 67.188 (66.608) Epoch: [10][9710/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6559 (2.7267) Prec@1 41.406 (41.263) Prec@5 69.531 (66.609) Epoch: [10][9720/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7791 (2.7268) Prec@1 38.281 (41.263) Prec@5 67.188 (66.606) Epoch: [10][9730/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7206 (2.7268) Prec@1 42.969 (41.264) Prec@5 67.969 (66.607) Epoch: [10][9740/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.6598 (2.7268) Prec@1 40.625 (41.264) Prec@5 67.969 (66.608) Epoch: [10][9750/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7130 (2.7269) Prec@1 40.625 (41.263) Prec@5 64.062 (66.605) Epoch: [10][9760/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9177 (2.7270) Prec@1 37.500 (41.263) Prec@5 64.062 (66.604) Epoch: [10][9770/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6887 (2.7270) Prec@1 39.062 (41.263) Prec@5 65.625 (66.604) Epoch: [10][9780/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8782 (2.7271) Prec@1 37.500 (41.263) Prec@5 69.531 (66.603) Epoch: [10][9790/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7629 (2.7270) Prec@1 41.406 (41.264) Prec@5 67.969 (66.605) Epoch: [10][9800/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2561 (2.7270) Prec@1 46.875 (41.265) Prec@5 76.562 (66.605) Epoch: [10][9810/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.3215 (2.7270) Prec@1 53.125 (41.266) Prec@5 69.531 (66.604) Epoch: [10][9820/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5912 (2.7269) Prec@1 35.938 (41.267) Prec@5 72.656 (66.606) Epoch: [10][9830/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7133 (2.7269) Prec@1 43.750 (41.268) Prec@5 65.625 (66.606) Epoch: [10][9840/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6922 (2.7268) Prec@1 39.844 (41.271) Prec@5 67.969 (66.607) Epoch: [10][9850/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6010 (2.7267) Prec@1 48.438 (41.273) Prec@5 67.188 (66.609) Epoch: [10][9860/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5122 (2.7267) Prec@1 48.438 (41.273) Prec@5 70.312 (66.610) Epoch: [10][9870/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6807 (2.7266) Prec@1 39.844 (41.276) Prec@5 67.188 (66.612) Epoch: [10][9880/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4815 (2.7267) Prec@1 43.750 (41.275) Prec@5 67.969 (66.610) Epoch: [10][9890/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5328 (2.7267) Prec@1 44.531 (41.275) Prec@5 67.969 (66.610) Epoch: [10][9900/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7354 (2.7267) Prec@1 39.844 (41.275) Prec@5 66.406 (66.611) Epoch: [10][9910/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.2396 (2.7267) Prec@1 36.719 (41.275) Prec@5 61.719 (66.611) Epoch: [10][9920/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4995 (2.7268) Prec@1 37.500 (41.274) Prec@5 68.750 (66.610) Epoch: [10][9930/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6397 (2.7268) Prec@1 42.188 (41.273) Prec@5 66.406 (66.610) Epoch: [10][9940/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6199 (2.7268) Prec@1 46.094 (41.274) Prec@5 70.312 (66.611) Epoch: [10][9950/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0162 (2.7268) Prec@1 37.500 (41.274) Prec@5 62.500 (66.612) Epoch: [10][9960/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4551 (2.7267) Prec@1 46.875 (41.277) Prec@5 69.531 (66.613) Epoch: [10][9970/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9031 (2.7266) Prec@1 35.938 (41.277) Prec@5 63.281 (66.614) Epoch: [10][9980/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5707 (2.7267) Prec@1 46.875 (41.278) Prec@5 68.750 (66.613) Epoch: [10][9990/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5660 (2.7267) Prec@1 46.094 (41.278) Prec@5 69.531 (66.612) Epoch: [10][10000/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5964 (2.7267) Prec@1 45.312 (41.278) Prec@5 66.406 (66.612) Test: [0/391] Time 1.537 (1.537) Loss 1.1605 (1.1605) Prec@1 71.094 (71.094) Prec@5 88.281 (88.281) Test: [10/391] Time 0.108 (0.240) Loss 1.7677 (1.5689) Prec@1 59.375 (63.281) Prec@5 80.469 (84.659) Test: [20/391] Time 0.107 (0.177) Loss 1.9808 (1.8125) Prec@1 56.250 (57.329) Prec@5 79.688 (81.473) Test: [30/391] Time 0.106 (0.157) Loss 3.4707 (2.1054) Prec@1 31.250 (51.361) Prec@5 54.688 (77.495) Test: [40/391] Time 0.110 (0.144) Loss 1.8142 (1.9771) Prec@1 60.156 (54.707) Prec@5 77.344 (78.849) Test: [50/391] Time 0.113 (0.138) Loss 2.0090 (2.0373) Prec@1 45.312 (53.814) Prec@5 77.344 (77.819) Test: [60/391] Time 0.107 (0.133) Loss 2.4106 (1.9706) Prec@1 42.969 (55.341) Prec@5 73.438 (78.714) Test: [70/391] Time 0.105 (0.129) Loss 1.7604 (1.9779) Prec@1 51.562 (54.247) Prec@5 84.375 (78.906) Test: [80/391] Time 0.110 (0.127) Loss 2.1576 (2.0191) Prec@1 44.531 (52.305) Prec@5 77.344 (78.414) Test: [90/391] Time 0.107 (0.126) Loss 1.8481 (2.0202) Prec@1 35.156 (51.777) Prec@5 85.156 (78.580) Test: [100/391] Time 0.106 (0.124) Loss 2.7419 (2.0124) Prec@1 32.812 (51.176) Prec@5 68.750 (78.922) Test: [110/391] Time 0.107 (0.123) Loss 2.1267 (2.0128) Prec@1 41.406 (50.922) Prec@5 80.469 (78.963) Test: [120/391] Time 0.106 (0.121) Loss 2.0428 (1.9944) Prec@1 53.125 (51.330) Prec@5 78.125 (79.300) Test: [130/391] Time 0.111 (0.121) Loss 1.2373 (1.9768) Prec@1 73.438 (51.843) Prec@5 87.500 (79.497) Test: [140/391] Time 0.099 (0.120) Loss 2.1487 (1.9710) Prec@1 43.750 (51.823) Prec@5 80.469 (79.649) Test: [150/391] Time 0.110 (0.119) Loss 1.5980 (1.9810) Prec@1 57.031 (51.687) Prec@5 88.281 (79.455) Test: [160/391] Time 0.112 (0.118) Loss 1.8443 (1.9837) Prec@1 46.875 (51.703) Prec@5 82.812 (79.455) Test: [170/391] Time 0.149 (0.118) Loss 3.8037 (2.0379) Prec@1 19.531 (50.918) Prec@5 44.531 (78.532) Test: [180/391] Time 0.108 (0.118) Loss 3.3429 (2.0811) Prec@1 26.562 (50.181) Prec@5 65.625 (77.918) Test: [190/391] Time 0.110 (0.117) Loss 3.6040 (2.1112) Prec@1 20.312 (49.861) Prec@5 57.031 (77.348) Test: [200/391] Time 0.102 (0.117) Loss 2.8295 (2.1549) Prec@1 43.750 (49.129) Prec@5 63.281 (76.594) Test: [210/391] Time 0.111 (0.116) Loss 2.4703 (2.1863) Prec@1 48.438 (48.626) Prec@5 69.531 (76.070) Test: [220/391] Time 0.107 (0.116) Loss 1.6378 (2.2026) Prec@1 67.188 (48.459) Prec@5 82.812 (75.739) Test: [230/391] Time 0.107 (0.116) Loss 2.6626 (2.2282) Prec@1 46.094 (48.174) Prec@5 70.312 (75.233) Test: [240/391] Time 0.103 (0.116) Loss 2.2695 (2.2379) Prec@1 50.000 (48.165) Prec@5 75.781 (75.019) Test: [250/391] Time 0.106 (0.115) Loss 1.9738 (2.2632) Prec@1 58.594 (47.799) Prec@5 78.906 (74.673) Test: [260/391] Time 0.110 (0.115) Loss 3.0368 (2.2811) Prec@1 30.469 (47.417) Prec@5 64.844 (74.449) Test: [270/391] Time 0.104 (0.115) Loss 3.0436 (2.2916) Prec@1 27.344 (47.230) Prec@5 57.812 (74.201) Test: [280/391] Time 0.107 (0.115) Loss 2.1225 (2.3078) Prec@1 40.625 (46.856) Prec@5 79.688 (73.952) Test: [290/391] Time 0.104 (0.115) Loss 3.0335 (2.3290) Prec@1 25.000 (46.620) Prec@5 64.844 (73.596) Test: [300/391] Time 0.110 (0.114) Loss 1.9833 (2.3471) Prec@1 59.375 (46.361) Prec@5 77.344 (73.274) Test: [310/391] Time 0.109 (0.114) Loss 2.7463 (2.3599) Prec@1 43.750 (46.162) Prec@5 69.531 (73.041) Test: [320/391] Time 0.108 (0.114) Loss 1.4489 (2.3693) Prec@1 62.500 (46.106) Prec@5 87.500 (72.900) Test: [330/391] Time 0.108 (0.114) Loss 2.7403 (2.3937) Prec@1 35.156 (45.626) Prec@5 69.531 (72.538) Test: [340/391] Time 0.104 (0.114) Loss 2.8858 (2.4003) Prec@1 22.656 (45.427) Prec@5 74.219 (72.445) Test: [350/391] Time 0.103 (0.114) Loss 2.7906 (2.4100) Prec@1 32.031 (45.201) Prec@5 64.844 (72.293) Test: [360/391] Time 0.107 (0.113) Loss 2.3170 (2.4161) Prec@1 39.844 (45.107) Prec@5 73.438 (72.195) Test: [370/391] Time 0.106 (0.113) Loss 1.7468 (2.4103) Prec@1 50.000 (45.161) Prec@5 85.156 (72.281) Test: [380/391] Time 0.103 (0.113) Loss 1.3167 (2.4099) Prec@1 70.312 (45.218) Prec@5 89.062 (72.277) Test: [390/391] Time 0.075 (0.113) Loss 3.7916 (2.3971) Prec@1 26.250 (45.512) Prec@5 46.250 (72.508) * Prec@1 45.512 Prec@5 72.508 Epoch: [11][0/10010] Time 2.761 (2.761) Data 2.592 (2.592) Loss 2.6496 (2.6496) Prec@1 44.531 (44.531) Prec@5 75.000 (75.000) Epoch: [11][10/10010] Time 0.319 (0.545) Data 0.001 (0.236) Loss 3.1699 (2.8134) Prec@1 32.812 (38.991) Prec@5 57.031 (65.767) Epoch: [11][20/10010] Time 0.331 (0.439) Data 0.001 (0.124) Loss 3.1464 (2.8243) Prec@1 35.938 (39.174) Prec@5 57.031 (64.918) Epoch: [11][30/10010] Time 0.326 (0.401) Data 0.001 (0.084) Loss 3.0661 (2.8258) Prec@1 38.281 (39.567) Prec@5 57.031 (64.693) Epoch: [11][40/10010] Time 0.316 (0.382) Data 0.001 (0.064) Loss 2.5399 (2.7863) Prec@1 43.750 (39.901) Prec@5 67.969 (65.091) Epoch: [11][50/10010] Time 0.320 (0.370) Data 0.000 (0.052) Loss 2.4982 (2.7651) Prec@1 46.094 (40.472) Prec@5 68.750 (65.196) Epoch: [11][60/10010] Time 0.333 (0.364) Data 0.001 (0.043) Loss 3.2848 (2.7514) Prec@1 31.250 (40.343) Prec@5 60.938 (65.446) Epoch: [11][70/10010] Time 0.348 (0.359) Data 0.001 (0.037) Loss 2.4946 (2.7443) Prec@1 43.750 (40.482) Prec@5 70.312 (65.911) Epoch: [11][80/10010] Time 0.332 (0.357) Data 0.001 (0.033) Loss 2.7346 (2.7275) Prec@1 42.188 (40.828) Prec@5 70.312 (66.252) Epoch: [11][90/10010] Time 0.340 (0.354) Data 0.001 (0.029) Loss 2.5356 (2.7279) Prec@1 43.750 (40.986) Prec@5 70.312 (66.372) Epoch: [11][100/10010] Time 0.348 (0.353) Data 0.001 (0.026) Loss 2.7271 (2.7237) Prec@1 41.406 (40.934) Prec@5 64.062 (66.468) Epoch: [11][110/10010] Time 0.330 (0.352) Data 0.001 (0.024) Loss 2.7696 (2.7200) Prec@1 35.938 (41.047) Prec@5 67.188 (66.610) Epoch: [11][120/10010] Time 0.323 (0.349) Data 0.001 (0.022) Loss 2.5503 (2.7068) Prec@1 46.875 (41.497) Prec@5 67.188 (66.729) Epoch: [11][130/10010] Time 0.341 (0.348) Data 0.000 (0.020) Loss 2.6712 (2.7013) Prec@1 40.625 (41.621) Prec@5 66.406 (66.895) Epoch: [11][140/10010] Time 0.337 (0.347) Data 0.000 (0.019) Loss 2.7012 (2.7059) Prec@1 43.750 (41.423) Prec@5 67.188 (66.861) Epoch: [11][150/10010] Time 0.317 (0.345) Data 0.001 (0.018) Loss 2.6610 (2.7071) Prec@1 47.656 (41.468) Prec@5 70.312 (66.908) Epoch: [11][160/10010] Time 0.343 (0.345) Data 0.001 (0.017) Loss 2.6644 (2.7025) Prec@1 39.062 (41.542) Prec@5 69.531 (66.979) Epoch: [11][170/10010] Time 0.337 (0.345) Data 0.001 (0.016) Loss 2.7651 (2.7013) Prec@1 40.625 (41.607) Prec@5 67.969 (67.018) Epoch: [11][180/10010] Time 0.315 (0.344) Data 0.001 (0.015) Loss 2.8324 (2.6994) Prec@1 36.719 (41.665) Prec@5 67.969 (67.088) Epoch: [11][190/10010] Time 0.343 (0.344) Data 0.001 (0.014) Loss 2.4554 (2.7014) Prec@1 37.500 (41.676) Prec@5 71.875 (67.053) Epoch: [11][200/10010] Time 0.320 (0.343) Data 0.001 (0.014) Loss 2.1426 (2.6959) Prec@1 50.781 (41.791) Prec@5 74.219 (67.133) Epoch: [11][210/10010] Time 0.342 (0.343) Data 0.000 (0.013) Loss 2.8696 (2.6998) Prec@1 42.188 (41.714) Prec@5 62.500 (67.084) Epoch: [11][220/10010] Time 0.326 (0.343) Data 0.001 (0.012) Loss 2.4887 (2.7051) Prec@1 45.312 (41.604) Prec@5 75.781 (66.990) Epoch: [11][230/10010] Time 0.316 (0.342) Data 0.001 (0.012) Loss 2.8640 (2.7025) Prec@1 34.375 (41.602) Prec@5 64.062 (67.008) Epoch: [11][240/10010] Time 0.339 (0.342) Data 0.001 (0.011) Loss 2.4794 (2.7025) Prec@1 44.531 (41.620) Prec@5 73.438 (67.084) Epoch: [11][250/10010] Time 0.331 (0.341) Data 0.000 (0.011) Loss 2.8894 (2.7052) Prec@1 42.188 (41.562) Prec@5 62.500 (67.057) Epoch: [11][260/10010] Time 0.318 (0.341) Data 0.001 (0.011) Loss 2.7441 (2.7027) Prec@1 39.844 (41.658) Prec@5 64.062 (67.098) Epoch: [11][270/10010] Time 0.322 (0.340) Data 0.001 (0.010) Loss 2.4471 (2.6982) Prec@1 44.531 (41.683) Prec@5 70.312 (67.167) Epoch: [11][280/10010] Time 0.325 (0.340) Data 0.001 (0.010) Loss 2.7206 (2.6935) Prec@1 41.406 (41.759) Prec@5 70.312 (67.243) Epoch: [11][290/10010] Time 0.326 (0.339) Data 0.000 (0.010) Loss 2.8452 (2.6959) Prec@1 37.500 (41.683) Prec@5 67.969 (67.220) Epoch: [11][300/10010] Time 0.316 (0.339) Data 0.001 (0.009) Loss 2.5984 (2.6976) Prec@1 42.969 (41.671) Prec@5 63.281 (67.162) Epoch: [11][310/10010] Time 0.335 (0.339) Data 0.001 (0.009) Loss 2.6828 (2.6983) Prec@1 45.312 (41.695) Prec@5 68.750 (67.152) Epoch: [11][320/10010] Time 0.344 (0.338) Data 0.001 (0.009) Loss 2.7059 (2.6962) Prec@1 45.312 (41.732) Prec@5 68.750 (67.156) Epoch: [11][330/10010] Time 0.335 (0.338) Data 0.000 (0.008) Loss 2.9770 (2.6978) Prec@1 39.062 (41.685) Prec@5 56.250 (67.121) Epoch: [11][340/10010] Time 0.346 (0.338) Data 0.000 (0.008) Loss 3.1133 (2.7001) Prec@1 27.344 (41.645) Prec@5 59.375 (67.080) Epoch: [11][350/10010] Time 0.333 (0.338) Data 0.001 (0.008) Loss 2.4372 (2.7019) Prec@1 46.094 (41.656) Prec@5 70.312 (67.023) Epoch: [11][360/10010] Time 0.338 (0.338) Data 0.001 (0.008) Loss 2.1857 (2.7005) Prec@1 55.469 (41.655) Prec@5 78.125 (67.079) Epoch: [11][370/10010] Time 0.318 (0.338) Data 0.001 (0.008) Loss 2.7865 (2.7033) Prec@1 43.750 (41.629) Prec@5 65.625 (67.042) Epoch: [11][380/10010] Time 0.338 (0.337) Data 0.001 (0.007) Loss 2.7501 (2.7055) Prec@1 39.062 (41.601) Prec@5 62.500 (66.993) Epoch: [11][390/10010] Time 0.340 (0.337) Data 0.001 (0.007) Loss 2.6579 (2.7053) Prec@1 46.875 (41.606) Prec@5 67.969 (66.984) Epoch: [11][400/10010] Time 0.340 (0.337) Data 0.001 (0.007) Loss 2.9456 (2.7045) Prec@1 33.594 (41.589) Prec@5 63.281 (67.010) Epoch: [11][410/10010] Time 0.321 (0.337) Data 0.001 (0.007) Loss 2.9190 (2.7033) Prec@1 35.938 (41.547) Prec@5 65.625 (67.051) Epoch: [11][420/10010] Time 0.336 (0.336) Data 0.000 (0.007) Loss 2.6003 (2.7038) Prec@1 35.938 (41.532) Prec@5 72.656 (67.041) Epoch: [11][430/10010] Time 0.324 (0.336) Data 0.001 (0.007) Loss 2.5054 (2.7054) Prec@1 43.750 (41.510) Prec@5 69.531 (66.999) Epoch: [11][440/10010] Time 0.327 (0.336) Data 0.001 (0.007) Loss 2.5919 (2.7058) Prec@1 41.406 (41.488) Prec@5 66.406 (66.986) Epoch: [11][450/10010] Time 0.321 (0.336) Data 0.001 (0.006) Loss 2.9074 (2.7087) Prec@1 39.062 (41.469) Prec@5 67.188 (66.921) Epoch: [11][460/10010] Time 0.351 (0.336) Data 0.000 (0.006) Loss 2.9692 (2.7089) Prec@1 39.062 (41.484) Prec@5 66.406 (66.915) Epoch: [11][470/10010] Time 0.329 (0.336) Data 0.001 (0.006) Loss 2.4666 (2.7073) Prec@1 43.750 (41.493) Prec@5 72.656 (66.942) Epoch: [11][480/10010] Time 0.325 (0.335) Data 0.001 (0.006) Loss 2.7170 (2.7079) Prec@1 39.062 (41.505) Prec@5 66.406 (66.926) Epoch: [11][490/10010] Time 0.324 (0.335) Data 0.000 (0.006) Loss 2.8548 (2.7071) Prec@1 39.062 (41.518) Prec@5 63.281 (66.923) Epoch: [11][500/10010] Time 0.336 (0.335) Data 0.000 (0.006) Loss 2.6339 (2.7087) Prec@1 42.188 (41.520) Prec@5 70.312 (66.916) Epoch: [11][510/10010] Time 0.338 (0.335) Data 0.001 (0.006) Loss 2.7329 (2.7070) Prec@1 40.625 (41.530) Prec@5 64.062 (66.943) Epoch: [11][520/10010] Time 0.341 (0.335) Data 0.001 (0.006) Loss 2.7205 (2.7075) Prec@1 38.281 (41.523) Prec@5 67.969 (66.928) Epoch: [11][530/10010] Time 0.325 (0.335) Data 0.001 (0.006) Loss 3.2513 (2.7087) Prec@1 33.594 (41.527) Prec@5 57.031 (66.909) /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: [11][540/10010] Time 0.316 (0.335) Data 0.000 (0.005) Loss 2.3959 (2.7076) Prec@1 45.312 (41.538) Prec@5 70.312 (66.933) Epoch: [11][550/10010] Time 0.331 (0.335) Data 0.000 (0.005) Loss 3.0100 (2.7081) Prec@1 32.812 (41.504) Prec@5 60.156 (66.910) Epoch: [11][560/10010] Time 0.323 (0.334) Data 0.000 (0.005) Loss 3.1463 (2.7083) Prec@1 32.031 (41.501) Prec@5 58.594 (66.920) Epoch: [11][570/10010] Time 0.332 (0.334) Data 0.000 (0.005) Loss 2.5987 (2.7087) Prec@1 40.625 (41.503) Prec@5 70.312 (66.915) Epoch: [11][580/10010] Time 0.336 (0.334) Data 0.001 (0.005) Loss 2.9495 (2.7104) Prec@1 42.188 (41.486) Prec@5 64.844 (66.880) Epoch: [11][590/10010] Time 0.335 (0.334) Data 0.001 (0.005) Loss 2.6096 (2.7082) Prec@1 41.406 (41.525) Prec@5 61.719 (66.917) Epoch: [11][600/10010] Time 0.333 (0.334) Data 0.000 (0.005) Loss 2.5082 (2.7067) Prec@1 46.094 (41.531) Prec@5 68.750 (66.950) Epoch: [11][610/10010] Time 0.322 (0.334) Data 0.001 (0.005) Loss 2.2204 (2.7059) Prec@1 50.781 (41.551) Prec@5 78.906 (66.950) Epoch: [11][620/10010] Time 0.319 (0.334) Data 0.004 (0.005) Loss 3.0436 (2.7059) Prec@1 39.844 (41.579) Prec@5 65.625 (66.945) Epoch: [11][630/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 2.7853 (2.7063) Prec@1 42.188 (41.583) Prec@5 66.406 (66.941) Epoch: [11][640/10010] Time 0.344 (0.334) Data 0.001 (0.005) Loss 2.5085 (2.7080) Prec@1 41.406 (41.563) Prec@5 69.531 (66.913) Epoch: [11][650/10010] Time 0.324 (0.334) Data 0.001 (0.005) Loss 2.9271 (2.7074) Prec@1 39.844 (41.580) Prec@5 61.719 (66.935) Epoch: [11][660/10010] Time 0.335 (0.334) Data 0.000 (0.005) Loss 2.9120 (2.7080) Prec@1 37.500 (41.560) Prec@5 62.500 (66.917) Epoch: [11][670/10010] Time 0.345 (0.334) Data 0.001 (0.005) Loss 2.8548 (2.7067) Prec@1 36.719 (41.574) Prec@5 59.375 (66.923) Epoch: [11][680/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 2.7783 (2.7077) Prec@1 39.062 (41.574) Prec@5 66.406 (66.909) Epoch: [11][690/10010] Time 0.340 (0.334) Data 0.000 (0.004) Loss 2.5078 (2.7071) Prec@1 42.969 (41.571) Prec@5 70.312 (66.917) Epoch: [11][700/10010] Time 0.337 (0.334) Data 0.000 (0.004) Loss 2.4641 (2.7051) Prec@1 46.875 (41.610) Prec@5 72.656 (66.943) Epoch: [11][710/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 2.5462 (2.7063) Prec@1 42.188 (41.568) Prec@5 67.188 (66.900) Epoch: [11][720/10010] Time 0.334 (0.334) Data 0.001 (0.004) Loss 2.7098 (2.7069) Prec@1 38.281 (41.572) Prec@5 68.750 (66.907) Epoch: [11][730/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.7343 (2.7055) Prec@1 41.406 (41.592) Prec@5 71.094 (66.937) Epoch: [11][740/10010] Time 0.327 (0.333) Data 0.001 (0.004) Loss 2.6534 (2.7050) Prec@1 42.188 (41.606) Prec@5 67.188 (66.944) Epoch: [11][750/10010] Time 0.339 (0.333) Data 0.001 (0.004) Loss 2.7062 (2.7048) Prec@1 43.750 (41.600) Prec@5 64.844 (66.937) Epoch: [11][760/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 2.8987 (2.7051) Prec@1 35.156 (41.604) Prec@5 67.188 (66.937) Epoch: [11][770/10010] Time 0.338 (0.333) Data 0.001 (0.004) Loss 3.1542 (2.7066) Prec@1 34.375 (41.564) Prec@5 60.938 (66.914) Epoch: [11][780/10010] Time 0.327 (0.333) Data 0.001 (0.004) Loss 2.7183 (2.7077) Prec@1 40.625 (41.564) Prec@5 63.281 (66.901) Epoch: [11][790/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 3.0782 (2.7086) Prec@1 41.406 (41.557) Prec@5 58.594 (66.877) Epoch: [11][800/10010] Time 0.342 (0.333) Data 0.001 (0.004) Loss 2.7998 (2.7074) Prec@1 39.062 (41.562) Prec@5 67.188 (66.916) Epoch: [11][810/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 2.6473 (2.7078) Prec@1 42.188 (41.555) Prec@5 67.188 (66.920) Epoch: [11][820/10010] Time 0.321 (0.333) Data 0.001 (0.004) Loss 2.3788 (2.7073) Prec@1 42.188 (41.564) Prec@5 75.000 (66.932) Epoch: [11][830/10010] Time 0.348 (0.333) Data 0.001 (0.004) Loss 2.9146 (2.7085) Prec@1 36.719 (41.530) Prec@5 60.156 (66.916) Epoch: [11][840/10010] Time 0.339 (0.333) Data 0.000 (0.004) Loss 2.7004 (2.7078) Prec@1 42.969 (41.560) Prec@5 71.094 (66.921) Epoch: [11][850/10010] Time 0.323 (0.333) Data 0.000 (0.004) Loss 2.7412 (2.7077) Prec@1 42.969 (41.555) Prec@5 65.625 (66.924) Epoch: [11][860/10010] Time 0.324 (0.333) Data 0.000 (0.004) Loss 2.3660 (2.7075) Prec@1 48.438 (41.547) Prec@5 71.094 (66.933) Epoch: [11][870/10010] Time 0.335 (0.333) Data 0.001 (0.004) Loss 2.5014 (2.7065) Prec@1 41.406 (41.545) Prec@5 71.875 (66.959) Epoch: [11][880/10010] Time 0.328 (0.333) Data 0.000 (0.004) Loss 2.8603 (2.7062) Prec@1 42.969 (41.580) Prec@5 67.188 (66.956) Epoch: [11][890/10010] Time 0.341 (0.333) Data 0.000 (0.004) Loss 2.6465 (2.7062) Prec@1 43.750 (41.583) Prec@5 67.188 (66.964) Epoch: [11][900/10010] Time 0.328 (0.333) Data 0.000 (0.004) Loss 2.8296 (2.7061) Prec@1 37.500 (41.581) Prec@5 67.188 (66.966) Epoch: [11][910/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 2.5771 (2.7051) Prec@1 44.531 (41.625) Prec@5 65.625 (66.982) Epoch: [11][920/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.6409 (2.7046) Prec@1 40.625 (41.638) Prec@5 67.188 (66.988) Epoch: [11][930/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 2.9717 (2.7034) Prec@1 39.062 (41.660) Prec@5 61.719 (67.013) Epoch: [11][940/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.5257 (2.7049) Prec@1 46.094 (41.645) Prec@5 69.531 (67.002) Epoch: [11][950/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 2.6431 (2.7051) Prec@1 48.438 (41.657) Prec@5 67.969 (67.008) Epoch: [11][960/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.9628 (2.7049) Prec@1 32.031 (41.648) Prec@5 64.062 (67.018) Epoch: [11][970/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 2.5160 (2.7037) Prec@1 44.531 (41.675) Prec@5 75.781 (67.043) Epoch: [11][980/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 2.7876 (2.7036) Prec@1 39.844 (41.679) Prec@5 62.500 (67.035) Epoch: [11][990/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.6682 (2.7022) Prec@1 41.406 (41.692) Prec@5 65.625 (67.047) Epoch: [11][1000/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.7027 (2.7017) Prec@1 45.312 (41.707) Prec@5 69.531 (67.059) Epoch: [11][1010/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.7308 (2.7019) Prec@1 45.312 (41.697) Prec@5 70.312 (67.050) Epoch: [11][1020/10010] Time 0.349 (0.333) Data 0.001 (0.003) Loss 2.6932 (2.7017) Prec@1 39.062 (41.696) Prec@5 65.625 (67.042) Epoch: [11][1030/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.5907 (2.7007) Prec@1 46.094 (41.725) Prec@5 70.312 (67.068) Epoch: [11][1040/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.6478 (2.6999) Prec@1 34.375 (41.720) Prec@5 71.875 (67.089) Epoch: [11][1050/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.6980 (2.7006) Prec@1 35.938 (41.698) Prec@5 70.312 (67.082) Epoch: [11][1060/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.9416 (2.7001) Prec@1 38.281 (41.689) Prec@5 60.156 (67.093) Epoch: [11][1070/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 2.4650 (2.7001) Prec@1 39.062 (41.687) Prec@5 72.656 (67.102) Epoch: [11][1080/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 2.4805 (2.7009) Prec@1 46.094 (41.662) Prec@5 67.969 (67.089) Epoch: [11][1090/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.9416 (2.7009) Prec@1 38.281 (41.670) Prec@5 66.406 (67.094) Epoch: [11][1100/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.8316 (2.7017) Prec@1 39.844 (41.662) Prec@5 64.062 (67.069) Epoch: [11][1110/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.3437 (2.7015) Prec@1 48.438 (41.666) Prec@5 76.562 (67.067) Epoch: [11][1120/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.4221 (2.7020) Prec@1 46.094 (41.677) Prec@5 72.656 (67.053) Epoch: [11][1130/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.6425 (2.7029) Prec@1 46.094 (41.672) Prec@5 67.188 (67.041) Epoch: [11][1140/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.8344 (2.7031) Prec@1 40.625 (41.674) Prec@5 60.938 (67.038) Epoch: [11][1150/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.8745 (2.7030) Prec@1 38.281 (41.680) Prec@5 64.844 (67.039) Epoch: [11][1160/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.5956 (2.7028) Prec@1 41.406 (41.674) Prec@5 69.531 (67.037) Epoch: [11][1170/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.9709 (2.7030) Prec@1 35.156 (41.658) Prec@5 64.062 (67.031) Epoch: [11][1180/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.6329 (2.7025) Prec@1 39.844 (41.677) Prec@5 70.312 (67.036) Epoch: [11][1190/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 2.2907 (2.7024) Prec@1 52.344 (41.687) Prec@5 75.000 (67.036) Epoch: [11][1200/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.5373 (2.7026) Prec@1 42.969 (41.706) Prec@5 70.312 (67.035) Epoch: [11][1210/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.8605 (2.7023) Prec@1 42.188 (41.713) Prec@5 63.281 (67.045) Epoch: [11][1220/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 2.9007 (2.7021) Prec@1 33.594 (41.705) Prec@5 63.281 (67.047) Epoch: [11][1230/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.9099 (2.7021) Prec@1 35.938 (41.694) Prec@5 64.062 (67.038) Epoch: [11][1240/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.5414 (2.7027) Prec@1 41.406 (41.673) Prec@5 68.750 (67.019) Epoch: [11][1250/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.6780 (2.7032) Prec@1 42.188 (41.652) Prec@5 67.969 (67.014) Epoch: [11][1260/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.5768 (2.7032) Prec@1 46.875 (41.663) Prec@5 69.531 (67.018) Epoch: [11][1270/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.8374 (2.7040) Prec@1 40.625 (41.666) Prec@5 62.500 (67.005) Epoch: [11][1280/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.7136 (2.7030) Prec@1 39.844 (41.676) Prec@5 66.406 (67.015) Epoch: [11][1290/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 2.8931 (2.7033) Prec@1 41.406 (41.672) Prec@5 63.281 (67.005) Epoch: [11][1300/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 3.0963 (2.7033) Prec@1 32.812 (41.669) Prec@5 62.500 (67.013) Epoch: [11][1310/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.2767 (2.7033) Prec@1 47.656 (41.673) Prec@5 76.562 (67.019) Epoch: [11][1320/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 3.2866 (2.7037) Prec@1 39.844 (41.673) Prec@5 59.375 (67.010) Epoch: [11][1330/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.5756 (2.7035) Prec@1 42.969 (41.672) Prec@5 68.750 (67.019) Epoch: [11][1340/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.7302 (2.7031) Prec@1 45.312 (41.672) Prec@5 65.625 (67.017) Epoch: [11][1350/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.3716 (2.7031) Prec@1 51.562 (41.678) Prec@5 71.875 (67.021) Epoch: [11][1360/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 2.2849 (2.7021) Prec@1 48.438 (41.695) Prec@5 71.875 (67.035) Epoch: [11][1370/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 3.0539 (2.7019) Prec@1 36.719 (41.709) Prec@5 64.062 (67.036) Epoch: [11][1380/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 2.5761 (2.7016) Prec@1 44.531 (41.721) Prec@5 67.969 (67.038) Epoch: [11][1390/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6648 (2.7018) Prec@1 35.938 (41.711) Prec@5 64.844 (67.033) Epoch: [11][1400/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 2.9207 (2.7014) Prec@1 32.812 (41.708) Prec@5 59.375 (67.037) Epoch: [11][1410/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9527 (2.7013) Prec@1 38.281 (41.705) Prec@5 62.500 (67.036) Epoch: [11][1420/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.4903 (2.7009) Prec@1 51.562 (41.723) Prec@5 70.312 (67.041) Epoch: [11][1430/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6832 (2.7011) Prec@1 45.312 (41.727) Prec@5 67.188 (67.035) Epoch: [11][1440/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 3.0403 (2.7014) Prec@1 29.688 (41.710) Prec@5 60.938 (67.035) Epoch: [11][1450/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.3996 (2.7009) Prec@1 46.875 (41.719) Prec@5 70.312 (67.042) Epoch: [11][1460/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5198 (2.7012) Prec@1 46.875 (41.720) Prec@5 72.656 (67.039) Epoch: [11][1470/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6722 (2.7015) Prec@1 38.281 (41.710) Prec@5 67.969 (67.039) Epoch: [11][1480/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.4347 (2.7007) Prec@1 39.844 (41.719) Prec@5 71.875 (67.051) Epoch: [11][1490/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.6601 (2.7004) Prec@1 41.406 (41.712) Prec@5 66.406 (67.058) Epoch: [11][1500/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.4603 (2.7003) Prec@1 43.750 (41.719) Prec@5 71.094 (67.059) Epoch: [11][1510/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8585 (2.7004) Prec@1 39.844 (41.712) Prec@5 64.844 (67.047) Epoch: [11][1520/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.7467 (2.7004) Prec@1 40.625 (41.710) Prec@5 64.062 (67.043) Epoch: [11][1530/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.9343 (2.7001) Prec@1 38.281 (41.715) Prec@5 65.625 (67.052) Epoch: [11][1540/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.9764 (2.7003) Prec@1 39.062 (41.714) Prec@5 62.500 (67.052) Epoch: [11][1550/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.5194 (2.7005) Prec@1 46.875 (41.709) Prec@5 74.219 (67.054) Epoch: [11][1560/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5776 (2.7002) Prec@1 43.750 (41.715) Prec@5 69.531 (67.059) Epoch: [11][1570/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.1224 (2.7006) Prec@1 51.562 (41.717) Prec@5 74.219 (67.050) Epoch: [11][1580/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.7787 (2.7008) Prec@1 38.281 (41.717) Prec@5 64.844 (67.047) Epoch: [11][1590/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5961 (2.7004) Prec@1 43.750 (41.727) Prec@5 67.188 (67.051) Epoch: [11][1600/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.7308 (2.7000) Prec@1 43.750 (41.725) Prec@5 63.281 (67.051) Epoch: [11][1610/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.5945 (2.7005) Prec@1 48.438 (41.716) Prec@5 67.969 (67.040) Epoch: [11][1620/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5921 (2.7008) Prec@1 42.969 (41.706) Prec@5 75.000 (67.041) Epoch: [11][1630/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.4976 (2.7006) Prec@1 42.969 (41.708) Prec@5 72.656 (67.048) /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: [11][1640/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6086 (2.7007) Prec@1 36.719 (41.693) Prec@5 68.750 (67.042) Epoch: [11][1650/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.9193 (2.7006) Prec@1 42.969 (41.689) Prec@5 60.938 (67.045) Epoch: [11][1660/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 3.0735 (2.7016) Prec@1 39.062 (41.675) Prec@5 62.500 (67.030) Epoch: [11][1670/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.8288 (2.7014) Prec@1 32.031 (41.680) Prec@5 61.719 (67.030) Epoch: [11][1680/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.6934 (2.7009) Prec@1 35.938 (41.673) Prec@5 70.312 (67.041) Epoch: [11][1690/10010] Time 0.356 (0.332) Data 0.000 (0.002) Loss 2.4627 (2.7013) Prec@1 43.750 (41.679) Prec@5 67.969 (67.039) Epoch: [11][1700/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.8051 (2.7015) Prec@1 42.188 (41.680) Prec@5 63.281 (67.031) Epoch: [11][1710/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.3804 (2.7014) Prec@1 49.219 (41.679) Prec@5 68.750 (67.018) Epoch: [11][1720/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.6985 (2.7017) Prec@1 42.969 (41.686) Prec@5 71.094 (67.018) Epoch: [11][1730/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6960 (2.7019) Prec@1 39.062 (41.687) Prec@5 64.844 (67.008) Epoch: [11][1740/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 2.6080 (2.7022) Prec@1 39.062 (41.681) Prec@5 67.188 (67.001) Epoch: [11][1750/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5325 (2.7025) Prec@1 42.969 (41.674) Prec@5 75.781 (67.008) Epoch: [11][1760/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.7130 (2.7022) Prec@1 40.625 (41.678) Prec@5 60.938 (67.004) Epoch: [11][1770/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.6489 (2.7020) Prec@1 39.844 (41.681) Prec@5 67.188 (67.013) Epoch: [11][1780/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.8021 (2.7023) Prec@1 39.844 (41.672) Prec@5 67.969 (67.010) Epoch: [11][1790/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6510 (2.7025) Prec@1 42.188 (41.665) Prec@5 67.188 (67.010) Epoch: [11][1800/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6682 (2.7020) Prec@1 42.188 (41.675) Prec@5 65.625 (67.020) Epoch: [11][1810/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.6930 (2.7019) Prec@1 37.500 (41.675) Prec@5 64.062 (67.018) Epoch: [11][1820/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.2995 (2.7016) Prec@1 43.750 (41.678) Prec@5 71.094 (67.031) Epoch: [11][1830/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.3613 (2.7014) Prec@1 46.094 (41.686) Prec@5 73.438 (67.036) Epoch: [11][1840/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.0040 (2.7018) Prec@1 30.469 (41.683) Prec@5 65.625 (67.034) Epoch: [11][1850/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.9409 (2.7017) Prec@1 35.156 (41.678) Prec@5 63.281 (67.032) Epoch: [11][1860/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.6151 (2.7017) Prec@1 42.969 (41.678) Prec@5 63.281 (67.024) Epoch: [11][1870/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.6397 (2.7016) Prec@1 39.062 (41.680) Prec@5 68.750 (67.021) Epoch: [11][1880/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8630 (2.7020) Prec@1 34.375 (41.670) Prec@5 64.062 (67.013) Epoch: [11][1890/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.0920 (2.7023) Prec@1 32.031 (41.667) Prec@5 62.500 (67.004) Epoch: [11][1900/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.6003 (2.7024) Prec@1 46.875 (41.668) Prec@5 67.188 (66.995) Epoch: [11][1910/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.8164 (2.7027) Prec@1 41.406 (41.664) Prec@5 65.625 (66.992) Epoch: [11][1920/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.8027 (2.7035) Prec@1 42.969 (41.656) Prec@5 60.156 (66.976) Epoch: [11][1930/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6449 (2.7033) Prec@1 39.844 (41.655) Prec@5 67.188 (66.972) Epoch: [11][1940/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6835 (2.7032) Prec@1 38.281 (41.661) Prec@5 65.625 (66.980) Epoch: [11][1950/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.8483 (2.7034) Prec@1 45.312 (41.661) Prec@5 59.375 (66.971) Epoch: [11][1960/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 3.1235 (2.7041) Prec@1 37.500 (41.653) Prec@5 57.812 (66.959) Epoch: [11][1970/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.9816 (2.7046) Prec@1 35.156 (41.640) Prec@5 63.281 (66.958) Epoch: [11][1980/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.9089 (2.7048) Prec@1 40.625 (41.630) Prec@5 61.719 (66.956) Epoch: [11][1990/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.7950 (2.7048) Prec@1 44.531 (41.628) Prec@5 61.719 (66.954) Epoch: [11][2000/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.6728 (2.7049) Prec@1 42.969 (41.628) Prec@5 67.969 (66.944) Epoch: [11][2010/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7274 (2.7058) Prec@1 43.750 (41.619) Prec@5 64.844 (66.929) Epoch: [11][2020/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.7472 (2.7055) Prec@1 42.188 (41.624) Prec@5 66.406 (66.934) Epoch: [11][2030/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.3958 (2.7056) Prec@1 53.906 (41.627) Prec@5 71.094 (66.931) Epoch: [11][2040/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.8987 (2.7056) Prec@1 39.062 (41.629) Prec@5 64.062 (66.932) Epoch: [11][2050/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.5982 (2.7053) Prec@1 42.188 (41.628) Prec@5 70.312 (66.936) Epoch: [11][2060/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.4564 (2.7056) Prec@1 44.531 (41.628) Prec@5 72.656 (66.938) Epoch: [11][2070/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.6381 (2.7055) Prec@1 44.531 (41.627) Prec@5 65.625 (66.930) Epoch: [11][2080/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 3.0691 (2.7060) Prec@1 32.812 (41.624) Prec@5 61.719 (66.927) Epoch: [11][2090/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6887 (2.7057) Prec@1 46.094 (41.629) Prec@5 62.500 (66.929) Epoch: [11][2100/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.7425 (2.7057) Prec@1 34.375 (41.626) Prec@5 65.625 (66.929) Epoch: [11][2110/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 3.0307 (2.7060) Prec@1 32.812 (41.622) Prec@5 63.281 (66.930) Epoch: [11][2120/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.5446 (2.7061) Prec@1 39.062 (41.620) Prec@5 73.438 (66.920) Epoch: [11][2130/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.8057 (2.7063) Prec@1 42.969 (41.624) Prec@5 67.188 (66.914) Epoch: [11][2140/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7759 (2.7062) Prec@1 35.156 (41.630) Prec@5 63.281 (66.919) Epoch: [11][2150/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.9888 (2.7062) Prec@1 37.500 (41.625) Prec@5 61.719 (66.921) Epoch: [11][2160/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.6527 (2.7056) Prec@1 36.719 (41.634) Prec@5 70.312 (66.933) Epoch: [11][2170/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.5810 (2.7057) Prec@1 45.312 (41.632) Prec@5 67.188 (66.925) Epoch: [11][2180/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5707 (2.7058) Prec@1 39.844 (41.624) Prec@5 71.875 (66.925) Epoch: [11][2190/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.6974 (2.7055) Prec@1 46.094 (41.630) Prec@5 67.188 (66.934) Epoch: [11][2200/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7587 (2.7054) Prec@1 37.500 (41.627) Prec@5 65.625 (66.935) Epoch: [11][2210/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5699 (2.7056) Prec@1 42.969 (41.626) Prec@5 68.750 (66.936) /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: [11][2220/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.9411 (2.7060) Prec@1 39.062 (41.622) Prec@5 64.062 (66.926) Epoch: [11][2230/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6515 (2.7060) Prec@1 49.219 (41.621) Prec@5 64.844 (66.919) Epoch: [11][2240/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.0980 (2.7060) Prec@1 33.594 (41.620) Prec@5 60.938 (66.919) Epoch: [11][2250/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6854 (2.7059) Prec@1 46.094 (41.624) Prec@5 64.844 (66.923) Epoch: [11][2260/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.6024 (2.7059) Prec@1 44.531 (41.623) Prec@5 70.312 (66.916) Epoch: [11][2270/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.7145 (2.7055) Prec@1 39.062 (41.625) Prec@5 68.750 (66.926) Epoch: [11][2280/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.9502 (2.7058) Prec@1 36.719 (41.624) Prec@5 62.500 (66.920) Epoch: [11][2290/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.8274 (2.7057) Prec@1 38.281 (41.619) Prec@5 60.938 (66.922) Epoch: [11][2300/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.2958 (2.7062) Prec@1 34.375 (41.611) Prec@5 55.469 (66.916) Epoch: [11][2310/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7197 (2.7061) Prec@1 46.094 (41.611) Prec@5 65.625 (66.916) Epoch: [11][2320/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.4850 (2.7053) Prec@1 44.531 (41.626) Prec@5 68.750 (66.930) Epoch: [11][2330/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.5628 (2.7054) Prec@1 46.875 (41.629) Prec@5 72.656 (66.930) Epoch: [11][2340/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.3773 (2.7045) Prec@1 47.656 (41.649) Prec@5 73.438 (66.945) /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: [11][2350/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.8782 (2.7046) Prec@1 42.188 (41.641) Prec@5 66.406 (66.946) Epoch: [11][2360/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.5314 (2.7046) Prec@1 43.750 (41.641) Prec@5 69.531 (66.947) Epoch: [11][2370/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.8068 (2.7046) Prec@1 41.406 (41.641) Prec@5 70.312 (66.951) Epoch: [11][2380/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.1361 (2.7039) Prec@1 53.125 (41.655) Prec@5 76.562 (66.964) Epoch: [11][2390/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.8028 (2.7041) Prec@1 38.281 (41.650) Prec@5 64.844 (66.965) Epoch: [11][2400/10010] Time 0.344 (0.332) Data 0.002 (0.002) Loss 3.1273 (2.7042) Prec@1 39.844 (41.648) Prec@5 56.250 (66.962) Epoch: [11][2410/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 3.0598 (2.7043) Prec@1 37.500 (41.652) Prec@5 59.375 (66.960) Epoch: [11][2420/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7701 (2.7041) Prec@1 34.375 (41.653) Prec@5 64.844 (66.961) Epoch: [11][2430/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7123 (2.7039) Prec@1 35.156 (41.650) Prec@5 66.406 (66.962) Epoch: [11][2440/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5748 (2.7036) Prec@1 47.656 (41.656) Prec@5 64.844 (66.966) Epoch: [11][2450/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8293 (2.7034) Prec@1 44.531 (41.661) Prec@5 63.281 (66.971) Epoch: [11][2460/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.9411 (2.7034) Prec@1 38.281 (41.661) Prec@5 66.406 (66.975) Epoch: [11][2470/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.7674 (2.7034) Prec@1 43.750 (41.660) Prec@5 67.969 (66.975) Epoch: [11][2480/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.0976 (2.7038) Prec@1 32.031 (41.655) Prec@5 60.156 (66.970) Epoch: [11][2490/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.8528 (2.7042) Prec@1 40.625 (41.647) Prec@5 62.500 (66.965) Epoch: [11][2500/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.4197 (2.7041) Prec@1 45.312 (41.644) Prec@5 67.969 (66.962) Epoch: [11][2510/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.8826 (2.7045) Prec@1 37.500 (41.643) Prec@5 58.594 (66.954) Epoch: [11][2520/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5447 (2.7042) Prec@1 41.406 (41.646) Prec@5 67.969 (66.957) Epoch: [11][2530/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.0844 (2.7043) Prec@1 37.500 (41.645) Prec@5 61.719 (66.953) Epoch: [11][2540/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.7307 (2.7043) Prec@1 39.844 (41.645) Prec@5 65.625 (66.947) Epoch: [11][2550/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8800 (2.7044) Prec@1 39.844 (41.646) Prec@5 62.500 (66.944) Epoch: [11][2560/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.6345 (2.7041) Prec@1 45.312 (41.650) Prec@5 67.969 (66.951) Epoch: [11][2570/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.4815 (2.7044) Prec@1 40.625 (41.645) Prec@5 71.875 (66.944) Epoch: [11][2580/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.5166 (2.7041) Prec@1 41.406 (41.656) Prec@5 73.438 (66.955) Epoch: [11][2590/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.7178 (2.7045) Prec@1 42.188 (41.650) Prec@5 62.500 (66.942) Epoch: [11][2600/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.3862 (2.7046) Prec@1 50.781 (41.651) Prec@5 74.219 (66.942) Epoch: [11][2610/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7182 (2.7050) Prec@1 39.844 (41.644) Prec@5 67.188 (66.933) Epoch: [11][2620/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 2.7408 (2.7054) Prec@1 32.812 (41.637) Prec@5 66.406 (66.926) Epoch: [11][2630/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.5140 (2.7061) Prec@1 43.750 (41.629) Prec@5 71.094 (66.911) /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: [11][2640/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.7079 (2.7059) Prec@1 44.531 (41.640) Prec@5 66.406 (66.913) Epoch: [11][2650/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.6409 (2.7062) Prec@1 41.406 (41.640) Prec@5 69.531 (66.908) Epoch: [11][2660/10010] Time 0.312 (0.332) Data 0.001 (0.002) Loss 2.7411 (2.7059) Prec@1 35.938 (41.636) Prec@5 66.406 (66.916) Epoch: [11][2670/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.5556 (2.7058) Prec@1 39.844 (41.631) Prec@5 66.406 (66.915) Epoch: [11][2680/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.7470 (2.7054) Prec@1 46.094 (41.639) Prec@5 68.750 (66.922) Epoch: [11][2690/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.8903 (2.7059) Prec@1 35.156 (41.629) Prec@5 64.062 (66.917) Epoch: [11][2700/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.9834 (2.7060) Prec@1 42.188 (41.635) Prec@5 60.156 (66.920) Epoch: [11][2710/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6105 (2.7057) Prec@1 41.406 (41.644) Prec@5 67.188 (66.927) Epoch: [11][2720/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.7498 (2.7058) Prec@1 40.625 (41.641) Prec@5 68.750 (66.922) Epoch: [11][2730/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7058 (2.7056) Prec@1 40.625 (41.640) Prec@5 65.625 (66.926) Epoch: [11][2740/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.7753 (2.7055) Prec@1 40.625 (41.641) Prec@5 66.406 (66.925) Epoch: [11][2750/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8750 (2.7056) Prec@1 36.719 (41.641) Prec@5 62.500 (66.916) Epoch: [11][2760/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.6314 (2.7057) Prec@1 39.844 (41.636) Prec@5 67.188 (66.915) Epoch: [11][2770/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 3.0136 (2.7064) Prec@1 29.688 (41.625) Prec@5 54.688 (66.897) Epoch: [11][2780/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 3.0348 (2.7068) Prec@1 36.719 (41.621) Prec@5 64.844 (66.896) Epoch: [11][2790/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7015 (2.7069) Prec@1 44.531 (41.623) Prec@5 67.188 (66.891) Epoch: [11][2800/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.7250 (2.7069) Prec@1 39.844 (41.621) Prec@5 67.188 (66.892) Epoch: [11][2810/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.5862 (2.7070) Prec@1 41.406 (41.618) Prec@5 67.188 (66.886) Epoch: [11][2820/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.4946 (2.7069) Prec@1 45.312 (41.619) Prec@5 68.750 (66.888) Epoch: [11][2830/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 3.0850 (2.7070) Prec@1 35.156 (41.617) Prec@5 57.031 (66.886) Epoch: [11][2840/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.6406 (2.7070) Prec@1 49.219 (41.620) Prec@5 69.531 (66.890) Epoch: [11][2850/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 3.1311 (2.7071) Prec@1 33.594 (41.617) Prec@5 60.156 (66.892) Epoch: [11][2860/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.5233 (2.7070) Prec@1 46.875 (41.624) Prec@5 71.094 (66.896) Epoch: [11][2870/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.8518 (2.7073) Prec@1 39.844 (41.622) Prec@5 67.969 (66.889) Epoch: [11][2880/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.4549 (2.7074) Prec@1 48.438 (41.627) Prec@5 66.406 (66.886) Epoch: [11][2890/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.6230 (2.7078) Prec@1 40.625 (41.624) Prec@5 69.531 (66.882) Epoch: [11][2900/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.9469 (2.7076) Prec@1 32.812 (41.623) Prec@5 64.844 (66.880) Epoch: [11][2910/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.5113 (2.7075) Prec@1 43.750 (41.620) Prec@5 69.531 (66.878) Epoch: [11][2920/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.9793 (2.7076) Prec@1 38.281 (41.621) Prec@5 56.250 (66.877) Epoch: [11][2930/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 3.1572 (2.7077) Prec@1 34.375 (41.611) Prec@5 61.719 (66.878) Epoch: [11][2940/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.9850 (2.7079) Prec@1 41.406 (41.609) Prec@5 64.062 (66.875) Epoch: [11][2950/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8442 (2.7078) Prec@1 39.844 (41.611) Prec@5 61.719 (66.875) Epoch: [11][2960/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5409 (2.7082) Prec@1 42.188 (41.605) Prec@5 68.750 (66.864) Epoch: [11][2970/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5875 (2.7085) Prec@1 44.531 (41.599) Prec@5 71.875 (66.864) Epoch: [11][2980/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.8587 (2.7086) Prec@1 39.844 (41.599) Prec@5 66.406 (66.864) Epoch: [11][2990/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7174 (2.7087) Prec@1 41.406 (41.597) Prec@5 67.188 (66.861) Epoch: [11][3000/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9425 (2.7088) Prec@1 40.625 (41.598) Prec@5 65.625 (66.862) Epoch: [11][3010/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8953 (2.7084) Prec@1 39.844 (41.602) Prec@5 60.938 (66.866) Epoch: [11][3020/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.9018 (2.7083) Prec@1 43.750 (41.608) Prec@5 60.938 (66.868) Epoch: [11][3030/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7041 (2.7085) Prec@1 42.188 (41.607) Prec@5 67.969 (66.869) Epoch: [11][3040/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7248 (2.7085) Prec@1 42.188 (41.605) Prec@5 67.188 (66.865) Epoch: [11][3050/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8401 (2.7086) Prec@1 36.719 (41.608) Prec@5 62.500 (66.861) Epoch: [11][3060/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.5193 (2.7085) Prec@1 48.438 (41.609) Prec@5 72.656 (66.867) Epoch: [11][3070/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6228 (2.7086) Prec@1 43.750 (41.605) Prec@5 71.875 (66.865) Epoch: [11][3080/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5587 (2.7089) Prec@1 44.531 (41.606) Prec@5 70.312 (66.862) Epoch: [11][3090/10010] Time 0.321 (0.332) Data 0.004 (0.001) Loss 2.7075 (2.7088) Prec@1 40.625 (41.608) Prec@5 64.844 (66.862) Epoch: [11][3100/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.3939 (2.7082) Prec@1 50.000 (41.620) Prec@5 71.094 (66.870) Epoch: [11][3110/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5195 (2.7080) Prec@1 48.438 (41.618) Prec@5 68.750 (66.872) Epoch: [11][3120/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8309 (2.7082) Prec@1 37.500 (41.613) Prec@5 66.406 (66.870) Epoch: [11][3130/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0108 (2.7081) Prec@1 35.938 (41.613) Prec@5 64.062 (66.869) Epoch: [11][3140/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4703 (2.7083) Prec@1 44.531 (41.605) Prec@5 71.875 (66.868) Epoch: [11][3150/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0932 (2.7088) Prec@1 30.469 (41.595) Prec@5 63.281 (66.862) Epoch: [11][3160/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7416 (2.7091) Prec@1 42.188 (41.589) Prec@5 66.406 (66.857) Epoch: [11][3170/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.7301 (2.7092) Prec@1 38.281 (41.587) Prec@5 64.062 (66.852) Epoch: [11][3180/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7535 (2.7094) Prec@1 39.062 (41.587) Prec@5 68.750 (66.850) Epoch: [11][3190/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9678 (2.7094) Prec@1 35.938 (41.588) Prec@5 62.500 (66.848) Epoch: [11][3200/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5505 (2.7092) Prec@1 43.750 (41.590) Prec@5 70.312 (66.854) Epoch: [11][3210/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.4587 (2.7091) Prec@1 47.656 (41.592) Prec@5 69.531 (66.858) Epoch: [11][3220/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8440 (2.7092) Prec@1 38.281 (41.590) Prec@5 63.281 (66.855) Epoch: [11][3230/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6621 (2.7091) Prec@1 42.969 (41.594) Prec@5 67.969 (66.861) Epoch: [11][3240/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.1036 (2.7094) Prec@1 28.906 (41.588) Prec@5 57.812 (66.854) Epoch: [11][3250/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6742 (2.7095) Prec@1 40.625 (41.585) Prec@5 70.312 (66.854) Epoch: [11][3260/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7417 (2.7100) Prec@1 38.281 (41.575) Prec@5 67.188 (66.844) Epoch: [11][3270/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.9855 (2.7099) Prec@1 40.625 (41.572) Prec@5 63.281 (66.845) Epoch: [11][3280/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5364 (2.7098) Prec@1 39.062 (41.569) Prec@5 66.406 (66.847) Epoch: [11][3290/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8739 (2.7101) Prec@1 38.281 (41.564) Prec@5 61.719 (66.843) Epoch: [11][3300/10010] Time 0.353 (0.332) Data 0.001 (0.001) Loss 2.8194 (2.7102) Prec@1 36.719 (41.559) Prec@5 65.625 (66.840) Epoch: [11][3310/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6744 (2.7106) Prec@1 40.625 (41.552) Prec@5 68.750 (66.837) Epoch: [11][3320/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4557 (2.7103) Prec@1 44.531 (41.559) Prec@5 73.438 (66.845) Epoch: [11][3330/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.2089 (2.7106) Prec@1 34.375 (41.555) Prec@5 57.812 (66.843) Epoch: [11][3340/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6990 (2.7103) Prec@1 39.844 (41.562) Prec@5 71.094 (66.848) Epoch: [11][3350/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8200 (2.7102) Prec@1 42.969 (41.562) Prec@5 64.062 (66.849) Epoch: [11][3360/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8502 (2.7100) Prec@1 36.719 (41.563) Prec@5 67.188 (66.852) Epoch: [11][3370/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.2716 (2.7097) Prec@1 41.406 (41.560) Prec@5 75.781 (66.854) Epoch: [11][3380/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.3799 (2.7099) Prec@1 42.969 (41.557) Prec@5 73.438 (66.856) Epoch: [11][3390/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7202 (2.7100) Prec@1 37.500 (41.554) Prec@5 61.719 (66.856) Epoch: [11][3400/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8491 (2.7101) Prec@1 40.625 (41.552) Prec@5 64.062 (66.855) Epoch: [11][3410/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8653 (2.7101) Prec@1 35.156 (41.550) Prec@5 65.625 (66.855) Epoch: [11][3420/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.3049 (2.7099) Prec@1 44.531 (41.550) Prec@5 75.781 (66.862) Epoch: [11][3430/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7630 (2.7101) Prec@1 37.500 (41.544) Prec@5 67.188 (66.863) Epoch: [11][3440/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6817 (2.7101) Prec@1 42.188 (41.543) Prec@5 67.188 (66.864) Epoch: [11][3450/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9655 (2.7105) Prec@1 35.938 (41.540) Prec@5 60.156 (66.859) Epoch: [11][3460/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9396 (2.7107) Prec@1 35.156 (41.541) Prec@5 64.844 (66.857) Epoch: [11][3470/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7513 (2.7106) Prec@1 43.750 (41.544) Prec@5 68.750 (66.859) Epoch: [11][3480/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.9254 (2.7105) Prec@1 39.844 (41.545) Prec@5 66.406 (66.861) Epoch: [11][3490/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6224 (2.7105) Prec@1 47.656 (41.551) Prec@5 66.406 (66.862) Epoch: [11][3500/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7287 (2.7102) Prec@1 42.969 (41.556) Prec@5 65.625 (66.863) Epoch: [11][3510/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.3833 (2.7102) Prec@1 43.750 (41.556) Prec@5 77.344 (66.864) Epoch: [11][3520/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8275 (2.7104) Prec@1 42.969 (41.556) Prec@5 63.281 (66.857) Epoch: [11][3530/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7628 (2.7105) Prec@1 42.969 (41.551) Prec@5 65.625 (66.856) Epoch: [11][3540/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6813 (2.7104) Prec@1 44.531 (41.553) Prec@5 67.969 (66.859) Epoch: [11][3550/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8917 (2.7110) Prec@1 33.594 (41.545) Prec@5 64.844 (66.851) Epoch: [11][3560/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.5319 (2.7110) Prec@1 45.312 (41.548) Prec@5 67.188 (66.852) Epoch: [11][3570/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6362 (2.7109) Prec@1 42.969 (41.548) Prec@5 67.188 (66.853) Epoch: [11][3580/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5600 (2.7107) Prec@1 44.531 (41.552) Prec@5 67.969 (66.856) Epoch: [11][3590/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.4508 (2.7107) Prec@1 39.844 (41.551) Prec@5 70.312 (66.855) Epoch: [11][3600/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8392 (2.7108) Prec@1 37.500 (41.549) Prec@5 67.969 (66.854) Epoch: [11][3610/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6238 (2.7111) Prec@1 37.500 (41.544) Prec@5 73.438 (66.848) Epoch: [11][3620/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.1429 (2.7110) Prec@1 32.031 (41.542) Prec@5 55.469 (66.852) Epoch: [11][3630/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6155 (2.7106) Prec@1 42.969 (41.544) Prec@5 68.750 (66.858) Epoch: [11][3640/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.5677 (2.7106) Prec@1 40.625 (41.541) Prec@5 69.531 (66.859) Epoch: [11][3650/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7134 (2.7107) Prec@1 42.188 (41.537) Prec@5 64.062 (66.856) Epoch: [11][3660/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.2534 (2.7106) Prec@1 50.000 (41.541) Prec@5 76.562 (66.859) Epoch: [11][3670/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8037 (2.7108) Prec@1 39.062 (41.540) Prec@5 62.500 (66.858) Epoch: [11][3680/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8330 (2.7105) Prec@1 38.281 (41.542) Prec@5 64.844 (66.862) Epoch: [11][3690/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7493 (2.7104) Prec@1 35.938 (41.543) Prec@5 64.844 (66.867) Epoch: [11][3700/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.5697 (2.7101) Prec@1 44.531 (41.543) Prec@5 68.750 (66.870) Epoch: [11][3710/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6290 (2.7097) Prec@1 43.750 (41.551) Prec@5 70.312 (66.876) Epoch: [11][3720/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8629 (2.7096) Prec@1 37.500 (41.554) Prec@5 62.500 (66.874) Epoch: [11][3730/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8994 (2.7096) Prec@1 42.188 (41.559) Prec@5 67.969 (66.875) Epoch: [11][3740/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6962 (2.7096) Prec@1 38.281 (41.555) Prec@5 63.281 (66.877) Epoch: [11][3750/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4042 (2.7093) Prec@1 48.438 (41.560) Prec@5 77.344 (66.882) Epoch: [11][3760/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8961 (2.7094) Prec@1 41.406 (41.558) Prec@5 67.969 (66.881) Epoch: [11][3770/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5707 (2.7094) Prec@1 44.531 (41.560) Prec@5 68.750 (66.881) Epoch: [11][3780/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6234 (2.7094) Prec@1 46.094 (41.564) Prec@5 67.969 (66.881) Epoch: [11][3790/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7849 (2.7096) Prec@1 35.938 (41.562) Prec@5 67.188 (66.879) Epoch: [11][3800/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9155 (2.7096) Prec@1 39.062 (41.565) Prec@5 61.719 (66.877) Epoch: [11][3810/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6049 (2.7094) Prec@1 49.219 (41.573) Prec@5 68.750 (66.882) Epoch: [11][3820/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7995 (2.7096) Prec@1 42.969 (41.570) Prec@5 62.500 (66.883) Epoch: [11][3830/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6463 (2.7095) Prec@1 42.188 (41.571) Prec@5 68.750 (66.885) Epoch: [11][3840/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9132 (2.7098) Prec@1 36.719 (41.568) Prec@5 60.938 (66.875) Epoch: [11][3850/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9082 (2.7099) Prec@1 37.500 (41.562) Prec@5 60.938 (66.876) Epoch: [11][3860/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4322 (2.7098) Prec@1 47.656 (41.562) Prec@5 67.188 (66.879) Epoch: [11][3870/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8703 (2.7097) Prec@1 46.094 (41.569) Prec@5 67.188 (66.880) Epoch: [11][3880/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5430 (2.7097) Prec@1 39.062 (41.573) Prec@5 67.969 (66.882) Epoch: [11][3890/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.3488 (2.7097) Prec@1 53.906 (41.576) Prec@5 75.781 (66.882) Epoch: [11][3900/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8908 (2.7099) Prec@1 42.188 (41.574) Prec@5 61.719 (66.877) Epoch: [11][3910/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.3327 (2.7101) Prec@1 46.094 (41.571) Prec@5 75.000 (66.879) Epoch: [11][3920/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.4470 (2.7099) Prec@1 46.094 (41.576) Prec@5 73.438 (66.884) Epoch: [11][3930/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6308 (2.7098) Prec@1 42.188 (41.579) Prec@5 69.531 (66.888) Epoch: [11][3940/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9806 (2.7099) Prec@1 42.188 (41.577) Prec@5 57.812 (66.887) Epoch: [11][3950/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4640 (2.7099) Prec@1 44.531 (41.575) Prec@5 72.656 (66.888) Epoch: [11][3960/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8810 (2.7096) Prec@1 39.062 (41.582) Prec@5 61.719 (66.892) Epoch: [11][3970/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8910 (2.7096) Prec@1 39.062 (41.581) Prec@5 67.969 (66.893) Epoch: [11][3980/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9149 (2.7097) Prec@1 37.500 (41.582) Prec@5 63.281 (66.890) Epoch: [11][3990/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6012 (2.7095) Prec@1 40.625 (41.581) Prec@5 68.750 (66.892) Epoch: [11][4000/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7334 (2.7095) Prec@1 40.625 (41.580) Prec@5 71.094 (66.892) Epoch: [11][4010/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5700 (2.7095) Prec@1 51.562 (41.582) Prec@5 69.531 (66.888) Epoch: [11][4020/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9289 (2.7097) Prec@1 36.719 (41.579) Prec@5 61.719 (66.887) Epoch: [11][4030/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6916 (2.7098) Prec@1 41.406 (41.578) Prec@5 70.312 (66.883) Epoch: [11][4040/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8534 (2.7100) Prec@1 34.375 (41.577) Prec@5 63.281 (66.882) Epoch: [11][4050/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0487 (2.7099) Prec@1 33.594 (41.574) Prec@5 64.844 (66.883) Epoch: [11][4060/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5811 (2.7097) Prec@1 46.875 (41.572) Prec@5 71.875 (66.888) Epoch: [11][4070/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5765 (2.7097) Prec@1 44.531 (41.573) Prec@5 72.656 (66.892) /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: [11][4080/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8285 (2.7098) Prec@1 38.281 (41.574) Prec@5 65.625 (66.892) Epoch: [11][4090/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.1019 (2.7099) Prec@1 44.531 (41.576) Prec@5 63.281 (66.893) Epoch: [11][4100/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6817 (2.7099) Prec@1 38.281 (41.574) Prec@5 63.281 (66.894) Epoch: [11][4110/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6903 (2.7100) Prec@1 38.281 (41.573) Prec@5 62.500 (66.891) Epoch: [11][4120/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8317 (2.7101) Prec@1 40.625 (41.572) Prec@5 62.500 (66.892) Epoch: [11][4130/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6070 (2.7102) Prec@1 45.312 (41.574) Prec@5 68.750 (66.896) Epoch: [11][4140/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7076 (2.7103) Prec@1 40.625 (41.573) Prec@5 68.750 (66.889) Epoch: [11][4150/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8540 (2.7101) Prec@1 41.406 (41.580) Prec@5 66.406 (66.891) Epoch: [11][4160/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0689 (2.7102) Prec@1 34.375 (41.576) Prec@5 57.812 (66.888) Epoch: [11][4170/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5178 (2.7103) Prec@1 42.969 (41.576) Prec@5 71.875 (66.886) Epoch: [11][4180/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.7746 (2.7104) Prec@1 42.969 (41.578) Prec@5 65.625 (66.883) Epoch: [11][4190/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.2705 (2.7104) Prec@1 48.438 (41.578) Prec@5 74.219 (66.883) Epoch: [11][4200/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8579 (2.7105) Prec@1 40.625 (41.573) Prec@5 62.500 (66.882) Epoch: [11][4210/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4974 (2.7106) Prec@1 43.750 (41.569) Prec@5 71.875 (66.878) Epoch: [11][4220/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9776 (2.7107) Prec@1 35.156 (41.566) Prec@5 58.594 (66.876) Epoch: [11][4230/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 3.1753 (2.7107) Prec@1 36.719 (41.569) Prec@5 59.375 (66.878) Epoch: [11][4240/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7832 (2.7104) Prec@1 37.500 (41.571) Prec@5 67.969 (66.887) Epoch: [11][4250/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0932 (2.7104) Prec@1 35.938 (41.571) Prec@5 63.281 (66.887) Epoch: [11][4260/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.6962 (2.7106) Prec@1 39.062 (41.572) Prec@5 67.188 (66.884) Epoch: [11][4270/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5878 (2.7106) Prec@1 44.531 (41.568) Prec@5 67.188 (66.886) Epoch: [11][4280/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4048 (2.7106) Prec@1 48.438 (41.566) Prec@5 68.750 (66.885) Epoch: [11][4290/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8920 (2.7106) Prec@1 38.281 (41.567) Prec@5 60.938 (66.884) Epoch: [11][4300/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5533 (2.7106) Prec@1 42.188 (41.567) Prec@5 71.875 (66.885) Epoch: [11][4310/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7791 (2.7101) Prec@1 42.188 (41.574) Prec@5 63.281 (66.888) Epoch: [11][4320/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5465 (2.7101) Prec@1 46.094 (41.573) Prec@5 65.625 (66.886) Epoch: [11][4330/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4565 (2.7100) Prec@1 49.219 (41.575) Prec@5 69.531 (66.889) Epoch: [11][4340/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.0775 (2.7100) Prec@1 34.375 (41.575) Prec@5 57.812 (66.890) Epoch: [11][4350/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7839 (2.7100) Prec@1 40.625 (41.575) Prec@5 67.969 (66.892) Epoch: [11][4360/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5867 (2.7099) Prec@1 46.094 (41.580) Prec@5 70.312 (66.895) Epoch: [11][4370/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0042 (2.7097) Prec@1 32.812 (41.581) Prec@5 63.281 (66.897) Epoch: [11][4380/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6618 (2.7099) Prec@1 46.875 (41.580) Prec@5 65.625 (66.893) Epoch: [11][4390/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.5812 (2.7099) Prec@1 42.969 (41.580) Prec@5 70.312 (66.893) Epoch: [11][4400/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8090 (2.7101) Prec@1 40.625 (41.577) Prec@5 64.844 (66.889) Epoch: [11][4410/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4015 (2.7102) Prec@1 43.750 (41.574) Prec@5 71.094 (66.888) Epoch: [11][4420/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7924 (2.7102) Prec@1 36.719 (41.571) Prec@5 66.406 (66.889) Epoch: [11][4430/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6928 (2.7102) Prec@1 41.406 (41.570) Prec@5 67.969 (66.890) Epoch: [11][4440/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.3827 (2.7099) Prec@1 47.656 (41.577) Prec@5 73.438 (66.891) Epoch: [11][4450/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.4216 (2.7101) Prec@1 46.875 (41.576) Prec@5 71.875 (66.887) /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: [11][4460/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.5951 (2.7101) Prec@1 40.625 (41.575) Prec@5 70.312 (66.887) Epoch: [11][4470/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7187 (2.7105) Prec@1 37.500 (41.566) Prec@5 68.750 (66.880) Epoch: [11][4480/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8297 (2.7107) Prec@1 40.625 (41.564) Prec@5 64.844 (66.876) Epoch: [11][4490/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7428 (2.7107) Prec@1 45.312 (41.564) Prec@5 62.500 (66.874) Epoch: [11][4500/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7801 (2.7107) Prec@1 36.719 (41.562) Prec@5 62.500 (66.875) Epoch: [11][4510/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.4570 (2.7108) Prec@1 40.625 (41.559) Prec@5 70.312 (66.874) Epoch: [11][4520/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6518 (2.7107) Prec@1 43.750 (41.559) Prec@5 67.188 (66.875) Epoch: [11][4530/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6609 (2.7108) Prec@1 45.312 (41.559) Prec@5 67.969 (66.873) Epoch: [11][4540/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8744 (2.7110) Prec@1 37.500 (41.558) Prec@5 60.938 (66.871) Epoch: [11][4550/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 3.0134 (2.7112) Prec@1 34.375 (41.555) Prec@5 61.719 (66.872) Epoch: [11][4560/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.6380 (2.7112) Prec@1 45.312 (41.552) Prec@5 68.750 (66.872) Epoch: [11][4570/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0079 (2.7110) Prec@1 37.500 (41.556) Prec@5 60.938 (66.873) Epoch: [11][4580/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 3.0269 (2.7113) Prec@1 39.062 (41.556) Prec@5 61.719 (66.873) Epoch: [11][4590/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.3569 (2.7110) Prec@1 49.219 (41.559) Prec@5 71.094 (66.874) Epoch: [11][4600/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.3590 (2.7108) Prec@1 46.875 (41.560) Prec@5 75.000 (66.879) Epoch: [11][4610/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9289 (2.7110) Prec@1 43.750 (41.558) Prec@5 67.969 (66.874) Epoch: [11][4620/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.6579 (2.7112) Prec@1 41.406 (41.552) Prec@5 67.188 (66.868) Epoch: [11][4630/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.8814 (2.7113) Prec@1 33.594 (41.550) Prec@5 62.500 (66.867) Epoch: [11][4640/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7778 (2.7114) Prec@1 40.625 (41.550) Prec@5 70.312 (66.864) Epoch: [11][4650/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4579 (2.7113) Prec@1 43.750 (41.551) Prec@5 71.094 (66.865) Epoch: [11][4660/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6643 (2.7112) Prec@1 40.625 (41.550) Prec@5 63.281 (66.866) Epoch: [11][4670/10010] Time 0.352 (0.332) Data 0.001 (0.001) Loss 2.6902 (2.7111) Prec@1 45.312 (41.551) Prec@5 70.312 (66.865) Epoch: [11][4680/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.1468 (2.7108) Prec@1 36.719 (41.554) Prec@5 57.812 (66.870) Epoch: [11][4690/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.9548 (2.7108) Prec@1 39.844 (41.555) Prec@5 64.062 (66.872) Epoch: [11][4700/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8612 (2.7109) Prec@1 42.188 (41.552) Prec@5 64.062 (66.871) Epoch: [11][4710/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7659 (2.7109) Prec@1 34.375 (41.552) Prec@5 61.719 (66.872) Epoch: [11][4720/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9733 (2.7110) Prec@1 34.375 (41.552) Prec@5 64.844 (66.870) Epoch: [11][4730/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1682 (2.7111) Prec@1 34.375 (41.552) Prec@5 58.594 (66.868) Epoch: [11][4740/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9571 (2.7111) Prec@1 39.844 (41.552) Prec@5 61.719 (66.867) Epoch: [11][4750/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7601 (2.7112) Prec@1 38.281 (41.549) Prec@5 63.281 (66.865) Epoch: [11][4760/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8495 (2.7112) Prec@1 39.062 (41.548) Prec@5 63.281 (66.864) Epoch: [11][4770/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5793 (2.7113) Prec@1 42.188 (41.549) Prec@5 67.188 (66.860) Epoch: [11][4780/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5854 (2.7110) Prec@1 46.094 (41.555) Prec@5 67.969 (66.864) Epoch: [11][4790/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8195 (2.7112) Prec@1 40.625 (41.551) Prec@5 68.750 (66.862) Epoch: [11][4800/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6862 (2.7112) Prec@1 42.188 (41.554) Prec@5 63.281 (66.859) Epoch: [11][4810/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0166 (2.7115) Prec@1 35.938 (41.549) Prec@5 60.938 (66.856) Epoch: [11][4820/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5885 (2.7113) Prec@1 42.188 (41.554) Prec@5 67.969 (66.858) Epoch: [11][4830/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4307 (2.7113) Prec@1 45.312 (41.555) Prec@5 67.188 (66.857) Epoch: [11][4840/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6939 (2.7114) Prec@1 43.750 (41.559) Prec@5 66.406 (66.856) Epoch: [11][4850/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9121 (2.7114) Prec@1 31.250 (41.557) Prec@5 66.406 (66.855) Epoch: [11][4860/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.3093 (2.7111) Prec@1 51.562 (41.560) Prec@5 72.656 (66.859) Epoch: [11][4870/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7436 (2.7112) Prec@1 40.625 (41.559) Prec@5 67.969 (66.859) Epoch: [11][4880/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7920 (2.7115) Prec@1 33.594 (41.557) Prec@5 64.844 (66.853) Epoch: [11][4890/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7383 (2.7117) Prec@1 39.844 (41.556) Prec@5 64.844 (66.851) Epoch: [11][4900/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.0857 (2.7119) Prec@1 34.375 (41.553) Prec@5 59.375 (66.850) Epoch: [11][4910/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6306 (2.7119) Prec@1 42.969 (41.555) Prec@5 67.969 (66.848) Epoch: [11][4920/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8415 (2.7117) Prec@1 41.406 (41.560) Prec@5 66.406 (66.851) Epoch: [11][4930/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5847 (2.7117) Prec@1 43.750 (41.559) Prec@5 71.875 (66.854) Epoch: [11][4940/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.0276 (2.7119) Prec@1 35.156 (41.555) Prec@5 59.375 (66.852) Epoch: [11][4950/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.1594 (2.7118) Prec@1 33.594 (41.552) Prec@5 59.375 (66.853) Epoch: [11][4960/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9040 (2.7118) Prec@1 42.969 (41.552) Prec@5 65.625 (66.854) Epoch: [11][4970/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6445 (2.7116) Prec@1 46.875 (41.554) Prec@5 68.750 (66.857) Epoch: [11][4980/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4479 (2.7118) Prec@1 46.094 (41.551) Prec@5 69.531 (66.854) Epoch: [11][4990/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.9328 (2.7119) Prec@1 40.625 (41.549) Prec@5 64.844 (66.854) Epoch: [11][5000/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8503 (2.7119) Prec@1 42.188 (41.548) Prec@5 67.969 (66.851) Epoch: [11][5010/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7036 (2.7119) Prec@1 37.500 (41.549) Prec@5 71.094 (66.853) Epoch: [11][5020/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.5691 (2.7121) Prec@1 50.781 (41.549) Prec@5 68.750 (66.851) Epoch: [11][5030/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7077 (2.7122) Prec@1 38.281 (41.548) Prec@5 64.062 (66.849) Epoch: [11][5040/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6864 (2.7122) Prec@1 46.094 (41.551) Prec@5 67.188 (66.849) Epoch: [11][5050/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 3.0422 (2.7122) Prec@1 36.719 (41.551) Prec@5 64.062 (66.850) Epoch: [11][5060/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8747 (2.7123) Prec@1 39.844 (41.550) Prec@5 67.188 (66.847) Epoch: [11][5070/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5759 (2.7121) Prec@1 45.312 (41.552) Prec@5 70.312 (66.850) Epoch: [11][5080/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8510 (2.7119) Prec@1 38.281 (41.554) Prec@5 62.500 (66.854) Epoch: [11][5090/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.0267 (2.7118) Prec@1 54.688 (41.555) Prec@5 78.906 (66.858) Epoch: [11][5100/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0572 (2.7120) Prec@1 35.156 (41.552) Prec@5 67.969 (66.854) Epoch: [11][5110/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.0247 (2.7119) Prec@1 34.375 (41.551) Prec@5 57.812 (66.854) Epoch: [11][5120/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7807 (2.7120) Prec@1 39.844 (41.550) Prec@5 62.500 (66.850) Epoch: [11][5130/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.5878 (2.7120) Prec@1 42.969 (41.549) Prec@5 67.969 (66.849) Epoch: [11][5140/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.3415 (2.7120) Prec@1 46.875 (41.550) Prec@5 74.219 (66.847) Epoch: [11][5150/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.3439 (2.7121) Prec@1 28.906 (41.545) Prec@5 56.250 (66.844) Epoch: [11][5160/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6748 (2.7121) Prec@1 39.844 (41.547) Prec@5 66.406 (66.845) Epoch: [11][5170/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8721 (2.7121) Prec@1 41.406 (41.547) Prec@5 63.281 (66.843) Epoch: [11][5180/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8660 (2.7122) Prec@1 36.719 (41.546) Prec@5 65.625 (66.844) Epoch: [11][5190/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7160 (2.7121) Prec@1 42.969 (41.547) Prec@5 69.531 (66.846) Epoch: [11][5200/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7194 (2.7123) Prec@1 37.500 (41.543) Prec@5 66.406 (66.844) Epoch: [11][5210/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9168 (2.7122) Prec@1 39.062 (41.545) Prec@5 66.406 (66.843) Epoch: [11][5220/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5329 (2.7122) Prec@1 42.969 (41.545) Prec@5 68.750 (66.842) Epoch: [11][5230/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7758 (2.7122) Prec@1 41.406 (41.548) Prec@5 63.281 (66.843) Epoch: [11][5240/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7565 (2.7121) Prec@1 39.844 (41.548) Prec@5 66.406 (66.843) Epoch: [11][5250/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7565 (2.7120) Prec@1 40.625 (41.548) Prec@5 66.406 (66.844) Epoch: [11][5260/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6513 (2.7119) Prec@1 41.406 (41.553) Prec@5 67.188 (66.846) Epoch: [11][5270/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4208 (2.7117) Prec@1 42.188 (41.555) Prec@5 71.875 (66.849) Epoch: [11][5280/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4386 (2.7116) Prec@1 46.094 (41.557) Prec@5 72.656 (66.852) Epoch: [11][5290/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.4155 (2.7115) Prec@1 46.875 (41.563) Prec@5 69.531 (66.854) Epoch: [11][5300/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6811 (2.7117) Prec@1 46.094 (41.564) Prec@5 67.969 (66.852) Epoch: [11][5310/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7925 (2.7120) Prec@1 37.500 (41.559) Prec@5 67.188 (66.848) Epoch: [11][5320/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8344 (2.7123) Prec@1 40.625 (41.556) Prec@5 64.062 (66.846) Epoch: [11][5330/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5568 (2.7124) Prec@1 43.750 (41.556) Prec@5 69.531 (66.845) Epoch: [11][5340/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0804 (2.7123) Prec@1 31.250 (41.562) Prec@5 62.500 (66.847) Epoch: [11][5350/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8561 (2.7122) Prec@1 37.500 (41.562) Prec@5 60.938 (66.849) Epoch: [11][5360/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0119 (2.7127) Prec@1 34.375 (41.552) Prec@5 60.938 (66.838) Epoch: [11][5370/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5843 (2.7130) Prec@1 41.406 (41.547) Prec@5 73.438 (66.832) Epoch: [11][5380/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6762 (2.7131) Prec@1 42.969 (41.547) Prec@5 68.750 (66.828) Epoch: [11][5390/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6880 (2.7134) Prec@1 46.094 (41.544) Prec@5 66.406 (66.822) Epoch: [11][5400/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7278 (2.7133) Prec@1 46.094 (41.548) Prec@5 69.531 (66.823) Epoch: [11][5410/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5720 (2.7132) Prec@1 42.188 (41.549) Prec@5 70.312 (66.823) Epoch: [11][5420/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.9840 (2.7133) Prec@1 37.500 (41.549) Prec@5 59.375 (66.821) Epoch: [11][5430/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7136 (2.7134) Prec@1 39.844 (41.548) Prec@5 64.844 (66.821) Epoch: [11][5440/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6701 (2.7133) Prec@1 42.969 (41.549) Prec@5 68.750 (66.822) Epoch: [11][5450/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4447 (2.7135) Prec@1 48.438 (41.545) Prec@5 67.969 (66.817) Epoch: [11][5460/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6507 (2.7135) Prec@1 41.406 (41.544) Prec@5 65.625 (66.814) Epoch: [11][5470/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5840 (2.7136) Prec@1 48.438 (41.545) Prec@5 67.969 (66.814) Epoch: [11][5480/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7905 (2.7137) Prec@1 42.969 (41.544) Prec@5 64.062 (66.811) Epoch: [11][5490/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6887 (2.7137) Prec@1 42.188 (41.542) Prec@5 70.312 (66.808) Epoch: [11][5500/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9298 (2.7138) Prec@1 39.844 (41.542) Prec@5 63.281 (66.807) Epoch: [11][5510/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4610 (2.7136) Prec@1 42.969 (41.544) Prec@5 71.875 (66.810) Epoch: [11][5520/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7694 (2.7137) Prec@1 39.844 (41.544) Prec@5 69.531 (66.809) Epoch: [11][5530/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8741 (2.7138) Prec@1 42.188 (41.542) Prec@5 65.625 (66.807) Epoch: [11][5540/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3543 (2.7137) Prec@1 46.875 (41.544) Prec@5 69.531 (66.809) Epoch: [11][5550/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.1700 (2.7139) Prec@1 35.938 (41.544) Prec@5 58.594 (66.806) Epoch: [11][5560/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7175 (2.7138) Prec@1 39.062 (41.547) Prec@5 67.969 (66.806) Epoch: [11][5570/10010] Time 0.353 (0.331) Data 0.001 (0.001) Loss 2.9015 (2.7137) Prec@1 36.719 (41.547) Prec@5 64.062 (66.808) Epoch: [11][5580/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8793 (2.7136) Prec@1 34.375 (41.547) Prec@5 64.062 (66.809) Epoch: [11][5590/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.1487 (2.7138) Prec@1 35.938 (41.549) Prec@5 62.500 (66.809) Epoch: [11][5600/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 3.0348 (2.7140) Prec@1 32.812 (41.542) Prec@5 64.062 (66.805) Epoch: [11][5610/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 2.5600 (2.7141) Prec@1 38.281 (41.537) Prec@5 73.438 (66.807) Epoch: [11][5620/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.6615 (2.7141) Prec@1 41.406 (41.535) Prec@5 64.062 (66.807) Epoch: [11][5630/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.4515 (2.7139) Prec@1 47.656 (41.537) Prec@5 71.094 (66.810) Epoch: [11][5640/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4830 (2.7139) Prec@1 47.656 (41.539) Prec@5 70.312 (66.810) Epoch: [11][5650/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6360 (2.7140) Prec@1 45.312 (41.537) Prec@5 66.406 (66.807) Epoch: [11][5660/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6925 (2.7140) Prec@1 47.656 (41.538) Prec@5 68.750 (66.808) Epoch: [11][5670/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8360 (2.7141) Prec@1 40.625 (41.537) Prec@5 65.625 (66.807) Epoch: [11][5680/10010] Time 0.310 (0.331) Data 0.001 (0.001) Loss 2.5591 (2.7141) Prec@1 46.094 (41.537) Prec@5 72.656 (66.808) Epoch: [11][5690/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5984 (2.7143) Prec@1 44.531 (41.533) Prec@5 75.000 (66.806) Epoch: [11][5700/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.2273 (2.7142) Prec@1 52.344 (41.537) Prec@5 75.000 (66.806) Epoch: [11][5710/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.0545 (2.7143) Prec@1 37.500 (41.536) Prec@5 60.156 (66.804) Epoch: [11][5720/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9022 (2.7144) Prec@1 33.594 (41.529) Prec@5 66.406 (66.802) Epoch: [11][5730/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8811 (2.7144) Prec@1 39.062 (41.532) Prec@5 64.844 (66.801) Epoch: [11][5740/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4643 (2.7145) Prec@1 46.875 (41.529) Prec@5 69.531 (66.800) Epoch: [11][5750/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1651 (2.7147) Prec@1 40.625 (41.528) Prec@5 62.500 (66.798) Epoch: [11][5760/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7753 (2.7147) Prec@1 42.969 (41.526) Prec@5 62.500 (66.797) Epoch: [11][5770/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6015 (2.7148) Prec@1 39.844 (41.524) Prec@5 68.750 (66.795) Epoch: [11][5780/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5759 (2.7147) Prec@1 45.312 (41.525) Prec@5 65.625 (66.794) Epoch: [11][5790/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.8624 (2.7148) Prec@1 41.406 (41.525) Prec@5 64.062 (66.795) Epoch: [11][5800/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.8825 (2.7148) Prec@1 39.062 (41.522) Prec@5 65.625 (66.794) Epoch: [11][5810/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8715 (2.7148) Prec@1 42.969 (41.519) Prec@5 64.062 (66.796) Epoch: [11][5820/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7601 (2.7150) Prec@1 42.188 (41.514) Prec@5 67.969 (66.790) Epoch: [11][5830/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5765 (2.7152) Prec@1 47.656 (41.516) Prec@5 67.969 (66.788) Epoch: [11][5840/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3720 (2.7152) Prec@1 49.219 (41.517) Prec@5 69.531 (66.787) Epoch: [11][5850/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8913 (2.7152) Prec@1 36.719 (41.517) Prec@5 64.062 (66.788) Epoch: [11][5860/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6204 (2.7153) Prec@1 43.750 (41.516) Prec@5 65.625 (66.788) Epoch: [11][5870/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6051 (2.7152) Prec@1 35.938 (41.515) Prec@5 71.875 (66.789) Epoch: [11][5880/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5399 (2.7153) Prec@1 37.500 (41.514) Prec@5 68.750 (66.788) Epoch: [11][5890/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6455 (2.7152) Prec@1 39.062 (41.513) Prec@5 67.969 (66.791) Epoch: [11][5900/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7738 (2.7152) Prec@1 37.500 (41.513) Prec@5 63.281 (66.792) Epoch: [11][5910/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5929 (2.7152) Prec@1 43.750 (41.511) Prec@5 68.750 (66.790) Epoch: [11][5920/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6004 (2.7151) Prec@1 45.312 (41.515) Prec@5 70.312 (66.792) Epoch: [11][5930/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4948 (2.7149) Prec@1 43.750 (41.521) Prec@5 70.312 (66.798) Epoch: [11][5940/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.0140 (2.7148) Prec@1 39.844 (41.523) Prec@5 62.500 (66.800) Epoch: [11][5950/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4936 (2.7148) Prec@1 42.188 (41.521) Prec@5 67.188 (66.799) Epoch: [11][5960/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6853 (2.7149) Prec@1 40.625 (41.522) Prec@5 66.406 (66.799) Epoch: [11][5970/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6958 (2.7150) Prec@1 43.750 (41.521) Prec@5 67.969 (66.798) Epoch: [11][5980/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4823 (2.7148) Prec@1 44.531 (41.520) Prec@5 69.531 (66.802) Epoch: [11][5990/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.4747 (2.7146) Prec@1 42.188 (41.523) Prec@5 73.438 (66.803) Epoch: [11][6000/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6269 (2.7146) Prec@1 43.750 (41.524) Prec@5 71.094 (66.804) Epoch: [11][6010/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8185 (2.7146) Prec@1 40.625 (41.522) Prec@5 64.844 (66.802) Epoch: [11][6020/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7770 (2.7148) Prec@1 38.281 (41.521) Prec@5 64.844 (66.800) Epoch: [11][6030/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9683 (2.7148) Prec@1 37.500 (41.519) Prec@5 65.625 (66.799) Epoch: [11][6040/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8675 (2.7149) Prec@1 42.188 (41.518) Prec@5 70.312 (66.799) Epoch: [11][6050/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8294 (2.7148) Prec@1 35.156 (41.518) Prec@5 60.938 (66.801) Epoch: [11][6060/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8949 (2.7148) Prec@1 41.406 (41.518) Prec@5 65.625 (66.800) Epoch: [11][6070/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.6442 (2.7148) Prec@1 46.094 (41.517) Prec@5 64.844 (66.801) Epoch: [11][6080/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6150 (2.7149) Prec@1 44.531 (41.517) Prec@5 67.188 (66.800) Epoch: [11][6090/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8275 (2.7149) Prec@1 41.406 (41.519) Prec@5 64.844 (66.803) Epoch: [11][6100/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6228 (2.7149) Prec@1 42.969 (41.519) Prec@5 68.750 (66.802) Epoch: [11][6110/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6300 (2.7148) Prec@1 41.406 (41.519) Prec@5 70.312 (66.803) Epoch: [11][6120/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.1680 (2.7150) Prec@1 35.156 (41.519) Prec@5 60.938 (66.802) Epoch: [11][6130/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6335 (2.7151) Prec@1 42.969 (41.517) Prec@5 66.406 (66.801) Epoch: [11][6140/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6990 (2.7152) Prec@1 41.406 (41.517) Prec@5 67.188 (66.801) Epoch: [11][6150/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0256 (2.7151) Prec@1 33.594 (41.516) Prec@5 55.469 (66.800) Epoch: [11][6160/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8292 (2.7152) Prec@1 43.750 (41.516) Prec@5 61.719 (66.797) Epoch: [11][6170/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.5138 (2.7151) Prec@1 40.625 (41.517) Prec@5 66.406 (66.800) Epoch: [11][6180/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6883 (2.7151) Prec@1 41.406 (41.517) Prec@5 64.844 (66.800) Epoch: [11][6190/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6883 (2.7151) Prec@1 42.188 (41.515) Prec@5 66.406 (66.800) Epoch: [11][6200/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6942 (2.7151) Prec@1 39.844 (41.514) Prec@5 64.062 (66.801) Epoch: [11][6210/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7589 (2.7153) Prec@1 39.844 (41.511) Prec@5 65.625 (66.798) Epoch: [11][6220/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8333 (2.7153) Prec@1 42.188 (41.509) Prec@5 64.062 (66.799) Epoch: [11][6230/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7999 (2.7153) Prec@1 38.281 (41.510) Prec@5 61.719 (66.798) Epoch: [11][6240/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.9137 (2.7153) Prec@1 35.938 (41.508) Prec@5 64.844 (66.797) Epoch: [11][6250/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6051 (2.7151) Prec@1 41.406 (41.514) Prec@5 67.969 (66.802) Epoch: [11][6260/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7850 (2.7152) Prec@1 47.656 (41.514) Prec@5 65.625 (66.800) Epoch: [11][6270/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 3.1224 (2.7151) Prec@1 36.719 (41.515) Prec@5 62.500 (66.802) Epoch: [11][6280/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9777 (2.7152) Prec@1 40.625 (41.512) Prec@5 57.812 (66.800) Epoch: [11][6290/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8141 (2.7152) Prec@1 37.500 (41.514) Prec@5 70.312 (66.803) Epoch: [11][6300/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3119 (2.7152) Prec@1 46.875 (41.515) Prec@5 74.219 (66.802) Epoch: [11][6310/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8568 (2.7152) Prec@1 41.406 (41.514) Prec@5 64.844 (66.802) Epoch: [11][6320/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7484 (2.7152) Prec@1 40.625 (41.512) Prec@5 63.281 (66.800) Epoch: [11][6330/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7541 (2.7153) Prec@1 35.938 (41.509) Prec@5 70.312 (66.799) Epoch: [11][6340/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5834 (2.7153) Prec@1 46.094 (41.510) Prec@5 65.625 (66.797) Epoch: [11][6350/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7471 (2.7154) Prec@1 39.844 (41.507) Prec@5 69.531 (66.795) Epoch: [11][6360/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9045 (2.7156) Prec@1 39.844 (41.506) Prec@5 64.062 (66.793) Epoch: [11][6370/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.3431 (2.7156) Prec@1 36.719 (41.507) Prec@5 54.688 (66.792) Epoch: [11][6380/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7228 (2.7158) Prec@1 45.312 (41.503) Prec@5 67.188 (66.790) Epoch: [11][6390/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9012 (2.7158) Prec@1 40.625 (41.504) Prec@5 62.500 (66.787) Epoch: [11][6400/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7248 (2.7159) Prec@1 46.875 (41.503) Prec@5 69.531 (66.788) Epoch: [11][6410/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4101 (2.7159) Prec@1 50.781 (41.505) Prec@5 69.531 (66.787) Epoch: [11][6420/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8070 (2.7160) Prec@1 42.969 (41.503) Prec@5 60.156 (66.784) Epoch: [11][6430/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6865 (2.7161) Prec@1 36.719 (41.501) Prec@5 69.531 (66.784) Epoch: [11][6440/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6012 (2.7161) Prec@1 48.438 (41.503) Prec@5 67.188 (66.783) Epoch: [11][6450/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8870 (2.7161) Prec@1 40.625 (41.503) Prec@5 67.188 (66.783) Epoch: [11][6460/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4954 (2.7161) Prec@1 42.188 (41.503) Prec@5 68.750 (66.784) Epoch: [11][6470/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.0012 (2.7163) Prec@1 39.844 (41.500) Prec@5 64.062 (66.783) Epoch: [11][6480/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6196 (2.7163) Prec@1 46.875 (41.501) Prec@5 69.531 (66.783) Epoch: [11][6490/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5933 (2.7163) Prec@1 40.625 (41.500) Prec@5 67.969 (66.783) Epoch: [11][6500/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.4747 (2.7162) Prec@1 39.062 (41.501) Prec@5 71.875 (66.784) Epoch: [11][6510/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5812 (2.7163) Prec@1 45.312 (41.502) Prec@5 65.625 (66.782) Epoch: [11][6520/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8822 (2.7164) Prec@1 37.500 (41.504) Prec@5 66.406 (66.782) Epoch: [11][6530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8637 (2.7163) Prec@1 42.188 (41.503) Prec@5 66.406 (66.784) Epoch: [11][6540/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6243 (2.7163) Prec@1 39.062 (41.503) Prec@5 67.969 (66.783) Epoch: [11][6550/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0387 (2.7165) Prec@1 37.500 (41.500) Prec@5 64.062 (66.781) Epoch: [11][6560/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.5754 (2.7165) Prec@1 43.750 (41.498) Prec@5 71.094 (66.780) Epoch: [11][6570/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.9639 (2.7165) Prec@1 39.062 (41.496) Prec@5 60.156 (66.778) Epoch: [11][6580/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9193 (2.7165) Prec@1 39.844 (41.499) Prec@5 60.938 (66.781) Epoch: [11][6590/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9953 (2.7163) Prec@1 36.719 (41.502) Prec@5 60.938 (66.784) Epoch: [11][6600/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.1099 (2.7164) Prec@1 39.062 (41.502) Prec@5 58.594 (66.784) Epoch: [11][6610/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8899 (2.7166) Prec@1 40.625 (41.501) Prec@5 65.625 (66.781) Epoch: [11][6620/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8008 (2.7165) Prec@1 39.062 (41.501) Prec@5 64.062 (66.781) Epoch: [11][6630/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.9952 (2.7166) Prec@1 34.375 (41.501) Prec@5 60.156 (66.778) Epoch: [11][6640/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7358 (2.7168) Prec@1 42.188 (41.497) Prec@5 65.625 (66.776) Epoch: [11][6650/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8187 (2.7168) Prec@1 39.062 (41.496) Prec@5 64.062 (66.776) Epoch: [11][6660/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6153 (2.7170) Prec@1 41.406 (41.492) Prec@5 68.750 (66.773) Epoch: [11][6670/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8058 (2.7170) Prec@1 35.156 (41.494) Prec@5 66.406 (66.772) Epoch: [11][6680/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6153 (2.7171) Prec@1 38.281 (41.492) Prec@5 76.562 (66.773) Epoch: [11][6690/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5399 (2.7170) Prec@1 46.094 (41.492) Prec@5 67.188 (66.773) Epoch: [11][6700/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6893 (2.7170) Prec@1 42.188 (41.493) Prec@5 67.188 (66.773) Epoch: [11][6710/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6146 (2.7169) Prec@1 47.656 (41.498) Prec@5 67.188 (66.774) Epoch: [11][6720/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8554 (2.7168) Prec@1 37.500 (41.498) Prec@5 63.281 (66.775) Epoch: [11][6730/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9325 (2.7168) Prec@1 35.156 (41.495) Prec@5 60.938 (66.773) Epoch: [11][6740/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7584 (2.7169) Prec@1 39.062 (41.490) Prec@5 67.188 (66.772) Epoch: [11][6750/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8038 (2.7168) Prec@1 41.406 (41.491) Prec@5 67.969 (66.774) Epoch: [11][6760/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4320 (2.7168) Prec@1 39.844 (41.491) Prec@5 72.656 (66.775) Epoch: [11][6770/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.4348 (2.7169) Prec@1 49.219 (41.489) Prec@5 71.875 (66.773) Epoch: [11][6780/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9211 (2.7169) Prec@1 38.281 (41.489) Prec@5 64.062 (66.773) Epoch: [11][6790/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7909 (2.7169) Prec@1 35.938 (41.489) Prec@5 69.531 (66.774) Epoch: [11][6800/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5861 (2.7169) Prec@1 46.094 (41.489) Prec@5 70.312 (66.775) Epoch: [11][6810/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.3973 (2.7168) Prec@1 43.750 (41.488) Prec@5 72.656 (66.777) Epoch: [11][6820/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6227 (2.7168) Prec@1 42.969 (41.487) Prec@5 65.625 (66.776) Epoch: [11][6830/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6296 (2.7169) Prec@1 42.969 (41.484) Prec@5 71.094 (66.775) Epoch: [11][6840/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.2969 (2.7168) Prec@1 45.312 (41.485) Prec@5 73.438 (66.776) Epoch: [11][6850/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6632 (2.7170) Prec@1 42.969 (41.482) Prec@5 64.844 (66.774) Epoch: [11][6860/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6543 (2.7168) Prec@1 40.625 (41.483) Prec@5 64.844 (66.775) Epoch: [11][6870/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.0067 (2.7170) Prec@1 38.281 (41.483) Prec@5 60.938 (66.775) Epoch: [11][6880/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9102 (2.7170) Prec@1 34.375 (41.484) Prec@5 60.938 (66.776) Epoch: [11][6890/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.7752 (2.7171) Prec@1 42.188 (41.482) Prec@5 66.406 (66.774) Epoch: [11][6900/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7843 (2.7169) Prec@1 39.844 (41.486) Prec@5 66.406 (66.777) Epoch: [11][6910/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9290 (2.7169) Prec@1 33.594 (41.484) Prec@5 65.625 (66.777) Epoch: [11][6920/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9203 (2.7169) Prec@1 35.938 (41.486) Prec@5 62.500 (66.776) Epoch: [11][6930/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.9788 (2.7169) Prec@1 34.375 (41.488) Prec@5 58.594 (66.776) Epoch: [11][6940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8630 (2.7169) Prec@1 40.625 (41.489) Prec@5 67.969 (66.777) Epoch: [11][6950/10010] Time 0.319 (0.331) Data 0.002 (0.001) Loss 2.5814 (2.7168) Prec@1 46.875 (41.490) Prec@5 71.875 (66.777) Epoch: [11][6960/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7789 (2.7169) Prec@1 34.375 (41.487) Prec@5 67.188 (66.775) Epoch: [11][6970/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8596 (2.7170) Prec@1 37.500 (41.482) Prec@5 66.406 (66.777) Epoch: [11][6980/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8205 (2.7170) Prec@1 41.406 (41.482) Prec@5 65.625 (66.777) Epoch: [11][6990/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8416 (2.7171) Prec@1 34.375 (41.478) Prec@5 67.969 (66.777) Epoch: [11][7000/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.8292 (2.7171) Prec@1 42.969 (41.477) Prec@5 67.969 (66.777) Epoch: [11][7010/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5091 (2.7170) Prec@1 42.969 (41.476) Prec@5 71.875 (66.779) Epoch: [11][7020/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.0238 (2.7170) Prec@1 38.281 (41.478) Prec@5 57.031 (66.776) Epoch: [11][7030/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.9711 (2.7169) Prec@1 36.719 (41.481) Prec@5 67.969 (66.780) Epoch: [11][7040/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7265 (2.7170) Prec@1 38.281 (41.482) Prec@5 71.094 (66.780) Epoch: [11][7050/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7338 (2.7170) Prec@1 40.625 (41.483) Prec@5 69.531 (66.782) Epoch: [11][7060/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6579 (2.7171) Prec@1 39.062 (41.481) Prec@5 68.750 (66.782) Epoch: [11][7070/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8522 (2.7171) Prec@1 35.156 (41.480) Prec@5 64.844 (66.782) Epoch: [11][7080/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5718 (2.7170) Prec@1 42.188 (41.481) Prec@5 71.875 (66.785) Epoch: [11][7090/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5586 (2.7171) Prec@1 44.531 (41.480) Prec@5 67.969 (66.784) Epoch: [11][7100/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5730 (2.7171) Prec@1 42.969 (41.480) Prec@5 70.312 (66.782) Epoch: [11][7110/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7086 (2.7171) Prec@1 39.844 (41.479) Prec@5 71.875 (66.781) Epoch: [11][7120/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6230 (2.7172) Prec@1 39.844 (41.478) Prec@5 69.531 (66.781) Epoch: [11][7130/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7967 (2.7170) Prec@1 37.500 (41.482) Prec@5 67.969 (66.786) Epoch: [11][7140/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8770 (2.7170) Prec@1 42.969 (41.482) Prec@5 64.062 (66.784) Epoch: [11][7150/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8634 (2.7170) Prec@1 39.844 (41.483) Prec@5 62.500 (66.785) Epoch: [11][7160/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7572 (2.7170) Prec@1 44.531 (41.482) Prec@5 66.406 (66.784) Epoch: [11][7170/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8186 (2.7171) Prec@1 42.969 (41.481) Prec@5 64.844 (66.783) Epoch: [11][7180/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5564 (2.7169) Prec@1 48.438 (41.484) Prec@5 66.406 (66.783) Epoch: [11][7190/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8327 (2.7171) Prec@1 43.750 (41.482) Prec@5 64.844 (66.781) Epoch: [11][7200/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7290 (2.7171) Prec@1 42.969 (41.481) Prec@5 64.062 (66.780) Epoch: [11][7210/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7388 (2.7171) Prec@1 39.062 (41.482) Prec@5 62.500 (66.780) Epoch: [11][7220/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.7992 (2.7171) Prec@1 36.719 (41.480) Prec@5 67.969 (66.779) Epoch: [11][7230/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8344 (2.7171) Prec@1 37.500 (41.482) Prec@5 64.062 (66.780) Epoch: [11][7240/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8211 (2.7170) Prec@1 41.406 (41.484) Prec@5 66.406 (66.781) Epoch: [11][7250/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8990 (2.7173) Prec@1 36.719 (41.484) Prec@5 61.719 (66.777) Epoch: [11][7260/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.5813 (2.7171) Prec@1 50.781 (41.483) Prec@5 67.188 (66.778) Epoch: [11][7270/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.1316 (2.7172) Prec@1 41.406 (41.483) Prec@5 61.719 (66.778) Epoch: [11][7280/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4844 (2.7171) Prec@1 44.531 (41.484) Prec@5 71.875 (66.780) Epoch: [11][7290/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5585 (2.7171) Prec@1 48.438 (41.487) Prec@5 66.406 (66.779) Epoch: [11][7300/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2533 (2.7168) Prec@1 50.781 (41.489) Prec@5 73.438 (66.783) Epoch: [11][7310/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7300 (2.7170) Prec@1 40.625 (41.487) Prec@5 69.531 (66.782) Epoch: [11][7320/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7365 (2.7171) Prec@1 43.750 (41.487) Prec@5 67.969 (66.782) Epoch: [11][7330/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6618 (2.7171) Prec@1 42.969 (41.486) Prec@5 67.969 (66.782) Epoch: [11][7340/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 2.7135 (2.7171) Prec@1 39.062 (41.485) Prec@5 71.875 (66.784) Epoch: [11][7350/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9106 (2.7172) Prec@1 33.594 (41.483) Prec@5 64.062 (66.781) Epoch: [11][7360/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5869 (2.7172) Prec@1 48.438 (41.483) Prec@5 68.750 (66.782) Epoch: [11][7370/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.1307 (2.7172) Prec@1 41.406 (41.483) Prec@5 61.719 (66.784) Epoch: [11][7380/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3743 (2.7172) Prec@1 48.438 (41.485) Prec@5 72.656 (66.785) Epoch: [11][7390/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6194 (2.7170) Prec@1 42.188 (41.487) Prec@5 67.969 (66.788) Epoch: [11][7400/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6222 (2.7170) Prec@1 39.844 (41.486) Prec@5 65.625 (66.787) Epoch: [11][7410/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5398 (2.7168) Prec@1 46.875 (41.488) Prec@5 67.969 (66.788) Epoch: [11][7420/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8243 (2.7167) Prec@1 45.312 (41.490) Prec@5 67.188 (66.790) Epoch: [11][7430/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.0603 (2.7168) Prec@1 35.938 (41.490) Prec@5 61.719 (66.790) Epoch: [11][7440/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 3.1003 (2.7168) Prec@1 35.938 (41.488) Prec@5 62.500 (66.791) Epoch: [11][7450/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8968 (2.7168) Prec@1 39.844 (41.488) Prec@5 60.156 (66.790) Epoch: [11][7460/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0558 (2.7169) Prec@1 38.281 (41.485) Prec@5 66.406 (66.788) Epoch: [11][7470/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4015 (2.7169) Prec@1 39.062 (41.484) Prec@5 71.875 (66.789) Epoch: [11][7480/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.7786 (2.7170) Prec@1 44.531 (41.483) Prec@5 67.969 (66.786) Epoch: [11][7490/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7046 (2.7170) Prec@1 35.156 (41.484) Prec@5 66.406 (66.787) Epoch: [11][7500/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7001 (2.7170) Prec@1 41.406 (41.483) Prec@5 70.312 (66.787) Epoch: [11][7510/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6382 (2.7170) Prec@1 35.938 (41.483) Prec@5 66.406 (66.785) Epoch: [11][7520/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5816 (2.7171) Prec@1 45.312 (41.482) Prec@5 69.531 (66.784) Epoch: [11][7530/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6648 (2.7169) Prec@1 37.500 (41.483) Prec@5 67.188 (66.789) Epoch: [11][7540/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8502 (2.7170) Prec@1 37.500 (41.481) Prec@5 69.531 (66.787) Epoch: [11][7550/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6992 (2.7170) Prec@1 39.844 (41.482) Prec@5 71.875 (66.789) Epoch: [11][7560/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3761 (2.7170) Prec@1 46.094 (41.483) Prec@5 75.000 (66.789) Epoch: [11][7570/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6288 (2.7172) Prec@1 40.625 (41.480) Prec@5 67.188 (66.785) Epoch: [11][7580/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8163 (2.7172) Prec@1 36.719 (41.480) Prec@5 67.188 (66.785) Epoch: [11][7590/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8903 (2.7173) Prec@1 41.406 (41.480) Prec@5 64.844 (66.784) Epoch: [11][7600/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6677 (2.7174) Prec@1 41.406 (41.476) Prec@5 64.844 (66.781) Epoch: [11][7610/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.2527 (2.7175) Prec@1 43.750 (41.476) Prec@5 73.438 (66.781) Epoch: [11][7620/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.6110 (2.7175) Prec@1 42.188 (41.476) Prec@5 68.750 (66.780) Epoch: [11][7630/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4669 (2.7173) Prec@1 50.781 (41.479) Prec@5 72.656 (66.784) Epoch: [11][7640/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.9370 (2.7175) Prec@1 35.156 (41.475) Prec@5 58.594 (66.780) Epoch: [11][7650/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.8562 (2.7176) Prec@1 39.844 (41.475) Prec@5 63.281 (66.778) Epoch: [11][7660/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7974 (2.7177) Prec@1 39.062 (41.476) Prec@5 62.500 (66.776) Epoch: [11][7670/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7614 (2.7177) Prec@1 42.969 (41.477) Prec@5 67.188 (66.776) Epoch: [11][7680/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4830 (2.7177) Prec@1 43.750 (41.479) Prec@5 70.312 (66.775) Epoch: [11][7690/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4715 (2.7176) Prec@1 42.188 (41.479) Prec@5 66.406 (66.777) Epoch: [11][7700/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8474 (2.7176) Prec@1 29.688 (41.477) Prec@5 64.062 (66.776) Epoch: [11][7710/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0361 (2.7178) Prec@1 41.406 (41.474) Prec@5 58.594 (66.772) Epoch: [11][7720/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7616 (2.7179) Prec@1 36.719 (41.474) Prec@5 63.281 (66.772) Epoch: [11][7730/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.3311 (2.7178) Prec@1 47.656 (41.477) Prec@5 74.219 (66.774) Epoch: [11][7740/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8569 (2.7180) Prec@1 42.188 (41.474) Prec@5 66.406 (66.770) Epoch: [11][7750/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7270 (2.7180) Prec@1 37.500 (41.476) Prec@5 67.969 (66.771) Epoch: [11][7760/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.0068 (2.7180) Prec@1 35.938 (41.475) Prec@5 64.844 (66.771) Epoch: [11][7770/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5890 (2.7180) Prec@1 39.844 (41.473) Prec@5 66.406 (66.771) Epoch: [11][7780/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7217 (2.7179) Prec@1 38.281 (41.474) Prec@5 66.406 (66.772) Epoch: [11][7790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9659 (2.7180) Prec@1 36.719 (41.473) Prec@5 60.938 (66.767) Epoch: [11][7800/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7643 (2.7181) Prec@1 38.281 (41.470) Prec@5 64.844 (66.765) Epoch: [11][7810/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4630 (2.7182) Prec@1 50.000 (41.468) Prec@5 72.656 (66.764) Epoch: [11][7820/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4965 (2.7181) Prec@1 44.531 (41.468) Prec@5 73.438 (66.767) Epoch: [11][7830/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5325 (2.7180) Prec@1 47.656 (41.470) Prec@5 67.188 (66.767) Epoch: [11][7840/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7626 (2.7182) Prec@1 38.281 (41.465) Prec@5 71.094 (66.765) Epoch: [11][7850/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8141 (2.7182) Prec@1 35.938 (41.462) Prec@5 62.500 (66.765) Epoch: [11][7860/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8008 (2.7182) Prec@1 39.062 (41.462) Prec@5 67.188 (66.766) Epoch: [11][7870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9389 (2.7182) Prec@1 38.281 (41.462) Prec@5 63.281 (66.764) Epoch: [11][7880/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7485 (2.7182) Prec@1 33.594 (41.464) Prec@5 62.500 (66.766) Epoch: [11][7890/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4922 (2.7181) Prec@1 48.438 (41.467) Prec@5 67.969 (66.767) Epoch: [11][7900/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7823 (2.7181) Prec@1 41.406 (41.467) Prec@5 67.969 (66.767) Epoch: [11][7910/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5583 (2.7182) Prec@1 42.969 (41.466) Prec@5 71.875 (66.767) Epoch: [11][7920/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8277 (2.7183) Prec@1 36.719 (41.466) Prec@5 65.625 (66.765) Epoch: [11][7930/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.9256 (2.7182) Prec@1 35.938 (41.465) Prec@5 66.406 (66.766) Epoch: [11][7940/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8500 (2.7181) Prec@1 39.844 (41.466) Prec@5 65.625 (66.767) Epoch: [11][7950/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5940 (2.7181) Prec@1 43.750 (41.467) Prec@5 73.438 (66.772) Epoch: [11][7960/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8036 (2.7180) Prec@1 38.281 (41.469) Prec@5 63.281 (66.771) Epoch: [11][7970/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8433 (2.7181) Prec@1 42.188 (41.467) Prec@5 62.500 (66.770) Epoch: [11][7980/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7447 (2.7181) Prec@1 35.156 (41.466) Prec@5 67.188 (66.769) Epoch: [11][7990/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6116 (2.7181) Prec@1 40.625 (41.466) Prec@5 71.094 (66.768) Epoch: [11][8000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5968 (2.7181) Prec@1 40.625 (41.465) Prec@5 68.750 (66.769) Epoch: [11][8010/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3699 (2.7181) Prec@1 43.750 (41.461) Prec@5 73.438 (66.769) Epoch: [11][8020/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7981 (2.7180) Prec@1 40.625 (41.463) Prec@5 67.188 (66.770) Epoch: [11][8030/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.2319 (2.7180) Prec@1 50.781 (41.464) Prec@5 74.219 (66.771) Epoch: [11][8040/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7989 (2.7180) Prec@1 42.969 (41.463) Prec@5 64.844 (66.770) Epoch: [11][8050/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4726 (2.7180) Prec@1 48.438 (41.465) Prec@5 69.531 (66.772) Epoch: [11][8060/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7502 (2.7180) Prec@1 39.844 (41.467) Prec@5 64.062 (66.772) Epoch: [11][8070/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5144 (2.7180) Prec@1 41.406 (41.466) Prec@5 68.750 (66.772) Epoch: [11][8080/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.2364 (2.7180) Prec@1 33.594 (41.465) Prec@5 60.938 (66.772) Epoch: [11][8090/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8201 (2.7181) Prec@1 39.844 (41.465) Prec@5 60.938 (66.769) Epoch: [11][8100/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0052 (2.7182) Prec@1 39.062 (41.464) Prec@5 65.625 (66.769) Epoch: [11][8110/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.0961 (2.7182) Prec@1 40.625 (41.466) Prec@5 61.719 (66.771) Epoch: [11][8120/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.8020 (2.7181) Prec@1 39.844 (41.466) Prec@5 62.500 (66.771) Epoch: [11][8130/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.1728 (2.7181) Prec@1 37.500 (41.466) Prec@5 58.594 (66.771) Epoch: [11][8140/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7411 (2.7181) Prec@1 43.750 (41.468) Prec@5 66.406 (66.770) Epoch: [11][8150/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5899 (2.7181) Prec@1 42.969 (41.466) Prec@5 69.531 (66.769) Epoch: [11][8160/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9903 (2.7180) Prec@1 32.812 (41.468) Prec@5 59.375 (66.771) Epoch: [11][8170/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6966 (2.7179) Prec@1 43.750 (41.472) Prec@5 67.188 (66.773) Epoch: [11][8180/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7641 (2.7178) Prec@1 38.281 (41.472) Prec@5 67.188 (66.774) Epoch: [11][8190/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9855 (2.7178) Prec@1 35.938 (41.472) Prec@5 57.031 (66.770) Epoch: [11][8200/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7059 (2.7178) Prec@1 39.062 (41.471) Prec@5 67.969 (66.772) Epoch: [11][8210/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6790 (2.7177) Prec@1 41.406 (41.472) Prec@5 67.188 (66.774) Epoch: [11][8220/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5973 (2.7175) Prec@1 39.844 (41.476) Prec@5 67.188 (66.777) Epoch: [11][8230/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8728 (2.7175) Prec@1 33.594 (41.475) Prec@5 67.969 (66.776) Epoch: [11][8240/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.1227 (2.7175) Prec@1 50.781 (41.475) Prec@5 77.344 (66.777) Epoch: [11][8250/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.3603 (2.7175) Prec@1 46.875 (41.473) Prec@5 71.094 (66.776) Epoch: [11][8260/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.2127 (2.7176) Prec@1 35.156 (41.473) Prec@5 57.031 (66.776) Epoch: [11][8270/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8698 (2.7177) Prec@1 41.406 (41.471) Prec@5 64.062 (66.775) Epoch: [11][8280/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.4718 (2.7176) Prec@1 43.750 (41.473) Prec@5 72.656 (66.775) Epoch: [11][8290/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6564 (2.7177) Prec@1 47.656 (41.471) Prec@5 67.188 (66.772) Epoch: [11][8300/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9358 (2.7177) Prec@1 39.062 (41.469) Prec@5 63.281 (66.773) Epoch: [11][8310/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4666 (2.7176) Prec@1 46.094 (41.470) Prec@5 71.875 (66.773) Epoch: [11][8320/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7433 (2.7177) Prec@1 41.406 (41.470) Prec@5 68.750 (66.773) Epoch: [11][8330/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9816 (2.7179) Prec@1 40.625 (41.469) Prec@5 63.281 (66.772) Epoch: [11][8340/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4980 (2.7178) Prec@1 40.625 (41.468) Prec@5 67.188 (66.773) Epoch: [11][8350/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8729 (2.7178) Prec@1 31.250 (41.468) Prec@5 64.844 (66.772) Epoch: [11][8360/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7279 (2.7178) Prec@1 41.406 (41.466) Prec@5 71.094 (66.773) Epoch: [11][8370/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5942 (2.7178) Prec@1 42.188 (41.467) Prec@5 69.531 (66.772) Epoch: [11][8380/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5944 (2.7177) Prec@1 42.969 (41.469) Prec@5 67.969 (66.774) Epoch: [11][8390/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7197 (2.7177) Prec@1 38.281 (41.469) Prec@5 67.188 (66.775) Epoch: [11][8400/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6594 (2.7176) Prec@1 45.312 (41.470) Prec@5 67.188 (66.775) Epoch: [11][8410/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9110 (2.7177) Prec@1 38.281 (41.468) Prec@5 60.156 (66.774) Epoch: [11][8420/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.2160 (2.7177) Prec@1 32.812 (41.467) Prec@5 57.031 (66.773) Epoch: [11][8430/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7826 (2.7176) Prec@1 44.531 (41.468) Prec@5 64.062 (66.774) Epoch: [11][8440/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7834 (2.7175) Prec@1 44.531 (41.470) Prec@5 67.969 (66.775) /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: [11][8450/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6153 (2.7176) Prec@1 42.969 (41.469) Prec@5 71.094 (66.775) Epoch: [11][8460/10010] Time 0.331 (0.332) Data 0.002 (0.001) Loss 2.8244 (2.7177) Prec@1 43.750 (41.466) Prec@5 61.719 (66.773) Epoch: [11][8470/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5668 (2.7176) Prec@1 45.312 (41.468) Prec@5 67.969 (66.775) Epoch: [11][8480/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6249 (2.7176) Prec@1 44.531 (41.468) Prec@5 71.094 (66.774) Epoch: [11][8490/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4426 (2.7176) Prec@1 42.969 (41.468) Prec@5 72.656 (66.775) Epoch: [11][8500/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9816 (2.7178) Prec@1 37.500 (41.466) Prec@5 67.188 (66.772) Epoch: [11][8510/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5780 (2.7178) Prec@1 42.188 (41.466) Prec@5 73.438 (66.772) Epoch: [11][8520/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5655 (2.7178) Prec@1 46.875 (41.467) Prec@5 67.969 (66.772) Epoch: [11][8530/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.5010 (2.7179) Prec@1 44.531 (41.466) Prec@5 70.312 (66.771) Epoch: [11][8540/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5494 (2.7179) Prec@1 46.875 (41.469) Prec@5 75.000 (66.771) Epoch: [11][8550/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5952 (2.7178) Prec@1 44.531 (41.470) Prec@5 67.969 (66.771) Epoch: [11][8560/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8085 (2.7180) Prec@1 41.406 (41.466) Prec@5 64.844 (66.768) Epoch: [11][8570/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6955 (2.7180) Prec@1 42.969 (41.467) Prec@5 64.844 (66.766) Epoch: [11][8580/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7950 (2.7181) Prec@1 38.281 (41.467) Prec@5 60.938 (66.766) Epoch: [11][8590/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.9222 (2.7181) Prec@1 39.844 (41.465) Prec@5 61.719 (66.765) Epoch: [11][8600/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.3587 (2.7179) Prec@1 46.094 (41.468) Prec@5 67.969 (66.768) Epoch: [11][8610/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.1733 (2.7180) Prec@1 32.031 (41.466) Prec@5 63.281 (66.766) Epoch: [11][8620/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6433 (2.7181) Prec@1 40.625 (41.464) Prec@5 68.750 (66.765) Epoch: [11][8630/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6153 (2.7180) Prec@1 44.531 (41.465) Prec@5 71.875 (66.766) Epoch: [11][8640/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.1500 (2.7181) Prec@1 33.594 (41.464) Prec@5 60.156 (66.764) Epoch: [11][8650/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.3846 (2.7180) Prec@1 42.969 (41.466) Prec@5 76.562 (66.764) Epoch: [11][8660/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5499 (2.7182) Prec@1 44.531 (41.463) Prec@5 71.875 (66.762) Epoch: [11][8670/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8066 (2.7183) Prec@1 39.844 (41.462) Prec@5 61.719 (66.761) Epoch: [11][8680/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8788 (2.7183) Prec@1 47.656 (41.462) Prec@5 67.969 (66.760) Epoch: [11][8690/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4303 (2.7183) Prec@1 46.094 (41.462) Prec@5 68.750 (66.759) Epoch: [11][8700/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5964 (2.7182) Prec@1 42.188 (41.463) Prec@5 65.625 (66.761) Epoch: [11][8710/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7003 (2.7182) Prec@1 38.281 (41.463) Prec@5 70.312 (66.762) Epoch: [11][8720/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7625 (2.7183) Prec@1 37.500 (41.461) Prec@5 68.750 (66.762) Epoch: [11][8730/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7751 (2.7183) Prec@1 38.281 (41.460) Prec@5 64.844 (66.762) Epoch: [11][8740/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6748 (2.7183) Prec@1 35.156 (41.461) Prec@5 71.875 (66.765) Epoch: [11][8750/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7463 (2.7182) Prec@1 42.969 (41.463) Prec@5 66.406 (66.766) Epoch: [11][8760/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.1151 (2.7182) Prec@1 35.938 (41.463) Prec@5 57.031 (66.765) Epoch: [11][8770/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6003 (2.7183) Prec@1 43.750 (41.461) Prec@5 68.750 (66.762) Epoch: [11][8780/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7439 (2.7181) Prec@1 42.188 (41.464) Prec@5 67.969 (66.766) Epoch: [11][8790/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6621 (2.7181) Prec@1 43.750 (41.465) Prec@5 65.625 (66.766) Epoch: [11][8800/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.9592 (2.7180) Prec@1 42.188 (41.468) Prec@5 65.625 (66.767) Epoch: [11][8810/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7341 (2.7180) Prec@1 40.625 (41.467) Prec@5 64.062 (66.766) Epoch: [11][8820/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6137 (2.7181) Prec@1 40.625 (41.465) Prec@5 68.750 (66.764) Epoch: [11][8830/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6019 (2.7181) Prec@1 42.969 (41.463) Prec@5 67.969 (66.763) Epoch: [11][8840/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9581 (2.7182) Prec@1 41.406 (41.463) Prec@5 64.844 (66.763) Epoch: [11][8850/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.0014 (2.7182) Prec@1 36.719 (41.461) Prec@5 64.062 (66.762) Epoch: [11][8860/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8033 (2.7183) Prec@1 47.656 (41.461) Prec@5 64.062 (66.760) Epoch: [11][8870/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5071 (2.7183) Prec@1 45.312 (41.460) Prec@5 69.531 (66.760) Epoch: [11][8880/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8829 (2.7182) Prec@1 39.062 (41.461) Prec@5 65.625 (66.763) Epoch: [11][8890/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7433 (2.7182) Prec@1 39.062 (41.459) Prec@5 65.625 (66.762) Epoch: [11][8900/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.6876 (2.7182) Prec@1 38.281 (41.458) Prec@5 70.312 (66.763) Epoch: [11][8910/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4493 (2.7182) Prec@1 43.750 (41.458) Prec@5 68.750 (66.762) Epoch: [11][8920/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6613 (2.7182) Prec@1 43.750 (41.458) Prec@5 67.969 (66.763) Epoch: [11][8930/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5766 (2.7181) Prec@1 42.188 (41.462) Prec@5 70.312 (66.765) Epoch: [11][8940/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.2474 (2.7181) Prec@1 42.188 (41.462) Prec@5 57.812 (66.764) Epoch: [11][8950/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7372 (2.7181) Prec@1 34.375 (41.463) Prec@5 67.188 (66.766) Epoch: [11][8960/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6732 (2.7181) Prec@1 32.031 (41.462) Prec@5 65.625 (66.766) Epoch: [11][8970/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6555 (2.7182) Prec@1 46.094 (41.461) Prec@5 66.406 (66.764) Epoch: [11][8980/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.7592 (2.7181) Prec@1 41.406 (41.461) Prec@5 68.750 (66.766) Epoch: [11][8990/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4769 (2.7183) Prec@1 43.750 (41.459) Prec@5 65.625 (66.764) Epoch: [11][9000/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.5602 (2.7182) Prec@1 42.188 (41.460) Prec@5 68.750 (66.766) Epoch: [11][9010/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6162 (2.7183) Prec@1 42.188 (41.459) Prec@5 67.969 (66.763) Epoch: [11][9020/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7122 (2.7183) Prec@1 46.094 (41.460) Prec@5 68.750 (66.763) Epoch: [11][9030/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7354 (2.7184) Prec@1 39.844 (41.458) Prec@5 69.531 (66.762) Epoch: [11][9040/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4370 (2.7185) Prec@1 46.875 (41.457) Prec@5 71.094 (66.759) Epoch: [11][9050/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8972 (2.7186) Prec@1 32.812 (41.454) Prec@5 63.281 (66.758) Epoch: [11][9060/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9781 (2.7186) Prec@1 39.062 (41.453) Prec@5 63.281 (66.757) Epoch: [11][9070/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 3.1803 (2.7186) Prec@1 37.500 (41.452) Prec@5 60.938 (66.758) Epoch: [11][9080/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3472 (2.7185) Prec@1 43.750 (41.451) Prec@5 71.875 (66.759) Epoch: [11][9090/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8621 (2.7185) Prec@1 40.625 (41.451) Prec@5 63.281 (66.760) Epoch: [11][9100/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.9015 (2.7186) Prec@1 42.188 (41.450) Prec@5 64.062 (66.759) Epoch: [11][9110/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6104 (2.7187) Prec@1 39.844 (41.448) Prec@5 69.531 (66.758) Epoch: [11][9120/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5845 (2.7187) Prec@1 40.625 (41.447) Prec@5 67.188 (66.757) Epoch: [11][9130/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.0644 (2.7188) Prec@1 38.281 (41.448) Prec@5 60.938 (66.757) Epoch: [11][9140/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.9464 (2.7187) Prec@1 37.500 (41.451) Prec@5 60.156 (66.756) Epoch: [11][9150/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7372 (2.7186) Prec@1 47.656 (41.452) Prec@5 67.969 (66.757) Epoch: [11][9160/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6755 (2.7184) Prec@1 45.312 (41.453) Prec@5 69.531 (66.759) Epoch: [11][9170/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.5356 (2.7184) Prec@1 43.750 (41.454) Prec@5 67.969 (66.761) Epoch: [11][9180/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7517 (2.7183) Prec@1 42.188 (41.455) Prec@5 62.500 (66.762) Epoch: [11][9190/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5039 (2.7182) Prec@1 46.094 (41.456) Prec@5 67.188 (66.762) Epoch: [11][9200/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.0555 (2.7182) Prec@1 33.594 (41.457) Prec@5 64.062 (66.764) Epoch: [11][9210/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6952 (2.7184) Prec@1 38.281 (41.452) Prec@5 67.969 (66.762) Epoch: [11][9220/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6936 (2.7184) Prec@1 42.188 (41.451) Prec@5 67.188 (66.763) Epoch: [11][9230/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4729 (2.7184) Prec@1 43.750 (41.450) Prec@5 70.312 (66.763) Epoch: [11][9240/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.4901 (2.7185) Prec@1 42.188 (41.450) Prec@5 72.656 (66.763) Epoch: [11][9250/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7312 (2.7184) Prec@1 41.406 (41.450) Prec@5 65.625 (66.765) Epoch: [11][9260/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9352 (2.7185) Prec@1 38.281 (41.448) Prec@5 62.500 (66.763) Epoch: [11][9270/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6013 (2.7185) Prec@1 40.625 (41.447) Prec@5 65.625 (66.762) Epoch: [11][9280/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4918 (2.7184) Prec@1 43.750 (41.447) Prec@5 71.875 (66.764) Epoch: [11][9290/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4382 (2.7183) Prec@1 45.312 (41.448) Prec@5 70.312 (66.766) Epoch: [11][9300/10010] Time 0.311 (0.331) Data 0.000 (0.001) Loss 2.7240 (2.7182) Prec@1 35.938 (41.449) Prec@5 63.281 (66.766) Epoch: [11][9310/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6344 (2.7182) Prec@1 39.844 (41.449) Prec@5 67.188 (66.766) Epoch: [11][9320/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8785 (2.7183) Prec@1 40.625 (41.448) Prec@5 64.062 (66.765) Epoch: [11][9330/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6511 (2.7181) Prec@1 44.531 (41.452) Prec@5 68.750 (66.767) Epoch: [11][9340/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7048 (2.7180) Prec@1 46.875 (41.455) Prec@5 71.875 (66.770) Epoch: [11][9350/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7214 (2.7179) Prec@1 46.875 (41.458) Prec@5 68.750 (66.773) Epoch: [11][9360/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4583 (2.7179) Prec@1 44.531 (41.455) Prec@5 67.188 (66.771) Epoch: [11][9370/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9040 (2.7179) Prec@1 35.156 (41.454) Prec@5 63.281 (66.772) Epoch: [11][9380/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7592 (2.7179) Prec@1 39.062 (41.454) Prec@5 67.969 (66.773) Epoch: [11][9390/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5813 (2.7179) Prec@1 47.656 (41.454) Prec@5 65.625 (66.773) Epoch: [11][9400/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7747 (2.7180) Prec@1 41.406 (41.453) Prec@5 64.062 (66.773) Epoch: [11][9410/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2262 (2.7179) Prec@1 42.969 (41.455) Prec@5 72.656 (66.774) Epoch: [11][9420/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.6400 (2.7180) Prec@1 39.844 (41.453) Prec@5 72.656 (66.774) Epoch: [11][9430/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6498 (2.7180) Prec@1 41.406 (41.452) Prec@5 66.406 (66.772) Epoch: [11][9440/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7106 (2.7181) Prec@1 41.406 (41.452) Prec@5 66.406 (66.770) Epoch: [11][9450/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.3861 (2.7181) Prec@1 44.531 (41.453) Prec@5 71.094 (66.768) Epoch: [11][9460/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5636 (2.7181) Prec@1 42.188 (41.453) Prec@5 68.750 (66.767) Epoch: [11][9470/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6807 (2.7182) Prec@1 46.094 (41.451) Prec@5 68.750 (66.765) Epoch: [11][9480/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7854 (2.7183) Prec@1 45.312 (41.451) Prec@5 68.750 (66.764) Epoch: [11][9490/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7938 (2.7182) Prec@1 45.312 (41.453) Prec@5 65.625 (66.765) Epoch: [11][9500/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5891 (2.7182) Prec@1 41.406 (41.452) Prec@5 68.750 (66.766) Epoch: [11][9510/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7242 (2.7182) Prec@1 37.500 (41.450) Prec@5 67.188 (66.766) Epoch: [11][9520/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6877 (2.7183) Prec@1 48.438 (41.448) Prec@5 67.188 (66.763) Epoch: [11][9530/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8186 (2.7183) Prec@1 40.625 (41.449) Prec@5 61.719 (66.763) Epoch: [11][9540/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6338 (2.7184) Prec@1 39.062 (41.449) Prec@5 66.406 (66.762) Epoch: [11][9550/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5976 (2.7184) Prec@1 39.844 (41.449) Prec@5 74.219 (66.762) Epoch: [11][9560/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7141 (2.7184) Prec@1 38.281 (41.447) Prec@5 68.750 (66.763) Epoch: [11][9570/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6921 (2.7184) Prec@1 36.719 (41.447) Prec@5 63.281 (66.763) Epoch: [11][9580/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0516 (2.7184) Prec@1 35.938 (41.448) Prec@5 60.156 (66.763) Epoch: [11][9590/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6247 (2.7184) Prec@1 43.750 (41.448) Prec@5 71.875 (66.762) Epoch: [11][9600/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9807 (2.7185) Prec@1 32.031 (41.446) Prec@5 63.281 (66.760) Epoch: [11][9610/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8729 (2.7186) Prec@1 39.844 (41.443) Prec@5 60.938 (66.759) Epoch: [11][9620/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4950 (2.7186) Prec@1 42.188 (41.443) Prec@5 67.188 (66.760) Epoch: [11][9630/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6823 (2.7187) Prec@1 45.312 (41.443) Prec@5 66.406 (66.759) Epoch: [11][9640/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9412 (2.7188) Prec@1 35.938 (41.442) Prec@5 62.500 (66.758) Epoch: [11][9650/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7251 (2.7188) Prec@1 42.188 (41.442) Prec@5 64.062 (66.758) Epoch: [11][9660/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7414 (2.7188) Prec@1 38.281 (41.439) Prec@5 64.844 (66.756) Epoch: [11][9670/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9993 (2.7190) Prec@1 32.812 (41.438) Prec@5 60.938 (66.753) Epoch: [11][9680/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6181 (2.7190) Prec@1 39.844 (41.437) Prec@5 70.312 (66.752) Epoch: [11][9690/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7624 (2.7190) Prec@1 39.062 (41.439) Prec@5 64.062 (66.752) Epoch: [11][9700/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1688 (2.7190) Prec@1 32.031 (41.436) Prec@5 60.938 (66.752) Epoch: [11][9710/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6700 (2.7190) Prec@1 41.406 (41.436) Prec@5 67.969 (66.753) Epoch: [11][9720/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.9033 (2.7190) Prec@1 35.156 (41.435) Prec@5 59.375 (66.753) Epoch: [11][9730/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9000 (2.7190) Prec@1 39.844 (41.435) Prec@5 65.625 (66.753) Epoch: [11][9740/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7227 (2.7191) Prec@1 39.062 (41.434) Prec@5 67.188 (66.753) Epoch: [11][9750/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5572 (2.7191) Prec@1 47.656 (41.434) Prec@5 68.750 (66.752) Epoch: [11][9760/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0212 (2.7191) Prec@1 36.719 (41.433) Prec@5 58.594 (66.751) Epoch: [11][9770/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7237 (2.7192) Prec@1 39.062 (41.432) Prec@5 64.062 (66.749) Epoch: [11][9780/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1596 (2.7192) Prec@1 36.719 (41.433) Prec@5 60.156 (66.751) Epoch: [11][9790/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5852 (2.7191) Prec@1 50.000 (41.433) Prec@5 71.875 (66.751) Epoch: [11][9800/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9163 (2.7192) Prec@1 38.281 (41.432) Prec@5 65.625 (66.751) Epoch: [11][9810/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8574 (2.7192) Prec@1 35.156 (41.430) Prec@5 64.844 (66.749) Epoch: [11][9820/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5412 (2.7193) Prec@1 41.406 (41.429) Prec@5 70.312 (66.748) Epoch: [11][9830/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7687 (2.7192) Prec@1 40.625 (41.429) Prec@5 67.969 (66.750) Epoch: [11][9840/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9344 (2.7193) Prec@1 36.719 (41.428) Prec@5 64.844 (66.748) Epoch: [11][9850/10010] Time 0.307 (0.331) Data 0.001 (0.001) Loss 2.6220 (2.7193) Prec@1 38.281 (41.429) Prec@5 64.844 (66.748) Epoch: [11][9860/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6055 (2.7193) Prec@1 39.844 (41.428) Prec@5 66.406 (66.749) Epoch: [11][9870/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0741 (2.7193) Prec@1 32.812 (41.428) Prec@5 60.938 (66.750) Epoch: [11][9880/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9362 (2.7193) Prec@1 38.281 (41.428) Prec@5 64.062 (66.750) Epoch: [11][9890/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5291 (2.7193) Prec@1 39.062 (41.427) Prec@5 68.750 (66.750) Epoch: [11][9900/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.4839 (2.7194) Prec@1 43.750 (41.426) Prec@5 68.750 (66.750) Epoch: [11][9910/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7291 (2.7195) Prec@1 43.750 (41.424) Prec@5 67.969 (66.748) Epoch: [11][9920/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6445 (2.7195) Prec@1 46.094 (41.425) Prec@5 67.188 (66.748) Epoch: [11][9930/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5334 (2.7195) Prec@1 44.531 (41.425) Prec@5 72.656 (66.746) Epoch: [11][9940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6085 (2.7196) Prec@1 45.312 (41.424) Prec@5 70.312 (66.745) Epoch: [11][9950/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.9434 (2.7197) Prec@1 37.500 (41.423) Prec@5 62.500 (66.743) Epoch: [11][9960/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6566 (2.7197) Prec@1 45.312 (41.425) Prec@5 68.750 (66.744) Epoch: [11][9970/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6374 (2.7197) Prec@1 38.281 (41.424) Prec@5 66.406 (66.743) Epoch: [11][9980/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9747 (2.7197) Prec@1 37.500 (41.424) Prec@5 60.938 (66.743) Epoch: [11][9990/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7692 (2.7198) Prec@1 38.281 (41.421) Prec@5 64.062 (66.742) Epoch: [11][10000/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8107 (2.7198) Prec@1 41.406 (41.421) Prec@5 65.625 (66.743) Test: [0/391] Time 1.432 (1.432) Loss 1.5376 (1.5376) Prec@1 69.531 (69.531) Prec@5 82.812 (82.812) Test: [10/391] Time 0.101 (0.227) Loss 2.7213 (1.7178) Prec@1 36.719 (58.665) Prec@5 69.531 (83.239) Test: [20/391] Time 0.107 (0.169) Loss 1.9409 (2.1579) Prec@1 51.562 (49.628) Prec@5 82.031 (76.116) Test: [30/391] Time 0.103 (0.153) Loss 2.0773 (2.1609) Prec@1 47.656 (48.412) Prec@5 76.562 (76.663) Test: [40/391] Time 0.107 (0.142) Loss 2.7238 (1.9952) Prec@1 38.281 (52.515) Prec@5 63.281 (78.392) Test: [50/391] Time 0.103 (0.135) Loss 1.2843 (2.0595) Prec@1 64.844 (51.486) Prec@5 89.062 (77.436) Test: [60/391] Time 0.106 (0.130) Loss 1.9026 (1.9834) Prec@1 51.562 (52.882) Prec@5 80.469 (78.714) Test: [70/391] Time 0.170 (0.128) Loss 2.7276 (2.0352) Prec@1 30.469 (51.397) Prec@5 70.312 (78.136) Test: [80/391] Time 0.105 (0.125) Loss 2.2096 (2.0993) Prec@1 53.125 (49.961) Prec@5 71.094 (77.006) Test: [90/391] Time 0.104 (0.123) Loss 1.7394 (2.1346) Prec@1 42.969 (49.176) Prec@5 87.500 (76.640) Test: [100/391] Time 0.113 (0.121) Loss 3.2941 (2.1315) Prec@1 18.750 (48.639) Prec@5 63.281 (76.942) Test: [110/391] Time 0.109 (0.120) Loss 1.6546 (2.1115) Prec@1 55.469 (48.775) Prec@5 89.844 (77.470) Test: [120/391] Time 0.109 (0.119) Loss 1.2137 (2.0637) Prec@1 62.500 (49.755) Prec@5 92.188 (78.267) Test: [130/391] Time 0.107 (0.119) Loss 1.7138 (2.0510) Prec@1 60.156 (50.137) Prec@5 82.031 (78.322) Test: [140/391] Time 0.106 (0.118) Loss 3.0505 (2.0562) Prec@1 25.781 (50.111) Prec@5 66.406 (78.247) Test: [150/391] Time 0.118 (0.117) Loss 2.6956 (2.0536) Prec@1 15.625 (50.145) Prec@5 73.438 (78.291) Test: [160/391] Time 0.103 (0.117) Loss 2.2233 (2.0638) Prec@1 48.438 (50.039) Prec@5 79.688 (78.217) Test: [170/391] Time 0.105 (0.116) Loss 2.8136 (2.1231) Prec@1 33.594 (49.045) Prec@5 68.750 (77.289) Test: [180/391] Time 0.104 (0.116) Loss 3.8193 (2.1642) Prec@1 25.781 (48.446) Prec@5 56.250 (76.597) Test: [190/391] Time 0.104 (0.115) Loss 2.6178 (2.2020) Prec@1 43.750 (47.820) Prec@5 67.969 (75.924) Test: [200/391] Time 0.104 (0.115) Loss 3.2944 (2.2475) Prec@1 32.812 (47.124) Prec@5 53.906 (75.140) Test: [210/391] Time 0.103 (0.114) Loss 2.4573 (2.2694) Prec@1 47.656 (46.875) Prec@5 72.656 (74.793) Test: [220/391] Time 0.117 (0.114) Loss 1.8653 (2.2874) Prec@1 57.031 (46.684) Prec@5 75.000 (74.441) Test: [230/391] Time 0.103 (0.114) Loss 4.0718 (2.3060) Prec@1 17.969 (46.469) Prec@5 46.875 (74.097) Test: [240/391] Time 0.109 (0.114) Loss 2.4663 (2.3143) Prec@1 44.531 (46.499) Prec@5 72.656 (73.924) Test: [250/391] Time 0.104 (0.113) Loss 2.1151 (2.3320) Prec@1 60.156 (46.212) Prec@5 74.219 (73.677) Test: [260/391] Time 0.103 (0.113) Loss 2.9772 (2.3468) Prec@1 38.281 (45.989) Prec@5 64.062 (73.461) Test: [270/391] Time 0.102 (0.113) Loss 3.2854 (2.3593) Prec@1 29.688 (45.829) Prec@5 61.719 (73.204) Test: [280/391] Time 0.106 (0.113) Loss 2.2409 (2.3858) Prec@1 42.188 (45.404) Prec@5 76.562 (72.787) Test: [290/391] Time 0.107 (0.113) Loss 3.2743 (2.4045) Prec@1 33.594 (45.240) Prec@5 64.062 (72.487) Test: [300/391] Time 0.107 (0.112) Loss 2.8118 (2.4249) Prec@1 43.750 (45.009) Prec@5 71.094 (72.176) Test: [310/391] Time 0.106 (0.112) Loss 2.6426 (2.4386) Prec@1 48.438 (44.868) Prec@5 70.312 (71.938) Test: [320/391] Time 0.115 (0.112) Loss 2.1352 (2.4486) Prec@1 47.656 (44.741) Prec@5 78.906 (71.761) Test: [330/391] Time 0.112 (0.112) Loss 3.2795 (2.4747) Prec@1 35.156 (44.295) Prec@5 56.250 (71.301) Test: [340/391] Time 0.105 (0.112) Loss 2.5723 (2.4892) Prec@1 34.375 (43.997) Prec@5 72.656 (71.016) Test: [350/391] Time 0.104 (0.112) Loss 2.6270 (2.5006) Prec@1 46.875 (43.886) Prec@5 71.094 (70.816) Test: [360/391] Time 0.107 (0.112) Loss 2.1367 (2.5062) Prec@1 42.969 (43.800) Prec@5 77.344 (70.754) Test: [370/391] Time 0.108 (0.112) Loss 1.8329 (2.5060) Prec@1 49.219 (43.758) Prec@5 84.375 (70.757) Test: [380/391] Time 0.102 (0.112) Loss 1.7677 (2.5072) Prec@1 61.719 (43.797) Prec@5 81.250 (70.749) Test: [390/391] Time 0.070 (0.111) Loss 4.4148 (2.4953) Prec@1 21.250 (44.116) Prec@5 41.250 (70.926) * Prec@1 44.116 Prec@5 70.926 Epoch: [12][0/10010] Time 2.732 (2.732) Data 2.549 (2.549) Loss 2.6966 (2.6966) Prec@1 44.531 (44.531) Prec@5 67.969 (67.969) Epoch: [12][10/10010] Time 0.324 (0.541) Data 0.000 (0.237) Loss 2.6808 (2.7541) Prec@1 41.406 (40.909) Prec@5 74.219 (67.188) Epoch: [12][20/10010] Time 0.320 (0.436) Data 0.000 (0.124) Loss 2.9239 (2.7519) Prec@1 39.062 (40.551) Prec@5 67.188 (66.443) Epoch: [12][30/10010] Time 0.319 (0.399) Data 0.001 (0.084) Loss 2.5973 (2.7842) Prec@1 47.656 (40.020) Prec@5 70.312 (65.549) Epoch: [12][40/10010] Time 0.336 (0.383) Data 0.000 (0.064) Loss 2.4772 (2.7483) Prec@1 39.844 (40.625) Prec@5 71.094 (66.273) Epoch: [12][50/10010] Time 0.323 (0.373) Data 0.001 (0.051) Loss 2.6181 (2.7381) Prec@1 42.188 (40.794) Prec@5 77.344 (66.912) Epoch: [12][60/10010] Time 0.343 (0.367) Data 0.001 (0.043) Loss 2.5778 (2.7348) Prec@1 42.969 (40.830) Prec@5 69.531 (67.059) Epoch: [12][70/10010] Time 0.324 (0.361) Data 0.001 (0.037) Loss 2.6783 (2.7200) Prec@1 45.312 (41.087) Prec@5 69.531 (67.154) Epoch: [12][80/10010] Time 0.346 (0.357) Data 0.000 (0.033) Loss 2.4302 (2.7182) Prec@1 50.000 (41.252) Prec@5 71.094 (67.226) Epoch: [12][90/10010] Time 0.340 (0.355) Data 0.000 (0.029) Loss 2.7101 (2.7118) Prec@1 37.500 (41.277) Prec@5 64.062 (67.230) Epoch: [12][100/10010] Time 0.320 (0.352) Data 0.001 (0.026) Loss 2.2197 (2.7188) Prec@1 56.250 (41.166) Prec@5 74.219 (67.071) Epoch: [12][110/10010] Time 0.324 (0.350) Data 0.001 (0.024) Loss 2.6761 (2.7127) Prec@1 39.844 (41.336) Prec@5 69.531 (67.145) Epoch: [12][120/10010] Time 0.328 (0.348) Data 0.001 (0.022) Loss 2.6395 (2.7034) Prec@1 44.531 (41.555) Prec@5 65.625 (67.304) Epoch: [12][130/10010] Time 0.326 (0.347) Data 0.000 (0.020) Loss 3.0830 (2.6972) Prec@1 31.250 (41.567) Prec@5 64.062 (67.378) Epoch: [12][140/10010] Time 0.339 (0.346) Data 0.001 (0.019) Loss 2.5666 (2.6958) Prec@1 44.531 (41.694) Prec@5 67.969 (67.337) Epoch: [12][150/10010] Time 0.326 (0.345) Data 0.001 (0.018) Loss 2.7430 (2.6958) Prec@1 38.281 (41.794) Prec@5 64.062 (67.358) Epoch: [12][160/10010] Time 0.337 (0.344) Data 0.001 (0.017) Loss 2.7596 (2.6909) Prec@1 39.062 (41.814) Prec@5 64.844 (67.479) Epoch: [12][170/10010] Time 0.345 (0.343) Data 0.000 (0.016) Loss 2.6816 (2.6913) Prec@1 42.969 (41.872) Prec@5 64.844 (67.379) Epoch: [12][180/10010] Time 0.338 (0.342) Data 0.000 (0.015) Loss 2.7356 (2.6894) Prec@1 41.406 (41.885) Prec@5 64.844 (67.390) Epoch: [12][190/10010] Time 0.329 (0.342) Data 0.001 (0.014) Loss 2.5867 (2.6924) Prec@1 42.969 (41.873) Prec@5 64.062 (67.335) Epoch: [12][200/10010] Time 0.336 (0.341) Data 0.000 (0.014) Loss 2.5648 (2.6889) Prec@1 45.312 (41.919) Prec@5 67.969 (67.320) Epoch: [12][210/10010] Time 0.324 (0.341) Data 0.000 (0.013) Loss 2.2588 (2.6836) Prec@1 50.781 (42.062) Prec@5 71.875 (67.391) Epoch: [12][220/10010] Time 0.325 (0.340) Data 0.001 (0.012) Loss 2.7244 (2.6858) Prec@1 42.969 (41.944) Prec@5 66.406 (67.301) Epoch: [12][230/10010] Time 0.336 (0.339) Data 0.000 (0.012) Loss 2.6498 (2.6875) Prec@1 45.312 (41.951) Prec@5 63.281 (67.218) Epoch: [12][240/10010] Time 0.326 (0.339) Data 0.000 (0.011) Loss 2.9058 (2.6898) Prec@1 39.844 (41.954) Prec@5 66.406 (67.197) Epoch: [12][250/10010] Time 0.323 (0.339) Data 0.001 (0.011) Loss 2.5539 (2.6920) Prec@1 41.406 (41.942) Prec@5 68.750 (67.159) Epoch: [12][260/10010] Time 0.334 (0.338) Data 0.001 (0.011) Loss 2.7580 (2.6960) Prec@1 38.281 (41.792) Prec@5 63.281 (67.095) Epoch: [12][270/10010] Time 0.323 (0.338) Data 0.000 (0.010) Loss 2.5612 (2.6939) Prec@1 50.781 (41.833) Prec@5 67.969 (67.121) Epoch: [12][280/10010] Time 0.318 (0.338) Data 0.001 (0.010) Loss 2.4804 (2.6927) Prec@1 50.000 (41.821) Prec@5 69.531 (67.157) Epoch: [12][290/10010] Time 0.328 (0.338) Data 0.000 (0.010) Loss 2.6219 (2.6940) Prec@1 39.844 (41.787) Prec@5 68.750 (67.126) Epoch: [12][300/10010] Time 0.330 (0.337) Data 0.000 (0.009) Loss 2.9526 (2.6946) Prec@1 40.625 (41.803) Prec@5 60.156 (67.125) Epoch: [12][310/10010] Time 0.320 (0.337) Data 0.001 (0.009) Loss 2.6218 (2.6941) Prec@1 44.531 (41.846) Prec@5 66.406 (67.142) Epoch: [12][320/10010] Time 0.332 (0.337) Data 0.000 (0.009) Loss 3.1980 (2.6940) Prec@1 39.062 (41.857) Prec@5 59.375 (67.149) Epoch: [12][330/10010] Time 0.319 (0.336) Data 0.000 (0.008) Loss 3.0923 (2.6950) Prec@1 36.719 (41.798) Prec@5 63.281 (67.140) Epoch: [12][340/10010] Time 0.323 (0.336) Data 0.000 (0.008) Loss 2.4114 (2.6951) Prec@1 44.531 (41.771) Prec@5 71.875 (67.121) Epoch: [12][350/10010] Time 0.345 (0.336) Data 0.000 (0.008) Loss 2.5403 (2.6925) Prec@1 42.969 (41.765) Prec@5 71.875 (67.136) Epoch: [12][360/10010] Time 0.343 (0.336) Data 0.000 (0.008) Loss 2.9675 (2.6915) Prec@1 39.062 (41.753) Prec@5 64.062 (67.177) Epoch: [12][370/10010] Time 0.324 (0.336) Data 0.001 (0.008) Loss 3.0248 (2.6909) Prec@1 42.188 (41.747) Prec@5 60.156 (67.166) Epoch: [12][380/10010] Time 0.336 (0.336) Data 0.001 (0.007) Loss 2.9377 (2.6906) Prec@1 36.719 (41.745) Prec@5 61.719 (67.190) Epoch: [12][390/10010] Time 0.333 (0.336) Data 0.001 (0.007) Loss 2.6062 (2.6888) Prec@1 46.094 (41.792) Prec@5 69.531 (67.225) Epoch: [12][400/10010] Time 0.345 (0.336) Data 0.000 (0.007) Loss 2.5309 (2.6899) Prec@1 47.656 (41.778) Prec@5 73.438 (67.225) Epoch: [12][410/10010] Time 0.320 (0.336) Data 0.000 (0.007) Loss 2.7048 (2.6903) Prec@1 44.531 (41.767) Prec@5 62.500 (67.201) Epoch: [12][420/10010] Time 0.325 (0.336) Data 0.001 (0.007) Loss 2.7504 (2.6884) Prec@1 41.406 (41.794) Prec@5 67.969 (67.236) Epoch: [12][430/10010] Time 0.341 (0.335) Data 0.000 (0.007) Loss 3.3360 (2.6896) Prec@1 31.250 (41.781) Prec@5 57.031 (67.238) Epoch: [12][440/10010] Time 0.335 (0.336) Data 0.001 (0.006) Loss 2.8650 (2.6892) Prec@1 43.750 (41.738) Prec@5 64.844 (67.251) Epoch: [12][450/10010] Time 0.329 (0.335) Data 0.001 (0.006) Loss 2.4981 (2.6893) Prec@1 44.531 (41.742) Prec@5 71.094 (67.260) Epoch: [12][460/10010] Time 0.326 (0.335) Data 0.000 (0.006) Loss 2.7400 (2.6887) Prec@1 35.156 (41.718) Prec@5 66.406 (67.293) Epoch: [12][470/10010] Time 0.326 (0.335) Data 0.000 (0.006) Loss 2.6482 (2.6885) Prec@1 38.281 (41.693) Prec@5 63.281 (67.300) Epoch: [12][480/10010] Time 0.327 (0.335) Data 0.000 (0.006) Loss 2.7300 (2.6897) Prec@1 40.625 (41.673) Prec@5 64.844 (67.275) Epoch: [12][490/10010] Time 0.321 (0.335) Data 0.000 (0.006) Loss 2.3563 (2.6890) Prec@1 44.531 (41.705) Prec@5 70.312 (67.265) Epoch: [12][500/10010] Time 0.328 (0.335) Data 0.001 (0.006) Loss 3.1846 (2.6915) Prec@1 32.031 (41.664) Prec@5 61.719 (67.242) Epoch: [12][510/10010] Time 0.324 (0.335) Data 0.001 (0.006) Loss 2.7617 (2.6955) Prec@1 36.719 (41.617) Prec@5 67.188 (67.174) Epoch: [12][520/10010] Time 0.340 (0.335) Data 0.001 (0.006) Loss 2.6329 (2.6957) Prec@1 42.969 (41.598) Prec@5 67.188 (67.159) Epoch: [12][530/10010] Time 0.319 (0.335) Data 0.001 (0.005) Loss 2.7106 (2.6956) Prec@1 44.531 (41.599) Prec@5 67.969 (67.142) Epoch: [12][540/10010] Time 0.333 (0.334) Data 0.001 (0.005) Loss 2.7291 (2.6947) Prec@1 43.750 (41.610) Prec@5 66.406 (67.130) Epoch: [12][550/10010] Time 0.338 (0.335) Data 0.000 (0.005) Loss 2.2729 (2.6924) Prec@1 52.344 (41.667) Prec@5 75.781 (67.175) Epoch: [12][560/10010] Time 0.336 (0.335) Data 0.001 (0.005) Loss 2.9707 (2.6918) Prec@1 42.188 (41.724) Prec@5 64.062 (67.189) Epoch: [12][570/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 2.5993 (2.6909) Prec@1 45.312 (41.743) Prec@5 70.312 (67.222) Epoch: [12][580/10010] Time 0.334 (0.334) Data 0.000 (0.005) Loss 2.7275 (2.6924) Prec@1 42.969 (41.745) Prec@5 66.406 (67.189) Epoch: [12][590/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 2.7873 (2.6930) Prec@1 35.938 (41.737) Prec@5 71.875 (67.191) Epoch: [12][600/10010] Time 0.343 (0.334) Data 0.001 (0.005) Loss 2.6590 (2.6916) Prec@1 39.062 (41.785) Prec@5 68.750 (67.221) Epoch: [12][610/10010] Time 0.318 (0.334) Data 0.001 (0.005) Loss 2.7152 (2.6943) Prec@1 46.875 (41.749) Prec@5 67.188 (67.152) Epoch: [12][620/10010] Time 0.330 (0.334) Data 0.000 (0.005) Loss 2.6273 (2.6943) Prec@1 40.625 (41.769) Prec@5 70.312 (67.146) Epoch: [12][630/10010] Time 0.331 (0.334) Data 0.000 (0.005) Loss 2.5098 (2.6943) Prec@1 48.438 (41.773) Prec@5 71.875 (67.138) Epoch: [12][640/10010] Time 0.340 (0.334) Data 0.001 (0.005) Loss 2.7786 (2.6923) Prec@1 43.750 (41.784) Prec@5 65.625 (67.148) Epoch: [12][650/10010] Time 0.344 (0.334) Data 0.000 (0.005) Loss 2.6914 (2.6918) Prec@1 40.625 (41.801) Prec@5 65.625 (67.168) Epoch: [12][660/10010] Time 0.337 (0.334) Data 0.000 (0.005) Loss 2.6113 (2.6901) Prec@1 41.406 (41.821) Prec@5 66.406 (67.210) Epoch: [12][670/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 2.5501 (2.6892) Prec@1 42.969 (41.846) Prec@5 71.094 (67.203) Epoch: [12][680/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.7766 (2.6892) Prec@1 39.844 (41.856) Prec@5 67.188 (67.220) Epoch: [12][690/10010] Time 0.341 (0.334) Data 0.000 (0.004) Loss 2.7949 (2.6895) Prec@1 39.844 (41.866) Prec@5 67.188 (67.206) Epoch: [12][700/10010] Time 0.332 (0.334) Data 0.001 (0.004) Loss 2.6935 (2.6889) Prec@1 40.625 (41.891) Prec@5 62.500 (67.205) Epoch: [12][710/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.8799 (2.6894) Prec@1 34.375 (41.908) Prec@5 64.844 (67.203) Epoch: [12][720/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.6868 (2.6898) Prec@1 43.750 (41.910) Prec@5 66.406 (67.205) Epoch: [12][730/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 2.5080 (2.6887) Prec@1 41.406 (41.930) Prec@5 75.000 (67.221) Epoch: [12][740/10010] Time 0.339 (0.334) Data 0.000 (0.004) Loss 2.8098 (2.6897) Prec@1 38.281 (41.944) Prec@5 63.281 (67.210) Epoch: [12][750/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 2.6254 (2.6892) Prec@1 42.969 (41.953) Prec@5 67.969 (67.219) Epoch: [12][760/10010] Time 0.323 (0.334) Data 0.000 (0.004) Loss 2.6644 (2.6877) Prec@1 39.844 (41.976) Prec@5 65.625 (67.260) Epoch: [12][770/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 2.8641 (2.6874) Prec@1 39.062 (41.956) Prec@5 67.188 (67.265) Epoch: [12][780/10010] Time 0.323 (0.333) Data 0.001 (0.004) Loss 3.0796 (2.6877) Prec@1 33.594 (41.946) Prec@5 60.156 (67.259) Epoch: [12][790/10010] Time 0.318 (0.333) Data 0.001 (0.004) Loss 2.3660 (2.6884) Prec@1 50.000 (41.944) Prec@5 76.562 (67.250) Epoch: [12][800/10010] Time 0.335 (0.333) Data 0.000 (0.004) Loss 2.4397 (2.6882) Prec@1 46.875 (41.950) Prec@5 71.875 (67.267) Epoch: [12][810/10010] Time 0.331 (0.333) Data 0.001 (0.004) Loss 2.5295 (2.6876) Prec@1 43.750 (41.966) Prec@5 67.969 (67.280) Epoch: [12][820/10010] Time 0.347 (0.333) Data 0.000 (0.004) Loss 2.3491 (2.6874) Prec@1 46.094 (41.957) Prec@5 67.188 (67.266) Epoch: [12][830/10010] Time 0.319 (0.333) Data 0.000 (0.004) Loss 2.7907 (2.6878) Prec@1 39.062 (41.960) Prec@5 65.625 (67.251) Epoch: [12][840/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 2.5565 (2.6884) Prec@1 45.312 (41.960) Prec@5 73.438 (67.247) Epoch: [12][850/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 2.6561 (2.6888) Prec@1 39.844 (41.949) Prec@5 69.531 (67.232) Epoch: [12][860/10010] Time 0.320 (0.333) Data 0.001 (0.004) Loss 2.8826 (2.6876) Prec@1 35.938 (41.972) Prec@5 60.938 (67.251) Epoch: [12][870/10010] Time 0.335 (0.333) Data 0.001 (0.004) Loss 3.1464 (2.6873) Prec@1 37.500 (41.984) Prec@5 57.812 (67.252) Epoch: [12][880/10010] Time 0.329 (0.333) Data 0.001 (0.004) Loss 2.3612 (2.6863) Prec@1 47.656 (41.996) Prec@5 70.312 (67.266) Epoch: [12][890/10010] Time 0.341 (0.333) Data 0.000 (0.004) Loss 2.5982 (2.6866) Prec@1 43.750 (41.989) Prec@5 64.062 (67.248) Epoch: [12][900/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.5800 (2.6878) Prec@1 38.281 (41.971) Prec@5 70.312 (67.223) Epoch: [12][910/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.3797 (2.6880) Prec@1 44.531 (41.959) Prec@5 73.438 (67.204) Epoch: [12][920/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.7478 (2.6881) Prec@1 46.094 (41.973) Prec@5 64.062 (67.187) Epoch: [12][930/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 2.5961 (2.6891) Prec@1 42.969 (41.929) Prec@5 67.188 (67.190) Epoch: [12][940/10010] Time 0.315 (0.333) Data 0.000 (0.003) Loss 2.8488 (2.6893) Prec@1 39.062 (41.925) Prec@5 64.062 (67.198) Epoch: [12][950/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 2.9952 (2.6902) Prec@1 37.500 (41.907) Prec@5 60.938 (67.188) Epoch: [12][960/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.8593 (2.6896) Prec@1 36.719 (41.921) Prec@5 59.375 (67.193) Epoch: [12][970/10010] Time 0.344 (0.333) Data 0.000 (0.003) Loss 2.8180 (2.6899) Prec@1 35.938 (41.906) Prec@5 60.156 (67.183) Epoch: [12][980/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.7056 (2.6897) Prec@1 41.406 (41.908) Prec@5 68.750 (67.175) Epoch: [12][990/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.4708 (2.6881) Prec@1 45.312 (41.937) Prec@5 70.312 (67.201) Epoch: [12][1000/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.8137 (2.6892) Prec@1 46.094 (41.920) Prec@5 67.188 (67.179) Epoch: [12][1010/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 3.0505 (2.6887) Prec@1 35.156 (41.911) Prec@5 67.969 (67.194) Epoch: [12][1020/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 2.3407 (2.6879) Prec@1 45.312 (41.925) Prec@5 70.312 (67.214) Epoch: [12][1030/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 2.8097 (2.6880) Prec@1 39.062 (41.922) Prec@5 63.281 (67.209) Epoch: [12][1040/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 2.5879 (2.6881) Prec@1 42.969 (41.924) Prec@5 67.188 (67.201) Epoch: [12][1050/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.6164 (2.6879) Prec@1 39.062 (41.932) Prec@5 71.094 (67.208) Epoch: [12][1060/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.8487 (2.6885) Prec@1 37.500 (41.930) Prec@5 64.844 (67.197) Epoch: [12][1070/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 2.5708 (2.6882) Prec@1 47.656 (41.958) Prec@5 70.312 (67.198) Epoch: [12][1080/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.7052 (2.6880) Prec@1 43.750 (41.970) Prec@5 64.062 (67.193) Epoch: [12][1090/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.8234 (2.6886) Prec@1 36.719 (41.967) Prec@5 60.938 (67.177) Epoch: [12][1100/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 2.6905 (2.6890) Prec@1 36.719 (41.946) Prec@5 65.625 (67.175) Epoch: [12][1110/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.8521 (2.6892) Prec@1 41.406 (41.950) Prec@5 68.750 (67.178) Epoch: [12][1120/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.5818 (2.6889) Prec@1 48.438 (41.959) Prec@5 71.094 (67.188) Epoch: [12][1130/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.3373 (2.6881) Prec@1 44.531 (41.971) Prec@5 75.000 (67.206) Epoch: [12][1140/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.7988 (2.6875) Prec@1 35.938 (41.977) Prec@5 63.281 (67.218) Epoch: [12][1150/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 3.0178 (2.6893) Prec@1 39.844 (41.947) Prec@5 66.406 (67.192) Epoch: [12][1160/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.5535 (2.6888) Prec@1 43.750 (41.952) Prec@5 71.094 (67.192) Epoch: [12][1170/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 2.8344 (2.6894) Prec@1 37.500 (41.937) Prec@5 65.625 (67.187) Epoch: [12][1180/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 2.5954 (2.6895) Prec@1 46.875 (41.951) Prec@5 67.188 (67.186) Epoch: [12][1190/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.7103 (2.6897) Prec@1 44.531 (41.955) Prec@5 70.312 (67.187) Epoch: [12][1200/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.9184 (2.6898) Prec@1 39.062 (41.951) Prec@5 61.719 (67.171) Epoch: [12][1210/10010] Time 0.318 (0.332) Data 0.000 (0.003) Loss 2.5468 (2.6905) Prec@1 45.312 (41.941) Prec@5 66.406 (67.168) Epoch: [12][1220/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.6519 (2.6908) Prec@1 40.625 (41.945) Prec@5 71.094 (67.166) Epoch: [12][1230/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.9740 (2.6913) Prec@1 36.719 (41.932) Prec@5 63.281 (67.150) Epoch: [12][1240/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 3.0760 (2.6917) Prec@1 38.281 (41.923) Prec@5 59.375 (67.139) Epoch: [12][1250/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 2.6827 (2.6914) Prec@1 40.625 (41.938) Prec@5 67.969 (67.146) Epoch: [12][1260/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 2.6996 (2.6926) Prec@1 39.844 (41.921) Prec@5 66.406 (67.127) Epoch: [12][1270/10010] Time 0.348 (0.332) Data 0.001 (0.003) Loss 2.7322 (2.6918) Prec@1 46.875 (41.943) Prec@5 70.312 (67.144) Epoch: [12][1280/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 3.0471 (2.6924) Prec@1 39.844 (41.941) Prec@5 57.812 (67.138) /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: [12][1290/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.3833 (2.6924) Prec@1 42.969 (41.932) Prec@5 73.438 (67.142) Epoch: [12][1300/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.5125 (2.6925) Prec@1 38.281 (41.932) Prec@5 74.219 (67.150) Epoch: [12][1310/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 2.7717 (2.6919) Prec@1 39.844 (41.937) Prec@5 68.750 (67.158) Epoch: [12][1320/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 2.5055 (2.6912) Prec@1 44.531 (41.951) Prec@5 68.750 (67.168) Epoch: [12][1330/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.6559 (2.6911) Prec@1 39.844 (41.946) Prec@5 66.406 (67.169) Epoch: [12][1340/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.5015 (2.6906) Prec@1 46.094 (41.956) Prec@5 69.531 (67.182) Epoch: [12][1350/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 2.4922 (2.6902) Prec@1 42.188 (41.964) Prec@5 73.438 (67.196) Epoch: [12][1360/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 2.7869 (2.6900) Prec@1 37.500 (41.961) Prec@5 64.062 (67.203) Epoch: [12][1370/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.5680 (2.6910) Prec@1 42.188 (41.947) Prec@5 75.781 (67.184) Epoch: [12][1380/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.9183 (2.6912) Prec@1 38.281 (41.945) Prec@5 60.938 (67.178) Epoch: [12][1390/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.6032 (2.6909) Prec@1 42.188 (41.947) Prec@5 69.531 (67.192) Epoch: [12][1400/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.4964 (2.6917) Prec@1 44.531 (41.922) Prec@5 75.000 (67.186) Epoch: [12][1410/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.6307 (2.6915) Prec@1 39.844 (41.920) Prec@5 69.531 (67.191) Epoch: [12][1420/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.4636 (2.6913) Prec@1 46.875 (41.918) Prec@5 70.312 (67.190) Epoch: [12][1430/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.6362 (2.6916) Prec@1 40.625 (41.915) Prec@5 69.531 (67.188) Epoch: [12][1440/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.8856 (2.6914) Prec@1 39.844 (41.915) Prec@5 64.062 (67.196) Epoch: [12][1450/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9024 (2.6916) Prec@1 36.719 (41.922) Prec@5 62.500 (67.199) Epoch: [12][1460/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.4757 (2.6917) Prec@1 43.750 (41.907) Prec@5 71.875 (67.195) Epoch: [12][1470/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.6934 (2.6918) Prec@1 35.938 (41.911) Prec@5 67.188 (67.188) Epoch: [12][1480/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5356 (2.6918) Prec@1 39.844 (41.903) Prec@5 71.094 (67.186) Epoch: [12][1490/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.7430 (2.6921) Prec@1 45.312 (41.907) Prec@5 67.969 (67.178) Epoch: [12][1500/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.3291 (2.6929) Prec@1 46.094 (41.904) Prec@5 73.438 (67.168) Epoch: [12][1510/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.2472 (2.6925) Prec@1 53.125 (41.911) Prec@5 74.219 (67.175) Epoch: [12][1520/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 3.0054 (2.6927) Prec@1 31.250 (41.908) Prec@5 64.844 (67.173) Epoch: [12][1530/10010] Time 0.313 (0.332) Data 0.001 (0.002) Loss 2.3760 (2.6922) Prec@1 43.750 (41.918) Prec@5 73.438 (67.174) Epoch: [12][1540/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.3324 (2.6914) Prec@1 48.438 (41.931) Prec@5 71.094 (67.178) /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: [12][1550/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.7979 (2.6918) Prec@1 37.500 (41.930) Prec@5 62.500 (67.164) Epoch: [12][1560/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.8706 (2.6917) Prec@1 39.062 (41.933) Prec@5 64.062 (67.165) Epoch: [12][1570/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.2702 (2.6910) Prec@1 50.000 (41.948) Prec@5 76.562 (67.173) Epoch: [12][1580/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7735 (2.6915) Prec@1 36.719 (41.931) Prec@5 65.625 (67.172) Epoch: [12][1590/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.6457 (2.6915) Prec@1 42.969 (41.933) Prec@5 68.750 (67.165) Epoch: [12][1600/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.7282 (2.6918) Prec@1 40.625 (41.932) Prec@5 65.625 (67.157) Epoch: [12][1610/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6823 (2.6922) Prec@1 50.000 (41.927) Prec@5 67.969 (67.154) Epoch: [12][1620/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 2.8707 (2.6922) Prec@1 36.719 (41.934) Prec@5 64.062 (67.156) Epoch: [12][1630/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.3050 (2.6919) Prec@1 43.750 (41.937) Prec@5 74.219 (67.161) Epoch: [12][1640/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7339 (2.6921) Prec@1 33.594 (41.929) Prec@5 66.406 (67.152) Epoch: [12][1650/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.9523 (2.6918) Prec@1 39.062 (41.937) Prec@5 64.844 (67.154) Epoch: [12][1660/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.8294 (2.6920) Prec@1 39.062 (41.937) Prec@5 65.625 (67.141) Epoch: [12][1670/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6569 (2.6918) Prec@1 39.844 (41.945) Prec@5 64.062 (67.138) Epoch: [12][1680/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.4144 (2.6917) Prec@1 50.000 (41.938) Prec@5 73.438 (67.146) Epoch: [12][1690/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.6592 (2.6922) Prec@1 49.219 (41.941) Prec@5 67.188 (67.136) Epoch: [12][1700/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6348 (2.6923) Prec@1 42.188 (41.930) Prec@5 71.094 (67.147) Epoch: [12][1710/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6559 (2.6920) Prec@1 40.625 (41.932) Prec@5 67.969 (67.146) Epoch: [12][1720/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.6285 (2.6921) Prec@1 42.969 (41.922) Prec@5 71.875 (67.143) Epoch: [12][1730/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.5963 (2.6929) Prec@1 45.312 (41.909) Prec@5 69.531 (67.135) Epoch: [12][1740/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.7406 (2.6929) Prec@1 36.719 (41.913) Prec@5 67.969 (67.141) Epoch: [12][1750/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.4135 (2.6929) Prec@1 42.969 (41.908) Prec@5 70.312 (67.136) Epoch: [12][1760/10010] Time 0.353 (0.332) Data 0.001 (0.002) Loss 2.6378 (2.6925) Prec@1 42.969 (41.914) Prec@5 67.969 (67.151) Epoch: [12][1770/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 3.0396 (2.6924) Prec@1 37.500 (41.921) Prec@5 58.594 (67.151) Epoch: [12][1780/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.6689 (2.6924) Prec@1 39.844 (41.922) Prec@5 70.312 (67.148) Epoch: [12][1790/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7069 (2.6921) Prec@1 40.625 (41.921) Prec@5 64.844 (67.148) Epoch: [12][1800/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.7836 (2.6929) Prec@1 41.406 (41.903) Prec@5 64.844 (67.134) Epoch: [12][1810/10010] Time 0.314 (0.332) Data 0.000 (0.002) Loss 2.8211 (2.6930) Prec@1 40.625 (41.901) Prec@5 65.625 (67.140) Epoch: [12][1820/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.3533 (2.6918) Prec@1 48.438 (41.921) Prec@5 75.000 (67.155) Epoch: [12][1830/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.8705 (2.6915) Prec@1 35.938 (41.921) Prec@5 66.406 (67.168) Epoch: [12][1840/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.5273 (2.6922) Prec@1 43.750 (41.905) Prec@5 73.438 (67.157) Epoch: [12][1850/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.8185 (2.6916) Prec@1 41.406 (41.918) Prec@5 63.281 (67.169) Epoch: [12][1860/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.8704 (2.6920) Prec@1 39.062 (41.912) Prec@5 61.719 (67.161) Epoch: [12][1870/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.6825 (2.6921) Prec@1 40.625 (41.911) Prec@5 67.969 (67.160) Epoch: [12][1880/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.7245 (2.6919) Prec@1 45.312 (41.919) Prec@5 68.750 (67.161) Epoch: [12][1890/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9784 (2.6922) Prec@1 39.844 (41.917) Prec@5 65.625 (67.156) Epoch: [12][1900/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5296 (2.6922) Prec@1 41.406 (41.917) Prec@5 73.438 (67.162) Epoch: [12][1910/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.9559 (2.6926) Prec@1 37.500 (41.909) Prec@5 61.719 (67.151) Epoch: [12][1920/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 3.1317 (2.6930) Prec@1 32.812 (41.897) Prec@5 55.469 (67.142) Epoch: [12][1930/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6297 (2.6931) Prec@1 39.844 (41.901) Prec@5 67.969 (67.145) Epoch: [12][1940/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.7369 (2.6936) Prec@1 39.062 (41.888) Prec@5 67.969 (67.138) Epoch: [12][1950/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 3.0532 (2.6943) Prec@1 39.844 (41.882) Prec@5 61.719 (67.126) Epoch: [12][1960/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.9293 (2.6942) Prec@1 41.406 (41.884) Prec@5 62.500 (67.131) Epoch: [12][1970/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7165 (2.6945) Prec@1 43.750 (41.879) Prec@5 67.969 (67.126) Epoch: [12][1980/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6820 (2.6945) Prec@1 39.844 (41.879) Prec@5 70.312 (67.125) Epoch: [12][1990/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.7591 (2.6946) Prec@1 41.406 (41.879) Prec@5 67.188 (67.128) Epoch: [12][2000/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6032 (2.6949) Prec@1 45.312 (41.879) Prec@5 68.750 (67.126) Epoch: [12][2010/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6250 (2.6949) Prec@1 42.969 (41.874) Prec@5 67.188 (67.125) Epoch: [12][2020/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.7648 (2.6947) Prec@1 46.875 (41.876) Prec@5 63.281 (67.129) Epoch: [12][2030/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.8848 (2.6948) Prec@1 44.531 (41.880) Prec@5 69.531 (67.126) Epoch: [12][2040/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.7913 (2.6948) Prec@1 38.281 (41.878) Prec@5 62.500 (67.123) Epoch: [12][2050/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.8005 (2.6946) Prec@1 40.625 (41.882) Prec@5 64.062 (67.126) Epoch: [12][2060/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.3552 (2.6948) Prec@1 50.000 (41.882) Prec@5 75.781 (67.125) Epoch: [12][2070/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.9265 (2.6947) Prec@1 40.625 (41.874) Prec@5 67.188 (67.126) Epoch: [12][2080/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.5542 (2.6942) Prec@1 40.625 (41.886) Prec@5 68.750 (67.132) /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: [12][2090/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5985 (2.6945) Prec@1 48.438 (41.882) Prec@5 67.969 (67.129) Epoch: [12][2100/10010] Time 0.315 (0.332) Data 0.000 (0.002) Loss 2.5489 (2.6943) Prec@1 45.312 (41.883) Prec@5 67.969 (67.135) Epoch: [12][2110/10010] Time 0.352 (0.332) Data 0.000 (0.002) Loss 3.0701 (2.6950) Prec@1 35.156 (41.880) Prec@5 63.281 (67.127) Epoch: [12][2120/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.5520 (2.6950) Prec@1 48.438 (41.884) Prec@5 70.312 (67.129) Epoch: [12][2130/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.3274 (2.6950) Prec@1 42.188 (41.882) Prec@5 73.438 (67.122) Epoch: [12][2140/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.3743 (2.6953) Prec@1 49.219 (41.880) Prec@5 70.312 (67.119) Epoch: [12][2150/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.7249 (2.6959) Prec@1 41.406 (41.871) Prec@5 68.750 (67.115) Epoch: [12][2160/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5802 (2.6960) Prec@1 50.000 (41.869) Prec@5 64.844 (67.111) Epoch: [12][2170/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.5880 (2.6963) Prec@1 43.750 (41.868) Prec@5 67.969 (67.108) Epoch: [12][2180/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7415 (2.6959) Prec@1 37.500 (41.873) Prec@5 68.750 (67.113) Epoch: [12][2190/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.6602 (2.6957) Prec@1 45.312 (41.873) Prec@5 71.875 (67.122) Epoch: [12][2200/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.8716 (2.6955) Prec@1 35.938 (41.874) Prec@5 66.406 (67.124) Epoch: [12][2210/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.7430 (2.6958) Prec@1 37.500 (41.867) Prec@5 64.062 (67.125) Epoch: [12][2220/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.7010 (2.6958) Prec@1 41.406 (41.865) Prec@5 68.750 (67.125) Epoch: [12][2230/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.8306 (2.6961) Prec@1 38.281 (41.864) Prec@5 69.531 (67.121) Epoch: [12][2240/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.7043 (2.6961) Prec@1 39.844 (41.861) Prec@5 68.750 (67.123) Epoch: [12][2250/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7113 (2.6963) Prec@1 36.719 (41.855) Prec@5 63.281 (67.121) Epoch: [12][2260/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.7217 (2.6964) Prec@1 38.281 (41.851) Prec@5 64.844 (67.119) Epoch: [12][2270/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.5278 (2.6964) Prec@1 38.281 (41.850) Prec@5 69.531 (67.118) /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: [12][2280/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.8314 (2.6962) Prec@1 43.750 (41.858) Prec@5 64.844 (67.122) Epoch: [12][2290/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5613 (2.6967) Prec@1 42.188 (41.853) Prec@5 67.969 (67.119) Epoch: [12][2300/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7573 (2.6964) Prec@1 42.969 (41.864) Prec@5 67.969 (67.128) Epoch: [12][2310/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.8603 (2.6965) Prec@1 37.500 (41.860) Prec@5 65.625 (67.126) Epoch: [12][2320/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.5364 (2.6966) Prec@1 42.188 (41.851) Prec@5 72.656 (67.126) Epoch: [12][2330/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.8561 (2.6970) Prec@1 41.406 (41.844) Prec@5 63.281 (67.122) Epoch: [12][2340/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.8040 (2.6972) Prec@1 35.156 (41.844) Prec@5 64.844 (67.114) Epoch: [12][2350/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.7286 (2.6968) Prec@1 40.625 (41.850) Prec@5 65.625 (67.128) Epoch: [12][2360/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.4890 (2.6968) Prec@1 45.312 (41.849) Prec@5 72.656 (67.130) Epoch: [12][2370/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 3.1456 (2.6972) Prec@1 34.375 (41.844) Prec@5 59.375 (67.117) Epoch: [12][2380/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.8166 (2.6976) Prec@1 39.062 (41.834) Prec@5 65.625 (67.112) Epoch: [12][2390/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.9647 (2.6980) Prec@1 40.625 (41.833) Prec@5 60.938 (67.105) Epoch: [12][2400/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.8721 (2.6980) Prec@1 35.938 (41.835) Prec@5 67.969 (67.104) Epoch: [12][2410/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7829 (2.6979) Prec@1 45.312 (41.837) Prec@5 64.062 (67.109) Epoch: [12][2420/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.6407 (2.6975) Prec@1 39.844 (41.842) Prec@5 67.188 (67.118) Epoch: [12][2430/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.4519 (2.6972) Prec@1 44.531 (41.847) Prec@5 72.656 (67.127) Epoch: [12][2440/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.8696 (2.6971) Prec@1 38.281 (41.843) Prec@5 62.500 (67.131) Epoch: [12][2450/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.5233 (2.6975) Prec@1 45.312 (41.840) Prec@5 69.531 (67.122) Epoch: [12][2460/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.7966 (2.6980) Prec@1 40.625 (41.830) Prec@5 64.062 (67.113) Epoch: [12][2470/10010] Time 0.313 (0.332) Data 0.001 (0.002) Loss 2.6630 (2.6979) Prec@1 42.188 (41.829) Prec@5 67.188 (67.114) Epoch: [12][2480/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.9441 (2.6980) Prec@1 40.625 (41.821) Prec@5 64.844 (67.112) Epoch: [12][2490/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.5241 (2.6980) Prec@1 45.312 (41.820) Prec@5 68.750 (67.111) Epoch: [12][2500/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7789 (2.6977) Prec@1 39.062 (41.834) Prec@5 67.188 (67.113) Epoch: [12][2510/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.8065 (2.6974) Prec@1 44.531 (41.830) Prec@5 65.625 (67.119) Epoch: [12][2520/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5865 (2.6980) Prec@1 43.750 (41.817) Prec@5 65.625 (67.104) Epoch: [12][2530/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.4992 (2.6982) Prec@1 42.969 (41.810) Prec@5 70.312 (67.103) Epoch: [12][2540/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6617 (2.6982) Prec@1 39.844 (41.807) Prec@5 66.406 (67.104) Epoch: [12][2550/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.5846 (2.6980) Prec@1 45.312 (41.814) Prec@5 65.625 (67.105) Epoch: [12][2560/10010] Time 0.323 (0.332) Data 0.003 (0.002) Loss 2.5648 (2.6982) Prec@1 44.531 (41.813) Prec@5 68.750 (67.096) Epoch: [12][2570/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.8465 (2.6982) Prec@1 36.719 (41.811) Prec@5 64.062 (67.094) Epoch: [12][2580/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.7666 (2.6985) Prec@1 38.281 (41.803) Prec@5 63.281 (67.089) Epoch: [12][2590/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.8091 (2.6984) Prec@1 42.188 (41.807) Prec@5 70.312 (67.093) Epoch: [12][2600/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.0510 (2.6985) Prec@1 39.062 (41.805) Prec@5 64.062 (67.094) Epoch: [12][2610/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6033 (2.6987) Prec@1 42.969 (41.802) Prec@5 63.281 (67.090) Epoch: [12][2620/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.8789 (2.6990) Prec@1 36.719 (41.792) Prec@5 64.062 (67.083) Epoch: [12][2630/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.9549 (2.6996) Prec@1 32.812 (41.778) Prec@5 64.844 (67.072) Epoch: [12][2640/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.8246 (2.6994) Prec@1 37.500 (41.781) Prec@5 66.406 (67.073) Epoch: [12][2650/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.4058 (2.6995) Prec@1 44.531 (41.778) Prec@5 72.656 (67.070) Epoch: [12][2660/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.2915 (2.6996) Prec@1 48.438 (41.777) Prec@5 71.094 (67.064) Epoch: [12][2670/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.6981 (2.6994) Prec@1 44.531 (41.780) Prec@5 66.406 (67.064) Epoch: [12][2680/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.6277 (2.6995) Prec@1 45.312 (41.781) Prec@5 69.531 (67.065) Epoch: [12][2690/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.5317 (2.6993) Prec@1 43.750 (41.786) Prec@5 70.312 (67.067) Epoch: [12][2700/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5085 (2.6993) Prec@1 46.094 (41.781) Prec@5 68.750 (67.064) Epoch: [12][2710/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.5939 (2.6990) Prec@1 45.312 (41.788) Prec@5 68.750 (67.069) Epoch: [12][2720/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6923 (2.6988) Prec@1 42.969 (41.798) Prec@5 67.969 (67.069) Epoch: [12][2730/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6178 (2.6987) Prec@1 45.312 (41.805) Prec@5 68.750 (67.067) Epoch: [12][2740/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.8347 (2.6986) Prec@1 41.406 (41.803) Prec@5 63.281 (67.066) Epoch: [12][2750/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.5832 (2.6988) Prec@1 44.531 (41.795) Prec@5 64.062 (67.058) Epoch: [12][2760/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.6297 (2.6988) Prec@1 43.750 (41.795) Prec@5 71.094 (67.053) Epoch: [12][2770/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.7655 (2.6988) Prec@1 36.719 (41.803) Prec@5 62.500 (67.054) Epoch: [12][2780/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.4407 (2.6986) Prec@1 41.406 (41.803) Prec@5 73.438 (67.057) Epoch: [12][2790/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.6841 (2.6982) Prec@1 42.188 (41.807) Prec@5 64.062 (67.065) Epoch: [12][2800/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6485 (2.6979) Prec@1 37.500 (41.807) Prec@5 70.312 (67.068) Epoch: [12][2810/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6890 (2.6984) Prec@1 39.844 (41.802) Prec@5 65.625 (67.061) Epoch: [12][2820/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.7540 (2.6982) Prec@1 43.750 (41.804) Prec@5 65.625 (67.065) Epoch: [12][2830/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.5132 (2.6982) Prec@1 41.406 (41.801) Prec@5 71.875 (67.067) Epoch: [12][2840/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7141 (2.6985) Prec@1 41.406 (41.796) Prec@5 64.844 (67.063) Epoch: [12][2850/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.7714 (2.6987) Prec@1 37.500 (41.793) Prec@5 64.062 (67.057) Epoch: [12][2860/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8605 (2.6988) Prec@1 39.062 (41.798) Prec@5 62.500 (67.056) Epoch: [12][2870/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.8364 (2.6985) Prec@1 39.062 (41.799) Prec@5 64.062 (67.062) Epoch: [12][2880/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.6660 (2.6984) Prec@1 36.719 (41.803) Prec@5 70.312 (67.065) Epoch: [12][2890/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.8498 (2.6986) Prec@1 39.062 (41.801) Prec@5 60.156 (67.060) Epoch: [12][2900/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.6728 (2.6988) Prec@1 40.625 (41.795) Prec@5 62.500 (67.054) Epoch: [12][2910/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.7617 (2.6986) Prec@1 38.281 (41.799) Prec@5 65.625 (67.059) Epoch: [12][2920/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7252 (2.6988) Prec@1 44.531 (41.794) Prec@5 68.750 (67.057) Epoch: [12][2930/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6001 (2.6992) Prec@1 38.281 (41.787) Prec@5 73.438 (67.049) Epoch: [12][2940/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9565 (2.6994) Prec@1 33.594 (41.789) Prec@5 64.062 (67.042) Epoch: [12][2950/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7944 (2.6994) Prec@1 46.094 (41.794) Prec@5 61.719 (67.042) Epoch: [12][2960/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9412 (2.6995) Prec@1 32.031 (41.789) Prec@5 62.500 (67.042) Epoch: [12][2970/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6719 (2.6996) Prec@1 39.844 (41.785) Prec@5 62.500 (67.039) Epoch: [12][2980/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9223 (2.6998) Prec@1 35.156 (41.783) Prec@5 64.844 (67.037) Epoch: [12][2990/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6079 (2.7002) Prec@1 42.969 (41.779) Prec@5 65.625 (67.032) Epoch: [12][3000/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7329 (2.7000) Prec@1 43.750 (41.785) Prec@5 67.188 (67.035) Epoch: [12][3010/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5873 (2.7000) Prec@1 42.969 (41.780) Prec@5 71.875 (67.034) Epoch: [12][3020/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.2002 (2.7004) Prec@1 35.156 (41.777) Prec@5 57.812 (67.028) Epoch: [12][3030/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6757 (2.7006) Prec@1 46.875 (41.775) Prec@5 64.844 (67.023) Epoch: [12][3040/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0416 (2.7007) Prec@1 40.625 (41.770) Prec@5 59.375 (67.018) Epoch: [12][3050/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8339 (2.7009) Prec@1 42.969 (41.768) Prec@5 66.406 (67.017) Epoch: [12][3060/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4623 (2.7007) Prec@1 41.406 (41.767) Prec@5 71.875 (67.020) Epoch: [12][3070/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.5722 (2.7006) Prec@1 44.531 (41.768) Prec@5 70.312 (67.022) Epoch: [12][3080/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6779 (2.7007) Prec@1 38.281 (41.766) Prec@5 62.500 (67.023) Epoch: [12][3090/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7077 (2.7007) Prec@1 40.625 (41.767) Prec@5 61.719 (67.021) Epoch: [12][3100/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8270 (2.7009) Prec@1 41.406 (41.764) Prec@5 71.094 (67.017) Epoch: [12][3110/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8322 (2.7010) Prec@1 45.312 (41.769) Prec@5 66.406 (67.022) Epoch: [12][3120/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.3165 (2.7008) Prec@1 44.531 (41.771) Prec@5 71.875 (67.026) Epoch: [12][3130/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4273 (2.7006) Prec@1 46.875 (41.771) Prec@5 74.219 (67.029) Epoch: [12][3140/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5454 (2.7006) Prec@1 41.406 (41.768) Prec@5 77.344 (67.034) Epoch: [12][3150/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6987 (2.7006) Prec@1 42.188 (41.765) Prec@5 68.750 (67.032) Epoch: [12][3160/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.0209 (2.7009) Prec@1 37.500 (41.762) Prec@5 62.500 (67.031) Epoch: [12][3170/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9452 (2.7013) Prec@1 37.500 (41.759) Prec@5 62.500 (67.027) Epoch: [12][3180/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7645 (2.7014) Prec@1 34.375 (41.756) Prec@5 66.406 (67.025) Epoch: [12][3190/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8701 (2.7017) Prec@1 42.969 (41.749) Prec@5 62.500 (67.022) Epoch: [12][3200/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6252 (2.7018) Prec@1 45.312 (41.748) Prec@5 67.188 (67.017) Epoch: [12][3210/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6094 (2.7017) Prec@1 47.656 (41.753) Prec@5 69.531 (67.018) Epoch: [12][3220/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6673 (2.7015) Prec@1 43.750 (41.752) Prec@5 65.625 (67.025) Epoch: [12][3230/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7289 (2.7015) Prec@1 44.531 (41.752) Prec@5 63.281 (67.023) Epoch: [12][3240/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7555 (2.7015) Prec@1 42.969 (41.750) Prec@5 67.188 (67.021) Epoch: [12][3250/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7054 (2.7020) Prec@1 40.625 (41.741) Prec@5 71.094 (67.016) Epoch: [12][3260/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5429 (2.7020) Prec@1 45.312 (41.740) Prec@5 67.188 (67.010) Epoch: [12][3270/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.8381 (2.7024) Prec@1 42.969 (41.732) Prec@5 61.719 (67.001) Epoch: [12][3280/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6087 (2.7024) Prec@1 42.188 (41.730) Prec@5 66.406 (67.002) Epoch: [12][3290/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6568 (2.7023) Prec@1 38.281 (41.733) Prec@5 67.188 (67.006) Epoch: [12][3300/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.3375 (2.7026) Prec@1 32.031 (41.729) Prec@5 54.688 (67.001) Epoch: [12][3310/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7693 (2.7024) Prec@1 40.625 (41.732) Prec@5 65.625 (67.007) Epoch: [12][3320/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5921 (2.7023) Prec@1 44.531 (41.733) Prec@5 70.312 (67.007) Epoch: [12][3330/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7338 (2.7023) Prec@1 40.625 (41.730) Prec@5 64.062 (67.008) /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: [12][3340/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.8928 (2.7021) Prec@1 37.500 (41.731) Prec@5 63.281 (67.013) Epoch: [12][3350/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7967 (2.7021) Prec@1 40.625 (41.735) Prec@5 67.969 (67.013) Epoch: [12][3360/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9489 (2.7030) Prec@1 38.281 (41.724) Prec@5 63.281 (66.996) Epoch: [12][3370/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7147 (2.7030) Prec@1 40.625 (41.725) Prec@5 69.531 (66.995) Epoch: [12][3380/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7634 (2.7032) Prec@1 34.375 (41.723) Prec@5 60.156 (66.986) Epoch: [12][3390/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.2058 (2.7032) Prec@1 28.125 (41.723) Prec@5 57.812 (66.984) Epoch: [12][3400/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7880 (2.7033) Prec@1 43.750 (41.723) Prec@5 66.406 (66.984) Epoch: [12][3410/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7276 (2.7033) Prec@1 41.406 (41.722) Prec@5 67.188 (66.988) Epoch: [12][3420/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5087 (2.7031) Prec@1 41.406 (41.724) Prec@5 71.094 (66.992) Epoch: [12][3430/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8105 (2.7030) Prec@1 39.062 (41.725) Prec@5 63.281 (66.994) Epoch: [12][3440/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7700 (2.7033) Prec@1 43.750 (41.722) Prec@5 70.312 (66.992) Epoch: [12][3450/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4309 (2.7032) Prec@1 44.531 (41.727) Prec@5 70.312 (66.989) Epoch: [12][3460/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9826 (2.7033) Prec@1 38.281 (41.723) Prec@5 64.844 (66.986) Epoch: [12][3470/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5524 (2.7031) Prec@1 41.406 (41.728) Prec@5 73.438 (66.991) Epoch: [12][3480/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7134 (2.7032) Prec@1 39.062 (41.720) Prec@5 65.625 (66.985) Epoch: [12][3490/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5750 (2.7036) Prec@1 38.281 (41.716) Prec@5 72.656 (66.978) Epoch: [12][3500/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8633 (2.7035) Prec@1 32.812 (41.715) Prec@5 59.375 (66.978) Epoch: [12][3510/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7231 (2.7034) Prec@1 39.062 (41.716) Prec@5 69.531 (66.984) Epoch: [12][3520/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5476 (2.7035) Prec@1 47.656 (41.715) Prec@5 67.188 (66.982) Epoch: [12][3530/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.0613 (2.7034) Prec@1 53.906 (41.719) Prec@5 81.250 (66.982) Epoch: [12][3540/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.0520 (2.7035) Prec@1 35.156 (41.722) Prec@5 59.375 (66.980) Epoch: [12][3550/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4700 (2.7036) Prec@1 40.625 (41.721) Prec@5 73.438 (66.982) Epoch: [12][3560/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.2961 (2.7035) Prec@1 50.000 (41.725) Prec@5 71.875 (66.983) /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: [12][3570/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6660 (2.7037) Prec@1 47.656 (41.722) Prec@5 67.188 (66.979) Epoch: [12][3580/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.8502 (2.7042) Prec@1 44.531 (41.716) Prec@5 63.281 (66.970) Epoch: [12][3590/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7103 (2.7043) Prec@1 39.844 (41.712) Prec@5 66.406 (66.965) Epoch: [12][3600/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7182 (2.7040) Prec@1 34.375 (41.717) Prec@5 66.406 (66.970) Epoch: [12][3610/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7139 (2.7040) Prec@1 41.406 (41.715) Prec@5 64.844 (66.971) Epoch: [12][3620/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.9354 (2.7042) Prec@1 36.719 (41.714) Prec@5 64.062 (66.966) Epoch: [12][3630/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.5042 (2.7042) Prec@1 43.750 (41.715) Prec@5 68.750 (66.966) Epoch: [12][3640/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.8078 (2.7043) Prec@1 37.500 (41.712) Prec@5 66.406 (66.965) Epoch: [12][3650/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7815 (2.7046) Prec@1 42.969 (41.707) Prec@5 64.844 (66.961) Epoch: [12][3660/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6604 (2.7044) Prec@1 44.531 (41.714) Prec@5 64.844 (66.963) Epoch: [12][3670/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.9918 (2.7047) Prec@1 37.500 (41.709) Prec@5 64.844 (66.954) Epoch: [12][3680/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5713 (2.7049) Prec@1 45.312 (41.703) Prec@5 70.312 (66.952) Epoch: [12][3690/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5874 (2.7051) Prec@1 45.312 (41.700) Prec@5 69.531 (66.947) Epoch: [12][3700/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.1647 (2.7051) Prec@1 44.531 (41.700) Prec@5 60.938 (66.948) Epoch: [12][3710/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.5978 (2.7050) Prec@1 42.188 (41.704) Prec@5 71.094 (66.953) Epoch: [12][3720/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7234 (2.7052) Prec@1 45.312 (41.704) Prec@5 64.844 (66.947) Epoch: [12][3730/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4884 (2.7051) Prec@1 38.281 (41.703) Prec@5 68.750 (66.945) Epoch: [12][3740/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9546 (2.7049) Prec@1 39.062 (41.705) Prec@5 60.156 (66.950) Epoch: [12][3750/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.4930 (2.7047) Prec@1 43.750 (41.707) Prec@5 71.875 (66.951) Epoch: [12][3760/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8416 (2.7048) Prec@1 46.875 (41.708) Prec@5 64.062 (66.951) Epoch: [12][3770/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8653 (2.7048) Prec@1 42.188 (41.705) Prec@5 64.062 (66.951) Epoch: [12][3780/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4694 (2.7049) Prec@1 43.750 (41.704) Prec@5 72.656 (66.950) Epoch: [12][3790/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7126 (2.7047) Prec@1 46.875 (41.707) Prec@5 67.969 (66.949) Epoch: [12][3800/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6206 (2.7046) Prec@1 42.188 (41.708) Prec@5 67.188 (66.949) Epoch: [12][3810/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9189 (2.7046) Prec@1 34.375 (41.703) Prec@5 62.500 (66.951) Epoch: [12][3820/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8132 (2.7045) Prec@1 34.375 (41.704) Prec@5 65.625 (66.951) Epoch: [12][3830/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7201 (2.7048) Prec@1 39.844 (41.700) Prec@5 65.625 (66.947) Epoch: [12][3840/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.3598 (2.7044) Prec@1 44.531 (41.711) Prec@5 72.656 (66.952) Epoch: [12][3850/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8551 (2.7046) Prec@1 35.938 (41.706) Prec@5 66.406 (66.945) Epoch: [12][3860/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5820 (2.7047) Prec@1 43.750 (41.705) Prec@5 66.406 (66.942) Epoch: [12][3870/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6777 (2.7049) Prec@1 44.531 (41.702) Prec@5 65.625 (66.938) Epoch: [12][3880/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8257 (2.7050) Prec@1 38.281 (41.702) Prec@5 64.062 (66.936) Epoch: [12][3890/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6052 (2.7051) Prec@1 39.844 (41.702) Prec@5 67.969 (66.938) Epoch: [12][3900/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.0294 (2.7052) Prec@1 35.938 (41.699) Prec@5 60.156 (66.936) Epoch: [12][3910/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5877 (2.7053) Prec@1 48.438 (41.697) Prec@5 68.750 (66.933) Epoch: [12][3920/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7984 (2.7053) Prec@1 38.281 (41.693) Prec@5 66.406 (66.933) Epoch: [12][3930/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.2594 (2.7054) Prec@1 35.156 (41.693) Prec@5 57.031 (66.929) Epoch: [12][3940/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9634 (2.7055) Prec@1 37.500 (41.687) Prec@5 62.500 (66.927) Epoch: [12][3950/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.3812 (2.7054) Prec@1 45.312 (41.690) Prec@5 71.875 (66.929) Epoch: [12][3960/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5815 (2.7054) Prec@1 43.750 (41.688) Prec@5 68.750 (66.930) Epoch: [12][3970/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4677 (2.7052) Prec@1 49.219 (41.692) Prec@5 72.656 (66.934) Epoch: [12][3980/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.5552 (2.7051) Prec@1 45.312 (41.692) Prec@5 68.750 (66.935) Epoch: [12][3990/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8830 (2.7052) Prec@1 32.812 (41.690) Prec@5 58.594 (66.929) Epoch: [12][4000/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6421 (2.7051) Prec@1 48.438 (41.695) Prec@5 69.531 (66.929) Epoch: [12][4010/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8971 (2.7053) Prec@1 40.625 (41.688) Prec@5 64.844 (66.925) Epoch: [12][4020/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7375 (2.7052) Prec@1 41.406 (41.690) Prec@5 62.500 (66.929) Epoch: [12][4030/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5696 (2.7054) Prec@1 42.969 (41.686) Prec@5 68.750 (66.927) Epoch: [12][4040/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.3966 (2.7053) Prec@1 41.406 (41.691) Prec@5 71.875 (66.928) Epoch: [12][4050/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.2654 (2.7053) Prec@1 42.969 (41.693) Prec@5 77.344 (66.928) Epoch: [12][4060/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.6748 (2.7054) Prec@1 39.844 (41.687) Prec@5 67.969 (66.926) Epoch: [12][4070/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5944 (2.7057) Prec@1 42.969 (41.685) Prec@5 71.094 (66.923) Epoch: [12][4080/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.2316 (2.7058) Prec@1 48.438 (41.682) Prec@5 73.438 (66.917) Epoch: [12][4090/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8682 (2.7058) Prec@1 40.625 (41.682) Prec@5 71.094 (66.918) Epoch: [12][4100/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.5139 (2.7056) Prec@1 46.094 (41.684) Prec@5 71.094 (66.921) Epoch: [12][4110/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6108 (2.7056) Prec@1 43.750 (41.685) Prec@5 67.969 (66.922) Epoch: [12][4120/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8695 (2.7057) Prec@1 45.312 (41.685) Prec@5 63.281 (66.920) Epoch: [12][4130/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6144 (2.7059) Prec@1 43.750 (41.683) Prec@5 71.094 (66.917) Epoch: [12][4140/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7386 (2.7056) Prec@1 37.500 (41.685) Prec@5 64.844 (66.924) Epoch: [12][4150/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8195 (2.7055) Prec@1 37.500 (41.686) Prec@5 66.406 (66.927) Epoch: [12][4160/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.9067 (2.7054) Prec@1 35.156 (41.689) Prec@5 57.812 (66.928) Epoch: [12][4170/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5650 (2.7054) Prec@1 45.312 (41.685) Prec@5 72.656 (66.932) Epoch: [12][4180/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6614 (2.7054) Prec@1 42.188 (41.687) Prec@5 67.969 (66.933) Epoch: [12][4190/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4384 (2.7054) Prec@1 47.656 (41.687) Prec@5 71.875 (66.934) Epoch: [12][4200/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6652 (2.7053) Prec@1 41.406 (41.691) Prec@5 68.750 (66.937) Epoch: [12][4210/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7081 (2.7053) Prec@1 42.188 (41.695) Prec@5 71.875 (66.939) Epoch: [12][4220/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.1730 (2.7054) Prec@1 44.531 (41.689) Prec@5 76.562 (66.940) Epoch: [12][4230/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5954 (2.7052) Prec@1 40.625 (41.690) Prec@5 68.750 (66.941) Epoch: [12][4240/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5743 (2.7052) Prec@1 42.969 (41.693) Prec@5 71.094 (66.944) Epoch: [12][4250/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6127 (2.7053) Prec@1 44.531 (41.695) Prec@5 69.531 (66.945) Epoch: [12][4260/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6764 (2.7054) Prec@1 40.625 (41.695) Prec@5 67.969 (66.945) Epoch: [12][4270/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6989 (2.7054) Prec@1 45.312 (41.700) Prec@5 70.312 (66.944) Epoch: [12][4280/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6993 (2.7054) Prec@1 40.625 (41.700) Prec@5 67.969 (66.945) Epoch: [12][4290/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.3940 (2.7052) Prec@1 40.625 (41.701) Prec@5 74.219 (66.949) Epoch: [12][4300/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9295 (2.7052) Prec@1 35.938 (41.698) Prec@5 60.156 (66.950) Epoch: [12][4310/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.8220 (2.7052) Prec@1 42.188 (41.697) Prec@5 67.188 (66.948) Epoch: [12][4320/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6231 (2.7049) Prec@1 43.750 (41.701) Prec@5 67.969 (66.955) Epoch: [12][4330/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8644 (2.7049) Prec@1 39.062 (41.704) Prec@5 63.281 (66.954) Epoch: [12][4340/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5931 (2.7050) Prec@1 46.094 (41.702) Prec@5 69.531 (66.950) Epoch: [12][4350/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9275 (2.7052) Prec@1 40.625 (41.699) Prec@5 61.719 (66.946) Epoch: [12][4360/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8390 (2.7054) Prec@1 42.969 (41.694) Prec@5 62.500 (66.944) Epoch: [12][4370/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7981 (2.7054) Prec@1 40.625 (41.692) Prec@5 61.719 (66.942) Epoch: [12][4380/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6809 (2.7055) Prec@1 38.281 (41.690) Prec@5 67.969 (66.943) Epoch: [12][4390/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7281 (2.7054) Prec@1 40.625 (41.689) Prec@5 62.500 (66.942) Epoch: [12][4400/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8337 (2.7056) Prec@1 33.594 (41.683) Prec@5 66.406 (66.939) Epoch: [12][4410/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7349 (2.7055) Prec@1 37.500 (41.684) Prec@5 65.625 (66.940) Epoch: [12][4420/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.3504 (2.7053) Prec@1 51.562 (41.690) Prec@5 72.656 (66.944) Epoch: [12][4430/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8322 (2.7053) Prec@1 41.406 (41.694) Prec@5 62.500 (66.946) Epoch: [12][4440/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5681 (2.7053) Prec@1 43.750 (41.694) Prec@5 70.312 (66.944) Epoch: [12][4450/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7049 (2.7056) Prec@1 45.312 (41.691) Prec@5 67.188 (66.939) Epoch: [12][4460/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9737 (2.7055) Prec@1 34.375 (41.694) Prec@5 62.500 (66.941) Epoch: [12][4470/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5226 (2.7054) Prec@1 42.969 (41.692) Prec@5 70.312 (66.943) Epoch: [12][4480/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.5156 (2.7053) Prec@1 47.656 (41.693) Prec@5 71.875 (66.947) Epoch: [12][4490/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7352 (2.7054) Prec@1 39.844 (41.692) Prec@5 60.938 (66.944) Epoch: [12][4500/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7697 (2.7056) Prec@1 39.844 (41.685) Prec@5 67.969 (66.941) Epoch: [12][4510/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8641 (2.7056) Prec@1 46.094 (41.688) Prec@5 64.844 (66.941) Epoch: [12][4520/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8256 (2.7056) Prec@1 41.406 (41.691) Prec@5 67.188 (66.942) Epoch: [12][4530/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8585 (2.7055) Prec@1 45.312 (41.693) Prec@5 62.500 (66.943) Epoch: [12][4540/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7908 (2.7058) Prec@1 39.062 (41.691) Prec@5 63.281 (66.936) Epoch: [12][4550/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.9587 (2.7057) Prec@1 42.188 (41.691) Prec@5 60.938 (66.936) Epoch: [12][4560/10010] Time 0.311 (0.332) Data 0.000 (0.001) Loss 2.8193 (2.7055) Prec@1 41.406 (41.693) Prec@5 61.719 (66.939) Epoch: [12][4570/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.2866 (2.7055) Prec@1 49.219 (41.691) Prec@5 73.438 (66.940) Epoch: [12][4580/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8135 (2.7054) Prec@1 37.500 (41.691) Prec@5 65.625 (66.941) Epoch: [12][4590/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6396 (2.7055) Prec@1 43.750 (41.687) Prec@5 72.656 (66.938) Epoch: [12][4600/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7774 (2.7056) Prec@1 37.500 (41.681) Prec@5 69.531 (66.937) Epoch: [12][4610/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.2271 (2.7059) Prec@1 33.594 (41.677) Prec@5 57.031 (66.933) Epoch: [12][4620/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9005 (2.7060) Prec@1 37.500 (41.674) Prec@5 60.156 (66.930) Epoch: [12][4630/10010] Time 0.337 (0.332) Data 0.003 (0.001) Loss 2.4356 (2.7061) Prec@1 46.094 (41.665) Prec@5 74.219 (66.927) Epoch: [12][4640/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.2024 (2.7061) Prec@1 31.250 (41.664) Prec@5 61.719 (66.926) Epoch: [12][4650/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7397 (2.7061) Prec@1 40.625 (41.668) Prec@5 63.281 (66.925) Epoch: [12][4660/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.2374 (2.7061) Prec@1 49.219 (41.669) Prec@5 78.125 (66.925) Epoch: [12][4670/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6086 (2.7061) Prec@1 40.625 (41.669) Prec@5 66.406 (66.927) Epoch: [12][4680/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9730 (2.7061) Prec@1 35.938 (41.670) Prec@5 63.281 (66.925) Epoch: [12][4690/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.2391 (2.7063) Prec@1 31.250 (41.669) Prec@5 57.812 (66.922) Epoch: [12][4700/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.3795 (2.7062) Prec@1 44.531 (41.668) Prec@5 75.781 (66.927) Epoch: [12][4710/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5069 (2.7064) Prec@1 47.656 (41.666) Prec@5 74.219 (66.925) Epoch: [12][4720/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7316 (2.7063) Prec@1 42.969 (41.665) Prec@5 66.406 (66.925) Epoch: [12][4730/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7060 (2.7063) Prec@1 40.625 (41.665) Prec@5 69.531 (66.926) Epoch: [12][4740/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5480 (2.7062) Prec@1 43.750 (41.668) Prec@5 67.969 (66.930) Epoch: [12][4750/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7462 (2.7062) Prec@1 37.500 (41.670) Prec@5 67.969 (66.930) Epoch: [12][4760/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.3631 (2.7060) Prec@1 47.656 (41.675) Prec@5 71.094 (66.932) Epoch: [12][4770/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8505 (2.7062) Prec@1 42.188 (41.676) Prec@5 65.625 (66.933) Epoch: [12][4780/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7306 (2.7064) Prec@1 42.188 (41.671) Prec@5 68.750 (66.931) Epoch: [12][4790/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6892 (2.7063) Prec@1 43.750 (41.672) Prec@5 62.500 (66.933) Epoch: [12][4800/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.4786 (2.7061) Prec@1 48.438 (41.678) Prec@5 67.969 (66.938) Epoch: [12][4810/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5449 (2.7060) Prec@1 40.625 (41.679) Prec@5 71.875 (66.940) Epoch: [12][4820/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.2623 (2.7059) Prec@1 45.312 (41.677) Prec@5 74.219 (66.941) Epoch: [12][4830/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0673 (2.7060) Prec@1 32.812 (41.673) Prec@5 62.500 (66.938) Epoch: [12][4840/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7973 (2.7062) Prec@1 43.750 (41.675) Prec@5 64.844 (66.935) Epoch: [12][4850/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6361 (2.7064) Prec@1 37.500 (41.671) Prec@5 68.750 (66.932) Epoch: [12][4860/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.7912 (2.7063) Prec@1 42.188 (41.673) Prec@5 64.844 (66.933) Epoch: [12][4870/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7364 (2.7065) Prec@1 41.406 (41.668) Prec@5 66.406 (66.932) Epoch: [12][4880/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6554 (2.7066) Prec@1 43.750 (41.666) Prec@5 68.750 (66.931) Epoch: [12][4890/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.0737 (2.7067) Prec@1 33.594 (41.662) Prec@5 62.500 (66.927) Epoch: [12][4900/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7998 (2.7067) Prec@1 38.281 (41.663) Prec@5 63.281 (66.927) Epoch: [12][4910/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7887 (2.7068) Prec@1 42.188 (41.665) Prec@5 65.625 (66.928) Epoch: [12][4920/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.5958 (2.7068) Prec@1 42.969 (41.664) Prec@5 63.281 (66.927) Epoch: [12][4930/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5677 (2.7069) Prec@1 43.750 (41.662) Prec@5 69.531 (66.925) Epoch: [12][4940/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6087 (2.7070) Prec@1 42.969 (41.660) Prec@5 71.875 (66.924) Epoch: [12][4950/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4410 (2.7068) Prec@1 43.750 (41.661) Prec@5 70.312 (66.927) Epoch: [12][4960/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.0002 (2.7069) Prec@1 35.156 (41.661) Prec@5 57.812 (66.929) Epoch: [12][4970/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6489 (2.7069) Prec@1 45.312 (41.659) Prec@5 67.969 (66.928) Epoch: [12][4980/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9872 (2.7069) Prec@1 42.969 (41.660) Prec@5 63.281 (66.925) Epoch: [12][4990/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8642 (2.7068) Prec@1 34.375 (41.662) Prec@5 60.938 (66.925) Epoch: [12][5000/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5633 (2.7068) Prec@1 44.531 (41.662) Prec@5 67.188 (66.925) Epoch: [12][5010/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7673 (2.7068) Prec@1 42.188 (41.663) Prec@5 60.938 (66.922) Epoch: [12][5020/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4199 (2.7069) Prec@1 46.875 (41.662) Prec@5 70.312 (66.917) Epoch: [12][5030/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6202 (2.7073) Prec@1 44.531 (41.655) Prec@5 66.406 (66.910) Epoch: [12][5040/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8100 (2.7075) Prec@1 41.406 (41.654) Prec@5 64.062 (66.903) Epoch: [12][5050/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7090 (2.7074) Prec@1 42.969 (41.652) Prec@5 72.656 (66.909) Epoch: [12][5060/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5278 (2.7075) Prec@1 44.531 (41.648) Prec@5 75.781 (66.910) Epoch: [12][5070/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5348 (2.7074) Prec@1 42.969 (41.648) Prec@5 67.188 (66.911) Epoch: [12][5080/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4900 (2.7074) Prec@1 42.969 (41.646) Prec@5 71.875 (66.912) Epoch: [12][5090/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7212 (2.7075) Prec@1 43.750 (41.646) Prec@5 70.312 (66.908) Epoch: [12][5100/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5894 (2.7072) Prec@1 46.094 (41.654) Prec@5 67.969 (66.913) Epoch: [12][5110/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8658 (2.7071) Prec@1 35.938 (41.653) Prec@5 61.719 (66.914) Epoch: [12][5120/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.4983 (2.7071) Prec@1 45.312 (41.654) Prec@5 71.094 (66.915) Epoch: [12][5130/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.7464 (2.7072) Prec@1 44.531 (41.655) Prec@5 64.844 (66.913) Epoch: [12][5140/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6830 (2.7073) Prec@1 40.625 (41.651) Prec@5 69.531 (66.913) Epoch: [12][5150/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6682 (2.7075) Prec@1 38.281 (41.647) Prec@5 67.188 (66.911) Epoch: [12][5160/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7468 (2.7075) Prec@1 39.844 (41.649) Prec@5 65.625 (66.910) Epoch: [12][5170/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8581 (2.7077) Prec@1 39.844 (41.648) Prec@5 67.188 (66.909) Epoch: [12][5180/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0088 (2.7080) Prec@1 37.500 (41.644) Prec@5 61.719 (66.903) Epoch: [12][5190/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7404 (2.7079) Prec@1 42.188 (41.645) Prec@5 65.625 (66.903) Epoch: [12][5200/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7480 (2.7081) Prec@1 40.625 (41.645) Prec@5 72.656 (66.902) Epoch: [12][5210/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6995 (2.7082) Prec@1 47.656 (41.645) Prec@5 68.750 (66.900) Epoch: [12][5220/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7156 (2.7082) Prec@1 42.188 (41.646) Prec@5 66.406 (66.902) Epoch: [12][5230/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8994 (2.7083) Prec@1 39.844 (41.647) Prec@5 64.062 (66.899) Epoch: [12][5240/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9490 (2.7085) Prec@1 37.500 (41.641) Prec@5 58.594 (66.893) Epoch: [12][5250/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6131 (2.7085) Prec@1 42.188 (41.641) Prec@5 69.531 (66.895) Epoch: [12][5260/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4666 (2.7085) Prec@1 47.656 (41.637) Prec@5 67.188 (66.894) Epoch: [12][5270/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.7548 (2.7085) Prec@1 39.844 (41.638) Prec@5 62.500 (66.892) Epoch: [12][5280/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8017 (2.7084) Prec@1 34.375 (41.640) Prec@5 64.062 (66.894) Epoch: [12][5290/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6250 (2.7084) Prec@1 38.281 (41.637) Prec@5 70.312 (66.892) Epoch: [12][5300/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7456 (2.7084) Prec@1 43.750 (41.639) Prec@5 65.625 (66.894) Epoch: [12][5310/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 3.1815 (2.7084) Prec@1 35.156 (41.638) Prec@5 60.156 (66.893) Epoch: [12][5320/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9567 (2.7085) Prec@1 39.062 (41.639) Prec@5 62.500 (66.893) Epoch: [12][5330/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8162 (2.7086) Prec@1 44.531 (41.639) Prec@5 62.500 (66.891) Epoch: [12][5340/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5667 (2.7088) Prec@1 46.094 (41.634) Prec@5 71.094 (66.889) Epoch: [12][5350/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5998 (2.7088) Prec@1 42.969 (41.634) Prec@5 69.531 (66.892) Epoch: [12][5360/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6044 (2.7089) Prec@1 42.969 (41.631) Prec@5 66.406 (66.893) Epoch: [12][5370/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7112 (2.7091) Prec@1 40.625 (41.630) Prec@5 65.625 (66.889) Epoch: [12][5380/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.1611 (2.7092) Prec@1 39.062 (41.627) Prec@5 56.250 (66.883) Epoch: [12][5390/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7301 (2.7091) Prec@1 39.062 (41.627) Prec@5 68.750 (66.885) Epoch: [12][5400/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7746 (2.7089) Prec@1 38.281 (41.632) Prec@5 67.969 (66.889) Epoch: [12][5410/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9176 (2.7091) Prec@1 38.281 (41.626) Prec@5 64.844 (66.886) Epoch: [12][5420/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5658 (2.7091) Prec@1 42.188 (41.627) Prec@5 68.750 (66.886) Epoch: [12][5430/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6873 (2.7091) Prec@1 37.500 (41.627) Prec@5 66.406 (66.888) Epoch: [12][5440/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6851 (2.7088) Prec@1 42.188 (41.631) Prec@5 64.844 (66.890) Epoch: [12][5450/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6515 (2.7091) Prec@1 46.094 (41.627) Prec@5 72.656 (66.883) Epoch: [12][5460/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5511 (2.7090) Prec@1 42.188 (41.628) Prec@5 69.531 (66.885) Epoch: [12][5470/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7173 (2.7090) Prec@1 46.094 (41.630) Prec@5 64.062 (66.884) Epoch: [12][5480/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.7029 (2.7090) Prec@1 42.969 (41.630) Prec@5 65.625 (66.886) Epoch: [12][5490/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.2490 (2.7091) Prec@1 35.156 (41.629) Prec@5 56.250 (66.885) Epoch: [12][5500/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6745 (2.7091) Prec@1 43.750 (41.630) Prec@5 65.625 (66.886) Epoch: [12][5510/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.6537 (2.7093) Prec@1 37.500 (41.631) Prec@5 64.844 (66.879) Epoch: [12][5520/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.6093 (2.7093) Prec@1 39.844 (41.626) Prec@5 69.531 (66.878) Epoch: [12][5530/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5092 (2.7095) Prec@1 45.312 (41.623) Prec@5 70.312 (66.874) Epoch: [12][5540/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4494 (2.7095) Prec@1 48.438 (41.623) Prec@5 68.750 (66.874) Epoch: [12][5550/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4615 (2.7094) Prec@1 48.438 (41.624) Prec@5 70.312 (66.875) Epoch: [12][5560/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7580 (2.7093) Prec@1 38.281 (41.626) Prec@5 65.625 (66.876) /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: [12][5570/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.3993 (2.7096) Prec@1 29.688 (41.622) Prec@5 51.562 (66.870) Epoch: [12][5580/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6151 (2.7095) Prec@1 44.531 (41.623) Prec@5 72.656 (66.873) Epoch: [12][5590/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.0543 (2.7095) Prec@1 41.406 (41.622) Prec@5 58.594 (66.874) Epoch: [12][5600/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9177 (2.7096) Prec@1 40.625 (41.620) Prec@5 61.719 (66.871) Epoch: [12][5610/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8189 (2.7097) Prec@1 38.281 (41.620) Prec@5 66.406 (66.869) Epoch: [12][5620/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.4830 (2.7095) Prec@1 41.406 (41.625) Prec@5 71.875 (66.873) Epoch: [12][5630/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6804 (2.7096) Prec@1 46.094 (41.624) Prec@5 62.500 (66.873) Epoch: [12][5640/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7097 (2.7097) Prec@1 47.656 (41.622) Prec@5 66.406 (66.870) Epoch: [12][5650/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5465 (2.7095) Prec@1 43.750 (41.623) Prec@5 70.312 (66.874) Epoch: [12][5660/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.1623 (2.7097) Prec@1 39.062 (41.620) Prec@5 62.500 (66.872) Epoch: [12][5670/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8130 (2.7098) Prec@1 37.500 (41.618) Prec@5 64.844 (66.871) Epoch: [12][5680/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.6795 (2.7096) Prec@1 48.438 (41.621) Prec@5 67.188 (66.873) Epoch: [12][5690/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6267 (2.7096) Prec@1 35.156 (41.621) Prec@5 66.406 (66.872) Epoch: [12][5700/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8075 (2.7097) Prec@1 36.719 (41.621) Prec@5 68.750 (66.872) Epoch: [12][5710/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4776 (2.7096) Prec@1 43.750 (41.621) Prec@5 75.000 (66.876) 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(41.618) Prec@5 61.719 (66.877) Epoch: [12][5800/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.9456 (2.7099) Prec@1 39.062 (41.617) Prec@5 62.500 (66.875) Epoch: [12][5810/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5434 (2.7099) Prec@1 39.844 (41.617) Prec@5 71.875 (66.874) Epoch: [12][5820/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7404 (2.7099) Prec@1 36.719 (41.615) Prec@5 67.969 (66.874) Epoch: [12][5830/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6957 (2.7098) Prec@1 40.625 (41.618) Prec@5 68.750 (66.876) Epoch: [12][5840/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.5788 (2.7098) Prec@1 42.188 (41.617) Prec@5 69.531 (66.877) Epoch: [12][5850/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8086 (2.7099) Prec@1 39.062 (41.613) Prec@5 65.625 (66.874) Epoch: [12][5860/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9347 (2.7099) Prec@1 38.281 (41.615) Prec@5 64.062 (66.875) Epoch: [12][5870/10010] Time 0.334 (0.331) Data 0.001 (0.001) 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0.344 (0.331) Data 0.001 (0.001) Loss 2.6683 (2.7103) Prec@1 41.406 (41.607) Prec@5 68.750 (66.872) Epoch: [12][5960/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8140 (2.7103) Prec@1 40.625 (41.609) Prec@5 66.406 (66.874) Epoch: [12][5970/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6409 (2.7102) Prec@1 39.844 (41.610) Prec@5 72.656 (66.875) Epoch: [12][5980/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8209 (2.7102) Prec@1 38.281 (41.609) Prec@5 62.500 (66.877) Epoch: [12][5990/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7567 (2.7100) Prec@1 40.625 (41.613) Prec@5 64.844 (66.878) Epoch: [12][6000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1619 (2.7102) Prec@1 35.938 (41.612) Prec@5 60.938 (66.875) Epoch: [12][6010/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7587 (2.7101) Prec@1 47.656 (41.614) Prec@5 69.531 (66.876) Epoch: [12][6020/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4863 (2.7102) Prec@1 48.438 (41.611) Prec@5 71.094 (66.873) Epoch: [12][6030/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 2.9104 (2.7103) Prec@1 39.844 (41.615) Prec@5 63.281 (66.872) Epoch: [12][6040/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8604 (2.7104) Prec@1 40.625 (41.615) Prec@5 61.719 (66.869) Epoch: [12][6050/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4100 (2.7104) Prec@1 45.312 (41.616) Prec@5 74.219 (66.870) Epoch: [12][6060/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9074 (2.7104) Prec@1 37.500 (41.611) Prec@5 60.156 (66.870) Epoch: [12][6070/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5160 (2.7106) Prec@1 42.969 (41.612) Prec@5 69.531 (66.868) Epoch: [12][6080/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7117 (2.7104) Prec@1 37.500 (41.613) Prec@5 68.750 (66.871) Epoch: [12][6090/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7408 (2.7102) Prec@1 42.188 (41.615) Prec@5 68.750 (66.874) Epoch: [12][6100/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6056 (2.7102) 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0.000 (0.001) Loss 2.6897 (2.7103) Prec@1 38.281 (41.611) Prec@5 69.531 (66.871) Epoch: [12][6190/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5419 (2.7103) Prec@1 40.625 (41.610) Prec@5 64.844 (66.872) Epoch: [12][6200/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8619 (2.7102) Prec@1 36.719 (41.613) Prec@5 67.188 (66.873) Epoch: [12][6210/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4494 (2.7101) Prec@1 44.531 (41.615) Prec@5 72.656 (66.874) Epoch: [12][6220/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6979 (2.7101) Prec@1 44.531 (41.615) Prec@5 66.406 (66.874) Epoch: [12][6230/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2857 (2.7102) Prec@1 46.875 (41.614) Prec@5 73.438 (66.872) Epoch: [12][6240/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7827 (2.7101) Prec@1 42.188 (41.619) Prec@5 63.281 (66.875) Epoch: [12][6250/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5471 (2.7101) Prec@1 46.094 (41.617) Prec@5 69.531 (66.874) Epoch: [12][6260/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6995 (2.7101) Prec@1 41.406 (41.616) Prec@5 65.625 (66.874) Epoch: [12][6270/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0240 (2.7101) Prec@1 37.500 (41.617) Prec@5 60.156 (66.874) Epoch: [12][6280/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4978 (2.7102) Prec@1 46.094 (41.620) Prec@5 70.312 (66.875) Epoch: [12][6290/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7628 (2.7101) Prec@1 39.062 (41.620) Prec@5 63.281 (66.877) Epoch: [12][6300/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.2907 (2.7102) Prec@1 49.219 (41.619) Prec@5 71.875 (66.874) Epoch: [12][6310/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6761 (2.7101) Prec@1 42.969 (41.621) Prec@5 69.531 (66.877) Epoch: [12][6320/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4660 (2.7101) Prec@1 49.219 (41.622) Prec@5 71.094 (66.877) Epoch: [12][6330/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5720 (2.7101) Prec@1 40.625 (41.622) Prec@5 65.625 (66.878) Epoch: [12][6340/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8032 (2.7100) Prec@1 38.281 (41.623) Prec@5 63.281 (66.879) Epoch: [12][6350/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6715 (2.7101) Prec@1 45.312 (41.622) Prec@5 67.188 (66.877) Epoch: [12][6360/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5841 (2.7100) Prec@1 44.531 (41.625) Prec@5 69.531 (66.877) Epoch: [12][6370/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0054 (2.7100) Prec@1 36.719 (41.624) Prec@5 62.500 (66.878) Epoch: [12][6380/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4638 (2.7098) Prec@1 49.219 (41.627) Prec@5 74.219 (66.881) Epoch: [12][6390/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7805 (2.7097) Prec@1 40.625 (41.629) Prec@5 65.625 (66.884) Epoch: [12][6400/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4138 (2.7096) Prec@1 42.188 (41.631) Prec@5 68.750 (66.882) Epoch: [12][6410/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8478 (2.7097) Prec@1 35.156 (41.631) Prec@5 60.156 (66.881) Epoch: [12][6420/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9580 (2.7097) Prec@1 40.625 (41.629) Prec@5 59.375 (66.878) Epoch: [12][6430/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8354 (2.7098) Prec@1 35.938 (41.630) Prec@5 64.844 (66.878) Epoch: [12][6440/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8684 (2.7099) Prec@1 37.500 (41.630) Prec@5 65.625 (66.877) Epoch: [12][6450/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0161 (2.7099) Prec@1 31.250 (41.628) Prec@5 63.281 (66.877) Epoch: [12][6460/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9995 (2.7099) Prec@1 41.406 (41.628) Prec@5 60.156 (66.876) Epoch: [12][6470/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7392 (2.7098) Prec@1 43.750 (41.630) Prec@5 65.625 (66.876) Epoch: [12][6480/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6293 (2.7096) Prec@1 36.719 (41.634) Prec@5 70.312 (66.878) Epoch: [12][6490/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7824 (2.7095) Prec@1 36.719 (41.635) Prec@5 64.844 (66.879) Epoch: [12][6500/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6391 (2.7095) Prec@1 38.281 (41.636) Prec@5 67.188 (66.879) Epoch: [12][6510/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6720 (2.7097) Prec@1 47.656 (41.633) Prec@5 71.875 (66.878) Epoch: [12][6520/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8106 (2.7097) Prec@1 38.281 (41.631) Prec@5 64.062 (66.876) Epoch: [12][6530/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7597 (2.7098) Prec@1 38.281 (41.631) Prec@5 65.625 (66.874) Epoch: [12][6540/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4931 (2.7098) Prec@1 43.750 (41.629) Prec@5 66.406 (66.873) Epoch: [12][6550/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5741 (2.7097) Prec@1 42.188 (41.631) Prec@5 71.094 (66.873) Epoch: [12][6560/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5298 (2.7099) Prec@1 44.531 (41.627) Prec@5 70.312 (66.871) Epoch: [12][6570/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7537 (2.7100) Prec@1 40.625 (41.626) Prec@5 67.969 (66.867) Epoch: [12][6580/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8562 (2.7100) Prec@1 39.062 (41.626) Prec@5 65.625 (66.867) Epoch: [12][6590/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.7182 (2.7100) Prec@1 42.188 (41.627) Prec@5 67.969 (66.868) Epoch: [12][6600/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7804 (2.7099) Prec@1 41.406 (41.629) Prec@5 66.406 (66.870) Epoch: [12][6610/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8639 (2.7099) Prec@1 36.719 (41.628) Prec@5 67.188 (66.873) Epoch: [12][6620/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.3446 (2.7100) Prec@1 46.094 (41.627) Prec@5 73.438 (66.871) Epoch: [12][6630/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7844 (2.7100) Prec@1 39.062 (41.627) Prec@5 66.406 (66.872) Epoch: [12][6640/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7999 (2.7099) Prec@1 42.188 (41.625) Prec@5 65.625 (66.875) Epoch: [12][6650/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0329 (2.7102) Prec@1 39.844 (41.623) Prec@5 64.062 (66.869) Epoch: [12][6660/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6543 (2.7101) Prec@1 45.312 (41.624) Prec@5 67.969 (66.872) Epoch: [12][6670/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0458 (2.7103) Prec@1 32.812 (41.621) Prec@5 63.281 (66.870) Epoch: [12][6680/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9164 (2.7105) Prec@1 35.156 (41.617) Prec@5 64.844 (66.868) Epoch: [12][6690/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6612 (2.7105) Prec@1 42.188 (41.617) Prec@5 68.750 (66.867) Epoch: [12][6700/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6210 (2.7105) Prec@1 42.969 (41.617) Prec@5 68.750 (66.868) Epoch: [12][6710/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9811 (2.7106) Prec@1 33.594 (41.615) Prec@5 64.844 (66.867) Epoch: [12][6720/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1175 (2.7104) Prec@1 54.688 (41.618) Prec@5 78.125 (66.869) Epoch: [12][6730/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8354 (2.7105) Prec@1 28.906 (41.614) Prec@5 64.062 (66.869) Epoch: [12][6740/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8973 (2.7106) Prec@1 38.281 (41.611) Prec@5 62.500 (66.867) Epoch: [12][6750/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.1724 (2.7106) Prec@1 34.375 (41.611) Prec@5 58.594 (66.865) Epoch: [12][6760/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6652 (2.7106) Prec@1 50.781 (41.615) Prec@5 70.312 (66.867) Epoch: [12][6770/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9158 (2.7104) Prec@1 39.062 (41.616) Prec@5 62.500 (66.869) Epoch: [12][6780/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6069 (2.7103) Prec@1 46.875 (41.616) Prec@5 67.188 (66.871) Epoch: [12][6790/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4347 (2.7102) Prec@1 50.000 (41.619) Prec@5 71.875 (66.871) Epoch: [12][6800/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7053 (2.7103) Prec@1 43.750 (41.615) Prec@5 72.656 (66.868) Epoch: [12][6810/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4687 (2.7103) Prec@1 45.312 (41.618) Prec@5 69.531 (66.869) /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: [12][6820/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8353 (2.7102) Prec@1 41.406 (41.618) Prec@5 67.188 (66.870) Epoch: [12][6830/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7405 (2.7103) Prec@1 42.969 (41.615) Prec@5 67.188 (66.868) Epoch: [12][6840/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.3497 (2.7104) Prec@1 47.656 (41.614) Prec@5 71.094 (66.868) Epoch: [12][6850/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.3725 (2.7104) Prec@1 46.094 (41.614) Prec@5 74.219 (66.868) Epoch: [12][6860/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7743 (2.7103) Prec@1 40.625 (41.614) Prec@5 67.969 (66.870) Epoch: [12][6870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6573 (2.7103) Prec@1 40.625 (41.613) Prec@5 68.750 (66.869) Epoch: [12][6880/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 2.7035 (2.7104) Prec@1 40.625 (41.613) Prec@5 64.062 (66.869) Epoch: [12][6890/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5932 (2.7103) Prec@1 40.625 (41.614) Prec@5 73.438 (66.872) Epoch: [12][6900/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7208 (2.7102) Prec@1 39.062 (41.615) Prec@5 67.969 (66.874) Epoch: [12][6910/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6262 (2.7101) Prec@1 44.531 (41.614) Prec@5 72.656 (66.876) Epoch: [12][6920/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7469 (2.7100) Prec@1 42.969 (41.620) Prec@5 67.188 (66.878) Epoch: [12][6930/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6755 (2.7100) Prec@1 40.625 (41.618) Prec@5 62.500 (66.874) Epoch: [12][6940/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7350 (2.7100) Prec@1 42.188 (41.618) Prec@5 64.062 (66.874) Epoch: [12][6950/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4963 (2.7100) Prec@1 42.188 (41.616) Prec@5 72.656 (66.874) Epoch: [12][6960/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5925 (2.7098) Prec@1 41.406 (41.618) Prec@5 64.844 (66.878) Epoch: [12][6970/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7185 (2.7096) Prec@1 44.531 (41.621) Prec@5 67.969 (66.882) Epoch: [12][6980/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4771 (2.7096) Prec@1 46.094 (41.623) Prec@5 71.875 (66.884) Epoch: [12][6990/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6461 (2.7097) Prec@1 39.062 (41.620) Prec@5 63.281 (66.882) Epoch: [12][7000/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.3988 (2.7097) Prec@1 46.875 (41.622) Prec@5 72.656 (66.881) Epoch: [12][7010/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7650 (2.7097) Prec@1 39.844 (41.621) Prec@5 64.062 (66.882) Epoch: [12][7020/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4815 (2.7098) Prec@1 45.312 (41.618) Prec@5 72.656 (66.882) Epoch: [12][7030/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6893 (2.7098) Prec@1 49.219 (41.618) Prec@5 69.531 (66.880) Epoch: [12][7040/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6142 (2.7099) Prec@1 46.875 (41.619) Prec@5 68.750 (66.879) Epoch: [12][7050/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7332 (2.7099) Prec@1 35.938 (41.619) Prec@5 67.969 (66.880) Epoch: [12][7060/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2972 (2.7098) Prec@1 49.219 (41.619) Prec@5 74.219 (66.879) Epoch: [12][7070/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6815 (2.7096) Prec@1 38.281 (41.623) Prec@5 66.406 (66.883) Epoch: [12][7080/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5488 (2.7095) Prec@1 44.531 (41.624) Prec@5 69.531 (66.886) Epoch: [12][7090/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0580 (2.7096) Prec@1 35.938 (41.624) Prec@5 64.062 (66.886) Epoch: [12][7100/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.2449 (2.7095) Prec@1 45.312 (41.627) Prec@5 75.000 (66.888) Epoch: [12][7110/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7013 (2.7094) Prec@1 38.281 (41.628) Prec@5 71.094 (66.888) Epoch: [12][7120/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5796 (2.7094) Prec@1 39.844 (41.625) Prec@5 71.094 (66.887) Epoch: [12][7130/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8019 (2.7096) Prec@1 37.500 (41.624) Prec@5 64.844 (66.885) Epoch: [12][7140/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9948 (2.7096) Prec@1 39.844 (41.627) Prec@5 64.844 (66.884) Epoch: [12][7150/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7313 (2.7096) Prec@1 39.062 (41.625) Prec@5 66.406 (66.882) Epoch: [12][7160/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9221 (2.7096) Prec@1 35.938 (41.626) Prec@5 65.625 (66.882) Epoch: [12][7170/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0399 (2.7095) Prec@1 37.500 (41.629) Prec@5 63.281 (66.882) Epoch: [12][7180/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5046 (2.7096) Prec@1 46.094 (41.627) Prec@5 72.656 (66.881) Epoch: [12][7190/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4968 (2.7097) Prec@1 47.656 (41.627) Prec@5 67.188 (66.879) Epoch: [12][7200/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9400 (2.7097) Prec@1 34.375 (41.628) Prec@5 61.719 (66.880) Epoch: [12][7210/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3776 (2.7098) Prec@1 48.438 (41.628) Prec@5 71.094 (66.879) Epoch: [12][7220/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9341 (2.7098) Prec@1 36.719 (41.626) Prec@5 60.156 (66.879) Epoch: [12][7230/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6741 (2.7097) Prec@1 42.188 (41.627) Prec@5 69.531 (66.882) Epoch: [12][7240/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0726 (2.7098) Prec@1 31.250 (41.626) Prec@5 63.281 (66.881) Epoch: [12][7250/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.3613 (2.7097) Prec@1 45.312 (41.624) Prec@5 72.656 (66.881) Epoch: [12][7260/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0226 (2.7097) Prec@1 36.719 (41.621) Prec@5 64.062 (66.881) Epoch: [12][7270/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5436 (2.7096) Prec@1 45.312 (41.624) Prec@5 71.094 (66.883) Epoch: [12][7280/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5844 (2.7096) Prec@1 43.750 (41.625) Prec@5 72.656 (66.882) Epoch: [12][7290/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.0139 (2.7098) Prec@1 34.375 (41.625) Prec@5 58.594 (66.882) Epoch: [12][7300/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8432 (2.7099) Prec@1 43.750 (41.623) Prec@5 64.844 (66.878) Epoch: [12][7310/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7874 (2.7099) Prec@1 44.531 (41.626) Prec@5 61.719 (66.877) Epoch: [12][7320/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9426 (2.7099) Prec@1 39.844 (41.624) Prec@5 64.844 (66.879) Epoch: [12][7330/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6418 (2.7098) Prec@1 34.375 (41.622) Prec@5 66.406 (66.881) Epoch: [12][7340/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0027 (2.7098) Prec@1 39.062 (41.623) Prec@5 60.938 (66.881) Epoch: [12][7350/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6900 (2.7097) Prec@1 38.281 (41.624) Prec@5 64.062 (66.881) Epoch: [12][7360/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7247 (2.7098) Prec@1 40.625 (41.623) Prec@5 68.750 (66.879) Epoch: [12][7370/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7731 (2.7098) Prec@1 38.281 (41.623) Prec@5 67.188 (66.881) Epoch: [12][7380/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7922 (2.7099) Prec@1 45.312 (41.624) Prec@5 67.969 (66.880) Epoch: [12][7390/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.9665 (2.7099) Prec@1 35.156 (41.624) Prec@5 61.719 (66.880) Epoch: [12][7400/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.3603 (2.7100) Prec@1 50.781 (41.621) Prec@5 75.781 (66.879) Epoch: [12][7410/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8004 (2.7100) Prec@1 42.188 (41.621) Prec@5 60.156 (66.879) Epoch: [12][7420/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.2832 (2.7098) Prec@1 44.531 (41.622) Prec@5 75.781 (66.883) Epoch: [12][7430/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7070 (2.7098) Prec@1 40.625 (41.622) Prec@5 68.750 (66.884) Epoch: [12][7440/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8648 (2.7098) Prec@1 39.062 (41.623) Prec@5 63.281 (66.883) Epoch: [12][7450/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9494 (2.7099) Prec@1 37.500 (41.624) Prec@5 61.719 (66.881) Epoch: [12][7460/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6265 (2.7098) Prec@1 43.750 (41.626) Prec@5 67.969 (66.883) Epoch: [12][7470/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.2047 (2.7098) Prec@1 32.031 (41.627) Prec@5 58.594 (66.884) Epoch: [12][7480/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4692 (2.7098) Prec@1 53.125 (41.628) Prec@5 72.656 (66.885) Epoch: [12][7490/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7257 (2.7098) Prec@1 43.750 (41.630) Prec@5 67.188 (66.884) Epoch: [12][7500/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0634 (2.7098) Prec@1 35.938 (41.630) Prec@5 65.625 (66.884) Epoch: [12][7510/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8310 (2.7099) Prec@1 42.969 (41.627) Prec@5 67.188 (66.882) Epoch: [12][7520/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5652 (2.7100) Prec@1 41.406 (41.626) Prec@5 70.312 (66.881) Epoch: [12][7530/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5280 (2.7099) Prec@1 45.312 (41.628) Prec@5 71.875 (66.881) Epoch: [12][7540/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.9569 (2.7099) Prec@1 42.188 (41.628) Prec@5 62.500 (66.881) Epoch: [12][7550/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8877 (2.7097) Prec@1 37.500 (41.631) Prec@5 63.281 (66.882) Epoch: [12][7560/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7875 (2.7098) Prec@1 40.625 (41.630) Prec@5 66.406 (66.883) Epoch: [12][7570/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.3979 (2.7097) Prec@1 41.406 (41.628) Prec@5 72.656 (66.885) Epoch: [12][7580/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5398 (2.7097) Prec@1 46.094 (41.630) Prec@5 69.531 (66.883) Epoch: [12][7590/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2894 (2.7096) Prec@1 50.000 (41.631) Prec@5 75.000 (66.884) Epoch: [12][7600/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.0708 (2.7097) Prec@1 38.281 (41.632) Prec@5 64.844 (66.883) Epoch: [12][7610/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7212 (2.7096) Prec@1 42.188 (41.633) Prec@5 66.406 (66.887) Epoch: [12][7620/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7672 (2.7096) Prec@1 40.625 (41.634) Prec@5 63.281 (66.886) Epoch: [12][7630/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9091 (2.7096) Prec@1 40.625 (41.635) Prec@5 62.500 (66.886) Epoch: [12][7640/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7331 (2.7095) Prec@1 35.938 (41.636) Prec@5 68.750 (66.889) Epoch: [12][7650/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9030 (2.7094) Prec@1 44.531 (41.636) Prec@5 60.938 (66.890) Epoch: [12][7660/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4074 (2.7093) Prec@1 51.562 (41.638) Prec@5 71.875 (66.891) Epoch: [12][7670/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4342 (2.7093) Prec@1 44.531 (41.637) Prec@5 73.438 (66.889) Epoch: [12][7680/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5362 (2.7092) Prec@1 46.875 (41.638) Prec@5 67.188 (66.892) Epoch: [12][7690/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4419 (2.7091) Prec@1 49.219 (41.642) Prec@5 72.656 (66.893) Epoch: [12][7700/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.0274 (2.7092) Prec@1 40.625 (41.643) Prec@5 64.062 (66.891) Epoch: [12][7710/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8580 (2.7091) Prec@1 39.844 (41.644) Prec@5 64.844 (66.892) Epoch: [12][7720/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7500 (2.7092) Prec@1 40.625 (41.644) Prec@5 66.406 (66.893) Epoch: [12][7730/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2503 (2.7090) Prec@1 51.562 (41.648) Prec@5 76.562 (66.896) Epoch: [12][7740/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0741 (2.7091) Prec@1 35.156 (41.648) Prec@5 60.156 (66.894) Epoch: [12][7750/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5985 (2.7090) Prec@1 42.969 (41.647) Prec@5 67.969 (66.896) Epoch: [12][7760/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.3284 (2.7089) Prec@1 48.438 (41.651) Prec@5 74.219 (66.898) Epoch: [12][7770/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7380 (2.7089) Prec@1 40.625 (41.652) Prec@5 64.844 (66.897) Epoch: [12][7780/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0861 (2.7090) Prec@1 39.844 (41.652) Prec@5 55.469 (66.896) Epoch: [12][7790/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4970 (2.7089) Prec@1 43.750 (41.654) Prec@5 72.656 (66.898) Epoch: [12][7800/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3009 (2.7089) Prec@1 49.219 (41.652) Prec@5 74.219 (66.897) Epoch: [12][7810/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8034 (2.7090) Prec@1 43.750 (41.652) Prec@5 65.625 (66.896) Epoch: [12][7820/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0272 (2.7090) Prec@1 37.500 (41.650) Prec@5 60.938 (66.896) Epoch: [12][7830/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8081 (2.7090) Prec@1 38.281 (41.649) Prec@5 66.406 (66.898) Epoch: [12][7840/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6266 (2.7090) Prec@1 42.188 (41.647) Prec@5 65.625 (66.898) Epoch: [12][7850/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4250 (2.7091) Prec@1 51.562 (41.645) Prec@5 68.750 (66.896) Epoch: [12][7860/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4890 (2.7091) Prec@1 42.969 (41.646) Prec@5 68.750 (66.897) Epoch: [12][7870/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6047 (2.7090) Prec@1 44.531 (41.646) Prec@5 67.188 (66.898) Epoch: [12][7880/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6810 (2.7090) Prec@1 45.312 (41.649) Prec@5 62.500 (66.897) Epoch: [12][7890/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.6209 (2.7091) Prec@1 40.625 (41.646) Prec@5 66.406 (66.895) Epoch: [12][7900/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6528 (2.7091) Prec@1 35.156 (41.644) Prec@5 69.531 (66.895) Epoch: [12][7910/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8789 (2.7090) Prec@1 32.812 (41.645) Prec@5 62.500 (66.896) Epoch: [12][7920/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7060 (2.7089) Prec@1 44.531 (41.648) Prec@5 65.625 (66.898) Epoch: [12][7930/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7424 (2.7089) Prec@1 42.188 (41.646) Prec@5 69.531 (66.897) Epoch: [12][7940/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7246 (2.7090) Prec@1 38.281 (41.643) Prec@5 64.062 (66.895) Epoch: [12][7950/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.6841 (2.7090) Prec@1 36.719 (41.644) Prec@5 69.531 (66.895) Epoch: [12][7960/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8586 (2.7090) Prec@1 39.844 (41.640) Prec@5 63.281 (66.895) Epoch: [12][7970/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7671 (2.7091) Prec@1 41.406 (41.640) Prec@5 64.844 (66.894) Epoch: [12][7980/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6882 (2.7091) Prec@1 49.219 (41.640) Prec@5 70.312 (66.893) Epoch: [12][7990/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7718 (2.7091) Prec@1 35.938 (41.638) Prec@5 70.312 (66.895) Epoch: [12][8000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5508 (2.7090) Prec@1 45.312 (41.641) Prec@5 71.094 (66.897) Epoch: [12][8010/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7024 (2.7090) Prec@1 44.531 (41.641) Prec@5 71.094 (66.899) Epoch: [12][8020/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8864 (2.7092) Prec@1 41.406 (41.638) Prec@5 67.188 (66.897) Epoch: [12][8030/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7638 (2.7091) Prec@1 38.281 (41.640) Prec@5 65.625 (66.899) Epoch: [12][8040/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.1187 (2.7092) Prec@1 34.375 (41.638) Prec@5 60.156 (66.896) Epoch: [12][8050/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.0800 (2.7092) Prec@1 38.281 (41.637) Prec@5 61.719 (66.897) Epoch: [12][8060/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4768 (2.7091) Prec@1 45.312 (41.636) Prec@5 73.438 (66.899) Epoch: [12][8070/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6266 (2.7092) Prec@1 43.750 (41.637) Prec@5 67.188 (66.898) Epoch: [12][8080/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5311 (2.7092) Prec@1 42.188 (41.634) Prec@5 66.406 (66.898) Epoch: [12][8090/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7871 (2.7093) Prec@1 38.281 (41.632) Prec@5 68.750 (66.896) Epoch: [12][8100/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9461 (2.7093) Prec@1 38.281 (41.630) Prec@5 64.844 (66.895) Epoch: [12][8110/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8128 (2.7093) Prec@1 34.375 (41.630) Prec@5 68.750 (66.895) Epoch: [12][8120/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.2508 (2.7092) Prec@1 48.438 (41.630) Prec@5 75.000 (66.896) Epoch: [12][8130/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9572 (2.7094) Prec@1 42.188 (41.629) Prec@5 61.719 (66.893) Epoch: [12][8140/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7357 (2.7094) Prec@1 38.281 (41.631) Prec@5 64.062 (66.894) Epoch: [12][8150/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7878 (2.7093) Prec@1 39.844 (41.630) Prec@5 64.844 (66.897) Epoch: [12][8160/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8783 (2.7094) Prec@1 35.938 (41.630) Prec@5 64.844 (66.895) Epoch: [12][8170/10010] Time 0.352 (0.331) Data 0.001 (0.001) Loss 3.0149 (2.7093) Prec@1 32.812 (41.630) Prec@5 61.719 (66.897) Epoch: [12][8180/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8402 (2.7095) Prec@1 36.719 (41.629) Prec@5 65.625 (66.896) Epoch: [12][8190/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9429 (2.7096) Prec@1 40.625 (41.627) Prec@5 62.500 (66.894) Epoch: [12][8200/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7014 (2.7096) Prec@1 39.844 (41.628) Prec@5 66.406 (66.893) Epoch: [12][8210/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0195 (2.7095) Prec@1 39.844 (41.629) Prec@5 61.719 (66.895) Epoch: [12][8220/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.2908 (2.7096) Prec@1 32.031 (41.628) Prec@5 55.469 (66.895) Epoch: [12][8230/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7787 (2.7097) Prec@1 38.281 (41.625) Prec@5 61.719 (66.894) Epoch: [12][8240/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7134 (2.7099) Prec@1 49.219 (41.624) Prec@5 67.969 (66.893) Epoch: [12][8250/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7562 (2.7098) Prec@1 39.062 (41.626) Prec@5 68.750 (66.892) Epoch: [12][8260/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6165 (2.7098) Prec@1 46.875 (41.627) Prec@5 68.750 (66.891) Epoch: [12][8270/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0602 (2.7098) Prec@1 41.406 (41.628) Prec@5 65.625 (66.891) Epoch: [12][8280/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5166 (2.7098) Prec@1 48.438 (41.631) Prec@5 66.406 (66.891) Epoch: [12][8290/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.2658 (2.7096) Prec@1 53.906 (41.632) Prec@5 77.344 (66.894) Epoch: [12][8300/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6844 (2.7096) Prec@1 41.406 (41.632) Prec@5 67.969 (66.893) Epoch: [12][8310/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8088 (2.7096) Prec@1 39.844 (41.632) Prec@5 65.625 (66.895) Epoch: [12][8320/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9733 (2.7096) Prec@1 38.281 (41.632) Prec@5 65.625 (66.895) Epoch: [12][8330/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7487 (2.7096) Prec@1 39.844 (41.634) Prec@5 65.625 (66.895) Epoch: [12][8340/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6615 (2.7097) Prec@1 44.531 (41.632) Prec@5 64.062 (66.892) Epoch: [12][8350/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8264 (2.7096) Prec@1 35.938 (41.633) Prec@5 64.062 (66.893) Epoch: [12][8360/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7521 (2.7096) Prec@1 39.062 (41.632) Prec@5 68.750 (66.893) Epoch: [12][8370/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8717 (2.7096) Prec@1 39.844 (41.632) Prec@5 67.188 (66.894) Epoch: [12][8380/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8984 (2.7098) Prec@1 42.969 (41.628) Prec@5 60.156 (66.891) Epoch: [12][8390/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8421 (2.7098) Prec@1 39.062 (41.627) Prec@5 64.062 (66.891) Epoch: [12][8400/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0094 (2.7097) Prec@1 39.062 (41.628) Prec@5 63.281 (66.892) Epoch: [12][8410/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.9349 (2.7098) Prec@1 37.500 (41.625) Prec@5 64.062 (66.890) Epoch: [12][8420/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6977 (2.7099) Prec@1 42.188 (41.623) Prec@5 68.750 (66.888) Epoch: [12][8430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8065 (2.7099) Prec@1 42.188 (41.623) Prec@5 62.500 (66.888) Epoch: [12][8440/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8342 (2.7100) Prec@1 39.844 (41.621) Prec@5 64.844 (66.885) Epoch: [12][8450/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7798 (2.7101) Prec@1 37.500 (41.619) Prec@5 63.281 (66.883) Epoch: [12][8460/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6453 (2.7101) Prec@1 37.500 (41.620) Prec@5 68.750 (66.882) Epoch: [12][8470/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7357 (2.7101) Prec@1 42.188 (41.623) Prec@5 71.875 (66.883) Epoch: [12][8480/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7331 (2.7099) Prec@1 34.375 (41.622) Prec@5 67.188 (66.884) Epoch: [12][8490/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9421 (2.7100) Prec@1 32.031 (41.618) Prec@5 63.281 (66.882) Epoch: [12][8500/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7074 (2.7099) Prec@1 43.750 (41.619) Prec@5 64.062 (66.885) Epoch: [12][8510/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4124 (2.7099) Prec@1 47.656 (41.619) Prec@5 73.438 (66.886) Epoch: [12][8520/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4788 (2.7099) Prec@1 47.656 (41.620) Prec@5 75.000 (66.885) Epoch: [12][8530/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7163 (2.7099) Prec@1 41.406 (41.622) Prec@5 68.750 (66.888) Epoch: [12][8540/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7379 (2.7099) Prec@1 42.188 (41.623) Prec@5 64.844 (66.888) Epoch: [12][8550/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6550 (2.7099) Prec@1 45.312 (41.624) Prec@5 65.625 (66.887) Epoch: [12][8560/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7386 (2.7098) Prec@1 41.406 (41.625) Prec@5 64.844 (66.887) Epoch: [12][8570/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7675 (2.7097) Prec@1 35.156 (41.626) Prec@5 62.500 (66.888) Epoch: [12][8580/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7100 (2.7097) Prec@1 45.312 (41.626) Prec@5 65.625 (66.890) Epoch: [12][8590/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9378 (2.7097) Prec@1 37.500 (41.626) Prec@5 61.719 (66.890) Epoch: [12][8600/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7102 (2.7098) Prec@1 41.406 (41.625) Prec@5 66.406 (66.887) Epoch: [12][8610/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6710 (2.7098) Prec@1 41.406 (41.625) Prec@5 67.188 (66.887) Epoch: [12][8620/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9326 (2.7099) Prec@1 29.688 (41.623) Prec@5 65.625 (66.886) Epoch: [12][8630/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5948 (2.7099) Prec@1 43.750 (41.623) Prec@5 71.875 (66.886) Epoch: [12][8640/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5738 (2.7098) Prec@1 43.750 (41.625) Prec@5 66.406 (66.888) Epoch: [12][8650/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4958 (2.7098) Prec@1 43.750 (41.626) Prec@5 72.656 (66.888) Epoch: [12][8660/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7133 (2.7099) Prec@1 41.406 (41.625) Prec@5 66.406 (66.885) Epoch: [12][8670/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4602 (2.7099) Prec@1 45.312 (41.626) Prec@5 68.750 (66.885) Epoch: [12][8680/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3678 (2.7098) Prec@1 47.656 (41.625) Prec@5 73.438 (66.888) Epoch: [12][8690/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6533 (2.7099) Prec@1 41.406 (41.623) Prec@5 67.188 (66.887) Epoch: [12][8700/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6701 (2.7100) Prec@1 41.406 (41.621) Prec@5 65.625 (66.885) Epoch: [12][8710/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0952 (2.7099) Prec@1 34.375 (41.622) Prec@5 62.500 (66.886) Epoch: [12][8720/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5109 (2.7098) Prec@1 41.406 (41.624) Prec@5 71.875 (66.886) Epoch: [12][8730/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5885 (2.7099) Prec@1 42.969 (41.623) Prec@5 68.750 (66.886) Epoch: [12][8740/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5718 (2.7099) Prec@1 45.312 (41.622) Prec@5 71.094 (66.885) Epoch: [12][8750/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.9640 (2.7100) Prec@1 43.750 (41.620) Prec@5 64.062 (66.883) Epoch: [12][8760/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5918 (2.7101) Prec@1 40.625 (41.618) Prec@5 70.312 (66.882) Epoch: [12][8770/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5467 (2.7102) Prec@1 44.531 (41.617) Prec@5 71.875 (66.880) Epoch: [12][8780/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7230 (2.7102) Prec@1 42.188 (41.618) Prec@5 64.844 (66.881) Epoch: [12][8790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8504 (2.7101) Prec@1 36.719 (41.620) Prec@5 64.844 (66.883) Epoch: [12][8800/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4670 (2.7100) Prec@1 46.094 (41.623) Prec@5 75.781 (66.886) Epoch: [12][8810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3217 (2.7101) Prec@1 48.438 (41.623) Prec@5 76.562 (66.887) Epoch: [12][8820/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5360 (2.7099) Prec@1 44.531 (41.627) Prec@5 69.531 (66.888) Epoch: [12][8830/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6239 (2.7099) Prec@1 40.625 (41.627) Prec@5 68.750 (66.888) Epoch: [12][8840/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3982 (2.7098) Prec@1 44.531 (41.626) Prec@5 75.000 (66.889) Epoch: [12][8850/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8605 (2.7099) Prec@1 35.156 (41.623) Prec@5 64.062 (66.887) Epoch: [12][8860/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4283 (2.7098) Prec@1 48.438 (41.626) Prec@5 75.781 (66.888) Epoch: [12][8870/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8110 (2.7098) Prec@1 38.281 (41.624) Prec@5 60.938 (66.887) Epoch: [12][8880/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4218 (2.7097) Prec@1 42.969 (41.625) Prec@5 72.656 (66.889) Epoch: [12][8890/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6016 (2.7098) Prec@1 44.531 (41.623) Prec@5 70.312 (66.888) Epoch: [12][8900/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5326 (2.7099) Prec@1 45.312 (41.623) Prec@5 69.531 (66.888) Epoch: [12][8910/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5927 (2.7099) Prec@1 42.969 (41.624) Prec@5 70.312 (66.889) Epoch: [12][8920/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4847 (2.7098) Prec@1 48.438 (41.625) Prec@5 70.312 (66.890) Epoch: [12][8930/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9680 (2.7099) Prec@1 39.062 (41.623) Prec@5 61.719 (66.891) Epoch: [12][8940/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6890 (2.7099) Prec@1 46.094 (41.622) Prec@5 71.094 (66.890) Epoch: [12][8950/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8171 (2.7097) Prec@1 37.500 (41.625) Prec@5 66.406 (66.895) Epoch: [12][8960/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.6768 (2.7096) Prec@1 42.188 (41.628) Prec@5 71.875 (66.896) Epoch: [12][8970/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0005 (2.7096) Prec@1 40.625 (41.628) Prec@5 64.062 (66.897) Epoch: [12][8980/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4463 (2.7095) Prec@1 50.781 (41.630) Prec@5 67.969 (66.899) Epoch: [12][8990/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6526 (2.7095) Prec@1 44.531 (41.631) Prec@5 71.094 (66.899) Epoch: [12][9000/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9820 (2.7095) Prec@1 37.500 (41.631) Prec@5 61.719 (66.900) Epoch: [12][9010/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6659 (2.7095) Prec@1 44.531 (41.631) Prec@5 65.625 (66.899) Epoch: [12][9020/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6553 (2.7095) Prec@1 36.719 (41.630) Prec@5 68.750 (66.899) Epoch: [12][9030/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5230 (2.7095) Prec@1 42.188 (41.630) Prec@5 73.438 (66.900) Epoch: [12][9040/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6040 (2.7094) Prec@1 36.719 (41.632) Prec@5 70.312 (66.901) Epoch: [12][9050/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7229 (2.7094) Prec@1 44.531 (41.634) Prec@5 63.281 (66.900) Epoch: [12][9060/10010] Time 0.339 (0.331) Data 0.004 (0.001) Loss 2.8376 (2.7095) Prec@1 38.281 (41.634) Prec@5 63.281 (66.898) Epoch: [12][9070/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6894 (2.7094) Prec@1 43.750 (41.634) Prec@5 64.062 (66.897) Epoch: [12][9080/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7439 (2.7094) Prec@1 38.281 (41.634) Prec@5 64.844 (66.898) Epoch: [12][9090/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.7977 (2.7094) Prec@1 38.281 (41.633) Prec@5 70.312 (66.898) Epoch: [12][9100/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7772 (2.7093) Prec@1 42.188 (41.635) Prec@5 67.188 (66.900) Epoch: [12][9110/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.5517 (2.7093) Prec@1 46.094 (41.635) Prec@5 71.094 (66.902) Epoch: [12][9120/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5848 (2.7093) Prec@1 42.969 (41.636) Prec@5 69.531 (66.902) Epoch: [12][9130/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9758 (2.7094) Prec@1 42.188 (41.635) Prec@5 60.938 (66.902) Epoch: [12][9140/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6377 (2.7094) Prec@1 40.625 (41.635) Prec@5 66.406 (66.901) Epoch: [12][9150/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8280 (2.7095) Prec@1 43.750 (41.634) Prec@5 63.281 (66.899) Epoch: [12][9160/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7395 (2.7095) Prec@1 38.281 (41.633) Prec@5 67.188 (66.901) Epoch: [12][9170/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6511 (2.7094) Prec@1 41.406 (41.633) Prec@5 67.188 (66.901) Epoch: [12][9180/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6414 (2.7094) Prec@1 42.188 (41.633) Prec@5 67.969 (66.902) Epoch: [12][9190/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6934 (2.7093) Prec@1 41.406 (41.633) Prec@5 64.062 (66.903) Epoch: [12][9200/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0649 (2.7093) Prec@1 33.594 (41.634) Prec@5 60.156 (66.903) Epoch: [12][9210/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7181 (2.7093) Prec@1 46.875 (41.633) Prec@5 67.969 (66.903) Epoch: [12][9220/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6531 (2.7092) Prec@1 42.188 (41.637) Prec@5 65.625 (66.906) Epoch: [12][9230/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3596 (2.7093) Prec@1 46.875 (41.636) Prec@5 73.438 (66.907) Epoch: [12][9240/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6046 (2.7093) Prec@1 43.750 (41.635) Prec@5 69.531 (66.905) Epoch: [12][9250/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4795 (2.7092) Prec@1 42.188 (41.636) Prec@5 73.438 (66.906) Epoch: [12][9260/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5740 (2.7092) Prec@1 43.750 (41.639) Prec@5 67.969 (66.906) Epoch: [12][9270/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4254 (2.7092) Prec@1 44.531 (41.639) Prec@5 71.094 (66.906) Epoch: [12][9280/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0285 (2.7092) Prec@1 31.250 (41.638) Prec@5 60.938 (66.906) Epoch: [12][9290/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7244 (2.7092) Prec@1 42.969 (41.638) Prec@5 67.188 (66.908) Epoch: [12][9300/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 2.7443 (2.7093) Prec@1 35.938 (41.635) Prec@5 66.406 (66.906) Epoch: [12][9310/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8630 (2.7094) Prec@1 38.281 (41.632) Prec@5 64.844 (66.905) Epoch: [12][9320/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0009 (2.7095) Prec@1 32.812 (41.628) Prec@5 61.719 (66.903) Epoch: [12][9330/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 3.1137 (2.7095) Prec@1 35.156 (41.627) Prec@5 61.719 (66.902) Epoch: [12][9340/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.4446 (2.7095) Prec@1 45.312 (41.628) Prec@5 70.312 (66.904) Epoch: [12][9350/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5880 (2.7095) Prec@1 44.531 (41.629) Prec@5 71.875 (66.906) Epoch: [12][9360/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4280 (2.7095) Prec@1 39.844 (41.630) Prec@5 70.312 (66.905) Epoch: [12][9370/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5862 (2.7095) Prec@1 44.531 (41.630) Prec@5 68.750 (66.905) Epoch: [12][9380/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4286 (2.7095) Prec@1 53.125 (41.631) Prec@5 67.188 (66.903) Epoch: [12][9390/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8274 (2.7095) Prec@1 39.062 (41.631) Prec@5 64.844 (66.902) Epoch: [12][9400/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5645 (2.7096) Prec@1 46.094 (41.629) Prec@5 67.969 (66.900) Epoch: [12][9410/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4622 (2.7097) Prec@1 49.219 (41.628) Prec@5 70.312 (66.900) Epoch: [12][9420/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6583 (2.7097) Prec@1 40.625 (41.627) Prec@5 70.312 (66.901) Epoch: [12][9430/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6037 (2.7096) Prec@1 44.531 (41.628) Prec@5 72.656 (66.902) Epoch: [12][9440/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.8413 (2.7095) Prec@1 36.719 (41.628) Prec@5 64.062 (66.901) Epoch: [12][9450/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5663 (2.7096) Prec@1 47.656 (41.627) Prec@5 67.969 (66.900) Epoch: [12][9460/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4804 (2.7094) Prec@1 46.875 (41.628) Prec@5 71.875 (66.902) Epoch: [12][9470/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6572 (2.7095) Prec@1 43.750 (41.630) Prec@5 66.406 (66.903) Epoch: [12][9480/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8492 (2.7095) Prec@1 36.719 (41.629) Prec@5 66.406 (66.903) Epoch: [12][9490/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1369 (2.7096) Prec@1 39.062 (41.628) Prec@5 60.938 (66.902) Epoch: [12][9500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6068 (2.7095) Prec@1 39.844 (41.627) Prec@5 72.656 (66.902) Epoch: [12][9510/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.9353 (2.7097) Prec@1 36.719 (41.624) Prec@5 63.281 (66.898) Epoch: [12][9520/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4063 (2.7096) Prec@1 50.000 (41.624) Prec@5 71.094 (66.899) Epoch: [12][9530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.1269 (2.7097) Prec@1 40.625 (41.622) Prec@5 64.062 (66.899) Epoch: [12][9540/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9287 (2.7097) Prec@1 39.062 (41.620) Prec@5 61.719 (66.898) Epoch: [12][9550/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6019 (2.7098) Prec@1 35.938 (41.619) Prec@5 68.750 (66.898) Epoch: [12][9560/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9424 (2.7099) Prec@1 40.625 (41.618) Prec@5 64.844 (66.898) Epoch: [12][9570/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6806 (2.7099) Prec@1 43.750 (41.618) Prec@5 67.188 (66.898) Epoch: [12][9580/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.9783 (2.7099) Prec@1 37.500 (41.619) Prec@5 64.062 (66.898) Epoch: [12][9590/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3947 (2.7099) Prec@1 39.844 (41.616) Prec@5 76.562 (66.898) Epoch: [12][9600/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6049 (2.7098) Prec@1 43.750 (41.617) Prec@5 69.531 (66.901) Epoch: [12][9610/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5628 (2.7099) Prec@1 40.625 (41.616) Prec@5 71.875 (66.901) Epoch: [12][9620/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.5575 (2.7099) Prec@1 44.531 (41.616) Prec@5 68.750 (66.900) Epoch: [12][9630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9457 (2.7099) Prec@1 41.406 (41.617) Prec@5 61.719 (66.901) Epoch: [12][9640/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6390 (2.7099) Prec@1 40.625 (41.616) Prec@5 65.625 (66.901) Epoch: [12][9650/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5934 (2.7100) Prec@1 43.750 (41.612) Prec@5 69.531 (66.899) Epoch: [12][9660/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6672 (2.7100) Prec@1 36.719 (41.612) Prec@5 63.281 (66.898) Epoch: [12][9670/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0843 (2.7101) Prec@1 39.062 (41.610) Prec@5 57.812 (66.895) Epoch: [12][9680/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0558 (2.7101) Prec@1 37.500 (41.610) Prec@5 62.500 (66.894) Epoch: [12][9690/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4595 (2.7102) Prec@1 43.750 (41.609) Prec@5 69.531 (66.894) Epoch: [12][9700/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7649 (2.7101) Prec@1 37.500 (41.607) Prec@5 65.625 (66.895) Epoch: [12][9710/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8601 (2.7102) Prec@1 38.281 (41.606) Prec@5 66.406 (66.895) Epoch: [12][9720/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4892 (2.7101) Prec@1 51.562 (41.609) Prec@5 69.531 (66.895) Epoch: [12][9730/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3448 (2.7102) Prec@1 49.219 (41.608) Prec@5 71.094 (66.893) Epoch: [12][9740/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6301 (2.7103) Prec@1 42.188 (41.606) Prec@5 66.406 (66.891) Epoch: [12][9750/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7761 (2.7103) Prec@1 46.875 (41.607) Prec@5 66.406 (66.892) Epoch: [12][9760/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7285 (2.7104) Prec@1 43.750 (41.605) Prec@5 69.531 (66.891) Epoch: [12][9770/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8997 (2.7104) Prec@1 41.406 (41.603) Prec@5 64.844 (66.890) Epoch: [12][9780/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 3.0246 (2.7106) Prec@1 31.250 (41.601) Prec@5 59.375 (66.888) Epoch: [12][9790/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8790 (2.7105) Prec@1 41.406 (41.602) Prec@5 64.062 (66.887) Epoch: [12][9800/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5130 (2.7105) Prec@1 42.969 (41.603) Prec@5 68.750 (66.888) Epoch: [12][9810/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 3.0141 (2.7106) Prec@1 32.812 (41.601) Prec@5 57.031 (66.885) Epoch: [12][9820/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6334 (2.7105) Prec@1 39.062 (41.601) Prec@5 68.750 (66.885) Epoch: [12][9830/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7944 (2.7104) Prec@1 39.062 (41.602) Prec@5 64.844 (66.887) Epoch: [12][9840/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5068 (2.7102) Prec@1 41.406 (41.604) Prec@5 69.531 (66.890) Epoch: [12][9850/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9257 (2.7103) Prec@1 37.500 (41.602) Prec@5 64.844 (66.889) Epoch: [12][9860/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0847 (2.7104) Prec@1 34.375 (41.598) Prec@5 62.500 (66.887) Epoch: [12][9870/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8267 (2.7104) Prec@1 39.062 (41.599) Prec@5 63.281 (66.888) Epoch: [12][9880/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5330 (2.7104) Prec@1 41.406 (41.598) Prec@5 68.750 (66.888) Epoch: [12][9890/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7255 (2.7103) Prec@1 42.969 (41.601) Prec@5 61.719 (66.889) Epoch: [12][9900/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.1185 (2.7105) Prec@1 35.156 (41.601) Prec@5 59.375 (66.886) Epoch: [12][9910/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8270 (2.7105) Prec@1 39.062 (41.601) Prec@5 60.156 (66.885) Epoch: [12][9920/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7865 (2.7105) Prec@1 42.969 (41.600) Prec@5 65.625 (66.888) Epoch: [12][9930/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9035 (2.7106) Prec@1 38.281 (41.600) Prec@5 57.812 (66.886) Epoch: [12][9940/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8643 (2.7107) Prec@1 39.062 (41.599) Prec@5 64.062 (66.886) Epoch: [12][9950/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1851 (2.7107) Prec@1 36.719 (41.600) Prec@5 60.156 (66.886) Epoch: [12][9960/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4123 (2.7105) Prec@1 47.656 (41.603) Prec@5 67.969 (66.888) Epoch: [12][9970/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8601 (2.7105) Prec@1 38.281 (41.602) Prec@5 60.938 (66.887) Epoch: [12][9980/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6188 (2.7105) Prec@1 43.750 (41.600) Prec@5 67.188 (66.886) Epoch: [12][9990/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.0254 (2.7107) Prec@1 30.469 (41.596) Prec@5 60.156 (66.884) Epoch: [12][10000/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7717 (2.7107) Prec@1 39.062 (41.596) Prec@5 62.500 (66.885) Test: [0/391] Time 1.408 (1.408) Loss 1.6175 (1.6175) Prec@1 69.531 (69.531) Prec@5 82.031 (82.031) Test: [10/391] Time 0.124 (0.234) Loss 2.8249 (1.8995) Prec@1 44.531 (56.392) Prec@5 64.844 (80.043) Test: [20/391] Time 0.107 (0.183) Loss 2.6702 (2.3521) Prec@1 43.750 (47.284) Prec@5 68.750 (73.475) Test: [30/391] Time 0.108 (0.161) Loss 2.1123 (2.5502) Prec@1 53.906 (43.926) Prec@5 78.125 (70.136) Test: [40/391] Time 0.107 (0.147) Loss 2.3963 (2.3371) Prec@1 47.656 (48.247) Prec@5 67.969 (73.152) Test: [50/391] Time 0.107 (0.139) Loss 1.1975 (2.3626) Prec@1 74.219 (47.871) Prec@5 89.844 (72.794) Test: [60/391] Time 0.105 (0.135) Loss 2.3002 (2.2766) Prec@1 41.406 (49.168) Prec@5 78.906 (74.334) Test: [70/391] Time 0.121 (0.132) Loss 2.5405 (2.3592) Prec@1 35.156 (46.853) Prec@5 73.438 (73.118) Test: [80/391] Time 0.108 (0.129) Loss 3.2615 (2.4338) Prec@1 28.906 (44.994) Prec@5 57.031 (72.020) Test: [90/391] Time 0.112 (0.126) Loss 2.0516 (2.5090) Prec@1 40.625 (43.166) Prec@5 79.688 (71.068) Test: [100/391] Time 0.108 (0.125) Loss 2.6672 (2.4778) Prec@1 30.469 (43.100) Prec@5 75.000 (71.790) Test: [110/391] Time 0.106 (0.124) Loss 1.6324 (2.4464) Prec@1 51.562 (43.018) Prec@5 88.281 (72.459) Test: [120/391] Time 0.102 (0.122) Loss 1.6456 (2.4144) Prec@1 53.125 (43.563) Prec@5 82.031 (72.973) Test: [130/391] Time 0.110 (0.121) Loss 0.9382 (2.3620) Prec@1 75.000 (44.549) Prec@5 91.406 (73.718) Test: [140/391] Time 0.105 (0.120) Loss 3.4750 (2.3641) Prec@1 18.750 (44.404) Prec@5 60.156 (73.737) Test: [150/391] Time 0.113 (0.120) Loss 1.9108 (2.3707) Prec@1 42.969 (44.469) Prec@5 81.250 (73.593) Test: [160/391] Time 0.104 (0.119) Loss 2.6218 (2.3890) Prec@1 42.969 (44.463) Prec@5 67.969 (73.180) Test: [170/391] Time 0.112 (0.118) Loss 2.5018 (2.4217) Prec@1 45.312 (44.010) Prec@5 75.000 (72.656) Test: [180/391] Time 0.105 (0.118) Loss 3.7929 (2.4607) Prec@1 24.219 (43.482) Prec@5 53.125 (72.017) Test: [190/391] Time 0.105 (0.117) Loss 3.6935 (2.5018) Prec@1 19.531 (42.858) Prec@5 55.469 (71.290) Test: [200/391] Time 0.106 (0.117) Loss 2.7402 (2.5416) Prec@1 39.062 (42.417) Prec@5 68.750 (70.709) Test: [210/391] Time 0.108 (0.117) Loss 2.4984 (2.5664) Prec@1 42.188 (41.951) Prec@5 72.656 (70.294) Test: [220/391] Time 0.103 (0.116) Loss 1.9885 (2.5669) Prec@1 54.688 (42.060) Prec@5 74.219 (70.178) Test: [230/391] Time 0.114 (0.116) Loss 2.8478 (2.5792) Prec@1 42.969 (41.890) Prec@5 68.750 (69.927) Test: [240/391] Time 0.106 (0.116) Loss 2.9244 (2.5975) Prec@1 40.625 (41.730) Prec@5 60.156 (69.567) Test: [250/391] Time 0.114 (0.115) Loss 2.0376 (2.6141) Prec@1 51.562 (41.531) Prec@5 78.906 (69.316) Test: [260/391] Time 0.110 (0.115) Loss 3.9496 (2.6284) Prec@1 24.219 (41.340) Prec@5 50.781 (69.115) Test: [270/391] Time 0.105 (0.115) Loss 2.6655 (2.6314) Prec@1 38.281 (41.300) Prec@5 67.969 (69.041) Test: [280/391] Time 0.109 (0.115) Loss 2.6752 (2.6419) Prec@1 39.062 (41.106) Prec@5 64.062 (68.839) Test: [290/391] Time 0.108 (0.114) Loss 2.4931 (2.6614) Prec@1 32.812 (40.867) Prec@5 72.656 (68.460) Test: [300/391] Time 0.107 (0.114) Loss 2.2295 (2.6720) Prec@1 53.906 (40.768) Prec@5 77.344 (68.275) Test: [310/391] Time 0.103 (0.114) Loss 3.6173 (2.6850) Prec@1 32.031 (40.587) Prec@5 53.906 (68.014) Test: [320/391] Time 0.107 (0.114) Loss 1.4512 (2.6905) Prec@1 64.062 (40.530) Prec@5 86.719 (67.908) Test: [330/391] Time 0.110 (0.114) Loss 3.5361 (2.7169) Prec@1 19.531 (40.082) Prec@5 57.031 (67.475) Test: [340/391] Time 0.169 (0.114) Loss 2.6650 (2.7196) Prec@1 30.469 (39.984) Prec@5 73.438 (67.414) Test: [350/391] Time 0.108 (0.114) Loss 3.6333 (2.7234) Prec@1 23.438 (39.942) Prec@5 52.344 (67.372) Test: [360/391] Time 0.108 (0.114) Loss 2.2625 (2.7250) Prec@1 43.750 (39.950) Prec@5 71.094 (67.348) Test: [370/391] Time 0.105 (0.113) Loss 1.5470 (2.7204) Prec@1 57.812 (40.042) Prec@5 92.188 (67.432) Test: [380/391] Time 0.101 (0.113) Loss 1.8278 (2.7177) Prec@1 56.250 (40.092) Prec@5 79.688 (67.514) Test: [390/391] Time 0.067 (0.113) Loss 3.6686 (2.7040) Prec@1 26.250 (40.380) Prec@5 50.000 (67.720) * Prec@1 40.380 Prec@5 67.720 Epoch: [13][0/10010] Time 2.649 (2.649) Data 2.468 (2.468) Loss 2.7394 (2.7394) Prec@1 34.375 (34.375) Prec@5 68.750 (68.750) Epoch: [13][10/10010] Time 0.327 (0.536) Data 0.001 (0.232) Loss 2.4187 (2.6871) Prec@1 42.188 (40.270) Prec@5 77.344 (68.892) Epoch: [13][20/10010] Time 0.327 (0.434) Data 0.000 (0.122) Loss 2.7139 (2.6621) Prec@1 41.406 (41.332) Prec@5 63.281 (68.676) Epoch: [13][30/10010] Time 0.320 (0.398) Data 0.001 (0.083) Loss 2.7146 (2.6576) Prec@1 41.406 (41.608) Prec@5 70.312 (68.851) Epoch: [13][40/10010] Time 0.323 (0.380) Data 0.000 (0.063) Loss 2.8156 (2.6695) Prec@1 40.625 (41.692) Prec@5 63.281 (68.521) Epoch: [13][50/10010] Time 0.328 (0.369) Data 0.000 (0.050) Loss 2.9271 (2.6958) Prec@1 43.750 (41.268) Prec@5 65.625 (68.107) Epoch: [13][60/10010] Time 0.324 (0.363) Data 0.000 (0.042) Loss 2.4448 (2.6797) Prec@1 42.188 (41.496) Prec@5 70.312 (68.276) Epoch: [13][70/10010] Time 0.333 (0.359) Data 0.001 (0.036) Loss 2.7842 (2.6661) Prec@1 39.062 (41.758) Prec@5 64.844 (68.354) Epoch: [13][80/10010] Time 0.347 (0.356) Data 0.000 (0.032) Loss 2.7549 (2.6673) Prec@1 39.062 (41.879) Prec@5 65.625 (68.229) Epoch: [13][90/10010] Time 0.323 (0.354) Data 0.001 (0.029) Loss 2.2319 (2.6499) Prec@1 49.219 (42.067) Prec@5 73.438 (68.415) Epoch: [13][100/10010] Time 0.328 (0.351) Data 0.000 (0.026) Loss 2.8239 (2.6554) Prec@1 43.750 (42.141) Prec@5 67.969 (68.263) Epoch: [13][110/10010] Time 0.335 (0.350) Data 0.001 (0.024) Loss 2.4397 (2.6530) Prec@1 53.125 (42.117) Prec@5 72.656 (68.180) Epoch: [13][120/10010] Time 0.329 (0.348) Data 0.001 (0.022) Loss 2.5468 (2.6555) Prec@1 41.406 (42.129) Prec@5 71.094 (68.208) Epoch: [13][130/10010] Time 0.341 (0.347) Data 0.001 (0.020) Loss 2.5999 (2.6575) Prec@1 42.969 (42.098) Prec@5 66.406 (68.118) Epoch: [13][140/10010] Time 0.338 (0.346) Data 0.001 (0.019) Loss 2.4597 (2.6630) Prec@1 44.531 (42.055) Prec@5 68.750 (68.035) Epoch: [13][150/10010] Time 0.337 (0.345) Data 0.001 (0.018) Loss 2.9970 (2.6633) Prec@1 40.625 (41.955) Prec@5 66.406 (68.010) Epoch: [13][160/10010] Time 0.331 (0.345) Data 0.001 (0.016) Loss 2.7211 (2.6685) Prec@1 35.938 (41.901) Prec@5 64.062 (67.872) Epoch: [13][170/10010] Time 0.317 (0.344) Data 0.001 (0.016) Loss 2.5513 (2.6709) Prec@1 42.969 (41.872) Prec@5 70.312 (67.859) Epoch: [13][180/10010] Time 0.336 (0.343) Data 0.001 (0.015) Loss 2.8839 (2.6657) Prec@1 35.938 (41.989) Prec@5 65.625 (67.887) Epoch: [13][190/10010] Time 0.324 (0.343) Data 0.000 (0.014) Loss 2.7763 (2.6667) Prec@1 43.750 (42.024) Prec@5 67.188 (67.854) Epoch: [13][200/10010] Time 0.339 (0.342) Data 0.001 (0.013) Loss 2.9441 (2.6698) Prec@1 36.719 (42.051) Prec@5 60.938 (67.844) Epoch: [13][210/10010] Time 0.332 (0.342) Data 0.000 (0.013) Loss 2.7482 (2.6698) Prec@1 38.281 (42.147) Prec@5 64.062 (67.813) Epoch: [13][220/10010] Time 0.333 (0.341) Data 0.001 (0.012) Loss 2.9587 (2.6738) Prec@1 34.375 (42.060) Prec@5 62.500 (67.792) Epoch: [13][230/10010] Time 0.341 (0.341) Data 0.000 (0.012) Loss 2.7117 (2.6754) Prec@1 42.188 (42.042) Prec@5 68.750 (67.776) Epoch: [13][240/10010] Time 0.328 (0.341) Data 0.000 (0.011) Loss 2.7511 (2.6774) Prec@1 42.969 (42.016) Prec@5 65.625 (67.716) Epoch: [13][250/10010] Time 0.341 (0.341) Data 0.001 (0.011) Loss 2.6723 (2.6795) Prec@1 42.969 (41.991) Prec@5 67.188 (67.654) Epoch: [13][260/10010] Time 0.335 (0.340) Data 0.001 (0.010) Loss 2.6044 (2.6799) Prec@1 38.281 (41.960) Prec@5 65.625 (67.622) Epoch: [13][270/10010] Time 0.332 (0.340) Data 0.001 (0.010) Loss 2.6745 (2.6779) Prec@1 38.281 (42.026) Prec@5 70.312 (67.663) Epoch: [13][280/10010] Time 0.321 (0.340) Data 0.000 (0.010) Loss 2.7645 (2.6763) Prec@1 42.188 (42.140) Prec@5 64.844 (67.655) Epoch: [13][290/10010] Time 0.331 (0.340) Data 0.001 (0.009) Loss 2.5708 (2.6732) Prec@1 44.531 (42.209) Prec@5 71.094 (67.719) Epoch: [13][300/10010] Time 0.344 (0.339) Data 0.000 (0.009) Loss 2.6847 (2.6769) Prec@1 39.844 (42.151) Prec@5 67.188 (67.650) Epoch: [13][310/10010] Time 0.320 (0.339) Data 0.000 (0.009) Loss 2.7243 (2.6747) Prec@1 43.750 (42.167) Prec@5 66.406 (67.713) Epoch: [13][320/10010] Time 0.326 (0.339) Data 0.001 (0.009) Loss 2.9022 (2.6752) Prec@1 33.594 (42.129) Prec@5 63.281 (67.708) Epoch: [13][330/10010] Time 0.323 (0.338) Data 0.001 (0.008) Loss 2.8408 (2.6761) Prec@1 32.812 (42.136) Prec@5 61.719 (67.690) Epoch: [13][340/10010] Time 0.333 (0.338) Data 0.000 (0.008) Loss 2.4200 (2.6735) Prec@1 45.312 (42.169) Prec@5 71.094 (67.763) Epoch: [13][350/10010] Time 0.333 (0.338) Data 0.001 (0.008) Loss 2.7886 (2.6735) Prec@1 41.406 (42.165) Prec@5 66.406 (67.742) Epoch: [13][360/10010] Time 0.333 (0.338) Data 0.001 (0.008) Loss 2.7388 (2.6732) Prec@1 43.750 (42.213) Prec@5 61.719 (67.735) Epoch: [13][370/10010] Time 0.334 (0.338) Data 0.001 (0.007) Loss 2.9073 (2.6740) Prec@1 40.625 (42.217) Prec@5 60.156 (67.699) Epoch: [13][380/10010] Time 0.332 (0.338) Data 0.001 (0.007) Loss 2.9777 (2.6754) Prec@1 37.500 (42.196) Prec@5 64.844 (67.655) Epoch: [13][390/10010] Time 0.331 (0.338) Data 0.001 (0.007) Loss 2.7151 (2.6761) Prec@1 42.969 (42.180) Prec@5 67.969 (67.605) Epoch: [13][400/10010] Time 0.334 (0.337) Data 0.001 (0.007) Loss 2.6767 (2.6775) Prec@1 42.969 (42.086) Prec@5 66.406 (67.602) Epoch: [13][410/10010] Time 0.349 (0.337) Data 0.000 (0.007) Loss 2.8266 (2.6787) Prec@1 35.156 (42.056) Prec@5 67.969 (67.611) Epoch: [13][420/10010] Time 0.327 (0.337) Data 0.000 (0.007) Loss 2.6134 (2.6781) Prec@1 44.531 (42.041) Prec@5 68.750 (67.609) Epoch: [13][430/10010] Time 0.329 (0.337) Data 0.001 (0.007) Loss 2.5809 (2.6792) Prec@1 43.750 (42.053) Prec@5 71.094 (67.594) Epoch: [13][440/10010] Time 0.341 (0.337) Data 0.001 (0.006) Loss 2.5294 (2.6778) Prec@1 47.656 (42.067) Prec@5 70.312 (67.627) Epoch: [13][450/10010] Time 0.328 (0.337) Data 0.001 (0.006) Loss 2.6222 (2.6772) Prec@1 38.281 (42.063) Prec@5 70.312 (67.634) Epoch: [13][460/10010] Time 0.322 (0.336) Data 0.001 (0.006) Loss 2.7972 (2.6776) Prec@1 42.969 (42.069) Prec@5 63.281 (67.625) Epoch: [13][470/10010] Time 0.336 (0.336) Data 0.000 (0.006) Loss 2.1162 (2.6773) Prec@1 51.562 (42.081) Prec@5 78.906 (67.617) Epoch: [13][480/10010] Time 0.320 (0.336) Data 0.001 (0.006) Loss 2.4554 (2.6794) Prec@1 46.094 (42.030) Prec@5 70.312 (67.556) Epoch: [13][490/10010] Time 0.329 (0.336) Data 0.001 (0.006) Loss 2.3758 (2.6780) Prec@1 51.562 (42.087) Prec@5 71.094 (67.582) /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: [13][500/10010] Time 0.339 (0.336) Data 0.001 (0.006) Loss 2.8233 (2.6768) Prec@1 36.719 (42.117) Prec@5 64.844 (67.579) Epoch: [13][510/10010] Time 0.336 (0.336) Data 0.000 (0.006) Loss 2.8318 (2.6772) Prec@1 39.062 (42.094) Prec@5 64.062 (67.582) Epoch: [13][520/10010] Time 0.332 (0.336) Data 0.001 (0.006) Loss 2.6726 (2.6763) Prec@1 43.750 (42.152) Prec@5 66.406 (67.598) Epoch: [13][530/10010] Time 0.338 (0.336) Data 0.001 (0.005) Loss 2.5081 (2.6753) Prec@1 46.094 (42.174) Prec@5 71.875 (67.638) Epoch: [13][540/10010] Time 0.329 (0.336) Data 0.000 (0.005) Loss 2.6252 (2.6744) Prec@1 46.094 (42.231) Prec@5 65.625 (67.652) Epoch: [13][550/10010] Time 0.331 (0.336) Data 0.001 (0.005) Loss 2.7585 (2.6742) Prec@1 42.188 (42.234) Prec@5 71.875 (67.650) Epoch: [13][560/10010] Time 0.349 (0.336) Data 0.001 (0.005) Loss 2.7648 (2.6746) Prec@1 42.188 (42.228) Prec@5 65.625 (67.660) Epoch: [13][570/10010] Time 0.320 (0.336) Data 0.001 (0.005) Loss 2.4328 (2.6748) Prec@1 49.219 (42.226) Prec@5 71.875 (67.657) Epoch: [13][580/10010] Time 0.326 (0.336) Data 0.000 (0.005) Loss 2.4982 (2.6754) Prec@1 38.281 (42.186) Prec@5 70.312 (67.630) Epoch: [13][590/10010] Time 0.331 (0.336) Data 0.001 (0.005) Loss 2.6969 (2.6765) Prec@1 41.406 (42.177) Prec@5 66.406 (67.611) Epoch: [13][600/10010] Time 0.344 (0.336) Data 0.000 (0.005) Loss 2.6695 (2.6760) Prec@1 39.844 (42.202) Prec@5 68.750 (67.603) Epoch: [13][610/10010] Time 0.333 (0.336) Data 0.000 (0.005) Loss 2.7765 (2.6762) Prec@1 42.969 (42.194) Prec@5 64.844 (67.607) Epoch: [13][620/10010] Time 0.329 (0.335) Data 0.000 (0.005) Loss 2.6807 (2.6781) Prec@1 40.625 (42.143) Prec@5 66.406 (67.571) Epoch: [13][630/10010] Time 0.324 (0.335) Data 0.001 (0.005) Loss 2.7237 (2.6785) Prec@1 41.406 (42.139) Prec@5 66.406 (67.556) Epoch: [13][640/10010] Time 0.316 (0.335) Data 0.001 (0.005) Loss 2.5020 (2.6764) Prec@1 42.969 (42.175) Prec@5 69.531 (67.584) Epoch: [13][650/10010] Time 0.324 (0.335) Data 0.000 (0.005) Loss 2.6879 (2.6773) Prec@1 43.750 (42.156) Prec@5 68.750 (67.570) Epoch: [13][660/10010] Time 0.343 (0.335) Data 0.001 (0.004) Loss 2.6580 (2.6785) Prec@1 42.188 (42.147) Prec@5 71.875 (67.549) Epoch: [13][670/10010] Time 0.332 (0.335) Data 0.000 (0.004) Loss 2.5705 (2.6791) Prec@1 48.438 (42.133) Prec@5 67.188 (67.534) Epoch: [13][680/10010] Time 0.331 (0.335) Data 0.000 (0.004) Loss 2.6247 (2.6783) Prec@1 43.750 (42.137) Prec@5 67.188 (67.553) Epoch: [13][690/10010] Time 0.339 (0.335) Data 0.001 (0.004) Loss 2.8012 (2.6800) Prec@1 39.062 (42.115) Prec@5 69.531 (67.537) Epoch: [13][700/10010] Time 0.330 (0.335) Data 0.001 (0.004) Loss 3.1781 (2.6807) Prec@1 35.938 (42.098) Prec@5 61.719 (67.536) Epoch: [13][710/10010] Time 0.330 (0.335) Data 0.000 (0.004) Loss 2.5796 (2.6811) Prec@1 42.188 (42.084) Prec@5 71.094 (67.534) Epoch: [13][720/10010] Time 0.333 (0.335) Data 0.000 (0.004) Loss 2.8511 (2.6818) Prec@1 39.062 (42.067) Prec@5 63.281 (67.502) Epoch: [13][730/10010] Time 0.329 (0.335) Data 0.000 (0.004) Loss 2.5093 (2.6809) Prec@1 44.531 (42.066) Prec@5 72.656 (67.515) Epoch: [13][740/10010] Time 0.326 (0.335) Data 0.001 (0.004) Loss 2.8440 (2.6792) Prec@1 36.719 (42.083) Prec@5 59.375 (67.534) Epoch: [13][750/10010] Time 0.337 (0.335) Data 0.001 (0.004) Loss 2.5832 (2.6785) Prec@1 42.969 (42.081) Prec@5 65.625 (67.546) Epoch: [13][760/10010] Time 0.324 (0.335) Data 0.001 (0.004) Loss 2.6769 (2.6798) Prec@1 40.625 (42.069) Prec@5 67.969 (67.538) Epoch: [13][770/10010] Time 0.330 (0.335) Data 0.000 (0.004) Loss 2.5487 (2.6798) Prec@1 47.656 (42.066) Prec@5 73.438 (67.553) Epoch: [13][780/10010] Time 0.321 (0.335) Data 0.001 (0.004) Loss 3.1687 (2.6806) Prec@1 35.938 (42.062) Prec@5 60.938 (67.561) Epoch: [13][790/10010] Time 0.327 (0.335) Data 0.001 (0.004) Loss 2.7033 (2.6807) Prec@1 42.969 (42.064) Prec@5 70.312 (67.555) Epoch: [13][800/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.6753 (2.6804) Prec@1 42.969 (42.074) Prec@5 65.625 (67.533) Epoch: [13][810/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 2.4474 (2.6802) Prec@1 49.219 (42.092) Prec@5 74.219 (67.521) Epoch: [13][820/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 2.6470 (2.6805) Prec@1 49.219 (42.089) Prec@5 69.531 (67.514) Epoch: [13][830/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.7027 (2.6808) Prec@1 45.312 (42.081) Prec@5 71.094 (67.525) Epoch: [13][840/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 2.8981 (2.6822) Prec@1 35.938 (42.049) Prec@5 64.062 (67.501) Epoch: [13][850/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.7774 (2.6816) Prec@1 39.062 (42.057) Prec@5 67.188 (67.510) Epoch: [13][860/10010] Time 0.321 (0.334) Data 0.000 (0.004) Loss 2.4527 (2.6807) Prec@1 43.750 (42.072) Prec@5 71.094 (67.508) Epoch: [13][870/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 2.4874 (2.6815) Prec@1 43.750 (42.074) Prec@5 73.438 (67.487) Epoch: [13][880/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.5679 (2.6806) Prec@1 50.000 (42.095) Prec@5 72.656 (67.516) Epoch: [13][890/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.6498 (2.6795) Prec@1 47.656 (42.124) Prec@5 66.406 (67.529) Epoch: [13][900/10010] Time 0.321 (0.334) Data 0.000 (0.003) Loss 2.6719 (2.6791) Prec@1 43.750 (42.136) Prec@5 67.188 (67.520) Epoch: [13][910/10010] Time 0.333 (0.334) Data 0.000 (0.003) Loss 2.5987 (2.6787) Prec@1 43.750 (42.158) Prec@5 71.875 (67.529) Epoch: [13][920/10010] Time 0.315 (0.334) Data 0.000 (0.003) Loss 2.6607 (2.6799) Prec@1 44.531 (42.135) Prec@5 68.750 (67.515) Epoch: [13][930/10010] Time 0.317 (0.334) Data 0.000 (0.003) Loss 2.6502 (2.6796) Prec@1 42.969 (42.139) Prec@5 67.969 (67.513) Epoch: [13][940/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 2.6130 (2.6798) Prec@1 46.094 (42.132) Prec@5 64.062 (67.502) Epoch: [13][950/10010] Time 0.318 (0.334) Data 0.000 (0.003) Loss 2.5400 (2.6797) Prec@1 46.094 (42.126) Prec@5 71.094 (67.510) Epoch: [13][960/10010] Time 0.336 (0.334) Data 0.001 (0.003) Loss 2.4670 (2.6786) Prec@1 43.750 (42.136) Prec@5 67.188 (67.517) Epoch: [13][970/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 2.3769 (2.6783) Prec@1 49.219 (42.143) Prec@5 71.094 (67.510) Epoch: [13][980/10010] Time 0.343 (0.334) Data 0.001 (0.003) Loss 2.6728 (2.6779) Prec@1 40.625 (42.156) Prec@5 67.969 (67.513) Epoch: [13][990/10010] Time 0.329 (0.334) Data 0.001 (0.003) Loss 2.5295 (2.6795) Prec@1 39.844 (42.131) Prec@5 68.750 (67.490) Epoch: [13][1000/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 2.5176 (2.6787) Prec@1 47.656 (42.145) Prec@5 73.438 (67.510) Epoch: [13][1010/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.8276 (2.6790) Prec@1 43.750 (42.147) Prec@5 64.844 (67.498) Epoch: [13][1020/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 2.5717 (2.6795) Prec@1 40.625 (42.120) Prec@5 67.188 (67.469) Epoch: [13][1030/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.7874 (2.6798) Prec@1 39.062 (42.124) Prec@5 67.188 (67.464) Epoch: [13][1040/10010] Time 0.328 (0.334) Data 0.000 (0.003) Loss 2.9897 (2.6800) Prec@1 35.938 (42.114) Prec@5 61.719 (67.451) Epoch: [13][1050/10010] Time 0.329 (0.334) Data 0.000 (0.003) Loss 3.1551 (2.6801) Prec@1 30.469 (42.112) Prec@5 53.906 (67.442) Epoch: [13][1060/10010] Time 0.319 (0.334) Data 0.000 (0.003) Loss 2.8403 (2.6805) Prec@1 41.406 (42.107) Prec@5 61.719 (67.428) Epoch: [13][1070/10010] Time 0.349 (0.334) Data 0.001 (0.003) Loss 2.7959 (2.6806) Prec@1 42.188 (42.111) Prec@5 64.844 (67.425) Epoch: [13][1080/10010] Time 0.334 (0.334) Data 0.000 (0.003) Loss 3.0315 (2.6808) Prec@1 40.625 (42.107) Prec@5 57.812 (67.419) Epoch: [13][1090/10010] Time 0.340 (0.334) Data 0.001 (0.003) Loss 2.4860 (2.6804) Prec@1 50.781 (42.122) Prec@5 71.094 (67.423) Epoch: [13][1100/10010] Time 0.344 (0.334) Data 0.000 (0.003) Loss 2.9712 (2.6806) Prec@1 39.844 (42.114) Prec@5 60.938 (67.419) Epoch: [13][1110/10010] Time 0.317 (0.334) Data 0.001 (0.003) Loss 3.0679 (2.6814) Prec@1 39.844 (42.112) Prec@5 61.719 (67.394) Epoch: [13][1120/10010] Time 0.328 (0.334) Data 0.001 (0.003) Loss 2.8370 (2.6820) Prec@1 41.406 (42.098) Prec@5 66.406 (67.390) Epoch: [13][1130/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.8270 (2.6821) Prec@1 36.719 (42.098) Prec@5 61.719 (67.384) Epoch: [13][1140/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 2.6494 (2.6820) Prec@1 39.844 (42.103) Prec@5 64.844 (67.377) Epoch: [13][1150/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.7701 (2.6816) Prec@1 45.312 (42.117) Prec@5 64.062 (67.384) Epoch: [13][1160/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 2.3981 (2.6813) Prec@1 46.094 (42.112) Prec@5 75.781 (67.397) Epoch: [13][1170/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.9017 (2.6806) Prec@1 39.062 (42.123) Prec@5 59.375 (67.402) Epoch: [13][1180/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.3569 (2.6809) Prec@1 46.094 (42.107) Prec@5 70.312 (67.391) Epoch: [13][1190/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.6835 (2.6816) Prec@1 46.094 (42.097) Prec@5 67.969 (67.374) Epoch: [13][1200/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.4824 (2.6813) Prec@1 46.094 (42.105) Prec@5 70.312 (67.383) Epoch: [13][1210/10010] Time 0.316 (0.333) Data 0.000 (0.003) Loss 2.4710 (2.6813) Prec@1 41.406 (42.093) Prec@5 71.875 (67.384) Epoch: [13][1220/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 3.0174 (2.6816) Prec@1 37.500 (42.099) Prec@5 57.031 (67.371) Epoch: [13][1230/10010] Time 0.348 (0.333) Data 0.000 (0.003) Loss 2.8169 (2.6820) Prec@1 33.594 (42.084) Prec@5 61.719 (67.354) Epoch: [13][1240/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.8216 (2.6825) Prec@1 35.938 (42.080) Prec@5 62.500 (67.344) Epoch: [13][1250/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 3.1432 (2.6834) Prec@1 31.250 (42.049) Prec@5 57.812 (67.326) Epoch: [13][1260/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.3069 (2.6832) Prec@1 46.875 (42.054) Prec@5 75.781 (67.324) Epoch: [13][1270/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 2.6229 (2.6826) Prec@1 44.531 (42.060) Prec@5 71.875 (67.328) Epoch: [13][1280/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.5997 (2.6833) Prec@1 48.438 (42.050) Prec@5 62.500 (67.313) Epoch: [13][1290/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.7397 (2.6840) Prec@1 38.281 (42.036) Prec@5 70.312 (67.302) Epoch: [13][1300/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.4389 (2.6840) Prec@1 48.438 (42.044) Prec@5 68.750 (67.291) Epoch: [13][1310/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 3.0372 (2.6841) Prec@1 32.812 (42.044) Prec@5 55.469 (67.283) Epoch: [13][1320/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 2.6045 (2.6842) Prec@1 42.969 (42.041) Prec@5 67.188 (67.279) Epoch: [13][1330/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.6171 (2.6845) Prec@1 38.281 (42.031) Prec@5 73.438 (67.290) Epoch: [13][1340/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 2.7218 (2.6849) Prec@1 44.531 (42.027) Prec@5 67.188 (67.284) Epoch: [13][1350/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.6619 (2.6845) Prec@1 43.750 (42.028) Prec@5 69.531 (67.298) Epoch: [13][1360/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.9355 (2.6851) Prec@1 36.719 (42.020) Prec@5 58.594 (67.288) Epoch: [13][1370/10010] Time 0.349 (0.333) Data 0.001 (0.002) Loss 2.8722 (2.6848) Prec@1 42.969 (42.026) Prec@5 63.281 (67.292) Epoch: [13][1380/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 3.2165 (2.6860) Prec@1 34.375 (42.005) Prec@5 56.250 (67.263) Epoch: [13][1390/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.8430 (2.6861) Prec@1 35.156 (42.009) Prec@5 62.500 (67.265) Epoch: [13][1400/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.8921 (2.6860) Prec@1 39.062 (42.007) Prec@5 64.844 (67.266) Epoch: [13][1410/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.7357 (2.6861) Prec@1 40.625 (42.001) Prec@5 67.188 (67.254) Epoch: [13][1420/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.6703 (2.6859) Prec@1 38.281 (42.004) Prec@5 67.188 (67.247) Epoch: [13][1430/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.6071 (2.6858) Prec@1 44.531 (42.007) Prec@5 69.531 (67.255) Epoch: [13][1440/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.6366 (2.6854) Prec@1 46.094 (42.018) Prec@5 71.094 (67.260) Epoch: [13][1450/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.8548 (2.6860) Prec@1 41.406 (42.008) Prec@5 66.406 (67.253) Epoch: [13][1460/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.5691 (2.6865) Prec@1 40.625 (41.991) Prec@5 71.094 (67.250) Epoch: [13][1470/10010] Time 0.348 (0.333) Data 0.001 (0.002) Loss 2.8055 (2.6858) Prec@1 42.188 (42.010) Prec@5 64.062 (67.260) Epoch: [13][1480/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.4307 (2.6860) Prec@1 45.312 (42.009) Prec@5 71.094 (67.259) Epoch: [13][1490/10010] Time 0.316 (0.333) Data 0.000 (0.002) Loss 2.5668 (2.6850) Prec@1 43.750 (42.028) Prec@5 76.562 (67.290) Epoch: [13][1500/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.3276 (2.6848) Prec@1 42.188 (42.039) Prec@5 72.656 (67.291) Epoch: [13][1510/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.5255 (2.6844) Prec@1 46.094 (42.045) Prec@5 71.094 (67.300) Epoch: [13][1520/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.5816 (2.6847) Prec@1 39.844 (42.039) Prec@5 69.531 (67.297) Epoch: [13][1530/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.4948 (2.6849) Prec@1 42.969 (42.030) Prec@5 71.094 (67.286) Epoch: [13][1540/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 2.6946 (2.6855) Prec@1 42.188 (42.016) Prec@5 67.969 (67.266) Epoch: [13][1550/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.9485 (2.6860) Prec@1 37.500 (42.006) Prec@5 60.938 (67.263) Epoch: [13][1560/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.5853 (2.6858) Prec@1 42.969 (42.009) Prec@5 71.094 (67.263) Epoch: [13][1570/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.9147 (2.6862) Prec@1 38.281 (42.019) Prec@5 60.938 (67.252) Epoch: [13][1580/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.5857 (2.6858) Prec@1 43.750 (42.025) Prec@5 70.312 (67.261) Epoch: [13][1590/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.9263 (2.6857) Prec@1 30.469 (42.027) Prec@5 67.188 (67.267) Epoch: [13][1600/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.3071 (2.6860) Prec@1 43.750 (42.021) Prec@5 74.219 (67.261) Epoch: [13][1610/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.6217 (2.6855) Prec@1 46.094 (42.026) Prec@5 63.281 (67.269) Epoch: [13][1620/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.7949 (2.6858) Prec@1 39.844 (42.019) Prec@5 62.500 (67.251) Epoch: [13][1630/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.8603 (2.6864) Prec@1 44.531 (42.010) Prec@5 60.938 (67.235) Epoch: [13][1640/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.4531 (2.6859) Prec@1 49.219 (42.023) Prec@5 71.094 (67.239) Epoch: [13][1650/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.7144 (2.6862) Prec@1 40.625 (42.028) Prec@5 71.094 (67.233) Epoch: [13][1660/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.7279 (2.6865) Prec@1 40.625 (42.021) Prec@5 64.844 (67.222) Epoch: [13][1670/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 3.1070 (2.6869) Prec@1 32.031 (42.008) Prec@5 64.062 (67.216) Epoch: [13][1680/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.6119 (2.6870) Prec@1 45.312 (42.003) Prec@5 67.188 (67.219) Epoch: [13][1690/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.5969 (2.6868) Prec@1 39.844 (42.016) Prec@5 69.531 (67.222) Epoch: [13][1700/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 2.8562 (2.6875) Prec@1 39.844 (41.996) Prec@5 67.188 (67.203) Epoch: [13][1710/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.7363 (2.6879) Prec@1 45.312 (42.000) Prec@5 67.188 (67.188) Epoch: [13][1720/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.7058 (2.6884) Prec@1 38.281 (41.982) Prec@5 66.406 (67.174) Epoch: [13][1730/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.5158 (2.6888) Prec@1 49.219 (41.981) Prec@5 68.750 (67.164) Epoch: [13][1740/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.5997 (2.6889) Prec@1 38.281 (41.975) Prec@5 71.094 (67.162) Epoch: [13][1750/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.8779 (2.6883) Prec@1 41.406 (41.985) Prec@5 68.750 (67.183) Epoch: [13][1760/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.9344 (2.6887) Prec@1 32.812 (41.976) Prec@5 61.719 (67.167) Epoch: [13][1770/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.5985 (2.6890) Prec@1 41.406 (41.980) Prec@5 72.656 (67.162) Epoch: [13][1780/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.8214 (2.6893) Prec@1 43.750 (41.984) Prec@5 64.062 (67.159) /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: [13][1790/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.7105 (2.6894) Prec@1 40.625 (41.977) Prec@5 67.969 (67.160) Epoch: [13][1800/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.6972 (2.6892) Prec@1 41.406 (41.975) Prec@5 65.625 (67.164) Epoch: [13][1810/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.7744 (2.6895) Prec@1 33.594 (41.971) Prec@5 63.281 (67.161) Epoch: [13][1820/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.6594 (2.6897) Prec@1 44.531 (41.975) Prec@5 71.094 (67.160) Epoch: [13][1830/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 3.1506 (2.6899) Prec@1 32.812 (41.966) Prec@5 57.031 (67.154) Epoch: [13][1840/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.9447 (2.6899) Prec@1 36.719 (41.972) Prec@5 59.375 (67.146) Epoch: [13][1850/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.3063 (2.6898) Prec@1 50.781 (41.968) Prec@5 75.000 (67.142) Epoch: [13][1860/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.7129 (2.6909) Prec@1 38.281 (41.952) Prec@5 66.406 (67.126) Epoch: [13][1870/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.5005 (2.6907) Prec@1 41.406 (41.954) Prec@5 72.656 (67.127) Epoch: [13][1880/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.6913 (2.6901) Prec@1 43.750 (41.964) Prec@5 69.531 (67.147) Epoch: [13][1890/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.4923 (2.6899) Prec@1 43.750 (41.971) Prec@5 71.875 (67.155) Epoch: [13][1900/10010] Time 0.347 (0.333) Data 0.001 (0.002) Loss 2.5969 (2.6896) Prec@1 40.625 (41.974) Prec@5 66.406 (67.152) Epoch: [13][1910/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.2251 (2.6889) Prec@1 53.125 (41.992) Prec@5 77.344 (67.164) Epoch: [13][1920/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.4286 (2.6885) Prec@1 42.969 (42.011) Prec@5 75.000 (67.175) Epoch: [13][1930/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.5998 (2.6886) Prec@1 45.312 (42.006) Prec@5 66.406 (67.171) Epoch: [13][1940/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 3.1586 (2.6890) Prec@1 33.594 (42.003) Prec@5 60.938 (67.161) Epoch: [13][1950/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 2.8259 (2.6893) Prec@1 40.625 (41.998) Prec@5 67.188 (67.157) Epoch: [13][1960/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 3.0614 (2.6898) Prec@1 29.688 (41.994) Prec@5 60.938 (67.148) Epoch: [13][1970/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.3987 (2.6891) Prec@1 46.094 (42.010) Prec@5 71.094 (67.153) Epoch: [13][1980/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.5300 (2.6887) Prec@1 49.219 (42.024) Prec@5 67.969 (67.156) Epoch: [13][1990/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.5492 (2.6888) Prec@1 43.750 (42.022) Prec@5 73.438 (67.151) Epoch: [13][2000/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.6839 (2.6886) Prec@1 44.531 (42.027) Prec@5 65.625 (67.156) Epoch: [13][2010/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.4757 (2.6881) Prec@1 46.875 (42.034) Prec@5 71.094 (67.165) Epoch: [13][2020/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 2.3828 (2.6881) Prec@1 46.094 (42.032) Prec@5 71.094 (67.168) Epoch: [13][2030/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.4664 (2.6882) Prec@1 43.750 (42.034) Prec@5 68.750 (67.168) Epoch: [13][2040/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.8113 (2.6883) Prec@1 40.625 (42.032) Prec@5 64.844 (67.161) Epoch: [13][2050/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.6901 (2.6887) Prec@1 40.625 (42.016) Prec@5 62.500 (67.147) Epoch: [13][2060/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.9125 (2.6890) Prec@1 35.938 (42.007) Prec@5 65.625 (67.145) Epoch: [13][2070/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.6085 (2.6888) Prec@1 39.062 (42.012) Prec@5 67.969 (67.149) Epoch: [13][2080/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 3.0046 (2.6892) Prec@1 39.062 (42.008) Prec@5 60.938 (67.140) Epoch: [13][2090/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.6484 (2.6893) Prec@1 35.938 (42.002) Prec@5 73.438 (67.144) Epoch: [13][2100/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.6015 (2.6893) Prec@1 43.750 (42.005) Prec@5 70.312 (67.145) Epoch: [13][2110/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.4802 (2.6893) Prec@1 43.750 (42.000) Prec@5 71.094 (67.149) Epoch: [13][2120/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.9318 (2.6895) Prec@1 40.625 (41.993) Prec@5 64.062 (67.141) Epoch: [13][2130/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.6242 (2.6901) Prec@1 44.531 (41.985) Prec@5 67.969 (67.135) Epoch: [13][2140/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.6963 (2.6903) Prec@1 39.844 (41.984) Prec@5 68.750 (67.136) Epoch: [13][2150/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 3.0316 (2.6910) Prec@1 36.719 (41.980) Prec@5 58.594 (67.122) Epoch: [13][2160/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.5674 (2.6911) Prec@1 46.094 (41.984) Prec@5 67.188 (67.118) Epoch: [13][2170/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.6622 (2.6908) Prec@1 41.406 (41.986) Prec@5 66.406 (67.123) Epoch: [13][2180/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.5000 (2.6911) Prec@1 39.062 (41.983) Prec@5 75.000 (67.131) Epoch: [13][2190/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.4982 (2.6911) Prec@1 46.875 (41.979) Prec@5 68.750 (67.123) Epoch: [13][2200/10010] Time 0.313 (0.333) Data 0.001 (0.002) Loss 2.6936 (2.6911) Prec@1 41.406 (41.975) Prec@5 67.188 (67.126) Epoch: [13][2210/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.5970 (2.6913) Prec@1 40.625 (41.971) Prec@5 73.438 (67.128) Epoch: [13][2220/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.7045 (2.6914) Prec@1 44.531 (41.983) Prec@5 66.406 (67.128) Epoch: [13][2230/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.6949 (2.6913) Prec@1 42.969 (41.980) Prec@5 67.188 (67.127) Epoch: [13][2240/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.4633 (2.6912) Prec@1 43.750 (41.983) Prec@5 73.438 (67.136) Epoch: [13][2250/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.4808 (2.6915) Prec@1 46.875 (41.975) Prec@5 67.188 (67.136) Epoch: [13][2260/10010] Time 0.352 (0.333) Data 0.001 (0.002) Loss 2.6513 (2.6913) Prec@1 40.625 (41.969) Prec@5 69.531 (67.141) Epoch: [13][2270/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.5405 (2.6913) Prec@1 43.750 (41.967) Prec@5 73.438 (67.136) Epoch: [13][2280/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.6275 (2.6911) Prec@1 42.188 (41.972) Prec@5 66.406 (67.143) Epoch: [13][2290/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.6922 (2.6912) Prec@1 39.062 (41.969) Prec@5 66.406 (67.134) Epoch: [13][2300/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.3395 (2.6912) Prec@1 50.000 (41.969) Prec@5 74.219 (67.137) Epoch: [13][2310/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.6192 (2.6913) Prec@1 44.531 (41.965) Prec@5 68.750 (67.141) Epoch: [13][2320/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.7514 (2.6911) Prec@1 42.188 (41.963) Prec@5 65.625 (67.146) Epoch: [13][2330/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.8828 (2.6915) Prec@1 37.500 (41.959) Prec@5 62.500 (67.136) Epoch: [13][2340/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.7484 (2.6917) Prec@1 38.281 (41.952) Prec@5 68.750 (67.130) Epoch: [13][2350/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.6551 (2.6921) Prec@1 42.969 (41.947) Prec@5 67.188 (67.129) Epoch: [13][2360/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.6381 (2.6923) Prec@1 42.188 (41.940) Prec@5 68.750 (67.123) Epoch: [13][2370/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.8835 (2.6921) Prec@1 39.844 (41.942) Prec@5 64.844 (67.128) Epoch: [13][2380/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.9120 (2.6925) Prec@1 40.625 (41.939) Prec@5 64.844 (67.121) Epoch: [13][2390/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.7210 (2.6926) Prec@1 42.188 (41.939) Prec@5 66.406 (67.117) Epoch: [13][2400/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.4580 (2.6928) Prec@1 45.312 (41.934) Prec@5 67.188 (67.109) Epoch: [13][2410/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.6793 (2.6930) Prec@1 46.094 (41.929) Prec@5 70.312 (67.105) Epoch: [13][2420/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.7918 (2.6932) Prec@1 39.844 (41.925) Prec@5 65.625 (67.099) Epoch: [13][2430/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 3.0216 (2.6937) Prec@1 33.594 (41.913) Prec@5 60.156 (67.091) Epoch: [13][2440/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.8294 (2.6932) Prec@1 43.750 (41.922) Prec@5 60.938 (67.098) Epoch: [13][2450/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.3232 (2.6936) Prec@1 50.000 (41.921) Prec@5 70.312 (67.089) Epoch: [13][2460/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.7257 (2.6937) Prec@1 37.500 (41.915) Prec@5 65.625 (67.088) Epoch: [13][2470/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.7678 (2.6937) Prec@1 43.750 (41.913) Prec@5 64.844 (67.090) Epoch: [13][2480/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.8889 (2.6941) Prec@1 33.594 (41.903) Prec@5 64.062 (67.087) Epoch: [13][2490/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 3.0673 (2.6942) Prec@1 36.719 (41.905) Prec@5 59.375 (67.083) Epoch: [13][2500/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.5688 (2.6942) Prec@1 42.188 (41.906) Prec@5 71.094 (67.082) Epoch: [13][2510/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.7850 (2.6945) Prec@1 36.719 (41.903) Prec@5 67.188 (67.073) Epoch: [13][2520/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 3.0066 (2.6946) Prec@1 40.625 (41.903) Prec@5 61.719 (67.072) Epoch: [13][2530/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.5598 (2.6948) Prec@1 44.531 (41.903) Prec@5 66.406 (67.061) Epoch: [13][2540/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.7116 (2.6946) Prec@1 39.844 (41.904) Prec@5 67.188 (67.064) Epoch: [13][2550/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.7409 (2.6949) Prec@1 33.594 (41.899) Prec@5 67.969 (67.058) Epoch: [13][2560/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.7144 (2.6944) Prec@1 47.656 (41.906) Prec@5 62.500 (67.066) Epoch: [13][2570/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.8731 (2.6945) Prec@1 42.188 (41.901) Prec@5 63.281 (67.062) Epoch: [13][2580/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.4704 (2.6944) Prec@1 45.312 (41.901) Prec@5 67.969 (67.064) Epoch: [13][2590/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.6863 (2.6944) Prec@1 41.406 (41.908) Prec@5 65.625 (67.066) Epoch: [13][2600/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 2.8548 (2.6941) Prec@1 44.531 (41.915) Prec@5 64.062 (67.070) Epoch: [13][2610/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.8864 (2.6941) Prec@1 35.156 (41.913) Prec@5 61.719 (67.071) Epoch: [13][2620/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 3.0160 (2.6943) Prec@1 35.156 (41.915) Prec@5 64.844 (67.070) Epoch: [13][2630/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.8405 (2.6943) Prec@1 37.500 (41.906) Prec@5 62.500 (67.071) Epoch: [13][2640/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.8429 (2.6945) Prec@1 35.938 (41.904) Prec@5 63.281 (67.069) Epoch: [13][2650/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.8538 (2.6947) Prec@1 37.500 (41.902) Prec@5 67.969 (67.076) Epoch: [13][2660/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.3749 (2.6946) Prec@1 48.438 (41.899) Prec@5 74.219 (67.072) Epoch: [13][2670/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.8145 (2.6948) Prec@1 40.625 (41.891) Prec@5 63.281 (67.072) Epoch: [13][2680/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.5083 (2.6948) Prec@1 46.094 (41.887) Prec@5 76.562 (67.074) Epoch: [13][2690/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.4583 (2.6946) Prec@1 44.531 (41.896) Prec@5 72.656 (67.082) Epoch: [13][2700/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.6397 (2.6946) Prec@1 44.531 (41.896) Prec@5 67.188 (67.087) Epoch: [13][2710/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.7616 (2.6944) Prec@1 36.719 (41.902) Prec@5 66.406 (67.096) Epoch: [13][2720/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.5070 (2.6945) Prec@1 46.875 (41.902) Prec@5 76.562 (67.098) Epoch: [13][2730/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 2.6105 (2.6944) Prec@1 44.531 (41.907) Prec@5 69.531 (67.103) Epoch: [13][2740/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.5390 (2.6944) Prec@1 44.531 (41.905) Prec@5 68.750 (67.103) Epoch: [13][2750/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.4253 (2.6945) Prec@1 46.875 (41.912) Prec@5 70.312 (67.096) Epoch: [13][2760/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 2.7387 (2.6947) Prec@1 35.156 (41.900) Prec@5 67.188 (67.091) Epoch: [13][2770/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.7461 (2.6948) Prec@1 40.625 (41.900) Prec@5 70.312 (67.089) Epoch: [13][2780/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.6429 (2.6947) Prec@1 44.531 (41.908) Prec@5 68.750 (67.091) Epoch: [13][2790/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.5722 (2.6943) Prec@1 48.438 (41.920) Prec@5 67.188 (67.097) Epoch: [13][2800/10010] Time 0.347 (0.333) Data 0.000 (0.002) Loss 2.7635 (2.6948) Prec@1 45.312 (41.910) Prec@5 66.406 (67.086) Epoch: [13][2810/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.9690 (2.6947) Prec@1 35.156 (41.911) Prec@5 66.406 (67.091) Epoch: [13][2820/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.4214 (2.6946) Prec@1 49.219 (41.918) Prec@5 68.750 (67.088) Epoch: [13][2830/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.4796 (2.6948) Prec@1 48.438 (41.917) Prec@5 69.531 (67.087) Epoch: [13][2840/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.4873 (2.6950) Prec@1 48.438 (41.911) Prec@5 67.969 (67.079) Epoch: [13][2850/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.9653 (2.6954) Prec@1 37.500 (41.903) Prec@5 62.500 (67.068) Epoch: [13][2860/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.8364 (2.6958) Prec@1 39.062 (41.900) Prec@5 64.844 (67.059) Epoch: [13][2870/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.6133 (2.6959) Prec@1 46.094 (41.899) Prec@5 70.312 (67.058) Epoch: [13][2880/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.7380 (2.6955) Prec@1 39.844 (41.906) Prec@5 69.531 (67.062) Epoch: [13][2890/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 2.4247 (2.6952) Prec@1 50.000 (41.908) Prec@5 71.875 (67.071) Epoch: [13][2900/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.7032 (2.6950) Prec@1 39.062 (41.913) Prec@5 64.062 (67.075) Epoch: [13][2910/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7231 (2.6950) Prec@1 38.281 (41.907) Prec@5 63.281 (67.071) Epoch: [13][2920/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.6073 (2.6951) Prec@1 49.219 (41.911) Prec@5 70.312 (67.073) Epoch: [13][2930/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.3066 (2.6951) Prec@1 42.188 (41.912) Prec@5 73.438 (67.076) Epoch: [13][2940/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.7886 (2.6954) Prec@1 43.750 (41.906) Prec@5 66.406 (67.069) Epoch: [13][2950/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 2.4951 (2.6954) Prec@1 50.781 (41.910) Prec@5 68.750 (67.070) Epoch: [13][2960/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.7775 (2.6954) Prec@1 42.969 (41.907) Prec@5 60.156 (67.073) Epoch: [13][2970/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.7459 (2.6957) Prec@1 41.406 (41.907) Prec@5 67.969 (67.070) Epoch: [13][2980/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 3.2403 (2.6959) Prec@1 33.594 (41.904) Prec@5 60.938 (67.070) Epoch: [13][2990/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.0651 (2.6958) Prec@1 51.562 (41.912) Prec@5 74.219 (67.073) Epoch: [13][3000/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.3863 (2.6955) Prec@1 49.219 (41.914) Prec@5 72.656 (67.077) Epoch: [13][3010/10010] Time 0.351 (0.333) Data 0.000 (0.001) Loss 2.7367 (2.6953) Prec@1 41.406 (41.914) Prec@5 65.625 (67.083) Epoch: [13][3020/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 2.6154 (2.6957) Prec@1 39.844 (41.906) Prec@5 66.406 (67.077) Epoch: [13][3030/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6730 (2.6960) Prec@1 43.750 (41.899) Prec@5 67.188 (67.071) Epoch: [13][3040/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.9346 (2.6965) Prec@1 36.719 (41.889) Prec@5 63.281 (67.064) Epoch: [13][3050/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.7014 (2.6967) Prec@1 43.750 (41.887) Prec@5 66.406 (67.061) Epoch: [13][3060/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.7246 (2.6967) Prec@1 41.406 (41.884) Prec@5 68.750 (67.061) Epoch: [13][3070/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.7122 (2.6968) Prec@1 42.188 (41.885) Prec@5 67.188 (67.063) Epoch: [13][3080/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.3883 (2.6969) Prec@1 42.188 (41.880) Prec@5 71.094 (67.063) Epoch: [13][3090/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.6483 (2.6968) Prec@1 40.625 (41.878) Prec@5 67.969 (67.062) Epoch: [13][3100/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.5561 (2.6973) Prec@1 48.438 (41.872) Prec@5 67.188 (67.054) Epoch: [13][3110/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.9364 (2.6973) Prec@1 39.844 (41.870) Prec@5 64.844 (67.053) Epoch: [13][3120/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 3.0266 (2.6978) Prec@1 35.938 (41.860) Prec@5 65.625 (67.049) Epoch: [13][3130/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.9593 (2.6978) Prec@1 37.500 (41.863) Prec@5 64.844 (67.052) Epoch: [13][3140/10010] Time 0.347 (0.333) Data 0.000 (0.001) Loss 2.6215 (2.6976) Prec@1 46.094 (41.865) Prec@5 67.188 (67.053) Epoch: [13][3150/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.5032 (2.6973) Prec@1 43.750 (41.869) Prec@5 71.875 (67.061) Epoch: [13][3160/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.8176 (2.6974) Prec@1 35.156 (41.867) Prec@5 59.375 (67.061) Epoch: [13][3170/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.5272 (2.6970) Prec@1 40.625 (41.869) Prec@5 67.188 (67.064) Epoch: [13][3180/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.9894 (2.6971) Prec@1 42.188 (41.864) Prec@5 65.625 (67.064) Epoch: [13][3190/10010] Time 0.346 (0.333) Data 0.003 (0.001) Loss 2.4553 (2.6969) Prec@1 48.438 (41.870) Prec@5 71.094 (67.065) Epoch: [13][3200/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.6569 (2.6971) Prec@1 46.875 (41.865) Prec@5 66.406 (67.060) Epoch: [13][3210/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.7097 (2.6969) Prec@1 45.312 (41.871) Prec@5 70.312 (67.066) Epoch: [13][3220/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.6965 (2.6969) Prec@1 42.969 (41.872) Prec@5 67.188 (67.066) Epoch: [13][3230/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.9615 (2.6968) Prec@1 39.062 (41.873) Prec@5 63.281 (67.068) Epoch: [13][3240/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7485 (2.6969) Prec@1 42.188 (41.877) Prec@5 59.375 (67.064) Epoch: [13][3250/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.7921 (2.6970) Prec@1 41.406 (41.871) Prec@5 64.844 (67.065) Epoch: [13][3260/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.6995 (2.6971) Prec@1 41.406 (41.870) Prec@5 62.500 (67.062) Epoch: [13][3270/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.5771 (2.6972) Prec@1 43.750 (41.869) Prec@5 67.188 (67.063) Epoch: [13][3280/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.7441 (2.6969) Prec@1 44.531 (41.874) Prec@5 67.188 (67.067) Epoch: [13][3290/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.5154 (2.6969) Prec@1 42.969 (41.877) Prec@5 72.656 (67.068) Epoch: [13][3300/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.7984 (2.6970) Prec@1 43.750 (41.878) Prec@5 68.750 (67.062) Epoch: [13][3310/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.6571 (2.6970) Prec@1 45.312 (41.878) Prec@5 67.969 (67.059) Epoch: [13][3320/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.6662 (2.6969) Prec@1 43.750 (41.877) Prec@5 67.188 (67.066) Epoch: [13][3330/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.5452 (2.6971) Prec@1 46.875 (41.875) Prec@5 69.531 (67.059) Epoch: [13][3340/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.7248 (2.6974) Prec@1 42.969 (41.873) Prec@5 64.844 (67.055) Epoch: [13][3350/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.4771 (2.6973) Prec@1 44.531 (41.872) Prec@5 70.312 (67.056) Epoch: [13][3360/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.2417 (2.6972) Prec@1 47.656 (41.875) Prec@5 74.219 (67.059) Epoch: [13][3370/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.6596 (2.6972) Prec@1 43.750 (41.875) Prec@5 64.844 (67.059) Epoch: [13][3380/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.8732 (2.6971) Prec@1 39.844 (41.878) Prec@5 64.844 (67.061) Epoch: [13][3390/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.7610 (2.6973) Prec@1 44.531 (41.875) Prec@5 64.844 (67.058) Epoch: [13][3400/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.5393 (2.6975) Prec@1 44.531 (41.877) Prec@5 69.531 (67.054) Epoch: [13][3410/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.6992 (2.6972) Prec@1 42.188 (41.883) Prec@5 66.406 (67.059) Epoch: [13][3420/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.9050 (2.6974) Prec@1 37.500 (41.873) Prec@5 63.281 (67.053) Epoch: [13][3430/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.7403 (2.6975) Prec@1 39.062 (41.869) Prec@5 63.281 (67.052) Epoch: [13][3440/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 3.0477 (2.6977) Prec@1 36.719 (41.859) Prec@5 57.812 (67.049) Epoch: [13][3450/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.6762 (2.6975) Prec@1 39.844 (41.864) Prec@5 67.188 (67.053) Epoch: [13][3460/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.7575 (2.6972) Prec@1 42.188 (41.869) Prec@5 62.500 (67.053) Epoch: [13][3470/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.8903 (2.6973) Prec@1 38.281 (41.865) Prec@5 66.406 (67.051) Epoch: [13][3480/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.6985 (2.6974) Prec@1 41.406 (41.868) Prec@5 67.188 (67.050) Epoch: [13][3490/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.4789 (2.6976) Prec@1 47.656 (41.873) Prec@5 67.969 (67.045) Epoch: [13][3500/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.6612 (2.6976) Prec@1 41.406 (41.870) Prec@5 69.531 (67.043) Epoch: [13][3510/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6642 (2.6977) Prec@1 37.500 (41.872) Prec@5 61.719 (67.040) Epoch: [13][3520/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.7656 (2.6977) Prec@1 42.188 (41.870) Prec@5 65.625 (67.037) Epoch: [13][3530/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.3039 (2.6975) Prec@1 43.750 (41.869) Prec@5 77.344 (67.042) Epoch: [13][3540/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 2.8301 (2.6976) Prec@1 43.750 (41.868) Prec@5 65.625 (67.036) Epoch: [13][3550/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 3.2542 (2.6979) Prec@1 34.375 (41.867) Prec@5 57.812 (67.032) Epoch: [13][3560/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.5621 (2.6981) Prec@1 46.094 (41.868) Prec@5 75.000 (67.029) Epoch: [13][3570/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.9106 (2.6981) Prec@1 42.188 (41.872) Prec@5 62.500 (67.029) Epoch: [13][3580/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.4360 (2.6978) Prec@1 47.656 (41.879) Prec@5 72.656 (67.032) Epoch: [13][3590/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.8441 (2.6979) Prec@1 40.625 (41.881) Prec@5 60.156 (67.030) Epoch: [13][3600/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.3495 (2.6976) Prec@1 50.781 (41.891) Prec@5 74.219 (67.038) Epoch: [13][3610/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.6804 (2.6973) Prec@1 40.625 (41.895) Prec@5 64.844 (67.039) Epoch: [13][3620/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.6455 (2.6971) Prec@1 42.969 (41.899) Prec@5 67.188 (67.047) Epoch: [13][3630/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.9299 (2.6971) Prec@1 33.594 (41.897) Prec@5 66.406 (67.050) Epoch: [13][3640/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.9384 (2.6972) Prec@1 36.719 (41.890) Prec@5 61.719 (67.045) Epoch: [13][3650/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 3.0909 (2.6974) Prec@1 30.469 (41.883) Prec@5 64.062 (67.043) Epoch: [13][3660/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.8561 (2.6972) Prec@1 37.500 (41.885) Prec@5 63.281 (67.045) Epoch: [13][3670/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.6927 (2.6972) Prec@1 42.188 (41.882) Prec@5 67.969 (67.049) Epoch: [13][3680/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.8600 (2.6971) Prec@1 36.719 (41.877) Prec@5 62.500 (67.048) Epoch: [13][3690/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.7946 (2.6972) Prec@1 39.062 (41.878) Prec@5 64.844 (67.049) Epoch: [13][3700/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.5035 (2.6972) Prec@1 39.844 (41.876) Prec@5 69.531 (67.050) Epoch: [13][3710/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.9948 (2.6971) Prec@1 37.500 (41.875) Prec@5 62.500 (67.051) Epoch: [13][3720/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.8814 (2.6969) Prec@1 41.406 (41.880) Prec@5 64.062 (67.057) Epoch: [13][3730/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.5049 (2.6966) Prec@1 46.094 (41.879) Prec@5 69.531 (67.061) Epoch: [13][3740/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.5806 (2.6964) Prec@1 45.312 (41.883) Prec@5 65.625 (67.060) Epoch: [13][3750/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.5847 (2.6965) Prec@1 44.531 (41.883) Prec@5 68.750 (67.056) Epoch: [13][3760/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.8764 (2.6966) Prec@1 42.969 (41.883) Prec@5 63.281 (67.053) Epoch: [13][3770/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.6339 (2.6966) Prec@1 37.500 (41.886) Prec@5 67.188 (67.055) Epoch: [13][3780/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.7469 (2.6966) Prec@1 40.625 (41.881) Prec@5 66.406 (67.053) Epoch: [13][3790/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.5528 (2.6962) Prec@1 46.094 (41.892) Prec@5 69.531 (67.059) Epoch: [13][3800/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.8078 (2.6963) Prec@1 43.750 (41.892) Prec@5 70.312 (67.061) Epoch: [13][3810/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.6594 (2.6961) Prec@1 39.062 (41.897) Prec@5 71.094 (67.069) Epoch: [13][3820/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.3470 (2.6964) Prec@1 44.531 (41.895) Prec@5 73.438 (67.064) Epoch: [13][3830/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.9292 (2.6965) Prec@1 36.719 (41.894) Prec@5 60.938 (67.060) Epoch: [13][3840/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.5826 (2.6964) Prec@1 43.750 (41.893) Prec@5 65.625 (67.062) Epoch: [13][3850/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.3902 (2.6965) Prec@1 46.875 (41.894) Prec@5 70.312 (67.060) Epoch: [13][3860/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.9287 (2.6966) Prec@1 36.719 (41.892) Prec@5 59.375 (67.057) Epoch: [13][3870/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.7607 (2.6968) Prec@1 39.062 (41.891) Prec@5 64.844 (67.049) Epoch: [13][3880/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.7812 (2.6970) Prec@1 36.719 (41.892) Prec@5 64.844 (67.044) /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: [13][3890/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.9453 (2.6971) Prec@1 33.594 (41.891) Prec@5 59.375 (67.043) Epoch: [13][3900/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.5543 (2.6970) Prec@1 45.312 (41.895) Prec@5 71.094 (67.047) Epoch: [13][3910/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.6527 (2.6972) Prec@1 43.750 (41.894) Prec@5 67.969 (67.045) Epoch: [13][3920/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.6428 (2.6973) Prec@1 41.406 (41.889) Prec@5 70.312 (67.044) Epoch: [13][3930/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.8072 (2.6972) Prec@1 38.281 (41.889) Prec@5 66.406 (67.047) Epoch: [13][3940/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.9359 (2.6972) Prec@1 35.156 (41.888) Prec@5 65.625 (67.048) Epoch: [13][3950/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.8799 (2.6976) Prec@1 40.625 (41.883) Prec@5 61.719 (67.043) Epoch: [13][3960/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.9760 (2.6976) Prec@1 39.062 (41.879) Prec@5 66.406 (67.044) Epoch: [13][3970/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 3.0147 (2.6979) Prec@1 33.594 (41.875) Prec@5 61.719 (67.041) Epoch: [13][3980/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.8224 (2.6980) Prec@1 41.406 (41.877) Prec@5 62.500 (67.039) Epoch: [13][3990/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.6926 (2.6983) Prec@1 41.406 (41.872) Prec@5 65.625 (67.036) Epoch: [13][4000/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.8881 (2.6985) Prec@1 35.156 (41.866) Prec@5 68.750 (67.035) Epoch: [13][4010/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.8222 (2.6983) Prec@1 43.750 (41.869) Prec@5 65.625 (67.041) Epoch: [13][4020/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.8005 (2.6986) Prec@1 36.719 (41.864) Prec@5 67.188 (67.038) Epoch: [13][4030/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.6841 (2.6986) Prec@1 35.938 (41.863) Prec@5 65.625 (67.036) /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: [13][4040/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.4336 (2.6986) Prec@1 45.312 (41.859) Prec@5 75.000 (67.036) Epoch: [13][4050/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.8176 (2.6985) Prec@1 35.156 (41.861) Prec@5 64.062 (67.036) Epoch: [13][4060/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.6530 (2.6984) Prec@1 42.969 (41.862) Prec@5 67.969 (67.036) Epoch: [13][4070/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.7092 (2.6986) Prec@1 42.969 (41.857) Prec@5 70.312 (67.035) Epoch: [13][4080/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 2.8648 (2.6987) Prec@1 36.719 (41.855) Prec@5 60.938 (67.033) Epoch: [13][4090/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.4289 (2.6986) Prec@1 43.750 (41.857) Prec@5 67.188 (67.034) Epoch: [13][4100/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.6445 (2.6988) Prec@1 46.094 (41.857) Prec@5 71.094 (67.034) Epoch: [13][4110/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.5253 (2.6989) Prec@1 48.438 (41.856) Prec@5 71.875 (67.030) Epoch: [13][4120/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.5961 (2.6987) Prec@1 39.062 (41.860) Prec@5 73.438 (67.037) Epoch: [13][4130/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 3.2360 (2.6986) Prec@1 32.031 (41.860) Prec@5 54.688 (67.039) Epoch: [13][4140/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.5452 (2.6985) Prec@1 44.531 (41.858) Prec@5 66.406 (67.039) Epoch: [13][4150/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.6296 (2.6983) Prec@1 39.844 (41.858) Prec@5 67.969 (67.046) Epoch: [13][4160/10010] Time 0.323 (0.333) Data 0.003 (0.001) Loss 2.7507 (2.6983) Prec@1 42.969 (41.855) Prec@5 66.406 (67.046) Epoch: [13][4170/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.6936 (2.6983) Prec@1 42.188 (41.853) Prec@5 65.625 (67.045) Epoch: [13][4180/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.6740 (2.6984) Prec@1 39.844 (41.850) Prec@5 65.625 (67.044) Epoch: [13][4190/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.6179 (2.6982) Prec@1 45.312 (41.850) Prec@5 72.656 (67.049) Epoch: [13][4200/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.7876 (2.6984) Prec@1 42.188 (41.849) Prec@5 66.406 (67.046) Epoch: [13][4210/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.6294 (2.6983) Prec@1 42.969 (41.851) Prec@5 69.531 (67.049) Epoch: [13][4220/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.6736 (2.6987) Prec@1 42.969 (41.846) Prec@5 67.188 (67.045) Epoch: [13][4230/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.7050 (2.6987) Prec@1 39.844 (41.849) Prec@5 70.312 (67.046) Epoch: [13][4240/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.6531 (2.6990) Prec@1 44.531 (41.844) Prec@5 68.750 (67.040) Epoch: [13][4250/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.7746 (2.6992) Prec@1 40.625 (41.840) Prec@5 62.500 (67.038) Epoch: [13][4260/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.9423 (2.6992) Prec@1 42.969 (41.839) Prec@5 67.188 (67.039) Epoch: [13][4270/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 3.0473 (2.6991) Prec@1 32.812 (41.839) Prec@5 60.938 (67.040) Epoch: [13][4280/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6295 (2.6993) Prec@1 46.875 (41.838) Prec@5 64.062 (67.038) Epoch: [13][4290/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 3.0903 (2.6992) Prec@1 35.156 (41.840) Prec@5 60.938 (67.039) /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: [13][4300/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.2666 (2.6995) Prec@1 51.562 (41.838) Prec@5 75.781 (67.037) Epoch: [13][4310/10010] Time 0.317 (0.333) Data 0.000 (0.001) Loss 2.4029 (2.6993) Prec@1 46.094 (41.844) Prec@5 73.438 (67.041) /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: [13][4320/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 2.7152 (2.6992) Prec@1 46.875 (41.848) Prec@5 67.969 (67.043) Epoch: [13][4330/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.6599 (2.6992) Prec@1 42.188 (41.846) Prec@5 66.406 (67.044) Epoch: [13][4340/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.6636 (2.6990) Prec@1 48.438 (41.851) Prec@5 63.281 (67.045) Epoch: [13][4350/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.7736 (2.6993) Prec@1 36.719 (41.846) Prec@5 64.844 (67.039) Epoch: [13][4360/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.9528 (2.6994) Prec@1 35.938 (41.843) Prec@5 64.062 (67.038) Epoch: [13][4370/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 3.1335 (2.6995) Prec@1 37.500 (41.842) Prec@5 57.812 (67.036) Epoch: [13][4380/10010] Time 0.300 (0.333) Data 0.001 (0.001) Loss 2.8525 (2.6995) Prec@1 37.500 (41.838) Prec@5 65.625 (67.036) Epoch: [13][4390/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.6351 (2.6995) Prec@1 34.375 (41.834) Prec@5 73.438 (67.036) Epoch: [13][4400/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.5141 (2.6995) Prec@1 42.969 (41.835) Prec@5 70.312 (67.036) Epoch: [13][4410/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.7808 (2.6995) Prec@1 42.969 (41.834) Prec@5 64.062 (67.037) Epoch: [13][4420/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.9322 (2.6996) Prec@1 36.719 (41.834) Prec@5 61.719 (67.036) Epoch: [13][4430/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.9976 (2.6999) Prec@1 39.062 (41.829) Prec@5 64.062 (67.031) Epoch: [13][4440/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.7300 (2.6999) Prec@1 44.531 (41.828) Prec@5 67.969 (67.032) Epoch: [13][4450/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.6255 (2.6999) Prec@1 45.312 (41.831) Prec@5 70.312 (67.033) Epoch: [13][4460/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.5629 (2.6997) Prec@1 43.750 (41.835) Prec@5 69.531 (67.039) Epoch: [13][4470/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.6044 (2.6996) Prec@1 39.062 (41.835) Prec@5 71.875 (67.044) Epoch: [13][4480/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.7344 (2.6997) Prec@1 40.625 (41.831) Prec@5 67.969 (67.042) Epoch: [13][4490/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.7698 (2.6997) Prec@1 42.188 (41.832) Prec@5 67.188 (67.045) Epoch: [13][4500/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.6552 (2.6996) Prec@1 45.312 (41.834) Prec@5 69.531 (67.045) Epoch: [13][4510/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.4625 (2.6996) Prec@1 39.844 (41.834) Prec@5 66.406 (67.045) Epoch: [13][4520/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.3781 (2.6994) Prec@1 52.344 (41.839) Prec@5 71.094 (67.050) Epoch: [13][4530/10010] Time 0.310 (0.333) Data 0.001 (0.001) Loss 3.0106 (2.6996) Prec@1 37.500 (41.833) Prec@5 64.062 (67.048) Epoch: [13][4540/10010] Time 0.349 (0.333) Data 0.000 (0.001) Loss 2.8720 (2.6997) Prec@1 36.719 (41.830) Prec@5 65.625 (67.048) Epoch: [13][4550/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.2871 (2.6996) Prec@1 56.250 (41.832) Prec@5 75.781 (67.050) Epoch: [13][4560/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.6567 (2.6997) Prec@1 43.750 (41.833) Prec@5 65.625 (67.046) Epoch: [13][4570/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.4528 (2.6997) Prec@1 47.656 (41.833) Prec@5 71.094 (67.048) Epoch: [13][4580/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.8428 (2.6996) Prec@1 46.094 (41.830) Prec@5 64.844 (67.046) Epoch: [13][4590/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.6458 (2.6995) Prec@1 38.281 (41.829) Prec@5 68.750 (67.046) Epoch: [13][4600/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.5593 (2.6995) Prec@1 46.094 (41.832) Prec@5 72.656 (67.050) Epoch: [13][4610/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.5062 (2.6995) Prec@1 45.312 (41.835) Prec@5 68.750 (67.051) Epoch: [13][4620/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.5422 (2.6996) Prec@1 45.312 (41.833) Prec@5 65.625 (67.049) Epoch: [13][4630/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.7700 (2.6994) Prec@1 42.969 (41.838) Prec@5 65.625 (67.052) Epoch: [13][4640/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7073 (2.6997) Prec@1 46.094 (41.832) Prec@5 64.844 (67.046) Epoch: [13][4650/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.7353 (2.6995) Prec@1 39.844 (41.831) Prec@5 67.188 (67.048) Epoch: [13][4660/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 3.0371 (2.6995) Prec@1 36.719 (41.834) Prec@5 64.062 (67.048) Epoch: [13][4670/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.5762 (2.6994) Prec@1 47.656 (41.837) Prec@5 73.438 (67.049) Epoch: [13][4680/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.9072 (2.6994) Prec@1 37.500 (41.838) Prec@5 61.719 (67.049) Epoch: [13][4690/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.8447 (2.6992) Prec@1 41.406 (41.841) Prec@5 62.500 (67.052) Epoch: [13][4700/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.8295 (2.6994) Prec@1 42.969 (41.840) Prec@5 66.406 (67.051) Epoch: [13][4710/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 2.6941 (2.6994) Prec@1 40.625 (41.838) Prec@5 72.656 (67.054) Epoch: [13][4720/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.9269 (2.6991) Prec@1 38.281 (41.841) Prec@5 66.406 (67.060) Epoch: [13][4730/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.8604 (2.6992) Prec@1 40.625 (41.838) Prec@5 66.406 (67.060) Epoch: [13][4740/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.5459 (2.6994) Prec@1 46.094 (41.841) Prec@5 68.750 (67.058) Epoch: [13][4750/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.6161 (2.6998) Prec@1 42.188 (41.837) Prec@5 67.969 (67.055) Epoch: [13][4760/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.5576 (2.7001) Prec@1 49.219 (41.837) Prec@5 70.312 (67.049) Epoch: [13][4770/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.5069 (2.7000) Prec@1 44.531 (41.834) Prec@5 71.094 (67.048) Epoch: [13][4780/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.5432 (2.7000) Prec@1 48.438 (41.832) Prec@5 71.094 (67.049) Epoch: [13][4790/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.5466 (2.7000) Prec@1 41.406 (41.833) Prec@5 66.406 (67.046) Epoch: [13][4800/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.1480 (2.7002) Prec@1 50.000 (41.829) Prec@5 75.000 (67.042) Epoch: [13][4810/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.5752 (2.7001) Prec@1 46.875 (41.829) Prec@5 65.625 (67.040) Epoch: [13][4820/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 3.0185 (2.7000) Prec@1 37.500 (41.829) Prec@5 60.938 (67.041) Epoch: [13][4830/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.6760 (2.7002) Prec@1 39.844 (41.827) Prec@5 70.312 (67.036) Epoch: [13][4840/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.5007 (2.7004) Prec@1 46.094 (41.824) Prec@5 68.750 (67.035) Epoch: [13][4850/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.9503 (2.7005) Prec@1 42.188 (41.824) Prec@5 65.625 (67.033) Epoch: [13][4860/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.5014 (2.7007) Prec@1 43.750 (41.822) Prec@5 69.531 (67.033) Epoch: [13][4870/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.5227 (2.7005) Prec@1 47.656 (41.823) Prec@5 69.531 (67.036) Epoch: [13][4880/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.6861 (2.7008) Prec@1 35.938 (41.815) Prec@5 70.312 (67.034) Epoch: [13][4890/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.6586 (2.7008) Prec@1 45.312 (41.814) Prec@5 71.094 (67.034) Epoch: [13][4900/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 2.4743 (2.7010) Prec@1 44.531 (41.812) Prec@5 67.188 (67.031) Epoch: [13][4910/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.5496 (2.7009) Prec@1 42.188 (41.809) Prec@5 69.531 (67.034) Epoch: [13][4920/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.6307 (2.7009) Prec@1 44.531 (41.810) Prec@5 60.938 (67.034) Epoch: [13][4930/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.7280 (2.7010) Prec@1 43.750 (41.810) Prec@5 66.406 (67.029) Epoch: [13][4940/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.5378 (2.7010) Prec@1 42.188 (41.809) Prec@5 67.188 (67.029) Epoch: [13][4950/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 3.0323 (2.7010) Prec@1 40.625 (41.808) Prec@5 64.844 (67.030) Epoch: [13][4960/10010] Time 0.351 (0.333) Data 0.000 (0.001) Loss 2.4533 (2.7009) Prec@1 49.219 (41.806) Prec@5 71.875 (67.031) Epoch: [13][4970/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.6867 (2.7011) Prec@1 40.625 (41.806) Prec@5 67.188 (67.027) Epoch: [13][4980/10010] Time 0.347 (0.333) Data 0.000 (0.001) Loss 2.7600 (2.7015) Prec@1 36.719 (41.803) Prec@5 66.406 (67.024) Epoch: [13][4990/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6815 (2.7015) Prec@1 38.281 (41.802) Prec@5 67.188 (67.023) Epoch: [13][5000/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.7301 (2.7014) Prec@1 43.750 (41.806) Prec@5 69.531 (67.024) Epoch: [13][5010/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 3.1177 (2.7016) Prec@1 40.625 (41.804) Prec@5 60.156 (67.020) Epoch: [13][5020/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.5405 (2.7017) Prec@1 37.500 (41.798) Prec@5 71.094 (67.017) Epoch: [13][5030/10010] Time 0.315 (0.333) Data 0.001 (0.001) Loss 2.8258 (2.7015) Prec@1 39.844 (41.804) Prec@5 60.156 (67.019) Epoch: [13][5040/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 3.1638 (2.7017) Prec@1 29.688 (41.799) Prec@5 61.719 (67.017) Epoch: [13][5050/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7479 (2.7017) Prec@1 39.062 (41.798) Prec@5 64.844 (67.016) Epoch: [13][5060/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.6231 (2.7018) Prec@1 43.750 (41.798) Prec@5 69.531 (67.012) Epoch: [13][5070/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.7163 (2.7017) Prec@1 41.406 (41.800) Prec@5 65.625 (67.013) Epoch: [13][5080/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.8745 (2.7016) Prec@1 35.156 (41.800) Prec@5 60.156 (67.013) Epoch: [13][5090/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.5877 (2.7016) Prec@1 45.312 (41.798) Prec@5 67.188 (67.012) Epoch: [13][5100/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.5380 (2.7018) Prec@1 41.406 (41.793) Prec@5 67.188 (67.009) Epoch: [13][5110/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 3.0359 (2.7018) Prec@1 39.062 (41.791) Prec@5 62.500 (67.010) Epoch: [13][5120/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.8562 (2.7020) Prec@1 32.812 (41.787) Prec@5 64.062 (67.007) Epoch: [13][5130/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 3.3454 (2.7020) Prec@1 35.156 (41.788) Prec@5 57.812 (67.008) Epoch: [13][5140/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.3965 (2.7020) Prec@1 48.438 (41.789) Prec@5 71.094 (67.004) Epoch: [13][5150/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.7515 (2.7019) Prec@1 43.750 (41.792) Prec@5 63.281 (67.005) Epoch: [13][5160/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.5235 (2.7018) Prec@1 46.094 (41.793) Prec@5 71.875 (67.004) Epoch: [13][5170/10010] Time 0.316 (0.333) Data 0.000 (0.001) Loss 2.7589 (2.7020) Prec@1 42.188 (41.789) Prec@5 65.625 (67.003) Epoch: [13][5180/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.8307 (2.7021) Prec@1 39.844 (41.788) Prec@5 68.750 (67.004) Epoch: [13][5190/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.9883 (2.7020) Prec@1 39.062 (41.788) Prec@5 64.062 (67.005) Epoch: [13][5200/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.7973 (2.7019) Prec@1 38.281 (41.792) Prec@5 64.062 (67.007) Epoch: [13][5210/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.4479 (2.7021) Prec@1 42.969 (41.790) Prec@5 72.656 (67.007) Epoch: [13][5220/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 3.0246 (2.7020) Prec@1 36.719 (41.788) Prec@5 59.375 (67.007) Epoch: [13][5230/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.6978 (2.7019) Prec@1 38.281 (41.790) Prec@5 66.406 (67.007) Epoch: [13][5240/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.9781 (2.7019) Prec@1 39.062 (41.790) Prec@5 64.844 (67.008) Epoch: [13][5250/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.4901 (2.7019) Prec@1 39.062 (41.788) Prec@5 74.219 (67.010) Epoch: [13][5260/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 3.2631 (2.7021) Prec@1 34.375 (41.787) Prec@5 57.031 (67.007) Epoch: [13][5270/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.6799 (2.7020) Prec@1 41.406 (41.787) Prec@5 71.094 (67.011) Epoch: [13][5280/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.7286 (2.7022) Prec@1 41.406 (41.788) Prec@5 66.406 (67.008) Epoch: [13][5290/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.9684 (2.7022) Prec@1 33.594 (41.785) Prec@5 61.719 (67.008) Epoch: [13][5300/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.2303 (2.7022) Prec@1 46.875 (41.786) Prec@5 75.000 (67.007) Epoch: [13][5310/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.8150 (2.7023) Prec@1 41.406 (41.783) Prec@5 63.281 (67.002) Epoch: [13][5320/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.3347 (2.7022) Prec@1 53.125 (41.785) Prec@5 71.094 (67.004) Epoch: [13][5330/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.6803 (2.7022) Prec@1 39.844 (41.783) Prec@5 61.719 (67.003) Epoch: [13][5340/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.6886 (2.7020) Prec@1 42.188 (41.788) Prec@5 64.844 (67.005) Epoch: [13][5350/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.2386 (2.7018) Prec@1 48.438 (41.793) Prec@5 76.562 (67.009) Epoch: [13][5360/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.5257 (2.7018) Prec@1 43.750 (41.794) Prec@5 69.531 (67.008) Epoch: [13][5370/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.7395 (2.7022) Prec@1 46.094 (41.787) Prec@5 66.406 (67.003) Epoch: [13][5380/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.4545 (2.7022) Prec@1 47.656 (41.789) Prec@5 69.531 (67.001) Epoch: [13][5390/10010] Time 0.315 (0.333) Data 0.001 (0.001) Loss 2.5390 (2.7019) Prec@1 45.312 (41.793) Prec@5 64.062 (67.006) Epoch: [13][5400/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.8445 (2.7020) Prec@1 36.719 (41.795) Prec@5 63.281 (67.005) Epoch: [13][5410/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.9408 (2.7020) Prec@1 36.719 (41.795) Prec@5 62.500 (67.003) Epoch: [13][5420/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.7695 (2.7020) Prec@1 36.719 (41.794) Prec@5 64.062 (67.002) Epoch: [13][5430/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.6414 (2.7019) Prec@1 43.750 (41.795) Prec@5 70.312 (67.006) Epoch: [13][5440/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.8026 (2.7020) Prec@1 34.375 (41.793) Prec@5 66.406 (67.006) Epoch: [13][5450/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.6831 (2.7020) Prec@1 42.188 (41.793) Prec@5 66.406 (67.006) Epoch: [13][5460/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.5415 (2.7020) Prec@1 42.969 (41.793) Prec@5 66.406 (67.007) Epoch: [13][5470/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.5835 (2.7018) Prec@1 46.094 (41.798) Prec@5 67.969 (67.011) Epoch: [13][5480/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.3317 (2.7017) Prec@1 47.656 (41.801) Prec@5 70.312 (67.014) Epoch: [13][5490/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.6161 (2.7015) Prec@1 40.625 (41.805) Prec@5 71.094 (67.015) Epoch: [13][5500/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.3075 (2.7011) Prec@1 56.250 (41.812) Prec@5 75.000 (67.024) Epoch: [13][5510/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.4081 (2.7010) Prec@1 46.094 (41.811) Prec@5 74.219 (67.026) Epoch: [13][5520/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.5765 (2.7008) Prec@1 46.094 (41.813) Prec@5 66.406 (67.030) Epoch: [13][5530/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.5782 (2.7008) Prec@1 42.969 (41.811) Prec@5 69.531 (67.030) Epoch: [13][5540/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.8640 (2.7009) Prec@1 37.500 (41.810) Prec@5 66.406 (67.030) Epoch: [13][5550/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.5616 (2.7008) Prec@1 47.656 (41.815) Prec@5 70.312 (67.030) Epoch: [13][5560/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.4733 (2.7005) Prec@1 42.188 (41.818) Prec@5 72.656 (67.034) Epoch: [13][5570/10010] Time 0.318 (0.333) Data 0.000 (0.001) Loss 2.6412 (2.7005) Prec@1 39.844 (41.819) Prec@5 67.188 (67.035) Epoch: [13][5580/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.7047 (2.7006) Prec@1 39.844 (41.816) Prec@5 65.625 (67.032) Epoch: [13][5590/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.8101 (2.7004) Prec@1 39.844 (41.819) Prec@5 64.062 (67.034) Epoch: [13][5600/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 3.3563 (2.7005) Prec@1 31.250 (41.819) Prec@5 56.250 (67.033) Epoch: [13][5610/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.6611 (2.7004) Prec@1 42.969 (41.821) Prec@5 67.188 (67.032) Epoch: [13][5620/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.4702 (2.7004) Prec@1 45.312 (41.820) Prec@5 71.094 (67.035) Epoch: [13][5630/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.6400 (2.7004) Prec@1 42.969 (41.819) Prec@5 62.500 (67.031) Epoch: [13][5640/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.4419 (2.7003) Prec@1 43.750 (41.819) Prec@5 73.438 (67.032) Epoch: [13][5650/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.7049 (2.7002) Prec@1 40.625 (41.819) Prec@5 63.281 (67.032) Epoch: [13][5660/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.5404 (2.7001) Prec@1 47.656 (41.825) Prec@5 68.750 (67.032) Epoch: [13][5670/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.7533 (2.7001) Prec@1 40.625 (41.827) Prec@5 65.625 (67.034) Epoch: [13][5680/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 3.0735 (2.7001) Prec@1 36.719 (41.828) Prec@5 59.375 (67.034) Epoch: [13][5690/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.6202 (2.7002) Prec@1 44.531 (41.825) Prec@5 67.969 (67.032) Epoch: [13][5700/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.9724 (2.7002) Prec@1 34.375 (41.823) Prec@5 58.594 (67.028) Epoch: [13][5710/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.9557 (2.7004) Prec@1 37.500 (41.817) Prec@5 59.375 (67.025) Epoch: [13][5720/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 2.4598 (2.7006) Prec@1 41.406 (41.814) Prec@5 68.750 (67.022) Epoch: [13][5730/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.8938 (2.7005) Prec@1 38.281 (41.816) Prec@5 61.719 (67.021) Epoch: [13][5740/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.5433 (2.7005) Prec@1 48.438 (41.818) Prec@5 68.750 (67.022) Epoch: [13][5750/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.8682 (2.7006) Prec@1 39.062 (41.818) Prec@5 63.281 (67.021) Epoch: [13][5760/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.8085 (2.7005) Prec@1 39.844 (41.817) Prec@5 67.969 (67.023) Epoch: [13][5770/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.4465 (2.7006) Prec@1 43.750 (41.815) Prec@5 70.312 (67.023) Epoch: [13][5780/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.3641 (2.7004) Prec@1 41.406 (41.814) Prec@5 73.438 (67.025) Epoch: [13][5790/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.4880 (2.7006) Prec@1 44.531 (41.812) Prec@5 69.531 (67.022) Epoch: [13][5800/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.7358 (2.7006) Prec@1 48.438 (41.811) Prec@5 65.625 (67.023) Epoch: [13][5810/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.4022 (2.7007) Prec@1 46.094 (41.811) Prec@5 72.656 (67.020) Epoch: [13][5820/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 3.0302 (2.7008) Prec@1 40.625 (41.811) Prec@5 64.062 (67.020) Epoch: [13][5830/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.5122 (2.7007) Prec@1 45.312 (41.813) Prec@5 73.438 (67.019) Epoch: [13][5840/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 3.0865 (2.7009) Prec@1 36.719 (41.809) Prec@5 61.719 (67.015) Epoch: [13][5850/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.5088 (2.7010) Prec@1 47.656 (41.812) Prec@5 64.844 (67.015) Epoch: [13][5860/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.5264 (2.7009) Prec@1 47.656 (41.816) Prec@5 66.406 (67.015) Epoch: [13][5870/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.9790 (2.7010) Prec@1 36.719 (41.815) Prec@5 62.500 (67.013) Epoch: [13][5880/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.9929 (2.7011) Prec@1 42.188 (41.816) Prec@5 64.062 (67.011) Epoch: [13][5890/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.8847 (2.7012) Prec@1 36.719 (41.814) Prec@5 67.969 (67.011) Epoch: [13][5900/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.3485 (2.7010) Prec@1 47.656 (41.819) Prec@5 72.656 (67.014) Epoch: [13][5910/10010] Time 0.345 (0.333) Data 0.000 (0.001) Loss 2.6522 (2.7011) Prec@1 44.531 (41.819) Prec@5 67.969 (67.013) Epoch: [13][5920/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.7854 (2.7012) Prec@1 45.312 (41.817) Prec@5 61.719 (67.011) Epoch: [13][5930/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.9510 (2.7011) Prec@1 40.625 (41.821) Prec@5 60.938 (67.013) Epoch: [13][5940/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.5632 (2.7011) Prec@1 46.875 (41.818) Prec@5 69.531 (67.013) Epoch: [13][5950/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.8130 (2.7011) Prec@1 39.844 (41.816) Prec@5 64.844 (67.013) Epoch: [13][5960/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.8229 (2.7010) Prec@1 41.406 (41.818) Prec@5 68.750 (67.014) Epoch: [13][5970/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.8193 (2.7010) Prec@1 37.500 (41.816) Prec@5 64.844 (67.014) Epoch: [13][5980/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 2.6254 (2.7010) Prec@1 42.969 (41.816) Prec@5 67.188 (67.016) Epoch: [13][5990/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.1593 (2.7008) Prec@1 46.875 (41.817) Prec@5 76.562 (67.017) Epoch: [13][6000/10010] Time 0.316 (0.333) Data 0.001 (0.001) Loss 2.6513 (2.7006) Prec@1 42.188 (41.819) Prec@5 67.188 (67.020) Epoch: [13][6010/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.7074 (2.7006) Prec@1 42.969 (41.819) Prec@5 65.625 (67.018) Epoch: [13][6020/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.7481 (2.7007) Prec@1 38.281 (41.818) Prec@5 67.969 (67.017) Epoch: [13][6030/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.9087 (2.7007) Prec@1 33.594 (41.814) Prec@5 62.500 (67.016) Epoch: [13][6040/10010] Time 0.312 (0.333) Data 0.001 (0.001) Loss 2.7755 (2.7007) Prec@1 40.625 (41.813) Prec@5 66.406 (67.017) Epoch: [13][6050/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.6330 (2.7008) Prec@1 42.969 (41.811) Prec@5 70.312 (67.013) Epoch: [13][6060/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.9473 (2.7009) Prec@1 40.625 (41.810) Prec@5 64.062 (67.012) Epoch: [13][6070/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.6338 (2.7008) Prec@1 43.750 (41.810) Prec@5 67.188 (67.013) Epoch: [13][6080/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.5219 (2.7008) Prec@1 41.406 (41.807) Prec@5 71.094 (67.014) Epoch: [13][6090/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.7983 (2.7008) Prec@1 36.719 (41.805) Prec@5 69.531 (67.017) Epoch: [13][6100/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6431 (2.7008) Prec@1 37.500 (41.806) Prec@5 69.531 (67.019) Epoch: [13][6110/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.6969 (2.7007) Prec@1 43.750 (41.808) Prec@5 66.406 (67.018) Epoch: [13][6120/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.9853 (2.7006) Prec@1 38.281 (41.809) Prec@5 66.406 (67.022) Epoch: [13][6130/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 3.0334 (2.7006) Prec@1 42.188 (41.811) Prec@5 61.719 (67.021) Epoch: [13][6140/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 2.6388 (2.7007) Prec@1 42.188 (41.810) Prec@5 67.188 (67.021) Epoch: [13][6150/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 2.5655 (2.7006) Prec@1 49.219 (41.809) Prec@5 71.094 (67.021) Epoch: [13][6160/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7632 (2.7006) Prec@1 36.719 (41.808) Prec@5 67.188 (67.022) Epoch: [13][6170/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.5281 (2.7006) Prec@1 46.875 (41.810) Prec@5 71.875 (67.021) Epoch: [13][6180/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 3.0653 (2.7006) Prec@1 37.500 (41.810) Prec@5 60.938 (67.019) Epoch: [13][6190/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.5741 (2.7007) Prec@1 46.875 (41.808) Prec@5 68.750 (67.015) Epoch: [13][6200/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.6338 (2.7007) Prec@1 47.656 (41.808) Prec@5 67.188 (67.015) Epoch: [13][6210/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.5503 (2.7008) Prec@1 39.062 (41.806) Prec@5 72.656 (67.015) Epoch: [13][6220/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.8882 (2.7009) Prec@1 39.844 (41.804) Prec@5 60.156 (67.011) Epoch: [13][6230/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.7231 (2.7010) Prec@1 44.531 (41.803) Prec@5 64.062 (67.012) Epoch: [13][6240/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.5165 (2.7009) Prec@1 44.531 (41.806) Prec@5 66.406 (67.015) Epoch: [13][6250/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.6172 (2.7008) Prec@1 46.094 (41.807) Prec@5 71.094 (67.015) Epoch: [13][6260/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.9221 (2.7010) Prec@1 43.750 (41.806) Prec@5 61.719 (67.012) Epoch: [13][6270/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.7332 (2.7010) Prec@1 41.406 (41.804) Prec@5 70.312 (67.011) Epoch: [13][6280/10010] Time 0.349 (0.333) Data 0.000 (0.001) Loss 3.2308 (2.7012) Prec@1 35.938 (41.800) Prec@5 53.906 (67.010) Epoch: [13][6290/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.5589 (2.7012) Prec@1 46.875 (41.801) Prec@5 69.531 (67.006) Epoch: [13][6300/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.7441 (2.7014) Prec@1 40.625 (41.798) Prec@5 65.625 (67.003) Epoch: [13][6310/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.8843 (2.7011) Prec@1 41.406 (41.799) Prec@5 60.938 (67.005) Epoch: [13][6320/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.4982 (2.7011) Prec@1 46.094 (41.798) Prec@5 68.750 (67.005) Epoch: [13][6330/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.9721 (2.7012) Prec@1 36.719 (41.796) Prec@5 60.156 (67.003) Epoch: [13][6340/10010] Time 0.347 (0.333) Data 0.000 (0.001) Loss 2.6072 (2.7012) Prec@1 45.312 (41.796) Prec@5 67.188 (67.006) Epoch: [13][6350/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.6760 (2.7013) Prec@1 42.969 (41.791) Prec@5 71.875 (67.004) Epoch: [13][6360/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.8643 (2.7014) Prec@1 34.375 (41.786) Prec@5 67.188 (67.002) Epoch: [13][6370/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.5108 (2.7014) Prec@1 40.625 (41.783) Prec@5 69.531 (67.003) Epoch: [13][6380/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.6061 (2.7014) Prec@1 42.188 (41.781) Prec@5 64.844 (66.999) Epoch: [13][6390/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.5466 (2.7014) Prec@1 45.312 (41.780) Prec@5 66.406 (66.997) Epoch: [13][6400/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.3503 (2.7016) Prec@1 50.000 (41.777) Prec@5 72.656 (66.996) Epoch: [13][6410/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.4651 (2.7016) Prec@1 49.219 (41.779) Prec@5 67.188 (66.997) Epoch: [13][6420/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.9006 (2.7016) Prec@1 44.531 (41.779) Prec@5 65.625 (66.996) Epoch: [13][6430/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.5256 (2.7015) Prec@1 46.875 (41.784) Prec@5 71.094 (66.996) Epoch: [13][6440/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.5291 (2.7014) Prec@1 40.625 (41.787) Prec@5 69.531 (66.996) Epoch: [13][6450/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.8629 (2.7013) Prec@1 37.500 (41.790) Prec@5 62.500 (66.998) Epoch: [13][6460/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.7985 (2.7011) Prec@1 41.406 (41.793) Prec@5 66.406 (67.002) Epoch: [13][6470/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.3626 (2.7012) Prec@1 46.875 (41.796) Prec@5 75.000 (67.001) Epoch: [13][6480/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 3.2284 (2.7013) Prec@1 32.812 (41.793) Prec@5 55.469 (66.998) Epoch: [13][6490/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.8721 (2.7015) Prec@1 39.844 (41.790) Prec@5 60.938 (66.996) Epoch: [13][6500/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.6786 (2.7016) Prec@1 41.406 (41.791) Prec@5 64.844 (66.994) Epoch: [13][6510/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 2.5778 (2.7016) Prec@1 39.062 (41.789) Prec@5 65.625 (66.992) Epoch: [13][6520/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.7421 (2.7017) Prec@1 39.844 (41.787) Prec@5 65.625 (66.991) Epoch: [13][6530/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.6461 (2.7017) Prec@1 44.531 (41.787) Prec@5 66.406 (66.990) Epoch: [13][6540/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.9759 (2.7017) Prec@1 42.188 (41.787) Prec@5 62.500 (66.991) Epoch: [13][6550/10010] Time 0.346 (0.333) Data 0.001 (0.001) Loss 2.6643 (2.7017) Prec@1 39.062 (41.785) Prec@5 67.969 (66.992) Epoch: [13][6560/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.5601 (2.7016) Prec@1 46.875 (41.787) Prec@5 74.219 (66.993) Epoch: [13][6570/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.5064 (2.7017) Prec@1 40.625 (41.785) Prec@5 77.344 (66.993) Epoch: [13][6580/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.5889 (2.7016) Prec@1 44.531 (41.788) Prec@5 71.094 (66.995) Epoch: [13][6590/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.9153 (2.7015) Prec@1 40.625 (41.789) Prec@5 65.625 (66.996) Epoch: [13][6600/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.8086 (2.7016) Prec@1 35.156 (41.786) Prec@5 64.062 (66.994) Epoch: [13][6610/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7913 (2.7017) Prec@1 41.406 (41.787) Prec@5 62.500 (66.996) Epoch: [13][6620/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.8398 (2.7016) Prec@1 39.062 (41.786) Prec@5 63.281 (66.997) Epoch: [13][6630/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.7032 (2.7015) Prec@1 42.188 (41.788) Prec@5 67.188 (66.998) Epoch: [13][6640/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.4006 (2.7016) Prec@1 42.969 (41.787) Prec@5 75.000 (66.995) Epoch: [13][6650/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.5235 (2.7016) Prec@1 44.531 (41.784) Prec@5 72.656 (66.995) Epoch: [13][6660/10010] Time 0.344 (0.333) Data 0.000 (0.001) Loss 2.7887 (2.7018) Prec@1 42.188 (41.780) Prec@5 64.844 (66.992) Epoch: [13][6670/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.8003 (2.7017) Prec@1 41.406 (41.781) Prec@5 65.625 (66.994) Epoch: [13][6680/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.9264 (2.7017) Prec@1 35.156 (41.782) Prec@5 64.844 (66.994) Epoch: [13][6690/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.4789 (2.7017) Prec@1 46.875 (41.781) Prec@5 73.438 (66.994) Epoch: [13][6700/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.4870 (2.7017) Prec@1 44.531 (41.779) Prec@5 73.438 (66.993) Epoch: [13][6710/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.4749 (2.7017) Prec@1 47.656 (41.781) Prec@5 67.188 (66.989) Epoch: [13][6720/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 3.0097 (2.7018) Prec@1 34.375 (41.777) Prec@5 69.531 (66.988) Epoch: [13][6730/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7811 (2.7017) Prec@1 33.594 (41.777) Prec@5 63.281 (66.989) Epoch: [13][6740/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 2.5513 (2.7017) Prec@1 38.281 (41.776) Prec@5 67.969 (66.990) Epoch: [13][6750/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.5854 (2.7019) Prec@1 42.969 (41.772) Prec@5 71.094 (66.986) Epoch: [13][6760/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.6546 (2.7019) Prec@1 42.188 (41.770) Prec@5 64.844 (66.985) Epoch: [13][6770/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.8208 (2.7019) Prec@1 38.281 (41.773) Prec@5 65.625 (66.987) Epoch: [13][6780/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.7629 (2.7020) Prec@1 36.719 (41.771) Prec@5 64.062 (66.984) Epoch: [13][6790/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.6918 (2.7021) Prec@1 43.750 (41.770) Prec@5 66.406 (66.983) Epoch: [13][6800/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.6521 (2.7020) Prec@1 47.656 (41.773) Prec@5 66.406 (66.983) Epoch: [13][6810/10010] Time 0.341 (0.333) Data 0.000 (0.001) Loss 2.5658 (2.7021) Prec@1 42.969 (41.769) Prec@5 67.188 (66.983) Epoch: [13][6820/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.7243 (2.7021) Prec@1 41.406 (41.769) Prec@5 71.094 (66.981) Epoch: [13][6830/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 2.4875 (2.7020) Prec@1 40.625 (41.772) Prec@5 74.219 (66.983) Epoch: [13][6840/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.4927 (2.7021) Prec@1 44.531 (41.769) Prec@5 70.312 (66.980) Epoch: [13][6850/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7163 (2.7021) Prec@1 38.281 (41.769) Prec@5 65.625 (66.981) Epoch: [13][6860/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.6171 (2.7022) Prec@1 40.625 (41.768) Prec@5 68.750 (66.979) Epoch: [13][6870/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6595 (2.7021) Prec@1 41.406 (41.770) Prec@5 67.969 (66.979) Epoch: [13][6880/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.8575 (2.7022) Prec@1 29.688 (41.770) Prec@5 67.969 (66.978) Epoch: [13][6890/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.9046 (2.7023) Prec@1 40.625 (41.769) Prec@5 66.406 (66.976) Epoch: [13][6900/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.6747 (2.7023) Prec@1 42.188 (41.769) Prec@5 67.969 (66.975) Epoch: [13][6910/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.4312 (2.7023) Prec@1 49.219 (41.769) Prec@5 71.875 (66.976) Epoch: [13][6920/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.6617 (2.7024) Prec@1 45.312 (41.768) Prec@5 66.406 (66.974) Epoch: [13][6930/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.9989 (2.7024) Prec@1 36.719 (41.766) Prec@5 57.812 (66.973) Epoch: [13][6940/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.8599 (2.7024) Prec@1 38.281 (41.765) Prec@5 61.719 (66.974) Epoch: [13][6950/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 2.6726 (2.7023) Prec@1 38.281 (41.765) Prec@5 63.281 (66.974) Epoch: [13][6960/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.8673 (2.7023) Prec@1 41.406 (41.766) Prec@5 60.938 (66.973) Epoch: [13][6970/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 2.7876 (2.7024) Prec@1 39.062 (41.763) Prec@5 66.406 (66.973) Epoch: [13][6980/10010] Time 0.317 (0.333) Data 0.000 (0.001) Loss 2.9833 (2.7024) Prec@1 39.062 (41.767) Prec@5 60.938 (66.975) Epoch: [13][6990/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.6124 (2.7023) Prec@1 44.531 (41.766) Prec@5 71.094 (66.977) Epoch: [13][7000/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.5002 (2.7023) Prec@1 45.312 (41.767) Prec@5 67.969 (66.976) Epoch: [13][7010/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.9381 (2.7023) Prec@1 44.531 (41.769) Prec@5 66.406 (66.978) Epoch: [13][7020/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.3266 (2.7023) Prec@1 50.000 (41.769) Prec@5 72.656 (66.976) Epoch: [13][7030/10010] Time 0.323 (0.333) Data 0.000 (0.001) Loss 2.7139 (2.7025) Prec@1 42.188 (41.767) Prec@5 69.531 (66.974) Epoch: [13][7040/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.7456 (2.7025) Prec@1 42.969 (41.769) Prec@5 70.312 (66.975) Epoch: [13][7050/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.3822 (2.7026) Prec@1 46.094 (41.768) Prec@5 68.750 (66.975) Epoch: [13][7060/10010] Time 0.315 (0.333) Data 0.001 (0.001) Loss 2.7222 (2.7026) Prec@1 36.719 (41.766) Prec@5 67.969 (66.977) Epoch: [13][7070/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.3714 (2.7024) Prec@1 49.219 (41.766) Prec@5 75.000 (66.978) Epoch: [13][7080/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.8729 (2.7027) Prec@1 42.969 (41.763) Prec@5 67.188 (66.972) Epoch: [13][7090/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 2.7877 (2.7027) Prec@1 39.062 (41.764) Prec@5 65.625 (66.973) Epoch: [13][7100/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.3192 (2.7026) Prec@1 47.656 (41.765) Prec@5 71.875 (66.974) Epoch: [13][7110/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 2.8030 (2.7026) Prec@1 44.531 (41.765) Prec@5 63.281 (66.973) Epoch: [13][7120/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.5770 (2.7024) Prec@1 42.969 (41.769) Prec@5 69.531 (66.976) Epoch: [13][7130/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7934 (2.7023) Prec@1 39.844 (41.772) Prec@5 64.062 (66.977) Epoch: [13][7140/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.7072 (2.7022) Prec@1 38.281 (41.771) Prec@5 64.844 (66.977) Epoch: [13][7150/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.8423 (2.7023) Prec@1 38.281 (41.770) Prec@5 66.406 (66.975) Epoch: [13][7160/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.7361 (2.7021) Prec@1 38.281 (41.772) Prec@5 67.188 (66.977) Epoch: [13][7170/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.5661 (2.7022) Prec@1 46.875 (41.770) Prec@5 69.531 (66.975) Epoch: [13][7180/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.5499 (2.7022) Prec@1 48.438 (41.770) Prec@5 67.188 (66.975) Epoch: [13][7190/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.6189 (2.7022) Prec@1 40.625 (41.767) Prec@5 67.969 (66.975) Epoch: [13][7200/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.5254 (2.7023) Prec@1 44.531 (41.764) Prec@5 71.875 (66.974) Epoch: [13][7210/10010] Time 0.356 (0.333) Data 0.000 (0.001) Loss 2.9145 (2.7024) Prec@1 42.188 (41.763) Prec@5 63.281 (66.973) Epoch: [13][7220/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.5832 (2.7023) Prec@1 41.406 (41.763) Prec@5 71.094 (66.972) Epoch: [13][7230/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 3.1098 (2.7025) Prec@1 34.375 (41.760) Prec@5 62.500 (66.970) Epoch: [13][7240/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.9135 (2.7027) Prec@1 42.969 (41.760) Prec@5 64.062 (66.968) Epoch: [13][7250/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.8086 (2.7028) Prec@1 38.281 (41.759) Prec@5 67.969 (66.966) Epoch: [13][7260/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 2.5374 (2.7029) Prec@1 46.875 (41.760) Prec@5 71.094 (66.963) Epoch: [13][7270/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 2.7519 (2.7029) Prec@1 40.625 (41.760) Prec@5 67.969 (66.962) Epoch: [13][7280/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.2686 (2.7029) Prec@1 50.000 (41.761) Prec@5 77.344 (66.966) Epoch: [13][7290/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.6104 (2.7029) Prec@1 42.188 (41.761) Prec@5 67.969 (66.966) /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: [13][7300/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.0832 (2.7028) Prec@1 30.469 (41.762) Prec@5 57.031 (66.966) Epoch: [13][7310/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 2.8679 (2.7028) Prec@1 36.719 (41.761) Prec@5 59.375 (66.966) Epoch: [13][7320/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8935 (2.7029) Prec@1 41.406 (41.760) Prec@5 65.625 (66.964) Epoch: [13][7330/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6874 (2.7028) Prec@1 46.094 (41.761) Prec@5 64.844 (66.964) Epoch: [13][7340/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8622 (2.7029) Prec@1 42.969 (41.762) Prec@5 61.719 (66.962) Epoch: [13][7350/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5657 (2.7030) Prec@1 40.625 (41.760) Prec@5 69.531 (66.958) Epoch: [13][7360/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6518 (2.7030) Prec@1 44.531 (41.759) Prec@5 64.844 (66.958) Epoch: [13][7370/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4136 (2.7030) Prec@1 50.000 (41.760) Prec@5 69.531 (66.959) Epoch: [13][7380/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.4091 (2.7028) Prec@1 47.656 (41.763) Prec@5 74.219 (66.961) Epoch: [13][7390/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6293 (2.7028) Prec@1 41.406 (41.764) Prec@5 68.750 (66.959) Epoch: [13][7400/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9713 (2.7028) Prec@1 39.844 (41.766) Prec@5 61.719 (66.961) Epoch: [13][7410/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.8270 (2.7030) Prec@1 34.375 (41.763) Prec@5 67.188 (66.959) Epoch: [13][7420/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.6261 (2.7029) Prec@1 42.188 (41.764) Prec@5 69.531 (66.961) Epoch: [13][7430/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.5953 (2.7026) Prec@1 33.594 (41.769) Prec@5 65.625 (66.966) Epoch: [13][7440/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6617 (2.7028) Prec@1 42.188 (41.768) Prec@5 66.406 (66.963) Epoch: [13][7450/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5040 (2.7029) Prec@1 49.219 (41.767) Prec@5 71.094 (66.962) Epoch: [13][7460/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7116 (2.7029) Prec@1 42.969 (41.769) Prec@5 70.312 (66.962) Epoch: [13][7470/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.0701 (2.7030) Prec@1 40.625 (41.765) Prec@5 57.812 (66.959) Epoch: [13][7480/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6439 (2.7029) Prec@1 39.844 (41.765) Prec@5 70.312 (66.961) Epoch: [13][7490/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.0038 (2.7029) Prec@1 36.719 (41.766) Prec@5 64.844 (66.963) Epoch: [13][7500/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7258 (2.7028) Prec@1 39.844 (41.768) Prec@5 68.750 (66.964) Epoch: [13][7510/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8637 (2.7027) Prec@1 39.062 (41.770) Prec@5 69.531 (66.967) Epoch: [13][7520/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8740 (2.7027) Prec@1 33.594 (41.771) Prec@5 64.844 (66.968) Epoch: [13][7530/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.3886 (2.7026) Prec@1 47.656 (41.772) Prec@5 71.094 (66.970) Epoch: [13][7540/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.0147 (2.7026) Prec@1 39.844 (41.772) Prec@5 62.500 (66.968) Epoch: [13][7550/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6069 (2.7025) Prec@1 45.312 (41.774) Prec@5 70.312 (66.972) Epoch: [13][7560/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5583 (2.7023) Prec@1 42.188 (41.777) Prec@5 66.406 (66.973) Epoch: [13][7570/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5453 (2.7023) Prec@1 46.875 (41.778) Prec@5 65.625 (66.972) Epoch: [13][7580/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6231 (2.7024) Prec@1 43.750 (41.777) Prec@5 67.969 (66.969) Epoch: [13][7590/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.0979 (2.7024) Prec@1 33.594 (41.779) Prec@5 64.062 (66.971) Epoch: [13][7600/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7748 (2.7023) Prec@1 40.625 (41.778) Prec@5 67.188 (66.971) Epoch: [13][7610/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6565 (2.7023) Prec@1 46.094 (41.782) Prec@5 67.188 (66.972) Epoch: [13][7620/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5455 (2.7022) Prec@1 42.969 (41.783) Prec@5 72.656 (66.975) Epoch: [13][7630/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0213 (2.7022) Prec@1 33.594 (41.782) Prec@5 63.281 (66.973) Epoch: [13][7640/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5851 (2.7020) Prec@1 42.969 (41.786) Prec@5 68.750 (66.979) Epoch: [13][7650/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4334 (2.7020) Prec@1 46.094 (41.787) Prec@5 74.219 (66.979) Epoch: [13][7660/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6619 (2.7020) Prec@1 44.531 (41.789) Prec@5 73.438 (66.980) Epoch: [13][7670/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 3.0308 (2.7020) Prec@1 35.156 (41.790) Prec@5 64.062 (66.981) Epoch: [13][7680/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6221 (2.7019) Prec@1 38.281 (41.788) Prec@5 70.312 (66.980) Epoch: [13][7690/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.1683 (2.7021) Prec@1 34.375 (41.786) Prec@5 58.594 (66.976) Epoch: [13][7700/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6656 (2.7022) Prec@1 45.312 (41.784) Prec@5 67.969 (66.974) Epoch: [13][7710/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5355 (2.7022) Prec@1 42.969 (41.783) Prec@5 67.969 (66.974) Epoch: [13][7720/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9241 (2.7022) Prec@1 39.844 (41.783) Prec@5 60.938 (66.974) Epoch: [13][7730/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6645 (2.7022) Prec@1 42.188 (41.782) Prec@5 63.281 (66.974) Epoch: [13][7740/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6056 (2.7023) Prec@1 44.531 (41.778) Prec@5 70.312 (66.972) Epoch: [13][7750/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.4562 (2.7023) Prec@1 48.438 (41.777) Prec@5 71.875 (66.973) Epoch: [13][7760/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0252 (2.7024) Prec@1 36.719 (41.775) Prec@5 59.375 (66.972) Epoch: [13][7770/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6635 (2.7023) Prec@1 37.500 (41.775) Prec@5 68.750 (66.975) Epoch: [13][7780/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.3329 (2.7021) Prec@1 50.000 (41.778) Prec@5 75.781 (66.979) Epoch: [13][7790/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6052 (2.7022) Prec@1 46.094 (41.777) Prec@5 70.312 (66.978) Epoch: [13][7800/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5007 (2.7023) Prec@1 40.625 (41.774) Prec@5 74.219 (66.976) Epoch: [13][7810/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7161 (2.7023) Prec@1 44.531 (41.772) Prec@5 71.094 (66.977) Epoch: [13][7820/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5156 (2.7023) Prec@1 36.719 (41.772) Prec@5 70.312 (66.979) Epoch: [13][7830/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8091 (2.7023) Prec@1 40.625 (41.772) Prec@5 63.281 (66.977) Epoch: [13][7840/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6467 (2.7023) Prec@1 43.750 (41.774) Prec@5 68.750 (66.978) Epoch: [13][7850/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9514 (2.7023) Prec@1 38.281 (41.774) Prec@5 67.969 (66.980) Epoch: [13][7860/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0391 (2.7023) Prec@1 37.500 (41.770) Prec@5 64.844 (66.979) Epoch: [13][7870/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5522 (2.7023) Prec@1 48.438 (41.773) Prec@5 66.406 (66.978) Epoch: [13][7880/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7221 (2.7023) Prec@1 43.750 (41.771) Prec@5 67.188 (66.976) Epoch: [13][7890/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5702 (2.7022) Prec@1 44.531 (41.772) Prec@5 66.406 (66.977) Epoch: [13][7900/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9974 (2.7022) Prec@1 32.812 (41.771) Prec@5 71.094 (66.980) Epoch: [13][7910/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6727 (2.7021) Prec@1 41.406 (41.774) Prec@5 71.094 (66.981) Epoch: [13][7920/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.7640 (2.7021) Prec@1 39.062 (41.773) Prec@5 64.062 (66.979) Epoch: [13][7930/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8170 (2.7021) Prec@1 39.062 (41.772) Prec@5 65.625 (66.979) Epoch: [13][7940/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 3.0231 (2.7022) Prec@1 37.500 (41.770) Prec@5 61.719 (66.978) Epoch: [13][7950/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8940 (2.7022) Prec@1 41.406 (41.771) Prec@5 61.719 (66.977) Epoch: [13][7960/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5776 (2.7020) Prec@1 43.750 (41.775) Prec@5 66.406 (66.979) Epoch: [13][7970/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5638 (2.7019) Prec@1 41.406 (41.777) Prec@5 69.531 (66.981) Epoch: [13][7980/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5982 (2.7018) Prec@1 46.094 (41.777) Prec@5 65.625 (66.983) Epoch: [13][7990/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4926 (2.7018) Prec@1 39.844 (41.775) Prec@5 71.094 (66.984) Epoch: [13][8000/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6471 (2.7018) Prec@1 40.625 (41.774) Prec@5 62.500 (66.984) Epoch: [13][8010/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4975 (2.7017) Prec@1 43.750 (41.777) Prec@5 66.406 (66.985) Epoch: [13][8020/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8286 (2.7018) Prec@1 35.938 (41.775) Prec@5 64.062 (66.983) Epoch: [13][8030/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.5968 (2.7018) Prec@1 44.531 (41.774) Prec@5 73.438 (66.982) Epoch: [13][8040/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7794 (2.7018) Prec@1 45.312 (41.774) Prec@5 66.406 (66.980) Epoch: [13][8050/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9027 (2.7018) Prec@1 39.062 (41.774) Prec@5 59.375 (66.980) Epoch: [13][8060/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5154 (2.7019) Prec@1 45.312 (41.772) Prec@5 71.875 (66.980) Epoch: [13][8070/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8825 (2.7020) Prec@1 39.062 (41.772) Prec@5 66.406 (66.979) Epoch: [13][8080/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8421 (2.7020) Prec@1 39.844 (41.771) Prec@5 63.281 (66.979) Epoch: [13][8090/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5913 (2.7020) Prec@1 45.312 (41.773) Prec@5 69.531 (66.978) Epoch: [13][8100/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8259 (2.7021) Prec@1 42.188 (41.771) Prec@5 64.844 (66.979) Epoch: [13][8110/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9127 (2.7022) Prec@1 37.500 (41.769) Prec@5 63.281 (66.977) Epoch: [13][8120/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7763 (2.7023) Prec@1 36.719 (41.768) Prec@5 70.312 (66.976) Epoch: [13][8130/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6525 (2.7022) Prec@1 41.406 (41.770) Prec@5 71.094 (66.977) Epoch: [13][8140/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.0522 (2.7023) Prec@1 37.500 (41.769) Prec@5 63.281 (66.978) Epoch: [13][8150/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4574 (2.7024) Prec@1 42.188 (41.768) Prec@5 71.875 (66.977) Epoch: [13][8160/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5263 (2.7024) Prec@1 46.094 (41.769) Prec@5 72.656 (66.978) Epoch: [13][8170/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.6951 (2.7024) Prec@1 41.406 (41.768) Prec@5 67.188 (66.979) Epoch: [13][8180/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.3174 (2.7022) Prec@1 46.094 (41.770) Prec@5 76.562 (66.983) Epoch: [13][8190/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4423 (2.7022) Prec@1 42.969 (41.771) Prec@5 71.875 (66.982) /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: [13][8200/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5230 (2.7022) Prec@1 39.844 (41.773) Prec@5 74.219 (66.982) Epoch: [13][8210/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5643 (2.7022) Prec@1 43.750 (41.772) Prec@5 68.750 (66.982) Epoch: [13][8220/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5517 (2.7022) Prec@1 44.531 (41.770) Prec@5 71.094 (66.980) Epoch: [13][8230/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6880 (2.7021) Prec@1 46.094 (41.772) Prec@5 65.625 (66.980) Epoch: [13][8240/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6365 (2.7021) Prec@1 39.844 (41.775) Prec@5 66.406 (66.981) Epoch: [13][8250/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4493 (2.7019) Prec@1 48.438 (41.780) Prec@5 70.312 (66.984) Epoch: [13][8260/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9726 (2.7019) Prec@1 36.719 (41.780) Prec@5 60.938 (66.983) Epoch: [13][8270/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7457 (2.7019) Prec@1 39.062 (41.779) Prec@5 65.625 (66.983) Epoch: [13][8280/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.1166 (2.7018) Prec@1 39.062 (41.779) Prec@5 64.062 (66.986) Epoch: [13][8290/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.0535 (2.7019) Prec@1 34.375 (41.778) Prec@5 63.281 (66.985) Epoch: [13][8300/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6841 (2.7019) Prec@1 39.062 (41.778) Prec@5 67.188 (66.984) Epoch: [13][8310/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5111 (2.7019) Prec@1 42.969 (41.777) Prec@5 70.312 (66.987) Epoch: [13][8320/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8340 (2.7020) Prec@1 39.844 (41.776) Prec@5 58.594 (66.985) Epoch: [13][8330/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5169 (2.7019) Prec@1 37.500 (41.776) Prec@5 72.656 (66.986) Epoch: [13][8340/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7747 (2.7020) Prec@1 40.625 (41.776) Prec@5 60.156 (66.984) Epoch: [13][8350/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8624 (2.7021) Prec@1 39.062 (41.779) Prec@5 63.281 (66.983) Epoch: [13][8360/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8151 (2.7020) Prec@1 44.531 (41.781) Prec@5 71.094 (66.986) Epoch: [13][8370/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6419 (2.7020) Prec@1 39.844 (41.781) Prec@5 71.094 (66.986) Epoch: [13][8380/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7753 (2.7020) Prec@1 42.188 (41.782) Prec@5 67.188 (66.984) Epoch: [13][8390/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5996 (2.7021) Prec@1 46.875 (41.783) Prec@5 66.406 (66.984) Epoch: [13][8400/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5532 (2.7020) Prec@1 42.969 (41.784) Prec@5 68.750 (66.983) Epoch: [13][8410/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8789 (2.7020) Prec@1 46.094 (41.786) Prec@5 63.281 (66.984) Epoch: [13][8420/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4672 (2.7018) Prec@1 40.625 (41.789) Prec@5 72.656 (66.987) Epoch: [13][8430/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6193 (2.7017) Prec@1 46.094 (41.790) Prec@5 67.188 (66.989) Epoch: [13][8440/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9089 (2.7018) Prec@1 38.281 (41.787) Prec@5 64.844 (66.987) Epoch: [13][8450/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6500 (2.7019) Prec@1 41.406 (41.786) Prec@5 68.750 (66.987) Epoch: [13][8460/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5311 (2.7020) Prec@1 48.438 (41.785) Prec@5 70.312 (66.986) Epoch: [13][8470/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5693 (2.7018) Prec@1 42.188 (41.787) Prec@5 68.750 (66.989) Epoch: [13][8480/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7794 (2.7018) Prec@1 37.500 (41.788) Prec@5 62.500 (66.989) Epoch: [13][8490/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7356 (2.7018) Prec@1 40.625 (41.787) Prec@5 67.969 (66.988) Epoch: [13][8500/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.9535 (2.7019) Prec@1 36.719 (41.785) Prec@5 60.156 (66.987) Epoch: [13][8510/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.2974 (2.7020) Prec@1 30.469 (41.785) Prec@5 57.812 (66.986) Epoch: [13][8520/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7450 (2.7020) Prec@1 36.719 (41.786) Prec@5 71.094 (66.988) Epoch: [13][8530/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.2522 (2.7021) Prec@1 33.594 (41.782) Prec@5 57.812 (66.986) Epoch: [13][8540/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8531 (2.7022) Prec@1 40.625 (41.783) Prec@5 64.062 (66.985) Epoch: [13][8550/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7152 (2.7022) Prec@1 40.625 (41.783) Prec@5 68.750 (66.985) Epoch: [13][8560/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4158 (2.7023) Prec@1 46.094 (41.782) Prec@5 74.219 (66.983) Epoch: [13][8570/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6997 (2.7024) Prec@1 39.844 (41.780) Prec@5 64.844 (66.982) Epoch: [13][8580/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0601 (2.7025) Prec@1 35.938 (41.776) Prec@5 60.938 (66.978) Epoch: [13][8590/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8625 (2.7026) Prec@1 36.719 (41.773) Prec@5 65.625 (66.977) Epoch: [13][8600/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7385 (2.7026) Prec@1 42.188 (41.771) Prec@5 64.844 (66.975) Epoch: [13][8610/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8919 (2.7026) Prec@1 42.188 (41.770) Prec@5 64.844 (66.977) Epoch: [13][8620/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6436 (2.7026) Prec@1 40.625 (41.768) Prec@5 66.406 (66.977) Epoch: [13][8630/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7002 (2.7027) Prec@1 42.188 (41.768) Prec@5 69.531 (66.977) Epoch: [13][8640/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8195 (2.7026) Prec@1 38.281 (41.768) Prec@5 67.188 (66.978) Epoch: [13][8650/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9190 (2.7027) Prec@1 36.719 (41.766) Prec@5 61.719 (66.976) Epoch: [13][8660/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8784 (2.7028) Prec@1 37.500 (41.763) Prec@5 64.062 (66.973) Epoch: [13][8670/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.0407 (2.7029) Prec@1 39.844 (41.762) Prec@5 64.844 (66.971) Epoch: [13][8680/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7963 (2.7029) Prec@1 34.375 (41.760) Prec@5 63.281 (66.971) Epoch: [13][8690/10010] Time 0.358 (0.332) Data 0.000 (0.001) Loss 2.6824 (2.7030) Prec@1 42.188 (41.759) Prec@5 64.844 (66.969) Epoch: [13][8700/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9306 (2.7031) Prec@1 35.156 (41.758) Prec@5 59.375 (66.969) Epoch: [13][8710/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.4182 (2.7031) Prec@1 46.094 (41.757) Prec@5 69.531 (66.969) Epoch: [13][8720/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5816 (2.7031) Prec@1 42.969 (41.757) Prec@5 68.750 (66.969) Epoch: [13][8730/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 3.1522 (2.7031) Prec@1 36.719 (41.757) Prec@5 61.719 (66.971) Epoch: [13][8740/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.8218 (2.7031) Prec@1 40.625 (41.756) Prec@5 68.750 (66.972) Epoch: [13][8750/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6996 (2.7031) Prec@1 42.188 (41.757) Prec@5 68.750 (66.971) Epoch: [13][8760/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7125 (2.7031) Prec@1 47.656 (41.756) Prec@5 67.188 (66.970) Epoch: [13][8770/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.2237 (2.7031) Prec@1 46.875 (41.757) Prec@5 74.219 (66.971) Epoch: [13][8780/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4966 (2.7030) Prec@1 42.188 (41.758) Prec@5 74.219 (66.973) Epoch: [13][8790/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.5333 (2.7030) Prec@1 52.344 (41.757) Prec@5 69.531 (66.973) Epoch: [13][8800/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6482 (2.7029) Prec@1 43.750 (41.758) Prec@5 69.531 (66.974) Epoch: [13][8810/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6427 (2.7030) Prec@1 38.281 (41.757) Prec@5 67.969 (66.973) Epoch: [13][8820/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6006 (2.7031) Prec@1 42.969 (41.754) Prec@5 70.312 (66.972) Epoch: [13][8830/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5485 (2.7031) Prec@1 45.312 (41.753) Prec@5 67.969 (66.969) Epoch: [13][8840/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6692 (2.7031) Prec@1 38.281 (41.753) Prec@5 67.188 (66.968) Epoch: [13][8850/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4911 (2.7029) Prec@1 42.188 (41.755) Prec@5 72.656 (66.971) Epoch: [13][8860/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8028 (2.7028) Prec@1 35.156 (41.755) Prec@5 68.750 (66.975) Epoch: [13][8870/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7898 (2.7030) Prec@1 38.281 (41.752) Prec@5 64.062 (66.972) Epoch: [13][8880/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4088 (2.7029) Prec@1 47.656 (41.753) Prec@5 77.344 (66.975) Epoch: [13][8890/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8435 (2.7029) Prec@1 38.281 (41.754) Prec@5 60.938 (66.974) Epoch: [13][8900/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0840 (2.7030) Prec@1 35.156 (41.753) Prec@5 57.812 (66.974) Epoch: [13][8910/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4324 (2.7030) Prec@1 50.781 (41.751) Prec@5 71.094 (66.973) Epoch: [13][8920/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.4540 (2.7030) Prec@1 49.219 (41.752) Prec@5 72.656 (66.972) Epoch: [13][8930/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6412 (2.7029) Prec@1 46.094 (41.753) Prec@5 66.406 (66.974) Epoch: [13][8940/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7124 (2.7029) Prec@1 45.312 (41.753) Prec@5 66.406 (66.974) Epoch: [13][8950/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7882 (2.7028) Prec@1 38.281 (41.754) Prec@5 70.312 (66.976) Epoch: [13][8960/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 3.0396 (2.7027) Prec@1 28.906 (41.755) Prec@5 60.938 (66.976) Epoch: [13][8970/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 2.5842 (2.7026) Prec@1 40.625 (41.756) Prec@5 71.094 (66.979) Epoch: [13][8980/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4658 (2.7026) Prec@1 42.969 (41.756) Prec@5 68.750 (66.979) Epoch: [13][8990/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8331 (2.7026) Prec@1 39.062 (41.756) Prec@5 63.281 (66.978) Epoch: [13][9000/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7640 (2.7027) Prec@1 48.438 (41.758) Prec@5 69.531 (66.979) Epoch: [13][9010/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.2653 (2.7026) Prec@1 31.250 (41.757) Prec@5 64.062 (66.980) Epoch: [13][9020/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.1976 (2.7028) Prec@1 30.469 (41.754) Prec@5 60.938 (66.978) Epoch: [13][9030/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.1828 (2.7029) Prec@1 34.375 (41.754) Prec@5 62.500 (66.977) Epoch: [13][9040/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7416 (2.7028) Prec@1 37.500 (41.756) Prec@5 69.531 (66.979) Epoch: [13][9050/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6296 (2.7029) Prec@1 39.062 (41.753) Prec@5 67.969 (66.977) Epoch: [13][9060/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1224 (2.7030) Prec@1 39.844 (41.753) Prec@5 57.812 (66.975) Epoch: [13][9070/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8515 (2.7029) Prec@1 42.188 (41.753) Prec@5 65.625 (66.977) Epoch: [13][9080/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8296 (2.7028) Prec@1 42.188 (41.754) Prec@5 67.188 (66.977) Epoch: [13][9090/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.0553 (2.7029) Prec@1 36.719 (41.752) Prec@5 62.500 (66.976) Epoch: [13][9100/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.4979 (2.7028) Prec@1 48.438 (41.755) Prec@5 67.969 (66.975) Epoch: [13][9110/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8017 (2.7029) Prec@1 40.625 (41.754) Prec@5 64.844 (66.974) Epoch: [13][9120/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8302 (2.7029) Prec@1 36.719 (41.752) Prec@5 64.062 (66.973) Epoch: [13][9130/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5297 (2.7030) Prec@1 43.750 (41.752) Prec@5 67.969 (66.974) Epoch: [13][9140/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9877 (2.7031) Prec@1 37.500 (41.750) Prec@5 60.938 (66.971) Epoch: [13][9150/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5563 (2.7032) Prec@1 46.094 (41.749) Prec@5 70.312 (66.970) Epoch: [13][9160/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9960 (2.7032) Prec@1 35.156 (41.748) Prec@5 62.500 (66.972) Epoch: [13][9170/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4035 (2.7032) Prec@1 47.656 (41.746) Prec@5 69.531 (66.970) Epoch: [13][9180/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6908 (2.7031) Prec@1 46.094 (41.747) Prec@5 63.281 (66.971) Epoch: [13][9190/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.1869 (2.7030) Prec@1 50.781 (41.748) Prec@5 80.469 (66.974) Epoch: [13][9200/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4948 (2.7029) Prec@1 45.312 (41.751) Prec@5 68.750 (66.976) Epoch: [13][9210/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9755 (2.7030) Prec@1 41.406 (41.750) Prec@5 61.719 (66.975) Epoch: [13][9220/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.3352 (2.7030) Prec@1 50.000 (41.750) Prec@5 75.000 (66.975) Epoch: [13][9230/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7853 (2.7029) Prec@1 38.281 (41.750) Prec@5 65.625 (66.975) Epoch: [13][9240/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8193 (2.7030) Prec@1 42.188 (41.751) Prec@5 63.281 (66.972) Epoch: [13][9250/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6068 (2.7030) Prec@1 42.188 (41.752) Prec@5 69.531 (66.972) Epoch: [13][9260/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7106 (2.7029) Prec@1 50.000 (41.754) Prec@5 68.750 (66.973) Epoch: [13][9270/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8000 (2.7029) Prec@1 41.406 (41.755) Prec@5 65.625 (66.973) Epoch: [13][9280/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6623 (2.7029) Prec@1 43.750 (41.756) Prec@5 73.438 (66.974) Epoch: [13][9290/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6443 (2.7030) Prec@1 39.062 (41.754) Prec@5 64.062 (66.972) Epoch: [13][9300/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7072 (2.7029) Prec@1 42.188 (41.755) Prec@5 64.844 (66.973) Epoch: [13][9310/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7613 (2.7029) Prec@1 44.531 (41.755) Prec@5 64.844 (66.973) Epoch: [13][9320/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5401 (2.7029) Prec@1 42.969 (41.755) Prec@5 71.875 (66.971) Epoch: [13][9330/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7112 (2.7029) Prec@1 41.406 (41.755) Prec@5 70.312 (66.970) Epoch: [13][9340/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5872 (2.7029) Prec@1 43.750 (41.754) Prec@5 66.406 (66.971) Epoch: [13][9350/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8584 (2.7029) Prec@1 39.062 (41.754) Prec@5 63.281 (66.971) Epoch: [13][9360/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4239 (2.7030) Prec@1 45.312 (41.752) Prec@5 73.438 (66.970) Epoch: [13][9370/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 3.0766 (2.7030) Prec@1 36.719 (41.749) Prec@5 57.812 (66.968) Epoch: [13][9380/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5108 (2.7029) Prec@1 44.531 (41.751) Prec@5 71.094 (66.972) Epoch: [13][9390/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6047 (2.7029) Prec@1 38.281 (41.750) Prec@5 70.312 (66.972) Epoch: [13][9400/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9798 (2.7029) Prec@1 34.375 (41.751) Prec@5 61.719 (66.970) Epoch: [13][9410/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5691 (2.7030) Prec@1 46.094 (41.751) Prec@5 71.875 (66.969) Epoch: [13][9420/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.4246 (2.7029) Prec@1 50.000 (41.753) Prec@5 73.438 (66.971) Epoch: [13][9430/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7567 (2.7029) Prec@1 38.281 (41.752) Prec@5 70.312 (66.974) Epoch: [13][9440/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8396 (2.7029) Prec@1 39.844 (41.753) Prec@5 58.594 (66.973) Epoch: [13][9450/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6969 (2.7029) Prec@1 39.844 (41.752) Prec@5 66.406 (66.973) Epoch: [13][9460/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6299 (2.7028) Prec@1 43.750 (41.750) Prec@5 63.281 (66.973) Epoch: [13][9470/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7058 (2.7029) Prec@1 40.625 (41.748) Prec@5 66.406 (66.974) Epoch: [13][9480/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7177 (2.7030) Prec@1 44.531 (41.748) Prec@5 65.625 (66.971) Epoch: [13][9490/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9365 (2.7030) Prec@1 38.281 (41.748) Prec@5 57.812 (66.971) Epoch: [13][9500/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7889 (2.7031) Prec@1 44.531 (41.747) Prec@5 66.406 (66.969) Epoch: [13][9510/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4802 (2.7031) Prec@1 46.875 (41.747) Prec@5 71.094 (66.969) Epoch: [13][9520/10010] Time 0.324 (0.332) Data 0.002 (0.001) Loss 2.6197 (2.7031) Prec@1 43.750 (41.748) Prec@5 67.188 (66.969) Epoch: [13][9530/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.0196 (2.7031) Prec@1 39.062 (41.748) Prec@5 59.375 (66.968) Epoch: [13][9540/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6547 (2.7032) Prec@1 37.500 (41.748) Prec@5 64.844 (66.967) Epoch: [13][9550/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7876 (2.7032) Prec@1 44.531 (41.746) Prec@5 64.844 (66.967) Epoch: [13][9560/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6180 (2.7032) Prec@1 42.188 (41.745) Prec@5 66.406 (66.965) Epoch: [13][9570/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5858 (2.7032) Prec@1 42.188 (41.745) Prec@5 69.531 (66.966) Epoch: [13][9580/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5136 (2.7032) Prec@1 45.312 (41.745) Prec@5 70.312 (66.967) Epoch: [13][9590/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7804 (2.7031) Prec@1 46.094 (41.745) Prec@5 64.844 (66.968) Epoch: [13][9600/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7347 (2.7032) Prec@1 41.406 (41.743) Prec@5 64.844 (66.968) Epoch: [13][9610/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7614 (2.7033) Prec@1 39.062 (41.744) Prec@5 67.188 (66.967) Epoch: [13][9620/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6156 (2.7033) Prec@1 42.969 (41.744) Prec@5 69.531 (66.967) Epoch: [13][9630/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.7823 (2.7032) Prec@1 34.375 (41.744) Prec@5 67.969 (66.969) Epoch: [13][9640/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6876 (2.7031) Prec@1 39.062 (41.743) Prec@5 64.844 (66.967) Epoch: [13][9650/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.5276 (2.7033) Prec@1 46.875 (41.741) Prec@5 70.312 (66.965) Epoch: [13][9660/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 3.1205 (2.7032) Prec@1 35.938 (41.741) Prec@5 64.844 (66.965) Epoch: [13][9670/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7231 (2.7032) Prec@1 38.281 (41.739) Prec@5 64.062 (66.966) Epoch: [13][9680/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6226 (2.7032) Prec@1 44.531 (41.738) Prec@5 73.438 (66.967) Epoch: [13][9690/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8463 (2.7032) Prec@1 40.625 (41.739) Prec@5 71.094 (66.968) Epoch: [13][9700/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6293 (2.7032) Prec@1 41.406 (41.739) Prec@5 65.625 (66.968) Epoch: [13][9710/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6602 (2.7032) Prec@1 39.844 (41.740) Prec@5 67.188 (66.969) Epoch: [13][9720/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7214 (2.7032) Prec@1 44.531 (41.738) Prec@5 64.062 (66.969) Epoch: [13][9730/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7909 (2.7031) Prec@1 38.281 (41.740) Prec@5 62.500 (66.971) Epoch: [13][9740/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.5265 (2.7031) Prec@1 50.781 (41.740) Prec@5 72.656 (66.970) Epoch: [13][9750/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6876 (2.7030) Prec@1 43.750 (41.741) Prec@5 67.969 (66.971) Epoch: [13][9760/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8817 (2.7030) Prec@1 35.938 (41.742) Prec@5 64.844 (66.970) Epoch: [13][9770/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9099 (2.7029) Prec@1 36.719 (41.743) Prec@5 66.406 (66.972) Epoch: [13][9780/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6915 (2.7029) Prec@1 43.750 (41.742) Prec@5 69.531 (66.973) Epoch: [13][9790/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6980 (2.7030) Prec@1 42.969 (41.740) Prec@5 62.500 (66.971) Epoch: [13][9800/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.9882 (2.7031) Prec@1 35.938 (41.738) Prec@5 64.062 (66.969) Epoch: [13][9810/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6342 (2.7031) Prec@1 50.000 (41.740) Prec@5 65.625 (66.970) Epoch: [13][9820/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6543 (2.7031) Prec@1 42.969 (41.738) Prec@5 66.406 (66.970) Epoch: [13][9830/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.0222 (2.7030) Prec@1 35.938 (41.739) Prec@5 62.500 (66.972) Epoch: [13][9840/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.0484 (2.7030) Prec@1 33.594 (41.738) Prec@5 64.062 (66.972) Epoch: [13][9850/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5354 (2.7030) Prec@1 43.750 (41.739) Prec@5 70.312 (66.974) Epoch: [13][9860/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0642 (2.7030) Prec@1 27.344 (41.738) Prec@5 64.844 (66.974) Epoch: [13][9870/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.1283 (2.7032) Prec@1 39.062 (41.736) Prec@5 61.719 (66.971) Epoch: [13][9880/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6013 (2.7033) Prec@1 40.625 (41.736) Prec@5 69.531 (66.971) Epoch: [13][9890/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9242 (2.7032) Prec@1 43.750 (41.735) Prec@5 67.188 (66.973) Epoch: [13][9900/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7080 (2.7032) Prec@1 45.312 (41.736) Prec@5 64.844 (66.973) Epoch: [13][9910/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.1660 (2.7033) Prec@1 35.938 (41.736) Prec@5 58.594 (66.971) Epoch: [13][9920/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4386 (2.7033) Prec@1 50.000 (41.737) Prec@5 68.750 (66.971) Epoch: [13][9930/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6759 (2.7033) Prec@1 42.188 (41.737) Prec@5 64.062 (66.970) Epoch: [13][9940/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6943 (2.7033) Prec@1 45.312 (41.738) Prec@5 66.406 (66.969) Epoch: [13][9950/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7750 (2.7033) Prec@1 39.844 (41.737) Prec@5 64.844 (66.970) Epoch: [13][9960/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6977 (2.7032) Prec@1 45.312 (41.738) Prec@5 66.406 (66.971) Epoch: [13][9970/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9824 (2.7033) Prec@1 34.375 (41.737) Prec@5 60.156 (66.971) Epoch: [13][9980/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7829 (2.7033) Prec@1 40.625 (41.738) Prec@5 66.406 (66.971) Epoch: [13][9990/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.3725 (2.7033) Prec@1 44.531 (41.738) Prec@5 72.656 (66.971) Epoch: [13][10000/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5281 (2.7032) Prec@1 44.531 (41.739) Prec@5 69.531 (66.972) Test: [0/391] Time 1.536 (1.536) Loss 1.5811 (1.5811) Prec@1 66.406 (66.406) Prec@5 82.812 (82.812) Test: [10/391] Time 0.104 (0.248) Loss 1.8476 (1.7562) Prec@1 57.031 (58.878) Prec@5 79.688 (81.392) Test: [20/391] Time 0.106 (0.181) Loss 1.9944 (2.0403) Prec@1 47.656 (51.376) Prec@5 82.031 (78.348) Test: [30/391] Time 0.109 (0.158) Loss 2.2389 (2.1851) Prec@1 49.219 (47.984) Prec@5 78.125 (76.739) Test: [40/391] Time 0.113 (0.145) Loss 2.1667 (2.0256) Prec@1 54.688 (52.439) Prec@5 72.656 (78.373) Test: [50/391] Time 0.120 (0.139) Loss 1.4482 (2.1007) Prec@1 64.062 (51.394) Prec@5 84.375 (77.083) Test: [60/391] Time 0.112 (0.135) Loss 2.6178 (2.0510) Prec@1 32.812 (52.766) Prec@5 70.312 (77.779) Test: [70/391] Time 0.105 (0.131) Loss 2.6464 (2.0639) Prec@1 37.500 (51.507) Prec@5 70.312 (77.883) Test: [80/391] Time 0.105 (0.128) Loss 1.9521 (2.1011) Prec@1 50.000 (49.788) Prec@5 78.125 (77.556) Test: [90/391] Time 0.113 (0.126) Loss 2.5863 (2.0947) Prec@1 37.500 (49.528) Prec@5 69.531 (77.850) Test: [100/391] Time 0.100 (0.125) Loss 2.0232 (2.1063) Prec@1 50.000 (48.917) Prec@5 81.250 (77.723) Test: [110/391] Time 0.109 (0.123) Loss 2.3093 (2.1292) Prec@1 42.188 (48.262) Prec@5 76.562 (77.477) Test: [120/391] Time 0.114 (0.122) Loss 2.0864 (2.1260) Prec@1 50.000 (48.476) Prec@5 71.875 (77.402) Test: [130/391] Time 0.102 (0.121) Loss 1.1165 (2.1044) Prec@1 72.656 (48.992) Prec@5 92.188 (77.678) Test: [140/391] Time 0.103 (0.120) Loss 2.6697 (2.1126) Prec@1 37.500 (48.892) Prec@5 67.969 (77.626) Test: [150/391] Time 0.108 (0.120) Loss 2.1085 (2.1107) Prec@1 35.938 (48.805) Prec@5 80.469 (77.644) Test: [160/391] Time 0.105 (0.119) Loss 2.3346 (2.1181) Prec@1 46.094 (48.865) Prec@5 78.125 (77.591) Test: [170/391] Time 0.104 (0.118) Loss 3.1487 (2.1759) Prec@1 33.594 (48.109) Prec@5 61.719 (76.631) Test: [180/391] Time 0.104 (0.117) Loss 4.0135 (2.2222) Prec@1 19.531 (47.315) Prec@5 53.125 (75.937) Test: [190/391] Time 0.111 (0.117) Loss 3.8269 (2.2654) Prec@1 35.156 (46.810) Prec@5 63.281 (75.221) Test: [200/391] Time 0.110 (0.117) Loss 3.9091 (2.3030) Prec@1 32.812 (46.346) Prec@5 50.000 (74.681) Test: [210/391] Time 0.113 (0.116) Loss 2.0608 (2.3165) Prec@1 54.688 (46.216) Prec@5 72.656 (74.456) Test: [220/391] Time 0.110 (0.116) Loss 1.9413 (2.3190) Prec@1 59.375 (46.309) Prec@5 75.000 (74.314) Test: [230/391] Time 0.105 (0.116) Loss 3.9498 (2.3441) Prec@1 22.656 (45.975) Prec@5 52.344 (73.935) Test: [240/391] Time 0.186 (0.115) Loss 2.8472 (2.3612) Prec@1 46.094 (45.831) Prec@5 64.062 (73.609) Test: [250/391] Time 0.105 (0.115) Loss 2.1256 (2.3887) Prec@1 52.344 (45.502) Prec@5 76.562 (73.248) Test: [260/391] Time 0.112 (0.115) Loss 2.9623 (2.4135) Prec@1 32.812 (44.992) Prec@5 60.938 (72.800) Test: [270/391] Time 0.105 (0.115) Loss 3.2165 (2.4280) Prec@1 28.125 (44.845) Prec@5 59.375 (72.483) Test: [280/391] Time 0.112 (0.114) Loss 3.1350 (2.4563) Prec@1 25.000 (44.476) Prec@5 65.625 (72.033) Test: [290/391] Time 0.106 (0.114) Loss 2.6724 (2.4684) Prec@1 39.062 (44.335) Prec@5 73.438 (71.827) Test: [300/391] Time 0.101 (0.114) Loss 2.8607 (2.4881) Prec@1 41.406 (44.085) Prec@5 71.094 (71.517) Test: [310/391] Time 0.112 (0.114) Loss 3.4644 (2.5151) Prec@1 23.438 (43.692) Prec@5 53.125 (71.079) Test: [320/391] Time 0.119 (0.114) Loss 1.5009 (2.5258) Prec@1 67.969 (43.563) Prec@5 88.281 (70.919) Test: [330/391] Time 0.107 (0.114) Loss 3.1057 (2.5500) Prec@1 39.844 (43.205) Prec@5 53.906 (70.482) Test: [340/391] Time 0.111 (0.114) Loss 2.5713 (2.5523) Prec@1 33.594 (43.145) Prec@5 77.344 (70.473) Test: [350/391] Time 0.104 (0.113) Loss 2.3810 (2.5641) Prec@1 51.562 (42.940) Prec@5 75.000 (70.288) Test: [360/391] Time 0.105 (0.113) Loss 2.4525 (2.5659) Prec@1 48.438 (42.967) Prec@5 67.969 (70.256) Test: [370/391] Time 0.111 (0.113) Loss 1.9348 (2.5676) Prec@1 46.094 (42.927) Prec@5 78.906 (70.220) Test: [380/391] Time 0.105 (0.113) Loss 2.0822 (2.5656) Prec@1 49.219 (42.985) Prec@5 77.344 (70.230) Test: [390/391] Time 0.069 (0.113) Loss 4.3245 (2.5552) Prec@1 20.000 (43.192) Prec@5 43.750 (70.394) * Prec@1 43.192 Prec@5 70.394 Epoch: [14][0/10010] Time 2.839 (2.839) Data 2.653 (2.653) Loss 2.3677 (2.3677) Prec@1 48.438 (48.438) Prec@5 71.875 (71.875) Epoch: [14][10/10010] Time 0.329 (0.552) Data 0.000 (0.242) Loss 2.5546 (2.7366) Prec@1 43.750 (42.472) Prec@5 67.188 (66.264) Epoch: [14][20/10010] Time 0.331 (0.443) Data 0.001 (0.127) Loss 2.8121 (2.7189) Prec@1 41.406 (42.001) Prec@5 60.938 (67.188) Epoch: [14][30/10010] Time 0.323 (0.404) Data 0.000 (0.086) Loss 2.7818 (2.7030) Prec@1 44.531 (42.490) Prec@5 65.625 (67.692) Epoch: [14][40/10010] Time 0.335 (0.387) Data 0.000 (0.065) Loss 2.9820 (2.6772) Prec@1 35.156 (42.550) Prec@5 61.719 (68.064) Epoch: [14][50/10010] Time 0.323 (0.375) Data 0.001 (0.053) Loss 2.3949 (2.6683) Prec@1 48.438 (42.555) Prec@5 71.875 (67.969) Epoch: [14][60/10010] Time 0.338 (0.368) Data 0.001 (0.044) Loss 2.7180 (2.6761) Prec@1 39.062 (42.495) Prec@5 68.750 (67.879) Epoch: [14][70/10010] Time 0.321 (0.363) Data 0.001 (0.038) Loss 3.0004 (2.6758) Prec@1 35.938 (42.342) Prec@5 60.156 (67.881) Epoch: [14][80/10010] Time 0.328 (0.359) Data 0.000 (0.033) Loss 2.8933 (2.6607) Prec@1 38.281 (42.573) Prec@5 62.500 (68.094) Epoch: [14][90/10010] Time 0.321 (0.355) Data 0.001 (0.030) Loss 2.4508 (2.6608) Prec@1 51.562 (42.479) Prec@5 73.438 (68.089) Epoch: [14][100/10010] Time 0.331 (0.353) Data 0.000 (0.027) Loss 2.6526 (2.6621) Prec@1 41.406 (42.427) Prec@5 70.312 (68.123) Epoch: [14][110/10010] Time 0.335 (0.351) Data 0.001 (0.025) Loss 2.8403 (2.6575) Prec@1 41.406 (42.511) Prec@5 64.844 (68.321) Epoch: [14][120/10010] Time 0.343 (0.350) Data 0.001 (0.023) Loss 2.5288 (2.6531) Prec@1 42.969 (42.556) Prec@5 67.188 (68.317) Epoch: [14][130/10010] Time 0.348 (0.348) Data 0.001 (0.021) Loss 2.6485 (2.6562) Prec@1 37.500 (42.557) Prec@5 65.625 (68.273) Epoch: [14][140/10010] Time 0.337 (0.347) Data 0.000 (0.020) Loss 3.0071 (2.6591) Prec@1 37.500 (42.564) Prec@5 64.062 (68.196) Epoch: [14][150/10010] Time 0.316 (0.346) Data 0.001 (0.018) Loss 2.8196 (2.6636) Prec@1 35.938 (42.524) Prec@5 61.719 (68.150) Epoch: [14][160/10010] Time 0.320 (0.345) Data 0.001 (0.017) Loss 2.6712 (2.6640) Prec@1 41.406 (42.629) Prec@5 67.188 (68.143) Epoch: [14][170/10010] Time 0.316 (0.343) Data 0.001 (0.016) Loss 2.7353 (2.6575) Prec@1 41.406 (42.781) Prec@5 64.844 (68.202) Epoch: [14][180/10010] Time 0.325 (0.343) Data 0.001 (0.015) Loss 2.6878 (2.6588) Prec@1 42.188 (42.680) Prec@5 62.500 (68.202) Epoch: [14][190/10010] Time 0.337 (0.342) Data 0.001 (0.015) Loss 2.7244 (2.6616) Prec@1 46.875 (42.527) Prec@5 67.969 (68.136) Epoch: [14][200/10010] Time 0.338 (0.342) Data 0.001 (0.014) Loss 2.7770 (2.6582) Prec@1 41.406 (42.549) Prec@5 65.625 (68.210) Epoch: [14][210/10010] Time 0.325 (0.341) Data 0.000 (0.013) Loss 2.5034 (2.6570) Prec@1 35.938 (42.502) Prec@5 75.781 (68.239) Epoch: [14][220/10010] Time 0.326 (0.341) Data 0.001 (0.013) Loss 2.7616 (2.6623) Prec@1 44.531 (42.424) Prec@5 66.406 (68.131) Epoch: [14][230/10010] Time 0.330 (0.340) Data 0.000 (0.012) Loss 2.9101 (2.6638) Prec@1 37.500 (42.404) Prec@5 67.969 (68.053) Epoch: [14][240/10010] Time 0.326 (0.340) Data 0.001 (0.012) Loss 2.4949 (2.6617) Prec@1 48.438 (42.392) Prec@5 68.750 (68.056) Epoch: [14][250/10010] Time 0.325 (0.339) Data 0.001 (0.011) Loss 2.7401 (2.6651) Prec@1 43.750 (42.321) Prec@5 64.062 (67.953) Epoch: [14][260/10010] Time 0.334 (0.339) Data 0.001 (0.011) Loss 2.4394 (2.6625) Prec@1 44.531 (42.361) Prec@5 72.656 (68.017) Epoch: [14][270/10010] Time 0.331 (0.338) Data 0.000 (0.010) Loss 2.4200 (2.6573) Prec@1 49.219 (42.456) Prec@5 68.750 (68.084) Epoch: [14][280/10010] Time 0.335 (0.338) Data 0.000 (0.010) Loss 3.0475 (2.6612) Prec@1 35.938 (42.388) Prec@5 58.594 (67.930) Epoch: [14][290/10010] Time 0.330 (0.338) Data 0.000 (0.010) Loss 2.6126 (2.6558) Prec@1 39.062 (42.502) Prec@5 64.062 (68.004) Epoch: [14][300/10010] Time 0.343 (0.338) Data 0.000 (0.009) Loss 2.7931 (2.6576) Prec@1 45.312 (42.522) Prec@5 67.188 (67.953) Epoch: [14][310/10010] Time 0.330 (0.338) Data 0.000 (0.009) Loss 2.4574 (2.6532) Prec@1 40.625 (42.615) Prec@5 72.656 (68.039) Epoch: [14][320/10010] Time 0.317 (0.337) Data 0.001 (0.009) Loss 2.7341 (2.6547) Prec@1 39.062 (42.570) Prec@5 67.188 (68.030) Epoch: [14][330/10010] Time 0.315 (0.337) Data 0.000 (0.009) Loss 2.2456 (2.6546) Prec@1 50.000 (42.553) Prec@5 71.875 (68.016) Epoch: [14][340/10010] Time 0.329 (0.337) Data 0.000 (0.008) Loss 2.8332 (2.6551) Prec@1 35.938 (42.506) Prec@5 64.062 (67.999) Epoch: [14][350/10010] Time 0.326 (0.337) Data 0.001 (0.008) Loss 2.5264 (2.6563) Prec@1 46.094 (42.497) Prec@5 66.406 (67.949) Epoch: [14][360/10010] Time 0.331 (0.336) Data 0.001 (0.008) Loss 2.8014 (2.6577) Prec@1 36.719 (42.443) Prec@5 66.406 (67.938) Epoch: [14][370/10010] Time 0.324 (0.336) Data 0.000 (0.008) Loss 2.6160 (2.6575) Prec@1 40.625 (42.442) Prec@5 65.625 (67.941) Epoch: [14][380/10010] Time 0.319 (0.336) Data 0.001 (0.008) Loss 2.7583 (2.6596) Prec@1 39.062 (42.393) Prec@5 66.406 (67.920) Epoch: [14][390/10010] Time 0.328 (0.336) Data 0.001 (0.007) Loss 2.7682 (2.6599) Prec@1 45.312 (42.389) Prec@5 62.500 (67.881) Epoch: [14][400/10010] Time 0.332 (0.336) Data 0.000 (0.007) Loss 2.6310 (2.6596) Prec@1 42.969 (42.375) Prec@5 66.406 (67.871) Epoch: [14][410/10010] Time 0.339 (0.335) Data 0.001 (0.007) Loss 2.2834 (2.6584) Prec@1 51.562 (42.385) Prec@5 75.781 (67.874) Epoch: [14][420/10010] Time 0.331 (0.335) Data 0.001 (0.007) Loss 2.5951 (2.6571) Prec@1 44.531 (42.431) Prec@5 67.188 (67.870) Epoch: [14][430/10010] Time 0.334 (0.335) Data 0.001 (0.007) Loss 2.4658 (2.6585) Prec@1 44.531 (42.385) Prec@5 70.312 (67.856) Epoch: [14][440/10010] Time 0.339 (0.335) Data 0.000 (0.007) Loss 2.5274 (2.6589) Prec@1 36.719 (42.382) Prec@5 67.188 (67.859) Epoch: [14][450/10010] Time 0.342 (0.335) Data 0.001 (0.007) Loss 2.6937 (2.6584) Prec@1 42.969 (42.402) Prec@5 65.625 (67.873) Epoch: [14][460/10010] Time 0.341 (0.335) Data 0.001 (0.006) Loss 2.6747 (2.6603) Prec@1 44.531 (42.386) Prec@5 67.188 (67.838) Epoch: [14][470/10010] Time 0.333 (0.335) Data 0.001 (0.006) Loss 2.8052 (2.6612) Prec@1 39.844 (42.380) Prec@5 60.938 (67.808) Epoch: [14][480/10010] Time 0.329 (0.335) Data 0.000 (0.006) Loss 2.6245 (2.6603) Prec@1 46.094 (42.381) Prec@5 64.844 (67.832) Epoch: [14][490/10010] Time 0.346 (0.335) Data 0.000 (0.006) Loss 2.5599 (2.6600) Prec@1 40.625 (42.378) Prec@5 67.969 (67.830) Epoch: [14][500/10010] Time 0.337 (0.335) Data 0.000 (0.006) Loss 2.7477 (2.6585) Prec@1 43.750 (42.400) Prec@5 58.594 (67.819) Epoch: [14][510/10010] Time 0.321 (0.335) Data 0.000 (0.006) Loss 2.6237 (2.6569) Prec@1 45.312 (42.400) Prec@5 71.094 (67.820) Epoch: [14][520/10010] Time 0.318 (0.335) Data 0.001 (0.006) Loss 2.8700 (2.6571) Prec@1 37.500 (42.388) Prec@5 64.844 (67.799) Epoch: [14][530/10010] Time 0.331 (0.335) Data 0.001 (0.006) Loss 2.7441 (2.6591) Prec@1 41.406 (42.377) Prec@5 64.844 (67.763) Epoch: [14][540/10010] Time 0.325 (0.335) Data 0.000 (0.006) Loss 2.9654 (2.6590) Prec@1 39.062 (42.388) Prec@5 65.625 (67.771) Epoch: [14][550/10010] Time 0.341 (0.335) Data 0.000 (0.005) Loss 2.6974 (2.6591) Prec@1 42.188 (42.390) Prec@5 66.406 (67.753) Epoch: [14][560/10010] Time 0.347 (0.335) Data 0.001 (0.005) Loss 2.6731 (2.6617) Prec@1 43.750 (42.374) Prec@5 66.406 (67.690) Epoch: [14][570/10010] Time 0.322 (0.335) Data 0.000 (0.005) Loss 3.1624 (2.6622) Prec@1 28.125 (42.333) Prec@5 57.812 (67.666) Epoch: [14][580/10010] Time 0.325 (0.334) Data 0.000 (0.005) Loss 2.9752 (2.6628) Prec@1 34.375 (42.327) Prec@5 65.625 (67.674) Epoch: [14][590/10010] Time 0.321 (0.334) Data 0.001 (0.005) Loss 2.6124 (2.6638) Prec@1 35.156 (42.297) Prec@5 70.312 (67.653) Epoch: [14][600/10010] Time 0.342 (0.334) Data 0.000 (0.005) Loss 2.8502 (2.6647) Prec@1 35.938 (42.280) Prec@5 67.969 (67.641) Epoch: [14][610/10010] Time 0.333 (0.334) Data 0.000 (0.005) Loss 2.5683 (2.6650) Prec@1 44.531 (42.314) Prec@5 69.531 (67.648) Epoch: [14][620/10010] Time 0.347 (0.334) Data 0.000 (0.005) Loss 2.4654 (2.6660) Prec@1 47.656 (42.304) Prec@5 73.438 (67.625) Epoch: [14][630/10010] Time 0.332 (0.334) Data 0.001 (0.005) Loss 2.6961 (2.6668) Prec@1 39.844 (42.303) Prec@5 66.406 (67.631) Epoch: [14][640/10010] Time 0.340 (0.334) Data 0.001 (0.005) Loss 2.5541 (2.6665) Prec@1 47.656 (42.308) Prec@5 65.625 (67.617) /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)) /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: [14][650/10010] Time 0.325 (0.334) Data 0.000 (0.005) Loss 2.0935 (2.6655) Prec@1 53.125 (42.304) Prec@5 79.688 (67.633) Epoch: [14][660/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 2.6635 (2.6657) Prec@1 48.438 (42.309) Prec@5 69.531 (67.630) Epoch: [14][670/10010] Time 0.348 (0.334) Data 0.000 (0.005) Loss 2.6580 (2.6664) Prec@1 44.531 (42.290) Prec@5 67.188 (67.609) Epoch: [14][680/10010] Time 0.319 (0.334) Data 0.001 (0.005) Loss 2.6741 (2.6662) Prec@1 45.312 (42.315) Prec@5 65.625 (67.604) Epoch: [14][690/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 2.6637 (2.6669) Prec@1 39.844 (42.277) Prec@5 66.406 (67.604) Epoch: [14][700/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 2.7382 (2.6678) Prec@1 41.406 (42.262) Prec@5 63.281 (67.605) Epoch: [14][710/10010] Time 0.347 (0.334) Data 0.001 (0.004) Loss 2.5485 (2.6676) Prec@1 47.656 (42.245) Prec@5 67.969 (67.618) Epoch: [14][720/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.6481 (2.6692) Prec@1 43.750 (42.212) Prec@5 74.219 (67.603) Epoch: [14][730/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 2.5316 (2.6708) Prec@1 48.438 (42.174) Prec@5 69.531 (67.569) Epoch: [14][740/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 2.5171 (2.6710) Prec@1 45.312 (42.166) Prec@5 70.312 (67.549) Epoch: [14][750/10010] Time 0.312 (0.334) Data 0.000 (0.004) Loss 2.6537 (2.6701) Prec@1 47.656 (42.191) Prec@5 68.750 (67.557) Epoch: [14][760/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 2.6948 (2.6704) Prec@1 46.094 (42.176) Prec@5 70.312 (67.551) Epoch: [14][770/10010] Time 0.323 (0.334) Data 0.000 (0.004) Loss 2.8999 (2.6725) Prec@1 34.375 (42.139) Prec@5 60.938 (67.508) Epoch: [14][780/10010] Time 0.333 (0.334) Data 0.001 (0.004) Loss 2.8773 (2.6725) Prec@1 30.469 (42.126) Prec@5 61.719 (67.523) Epoch: [14][790/10010] Time 0.341 (0.334) Data 0.001 (0.004) Loss 2.6377 (2.6723) Prec@1 44.531 (42.124) Prec@5 64.844 (67.531) Epoch: [14][800/10010] Time 0.317 (0.334) Data 0.001 (0.004) Loss 2.4153 (2.6711) Prec@1 44.531 (42.130) Prec@5 69.531 (67.563) Epoch: [14][810/10010] Time 0.336 (0.334) Data 0.000 (0.004) Loss 2.6373 (2.6706) Prec@1 39.844 (42.145) Prec@5 69.531 (67.581) Epoch: [14][820/10010] Time 0.321 (0.334) Data 0.001 (0.004) Loss 3.0438 (2.6724) Prec@1 35.156 (42.125) Prec@5 58.594 (67.548) Epoch: [14][830/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.9145 (2.6725) Prec@1 42.969 (42.152) Prec@5 63.281 (67.555) Epoch: [14][840/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 2.8649 (2.6727) Prec@1 39.062 (42.127) Prec@5 60.156 (67.538) Epoch: [14][850/10010] Time 0.329 (0.334) Data 0.001 (0.004) Loss 2.6022 (2.6723) Prec@1 41.406 (42.140) Prec@5 67.969 (67.533) Epoch: [14][860/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 2.9568 (2.6718) Prec@1 37.500 (42.132) Prec@5 61.719 (67.536) Epoch: [14][870/10010] Time 0.329 (0.333) Data 0.001 (0.004) Loss 2.8995 (2.6724) Prec@1 40.625 (42.136) Prec@5 65.625 (67.535) Epoch: [14][880/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 2.8355 (2.6738) Prec@1 35.156 (42.108) Prec@5 64.062 (67.498) Epoch: [14][890/10010] Time 0.341 (0.333) Data 0.001 (0.004) Loss 3.0252 (2.6750) Prec@1 35.156 (42.104) Prec@5 61.719 (67.460) Epoch: [14][900/10010] Time 0.322 (0.333) Data 0.000 (0.004) Loss 2.1681 (2.6751) Prec@1 50.000 (42.108) Prec@5 75.781 (67.457) Epoch: [14][910/10010] Time 0.338 (0.333) Data 0.001 (0.004) Loss 2.9842 (2.6760) Prec@1 33.594 (42.080) Prec@5 62.500 (67.430) Epoch: [14][920/10010] Time 0.354 (0.333) Data 0.000 (0.004) Loss 2.7130 (2.6758) Prec@1 38.281 (42.076) Prec@5 64.062 (67.422) Epoch: [14][930/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.5601 (2.6753) Prec@1 35.156 (42.060) Prec@5 71.094 (67.437) Epoch: [14][940/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 2.7250 (2.6763) Prec@1 42.188 (42.031) Prec@5 67.188 (67.415) Epoch: [14][950/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.5159 (2.6767) Prec@1 48.438 (42.019) Prec@5 69.531 (67.418) Epoch: [14][960/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.4344 (2.6765) Prec@1 43.750 (42.013) Prec@5 71.094 (67.419) Epoch: [14][970/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 3.1141 (2.6779) Prec@1 40.625 (41.998) Prec@5 63.281 (67.396) Epoch: [14][980/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.7014 (2.6788) Prec@1 37.500 (41.988) Prec@5 61.719 (67.391) Epoch: [14][990/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 3.0454 (2.6792) Prec@1 35.156 (41.976) Prec@5 58.594 (67.388) Epoch: [14][1000/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.4840 (2.6798) Prec@1 42.188 (41.985) Prec@5 67.188 (67.370) Epoch: [14][1010/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.8059 (2.6795) Prec@1 42.188 (42.002) Prec@5 64.062 (67.388) Epoch: [14][1020/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.5950 (2.6808) Prec@1 42.969 (41.974) Prec@5 69.531 (67.373) Epoch: [14][1030/10010] Time 0.350 (0.333) Data 0.000 (0.003) Loss 2.7371 (2.6808) Prec@1 48.438 (41.987) Prec@5 65.625 (67.376) Epoch: [14][1040/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.5132 (2.6796) Prec@1 47.656 (41.993) Prec@5 70.312 (67.389) Epoch: [14][1050/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 3.2706 (2.6805) Prec@1 38.281 (41.985) Prec@5 59.375 (67.371) Epoch: [14][1060/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 2.7437 (2.6807) Prec@1 41.406 (41.989) Prec@5 71.094 (67.365) Epoch: [14][1070/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.5961 (2.6810) Prec@1 37.500 (41.977) Prec@5 68.750 (67.359) Epoch: [14][1080/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 3.1608 (2.6806) Prec@1 38.281 (41.983) Prec@5 51.562 (67.360) Epoch: [14][1090/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 2.5823 (2.6799) Prec@1 41.406 (41.999) Prec@5 71.875 (67.372) Epoch: [14][1100/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.7408 (2.6807) Prec@1 37.500 (41.986) Prec@5 69.531 (67.347) Epoch: [14][1110/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.4420 (2.6795) Prec@1 40.625 (42.001) Prec@5 69.531 (67.360) Epoch: [14][1120/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.9483 (2.6810) Prec@1 35.156 (41.975) Prec@5 61.719 (67.335) Epoch: [14][1130/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 2.4609 (2.6808) Prec@1 43.750 (41.976) Prec@5 75.000 (67.341) Epoch: [14][1140/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 2.5094 (2.6812) Prec@1 43.750 (41.969) Prec@5 67.969 (67.335) Epoch: [14][1150/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.5599 (2.6814) Prec@1 43.750 (41.960) Prec@5 69.531 (67.342) Epoch: [14][1160/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.8304 (2.6828) Prec@1 39.844 (41.935) Prec@5 63.281 (67.319) Epoch: [14][1170/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.3431 (2.6827) Prec@1 47.656 (41.933) Prec@5 70.312 (67.317) Epoch: [14][1180/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.7028 (2.6829) Prec@1 42.188 (41.933) Prec@5 68.750 (67.311) Epoch: [14][1190/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.3709 (2.6825) Prec@1 45.312 (41.922) Prec@5 71.875 (67.327) Epoch: [14][1200/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 3.0416 (2.6820) Prec@1 39.062 (41.938) Prec@5 57.812 (67.329) Epoch: [14][1210/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.3272 (2.6810) Prec@1 47.656 (41.946) Prec@5 75.000 (67.346) Epoch: [14][1220/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.4056 (2.6811) Prec@1 48.438 (41.945) Prec@5 69.531 (67.340) Epoch: [14][1230/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 2.6322 (2.6814) Prec@1 45.312 (41.946) Prec@5 61.719 (67.328) Epoch: [14][1240/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.7919 (2.6813) Prec@1 41.406 (41.953) Prec@5 67.188 (67.323) Epoch: [14][1250/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.2726 (2.6803) Prec@1 54.688 (41.974) Prec@5 74.219 (67.341) Epoch: [14][1260/10010] Time 0.348 (0.333) Data 0.000 (0.003) Loss 2.7479 (2.6802) Prec@1 44.531 (41.971) Prec@5 69.531 (67.341) Epoch: [14][1270/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.6667 (2.6793) Prec@1 43.750 (41.991) Prec@5 69.531 (67.354) Epoch: [14][1280/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.5755 (2.6795) Prec@1 44.531 (41.991) Prec@5 69.531 (67.351) Epoch: [14][1290/10010] Time 0.348 (0.333) Data 0.001 (0.003) Loss 2.8070 (2.6802) Prec@1 39.844 (41.980) Prec@5 66.406 (67.337) Epoch: [14][1300/10010] Time 0.347 (0.333) Data 0.000 (0.003) Loss 2.5653 (2.6810) Prec@1 40.625 (41.958) Prec@5 67.188 (67.325) Epoch: [14][1310/10010] Time 0.348 (0.333) Data 0.000 (0.003) Loss 2.5482 (2.6806) Prec@1 46.094 (41.968) Prec@5 67.969 (67.323) Epoch: [14][1320/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.6892 (2.6812) Prec@1 38.281 (41.957) Prec@5 61.719 (67.299) Epoch: [14][1330/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 2.7322 (2.6815) Prec@1 38.281 (41.953) Prec@5 68.750 (67.297) Epoch: [14][1340/10010] Time 0.316 (0.333) Data 0.001 (0.003) Loss 2.9835 (2.6814) Prec@1 36.719 (41.950) Prec@5 57.031 (67.292) Epoch: [14][1350/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.5096 (2.6806) Prec@1 49.219 (41.976) Prec@5 71.875 (67.315) Epoch: [14][1360/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.4991 (2.6806) Prec@1 43.750 (41.973) Prec@5 69.531 (67.309) Epoch: [14][1370/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 2.6766 (2.6806) Prec@1 38.281 (41.968) Prec@5 66.406 (67.319) Epoch: [14][1380/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.7238 (2.6819) Prec@1 45.312 (41.944) Prec@5 66.406 (67.294) Epoch: [14][1390/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.6577 (2.6824) Prec@1 42.969 (41.935) Prec@5 66.406 (67.281) Epoch: [14][1400/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.7198 (2.6828) Prec@1 40.625 (41.934) Prec@5 67.188 (67.267) Epoch: [14][1410/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.6181 (2.6821) Prec@1 48.438 (41.951) Prec@5 70.312 (67.281) Epoch: [14][1420/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.3955 (2.6822) Prec@1 42.188 (41.941) Prec@5 70.312 (67.275) Epoch: [14][1430/10010] Time 0.338 (0.333) Data 0.000 (0.003) Loss 2.8442 (2.6818) Prec@1 39.844 (41.945) Prec@5 64.844 (67.277) Epoch: [14][1440/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 2.6414 (2.6822) Prec@1 43.750 (41.945) Prec@5 67.969 (67.274) Epoch: [14][1450/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.6138 (2.6817) Prec@1 46.094 (41.955) Prec@5 68.750 (67.290) Epoch: [14][1460/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.7236 (2.6820) Prec@1 43.750 (41.963) Prec@5 64.844 (67.280) Epoch: [14][1470/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.6586 (2.6815) Prec@1 43.750 (41.969) Prec@5 65.625 (67.288) Epoch: [14][1480/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.3449 (2.6812) Prec@1 47.656 (41.970) Prec@5 71.875 (67.292) Epoch: [14][1490/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.8912 (2.6817) Prec@1 39.062 (41.971) Prec@5 65.625 (67.282) Epoch: [14][1500/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.4801 (2.6817) Prec@1 44.531 (41.976) Prec@5 70.312 (67.278) Epoch: [14][1510/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 3.0572 (2.6824) Prec@1 35.938 (41.969) Prec@5 53.125 (67.269) Epoch: [14][1520/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 3.1123 (2.6836) Prec@1 28.906 (41.944) Prec@5 62.500 (67.254) Epoch: [14][1530/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.7957 (2.6832) Prec@1 42.188 (41.946) Prec@5 62.500 (67.263) Epoch: [14][1540/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.3301 (2.6836) Prec@1 42.969 (41.934) Prec@5 70.312 (67.253) Epoch: [14][1550/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.7990 (2.6841) Prec@1 39.844 (41.933) Prec@5 65.625 (67.246) Epoch: [14][1560/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5047 (2.6842) Prec@1 42.969 (41.925) Prec@5 71.094 (67.246) Epoch: [14][1570/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.6164 (2.6846) Prec@1 38.281 (41.907) Prec@5 60.938 (67.236) Epoch: [14][1580/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.3786 (2.6844) Prec@1 46.094 (41.904) Prec@5 72.656 (67.236) Epoch: [14][1590/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.9968 (2.6844) Prec@1 37.500 (41.907) Prec@5 59.375 (67.248) Epoch: [14][1600/10010] Time 0.356 (0.332) Data 0.000 (0.002) Loss 2.6172 (2.6846) Prec@1 45.312 (41.916) Prec@5 68.750 (67.250) Epoch: [14][1610/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.8786 (2.6848) Prec@1 36.719 (41.908) Prec@5 62.500 (67.245) Epoch: [14][1620/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.5592 (2.6843) Prec@1 42.188 (41.911) Prec@5 68.750 (67.245) Epoch: [14][1630/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.5386 (2.6840) Prec@1 45.312 (41.908) Prec@5 69.531 (67.249) Epoch: [14][1640/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.6907 (2.6841) Prec@1 42.969 (41.902) Prec@5 67.188 (67.253) Epoch: [14][1650/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6382 (2.6838) Prec@1 43.750 (41.901) Prec@5 67.969 (67.259) Epoch: [14][1660/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.7082 (2.6839) Prec@1 39.844 (41.899) Prec@5 66.406 (67.259) Epoch: [14][1670/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.5861 (2.6829) Prec@1 45.312 (41.921) Prec@5 67.969 (67.276) Epoch: [14][1680/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 3.0163 (2.6831) Prec@1 34.375 (41.914) Prec@5 58.594 (67.270) Epoch: [14][1690/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.9982 (2.6832) Prec@1 39.062 (41.913) Prec@5 62.500 (67.260) Epoch: [14][1700/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.8591 (2.6828) Prec@1 39.062 (41.916) Prec@5 64.062 (67.261) Epoch: [14][1710/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.7954 (2.6833) Prec@1 41.406 (41.919) Prec@5 67.188 (67.253) Epoch: [14][1720/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.7298 (2.6835) Prec@1 41.406 (41.918) Prec@5 68.750 (67.251) Epoch: [14][1730/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.8070 (2.6838) Prec@1 36.719 (41.913) Prec@5 67.188 (67.244) Epoch: [14][1740/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6334 (2.6839) Prec@1 42.969 (41.910) Prec@5 68.750 (67.243) Epoch: [14][1750/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5150 (2.6834) Prec@1 46.875 (41.921) Prec@5 72.656 (67.260) Epoch: [14][1760/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.7686 (2.6834) Prec@1 40.625 (41.920) Prec@5 67.188 (67.261) Epoch: [14][1770/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.5491 (2.6828) Prec@1 44.531 (41.929) Prec@5 67.969 (67.267) Epoch: [14][1780/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.9393 (2.6828) Prec@1 39.844 (41.933) Prec@5 63.281 (67.262) Epoch: [14][1790/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.7848 (2.6830) Prec@1 43.750 (41.928) Prec@5 66.406 (67.257) Epoch: [14][1800/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.6446 (2.6833) Prec@1 42.188 (41.925) Prec@5 70.312 (67.257) Epoch: [14][1810/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7755 (2.6833) Prec@1 46.094 (41.930) Prec@5 66.406 (67.254) Epoch: [14][1820/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.3689 (2.6829) Prec@1 48.438 (41.935) Prec@5 75.000 (67.261) Epoch: [14][1830/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.7855 (2.6823) Prec@1 42.188 (41.946) Prec@5 66.406 (67.264) Epoch: [14][1840/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.6302 (2.6823) Prec@1 46.875 (41.955) Prec@5 67.188 (67.260) Epoch: [14][1850/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5723 (2.6827) Prec@1 46.875 (41.949) Prec@5 67.969 (67.255) Epoch: [14][1860/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.5356 (2.6833) Prec@1 49.219 (41.945) Prec@5 73.438 (67.255) Epoch: [14][1870/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 3.0071 (2.6837) Prec@1 35.938 (41.941) Prec@5 63.281 (67.251) Epoch: [14][1880/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5830 (2.6827) Prec@1 37.500 (41.959) Prec@5 75.000 (67.273) Epoch: [14][1890/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5677 (2.6823) Prec@1 45.312 (41.958) Prec@5 67.969 (67.285) Epoch: [14][1900/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.9091 (2.6831) Prec@1 39.062 (41.953) Prec@5 64.844 (67.269) Epoch: [14][1910/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.4805 (2.6832) Prec@1 46.094 (41.957) Prec@5 71.094 (67.268) Epoch: [14][1920/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.9839 (2.6835) Prec@1 38.281 (41.949) Prec@5 64.062 (67.268) Epoch: [14][1930/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.5436 (2.6838) Prec@1 43.750 (41.953) Prec@5 71.094 (67.264) Epoch: [14][1940/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.0490 (2.6839) Prec@1 38.281 (41.959) Prec@5 60.156 (67.263) Epoch: [14][1950/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.7241 (2.6839) Prec@1 34.375 (41.965) Prec@5 67.188 (67.266) Epoch: [14][1960/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5609 (2.6837) Prec@1 46.094 (41.977) Prec@5 71.094 (67.266) Epoch: [14][1970/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5880 (2.6839) Prec@1 45.312 (41.968) Prec@5 70.312 (67.268) Epoch: [14][1980/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.5425 (2.6841) Prec@1 45.312 (41.959) Prec@5 71.875 (67.261) Epoch: [14][1990/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.8677 (2.6846) Prec@1 39.062 (41.950) Prec@5 60.938 (67.251) Epoch: [14][2000/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.6368 (2.6846) Prec@1 45.312 (41.953) Prec@5 70.312 (67.251) Epoch: [14][2010/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.7298 (2.6846) Prec@1 42.188 (41.947) Prec@5 66.406 (67.252) Epoch: [14][2020/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.5109 (2.6846) Prec@1 46.875 (41.949) Prec@5 69.531 (67.252) Epoch: [14][2030/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.5586 (2.6846) Prec@1 45.312 (41.950) Prec@5 67.188 (67.257) Epoch: [14][2040/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.7332 (2.6850) Prec@1 44.531 (41.943) Prec@5 67.969 (67.256) Epoch: [14][2050/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.8028 (2.6852) Prec@1 38.281 (41.938) Prec@5 64.844 (67.253) Epoch: [14][2060/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5629 (2.6853) Prec@1 43.750 (41.940) Prec@5 64.844 (67.249) Epoch: [14][2070/10010] Time 0.336 (0.332) Data 0.003 (0.002) Loss 3.0269 (2.6859) Prec@1 32.031 (41.931) Prec@5 61.719 (67.231) Epoch: [14][2080/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.6733 (2.6855) Prec@1 42.188 (41.943) Prec@5 67.969 (67.239) Epoch: [14][2090/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.7380 (2.6859) Prec@1 39.062 (41.932) Prec@5 66.406 (67.227) Epoch: [14][2100/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.8235 (2.6866) Prec@1 39.062 (41.920) Prec@5 67.969 (67.216) Epoch: [14][2110/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.6626 (2.6870) Prec@1 41.406 (41.915) Prec@5 64.062 (67.208) Epoch: [14][2120/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.9374 (2.6876) Prec@1 39.062 (41.905) Prec@5 62.500 (67.203) Epoch: [14][2130/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.6275 (2.6876) Prec@1 42.188 (41.902) Prec@5 63.281 (67.197) Epoch: [14][2140/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.5519 (2.6879) Prec@1 41.406 (41.898) Prec@5 68.750 (67.194) Epoch: [14][2150/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.5541 (2.6878) Prec@1 48.438 (41.903) Prec@5 67.969 (67.196) Epoch: [14][2160/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.7218 (2.6880) Prec@1 33.594 (41.898) Prec@5 64.062 (67.193) Epoch: [14][2170/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7344 (2.6880) Prec@1 39.844 (41.896) Prec@5 66.406 (67.193) Epoch: [14][2180/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6554 (2.6882) Prec@1 45.312 (41.897) Prec@5 66.406 (67.191) Epoch: [14][2190/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.6879 (2.6879) Prec@1 42.969 (41.897) Prec@5 71.875 (67.204) Epoch: [14][2200/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5613 (2.6878) Prec@1 43.750 (41.902) Prec@5 70.312 (67.205) Epoch: [14][2210/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.4158 (2.6879) Prec@1 50.000 (41.906) Prec@5 74.219 (67.203) Epoch: [14][2220/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.4753 (2.6874) Prec@1 47.656 (41.907) Prec@5 72.656 (67.214) Epoch: [14][2230/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.0834 (2.6871) Prec@1 35.938 (41.916) Prec@5 61.719 (67.220) Epoch: [14][2240/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.3715 (2.6871) Prec@1 48.438 (41.915) Prec@5 72.656 (67.218) Epoch: [14][2250/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.8827 (2.6871) Prec@1 39.062 (41.915) Prec@5 60.938 (67.214) Epoch: [14][2260/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.5251 (2.6870) Prec@1 44.531 (41.919) Prec@5 69.531 (67.214) Epoch: [14][2270/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.7938 (2.6872) Prec@1 41.406 (41.911) Prec@5 64.062 (67.211) Epoch: [14][2280/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5143 (2.6870) Prec@1 45.312 (41.917) Prec@5 68.750 (67.217) Epoch: [14][2290/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6442 (2.6867) Prec@1 43.750 (41.924) Prec@5 67.969 (67.220) Epoch: [14][2300/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7175 (2.6866) Prec@1 42.969 (41.927) Prec@5 68.750 (67.219) Epoch: [14][2310/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.4715 (2.6862) Prec@1 48.438 (41.939) Prec@5 67.969 (67.224) Epoch: [14][2320/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6484 (2.6861) Prec@1 44.531 (41.942) Prec@5 67.188 (67.228) Epoch: [14][2330/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7561 (2.6862) Prec@1 37.500 (41.944) Prec@5 64.062 (67.221) Epoch: [14][2340/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5237 (2.6866) Prec@1 43.750 (41.936) Prec@5 70.312 (67.216) Epoch: [14][2350/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.4252 (2.6864) Prec@1 45.312 (41.941) Prec@5 75.781 (67.217) Epoch: [14][2360/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6064 (2.6865) Prec@1 43.750 (41.942) Prec@5 70.312 (67.216) Epoch: [14][2370/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 3.0512 (2.6869) Prec@1 32.812 (41.929) Prec@5 57.812 (67.203) Epoch: [14][2380/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7491 (2.6870) Prec@1 39.844 (41.926) Prec@5 65.625 (67.199) Epoch: [14][2390/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 3.0256 (2.6872) Prec@1 39.844 (41.919) Prec@5 57.812 (67.194) Epoch: [14][2400/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.8309 (2.6875) Prec@1 43.750 (41.918) Prec@5 65.625 (67.192) Epoch: [14][2410/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.6849 (2.6873) Prec@1 42.188 (41.918) Prec@5 67.188 (67.199) Epoch: [14][2420/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7849 (2.6872) Prec@1 42.188 (41.920) Prec@5 64.844 (67.202) Epoch: [14][2430/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7549 (2.6873) Prec@1 39.844 (41.920) Prec@5 61.719 (67.202) Epoch: [14][2440/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.4699 (2.6870) Prec@1 51.562 (41.930) Prec@5 70.312 (67.204) Epoch: [14][2450/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.7329 (2.6867) Prec@1 36.719 (41.933) Prec@5 69.531 (67.210) Epoch: [14][2460/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.2808 (2.6863) Prec@1 48.438 (41.937) Prec@5 74.219 (67.217) Epoch: [14][2470/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.4393 (2.6864) Prec@1 54.688 (41.939) Prec@5 74.219 (67.214) Epoch: [14][2480/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.6301 (2.6865) Prec@1 44.531 (41.937) Prec@5 69.531 (67.216) Epoch: [14][2490/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.5925 (2.6864) Prec@1 43.750 (41.938) Prec@5 67.188 (67.217) Epoch: [14][2500/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.4527 (2.6861) Prec@1 42.188 (41.946) Prec@5 68.750 (67.222) Epoch: [14][2510/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.5474 (2.6858) Prec@1 42.969 (41.943) Prec@5 69.531 (67.227) Epoch: [14][2520/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.7196 (2.6857) Prec@1 42.969 (41.945) Prec@5 64.062 (67.231) Epoch: [14][2530/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.9689 (2.6861) Prec@1 42.188 (41.933) Prec@5 62.500 (67.226) Epoch: [14][2540/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.7455 (2.6863) Prec@1 39.844 (41.927) Prec@5 68.750 (67.223) Epoch: [14][2550/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.3913 (2.6867) Prec@1 46.875 (41.923) Prec@5 68.750 (67.213) Epoch: [14][2560/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6833 (2.6867) Prec@1 39.062 (41.916) Prec@5 63.281 (67.214) Epoch: [14][2570/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.7110 (2.6866) Prec@1 42.188 (41.917) Prec@5 67.969 (67.217) Epoch: [14][2580/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.7769 (2.6866) Prec@1 42.969 (41.921) Prec@5 63.281 (67.213) Epoch: [14][2590/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8038 (2.6865) Prec@1 35.938 (41.919) Prec@5 61.719 (67.210) Epoch: [14][2600/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.9610 (2.6866) Prec@1 40.625 (41.916) Prec@5 64.062 (67.210) Epoch: [14][2610/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6921 (2.6863) Prec@1 42.969 (41.923) Prec@5 69.531 (67.215) Epoch: [14][2620/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.4669 (2.6862) Prec@1 40.625 (41.918) Prec@5 71.094 (67.212) Epoch: [14][2630/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7474 (2.6861) Prec@1 39.062 (41.920) Prec@5 67.969 (67.215) Epoch: [14][2640/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.9058 (2.6867) Prec@1 38.281 (41.910) Prec@5 64.062 (67.208) Epoch: [14][2650/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.7666 (2.6868) Prec@1 41.406 (41.909) Prec@5 71.094 (67.210) Epoch: [14][2660/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.4185 (2.6864) Prec@1 48.438 (41.914) Prec@5 76.562 (67.218) Epoch: [14][2670/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7550 (2.6863) Prec@1 41.406 (41.918) Prec@5 64.844 (67.217) Epoch: [14][2680/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6748 (2.6864) Prec@1 35.156 (41.912) Prec@5 63.281 (67.212) Epoch: [14][2690/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.6186 (2.6862) Prec@1 40.625 (41.917) Prec@5 71.094 (67.217) Epoch: [14][2700/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.7498 (2.6860) Prec@1 42.969 (41.920) Prec@5 64.844 (67.222) Epoch: [14][2710/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.5078 (2.6859) Prec@1 36.719 (41.923) Prec@5 67.969 (67.226) /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: [14][2720/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6944 (2.6862) Prec@1 37.500 (41.919) Prec@5 68.750 (67.223) Epoch: [14][2730/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5098 (2.6860) Prec@1 48.438 (41.926) Prec@5 71.875 (67.222) Epoch: [14][2740/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.3176 (2.6860) Prec@1 48.438 (41.923) Prec@5 71.875 (67.223) Epoch: [14][2750/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.4346 (2.6860) Prec@1 48.438 (41.927) Prec@5 72.656 (67.226) Epoch: [14][2760/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.6687 (2.6862) Prec@1 42.188 (41.922) Prec@5 67.188 (67.222) Epoch: [14][2770/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7794 (2.6865) Prec@1 42.969 (41.915) Prec@5 63.281 (67.216) Epoch: [14][2780/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.8066 (2.6868) Prec@1 42.969 (41.908) Prec@5 64.062 (67.209) Epoch: [14][2790/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.8976 (2.6867) Prec@1 37.500 (41.912) Prec@5 67.188 (67.210) Epoch: [14][2800/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.4080 (2.6867) Prec@1 53.125 (41.916) Prec@5 71.875 (67.210) Epoch: [14][2810/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6612 (2.6870) Prec@1 42.969 (41.913) Prec@5 62.500 (67.202) Epoch: [14][2820/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.4452 (2.6872) Prec@1 44.531 (41.915) Prec@5 72.656 (67.201) Epoch: [14][2830/10010] Time 0.315 (0.332) Data 0.000 (0.002) Loss 2.8054 (2.6873) Prec@1 37.500 (41.907) Prec@5 61.719 (67.202) Epoch: [14][2840/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7283 (2.6874) Prec@1 42.969 (41.913) Prec@5 64.062 (67.202) Epoch: [14][2850/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.5038 (2.6877) Prec@1 46.094 (41.906) Prec@5 68.750 (67.195) Epoch: [14][2860/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.6643 (2.6873) Prec@1 40.625 (41.915) Prec@5 72.656 (67.198) Epoch: [14][2870/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.2186 (2.6873) Prec@1 50.000 (41.913) Prec@5 79.688 (67.205) Epoch: [14][2880/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 3.1470 (2.6872) Prec@1 35.156 (41.915) Prec@5 55.469 (67.208) Epoch: [14][2890/10010] Time 0.345 (0.331) Data 0.001 (0.002) Loss 2.6341 (2.6869) Prec@1 39.062 (41.918) Prec@5 69.531 (67.211) Epoch: [14][2900/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.8313 (2.6870) Prec@1 41.406 (41.918) Prec@5 62.500 (67.209) Epoch: [14][2910/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.4594 (2.6869) Prec@1 46.094 (41.922) Prec@5 72.656 (67.217) Epoch: [14][2920/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.6711 (2.6871) Prec@1 42.969 (41.923) Prec@5 67.188 (67.215) Epoch: [14][2930/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.4691 (2.6866) Prec@1 45.312 (41.931) Prec@5 71.875 (67.224) Epoch: [14][2940/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.8915 (2.6868) Prec@1 42.969 (41.928) Prec@5 66.406 (67.217) Epoch: [14][2950/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.5397 (2.6870) Prec@1 42.969 (41.927) Prec@5 67.969 (67.213) Epoch: [14][2960/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.7439 (2.6872) Prec@1 38.281 (41.925) Prec@5 65.625 (67.211) Epoch: [14][2970/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.6773 (2.6872) Prec@1 43.750 (41.925) Prec@5 67.969 (67.207) Epoch: [14][2980/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.9235 (2.6876) Prec@1 43.750 (41.923) Prec@5 63.281 (67.202) Epoch: [14][2990/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 2.6936 (2.6876) Prec@1 40.625 (41.921) Prec@5 66.406 (67.209) Epoch: [14][3000/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.9402 (2.6876) Prec@1 37.500 (41.926) Prec@5 63.281 (67.212) Epoch: [14][3010/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 3.2212 (2.6878) Prec@1 32.812 (41.923) Prec@5 58.594 (67.211) Epoch: [14][3020/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.6876 (2.6874) Prec@1 45.312 (41.933) Prec@5 64.844 (67.218) Epoch: [14][3030/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.5683 (2.6872) Prec@1 42.969 (41.934) Prec@5 70.312 (67.222) Epoch: [14][3040/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 2.5276 (2.6876) Prec@1 50.781 (41.930) Prec@5 69.531 (67.217) Epoch: [14][3050/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.8910 (2.6876) Prec@1 36.719 (41.931) Prec@5 67.969 (67.216) Epoch: [14][3060/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.1426 (2.6878) Prec@1 34.375 (41.933) Prec@5 62.500 (67.211) Epoch: [14][3070/10010] Time 0.348 (0.331) Data 0.000 (0.002) Loss 2.5196 (2.6879) Prec@1 47.656 (41.929) Prec@5 66.406 (67.207) Epoch: [14][3080/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.9108 (2.6882) Prec@1 35.156 (41.926) Prec@5 62.500 (67.201) Epoch: [14][3090/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.5206 (2.6883) Prec@1 46.875 (41.925) Prec@5 71.875 (67.205) Epoch: [14][3100/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.5758 (2.6883) Prec@1 46.875 (41.925) Prec@5 69.531 (67.204) Epoch: [14][3110/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8564 (2.6885) Prec@1 38.281 (41.925) Prec@5 63.281 (67.202) Epoch: [14][3120/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7088 (2.6887) Prec@1 39.844 (41.919) Prec@5 69.531 (67.199) Epoch: [14][3130/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7078 (2.6889) Prec@1 46.094 (41.918) Prec@5 66.406 (67.192) Epoch: [14][3140/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6425 (2.6890) Prec@1 42.188 (41.920) Prec@5 67.188 (67.192) Epoch: [14][3150/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6634 (2.6888) Prec@1 36.719 (41.919) Prec@5 67.969 (67.197) Epoch: [14][3160/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3114 (2.6889) Prec@1 45.312 (41.916) Prec@5 71.875 (67.197) Epoch: [14][3170/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9520 (2.6890) Prec@1 35.938 (41.916) Prec@5 60.938 (67.193) Epoch: [14][3180/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7004 (2.6891) Prec@1 41.406 (41.908) Prec@5 67.969 (67.192) Epoch: [14][3190/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8803 (2.6898) Prec@1 42.969 (41.897) Prec@5 64.062 (67.181) Epoch: [14][3200/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7550 (2.6900) Prec@1 42.969 (41.896) Prec@5 67.969 (67.181) Epoch: [14][3210/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8512 (2.6905) Prec@1 35.938 (41.885) Prec@5 66.406 (67.173) Epoch: [14][3220/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9643 (2.6905) Prec@1 36.719 (41.883) Prec@5 63.281 (67.174) Epoch: [14][3230/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5524 (2.6906) Prec@1 44.531 (41.880) Prec@5 74.219 (67.177) Epoch: [14][3240/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5847 (2.6906) Prec@1 35.156 (41.877) Prec@5 67.188 (67.176) Epoch: [14][3250/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8460 (2.6909) Prec@1 42.969 (41.873) Prec@5 67.188 (67.169) Epoch: [14][3260/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6057 (2.6913) Prec@1 41.406 (41.873) Prec@5 65.625 (67.163) Epoch: [14][3270/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7501 (2.6915) Prec@1 41.406 (41.873) Prec@5 66.406 (67.161) Epoch: [14][3280/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7711 (2.6918) Prec@1 46.875 (41.868) Prec@5 63.281 (67.155) Epoch: [14][3290/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 3.0179 (2.6920) Prec@1 34.375 (41.864) Prec@5 61.719 (67.152) Epoch: [14][3300/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5430 (2.6922) Prec@1 42.188 (41.863) Prec@5 71.094 (67.147) Epoch: [14][3310/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4447 (2.6922) Prec@1 46.875 (41.862) Prec@5 71.094 (67.147) Epoch: [14][3320/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8174 (2.6925) Prec@1 44.531 (41.862) Prec@5 64.844 (67.147) Epoch: [14][3330/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.1220 (2.6924) Prec@1 34.375 (41.860) Prec@5 55.469 (67.147) Epoch: [14][3340/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.9748 (2.6926) Prec@1 39.844 (41.858) Prec@5 60.938 (67.139) Epoch: [14][3350/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5482 (2.6923) Prec@1 42.188 (41.862) Prec@5 75.000 (67.143) Epoch: [14][3360/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3824 (2.6924) Prec@1 46.875 (41.863) Prec@5 69.531 (67.138) Epoch: [14][3370/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9545 (2.6926) Prec@1 36.719 (41.862) Prec@5 62.500 (67.136) Epoch: [14][3380/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6268 (2.6925) Prec@1 44.531 (41.862) Prec@5 67.969 (67.138) Epoch: [14][3390/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3722 (2.6922) Prec@1 46.875 (41.869) Prec@5 71.875 (67.140) Epoch: [14][3400/10010] Time 0.332 (0.331) Data 0.004 (0.001) Loss 2.8276 (2.6924) Prec@1 31.250 (41.863) Prec@5 68.750 (67.141) Epoch: [14][3410/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9641 (2.6925) Prec@1 38.281 (41.866) Prec@5 60.156 (67.137) Epoch: [14][3420/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5723 (2.6922) Prec@1 39.844 (41.866) Prec@5 64.844 (67.141) Epoch: [14][3430/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9886 (2.6923) Prec@1 39.844 (41.870) Prec@5 59.375 (67.139) Epoch: [14][3440/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8167 (2.6920) Prec@1 41.406 (41.878) Prec@5 67.188 (67.146) Epoch: [14][3450/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9026 (2.6920) Prec@1 38.281 (41.880) Prec@5 64.062 (67.146) Epoch: [14][3460/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6858 (2.6918) Prec@1 39.844 (41.880) Prec@5 64.062 (67.147) Epoch: [14][3470/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0704 (2.6922) Prec@1 39.844 (41.873) Prec@5 62.500 (67.145) Epoch: [14][3480/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0069 (2.6924) Prec@1 36.719 (41.874) Prec@5 58.594 (67.137) Epoch: [14][3490/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5192 (2.6921) Prec@1 44.531 (41.879) Prec@5 71.875 (67.139) Epoch: [14][3500/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7039 (2.6921) Prec@1 41.406 (41.880) Prec@5 70.312 (67.141) Epoch: [14][3510/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5019 (2.6924) Prec@1 44.531 (41.874) Prec@5 71.875 (67.137) Epoch: [14][3520/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9034 (2.6926) Prec@1 39.062 (41.868) Prec@5 61.719 (67.135) Epoch: [14][3530/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8040 (2.6929) Prec@1 42.188 (41.864) Prec@5 65.625 (67.130) Epoch: [14][3540/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.5442 (2.6929) Prec@1 48.438 (41.867) Prec@5 71.094 (67.128) Epoch: [14][3550/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6686 (2.6925) Prec@1 40.625 (41.872) Prec@5 71.094 (67.136) Epoch: [14][3560/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.9388 (2.6924) Prec@1 36.719 (41.878) Prec@5 67.188 (67.141) Epoch: [14][3570/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5783 (2.6923) Prec@1 45.312 (41.878) Prec@5 71.094 (67.145) Epoch: [14][3580/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5011 (2.6923) Prec@1 40.625 (41.878) Prec@5 72.656 (67.148) Epoch: [14][3590/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7364 (2.6924) Prec@1 39.844 (41.879) Prec@5 62.500 (67.148) Epoch: [14][3600/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7203 (2.6925) Prec@1 39.844 (41.872) Prec@5 67.188 (67.141) Epoch: [14][3610/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4952 (2.6925) Prec@1 48.438 (41.871) Prec@5 68.750 (67.143) Epoch: [14][3620/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.5232 (2.6925) Prec@1 45.312 (41.870) Prec@5 71.094 (67.143) Epoch: [14][3630/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6723 (2.6926) Prec@1 42.188 (41.866) Prec@5 67.969 (67.141) Epoch: [14][3640/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8831 (2.6926) Prec@1 35.156 (41.870) Prec@5 64.062 (67.145) Epoch: [14][3650/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.4102 (2.6924) Prec@1 44.531 (41.874) Prec@5 74.219 (67.149) Epoch: [14][3660/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7415 (2.6922) Prec@1 42.969 (41.880) Prec@5 65.625 (67.149) Epoch: [14][3670/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8506 (2.6924) Prec@1 37.500 (41.880) Prec@5 64.844 (67.141) Epoch: [14][3680/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9753 (2.6922) Prec@1 53.906 (41.877) Prec@5 78.906 (67.140) Epoch: [14][3690/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7792 (2.6925) Prec@1 39.062 (41.875) Prec@5 67.969 (67.141) Epoch: [14][3700/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8879 (2.6923) Prec@1 39.062 (41.882) Prec@5 64.062 (67.143) Epoch: [14][3710/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4894 (2.6926) Prec@1 46.094 (41.872) Prec@5 71.875 (67.139) Epoch: [14][3720/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4189 (2.6926) Prec@1 50.781 (41.874) Prec@5 70.312 (67.140) Epoch: [14][3730/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0152 (2.6926) Prec@1 36.719 (41.873) Prec@5 61.719 (67.141) Epoch: [14][3740/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7956 (2.6924) Prec@1 39.062 (41.874) Prec@5 64.844 (67.143) Epoch: [14][3750/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4444 (2.6922) Prec@1 42.969 (41.874) Prec@5 68.750 (67.146) Epoch: [14][3760/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9055 (2.6921) Prec@1 40.625 (41.881) Prec@5 60.938 (67.148) Epoch: [14][3770/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.1899 (2.6922) Prec@1 39.062 (41.884) Prec@5 58.594 (67.147) /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: [14][3780/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.8989 (2.6925) Prec@1 40.625 (41.881) Prec@5 63.281 (67.142) Epoch: [14][3790/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.1025 (2.6926) Prec@1 38.281 (41.878) Prec@5 59.375 (67.141) Epoch: [14][3800/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6103 (2.6929) Prec@1 42.969 (41.871) Prec@5 72.656 (67.138) Epoch: [14][3810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9541 (2.6929) Prec@1 42.188 (41.873) Prec@5 67.188 (67.142) Epoch: [14][3820/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9273 (2.6930) Prec@1 44.531 (41.873) Prec@5 64.844 (67.139) Epoch: [14][3830/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6089 (2.6930) Prec@1 44.531 (41.872) Prec@5 66.406 (67.137) Epoch: [14][3840/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5192 (2.6928) Prec@1 44.531 (41.879) Prec@5 68.750 (67.140) Epoch: [14][3850/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7936 (2.6928) Prec@1 44.531 (41.876) Prec@5 67.188 (67.139) Epoch: [14][3860/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5706 (2.6927) Prec@1 41.406 (41.876) Prec@5 66.406 (67.138) Epoch: [14][3870/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6246 (2.6926) Prec@1 42.969 (41.875) Prec@5 67.188 (67.139) Epoch: [14][3880/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6092 (2.6927) Prec@1 45.312 (41.878) Prec@5 68.750 (67.142) Epoch: [14][3890/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7677 (2.6928) Prec@1 39.062 (41.877) Prec@5 67.188 (67.139) Epoch: [14][3900/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5321 (2.6927) Prec@1 43.750 (41.879) Prec@5 67.188 (67.140) Epoch: [14][3910/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8178 (2.6927) Prec@1 41.406 (41.882) Prec@5 67.188 (67.137) Epoch: [14][3920/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4348 (2.6925) Prec@1 46.875 (41.887) Prec@5 66.406 (67.139) Epoch: [14][3930/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5045 (2.6924) Prec@1 42.969 (41.886) Prec@5 69.531 (67.140) Epoch: [14][3940/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8616 (2.6927) Prec@1 35.938 (41.881) Prec@5 66.406 (67.133) Epoch: [14][3950/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5516 (2.6927) Prec@1 45.312 (41.883) Prec@5 71.094 (67.132) Epoch: [14][3960/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6487 (2.6928) Prec@1 41.406 (41.880) Prec@5 66.406 (67.128) Epoch: [14][3970/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.1307 (2.6930) Prec@1 33.594 (41.881) Prec@5 59.375 (67.123) Epoch: [14][3980/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0446 (2.6932) Prec@1 31.250 (41.874) Prec@5 63.281 (67.123) Epoch: [14][3990/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4378 (2.6931) Prec@1 46.875 (41.877) Prec@5 70.312 (67.123) Epoch: [14][4000/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5104 (2.6928) Prec@1 45.312 (41.879) Prec@5 64.844 (67.125) Epoch: [14][4010/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9747 (2.6928) Prec@1 34.375 (41.877) Prec@5 63.281 (67.126) Epoch: [14][4020/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8785 (2.6927) Prec@1 35.156 (41.873) Prec@5 62.500 (67.127) Epoch: [14][4030/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6950 (2.6930) Prec@1 44.531 (41.868) Prec@5 66.406 (67.124) Epoch: [14][4040/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7187 (2.6929) Prec@1 45.312 (41.872) Prec@5 63.281 (67.128) Epoch: [14][4050/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8845 (2.6929) Prec@1 39.844 (41.873) Prec@5 64.062 (67.125) Epoch: [14][4060/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7759 (2.6929) Prec@1 39.844 (41.873) Prec@5 64.062 (67.126) Epoch: [14][4070/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.0877 (2.6931) Prec@1 35.938 (41.870) Prec@5 60.156 (67.124) Epoch: [14][4080/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 3.0072 (2.6934) Prec@1 38.281 (41.866) Prec@5 64.844 (67.120) Epoch: [14][4090/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7260 (2.6935) Prec@1 45.312 (41.861) Prec@5 68.750 (67.119) Epoch: [14][4100/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9130 (2.6938) Prec@1 39.844 (41.857) Prec@5 64.062 (67.113) Epoch: [14][4110/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7636 (2.6938) Prec@1 39.062 (41.853) Prec@5 63.281 (67.110) Epoch: [14][4120/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.0986 (2.6937) Prec@1 37.500 (41.854) Prec@5 56.250 (67.111) Epoch: [14][4130/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5819 (2.6936) Prec@1 42.969 (41.854) Prec@5 66.406 (67.113) Epoch: [14][4140/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5830 (2.6937) Prec@1 46.094 (41.851) Prec@5 68.750 (67.113) Epoch: [14][4150/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8304 (2.6937) Prec@1 44.531 (41.853) Prec@5 64.844 (67.114) Epoch: [14][4160/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5255 (2.6938) Prec@1 42.969 (41.852) Prec@5 75.000 (67.113) Epoch: [14][4170/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7028 (2.6938) Prec@1 46.094 (41.851) Prec@5 67.969 (67.113) Epoch: [14][4180/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7632 (2.6941) Prec@1 39.844 (41.848) Prec@5 60.156 (67.106) Epoch: [14][4190/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0010 (2.6943) Prec@1 39.062 (41.842) Prec@5 64.062 (67.101) Epoch: [14][4200/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7944 (2.6940) Prec@1 43.750 (41.847) Prec@5 67.188 (67.107) Epoch: [14][4210/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7985 (2.6940) Prec@1 42.188 (41.849) Prec@5 63.281 (67.105) Epoch: [14][4220/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6840 (2.6940) Prec@1 37.500 (41.848) Prec@5 69.531 (67.105) Epoch: [14][4230/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8169 (2.6941) Prec@1 37.500 (41.848) Prec@5 62.500 (67.103) Epoch: [14][4240/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7937 (2.6943) Prec@1 42.188 (41.845) Prec@5 68.750 (67.102) Epoch: [14][4250/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0665 (2.6946) Prec@1 34.375 (41.838) Prec@5 63.281 (67.099) Epoch: [14][4260/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7209 (2.6944) Prec@1 43.750 (41.839) Prec@5 65.625 (67.097) Epoch: [14][4270/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.1274 (2.6946) Prec@1 31.250 (41.838) Prec@5 59.375 (67.098) Epoch: [14][4280/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1755 (2.6945) Prec@1 28.906 (41.841) Prec@5 57.812 (67.096) Epoch: [14][4290/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8017 (2.6945) Prec@1 37.500 (41.841) Prec@5 65.625 (67.097) Epoch: [14][4300/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7078 (2.6946) Prec@1 39.062 (41.843) Prec@5 68.750 (67.095) Epoch: [14][4310/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6480 (2.6944) Prec@1 41.406 (41.847) Prec@5 65.625 (67.099) Epoch: [14][4320/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7499 (2.6943) Prec@1 35.938 (41.842) Prec@5 64.844 (67.096) Epoch: [14][4330/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7835 (2.6945) Prec@1 41.406 (41.841) Prec@5 68.750 (67.093) Epoch: [14][4340/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9517 (2.6945) Prec@1 37.500 (41.843) Prec@5 64.844 (67.094) Epoch: [14][4350/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5310 (2.6945) Prec@1 47.656 (41.847) Prec@5 67.188 (67.093) Epoch: [14][4360/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8753 (2.6945) Prec@1 39.062 (41.846) Prec@5 63.281 (67.093) Epoch: [14][4370/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6051 (2.6948) Prec@1 46.875 (41.845) Prec@5 67.188 (67.086) Epoch: [14][4380/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5203 (2.6946) Prec@1 45.312 (41.845) Prec@5 70.312 (67.088) Epoch: [14][4390/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.5479 (2.6946) Prec@1 43.750 (41.847) Prec@5 69.531 (67.091) Epoch: [14][4400/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8792 (2.6948) Prec@1 39.062 (41.844) Prec@5 61.719 (67.086) Epoch: [14][4410/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0437 (2.6947) Prec@1 54.688 (41.847) Prec@5 78.125 (67.086) Epoch: [14][4420/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5978 (2.6949) Prec@1 42.969 (41.844) Prec@5 69.531 (67.084) Epoch: [14][4430/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4880 (2.6951) Prec@1 44.531 (41.841) Prec@5 70.312 (67.083) Epoch: [14][4440/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4997 (2.6951) Prec@1 44.531 (41.842) Prec@5 67.969 (67.080) Epoch: [14][4450/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9814 (2.6950) Prec@1 37.500 (41.845) Prec@5 61.719 (67.084) Epoch: [14][4460/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6764 (2.6947) Prec@1 42.969 (41.851) Prec@5 65.625 (67.088) Epoch: [14][4470/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.7692 (2.6949) Prec@1 40.625 (41.851) Prec@5 65.625 (67.088) Epoch: [14][4480/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9269 (2.6949) Prec@1 31.250 (41.850) Prec@5 58.594 (67.086) Epoch: [14][4490/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7798 (2.6949) Prec@1 38.281 (41.845) Prec@5 65.625 (67.087) Epoch: [14][4500/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7184 (2.6950) Prec@1 40.625 (41.844) Prec@5 68.750 (67.085) Epoch: [14][4510/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.3934 (2.6948) Prec@1 42.188 (41.844) Prec@5 75.781 (67.089) Epoch: [14][4520/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8386 (2.6950) Prec@1 44.531 (41.844) Prec@5 66.406 (67.085) Epoch: [14][4530/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8738 (2.6950) Prec@1 42.188 (41.847) Prec@5 64.844 (67.085) Epoch: [14][4540/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9138 (2.6952) Prec@1 38.281 (41.843) Prec@5 62.500 (67.077) Epoch: [14][4550/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7762 (2.6951) Prec@1 42.188 (41.845) Prec@5 69.531 (67.081) Epoch: [14][4560/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.7187 (2.6950) Prec@1 44.531 (41.848) Prec@5 67.969 (67.082) Epoch: [14][4570/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5620 (2.6951) Prec@1 47.656 (41.851) Prec@5 67.188 (67.081) Epoch: [14][4580/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6660 (2.6950) Prec@1 40.625 (41.855) Prec@5 67.188 (67.082) Epoch: [14][4590/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9961 (2.6950) Prec@1 37.500 (41.858) Prec@5 62.500 (67.081) Epoch: [14][4600/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4619 (2.6947) Prec@1 42.969 (41.860) Prec@5 71.875 (67.085) Epoch: [14][4610/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6266 (2.6947) Prec@1 40.625 (41.861) Prec@5 68.750 (67.086) Epoch: [14][4620/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8928 (2.6949) Prec@1 41.406 (41.860) Prec@5 63.281 (67.081) Epoch: [14][4630/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5775 (2.6949) Prec@1 47.656 (41.862) Prec@5 68.750 (67.082) Epoch: [14][4640/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6188 (2.6947) Prec@1 45.312 (41.866) Prec@5 64.062 (67.083) Epoch: [14][4650/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4721 (2.6945) Prec@1 42.969 (41.870) Prec@5 74.219 (67.083) Epoch: [14][4660/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8817 (2.6947) Prec@1 39.062 (41.863) Prec@5 64.062 (67.078) Epoch: [14][4670/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9868 (2.6947) Prec@1 41.406 (41.866) Prec@5 64.062 (67.080) Epoch: [14][4680/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7360 (2.6946) Prec@1 38.281 (41.866) Prec@5 69.531 (67.082) Epoch: [14][4690/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7956 (2.6946) Prec@1 39.844 (41.863) Prec@5 63.281 (67.084) Epoch: [14][4700/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.5613 (2.6946) Prec@1 42.188 (41.866) Prec@5 75.781 (67.085) Epoch: [14][4710/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6067 (2.6947) Prec@1 45.312 (41.863) Prec@5 67.188 (67.081) Epoch: [14][4720/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4075 (2.6946) Prec@1 43.750 (41.862) Prec@5 72.656 (67.082) Epoch: [14][4730/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7038 (2.6948) Prec@1 39.844 (41.862) Prec@5 67.969 (67.082) Epoch: [14][4740/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8264 (2.6950) Prec@1 42.188 (41.861) Prec@5 65.625 (67.080) Epoch: [14][4750/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.2634 (2.6953) Prec@1 35.938 (41.857) Prec@5 57.031 (67.074) Epoch: [14][4760/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6085 (2.6952) Prec@1 42.188 (41.858) Prec@5 72.656 (67.078) Epoch: [14][4770/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5218 (2.6951) Prec@1 46.875 (41.858) Prec@5 69.531 (67.079) Epoch: [14][4780/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7332 (2.6952) Prec@1 41.406 (41.853) Prec@5 68.750 (67.076) Epoch: [14][4790/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7816 (2.6951) Prec@1 43.750 (41.855) Prec@5 64.062 (67.077) Epoch: [14][4800/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.1173 (2.6953) Prec@1 35.938 (41.851) Prec@5 54.688 (67.073) Epoch: [14][4810/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4844 (2.6954) Prec@1 47.656 (41.850) Prec@5 70.312 (67.073) Epoch: [14][4820/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6146 (2.6956) Prec@1 43.750 (41.852) Prec@5 71.094 (67.072) Epoch: [14][4830/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6941 (2.6956) Prec@1 42.188 (41.848) Prec@5 62.500 (67.069) Epoch: [14][4840/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5489 (2.6955) Prec@1 45.312 (41.853) Prec@5 67.188 (67.069) Epoch: [14][4850/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7409 (2.6951) Prec@1 39.844 (41.859) Prec@5 66.406 (67.078) Epoch: [14][4860/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3959 (2.6952) Prec@1 49.219 (41.854) Prec@5 70.312 (67.076) Epoch: [14][4870/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.0582 (2.6954) Prec@1 39.844 (41.850) Prec@5 60.938 (67.073) Epoch: [14][4880/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8100 (2.6958) Prec@1 39.062 (41.844) Prec@5 64.844 (67.069) Epoch: [14][4890/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4680 (2.6959) Prec@1 46.875 (41.842) Prec@5 71.094 (67.064) Epoch: [14][4900/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9270 (2.6960) Prec@1 35.156 (41.839) Prec@5 61.719 (67.064) Epoch: [14][4910/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.5284 (2.6961) Prec@1 49.219 (41.843) Prec@5 69.531 (67.063) Epoch: [14][4920/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7131 (2.6960) Prec@1 44.531 (41.844) Prec@5 68.750 (67.064) Epoch: [14][4930/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6462 (2.6959) Prec@1 42.188 (41.846) Prec@5 69.531 (67.067) Epoch: [14][4940/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5930 (2.6961) Prec@1 42.969 (41.846) Prec@5 67.188 (67.063) Epoch: [14][4950/10010] Time 0.309 (0.331) Data 0.001 (0.001) Loss 2.7398 (2.6962) Prec@1 39.844 (41.845) Prec@5 64.844 (67.060) Epoch: [14][4960/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5057 (2.6960) Prec@1 41.406 (41.845) Prec@5 68.750 (67.064) Epoch: [14][4970/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6128 (2.6959) Prec@1 45.312 (41.848) Prec@5 71.875 (67.066) Epoch: [14][4980/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5746 (2.6957) Prec@1 46.875 (41.850) Prec@5 70.312 (67.068) Epoch: [14][4990/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8448 (2.6957) Prec@1 34.375 (41.848) Prec@5 65.625 (67.068) Epoch: [14][5000/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.5417 (2.6955) Prec@1 42.188 (41.854) Prec@5 65.625 (67.071) Epoch: [14][5010/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.2070 (2.6958) Prec@1 37.500 (41.852) Prec@5 57.812 (67.067) Epoch: [14][5020/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9104 (2.6957) Prec@1 40.625 (41.854) Prec@5 60.938 (67.068) Epoch: [14][5030/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9265 (2.6958) Prec@1 35.938 (41.851) Prec@5 61.719 (67.069) Epoch: [14][5040/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7977 (2.6957) Prec@1 38.281 (41.853) Prec@5 69.531 (67.073) Epoch: [14][5050/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7680 (2.6956) Prec@1 40.625 (41.855) Prec@5 65.625 (67.073) Epoch: [14][5060/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7830 (2.6957) Prec@1 39.062 (41.854) Prec@5 64.062 (67.070) Epoch: [14][5070/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.3682 (2.6958) Prec@1 46.875 (41.854) Prec@5 75.000 (67.071) Epoch: [14][5080/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5902 (2.6957) Prec@1 43.750 (41.855) Prec@5 70.312 (67.074) Epoch: [14][5090/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7678 (2.6958) Prec@1 42.188 (41.860) Prec@5 65.625 (67.074) Epoch: [14][5100/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3760 (2.6956) Prec@1 47.656 (41.861) Prec@5 72.656 (67.079) Epoch: [14][5110/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7006 (2.6954) Prec@1 39.062 (41.863) Prec@5 65.625 (67.084) Epoch: [14][5120/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8226 (2.6954) Prec@1 36.719 (41.860) Prec@5 63.281 (67.084) Epoch: [14][5130/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9040 (2.6955) Prec@1 36.719 (41.858) Prec@5 59.375 (67.082) Epoch: [14][5140/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5008 (2.6955) Prec@1 43.750 (41.858) Prec@5 70.312 (67.083) Epoch: [14][5150/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4506 (2.6954) Prec@1 48.438 (41.860) Prec@5 66.406 (67.085) Epoch: [14][5160/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.4269 (2.6955) Prec@1 42.969 (41.855) Prec@5 71.094 (67.082) Epoch: [14][5170/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7006 (2.6956) Prec@1 44.531 (41.853) Prec@5 64.062 (67.081) Epoch: [14][5180/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.2838 (2.6957) Prec@1 34.375 (41.853) Prec@5 61.719 (67.082) Epoch: [14][5190/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7364 (2.6958) Prec@1 39.844 (41.851) Prec@5 66.406 (67.081) Epoch: [14][5200/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4104 (2.6956) Prec@1 47.656 (41.854) Prec@5 71.094 (67.083) Epoch: [14][5210/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8121 (2.6958) Prec@1 41.406 (41.851) Prec@5 66.406 (67.082) Epoch: [14][5220/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7690 (2.6958) Prec@1 47.656 (41.851) Prec@5 64.844 (67.080) /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: [14][5230/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.3517 (2.6959) Prec@1 45.312 (41.850) Prec@5 72.656 (67.078) Epoch: [14][5240/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0278 (2.6959) Prec@1 30.469 (41.849) Prec@5 60.938 (67.077) Epoch: [14][5250/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5380 (2.6959) Prec@1 41.406 (41.847) Prec@5 67.188 (67.076) Epoch: [14][5260/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7446 (2.6960) Prec@1 45.312 (41.849) Prec@5 64.844 (67.073) Epoch: [14][5270/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7038 (2.6959) Prec@1 39.062 (41.850) Prec@5 66.406 (67.074) Epoch: [14][5280/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.3407 (2.6958) Prec@1 51.562 (41.853) Prec@5 73.438 (67.075) Epoch: [14][5290/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5972 (2.6958) Prec@1 49.219 (41.854) Prec@5 72.656 (67.075) Epoch: [14][5300/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5507 (2.6957) Prec@1 42.969 (41.854) Prec@5 72.656 (67.078) Epoch: [14][5310/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5181 (2.6958) Prec@1 38.281 (41.853) Prec@5 72.656 (67.077) Epoch: [14][5320/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7284 (2.6960) Prec@1 41.406 (41.849) Prec@5 67.969 (67.074) Epoch: [14][5330/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6074 (2.6960) Prec@1 40.625 (41.851) Prec@5 67.969 (67.074) Epoch: [14][5340/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8341 (2.6962) Prec@1 39.062 (41.846) Prec@5 65.625 (67.068) Epoch: [14][5350/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7723 (2.6963) Prec@1 38.281 (41.845) Prec@5 66.406 (67.064) Epoch: [14][5360/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5723 (2.6964) Prec@1 42.969 (41.843) Prec@5 71.875 (67.062) Epoch: [14][5370/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5652 (2.6965) Prec@1 40.625 (41.841) Prec@5 67.188 (67.062) Epoch: [14][5380/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8195 (2.6968) Prec@1 42.188 (41.838) Prec@5 65.625 (67.058) Epoch: [14][5390/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5685 (2.6967) Prec@1 50.000 (41.840) Prec@5 68.750 (67.057) Epoch: [14][5400/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5382 (2.6967) Prec@1 41.406 (41.839) Prec@5 71.875 (67.057) Epoch: [14][5410/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6317 (2.6967) Prec@1 43.750 (41.840) Prec@5 69.531 (67.058) Epoch: [14][5420/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3927 (2.6966) Prec@1 48.438 (41.840) Prec@5 71.875 (67.058) Epoch: [14][5430/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6307 (2.6965) Prec@1 45.312 (41.844) Prec@5 71.875 (67.062) Epoch: [14][5440/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 3.0601 (2.6967) Prec@1 34.375 (41.840) Prec@5 60.938 (67.060) Epoch: [14][5450/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.5539 (2.6964) Prec@1 46.094 (41.846) Prec@5 67.188 (67.066) Epoch: [14][5460/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7080 (2.6962) Prec@1 41.406 (41.849) Prec@5 66.406 (67.068) Epoch: [14][5470/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6027 (2.6961) Prec@1 43.750 (41.853) Prec@5 67.969 (67.067) Epoch: [14][5480/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8177 (2.6960) Prec@1 37.500 (41.857) Prec@5 64.062 (67.067) Epoch: [14][5490/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.1980 (2.6965) Prec@1 35.938 (41.853) Prec@5 60.938 (67.057) Epoch: [14][5500/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6088 (2.6964) Prec@1 42.188 (41.854) Prec@5 69.531 (67.058) Epoch: [14][5510/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4392 (2.6962) Prec@1 42.188 (41.855) Prec@5 70.312 (67.061) Epoch: [14][5520/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8428 (2.6962) Prec@1 34.375 (41.855) Prec@5 62.500 (67.062) Epoch: [14][5530/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5164 (2.6959) Prec@1 35.156 (41.855) Prec@5 68.750 (67.066) Epoch: [14][5540/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5270 (2.6959) Prec@1 47.656 (41.854) Prec@5 67.969 (67.068) Epoch: [14][5550/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6328 (2.6960) Prec@1 41.406 (41.852) Prec@5 71.875 (67.066) Epoch: [14][5560/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6914 (2.6960) Prec@1 39.062 (41.853) Prec@5 63.281 (67.067) Epoch: [14][5570/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4874 (2.6962) Prec@1 49.219 (41.852) Prec@5 67.188 (67.064) Epoch: [14][5580/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.8289 (2.6960) Prec@1 42.188 (41.852) Prec@5 65.625 (67.067) Epoch: [14][5590/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4498 (2.6961) Prec@1 45.312 (41.850) Prec@5 67.188 (67.064) Epoch: [14][5600/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6104 (2.6959) Prec@1 42.969 (41.853) Prec@5 71.875 (67.069) Epoch: [14][5610/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1072 (2.6959) Prec@1 51.562 (41.852) Prec@5 78.125 (67.069) Epoch: [14][5620/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8606 (2.6961) Prec@1 39.062 (41.850) Prec@5 64.062 (67.066) Epoch: [14][5630/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5879 (2.6959) Prec@1 42.188 (41.849) Prec@5 67.188 (67.071) Epoch: [14][5640/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.5239 (2.6958) Prec@1 46.875 (41.851) Prec@5 71.875 (67.075) Epoch: [14][5650/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7288 (2.6957) Prec@1 35.938 (41.857) Prec@5 65.625 (67.076) Epoch: [14][5660/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6423 (2.6956) Prec@1 48.438 (41.858) Prec@5 69.531 (67.074) Epoch: [14][5670/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6771 (2.6955) Prec@1 38.281 (41.854) Prec@5 67.188 (67.076) Epoch: [14][5680/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7156 (2.6957) Prec@1 41.406 (41.851) Prec@5 68.750 (67.074) Epoch: [14][5690/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4007 (2.6958) Prec@1 44.531 (41.850) Prec@5 68.750 (67.071) Epoch: [14][5700/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7890 (2.6960) Prec@1 40.625 (41.845) Prec@5 68.750 (67.066) Epoch: [14][5710/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6558 (2.6961) Prec@1 33.594 (41.841) Prec@5 67.188 (67.067) Epoch: [14][5720/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7926 (2.6960) Prec@1 35.156 (41.839) Prec@5 61.719 (67.069) Epoch: [14][5730/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 3.0468 (2.6960) Prec@1 35.938 (41.839) Prec@5 63.281 (67.069) Epoch: [14][5740/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5287 (2.6960) Prec@1 42.969 (41.838) Prec@5 72.656 (67.070) Epoch: [14][5750/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5670 (2.6958) Prec@1 50.000 (41.839) Prec@5 65.625 (67.071) Epoch: [14][5760/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4354 (2.6957) Prec@1 49.219 (41.843) Prec@5 67.188 (67.070) Epoch: [14][5770/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5749 (2.6956) Prec@1 46.094 (41.842) Prec@5 70.312 (67.071) Epoch: [14][5780/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7589 (2.6957) Prec@1 40.625 (41.843) Prec@5 63.281 (67.071) Epoch: [14][5790/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4601 (2.6956) Prec@1 43.750 (41.843) Prec@5 71.875 (67.070) Epoch: [14][5800/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7259 (2.6956) Prec@1 42.969 (41.843) Prec@5 68.750 (67.070) Epoch: [14][5810/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5930 (2.6954) Prec@1 51.562 (41.847) Prec@5 67.969 (67.073) Epoch: [14][5820/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3616 (2.6952) Prec@1 48.438 (41.852) Prec@5 73.438 (67.076) Epoch: [14][5830/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8913 (2.6952) Prec@1 41.406 (41.854) Prec@5 68.750 (67.078) Epoch: [14][5840/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7258 (2.6954) Prec@1 43.750 (41.851) Prec@5 68.750 (67.075) Epoch: [14][5850/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6613 (2.6957) Prec@1 45.312 (41.847) Prec@5 67.188 (67.070) Epoch: [14][5860/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9230 (2.6957) Prec@1 39.062 (41.847) Prec@5 63.281 (67.070) Epoch: [14][5870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5523 (2.6956) Prec@1 50.781 (41.850) Prec@5 66.406 (67.071) Epoch: [14][5880/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.3306 (2.6954) Prec@1 46.094 (41.852) Prec@5 70.312 (67.073) Epoch: [14][5890/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8965 (2.6952) Prec@1 38.281 (41.853) Prec@5 61.719 (67.074) Epoch: [14][5900/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.6158 (2.6953) Prec@1 43.750 (41.854) Prec@5 71.094 (67.073) Epoch: [14][5910/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7236 (2.6953) Prec@1 39.844 (41.855) Prec@5 68.750 (67.071) Epoch: [14][5920/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7489 (2.6955) Prec@1 37.500 (41.853) Prec@5 63.281 (67.067) Epoch: [14][5930/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.3513 (2.6954) Prec@1 51.562 (41.857) Prec@5 74.219 (67.068) Epoch: [14][5940/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7089 (2.6954) Prec@1 39.844 (41.857) Prec@5 71.875 (67.069) Epoch: [14][5950/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8691 (2.6954) Prec@1 39.062 (41.855) Prec@5 61.719 (67.070) Epoch: [14][5960/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6966 (2.6954) Prec@1 42.969 (41.857) Prec@5 61.719 (67.067) Epoch: [14][5970/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7141 (2.6956) Prec@1 43.750 (41.853) Prec@5 64.844 (67.064) Epoch: [14][5980/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8324 (2.6957) Prec@1 39.062 (41.854) Prec@5 64.062 (67.063) Epoch: [14][5990/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9344 (2.6957) Prec@1 35.938 (41.855) Prec@5 63.281 (67.064) Epoch: [14][6000/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4603 (2.6957) Prec@1 47.656 (41.853) Prec@5 72.656 (67.063) Epoch: [14][6010/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8777 (2.6956) Prec@1 39.062 (41.854) Prec@5 64.062 (67.064) Epoch: [14][6020/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5184 (2.6957) Prec@1 42.969 (41.853) Prec@5 72.656 (67.062) Epoch: [14][6030/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8400 (2.6956) Prec@1 37.500 (41.853) Prec@5 63.281 (67.064) Epoch: [14][6040/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6245 (2.6955) Prec@1 45.312 (41.855) Prec@5 66.406 (67.066) Epoch: [14][6050/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0667 (2.6957) Prec@1 39.844 (41.851) Prec@5 63.281 (67.062) Epoch: [14][6060/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6835 (2.6955) Prec@1 42.969 (41.852) Prec@5 64.062 (67.064) Epoch: [14][6070/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4344 (2.6956) Prec@1 43.750 (41.852) Prec@5 72.656 (67.062) Epoch: [14][6080/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7226 (2.6956) Prec@1 35.938 (41.852) Prec@5 64.844 (67.062) Epoch: [14][6090/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7359 (2.6955) Prec@1 46.094 (41.855) Prec@5 65.625 (67.062) Epoch: [14][6100/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7013 (2.6955) Prec@1 39.062 (41.854) Prec@5 65.625 (67.061) Epoch: [14][6110/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5564 (2.6957) Prec@1 39.844 (41.849) Prec@5 67.969 (67.056) Epoch: [14][6120/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4798 (2.6958) Prec@1 42.969 (41.847) Prec@5 70.312 (67.057) Epoch: [14][6130/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6800 (2.6959) Prec@1 39.844 (41.847) Prec@5 70.312 (67.055) Epoch: [14][6140/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5115 (2.6958) Prec@1 43.750 (41.849) Prec@5 68.750 (67.057) Epoch: [14][6150/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6927 (2.6959) Prec@1 41.406 (41.846) Prec@5 67.188 (67.055) Epoch: [14][6160/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9073 (2.6960) Prec@1 39.844 (41.843) Prec@5 67.188 (67.055) Epoch: [14][6170/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3838 (2.6960) Prec@1 47.656 (41.845) Prec@5 72.656 (67.053) Epoch: [14][6180/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7117 (2.6960) Prec@1 49.219 (41.849) Prec@5 71.094 (67.055) Epoch: [14][6190/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9642 (2.6961) Prec@1 40.625 (41.848) Prec@5 64.844 (67.057) Epoch: [14][6200/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.9509 (2.6963) Prec@1 36.719 (41.844) Prec@5 61.719 (67.052) Epoch: [14][6210/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5434 (2.6964) Prec@1 43.750 (41.846) Prec@5 71.094 (67.051) Epoch: [14][6220/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6715 (2.6965) Prec@1 44.531 (41.843) Prec@5 69.531 (67.050) Epoch: [14][6230/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5067 (2.6965) Prec@1 47.656 (41.847) Prec@5 73.438 (67.051) Epoch: [14][6240/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7247 (2.6965) Prec@1 42.188 (41.846) Prec@5 64.844 (67.049) Epoch: [14][6250/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8577 (2.6965) Prec@1 37.500 (41.847) Prec@5 62.500 (67.048) Epoch: [14][6260/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8632 (2.6967) Prec@1 38.281 (41.842) Prec@5 64.062 (67.043) Epoch: [14][6270/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7716 (2.6967) Prec@1 33.594 (41.840) Prec@5 68.750 (67.044) Epoch: [14][6280/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.4807 (2.6967) Prec@1 46.875 (41.841) Prec@5 75.000 (67.046) Epoch: [14][6290/10010] Time 0.352 (0.331) Data 0.001 (0.001) Loss 2.7898 (2.6968) Prec@1 36.719 (41.838) Prec@5 64.844 (67.045) Epoch: [14][6300/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7251 (2.6968) Prec@1 42.188 (41.839) Prec@5 60.938 (67.043) Epoch: [14][6310/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6365 (2.6969) Prec@1 38.281 (41.834) Prec@5 64.844 (67.039) Epoch: [14][6320/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7615 (2.6971) Prec@1 40.625 (41.835) Prec@5 66.406 (67.038) Epoch: [14][6330/10010] Time 0.321 (0.331) Data 0.004 (0.001) Loss 2.4903 (2.6971) Prec@1 48.438 (41.835) Prec@5 68.750 (67.038) Epoch: [14][6340/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4723 (2.6969) Prec@1 50.000 (41.840) Prec@5 67.188 (67.042) Epoch: [14][6350/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5429 (2.6968) Prec@1 44.531 (41.842) Prec@5 70.312 (67.045) Epoch: [14][6360/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9407 (2.6967) Prec@1 39.844 (41.843) Prec@5 66.406 (67.049) Epoch: [14][6370/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0641 (2.6967) Prec@1 39.062 (41.843) Prec@5 61.719 (67.046) Epoch: [14][6380/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.5652 (2.6967) Prec@1 41.406 (41.844) Prec@5 71.875 (67.046) Epoch: [14][6390/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6061 (2.6966) Prec@1 46.875 (41.847) Prec@5 71.094 (67.046) Epoch: [14][6400/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8287 (2.6966) Prec@1 39.844 (41.847) Prec@5 62.500 (67.046) Epoch: [14][6410/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6726 (2.6965) Prec@1 44.531 (41.850) Prec@5 68.750 (67.048) Epoch: [14][6420/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6280 (2.6966) Prec@1 41.406 (41.848) Prec@5 69.531 (67.048) Epoch: [14][6430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5005 (2.6965) Prec@1 41.406 (41.850) Prec@5 69.531 (67.049) Epoch: [14][6440/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8076 (2.6963) Prec@1 37.500 (41.852) Prec@5 65.625 (67.053) Epoch: [14][6450/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4900 (2.6961) Prec@1 42.969 (41.856) Prec@5 67.969 (67.057) Epoch: [14][6460/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6232 (2.6961) Prec@1 44.531 (41.854) Prec@5 65.625 (67.056) Epoch: [14][6470/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7737 (2.6961) Prec@1 35.938 (41.851) Prec@5 65.625 (67.056) Epoch: [14][6480/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2989 (2.6961) Prec@1 48.438 (41.851) Prec@5 71.094 (67.056) Epoch: [14][6490/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7501 (2.6961) Prec@1 40.625 (41.852) Prec@5 66.406 (67.057) Epoch: [14][6500/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.9307 (2.6962) Prec@1 39.844 (41.849) Prec@5 59.375 (67.057) Epoch: [14][6510/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9403 (2.6962) Prec@1 37.500 (41.850) Prec@5 63.281 (67.058) Epoch: [14][6520/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4382 (2.6962) Prec@1 47.656 (41.850) Prec@5 75.000 (67.058) Epoch: [14][6530/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7584 (2.6962) Prec@1 38.281 (41.850) Prec@5 67.969 (67.059) Epoch: [14][6540/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6739 (2.6962) Prec@1 39.844 (41.852) Prec@5 69.531 (67.061) Epoch: [14][6550/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9245 (2.6963) Prec@1 43.750 (41.848) Prec@5 64.844 (67.058) Epoch: [14][6560/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4780 (2.6964) Prec@1 50.000 (41.848) Prec@5 74.219 (67.058) Epoch: [14][6570/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7098 (2.6965) Prec@1 41.406 (41.847) Prec@5 67.969 (67.056) Epoch: [14][6580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4499 (2.6964) Prec@1 46.875 (41.847) Prec@5 75.000 (67.059) Epoch: [14][6590/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8304 (2.6964) Prec@1 42.969 (41.849) Prec@5 67.188 (67.060) Epoch: [14][6600/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9308 (2.6964) Prec@1 41.406 (41.849) Prec@5 64.844 (67.059) Epoch: [14][6610/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6280 (2.6965) Prec@1 42.969 (41.848) Prec@5 64.062 (67.058) Epoch: [14][6620/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7252 (2.6964) Prec@1 42.969 (41.849) Prec@5 63.281 (67.060) Epoch: [14][6630/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4977 (2.6963) Prec@1 48.438 (41.851) Prec@5 67.188 (67.061) Epoch: [14][6640/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8856 (2.6964) Prec@1 39.844 (41.851) Prec@5 62.500 (67.060) Epoch: [14][6650/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6116 (2.6963) Prec@1 36.719 (41.854) Prec@5 69.531 (67.064) Epoch: [14][6660/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2210 (2.6963) Prec@1 53.125 (41.854) Prec@5 75.000 (67.064) Epoch: [14][6670/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7403 (2.6963) Prec@1 47.656 (41.856) Prec@5 67.969 (67.065) Epoch: [14][6680/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7962 (2.6964) Prec@1 42.969 (41.852) Prec@5 64.062 (67.064) Epoch: [14][6690/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7561 (2.6964) Prec@1 42.969 (41.855) Prec@5 67.188 (67.066) Epoch: [14][6700/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6163 (2.6963) Prec@1 42.969 (41.858) Prec@5 68.750 (67.066) Epoch: [14][6710/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6188 (2.6964) Prec@1 42.969 (41.857) Prec@5 69.531 (67.067) Epoch: [14][6720/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7257 (2.6963) Prec@1 46.094 (41.856) Prec@5 67.969 (67.070) Epoch: [14][6730/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4547 (2.6964) Prec@1 43.750 (41.854) Prec@5 70.312 (67.069) Epoch: [14][6740/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7900 (2.6965) Prec@1 39.844 (41.852) Prec@5 67.969 (67.067) Epoch: [14][6750/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4191 (2.6963) Prec@1 41.406 (41.853) Prec@5 70.312 (67.071) Epoch: [14][6760/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.4782 (2.6964) Prec@1 44.531 (41.853) Prec@5 70.312 (67.072) Epoch: [14][6770/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5308 (2.6963) Prec@1 42.969 (41.852) Prec@5 70.312 (67.075) Epoch: [14][6780/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6486 (2.6963) Prec@1 39.844 (41.850) Prec@5 65.625 (67.071) Epoch: [14][6790/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.0486 (2.6962) Prec@1 36.719 (41.850) Prec@5 58.594 (67.071) Epoch: [14][6800/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3832 (2.6962) Prec@1 50.781 (41.852) Prec@5 68.750 (67.072) Epoch: [14][6810/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4581 (2.6960) Prec@1 45.312 (41.856) Prec@5 67.969 (67.073) Epoch: [14][6820/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3286 (2.6959) Prec@1 46.094 (41.856) Prec@5 69.531 (67.074) Epoch: [14][6830/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8853 (2.6961) Prec@1 39.844 (41.854) Prec@5 63.281 (67.075) Epoch: [14][6840/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6247 (2.6962) Prec@1 38.281 (41.850) Prec@5 67.969 (67.070) Epoch: [14][6850/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6146 (2.6962) Prec@1 36.719 (41.849) Prec@5 72.656 (67.071) Epoch: [14][6860/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7705 (2.6963) Prec@1 41.406 (41.849) Prec@5 69.531 (67.070) Epoch: [14][6870/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6506 (2.6962) Prec@1 42.969 (41.850) Prec@5 69.531 (67.072) Epoch: [14][6880/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3939 (2.6961) Prec@1 51.562 (41.852) Prec@5 72.656 (67.074) Epoch: [14][6890/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9778 (2.6961) Prec@1 30.469 (41.850) Prec@5 60.938 (67.074) /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: [14][6900/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7355 (2.6960) Prec@1 40.625 (41.852) Prec@5 71.875 (67.077) Epoch: [14][6910/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8060 (2.6960) Prec@1 36.719 (41.849) Prec@5 64.844 (67.077) Epoch: [14][6920/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7083 (2.6958) Prec@1 38.281 (41.852) Prec@5 68.750 (67.080) Epoch: [14][6930/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6305 (2.6958) Prec@1 43.750 (41.851) Prec@5 67.188 (67.082) Epoch: [14][6940/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6771 (2.6959) Prec@1 42.188 (41.848) Prec@5 71.875 (67.083) Epoch: [14][6950/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4652 (2.6958) Prec@1 45.312 (41.848) Prec@5 66.406 (67.083) Epoch: [14][6960/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7435 (2.6961) Prec@1 39.062 (41.844) Prec@5 69.531 (67.078) Epoch: [14][6970/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.3457 (2.6961) Prec@1 47.656 (41.844) Prec@5 70.312 (67.077) Epoch: [14][6980/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6687 (2.6961) Prec@1 41.406 (41.843) Prec@5 64.844 (67.076) Epoch: [14][6990/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9317 (2.6962) Prec@1 37.500 (41.842) Prec@5 66.406 (67.076) Epoch: [14][7000/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6327 (2.6962) Prec@1 39.844 (41.839) Prec@5 67.188 (67.077) Epoch: [14][7010/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8932 (2.6962) Prec@1 38.281 (41.841) Prec@5 61.719 (67.079) Epoch: [14][7020/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8603 (2.6962) Prec@1 39.062 (41.839) Prec@5 62.500 (67.078) Epoch: [14][7030/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7191 (2.6962) Prec@1 42.188 (41.841) Prec@5 65.625 (67.078) Epoch: [14][7040/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8333 (2.6962) Prec@1 36.719 (41.842) Prec@5 59.375 (67.079) Epoch: [14][7050/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7157 (2.6963) Prec@1 39.844 (41.840) Prec@5 61.719 (67.077) Epoch: [14][7060/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6382 (2.6962) Prec@1 42.969 (41.842) Prec@5 67.188 (67.077) Epoch: [14][7070/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4525 (2.6964) Prec@1 50.000 (41.837) Prec@5 68.750 (67.075) Epoch: [14][7080/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4822 (2.6964) Prec@1 45.312 (41.836) Prec@5 69.531 (67.074) Epoch: [14][7090/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7579 (2.6964) Prec@1 43.750 (41.837) Prec@5 63.281 (67.073) Epoch: [14][7100/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8546 (2.6964) Prec@1 41.406 (41.836) Prec@5 69.531 (67.075) Epoch: [14][7110/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6763 (2.6965) Prec@1 40.625 (41.835) Prec@5 69.531 (67.073) Epoch: [14][7120/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8850 (2.6966) Prec@1 39.062 (41.833) Prec@5 63.281 (67.070) Epoch: [14][7130/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6021 (2.6968) Prec@1 40.625 (41.832) Prec@5 72.656 (67.068) Epoch: [14][7140/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7821 (2.6967) Prec@1 39.844 (41.835) Prec@5 64.844 (67.069) Epoch: [14][7150/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5414 (2.6966) Prec@1 41.406 (41.837) Prec@5 69.531 (67.068) Epoch: [14][7160/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3098 (2.6967) Prec@1 50.000 (41.836) Prec@5 75.000 (67.067) Epoch: [14][7170/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7424 (2.6967) Prec@1 42.188 (41.835) Prec@5 64.062 (67.065) Epoch: [14][7180/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7801 (2.6968) Prec@1 39.062 (41.833) Prec@5 63.281 (67.065) Epoch: [14][7190/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.3948 (2.6968) Prec@1 50.000 (41.832) Prec@5 71.094 (67.064) Epoch: [14][7200/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8446 (2.6967) Prec@1 36.719 (41.833) Prec@5 64.062 (67.065) Epoch: [14][7210/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8127 (2.6968) Prec@1 42.188 (41.831) Prec@5 64.062 (67.065) Epoch: [14][7220/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6831 (2.6968) Prec@1 44.531 (41.831) Prec@5 67.969 (67.065) Epoch: [14][7230/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7827 (2.6969) Prec@1 43.750 (41.828) Prec@5 58.594 (67.063) Epoch: [14][7240/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6766 (2.6970) Prec@1 42.969 (41.827) Prec@5 66.406 (67.062) Epoch: [14][7250/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8186 (2.6971) Prec@1 37.500 (41.825) Prec@5 65.625 (67.060) Epoch: [14][7260/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5328 (2.6971) Prec@1 50.781 (41.826) Prec@5 67.188 (67.060) Epoch: [14][7270/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.3519 (2.6970) Prec@1 48.438 (41.828) Prec@5 71.875 (67.064) Epoch: [14][7280/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.4612 (2.6970) Prec@1 47.656 (41.828) Prec@5 71.094 (67.063) Epoch: [14][7290/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4965 (2.6970) Prec@1 48.438 (41.827) Prec@5 67.969 (67.061) Epoch: [14][7300/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4166 (2.6970) Prec@1 43.750 (41.828) Prec@5 65.625 (67.060) Epoch: [14][7310/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8539 (2.6971) Prec@1 37.500 (41.827) Prec@5 62.500 (67.057) Epoch: [14][7320/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5968 (2.6971) Prec@1 42.188 (41.824) Prec@5 65.625 (67.055) Epoch: [14][7330/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9006 (2.6972) Prec@1 39.062 (41.824) Prec@5 62.500 (67.056) Epoch: [14][7340/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2072 (2.6972) Prec@1 50.781 (41.822) Prec@5 75.781 (67.055) Epoch: [14][7350/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5229 (2.6972) Prec@1 42.969 (41.825) Prec@5 68.750 (67.056) Epoch: [14][7360/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7328 (2.6972) Prec@1 39.062 (41.825) Prec@5 71.875 (67.058) Epoch: [14][7370/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5687 (2.6973) Prec@1 46.094 (41.823) Prec@5 68.750 (67.056) Epoch: [14][7380/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5123 (2.6971) Prec@1 46.094 (41.827) Prec@5 67.969 (67.057) Epoch: [14][7390/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.7757 (2.6971) Prec@1 40.625 (41.827) Prec@5 65.625 (67.058) Epoch: [14][7400/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.3387 (2.6969) Prec@1 46.875 (41.830) Prec@5 71.094 (67.062) Epoch: [14][7410/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5671 (2.6970) Prec@1 42.188 (41.828) Prec@5 67.188 (67.062) Epoch: [14][7420/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8190 (2.6969) Prec@1 41.406 (41.828) Prec@5 67.188 (67.063) Epoch: [14][7430/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4399 (2.6971) Prec@1 42.188 (41.823) Prec@5 69.531 (67.063) Epoch: [14][7440/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7324 (2.6972) Prec@1 39.062 (41.821) Prec@5 70.312 (67.062) Epoch: [14][7450/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8664 (2.6972) Prec@1 35.156 (41.819) Prec@5 61.719 (67.060) Epoch: [14][7460/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7014 (2.6973) Prec@1 42.969 (41.818) Prec@5 67.188 (67.057) Epoch: [14][7470/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8686 (2.6973) Prec@1 32.812 (41.814) Prec@5 67.969 (67.057) Epoch: [14][7480/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6022 (2.6972) Prec@1 37.500 (41.816) Prec@5 61.719 (67.057) Epoch: [14][7490/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.3963 (2.6973) Prec@1 49.219 (41.816) Prec@5 70.312 (67.057) Epoch: [14][7500/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8720 (2.6973) Prec@1 37.500 (41.816) Prec@5 60.938 (67.056) Epoch: [14][7510/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6742 (2.6974) Prec@1 42.188 (41.814) Prec@5 67.969 (67.056) Epoch: [14][7520/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6484 (2.6974) Prec@1 44.531 (41.815) Prec@5 64.062 (67.057) Epoch: [14][7530/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7751 (2.6974) Prec@1 43.750 (41.817) Prec@5 66.406 (67.058) Epoch: [14][7540/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6739 (2.6975) Prec@1 41.406 (41.816) Prec@5 65.625 (67.056) Epoch: [14][7550/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7329 (2.6976) Prec@1 41.406 (41.813) Prec@5 67.969 (67.053) Epoch: [14][7560/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5376 (2.6977) Prec@1 43.750 (41.811) Prec@5 72.656 (67.052) Epoch: [14][7570/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9910 (2.6978) Prec@1 42.969 (41.812) Prec@5 63.281 (67.050) Epoch: [14][7580/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6742 (2.6979) Prec@1 39.844 (41.810) Prec@5 69.531 (67.047) Epoch: [14][7590/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9011 (2.6981) Prec@1 41.406 (41.807) Prec@5 64.062 (67.046) Epoch: [14][7600/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8199 (2.6981) Prec@1 37.500 (41.806) Prec@5 64.062 (67.045) Epoch: [14][7610/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4789 (2.6981) Prec@1 41.406 (41.805) Prec@5 68.750 (67.043) Epoch: [14][7620/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.1752 (2.6983) Prec@1 32.812 (41.802) Prec@5 61.719 (67.041) Epoch: [14][7630/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5692 (2.6982) Prec@1 46.875 (41.802) Prec@5 63.281 (67.041) Epoch: [14][7640/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8382 (2.6983) Prec@1 35.156 (41.802) Prec@5 66.406 (67.040) Epoch: [14][7650/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6978 (2.6982) Prec@1 39.062 (41.802) Prec@5 66.406 (67.042) Epoch: [14][7660/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6959 (2.6982) Prec@1 42.969 (41.803) Prec@5 65.625 (67.041) Epoch: [14][7670/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5810 (2.6982) Prec@1 45.312 (41.804) Prec@5 70.312 (67.042) Epoch: [14][7680/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5119 (2.6982) Prec@1 53.125 (41.803) Prec@5 67.969 (67.040) Epoch: [14][7690/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7055 (2.6983) Prec@1 42.188 (41.803) Prec@5 64.844 (67.040) Epoch: [14][7700/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6148 (2.6983) Prec@1 37.500 (41.802) Prec@5 67.969 (67.038) Epoch: [14][7710/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9843 (2.6984) Prec@1 40.625 (41.801) Prec@5 60.938 (67.036) Epoch: [14][7720/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9288 (2.6984) Prec@1 36.719 (41.801) Prec@5 64.844 (67.036) Epoch: [14][7730/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6696 (2.6983) Prec@1 37.500 (41.801) Prec@5 67.188 (67.037) Epoch: [14][7740/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7842 (2.6983) Prec@1 37.500 (41.800) Prec@5 64.844 (67.036) Epoch: [14][7750/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8621 (2.6984) Prec@1 39.062 (41.800) Prec@5 65.625 (67.034) Epoch: [14][7760/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8848 (2.6983) Prec@1 40.625 (41.801) Prec@5 64.062 (67.034) Epoch: [14][7770/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6733 (2.6982) Prec@1 40.625 (41.803) Prec@5 68.750 (67.036) Epoch: [14][7780/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4290 (2.6983) Prec@1 47.656 (41.800) Prec@5 73.438 (67.034) Epoch: [14][7790/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5839 (2.6984) Prec@1 35.938 (41.797) Prec@5 67.969 (67.033) Epoch: [14][7800/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6550 (2.6985) Prec@1 36.719 (41.794) Prec@5 65.625 (67.031) Epoch: [14][7810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6772 (2.6984) Prec@1 42.969 (41.795) Prec@5 64.844 (67.034) Epoch: [14][7820/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4976 (2.6985) Prec@1 44.531 (41.792) Prec@5 71.094 (67.033) Epoch: [14][7830/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4528 (2.6984) Prec@1 45.312 (41.793) Prec@5 71.094 (67.034) Epoch: [14][7840/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6775 (2.6984) Prec@1 44.531 (41.794) Prec@5 71.094 (67.035) Epoch: [14][7850/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7587 (2.6984) Prec@1 37.500 (41.794) Prec@5 64.062 (67.034) Epoch: [14][7860/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8695 (2.6985) Prec@1 33.594 (41.791) Prec@5 63.281 (67.034) Epoch: [14][7870/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6738 (2.6984) Prec@1 42.969 (41.793) Prec@5 66.406 (67.034) Epoch: [14][7880/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7366 (2.6985) Prec@1 43.750 (41.792) Prec@5 64.844 (67.034) Epoch: [14][7890/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5600 (2.6986) Prec@1 41.406 (41.792) Prec@5 70.312 (67.034) Epoch: [14][7900/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4167 (2.6986) Prec@1 46.094 (41.793) Prec@5 75.000 (67.036) Epoch: [14][7910/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7608 (2.6986) Prec@1 39.062 (41.793) Prec@5 64.844 (67.036) Epoch: [14][7920/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4664 (2.6986) Prec@1 46.094 (41.792) Prec@5 69.531 (67.035) Epoch: [14][7930/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.9823 (2.6987) Prec@1 32.812 (41.791) Prec@5 62.500 (67.032) Epoch: [14][7940/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8913 (2.6987) Prec@1 41.406 (41.790) Prec@5 66.406 (67.030) Epoch: [14][7950/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4011 (2.6986) Prec@1 41.406 (41.792) Prec@5 70.312 (67.033) Epoch: [14][7960/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3890 (2.6985) Prec@1 42.969 (41.794) Prec@5 72.656 (67.035) Epoch: [14][7970/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7869 (2.6986) Prec@1 39.844 (41.793) Prec@5 64.062 (67.033) Epoch: [14][7980/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9210 (2.6986) Prec@1 34.375 (41.793) Prec@5 60.156 (67.033) Epoch: [14][7990/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6023 (2.6986) Prec@1 35.938 (41.790) Prec@5 69.531 (67.034) Epoch: [14][8000/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7549 (2.6987) Prec@1 40.625 (41.789) Prec@5 69.531 (67.033) Epoch: [14][8010/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6766 (2.6987) Prec@1 41.406 (41.786) Prec@5 69.531 (67.033) Epoch: [14][8020/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0221 (2.6987) Prec@1 32.812 (41.787) Prec@5 62.500 (67.034) Epoch: [14][8030/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7444 (2.6988) Prec@1 42.188 (41.786) Prec@5 72.656 (67.035) Epoch: [14][8040/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6838 (2.6989) Prec@1 42.188 (41.784) Prec@5 61.719 (67.033) Epoch: [14][8050/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8423 (2.6990) Prec@1 36.719 (41.780) Prec@5 67.188 (67.032) Epoch: [14][8060/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.7185 (2.6990) Prec@1 42.188 (41.779) Prec@5 68.750 (67.032) Epoch: [14][8070/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6913 (2.6989) Prec@1 43.750 (41.781) Prec@5 64.844 (67.034) Epoch: [14][8080/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0856 (2.6988) Prec@1 38.281 (41.784) Prec@5 61.719 (67.036) Epoch: [14][8090/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6544 (2.6988) Prec@1 46.094 (41.786) Prec@5 65.625 (67.036) Epoch: [14][8100/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7228 (2.6988) Prec@1 42.188 (41.783) Prec@5 70.312 (67.037) Epoch: [14][8110/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8067 (2.6987) Prec@1 42.188 (41.783) Prec@5 64.062 (67.037) Epoch: [14][8120/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6333 (2.6987) Prec@1 45.312 (41.784) Prec@5 69.531 (67.039) Epoch: [14][8130/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5397 (2.6987) Prec@1 48.438 (41.781) Prec@5 71.875 (67.039) Epoch: [14][8140/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6120 (2.6987) Prec@1 39.844 (41.781) Prec@5 67.969 (67.039) Epoch: [14][8150/10010] Time 0.309 (0.331) Data 0.001 (0.001) Loss 2.4372 (2.6986) Prec@1 46.875 (41.783) Prec@5 73.438 (67.040) Epoch: [14][8160/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5534 (2.6986) Prec@1 47.656 (41.784) Prec@5 69.531 (67.041) Epoch: [14][8170/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7133 (2.6986) Prec@1 38.281 (41.784) Prec@5 69.531 (67.042) Epoch: [14][8180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8908 (2.6985) Prec@1 35.938 (41.785) Prec@5 59.375 (67.043) Epoch: [14][8190/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7437 (2.6984) Prec@1 42.969 (41.786) Prec@5 65.625 (67.046) Epoch: [14][8200/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6616 (2.6986) Prec@1 40.625 (41.783) Prec@5 66.406 (67.042) Epoch: [14][8210/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7929 (2.6985) Prec@1 41.406 (41.784) Prec@5 64.062 (67.043) Epoch: [14][8220/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9222 (2.6986) Prec@1 42.188 (41.785) Prec@5 67.188 (67.042) Epoch: [14][8230/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9620 (2.6986) Prec@1 39.844 (41.785) Prec@5 64.844 (67.044) Epoch: [14][8240/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.8252 (2.6986) Prec@1 40.625 (41.784) Prec@5 63.281 (67.045) Epoch: [14][8250/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.7213 (2.6985) Prec@1 46.875 (41.786) Prec@5 64.062 (67.045) Epoch: [14][8260/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7405 (2.6985) Prec@1 41.406 (41.784) Prec@5 64.844 (67.045) Epoch: [14][8270/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4666 (2.6985) Prec@1 49.219 (41.784) Prec@5 69.531 (67.046) Epoch: [14][8280/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.4891 (2.6985) Prec@1 45.312 (41.784) Prec@5 68.750 (67.046) Epoch: [14][8290/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0233 (2.6985) Prec@1 38.281 (41.784) Prec@5 63.281 (67.047) Epoch: [14][8300/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5059 (2.6985) Prec@1 50.000 (41.784) Prec@5 71.094 (67.046) Epoch: [14][8310/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5335 (2.6984) Prec@1 37.500 (41.788) Prec@5 73.438 (67.050) Epoch: [14][8320/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7050 (2.6983) Prec@1 45.312 (41.790) Prec@5 66.406 (67.049) Epoch: [14][8330/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9544 (2.6984) Prec@1 39.844 (41.789) Prec@5 61.719 (67.046) Epoch: [14][8340/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9552 (2.6985) Prec@1 38.281 (41.788) Prec@5 60.938 (67.045) Epoch: [14][8350/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.1788 (2.6985) Prec@1 38.281 (41.790) Prec@5 55.469 (67.044) Epoch: [14][8360/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.9002 (2.6985) Prec@1 37.500 (41.790) Prec@5 62.500 (67.043) Epoch: [14][8370/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5547 (2.6985) Prec@1 39.844 (41.790) Prec@5 70.312 (67.042) Epoch: [14][8380/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8400 (2.6987) Prec@1 41.406 (41.788) Prec@5 63.281 (67.039) Epoch: [14][8390/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7992 (2.6988) Prec@1 42.969 (41.789) Prec@5 66.406 (67.040) Epoch: [14][8400/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 2.5309 (2.6988) Prec@1 45.312 (41.788) Prec@5 69.531 (67.037) Epoch: [14][8410/10010] Time 0.340 (0.331) Data 0.002 (0.001) Loss 2.8646 (2.6989) Prec@1 36.719 (41.787) Prec@5 66.406 (67.036) Epoch: [14][8420/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.0806 (2.6989) Prec@1 36.719 (41.787) Prec@5 63.281 (67.038) Epoch: [14][8430/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.2359 (2.6989) Prec@1 39.062 (41.789) Prec@5 64.844 (67.038) Epoch: [14][8440/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8434 (2.6989) Prec@1 41.406 (41.788) Prec@5 67.188 (67.038) Epoch: [14][8450/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6670 (2.6989) Prec@1 48.438 (41.789) Prec@5 65.625 (67.039) Epoch: [14][8460/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7609 (2.6989) Prec@1 42.188 (41.791) Prec@5 65.625 (67.040) Epoch: [14][8470/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4343 (2.6989) Prec@1 43.750 (41.790) Prec@5 71.094 (67.039) Epoch: [14][8480/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7836 (2.6989) Prec@1 41.406 (41.792) Prec@5 64.844 (67.040) Epoch: [14][8490/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4221 (2.6988) Prec@1 42.969 (41.795) Prec@5 71.094 (67.042) Epoch: [14][8500/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5961 (2.6987) Prec@1 42.969 (41.795) Prec@5 64.844 (67.042) Epoch: [14][8510/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8677 (2.6987) Prec@1 31.250 (41.796) Prec@5 64.844 (67.042) Epoch: [14][8520/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7795 (2.6987) Prec@1 39.062 (41.796) Prec@5 65.625 (67.042) Epoch: [14][8530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5830 (2.6987) Prec@1 40.625 (41.795) Prec@5 68.750 (67.042) Epoch: [14][8540/10010] Time 0.341 (0.331) Data 0.002 (0.001) Loss 2.8585 (2.6988) Prec@1 39.062 (41.794) Prec@5 64.062 (67.040) Epoch: [14][8550/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6476 (2.6990) Prec@1 41.406 (41.791) Prec@5 67.188 (67.038) Epoch: [14][8560/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6263 (2.6989) Prec@1 46.094 (41.794) Prec@5 64.844 (67.038) Epoch: [14][8570/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6031 (2.6989) Prec@1 43.750 (41.794) Prec@5 66.406 (67.038) Epoch: [14][8580/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5838 (2.6990) Prec@1 41.406 (41.793) Prec@5 71.875 (67.036) Epoch: [14][8590/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7012 (2.6991) Prec@1 39.062 (41.793) Prec@5 65.625 (67.035) Epoch: [14][8600/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6631 (2.6991) Prec@1 39.062 (41.792) Prec@5 68.750 (67.036) Epoch: [14][8610/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5673 (2.6992) Prec@1 48.438 (41.792) Prec@5 72.656 (67.037) Epoch: [14][8620/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6297 (2.6991) Prec@1 41.406 (41.793) Prec@5 67.969 (67.038) Epoch: [14][8630/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6746 (2.6991) Prec@1 39.844 (41.794) Prec@5 67.188 (67.038) Epoch: [14][8640/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.3554 (2.6989) Prec@1 49.219 (41.797) Prec@5 67.188 (67.041) Epoch: [14][8650/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6794 (2.6990) Prec@1 46.094 (41.797) Prec@5 67.188 (67.040) Epoch: [14][8660/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7858 (2.6989) Prec@1 39.062 (41.799) Prec@5 65.625 (67.040) Epoch: [14][8670/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.1463 (2.6988) Prec@1 50.781 (41.803) Prec@5 73.438 (67.043) Epoch: [14][8680/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6040 (2.6988) Prec@1 46.094 (41.804) Prec@5 68.750 (67.044) Epoch: [14][8690/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.9479 (2.6988) Prec@1 36.719 (41.802) Prec@5 60.938 (67.043) Epoch: [14][8700/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6663 (2.6989) Prec@1 44.531 (41.800) Prec@5 72.656 (67.044) Epoch: [14][8710/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.2843 (2.6990) Prec@1 30.469 (41.798) Prec@5 61.719 (67.042) Epoch: [14][8720/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5720 (2.6990) Prec@1 46.094 (41.799) Prec@5 71.094 (67.042) Epoch: [14][8730/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7308 (2.6990) Prec@1 45.312 (41.799) Prec@5 66.406 (67.041) Epoch: [14][8740/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.0529 (2.6991) Prec@1 32.812 (41.800) Prec@5 61.719 (67.041) Epoch: [14][8750/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.5644 (2.6990) Prec@1 45.312 (41.800) Prec@5 71.094 (67.041) Epoch: [14][8760/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9696 (2.6991) Prec@1 40.625 (41.800) Prec@5 61.719 (67.040) Epoch: [14][8770/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9189 (2.6991) Prec@1 35.938 (41.799) Prec@5 61.719 (67.039) Epoch: [14][8780/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4395 (2.6991) Prec@1 42.969 (41.799) Prec@5 74.219 (67.040) Epoch: [14][8790/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.9124 (2.6990) Prec@1 35.938 (41.801) Prec@5 63.281 (67.042) Epoch: [14][8800/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4743 (2.6989) Prec@1 50.000 (41.805) Prec@5 71.094 (67.043) Epoch: [14][8810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4467 (2.6988) Prec@1 48.438 (41.806) Prec@5 71.875 (67.045) Epoch: [14][8820/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2780 (2.6987) Prec@1 50.000 (41.807) Prec@5 71.094 (67.046) Epoch: [14][8830/10010] Time 0.352 (0.331) Data 0.000 (0.001) Loss 2.7516 (2.6986) Prec@1 38.281 (41.807) Prec@5 64.844 (67.045) Epoch: [14][8840/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9986 (2.6985) Prec@1 39.844 (41.808) Prec@5 64.062 (67.049) Epoch: [14][8850/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7844 (2.6985) Prec@1 36.719 (41.810) Prec@5 69.531 (67.053) Epoch: [14][8860/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.4915 (2.6984) Prec@1 46.875 (41.813) Prec@5 71.094 (67.054) Epoch: [14][8870/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5435 (2.6983) Prec@1 51.562 (41.815) Prec@5 69.531 (67.055) Epoch: [14][8880/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7800 (2.6984) Prec@1 42.188 (41.815) Prec@5 61.719 (67.053) Epoch: [14][8890/10010] Time 0.333 (0.331) Data 0.003 (0.001) Loss 2.8676 (2.6985) Prec@1 36.719 (41.814) Prec@5 64.844 (67.052) Epoch: [14][8900/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5638 (2.6986) Prec@1 42.969 (41.814) Prec@5 67.969 (67.051) Epoch: [14][8910/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7375 (2.6986) Prec@1 44.531 (41.815) Prec@5 70.312 (67.050) Epoch: [14][8920/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7630 (2.6986) Prec@1 38.281 (41.814) Prec@5 60.156 (67.049) Epoch: [14][8930/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.7800 (2.6985) Prec@1 46.094 (41.816) Prec@5 62.500 (67.049) Epoch: [14][8940/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5482 (2.6984) Prec@1 49.219 (41.818) Prec@5 67.188 (67.051) Epoch: [14][8950/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6904 (2.6984) Prec@1 44.531 (41.819) Prec@5 70.312 (67.051) Epoch: [14][8960/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7359 (2.6984) Prec@1 42.188 (41.820) Prec@5 67.969 (67.052) Epoch: [14][8970/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6173 (2.6985) Prec@1 45.312 (41.819) Prec@5 63.281 (67.051) Epoch: [14][8980/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.0156 (2.6985) Prec@1 39.062 (41.819) Prec@5 60.938 (67.050) Epoch: [14][8990/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5576 (2.6985) Prec@1 46.094 (41.819) Prec@5 68.750 (67.049) Epoch: [14][9000/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0747 (2.6985) Prec@1 32.812 (41.818) Prec@5 59.375 (67.049) Epoch: [14][9010/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4736 (2.6985) Prec@1 45.312 (41.818) Prec@5 75.000 (67.050) Epoch: [14][9020/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8481 (2.6984) Prec@1 40.625 (41.818) Prec@5 64.062 (67.051) Epoch: [14][9030/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6784 (2.6985) Prec@1 43.750 (41.819) Prec@5 68.750 (67.051) Epoch: [14][9040/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7370 (2.6984) Prec@1 33.594 (41.818) Prec@5 65.625 (67.052) Epoch: [14][9050/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6998 (2.6984) Prec@1 45.312 (41.818) Prec@5 65.625 (67.052) Epoch: [14][9060/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.1728 (2.6986) Prec@1 36.719 (41.816) Prec@5 62.500 (67.049) Epoch: [14][9070/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.8039 (2.6987) Prec@1 38.281 (41.817) Prec@5 66.406 (67.047) Epoch: [14][9080/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8689 (2.6988) Prec@1 40.625 (41.815) Prec@5 64.062 (67.045) Epoch: [14][9090/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1389 (2.6988) Prec@1 37.500 (41.815) Prec@5 64.062 (67.046) Epoch: [14][9100/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0638 (2.6989) Prec@1 39.844 (41.813) Prec@5 60.938 (67.041) Epoch: [14][9110/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4248 (2.6989) Prec@1 42.969 (41.814) Prec@5 75.000 (67.044) Epoch: [14][9120/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7875 (2.6989) Prec@1 39.844 (41.815) Prec@5 62.500 (67.044) Epoch: [14][9130/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.1696 (2.6989) Prec@1 32.812 (41.814) Prec@5 56.250 (67.044) Epoch: [14][9140/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7017 (2.6990) Prec@1 39.062 (41.814) Prec@5 65.625 (67.042) Epoch: [14][9150/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6961 (2.6989) Prec@1 41.406 (41.814) Prec@5 64.844 (67.043) Epoch: [14][9160/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0489 (2.6989) Prec@1 35.938 (41.814) Prec@5 58.594 (67.041) Epoch: [14][9170/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5572 (2.6989) Prec@1 42.969 (41.812) Prec@5 70.312 (67.042) Epoch: [14][9180/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4265 (2.6990) Prec@1 47.656 (41.811) Prec@5 66.406 (67.038) Epoch: [14][9190/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8008 (2.6990) Prec@1 37.500 (41.811) Prec@5 66.406 (67.039) Epoch: [14][9200/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7094 (2.6990) Prec@1 42.188 (41.811) Prec@5 71.875 (67.039) Epoch: [14][9210/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8229 (2.6990) Prec@1 36.719 (41.812) Prec@5 63.281 (67.038) Epoch: [14][9220/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7500 (2.6991) Prec@1 40.625 (41.811) Prec@5 64.844 (67.036) Epoch: [14][9230/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4213 (2.6990) Prec@1 45.312 (41.812) Prec@5 69.531 (67.039) Epoch: [14][9240/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.2317 (2.6990) Prec@1 46.875 (41.812) Prec@5 74.219 (67.039) Epoch: [14][9250/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7184 (2.6989) Prec@1 39.062 (41.811) Prec@5 64.062 (67.040) Epoch: [14][9260/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6129 (2.6989) Prec@1 42.188 (41.813) Prec@5 67.969 (67.041) Epoch: [14][9270/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5806 (2.6988) Prec@1 39.844 (41.814) Prec@5 67.969 (67.042) Epoch: [14][9280/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7683 (2.6988) Prec@1 47.656 (41.816) Prec@5 67.188 (67.044) Epoch: [14][9290/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6883 (2.6988) Prec@1 45.312 (41.817) Prec@5 66.406 (67.044) Epoch: [14][9300/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.3956 (2.6988) Prec@1 46.875 (41.816) Prec@5 75.781 (67.045) Epoch: [14][9310/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8324 (2.6987) Prec@1 41.406 (41.818) Prec@5 67.969 (67.045) Epoch: [14][9320/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4785 (2.6987) Prec@1 46.094 (41.818) Prec@5 71.875 (67.046) Epoch: [14][9330/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6347 (2.6986) Prec@1 34.375 (41.817) Prec@5 69.531 (67.047) Epoch: [14][9340/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0983 (2.6987) Prec@1 40.625 (41.819) Prec@5 63.281 (67.047) Epoch: [14][9350/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8560 (2.6987) Prec@1 38.281 (41.818) Prec@5 62.500 (67.045) Epoch: [14][9360/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.2386 (2.6986) Prec@1 53.125 (41.820) Prec@5 75.000 (67.046) Epoch: [14][9370/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7907 (2.6986) Prec@1 39.844 (41.821) Prec@5 61.719 (67.046) Epoch: [14][9380/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6708 (2.6986) Prec@1 43.750 (41.818) Prec@5 65.625 (67.045) Epoch: [14][9390/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8301 (2.6987) Prec@1 39.062 (41.814) Prec@5 66.406 (67.044) Epoch: [14][9400/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7143 (2.6987) Prec@1 38.281 (41.813) Prec@5 64.062 (67.043) Epoch: [14][9410/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.5682 (2.6988) Prec@1 44.531 (41.811) Prec@5 70.312 (67.044) Epoch: [14][9420/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5963 (2.6988) Prec@1 47.656 (41.812) Prec@5 67.969 (67.044) Epoch: [14][9430/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4796 (2.6988) Prec@1 46.875 (41.813) Prec@5 73.438 (67.044) Epoch: [14][9440/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5764 (2.6988) Prec@1 43.750 (41.812) Prec@5 73.438 (67.045) Epoch: [14][9450/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5904 (2.6988) Prec@1 39.844 (41.811) Prec@5 69.531 (67.045) Epoch: [14][9460/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8519 (2.6989) Prec@1 40.625 (41.812) Prec@5 64.062 (67.045) Epoch: [14][9470/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7232 (2.6990) Prec@1 40.625 (41.812) Prec@5 64.062 (67.045) Epoch: [14][9480/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0361 (2.6990) Prec@1 37.500 (41.812) Prec@5 62.500 (67.044) Epoch: [14][9490/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.1554 (2.6990) Prec@1 35.938 (41.811) Prec@5 63.281 (67.044) Epoch: [14][9500/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7150 (2.6991) Prec@1 46.875 (41.810) Prec@5 65.625 (67.043) Epoch: [14][9510/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4782 (2.6992) Prec@1 43.750 (41.807) Prec@5 72.656 (67.042) Epoch: [14][9520/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6790 (2.6991) Prec@1 47.656 (41.811) Prec@5 64.844 (67.043) Epoch: [14][9530/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8429 (2.6993) Prec@1 37.500 (41.810) Prec@5 58.594 (67.040) Epoch: [14][9540/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6043 (2.6992) Prec@1 47.656 (41.813) Prec@5 67.969 (67.043) Epoch: [14][9550/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0030 (2.6992) Prec@1 29.688 (41.811) Prec@5 61.719 (67.042) Epoch: [14][9560/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7981 (2.6992) Prec@1 41.406 (41.813) Prec@5 63.281 (67.041) Epoch: [14][9570/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4665 (2.6992) Prec@1 47.656 (41.813) Prec@5 67.969 (67.041) Epoch: [14][9580/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5585 (2.6991) Prec@1 45.312 (41.814) Prec@5 72.656 (67.043) Epoch: [14][9590/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.1947 (2.6992) Prec@1 34.375 (41.814) Prec@5 55.469 (67.039) /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: [14][9600/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.2389 (2.6993) Prec@1 35.156 (41.813) Prec@5 57.031 (67.039) Epoch: [14][9610/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.7620 (2.6993) Prec@1 39.062 (41.813) Prec@5 66.406 (67.038) Epoch: [14][9620/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5739 (2.6993) Prec@1 46.875 (41.813) Prec@5 68.750 (67.038) Epoch: [14][9630/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7732 (2.6993) Prec@1 36.719 (41.814) Prec@5 63.281 (67.038) Epoch: [14][9640/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.6600 (2.6992) Prec@1 42.969 (41.816) Prec@5 67.188 (67.040) Epoch: [14][9650/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9214 (2.6992) Prec@1 41.406 (41.817) Prec@5 64.844 (67.042) Epoch: [14][9660/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.8304 (2.6992) Prec@1 39.844 (41.815) Prec@5 62.500 (67.041) Epoch: [14][9670/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7242 (2.6993) Prec@1 42.969 (41.815) Prec@5 67.969 (67.041) Epoch: [14][9680/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8082 (2.6994) Prec@1 40.625 (41.814) Prec@5 62.500 (67.040) Epoch: [14][9690/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.4873 (2.6994) Prec@1 48.438 (41.815) Prec@5 67.969 (67.040) Epoch: [14][9700/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6830 (2.6994) Prec@1 45.312 (41.815) Prec@5 65.625 (67.039) Epoch: [14][9710/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7935 (2.6995) Prec@1 41.406 (41.813) Prec@5 66.406 (67.038) Epoch: [14][9720/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8444 (2.6995) Prec@1 42.188 (41.813) Prec@5 62.500 (67.037) Epoch: [14][9730/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.1221 (2.6995) Prec@1 36.719 (41.812) Prec@5 60.156 (67.037) Epoch: [14][9740/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6483 (2.6995) Prec@1 39.844 (41.813) Prec@5 67.969 (67.039) Epoch: [14][9750/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9469 (2.6996) Prec@1 34.375 (41.812) Prec@5 65.625 (67.038) Epoch: [14][9760/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5974 (2.6996) Prec@1 41.406 (41.810) Prec@5 67.969 (67.036) Epoch: [14][9770/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5671 (2.6997) Prec@1 44.531 (41.809) Prec@5 70.312 (67.036) Epoch: [14][9780/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8341 (2.6997) Prec@1 36.719 (41.809) Prec@5 65.625 (67.037) Epoch: [14][9790/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5866 (2.6996) Prec@1 39.062 (41.809) Prec@5 65.625 (67.039) Epoch: [14][9800/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7403 (2.6997) Prec@1 43.750 (41.806) Prec@5 67.188 (67.037) Epoch: [14][9810/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5477 (2.6997) Prec@1 36.719 (41.805) Prec@5 71.094 (67.037) Epoch: [14][9820/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4114 (2.6998) Prec@1 42.969 (41.803) Prec@5 72.656 (67.035) Epoch: [14][9830/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4930 (2.6998) Prec@1 40.625 (41.804) Prec@5 68.750 (67.034) Epoch: [14][9840/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8452 (2.6997) Prec@1 39.062 (41.807) Prec@5 64.844 (67.037) Epoch: [14][9850/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7742 (2.6996) Prec@1 40.625 (41.807) Prec@5 67.188 (67.039) Epoch: [14][9860/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.8029 (2.6997) Prec@1 38.281 (41.805) Prec@5 71.094 (67.038) Epoch: [14][9870/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4517 (2.6997) Prec@1 46.094 (41.805) Prec@5 72.656 (67.038) Epoch: [14][9880/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6874 (2.6997) Prec@1 41.406 (41.804) Prec@5 68.750 (67.038) Epoch: [14][9890/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6474 (2.6997) Prec@1 44.531 (41.804) Prec@5 69.531 (67.038) Epoch: [14][9900/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7543 (2.6997) Prec@1 40.625 (41.803) Prec@5 69.531 (67.038) Epoch: [14][9910/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6337 (2.6997) Prec@1 43.750 (41.802) Prec@5 72.656 (67.039) Epoch: [14][9920/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6216 (2.6998) Prec@1 50.000 (41.801) Prec@5 70.312 (67.037) Epoch: [14][9930/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6473 (2.6998) Prec@1 39.844 (41.800) Prec@5 70.312 (67.036) Epoch: [14][9940/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8904 (2.6998) Prec@1 38.281 (41.801) Prec@5 61.719 (67.036) Epoch: [14][9950/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4200 (2.6999) Prec@1 42.188 (41.800) Prec@5 68.750 (67.035) Epoch: [14][9960/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3918 (2.6999) Prec@1 48.438 (41.801) Prec@5 74.219 (67.036) Epoch: [14][9970/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4661 (2.6999) Prec@1 51.562 (41.803) Prec@5 71.094 (67.038) Epoch: [14][9980/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4260 (2.6998) Prec@1 46.094 (41.804) Prec@5 71.875 (67.039) Epoch: [14][9990/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3948 (2.6998) Prec@1 45.312 (41.804) Prec@5 73.438 (67.039) Epoch: [14][10000/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8367 (2.6997) Prec@1 35.938 (41.805) Prec@5 68.750 (67.040) Test: [0/391] Time 1.470 (1.470) Loss 1.1188 (1.1188) Prec@1 76.562 (76.562) Prec@5 89.844 (89.844) Test: [10/391] Time 0.102 (0.229) Loss 2.3919 (1.4631) Prec@1 50.000 (64.489) Prec@5 74.219 (86.861) Test: [20/391] Time 0.102 (0.171) Loss 2.2849 (1.9455) Prec@1 47.656 (55.060) Prec@5 75.000 (79.985) Test: [30/391] Time 0.107 (0.150) Loss 2.3046 (2.2327) Prec@1 48.438 (49.849) Prec@5 77.344 (75.680) Test: [40/391] Time 0.109 (0.139) Loss 3.0021 (2.0607) Prec@1 32.812 (53.316) Prec@5 56.250 (77.649) Test: [50/391] Time 0.107 (0.135) Loss 1.8958 (2.1555) Prec@1 56.250 (51.562) Prec@5 79.688 (76.578) Test: [60/391] Time 0.107 (0.130) Loss 1.2571 (2.0310) Prec@1 65.625 (54.098) Prec@5 87.500 (78.240) Test: [70/391] Time 0.110 (0.127) Loss 2.4352 (2.1200) Prec@1 35.156 (51.750) Prec@5 78.906 (76.871) Test: [80/391] Time 0.116 (0.125) Loss 1.9767 (2.1342) Prec@1 50.000 (50.646) Prec@5 78.125 (76.649) Test: [90/391] Time 0.104 (0.123) Loss 2.6555 (2.1361) Prec@1 32.812 (50.043) Prec@5 77.344 (76.949) Test: [100/391] Time 0.109 (0.122) Loss 1.6461 (2.1349) Prec@1 53.906 (49.474) Prec@5 84.375 (77.073) Test: [110/391] Time 0.109 (0.121) Loss 1.9856 (2.1230) Prec@1 42.969 (49.071) Prec@5 86.719 (77.506) Test: [120/391] Time 0.106 (0.119) Loss 2.0670 (2.1066) Prec@1 44.531 (49.477) Prec@5 80.469 (77.983) Test: [130/391] Time 0.109 (0.119) Loss 1.6181 (2.0910) Prec@1 61.719 (49.833) Prec@5 82.812 (78.167) Test: [140/391] Time 0.172 (0.119) Loss 2.3886 (2.0983) Prec@1 44.531 (49.756) Prec@5 73.438 (78.025) Test: [150/391] Time 0.107 (0.118) Loss 2.0816 (2.0885) Prec@1 43.750 (49.928) Prec@5 78.125 (78.094) Test: [160/391] Time 0.105 (0.117) Loss 1.8342 (2.0896) Prec@1 50.000 (50.063) Prec@5 83.594 (78.159) Test: [170/391] Time 0.106 (0.117) Loss 2.4633 (2.1409) Prec@1 43.750 (49.397) Prec@5 74.219 (77.307) Test: [180/391] Time 0.109 (0.116) Loss 3.5288 (2.1861) Prec@1 21.875 (48.653) Prec@5 60.156 (76.545) Test: [190/391] Time 0.105 (0.116) Loss 3.7360 (2.2208) Prec@1 28.125 (48.208) Prec@5 60.156 (75.953) Test: [200/391] Time 0.104 (0.115) Loss 3.4196 (2.2623) Prec@1 30.469 (47.610) Prec@5 54.688 (75.257) Test: [210/391] Time 0.112 (0.115) Loss 1.7830 (2.2758) Prec@1 57.031 (47.334) Prec@5 78.125 (75.074) Test: [220/391] Time 0.110 (0.115) Loss 1.5078 (2.2885) Prec@1 67.188 (47.320) Prec@5 84.375 (74.784) Test: [230/391] Time 0.102 (0.114) Loss 4.4263 (2.3163) Prec@1 21.094 (46.895) Prec@5 37.500 (74.334) Test: [240/391] Time 0.114 (0.114) Loss 2.4659 (2.3368) Prec@1 45.312 (46.736) Prec@5 69.531 (73.953) Test: [250/391] Time 0.111 (0.114) Loss 2.4503 (2.3690) Prec@1 45.312 (46.249) Prec@5 73.438 (73.512) Test: [260/391] Time 0.109 (0.114) Loss 2.9224 (2.3881) Prec@1 42.188 (45.821) Prec@5 63.281 (73.279) Test: [270/391] Time 0.102 (0.114) Loss 3.4056 (2.4044) Prec@1 23.438 (45.650) Prec@5 51.562 (72.893) Test: [280/391] Time 0.110 (0.113) Loss 2.2163 (2.4186) Prec@1 44.531 (45.438) Prec@5 75.781 (72.637) Test: [290/391] Time 0.110 (0.114) Loss 2.4322 (2.4373) Prec@1 34.375 (45.194) Prec@5 72.656 (72.326) Test: [300/391] Time 0.104 (0.113) Loss 2.6429 (2.4620) Prec@1 46.094 (44.812) Prec@5 73.438 (71.904) Test: [310/391] Time 0.119 (0.113) Loss 2.6026 (2.4733) Prec@1 47.656 (44.757) Prec@5 71.875 (71.747) Test: [320/391] Time 0.104 (0.113) Loss 2.0677 (2.4842) Prec@1 50.000 (44.689) Prec@5 78.125 (71.566) Test: [330/391] Time 0.113 (0.113) Loss 3.6680 (2.5167) Prec@1 28.125 (44.149) Prec@5 50.000 (71.037) Test: [340/391] Time 0.108 (0.113) Loss 2.8636 (2.5231) Prec@1 33.594 (44.004) Prec@5 66.406 (70.876) Test: [350/391] Time 0.113 (0.113) Loss 2.3242 (2.5331) Prec@1 47.656 (43.857) Prec@5 74.219 (70.713) Test: [360/391] Time 0.109 (0.113) Loss 2.5687 (2.5430) Prec@1 39.844 (43.748) Prec@5 67.188 (70.507) Test: [370/391] Time 0.105 (0.113) Loss 2.0197 (2.5346) Prec@1 48.438 (43.841) Prec@5 82.812 (70.641) Test: [380/391] Time 0.095 (0.113) Loss 2.1743 (2.5354) Prec@1 48.438 (43.846) Prec@5 78.125 (70.606) Test: [390/391] Time 0.070 (0.112) Loss 4.0047 (2.5212) Prec@1 31.250 (44.168) Prec@5 46.250 (70.822) * Prec@1 44.168 Prec@5 70.822 Epoch: [15][0/10010] Time 2.658 (2.658) Data 2.490 (2.490) Loss 2.4249 (2.4249) Prec@1 45.312 (45.312) Prec@5 67.969 (67.969) Epoch: [15][10/10010] Time 0.320 (0.535) Data 0.001 (0.227) Loss 2.6988 (2.8298) Prec@1 43.750 (41.193) Prec@5 68.750 (64.347) Epoch: [15][20/10010] Time 0.319 (0.434) Data 0.001 (0.119) Loss 2.7196 (2.8310) Prec@1 39.062 (39.769) Prec@5 65.625 (64.509) Epoch: [15][30/10010] Time 0.324 (0.398) Data 0.000 (0.081) Loss 2.6816 (2.8138) Prec@1 42.188 (40.625) Prec@5 66.406 (64.592) Epoch: [15][40/10010] Time 0.327 (0.379) Data 0.000 (0.061) Loss 2.5761 (2.7663) Prec@1 46.875 (41.540) Prec@5 65.625 (65.587) Epoch: [15][50/10010] Time 0.342 (0.369) Data 0.001 (0.049) Loss 2.6488 (2.7485) Prec@1 44.531 (41.513) Prec@5 61.719 (65.564) Epoch: [15][60/10010] Time 0.328 (0.364) Data 0.001 (0.041) Loss 2.3361 (2.7301) Prec@1 48.438 (41.419) Prec@5 75.000 (66.163) Epoch: [15][70/10010] Time 0.349 (0.359) Data 0.000 (0.036) Loss 2.8385 (2.7160) Prec@1 38.281 (41.483) Prec@5 64.062 (66.461) Epoch: [15][80/10010] Time 0.326 (0.356) Data 0.001 (0.031) Loss 2.6881 (2.7308) Prec@1 39.844 (41.088) Prec@5 66.406 (66.300) Epoch: [15][90/10010] Time 0.326 (0.353) Data 0.001 (0.028) Loss 2.7139 (2.7194) Prec@1 39.844 (41.174) Prec@5 68.750 (66.552) Epoch: [15][100/10010] Time 0.328 (0.351) Data 0.001 (0.025) Loss 2.7083 (2.7179) Prec@1 38.281 (41.174) Prec@5 62.500 (66.754) Epoch: [15][110/10010] Time 0.322 (0.349) Data 0.001 (0.023) Loss 2.7535 (2.7057) Prec@1 39.844 (41.371) Prec@5 62.500 (66.800) Epoch: [15][120/10010] Time 0.341 (0.347) Data 0.000 (0.021) Loss 2.7048 (2.6964) Prec@1 42.188 (41.587) Prec@5 65.625 (67.052) Epoch: [15][130/10010] Time 0.330 (0.347) Data 0.001 (0.020) Loss 2.8843 (2.6963) Prec@1 39.844 (41.633) Prec@5 67.969 (67.152) Epoch: [15][140/10010] Time 0.330 (0.345) Data 0.000 (0.018) Loss 2.9399 (2.6902) Prec@1 35.156 (41.661) Prec@5 58.594 (67.226) Epoch: [15][150/10010] Time 0.337 (0.344) Data 0.001 (0.017) Loss 2.4601 (2.6855) Prec@1 49.219 (41.934) Prec@5 70.312 (67.348) Epoch: [15][160/10010] Time 0.322 (0.343) Data 0.001 (0.016) Loss 2.9707 (2.6903) Prec@1 41.406 (41.872) Prec@5 59.375 (67.255) Epoch: [15][170/10010] Time 0.341 (0.342) Data 0.001 (0.015) Loss 2.2205 (2.6918) Prec@1 47.656 (41.831) Prec@5 76.562 (67.256) Epoch: [15][180/10010] Time 0.327 (0.342) Data 0.001 (0.014) Loss 2.4053 (2.6981) Prec@1 46.094 (41.687) Prec@5 72.656 (67.105) Epoch: [15][190/10010] Time 0.323 (0.341) Data 0.001 (0.014) Loss 2.5032 (2.6928) Prec@1 41.406 (41.721) Prec@5 71.875 (67.192) Epoch: [15][200/10010] Time 0.316 (0.340) Data 0.001 (0.013) Loss 2.6315 (2.6857) Prec@1 46.875 (41.888) Prec@5 71.094 (67.331) Epoch: [15][210/10010] Time 0.319 (0.340) Data 0.000 (0.012) Loss 2.8522 (2.6820) Prec@1 45.312 (41.936) Prec@5 61.719 (67.376) Epoch: [15][220/10010] Time 0.321 (0.340) Data 0.001 (0.012) Loss 2.6097 (2.6803) Prec@1 42.188 (41.922) Prec@5 71.875 (67.428) Epoch: [15][230/10010] Time 0.345 (0.339) Data 0.000 (0.011) Loss 2.7662 (2.6793) Prec@1 41.406 (41.893) Prec@5 67.969 (67.482) Epoch: [15][240/10010] Time 0.330 (0.339) Data 0.001 (0.011) Loss 2.8166 (2.6793) Prec@1 40.625 (41.880) Prec@5 64.844 (67.460) Epoch: [15][250/10010] Time 0.333 (0.338) Data 0.000 (0.011) Loss 2.8567 (2.6720) Prec@1 39.844 (42.051) Prec@5 67.188 (67.558) Epoch: [15][260/10010] Time 0.340 (0.338) Data 0.001 (0.010) Loss 2.7030 (2.6739) Prec@1 42.188 (42.056) Prec@5 66.406 (67.517) Epoch: [15][270/10010] Time 0.326 (0.338) Data 0.001 (0.010) Loss 2.5830 (2.6708) Prec@1 40.625 (42.058) Prec@5 67.969 (67.536) Epoch: [15][280/10010] Time 0.329 (0.338) Data 0.000 (0.009) Loss 2.5149 (2.6705) Prec@1 46.094 (42.051) Prec@5 71.094 (67.496) Epoch: [15][290/10010] Time 0.323 (0.337) Data 0.001 (0.009) Loss 2.6614 (2.6724) Prec@1 39.844 (41.986) Prec@5 70.312 (67.453) Epoch: [15][300/10010] Time 0.326 (0.337) Data 0.000 (0.009) Loss 2.6429 (2.6725) Prec@1 43.750 (41.990) Prec@5 64.844 (67.455) Epoch: [15][310/10010] Time 0.325 (0.337) Data 0.000 (0.009) Loss 2.7455 (2.6736) Prec@1 39.844 (41.979) Prec@5 67.188 (67.434) Epoch: [15][320/10010] Time 0.328 (0.337) Data 0.000 (0.008) Loss 2.6482 (2.6729) Prec@1 49.219 (42.012) Prec@5 66.406 (67.450) Epoch: [15][330/10010] Time 0.332 (0.336) Data 0.001 (0.008) Loss 2.5908 (2.6714) Prec@1 48.438 (42.018) Prec@5 68.750 (67.459) Epoch: [15][340/10010] Time 0.337 (0.336) Data 0.001 (0.008) Loss 2.8190 (2.6729) Prec@1 46.094 (42.043) Prec@5 66.406 (67.430) Epoch: [15][350/10010] Time 0.322 (0.337) Data 0.001 (0.008) Loss 2.8258 (2.6730) Prec@1 37.500 (42.018) Prec@5 67.188 (67.448) Epoch: [15][360/10010] Time 0.331 (0.336) Data 0.001 (0.008) Loss 2.4752 (2.6701) Prec@1 46.094 (42.055) Prec@5 67.969 (67.519) Epoch: [15][370/10010] Time 0.344 (0.336) Data 0.001 (0.007) Loss 2.7252 (2.6707) Prec@1 35.938 (42.034) Prec@5 68.750 (67.520) Epoch: [15][380/10010] Time 0.337 (0.336) Data 0.001 (0.007) Loss 2.4347 (2.6732) Prec@1 50.000 (42.017) Prec@5 68.750 (67.450) Epoch: [15][390/10010] Time 0.338 (0.336) Data 0.000 (0.007) Loss 2.8352 (2.6713) Prec@1 47.656 (42.076) Prec@5 65.625 (67.479) Epoch: [15][400/10010] Time 0.328 (0.336) Data 0.000 (0.007) Loss 2.3233 (2.6740) Prec@1 48.438 (42.039) Prec@5 73.438 (67.433) Epoch: [15][410/10010] Time 0.326 (0.336) Data 0.000 (0.007) Loss 2.1468 (2.6737) Prec@1 52.344 (42.024) Prec@5 75.781 (67.450) Epoch: [15][420/10010] Time 0.335 (0.336) Data 0.001 (0.007) Loss 2.6439 (2.6722) Prec@1 36.719 (42.069) Prec@5 71.094 (67.453) Epoch: [15][430/10010] Time 0.337 (0.336) Data 0.000 (0.006) Loss 2.9186 (2.6751) Prec@1 37.500 (42.050) Prec@5 64.062 (67.394) Epoch: [15][440/10010] Time 0.332 (0.335) Data 0.001 (0.006) Loss 2.2527 (2.6742) Prec@1 47.656 (42.069) Prec@5 70.312 (67.393) Epoch: [15][450/10010] Time 0.329 (0.335) Data 0.000 (0.006) Loss 2.7659 (2.6753) Prec@1 40.625 (42.033) Prec@5 64.062 (67.373) Epoch: [15][460/10010] Time 0.326 (0.335) Data 0.001 (0.006) Loss 2.6370 (2.6748) Prec@1 41.406 (42.084) Prec@5 67.969 (67.377) Epoch: [15][470/10010] Time 0.324 (0.335) Data 0.001 (0.006) Loss 2.6737 (2.6765) Prec@1 43.750 (42.045) Prec@5 64.844 (67.342) Epoch: [15][480/10010] Time 0.318 (0.335) Data 0.001 (0.006) Loss 2.5577 (2.6779) Prec@1 45.312 (42.043) Prec@5 68.750 (67.319) Epoch: [15][490/10010] Time 0.321 (0.335) Data 0.001 (0.006) Loss 2.8368 (2.6789) Prec@1 36.719 (42.001) Prec@5 63.281 (67.293) Epoch: [15][500/10010] Time 0.328 (0.335) Data 0.001 (0.006) Loss 2.5772 (2.6779) Prec@1 41.406 (42.032) Prec@5 67.969 (67.297) Epoch: [15][510/10010] Time 0.330 (0.334) Data 0.001 (0.006) Loss 2.5816 (2.6744) Prec@1 48.438 (42.097) Prec@5 71.875 (67.347) Epoch: [15][520/10010] Time 0.335 (0.334) Data 0.001 (0.005) Loss 2.3243 (2.6745) Prec@1 44.531 (42.093) Prec@5 76.562 (67.345) Epoch: [15][530/10010] Time 0.339 (0.334) Data 0.000 (0.005) Loss 2.5583 (2.6734) Prec@1 42.188 (42.107) Prec@5 66.406 (67.371) Epoch: [15][540/10010] Time 0.324 (0.334) Data 0.000 (0.005) Loss 2.8066 (2.6747) Prec@1 41.406 (42.101) Prec@5 62.500 (67.329) Epoch: [15][550/10010] Time 0.342 (0.334) Data 0.001 (0.005) Loss 2.7221 (2.6760) Prec@1 46.094 (42.088) Prec@5 67.188 (67.309) Epoch: [15][560/10010] Time 0.321 (0.334) Data 0.000 (0.005) Loss 2.1164 (2.6754) Prec@1 49.219 (42.126) Prec@5 74.219 (67.318) Epoch: [15][570/10010] Time 0.338 (0.334) Data 0.001 (0.005) Loss 2.5346 (2.6750) Prec@1 36.719 (42.125) Prec@5 70.312 (67.316) Epoch: [15][580/10010] Time 0.344 (0.334) Data 0.000 (0.005) Loss 2.4702 (2.6759) Prec@1 44.531 (42.103) Prec@5 72.656 (67.299) Epoch: [15][590/10010] Time 0.327 (0.334) Data 0.000 (0.005) Loss 2.8687 (2.6756) Prec@1 39.062 (42.116) Prec@5 60.156 (67.304) Epoch: [15][600/10010] Time 0.331 (0.334) Data 0.001 (0.005) Loss 2.8885 (2.6781) Prec@1 39.062 (42.051) Prec@5 63.281 (67.254) Epoch: [15][610/10010] Time 0.325 (0.334) Data 0.001 (0.005) Loss 2.5689 (2.6765) Prec@1 46.094 (42.085) Prec@5 70.312 (67.283) Epoch: [15][620/10010] Time 0.332 (0.334) Data 0.001 (0.005) Loss 2.9586 (2.6791) Prec@1 33.594 (42.043) Prec@5 60.938 (67.234) Epoch: [15][630/10010] Time 0.316 (0.334) Data 0.001 (0.005) Loss 2.6748 (2.6786) Prec@1 39.062 (42.060) Prec@5 68.750 (67.246) Epoch: [15][640/10010] Time 0.320 (0.334) Data 0.001 (0.005) Loss 2.8220 (2.6791) Prec@1 40.625 (42.024) Prec@5 64.844 (67.242) Epoch: [15][650/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.5824 (2.6767) Prec@1 42.188 (42.053) Prec@5 67.969 (67.272) Epoch: [15][660/10010] Time 0.346 (0.334) Data 0.001 (0.004) Loss 2.7388 (2.6763) Prec@1 41.406 (42.056) Prec@5 67.188 (67.279) Epoch: [15][670/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.8526 (2.6784) Prec@1 40.625 (42.008) Prec@5 67.969 (67.234) Epoch: [15][680/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 2.4593 (2.6778) Prec@1 46.875 (42.003) Prec@5 72.656 (67.238) Epoch: [15][690/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 2.8287 (2.6780) Prec@1 41.406 (42.021) Prec@5 64.844 (67.236) Epoch: [15][700/10010] Time 0.326 (0.333) Data 0.001 (0.004) Loss 2.7322 (2.6782) Prec@1 41.406 (41.998) Prec@5 67.188 (67.223) Epoch: [15][710/10010] Time 0.324 (0.333) Data 0.000 (0.004) Loss 2.6357 (2.6769) Prec@1 46.094 (42.024) Prec@5 65.625 (67.237) Epoch: [15][720/10010] Time 0.338 (0.333) Data 0.000 (0.004) Loss 2.7852 (2.6763) Prec@1 45.312 (42.031) Prec@5 69.531 (67.259) Epoch: [15][730/10010] Time 0.338 (0.333) Data 0.001 (0.004) Loss 2.6689 (2.6775) Prec@1 44.531 (42.021) Prec@5 64.062 (67.249) Epoch: [15][740/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 2.7717 (2.6776) Prec@1 42.188 (42.018) Prec@5 64.844 (67.251) Epoch: [15][750/10010] Time 0.324 (0.333) Data 0.000 (0.004) Loss 2.7577 (2.6767) Prec@1 38.281 (42.026) Prec@5 67.188 (67.271) Epoch: [15][760/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 2.9413 (2.6767) Prec@1 37.500 (42.043) Prec@5 65.625 (67.261) Epoch: [15][770/10010] Time 0.334 (0.333) Data 0.001 (0.004) Loss 3.0151 (2.6758) Prec@1 40.625 (42.049) Prec@5 60.156 (67.285) Epoch: [15][780/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 2.4902 (2.6747) Prec@1 44.531 (42.084) Prec@5 67.188 (67.311) Epoch: [15][790/10010] Time 0.346 (0.333) Data 0.001 (0.004) Loss 2.5509 (2.6750) Prec@1 42.188 (42.072) Prec@5 73.438 (67.315) Epoch: [15][800/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 2.5287 (2.6745) Prec@1 46.875 (42.077) Prec@5 68.750 (67.309) Epoch: [15][810/10010] Time 0.332 (0.333) Data 0.001 (0.004) Loss 2.8948 (2.6747) Prec@1 34.375 (42.064) Prec@5 60.938 (67.314) Epoch: [15][820/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 2.3932 (2.6747) Prec@1 50.000 (42.052) Prec@5 67.969 (67.300) Epoch: [15][830/10010] Time 0.336 (0.333) Data 0.000 (0.004) Loss 2.7280 (2.6749) Prec@1 38.281 (42.061) Prec@5 64.844 (67.293) Epoch: [15][840/10010] Time 0.336 (0.333) Data 0.001 (0.004) Loss 2.2465 (2.6745) Prec@1 48.438 (42.077) Prec@5 75.000 (67.298) Epoch: [15][850/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 2.4146 (2.6738) Prec@1 47.656 (42.081) Prec@5 74.219 (67.321) Epoch: [15][860/10010] Time 0.340 (0.333) Data 0.000 (0.004) Loss 2.7847 (2.6738) Prec@1 39.844 (42.072) Prec@5 64.844 (67.328) Epoch: [15][870/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.9941 (2.6752) Prec@1 38.281 (42.058) Prec@5 63.281 (67.310) Epoch: [15][880/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.9710 (2.6753) Prec@1 33.594 (42.054) Prec@5 64.062 (67.313) Epoch: [15][890/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.8381 (2.6750) Prec@1 38.281 (42.079) Prec@5 63.281 (67.328) Epoch: [15][900/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.8023 (2.6748) Prec@1 42.969 (42.064) Prec@5 67.188 (67.332) Epoch: [15][910/10010] Time 0.347 (0.333) Data 0.001 (0.003) Loss 2.6946 (2.6745) Prec@1 45.312 (42.079) Prec@5 60.938 (67.313) Epoch: [15][920/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 2.3394 (2.6734) Prec@1 48.438 (42.112) Prec@5 72.656 (67.317) Epoch: [15][930/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 2.5863 (2.6728) Prec@1 40.625 (42.141) Prec@5 71.094 (67.345) Epoch: [15][940/10010] Time 0.333 (0.332) Data 0.000 (0.003) Loss 2.4787 (2.6725) Prec@1 45.312 (42.143) Prec@5 66.406 (67.344) Epoch: [15][950/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.5934 (2.6710) Prec@1 46.094 (42.164) Prec@5 71.094 (67.360) Epoch: [15][960/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.3145 (2.6696) Prec@1 47.656 (42.195) Prec@5 72.656 (67.392) Epoch: [15][970/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.7474 (2.6704) Prec@1 39.844 (42.179) Prec@5 67.188 (67.372) Epoch: [15][980/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.8788 (2.6721) Prec@1 39.062 (42.146) Prec@5 66.406 (67.358) Epoch: [15][990/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.7346 (2.6723) Prec@1 38.281 (42.132) Prec@5 62.500 (67.352) Epoch: [15][1000/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.8206 (2.6721) Prec@1 37.500 (42.140) Prec@5 62.500 (67.344) Epoch: [15][1010/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.6364 (2.6723) Prec@1 41.406 (42.131) Prec@5 68.750 (67.346) Epoch: [15][1020/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.3660 (2.6727) Prec@1 44.531 (42.106) Prec@5 77.344 (67.341) Epoch: [15][1030/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.7077 (2.6721) Prec@1 41.406 (42.127) Prec@5 66.406 (67.348) Epoch: [15][1040/10010] Time 0.346 (0.332) Data 0.000 (0.003) Loss 2.6751 (2.6732) Prec@1 39.844 (42.104) Prec@5 64.062 (67.334) Epoch: [15][1050/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.6593 (2.6719) Prec@1 44.531 (42.121) Prec@5 66.406 (67.369) Epoch: [15][1060/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 2.5324 (2.6720) Prec@1 46.094 (42.131) Prec@5 70.312 (67.359) Epoch: [15][1070/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 2.4486 (2.6713) Prec@1 47.656 (42.153) Prec@5 70.312 (67.371) Epoch: [15][1080/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 2.8197 (2.6722) Prec@1 41.406 (42.148) Prec@5 65.625 (67.361) Epoch: [15][1090/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 2.7671 (2.6714) Prec@1 42.188 (42.152) Prec@5 65.625 (67.367) Epoch: [15][1100/10010] Time 0.319 (0.332) Data 0.000 (0.003) Loss 2.4106 (2.6710) Prec@1 48.438 (42.166) Prec@5 75.000 (67.390) Epoch: [15][1110/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.6670 (2.6716) Prec@1 40.625 (42.157) Prec@5 67.188 (67.384) Epoch: [15][1120/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 2.7223 (2.6720) Prec@1 39.062 (42.155) Prec@5 70.312 (67.368) Epoch: [15][1130/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 3.0405 (2.6722) Prec@1 39.062 (42.149) Prec@5 59.375 (67.367) Epoch: [15][1140/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 2.2916 (2.6721) Prec@1 49.219 (42.147) Prec@5 80.469 (67.381) Epoch: [15][1150/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.8232 (2.6723) Prec@1 35.938 (42.154) Prec@5 67.188 (67.375) Epoch: [15][1160/10010] Time 0.342 (0.332) Data 0.001 (0.003) Loss 2.7229 (2.6728) Prec@1 38.281 (42.132) Prec@5 66.406 (67.369) Epoch: [15][1170/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.4619 (2.6730) Prec@1 38.281 (42.128) Prec@5 69.531 (67.366) Epoch: [15][1180/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.9067 (2.6724) Prec@1 39.844 (42.149) Prec@5 66.406 (67.368) Epoch: [15][1190/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.6593 (2.6729) Prec@1 44.531 (42.165) Prec@5 64.062 (67.351) Epoch: [15][1200/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 2.6979 (2.6730) Prec@1 43.750 (42.177) Prec@5 70.312 (67.352) Epoch: [15][1210/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 2.7045 (2.6722) Prec@1 45.312 (42.197) Prec@5 67.969 (67.367) Epoch: [15][1220/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.5362 (2.6722) Prec@1 46.875 (42.189) Prec@5 71.094 (67.375) Epoch: [15][1230/10010] Time 0.318 (0.332) Data 0.000 (0.003) Loss 3.2144 (2.6720) Prec@1 34.375 (42.183) Prec@5 62.500 (67.374) Epoch: [15][1240/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.3701 (2.6718) Prec@1 50.000 (42.193) Prec@5 73.438 (67.384) Epoch: [15][1250/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.8708 (2.6718) Prec@1 39.844 (42.184) Prec@5 60.156 (67.386) Epoch: [15][1260/10010] Time 0.342 (0.332) Data 0.001 (0.003) Loss 2.6406 (2.6715) Prec@1 46.094 (42.193) Prec@5 67.188 (67.391) Epoch: [15][1270/10010] Time 0.344 (0.332) Data 0.000 (0.003) Loss 2.5365 (2.6709) Prec@1 38.281 (42.202) Prec@5 72.656 (67.402) Epoch: [15][1280/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 2.6139 (2.6706) Prec@1 42.188 (42.204) Prec@5 71.094 (67.420) Epoch: [15][1290/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 2.6000 (2.6706) Prec@1 44.531 (42.206) Prec@5 69.531 (67.420) Epoch: [15][1300/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 2.7427 (2.6708) Prec@1 44.531 (42.197) Prec@5 67.188 (67.411) Epoch: [15][1310/10010] Time 0.334 (0.332) Data 0.001 (0.003) Loss 2.4868 (2.6708) Prec@1 47.656 (42.193) Prec@5 71.875 (67.417) Epoch: [15][1320/10010] Time 0.346 (0.332) Data 0.001 (0.003) Loss 2.7777 (2.6711) Prec@1 42.188 (42.184) Prec@5 64.844 (67.412) Epoch: [15][1330/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.8069 (2.6713) Prec@1 35.156 (42.172) Prec@5 66.406 (67.413) Epoch: [15][1340/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.3156 (2.6710) Prec@1 49.219 (42.176) Prec@5 73.438 (67.422) Epoch: [15][1350/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.5749 (2.6705) Prec@1 38.281 (42.188) Prec@5 73.438 (67.445) Epoch: [15][1360/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.4706 (2.6704) Prec@1 42.188 (42.192) Prec@5 67.969 (67.453) Epoch: [15][1370/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.3958 (2.6698) Prec@1 48.438 (42.202) Prec@5 68.750 (67.451) Epoch: [15][1380/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6107 (2.6706) Prec@1 44.531 (42.194) Prec@5 67.188 (67.442) Epoch: [15][1390/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5337 (2.6701) Prec@1 40.625 (42.198) Prec@5 71.094 (67.454) Epoch: [15][1400/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.4351 (2.6695) Prec@1 42.969 (42.203) Prec@5 72.656 (67.457) Epoch: [15][1410/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.3731 (2.6699) Prec@1 43.750 (42.191) Prec@5 72.656 (67.449) Epoch: [15][1420/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.4581 (2.6702) Prec@1 51.562 (42.181) Prec@5 70.312 (67.450) Epoch: [15][1430/10010] Time 0.349 (0.332) Data 0.001 (0.002) Loss 2.6469 (2.6704) Prec@1 42.188 (42.180) Prec@5 65.625 (67.440) Epoch: [15][1440/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5913 (2.6704) Prec@1 42.969 (42.182) Prec@5 67.969 (67.444) Epoch: [15][1450/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6766 (2.6698) Prec@1 34.375 (42.190) Prec@5 70.312 (67.451) Epoch: [15][1460/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.4998 (2.6698) Prec@1 41.406 (42.191) Prec@5 69.531 (67.447) Epoch: [15][1470/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5187 (2.6700) Prec@1 39.844 (42.192) Prec@5 70.312 (67.448) Epoch: [15][1480/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.0217 (2.6708) Prec@1 39.062 (42.177) Prec@5 64.844 (67.442) Epoch: [15][1490/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.3869 (2.6703) Prec@1 49.219 (42.195) Prec@5 74.219 (67.456) Epoch: [15][1500/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.4494 (2.6703) Prec@1 39.844 (42.192) Prec@5 71.875 (67.458) Epoch: [15][1510/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.9903 (2.6710) Prec@1 33.594 (42.169) Prec@5 62.500 (67.459) Epoch: [15][1520/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.4049 (2.6710) Prec@1 46.094 (42.167) Prec@5 71.875 (67.452) Epoch: [15][1530/10010] Time 0.312 (0.332) Data 0.001 (0.002) Loss 2.7563 (2.6718) Prec@1 40.625 (42.154) Prec@5 66.406 (67.433) Epoch: [15][1540/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5347 (2.6713) Prec@1 42.969 (42.159) Prec@5 70.312 (67.440) Epoch: [15][1550/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5228 (2.6712) Prec@1 45.312 (42.159) Prec@5 70.312 (67.441) Epoch: [15][1560/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.7352 (2.6711) Prec@1 42.188 (42.154) Prec@5 64.062 (67.439) Epoch: [15][1570/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.7843 (2.6713) Prec@1 43.750 (42.151) Prec@5 72.656 (67.444) Epoch: [15][1580/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5403 (2.6719) Prec@1 44.531 (42.140) Prec@5 73.438 (67.437) Epoch: [15][1590/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.8594 (2.6725) Prec@1 39.062 (42.133) Prec@5 62.500 (67.435) Epoch: [15][1600/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6569 (2.6731) Prec@1 45.312 (42.129) Prec@5 66.406 (67.420) Epoch: [15][1610/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.6218 (2.6731) Prec@1 42.969 (42.127) Prec@5 66.406 (67.414) Epoch: [15][1620/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.7441 (2.6729) Prec@1 42.188 (42.139) Prec@5 67.188 (67.421) Epoch: [15][1630/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.9138 (2.6737) Prec@1 32.031 (42.122) Prec@5 65.625 (67.419) Epoch: [15][1640/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 3.1400 (2.6736) Prec@1 39.062 (42.128) Prec@5 58.594 (67.426) Epoch: [15][1650/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.9040 (2.6740) Prec@1 38.281 (42.126) Prec@5 62.500 (67.419) Epoch: [15][1660/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.9291 (2.6748) Prec@1 39.062 (42.113) Prec@5 60.938 (67.404) Epoch: [15][1670/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.6118 (2.6751) Prec@1 42.969 (42.117) Prec@5 67.188 (67.397) Epoch: [15][1680/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7556 (2.6751) Prec@1 42.969 (42.115) Prec@5 64.844 (67.403) Epoch: [15][1690/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.1918 (2.6757) Prec@1 39.062 (42.114) Prec@5 62.500 (67.392) Epoch: [15][1700/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5822 (2.6755) Prec@1 42.969 (42.116) Prec@5 68.750 (67.390) Epoch: [15][1710/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.8756 (2.6757) Prec@1 39.844 (42.113) Prec@5 67.969 (67.389) Epoch: [15][1720/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.3163 (2.6751) Prec@1 47.656 (42.124) Prec@5 75.781 (67.404) Epoch: [15][1730/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.0586 (2.6751) Prec@1 48.438 (42.130) Prec@5 76.562 (67.402) Epoch: [15][1740/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.8417 (2.6750) Prec@1 39.844 (42.126) Prec@5 66.406 (67.407) Epoch: [15][1750/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6934 (2.6759) Prec@1 43.750 (42.118) Prec@5 70.312 (67.397) Epoch: [15][1760/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.5601 (2.6757) Prec@1 36.719 (42.113) Prec@5 71.875 (67.402) Epoch: [15][1770/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.7928 (2.6761) Prec@1 41.406 (42.109) Prec@5 64.062 (67.395) Epoch: [15][1780/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.5967 (2.6758) Prec@1 41.406 (42.115) Prec@5 68.750 (67.395) Epoch: [15][1790/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.5619 (2.6759) Prec@1 46.875 (42.112) Prec@5 71.094 (67.402) Epoch: [15][1800/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.5841 (2.6759) Prec@1 47.656 (42.115) Prec@5 67.969 (67.400) Epoch: [15][1810/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.4328 (2.6759) Prec@1 47.656 (42.108) Prec@5 71.875 (67.408) Epoch: [15][1820/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.8738 (2.6757) Prec@1 35.938 (42.112) Prec@5 62.500 (67.413) Epoch: [15][1830/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.5685 (2.6756) Prec@1 42.188 (42.117) Prec@5 70.312 (67.412) Epoch: [15][1840/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.8070 (2.6766) Prec@1 39.844 (42.091) Prec@5 69.531 (67.401) Epoch: [15][1850/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.7523 (2.6765) Prec@1 41.406 (42.091) Prec@5 63.281 (67.404) Epoch: [15][1860/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.3435 (2.6766) Prec@1 56.250 (42.097) Prec@5 71.875 (67.397) Epoch: [15][1870/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.8434 (2.6759) Prec@1 39.062 (42.109) Prec@5 62.500 (67.405) Epoch: [15][1880/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.8624 (2.6762) Prec@1 42.969 (42.095) Prec@5 66.406 (67.402) Epoch: [15][1890/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5715 (2.6759) Prec@1 43.750 (42.102) Prec@5 69.531 (67.413) Epoch: [15][1900/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.6650 (2.6758) Prec@1 41.406 (42.102) Prec@5 67.969 (67.416) Epoch: [15][1910/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.8608 (2.6759) Prec@1 40.625 (42.106) Prec@5 62.500 (67.413) Epoch: [15][1920/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.7236 (2.6767) Prec@1 40.625 (42.097) Prec@5 62.500 (67.397) Epoch: [15][1930/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.6286 (2.6770) Prec@1 45.312 (42.102) Prec@5 64.844 (67.394) Epoch: [15][1940/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.5277 (2.6768) Prec@1 40.625 (42.103) Prec@5 70.312 (67.390) Epoch: [15][1950/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.8364 (2.6771) Prec@1 38.281 (42.095) Prec@5 65.625 (67.383) Epoch: [15][1960/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.9654 (2.6775) Prec@1 34.375 (42.085) Prec@5 66.406 (67.378) Epoch: [15][1970/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6829 (2.6768) Prec@1 36.719 (42.096) Prec@5 70.312 (67.389) Epoch: [15][1980/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.9390 (2.6766) Prec@1 35.156 (42.100) Prec@5 65.625 (67.394) Epoch: [15][1990/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.6090 (2.6764) Prec@1 49.219 (42.109) Prec@5 64.062 (67.395) Epoch: [15][2000/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.9452 (2.6763) Prec@1 39.062 (42.111) Prec@5 62.500 (67.394) Epoch: [15][2010/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.9877 (2.6771) Prec@1 35.156 (42.096) Prec@5 60.156 (67.381) Epoch: [15][2020/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.4573 (2.6770) Prec@1 46.094 (42.099) Prec@5 70.312 (67.385) Epoch: [15][2030/10010] Time 0.351 (0.332) Data 0.000 (0.002) Loss 2.6753 (2.6767) Prec@1 43.750 (42.107) Prec@5 70.312 (67.389) Epoch: [15][2040/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.6829 (2.6774) Prec@1 42.188 (42.095) Prec@5 64.844 (67.377) Epoch: [15][2050/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.5817 (2.6776) Prec@1 39.062 (42.085) Prec@5 71.094 (67.371) Epoch: [15][2060/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.4453 (2.6778) Prec@1 43.750 (42.085) Prec@5 73.438 (67.371) Epoch: [15][2070/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 3.0319 (2.6777) Prec@1 39.062 (42.091) Prec@5 62.500 (67.378) Epoch: [15][2080/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.8321 (2.6778) Prec@1 39.844 (42.083) Prec@5 63.281 (67.384) Epoch: [15][2090/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8448 (2.6777) Prec@1 40.625 (42.088) Prec@5 60.938 (67.384) Epoch: [15][2100/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.8813 (2.6778) Prec@1 39.844 (42.081) Prec@5 60.156 (67.376) Epoch: [15][2110/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.0019 (2.6784) Prec@1 36.719 (42.074) Prec@5 62.500 (67.364) Epoch: [15][2120/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.7969 (2.6787) Prec@1 45.312 (42.074) Prec@5 62.500 (67.358) Epoch: [15][2130/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9499 (2.6790) Prec@1 35.938 (42.067) Prec@5 61.719 (67.355) Epoch: [15][2140/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7504 (2.6787) Prec@1 43.750 (42.074) Prec@5 67.969 (67.359) Epoch: [15][2150/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.5497 (2.6785) Prec@1 44.531 (42.073) Prec@5 73.438 (67.357) Epoch: [15][2160/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5176 (2.6786) Prec@1 41.406 (42.066) Prec@5 67.188 (67.354) Epoch: [15][2170/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.2877 (2.6785) Prec@1 35.938 (42.071) Prec@5 58.594 (67.355) Epoch: [15][2180/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.7632 (2.6784) Prec@1 41.406 (42.066) Prec@5 66.406 (67.358) Epoch: [15][2190/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6240 (2.6788) Prec@1 41.406 (42.064) Prec@5 64.062 (67.353) Epoch: [15][2200/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.1649 (2.6792) Prec@1 35.938 (42.065) Prec@5 57.812 (67.343) Epoch: [15][2210/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.6221 (2.6789) Prec@1 42.188 (42.066) Prec@5 69.531 (67.343) Epoch: [15][2220/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7931 (2.6789) Prec@1 39.062 (42.069) Prec@5 60.938 (67.339) Epoch: [15][2230/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.7901 (2.6788) Prec@1 39.062 (42.073) Prec@5 69.531 (67.336) Epoch: [15][2240/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 3.2219 (2.6793) Prec@1 38.281 (42.065) Prec@5 56.250 (67.324) Epoch: [15][2250/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.8878 (2.6792) Prec@1 39.062 (42.067) Prec@5 67.969 (67.333) Epoch: [15][2260/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5697 (2.6791) Prec@1 43.750 (42.063) Prec@5 70.312 (67.338) Epoch: [15][2270/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.5635 (2.6789) Prec@1 43.750 (42.064) Prec@5 68.750 (67.336) Epoch: [15][2280/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.9719 (2.6794) Prec@1 37.500 (42.052) Prec@5 63.281 (67.327) Epoch: [15][2290/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.4847 (2.6794) Prec@1 46.094 (42.052) Prec@5 64.062 (67.325) Epoch: [15][2300/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.4910 (2.6791) Prec@1 40.625 (42.059) Prec@5 67.188 (67.333) Epoch: [15][2310/10010] Time 0.308 (0.332) Data 0.001 (0.002) Loss 2.7978 (2.6787) Prec@1 37.500 (42.066) Prec@5 65.625 (67.340) Epoch: [15][2320/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.6228 (2.6784) Prec@1 46.875 (42.073) Prec@5 71.875 (67.346) Epoch: [15][2330/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.7141 (2.6786) Prec@1 39.062 (42.070) Prec@5 68.750 (67.346) Epoch: [15][2340/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.4828 (2.6786) Prec@1 46.875 (42.064) Prec@5 69.531 (67.346) Epoch: [15][2350/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.6564 (2.6787) Prec@1 44.531 (42.066) Prec@5 66.406 (67.347) Epoch: [15][2360/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.3349 (2.6783) Prec@1 45.312 (42.070) Prec@5 70.312 (67.351) Epoch: [15][2370/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.7527 (2.6792) Prec@1 42.188 (42.055) Prec@5 62.500 (67.333) Epoch: [15][2380/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.8758 (2.6793) Prec@1 35.938 (42.045) Prec@5 64.844 (67.331) Epoch: [15][2390/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.4289 (2.6791) Prec@1 41.406 (42.043) Prec@5 72.656 (67.336) Epoch: [15][2400/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.4710 (2.6792) Prec@1 51.562 (42.045) Prec@5 70.312 (67.336) Epoch: [15][2410/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7573 (2.6796) Prec@1 33.594 (42.042) Prec@5 70.312 (67.333) Epoch: [15][2420/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5758 (2.6795) Prec@1 41.406 (42.044) Prec@5 68.750 (67.337) Epoch: [15][2430/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.5067 (2.6797) Prec@1 42.188 (42.046) Prec@5 70.312 (67.335) Epoch: [15][2440/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.4793 (2.6797) Prec@1 50.781 (42.046) Prec@5 70.312 (67.334) Epoch: [15][2450/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.6458 (2.6792) Prec@1 43.750 (42.057) Prec@5 67.969 (67.344) Epoch: [15][2460/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.8890 (2.6794) Prec@1 39.844 (42.057) Prec@5 66.406 (67.340) Epoch: [15][2470/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5787 (2.6796) Prec@1 41.406 (42.059) Prec@5 69.531 (67.343) Epoch: [15][2480/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.4451 (2.6797) Prec@1 47.656 (42.058) Prec@5 71.875 (67.346) Epoch: [15][2490/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.6292 (2.6795) Prec@1 44.531 (42.060) Prec@5 66.406 (67.348) Epoch: [15][2500/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.5333 (2.6797) Prec@1 47.656 (42.056) Prec@5 66.406 (67.343) Epoch: [15][2510/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.6774 (2.6798) Prec@1 45.312 (42.056) Prec@5 67.188 (67.341) Epoch: [15][2520/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5899 (2.6799) Prec@1 46.875 (42.058) Prec@5 65.625 (67.339) Epoch: [15][2530/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5069 (2.6802) Prec@1 44.531 (42.051) Prec@5 67.969 (67.333) /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: [15][2540/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5484 (2.6805) Prec@1 41.406 (42.049) Prec@5 68.750 (67.330) Epoch: [15][2550/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.7013 (2.6805) Prec@1 42.969 (42.048) Prec@5 67.969 (67.332) Epoch: [15][2560/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6633 (2.6805) Prec@1 42.188 (42.046) Prec@5 64.844 (67.331) Epoch: [15][2570/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6482 (2.6805) Prec@1 43.750 (42.049) Prec@5 69.531 (67.334) Epoch: [15][2580/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.9946 (2.6804) Prec@1 35.938 (42.045) Prec@5 59.375 (67.333) Epoch: [15][2590/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.6252 (2.6805) Prec@1 42.969 (42.047) Prec@5 66.406 (67.332) Epoch: [15][2600/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 2.5939 (2.6805) Prec@1 39.062 (42.039) Prec@5 71.875 (67.331) Epoch: [15][2610/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6934 (2.6804) Prec@1 39.844 (42.041) Prec@5 64.844 (67.330) Epoch: [15][2620/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.4765 (2.6807) Prec@1 46.094 (42.030) Prec@5 70.312 (67.325) Epoch: [15][2630/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 3.1226 (2.6803) Prec@1 28.906 (42.032) Prec@5 57.812 (67.331) Epoch: [15][2640/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.8219 (2.6804) Prec@1 36.719 (42.027) Prec@5 66.406 (67.324) Epoch: [15][2650/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6559 (2.6806) Prec@1 39.844 (42.025) Prec@5 64.844 (67.324) Epoch: [15][2660/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.8765 (2.6810) Prec@1 39.844 (42.022) Prec@5 70.312 (67.323) Epoch: [15][2670/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.5386 (2.6811) Prec@1 46.094 (42.023) Prec@5 69.531 (67.320) Epoch: [15][2680/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.7155 (2.6810) Prec@1 42.188 (42.024) Prec@5 63.281 (67.323) Epoch: [15][2690/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.8241 (2.6810) Prec@1 41.406 (42.019) Prec@5 60.938 (67.320) Epoch: [15][2700/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.7565 (2.6811) Prec@1 41.406 (42.015) Prec@5 67.188 (67.321) Epoch: [15][2710/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7499 (2.6809) Prec@1 37.500 (42.020) Prec@5 64.844 (67.322) Epoch: [15][2720/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.2506 (2.6808) Prec@1 50.000 (42.021) Prec@5 79.688 (67.327) Epoch: [15][2730/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 3.0257 (2.6811) Prec@1 39.062 (42.020) Prec@5 61.719 (67.321) Epoch: [15][2740/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.8214 (2.6810) Prec@1 32.812 (42.024) Prec@5 63.281 (67.320) Epoch: [15][2750/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.8946 (2.6809) Prec@1 41.406 (42.026) Prec@5 59.375 (67.316) Epoch: [15][2760/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.9984 (2.6810) Prec@1 39.844 (42.025) Prec@5 62.500 (67.314) Epoch: [15][2770/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.7470 (2.6812) Prec@1 45.312 (42.023) Prec@5 64.844 (67.314) Epoch: [15][2780/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.7069 (2.6810) Prec@1 39.844 (42.028) Prec@5 65.625 (67.318) Epoch: [15][2790/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.1574 (2.6813) Prec@1 35.156 (42.020) Prec@5 59.375 (67.315) Epoch: [15][2800/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.7337 (2.6815) Prec@1 41.406 (42.018) Prec@5 67.188 (67.311) Epoch: [15][2810/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8519 (2.6813) Prec@1 41.406 (42.024) Prec@5 64.844 (67.316) Epoch: [15][2820/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.7670 (2.6814) Prec@1 43.750 (42.032) Prec@5 71.875 (67.320) Epoch: [15][2830/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.6044 (2.6813) Prec@1 43.750 (42.032) Prec@5 71.875 (67.324) Epoch: [15][2840/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.6683 (2.6809) Prec@1 39.062 (42.043) Prec@5 68.750 (67.332) Epoch: [15][2850/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8538 (2.6809) Prec@1 39.844 (42.045) Prec@5 62.500 (67.328) Epoch: [15][2860/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6188 (2.6808) Prec@1 37.500 (42.043) Prec@5 67.188 (67.328) Epoch: [15][2870/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8724 (2.6806) Prec@1 35.938 (42.042) Prec@5 67.188 (67.332) Epoch: [15][2880/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6163 (2.6807) Prec@1 33.594 (42.038) Prec@5 70.312 (67.331) Epoch: [15][2890/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4607 (2.6806) Prec@1 50.000 (42.042) Prec@5 68.750 (67.327) Epoch: [15][2900/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7627 (2.6804) Prec@1 41.406 (42.050) Prec@5 67.969 (67.329) Epoch: [15][2910/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.4654 (2.6798) Prec@1 45.312 (42.057) Prec@5 68.750 (67.343) Epoch: [15][2920/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8388 (2.6801) Prec@1 43.750 (42.058) Prec@5 61.719 (67.336) Epoch: [15][2930/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5958 (2.6799) Prec@1 45.312 (42.066) Prec@5 72.656 (67.342) Epoch: [15][2940/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5319 (2.6798) Prec@1 45.312 (42.066) Prec@5 67.188 (67.339) Epoch: [15][2950/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8055 (2.6800) Prec@1 38.281 (42.063) Prec@5 68.750 (67.337) Epoch: [15][2960/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.8194 (2.6797) Prec@1 40.625 (42.066) Prec@5 67.188 (67.346) Epoch: [15][2970/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7589 (2.6802) Prec@1 34.375 (42.053) Prec@5 64.062 (67.343) Epoch: [15][2980/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4806 (2.6801) Prec@1 43.750 (42.057) Prec@5 75.781 (67.344) Epoch: [15][2990/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6818 (2.6804) Prec@1 45.312 (42.058) Prec@5 67.188 (67.340) Epoch: [15][3000/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8264 (2.6806) Prec@1 35.156 (42.053) Prec@5 61.719 (67.335) Epoch: [15][3010/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5324 (2.6807) Prec@1 41.406 (42.048) Prec@5 67.188 (67.331) Epoch: [15][3020/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6890 (2.6809) Prec@1 44.531 (42.047) Prec@5 70.312 (67.331) Epoch: [15][3030/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6686 (2.6807) Prec@1 40.625 (42.049) Prec@5 67.969 (67.336) Epoch: [15][3040/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.5029 (2.6807) Prec@1 42.969 (42.045) Prec@5 71.875 (67.339) Epoch: [15][3050/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7990 (2.6806) Prec@1 35.938 (42.044) Prec@5 61.719 (67.341) Epoch: [15][3060/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7665 (2.6805) Prec@1 42.188 (42.047) Prec@5 66.406 (67.343) Epoch: [15][3070/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5892 (2.6807) Prec@1 46.875 (42.044) Prec@5 64.844 (67.337) Epoch: [15][3080/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5098 (2.6805) Prec@1 49.219 (42.053) Prec@5 67.188 (67.341) Epoch: [15][3090/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6729 (2.6805) Prec@1 42.969 (42.057) Prec@5 64.062 (67.342) Epoch: [15][3100/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5964 (2.6805) Prec@1 53.906 (42.060) Prec@5 70.312 (67.346) Epoch: [15][3110/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7253 (2.6807) Prec@1 42.188 (42.060) Prec@5 65.625 (67.345) Epoch: [15][3120/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9096 (2.6809) Prec@1 40.625 (42.060) Prec@5 64.844 (67.340) Epoch: [15][3130/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5382 (2.6808) Prec@1 45.312 (42.063) Prec@5 66.406 (67.339) Epoch: [15][3140/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4468 (2.6806) Prec@1 42.188 (42.065) Prec@5 70.312 (67.342) Epoch: [15][3150/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9105 (2.6805) Prec@1 42.969 (42.070) Prec@5 65.625 (67.349) Epoch: [15][3160/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6122 (2.6808) Prec@1 41.406 (42.065) Prec@5 71.875 (67.347) Epoch: [15][3170/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9852 (2.6810) Prec@1 31.250 (42.058) Prec@5 61.719 (67.342) Epoch: [15][3180/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9971 (2.6813) Prec@1 39.062 (42.049) Prec@5 62.500 (67.339) Epoch: [15][3190/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7932 (2.6815) Prec@1 42.969 (42.051) Prec@5 65.625 (67.337) Epoch: [15][3200/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7944 (2.6819) Prec@1 39.844 (42.047) Prec@5 65.625 (67.330) Epoch: [15][3210/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7286 (2.6819) Prec@1 46.875 (42.047) Prec@5 65.625 (67.333) Epoch: [15][3220/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7545 (2.6818) Prec@1 41.406 (42.048) Prec@5 65.625 (67.336) Epoch: [15][3230/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8489 (2.6819) Prec@1 33.594 (42.046) Prec@5 63.281 (67.330) Epoch: [15][3240/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9330 (2.6821) Prec@1 39.062 (42.043) Prec@5 60.156 (67.326) Epoch: [15][3250/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.0356 (2.6821) Prec@1 39.844 (42.040) Prec@5 65.625 (67.328) Epoch: [15][3260/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.0779 (2.6822) Prec@1 34.375 (42.034) Prec@5 60.938 (67.328) Epoch: [15][3270/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 2.6525 (2.6825) Prec@1 36.719 (42.028) Prec@5 69.531 (67.325) Epoch: [15][3280/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4037 (2.6822) Prec@1 46.875 (42.036) Prec@5 71.094 (67.328) Epoch: [15][3290/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6977 (2.6818) Prec@1 40.625 (42.041) Prec@5 66.406 (67.331) Epoch: [15][3300/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6597 (2.6818) Prec@1 42.969 (42.042) Prec@5 66.406 (67.332) Epoch: [15][3310/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8382 (2.6820) Prec@1 37.500 (42.038) Prec@5 64.844 (67.327) Epoch: [15][3320/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5098 (2.6821) Prec@1 42.188 (42.034) Prec@5 69.531 (67.321) Epoch: [15][3330/10010] Time 0.309 (0.332) Data 0.001 (0.001) Loss 2.5487 (2.6817) Prec@1 46.094 (42.037) Prec@5 67.969 (67.327) Epoch: [15][3340/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9384 (2.6817) Prec@1 35.938 (42.036) Prec@5 62.500 (67.325) Epoch: [15][3350/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7065 (2.6817) Prec@1 40.625 (42.035) Prec@5 71.094 (67.327) Epoch: [15][3360/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7704 (2.6818) Prec@1 46.875 (42.038) Prec@5 65.625 (67.326) Epoch: [15][3370/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7126 (2.6817) Prec@1 43.750 (42.038) Prec@5 64.844 (67.327) Epoch: [15][3380/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9002 (2.6814) Prec@1 34.375 (42.045) Prec@5 59.375 (67.331) Epoch: [15][3390/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5517 (2.6811) Prec@1 48.438 (42.051) Prec@5 69.531 (67.334) Epoch: [15][3400/10010] Time 0.352 (0.332) Data 0.000 (0.001) Loss 2.8483 (2.6811) Prec@1 35.938 (42.050) Prec@5 62.500 (67.333) Epoch: [15][3410/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5150 (2.6812) Prec@1 46.094 (42.053) Prec@5 71.094 (67.331) Epoch: [15][3420/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7290 (2.6812) Prec@1 37.500 (42.049) Prec@5 67.188 (67.332) Epoch: [15][3430/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6849 (2.6812) Prec@1 36.719 (42.044) Prec@5 69.531 (67.332) Epoch: [15][3440/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6440 (2.6811) Prec@1 44.531 (42.047) Prec@5 65.625 (67.335) Epoch: [15][3450/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3366 (2.6811) Prec@1 42.969 (42.048) Prec@5 72.656 (67.334) Epoch: [15][3460/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5209 (2.6811) Prec@1 46.875 (42.047) Prec@5 68.750 (67.332) Epoch: [15][3470/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6622 (2.6811) Prec@1 39.062 (42.050) Prec@5 63.281 (67.334) Epoch: [15][3480/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7433 (2.6812) Prec@1 41.406 (42.045) Prec@5 67.188 (67.332) Epoch: [15][3490/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7618 (2.6814) Prec@1 42.188 (42.042) Prec@5 71.094 (67.329) Epoch: [15][3500/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8363 (2.6815) Prec@1 37.500 (42.043) Prec@5 65.625 (67.329) Epoch: [15][3510/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.3590 (2.6812) Prec@1 45.312 (42.050) Prec@5 77.344 (67.339) Epoch: [15][3520/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7351 (2.6810) Prec@1 44.531 (42.061) Prec@5 66.406 (67.343) Epoch: [15][3530/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7038 (2.6809) Prec@1 35.938 (42.061) Prec@5 67.188 (67.346) Epoch: [15][3540/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.0989 (2.6809) Prec@1 32.812 (42.062) Prec@5 58.594 (67.343) Epoch: [15][3550/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8157 (2.6812) Prec@1 42.188 (42.058) Prec@5 65.625 (67.338) Epoch: [15][3560/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8018 (2.6807) Prec@1 39.062 (42.066) Prec@5 66.406 (67.348) Epoch: [15][3570/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.5963 (2.6807) Prec@1 39.844 (42.064) Prec@5 72.656 (67.351) Epoch: [15][3580/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5732 (2.6806) Prec@1 44.531 (42.064) Prec@5 66.406 (67.351) Epoch: [15][3590/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.5890 (2.6804) Prec@1 44.531 (42.065) Prec@5 68.750 (67.355) Epoch: [15][3600/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7588 (2.6806) Prec@1 45.312 (42.065) Prec@5 61.719 (67.352) Epoch: [15][3610/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9179 (2.6806) Prec@1 30.469 (42.062) Prec@5 66.406 (67.354) Epoch: [15][3620/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6809 (2.6806) Prec@1 44.531 (42.059) Prec@5 66.406 (67.355) Epoch: [15][3630/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9637 (2.6804) Prec@1 38.281 (42.059) Prec@5 62.500 (67.359) Epoch: [15][3640/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.3033 (2.6803) Prec@1 52.344 (42.063) Prec@5 73.438 (67.359) Epoch: [15][3650/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.3059 (2.6800) Prec@1 49.219 (42.070) Prec@5 76.562 (67.367) Epoch: [15][3660/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.6244 (2.6802) Prec@1 43.750 (42.070) Prec@5 71.875 (67.365) Epoch: [15][3670/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.9137 (2.6804) Prec@1 39.844 (42.067) Prec@5 66.406 (67.365) Epoch: [15][3680/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9750 (2.6804) Prec@1 40.625 (42.068) Prec@5 60.156 (67.362) Epoch: [15][3690/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 3.0340 (2.6803) Prec@1 39.844 (42.073) Prec@5 57.812 (67.364) Epoch: [15][3700/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8408 (2.6805) Prec@1 39.062 (42.072) Prec@5 64.062 (67.360) Epoch: [15][3710/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.3397 (2.6802) Prec@1 45.312 (42.075) Prec@5 69.531 (67.363) Epoch: [15][3720/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.4909 (2.6803) Prec@1 46.875 (42.074) Prec@5 65.625 (67.360) Epoch: [15][3730/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8120 (2.6804) Prec@1 38.281 (42.069) Prec@5 66.406 (67.358) Epoch: [15][3740/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8958 (2.6809) Prec@1 37.500 (42.061) Prec@5 60.938 (67.350) Epoch: [15][3750/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5995 (2.6809) Prec@1 41.406 (42.061) Prec@5 67.188 (67.350) Epoch: [15][3760/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5318 (2.6808) Prec@1 48.438 (42.064) Prec@5 69.531 (67.351) Epoch: [15][3770/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5844 (2.6805) Prec@1 43.750 (42.071) Prec@5 66.406 (67.356) Epoch: [15][3780/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4471 (2.6805) Prec@1 40.625 (42.071) Prec@5 69.531 (67.353) Epoch: [15][3790/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8208 (2.6805) Prec@1 38.281 (42.070) Prec@5 60.156 (67.355) Epoch: [15][3800/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5982 (2.6806) Prec@1 46.094 (42.072) Prec@5 67.969 (67.353) Epoch: [15][3810/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5885 (2.6808) Prec@1 39.062 (42.067) Prec@5 66.406 (67.349) Epoch: [15][3820/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4965 (2.6807) Prec@1 44.531 (42.066) Prec@5 71.094 (67.351) Epoch: [15][3830/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6179 (2.6807) Prec@1 42.969 (42.062) Prec@5 67.188 (67.352) Epoch: [15][3840/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7326 (2.6809) Prec@1 40.625 (42.059) Prec@5 67.188 (67.347) Epoch: [15][3850/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7239 (2.6811) Prec@1 42.188 (42.056) Prec@5 68.750 (67.345) /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: [15][3860/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.2531 (2.6812) Prec@1 30.469 (42.058) Prec@5 60.156 (67.344) Epoch: [15][3870/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7286 (2.6809) Prec@1 43.750 (42.065) Prec@5 65.625 (67.351) Epoch: [15][3880/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8663 (2.6812) Prec@1 34.375 (42.056) Prec@5 68.750 (67.350) Epoch: [15][3890/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9696 (2.6814) Prec@1 42.969 (42.054) Prec@5 59.375 (67.346) /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: [15][3900/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7515 (2.6814) Prec@1 42.969 (42.053) Prec@5 71.875 (67.349) Epoch: [15][3910/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8274 (2.6814) Prec@1 42.969 (42.059) Prec@5 64.844 (67.350) Epoch: [15][3920/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8111 (2.6812) Prec@1 39.062 (42.063) Prec@5 65.625 (67.348) Epoch: [15][3930/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.7187 (2.6809) Prec@1 39.062 (42.067) Prec@5 63.281 (67.353) Epoch: [15][3940/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.2240 (2.6806) Prec@1 46.875 (42.072) Prec@5 73.438 (67.362) Epoch: [15][3950/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.1556 (2.6804) Prec@1 53.906 (42.074) Prec@5 76.562 (67.364) Epoch: [15][3960/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.1753 (2.6800) Prec@1 49.219 (42.080) Prec@5 79.688 (67.373) Epoch: [15][3970/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7521 (2.6800) Prec@1 37.500 (42.081) Prec@5 67.188 (67.373) Epoch: [15][3980/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6543 (2.6800) Prec@1 39.844 (42.081) Prec@5 68.750 (67.369) Epoch: [15][3990/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5125 (2.6800) Prec@1 46.875 (42.085) Prec@5 64.844 (67.368) Epoch: [15][4000/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5573 (2.6799) Prec@1 39.062 (42.086) Prec@5 72.656 (67.370) Epoch: [15][4010/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.4289 (2.6799) Prec@1 42.969 (42.083) Prec@5 71.875 (67.374) Epoch: [15][4020/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.0675 (2.6800) Prec@1 41.406 (42.081) Prec@5 60.156 (67.370) Epoch: [15][4030/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.5854 (2.6798) Prec@1 42.969 (42.083) Prec@5 67.969 (67.372) Epoch: [15][4040/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.8890 (2.6798) Prec@1 39.062 (42.086) Prec@5 64.844 (67.371) Epoch: [15][4050/10010] Time 0.353 (0.332) Data 0.000 (0.001) Loss 2.6540 (2.6800) Prec@1 39.844 (42.076) Prec@5 65.625 (67.366) Epoch: [15][4060/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8629 (2.6802) Prec@1 35.156 (42.068) Prec@5 66.406 (67.362) Epoch: [15][4070/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6955 (2.6802) Prec@1 37.500 (42.066) Prec@5 68.750 (67.363) Epoch: [15][4080/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6629 (2.6801) Prec@1 42.188 (42.066) Prec@5 65.625 (67.363) Epoch: [15][4090/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6975 (2.6800) Prec@1 37.500 (42.069) Prec@5 64.844 (67.363) Epoch: [15][4100/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6065 (2.6798) Prec@1 48.438 (42.074) Prec@5 67.188 (67.367) Epoch: [15][4110/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4919 (2.6797) Prec@1 45.312 (42.076) Prec@5 71.875 (67.369) Epoch: [15][4120/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6402 (2.6800) Prec@1 48.438 (42.075) Prec@5 68.750 (67.366) Epoch: [15][4130/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8950 (2.6801) Prec@1 40.625 (42.075) Prec@5 62.500 (67.364) Epoch: [15][4140/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7577 (2.6800) Prec@1 42.969 (42.079) Prec@5 71.094 (67.363) Epoch: [15][4150/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8314 (2.6801) Prec@1 43.750 (42.082) Prec@5 62.500 (67.361) Epoch: [15][4160/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9422 (2.6804) Prec@1 39.062 (42.080) Prec@5 66.406 (67.356) Epoch: [15][4170/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7979 (2.6804) Prec@1 44.531 (42.083) Prec@5 67.188 (67.355) Epoch: [15][4180/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5033 (2.6804) Prec@1 47.656 (42.085) Prec@5 70.312 (67.355) Epoch: [15][4190/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6542 (2.6804) Prec@1 42.188 (42.084) Prec@5 68.750 (67.356) Epoch: [15][4200/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.2919 (2.6803) Prec@1 47.656 (42.085) Prec@5 77.344 (67.357) Epoch: [15][4210/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7530 (2.6803) Prec@1 43.750 (42.087) Prec@5 66.406 (67.358) Epoch: [15][4220/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5937 (2.6804) Prec@1 44.531 (42.086) Prec@5 67.188 (67.357) Epoch: [15][4230/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7505 (2.6803) Prec@1 43.750 (42.084) Prec@5 67.188 (67.358) Epoch: [15][4240/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6499 (2.6804) Prec@1 40.625 (42.083) Prec@5 67.188 (67.358) Epoch: [15][4250/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6235 (2.6804) Prec@1 42.188 (42.081) Prec@5 69.531 (67.359) Epoch: [15][4260/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5911 (2.6804) Prec@1 45.312 (42.085) Prec@5 71.094 (67.359) Epoch: [15][4270/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7039 (2.6804) Prec@1 46.094 (42.086) Prec@5 66.406 (67.358) Epoch: [15][4280/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7292 (2.6805) Prec@1 42.188 (42.087) Prec@5 66.406 (67.359) Epoch: [15][4290/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6496 (2.6808) Prec@1 39.844 (42.085) Prec@5 68.750 (67.355) Epoch: [15][4300/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7674 (2.6809) Prec@1 40.625 (42.078) Prec@5 66.406 (67.352) Epoch: [15][4310/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7732 (2.6810) Prec@1 38.281 (42.076) Prec@5 64.062 (67.351) Epoch: [15][4320/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.0673 (2.6810) Prec@1 37.500 (42.075) Prec@5 63.281 (67.350) Epoch: [15][4330/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9927 (2.6812) Prec@1 36.719 (42.072) Prec@5 60.938 (67.344) /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: [15][4340/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5964 (2.6811) Prec@1 39.062 (42.072) Prec@5 70.312 (67.346) Epoch: [15][4350/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5304 (2.6809) Prec@1 44.531 (42.076) Prec@5 72.656 (67.346) Epoch: [15][4360/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9422 (2.6811) Prec@1 37.500 (42.080) Prec@5 65.625 (67.344) Epoch: [15][4370/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5721 (2.6810) Prec@1 42.188 (42.082) Prec@5 67.188 (67.345) Epoch: [15][4380/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.3049 (2.6807) Prec@1 43.750 (42.082) Prec@5 74.219 (67.352) Epoch: [15][4390/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.3386 (2.6806) Prec@1 50.000 (42.083) Prec@5 72.656 (67.354) Epoch: [15][4400/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.2732 (2.6807) Prec@1 43.750 (42.080) Prec@5 75.781 (67.352) Epoch: [15][4410/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5387 (2.6806) Prec@1 44.531 (42.079) Prec@5 77.344 (67.355) Epoch: [15][4420/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5476 (2.6807) Prec@1 39.844 (42.078) Prec@5 71.094 (67.356) Epoch: [15][4430/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5431 (2.6805) Prec@1 45.312 (42.082) Prec@5 70.312 (67.359) Epoch: [15][4440/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5309 (2.6807) Prec@1 43.750 (42.078) Prec@5 70.312 (67.357) Epoch: [15][4450/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7477 (2.6809) Prec@1 37.500 (42.075) Prec@5 64.844 (67.352) Epoch: [15][4460/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4931 (2.6809) Prec@1 42.188 (42.075) Prec@5 71.875 (67.354) Epoch: [15][4470/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5039 (2.6808) Prec@1 46.875 (42.077) Prec@5 71.094 (67.357) Epoch: [15][4480/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9751 (2.6809) Prec@1 39.844 (42.077) Prec@5 59.375 (67.354) Epoch: [15][4490/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.0940 (2.6812) Prec@1 30.469 (42.073) Prec@5 59.375 (67.350) Epoch: [15][4500/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9588 (2.6812) Prec@1 39.844 (42.071) Prec@5 61.719 (67.347) Epoch: [15][4510/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5763 (2.6811) Prec@1 40.625 (42.071) Prec@5 69.531 (67.349) Epoch: [15][4520/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.4098 (2.6812) Prec@1 42.969 (42.066) Prec@5 68.750 (67.346) Epoch: [15][4530/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.4475 (2.6814) Prec@1 45.312 (42.063) Prec@5 73.438 (67.343) Epoch: [15][4540/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6635 (2.6813) Prec@1 42.188 (42.065) Prec@5 67.188 (67.344) Epoch: [15][4550/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9927 (2.6814) Prec@1 37.500 (42.061) Prec@5 62.500 (67.343) Epoch: [15][4560/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0335 (2.6816) Prec@1 35.938 (42.054) Prec@5 62.500 (67.340) Epoch: [15][4570/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1536 (2.6819) Prec@1 36.719 (42.047) Prec@5 59.375 (67.337) Epoch: [15][4580/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.8374 (2.6819) Prec@1 39.062 (42.048) Prec@5 63.281 (67.338) Epoch: [15][4590/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.3868 (2.6820) Prec@1 49.219 (42.047) Prec@5 71.875 (67.336) Epoch: [15][4600/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9251 (2.6822) Prec@1 35.938 (42.042) Prec@5 64.062 (67.331) Epoch: [15][4610/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.2364 (2.6822) Prec@1 44.531 (42.043) Prec@5 76.562 (67.332) Epoch: [15][4620/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7571 (2.6822) Prec@1 42.188 (42.040) Prec@5 66.406 (67.334) Epoch: [15][4630/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5958 (2.6822) Prec@1 41.406 (42.040) Prec@5 68.750 (67.334) Epoch: [15][4640/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8757 (2.6823) Prec@1 36.719 (42.033) Prec@5 63.281 (67.331) Epoch: [15][4650/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5180 (2.6822) Prec@1 50.000 (42.039) Prec@5 74.219 (67.335) Epoch: [15][4660/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.5252 (2.6818) Prec@1 46.094 (42.045) Prec@5 71.875 (67.342) Epoch: [15][4670/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5156 (2.6819) Prec@1 42.969 (42.044) Prec@5 69.531 (67.339) Epoch: [15][4680/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6207 (2.6821) Prec@1 42.188 (42.042) Prec@5 67.188 (67.337) Epoch: [15][4690/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5488 (2.6823) Prec@1 43.750 (42.039) Prec@5 72.656 (67.334) Epoch: [15][4700/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8677 (2.6823) Prec@1 39.844 (42.039) Prec@5 62.500 (67.338) Epoch: [15][4710/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9825 (2.6824) Prec@1 36.719 (42.034) Prec@5 60.938 (67.332) Epoch: [15][4720/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8302 (2.6826) Prec@1 42.188 (42.029) Prec@5 65.625 (67.330) Epoch: [15][4730/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9934 (2.6826) Prec@1 32.812 (42.028) Prec@5 62.500 (67.331) Epoch: [15][4740/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.0238 (2.6828) Prec@1 35.156 (42.026) Prec@5 62.500 (67.326) Epoch: [15][4750/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7230 (2.6830) Prec@1 43.750 (42.023) Prec@5 68.750 (67.323) Epoch: [15][4760/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6335 (2.6830) Prec@1 49.219 (42.028) Prec@5 68.750 (67.323) Epoch: [15][4770/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 3.1829 (2.6831) Prec@1 41.406 (42.028) Prec@5 64.844 (67.321) Epoch: [15][4780/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.1702 (2.6833) Prec@1 34.375 (42.027) Prec@5 56.250 (67.316) Epoch: [15][4790/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8874 (2.6834) Prec@1 40.625 (42.026) Prec@5 65.625 (67.315) Epoch: [15][4800/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7948 (2.6836) Prec@1 47.656 (42.022) Prec@5 66.406 (67.313) Epoch: [15][4810/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.4685 (2.6836) Prec@1 47.656 (42.022) Prec@5 71.094 (67.313) Epoch: [15][4820/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8865 (2.6838) Prec@1 41.406 (42.024) Prec@5 63.281 (67.308) Epoch: [15][4830/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.4750 (2.6838) Prec@1 48.438 (42.024) Prec@5 68.750 (67.307) Epoch: [15][4840/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7588 (2.6839) Prec@1 38.281 (42.020) Prec@5 66.406 (67.306) Epoch: [15][4850/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.2029 (2.6840) Prec@1 36.719 (42.021) Prec@5 60.156 (67.305) Epoch: [15][4860/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.5795 (2.6839) Prec@1 36.719 (42.019) Prec@5 66.406 (67.307) Epoch: [15][4870/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8486 (2.6840) Prec@1 34.375 (42.020) Prec@5 67.188 (67.306) Epoch: [15][4880/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4955 (2.6836) Prec@1 41.406 (42.028) Prec@5 67.188 (67.309) Epoch: [15][4890/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7011 (2.6838) Prec@1 41.406 (42.028) Prec@5 68.750 (67.305) Epoch: [15][4900/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.2404 (2.6843) Prec@1 35.156 (42.022) Prec@5 59.375 (67.297) Epoch: [15][4910/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5314 (2.6840) Prec@1 45.312 (42.025) Prec@5 69.531 (67.303) Epoch: [15][4920/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4313 (2.6840) Prec@1 46.094 (42.025) Prec@5 71.875 (67.300) Epoch: [15][4930/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.5976 (2.6842) Prec@1 39.844 (42.022) Prec@5 63.281 (67.294) Epoch: [15][4940/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7993 (2.6843) Prec@1 38.281 (42.022) Prec@5 67.188 (67.292) Epoch: [15][4950/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.7099 (2.6845) Prec@1 36.719 (42.018) Prec@5 63.281 (67.286) Epoch: [15][4960/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9428 (2.6848) Prec@1 36.719 (42.013) Prec@5 60.938 (67.283) Epoch: [15][4970/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5786 (2.6848) Prec@1 41.406 (42.011) Prec@5 70.312 (67.283) Epoch: [15][4980/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8052 (2.6847) Prec@1 40.625 (42.016) Prec@5 64.062 (67.285) Epoch: [15][4990/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9207 (2.6847) Prec@1 35.156 (42.020) Prec@5 58.594 (67.283) Epoch: [15][5000/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.3475 (2.6848) Prec@1 46.875 (42.017) Prec@5 68.750 (67.282) Epoch: [15][5010/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6426 (2.6845) Prec@1 45.312 (42.022) Prec@5 67.969 (67.287) Epoch: [15][5020/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0877 (2.6844) Prec@1 32.031 (42.023) Prec@5 63.281 (67.290) Epoch: [15][5030/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1458 (2.6846) Prec@1 35.156 (42.021) Prec@5 57.812 (67.288) Epoch: [15][5040/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9348 (2.6846) Prec@1 35.938 (42.020) Prec@5 67.969 (67.289) Epoch: [15][5050/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8313 (2.6848) Prec@1 42.969 (42.016) Prec@5 65.625 (67.286) Epoch: [15][5060/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8114 (2.6850) Prec@1 38.281 (42.012) Prec@5 66.406 (67.287) Epoch: [15][5070/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.5209 (2.6850) Prec@1 44.531 (42.012) Prec@5 70.312 (67.284) Epoch: [15][5080/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6951 (2.6852) Prec@1 39.844 (42.010) Prec@5 64.062 (67.280) Epoch: [15][5090/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4146 (2.6851) Prec@1 46.875 (42.014) Prec@5 71.875 (67.286) Epoch: [15][5100/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7086 (2.6851) Prec@1 40.625 (42.011) Prec@5 67.188 (67.284) Epoch: [15][5110/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8408 (2.6852) Prec@1 34.375 (42.012) Prec@5 61.719 (67.282) /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: [15][5120/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8745 (2.6853) Prec@1 44.531 (42.010) Prec@5 60.938 (67.279) Epoch: [15][5130/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.4793 (2.6855) Prec@1 46.875 (42.009) Prec@5 72.656 (67.274) Epoch: [15][5140/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8820 (2.6857) Prec@1 34.375 (42.006) Prec@5 65.625 (67.272) Epoch: [15][5150/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0999 (2.6859) Prec@1 32.812 (41.999) Prec@5 59.375 (67.268) Epoch: [15][5160/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7503 (2.6861) Prec@1 44.531 (41.999) Prec@5 65.625 (67.265) Epoch: [15][5170/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4942 (2.6861) Prec@1 43.750 (41.997) Prec@5 67.969 (67.267) Epoch: [15][5180/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8023 (2.6858) Prec@1 39.062 (42.001) Prec@5 68.750 (67.271) Epoch: [15][5190/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5448 (2.6860) Prec@1 42.969 (41.994) Prec@5 71.094 (67.268) Epoch: [15][5200/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8078 (2.6861) Prec@1 39.844 (41.993) Prec@5 65.625 (67.266) Epoch: [15][5210/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.9200 (2.6861) Prec@1 37.500 (41.992) Prec@5 61.719 (67.266) Epoch: [15][5220/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4698 (2.6861) Prec@1 42.188 (41.992) Prec@5 67.188 (67.267) Epoch: [15][5230/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6169 (2.6861) Prec@1 41.406 (41.988) Prec@5 70.312 (67.268) Epoch: [15][5240/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7084 (2.6861) Prec@1 40.625 (41.989) Prec@5 65.625 (67.266) Epoch: [15][5250/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.3409 (2.6861) Prec@1 47.656 (41.987) Prec@5 71.875 (67.268) Epoch: [15][5260/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7018 (2.6858) Prec@1 42.969 (41.994) Prec@5 71.875 (67.272) Epoch: [15][5270/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4613 (2.6860) Prec@1 46.094 (41.990) Prec@5 71.875 (67.271) Epoch: [15][5280/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6795 (2.6862) Prec@1 38.281 (41.987) Prec@5 70.312 (67.271) Epoch: [15][5290/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7198 (2.6863) Prec@1 38.281 (41.986) Prec@5 68.750 (67.269) Epoch: [15][5300/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6572 (2.6862) Prec@1 44.531 (41.991) Prec@5 65.625 (67.271) Epoch: [15][5310/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7747 (2.6860) Prec@1 40.625 (41.995) Prec@5 64.062 (67.275) Epoch: [15][5320/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5644 (2.6861) Prec@1 44.531 (41.989) Prec@5 71.094 (67.274) Epoch: [15][5330/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5212 (2.6862) Prec@1 44.531 (41.990) Prec@5 71.875 (67.272) Epoch: [15][5340/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7297 (2.6863) Prec@1 40.625 (41.987) Prec@5 66.406 (67.270) Epoch: [15][5350/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8283 (2.6863) Prec@1 36.719 (41.987) Prec@5 69.531 (67.273) Epoch: [15][5360/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.0355 (2.6863) Prec@1 38.281 (41.987) Prec@5 57.031 (67.270) Epoch: [15][5370/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.3700 (2.6863) Prec@1 52.344 (41.991) Prec@5 70.312 (67.270) Epoch: [15][5380/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4035 (2.6863) Prec@1 40.625 (41.994) Prec@5 74.219 (67.270) Epoch: [15][5390/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.6393 (2.6863) Prec@1 36.719 (41.992) Prec@5 64.844 (67.270) Epoch: [15][5400/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6456 (2.6864) Prec@1 47.656 (41.991) Prec@5 69.531 (67.268) Epoch: [15][5410/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6130 (2.6863) Prec@1 35.938 (41.991) Prec@5 67.188 (67.268) Epoch: [15][5420/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7789 (2.6862) Prec@1 39.844 (41.992) Prec@5 70.312 (67.272) Epoch: [15][5430/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5852 (2.6861) Prec@1 42.969 (41.995) Prec@5 71.875 (67.273) Epoch: [15][5440/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.9055 (2.6864) Prec@1 39.062 (41.990) Prec@5 62.500 (67.270) Epoch: [15][5450/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7682 (2.6866) Prec@1 43.750 (41.988) Prec@5 63.281 (67.267) Epoch: [15][5460/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9963 (2.6866) Prec@1 41.406 (41.991) Prec@5 60.938 (67.268) Epoch: [15][5470/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9768 (2.6868) Prec@1 37.500 (41.988) Prec@5 64.062 (67.264) Epoch: [15][5480/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.4865 (2.6867) Prec@1 44.531 (41.991) Prec@5 76.562 (67.267) Epoch: [15][5490/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4274 (2.6866) Prec@1 45.312 (41.992) Prec@5 68.750 (67.268) Epoch: [15][5500/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7458 (2.6866) Prec@1 36.719 (41.992) Prec@5 66.406 (67.269) Epoch: [15][5510/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6708 (2.6867) Prec@1 41.406 (41.990) Prec@5 67.188 (67.264) Epoch: [15][5520/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.4328 (2.6867) Prec@1 39.844 (41.993) Prec@5 69.531 (67.264) Epoch: [15][5530/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7355 (2.6869) Prec@1 42.188 (41.992) Prec@5 65.625 (67.263) Epoch: [15][5540/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4790 (2.6871) Prec@1 46.875 (41.988) Prec@5 70.312 (67.259) Epoch: [15][5550/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.4450 (2.6871) Prec@1 40.625 (41.987) Prec@5 71.875 (67.259) Epoch: [15][5560/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7291 (2.6871) Prec@1 42.969 (41.984) Prec@5 71.094 (67.260) Epoch: [15][5570/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.3693 (2.6871) Prec@1 44.531 (41.986) Prec@5 75.000 (67.261) Epoch: [15][5580/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 2.4815 (2.6874) Prec@1 46.094 (41.982) Prec@5 71.094 (67.257) Epoch: [15][5590/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.3807 (2.6875) Prec@1 48.438 (41.981) Prec@5 68.750 (67.253) Epoch: [15][5600/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8316 (2.6876) Prec@1 37.500 (41.979) Prec@5 67.188 (67.251) Epoch: [15][5610/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6782 (2.6876) Prec@1 40.625 (41.980) Prec@5 67.969 (67.251) Epoch: [15][5620/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6083 (2.6876) Prec@1 47.656 (41.982) Prec@5 72.656 (67.252) Epoch: [15][5630/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 3.0521 (2.6876) Prec@1 35.938 (41.981) Prec@5 67.969 (67.252) Epoch: [15][5640/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7299 (2.6876) Prec@1 39.844 (41.979) Prec@5 64.062 (67.250) Epoch: [15][5650/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6597 (2.6877) Prec@1 44.531 (41.979) Prec@5 66.406 (67.249) Epoch: [15][5660/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5278 (2.6878) Prec@1 41.406 (41.976) Prec@5 67.969 (67.249) Epoch: [15][5670/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 3.0373 (2.6878) Prec@1 32.031 (41.972) Prec@5 57.031 (67.247) Epoch: [15][5680/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5850 (2.6880) Prec@1 43.750 (41.968) Prec@5 64.844 (67.242) Epoch: [15][5690/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7421 (2.6878) Prec@1 42.188 (41.972) Prec@5 66.406 (67.244) Epoch: [15][5700/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0525 (2.6880) Prec@1 35.156 (41.970) Prec@5 61.719 (67.241) Epoch: [15][5710/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5994 (2.6879) Prec@1 42.969 (41.969) Prec@5 68.750 (67.246) Epoch: [15][5720/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9565 (2.6879) Prec@1 37.500 (41.967) Prec@5 65.625 (67.248) Epoch: [15][5730/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8365 (2.6880) Prec@1 42.188 (41.967) Prec@5 66.406 (67.248) Epoch: [15][5740/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6745 (2.6880) Prec@1 42.188 (41.968) Prec@5 68.750 (67.248) Epoch: [15][5750/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.4259 (2.6881) Prec@1 46.875 (41.965) Prec@5 75.000 (67.248) Epoch: [15][5760/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8709 (2.6882) Prec@1 42.188 (41.962) Prec@5 66.406 (67.249) Epoch: [15][5770/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5727 (2.6881) Prec@1 40.625 (41.961) Prec@5 67.188 (67.248) Epoch: [15][5780/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8262 (2.6881) Prec@1 41.406 (41.961) Prec@5 66.406 (67.248) Epoch: [15][5790/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.8048 (2.6881) Prec@1 40.625 (41.959) Prec@5 64.062 (67.246) Epoch: [15][5800/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1208 (2.6882) Prec@1 32.812 (41.957) Prec@5 60.938 (67.244) Epoch: [15][5810/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9685 (2.6881) Prec@1 33.594 (41.957) Prec@5 61.719 (67.246) Epoch: [15][5820/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7368 (2.6881) Prec@1 43.750 (41.956) Prec@5 64.062 (67.246) Epoch: [15][5830/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5230 (2.6883) Prec@1 43.750 (41.954) Prec@5 71.875 (67.243) Epoch: [15][5840/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6977 (2.6882) Prec@1 45.312 (41.952) Prec@5 65.625 (67.242) Epoch: [15][5850/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6258 (2.6884) Prec@1 44.531 (41.954) Prec@5 70.312 (67.237) Epoch: [15][5860/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8458 (2.6885) Prec@1 37.500 (41.953) Prec@5 67.969 (67.237) Epoch: [15][5870/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.1797 (2.6885) Prec@1 37.500 (41.955) Prec@5 58.594 (67.236) Epoch: [15][5880/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5102 (2.6884) Prec@1 42.969 (41.956) Prec@5 69.531 (67.241) Epoch: [15][5890/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.8050 (2.6884) Prec@1 46.094 (41.956) Prec@5 65.625 (67.244) Epoch: [15][5900/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6876 (2.6884) Prec@1 39.844 (41.958) Prec@5 66.406 (67.242) Epoch: [15][5910/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0358 (2.6884) Prec@1 41.406 (41.958) Prec@5 60.156 (67.239) Epoch: [15][5920/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6140 (2.6884) Prec@1 44.531 (41.961) Prec@5 73.438 (67.244) Epoch: [15][5930/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6425 (2.6883) Prec@1 37.500 (41.956) Prec@5 67.188 (67.243) /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: [15][5940/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7872 (2.6883) Prec@1 40.625 (41.955) Prec@5 68.750 (67.245) Epoch: [15][5950/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7377 (2.6881) Prec@1 41.406 (41.957) Prec@5 61.719 (67.246) Epoch: [15][5960/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6780 (2.6880) Prec@1 40.625 (41.956) Prec@5 65.625 (67.248) Epoch: [15][5970/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8430 (2.6881) Prec@1 39.844 (41.954) Prec@5 60.156 (67.247) Epoch: [15][5980/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6368 (2.6882) Prec@1 43.750 (41.949) Prec@5 65.625 (67.243) Epoch: [15][5990/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7766 (2.6882) Prec@1 45.312 (41.946) Prec@5 66.406 (67.241) Epoch: [15][6000/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.5232 (2.6883) Prec@1 45.312 (41.944) Prec@5 68.750 (67.242) Epoch: [15][6010/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7953 (2.6885) Prec@1 38.281 (41.940) Prec@5 62.500 (67.239) Epoch: [15][6020/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9258 (2.6885) Prec@1 35.938 (41.938) Prec@5 65.625 (67.239) Epoch: [15][6030/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5098 (2.6885) Prec@1 44.531 (41.939) Prec@5 73.438 (67.240) Epoch: [15][6040/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5747 (2.6884) Prec@1 38.281 (41.942) Prec@5 68.750 (67.240) Epoch: [15][6050/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.4628 (2.6883) Prec@1 45.312 (41.945) Prec@5 71.094 (67.240) /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: [15][6060/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7148 (2.6884) Prec@1 42.188 (41.945) Prec@5 66.406 (67.240) Epoch: [15][6070/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7526 (2.6883) Prec@1 44.531 (41.948) Prec@5 67.188 (67.241) Epoch: [15][6080/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6074 (2.6884) Prec@1 40.625 (41.946) Prec@5 68.750 (67.240) Epoch: [15][6090/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6140 (2.6885) Prec@1 39.062 (41.945) Prec@5 72.656 (67.239) Epoch: [15][6100/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4819 (2.6884) Prec@1 45.312 (41.946) Prec@5 76.562 (67.241) Epoch: [15][6110/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4705 (2.6885) Prec@1 46.875 (41.946) Prec@5 73.438 (67.240) Epoch: [15][6120/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.9310 (2.6887) Prec@1 35.156 (41.945) Prec@5 58.594 (67.239) Epoch: [15][6130/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4055 (2.6886) Prec@1 43.750 (41.946) Prec@5 74.219 (67.238) Epoch: [15][6140/10010] Time 0.354 (0.332) Data 0.000 (0.001) Loss 2.4620 (2.6886) Prec@1 44.531 (41.943) Prec@5 75.000 (67.238) Epoch: [15][6150/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7192 (2.6887) Prec@1 43.750 (41.941) Prec@5 69.531 (67.236) Epoch: [15][6160/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4503 (2.6886) Prec@1 46.875 (41.943) Prec@5 72.656 (67.237) Epoch: [15][6170/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8452 (2.6885) Prec@1 37.500 (41.944) Prec@5 65.625 (67.236) Epoch: [15][6180/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5683 (2.6886) Prec@1 43.750 (41.942) Prec@5 71.875 (67.234) Epoch: [15][6190/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6223 (2.6885) Prec@1 45.312 (41.943) Prec@5 69.531 (67.236) Epoch: [15][6200/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8879 (2.6886) Prec@1 38.281 (41.942) Prec@5 67.969 (67.233) Epoch: [15][6210/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5760 (2.6885) Prec@1 42.969 (41.948) Prec@5 71.875 (67.237) Epoch: [15][6220/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7765 (2.6886) Prec@1 42.188 (41.945) Prec@5 65.625 (67.236) /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: [15][6230/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7222 (2.6888) Prec@1 41.406 (41.943) Prec@5 67.969 (67.232) Epoch: [15][6240/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7056 (2.6890) Prec@1 42.969 (41.942) Prec@5 67.188 (67.230) Epoch: [15][6250/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.0292 (2.6890) Prec@1 31.250 (41.942) Prec@5 67.969 (67.230) Epoch: [15][6260/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.3852 (2.6889) Prec@1 49.219 (41.944) Prec@5 71.094 (67.229) Epoch: [15][6270/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6073 (2.6891) Prec@1 46.094 (41.944) Prec@5 67.969 (67.229) Epoch: [15][6280/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.3413 (2.6891) Prec@1 48.438 (41.943) Prec@5 68.750 (67.230) Epoch: [15][6290/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6120 (2.6893) Prec@1 39.062 (41.938) Prec@5 69.531 (67.227) Epoch: [15][6300/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7178 (2.6892) Prec@1 44.531 (41.941) Prec@5 64.062 (67.228) Epoch: [15][6310/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9964 (2.6894) Prec@1 38.281 (41.940) Prec@5 60.156 (67.226) Epoch: [15][6320/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6656 (2.6892) Prec@1 39.062 (41.942) Prec@5 68.750 (67.229) Epoch: [15][6330/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7076 (2.6891) Prec@1 41.406 (41.943) Prec@5 68.750 (67.229) Epoch: [15][6340/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8072 (2.6892) Prec@1 40.625 (41.941) Prec@5 64.844 (67.228) Epoch: [15][6350/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9003 (2.6894) Prec@1 42.188 (41.941) Prec@5 63.281 (67.225) Epoch: [15][6360/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.5868 (2.6893) Prec@1 44.531 (41.941) Prec@5 69.531 (67.228) Epoch: [15][6370/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.3530 (2.6891) Prec@1 43.750 (41.945) Prec@5 72.656 (67.229) Epoch: [15][6380/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.9330 (2.6891) Prec@1 36.719 (41.947) Prec@5 61.719 (67.228) Epoch: [15][6390/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4727 (2.6891) Prec@1 43.750 (41.948) Prec@5 72.656 (67.230) Epoch: [15][6400/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5935 (2.6892) Prec@1 42.188 (41.947) Prec@5 69.531 (67.231) Epoch: [15][6410/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6183 (2.6891) Prec@1 43.750 (41.948) Prec@5 73.438 (67.231) Epoch: [15][6420/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6289 (2.6892) Prec@1 43.750 (41.948) Prec@5 70.312 (67.233) Epoch: [15][6430/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8109 (2.6893) Prec@1 38.281 (41.949) Prec@5 67.969 (67.232) Epoch: [15][6440/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.4612 (2.6891) Prec@1 42.188 (41.952) Prec@5 71.875 (67.234) Epoch: [15][6450/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8291 (2.6891) Prec@1 34.375 (41.952) Prec@5 67.188 (67.235) Epoch: [15][6460/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8312 (2.6892) Prec@1 39.062 (41.949) Prec@5 64.844 (67.234) Epoch: [15][6470/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4974 (2.6891) Prec@1 42.188 (41.951) Prec@5 70.312 (67.237) Epoch: [15][6480/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.3255 (2.6891) Prec@1 46.875 (41.952) Prec@5 73.438 (67.236) Epoch: [15][6490/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.7486 (2.6892) Prec@1 42.969 (41.949) Prec@5 64.844 (67.234) Epoch: [15][6500/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8265 (2.6893) Prec@1 42.969 (41.950) Prec@5 66.406 (67.234) /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: [15][6510/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6622 (2.6893) Prec@1 35.938 (41.951) Prec@5 64.844 (67.232) Epoch: [15][6520/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.9199 (2.6894) Prec@1 40.625 (41.949) Prec@5 62.500 (67.230) Epoch: [15][6530/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.8376 (2.6895) Prec@1 46.094 (41.949) Prec@5 67.969 (67.230) Epoch: [15][6540/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5200 (2.6895) Prec@1 39.844 (41.949) Prec@5 71.094 (67.230) Epoch: [15][6550/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7467 (2.6894) Prec@1 42.969 (41.949) Prec@5 66.406 (67.231) Epoch: [15][6560/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7728 (2.6894) Prec@1 37.500 (41.951) Prec@5 64.844 (67.232) Epoch: [15][6570/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8311 (2.6894) Prec@1 39.844 (41.952) Prec@5 64.844 (67.232) Epoch: [15][6580/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4021 (2.6893) Prec@1 45.312 (41.952) Prec@5 71.094 (67.235) Epoch: [15][6590/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.4700 (2.6895) Prec@1 46.094 (41.951) Prec@5 73.438 (67.233) Epoch: [15][6600/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.5864 (2.6895) Prec@1 43.750 (41.951) Prec@5 68.750 (67.236) Epoch: [15][6610/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7353 (2.6895) Prec@1 41.406 (41.951) Prec@5 67.188 (67.237) Epoch: [15][6620/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7192 (2.6895) Prec@1 39.844 (41.952) Prec@5 67.969 (67.237) Epoch: [15][6630/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5090 (2.6895) Prec@1 42.188 (41.954) Prec@5 71.875 (67.239) Epoch: [15][6640/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5173 (2.6895) Prec@1 45.312 (41.955) Prec@5 72.656 (67.237) Epoch: [15][6650/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.3366 (2.6894) Prec@1 42.969 (41.956) Prec@5 74.219 (67.237) Epoch: [15][6660/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8008 (2.6894) Prec@1 39.062 (41.956) Prec@5 67.969 (67.239) Epoch: [15][6670/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5374 (2.6895) Prec@1 48.438 (41.957) Prec@5 76.562 (67.236) Epoch: [15][6680/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8147 (2.6895) Prec@1 34.375 (41.956) Prec@5 63.281 (67.236) Epoch: [15][6690/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6292 (2.6895) Prec@1 45.312 (41.956) Prec@5 67.969 (67.236) Epoch: [15][6700/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8976 (2.6896) Prec@1 39.844 (41.955) Prec@5 60.938 (67.233) Epoch: [15][6710/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6266 (2.6895) Prec@1 43.750 (41.956) Prec@5 71.094 (67.237) Epoch: [15][6720/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5004 (2.6896) Prec@1 46.094 (41.954) Prec@5 69.531 (67.235) Epoch: [15][6730/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.1096 (2.6898) Prec@1 38.281 (41.948) Prec@5 64.062 (67.231) Epoch: [15][6740/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5795 (2.6899) Prec@1 36.719 (41.946) Prec@5 66.406 (67.227) Epoch: [15][6750/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5471 (2.6898) Prec@1 42.969 (41.946) Prec@5 69.531 (67.227) Epoch: [15][6760/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5836 (2.6898) Prec@1 42.188 (41.947) Prec@5 70.312 (67.228) Epoch: [15][6770/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6028 (2.6899) Prec@1 42.969 (41.946) Prec@5 70.312 (67.228) Epoch: [15][6780/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8201 (2.6900) Prec@1 37.500 (41.945) Prec@5 67.188 (67.228) Epoch: [15][6790/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.9910 (2.6901) Prec@1 39.062 (41.942) Prec@5 57.812 (67.224) Epoch: [15][6800/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6328 (2.6901) Prec@1 43.750 (41.944) Prec@5 67.188 (67.224) Epoch: [15][6810/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7133 (2.6902) Prec@1 41.406 (41.944) Prec@5 65.625 (67.223) Epoch: [15][6820/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7937 (2.6901) Prec@1 41.406 (41.944) Prec@5 63.281 (67.223) Epoch: [15][6830/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5048 (2.6900) Prec@1 41.406 (41.948) Prec@5 68.750 (67.223) Epoch: [15][6840/10010] Time 0.312 (0.332) Data 0.000 (0.001) Loss 2.7277 (2.6902) Prec@1 41.406 (41.946) Prec@5 67.188 (67.221) Epoch: [15][6850/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7921 (2.6903) Prec@1 38.281 (41.943) Prec@5 64.844 (67.218) Epoch: [15][6860/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.0508 (2.6904) Prec@1 38.281 (41.944) Prec@5 57.031 (67.216) Epoch: [15][6870/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6137 (2.6906) Prec@1 41.406 (41.942) Prec@5 66.406 (67.210) Epoch: [15][6880/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6469 (2.6906) Prec@1 43.750 (41.942) Prec@5 69.531 (67.210) Epoch: [15][6890/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8501 (2.6907) Prec@1 34.375 (41.941) Prec@5 67.188 (67.210) Epoch: [15][6900/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.9211 (2.6907) Prec@1 42.969 (41.941) Prec@5 64.844 (67.212) Epoch: [15][6910/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4920 (2.6906) Prec@1 39.062 (41.942) Prec@5 66.406 (67.212) Epoch: [15][6920/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7294 (2.6907) Prec@1 42.188 (41.942) Prec@5 66.406 (67.209) Epoch: [15][6930/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4930 (2.6909) Prec@1 47.656 (41.941) Prec@5 73.438 (67.207) Epoch: [15][6940/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9220 (2.6910) Prec@1 32.031 (41.940) Prec@5 64.844 (67.205) Epoch: [15][6950/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 3.3192 (2.6911) Prec@1 33.594 (41.939) Prec@5 53.906 (67.202) Epoch: [15][6960/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.1348 (2.6910) Prec@1 35.938 (41.941) Prec@5 60.938 (67.203) Epoch: [15][6970/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5891 (2.6911) Prec@1 47.656 (41.941) Prec@5 65.625 (67.200) Epoch: [15][6980/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.0915 (2.6911) Prec@1 40.625 (41.942) Prec@5 59.375 (67.198) Epoch: [15][6990/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8425 (2.6911) Prec@1 37.500 (41.942) Prec@5 66.406 (67.198) Epoch: [15][7000/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.2893 (2.6911) Prec@1 45.312 (41.940) Prec@5 74.219 (67.197) Epoch: [15][7010/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4150 (2.6913) Prec@1 49.219 (41.937) Prec@5 72.656 (67.197) Epoch: [15][7020/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8103 (2.6913) Prec@1 42.969 (41.938) Prec@5 67.188 (67.196) Epoch: [15][7030/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6094 (2.6913) Prec@1 41.406 (41.937) Prec@5 67.969 (67.195) Epoch: [15][7040/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 3.0150 (2.6915) Prec@1 35.938 (41.936) Prec@5 61.719 (67.193) Epoch: [15][7050/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4123 (2.6916) Prec@1 45.312 (41.935) Prec@5 68.750 (67.191) Epoch: [15][7060/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5757 (2.6914) Prec@1 42.969 (41.936) Prec@5 71.094 (67.194) Epoch: [15][7070/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6102 (2.6913) Prec@1 42.969 (41.938) Prec@5 69.531 (67.195) Epoch: [15][7080/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.9609 (2.6914) Prec@1 35.938 (41.937) Prec@5 58.594 (67.193) Epoch: [15][7090/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6662 (2.6915) Prec@1 40.625 (41.936) Prec@5 68.750 (67.191) Epoch: [15][7100/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6819 (2.6914) Prec@1 45.312 (41.939) Prec@5 64.062 (67.194) Epoch: [15][7110/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5756 (2.6915) Prec@1 42.188 (41.937) Prec@5 72.656 (67.191) Epoch: [15][7120/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9796 (2.6915) Prec@1 38.281 (41.936) Prec@5 64.062 (67.190) Epoch: [15][7130/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6161 (2.6914) Prec@1 38.281 (41.937) Prec@5 68.750 (67.193) Epoch: [15][7140/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7680 (2.6914) Prec@1 42.969 (41.936) Prec@5 65.625 (67.195) Epoch: [15][7150/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6670 (2.6915) Prec@1 41.406 (41.936) Prec@5 66.406 (67.192) Epoch: [15][7160/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.1737 (2.6915) Prec@1 53.125 (41.938) Prec@5 71.094 (67.190) Epoch: [15][7170/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.2810 (2.6914) Prec@1 50.781 (41.937) Prec@5 71.875 (67.191) Epoch: [15][7180/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9803 (2.6915) Prec@1 32.812 (41.934) Prec@5 59.375 (67.190) Epoch: [15][7190/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6696 (2.6916) Prec@1 33.594 (41.932) Prec@5 68.750 (67.188) Epoch: [15][7200/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.9686 (2.6916) Prec@1 40.625 (41.933) Prec@5 63.281 (67.189) Epoch: [15][7210/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.3180 (2.6915) Prec@1 46.094 (41.934) Prec@5 75.000 (67.192) Epoch: [15][7220/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6792 (2.6914) Prec@1 39.062 (41.933) Prec@5 67.188 (67.192) Epoch: [15][7230/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8517 (2.6915) Prec@1 35.156 (41.933) Prec@5 64.844 (67.191) Epoch: [15][7240/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6549 (2.6914) Prec@1 43.750 (41.933) Prec@5 67.188 (67.192) Epoch: [15][7250/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7671 (2.6914) Prec@1 42.969 (41.934) Prec@5 69.531 (67.194) Epoch: [15][7260/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0567 (2.6912) Prec@1 39.062 (41.940) Prec@5 62.500 (67.195) Epoch: [15][7270/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6659 (2.6913) Prec@1 48.438 (41.940) Prec@5 67.188 (67.196) Epoch: [15][7280/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.3871 (2.6911) Prec@1 41.406 (41.942) Prec@5 71.094 (67.199) Epoch: [15][7290/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.8797 (2.6913) Prec@1 41.406 (41.940) Prec@5 61.719 (67.197) Epoch: [15][7300/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6656 (2.6915) Prec@1 41.406 (41.936) Prec@5 65.625 (67.193) Epoch: [15][7310/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.5566 (2.6916) Prec@1 45.312 (41.934) Prec@5 65.625 (67.190) Epoch: [15][7320/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8832 (2.6917) Prec@1 39.844 (41.930) Prec@5 68.750 (67.188) Epoch: [15][7330/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8481 (2.6917) Prec@1 41.406 (41.931) Prec@5 69.531 (67.190) Epoch: [15][7340/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9061 (2.6918) Prec@1 36.719 (41.929) Prec@5 61.719 (67.186) Epoch: [15][7350/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.5781 (2.6918) Prec@1 45.312 (41.930) Prec@5 71.094 (67.185) Epoch: [15][7360/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8832 (2.6919) Prec@1 35.938 (41.928) Prec@5 61.719 (67.184) Epoch: [15][7370/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7943 (2.6919) Prec@1 41.406 (41.929) Prec@5 67.969 (67.184) Epoch: [15][7380/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.9552 (2.6918) Prec@1 39.062 (41.932) Prec@5 60.938 (67.188) Epoch: [15][7390/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8494 (2.6918) Prec@1 41.406 (41.932) Prec@5 64.844 (67.186) Epoch: [15][7400/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6266 (2.6918) Prec@1 46.875 (41.933) Prec@5 67.969 (67.187) Epoch: [15][7410/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5140 (2.6918) Prec@1 48.438 (41.934) Prec@5 69.531 (67.187) Epoch: [15][7420/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.5049 (2.6919) Prec@1 45.312 (41.933) Prec@5 67.188 (67.186) Epoch: [15][7430/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9287 (2.6919) Prec@1 35.156 (41.931) Prec@5 63.281 (67.185) Epoch: [15][7440/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7685 (2.6920) Prec@1 45.312 (41.930) Prec@5 64.062 (67.185) Epoch: [15][7450/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.1708 (2.6921) Prec@1 30.469 (41.928) Prec@5 63.281 (67.184) Epoch: [15][7460/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8840 (2.6922) Prec@1 39.062 (41.926) Prec@5 64.844 (67.183) Epoch: [15][7470/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.7203 (2.6923) Prec@1 43.750 (41.926) Prec@5 67.188 (67.183) Epoch: [15][7480/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.5709 (2.6921) Prec@1 44.531 (41.928) Prec@5 70.312 (67.185) Epoch: [15][7490/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5063 (2.6920) Prec@1 42.188 (41.930) Prec@5 69.531 (67.185) Epoch: [15][7500/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7681 (2.6920) Prec@1 43.750 (41.932) Prec@5 63.281 (67.185) Epoch: [15][7510/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.4997 (2.6921) Prec@1 40.625 (41.930) Prec@5 71.094 (67.183) Epoch: [15][7520/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8937 (2.6921) Prec@1 37.500 (41.929) Prec@5 65.625 (67.182) Epoch: [15][7530/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7109 (2.6922) Prec@1 42.969 (41.929) Prec@5 64.062 (67.180) Epoch: [15][7540/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4880 (2.6922) Prec@1 39.844 (41.928) Prec@5 73.438 (67.179) Epoch: [15][7550/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6901 (2.6923) Prec@1 40.625 (41.929) Prec@5 65.625 (67.177) Epoch: [15][7560/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.0398 (2.6924) Prec@1 31.250 (41.925) Prec@5 63.281 (67.174) Epoch: [15][7570/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7395 (2.6923) Prec@1 42.969 (41.927) Prec@5 63.281 (67.175) Epoch: [15][7580/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.0198 (2.6922) Prec@1 35.938 (41.926) Prec@5 64.844 (67.176) Epoch: [15][7590/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4164 (2.6922) Prec@1 48.438 (41.929) Prec@5 72.656 (67.177) Epoch: [15][7600/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9157 (2.6922) Prec@1 40.625 (41.928) Prec@5 66.406 (67.180) Epoch: [15][7610/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.3800 (2.6920) Prec@1 50.781 (41.932) Prec@5 71.094 (67.183) Epoch: [15][7620/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.9047 (2.6920) Prec@1 42.188 (41.934) Prec@5 66.406 (67.185) Epoch: [15][7630/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7345 (2.6918) Prec@1 39.844 (41.937) Prec@5 67.969 (67.186) Epoch: [15][7640/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8358 (2.6917) Prec@1 36.719 (41.940) Prec@5 67.969 (67.188) Epoch: [15][7650/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5031 (2.6916) Prec@1 44.531 (41.942) Prec@5 67.188 (67.187) Epoch: [15][7660/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.0527 (2.6917) Prec@1 39.844 (41.940) Prec@5 64.062 (67.185) Epoch: [15][7670/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.5272 (2.6917) Prec@1 42.969 (41.940) Prec@5 67.969 (67.184) Epoch: [15][7680/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7893 (2.6916) Prec@1 40.625 (41.943) Prec@5 67.188 (67.184) Epoch: [15][7690/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6710 (2.6916) Prec@1 44.531 (41.944) Prec@5 65.625 (67.184) Epoch: [15][7700/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 3.1739 (2.6917) Prec@1 36.719 (41.941) Prec@5 58.594 (67.181) Epoch: [15][7710/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6057 (2.6917) Prec@1 46.875 (41.942) Prec@5 75.000 (67.181) Epoch: [15][7720/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9127 (2.6917) Prec@1 40.625 (41.944) Prec@5 66.406 (67.182) Epoch: [15][7730/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8266 (2.6918) Prec@1 38.281 (41.943) Prec@5 66.406 (67.180) Epoch: [15][7740/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8111 (2.6920) Prec@1 43.750 (41.944) Prec@5 61.719 (67.176) Epoch: [15][7750/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5636 (2.6919) Prec@1 39.062 (41.943) Prec@5 66.406 (67.178) Epoch: [15][7760/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.3597 (2.6919) Prec@1 42.969 (41.940) Prec@5 71.875 (67.178) Epoch: [15][7770/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.9544 (2.6919) Prec@1 32.031 (41.941) Prec@5 60.938 (67.180) Epoch: [15][7780/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.9330 (2.6920) Prec@1 39.844 (41.942) Prec@5 62.500 (67.179) Epoch: [15][7790/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8225 (2.6920) Prec@1 41.406 (41.941) Prec@5 64.844 (67.179) Epoch: [15][7800/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7259 (2.6919) Prec@1 40.625 (41.940) Prec@5 67.188 (67.180) Epoch: [15][7810/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9610 (2.6920) Prec@1 39.062 (41.939) Prec@5 63.281 (67.180) Epoch: [15][7820/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.0914 (2.6919) Prec@1 34.375 (41.939) Prec@5 60.156 (67.180) Epoch: [15][7830/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.0075 (2.6919) Prec@1 32.031 (41.940) Prec@5 58.594 (67.181) Epoch: [15][7840/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.9176 (2.6920) Prec@1 39.062 (41.938) Prec@5 63.281 (67.178) Epoch: [15][7850/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6653 (2.6921) Prec@1 43.750 (41.937) Prec@5 66.406 (67.178) Epoch: [15][7860/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9445 (2.6920) Prec@1 35.156 (41.935) Prec@5 60.938 (67.178) Epoch: [15][7870/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9836 (2.6920) Prec@1 35.938 (41.934) Prec@5 63.281 (67.180) Epoch: [15][7880/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0522 (2.6921) Prec@1 35.156 (41.934) Prec@5 63.281 (67.179) Epoch: [15][7890/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6339 (2.6921) Prec@1 41.406 (41.933) Prec@5 74.219 (67.180) Epoch: [15][7900/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7715 (2.6921) Prec@1 43.750 (41.934) Prec@5 64.062 (67.183) Epoch: [15][7910/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9307 (2.6921) Prec@1 39.062 (41.933) Prec@5 64.844 (67.182) Epoch: [15][7920/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7097 (2.6922) Prec@1 39.844 (41.930) Prec@5 64.844 (67.182) Epoch: [15][7930/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.2773 (2.6921) Prec@1 43.750 (41.931) Prec@5 76.562 (67.183) Epoch: [15][7940/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9535 (2.6922) Prec@1 41.406 (41.932) Prec@5 64.844 (67.181) Epoch: [15][7950/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4954 (2.6921) Prec@1 46.094 (41.933) Prec@5 70.312 (67.183) Epoch: [15][7960/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4845 (2.6921) Prec@1 42.969 (41.932) Prec@5 72.656 (67.183) Epoch: [15][7970/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6360 (2.6920) Prec@1 46.875 (41.934) Prec@5 65.625 (67.184) Epoch: [15][7980/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.1174 (2.6921) Prec@1 32.031 (41.932) Prec@5 64.062 (67.185) Epoch: [15][7990/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9880 (2.6921) Prec@1 37.500 (41.932) Prec@5 64.062 (67.183) Epoch: [15][8000/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.0260 (2.6922) Prec@1 40.625 (41.933) Prec@5 60.938 (67.184) Epoch: [15][8010/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6003 (2.6924) Prec@1 43.750 (41.931) Prec@5 71.094 (67.181) Epoch: [15][8020/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.9393 (2.6923) Prec@1 40.625 (41.934) Prec@5 68.750 (67.184) Epoch: [15][8030/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.2294 (2.6923) Prec@1 48.438 (41.932) Prec@5 70.312 (67.183) Epoch: [15][8040/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7731 (2.6923) Prec@1 39.062 (41.931) Prec@5 66.406 (67.183) Epoch: [15][8050/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8397 (2.6924) Prec@1 39.844 (41.930) Prec@5 67.188 (67.183) Epoch: [15][8060/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7685 (2.6924) Prec@1 33.594 (41.930) Prec@5 66.406 (67.184) Epoch: [15][8070/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4530 (2.6925) Prec@1 50.781 (41.932) Prec@5 71.094 (67.184) Epoch: [15][8080/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7238 (2.6924) Prec@1 34.375 (41.931) Prec@5 69.531 (67.184) Epoch: [15][8090/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.0752 (2.6925) Prec@1 34.375 (41.929) Prec@5 60.156 (67.184) Epoch: [15][8100/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9274 (2.6924) Prec@1 38.281 (41.930) Prec@5 65.625 (67.186) Epoch: [15][8110/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6696 (2.6923) Prec@1 43.750 (41.933) Prec@5 64.844 (67.189) Epoch: [15][8120/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.0621 (2.6922) Prec@1 35.156 (41.935) Prec@5 63.281 (67.192) Epoch: [15][8130/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7220 (2.6923) Prec@1 42.969 (41.936) Prec@5 65.625 (67.190) Epoch: [15][8140/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5516 (2.6922) Prec@1 42.188 (41.937) Prec@5 71.094 (67.192) Epoch: [15][8150/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8358 (2.6922) Prec@1 39.844 (41.937) Prec@5 63.281 (67.192) Epoch: [15][8160/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.8315 (2.6923) Prec@1 39.062 (41.933) Prec@5 65.625 (67.188) Epoch: [15][8170/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.3649 (2.6923) Prec@1 47.656 (41.935) Prec@5 67.188 (67.188) Epoch: [15][8180/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7354 (2.6922) Prec@1 44.531 (41.935) Prec@5 64.844 (67.190) Epoch: [15][8190/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1509 (2.6922) Prec@1 53.125 (41.938) Prec@5 75.781 (67.190) Epoch: [15][8200/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4694 (2.6921) Prec@1 37.500 (41.939) Prec@5 68.750 (67.191) Epoch: [15][8210/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.4544 (2.6922) Prec@1 48.438 (41.939) Prec@5 72.656 (67.189) Epoch: [15][8220/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.4870 (2.6920) Prec@1 44.531 (41.942) Prec@5 70.312 (67.190) Epoch: [15][8230/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6210 (2.6920) Prec@1 38.281 (41.943) Prec@5 68.750 (67.191) Epoch: [15][8240/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8465 (2.6919) Prec@1 40.625 (41.945) Prec@5 67.188 (67.194) Epoch: [15][8250/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.9258 (2.6919) Prec@1 42.188 (41.945) Prec@5 64.062 (67.194) Epoch: [15][8260/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4891 (2.6919) Prec@1 47.656 (41.947) Prec@5 67.969 (67.193) Epoch: [15][8270/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.1475 (2.6922) Prec@1 34.375 (41.942) Prec@5 57.031 (67.188) Epoch: [15][8280/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6492 (2.6922) Prec@1 41.406 (41.941) Prec@5 65.625 (67.189) Epoch: [15][8290/10010] Time 0.351 (0.332) Data 0.001 (0.001) Loss 2.6623 (2.6922) Prec@1 42.969 (41.941) Prec@5 66.406 (67.188) Epoch: [15][8300/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6003 (2.6922) Prec@1 43.750 (41.942) Prec@5 67.969 (67.187) Epoch: [15][8310/10010] Time 0.341 (0.332) Data 0.002 (0.001) Loss 2.5671 (2.6921) Prec@1 41.406 (41.944) Prec@5 67.969 (67.189) Epoch: [15][8320/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6280 (2.6920) Prec@1 43.750 (41.947) Prec@5 62.500 (67.189) Epoch: [15][8330/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.7076 (2.6920) Prec@1 46.094 (41.945) Prec@5 66.406 (67.188) Epoch: [15][8340/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.6836 (2.6923) Prec@1 39.844 (41.940) Prec@5 68.750 (67.184) Epoch: [15][8350/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6366 (2.6924) Prec@1 45.312 (41.939) Prec@5 67.188 (67.181) Epoch: [15][8360/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6784 (2.6924) Prec@1 37.500 (41.938) Prec@5 64.062 (67.181) Epoch: [15][8370/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 3.0892 (2.6925) Prec@1 33.594 (41.937) Prec@5 62.500 (67.180) Epoch: [15][8380/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7975 (2.6925) Prec@1 40.625 (41.935) Prec@5 67.969 (67.181) Epoch: [15][8390/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4327 (2.6926) Prec@1 46.094 (41.933) Prec@5 72.656 (67.177) Epoch: [15][8400/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5835 (2.6925) Prec@1 43.750 (41.934) Prec@5 66.406 (67.178) Epoch: [15][8410/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.4380 (2.6926) Prec@1 39.062 (41.933) Prec@5 71.094 (67.176) Epoch: [15][8420/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7354 (2.6925) Prec@1 43.750 (41.933) Prec@5 70.312 (67.176) Epoch: [15][8430/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8600 (2.6925) Prec@1 37.500 (41.934) Prec@5 60.938 (67.175) Epoch: [15][8440/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6669 (2.6926) Prec@1 42.188 (41.934) Prec@5 63.281 (67.175) Epoch: [15][8450/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9008 (2.6926) Prec@1 45.312 (41.934) Prec@5 62.500 (67.174) Epoch: [15][8460/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.3131 (2.6925) Prec@1 51.562 (41.936) Prec@5 72.656 (67.177) Epoch: [15][8470/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.0636 (2.6927) Prec@1 38.281 (41.934) Prec@5 64.062 (67.173) Epoch: [15][8480/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.6764 (2.6926) Prec@1 41.406 (41.936) Prec@5 66.406 (67.174) Epoch: [15][8490/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7303 (2.6926) Prec@1 37.500 (41.936) Prec@5 67.188 (67.175) Epoch: [15][8500/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7914 (2.6926) Prec@1 39.844 (41.937) Prec@5 64.062 (67.176) Epoch: [15][8510/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.3575 (2.6925) Prec@1 51.562 (41.938) Prec@5 72.656 (67.175) Epoch: [15][8520/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8338 (2.6926) Prec@1 45.312 (41.936) Prec@5 63.281 (67.173) Epoch: [15][8530/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.0917 (2.6927) Prec@1 42.188 (41.936) Prec@5 61.719 (67.172) Epoch: [15][8540/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5544 (2.6925) Prec@1 45.312 (41.940) Prec@5 67.188 (67.175) Epoch: [15][8550/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6019 (2.6925) Prec@1 46.094 (41.938) Prec@5 73.438 (67.176) Epoch: [15][8560/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8361 (2.6925) Prec@1 39.844 (41.938) Prec@5 64.062 (67.176) Epoch: [15][8570/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4580 (2.6926) Prec@1 47.656 (41.938) Prec@5 69.531 (67.174) Epoch: [15][8580/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6861 (2.6926) Prec@1 39.844 (41.939) Prec@5 69.531 (67.174) Epoch: [15][8590/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.0094 (2.6927) Prec@1 37.500 (41.938) Prec@5 65.625 (67.171) Epoch: [15][8600/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5910 (2.6928) Prec@1 40.625 (41.938) Prec@5 68.750 (67.170) Epoch: [15][8610/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8009 (2.6927) Prec@1 42.188 (41.939) Prec@5 65.625 (67.172) Epoch: [15][8620/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9977 (2.6927) Prec@1 42.188 (41.938) Prec@5 63.281 (67.173) Epoch: [15][8630/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.3265 (2.6926) Prec@1 46.094 (41.941) Prec@5 77.344 (67.175) Epoch: [15][8640/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8055 (2.6924) Prec@1 41.406 (41.941) Prec@5 67.969 (67.179) Epoch: [15][8650/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4088 (2.6926) Prec@1 46.094 (41.939) Prec@5 75.000 (67.178) Epoch: [15][8660/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0148 (2.6925) Prec@1 36.719 (41.939) Prec@5 60.938 (67.179) Epoch: [15][8670/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8730 (2.6926) Prec@1 39.844 (41.940) Prec@5 67.969 (67.178) Epoch: [15][8680/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7302 (2.6926) Prec@1 42.188 (41.937) Prec@5 62.500 (67.178) Epoch: [15][8690/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7612 (2.6927) Prec@1 42.969 (41.936) Prec@5 64.844 (67.178) Epoch: [15][8700/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5962 (2.6926) Prec@1 38.281 (41.937) Prec@5 71.094 (67.180) Epoch: [15][8710/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6023 (2.6926) Prec@1 41.406 (41.939) Prec@5 65.625 (67.180) Epoch: [15][8720/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.1751 (2.6925) Prec@1 46.875 (41.938) Prec@5 78.125 (67.181) Epoch: [15][8730/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4916 (2.6925) Prec@1 45.312 (41.939) Prec@5 75.000 (67.182) Epoch: [15][8740/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8085 (2.6925) Prec@1 46.094 (41.938) Prec@5 64.062 (67.184) Epoch: [15][8750/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8033 (2.6925) Prec@1 37.500 (41.938) Prec@5 68.750 (67.185) Epoch: [15][8760/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.3855 (2.6926) Prec@1 48.438 (41.938) Prec@5 75.000 (67.185) Epoch: [15][8770/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.0621 (2.6927) Prec@1 33.594 (41.936) Prec@5 64.062 (67.184) Epoch: [15][8780/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7940 (2.6927) Prec@1 39.844 (41.936) Prec@5 72.656 (67.185) Epoch: [15][8790/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6648 (2.6927) Prec@1 39.062 (41.935) Prec@5 64.844 (67.184) Epoch: [15][8800/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6612 (2.6928) Prec@1 45.312 (41.932) Prec@5 67.188 (67.182) Epoch: [15][8810/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8601 (2.6929) Prec@1 39.062 (41.931) Prec@5 66.406 (67.181) Epoch: [15][8820/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7882 (2.6928) Prec@1 41.406 (41.933) Prec@5 67.188 (67.182) Epoch: [15][8830/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8847 (2.6929) Prec@1 39.062 (41.931) Prec@5 62.500 (67.180) Epoch: [15][8840/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.3694 (2.6930) Prec@1 52.344 (41.931) Prec@5 73.438 (67.180) Epoch: [15][8850/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9981 (2.6930) Prec@1 36.719 (41.931) Prec@5 60.156 (67.178) Epoch: [15][8860/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7403 (2.6930) Prec@1 36.719 (41.931) Prec@5 67.188 (67.178) Epoch: [15][8870/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5785 (2.6929) Prec@1 42.969 (41.931) Prec@5 67.969 (67.179) Epoch: [15][8880/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7701 (2.6930) Prec@1 40.625 (41.930) Prec@5 64.844 (67.179) Epoch: [15][8890/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6849 (2.6930) Prec@1 35.938 (41.930) Prec@5 69.531 (67.178) Epoch: [15][8900/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4676 (2.6928) Prec@1 52.344 (41.935) Prec@5 74.219 (67.181) Epoch: [15][8910/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.8816 (2.6928) Prec@1 39.844 (41.937) Prec@5 66.406 (67.181) Epoch: [15][8920/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9327 (2.6928) Prec@1 38.281 (41.936) Prec@5 65.625 (67.180) Epoch: [15][8930/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5962 (2.6928) Prec@1 43.750 (41.936) Prec@5 66.406 (67.179) Epoch: [15][8940/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6301 (2.6928) Prec@1 35.938 (41.935) Prec@5 68.750 (67.178) Epoch: [15][8950/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7811 (2.6928) Prec@1 37.500 (41.935) Prec@5 64.844 (67.177) Epoch: [15][8960/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6126 (2.6928) Prec@1 47.656 (41.935) Prec@5 68.750 (67.176) Epoch: [15][8970/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9489 (2.6927) Prec@1 39.062 (41.938) Prec@5 60.156 (67.176) Epoch: [15][8980/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9067 (2.6928) Prec@1 34.375 (41.936) Prec@5 67.188 (67.175) Epoch: [15][8990/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.9228 (2.6929) Prec@1 39.062 (41.936) Prec@5 64.062 (67.173) Epoch: [15][9000/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6107 (2.6928) Prec@1 42.969 (41.936) Prec@5 67.188 (67.173) Epoch: [15][9010/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8625 (2.6929) Prec@1 42.188 (41.935) Prec@5 61.719 (67.170) Epoch: [15][9020/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.9017 (2.6930) Prec@1 40.625 (41.936) Prec@5 64.844 (67.169) Epoch: [15][9030/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5764 (2.6930) Prec@1 44.531 (41.934) Prec@5 71.094 (67.172) Epoch: [15][9040/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8830 (2.6930) Prec@1 37.500 (41.933) Prec@5 57.812 (67.170) Epoch: [15][9050/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7118 (2.6930) Prec@1 44.531 (41.933) Prec@5 60.938 (67.169) Epoch: [15][9060/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5422 (2.6930) Prec@1 39.844 (41.932) Prec@5 71.094 (67.169) Epoch: [15][9070/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4179 (2.6930) Prec@1 48.438 (41.933) Prec@5 72.656 (67.170) Epoch: [15][9080/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4942 (2.6929) Prec@1 43.750 (41.934) Prec@5 67.188 (67.169) Epoch: [15][9090/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6238 (2.6930) Prec@1 46.875 (41.933) Prec@5 64.062 (67.167) Epoch: [15][9100/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5037 (2.6930) Prec@1 44.531 (41.933) Prec@5 65.625 (67.169) Epoch: [15][9110/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.3511 (2.6930) Prec@1 50.000 (41.931) Prec@5 76.562 (67.169) Epoch: [15][9120/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.2481 (2.6931) Prec@1 47.656 (41.930) Prec@5 75.000 (67.168) Epoch: [15][9130/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6981 (2.6931) Prec@1 42.969 (41.929) Prec@5 65.625 (67.168) Epoch: [15][9140/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6677 (2.6930) Prec@1 44.531 (41.932) Prec@5 64.062 (67.169) Epoch: [15][9150/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.1299 (2.6932) Prec@1 35.156 (41.929) Prec@5 57.812 (67.166) Epoch: [15][9160/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5459 (2.6933) Prec@1 46.094 (41.927) Prec@5 69.531 (67.167) Epoch: [15][9170/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 3.1637 (2.6935) Prec@1 37.500 (41.924) Prec@5 61.719 (67.165) Epoch: [15][9180/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7994 (2.6934) Prec@1 40.625 (41.925) Prec@5 70.312 (67.166) Epoch: [15][9190/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.1449 (2.6934) Prec@1 31.250 (41.923) Prec@5 58.594 (67.164) Epoch: [15][9200/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.4224 (2.6934) Prec@1 39.062 (41.923) Prec@5 78.125 (67.165) Epoch: [15][9210/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6491 (2.6935) Prec@1 43.750 (41.923) Prec@5 62.500 (67.164) Epoch: [15][9220/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6504 (2.6934) Prec@1 42.969 (41.925) Prec@5 67.188 (67.165) Epoch: [15][9230/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5148 (2.6934) Prec@1 42.969 (41.925) Prec@5 70.312 (67.164) Epoch: [15][9240/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5564 (2.6934) Prec@1 44.531 (41.924) Prec@5 68.750 (67.164) Epoch: [15][9250/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7119 (2.6935) Prec@1 40.625 (41.922) Prec@5 71.094 (67.164) Epoch: [15][9260/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6162 (2.6935) Prec@1 43.750 (41.921) Prec@5 68.750 (67.162) Epoch: [15][9270/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5472 (2.6936) Prec@1 45.312 (41.921) Prec@5 70.312 (67.159) Epoch: [15][9280/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6319 (2.6936) Prec@1 42.188 (41.922) Prec@5 65.625 (67.159) Epoch: [15][9290/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6934 (2.6935) Prec@1 34.375 (41.921) Prec@5 66.406 (67.160) Epoch: [15][9300/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.8925 (2.6937) Prec@1 43.750 (41.919) Prec@5 65.625 (67.158) Epoch: [15][9310/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9314 (2.6937) Prec@1 34.375 (41.919) Prec@5 60.156 (67.157) Epoch: [15][9320/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6856 (2.6937) Prec@1 42.188 (41.921) Prec@5 66.406 (67.157) Epoch: [15][9330/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8061 (2.6938) Prec@1 40.625 (41.918) Prec@5 67.188 (67.155) Epoch: [15][9340/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6323 (2.6939) Prec@1 41.406 (41.916) Prec@5 70.312 (67.152) Epoch: [15][9350/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9958 (2.6939) Prec@1 39.062 (41.915) Prec@5 60.938 (67.151) Epoch: [15][9360/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9744 (2.6941) Prec@1 39.062 (41.914) Prec@5 61.719 (67.148) Epoch: [15][9370/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9005 (2.6942) Prec@1 39.844 (41.913) Prec@5 69.531 (67.146) Epoch: [15][9380/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8213 (2.6943) Prec@1 39.062 (41.912) Prec@5 61.719 (67.144) Epoch: [15][9390/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6149 (2.6942) Prec@1 41.406 (41.910) Prec@5 70.312 (67.144) Epoch: [15][9400/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6268 (2.6942) Prec@1 42.969 (41.912) Prec@5 68.750 (67.143) Epoch: [15][9410/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6828 (2.6942) Prec@1 39.844 (41.912) Prec@5 68.750 (67.143) Epoch: [15][9420/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.8901 (2.6943) Prec@1 39.062 (41.911) Prec@5 65.625 (67.142) Epoch: [15][9430/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0573 (2.6943) Prec@1 35.156 (41.912) Prec@5 62.500 (67.142) Epoch: [15][9440/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5974 (2.6942) Prec@1 41.406 (41.911) Prec@5 66.406 (67.142) Epoch: [15][9450/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 3.1988 (2.6942) Prec@1 30.469 (41.911) Prec@5 55.469 (67.141) Epoch: [15][9460/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0341 (2.6943) Prec@1 38.281 (41.912) Prec@5 59.375 (67.140) Epoch: [15][9470/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6553 (2.6943) Prec@1 43.750 (41.912) Prec@5 66.406 (67.139) Epoch: [15][9480/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5919 (2.6942) Prec@1 41.406 (41.914) Prec@5 66.406 (67.140) Epoch: [15][9490/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.2374 (2.6941) Prec@1 53.125 (41.915) Prec@5 72.656 (67.141) Epoch: [15][9500/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7365 (2.6941) Prec@1 42.969 (41.914) Prec@5 65.625 (67.141) Epoch: [15][9510/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4164 (2.6940) Prec@1 51.562 (41.917) Prec@5 73.438 (67.141) Epoch: [15][9520/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6003 (2.6941) Prec@1 43.750 (41.916) Prec@5 70.312 (67.140) Epoch: [15][9530/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.7826 (2.6941) Prec@1 37.500 (41.916) Prec@5 64.062 (67.139) Epoch: [15][9540/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7409 (2.6941) Prec@1 38.281 (41.915) Prec@5 67.188 (67.139) Epoch: [15][9550/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7000 (2.6941) Prec@1 48.438 (41.916) Prec@5 67.188 (67.139) Epoch: [15][9560/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7697 (2.6941) Prec@1 43.750 (41.916) Prec@5 70.312 (67.140) Epoch: [15][9570/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4104 (2.6941) Prec@1 42.969 (41.917) Prec@5 72.656 (67.140) Epoch: [15][9580/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8723 (2.6942) Prec@1 39.844 (41.915) Prec@5 67.188 (67.139) Epoch: [15][9590/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4940 (2.6942) Prec@1 48.438 (41.915) Prec@5 67.188 (67.138) Epoch: [15][9600/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7015 (2.6942) Prec@1 42.969 (41.916) Prec@5 68.750 (67.138) Epoch: [15][9610/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.3460 (2.6943) Prec@1 32.031 (41.913) Prec@5 53.125 (67.137) Epoch: [15][9620/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5816 (2.6944) Prec@1 42.969 (41.912) Prec@5 67.188 (67.135) Epoch: [15][9630/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7881 (2.6945) Prec@1 39.844 (41.910) Prec@5 64.062 (67.134) Epoch: [15][9640/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8916 (2.6944) Prec@1 39.844 (41.912) Prec@5 67.969 (67.136) Epoch: [15][9650/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6320 (2.6944) Prec@1 39.062 (41.911) Prec@5 71.875 (67.136) Epoch: [15][9660/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5353 (2.6944) Prec@1 42.969 (41.909) Prec@5 68.750 (67.137) Epoch: [15][9670/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.0001 (2.6944) Prec@1 36.719 (41.909) Prec@5 61.719 (67.137) Epoch: [15][9680/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.0184 (2.6944) Prec@1 35.938 (41.908) Prec@5 61.719 (67.137) Epoch: [15][9690/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8448 (2.6945) Prec@1 42.969 (41.908) Prec@5 60.938 (67.136) Epoch: [15][9700/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5165 (2.6944) Prec@1 45.312 (41.910) Prec@5 71.094 (67.137) Epoch: [15][9710/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6264 (2.6944) Prec@1 41.406 (41.911) Prec@5 65.625 (67.137) Epoch: [15][9720/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8965 (2.6944) Prec@1 41.406 (41.911) Prec@5 64.844 (67.137) Epoch: [15][9730/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7378 (2.6944) Prec@1 43.750 (41.911) Prec@5 70.312 (67.137) Epoch: [15][9740/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7237 (2.6944) Prec@1 36.719 (41.911) Prec@5 66.406 (67.136) Epoch: [15][9750/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.8227 (2.6944) Prec@1 35.156 (41.909) Prec@5 63.281 (67.135) Epoch: [15][9760/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8401 (2.6945) Prec@1 45.312 (41.908) Prec@5 63.281 (67.133) Epoch: [15][9770/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4168 (2.6946) Prec@1 46.094 (41.907) Prec@5 70.312 (67.131) Epoch: [15][9780/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8417 (2.6947) Prec@1 39.844 (41.907) Prec@5 64.844 (67.129) Epoch: [15][9790/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7237 (2.6948) Prec@1 37.500 (41.904) Prec@5 65.625 (67.127) Epoch: [15][9800/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7339 (2.6948) Prec@1 41.406 (41.904) Prec@5 64.062 (67.126) Epoch: [15][9810/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6385 (2.6948) Prec@1 38.281 (41.903) Prec@5 66.406 (67.126) Epoch: [15][9820/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7342 (2.6948) Prec@1 44.531 (41.904) Prec@5 67.969 (67.127) Epoch: [15][9830/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8481 (2.6948) Prec@1 42.188 (41.904) Prec@5 64.844 (67.126) Epoch: [15][9840/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6382 (2.6948) Prec@1 39.844 (41.904) Prec@5 66.406 (67.125) Epoch: [15][9850/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4343 (2.6948) Prec@1 42.188 (41.904) Prec@5 71.094 (67.126) Epoch: [15][9860/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9671 (2.6949) Prec@1 36.719 (41.902) Prec@5 66.406 (67.125) Epoch: [15][9870/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7189 (2.6950) Prec@1 41.406 (41.901) Prec@5 64.844 (67.124) Epoch: [15][9880/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8195 (2.6949) Prec@1 35.938 (41.902) Prec@5 64.844 (67.125) Epoch: [15][9890/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7742 (2.6949) Prec@1 36.719 (41.903) Prec@5 63.281 (67.125) Epoch: [15][9900/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.4107 (2.6949) Prec@1 49.219 (41.904) Prec@5 71.094 (67.125) Epoch: [15][9910/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9511 (2.6949) Prec@1 35.156 (41.903) Prec@5 60.938 (67.126) Epoch: [15][9920/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8978 (2.6949) Prec@1 38.281 (41.902) Prec@5 64.062 (67.125) Epoch: [15][9930/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8208 (2.6949) Prec@1 44.531 (41.903) Prec@5 68.750 (67.126) Epoch: [15][9940/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4458 (2.6948) Prec@1 42.188 (41.904) Prec@5 68.750 (67.126) Epoch: [15][9950/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.2938 (2.6948) Prec@1 42.969 (41.905) Prec@5 72.656 (67.128) Epoch: [15][9960/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8193 (2.6947) Prec@1 38.281 (41.907) Prec@5 64.844 (67.128) Epoch: [15][9970/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8363 (2.6948) Prec@1 39.062 (41.905) Prec@5 64.844 (67.126) Epoch: [15][9980/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6128 (2.6947) Prec@1 38.281 (41.906) Prec@5 66.406 (67.127) Epoch: [15][9990/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6927 (2.6947) Prec@1 42.188 (41.907) Prec@5 65.625 (67.127) Epoch: [15][10000/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7197 (2.6946) Prec@1 42.969 (41.908) Prec@5 67.969 (67.127) Test: [0/391] Time 1.493 (1.493) Loss 1.1916 (1.1916) Prec@1 67.969 (67.969) Prec@5 89.844 (89.844) Test: [10/391] Time 0.105 (0.237) Loss 2.5420 (1.6603) Prec@1 48.438 (61.151) Prec@5 71.875 (84.304) Test: [20/391] Time 0.107 (0.174) Loss 1.8600 (2.1847) Prec@1 57.031 (51.823) Prec@5 78.125 (76.079) Test: [30/391] Time 0.107 (0.153) Loss 3.1106 (2.3681) Prec@1 36.719 (47.908) Prec@5 64.844 (74.219) Test: [40/391] Time 0.170 (0.143) Loss 2.3570 (2.2183) Prec@1 50.000 (51.296) Prec@5 71.094 (75.838) Test: [50/391] Time 0.111 (0.136) Loss 1.1434 (2.2459) Prec@1 73.438 (50.873) Prec@5 88.281 (75.245) Test: [60/391] Time 0.109 (0.131) Loss 2.4737 (2.1524) Prec@1 31.250 (52.369) Prec@5 78.906 (76.780) Test: [70/391] Time 0.113 (0.127) Loss 2.5768 (2.1531) Prec@1 32.031 (50.825) Prec@5 72.656 (77.124) Test: [80/391] Time 0.107 (0.125) Loss 1.8053 (2.1897) Prec@1 54.688 (48.987) Prec@5 80.469 (76.659) Test: [90/391] Time 0.102 (0.124) Loss 2.1428 (2.1622) Prec@1 42.188 (48.944) Prec@5 82.031 (77.309) Test: [100/391] Time 0.104 (0.122) Loss 3.0506 (2.1835) Prec@1 28.906 (48.113) Prec@5 67.188 (77.027) Test: [110/391] Time 0.098 (0.120) Loss 3.1809 (2.2064) Prec@1 25.781 (47.445) Prec@5 71.875 (76.760) Test: [120/391] Time 0.104 (0.119) Loss 2.5641 (2.2075) Prec@1 38.281 (47.372) Prec@5 70.312 (76.866) Test: [130/391] Time 0.103 (0.118) Loss 2.1488 (2.1925) Prec@1 51.562 (47.871) Prec@5 78.125 (77.052) Test: [140/391] Time 0.109 (0.118) Loss 3.5236 (2.2049) Prec@1 21.875 (47.695) Prec@5 57.031 (76.779) Test: [150/391] Time 0.105 (0.117) Loss 3.0636 (2.2060) Prec@1 17.969 (47.656) Prec@5 68.750 (76.713) Test: [160/391] Time 0.109 (0.117) Loss 2.1016 (2.2127) Prec@1 52.344 (47.695) Prec@5 73.438 (76.621) Test: [170/391] Time 0.117 (0.116) Loss 3.3091 (2.2587) Prec@1 23.438 (47.145) Prec@5 60.156 (75.841) Test: [180/391] Time 0.111 (0.116) Loss 3.5376 (2.2955) Prec@1 26.562 (46.642) Prec@5 57.031 (75.224) Test: [190/391] Time 0.104 (0.115) Loss 3.4080 (2.3422) Prec@1 35.156 (45.893) Prec@5 64.062 (74.493) Test: [200/391] Time 0.109 (0.115) Loss 3.4422 (2.3858) Prec@1 31.250 (45.398) Prec@5 57.812 (73.822) Test: [210/391] Time 0.110 (0.115) Loss 2.6091 (2.3994) Prec@1 42.188 (45.209) Prec@5 69.531 (73.545) Test: [220/391] Time 0.104 (0.114) Loss 1.7538 (2.4071) Prec@1 64.062 (45.312) Prec@5 80.469 (73.374) Test: [230/391] Time 0.107 (0.114) Loss 4.0749 (2.4288) Prec@1 19.531 (44.981) Prec@5 43.750 (73.001) Test: [240/391] Time 0.104 (0.114) Loss 2.6358 (2.4412) Prec@1 43.750 (44.911) Prec@5 66.406 (72.760) Test: [250/391] Time 0.104 (0.113) Loss 2.2501 (2.4652) Prec@1 53.125 (44.513) Prec@5 76.562 (72.426) Test: [260/391] Time 0.111 (0.113) Loss 2.8605 (2.4930) Prec@1 36.719 (44.028) Prec@5 65.625 (72.058) Test: [270/391] Time 0.107 (0.113) Loss 3.3588 (2.4988) Prec@1 24.219 (44.027) Prec@5 53.906 (71.858) Test: [280/391] Time 0.105 (0.113) Loss 2.2733 (2.5147) Prec@1 42.969 (43.825) Prec@5 79.688 (71.619) Test: [290/391] Time 0.112 (0.113) Loss 2.8185 (2.5184) Prec@1 33.594 (43.844) Prec@5 67.969 (71.534) Test: [300/391] Time 0.113 (0.113) Loss 2.0856 (2.5294) Prec@1 59.375 (43.792) Prec@5 76.562 (71.252) Test: [310/391] Time 0.107 (0.113) Loss 2.5820 (2.5379) Prec@1 45.312 (43.720) Prec@5 75.000 (71.099) Test: [320/391] Time 0.107 (0.113) Loss 1.6536 (2.5417) Prec@1 60.156 (43.713) Prec@5 84.375 (71.004) Test: [330/391] Time 0.103 (0.113) Loss 2.4247 (2.5640) Prec@1 50.000 (43.339) Prec@5 66.406 (70.676) Test: [340/391] Time 0.101 (0.112) Loss 2.6006 (2.5731) Prec@1 38.281 (43.104) Prec@5 75.000 (70.516) Test: [350/391] Time 0.106 (0.112) Loss 2.1236 (2.5808) Prec@1 60.156 (43.020) Prec@5 78.906 (70.393) Test: [360/391] Time 0.102 (0.112) Loss 1.7512 (2.5834) Prec@1 55.469 (43.068) Prec@5 82.031 (70.354) Test: [370/391] Time 0.113 (0.112) Loss 2.0639 (2.5710) Prec@1 50.000 (43.268) Prec@5 78.906 (70.597) Test: [380/391] Time 0.112 (0.112) Loss 2.0914 (2.5739) Prec@1 51.562 (43.231) Prec@5 82.031 (70.571) Test: [390/391] Time 0.072 (0.112) Loss 3.7726 (2.5606) Prec@1 30.000 (43.600) Prec@5 46.250 (70.750) * Prec@1 43.600 Prec@5 70.750 Epoch: [16][0/10010] Time 2.854 (2.854) Data 2.668 (2.668) Loss 2.7947 (2.7947) Prec@1 42.969 (42.969) Prec@5 67.188 (67.188) Epoch: [16][10/10010] Time 0.319 (0.553) Data 0.001 (0.243) Loss 2.5541 (2.7135) Prec@1 41.406 (41.832) Prec@5 68.750 (67.827) Epoch: [16][20/10010] Time 0.321 (0.442) Data 0.000 (0.128) Loss 2.7865 (2.7550) Prec@1 46.094 (40.960) Prec@5 67.188 (67.225) Epoch: [16][30/10010] Time 0.325 (0.404) Data 0.001 (0.087) Loss 2.4587 (2.7293) Prec@1 46.875 (41.230) Prec@5 73.438 (67.087) Epoch: [16][40/10010] Time 0.325 (0.384) Data 0.000 (0.066) Loss 2.7223 (2.7044) Prec@1 41.406 (41.311) Prec@5 63.281 (67.416) Epoch: [16][50/10010] Time 0.317 (0.374) Data 0.001 (0.053) Loss 2.5795 (2.7164) Prec@1 49.219 (41.131) Prec@5 72.656 (67.080) Epoch: [16][60/10010] Time 0.341 (0.367) Data 0.001 (0.044) Loss 2.5051 (2.7133) Prec@1 42.969 (41.048) Prec@5 70.312 (67.085) Epoch: [16][70/10010] Time 0.324 (0.363) Data 0.000 (0.038) Loss 2.3480 (2.6919) Prec@1 42.188 (41.406) Prec@5 71.875 (67.397) Epoch: [16][80/10010] Time 0.324 (0.359) Data 0.001 (0.034) Loss 2.6095 (2.6874) Prec@1 45.312 (41.638) Prec@5 70.312 (67.641) Epoch: [16][90/10010] Time 0.316 (0.356) Data 0.001 (0.030) Loss 2.5978 (2.6812) Prec@1 43.750 (41.836) Prec@5 76.562 (67.565) Epoch: [16][100/10010] Time 0.328 (0.353) Data 0.001 (0.027) Loss 2.6111 (2.6789) Prec@1 38.281 (41.886) Prec@5 68.750 (67.590) Epoch: [16][110/10010] Time 0.319 (0.351) Data 0.001 (0.025) Loss 2.6785 (2.6773) Prec@1 42.969 (41.899) Prec@5 70.312 (67.575) Epoch: [16][120/10010] Time 0.341 (0.350) Data 0.000 (0.023) Loss 2.4707 (2.6750) Prec@1 50.000 (42.045) Prec@5 73.438 (67.652) Epoch: [16][130/10010] Time 0.336 (0.349) Data 0.001 (0.021) Loss 3.0108 (2.6712) Prec@1 39.844 (42.223) Prec@5 64.062 (67.700) Epoch: [16][140/10010] Time 0.325 (0.347) Data 0.001 (0.020) Loss 2.6335 (2.6659) Prec@1 39.844 (42.265) Prec@5 72.656 (67.836) Epoch: [16][150/10010] Time 0.322 (0.346) Data 0.000 (0.018) Loss 2.6494 (2.6645) Prec@1 41.406 (42.265) Prec@5 69.531 (67.989) Epoch: [16][160/10010] Time 0.329 (0.345) Data 0.001 (0.017) Loss 2.4771 (2.6702) Prec@1 42.969 (42.178) Prec@5 68.750 (67.847) Epoch: [16][170/10010] Time 0.319 (0.344) Data 0.001 (0.016) Loss 3.1678 (2.6725) Prec@1 38.281 (42.188) Prec@5 61.719 (67.768) Epoch: [16][180/10010] Time 0.347 (0.343) Data 0.000 (0.015) Loss 2.5725 (2.6743) Prec@1 47.656 (42.231) Prec@5 71.094 (67.740) Epoch: [16][190/10010] Time 0.328 (0.343) Data 0.001 (0.015) Loss 2.8971 (2.6771) Prec@1 39.062 (42.228) Prec@5 62.500 (67.633) Epoch: [16][200/10010] Time 0.326 (0.342) Data 0.001 (0.014) Loss 2.7705 (2.6759) Prec@1 44.531 (42.254) Prec@5 66.406 (67.689) Epoch: [16][210/10010] Time 0.330 (0.341) Data 0.001 (0.013) Loss 2.3265 (2.6697) Prec@1 46.875 (42.310) Prec@5 75.781 (67.795) Epoch: [16][220/10010] Time 0.330 (0.341) Data 0.001 (0.013) Loss 2.2831 (2.6645) Prec@1 44.531 (42.357) Prec@5 75.781 (67.916) Epoch: [16][230/10010] Time 0.350 (0.340) Data 0.001 (0.012) Loss 2.8087 (2.6667) Prec@1 39.062 (42.309) Prec@5 62.500 (67.861) Epoch: [16][240/10010] Time 0.341 (0.340) Data 0.001 (0.012) Loss 2.3262 (2.6632) Prec@1 54.688 (42.424) Prec@5 76.562 (67.933) Epoch: [16][250/10010] Time 0.331 (0.340) Data 0.000 (0.011) Loss 2.5183 (2.6628) Prec@1 43.750 (42.402) Prec@5 74.219 (67.882) Epoch: [16][260/10010] Time 0.334 (0.339) Data 0.000 (0.011) Loss 1.9858 (2.6577) Prec@1 50.000 (42.526) Prec@5 82.031 (67.987) Epoch: [16][270/10010] Time 0.326 (0.339) Data 0.001 (0.010) Loss 2.8240 (2.6525) Prec@1 36.719 (42.574) Prec@5 67.188 (68.070) Epoch: [16][280/10010] Time 0.329 (0.339) Data 0.000 (0.010) Loss 2.2157 (2.6470) Prec@1 49.219 (42.646) Prec@5 75.781 (68.147) Epoch: [16][290/10010] Time 0.351 (0.338) Data 0.001 (0.010) Loss 2.6074 (2.6517) Prec@1 45.312 (42.606) Prec@5 66.406 (68.098) Epoch: [16][300/10010] Time 0.335 (0.338) Data 0.001 (0.009) Loss 2.7383 (2.6516) Prec@1 35.156 (42.616) Prec@5 65.625 (68.070) Epoch: [16][310/10010] Time 0.339 (0.338) Data 0.000 (0.009) Loss 2.7556 (2.6565) Prec@1 39.062 (42.469) Prec@5 64.844 (67.969) Epoch: [16][320/10010] Time 0.343 (0.338) Data 0.001 (0.009) Loss 3.0670 (2.6580) Prec@1 30.469 (42.482) Prec@5 60.156 (67.903) Epoch: [16][330/10010] Time 0.319 (0.338) Data 0.001 (0.009) Loss 2.6101 (2.6557) Prec@1 40.625 (42.527) Prec@5 68.750 (67.957) Epoch: [16][340/10010] Time 0.324 (0.337) Data 0.001 (0.008) Loss 2.6065 (2.6557) Prec@1 40.625 (42.515) Prec@5 69.531 (67.987) Epoch: [16][350/10010] Time 0.349 (0.337) Data 0.000 (0.008) Loss 2.6021 (2.6537) Prec@1 42.188 (42.588) Prec@5 68.750 (68.015) Epoch: [16][360/10010] Time 0.332 (0.337) Data 0.000 (0.008) Loss 2.5279 (2.6573) Prec@1 43.750 (42.527) Prec@5 67.188 (67.941) Epoch: [16][370/10010] Time 0.343 (0.337) Data 0.001 (0.008) Loss 2.8191 (2.6587) Prec@1 39.844 (42.508) Prec@5 63.281 (67.918) Epoch: [16][380/10010] Time 0.326 (0.337) Data 0.000 (0.008) Loss 2.9392 (2.6580) Prec@1 37.500 (42.522) Prec@5 57.031 (67.887) Epoch: [16][390/10010] Time 0.333 (0.337) Data 0.000 (0.007) Loss 2.7081 (2.6593) Prec@1 41.406 (42.467) Prec@5 64.844 (67.861) Epoch: [16][400/10010] Time 0.343 (0.337) Data 0.000 (0.007) Loss 2.8400 (2.6613) Prec@1 37.500 (42.435) Prec@5 67.188 (67.817) Epoch: [16][410/10010] Time 0.337 (0.337) Data 0.001 (0.007) Loss 2.4858 (2.6605) Prec@1 46.094 (42.450) Prec@5 67.969 (67.862) Epoch: [16][420/10010] Time 0.328 (0.336) Data 0.001 (0.007) Loss 2.6801 (2.6605) Prec@1 40.625 (42.397) Prec@5 69.531 (67.872) Epoch: [16][430/10010] Time 0.320 (0.336) Data 0.001 (0.007) Loss 2.9897 (2.6623) Prec@1 33.594 (42.334) Prec@5 64.844 (67.829) Epoch: [16][440/10010] Time 0.325 (0.336) Data 0.001 (0.007) Loss 2.5819 (2.6646) Prec@1 44.531 (42.274) Prec@5 69.531 (67.786) Epoch: [16][450/10010] Time 0.338 (0.336) Data 0.001 (0.007) Loss 2.8263 (2.6655) Prec@1 44.531 (42.286) Prec@5 63.281 (67.802) Epoch: [16][460/10010] Time 0.340 (0.336) Data 0.001 (0.006) Loss 2.6998 (2.6640) Prec@1 40.625 (42.291) Prec@5 63.281 (67.828) Epoch: [16][470/10010] Time 0.327 (0.336) Data 0.000 (0.006) Loss 2.4392 (2.6642) Prec@1 44.531 (42.284) Prec@5 70.312 (67.841) Epoch: [16][480/10010] Time 0.327 (0.335) Data 0.001 (0.006) Loss 2.8003 (2.6622) Prec@1 40.625 (42.295) Prec@5 67.188 (67.886) Epoch: [16][490/10010] Time 0.316 (0.335) Data 0.001 (0.006) Loss 2.6502 (2.6607) Prec@1 39.844 (42.324) Prec@5 67.188 (67.908) Epoch: [16][500/10010] Time 0.328 (0.335) Data 0.000 (0.006) Loss 2.8384 (2.6628) Prec@1 45.312 (42.258) Prec@5 64.062 (67.872) Epoch: [16][510/10010] Time 0.329 (0.335) Data 0.000 (0.006) Loss 2.7157 (2.6641) Prec@1 42.969 (42.273) Prec@5 67.969 (67.828) Epoch: [16][520/10010] Time 0.320 (0.335) Data 0.001 (0.006) Loss 2.7387 (2.6637) Prec@1 42.969 (42.294) Prec@5 66.406 (67.823) Epoch: [16][530/10010] Time 0.322 (0.335) Data 0.001 (0.006) Loss 2.6532 (2.6633) Prec@1 39.844 (42.305) Prec@5 69.531 (67.823) Epoch: [16][540/10010] Time 0.339 (0.335) Data 0.001 (0.006) Loss 2.7134 (2.6643) Prec@1 41.406 (42.299) Prec@5 66.406 (67.794) Epoch: [16][550/10010] Time 0.334 (0.335) Data 0.000 (0.005) Loss 2.7143 (2.6648) Prec@1 46.875 (42.284) Prec@5 70.312 (67.801) Epoch: [16][560/10010] Time 0.338 (0.335) Data 0.000 (0.005) Loss 2.7028 (2.6652) Prec@1 37.500 (42.261) Prec@5 68.750 (67.809) Epoch: [16][570/10010] Time 0.344 (0.335) Data 0.001 (0.005) Loss 2.3268 (2.6657) Prec@1 49.219 (42.263) Prec@5 76.562 (67.794) Epoch: [16][580/10010] Time 0.316 (0.335) Data 0.001 (0.005) Loss 2.7985 (2.6654) Prec@1 42.969 (42.279) Prec@5 67.188 (67.817) Epoch: [16][590/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 2.8044 (2.6653) Prec@1 42.969 (42.303) Prec@5 66.406 (67.807) Epoch: [16][600/10010] Time 0.344 (0.335) Data 0.001 (0.005) Loss 2.9394 (2.6656) Prec@1 39.062 (42.282) Prec@5 67.969 (67.802) Epoch: [16][610/10010] Time 0.342 (0.335) Data 0.001 (0.005) Loss 2.6412 (2.6638) Prec@1 39.062 (42.304) Prec@5 69.531 (67.822) Epoch: [16][620/10010] Time 0.328 (0.335) Data 0.000 (0.005) Loss 2.5243 (2.6658) Prec@1 46.875 (42.293) Prec@5 67.969 (67.767) Epoch: [16][630/10010] Time 0.345 (0.335) Data 0.001 (0.005) Loss 2.6910 (2.6665) Prec@1 41.406 (42.292) Prec@5 67.188 (67.757) Epoch: [16][640/10010] Time 0.320 (0.334) Data 0.001 (0.005) Loss 2.6758 (2.6666) Prec@1 39.844 (42.279) Prec@5 66.406 (67.758) Epoch: [16][650/10010] Time 0.318 (0.334) Data 0.001 (0.005) Loss 2.6098 (2.6669) Prec@1 42.188 (42.274) Prec@5 65.625 (67.748) Epoch: [16][660/10010] Time 0.338 (0.334) Data 0.001 (0.005) Loss 2.6919 (2.6653) Prec@1 42.969 (42.316) Prec@5 66.406 (67.750) Epoch: [16][670/10010] Time 0.320 (0.334) Data 0.001 (0.005) Loss 2.4109 (2.6652) Prec@1 49.219 (42.328) Prec@5 77.344 (67.756) Epoch: [16][680/10010] Time 0.344 (0.334) Data 0.001 (0.005) Loss 2.6711 (2.6658) Prec@1 43.750 (42.332) Prec@5 70.312 (67.738) Epoch: [16][690/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 2.6068 (2.6645) Prec@1 47.656 (42.373) Prec@5 66.406 (67.749) Epoch: [16][700/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 2.8203 (2.6672) Prec@1 37.500 (42.345) Prec@5 68.750 (67.691) Epoch: [16][710/10010] Time 0.337 (0.334) Data 0.000 (0.004) Loss 2.9661 (2.6671) Prec@1 38.281 (42.350) Prec@5 58.594 (67.704) Epoch: [16][720/10010] Time 0.316 (0.334) Data 0.001 (0.004) Loss 2.3022 (2.6676) Prec@1 48.438 (42.344) Prec@5 77.344 (67.704) Epoch: [16][730/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.5196 (2.6672) Prec@1 49.219 (42.369) Prec@5 70.312 (67.710) Epoch: [16][740/10010] Time 0.318 (0.334) Data 0.000 (0.004) Loss 2.3242 (2.6666) Prec@1 47.656 (42.386) Prec@5 71.094 (67.719) Epoch: [16][750/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 2.6164 (2.6664) Prec@1 44.531 (42.402) Prec@5 65.625 (67.710) Epoch: [16][760/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.5591 (2.6669) Prec@1 44.531 (42.375) Prec@5 73.438 (67.696) Epoch: [16][770/10010] Time 0.336 (0.334) Data 0.000 (0.004) Loss 2.3722 (2.6660) Prec@1 41.406 (42.354) Prec@5 72.656 (67.731) Epoch: [16][780/10010] Time 0.340 (0.334) Data 0.000 (0.004) Loss 2.4064 (2.6649) Prec@1 47.656 (42.351) Prec@5 74.219 (67.762) Epoch: [16][790/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 2.7247 (2.6637) Prec@1 37.500 (42.375) Prec@5 67.969 (67.769) Epoch: [16][800/10010] Time 0.346 (0.334) Data 0.000 (0.004) Loss 2.8825 (2.6650) Prec@1 36.719 (42.340) Prec@5 60.938 (67.738) Epoch: [16][810/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.6956 (2.6641) Prec@1 40.625 (42.336) Prec@5 75.000 (67.768) Epoch: [16][820/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 2.6371 (2.6640) Prec@1 43.750 (42.338) Prec@5 65.625 (67.768) Epoch: [16][830/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 2.5925 (2.6645) Prec@1 43.750 (42.335) Prec@5 67.188 (67.750) Epoch: [16][840/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.6278 (2.6645) Prec@1 46.875 (42.354) Prec@5 71.875 (67.748) Epoch: [16][850/10010] Time 0.316 (0.334) Data 0.001 (0.004) Loss 2.8592 (2.6642) Prec@1 39.844 (42.367) Prec@5 65.625 (67.758) Epoch: [16][860/10010] Time 0.347 (0.334) Data 0.000 (0.004) Loss 2.6878 (2.6654) Prec@1 39.062 (42.331) Prec@5 71.875 (67.738) Epoch: [16][870/10010] Time 0.323 (0.334) Data 0.001 (0.004) Loss 2.7548 (2.6658) Prec@1 37.500 (42.316) Prec@5 68.750 (67.744) Epoch: [16][880/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.4162 (2.6664) Prec@1 36.719 (42.284) Prec@5 75.781 (67.728) Epoch: [16][890/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.9525 (2.6663) Prec@1 42.188 (42.296) Prec@5 63.281 (67.731) Epoch: [16][900/10010] Time 0.318 (0.334) Data 0.001 (0.004) Loss 2.4584 (2.6674) Prec@1 48.438 (42.299) Prec@5 74.219 (67.700) Epoch: [16][910/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 2.6345 (2.6684) Prec@1 39.844 (42.276) Prec@5 68.750 (67.672) Epoch: [16][920/10010] Time 0.347 (0.334) Data 0.000 (0.004) Loss 2.4160 (2.6686) Prec@1 46.094 (42.251) Prec@5 73.438 (67.664) Epoch: [16][930/10010] Time 0.341 (0.334) Data 0.000 (0.003) Loss 2.9254 (2.6689) Prec@1 38.281 (42.252) Prec@5 64.062 (67.662) Epoch: [16][940/10010] Time 0.321 (0.334) Data 0.001 (0.003) Loss 2.9366 (2.6704) Prec@1 38.281 (42.227) Prec@5 57.812 (67.631) Epoch: [16][950/10010] Time 0.332 (0.334) Data 0.000 (0.003) Loss 2.7808 (2.6701) Prec@1 42.188 (42.254) Prec@5 68.750 (67.652) Epoch: [16][960/10010] Time 0.334 (0.334) Data 0.000 (0.003) Loss 2.5963 (2.6703) Prec@1 45.312 (42.254) Prec@5 67.188 (67.635) Epoch: [16][970/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 2.6699 (2.6696) Prec@1 42.188 (42.263) Prec@5 67.188 (67.644) Epoch: [16][980/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 2.6501 (2.6691) Prec@1 44.531 (42.282) Prec@5 67.188 (67.657) Epoch: [16][990/10010] Time 0.319 (0.334) Data 0.001 (0.003) Loss 2.7182 (2.6694) Prec@1 40.625 (42.274) Prec@5 65.625 (67.649) Epoch: [16][1000/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 2.4976 (2.6693) Prec@1 46.094 (42.287) Prec@5 73.438 (67.666) Epoch: [16][1010/10010] Time 0.342 (0.334) Data 0.001 (0.003) Loss 2.8130 (2.6692) Prec@1 47.656 (42.293) Prec@5 64.062 (67.660) Epoch: [16][1020/10010] Time 0.331 (0.334) Data 0.000 (0.003) Loss 2.5428 (2.6688) Prec@1 46.094 (42.298) Prec@5 72.656 (67.667) Epoch: [16][1030/10010] Time 0.328 (0.334) Data 0.000 (0.003) Loss 2.6856 (2.6702) Prec@1 43.750 (42.272) Prec@5 63.281 (67.640) Epoch: [16][1040/10010] Time 0.335 (0.334) Data 0.001 (0.003) Loss 2.3387 (2.6689) Prec@1 43.750 (42.286) Prec@5 73.438 (67.651) Epoch: [16][1050/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 2.5419 (2.6688) Prec@1 43.750 (42.295) Prec@5 73.438 (67.665) Epoch: [16][1060/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.7057 (2.6693) Prec@1 41.406 (42.286) Prec@5 69.531 (67.657) Epoch: [16][1070/10010] Time 0.335 (0.334) Data 0.001 (0.003) Loss 2.4200 (2.6694) Prec@1 41.406 (42.279) Prec@5 67.969 (67.642) Epoch: [16][1080/10010] Time 0.338 (0.334) Data 0.001 (0.003) Loss 2.7162 (2.6697) Prec@1 38.281 (42.287) Prec@5 70.312 (67.641) Epoch: [16][1090/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 2.6793 (2.6696) Prec@1 43.750 (42.290) Prec@5 67.969 (67.644) Epoch: [16][1100/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.3527 (2.6690) Prec@1 46.094 (42.305) Prec@5 70.312 (67.652) Epoch: [16][1110/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.4171 (2.6689) Prec@1 50.781 (42.314) Prec@5 71.875 (67.649) Epoch: [16][1120/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 3.0388 (2.6694) Prec@1 39.844 (42.316) Prec@5 64.844 (67.644) Epoch: [16][1130/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 3.3633 (2.6700) Prec@1 31.250 (42.297) Prec@5 52.344 (67.622) Epoch: [16][1140/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.4446 (2.6698) Prec@1 46.094 (42.298) Prec@5 68.750 (67.626) Epoch: [16][1150/10010] Time 0.349 (0.334) Data 0.000 (0.003) Loss 2.8678 (2.6702) Prec@1 39.062 (42.287) Prec@5 64.062 (67.619) Epoch: [16][1160/10010] Time 0.347 (0.334) Data 0.000 (0.003) Loss 2.7527 (2.6698) Prec@1 42.188 (42.291) Prec@5 67.969 (67.627) Epoch: [16][1170/10010] Time 0.329 (0.334) Data 0.001 (0.003) Loss 2.5508 (2.6703) Prec@1 41.406 (42.289) Prec@5 70.312 (67.636) Epoch: [16][1180/10010] Time 0.339 (0.334) Data 0.000 (0.003) Loss 2.6909 (2.6705) Prec@1 41.406 (42.305) Prec@5 63.281 (67.634) Epoch: [16][1190/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.9365 (2.6708) Prec@1 38.281 (42.297) Prec@5 63.281 (67.624) Epoch: [16][1200/10010] Time 0.334 (0.334) Data 0.001 (0.003) Loss 2.7034 (2.6712) Prec@1 41.406 (42.285) Prec@5 61.719 (67.608) Epoch: [16][1210/10010] Time 0.335 (0.334) Data 0.000 (0.003) Loss 2.8695 (2.6718) Prec@1 32.812 (42.275) Prec@5 62.500 (67.598) Epoch: [16][1220/10010] Time 0.342 (0.334) Data 0.000 (0.003) Loss 2.4756 (2.6727) Prec@1 48.438 (42.274) Prec@5 70.312 (67.582) Epoch: [16][1230/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.6725 (2.6733) Prec@1 39.844 (42.260) Prec@5 67.188 (67.573) Epoch: [16][1240/10010] Time 0.335 (0.334) Data 0.000 (0.003) Loss 2.5419 (2.6736) Prec@1 40.625 (42.255) Prec@5 68.750 (67.576) Epoch: [16][1250/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 2.7200 (2.6730) Prec@1 44.531 (42.277) Prec@5 67.188 (67.590) Epoch: [16][1260/10010] Time 0.330 (0.334) Data 0.001 (0.003) Loss 2.4519 (2.6733) Prec@1 48.438 (42.268) Prec@5 71.094 (67.593) Epoch: [16][1270/10010] Time 0.346 (0.334) Data 0.001 (0.003) Loss 2.6507 (2.6728) Prec@1 41.406 (42.282) Prec@5 64.844 (67.594) Epoch: [16][1280/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 2.4178 (2.6722) Prec@1 46.875 (42.284) Prec@5 70.312 (67.603) Epoch: [16][1290/10010] Time 0.345 (0.334) Data 0.000 (0.003) Loss 2.4903 (2.6731) Prec@1 46.875 (42.275) Prec@5 67.188 (67.583) Epoch: [16][1300/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.6077 (2.6724) Prec@1 45.312 (42.296) Prec@5 66.406 (67.598) Epoch: [16][1310/10010] Time 0.328 (0.334) Data 0.001 (0.003) Loss 2.7825 (2.6733) Prec@1 40.625 (42.284) Prec@5 63.281 (67.592) Epoch: [16][1320/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 2.4193 (2.6727) Prec@1 46.094 (42.290) Prec@5 71.875 (67.607) Epoch: [16][1330/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 2.8061 (2.6730) Prec@1 42.188 (42.293) Prec@5 63.281 (67.594) Epoch: [16][1340/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.5418 (2.6729) Prec@1 44.531 (42.287) Prec@5 67.188 (67.592) Epoch: [16][1350/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.4160 (2.6730) Prec@1 50.781 (42.292) Prec@5 71.094 (67.589) Epoch: [16][1360/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.6657 (2.6726) Prec@1 36.719 (42.304) Prec@5 68.750 (67.589) Epoch: [16][1370/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 2.4289 (2.6730) Prec@1 46.875 (42.297) Prec@5 71.875 (67.579) Epoch: [16][1380/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 2.9858 (2.6729) Prec@1 38.281 (42.297) Prec@5 63.281 (67.577) Epoch: [16][1390/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 3.1582 (2.6729) Prec@1 37.500 (42.305) Prec@5 57.031 (67.575) Epoch: [16][1400/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.5037 (2.6720) Prec@1 43.750 (42.317) Prec@5 68.750 (67.588) Epoch: [16][1410/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.7907 (2.6723) Prec@1 40.625 (42.309) Prec@5 62.500 (67.588) Epoch: [16][1420/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 2.7118 (2.6723) Prec@1 47.656 (42.310) Prec@5 64.062 (67.592) Epoch: [16][1430/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.7614 (2.6720) Prec@1 39.844 (42.322) Prec@5 67.188 (67.600) Epoch: [16][1440/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.4410 (2.6717) Prec@1 46.094 (42.343) Prec@5 74.219 (67.602) Epoch: [16][1450/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.7230 (2.6716) Prec@1 42.188 (42.340) Prec@5 66.406 (67.603) Epoch: [16][1460/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.6440 (2.6712) Prec@1 39.844 (42.343) Prec@5 65.625 (67.602) Epoch: [16][1470/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.4303 (2.6713) Prec@1 41.406 (42.344) Prec@5 74.219 (67.603) Epoch: [16][1480/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.7887 (2.6721) Prec@1 40.625 (42.326) Prec@5 63.281 (67.580) Epoch: [16][1490/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.8962 (2.6724) Prec@1 36.719 (42.316) Prec@5 67.188 (67.575) Epoch: [16][1500/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.7987 (2.6727) Prec@1 42.188 (42.306) Prec@5 64.844 (67.565) Epoch: [16][1510/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.2882 (2.6732) Prec@1 49.219 (42.295) Prec@5 75.000 (67.560) Epoch: [16][1520/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 2.8557 (2.6738) Prec@1 42.969 (42.286) Prec@5 62.500 (67.545) Epoch: [16][1530/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.7134 (2.6746) Prec@1 40.625 (42.270) Prec@5 70.312 (67.539) Epoch: [16][1540/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.8129 (2.6744) Prec@1 42.969 (42.261) Prec@5 64.844 (67.537) Epoch: [16][1550/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.8838 (2.6743) Prec@1 38.281 (42.257) Prec@5 65.625 (67.545) Epoch: [16][1560/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.6319 (2.6744) Prec@1 43.750 (42.250) Prec@5 71.875 (67.544) Epoch: [16][1570/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.7836 (2.6752) Prec@1 42.188 (42.238) Prec@5 64.844 (67.528) Epoch: [16][1580/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.2115 (2.6748) Prec@1 43.750 (42.233) Prec@5 76.562 (67.534) Epoch: [16][1590/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 2.7473 (2.6746) Prec@1 45.312 (42.227) Prec@5 65.625 (67.535) Epoch: [16][1600/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 3.0193 (2.6748) Prec@1 42.188 (42.225) Prec@5 67.969 (67.538) Epoch: [16][1610/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.5730 (2.6747) Prec@1 46.875 (42.236) Prec@5 71.875 (67.543) Epoch: [16][1620/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.7482 (2.6744) Prec@1 42.969 (42.237) Prec@5 67.188 (67.551) Epoch: [16][1630/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.1874 (2.6748) Prec@1 52.344 (42.233) Prec@5 75.781 (67.539) Epoch: [16][1640/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 3.1137 (2.6753) Prec@1 33.594 (42.214) Prec@5 57.031 (67.535) Epoch: [16][1650/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.5701 (2.6750) Prec@1 47.656 (42.221) Prec@5 67.188 (67.536) Epoch: [16][1660/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.7767 (2.6756) Prec@1 36.719 (42.221) Prec@5 62.500 (67.524) Epoch: [16][1670/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.8997 (2.6754) Prec@1 36.719 (42.228) Prec@5 66.406 (67.526) Epoch: [16][1680/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.5763 (2.6749) Prec@1 48.438 (42.238) Prec@5 71.875 (67.529) Epoch: [16][1690/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.7376 (2.6748) Prec@1 42.188 (42.241) Prec@5 70.312 (67.539) Epoch: [16][1700/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 3.0526 (2.6742) Prec@1 34.375 (42.237) Prec@5 58.594 (67.543) Epoch: [16][1710/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.4561 (2.6742) Prec@1 43.750 (42.240) Prec@5 71.094 (67.544) Epoch: [16][1720/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.5741 (2.6740) Prec@1 46.875 (42.246) Prec@5 67.188 (67.545) Epoch: [16][1730/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.5288 (2.6737) Prec@1 50.000 (42.247) Prec@5 71.094 (67.549) Epoch: [16][1740/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.6311 (2.6738) Prec@1 49.219 (42.247) Prec@5 67.969 (67.545) Epoch: [16][1750/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.7574 (2.6741) Prec@1 42.188 (42.237) Prec@5 66.406 (67.534) Epoch: [16][1760/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 2.7284 (2.6738) Prec@1 44.531 (42.239) Prec@5 67.969 (67.538) Epoch: [16][1770/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.5403 (2.6741) Prec@1 40.625 (42.235) Prec@5 71.094 (67.537) Epoch: [16][1780/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.9015 (2.6743) Prec@1 38.281 (42.233) Prec@5 63.281 (67.534) Epoch: [16][1790/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.8210 (2.6744) Prec@1 42.969 (42.237) Prec@5 67.969 (67.533) Epoch: [16][1800/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.4566 (2.6745) Prec@1 50.781 (42.240) Prec@5 69.531 (67.534) Epoch: [16][1810/10010] Time 0.351 (0.333) Data 0.000 (0.002) Loss 2.3216 (2.6741) Prec@1 49.219 (42.250) Prec@5 70.312 (67.540) Epoch: [16][1820/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.9201 (2.6739) Prec@1 42.969 (42.257) Prec@5 64.062 (67.542) Epoch: [16][1830/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.6886 (2.6741) Prec@1 40.625 (42.248) Prec@5 70.312 (67.543) Epoch: [16][1840/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7755 (2.6735) Prec@1 37.500 (42.252) Prec@5 62.500 (67.548) Epoch: [16][1850/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.5529 (2.6737) Prec@1 43.750 (42.247) Prec@5 74.219 (67.545) Epoch: [16][1860/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8174 (2.6738) Prec@1 41.406 (42.251) Prec@5 70.312 (67.545) Epoch: [16][1870/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.8699 (2.6740) Prec@1 35.156 (42.239) Prec@5 61.719 (67.539) Epoch: [16][1880/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.8256 (2.6741) Prec@1 37.500 (42.244) Prec@5 64.844 (67.544) Epoch: [16][1890/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.5625 (2.6741) Prec@1 40.625 (42.231) Prec@5 66.406 (67.545) Epoch: [16][1900/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.9631 (2.6744) Prec@1 39.844 (42.229) Prec@5 62.500 (67.544) Epoch: [16][1910/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.3896 (2.6743) Prec@1 48.438 (42.223) Prec@5 71.875 (67.548) Epoch: [16][1920/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.7734 (2.6750) Prec@1 44.531 (42.223) Prec@5 66.406 (67.540) Epoch: [16][1930/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.3378 (2.6753) Prec@1 46.875 (42.219) Prec@5 69.531 (67.536) Epoch: [16][1940/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.9627 (2.6756) Prec@1 40.625 (42.211) Prec@5 59.375 (67.533) Epoch: [16][1950/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.8353 (2.6755) Prec@1 39.844 (42.213) Prec@5 60.156 (67.534) Epoch: [16][1960/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 3.1577 (2.6756) Prec@1 33.594 (42.205) Prec@5 59.375 (67.531) Epoch: [16][1970/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.6671 (2.6755) Prec@1 45.312 (42.202) Prec@5 70.312 (67.539) Epoch: [16][1980/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.5777 (2.6754) Prec@1 39.844 (42.202) Prec@5 65.625 (67.542) Epoch: [16][1990/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.6128 (2.6757) Prec@1 43.750 (42.193) Prec@5 66.406 (67.541) Epoch: [16][2000/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 2.7611 (2.6763) Prec@1 33.594 (42.175) Prec@5 69.531 (67.533) Epoch: [16][2010/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.4607 (2.6764) Prec@1 40.625 (42.170) Prec@5 68.750 (67.529) Epoch: [16][2020/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.4913 (2.6764) Prec@1 45.312 (42.174) Prec@5 72.656 (67.536) Epoch: [16][2030/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.5233 (2.6763) Prec@1 43.750 (42.177) Prec@5 68.750 (67.542) Epoch: [16][2040/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.6497 (2.6761) Prec@1 42.188 (42.179) Prec@5 67.969 (67.544) Epoch: [16][2050/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.7087 (2.6763) Prec@1 40.625 (42.178) Prec@5 65.625 (67.538) Epoch: [16][2060/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.8132 (2.6769) Prec@1 39.062 (42.166) Prec@5 65.625 (67.532) Epoch: [16][2070/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.5608 (2.6765) Prec@1 46.875 (42.173) Prec@5 69.531 (67.541) Epoch: [16][2080/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.7603 (2.6768) Prec@1 39.844 (42.172) Prec@5 69.531 (67.540) Epoch: [16][2090/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.8431 (2.6771) Prec@1 42.969 (42.177) Prec@5 61.719 (67.531) Epoch: [16][2100/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.8436 (2.6771) Prec@1 43.750 (42.179) Prec@5 64.062 (67.529) Epoch: [16][2110/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.4057 (2.6770) Prec@1 44.531 (42.177) Prec@5 69.531 (67.532) Epoch: [16][2120/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 2.5346 (2.6767) Prec@1 45.312 (42.188) Prec@5 71.094 (67.535) Epoch: [16][2130/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.4850 (2.6767) Prec@1 50.000 (42.189) Prec@5 67.969 (67.529) Epoch: [16][2140/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.4216 (2.6771) Prec@1 45.312 (42.184) Prec@5 72.656 (67.520) Epoch: [16][2150/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.7159 (2.6766) Prec@1 40.625 (42.199) Prec@5 68.750 (67.525) Epoch: [16][2160/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.5235 (2.6767) Prec@1 50.000 (42.200) Prec@5 70.312 (67.524) Epoch: [16][2170/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.7007 (2.6766) Prec@1 38.281 (42.200) Prec@5 67.188 (67.526) Epoch: [16][2180/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.4916 (2.6763) Prec@1 44.531 (42.200) Prec@5 67.969 (67.530) Epoch: [16][2190/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.6513 (2.6766) Prec@1 39.062 (42.195) Prec@5 67.188 (67.519) Epoch: [16][2200/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.7954 (2.6766) Prec@1 42.188 (42.198) Prec@5 67.188 (67.522) Epoch: [16][2210/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.7558 (2.6767) Prec@1 36.719 (42.197) Prec@5 62.500 (67.514) Epoch: [16][2220/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 2.9553 (2.6767) Prec@1 40.625 (42.190) Prec@5 62.500 (67.511) Epoch: [16][2230/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.8900 (2.6761) Prec@1 37.500 (42.193) Prec@5 66.406 (67.521) Epoch: [16][2240/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.1982 (2.6758) Prec@1 53.906 (42.196) Prec@5 76.562 (67.521) Epoch: [16][2250/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.5804 (2.6757) Prec@1 46.094 (42.190) Prec@5 66.406 (67.522) Epoch: [16][2260/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.9581 (2.6757) Prec@1 42.969 (42.192) Prec@5 60.156 (67.516) Epoch: [16][2270/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5914 (2.6757) Prec@1 41.406 (42.189) Prec@5 64.844 (67.514) Epoch: [16][2280/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.2075 (2.6753) Prec@1 51.562 (42.194) Prec@5 76.562 (67.521) Epoch: [16][2290/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.5170 (2.6748) Prec@1 39.844 (42.206) Prec@5 70.312 (67.533) Epoch: [16][2300/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.4084 (2.6746) Prec@1 46.094 (42.207) Prec@5 72.656 (67.539) Epoch: [16][2310/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 2.5220 (2.6745) Prec@1 47.656 (42.210) Prec@5 72.656 (67.538) Epoch: [16][2320/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.6671 (2.6745) Prec@1 42.188 (42.212) Prec@5 67.969 (67.531) Epoch: [16][2330/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.7756 (2.6740) Prec@1 37.500 (42.217) Prec@5 64.062 (67.543) Epoch: [16][2340/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.8148 (2.6742) Prec@1 43.750 (42.211) Prec@5 64.062 (67.537) Epoch: [16][2350/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.7210 (2.6745) Prec@1 46.094 (42.204) Prec@5 64.844 (67.527) Epoch: [16][2360/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.4471 (2.6748) Prec@1 44.531 (42.213) Prec@5 70.312 (67.521) Epoch: [16][2370/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.8707 (2.6746) Prec@1 36.719 (42.216) Prec@5 64.062 (67.523) Epoch: [16][2380/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.1440 (2.6737) Prec@1 46.094 (42.227) Prec@5 78.125 (67.536) Epoch: [16][2390/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.2748 (2.6733) Prec@1 46.094 (42.232) Prec@5 75.000 (67.546) Epoch: [16][2400/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.4040 (2.6734) Prec@1 46.094 (42.229) Prec@5 75.781 (67.545) Epoch: [16][2410/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.9108 (2.6730) Prec@1 42.188 (42.242) Prec@5 61.719 (67.549) Epoch: [16][2420/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.8807 (2.6733) Prec@1 39.062 (42.237) Prec@5 67.188 (67.544) Epoch: [16][2430/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.0021 (2.6735) Prec@1 36.719 (42.231) Prec@5 60.156 (67.539) Epoch: [16][2440/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.8380 (2.6736) Prec@1 39.844 (42.228) Prec@5 59.375 (67.531) Epoch: [16][2450/10010] Time 0.351 (0.332) Data 0.000 (0.002) Loss 2.6045 (2.6738) Prec@1 42.188 (42.224) Prec@5 67.188 (67.529) Epoch: [16][2460/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.7170 (2.6737) Prec@1 45.312 (42.228) Prec@5 68.750 (67.528) Epoch: [16][2470/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.2708 (2.6737) Prec@1 39.062 (42.215) Prec@5 74.219 (67.532) Epoch: [16][2480/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.4884 (2.6734) Prec@1 42.969 (42.216) Prec@5 66.406 (67.534) Epoch: [16][2490/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 2.7850 (2.6733) Prec@1 36.719 (42.216) Prec@5 61.719 (67.538) Epoch: [16][2500/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.4625 (2.6735) Prec@1 49.219 (42.213) Prec@5 70.312 (67.535) Epoch: [16][2510/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.3019 (2.6732) Prec@1 46.875 (42.213) Prec@5 71.875 (67.544) Epoch: [16][2520/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.4413 (2.6732) Prec@1 42.188 (42.215) Prec@5 69.531 (67.539) Epoch: [16][2530/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7971 (2.6734) Prec@1 40.625 (42.219) Prec@5 64.062 (67.531) Epoch: [16][2540/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.9506 (2.6739) Prec@1 34.375 (42.209) Prec@5 60.156 (67.520) Epoch: [16][2550/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.9121 (2.6739) Prec@1 37.500 (42.211) Prec@5 67.969 (67.521) Epoch: [16][2560/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.7446 (2.6742) Prec@1 40.625 (42.206) Prec@5 64.062 (67.513) Epoch: [16][2570/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.7349 (2.6744) Prec@1 36.719 (42.200) Prec@5 64.844 (67.514) Epoch: [16][2580/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.5276 (2.6745) Prec@1 45.312 (42.197) Prec@5 71.875 (67.514) Epoch: [16][2590/10010] Time 0.354 (0.332) Data 0.000 (0.002) Loss 2.9579 (2.6751) Prec@1 40.625 (42.191) Prec@5 60.156 (67.507) Epoch: [16][2600/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5610 (2.6748) Prec@1 37.500 (42.194) Prec@5 71.875 (67.511) Epoch: [16][2610/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.4034 (2.6748) Prec@1 46.094 (42.199) Prec@5 71.094 (67.513) Epoch: [16][2620/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8162 (2.6750) Prec@1 38.281 (42.192) Prec@5 65.625 (67.512) Epoch: [16][2630/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.9260 (2.6748) Prec@1 35.938 (42.200) Prec@5 59.375 (67.515) Epoch: [16][2640/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.8814 (2.6749) Prec@1 42.188 (42.203) Prec@5 62.500 (67.516) Epoch: [16][2650/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.4311 (2.6749) Prec@1 47.656 (42.203) Prec@5 71.094 (67.514) Epoch: [16][2660/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.3633 (2.6751) Prec@1 48.438 (42.195) Prec@5 75.000 (67.513) Epoch: [16][2670/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.8320 (2.6755) Prec@1 41.406 (42.194) Prec@5 67.188 (67.509) Epoch: [16][2680/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.4344 (2.6752) Prec@1 49.219 (42.204) Prec@5 71.094 (67.516) Epoch: [16][2690/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.3716 (2.6749) Prec@1 41.406 (42.211) Prec@5 77.344 (67.523) Epoch: [16][2700/10010] Time 0.349 (0.332) Data 0.001 (0.002) Loss 2.7310 (2.6747) Prec@1 39.062 (42.212) Prec@5 71.875 (67.522) Epoch: [16][2710/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5881 (2.6750) Prec@1 45.312 (42.213) Prec@5 67.969 (67.518) Epoch: [16][2720/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.6236 (2.6755) Prec@1 45.312 (42.203) Prec@5 67.188 (67.510) Epoch: [16][2730/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.3410 (2.6752) Prec@1 46.094 (42.208) Prec@5 74.219 (67.512) Epoch: [16][2740/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.7379 (2.6754) Prec@1 42.188 (42.201) Prec@5 67.188 (67.508) Epoch: [16][2750/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.9782 (2.6755) Prec@1 38.281 (42.205) Prec@5 65.625 (67.508) Epoch: [16][2760/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.4855 (2.6753) Prec@1 39.844 (42.207) Prec@5 67.969 (67.512) Epoch: [16][2770/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 2.2232 (2.6748) Prec@1 51.562 (42.215) Prec@5 75.000 (67.523) Epoch: [16][2780/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.8168 (2.6747) Prec@1 39.844 (42.216) Prec@5 69.531 (67.527) /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: [16][2790/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.7008 (2.6743) Prec@1 39.844 (42.219) Prec@5 71.875 (67.536) Epoch: [16][2800/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.5674 (2.6740) Prec@1 46.094 (42.225) Prec@5 64.062 (67.541) Epoch: [16][2810/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 2.7672 (2.6742) Prec@1 36.719 (42.218) Prec@5 64.062 (67.534) Epoch: [16][2820/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.6263 (2.6744) Prec@1 47.656 (42.220) Prec@5 64.062 (67.527) Epoch: [16][2830/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6742 (2.6746) Prec@1 44.531 (42.216) Prec@5 68.750 (67.525) Epoch: [16][2840/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.7951 (2.6746) Prec@1 39.844 (42.216) Prec@5 67.969 (67.531) Epoch: [16][2850/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.7704 (2.6741) Prec@1 39.062 (42.221) Prec@5 66.406 (67.539) Epoch: [16][2860/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.7138 (2.6741) Prec@1 38.281 (42.214) Prec@5 67.969 (67.540) Epoch: [16][2870/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.1967 (2.6737) Prec@1 54.688 (42.222) Prec@5 74.219 (67.549) Epoch: [16][2880/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.7867 (2.6739) Prec@1 45.312 (42.224) Prec@5 64.844 (67.546) Epoch: [16][2890/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.6383 (2.6739) Prec@1 39.844 (42.216) Prec@5 68.750 (67.544) Epoch: [16][2900/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8217 (2.6740) Prec@1 39.062 (42.219) Prec@5 67.188 (67.545) Epoch: [16][2910/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.7548 (2.6742) Prec@1 38.281 (42.214) Prec@5 62.500 (67.541) Epoch: [16][2920/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.7983 (2.6740) Prec@1 39.844 (42.219) Prec@5 69.531 (67.544) Epoch: [16][2930/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.5434 (2.6738) Prec@1 38.281 (42.218) Prec@5 71.875 (67.544) Epoch: [16][2940/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.6599 (2.6736) Prec@1 40.625 (42.224) Prec@5 67.969 (67.548) Epoch: [16][2950/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.5694 (2.6738) Prec@1 46.875 (42.225) Prec@5 68.750 (67.545) Epoch: [16][2960/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.9386 (2.6740) Prec@1 39.844 (42.224) Prec@5 61.719 (67.537) Epoch: [16][2970/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6968 (2.6743) Prec@1 42.188 (42.217) Prec@5 67.188 (67.533) Epoch: [16][2980/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.7264 (2.6746) Prec@1 41.406 (42.213) Prec@5 67.188 (67.532) Epoch: [16][2990/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.4477 (2.6747) Prec@1 47.656 (42.220) Prec@5 70.312 (67.532) Epoch: [16][3000/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 3.0727 (2.6747) Prec@1 38.281 (42.218) Prec@5 57.812 (67.530) Epoch: [16][3010/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.7349 (2.6750) Prec@1 46.094 (42.217) Prec@5 65.625 (67.526) Epoch: [16][3020/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.6529 (2.6749) Prec@1 42.188 (42.217) Prec@5 63.281 (67.524) Epoch: [16][3030/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 2.7792 (2.6752) Prec@1 41.406 (42.217) Prec@5 64.844 (67.523) Epoch: [16][3040/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.9160 (2.6754) Prec@1 44.531 (42.216) Prec@5 62.500 (67.519) Epoch: [16][3050/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.9961 (2.6755) Prec@1 38.281 (42.218) Prec@5 60.156 (67.520) Epoch: [16][3060/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7467 (2.6758) Prec@1 42.188 (42.211) Prec@5 64.844 (67.514) Epoch: [16][3070/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6070 (2.6760) Prec@1 45.312 (42.207) Prec@5 67.969 (67.513) Epoch: [16][3080/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5558 (2.6759) Prec@1 45.312 (42.212) Prec@5 70.312 (67.516) /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: [16][3090/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4035 (2.6756) Prec@1 46.094 (42.218) Prec@5 71.094 (67.517) Epoch: [16][3100/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8481 (2.6755) Prec@1 39.062 (42.222) Prec@5 63.281 (67.520) Epoch: [16][3110/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8671 (2.6756) Prec@1 39.062 (42.222) Prec@5 67.188 (67.519) Epoch: [16][3120/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5801 (2.6755) Prec@1 44.531 (42.221) Prec@5 67.188 (67.512) Epoch: [16][3130/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.3442 (2.6753) Prec@1 47.656 (42.229) Prec@5 73.438 (67.516) Epoch: [16][3140/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5444 (2.6753) Prec@1 46.094 (42.230) Prec@5 71.094 (67.514) Epoch: [16][3150/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 3.0146 (2.6753) Prec@1 30.469 (42.229) Prec@5 65.625 (67.520) Epoch: [16][3160/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5302 (2.6754) Prec@1 46.875 (42.229) Prec@5 71.875 (67.521) Epoch: [16][3170/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6133 (2.6756) Prec@1 43.750 (42.224) Prec@5 68.750 (67.517) Epoch: [16][3180/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5569 (2.6754) Prec@1 47.656 (42.227) Prec@5 69.531 (67.522) Epoch: [16][3190/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4603 (2.6754) Prec@1 46.094 (42.226) Prec@5 70.312 (67.520) Epoch: [16][3200/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7324 (2.6758) Prec@1 40.625 (42.223) Prec@5 64.062 (67.514) Epoch: [16][3210/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.8655 (2.6759) Prec@1 35.938 (42.221) Prec@5 64.844 (67.509) Epoch: [16][3220/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6644 (2.6762) Prec@1 43.750 (42.219) Prec@5 70.312 (67.505) Epoch: [16][3230/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9973 (2.6764) Prec@1 42.188 (42.216) Prec@5 61.719 (67.495) Epoch: [16][3240/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7790 (2.6764) Prec@1 36.719 (42.218) Prec@5 68.750 (67.496) Epoch: [16][3250/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.5739 (2.6764) Prec@1 40.625 (42.217) Prec@5 70.312 (67.497) Epoch: [16][3260/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8362 (2.6767) Prec@1 39.062 (42.218) Prec@5 66.406 (67.493) Epoch: [16][3270/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9849 (2.6771) Prec@1 35.156 (42.208) Prec@5 64.062 (67.490) /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: [16][3280/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8506 (2.6771) Prec@1 40.625 (42.209) Prec@5 68.750 (67.489) Epoch: [16][3290/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6250 (2.6770) Prec@1 39.062 (42.209) Prec@5 72.656 (67.495) Epoch: [16][3300/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5432 (2.6770) Prec@1 42.188 (42.203) Prec@5 64.844 (67.491) Epoch: [16][3310/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7447 (2.6770) Prec@1 42.969 (42.200) Prec@5 64.062 (67.490) Epoch: [16][3320/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6187 (2.6772) Prec@1 43.750 (42.198) Prec@5 66.406 (67.480) Epoch: [16][3330/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4295 (2.6776) Prec@1 51.562 (42.194) Prec@5 71.094 (67.474) Epoch: [16][3340/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8179 (2.6779) Prec@1 45.312 (42.189) Prec@5 62.500 (67.470) Epoch: [16][3350/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9597 (2.6779) Prec@1 32.031 (42.186) Prec@5 60.938 (67.469) Epoch: [16][3360/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.6206 (2.6776) Prec@1 37.500 (42.191) Prec@5 69.531 (67.474) Epoch: [16][3370/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5143 (2.6774) Prec@1 42.969 (42.190) Prec@5 74.219 (67.474) Epoch: [16][3380/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.1792 (2.6769) Prec@1 51.562 (42.194) Prec@5 77.344 (67.485) Epoch: [16][3390/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8835 (2.6768) Prec@1 39.844 (42.193) Prec@5 64.844 (67.487) Epoch: [16][3400/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8759 (2.6769) Prec@1 41.406 (42.196) Prec@5 62.500 (67.490) Epoch: [16][3410/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6286 (2.6773) Prec@1 45.312 (42.196) Prec@5 67.969 (67.480) Epoch: [16][3420/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5678 (2.6773) Prec@1 42.969 (42.196) Prec@5 71.094 (67.480) Epoch: [16][3430/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.9528 (2.6775) Prec@1 35.938 (42.190) Prec@5 63.281 (67.474) Epoch: [16][3440/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5795 (2.6773) Prec@1 46.875 (42.200) Prec@5 72.656 (67.482) Epoch: [16][3450/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7554 (2.6774) Prec@1 45.312 (42.196) Prec@5 74.219 (67.485) Epoch: [16][3460/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7522 (2.6773) Prec@1 42.969 (42.195) Prec@5 64.844 (67.485) Epoch: [16][3470/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4274 (2.6772) Prec@1 40.625 (42.196) Prec@5 71.094 (67.484) Epoch: [16][3480/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5728 (2.6770) Prec@1 44.531 (42.201) Prec@5 67.188 (67.486) Epoch: [16][3490/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4132 (2.6768) Prec@1 41.406 (42.205) Prec@5 75.000 (67.490) Epoch: [16][3500/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8188 (2.6773) Prec@1 43.750 (42.206) Prec@5 66.406 (67.485) Epoch: [16][3510/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7456 (2.6772) Prec@1 36.719 (42.212) Prec@5 67.188 (67.484) Epoch: [16][3520/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.0033 (2.6775) Prec@1 31.250 (42.203) Prec@5 60.938 (67.478) Epoch: [16][3530/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.1345 (2.6774) Prec@1 36.719 (42.204) Prec@5 60.938 (67.478) Epoch: [16][3540/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.1100 (2.6772) Prec@1 37.500 (42.210) Prec@5 60.156 (67.481) Epoch: [16][3550/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7027 (2.6774) Prec@1 37.500 (42.208) Prec@5 67.969 (67.477) Epoch: [16][3560/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9470 (2.6778) Prec@1 37.500 (42.201) Prec@5 64.062 (67.474) Epoch: [16][3570/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6016 (2.6781) Prec@1 37.500 (42.199) Prec@5 68.750 (67.469) Epoch: [16][3580/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 3.0444 (2.6781) Prec@1 37.500 (42.198) Prec@5 58.594 (67.468) Epoch: [16][3590/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.3234 (2.6782) Prec@1 46.875 (42.194) Prec@5 71.875 (67.464) Epoch: [16][3600/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.3392 (2.6785) Prec@1 44.531 (42.194) Prec@5 79.688 (67.464) Epoch: [16][3610/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8831 (2.6786) Prec@1 38.281 (42.187) Prec@5 63.281 (67.465) Epoch: [16][3620/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4313 (2.6786) Prec@1 44.531 (42.185) Prec@5 75.000 (67.466) Epoch: [16][3630/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9258 (2.6788) Prec@1 43.750 (42.183) Prec@5 64.844 (67.464) Epoch: [16][3640/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7552 (2.6788) Prec@1 39.844 (42.184) Prec@5 67.969 (67.463) Epoch: [16][3650/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5100 (2.6786) Prec@1 47.656 (42.187) Prec@5 72.656 (67.467) Epoch: [16][3660/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5963 (2.6790) Prec@1 42.188 (42.178) Prec@5 67.969 (67.458) Epoch: [16][3670/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 3.1825 (2.6793) Prec@1 34.375 (42.175) Prec@5 57.812 (67.454) Epoch: [16][3680/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4068 (2.6793) Prec@1 42.188 (42.173) Prec@5 73.438 (67.451) Epoch: [16][3690/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.0014 (2.6795) Prec@1 35.938 (42.168) Prec@5 63.281 (67.448) Epoch: [16][3700/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.4474 (2.6796) Prec@1 49.219 (42.165) Prec@5 72.656 (67.444) Epoch: [16][3710/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9048 (2.6798) Prec@1 35.938 (42.160) Prec@5 66.406 (67.442) Epoch: [16][3720/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7065 (2.6800) Prec@1 39.844 (42.159) Prec@5 64.844 (67.439) Epoch: [16][3730/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8689 (2.6801) Prec@1 31.250 (42.154) Prec@5 64.844 (67.438) Epoch: [16][3740/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6964 (2.6797) Prec@1 38.281 (42.158) Prec@5 65.625 (67.443) Epoch: [16][3750/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6928 (2.6797) Prec@1 37.500 (42.154) Prec@5 62.500 (67.443) Epoch: [16][3760/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.5756 (2.6797) Prec@1 43.750 (42.153) Prec@5 71.094 (67.443) Epoch: [16][3770/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8475 (2.6799) Prec@1 33.594 (42.151) Prec@5 64.844 (67.439) Epoch: [16][3780/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.2064 (2.6795) Prec@1 52.344 (42.158) Prec@5 76.562 (67.444) Epoch: [16][3790/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6274 (2.6791) Prec@1 46.094 (42.167) Prec@5 65.625 (67.449) Epoch: [16][3800/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.0232 (2.6792) Prec@1 36.719 (42.164) Prec@5 57.812 (67.449) Epoch: [16][3810/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.5053 (2.6792) Prec@1 46.094 (42.165) Prec@5 68.750 (67.446) Epoch: [16][3820/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7883 (2.6796) Prec@1 37.500 (42.161) Prec@5 66.406 (67.442) Epoch: [16][3830/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7036 (2.6798) Prec@1 39.844 (42.156) Prec@5 67.969 (67.438) Epoch: [16][3840/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5320 (2.6797) Prec@1 46.094 (42.155) Prec@5 68.750 (67.440) Epoch: [16][3850/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8134 (2.6798) Prec@1 39.062 (42.150) Prec@5 66.406 (67.438) Epoch: [16][3860/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6231 (2.6797) Prec@1 44.531 (42.155) Prec@5 69.531 (67.438) Epoch: [16][3870/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0312 (2.6796) Prec@1 39.062 (42.156) Prec@5 60.938 (67.439) Epoch: [16][3880/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.3579 (2.6795) Prec@1 43.750 (42.159) Prec@5 75.781 (67.444) Epoch: [16][3890/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5915 (2.6796) Prec@1 45.312 (42.155) Prec@5 70.312 (67.442) Epoch: [16][3900/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5541 (2.6797) Prec@1 46.094 (42.157) Prec@5 71.875 (67.442) Epoch: [16][3910/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.2829 (2.6797) Prec@1 54.688 (42.161) Prec@5 73.438 (67.443) Epoch: [16][3920/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.6022 (2.6797) Prec@1 44.531 (42.161) Prec@5 68.750 (67.438) Epoch: [16][3930/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4946 (2.6799) Prec@1 49.219 (42.160) Prec@5 71.875 (67.436) Epoch: [16][3940/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7046 (2.6797) Prec@1 39.062 (42.163) Prec@5 65.625 (67.437) Epoch: [16][3950/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7243 (2.6797) Prec@1 39.844 (42.163) Prec@5 65.625 (67.437) Epoch: [16][3960/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7271 (2.6797) Prec@1 41.406 (42.159) Prec@5 65.625 (67.438) Epoch: [16][3970/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4740 (2.6797) Prec@1 42.188 (42.163) Prec@5 68.750 (67.435) Epoch: [16][3980/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.2926 (2.6792) Prec@1 45.312 (42.168) Prec@5 75.000 (67.444) Epoch: [16][3990/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8110 (2.6790) Prec@1 38.281 (42.166) Prec@5 66.406 (67.449) Epoch: [16][4000/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9557 (2.6791) Prec@1 39.062 (42.169) Prec@5 64.062 (67.450) Epoch: [16][4010/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.4071 (2.6788) Prec@1 53.125 (42.175) Prec@5 75.000 (67.457) Epoch: [16][4020/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7178 (2.6788) Prec@1 40.625 (42.173) Prec@5 65.625 (67.457) Epoch: [16][4030/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6568 (2.6789) Prec@1 47.656 (42.170) Prec@5 72.656 (67.456) Epoch: [16][4040/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 3.0480 (2.6792) Prec@1 39.062 (42.165) Prec@5 63.281 (67.453) Epoch: [16][4050/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6697 (2.6795) Prec@1 42.188 (42.161) Prec@5 65.625 (67.446) Epoch: [16][4060/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7378 (2.6795) Prec@1 42.969 (42.161) Prec@5 67.188 (67.446) Epoch: [16][4070/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8659 (2.6795) Prec@1 39.062 (42.162) Prec@5 65.625 (67.446) Epoch: [16][4080/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6892 (2.6793) Prec@1 40.625 (42.166) Prec@5 71.094 (67.451) Epoch: [16][4090/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8386 (2.6794) Prec@1 39.844 (42.164) Prec@5 65.625 (67.450) Epoch: [16][4100/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.3757 (2.6793) Prec@1 44.531 (42.162) Prec@5 75.781 (67.449) Epoch: [16][4110/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.3873 (2.6789) Prec@1 47.656 (42.168) Prec@5 72.656 (67.456) Epoch: [16][4120/10010] Time 0.312 (0.332) Data 0.000 (0.001) Loss 2.6646 (2.6788) Prec@1 46.094 (42.172) Prec@5 69.531 (67.460) Epoch: [16][4130/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6573 (2.6787) Prec@1 47.656 (42.172) Prec@5 64.844 (67.462) Epoch: [16][4140/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7899 (2.6788) Prec@1 37.500 (42.171) Prec@5 67.969 (67.459) Epoch: [16][4150/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.3249 (2.6790) Prec@1 46.875 (42.169) Prec@5 74.219 (67.459) Epoch: [16][4160/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7305 (2.6791) Prec@1 39.062 (42.165) Prec@5 67.969 (67.454) Epoch: [16][4170/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6340 (2.6792) Prec@1 41.406 (42.166) Prec@5 71.094 (67.453) Epoch: [16][4180/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5579 (2.6790) Prec@1 45.312 (42.171) Prec@5 71.094 (67.456) Epoch: [16][4190/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7282 (2.6789) Prec@1 41.406 (42.174) Prec@5 65.625 (67.459) Epoch: [16][4200/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6079 (2.6787) Prec@1 40.625 (42.174) Prec@5 71.875 (67.464) Epoch: [16][4210/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5804 (2.6788) Prec@1 42.969 (42.167) Prec@5 70.312 (67.462) Epoch: [16][4220/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5540 (2.6787) Prec@1 41.406 (42.165) Prec@5 70.312 (67.463) Epoch: [16][4230/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9498 (2.6786) Prec@1 37.500 (42.166) Prec@5 65.625 (67.467) Epoch: [16][4240/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7159 (2.6784) Prec@1 42.969 (42.169) Prec@5 67.969 (67.468) Epoch: [16][4250/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.3360 (2.6784) Prec@1 45.312 (42.169) Prec@5 74.219 (67.470) Epoch: [16][4260/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8438 (2.6787) Prec@1 41.406 (42.161) Prec@5 63.281 (67.464) Epoch: [16][4270/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4341 (2.6787) Prec@1 47.656 (42.163) Prec@5 71.094 (67.461) Epoch: [16][4280/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6208 (2.6786) Prec@1 42.188 (42.166) Prec@5 67.969 (67.461) Epoch: [16][4290/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9370 (2.6786) Prec@1 42.188 (42.164) Prec@5 64.062 (67.461) Epoch: [16][4300/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8273 (2.6789) Prec@1 37.500 (42.160) Prec@5 67.188 (67.457) Epoch: [16][4310/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9650 (2.6791) Prec@1 37.500 (42.159) Prec@5 62.500 (67.452) Epoch: [16][4320/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4182 (2.6794) Prec@1 52.344 (42.155) Prec@5 71.875 (67.448) Epoch: [16][4330/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7263 (2.6795) Prec@1 36.719 (42.152) Prec@5 65.625 (67.444) Epoch: [16][4340/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7373 (2.6794) Prec@1 39.062 (42.154) Prec@5 69.531 (67.450) Epoch: [16][4350/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7250 (2.6796) Prec@1 45.312 (42.151) Prec@5 67.969 (67.446) Epoch: [16][4360/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5404 (2.6793) Prec@1 43.750 (42.152) Prec@5 67.188 (67.452) Epoch: [16][4370/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8102 (2.6793) Prec@1 37.500 (42.151) Prec@5 64.844 (67.454) Epoch: [16][4380/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6216 (2.6795) Prec@1 42.969 (42.150) Prec@5 66.406 (67.449) Epoch: [16][4390/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7152 (2.6795) Prec@1 35.938 (42.147) Prec@5 64.062 (67.450) Epoch: [16][4400/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6219 (2.6794) Prec@1 44.531 (42.144) Prec@5 71.875 (67.451) Epoch: [16][4410/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9935 (2.6796) Prec@1 37.500 (42.141) Prec@5 61.719 (67.451) Epoch: [16][4420/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6501 (2.6799) Prec@1 39.844 (42.133) Prec@5 63.281 (67.446) Epoch: [16][4430/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6506 (2.6798) Prec@1 43.750 (42.139) Prec@5 67.188 (67.447) Epoch: [16][4440/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7852 (2.6798) Prec@1 43.750 (42.144) Prec@5 66.406 (67.446) Epoch: [16][4450/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5187 (2.6797) Prec@1 46.875 (42.148) Prec@5 71.094 (67.443) Epoch: [16][4460/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 3.0365 (2.6799) Prec@1 38.281 (42.147) Prec@5 64.062 (67.438) Epoch: [16][4470/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 2.8021 (2.6802) Prec@1 39.844 (42.144) Prec@5 65.625 (67.432) Epoch: [16][4480/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6007 (2.6801) Prec@1 44.531 (42.145) Prec@5 67.188 (67.433) Epoch: [16][4490/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4299 (2.6799) Prec@1 38.281 (42.146) Prec@5 74.219 (67.438) Epoch: [16][4500/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 3.1361 (2.6800) Prec@1 37.500 (42.147) Prec@5 58.594 (67.438) Epoch: [16][4510/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4644 (2.6798) Prec@1 44.531 (42.153) Prec@5 67.969 (67.441) Epoch: [16][4520/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8699 (2.6797) Prec@1 43.750 (42.152) Prec@5 62.500 (67.442) Epoch: [16][4530/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 3.1660 (2.6798) Prec@1 35.938 (42.149) Prec@5 64.062 (67.442) Epoch: [16][4540/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.2610 (2.6798) Prec@1 34.375 (42.149) Prec@5 57.031 (67.445) Epoch: [16][4550/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.4911 (2.6798) Prec@1 41.406 (42.150) Prec@5 66.406 (67.444) Epoch: [16][4560/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5304 (2.6800) Prec@1 46.094 (42.146) Prec@5 67.969 (67.440) Epoch: [16][4570/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7235 (2.6799) Prec@1 41.406 (42.150) Prec@5 64.844 (67.438) Epoch: [16][4580/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8072 (2.6801) Prec@1 41.406 (42.143) Prec@5 60.938 (67.433) Epoch: [16][4590/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9303 (2.6801) Prec@1 37.500 (42.143) Prec@5 62.500 (67.435) Epoch: [16][4600/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8801 (2.6800) Prec@1 38.281 (42.146) Prec@5 60.156 (67.434) Epoch: [16][4610/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5755 (2.6802) Prec@1 41.406 (42.145) Prec@5 68.750 (67.434) Epoch: [16][4620/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8052 (2.6800) Prec@1 42.188 (42.152) Prec@5 63.281 (67.438) Epoch: [16][4630/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7555 (2.6801) Prec@1 39.062 (42.151) Prec@5 65.625 (67.438) Epoch: [16][4640/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7596 (2.6800) Prec@1 43.750 (42.154) Prec@5 67.969 (67.436) Epoch: [16][4650/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 2.7548 (2.6800) Prec@1 42.969 (42.156) Prec@5 66.406 (67.436) Epoch: [16][4660/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5338 (2.6801) Prec@1 43.750 (42.153) Prec@5 70.312 (67.434) Epoch: [16][4670/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.1451 (2.6803) Prec@1 32.031 (42.147) Prec@5 56.250 (67.428) Epoch: [16][4680/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6590 (2.6803) Prec@1 41.406 (42.148) Prec@5 63.281 (67.428) Epoch: [16][4690/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4782 (2.6804) Prec@1 48.438 (42.147) Prec@5 68.750 (67.423) Epoch: [16][4700/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4953 (2.6805) Prec@1 46.094 (42.143) Prec@5 66.406 (67.417) Epoch: [16][4710/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6142 (2.6806) Prec@1 42.969 (42.142) Prec@5 67.188 (67.416) Epoch: [16][4720/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6547 (2.6806) Prec@1 41.406 (42.146) Prec@5 67.188 (67.416) Epoch: [16][4730/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9010 (2.6810) Prec@1 36.719 (42.142) Prec@5 61.719 (67.409) Epoch: [16][4740/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7277 (2.6811) Prec@1 38.281 (42.142) Prec@5 66.406 (67.407) Epoch: [16][4750/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7513 (2.6813) Prec@1 41.406 (42.138) Prec@5 65.625 (67.405) Epoch: [16][4760/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.2112 (2.6811) Prec@1 51.562 (42.142) Prec@5 79.688 (67.409) Epoch: [16][4770/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8025 (2.6815) Prec@1 42.969 (42.135) Prec@5 70.312 (67.403) Epoch: [16][4780/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6894 (2.6813) Prec@1 39.844 (42.136) Prec@5 62.500 (67.410) Epoch: [16][4790/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8926 (2.6813) Prec@1 37.500 (42.139) Prec@5 64.062 (67.413) Epoch: [16][4800/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6249 (2.6812) Prec@1 44.531 (42.141) Prec@5 67.969 (67.414) Epoch: [16][4810/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6615 (2.6812) Prec@1 44.531 (42.143) Prec@5 67.188 (67.413) Epoch: [16][4820/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5805 (2.6810) Prec@1 44.531 (42.147) Prec@5 67.969 (67.418) Epoch: [16][4830/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4933 (2.6810) Prec@1 42.969 (42.147) Prec@5 67.188 (67.416) Epoch: [16][4840/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7141 (2.6809) Prec@1 39.062 (42.148) Prec@5 67.188 (67.418) Epoch: [16][4850/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5754 (2.6808) Prec@1 44.531 (42.152) Prec@5 69.531 (67.422) Epoch: [16][4860/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5603 (2.6808) Prec@1 47.656 (42.153) Prec@5 71.875 (67.425) Epoch: [16][4870/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.3829 (2.6807) Prec@1 46.094 (42.157) Prec@5 73.438 (67.424) Epoch: [16][4880/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4795 (2.6806) Prec@1 44.531 (42.157) Prec@5 71.875 (67.427) Epoch: [16][4890/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.1603 (2.6808) Prec@1 35.156 (42.156) Prec@5 58.594 (67.424) Epoch: [16][4900/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8569 (2.6807) Prec@1 36.719 (42.155) Prec@5 66.406 (67.423) Epoch: [16][4910/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.1587 (2.6808) Prec@1 32.031 (42.151) Prec@5 60.938 (67.422) Epoch: [16][4920/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.6692 (2.6810) Prec@1 44.531 (42.147) Prec@5 65.625 (67.422) Epoch: [16][4930/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5127 (2.6812) Prec@1 46.094 (42.145) Prec@5 71.094 (67.419) Epoch: [16][4940/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.7759 (2.6813) Prec@1 38.281 (42.139) Prec@5 64.844 (67.412) Epoch: [16][4950/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6825 (2.6813) Prec@1 42.969 (42.144) Prec@5 71.875 (67.414) Epoch: [16][4960/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9622 (2.6815) Prec@1 29.688 (42.137) Prec@5 58.594 (67.410) Epoch: [16][4970/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.4823 (2.6814) Prec@1 39.062 (42.137) Prec@5 72.656 (67.412) Epoch: [16][4980/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7433 (2.6813) Prec@1 49.219 (42.142) Prec@5 65.625 (67.411) Epoch: [16][4990/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5378 (2.6813) Prec@1 42.188 (42.141) Prec@5 67.969 (67.409) Epoch: [16][5000/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8835 (2.6813) Prec@1 37.500 (42.139) Prec@5 67.188 (67.409) Epoch: [16][5010/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5842 (2.6813) Prec@1 46.875 (42.141) Prec@5 69.531 (67.409) Epoch: [16][5020/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0006 (2.6815) Prec@1 37.500 (42.138) Prec@5 57.031 (67.406) Epoch: [16][5030/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7249 (2.6818) Prec@1 39.062 (42.134) Prec@5 69.531 (67.403) Epoch: [16][5040/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.3632 (2.6817) Prec@1 49.219 (42.135) Prec@5 74.219 (67.405) Epoch: [16][5050/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6867 (2.6816) Prec@1 42.188 (42.136) Prec@5 64.062 (67.406) Epoch: [16][5060/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5864 (2.6816) Prec@1 39.062 (42.134) Prec@5 68.750 (67.405) Epoch: [16][5070/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8586 (2.6818) Prec@1 39.062 (42.132) Prec@5 61.719 (67.400) Epoch: [16][5080/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7792 (2.6816) Prec@1 39.062 (42.132) Prec@5 61.719 (67.404) Epoch: [16][5090/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.9409 (2.6818) Prec@1 39.062 (42.131) Prec@5 60.938 (67.400) Epoch: [16][5100/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.4612 (2.6815) Prec@1 46.094 (42.136) Prec@5 72.656 (67.402) Epoch: [16][5110/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9243 (2.6816) Prec@1 36.719 (42.134) Prec@5 66.406 (67.402) Epoch: [16][5120/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4676 (2.6816) Prec@1 52.344 (42.137) Prec@5 71.875 (67.402) Epoch: [16][5130/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5103 (2.6817) Prec@1 47.656 (42.136) Prec@5 72.656 (67.399) Epoch: [16][5140/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.4499 (2.6819) Prec@1 48.438 (42.136) Prec@5 66.406 (67.394) Epoch: [16][5150/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4413 (2.6818) Prec@1 46.094 (42.137) Prec@5 67.969 (67.394) Epoch: [16][5160/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6404 (2.6817) Prec@1 39.062 (42.138) Prec@5 67.188 (67.395) Epoch: [16][5170/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8028 (2.6816) Prec@1 40.625 (42.140) Prec@5 66.406 (67.394) Epoch: [16][5180/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7357 (2.6816) Prec@1 41.406 (42.142) Prec@5 67.969 (67.399) Epoch: [16][5190/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8153 (2.6816) Prec@1 35.938 (42.142) Prec@5 64.844 (67.400) Epoch: [16][5200/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9289 (2.6818) Prec@1 37.500 (42.137) Prec@5 62.500 (67.395) Epoch: [16][5210/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5321 (2.6817) Prec@1 45.312 (42.139) Prec@5 66.406 (67.395) Epoch: [16][5220/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7462 (2.6816) Prec@1 36.719 (42.143) Prec@5 67.969 (67.398) Epoch: [16][5230/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.3894 (2.6816) Prec@1 39.844 (42.144) Prec@5 72.656 (67.398) Epoch: [16][5240/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6098 (2.6818) Prec@1 47.656 (42.141) Prec@5 71.875 (67.393) Epoch: [16][5250/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4782 (2.6817) Prec@1 46.094 (42.140) Prec@5 70.312 (67.392) Epoch: [16][5260/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9165 (2.6819) Prec@1 39.062 (42.137) Prec@5 65.625 (67.388) Epoch: [16][5270/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.2940 (2.6819) Prec@1 46.875 (42.137) Prec@5 74.219 (67.388) Epoch: [16][5280/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9242 (2.6819) Prec@1 39.062 (42.138) Prec@5 62.500 (67.386) Epoch: [16][5290/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.3257 (2.6819) Prec@1 48.438 (42.138) Prec@5 73.438 (67.389) Epoch: [16][5300/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.3060 (2.6817) Prec@1 49.219 (42.142) Prec@5 74.219 (67.390) Epoch: [16][5310/10010] Time 0.330 (0.332) Data 0.002 (0.001) Loss 2.3718 (2.6818) Prec@1 43.750 (42.140) Prec@5 71.094 (67.389) Epoch: [16][5320/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6256 (2.6819) Prec@1 46.094 (42.138) Prec@5 67.188 (67.384) Epoch: [16][5330/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.4690 (2.6818) Prec@1 47.656 (42.141) Prec@5 73.438 (67.388) Epoch: [16][5340/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9873 (2.6820) Prec@1 41.406 (42.138) Prec@5 58.594 (67.385) Epoch: [16][5350/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7664 (2.6821) Prec@1 39.062 (42.136) Prec@5 65.625 (67.385) Epoch: [16][5360/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6660 (2.6819) Prec@1 42.188 (42.135) Prec@5 71.875 (67.389) Epoch: [16][5370/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6485 (2.6821) Prec@1 44.531 (42.133) Prec@5 68.750 (67.389) Epoch: [16][5380/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6211 (2.6820) Prec@1 40.625 (42.134) Prec@5 68.750 (67.390) Epoch: [16][5390/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4201 (2.6821) Prec@1 49.219 (42.131) Prec@5 69.531 (67.388) Epoch: [16][5400/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7529 (2.6820) Prec@1 43.750 (42.131) Prec@5 67.188 (67.388) Epoch: [16][5410/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7504 (2.6820) Prec@1 46.094 (42.131) Prec@5 61.719 (67.389) Epoch: [16][5420/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4023 (2.6820) Prec@1 46.094 (42.135) Prec@5 70.312 (67.389) Epoch: [16][5430/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7416 (2.6818) Prec@1 42.969 (42.141) Prec@5 65.625 (67.393) Epoch: [16][5440/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9554 (2.6818) Prec@1 40.625 (42.140) Prec@5 61.719 (67.393) Epoch: [16][5450/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5897 (2.6818) Prec@1 42.969 (42.140) Prec@5 67.969 (67.394) Epoch: [16][5460/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4847 (2.6818) Prec@1 45.312 (42.136) Prec@5 71.094 (67.393) Epoch: [16][5470/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5802 (2.6819) Prec@1 42.969 (42.137) Prec@5 71.094 (67.390) Epoch: [16][5480/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5486 (2.6818) Prec@1 42.969 (42.137) Prec@5 70.312 (67.391) Epoch: [16][5490/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5820 (2.6816) Prec@1 46.094 (42.144) Prec@5 68.750 (67.394) Epoch: [16][5500/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.0691 (2.6818) Prec@1 34.375 (42.139) Prec@5 58.594 (67.392) Epoch: [16][5510/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7075 (2.6818) Prec@1 42.969 (42.141) Prec@5 69.531 (67.393) Epoch: [16][5520/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7540 (2.6816) Prec@1 44.531 (42.147) Prec@5 61.719 (67.397) Epoch: [16][5530/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6294 (2.6814) Prec@1 39.062 (42.147) Prec@5 67.188 (67.399) Epoch: [16][5540/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7957 (2.6814) Prec@1 37.500 (42.142) Prec@5 64.844 (67.398) Epoch: [16][5550/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7872 (2.6813) Prec@1 37.500 (42.143) Prec@5 69.531 (67.398) Epoch: [16][5560/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4241 (2.6812) Prec@1 45.312 (42.145) Prec@5 69.531 (67.401) Epoch: [16][5570/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6751 (2.6813) Prec@1 46.094 (42.145) Prec@5 67.188 (67.401) Epoch: [16][5580/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.9794 (2.6813) Prec@1 35.938 (42.146) Prec@5 66.406 (67.403) Epoch: [16][5590/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4672 (2.6814) Prec@1 43.750 (42.145) Prec@5 71.094 (67.401) Epoch: [16][5600/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7828 (2.6815) Prec@1 43.750 (42.142) Prec@5 66.406 (67.400) Epoch: [16][5610/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.4560 (2.6815) Prec@1 42.969 (42.143) Prec@5 67.188 (67.400) Epoch: [16][5620/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7624 (2.6816) Prec@1 41.406 (42.145) Prec@5 67.188 (67.399) Epoch: [16][5630/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6269 (2.6817) Prec@1 43.750 (42.142) Prec@5 67.969 (67.396) Epoch: [16][5640/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8603 (2.6817) Prec@1 34.375 (42.140) Prec@5 64.844 (67.396) Epoch: [16][5650/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7614 (2.6816) Prec@1 39.062 (42.140) Prec@5 61.719 (67.399) Epoch: [16][5660/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4390 (2.6816) Prec@1 45.312 (42.137) Prec@5 70.312 (67.398) Epoch: [16][5670/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8289 (2.6818) Prec@1 33.594 (42.136) Prec@5 68.750 (67.395) Epoch: [16][5680/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5882 (2.6818) Prec@1 46.094 (42.135) Prec@5 69.531 (67.395) Epoch: [16][5690/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8966 (2.6820) Prec@1 40.625 (42.135) Prec@5 62.500 (67.390) Epoch: [16][5700/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6599 (2.6819) Prec@1 43.750 (42.137) Prec@5 64.844 (67.392) Epoch: [16][5710/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5839 (2.6819) Prec@1 47.656 (42.140) Prec@5 69.531 (67.393) Epoch: [16][5720/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.4971 (2.6820) Prec@1 39.844 (42.138) Prec@5 70.312 (67.390) Epoch: [16][5730/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7707 (2.6820) Prec@1 44.531 (42.138) Prec@5 67.188 (67.390) Epoch: [16][5740/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0231 (2.6821) Prec@1 37.500 (42.136) Prec@5 64.062 (67.389) Epoch: [16][5750/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8216 (2.6823) Prec@1 41.406 (42.134) Prec@5 62.500 (67.385) Epoch: [16][5760/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6560 (2.6822) Prec@1 35.938 (42.131) Prec@5 61.719 (67.384) Epoch: [16][5770/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9186 (2.6822) Prec@1 38.281 (42.131) Prec@5 64.844 (67.384) Epoch: [16][5780/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8783 (2.6821) Prec@1 34.375 (42.131) Prec@5 63.281 (67.386) Epoch: [16][5790/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.9211 (2.6822) Prec@1 38.281 (42.128) Prec@5 67.188 (67.387) Epoch: [16][5800/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8173 (2.6820) Prec@1 37.500 (42.130) Prec@5 66.406 (67.390) Epoch: [16][5810/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6997 (2.6819) Prec@1 44.531 (42.132) Prec@5 64.844 (67.392) Epoch: [16][5820/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.4458 (2.6818) Prec@1 40.625 (42.132) Prec@5 73.438 (67.393) Epoch: [16][5830/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4528 (2.6818) Prec@1 42.188 (42.132) Prec@5 68.750 (67.392) Epoch: [16][5840/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5265 (2.6819) Prec@1 46.094 (42.133) Prec@5 71.875 (67.393) Epoch: [16][5850/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.2061 (2.6819) Prec@1 35.156 (42.134) Prec@5 59.375 (67.394) Epoch: [16][5860/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8704 (2.6821) Prec@1 38.281 (42.131) Prec@5 66.406 (67.393) Epoch: [16][5870/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5569 (2.6821) Prec@1 42.969 (42.130) Prec@5 71.875 (67.392) Epoch: [16][5880/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9942 (2.6822) Prec@1 32.031 (42.131) Prec@5 62.500 (67.391) Epoch: [16][5890/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7711 (2.6825) Prec@1 40.625 (42.127) Prec@5 64.062 (67.386) Epoch: [16][5900/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7100 (2.6826) Prec@1 44.531 (42.128) Prec@5 67.188 (67.388) Epoch: [16][5910/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5758 (2.6827) Prec@1 43.750 (42.126) Prec@5 67.188 (67.388) Epoch: [16][5920/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5965 (2.6827) Prec@1 46.094 (42.129) Prec@5 71.094 (67.388) Epoch: [16][5930/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5123 (2.6828) Prec@1 42.969 (42.128) Prec@5 71.094 (67.387) Epoch: [16][5940/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6751 (2.6828) Prec@1 44.531 (42.124) Prec@5 68.750 (67.384) Epoch: [16][5950/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9163 (2.6831) Prec@1 41.406 (42.120) Prec@5 63.281 (67.379) Epoch: [16][5960/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.3017 (2.6832) Prec@1 46.875 (42.117) Prec@5 75.781 (67.378) Epoch: [16][5970/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7249 (2.6832) Prec@1 46.875 (42.118) Prec@5 67.188 (67.378) Epoch: [16][5980/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4033 (2.6832) Prec@1 47.656 (42.117) Prec@5 75.000 (67.380) Epoch: [16][5990/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4485 (2.6830) Prec@1 50.781 (42.121) Prec@5 73.438 (67.383) Epoch: [16][6000/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0057 (2.6831) Prec@1 37.500 (42.119) Prec@5 65.625 (67.383) Epoch: [16][6010/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6540 (2.6829) Prec@1 41.406 (42.120) Prec@5 64.844 (67.385) Epoch: [16][6020/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 3.1913 (2.6831) Prec@1 32.031 (42.116) Prec@5 58.594 (67.382) Epoch: [16][6030/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 3.1421 (2.6833) Prec@1 32.812 (42.113) Prec@5 57.812 (67.380) Epoch: [16][6040/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.8156 (2.6834) Prec@1 42.188 (42.111) Prec@5 65.625 (67.379) Epoch: [16][6050/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7964 (2.6835) Prec@1 46.875 (42.112) Prec@5 68.750 (67.377) Epoch: [16][6060/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7888 (2.6836) Prec@1 44.531 (42.112) Prec@5 65.625 (67.375) Epoch: [16][6070/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6101 (2.6837) Prec@1 39.844 (42.112) Prec@5 70.312 (67.375) Epoch: [16][6080/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4381 (2.6838) Prec@1 51.562 (42.110) Prec@5 71.875 (67.372) Epoch: [16][6090/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8652 (2.6840) Prec@1 35.938 (42.107) Prec@5 67.969 (67.370) Epoch: [16][6100/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6946 (2.6840) Prec@1 46.094 (42.105) Prec@5 64.062 (67.369) Epoch: [16][6110/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.0358 (2.6840) Prec@1 35.938 (42.106) Prec@5 57.031 (67.370) Epoch: [16][6120/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5387 (2.6841) Prec@1 39.062 (42.107) Prec@5 69.531 (67.367) Epoch: [16][6130/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7492 (2.6841) Prec@1 38.281 (42.107) Prec@5 67.969 (67.367) Epoch: [16][6140/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8338 (2.6841) Prec@1 41.406 (42.106) Prec@5 61.719 (67.366) Epoch: [16][6150/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7796 (2.6842) Prec@1 43.750 (42.103) Prec@5 66.406 (67.364) Epoch: [16][6160/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6277 (2.6843) Prec@1 41.406 (42.099) Prec@5 69.531 (67.362) Epoch: [16][6170/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4354 (2.6842) Prec@1 43.750 (42.099) Prec@5 68.750 (67.364) Epoch: [16][6180/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5432 (2.6842) Prec@1 41.406 (42.100) Prec@5 71.094 (67.363) Epoch: [16][6190/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6077 (2.6840) Prec@1 43.750 (42.100) Prec@5 65.625 (67.365) Epoch: [16][6200/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.2341 (2.6841) Prec@1 32.812 (42.097) Prec@5 58.594 (67.363) Epoch: [16][6210/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4794 (2.6841) Prec@1 49.219 (42.097) Prec@5 69.531 (67.363) Epoch: [16][6220/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.4424 (2.6840) Prec@1 43.750 (42.101) Prec@5 71.094 (67.364) Epoch: [16][6230/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4513 (2.6841) Prec@1 38.281 (42.098) Prec@5 73.438 (67.364) Epoch: [16][6240/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9623 (2.6842) Prec@1 39.062 (42.093) Prec@5 61.719 (67.361) Epoch: [16][6250/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4395 (2.6841) Prec@1 40.625 (42.093) Prec@5 71.875 (67.361) Epoch: [16][6260/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.1120 (2.6843) Prec@1 36.719 (42.091) Prec@5 57.812 (67.358) Epoch: [16][6270/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5946 (2.6844) Prec@1 36.719 (42.087) Prec@5 73.438 (67.357) Epoch: [16][6280/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.0456 (2.6843) Prec@1 36.719 (42.090) Prec@5 60.938 (67.357) Epoch: [16][6290/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8716 (2.6842) Prec@1 40.625 (42.091) Prec@5 61.719 (67.358) Epoch: [16][6300/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.5212 (2.6842) Prec@1 46.094 (42.093) Prec@5 71.875 (67.361) Epoch: [16][6310/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5045 (2.6842) Prec@1 42.969 (42.092) Prec@5 73.438 (67.363) Epoch: [16][6320/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.3032 (2.6841) Prec@1 44.531 (42.095) Prec@5 75.781 (67.365) Epoch: [16][6330/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8377 (2.6841) Prec@1 40.625 (42.094) Prec@5 65.625 (67.365) Epoch: [16][6340/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7791 (2.6841) Prec@1 46.094 (42.096) Prec@5 67.188 (67.368) Epoch: [16][6350/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7278 (2.6838) Prec@1 45.312 (42.101) Prec@5 65.625 (67.373) Epoch: [16][6360/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7267 (2.6838) Prec@1 45.312 (42.104) Prec@5 66.406 (67.373) Epoch: [16][6370/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8329 (2.6837) Prec@1 40.625 (42.104) Prec@5 64.062 (67.374) Epoch: [16][6380/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7187 (2.6837) Prec@1 39.844 (42.103) Prec@5 65.625 (67.373) Epoch: [16][6390/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.3167 (2.6836) Prec@1 44.531 (42.106) Prec@5 78.906 (67.375) Epoch: [16][6400/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8618 (2.6837) Prec@1 42.969 (42.104) Prec@5 66.406 (67.373) Epoch: [16][6410/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7181 (2.6839) Prec@1 42.969 (42.100) Prec@5 65.625 (67.372) Epoch: [16][6420/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7676 (2.6838) Prec@1 38.281 (42.101) Prec@5 61.719 (67.373) Epoch: [16][6430/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7500 (2.6839) Prec@1 40.625 (42.098) Prec@5 63.281 (67.370) Epoch: [16][6440/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7583 (2.6839) Prec@1 42.188 (42.098) Prec@5 66.406 (67.370) Epoch: [16][6450/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5323 (2.6840) Prec@1 46.094 (42.097) Prec@5 64.844 (67.368) Epoch: [16][6460/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6598 (2.6840) Prec@1 45.312 (42.094) Prec@5 68.750 (67.367) Epoch: [16][6470/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.3014 (2.6840) Prec@1 45.312 (42.093) Prec@5 72.656 (67.365) Epoch: [16][6480/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4708 (2.6839) Prec@1 46.094 (42.096) Prec@5 69.531 (67.366) Epoch: [16][6490/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7585 (2.6839) Prec@1 38.281 (42.096) Prec@5 65.625 (67.366) Epoch: [16][6500/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4361 (2.6837) Prec@1 45.312 (42.100) Prec@5 69.531 (67.366) Epoch: [16][6510/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.6790 (2.6837) Prec@1 50.000 (42.103) Prec@5 67.188 (67.367) Epoch: [16][6520/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4854 (2.6837) Prec@1 45.312 (42.104) Prec@5 67.969 (67.365) Epoch: [16][6530/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5337 (2.6837) Prec@1 44.531 (42.100) Prec@5 75.000 (67.367) Epoch: [16][6540/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4749 (2.6838) Prec@1 46.875 (42.098) Prec@5 67.969 (67.364) Epoch: [16][6550/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7104 (2.6838) Prec@1 40.625 (42.098) Prec@5 67.188 (67.364) Epoch: [16][6560/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4333 (2.6837) Prec@1 46.875 (42.101) Prec@5 67.188 (67.364) Epoch: [16][6570/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3268 (2.6837) Prec@1 51.562 (42.104) Prec@5 71.875 (67.364) Epoch: [16][6580/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8120 (2.6838) Prec@1 39.844 (42.102) Prec@5 66.406 (67.363) Epoch: [16][6590/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8728 (2.6842) Prec@1 34.375 (42.096) Prec@5 67.969 (67.356) Epoch: [16][6600/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5255 (2.6843) Prec@1 42.969 (42.096) Prec@5 71.094 (67.355) Epoch: [16][6610/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6559 (2.6842) Prec@1 43.750 (42.097) Prec@5 68.750 (67.357) Epoch: [16][6620/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6965 (2.6843) Prec@1 45.312 (42.097) Prec@5 69.531 (67.354) Epoch: [16][6630/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7550 (2.6842) Prec@1 37.500 (42.099) Prec@5 65.625 (67.356) Epoch: [16][6640/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5623 (2.6843) Prec@1 43.750 (42.096) Prec@5 71.875 (67.355) Epoch: [16][6650/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7295 (2.6843) Prec@1 40.625 (42.097) Prec@5 67.188 (67.353) Epoch: [16][6660/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.7357 (2.6842) Prec@1 39.844 (42.100) Prec@5 71.094 (67.357) Epoch: [16][6670/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4839 (2.6843) Prec@1 41.406 (42.099) Prec@5 71.875 (67.358) Epoch: [16][6680/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7022 (2.6844) Prec@1 37.500 (42.094) Prec@5 69.531 (67.356) Epoch: [16][6690/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8401 (2.6843) Prec@1 42.188 (42.097) Prec@5 62.500 (67.356) Epoch: [16][6700/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7446 (2.6844) Prec@1 44.531 (42.097) Prec@5 64.844 (67.357) Epoch: [16][6710/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6301 (2.6845) Prec@1 42.969 (42.096) Prec@5 63.281 (67.354) Epoch: [16][6720/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7514 (2.6844) Prec@1 42.969 (42.098) Prec@5 68.750 (67.354) Epoch: [16][6730/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8123 (2.6845) Prec@1 37.500 (42.098) Prec@5 64.844 (67.352) Epoch: [16][6740/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8461 (2.6844) Prec@1 42.969 (42.100) Prec@5 64.062 (67.354) Epoch: [16][6750/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4729 (2.6844) Prec@1 48.438 (42.099) Prec@5 71.875 (67.353) Epoch: [16][6760/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5524 (2.6843) Prec@1 50.000 (42.099) Prec@5 75.000 (67.356) Epoch: [16][6770/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8020 (2.6846) Prec@1 38.281 (42.094) Prec@5 68.750 (67.353) Epoch: [16][6780/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5007 (2.6846) Prec@1 46.094 (42.093) Prec@5 72.656 (67.353) Epoch: [16][6790/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.7249 (2.6846) Prec@1 41.406 (42.093) Prec@5 65.625 (67.353) Epoch: [16][6800/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8675 (2.6847) Prec@1 43.750 (42.091) Prec@5 64.844 (67.353) Epoch: [16][6810/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8770 (2.6848) Prec@1 39.062 (42.086) Prec@5 62.500 (67.351) Epoch: [16][6820/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8511 (2.6850) Prec@1 38.281 (42.084) Prec@5 66.406 (67.348) Epoch: [16][6830/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4184 (2.6851) Prec@1 46.094 (42.080) Prec@5 70.312 (67.348) Epoch: [16][6840/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4011 (2.6851) Prec@1 46.094 (42.081) Prec@5 69.531 (67.346) Epoch: [16][6850/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0780 (2.6851) Prec@1 37.500 (42.080) Prec@5 62.500 (67.345) Epoch: [16][6860/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5950 (2.6851) Prec@1 39.062 (42.081) Prec@5 68.750 (67.342) Epoch: [16][6870/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8751 (2.6851) Prec@1 39.844 (42.083) Prec@5 67.969 (67.343) Epoch: [16][6880/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7137 (2.6852) Prec@1 39.062 (42.081) Prec@5 66.406 (67.341) Epoch: [16][6890/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6403 (2.6853) Prec@1 44.531 (42.081) Prec@5 65.625 (67.339) Epoch: [16][6900/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8172 (2.6851) Prec@1 40.625 (42.084) Prec@5 61.719 (67.340) Epoch: [16][6910/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7486 (2.6850) Prec@1 44.531 (42.086) Prec@5 64.062 (67.340) Epoch: [16][6920/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6597 (2.6850) Prec@1 46.094 (42.089) Prec@5 70.312 (67.341) Epoch: [16][6930/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5844 (2.6850) Prec@1 47.656 (42.089) Prec@5 70.312 (67.342) /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: [16][6940/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.7932 (2.6851) Prec@1 33.594 (42.086) Prec@5 64.844 (67.341) Epoch: [16][6950/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.3251 (2.6851) Prec@1 47.656 (42.086) Prec@5 70.312 (67.340) Epoch: [16][6960/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9507 (2.6851) Prec@1 40.625 (42.085) Prec@5 64.062 (67.340) Epoch: [16][6970/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4339 (2.6850) Prec@1 43.750 (42.086) Prec@5 71.094 (67.340) Epoch: [16][6980/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7748 (2.6851) Prec@1 39.062 (42.084) Prec@5 64.062 (67.339) Epoch: [16][6990/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.5389 (2.6850) Prec@1 42.188 (42.084) Prec@5 65.625 (67.340) Epoch: [16][7000/10010] Time 0.327 (0.332) Data 0.002 (0.001) Loss 3.0021 (2.6852) Prec@1 35.938 (42.083) Prec@5 61.719 (67.337) Epoch: [16][7010/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9787 (2.6853) Prec@1 39.062 (42.078) Prec@5 64.844 (67.336) Epoch: [16][7020/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6445 (2.6852) Prec@1 44.531 (42.079) Prec@5 64.062 (67.336) Epoch: [16][7030/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6697 (2.6852) Prec@1 43.750 (42.076) Prec@5 67.969 (67.336) Epoch: [16][7040/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4226 (2.6851) Prec@1 40.625 (42.079) Prec@5 68.750 (67.338) Epoch: [16][7050/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6049 (2.6850) Prec@1 44.531 (42.078) Prec@5 67.969 (67.337) Epoch: [16][7060/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6596 (2.6852) Prec@1 32.812 (42.074) Prec@5 71.094 (67.335) Epoch: [16][7070/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6277 (2.6851) Prec@1 39.062 (42.075) Prec@5 71.875 (67.337) Epoch: [16][7080/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7775 (2.6851) Prec@1 38.281 (42.073) Prec@5 67.969 (67.338) Epoch: [16][7090/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6599 (2.6850) Prec@1 44.531 (42.075) Prec@5 67.188 (67.339) Epoch: [16][7100/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5285 (2.6850) Prec@1 48.438 (42.072) Prec@5 67.188 (67.340) Epoch: [16][7110/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7314 (2.6851) Prec@1 37.500 (42.071) Prec@5 63.281 (67.339) Epoch: [16][7120/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.5638 (2.6851) Prec@1 42.188 (42.069) Prec@5 67.188 (67.338) Epoch: [16][7130/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7564 (2.6853) Prec@1 44.531 (42.066) Prec@5 66.406 (67.335) Epoch: [16][7140/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8780 (2.6853) Prec@1 35.938 (42.064) Prec@5 64.062 (67.335) Epoch: [16][7150/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4170 (2.6854) Prec@1 46.875 (42.063) Prec@5 70.312 (67.334) Epoch: [16][7160/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7899 (2.6856) Prec@1 46.094 (42.061) Prec@5 64.062 (67.332) Epoch: [16][7170/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9991 (2.6857) Prec@1 38.281 (42.058) Prec@5 64.844 (67.330) Epoch: [16][7180/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7103 (2.6858) Prec@1 47.656 (42.059) Prec@5 67.188 (67.329) Epoch: [16][7190/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6522 (2.6857) Prec@1 43.750 (42.060) Prec@5 66.406 (67.329) Epoch: [16][7200/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6182 (2.6858) Prec@1 43.750 (42.058) Prec@5 65.625 (67.328) Epoch: [16][7210/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8128 (2.6858) Prec@1 38.281 (42.058) Prec@5 66.406 (67.329) Epoch: [16][7220/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8204 (2.6856) Prec@1 40.625 (42.061) Prec@5 64.844 (67.330) Epoch: [16][7230/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7034 (2.6858) Prec@1 45.312 (42.058) Prec@5 68.750 (67.328) Epoch: [16][7240/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6605 (2.6858) Prec@1 45.312 (42.060) Prec@5 67.188 (67.329) Epoch: [16][7250/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6918 (2.6858) Prec@1 41.406 (42.060) Prec@5 67.188 (67.328) Epoch: [16][7260/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8009 (2.6858) Prec@1 42.188 (42.059) Prec@5 62.500 (67.328) Epoch: [16][7270/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9605 (2.6858) Prec@1 40.625 (42.060) Prec@5 57.031 (67.328) Epoch: [16][7280/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.0130 (2.6857) Prec@1 35.938 (42.061) Prec@5 63.281 (67.328) Epoch: [16][7290/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.1481 (2.6857) Prec@1 31.250 (42.061) Prec@5 64.062 (67.328) Epoch: [16][7300/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.9306 (2.6859) Prec@1 32.031 (42.058) Prec@5 61.719 (67.324) Epoch: [16][7310/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6448 (2.6858) Prec@1 42.188 (42.062) Prec@5 68.750 (67.325) Epoch: [16][7320/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5914 (2.6857) Prec@1 40.625 (42.062) Prec@5 71.094 (67.327) Epoch: [16][7330/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 3.1619 (2.6858) Prec@1 33.594 (42.060) Prec@5 57.031 (67.326) Epoch: [16][7340/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5393 (2.6859) Prec@1 45.312 (42.060) Prec@5 67.188 (67.324) Epoch: [16][7350/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5898 (2.6858) Prec@1 41.406 (42.061) Prec@5 64.844 (67.325) Epoch: [16][7360/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9841 (2.6857) Prec@1 38.281 (42.064) Prec@5 64.844 (67.327) Epoch: [16][7370/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8337 (2.6859) Prec@1 40.625 (42.058) Prec@5 65.625 (67.322) Epoch: [16][7380/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4645 (2.6858) Prec@1 44.531 (42.062) Prec@5 70.312 (67.325) Epoch: [16][7390/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6853 (2.6859) Prec@1 40.625 (42.060) Prec@5 68.750 (67.323) Epoch: [16][7400/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8595 (2.6860) Prec@1 44.531 (42.058) Prec@5 64.844 (67.320) Epoch: [16][7410/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8763 (2.6860) Prec@1 40.625 (42.058) Prec@5 70.312 (67.322) Epoch: [16][7420/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8736 (2.6861) Prec@1 47.656 (42.059) Prec@5 62.500 (67.321) Epoch: [16][7430/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5753 (2.6859) Prec@1 46.094 (42.060) Prec@5 64.062 (67.324) Epoch: [16][7440/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.2066 (2.6861) Prec@1 51.562 (42.058) Prec@5 77.344 (67.322) Epoch: [16][7450/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7697 (2.6863) Prec@1 39.844 (42.053) Prec@5 67.969 (67.319) Epoch: [16][7460/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5846 (2.6864) Prec@1 42.969 (42.052) Prec@5 64.844 (67.317) Epoch: [16][7470/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6912 (2.6863) Prec@1 38.281 (42.057) Prec@5 64.844 (67.319) Epoch: [16][7480/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1026 (2.6865) Prec@1 36.719 (42.055) Prec@5 60.938 (67.317) Epoch: [16][7490/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5550 (2.6864) Prec@1 42.188 (42.054) Prec@5 67.188 (67.319) Epoch: [16][7500/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6396 (2.6866) Prec@1 41.406 (42.053) Prec@5 71.094 (67.315) Epoch: [16][7510/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.5738 (2.6865) Prec@1 42.188 (42.054) Prec@5 70.312 (67.316) Epoch: [16][7520/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0189 (2.6867) Prec@1 40.625 (42.052) Prec@5 66.406 (67.312) Epoch: [16][7530/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6045 (2.6868) Prec@1 46.094 (42.051) Prec@5 70.312 (67.310) Epoch: [16][7540/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5062 (2.6869) Prec@1 39.062 (42.051) Prec@5 69.531 (67.308) Epoch: [16][7550/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7108 (2.6869) Prec@1 46.094 (42.050) Prec@5 65.625 (67.306) Epoch: [16][7560/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.8312 (2.6870) Prec@1 43.750 (42.051) Prec@5 62.500 (67.306) Epoch: [16][7570/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8138 (2.6871) Prec@1 43.750 (42.050) Prec@5 68.750 (67.303) Epoch: [16][7580/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 3.0017 (2.6872) Prec@1 39.844 (42.049) Prec@5 64.062 (67.302) Epoch: [16][7590/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7200 (2.6872) Prec@1 40.625 (42.049) Prec@5 64.062 (67.303) Epoch: [16][7600/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7074 (2.6872) Prec@1 50.781 (42.048) Prec@5 70.312 (67.302) Epoch: [16][7610/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8916 (2.6872) Prec@1 38.281 (42.047) Prec@5 66.406 (67.302) /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: [16][7620/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8614 (2.6873) Prec@1 40.625 (42.047) Prec@5 67.188 (67.301) Epoch: [16][7630/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.4170 (2.6873) Prec@1 45.312 (42.047) Prec@5 78.125 (67.302) Epoch: [16][7640/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7607 (2.6873) Prec@1 39.844 (42.047) Prec@5 67.969 (67.302) Epoch: [16][7650/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4429 (2.6874) Prec@1 38.281 (42.045) Prec@5 78.906 (67.302) Epoch: [16][7660/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7303 (2.6874) Prec@1 42.188 (42.048) Prec@5 68.750 (67.304) Epoch: [16][7670/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6706 (2.6875) Prec@1 44.531 (42.047) Prec@5 66.406 (67.303) Epoch: [16][7680/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8692 (2.6874) Prec@1 39.844 (42.045) Prec@5 62.500 (67.302) Epoch: [16][7690/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5154 (2.6875) Prec@1 52.344 (42.045) Prec@5 70.312 (67.301) Epoch: [16][7700/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8060 (2.6876) Prec@1 46.875 (42.047) Prec@5 64.062 (67.299) Epoch: [16][7710/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7641 (2.6875) Prec@1 34.375 (42.046) Prec@5 64.844 (67.298) Epoch: [16][7720/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5739 (2.6876) Prec@1 50.000 (42.046) Prec@5 67.969 (67.296) Epoch: [16][7730/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6400 (2.6875) Prec@1 39.062 (42.048) Prec@5 71.094 (67.300) Epoch: [16][7740/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9026 (2.6877) Prec@1 42.969 (42.048) Prec@5 60.938 (67.296) Epoch: [16][7750/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.3782 (2.6878) Prec@1 40.625 (42.046) Prec@5 78.125 (67.297) Epoch: [16][7760/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.3227 (2.6877) Prec@1 49.219 (42.048) Prec@5 74.219 (67.299) Epoch: [16][7770/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.5206 (2.6876) Prec@1 46.875 (42.050) Prec@5 68.750 (67.300) Epoch: [16][7780/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8615 (2.6879) Prec@1 36.719 (42.047) Prec@5 65.625 (67.296) Epoch: [16][7790/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5136 (2.6880) Prec@1 37.500 (42.047) Prec@5 65.625 (67.293) Epoch: [16][7800/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5724 (2.6879) Prec@1 43.750 (42.046) Prec@5 67.969 (67.293) Epoch: [16][7810/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7009 (2.6879) Prec@1 45.312 (42.047) Prec@5 73.438 (67.293) Epoch: [16][7820/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.6521 (2.6878) Prec@1 42.969 (42.049) Prec@5 67.969 (67.294) Epoch: [16][7830/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7352 (2.6877) Prec@1 40.625 (42.051) Prec@5 60.938 (67.294) Epoch: [16][7840/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 3.0889 (2.6879) Prec@1 39.844 (42.047) Prec@5 57.031 (67.292) /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: [16][7850/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7721 (2.6879) Prec@1 46.094 (42.048) Prec@5 67.969 (67.293) Epoch: [16][7860/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4093 (2.6878) Prec@1 42.188 (42.049) Prec@5 72.656 (67.295) Epoch: [16][7870/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 3.0459 (2.6878) Prec@1 40.625 (42.048) Prec@5 59.375 (67.293) Epoch: [16][7880/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7502 (2.6878) Prec@1 36.719 (42.048) Prec@5 67.969 (67.292) Epoch: [16][7890/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4533 (2.6878) Prec@1 43.750 (42.049) Prec@5 72.656 (67.293) Epoch: [16][7900/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9535 (2.6880) Prec@1 39.062 (42.047) Prec@5 64.844 (67.291) Epoch: [16][7910/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7313 (2.6879) Prec@1 37.500 (42.048) Prec@5 64.844 (67.291) Epoch: [16][7920/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7158 (2.6879) Prec@1 40.625 (42.047) Prec@5 64.062 (67.291) Epoch: [16][7930/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4226 (2.6880) Prec@1 47.656 (42.049) Prec@5 71.875 (67.289) Epoch: [16][7940/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.4933 (2.6880) Prec@1 40.625 (42.048) Prec@5 71.094 (67.291) Epoch: [16][7950/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5368 (2.6881) Prec@1 44.531 (42.048) Prec@5 72.656 (67.290) Epoch: [16][7960/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8003 (2.6881) Prec@1 39.062 (42.047) Prec@5 68.750 (67.292) Epoch: [16][7970/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5139 (2.6880) Prec@1 43.750 (42.047) Prec@5 68.750 (67.292) Epoch: [16][7980/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8979 (2.6881) Prec@1 38.281 (42.048) Prec@5 66.406 (67.291) Epoch: [16][7990/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8605 (2.6881) Prec@1 43.750 (42.045) Prec@5 67.188 (67.291) Epoch: [16][8000/10010] Time 0.352 (0.332) Data 0.000 (0.001) Loss 2.4773 (2.6881) Prec@1 44.531 (42.046) Prec@5 67.969 (67.291) Epoch: [16][8010/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6223 (2.6882) Prec@1 46.875 (42.045) Prec@5 72.656 (67.291) Epoch: [16][8020/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7767 (2.6883) Prec@1 38.281 (42.042) Prec@5 69.531 (67.289) Epoch: [16][8030/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9171 (2.6884) Prec@1 40.625 (42.040) Prec@5 68.750 (67.290) Epoch: [16][8040/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8610 (2.6885) Prec@1 41.406 (42.038) Prec@5 63.281 (67.288) Epoch: [16][8050/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9660 (2.6886) Prec@1 37.500 (42.038) Prec@5 60.938 (67.286) Epoch: [16][8060/10010] Time 0.355 (0.332) Data 0.000 (0.001) Loss 2.7430 (2.6885) Prec@1 42.969 (42.039) Prec@5 67.969 (67.288) Epoch: [16][8070/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.0261 (2.6885) Prec@1 36.719 (42.037) Prec@5 56.250 (67.286) Epoch: [16][8080/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5107 (2.6885) Prec@1 45.312 (42.036) Prec@5 73.438 (67.287) Epoch: [16][8090/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5792 (2.6884) Prec@1 41.406 (42.035) Prec@5 72.656 (67.289) Epoch: [16][8100/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8402 (2.6884) Prec@1 38.281 (42.039) Prec@5 64.844 (67.289) Epoch: [16][8110/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7756 (2.6885) Prec@1 41.406 (42.037) Prec@5 61.719 (67.286) Epoch: [16][8120/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4961 (2.6885) Prec@1 49.219 (42.040) Prec@5 70.312 (67.286) Epoch: [16][8130/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6899 (2.6884) Prec@1 39.844 (42.042) Prec@5 67.188 (67.286) Epoch: [16][8140/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.6459 (2.6883) Prec@1 46.875 (42.044) Prec@5 69.531 (67.286) Epoch: [16][8150/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7173 (2.6882) Prec@1 41.406 (42.045) Prec@5 65.625 (67.287) Epoch: [16][8160/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7201 (2.6882) Prec@1 44.531 (42.045) Prec@5 65.625 (67.287) Epoch: [16][8170/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6732 (2.6882) Prec@1 40.625 (42.045) Prec@5 65.625 (67.286) Epoch: [16][8180/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6610 (2.6883) Prec@1 41.406 (42.042) Prec@5 60.156 (67.283) Epoch: [16][8190/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7570 (2.6883) Prec@1 42.188 (42.041) Prec@5 66.406 (67.283) Epoch: [16][8200/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6861 (2.6883) Prec@1 45.312 (42.041) Prec@5 64.844 (67.282) Epoch: [16][8210/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8494 (2.6884) Prec@1 38.281 (42.040) Prec@5 61.719 (67.280) Epoch: [16][8220/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8693 (2.6883) Prec@1 36.719 (42.041) Prec@5 65.625 (67.284) Epoch: [16][8230/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7808 (2.6883) Prec@1 39.844 (42.041) Prec@5 67.969 (67.285) Epoch: [16][8240/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7131 (2.6884) Prec@1 39.062 (42.037) Prec@5 64.062 (67.284) Epoch: [16][8250/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4445 (2.6884) Prec@1 44.531 (42.037) Prec@5 71.875 (67.284) Epoch: [16][8260/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7817 (2.6884) Prec@1 38.281 (42.036) Prec@5 61.719 (67.283) Epoch: [16][8270/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7447 (2.6884) Prec@1 45.312 (42.038) Prec@5 71.094 (67.285) Epoch: [16][8280/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9512 (2.6885) Prec@1 39.062 (42.037) Prec@5 66.406 (67.281) Epoch: [16][8290/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5520 (2.6883) Prec@1 39.844 (42.040) Prec@5 68.750 (67.283) Epoch: [16][8300/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.9063 (2.6883) Prec@1 41.406 (42.040) Prec@5 65.625 (67.282) Epoch: [16][8310/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7498 (2.6883) Prec@1 35.156 (42.040) Prec@5 68.750 (67.283) Epoch: [16][8320/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7412 (2.6884) Prec@1 44.531 (42.041) Prec@5 67.188 (67.282) Epoch: [16][8330/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.9333 (2.6883) Prec@1 35.156 (42.042) Prec@5 64.062 (67.281) Epoch: [16][8340/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9165 (2.6884) Prec@1 33.594 (42.043) Prec@5 64.062 (67.282) Epoch: [16][8350/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4070 (2.6884) Prec@1 50.000 (42.042) Prec@5 73.438 (67.281) Epoch: [16][8360/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6715 (2.6884) Prec@1 40.625 (42.044) Prec@5 68.750 (67.282) Epoch: [16][8370/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4171 (2.6883) Prec@1 46.094 (42.044) Prec@5 71.875 (67.283) Epoch: [16][8380/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5127 (2.6883) Prec@1 42.188 (42.043) Prec@5 68.750 (67.283) Epoch: [16][8390/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.3131 (2.6882) Prec@1 44.531 (42.044) Prec@5 74.219 (67.286) Epoch: [16][8400/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7793 (2.6881) Prec@1 45.312 (42.047) Prec@5 66.406 (67.287) Epoch: [16][8410/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8107 (2.6881) Prec@1 40.625 (42.047) Prec@5 65.625 (67.286) Epoch: [16][8420/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7623 (2.6882) Prec@1 39.062 (42.047) Prec@5 65.625 (67.286) Epoch: [16][8430/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8794 (2.6883) Prec@1 39.844 (42.045) Prec@5 62.500 (67.283) Epoch: [16][8440/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.5936 (2.6884) Prec@1 46.875 (42.042) Prec@5 69.531 (67.283) Epoch: [16][8450/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6398 (2.6885) Prec@1 39.062 (42.040) Prec@5 71.094 (67.281) Epoch: [16][8460/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5153 (2.6885) Prec@1 41.406 (42.039) Prec@5 73.438 (67.282) Epoch: [16][8470/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8252 (2.6886) Prec@1 43.750 (42.041) Prec@5 69.531 (67.281) Epoch: [16][8480/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.8158 (2.6885) Prec@1 41.406 (42.043) Prec@5 62.500 (67.280) Epoch: [16][8490/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6038 (2.6883) Prec@1 43.750 (42.044) Prec@5 70.312 (67.284) Epoch: [16][8500/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8233 (2.6883) Prec@1 40.625 (42.046) Prec@5 65.625 (67.285) Epoch: [16][8510/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7661 (2.6881) Prec@1 43.750 (42.046) Prec@5 64.062 (67.288) Epoch: [16][8520/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9441 (2.6882) Prec@1 35.938 (42.045) Prec@5 60.156 (67.288) Epoch: [16][8530/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.9574 (2.6882) Prec@1 32.812 (42.045) Prec@5 64.844 (67.288) Epoch: [16][8540/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 2.7154 (2.6882) Prec@1 44.531 (42.046) Prec@5 66.406 (67.289) Epoch: [16][8550/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8911 (2.6880) Prec@1 41.406 (42.048) Prec@5 60.156 (67.290) Epoch: [16][8560/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.5360 (2.6880) Prec@1 48.438 (42.049) Prec@5 70.312 (67.291) Epoch: [16][8570/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6615 (2.6879) Prec@1 44.531 (42.050) Prec@5 69.531 (67.293) Epoch: [16][8580/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0139 (2.6879) Prec@1 39.844 (42.050) Prec@5 62.500 (67.294) Epoch: [16][8590/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6282 (2.6878) Prec@1 42.188 (42.049) Prec@5 68.750 (67.297) Epoch: [16][8600/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7616 (2.6879) Prec@1 44.531 (42.048) Prec@5 63.281 (67.296) Epoch: [16][8610/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5158 (2.6879) Prec@1 40.625 (42.046) Prec@5 69.531 (67.296) Epoch: [16][8620/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6387 (2.6878) Prec@1 46.875 (42.048) Prec@5 64.844 (67.298) Epoch: [16][8630/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6223 (2.6878) Prec@1 42.969 (42.048) Prec@5 68.750 (67.297) Epoch: [16][8640/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5739 (2.6878) Prec@1 39.062 (42.046) Prec@5 67.969 (67.296) Epoch: [16][8650/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5167 (2.6878) Prec@1 45.312 (42.046) Prec@5 64.062 (67.295) Epoch: [16][8660/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5368 (2.6877) Prec@1 42.188 (42.046) Prec@5 69.531 (67.297) Epoch: [16][8670/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8175 (2.6878) Prec@1 38.281 (42.044) Prec@5 62.500 (67.295) Epoch: [16][8680/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6927 (2.6879) Prec@1 45.312 (42.044) Prec@5 69.531 (67.294) Epoch: [16][8690/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8744 (2.6880) Prec@1 37.500 (42.043) Prec@5 66.406 (67.293) Epoch: [16][8700/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8166 (2.6880) Prec@1 39.844 (42.041) Prec@5 65.625 (67.293) Epoch: [16][8710/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6661 (2.6880) Prec@1 46.094 (42.041) Prec@5 66.406 (67.294) Epoch: [16][8720/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7307 (2.6880) Prec@1 42.969 (42.041) Prec@5 67.188 (67.295) Epoch: [16][8730/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7606 (2.6880) Prec@1 35.938 (42.039) Prec@5 65.625 (67.294) Epoch: [16][8740/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6942 (2.6880) Prec@1 39.062 (42.038) Prec@5 65.625 (67.295) Epoch: [16][8750/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7120 (2.6879) Prec@1 39.844 (42.040) Prec@5 67.188 (67.296) Epoch: [16][8760/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4044 (2.6879) Prec@1 47.656 (42.041) Prec@5 72.656 (67.295) Epoch: [16][8770/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6458 (2.6879) Prec@1 42.969 (42.039) Prec@5 71.875 (67.296) /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: [16][8780/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6803 (2.6880) Prec@1 37.500 (42.038) Prec@5 71.875 (67.294) Epoch: [16][8790/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5826 (2.6880) Prec@1 40.625 (42.039) Prec@5 64.062 (67.295) Epoch: [16][8800/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.9355 (2.6880) Prec@1 34.375 (42.037) Prec@5 60.938 (67.295) Epoch: [16][8810/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6215 (2.6879) Prec@1 45.312 (42.039) Prec@5 65.625 (67.296) Epoch: [16][8820/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5970 (2.6880) Prec@1 42.188 (42.039) Prec@5 63.281 (67.295) Epoch: [16][8830/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9930 (2.6879) Prec@1 33.594 (42.037) Prec@5 58.594 (67.297) Epoch: [16][8840/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.8444 (2.6880) Prec@1 40.625 (42.034) Prec@5 63.281 (67.294) Epoch: [16][8850/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4117 (2.6880) Prec@1 49.219 (42.036) Prec@5 70.312 (67.294) Epoch: [16][8860/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.0454 (2.6880) Prec@1 37.500 (42.034) Prec@5 63.281 (67.293) Epoch: [16][8870/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.4718 (2.6881) Prec@1 51.562 (42.036) Prec@5 64.844 (67.292) Epoch: [16][8880/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7848 (2.6882) Prec@1 40.625 (42.034) Prec@5 68.750 (67.291) Epoch: [16][8890/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6985 (2.6882) Prec@1 42.969 (42.033) Prec@5 64.844 (67.292) Epoch: [16][8900/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8315 (2.6883) Prec@1 39.062 (42.033) Prec@5 55.469 (67.289) Epoch: [16][8910/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6457 (2.6883) Prec@1 45.312 (42.034) Prec@5 68.750 (67.289) Epoch: [16][8920/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7492 (2.6883) Prec@1 43.750 (42.033) Prec@5 70.312 (67.289) Epoch: [16][8930/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8263 (2.6882) Prec@1 32.031 (42.033) Prec@5 66.406 (67.289) Epoch: [16][8940/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8806 (2.6882) Prec@1 38.281 (42.035) Prec@5 60.938 (67.290) Epoch: [16][8950/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.3395 (2.6881) Prec@1 48.438 (42.034) Prec@5 72.656 (67.289) Epoch: [16][8960/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5546 (2.6881) Prec@1 42.969 (42.032) Prec@5 71.875 (67.291) Epoch: [16][8970/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6979 (2.6881) Prec@1 42.969 (42.033) Prec@5 66.406 (67.291) Epoch: [16][8980/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.5593 (2.6880) Prec@1 41.406 (42.035) Prec@5 70.312 (67.293) Epoch: [16][8990/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.2468 (2.6879) Prec@1 47.656 (42.038) Prec@5 75.000 (67.295) Epoch: [16][9000/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5665 (2.6879) Prec@1 46.094 (42.038) Prec@5 69.531 (67.294) Epoch: [16][9010/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8301 (2.6880) Prec@1 41.406 (42.034) Prec@5 63.281 (67.292) Epoch: [16][9020/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.2917 (2.6880) Prec@1 48.438 (42.034) Prec@5 74.219 (67.291) Epoch: [16][9030/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7952 (2.6881) Prec@1 42.188 (42.034) Prec@5 66.406 (67.290) Epoch: [16][9040/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6161 (2.6881) Prec@1 47.656 (42.034) Prec@5 70.312 (67.290) Epoch: [16][9050/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7190 (2.6880) Prec@1 43.750 (42.036) Prec@5 67.969 (67.291) Epoch: [16][9060/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.2114 (2.6879) Prec@1 48.438 (42.037) Prec@5 71.875 (67.292) Epoch: [16][9070/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6738 (2.6879) Prec@1 43.750 (42.035) Prec@5 65.625 (67.291) Epoch: [16][9080/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.7666 (2.6880) Prec@1 42.969 (42.035) Prec@5 67.188 (67.290) Epoch: [16][9090/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7097 (2.6881) Prec@1 41.406 (42.033) Prec@5 68.750 (67.288) Epoch: [16][9100/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.4974 (2.6881) Prec@1 46.875 (42.033) Prec@5 71.094 (67.287) Epoch: [16][9110/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3853 (2.6881) Prec@1 46.094 (42.033) Prec@5 75.000 (67.287) Epoch: [16][9120/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5752 (2.6882) Prec@1 41.406 (42.031) Prec@5 71.094 (67.285) Epoch: [16][9130/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 3.0033 (2.6882) Prec@1 35.156 (42.030) Prec@5 59.375 (67.285) Epoch: [16][9140/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8346 (2.6882) Prec@1 39.062 (42.028) Prec@5 67.188 (67.285) Epoch: [16][9150/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6797 (2.6882) Prec@1 45.312 (42.028) Prec@5 66.406 (67.284) Epoch: [16][9160/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.4758 (2.6882) Prec@1 44.531 (42.027) Prec@5 67.969 (67.283) Epoch: [16][9170/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.4022 (2.6881) Prec@1 46.875 (42.029) Prec@5 73.438 (67.285) Epoch: [16][9180/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8152 (2.6882) Prec@1 42.188 (42.027) Prec@5 64.062 (67.282) Epoch: [16][9190/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.0661 (2.6883) Prec@1 35.938 (42.025) Prec@5 57.031 (67.281) Epoch: [16][9200/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8396 (2.6882) Prec@1 35.156 (42.025) Prec@5 62.500 (67.279) Epoch: [16][9210/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.4527 (2.6883) Prec@1 45.312 (42.023) Prec@5 68.750 (67.279) Epoch: [16][9220/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.8357 (2.6882) Prec@1 39.062 (42.023) Prec@5 63.281 (67.280) Epoch: [16][9230/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7565 (2.6884) Prec@1 37.500 (42.021) Prec@5 63.281 (67.277) Epoch: [16][9240/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7545 (2.6884) Prec@1 41.406 (42.020) Prec@5 64.844 (67.277) Epoch: [16][9250/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0159 (2.6884) Prec@1 38.281 (42.019) Prec@5 57.031 (67.274) Epoch: [16][9260/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.2817 (2.6884) Prec@1 53.125 (42.020) Prec@5 74.219 (67.275) Epoch: [16][9270/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4888 (2.6883) Prec@1 43.750 (42.021) Prec@5 73.438 (67.276) Epoch: [16][9280/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.3553 (2.6882) Prec@1 47.656 (42.025) Prec@5 71.875 (67.278) Epoch: [16][9290/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6760 (2.6882) Prec@1 42.969 (42.023) Prec@5 67.188 (67.277) Epoch: [16][9300/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8282 (2.6882) Prec@1 39.062 (42.022) Prec@5 61.719 (67.275) Epoch: [16][9310/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4340 (2.6882) Prec@1 44.531 (42.022) Prec@5 75.781 (67.275) Epoch: [16][9320/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5691 (2.6882) Prec@1 39.062 (42.021) Prec@5 75.781 (67.277) Epoch: [16][9330/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7539 (2.6882) Prec@1 46.094 (42.022) Prec@5 65.625 (67.277) Epoch: [16][9340/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6614 (2.6882) Prec@1 42.188 (42.022) Prec@5 65.625 (67.276) Epoch: [16][9350/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.6804 (2.6882) Prec@1 39.062 (42.023) Prec@5 70.312 (67.277) Epoch: [16][9360/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9233 (2.6882) Prec@1 38.281 (42.023) Prec@5 56.250 (67.277) Epoch: [16][9370/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.3874 (2.6882) Prec@1 43.750 (42.021) Prec@5 75.000 (67.275) Epoch: [16][9380/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5801 (2.6883) Prec@1 39.062 (42.020) Prec@5 68.750 (67.277) Epoch: [16][9390/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6956 (2.6883) Prec@1 43.750 (42.018) Prec@5 66.406 (67.277) Epoch: [16][9400/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6185 (2.6882) Prec@1 45.312 (42.021) Prec@5 67.188 (67.279) Epoch: [16][9410/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7409 (2.6882) Prec@1 44.531 (42.021) Prec@5 64.844 (67.280) Epoch: [16][9420/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.2167 (2.6881) Prec@1 49.219 (42.022) Prec@5 76.562 (67.282) Epoch: [16][9430/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6270 (2.6881) Prec@1 42.188 (42.022) Prec@5 65.625 (67.282) Epoch: [16][9440/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6855 (2.6881) Prec@1 44.531 (42.022) Prec@5 72.656 (67.283) Epoch: [16][9450/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8903 (2.6881) Prec@1 36.719 (42.023) Prec@5 65.625 (67.282) Epoch: [16][9460/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6755 (2.6881) Prec@1 39.062 (42.023) Prec@5 64.844 (67.283) Epoch: [16][9470/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.0084 (2.6881) Prec@1 35.938 (42.023) Prec@5 66.406 (67.283) Epoch: [16][9480/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5114 (2.6880) Prec@1 47.656 (42.025) Prec@5 64.062 (67.284) Epoch: [16][9490/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7792 (2.6880) Prec@1 42.188 (42.025) Prec@5 63.281 (67.284) Epoch: [16][9500/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7170 (2.6881) Prec@1 43.750 (42.024) Prec@5 67.969 (67.282) Epoch: [16][9510/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6552 (2.6881) Prec@1 46.094 (42.023) Prec@5 71.094 (67.283) Epoch: [16][9520/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4963 (2.6881) Prec@1 49.219 (42.025) Prec@5 70.312 (67.284) Epoch: [16][9530/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8862 (2.6882) Prec@1 36.719 (42.024) Prec@5 66.406 (67.282) Epoch: [16][9540/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6584 (2.6882) Prec@1 39.844 (42.022) Prec@5 67.969 (67.282) Epoch: [16][9550/10010] Time 0.331 (0.332) Data 0.002 (0.001) Loss 2.6708 (2.6881) Prec@1 45.312 (42.024) Prec@5 67.188 (67.284) Epoch: [16][9560/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7219 (2.6882) Prec@1 35.938 (42.021) Prec@5 67.969 (67.284) /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: [16][9570/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7580 (2.6883) Prec@1 35.938 (42.019) Prec@5 64.844 (67.284) Epoch: [16][9580/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8613 (2.6883) Prec@1 42.188 (42.022) Prec@5 67.188 (67.286) Epoch: [16][9590/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4702 (2.6883) Prec@1 44.531 (42.020) Prec@5 73.438 (67.286) Epoch: [16][9600/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 3.1219 (2.6884) Prec@1 38.281 (42.019) Prec@5 60.938 (67.284) Epoch: [16][9610/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7597 (2.6884) Prec@1 41.406 (42.017) Prec@5 69.531 (67.282) Epoch: [16][9620/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4926 (2.6884) Prec@1 43.750 (42.017) Prec@5 71.875 (67.284) Epoch: [16][9630/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.1280 (2.6885) Prec@1 42.969 (42.017) Prec@5 58.594 (67.283) Epoch: [16][9640/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7129 (2.6885) Prec@1 40.625 (42.015) Prec@5 62.500 (67.281) Epoch: [16][9650/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6451 (2.6886) Prec@1 43.750 (42.015) Prec@5 67.969 (67.280) Epoch: [16][9660/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5568 (2.6886) Prec@1 48.438 (42.014) Prec@5 70.312 (67.279) Epoch: [16][9670/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 3.0372 (2.6886) Prec@1 41.406 (42.013) Prec@5 61.719 (67.279) Epoch: [16][9680/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4150 (2.6886) Prec@1 45.312 (42.013) Prec@5 72.656 (67.278) Epoch: [16][9690/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7167 (2.6886) Prec@1 42.969 (42.012) Prec@5 68.750 (67.278) Epoch: [16][9700/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5197 (2.6886) Prec@1 39.062 (42.011) Prec@5 70.312 (67.278) Epoch: [16][9710/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8884 (2.6885) Prec@1 38.281 (42.013) Prec@5 60.156 (67.281) Epoch: [16][9720/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.2789 (2.6885) Prec@1 53.125 (42.013) Prec@5 71.875 (67.281) Epoch: [16][9730/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7829 (2.6885) Prec@1 38.281 (42.013) Prec@5 67.188 (67.283) Epoch: [16][9740/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.9660 (2.6885) Prec@1 39.844 (42.011) Prec@5 61.719 (67.282) Epoch: [16][9750/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.9247 (2.6885) Prec@1 35.938 (42.012) Prec@5 60.938 (67.282) Epoch: [16][9760/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8975 (2.6885) Prec@1 38.281 (42.012) Prec@5 65.625 (67.282) Epoch: [16][9770/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8838 (2.6885) Prec@1 33.594 (42.012) Prec@5 62.500 (67.280) Epoch: [16][9780/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4934 (2.6886) Prec@1 40.625 (42.011) Prec@5 72.656 (67.278) Epoch: [16][9790/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6292 (2.6886) Prec@1 47.656 (42.012) Prec@5 66.406 (67.277) /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: [16][9800/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4940 (2.6886) Prec@1 41.406 (42.013) Prec@5 69.531 (67.278) Epoch: [16][9810/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7747 (2.6886) Prec@1 45.312 (42.015) Prec@5 64.844 (67.278) Epoch: [16][9820/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8422 (2.6885) Prec@1 41.406 (42.016) Prec@5 60.938 (67.277) Epoch: [16][9830/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7071 (2.6886) Prec@1 42.188 (42.015) Prec@5 68.750 (67.276) Epoch: [16][9840/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4689 (2.6885) Prec@1 42.188 (42.017) Prec@5 70.312 (67.278) Epoch: [16][9850/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7224 (2.6885) Prec@1 39.844 (42.014) Prec@5 67.188 (67.278) Epoch: [16][9860/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8184 (2.6885) Prec@1 44.531 (42.014) Prec@5 61.719 (67.277) Epoch: [16][9870/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.2309 (2.6885) Prec@1 50.000 (42.014) Prec@5 73.438 (67.277) Epoch: [16][9880/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5241 (2.6885) Prec@1 48.438 (42.017) Prec@5 69.531 (67.277) Epoch: [16][9890/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6859 (2.6885) Prec@1 39.062 (42.017) Prec@5 66.406 (67.277) Epoch: [16][9900/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6082 (2.6886) Prec@1 41.406 (42.015) Prec@5 68.750 (67.275) Epoch: [16][9910/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7141 (2.6887) Prec@1 44.531 (42.015) Prec@5 65.625 (67.276) Epoch: [16][9920/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5889 (2.6886) Prec@1 42.969 (42.015) Prec@5 67.969 (67.276) Epoch: [16][9930/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.4899 (2.6886) Prec@1 48.438 (42.017) Prec@5 71.094 (67.277) Epoch: [16][9940/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3955 (2.6886) Prec@1 48.438 (42.018) Prec@5 70.312 (67.276) Epoch: [16][9950/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5413 (2.6886) Prec@1 45.312 (42.017) Prec@5 68.750 (67.275) Epoch: [16][9960/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8144 (2.6886) Prec@1 36.719 (42.017) Prec@5 64.844 (67.275) Epoch: [16][9970/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6166 (2.6887) Prec@1 39.062 (42.017) Prec@5 70.312 (67.274) Epoch: [16][9980/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3270 (2.6887) Prec@1 46.094 (42.016) Prec@5 70.312 (67.274) Epoch: [16][9990/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6476 (2.6887) Prec@1 46.094 (42.015) Prec@5 71.875 (67.273) Epoch: [16][10000/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6185 (2.6888) Prec@1 40.625 (42.013) Prec@5 71.094 (67.273) Test: [0/391] Time 1.352 (1.352) Loss 2.1156 (2.1156) Prec@1 47.656 (47.656) Prec@5 79.688 (79.688) Test: [10/391] Time 0.113 (0.226) Loss 2.6352 (1.7359) Prec@1 46.875 (56.960) Prec@5 71.094 (84.517) Test: [20/391] Time 0.110 (0.170) Loss 2.4340 (2.1128) Prec@1 46.875 (51.376) Prec@5 69.531 (78.013) Test: [30/391] Time 0.105 (0.149) Loss 3.7051 (2.3748) Prec@1 31.250 (47.278) Prec@5 53.125 (73.866) Test: [40/391] Time 0.106 (0.140) Loss 3.2686 (2.1636) Prec@1 30.469 (51.467) Prec@5 53.125 (76.543) Test: [50/391] Time 0.105 (0.134) Loss 1.3101 (2.2490) Prec@1 66.406 (50.199) Prec@5 90.625 (75.214) Test: [60/391] Time 0.104 (0.129) Loss 2.5017 (2.1323) Prec@1 33.594 (52.203) Prec@5 75.781 (76.806) Test: [70/391] Time 0.107 (0.126) Loss 2.7866 (2.1976) Prec@1 35.156 (50.000) Prec@5 71.094 (75.715) Test: [80/391] Time 0.111 (0.124) Loss 2.4037 (2.2214) Prec@1 41.406 (48.582) Prec@5 72.656 (75.521) Test: [90/391] Time 0.102 (0.123) Loss 2.5987 (2.2545) Prec@1 39.062 (47.562) Prec@5 73.438 (75.034) Test: [100/391] Time 0.108 (0.121) Loss 1.9468 (2.2279) Prec@1 53.125 (47.641) Prec@5 85.156 (75.657) Test: [110/391] Time 0.109 (0.120) Loss 1.9106 (2.2526) Prec@1 47.656 (47.114) Prec@5 82.812 (75.239) Test: [120/391] Time 0.106 (0.119) Loss 2.0455 (2.2394) Prec@1 54.688 (47.579) Prec@5 78.125 (75.504) Test: [130/391] Time 0.114 (0.119) Loss 1.2928 (2.2170) Prec@1 71.875 (48.193) Prec@5 85.938 (75.811) Test: [140/391] Time 0.102 (0.118) Loss 3.5434 (2.2129) Prec@1 22.656 (48.266) Prec@5 50.781 (75.831) Test: [150/391] Time 0.104 (0.117) Loss 2.2190 (2.2145) Prec@1 34.375 (48.313) Prec@5 85.938 (75.854) Test: [160/391] Time 0.111 (0.117) Loss 3.3938 (2.2207) Prec@1 27.344 (48.263) Prec@5 56.250 (75.922) Test: [170/391] Time 0.105 (0.116) Loss 3.7037 (2.2686) Prec@1 19.531 (47.496) Prec@5 52.344 (75.201) Test: [180/391] Time 0.105 (0.116) Loss 3.1417 (2.3020) Prec@1 35.938 (46.879) Prec@5 65.625 (74.702) Test: [190/391] Time 0.109 (0.115) Loss 3.2572 (2.3295) Prec@1 26.562 (46.495) Prec@5 62.500 (74.190) Test: [200/391] Time 0.108 (0.115) Loss 3.3648 (2.3886) Prec@1 29.688 (45.635) Prec@5 54.688 (73.247) Test: [210/391] Time 0.115 (0.115) Loss 2.3753 (2.4050) Prec@1 46.094 (45.461) Prec@5 73.438 (72.941) Test: [220/391] Time 0.109 (0.115) Loss 1.8508 (2.4172) Prec@1 63.281 (45.443) Prec@5 80.469 (72.653) Test: [230/391] Time 0.103 (0.114) Loss 3.5920 (2.4305) Prec@1 27.344 (45.390) Prec@5 57.031 (72.420) Test: [240/391] Time 0.104 (0.114) Loss 3.7187 (2.4577) Prec@1 28.125 (45.128) Prec@5 48.438 (71.950) Test: [250/391] Time 0.103 (0.114) Loss 1.9823 (2.4818) Prec@1 56.250 (44.730) Prec@5 81.250 (71.691) Test: [260/391] Time 0.110 (0.113) Loss 3.6011 (2.5031) Prec@1 17.188 (44.295) Prec@5 63.281 (71.387) Test: [270/391] Time 0.109 (0.114) Loss 3.6871 (2.5207) Prec@1 15.625 (44.038) Prec@5 57.812 (71.088) Test: [280/391] Time 0.112 (0.113) Loss 1.6274 (2.5347) Prec@1 57.812 (43.936) Prec@5 85.938 (70.821) Test: [290/391] Time 0.106 (0.113) Loss 2.4761 (2.5544) Prec@1 35.156 (43.731) Prec@5 75.000 (70.519) Test: [300/391] Time 0.107 (0.113) Loss 2.8031 (2.5755) Prec@1 52.344 (43.457) Prec@5 70.312 (70.185) Test: [310/391] Time 0.109 (0.113) Loss 2.6400 (2.5885) Prec@1 50.781 (43.353) Prec@5 70.312 (69.958) Test: [320/391] Time 0.104 (0.113) Loss 2.4566 (2.5938) Prec@1 33.594 (43.295) Prec@5 74.219 (69.894) Test: [330/391] Time 0.108 (0.113) Loss 3.6698 (2.6180) Prec@1 25.000 (42.891) Prec@5 54.688 (69.543) Test: [340/391] Time 0.114 (0.113) Loss 1.8931 (2.6243) Prec@1 46.875 (42.724) Prec@5 83.594 (69.401) Test: [350/391] Time 0.107 (0.113) Loss 2.2526 (2.6373) Prec@1 52.344 (42.548) Prec@5 73.438 (69.193) Test: [360/391] Time 0.104 (0.113) Loss 3.5597 (2.6456) Prec@1 32.031 (42.467) Prec@5 52.344 (69.081) Test: [370/391] Time 0.109 (0.113) Loss 2.7682 (2.6434) Prec@1 42.188 (42.499) Prec@5 75.781 (69.148) Test: [380/391] Time 0.102 (0.112) Loss 1.2025 (2.6489) Prec@1 67.969 (42.409) Prec@5 90.625 (69.076) Test: [390/391] Time 0.071 (0.112) Loss 3.5434 (2.6269) Prec@1 26.250 (42.818) Prec@5 60.000 (69.400) * Prec@1 42.818 Prec@5 69.400 Epoch: [17][0/10010] Time 2.757 (2.757) Data 2.576 (2.576) Loss 2.7908 (2.7908) Prec@1 42.969 (42.969) Prec@5 60.938 (60.938) Epoch: [17][10/10010] Time 0.315 (0.543) Data 0.001 (0.235) Loss 3.0700 (2.8877) Prec@1 32.031 (39.489) Prec@5 56.250 (62.642) Epoch: [17][20/10010] Time 0.328 (0.438) Data 0.000 (0.123) Loss 2.7820 (2.8412) Prec@1 42.969 (39.881) Prec@5 62.500 (63.839) Epoch: [17][30/10010] Time 0.320 (0.400) Data 0.001 (0.084) Loss 2.5805 (2.8210) Prec@1 45.312 (40.373) Prec@5 74.219 (65.071) Epoch: [17][40/10010] Time 0.329 (0.381) Data 0.000 (0.063) Loss 3.0441 (2.7985) Prec@1 34.375 (40.492) Prec@5 53.906 (65.396) Epoch: [17][50/10010] Time 0.350 (0.370) Data 0.001 (0.051) Loss 2.4101 (2.7716) Prec@1 44.531 (40.993) Prec@5 72.656 (65.931) Epoch: [17][60/10010] Time 0.324 (0.363) Data 0.000 (0.043) Loss 2.6458 (2.7652) Prec@1 39.062 (41.112) Prec@5 71.094 (66.035) Epoch: [17][70/10010] Time 0.320 (0.357) Data 0.000 (0.037) Loss 2.7765 (2.7387) Prec@1 43.750 (41.461) Prec@5 67.188 (66.406) Epoch: [17][80/10010] Time 0.328 (0.354) Data 0.000 (0.032) Loss 2.3396 (2.7249) Prec@1 47.656 (41.647) Prec@5 71.875 (66.551) Epoch: [17][90/10010] Time 0.341 (0.351) Data 0.001 (0.029) Loss 2.9102 (2.7254) Prec@1 36.719 (41.664) Prec@5 63.281 (66.604) Epoch: [17][100/10010] Time 0.325 (0.350) Data 0.000 (0.026) Loss 2.7344 (2.7303) Prec@1 37.500 (41.576) Prec@5 68.750 (66.491) Epoch: [17][110/10010] Time 0.325 (0.348) Data 0.000 (0.024) Loss 2.5891 (2.7202) Prec@1 46.094 (41.765) Prec@5 69.531 (66.624) Epoch: [17][120/10010] Time 0.337 (0.347) Data 0.001 (0.022) Loss 3.0153 (2.7121) Prec@1 37.500 (41.865) Prec@5 66.406 (66.884) Epoch: [17][130/10010] Time 0.339 (0.346) Data 0.001 (0.020) Loss 2.3193 (2.7060) Prec@1 47.656 (41.985) Prec@5 75.000 (66.991) Epoch: [17][140/10010] Time 0.337 (0.346) Data 0.001 (0.019) Loss 2.4246 (2.6967) Prec@1 49.219 (42.138) Prec@5 71.875 (67.093) Epoch: [17][150/10010] Time 0.328 (0.345) Data 0.000 (0.018) Loss 2.6481 (2.6925) Prec@1 40.625 (42.188) Prec@5 65.625 (67.069) Epoch: [17][160/10010] Time 0.340 (0.345) Data 0.001 (0.017) Loss 2.5390 (2.6902) Prec@1 43.750 (42.314) Prec@5 70.312 (67.158) Epoch: [17][170/10010] Time 0.341 (0.344) Data 0.001 (0.016) Loss 2.5669 (2.6864) Prec@1 47.656 (42.416) Prec@5 66.406 (67.256) Epoch: [17][180/10010] Time 0.330 (0.344) Data 0.001 (0.015) Loss 2.7263 (2.6862) Prec@1 42.188 (42.503) Prec@5 64.844 (67.235) Epoch: [17][190/10010] Time 0.324 (0.343) Data 0.001 (0.014) Loss 2.8386 (2.6801) Prec@1 40.625 (42.597) Prec@5 64.062 (67.372) Epoch: [17][200/10010] Time 0.340 (0.343) Data 0.001 (0.013) Loss 2.5448 (2.6804) Prec@1 45.312 (42.634) Prec@5 69.531 (67.327) Epoch: [17][210/10010] Time 0.346 (0.343) Data 0.000 (0.013) Loss 2.7232 (2.6779) Prec@1 39.844 (42.632) Prec@5 67.969 (67.387) Epoch: [17][220/10010] Time 0.332 (0.342) Data 0.001 (0.012) Loss 2.6644 (2.6733) Prec@1 42.969 (42.675) Prec@5 70.312 (67.513) Epoch: [17][230/10010] Time 0.342 (0.342) Data 0.000 (0.012) Loss 2.6078 (2.6763) Prec@1 49.219 (42.688) Prec@5 68.750 (67.482) Epoch: [17][240/10010] Time 0.334 (0.341) Data 0.001 (0.011) Loss 2.7707 (2.6750) Prec@1 40.625 (42.713) Prec@5 64.062 (67.457) Epoch: [17][250/10010] Time 0.321 (0.341) Data 0.001 (0.011) Loss 2.4610 (2.6762) Prec@1 50.000 (42.704) Prec@5 69.531 (67.415) Epoch: [17][260/10010] Time 0.341 (0.340) Data 0.000 (0.010) Loss 2.5254 (2.6736) Prec@1 41.406 (42.780) Prec@5 72.656 (67.481) Epoch: [17][270/10010] Time 0.337 (0.340) Data 0.001 (0.010) Loss 2.6768 (2.6748) Prec@1 41.406 (42.683) Prec@5 69.531 (67.453) Epoch: [17][280/10010] Time 0.347 (0.340) Data 0.001 (0.010) Loss 2.7453 (2.6759) Prec@1 39.844 (42.685) Prec@5 62.500 (67.429) Epoch: [17][290/10010] Time 0.349 (0.340) Data 0.000 (0.009) Loss 2.5421 (2.6754) Prec@1 45.312 (42.663) Prec@5 67.188 (67.418) Epoch: [17][300/10010] Time 0.328 (0.339) Data 0.000 (0.009) Loss 2.6369 (2.6738) Prec@1 46.094 (42.660) Prec@5 71.094 (67.494) Epoch: [17][310/10010] Time 0.329 (0.339) Data 0.000 (0.009) Loss 3.0467 (2.6754) Prec@1 37.500 (42.605) Prec@5 64.062 (67.454) Epoch: [17][320/10010] Time 0.342 (0.339) Data 0.000 (0.009) Loss 2.7450 (2.6740) Prec@1 37.500 (42.660) Prec@5 65.625 (67.433) Epoch: [17][330/10010] Time 0.325 (0.339) Data 0.001 (0.008) Loss 2.8946 (2.6733) Prec@1 38.281 (42.648) Prec@5 64.844 (67.459) Epoch: [17][340/10010] Time 0.343 (0.339) Data 0.001 (0.008) Loss 2.5462 (2.6726) Prec@1 41.406 (42.634) Prec@5 70.312 (67.467) Epoch: [17][350/10010] Time 0.336 (0.339) Data 0.000 (0.008) Loss 2.8964 (2.6759) Prec@1 37.500 (42.564) Prec@5 63.281 (67.448) Epoch: [17][360/10010] Time 0.332 (0.339) Data 0.001 (0.008) Loss 2.8986 (2.6777) Prec@1 40.625 (42.514) Prec@5 65.625 (67.408) Epoch: [17][370/10010] Time 0.326 (0.338) Data 0.001 (0.008) Loss 2.9944 (2.6798) Prec@1 39.844 (42.514) Prec@5 64.844 (67.381) Epoch: [17][380/10010] Time 0.340 (0.338) Data 0.001 (0.007) Loss 2.8114 (2.6834) Prec@1 40.625 (42.413) Prec@5 67.188 (67.345) Epoch: [17][390/10010] Time 0.327 (0.338) Data 0.000 (0.007) Loss 2.3359 (2.6799) Prec@1 45.312 (42.423) Prec@5 72.656 (67.403) Epoch: [17][400/10010] Time 0.328 (0.338) Data 0.001 (0.007) Loss 2.4561 (2.6808) Prec@1 45.312 (42.413) Prec@5 73.438 (67.404) Epoch: [17][410/10010] Time 0.326 (0.338) Data 0.000 (0.007) Loss 2.5955 (2.6811) Prec@1 42.188 (42.429) Prec@5 71.094 (67.389) Epoch: [17][420/10010] Time 0.323 (0.338) Data 0.001 (0.007) Loss 2.9099 (2.6835) Prec@1 35.938 (42.382) Prec@5 60.938 (67.364) Epoch: [17][430/10010] Time 0.342 (0.338) Data 0.000 (0.007) Loss 2.4832 (2.6845) Prec@1 47.656 (42.342) Prec@5 73.438 (67.358) Epoch: [17][440/10010] Time 0.341 (0.338) Data 0.000 (0.006) Loss 2.4358 (2.6848) Prec@1 49.219 (42.359) Prec@5 70.312 (67.361) Epoch: [17][450/10010] Time 0.324 (0.337) Data 0.001 (0.006) Loss 2.8220 (2.6861) Prec@1 33.594 (42.342) Prec@5 64.844 (67.335) Epoch: [17][460/10010] Time 0.333 (0.337) Data 0.000 (0.006) Loss 2.5863 (2.6844) Prec@1 41.406 (42.381) Prec@5 70.312 (67.342) Epoch: [17][470/10010] Time 0.320 (0.337) Data 0.001 (0.006) Loss 2.9400 (2.6841) Prec@1 37.500 (42.395) Prec@5 65.625 (67.335) Epoch: [17][480/10010] Time 0.324 (0.337) Data 0.000 (0.006) Loss 3.0002 (2.6844) Prec@1 37.500 (42.355) Prec@5 62.500 (67.335) Epoch: [17][490/10010] Time 0.339 (0.337) Data 0.000 (0.006) Loss 2.8075 (2.6851) Prec@1 39.844 (42.345) Prec@5 68.750 (67.308) Epoch: [17][500/10010] Time 0.314 (0.336) Data 0.001 (0.006) Loss 2.4408 (2.6838) Prec@1 46.094 (42.359) Prec@5 71.094 (67.331) Epoch: [17][510/10010] Time 0.323 (0.336) Data 0.001 (0.006) Loss 2.5238 (2.6833) Prec@1 44.531 (42.365) Prec@5 71.094 (67.327) Epoch: [17][520/10010] Time 0.335 (0.336) Data 0.000 (0.006) Loss 3.0300 (2.6813) Prec@1 42.188 (42.418) Prec@5 63.281 (67.333) Epoch: [17][530/10010] Time 0.327 (0.336) Data 0.001 (0.005) Loss 2.8104 (2.6818) Prec@1 42.188 (42.407) Prec@5 60.938 (67.311) Epoch: [17][540/10010] Time 0.339 (0.336) Data 0.000 (0.005) Loss 2.9323 (2.6828) Prec@1 40.625 (42.380) Prec@5 63.281 (67.281) Epoch: [17][550/10010] Time 0.334 (0.336) Data 0.001 (0.005) Loss 2.7509 (2.6829) Prec@1 42.188 (42.386) Prec@5 71.094 (67.314) Epoch: [17][560/10010] Time 0.340 (0.336) Data 0.001 (0.005) Loss 2.5132 (2.6826) Prec@1 42.188 (42.398) Prec@5 67.188 (67.316) Epoch: [17][570/10010] Time 0.325 (0.336) Data 0.001 (0.005) Loss 2.4911 (2.6806) Prec@1 48.438 (42.431) Prec@5 70.312 (67.341) Epoch: [17][580/10010] Time 0.330 (0.336) Data 0.000 (0.005) Loss 2.6880 (2.6822) Prec@1 42.188 (42.391) Prec@5 69.531 (67.291) Epoch: [17][590/10010] Time 0.321 (0.335) Data 0.000 (0.005) Loss 2.2942 (2.6812) Prec@1 53.906 (42.411) Prec@5 74.219 (67.322) Epoch: [17][600/10010] Time 0.336 (0.335) Data 0.000 (0.005) Loss 2.5240 (2.6800) Prec@1 46.875 (42.392) Prec@5 66.406 (67.323) Epoch: [17][610/10010] Time 0.344 (0.335) Data 0.000 (0.005) Loss 2.6093 (2.6798) Prec@1 43.750 (42.392) Prec@5 66.406 (67.331) Epoch: [17][620/10010] Time 0.324 (0.335) Data 0.001 (0.005) Loss 2.4585 (2.6776) Prec@1 49.219 (42.409) Prec@5 68.750 (67.352) Epoch: [17][630/10010] Time 0.340 (0.335) Data 0.000 (0.005) Loss 2.4322 (2.6777) Prec@1 45.312 (42.387) Prec@5 70.312 (67.356) Epoch: [17][640/10010] Time 0.343 (0.335) Data 0.000 (0.005) Loss 2.5580 (2.6768) Prec@1 40.625 (42.398) Prec@5 68.750 (67.373) Epoch: [17][650/10010] Time 0.328 (0.335) Data 0.000 (0.005) Loss 2.6652 (2.6773) Prec@1 44.531 (42.384) Prec@5 63.281 (67.336) Epoch: [17][660/10010] Time 0.341 (0.335) Data 0.001 (0.004) Loss 2.7040 (2.6776) Prec@1 42.969 (42.380) Prec@5 66.406 (67.338) Epoch: [17][670/10010] Time 0.338 (0.335) Data 0.001 (0.004) Loss 2.9390 (2.6795) Prec@1 39.062 (42.364) Prec@5 66.406 (67.309) Epoch: [17][680/10010] Time 0.332 (0.335) Data 0.000 (0.004) Loss 2.7158 (2.6797) Prec@1 42.969 (42.347) Prec@5 64.844 (67.313) Epoch: [17][690/10010] Time 0.317 (0.335) Data 0.001 (0.004) Loss 2.9825 (2.6807) Prec@1 40.625 (42.336) Prec@5 64.844 (67.308) Epoch: [17][700/10010] Time 0.329 (0.335) Data 0.001 (0.004) Loss 2.8066 (2.6790) Prec@1 42.969 (42.374) Prec@5 64.844 (67.342) Epoch: [17][710/10010] Time 0.328 (0.335) Data 0.001 (0.004) Loss 2.7462 (2.6786) Prec@1 35.938 (42.363) Prec@5 71.875 (67.338) Epoch: [17][720/10010] Time 0.324 (0.335) Data 0.001 (0.004) Loss 2.5767 (2.6783) Prec@1 39.844 (42.371) Prec@5 67.969 (67.335) Epoch: [17][730/10010] Time 0.339 (0.335) Data 0.000 (0.004) Loss 2.4299 (2.6775) Prec@1 50.781 (42.385) Prec@5 74.219 (67.351) Epoch: [17][740/10010] Time 0.321 (0.335) Data 0.001 (0.004) Loss 2.6568 (2.6785) Prec@1 46.875 (42.375) Prec@5 68.750 (67.330) Epoch: [17][750/10010] Time 0.342 (0.335) Data 0.001 (0.004) Loss 2.7903 (2.6781) Prec@1 35.156 (42.371) Prec@5 69.531 (67.344) Epoch: [17][760/10010] Time 0.331 (0.335) Data 0.000 (0.004) Loss 2.6786 (2.6801) Prec@1 46.094 (42.352) Prec@5 65.625 (67.319) Epoch: [17][770/10010] Time 0.320 (0.335) Data 0.000 (0.004) Loss 2.4995 (2.6810) Prec@1 46.094 (42.330) Prec@5 69.531 (67.309) Epoch: [17][780/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 2.4193 (2.6800) Prec@1 52.344 (42.358) Prec@5 71.875 (67.328) Epoch: [17][790/10010] Time 0.330 (0.334) Data 0.001 (0.004) Loss 2.5918 (2.6805) Prec@1 44.531 (42.328) Prec@5 69.531 (67.326) Epoch: [17][800/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.6129 (2.6796) Prec@1 44.531 (42.331) Prec@5 67.969 (67.327) Epoch: [17][810/10010] Time 0.323 (0.334) Data 0.001 (0.004) Loss 2.8281 (2.6789) Prec@1 35.938 (42.335) Prec@5 65.625 (67.331) Epoch: [17][820/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 2.6441 (2.6777) Prec@1 43.750 (42.363) Prec@5 67.188 (67.338) Epoch: [17][830/10010] Time 0.330 (0.334) Data 0.001 (0.004) Loss 2.7141 (2.6765) Prec@1 41.406 (42.376) Prec@5 64.844 (67.343) Epoch: [17][840/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 2.6335 (2.6756) Prec@1 38.281 (42.374) Prec@5 64.844 (67.362) Epoch: [17][850/10010] Time 0.335 (0.334) Data 0.000 (0.004) Loss 2.9910 (2.6759) Prec@1 37.500 (42.347) Prec@5 61.719 (67.344) Epoch: [17][860/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 2.5791 (2.6760) Prec@1 41.406 (42.332) Prec@5 70.312 (67.335) Epoch: [17][870/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.9575 (2.6760) Prec@1 34.375 (42.317) Prec@5 64.062 (67.363) /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: [17][880/10010] Time 0.346 (0.334) Data 0.001 (0.004) Loss 2.6492 (2.6770) Prec@1 42.969 (42.328) Prec@5 68.750 (67.352) Epoch: [17][890/10010] Time 0.329 (0.334) Data 0.000 (0.003) Loss 2.7390 (2.6766) Prec@1 44.531 (42.348) Prec@5 64.844 (67.368) Epoch: [17][900/10010] Time 0.328 (0.334) Data 0.000 (0.003) Loss 2.6065 (2.6762) Prec@1 41.406 (42.346) Prec@5 70.312 (67.390) Epoch: [17][910/10010] Time 0.322 (0.334) Data 0.000 (0.003) Loss 2.8637 (2.6756) Prec@1 37.500 (42.336) Prec@5 67.969 (67.410) Epoch: [17][920/10010] Time 0.332 (0.334) Data 0.001 (0.003) Loss 2.6842 (2.6767) Prec@1 42.969 (42.327) Prec@5 67.969 (67.383) Epoch: [17][930/10010] Time 0.334 (0.334) Data 0.001 (0.003) Loss 2.7722 (2.6775) Prec@1 35.156 (42.318) Prec@5 64.062 (67.368) Epoch: [17][940/10010] Time 0.338 (0.334) Data 0.000 (0.003) Loss 3.0102 (2.6777) Prec@1 35.938 (42.309) Prec@5 60.938 (67.371) Epoch: [17][950/10010] Time 0.343 (0.334) Data 0.001 (0.003) Loss 2.3969 (2.6770) Prec@1 46.094 (42.316) Prec@5 70.312 (67.384) Epoch: [17][960/10010] Time 0.317 (0.334) Data 0.001 (0.003) Loss 2.2247 (2.6761) Prec@1 50.781 (42.342) Prec@5 78.125 (67.401) Epoch: [17][970/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 2.5579 (2.6755) Prec@1 37.500 (42.348) Prec@5 73.438 (67.413) Epoch: [17][980/10010] Time 0.319 (0.334) Data 0.000 (0.003) Loss 2.6766 (2.6758) Prec@1 41.406 (42.330) Prec@5 66.406 (67.410) Epoch: [17][990/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 2.1413 (2.6767) Prec@1 55.469 (42.326) Prec@5 73.438 (67.403) Epoch: [17][1000/10010] Time 0.333 (0.334) Data 0.000 (0.003) Loss 2.7831 (2.6762) Prec@1 42.188 (42.358) Prec@5 70.312 (67.411) Epoch: [17][1010/10010] Time 0.320 (0.334) Data 0.001 (0.003) Loss 2.5670 (2.6759) Prec@1 42.188 (42.353) Prec@5 70.312 (67.419) Epoch: [17][1020/10010] Time 0.319 (0.334) Data 0.000 (0.003) Loss 2.6065 (2.6766) Prec@1 46.094 (42.353) Prec@5 68.750 (67.414) Epoch: [17][1030/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.5057 (2.6774) Prec@1 41.406 (42.341) Prec@5 67.188 (67.411) Epoch: [17][1040/10010] Time 0.337 (0.334) Data 0.001 (0.003) Loss 2.3683 (2.6773) Prec@1 46.094 (42.355) Prec@5 72.656 (67.428) Epoch: [17][1050/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 2.2150 (2.6768) Prec@1 43.750 (42.359) Prec@5 75.000 (67.431) Epoch: [17][1060/10010] Time 0.311 (0.334) Data 0.001 (0.003) Loss 2.5547 (2.6755) Prec@1 37.500 (42.379) Prec@5 67.188 (67.437) Epoch: [17][1070/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.7116 (2.6757) Prec@1 38.281 (42.371) Prec@5 71.094 (67.436) Epoch: [17][1080/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 2.6245 (2.6750) Prec@1 42.969 (42.375) Prec@5 68.750 (67.453) Epoch: [17][1090/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.4602 (2.6751) Prec@1 50.000 (42.359) Prec@5 71.875 (67.457) Epoch: [17][1100/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.7013 (2.6744) Prec@1 42.188 (42.363) Prec@5 68.750 (67.481) Epoch: [17][1110/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.8962 (2.6744) Prec@1 41.406 (42.370) Prec@5 64.062 (67.475) Epoch: [17][1120/10010] Time 0.344 (0.333) Data 0.000 (0.003) Loss 2.8058 (2.6755) Prec@1 37.500 (42.349) Prec@5 66.406 (67.452) Epoch: [17][1130/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.7141 (2.6756) Prec@1 44.531 (42.353) Prec@5 70.312 (67.458) Epoch: [17][1140/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.8347 (2.6754) Prec@1 39.844 (42.362) Prec@5 66.406 (67.456) Epoch: [17][1150/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.7992 (2.6749) Prec@1 41.406 (42.387) Prec@5 70.312 (67.472) Epoch: [17][1160/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.9376 (2.6749) Prec@1 34.375 (42.381) Prec@5 62.500 (67.464) Epoch: [17][1170/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.6942 (2.6750) Prec@1 45.312 (42.386) Prec@5 67.188 (67.476) Epoch: [17][1180/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.6605 (2.6751) Prec@1 39.062 (42.384) Prec@5 69.531 (67.475) Epoch: [17][1190/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.8707 (2.6747) Prec@1 36.719 (42.394) Prec@5 64.062 (67.492) Epoch: [17][1200/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.4606 (2.6748) Prec@1 41.406 (42.368) Prec@5 72.656 (67.479) Epoch: [17][1210/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 3.0619 (2.6753) Prec@1 39.062 (42.367) Prec@5 64.062 (67.476) Epoch: [17][1220/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.8489 (2.6758) Prec@1 43.750 (42.366) Prec@5 67.188 (67.464) Epoch: [17][1230/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 2.4576 (2.6759) Prec@1 46.094 (42.370) Prec@5 75.000 (67.464) Epoch: [17][1240/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 2.5906 (2.6758) Prec@1 41.406 (42.373) Prec@5 72.656 (67.465) Epoch: [17][1250/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.5502 (2.6759) Prec@1 47.656 (42.390) Prec@5 68.750 (67.455) Epoch: [17][1260/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.9460 (2.6762) Prec@1 41.406 (42.396) Prec@5 64.062 (67.457) Epoch: [17][1270/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.7216 (2.6761) Prec@1 40.625 (42.392) Prec@5 64.062 (67.452) Epoch: [17][1280/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 2.4527 (2.6763) Prec@1 43.750 (42.395) Prec@5 69.531 (67.448) Epoch: [17][1290/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 2.4558 (2.6764) Prec@1 42.188 (42.390) Prec@5 73.438 (67.451) Epoch: [17][1300/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.5380 (2.6766) Prec@1 40.625 (42.379) Prec@5 68.750 (67.454) Epoch: [17][1310/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 2.5826 (2.6769) Prec@1 44.531 (42.363) Prec@5 67.188 (67.459) Epoch: [17][1320/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 2.3275 (2.6770) Prec@1 50.781 (42.379) Prec@5 71.875 (67.461) Epoch: [17][1330/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 3.1075 (2.6777) Prec@1 34.375 (42.354) Prec@5 60.938 (67.443) /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: [17][1340/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.9364 (2.6782) Prec@1 39.062 (42.347) Prec@5 65.625 (67.441) Epoch: [17][1350/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 3.0197 (2.6784) Prec@1 36.719 (42.352) Prec@5 64.062 (67.436) Epoch: [17][1360/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.5559 (2.6780) Prec@1 50.000 (42.369) Prec@5 68.750 (67.445) Epoch: [17][1370/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.4376 (2.6777) Prec@1 45.312 (42.384) Prec@5 67.969 (67.445) Epoch: [17][1380/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.3511 (2.6771) Prec@1 46.094 (42.392) Prec@5 76.562 (67.453) Epoch: [17][1390/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.5978 (2.6774) Prec@1 44.531 (42.372) Prec@5 64.062 (67.440) Epoch: [17][1400/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.7438 (2.6774) Prec@1 44.531 (42.369) Prec@5 68.750 (67.438) Epoch: [17][1410/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.6898 (2.6772) Prec@1 45.312 (42.372) Prec@5 69.531 (67.442) Epoch: [17][1420/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.4162 (2.6767) Prec@1 50.000 (42.385) Prec@5 70.312 (67.454) Epoch: [17][1430/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.7705 (2.6774) Prec@1 43.750 (42.376) Prec@5 61.719 (67.438) Epoch: [17][1440/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.2863 (2.6768) Prec@1 50.000 (42.381) Prec@5 76.562 (67.448) Epoch: [17][1450/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.6782 (2.6762) Prec@1 44.531 (42.387) Prec@5 68.750 (67.467) Epoch: [17][1460/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.5707 (2.6760) Prec@1 45.312 (42.389) Prec@5 68.750 (67.462) Epoch: [17][1470/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.4574 (2.6761) Prec@1 42.969 (42.385) Prec@5 71.094 (67.451) Epoch: [17][1480/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 3.2450 (2.6769) Prec@1 36.719 (42.376) Prec@5 59.375 (67.438) Epoch: [17][1490/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.5729 (2.6779) Prec@1 45.312 (42.368) Prec@5 70.312 (67.425) Epoch: [17][1500/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.3910 (2.6775) Prec@1 42.969 (42.364) Prec@5 74.219 (67.435) Epoch: [17][1510/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.4079 (2.6775) Prec@1 46.094 (42.361) Prec@5 71.875 (67.430) Epoch: [17][1520/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.8218 (2.6773) Prec@1 41.406 (42.370) Prec@5 60.938 (67.428) Epoch: [17][1530/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 3.0193 (2.6772) Prec@1 37.500 (42.365) Prec@5 62.500 (67.435) Epoch: [17][1540/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 3.0164 (2.6771) Prec@1 40.625 (42.362) Prec@5 64.844 (67.441) Epoch: [17][1550/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.3141 (2.6769) Prec@1 49.219 (42.362) Prec@5 74.219 (67.432) Epoch: [17][1560/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.7859 (2.6766) Prec@1 35.938 (42.365) Prec@5 67.969 (67.441) Epoch: [17][1570/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.6849 (2.6769) Prec@1 42.969 (42.351) Prec@5 64.844 (67.434) Epoch: [17][1580/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.5298 (2.6770) Prec@1 43.750 (42.354) Prec@5 68.750 (67.424) Epoch: [17][1590/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.9362 (2.6776) Prec@1 39.062 (42.349) Prec@5 62.500 (67.411) Epoch: [17][1600/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.6791 (2.6776) Prec@1 43.750 (42.350) Prec@5 67.969 (67.410) Epoch: [17][1610/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.7994 (2.6782) Prec@1 39.844 (42.335) Prec@5 63.281 (67.396) Epoch: [17][1620/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.7294 (2.6785) Prec@1 38.281 (42.325) Prec@5 66.406 (67.389) Epoch: [17][1630/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.6879 (2.6783) Prec@1 50.000 (42.322) Prec@5 64.062 (67.393) Epoch: [17][1640/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.6318 (2.6786) Prec@1 45.312 (42.329) Prec@5 70.312 (67.389) Epoch: [17][1650/10010] Time 0.347 (0.333) Data 0.000 (0.002) Loss 2.6202 (2.6783) Prec@1 40.625 (42.334) Prec@5 68.750 (67.390) Epoch: [17][1660/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.5063 (2.6779) Prec@1 46.875 (42.344) Prec@5 68.750 (67.394) Epoch: [17][1670/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.5224 (2.6773) Prec@1 46.875 (42.356) Prec@5 71.875 (67.406) Epoch: [17][1680/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.7821 (2.6772) Prec@1 42.969 (42.357) Prec@5 67.969 (67.406) Epoch: [17][1690/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.6035 (2.6772) Prec@1 42.969 (42.347) Prec@5 68.750 (67.400) Epoch: [17][1700/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.8648 (2.6770) Prec@1 40.625 (42.341) Prec@5 65.625 (67.404) Epoch: [17][1710/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.4950 (2.6768) Prec@1 50.000 (42.348) Prec@5 71.094 (67.403) Epoch: [17][1720/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.6209 (2.6764) Prec@1 46.094 (42.356) Prec@5 64.844 (67.408) Epoch: [17][1730/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.0492 (2.6763) Prec@1 50.781 (42.360) Prec@5 78.125 (67.408) Epoch: [17][1740/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.3877 (2.6766) Prec@1 43.750 (42.347) Prec@5 70.312 (67.400) Epoch: [17][1750/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.5929 (2.6775) Prec@1 43.750 (42.346) Prec@5 67.969 (67.385) Epoch: [17][1760/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.6083 (2.6775) Prec@1 44.531 (42.349) Prec@5 65.625 (67.384) Epoch: [17][1770/10010] Time 0.318 (0.333) Data 0.000 (0.002) Loss 2.5601 (2.6766) Prec@1 42.969 (42.367) Prec@5 70.312 (67.401) Epoch: [17][1780/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.8830 (2.6773) Prec@1 39.844 (42.358) Prec@5 63.281 (67.392) Epoch: [17][1790/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.5582 (2.6772) Prec@1 42.188 (42.359) Prec@5 71.875 (67.399) Epoch: [17][1800/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.3679 (2.6768) Prec@1 42.188 (42.358) Prec@5 72.656 (67.400) Epoch: [17][1810/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.6601 (2.6763) Prec@1 42.969 (42.363) Prec@5 64.844 (67.405) Epoch: [17][1820/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.8957 (2.6762) Prec@1 35.938 (42.375) Prec@5 61.719 (67.404) Epoch: [17][1830/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 2.4046 (2.6762) Prec@1 41.406 (42.377) Prec@5 75.781 (67.407) Epoch: [17][1840/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.6979 (2.6760) Prec@1 41.406 (42.371) Prec@5 64.844 (67.410) Epoch: [17][1850/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.4925 (2.6757) Prec@1 43.750 (42.378) Prec@5 66.406 (67.405) Epoch: [17][1860/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.3429 (2.6760) Prec@1 49.219 (42.378) Prec@5 73.438 (67.401) Epoch: [17][1870/10010] Time 0.318 (0.333) Data 0.000 (0.002) Loss 2.7618 (2.6764) Prec@1 40.625 (42.369) Prec@5 66.406 (67.395) Epoch: [17][1880/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.5354 (2.6766) Prec@1 38.281 (42.360) Prec@5 68.750 (67.389) Epoch: [17][1890/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.5556 (2.6763) Prec@1 43.750 (42.365) Prec@5 67.969 (67.394) Epoch: [17][1900/10010] Time 0.317 (0.333) Data 0.000 (0.002) Loss 2.5083 (2.6768) Prec@1 42.188 (42.357) Prec@5 69.531 (67.386) Epoch: [17][1910/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 3.0617 (2.6768) Prec@1 39.062 (42.348) Prec@5 65.625 (67.392) Epoch: [17][1920/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.8833 (2.6772) Prec@1 39.062 (42.340) Prec@5 60.938 (67.377) Epoch: [17][1930/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 3.1210 (2.6771) Prec@1 37.500 (42.349) Prec@5 63.281 (67.379) Epoch: [17][1940/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.2094 (2.6773) Prec@1 48.438 (42.344) Prec@5 74.219 (67.377) Epoch: [17][1950/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.8436 (2.6773) Prec@1 39.062 (42.348) Prec@5 67.188 (67.376) Epoch: [17][1960/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.7154 (2.6767) Prec@1 47.656 (42.357) Prec@5 63.281 (67.384) Epoch: [17][1970/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 2.9874 (2.6765) Prec@1 32.812 (42.359) Prec@5 64.844 (67.384) Epoch: [17][1980/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.7188 (2.6768) Prec@1 42.969 (42.351) Prec@5 71.094 (67.379) Epoch: [17][1990/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.9768 (2.6770) Prec@1 42.969 (42.349) Prec@5 64.844 (67.381) Epoch: [17][2000/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 3.0217 (2.6770) Prec@1 37.500 (42.345) Prec@5 60.156 (67.379) Epoch: [17][2010/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.9452 (2.6769) Prec@1 36.719 (42.338) Prec@5 64.844 (67.384) Epoch: [17][2020/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.9259 (2.6768) Prec@1 40.625 (42.339) Prec@5 63.281 (67.383) Epoch: [17][2030/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.6309 (2.6770) Prec@1 42.188 (42.337) Prec@5 66.406 (67.373) Epoch: [17][2040/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.7956 (2.6773) Prec@1 39.844 (42.338) Prec@5 64.844 (67.370) Epoch: [17][2050/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.7625 (2.6776) Prec@1 36.719 (42.330) Prec@5 66.406 (67.363) Epoch: [17][2060/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.2992 (2.6780) Prec@1 49.219 (42.324) Prec@5 75.000 (67.350) Epoch: [17][2070/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.4841 (2.6782) Prec@1 41.406 (42.313) Prec@5 73.438 (67.345) Epoch: [17][2080/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.0964 (2.6779) Prec@1 46.875 (42.311) Prec@5 78.906 (67.352) Epoch: [17][2090/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.8916 (2.6782) Prec@1 43.750 (42.310) Prec@5 62.500 (67.346) Epoch: [17][2100/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 3.0907 (2.6778) Prec@1 39.844 (42.320) Prec@5 59.375 (67.347) Epoch: [17][2110/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8613 (2.6775) Prec@1 36.719 (42.324) Prec@5 63.281 (67.353) Epoch: [17][2120/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.5453 (2.6769) Prec@1 43.750 (42.332) Prec@5 73.438 (67.374) Epoch: [17][2130/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.7602 (2.6771) Prec@1 39.844 (42.327) Prec@5 66.406 (67.377) Epoch: [17][2140/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.7042 (2.6775) Prec@1 40.625 (42.317) Prec@5 65.625 (67.364) Epoch: [17][2150/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.3431 (2.6774) Prec@1 47.656 (42.323) Prec@5 71.875 (67.365) Epoch: [17][2160/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.8491 (2.6772) Prec@1 39.062 (42.333) Prec@5 62.500 (67.363) Epoch: [17][2170/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.4515 (2.6766) Prec@1 46.875 (42.338) Prec@5 67.969 (67.369) Epoch: [17][2180/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.7086 (2.6766) Prec@1 38.281 (42.338) Prec@5 64.062 (67.377) Epoch: [17][2190/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.7709 (2.6765) Prec@1 40.625 (42.334) Prec@5 63.281 (67.381) Epoch: [17][2200/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.9141 (2.6767) Prec@1 40.625 (42.331) Prec@5 62.500 (67.381) Epoch: [17][2210/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.6104 (2.6766) Prec@1 40.625 (42.329) Prec@5 62.500 (67.381) Epoch: [17][2220/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.7646 (2.6766) Prec@1 43.750 (42.326) Prec@5 61.719 (67.377) Epoch: [17][2230/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 3.0297 (2.6762) Prec@1 35.156 (42.330) Prec@5 60.938 (67.381) Epoch: [17][2240/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.5487 (2.6769) Prec@1 53.906 (42.325) Prec@5 72.656 (67.369) Epoch: [17][2250/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.8341 (2.6771) Prec@1 39.062 (42.317) Prec@5 64.062 (67.363) Epoch: [17][2260/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.5501 (2.6774) Prec@1 42.188 (42.316) Prec@5 71.094 (67.362) Epoch: [17][2270/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.5648 (2.6774) Prec@1 45.312 (42.317) Prec@5 73.438 (67.365) Epoch: [17][2280/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.3787 (2.6773) Prec@1 42.969 (42.317) Prec@5 72.656 (67.363) Epoch: [17][2290/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.3832 (2.6776) Prec@1 48.438 (42.318) Prec@5 74.219 (67.358) Epoch: [17][2300/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.2958 (2.6770) Prec@1 46.875 (42.333) Prec@5 76.562 (67.372) Epoch: [17][2310/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.8056 (2.6773) Prec@1 46.875 (42.333) Prec@5 66.406 (67.370) Epoch: [17][2320/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.7035 (2.6775) Prec@1 39.844 (42.327) Prec@5 63.281 (67.363) Epoch: [17][2330/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.7338 (2.6773) Prec@1 42.969 (42.327) Prec@5 72.656 (67.371) Epoch: [17][2340/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.6977 (2.6773) Prec@1 42.969 (42.323) Prec@5 69.531 (67.372) Epoch: [17][2350/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.9406 (2.6767) Prec@1 36.719 (42.331) Prec@5 60.156 (67.385) Epoch: [17][2360/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.5129 (2.6766) Prec@1 47.656 (42.339) Prec@5 69.531 (67.384) Epoch: [17][2370/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.7736 (2.6765) Prec@1 36.719 (42.331) Prec@5 64.844 (67.383) Epoch: [17][2380/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 3.1092 (2.6769) Prec@1 36.719 (42.330) Prec@5 63.281 (67.377) Epoch: [17][2390/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5347 (2.6769) Prec@1 44.531 (42.330) Prec@5 64.844 (67.380) Epoch: [17][2400/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.3824 (2.6766) Prec@1 45.312 (42.330) Prec@5 71.875 (67.383) Epoch: [17][2410/10010] Time 0.313 (0.332) Data 0.000 (0.002) Loss 2.5791 (2.6768) Prec@1 40.625 (42.329) Prec@5 70.312 (67.379) Epoch: [17][2420/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.9607 (2.6768) Prec@1 40.625 (42.335) Prec@5 57.812 (67.377) Epoch: [17][2430/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.5253 (2.6771) Prec@1 46.094 (42.329) Prec@5 67.969 (67.376) Epoch: [17][2440/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.9809 (2.6771) Prec@1 46.094 (42.330) Prec@5 58.594 (67.376) Epoch: [17][2450/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.8498 (2.6769) Prec@1 42.188 (42.333) Prec@5 64.062 (67.377) Epoch: [17][2460/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.6421 (2.6768) Prec@1 39.062 (42.333) Prec@5 69.531 (67.376) Epoch: [17][2470/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.7745 (2.6764) Prec@1 43.750 (42.334) Prec@5 65.625 (67.385) Epoch: [17][2480/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.3665 (2.6768) Prec@1 46.875 (42.330) Prec@5 72.656 (67.379) Epoch: [17][2490/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.7933 (2.6771) Prec@1 38.281 (42.325) Prec@5 61.719 (67.378) Epoch: [17][2500/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.5414 (2.6770) Prec@1 47.656 (42.328) Prec@5 71.875 (67.381) Epoch: [17][2510/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.5849 (2.6770) Prec@1 45.312 (42.329) Prec@5 67.969 (67.380) Epoch: [17][2520/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 2.8657 (2.6766) Prec@1 35.938 (42.327) Prec@5 62.500 (67.388) Epoch: [17][2530/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6930 (2.6767) Prec@1 41.406 (42.335) Prec@5 65.625 (67.388) Epoch: [17][2540/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.7135 (2.6768) Prec@1 46.875 (42.335) Prec@5 67.969 (67.387) Epoch: [17][2550/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5605 (2.6763) Prec@1 40.625 (42.339) Prec@5 67.969 (67.389) Epoch: [17][2560/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.3554 (2.6760) Prec@1 46.875 (42.345) Prec@5 74.219 (67.397) Epoch: [17][2570/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.3900 (2.6761) Prec@1 46.094 (42.343) Prec@5 71.875 (67.390) Epoch: [17][2580/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.4242 (2.6763) Prec@1 48.438 (42.337) Prec@5 70.312 (67.382) Epoch: [17][2590/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.7631 (2.6762) Prec@1 42.969 (42.337) Prec@5 67.188 (67.390) Epoch: [17][2600/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5153 (2.6762) Prec@1 42.969 (42.333) Prec@5 71.094 (67.386) Epoch: [17][2610/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.5597 (2.6762) Prec@1 42.188 (42.331) Prec@5 72.656 (67.387) Epoch: [17][2620/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7373 (2.6762) Prec@1 45.312 (42.333) Prec@5 61.719 (67.388) Epoch: [17][2630/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5048 (2.6758) Prec@1 42.969 (42.340) Prec@5 71.094 (67.392) Epoch: [17][2640/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5681 (2.6756) Prec@1 46.875 (42.345) Prec@5 69.531 (67.395) Epoch: [17][2650/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5563 (2.6755) Prec@1 41.406 (42.344) Prec@5 68.750 (67.397) Epoch: [17][2660/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.6849 (2.6756) Prec@1 50.000 (42.349) Prec@5 69.531 (67.399) Epoch: [17][2670/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.7151 (2.6761) Prec@1 40.625 (42.343) Prec@5 64.844 (67.391) Epoch: [17][2680/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 3.2364 (2.6763) Prec@1 32.031 (42.340) Prec@5 55.469 (67.385) Epoch: [17][2690/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.2929 (2.6761) Prec@1 46.094 (42.341) Prec@5 75.781 (67.386) Epoch: [17][2700/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.1721 (2.6760) Prec@1 48.438 (42.344) Prec@5 74.219 (67.387) Epoch: [17][2710/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.7170 (2.6758) Prec@1 46.094 (42.348) Prec@5 66.406 (67.390) Epoch: [17][2720/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.5434 (2.6756) Prec@1 42.969 (42.353) Prec@5 71.875 (67.395) Epoch: [17][2730/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.7329 (2.6755) Prec@1 36.719 (42.360) Prec@5 65.625 (67.399) Epoch: [17][2740/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.9103 (2.6759) Prec@1 37.500 (42.361) Prec@5 64.844 (67.395) Epoch: [17][2750/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.4706 (2.6762) Prec@1 51.562 (42.362) Prec@5 67.969 (67.390) Epoch: [17][2760/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7130 (2.6764) Prec@1 37.500 (42.359) Prec@5 64.844 (67.387) Epoch: [17][2770/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7066 (2.6765) Prec@1 37.500 (42.354) Prec@5 66.406 (67.388) Epoch: [17][2780/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.7032 (2.6764) Prec@1 41.406 (42.360) Prec@5 65.625 (67.385) Epoch: [17][2790/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.4841 (2.6763) Prec@1 46.875 (42.355) Prec@5 68.750 (67.387) Epoch: [17][2800/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.7106 (2.6760) Prec@1 47.656 (42.359) Prec@5 64.844 (67.390) Epoch: [17][2810/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.4345 (2.6761) Prec@1 44.531 (42.356) Prec@5 72.656 (67.388) Epoch: [17][2820/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7810 (2.6757) Prec@1 42.188 (42.368) Prec@5 66.406 (67.397) Epoch: [17][2830/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0711 (2.6755) Prec@1 53.125 (42.375) Prec@5 78.125 (67.397) Epoch: [17][2840/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8724 (2.6757) Prec@1 40.625 (42.369) Prec@5 69.531 (67.400) Epoch: [17][2850/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8549 (2.6757) Prec@1 42.188 (42.366) Prec@5 63.281 (67.401) Epoch: [17][2860/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8709 (2.6760) Prec@1 34.375 (42.357) Prec@5 60.938 (67.392) Epoch: [17][2870/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9541 (2.6760) Prec@1 38.281 (42.358) Prec@5 59.375 (67.393) Epoch: [17][2880/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5175 (2.6764) Prec@1 45.312 (42.350) Prec@5 69.531 (67.387) Epoch: [17][2890/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9168 (2.6764) Prec@1 35.938 (42.349) Prec@5 63.281 (67.386) Epoch: [17][2900/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7228 (2.6766) Prec@1 38.281 (42.346) Prec@5 66.406 (67.386) Epoch: [17][2910/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6996 (2.6765) Prec@1 42.969 (42.343) Prec@5 66.406 (67.386) Epoch: [17][2920/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9424 (2.6764) Prec@1 36.719 (42.341) Prec@5 62.500 (67.388) Epoch: [17][2930/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6864 (2.6760) Prec@1 41.406 (42.348) Prec@5 66.406 (67.394) Epoch: [17][2940/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6049 (2.6760) Prec@1 43.750 (42.343) Prec@5 64.062 (67.388) Epoch: [17][2950/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5087 (2.6763) Prec@1 43.750 (42.338) Prec@5 69.531 (67.387) Epoch: [17][2960/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5286 (2.6759) Prec@1 46.094 (42.346) Prec@5 73.438 (67.396) Epoch: [17][2970/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.3281 (2.6758) Prec@1 46.875 (42.347) Prec@5 69.531 (67.400) Epoch: [17][2980/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.3787 (2.6758) Prec@1 46.875 (42.342) Prec@5 72.656 (67.399) Epoch: [17][2990/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6618 (2.6755) Prec@1 38.281 (42.349) Prec@5 67.969 (67.405) Epoch: [17][3000/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9483 (2.6760) Prec@1 35.938 (42.341) Prec@5 64.062 (67.400) Epoch: [17][3010/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6964 (2.6758) Prec@1 39.062 (42.343) Prec@5 65.625 (67.401) Epoch: [17][3020/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4902 (2.6759) Prec@1 44.531 (42.340) Prec@5 68.750 (67.396) Epoch: [17][3030/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 3.1260 (2.6763) Prec@1 35.156 (42.332) Prec@5 58.594 (67.390) Epoch: [17][3040/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8668 (2.6763) Prec@1 44.531 (42.328) Prec@5 64.844 (67.393) Epoch: [17][3050/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5617 (2.6766) Prec@1 41.406 (42.322) Prec@5 68.750 (67.388) Epoch: [17][3060/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6091 (2.6763) Prec@1 42.969 (42.325) Prec@5 69.531 (67.397) Epoch: [17][3070/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6175 (2.6762) Prec@1 41.406 (42.321) Prec@5 67.188 (67.396) Epoch: [17][3080/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7145 (2.6762) Prec@1 46.094 (42.326) Prec@5 64.062 (67.395) Epoch: [17][3090/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7879 (2.6762) Prec@1 34.375 (42.331) Prec@5 65.625 (67.395) Epoch: [17][3100/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6056 (2.6764) Prec@1 43.750 (42.330) Prec@5 68.750 (67.394) Epoch: [17][3110/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6552 (2.6765) Prec@1 44.531 (42.329) Prec@5 66.406 (67.397) Epoch: [17][3120/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.5784 (2.6762) Prec@1 46.875 (42.334) Prec@5 71.094 (67.408) Epoch: [17][3130/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.4706 (2.6761) Prec@1 47.656 (42.336) Prec@5 71.875 (67.409) Epoch: [17][3140/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5323 (2.6762) Prec@1 46.875 (42.335) Prec@5 71.094 (67.405) Epoch: [17][3150/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 3.1281 (2.6768) Prec@1 35.156 (42.327) Prec@5 60.938 (67.398) Epoch: [17][3160/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6083 (2.6764) Prec@1 43.750 (42.330) Prec@5 63.281 (67.405) Epoch: [17][3170/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.4207 (2.6766) Prec@1 43.750 (42.321) Prec@5 73.438 (67.402) Epoch: [17][3180/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.2864 (2.6767) Prec@1 32.812 (42.317) Prec@5 57.812 (67.400) Epoch: [17][3190/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.3595 (2.6767) Prec@1 42.969 (42.322) Prec@5 72.656 (67.402) Epoch: [17][3200/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5365 (2.6768) Prec@1 44.531 (42.321) Prec@5 65.625 (67.401) Epoch: [17][3210/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4478 (2.6765) Prec@1 42.969 (42.325) Prec@5 69.531 (67.404) Epoch: [17][3220/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6627 (2.6764) Prec@1 41.406 (42.331) Prec@5 70.312 (67.407) Epoch: [17][3230/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7554 (2.6763) Prec@1 43.750 (42.333) Prec@5 64.062 (67.407) Epoch: [17][3240/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0341 (2.6764) Prec@1 34.375 (42.328) Prec@5 56.250 (67.406) Epoch: [17][3250/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8760 (2.6767) Prec@1 42.188 (42.325) Prec@5 62.500 (67.400) Epoch: [17][3260/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9704 (2.6767) Prec@1 36.719 (42.326) Prec@5 59.375 (67.397) Epoch: [17][3270/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4430 (2.6769) Prec@1 44.531 (42.326) Prec@5 71.875 (67.395) Epoch: [17][3280/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6703 (2.6769) Prec@1 44.531 (42.326) Prec@5 71.875 (67.393) Epoch: [17][3290/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7847 (2.6769) Prec@1 44.531 (42.329) Prec@5 66.406 (67.392) Epoch: [17][3300/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5187 (2.6769) Prec@1 46.094 (42.334) Prec@5 68.750 (67.393) Epoch: [17][3310/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7069 (2.6772) Prec@1 42.188 (42.325) Prec@5 74.219 (67.392) Epoch: [17][3320/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5366 (2.6772) Prec@1 37.500 (42.323) Prec@5 68.750 (67.390) Epoch: [17][3330/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.2566 (2.6770) Prec@1 50.781 (42.330) Prec@5 75.781 (67.393) Epoch: [17][3340/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5947 (2.6769) Prec@1 43.750 (42.330) Prec@5 70.312 (67.397) Epoch: [17][3350/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8178 (2.6769) Prec@1 36.719 (42.330) Prec@5 64.844 (67.397) Epoch: [17][3360/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6556 (2.6767) Prec@1 40.625 (42.332) Prec@5 70.312 (67.397) Epoch: [17][3370/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8175 (2.6767) Prec@1 41.406 (42.330) Prec@5 69.531 (67.399) Epoch: [17][3380/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.0903 (2.6772) Prec@1 24.219 (42.317) Prec@5 62.500 (67.395) Epoch: [17][3390/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.9314 (2.6773) Prec@1 37.500 (42.312) Prec@5 63.281 (67.393) Epoch: [17][3400/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.5405 (2.6777) Prec@1 44.531 (42.305) Prec@5 71.094 (67.384) Epoch: [17][3410/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0438 (2.6776) Prec@1 33.594 (42.308) Prec@5 60.938 (67.386) Epoch: [17][3420/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6018 (2.6777) Prec@1 45.312 (42.309) Prec@5 71.875 (67.381) Epoch: [17][3430/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.7435 (2.6779) Prec@1 39.062 (42.305) Prec@5 67.969 (67.376) Epoch: [17][3440/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9486 (2.6781) Prec@1 38.281 (42.298) Prec@5 64.062 (67.370) Epoch: [17][3450/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5524 (2.6780) Prec@1 43.750 (42.296) Prec@5 71.094 (67.371) Epoch: [17][3460/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8218 (2.6779) Prec@1 46.094 (42.296) Prec@5 64.062 (67.373) Epoch: [17][3470/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6451 (2.6777) Prec@1 43.750 (42.302) Prec@5 67.188 (67.375) Epoch: [17][3480/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.4761 (2.6777) Prec@1 46.875 (42.298) Prec@5 71.094 (67.374) Epoch: [17][3490/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4953 (2.6773) Prec@1 48.438 (42.303) Prec@5 71.875 (67.380) Epoch: [17][3500/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.8147 (2.6773) Prec@1 40.625 (42.302) Prec@5 70.312 (67.385) Epoch: [17][3510/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7889 (2.6776) Prec@1 42.188 (42.299) Prec@5 70.312 (67.381) Epoch: [17][3520/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7664 (2.6775) Prec@1 39.062 (42.302) Prec@5 66.406 (67.380) Epoch: [17][3530/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9624 (2.6774) Prec@1 35.938 (42.304) Prec@5 60.938 (67.381) Epoch: [17][3540/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8964 (2.6777) Prec@1 39.844 (42.298) Prec@5 68.750 (67.381) Epoch: [17][3550/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9592 (2.6777) Prec@1 36.719 (42.298) Prec@5 60.938 (67.380) Epoch: [17][3560/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6806 (2.6777) Prec@1 44.531 (42.301) Prec@5 64.844 (67.384) Epoch: [17][3570/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4996 (2.6775) Prec@1 46.094 (42.308) Prec@5 66.406 (67.387) Epoch: [17][3580/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8931 (2.6777) Prec@1 39.062 (42.306) Prec@5 62.500 (67.379) Epoch: [17][3590/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6817 (2.6775) Prec@1 42.188 (42.315) Prec@5 67.969 (67.383) Epoch: [17][3600/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.8989 (2.6773) Prec@1 39.062 (42.320) Prec@5 65.625 (67.386) Epoch: [17][3610/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.8268 (2.6775) Prec@1 39.844 (42.316) Prec@5 66.406 (67.383) Epoch: [17][3620/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5945 (2.6780) Prec@1 42.969 (42.308) Prec@5 71.094 (67.377) Epoch: [17][3630/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7269 (2.6783) Prec@1 44.531 (42.304) Prec@5 71.875 (67.372) Epoch: [17][3640/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.7796 (2.6783) Prec@1 41.406 (42.306) Prec@5 67.188 (67.374) Epoch: [17][3650/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8407 (2.6785) Prec@1 45.312 (42.306) Prec@5 64.062 (67.374) Epoch: [17][3660/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7145 (2.6786) Prec@1 40.625 (42.305) Prec@5 65.625 (67.369) Epoch: [17][3670/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5117 (2.6782) Prec@1 46.875 (42.308) Prec@5 73.438 (67.376) Epoch: [17][3680/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7589 (2.6784) Prec@1 48.438 (42.306) Prec@5 67.188 (67.375) Epoch: [17][3690/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8961 (2.6789) Prec@1 37.500 (42.296) Prec@5 61.719 (67.367) Epoch: [17][3700/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.1109 (2.6787) Prec@1 42.188 (42.301) Prec@5 63.281 (67.371) Epoch: [17][3710/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4919 (2.6786) Prec@1 44.531 (42.304) Prec@5 73.438 (67.375) Epoch: [17][3720/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9269 (2.6786) Prec@1 39.062 (42.296) Prec@5 62.500 (67.377) Epoch: [17][3730/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.0968 (2.6789) Prec@1 30.469 (42.292) Prec@5 64.062 (67.375) Epoch: [17][3740/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9280 (2.6790) Prec@1 38.281 (42.294) Prec@5 64.844 (67.375) Epoch: [17][3750/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.9532 (2.6794) Prec@1 33.594 (42.287) Prec@5 63.281 (67.371) Epoch: [17][3760/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7599 (2.6795) Prec@1 44.531 (42.286) Prec@5 65.625 (67.367) Epoch: [17][3770/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.3521 (2.6793) Prec@1 50.000 (42.287) Prec@5 71.875 (67.369) Epoch: [17][3780/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.9163 (2.6792) Prec@1 42.969 (42.288) Prec@5 65.625 (67.371) Epoch: [17][3790/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4424 (2.6793) Prec@1 43.750 (42.280) Prec@5 73.438 (67.373) Epoch: [17][3800/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6063 (2.6791) Prec@1 39.062 (42.283) Prec@5 67.969 (67.379) Epoch: [17][3810/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7953 (2.6791) Prec@1 39.844 (42.283) Prec@5 68.750 (67.378) Epoch: [17][3820/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7250 (2.6788) Prec@1 44.531 (42.289) Prec@5 67.188 (67.381) Epoch: [17][3830/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0491 (2.6793) Prec@1 39.844 (42.283) Prec@5 58.594 (67.376) Epoch: [17][3840/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9152 (2.6793) Prec@1 41.406 (42.283) Prec@5 61.719 (67.374) Epoch: [17][3850/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7607 (2.6791) Prec@1 35.938 (42.289) Prec@5 65.625 (67.377) Epoch: [17][3860/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.2876 (2.6790) Prec@1 45.312 (42.291) Prec@5 77.344 (67.380) Epoch: [17][3870/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.5891 (2.6791) Prec@1 39.062 (42.289) Prec@5 69.531 (67.380) Epoch: [17][3880/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6433 (2.6787) Prec@1 39.844 (42.294) Prec@5 65.625 (67.386) Epoch: [17][3890/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6644 (2.6787) Prec@1 40.625 (42.296) Prec@5 66.406 (67.386) Epoch: [17][3900/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8083 (2.6786) Prec@1 39.062 (42.300) Prec@5 66.406 (67.388) Epoch: [17][3910/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9896 (2.6788) Prec@1 37.500 (42.296) Prec@5 64.062 (67.387) Epoch: [17][3920/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8056 (2.6791) Prec@1 41.406 (42.292) Prec@5 67.188 (67.384) Epoch: [17][3930/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.2894 (2.6788) Prec@1 51.562 (42.297) Prec@5 72.656 (67.389) Epoch: [17][3940/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7380 (2.6789) Prec@1 35.938 (42.295) Prec@5 67.969 (67.385) Epoch: [17][3950/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9193 (2.6790) Prec@1 34.375 (42.293) Prec@5 62.500 (67.387) Epoch: [17][3960/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.3839 (2.6790) Prec@1 46.875 (42.290) Prec@5 75.000 (67.389) Epoch: [17][3970/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5033 (2.6790) Prec@1 43.750 (42.291) Prec@5 69.531 (67.389) Epoch: [17][3980/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5029 (2.6790) Prec@1 44.531 (42.293) Prec@5 71.875 (67.388) Epoch: [17][3990/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5871 (2.6786) Prec@1 42.188 (42.299) Prec@5 66.406 (67.390) Epoch: [17][4000/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7819 (2.6784) Prec@1 39.844 (42.299) Prec@5 68.750 (67.394) Epoch: [17][4010/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9335 (2.6787) Prec@1 37.500 (42.293) Prec@5 65.625 (67.389) Epoch: [17][4020/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8470 (2.6787) Prec@1 35.938 (42.292) Prec@5 67.188 (67.389) Epoch: [17][4030/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5956 (2.6785) Prec@1 48.438 (42.296) Prec@5 70.312 (67.393) Epoch: [17][4040/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7376 (2.6786) Prec@1 41.406 (42.298) Prec@5 64.062 (67.389) Epoch: [17][4050/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6988 (2.6787) Prec@1 40.625 (42.298) Prec@5 61.719 (67.385) Epoch: [17][4060/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4497 (2.6787) Prec@1 48.438 (42.296) Prec@5 67.188 (67.384) Epoch: [17][4070/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7216 (2.6787) Prec@1 42.969 (42.295) Prec@5 67.969 (67.384) Epoch: [17][4080/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7315 (2.6788) Prec@1 37.500 (42.291) Prec@5 64.062 (67.381) Epoch: [17][4090/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6116 (2.6785) Prec@1 39.844 (42.296) Prec@5 70.312 (67.384) Epoch: [17][4100/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.0540 (2.6788) Prec@1 33.594 (42.293) Prec@5 60.156 (67.380) Epoch: [17][4110/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7042 (2.6789) Prec@1 42.188 (42.290) Prec@5 64.844 (67.377) Epoch: [17][4120/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.1246 (2.6792) Prec@1 36.719 (42.287) Prec@5 56.250 (67.370) Epoch: [17][4130/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5866 (2.6792) Prec@1 42.188 (42.286) Prec@5 73.438 (67.373) Epoch: [17][4140/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4151 (2.6792) Prec@1 45.312 (42.284) Prec@5 72.656 (67.371) Epoch: [17][4150/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9699 (2.6791) Prec@1 36.719 (42.283) Prec@5 59.375 (67.370) Epoch: [17][4160/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7035 (2.6792) Prec@1 37.500 (42.280) Prec@5 69.531 (67.368) Epoch: [17][4170/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8108 (2.6791) Prec@1 42.188 (42.284) Prec@5 65.625 (67.369) Epoch: [17][4180/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9170 (2.6791) Prec@1 42.188 (42.286) Prec@5 66.406 (67.369) Epoch: [17][4190/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.4404 (2.6792) Prec@1 50.000 (42.284) Prec@5 69.531 (67.368) Epoch: [17][4200/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6317 (2.6791) Prec@1 47.656 (42.285) Prec@5 70.312 (67.369) Epoch: [17][4210/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5365 (2.6791) Prec@1 46.094 (42.286) Prec@5 71.094 (67.370) Epoch: [17][4220/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4103 (2.6793) Prec@1 44.531 (42.282) Prec@5 75.000 (67.369) Epoch: [17][4230/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4328 (2.6791) Prec@1 50.781 (42.289) Prec@5 72.656 (67.374) Epoch: [17][4240/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6206 (2.6788) Prec@1 39.062 (42.289) Prec@5 67.188 (67.376) Epoch: [17][4250/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5904 (2.6789) Prec@1 39.844 (42.286) Prec@5 69.531 (67.375) Epoch: [17][4260/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5660 (2.6790) Prec@1 40.625 (42.284) Prec@5 71.875 (67.370) Epoch: [17][4270/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7569 (2.6790) Prec@1 38.281 (42.285) Prec@5 67.969 (67.371) Epoch: [17][4280/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8597 (2.6788) Prec@1 38.281 (42.287) Prec@5 64.062 (67.376) Epoch: [17][4290/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4746 (2.6788) Prec@1 51.562 (42.289) Prec@5 67.188 (67.379) Epoch: [17][4300/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.4825 (2.6788) Prec@1 47.656 (42.286) Prec@5 67.969 (67.377) Epoch: [17][4310/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4873 (2.6788) Prec@1 39.844 (42.283) Prec@5 69.531 (67.374) Epoch: [17][4320/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6509 (2.6785) Prec@1 40.625 (42.285) Prec@5 66.406 (67.377) Epoch: [17][4330/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4420 (2.6785) Prec@1 47.656 (42.283) Prec@5 75.781 (67.378) Epoch: [17][4340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8958 (2.6784) Prec@1 40.625 (42.283) Prec@5 64.062 (67.378) Epoch: [17][4350/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5218 (2.6783) Prec@1 42.188 (42.287) Prec@5 67.969 (67.378) Epoch: [17][4360/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.4463 (2.6782) Prec@1 46.875 (42.287) Prec@5 71.875 (67.379) Epoch: [17][4370/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6894 (2.6781) Prec@1 43.750 (42.290) Prec@5 68.750 (67.384) Epoch: [17][4380/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8543 (2.6780) Prec@1 36.719 (42.291) Prec@5 64.062 (67.385) Epoch: [17][4390/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3932 (2.6777) Prec@1 50.000 (42.293) Prec@5 68.750 (67.391) Epoch: [17][4400/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.3658 (2.6777) Prec@1 50.000 (42.297) Prec@5 71.094 (67.391) Epoch: [17][4410/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8296 (2.6777) Prec@1 41.406 (42.297) Prec@5 60.938 (67.390) Epoch: [17][4420/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.7002 (2.6778) Prec@1 37.500 (42.294) Prec@5 65.625 (67.386) Epoch: [17][4430/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8344 (2.6779) Prec@1 36.719 (42.292) Prec@5 69.531 (67.383) Epoch: [17][4440/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8036 (2.6778) Prec@1 45.312 (42.292) Prec@5 60.156 (67.384) Epoch: [17][4450/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6034 (2.6776) Prec@1 45.312 (42.297) Prec@5 66.406 (67.387) Epoch: [17][4460/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8153 (2.6777) Prec@1 38.281 (42.297) Prec@5 63.281 (67.386) Epoch: [17][4470/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3756 (2.6775) Prec@1 47.656 (42.297) Prec@5 70.312 (67.388) Epoch: [17][4480/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8806 (2.6776) Prec@1 38.281 (42.297) Prec@5 64.844 (67.389) Epoch: [17][4490/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5790 (2.6774) Prec@1 47.656 (42.300) Prec@5 70.312 (67.390) Epoch: [17][4500/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4868 (2.6774) Prec@1 46.094 (42.302) Prec@5 69.531 (67.392) Epoch: [17][4510/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5447 (2.6772) Prec@1 41.406 (42.306) Prec@5 69.531 (67.394) Epoch: [17][4520/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6398 (2.6771) Prec@1 42.969 (42.310) Prec@5 71.094 (67.395) Epoch: [17][4530/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7027 (2.6774) Prec@1 42.188 (42.306) Prec@5 71.094 (67.392) Epoch: [17][4540/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9932 (2.6776) Prec@1 34.375 (42.305) Prec@5 66.406 (67.391) Epoch: [17][4550/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8259 (2.6777) Prec@1 39.062 (42.303) Prec@5 63.281 (67.391) Epoch: [17][4560/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1190 (2.6777) Prec@1 47.656 (42.304) Prec@5 78.125 (67.394) Epoch: [17][4570/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6813 (2.6776) Prec@1 41.406 (42.307) Prec@5 64.844 (67.394) Epoch: [17][4580/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4570 (2.6777) Prec@1 48.438 (42.302) Prec@5 70.312 (67.392) Epoch: [17][4590/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6445 (2.6777) Prec@1 42.188 (42.304) Prec@5 68.750 (67.393) Epoch: [17][4600/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6949 (2.6779) Prec@1 42.188 (42.299) Prec@5 69.531 (67.388) Epoch: [17][4610/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7875 (2.6775) Prec@1 47.656 (42.304) Prec@5 67.188 (67.394) Epoch: [17][4620/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7054 (2.6775) Prec@1 40.625 (42.302) Prec@5 64.062 (67.396) Epoch: [17][4630/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3870 (2.6775) Prec@1 50.000 (42.304) Prec@5 73.438 (67.396) Epoch: [17][4640/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5427 (2.6776) Prec@1 42.188 (42.301) Prec@5 70.312 (67.394) Epoch: [17][4650/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7487 (2.6774) Prec@1 39.844 (42.307) Prec@5 64.844 (67.397) Epoch: [17][4660/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6301 (2.6773) Prec@1 39.844 (42.305) Prec@5 71.094 (67.404) Epoch: [17][4670/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4360 (2.6774) Prec@1 46.094 (42.306) Prec@5 69.531 (67.402) Epoch: [17][4680/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7795 (2.6773) Prec@1 43.750 (42.306) Prec@5 65.625 (67.402) Epoch: [17][4690/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5767 (2.6773) Prec@1 42.969 (42.308) Prec@5 67.969 (67.399) Epoch: [17][4700/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5382 (2.6774) Prec@1 38.281 (42.303) Prec@5 68.750 (67.397) Epoch: [17][4710/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8895 (2.6774) Prec@1 39.844 (42.300) Prec@5 62.500 (67.394) Epoch: [17][4720/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7331 (2.6774) Prec@1 43.750 (42.302) Prec@5 67.188 (67.394) Epoch: [17][4730/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6849 (2.6777) Prec@1 40.625 (42.298) Prec@5 69.531 (67.390) Epoch: [17][4740/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6077 (2.6779) Prec@1 39.062 (42.292) Prec@5 68.750 (67.388) Epoch: [17][4750/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4552 (2.6778) Prec@1 42.969 (42.294) Prec@5 72.656 (67.389) Epoch: [17][4760/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6349 (2.6779) Prec@1 44.531 (42.293) Prec@5 66.406 (67.387) Epoch: [17][4770/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3971 (2.6778) Prec@1 46.875 (42.296) Prec@5 72.656 (67.386) Epoch: [17][4780/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0521 (2.6780) Prec@1 32.812 (42.289) Prec@5 60.938 (67.384) Epoch: [17][4790/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8411 (2.6780) Prec@1 37.500 (42.287) Prec@5 67.188 (67.386) Epoch: [17][4800/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.0805 (2.6780) Prec@1 32.031 (42.291) Prec@5 64.062 (67.385) Epoch: [17][4810/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7535 (2.6779) Prec@1 42.188 (42.290) Prec@5 63.281 (67.387) Epoch: [17][4820/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.1349 (2.6783) Prec@1 32.031 (42.282) Prec@5 64.062 (67.381) Epoch: [17][4830/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4612 (2.6781) Prec@1 46.094 (42.278) Prec@5 72.656 (67.385) Epoch: [17][4840/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7439 (2.6782) Prec@1 36.719 (42.274) Prec@5 69.531 (67.385) Epoch: [17][4850/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7058 (2.6785) Prec@1 39.844 (42.273) Prec@5 64.844 (67.376) Epoch: [17][4860/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6667 (2.6786) Prec@1 40.625 (42.267) Prec@5 65.625 (67.376) Epoch: [17][4870/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.2126 (2.6786) Prec@1 35.156 (42.269) Prec@5 63.281 (67.380) Epoch: [17][4880/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4160 (2.6786) Prec@1 51.562 (42.271) Prec@5 68.750 (67.379) Epoch: [17][4890/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3966 (2.6786) Prec@1 47.656 (42.270) Prec@5 77.344 (67.381) Epoch: [17][4900/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9233 (2.6788) Prec@1 40.625 (42.266) Prec@5 60.156 (67.375) Epoch: [17][4910/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5676 (2.6790) Prec@1 47.656 (42.266) Prec@5 67.969 (67.369) Epoch: [17][4920/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.1643 (2.6791) Prec@1 28.906 (42.261) Prec@5 59.375 (67.368) Epoch: [17][4930/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.7851 (2.6791) Prec@1 39.844 (42.260) Prec@5 64.062 (67.368) Epoch: [17][4940/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7174 (2.6791) Prec@1 42.188 (42.260) Prec@5 64.844 (67.368) Epoch: [17][4950/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8530 (2.6790) Prec@1 41.406 (42.265) Prec@5 60.156 (67.367) Epoch: [17][4960/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.3187 (2.6789) Prec@1 46.875 (42.266) Prec@5 75.000 (67.366) Epoch: [17][4970/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9234 (2.6792) Prec@1 42.969 (42.266) Prec@5 60.938 (67.361) Epoch: [17][4980/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9101 (2.6792) Prec@1 39.844 (42.267) Prec@5 69.531 (67.360) Epoch: [17][4990/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9702 (2.6793) Prec@1 39.844 (42.263) Prec@5 61.719 (67.361) Epoch: [17][5000/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8641 (2.6793) Prec@1 38.281 (42.259) Prec@5 71.875 (67.361) Epoch: [17][5010/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4018 (2.6792) Prec@1 46.875 (42.263) Prec@5 71.875 (67.361) Epoch: [17][5020/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3612 (2.6794) Prec@1 46.094 (42.259) Prec@5 74.219 (67.362) Epoch: [17][5030/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.4418 (2.6791) Prec@1 44.531 (42.261) Prec@5 71.094 (67.364) Epoch: [17][5040/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5171 (2.6792) Prec@1 42.969 (42.259) Prec@5 69.531 (67.363) Epoch: [17][5050/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.6707 (2.6791) Prec@1 38.281 (42.258) Prec@5 65.625 (67.365) Epoch: [17][5060/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8809 (2.6795) Prec@1 39.844 (42.253) Prec@5 63.281 (67.357) Epoch: [17][5070/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7604 (2.6794) Prec@1 41.406 (42.255) Prec@5 65.625 (67.356) Epoch: [17][5080/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6235 (2.6793) Prec@1 41.406 (42.256) Prec@5 69.531 (67.361) Epoch: [17][5090/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8183 (2.6794) Prec@1 35.938 (42.254) Prec@5 67.188 (67.356) Epoch: [17][5100/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7053 (2.6797) Prec@1 42.188 (42.250) Prec@5 67.969 (67.353) Epoch: [17][5110/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6021 (2.6796) Prec@1 41.406 (42.248) Prec@5 67.188 (67.352) Epoch: [17][5120/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.1487 (2.6797) Prec@1 35.938 (42.245) Prec@5 61.719 (67.351) Epoch: [17][5130/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7617 (2.6796) Prec@1 40.625 (42.246) Prec@5 67.188 (67.352) Epoch: [17][5140/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7124 (2.6798) Prec@1 38.281 (42.243) Prec@5 62.500 (67.347) Epoch: [17][5150/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9522 (2.6799) Prec@1 33.594 (42.242) Prec@5 60.938 (67.345) Epoch: [17][5160/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3859 (2.6798) Prec@1 43.750 (42.240) Prec@5 68.750 (67.346) Epoch: [17][5170/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6326 (2.6798) Prec@1 39.062 (42.241) Prec@5 67.969 (67.347) Epoch: [17][5180/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8261 (2.6799) Prec@1 36.719 (42.241) Prec@5 66.406 (67.345) Epoch: [17][5190/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5664 (2.6798) Prec@1 46.094 (42.243) Prec@5 69.531 (67.345) Epoch: [17][5200/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7126 (2.6798) Prec@1 46.875 (42.246) Prec@5 66.406 (67.346) Epoch: [17][5210/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5083 (2.6799) Prec@1 40.625 (42.248) Prec@5 68.750 (67.344) Epoch: [17][5220/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8136 (2.6799) Prec@1 40.625 (42.246) Prec@5 63.281 (67.341) Epoch: [17][5230/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3764 (2.6798) Prec@1 42.188 (42.251) Prec@5 71.875 (67.344) Epoch: [17][5240/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0839 (2.6798) Prec@1 39.844 (42.252) Prec@5 60.938 (67.344) Epoch: [17][5250/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7997 (2.6799) Prec@1 36.719 (42.251) Prec@5 62.500 (67.342) Epoch: [17][5260/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.1156 (2.6795) Prec@1 33.594 (42.256) Prec@5 57.812 (67.348) Epoch: [17][5270/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8049 (2.6795) Prec@1 38.281 (42.255) Prec@5 67.188 (67.348) Epoch: [17][5280/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4585 (2.6796) Prec@1 44.531 (42.251) Prec@5 67.969 (67.345) Epoch: [17][5290/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8900 (2.6797) Prec@1 34.375 (42.248) Prec@5 63.281 (67.342) Epoch: [17][5300/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6776 (2.6796) Prec@1 41.406 (42.250) Prec@5 67.969 (67.344) Epoch: [17][5310/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6197 (2.6794) Prec@1 40.625 (42.253) Prec@5 70.312 (67.346) Epoch: [17][5320/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7013 (2.6795) Prec@1 40.625 (42.254) Prec@5 60.938 (67.345) Epoch: [17][5330/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.0370 (2.6797) Prec@1 36.719 (42.250) Prec@5 56.250 (67.342) Epoch: [17][5340/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7660 (2.6799) Prec@1 43.750 (42.247) Prec@5 65.625 (67.337) Epoch: [17][5350/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4358 (2.6799) Prec@1 46.094 (42.245) Prec@5 70.312 (67.337) Epoch: [17][5360/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7206 (2.6799) Prec@1 42.188 (42.244) Prec@5 64.844 (67.338) Epoch: [17][5370/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7373 (2.6798) Prec@1 42.188 (42.245) Prec@5 68.750 (67.340) Epoch: [17][5380/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.1380 (2.6798) Prec@1 36.719 (42.244) Prec@5 58.594 (67.340) Epoch: [17][5390/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8774 (2.6800) Prec@1 41.406 (42.243) Prec@5 69.531 (67.335) Epoch: [17][5400/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6916 (2.6802) Prec@1 39.844 (42.241) Prec@5 66.406 (67.334) Epoch: [17][5410/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.0346 (2.6803) Prec@1 39.844 (42.237) Prec@5 63.281 (67.331) Epoch: [17][5420/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7774 (2.6803) Prec@1 46.094 (42.238) Prec@5 64.844 (67.331) Epoch: [17][5430/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7938 (2.6803) Prec@1 35.938 (42.237) Prec@5 64.844 (67.332) Epoch: [17][5440/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8605 (2.6804) Prec@1 39.844 (42.236) Prec@5 64.062 (67.331) Epoch: [17][5450/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6022 (2.6802) Prec@1 42.969 (42.237) Prec@5 68.750 (67.335) Epoch: [17][5460/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8657 (2.6801) Prec@1 37.500 (42.239) Prec@5 67.188 (67.337) Epoch: [17][5470/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6234 (2.6800) Prec@1 46.094 (42.238) Prec@5 64.062 (67.337) Epoch: [17][5480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5406 (2.6799) Prec@1 37.500 (42.241) Prec@5 68.750 (67.338) Epoch: [17][5490/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4973 (2.6798) Prec@1 48.438 (42.243) Prec@5 71.875 (67.340) /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: [17][5500/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9663 (2.6796) Prec@1 41.406 (42.245) Prec@5 60.938 (67.342) Epoch: [17][5510/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6341 (2.6797) Prec@1 43.750 (42.242) Prec@5 66.406 (67.340) Epoch: [17][5520/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4935 (2.6798) Prec@1 44.531 (42.241) Prec@5 68.750 (67.337) Epoch: [17][5530/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5433 (2.6798) Prec@1 48.438 (42.242) Prec@5 70.312 (67.336) Epoch: [17][5540/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5579 (2.6798) Prec@1 39.062 (42.241) Prec@5 71.094 (67.336) Epoch: [17][5550/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4153 (2.6797) Prec@1 46.094 (42.243) Prec@5 68.750 (67.334) Epoch: [17][5560/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7976 (2.6798) Prec@1 38.281 (42.240) Prec@5 65.625 (67.331) Epoch: [17][5570/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.2597 (2.6799) Prec@1 45.312 (42.236) Prec@5 72.656 (67.331) Epoch: [17][5580/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7609 (2.6797) Prec@1 39.844 (42.239) Prec@5 63.281 (67.333) Epoch: [17][5590/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5917 (2.6796) Prec@1 45.312 (42.243) Prec@5 65.625 (67.337) Epoch: [17][5600/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.3451 (2.6793) Prec@1 39.844 (42.243) Prec@5 75.000 (67.341) Epoch: [17][5610/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6305 (2.6794) Prec@1 43.750 (42.238) Prec@5 71.094 (67.341) Epoch: [17][5620/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7742 (2.6793) Prec@1 46.094 (42.241) Prec@5 67.188 (67.341) Epoch: [17][5630/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7475 (2.6792) Prec@1 42.969 (42.241) Prec@5 69.531 (67.344) Epoch: [17][5640/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0187 (2.6793) Prec@1 39.062 (42.240) Prec@5 60.938 (67.343) Epoch: [17][5650/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4146 (2.6792) Prec@1 48.438 (42.243) Prec@5 75.000 (67.347) Epoch: [17][5660/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6623 (2.6794) Prec@1 43.750 (42.241) Prec@5 67.969 (67.342) Epoch: [17][5670/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.3759 (2.6794) Prec@1 31.250 (42.240) Prec@5 57.812 (67.340) Epoch: [17][5680/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6310 (2.6794) Prec@1 40.625 (42.238) Prec@5 67.188 (67.341) Epoch: [17][5690/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7405 (2.6796) Prec@1 46.094 (42.239) Prec@5 66.406 (67.339) Epoch: [17][5700/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9974 (2.6795) Prec@1 35.156 (42.240) Prec@5 61.719 (67.340) Epoch: [17][5710/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0321 (2.6796) Prec@1 34.375 (42.238) Prec@5 59.375 (67.340) Epoch: [17][5720/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8366 (2.6795) Prec@1 42.969 (42.241) Prec@5 66.406 (67.341) Epoch: [17][5730/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8675 (2.6796) Prec@1 37.500 (42.240) Prec@5 64.062 (67.341) Epoch: [17][5740/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5706 (2.6798) Prec@1 43.750 (42.238) Prec@5 71.094 (67.340) Epoch: [17][5750/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5081 (2.6797) Prec@1 52.344 (42.239) Prec@5 68.750 (67.341) Epoch: [17][5760/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8035 (2.6798) Prec@1 43.750 (42.239) Prec@5 69.531 (67.338) Epoch: [17][5770/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8940 (2.6797) Prec@1 39.062 (42.240) Prec@5 60.938 (67.340) Epoch: [17][5780/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7178 (2.6799) Prec@1 41.406 (42.236) Prec@5 63.281 (67.338) Epoch: [17][5790/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4480 (2.6798) Prec@1 46.094 (42.237) Prec@5 71.875 (67.339) Epoch: [17][5800/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.3629 (2.6798) Prec@1 50.000 (42.237) Prec@5 71.094 (67.340) Epoch: [17][5810/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9747 (2.6800) Prec@1 38.281 (42.232) Prec@5 61.719 (67.336) Epoch: [17][5820/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4609 (2.6801) Prec@1 47.656 (42.231) Prec@5 69.531 (67.332) Epoch: [17][5830/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.3022 (2.6801) Prec@1 53.906 (42.231) Prec@5 71.094 (67.329) Epoch: [17][5840/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.6267 (2.6801) Prec@1 39.062 (42.228) Prec@5 70.312 (67.329) Epoch: [17][5850/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.5744 (2.6802) Prec@1 47.656 (42.228) Prec@5 70.312 (67.329) Epoch: [17][5860/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4905 (2.6800) Prec@1 42.969 (42.231) Prec@5 71.875 (67.332) Epoch: [17][5870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8337 (2.6800) Prec@1 35.938 (42.228) Prec@5 64.844 (67.331) Epoch: [17][5880/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9370 (2.6801) Prec@1 39.062 (42.228) Prec@5 61.719 (67.332) Epoch: [17][5890/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4476 (2.6800) Prec@1 42.188 (42.230) Prec@5 69.531 (67.333) Epoch: [17][5900/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5903 (2.6801) Prec@1 42.969 (42.228) Prec@5 65.625 (67.329) Epoch: [17][5910/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.3699 (2.6800) Prec@1 42.188 (42.229) Prec@5 76.562 (67.331) Epoch: [17][5920/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9311 (2.6801) Prec@1 35.938 (42.226) Prec@5 60.938 (67.329) Epoch: [17][5930/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4749 (2.6800) Prec@1 39.844 (42.228) Prec@5 67.188 (67.332) Epoch: [17][5940/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6174 (2.6800) Prec@1 45.312 (42.227) Prec@5 66.406 (67.333) Epoch: [17][5950/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0522 (2.6801) Prec@1 40.625 (42.229) Prec@5 59.375 (67.332) Epoch: [17][5960/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6506 (2.6801) Prec@1 37.500 (42.226) Prec@5 67.188 (67.331) Epoch: [17][5970/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5789 (2.6802) Prec@1 44.531 (42.224) Prec@5 71.094 (67.329) Epoch: [17][5980/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6890 (2.6803) Prec@1 44.531 (42.223) Prec@5 67.188 (67.329) Epoch: [17][5990/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8505 (2.6804) Prec@1 42.188 (42.224) Prec@5 64.844 (67.327) Epoch: [17][6000/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6386 (2.6804) Prec@1 46.094 (42.228) Prec@5 67.969 (67.328) Epoch: [17][6010/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5209 (2.6804) Prec@1 49.219 (42.230) Prec@5 73.438 (67.330) Epoch: [17][6020/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6828 (2.6804) Prec@1 39.844 (42.229) Prec@5 73.438 (67.333) Epoch: [17][6030/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4013 (2.6803) Prec@1 45.312 (42.228) Prec@5 67.969 (67.334) Epoch: [17][6040/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6966 (2.6802) Prec@1 39.844 (42.228) Prec@5 67.969 (67.338) Epoch: [17][6050/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6445 (2.6801) Prec@1 42.969 (42.228) Prec@5 67.188 (67.340) Epoch: [17][6060/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4602 (2.6801) Prec@1 49.219 (42.231) Prec@5 69.531 (67.339) Epoch: [17][6070/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.3632 (2.6801) Prec@1 54.688 (42.230) Prec@5 71.094 (67.338) Epoch: [17][6080/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8183 (2.6801) Prec@1 38.281 (42.228) Prec@5 62.500 (67.336) Epoch: [17][6090/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7065 (2.6801) Prec@1 44.531 (42.229) Prec@5 64.844 (67.334) Epoch: [17][6100/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.3908 (2.6801) Prec@1 43.750 (42.230) Prec@5 73.438 (67.334) Epoch: [17][6110/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6443 (2.6801) Prec@1 39.844 (42.230) Prec@5 65.625 (67.332) Epoch: [17][6120/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8290 (2.6802) Prec@1 36.719 (42.230) Prec@5 66.406 (67.330) Epoch: [17][6130/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5153 (2.6801) Prec@1 42.969 (42.232) Prec@5 68.750 (67.329) Epoch: [17][6140/10010] Time 0.353 (0.331) Data 0.000 (0.001) Loss 2.4265 (2.6802) Prec@1 50.000 (42.232) Prec@5 70.312 (67.328) Epoch: [17][6150/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6995 (2.6801) Prec@1 45.312 (42.232) Prec@5 66.406 (67.331) Epoch: [17][6160/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7092 (2.6800) Prec@1 45.312 (42.233) Prec@5 71.094 (67.332) Epoch: [17][6170/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4729 (2.6802) Prec@1 48.438 (42.229) Prec@5 66.406 (67.330) Epoch: [17][6180/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 3.0826 (2.6802) Prec@1 35.938 (42.230) Prec@5 61.719 (67.328) Epoch: [17][6190/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8545 (2.6803) Prec@1 40.625 (42.232) Prec@5 60.938 (67.326) Epoch: [17][6200/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 3.2354 (2.6803) Prec@1 34.375 (42.228) Prec@5 61.719 (67.325) Epoch: [17][6210/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.3108 (2.6805) Prec@1 50.000 (42.228) Prec@5 71.875 (67.322) Epoch: [17][6220/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4150 (2.6803) Prec@1 45.312 (42.229) Prec@5 67.188 (67.325) Epoch: [17][6230/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.2258 (2.6804) Prec@1 49.219 (42.228) Prec@5 70.312 (67.322) Epoch: [17][6240/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7359 (2.6805) Prec@1 41.406 (42.227) Prec@5 67.969 (67.319) Epoch: [17][6250/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7320 (2.6804) Prec@1 41.406 (42.228) Prec@5 64.062 (67.319) Epoch: [17][6260/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0103 (2.6804) Prec@1 39.062 (42.225) Prec@5 60.938 (67.319) Epoch: [17][6270/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7047 (2.6802) Prec@1 42.969 (42.227) Prec@5 64.844 (67.321) Epoch: [17][6280/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7874 (2.6803) Prec@1 40.625 (42.227) Prec@5 67.188 (67.321) Epoch: [17][6290/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6810 (2.6803) Prec@1 40.625 (42.227) Prec@5 64.844 (67.320) Epoch: [17][6300/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7517 (2.6803) Prec@1 39.844 (42.227) Prec@5 67.188 (67.319) Epoch: [17][6310/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7874 (2.6802) Prec@1 36.719 (42.227) Prec@5 68.750 (67.322) Epoch: [17][6320/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8649 (2.6804) Prec@1 46.094 (42.226) Prec@5 62.500 (67.319) Epoch: [17][6330/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7425 (2.6805) Prec@1 44.531 (42.223) Prec@5 67.969 (67.318) Epoch: [17][6340/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9267 (2.6804) Prec@1 36.719 (42.221) Prec@5 62.500 (67.320) Epoch: [17][6350/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7117 (2.6805) Prec@1 35.938 (42.218) Prec@5 70.312 (67.319) Epoch: [17][6360/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6484 (2.6805) Prec@1 35.938 (42.219) Prec@5 69.531 (67.321) Epoch: [17][6370/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.3217 (2.6805) Prec@1 47.656 (42.219) Prec@5 75.781 (67.322) Epoch: [17][6380/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4767 (2.6807) Prec@1 43.750 (42.217) Prec@5 72.656 (67.319) Epoch: [17][6390/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6153 (2.6807) Prec@1 42.969 (42.214) Prec@5 70.312 (67.318) Epoch: [17][6400/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.2776 (2.6809) Prec@1 32.031 (42.211) Prec@5 61.719 (67.317) Epoch: [17][6410/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6909 (2.6809) Prec@1 42.188 (42.208) Prec@5 66.406 (67.318) Epoch: [17][6420/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7398 (2.6809) Prec@1 39.062 (42.208) Prec@5 67.188 (67.319) Epoch: [17][6430/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.1775 (2.6810) Prec@1 35.938 (42.207) Prec@5 57.812 (67.316) Epoch: [17][6440/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6931 (2.6810) Prec@1 41.406 (42.208) Prec@5 64.844 (67.317) Epoch: [17][6450/10010] Time 0.352 (0.331) Data 0.000 (0.001) Loss 2.8413 (2.6809) Prec@1 42.969 (42.210) Prec@5 61.719 (67.319) Epoch: [17][6460/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5551 (2.6809) Prec@1 41.406 (42.209) Prec@5 77.344 (67.319) Epoch: [17][6470/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 3.0418 (2.6809) Prec@1 40.625 (42.212) Prec@5 60.156 (67.318) Epoch: [17][6480/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5573 (2.6809) Prec@1 41.406 (42.211) Prec@5 69.531 (67.318) Epoch: [17][6490/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7437 (2.6809) Prec@1 39.062 (42.212) Prec@5 64.844 (67.320) Epoch: [17][6500/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7797 (2.6810) Prec@1 42.969 (42.210) Prec@5 64.062 (67.319) /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: [17][6510/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0787 (2.6811) Prec@1 39.062 (42.209) Prec@5 60.938 (67.316) Epoch: [17][6520/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.0060 (2.6811) Prec@1 33.594 (42.208) Prec@5 65.625 (67.319) Epoch: [17][6530/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5665 (2.6811) Prec@1 46.094 (42.210) Prec@5 68.750 (67.321) Epoch: [17][6540/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5023 (2.6810) Prec@1 46.875 (42.212) Prec@5 68.750 (67.322) Epoch: [17][6550/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4441 (2.6809) Prec@1 47.656 (42.212) Prec@5 73.438 (67.322) Epoch: [17][6560/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.0193 (2.6808) Prec@1 39.062 (42.213) Prec@5 59.375 (67.324) Epoch: [17][6570/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.3664 (2.6807) Prec@1 48.438 (42.216) Prec@5 67.969 (67.325) Epoch: [17][6580/10010] Time 0.330 (0.331) Data 0.003 (0.001) Loss 2.7542 (2.6808) Prec@1 39.062 (42.215) Prec@5 71.094 (67.326) Epoch: [17][6590/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7782 (2.6810) Prec@1 39.844 (42.212) Prec@5 67.188 (67.325) Epoch: [17][6600/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6252 (2.6810) Prec@1 43.750 (42.210) Prec@5 65.625 (67.321) Epoch: [17][6610/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8219 (2.6811) Prec@1 41.406 (42.209) Prec@5 64.844 (67.320) Epoch: [17][6620/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6262 (2.6811) Prec@1 42.969 (42.208) Prec@5 72.656 (67.321) Epoch: [17][6630/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9704 (2.6812) Prec@1 46.094 (42.208) Prec@5 64.844 (67.321) Epoch: [17][6640/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.3872 (2.6812) Prec@1 45.312 (42.208) Prec@5 72.656 (67.321) Epoch: [17][6650/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5209 (2.6812) Prec@1 46.094 (42.210) Prec@5 70.312 (67.323) Epoch: [17][6660/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.1409 (2.6812) Prec@1 39.844 (42.210) Prec@5 65.625 (67.323) Epoch: [17][6670/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5267 (2.6813) Prec@1 46.875 (42.208) Prec@5 70.312 (67.323) Epoch: [17][6680/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5324 (2.6813) Prec@1 42.969 (42.207) Prec@5 66.406 (67.322) Epoch: [17][6690/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.3950 (2.6813) Prec@1 41.406 (42.205) Prec@5 71.875 (67.323) Epoch: [17][6700/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4646 (2.6813) Prec@1 46.094 (42.204) Prec@5 69.531 (67.322) Epoch: [17][6710/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7098 (2.6814) Prec@1 40.625 (42.204) Prec@5 70.312 (67.323) Epoch: [17][6720/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5960 (2.6814) Prec@1 42.188 (42.204) Prec@5 71.875 (67.325) Epoch: [17][6730/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.2161 (2.6814) Prec@1 50.000 (42.205) Prec@5 74.219 (67.325) Epoch: [17][6740/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7693 (2.6815) Prec@1 42.969 (42.202) Prec@5 63.281 (67.323) Epoch: [17][6750/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4133 (2.6813) Prec@1 44.531 (42.206) Prec@5 72.656 (67.326) Epoch: [17][6760/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4886 (2.6813) Prec@1 43.750 (42.205) Prec@5 66.406 (67.325) Epoch: [17][6770/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8239 (2.6813) Prec@1 42.188 (42.204) Prec@5 61.719 (67.325) Epoch: [17][6780/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5689 (2.6813) Prec@1 39.844 (42.203) Prec@5 69.531 (67.325) Epoch: [17][6790/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8859 (2.6813) Prec@1 35.156 (42.204) Prec@5 62.500 (67.324) Epoch: [17][6800/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6710 (2.6813) Prec@1 38.281 (42.202) Prec@5 69.531 (67.327) Epoch: [17][6810/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6533 (2.6812) Prec@1 39.844 (42.200) Prec@5 71.094 (67.328) Epoch: [17][6820/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8854 (2.6812) Prec@1 37.500 (42.201) Prec@5 63.281 (67.329) Epoch: [17][6830/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6336 (2.6811) Prec@1 46.094 (42.204) Prec@5 65.625 (67.330) Epoch: [17][6840/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7638 (2.6812) Prec@1 39.844 (42.200) Prec@5 66.406 (67.329) Epoch: [17][6850/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8206 (2.6812) Prec@1 42.188 (42.198) Prec@5 64.062 (67.327) Epoch: [17][6860/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6712 (2.6812) Prec@1 41.406 (42.197) Prec@5 71.875 (67.329) Epoch: [17][6870/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.0786 (2.6812) Prec@1 32.812 (42.199) Prec@5 59.375 (67.328) Epoch: [17][6880/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4274 (2.6812) Prec@1 49.219 (42.199) Prec@5 71.875 (67.328) Epoch: [17][6890/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7041 (2.6813) Prec@1 41.406 (42.199) Prec@5 65.625 (67.327) Epoch: [17][6900/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5227 (2.6813) Prec@1 41.406 (42.200) Prec@5 71.875 (67.328) Epoch: [17][6910/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5981 (2.6813) Prec@1 42.188 (42.200) Prec@5 69.531 (67.328) Epoch: [17][6920/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1029 (2.6813) Prec@1 36.719 (42.200) Prec@5 60.938 (67.329) Epoch: [17][6930/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7063 (2.6812) Prec@1 46.094 (42.201) Prec@5 71.094 (67.332) Epoch: [17][6940/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6601 (2.6813) Prec@1 35.938 (42.200) Prec@5 71.094 (67.332) Epoch: [17][6950/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3936 (2.6814) Prec@1 46.094 (42.198) Prec@5 71.094 (67.331) Epoch: [17][6960/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9133 (2.6813) Prec@1 35.938 (42.199) Prec@5 60.156 (67.333) Epoch: [17][6970/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8527 (2.6813) Prec@1 41.406 (42.199) Prec@5 61.719 (67.332) Epoch: [17][6980/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.1989 (2.6814) Prec@1 50.000 (42.197) Prec@5 76.562 (67.329) Epoch: [17][6990/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 3.1054 (2.6814) Prec@1 37.500 (42.196) Prec@5 57.812 (67.328) Epoch: [17][7000/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8480 (2.6813) Prec@1 39.844 (42.197) Prec@5 63.281 (67.328) Epoch: [17][7010/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6397 (2.6814) Prec@1 42.188 (42.198) Prec@5 69.531 (67.327) Epoch: [17][7020/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9237 (2.6817) Prec@1 39.062 (42.193) Prec@5 62.500 (67.323) Epoch: [17][7030/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9604 (2.6817) Prec@1 36.719 (42.194) Prec@5 61.719 (67.322) Epoch: [17][7040/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5377 (2.6817) Prec@1 43.750 (42.195) Prec@5 70.312 (67.322) Epoch: [17][7050/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5648 (2.6819) Prec@1 42.969 (42.189) Prec@5 70.312 (67.318) Epoch: [17][7060/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4791 (2.6818) Prec@1 46.875 (42.191) Prec@5 74.219 (67.321) Epoch: [17][7070/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7036 (2.6819) Prec@1 44.531 (42.190) Prec@5 65.625 (67.319) Epoch: [17][7080/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7550 (2.6819) Prec@1 38.281 (42.189) Prec@5 62.500 (67.318) Epoch: [17][7090/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8129 (2.6819) Prec@1 38.281 (42.191) Prec@5 65.625 (67.319) Epoch: [17][7100/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.1917 (2.6818) Prec@1 35.156 (42.192) Prec@5 60.156 (67.321) Epoch: [17][7110/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5505 (2.6819) Prec@1 46.875 (42.192) Prec@5 71.875 (67.319) Epoch: [17][7120/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8338 (2.6819) Prec@1 42.969 (42.191) Prec@5 69.531 (67.319) Epoch: [17][7130/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6699 (2.6819) Prec@1 42.969 (42.193) Prec@5 70.312 (67.319) Epoch: [17][7140/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8283 (2.6819) Prec@1 35.938 (42.192) Prec@5 64.062 (67.320) Epoch: [17][7150/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7249 (2.6818) Prec@1 40.625 (42.193) Prec@5 67.188 (67.322) Epoch: [17][7160/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.3297 (2.6817) Prec@1 47.656 (42.193) Prec@5 71.094 (67.323) Epoch: [17][7170/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7187 (2.6818) Prec@1 35.938 (42.192) Prec@5 62.500 (67.321) Epoch: [17][7180/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5993 (2.6818) Prec@1 42.969 (42.194) Prec@5 70.312 (67.323) Epoch: [17][7190/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7894 (2.6819) Prec@1 39.062 (42.189) Prec@5 66.406 (67.319) Epoch: [17][7200/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6729 (2.6820) Prec@1 42.969 (42.189) Prec@5 68.750 (67.317) Epoch: [17][7210/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7402 (2.6820) Prec@1 41.406 (42.187) Prec@5 71.094 (67.316) Epoch: [17][7220/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1504 (2.6820) Prec@1 39.844 (42.189) Prec@5 60.156 (67.316) Epoch: [17][7230/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8546 (2.6821) Prec@1 41.406 (42.188) Prec@5 68.750 (67.315) Epoch: [17][7240/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8424 (2.6821) Prec@1 39.844 (42.189) Prec@5 64.844 (67.315) Epoch: [17][7250/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.2031 (2.6821) Prec@1 35.156 (42.189) Prec@5 53.125 (67.314) Epoch: [17][7260/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6633 (2.6821) Prec@1 42.969 (42.193) Prec@5 69.531 (67.314) Epoch: [17][7270/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8009 (2.6820) Prec@1 39.062 (42.195) Prec@5 60.156 (67.314) Epoch: [17][7280/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0615 (2.6820) Prec@1 53.125 (42.196) Prec@5 76.562 (67.313) Epoch: [17][7290/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8378 (2.6821) Prec@1 36.719 (42.195) Prec@5 65.625 (67.313) Epoch: [17][7300/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1070 (2.6822) Prec@1 33.594 (42.194) Prec@5 61.719 (67.309) Epoch: [17][7310/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6997 (2.6822) Prec@1 49.219 (42.191) Prec@5 65.625 (67.310) Epoch: [17][7320/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4430 (2.6822) Prec@1 44.531 (42.192) Prec@5 74.219 (67.310) Epoch: [17][7330/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9386 (2.6822) Prec@1 39.062 (42.193) Prec@5 61.719 (67.308) Epoch: [17][7340/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8448 (2.6822) Prec@1 44.531 (42.191) Prec@5 62.500 (67.307) Epoch: [17][7350/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7671 (2.6821) Prec@1 40.625 (42.191) Prec@5 69.531 (67.310) Epoch: [17][7360/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8978 (2.6821) Prec@1 37.500 (42.192) Prec@5 62.500 (67.312) Epoch: [17][7370/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5951 (2.6821) Prec@1 41.406 (42.192) Prec@5 67.969 (67.311) Epoch: [17][7380/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.1003 (2.6821) Prec@1 36.719 (42.194) Prec@5 57.812 (67.311) Epoch: [17][7390/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6797 (2.6821) Prec@1 41.406 (42.194) Prec@5 65.625 (67.310) Epoch: [17][7400/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7994 (2.6821) Prec@1 40.625 (42.195) Prec@5 61.719 (67.309) Epoch: [17][7410/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4953 (2.6821) Prec@1 42.188 (42.194) Prec@5 75.000 (67.309) Epoch: [17][7420/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8687 (2.6821) Prec@1 32.031 (42.194) Prec@5 67.969 (67.308) Epoch: [17][7430/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5910 (2.6822) Prec@1 42.969 (42.192) Prec@5 68.750 (67.306) Epoch: [17][7440/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8987 (2.6822) Prec@1 39.844 (42.192) Prec@5 60.156 (67.305) Epoch: [17][7450/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6657 (2.6824) Prec@1 45.312 (42.191) Prec@5 67.969 (67.301) Epoch: [17][7460/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7998 (2.6823) Prec@1 39.062 (42.190) Prec@5 65.625 (67.301) Epoch: [17][7470/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8754 (2.6825) Prec@1 36.719 (42.187) Prec@5 60.938 (67.298) Epoch: [17][7480/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8273 (2.6825) Prec@1 39.062 (42.184) Prec@5 60.938 (67.297) Epoch: [17][7490/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.4641 (2.6826) Prec@1 46.875 (42.182) Prec@5 71.094 (67.296) Epoch: [17][7500/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5062 (2.6825) Prec@1 45.312 (42.182) Prec@5 68.750 (67.298) Epoch: [17][7510/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6862 (2.6824) Prec@1 38.281 (42.181) Prec@5 65.625 (67.300) Epoch: [17][7520/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4314 (2.6824) Prec@1 47.656 (42.179) Prec@5 71.875 (67.300) Epoch: [17][7530/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6614 (2.6824) Prec@1 41.406 (42.180) Prec@5 68.750 (67.302) Epoch: [17][7540/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9610 (2.6825) Prec@1 39.062 (42.177) Prec@5 58.594 (67.298) Epoch: [17][7550/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6442 (2.6826) Prec@1 45.312 (42.176) Prec@5 67.969 (67.298) Epoch: [17][7560/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7607 (2.6825) Prec@1 42.188 (42.178) Prec@5 66.406 (67.300) Epoch: [17][7570/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7186 (2.6825) Prec@1 41.406 (42.178) Prec@5 71.094 (67.303) Epoch: [17][7580/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7981 (2.6825) Prec@1 41.406 (42.177) Prec@5 64.844 (67.304) Epoch: [17][7590/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6023 (2.6823) Prec@1 44.531 (42.177) Prec@5 67.969 (67.306) Epoch: [17][7600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9139 (2.6824) Prec@1 42.188 (42.179) Prec@5 64.062 (67.307) Epoch: [17][7610/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4034 (2.6823) Prec@1 42.188 (42.178) Prec@5 70.312 (67.307) Epoch: [17][7620/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5474 (2.6823) Prec@1 40.625 (42.177) Prec@5 68.750 (67.307) Epoch: [17][7630/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.1623 (2.6825) Prec@1 32.812 (42.173) Prec@5 58.594 (67.305) Epoch: [17][7640/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.3229 (2.6824) Prec@1 47.656 (42.173) Prec@5 71.094 (67.307) Epoch: [17][7650/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7544 (2.6823) Prec@1 39.844 (42.175) Prec@5 64.062 (67.307) Epoch: [17][7660/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8213 (2.6825) Prec@1 41.406 (42.172) Prec@5 63.281 (67.304) Epoch: [17][7670/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6839 (2.6826) Prec@1 40.625 (42.167) Prec@5 67.188 (67.300) Epoch: [17][7680/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3534 (2.6825) Prec@1 49.219 (42.169) Prec@5 73.438 (67.300) Epoch: [17][7690/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0186 (2.6827) Prec@1 34.375 (42.167) Prec@5 66.406 (67.298) Epoch: [17][7700/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7870 (2.6827) Prec@1 38.281 (42.167) Prec@5 66.406 (67.297) Epoch: [17][7710/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8428 (2.6829) Prec@1 34.375 (42.163) Prec@5 63.281 (67.293) Epoch: [17][7720/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5161 (2.6828) Prec@1 42.188 (42.163) Prec@5 73.438 (67.295) Epoch: [17][7730/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6666 (2.6827) Prec@1 46.094 (42.164) Prec@5 66.406 (67.296) Epoch: [17][7740/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6609 (2.6826) Prec@1 46.094 (42.165) Prec@5 64.844 (67.295) Epoch: [17][7750/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6125 (2.6826) Prec@1 44.531 (42.166) Prec@5 71.094 (67.296) Epoch: [17][7760/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7328 (2.6827) Prec@1 35.156 (42.166) Prec@5 71.094 (67.294) Epoch: [17][7770/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8540 (2.6827) Prec@1 39.844 (42.165) Prec@5 63.281 (67.295) Epoch: [17][7780/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6856 (2.6828) Prec@1 39.844 (42.164) Prec@5 67.969 (67.293) Epoch: [17][7790/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.6272 (2.6828) Prec@1 40.625 (42.160) Prec@5 71.094 (67.293) Epoch: [17][7800/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6514 (2.6828) Prec@1 46.094 (42.161) Prec@5 65.625 (67.294) Epoch: [17][7810/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6369 (2.6828) Prec@1 41.406 (42.160) Prec@5 67.188 (67.293) Epoch: [17][7820/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6856 (2.6828) Prec@1 42.188 (42.160) Prec@5 65.625 (67.294) Epoch: [17][7830/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5568 (2.6829) Prec@1 46.875 (42.160) Prec@5 71.094 (67.292) Epoch: [17][7840/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7072 (2.6831) Prec@1 38.281 (42.155) Prec@5 62.500 (67.288) Epoch: [17][7850/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7604 (2.6832) Prec@1 35.938 (42.154) Prec@5 67.188 (67.287) Epoch: [17][7860/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.3435 (2.6832) Prec@1 50.000 (42.153) Prec@5 71.875 (67.286) Epoch: [17][7870/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9158 (2.6831) Prec@1 43.750 (42.154) Prec@5 65.625 (67.286) Epoch: [17][7880/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8109 (2.6832) Prec@1 39.844 (42.151) Prec@5 64.844 (67.286) Epoch: [17][7890/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7572 (2.6832) Prec@1 40.625 (42.148) Prec@5 67.188 (67.286) Epoch: [17][7900/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9863 (2.6833) Prec@1 35.938 (42.147) Prec@5 64.062 (67.284) Epoch: [17][7910/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8217 (2.6833) Prec@1 40.625 (42.149) Prec@5 68.750 (67.284) Epoch: [17][7920/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4858 (2.6832) Prec@1 48.438 (42.149) Prec@5 70.312 (67.285) Epoch: [17][7930/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6655 (2.6833) Prec@1 42.188 (42.148) Prec@5 66.406 (67.283) Epoch: [17][7940/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7514 (2.6834) Prec@1 36.719 (42.145) Prec@5 68.750 (67.282) Epoch: [17][7950/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7360 (2.6834) Prec@1 39.062 (42.146) Prec@5 64.062 (67.280) Epoch: [17][7960/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.5975 (2.6834) Prec@1 48.438 (42.146) Prec@5 68.750 (67.280) Epoch: [17][7970/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8208 (2.6834) Prec@1 42.969 (42.144) Prec@5 64.844 (67.279) Epoch: [17][7980/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6987 (2.6834) Prec@1 41.406 (42.146) Prec@5 66.406 (67.282) Epoch: [17][7990/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9136 (2.6835) Prec@1 38.281 (42.144) Prec@5 64.062 (67.281) Epoch: [17][8000/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9687 (2.6835) Prec@1 38.281 (42.145) Prec@5 66.406 (67.281) Epoch: [17][8010/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6910 (2.6835) Prec@1 42.188 (42.145) Prec@5 64.844 (67.280) Epoch: [17][8020/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5098 (2.6836) Prec@1 44.531 (42.143) Prec@5 68.750 (67.280) Epoch: [17][8030/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7207 (2.6836) Prec@1 39.844 (42.143) Prec@5 65.625 (67.280) Epoch: [17][8040/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.3331 (2.6836) Prec@1 49.219 (42.142) Prec@5 73.438 (67.281) Epoch: [17][8050/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0616 (2.6837) Prec@1 39.844 (42.143) Prec@5 64.062 (67.279) Epoch: [17][8060/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4684 (2.6838) Prec@1 42.969 (42.138) Prec@5 74.219 (67.279) Epoch: [17][8070/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.2206 (2.6837) Prec@1 50.000 (42.140) Prec@5 73.438 (67.280) Epoch: [17][8080/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7714 (2.6837) Prec@1 40.625 (42.140) Prec@5 66.406 (67.280) Epoch: [17][8090/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.2641 (2.6836) Prec@1 50.000 (42.142) Prec@5 75.000 (67.282) Epoch: [17][8100/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7310 (2.6836) Prec@1 38.281 (42.144) Prec@5 69.531 (67.284) Epoch: [17][8110/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.1104 (2.6837) Prec@1 34.375 (42.143) Prec@5 60.938 (67.282) Epoch: [17][8120/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5669 (2.6837) Prec@1 42.969 (42.144) Prec@5 67.188 (67.282) Epoch: [17][8130/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7424 (2.6837) Prec@1 39.844 (42.142) Prec@5 69.531 (67.285) Epoch: [17][8140/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.5780 (2.6836) Prec@1 42.188 (42.142) Prec@5 65.625 (67.286) Epoch: [17][8150/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6401 (2.6838) Prec@1 38.281 (42.139) Prec@5 69.531 (67.284) Epoch: [17][8160/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0115 (2.6839) Prec@1 36.719 (42.138) Prec@5 61.719 (67.281) Epoch: [17][8170/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.6247 (2.6840) Prec@1 42.188 (42.136) Prec@5 75.781 (67.278) Epoch: [17][8180/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6130 (2.6840) Prec@1 35.938 (42.137) Prec@5 70.312 (67.278) Epoch: [17][8190/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7919 (2.6840) Prec@1 34.375 (42.137) Prec@5 67.188 (67.277) Epoch: [17][8200/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5125 (2.6839) Prec@1 48.438 (42.137) Prec@5 66.406 (67.276) Epoch: [17][8210/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6602 (2.6840) Prec@1 48.438 (42.137) Prec@5 67.969 (67.276) Epoch: [17][8220/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9889 (2.6841) Prec@1 35.156 (42.135) Prec@5 64.062 (67.274) Epoch: [17][8230/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5187 (2.6840) Prec@1 40.625 (42.135) Prec@5 68.750 (67.275) Epoch: [17][8240/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7861 (2.6841) Prec@1 38.281 (42.134) Prec@5 64.062 (67.274) Epoch: [17][8250/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.3322 (2.6841) Prec@1 46.875 (42.134) Prec@5 74.219 (67.275) Epoch: [17][8260/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8729 (2.6842) Prec@1 35.938 (42.131) Prec@5 59.375 (67.273) Epoch: [17][8270/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6947 (2.6843) Prec@1 39.062 (42.130) Prec@5 70.312 (67.271) Epoch: [17][8280/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7674 (2.6842) Prec@1 41.406 (42.132) Prec@5 61.719 (67.272) Epoch: [17][8290/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8902 (2.6842) Prec@1 41.406 (42.133) Prec@5 60.938 (67.274) Epoch: [17][8300/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.0738 (2.6842) Prec@1 35.938 (42.132) Prec@5 64.062 (67.276) Epoch: [17][8310/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8675 (2.6843) Prec@1 40.625 (42.131) Prec@5 64.062 (67.274) Epoch: [17][8320/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6793 (2.6844) Prec@1 44.531 (42.132) Prec@5 71.875 (67.271) Epoch: [17][8330/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.3253 (2.6844) Prec@1 47.656 (42.131) Prec@5 69.531 (67.272) Epoch: [17][8340/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5354 (2.6844) Prec@1 41.406 (42.131) Prec@5 68.750 (67.269) Epoch: [17][8350/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9217 (2.6844) Prec@1 32.812 (42.131) Prec@5 66.406 (67.270) Epoch: [17][8360/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8312 (2.6845) Prec@1 41.406 (42.130) Prec@5 62.500 (67.269) Epoch: [17][8370/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4276 (2.6844) Prec@1 46.094 (42.131) Prec@5 67.188 (67.270) Epoch: [17][8380/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7442 (2.6845) Prec@1 37.500 (42.131) Prec@5 68.750 (67.268) Epoch: [17][8390/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4795 (2.6846) Prec@1 47.656 (42.130) Prec@5 72.656 (67.267) Epoch: [17][8400/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4439 (2.6847) Prec@1 41.406 (42.129) Prec@5 75.000 (67.266) Epoch: [17][8410/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7517 (2.6848) Prec@1 42.969 (42.126) Prec@5 64.062 (67.265) Epoch: [17][8420/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7048 (2.6846) Prec@1 42.969 (42.128) Prec@5 61.719 (67.267) Epoch: [17][8430/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7907 (2.6846) Prec@1 40.625 (42.128) Prec@5 61.719 (67.267) Epoch: [17][8440/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4532 (2.6846) Prec@1 43.750 (42.126) Prec@5 71.094 (67.267) Epoch: [17][8450/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7771 (2.6847) Prec@1 35.156 (42.125) Prec@5 61.719 (67.264) Epoch: [17][8460/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6645 (2.6846) Prec@1 41.406 (42.126) Prec@5 66.406 (67.265) Epoch: [17][8470/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7384 (2.6846) Prec@1 40.625 (42.128) Prec@5 68.750 (67.266) Epoch: [17][8480/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7847 (2.6848) Prec@1 41.406 (42.125) Prec@5 64.062 (67.265) Epoch: [17][8490/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6749 (2.6849) Prec@1 43.750 (42.124) Prec@5 64.062 (67.264) Epoch: [17][8500/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7102 (2.6849) Prec@1 35.938 (42.124) Prec@5 66.406 (67.264) Epoch: [17][8510/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5864 (2.6849) Prec@1 46.875 (42.124) Prec@5 69.531 (67.263) Epoch: [17][8520/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5204 (2.6849) Prec@1 45.312 (42.125) Prec@5 68.750 (67.264) Epoch: [17][8530/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6529 (2.6848) Prec@1 38.281 (42.123) Prec@5 67.188 (67.264) Epoch: [17][8540/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5765 (2.6848) Prec@1 45.312 (42.124) Prec@5 66.406 (67.266) Epoch: [17][8550/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5322 (2.6848) Prec@1 34.375 (42.122) Prec@5 72.656 (67.263) Epoch: [17][8560/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7531 (2.6847) Prec@1 40.625 (42.124) Prec@5 69.531 (67.265) Epoch: [17][8570/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7150 (2.6849) Prec@1 42.969 (42.123) Prec@5 68.750 (67.264) Epoch: [17][8580/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5030 (2.6849) Prec@1 44.531 (42.125) Prec@5 67.969 (67.264) Epoch: [17][8590/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9531 (2.6849) Prec@1 38.281 (42.126) Prec@5 63.281 (67.264) Epoch: [17][8600/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9701 (2.6848) Prec@1 35.156 (42.126) Prec@5 63.281 (67.263) /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: [17][8610/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7996 (2.6849) Prec@1 48.438 (42.127) Prec@5 64.062 (67.264) Epoch: [17][8620/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7743 (2.6849) Prec@1 39.844 (42.126) Prec@5 66.406 (67.264) Epoch: [17][8630/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0102 (2.6849) Prec@1 36.719 (42.125) Prec@5 58.594 (67.262) Epoch: [17][8640/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6869 (2.6849) Prec@1 45.312 (42.126) Prec@5 70.312 (67.261) Epoch: [17][8650/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7533 (2.6849) Prec@1 40.625 (42.126) Prec@5 70.312 (67.261) Epoch: [17][8660/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4874 (2.6849) Prec@1 43.750 (42.127) Prec@5 72.656 (67.264) Epoch: [17][8670/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8744 (2.6849) Prec@1 38.281 (42.126) Prec@5 64.062 (67.263) Epoch: [17][8680/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0133 (2.6851) Prec@1 38.281 (42.124) Prec@5 60.938 (67.262) Epoch: [17][8690/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.2932 (2.6852) Prec@1 50.000 (42.121) Prec@5 72.656 (67.261) Epoch: [17][8700/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9261 (2.6853) Prec@1 37.500 (42.120) Prec@5 64.062 (67.260) Epoch: [17][8710/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5775 (2.6852) Prec@1 43.750 (42.121) Prec@5 67.969 (67.261) Epoch: [17][8720/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6372 (2.6852) Prec@1 44.531 (42.123) Prec@5 67.969 (67.261) Epoch: [17][8730/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6454 (2.6851) Prec@1 38.281 (42.123) Prec@5 68.750 (67.262) Epoch: [17][8740/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0281 (2.6854) Prec@1 40.625 (42.119) Prec@5 62.500 (67.256) Epoch: [17][8750/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5871 (2.6855) Prec@1 43.750 (42.116) Prec@5 69.531 (67.254) Epoch: [17][8760/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.3050 (2.6854) Prec@1 48.438 (42.116) Prec@5 76.562 (67.254) Epoch: [17][8770/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8708 (2.6854) Prec@1 37.500 (42.116) Prec@5 59.375 (67.254) Epoch: [17][8780/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.3791 (2.6853) Prec@1 46.875 (42.118) Prec@5 71.875 (67.254) Epoch: [17][8790/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8459 (2.6853) Prec@1 46.094 (42.119) Prec@5 64.062 (67.255) Epoch: [17][8800/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7941 (2.6853) Prec@1 47.656 (42.122) Prec@5 65.625 (67.257) Epoch: [17][8810/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.1311 (2.6854) Prec@1 41.406 (42.121) Prec@5 59.375 (67.255) Epoch: [17][8820/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5327 (2.6854) Prec@1 43.750 (42.122) Prec@5 73.438 (67.254) Epoch: [17][8830/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1701 (2.6853) Prec@1 49.219 (42.123) Prec@5 75.781 (67.257) Epoch: [17][8840/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.4616 (2.6853) Prec@1 43.750 (42.123) Prec@5 71.875 (67.259) /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: [17][8850/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9431 (2.6854) Prec@1 37.500 (42.122) Prec@5 64.844 (67.256) Epoch: [17][8860/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8302 (2.6855) Prec@1 39.062 (42.120) Prec@5 60.938 (67.254) Epoch: [17][8870/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8843 (2.6856) Prec@1 38.281 (42.117) Prec@5 62.500 (67.251) Epoch: [17][8880/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5867 (2.6857) Prec@1 44.531 (42.117) Prec@5 69.531 (67.251) Epoch: [17][8890/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4983 (2.6857) Prec@1 43.750 (42.117) Prec@5 69.531 (67.250) Epoch: [17][8900/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5456 (2.6856) Prec@1 49.219 (42.117) Prec@5 67.188 (67.251) Epoch: [17][8910/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6927 (2.6857) Prec@1 40.625 (42.118) Prec@5 65.625 (67.250) Epoch: [17][8920/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6577 (2.6857) Prec@1 39.062 (42.117) Prec@5 69.531 (67.250) Epoch: [17][8930/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9704 (2.6858) Prec@1 35.938 (42.113) Prec@5 62.500 (67.248) Epoch: [17][8940/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5934 (2.6858) Prec@1 44.531 (42.112) Prec@5 70.312 (67.247) Epoch: [17][8950/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6029 (2.6858) Prec@1 41.406 (42.114) Prec@5 69.531 (67.249) Epoch: [17][8960/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6640 (2.6858) Prec@1 46.094 (42.115) Prec@5 68.750 (67.247) Epoch: [17][8970/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7993 (2.6858) Prec@1 38.281 (42.114) Prec@5 64.844 (67.246) Epoch: [17][8980/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6520 (2.6859) Prec@1 46.875 (42.113) Prec@5 69.531 (67.246) /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: [17][8990/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6203 (2.6859) Prec@1 45.312 (42.113) Prec@5 73.438 (67.247) Epoch: [17][9000/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5343 (2.6858) Prec@1 50.000 (42.116) Prec@5 67.188 (67.247) Epoch: [17][9010/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7962 (2.6858) Prec@1 40.625 (42.115) Prec@5 60.938 (67.247) Epoch: [17][9020/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0625 (2.6858) Prec@1 37.500 (42.116) Prec@5 57.031 (67.247) Epoch: [17][9030/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6192 (2.6858) Prec@1 44.531 (42.118) Prec@5 72.656 (67.249) Epoch: [17][9040/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3868 (2.6858) Prec@1 46.094 (42.117) Prec@5 71.875 (67.249) Epoch: [17][9050/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6515 (2.6859) Prec@1 35.156 (42.114) Prec@5 73.438 (67.249) Epoch: [17][9060/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6936 (2.6859) Prec@1 35.938 (42.112) Prec@5 65.625 (67.249) Epoch: [17][9070/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4395 (2.6859) Prec@1 45.312 (42.111) Prec@5 70.312 (67.249) Epoch: [17][9080/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8445 (2.6860) Prec@1 39.844 (42.109) Prec@5 59.375 (67.248) Epoch: [17][9090/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4955 (2.6858) Prec@1 44.531 (42.110) Prec@5 71.094 (67.248) Epoch: [17][9100/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.2060 (2.6858) Prec@1 49.219 (42.109) Prec@5 74.219 (67.248) Epoch: [17][9110/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5896 (2.6857) Prec@1 42.969 (42.110) Prec@5 64.844 (67.250) Epoch: [17][9120/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.6591 (2.6857) Prec@1 47.656 (42.111) Prec@5 67.188 (67.249) Epoch: [17][9130/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3634 (2.6857) Prec@1 46.875 (42.109) Prec@5 73.438 (67.250) Epoch: [17][9140/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3918 (2.6855) Prec@1 46.094 (42.111) Prec@5 73.438 (67.253) Epoch: [17][9150/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5726 (2.6855) Prec@1 37.500 (42.110) Prec@5 70.312 (67.254) Epoch: [17][9160/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8183 (2.6854) Prec@1 43.750 (42.110) Prec@5 65.625 (67.255) Epoch: [17][9170/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6268 (2.6853) Prec@1 46.875 (42.113) Prec@5 67.969 (67.256) Epoch: [17][9180/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9357 (2.6853) Prec@1 35.938 (42.115) Prec@5 65.625 (67.255) Epoch: [17][9190/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8465 (2.6853) Prec@1 41.406 (42.117) Prec@5 65.625 (67.256) Epoch: [17][9200/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4224 (2.6853) Prec@1 46.094 (42.118) Prec@5 71.094 (67.256) Epoch: [17][9210/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7849 (2.6855) Prec@1 35.938 (42.114) Prec@5 66.406 (67.254) Epoch: [17][9220/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5062 (2.6854) Prec@1 45.312 (42.115) Prec@5 70.312 (67.254) Epoch: [17][9230/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8213 (2.6855) Prec@1 40.625 (42.113) Prec@5 65.625 (67.253) Epoch: [17][9240/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7337 (2.6855) Prec@1 37.500 (42.114) Prec@5 63.281 (67.254) Epoch: [17][9250/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5601 (2.6854) Prec@1 45.312 (42.115) Prec@5 70.312 (67.253) Epoch: [17][9260/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7645 (2.6854) Prec@1 40.625 (42.116) Prec@5 64.844 (67.254) Epoch: [17][9270/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6217 (2.6853) Prec@1 40.625 (42.117) Prec@5 67.188 (67.256) Epoch: [17][9280/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3949 (2.6852) Prec@1 46.875 (42.116) Prec@5 68.750 (67.256) Epoch: [17][9290/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.2558 (2.6853) Prec@1 49.219 (42.115) Prec@5 75.781 (67.256) Epoch: [17][9300/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.2165 (2.6852) Prec@1 46.094 (42.117) Prec@5 78.125 (67.259) Epoch: [17][9310/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6578 (2.6851) Prec@1 44.531 (42.118) Prec@5 64.844 (67.259) Epoch: [17][9320/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3813 (2.6851) Prec@1 50.000 (42.119) Prec@5 75.000 (67.262) Epoch: [17][9330/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9686 (2.6852) Prec@1 38.281 (42.116) Prec@5 61.719 (67.261) Epoch: [17][9340/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5197 (2.6852) Prec@1 45.312 (42.115) Prec@5 70.312 (67.259) Epoch: [17][9350/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6364 (2.6853) Prec@1 41.406 (42.116) Prec@5 64.844 (67.258) Epoch: [17][9360/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7271 (2.6853) Prec@1 35.156 (42.116) Prec@5 67.188 (67.258) Epoch: [17][9370/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7836 (2.6853) Prec@1 39.844 (42.116) Prec@5 64.844 (67.258) Epoch: [17][9380/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4613 (2.6854) Prec@1 48.438 (42.115) Prec@5 71.875 (67.257) Epoch: [17][9390/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7686 (2.6853) Prec@1 38.281 (42.116) Prec@5 64.062 (67.256) Epoch: [17][9400/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4745 (2.6852) Prec@1 49.219 (42.120) Prec@5 69.531 (67.258) Epoch: [17][9410/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6245 (2.6851) Prec@1 42.969 (42.120) Prec@5 65.625 (67.260) Epoch: [17][9420/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.0191 (2.6851) Prec@1 41.406 (42.119) Prec@5 60.938 (67.259) Epoch: [17][9430/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8375 (2.6852) Prec@1 38.281 (42.117) Prec@5 63.281 (67.258) Epoch: [17][9440/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6938 (2.6852) Prec@1 39.062 (42.117) Prec@5 71.094 (67.258) Epoch: [17][9450/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6868 (2.6851) Prec@1 41.406 (42.117) Prec@5 67.188 (67.259) Epoch: [17][9460/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7205 (2.6852) Prec@1 36.719 (42.115) Prec@5 65.625 (67.258) Epoch: [17][9470/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6289 (2.6851) Prec@1 42.188 (42.118) Prec@5 70.312 (67.258) Epoch: [17][9480/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5463 (2.6850) Prec@1 45.312 (42.119) Prec@5 70.312 (67.259) Epoch: [17][9490/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5087 (2.6850) Prec@1 49.219 (42.122) Prec@5 67.969 (67.258) Epoch: [17][9500/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5852 (2.6849) Prec@1 39.062 (42.124) Prec@5 68.750 (67.258) Epoch: [17][9510/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.1388 (2.6850) Prec@1 38.281 (42.121) Prec@5 60.156 (67.256) Epoch: [17][9520/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4561 (2.6850) Prec@1 41.406 (42.120) Prec@5 68.750 (67.255) Epoch: [17][9530/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8010 (2.6851) Prec@1 38.281 (42.118) Prec@5 66.406 (67.254) Epoch: [17][9540/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.4599 (2.6850) Prec@1 42.969 (42.119) Prec@5 71.875 (67.257) Epoch: [17][9550/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7567 (2.6850) Prec@1 43.750 (42.119) Prec@5 64.062 (67.257) Epoch: [17][9560/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3659 (2.6848) Prec@1 46.875 (42.122) Prec@5 77.344 (67.260) Epoch: [17][9570/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5821 (2.6850) Prec@1 45.312 (42.120) Prec@5 71.875 (67.258) Epoch: [17][9580/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5751 (2.6851) Prec@1 40.625 (42.118) Prec@5 68.750 (67.257) Epoch: [17][9590/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8292 (2.6852) Prec@1 40.625 (42.117) Prec@5 65.625 (67.255) Epoch: [17][9600/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5245 (2.6852) Prec@1 44.531 (42.119) Prec@5 71.094 (67.255) Epoch: [17][9610/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6586 (2.6851) Prec@1 46.875 (42.121) Prec@5 71.094 (67.256) Epoch: [17][9620/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.1410 (2.6852) Prec@1 35.938 (42.119) Prec@5 57.812 (67.256) Epoch: [17][9630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8906 (2.6851) Prec@1 34.375 (42.120) Prec@5 64.844 (67.257) Epoch: [17][9640/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8945 (2.6851) Prec@1 42.969 (42.120) Prec@5 66.406 (67.257) Epoch: [17][9650/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.5072 (2.6851) Prec@1 44.531 (42.121) Prec@5 70.312 (67.256) Epoch: [17][9660/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5313 (2.6850) Prec@1 46.875 (42.124) Prec@5 71.094 (67.257) Epoch: [17][9670/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8179 (2.6849) Prec@1 40.625 (42.127) Prec@5 67.969 (67.259) Epoch: [17][9680/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7924 (2.6848) Prec@1 39.062 (42.128) Prec@5 64.844 (67.263) Epoch: [17][9690/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6965 (2.6848) Prec@1 40.625 (42.127) Prec@5 65.625 (67.264) Epoch: [17][9700/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5466 (2.6847) Prec@1 47.656 (42.127) Prec@5 66.406 (67.265) Epoch: [17][9710/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.4991 (2.6847) Prec@1 42.969 (42.128) Prec@5 72.656 (67.265) Epoch: [17][9720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9963 (2.6848) Prec@1 32.812 (42.126) Prec@5 64.062 (67.264) Epoch: [17][9730/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5397 (2.6847) Prec@1 44.531 (42.126) Prec@5 69.531 (67.264) Epoch: [17][9740/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6393 (2.6849) Prec@1 39.844 (42.124) Prec@5 74.219 (67.260) Epoch: [17][9750/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.6432 (2.6847) Prec@1 46.875 (42.126) Prec@5 69.531 (67.263) Epoch: [17][9760/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6689 (2.6847) Prec@1 42.188 (42.126) Prec@5 66.406 (67.264) Epoch: [17][9770/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5510 (2.6846) Prec@1 50.781 (42.128) Prec@5 67.969 (67.265) Epoch: [17][9780/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7700 (2.6846) Prec@1 42.969 (42.130) Prec@5 63.281 (67.265) Epoch: [17][9790/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6056 (2.6847) Prec@1 42.188 (42.128) Prec@5 67.188 (67.264) Epoch: [17][9800/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6082 (2.6847) Prec@1 43.750 (42.126) Prec@5 61.719 (67.262) Epoch: [17][9810/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5998 (2.6847) Prec@1 46.094 (42.127) Prec@5 68.750 (67.263) Epoch: [17][9820/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5934 (2.6847) Prec@1 45.312 (42.127) Prec@5 72.656 (67.263) Epoch: [17][9830/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6905 (2.6847) Prec@1 42.969 (42.128) Prec@5 63.281 (67.263) Epoch: [17][9840/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4944 (2.6846) Prec@1 40.625 (42.127) Prec@5 71.875 (67.265) Epoch: [17][9850/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7686 (2.6846) Prec@1 42.188 (42.127) Prec@5 68.750 (67.267) Epoch: [17][9860/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7855 (2.6847) Prec@1 42.969 (42.124) Prec@5 66.406 (67.266) Epoch: [17][9870/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7325 (2.6847) Prec@1 42.188 (42.124) Prec@5 63.281 (67.267) Epoch: [17][9880/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5375 (2.6848) Prec@1 39.844 (42.122) Prec@5 69.531 (67.266) Epoch: [17][9890/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9938 (2.6848) Prec@1 42.188 (42.123) Prec@5 57.812 (67.265) Epoch: [17][9900/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1483 (2.6848) Prec@1 51.562 (42.125) Prec@5 74.219 (67.265) Epoch: [17][9910/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7952 (2.6849) Prec@1 39.062 (42.124) Prec@5 62.500 (67.262) Epoch: [17][9920/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7621 (2.6850) Prec@1 41.406 (42.124) Prec@5 61.719 (67.262) Epoch: [17][9930/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6731 (2.6851) Prec@1 44.531 (42.123) Prec@5 70.312 (67.260) Epoch: [17][9940/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9617 (2.6851) Prec@1 40.625 (42.123) Prec@5 60.938 (67.260) Epoch: [17][9950/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7425 (2.6852) Prec@1 42.969 (42.122) Prec@5 64.062 (67.259) Epoch: [17][9960/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7231 (2.6851) Prec@1 39.844 (42.122) Prec@5 67.969 (67.259) Epoch: [17][9970/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6539 (2.6850) Prec@1 37.500 (42.123) Prec@5 67.969 (67.260) Epoch: [17][9980/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8385 (2.6851) Prec@1 33.594 (42.123) Prec@5 68.750 (67.260) Epoch: [17][9990/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8875 (2.6852) Prec@1 36.719 (42.122) Prec@5 66.406 (67.258) Epoch: [17][10000/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7450 (2.6852) Prec@1 39.062 (42.121) Prec@5 63.281 (67.256) Test: [0/391] Time 1.588 (1.588) Loss 1.5492 (1.5492) Prec@1 66.406 (66.406) Prec@5 84.375 (84.375) Test: [10/391] Time 0.107 (0.243) Loss 3.9264 (1.8006) Prec@1 29.688 (59.091) Prec@5 49.219 (82.386) Test: [20/391] Time 0.105 (0.178) Loss 2.1028 (2.2265) Prec@1 55.469 (51.079) Prec@5 78.906 (75.967) Test: [30/391] Time 0.119 (0.158) Loss 2.6615 (2.3534) Prec@1 46.875 (48.135) Prec@5 67.188 (74.219) Test: [40/391] Time 0.112 (0.146) Loss 2.4126 (2.1690) Prec@1 46.094 (51.620) Prec@5 71.094 (76.353) Test: [50/391] Time 0.112 (0.139) Loss 1.2711 (2.2296) Prec@1 64.844 (50.582) Prec@5 89.062 (75.674) Test: [60/391] Time 0.107 (0.134) Loss 2.0544 (2.1350) Prec@1 42.188 (52.024) Prec@5 79.688 (77.011) Test: [70/391] Time 0.111 (0.130) Loss 2.3906 (2.2079) Prec@1 37.500 (49.901) Prec@5 76.562 (75.935) Test: [80/391] Time 0.105 (0.128) Loss 2.3653 (2.2323) Prec@1 35.938 (48.389) Prec@5 75.781 (75.733) Test: [90/391] Time 0.105 (0.126) Loss 1.6736 (2.2119) Prec@1 51.562 (48.231) Prec@5 85.156 (76.245) Test: [100/391] Time 0.105 (0.124) Loss 1.0872 (2.1781) Prec@1 72.656 (48.438) Prec@5 92.969 (77.034) Test: [110/391] Time 0.112 (0.122) Loss 1.7260 (2.1737) Prec@1 45.312 (48.198) Prec@5 88.281 (76.992) Test: [120/391] Time 0.105 (0.122) Loss 2.1184 (2.1567) Prec@1 50.000 (48.638) Prec@5 81.250 (77.389) Test: [130/391] Time 0.109 (0.121) Loss 1.8488 (2.1567) Prec@1 59.375 (48.760) Prec@5 81.250 (77.272) Test: [140/391] Time 0.104 (0.120) Loss 3.1526 (2.1782) Prec@1 28.906 (48.521) Prec@5 62.500 (76.867) Test: [150/391] Time 0.114 (0.119) Loss 2.5593 (2.1735) Prec@1 31.250 (48.650) Prec@5 73.438 (76.883) Test: [160/391] Time 0.106 (0.118) Loss 2.0895 (2.1715) Prec@1 47.656 (48.811) Prec@5 78.125 (76.960) Test: [170/391] Time 0.110 (0.118) Loss 3.0899 (2.2144) Prec@1 28.125 (48.058) Prec@5 62.500 (76.316) Test: [180/391] Time 0.106 (0.117) Loss 3.4014 (2.2562) Prec@1 33.594 (47.509) Prec@5 60.156 (75.695) Test: [190/391] Time 0.104 (0.117) Loss 3.5125 (2.3059) Prec@1 33.594 (46.859) Prec@5 60.156 (74.742) Test: [200/391] Time 0.110 (0.116) Loss 2.9211 (2.3577) Prec@1 35.938 (46.078) Prec@5 60.156 (73.904) Test: [210/391] Time 0.102 (0.116) Loss 2.8628 (2.3774) Prec@1 31.250 (45.764) Prec@5 60.156 (73.593) Test: [220/391] Time 0.114 (0.116) Loss 1.5680 (2.3869) Prec@1 66.406 (45.836) Prec@5 85.156 (73.300) Test: [230/391] Time 0.109 (0.116) Loss 3.7873 (2.4048) Prec@1 18.750 (45.471) Prec@5 50.000 (73.005) Test: [240/391] Time 0.105 (0.115) Loss 1.9482 (2.4212) Prec@1 57.031 (45.303) Prec@5 79.688 (72.653) Test: [250/391] Time 0.107 (0.115) Loss 3.0574 (2.4508) Prec@1 38.281 (44.843) Prec@5 59.375 (72.236) Test: [260/391] Time 0.106 (0.115) Loss 3.1082 (2.4688) Prec@1 34.375 (44.456) Prec@5 58.594 (71.965) Test: [270/391] Time 0.104 (0.115) Loss 3.4749 (2.4790) Prec@1 30.469 (44.407) Prec@5 60.156 (71.728) Test: [280/391] Time 0.106 (0.114) Loss 2.1669 (2.4906) Prec@1 46.094 (44.237) Prec@5 75.781 (71.572) Test: [290/391] Time 0.104 (0.114) Loss 2.8812 (2.5088) Prec@1 25.000 (44.096) Prec@5 68.750 (71.268) Test: [300/391] Time 0.113 (0.114) Loss 2.0867 (2.5214) Prec@1 60.938 (43.971) Prec@5 80.469 (71.063) Test: [310/391] Time 0.109 (0.114) Loss 2.6063 (2.5428) Prec@1 49.219 (43.707) Prec@5 71.875 (70.704) Test: [320/391] Time 0.109 (0.113) Loss 2.1184 (2.5517) Prec@1 52.344 (43.555) Prec@5 76.562 (70.585) Test: [330/391] Time 0.114 (0.113) Loss 3.2873 (2.5845) Prec@1 25.000 (43.032) Prec@5 57.812 (70.051) Test: [340/391] Time 0.110 (0.113) Loss 2.1752 (2.5938) Prec@1 49.219 (42.866) Prec@5 74.219 (69.818) Test: [350/391] Time 0.099 (0.113) Loss 2.4450 (2.5972) Prec@1 48.438 (42.857) Prec@5 67.188 (69.716) Test: [360/391] Time 0.106 (0.113) Loss 2.1463 (2.5976) Prec@1 36.719 (42.845) Prec@5 73.438 (69.674) Test: [370/391] Time 0.101 (0.113) Loss 2.1850 (2.5821) Prec@1 46.875 (43.082) Prec@5 75.781 (69.874) Test: [380/391] Time 0.118 (0.113) Loss 2.1368 (2.5764) Prec@1 45.312 (43.211) Prec@5 78.906 (69.960) Test: [390/391] Time 0.081 (0.113) Loss 3.8504 (2.5649) Prec@1 25.000 (43.392) Prec@5 46.250 (70.122) * Prec@1 43.392 Prec@5 70.122 Epoch: [18][0/10010] Time 2.492 (2.492) Data 2.317 (2.317) Loss 2.7221 (2.7221) Prec@1 40.625 (40.625) Prec@5 68.750 (68.750) Epoch: [18][10/10010] Time 0.322 (0.521) Data 0.001 (0.211) Loss 3.1531 (2.8295) Prec@1 26.562 (38.920) Prec@5 61.719 (65.838) Epoch: [18][20/10010] Time 0.323 (0.426) Data 0.000 (0.111) Loss 2.5630 (2.7830) Prec@1 49.219 (40.067) Prec@5 64.062 (65.885) Epoch: [18][30/10010] Time 0.329 (0.393) Data 0.001 (0.075) Loss 2.7059 (2.7648) Prec@1 40.625 (40.197) Prec@5 66.406 (66.356) Epoch: [18][40/10010] Time 0.319 (0.376) Data 0.001 (0.057) Loss 2.2054 (2.7299) Prec@1 46.094 (41.139) Prec@5 74.219 (67.073) Epoch: [18][50/10010] Time 0.322 (0.366) Data 0.001 (0.046) Loss 2.5583 (2.6910) Prec@1 47.656 (42.080) Prec@5 71.094 (67.601) Epoch: [18][60/10010] Time 0.320 (0.360) Data 0.001 (0.039) Loss 2.5253 (2.6969) Prec@1 44.531 (41.983) Prec@5 70.312 (67.623) Epoch: [18][70/10010] Time 0.333 (0.356) Data 0.000 (0.033) Loss 2.5476 (2.6808) Prec@1 41.406 (41.978) Prec@5 71.094 (67.892) Epoch: [18][80/10010] Time 0.342 (0.353) Data 0.000 (0.029) Loss 2.2696 (2.6901) Prec@1 47.656 (41.966) Prec@5 75.000 (67.776) Epoch: [18][90/10010] Time 0.340 (0.351) Data 0.001 (0.026) Loss 2.6358 (2.6979) Prec@1 41.406 (41.973) Prec@5 68.750 (67.651) Epoch: [18][100/10010] Time 0.318 (0.349) Data 0.001 (0.024) Loss 2.6741 (2.6975) Prec@1 40.625 (42.056) Prec@5 66.406 (67.752) Epoch: [18][110/10010] Time 0.330 (0.348) Data 0.001 (0.022) Loss 2.7322 (2.6818) Prec@1 41.406 (42.230) Prec@5 65.625 (67.891) Epoch: [18][120/10010] Time 0.322 (0.346) Data 0.001 (0.020) Loss 2.8260 (2.6752) Prec@1 40.625 (42.362) Prec@5 61.719 (67.988) Epoch: [18][130/10010] Time 0.333 (0.345) Data 0.001 (0.018) Loss 2.4725 (2.6694) Prec@1 50.781 (42.516) Prec@5 72.656 (68.040) Epoch: [18][140/10010] Time 0.340 (0.344) Data 0.000 (0.017) Loss 2.6982 (2.6703) Prec@1 40.625 (42.320) Prec@5 64.844 (68.035) Epoch: [18][150/10010] Time 0.341 (0.343) Data 0.001 (0.016) Loss 2.7144 (2.6729) Prec@1 39.062 (42.281) Prec@5 67.188 (67.912) Epoch: [18][160/10010] Time 0.339 (0.343) Data 0.001 (0.015) Loss 2.7662 (2.6712) Prec@1 40.625 (42.319) Prec@5 66.406 (67.823) Epoch: [18][170/10010] Time 0.346 (0.343) Data 0.000 (0.014) Loss 2.7022 (2.6693) Prec@1 44.531 (42.352) Prec@5 70.312 (67.855) Epoch: [18][180/10010] Time 0.329 (0.342) Data 0.000 (0.013) Loss 2.2660 (2.6705) Prec@1 46.875 (42.274) Prec@5 73.438 (67.796) Epoch: [18][190/10010] Time 0.326 (0.342) Data 0.001 (0.013) Loss 2.9051 (2.6698) Prec@1 39.844 (42.294) Prec@5 67.969 (67.866) Epoch: [18][200/10010] Time 0.323 (0.341) Data 0.001 (0.012) Loss 2.8250 (2.6715) Prec@1 40.625 (42.339) Prec@5 60.156 (67.794) Epoch: [18][210/10010] Time 0.350 (0.340) Data 0.000 (0.012) Loss 2.4387 (2.6719) Prec@1 46.094 (42.336) Prec@5 68.750 (67.802) Epoch: [18][220/10010] Time 0.320 (0.340) Data 0.001 (0.011) Loss 2.4498 (2.6631) Prec@1 46.875 (42.488) Prec@5 67.969 (67.880) Epoch: [18][230/10010] Time 0.338 (0.340) Data 0.001 (0.011) Loss 2.5494 (2.6652) Prec@1 40.625 (42.438) Prec@5 67.188 (67.813) Epoch: [18][240/10010] Time 0.318 (0.339) Data 0.000 (0.010) Loss 2.7356 (2.6656) Prec@1 44.531 (42.418) Prec@5 67.188 (67.768) Epoch: [18][250/10010] Time 0.341 (0.339) Data 0.000 (0.010) Loss 2.5967 (2.6680) Prec@1 45.312 (42.433) Prec@5 68.750 (67.738) Epoch: [18][260/10010] Time 0.342 (0.339) Data 0.001 (0.009) Loss 2.6475 (2.6677) Prec@1 42.969 (42.460) Prec@5 67.188 (67.714) Epoch: [18][270/10010] Time 0.329 (0.338) Data 0.000 (0.009) Loss 2.6198 (2.6692) Prec@1 39.844 (42.412) Prec@5 68.750 (67.692) Epoch: [18][280/10010] Time 0.321 (0.338) Data 0.001 (0.009) Loss 2.4767 (2.6699) Prec@1 53.906 (42.457) Prec@5 71.875 (67.674) Epoch: [18][290/10010] Time 0.342 (0.338) Data 0.000 (0.009) Loss 2.2384 (2.6650) Prec@1 50.000 (42.499) Prec@5 76.562 (67.767) Epoch: [18][300/10010] Time 0.333 (0.338) Data 0.001 (0.008) Loss 2.7063 (2.6671) Prec@1 41.406 (42.486) Prec@5 65.625 (67.761) Epoch: [18][310/10010] Time 0.325 (0.337) Data 0.000 (0.008) Loss 2.4199 (2.6633) Prec@1 47.656 (42.509) Prec@5 73.438 (67.861) Epoch: [18][320/10010] Time 0.326 (0.337) Data 0.001 (0.008) Loss 3.3010 (2.6663) Prec@1 39.844 (42.482) Prec@5 55.469 (67.840) Epoch: [18][330/10010] Time 0.341 (0.337) Data 0.001 (0.008) Loss 2.7955 (2.6674) Prec@1 41.406 (42.459) Prec@5 65.625 (67.825) Epoch: [18][340/10010] Time 0.316 (0.337) Data 0.001 (0.007) Loss 2.7028 (2.6673) Prec@1 42.188 (42.449) Prec@5 67.188 (67.822) Epoch: [18][350/10010] Time 0.321 (0.337) Data 0.000 (0.007) Loss 2.9459 (2.6667) Prec@1 42.188 (42.459) Prec@5 63.281 (67.837) Epoch: [18][360/10010] Time 0.314 (0.336) Data 0.001 (0.007) Loss 2.8892 (2.6669) Prec@1 40.625 (42.428) Prec@5 64.062 (67.854) Epoch: [18][370/10010] Time 0.328 (0.336) Data 0.001 (0.007) Loss 2.1865 (2.6646) Prec@1 53.906 (42.482) Prec@5 74.219 (67.834) Epoch: [18][380/10010] Time 0.320 (0.336) Data 0.001 (0.007) Loss 3.0236 (2.6657) Prec@1 35.938 (42.466) Prec@5 64.062 (67.784) Epoch: [18][390/10010] Time 0.326 (0.336) Data 0.001 (0.007) Loss 2.6846 (2.6649) Prec@1 46.875 (42.523) Prec@5 70.312 (67.791) Epoch: [18][400/10010] Time 0.318 (0.336) Data 0.001 (0.006) Loss 2.3759 (2.6656) Prec@1 50.000 (42.519) Prec@5 70.312 (67.752) Epoch: [18][410/10010] Time 0.340 (0.335) Data 0.001 (0.006) Loss 2.4174 (2.6664) Prec@1 43.750 (42.486) Prec@5 78.125 (67.756) Epoch: [18][420/10010] Time 0.333 (0.335) Data 0.003 (0.006) Loss 2.4722 (2.6663) Prec@1 47.656 (42.479) Prec@5 70.312 (67.765) Epoch: [18][430/10010] Time 0.335 (0.336) Data 0.001 (0.006) Loss 2.8920 (2.6673) Prec@1 37.500 (42.468) Prec@5 62.500 (67.739) Epoch: [18][440/10010] Time 0.330 (0.336) Data 0.000 (0.006) Loss 3.0344 (2.6676) Prec@1 34.375 (42.450) Prec@5 61.719 (67.708) Epoch: [18][450/10010] Time 0.325 (0.335) Data 0.001 (0.006) Loss 2.6625 (2.6674) Prec@1 40.625 (42.466) Prec@5 71.094 (67.718) Epoch: [18][460/10010] Time 0.341 (0.335) Data 0.000 (0.006) Loss 2.6209 (2.6689) Prec@1 36.719 (42.437) Prec@5 71.094 (67.698) Epoch: [18][470/10010] Time 0.336 (0.335) Data 0.001 (0.006) Loss 2.8192 (2.6669) Prec@1 35.938 (42.483) Prec@5 67.188 (67.723) Epoch: [18][480/10010] Time 0.338 (0.335) Data 0.000 (0.005) Loss 2.4778 (2.6651) Prec@1 51.562 (42.522) Prec@5 70.312 (67.758) /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: [18][490/10010] Time 0.329 (0.335) Data 0.000 (0.005) Loss 2.7749 (2.6658) Prec@1 44.531 (42.518) Prec@5 67.969 (67.757) Epoch: [18][500/10010] Time 0.319 (0.335) Data 0.001 (0.005) Loss 3.0416 (2.6681) Prec@1 39.844 (42.493) Prec@5 60.156 (67.688) Epoch: [18][510/10010] Time 0.345 (0.335) Data 0.001 (0.005) Loss 2.4089 (2.6669) Prec@1 43.750 (42.518) Prec@5 71.875 (67.703) Epoch: [18][520/10010] Time 0.338 (0.335) Data 0.001 (0.005) Loss 2.8199 (2.6679) Prec@1 44.531 (42.505) Prec@5 67.969 (67.721) Epoch: [18][530/10010] Time 0.324 (0.335) Data 0.000 (0.005) Loss 3.0281 (2.6697) Prec@1 34.375 (42.479) Prec@5 63.281 (67.691) Epoch: [18][540/10010] Time 0.331 (0.335) Data 0.000 (0.005) Loss 2.4664 (2.6693) Prec@1 46.875 (42.502) Prec@5 73.438 (67.699) Epoch: [18][550/10010] Time 0.323 (0.335) Data 0.000 (0.005) Loss 2.6554 (2.6700) Prec@1 42.969 (42.460) Prec@5 64.844 (67.689) Epoch: [18][560/10010] Time 0.329 (0.334) Data 0.001 (0.005) Loss 2.6614 (2.6709) Prec@1 50.781 (42.466) Prec@5 65.625 (67.665) Epoch: [18][570/10010] Time 0.336 (0.335) Data 0.001 (0.005) Loss 2.5460 (2.6708) Prec@1 43.750 (42.450) Prec@5 67.969 (67.670) Epoch: [18][580/10010] Time 0.338 (0.334) Data 0.001 (0.005) Loss 2.3047 (2.6698) Prec@1 50.781 (42.463) Prec@5 73.438 (67.673) Epoch: [18][590/10010] Time 0.339 (0.334) Data 0.000 (0.005) Loss 2.4212 (2.6695) Prec@1 41.406 (42.461) Prec@5 75.000 (67.669) Epoch: [18][600/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 2.7484 (2.6715) Prec@1 40.625 (42.432) Prec@5 64.062 (67.627) Epoch: [18][610/10010] Time 0.315 (0.334) Data 0.001 (0.004) Loss 2.8637 (2.6711) Prec@1 36.719 (42.442) Prec@5 64.844 (67.636) Epoch: [18][620/10010] Time 0.349 (0.334) Data 0.000 (0.004) Loss 2.7287 (2.6707) Prec@1 45.312 (42.453) Prec@5 67.969 (67.648) Epoch: [18][630/10010] Time 0.316 (0.334) Data 0.001 (0.004) Loss 2.8447 (2.6721) Prec@1 38.281 (42.420) Prec@5 64.844 (67.626) Epoch: [18][640/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 2.6106 (2.6718) Prec@1 42.188 (42.425) Prec@5 65.625 (67.619) Epoch: [18][650/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.6122 (2.6718) Prec@1 43.750 (42.426) Prec@5 66.406 (67.629) Epoch: [18][660/10010] Time 0.337 (0.334) Data 0.003 (0.004) Loss 2.7968 (2.6715) Prec@1 37.500 (42.430) Prec@5 67.188 (67.639) Epoch: [18][670/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.4393 (2.6709) Prec@1 44.531 (42.442) Prec@5 71.875 (67.650) Epoch: [18][680/10010] Time 0.331 (0.334) Data 0.001 (0.004) Loss 3.1023 (2.6705) Prec@1 39.844 (42.471) Prec@5 60.156 (67.642) Epoch: [18][690/10010] Time 0.345 (0.334) Data 0.000 (0.004) Loss 2.7245 (2.6710) Prec@1 39.844 (42.458) Prec@5 65.625 (67.625) Epoch: [18][700/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.7951 (2.6715) Prec@1 40.625 (42.432) Prec@5 64.844 (67.614) Epoch: [18][710/10010] Time 0.321 (0.334) Data 0.001 (0.004) Loss 2.7440 (2.6721) Prec@1 44.531 (42.427) Prec@5 63.281 (67.607) Epoch: [18][720/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 2.5688 (2.6720) Prec@1 42.188 (42.435) Prec@5 63.281 (67.590) Epoch: [18][730/10010] Time 0.337 (0.334) Data 0.000 (0.004) Loss 3.1507 (2.6738) Prec@1 39.062 (42.384) Prec@5 60.156 (67.552) Epoch: [18][740/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.3962 (2.6734) Prec@1 46.094 (42.407) Prec@5 69.531 (67.544) Epoch: [18][750/10010] Time 0.316 (0.334) Data 0.000 (0.004) Loss 2.5569 (2.6739) Prec@1 47.656 (42.404) Prec@5 70.312 (67.532) Epoch: [18][760/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.5312 (2.6728) Prec@1 46.094 (42.431) Prec@5 66.406 (67.540) Epoch: [18][770/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.6499 (2.6733) Prec@1 43.750 (42.434) Prec@5 67.969 (67.526) Epoch: [18][780/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 3.0294 (2.6737) Prec@1 34.375 (42.425) Prec@5 62.500 (67.520) Epoch: [18][790/10010] Time 0.331 (0.334) Data 0.001 (0.004) Loss 2.6459 (2.6740) Prec@1 41.406 (42.415) Prec@5 70.312 (67.514) Epoch: [18][800/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.8117 (2.6735) Prec@1 34.375 (42.442) Prec@5 64.062 (67.511) Epoch: [18][810/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.8587 (2.6736) Prec@1 38.281 (42.431) Prec@5 68.750 (67.518) Epoch: [18][820/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.5620 (2.6737) Prec@1 36.719 (42.407) Prec@5 67.969 (67.521) Epoch: [18][830/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 2.3484 (2.6745) Prec@1 47.656 (42.386) Prec@5 73.438 (67.510) Epoch: [18][840/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.7201 (2.6744) Prec@1 43.750 (42.377) Prec@5 62.500 (67.502) Epoch: [18][850/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.6510 (2.6750) Prec@1 38.281 (42.358) Prec@5 67.188 (67.501) Epoch: [18][860/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.8744 (2.6750) Prec@1 33.594 (42.357) Prec@5 65.625 (67.512) Epoch: [18][870/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 2.5823 (2.6754) Prec@1 41.406 (42.353) Prec@5 71.094 (67.506) Epoch: [18][880/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.5754 (2.6745) Prec@1 39.844 (42.369) Prec@5 65.625 (67.507) Epoch: [18][890/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.5139 (2.6744) Prec@1 45.312 (42.393) Prec@5 72.656 (67.529) Epoch: [18][900/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.4180 (2.6740) Prec@1 44.531 (42.411) Prec@5 76.562 (67.550) Epoch: [18][910/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.7518 (2.6738) Prec@1 45.312 (42.413) Prec@5 66.406 (67.550) Epoch: [18][920/10010] Time 0.348 (0.333) Data 0.001 (0.003) Loss 2.7320 (2.6739) Prec@1 44.531 (42.420) Prec@5 67.969 (67.554) Epoch: [18][930/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.9269 (2.6735) Prec@1 39.062 (42.436) Prec@5 64.844 (67.561) Epoch: [18][940/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.7055 (2.6727) Prec@1 45.312 (42.454) Prec@5 67.188 (67.579) Epoch: [18][950/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 2.6496 (2.6730) Prec@1 42.969 (42.472) Prec@5 66.406 (67.567) Epoch: [18][960/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.5573 (2.6717) Prec@1 46.094 (42.515) Prec@5 66.406 (67.579) Epoch: [18][970/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.4368 (2.6711) Prec@1 52.344 (42.516) Prec@5 71.875 (67.594) Epoch: [18][980/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.7736 (2.6718) Prec@1 42.969 (42.513) Prec@5 70.312 (67.585) Epoch: [18][990/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 3.0550 (2.6718) Prec@1 42.188 (42.493) Prec@5 66.406 (67.605) Epoch: [18][1000/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.3782 (2.6726) Prec@1 46.875 (42.473) Prec@5 71.875 (67.596) Epoch: [18][1010/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.7758 (2.6717) Prec@1 34.375 (42.489) Prec@5 64.844 (67.619) Epoch: [18][1020/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.5903 (2.6708) Prec@1 47.656 (42.512) Prec@5 67.188 (67.633) Epoch: [18][1030/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.5993 (2.6710) Prec@1 41.406 (42.493) Prec@5 68.750 (67.627) Epoch: [18][1040/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 2.6989 (2.6708) Prec@1 38.281 (42.501) Prec@5 70.312 (67.636) Epoch: [18][1050/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.6591 (2.6714) Prec@1 40.625 (42.486) Prec@5 67.188 (67.622) Epoch: [18][1060/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.5316 (2.6712) Prec@1 46.094 (42.488) Prec@5 67.969 (67.632) Epoch: [18][1070/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.6846 (2.6700) Prec@1 43.750 (42.498) Prec@5 69.531 (67.645) Epoch: [18][1080/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.7389 (2.6700) Prec@1 39.062 (42.501) Prec@5 71.094 (67.657) Epoch: [18][1090/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 2.5262 (2.6702) Prec@1 43.750 (42.499) Prec@5 68.750 (67.652) Epoch: [18][1100/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.5225 (2.6703) Prec@1 38.281 (42.486) Prec@5 67.188 (67.650) Epoch: [18][1110/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.9955 (2.6712) Prec@1 35.938 (42.468) Prec@5 67.969 (67.639) Epoch: [18][1120/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.6975 (2.6713) Prec@1 36.719 (42.463) Prec@5 65.625 (67.634) Epoch: [18][1130/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.9354 (2.6721) Prec@1 43.750 (42.455) Prec@5 59.375 (67.624) Epoch: [18][1140/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 2.8228 (2.6721) Prec@1 39.844 (42.452) Prec@5 66.406 (67.629) Epoch: [18][1150/10010] Time 0.345 (0.332) Data 0.001 (0.003) Loss 2.3802 (2.6723) Prec@1 43.750 (42.434) Prec@5 75.000 (67.622) Epoch: [18][1160/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 2.9521 (2.6725) Prec@1 33.594 (42.420) Prec@5 57.031 (67.613) Epoch: [18][1170/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.4929 (2.6720) Prec@1 49.219 (42.424) Prec@5 71.094 (67.624) Epoch: [18][1180/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 2.4068 (2.6717) Prec@1 41.406 (42.426) Prec@5 67.969 (67.618) Epoch: [18][1190/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 2.6692 (2.6713) Prec@1 46.094 (42.442) Prec@5 66.406 (67.624) Epoch: [18][1200/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.6304 (2.6722) Prec@1 37.500 (42.434) Prec@5 69.531 (67.619) Epoch: [18][1210/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.8273 (2.6717) Prec@1 35.938 (42.446) Prec@5 61.719 (67.611) Epoch: [18][1220/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.6806 (2.6721) Prec@1 39.844 (42.445) Prec@5 67.969 (67.605) Epoch: [18][1230/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 2.4937 (2.6726) Prec@1 50.000 (42.436) Prec@5 73.438 (67.602) Epoch: [18][1240/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8748 (2.6728) Prec@1 39.844 (42.431) Prec@5 67.188 (67.607) Epoch: [18][1250/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.4720 (2.6728) Prec@1 48.438 (42.428) Prec@5 67.969 (67.611) Epoch: [18][1260/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.4293 (2.6721) Prec@1 50.000 (42.445) Prec@5 69.531 (67.626) Epoch: [18][1270/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.6088 (2.6712) Prec@1 46.094 (42.463) Prec@5 67.188 (67.638) Epoch: [18][1280/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.8927 (2.6700) Prec@1 34.375 (42.484) Prec@5 67.188 (67.666) Epoch: [18][1290/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5210 (2.6700) Prec@1 42.969 (42.484) Prec@5 73.438 (67.656) Epoch: [18][1300/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.9428 (2.6709) Prec@1 36.719 (42.461) Prec@5 62.500 (67.643) Epoch: [18][1310/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.5245 (2.6707) Prec@1 44.531 (42.469) Prec@5 69.531 (67.645) Epoch: [18][1320/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6252 (2.6705) Prec@1 47.656 (42.465) Prec@5 67.969 (67.649) Epoch: [18][1330/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.7466 (2.6699) Prec@1 45.312 (42.477) Prec@5 64.062 (67.655) Epoch: [18][1340/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.8144 (2.6699) Prec@1 40.625 (42.472) Prec@5 63.281 (67.651) Epoch: [18][1350/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.9380 (2.6701) Prec@1 37.500 (42.469) Prec@5 61.719 (67.650) Epoch: [18][1360/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.6849 (2.6704) Prec@1 42.188 (42.469) Prec@5 67.188 (67.638) Epoch: [18][1370/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.4143 (2.6705) Prec@1 45.312 (42.465) Prec@5 72.656 (67.638) Epoch: [18][1380/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6172 (2.6706) Prec@1 39.062 (42.464) Prec@5 71.875 (67.636) Epoch: [18][1390/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.4988 (2.6707) Prec@1 42.969 (42.459) Prec@5 67.969 (67.635) Epoch: [18][1400/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6671 (2.6709) Prec@1 43.750 (42.461) Prec@5 69.531 (67.639) Epoch: [18][1410/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.8752 (2.6712) Prec@1 37.500 (42.448) Prec@5 67.188 (67.635) Epoch: [18][1420/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5909 (2.6709) Prec@1 42.969 (42.453) Prec@5 68.750 (67.644) Epoch: [18][1430/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6752 (2.6708) Prec@1 40.625 (42.457) Prec@5 71.094 (67.651) Epoch: [18][1440/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.5131 (2.6709) Prec@1 44.531 (42.458) Prec@5 71.094 (67.642) Epoch: [18][1450/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.3946 (2.6703) Prec@1 43.750 (42.455) Prec@5 69.531 (67.649) Epoch: [18][1460/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.7244 (2.6699) Prec@1 39.844 (42.460) Prec@5 64.844 (67.650) Epoch: [18][1470/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.7156 (2.6701) Prec@1 41.406 (42.448) Prec@5 61.719 (67.650) Epoch: [18][1480/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.4062 (2.6708) Prec@1 47.656 (42.440) Prec@5 71.875 (67.629) Epoch: [18][1490/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5117 (2.6709) Prec@1 48.438 (42.440) Prec@5 70.312 (67.622) /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: [18][1500/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.7248 (2.6712) Prec@1 40.625 (42.432) Prec@5 66.406 (67.623) Epoch: [18][1510/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6411 (2.6705) Prec@1 40.625 (42.428) Prec@5 66.406 (67.624) Epoch: [18][1520/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.4499 (2.6706) Prec@1 41.406 (42.417) Prec@5 74.219 (67.628) Epoch: [18][1530/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.4903 (2.6706) Prec@1 44.531 (42.421) Prec@5 71.094 (67.637) Epoch: [18][1540/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.9306 (2.6714) Prec@1 47.656 (42.419) Prec@5 61.719 (67.625) Epoch: [18][1550/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.8982 (2.6715) Prec@1 35.156 (42.415) Prec@5 62.500 (67.615) Epoch: [18][1560/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.7328 (2.6712) Prec@1 39.062 (42.419) Prec@5 64.844 (67.622) Epoch: [18][1570/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.4733 (2.6712) Prec@1 46.094 (42.425) Prec@5 71.875 (67.622) Epoch: [18][1580/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.6397 (2.6709) Prec@1 39.062 (42.434) Prec@5 62.500 (67.630) Epoch: [18][1590/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8128 (2.6706) Prec@1 38.281 (42.431) Prec@5 69.531 (67.633) Epoch: [18][1600/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.4986 (2.6699) Prec@1 46.094 (42.443) Prec@5 68.750 (67.649) Epoch: [18][1610/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.8095 (2.6701) Prec@1 38.281 (42.435) Prec@5 64.844 (67.651) Epoch: [18][1620/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.4114 (2.6699) Prec@1 48.438 (42.434) Prec@5 71.875 (67.650) Epoch: [18][1630/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7564 (2.6697) Prec@1 36.719 (42.440) Prec@5 65.625 (67.649) Epoch: [18][1640/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.4060 (2.6698) Prec@1 46.875 (42.437) Prec@5 69.531 (67.643) Epoch: [18][1650/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.2453 (2.6698) Prec@1 52.344 (42.439) Prec@5 75.000 (67.645) Epoch: [18][1660/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.6780 (2.6686) Prec@1 43.750 (42.462) Prec@5 67.188 (67.660) Epoch: [18][1670/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.8630 (2.6693) Prec@1 40.625 (42.452) Prec@5 65.625 (67.650) Epoch: [18][1680/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.6571 (2.6692) Prec@1 42.188 (42.448) Prec@5 67.188 (67.660) Epoch: [18][1690/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9457 (2.6692) Prec@1 38.281 (42.448) Prec@5 60.156 (67.653) Epoch: [18][1700/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.8821 (2.6696) Prec@1 33.594 (42.443) Prec@5 68.750 (67.643) Epoch: [18][1710/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.4551 (2.6694) Prec@1 42.188 (42.435) Prec@5 67.188 (67.649) Epoch: [18][1720/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.5827 (2.6691) Prec@1 44.531 (42.444) Prec@5 67.188 (67.652) /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: [18][1730/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.8470 (2.6688) Prec@1 40.625 (42.456) Prec@5 66.406 (67.660) Epoch: [18][1740/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7183 (2.6691) Prec@1 44.531 (42.457) Prec@5 64.062 (67.647) Epoch: [18][1750/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.3558 (2.6687) Prec@1 49.219 (42.463) Prec@5 78.906 (67.655) Epoch: [18][1760/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7044 (2.6686) Prec@1 40.625 (42.473) Prec@5 65.625 (67.660) Epoch: [18][1770/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6477 (2.6683) Prec@1 41.406 (42.474) Prec@5 64.844 (67.662) Epoch: [18][1780/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.8615 (2.6681) Prec@1 40.625 (42.479) Prec@5 66.406 (67.667) Epoch: [18][1790/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.6404 (2.6687) Prec@1 43.750 (42.468) Prec@5 70.312 (67.655) Epoch: [18][1800/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.5919 (2.6692) Prec@1 46.875 (42.463) Prec@5 68.750 (67.648) Epoch: [18][1810/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.5342 (2.6687) Prec@1 45.312 (42.464) Prec@5 72.656 (67.661) Epoch: [18][1820/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.6374 (2.6684) Prec@1 42.969 (42.473) Prec@5 69.531 (67.667) Epoch: [18][1830/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.6084 (2.6680) Prec@1 46.875 (42.473) Prec@5 70.312 (67.677) Epoch: [18][1840/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.9088 (2.6678) Prec@1 40.625 (42.466) Prec@5 64.844 (67.678) Epoch: [18][1850/10010] Time 0.346 (0.332) Data 0.002 (0.002) Loss 2.8592 (2.6677) Prec@1 35.938 (42.462) Prec@5 65.625 (67.678) Epoch: [18][1860/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.9214 (2.6680) Prec@1 38.281 (42.454) Prec@5 65.625 (67.673) Epoch: [18][1870/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.7953 (2.6680) Prec@1 36.719 (42.455) Prec@5 60.156 (67.673) Epoch: [18][1880/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.7679 (2.6679) Prec@1 44.531 (42.466) Prec@5 66.406 (67.677) Epoch: [18][1890/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8176 (2.6681) Prec@1 38.281 (42.464) Prec@5 64.062 (67.675) Epoch: [18][1900/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 3.0267 (2.6684) Prec@1 39.062 (42.454) Prec@5 61.719 (67.669) Epoch: [18][1910/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.4088 (2.6684) Prec@1 43.750 (42.448) Prec@5 73.438 (67.671) Epoch: [18][1920/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.8005 (2.6685) Prec@1 42.188 (42.450) Prec@5 67.188 (67.678) Epoch: [18][1930/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.7927 (2.6685) Prec@1 41.406 (42.457) Prec@5 66.406 (67.672) Epoch: [18][1940/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.6652 (2.6692) Prec@1 46.094 (42.447) Prec@5 68.750 (67.658) Epoch: [18][1950/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7525 (2.6690) Prec@1 42.188 (42.447) Prec@5 66.406 (67.658) Epoch: [18][1960/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 3.0848 (2.6694) Prec@1 32.812 (42.440) Prec@5 58.594 (67.650) Epoch: [18][1970/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.6250 (2.6691) Prec@1 43.750 (42.446) Prec@5 73.438 (67.659) Epoch: [18][1980/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6007 (2.6692) Prec@1 44.531 (42.443) Prec@5 67.188 (67.653) Epoch: [18][1990/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.4499 (2.6682) Prec@1 47.656 (42.459) Prec@5 73.438 (67.662) Epoch: [18][2000/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.1878 (2.6679) Prec@1 51.562 (42.465) Prec@5 73.438 (67.663) Epoch: [18][2010/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.8362 (2.6674) Prec@1 39.844 (42.473) Prec@5 63.281 (67.665) Epoch: [18][2020/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.6707 (2.6671) Prec@1 42.969 (42.475) Prec@5 68.750 (67.675) Epoch: [18][2030/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.5818 (2.6675) Prec@1 40.625 (42.465) Prec@5 64.844 (67.667) Epoch: [18][2040/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.9439 (2.6676) Prec@1 38.281 (42.468) Prec@5 64.844 (67.662) Epoch: [18][2050/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.9263 (2.6681) Prec@1 42.969 (42.461) Prec@5 61.719 (67.653) Epoch: [18][2060/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.4907 (2.6683) Prec@1 40.625 (42.452) Prec@5 67.188 (67.642) Epoch: [18][2070/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.3300 (2.6685) Prec@1 45.312 (42.449) Prec@5 71.875 (67.632) Epoch: [18][2080/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.4749 (2.6689) Prec@1 46.875 (42.436) Prec@5 68.750 (67.629) Epoch: [18][2090/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6426 (2.6688) Prec@1 41.406 (42.431) Prec@5 64.062 (67.628) Epoch: [18][2100/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.6739 (2.6691) Prec@1 46.875 (42.428) Prec@5 65.625 (67.622) Epoch: [18][2110/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.7378 (2.6685) Prec@1 38.281 (42.441) Prec@5 62.500 (67.627) Epoch: [18][2120/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.5594 (2.6685) Prec@1 41.406 (42.445) Prec@5 68.750 (67.630) Epoch: [18][2130/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6135 (2.6686) Prec@1 42.969 (42.440) Prec@5 70.312 (67.627) Epoch: [18][2140/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.5376 (2.6685) Prec@1 41.406 (42.433) Prec@5 65.625 (67.631) Epoch: [18][2150/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5377 (2.6681) Prec@1 44.531 (42.439) Prec@5 71.875 (67.636) Epoch: [18][2160/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5961 (2.6681) Prec@1 41.406 (42.446) Prec@5 69.531 (67.643) Epoch: [18][2170/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.3459 (2.6677) Prec@1 48.438 (42.445) Prec@5 72.656 (67.654) Epoch: [18][2180/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.0090 (2.6677) Prec@1 35.156 (42.449) Prec@5 61.719 (67.654) Epoch: [18][2190/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.5664 (2.6676) Prec@1 45.312 (42.453) Prec@5 69.531 (67.661) Epoch: [18][2200/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.3358 (2.6671) Prec@1 46.094 (42.459) Prec@5 73.438 (67.669) Epoch: [18][2210/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.4800 (2.6670) Prec@1 47.656 (42.457) Prec@5 75.000 (67.679) Epoch: [18][2220/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.0789 (2.6673) Prec@1 32.031 (42.455) Prec@5 58.594 (67.674) Epoch: [18][2230/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.5775 (2.6674) Prec@1 40.625 (42.453) Prec@5 69.531 (67.677) Epoch: [18][2240/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.6827 (2.6682) Prec@1 42.969 (42.439) Prec@5 64.062 (67.662) Epoch: [18][2250/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5791 (2.6685) Prec@1 39.844 (42.427) Prec@5 70.312 (67.656) Epoch: [18][2260/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.8113 (2.6681) Prec@1 34.375 (42.424) Prec@5 67.969 (67.663) Epoch: [18][2270/10010] Time 0.313 (0.332) Data 0.001 (0.002) Loss 2.2180 (2.6679) Prec@1 46.875 (42.430) Prec@5 73.438 (67.664) Epoch: [18][2280/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.9725 (2.6681) Prec@1 36.719 (42.426) Prec@5 67.969 (67.662) Epoch: [18][2290/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.7607 (2.6680) Prec@1 40.625 (42.432) Prec@5 65.625 (67.666) Epoch: [18][2300/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.7785 (2.6680) Prec@1 42.188 (42.436) Prec@5 66.406 (67.671) Epoch: [18][2310/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.9614 (2.6687) Prec@1 35.156 (42.423) Prec@5 60.938 (67.662) Epoch: [18][2320/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.0165 (2.6691) Prec@1 39.844 (42.420) Prec@5 63.281 (67.652) Epoch: [18][2330/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8487 (2.6690) Prec@1 35.156 (42.421) Prec@5 64.844 (67.653) Epoch: [18][2340/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.6477 (2.6690) Prec@1 42.188 (42.424) Prec@5 67.969 (67.650) Epoch: [18][2350/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.5843 (2.6691) Prec@1 43.750 (42.422) Prec@5 69.531 (67.649) Epoch: [18][2360/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.7113 (2.6694) Prec@1 39.844 (42.419) Prec@5 66.406 (67.644) Epoch: [18][2370/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.6645 (2.6698) Prec@1 46.094 (42.417) Prec@5 63.281 (67.637) Epoch: [18][2380/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8945 (2.6699) Prec@1 42.969 (42.414) Prec@5 64.062 (67.634) Epoch: [18][2390/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6862 (2.6705) Prec@1 46.094 (42.402) Prec@5 73.438 (67.627) Epoch: [18][2400/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.5903 (2.6706) Prec@1 43.750 (42.397) Prec@5 63.281 (67.618) Epoch: [18][2410/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.2680 (2.6705) Prec@1 50.000 (42.402) Prec@5 74.219 (67.617) Epoch: [18][2420/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.4282 (2.6702) Prec@1 40.625 (42.406) Prec@5 67.969 (67.619) Epoch: [18][2430/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.6010 (2.6703) Prec@1 42.188 (42.399) Prec@5 68.750 (67.619) Epoch: [18][2440/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.6638 (2.6702) Prec@1 44.531 (42.404) Prec@5 67.969 (67.623) Epoch: [18][2450/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.3534 (2.6706) Prec@1 45.312 (42.402) Prec@5 75.781 (67.621) Epoch: [18][2460/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.9121 (2.6703) Prec@1 36.719 (42.404) Prec@5 65.625 (67.625) Epoch: [18][2470/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.0665 (2.6708) Prec@1 35.938 (42.393) Prec@5 56.250 (67.619) Epoch: [18][2480/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.7245 (2.6708) Prec@1 39.844 (42.389) Prec@5 65.625 (67.622) Epoch: [18][2490/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.9020 (2.6712) Prec@1 45.312 (42.384) Prec@5 62.500 (67.614) Epoch: [18][2500/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8430 (2.6718) Prec@1 40.625 (42.373) Prec@5 67.188 (67.611) Epoch: [18][2510/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8360 (2.6717) Prec@1 38.281 (42.375) Prec@5 61.719 (67.609) Epoch: [18][2520/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5994 (2.6717) Prec@1 41.406 (42.377) Prec@5 71.094 (67.609) Epoch: [18][2530/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7805 (2.6719) Prec@1 39.844 (42.381) Prec@5 70.312 (67.609) Epoch: [18][2540/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.9349 (2.6717) Prec@1 42.969 (42.393) Prec@5 65.625 (67.614) Epoch: [18][2550/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.3927 (2.6718) Prec@1 46.875 (42.392) Prec@5 70.312 (67.610) Epoch: [18][2560/10010] Time 0.326 (0.332) Data 0.003 (0.002) Loss 2.6445 (2.6721) Prec@1 39.062 (42.387) Prec@5 64.844 (67.603) Epoch: [18][2570/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.4598 (2.6723) Prec@1 50.000 (42.390) Prec@5 71.094 (67.602) Epoch: [18][2580/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.8456 (2.6724) Prec@1 39.062 (42.385) Prec@5 62.500 (67.597) Epoch: [18][2590/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.4210 (2.6721) Prec@1 43.750 (42.388) Prec@5 67.188 (67.601) Epoch: [18][2600/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.7127 (2.6724) Prec@1 40.625 (42.378) Prec@5 65.625 (67.594) Epoch: [18][2610/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5907 (2.6724) Prec@1 38.281 (42.377) Prec@5 68.750 (67.594) Epoch: [18][2620/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6877 (2.6723) Prec@1 45.312 (42.380) Prec@5 63.281 (67.596) Epoch: [18][2630/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.0581 (2.6724) Prec@1 39.062 (42.377) Prec@5 57.812 (67.593) Epoch: [18][2640/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.4667 (2.6726) Prec@1 47.656 (42.376) Prec@5 72.656 (67.597) Epoch: [18][2650/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6167 (2.6728) Prec@1 45.312 (42.374) Prec@5 64.062 (67.596) Epoch: [18][2660/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8937 (2.6726) Prec@1 34.375 (42.374) Prec@5 64.062 (67.603) Epoch: [18][2670/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6540 (2.6726) Prec@1 42.969 (42.372) Prec@5 67.188 (67.598) Epoch: [18][2680/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8265 (2.6728) Prec@1 37.500 (42.371) Prec@5 69.531 (67.596) Epoch: [18][2690/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8458 (2.6729) Prec@1 39.844 (42.368) Prec@5 67.188 (67.598) Epoch: [18][2700/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9042 (2.6728) Prec@1 39.062 (42.370) Prec@5 60.938 (67.598) Epoch: [18][2710/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7476 (2.6729) Prec@1 35.938 (42.367) Prec@5 64.062 (67.600) Epoch: [18][2720/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4553 (2.6724) Prec@1 47.656 (42.373) Prec@5 73.438 (67.612) Epoch: [18][2730/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5047 (2.6724) Prec@1 47.656 (42.374) Prec@5 71.094 (67.616) Epoch: [18][2740/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 2.4767 (2.6723) Prec@1 44.531 (42.371) Prec@5 67.969 (67.618) Epoch: [18][2750/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7597 (2.6722) Prec@1 38.281 (42.377) Prec@5 66.406 (67.616) Epoch: [18][2760/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8560 (2.6724) Prec@1 42.969 (42.377) Prec@5 64.844 (67.612) Epoch: [18][2770/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6430 (2.6725) Prec@1 42.188 (42.374) Prec@5 67.188 (67.616) Epoch: [18][2780/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7442 (2.6727) Prec@1 39.844 (42.361) Prec@5 67.969 (67.614) Epoch: [18][2790/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8368 (2.6723) Prec@1 47.656 (42.367) Prec@5 67.969 (67.617) Epoch: [18][2800/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.6056 (2.6723) Prec@1 46.094 (42.371) Prec@5 67.969 (67.614) Epoch: [18][2810/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5661 (2.6723) Prec@1 40.625 (42.363) Prec@5 70.312 (67.612) Epoch: [18][2820/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5008 (2.6721) Prec@1 46.094 (42.366) Prec@5 71.094 (67.617) Epoch: [18][2830/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6835 (2.6722) Prec@1 42.188 (42.362) Prec@5 67.969 (67.615) Epoch: [18][2840/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6971 (2.6726) Prec@1 36.719 (42.353) Prec@5 67.188 (67.607) Epoch: [18][2850/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.5532 (2.6724) Prec@1 45.312 (42.354) Prec@5 72.656 (67.608) Epoch: [18][2860/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7448 (2.6724) Prec@1 41.406 (42.350) Prec@5 67.969 (67.613) Epoch: [18][2870/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 3.1101 (2.6725) Prec@1 38.281 (42.352) Prec@5 61.719 (67.611) Epoch: [18][2880/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9530 (2.6722) Prec@1 39.844 (42.356) Prec@5 60.938 (67.618) Epoch: [18][2890/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5917 (2.6722) Prec@1 39.844 (42.358) Prec@5 67.969 (67.617) Epoch: [18][2900/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.5819 (2.6720) Prec@1 41.406 (42.362) Prec@5 64.844 (67.619) Epoch: [18][2910/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.3366 (2.6725) Prec@1 51.562 (42.358) Prec@5 73.438 (67.613) Epoch: [18][2920/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7648 (2.6726) Prec@1 35.938 (42.356) Prec@5 65.625 (67.609) Epoch: [18][2930/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.9376 (2.6730) Prec@1 34.375 (42.347) Prec@5 62.500 (67.605) Epoch: [18][2940/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7200 (2.6728) Prec@1 41.406 (42.346) Prec@5 67.188 (67.612) Epoch: [18][2950/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6475 (2.6727) Prec@1 42.969 (42.349) Prec@5 70.312 (67.614) Epoch: [18][2960/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7378 (2.6726) Prec@1 45.312 (42.355) Prec@5 67.969 (67.615) Epoch: [18][2970/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9404 (2.6725) Prec@1 43.750 (42.359) Prec@5 63.281 (67.614) Epoch: [18][2980/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4607 (2.6723) Prec@1 47.656 (42.366) Prec@5 70.312 (67.621) Epoch: [18][2990/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6376 (2.6724) Prec@1 42.188 (42.368) Prec@5 67.188 (67.616) Epoch: [18][3000/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8919 (2.6724) Prec@1 39.844 (42.366) Prec@5 63.281 (67.609) Epoch: [18][3010/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4536 (2.6721) Prec@1 48.438 (42.368) Prec@5 70.312 (67.612) Epoch: [18][3020/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7144 (2.6721) Prec@1 39.844 (42.367) Prec@5 70.312 (67.613) Epoch: [18][3030/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7500 (2.6721) Prec@1 47.656 (42.367) Prec@5 71.094 (67.613) Epoch: [18][3040/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4846 (2.6723) Prec@1 46.094 (42.366) Prec@5 70.312 (67.608) Epoch: [18][3050/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 3.2086 (2.6725) Prec@1 34.375 (42.366) Prec@5 64.844 (67.608) /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: [18][3060/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6450 (2.6726) Prec@1 35.938 (42.366) Prec@5 67.969 (67.608) Epoch: [18][3070/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4814 (2.6726) Prec@1 46.094 (42.364) Prec@5 71.094 (67.610) Epoch: [18][3080/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.1444 (2.6724) Prec@1 49.219 (42.368) Prec@5 78.125 (67.613) Epoch: [18][3090/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6604 (2.6724) Prec@1 42.969 (42.366) Prec@5 67.188 (67.611) Epoch: [18][3100/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6062 (2.6725) Prec@1 46.094 (42.363) Prec@5 67.188 (67.609) Epoch: [18][3110/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.2946 (2.6723) Prec@1 52.344 (42.371) Prec@5 75.781 (67.609) Epoch: [18][3120/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5820 (2.6722) Prec@1 42.969 (42.372) Prec@5 69.531 (67.608) Epoch: [18][3130/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 3.0087 (2.6722) Prec@1 35.156 (42.369) Prec@5 61.719 (67.605) Epoch: [18][3140/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5366 (2.6720) Prec@1 44.531 (42.374) Prec@5 69.531 (67.614) Epoch: [18][3150/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7841 (2.6718) Prec@1 42.969 (42.379) Prec@5 67.969 (67.616) Epoch: [18][3160/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.9879 (2.6719) Prec@1 31.250 (42.374) Prec@5 60.156 (67.613) Epoch: [18][3170/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9422 (2.6723) Prec@1 37.500 (42.369) Prec@5 66.406 (67.606) Epoch: [18][3180/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6913 (2.6723) Prec@1 43.750 (42.380) Prec@5 64.844 (67.606) Epoch: [18][3190/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7201 (2.6721) Prec@1 45.312 (42.384) Prec@5 64.844 (67.608) Epoch: [18][3200/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8584 (2.6722) Prec@1 35.938 (42.381) Prec@5 61.719 (67.606) Epoch: [18][3210/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3212 (2.6721) Prec@1 51.562 (42.382) Prec@5 66.406 (67.605) Epoch: [18][3220/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7344 (2.6723) Prec@1 41.406 (42.378) Prec@5 71.094 (67.600) Epoch: [18][3230/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8022 (2.6722) Prec@1 43.750 (42.380) Prec@5 62.500 (67.600) Epoch: [18][3240/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.4358 (2.6725) Prec@1 47.656 (42.371) Prec@5 73.438 (67.595) Epoch: [18][3250/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.2073 (2.6724) Prec@1 48.438 (42.376) Prec@5 74.219 (67.598) Epoch: [18][3260/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7012 (2.6724) Prec@1 42.188 (42.375) Prec@5 66.406 (67.599) Epoch: [18][3270/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5607 (2.6724) Prec@1 38.281 (42.378) Prec@5 70.312 (67.598) Epoch: [18][3280/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3188 (2.6723) Prec@1 46.875 (42.374) Prec@5 72.656 (67.599) Epoch: [18][3290/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9914 (2.6725) Prec@1 35.156 (42.367) Prec@5 61.719 (67.593) Epoch: [18][3300/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7511 (2.6727) Prec@1 38.281 (42.358) Prec@5 67.969 (67.595) Epoch: [18][3310/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5329 (2.6723) Prec@1 42.188 (42.363) Prec@5 69.531 (67.599) Epoch: [18][3320/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.3998 (2.6723) Prec@1 49.219 (42.363) Prec@5 73.438 (67.604) Epoch: [18][3330/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0486 (2.6721) Prec@1 35.938 (42.367) Prec@5 60.938 (67.606) Epoch: [18][3340/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6005 (2.6716) Prec@1 50.781 (42.379) Prec@5 71.094 (67.613) Epoch: [18][3350/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6900 (2.6719) Prec@1 44.531 (42.377) Prec@5 67.969 (67.609) Epoch: [18][3360/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4734 (2.6718) Prec@1 49.219 (42.374) Prec@5 67.969 (67.608) Epoch: [18][3370/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6253 (2.6719) Prec@1 38.281 (42.374) Prec@5 64.062 (67.605) Epoch: [18][3380/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6403 (2.6717) Prec@1 40.625 (42.376) Prec@5 69.531 (67.610) Epoch: [18][3390/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7042 (2.6716) Prec@1 42.969 (42.377) Prec@5 67.969 (67.612) Epoch: [18][3400/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4797 (2.6716) Prec@1 49.219 (42.380) Prec@5 71.094 (67.612) Epoch: [18][3410/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5376 (2.6712) Prec@1 41.406 (42.384) Prec@5 69.531 (67.617) Epoch: [18][3420/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.3481 (2.6714) Prec@1 47.656 (42.382) Prec@5 69.531 (67.613) Epoch: [18][3430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6601 (2.6714) Prec@1 42.188 (42.380) Prec@5 64.062 (67.608) Epoch: [18][3440/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7843 (2.6715) Prec@1 46.875 (42.383) Prec@5 65.625 (67.605) Epoch: [18][3450/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6002 (2.6714) Prec@1 42.969 (42.385) Prec@5 70.312 (67.603) Epoch: [18][3460/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5288 (2.6714) Prec@1 43.750 (42.385) Prec@5 66.406 (67.606) Epoch: [18][3470/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.3034 (2.6716) Prec@1 32.812 (42.386) Prec@5 57.031 (67.603) Epoch: [18][3480/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.2993 (2.6716) Prec@1 42.969 (42.380) Prec@5 74.219 (67.603) Epoch: [18][3490/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4856 (2.6714) Prec@1 39.062 (42.381) Prec@5 69.531 (67.604) Epoch: [18][3500/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9303 (2.6712) Prec@1 40.625 (42.383) Prec@5 66.406 (67.612) Epoch: [18][3510/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4515 (2.6709) Prec@1 37.500 (42.387) Prec@5 75.000 (67.617) Epoch: [18][3520/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5095 (2.6712) Prec@1 47.656 (42.381) Prec@5 75.000 (67.612) Epoch: [18][3530/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3326 (2.6708) Prec@1 50.781 (42.389) Prec@5 75.000 (67.619) Epoch: [18][3540/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8829 (2.6712) Prec@1 35.938 (42.377) Prec@5 60.938 (67.611) Epoch: [18][3550/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.2418 (2.6714) Prec@1 35.156 (42.371) Prec@5 62.500 (67.606) Epoch: [18][3560/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.5913 (2.6712) Prec@1 42.188 (42.375) Prec@5 67.188 (67.610) Epoch: [18][3570/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0906 (2.6709) Prec@1 49.219 (42.377) Prec@5 79.688 (67.617) Epoch: [18][3580/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9718 (2.6710) Prec@1 38.281 (42.377) Prec@5 60.938 (67.615) Epoch: [18][3590/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4841 (2.6707) Prec@1 42.188 (42.380) Prec@5 71.094 (67.621) Epoch: [18][3600/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.3891 (2.6706) Prec@1 40.625 (42.376) Prec@5 77.344 (67.620) Epoch: [18][3610/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7643 (2.6708) Prec@1 39.844 (42.369) Prec@5 64.844 (67.618) Epoch: [18][3620/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6663 (2.6706) Prec@1 38.281 (42.369) Prec@5 67.969 (67.618) Epoch: [18][3630/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5165 (2.6709) Prec@1 42.969 (42.362) Prec@5 71.094 (67.612) Epoch: [18][3640/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9836 (2.6713) Prec@1 37.500 (42.356) Prec@5 63.281 (67.605) Epoch: [18][3650/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.0919 (2.6716) Prec@1 35.156 (42.348) Prec@5 55.469 (67.597) Epoch: [18][3660/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7033 (2.6718) Prec@1 37.500 (42.344) Prec@5 64.844 (67.593) Epoch: [18][3670/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5921 (2.6717) Prec@1 43.750 (42.346) Prec@5 67.969 (67.594) Epoch: [18][3680/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5297 (2.6715) Prec@1 45.312 (42.345) Prec@5 70.312 (67.596) Epoch: [18][3690/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9043 (2.6715) Prec@1 35.156 (42.345) Prec@5 64.062 (67.597) Epoch: [18][3700/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5385 (2.6716) Prec@1 43.750 (42.347) Prec@5 67.188 (67.596) Epoch: [18][3710/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.3831 (2.6715) Prec@1 46.094 (42.349) Prec@5 67.969 (67.601) Epoch: [18][3720/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.1370 (2.6713) Prec@1 49.219 (42.355) Prec@5 71.875 (67.603) Epoch: [18][3730/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5383 (2.6713) Prec@1 45.312 (42.354) Prec@5 69.531 (67.601) Epoch: [18][3740/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4159 (2.6713) Prec@1 46.094 (42.352) Prec@5 70.312 (67.603) Epoch: [18][3750/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7588 (2.6714) Prec@1 42.188 (42.351) Prec@5 69.531 (67.606) Epoch: [18][3760/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.2644 (2.6715) Prec@1 38.281 (42.351) Prec@5 55.469 (67.601) Epoch: [18][3770/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9833 (2.6713) Prec@1 42.188 (42.357) Prec@5 63.281 (67.606) Epoch: [18][3780/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.2253 (2.6713) Prec@1 53.906 (42.359) Prec@5 74.219 (67.602) Epoch: [18][3790/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5618 (2.6714) Prec@1 45.312 (42.361) Prec@5 71.875 (67.598) Epoch: [18][3800/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2732 (2.6713) Prec@1 43.750 (42.364) Prec@5 71.875 (67.599) Epoch: [18][3810/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7801 (2.6712) Prec@1 40.625 (42.363) Prec@5 64.062 (67.601) Epoch: [18][3820/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5945 (2.6711) Prec@1 44.531 (42.369) Prec@5 72.656 (67.607) Epoch: [18][3830/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7014 (2.6708) Prec@1 43.750 (42.375) Prec@5 66.406 (67.611) Epoch: [18][3840/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5798 (2.6708) Prec@1 46.094 (42.372) Prec@5 76.562 (67.616) Epoch: [18][3850/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9461 (2.6707) Prec@1 42.969 (42.374) Prec@5 63.281 (67.617) Epoch: [18][3860/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6034 (2.6706) Prec@1 47.656 (42.379) Prec@5 70.312 (67.619) Epoch: [18][3870/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.3761 (2.6707) Prec@1 49.219 (42.372) Prec@5 73.438 (67.619) Epoch: [18][3880/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6497 (2.6707) Prec@1 40.625 (42.377) Prec@5 63.281 (67.621) Epoch: [18][3890/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8218 (2.6704) Prec@1 39.844 (42.376) Prec@5 64.062 (67.624) Epoch: [18][3900/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6896 (2.6707) Prec@1 42.188 (42.370) Prec@5 65.625 (67.617) Epoch: [18][3910/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6488 (2.6707) Prec@1 42.188 (42.369) Prec@5 68.750 (67.616) Epoch: [18][3920/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.4784 (2.6704) Prec@1 42.188 (42.371) Prec@5 67.969 (67.620) Epoch: [18][3930/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9883 (2.6705) Prec@1 33.594 (42.368) Prec@5 64.844 (67.619) Epoch: [18][3940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0301 (2.6704) Prec@1 30.469 (42.372) Prec@5 61.719 (67.620) Epoch: [18][3950/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4642 (2.6702) Prec@1 46.875 (42.372) Prec@5 75.000 (67.624) Epoch: [18][3960/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9556 (2.6700) Prec@1 38.281 (42.376) Prec@5 65.625 (67.628) Epoch: [18][3970/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6403 (2.6699) Prec@1 44.531 (42.382) Prec@5 71.094 (67.627) Epoch: [18][3980/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4818 (2.6698) Prec@1 44.531 (42.382) Prec@5 68.750 (67.629) Epoch: [18][3990/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6348 (2.6699) Prec@1 46.875 (42.381) Prec@5 67.969 (67.626) Epoch: [18][4000/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8177 (2.6700) Prec@1 39.844 (42.378) Prec@5 69.531 (67.621) Epoch: [18][4010/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8345 (2.6700) Prec@1 37.500 (42.378) Prec@5 65.625 (67.623) Epoch: [18][4020/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6352 (2.6699) Prec@1 36.719 (42.377) Prec@5 63.281 (67.622) Epoch: [18][4030/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6915 (2.6701) Prec@1 44.531 (42.377) Prec@5 65.625 (67.619) Epoch: [18][4040/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5366 (2.6700) Prec@1 40.625 (42.380) Prec@5 67.969 (67.619) Epoch: [18][4050/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6066 (2.6699) Prec@1 42.188 (42.382) Prec@5 66.406 (67.622) Epoch: [18][4060/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.2219 (2.6699) Prec@1 48.438 (42.384) Prec@5 74.219 (67.622) Epoch: [18][4070/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6895 (2.6698) Prec@1 46.094 (42.390) Prec@5 64.062 (67.624) Epoch: [18][4080/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5255 (2.6698) Prec@1 45.312 (42.390) Prec@5 67.969 (67.620) Epoch: [18][4090/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7922 (2.6699) Prec@1 36.719 (42.386) Prec@5 67.188 (67.614) Epoch: [18][4100/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.4013 (2.6699) Prec@1 52.344 (42.385) Prec@5 67.969 (67.611) Epoch: [18][4110/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7406 (2.6698) Prec@1 46.875 (42.389) Prec@5 66.406 (67.613) Epoch: [18][4120/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3620 (2.6697) Prec@1 51.562 (42.387) Prec@5 67.969 (67.613) Epoch: [18][4130/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.1143 (2.6699) Prec@1 32.812 (42.381) Prec@5 59.375 (67.610) Epoch: [18][4140/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.5047 (2.6700) Prec@1 46.875 (42.383) Prec@5 66.406 (67.608) Epoch: [18][4150/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7285 (2.6700) Prec@1 35.938 (42.383) Prec@5 67.969 (67.610) Epoch: [18][4160/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5673 (2.6700) Prec@1 46.094 (42.384) Prec@5 69.531 (67.611) Epoch: [18][4170/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9006 (2.6699) Prec@1 44.531 (42.384) Prec@5 60.938 (67.613) Epoch: [18][4180/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7908 (2.6699) Prec@1 42.188 (42.386) Prec@5 65.625 (67.612) Epoch: [18][4190/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6147 (2.6697) Prec@1 44.531 (42.392) Prec@5 69.531 (67.617) Epoch: [18][4200/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6534 (2.6698) Prec@1 38.281 (42.391) Prec@5 65.625 (67.614) Epoch: [18][4210/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6957 (2.6697) Prec@1 44.531 (42.398) Prec@5 67.969 (67.615) Epoch: [18][4220/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7401 (2.6700) Prec@1 43.750 (42.394) Prec@5 67.188 (67.608) Epoch: [18][4230/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 3.2276 (2.6701) Prec@1 32.812 (42.394) Prec@5 54.688 (67.606) Epoch: [18][4240/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.5635 (2.6701) Prec@1 50.781 (42.395) Prec@5 67.188 (67.606) Epoch: [18][4250/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5137 (2.6703) Prec@1 44.531 (42.390) Prec@5 75.781 (67.604) Epoch: [18][4260/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7208 (2.6705) Prec@1 40.625 (42.385) Prec@5 67.969 (67.604) Epoch: [18][4270/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7640 (2.6708) Prec@1 46.875 (42.381) Prec@5 69.531 (67.599) Epoch: [18][4280/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4089 (2.6706) Prec@1 43.750 (42.387) Prec@5 71.875 (67.603) Epoch: [18][4290/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7122 (2.6706) Prec@1 39.844 (42.384) Prec@5 68.750 (67.606) Epoch: [18][4300/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9588 (2.6706) Prec@1 42.188 (42.387) Prec@5 67.188 (67.608) Epoch: [18][4310/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7182 (2.6710) Prec@1 41.406 (42.378) Prec@5 72.656 (67.604) Epoch: [18][4320/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4961 (2.6711) Prec@1 42.969 (42.377) Prec@5 74.219 (67.604) Epoch: [18][4330/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.8566 (2.6711) Prec@1 37.500 (42.374) Prec@5 62.500 (67.602) Epoch: [18][4340/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.1030 (2.6712) Prec@1 35.938 (42.372) Prec@5 64.844 (67.603) Epoch: [18][4350/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6068 (2.6711) Prec@1 39.062 (42.372) Prec@5 70.312 (67.605) Epoch: [18][4360/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3406 (2.6713) Prec@1 43.750 (42.369) Prec@5 77.344 (67.604) Epoch: [18][4370/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6879 (2.6715) Prec@1 40.625 (42.364) Prec@5 67.969 (67.600) Epoch: [18][4380/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6446 (2.6715) Prec@1 43.750 (42.366) Prec@5 68.750 (67.603) Epoch: [18][4390/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.0603 (2.6715) Prec@1 40.625 (42.362) Prec@5 64.844 (67.603) Epoch: [18][4400/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6415 (2.6716) Prec@1 42.969 (42.362) Prec@5 72.656 (67.602) Epoch: [18][4410/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4892 (2.6717) Prec@1 50.000 (42.361) Prec@5 70.312 (67.601) Epoch: [18][4420/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6987 (2.6719) Prec@1 43.750 (42.358) Prec@5 67.969 (67.598) Epoch: [18][4430/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8252 (2.6719) Prec@1 43.750 (42.358) Prec@5 62.500 (67.596) Epoch: [18][4440/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4935 (2.6718) Prec@1 40.625 (42.360) Prec@5 66.406 (67.596) Epoch: [18][4450/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.1418 (2.6715) Prec@1 53.125 (42.366) Prec@5 74.219 (67.600) Epoch: [18][4460/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6433 (2.6716) Prec@1 39.844 (42.368) Prec@5 66.406 (67.602) Epoch: [18][4470/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7487 (2.6715) Prec@1 39.844 (42.368) Prec@5 67.188 (67.602) Epoch: [18][4480/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6133 (2.6714) Prec@1 46.875 (42.367) Prec@5 69.531 (67.602) Epoch: [18][4490/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6084 (2.6718) Prec@1 42.969 (42.367) Prec@5 67.188 (67.599) Epoch: [18][4500/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6615 (2.6720) Prec@1 37.500 (42.366) Prec@5 64.062 (67.592) Epoch: [18][4510/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7445 (2.6720) Prec@1 39.844 (42.361) Prec@5 66.406 (67.594) Epoch: [18][4520/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3597 (2.6719) Prec@1 42.969 (42.359) Prec@5 73.438 (67.598) Epoch: [18][4530/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8040 (2.6718) Prec@1 39.844 (42.362) Prec@5 60.156 (67.600) Epoch: [18][4540/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0203 (2.6717) Prec@1 40.625 (42.364) Prec@5 63.281 (67.598) Epoch: [18][4550/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7310 (2.6715) Prec@1 40.625 (42.364) Prec@5 67.969 (67.603) Epoch: [18][4560/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0411 (2.6717) Prec@1 34.375 (42.358) Prec@5 63.281 (67.600) Epoch: [18][4570/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7410 (2.6718) Prec@1 37.500 (42.352) Prec@5 67.188 (67.598) Epoch: [18][4580/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5066 (2.6717) Prec@1 44.531 (42.354) Prec@5 68.750 (67.599) Epoch: [18][4590/10010] Time 0.325 (0.331) Data 0.003 (0.001) Loss 2.8489 (2.6716) Prec@1 40.625 (42.356) Prec@5 67.188 (67.601) Epoch: [18][4600/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5378 (2.6716) Prec@1 46.094 (42.355) Prec@5 73.438 (67.603) Epoch: [18][4610/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6561 (2.6716) Prec@1 45.312 (42.358) Prec@5 64.844 (67.603) Epoch: [18][4620/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9629 (2.6717) Prec@1 37.500 (42.358) Prec@5 63.281 (67.601) Epoch: [18][4630/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5408 (2.6716) Prec@1 46.875 (42.361) Prec@5 68.750 (67.603) Epoch: [18][4640/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6380 (2.6717) Prec@1 41.406 (42.359) Prec@5 69.531 (67.600) Epoch: [18][4650/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5010 (2.6715) Prec@1 43.750 (42.359) Prec@5 65.625 (67.603) Epoch: [18][4660/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9131 (2.6717) Prec@1 46.094 (42.360) Prec@5 64.844 (67.603) Epoch: [18][4670/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8488 (2.6717) Prec@1 42.969 (42.361) Prec@5 61.719 (67.601) Epoch: [18][4680/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 2.6042 (2.6719) Prec@1 44.531 (42.361) Prec@5 69.531 (67.595) Epoch: [18][4690/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6107 (2.6720) Prec@1 50.781 (42.361) Prec@5 69.531 (67.593) Epoch: [18][4700/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8646 (2.6719) Prec@1 40.625 (42.360) Prec@5 64.062 (67.594) Epoch: [18][4710/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5363 (2.6720) Prec@1 39.844 (42.358) Prec@5 68.750 (67.590) Epoch: [18][4720/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9010 (2.6721) Prec@1 35.938 (42.355) Prec@5 64.844 (67.590) Epoch: [18][4730/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7275 (2.6718) Prec@1 39.062 (42.360) Prec@5 62.500 (67.592) Epoch: [18][4740/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.3863 (2.6717) Prec@1 49.219 (42.359) Prec@5 71.875 (67.594) Epoch: [18][4750/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8499 (2.6718) Prec@1 39.062 (42.357) Prec@5 68.750 (67.595) Epoch: [18][4760/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0058 (2.6720) Prec@1 37.500 (42.353) Prec@5 60.156 (67.593) Epoch: [18][4770/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.2947 (2.6719) Prec@1 51.562 (42.353) Prec@5 74.219 (67.593) Epoch: [18][4780/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.6455 (2.6720) Prec@1 43.750 (42.353) Prec@5 71.094 (67.595) Epoch: [18][4790/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8763 (2.6718) Prec@1 39.062 (42.354) Prec@5 64.062 (67.599) Epoch: [18][4800/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.1753 (2.6720) Prec@1 38.281 (42.352) Prec@5 62.500 (67.595) Epoch: [18][4810/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9060 (2.6721) Prec@1 40.625 (42.350) Prec@5 65.625 (67.592) Epoch: [18][4820/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7374 (2.6721) Prec@1 38.281 (42.350) Prec@5 64.844 (67.591) Epoch: [18][4830/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5841 (2.6722) Prec@1 46.094 (42.347) Prec@5 69.531 (67.590) Epoch: [18][4840/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5627 (2.6720) Prec@1 41.406 (42.349) Prec@5 67.969 (67.592) Epoch: [18][4850/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5287 (2.6720) Prec@1 44.531 (42.351) Prec@5 67.188 (67.591) Epoch: [18][4860/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.2757 (2.6721) Prec@1 35.156 (42.352) Prec@5 63.281 (67.590) Epoch: [18][4870/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7025 (2.6722) Prec@1 39.844 (42.350) Prec@5 67.969 (67.588) Epoch: [18][4880/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7701 (2.6723) Prec@1 42.188 (42.347) Prec@5 65.625 (67.588) Epoch: [18][4890/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7323 (2.6723) Prec@1 38.281 (42.348) Prec@5 63.281 (67.587) Epoch: [18][4900/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0129 (2.6724) Prec@1 39.844 (42.345) Prec@5 63.281 (67.584) Epoch: [18][4910/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5095 (2.6723) Prec@1 41.406 (42.346) Prec@5 64.844 (67.583) Epoch: [18][4920/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7353 (2.6721) Prec@1 42.188 (42.350) Prec@5 66.406 (67.585) Epoch: [18][4930/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6960 (2.6723) Prec@1 39.062 (42.347) Prec@5 69.531 (67.580) Epoch: [18][4940/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5126 (2.6721) Prec@1 42.188 (42.349) Prec@5 67.188 (67.584) Epoch: [18][4950/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7498 (2.6722) Prec@1 37.500 (42.346) Prec@5 70.312 (67.582) Epoch: [18][4960/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.0353 (2.6724) Prec@1 43.750 (42.343) Prec@5 61.719 (67.578) Epoch: [18][4970/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4969 (2.6725) Prec@1 44.531 (42.340) Prec@5 72.656 (67.578) Epoch: [18][4980/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.7493 (2.6725) Prec@1 41.406 (42.341) Prec@5 64.062 (67.574) Epoch: [18][4990/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5439 (2.6725) Prec@1 44.531 (42.342) Prec@5 71.094 (67.576) Epoch: [18][5000/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.9844 (2.6728) Prec@1 35.156 (42.336) Prec@5 61.719 (67.571) Epoch: [18][5010/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5084 (2.6729) Prec@1 49.219 (42.334) Prec@5 70.312 (67.571) Epoch: [18][5020/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4665 (2.6728) Prec@1 45.312 (42.330) Prec@5 72.656 (67.571) Epoch: [18][5030/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3461 (2.6729) Prec@1 44.531 (42.326) Prec@5 75.781 (67.569) Epoch: [18][5040/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7935 (2.6728) Prec@1 39.844 (42.326) Prec@5 67.969 (67.570) Epoch: [18][5050/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7282 (2.6729) Prec@1 39.844 (42.326) Prec@5 63.281 (67.568) Epoch: [18][5060/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7930 (2.6730) Prec@1 38.281 (42.322) Prec@5 64.062 (67.568) Epoch: [18][5070/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9433 (2.6730) Prec@1 36.719 (42.322) Prec@5 60.156 (67.565) Epoch: [18][5080/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9968 (2.6732) Prec@1 43.750 (42.321) Prec@5 61.719 (67.562) Epoch: [18][5090/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5496 (2.6734) Prec@1 42.188 (42.316) Prec@5 72.656 (67.557) Epoch: [18][5100/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.2480 (2.6737) Prec@1 36.719 (42.313) Prec@5 57.812 (67.554) Epoch: [18][5110/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.5914 (2.6736) Prec@1 46.094 (42.317) Prec@5 70.312 (67.556) Epoch: [18][5120/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.8566 (2.6738) Prec@1 39.062 (42.312) Prec@5 61.719 (67.552) Epoch: [18][5130/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9582 (2.6738) Prec@1 39.844 (42.315) Prec@5 63.281 (67.550) Epoch: [18][5140/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7353 (2.6741) Prec@1 40.625 (42.309) Prec@5 64.844 (67.546) Epoch: [18][5150/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.0791 (2.6743) Prec@1 39.844 (42.305) Prec@5 57.812 (67.541) Epoch: [18][5160/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3042 (2.6743) Prec@1 46.094 (42.305) Prec@5 72.656 (67.540) Epoch: [18][5170/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6397 (2.6743) Prec@1 44.531 (42.306) Prec@5 67.969 (67.540) Epoch: [18][5180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9706 (2.6742) Prec@1 42.969 (42.312) Prec@5 63.281 (67.542) Epoch: [18][5190/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6151 (2.6744) Prec@1 47.656 (42.311) Prec@5 68.750 (67.542) Epoch: [18][5200/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6336 (2.6743) Prec@1 38.281 (42.309) Prec@5 71.094 (67.541) Epoch: [18][5210/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8879 (2.6741) Prec@1 32.031 (42.311) Prec@5 66.406 (67.541) Epoch: [18][5220/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6702 (2.6741) Prec@1 44.531 (42.305) Prec@5 67.969 (67.542) Epoch: [18][5230/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6862 (2.6743) Prec@1 35.156 (42.301) Prec@5 64.062 (67.539) Epoch: [18][5240/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8499 (2.6743) Prec@1 39.062 (42.302) Prec@5 65.625 (67.541) Epoch: [18][5250/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7007 (2.6743) Prec@1 38.281 (42.302) Prec@5 68.750 (67.544) Epoch: [18][5260/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7512 (2.6744) Prec@1 42.969 (42.300) Prec@5 65.625 (67.543) Epoch: [18][5270/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0728 (2.6745) Prec@1 35.938 (42.299) Prec@5 60.938 (67.539) Epoch: [18][5280/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5710 (2.6745) Prec@1 44.531 (42.299) Prec@5 68.750 (67.539) Epoch: [18][5290/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7201 (2.6746) Prec@1 37.500 (42.299) Prec@5 66.406 (67.536) Epoch: [18][5300/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8867 (2.6746) Prec@1 32.031 (42.297) Prec@5 70.312 (67.538) Epoch: [18][5310/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7574 (2.6746) Prec@1 43.750 (42.297) Prec@5 62.500 (67.538) Epoch: [18][5320/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4328 (2.6744) Prec@1 50.781 (42.301) Prec@5 74.219 (67.541) Epoch: [18][5330/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6496 (2.6745) Prec@1 44.531 (42.299) Prec@5 65.625 (67.538) Epoch: [18][5340/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0829 (2.6746) Prec@1 39.062 (42.299) Prec@5 61.719 (67.538) Epoch: [18][5350/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7780 (2.6748) Prec@1 35.938 (42.298) Prec@5 65.625 (67.537) Epoch: [18][5360/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4492 (2.6748) Prec@1 46.094 (42.296) Prec@5 72.656 (67.535) Epoch: [18][5370/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6898 (2.6749) Prec@1 42.969 (42.296) Prec@5 68.750 (67.533) Epoch: [18][5380/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8863 (2.6750) Prec@1 41.406 (42.297) Prec@5 62.500 (67.533) Epoch: [18][5390/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3109 (2.6750) Prec@1 53.125 (42.298) Prec@5 71.875 (67.531) Epoch: [18][5400/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7806 (2.6748) Prec@1 39.062 (42.300) Prec@5 64.844 (67.534) Epoch: [18][5410/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.0234 (2.6749) Prec@1 39.844 (42.301) Prec@5 64.062 (67.531) Epoch: [18][5420/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9261 (2.6751) Prec@1 39.844 (42.299) Prec@5 66.406 (67.528) Epoch: [18][5430/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 3.1914 (2.6752) Prec@1 34.375 (42.301) Prec@5 61.719 (67.528) Epoch: [18][5440/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.3607 (2.6752) Prec@1 44.531 (42.303) Prec@5 70.312 (67.530) Epoch: [18][5450/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7422 (2.6753) Prec@1 46.875 (42.305) Prec@5 67.969 (67.526) Epoch: [18][5460/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5747 (2.6754) Prec@1 46.875 (42.304) Prec@5 69.531 (67.525) Epoch: [18][5470/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5930 (2.6755) Prec@1 41.406 (42.302) Prec@5 70.312 (67.523) Epoch: [18][5480/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7391 (2.6755) Prec@1 41.406 (42.303) Prec@5 64.844 (67.522) Epoch: [18][5490/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6142 (2.6754) Prec@1 38.281 (42.306) Prec@5 67.188 (67.523) Epoch: [18][5500/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5205 (2.6752) Prec@1 49.219 (42.307) Prec@5 73.438 (67.528) Epoch: [18][5510/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9323 (2.6753) Prec@1 42.969 (42.305) Prec@5 64.062 (67.525) Epoch: [18][5520/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5452 (2.6753) Prec@1 46.094 (42.305) Prec@5 71.094 (67.522) Epoch: [18][5530/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4282 (2.6755) Prec@1 50.000 (42.300) Prec@5 67.188 (67.520) Epoch: [18][5540/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6746 (2.6757) Prec@1 39.062 (42.301) Prec@5 67.969 (67.518) Epoch: [18][5550/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4376 (2.6756) Prec@1 42.969 (42.299) Prec@5 70.312 (67.520) Epoch: [18][5560/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4776 (2.6756) Prec@1 49.219 (42.299) Prec@5 71.875 (67.517) Epoch: [18][5570/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6268 (2.6757) Prec@1 43.750 (42.296) Prec@5 70.312 (67.516) Epoch: [18][5580/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6275 (2.6755) Prec@1 43.750 (42.298) Prec@5 69.531 (67.519) Epoch: [18][5590/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5505 (2.6756) Prec@1 45.312 (42.299) Prec@5 69.531 (67.519) Epoch: [18][5600/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6500 (2.6756) Prec@1 39.062 (42.295) Prec@5 68.750 (67.518) Epoch: [18][5610/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9099 (2.6756) Prec@1 39.844 (42.297) Prec@5 63.281 (67.517) Epoch: [18][5620/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.1100 (2.6758) Prec@1 35.938 (42.295) Prec@5 59.375 (67.514) Epoch: [18][5630/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8395 (2.6759) Prec@1 43.750 (42.296) Prec@5 64.062 (67.512) Epoch: [18][5640/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6984 (2.6758) Prec@1 38.281 (42.298) Prec@5 70.312 (67.514) Epoch: [18][5650/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9307 (2.6759) Prec@1 35.156 (42.295) Prec@5 63.281 (67.513) Epoch: [18][5660/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8549 (2.6759) Prec@1 42.188 (42.295) Prec@5 64.062 (67.513) Epoch: [18][5670/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6568 (2.6759) Prec@1 45.312 (42.297) Prec@5 65.625 (67.513) Epoch: [18][5680/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6068 (2.6758) Prec@1 46.094 (42.298) Prec@5 70.312 (67.513) Epoch: [18][5690/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9373 (2.6759) Prec@1 34.375 (42.296) Prec@5 64.062 (67.515) Epoch: [18][5700/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5347 (2.6760) Prec@1 43.750 (42.294) Prec@5 67.188 (67.514) Epoch: [18][5710/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6627 (2.6760) Prec@1 39.844 (42.291) Prec@5 66.406 (67.512) Epoch: [18][5720/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7269 (2.6760) Prec@1 39.844 (42.293) Prec@5 57.812 (67.510) Epoch: [18][5730/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6358 (2.6759) Prec@1 39.844 (42.292) Prec@5 70.312 (67.512) Epoch: [18][5740/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8171 (2.6760) Prec@1 41.406 (42.294) Prec@5 67.969 (67.512) Epoch: [18][5750/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4223 (2.6761) Prec@1 45.312 (42.291) Prec@5 71.094 (67.512) Epoch: [18][5760/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8088 (2.6761) Prec@1 38.281 (42.292) Prec@5 63.281 (67.511) Epoch: [18][5770/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8085 (2.6759) Prec@1 42.969 (42.293) Prec@5 65.625 (67.513) Epoch: [18][5780/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0427 (2.6760) Prec@1 38.281 (42.290) Prec@5 63.281 (67.511) Epoch: [18][5790/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8077 (2.6759) Prec@1 43.750 (42.292) Prec@5 65.625 (67.511) Epoch: [18][5800/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0388 (2.6760) Prec@1 35.938 (42.291) Prec@5 60.156 (67.509) Epoch: [18][5810/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5059 (2.6761) Prec@1 42.969 (42.285) Prec@5 71.094 (67.506) Epoch: [18][5820/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7885 (2.6763) Prec@1 34.375 (42.282) Prec@5 64.844 (67.503) Epoch: [18][5830/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7225 (2.6762) Prec@1 44.531 (42.283) Prec@5 66.406 (67.505) Epoch: [18][5840/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5074 (2.6763) Prec@1 48.438 (42.284) Prec@5 75.000 (67.505) Epoch: [18][5850/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9824 (2.6762) Prec@1 37.500 (42.284) Prec@5 64.062 (67.507) Epoch: [18][5860/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7724 (2.6764) Prec@1 38.281 (42.279) Prec@5 67.969 (67.504) Epoch: [18][5870/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6706 (2.6766) Prec@1 39.844 (42.276) Prec@5 65.625 (67.502) Epoch: [18][5880/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7352 (2.6767) Prec@1 42.188 (42.275) Prec@5 67.969 (67.500) Epoch: [18][5890/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4237 (2.6766) Prec@1 46.875 (42.277) Prec@5 71.875 (67.499) Epoch: [18][5900/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.0696 (2.6767) Prec@1 38.281 (42.276) Prec@5 60.156 (67.496) Epoch: [18][5910/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8489 (2.6765) Prec@1 42.188 (42.279) Prec@5 64.844 (67.499) Epoch: [18][5920/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5408 (2.6765) Prec@1 45.312 (42.280) Prec@5 66.406 (67.502) Epoch: [18][5930/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9426 (2.6766) Prec@1 41.406 (42.280) Prec@5 60.156 (67.500) Epoch: [18][5940/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7774 (2.6767) Prec@1 44.531 (42.280) Prec@5 67.188 (67.498) Epoch: [18][5950/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8913 (2.6767) Prec@1 41.406 (42.281) Prec@5 62.500 (67.497) Epoch: [18][5960/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9342 (2.6767) Prec@1 38.281 (42.278) Prec@5 57.031 (67.495) Epoch: [18][5970/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6498 (2.6768) Prec@1 42.188 (42.276) Prec@5 69.531 (67.493) Epoch: [18][5980/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8997 (2.6768) Prec@1 41.406 (42.279) Prec@5 64.062 (67.493) Epoch: [18][5990/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7350 (2.6768) Prec@1 42.188 (42.279) Prec@5 66.406 (67.494) Epoch: [18][6000/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7968 (2.6769) Prec@1 42.969 (42.278) Prec@5 66.406 (67.493) Epoch: [18][6010/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7720 (2.6769) Prec@1 37.500 (42.275) Prec@5 68.750 (67.495) Epoch: [18][6020/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8462 (2.6769) Prec@1 42.188 (42.275) Prec@5 68.750 (67.493) Epoch: [18][6030/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5654 (2.6771) Prec@1 46.875 (42.272) Prec@5 71.094 (67.490) Epoch: [18][6040/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4246 (2.6769) Prec@1 42.969 (42.275) Prec@5 73.438 (67.496) Epoch: [18][6050/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6570 (2.6770) Prec@1 43.750 (42.272) Prec@5 69.531 (67.497) Epoch: [18][6060/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.6340 (2.6769) Prec@1 41.406 (42.276) Prec@5 64.062 (67.497) Epoch: [18][6070/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7164 (2.6769) Prec@1 37.500 (42.273) Prec@5 70.312 (67.498) Epoch: [18][6080/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7315 (2.6769) Prec@1 39.062 (42.274) Prec@5 63.281 (67.499) Epoch: [18][6090/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0472 (2.6770) Prec@1 34.375 (42.272) Prec@5 64.844 (67.498) Epoch: [18][6100/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9684 (2.6772) Prec@1 35.938 (42.268) Prec@5 62.500 (67.495) Epoch: [18][6110/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2649 (2.6770) Prec@1 46.094 (42.273) Prec@5 74.219 (67.498) Epoch: [18][6120/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6249 (2.6769) Prec@1 42.969 (42.276) Prec@5 71.094 (67.501) Epoch: [18][6130/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9021 (2.6770) Prec@1 35.938 (42.273) Prec@5 64.062 (67.500) Epoch: [18][6140/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6954 (2.6770) Prec@1 39.844 (42.273) Prec@5 66.406 (67.500) Epoch: [18][6150/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7245 (2.6770) Prec@1 41.406 (42.276) Prec@5 66.406 (67.499) Epoch: [18][6160/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8986 (2.6771) Prec@1 35.938 (42.273) Prec@5 61.719 (67.496) Epoch: [18][6170/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7032 (2.6771) Prec@1 42.969 (42.272) Prec@5 64.844 (67.495) Epoch: [18][6180/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7279 (2.6769) Prec@1 40.625 (42.276) Prec@5 65.625 (67.496) Epoch: [18][6190/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7701 (2.6766) Prec@1 32.812 (42.280) Prec@5 64.844 (67.503) Epoch: [18][6200/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5147 (2.6766) Prec@1 40.625 (42.282) Prec@5 77.344 (67.504) Epoch: [18][6210/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4407 (2.6767) Prec@1 50.000 (42.281) Prec@5 68.750 (67.502) Epoch: [18][6220/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.8290 (2.6770) Prec@1 39.844 (42.276) Prec@5 64.062 (67.496) Epoch: [18][6230/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6699 (2.6769) Prec@1 46.094 (42.280) Prec@5 69.531 (67.499) Epoch: [18][6240/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6222 (2.6769) Prec@1 46.094 (42.281) Prec@5 65.625 (67.499) Epoch: [18][6250/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7184 (2.6769) Prec@1 44.531 (42.282) Prec@5 71.094 (67.498) Epoch: [18][6260/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7438 (2.6768) Prec@1 36.719 (42.286) Prec@5 64.844 (67.497) Epoch: [18][6270/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5557 (2.6768) Prec@1 40.625 (42.285) Prec@5 71.875 (67.498) Epoch: [18][6280/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.2607 (2.6769) Prec@1 46.875 (42.282) Prec@5 72.656 (67.497) Epoch: [18][6290/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6958 (2.6768) Prec@1 50.000 (42.285) Prec@5 66.406 (67.499) Epoch: [18][6300/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0479 (2.6769) Prec@1 31.250 (42.284) Prec@5 64.062 (67.498) Epoch: [18][6310/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3013 (2.6768) Prec@1 48.438 (42.285) Prec@5 71.875 (67.498) Epoch: [18][6320/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8026 (2.6768) Prec@1 35.938 (42.282) Prec@5 64.062 (67.498) Epoch: [18][6330/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.2226 (2.6768) Prec@1 53.906 (42.283) Prec@5 76.562 (67.499) Epoch: [18][6340/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6169 (2.6769) Prec@1 45.312 (42.283) Prec@5 65.625 (67.496) Epoch: [18][6350/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9019 (2.6770) Prec@1 44.531 (42.285) Prec@5 66.406 (67.495) Epoch: [18][6360/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.8101 (2.6770) Prec@1 38.281 (42.283) Prec@5 63.281 (67.494) Epoch: [18][6370/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0390 (2.6770) Prec@1 35.938 (42.284) Prec@5 58.594 (67.492) /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: [18][6380/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7310 (2.6770) Prec@1 39.844 (42.283) Prec@5 67.969 (67.494) Epoch: [18][6390/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4311 (2.6769) Prec@1 44.531 (42.281) Prec@5 70.312 (67.493) Epoch: [18][6400/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9525 (2.6770) Prec@1 38.281 (42.280) Prec@5 64.844 (67.491) Epoch: [18][6410/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6743 (2.6769) Prec@1 37.500 (42.281) Prec@5 69.531 (67.494) Epoch: [18][6420/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4785 (2.6772) Prec@1 44.531 (42.275) Prec@5 71.094 (67.490) Epoch: [18][6430/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.0141 (2.6774) Prec@1 33.594 (42.273) Prec@5 59.375 (67.487) Epoch: [18][6440/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8896 (2.6772) Prec@1 35.156 (42.276) Prec@5 60.938 (67.490) Epoch: [18][6450/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6086 (2.6772) Prec@1 40.625 (42.275) Prec@5 69.531 (67.489) Epoch: [18][6460/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5494 (2.6774) Prec@1 42.188 (42.274) Prec@5 70.312 (67.487) Epoch: [18][6470/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5492 (2.6774) Prec@1 44.531 (42.276) Prec@5 71.875 (67.488) Epoch: [18][6480/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7765 (2.6775) Prec@1 41.406 (42.272) Prec@5 63.281 (67.485) Epoch: [18][6490/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6911 (2.6776) Prec@1 41.406 (42.270) Prec@5 71.875 (67.483) Epoch: [18][6500/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6377 (2.6776) Prec@1 41.406 (42.270) Prec@5 67.188 (67.484) Epoch: [18][6510/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3457 (2.6775) Prec@1 50.781 (42.271) Prec@5 74.219 (67.486) Epoch: [18][6520/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0634 (2.6775) Prec@1 40.625 (42.269) Prec@5 59.375 (67.485) Epoch: [18][6530/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7445 (2.6774) Prec@1 40.625 (42.270) Prec@5 66.406 (67.486) Epoch: [18][6540/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6754 (2.6777) Prec@1 44.531 (42.264) Prec@5 68.750 (67.482) Epoch: [18][6550/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5684 (2.6776) Prec@1 46.094 (42.264) Prec@5 67.188 (67.480) Epoch: [18][6560/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7401 (2.6777) Prec@1 39.844 (42.262) Prec@5 70.312 (67.479) Epoch: [18][6570/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5967 (2.6777) Prec@1 40.625 (42.261) Prec@5 70.312 (67.478) Epoch: [18][6580/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3360 (2.6778) Prec@1 48.438 (42.259) Prec@5 71.094 (67.477) Epoch: [18][6590/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.8878 (2.6777) Prec@1 41.406 (42.260) Prec@5 61.719 (67.480) Epoch: [18][6600/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7975 (2.6778) Prec@1 36.719 (42.257) Prec@5 61.719 (67.475) Epoch: [18][6610/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4219 (2.6779) Prec@1 46.875 (42.255) Prec@5 70.312 (67.475) Epoch: [18][6620/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9494 (2.6780) Prec@1 40.625 (42.254) Prec@5 60.156 (67.473) Epoch: [18][6630/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8392 (2.6781) Prec@1 35.938 (42.251) Prec@5 69.531 (67.474) Epoch: [18][6640/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6256 (2.6781) Prec@1 45.312 (42.253) Prec@5 67.969 (67.475) Epoch: [18][6650/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6274 (2.6779) Prec@1 42.969 (42.254) Prec@5 68.750 (67.478) Epoch: [18][6660/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.9782 (2.6779) Prec@1 34.375 (42.255) Prec@5 60.156 (67.478) Epoch: [18][6670/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5863 (2.6779) Prec@1 41.406 (42.254) Prec@5 71.094 (67.477) Epoch: [18][6680/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7304 (2.6781) Prec@1 42.969 (42.253) Prec@5 67.969 (67.473) Epoch: [18][6690/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6636 (2.6780) Prec@1 42.188 (42.254) Prec@5 67.969 (67.476) Epoch: [18][6700/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6824 (2.6781) Prec@1 39.844 (42.255) Prec@5 66.406 (67.475) Epoch: [18][6710/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.3920 (2.6780) Prec@1 39.844 (42.254) Prec@5 75.000 (67.476) Epoch: [18][6720/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6170 (2.6780) Prec@1 44.531 (42.252) Prec@5 67.969 (67.475) Epoch: [18][6730/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9949 (2.6781) Prec@1 40.625 (42.253) Prec@5 64.062 (67.473) Epoch: [18][6740/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5943 (2.6782) Prec@1 41.406 (42.254) Prec@5 69.531 (67.471) Epoch: [18][6750/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9115 (2.6783) Prec@1 39.844 (42.252) Prec@5 63.281 (67.469) Epoch: [18][6760/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9668 (2.6783) Prec@1 35.156 (42.251) Prec@5 58.594 (67.469) Epoch: [18][6770/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6938 (2.6783) Prec@1 44.531 (42.249) Prec@5 67.969 (67.467) Epoch: [18][6780/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8864 (2.6784) Prec@1 35.938 (42.248) Prec@5 60.938 (67.465) Epoch: [18][6790/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7166 (2.6783) Prec@1 39.844 (42.251) Prec@5 60.938 (67.463) Epoch: [18][6800/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4326 (2.6782) Prec@1 45.312 (42.250) Prec@5 75.000 (67.464) Epoch: [18][6810/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6210 (2.6783) Prec@1 44.531 (42.250) Prec@5 66.406 (67.463) Epoch: [18][6820/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6870 (2.6783) Prec@1 46.094 (42.252) Prec@5 67.188 (67.463) Epoch: [18][6830/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 3.0410 (2.6785) Prec@1 35.938 (42.248) Prec@5 59.375 (67.462) Epoch: [18][6840/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5098 (2.6783) Prec@1 44.531 (42.252) Prec@5 73.438 (67.467) Epoch: [18][6850/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4591 (2.6783) Prec@1 47.656 (42.253) Prec@5 67.188 (67.465) Epoch: [18][6860/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7259 (2.6784) Prec@1 45.312 (42.253) Prec@5 65.625 (67.462) Epoch: [18][6870/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3778 (2.6784) Prec@1 47.656 (42.253) Prec@5 71.094 (67.462) Epoch: [18][6880/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7795 (2.6782) Prec@1 43.750 (42.257) Prec@5 67.969 (67.463) Epoch: [18][6890/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8770 (2.6783) Prec@1 37.500 (42.254) Prec@5 60.938 (67.461) Epoch: [18][6900/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7064 (2.6783) Prec@1 36.719 (42.253) Prec@5 64.844 (67.459) Epoch: [18][6910/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5250 (2.6782) Prec@1 47.656 (42.256) Prec@5 69.531 (67.460) Epoch: [18][6920/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7192 (2.6782) Prec@1 39.062 (42.258) Prec@5 65.625 (67.460) Epoch: [18][6930/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6850 (2.6782) Prec@1 40.625 (42.258) Prec@5 70.312 (67.461) Epoch: [18][6940/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8382 (2.6784) Prec@1 44.531 (42.255) Prec@5 60.156 (67.457) Epoch: [18][6950/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4368 (2.6784) Prec@1 40.625 (42.252) Prec@5 74.219 (67.457) Epoch: [18][6960/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.6366 (2.6787) Prec@1 39.844 (42.246) Prec@5 70.312 (67.453) Epoch: [18][6970/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4867 (2.6785) Prec@1 44.531 (42.247) Prec@5 66.406 (67.455) Epoch: [18][6980/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8854 (2.6784) Prec@1 35.156 (42.250) Prec@5 62.500 (67.458) Epoch: [18][6990/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7321 (2.6786) Prec@1 41.406 (42.247) Prec@5 71.875 (67.455) Epoch: [18][7000/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.3014 (2.6786) Prec@1 48.438 (42.246) Prec@5 78.125 (67.453) Epoch: [18][7010/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6681 (2.6786) Prec@1 42.188 (42.246) Prec@5 68.750 (67.452) Epoch: [18][7020/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5977 (2.6786) Prec@1 45.312 (42.248) Prec@5 71.875 (67.454) Epoch: [18][7030/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4833 (2.6784) Prec@1 46.094 (42.250) Prec@5 69.531 (67.454) Epoch: [18][7040/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8512 (2.6786) Prec@1 39.844 (42.249) Prec@5 62.500 (67.450) Epoch: [18][7050/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6920 (2.6788) Prec@1 35.938 (42.245) Prec@5 72.656 (67.446) Epoch: [18][7060/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3433 (2.6787) Prec@1 50.781 (42.248) Prec@5 71.094 (67.448) Epoch: [18][7070/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4375 (2.6788) Prec@1 42.969 (42.247) Prec@5 71.094 (67.444) Epoch: [18][7080/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7169 (2.6787) Prec@1 37.500 (42.248) Prec@5 68.750 (67.445) Epoch: [18][7090/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4125 (2.6786) Prec@1 42.969 (42.247) Prec@5 70.312 (67.446) Epoch: [18][7100/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9298 (2.6786) Prec@1 33.594 (42.245) Prec@5 64.062 (67.447) Epoch: [18][7110/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9620 (2.6787) Prec@1 35.156 (42.243) Prec@5 60.938 (67.446) Epoch: [18][7120/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7433 (2.6788) Prec@1 37.500 (42.238) Prec@5 69.531 (67.446) Epoch: [18][7130/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7705 (2.6789) Prec@1 41.406 (42.239) Prec@5 64.844 (67.445) Epoch: [18][7140/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7137 (2.6789) Prec@1 42.969 (42.239) Prec@5 69.531 (67.443) Epoch: [18][7150/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4737 (2.6791) Prec@1 43.750 (42.238) Prec@5 70.312 (67.439) Epoch: [18][7160/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8672 (2.6790) Prec@1 39.844 (42.241) Prec@5 64.844 (67.441) Epoch: [18][7170/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6641 (2.6791) Prec@1 42.969 (42.237) Prec@5 65.625 (67.440) Epoch: [18][7180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6809 (2.6793) Prec@1 47.656 (42.235) Prec@5 66.406 (67.437) Epoch: [18][7190/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8762 (2.6794) Prec@1 37.500 (42.233) Prec@5 63.281 (67.434) Epoch: [18][7200/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6240 (2.6793) Prec@1 41.406 (42.234) Prec@5 64.844 (67.435) Epoch: [18][7210/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.2631 (2.6793) Prec@1 30.469 (42.231) Prec@5 55.469 (67.435) Epoch: [18][7220/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7181 (2.6792) Prec@1 38.281 (42.231) Prec@5 67.188 (67.437) Epoch: [18][7230/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9997 (2.6789) Prec@1 50.781 (42.234) Prec@5 77.344 (67.441) Epoch: [18][7240/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8622 (2.6790) Prec@1 41.406 (42.233) Prec@5 67.188 (67.439) Epoch: [18][7250/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7128 (2.6790) Prec@1 42.969 (42.233) Prec@5 67.969 (67.439) /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: [18][7260/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7893 (2.6790) Prec@1 39.844 (42.233) Prec@5 66.406 (67.438) Epoch: [18][7270/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7869 (2.6790) Prec@1 45.312 (42.234) Prec@5 68.750 (67.436) Epoch: [18][7280/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8166 (2.6791) Prec@1 39.844 (42.230) Prec@5 65.625 (67.435) Epoch: [18][7290/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7114 (2.6793) Prec@1 45.312 (42.227) Prec@5 68.750 (67.432) Epoch: [18][7300/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7327 (2.6793) Prec@1 46.094 (42.226) Prec@5 64.062 (67.432) Epoch: [18][7310/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6322 (2.6793) Prec@1 39.844 (42.225) Prec@5 65.625 (67.432) Epoch: [18][7320/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6206 (2.6792) Prec@1 40.625 (42.225) Prec@5 68.750 (67.433) Epoch: [18][7330/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6032 (2.6792) Prec@1 42.188 (42.225) Prec@5 72.656 (67.434) Epoch: [18][7340/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5685 (2.6793) Prec@1 46.094 (42.223) Prec@5 68.750 (67.431) Epoch: [18][7350/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8262 (2.6795) Prec@1 41.406 (42.219) Prec@5 63.281 (67.429) Epoch: [18][7360/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5148 (2.6793) Prec@1 46.875 (42.223) Prec@5 68.750 (67.432) Epoch: [18][7370/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4272 (2.6792) Prec@1 47.656 (42.222) Prec@5 70.312 (67.432) Epoch: [18][7380/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8849 (2.6793) Prec@1 38.281 (42.221) Prec@5 63.281 (67.432) Epoch: [18][7390/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6754 (2.6792) Prec@1 38.281 (42.222) Prec@5 62.500 (67.433) Epoch: [18][7400/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6192 (2.6792) Prec@1 45.312 (42.222) Prec@5 71.094 (67.432) Epoch: [18][7410/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.3647 (2.6791) Prec@1 47.656 (42.224) Prec@5 72.656 (67.434) Epoch: [18][7420/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9277 (2.6791) Prec@1 39.844 (42.225) Prec@5 64.062 (67.434) Epoch: [18][7430/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9931 (2.6793) Prec@1 45.312 (42.223) Prec@5 62.500 (67.429) Epoch: [18][7440/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8447 (2.6794) Prec@1 40.625 (42.224) Prec@5 63.281 (67.426) Epoch: [18][7450/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7537 (2.6794) Prec@1 41.406 (42.224) Prec@5 68.750 (67.427) Epoch: [18][7460/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.1431 (2.6793) Prec@1 37.500 (42.226) Prec@5 57.812 (67.427) Epoch: [18][7470/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5985 (2.6793) Prec@1 42.188 (42.225) Prec@5 69.531 (67.426) Epoch: [18][7480/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6128 (2.6796) Prec@1 42.969 (42.221) Prec@5 66.406 (67.422) Epoch: [18][7490/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7270 (2.6795) Prec@1 43.750 (42.222) Prec@5 68.750 (67.425) Epoch: [18][7500/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6218 (2.6793) Prec@1 42.188 (42.223) Prec@5 67.188 (67.427) Epoch: [18][7510/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5405 (2.6793) Prec@1 46.875 (42.222) Prec@5 71.094 (67.428) Epoch: [18][7520/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.1203 (2.6792) Prec@1 47.656 (42.225) Prec@5 75.781 (67.430) Epoch: [18][7530/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8078 (2.6792) Prec@1 41.406 (42.225) Prec@5 64.062 (67.429) Epoch: [18][7540/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6622 (2.6793) Prec@1 42.969 (42.223) Prec@5 64.844 (67.427) Epoch: [18][7550/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7217 (2.6792) Prec@1 45.312 (42.225) Prec@5 65.625 (67.429) Epoch: [18][7560/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7336 (2.6790) Prec@1 41.406 (42.226) Prec@5 71.094 (67.432) Epoch: [18][7570/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5727 (2.6790) Prec@1 40.625 (42.225) Prec@5 71.875 (67.434) Epoch: [18][7580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8010 (2.6790) Prec@1 42.188 (42.225) Prec@5 64.844 (67.433) Epoch: [18][7590/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5182 (2.6790) Prec@1 46.094 (42.225) Prec@5 66.406 (67.434) Epoch: [18][7600/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.1403 (2.6791) Prec@1 29.688 (42.222) Prec@5 64.062 (67.434) Epoch: [18][7610/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5821 (2.6791) Prec@1 44.531 (42.223) Prec@5 70.312 (67.435) Epoch: [18][7620/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8986 (2.6790) Prec@1 40.625 (42.223) Prec@5 64.062 (67.436) Epoch: [18][7630/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7434 (2.6790) Prec@1 40.625 (42.223) Prec@5 64.062 (67.435) Epoch: [18][7640/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7293 (2.6789) Prec@1 40.625 (42.226) Prec@5 66.406 (67.438) Epoch: [18][7650/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4815 (2.6789) Prec@1 42.969 (42.226) Prec@5 68.750 (67.437) Epoch: [18][7660/10010] Time 0.308 (0.331) Data 0.001 (0.001) Loss 2.7609 (2.6789) Prec@1 41.406 (42.225) Prec@5 60.938 (67.436) Epoch: [18][7670/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6019 (2.6790) Prec@1 47.656 (42.225) Prec@5 71.094 (67.434) Epoch: [18][7680/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.2895 (2.6789) Prec@1 46.875 (42.226) Prec@5 72.656 (67.434) Epoch: [18][7690/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4674 (2.6790) Prec@1 49.219 (42.225) Prec@5 74.219 (67.431) Epoch: [18][7700/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8855 (2.6791) Prec@1 41.406 (42.224) Prec@5 60.156 (67.430) Epoch: [18][7710/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8832 (2.6791) Prec@1 41.406 (42.223) Prec@5 61.719 (67.428) Epoch: [18][7720/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6265 (2.6792) Prec@1 42.969 (42.222) Prec@5 66.406 (67.427) Epoch: [18][7730/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6969 (2.6792) Prec@1 39.062 (42.221) Prec@5 65.625 (67.425) Epoch: [18][7740/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5648 (2.6790) Prec@1 45.312 (42.223) Prec@5 71.094 (67.430) Epoch: [18][7750/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8961 (2.6791) Prec@1 39.062 (42.222) Prec@5 64.062 (67.428) Epoch: [18][7760/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6040 (2.6793) Prec@1 39.844 (42.219) Prec@5 71.875 (67.425) Epoch: [18][7770/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5777 (2.6793) Prec@1 50.781 (42.218) Prec@5 68.750 (67.422) Epoch: [18][7780/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.9287 (2.6794) Prec@1 39.844 (42.217) Prec@5 63.281 (67.422) Epoch: [18][7790/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4574 (2.6793) Prec@1 41.406 (42.219) Prec@5 71.094 (67.423) Epoch: [18][7800/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4842 (2.6794) Prec@1 39.062 (42.217) Prec@5 71.875 (67.423) Epoch: [18][7810/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.0612 (2.6795) Prec@1 35.156 (42.215) Prec@5 60.156 (67.421) Epoch: [18][7820/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6268 (2.6794) Prec@1 44.531 (42.215) Prec@5 68.750 (67.421) Epoch: [18][7830/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7848 (2.6794) Prec@1 39.844 (42.217) Prec@5 64.062 (67.421) Epoch: [18][7840/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.3317 (2.6793) Prec@1 52.344 (42.220) Prec@5 71.875 (67.422) Epoch: [18][7850/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6613 (2.6794) Prec@1 44.531 (42.218) Prec@5 69.531 (67.421) Epoch: [18][7860/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.4806 (2.6795) Prec@1 35.938 (42.218) Prec@5 53.906 (67.419) Epoch: [18][7870/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8962 (2.6796) Prec@1 37.500 (42.216) Prec@5 61.719 (67.419) Epoch: [18][7880/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.3028 (2.6795) Prec@1 50.781 (42.218) Prec@5 72.656 (67.420) Epoch: [18][7890/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4719 (2.6796) Prec@1 49.219 (42.219) Prec@5 70.312 (67.419) Epoch: [18][7900/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.4604 (2.6795) Prec@1 44.531 (42.220) Prec@5 74.219 (67.421) Epoch: [18][7910/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6643 (2.6794) Prec@1 47.656 (42.222) Prec@5 67.188 (67.424) Epoch: [18][7920/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.1499 (2.6795) Prec@1 34.375 (42.221) Prec@5 62.500 (67.421) Epoch: [18][7930/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6013 (2.6796) Prec@1 42.188 (42.220) Prec@5 67.969 (67.419) Epoch: [18][7940/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.4312 (2.6796) Prec@1 49.219 (42.221) Prec@5 70.312 (67.419) Epoch: [18][7950/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4951 (2.6795) Prec@1 42.969 (42.224) Prec@5 69.531 (67.421) Epoch: [18][7960/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.9040 (2.6796) Prec@1 42.969 (42.225) Prec@5 64.062 (67.420) Epoch: [18][7970/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6166 (2.6795) Prec@1 43.750 (42.226) Prec@5 68.750 (67.420) Epoch: [18][7980/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4624 (2.6796) Prec@1 47.656 (42.224) Prec@5 71.875 (67.419) Epoch: [18][7990/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5628 (2.6796) Prec@1 43.750 (42.222) Prec@5 64.062 (67.419) Epoch: [18][8000/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4925 (2.6796) Prec@1 46.094 (42.224) Prec@5 71.875 (67.420) Epoch: [18][8010/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6130 (2.6795) Prec@1 44.531 (42.227) Prec@5 71.094 (67.421) Epoch: [18][8020/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0395 (2.6796) Prec@1 32.812 (42.226) Prec@5 64.062 (67.418) Epoch: [18][8030/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7948 (2.6795) Prec@1 39.062 (42.226) Prec@5 63.281 (67.420) Epoch: [18][8040/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5445 (2.6795) Prec@1 50.000 (42.227) Prec@5 68.750 (67.420) Epoch: [18][8050/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3229 (2.6794) Prec@1 47.656 (42.231) Prec@5 71.094 (67.421) Epoch: [18][8060/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5900 (2.6793) Prec@1 45.312 (42.233) Prec@5 69.531 (67.423) Epoch: [18][8070/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6120 (2.6792) Prec@1 40.625 (42.234) Prec@5 69.531 (67.424) Epoch: [18][8080/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.3121 (2.6793) Prec@1 51.562 (42.234) Prec@5 75.000 (67.424) Epoch: [18][8090/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4803 (2.6793) Prec@1 46.094 (42.235) Prec@5 71.875 (67.423) Epoch: [18][8100/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6384 (2.6793) Prec@1 45.312 (42.233) Prec@5 66.406 (67.422) Epoch: [18][8110/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6937 (2.6793) Prec@1 46.094 (42.237) Prec@5 68.750 (67.422) Epoch: [18][8120/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7493 (2.6794) Prec@1 40.625 (42.237) Prec@5 64.062 (67.420) Epoch: [18][8130/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8718 (2.6794) Prec@1 36.719 (42.236) Prec@5 61.719 (67.420) Epoch: [18][8140/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5491 (2.6795) Prec@1 42.188 (42.236) Prec@5 71.094 (67.419) Epoch: [18][8150/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6976 (2.6795) Prec@1 42.188 (42.234) Prec@5 64.844 (67.419) Epoch: [18][8160/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.3788 (2.6793) Prec@1 48.438 (42.236) Prec@5 71.875 (67.421) Epoch: [18][8170/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4521 (2.6793) Prec@1 46.094 (42.237) Prec@5 71.875 (67.422) Epoch: [18][8180/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8441 (2.6793) Prec@1 39.844 (42.235) Prec@5 63.281 (67.422) Epoch: [18][8190/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8970 (2.6795) Prec@1 40.625 (42.233) Prec@5 62.500 (67.418) Epoch: [18][8200/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4722 (2.6793) Prec@1 39.844 (42.236) Prec@5 68.750 (67.421) Epoch: [18][8210/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7375 (2.6793) Prec@1 45.312 (42.237) Prec@5 67.188 (67.421) Epoch: [18][8220/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4713 (2.6794) Prec@1 43.750 (42.235) Prec@5 67.969 (67.422) Epoch: [18][8230/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.3783 (2.6794) Prec@1 46.094 (42.234) Prec@5 68.750 (67.420) Epoch: [18][8240/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4056 (2.6793) Prec@1 44.531 (42.235) Prec@5 72.656 (67.420) Epoch: [18][8250/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4003 (2.6795) Prec@1 47.656 (42.232) Prec@5 72.656 (67.419) Epoch: [18][8260/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.9108 (2.6794) Prec@1 35.156 (42.231) Prec@5 60.156 (67.419) Epoch: [18][8270/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7898 (2.6795) Prec@1 40.625 (42.232) Prec@5 64.062 (67.418) Epoch: [18][8280/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0201 (2.6795) Prec@1 35.938 (42.231) Prec@5 64.062 (67.417) Epoch: [18][8290/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0001 (2.6796) Prec@1 36.719 (42.229) Prec@5 60.938 (67.415) Epoch: [18][8300/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.0193 (2.6796) Prec@1 38.281 (42.230) Prec@5 60.156 (67.415) Epoch: [18][8310/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5704 (2.6796) Prec@1 40.625 (42.230) Prec@5 71.875 (67.415) Epoch: [18][8320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6876 (2.6794) Prec@1 43.750 (42.232) Prec@5 68.750 (67.416) Epoch: [18][8330/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3790 (2.6794) Prec@1 41.406 (42.232) Prec@5 75.000 (67.417) Epoch: [18][8340/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7398 (2.6793) Prec@1 40.625 (42.235) Prec@5 66.406 (67.418) Epoch: [18][8350/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5837 (2.6793) Prec@1 44.531 (42.235) Prec@5 67.188 (67.418) Epoch: [18][8360/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6871 (2.6793) Prec@1 40.625 (42.236) Prec@5 63.281 (67.416) Epoch: [18][8370/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3876 (2.6793) Prec@1 46.094 (42.236) Prec@5 69.531 (67.416) Epoch: [18][8380/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6490 (2.6794) Prec@1 46.094 (42.231) Prec@5 66.406 (67.414) Epoch: [18][8390/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3129 (2.6795) Prec@1 50.781 (42.229) Prec@5 74.219 (67.413) Epoch: [18][8400/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7502 (2.6795) Prec@1 39.062 (42.229) Prec@5 60.156 (67.413) Epoch: [18][8410/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7073 (2.6795) Prec@1 46.875 (42.229) Prec@5 64.062 (67.411) Epoch: [18][8420/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9528 (2.6796) Prec@1 34.375 (42.227) Prec@5 62.500 (67.410) Epoch: [18][8430/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4930 (2.6798) Prec@1 47.656 (42.225) Prec@5 67.969 (67.409) Epoch: [18][8440/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6983 (2.6799) Prec@1 36.719 (42.220) Prec@5 70.312 (67.406) Epoch: [18][8450/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.3424 (2.6800) Prec@1 46.094 (42.218) Prec@5 73.438 (67.404) Epoch: [18][8460/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0072 (2.6800) Prec@1 39.844 (42.220) Prec@5 63.281 (67.405) Epoch: [18][8470/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0467 (2.6800) Prec@1 35.938 (42.220) Prec@5 57.031 (67.403) Epoch: [18][8480/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6750 (2.6801) Prec@1 44.531 (42.218) Prec@5 70.312 (67.402) Epoch: [18][8490/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0521 (2.6801) Prec@1 35.156 (42.218) Prec@5 62.500 (67.404) Epoch: [18][8500/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5252 (2.6799) Prec@1 45.312 (42.219) Prec@5 71.875 (67.405) Epoch: [18][8510/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7244 (2.6800) Prec@1 39.844 (42.218) Prec@5 67.188 (67.404) Epoch: [18][8520/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5974 (2.6799) Prec@1 45.312 (42.218) Prec@5 68.750 (67.406) Epoch: [18][8530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5414 (2.6798) Prec@1 42.969 (42.219) Prec@5 71.094 (67.408) Epoch: [18][8540/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6977 (2.6799) Prec@1 38.281 (42.217) Prec@5 71.875 (67.408) Epoch: [18][8550/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8990 (2.6801) Prec@1 42.969 (42.213) Prec@5 66.406 (67.407) Epoch: [18][8560/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0665 (2.6801) Prec@1 36.719 (42.213) Prec@5 64.844 (67.406) Epoch: [18][8570/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8735 (2.6802) Prec@1 39.062 (42.213) Prec@5 60.938 (67.404) Epoch: [18][8580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8348 (2.6804) Prec@1 47.656 (42.211) Prec@5 64.844 (67.401) Epoch: [18][8590/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7017 (2.6805) Prec@1 40.625 (42.208) Prec@5 63.281 (67.397) Epoch: [18][8600/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8435 (2.6804) Prec@1 35.156 (42.208) Prec@5 64.062 (67.398) Epoch: [18][8610/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9876 (2.6804) Prec@1 39.844 (42.208) Prec@5 63.281 (67.397) Epoch: [18][8620/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4639 (2.6804) Prec@1 38.281 (42.207) Prec@5 71.875 (67.399) Epoch: [18][8630/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.3413 (2.6804) Prec@1 47.656 (42.208) Prec@5 71.094 (67.400) Epoch: [18][8640/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6452 (2.6804) Prec@1 39.844 (42.209) Prec@5 66.406 (67.400) Epoch: [18][8650/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3082 (2.6802) Prec@1 45.312 (42.213) Prec@5 69.531 (67.405) Epoch: [18][8660/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8006 (2.6802) Prec@1 46.875 (42.214) Prec@5 65.625 (67.405) Epoch: [18][8670/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7675 (2.6801) Prec@1 40.625 (42.216) Prec@5 65.625 (67.405) Epoch: [18][8680/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8272 (2.6801) Prec@1 47.656 (42.217) Prec@5 62.500 (67.405) Epoch: [18][8690/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6288 (2.6801) Prec@1 39.844 (42.216) Prec@5 70.312 (67.406) Epoch: [18][8700/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6418 (2.6801) Prec@1 39.844 (42.215) Prec@5 70.312 (67.406) Epoch: [18][8710/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8160 (2.6801) Prec@1 41.406 (42.214) Prec@5 64.844 (67.405) Epoch: [18][8720/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6491 (2.6801) Prec@1 42.188 (42.213) Prec@5 67.969 (67.405) Epoch: [18][8730/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8381 (2.6801) Prec@1 41.406 (42.212) Prec@5 64.062 (67.405) Epoch: [18][8740/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0897 (2.6803) Prec@1 35.156 (42.209) Prec@5 63.281 (67.402) Epoch: [18][8750/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5838 (2.6804) Prec@1 46.094 (42.208) Prec@5 70.312 (67.400) Epoch: [18][8760/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6536 (2.6803) Prec@1 38.281 (42.209) Prec@5 71.875 (67.401) Epoch: [18][8770/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.3578 (2.6802) Prec@1 45.312 (42.207) Prec@5 76.562 (67.403) Epoch: [18][8780/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7137 (2.6802) Prec@1 45.312 (42.208) Prec@5 68.750 (67.403) Epoch: [18][8790/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8472 (2.6803) Prec@1 39.062 (42.207) Prec@5 60.156 (67.403) Epoch: [18][8800/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.9134 (2.6803) Prec@1 42.188 (42.205) Prec@5 67.969 (67.401) Epoch: [18][8810/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5719 (2.6803) Prec@1 44.531 (42.204) Prec@5 64.062 (67.401) Epoch: [18][8820/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7318 (2.6804) Prec@1 40.625 (42.202) Prec@5 68.750 (67.401) Epoch: [18][8830/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3053 (2.6804) Prec@1 47.656 (42.201) Prec@5 72.656 (67.399) Epoch: [18][8840/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9673 (2.6804) Prec@1 37.500 (42.203) Prec@5 64.844 (67.401) Epoch: [18][8850/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9437 (2.6805) Prec@1 37.500 (42.203) Prec@5 67.969 (67.401) Epoch: [18][8860/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5433 (2.6805) Prec@1 45.312 (42.202) Prec@5 72.656 (67.400) Epoch: [18][8870/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6836 (2.6806) Prec@1 46.094 (42.201) Prec@5 64.062 (67.397) Epoch: [18][8880/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4642 (2.6806) Prec@1 46.094 (42.201) Prec@5 71.094 (67.397) Epoch: [18][8890/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7868 (2.6807) Prec@1 33.594 (42.200) Prec@5 67.188 (67.395) Epoch: [18][8900/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5819 (2.6808) Prec@1 42.969 (42.197) Prec@5 67.969 (67.394) Epoch: [18][8910/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.3205 (2.6807) Prec@1 46.094 (42.200) Prec@5 75.000 (67.397) Epoch: [18][8920/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7352 (2.6806) Prec@1 43.750 (42.202) Prec@5 65.625 (67.398) Epoch: [18][8930/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9481 (2.6808) Prec@1 39.062 (42.201) Prec@5 64.062 (67.395) Epoch: [18][8940/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.7173 (2.6807) Prec@1 39.844 (42.202) Prec@5 65.625 (67.395) Epoch: [18][8950/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8042 (2.6807) Prec@1 40.625 (42.203) Prec@5 67.969 (67.396) Epoch: [18][8960/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3982 (2.6808) Prec@1 53.125 (42.201) Prec@5 71.875 (67.394) Epoch: [18][8970/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6430 (2.6809) Prec@1 44.531 (42.200) Prec@5 69.531 (67.395) Epoch: [18][8980/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7686 (2.6809) Prec@1 46.094 (42.200) Prec@5 66.406 (67.394) Epoch: [18][8990/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5065 (2.6810) Prec@1 45.312 (42.199) Prec@5 71.094 (67.394) Epoch: [18][9000/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8467 (2.6811) Prec@1 36.719 (42.196) Prec@5 66.406 (67.391) Epoch: [18][9010/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.9082 (2.6812) Prec@1 45.312 (42.195) Prec@5 65.625 (67.392) Epoch: [18][9020/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9421 (2.6813) Prec@1 42.969 (42.193) Prec@5 65.625 (67.390) Epoch: [18][9030/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7549 (2.6813) Prec@1 39.062 (42.191) Prec@5 62.500 (67.390) Epoch: [18][9040/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7174 (2.6813) Prec@1 39.062 (42.190) Prec@5 67.969 (67.389) Epoch: [18][9050/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7357 (2.6813) Prec@1 45.312 (42.191) Prec@5 62.500 (67.389) Epoch: [18][9060/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5529 (2.6813) Prec@1 46.875 (42.191) Prec@5 71.875 (67.389) Epoch: [18][9070/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4095 (2.6813) Prec@1 46.875 (42.191) Prec@5 73.438 (67.388) Epoch: [18][9080/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8032 (2.6811) Prec@1 39.844 (42.194) Prec@5 63.281 (67.390) Epoch: [18][9090/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6396 (2.6811) Prec@1 42.969 (42.194) Prec@5 71.094 (67.390) Epoch: [18][9100/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7553 (2.6812) Prec@1 44.531 (42.195) Prec@5 71.094 (67.391) Epoch: [18][9110/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6279 (2.6811) Prec@1 47.656 (42.198) Prec@5 67.969 (67.393) Epoch: [18][9120/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8916 (2.6811) Prec@1 40.625 (42.195) Prec@5 67.969 (67.392) Epoch: [18][9130/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9142 (2.6812) Prec@1 38.281 (42.193) Prec@5 62.500 (67.391) Epoch: [18][9140/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.8273 (2.6812) Prec@1 40.625 (42.190) Prec@5 62.500 (67.390) Epoch: [18][9150/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6388 (2.6813) Prec@1 46.875 (42.190) Prec@5 70.312 (67.389) Epoch: [18][9160/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5626 (2.6814) Prec@1 44.531 (42.185) Prec@5 74.219 (67.389) Epoch: [18][9170/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8753 (2.6815) Prec@1 39.844 (42.185) Prec@5 66.406 (67.387) Epoch: [18][9180/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7902 (2.6815) Prec@1 39.062 (42.182) Prec@5 67.188 (67.385) Epoch: [18][9190/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0342 (2.6816) Prec@1 36.719 (42.181) Prec@5 62.500 (67.385) Epoch: [18][9200/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7352 (2.6817) Prec@1 39.844 (42.177) Prec@5 67.188 (67.383) Epoch: [18][9210/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.0093 (2.6818) Prec@1 40.625 (42.177) Prec@5 65.625 (67.381) Epoch: [18][9220/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7753 (2.6819) Prec@1 41.406 (42.175) Prec@5 64.844 (67.380) Epoch: [18][9230/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6984 (2.6819) Prec@1 41.406 (42.174) Prec@5 64.062 (67.381) Epoch: [18][9240/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8661 (2.6820) Prec@1 41.406 (42.173) Prec@5 60.156 (67.379) Epoch: [18][9250/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5000 (2.6820) Prec@1 44.531 (42.175) Prec@5 70.312 (67.379) Epoch: [18][9260/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7878 (2.6821) Prec@1 39.844 (42.174) Prec@5 69.531 (67.377) Epoch: [18][9270/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5404 (2.6820) Prec@1 42.188 (42.174) Prec@5 73.438 (67.379) Epoch: [18][9280/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6933 (2.6820) Prec@1 44.531 (42.172) Prec@5 62.500 (67.377) Epoch: [18][9290/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2986 (2.6820) Prec@1 40.625 (42.172) Prec@5 72.656 (67.377) Epoch: [18][9300/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4437 (2.6819) Prec@1 46.875 (42.175) Prec@5 68.750 (67.377) Epoch: [18][9310/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6053 (2.6818) Prec@1 43.750 (42.176) Prec@5 62.500 (67.378) Epoch: [18][9320/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9777 (2.6819) Prec@1 46.875 (42.176) Prec@5 63.281 (67.378) Epoch: [18][9330/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7998 (2.6818) Prec@1 40.625 (42.178) Prec@5 64.062 (67.379) Epoch: [18][9340/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9159 (2.6818) Prec@1 41.406 (42.178) Prec@5 64.062 (67.378) Epoch: [18][9350/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6658 (2.6820) Prec@1 36.719 (42.177) Prec@5 67.969 (67.376) Epoch: [18][9360/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6623 (2.6820) Prec@1 42.188 (42.178) Prec@5 69.531 (67.376) Epoch: [18][9370/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4029 (2.6819) Prec@1 42.188 (42.178) Prec@5 76.562 (67.376) Epoch: [18][9380/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5284 (2.6820) Prec@1 43.750 (42.177) Prec@5 71.875 (67.376) Epoch: [18][9390/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6796 (2.6820) Prec@1 41.406 (42.175) Prec@5 67.188 (67.375) Epoch: [18][9400/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8879 (2.6820) Prec@1 35.938 (42.173) Prec@5 64.844 (67.374) Epoch: [18][9410/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6905 (2.6820) Prec@1 41.406 (42.173) Prec@5 69.531 (67.373) Epoch: [18][9420/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6127 (2.6822) Prec@1 42.188 (42.170) Prec@5 67.969 (67.370) Epoch: [18][9430/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8731 (2.6823) Prec@1 35.156 (42.167) Prec@5 64.062 (67.368) Epoch: [18][9440/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8164 (2.6823) Prec@1 39.062 (42.167) Prec@5 65.625 (67.366) Epoch: [18][9450/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5155 (2.6823) Prec@1 45.312 (42.167) Prec@5 71.094 (67.367) Epoch: [18][9460/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5476 (2.6823) Prec@1 41.406 (42.167) Prec@5 67.969 (67.368) Epoch: [18][9470/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.0810 (2.6823) Prec@1 37.500 (42.166) Prec@5 57.031 (67.366) Epoch: [18][9480/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7660 (2.6822) Prec@1 38.281 (42.166) Prec@5 64.844 (67.368) Epoch: [18][9490/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5667 (2.6822) Prec@1 45.312 (42.169) Prec@5 71.094 (67.370) Epoch: [18][9500/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.5176 (2.6822) Prec@1 49.219 (42.169) Prec@5 75.781 (67.369) Epoch: [18][9510/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7818 (2.6822) Prec@1 45.312 (42.168) Prec@5 62.500 (67.369) Epoch: [18][9520/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.9580 (2.6823) Prec@1 39.844 (42.166) Prec@5 67.969 (67.368) Epoch: [18][9530/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.5655 (2.6822) Prec@1 42.969 (42.166) Prec@5 68.750 (67.370) Epoch: [18][9540/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5502 (2.6822) Prec@1 42.188 (42.165) Prec@5 74.219 (67.371) Epoch: [18][9550/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9388 (2.6822) Prec@1 39.062 (42.166) Prec@5 65.625 (67.372) Epoch: [18][9560/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9160 (2.6823) Prec@1 39.844 (42.166) Prec@5 61.719 (67.371) Epoch: [18][9570/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7984 (2.6823) Prec@1 42.969 (42.166) Prec@5 64.844 (67.369) /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: [18][9580/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7411 (2.6824) Prec@1 45.312 (42.165) Prec@5 65.625 (67.368) Epoch: [18][9590/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8083 (2.6823) Prec@1 43.750 (42.168) Prec@5 67.188 (67.369) Epoch: [18][9600/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5689 (2.6823) Prec@1 42.969 (42.169) Prec@5 69.531 (67.369) Epoch: [18][9610/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5977 (2.6823) Prec@1 44.531 (42.168) Prec@5 68.750 (67.367) Epoch: [18][9620/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7662 (2.6823) Prec@1 39.062 (42.168) Prec@5 65.625 (67.368) Epoch: [18][9630/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7124 (2.6823) Prec@1 43.750 (42.168) Prec@5 71.875 (67.369) Epoch: [18][9640/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6174 (2.6822) Prec@1 44.531 (42.171) Prec@5 66.406 (67.371) Epoch: [18][9650/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7924 (2.6822) Prec@1 37.500 (42.169) Prec@5 63.281 (67.371) Epoch: [18][9660/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 3.1156 (2.6822) Prec@1 37.500 (42.170) Prec@5 55.469 (67.369) Epoch: [18][9670/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.3735 (2.6822) Prec@1 43.750 (42.169) Prec@5 73.438 (67.368) Epoch: [18][9680/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6872 (2.6822) Prec@1 45.312 (42.169) Prec@5 72.656 (67.370) Epoch: [18][9690/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6968 (2.6821) Prec@1 40.625 (42.171) Prec@5 67.969 (67.371) Epoch: [18][9700/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5349 (2.6820) Prec@1 43.750 (42.171) Prec@5 74.219 (67.373) Epoch: [18][9710/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5484 (2.6820) Prec@1 44.531 (42.172) Prec@5 67.969 (67.374) Epoch: [18][9720/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8081 (2.6822) Prec@1 42.969 (42.170) Prec@5 67.188 (67.372) Epoch: [18][9730/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6220 (2.6822) Prec@1 40.625 (42.170) Prec@5 65.625 (67.371) Epoch: [18][9740/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7338 (2.6822) Prec@1 42.188 (42.169) Prec@5 60.938 (67.371) Epoch: [18][9750/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7503 (2.6822) Prec@1 39.062 (42.168) Prec@5 66.406 (67.370) Epoch: [18][9760/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7108 (2.6822) Prec@1 42.188 (42.167) Prec@5 67.188 (67.370) Epoch: [18][9770/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7997 (2.6823) Prec@1 39.844 (42.167) Prec@5 68.750 (67.370) Epoch: [18][9780/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6767 (2.6823) Prec@1 39.062 (42.166) Prec@5 67.188 (67.369) Epoch: [18][9790/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.5723 (2.6822) Prec@1 43.750 (42.167) Prec@5 65.625 (67.368) Epoch: [18][9800/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.5367 (2.6822) Prec@1 50.781 (42.168) Prec@5 71.094 (67.369) Epoch: [18][9810/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9536 (2.6820) Prec@1 38.281 (42.170) Prec@5 62.500 (67.373) Epoch: [18][9820/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8384 (2.6820) Prec@1 41.406 (42.171) Prec@5 66.406 (67.372) Epoch: [18][9830/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9994 (2.6820) Prec@1 40.625 (42.172) Prec@5 64.844 (67.373) Epoch: [18][9840/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6252 (2.6821) Prec@1 41.406 (42.169) Prec@5 75.000 (67.374) Epoch: [18][9850/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6648 (2.6820) Prec@1 45.312 (42.171) Prec@5 66.406 (67.374) Epoch: [18][9860/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6286 (2.6820) Prec@1 44.531 (42.172) Prec@5 63.281 (67.374) Epoch: [18][9870/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5367 (2.6820) Prec@1 46.094 (42.172) Prec@5 73.438 (67.375) Epoch: [18][9880/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4985 (2.6820) Prec@1 41.406 (42.171) Prec@5 71.094 (67.375) Epoch: [18][9890/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6337 (2.6820) Prec@1 39.062 (42.170) Prec@5 64.062 (67.375) Epoch: [18][9900/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3166 (2.6820) Prec@1 47.656 (42.171) Prec@5 74.219 (67.376) Epoch: [18][9910/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.3467 (2.6820) Prec@1 52.344 (42.170) Prec@5 69.531 (67.376) Epoch: [18][9920/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9705 (2.6821) Prec@1 41.406 (42.170) Prec@5 65.625 (67.374) Epoch: [18][9930/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4437 (2.6821) Prec@1 50.000 (42.169) Prec@5 70.312 (67.375) Epoch: [18][9940/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7933 (2.6821) Prec@1 42.969 (42.170) Prec@5 63.281 (67.374) Epoch: [18][9950/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4841 (2.6820) Prec@1 42.969 (42.171) Prec@5 74.219 (67.377) Epoch: [18][9960/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.9664 (2.6821) Prec@1 40.625 (42.172) Prec@5 67.969 (67.376) Epoch: [18][9970/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8763 (2.6822) Prec@1 33.594 (42.170) Prec@5 66.406 (67.374) Epoch: [18][9980/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7878 (2.6822) Prec@1 40.625 (42.170) Prec@5 63.281 (67.374) Epoch: [18][9990/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7244 (2.6823) Prec@1 34.375 (42.168) Prec@5 67.969 (67.373) Epoch: [18][10000/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8633 (2.6824) Prec@1 42.188 (42.168) Prec@5 65.625 (67.371) Test: [0/391] Time 1.462 (1.462) Loss 1.3931 (1.3931) Prec@1 71.094 (71.094) Prec@5 85.938 (85.938) Test: [10/391] Time 0.123 (0.236) Loss 3.0113 (1.6598) Prec@1 39.062 (60.156) Prec@5 64.062 (85.369) Test: [20/391] Time 0.114 (0.180) Loss 2.2635 (2.0081) Prec@1 55.469 (53.237) Prec@5 72.656 (79.464) Test: [30/391] Time 0.113 (0.156) Loss 2.7224 (2.2244) Prec@1 43.750 (48.564) Prec@5 70.312 (76.336) Test: [40/391] Time 0.106 (0.144) Loss 1.6234 (2.0805) Prec@1 57.031 (51.543) Prec@5 82.812 (77.973) Test: [50/391] Time 0.111 (0.137) Loss 1.5076 (2.1275) Prec@1 70.312 (50.934) Prec@5 84.375 (77.022) Test: [60/391] Time 0.112 (0.132) Loss 1.9491 (2.0298) Prec@1 48.438 (52.830) Prec@5 78.125 (78.279) Test: [70/391] Time 0.104 (0.129) Loss 2.9626 (2.1368) Prec@1 26.562 (50.297) Prec@5 70.312 (76.926) Test: [80/391] Time 0.104 (0.126) Loss 2.0078 (2.2589) Prec@1 50.781 (47.656) Prec@5 78.125 (75.222) Test: [90/391] Time 0.112 (0.124) Loss 2.3327 (2.2870) Prec@1 30.469 (46.729) Prec@5 76.562 (74.966) Test: [100/391] Time 0.101 (0.123) Loss 2.1793 (2.2796) Prec@1 43.750 (46.813) Prec@5 77.344 (75.387) Test: [110/391] Time 0.107 (0.121) Loss 2.5722 (2.2674) Prec@1 38.281 (46.868) Prec@5 79.688 (75.999) Test: [120/391] Time 0.100 (0.120) Loss 1.2702 (2.2195) Prec@1 64.062 (47.863) Prec@5 92.969 (76.795) Test: [130/391] Time 0.109 (0.119) Loss 1.2620 (2.1884) Prec@1 73.438 (48.587) Prec@5 87.500 (77.207) Test: [140/391] Time 0.107 (0.119) Loss 3.2855 (2.1944) Prec@1 25.781 (48.587) Prec@5 64.062 (77.150) Test: [150/391] Time 0.112 (0.118) Loss 1.6827 (2.1878) Prec@1 50.000 (48.639) Prec@5 86.719 (77.333) Test: [160/391] Time 0.112 (0.118) Loss 2.3358 (2.1842) Prec@1 46.875 (48.860) Prec@5 70.312 (77.353) Test: [170/391] Time 0.109 (0.117) Loss 2.0717 (2.2279) Prec@1 42.188 (48.250) Prec@5 80.469 (76.467) Test: [180/391] Time 0.107 (0.117) Loss 3.5849 (2.2788) Prec@1 28.906 (47.298) Prec@5 57.031 (75.647) Test: [190/391] Time 0.106 (0.117) Loss 3.2525 (2.3157) Prec@1 38.281 (46.895) Prec@5 67.969 (74.967) Test: [200/391] Time 0.105 (0.116) Loss 2.9292 (2.3554) Prec@1 34.375 (46.343) Prec@5 57.812 (74.390) Test: [210/391] Time 0.104 (0.116) Loss 1.9547 (2.3716) Prec@1 55.469 (46.146) Prec@5 75.781 (74.134) Test: [220/391] Time 0.110 (0.115) Loss 1.4120 (2.3745) Prec@1 70.312 (46.263) Prec@5 85.938 (73.929) Test: [230/391] Time 0.103 (0.115) Loss 4.4199 (2.3892) Prec@1 15.625 (46.013) Prec@5 43.750 (73.695) Test: [240/391] Time 0.106 (0.115) Loss 2.2904 (2.4038) Prec@1 51.562 (45.971) Prec@5 71.094 (73.363) Test: [250/391] Time 0.108 (0.114) Loss 1.9201 (2.4246) Prec@1 58.594 (45.664) Prec@5 79.688 (73.080) Test: [260/391] Time 0.105 (0.115) Loss 2.5733 (2.4355) Prec@1 40.625 (45.447) Prec@5 71.094 (72.854) Test: [270/391] Time 0.107 (0.114) Loss 3.5704 (2.4544) Prec@1 25.000 (45.238) Prec@5 54.688 (72.454) Test: [280/391] Time 0.107 (0.114) Loss 1.5564 (2.4676) Prec@1 63.281 (45.037) Prec@5 84.375 (72.275) Test: [290/391] Time 0.113 (0.114) Loss 3.6851 (2.4836) Prec@1 19.531 (44.894) Prec@5 53.906 (71.985) Test: [300/391] Time 0.175 (0.114) Loss 2.7122 (2.5077) Prec@1 42.188 (44.461) Prec@5 73.438 (71.665) Test: [310/391] Time 0.110 (0.114) Loss 2.6960 (2.5317) Prec@1 42.969 (44.102) Prec@5 69.531 (71.255) Test: [320/391] Time 0.107 (0.113) Loss 2.1164 (2.5378) Prec@1 51.562 (43.969) Prec@5 78.906 (71.125) Test: [330/391] Time 0.105 (0.113) Loss 3.1392 (2.5561) Prec@1 37.500 (43.705) Prec@5 59.375 (70.785) Test: [340/391] Time 0.109 (0.113) Loss 2.3165 (2.5622) Prec@1 34.375 (43.574) Prec@5 82.031 (70.642) Test: [350/391] Time 0.104 (0.113) Loss 3.0183 (2.5673) Prec@1 35.938 (43.454) Prec@5 64.844 (70.562) Test: [360/391] Time 0.112 (0.113) Loss 2.0090 (2.5767) Prec@1 50.781 (43.367) Prec@5 78.125 (70.447) Test: [370/391] Time 0.109 (0.113) Loss 2.4738 (2.5656) Prec@1 39.844 (43.495) Prec@5 82.812 (70.601) Test: [380/391] Time 0.098 (0.113) Loss 1.7579 (2.5608) Prec@1 56.250 (43.568) Prec@5 82.031 (70.645) Test: [390/391] Time 0.067 (0.112) Loss 3.9390 (2.5455) Prec@1 26.250 (43.906) Prec@5 51.250 (70.830) * Prec@1 43.906 Prec@5 70.830 Epoch: [19][0/10010] Time 2.490 (2.490) Data 2.320 (2.320) Loss 2.8681 (2.8681) Prec@1 34.375 (34.375) Prec@5 63.281 (63.281) Epoch: [19][10/10010] Time 0.323 (0.521) Data 0.001 (0.214) Loss 2.2089 (2.7095) Prec@1 49.219 (40.199) Prec@5 79.688 (66.548) Epoch: [19][20/10010] Time 0.320 (0.426) Data 0.001 (0.113) Loss 2.3250 (2.6233) Prec@1 46.094 (42.001) Prec@5 75.781 (67.932) Epoch: [19][30/10010] Time 0.319 (0.392) Data 0.001 (0.076) Loss 2.7923 (2.6641) Prec@1 39.844 (41.835) Prec@5 69.531 (67.944) Epoch: [19][40/10010] Time 0.337 (0.380) Data 0.001 (0.058) Loss 2.6083 (2.6386) Prec@1 42.969 (42.378) Prec@5 70.312 (68.159) Epoch: [19][50/10010] Time 0.343 (0.370) Data 0.000 (0.047) Loss 2.1142 (2.6455) Prec@1 56.250 (42.264) Prec@5 82.031 (67.754) Epoch: [19][60/10010] Time 0.322 (0.364) Data 0.000 (0.039) Loss 2.7260 (2.6534) Prec@1 42.969 (42.392) Prec@5 67.969 (67.636) Epoch: [19][70/10010] Time 0.345 (0.360) Data 0.000 (0.034) Loss 2.6538 (2.6496) Prec@1 44.531 (42.496) Prec@5 68.750 (67.694) Epoch: [19][80/10010] Time 0.322 (0.356) Data 0.001 (0.030) Loss 2.4029 (2.6447) Prec@1 50.000 (42.670) Prec@5 68.750 (67.708) Epoch: [19][90/10010] Time 0.331 (0.353) Data 0.001 (0.026) Loss 2.7519 (2.6476) Prec@1 40.625 (42.677) Prec@5 66.406 (67.737) Epoch: [19][100/10010] Time 0.336 (0.351) Data 0.001 (0.024) Loss 2.5646 (2.6467) Prec@1 42.969 (42.659) Prec@5 69.531 (67.799) Epoch: [19][110/10010] Time 0.319 (0.349) Data 0.000 (0.022) Loss 2.5107 (2.6432) Prec@1 42.188 (42.807) Prec@5 71.094 (67.842) Epoch: [19][120/10010] Time 0.325 (0.347) Data 0.000 (0.020) Loss 2.6623 (2.6408) Prec@1 47.656 (42.956) Prec@5 71.875 (67.995) Epoch: [19][130/10010] Time 0.334 (0.346) Data 0.001 (0.019) Loss 2.6465 (2.6416) Prec@1 42.969 (42.909) Prec@5 67.969 (67.927) Epoch: [19][140/10010] Time 0.330 (0.345) Data 0.000 (0.017) Loss 2.8706 (2.6469) Prec@1 36.719 (42.725) Prec@5 65.625 (67.908) Epoch: [19][150/10010] Time 0.329 (0.343) Data 0.001 (0.016) Loss 2.5407 (2.6453) Prec@1 47.656 (42.777) Prec@5 69.531 (67.964) Epoch: [19][160/10010] Time 0.329 (0.343) Data 0.001 (0.015) Loss 2.5493 (2.6439) Prec@1 53.125 (42.906) Prec@5 70.312 (67.944) Epoch: [19][170/10010] Time 0.325 (0.342) Data 0.001 (0.014) Loss 2.1032 (2.6392) Prec@1 51.562 (42.950) Prec@5 76.562 (68.010) Epoch: [19][180/10010] Time 0.330 (0.341) Data 0.000 (0.014) Loss 2.8493 (2.6461) Prec@1 32.812 (42.779) Prec@5 67.188 (67.861) Epoch: [19][190/10010] Time 0.340 (0.341) Data 0.001 (0.013) Loss 2.4962 (2.6422) Prec@1 42.969 (42.834) Prec@5 65.625 (67.883) Epoch: [19][200/10010] Time 0.349 (0.340) Data 0.001 (0.012) Loss 2.5007 (2.6393) Prec@1 42.969 (42.887) Prec@5 73.438 (67.938) Epoch: [19][210/10010] Time 0.337 (0.340) Data 0.000 (0.012) Loss 2.3304 (2.6429) Prec@1 46.875 (42.895) Prec@5 75.000 (67.858) Epoch: [19][220/10010] Time 0.333 (0.340) Data 0.001 (0.011) Loss 2.6064 (2.6427) Prec@1 46.094 (42.827) Prec@5 71.094 (67.880) Epoch: [19][230/10010] Time 0.342 (0.339) Data 0.000 (0.011) Loss 2.3064 (2.6395) Prec@1 45.312 (42.806) Prec@5 68.750 (67.918) Epoch: [19][240/10010] Time 0.330 (0.339) Data 0.001 (0.010) Loss 2.6294 (2.6393) Prec@1 46.875 (42.807) Prec@5 70.312 (67.923) Epoch: [19][250/10010] Time 0.332 (0.339) Data 0.000 (0.010) Loss 2.8692 (2.6378) Prec@1 41.406 (42.854) Prec@5 66.406 (67.975) Epoch: [19][260/10010] Time 0.329 (0.339) Data 0.000 (0.010) Loss 2.6291 (2.6391) Prec@1 41.406 (42.825) Prec@5 70.312 (67.999) Epoch: [19][270/10010] Time 0.327 (0.338) Data 0.001 (0.009) Loss 3.0960 (2.6445) Prec@1 39.844 (42.799) Prec@5 64.062 (67.937) Epoch: [19][280/10010] Time 0.330 (0.338) Data 0.001 (0.009) Loss 2.5660 (2.6446) Prec@1 45.312 (42.741) Prec@5 66.406 (67.933) Epoch: [19][290/10010] Time 0.342 (0.338) Data 0.001 (0.009) Loss 2.6996 (2.6448) Prec@1 39.844 (42.743) Prec@5 66.406 (67.923) Epoch: [19][300/10010] Time 0.322 (0.338) Data 0.001 (0.008) Loss 2.4306 (2.6453) Prec@1 40.625 (42.696) Prec@5 71.875 (67.909) Epoch: [19][310/10010] Time 0.322 (0.337) Data 0.001 (0.008) Loss 2.3486 (2.6439) Prec@1 46.875 (42.680) Prec@5 69.531 (67.924) Epoch: [19][320/10010] Time 0.326 (0.337) Data 0.001 (0.008) Loss 2.7385 (2.6445) Prec@1 42.969 (42.652) Prec@5 69.531 (67.884) Epoch: [19][330/10010] Time 0.329 (0.337) Data 0.001 (0.008) Loss 2.6090 (2.6451) Prec@1 42.969 (42.671) Prec@5 65.625 (67.863) Epoch: [19][340/10010] Time 0.319 (0.336) Data 0.000 (0.007) Loss 2.4284 (2.6418) Prec@1 46.875 (42.724) Prec@5 67.969 (67.941) Epoch: [19][350/10010] Time 0.353 (0.336) Data 0.001 (0.007) Loss 2.6688 (2.6444) Prec@1 41.406 (42.686) Prec@5 63.281 (67.886) Epoch: [19][360/10010] Time 0.338 (0.336) Data 0.000 (0.007) Loss 2.6231 (2.6495) Prec@1 47.656 (42.603) Prec@5 67.969 (67.796) Epoch: [19][370/10010] Time 0.335 (0.336) Data 0.001 (0.007) Loss 3.2791 (2.6550) Prec@1 32.031 (42.527) Prec@5 53.125 (67.676) Epoch: [19][380/10010] Time 0.326 (0.336) Data 0.000 (0.007) Loss 2.5590 (2.6559) Prec@1 46.094 (42.534) Prec@5 71.875 (67.653) Epoch: [19][390/10010] Time 0.343 (0.336) Data 0.000 (0.007) Loss 2.7373 (2.6578) Prec@1 52.344 (42.523) Prec@5 67.969 (67.643) Epoch: [19][400/10010] Time 0.336 (0.336) Data 0.000 (0.006) Loss 2.6819 (2.6596) Prec@1 36.719 (42.493) Prec@5 66.406 (67.610) Epoch: [19][410/10010] Time 0.334 (0.336) Data 0.001 (0.006) Loss 2.2566 (2.6609) Prec@1 53.125 (42.514) Prec@5 73.438 (67.585) Epoch: [19][420/10010] Time 0.323 (0.336) Data 0.000 (0.006) Loss 2.4456 (2.6611) Prec@1 44.531 (42.483) Prec@5 69.531 (67.609) Epoch: [19][430/10010] Time 0.328 (0.336) Data 0.000 (0.006) Loss 2.6627 (2.6611) Prec@1 45.312 (42.476) Prec@5 68.750 (67.604) Epoch: [19][440/10010] Time 0.323 (0.335) Data 0.000 (0.006) Loss 2.6351 (2.6619) Prec@1 47.656 (42.483) Prec@5 64.062 (67.586) Epoch: [19][450/10010] Time 0.348 (0.336) Data 0.000 (0.006) Loss 2.7074 (2.6614) Prec@1 42.188 (42.498) Prec@5 67.969 (67.579) Epoch: [19][460/10010] Time 0.337 (0.336) Data 0.001 (0.006) Loss 2.8170 (2.6624) Prec@1 37.500 (42.484) Prec@5 65.625 (67.567) Epoch: [19][470/10010] Time 0.321 (0.336) Data 0.000 (0.006) Loss 2.9257 (2.6622) Prec@1 34.375 (42.494) Prec@5 64.062 (67.564) Epoch: [19][480/10010] Time 0.330 (0.335) Data 0.000 (0.005) Loss 2.7200 (2.6624) Prec@1 35.156 (42.472) Prec@5 67.969 (67.585) Epoch: [19][490/10010] Time 0.341 (0.335) Data 0.001 (0.005) Loss 2.8250 (2.6627) Prec@1 38.281 (42.452) Prec@5 63.281 (67.581) Epoch: [19][500/10010] Time 0.343 (0.335) Data 0.001 (0.005) Loss 2.6712 (2.6631) Prec@1 40.625 (42.446) Prec@5 70.312 (67.565) Epoch: [19][510/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 3.0355 (2.6645) Prec@1 32.031 (42.398) Prec@5 60.156 (67.559) Epoch: [19][520/10010] Time 0.321 (0.335) Data 0.001 (0.005) Loss 2.7819 (2.6646) Prec@1 39.844 (42.393) Prec@5 64.062 (67.546) Epoch: [19][530/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 2.6339 (2.6619) Prec@1 42.969 (42.444) Prec@5 67.188 (67.579) Epoch: [19][540/10010] Time 0.341 (0.335) Data 0.000 (0.005) Loss 2.9309 (2.6605) Prec@1 38.281 (42.462) Prec@5 60.156 (67.628) Epoch: [19][550/10010] Time 0.338 (0.335) Data 0.001 (0.005) Loss 2.1774 (2.6597) Prec@1 53.125 (42.468) Prec@5 75.781 (67.637) Epoch: [19][560/10010] Time 0.323 (0.335) Data 0.000 (0.005) Loss 2.7628 (2.6592) Prec@1 38.281 (42.462) Prec@5 69.531 (67.660) Epoch: [19][570/10010] Time 0.336 (0.335) Data 0.001 (0.005) Loss 2.4221 (2.6587) Prec@1 47.656 (42.452) Prec@5 71.875 (67.692) Epoch: [19][580/10010] Time 0.350 (0.335) Data 0.000 (0.005) Loss 2.6125 (2.6584) Prec@1 44.531 (42.459) Prec@5 71.875 (67.698) Epoch: [19][590/10010] Time 0.330 (0.335) Data 0.000 (0.005) Loss 2.6628 (2.6585) Prec@1 42.969 (42.457) Prec@5 66.406 (67.686) Epoch: [19][600/10010] Time 0.321 (0.335) Data 0.001 (0.005) Loss 2.8010 (2.6603) Prec@1 42.188 (42.457) Prec@5 65.625 (67.655) Epoch: [19][610/10010] Time 0.322 (0.335) Data 0.001 (0.004) Loss 2.6294 (2.6589) Prec@1 42.969 (42.484) Prec@5 69.531 (67.682) Epoch: [19][620/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.9422 (2.6590) Prec@1 37.500 (42.482) Prec@5 65.625 (67.689) Epoch: [19][630/10010] Time 0.320 (0.334) Data 0.000 (0.004) Loss 2.6452 (2.6565) Prec@1 40.625 (42.545) Prec@5 64.062 (67.716) Epoch: [19][640/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 2.5629 (2.6566) Prec@1 39.844 (42.504) Prec@5 65.625 (67.705) Epoch: [19][650/10010] Time 0.335 (0.334) Data 0.000 (0.004) Loss 2.7428 (2.6566) Prec@1 42.188 (42.507) Prec@5 66.406 (67.714) Epoch: [19][660/10010] Time 0.331 (0.334) Data 0.001 (0.004) Loss 2.6948 (2.6574) Prec@1 44.531 (42.502) Prec@5 67.188 (67.704) Epoch: [19][670/10010] Time 0.342 (0.334) Data 0.000 (0.004) Loss 3.0834 (2.6586) Prec@1 36.719 (42.487) Prec@5 61.719 (67.692) Epoch: [19][680/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.4480 (2.6574) Prec@1 52.344 (42.532) Prec@5 72.656 (67.707) Epoch: [19][690/10010] Time 0.340 (0.334) Data 0.000 (0.004) Loss 2.8629 (2.6574) Prec@1 37.500 (42.509) Prec@5 63.281 (67.691) Epoch: [19][700/10010] Time 0.329 (0.334) Data 0.001 (0.004) Loss 2.8961 (2.6583) Prec@1 39.062 (42.494) Prec@5 64.844 (67.688) Epoch: [19][710/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.6759 (2.6585) Prec@1 42.188 (42.491) Prec@5 67.188 (67.683) Epoch: [19][720/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 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Data 0.000 (0.004) Loss 2.4895 (2.6598) Prec@1 45.312 (42.469) Prec@5 69.531 (67.655) Epoch: [19][810/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 2.4063 (2.6593) Prec@1 43.750 (42.484) Prec@5 70.312 (67.661) Epoch: [19][820/10010] Time 0.348 (0.334) Data 0.000 (0.003) Loss 2.7417 (2.6585) Prec@1 39.844 (42.507) Prec@5 64.062 (67.662) Epoch: [19][830/10010] Time 0.332 (0.334) Data 0.000 (0.003) Loss 2.5896 (2.6591) Prec@1 46.875 (42.501) Prec@5 67.188 (67.657) Epoch: [19][840/10010] Time 0.345 (0.334) Data 0.001 (0.003) Loss 2.9064 (2.6594) Prec@1 37.500 (42.488) Prec@5 58.594 (67.654) Epoch: [19][850/10010] Time 0.340 (0.334) Data 0.001 (0.003) Loss 2.6187 (2.6589) Prec@1 39.062 (42.466) Prec@5 72.656 (67.650) Epoch: [19][860/10010] Time 0.342 (0.334) Data 0.001 (0.003) Loss 2.8501 (2.6602) Prec@1 38.281 (42.456) Prec@5 62.500 (67.626) Epoch: [19][870/10010] Time 0.338 (0.334) Data 0.000 (0.003) Loss 2.5462 (2.6606) Prec@1 48.438 (42.443) Prec@5 69.531 (67.605) Epoch: [19][880/10010] Time 0.323 (0.334) Data 0.001 (0.003) Loss 2.1585 (2.6598) Prec@1 46.094 (42.440) Prec@5 75.000 (67.610) Epoch: [19][890/10010] Time 0.340 (0.334) Data 0.001 (0.003) Loss 2.4757 (2.6587) Prec@1 45.312 (42.440) Prec@5 70.312 (67.641) Epoch: [19][900/10010] Time 0.316 (0.334) Data 0.001 (0.003) Loss 2.9570 (2.6590) Prec@1 38.281 (42.454) Prec@5 57.812 (67.637) Epoch: [19][910/10010] Time 0.332 (0.334) Data 0.000 (0.003) Loss 2.7181 (2.6598) Prec@1 43.750 (42.432) Prec@5 68.750 (67.616) Epoch: [19][920/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 2.9693 (2.6592) Prec@1 38.281 (42.448) Prec@5 66.406 (67.635) Epoch: [19][930/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 2.5563 (2.6589) Prec@1 41.406 (42.439) Prec@5 67.969 (67.647) Epoch: [19][940/10010] Time 0.314 (0.334) Data 0.000 (0.003) Loss 2.4067 (2.6593) Prec@1 45.312 (42.438) Prec@5 68.750 (67.638) Epoch: [19][950/10010] Time 0.351 (0.334) Data 0.000 (0.003) Loss 2.6633 (2.6592) Prec@1 38.281 (42.427) Prec@5 70.312 (67.644) Epoch: [19][960/10010] Time 0.325 (0.334) Data 0.000 (0.003) Loss 3.0168 (2.6590) Prec@1 39.844 (42.418) Prec@5 67.969 (67.650) /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: [19][970/10010] Time 0.335 (0.334) Data 0.001 (0.003) Loss 3.0782 (2.6598) Prec@1 38.281 (42.413) Prec@5 58.594 (67.640) Epoch: [19][980/10010] Time 0.333 (0.334) Data 0.000 (0.003) Loss 2.3681 (2.6592) Prec@1 46.094 (42.425) Prec@5 69.531 (67.645) Epoch: [19][990/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 2.5410 (2.6589) Prec@1 45.312 (42.433) Prec@5 67.969 (67.639) Epoch: [19][1000/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 2.8284 (2.6598) Prec@1 41.406 (42.419) Prec@5 64.062 (67.632) Epoch: [19][1010/10010] Time 0.315 (0.334) Data 0.001 (0.003) Loss 2.7447 (2.6598) Prec@1 46.094 (42.431) Prec@5 69.531 (67.630) Epoch: [19][1020/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 2.5987 (2.6611) Prec@1 47.656 (42.427) Prec@5 71.875 (67.611) Epoch: [19][1030/10010] Time 0.330 (0.334) Data 0.000 (0.003) Loss 2.9415 (2.6607) Prec@1 37.500 (42.430) Prec@5 64.062 (67.625) Epoch: [19][1040/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 2.5910 (2.6602) Prec@1 46.875 (42.428) Prec@5 64.062 (67.645) Epoch: [19][1050/10010] Time 0.333 (0.334) Data 0.000 (0.003) Loss 2.6930 (2.6606) Prec@1 41.406 (42.413) Prec@5 68.750 (67.631) Epoch: [19][1060/10010] Time 0.344 (0.334) Data 0.000 (0.003) Loss 2.6692 (2.6598) Prec@1 41.406 (42.426) Prec@5 71.094 (67.650) Epoch: [19][1070/10010] Time 0.321 (0.334) Data 0.001 (0.003) Loss 2.6290 (2.6607) Prec@1 42.188 (42.407) Prec@5 67.969 (67.632) Epoch: [19][1080/10010] Time 0.336 (0.334) Data 0.000 (0.003) Loss 2.5068 (2.6597) Prec@1 43.750 (42.424) Prec@5 70.312 (67.646) Epoch: [19][1090/10010] Time 0.325 (0.334) Data 0.002 (0.003) Loss 2.5178 (2.6589) Prec@1 41.406 (42.423) Prec@5 68.750 (67.664) Epoch: [19][1100/10010] Time 0.330 (0.334) Data 0.001 (0.003) Loss 2.6083 (2.6594) Prec@1 44.531 (42.419) Prec@5 71.875 (67.662) Epoch: [19][1110/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 2.7562 (2.6589) Prec@1 44.531 (42.429) Prec@5 69.531 (67.668) Epoch: [19][1120/10010] Time 0.322 (0.334) Data 0.000 (0.003) Loss 2.4833 (2.6585) Prec@1 46.875 (42.438) Prec@5 74.219 (67.681) /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: [19][1130/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 2.5798 (2.6592) Prec@1 44.531 (42.422) Prec@5 69.531 (67.664) Epoch: [19][1140/10010] Time 0.338 (0.334) Data 0.001 (0.003) Loss 2.5382 (2.6588) Prec@1 42.969 (42.420) Prec@5 68.750 (67.676) Epoch: [19][1150/10010] Time 0.317 (0.334) Data 0.001 (0.003) Loss 2.7279 (2.6597) Prec@1 42.969 (42.418) Prec@5 64.062 (67.656) Epoch: [19][1160/10010] Time 0.342 (0.334) Data 0.000 (0.003) Loss 2.3222 (2.6593) Prec@1 50.000 (42.425) Prec@5 70.312 (67.657) Epoch: [19][1170/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 2.8380 (2.6593) Prec@1 35.938 (42.421) Prec@5 65.625 (67.663) Epoch: [19][1180/10010] Time 0.345 (0.334) Data 0.001 (0.003) Loss 2.5828 (2.6590) Prec@1 40.625 (42.417) Prec@5 68.750 (67.676) Epoch: [19][1190/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 2.8056 (2.6599) Prec@1 41.406 (42.400) Prec@5 66.406 (67.657) Epoch: [19][1200/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.7513 (2.6591) Prec@1 41.406 (42.424) Prec@5 66.406 (67.668) Epoch: [19][1210/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.8396 (2.6591) Prec@1 40.625 (42.434) Prec@5 67.188 (67.676) Epoch: [19][1220/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.4898 (2.6590) Prec@1 42.969 (42.433) Prec@5 69.531 (67.677) Epoch: [19][1230/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.3088 (2.6577) Prec@1 50.781 (42.455) Prec@5 69.531 (67.690) Epoch: [19][1240/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.4388 (2.6560) Prec@1 46.094 (42.500) Prec@5 71.875 (67.709) Epoch: [19][1250/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 2.4501 (2.6560) Prec@1 43.750 (42.484) Prec@5 69.531 (67.703) Epoch: [19][1260/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.3592 (2.6565) Prec@1 47.656 (42.494) Prec@5 75.000 (67.700) Epoch: [19][1270/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.4538 (2.6561) Prec@1 44.531 (42.492) Prec@5 67.188 (67.702) Epoch: [19][1280/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.4466 (2.6561) Prec@1 45.312 (42.494) Prec@5 66.406 (67.697) Epoch: [19][1290/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.2482 (2.6559) Prec@1 48.438 (42.502) Prec@5 74.219 (67.709) Epoch: [19][1300/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.4225 (2.6563) Prec@1 46.875 (42.487) Prec@5 70.312 (67.700) Epoch: [19][1310/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 3.1823 (2.6571) Prec@1 35.156 (42.483) Prec@5 59.375 (67.689) /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: [19][1320/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.5853 (2.6579) Prec@1 45.312 (42.461) Prec@5 74.219 (67.680) Epoch: [19][1330/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.7194 (2.6579) Prec@1 37.500 (42.451) Prec@5 67.969 (67.676) Epoch: [19][1340/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.4311 (2.6577) Prec@1 47.656 (42.445) Prec@5 71.094 (67.678) Epoch: [19][1350/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.5570 (2.6578) Prec@1 43.750 (42.453) Prec@5 70.312 (67.670) Epoch: [19][1360/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.6494 (2.6578) Prec@1 42.188 (42.457) Prec@5 69.531 (67.673) Epoch: [19][1370/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.4294 (2.6579) Prec@1 44.531 (42.444) Prec@5 73.438 (67.680) Epoch: [19][1380/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.6129 (2.6578) Prec@1 42.188 (42.443) Prec@5 72.656 (67.686) Epoch: [19][1390/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.6373 (2.6574) Prec@1 45.312 (42.453) Prec@5 64.844 (67.692) Epoch: [19][1400/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.8659 (2.6583) Prec@1 42.188 (42.442) Prec@5 66.406 (67.683) Epoch: [19][1410/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.4299 (2.6582) Prec@1 48.438 (42.442) Prec@5 71.875 (67.682) Epoch: [19][1420/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.5362 (2.6584) Prec@1 42.188 (42.448) Prec@5 70.312 (67.686) Epoch: [19][1430/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.7912 (2.6579) Prec@1 46.875 (42.464) Prec@5 70.312 (67.689) Epoch: [19][1440/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.8681 (2.6582) Prec@1 39.844 (42.452) Prec@5 58.594 (67.682) Epoch: [19][1450/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.4407 (2.6576) Prec@1 40.625 (42.459) Prec@5 74.219 (67.698) Epoch: [19][1460/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.6928 (2.6580) Prec@1 44.531 (42.464) Prec@5 67.969 (67.690) Epoch: [19][1470/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.2480 (2.6575) Prec@1 48.438 (42.479) Prec@5 75.000 (67.704) Epoch: [19][1480/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.6851 (2.6574) Prec@1 47.656 (42.489) Prec@5 67.969 (67.707) Epoch: [19][1490/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.6765 (2.6573) Prec@1 43.750 (42.491) Prec@5 65.625 (67.709) Epoch: [19][1500/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.7246 (2.6567) Prec@1 42.188 (42.497) Prec@5 61.719 (67.709) Epoch: [19][1510/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 2.7902 (2.6569) Prec@1 42.969 (42.496) Prec@5 64.062 (67.704) Epoch: [19][1520/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.6277 (2.6569) Prec@1 38.281 (42.482) Prec@5 69.531 (67.710) Epoch: [19][1530/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.6432 (2.6572) Prec@1 43.750 (42.484) Prec@5 64.062 (67.701) Epoch: [19][1540/10010] Time 0.314 (0.333) Data 0.001 (0.002) Loss 2.6558 (2.6577) Prec@1 46.875 (42.471) Prec@5 71.094 (67.696) Epoch: [19][1550/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.8098 (2.6579) Prec@1 40.625 (42.469) Prec@5 65.625 (67.700) Epoch: [19][1560/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.6270 (2.6575) Prec@1 42.188 (42.477) Prec@5 67.969 (67.712) Epoch: [19][1570/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5806 (2.6574) Prec@1 46.875 (42.473) Prec@5 67.969 (67.718) Epoch: [19][1580/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.4825 (2.6583) Prec@1 47.656 (42.458) Prec@5 71.094 (67.702) Epoch: [19][1590/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.5943 (2.6584) Prec@1 42.969 (42.464) Prec@5 70.312 (67.701) Epoch: [19][1600/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.3358 (2.6587) Prec@1 46.094 (42.449) Prec@5 72.656 (67.698) Epoch: [19][1610/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.8012 (2.6582) Prec@1 43.750 (42.453) Prec@5 74.219 (67.714) Epoch: [19][1620/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.9201 (2.6579) Prec@1 39.062 (42.458) Prec@5 59.375 (67.710) Epoch: [19][1630/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.9136 (2.6583) Prec@1 36.719 (42.434) Prec@5 59.375 (67.702) Epoch: [19][1640/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.4987 (2.6582) Prec@1 41.406 (42.435) Prec@5 67.969 (67.703) Epoch: [19][1650/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.3765 (2.6583) Prec@1 45.312 (42.436) Prec@5 71.094 (67.704) Epoch: [19][1660/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.8528 (2.6580) Prec@1 43.750 (42.452) Prec@5 65.625 (67.715) Epoch: [19][1670/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.6873 (2.6578) Prec@1 39.844 (42.456) Prec@5 64.844 (67.715) Epoch: [19][1680/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.8086 (2.6578) Prec@1 40.625 (42.460) Prec@5 64.844 (67.711) Epoch: [19][1690/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.4968 (2.6577) Prec@1 46.875 (42.467) Prec@5 70.312 (67.715) Epoch: [19][1700/10010] Time 0.325 (0.333) Data 0.002 (0.002) Loss 2.3971 (2.6581) Prec@1 44.531 (42.457) Prec@5 68.750 (67.711) Epoch: [19][1710/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.6598 (2.6578) Prec@1 40.625 (42.467) Prec@5 69.531 (67.721) Epoch: [19][1720/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.5563 (2.6575) Prec@1 45.312 (42.483) Prec@5 70.312 (67.728) Epoch: [19][1730/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.7179 (2.6573) Prec@1 43.750 (42.479) Prec@5 66.406 (67.727) Epoch: [19][1740/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.4406 (2.6574) Prec@1 38.281 (42.466) Prec@5 76.562 (67.726) Epoch: [19][1750/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.4758 (2.6575) Prec@1 50.000 (42.469) Prec@5 65.625 (67.719) Epoch: [19][1760/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.4527 (2.6571) Prec@1 46.094 (42.478) Prec@5 71.094 (67.733) Epoch: [19][1770/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.5941 (2.6568) Prec@1 43.750 (42.475) Prec@5 70.312 (67.740) Epoch: [19][1780/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.9299 (2.6565) Prec@1 42.188 (42.490) Prec@5 64.062 (67.749) Epoch: [19][1790/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.9832 (2.6567) Prec@1 42.969 (42.493) Prec@5 61.719 (67.748) Epoch: [19][1800/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.8213 (2.6570) Prec@1 37.500 (42.486) Prec@5 61.719 (67.741) Epoch: [19][1810/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.5400 (2.6570) Prec@1 42.969 (42.480) Prec@5 69.531 (67.738) Epoch: [19][1820/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.8450 (2.6574) Prec@1 36.719 (42.474) Prec@5 60.938 (67.724) Epoch: [19][1830/10010] Time 0.345 (0.332) Data 0.002 (0.002) Loss 2.8081 (2.6573) Prec@1 46.094 (42.487) Prec@5 67.188 (67.729) Epoch: [19][1840/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.3114 (2.6576) Prec@1 27.344 (42.485) Prec@5 57.031 (67.722) Epoch: [19][1850/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8282 (2.6579) Prec@1 37.500 (42.482) Prec@5 62.500 (67.711) Epoch: [19][1860/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.4866 (2.6577) Prec@1 48.438 (42.487) Prec@5 72.656 (67.715) Epoch: [19][1870/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.7143 (2.6580) Prec@1 43.750 (42.484) Prec@5 68.750 (67.712) Epoch: [19][1880/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7692 (2.6583) Prec@1 40.625 (42.472) Prec@5 67.969 (67.708) Epoch: [19][1890/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.4524 (2.6586) Prec@1 45.312 (42.473) Prec@5 74.219 (67.699) Epoch: [19][1900/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7478 (2.6592) Prec@1 39.062 (42.462) Prec@5 64.844 (67.692) Epoch: [19][1910/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.7630 (2.6596) Prec@1 40.625 (42.455) Prec@5 66.406 (67.683) Epoch: [19][1920/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.0870 (2.6600) Prec@1 39.844 (42.446) Prec@5 62.500 (67.682) Epoch: [19][1930/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.4874 (2.6602) Prec@1 46.094 (42.439) Prec@5 70.312 (67.681) Epoch: [19][1940/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.7199 (2.6602) Prec@1 40.625 (42.431) Prec@5 64.844 (67.678) Epoch: [19][1950/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6410 (2.6606) Prec@1 45.312 (42.425) Prec@5 61.719 (67.671) Epoch: [19][1960/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 2.4037 (2.6604) Prec@1 46.094 (42.425) Prec@5 68.750 (67.676) Epoch: [19][1970/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.3510 (2.6597) Prec@1 49.219 (42.437) Prec@5 72.656 (67.685) Epoch: [19][1980/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.5026 (2.6596) Prec@1 46.094 (42.437) Prec@5 66.406 (67.688) Epoch: [19][1990/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.6596 (2.6596) Prec@1 42.969 (42.444) Prec@5 64.062 (67.685) Epoch: [19][2000/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.4063 (2.6596) Prec@1 45.312 (42.454) Prec@5 69.531 (67.687) Epoch: [19][2010/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.7336 (2.6595) Prec@1 46.094 (42.464) Prec@5 67.969 (67.689) Epoch: [19][2020/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.5847 (2.6597) Prec@1 46.875 (42.462) Prec@5 67.188 (67.688) Epoch: [19][2030/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.8195 (2.6594) Prec@1 39.844 (42.465) Prec@5 67.969 (67.692) Epoch: [19][2040/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7404 (2.6590) Prec@1 45.312 (42.482) Prec@5 67.969 (67.701) Epoch: [19][2050/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8806 (2.6594) Prec@1 37.500 (42.483) Prec@5 62.500 (67.693) Epoch: [19][2060/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.6248 (2.6596) Prec@1 38.281 (42.474) Prec@5 65.625 (67.691) Epoch: [19][2070/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.6233 (2.6593) Prec@1 42.969 (42.480) Prec@5 69.531 (67.701) Epoch: [19][2080/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.8920 (2.6597) Prec@1 39.844 (42.480) Prec@5 60.156 (67.685) Epoch: [19][2090/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.3724 (2.6594) Prec@1 45.312 (42.485) Prec@5 70.312 (67.693) Epoch: [19][2100/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.4348 (2.6590) Prec@1 46.875 (42.489) Prec@5 70.312 (67.699) Epoch: [19][2110/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.4737 (2.6587) Prec@1 44.531 (42.491) Prec@5 64.062 (67.697) Epoch: [19][2120/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 2.6204 (2.6587) Prec@1 43.750 (42.487) Prec@5 67.188 (67.694) Epoch: [19][2130/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.3681 (2.6589) Prec@1 46.875 (42.484) Prec@5 71.875 (67.692) Epoch: [19][2140/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.5354 (2.6590) Prec@1 46.094 (42.479) Prec@5 64.062 (67.689) Epoch: [19][2150/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.7177 (2.6592) Prec@1 44.531 (42.482) Prec@5 70.312 (67.687) Epoch: [19][2160/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.7420 (2.6595) Prec@1 45.312 (42.482) Prec@5 66.406 (67.684) Epoch: [19][2170/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5890 (2.6595) Prec@1 45.312 (42.484) Prec@5 67.188 (67.684) Epoch: [19][2180/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.3802 (2.6595) Prec@1 50.000 (42.487) Prec@5 75.000 (67.687) Epoch: [19][2190/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.4551 (2.6597) Prec@1 46.875 (42.483) Prec@5 65.625 (67.681) Epoch: [19][2200/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5229 (2.6597) Prec@1 42.188 (42.486) Prec@5 71.875 (67.675) Epoch: [19][2210/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.5656 (2.6593) Prec@1 46.875 (42.490) Prec@5 64.844 (67.683) Epoch: [19][2220/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5801 (2.6599) Prec@1 42.969 (42.481) Prec@5 72.656 (67.673) Epoch: [19][2230/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.7666 (2.6601) Prec@1 35.938 (42.478) Prec@5 67.969 (67.671) Epoch: [19][2240/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.9166 (2.6603) Prec@1 39.844 (42.479) Prec@5 64.062 (67.666) Epoch: [19][2250/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.7413 (2.6601) Prec@1 42.188 (42.486) Prec@5 64.844 (67.669) Epoch: [19][2260/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.7958 (2.6601) Prec@1 39.844 (42.479) Prec@5 67.188 (67.670) Epoch: [19][2270/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.5567 (2.6596) Prec@1 39.844 (42.487) Prec@5 71.094 (67.683) Epoch: [19][2280/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.2432 (2.6591) Prec@1 51.562 (42.500) Prec@5 78.125 (67.693) Epoch: [19][2290/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5451 (2.6592) Prec@1 45.312 (42.498) Prec@5 66.406 (67.689) Epoch: [19][2300/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.4426 (2.6593) Prec@1 46.875 (42.503) Prec@5 67.188 (67.685) Epoch: [19][2310/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.5589 (2.6589) Prec@1 46.094 (42.510) Prec@5 67.969 (67.687) Epoch: [19][2320/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8570 (2.6593) Prec@1 42.188 (42.507) Prec@5 64.844 (67.682) Epoch: [19][2330/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.0229 (2.6595) Prec@1 32.031 (42.501) Prec@5 61.719 (67.681) Epoch: [19][2340/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7180 (2.6598) Prec@1 38.281 (42.492) Prec@5 67.188 (67.677) Epoch: [19][2350/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.7603 (2.6601) Prec@1 41.406 (42.486) Prec@5 66.406 (67.673) Epoch: [19][2360/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.6499 (2.6599) Prec@1 42.188 (42.488) Prec@5 65.625 (67.671) Epoch: [19][2370/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.7236 (2.6597) Prec@1 39.062 (42.492) Prec@5 65.625 (67.670) Epoch: [19][2380/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.3054 (2.6593) Prec@1 47.656 (42.502) Prec@5 72.656 (67.678) Epoch: [19][2390/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.5390 (2.6590) Prec@1 43.750 (42.503) Prec@5 71.094 (67.681) Epoch: [19][2400/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.2346 (2.6588) Prec@1 48.438 (42.507) Prec@5 71.094 (67.679) Epoch: [19][2410/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6521 (2.6590) Prec@1 47.656 (42.506) Prec@5 67.969 (67.672) Epoch: [19][2420/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.8719 (2.6590) Prec@1 38.281 (42.503) Prec@5 69.531 (67.675) Epoch: [19][2430/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.5711 (2.6592) Prec@1 43.750 (42.502) Prec@5 67.969 (67.671) Epoch: [19][2440/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.4784 (2.6590) Prec@1 50.781 (42.509) Prec@5 70.312 (67.674) Epoch: [19][2450/10010] Time 0.340 (0.332) Data 0.003 (0.002) Loss 2.8082 (2.6589) Prec@1 38.281 (42.507) Prec@5 67.188 (67.681) Epoch: [19][2460/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7636 (2.6586) Prec@1 46.875 (42.516) Prec@5 65.625 (67.685) Epoch: [19][2470/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.4866 (2.6584) Prec@1 49.219 (42.526) Prec@5 68.750 (67.685) Epoch: [19][2480/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.8155 (2.6584) Prec@1 44.531 (42.530) Prec@5 64.062 (67.690) Epoch: [19][2490/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.1417 (2.6584) Prec@1 52.344 (42.530) Prec@5 77.344 (67.695) Epoch: [19][2500/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.7329 (2.6584) Prec@1 43.750 (42.527) Prec@5 67.188 (67.696) Epoch: [19][2510/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.6795 (2.6589) Prec@1 45.312 (42.519) Prec@5 66.406 (67.685) Epoch: [19][2520/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.5849 (2.6590) Prec@1 42.188 (42.523) Prec@5 72.656 (67.684) Epoch: [19][2530/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5608 (2.6592) Prec@1 41.406 (42.519) Prec@5 71.094 (67.686) Epoch: [19][2540/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.4725 (2.6591) Prec@1 41.406 (42.526) Prec@5 72.656 (67.688) Epoch: [19][2550/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.7842 (2.6594) Prec@1 39.844 (42.522) Prec@5 60.156 (67.679) Epoch: [19][2560/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.6295 (2.6592) Prec@1 45.312 (42.532) Prec@5 66.406 (67.680) Epoch: [19][2570/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.6308 (2.6588) Prec@1 40.625 (42.539) Prec@5 68.750 (67.684) Epoch: [19][2580/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.4801 (2.6587) Prec@1 52.344 (42.551) Prec@5 71.875 (67.688) Epoch: [19][2590/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.8584 (2.6588) Prec@1 36.719 (42.548) Prec@5 67.188 (67.689) Epoch: [19][2600/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.7656 (2.6588) Prec@1 40.625 (42.548) Prec@5 66.406 (67.690) Epoch: [19][2610/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.4456 (2.6591) Prec@1 49.219 (42.552) Prec@5 66.406 (67.686) Epoch: [19][2620/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.9041 (2.6592) Prec@1 40.625 (42.555) Prec@5 62.500 (67.680) Epoch: [19][2630/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7329 (2.6592) Prec@1 38.281 (42.555) Prec@5 68.750 (67.682) Epoch: [19][2640/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6783 (2.6594) Prec@1 39.062 (42.555) Prec@5 70.312 (67.672) Epoch: [19][2650/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6591 (2.6596) Prec@1 39.844 (42.553) Prec@5 65.625 (67.674) Epoch: [19][2660/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7580 (2.6600) Prec@1 42.188 (42.549) Prec@5 64.062 (67.663) Epoch: [19][2670/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7197 (2.6600) Prec@1 42.188 (42.551) Prec@5 70.312 (67.665) Epoch: [19][2680/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5139 (2.6598) Prec@1 42.969 (42.552) Prec@5 75.000 (67.672) Epoch: [19][2690/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.3301 (2.6600) Prec@1 49.219 (42.550) Prec@5 73.438 (67.674) Epoch: [19][2700/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5560 (2.6600) Prec@1 51.562 (42.550) Prec@5 67.969 (67.673) Epoch: [19][2710/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0825 (2.6603) Prec@1 39.062 (42.549) Prec@5 60.156 (67.669) Epoch: [19][2720/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9031 (2.6606) Prec@1 35.938 (42.541) Prec@5 65.625 (67.669) Epoch: [19][2730/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7296 (2.6607) Prec@1 46.094 (42.544) Prec@5 65.625 (67.667) Epoch: [19][2740/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7492 (2.6611) Prec@1 42.969 (42.538) Prec@5 69.531 (67.663) Epoch: [19][2750/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8316 (2.6609) Prec@1 39.844 (42.542) Prec@5 68.750 (67.670) Epoch: [19][2760/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6077 (2.6607) Prec@1 46.094 (42.545) Prec@5 71.875 (67.671) Epoch: [19][2770/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6665 (2.6610) Prec@1 36.719 (42.538) Prec@5 71.875 (67.668) Epoch: [19][2780/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8508 (2.6612) Prec@1 42.188 (42.536) Prec@5 63.281 (67.661) Epoch: [19][2790/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7707 (2.6613) Prec@1 35.938 (42.532) Prec@5 64.844 (67.658) Epoch: [19][2800/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9180 (2.6611) Prec@1 42.969 (42.541) Prec@5 63.281 (67.660) Epoch: [19][2810/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.4078 (2.6613) Prec@1 42.188 (42.536) Prec@5 71.875 (67.657) Epoch: [19][2820/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7994 (2.6619) Prec@1 33.594 (42.524) Prec@5 60.938 (67.645) Epoch: [19][2830/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5575 (2.6617) Prec@1 44.531 (42.531) Prec@5 68.750 (67.651) Epoch: [19][2840/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6114 (2.6621) Prec@1 40.625 (42.527) Prec@5 74.219 (67.645) Epoch: [19][2850/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8310 (2.6624) Prec@1 44.531 (42.516) Prec@5 65.625 (67.645) Epoch: [19][2860/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6491 (2.6625) Prec@1 42.188 (42.512) Prec@5 65.625 (67.639) Epoch: [19][2870/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8175 (2.6624) Prec@1 39.844 (42.519) Prec@5 62.500 (67.638) Epoch: [19][2880/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5533 (2.6623) Prec@1 41.406 (42.514) Prec@5 67.969 (67.640) Epoch: [19][2890/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7066 (2.6621) Prec@1 41.406 (42.517) Prec@5 64.844 (67.645) Epoch: [19][2900/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.0427 (2.6617) Prec@1 33.594 (42.521) Prec@5 60.938 (67.656) Epoch: [19][2910/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4234 (2.6614) Prec@1 46.875 (42.526) Prec@5 71.875 (67.656) Epoch: [19][2920/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8817 (2.6616) Prec@1 38.281 (42.516) Prec@5 61.719 (67.649) Epoch: [19][2930/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7046 (2.6617) Prec@1 39.062 (42.515) Prec@5 65.625 (67.647) Epoch: [19][2940/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9772 (2.6619) Prec@1 39.062 (42.513) Prec@5 59.375 (67.644) Epoch: [19][2950/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5224 (2.6620) Prec@1 51.562 (42.511) Prec@5 70.312 (67.646) Epoch: [19][2960/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5174 (2.6622) Prec@1 42.188 (42.508) Prec@5 72.656 (67.641) Epoch: [19][2970/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.0967 (2.6624) Prec@1 40.625 (42.509) Prec@5 60.938 (67.633) Epoch: [19][2980/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9050 (2.6625) Prec@1 35.156 (42.508) Prec@5 59.375 (67.630) Epoch: [19][2990/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6537 (2.6624) Prec@1 43.750 (42.511) Prec@5 66.406 (67.634) Epoch: [19][3000/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.2759 (2.6626) Prec@1 43.750 (42.506) Prec@5 74.219 (67.634) Epoch: [19][3010/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9312 (2.6626) Prec@1 42.969 (42.509) Prec@5 64.844 (67.631) Epoch: [19][3020/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5861 (2.6627) Prec@1 42.188 (42.499) Prec@5 64.062 (67.629) Epoch: [19][3030/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.6510 (2.6627) Prec@1 41.406 (42.501) Prec@5 68.750 (67.632) Epoch: [19][3040/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6757 (2.6627) Prec@1 38.281 (42.500) Prec@5 71.094 (67.634) Epoch: [19][3050/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6601 (2.6628) Prec@1 46.094 (42.501) Prec@5 69.531 (67.630) Epoch: [19][3060/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8699 (2.6628) Prec@1 40.625 (42.500) Prec@5 63.281 (67.629) Epoch: [19][3070/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8074 (2.6626) Prec@1 37.500 (42.503) Prec@5 64.062 (67.633) Epoch: [19][3080/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5962 (2.6626) Prec@1 46.094 (42.504) Prec@5 67.188 (67.633) Epoch: [19][3090/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5354 (2.6626) Prec@1 40.625 (42.506) Prec@5 69.531 (67.637) Epoch: [19][3100/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.2992 (2.6625) Prec@1 48.438 (42.503) Prec@5 75.000 (67.635) Epoch: [19][3110/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6802 (2.6625) Prec@1 39.062 (42.503) Prec@5 67.188 (67.633) Epoch: [19][3120/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6408 (2.6627) Prec@1 45.312 (42.497) Prec@5 66.406 (67.630) Epoch: [19][3130/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.9275 (2.6628) Prec@1 35.938 (42.495) Prec@5 63.281 (67.628) Epoch: [19][3140/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5581 (2.6630) Prec@1 47.656 (42.490) Prec@5 67.188 (67.623) Epoch: [19][3150/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6601 (2.6628) Prec@1 40.625 (42.493) Prec@5 64.844 (67.622) Epoch: [19][3160/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7830 (2.6630) Prec@1 39.062 (42.489) Prec@5 68.750 (67.616) Epoch: [19][3170/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7056 (2.6624) Prec@1 45.312 (42.500) Prec@5 70.312 (67.625) Epoch: [19][3180/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.3195 (2.6624) Prec@1 46.875 (42.498) Prec@5 73.438 (67.623) Epoch: [19][3190/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5697 (2.6626) Prec@1 45.312 (42.499) Prec@5 71.094 (67.619) Epoch: [19][3200/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5424 (2.6627) Prec@1 44.531 (42.498) Prec@5 71.094 (67.620) Epoch: [19][3210/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5065 (2.6629) Prec@1 42.969 (42.492) Prec@5 69.531 (67.619) Epoch: [19][3220/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0557 (2.6631) Prec@1 42.188 (42.488) Prec@5 61.719 (67.619) Epoch: [19][3230/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5331 (2.6634) Prec@1 42.969 (42.487) Prec@5 67.969 (67.612) Epoch: [19][3240/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.3626 (2.6636) Prec@1 51.562 (42.486) Prec@5 73.438 (67.608) Epoch: [19][3250/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7645 (2.6638) Prec@1 46.094 (42.487) Prec@5 68.750 (67.609) Epoch: [19][3260/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4517 (2.6639) Prec@1 42.188 (42.478) Prec@5 71.094 (67.605) Epoch: [19][3270/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6816 (2.6640) Prec@1 37.500 (42.480) Prec@5 66.406 (67.608) Epoch: [19][3280/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7173 (2.6641) Prec@1 40.625 (42.481) Prec@5 67.969 (67.607) Epoch: [19][3290/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.8695 (2.6643) Prec@1 36.719 (42.479) Prec@5 62.500 (67.598) Epoch: [19][3300/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6810 (2.6643) Prec@1 44.531 (42.478) Prec@5 67.969 (67.596) Epoch: [19][3310/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4505 (2.6644) Prec@1 44.531 (42.473) Prec@5 71.094 (67.592) Epoch: [19][3320/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4001 (2.6643) Prec@1 46.875 (42.476) Prec@5 68.750 (67.589) Epoch: [19][3330/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5978 (2.6641) Prec@1 43.750 (42.476) Prec@5 69.531 (67.596) Epoch: [19][3340/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4005 (2.6640) Prec@1 46.875 (42.478) Prec@5 73.438 (67.598) Epoch: [19][3350/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4983 (2.6639) Prec@1 43.750 (42.476) Prec@5 66.406 (67.598) Epoch: [19][3360/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.2962 (2.6640) Prec@1 44.531 (42.475) Prec@5 75.000 (67.597) Epoch: [19][3370/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4503 (2.6641) Prec@1 43.750 (42.472) Prec@5 70.312 (67.598) Epoch: [19][3380/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8839 (2.6640) Prec@1 37.500 (42.474) Prec@5 62.500 (67.599) Epoch: [19][3390/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4443 (2.6637) Prec@1 47.656 (42.479) Prec@5 71.875 (67.607) Epoch: [19][3400/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4528 (2.6636) Prec@1 46.094 (42.483) Prec@5 71.875 (67.609) Epoch: [19][3410/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7322 (2.6636) Prec@1 43.750 (42.488) Prec@5 69.531 (67.608) Epoch: [19][3420/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6168 (2.6636) Prec@1 42.188 (42.489) Prec@5 67.969 (67.605) Epoch: [19][3430/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.4363 (2.6639) Prec@1 44.531 (42.486) Prec@5 69.531 (67.601) Epoch: [19][3440/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.5460 (2.6638) Prec@1 45.312 (42.488) Prec@5 71.875 (67.604) Epoch: [19][3450/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4627 (2.6637) Prec@1 47.656 (42.488) Prec@5 69.531 (67.602) Epoch: [19][3460/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4023 (2.6639) Prec@1 52.344 (42.482) Prec@5 67.188 (67.597) Epoch: [19][3470/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7360 (2.6640) Prec@1 40.625 (42.481) Prec@5 67.969 (67.594) Epoch: [19][3480/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3982 (2.6637) Prec@1 45.312 (42.487) Prec@5 73.438 (67.599) Epoch: [19][3490/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.9556 (2.6637) Prec@1 41.406 (42.486) Prec@5 65.625 (67.601) Epoch: [19][3500/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.1543 (2.6640) Prec@1 40.625 (42.482) Prec@5 64.062 (67.596) Epoch: [19][3510/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4479 (2.6640) Prec@1 50.781 (42.484) Prec@5 70.312 (67.595) Epoch: [19][3520/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7175 (2.6636) Prec@1 40.625 (42.487) Prec@5 64.062 (67.596) Epoch: [19][3530/10010] Time 0.356 (0.332) Data 0.000 (0.001) Loss 2.8094 (2.6639) Prec@1 35.938 (42.482) Prec@5 63.281 (67.590) Epoch: [19][3540/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7789 (2.6638) Prec@1 40.625 (42.483) Prec@5 64.062 (67.594) Epoch: [19][3550/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8344 (2.6638) Prec@1 40.625 (42.484) Prec@5 66.406 (67.596) Epoch: [19][3560/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6251 (2.6638) Prec@1 46.094 (42.485) Prec@5 65.625 (67.597) Epoch: [19][3570/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6401 (2.6637) Prec@1 41.406 (42.486) Prec@5 68.750 (67.593) Epoch: [19][3580/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8798 (2.6639) Prec@1 42.969 (42.484) Prec@5 62.500 (67.591) Epoch: [19][3590/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4493 (2.6637) Prec@1 42.969 (42.484) Prec@5 71.094 (67.594) Epoch: [19][3600/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5471 (2.6637) Prec@1 46.094 (42.482) Prec@5 71.875 (67.591) Epoch: [19][3610/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5510 (2.6637) Prec@1 47.656 (42.483) Prec@5 74.219 (67.590) Epoch: [19][3620/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6308 (2.6637) Prec@1 41.406 (42.480) Prec@5 67.969 (67.593) Epoch: [19][3630/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6571 (2.6638) Prec@1 40.625 (42.479) Prec@5 67.969 (67.596) Epoch: [19][3640/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6192 (2.6640) Prec@1 43.750 (42.478) Prec@5 71.094 (67.592) Epoch: [19][3650/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5863 (2.6642) Prec@1 45.312 (42.475) Prec@5 69.531 (67.588) Epoch: [19][3660/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.6478 (2.6640) Prec@1 43.750 (42.479) Prec@5 65.625 (67.594) Epoch: [19][3670/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.3858 (2.6641) Prec@1 42.969 (42.474) Prec@5 76.562 (67.597) Epoch: [19][3680/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.8699 (2.6642) Prec@1 42.969 (42.474) Prec@5 59.375 (67.595) Epoch: [19][3690/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7453 (2.6641) Prec@1 43.750 (42.479) Prec@5 66.406 (67.595) Epoch: [19][3700/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5510 (2.6641) Prec@1 44.531 (42.479) Prec@5 66.406 (67.597) Epoch: [19][3710/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7986 (2.6640) Prec@1 36.719 (42.474) Prec@5 67.188 (67.603) Epoch: [19][3720/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5622 (2.6642) Prec@1 43.750 (42.468) Prec@5 71.094 (67.599) Epoch: [19][3730/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9261 (2.6643) Prec@1 32.031 (42.465) Prec@5 61.719 (67.597) Epoch: [19][3740/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.3778 (2.6644) Prec@1 44.531 (42.464) Prec@5 72.656 (67.594) Epoch: [19][3750/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.0646 (2.6644) Prec@1 38.281 (42.460) Prec@5 60.156 (67.592) Epoch: [19][3760/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7619 (2.6643) Prec@1 35.938 (42.457) Prec@5 64.062 (67.594) Epoch: [19][3770/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8827 (2.6640) Prec@1 37.500 (42.461) Prec@5 59.375 (67.599) Epoch: [19][3780/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5763 (2.6642) Prec@1 40.625 (42.459) Prec@5 70.312 (67.596) Epoch: [19][3790/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7088 (2.6645) Prec@1 44.531 (42.457) Prec@5 60.156 (67.590) Epoch: [19][3800/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7478 (2.6644) Prec@1 41.406 (42.455) Prec@5 69.531 (67.594) Epoch: [19][3810/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6070 (2.6643) Prec@1 42.188 (42.461) Prec@5 64.062 (67.597) Epoch: [19][3820/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6840 (2.6645) Prec@1 44.531 (42.459) Prec@5 69.531 (67.596) Epoch: [19][3830/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8951 (2.6646) Prec@1 41.406 (42.454) Prec@5 67.969 (67.594) Epoch: [19][3840/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6660 (2.6646) Prec@1 44.531 (42.454) Prec@5 68.750 (67.594) Epoch: [19][3850/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4535 (2.6646) Prec@1 40.625 (42.453) Prec@5 67.969 (67.593) Epoch: [19][3860/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5863 (2.6649) Prec@1 48.438 (42.451) Prec@5 67.188 (67.585) Epoch: [19][3870/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8977 (2.6650) Prec@1 42.188 (42.449) Prec@5 64.844 (67.584) Epoch: [19][3880/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5574 (2.6651) Prec@1 47.656 (42.448) Prec@5 67.969 (67.584) Epoch: [19][3890/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.3239 (2.6652) Prec@1 49.219 (42.451) Prec@5 73.438 (67.582) Epoch: [19][3900/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.5397 (2.6655) Prec@1 43.750 (42.450) Prec@5 69.531 (67.580) Epoch: [19][3910/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.8603 (2.6656) Prec@1 42.969 (42.450) Prec@5 63.281 (67.581) Epoch: [19][3920/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8355 (2.6659) Prec@1 40.625 (42.447) Prec@5 60.156 (67.575) Epoch: [19][3930/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7194 (2.6661) Prec@1 41.406 (42.444) Prec@5 71.094 (67.568) Epoch: [19][3940/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6096 (2.6660) Prec@1 43.750 (42.446) Prec@5 66.406 (67.570) Epoch: [19][3950/10010] Time 0.303 (0.332) Data 0.000 (0.001) Loss 2.8493 (2.6660) Prec@1 44.531 (42.449) Prec@5 65.625 (67.569) Epoch: [19][3960/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8092 (2.6660) Prec@1 42.188 (42.448) Prec@5 62.500 (67.568) Epoch: [19][3970/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.4798 (2.6660) Prec@1 48.438 (42.452) Prec@5 67.969 (67.568) Epoch: [19][3980/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7848 (2.6661) Prec@1 40.625 (42.448) Prec@5 67.969 (67.565) Epoch: [19][3990/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9907 (2.6662) Prec@1 42.969 (42.449) Prec@5 60.938 (67.564) Epoch: [19][4000/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5107 (2.6661) Prec@1 45.312 (42.453) Prec@5 67.188 (67.563) Epoch: [19][4010/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5249 (2.6659) Prec@1 42.969 (42.454) Prec@5 71.875 (67.568) Epoch: [19][4020/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5521 (2.6660) Prec@1 42.969 (42.449) Prec@5 67.188 (67.567) Epoch: [19][4030/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4518 (2.6661) Prec@1 41.406 (42.444) Prec@5 72.656 (67.569) Epoch: [19][4040/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8257 (2.6663) Prec@1 36.719 (42.440) Prec@5 64.062 (67.564) Epoch: [19][4050/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6200 (2.6659) Prec@1 39.844 (42.443) Prec@5 69.531 (67.572) Epoch: [19][4060/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6678 (2.6658) Prec@1 45.312 (42.448) Prec@5 62.500 (67.571) Epoch: [19][4070/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7740 (2.6662) Prec@1 39.844 (42.445) Prec@5 65.625 (67.566) Epoch: [19][4080/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3559 (2.6662) Prec@1 44.531 (42.447) Prec@5 69.531 (67.567) Epoch: [19][4090/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7901 (2.6663) Prec@1 41.406 (42.449) Prec@5 60.156 (67.561) Epoch: [19][4100/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.3168 (2.6663) Prec@1 44.531 (42.449) Prec@5 75.781 (67.561) Epoch: [19][4110/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6562 (2.6662) Prec@1 44.531 (42.448) Prec@5 65.625 (67.559) Epoch: [19][4120/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4652 (2.6663) Prec@1 46.094 (42.449) Prec@5 71.875 (67.555) Epoch: [19][4130/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7501 (2.6664) Prec@1 39.062 (42.447) Prec@5 64.062 (67.554) Epoch: [19][4140/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7174 (2.6665) Prec@1 44.531 (42.448) Prec@5 64.062 (67.553) Epoch: [19][4150/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5028 (2.6666) Prec@1 42.969 (42.444) Prec@5 67.969 (67.546) Epoch: [19][4160/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4281 (2.6670) Prec@1 49.219 (42.435) Prec@5 71.875 (67.540) Epoch: [19][4170/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9204 (2.6672) Prec@1 42.969 (42.436) Prec@5 64.844 (67.536) Epoch: [19][4180/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6380 (2.6672) Prec@1 42.188 (42.437) Prec@5 67.188 (67.536) Epoch: [19][4190/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.0656 (2.6676) Prec@1 35.938 (42.429) Prec@5 63.281 (67.530) Epoch: [19][4200/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4176 (2.6674) Prec@1 46.875 (42.432) Prec@5 72.656 (67.536) Epoch: [19][4210/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6218 (2.6676) Prec@1 39.844 (42.428) Prec@5 71.094 (67.532) Epoch: [19][4220/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6298 (2.6678) Prec@1 39.844 (42.424) Prec@5 70.312 (67.532) /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: [19][4230/10010] Time 0.347 (0.332) Data 0.002 (0.001) Loss 2.5221 (2.6677) Prec@1 43.750 (42.424) Prec@5 71.875 (67.533) Epoch: [19][4240/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9793 (2.6678) Prec@1 38.281 (42.424) Prec@5 62.500 (67.531) Epoch: [19][4250/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7731 (2.6680) Prec@1 42.188 (42.423) Prec@5 68.750 (67.527) Epoch: [19][4260/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9192 (2.6681) Prec@1 37.500 (42.417) Prec@5 61.719 (67.524) Epoch: [19][4270/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3903 (2.6684) Prec@1 42.969 (42.410) Prec@5 72.656 (67.521) Epoch: [19][4280/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7286 (2.6686) Prec@1 42.188 (42.407) Prec@5 67.969 (67.521) Epoch: [19][4290/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7359 (2.6689) Prec@1 38.281 (42.402) Prec@5 65.625 (67.514) Epoch: [19][4300/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6910 (2.6688) Prec@1 46.094 (42.402) Prec@5 72.656 (67.517) Epoch: [19][4310/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5752 (2.6685) Prec@1 42.188 (42.410) Prec@5 68.750 (67.524) Epoch: [19][4320/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6839 (2.6686) Prec@1 46.875 (42.408) Prec@5 65.625 (67.521) Epoch: [19][4330/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8354 (2.6687) Prec@1 37.500 (42.401) Prec@5 63.281 (67.516) Epoch: [19][4340/10010] Time 0.325 (0.332) Data 0.004 (0.001) Loss 2.3707 (2.6684) Prec@1 52.344 (42.408) Prec@5 69.531 (67.523) Epoch: [19][4350/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.1715 (2.6685) Prec@1 33.594 (42.409) Prec@5 64.062 (67.522) Epoch: [19][4360/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6689 (2.6685) Prec@1 42.188 (42.410) Prec@5 66.406 (67.523) Epoch: [19][4370/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7606 (2.6686) Prec@1 42.969 (42.408) Prec@5 69.531 (67.519) Epoch: [19][4380/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9010 (2.6686) Prec@1 36.719 (42.405) Prec@5 63.281 (67.522) Epoch: [19][4390/10010] Time 0.323 (0.332) Data 0.003 (0.001) Loss 2.8126 (2.6688) Prec@1 35.938 (42.402) Prec@5 64.062 (67.518) Epoch: [19][4400/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5705 (2.6687) Prec@1 39.062 (42.403) Prec@5 67.969 (67.518) Epoch: [19][4410/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.4544 (2.6686) Prec@1 38.281 (42.405) Prec@5 70.312 (67.519) Epoch: [19][4420/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.1187 (2.6689) Prec@1 35.156 (42.399) Prec@5 61.719 (67.512) Epoch: [19][4430/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7313 (2.6689) Prec@1 42.969 (42.398) Prec@5 68.750 (67.513) Epoch: [19][4440/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7002 (2.6691) Prec@1 42.188 (42.394) Prec@5 70.312 (67.514) Epoch: [19][4450/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 2.4624 (2.6689) Prec@1 42.969 (42.396) Prec@5 77.344 (67.517) Epoch: [19][4460/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.4006 (2.6689) Prec@1 48.438 (42.395) Prec@5 77.344 (67.520) Epoch: [19][4470/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5779 (2.6689) Prec@1 44.531 (42.395) Prec@5 70.312 (67.521) Epoch: [19][4480/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7031 (2.6691) Prec@1 35.938 (42.390) Prec@5 65.625 (67.517) Epoch: [19][4490/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5355 (2.6691) Prec@1 41.406 (42.392) Prec@5 72.656 (67.520) Epoch: [19][4500/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.5304 (2.6693) Prec@1 44.531 (42.389) Prec@5 68.750 (67.517) Epoch: [19][4510/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5554 (2.6694) Prec@1 44.531 (42.390) Prec@5 69.531 (67.519) Epoch: [19][4520/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8933 (2.6695) Prec@1 39.062 (42.385) Prec@5 60.156 (67.516) Epoch: [19][4530/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8589 (2.6695) Prec@1 34.375 (42.385) Prec@5 62.500 (67.516) Epoch: [19][4540/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6265 (2.6695) Prec@1 43.750 (42.384) Prec@5 65.625 (67.514) Epoch: [19][4550/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.3219 (2.6693) Prec@1 47.656 (42.384) Prec@5 68.750 (67.516) Epoch: [19][4560/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6378 (2.6694) Prec@1 42.969 (42.379) Prec@5 66.406 (67.515) Epoch: [19][4570/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5424 (2.6694) Prec@1 47.656 (42.376) Prec@5 70.312 (67.515) Epoch: [19][4580/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9178 (2.6693) Prec@1 45.312 (42.380) Prec@5 63.281 (67.516) Epoch: [19][4590/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6537 (2.6693) Prec@1 40.625 (42.379) Prec@5 69.531 (67.518) Epoch: [19][4600/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6800 (2.6695) Prec@1 40.625 (42.374) Prec@5 64.844 (67.514) Epoch: [19][4610/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6216 (2.6696) Prec@1 49.219 (42.371) Prec@5 68.750 (67.514) Epoch: [19][4620/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5567 (2.6699) Prec@1 46.094 (42.369) Prec@5 67.969 (67.510) Epoch: [19][4630/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5308 (2.6700) Prec@1 47.656 (42.368) Prec@5 69.531 (67.507) Epoch: [19][4640/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8570 (2.6699) Prec@1 38.281 (42.370) Prec@5 63.281 (67.509) Epoch: [19][4650/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0415 (2.6698) Prec@1 37.500 (42.373) Prec@5 64.062 (67.513) Epoch: [19][4660/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6113 (2.6700) Prec@1 46.094 (42.372) Prec@5 71.094 (67.510) Epoch: [19][4670/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9926 (2.6699) Prec@1 37.500 (42.372) Prec@5 61.719 (67.510) Epoch: [19][4680/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8635 (2.6701) Prec@1 36.719 (42.371) Prec@5 64.844 (67.510) Epoch: [19][4690/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7898 (2.6701) Prec@1 36.719 (42.372) Prec@5 66.406 (67.510) Epoch: [19][4700/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9209 (2.6700) Prec@1 39.062 (42.375) Prec@5 59.375 (67.514) Epoch: [19][4710/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7533 (2.6701) Prec@1 39.062 (42.374) Prec@5 60.938 (67.509) Epoch: [19][4720/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5988 (2.6701) Prec@1 42.188 (42.374) Prec@5 67.969 (67.510) Epoch: [19][4730/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8224 (2.6700) Prec@1 36.719 (42.375) Prec@5 68.750 (67.512) Epoch: [19][4740/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4702 (2.6700) Prec@1 39.844 (42.373) Prec@5 70.312 (67.510) Epoch: [19][4750/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.6532 (2.6699) Prec@1 42.188 (42.373) Prec@5 69.531 (67.510) Epoch: [19][4760/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7693 (2.6699) Prec@1 42.188 (42.375) Prec@5 68.750 (67.512) Epoch: [19][4770/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4685 (2.6699) Prec@1 41.406 (42.376) Prec@5 72.656 (67.513) Epoch: [19][4780/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.2190 (2.6701) Prec@1 37.500 (42.371) Prec@5 59.375 (67.509) Epoch: [19][4790/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6923 (2.6702) Prec@1 42.969 (42.367) Prec@5 70.312 (67.507) Epoch: [19][4800/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.9868 (2.6704) Prec@1 39.062 (42.365) Prec@5 64.062 (67.506) Epoch: [19][4810/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6917 (2.6704) Prec@1 36.719 (42.363) Prec@5 68.750 (67.506) Epoch: [19][4820/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6287 (2.6703) Prec@1 41.406 (42.364) Prec@5 65.625 (67.508) Epoch: [19][4830/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.5329 (2.6702) Prec@1 38.281 (42.365) Prec@5 71.875 (67.509) Epoch: [19][4840/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5201 (2.6703) Prec@1 42.188 (42.362) Prec@5 68.750 (67.506) Epoch: [19][4850/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7715 (2.6702) Prec@1 38.281 (42.359) Prec@5 62.500 (67.508) Epoch: [19][4860/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7093 (2.6703) Prec@1 42.188 (42.360) Prec@5 67.188 (67.508) Epoch: [19][4870/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6837 (2.6704) Prec@1 40.625 (42.358) Prec@5 71.094 (67.504) Epoch: [19][4880/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7458 (2.6706) Prec@1 40.625 (42.356) Prec@5 64.844 (67.504) Epoch: [19][4890/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7175 (2.6709) Prec@1 45.312 (42.352) Prec@5 67.969 (67.498) Epoch: [19][4900/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7292 (2.6709) Prec@1 39.062 (42.354) Prec@5 64.844 (67.499) Epoch: [19][4910/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5384 (2.6710) Prec@1 45.312 (42.356) Prec@5 67.969 (67.496) Epoch: [19][4920/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5041 (2.6707) Prec@1 42.969 (42.361) Prec@5 71.875 (67.502) Epoch: [19][4930/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.4854 (2.6708) Prec@1 47.656 (42.359) Prec@5 73.438 (67.503) Epoch: [19][4940/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.8024 (2.6711) Prec@1 37.500 (42.355) Prec@5 69.531 (67.499) Epoch: [19][4950/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.3378 (2.6710) Prec@1 43.750 (42.355) Prec@5 71.875 (67.503) Epoch: [19][4960/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5056 (2.6709) Prec@1 42.969 (42.354) Prec@5 69.531 (67.504) Epoch: [19][4970/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6028 (2.6709) Prec@1 44.531 (42.350) Prec@5 70.312 (67.507) Epoch: [19][4980/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.2963 (2.6708) Prec@1 46.094 (42.353) Prec@5 75.000 (67.509) Epoch: [19][4990/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8239 (2.6709) Prec@1 41.406 (42.355) Prec@5 66.406 (67.508) Epoch: [19][5000/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.2472 (2.6706) Prec@1 47.656 (42.360) Prec@5 72.656 (67.511) Epoch: [19][5010/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.8364 (2.6707) Prec@1 35.938 (42.357) Prec@5 65.625 (67.508) Epoch: [19][5020/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7240 (2.6706) Prec@1 39.844 (42.364) Prec@5 67.188 (67.512) Epoch: [19][5030/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.8011 (2.6705) Prec@1 37.500 (42.362) Prec@5 64.844 (67.511) Epoch: [19][5040/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7919 (2.6707) Prec@1 44.531 (42.359) Prec@5 66.406 (67.511) Epoch: [19][5050/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7185 (2.6708) Prec@1 42.969 (42.354) Prec@5 66.406 (67.509) Epoch: [19][5060/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.3512 (2.6708) Prec@1 47.656 (42.355) Prec@5 73.438 (67.507) Epoch: [19][5070/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6888 (2.6709) Prec@1 46.094 (42.354) Prec@5 69.531 (67.506) Epoch: [19][5080/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6910 (2.6708) Prec@1 48.438 (42.360) Prec@5 72.656 (67.512) Epoch: [19][5090/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.2499 (2.6707) Prec@1 45.312 (42.361) Prec@5 71.094 (67.513) Epoch: [19][5100/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4097 (2.6706) Prec@1 45.312 (42.361) Prec@5 71.094 (67.514) Epoch: [19][5110/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.2213 (2.6707) Prec@1 48.438 (42.360) Prec@5 75.781 (67.509) Epoch: [19][5120/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8822 (2.6707) Prec@1 43.750 (42.361) Prec@5 63.281 (67.510) Epoch: [19][5130/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5068 (2.6709) Prec@1 46.875 (42.355) Prec@5 69.531 (67.507) Epoch: [19][5140/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8142 (2.6707) Prec@1 35.938 (42.359) Prec@5 60.938 (67.510) Epoch: [19][5150/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4662 (2.6706) Prec@1 41.406 (42.359) Prec@5 68.750 (67.512) Epoch: [19][5160/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.0652 (2.6706) Prec@1 35.938 (42.357) Prec@5 60.156 (67.514) Epoch: [19][5170/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6597 (2.6705) Prec@1 46.094 (42.358) Prec@5 63.281 (67.516) Epoch: [19][5180/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.3519 (2.6703) Prec@1 48.438 (42.361) Prec@5 71.875 (67.521) Epoch: [19][5190/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 2.6429 (2.6702) Prec@1 46.094 (42.363) Prec@5 67.188 (67.524) Epoch: [19][5200/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5454 (2.6703) Prec@1 42.188 (42.362) Prec@5 64.844 (67.520) Epoch: [19][5210/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6908 (2.6705) Prec@1 41.406 (42.358) Prec@5 68.750 (67.519) Epoch: [19][5220/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6273 (2.6703) Prec@1 45.312 (42.361) Prec@5 71.094 (67.523) Epoch: [19][5230/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 2.5245 (2.6702) Prec@1 44.531 (42.363) Prec@5 70.312 (67.523) Epoch: [19][5240/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4086 (2.6702) Prec@1 42.969 (42.362) Prec@5 73.438 (67.524) Epoch: [19][5250/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9542 (2.6702) Prec@1 37.500 (42.363) Prec@5 62.500 (67.524) Epoch: [19][5260/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8136 (2.6701) Prec@1 36.719 (42.364) Prec@5 61.719 (67.526) Epoch: [19][5270/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7240 (2.6701) Prec@1 42.969 (42.366) Prec@5 65.625 (67.528) Epoch: [19][5280/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5655 (2.6700) Prec@1 42.969 (42.364) Prec@5 64.844 (67.531) Epoch: [19][5290/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7381 (2.6701) Prec@1 40.625 (42.365) Prec@5 63.281 (67.532) Epoch: [19][5300/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8870 (2.6699) Prec@1 41.406 (42.367) Prec@5 68.750 (67.534) Epoch: [19][5310/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5376 (2.6700) Prec@1 40.625 (42.367) Prec@5 67.969 (67.532) Epoch: [19][5320/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6230 (2.6699) Prec@1 46.875 (42.369) Prec@5 68.750 (67.534) Epoch: [19][5330/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6022 (2.6698) Prec@1 42.969 (42.373) Prec@5 68.750 (67.538) Epoch: [19][5340/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4272 (2.6697) Prec@1 45.312 (42.374) Prec@5 75.000 (67.541) Epoch: [19][5350/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.4988 (2.6698) Prec@1 40.625 (42.374) Prec@5 71.094 (67.537) Epoch: [19][5360/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6283 (2.6702) Prec@1 45.312 (42.366) Prec@5 71.094 (67.533) Epoch: [19][5370/10010] Time 0.352 (0.332) Data 0.001 (0.001) Loss 3.1642 (2.6703) Prec@1 39.062 (42.363) Prec@5 57.031 (67.530) Epoch: [19][5380/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4655 (2.6702) Prec@1 45.312 (42.363) Prec@5 70.312 (67.532) Epoch: [19][5390/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4234 (2.6701) Prec@1 46.094 (42.363) Prec@5 69.531 (67.531) Epoch: [19][5400/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6279 (2.6700) Prec@1 44.531 (42.365) Prec@5 67.969 (67.531) Epoch: [19][5410/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9809 (2.6702) Prec@1 38.281 (42.363) Prec@5 61.719 (67.526) Epoch: [19][5420/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7217 (2.6702) Prec@1 42.969 (42.364) Prec@5 67.188 (67.525) Epoch: [19][5430/10010] Time 0.310 (0.332) Data 0.001 (0.001) Loss 3.0023 (2.6702) Prec@1 35.938 (42.368) Prec@5 63.281 (67.525) Epoch: [19][5440/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9274 (2.6705) Prec@1 35.156 (42.365) Prec@5 59.375 (67.517) Epoch: [19][5450/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.8679 (2.6706) Prec@1 34.375 (42.362) Prec@5 61.719 (67.515) Epoch: [19][5460/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.1437 (2.6708) Prec@1 38.281 (42.357) Prec@5 64.062 (67.514) Epoch: [19][5470/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9502 (2.6709) Prec@1 36.719 (42.354) Prec@5 64.062 (67.511) Epoch: [19][5480/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.7988 (2.6709) Prec@1 38.281 (42.351) Prec@5 60.938 (67.508) Epoch: [19][5490/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6607 (2.6711) Prec@1 41.406 (42.348) Prec@5 70.312 (67.510) Epoch: [19][5500/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.5175 (2.6711) Prec@1 50.000 (42.350) Prec@5 71.094 (67.511) Epoch: [19][5510/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9861 (2.6713) Prec@1 39.062 (42.349) Prec@5 64.062 (67.509) Epoch: [19][5520/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6457 (2.6714) Prec@1 44.531 (42.347) Prec@5 67.969 (67.505) Epoch: [19][5530/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5757 (2.6714) Prec@1 43.750 (42.349) Prec@5 73.438 (67.507) Epoch: [19][5540/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6670 (2.6713) Prec@1 42.969 (42.350) Prec@5 65.625 (67.508) Epoch: [19][5550/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7107 (2.6714) Prec@1 40.625 (42.348) Prec@5 69.531 (67.505) Epoch: [19][5560/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7417 (2.6713) Prec@1 40.625 (42.349) Prec@5 68.750 (67.505) Epoch: [19][5570/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.2952 (2.6713) Prec@1 49.219 (42.350) Prec@5 73.438 (67.503) Epoch: [19][5580/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7203 (2.6713) Prec@1 41.406 (42.346) Prec@5 66.406 (67.504) Epoch: [19][5590/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.3521 (2.6712) Prec@1 43.750 (42.347) Prec@5 74.219 (67.504) Epoch: [19][5600/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6445 (2.6712) Prec@1 39.844 (42.346) Prec@5 67.188 (67.504) Epoch: [19][5610/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6225 (2.6714) Prec@1 42.188 (42.344) Prec@5 71.875 (67.502) Epoch: [19][5620/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.9690 (2.6715) Prec@1 37.500 (42.342) Prec@5 64.844 (67.502) Epoch: [19][5630/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7199 (2.6715) Prec@1 42.188 (42.344) Prec@5 68.750 (67.502) Epoch: [19][5640/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.5537 (2.6715) Prec@1 41.406 (42.340) Prec@5 70.312 (67.502) Epoch: [19][5650/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9124 (2.6714) Prec@1 41.406 (42.343) Prec@5 61.719 (67.501) Epoch: [19][5660/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6623 (2.6714) Prec@1 39.844 (42.343) Prec@5 70.312 (67.501) Epoch: [19][5670/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7197 (2.6714) Prec@1 41.406 (42.345) Prec@5 64.062 (67.503) Epoch: [19][5680/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5228 (2.6715) Prec@1 42.969 (42.344) Prec@5 67.188 (67.501) Epoch: [19][5690/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.2450 (2.6714) Prec@1 46.875 (42.343) Prec@5 75.781 (67.504) Epoch: [19][5700/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6269 (2.6713) Prec@1 48.438 (42.342) Prec@5 66.406 (67.505) Epoch: [19][5710/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7933 (2.6714) Prec@1 40.625 (42.340) Prec@5 65.625 (67.501) Epoch: [19][5720/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6514 (2.6714) Prec@1 45.312 (42.342) Prec@5 63.281 (67.501) Epoch: [19][5730/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7596 (2.6715) Prec@1 40.625 (42.340) Prec@5 65.625 (67.501) Epoch: [19][5740/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4873 (2.6715) Prec@1 41.406 (42.342) Prec@5 75.781 (67.500) Epoch: [19][5750/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4810 (2.6715) Prec@1 45.312 (42.342) Prec@5 71.094 (67.501) Epoch: [19][5760/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8012 (2.6715) Prec@1 35.938 (42.340) Prec@5 66.406 (67.498) Epoch: [19][5770/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8402 (2.6715) Prec@1 42.188 (42.339) Prec@5 66.406 (67.497) Epoch: [19][5780/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8936 (2.6717) Prec@1 39.062 (42.333) Prec@5 64.062 (67.494) Epoch: [19][5790/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5393 (2.6717) Prec@1 41.406 (42.333) Prec@5 70.312 (67.497) Epoch: [19][5800/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 3.0458 (2.6718) Prec@1 38.281 (42.333) Prec@5 63.281 (67.495) Epoch: [19][5810/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.5029 (2.6719) Prec@1 41.406 (42.333) Prec@5 73.438 (67.493) Epoch: [19][5820/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6500 (2.6719) Prec@1 38.281 (42.333) Prec@5 67.188 (67.492) Epoch: [19][5830/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8065 (2.6721) Prec@1 39.844 (42.330) Prec@5 68.750 (67.490) Epoch: [19][5840/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6940 (2.6719) Prec@1 42.969 (42.331) Prec@5 60.938 (67.497) Epoch: [19][5850/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7244 (2.6721) Prec@1 38.281 (42.327) Prec@5 64.062 (67.493) Epoch: [19][5860/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6668 (2.6720) Prec@1 46.875 (42.329) Prec@5 67.188 (67.496) Epoch: [19][5870/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8192 (2.6720) Prec@1 42.188 (42.330) Prec@5 66.406 (67.497) Epoch: [19][5880/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7481 (2.6719) Prec@1 40.625 (42.332) Prec@5 62.500 (67.497) Epoch: [19][5890/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7988 (2.6721) Prec@1 42.969 (42.328) Prec@5 64.062 (67.492) Epoch: [19][5900/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7915 (2.6722) Prec@1 40.625 (42.322) Prec@5 63.281 (67.489) Epoch: [19][5910/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9601 (2.6722) Prec@1 39.844 (42.322) Prec@5 64.062 (67.490) Epoch: [19][5920/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8746 (2.6723) Prec@1 35.938 (42.323) Prec@5 62.500 (67.487) Epoch: [19][5930/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6009 (2.6722) Prec@1 42.969 (42.324) Prec@5 66.406 (67.489) Epoch: [19][5940/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8445 (2.6723) Prec@1 35.156 (42.321) Prec@5 72.656 (67.489) Epoch: [19][5950/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.9089 (2.6725) Prec@1 39.062 (42.317) Prec@5 60.938 (67.485) Epoch: [19][5960/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7844 (2.6726) Prec@1 41.406 (42.316) Prec@5 66.406 (67.484) Epoch: [19][5970/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5193 (2.6727) Prec@1 48.438 (42.315) Prec@5 74.219 (67.487) Epoch: [19][5980/10010] Time 0.329 (0.332) Data 0.002 (0.001) Loss 2.6369 (2.6726) Prec@1 45.312 (42.317) Prec@5 70.312 (67.487) Epoch: [19][5990/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6577 (2.6726) Prec@1 48.438 (42.320) Prec@5 72.656 (67.489) Epoch: [19][6000/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.5636 (2.6726) Prec@1 42.969 (42.321) Prec@5 69.531 (67.487) Epoch: [19][6010/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7296 (2.6728) Prec@1 41.406 (42.319) Prec@5 67.188 (67.484) Epoch: [19][6020/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7578 (2.6728) Prec@1 42.188 (42.320) Prec@5 66.406 (67.485) Epoch: [19][6030/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9799 (2.6728) Prec@1 40.625 (42.320) Prec@5 64.062 (67.484) Epoch: [19][6040/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.4845 (2.6730) Prec@1 39.844 (42.320) Prec@5 71.094 (67.484) Epoch: [19][6050/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9482 (2.6732) Prec@1 39.062 (42.317) Prec@5 60.938 (67.480) Epoch: [19][6060/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8519 (2.6734) Prec@1 35.938 (42.316) Prec@5 64.844 (67.476) Epoch: [19][6070/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.9463 (2.6734) Prec@1 44.531 (42.319) Prec@5 61.719 (67.478) Epoch: [19][6080/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.3160 (2.6734) Prec@1 51.562 (42.320) Prec@5 73.438 (67.479) Epoch: [19][6090/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8863 (2.6733) Prec@1 40.625 (42.324) Prec@5 62.500 (67.481) Epoch: [19][6100/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8708 (2.6733) Prec@1 39.844 (42.322) Prec@5 65.625 (67.481) Epoch: [19][6110/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6028 (2.6734) Prec@1 41.406 (42.319) Prec@5 67.969 (67.479) Epoch: [19][6120/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5397 (2.6732) Prec@1 42.969 (42.322) Prec@5 69.531 (67.481) Epoch: [19][6130/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.9481 (2.6733) Prec@1 38.281 (42.320) Prec@5 62.500 (67.480) Epoch: [19][6140/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5160 (2.6732) Prec@1 46.875 (42.323) Prec@5 68.750 (67.480) Epoch: [19][6150/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.5120 (2.6732) Prec@1 41.406 (42.321) Prec@5 71.875 (67.481) Epoch: [19][6160/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6910 (2.6732) Prec@1 42.188 (42.323) Prec@5 67.188 (67.482) Epoch: [19][6170/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7893 (2.6734) Prec@1 42.188 (42.321) Prec@5 71.094 (67.481) Epoch: [19][6180/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.3664 (2.6736) Prec@1 49.219 (42.319) Prec@5 73.438 (67.478) Epoch: [19][6190/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6867 (2.6736) Prec@1 42.969 (42.317) Prec@5 68.750 (67.481) Epoch: [19][6200/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0216 (2.6737) Prec@1 39.062 (42.316) Prec@5 57.812 (67.479) Epoch: [19][6210/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7098 (2.6737) Prec@1 38.281 (42.317) Prec@5 66.406 (67.480) Epoch: [19][6220/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.2441 (2.6738) Prec@1 49.219 (42.315) Prec@5 72.656 (67.477) Epoch: [19][6230/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6213 (2.6740) Prec@1 49.219 (42.315) Prec@5 72.656 (67.476) Epoch: [19][6240/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4808 (2.6740) Prec@1 46.875 (42.316) Prec@5 68.750 (67.477) Epoch: [19][6250/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5098 (2.6740) Prec@1 46.094 (42.317) Prec@5 68.750 (67.476) Epoch: [19][6260/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8404 (2.6742) Prec@1 37.500 (42.313) Prec@5 60.156 (67.474) Epoch: [19][6270/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6399 (2.6740) Prec@1 39.844 (42.314) Prec@5 64.844 (67.476) Epoch: [19][6280/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9168 (2.6741) Prec@1 39.062 (42.311) Prec@5 61.719 (67.474) Epoch: [19][6290/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7978 (2.6741) Prec@1 39.062 (42.312) Prec@5 61.719 (67.471) Epoch: [19][6300/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5858 (2.6740) Prec@1 44.531 (42.315) Prec@5 67.969 (67.475) Epoch: [19][6310/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6860 (2.6739) Prec@1 39.062 (42.313) Prec@5 66.406 (67.476) Epoch: [19][6320/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6535 (2.6739) Prec@1 41.406 (42.315) Prec@5 67.969 (67.478) Epoch: [19][6330/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6125 (2.6738) Prec@1 40.625 (42.318) Prec@5 70.312 (67.481) Epoch: [19][6340/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.7956 (2.6740) Prec@1 40.625 (42.320) Prec@5 65.625 (67.480) Epoch: [19][6350/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.9431 (2.6742) Prec@1 39.062 (42.316) Prec@5 63.281 (67.476) Epoch: [19][6360/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8662 (2.6742) Prec@1 39.062 (42.316) Prec@5 65.625 (67.478) Epoch: [19][6370/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8029 (2.6741) Prec@1 43.750 (42.318) Prec@5 67.969 (67.478) Epoch: [19][6380/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6482 (2.6741) Prec@1 43.750 (42.320) Prec@5 67.188 (67.479) Epoch: [19][6390/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5797 (2.6742) Prec@1 46.875 (42.318) Prec@5 68.750 (67.478) Epoch: [19][6400/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7928 (2.6743) Prec@1 40.625 (42.315) Prec@5 66.406 (67.476) Epoch: [19][6410/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6872 (2.6744) Prec@1 49.219 (42.319) Prec@5 64.844 (67.474) Epoch: [19][6420/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7303 (2.6744) Prec@1 40.625 (42.317) Prec@5 72.656 (67.475) Epoch: [19][6430/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 3.0218 (2.6746) Prec@1 40.625 (42.316) Prec@5 64.844 (67.472) Epoch: [19][6440/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.4653 (2.6746) Prec@1 48.438 (42.315) Prec@5 69.531 (67.473) Epoch: [19][6450/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 3.0390 (2.6745) Prec@1 34.375 (42.315) Prec@5 64.844 (67.473) Epoch: [19][6460/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5981 (2.6743) Prec@1 43.750 (42.318) Prec@5 68.750 (67.478) Epoch: [19][6470/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8053 (2.6742) Prec@1 41.406 (42.319) Prec@5 63.281 (67.478) Epoch: [19][6480/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.5624 (2.6743) Prec@1 43.750 (42.317) Prec@5 68.750 (67.479) Epoch: [19][6490/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.5250 (2.6743) Prec@1 46.875 (42.319) Prec@5 72.656 (67.480) Epoch: [19][6500/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8826 (2.6743) Prec@1 38.281 (42.321) Prec@5 61.719 (67.478) Epoch: [19][6510/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8271 (2.6744) Prec@1 42.969 (42.320) Prec@5 64.844 (67.477) Epoch: [19][6520/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6076 (2.6745) Prec@1 41.406 (42.320) Prec@5 68.750 (67.478) Epoch: [19][6530/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.4919 (2.6745) Prec@1 49.219 (42.319) Prec@5 70.312 (67.477) Epoch: [19][6540/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6431 (2.6746) Prec@1 46.875 (42.316) Prec@5 70.312 (67.476) Epoch: [19][6550/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4731 (2.6746) Prec@1 49.219 (42.314) Prec@5 75.000 (67.478) Epoch: [19][6560/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 2.7045 (2.6745) Prec@1 39.844 (42.315) Prec@5 71.094 (67.480) Epoch: [19][6570/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5932 (2.6746) Prec@1 47.656 (42.315) Prec@5 72.656 (67.481) Epoch: [19][6580/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8422 (2.6745) Prec@1 39.062 (42.315) Prec@5 60.938 (67.481) Epoch: [19][6590/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8332 (2.6745) Prec@1 37.500 (42.315) Prec@5 66.406 (67.481) Epoch: [19][6600/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6780 (2.6745) Prec@1 43.750 (42.316) Prec@5 68.750 (67.479) Epoch: [19][6610/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6782 (2.6745) Prec@1 39.062 (42.314) Prec@5 66.406 (67.479) Epoch: [19][6620/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4809 (2.6745) Prec@1 45.312 (42.312) Prec@5 71.094 (67.480) Epoch: [19][6630/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.1541 (2.6744) Prec@1 49.219 (42.313) Prec@5 71.875 (67.482) Epoch: [19][6640/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8739 (2.6745) Prec@1 38.281 (42.311) Prec@5 61.719 (67.478) Epoch: [19][6650/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0322 (2.6746) Prec@1 35.156 (42.309) Prec@5 64.062 (67.478) Epoch: [19][6660/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8266 (2.6746) Prec@1 41.406 (42.309) Prec@5 67.188 (67.478) Epoch: [19][6670/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9185 (2.6746) Prec@1 38.281 (42.307) Prec@5 60.156 (67.478) Epoch: [19][6680/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 3.0191 (2.6747) Prec@1 34.375 (42.306) Prec@5 61.719 (67.477) Epoch: [19][6690/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9248 (2.6746) Prec@1 42.188 (42.310) Prec@5 61.719 (67.478) Epoch: [19][6700/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5598 (2.6747) Prec@1 42.188 (42.307) Prec@5 71.094 (67.476) Epoch: [19][6710/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.3862 (2.6748) Prec@1 48.438 (42.308) Prec@5 70.312 (67.476) Epoch: [19][6720/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.9114 (2.6748) Prec@1 37.500 (42.308) Prec@5 64.062 (67.477) Epoch: [19][6730/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4110 (2.6748) Prec@1 44.531 (42.309) Prec@5 72.656 (67.477) Epoch: [19][6740/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9566 (2.6748) Prec@1 42.969 (42.309) Prec@5 61.719 (67.476) Epoch: [19][6750/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8238 (2.6749) Prec@1 39.844 (42.307) Prec@5 68.750 (67.476) Epoch: [19][6760/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.1829 (2.6750) Prec@1 37.500 (42.308) Prec@5 59.375 (67.475) Epoch: [19][6770/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7232 (2.6750) Prec@1 38.281 (42.306) Prec@5 68.750 (67.474) Epoch: [19][6780/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 3.0096 (2.6752) Prec@1 35.156 (42.306) Prec@5 57.812 (67.474) Epoch: [19][6790/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8607 (2.6753) Prec@1 38.281 (42.306) Prec@5 64.062 (67.470) Epoch: [19][6800/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4011 (2.6754) Prec@1 49.219 (42.305) Prec@5 72.656 (67.469) Epoch: [19][6810/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5939 (2.6753) Prec@1 40.625 (42.305) Prec@5 71.875 (67.472) Epoch: [19][6820/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.3049 (2.6754) Prec@1 34.375 (42.303) Prec@5 62.500 (67.472) Epoch: [19][6830/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.8314 (2.6755) Prec@1 40.625 (42.302) Prec@5 65.625 (67.469) Epoch: [19][6840/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.4619 (2.6755) Prec@1 47.656 (42.303) Prec@5 71.094 (67.468) Epoch: [19][6850/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.4850 (2.6756) Prec@1 44.531 (42.303) Prec@5 66.406 (67.465) Epoch: [19][6860/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7292 (2.6757) Prec@1 43.750 (42.303) Prec@5 67.969 (67.464) Epoch: [19][6870/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7066 (2.6759) Prec@1 43.750 (42.300) Prec@5 69.531 (67.463) Epoch: [19][6880/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7029 (2.6760) Prec@1 41.406 (42.300) Prec@5 64.062 (67.459) Epoch: [19][6890/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.3887 (2.6759) Prec@1 46.875 (42.299) Prec@5 75.000 (67.461) Epoch: [19][6900/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7396 (2.6759) Prec@1 41.406 (42.299) Prec@5 63.281 (67.459) Epoch: [19][6910/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.3835 (2.6758) Prec@1 42.969 (42.298) Prec@5 73.438 (67.461) Epoch: [19][6920/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8390 (2.6758) Prec@1 39.062 (42.298) Prec@5 66.406 (67.460) Epoch: [19][6930/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8239 (2.6759) Prec@1 40.625 (42.298) Prec@5 64.062 (67.458) Epoch: [19][6940/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7340 (2.6758) Prec@1 41.406 (42.297) Prec@5 64.844 (67.459) Epoch: [19][6950/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.4509 (2.6758) Prec@1 50.781 (42.298) Prec@5 75.000 (67.462) Epoch: [19][6960/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7239 (2.6758) Prec@1 39.062 (42.297) Prec@5 70.312 (67.460) Epoch: [19][6970/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6899 (2.6758) Prec@1 43.750 (42.297) Prec@5 72.656 (67.460) Epoch: [19][6980/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9011 (2.6760) Prec@1 38.281 (42.295) Prec@5 62.500 (67.457) Epoch: [19][6990/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.0008 (2.6762) Prec@1 39.844 (42.295) Prec@5 60.156 (67.456) Epoch: [19][7000/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7178 (2.6762) Prec@1 39.844 (42.296) Prec@5 66.406 (67.456) Epoch: [19][7010/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.2015 (2.6759) Prec@1 48.438 (42.297) Prec@5 75.000 (67.459) Epoch: [19][7020/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9279 (2.6759) Prec@1 39.844 (42.298) Prec@5 64.844 (67.460) Epoch: [19][7030/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4649 (2.6759) Prec@1 44.531 (42.298) Prec@5 72.656 (67.459) Epoch: [19][7040/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.3087 (2.6757) Prec@1 53.125 (42.302) Prec@5 69.531 (67.460) Epoch: [19][7050/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5158 (2.6758) Prec@1 41.406 (42.303) Prec@5 68.750 (67.460) Epoch: [19][7060/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6343 (2.6758) Prec@1 43.750 (42.303) Prec@5 71.875 (67.461) Epoch: [19][7070/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7731 (2.6758) Prec@1 39.844 (42.303) Prec@5 67.188 (67.458) Epoch: [19][7080/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8138 (2.6758) Prec@1 40.625 (42.304) Prec@5 67.188 (67.458) Epoch: [19][7090/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8859 (2.6757) Prec@1 39.844 (42.305) Prec@5 64.062 (67.461) Epoch: [19][7100/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6724 (2.6756) Prec@1 46.875 (42.306) Prec@5 67.188 (67.463) Epoch: [19][7110/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8608 (2.6757) Prec@1 40.625 (42.306) Prec@5 63.281 (67.463) Epoch: [19][7120/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.3084 (2.6755) Prec@1 50.000 (42.307) Prec@5 73.438 (67.465) Epoch: [19][7130/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5790 (2.6756) Prec@1 43.750 (42.305) Prec@5 67.969 (67.464) /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: [19][7140/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.1023 (2.6755) Prec@1 52.344 (42.305) Prec@5 77.344 (67.463) Epoch: [19][7150/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5331 (2.6755) Prec@1 42.969 (42.305) Prec@5 67.188 (67.461) Epoch: [19][7160/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.7808 (2.6754) Prec@1 36.719 (42.306) Prec@5 67.188 (67.462) Epoch: [19][7170/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6359 (2.6754) Prec@1 43.750 (42.305) Prec@5 68.750 (67.463) Epoch: [19][7180/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4945 (2.6754) Prec@1 46.875 (42.307) Prec@5 65.625 (67.463) Epoch: [19][7190/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8289 (2.6754) Prec@1 37.500 (42.306) Prec@5 64.062 (67.464) Epoch: [19][7200/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8664 (2.6753) Prec@1 35.938 (42.305) Prec@5 64.844 (67.466) Epoch: [19][7210/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5342 (2.6754) Prec@1 41.406 (42.303) Prec@5 70.312 (67.464) Epoch: [19][7220/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8074 (2.6756) Prec@1 42.969 (42.299) Prec@5 67.969 (67.462) Epoch: [19][7230/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6476 (2.6756) Prec@1 42.188 (42.295) Prec@5 68.750 (67.462) Epoch: [19][7240/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8829 (2.6755) Prec@1 42.188 (42.297) Prec@5 59.375 (67.462) Epoch: [19][7250/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5233 (2.6754) Prec@1 42.188 (42.301) Prec@5 67.188 (67.464) Epoch: [19][7260/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8057 (2.6754) Prec@1 40.625 (42.300) Prec@5 65.625 (67.463) Epoch: [19][7270/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.4392 (2.6755) Prec@1 49.219 (42.300) Prec@5 75.000 (67.463) Epoch: [19][7280/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.3566 (2.6754) Prec@1 47.656 (42.299) Prec@5 71.875 (67.464) Epoch: [19][7290/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7483 (2.6756) Prec@1 42.969 (42.296) Prec@5 66.406 (67.464) Epoch: [19][7300/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5194 (2.6757) Prec@1 46.094 (42.292) Prec@5 71.094 (67.463) Epoch: [19][7310/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8817 (2.6756) Prec@1 37.500 (42.293) Prec@5 62.500 (67.463) Epoch: [19][7320/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5504 (2.6757) Prec@1 42.188 (42.290) Prec@5 71.094 (67.463) Epoch: [19][7330/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7012 (2.6757) Prec@1 39.062 (42.290) Prec@5 69.531 (67.462) Epoch: [19][7340/10010] Time 0.312 (0.332) Data 0.000 (0.001) Loss 2.5282 (2.6756) Prec@1 46.094 (42.289) Prec@5 71.875 (67.463) /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: [19][7350/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.5370 (2.6756) Prec@1 50.000 (42.290) Prec@5 71.094 (67.463) Epoch: [19][7360/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4142 (2.6756) Prec@1 42.969 (42.291) Prec@5 73.438 (67.462) Epoch: [19][7370/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6816 (2.6755) Prec@1 36.719 (42.294) Prec@5 72.656 (67.464) Epoch: [19][7380/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9240 (2.6755) Prec@1 36.719 (42.295) Prec@5 65.625 (67.464) Epoch: [19][7390/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5009 (2.6756) Prec@1 43.750 (42.293) Prec@5 69.531 (67.462) Epoch: [19][7400/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7012 (2.6757) Prec@1 44.531 (42.293) Prec@5 63.281 (67.463) Epoch: [19][7410/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5843 (2.6756) Prec@1 46.094 (42.296) Prec@5 66.406 (67.464) Epoch: [19][7420/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8936 (2.6756) Prec@1 39.844 (42.297) Prec@5 64.844 (67.464) Epoch: [19][7430/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7522 (2.6757) Prec@1 42.969 (42.296) Prec@5 62.500 (67.463) Epoch: [19][7440/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8089 (2.6757) Prec@1 38.281 (42.293) Prec@5 65.625 (67.462) Epoch: [19][7450/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7269 (2.6757) Prec@1 39.844 (42.295) Prec@5 68.750 (67.462) Epoch: [19][7460/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9494 (2.6756) Prec@1 37.500 (42.299) Prec@5 66.406 (67.463) Epoch: [19][7470/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6785 (2.6756) Prec@1 42.969 (42.299) Prec@5 67.969 (67.463) Epoch: [19][7480/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 2.7146 (2.6756) Prec@1 39.844 (42.300) Prec@5 64.062 (67.461) Epoch: [19][7490/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6203 (2.6756) Prec@1 42.969 (42.298) Prec@5 69.531 (67.462) Epoch: [19][7500/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6919 (2.6756) Prec@1 39.844 (42.300) Prec@5 67.969 (67.464) Epoch: [19][7510/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7556 (2.6755) Prec@1 37.500 (42.303) Prec@5 63.281 (67.466) Epoch: [19][7520/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6437 (2.6755) Prec@1 38.281 (42.304) Prec@5 75.000 (67.468) Epoch: [19][7530/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7876 (2.6754) Prec@1 38.281 (42.303) Prec@5 67.188 (67.471) Epoch: [19][7540/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.4707 (2.6753) Prec@1 43.750 (42.304) Prec@5 69.531 (67.473) Epoch: [19][7550/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0186 (2.6754) Prec@1 37.500 (42.303) Prec@5 60.938 (67.471) Epoch: [19][7560/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9066 (2.6752) Prec@1 35.156 (42.306) Prec@5 65.625 (67.474) Epoch: [19][7570/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6113 (2.6752) Prec@1 42.188 (42.306) Prec@5 70.312 (67.474) Epoch: [19][7580/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5234 (2.6751) Prec@1 47.656 (42.308) Prec@5 65.625 (67.473) Epoch: [19][7590/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9372 (2.6751) Prec@1 39.062 (42.308) Prec@5 64.844 (67.474) Epoch: [19][7600/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 3.0216 (2.6751) Prec@1 44.531 (42.309) Prec@5 63.281 (67.473) Epoch: [19][7610/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8460 (2.6753) Prec@1 45.312 (42.305) Prec@5 61.719 (67.471) Epoch: [19][7620/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.4217 (2.6754) Prec@1 44.531 (42.302) Prec@5 69.531 (67.470) Epoch: [19][7630/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7372 (2.6754) Prec@1 43.750 (42.302) Prec@5 66.406 (67.467) Epoch: [19][7640/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8807 (2.6755) Prec@1 35.156 (42.300) Prec@5 59.375 (67.466) Epoch: [19][7650/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8422 (2.6756) Prec@1 43.750 (42.300) Prec@5 65.625 (67.466) Epoch: [19][7660/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6421 (2.6757) Prec@1 40.625 (42.299) Prec@5 67.969 (67.464) Epoch: [19][7670/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5271 (2.6756) Prec@1 45.312 (42.300) Prec@5 71.875 (67.467) Epoch: [19][7680/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.2682 (2.6758) Prec@1 31.250 (42.298) Prec@5 59.375 (67.464) Epoch: [19][7690/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7555 (2.6759) Prec@1 43.750 (42.294) Prec@5 66.406 (67.462) Epoch: [19][7700/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.2888 (2.6760) Prec@1 51.562 (42.294) Prec@5 73.438 (67.461) Epoch: [19][7710/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 2.4282 (2.6760) Prec@1 49.219 (42.294) Prec@5 71.875 (67.462) Epoch: [19][7720/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.3928 (2.6758) Prec@1 47.656 (42.296) Prec@5 72.656 (67.462) Epoch: [19][7730/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8182 (2.6759) Prec@1 38.281 (42.294) Prec@5 64.062 (67.462) Epoch: [19][7740/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5618 (2.6759) Prec@1 40.625 (42.293) Prec@5 71.875 (67.463) Epoch: [19][7750/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9351 (2.6759) Prec@1 46.875 (42.295) Prec@5 58.594 (67.461) Epoch: [19][7760/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5967 (2.6759) Prec@1 42.969 (42.296) Prec@5 68.750 (67.462) Epoch: [19][7770/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6825 (2.6760) Prec@1 40.625 (42.297) Prec@5 64.844 (67.460) Epoch: [19][7780/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9177 (2.6761) Prec@1 38.281 (42.295) Prec@5 63.281 (67.457) Epoch: [19][7790/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.3467 (2.6761) Prec@1 46.094 (42.293) Prec@5 76.562 (67.460) Epoch: [19][7800/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6477 (2.6761) Prec@1 42.188 (42.292) Prec@5 67.188 (67.459) Epoch: [19][7810/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7587 (2.6762) Prec@1 38.281 (42.292) Prec@5 66.406 (67.458) Epoch: [19][7820/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.1612 (2.6762) Prec@1 48.438 (42.294) Prec@5 75.781 (67.459) Epoch: [19][7830/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9641 (2.6762) Prec@1 39.844 (42.295) Prec@5 64.844 (67.459) Epoch: [19][7840/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8430 (2.6762) Prec@1 37.500 (42.294) Prec@5 62.500 (67.459) Epoch: [19][7850/10010] Time 0.352 (0.332) Data 0.001 (0.001) Loss 2.9339 (2.6763) Prec@1 36.719 (42.292) Prec@5 64.844 (67.457) Epoch: [19][7860/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5868 (2.6763) Prec@1 42.969 (42.291) Prec@5 72.656 (67.457) Epoch: [19][7870/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5361 (2.6763) Prec@1 46.875 (42.293) Prec@5 69.531 (67.459) Epoch: [19][7880/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9697 (2.6764) Prec@1 32.812 (42.291) Prec@5 62.500 (67.457) Epoch: [19][7890/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7424 (2.6764) Prec@1 44.531 (42.291) Prec@5 67.969 (67.460) Epoch: [19][7900/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6657 (2.6762) Prec@1 42.969 (42.294) Prec@5 66.406 (67.461) Epoch: [19][7910/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7775 (2.6761) Prec@1 43.750 (42.296) Prec@5 64.062 (67.463) Epoch: [19][7920/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.2924 (2.6761) Prec@1 46.094 (42.296) Prec@5 77.344 (67.465) Epoch: [19][7930/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7946 (2.6761) Prec@1 44.531 (42.295) Prec@5 62.500 (67.463) Epoch: [19][7940/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6146 (2.6761) Prec@1 46.875 (42.296) Prec@5 69.531 (67.465) Epoch: [19][7950/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5314 (2.6761) Prec@1 47.656 (42.295) Prec@5 67.188 (67.465) Epoch: [19][7960/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7953 (2.6761) Prec@1 44.531 (42.295) Prec@5 64.062 (67.462) Epoch: [19][7970/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7700 (2.6761) Prec@1 36.719 (42.292) Prec@5 66.406 (67.462) Epoch: [19][7980/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7033 (2.6762) Prec@1 40.625 (42.293) Prec@5 70.312 (67.461) Epoch: [19][7990/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.6541 (2.6762) Prec@1 42.188 (42.292) Prec@5 66.406 (67.459) Epoch: [19][8000/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9910 (2.6762) Prec@1 35.156 (42.291) Prec@5 65.625 (67.460) Epoch: [19][8010/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8111 (2.6762) Prec@1 40.625 (42.291) Prec@5 64.062 (67.459) Epoch: [19][8020/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6961 (2.6762) Prec@1 40.625 (42.290) Prec@5 64.062 (67.461) Epoch: [19][8030/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4740 (2.6761) Prec@1 44.531 (42.290) Prec@5 68.750 (67.460) Epoch: [19][8040/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8260 (2.6762) Prec@1 39.062 (42.288) Prec@5 65.625 (67.458) Epoch: [19][8050/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6964 (2.6761) Prec@1 48.438 (42.291) Prec@5 70.312 (67.461) Epoch: [19][8060/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5128 (2.6761) Prec@1 43.750 (42.291) Prec@5 72.656 (67.461) Epoch: [19][8070/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5940 (2.6761) Prec@1 36.719 (42.287) Prec@5 67.188 (67.460) Epoch: [19][8080/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5281 (2.6762) Prec@1 44.531 (42.285) Prec@5 71.094 (67.458) Epoch: [19][8090/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7450 (2.6763) Prec@1 40.625 (42.284) Prec@5 60.156 (67.457) Epoch: [19][8100/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7270 (2.6762) Prec@1 36.719 (42.285) Prec@5 68.750 (67.458) Epoch: [19][8110/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6111 (2.6763) Prec@1 42.969 (42.284) Prec@5 67.969 (67.457) Epoch: [19][8120/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9811 (2.6763) Prec@1 35.156 (42.284) Prec@5 66.406 (67.459) Epoch: [19][8130/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6709 (2.6763) Prec@1 46.875 (42.284) Prec@5 65.625 (67.458) Epoch: [19][8140/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.2532 (2.6765) Prec@1 37.500 (42.282) Prec@5 57.031 (67.455) Epoch: [19][8150/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7005 (2.6765) Prec@1 38.281 (42.282) Prec@5 64.062 (67.452) Epoch: [19][8160/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7407 (2.6766) Prec@1 45.312 (42.282) Prec@5 64.062 (67.450) Epoch: [19][8170/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5368 (2.6765) Prec@1 44.531 (42.283) Prec@5 71.094 (67.450) Epoch: [19][8180/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8390 (2.6765) Prec@1 45.312 (42.285) Prec@5 64.062 (67.450) Epoch: [19][8190/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4051 (2.6765) Prec@1 46.094 (42.285) Prec@5 69.531 (67.448) Epoch: [19][8200/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6344 (2.6766) Prec@1 40.625 (42.285) Prec@5 67.969 (67.445) Epoch: [19][8210/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7127 (2.6766) Prec@1 39.844 (42.284) Prec@5 69.531 (67.446) Epoch: [19][8220/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.8188 (2.6766) Prec@1 39.844 (42.285) Prec@5 69.531 (67.447) Epoch: [19][8230/10010] Time 0.353 (0.332) Data 0.001 (0.001) Loss 3.1543 (2.6766) Prec@1 32.031 (42.286) Prec@5 60.156 (67.447) Epoch: [19][8240/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0023 (2.6766) Prec@1 54.688 (42.285) Prec@5 76.562 (67.448) Epoch: [19][8250/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.4246 (2.6765) Prec@1 46.875 (42.287) Prec@5 70.312 (67.448) Epoch: [19][8260/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6671 (2.6766) Prec@1 45.312 (42.286) Prec@5 66.406 (67.448) Epoch: [19][8270/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6940 (2.6766) Prec@1 46.094 (42.286) Prec@5 64.844 (67.445) Epoch: [19][8280/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5570 (2.6766) Prec@1 39.844 (42.286) Prec@5 69.531 (67.446) Epoch: [19][8290/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7924 (2.6767) Prec@1 41.406 (42.286) Prec@5 67.188 (67.444) Epoch: [19][8300/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.4610 (2.6767) Prec@1 42.969 (42.286) Prec@5 73.438 (67.444) Epoch: [19][8310/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.0477 (2.6767) Prec@1 35.938 (42.287) Prec@5 64.062 (67.446) Epoch: [19][8320/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5513 (2.6766) Prec@1 44.531 (42.288) Prec@5 68.750 (67.447) Epoch: [19][8330/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4376 (2.6767) Prec@1 48.438 (42.285) Prec@5 69.531 (67.445) Epoch: [19][8340/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5978 (2.6768) Prec@1 48.438 (42.286) Prec@5 67.969 (67.443) Epoch: [19][8350/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.5487 (2.6768) Prec@1 48.438 (42.286) Prec@5 65.625 (67.443) Epoch: [19][8360/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5801 (2.6767) Prec@1 39.062 (42.287) Prec@5 71.094 (67.442) Epoch: [19][8370/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8865 (2.6768) Prec@1 40.625 (42.288) Prec@5 65.625 (67.442) Epoch: [19][8380/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5068 (2.6768) Prec@1 46.094 (42.287) Prec@5 68.750 (67.440) Epoch: [19][8390/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.3701 (2.6768) Prec@1 49.219 (42.286) Prec@5 73.438 (67.440) Epoch: [19][8400/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5091 (2.6768) Prec@1 47.656 (42.285) Prec@5 69.531 (67.440) /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: [19][8410/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8636 (2.6769) Prec@1 35.938 (42.285) Prec@5 64.062 (67.440) Epoch: [19][8420/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8377 (2.6770) Prec@1 37.500 (42.282) Prec@5 66.406 (67.440) Epoch: [19][8430/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.7002 (2.6769) Prec@1 46.094 (42.283) Prec@5 66.406 (67.440) Epoch: [19][8440/10010] Time 0.356 (0.332) Data 0.000 (0.001) Loss 2.4734 (2.6768) Prec@1 43.750 (42.285) Prec@5 75.000 (67.442) Epoch: [19][8450/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6919 (2.6768) Prec@1 50.781 (42.287) Prec@5 70.312 (67.442) Epoch: [19][8460/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 2.7483 (2.6768) Prec@1 36.719 (42.285) Prec@5 62.500 (67.441) Epoch: [19][8470/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.5182 (2.6768) Prec@1 47.656 (42.285) Prec@5 70.312 (67.442) Epoch: [19][8480/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8155 (2.6768) Prec@1 40.625 (42.285) Prec@5 66.406 (67.443) Epoch: [19][8490/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6759 (2.6769) Prec@1 40.625 (42.284) Prec@5 65.625 (67.442) Epoch: [19][8500/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5251 (2.6769) Prec@1 43.750 (42.282) Prec@5 71.094 (67.442) Epoch: [19][8510/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.5097 (2.6769) Prec@1 42.188 (42.281) Prec@5 68.750 (67.441) Epoch: [19][8520/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7401 (2.6769) Prec@1 39.844 (42.280) Prec@5 67.969 (67.443) Epoch: [19][8530/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8770 (2.6769) Prec@1 39.062 (42.280) Prec@5 64.062 (67.441) Epoch: [19][8540/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5512 (2.6769) Prec@1 48.438 (42.282) Prec@5 72.656 (67.442) Epoch: [19][8550/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5366 (2.6769) Prec@1 48.438 (42.282) Prec@5 71.094 (67.442) Epoch: [19][8560/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 3.0720 (2.6769) Prec@1 34.375 (42.281) Prec@5 57.812 (67.441) Epoch: [19][8570/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5242 (2.6770) Prec@1 51.562 (42.284) Prec@5 74.219 (67.440) Epoch: [19][8580/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6235 (2.6770) Prec@1 42.969 (42.284) Prec@5 66.406 (67.440) Epoch: [19][8590/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5994 (2.6770) Prec@1 44.531 (42.285) Prec@5 63.281 (67.438) Epoch: [19][8600/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6856 (2.6770) Prec@1 37.500 (42.282) Prec@5 66.406 (67.437) Epoch: [19][8610/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6042 (2.6771) Prec@1 41.406 (42.280) Prec@5 64.062 (67.438) Epoch: [19][8620/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8624 (2.6772) Prec@1 32.812 (42.278) Prec@5 64.844 (67.436) Epoch: [19][8630/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.8906 (2.6772) Prec@1 42.188 (42.277) Prec@5 66.406 (67.436) /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: [19][8640/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8556 (2.6775) Prec@1 40.625 (42.273) Prec@5 60.938 (67.431) Epoch: [19][8650/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6720 (2.6776) Prec@1 42.969 (42.271) Prec@5 69.531 (67.429) Epoch: [19][8660/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9373 (2.6777) Prec@1 39.062 (42.267) Prec@5 63.281 (67.428) Epoch: [19][8670/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5540 (2.6776) Prec@1 43.750 (42.268) Prec@5 71.875 (67.431) Epoch: [19][8680/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.3822 (2.6776) Prec@1 40.625 (42.268) Prec@5 72.656 (67.431) Epoch: [19][8690/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8345 (2.6775) Prec@1 41.406 (42.269) Prec@5 60.938 (67.433) Epoch: [19][8700/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.3772 (2.6775) Prec@1 47.656 (42.270) Prec@5 72.656 (67.433) Epoch: [19][8710/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7422 (2.6776) Prec@1 39.062 (42.269) Prec@5 66.406 (67.431) Epoch: [19][8720/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8741 (2.6776) Prec@1 37.500 (42.269) Prec@5 60.938 (67.430) Epoch: [19][8730/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9680 (2.6775) Prec@1 36.719 (42.270) Prec@5 60.938 (67.429) Epoch: [19][8740/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8510 (2.6775) Prec@1 35.156 (42.269) Prec@5 65.625 (67.428) Epoch: [19][8750/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8227 (2.6777) Prec@1 42.969 (42.267) Prec@5 63.281 (67.426) Epoch: [19][8760/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6475 (2.6777) Prec@1 43.750 (42.266) Prec@5 64.844 (67.425) Epoch: [19][8770/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5592 (2.6778) Prec@1 46.094 (42.264) Prec@5 71.094 (67.424) Epoch: [19][8780/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8581 (2.6779) Prec@1 37.500 (42.262) Prec@5 69.531 (67.422) Epoch: [19][8790/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7568 (2.6778) Prec@1 46.875 (42.264) Prec@5 64.844 (67.424) Epoch: [19][8800/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.4775 (2.6778) Prec@1 45.312 (42.263) Prec@5 67.969 (67.423) Epoch: [19][8810/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.5635 (2.6778) Prec@1 46.875 (42.265) Prec@5 71.875 (67.423) Epoch: [19][8820/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5384 (2.6777) Prec@1 43.750 (42.266) Prec@5 69.531 (67.424) Epoch: [19][8830/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8788 (2.6777) Prec@1 38.281 (42.265) Prec@5 65.625 (67.423) Epoch: [19][8840/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6866 (2.6777) Prec@1 47.656 (42.265) Prec@5 63.281 (67.423) Epoch: [19][8850/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7022 (2.6779) Prec@1 40.625 (42.263) Prec@5 69.531 (67.421) Epoch: [19][8860/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.9675 (2.6779) Prec@1 38.281 (42.263) Prec@5 64.062 (67.421) Epoch: [19][8870/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6275 (2.6778) Prec@1 39.062 (42.262) Prec@5 66.406 (67.420) Epoch: [19][8880/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5115 (2.6778) Prec@1 34.375 (42.259) Prec@5 72.656 (67.421) Epoch: [19][8890/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8849 (2.6778) Prec@1 40.625 (42.260) Prec@5 64.062 (67.420) Epoch: [19][8900/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6982 (2.6780) Prec@1 40.625 (42.256) Prec@5 66.406 (67.418) Epoch: [19][8910/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.9376 (2.6781) Prec@1 39.844 (42.253) Prec@5 64.062 (67.416) Epoch: [19][8920/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6454 (2.6781) Prec@1 49.219 (42.254) Prec@5 67.969 (67.416) Epoch: [19][8930/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7966 (2.6783) Prec@1 37.500 (42.250) Prec@5 67.969 (67.413) Epoch: [19][8940/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7916 (2.6783) Prec@1 37.500 (42.249) Prec@5 65.625 (67.413) Epoch: [19][8950/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.4118 (2.6782) Prec@1 41.406 (42.249) Prec@5 67.969 (67.413) Epoch: [19][8960/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5967 (2.6782) Prec@1 39.844 (42.248) Prec@5 65.625 (67.412) Epoch: [19][8970/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4835 (2.6782) Prec@1 42.188 (42.250) Prec@5 72.656 (67.412) Epoch: [19][8980/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6046 (2.6782) Prec@1 46.875 (42.250) Prec@5 71.094 (67.413) Epoch: [19][8990/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6690 (2.6782) Prec@1 43.750 (42.251) Prec@5 65.625 (67.413) Epoch: [19][9000/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8474 (2.6782) Prec@1 43.750 (42.251) Prec@5 62.500 (67.412) Epoch: [19][9010/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6531 (2.6782) Prec@1 41.406 (42.251) Prec@5 67.969 (67.411) Epoch: [19][9020/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6015 (2.6782) Prec@1 42.188 (42.251) Prec@5 67.969 (67.412) Epoch: [19][9030/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5575 (2.6782) Prec@1 39.062 (42.250) Prec@5 70.312 (67.411) Epoch: [19][9040/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7256 (2.6783) Prec@1 41.406 (42.251) Prec@5 67.969 (67.411) Epoch: [19][9050/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4824 (2.6782) Prec@1 46.875 (42.253) Prec@5 72.656 (67.411) Epoch: [19][9060/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9841 (2.6783) Prec@1 43.750 (42.252) Prec@5 61.719 (67.411) Epoch: [19][9070/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8649 (2.6784) Prec@1 39.062 (42.251) Prec@5 64.062 (67.411) Epoch: [19][9080/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1457 (2.6784) Prec@1 28.906 (42.248) Prec@5 60.938 (67.410) Epoch: [19][9090/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7266 (2.6785) Prec@1 39.844 (42.247) Prec@5 68.750 (67.408) Epoch: [19][9100/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6635 (2.6785) Prec@1 40.625 (42.248) Prec@5 66.406 (67.407) Epoch: [19][9110/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.3226 (2.6785) Prec@1 49.219 (42.249) Prec@5 75.000 (67.408) Epoch: [19][9120/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6887 (2.6786) Prec@1 42.188 (42.248) Prec@5 64.062 (67.404) Epoch: [19][9130/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.9196 (2.6786) Prec@1 32.812 (42.248) Prec@5 63.281 (67.407) Epoch: [19][9140/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7413 (2.6785) Prec@1 37.500 (42.248) Prec@5 66.406 (67.408) Epoch: [19][9150/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6417 (2.6784) Prec@1 42.969 (42.249) Prec@5 64.844 (67.407) Epoch: [19][9160/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9526 (2.6786) Prec@1 34.375 (42.246) Prec@5 64.844 (67.404) Epoch: [19][9170/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6916 (2.6787) Prec@1 48.438 (42.245) Prec@5 67.188 (67.402) Epoch: [19][9180/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.8771 (2.6786) Prec@1 31.250 (42.247) Prec@5 64.844 (67.403) Epoch: [19][9190/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8251 (2.6786) Prec@1 36.719 (42.244) Prec@5 64.062 (67.403) Epoch: [19][9200/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5351 (2.6786) Prec@1 48.438 (42.245) Prec@5 70.312 (67.404) Epoch: [19][9210/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.3510 (2.6786) Prec@1 46.875 (42.248) Prec@5 70.312 (67.406) Epoch: [19][9220/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.2548 (2.6784) Prec@1 55.469 (42.250) Prec@5 73.438 (67.407) Epoch: [19][9230/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7740 (2.6784) Prec@1 39.844 (42.250) Prec@5 66.406 (67.407) Epoch: [19][9240/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9222 (2.6784) Prec@1 37.500 (42.249) Prec@5 64.844 (67.408) Epoch: [19][9250/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7344 (2.6786) Prec@1 42.188 (42.245) Prec@5 67.969 (67.407) Epoch: [19][9260/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8129 (2.6788) Prec@1 37.500 (42.241) Prec@5 65.625 (67.404) Epoch: [19][9270/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.1084 (2.6788) Prec@1 38.281 (42.242) Prec@5 60.938 (67.404) Epoch: [19][9280/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6370 (2.6787) Prec@1 44.531 (42.244) Prec@5 69.531 (67.407) Epoch: [19][9290/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4978 (2.6787) Prec@1 45.312 (42.243) Prec@5 70.312 (67.408) Epoch: [19][9300/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6753 (2.6787) Prec@1 42.969 (42.243) Prec@5 66.406 (67.409) Epoch: [19][9310/10010] Time 0.339 (0.332) Data 0.003 (0.001) Loss 2.6280 (2.6786) Prec@1 40.625 (42.244) Prec@5 72.656 (67.412) Epoch: [19][9320/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4964 (2.6786) Prec@1 44.531 (42.244) Prec@5 68.750 (67.412) Epoch: [19][9330/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6073 (2.6786) Prec@1 39.844 (42.244) Prec@5 67.969 (67.413) Epoch: [19][9340/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6487 (2.6787) Prec@1 43.750 (42.244) Prec@5 64.062 (67.411) Epoch: [19][9350/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.4621 (2.6786) Prec@1 45.312 (42.244) Prec@5 71.094 (67.412) Epoch: [19][9360/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4790 (2.6786) Prec@1 42.188 (42.243) Prec@5 67.188 (67.412) Epoch: [19][9370/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4277 (2.6785) Prec@1 47.656 (42.245) Prec@5 71.875 (67.415) Epoch: [19][9380/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4202 (2.6785) Prec@1 46.875 (42.245) Prec@5 69.531 (67.414) Epoch: [19][9390/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.3734 (2.6785) Prec@1 49.219 (42.246) Prec@5 78.125 (67.417) Epoch: [19][9400/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5097 (2.6785) Prec@1 47.656 (42.247) Prec@5 67.969 (67.416) Epoch: [19][9410/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.6414 (2.6784) Prec@1 43.750 (42.246) Prec@5 66.406 (67.415) Epoch: [19][9420/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6695 (2.6784) Prec@1 50.000 (42.249) Prec@5 68.750 (67.415) Epoch: [19][9430/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7442 (2.6786) Prec@1 39.844 (42.245) Prec@5 67.188 (67.411) Epoch: [19][9440/10010] Time 0.321 (0.332) Data 0.003 (0.001) Loss 2.5646 (2.6786) Prec@1 47.656 (42.246) Prec@5 66.406 (67.411) Epoch: [19][9450/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4193 (2.6785) Prec@1 45.312 (42.246) Prec@5 69.531 (67.411) Epoch: [19][9460/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4726 (2.6785) Prec@1 44.531 (42.246) Prec@5 69.531 (67.411) Epoch: [19][9470/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6294 (2.6785) Prec@1 41.406 (42.248) Prec@5 67.969 (67.411) Epoch: [19][9480/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5604 (2.6785) Prec@1 48.438 (42.249) Prec@5 72.656 (67.412) Epoch: [19][9490/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6143 (2.6785) Prec@1 35.938 (42.249) Prec@5 67.188 (67.411) Epoch: [19][9500/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.3344 (2.6785) Prec@1 48.438 (42.249) Prec@5 75.000 (67.412) Epoch: [19][9510/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4769 (2.6785) Prec@1 47.656 (42.249) Prec@5 70.312 (67.412) Epoch: [19][9520/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7050 (2.6784) Prec@1 44.531 (42.252) Prec@5 63.281 (67.411) Epoch: [19][9530/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7872 (2.6784) Prec@1 42.188 (42.252) Prec@5 65.625 (67.410) Epoch: [19][9540/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6933 (2.6786) Prec@1 35.938 (42.248) Prec@5 67.969 (67.408) Epoch: [19][9550/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.3690 (2.6786) Prec@1 47.656 (42.250) Prec@5 76.562 (67.407) Epoch: [19][9560/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.0457 (2.6787) Prec@1 33.594 (42.248) Prec@5 65.625 (67.406) Epoch: [19][9570/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7490 (2.6786) Prec@1 39.062 (42.249) Prec@5 66.406 (67.408) Epoch: [19][9580/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8221 (2.6788) Prec@1 36.719 (42.247) Prec@5 69.531 (67.406) Epoch: [19][9590/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.3648 (2.6786) Prec@1 47.656 (42.249) Prec@5 75.781 (67.410) Epoch: [19][9600/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7382 (2.6787) Prec@1 39.062 (42.248) Prec@5 64.062 (67.410) Epoch: [19][9610/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7638 (2.6787) Prec@1 38.281 (42.246) Prec@5 64.062 (67.410) Epoch: [19][9620/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5005 (2.6787) Prec@1 46.875 (42.246) Prec@5 71.875 (67.411) Epoch: [19][9630/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6432 (2.6788) Prec@1 44.531 (42.243) Prec@5 69.531 (67.407) Epoch: [19][9640/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5910 (2.6788) Prec@1 45.312 (42.244) Prec@5 68.750 (67.407) Epoch: [19][9650/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9354 (2.6789) Prec@1 40.625 (42.242) Prec@5 66.406 (67.405) Epoch: [19][9660/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6733 (2.6789) Prec@1 46.875 (42.242) Prec@5 67.188 (67.407) Epoch: [19][9670/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.3998 (2.6788) Prec@1 45.312 (42.243) Prec@5 71.094 (67.407) Epoch: [19][9680/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5541 (2.6788) Prec@1 39.062 (42.245) Prec@5 66.406 (67.406) Epoch: [19][9690/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8327 (2.6787) Prec@1 45.312 (42.247) Prec@5 65.625 (67.407) Epoch: [19][9700/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.3871 (2.6787) Prec@1 46.094 (42.248) Prec@5 67.969 (67.407) Epoch: [19][9710/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8753 (2.6788) Prec@1 46.094 (42.248) Prec@5 66.406 (67.406) Epoch: [19][9720/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6489 (2.6789) Prec@1 44.531 (42.247) Prec@5 70.312 (67.403) Epoch: [19][9730/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6375 (2.6790) Prec@1 37.500 (42.246) Prec@5 66.406 (67.401) Epoch: [19][9740/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.8221 (2.6791) Prec@1 46.094 (42.246) Prec@5 62.500 (67.400) Epoch: [19][9750/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 3.0431 (2.6791) Prec@1 33.594 (42.245) Prec@5 63.281 (67.398) Epoch: [19][9760/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.0052 (2.6793) Prec@1 39.844 (42.244) Prec@5 58.594 (67.396) Epoch: [19][9770/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6013 (2.6793) Prec@1 41.406 (42.243) Prec@5 71.094 (67.395) Epoch: [19][9780/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8653 (2.6794) Prec@1 34.375 (42.241) Prec@5 61.719 (67.394) Epoch: [19][9790/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5910 (2.6794) Prec@1 43.750 (42.241) Prec@5 69.531 (67.394) Epoch: [19][9800/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 3.0948 (2.6793) Prec@1 35.156 (42.244) Prec@5 61.719 (67.395) Epoch: [19][9810/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5665 (2.6794) Prec@1 41.406 (42.242) Prec@5 70.312 (67.395) Epoch: [19][9820/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5522 (2.6794) Prec@1 49.219 (42.242) Prec@5 71.875 (67.394) Epoch: [19][9830/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8285 (2.6795) Prec@1 39.062 (42.240) Prec@5 60.938 (67.392) Epoch: [19][9840/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7152 (2.6795) Prec@1 38.281 (42.238) Prec@5 69.531 (67.391) Epoch: [19][9850/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8401 (2.6796) Prec@1 35.156 (42.237) Prec@5 65.625 (67.389) Epoch: [19][9860/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5747 (2.6796) Prec@1 39.844 (42.240) Prec@5 69.531 (67.390) Epoch: [19][9870/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3780 (2.6795) Prec@1 46.094 (42.240) Prec@5 68.750 (67.390) Epoch: [19][9880/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0247 (2.6794) Prec@1 33.594 (42.243) Prec@5 63.281 (67.391) Epoch: [19][9890/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.3269 (2.6794) Prec@1 46.875 (42.243) Prec@5 74.219 (67.392) Epoch: [19][9900/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5889 (2.6793) Prec@1 44.531 (42.244) Prec@5 67.969 (67.393) Epoch: [19][9910/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7201 (2.6794) Prec@1 44.531 (42.244) Prec@5 64.844 (67.392) Epoch: [19][9920/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6183 (2.6794) Prec@1 36.719 (42.242) Prec@5 68.750 (67.390) Epoch: [19][9930/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9805 (2.6795) Prec@1 37.500 (42.238) Prec@5 57.031 (67.387) Epoch: [19][9940/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7596 (2.6795) Prec@1 44.531 (42.240) Prec@5 65.625 (67.388) Epoch: [19][9950/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.3691 (2.6796) Prec@1 45.312 (42.239) Prec@5 70.312 (67.387) Epoch: [19][9960/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7770 (2.6797) Prec@1 41.406 (42.237) Prec@5 65.625 (67.386) Epoch: [19][9970/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6615 (2.6797) Prec@1 45.312 (42.237) Prec@5 67.969 (67.385) Epoch: [19][9980/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5186 (2.6798) Prec@1 44.531 (42.237) Prec@5 73.438 (67.384) Epoch: [19][9990/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 3.0166 (2.6799) Prec@1 38.281 (42.238) Prec@5 62.500 (67.382) Epoch: [19][10000/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8280 (2.6800) Prec@1 45.312 (42.235) Prec@5 69.531 (67.380) Test: [0/391] Time 1.447 (1.447) Loss 1.6856 (1.6856) Prec@1 66.406 (66.406) Prec@5 80.469 (80.469) Test: [10/391] Time 0.099 (0.232) Loss 1.9940 (1.5990) Prec@1 57.812 (63.494) Prec@5 80.469 (84.588) Test: [20/391] Time 0.109 (0.176) Loss 1.9757 (1.9306) Prec@1 53.125 (55.283) Prec@5 78.906 (79.948) Test: [30/391] Time 0.106 (0.154) Loss 2.5763 (2.1065) Prec@1 46.875 (51.033) Prec@5 69.531 (77.671) Test: [40/391] Time 0.102 (0.142) Loss 2.2354 (1.9412) Prec@1 44.531 (54.573) Prec@5 72.656 (79.630) Test: [50/391] Time 0.103 (0.135) Loss 1.2929 (2.0646) Prec@1 71.875 (52.665) Prec@5 84.375 (77.635) Test: [60/391] Time 0.105 (0.131) Loss 2.3029 (1.9850) Prec@1 46.094 (54.034) Prec@5 74.219 (78.829) Test: [70/391] Time 0.107 (0.128) Loss 2.4061 (2.0241) Prec@1 38.281 (52.454) Prec@5 73.438 (78.411) Test: [80/391] Time 0.112 (0.125) Loss 1.7664 (2.0700) Prec@1 56.250 (50.810) Prec@5 82.031 (77.922) Test: [90/391] Time 0.103 (0.123) Loss 2.1786 (2.1166) Prec@1 31.250 (49.674) Prec@5 83.594 (77.052) Test: [100/391] Time 0.162 (0.122) Loss 2.6917 (2.0916) Prec@1 27.344 (49.536) Prec@5 69.531 (77.653) Test: [110/391] Time 0.103 (0.121) Loss 2.4631 (2.1050) Prec@1 36.719 (48.951) Prec@5 75.000 (77.590) Test: [120/391] Time 0.116 (0.120) Loss 1.5174 (2.0749) Prec@1 60.938 (49.684) Prec@5 87.500 (78.131) Test: [130/391] Time 0.110 (0.119) Loss 1.1996 (2.0668) Prec@1 71.094 (49.946) Prec@5 89.062 (78.250) Test: [140/391] Time 0.110 (0.118) Loss 2.5017 (2.0466) Prec@1 38.281 (50.294) Prec@5 75.000 (78.629) Test: [150/391] Time 0.107 (0.117) Loss 1.6894 (2.0493) Prec@1 40.625 (50.191) Prec@5 89.844 (78.606) Test: [160/391] Time 0.104 (0.117) Loss 2.1097 (2.0544) Prec@1 51.562 (50.340) Prec@5 77.344 (78.440) Test: [170/391] Time 0.112 (0.117) Loss 2.8623 (2.1037) Prec@1 40.625 (49.648) Prec@5 67.188 (77.604) Test: [180/391] Time 0.117 (0.116) Loss 4.0410 (2.1568) Prec@1 18.750 (48.813) Prec@5 53.125 (76.830) Test: [190/391] Time 0.104 (0.116) Loss 2.6248 (2.1851) Prec@1 43.750 (48.515) Prec@5 74.219 (76.358) Test: [200/391] Time 0.106 (0.116) Loss 2.3679 (2.2296) Prec@1 45.312 (47.800) Prec@5 72.656 (75.688) Test: [210/391] Time 0.110 (0.115) Loss 2.0548 (2.2418) Prec@1 52.344 (47.678) Prec@5 73.438 (75.489) Test: [220/391] Time 0.110 (0.115) Loss 1.9129 (2.2490) Prec@1 59.375 (47.723) Prec@5 80.469 (75.325) Test: [230/391] Time 0.106 (0.114) Loss 3.9362 (2.2763) Prec@1 19.531 (47.389) Prec@5 47.656 (74.811) Test: [240/391] Time 0.104 (0.114) Loss 3.2876 (2.2879) Prec@1 36.719 (47.423) Prec@5 61.719 (74.559) Test: [250/391] Time 0.106 (0.114) Loss 2.5780 (2.3140) Prec@1 51.562 (47.040) Prec@5 67.188 (74.160) Test: [260/391] Time 0.107 (0.114) Loss 3.6359 (2.3452) Prec@1 25.000 (46.471) Prec@5 50.781 (73.644) Test: [270/391] Time 0.100 (0.113) Loss 3.4500 (2.3558) Prec@1 19.531 (46.350) Prec@5 62.500 (73.432) Test: [280/391] Time 0.107 (0.113) Loss 2.2031 (2.3757) Prec@1 45.312 (46.030) Prec@5 81.250 (73.137) Test: [290/391] Time 0.108 (0.113) Loss 3.2139 (2.3930) Prec@1 28.906 (45.809) Prec@5 60.156 (72.850) Test: [300/391] Time 0.102 (0.113) Loss 2.4579 (2.4077) Prec@1 55.469 (45.629) Prec@5 76.562 (72.604) Test: [310/391] Time 0.110 (0.113) Loss 2.9001 (2.4242) Prec@1 37.500 (45.375) Prec@5 71.094 (72.372) Test: [320/391] Time 0.106 (0.113) Loss 1.5557 (2.4350) Prec@1 65.625 (45.252) Prec@5 83.594 (72.194) Test: [330/391] Time 0.111 (0.112) Loss 3.3382 (2.4680) Prec@1 35.156 (44.753) Prec@5 53.906 (71.587) Test: [340/391] Time 0.106 (0.112) Loss 1.9677 (2.4770) Prec@1 49.219 (44.513) Prec@5 82.031 (71.382) Test: [350/391] Time 0.102 (0.112) Loss 2.4383 (2.4827) Prec@1 47.656 (44.418) Prec@5 69.531 (71.330) Test: [360/391] Time 0.105 (0.112) Loss 2.5261 (2.4921) Prec@1 42.969 (44.263) Prec@5 67.969 (71.252) Test: [370/391] Time 0.119 (0.112) Loss 3.3991 (2.4956) Prec@1 25.000 (44.249) Prec@5 63.281 (71.231) Test: [380/391] Time 0.111 (0.112) Loss 1.5392 (2.5035) Prec@1 63.281 (44.174) Prec@5 84.375 (71.110) Test: [390/391] Time 0.073 (0.112) Loss 4.2001 (2.4939) Prec@1 18.750 (44.420) Prec@5 42.500 (71.262) * Prec@1 44.420 Prec@5 71.262 Epoch: [20][0/10010] Time 3.033 (3.033) Data 2.871 (2.871) Loss 2.5360 (2.5360) Prec@1 50.000 (50.000) Prec@5 66.406 (66.406) Epoch: [20][10/10010] Time 0.314 (0.569) Data 0.001 (0.262) Loss 2.8275 (2.7762) Prec@1 39.844 (41.122) Prec@5 65.625 (65.980) Epoch: [20][20/10010] Time 0.329 (0.451) Data 0.000 (0.137) Loss 2.8147 (2.7457) Prec@1 41.406 (41.183) Prec@5 65.625 (66.220) Epoch: [20][30/10010] Time 0.328 (0.409) Data 0.000 (0.093) Loss 2.8601 (2.7181) Prec@1 39.062 (41.431) Prec@5 64.844 (66.784) Epoch: [20][40/10010] Time 0.335 (0.389) Data 0.000 (0.071) Loss 2.5959 (2.7545) Prec@1 46.875 (41.425) Prec@5 71.094 (66.387) Epoch: [20][50/10010] Time 0.339 (0.377) Data 0.000 (0.057) Loss 3.2498 (2.7137) Prec@1 30.469 (42.172) Prec@5 54.688 (67.080) Epoch: [20][60/10010] Time 0.326 (0.368) Data 0.003 (0.048) Loss 2.8276 (2.7203) Prec@1 35.938 (42.059) Prec@5 65.625 (67.021) Epoch: [20][70/10010] Time 0.342 (0.364) Data 0.001 (0.041) Loss 2.8789 (2.7135) Prec@1 41.406 (42.066) Prec@5 65.625 (67.121) Epoch: [20][80/10010] Time 0.350 (0.361) Data 0.001 (0.036) Loss 2.5275 (2.7037) Prec@1 46.094 (42.139) Prec@5 67.969 (67.159) Epoch: [20][90/10010] Time 0.337 (0.358) Data 0.000 (0.032) Loss 2.5599 (2.6928) Prec@1 45.312 (42.299) Prec@5 69.531 (67.376) Epoch: [20][100/10010] Time 0.328 (0.356) Data 0.001 (0.029) Loss 2.5018 (2.6903) Prec@1 46.875 (42.203) Prec@5 69.531 (67.396) Epoch: [20][110/10010] Time 0.322 (0.353) Data 0.001 (0.027) Loss 2.8410 (2.6742) Prec@1 34.375 (42.342) Prec@5 64.844 (67.673) Epoch: [20][120/10010] Time 0.330 (0.351) Data 0.001 (0.024) Loss 2.4924 (2.6650) Prec@1 43.750 (42.362) Prec@5 71.875 (67.788) Epoch: [20][130/10010] Time 0.331 (0.350) Data 0.001 (0.023) Loss 2.6851 (2.6565) Prec@1 42.188 (42.521) Prec@5 64.844 (67.844) Epoch: [20][140/10010] Time 0.338 (0.349) Data 0.001 (0.021) Loss 2.4352 (2.6544) Prec@1 52.344 (42.581) Prec@5 71.094 (67.819) Epoch: [20][150/10010] Time 0.331 (0.347) Data 0.000 (0.020) Loss 2.4384 (2.6552) Prec@1 44.531 (42.519) Prec@5 67.969 (67.757) Epoch: [20][160/10010] Time 0.347 (0.346) Data 0.001 (0.018) Loss 2.7887 (2.6533) Prec@1 42.188 (42.556) Prec@5 69.531 (67.789) Epoch: [20][170/10010] Time 0.341 (0.346) Data 0.001 (0.017) Loss 2.5640 (2.6502) Prec@1 43.750 (42.539) Prec@5 70.312 (67.823) Epoch: [20][180/10010] Time 0.333 (0.346) Data 0.001 (0.017) Loss 2.6782 (2.6481) Prec@1 45.312 (42.671) Prec@5 64.844 (67.869) Epoch: [20][190/10010] Time 0.345 (0.345) Data 0.001 (0.016) Loss 2.9827 (2.6535) Prec@1 32.031 (42.584) Prec@5 63.281 (67.740) Epoch: [20][200/10010] Time 0.347 (0.345) Data 0.001 (0.015) Loss 2.8199 (2.6491) Prec@1 39.844 (42.627) Prec@5 64.844 (67.809) Epoch: [20][210/10010] Time 0.317 (0.344) Data 0.001 (0.014) Loss 2.7775 (2.6513) Prec@1 41.406 (42.569) Prec@5 60.938 (67.739) Epoch: [20][220/10010] Time 0.327 (0.343) Data 0.000 (0.014) Loss 2.3112 (2.6474) Prec@1 40.625 (42.633) Prec@5 70.312 (67.799) Epoch: [20][230/10010] Time 0.345 (0.343) Data 0.001 (0.013) Loss 2.6753 (2.6473) Prec@1 42.188 (42.610) Prec@5 68.750 (67.823) Epoch: [20][240/10010] Time 0.320 (0.342) Data 0.001 (0.013) Loss 2.4698 (2.6449) Prec@1 47.656 (42.716) Prec@5 73.438 (67.927) Epoch: [20][250/10010] Time 0.335 (0.342) Data 0.001 (0.012) Loss 2.6204 (2.6449) Prec@1 41.406 (42.763) Prec@5 67.188 (67.906) Epoch: [20][260/10010] Time 0.330 (0.341) Data 0.001 (0.012) Loss 2.5734 (2.6458) Prec@1 41.406 (42.753) Prec@5 67.188 (67.867) Epoch: [20][270/10010] Time 0.338 (0.341) Data 0.001 (0.011) Loss 2.5508 (2.6426) Prec@1 39.844 (42.741) Prec@5 71.875 (67.931) Epoch: [20][280/10010] Time 0.338 (0.341) Data 0.000 (0.011) Loss 2.6004 (2.6428) Prec@1 43.750 (42.696) Prec@5 68.750 (67.944) Epoch: [20][290/10010] Time 0.331 (0.340) Data 0.001 (0.011) Loss 2.6882 (2.6436) Prec@1 42.969 (42.690) Prec@5 67.969 (67.950) Epoch: [20][300/10010] Time 0.332 (0.340) Data 0.001 (0.010) Loss 2.9215 (2.6468) Prec@1 34.375 (42.608) Prec@5 60.156 (67.891) Epoch: [20][310/10010] Time 0.323 (0.340) Data 0.001 (0.010) Loss 2.7228 (2.6478) Prec@1 42.188 (42.620) Prec@5 65.625 (67.871) Epoch: [20][320/10010] Time 0.327 (0.339) Data 0.001 (0.010) Loss 2.5639 (2.6499) Prec@1 48.438 (42.604) Prec@5 70.312 (67.798) Epoch: [20][330/10010] Time 0.338 (0.339) Data 0.001 (0.009) Loss 2.6165 (2.6491) Prec@1 36.719 (42.617) Prec@5 71.094 (67.818) Epoch: [20][340/10010] Time 0.329 (0.339) Data 0.001 (0.009) Loss 2.7137 (2.6478) Prec@1 47.656 (42.657) Prec@5 67.188 (67.827) Epoch: [20][350/10010] Time 0.331 (0.338) Data 0.001 (0.009) Loss 2.3455 (2.6484) Prec@1 53.906 (42.688) Prec@5 75.000 (67.820) Epoch: [20][360/10010] Time 0.348 (0.338) Data 0.000 (0.009) Loss 3.1672 (2.6493) Prec@1 33.594 (42.620) Prec@5 61.719 (67.848) Epoch: [20][370/10010] Time 0.343 (0.338) Data 0.001 (0.008) Loss 2.4915 (2.6469) Prec@1 46.094 (42.693) Prec@5 68.750 (67.874) Epoch: [20][380/10010] Time 0.334 (0.338) Data 0.001 (0.008) Loss 2.4779 (2.6487) Prec@1 46.875 (42.696) Prec@5 74.219 (67.846) Epoch: [20][390/10010] Time 0.331 (0.338) Data 0.001 (0.008) Loss 2.2287 (2.6472) Prec@1 50.781 (42.733) Prec@5 75.000 (67.839) Epoch: [20][400/10010] Time 0.338 (0.338) Data 0.000 (0.008) Loss 2.8429 (2.6462) Prec@1 41.406 (42.756) Prec@5 60.156 (67.809) Epoch: [20][410/10010] Time 0.348 (0.338) Data 0.001 (0.008) Loss 2.4624 (2.6439) Prec@1 50.000 (42.786) Prec@5 72.656 (67.849) Epoch: [20][420/10010] Time 0.349 (0.338) Data 0.000 (0.007) Loss 2.4149 (2.6436) Prec@1 50.781 (42.792) Prec@5 68.750 (67.861) Epoch: [20][430/10010] Time 0.347 (0.338) Data 0.000 (0.007) Loss 2.9137 (2.6442) Prec@1 37.500 (42.806) Prec@5 62.500 (67.840) Epoch: [20][440/10010] Time 0.340 (0.337) Data 0.001 (0.007) Loss 2.5288 (2.6429) Prec@1 50.000 (42.854) Prec@5 69.531 (67.885) Epoch: [20][450/10010] Time 0.323 (0.337) Data 0.000 (0.007) Loss 2.8580 (2.6406) Prec@1 44.531 (42.925) Prec@5 63.281 (67.927) Epoch: [20][460/10010] Time 0.323 (0.337) Data 0.001 (0.007) Loss 2.7613 (2.6416) Prec@1 36.719 (42.879) Prec@5 67.969 (67.889) Epoch: [20][470/10010] Time 0.318 (0.337) Data 0.001 (0.007) Loss 3.0331 (2.6443) Prec@1 38.281 (42.839) Prec@5 57.031 (67.844) Epoch: [20][480/10010] Time 0.319 (0.337) Data 0.001 (0.007) Loss 2.4886 (2.6436) Prec@1 46.875 (42.884) Prec@5 67.969 (67.845) Epoch: [20][490/10010] Time 0.344 (0.336) Data 0.000 (0.006) Loss 2.4230 (2.6433) Prec@1 48.438 (42.904) Prec@5 73.438 (67.859) Epoch: [20][500/10010] Time 0.327 (0.336) Data 0.000 (0.006) Loss 2.5256 (2.6444) Prec@1 46.094 (42.888) Prec@5 73.438 (67.858) Epoch: [20][510/10010] Time 0.335 (0.336) Data 0.001 (0.006) Loss 2.5709 (2.6437) Prec@1 42.188 (42.905) Prec@5 71.094 (67.886) Epoch: [20][520/10010] Time 0.338 (0.336) Data 0.001 (0.006) Loss 2.9415 (2.6450) Prec@1 39.062 (42.880) Prec@5 60.938 (67.852) Epoch: [20][530/10010] Time 0.336 (0.336) Data 0.000 (0.006) Loss 2.3504 (2.6460) Prec@1 49.219 (42.866) Prec@5 68.750 (67.819) Epoch: [20][540/10010] Time 0.338 (0.336) Data 0.001 (0.006) Loss 2.7428 (2.6445) Prec@1 38.281 (42.881) Prec@5 60.938 (67.846) Epoch: [20][550/10010] Time 0.333 (0.336) Data 0.001 (0.006) Loss 3.0567 (2.6440) Prec@1 32.031 (42.884) Prec@5 63.281 (67.871) Epoch: [20][560/10010] Time 0.330 (0.336) Data 0.000 (0.006) Loss 2.5829 (2.6425) Prec@1 44.531 (42.891) Prec@5 66.406 (67.895) Epoch: [20][570/10010] Time 0.316 (0.336) Data 0.001 (0.006) Loss 2.3181 (2.6399) Prec@1 46.875 (42.962) Prec@5 70.312 (67.929) Epoch: [20][580/10010] Time 0.323 (0.336) Data 0.001 (0.006) Loss 3.1909 (2.6408) Prec@1 33.594 (42.935) Prec@5 53.906 (67.899) Epoch: [20][590/10010] Time 0.342 (0.336) Data 0.001 (0.005) Loss 2.9248 (2.6415) Prec@1 39.844 (42.933) Prec@5 63.281 (67.892) Epoch: [20][600/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 2.4416 (2.6419) Prec@1 50.000 (42.934) Prec@5 73.438 (67.910) Epoch: [20][610/10010] Time 0.336 (0.335) Data 0.000 (0.005) Loss 2.8373 (2.6432) Prec@1 42.188 (42.920) Prec@5 64.062 (67.878) Epoch: [20][620/10010] Time 0.325 (0.335) Data 0.000 (0.005) Loss 2.4270 (2.6437) Prec@1 44.531 (42.918) Prec@5 69.531 (67.837) Epoch: [20][630/10010] Time 0.329 (0.335) Data 0.000 (0.005) Loss 2.3655 (2.6427) Prec@1 47.656 (42.927) Prec@5 73.438 (67.845) Epoch: [20][640/10010] Time 0.336 (0.335) Data 0.001 (0.005) Loss 2.3207 (2.6414) Prec@1 44.531 (42.955) Prec@5 76.562 (67.871) Epoch: [20][650/10010] Time 0.338 (0.335) Data 0.000 (0.005) Loss 2.5563 (2.6412) Prec@1 39.062 (42.995) Prec@5 67.969 (67.873) Epoch: [20][660/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 2.5578 (2.6407) Prec@1 40.625 (43.008) Prec@5 67.969 (67.886) Epoch: [20][670/10010] Time 0.342 (0.335) Data 0.001 (0.005) Loss 2.4823 (2.6419) Prec@1 42.969 (42.991) Prec@5 68.750 (67.867) Epoch: [20][680/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 2.8920 (2.6415) Prec@1 35.938 (42.986) Prec@5 64.062 (67.866) Epoch: [20][690/10010] Time 0.342 (0.335) Data 0.001 (0.005) Loss 2.6775 (2.6419) Prec@1 41.406 (42.964) Prec@5 67.188 (67.852) Epoch: [20][700/10010] Time 0.340 (0.335) Data 0.001 (0.005) Loss 2.5579 (2.6429) Prec@1 44.531 (42.938) Prec@5 72.656 (67.847) Epoch: [20][710/10010] Time 0.342 (0.335) Data 0.001 (0.005) Loss 2.8052 (2.6431) Prec@1 39.844 (42.924) Prec@5 60.156 (67.849) Epoch: [20][720/10010] Time 0.339 (0.335) Data 0.001 (0.005) Loss 3.1030 (2.6438) Prec@1 35.156 (42.919) Prec@5 60.156 (67.834) Epoch: [20][730/10010] Time 0.330 (0.335) Data 0.001 (0.005) Loss 2.5763 (2.6452) Prec@1 44.531 (42.904) Prec@5 67.969 (67.821) Epoch: [20][740/10010] Time 0.341 (0.335) Data 0.001 (0.005) Loss 2.6930 (2.6442) Prec@1 46.094 (42.922) Prec@5 70.312 (67.852) Epoch: [20][750/10010] Time 0.314 (0.335) Data 0.000 (0.004) Loss 2.7625 (2.6449) Prec@1 41.406 (42.897) Prec@5 64.844 (67.839) Epoch: [20][760/10010] Time 0.326 (0.335) Data 0.000 (0.004) Loss 2.3471 (2.6451) Prec@1 50.781 (42.901) Prec@5 78.906 (67.841) Epoch: [20][770/10010] Time 0.322 (0.335) Data 0.001 (0.004) Loss 2.9791 (2.6450) Prec@1 39.844 (42.929) Prec@5 60.156 (67.824) Epoch: [20][780/10010] Time 0.338 (0.335) Data 0.000 (0.004) Loss 2.6260 (2.6452) Prec@1 46.094 (42.920) Prec@5 68.750 (67.818) Epoch: [20][790/10010] Time 0.348 (0.335) Data 0.001 (0.004) Loss 2.2707 (2.6447) Prec@1 49.219 (42.901) Prec@5 79.688 (67.841) Epoch: [20][800/10010] Time 0.325 (0.335) Data 0.001 (0.004) Loss 2.3984 (2.6455) Prec@1 51.562 (42.891) Prec@5 71.094 (67.823) Epoch: [20][810/10010] Time 0.345 (0.335) Data 0.000 (0.004) Loss 2.6926 (2.6447) Prec@1 45.312 (42.906) Prec@5 67.969 (67.856) Epoch: [20][820/10010] Time 0.328 (0.335) Data 0.001 (0.004) Loss 2.9179 (2.6449) Prec@1 41.406 (42.909) Prec@5 60.938 (67.857) Epoch: [20][830/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.5949 (2.6450) Prec@1 44.531 (42.917) Prec@5 70.312 (67.871) Epoch: [20][840/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 2.4851 (2.6457) Prec@1 48.438 (42.920) Prec@5 71.094 (67.873) Epoch: [20][850/10010] Time 0.342 (0.334) Data 0.000 (0.004) Loss 2.4430 (2.6457) Prec@1 42.969 (42.916) Prec@5 71.875 (67.873) Epoch: [20][860/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.3187 (2.6464) Prec@1 50.000 (42.914) Prec@5 71.094 (67.867) Epoch: [20][870/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.6101 (2.6471) Prec@1 45.312 (42.899) Prec@5 68.750 (67.845) Epoch: [20][880/10010] Time 0.345 (0.334) Data 0.001 (0.004) Loss 2.6494 (2.6472) Prec@1 40.625 (42.906) Prec@5 68.750 (67.848) Epoch: [20][890/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 2.4233 (2.6463) Prec@1 47.656 (42.918) Prec@5 69.531 (67.857) Epoch: [20][900/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 2.4585 (2.6447) Prec@1 46.094 (42.938) Prec@5 65.625 (67.886) Epoch: [20][910/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 2.9939 (2.6454) Prec@1 42.188 (42.942) Prec@5 58.594 (67.879) Epoch: [20][920/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 3.1197 (2.6458) Prec@1 32.812 (42.935) Prec@5 64.844 (67.874) Epoch: [20][930/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.7135 (2.6462) Prec@1 42.188 (42.915) Prec@5 65.625 (67.873) Epoch: [20][940/10010] Time 0.347 (0.334) Data 0.001 (0.004) Loss 2.8556 (2.6463) Prec@1 42.188 (42.894) Prec@5 65.625 (67.873) Epoch: [20][950/10010] Time 0.338 (0.334) Data 0.001 (0.004) Loss 2.8096 (2.6462) Prec@1 36.719 (42.871) Prec@5 64.844 (67.884) Epoch: [20][960/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.4732 (2.6462) Prec@1 46.875 (42.870) Prec@5 73.438 (67.884) Epoch: [20][970/10010] Time 0.329 (0.334) Data 0.001 (0.004) Loss 2.4535 (2.6458) Prec@1 46.094 (42.862) Prec@5 70.312 (67.897) Epoch: [20][980/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.6126 (2.6465) Prec@1 45.312 (42.848) Prec@5 72.656 (67.903) Epoch: [20][990/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 2.7040 (2.6467) Prec@1 42.969 (42.845) Prec@5 64.062 (67.903) Epoch: [20][1000/10010] Time 0.341 (0.334) Data 0.000 (0.004) Loss 2.2027 (2.6469) Prec@1 49.219 (42.850) Prec@5 73.438 (67.901) Epoch: [20][1010/10010] Time 0.347 (0.334) Data 0.000 (0.003) Loss 2.5731 (2.6467) Prec@1 45.312 (42.857) Prec@5 75.781 (67.914) Epoch: [20][1020/10010] Time 0.348 (0.334) Data 0.001 (0.003) Loss 2.5952 (2.6461) Prec@1 41.406 (42.861) Prec@5 70.312 (67.930) Epoch: [20][1030/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 2.4000 (2.6463) Prec@1 48.438 (42.854) Prec@5 71.875 (67.923) Epoch: [20][1040/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 2.7063 (2.6464) Prec@1 42.969 (42.862) Prec@5 69.531 (67.920) Epoch: [20][1050/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 2.7082 (2.6464) Prec@1 43.750 (42.855) Prec@5 67.188 (67.921) Epoch: [20][1060/10010] Time 0.329 (0.334) Data 0.001 (0.003) Loss 2.5725 (2.6462) Prec@1 48.438 (42.863) Prec@5 67.188 (67.922) Epoch: [20][1070/10010] Time 0.346 (0.334) Data 0.000 (0.003) Loss 2.8546 (2.6464) Prec@1 42.188 (42.837) Prec@5 63.281 (67.927) Epoch: [20][1080/10010] Time 0.342 (0.334) Data 0.001 (0.003) Loss 2.3445 (2.6464) Prec@1 46.875 (42.826) Prec@5 72.656 (67.930) Epoch: [20][1090/10010] Time 0.345 (0.334) Data 0.000 (0.003) Loss 2.9689 (2.6464) Prec@1 28.906 (42.818) Prec@5 64.062 (67.929) Epoch: [20][1100/10010] Time 0.340 (0.334) Data 0.001 (0.003) Loss 2.5495 (2.6459) Prec@1 37.500 (42.830) Prec@5 72.656 (67.939) Epoch: [20][1110/10010] Time 0.321 (0.334) Data 0.001 (0.003) Loss 2.8041 (2.6464) Prec@1 39.062 (42.828) Prec@5 64.844 (67.934) Epoch: [20][1120/10010] Time 0.328 (0.334) Data 0.000 (0.003) Loss 3.0244 (2.6463) Prec@1 34.375 (42.820) Prec@5 60.938 (67.943) Epoch: [20][1130/10010] Time 0.324 (0.334) Data 0.001 (0.003) Loss 2.9189 (2.6470) Prec@1 39.844 (42.817) Prec@5 64.844 (67.940) Epoch: [20][1140/10010] Time 0.321 (0.334) Data 0.001 (0.003) Loss 2.6316 (2.6474) Prec@1 42.188 (42.808) Prec@5 67.969 (67.932) Epoch: [20][1150/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.4289 (2.6475) Prec@1 41.406 (42.793) Prec@5 72.656 (67.932) Epoch: [20][1160/10010] Time 0.333 (0.334) Data 0.000 (0.003) Loss 2.9440 (2.6476) Prec@1 32.812 (42.774) Prec@5 61.719 (67.927) Epoch: [20][1170/10010] Time 0.317 (0.334) Data 0.001 (0.003) Loss 2.6621 (2.6479) Prec@1 45.312 (42.785) Prec@5 67.969 (67.929) Epoch: [20][1180/10010] Time 0.331 (0.334) Data 0.000 (0.003) Loss 2.4989 (2.6473) Prec@1 43.750 (42.800) Prec@5 68.750 (67.942) Epoch: [20][1190/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.6737 (2.6479) Prec@1 37.500 (42.794) Prec@5 73.438 (67.939) Epoch: [20][1200/10010] Time 0.334 (0.334) Data 0.001 (0.003) Loss 2.1863 (2.6481) Prec@1 49.219 (42.784) Prec@5 75.781 (67.945) Epoch: [20][1210/10010] Time 0.330 (0.334) Data 0.000 (0.003) Loss 2.7086 (2.6484) Prec@1 42.188 (42.769) Prec@5 69.531 (67.939) Epoch: [20][1220/10010] Time 0.345 (0.334) Data 0.001 (0.003) Loss 2.5980 (2.6485) Prec@1 39.844 (42.756) Prec@5 64.844 (67.931) Epoch: [20][1230/10010] Time 0.324 (0.334) Data 0.001 (0.003) Loss 2.6496 (2.6485) Prec@1 42.188 (42.765) Prec@5 66.406 (67.934) Epoch: [20][1240/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 2.4236 (2.6482) Prec@1 45.312 (42.772) Prec@5 71.094 (67.945) Epoch: [20][1250/10010] Time 0.336 (0.334) Data 0.001 (0.003) Loss 2.7497 (2.6480) Prec@1 39.844 (42.774) Prec@5 66.406 (67.949) Epoch: [20][1260/10010] Time 0.340 (0.334) Data 0.000 (0.003) Loss 3.1416 (2.6490) Prec@1 35.938 (42.756) Prec@5 61.719 (67.935) Epoch: [20][1270/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 2.7648 (2.6496) Prec@1 46.094 (42.755) Prec@5 66.406 (67.924) Epoch: [20][1280/10010] Time 0.334 (0.334) Data 0.001 (0.003) Loss 2.6437 (2.6496) Prec@1 40.625 (42.750) Prec@5 67.969 (67.925) Epoch: [20][1290/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.6540 (2.6488) Prec@1 44.531 (42.770) Prec@5 68.750 (67.940) Epoch: [20][1300/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 2.6613 (2.6485) Prec@1 42.188 (42.781) Prec@5 66.406 (67.942) Epoch: [20][1310/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 2.6579 (2.6481) Prec@1 41.406 (42.786) Prec@5 67.188 (67.948) Epoch: [20][1320/10010] Time 0.337 (0.334) Data 0.001 (0.003) Loss 2.2719 (2.6476) Prec@1 53.125 (42.793) Prec@5 74.219 (67.950) Epoch: [20][1330/10010] Time 0.330 (0.334) Data 0.001 (0.003) Loss 2.6447 (2.6476) Prec@1 46.094 (42.792) Prec@5 64.844 (67.952) Epoch: [20][1340/10010] Time 0.329 (0.334) Data 0.001 (0.003) Loss 2.8768 (2.6475) Prec@1 37.500 (42.794) Prec@5 65.625 (67.950) Epoch: [20][1350/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 2.4168 (2.6468) Prec@1 46.094 (42.803) Prec@5 73.438 (67.970) Epoch: [20][1360/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.5781 (2.6463) Prec@1 45.312 (42.818) Prec@5 70.312 (67.972) Epoch: [20][1370/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.4774 (2.6462) Prec@1 41.406 (42.825) Prec@5 67.188 (67.977) Epoch: [20][1380/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.5811 (2.6457) Prec@1 46.875 (42.831) Prec@5 70.312 (67.988) Epoch: [20][1390/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.3081 (2.6447) Prec@1 52.344 (42.846) Prec@5 74.219 (68.001) Epoch: [20][1400/10010] Time 0.350 (0.333) Data 0.001 (0.003) Loss 2.5209 (2.6447) Prec@1 42.969 (42.846) Prec@5 71.094 (67.996) Epoch: [20][1410/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 2.4357 (2.6450) Prec@1 45.312 (42.829) Prec@5 72.656 (67.986) Epoch: [20][1420/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.5075 (2.6442) Prec@1 42.969 (42.843) Prec@5 68.750 (67.996) Epoch: [20][1430/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.6618 (2.6439) Prec@1 45.312 (42.851) Prec@5 67.969 (68.003) Epoch: [20][1440/10010] Time 0.315 (0.333) Data 0.001 (0.003) Loss 3.1428 (2.6453) Prec@1 34.375 (42.835) Prec@5 64.062 (67.986) Epoch: [20][1450/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.7949 (2.6459) Prec@1 42.969 (42.823) Prec@5 64.062 (67.971) Epoch: [20][1460/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.4765 (2.6455) Prec@1 40.625 (42.829) Prec@5 71.875 (67.987) Epoch: [20][1470/10010] Time 0.316 (0.333) Data 0.001 (0.003) Loss 2.5957 (2.6454) Prec@1 35.938 (42.831) Prec@5 67.188 (67.981) Epoch: [20][1480/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.7839 (2.6460) Prec@1 40.625 (42.828) Prec@5 70.312 (67.968) Epoch: [20][1490/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.8780 (2.6463) Prec@1 35.938 (42.817) Prec@5 67.188 (67.961) Epoch: [20][1500/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 2.5996 (2.6461) Prec@1 38.281 (42.815) Prec@5 64.844 (67.954) Epoch: [20][1510/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.5655 (2.6460) Prec@1 43.750 (42.815) Prec@5 67.969 (67.951) Epoch: [20][1520/10010] Time 0.347 (0.333) Data 0.000 (0.003) Loss 2.8299 (2.6461) Prec@1 39.844 (42.818) Prec@5 62.500 (67.947) Epoch: [20][1530/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.8676 (2.6463) Prec@1 40.625 (42.817) Prec@5 62.500 (67.938) Epoch: [20][1540/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.3714 (2.6455) Prec@1 46.875 (42.830) Prec@5 68.750 (67.945) Epoch: [20][1550/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 2.5240 (2.6451) Prec@1 42.188 (42.832) Prec@5 67.969 (67.948) Epoch: [20][1560/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 2.7915 (2.6450) Prec@1 35.938 (42.828) Prec@5 66.406 (67.944) Epoch: [20][1570/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 2.7462 (2.6453) Prec@1 43.750 (42.824) Prec@5 68.750 (67.945) Epoch: [20][1580/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.1799 (2.6453) Prec@1 46.875 (42.816) Prec@5 82.812 (67.951) Epoch: [20][1590/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.6900 (2.6451) Prec@1 46.875 (42.817) Prec@5 66.406 (67.957) Epoch: [20][1600/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.6892 (2.6458) Prec@1 46.094 (42.810) Prec@5 64.844 (67.941) Epoch: [20][1610/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.8584 (2.6463) Prec@1 34.375 (42.798) Prec@5 62.500 (67.934) Epoch: [20][1620/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.7501 (2.6467) Prec@1 38.281 (42.788) Prec@5 67.188 (67.928) Epoch: [20][1630/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.4692 (2.6469) Prec@1 49.219 (42.782) Prec@5 71.094 (67.926) Epoch: [20][1640/10010] Time 0.313 (0.333) Data 0.001 (0.002) Loss 2.6980 (2.6473) Prec@1 48.438 (42.777) Prec@5 67.188 (67.914) Epoch: [20][1650/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.4576 (2.6468) Prec@1 48.438 (42.786) Prec@5 69.531 (67.920) Epoch: [20][1660/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.9655 (2.6474) Prec@1 37.500 (42.770) Prec@5 64.844 (67.910) Epoch: [20][1670/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.5917 (2.6473) Prec@1 46.875 (42.771) Prec@5 69.531 (67.913) Epoch: [20][1680/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 2.7343 (2.6469) Prec@1 42.188 (42.771) Prec@5 65.625 (67.923) Epoch: [20][1690/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.5145 (2.6468) Prec@1 45.312 (42.775) Prec@5 71.094 (67.935) Epoch: [20][1700/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 2.4595 (2.6474) Prec@1 47.656 (42.767) Prec@5 68.750 (67.923) Epoch: [20][1710/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.6055 (2.6481) Prec@1 46.094 (42.764) Prec@5 65.625 (67.905) Epoch: [20][1720/10010] Time 0.317 (0.333) Data 0.000 (0.002) Loss 2.4265 (2.6487) Prec@1 49.219 (42.748) Prec@5 72.656 (67.895) Epoch: [20][1730/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.6334 (2.6488) Prec@1 48.438 (42.748) Prec@5 67.188 (67.898) Epoch: [20][1740/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 2.7270 (2.6492) Prec@1 34.375 (42.738) Prec@5 68.750 (67.891) Epoch: [20][1750/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.6647 (2.6497) Prec@1 44.531 (42.730) Prec@5 72.656 (67.883) Epoch: [20][1760/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.7972 (2.6503) Prec@1 40.625 (42.710) Prec@5 65.625 (67.872) Epoch: [20][1770/10010] Time 0.346 (0.333) Data 0.001 (0.002) Loss 2.8258 (2.6504) Prec@1 37.500 (42.700) Prec@5 64.844 (67.869) Epoch: [20][1780/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.5911 (2.6507) Prec@1 47.656 (42.694) Prec@5 70.312 (67.865) Epoch: [20][1790/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.6234 (2.6508) Prec@1 41.406 (42.698) Prec@5 67.969 (67.863) Epoch: [20][1800/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.7274 (2.6508) Prec@1 40.625 (42.701) Prec@5 69.531 (67.872) Epoch: [20][1810/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.7125 (2.6507) Prec@1 42.969 (42.699) Prec@5 68.750 (67.873) Epoch: [20][1820/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.8526 (2.6502) Prec@1 38.281 (42.704) Prec@5 61.719 (67.879) Epoch: [20][1830/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.8365 (2.6505) Prec@1 42.188 (42.702) Prec@5 64.844 (67.874) Epoch: [20][1840/10010] Time 0.318 (0.333) Data 0.000 (0.002) Loss 3.1466 (2.6510) Prec@1 35.938 (42.696) Prec@5 64.844 (67.864) Epoch: [20][1850/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.7242 (2.6516) Prec@1 46.094 (42.688) Prec@5 64.062 (67.854) Epoch: [20][1860/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.8190 (2.6519) Prec@1 35.938 (42.680) Prec@5 63.281 (67.846) Epoch: [20][1870/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.7735 (2.6521) Prec@1 35.156 (42.677) Prec@5 63.281 (67.841) Epoch: [20][1880/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.4193 (2.6520) Prec@1 47.656 (42.683) Prec@5 71.094 (67.842) Epoch: [20][1890/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5766 (2.6523) Prec@1 35.938 (42.668) Prec@5 65.625 (67.840) Epoch: [20][1900/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.3678 (2.6531) Prec@1 44.531 (42.661) Prec@5 70.312 (67.828) Epoch: [20][1910/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.7202 (2.6533) Prec@1 41.406 (42.658) Prec@5 67.188 (67.820) Epoch: [20][1920/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.5265 (2.6535) Prec@1 39.844 (42.658) Prec@5 69.531 (67.822) Epoch: [20][1930/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.6926 (2.6544) Prec@1 42.188 (42.645) Prec@5 66.406 (67.807) Epoch: [20][1940/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.5842 (2.6545) Prec@1 43.750 (42.651) Prec@5 73.438 (67.808) Epoch: [20][1950/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.8244 (2.6543) Prec@1 39.844 (42.655) Prec@5 62.500 (67.801) Epoch: [20][1960/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.9777 (2.6541) Prec@1 40.625 (42.661) Prec@5 62.500 (67.803) Epoch: [20][1970/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.7228 (2.6540) Prec@1 42.188 (42.657) Prec@5 71.094 (67.803) Epoch: [20][1980/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.6202 (2.6547) Prec@1 43.750 (42.644) Prec@5 67.188 (67.788) Epoch: [20][1990/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.9334 (2.6550) Prec@1 37.500 (42.638) Prec@5 67.969 (67.784) Epoch: [20][2000/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.6743 (2.6554) Prec@1 43.750 (42.635) Prec@5 71.094 (67.774) Epoch: [20][2010/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.7258 (2.6553) Prec@1 42.969 (42.635) Prec@5 67.188 (67.777) Epoch: [20][2020/10010] Time 0.348 (0.333) Data 0.001 (0.002) Loss 2.4237 (2.6544) Prec@1 44.531 (42.646) Prec@5 70.312 (67.793) Epoch: [20][2030/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.8656 (2.6549) Prec@1 37.500 (42.638) Prec@5 62.500 (67.786) Epoch: [20][2040/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.7143 (2.6549) Prec@1 42.188 (42.636) Prec@5 65.625 (67.787) Epoch: [20][2050/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.5329 (2.6542) Prec@1 44.531 (42.652) Prec@5 71.875 (67.795) Epoch: [20][2060/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.5344 (2.6543) Prec@1 39.844 (42.656) Prec@5 72.656 (67.801) Epoch: [20][2070/10010] Time 0.349 (0.333) Data 0.000 (0.002) Loss 2.6643 (2.6547) Prec@1 41.406 (42.650) Prec@5 66.406 (67.786) Epoch: [20][2080/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.6630 (2.6548) Prec@1 46.875 (42.653) Prec@5 71.094 (67.787) Epoch: [20][2090/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.7507 (2.6548) Prec@1 39.062 (42.645) Prec@5 68.750 (67.786) Epoch: [20][2100/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.7702 (2.6553) Prec@1 39.062 (42.628) Prec@5 67.188 (67.785) Epoch: [20][2110/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.5854 (2.6550) Prec@1 46.094 (42.633) Prec@5 68.750 (67.789) Epoch: [20][2120/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.3462 (2.6548) Prec@1 48.438 (42.632) Prec@5 72.656 (67.796) Epoch: [20][2130/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.6374 (2.6545) Prec@1 42.188 (42.637) Prec@5 69.531 (67.803) Epoch: [20][2140/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.2787 (2.6543) Prec@1 48.438 (42.647) Prec@5 75.781 (67.804) Epoch: [20][2150/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5854 (2.6544) Prec@1 45.312 (42.648) Prec@5 67.969 (67.803) Epoch: [20][2160/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.8136 (2.6545) Prec@1 39.062 (42.651) Prec@5 63.281 (67.796) Epoch: [20][2170/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.9564 (2.6550) Prec@1 34.375 (42.636) Prec@5 60.156 (67.786) Epoch: [20][2180/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.8210 (2.6549) Prec@1 43.750 (42.644) Prec@5 64.062 (67.780) Epoch: [20][2190/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.4345 (2.6551) Prec@1 49.219 (42.641) Prec@5 67.969 (67.768) Epoch: [20][2200/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.9448 (2.6553) Prec@1 36.719 (42.641) Prec@5 69.531 (67.765) Epoch: [20][2210/10010] Time 0.315 (0.333) Data 0.001 (0.002) Loss 2.2885 (2.6549) Prec@1 45.312 (42.638) Prec@5 73.438 (67.768) Epoch: [20][2220/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.7363 (2.6551) Prec@1 42.969 (42.631) Prec@5 67.969 (67.762) Epoch: [20][2230/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.5695 (2.6550) Prec@1 35.938 (42.628) Prec@5 68.750 (67.759) Epoch: [20][2240/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.7286 (2.6551) Prec@1 40.625 (42.632) Prec@5 66.406 (67.760) Epoch: [20][2250/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.8500 (2.6550) Prec@1 41.406 (42.636) Prec@5 65.625 (67.765) Epoch: [20][2260/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.5565 (2.6544) Prec@1 46.094 (42.640) Prec@5 71.094 (67.776) Epoch: [20][2270/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.4297 (2.6541) Prec@1 49.219 (42.639) Prec@5 67.188 (67.784) Epoch: [20][2280/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.2626 (2.6540) Prec@1 45.312 (42.635) Prec@5 78.125 (67.786) Epoch: [20][2290/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.3505 (2.6535) Prec@1 50.781 (42.638) Prec@5 74.219 (67.796) Epoch: [20][2300/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.8766 (2.6534) Prec@1 36.719 (42.640) Prec@5 60.156 (67.791) Epoch: [20][2310/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.2945 (2.6534) Prec@1 53.125 (42.650) Prec@5 71.094 (67.793) Epoch: [20][2320/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.5369 (2.6531) Prec@1 46.094 (42.653) Prec@5 67.969 (67.795) Epoch: [20][2330/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.2272 (2.6531) Prec@1 50.781 (42.653) Prec@5 74.219 (67.793) Epoch: [20][2340/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 3.0691 (2.6532) Prec@1 38.281 (42.658) Prec@5 62.500 (67.789) Epoch: [20][2350/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 3.3095 (2.6535) Prec@1 35.938 (42.656) Prec@5 57.031 (67.786) Epoch: [20][2360/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 2.4278 (2.6532) Prec@1 49.219 (42.664) Prec@5 72.656 (67.794) Epoch: [20][2370/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.3722 (2.6533) Prec@1 53.906 (42.662) Prec@5 74.219 (67.790) Epoch: [20][2380/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.8900 (2.6536) Prec@1 42.969 (42.651) Prec@5 66.406 (67.784) Epoch: [20][2390/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.7539 (2.6534) Prec@1 34.375 (42.654) Prec@5 65.625 (67.788) Epoch: [20][2400/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.4761 (2.6535) Prec@1 43.750 (42.646) Prec@5 71.094 (67.792) Epoch: [20][2410/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 2.9816 (2.6537) Prec@1 39.844 (42.652) Prec@5 60.938 (67.785) Epoch: [20][2420/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.6119 (2.6538) Prec@1 44.531 (42.647) Prec@5 66.406 (67.783) Epoch: [20][2430/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.8635 (2.6541) Prec@1 38.281 (42.638) Prec@5 61.719 (67.783) Epoch: [20][2440/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.7335 (2.6543) Prec@1 39.844 (42.632) Prec@5 61.719 (67.779) Epoch: [20][2450/10010] Time 0.311 (0.333) Data 0.001 (0.002) Loss 2.2388 (2.6543) Prec@1 47.656 (42.632) Prec@5 73.438 (67.775) Epoch: [20][2460/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.6016 (2.6543) Prec@1 44.531 (42.632) Prec@5 70.312 (67.774) Epoch: [20][2470/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.7941 (2.6545) Prec@1 40.625 (42.637) Prec@5 64.062 (67.771) Epoch: [20][2480/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.7163 (2.6549) Prec@1 40.625 (42.628) Prec@5 70.312 (67.767) Epoch: [20][2490/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.7556 (2.6551) Prec@1 42.188 (42.617) Prec@5 64.844 (67.764) Epoch: [20][2500/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.8072 (2.6551) Prec@1 34.375 (42.619) Prec@5 66.406 (67.759) Epoch: [20][2510/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5437 (2.6554) Prec@1 44.531 (42.617) Prec@5 71.875 (67.757) Epoch: [20][2520/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.4847 (2.6552) Prec@1 46.875 (42.612) Prec@5 67.969 (67.752) Epoch: [20][2530/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.8594 (2.6552) Prec@1 40.625 (42.618) Prec@5 63.281 (67.759) Epoch: [20][2540/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 3.1066 (2.6553) Prec@1 38.281 (42.619) Prec@5 62.500 (67.758) Epoch: [20][2550/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.5301 (2.6550) Prec@1 42.969 (42.623) Prec@5 66.406 (67.763) Epoch: [20][2560/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.7568 (2.6552) Prec@1 39.062 (42.622) Prec@5 67.188 (67.761) Epoch: [20][2570/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.1370 (2.6556) Prec@1 32.812 (42.614) Prec@5 57.031 (67.757) Epoch: [20][2580/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7851 (2.6558) Prec@1 42.969 (42.608) Prec@5 71.094 (67.754) Epoch: [20][2590/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9475 (2.6557) Prec@1 35.938 (42.608) Prec@5 63.281 (67.758) Epoch: [20][2600/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8931 (2.6560) Prec@1 39.844 (42.604) Prec@5 63.281 (67.754) Epoch: [20][2610/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.7739 (2.6566) Prec@1 43.750 (42.603) Prec@5 62.500 (67.740) Epoch: [20][2620/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.2502 (2.6561) Prec@1 43.750 (42.607) Prec@5 75.000 (67.747) Epoch: [20][2630/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.2531 (2.6556) Prec@1 44.531 (42.613) Prec@5 75.781 (67.757) Epoch: [20][2640/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.6880 (2.6558) Prec@1 46.094 (42.613) Prec@5 65.625 (67.752) Epoch: [20][2650/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.4916 (2.6559) Prec@1 45.312 (42.619) Prec@5 71.875 (67.750) Epoch: [20][2660/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 2.7221 (2.6562) Prec@1 43.750 (42.614) Prec@5 70.312 (67.742) Epoch: [20][2670/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.6567 (2.6558) Prec@1 46.094 (42.622) Prec@5 71.094 (67.750) Epoch: [20][2680/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.9994 (2.6563) Prec@1 35.156 (42.609) Prec@5 60.938 (67.743) Epoch: [20][2690/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 3.0346 (2.6566) Prec@1 39.062 (42.607) Prec@5 63.281 (67.740) Epoch: [20][2700/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.5950 (2.6568) Prec@1 40.625 (42.604) Prec@5 68.750 (67.736) Epoch: [20][2710/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.8921 (2.6572) Prec@1 38.281 (42.593) Prec@5 64.844 (67.733) Epoch: [20][2720/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.6915 (2.6573) Prec@1 44.531 (42.592) Prec@5 67.969 (67.731) Epoch: [20][2730/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.4901 (2.6569) Prec@1 45.312 (42.595) Prec@5 70.312 (67.737) Epoch: [20][2740/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 2.9304 (2.6571) Prec@1 42.188 (42.596) Prec@5 63.281 (67.730) Epoch: [20][2750/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.8282 (2.6571) Prec@1 42.969 (42.595) Prec@5 67.969 (67.729) Epoch: [20][2760/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5244 (2.6571) Prec@1 46.094 (42.597) Prec@5 67.188 (67.731) Epoch: [20][2770/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.7320 (2.6574) Prec@1 38.281 (42.589) Prec@5 64.844 (67.724) Epoch: [20][2780/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.3421 (2.6578) Prec@1 47.656 (42.582) Prec@5 70.312 (67.717) Epoch: [20][2790/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.8939 (2.6581) Prec@1 35.938 (42.582) Prec@5 66.406 (67.714) Epoch: [20][2800/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.7013 (2.6580) Prec@1 46.094 (42.582) Prec@5 67.188 (67.715) Epoch: [20][2810/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.8474 (2.6580) Prec@1 40.625 (42.584) Prec@5 64.062 (67.713) Epoch: [20][2820/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.4489 (2.6579) Prec@1 46.094 (42.591) Prec@5 67.969 (67.714) Epoch: [20][2830/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 2.3845 (2.6576) Prec@1 49.219 (42.598) Prec@5 70.312 (67.714) Epoch: [20][2840/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.5467 (2.6577) Prec@1 46.094 (42.597) Prec@5 64.844 (67.714) Epoch: [20][2850/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 3.2032 (2.6578) Prec@1 35.938 (42.593) Prec@5 55.469 (67.715) Epoch: [20][2860/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.7144 (2.6575) Prec@1 39.062 (42.595) Prec@5 64.062 (67.719) Epoch: [20][2870/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.6605 (2.6575) Prec@1 39.844 (42.600) Prec@5 65.625 (67.721) Epoch: [20][2880/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.7681 (2.6577) Prec@1 35.156 (42.591) Prec@5 69.531 (67.720) Epoch: [20][2890/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.5205 (2.6577) Prec@1 46.094 (42.594) Prec@5 70.312 (67.724) Epoch: [20][2900/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.9022 (2.6580) Prec@1 36.719 (42.586) Prec@5 60.156 (67.721) Epoch: [20][2910/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.7034 (2.6580) Prec@1 42.188 (42.587) Prec@5 65.625 (67.720) Epoch: [20][2920/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.7873 (2.6581) Prec@1 41.406 (42.590) Prec@5 60.938 (67.718) Epoch: [20][2930/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.5403 (2.6581) Prec@1 46.094 (42.586) Prec@5 70.312 (67.716) Epoch: [20][2940/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 2.4274 (2.6583) Prec@1 51.562 (42.582) Prec@5 71.094 (67.713) Epoch: [20][2950/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.6402 (2.6583) Prec@1 44.531 (42.582) Prec@5 64.844 (67.713) Epoch: [20][2960/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.4680 (2.6579) Prec@1 40.625 (42.587) Prec@5 69.531 (67.717) Epoch: [20][2970/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.5976 (2.6580) Prec@1 39.062 (42.586) Prec@5 71.875 (67.716) Epoch: [20][2980/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.8826 (2.6584) Prec@1 47.656 (42.580) Prec@5 65.625 (67.715) Epoch: [20][2990/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.7271 (2.6587) Prec@1 35.938 (42.573) Prec@5 65.625 (67.710) Epoch: [20][3000/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.4706 (2.6589) Prec@1 46.875 (42.566) Prec@5 75.781 (67.707) Epoch: [20][3010/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.8410 (2.6590) Prec@1 41.406 (42.567) Prec@5 68.750 (67.707) Epoch: [20][3020/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.6209 (2.6592) Prec@1 42.188 (42.563) Prec@5 66.406 (67.705) Epoch: [20][3030/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.4639 (2.6593) Prec@1 44.531 (42.562) Prec@5 71.094 (67.706) Epoch: [20][3040/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.2771 (2.6592) Prec@1 47.656 (42.563) Prec@5 74.219 (67.701) Epoch: [20][3050/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.7542 (2.6595) Prec@1 36.719 (42.559) Prec@5 68.750 (67.698) Epoch: [20][3060/10010] Time 0.348 (0.333) Data 0.000 (0.002) Loss 2.9068 (2.6598) Prec@1 37.500 (42.560) Prec@5 63.281 (67.695) Epoch: [20][3070/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.7291 (2.6598) Prec@1 39.062 (42.561) Prec@5 66.406 (67.697) Epoch: [20][3080/10010] Time 0.347 (0.333) Data 0.001 (0.002) Loss 2.9832 (2.6592) Prec@1 36.719 (42.572) Prec@5 62.500 (67.705) Epoch: [20][3090/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.3278 (2.6590) Prec@1 48.438 (42.573) Prec@5 71.094 (67.701) Epoch: [20][3100/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 2.6749 (2.6592) Prec@1 44.531 (42.572) Prec@5 62.500 (67.695) Epoch: [20][3110/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.5783 (2.6594) Prec@1 40.625 (42.567) Prec@5 74.219 (67.693) Epoch: [20][3120/10010] Time 0.347 (0.333) Data 0.001 (0.002) Loss 2.7779 (2.6595) Prec@1 40.625 (42.567) Prec@5 65.625 (67.691) Epoch: [20][3130/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.8866 (2.6596) Prec@1 40.625 (42.559) Prec@5 64.844 (67.693) Epoch: [20][3140/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.6891 (2.6598) Prec@1 42.188 (42.558) Prec@5 64.844 (67.686) Epoch: [20][3150/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.7049 (2.6597) Prec@1 42.188 (42.555) Prec@5 68.750 (67.690) Epoch: [20][3160/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.7149 (2.6596) Prec@1 41.406 (42.552) Prec@5 68.750 (67.694) Epoch: [20][3170/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.4991 (2.6594) Prec@1 42.188 (42.554) Prec@5 72.656 (67.699) Epoch: [20][3180/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.9170 (2.6595) Prec@1 38.281 (42.544) Prec@5 67.188 (67.698) Epoch: [20][3190/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.4879 (2.6594) Prec@1 40.625 (42.549) Prec@5 69.531 (67.698) Epoch: [20][3200/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.5683 (2.6596) Prec@1 43.750 (42.542) Prec@5 70.312 (67.694) Epoch: [20][3210/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.5650 (2.6596) Prec@1 41.406 (42.539) Prec@5 67.969 (67.696) Epoch: [20][3220/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.7538 (2.6594) Prec@1 43.750 (42.545) Prec@5 65.625 (67.701) Epoch: [20][3230/10010] Time 0.347 (0.333) Data 0.001 (0.002) Loss 2.9619 (2.6595) Prec@1 39.844 (42.541) Prec@5 62.500 (67.699) Epoch: [20][3240/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.5924 (2.6594) Prec@1 50.000 (42.548) Prec@5 69.531 (67.698) Epoch: [20][3250/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.6551 (2.6591) Prec@1 39.062 (42.553) Prec@5 70.312 (67.702) Epoch: [20][3260/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.4807 (2.6590) Prec@1 40.625 (42.547) Prec@5 70.312 (67.703) Epoch: [20][3270/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.6238 (2.6588) Prec@1 37.500 (42.551) Prec@5 68.750 (67.702) Epoch: [20][3280/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.8320 (2.6589) Prec@1 35.938 (42.549) Prec@5 61.719 (67.701) Epoch: [20][3290/10010] Time 0.338 (0.333) Data 0.002 (0.002) Loss 2.5628 (2.6593) Prec@1 45.312 (42.543) Prec@5 67.188 (67.696) Epoch: [20][3300/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.8992 (2.6591) Prec@1 37.500 (42.551) Prec@5 67.969 (67.700) Epoch: [20][3310/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.8406 (2.6591) Prec@1 39.844 (42.553) Prec@5 61.719 (67.698) Epoch: [20][3320/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.7824 (2.6590) Prec@1 42.969 (42.554) Prec@5 67.188 (67.702) Epoch: [20][3330/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.6124 (2.6589) Prec@1 44.531 (42.555) Prec@5 71.094 (67.702) Epoch: [20][3340/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.6438 (2.6591) Prec@1 41.406 (42.556) Prec@5 69.531 (67.699) Epoch: [20][3350/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.5389 (2.6589) Prec@1 43.750 (42.561) Prec@5 68.750 (67.703) Epoch: [20][3360/10010] Time 0.321 (0.333) Data 0.001 (0.001) Loss 2.3994 (2.6587) Prec@1 42.188 (42.564) Prec@5 69.531 (67.707) Epoch: [20][3370/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.4058 (2.6585) Prec@1 45.312 (42.569) Prec@5 71.875 (67.710) Epoch: [20][3380/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6523 (2.6584) Prec@1 46.094 (42.573) Prec@5 64.062 (67.711) Epoch: [20][3390/10010] Time 0.336 (0.333) Data 0.000 (0.001) Loss 2.6583 (2.6585) Prec@1 45.312 (42.568) Prec@5 66.406 (67.712) Epoch: [20][3400/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.7660 (2.6584) Prec@1 43.750 (42.572) Prec@5 64.062 (67.711) Epoch: [20][3410/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.4765 (2.6586) Prec@1 47.656 (42.573) Prec@5 70.312 (67.709) Epoch: [20][3420/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.4487 (2.6589) Prec@1 48.438 (42.568) Prec@5 72.656 (67.706) Epoch: [20][3430/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.6481 (2.6588) Prec@1 41.406 (42.573) Prec@5 71.094 (67.707) Epoch: [20][3440/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.7389 (2.6591) Prec@1 43.750 (42.566) Prec@5 66.406 (67.699) Epoch: [20][3450/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 3.0731 (2.6595) Prec@1 38.281 (42.558) Prec@5 64.062 (67.691) Epoch: [20][3460/10010] Time 0.339 (0.333) Data 0.001 (0.001) Loss 2.4564 (2.6599) Prec@1 47.656 (42.552) Prec@5 67.969 (67.683) Epoch: [20][3470/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 2.6108 (2.6599) Prec@1 42.188 (42.552) Prec@5 71.094 (67.682) Epoch: [20][3480/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.4667 (2.6598) Prec@1 45.312 (42.554) Prec@5 66.406 (67.683) Epoch: [20][3490/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7157 (2.6598) Prec@1 42.969 (42.555) Prec@5 65.625 (67.685) Epoch: [20][3500/10010] Time 0.317 (0.333) Data 0.001 (0.001) Loss 2.6388 (2.6599) Prec@1 39.844 (42.552) Prec@5 65.625 (67.683) Epoch: [20][3510/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.6207 (2.6601) Prec@1 39.844 (42.547) Prec@5 70.312 (67.677) Epoch: [20][3520/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.4508 (2.6600) Prec@1 46.094 (42.547) Prec@5 73.438 (67.679) Epoch: [20][3530/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.8147 (2.6603) Prec@1 42.188 (42.544) Prec@5 64.844 (67.677) Epoch: [20][3540/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 2.7011 (2.6599) Prec@1 42.969 (42.552) Prec@5 67.188 (67.684) Epoch: [20][3550/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.6306 (2.6598) Prec@1 41.406 (42.555) Prec@5 71.875 (67.687) Epoch: [20][3560/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.6838 (2.6600) Prec@1 42.969 (42.549) Prec@5 72.656 (67.686) Epoch: [20][3570/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.2947 (2.6598) Prec@1 50.781 (42.549) Prec@5 75.781 (67.688) Epoch: [20][3580/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 3.0358 (2.6600) Prec@1 39.062 (42.544) Prec@5 64.062 (67.683) Epoch: [20][3590/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 2.4436 (2.6597) Prec@1 46.094 (42.548) Prec@5 72.656 (67.684) Epoch: [20][3600/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 2.6857 (2.6596) Prec@1 42.188 (42.552) Prec@5 67.188 (67.686) Epoch: [20][3610/10010] Time 0.322 (0.333) Data 0.001 (0.001) Loss 2.8756 (2.6597) Prec@1 37.500 (42.552) Prec@5 57.812 (67.684) Epoch: [20][3620/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.4694 (2.6598) Prec@1 48.438 (42.550) Prec@5 67.969 (67.684) Epoch: [20][3630/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.6297 (2.6597) Prec@1 39.844 (42.553) Prec@5 66.406 (67.688) Epoch: [20][3640/10010] Time 0.334 (0.333) Data 0.001 (0.001) Loss 2.8420 (2.6599) Prec@1 41.406 (42.552) Prec@5 68.750 (67.685) Epoch: [20][3650/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.4241 (2.6597) Prec@1 46.875 (42.554) Prec@5 71.094 (67.691) Epoch: [20][3660/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 2.8132 (2.6598) Prec@1 37.500 (42.550) Prec@5 65.625 (67.695) Epoch: [20][3670/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 2.9476 (2.6600) Prec@1 41.406 (42.549) Prec@5 60.938 (67.690) Epoch: [20][3680/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.9694 (2.6601) Prec@1 36.719 (42.545) Prec@5 62.500 (67.691) Epoch: [20][3690/10010] Time 0.320 (0.333) Data 0.001 (0.001) Loss 2.5621 (2.6600) Prec@1 45.312 (42.547) Prec@5 71.875 (67.693) Epoch: [20][3700/10010] Time 0.326 (0.333) Data 0.001 (0.001) Loss 2.7861 (2.6602) Prec@1 42.969 (42.544) Prec@5 71.094 (67.689) Epoch: [20][3710/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.6331 (2.6603) Prec@1 39.844 (42.542) Prec@5 71.094 (67.690) Epoch: [20][3720/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 2.8859 (2.6605) Prec@1 44.531 (42.545) Prec@5 64.062 (67.688) Epoch: [20][3730/10010] Time 0.346 (0.333) Data 0.000 (0.001) Loss 2.9257 (2.6606) Prec@1 30.469 (42.542) Prec@5 59.375 (67.688) Epoch: [20][3740/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 2.7756 (2.6607) Prec@1 35.938 (42.537) Prec@5 66.406 (67.686) Epoch: [20][3750/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.6521 (2.6608) Prec@1 44.531 (42.536) Prec@5 68.750 (67.687) Epoch: [20][3760/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 2.6725 (2.6611) Prec@1 41.406 (42.530) Prec@5 67.969 (67.685) Epoch: [20][3770/10010] Time 0.324 (0.333) Data 0.001 (0.001) Loss 2.7073 (2.6612) Prec@1 43.750 (42.526) Prec@5 63.281 (67.679) Epoch: [20][3780/10010] Time 0.334 (0.333) Data 0.000 (0.001) Loss 2.8809 (2.6614) Prec@1 39.062 (42.523) Prec@5 61.719 (67.677) Epoch: [20][3790/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 2.9699 (2.6616) Prec@1 36.719 (42.520) Prec@5 61.719 (67.672) Epoch: [20][3800/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.9450 (2.6619) Prec@1 40.625 (42.518) Prec@5 64.844 (67.672) Epoch: [20][3810/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 2.4929 (2.6620) Prec@1 42.969 (42.515) Prec@5 71.875 (67.675) Epoch: [20][3820/10010] Time 0.347 (0.333) Data 0.000 (0.001) Loss 2.5514 (2.6621) Prec@1 46.875 (42.514) Prec@5 67.969 (67.672) Epoch: [20][3830/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.6058 (2.6622) Prec@1 42.188 (42.513) Prec@5 65.625 (67.672) Epoch: [20][3840/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 2.8806 (2.6622) Prec@1 39.062 (42.512) Prec@5 65.625 (67.673) Epoch: [20][3850/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 2.8130 (2.6623) Prec@1 35.156 (42.512) Prec@5 60.156 (67.671) Epoch: [20][3860/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.6616 (2.6622) Prec@1 47.656 (42.515) Prec@5 67.188 (67.673) Epoch: [20][3870/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 2.6147 (2.6624) Prec@1 42.188 (42.512) Prec@5 68.750 (67.668) Epoch: [20][3880/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.5408 (2.6623) Prec@1 38.281 (42.511) Prec@5 69.531 (67.668) Epoch: [20][3890/10010] Time 0.333 (0.333) Data 0.001 (0.001) Loss 2.5932 (2.6624) Prec@1 47.656 (42.512) Prec@5 68.750 (67.667) Epoch: [20][3900/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.5379 (2.6624) Prec@1 50.781 (42.511) Prec@5 69.531 (67.665) Epoch: [20][3910/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 3.1116 (2.6626) Prec@1 35.938 (42.512) Prec@5 57.031 (67.663) Epoch: [20][3920/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 2.9447 (2.6626) Prec@1 39.844 (42.514) Prec@5 62.500 (67.662) Epoch: [20][3930/10010] Time 0.343 (0.333) Data 0.001 (0.001) Loss 2.6269 (2.6628) Prec@1 43.750 (42.511) Prec@5 64.844 (67.660) Epoch: [20][3940/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.8210 (2.6630) Prec@1 45.312 (42.503) Prec@5 63.281 (67.656) Epoch: [20][3950/10010] Time 0.349 (0.333) Data 0.001 (0.001) Loss 2.5646 (2.6630) Prec@1 42.188 (42.501) Prec@5 71.094 (67.655) Epoch: [20][3960/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 2.9510 (2.6631) Prec@1 41.406 (42.500) Prec@5 63.281 (67.654) Epoch: [20][3970/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 3.1099 (2.6632) Prec@1 33.594 (42.495) Prec@5 58.594 (67.651) Epoch: [20][3980/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 2.4201 (2.6630) Prec@1 49.219 (42.499) Prec@5 72.656 (67.653) Epoch: [20][3990/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7384 (2.6629) Prec@1 36.719 (42.499) Prec@5 70.312 (67.657) Epoch: [20][4000/10010] Time 0.344 (0.333) Data 0.001 (0.001) Loss 2.5317 (2.6628) Prec@1 43.750 (42.502) Prec@5 67.969 (67.660) Epoch: [20][4010/10010] Time 0.326 (0.333) Data 0.000 (0.001) Loss 2.7729 (2.6627) Prec@1 37.500 (42.503) Prec@5 66.406 (67.659) Epoch: [20][4020/10010] Time 0.342 (0.333) Data 0.001 (0.001) Loss 2.5158 (2.6624) Prec@1 46.094 (42.512) Prec@5 70.312 (67.661) Epoch: [20][4030/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 2.7127 (2.6625) Prec@1 45.312 (42.510) Prec@5 69.531 (67.660) Epoch: [20][4040/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.1050 (2.6626) Prec@1 58.594 (42.509) Prec@5 74.219 (67.657) Epoch: [20][4050/10010] Time 0.330 (0.333) Data 0.001 (0.001) Loss 2.6844 (2.6627) Prec@1 38.281 (42.506) Prec@5 69.531 (67.656) Epoch: [20][4060/10010] Time 0.325 (0.333) Data 0.000 (0.001) Loss 2.8233 (2.6627) Prec@1 39.062 (42.508) Prec@5 65.625 (67.658) Epoch: [20][4070/10010] Time 0.323 (0.333) Data 0.001 (0.001) Loss 2.4961 (2.6629) Prec@1 46.875 (42.504) Prec@5 68.750 (67.652) Epoch: [20][4080/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 2.7593 (2.6631) Prec@1 42.969 (42.503) Prec@5 64.844 (67.648) Epoch: [20][4090/10010] Time 0.331 (0.333) Data 0.001 (0.001) Loss 2.5334 (2.6632) Prec@1 45.312 (42.497) Prec@5 69.531 (67.647) Epoch: [20][4100/10010] Time 0.328 (0.333) Data 0.001 (0.001) Loss 3.0669 (2.6635) Prec@1 36.719 (42.489) Prec@5 60.156 (67.641) Epoch: [20][4110/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 2.6340 (2.6636) Prec@1 39.844 (42.489) Prec@5 64.844 (67.638) Epoch: [20][4120/10010] Time 0.320 (0.333) Data 0.000 (0.001) Loss 2.7652 (2.6634) Prec@1 42.969 (42.491) Prec@5 64.062 (67.640) Epoch: [20][4130/10010] Time 0.329 (0.333) Data 0.001 (0.001) Loss 2.3322 (2.6635) Prec@1 50.781 (42.488) Prec@5 71.094 (67.638) Epoch: [20][4140/10010] Time 0.314 (0.333) Data 0.001 (0.001) Loss 2.6110 (2.6635) Prec@1 47.656 (42.490) Prec@5 67.188 (67.637) Epoch: [20][4150/10010] Time 0.317 (0.333) Data 0.000 (0.001) Loss 2.8954 (2.6634) Prec@1 39.844 (42.492) Prec@5 65.625 (67.638) Epoch: [20][4160/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.5449 (2.6635) Prec@1 45.312 (42.491) Prec@5 69.531 (67.641) Epoch: [20][4170/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9253 (2.6637) Prec@1 36.719 (42.483) Prec@5 63.281 (67.638) Epoch: [20][4180/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7107 (2.6638) Prec@1 42.188 (42.480) Prec@5 67.969 (67.637) Epoch: [20][4190/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9652 (2.6639) Prec@1 37.500 (42.478) Prec@5 61.719 (67.638) Epoch: [20][4200/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4789 (2.6641) Prec@1 43.750 (42.473) Prec@5 76.562 (67.639) Epoch: [20][4210/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9230 (2.6643) Prec@1 37.500 (42.470) Prec@5 60.156 (67.634) Epoch: [20][4220/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6768 (2.6643) Prec@1 45.312 (42.468) Prec@5 64.844 (67.633) Epoch: [20][4230/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6536 (2.6644) Prec@1 39.062 (42.464) Prec@5 66.406 (67.630) Epoch: [20][4240/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6280 (2.6643) Prec@1 42.969 (42.467) Prec@5 65.625 (67.631) Epoch: [20][4250/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6680 (2.6642) Prec@1 38.281 (42.467) Prec@5 64.062 (67.634) Epoch: [20][4260/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8428 (2.6642) Prec@1 39.062 (42.467) Prec@5 64.062 (67.632) Epoch: [20][4270/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7281 (2.6641) Prec@1 39.844 (42.470) Prec@5 72.656 (67.631) Epoch: [20][4280/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5286 (2.6639) Prec@1 41.406 (42.475) Prec@5 74.219 (67.636) Epoch: [20][4290/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6479 (2.6642) Prec@1 48.438 (42.472) Prec@5 72.656 (67.631) Epoch: [20][4300/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8075 (2.6641) Prec@1 39.844 (42.473) Prec@5 67.969 (67.630) Epoch: [20][4310/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5229 (2.6642) Prec@1 49.219 (42.472) Prec@5 67.969 (67.628) Epoch: [20][4320/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.0354 (2.6645) Prec@1 38.281 (42.473) Prec@5 64.844 (67.626) Epoch: [20][4330/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6391 (2.6643) Prec@1 40.625 (42.471) Prec@5 68.750 (67.626) Epoch: [20][4340/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.9203 (2.6643) Prec@1 39.062 (42.470) Prec@5 64.844 (67.626) Epoch: [20][4350/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7179 (2.6645) Prec@1 39.844 (42.468) Prec@5 63.281 (67.623) Epoch: [20][4360/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.1996 (2.6645) Prec@1 40.625 (42.470) Prec@5 57.812 (67.626) Epoch: [20][4370/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.4979 (2.6646) Prec@1 50.000 (42.472) Prec@5 69.531 (67.627) Epoch: [20][4380/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7290 (2.6647) Prec@1 46.875 (42.467) Prec@5 66.406 (67.624) Epoch: [20][4390/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4676 (2.6649) Prec@1 46.094 (42.469) Prec@5 68.750 (67.619) /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: [20][4400/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.4833 (2.6651) Prec@1 49.219 (42.466) Prec@5 71.094 (67.617) Epoch: [20][4410/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6115 (2.6651) Prec@1 42.969 (42.467) Prec@5 71.875 (67.619) Epoch: [20][4420/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0733 (2.6651) Prec@1 34.375 (42.467) Prec@5 59.375 (67.622) Epoch: [20][4430/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6624 (2.6651) Prec@1 42.969 (42.467) Prec@5 64.062 (67.618) Epoch: [20][4440/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8624 (2.6652) Prec@1 43.750 (42.465) Prec@5 64.062 (67.618) Epoch: [20][4450/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4411 (2.6649) Prec@1 39.062 (42.469) Prec@5 68.750 (67.618) Epoch: [20][4460/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7125 (2.6649) Prec@1 43.750 (42.472) Prec@5 65.625 (67.621) Epoch: [20][4470/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4235 (2.6649) Prec@1 46.094 (42.472) Prec@5 70.312 (67.621) Epoch: [20][4480/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7274 (2.6650) Prec@1 39.844 (42.471) Prec@5 65.625 (67.619) Epoch: [20][4490/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.2977 (2.6648) Prec@1 46.094 (42.472) Prec@5 71.094 (67.623) Epoch: [20][4500/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.3760 (2.6648) Prec@1 42.188 (42.474) Prec@5 71.875 (67.624) Epoch: [20][4510/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6285 (2.6647) Prec@1 43.750 (42.478) Prec@5 71.094 (67.624) Epoch: [20][4520/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.5415 (2.6647) Prec@1 44.531 (42.478) Prec@5 71.875 (67.624) Epoch: [20][4530/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4385 (2.6648) Prec@1 49.219 (42.478) Prec@5 73.438 (67.619) Epoch: [20][4540/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6715 (2.6646) Prec@1 47.656 (42.481) Prec@5 64.844 (67.621) Epoch: [20][4550/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8665 (2.6645) Prec@1 35.156 (42.484) Prec@5 66.406 (67.620) Epoch: [20][4560/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5860 (2.6645) Prec@1 41.406 (42.482) Prec@5 69.531 (67.619) Epoch: [20][4570/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5068 (2.6644) Prec@1 45.312 (42.487) Prec@5 70.312 (67.620) Epoch: [20][4580/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4721 (2.6643) Prec@1 43.750 (42.492) Prec@5 68.750 (67.621) Epoch: [20][4590/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5354 (2.6641) Prec@1 44.531 (42.494) Prec@5 71.875 (67.629) Epoch: [20][4600/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6179 (2.6641) Prec@1 46.094 (42.496) Prec@5 67.969 (67.626) Epoch: [20][4610/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 3.0023 (2.6644) Prec@1 39.062 (42.488) Prec@5 61.719 (67.621) Epoch: [20][4620/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.8714 (2.6644) Prec@1 44.531 (42.492) Prec@5 60.156 (67.618) Epoch: [20][4630/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4876 (2.6644) Prec@1 39.062 (42.491) Prec@5 68.750 (67.617) Epoch: [20][4640/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.0130 (2.6645) Prec@1 39.844 (42.489) Prec@5 57.812 (67.612) Epoch: [20][4650/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4951 (2.6642) Prec@1 48.438 (42.495) Prec@5 67.969 (67.618) Epoch: [20][4660/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 2.3356 (2.6643) Prec@1 45.312 (42.491) Prec@5 71.875 (67.616) Epoch: [20][4670/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6110 (2.6644) Prec@1 45.312 (42.488) Prec@5 64.844 (67.615) Epoch: [20][4680/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5623 (2.6643) Prec@1 42.188 (42.491) Prec@5 68.750 (67.616) Epoch: [20][4690/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8318 (2.6644) Prec@1 42.969 (42.488) Prec@5 65.625 (67.615) Epoch: [20][4700/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7033 (2.6643) Prec@1 42.969 (42.490) Prec@5 66.406 (67.616) Epoch: [20][4710/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.9067 (2.6646) Prec@1 39.062 (42.484) Prec@5 62.500 (67.611) Epoch: [20][4720/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0669 (2.6648) Prec@1 36.719 (42.482) Prec@5 59.375 (67.607) Epoch: [20][4730/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7257 (2.6648) Prec@1 43.750 (42.481) Prec@5 64.844 (67.608) Epoch: [20][4740/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6992 (2.6650) Prec@1 38.281 (42.478) Prec@5 66.406 (67.604) Epoch: [20][4750/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6706 (2.6651) Prec@1 42.969 (42.473) Prec@5 65.625 (67.602) Epoch: [20][4760/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.9630 (2.6652) Prec@1 36.719 (42.471) Prec@5 63.281 (67.601) Epoch: [20][4770/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 3.1070 (2.6653) Prec@1 36.719 (42.471) Prec@5 60.156 (67.600) Epoch: [20][4780/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4992 (2.6653) Prec@1 46.875 (42.470) Prec@5 73.438 (67.601) Epoch: [20][4790/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7757 (2.6655) Prec@1 40.625 (42.468) Prec@5 64.844 (67.597) Epoch: [20][4800/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8213 (2.6653) Prec@1 49.219 (42.472) Prec@5 64.844 (67.603) Epoch: [20][4810/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9257 (2.6653) Prec@1 39.844 (42.473) Prec@5 61.719 (67.603) Epoch: [20][4820/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5865 (2.6652) Prec@1 43.750 (42.478) Prec@5 66.406 (67.606) Epoch: [20][4830/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7786 (2.6652) Prec@1 42.969 (42.484) Prec@5 67.188 (67.609) Epoch: [20][4840/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5528 (2.6651) Prec@1 43.750 (42.484) Prec@5 69.531 (67.610) Epoch: [20][4850/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7224 (2.6653) Prec@1 42.969 (42.484) Prec@5 66.406 (67.606) Epoch: [20][4860/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7012 (2.6655) Prec@1 42.969 (42.481) Prec@5 65.625 (67.601) Epoch: [20][4870/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4908 (2.6654) Prec@1 47.656 (42.487) Prec@5 67.969 (67.604) Epoch: [20][4880/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6626 (2.6653) Prec@1 37.500 (42.490) Prec@5 67.188 (67.605) Epoch: [20][4890/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4180 (2.6653) Prec@1 46.094 (42.491) Prec@5 72.656 (67.607) Epoch: [20][4900/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.4456 (2.6653) Prec@1 49.219 (42.496) Prec@5 73.438 (67.609) Epoch: [20][4910/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7485 (2.6652) Prec@1 42.188 (42.499) Prec@5 67.969 (67.610) Epoch: [20][4920/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.9706 (2.6653) Prec@1 32.812 (42.497) Prec@5 63.281 (67.610) Epoch: [20][4930/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9967 (2.6653) Prec@1 35.938 (42.499) Prec@5 61.719 (67.610) Epoch: [20][4940/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.4371 (2.6655) Prec@1 35.156 (42.497) Prec@5 74.219 (67.607) Epoch: [20][4950/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5936 (2.6655) Prec@1 43.750 (42.498) Prec@5 69.531 (67.606) Epoch: [20][4960/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.8960 (2.6656) Prec@1 40.625 (42.498) Prec@5 61.719 (67.603) Epoch: [20][4970/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4060 (2.6656) Prec@1 48.438 (42.498) Prec@5 71.875 (67.603) Epoch: [20][4980/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.3864 (2.6655) Prec@1 48.438 (42.499) Prec@5 75.000 (67.606) Epoch: [20][4990/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4377 (2.6655) Prec@1 44.531 (42.499) Prec@5 75.000 (67.607) Epoch: [20][5000/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7394 (2.6656) Prec@1 43.750 (42.498) Prec@5 61.719 (67.604) Epoch: [20][5010/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8667 (2.6657) Prec@1 36.719 (42.498) Prec@5 67.188 (67.601) Epoch: [20][5020/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8117 (2.6658) Prec@1 37.500 (42.497) Prec@5 64.062 (67.598) Epoch: [20][5030/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6646 (2.6657) Prec@1 43.750 (42.499) Prec@5 64.844 (67.602) Epoch: [20][5040/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.4219 (2.6658) Prec@1 51.562 (42.501) Prec@5 69.531 (67.603) Epoch: [20][5050/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6655 (2.6656) Prec@1 41.406 (42.500) Prec@5 65.625 (67.604) Epoch: [20][5060/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7538 (2.6656) Prec@1 39.062 (42.501) Prec@5 62.500 (67.600) Epoch: [20][5070/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4018 (2.6653) Prec@1 43.750 (42.505) Prec@5 73.438 (67.604) Epoch: [20][5080/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.3563 (2.6653) Prec@1 45.312 (42.504) Prec@5 74.219 (67.605) Epoch: [20][5090/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6554 (2.6654) Prec@1 41.406 (42.499) Prec@5 64.844 (67.601) Epoch: [20][5100/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9708 (2.6655) Prec@1 29.688 (42.494) Prec@5 61.719 (67.599) Epoch: [20][5110/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6867 (2.6655) Prec@1 39.062 (42.493) Prec@5 67.188 (67.599) Epoch: [20][5120/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8375 (2.6655) Prec@1 35.938 (42.492) Prec@5 68.750 (67.603) Epoch: [20][5130/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7178 (2.6652) Prec@1 42.188 (42.496) Prec@5 65.625 (67.608) Epoch: [20][5140/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5637 (2.6652) Prec@1 43.750 (42.492) Prec@5 69.531 (67.607) Epoch: [20][5150/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5291 (2.6653) Prec@1 46.875 (42.493) Prec@5 71.094 (67.608) Epoch: [20][5160/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4220 (2.6652) Prec@1 49.219 (42.495) Prec@5 72.656 (67.611) Epoch: [20][5170/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6127 (2.6651) Prec@1 42.188 (42.497) Prec@5 65.625 (67.611) Epoch: [20][5180/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6318 (2.6648) Prec@1 42.188 (42.499) Prec@5 68.750 (67.618) Epoch: [20][5190/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8928 (2.6648) Prec@1 39.062 (42.500) Prec@5 63.281 (67.617) Epoch: [20][5200/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4246 (2.6648) Prec@1 47.656 (42.496) Prec@5 70.312 (67.619) Epoch: [20][5210/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.9334 (2.6649) Prec@1 36.719 (42.495) Prec@5 60.938 (67.614) Epoch: [20][5220/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7920 (2.6652) Prec@1 39.844 (42.490) Prec@5 68.750 (67.612) Epoch: [20][5230/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7795 (2.6652) Prec@1 41.406 (42.491) Prec@5 64.844 (67.612) Epoch: [20][5240/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8576 (2.6652) Prec@1 40.625 (42.488) Prec@5 67.969 (67.615) Epoch: [20][5250/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.3822 (2.6650) Prec@1 49.219 (42.493) Prec@5 73.438 (67.618) Epoch: [20][5260/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6486 (2.6650) Prec@1 43.750 (42.492) Prec@5 68.750 (67.618) Epoch: [20][5270/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9923 (2.6650) Prec@1 36.719 (42.492) Prec@5 61.719 (67.616) Epoch: [20][5280/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.2096 (2.6650) Prec@1 51.562 (42.493) Prec@5 77.344 (67.616) Epoch: [20][5290/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.3720 (2.6651) Prec@1 50.000 (42.489) Prec@5 66.406 (67.613) Epoch: [20][5300/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9392 (2.6654) Prec@1 32.031 (42.488) Prec@5 60.156 (67.609) Epoch: [20][5310/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5740 (2.6655) Prec@1 47.656 (42.487) Prec@5 67.969 (67.606) Epoch: [20][5320/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7657 (2.6655) Prec@1 39.844 (42.486) Prec@5 70.312 (67.604) Epoch: [20][5330/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.5249 (2.6653) Prec@1 50.781 (42.487) Prec@5 66.406 (67.608) Epoch: [20][5340/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4635 (2.6653) Prec@1 46.875 (42.489) Prec@5 71.875 (67.608) Epoch: [20][5350/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5872 (2.6654) Prec@1 40.625 (42.486) Prec@5 70.312 (67.604) Epoch: [20][5360/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9620 (2.6654) Prec@1 34.375 (42.486) Prec@5 62.500 (67.604) Epoch: [20][5370/10010] Time 0.320 (0.332) Data 0.002 (0.001) Loss 3.0516 (2.6655) Prec@1 37.500 (42.486) Prec@5 64.062 (67.604) Epoch: [20][5380/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0802 (2.6656) Prec@1 38.281 (42.488) Prec@5 61.719 (67.603) Epoch: [20][5390/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5157 (2.6654) Prec@1 38.281 (42.492) Prec@5 67.188 (67.603) Epoch: [20][5400/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8775 (2.6655) Prec@1 38.281 (42.496) Prec@5 67.969 (67.602) Epoch: [20][5410/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7349 (2.6654) Prec@1 42.188 (42.497) Prec@5 67.188 (67.603) Epoch: [20][5420/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7234 (2.6656) Prec@1 39.062 (42.495) Prec@5 66.406 (67.603) Epoch: [20][5430/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6734 (2.6656) Prec@1 39.062 (42.497) Prec@5 72.656 (67.605) Epoch: [20][5440/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5662 (2.6656) Prec@1 39.062 (42.496) Prec@5 69.531 (67.605) Epoch: [20][5450/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5665 (2.6656) Prec@1 41.406 (42.497) Prec@5 67.188 (67.604) Epoch: [20][5460/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8165 (2.6656) Prec@1 39.062 (42.496) Prec@5 62.500 (67.603) Epoch: [20][5470/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6443 (2.6655) Prec@1 41.406 (42.496) Prec@5 64.844 (67.603) Epoch: [20][5480/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.1956 (2.6654) Prec@1 49.219 (42.499) Prec@5 76.562 (67.607) Epoch: [20][5490/10010] Time 0.318 (0.332) Data 0.008 (0.001) Loss 2.7600 (2.6654) Prec@1 46.094 (42.499) Prec@5 69.531 (67.608) Epoch: [20][5500/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6367 (2.6653) Prec@1 42.969 (42.504) Prec@5 67.969 (67.608) Epoch: [20][5510/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9163 (2.6653) Prec@1 43.750 (42.504) Prec@5 64.062 (67.610) Epoch: [20][5520/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6910 (2.6653) Prec@1 44.531 (42.506) Prec@5 67.969 (67.610) Epoch: [20][5530/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4861 (2.6654) Prec@1 43.750 (42.504) Prec@5 71.875 (67.608) Epoch: [20][5540/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.2877 (2.6652) Prec@1 46.875 (42.509) Prec@5 72.656 (67.612) Epoch: [20][5550/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8890 (2.6653) Prec@1 42.969 (42.507) Prec@5 62.500 (67.612) Epoch: [20][5560/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8632 (2.6654) Prec@1 37.500 (42.501) Prec@5 67.188 (67.611) Epoch: [20][5570/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6394 (2.6655) Prec@1 46.094 (42.500) Prec@5 70.312 (67.609) Epoch: [20][5580/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7434 (2.6657) Prec@1 40.625 (42.495) Prec@5 64.844 (67.606) Epoch: [20][5590/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8918 (2.6658) Prec@1 37.500 (42.493) Prec@5 60.156 (67.604) Epoch: [20][5600/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9322 (2.6662) Prec@1 40.625 (42.488) Prec@5 64.062 (67.599) Epoch: [20][5610/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.7690 (2.6662) Prec@1 33.594 (42.488) Prec@5 64.844 (67.600) Epoch: [20][5620/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.9108 (2.6664) Prec@1 35.938 (42.484) Prec@5 63.281 (67.597) Epoch: [20][5630/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7707 (2.6665) Prec@1 40.625 (42.485) Prec@5 57.812 (67.594) Epoch: [20][5640/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.5701 (2.6666) Prec@1 46.875 (42.481) Prec@5 65.625 (67.593) Epoch: [20][5650/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6630 (2.6668) Prec@1 45.312 (42.479) Prec@5 67.969 (67.588) Epoch: [20][5660/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5489 (2.6668) Prec@1 38.281 (42.481) Prec@5 74.219 (67.587) Epoch: [20][5670/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6647 (2.6668) Prec@1 42.188 (42.481) Prec@5 68.750 (67.588) Epoch: [20][5680/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9935 (2.6669) Prec@1 37.500 (42.478) Prec@5 59.375 (67.586) Epoch: [20][5690/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4680 (2.6668) Prec@1 46.094 (42.483) Prec@5 73.438 (67.589) Epoch: [20][5700/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7830 (2.6669) Prec@1 42.969 (42.479) Prec@5 64.062 (67.587) Epoch: [20][5710/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5803 (2.6671) Prec@1 42.188 (42.476) Prec@5 70.312 (67.587) Epoch: [20][5720/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6049 (2.6670) Prec@1 42.969 (42.479) Prec@5 67.188 (67.589) Epoch: [20][5730/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.1684 (2.6670) Prec@1 32.812 (42.480) Prec@5 59.375 (67.587) Epoch: [20][5740/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8782 (2.6670) Prec@1 40.625 (42.480) Prec@5 62.500 (67.584) Epoch: [20][5750/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5618 (2.6670) Prec@1 49.219 (42.482) Prec@5 63.281 (67.586) Epoch: [20][5760/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7944 (2.6669) Prec@1 42.188 (42.483) Prec@5 67.969 (67.589) Epoch: [20][5770/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5383 (2.6669) Prec@1 39.844 (42.483) Prec@5 63.281 (67.587) Epoch: [20][5780/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8410 (2.6669) Prec@1 40.625 (42.484) Prec@5 63.281 (67.587) Epoch: [20][5790/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7739 (2.6672) Prec@1 38.281 (42.479) Prec@5 65.625 (67.584) Epoch: [20][5800/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7701 (2.6674) Prec@1 40.625 (42.474) Prec@5 69.531 (67.580) Epoch: [20][5810/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7111 (2.6676) Prec@1 46.875 (42.471) Prec@5 69.531 (67.574) Epoch: [20][5820/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.3519 (2.6676) Prec@1 53.125 (42.471) Prec@5 72.656 (67.572) Epoch: [20][5830/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6939 (2.6677) Prec@1 40.625 (42.471) Prec@5 67.188 (67.570) Epoch: [20][5840/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7167 (2.6679) Prec@1 43.750 (42.470) Prec@5 67.188 (67.568) Epoch: [20][5850/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9832 (2.6680) Prec@1 32.031 (42.467) Prec@5 60.938 (67.567) Epoch: [20][5860/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4492 (2.6680) Prec@1 50.000 (42.467) Prec@5 69.531 (67.568) Epoch: [20][5870/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6770 (2.6680) Prec@1 42.969 (42.468) Prec@5 69.531 (67.566) Epoch: [20][5880/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6167 (2.6681) Prec@1 42.969 (42.466) Prec@5 69.531 (67.566) Epoch: [20][5890/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6508 (2.6681) Prec@1 41.406 (42.465) Prec@5 68.750 (67.568) Epoch: [20][5900/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9190 (2.6682) Prec@1 39.062 (42.463) Prec@5 61.719 (67.566) Epoch: [20][5910/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6283 (2.6683) Prec@1 41.406 (42.460) Prec@5 61.719 (67.562) Epoch: [20][5920/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7683 (2.6683) Prec@1 38.281 (42.459) Prec@5 67.969 (67.562) Epoch: [20][5930/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6759 (2.6682) Prec@1 38.281 (42.461) Prec@5 65.625 (67.563) Epoch: [20][5940/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7721 (2.6683) Prec@1 38.281 (42.460) Prec@5 64.844 (67.562) Epoch: [20][5950/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.6262 (2.6683) Prec@1 45.312 (42.461) Prec@5 70.312 (67.563) Epoch: [20][5960/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4566 (2.6682) Prec@1 44.531 (42.460) Prec@5 69.531 (67.565) Epoch: [20][5970/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7129 (2.6683) Prec@1 41.406 (42.457) Prec@5 68.750 (67.565) Epoch: [20][5980/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.7160 (2.6681) Prec@1 38.281 (42.459) Prec@5 69.531 (67.568) Epoch: [20][5990/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.3903 (2.6681) Prec@1 44.531 (42.459) Prec@5 74.219 (67.568) Epoch: [20][6000/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5814 (2.6682) Prec@1 42.969 (42.457) Prec@5 70.312 (67.568) Epoch: [20][6010/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5340 (2.6680) Prec@1 41.406 (42.455) Prec@5 71.875 (67.570) Epoch: [20][6020/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8348 (2.6680) Prec@1 38.281 (42.456) Prec@5 64.062 (67.571) Epoch: [20][6030/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.2848 (2.6679) Prec@1 50.000 (42.459) Prec@5 78.125 (67.573) Epoch: [20][6040/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4093 (2.6679) Prec@1 48.438 (42.460) Prec@5 69.531 (67.576) Epoch: [20][6050/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5537 (2.6679) Prec@1 46.875 (42.457) Prec@5 71.875 (67.577) Epoch: [20][6060/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5411 (2.6680) Prec@1 42.188 (42.457) Prec@5 71.094 (67.575) Epoch: [20][6070/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6652 (2.6680) Prec@1 44.531 (42.460) Prec@5 65.625 (67.574) Epoch: [20][6080/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6275 (2.6680) Prec@1 42.188 (42.460) Prec@5 66.406 (67.573) Epoch: [20][6090/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7516 (2.6679) Prec@1 38.281 (42.464) Prec@5 67.969 (67.572) Epoch: [20][6100/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4330 (2.6679) Prec@1 46.094 (42.466) Prec@5 71.094 (67.573) Epoch: [20][6110/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5685 (2.6679) Prec@1 46.094 (42.464) Prec@5 70.312 (67.570) Epoch: [20][6120/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.9099 (2.6681) Prec@1 40.625 (42.460) Prec@5 61.719 (67.569) Epoch: [20][6130/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4527 (2.6681) Prec@1 42.188 (42.459) Prec@5 73.438 (67.568) Epoch: [20][6140/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6369 (2.6680) Prec@1 42.188 (42.460) Prec@5 67.969 (67.570) Epoch: [20][6150/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.2439 (2.6680) Prec@1 52.344 (42.463) Prec@5 76.562 (67.570) Epoch: [20][6160/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.1386 (2.6679) Prec@1 50.781 (42.463) Prec@5 75.000 (67.571) Epoch: [20][6170/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.3312 (2.6678) Prec@1 47.656 (42.463) Prec@5 76.562 (67.574) Epoch: [20][6180/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6488 (2.6679) Prec@1 42.969 (42.460) Prec@5 65.625 (67.570) Epoch: [20][6190/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7779 (2.6679) Prec@1 38.281 (42.460) Prec@5 61.719 (67.571) Epoch: [20][6200/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6775 (2.6679) Prec@1 44.531 (42.461) Prec@5 66.406 (67.570) Epoch: [20][6210/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5594 (2.6679) Prec@1 43.750 (42.462) Prec@5 67.188 (67.567) Epoch: [20][6220/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.4956 (2.6680) Prec@1 44.531 (42.461) Prec@5 72.656 (67.567) Epoch: [20][6230/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8491 (2.6681) Prec@1 38.281 (42.457) Prec@5 60.938 (67.562) Epoch: [20][6240/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5801 (2.6682) Prec@1 43.750 (42.456) Prec@5 67.969 (67.560) Epoch: [20][6250/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6453 (2.6683) Prec@1 42.188 (42.456) Prec@5 64.844 (67.558) Epoch: [20][6260/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5405 (2.6683) Prec@1 39.062 (42.453) Prec@5 75.781 (67.561) Epoch: [20][6270/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.3389 (2.6681) Prec@1 46.875 (42.457) Prec@5 74.219 (67.562) Epoch: [20][6280/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5772 (2.6682) Prec@1 47.656 (42.457) Prec@5 74.219 (67.559) Epoch: [20][6290/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9750 (2.6684) Prec@1 37.500 (42.451) Prec@5 59.375 (67.554) Epoch: [20][6300/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5039 (2.6683) Prec@1 42.969 (42.452) Prec@5 71.094 (67.557) Epoch: [20][6310/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5186 (2.6683) Prec@1 52.344 (42.453) Prec@5 70.312 (67.556) Epoch: [20][6320/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5903 (2.6684) Prec@1 40.625 (42.452) Prec@5 70.312 (67.556) Epoch: [20][6330/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.9696 (2.6686) Prec@1 39.844 (42.450) Prec@5 64.062 (67.551) Epoch: [20][6340/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.7109 (2.6686) Prec@1 39.844 (42.449) Prec@5 64.062 (67.550) Epoch: [20][6350/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7250 (2.6685) Prec@1 42.969 (42.451) Prec@5 66.406 (67.550) Epoch: [20][6360/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5101 (2.6686) Prec@1 44.531 (42.454) Prec@5 71.875 (67.550) Epoch: [20][6370/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6598 (2.6686) Prec@1 38.281 (42.455) Prec@5 70.312 (67.553) Epoch: [20][6380/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.4504 (2.6686) Prec@1 48.438 (42.453) Prec@5 71.094 (67.549) Epoch: [20][6390/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6110 (2.6685) Prec@1 44.531 (42.453) Prec@5 67.188 (67.552) Epoch: [20][6400/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6978 (2.6686) Prec@1 39.062 (42.450) Prec@5 66.406 (67.552) Epoch: [20][6410/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8674 (2.6687) Prec@1 45.312 (42.449) Prec@5 65.625 (67.549) Epoch: [20][6420/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9964 (2.6688) Prec@1 34.375 (42.448) Prec@5 65.625 (67.548) Epoch: [20][6430/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 2.6015 (2.6688) Prec@1 44.531 (42.446) Prec@5 68.750 (67.545) Epoch: [20][6440/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7095 (2.6689) Prec@1 38.281 (42.445) Prec@5 62.500 (67.542) Epoch: [20][6450/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7852 (2.6688) Prec@1 40.625 (42.446) Prec@5 66.406 (67.545) Epoch: [20][6460/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8257 (2.6687) Prec@1 38.281 (42.448) Prec@5 64.062 (67.546) Epoch: [20][6470/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6062 (2.6690) Prec@1 41.406 (42.441) Prec@5 71.875 (67.545) Epoch: [20][6480/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6517 (2.6690) Prec@1 36.719 (42.439) Prec@5 71.875 (67.544) Epoch: [20][6490/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5237 (2.6692) Prec@1 45.312 (42.434) Prec@5 71.094 (67.541) Epoch: [20][6500/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.3491 (2.6691) Prec@1 53.125 (42.437) Prec@5 74.219 (67.543) Epoch: [20][6510/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9958 (2.6692) Prec@1 42.969 (42.436) Prec@5 64.062 (67.541) Epoch: [20][6520/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5756 (2.6691) Prec@1 46.875 (42.437) Prec@5 64.844 (67.542) /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: [20][6530/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.2602 (2.6690) Prec@1 47.656 (42.438) Prec@5 73.438 (67.544) Epoch: [20][6540/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0465 (2.6689) Prec@1 37.500 (42.440) Prec@5 61.719 (67.546) Epoch: [20][6550/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.9361 (2.6688) Prec@1 37.500 (42.442) Prec@5 65.625 (67.546) Epoch: [20][6560/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.3945 (2.6689) Prec@1 45.312 (42.442) Prec@5 70.312 (67.546) Epoch: [20][6570/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.3160 (2.6687) Prec@1 49.219 (42.447) Prec@5 74.219 (67.549) Epoch: [20][6580/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7758 (2.6688) Prec@1 39.844 (42.444) Prec@5 66.406 (67.546) Epoch: [20][6590/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7527 (2.6688) Prec@1 46.094 (42.443) Prec@5 67.969 (67.542) Epoch: [20][6600/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5916 (2.6688) Prec@1 43.750 (42.443) Prec@5 68.750 (67.543) Epoch: [20][6610/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8344 (2.6688) Prec@1 38.281 (42.445) Prec@5 66.406 (67.545) Epoch: [20][6620/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6629 (2.6689) Prec@1 45.312 (42.443) Prec@5 66.406 (67.542) Epoch: [20][6630/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4461 (2.6688) Prec@1 47.656 (42.445) Prec@5 71.094 (67.542) Epoch: [20][6640/10010] Time 0.311 (0.332) Data 0.001 (0.001) Loss 2.6567 (2.6690) Prec@1 39.062 (42.441) Prec@5 67.969 (67.540) Epoch: [20][6650/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.3708 (2.6690) Prec@1 48.438 (42.440) Prec@5 75.000 (67.540) Epoch: [20][6660/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5611 (2.6691) Prec@1 43.750 (42.438) Prec@5 65.625 (67.538) Epoch: [20][6670/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7800 (2.6690) Prec@1 41.406 (42.437) Prec@5 65.625 (67.538) Epoch: [20][6680/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.3740 (2.6693) Prec@1 45.312 (42.433) Prec@5 71.094 (67.534) Epoch: [20][6690/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.0043 (2.6695) Prec@1 36.719 (42.429) Prec@5 63.281 (67.531) Epoch: [20][6700/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6816 (2.6695) Prec@1 42.969 (42.428) Prec@5 64.844 (67.531) Epoch: [20][6710/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8620 (2.6696) Prec@1 37.500 (42.426) Prec@5 67.188 (67.530) Epoch: [20][6720/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5992 (2.6696) Prec@1 45.312 (42.427) Prec@5 70.312 (67.532) Epoch: [20][6730/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.1114 (2.6696) Prec@1 33.594 (42.427) Prec@5 59.375 (67.531) Epoch: [20][6740/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6907 (2.6697) Prec@1 36.719 (42.425) Prec@5 63.281 (67.530) Epoch: [20][6750/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.9101 (2.6697) Prec@1 39.062 (42.425) Prec@5 62.500 (67.531) Epoch: [20][6760/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.9202 (2.6698) Prec@1 37.500 (42.426) Prec@5 60.938 (67.532) Epoch: [20][6770/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 3.0149 (2.6698) Prec@1 34.375 (42.424) Prec@5 62.500 (67.531) Epoch: [20][6780/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7344 (2.6700) Prec@1 39.844 (42.425) Prec@5 64.062 (67.531) Epoch: [20][6790/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7488 (2.6700) Prec@1 41.406 (42.423) Prec@5 66.406 (67.533) /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: [20][6800/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7185 (2.6700) Prec@1 38.281 (42.421) Prec@5 71.875 (67.533) Epoch: [20][6810/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6070 (2.6699) Prec@1 46.875 (42.425) Prec@5 64.844 (67.534) Epoch: [20][6820/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7953 (2.6700) Prec@1 43.750 (42.424) Prec@5 63.281 (67.529) Epoch: [20][6830/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.3189 (2.6700) Prec@1 46.875 (42.424) Prec@5 73.438 (67.530) Epoch: [20][6840/10010] Time 0.326 (0.332) Data 0.003 (0.001) Loss 2.5280 (2.6699) Prec@1 38.281 (42.425) Prec@5 72.656 (67.532) Epoch: [20][6850/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6275 (2.6699) Prec@1 42.969 (42.427) Prec@5 64.844 (67.531) Epoch: [20][6860/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.1745 (2.6699) Prec@1 54.688 (42.428) Prec@5 78.906 (67.531) Epoch: [20][6870/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.8108 (2.6698) Prec@1 42.188 (42.432) Prec@5 65.625 (67.533) Epoch: [20][6880/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9246 (2.6696) Prec@1 37.500 (42.434) Prec@5 68.750 (67.536) Epoch: [20][6890/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.4927 (2.6694) Prec@1 44.531 (42.435) Prec@5 70.312 (67.539) Epoch: [20][6900/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5918 (2.6693) Prec@1 44.531 (42.437) Prec@5 71.875 (67.543) Epoch: [20][6910/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5107 (2.6693) Prec@1 39.062 (42.436) Prec@5 68.750 (67.544) Epoch: [20][6920/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7432 (2.6694) Prec@1 40.625 (42.434) Prec@5 63.281 (67.544) Epoch: [20][6930/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 3.0488 (2.6693) Prec@1 33.594 (42.430) Prec@5 64.062 (67.544) Epoch: [20][6940/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7797 (2.6693) Prec@1 38.281 (42.428) Prec@5 66.406 (67.545) Epoch: [20][6950/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6655 (2.6692) Prec@1 39.844 (42.426) Prec@5 65.625 (67.545) Epoch: [20][6960/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.1805 (2.6693) Prec@1 32.812 (42.425) Prec@5 57.812 (67.544) Epoch: [20][6970/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7569 (2.6694) Prec@1 37.500 (42.428) Prec@5 67.969 (67.545) Epoch: [20][6980/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7291 (2.6694) Prec@1 45.312 (42.428) Prec@5 66.406 (67.545) Epoch: [20][6990/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5671 (2.6692) Prec@1 43.750 (42.431) Prec@5 67.969 (67.548) Epoch: [20][7000/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6640 (2.6692) Prec@1 39.844 (42.432) Prec@5 67.969 (67.548) Epoch: [20][7010/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6653 (2.6693) Prec@1 45.312 (42.431) Prec@5 66.406 (67.546) Epoch: [20][7020/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9708 (2.6695) Prec@1 38.281 (42.427) Prec@5 62.500 (67.543) Epoch: [20][7030/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7023 (2.6696) Prec@1 42.188 (42.428) Prec@5 64.062 (67.542) Epoch: [20][7040/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6471 (2.6696) Prec@1 40.625 (42.428) Prec@5 68.750 (67.538) Epoch: [20][7050/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.9116 (2.6696) Prec@1 38.281 (42.429) Prec@5 61.719 (67.538) Epoch: [20][7060/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.4101 (2.6696) Prec@1 47.656 (42.430) Prec@5 75.000 (67.538) Epoch: [20][7070/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.9907 (2.6697) Prec@1 35.938 (42.430) Prec@5 60.938 (67.536) Epoch: [20][7080/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6773 (2.6698) Prec@1 44.531 (42.428) Prec@5 68.750 (67.535) Epoch: [20][7090/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8462 (2.6698) Prec@1 37.500 (42.427) Prec@5 64.844 (67.536) Epoch: [20][7100/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7860 (2.6698) Prec@1 41.406 (42.428) Prec@5 65.625 (67.537) /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: [20][7110/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6655 (2.6698) Prec@1 44.531 (42.427) Prec@5 66.406 (67.537) Epoch: [20][7120/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8277 (2.6699) Prec@1 46.094 (42.427) Prec@5 63.281 (67.535) Epoch: [20][7130/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.9051 (2.6699) Prec@1 40.625 (42.426) Prec@5 61.719 (67.533) Epoch: [20][7140/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.3883 (2.6700) Prec@1 46.094 (42.424) Prec@5 70.312 (67.530) Epoch: [20][7150/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8104 (2.6700) Prec@1 42.969 (42.423) Prec@5 63.281 (67.529) Epoch: [20][7160/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6660 (2.6700) Prec@1 42.969 (42.423) Prec@5 67.969 (67.528) Epoch: [20][7170/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8495 (2.6700) Prec@1 41.406 (42.424) Prec@5 66.406 (67.530) Epoch: [20][7180/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8863 (2.6699) Prec@1 34.375 (42.425) Prec@5 61.719 (67.530) Epoch: [20][7190/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5355 (2.6700) Prec@1 46.875 (42.426) Prec@5 63.281 (67.527) Epoch: [20][7200/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8756 (2.6701) Prec@1 44.531 (42.425) Prec@5 64.844 (67.525) Epoch: [20][7210/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8366 (2.6702) Prec@1 41.406 (42.424) Prec@5 68.750 (67.523) Epoch: [20][7220/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6930 (2.6703) Prec@1 42.188 (42.424) Prec@5 67.969 (67.521) Epoch: [20][7230/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8297 (2.6703) Prec@1 42.969 (42.425) Prec@5 66.406 (67.522) Epoch: [20][7240/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5279 (2.6704) Prec@1 48.438 (42.422) Prec@5 67.969 (67.521) Epoch: [20][7250/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.4315 (2.6704) Prec@1 43.750 (42.422) Prec@5 72.656 (67.521) Epoch: [20][7260/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9810 (2.6704) Prec@1 35.156 (42.422) Prec@5 64.844 (67.522) Epoch: [20][7270/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6633 (2.6705) Prec@1 44.531 (42.422) Prec@5 70.312 (67.522) Epoch: [20][7280/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7395 (2.6705) Prec@1 39.062 (42.422) Prec@5 65.625 (67.523) Epoch: [20][7290/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5584 (2.6705) Prec@1 44.531 (42.421) Prec@5 64.844 (67.522) Epoch: [20][7300/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 3.0672 (2.6706) Prec@1 41.406 (42.424) Prec@5 60.938 (67.521) Epoch: [20][7310/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.1876 (2.6705) Prec@1 50.000 (42.423) Prec@5 75.000 (67.521) Epoch: [20][7320/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8794 (2.6706) Prec@1 39.062 (42.422) Prec@5 61.719 (67.520) Epoch: [20][7330/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5636 (2.6705) Prec@1 47.656 (42.427) Prec@5 68.750 (67.521) Epoch: [20][7340/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6300 (2.6705) Prec@1 45.312 (42.426) Prec@5 68.750 (67.519) Epoch: [20][7350/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.5217 (2.6706) Prec@1 43.750 (42.426) Prec@5 71.875 (67.517) Epoch: [20][7360/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5966 (2.6705) Prec@1 39.844 (42.429) Prec@5 69.531 (67.519) Epoch: [20][7370/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.3262 (2.6703) Prec@1 48.438 (42.432) Prec@5 71.875 (67.520) Epoch: [20][7380/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6362 (2.6704) Prec@1 43.750 (42.433) Prec@5 68.750 (67.520) Epoch: [20][7390/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.5348 (2.6703) Prec@1 46.875 (42.431) Prec@5 72.656 (67.520) Epoch: [20][7400/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4934 (2.6705) Prec@1 43.750 (42.428) Prec@5 71.875 (67.518) Epoch: [20][7410/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.2350 (2.6704) Prec@1 49.219 (42.430) Prec@5 75.000 (67.519) Epoch: [20][7420/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7345 (2.6705) Prec@1 42.188 (42.426) Prec@5 68.750 (67.516) Epoch: [20][7430/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6053 (2.6704) Prec@1 42.969 (42.427) Prec@5 66.406 (67.518) Epoch: [20][7440/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7091 (2.6705) Prec@1 39.062 (42.422) Prec@5 70.312 (67.517) Epoch: [20][7450/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8290 (2.6705) Prec@1 34.375 (42.421) Prec@5 67.188 (67.519) Epoch: [20][7460/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7767 (2.6707) Prec@1 37.500 (42.418) Prec@5 65.625 (67.517) Epoch: [20][7470/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7327 (2.6709) Prec@1 43.750 (42.415) Prec@5 64.062 (67.514) Epoch: [20][7480/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3252 (2.6708) Prec@1 52.344 (42.417) Prec@5 71.875 (67.514) Epoch: [20][7490/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9807 (2.6709) Prec@1 37.500 (42.417) Prec@5 59.375 (67.512) Epoch: [20][7500/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7665 (2.6711) Prec@1 41.406 (42.414) Prec@5 64.062 (67.509) Epoch: [20][7510/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.6031 (2.6712) Prec@1 44.531 (42.414) Prec@5 70.312 (67.508) Epoch: [20][7520/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.5225 (2.6713) Prec@1 46.094 (42.411) Prec@5 67.969 (67.506) Epoch: [20][7530/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.3951 (2.6712) Prec@1 50.000 (42.414) Prec@5 71.094 (67.508) Epoch: [20][7540/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7174 (2.6711) Prec@1 44.531 (42.415) Prec@5 65.625 (67.509) Epoch: [20][7550/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7080 (2.6711) Prec@1 46.875 (42.417) Prec@5 65.625 (67.510) Epoch: [20][7560/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8695 (2.6711) Prec@1 42.188 (42.419) Prec@5 63.281 (67.513) Epoch: [20][7570/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6273 (2.6710) Prec@1 47.656 (42.421) Prec@5 69.531 (67.515) Epoch: [20][7580/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7132 (2.6712) Prec@1 44.531 (42.417) Prec@5 64.062 (67.511) Epoch: [20][7590/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 3.0559 (2.6713) Prec@1 38.281 (42.417) Prec@5 64.062 (67.511) Epoch: [20][7600/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7876 (2.6714) Prec@1 44.531 (42.415) Prec@5 67.188 (67.509) Epoch: [20][7610/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.1170 (2.6714) Prec@1 37.500 (42.416) Prec@5 59.375 (67.510) Epoch: [20][7620/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.5844 (2.6713) Prec@1 44.531 (42.416) Prec@5 68.750 (67.510) Epoch: [20][7630/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.6129 (2.6714) Prec@1 42.969 (42.414) Prec@5 72.656 (67.510) Epoch: [20][7640/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7821 (2.6714) Prec@1 43.750 (42.415) Prec@5 63.281 (67.510) Epoch: [20][7650/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.7717 (2.6715) Prec@1 40.625 (42.414) Prec@5 67.188 (67.508) Epoch: [20][7660/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7677 (2.6713) Prec@1 42.188 (42.416) Prec@5 70.312 (67.511) Epoch: [20][7670/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9067 (2.6714) Prec@1 39.062 (42.413) Prec@5 64.844 (67.511) Epoch: [20][7680/10010] Time 0.332 (0.332) Data 0.002 (0.001) Loss 2.6192 (2.6714) Prec@1 36.719 (42.415) Prec@5 67.969 (67.513) Epoch: [20][7690/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.8186 (2.6713) Prec@1 35.938 (42.417) Prec@5 65.625 (67.514) Epoch: [20][7700/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.9053 (2.6715) Prec@1 40.625 (42.416) Prec@5 67.188 (67.511) Epoch: [20][7710/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6511 (2.6716) Prec@1 45.312 (42.415) Prec@5 68.750 (67.511) Epoch: [20][7720/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7978 (2.6716) Prec@1 39.844 (42.414) Prec@5 62.500 (67.508) Epoch: [20][7730/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.9881 (2.6716) Prec@1 40.625 (42.415) Prec@5 64.062 (67.508) Epoch: [20][7740/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.3525 (2.6716) Prec@1 48.438 (42.414) Prec@5 76.562 (67.508) Epoch: [20][7750/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6286 (2.6716) Prec@1 39.844 (42.413) Prec@5 69.531 (67.507) Epoch: [20][7760/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.4261 (2.6715) Prec@1 44.531 (42.415) Prec@5 71.094 (67.510) Epoch: [20][7770/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 3.1385 (2.6717) Prec@1 33.594 (42.411) Prec@5 60.938 (67.506) Epoch: [20][7780/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5382 (2.6718) Prec@1 44.531 (42.409) Prec@5 64.062 (67.504) Epoch: [20][7790/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.0773 (2.6718) Prec@1 34.375 (42.409) Prec@5 62.500 (67.501) Epoch: [20][7800/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.4126 (2.6718) Prec@1 44.531 (42.408) Prec@5 69.531 (67.501) Epoch: [20][7810/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.9185 (2.6718) Prec@1 38.281 (42.408) Prec@5 62.500 (67.499) Epoch: [20][7820/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8361 (2.6719) Prec@1 40.625 (42.406) Prec@5 65.625 (67.498) Epoch: [20][7830/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.5585 (2.6719) Prec@1 46.094 (42.405) Prec@5 67.188 (67.498) Epoch: [20][7840/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6367 (2.6719) Prec@1 45.312 (42.404) Prec@5 71.875 (67.498) Epoch: [20][7850/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.6295 (2.6719) Prec@1 34.375 (42.402) Prec@5 67.969 (67.497) Epoch: [20][7860/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4477 (2.6719) Prec@1 52.344 (42.401) Prec@5 69.531 (67.496) Epoch: [20][7870/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.7408 (2.6719) Prec@1 39.844 (42.403) Prec@5 64.844 (67.496) Epoch: [20][7880/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7783 (2.6720) Prec@1 48.438 (42.402) Prec@5 61.719 (67.495) Epoch: [20][7890/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8107 (2.6719) Prec@1 43.750 (42.404) Prec@5 67.188 (67.497) Epoch: [20][7900/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.8493 (2.6720) Prec@1 39.844 (42.405) Prec@5 61.719 (67.494) Epoch: [20][7910/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.5775 (2.6720) Prec@1 43.750 (42.404) Prec@5 67.188 (67.494) Epoch: [20][7920/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6353 (2.6718) Prec@1 44.531 (42.406) Prec@5 67.188 (67.497) Epoch: [20][7930/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.7164 (2.6719) Prec@1 42.969 (42.406) Prec@5 63.281 (67.495) Epoch: [20][7940/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.3865 (2.6719) Prec@1 42.969 (42.404) Prec@5 73.438 (67.497) Epoch: [20][7950/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.5474 (2.6720) Prec@1 43.750 (42.403) Prec@5 64.844 (67.496) Epoch: [20][7960/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5332 (2.6720) Prec@1 42.969 (42.403) Prec@5 71.875 (67.496) Epoch: [20][7970/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6837 (2.6720) Prec@1 42.188 (42.404) Prec@5 67.969 (67.498) Epoch: [20][7980/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 3.0966 (2.6720) Prec@1 37.500 (42.404) Prec@5 54.688 (67.498) Epoch: [20][7990/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6748 (2.6719) Prec@1 42.969 (42.405) Prec@5 66.406 (67.500) Epoch: [20][8000/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6327 (2.6719) Prec@1 39.062 (42.405) Prec@5 68.750 (67.501) Epoch: [20][8010/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.3942 (2.6718) Prec@1 42.188 (42.406) Prec@5 73.438 (67.502) Epoch: [20][8020/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6369 (2.6717) Prec@1 39.062 (42.406) Prec@5 64.062 (67.502) /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: [20][8030/10010] Time 0.355 (0.332) Data 0.000 (0.001) Loss 2.5933 (2.6718) Prec@1 42.188 (42.405) Prec@5 74.219 (67.503) Epoch: [20][8040/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5626 (2.6719) Prec@1 45.312 (42.402) Prec@5 67.969 (67.503) Epoch: [20][8050/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6408 (2.6719) Prec@1 42.969 (42.401) Prec@5 64.844 (67.502) Epoch: [20][8060/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6160 (2.6719) Prec@1 46.094 (42.401) Prec@5 67.969 (67.500) Epoch: [20][8070/10010] Time 0.331 (0.332) Data 0.003 (0.001) Loss 3.0458 (2.6720) Prec@1 42.188 (42.399) Prec@5 58.594 (67.498) Epoch: [20][8080/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6630 (2.6721) Prec@1 42.969 (42.397) Prec@5 66.406 (67.494) Epoch: [20][8090/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7643 (2.6720) Prec@1 45.312 (42.399) Prec@5 67.969 (67.496) Epoch: [20][8100/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5184 (2.6720) Prec@1 43.750 (42.399) Prec@5 66.406 (67.496) Epoch: [20][8110/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5804 (2.6720) Prec@1 47.656 (42.401) Prec@5 64.062 (67.494) Epoch: [20][8120/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7519 (2.6720) Prec@1 40.625 (42.401) Prec@5 65.625 (67.492) Epoch: [20][8130/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6965 (2.6721) Prec@1 42.969 (42.398) Prec@5 68.750 (67.491) Epoch: [20][8140/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6388 (2.6722) Prec@1 43.750 (42.398) Prec@5 70.312 (67.491) Epoch: [20][8150/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.8535 (2.6724) Prec@1 40.625 (42.395) Prec@5 67.188 (67.488) Epoch: [20][8160/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.4050 (2.6724) Prec@1 44.531 (42.396) Prec@5 71.875 (67.490) Epoch: [20][8170/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5769 (2.6725) Prec@1 46.875 (42.394) Prec@5 69.531 (67.488) /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: [20][8180/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6090 (2.6724) Prec@1 33.594 (42.393) Prec@5 68.750 (67.488) Epoch: [20][8190/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7344 (2.6726) Prec@1 43.750 (42.391) Prec@5 61.719 (67.486) Epoch: [20][8200/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.1441 (2.6727) Prec@1 32.812 (42.390) Prec@5 66.406 (67.484) Epoch: [20][8210/10010] Time 0.312 (0.332) Data 0.000 (0.001) Loss 2.5203 (2.6726) Prec@1 46.875 (42.390) Prec@5 67.188 (67.485) Epoch: [20][8220/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.3864 (2.6726) Prec@1 46.094 (42.391) Prec@5 73.438 (67.486) Epoch: [20][8230/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 3.1127 (2.6727) Prec@1 35.156 (42.389) Prec@5 59.375 (67.484) Epoch: [20][8240/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.7112 (2.6727) Prec@1 46.094 (42.391) Prec@5 64.844 (67.484) Epoch: [20][8250/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7898 (2.6727) Prec@1 40.625 (42.392) Prec@5 65.625 (67.484) Epoch: [20][8260/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5996 (2.6727) Prec@1 38.281 (42.392) Prec@5 67.188 (67.484) Epoch: [20][8270/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5967 (2.6726) Prec@1 46.094 (42.395) Prec@5 71.094 (67.488) Epoch: [20][8280/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8655 (2.6727) Prec@1 42.969 (42.392) Prec@5 67.969 (67.488) Epoch: [20][8290/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6124 (2.6727) Prec@1 41.406 (42.391) Prec@5 67.188 (67.486) Epoch: [20][8300/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.9135 (2.6728) Prec@1 36.719 (42.389) Prec@5 65.625 (67.487) Epoch: [20][8310/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6880 (2.6729) Prec@1 43.750 (42.386) Prec@5 67.969 (67.485) Epoch: [20][8320/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9352 (2.6729) Prec@1 35.156 (42.386) Prec@5 64.844 (67.486) Epoch: [20][8330/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8408 (2.6729) Prec@1 37.500 (42.382) Prec@5 66.406 (67.486) Epoch: [20][8340/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8596 (2.6729) Prec@1 41.406 (42.383) Prec@5 65.625 (67.486) Epoch: [20][8350/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6247 (2.6728) Prec@1 40.625 (42.382) Prec@5 71.094 (67.487) Epoch: [20][8360/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.8791 (2.6729) Prec@1 35.938 (42.381) Prec@5 65.625 (67.486) Epoch: [20][8370/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.9427 (2.6730) Prec@1 39.062 (42.379) Prec@5 61.719 (67.485) Epoch: [20][8380/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7020 (2.6731) Prec@1 42.188 (42.378) Prec@5 67.188 (67.485) Epoch: [20][8390/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.2530 (2.6733) Prec@1 33.594 (42.375) Prec@5 56.250 (67.482) Epoch: [20][8400/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.5512 (2.6734) Prec@1 45.312 (42.373) Prec@5 72.656 (67.481) Epoch: [20][8410/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7190 (2.6735) Prec@1 40.625 (42.372) Prec@5 66.406 (67.479) Epoch: [20][8420/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8026 (2.6735) Prec@1 35.156 (42.372) Prec@5 64.062 (67.479) Epoch: [20][8430/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9317 (2.6736) Prec@1 42.188 (42.370) Prec@5 64.844 (67.476) Epoch: [20][8440/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8794 (2.6736) Prec@1 32.031 (42.369) Prec@5 66.406 (67.476) Epoch: [20][8450/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9651 (2.6736) Prec@1 39.844 (42.368) Prec@5 63.281 (67.476) Epoch: [20][8460/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.8229 (2.6735) Prec@1 39.844 (42.369) Prec@5 64.062 (67.477) Epoch: [20][8470/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6268 (2.6734) Prec@1 42.188 (42.370) Prec@5 68.750 (67.479) Epoch: [20][8480/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5863 (2.6733) Prec@1 46.875 (42.373) Prec@5 71.875 (67.482) Epoch: [20][8490/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7230 (2.6733) Prec@1 37.500 (42.374) Prec@5 73.438 (67.483) Epoch: [20][8500/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5757 (2.6734) Prec@1 44.531 (42.373) Prec@5 72.656 (67.482) Epoch: [20][8510/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.3820 (2.6733) Prec@1 46.094 (42.374) Prec@5 70.312 (67.484) Epoch: [20][8520/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8397 (2.6733) Prec@1 38.281 (42.372) Prec@5 65.625 (67.483) Epoch: [20][8530/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7896 (2.6733) Prec@1 41.406 (42.371) Prec@5 64.062 (67.484) Epoch: [20][8540/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7167 (2.6733) Prec@1 42.969 (42.372) Prec@5 67.188 (67.485) Epoch: [20][8550/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.4443 (2.6735) Prec@1 46.875 (42.371) Prec@5 70.312 (67.481) Epoch: [20][8560/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6457 (2.6735) Prec@1 42.969 (42.369) Prec@5 66.406 (67.481) Epoch: [20][8570/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5823 (2.6736) Prec@1 40.625 (42.367) Prec@5 67.969 (67.480) Epoch: [20][8580/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7516 (2.6735) Prec@1 40.625 (42.367) Prec@5 67.188 (67.479) Epoch: [20][8590/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8717 (2.6736) Prec@1 35.156 (42.364) Prec@5 66.406 (67.479) Epoch: [20][8600/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4762 (2.6736) Prec@1 46.875 (42.366) Prec@5 66.406 (67.480) Epoch: [20][8610/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5295 (2.6737) Prec@1 40.625 (42.365) Prec@5 67.969 (67.477) Epoch: [20][8620/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 3.1021 (2.6737) Prec@1 38.281 (42.365) Prec@5 61.719 (67.477) Epoch: [20][8630/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8268 (2.6739) Prec@1 39.062 (42.362) Prec@5 64.844 (67.474) Epoch: [20][8640/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7898 (2.6740) Prec@1 41.406 (42.362) Prec@5 66.406 (67.474) Epoch: [20][8650/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6099 (2.6739) Prec@1 39.062 (42.362) Prec@5 71.094 (67.475) Epoch: [20][8660/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5653 (2.6738) Prec@1 45.312 (42.364) Prec@5 67.188 (67.476) Epoch: [20][8670/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8305 (2.6739) Prec@1 39.844 (42.364) Prec@5 63.281 (67.476) Epoch: [20][8680/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7646 (2.6739) Prec@1 34.375 (42.365) Prec@5 62.500 (67.475) Epoch: [20][8690/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6959 (2.6738) Prec@1 42.188 (42.363) Prec@5 67.969 (67.476) Epoch: [20][8700/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4751 (2.6739) Prec@1 44.531 (42.362) Prec@5 67.188 (67.475) Epoch: [20][8710/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5036 (2.6739) Prec@1 45.312 (42.364) Prec@5 72.656 (67.475) Epoch: [20][8720/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8377 (2.6740) Prec@1 38.281 (42.361) Prec@5 64.844 (67.472) Epoch: [20][8730/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4928 (2.6742) Prec@1 46.875 (42.359) Prec@5 70.312 (67.469) Epoch: [20][8740/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4221 (2.6741) Prec@1 46.094 (42.359) Prec@5 73.438 (67.470) Epoch: [20][8750/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 3.0034 (2.6741) Prec@1 37.500 (42.361) Prec@5 66.406 (67.472) /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: [20][8760/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6563 (2.6741) Prec@1 39.844 (42.360) Prec@5 66.406 (67.472) Epoch: [20][8770/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.8958 (2.6741) Prec@1 45.312 (42.360) Prec@5 64.062 (67.474) Epoch: [20][8780/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5770 (2.6743) Prec@1 46.094 (42.357) Prec@5 66.406 (67.472) Epoch: [20][8790/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6792 (2.6743) Prec@1 40.625 (42.356) Prec@5 68.750 (67.472) Epoch: [20][8800/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.9346 (2.6744) Prec@1 32.031 (42.353) Prec@5 64.062 (67.471) Epoch: [20][8810/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8335 (2.6744) Prec@1 43.750 (42.353) Prec@5 68.750 (67.471) Epoch: [20][8820/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6151 (2.6745) Prec@1 42.969 (42.353) Prec@5 67.188 (67.473) Epoch: [20][8830/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8307 (2.6745) Prec@1 35.156 (42.353) Prec@5 61.719 (67.473) Epoch: [20][8840/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7004 (2.6745) Prec@1 42.969 (42.353) Prec@5 62.500 (67.470) Epoch: [20][8850/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5774 (2.6745) Prec@1 38.281 (42.353) Prec@5 69.531 (67.471) Epoch: [20][8860/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.3130 (2.6745) Prec@1 53.125 (42.352) Prec@5 73.438 (67.471) Epoch: [20][8870/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.0089 (2.6747) Prec@1 33.594 (42.349) Prec@5 62.500 (67.468) Epoch: [20][8880/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8538 (2.6747) Prec@1 44.531 (42.348) Prec@5 65.625 (67.468) Epoch: [20][8890/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4640 (2.6747) Prec@1 47.656 (42.347) Prec@5 74.219 (67.470) Epoch: [20][8900/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4887 (2.6746) Prec@1 43.750 (42.348) Prec@5 72.656 (67.470) Epoch: [20][8910/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.8263 (2.6747) Prec@1 40.625 (42.346) Prec@5 64.844 (67.470) Epoch: [20][8920/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6465 (2.6747) Prec@1 41.406 (42.347) Prec@5 68.750 (67.469) Epoch: [20][8930/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6246 (2.6747) Prec@1 42.969 (42.348) Prec@5 72.656 (67.470) Epoch: [20][8940/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.4673 (2.6747) Prec@1 44.531 (42.349) Prec@5 75.000 (67.471) Epoch: [20][8950/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 2.7037 (2.6748) Prec@1 39.844 (42.348) Prec@5 63.281 (67.469) Epoch: [20][8960/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9916 (2.6748) Prec@1 38.281 (42.348) Prec@5 61.719 (67.468) Epoch: [20][8970/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5738 (2.6748) Prec@1 48.438 (42.347) Prec@5 69.531 (67.468) Epoch: [20][8980/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8537 (2.6749) Prec@1 34.375 (42.346) Prec@5 61.719 (67.467) Epoch: [20][8990/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.4774 (2.6748) Prec@1 50.000 (42.347) Prec@5 67.969 (67.467) Epoch: [20][9000/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8323 (2.6749) Prec@1 39.844 (42.347) Prec@5 66.406 (67.468) Epoch: [20][9010/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7822 (2.6749) Prec@1 42.969 (42.346) Prec@5 64.844 (67.466) Epoch: [20][9020/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9482 (2.6749) Prec@1 37.500 (42.345) Prec@5 71.094 (67.466) Epoch: [20][9030/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5234 (2.6748) Prec@1 49.219 (42.348) Prec@5 67.188 (67.467) Epoch: [20][9040/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5612 (2.6750) Prec@1 46.875 (42.344) Prec@5 67.188 (67.465) Epoch: [20][9050/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6873 (2.6750) Prec@1 41.406 (42.343) Prec@5 65.625 (67.464) Epoch: [20][9060/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.2321 (2.6749) Prec@1 48.438 (42.346) Prec@5 75.781 (67.466) Epoch: [20][9070/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6492 (2.6749) Prec@1 39.062 (42.347) Prec@5 68.750 (67.466) Epoch: [20][9080/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7926 (2.6748) Prec@1 36.719 (42.348) Prec@5 65.625 (67.468) Epoch: [20][9090/10010] Time 0.353 (0.332) Data 0.001 (0.001) Loss 2.8253 (2.6749) Prec@1 36.719 (42.346) Prec@5 63.281 (67.467) Epoch: [20][9100/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8422 (2.6749) Prec@1 34.375 (42.345) Prec@5 64.844 (67.464) Epoch: [20][9110/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6784 (2.6749) Prec@1 39.844 (42.345) Prec@5 66.406 (67.463) Epoch: [20][9120/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8419 (2.6750) Prec@1 46.094 (42.345) Prec@5 69.531 (67.461) Epoch: [20][9130/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8733 (2.6750) Prec@1 34.375 (42.344) Prec@5 65.625 (67.461) Epoch: [20][9140/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7859 (2.6752) Prec@1 40.625 (42.342) Prec@5 62.500 (67.459) Epoch: [20][9150/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7285 (2.6753) Prec@1 47.656 (42.343) Prec@5 69.531 (67.459) Epoch: [20][9160/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.7855 (2.6753) Prec@1 42.188 (42.344) Prec@5 68.750 (67.460) Epoch: [20][9170/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 3.0682 (2.6753) Prec@1 35.938 (42.342) Prec@5 59.375 (67.461) Epoch: [20][9180/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7459 (2.6753) Prec@1 35.938 (42.341) Prec@5 67.969 (67.461) Epoch: [20][9190/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6354 (2.6753) Prec@1 42.969 (42.343) Prec@5 64.062 (67.460) /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: [20][9200/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.1495 (2.6752) Prec@1 49.219 (42.344) Prec@5 75.781 (67.463) Epoch: [20][9210/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0349 (2.6751) Prec@1 37.500 (42.345) Prec@5 61.719 (67.466) Epoch: [20][9220/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9731 (2.6750) Prec@1 39.062 (42.347) Prec@5 65.625 (67.466) Epoch: [20][9230/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6724 (2.6750) Prec@1 39.844 (42.348) Prec@5 70.312 (67.467) Epoch: [20][9240/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.5593 (2.6751) Prec@1 46.875 (42.347) Prec@5 68.750 (67.466) Epoch: [20][9250/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4754 (2.6752) Prec@1 45.312 (42.344) Prec@5 74.219 (67.466) Epoch: [20][9260/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6387 (2.6751) Prec@1 42.969 (42.347) Prec@5 67.188 (67.466) Epoch: [20][9270/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.6084 (2.6752) Prec@1 42.188 (42.342) Prec@5 67.969 (67.464) Epoch: [20][9280/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6107 (2.6752) Prec@1 44.531 (42.343) Prec@5 69.531 (67.463) Epoch: [20][9290/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4616 (2.6752) Prec@1 46.875 (42.343) Prec@5 71.094 (67.463) Epoch: [20][9300/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6056 (2.6751) Prec@1 45.312 (42.345) Prec@5 68.750 (67.465) Epoch: [20][9310/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.9292 (2.6750) Prec@1 38.281 (42.347) Prec@5 60.156 (67.467) Epoch: [20][9320/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7691 (2.6749) Prec@1 42.188 (42.349) Prec@5 66.406 (67.468) Epoch: [20][9330/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9288 (2.6749) Prec@1 41.406 (42.349) Prec@5 61.719 (67.467) Epoch: [20][9340/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6514 (2.6750) Prec@1 37.500 (42.345) Prec@5 69.531 (67.465) Epoch: [20][9350/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4895 (2.6749) Prec@1 46.094 (42.348) Prec@5 69.531 (67.466) Epoch: [20][9360/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6757 (2.6749) Prec@1 39.844 (42.348) Prec@5 71.094 (67.467) Epoch: [20][9370/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.4535 (2.6749) Prec@1 49.219 (42.350) Prec@5 71.875 (67.468) Epoch: [20][9380/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.4612 (2.6748) Prec@1 44.531 (42.351) Prec@5 69.531 (67.469) Epoch: [20][9390/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0115 (2.6747) Prec@1 33.594 (42.350) Prec@5 57.812 (67.470) Epoch: [20][9400/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6146 (2.6747) Prec@1 46.094 (42.349) Prec@5 71.094 (67.472) Epoch: [20][9410/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6084 (2.6745) Prec@1 42.188 (42.351) Prec@5 68.750 (67.474) Epoch: [20][9420/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4505 (2.6745) Prec@1 39.844 (42.352) Prec@5 71.875 (67.473) Epoch: [20][9430/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6677 (2.6746) Prec@1 38.281 (42.350) Prec@5 65.625 (67.471) Epoch: [20][9440/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.6931 (2.6747) Prec@1 41.406 (42.348) Prec@5 69.531 (67.471) Epoch: [20][9450/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8247 (2.6746) Prec@1 42.969 (42.350) Prec@5 64.844 (67.471) Epoch: [20][9460/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7421 (2.6747) Prec@1 37.500 (42.348) Prec@5 65.625 (67.469) Epoch: [20][9470/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.2176 (2.6746) Prec@1 49.219 (42.351) Prec@5 75.781 (67.472) Epoch: [20][9480/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6343 (2.6746) Prec@1 42.969 (42.350) Prec@5 71.875 (67.470) Epoch: [20][9490/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6981 (2.6747) Prec@1 41.406 (42.350) Prec@5 63.281 (67.468) Epoch: [20][9500/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8589 (2.6748) Prec@1 42.188 (42.347) Prec@5 62.500 (67.465) Epoch: [20][9510/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7385 (2.6748) Prec@1 46.094 (42.348) Prec@5 64.844 (67.465) Epoch: [20][9520/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.2175 (2.6748) Prec@1 35.938 (42.348) Prec@5 56.250 (67.465) Epoch: [20][9530/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9266 (2.6749) Prec@1 39.062 (42.346) Prec@5 64.844 (67.463) Epoch: [20][9540/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7989 (2.6749) Prec@1 42.969 (42.347) Prec@5 66.406 (67.464) Epoch: [20][9550/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4455 (2.6749) Prec@1 42.188 (42.346) Prec@5 70.312 (67.465) Epoch: [20][9560/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.2665 (2.6750) Prec@1 32.031 (42.345) Prec@5 59.375 (67.464) Epoch: [20][9570/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9583 (2.6751) Prec@1 37.500 (42.345) Prec@5 65.625 (67.462) Epoch: [20][9580/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7131 (2.6751) Prec@1 46.875 (42.348) Prec@5 64.844 (67.462) Epoch: [20][9590/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9035 (2.6751) Prec@1 39.062 (42.347) Prec@5 63.281 (67.462) Epoch: [20][9600/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.1846 (2.6751) Prec@1 54.688 (42.347) Prec@5 75.781 (67.461) Epoch: [20][9610/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7585 (2.6752) Prec@1 42.969 (42.346) Prec@5 64.062 (67.459) Epoch: [20][9620/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7199 (2.6752) Prec@1 35.156 (42.346) Prec@5 62.500 (67.460) Epoch: [20][9630/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5482 (2.6751) Prec@1 45.312 (42.348) Prec@5 68.750 (67.461) Epoch: [20][9640/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7877 (2.6752) Prec@1 39.844 (42.346) Prec@5 63.281 (67.459) Epoch: [20][9650/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8162 (2.6753) Prec@1 41.406 (42.345) Prec@5 65.625 (67.459) Epoch: [20][9660/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7372 (2.6753) Prec@1 42.969 (42.346) Prec@5 67.969 (67.458) Epoch: [20][9670/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8947 (2.6753) Prec@1 35.938 (42.347) Prec@5 64.062 (67.458) Epoch: [20][9680/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5603 (2.6753) Prec@1 44.531 (42.348) Prec@5 71.875 (67.458) Epoch: [20][9690/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6223 (2.6753) Prec@1 39.844 (42.347) Prec@5 70.312 (67.460) Epoch: [20][9700/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.3579 (2.6752) Prec@1 47.656 (42.350) Prec@5 76.562 (67.462) Epoch: [20][9710/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.0073 (2.6752) Prec@1 32.812 (42.349) Prec@5 60.938 (67.462) Epoch: [20][9720/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7262 (2.6753) Prec@1 39.844 (42.350) Prec@5 65.625 (67.461) Epoch: [20][9730/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6208 (2.6753) Prec@1 44.531 (42.349) Prec@5 64.844 (67.459) Epoch: [20][9740/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.9033 (2.6753) Prec@1 35.938 (42.350) Prec@5 66.406 (67.460) Epoch: [20][9750/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0182 (2.6754) Prec@1 36.719 (42.350) Prec@5 62.500 (67.459) Epoch: [20][9760/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.1326 (2.6754) Prec@1 30.469 (42.350) Prec@5 62.500 (67.459) Epoch: [20][9770/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.2963 (2.6754) Prec@1 50.781 (42.349) Prec@5 70.312 (67.459) Epoch: [20][9780/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.3822 (2.6754) Prec@1 51.562 (42.350) Prec@5 70.312 (67.459) Epoch: [20][9790/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9472 (2.6754) Prec@1 39.062 (42.351) Prec@5 60.938 (67.460) Epoch: [20][9800/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9655 (2.6755) Prec@1 35.156 (42.349) Prec@5 60.156 (67.459) Epoch: [20][9810/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6980 (2.6755) Prec@1 42.969 (42.351) Prec@5 66.406 (67.460) Epoch: [20][9820/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5454 (2.6754) Prec@1 39.844 (42.352) Prec@5 67.188 (67.459) Epoch: [20][9830/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5375 (2.6754) Prec@1 42.969 (42.351) Prec@5 68.750 (67.460) Epoch: [20][9840/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6776 (2.6755) Prec@1 38.281 (42.348) Prec@5 67.969 (67.459) Epoch: [20][9850/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.7013 (2.6755) Prec@1 41.406 (42.347) Prec@5 67.969 (67.457) Epoch: [20][9860/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6293 (2.6756) Prec@1 42.188 (42.346) Prec@5 63.281 (67.456) Epoch: [20][9870/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5659 (2.6755) Prec@1 44.531 (42.346) Prec@5 67.188 (67.457) Epoch: [20][9880/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7688 (2.6755) Prec@1 34.375 (42.344) Prec@5 67.969 (67.457) Epoch: [20][9890/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5318 (2.6754) Prec@1 47.656 (42.345) Prec@5 71.875 (67.458) Epoch: [20][9900/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5516 (2.6755) Prec@1 42.969 (42.344) Prec@5 68.750 (67.458) Epoch: [20][9910/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0737 (2.6756) Prec@1 34.375 (42.342) Prec@5 61.719 (67.455) Epoch: [20][9920/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5709 (2.6755) Prec@1 42.188 (42.342) Prec@5 71.875 (67.457) Epoch: [20][9930/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6599 (2.6755) Prec@1 43.750 (42.343) Prec@5 67.188 (67.457) Epoch: [20][9940/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7733 (2.6754) Prec@1 39.844 (42.345) Prec@5 68.750 (67.459) Epoch: [20][9950/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8185 (2.6754) Prec@1 44.531 (42.346) Prec@5 71.094 (67.458) Epoch: [20][9960/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4532 (2.6755) Prec@1 50.000 (42.344) Prec@5 76.562 (67.458) Epoch: [20][9970/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5238 (2.6755) Prec@1 44.531 (42.342) Prec@5 67.969 (67.458) Epoch: [20][9980/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6448 (2.6756) Prec@1 43.750 (42.341) Prec@5 67.969 (67.456) Epoch: [20][9990/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8978 (2.6756) Prec@1 39.062 (42.341) Prec@5 58.594 (67.457) Epoch: [20][10000/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1898 (2.6755) Prec@1 38.281 (42.343) Prec@5 57.812 (67.459) Test: [0/391] Time 2.107 (2.107) Loss 1.6503 (1.6503) Prec@1 64.062 (64.062) Prec@5 85.156 (85.156) Test: [10/391] Time 0.103 (0.291) Loss 2.5414 (1.7845) Prec@1 46.094 (59.162) Prec@5 71.875 (82.528) Test: [20/391] Time 0.112 (0.202) Loss 2.7471 (2.3275) Prec@1 39.844 (49.442) Prec@5 64.844 (73.996) Test: [30/391] Time 0.105 (0.172) Loss 3.0564 (2.5018) Prec@1 39.844 (46.648) Prec@5 61.719 (71.522) Test: [40/391] Time 0.106 (0.155) Loss 2.8533 (2.2812) Prec@1 40.625 (51.010) Prec@5 57.031 (74.181) Test: [50/391] Time 0.107 (0.146) Loss 1.3305 (2.3399) Prec@1 60.938 (50.031) Prec@5 88.281 (73.315) Test: [60/391] Time 0.106 (0.141) Loss 2.6455 (2.2085) Prec@1 35.938 (52.100) Prec@5 68.750 (75.282) Test: [70/391] Time 0.105 (0.136) Loss 2.3065 (2.1730) Prec@1 38.281 (51.562) Prec@5 71.094 (76.045) Test: [80/391] Time 0.107 (0.132) Loss 2.5049 (2.2080) Prec@1 42.188 (50.010) Prec@5 70.312 (75.694) Test: [90/391] Time 0.108 (0.129) Loss 2.0140 (2.2154) Prec@1 46.875 (49.639) Prec@5 85.156 (75.507) Test: [100/391] Time 0.113 (0.129) Loss 2.8470 (2.1881) Prec@1 24.219 (49.041) Prec@5 66.406 (76.114) Test: [110/391] Time 0.103 (0.127) Loss 2.5111 (2.1851) Prec@1 32.812 (48.768) Prec@5 75.781 (76.288) Test: [120/391] Time 0.107 (0.125) Loss 2.0573 (2.1385) Prec@1 50.000 (49.845) Prec@5 77.344 (77.053) Test: [130/391] Time 0.109 (0.124) Loss 1.8742 (2.1444) Prec@1 60.938 (49.851) Prec@5 78.906 (76.902) Test: [140/391] Time 0.106 (0.123) Loss 3.9268 (2.1580) Prec@1 6.250 (49.523) Prec@5 51.562 (76.707) Test: [150/391] Time 0.108 (0.122) Loss 1.2337 (2.1434) Prec@1 63.281 (49.607) Prec@5 92.969 (76.785) Test: [160/391] Time 0.102 (0.121) Loss 2.9739 (2.1459) Prec@1 30.469 (49.733) Prec@5 60.156 (76.839) Test: [170/391] Time 0.107 (0.120) Loss 3.7690 (2.1912) Prec@1 15.625 (49.050) Prec@5 47.656 (76.023) Test: [180/391] Time 0.105 (0.119) Loss 3.2217 (2.2378) Prec@1 30.469 (48.191) Prec@5 59.375 (75.298) Test: [190/391] Time 0.107 (0.118) Loss 2.3852 (2.2813) Prec@1 46.875 (47.546) Prec@5 75.000 (74.607) Test: [200/391] Time 0.108 (0.118) Loss 2.7870 (2.3267) Prec@1 39.844 (46.937) Prec@5 61.719 (73.916) Test: [210/391] Time 0.104 (0.118) Loss 2.5426 (2.3548) Prec@1 42.969 (46.597) Prec@5 75.000 (73.493) Test: [220/391] Time 0.104 (0.117) Loss 1.7658 (2.3655) Prec@1 60.156 (46.423) Prec@5 76.562 (73.300) Test: [230/391] Time 0.109 (0.117) Loss 3.5575 (2.3852) Prec@1 25.781 (46.090) Prec@5 55.469 (72.947) Test: [240/391] Time 0.106 (0.117) Loss 3.1245 (2.3971) Prec@1 34.375 (45.964) Prec@5 60.156 (72.744) Test: [250/391] Time 0.105 (0.116) Loss 2.4553 (2.4308) Prec@1 46.094 (45.437) Prec@5 70.312 (72.233) Test: [260/391] Time 0.108 (0.116) Loss 3.3267 (2.4518) Prec@1 24.219 (44.998) Prec@5 57.812 (71.914) Test: [270/391] Time 0.105 (0.115) Loss 3.3597 (2.4679) Prec@1 23.438 (44.762) Prec@5 62.500 (71.616) Test: [280/391] Time 0.107 (0.115) Loss 2.6056 (2.4747) Prec@1 42.969 (44.734) Prec@5 67.188 (71.477) Test: [290/391] Time 0.108 (0.115) Loss 3.5831 (2.4938) Prec@1 20.312 (44.523) Prec@5 57.812 (71.169) Test: [300/391] Time 0.108 (0.115) Loss 2.1322 (2.5112) Prec@1 60.938 (44.311) Prec@5 78.125 (70.886) Test: [310/391] Time 0.109 (0.114) Loss 3.0201 (2.5320) Prec@1 46.094 (43.974) Prec@5 62.500 (70.536) Test: [320/391] Time 0.103 (0.114) Loss 1.7136 (2.5346) Prec@1 57.812 (43.993) Prec@5 85.156 (70.502) Test: [330/391] Time 0.109 (0.114) Loss 3.2786 (2.5646) Prec@1 33.594 (43.505) Prec@5 53.906 (69.958) Test: [340/391] Time 0.104 (0.114) Loss 2.2607 (2.5657) Prec@1 49.219 (43.477) Prec@5 78.125 (69.930) Test: [350/391] Time 0.106 (0.114) Loss 3.1426 (2.5756) Prec@1 32.031 (43.363) Prec@5 59.375 (69.745) Test: [360/391] Time 0.106 (0.113) Loss 2.6652 (2.5770) Prec@1 36.719 (43.363) Prec@5 70.312 (69.739) Test: [370/391] Time 0.112 (0.113) Loss 2.5780 (2.5760) Prec@1 40.625 (43.369) Prec@5 69.531 (69.723) Test: [380/391] Time 0.102 (0.113) Loss 1.6069 (2.5820) Prec@1 61.719 (43.313) Prec@5 88.281 (69.644) Test: [390/391] Time 0.071 (0.113) Loss 3.6960 (2.5699) Prec@1 21.250 (43.638) Prec@5 52.500 (69.856) * Prec@1 43.638 Prec@5 69.856 Epoch: [21][0/10010] Time 2.844 (2.844) Data 2.678 (2.678) Loss 2.5502 (2.5502) Prec@1 48.438 (48.438) Prec@5 67.188 (67.188) Epoch: [21][10/10010] Time 0.328 (0.552) Data 0.000 (0.244) Loss 2.5342 (2.6804) Prec@1 39.062 (42.614) Prec@5 70.312 (66.051) Epoch: [21][20/10010] Time 0.327 (0.442) Data 0.000 (0.128) Loss 2.6497 (2.6726) Prec@1 43.750 (42.076) Prec@5 65.625 (66.592) Epoch: [21][30/10010] Time 0.321 (0.403) Data 0.000 (0.087) Loss 2.5466 (2.6374) Prec@1 41.406 (42.641) Prec@5 70.312 (67.440) Epoch: [21][40/10010] Time 0.318 (0.383) Data 0.000 (0.066) Loss 2.6774 (2.6398) Prec@1 43.750 (42.435) Prec@5 69.531 (67.397) Epoch: [21][50/10010] Time 0.330 (0.372) Data 0.000 (0.053) Loss 3.2322 (2.6555) Prec@1 32.031 (42.004) Prec@5 59.375 (67.341) Epoch: [21][60/10010] Time 0.329 (0.366) Data 0.001 (0.044) Loss 2.3827 (2.6511) Prec@1 49.219 (42.136) Prec@5 71.094 (67.469) Epoch: [21][70/10010] Time 0.338 (0.361) Data 0.000 (0.038) Loss 2.4161 (2.6358) Prec@1 43.750 (42.595) Prec@5 68.750 (67.870) Epoch: [21][80/10010] Time 0.328 (0.357) Data 0.000 (0.034) Loss 2.5467 (2.6454) Prec@1 50.000 (42.670) Prec@5 67.188 (67.631) Epoch: [21][90/10010] Time 0.327 (0.354) Data 0.001 (0.030) Loss 2.7669 (2.6495) Prec@1 37.500 (42.385) Prec@5 68.750 (67.625) Epoch: [21][100/10010] Time 0.337 (0.352) Data 0.000 (0.027) Loss 2.7078 (2.6619) Prec@1 41.406 (42.164) Prec@5 68.750 (67.358) Epoch: [21][110/10010] Time 0.321 (0.350) Data 0.000 (0.025) Loss 2.8972 (2.6726) Prec@1 38.281 (41.913) Prec@5 68.750 (67.096) Epoch: [21][120/10010] Time 0.339 (0.349) Data 0.000 (0.023) Loss 2.5598 (2.6625) Prec@1 46.094 (42.116) Prec@5 65.625 (67.233) Epoch: [21][130/10010] Time 0.336 (0.347) Data 0.000 (0.021) Loss 2.7172 (2.6612) Prec@1 42.969 (42.170) Prec@5 67.188 (67.301) Epoch: [21][140/10010] Time 0.340 (0.346) Data 0.001 (0.020) Loss 2.4339 (2.6532) Prec@1 42.188 (42.287) Prec@5 71.094 (67.387) Epoch: [21][150/10010] Time 0.327 (0.346) Data 0.000 (0.018) Loss 2.4597 (2.6475) Prec@1 45.312 (42.322) Prec@5 69.531 (67.508) Epoch: [21][160/10010] Time 0.323 (0.344) Data 0.001 (0.017) Loss 2.7099 (2.6457) Prec@1 40.625 (42.328) Prec@5 65.625 (67.595) Epoch: [21][170/10010] Time 0.329 (0.343) Data 0.000 (0.016) Loss 2.4253 (2.6483) Prec@1 46.875 (42.361) Prec@5 65.625 (67.503) Epoch: [21][180/10010] Time 0.346 (0.343) Data 0.001 (0.015) Loss 2.4578 (2.6473) Prec@1 46.094 (42.399) Prec@5 70.312 (67.516) Epoch: [21][190/10010] Time 0.320 (0.342) Data 0.001 (0.015) Loss 2.7381 (2.6469) Prec@1 34.375 (42.417) Prec@5 71.094 (67.539) Epoch: [21][200/10010] Time 0.322 (0.341) Data 0.001 (0.014) Loss 2.9638 (2.6484) Prec@1 40.625 (42.440) Prec@5 63.281 (67.510) Epoch: [21][210/10010] Time 0.338 (0.341) Data 0.000 (0.013) Loss 2.5888 (2.6502) Prec@1 45.312 (42.410) Prec@5 70.312 (67.480) Epoch: [21][220/10010] Time 0.327 (0.340) Data 0.001 (0.013) Loss 2.7816 (2.6453) Prec@1 39.062 (42.527) Prec@5 61.719 (67.573) Epoch: [21][230/10010] Time 0.327 (0.340) Data 0.001 (0.012) Loss 2.4974 (2.6441) Prec@1 42.969 (42.502) Prec@5 72.656 (67.661) Epoch: [21][240/10010] Time 0.316 (0.340) Data 0.001 (0.012) Loss 2.3606 (2.6429) Prec@1 41.406 (42.499) Prec@5 70.312 (67.671) Epoch: [21][250/10010] Time 0.330 (0.340) Data 0.001 (0.011) Loss 2.4213 (2.6469) Prec@1 48.438 (42.443) Prec@5 71.875 (67.629) Epoch: [21][260/10010] Time 0.335 (0.339) Data 0.001 (0.011) Loss 2.6384 (2.6460) Prec@1 42.188 (42.481) Prec@5 69.531 (67.660) Epoch: [21][270/10010] Time 0.327 (0.339) Data 0.001 (0.010) Loss 2.6759 (2.6425) Prec@1 42.188 (42.562) Prec@5 65.625 (67.698) Epoch: [21][280/10010] Time 0.329 (0.339) Data 0.000 (0.010) Loss 2.9351 (2.6418) Prec@1 39.062 (42.671) Prec@5 64.062 (67.752) Epoch: [21][290/10010] Time 0.319 (0.338) Data 0.001 (0.010) Loss 2.8346 (2.6422) Prec@1 35.938 (42.690) Prec@5 65.625 (67.743) Epoch: [21][300/10010] Time 0.333 (0.338) Data 0.000 (0.009) Loss 2.5683 (2.6420) Prec@1 41.406 (42.652) Prec@5 68.750 (67.717) Epoch: [21][310/10010] Time 0.331 (0.338) Data 0.001 (0.009) Loss 2.7632 (2.6394) Prec@1 40.625 (42.718) Prec@5 64.062 (67.740) /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: [21][320/10010] Time 0.333 (0.338) Data 0.000 (0.009) Loss 2.6684 (2.6362) Prec@1 39.844 (42.762) Prec@5 71.094 (67.852) Epoch: [21][330/10010] Time 0.329 (0.337) Data 0.001 (0.009) Loss 2.5848 (2.6352) Prec@1 44.531 (42.785) Prec@5 66.406 (67.841) Epoch: [21][340/10010] Time 0.326 (0.337) Data 0.001 (0.008) Loss 2.5908 (2.6355) Prec@1 44.531 (42.799) Prec@5 68.750 (67.834) Epoch: [21][350/10010] Time 0.331 (0.337) Data 0.000 (0.008) Loss 2.6509 (2.6358) Prec@1 45.312 (42.800) Prec@5 68.750 (67.831) Epoch: [21][360/10010] Time 0.338 (0.336) Data 0.001 (0.008) Loss 2.3683 (2.6388) Prec@1 44.531 (42.772) Prec@5 72.656 (67.787) Epoch: [21][370/10010] Time 0.332 (0.336) Data 0.001 (0.008) Loss 2.2400 (2.6373) Prec@1 51.562 (42.796) Prec@5 77.344 (67.849) Epoch: [21][380/10010] Time 0.322 (0.336) Data 0.001 (0.008) Loss 2.8477 (2.6407) Prec@1 46.875 (42.760) Prec@5 63.281 (67.811) Epoch: [21][390/10010] Time 0.333 (0.336) Data 0.000 (0.007) Loss 2.9849 (2.6430) Prec@1 38.281 (42.747) Prec@5 60.156 (67.759) Epoch: [21][400/10010] Time 0.317 (0.336) Data 0.001 (0.007) Loss 2.2677 (2.6443) Prec@1 44.531 (42.712) Prec@5 76.562 (67.788) Epoch: [21][410/10010] Time 0.328 (0.336) Data 0.000 (0.007) Loss 2.8115 (2.6433) Prec@1 40.625 (42.725) Prec@5 64.844 (67.815) Epoch: [21][420/10010] Time 0.324 (0.336) Data 0.000 (0.007) Loss 2.8963 (2.6449) Prec@1 33.594 (42.683) Prec@5 64.844 (67.791) Epoch: [21][430/10010] Time 0.320 (0.335) Data 0.001 (0.007) Loss 2.4571 (2.6452) Prec@1 46.875 (42.699) Prec@5 73.438 (67.822) Epoch: [21][440/10010] Time 0.340 (0.335) Data 0.000 (0.007) Loss 2.7848 (2.6422) Prec@1 43.750 (42.758) Prec@5 71.094 (67.875) Epoch: [21][450/10010] Time 0.347 (0.335) Data 0.000 (0.007) Loss 2.3999 (2.6419) Prec@1 50.000 (42.754) Prec@5 74.219 (67.868) Epoch: [21][460/10010] Time 0.342 (0.335) Data 0.000 (0.006) Loss 2.7792 (2.6432) Prec@1 37.500 (42.731) Prec@5 67.969 (67.874) Epoch: [21][470/10010] Time 0.344 (0.335) Data 0.001 (0.006) Loss 2.8553 (2.6438) Prec@1 39.844 (42.723) Prec@5 65.625 (67.846) Epoch: [21][480/10010] Time 0.325 (0.335) Data 0.001 (0.006) Loss 2.9398 (2.6437) Prec@1 39.062 (42.751) Prec@5 62.500 (67.883) Epoch: [21][490/10010] Time 0.322 (0.335) Data 0.001 (0.006) Loss 2.7179 (2.6464) Prec@1 38.281 (42.706) Prec@5 67.969 (67.849) Epoch: [21][500/10010] Time 0.333 (0.335) Data 0.000 (0.006) Loss 2.6887 (2.6466) Prec@1 45.312 (42.699) Prec@5 64.844 (67.866) Epoch: [21][510/10010] Time 0.342 (0.335) Data 0.000 (0.006) Loss 2.6645 (2.6483) Prec@1 42.969 (42.648) Prec@5 74.219 (67.839) Epoch: [21][520/10010] Time 0.346 (0.335) Data 0.001 (0.006) Loss 2.7814 (2.6498) Prec@1 39.844 (42.606) Prec@5 60.938 (67.813) Epoch: [21][530/10010] Time 0.317 (0.335) Data 0.000 (0.006) Loss 2.4956 (2.6507) Prec@1 43.750 (42.607) Prec@5 67.969 (67.795) Epoch: [21][540/10010] Time 0.332 (0.335) Data 0.000 (0.006) Loss 2.9852 (2.6492) Prec@1 32.031 (42.625) Prec@5 63.281 (67.837) Epoch: [21][550/10010] Time 0.341 (0.335) Data 0.000 (0.005) Loss 2.3429 (2.6480) Prec@1 47.656 (42.630) Prec@5 67.969 (67.834) Epoch: [21][560/10010] Time 0.313 (0.335) Data 0.001 (0.005) Loss 2.6875 (2.6488) Prec@1 40.625 (42.630) Prec@5 68.750 (67.842) Epoch: [21][570/10010] Time 0.339 (0.335) Data 0.000 (0.005) Loss 2.3479 (2.6477) Prec@1 46.875 (42.640) Prec@5 70.312 (67.868) Epoch: [21][580/10010] Time 0.324 (0.335) Data 0.001 (0.005) Loss 3.0752 (2.6472) Prec@1 35.156 (42.630) Prec@5 59.375 (67.875) Epoch: [21][590/10010] Time 0.339 (0.334) Data 0.001 (0.005) Loss 2.9141 (2.6485) Prec@1 41.406 (42.609) Prec@5 65.625 (67.859) Epoch: [21][600/10010] Time 0.333 (0.334) Data 0.001 (0.005) Loss 2.8842 (2.6487) Prec@1 43.750 (42.631) Prec@5 59.375 (67.840) Epoch: [21][610/10010] Time 0.332 (0.334) Data 0.001 (0.005) Loss 2.7789 (2.6491) Prec@1 41.406 (42.606) Prec@5 66.406 (67.836) Epoch: [21][620/10010] Time 0.324 (0.334) Data 0.000 (0.005) Loss 2.3495 (2.6487) Prec@1 44.531 (42.583) Prec@5 75.781 (67.861) Epoch: [21][630/10010] Time 0.335 (0.334) Data 0.001 (0.005) Loss 2.6955 (2.6488) Prec@1 40.625 (42.564) Prec@5 68.750 (67.862) Epoch: [21][640/10010] Time 0.346 (0.334) Data 0.001 (0.005) Loss 2.7098 (2.6487) Prec@1 41.406 (42.588) Prec@5 67.188 (67.871) Epoch: [21][650/10010] Time 0.331 (0.334) Data 0.001 (0.005) Loss 2.5532 (2.6481) Prec@1 46.875 (42.602) Prec@5 67.188 (67.868) Epoch: [21][660/10010] Time 0.345 (0.334) Data 0.000 (0.005) Loss 3.0601 (2.6493) Prec@1 32.812 (42.582) Prec@5 59.375 (67.860) Epoch: [21][670/10010] Time 0.319 (0.334) Data 0.001 (0.005) Loss 2.7293 (2.6498) Prec@1 41.406 (42.580) Prec@5 64.844 (67.842) Epoch: [21][680/10010] Time 0.316 (0.334) Data 0.001 (0.005) Loss 2.1465 (2.6483) Prec@1 53.906 (42.581) Prec@5 74.219 (67.854) Epoch: [21][690/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.9207 (2.6494) Prec@1 34.375 (42.558) Prec@5 63.281 (67.843) Epoch: [21][700/10010] Time 0.333 (0.334) Data 0.001 (0.004) Loss 2.7599 (2.6494) Prec@1 44.531 (42.537) Prec@5 64.844 (67.831) Epoch: [21][710/10010] Time 0.327 (0.334) Data 0.000 (0.004) Loss 2.4700 (2.6494) Prec@1 46.094 (42.574) Prec@5 73.438 (67.822) Epoch: [21][720/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 2.5149 (2.6487) Prec@1 42.188 (42.600) Prec@5 71.875 (67.832) Epoch: [21][730/10010] Time 0.341 (0.334) Data 0.000 (0.004) Loss 2.5006 (2.6477) Prec@1 45.312 (42.639) Prec@5 75.000 (67.849) Epoch: [21][740/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 2.5717 (2.6470) Prec@1 42.188 (42.659) Prec@5 67.188 (67.875) Epoch: [21][750/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.6078 (2.6469) Prec@1 43.750 (42.664) Prec@5 64.844 (67.881) Epoch: [21][760/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.9093 (2.6487) Prec@1 38.281 (42.628) Prec@5 66.406 (67.859) Epoch: [21][770/10010] Time 0.332 (0.334) Data 0.001 (0.004) Loss 2.1493 (2.6470) Prec@1 53.125 (42.659) Prec@5 77.344 (67.887) Epoch: [21][780/10010] Time 0.338 (0.334) Data 0.000 (0.004) Loss 2.2980 (2.6457) Prec@1 46.875 (42.687) Prec@5 70.312 (67.928) Epoch: [21][790/10010] Time 0.341 (0.334) Data 0.001 (0.004) Loss 3.1286 (2.6472) Prec@1 39.844 (42.645) Prec@5 64.062 (67.918) Epoch: [21][800/10010] Time 0.318 (0.334) Data 0.001 (0.004) Loss 2.7801 (2.6470) Prec@1 39.844 (42.659) Prec@5 67.188 (67.950) Epoch: [21][810/10010] Time 0.322 (0.334) Data 0.000 (0.004) Loss 2.4402 (2.6463) Prec@1 46.094 (42.679) Prec@5 66.406 (67.954) Epoch: [21][820/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.8795 (2.6457) Prec@1 39.062 (42.700) Prec@5 61.719 (67.972) Epoch: [21][830/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 2.6731 (2.6457) Prec@1 46.094 (42.724) Prec@5 70.312 (67.975) Epoch: [21][840/10010] Time 0.342 (0.334) Data 0.000 (0.004) Loss 2.6055 (2.6456) Prec@1 38.281 (42.731) Prec@5 66.406 (67.972) Epoch: [21][850/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 2.6487 (2.6465) Prec@1 45.312 (42.724) Prec@5 67.969 (67.960) Epoch: [21][860/10010] Time 0.332 (0.333) Data 0.003 (0.004) Loss 2.2823 (2.6449) Prec@1 46.875 (42.740) Prec@5 72.656 (67.999) Epoch: [21][870/10010] Time 0.328 (0.333) Data 0.001 (0.004) Loss 2.8197 (2.6464) Prec@1 43.750 (42.704) Prec@5 66.406 (67.962) Epoch: [21][880/10010] Time 0.334 (0.333) Data 0.001 (0.004) Loss 2.8835 (2.6471) Prec@1 39.844 (42.704) Prec@5 68.750 (67.952) Epoch: [21][890/10010] Time 0.333 (0.334) Data 0.001 (0.004) Loss 2.4613 (2.6472) Prec@1 41.406 (42.692) Prec@5 69.531 (67.935) Epoch: [21][900/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 2.9882 (2.6468) Prec@1 34.375 (42.699) Prec@5 63.281 (67.943) Epoch: [21][910/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 3.0752 (2.6475) Prec@1 38.281 (42.699) Prec@5 60.938 (67.924) Epoch: [21][920/10010] Time 0.328 (0.333) Data 0.001 (0.004) Loss 3.1523 (2.6476) Prec@1 38.281 (42.699) Prec@5 60.938 (67.922) Epoch: [21][930/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.8963 (2.6487) Prec@1 38.281 (42.684) Prec@5 67.969 (67.896) Epoch: [21][940/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.7027 (2.6483) Prec@1 45.312 (42.691) Prec@5 68.750 (67.906) Epoch: [21][950/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.4954 (2.6479) Prec@1 43.750 (42.691) Prec@5 70.312 (67.916) Epoch: [21][960/10010] Time 0.347 (0.333) Data 0.000 (0.003) Loss 2.4502 (2.6468) Prec@1 47.656 (42.704) Prec@5 72.656 (67.939) Epoch: [21][970/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 2.8065 (2.6468) Prec@1 44.531 (42.697) Prec@5 65.625 (67.943) Epoch: [21][980/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 2.6495 (2.6473) Prec@1 44.531 (42.688) Prec@5 66.406 (67.931) Epoch: [21][990/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 3.0869 (2.6473) Prec@1 37.500 (42.698) Prec@5 61.719 (67.929) Epoch: [21][1000/10010] Time 0.347 (0.333) Data 0.001 (0.003) Loss 3.0341 (2.6474) Prec@1 35.938 (42.695) Prec@5 60.156 (67.922) Epoch: [21][1010/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.4016 (2.6474) Prec@1 45.312 (42.681) Prec@5 70.312 (67.921) Epoch: [21][1020/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.7583 (2.6481) Prec@1 40.625 (42.673) Prec@5 64.062 (67.911) Epoch: [21][1030/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.1404 (2.6473) Prec@1 50.000 (42.684) Prec@5 74.219 (67.923) Epoch: [21][1040/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.2093 (2.6459) Prec@1 47.656 (42.710) Prec@5 75.781 (67.951) Epoch: [21][1050/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 2.3608 (2.6466) Prec@1 46.875 (42.697) Prec@5 75.781 (67.937) Epoch: [21][1060/10010] Time 0.344 (0.333) Data 0.000 (0.003) Loss 2.5835 (2.6467) Prec@1 43.750 (42.696) Prec@5 68.750 (67.936) Epoch: [21][1070/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.8517 (2.6469) Prec@1 39.062 (42.695) Prec@5 62.500 (67.923) Epoch: [21][1080/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.5193 (2.6457) Prec@1 46.875 (42.709) Prec@5 69.531 (67.935) Epoch: [21][1090/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.6033 (2.6457) Prec@1 40.625 (42.697) Prec@5 70.312 (67.931) Epoch: [21][1100/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.5909 (2.6459) Prec@1 42.188 (42.683) Prec@5 67.969 (67.918) Epoch: [21][1110/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 2.8576 (2.6456) Prec@1 39.844 (42.690) Prec@5 63.281 (67.930) Epoch: [21][1120/10010] Time 0.315 (0.333) Data 0.001 (0.003) Loss 2.7288 (2.6451) Prec@1 39.844 (42.699) Prec@5 63.281 (67.932) Epoch: [21][1130/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 2.5576 (2.6452) Prec@1 44.531 (42.698) Prec@5 69.531 (67.925) Epoch: [21][1140/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.6936 (2.6452) Prec@1 44.531 (42.707) Prec@5 69.531 (67.918) Epoch: [21][1150/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.7422 (2.6452) Prec@1 45.312 (42.713) Prec@5 64.062 (67.917) Epoch: [21][1160/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.8150 (2.6454) Prec@1 37.500 (42.711) Prec@5 69.531 (67.926) Epoch: [21][1170/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 2.8176 (2.6452) Prec@1 36.719 (42.717) Prec@5 64.844 (67.925) Epoch: [21][1180/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.5560 (2.6457) Prec@1 44.531 (42.704) Prec@5 74.219 (67.920) Epoch: [21][1190/10010] Time 0.344 (0.333) Data 0.000 (0.003) Loss 2.5876 (2.6456) Prec@1 45.312 (42.715) Prec@5 68.750 (67.915) Epoch: [21][1200/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 2.4748 (2.6452) Prec@1 47.656 (42.717) Prec@5 72.656 (67.921) Epoch: [21][1210/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.5725 (2.6448) Prec@1 48.438 (42.743) Prec@5 68.750 (67.922) Epoch: [21][1220/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.6201 (2.6453) Prec@1 42.188 (42.738) Prec@5 70.312 (67.914) Epoch: [21][1230/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 2.7291 (2.6450) Prec@1 40.625 (42.740) Prec@5 66.406 (67.922) Epoch: [21][1240/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.4513 (2.6445) Prec@1 46.875 (42.752) Prec@5 72.656 (67.935) Epoch: [21][1250/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 2.7197 (2.6455) Prec@1 50.000 (42.736) Prec@5 61.719 (67.909) Epoch: [21][1260/10010] Time 0.312 (0.333) Data 0.001 (0.003) Loss 2.7053 (2.6466) Prec@1 41.406 (42.717) Prec@5 65.625 (67.884) Epoch: [21][1270/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.5407 (2.6466) Prec@1 44.531 (42.732) Prec@5 69.531 (67.883) Epoch: [21][1280/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.8395 (2.6464) Prec@1 35.156 (42.737) Prec@5 64.844 (67.882) Epoch: [21][1290/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.4941 (2.6468) Prec@1 48.438 (42.733) Prec@5 71.875 (67.880) Epoch: [21][1300/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.6858 (2.6467) Prec@1 39.062 (42.727) Prec@5 68.750 (67.895) Epoch: [21][1310/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.9112 (2.6470) Prec@1 34.375 (42.726) Prec@5 62.500 (67.888) Epoch: [21][1320/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.5083 (2.6475) Prec@1 43.750 (42.717) Prec@5 71.875 (67.871) Epoch: [21][1330/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 2.7705 (2.6478) Prec@1 36.719 (42.717) Prec@5 64.844 (67.858) Epoch: [21][1340/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 2.5954 (2.6487) Prec@1 40.625 (42.699) Prec@5 68.750 (67.840) Epoch: [21][1350/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.3524 (2.6489) Prec@1 50.000 (42.693) Prec@5 74.219 (67.845) Epoch: [21][1360/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.6301 (2.6491) Prec@1 49.219 (42.692) Prec@5 70.312 (67.840) Epoch: [21][1370/10010] Time 0.348 (0.333) Data 0.001 (0.003) Loss 2.2466 (2.6494) Prec@1 46.094 (42.676) Prec@5 73.438 (67.829) Epoch: [21][1380/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.4005 (2.6493) Prec@1 47.656 (42.672) Prec@5 71.094 (67.827) Epoch: [21][1390/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 2.6471 (2.6486) Prec@1 42.188 (42.681) Prec@5 68.750 (67.843) Epoch: [21][1400/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 2.6270 (2.6494) Prec@1 44.531 (42.679) Prec@5 64.062 (67.818) Epoch: [21][1410/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 2.9715 (2.6498) Prec@1 38.281 (42.681) Prec@5 61.719 (67.802) Epoch: [21][1420/10010] Time 0.338 (0.333) Data 0.000 (0.003) Loss 2.2029 (2.6492) Prec@1 48.438 (42.690) Prec@5 76.562 (67.814) Epoch: [21][1430/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.5444 (2.6485) Prec@1 45.312 (42.712) Prec@5 69.531 (67.826) Epoch: [21][1440/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.4530 (2.6482) Prec@1 43.750 (42.710) Prec@5 68.750 (67.825) Epoch: [21][1450/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.4774 (2.6483) Prec@1 47.656 (42.719) Prec@5 70.312 (67.824) Epoch: [21][1460/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.8597 (2.6488) Prec@1 35.938 (42.706) Prec@5 62.500 (67.813) Epoch: [21][1470/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.7292 (2.6489) Prec@1 42.969 (42.714) Prec@5 64.062 (67.806) Epoch: [21][1480/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.5500 (2.6494) Prec@1 43.750 (42.716) Prec@5 71.094 (67.799) Epoch: [21][1490/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.6022 (2.6489) Prec@1 43.750 (42.715) Prec@5 69.531 (67.807) Epoch: [21][1500/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.7387 (2.6492) Prec@1 44.531 (42.728) Prec@5 67.188 (67.809) Epoch: [21][1510/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.3601 (2.6495) Prec@1 45.312 (42.722) Prec@5 75.000 (67.798) Epoch: [21][1520/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.5326 (2.6494) Prec@1 47.656 (42.734) Prec@5 68.750 (67.793) Epoch: [21][1530/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.8950 (2.6500) Prec@1 38.281 (42.714) Prec@5 63.281 (67.790) Epoch: [21][1540/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.4771 (2.6498) Prec@1 43.750 (42.720) Prec@5 70.312 (67.793) Epoch: [21][1550/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.8451 (2.6490) Prec@1 41.406 (42.727) Prec@5 63.281 (67.806) Epoch: [21][1560/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.4026 (2.6488) Prec@1 53.906 (42.738) Prec@5 71.875 (67.817) Epoch: [21][1570/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.0717 (2.6500) Prec@1 37.500 (42.711) Prec@5 56.250 (67.788) Epoch: [21][1580/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.8306 (2.6498) Prec@1 38.281 (42.726) Prec@5 69.531 (67.797) Epoch: [21][1590/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.4624 (2.6498) Prec@1 46.094 (42.723) Prec@5 70.312 (67.790) Epoch: [21][1600/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.7719 (2.6496) Prec@1 45.312 (42.717) Prec@5 65.625 (67.799) Epoch: [21][1610/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.6691 (2.6497) Prec@1 46.875 (42.718) Prec@5 70.312 (67.802) Epoch: [21][1620/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.5248 (2.6498) Prec@1 47.656 (42.724) Prec@5 70.312 (67.794) Epoch: [21][1630/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7937 (2.6503) Prec@1 38.281 (42.719) Prec@5 62.500 (67.785) /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: [21][1640/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6477 (2.6505) Prec@1 45.312 (42.721) Prec@5 69.531 (67.781) Epoch: [21][1650/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.5789 (2.6507) Prec@1 42.188 (42.718) Prec@5 67.969 (67.782) Epoch: [21][1660/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.8417 (2.6509) Prec@1 39.062 (42.715) Prec@5 65.625 (67.777) Epoch: [21][1670/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.9007 (2.6505) Prec@1 44.531 (42.730) Prec@5 69.531 (67.790) Epoch: [21][1680/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.5371 (2.6510) Prec@1 43.750 (42.724) Prec@5 71.094 (67.789) Epoch: [21][1690/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.5742 (2.6508) Prec@1 41.406 (42.723) Prec@5 67.188 (67.789) Epoch: [21][1700/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.6861 (2.6513) Prec@1 43.750 (42.723) Prec@5 67.188 (67.783) Epoch: [21][1710/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.0687 (2.6514) Prec@1 34.375 (42.724) Prec@5 60.938 (67.783) Epoch: [21][1720/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.7639 (2.6510) Prec@1 39.844 (42.723) Prec@5 67.188 (67.793) Epoch: [21][1730/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.5210 (2.6508) Prec@1 43.750 (42.722) Prec@5 67.188 (67.792) Epoch: [21][1740/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5284 (2.6507) Prec@1 42.188 (42.717) Prec@5 71.094 (67.796) Epoch: [21][1750/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.6625 (2.6508) Prec@1 39.844 (42.704) Prec@5 67.969 (67.790) Epoch: [21][1760/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5644 (2.6503) Prec@1 46.094 (42.716) Prec@5 72.656 (67.797) Epoch: [21][1770/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.7383 (2.6501) Prec@1 37.500 (42.702) Prec@5 65.625 (67.800) Epoch: [21][1780/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.3960 (2.6499) Prec@1 45.312 (42.703) Prec@5 71.875 (67.804) Epoch: [21][1790/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8248 (2.6506) Prec@1 38.281 (42.694) Prec@5 65.625 (67.797) Epoch: [21][1800/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.9407 (2.6511) Prec@1 40.625 (42.685) Prec@5 60.938 (67.786) Epoch: [21][1810/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.5154 (2.6509) Prec@1 46.094 (42.689) Prec@5 72.656 (67.790) Epoch: [21][1820/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.8209 (2.6513) Prec@1 37.500 (42.686) Prec@5 67.188 (67.786) Epoch: [21][1830/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.0532 (2.6512) Prec@1 39.062 (42.689) Prec@5 64.844 (67.787) Epoch: [21][1840/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8199 (2.6522) Prec@1 46.875 (42.677) Prec@5 66.406 (67.768) Epoch: [21][1850/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.4457 (2.6517) Prec@1 46.094 (42.681) Prec@5 70.312 (67.777) Epoch: [21][1860/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 3.2808 (2.6526) Prec@1 28.906 (42.663) Prec@5 53.125 (67.754) Epoch: [21][1870/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.6397 (2.6527) Prec@1 39.844 (42.660) Prec@5 72.656 (67.759) Epoch: [21][1880/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7110 (2.6529) Prec@1 42.969 (42.655) Prec@5 71.875 (67.757) Epoch: [21][1890/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.5114 (2.6526) Prec@1 44.531 (42.654) Prec@5 71.094 (67.763) Epoch: [21][1900/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8859 (2.6522) Prec@1 36.719 (42.659) Prec@5 67.969 (67.771) Epoch: [21][1910/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.7808 (2.6524) Prec@1 43.750 (42.652) Prec@5 62.500 (67.765) Epoch: [21][1920/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.8548 (2.6530) Prec@1 41.406 (42.645) Prec@5 62.500 (67.748) Epoch: [21][1930/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.5871 (2.6529) Prec@1 46.875 (42.649) Prec@5 67.969 (67.744) Epoch: [21][1940/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.5596 (2.6530) Prec@1 36.719 (42.643) Prec@5 65.625 (67.737) Epoch: [21][1950/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.7822 (2.6534) Prec@1 42.969 (42.637) Prec@5 60.938 (67.724) Epoch: [21][1960/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.6849 (2.6534) Prec@1 42.969 (42.635) Prec@5 67.969 (67.725) Epoch: [21][1970/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.9146 (2.6537) Prec@1 38.281 (42.635) Prec@5 63.281 (67.715) Epoch: [21][1980/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.6033 (2.6541) Prec@1 44.531 (42.641) Prec@5 65.625 (67.704) Epoch: [21][1990/10010] Time 0.349 (0.332) Data 0.001 (0.002) Loss 2.6748 (2.6541) Prec@1 41.406 (42.649) Prec@5 69.531 (67.705) Epoch: [21][2000/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.7497 (2.6544) Prec@1 43.750 (42.642) Prec@5 69.531 (67.701) Epoch: [21][2010/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7315 (2.6549) Prec@1 42.188 (42.638) Prec@5 67.188 (67.695) Epoch: [21][2020/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.4804 (2.6547) Prec@1 45.312 (42.639) Prec@5 73.438 (67.700) Epoch: [21][2030/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5904 (2.6549) Prec@1 40.625 (42.632) Prec@5 69.531 (67.696) Epoch: [21][2040/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.6469 (2.6547) Prec@1 45.312 (42.634) Prec@5 67.188 (67.698) Epoch: [21][2050/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6512 (2.6549) Prec@1 39.844 (42.631) Prec@5 64.062 (67.685) Epoch: [21][2060/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.5895 (2.6546) Prec@1 44.531 (42.636) Prec@5 67.188 (67.687) Epoch: [21][2070/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.7103 (2.6545) Prec@1 49.219 (42.642) Prec@5 67.188 (67.685) Epoch: [21][2080/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5909 (2.6548) Prec@1 46.875 (42.633) Prec@5 67.188 (67.677) Epoch: [21][2090/10010] Time 0.351 (0.332) Data 0.001 (0.002) Loss 2.6731 (2.6548) Prec@1 41.406 (42.640) Prec@5 67.188 (67.674) Epoch: [21][2100/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.4814 (2.6544) Prec@1 41.406 (42.642) Prec@5 69.531 (67.683) Epoch: [21][2110/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.7443 (2.6542) Prec@1 40.625 (42.644) Prec@5 67.969 (67.690) Epoch: [21][2120/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.6241 (2.6543) Prec@1 43.750 (42.641) Prec@5 67.188 (67.690) Epoch: [21][2130/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.4848 (2.6540) Prec@1 42.188 (42.639) Prec@5 68.750 (67.693) Epoch: [21][2140/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.4283 (2.6537) Prec@1 45.312 (42.639) Prec@5 71.094 (67.703) Epoch: [21][2150/10010] Time 0.351 (0.332) Data 0.000 (0.002) Loss 2.3162 (2.6538) Prec@1 43.750 (42.635) Prec@5 71.875 (67.702) Epoch: [21][2160/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.5385 (2.6543) Prec@1 46.094 (42.627) Prec@5 71.094 (67.689) Epoch: [21][2170/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8136 (2.6550) Prec@1 44.531 (42.619) Prec@5 64.844 (67.678) Epoch: [21][2180/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.5303 (2.6554) Prec@1 44.531 (42.616) Prec@5 69.531 (67.672) Epoch: [21][2190/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.7760 (2.6549) Prec@1 41.406 (42.623) Prec@5 60.156 (67.679) Epoch: [21][2200/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.5475 (2.6550) Prec@1 45.312 (42.620) Prec@5 66.406 (67.672) Epoch: [21][2210/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.3963 (2.6550) Prec@1 44.531 (42.616) Prec@5 74.219 (67.672) Epoch: [21][2220/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.4221 (2.6545) Prec@1 44.531 (42.626) Prec@5 68.750 (67.680) Epoch: [21][2230/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.4446 (2.6549) Prec@1 40.625 (42.625) Prec@5 68.750 (67.667) Epoch: [21][2240/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.9058 (2.6551) Prec@1 42.188 (42.618) Prec@5 63.281 (67.662) Epoch: [21][2250/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.4745 (2.6551) Prec@1 42.969 (42.615) Prec@5 74.219 (67.662) Epoch: [21][2260/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.4843 (2.6559) Prec@1 44.531 (42.609) Prec@5 70.312 (67.645) Epoch: [21][2270/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.5756 (2.6560) Prec@1 43.750 (42.609) Prec@5 67.969 (67.642) Epoch: [21][2280/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.7272 (2.6563) Prec@1 40.625 (42.604) Prec@5 66.406 (67.642) Epoch: [21][2290/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.7413 (2.6565) Prec@1 38.281 (42.597) Prec@5 65.625 (67.636) Epoch: [21][2300/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.2796 (2.6557) Prec@1 52.344 (42.612) Prec@5 75.000 (67.652) Epoch: [21][2310/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.6517 (2.6561) Prec@1 39.844 (42.608) Prec@5 70.312 (67.643) Epoch: [21][2320/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.5447 (2.6559) Prec@1 43.750 (42.613) Prec@5 65.625 (67.649) Epoch: [21][2330/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6174 (2.6562) Prec@1 46.875 (42.612) Prec@5 64.062 (67.640) Epoch: [21][2340/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 3.1143 (2.6565) Prec@1 34.375 (42.606) Prec@5 57.812 (67.628) Epoch: [21][2350/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.1402 (2.6560) Prec@1 50.000 (42.619) Prec@5 77.344 (67.640) Epoch: [21][2360/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6629 (2.6563) Prec@1 41.406 (42.610) Prec@5 66.406 (67.635) Epoch: [21][2370/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5832 (2.6563) Prec@1 47.656 (42.615) Prec@5 71.875 (67.636) Epoch: [21][2380/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.9049 (2.6564) Prec@1 38.281 (42.617) Prec@5 64.844 (67.637) Epoch: [21][2390/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.9105 (2.6566) Prec@1 41.406 (42.615) Prec@5 65.625 (67.636) Epoch: [21][2400/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 2.4481 (2.6571) Prec@1 48.438 (42.608) Prec@5 71.094 (67.631) Epoch: [21][2410/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.9092 (2.6572) Prec@1 35.156 (42.611) Prec@5 63.281 (67.630) Epoch: [21][2420/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 3.2118 (2.6575) Prec@1 37.500 (42.602) Prec@5 64.062 (67.626) Epoch: [21][2430/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.9256 (2.6578) Prec@1 32.812 (42.598) Prec@5 60.938 (67.626) Epoch: [21][2440/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.9726 (2.6577) Prec@1 34.375 (42.598) Prec@5 67.188 (67.625) Epoch: [21][2450/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.8207 (2.6577) Prec@1 35.156 (42.592) Prec@5 65.625 (67.627) Epoch: [21][2460/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8766 (2.6582) Prec@1 35.938 (42.589) Prec@5 59.375 (67.626) Epoch: [21][2470/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.6152 (2.6585) Prec@1 39.844 (42.581) Prec@5 68.750 (67.620) Epoch: [21][2480/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.1161 (2.6582) Prec@1 53.125 (42.587) Prec@5 75.781 (67.626) Epoch: [21][2490/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.9826 (2.6583) Prec@1 33.594 (42.585) Prec@5 63.281 (67.624) Epoch: [21][2500/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.9708 (2.6585) Prec@1 39.062 (42.585) Prec@5 67.188 (67.627) Epoch: [21][2510/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.7054 (2.6584) Prec@1 39.844 (42.594) Prec@5 69.531 (67.631) Epoch: [21][2520/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.3782 (2.6586) Prec@1 46.094 (42.587) Prec@5 71.094 (67.628) Epoch: [21][2530/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.7061 (2.6590) Prec@1 45.312 (42.581) Prec@5 70.312 (67.623) Epoch: [21][2540/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8417 (2.6590) Prec@1 39.844 (42.580) Prec@5 60.938 (67.622) Epoch: [21][2550/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.6624 (2.6591) Prec@1 40.625 (42.576) Prec@5 64.844 (67.620) Epoch: [21][2560/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.3881 (2.6592) Prec@1 48.438 (42.572) Prec@5 71.875 (67.622) Epoch: [21][2570/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.9250 (2.6592) Prec@1 38.281 (42.572) Prec@5 63.281 (67.621) Epoch: [21][2580/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.7002 (2.6593) Prec@1 39.062 (42.569) Prec@5 66.406 (67.617) Epoch: [21][2590/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6417 (2.6597) Prec@1 42.969 (42.563) Prec@5 68.750 (67.613) Epoch: [21][2600/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.6312 (2.6595) Prec@1 42.188 (42.568) Prec@5 65.625 (67.618) Epoch: [21][2610/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.8711 (2.6601) Prec@1 37.500 (42.555) Prec@5 60.938 (67.605) Epoch: [21][2620/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.3437 (2.6604) Prec@1 47.656 (42.549) Prec@5 72.656 (67.596) Epoch: [21][2630/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.7128 (2.6603) Prec@1 43.750 (42.549) Prec@5 66.406 (67.597) Epoch: [21][2640/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.8877 (2.6601) Prec@1 39.062 (42.547) Prec@5 67.188 (67.603) Epoch: [21][2650/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.5431 (2.6602) Prec@1 48.438 (42.547) Prec@5 65.625 (67.602) Epoch: [21][2660/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.5868 (2.6599) Prec@1 44.531 (42.554) Prec@5 66.406 (67.612) Epoch: [21][2670/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.1796 (2.6598) Prec@1 39.844 (42.556) Prec@5 61.719 (67.617) Epoch: [21][2680/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.5825 (2.6598) Prec@1 45.312 (42.553) Prec@5 70.312 (67.619) Epoch: [21][2690/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.8785 (2.6601) Prec@1 42.969 (42.551) Prec@5 62.500 (67.614) Epoch: [21][2700/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.4273 (2.6597) Prec@1 49.219 (42.553) Prec@5 69.531 (67.620) Epoch: [21][2710/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5023 (2.6595) Prec@1 44.531 (42.560) Prec@5 73.438 (67.626) Epoch: [21][2720/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.5958 (2.6591) Prec@1 45.312 (42.573) Prec@5 71.094 (67.629) Epoch: [21][2730/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.2600 (2.6585) Prec@1 48.438 (42.579) Prec@5 69.531 (67.642) Epoch: [21][2740/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 3.0146 (2.6589) Prec@1 39.844 (42.575) Prec@5 62.500 (67.631) /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: [21][2750/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.4244 (2.6592) Prec@1 46.094 (42.573) Prec@5 75.781 (67.630) Epoch: [21][2760/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.5084 (2.6594) Prec@1 42.969 (42.564) Prec@5 69.531 (67.625) Epoch: [21][2770/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.5532 (2.6595) Prec@1 45.312 (42.564) Prec@5 69.531 (67.621) Epoch: [21][2780/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8841 (2.6600) Prec@1 39.844 (42.557) Prec@5 64.844 (67.615) Epoch: [21][2790/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.2531 (2.6600) Prec@1 50.781 (42.557) Prec@5 75.000 (67.610) Epoch: [21][2800/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 3.0450 (2.6601) Prec@1 39.844 (42.555) Prec@5 58.594 (67.603) Epoch: [21][2810/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.5294 (2.6600) Prec@1 41.406 (42.557) Prec@5 72.656 (67.610) Epoch: [21][2820/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.2232 (2.6601) Prec@1 51.562 (42.558) Prec@5 75.000 (67.614) Epoch: [21][2830/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5258 (2.6600) Prec@1 42.188 (42.555) Prec@5 71.094 (67.619) Epoch: [21][2840/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.5691 (2.6602) Prec@1 46.875 (42.551) Prec@5 71.094 (67.616) Epoch: [21][2850/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.8187 (2.6605) Prec@1 44.531 (42.548) Prec@5 65.625 (67.615) Epoch: [21][2860/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 2.6401 (2.6605) Prec@1 43.750 (42.545) Prec@5 67.969 (67.612) Epoch: [21][2870/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.8082 (2.6602) Prec@1 37.500 (42.553) Prec@5 64.844 (67.622) Epoch: [21][2880/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8369 (2.6606) Prec@1 35.938 (42.544) Prec@5 65.625 (67.618) Epoch: [21][2890/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.8578 (2.6608) Prec@1 40.625 (42.537) Prec@5 64.062 (67.617) Epoch: [21][2900/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.8254 (2.6609) Prec@1 39.062 (42.536) Prec@5 67.188 (67.612) Epoch: [21][2910/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.8227 (2.6612) Prec@1 42.969 (42.536) Prec@5 64.062 (67.601) Epoch: [21][2920/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.8126 (2.6611) Prec@1 41.406 (42.538) Prec@5 67.188 (67.602) Epoch: [21][2930/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7412 (2.6613) Prec@1 46.875 (42.540) Prec@5 69.531 (67.600) Epoch: [21][2940/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.7737 (2.6610) Prec@1 42.969 (42.553) Prec@5 67.969 (67.606) Epoch: [21][2950/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7433 (2.6610) Prec@1 44.531 (42.556) Prec@5 67.969 (67.607) Epoch: [21][2960/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.7709 (2.6612) Prec@1 35.938 (42.550) Prec@5 67.969 (67.605) Epoch: [21][2970/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5802 (2.6610) Prec@1 47.656 (42.552) Prec@5 67.969 (67.609) Epoch: [21][2980/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 2.5586 (2.6607) Prec@1 45.312 (42.561) Prec@5 68.750 (67.620) Epoch: [21][2990/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.5605 (2.6605) Prec@1 43.750 (42.562) Prec@5 68.750 (67.627) Epoch: [21][3000/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5714 (2.6603) Prec@1 42.969 (42.571) Prec@5 68.750 (67.630) Epoch: [21][3010/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.4368 (2.6600) Prec@1 50.000 (42.575) Prec@5 72.656 (67.632) Epoch: [21][3020/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6647 (2.6596) Prec@1 37.500 (42.580) Prec@5 62.500 (67.634) Epoch: [21][3030/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.8502 (2.6593) Prec@1 35.938 (42.579) Prec@5 65.625 (67.641) Epoch: [21][3040/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.8213 (2.6594) Prec@1 39.844 (42.581) Prec@5 64.844 (67.642) Epoch: [21][3050/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5934 (2.6592) Prec@1 41.406 (42.583) Prec@5 69.531 (67.646) Epoch: [21][3060/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6661 (2.6595) Prec@1 47.656 (42.577) Prec@5 66.406 (67.641) Epoch: [21][3070/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8598 (2.6597) Prec@1 39.062 (42.582) Prec@5 61.719 (67.639) Epoch: [21][3080/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6665 (2.6597) Prec@1 41.406 (42.581) Prec@5 67.969 (67.641) Epoch: [21][3090/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7405 (2.6599) Prec@1 38.281 (42.573) Prec@5 70.312 (67.634) Epoch: [21][3100/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9178 (2.6601) Prec@1 40.625 (42.572) Prec@5 62.500 (67.633) Epoch: [21][3110/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7324 (2.6604) Prec@1 42.969 (42.572) Prec@5 67.188 (67.631) Epoch: [21][3120/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.4645 (2.6605) Prec@1 49.219 (42.572) Prec@5 74.219 (67.627) Epoch: [21][3130/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8080 (2.6605) Prec@1 39.844 (42.570) Prec@5 70.312 (67.633) Epoch: [21][3140/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.2602 (2.6605) Prec@1 53.906 (42.572) Prec@5 75.781 (67.634) Epoch: [21][3150/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.3434 (2.6610) Prec@1 33.594 (42.564) Prec@5 56.250 (67.623) Epoch: [21][3160/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0743 (2.6611) Prec@1 34.375 (42.560) Prec@5 60.938 (67.618) Epoch: [21][3170/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.7100 (2.6615) Prec@1 39.844 (42.557) Prec@5 63.281 (67.610) Epoch: [21][3180/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.9812 (2.6622) Prec@1 40.625 (42.550) Prec@5 64.062 (67.602) Epoch: [21][3190/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9584 (2.6624) Prec@1 39.844 (42.553) Prec@5 60.938 (67.600) Epoch: [21][3200/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7073 (2.6627) Prec@1 40.625 (42.543) Prec@5 63.281 (67.594) Epoch: [21][3210/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.3786 (2.6627) Prec@1 51.562 (42.542) Prec@5 74.219 (67.595) Epoch: [21][3220/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7532 (2.6628) Prec@1 42.969 (42.542) Prec@5 66.406 (67.588) Epoch: [21][3230/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.8814 (2.6630) Prec@1 41.406 (42.546) Prec@5 62.500 (67.582) Epoch: [21][3240/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8489 (2.6631) Prec@1 38.281 (42.548) Prec@5 64.844 (67.578) Epoch: [21][3250/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6120 (2.6630) Prec@1 44.531 (42.549) Prec@5 71.094 (67.583) Epoch: [21][3260/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.2496 (2.6628) Prec@1 50.000 (42.549) Prec@5 68.750 (67.584) Epoch: [21][3270/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5640 (2.6629) Prec@1 45.312 (42.550) Prec@5 67.969 (67.576) Epoch: [21][3280/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6639 (2.6628) Prec@1 39.844 (42.550) Prec@5 66.406 (67.575) Epoch: [21][3290/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.3588 (2.6628) Prec@1 48.438 (42.549) Prec@5 75.781 (67.578) Epoch: [21][3300/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.6034 (2.6629) Prec@1 46.094 (42.551) Prec@5 68.750 (67.578) Epoch: [21][3310/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8719 (2.6630) Prec@1 41.406 (42.548) Prec@5 68.750 (67.574) Epoch: [21][3320/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9240 (2.6631) Prec@1 40.625 (42.547) Prec@5 64.062 (67.573) Epoch: [21][3330/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8394 (2.6632) Prec@1 38.281 (42.541) Prec@5 68.750 (67.573) Epoch: [21][3340/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.8736 (2.6633) Prec@1 38.281 (42.535) Prec@5 61.719 (67.572) Epoch: [21][3350/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.8163 (2.6632) Prec@1 38.281 (42.536) Prec@5 62.500 (67.572) Epoch: [21][3360/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.3710 (2.6631) Prec@1 46.094 (42.537) Prec@5 75.000 (67.577) Epoch: [21][3370/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6197 (2.6637) Prec@1 42.969 (42.528) Prec@5 74.219 (67.569) Epoch: [21][3380/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7738 (2.6637) Prec@1 36.719 (42.526) Prec@5 62.500 (67.563) Epoch: [21][3390/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0521 (2.6640) Prec@1 35.938 (42.520) Prec@5 62.500 (67.560) Epoch: [21][3400/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 3.2420 (2.6641) Prec@1 32.812 (42.522) Prec@5 58.594 (67.559) Epoch: [21][3410/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.3587 (2.6642) Prec@1 49.219 (42.520) Prec@5 68.750 (67.554) Epoch: [21][3420/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6654 (2.6641) Prec@1 42.188 (42.519) Prec@5 64.844 (67.556) Epoch: [21][3430/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.2328 (2.6640) Prec@1 49.219 (42.516) Prec@5 72.656 (67.559) Epoch: [21][3440/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.2563 (2.6637) Prec@1 46.094 (42.521) Prec@5 78.906 (67.566) Epoch: [21][3450/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6865 (2.6639) Prec@1 47.656 (42.519) Prec@5 66.406 (67.562) Epoch: [21][3460/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.7974 (2.6643) Prec@1 32.031 (42.509) Prec@5 61.719 (67.551) Epoch: [21][3470/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6625 (2.6643) Prec@1 44.531 (42.510) Prec@5 70.312 (67.552) Epoch: [21][3480/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.6563 (2.6645) Prec@1 42.969 (42.509) Prec@5 67.969 (67.552) Epoch: [21][3490/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.1965 (2.6650) Prec@1 31.250 (42.501) Prec@5 58.594 (67.543) Epoch: [21][3500/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.4049 (2.6649) Prec@1 45.312 (42.502) Prec@5 71.094 (67.546) Epoch: [21][3510/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.2924 (2.6648) Prec@1 50.000 (42.504) Prec@5 69.531 (67.544) Epoch: [21][3520/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6077 (2.6647) Prec@1 47.656 (42.503) Prec@5 67.969 (67.545) Epoch: [21][3530/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.1182 (2.6647) Prec@1 35.156 (42.494) Prec@5 57.812 (67.547) Epoch: [21][3540/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 2.4210 (2.6647) Prec@1 50.000 (42.494) Prec@5 71.094 (67.544) Epoch: [21][3550/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9057 (2.6647) Prec@1 35.938 (42.492) Prec@5 66.406 (67.544) Epoch: [21][3560/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9168 (2.6646) Prec@1 41.406 (42.492) Prec@5 64.062 (67.545) Epoch: [21][3570/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5353 (2.6644) Prec@1 42.188 (42.492) Prec@5 69.531 (67.548) Epoch: [21][3580/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4432 (2.6646) Prec@1 43.750 (42.490) Prec@5 68.750 (67.547) Epoch: [21][3590/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5305 (2.6645) Prec@1 48.438 (42.488) Prec@5 70.312 (67.549) Epoch: [21][3600/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9490 (2.6647) Prec@1 32.812 (42.488) Prec@5 64.844 (67.544) Epoch: [21][3610/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.4193 (2.6646) Prec@1 45.312 (42.484) Prec@5 69.531 (67.545) Epoch: [21][3620/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5335 (2.6646) Prec@1 51.562 (42.486) Prec@5 69.531 (67.546) Epoch: [21][3630/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5767 (2.6647) Prec@1 42.969 (42.478) Prec@5 67.969 (67.546) Epoch: [21][3640/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6737 (2.6650) Prec@1 42.188 (42.474) Prec@5 68.750 (67.541) Epoch: [21][3650/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6852 (2.6650) Prec@1 40.625 (42.470) Prec@5 67.969 (67.542) Epoch: [21][3660/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5228 (2.6648) Prec@1 51.562 (42.472) Prec@5 71.875 (67.543) Epoch: [21][3670/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7482 (2.6650) Prec@1 39.062 (42.469) Prec@5 64.844 (67.538) Epoch: [21][3680/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7266 (2.6651) Prec@1 37.500 (42.466) Prec@5 66.406 (67.535) Epoch: [21][3690/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5606 (2.6651) Prec@1 45.312 (42.467) Prec@5 69.531 (67.539) Epoch: [21][3700/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7309 (2.6652) Prec@1 41.406 (42.467) Prec@5 63.281 (67.536) Epoch: [21][3710/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8374 (2.6650) Prec@1 41.406 (42.467) Prec@5 67.969 (67.541) Epoch: [21][3720/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7832 (2.6651) Prec@1 41.406 (42.467) Prec@5 66.406 (67.539) Epoch: [21][3730/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7201 (2.6649) Prec@1 44.531 (42.476) Prec@5 65.625 (67.545) Epoch: [21][3740/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.9898 (2.6648) Prec@1 37.500 (42.479) Prec@5 65.625 (67.550) Epoch: [21][3750/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3851 (2.6647) Prec@1 50.000 (42.482) Prec@5 75.781 (67.551) Epoch: [21][3760/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8201 (2.6647) Prec@1 41.406 (42.482) Prec@5 65.625 (67.553) Epoch: [21][3770/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4263 (2.6645) Prec@1 45.312 (42.482) Prec@5 67.969 (67.554) Epoch: [21][3780/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.9478 (2.6648) Prec@1 38.281 (42.476) Prec@5 63.281 (67.546) Epoch: [21][3790/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.3433 (2.6648) Prec@1 46.094 (42.477) Prec@5 70.312 (67.542) Epoch: [21][3800/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8213 (2.6650) Prec@1 42.969 (42.477) Prec@5 68.750 (67.539) Epoch: [21][3810/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4766 (2.6649) Prec@1 42.969 (42.477) Prec@5 72.656 (67.540) Epoch: [21][3820/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5314 (2.6647) Prec@1 47.656 (42.484) Prec@5 71.094 (67.543) Epoch: [21][3830/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4072 (2.6647) Prec@1 46.875 (42.484) Prec@5 71.094 (67.544) Epoch: [21][3840/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6118 (2.6647) Prec@1 47.656 (42.482) Prec@5 66.406 (67.546) Epoch: [21][3850/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6394 (2.6646) Prec@1 46.875 (42.487) Prec@5 67.969 (67.551) Epoch: [21][3860/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.5130 (2.6646) Prec@1 44.531 (42.489) Prec@5 68.750 (67.548) Epoch: [21][3870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8263 (2.6646) Prec@1 40.625 (42.488) Prec@5 66.406 (67.550) Epoch: [21][3880/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7031 (2.6646) Prec@1 43.750 (42.489) Prec@5 64.844 (67.549) Epoch: [21][3890/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8038 (2.6647) Prec@1 39.844 (42.483) Prec@5 65.625 (67.550) Epoch: [21][3900/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5158 (2.6645) Prec@1 41.406 (42.487) Prec@5 68.750 (67.554) Epoch: [21][3910/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5407 (2.6643) Prec@1 42.188 (42.492) Prec@5 70.312 (67.559) Epoch: [21][3920/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4358 (2.6643) Prec@1 46.875 (42.490) Prec@5 69.531 (67.559) Epoch: [21][3930/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6597 (2.6643) Prec@1 46.875 (42.493) Prec@5 67.969 (67.559) Epoch: [21][3940/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6080 (2.6642) Prec@1 41.406 (42.493) Prec@5 63.281 (67.560) Epoch: [21][3950/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9873 (2.6643) Prec@1 38.281 (42.489) Prec@5 63.281 (67.562) Epoch: [21][3960/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6799 (2.6642) Prec@1 39.844 (42.494) Prec@5 67.188 (67.567) Epoch: [21][3970/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.1170 (2.6644) Prec@1 33.594 (42.490) Prec@5 57.031 (67.561) Epoch: [21][3980/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.8162 (2.6642) Prec@1 37.500 (42.494) Prec@5 64.062 (67.562) Epoch: [21][3990/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9553 (2.6643) Prec@1 39.062 (42.491) Prec@5 60.156 (67.558) Epoch: [21][4000/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8169 (2.6643) Prec@1 45.312 (42.495) Prec@5 67.188 (67.558) Epoch: [21][4010/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6492 (2.6646) Prec@1 44.531 (42.494) Prec@5 71.094 (67.555) Epoch: [21][4020/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7367 (2.6645) Prec@1 42.969 (42.496) Prec@5 65.625 (67.558) Epoch: [21][4030/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5500 (2.6647) Prec@1 43.750 (42.494) Prec@5 69.531 (67.555) Epoch: [21][4040/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.3257 (2.6650) Prec@1 28.125 (42.485) Prec@5 57.812 (67.549) Epoch: [21][4050/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3981 (2.6650) Prec@1 50.781 (42.489) Prec@5 75.000 (67.552) Epoch: [21][4060/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5172 (2.6650) Prec@1 43.750 (42.489) Prec@5 68.750 (67.552) Epoch: [21][4070/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6065 (2.6651) Prec@1 45.312 (42.488) Prec@5 68.750 (67.549) Epoch: [21][4080/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7206 (2.6651) Prec@1 43.750 (42.494) Prec@5 65.625 (67.550) Epoch: [21][4090/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5167 (2.6648) Prec@1 43.750 (42.499) Prec@5 71.875 (67.557) Epoch: [21][4100/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4333 (2.6645) Prec@1 46.094 (42.503) Prec@5 71.875 (67.561) Epoch: [21][4110/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7260 (2.6643) Prec@1 43.750 (42.504) Prec@5 67.969 (67.565) Epoch: [21][4120/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9005 (2.6644) Prec@1 43.750 (42.504) Prec@5 60.938 (67.561) Epoch: [21][4130/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8866 (2.6646) Prec@1 35.938 (42.503) Prec@5 61.719 (67.561) Epoch: [21][4140/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5224 (2.6646) Prec@1 45.312 (42.503) Prec@5 67.188 (67.559) Epoch: [21][4150/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5870 (2.6646) Prec@1 47.656 (42.510) Prec@5 69.531 (67.559) Epoch: [21][4160/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7974 (2.6644) Prec@1 44.531 (42.515) Prec@5 63.281 (67.563) Epoch: [21][4170/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.2571 (2.6644) Prec@1 46.094 (42.519) Prec@5 72.656 (67.564) Epoch: [21][4180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5735 (2.6643) Prec@1 45.312 (42.520) Prec@5 68.750 (67.562) Epoch: [21][4190/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4763 (2.6642) Prec@1 40.625 (42.524) Prec@5 67.969 (67.565) Epoch: [21][4200/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3072 (2.6640) Prec@1 50.781 (42.529) Prec@5 72.656 (67.566) Epoch: [21][4210/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7215 (2.6639) Prec@1 40.625 (42.532) Prec@5 67.188 (67.566) Epoch: [21][4220/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5076 (2.6639) Prec@1 46.875 (42.537) Prec@5 70.312 (67.565) Epoch: [21][4230/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.5865 (2.6638) Prec@1 42.969 (42.538) Prec@5 64.062 (67.569) Epoch: [21][4240/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6102 (2.6637) Prec@1 39.062 (42.538) Prec@5 67.188 (67.572) Epoch: [21][4250/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8355 (2.6638) Prec@1 40.625 (42.538) Prec@5 67.188 (67.569) Epoch: [21][4260/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5598 (2.6639) Prec@1 41.406 (42.533) Prec@5 71.875 (67.568) Epoch: [21][4270/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8305 (2.6640) Prec@1 40.625 (42.531) Prec@5 63.281 (67.564) Epoch: [21][4280/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7098 (2.6640) Prec@1 39.062 (42.534) Prec@5 70.312 (67.566) Epoch: [21][4290/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7632 (2.6639) Prec@1 40.625 (42.533) Prec@5 60.156 (67.565) /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: [21][4300/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8105 (2.6642) Prec@1 36.719 (42.528) Prec@5 69.531 (67.564) Epoch: [21][4310/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.9892 (2.6643) Prec@1 38.281 (42.527) Prec@5 63.281 (67.563) Epoch: [21][4320/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8526 (2.6643) Prec@1 39.062 (42.522) Prec@5 65.625 (67.563) Epoch: [21][4330/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0988 (2.6645) Prec@1 32.812 (42.518) Prec@5 58.594 (67.559) Epoch: [21][4340/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6145 (2.6645) Prec@1 46.094 (42.518) Prec@5 70.312 (67.559) Epoch: [21][4350/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6582 (2.6647) Prec@1 43.750 (42.516) Prec@5 71.094 (67.556) Epoch: [21][4360/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6708 (2.6648) Prec@1 42.188 (42.515) Prec@5 67.188 (67.556) Epoch: [21][4370/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.5844 (2.6647) Prec@1 42.188 (42.517) Prec@5 67.969 (67.558) Epoch: [21][4380/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4833 (2.6647) Prec@1 42.969 (42.513) Prec@5 69.531 (67.558) Epoch: [21][4390/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9572 (2.6649) Prec@1 33.594 (42.510) Prec@5 67.188 (67.555) Epoch: [21][4400/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5015 (2.6649) Prec@1 43.750 (42.511) Prec@5 70.312 (67.555) Epoch: [21][4410/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.2358 (2.6647) Prec@1 53.125 (42.517) Prec@5 74.219 (67.559) Epoch: [21][4420/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6835 (2.6648) Prec@1 44.531 (42.520) Prec@5 67.969 (67.560) Epoch: [21][4430/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.5351 (2.6645) Prec@1 43.750 (42.525) Prec@5 75.000 (67.567) Epoch: [21][4440/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4129 (2.6645) Prec@1 45.312 (42.523) Prec@5 72.656 (67.570) Epoch: [21][4450/10010] Time 0.333 (0.331) Data 0.002 (0.001) Loss 2.4512 (2.6646) Prec@1 44.531 (42.519) Prec@5 71.875 (67.570) Epoch: [21][4460/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6061 (2.6645) Prec@1 38.281 (42.523) Prec@5 64.062 (67.570) Epoch: [21][4470/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.3276 (2.6646) Prec@1 49.219 (42.519) Prec@5 75.781 (67.569) Epoch: [21][4480/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7322 (2.6646) Prec@1 37.500 (42.519) Prec@5 67.188 (67.571) Epoch: [21][4490/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7550 (2.6646) Prec@1 35.938 (42.516) Prec@5 66.406 (67.574) Epoch: [21][4500/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8385 (2.6647) Prec@1 36.719 (42.515) Prec@5 64.844 (67.573) Epoch: [21][4510/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6070 (2.6645) Prec@1 42.969 (42.519) Prec@5 69.531 (67.576) Epoch: [21][4520/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5191 (2.6641) Prec@1 40.625 (42.526) Prec@5 70.312 (67.585) Epoch: [21][4530/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9184 (2.6643) Prec@1 40.625 (42.527) Prec@5 63.281 (67.582) Epoch: [21][4540/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8625 (2.6643) Prec@1 36.719 (42.524) Prec@5 63.281 (67.581) Epoch: [21][4550/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9857 (2.6645) Prec@1 35.156 (42.519) Prec@5 61.719 (67.578) Epoch: [21][4560/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6618 (2.6648) Prec@1 43.750 (42.516) Prec@5 71.875 (67.575) Epoch: [21][4570/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9330 (2.6647) Prec@1 37.500 (42.511) Prec@5 64.844 (67.578) Epoch: [21][4580/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8832 (2.6646) Prec@1 42.969 (42.514) Prec@5 62.500 (67.579) Epoch: [21][4590/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9055 (2.6646) Prec@1 41.406 (42.513) Prec@5 62.500 (67.578) Epoch: [21][4600/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6432 (2.6645) Prec@1 47.656 (42.516) Prec@5 64.844 (67.578) Epoch: [21][4610/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7782 (2.6645) Prec@1 39.844 (42.515) Prec@5 67.188 (67.577) Epoch: [21][4620/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3962 (2.6644) Prec@1 44.531 (42.516) Prec@5 71.875 (67.580) Epoch: [21][4630/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9741 (2.6644) Prec@1 43.750 (42.513) Prec@5 64.844 (67.580) Epoch: [21][4640/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8026 (2.6645) Prec@1 37.500 (42.509) Prec@5 62.500 (67.577) Epoch: [21][4650/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 3.0969 (2.6645) Prec@1 39.844 (42.511) Prec@5 59.375 (67.579) Epoch: [21][4660/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4683 (2.6646) Prec@1 48.438 (42.509) Prec@5 68.750 (67.574) Epoch: [21][4670/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.3698 (2.6647) Prec@1 50.000 (42.508) Prec@5 72.656 (67.573) Epoch: [21][4680/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6909 (2.6647) Prec@1 42.969 (42.509) Prec@5 64.844 (67.574) Epoch: [21][4690/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4048 (2.6644) Prec@1 40.625 (42.513) Prec@5 70.312 (67.577) Epoch: [21][4700/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6078 (2.6644) Prec@1 42.969 (42.512) Prec@5 67.969 (67.579) Epoch: [21][4710/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6249 (2.6646) Prec@1 39.062 (42.510) Prec@5 66.406 (67.576) Epoch: [21][4720/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7806 (2.6646) Prec@1 38.281 (42.508) Prec@5 65.625 (67.577) Epoch: [21][4730/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8341 (2.6645) Prec@1 39.062 (42.510) Prec@5 63.281 (67.578) Epoch: [21][4740/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7823 (2.6646) Prec@1 39.844 (42.510) Prec@5 60.938 (67.576) Epoch: [21][4750/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8473 (2.6646) Prec@1 40.625 (42.509) Prec@5 60.938 (67.576) Epoch: [21][4760/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8452 (2.6644) Prec@1 39.844 (42.513) Prec@5 62.500 (67.577) Epoch: [21][4770/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.1406 (2.6644) Prec@1 35.938 (42.512) Prec@5 57.812 (67.573) Epoch: [21][4780/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5878 (2.6645) Prec@1 42.188 (42.507) Prec@5 67.188 (67.572) Epoch: [21][4790/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6752 (2.6646) Prec@1 42.969 (42.507) Prec@5 66.406 (67.569) Epoch: [21][4800/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8718 (2.6648) Prec@1 37.500 (42.503) Prec@5 61.719 (67.565) Epoch: [21][4810/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8223 (2.6648) Prec@1 41.406 (42.500) Prec@5 61.719 (67.565) Epoch: [21][4820/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9512 (2.6650) Prec@1 33.594 (42.497) Prec@5 61.719 (67.559) Epoch: [21][4830/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3754 (2.6651) Prec@1 51.562 (42.495) Prec@5 69.531 (67.559) Epoch: [21][4840/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4437 (2.6650) Prec@1 46.094 (42.494) Prec@5 71.094 (67.559) Epoch: [21][4850/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7853 (2.6650) Prec@1 36.719 (42.493) Prec@5 65.625 (67.558) Epoch: [21][4860/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8955 (2.6650) Prec@1 37.500 (42.492) Prec@5 61.719 (67.557) Epoch: [21][4870/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6486 (2.6651) Prec@1 42.969 (42.490) Prec@5 67.969 (67.556) Epoch: [21][4880/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5492 (2.6650) Prec@1 44.531 (42.490) Prec@5 69.531 (67.558) Epoch: [21][4890/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8834 (2.6651) Prec@1 36.719 (42.489) Prec@5 64.844 (67.556) Epoch: [21][4900/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9435 (2.6653) Prec@1 37.500 (42.484) Prec@5 63.281 (67.555) Epoch: [21][4910/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.3970 (2.6655) Prec@1 46.094 (42.486) Prec@5 68.750 (67.551) Epoch: [21][4920/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.3757 (2.6654) Prec@1 47.656 (42.488) Prec@5 73.438 (67.552) Epoch: [21][4930/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6979 (2.6652) Prec@1 40.625 (42.491) Prec@5 63.281 (67.555) Epoch: [21][4940/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.3510 (2.6651) Prec@1 45.312 (42.492) Prec@5 67.188 (67.556) Epoch: [21][4950/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9091 (2.6651) Prec@1 41.406 (42.493) Prec@5 65.625 (67.555) Epoch: [21][4960/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5881 (2.6652) Prec@1 42.969 (42.490) Prec@5 70.312 (67.552) Epoch: [21][4970/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8286 (2.6652) Prec@1 44.531 (42.494) Prec@5 63.281 (67.552) Epoch: [21][4980/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6702 (2.6652) Prec@1 41.406 (42.493) Prec@5 68.750 (67.552) Epoch: [21][4990/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1681 (2.6651) Prec@1 53.125 (42.499) Prec@5 78.906 (67.555) Epoch: [21][5000/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6551 (2.6650) Prec@1 43.750 (42.499) Prec@5 71.094 (67.556) Epoch: [21][5010/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8014 (2.6650) Prec@1 37.500 (42.497) Prec@5 62.500 (67.556) Epoch: [21][5020/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5834 (2.6652) Prec@1 47.656 (42.496) Prec@5 70.312 (67.553) Epoch: [21][5030/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7000 (2.6653) Prec@1 43.750 (42.499) Prec@5 67.969 (67.550) Epoch: [21][5040/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8135 (2.6654) Prec@1 37.500 (42.494) Prec@5 61.719 (67.547) Epoch: [21][5050/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7633 (2.6655) Prec@1 45.312 (42.493) Prec@5 67.188 (67.545) Epoch: [21][5060/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.4473 (2.6652) Prec@1 49.219 (42.499) Prec@5 70.312 (67.548) Epoch: [21][5070/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.6738 (2.6653) Prec@1 43.750 (42.499) Prec@5 65.625 (67.545) Epoch: [21][5080/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5525 (2.6655) Prec@1 45.312 (42.495) Prec@5 67.188 (67.540) Epoch: [21][5090/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6288 (2.6655) Prec@1 39.062 (42.492) Prec@5 68.750 (67.540) Epoch: [21][5100/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.3157 (2.6654) Prec@1 46.875 (42.495) Prec@5 71.094 (67.543) Epoch: [21][5110/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8445 (2.6651) Prec@1 42.188 (42.501) Prec@5 63.281 (67.548) Epoch: [21][5120/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5967 (2.6650) Prec@1 45.312 (42.503) Prec@5 68.750 (67.552) Epoch: [21][5130/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5002 (2.6648) Prec@1 39.844 (42.506) Prec@5 70.312 (67.551) Epoch: [21][5140/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8909 (2.6648) Prec@1 40.625 (42.507) Prec@5 65.625 (67.555) Epoch: [21][5150/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9721 (2.6649) Prec@1 38.281 (42.504) Prec@5 65.625 (67.555) Epoch: [21][5160/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6742 (2.6649) Prec@1 46.875 (42.506) Prec@5 67.188 (67.555) Epoch: [21][5170/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9028 (2.6648) Prec@1 38.281 (42.510) Prec@5 64.844 (67.558) Epoch: [21][5180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7268 (2.6649) Prec@1 37.500 (42.509) Prec@5 70.312 (67.558) Epoch: [21][5190/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4075 (2.6648) Prec@1 50.781 (42.511) Prec@5 70.312 (67.558) Epoch: [21][5200/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8044 (2.6648) Prec@1 43.750 (42.513) Prec@5 66.406 (67.556) Epoch: [21][5210/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6330 (2.6648) Prec@1 46.875 (42.514) Prec@5 66.406 (67.555) Epoch: [21][5220/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.2924 (2.6649) Prec@1 47.656 (42.514) Prec@5 74.219 (67.555) Epoch: [21][5230/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4078 (2.6649) Prec@1 40.625 (42.514) Prec@5 70.312 (67.558) Epoch: [21][5240/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6130 (2.6649) Prec@1 41.406 (42.512) Prec@5 66.406 (67.557) Epoch: [21][5250/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6313 (2.6650) Prec@1 46.875 (42.511) Prec@5 68.750 (67.556) Epoch: [21][5260/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9715 (2.6651) Prec@1 40.625 (42.511) Prec@5 65.625 (67.557) Epoch: [21][5270/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5387 (2.6651) Prec@1 42.969 (42.513) Prec@5 75.000 (67.556) Epoch: [21][5280/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9690 (2.6652) Prec@1 37.500 (42.509) Prec@5 58.594 (67.557) Epoch: [21][5290/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2635 (2.6652) Prec@1 48.438 (42.508) Prec@5 75.781 (67.555) Epoch: [21][5300/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5919 (2.6652) Prec@1 42.188 (42.507) Prec@5 69.531 (67.556) Epoch: [21][5310/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3715 (2.6650) Prec@1 47.656 (42.507) Prec@5 75.000 (67.557) Epoch: [21][5320/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6214 (2.6650) Prec@1 36.719 (42.504) Prec@5 67.188 (67.558) Epoch: [21][5330/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9748 (2.6650) Prec@1 37.500 (42.501) Prec@5 66.406 (67.558) Epoch: [21][5340/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9250 (2.6650) Prec@1 34.375 (42.504) Prec@5 64.844 (67.558) Epoch: [21][5350/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8527 (2.6651) Prec@1 40.625 (42.501) Prec@5 63.281 (67.556) Epoch: [21][5360/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7009 (2.6652) Prec@1 42.188 (42.501) Prec@5 64.062 (67.553) Epoch: [21][5370/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5114 (2.6652) Prec@1 48.438 (42.499) Prec@5 67.188 (67.553) Epoch: [21][5380/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5040 (2.6651) Prec@1 48.438 (42.502) Prec@5 69.531 (67.552) Epoch: [21][5390/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5758 (2.6650) Prec@1 45.312 (42.501) Prec@5 63.281 (67.554) Epoch: [21][5400/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.7361 (2.6649) Prec@1 39.062 (42.502) Prec@5 66.406 (67.555) Epoch: [21][5410/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8935 (2.6651) Prec@1 37.500 (42.499) Prec@5 59.375 (67.551) Epoch: [21][5420/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8531 (2.6652) Prec@1 41.406 (42.499) Prec@5 63.281 (67.549) Epoch: [21][5430/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9031 (2.6649) Prec@1 39.844 (42.505) Prec@5 62.500 (67.555) Epoch: [21][5440/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4355 (2.6650) Prec@1 46.094 (42.502) Prec@5 74.219 (67.553) Epoch: [21][5450/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6530 (2.6649) Prec@1 41.406 (42.503) Prec@5 64.844 (67.554) Epoch: [21][5460/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6530 (2.6649) Prec@1 42.188 (42.503) Prec@5 71.094 (67.555) Epoch: [21][5470/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6605 (2.6650) Prec@1 43.750 (42.500) Prec@5 68.750 (67.553) Epoch: [21][5480/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7833 (2.6649) Prec@1 42.969 (42.502) Prec@5 65.625 (67.555) Epoch: [21][5490/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3250 (2.6649) Prec@1 50.000 (42.502) Prec@5 75.781 (67.557) Epoch: [21][5500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2437 (2.6648) Prec@1 50.000 (42.504) Prec@5 78.906 (67.560) Epoch: [21][5510/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4626 (2.6648) Prec@1 46.875 (42.506) Prec@5 75.000 (67.561) Epoch: [21][5520/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6729 (2.6647) Prec@1 40.625 (42.504) Prec@5 67.188 (67.562) Epoch: [21][5530/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7123 (2.6647) Prec@1 42.969 (42.505) Prec@5 71.094 (67.563) Epoch: [21][5540/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.1315 (2.6647) Prec@1 53.906 (42.504) Prec@5 78.906 (67.565) Epoch: [21][5550/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6432 (2.6648) Prec@1 40.625 (42.501) Prec@5 65.625 (67.560) Epoch: [21][5560/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8941 (2.6649) Prec@1 39.844 (42.502) Prec@5 64.844 (67.558) Epoch: [21][5570/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6335 (2.6648) Prec@1 43.750 (42.501) Prec@5 71.094 (67.558) Epoch: [21][5580/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9583 (2.6653) Prec@1 38.281 (42.495) Prec@5 64.062 (67.552) Epoch: [21][5590/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1911 (2.6653) Prec@1 54.688 (42.495) Prec@5 77.344 (67.553) Epoch: [21][5600/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8612 (2.6655) Prec@1 39.062 (42.492) Prec@5 60.938 (67.547) Epoch: [21][5610/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7915 (2.6653) Prec@1 41.406 (42.494) Prec@5 64.062 (67.552) Epoch: [21][5620/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7964 (2.6654) Prec@1 38.281 (42.489) Prec@5 64.062 (67.549) Epoch: [21][5630/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7946 (2.6654) Prec@1 43.750 (42.487) Prec@5 68.750 (67.551) Epoch: [21][5640/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.3786 (2.6654) Prec@1 34.375 (42.488) Prec@5 53.906 (67.549) Epoch: [21][5650/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7374 (2.6655) Prec@1 43.750 (42.488) Prec@5 66.406 (67.549) Epoch: [21][5660/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9088 (2.6655) Prec@1 36.719 (42.485) Prec@5 62.500 (67.548) Epoch: [21][5670/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7614 (2.6657) Prec@1 45.312 (42.482) Prec@5 62.500 (67.544) Epoch: [21][5680/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6106 (2.6658) Prec@1 45.312 (42.480) Prec@5 67.969 (67.542) Epoch: [21][5690/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6421 (2.6659) Prec@1 44.531 (42.480) Prec@5 71.875 (67.541) Epoch: [21][5700/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8793 (2.6659) Prec@1 43.750 (42.479) Prec@5 63.281 (67.540) Epoch: [21][5710/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4671 (2.6657) Prec@1 45.312 (42.480) Prec@5 67.969 (67.543) Epoch: [21][5720/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8276 (2.6656) Prec@1 39.062 (42.478) Prec@5 60.156 (67.545) Epoch: [21][5730/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9618 (2.6658) Prec@1 39.844 (42.479) Prec@5 64.844 (67.545) Epoch: [21][5740/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6164 (2.6659) Prec@1 42.969 (42.475) Prec@5 67.969 (67.541) Epoch: [21][5750/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 3.0505 (2.6662) Prec@1 31.250 (42.469) Prec@5 62.500 (67.537) Epoch: [21][5760/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4141 (2.6662) Prec@1 46.875 (42.471) Prec@5 74.219 (67.538) Epoch: [21][5770/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8580 (2.6662) Prec@1 38.281 (42.470) Prec@5 64.844 (67.538) Epoch: [21][5780/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6797 (2.6663) Prec@1 42.969 (42.470) Prec@5 65.625 (67.537) /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: [21][5790/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3947 (2.6662) Prec@1 41.406 (42.472) Prec@5 71.875 (67.538) Epoch: [21][5800/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.1110 (2.6662) Prec@1 29.688 (42.469) Prec@5 59.375 (67.536) Epoch: [21][5810/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8677 (2.6664) Prec@1 46.094 (42.466) Prec@5 63.281 (67.535) Epoch: [21][5820/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7225 (2.6664) Prec@1 36.719 (42.464) Prec@5 69.531 (67.534) Epoch: [21][5830/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5367 (2.6665) Prec@1 40.625 (42.465) Prec@5 67.188 (67.533) Epoch: [21][5840/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9682 (2.6666) Prec@1 36.719 (42.459) Prec@5 62.500 (67.529) Epoch: [21][5850/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8089 (2.6668) Prec@1 35.938 (42.454) Prec@5 64.844 (67.527) Epoch: [21][5860/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7042 (2.6666) Prec@1 44.531 (42.458) Prec@5 71.875 (67.532) Epoch: [21][5870/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8899 (2.6665) Prec@1 44.531 (42.460) Prec@5 66.406 (67.535) Epoch: [21][5880/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8856 (2.6666) Prec@1 43.750 (42.461) Prec@5 64.844 (67.534) Epoch: [21][5890/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9295 (2.6667) Prec@1 39.844 (42.460) Prec@5 63.281 (67.533) Epoch: [21][5900/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5805 (2.6665) Prec@1 41.406 (42.462) Prec@5 68.750 (67.538) Epoch: [21][5910/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3369 (2.6664) Prec@1 42.188 (42.462) Prec@5 67.969 (67.540) Epoch: [21][5920/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7742 (2.6666) Prec@1 35.938 (42.459) Prec@5 69.531 (67.536) Epoch: [21][5930/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4750 (2.6665) Prec@1 46.094 (42.462) Prec@5 67.188 (67.539) Epoch: [21][5940/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8969 (2.6666) Prec@1 39.844 (42.459) Prec@5 58.594 (67.536) Epoch: [21][5950/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4858 (2.6668) Prec@1 49.219 (42.455) Prec@5 68.750 (67.534) Epoch: [21][5960/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7320 (2.6668) Prec@1 36.719 (42.454) Prec@5 72.656 (67.535) Epoch: [21][5970/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7653 (2.6668) Prec@1 43.750 (42.457) Prec@5 63.281 (67.535) Epoch: [21][5980/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6518 (2.6667) Prec@1 45.312 (42.457) Prec@5 70.312 (67.536) Epoch: [21][5990/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7284 (2.6668) Prec@1 40.625 (42.454) Prec@5 61.719 (67.533) Epoch: [21][6000/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4099 (2.6668) Prec@1 46.875 (42.454) Prec@5 68.750 (67.534) Epoch: [21][6010/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6512 (2.6668) Prec@1 46.094 (42.454) Prec@5 67.188 (67.534) Epoch: [21][6020/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5521 (2.6667) Prec@1 46.094 (42.456) Prec@5 70.312 (67.535) Epoch: [21][6030/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9195 (2.6668) Prec@1 37.500 (42.454) Prec@5 66.406 (67.535) Epoch: [21][6040/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7657 (2.6669) Prec@1 43.750 (42.451) Prec@5 67.969 (67.534) Epoch: [21][6050/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8979 (2.6669) Prec@1 32.812 (42.452) Prec@5 64.844 (67.537) Epoch: [21][6060/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5012 (2.6669) Prec@1 42.188 (42.452) Prec@5 68.750 (67.537) Epoch: [21][6070/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7591 (2.6670) Prec@1 40.625 (42.450) Prec@5 67.188 (67.533) Epoch: [21][6080/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.1490 (2.6672) Prec@1 37.500 (42.449) Prec@5 59.375 (67.532) Epoch: [21][6090/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6904 (2.6672) Prec@1 41.406 (42.450) Prec@5 67.969 (67.531) Epoch: [21][6100/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0879 (2.6674) Prec@1 37.500 (42.448) Prec@5 62.500 (67.530) Epoch: [21][6110/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5480 (2.6672) Prec@1 43.750 (42.453) Prec@5 64.062 (67.532) Epoch: [21][6120/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4528 (2.6671) Prec@1 49.219 (42.457) Prec@5 71.875 (67.533) Epoch: [21][6130/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.1432 (2.6673) Prec@1 36.719 (42.454) Prec@5 60.156 (67.529) /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: [21][6140/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9135 (2.6675) Prec@1 39.062 (42.452) Prec@5 60.156 (67.523) Epoch: [21][6150/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7515 (2.6674) Prec@1 43.750 (42.454) Prec@5 68.750 (67.526) Epoch: [21][6160/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5454 (2.6673) Prec@1 45.312 (42.456) Prec@5 71.875 (67.527) Epoch: [21][6170/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4777 (2.6673) Prec@1 46.094 (42.456) Prec@5 74.219 (67.527) Epoch: [21][6180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7983 (2.6674) Prec@1 42.969 (42.454) Prec@5 66.406 (67.525) Epoch: [21][6190/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6351 (2.6674) Prec@1 44.531 (42.454) Prec@5 67.969 (67.525) Epoch: [21][6200/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6027 (2.6675) Prec@1 43.750 (42.452) Prec@5 68.750 (67.524) Epoch: [21][6210/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3585 (2.6675) Prec@1 42.969 (42.451) Prec@5 73.438 (67.526) Epoch: [21][6220/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5918 (2.6676) Prec@1 42.969 (42.447) Prec@5 70.312 (67.524) Epoch: [21][6230/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4035 (2.6675) Prec@1 46.094 (42.449) Prec@5 72.656 (67.525) Epoch: [21][6240/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8201 (2.6677) Prec@1 44.531 (42.447) Prec@5 61.719 (67.522) Epoch: [21][6250/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5417 (2.6676) Prec@1 42.188 (42.448) Prec@5 69.531 (67.526) Epoch: [21][6260/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3732 (2.6676) Prec@1 46.094 (42.447) Prec@5 71.875 (67.524) Epoch: [21][6270/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5895 (2.6677) Prec@1 42.969 (42.445) Prec@5 68.750 (67.524) Epoch: [21][6280/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.3961 (2.6676) Prec@1 48.438 (42.446) Prec@5 73.438 (67.527) Epoch: [21][6290/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8965 (2.6675) Prec@1 39.062 (42.447) Prec@5 66.406 (67.529) Epoch: [21][6300/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8795 (2.6674) Prec@1 36.719 (42.447) Prec@5 66.406 (67.533) Epoch: [21][6310/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5203 (2.6673) Prec@1 42.188 (42.447) Prec@5 68.750 (67.536) Epoch: [21][6320/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.3005 (2.6671) Prec@1 46.875 (42.448) Prec@5 74.219 (67.539) Epoch: [21][6330/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8298 (2.6672) Prec@1 35.156 (42.447) Prec@5 64.844 (67.538) Epoch: [21][6340/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5987 (2.6671) Prec@1 42.969 (42.450) Prec@5 67.969 (67.538) Epoch: [21][6350/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8017 (2.6671) Prec@1 42.188 (42.450) Prec@5 67.969 (67.539) Epoch: [21][6360/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8495 (2.6670) Prec@1 42.188 (42.454) Prec@5 60.156 (67.539) Epoch: [21][6370/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.1751 (2.6673) Prec@1 32.812 (42.451) Prec@5 60.938 (67.534) Epoch: [21][6380/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6416 (2.6673) Prec@1 45.312 (42.452) Prec@5 70.312 (67.535) Epoch: [21][6390/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5986 (2.6672) Prec@1 41.406 (42.453) Prec@5 71.094 (67.537) Epoch: [21][6400/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5676 (2.6671) Prec@1 46.875 (42.457) Prec@5 64.062 (67.538) Epoch: [21][6410/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8311 (2.6672) Prec@1 39.844 (42.458) Prec@5 64.062 (67.536) Epoch: [21][6420/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7511 (2.6672) Prec@1 42.969 (42.457) Prec@5 62.500 (67.535) Epoch: [21][6430/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6962 (2.6672) Prec@1 43.750 (42.457) Prec@5 67.188 (67.535) Epoch: [21][6440/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6983 (2.6670) Prec@1 41.406 (42.462) Prec@5 67.188 (67.539) Epoch: [21][6450/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9258 (2.6671) Prec@1 34.375 (42.457) Prec@5 64.844 (67.538) Epoch: [21][6460/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7102 (2.6670) Prec@1 46.094 (42.461) Prec@5 67.188 (67.539) Epoch: [21][6470/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6789 (2.6670) Prec@1 44.531 (42.460) Prec@5 68.750 (67.538) Epoch: [21][6480/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7581 (2.6670) Prec@1 39.844 (42.459) Prec@5 67.969 (67.541) Epoch: [21][6490/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6482 (2.6668) Prec@1 45.312 (42.460) Prec@5 68.750 (67.544) Epoch: [21][6500/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5949 (2.6670) Prec@1 46.875 (42.457) Prec@5 67.969 (67.542) Epoch: [21][6510/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6888 (2.6669) Prec@1 41.406 (42.457) Prec@5 66.406 (67.544) Epoch: [21][6520/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5443 (2.6670) Prec@1 44.531 (42.455) Prec@5 71.875 (67.542) Epoch: [21][6530/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7478 (2.6670) Prec@1 44.531 (42.455) Prec@5 68.750 (67.543) Epoch: [21][6540/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9224 (2.6670) Prec@1 37.500 (42.455) Prec@5 62.500 (67.542) Epoch: [21][6550/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9680 (2.6670) Prec@1 31.250 (42.455) Prec@5 60.938 (67.545) Epoch: [21][6560/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4084 (2.6671) Prec@1 48.438 (42.452) Prec@5 74.219 (67.544) Epoch: [21][6570/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5110 (2.6672) Prec@1 43.750 (42.449) Prec@5 71.875 (67.542) Epoch: [21][6580/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6653 (2.6673) Prec@1 42.969 (42.446) Prec@5 66.406 (67.539) Epoch: [21][6590/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0379 (2.6672) Prec@1 40.625 (42.448) Prec@5 64.062 (67.539) Epoch: [21][6600/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5262 (2.6670) Prec@1 45.312 (42.453) Prec@5 71.094 (67.543) Epoch: [21][6610/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8148 (2.6670) Prec@1 43.750 (42.453) Prec@5 64.062 (67.544) Epoch: [21][6620/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7547 (2.6670) Prec@1 42.969 (42.452) Prec@5 66.406 (67.545) Epoch: [21][6630/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5617 (2.6671) Prec@1 45.312 (42.450) Prec@5 67.188 (67.546) Epoch: [21][6640/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4189 (2.6669) Prec@1 42.969 (42.452) Prec@5 71.875 (67.548) Epoch: [21][6650/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6281 (2.6670) Prec@1 43.750 (42.451) Prec@5 65.625 (67.546) Epoch: [21][6660/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5712 (2.6670) Prec@1 44.531 (42.450) Prec@5 68.750 (67.547) Epoch: [21][6670/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.2366 (2.6670) Prec@1 35.938 (42.449) Prec@5 59.375 (67.546) Epoch: [21][6680/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8902 (2.6673) Prec@1 38.281 (42.446) Prec@5 61.719 (67.541) Epoch: [21][6690/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8008 (2.6673) Prec@1 34.375 (42.444) Prec@5 63.281 (67.542) Epoch: [21][6700/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5220 (2.6672) Prec@1 45.312 (42.446) Prec@5 68.750 (67.542) Epoch: [21][6710/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0093 (2.6673) Prec@1 33.594 (42.444) Prec@5 60.938 (67.542) Epoch: [21][6720/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6643 (2.6674) Prec@1 48.438 (42.443) Prec@5 67.969 (67.539) Epoch: [21][6730/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.3639 (2.6675) Prec@1 46.875 (42.440) Prec@5 75.000 (67.537) Epoch: [21][6740/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3243 (2.6675) Prec@1 52.344 (42.442) Prec@5 70.312 (67.536) Epoch: [21][6750/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.3525 (2.6675) Prec@1 46.875 (42.442) Prec@5 74.219 (67.535) Epoch: [21][6760/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8553 (2.6677) Prec@1 43.750 (42.438) Prec@5 63.281 (67.531) Epoch: [21][6770/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.1393 (2.6677) Prec@1 50.781 (42.437) Prec@5 75.000 (67.534) Epoch: [21][6780/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7951 (2.6677) Prec@1 39.844 (42.437) Prec@5 63.281 (67.534) Epoch: [21][6790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5618 (2.6678) Prec@1 40.625 (42.436) Prec@5 71.094 (67.536) Epoch: [21][6800/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6864 (2.6678) Prec@1 41.406 (42.436) Prec@5 66.406 (67.536) /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: [21][6810/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5662 (2.6677) Prec@1 50.000 (42.441) Prec@5 70.312 (67.539) Epoch: [21][6820/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0792 (2.6676) Prec@1 37.500 (42.441) Prec@5 60.156 (67.539) Epoch: [21][6830/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9921 (2.6677) Prec@1 33.594 (42.440) Prec@5 57.031 (67.537) Epoch: [21][6840/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.9307 (2.6679) Prec@1 39.844 (42.437) Prec@5 66.406 (67.534) Epoch: [21][6850/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5191 (2.6680) Prec@1 40.625 (42.432) Prec@5 71.875 (67.533) Epoch: [21][6860/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9904 (2.6681) Prec@1 34.375 (42.429) Prec@5 62.500 (67.532) Epoch: [21][6870/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5748 (2.6681) Prec@1 42.188 (42.429) Prec@5 71.094 (67.533) Epoch: [21][6880/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9030 (2.6682) Prec@1 39.062 (42.429) Prec@5 63.281 (67.533) Epoch: [21][6890/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5774 (2.6682) Prec@1 42.188 (42.427) Prec@5 70.312 (67.534) Epoch: [21][6900/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7243 (2.6683) Prec@1 42.188 (42.427) Prec@5 70.312 (67.534) Epoch: [21][6910/10010] Time 0.354 (0.331) Data 0.000 (0.001) Loss 2.5654 (2.6682) Prec@1 35.938 (42.427) Prec@5 71.094 (67.535) Epoch: [21][6920/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5370 (2.6681) Prec@1 43.750 (42.429) Prec@5 72.656 (67.536) Epoch: [21][6930/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.3756 (2.6681) Prec@1 42.188 (42.430) Prec@5 75.000 (67.539) Epoch: [21][6940/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6451 (2.6680) Prec@1 47.656 (42.429) Prec@5 67.969 (67.539) Epoch: [21][6950/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6597 (2.6679) Prec@1 46.094 (42.432) Prec@5 65.625 (67.543) Epoch: [21][6960/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7150 (2.6678) Prec@1 35.938 (42.433) Prec@5 68.750 (67.545) Epoch: [21][6970/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1841 (2.6677) Prec@1 48.438 (42.436) Prec@5 73.438 (67.545) Epoch: [21][6980/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8976 (2.6678) Prec@1 40.625 (42.433) Prec@5 65.625 (67.543) Epoch: [21][6990/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3710 (2.6676) Prec@1 45.312 (42.435) Prec@5 71.875 (67.546) Epoch: [21][7000/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.4032 (2.6675) Prec@1 45.312 (42.435) Prec@5 72.656 (67.548) Epoch: [21][7010/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.2002 (2.6674) Prec@1 50.000 (42.440) Prec@5 74.219 (67.550) Epoch: [21][7020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.2174 (2.6674) Prec@1 40.625 (42.441) Prec@5 59.375 (67.551) Epoch: [21][7030/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7820 (2.6674) Prec@1 44.531 (42.442) Prec@5 64.844 (67.549) Epoch: [21][7040/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6172 (2.6674) Prec@1 42.969 (42.443) Prec@5 66.406 (67.548) Epoch: [21][7050/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7861 (2.6673) Prec@1 43.750 (42.444) Prec@5 63.281 (67.549) Epoch: [21][7060/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5217 (2.6673) Prec@1 42.969 (42.441) Prec@5 68.750 (67.548) Epoch: [21][7070/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.7795 (2.6674) Prec@1 39.844 (42.441) Prec@5 65.625 (67.545) Epoch: [21][7080/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6896 (2.6674) Prec@1 41.406 (42.440) Prec@5 66.406 (67.544) Epoch: [21][7090/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4697 (2.6673) Prec@1 44.531 (42.443) Prec@5 70.312 (67.544) /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: [21][7100/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8222 (2.6672) Prec@1 38.281 (42.445) Prec@5 67.969 (67.548) Epoch: [21][7110/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5651 (2.6672) Prec@1 46.875 (42.446) Prec@5 67.969 (67.549) Epoch: [21][7120/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6386 (2.6672) Prec@1 40.625 (42.448) Prec@5 66.406 (67.547) Epoch: [21][7130/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9560 (2.6673) Prec@1 39.062 (42.448) Prec@5 63.281 (67.544) Epoch: [21][7140/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6645 (2.6672) Prec@1 40.625 (42.450) Prec@5 67.969 (67.546) Epoch: [21][7150/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6580 (2.6673) Prec@1 39.062 (42.450) Prec@5 68.750 (67.544) Epoch: [21][7160/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6381 (2.6672) Prec@1 41.406 (42.452) Prec@5 72.656 (67.546) Epoch: [21][7170/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7901 (2.6674) Prec@1 37.500 (42.450) Prec@5 64.062 (67.545) Epoch: [21][7180/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6664 (2.6674) Prec@1 42.188 (42.448) Prec@5 67.969 (67.545) Epoch: [21][7190/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6380 (2.6676) Prec@1 40.625 (42.447) Prec@5 66.406 (67.542) Epoch: [21][7200/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6231 (2.6675) Prec@1 42.188 (42.447) Prec@5 66.406 (67.543) Epoch: [21][7210/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0136 (2.6673) Prec@1 38.281 (42.450) Prec@5 62.500 (67.546) Epoch: [21][7220/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8935 (2.6673) Prec@1 38.281 (42.450) Prec@5 65.625 (67.547) Epoch: [21][7230/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.3185 (2.6674) Prec@1 50.781 (42.447) Prec@5 75.000 (67.548) Epoch: [21][7240/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 2.4845 (2.6676) Prec@1 47.656 (42.442) Prec@5 68.750 (67.543) Epoch: [21][7250/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.7802 (2.6677) Prec@1 39.062 (42.440) Prec@5 67.188 (67.542) Epoch: [21][7260/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4664 (2.6675) Prec@1 42.969 (42.442) Prec@5 69.531 (67.543) Epoch: [21][7270/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9190 (2.6677) Prec@1 40.625 (42.441) Prec@5 62.500 (67.541) Epoch: [21][7280/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8072 (2.6677) Prec@1 34.375 (42.441) Prec@5 60.156 (67.539) Epoch: [21][7290/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5722 (2.6677) Prec@1 39.062 (42.442) Prec@5 68.750 (67.539) Epoch: [21][7300/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7217 (2.6676) Prec@1 38.281 (42.444) Prec@5 65.625 (67.541) Epoch: [21][7310/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7526 (2.6677) Prec@1 34.375 (42.443) Prec@5 64.844 (67.540) Epoch: [21][7320/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4379 (2.6676) Prec@1 42.969 (42.442) Prec@5 71.875 (67.540) Epoch: [21][7330/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6898 (2.6676) Prec@1 41.406 (42.439) Prec@5 65.625 (67.541) Epoch: [21][7340/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7411 (2.6677) Prec@1 40.625 (42.437) Prec@5 66.406 (67.540) Epoch: [21][7350/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.5051 (2.6677) Prec@1 47.656 (42.439) Prec@5 72.656 (67.540) Epoch: [21][7360/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6113 (2.6677) Prec@1 47.656 (42.440) Prec@5 64.062 (67.539) Epoch: [21][7370/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6776 (2.6675) Prec@1 46.875 (42.444) Prec@5 65.625 (67.542) Epoch: [21][7380/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6395 (2.6676) Prec@1 43.750 (42.443) Prec@5 64.844 (67.542) Epoch: [21][7390/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6723 (2.6675) Prec@1 39.062 (42.443) Prec@5 67.188 (67.543) Epoch: [21][7400/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4808 (2.6675) Prec@1 51.562 (42.442) Prec@5 67.188 (67.541) Epoch: [21][7410/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7360 (2.6676) Prec@1 40.625 (42.441) Prec@5 65.625 (67.540) Epoch: [21][7420/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5121 (2.6676) Prec@1 48.438 (42.441) Prec@5 70.312 (67.541) Epoch: [21][7430/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7786 (2.6677) Prec@1 43.750 (42.442) Prec@5 64.844 (67.538) Epoch: [21][7440/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9063 (2.6677) Prec@1 39.844 (42.441) Prec@5 66.406 (67.540) Epoch: [21][7450/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5472 (2.6676) Prec@1 43.750 (42.443) Prec@5 67.969 (67.540) Epoch: [21][7460/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.2955 (2.6675) Prec@1 47.656 (42.446) Prec@5 72.656 (67.541) Epoch: [21][7470/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9113 (2.6677) Prec@1 38.281 (42.443) Prec@5 62.500 (67.540) Epoch: [21][7480/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6907 (2.6676) Prec@1 45.312 (42.444) Prec@5 66.406 (67.542) Epoch: [21][7490/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7359 (2.6677) Prec@1 42.969 (42.441) Prec@5 67.969 (67.542) Epoch: [21][7500/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7404 (2.6677) Prec@1 41.406 (42.440) Prec@5 67.969 (67.542) Epoch: [21][7510/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7593 (2.6678) Prec@1 39.844 (42.438) Prec@5 64.844 (67.541) Epoch: [21][7520/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4875 (2.6678) Prec@1 42.188 (42.436) Prec@5 67.188 (67.542) Epoch: [21][7530/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.1987 (2.6677) Prec@1 39.062 (42.436) Prec@5 57.031 (67.543) Epoch: [21][7540/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7266 (2.6679) Prec@1 44.531 (42.437) Prec@5 60.156 (67.541) Epoch: [21][7550/10010] Time 0.328 (0.331) Data 0.003 (0.001) Loss 2.7084 (2.6679) Prec@1 42.188 (42.435) Prec@5 64.844 (67.540) Epoch: [21][7560/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4997 (2.6679) Prec@1 43.750 (42.434) Prec@5 73.438 (67.540) Epoch: [21][7570/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4172 (2.6679) Prec@1 42.188 (42.431) Prec@5 71.875 (67.538) Epoch: [21][7580/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1892 (2.6678) Prec@1 49.219 (42.432) Prec@5 75.781 (67.539) Epoch: [21][7590/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3501 (2.6677) Prec@1 39.844 (42.433) Prec@5 72.656 (67.542) Epoch: [21][7600/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7810 (2.6677) Prec@1 39.062 (42.432) Prec@5 64.844 (67.543) Epoch: [21][7610/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4693 (2.6677) Prec@1 45.312 (42.433) Prec@5 67.969 (67.543) Epoch: [21][7620/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4081 (2.6676) Prec@1 44.531 (42.434) Prec@5 72.656 (67.545) Epoch: [21][7630/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7423 (2.6676) Prec@1 42.188 (42.435) Prec@5 67.969 (67.545) Epoch: [21][7640/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8230 (2.6677) Prec@1 38.281 (42.434) Prec@5 64.844 (67.542) Epoch: [21][7650/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6386 (2.6677) Prec@1 41.406 (42.432) Prec@5 74.219 (67.542) Epoch: [21][7660/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6212 (2.6677) Prec@1 42.188 (42.434) Prec@5 69.531 (67.544) Epoch: [21][7670/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7892 (2.6677) Prec@1 39.062 (42.431) Prec@5 64.844 (67.545) Epoch: [21][7680/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5344 (2.6675) Prec@1 45.312 (42.433) Prec@5 68.750 (67.548) Epoch: [21][7690/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7819 (2.6674) Prec@1 40.625 (42.434) Prec@5 70.312 (67.551) Epoch: [21][7700/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7823 (2.6673) Prec@1 46.875 (42.436) Prec@5 63.281 (67.552) Epoch: [21][7710/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7505 (2.6673) Prec@1 39.844 (42.436) Prec@5 64.062 (67.552) Epoch: [21][7720/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.8404 (2.6673) Prec@1 41.406 (42.438) Prec@5 65.625 (67.551) Epoch: [21][7730/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7357 (2.6674) Prec@1 42.188 (42.436) Prec@5 66.406 (67.548) Epoch: [21][7740/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6260 (2.6675) Prec@1 43.750 (42.435) Prec@5 67.969 (67.547) Epoch: [21][7750/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9523 (2.6673) Prec@1 45.312 (42.438) Prec@5 67.969 (67.548) Epoch: [21][7760/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.3515 (2.6672) Prec@1 52.344 (42.441) Prec@5 71.875 (67.551) Epoch: [21][7770/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.5443 (2.6673) Prec@1 45.312 (42.439) Prec@5 71.094 (67.550) Epoch: [21][7780/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7762 (2.6671) Prec@1 35.938 (42.443) Prec@5 67.969 (67.552) Epoch: [21][7790/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4119 (2.6672) Prec@1 44.531 (42.442) Prec@5 71.875 (67.550) Epoch: [21][7800/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6950 (2.6671) Prec@1 39.844 (42.442) Prec@5 68.750 (67.550) Epoch: [21][7810/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7835 (2.6672) Prec@1 39.844 (42.440) Prec@5 70.312 (67.548) Epoch: [21][7820/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.1043 (2.6673) Prec@1 33.594 (42.440) Prec@5 60.938 (67.548) Epoch: [21][7830/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9213 (2.6673) Prec@1 43.750 (42.437) Prec@5 64.844 (67.548) Epoch: [21][7840/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9677 (2.6674) Prec@1 33.594 (42.433) Prec@5 63.281 (67.549) Epoch: [21][7850/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5798 (2.6673) Prec@1 39.844 (42.432) Prec@5 71.875 (67.550) Epoch: [21][7860/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6689 (2.6673) Prec@1 46.094 (42.432) Prec@5 67.188 (67.550) Epoch: [21][7870/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5324 (2.6673) Prec@1 43.750 (42.434) Prec@5 70.312 (67.551) Epoch: [21][7880/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8675 (2.6674) Prec@1 37.500 (42.434) Prec@5 65.625 (67.550) Epoch: [21][7890/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7258 (2.6674) Prec@1 39.062 (42.431) Prec@5 71.875 (67.550) Epoch: [21][7900/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.2052 (2.6676) Prec@1 34.375 (42.426) Prec@5 57.031 (67.544) Epoch: [21][7910/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3572 (2.6676) Prec@1 44.531 (42.428) Prec@5 71.094 (67.545) Epoch: [21][7920/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9330 (2.6676) Prec@1 35.938 (42.428) Prec@5 68.750 (67.546) Epoch: [21][7930/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0656 (2.6677) Prec@1 35.156 (42.425) Prec@5 61.719 (67.542) Epoch: [21][7940/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7724 (2.6679) Prec@1 38.281 (42.425) Prec@5 66.406 (67.540) Epoch: [21][7950/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6082 (2.6680) Prec@1 45.312 (42.419) Prec@5 68.750 (67.537) Epoch: [21][7960/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5911 (2.6681) Prec@1 42.188 (42.420) Prec@5 69.531 (67.536) Epoch: [21][7970/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4653 (2.6682) Prec@1 46.094 (42.420) Prec@5 71.094 (67.535) Epoch: [21][7980/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5094 (2.6682) Prec@1 41.406 (42.418) Prec@5 70.312 (67.534) Epoch: [21][7990/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.1343 (2.6684) Prec@1 31.250 (42.413) Prec@5 61.719 (67.530) Epoch: [21][8000/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6924 (2.6683) Prec@1 41.406 (42.416) Prec@5 64.062 (67.531) Epoch: [21][8010/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8311 (2.6683) Prec@1 38.281 (42.416) Prec@5 64.844 (67.532) Epoch: [21][8020/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6850 (2.6682) Prec@1 44.531 (42.416) Prec@5 72.656 (67.536) Epoch: [21][8030/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.1135 (2.6683) Prec@1 37.500 (42.415) Prec@5 60.938 (67.535) Epoch: [21][8040/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6134 (2.6683) Prec@1 43.750 (42.416) Prec@5 65.625 (67.535) Epoch: [21][8050/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6283 (2.6683) Prec@1 42.969 (42.417) Prec@5 65.625 (67.535) Epoch: [21][8060/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6792 (2.6683) Prec@1 39.844 (42.416) Prec@5 65.625 (67.535) Epoch: [21][8070/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8423 (2.6682) Prec@1 37.500 (42.414) Prec@5 65.625 (67.535) Epoch: [21][8080/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9950 (2.6683) Prec@1 42.188 (42.415) Prec@5 62.500 (67.536) Epoch: [21][8090/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6903 (2.6684) Prec@1 44.531 (42.415) Prec@5 64.844 (67.534) Epoch: [21][8100/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5728 (2.6683) Prec@1 49.219 (42.414) Prec@5 74.219 (67.535) Epoch: [21][8110/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0268 (2.6685) Prec@1 38.281 (42.413) Prec@5 58.594 (67.533) Epoch: [21][8120/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9990 (2.6685) Prec@1 36.719 (42.412) Prec@5 63.281 (67.533) Epoch: [21][8130/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8390 (2.6686) Prec@1 39.062 (42.413) Prec@5 67.188 (67.530) Epoch: [21][8140/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5551 (2.6686) Prec@1 43.750 (42.415) Prec@5 67.188 (67.531) Epoch: [21][8150/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7584 (2.6685) Prec@1 36.719 (42.416) Prec@5 67.969 (67.532) Epoch: [21][8160/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9882 (2.6686) Prec@1 38.281 (42.414) Prec@5 60.938 (67.531) Epoch: [21][8170/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4742 (2.6685) Prec@1 46.094 (42.416) Prec@5 71.875 (67.533) Epoch: [21][8180/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8327 (2.6685) Prec@1 39.844 (42.415) Prec@5 66.406 (67.534) Epoch: [21][8190/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6366 (2.6686) Prec@1 42.969 (42.415) Prec@5 69.531 (67.532) Epoch: [21][8200/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8165 (2.6687) Prec@1 39.844 (42.413) Prec@5 64.844 (67.530) Epoch: [21][8210/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0408 (2.6689) Prec@1 36.719 (42.409) Prec@5 56.250 (67.527) Epoch: [21][8220/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9868 (2.6691) Prec@1 39.062 (42.407) Prec@5 64.062 (67.525) Epoch: [21][8230/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7810 (2.6691) Prec@1 35.156 (42.404) Prec@5 67.969 (67.524) Epoch: [21][8240/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9903 (2.6691) Prec@1 34.375 (42.405) Prec@5 59.375 (67.525) Epoch: [21][8250/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6687 (2.6691) Prec@1 39.844 (42.405) Prec@5 69.531 (67.526) Epoch: [21][8260/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6457 (2.6693) Prec@1 43.750 (42.403) Prec@5 64.062 (67.524) Epoch: [21][8270/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8845 (2.6694) Prec@1 36.719 (42.402) Prec@5 63.281 (67.522) Epoch: [21][8280/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8264 (2.6693) Prec@1 41.406 (42.404) Prec@5 67.188 (67.525) Epoch: [21][8290/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4933 (2.6693) Prec@1 50.781 (42.406) Prec@5 69.531 (67.524) Epoch: [21][8300/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0681 (2.6694) Prec@1 33.594 (42.405) Prec@5 59.375 (67.522) Epoch: [21][8310/10010] Time 0.352 (0.331) Data 0.001 (0.001) Loss 2.9203 (2.6695) Prec@1 41.406 (42.404) Prec@5 66.406 (67.522) Epoch: [21][8320/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6690 (2.6696) Prec@1 42.188 (42.403) Prec@5 64.844 (67.518) Epoch: [21][8330/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8729 (2.6698) Prec@1 41.406 (42.403) Prec@5 64.844 (67.514) Epoch: [21][8340/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7166 (2.6697) Prec@1 41.406 (42.402) Prec@5 62.500 (67.513) Epoch: [21][8350/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.9463 (2.6698) Prec@1 42.188 (42.401) Prec@5 64.844 (67.511) Epoch: [21][8360/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6255 (2.6697) Prec@1 44.531 (42.403) Prec@5 67.188 (67.511) Epoch: [21][8370/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5349 (2.6698) Prec@1 45.312 (42.402) Prec@5 67.969 (67.509) Epoch: [21][8380/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6956 (2.6699) Prec@1 37.500 (42.400) Prec@5 64.844 (67.507) Epoch: [21][8390/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7432 (2.6699) Prec@1 42.188 (42.399) Prec@5 66.406 (67.508) Epoch: [21][8400/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9719 (2.6699) Prec@1 35.156 (42.399) Prec@5 67.188 (67.509) Epoch: [21][8410/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9377 (2.6699) Prec@1 39.062 (42.398) Prec@5 64.062 (67.510) Epoch: [21][8420/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6559 (2.6700) Prec@1 43.750 (42.396) Prec@5 67.188 (67.508) Epoch: [21][8430/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5394 (2.6702) Prec@1 42.188 (42.395) Prec@5 71.875 (67.504) Epoch: [21][8440/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6068 (2.6701) Prec@1 43.750 (42.396) Prec@5 67.188 (67.505) Epoch: [21][8450/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.2398 (2.6700) Prec@1 53.125 (42.397) Prec@5 71.094 (67.507) Epoch: [21][8460/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4576 (2.6700) Prec@1 50.781 (42.399) Prec@5 71.875 (67.508) Epoch: [21][8470/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4269 (2.6700) Prec@1 45.312 (42.398) Prec@5 74.219 (67.507) Epoch: [21][8480/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6908 (2.6700) Prec@1 39.844 (42.400) Prec@5 63.281 (67.506) Epoch: [21][8490/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4718 (2.6699) Prec@1 40.625 (42.399) Prec@5 72.656 (67.508) Epoch: [21][8500/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.3110 (2.6698) Prec@1 50.000 (42.403) Prec@5 79.688 (67.510) Epoch: [21][8510/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.8548 (2.6698) Prec@1 33.594 (42.403) Prec@5 60.938 (67.511) Epoch: [21][8520/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6849 (2.6698) Prec@1 39.844 (42.402) Prec@5 67.969 (67.512) Epoch: [21][8530/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8004 (2.6699) Prec@1 41.406 (42.399) Prec@5 65.625 (67.510) Epoch: [21][8540/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8670 (2.6701) Prec@1 38.281 (42.396) Prec@5 60.938 (67.508) Epoch: [21][8550/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7101 (2.6701) Prec@1 40.625 (42.394) Prec@5 67.969 (67.509) Epoch: [21][8560/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2628 (2.6701) Prec@1 42.188 (42.394) Prec@5 74.219 (67.509) Epoch: [21][8570/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5349 (2.6700) Prec@1 44.531 (42.397) Prec@5 72.656 (67.510) Epoch: [21][8580/10010] Time 0.335 (0.331) Data 0.003 (0.001) Loss 2.5158 (2.6700) Prec@1 42.188 (42.397) Prec@5 64.844 (67.510) Epoch: [21][8590/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8767 (2.6701) Prec@1 46.094 (42.396) Prec@5 65.625 (67.511) Epoch: [21][8600/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6554 (2.6701) Prec@1 43.750 (42.397) Prec@5 64.844 (67.511) Epoch: [21][8610/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6334 (2.6701) Prec@1 45.312 (42.399) Prec@5 68.750 (67.511) Epoch: [21][8620/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3587 (2.6701) Prec@1 44.531 (42.399) Prec@5 75.000 (67.511) Epoch: [21][8630/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0129 (2.6701) Prec@1 33.594 (42.396) Prec@5 61.719 (67.511) Epoch: [21][8640/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.0485 (2.6703) Prec@1 39.062 (42.394) Prec@5 61.719 (67.509) Epoch: [21][8650/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6407 (2.6703) Prec@1 42.969 (42.392) Prec@5 67.188 (67.508) Epoch: [21][8660/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9408 (2.6703) Prec@1 41.406 (42.393) Prec@5 60.938 (67.508) Epoch: [21][8670/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3211 (2.6704) Prec@1 51.562 (42.393) Prec@5 71.875 (67.507) Epoch: [21][8680/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5585 (2.6704) Prec@1 47.656 (42.394) Prec@5 68.750 (67.506) Epoch: [21][8690/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5628 (2.6703) Prec@1 40.625 (42.395) Prec@5 71.094 (67.507) Epoch: [21][8700/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7239 (2.6704) Prec@1 38.281 (42.395) Prec@5 65.625 (67.505) Epoch: [21][8710/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8503 (2.6705) Prec@1 38.281 (42.393) Prec@5 60.938 (67.503) Epoch: [21][8720/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5898 (2.6705) Prec@1 43.750 (42.390) Prec@5 66.406 (67.502) Epoch: [21][8730/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.9939 (2.6705) Prec@1 38.281 (42.392) Prec@5 60.156 (67.503) Epoch: [21][8740/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7439 (2.6704) Prec@1 39.844 (42.393) Prec@5 67.188 (67.505) Epoch: [21][8750/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3211 (2.6703) Prec@1 53.125 (42.398) Prec@5 75.781 (67.508) Epoch: [21][8760/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5443 (2.6703) Prec@1 46.875 (42.398) Prec@5 69.531 (67.507) Epoch: [21][8770/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6300 (2.6703) Prec@1 39.844 (42.400) Prec@5 67.188 (67.506) Epoch: [21][8780/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6457 (2.6704) Prec@1 36.719 (42.397) Prec@5 70.312 (67.505) Epoch: [21][8790/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6727 (2.6704) Prec@1 42.969 (42.397) Prec@5 66.406 (67.504) Epoch: [21][8800/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8560 (2.6706) Prec@1 42.188 (42.394) Prec@5 66.406 (67.501) Epoch: [21][8810/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3813 (2.6706) Prec@1 46.875 (42.395) Prec@5 71.094 (67.502) Epoch: [21][8820/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5712 (2.6706) Prec@1 45.312 (42.396) Prec@5 68.750 (67.501) Epoch: [21][8830/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9607 (2.6708) Prec@1 33.594 (42.392) Prec@5 64.062 (67.498) Epoch: [21][8840/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9040 (2.6708) Prec@1 39.062 (42.392) Prec@5 61.719 (67.499) Epoch: [21][8850/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4604 (2.6708) Prec@1 46.875 (42.392) Prec@5 73.438 (67.498) Epoch: [21][8860/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7614 (2.6710) Prec@1 40.625 (42.388) Prec@5 65.625 (67.496) Epoch: [21][8870/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7847 (2.6711) Prec@1 42.969 (42.385) Prec@5 68.750 (67.493) Epoch: [21][8880/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6757 (2.6711) Prec@1 41.406 (42.387) Prec@5 62.500 (67.493) Epoch: [21][8890/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.1004 (2.6712) Prec@1 44.531 (42.387) Prec@5 57.812 (67.492) Epoch: [21][8900/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9812 (2.6712) Prec@1 41.406 (42.387) Prec@5 65.625 (67.492) Epoch: [21][8910/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5131 (2.6712) Prec@1 43.750 (42.385) Prec@5 70.312 (67.493) Epoch: [21][8920/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9736 (2.6713) Prec@1 35.156 (42.384) Prec@5 64.062 (67.491) Epoch: [21][8930/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8368 (2.6713) Prec@1 39.062 (42.384) Prec@5 63.281 (67.491) Epoch: [21][8940/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7027 (2.6713) Prec@1 39.844 (42.382) Prec@5 67.969 (67.489) Epoch: [21][8950/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8166 (2.6714) Prec@1 40.625 (42.382) Prec@5 65.625 (67.489) Epoch: [21][8960/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7718 (2.6714) Prec@1 40.625 (42.383) Prec@5 68.750 (67.489) Epoch: [21][8970/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6805 (2.6715) Prec@1 41.406 (42.382) Prec@5 67.188 (67.488) Epoch: [21][8980/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.6741 (2.6716) Prec@1 42.188 (42.380) Prec@5 71.094 (67.488) Epoch: [21][8990/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9436 (2.6716) Prec@1 35.938 (42.380) Prec@5 66.406 (67.489) Epoch: [21][9000/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6400 (2.6716) Prec@1 44.531 (42.379) Prec@5 67.969 (67.489) Epoch: [21][9010/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4787 (2.6716) Prec@1 50.000 (42.380) Prec@5 71.094 (67.488) Epoch: [21][9020/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4236 (2.6716) Prec@1 45.312 (42.379) Prec@5 75.000 (67.485) Epoch: [21][9030/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6457 (2.6716) Prec@1 36.719 (42.381) Prec@5 66.406 (67.485) Epoch: [21][9040/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.5216 (2.6716) Prec@1 46.094 (42.380) Prec@5 67.969 (67.486) Epoch: [21][9050/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8026 (2.6715) Prec@1 40.625 (42.381) Prec@5 68.750 (67.487) Epoch: [21][9060/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7554 (2.6715) Prec@1 45.312 (42.382) Prec@5 71.094 (67.488) Epoch: [21][9070/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6154 (2.6716) Prec@1 41.406 (42.378) Prec@5 67.188 (67.487) Epoch: [21][9080/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6569 (2.6717) Prec@1 39.844 (42.378) Prec@5 68.750 (67.486) Epoch: [21][9090/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8695 (2.6716) Prec@1 40.625 (42.378) Prec@5 63.281 (67.487) Epoch: [21][9100/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7170 (2.6715) Prec@1 35.938 (42.380) Prec@5 67.188 (67.488) Epoch: [21][9110/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.0490 (2.6716) Prec@1 34.375 (42.377) Prec@5 63.281 (67.487) Epoch: [21][9120/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8929 (2.6717) Prec@1 34.375 (42.376) Prec@5 64.844 (67.487) Epoch: [21][9130/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7664 (2.6716) Prec@1 36.719 (42.376) Prec@5 67.969 (67.489) Epoch: [21][9140/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5492 (2.6716) Prec@1 43.750 (42.375) Prec@5 63.281 (67.486) Epoch: [21][9150/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5519 (2.6717) Prec@1 42.188 (42.375) Prec@5 69.531 (67.486) Epoch: [21][9160/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7265 (2.6717) Prec@1 38.281 (42.374) Prec@5 65.625 (67.485) Epoch: [21][9170/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8216 (2.6717) Prec@1 40.625 (42.374) Prec@5 64.062 (67.485) Epoch: [21][9180/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5026 (2.6717) Prec@1 46.094 (42.374) Prec@5 69.531 (67.486) Epoch: [21][9190/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8691 (2.6718) Prec@1 39.062 (42.372) Prec@5 64.062 (67.483) Epoch: [21][9200/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.1080 (2.6719) Prec@1 33.594 (42.369) Prec@5 63.281 (67.481) Epoch: [21][9210/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7588 (2.6719) Prec@1 39.062 (42.371) Prec@5 68.750 (67.482) Epoch: [21][9220/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7666 (2.6718) Prec@1 39.844 (42.374) Prec@5 66.406 (67.485) Epoch: [21][9230/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5036 (2.6718) Prec@1 44.531 (42.373) Prec@5 71.875 (67.485) Epoch: [21][9240/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7788 (2.6717) Prec@1 33.594 (42.373) Prec@5 66.406 (67.486) Epoch: [21][9250/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.3925 (2.6718) Prec@1 47.656 (42.373) Prec@5 72.656 (67.485) Epoch: [21][9260/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8392 (2.6719) Prec@1 39.844 (42.371) Prec@5 64.844 (67.482) Epoch: [21][9270/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3899 (2.6720) Prec@1 49.219 (42.370) Prec@5 72.656 (67.483) Epoch: [21][9280/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6452 (2.6720) Prec@1 43.750 (42.370) Prec@5 65.625 (67.481) Epoch: [21][9290/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5288 (2.6720) Prec@1 46.875 (42.370) Prec@5 64.844 (67.480) Epoch: [21][9300/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7974 (2.6721) Prec@1 40.625 (42.370) Prec@5 65.625 (67.480) Epoch: [21][9310/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6115 (2.6721) Prec@1 42.969 (42.370) Prec@5 71.094 (67.480) Epoch: [21][9320/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8472 (2.6720) Prec@1 37.500 (42.371) Prec@5 67.969 (67.483) Epoch: [21][9330/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.3061 (2.6720) Prec@1 50.000 (42.370) Prec@5 72.656 (67.485) Epoch: [21][9340/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8338 (2.6720) Prec@1 40.625 (42.370) Prec@5 60.156 (67.483) Epoch: [21][9350/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7420 (2.6720) Prec@1 45.312 (42.371) Prec@5 64.844 (67.482) Epoch: [21][9360/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7629 (2.6721) Prec@1 40.625 (42.369) Prec@5 63.281 (67.480) Epoch: [21][9370/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.2157 (2.6720) Prec@1 50.781 (42.370) Prec@5 78.125 (67.481) Epoch: [21][9380/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7538 (2.6719) Prec@1 42.969 (42.371) Prec@5 68.750 (67.481) Epoch: [21][9390/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5220 (2.6719) Prec@1 41.406 (42.373) Prec@5 74.219 (67.482) Epoch: [21][9400/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8884 (2.6718) Prec@1 39.844 (42.372) Prec@5 62.500 (67.482) Epoch: [21][9410/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5847 (2.6718) Prec@1 42.969 (42.373) Prec@5 64.062 (67.483) Epoch: [21][9420/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9190 (2.6719) Prec@1 39.844 (42.372) Prec@5 63.281 (67.480) Epoch: [21][9430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4157 (2.6717) Prec@1 48.438 (42.373) Prec@5 68.750 (67.482) Epoch: [21][9440/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.3101 (2.6716) Prec@1 50.000 (42.373) Prec@5 72.656 (67.482) Epoch: [21][9450/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.1111 (2.6717) Prec@1 36.719 (42.372) Prec@5 64.062 (67.481) Epoch: [21][9460/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8167 (2.6717) Prec@1 39.844 (42.373) Prec@5 63.281 (67.481) Epoch: [21][9470/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5604 (2.6717) Prec@1 41.406 (42.373) Prec@5 70.312 (67.481) Epoch: [21][9480/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3917 (2.6716) Prec@1 48.438 (42.375) Prec@5 73.438 (67.483) Epoch: [21][9490/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5434 (2.6718) Prec@1 44.531 (42.374) Prec@5 68.750 (67.480) Epoch: [21][9500/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8998 (2.6719) Prec@1 35.938 (42.373) Prec@5 63.281 (67.478) Epoch: [21][9510/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6252 (2.6719) Prec@1 44.531 (42.372) Prec@5 67.188 (67.476) Epoch: [21][9520/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5748 (2.6720) Prec@1 43.750 (42.371) Prec@5 71.094 (67.476) Epoch: [21][9530/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.7196 (2.6720) Prec@1 42.969 (42.371) Prec@5 67.969 (67.477) Epoch: [21][9540/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.3654 (2.6720) Prec@1 51.562 (42.372) Prec@5 71.875 (67.477) Epoch: [21][9550/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6151 (2.6720) Prec@1 43.750 (42.372) Prec@5 65.625 (67.476) Epoch: [21][9560/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8301 (2.6721) Prec@1 45.312 (42.372) Prec@5 67.969 (67.474) Epoch: [21][9570/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4334 (2.6721) Prec@1 46.094 (42.373) Prec@5 69.531 (67.474) Epoch: [21][9580/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.3175 (2.6720) Prec@1 51.562 (42.376) Prec@5 75.781 (67.476) Epoch: [21][9590/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.3933 (2.6720) Prec@1 46.875 (42.375) Prec@5 70.312 (67.477) /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: [21][9600/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9188 (2.6720) Prec@1 40.625 (42.375) Prec@5 65.625 (67.476) Epoch: [21][9610/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2952 (2.6719) Prec@1 49.219 (42.377) Prec@5 74.219 (67.478) Epoch: [21][9620/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5164 (2.6720) Prec@1 46.094 (42.378) Prec@5 71.094 (67.477) Epoch: [21][9630/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0200 (2.6720) Prec@1 35.938 (42.376) Prec@5 59.375 (67.476) Epoch: [21][9640/10010] Time 0.352 (0.331) Data 0.000 (0.001) Loss 2.5457 (2.6720) Prec@1 49.219 (42.376) Prec@5 68.750 (67.476) Epoch: [21][9650/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6589 (2.6720) Prec@1 39.844 (42.377) Prec@5 64.062 (67.478) Epoch: [21][9660/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.3073 (2.6720) Prec@1 48.438 (42.379) Prec@5 68.750 (67.478) Epoch: [21][9670/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5033 (2.6719) Prec@1 45.312 (42.379) Prec@5 67.969 (67.478) Epoch: [21][9680/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7212 (2.6718) Prec@1 44.531 (42.381) Prec@5 66.406 (67.480) Epoch: [21][9690/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7622 (2.6720) Prec@1 36.719 (42.379) Prec@5 62.500 (67.477) Epoch: [21][9700/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7993 (2.6719) Prec@1 37.500 (42.380) Prec@5 65.625 (67.478) Epoch: [21][9710/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7798 (2.6719) Prec@1 35.156 (42.380) Prec@5 67.188 (67.478) Epoch: [21][9720/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7259 (2.6719) Prec@1 34.375 (42.378) Prec@5 71.094 (67.477) Epoch: [21][9730/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.2581 (2.6718) Prec@1 49.219 (42.381) Prec@5 73.438 (67.478) Epoch: [21][9740/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8504 (2.6718) Prec@1 41.406 (42.380) Prec@5 65.625 (67.479) Epoch: [21][9750/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4619 (2.6717) Prec@1 37.500 (42.382) Prec@5 67.969 (67.480) Epoch: [21][9760/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9286 (2.6718) Prec@1 29.688 (42.377) Prec@5 64.062 (67.477) Epoch: [21][9770/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6878 (2.6718) Prec@1 38.281 (42.377) Prec@5 63.281 (67.476) Epoch: [21][9780/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7750 (2.6718) Prec@1 39.844 (42.376) Prec@5 68.750 (67.476) Epoch: [21][9790/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.2051 (2.6718) Prec@1 52.344 (42.377) Prec@5 76.562 (67.478) Epoch: [21][9800/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3115 (2.6718) Prec@1 44.531 (42.376) Prec@5 75.781 (67.476) Epoch: [21][9810/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7931 (2.6718) Prec@1 35.938 (42.376) Prec@5 60.938 (67.476) Epoch: [21][9820/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7248 (2.6719) Prec@1 41.406 (42.374) Prec@5 67.969 (67.474) Epoch: [21][9830/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6531 (2.6720) Prec@1 45.312 (42.373) Prec@5 75.000 (67.475) Epoch: [21][9840/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7455 (2.6720) Prec@1 39.844 (42.372) Prec@5 65.625 (67.475) Epoch: [21][9850/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5996 (2.6720) Prec@1 46.875 (42.371) Prec@5 71.094 (67.474) Epoch: [21][9860/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6556 (2.6721) Prec@1 35.938 (42.369) Prec@5 69.531 (67.474) Epoch: [21][9870/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9536 (2.6722) Prec@1 34.375 (42.370) Prec@5 64.062 (67.474) Epoch: [21][9880/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9381 (2.6722) Prec@1 37.500 (42.369) Prec@5 62.500 (67.475) Epoch: [21][9890/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.4533 (2.6721) Prec@1 45.312 (42.371) Prec@5 65.625 (67.474) Epoch: [21][9900/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8028 (2.6721) Prec@1 46.094 (42.373) Prec@5 65.625 (67.474) Epoch: [21][9910/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6415 (2.6720) Prec@1 44.531 (42.375) Prec@5 66.406 (67.476) Epoch: [21][9920/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5566 (2.6720) Prec@1 49.219 (42.376) Prec@5 67.188 (67.476) Epoch: [21][9930/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8462 (2.6720) Prec@1 38.281 (42.375) Prec@5 67.188 (67.477) Epoch: [21][9940/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5162 (2.6721) Prec@1 42.188 (42.373) Prec@5 72.656 (67.474) Epoch: [21][9950/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8155 (2.6722) Prec@1 40.625 (42.371) Prec@5 60.156 (67.474) Epoch: [21][9960/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7816 (2.6721) Prec@1 42.188 (42.373) Prec@5 64.844 (67.476) Epoch: [21][9970/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6078 (2.6720) Prec@1 43.750 (42.373) Prec@5 70.312 (67.478) Epoch: [21][9980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.2204 (2.6721) Prec@1 31.250 (42.371) Prec@5 57.812 (67.478) Epoch: [21][9990/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8129 (2.6721) Prec@1 38.281 (42.372) Prec@5 63.281 (67.477) Epoch: [21][10000/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7649 (2.6721) Prec@1 43.750 (42.372) Prec@5 65.625 (67.477) Test: [0/391] Time 1.501 (1.501) Loss 1.2408 (1.2408) Prec@1 74.219 (74.219) Prec@5 86.719 (86.719) Test: [10/391] Time 0.115 (0.246) Loss 2.8475 (1.7309) Prec@1 42.188 (59.730) Prec@5 65.625 (81.605) Test: [20/391] Time 0.105 (0.179) Loss 2.3331 (2.3000) Prec@1 48.438 (49.479) Prec@5 76.562 (74.628) Test: [30/391] Time 0.105 (0.156) Loss 1.6807 (2.3552) Prec@1 63.281 (47.656) Prec@5 83.594 (74.294) Test: [40/391] Time 0.106 (0.144) Loss 1.8218 (2.1029) Prec@1 60.938 (53.239) Prec@5 82.031 (77.553) Test: [50/391] Time 0.105 (0.138) Loss 0.9786 (2.1632) Prec@1 75.000 (51.900) Prec@5 91.406 (76.762) Test: [60/391] Time 0.103 (0.132) Loss 2.1042 (2.0784) Prec@1 44.531 (52.997) Prec@5 77.344 (78.138) Test: [70/391] Time 0.107 (0.128) Loss 3.5547 (2.1638) Prec@1 16.406 (50.154) Prec@5 54.688 (77.223) Test: [80/391] Time 0.105 (0.125) Loss 3.1040 (2.2177) Prec@1 36.719 (48.322) Prec@5 55.469 (76.273) Test: [90/391] Time 0.101 (0.123) Loss 2.3264 (2.2574) Prec@1 35.938 (47.287) Prec@5 77.344 (75.738) Test: [100/391] Time 0.109 (0.122) Loss 2.1369 (2.2501) Prec@1 42.188 (46.921) Prec@5 79.688 (75.859) Test: [110/391] Time 0.106 (0.121) Loss 2.5880 (2.2465) Prec@1 42.969 (46.664) Prec@5 72.656 (75.992) Test: [120/391] Time 0.107 (0.119) Loss 1.2527 (2.2148) Prec@1 64.844 (47.456) Prec@5 89.844 (76.382) Test: [130/391] Time 0.104 (0.118) Loss 1.1032 (2.2073) Prec@1 77.344 (47.722) Prec@5 88.281 (76.491) Test: [140/391] Time 0.103 (0.118) Loss 2.4572 (2.2096) Prec@1 41.406 (47.795) Prec@5 69.531 (76.430) Test: [150/391] Time 0.102 (0.117) Loss 2.0460 (2.2110) Prec@1 42.188 (47.729) Prec@5 87.500 (76.418) Test: [160/391] Time 0.111 (0.116) Loss 1.9296 (2.2272) Prec@1 51.562 (47.608) Prec@5 77.344 (76.174) Test: [170/391] Time 0.108 (0.116) Loss 2.1870 (2.2608) Prec@1 47.656 (47.131) Prec@5 78.125 (75.690) Test: [180/391] Time 0.105 (0.115) Loss 2.8562 (2.2885) Prec@1 35.938 (46.763) Prec@5 67.969 (75.294) Test: [190/391] Time 0.101 (0.115) Loss 3.0226 (2.3229) Prec@1 46.094 (46.429) Prec@5 71.094 (74.718) Test: [200/391] Time 0.106 (0.114) Loss 2.9702 (2.3736) Prec@1 37.500 (45.581) Prec@5 63.281 (73.978) Test: [210/391] Time 0.127 (0.114) Loss 2.5982 (2.3894) Prec@1 43.750 (45.350) Prec@5 67.969 (73.741) Test: [220/391] Time 0.103 (0.114) Loss 1.6411 (2.3929) Prec@1 63.281 (45.493) Prec@5 83.594 (73.607) Test: [230/391] Time 0.104 (0.113) Loss 3.6873 (2.4019) Prec@1 25.781 (45.461) Prec@5 55.469 (73.417) Test: [240/391] Time 0.102 (0.113) Loss 3.0384 (2.4237) Prec@1 40.625 (45.280) Prec@5 58.594 (72.990) Test: [250/391] Time 0.104 (0.113) Loss 2.3626 (2.4497) Prec@1 50.000 (44.846) Prec@5 72.656 (72.610) Test: [260/391] Time 0.104 (0.112) Loss 3.2207 (2.4662) Prec@1 34.375 (44.543) Prec@5 62.500 (72.396) Test: [270/391] Time 0.115 (0.112) Loss 3.4723 (2.4814) Prec@1 24.219 (44.364) Prec@5 58.594 (72.083) Test: [280/391] Time 0.114 (0.112) Loss 2.2562 (2.4939) Prec@1 46.094 (44.173) Prec@5 77.344 (71.853) Test: [290/391] Time 0.106 (0.112) Loss 3.1938 (2.5056) Prec@1 32.031 (44.094) Prec@5 66.406 (71.641) Test: [300/391] Time 0.104 (0.112) Loss 3.1886 (2.5303) Prec@1 35.156 (43.740) Prec@5 68.750 (71.283) Test: [310/391] Time 0.108 (0.111) Loss 3.4955 (2.5428) Prec@1 31.250 (43.587) Prec@5 57.031 (71.008) Test: [320/391] Time 0.104 (0.111) Loss 2.3064 (2.5594) Prec@1 49.219 (43.397) Prec@5 72.656 (70.704) Test: [330/391] Time 0.108 (0.111) Loss 3.7707 (2.5815) Prec@1 22.656 (43.049) Prec@5 53.125 (70.364) Test: [340/391] Time 0.108 (0.111) Loss 2.0363 (2.5851) Prec@1 38.281 (42.918) Prec@5 86.719 (70.269) Test: [350/391] Time 0.112 (0.111) Loss 2.8008 (2.5919) Prec@1 35.156 (42.713) Prec@5 66.406 (70.163) Test: [360/391] Time 0.105 (0.111) Loss 2.2113 (2.5948) Prec@1 45.312 (42.726) Prec@5 73.438 (70.157) Test: [370/391] Time 0.113 (0.111) Loss 1.6639 (2.5865) Prec@1 58.594 (42.901) Prec@5 85.156 (70.283) Test: [380/391] Time 0.105 (0.111) Loss 2.0234 (2.5887) Prec@1 48.438 (42.876) Prec@5 81.250 (70.241) Test: [390/391] Time 0.072 (0.111) Loss 4.5955 (2.5774) Prec@1 11.250 (43.114) Prec@5 43.750 (70.430) * Prec@1 43.114 Prec@5 70.430 Epoch: [22][0/10010] Time 2.611 (2.611) Data 2.430 (2.430) Loss 2.9096 (2.9096) Prec@1 40.625 (40.625) Prec@5 64.062 (64.062) Epoch: [22][10/10010] Time 0.324 (0.533) Data 0.001 (0.222) Loss 3.0116 (2.7348) Prec@1 37.500 (40.767) Prec@5 64.062 (66.761) Epoch: [22][20/10010] Time 0.323 (0.432) Data 0.001 (0.117) Loss 2.8675 (2.6941) Prec@1 35.156 (41.109) Prec@5 64.844 (67.485) Epoch: [22][30/10010] Time 0.319 (0.396) Data 0.001 (0.079) Loss 2.5128 (2.6896) Prec@1 44.531 (41.356) Prec@5 69.531 (67.137) Epoch: [22][40/10010] Time 0.323 (0.378) Data 0.001 (0.060) Loss 2.5763 (2.6902) Prec@1 41.406 (41.711) Prec@5 71.875 (67.226) Epoch: [22][50/10010] Time 0.329 (0.368) Data 0.001 (0.048) Loss 3.0318 (2.6831) Prec@1 33.594 (41.896) Prec@5 54.688 (67.279) Epoch: [22][60/10010] Time 0.323 (0.362) Data 0.001 (0.041) Loss 2.7244 (2.6747) Prec@1 44.531 (41.944) Prec@5 67.969 (67.316) Epoch: [22][70/10010] Time 0.330 (0.357) Data 0.000 (0.035) Loss 2.4166 (2.6651) Prec@1 42.969 (42.165) Prec@5 76.562 (67.683) Epoch: [22][80/10010] Time 0.327 (0.353) Data 0.000 (0.031) Loss 3.1196 (2.6556) Prec@1 38.281 (42.236) Prec@5 62.500 (67.911) Epoch: [22][90/10010] Time 0.319 (0.351) Data 0.000 (0.027) Loss 2.8523 (2.6528) Prec@1 39.062 (42.084) Prec@5 64.062 (67.866) Epoch: [22][100/10010] Time 0.329 (0.348) Data 0.001 (0.025) Loss 2.4948 (2.6356) Prec@1 42.188 (42.273) Prec@5 71.875 (68.154) Epoch: [22][110/10010] Time 0.342 (0.347) Data 0.001 (0.023) Loss 2.8826 (2.6472) Prec@1 45.312 (42.244) Prec@5 64.062 (67.941) Epoch: [22][120/10010] Time 0.337 (0.345) Data 0.001 (0.021) Loss 2.8443 (2.6503) Prec@1 39.062 (42.155) Prec@5 65.625 (67.898) Epoch: [22][130/10010] Time 0.335 (0.345) Data 0.000 (0.019) Loss 2.7300 (2.6545) Prec@1 42.188 (42.056) Prec@5 67.969 (67.778) Epoch: [22][140/10010] Time 0.325 (0.344) Data 0.001 (0.018) Loss 2.6961 (2.6538) Prec@1 40.625 (42.099) Prec@5 64.062 (67.797) Epoch: [22][150/10010] Time 0.337 (0.344) Data 0.000 (0.017) Loss 2.6513 (2.6522) Prec@1 46.094 (42.229) Prec@5 66.406 (67.876) Epoch: [22][160/10010] Time 0.343 (0.343) Data 0.001 (0.016) Loss 2.4933 (2.6443) Prec@1 39.062 (42.430) Prec@5 69.531 (67.978) Epoch: [22][170/10010] Time 0.331 (0.342) Data 0.001 (0.015) Loss 2.7292 (2.6457) Prec@1 42.188 (42.402) Prec@5 64.062 (67.887) Epoch: [22][180/10010] Time 0.336 (0.342) Data 0.000 (0.014) Loss 2.7124 (2.6502) Prec@1 40.625 (42.352) Prec@5 68.750 (67.900) Epoch: [22][190/10010] Time 0.339 (0.341) Data 0.001 (0.013) Loss 2.4180 (2.6456) Prec@1 43.750 (42.314) Prec@5 71.094 (67.997) Epoch: [22][200/10010] Time 0.340 (0.341) Data 0.001 (0.013) Loss 2.7573 (2.6462) Prec@1 42.188 (42.413) Prec@5 64.062 (68.000) Epoch: [22][210/10010] Time 0.346 (0.341) Data 0.001 (0.012) Loss 2.6486 (2.6512) Prec@1 46.094 (42.339) Prec@5 65.625 (67.906) Epoch: [22][220/10010] Time 0.338 (0.341) Data 0.001 (0.012) Loss 2.2502 (2.6480) Prec@1 51.562 (42.467) Prec@5 75.000 (67.923) Epoch: [22][230/10010] Time 0.336 (0.341) Data 0.001 (0.011) Loss 2.7788 (2.6513) Prec@1 35.156 (42.363) Prec@5 60.938 (67.806) Epoch: [22][240/10010] Time 0.328 (0.340) Data 0.001 (0.011) Loss 2.6942 (2.6527) Prec@1 42.188 (42.330) Prec@5 69.531 (67.732) Epoch: [22][250/10010] Time 0.344 (0.340) Data 0.001 (0.010) Loss 2.7247 (2.6467) Prec@1 42.188 (42.477) Prec@5 68.750 (67.813) Epoch: [22][260/10010] Time 0.339 (0.340) Data 0.001 (0.010) Loss 2.9674 (2.6499) Prec@1 39.844 (42.478) Prec@5 61.719 (67.729) Epoch: [22][270/10010] Time 0.339 (0.340) Data 0.000 (0.010) Loss 2.8326 (2.6489) Prec@1 40.625 (42.502) Prec@5 65.625 (67.764) Epoch: [22][280/10010] Time 0.324 (0.339) Data 0.000 (0.009) Loss 2.5024 (2.6491) Prec@1 42.188 (42.543) Prec@5 67.969 (67.782) Epoch: [22][290/10010] Time 0.332 (0.339) Data 0.001 (0.009) Loss 2.5540 (2.6477) Prec@1 43.750 (42.547) Prec@5 70.312 (67.899) Epoch: [22][300/10010] Time 0.328 (0.338) Data 0.000 (0.009) Loss 2.6556 (2.6456) Prec@1 46.875 (42.673) Prec@5 66.406 (67.914) Epoch: [22][310/10010] Time 0.337 (0.338) Data 0.001 (0.008) Loss 2.4576 (2.6449) Prec@1 42.188 (42.687) Prec@5 69.531 (67.906) Epoch: [22][320/10010] Time 0.345 (0.338) Data 0.001 (0.008) Loss 2.6210 (2.6435) Prec@1 45.312 (42.742) Prec@5 67.188 (67.905) Epoch: [22][330/10010] Time 0.319 (0.338) Data 0.001 (0.008) Loss 2.5008 (2.6423) Prec@1 42.969 (42.761) Prec@5 73.438 (67.903) Epoch: [22][340/10010] Time 0.319 (0.337) Data 0.001 (0.008) Loss 2.7051 (2.6393) Prec@1 41.406 (42.827) Prec@5 60.938 (67.921) Epoch: [22][350/10010] Time 0.335 (0.337) Data 0.001 (0.008) Loss 2.6026 (2.6362) Prec@1 43.750 (42.906) Prec@5 68.750 (67.962) Epoch: [22][360/10010] Time 0.325 (0.337) Data 0.000 (0.007) Loss 2.7304 (2.6371) Prec@1 43.750 (42.925) Prec@5 65.625 (67.921) Epoch: [22][370/10010] Time 0.328 (0.337) Data 0.001 (0.007) Loss 2.7439 (2.6399) Prec@1 42.188 (42.895) Prec@5 65.625 (67.880) Epoch: [22][380/10010] Time 0.334 (0.337) Data 0.001 (0.007) Loss 2.6407 (2.6402) Prec@1 39.844 (42.915) Prec@5 69.531 (67.889) Epoch: [22][390/10010] Time 0.341 (0.337) Data 0.001 (0.007) Loss 2.6235 (2.6402) Prec@1 41.406 (42.869) Prec@5 70.312 (67.905) Epoch: [22][400/10010] Time 0.318 (0.336) Data 0.001 (0.007) Loss 2.4648 (2.6405) Prec@1 48.438 (42.852) Prec@5 71.094 (67.926) Epoch: [22][410/10010] Time 0.322 (0.336) Data 0.001 (0.007) Loss 2.6064 (2.6384) Prec@1 40.625 (42.849) Prec@5 66.406 (67.954) Epoch: [22][420/10010] Time 0.333 (0.336) Data 0.001 (0.006) Loss 2.8691 (2.6398) Prec@1 39.844 (42.789) Prec@5 64.062 (67.926) Epoch: [22][430/10010] Time 0.322 (0.336) Data 0.001 (0.006) Loss 2.6158 (2.6411) Prec@1 42.188 (42.822) Prec@5 68.750 (67.907) Epoch: [22][440/10010] Time 0.333 (0.336) Data 0.001 (0.006) Loss 2.4454 (2.6408) Prec@1 43.750 (42.855) Prec@5 71.875 (67.928) Epoch: [22][450/10010] Time 0.327 (0.336) Data 0.001 (0.006) Loss 2.7153 (2.6388) Prec@1 40.625 (42.905) Prec@5 64.062 (67.951) Epoch: [22][460/10010] Time 0.338 (0.336) Data 0.001 (0.006) Loss 2.0917 (2.6377) Prec@1 53.125 (42.923) Prec@5 77.344 (67.974) Epoch: [22][470/10010] Time 0.336 (0.336) Data 0.001 (0.006) Loss 2.4028 (2.6382) Prec@1 45.312 (42.907) Prec@5 72.656 (67.969) Epoch: [22][480/10010] Time 0.338 (0.336) Data 0.000 (0.006) Loss 2.5360 (2.6382) Prec@1 44.531 (42.909) Prec@5 68.750 (67.938) Epoch: [22][490/10010] Time 0.332 (0.336) Data 0.001 (0.006) Loss 2.8498 (2.6389) Prec@1 41.406 (42.884) Prec@5 64.062 (67.916) Epoch: [22][500/10010] Time 0.318 (0.336) Data 0.001 (0.006) Loss 2.7961 (2.6415) Prec@1 37.500 (42.830) Prec@5 67.188 (67.906) Epoch: [22][510/10010] Time 0.335 (0.335) Data 0.001 (0.005) Loss 2.6119 (2.6423) Prec@1 47.656 (42.810) Prec@5 68.750 (67.892) Epoch: [22][520/10010] Time 0.336 (0.335) Data 0.001 (0.005) Loss 3.0545 (2.6429) Prec@1 39.844 (42.819) Prec@5 62.500 (67.888) /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: [22][530/10010] Time 0.329 (0.335) Data 0.001 (0.005) Loss 2.6621 (2.6436) Prec@1 43.750 (42.800) Prec@5 66.406 (67.910) Epoch: [22][540/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 2.4395 (2.6452) Prec@1 46.094 (42.778) Prec@5 72.656 (67.886) Epoch: [22][550/10010] Time 0.331 (0.335) Data 0.001 (0.005) Loss 2.5932 (2.6439) Prec@1 41.406 (42.835) Prec@5 67.969 (67.915) Epoch: [22][560/10010] Time 0.338 (0.335) Data 0.001 (0.005) Loss 2.4645 (2.6427) Prec@1 44.531 (42.835) Prec@5 70.312 (67.948) Epoch: [22][570/10010] Time 0.328 (0.335) Data 0.001 (0.005) Loss 2.7960 (2.6432) Prec@1 44.531 (42.854) Prec@5 64.844 (67.937) Epoch: [22][580/10010] Time 0.332 (0.335) Data 0.001 (0.005) Loss 2.2292 (2.6421) Prec@1 54.688 (42.893) Prec@5 77.344 (67.974) Epoch: [22][590/10010] Time 0.325 (0.335) Data 0.001 (0.005) Loss 2.2556 (2.6438) Prec@1 53.906 (42.864) Prec@5 72.656 (67.949) Epoch: [22][600/10010] Time 0.337 (0.335) Data 0.001 (0.005) Loss 3.0642 (2.6443) Prec@1 37.500 (42.843) Prec@5 61.719 (67.919) Epoch: [22][610/10010] Time 0.333 (0.335) Data 0.001 (0.005) Loss 2.7847 (2.6448) Prec@1 37.500 (42.846) Prec@5 65.625 (67.893) Epoch: [22][620/10010] Time 0.346 (0.335) Data 0.000 (0.005) Loss 2.3190 (2.6429) Prec@1 50.000 (42.876) Prec@5 72.656 (67.921) Epoch: [22][630/10010] Time 0.346 (0.335) Data 0.000 (0.005) Loss 2.7522 (2.6430) Prec@1 41.406 (42.893) Prec@5 63.281 (67.922) Epoch: [22][640/10010] Time 0.323 (0.335) Data 0.001 (0.004) Loss 2.9301 (2.6423) Prec@1 34.375 (42.908) Prec@5 64.062 (67.937) Epoch: [22][650/10010] Time 0.324 (0.335) Data 0.000 (0.004) Loss 2.8064 (2.6433) Prec@1 41.406 (42.870) Prec@5 67.969 (67.930) Epoch: [22][660/10010] Time 0.327 (0.335) Data 0.001 (0.004) Loss 2.3274 (2.6444) Prec@1 48.438 (42.854) Prec@5 70.312 (67.891) Epoch: [22][670/10010] Time 0.332 (0.334) Data 0.000 (0.004) Loss 2.2868 (2.6436) Prec@1 49.219 (42.867) Prec@5 76.562 (67.913) Epoch: [22][680/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 2.9063 (2.6444) Prec@1 42.188 (42.859) Prec@5 63.281 (67.908) Epoch: [22][690/10010] Time 0.341 (0.335) Data 0.001 (0.004) Loss 2.7420 (2.6446) Prec@1 42.188 (42.864) Prec@5 72.656 (67.921) Epoch: [22][700/10010] Time 0.344 (0.335) Data 0.000 (0.004) Loss 2.6115 (2.6450) Prec@1 39.062 (42.857) Prec@5 68.750 (67.929) Epoch: [22][710/10010] Time 0.322 (0.335) Data 0.001 (0.004) Loss 2.7251 (2.6464) Prec@1 41.406 (42.849) Prec@5 67.188 (67.908) Epoch: [22][720/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 2.5635 (2.6482) Prec@1 43.750 (42.825) Prec@5 67.969 (67.891) /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: [22][730/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 2.4071 (2.6480) Prec@1 47.656 (42.848) Prec@5 72.656 (67.888) Epoch: [22][740/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 2.4354 (2.6453) Prec@1 46.094 (42.903) Prec@5 67.969 (67.928) Epoch: [22][750/10010] Time 0.323 (0.334) Data 0.001 (0.004) Loss 2.5647 (2.6439) Prec@1 40.625 (42.918) Prec@5 66.406 (67.944) Epoch: [22][760/10010] Time 0.338 (0.334) Data 0.001 (0.004) Loss 2.5024 (2.6437) Prec@1 42.969 (42.900) Prec@5 72.656 (67.961) Epoch: [22][770/10010] Time 0.346 (0.334) Data 0.000 (0.004) Loss 2.6545 (2.6446) Prec@1 46.875 (42.906) Prec@5 69.531 (67.967) Epoch: [22][780/10010] Time 0.329 (0.334) Data 0.001 (0.004) Loss 2.5238 (2.6436) Prec@1 42.969 (42.921) Prec@5 73.438 (67.995) Epoch: [22][790/10010] Time 0.322 (0.334) Data 0.001 (0.004) Loss 2.5736 (2.6414) Prec@1 44.531 (42.976) Prec@5 68.750 (68.029) Epoch: [22][800/10010] Time 0.323 (0.334) Data 0.001 (0.004) Loss 2.3830 (2.6408) Prec@1 48.438 (42.982) Prec@5 72.656 (68.041) Epoch: [22][810/10010] Time 0.344 (0.334) Data 0.000 (0.004) Loss 2.9158 (2.6406) Prec@1 32.812 (42.966) Prec@5 66.406 (68.054) Epoch: [22][820/10010] Time 0.333 (0.334) Data 0.001 (0.004) Loss 2.6732 (2.6406) Prec@1 42.188 (42.962) Prec@5 67.969 (68.073) Epoch: [22][830/10010] Time 0.314 (0.334) Data 0.000 (0.004) Loss 2.4572 (2.6406) Prec@1 47.656 (42.964) Prec@5 70.312 (68.073) Epoch: [22][840/10010] Time 0.318 (0.334) Data 0.001 (0.004) Loss 2.8561 (2.6404) Prec@1 39.062 (42.957) Prec@5 62.500 (68.071) Epoch: [22][850/10010] Time 0.327 (0.334) Data 0.000 (0.004) Loss 2.9697 (2.6401) Prec@1 38.281 (42.955) Prec@5 63.281 (68.084) Epoch: [22][860/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 2.6420 (2.6396) Prec@1 39.844 (42.941) Prec@5 69.531 (68.075) Epoch: [22][870/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 2.5196 (2.6395) Prec@1 50.781 (42.941) Prec@5 70.312 (68.089) Epoch: [22][880/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.5092 (2.6409) Prec@1 45.312 (42.914) Prec@5 69.531 (68.060) Epoch: [22][890/10010] Time 0.337 (0.334) Data 0.001 (0.003) Loss 2.8153 (2.6412) Prec@1 38.281 (42.913) Prec@5 64.062 (68.063) Epoch: [22][900/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.5568 (2.6421) Prec@1 46.094 (42.898) Prec@5 72.656 (68.053) Epoch: [22][910/10010] Time 0.335 (0.334) Data 0.000 (0.003) Loss 3.0976 (2.6432) Prec@1 31.250 (42.891) Prec@5 61.719 (68.029) Epoch: [22][920/10010] Time 0.323 (0.334) Data 0.001 (0.003) Loss 2.5666 (2.6430) Prec@1 43.750 (42.887) Prec@5 68.750 (68.029) Epoch: [22][930/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.5695 (2.6428) Prec@1 39.062 (42.872) Prec@5 68.750 (68.026) Epoch: [22][940/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 2.7335 (2.6427) Prec@1 41.406 (42.867) Prec@5 63.281 (68.023) Epoch: [22][950/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.6203 (2.6427) Prec@1 44.531 (42.860) Prec@5 67.188 (68.027) Epoch: [22][960/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.9155 (2.6436) Prec@1 29.688 (42.834) Prec@5 57.031 (68.012) Epoch: [22][970/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 3.0066 (2.6440) Prec@1 34.375 (42.834) Prec@5 58.594 (67.997) Epoch: [22][980/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.3909 (2.6437) Prec@1 51.562 (42.860) Prec@5 71.875 (68.000) Epoch: [22][990/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 2.3974 (2.6434) Prec@1 58.594 (42.880) Prec@5 69.531 (68.008) Epoch: [22][1000/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.7891 (2.6433) Prec@1 43.750 (42.884) Prec@5 64.062 (68.011) Epoch: [22][1010/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.6610 (2.6430) Prec@1 46.094 (42.899) Prec@5 70.312 (68.014) Epoch: [22][1020/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.2584 (2.6429) Prec@1 41.406 (42.888) Prec@5 79.688 (68.020) Epoch: [22][1030/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.6792 (2.6431) Prec@1 40.625 (42.896) Prec@5 67.188 (68.020) Epoch: [22][1040/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.1266 (2.6440) Prec@1 53.906 (42.890) Prec@5 75.000 (67.997) Epoch: [22][1050/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 2.6674 (2.6438) Prec@1 46.094 (42.888) Prec@5 67.969 (68.001) Epoch: [22][1060/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.4645 (2.6432) Prec@1 45.312 (42.886) Prec@5 72.656 (68.013) Epoch: [22][1070/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 2.4536 (2.6432) Prec@1 46.875 (42.886) Prec@5 73.438 (68.012) Epoch: [22][1080/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.7595 (2.6435) Prec@1 32.031 (42.871) Prec@5 65.625 (67.995) Epoch: [22][1090/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 3.1025 (2.6448) Prec@1 38.281 (42.876) Prec@5 59.375 (67.959) Epoch: [22][1100/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 2.8103 (2.6468) Prec@1 43.750 (42.850) Prec@5 63.281 (67.935) Epoch: [22][1110/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.9631 (2.6468) Prec@1 42.969 (42.851) Prec@5 64.844 (67.939) Epoch: [22][1120/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 2.9709 (2.6476) Prec@1 35.156 (42.835) Prec@5 64.062 (67.931) Epoch: [22][1130/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.5567 (2.6471) Prec@1 40.625 (42.846) Prec@5 70.312 (67.940) Epoch: [22][1140/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 2.8257 (2.6467) Prec@1 38.281 (42.854) Prec@5 66.406 (67.951) Epoch: [22][1150/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.7570 (2.6473) Prec@1 41.406 (42.851) Prec@5 65.625 (67.940) Epoch: [22][1160/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.5043 (2.6480) Prec@1 46.094 (42.842) Prec@5 66.406 (67.918) Epoch: [22][1170/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.3458 (2.6480) Prec@1 52.344 (42.856) Prec@5 69.531 (67.909) Epoch: [22][1180/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.4873 (2.6486) Prec@1 43.750 (42.830) Prec@5 71.875 (67.893) Epoch: [22][1190/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.1771 (2.6482) Prec@1 54.688 (42.833) Prec@5 75.781 (67.898) Epoch: [22][1200/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 3.0594 (2.6502) Prec@1 37.500 (42.806) Prec@5 64.844 (67.869) Epoch: [22][1210/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.7485 (2.6500) Prec@1 42.969 (42.813) Prec@5 64.062 (67.878) Epoch: [22][1220/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.5061 (2.6497) Prec@1 46.094 (42.813) Prec@5 71.094 (67.879) Epoch: [22][1230/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.9544 (2.6499) Prec@1 39.844 (42.808) Prec@5 65.625 (67.872) Epoch: [22][1240/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.8458 (2.6504) Prec@1 42.969 (42.808) Prec@5 65.625 (67.874) Epoch: [22][1250/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 2.8481 (2.6512) Prec@1 44.531 (42.810) Prec@5 63.281 (67.855) Epoch: [22][1260/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.5776 (2.6521) Prec@1 42.188 (42.786) Prec@5 65.625 (67.852) Epoch: [22][1270/10010] Time 0.338 (0.333) Data 0.000 (0.003) Loss 2.6451 (2.6525) Prec@1 45.312 (42.761) Prec@5 66.406 (67.843) Epoch: [22][1280/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.4054 (2.6521) Prec@1 50.000 (42.764) Prec@5 72.656 (67.842) Epoch: [22][1290/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.3923 (2.6519) Prec@1 43.750 (42.768) Prec@5 77.344 (67.848) Epoch: [22][1300/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 2.6637 (2.6510) Prec@1 40.625 (42.796) Prec@5 69.531 (67.858) Epoch: [22][1310/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.6387 (2.6508) Prec@1 42.188 (42.787) Prec@5 68.750 (67.857) Epoch: [22][1320/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.7676 (2.6501) Prec@1 46.094 (42.802) Prec@5 65.625 (67.872) Epoch: [22][1330/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 3.0997 (2.6497) Prec@1 30.469 (42.812) Prec@5 57.812 (67.888) Epoch: [22][1340/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.5410 (2.6494) Prec@1 40.625 (42.815) Prec@5 67.188 (67.892) Epoch: [22][1350/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.7021 (2.6495) Prec@1 42.969 (42.791) Prec@5 66.406 (67.891) Epoch: [22][1360/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.6830 (2.6502) Prec@1 39.844 (42.767) Prec@5 65.625 (67.883) Epoch: [22][1370/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.8535 (2.6498) Prec@1 35.156 (42.778) Prec@5 66.406 (67.887) Epoch: [22][1380/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.5346 (2.6502) Prec@1 41.406 (42.787) Prec@5 67.188 (67.875) Epoch: [22][1390/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 2.2483 (2.6495) Prec@1 50.000 (42.799) Prec@5 75.781 (67.878) Epoch: [22][1400/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.6684 (2.6498) Prec@1 42.188 (42.784) Prec@5 71.875 (67.873) Epoch: [22][1410/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5313 (2.6496) Prec@1 50.000 (42.787) Prec@5 65.625 (67.869) Epoch: [22][1420/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7561 (2.6498) Prec@1 39.062 (42.776) Prec@5 62.500 (67.869) Epoch: [22][1430/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.7409 (2.6502) Prec@1 39.844 (42.773) Prec@5 61.719 (67.851) Epoch: [22][1440/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.7683 (2.6495) Prec@1 40.625 (42.777) Prec@5 63.281 (67.858) Epoch: [22][1450/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.5787 (2.6492) Prec@1 41.406 (42.784) Prec@5 69.531 (67.859) Epoch: [22][1460/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.0454 (2.6490) Prec@1 30.469 (42.784) Prec@5 60.156 (67.859) Epoch: [22][1470/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.3877 (2.6494) Prec@1 46.875 (42.778) Prec@5 73.438 (67.852) Epoch: [22][1480/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6579 (2.6498) Prec@1 44.531 (42.775) Prec@5 68.750 (67.835) Epoch: [22][1490/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.9388 (2.6496) Prec@1 39.062 (42.782) Prec@5 64.844 (67.839) Epoch: [22][1500/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.5381 (2.6492) Prec@1 41.406 (42.790) Prec@5 67.188 (67.844) Epoch: [22][1510/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.4468 (2.6484) Prec@1 42.969 (42.797) Prec@5 69.531 (67.856) Epoch: [22][1520/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.3819 (2.6486) Prec@1 48.438 (42.799) Prec@5 69.531 (67.853) Epoch: [22][1530/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.6564 (2.6487) Prec@1 46.094 (42.798) Prec@5 64.844 (67.845) Epoch: [22][1540/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 3.1433 (2.6495) Prec@1 32.812 (42.781) Prec@5 55.469 (67.837) Epoch: [22][1550/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.8110 (2.6499) Prec@1 45.312 (42.786) Prec@5 65.625 (67.825) Epoch: [22][1560/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.5470 (2.6497) Prec@1 43.750 (42.784) Prec@5 67.969 (67.825) Epoch: [22][1570/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8360 (2.6500) Prec@1 40.625 (42.778) Prec@5 69.531 (67.831) Epoch: [22][1580/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6047 (2.6501) Prec@1 43.750 (42.780) Prec@5 67.969 (67.833) Epoch: [22][1590/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.9301 (2.6498) Prec@1 36.719 (42.782) Prec@5 58.594 (67.840) Epoch: [22][1600/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5818 (2.6490) Prec@1 44.531 (42.788) Prec@5 73.438 (67.853) Epoch: [22][1610/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.9895 (2.6486) Prec@1 41.406 (42.795) Prec@5 60.938 (67.852) Epoch: [22][1620/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.4999 (2.6483) Prec@1 43.750 (42.796) Prec@5 70.312 (67.860) Epoch: [22][1630/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.6199 (2.6479) Prec@1 43.750 (42.806) Prec@5 68.750 (67.871) Epoch: [22][1640/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.9027 (2.6483) Prec@1 36.719 (42.800) Prec@5 61.719 (67.864) Epoch: [22][1650/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.2489 (2.6479) Prec@1 46.875 (42.805) Prec@5 75.000 (67.873) Epoch: [22][1660/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5838 (2.6477) Prec@1 39.062 (42.806) Prec@5 67.969 (67.872) Epoch: [22][1670/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.0587 (2.6483) Prec@1 35.156 (42.788) Prec@5 60.156 (67.861) Epoch: [22][1680/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.5691 (2.6485) Prec@1 45.312 (42.788) Prec@5 68.750 (67.859) Epoch: [22][1690/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.9446 (2.6484) Prec@1 39.062 (42.783) Prec@5 60.938 (67.869) Epoch: [22][1700/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.2602 (2.6485) Prec@1 48.438 (42.784) Prec@5 72.656 (67.868) Epoch: [22][1710/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7664 (2.6488) Prec@1 39.062 (42.790) Prec@5 64.844 (67.865) Epoch: [22][1720/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.8975 (2.6490) Prec@1 42.188 (42.781) Prec@5 67.188 (67.862) Epoch: [22][1730/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.7768 (2.6484) Prec@1 42.969 (42.792) Prec@5 67.969 (67.877) Epoch: [22][1740/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.5282 (2.6478) Prec@1 45.312 (42.802) Prec@5 66.406 (67.882) Epoch: [22][1750/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.7188 (2.6480) Prec@1 40.625 (42.798) Prec@5 65.625 (67.880) Epoch: [22][1760/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8658 (2.6480) Prec@1 41.406 (42.802) Prec@5 63.281 (67.883) Epoch: [22][1770/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.4272 (2.6480) Prec@1 44.531 (42.799) Prec@5 76.562 (67.881) Epoch: [22][1780/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7760 (2.6481) Prec@1 39.062 (42.799) Prec@5 64.844 (67.881) Epoch: [22][1790/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.8362 (2.6483) Prec@1 39.062 (42.793) Prec@5 61.719 (67.885) Epoch: [22][1800/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8267 (2.6486) Prec@1 42.188 (42.784) Prec@5 67.188 (67.873) Epoch: [22][1810/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.5233 (2.6487) Prec@1 39.062 (42.777) Prec@5 67.969 (67.876) Epoch: [22][1820/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8542 (2.6485) Prec@1 41.406 (42.777) Prec@5 64.062 (67.881) Epoch: [22][1830/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.6947 (2.6487) Prec@1 46.094 (42.785) Prec@5 65.625 (67.868) Epoch: [22][1840/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.4049 (2.6484) Prec@1 50.781 (42.793) Prec@5 72.656 (67.873) Epoch: [22][1850/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.5438 (2.6482) Prec@1 48.438 (42.802) Prec@5 70.312 (67.878) Epoch: [22][1860/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.8229 (2.6490) Prec@1 39.844 (42.784) Prec@5 63.281 (67.867) Epoch: [22][1870/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.5815 (2.6487) Prec@1 42.188 (42.784) Prec@5 69.531 (67.874) Epoch: [22][1880/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6451 (2.6484) Prec@1 42.969 (42.785) Prec@5 68.750 (67.884) Epoch: [22][1890/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.0631 (2.6486) Prec@1 39.062 (42.778) Prec@5 61.719 (67.886) Epoch: [22][1900/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.5059 (2.6481) Prec@1 44.531 (42.786) Prec@5 69.531 (67.888) Epoch: [22][1910/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7697 (2.6478) Prec@1 39.062 (42.792) Prec@5 67.969 (67.893) Epoch: [22][1920/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.3859 (2.6476) Prec@1 47.656 (42.797) Prec@5 73.438 (67.900) Epoch: [22][1930/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.8008 (2.6481) Prec@1 40.625 (42.791) Prec@5 64.062 (67.890) Epoch: [22][1940/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7658 (2.6484) Prec@1 42.188 (42.779) Prec@5 65.625 (67.883) Epoch: [22][1950/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.7134 (2.6479) Prec@1 46.094 (42.786) Prec@5 71.094 (67.891) Epoch: [22][1960/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.8166 (2.6477) Prec@1 40.625 (42.789) Prec@5 67.969 (67.897) Epoch: [22][1970/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.7058 (2.6484) Prec@1 39.062 (42.776) Prec@5 67.188 (67.882) Epoch: [22][1980/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.9154 (2.6487) Prec@1 39.844 (42.772) Prec@5 67.188 (67.876) Epoch: [22][1990/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.7240 (2.6494) Prec@1 41.406 (42.754) Prec@5 67.969 (67.863) Epoch: [22][2000/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.7407 (2.6497) Prec@1 43.750 (42.756) Prec@5 69.531 (67.863) Epoch: [22][2010/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.4184 (2.6498) Prec@1 47.656 (42.756) Prec@5 71.094 (67.862) Epoch: [22][2020/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.6158 (2.6501) Prec@1 45.312 (42.750) Prec@5 67.969 (67.853) Epoch: [22][2030/10010] Time 0.312 (0.332) Data 0.001 (0.002) Loss 2.4388 (2.6503) Prec@1 46.094 (42.746) Prec@5 75.000 (67.851) Epoch: [22][2040/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.5032 (2.6503) Prec@1 46.094 (42.745) Prec@5 72.656 (67.851) Epoch: [22][2050/10010] Time 0.349 (0.332) Data 0.001 (0.002) Loss 2.3814 (2.6505) Prec@1 45.312 (42.744) Prec@5 71.094 (67.839) Epoch: [22][2060/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6749 (2.6507) Prec@1 46.094 (42.746) Prec@5 67.969 (67.837) Epoch: [22][2070/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6416 (2.6508) Prec@1 45.312 (42.747) Prec@5 70.312 (67.835) Epoch: [22][2080/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6728 (2.6513) Prec@1 44.531 (42.732) Prec@5 67.969 (67.825) Epoch: [22][2090/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.7871 (2.6516) Prec@1 42.188 (42.734) Prec@5 64.844 (67.825) Epoch: [22][2100/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5897 (2.6518) Prec@1 48.438 (42.729) Prec@5 67.188 (67.819) Epoch: [22][2110/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.6660 (2.6514) Prec@1 42.969 (42.741) Prec@5 68.750 (67.830) Epoch: [22][2120/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6618 (2.6513) Prec@1 42.969 (42.742) Prec@5 68.750 (67.830) Epoch: [22][2130/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.3730 (2.6513) Prec@1 45.312 (42.737) Prec@5 70.312 (67.823) Epoch: [22][2140/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.9595 (2.6514) Prec@1 39.844 (42.736) Prec@5 57.812 (67.822) Epoch: [22][2150/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.6994 (2.6514) Prec@1 49.219 (42.733) Prec@5 70.312 (67.823) Epoch: [22][2160/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.5872 (2.6510) Prec@1 43.750 (42.742) Prec@5 72.656 (67.830) Epoch: [22][2170/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.3792 (2.6506) Prec@1 49.219 (42.749) Prec@5 73.438 (67.840) Epoch: [22][2180/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.9373 (2.6503) Prec@1 35.938 (42.756) Prec@5 61.719 (67.846) Epoch: [22][2190/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6929 (2.6505) Prec@1 35.938 (42.753) Prec@5 70.312 (67.848) Epoch: [22][2200/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.7792 (2.6508) Prec@1 36.719 (42.749) Prec@5 68.750 (67.842) Epoch: [22][2210/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.8205 (2.6505) Prec@1 37.500 (42.749) Prec@5 67.188 (67.857) Epoch: [22][2220/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.3253 (2.6501) Prec@1 50.000 (42.757) Prec@5 75.000 (67.868) Epoch: [22][2230/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 3.0821 (2.6502) Prec@1 30.469 (42.750) Prec@5 54.688 (67.864) Epoch: [22][2240/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.5353 (2.6501) Prec@1 44.531 (42.747) Prec@5 66.406 (67.865) Epoch: [22][2250/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.8943 (2.6503) Prec@1 38.281 (42.740) Prec@5 63.281 (67.860) Epoch: [22][2260/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6923 (2.6500) Prec@1 39.844 (42.744) Prec@5 67.969 (67.866) Epoch: [22][2270/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7768 (2.6503) Prec@1 36.719 (42.742) Prec@5 65.625 (67.860) Epoch: [22][2280/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.4394 (2.6499) Prec@1 44.531 (42.747) Prec@5 71.875 (67.866) Epoch: [22][2290/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.3140 (2.6495) Prec@1 48.438 (42.757) Prec@5 78.125 (67.871) Epoch: [22][2300/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.9407 (2.6498) Prec@1 39.844 (42.763) Prec@5 64.062 (67.867) Epoch: [22][2310/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.9492 (2.6499) Prec@1 34.375 (42.754) Prec@5 62.500 (67.865) Epoch: [22][2320/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.7234 (2.6498) Prec@1 46.094 (42.755) Prec@5 65.625 (67.869) Epoch: [22][2330/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6327 (2.6495) Prec@1 43.750 (42.756) Prec@5 66.406 (67.878) Epoch: [22][2340/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6412 (2.6497) Prec@1 42.188 (42.749) Prec@5 67.188 (67.871) Epoch: [22][2350/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.6450 (2.6500) Prec@1 46.875 (42.747) Prec@5 71.094 (67.870) Epoch: [22][2360/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6677 (2.6498) Prec@1 39.062 (42.746) Prec@5 72.656 (67.871) Epoch: [22][2370/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8212 (2.6508) Prec@1 43.750 (42.735) Prec@5 64.062 (67.855) Epoch: [22][2380/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.2164 (2.6506) Prec@1 55.469 (42.738) Prec@5 72.656 (67.862) Epoch: [22][2390/10010] Time 0.334 (0.332) Data 0.003 (0.002) Loss 2.7041 (2.6507) Prec@1 42.188 (42.733) Prec@5 65.625 (67.855) Epoch: [22][2400/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.5501 (2.6513) Prec@1 43.750 (42.725) Prec@5 67.188 (67.848) Epoch: [22][2410/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.6003 (2.6517) Prec@1 46.875 (42.730) Prec@5 68.750 (67.839) Epoch: [22][2420/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.5896 (2.6520) Prec@1 45.312 (42.728) Prec@5 65.625 (67.837) Epoch: [22][2430/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.5492 (2.6521) Prec@1 42.969 (42.722) Prec@5 68.750 (67.836) Epoch: [22][2440/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.9379 (2.6520) Prec@1 38.281 (42.722) Prec@5 67.188 (67.840) Epoch: [22][2450/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.5046 (2.6520) Prec@1 47.656 (42.719) Prec@5 72.656 (67.840) Epoch: [22][2460/10010] Time 0.352 (0.332) Data 0.001 (0.002) Loss 2.6467 (2.6519) Prec@1 42.969 (42.723) Prec@5 67.188 (67.837) Epoch: [22][2470/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.4881 (2.6519) Prec@1 43.750 (42.727) Prec@5 71.875 (67.844) Epoch: [22][2480/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.5440 (2.6520) Prec@1 44.531 (42.731) Prec@5 70.312 (67.839) Epoch: [22][2490/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.4491 (2.6522) Prec@1 50.000 (42.729) Prec@5 68.750 (67.834) Epoch: [22][2500/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.4740 (2.6524) Prec@1 46.875 (42.722) Prec@5 67.969 (67.828) Epoch: [22][2510/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.6451 (2.6522) Prec@1 40.625 (42.725) Prec@5 61.719 (67.825) Epoch: [22][2520/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.9171 (2.6527) Prec@1 40.625 (42.719) Prec@5 63.281 (67.818) Epoch: [22][2530/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.5423 (2.6528) Prec@1 41.406 (42.720) Prec@5 68.750 (67.820) Epoch: [22][2540/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.3321 (2.6527) Prec@1 48.438 (42.718) Prec@5 73.438 (67.821) Epoch: [22][2550/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.6524 (2.6530) Prec@1 41.406 (42.711) Prec@5 66.406 (67.820) Epoch: [22][2560/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.5294 (2.6532) Prec@1 46.094 (42.705) Prec@5 71.875 (67.817) Epoch: [22][2570/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6366 (2.6534) Prec@1 44.531 (42.702) Prec@5 72.656 (67.813) Epoch: [22][2580/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7034 (2.6539) Prec@1 41.406 (42.688) Prec@5 67.188 (67.801) Epoch: [22][2590/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.6299 (2.6539) Prec@1 40.625 (42.687) Prec@5 67.188 (67.804) Epoch: [22][2600/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.8003 (2.6543) Prec@1 43.750 (42.689) Prec@5 59.375 (67.802) Epoch: [22][2610/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 2.5504 (2.6542) Prec@1 40.625 (42.691) Prec@5 73.438 (67.808) Epoch: [22][2620/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.5739 (2.6544) Prec@1 48.438 (42.680) Prec@5 64.844 (67.802) Epoch: [22][2630/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.6828 (2.6544) Prec@1 49.219 (42.687) Prec@5 68.750 (67.805) Epoch: [22][2640/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7076 (2.6543) Prec@1 40.625 (42.687) Prec@5 66.406 (67.807) Epoch: [22][2650/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.4593 (2.6545) Prec@1 44.531 (42.679) Prec@5 74.219 (67.805) Epoch: [22][2660/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.4497 (2.6543) Prec@1 41.406 (42.679) Prec@5 72.656 (67.807) Epoch: [22][2670/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.4324 (2.6543) Prec@1 47.656 (42.677) Prec@5 71.094 (67.802) Epoch: [22][2680/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.7619 (2.6545) Prec@1 46.875 (42.670) Prec@5 64.062 (67.798) Epoch: [22][2690/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.6639 (2.6545) Prec@1 47.656 (42.670) Prec@5 67.188 (67.796) Epoch: [22][2700/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.7123 (2.6542) Prec@1 37.500 (42.672) Prec@5 66.406 (67.799) Epoch: [22][2710/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.0054 (2.6544) Prec@1 36.719 (42.669) Prec@5 57.812 (67.792) Epoch: [22][2720/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.5508 (2.6545) Prec@1 41.406 (42.666) Prec@5 67.969 (67.791) Epoch: [22][2730/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7353 (2.6539) Prec@1 35.156 (42.672) Prec@5 71.875 (67.805) Epoch: [22][2740/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.7153 (2.6537) Prec@1 42.969 (42.673) Prec@5 65.625 (67.809) Epoch: [22][2750/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.4567 (2.6541) Prec@1 42.969 (42.667) Prec@5 76.562 (67.808) Epoch: [22][2760/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.8295 (2.6542) Prec@1 38.281 (42.658) Prec@5 66.406 (67.810) Epoch: [22][2770/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 3.0064 (2.6541) Prec@1 35.938 (42.657) Prec@5 68.750 (67.818) Epoch: [22][2780/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.3012 (2.6543) Prec@1 52.344 (42.656) Prec@5 74.219 (67.820) Epoch: [22][2790/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6430 (2.6542) Prec@1 43.750 (42.663) Prec@5 67.188 (67.815) Epoch: [22][2800/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.5246 (2.6542) Prec@1 43.750 (42.669) Prec@5 67.969 (67.809) Epoch: [22][2810/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6462 (2.6543) Prec@1 41.406 (42.669) Prec@5 67.188 (67.811) Epoch: [22][2820/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.3897 (2.6542) Prec@1 42.188 (42.666) Prec@5 72.656 (67.813) Epoch: [22][2830/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.6022 (2.6543) Prec@1 39.844 (42.660) Prec@5 69.531 (67.808) Epoch: [22][2840/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7176 (2.6544) Prec@1 45.312 (42.657) Prec@5 67.188 (67.806) /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: [22][2850/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8189 (2.6550) Prec@1 37.500 (42.649) Prec@5 68.750 (67.802) Epoch: [22][2860/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6583 (2.6554) Prec@1 43.750 (42.643) Prec@5 67.969 (67.796) Epoch: [22][2870/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7096 (2.6553) Prec@1 38.281 (42.644) Prec@5 67.969 (67.798) Epoch: [22][2880/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.7799 (2.6554) Prec@1 39.062 (42.644) Prec@5 64.062 (67.795) Epoch: [22][2890/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 3.0751 (2.6557) Prec@1 33.594 (42.636) Prec@5 53.906 (67.789) Epoch: [22][2900/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7952 (2.6556) Prec@1 42.969 (42.639) Prec@5 67.969 (67.792) Epoch: [22][2910/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7216 (2.6561) Prec@1 47.656 (42.636) Prec@5 63.281 (67.782) Epoch: [22][2920/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6900 (2.6561) Prec@1 33.594 (42.634) Prec@5 71.094 (67.785) Epoch: [22][2930/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9928 (2.6562) Prec@1 39.062 (42.635) Prec@5 62.500 (67.786) Epoch: [22][2940/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.2526 (2.6563) Prec@1 50.000 (42.636) Prec@5 75.781 (67.787) /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: [22][2950/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6008 (2.6563) Prec@1 45.312 (42.632) Prec@5 68.750 (67.786) Epoch: [22][2960/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.5926 (2.6565) Prec@1 41.406 (42.624) Prec@5 71.094 (67.780) Epoch: [22][2970/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.1982 (2.6566) Prec@1 43.750 (42.622) Prec@5 76.562 (67.779) Epoch: [22][2980/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.9580 (2.6568) Prec@1 36.719 (42.619) Prec@5 62.500 (67.775) Epoch: [22][2990/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.3262 (2.6564) Prec@1 46.094 (42.622) Prec@5 75.000 (67.783) Epoch: [22][3000/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6495 (2.6565) Prec@1 43.750 (42.619) Prec@5 66.406 (67.774) Epoch: [22][3010/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8637 (2.6565) Prec@1 35.156 (42.620) Prec@5 63.281 (67.775) Epoch: [22][3020/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8640 (2.6568) Prec@1 39.844 (42.621) Prec@5 66.406 (67.774) Epoch: [22][3030/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9564 (2.6570) Prec@1 41.406 (42.620) Prec@5 61.719 (67.773) Epoch: [22][3040/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5235 (2.6571) Prec@1 43.750 (42.620) Prec@5 68.750 (67.772) Epoch: [22][3050/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7032 (2.6571) Prec@1 38.281 (42.616) Prec@5 67.969 (67.772) Epoch: [22][3060/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7856 (2.6573) Prec@1 39.062 (42.610) Prec@5 66.406 (67.771) Epoch: [22][3070/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5587 (2.6574) Prec@1 46.875 (42.604) Prec@5 73.438 (67.773) Epoch: [22][3080/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8425 (2.6575) Prec@1 39.062 (42.603) Prec@5 62.500 (67.774) Epoch: [22][3090/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5960 (2.6575) Prec@1 43.750 (42.604) Prec@5 70.312 (67.773) Epoch: [22][3100/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.5571 (2.6573) Prec@1 39.844 (42.610) Prec@5 68.750 (67.776) Epoch: [22][3110/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9173 (2.6577) Prec@1 37.500 (42.606) Prec@5 63.281 (67.771) Epoch: [22][3120/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6199 (2.6575) Prec@1 50.000 (42.612) Prec@5 71.094 (67.774) Epoch: [22][3130/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 3.0373 (2.6572) Prec@1 38.281 (42.615) Prec@5 62.500 (67.776) Epoch: [22][3140/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.5739 (2.6571) Prec@1 45.312 (42.618) Prec@5 67.188 (67.780) Epoch: [22][3150/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8725 (2.6573) Prec@1 36.719 (42.613) Prec@5 60.938 (67.780) Epoch: [22][3160/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6402 (2.6571) Prec@1 41.406 (42.615) Prec@5 70.312 (67.788) Epoch: [22][3170/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8015 (2.6569) Prec@1 38.281 (42.617) Prec@5 66.406 (67.787) Epoch: [22][3180/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8300 (2.6570) Prec@1 46.094 (42.619) Prec@5 63.281 (67.786) Epoch: [22][3190/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8036 (2.6574) Prec@1 34.375 (42.611) Prec@5 67.188 (67.780) Epoch: [22][3200/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6380 (2.6571) Prec@1 42.969 (42.619) Prec@5 64.844 (67.786) Epoch: [22][3210/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9738 (2.6570) Prec@1 39.062 (42.616) Prec@5 65.625 (67.789) Epoch: [22][3220/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7705 (2.6573) Prec@1 36.719 (42.611) Prec@5 68.750 (67.789) Epoch: [22][3230/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.3502 (2.6569) Prec@1 44.531 (42.622) Prec@5 73.438 (67.794) Epoch: [22][3240/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.1369 (2.6572) Prec@1 35.938 (42.620) Prec@5 61.719 (67.793) Epoch: [22][3250/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5794 (2.6570) Prec@1 42.969 (42.622) Prec@5 68.750 (67.799) Epoch: [22][3260/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.5914 (2.6569) Prec@1 44.531 (42.629) Prec@5 69.531 (67.801) Epoch: [22][3270/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5980 (2.6568) Prec@1 46.875 (42.634) Prec@5 70.312 (67.801) Epoch: [22][3280/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5998 (2.6567) Prec@1 46.875 (42.636) Prec@5 67.969 (67.799) Epoch: [22][3290/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4983 (2.6567) Prec@1 51.562 (42.641) Prec@5 70.312 (67.799) Epoch: [22][3300/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5667 (2.6567) Prec@1 42.188 (42.644) Prec@5 64.844 (67.797) Epoch: [22][3310/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.4538 (2.6567) Prec@1 48.438 (42.648) Prec@5 67.969 (67.798) Epoch: [22][3320/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.2905 (2.6565) Prec@1 48.438 (42.652) Prec@5 75.000 (67.802) Epoch: [22][3330/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0358 (2.6563) Prec@1 57.031 (42.657) Prec@5 76.562 (67.809) Epoch: [22][3340/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7957 (2.6564) Prec@1 42.969 (42.654) Prec@5 62.500 (67.807) Epoch: [22][3350/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6583 (2.6565) Prec@1 40.625 (42.654) Prec@5 71.094 (67.806) Epoch: [22][3360/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.9429 (2.6564) Prec@1 42.969 (42.657) Prec@5 65.625 (67.804) Epoch: [22][3370/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.6574 (2.6566) Prec@1 46.094 (42.655) Prec@5 68.750 (67.803) Epoch: [22][3380/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.6113 (2.6567) Prec@1 40.625 (42.650) Prec@5 67.188 (67.803) Epoch: [22][3390/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5687 (2.6569) Prec@1 41.406 (42.642) Prec@5 64.844 (67.802) Epoch: [22][3400/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6048 (2.6567) Prec@1 42.188 (42.645) Prec@5 68.750 (67.804) Epoch: [22][3410/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.6538 (2.6569) Prec@1 40.625 (42.638) Prec@5 73.438 (67.799) Epoch: [22][3420/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5274 (2.6571) Prec@1 44.531 (42.636) Prec@5 72.656 (67.797) Epoch: [22][3430/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6809 (2.6570) Prec@1 41.406 (42.635) Prec@5 71.094 (67.796) Epoch: [22][3440/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0252 (2.6573) Prec@1 32.812 (42.626) Prec@5 62.500 (67.792) Epoch: [22][3450/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6167 (2.6576) Prec@1 43.750 (42.618) Prec@5 70.312 (67.791) Epoch: [22][3460/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6190 (2.6574) Prec@1 43.750 (42.620) Prec@5 67.188 (67.798) Epoch: [22][3470/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8546 (2.6576) Prec@1 39.844 (42.618) Prec@5 67.969 (67.797) Epoch: [22][3480/10010] Time 0.351 (0.332) Data 0.001 (0.001) Loss 2.7386 (2.6580) Prec@1 42.969 (42.609) Prec@5 63.281 (67.790) Epoch: [22][3490/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3163 (2.6576) Prec@1 45.312 (42.616) Prec@5 75.781 (67.797) Epoch: [22][3500/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6136 (2.6582) Prec@1 46.875 (42.610) Prec@5 67.188 (67.788) Epoch: [22][3510/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5021 (2.6578) Prec@1 45.312 (42.612) Prec@5 68.750 (67.790) Epoch: [22][3520/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7259 (2.6579) Prec@1 42.969 (42.606) Prec@5 64.844 (67.788) Epoch: [22][3530/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8684 (2.6581) Prec@1 38.281 (42.598) Prec@5 65.625 (67.787) Epoch: [22][3540/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6865 (2.6584) Prec@1 42.188 (42.594) Prec@5 66.406 (67.781) Epoch: [22][3550/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5865 (2.6583) Prec@1 45.312 (42.601) Prec@5 71.094 (67.778) Epoch: [22][3560/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4174 (2.6582) Prec@1 42.969 (42.601) Prec@5 74.219 (67.784) Epoch: [22][3570/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7401 (2.6580) Prec@1 41.406 (42.601) Prec@5 69.531 (67.788) Epoch: [22][3580/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6127 (2.6585) Prec@1 47.656 (42.590) Prec@5 67.188 (67.784) Epoch: [22][3590/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8305 (2.6587) Prec@1 39.844 (42.585) Prec@5 60.156 (67.779) Epoch: [22][3600/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5881 (2.6588) Prec@1 39.844 (42.580) Prec@5 67.969 (67.775) Epoch: [22][3610/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8549 (2.6590) Prec@1 43.750 (42.575) Prec@5 64.062 (67.773) Epoch: [22][3620/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9606 (2.6593) Prec@1 40.625 (42.571) Prec@5 65.625 (67.771) Epoch: [22][3630/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.2679 (2.6593) Prec@1 46.875 (42.572) Prec@5 75.781 (67.770) Epoch: [22][3640/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5219 (2.6591) Prec@1 44.531 (42.573) Prec@5 67.969 (67.770) Epoch: [22][3650/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7109 (2.6593) Prec@1 39.062 (42.570) Prec@5 67.188 (67.766) Epoch: [22][3660/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.3174 (2.6592) Prec@1 49.219 (42.572) Prec@5 71.875 (67.769) Epoch: [22][3670/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8332 (2.6595) Prec@1 39.062 (42.569) Prec@5 64.062 (67.768) Epoch: [22][3680/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9914 (2.6598) Prec@1 36.719 (42.566) Prec@5 59.375 (67.760) Epoch: [22][3690/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.3672 (2.6597) Prec@1 50.000 (42.569) Prec@5 72.656 (67.760) Epoch: [22][3700/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5678 (2.6597) Prec@1 53.125 (42.577) Prec@5 67.188 (67.761) Epoch: [22][3710/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.1809 (2.6598) Prec@1 35.938 (42.574) Prec@5 54.688 (67.758) Epoch: [22][3720/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8547 (2.6600) Prec@1 41.406 (42.570) Prec@5 63.281 (67.755) Epoch: [22][3730/10010] Time 0.356 (0.332) Data 0.001 (0.001) Loss 2.6701 (2.6600) Prec@1 43.750 (42.571) Prec@5 68.750 (67.759) Epoch: [22][3740/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.0117 (2.6603) Prec@1 37.500 (42.564) Prec@5 60.938 (67.753) Epoch: [22][3750/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6297 (2.6604) Prec@1 46.875 (42.562) Prec@5 67.188 (67.752) /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: [22][3760/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9339 (2.6607) Prec@1 34.375 (42.555) Prec@5 60.938 (67.750) Epoch: [22][3770/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4483 (2.6608) Prec@1 37.500 (42.550) Prec@5 76.562 (67.749) Epoch: [22][3780/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.3591 (2.6606) Prec@1 38.281 (42.549) Prec@5 73.438 (67.751) Epoch: [22][3790/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8044 (2.6608) Prec@1 39.844 (42.549) Prec@5 67.188 (67.745) Epoch: [22][3800/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.4174 (2.6610) Prec@1 44.531 (42.543) Prec@5 71.875 (67.744) Epoch: [22][3810/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7504 (2.6615) Prec@1 45.312 (42.540) Prec@5 64.844 (67.734) Epoch: [22][3820/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8214 (2.6618) Prec@1 40.625 (42.537) Prec@5 71.875 (67.730) Epoch: [22][3830/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5338 (2.6615) Prec@1 43.750 (42.540) Prec@5 68.750 (67.734) Epoch: [22][3840/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7219 (2.6615) Prec@1 38.281 (42.537) Prec@5 66.406 (67.735) Epoch: [22][3850/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5025 (2.6617) Prec@1 46.094 (42.536) Prec@5 68.750 (67.729) Epoch: [22][3860/10010] Time 0.329 (0.332) Data 0.002 (0.001) Loss 2.6022 (2.6614) Prec@1 43.750 (42.541) Prec@5 69.531 (67.734) Epoch: [22][3870/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8732 (2.6613) Prec@1 31.250 (42.539) Prec@5 63.281 (67.735) Epoch: [22][3880/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4357 (2.6614) Prec@1 45.312 (42.536) Prec@5 71.094 (67.734) Epoch: [22][3890/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.7085 (2.6618) Prec@1 46.094 (42.531) Prec@5 68.750 (67.726) Epoch: [22][3900/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1620 (2.6618) Prec@1 32.031 (42.530) Prec@5 59.375 (67.725) Epoch: [22][3910/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.5674 (2.6617) Prec@1 40.625 (42.534) Prec@5 64.844 (67.723) Epoch: [22][3920/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.3838 (2.6614) Prec@1 50.000 (42.540) Prec@5 76.562 (67.730) Epoch: [22][3930/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7882 (2.6618) Prec@1 38.281 (42.533) Prec@5 66.406 (67.724) Epoch: [22][3940/10010] Time 0.341 (0.332) Data 0.003 (0.001) Loss 2.7045 (2.6618) Prec@1 45.312 (42.531) Prec@5 64.062 (67.722) Epoch: [22][3950/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7805 (2.6620) Prec@1 37.500 (42.526) Prec@5 64.844 (67.718) Epoch: [22][3960/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 3.0186 (2.6623) Prec@1 37.500 (42.521) Prec@5 64.062 (67.718) Epoch: [22][3970/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5621 (2.6621) Prec@1 46.875 (42.525) Prec@5 64.062 (67.719) Epoch: [22][3980/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0159 (2.6621) Prec@1 37.500 (42.527) Prec@5 60.938 (67.721) Epoch: [22][3990/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4239 (2.6620) Prec@1 42.969 (42.529) Prec@5 71.875 (67.728) Epoch: [22][4000/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5927 (2.6619) Prec@1 42.188 (42.528) Prec@5 67.188 (67.727) Epoch: [22][4010/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.4376 (2.6620) Prec@1 44.531 (42.528) Prec@5 70.312 (67.725) Epoch: [22][4020/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8839 (2.6622) Prec@1 42.188 (42.527) Prec@5 62.500 (67.720) Epoch: [22][4030/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.7155 (2.6622) Prec@1 39.844 (42.528) Prec@5 66.406 (67.723) Epoch: [22][4040/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8423 (2.6623) Prec@1 44.531 (42.527) Prec@5 67.188 (67.722) Epoch: [22][4050/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5098 (2.6623) Prec@1 42.188 (42.527) Prec@5 69.531 (67.723) Epoch: [22][4060/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8194 (2.6624) Prec@1 38.281 (42.526) Prec@5 64.844 (67.720) Epoch: [22][4070/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.2500 (2.6625) Prec@1 52.344 (42.528) Prec@5 74.219 (67.719) Epoch: [22][4080/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5733 (2.6623) Prec@1 43.750 (42.531) Prec@5 71.094 (67.724) Epoch: [22][4090/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.8337 (2.6622) Prec@1 39.062 (42.533) Prec@5 62.500 (67.726) Epoch: [22][4100/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7261 (2.6622) Prec@1 38.281 (42.525) Prec@5 67.969 (67.725) Epoch: [22][4110/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8231 (2.6625) Prec@1 35.938 (42.520) Prec@5 63.281 (67.723) Epoch: [22][4120/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.3875 (2.6625) Prec@1 47.656 (42.519) Prec@5 71.094 (67.724) Epoch: [22][4130/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.5339 (2.6627) Prec@1 44.531 (42.515) Prec@5 72.656 (67.722) Epoch: [22][4140/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.9963 (2.6628) Prec@1 35.938 (42.512) Prec@5 61.719 (67.722) Epoch: [22][4150/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5432 (2.6629) Prec@1 36.719 (42.503) Prec@5 71.094 (67.720) Epoch: [22][4160/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 3.0302 (2.6630) Prec@1 32.812 (42.502) Prec@5 62.500 (67.718) Epoch: [22][4170/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.3682 (2.6628) Prec@1 52.344 (42.505) Prec@5 75.000 (67.722) Epoch: [22][4180/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6887 (2.6631) Prec@1 44.531 (42.499) Prec@5 67.188 (67.718) Epoch: [22][4190/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.6818 (2.6632) Prec@1 45.312 (42.501) Prec@5 68.750 (67.719) Epoch: [22][4200/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7272 (2.6633) Prec@1 46.094 (42.500) Prec@5 59.375 (67.716) Epoch: [22][4210/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7616 (2.6635) Prec@1 42.188 (42.498) Prec@5 63.281 (67.709) Epoch: [22][4220/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.7069 (2.6636) Prec@1 39.062 (42.498) Prec@5 69.531 (67.708) Epoch: [22][4230/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4890 (2.6637) Prec@1 42.969 (42.498) Prec@5 74.219 (67.707) Epoch: [22][4240/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5483 (2.6639) Prec@1 42.188 (42.496) Prec@5 71.094 (67.703) Epoch: [22][4250/10010] Time 0.312 (0.332) Data 0.000 (0.001) Loss 2.7215 (2.6639) Prec@1 42.969 (42.496) Prec@5 66.406 (67.705) Epoch: [22][4260/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.2014 (2.6637) Prec@1 40.625 (42.497) Prec@5 74.219 (67.704) Epoch: [22][4270/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.1598 (2.6639) Prec@1 36.719 (42.494) Prec@5 59.375 (67.700) Epoch: [22][4280/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4976 (2.6639) Prec@1 46.875 (42.495) Prec@5 71.094 (67.699) Epoch: [22][4290/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7742 (2.6640) Prec@1 42.188 (42.492) Prec@5 64.062 (67.698) Epoch: [22][4300/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.3659 (2.6643) Prec@1 46.875 (42.487) Prec@5 75.000 (67.695) Epoch: [22][4310/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.6260 (2.6643) Prec@1 46.875 (42.486) Prec@5 66.406 (67.694) Epoch: [22][4320/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.0485 (2.6646) Prec@1 39.062 (42.484) Prec@5 58.594 (67.690) Epoch: [22][4330/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7464 (2.6645) Prec@1 42.188 (42.483) Prec@5 65.625 (67.692) Epoch: [22][4340/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6093 (2.6648) Prec@1 49.219 (42.481) Prec@5 67.969 (67.687) Epoch: [22][4350/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5350 (2.6648) Prec@1 46.875 (42.481) Prec@5 66.406 (67.686) Epoch: [22][4360/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.3537 (2.6646) Prec@1 42.969 (42.480) Prec@5 69.531 (67.688) Epoch: [22][4370/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.0838 (2.6647) Prec@1 34.375 (42.480) Prec@5 59.375 (67.685) Epoch: [22][4380/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4630 (2.6648) Prec@1 47.656 (42.480) Prec@5 71.094 (67.684) Epoch: [22][4390/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.3746 (2.6647) Prec@1 44.531 (42.483) Prec@5 73.438 (67.687) Epoch: [22][4400/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.5878 (2.6647) Prec@1 46.875 (42.486) Prec@5 67.969 (67.688) Epoch: [22][4410/10010] Time 0.318 (0.332) Data 0.004 (0.001) Loss 2.6037 (2.6646) Prec@1 39.844 (42.486) Prec@5 71.875 (67.694) Epoch: [22][4420/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8557 (2.6647) Prec@1 41.406 (42.486) Prec@5 64.844 (67.694) Epoch: [22][4430/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 3.1193 (2.6647) Prec@1 39.062 (42.488) Prec@5 60.938 (67.697) Epoch: [22][4440/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4371 (2.6646) Prec@1 47.656 (42.490) Prec@5 74.219 (67.697) Epoch: [22][4450/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.0663 (2.6646) Prec@1 34.375 (42.492) Prec@5 58.594 (67.698) Epoch: [22][4460/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8909 (2.6649) Prec@1 42.188 (42.490) Prec@5 67.188 (67.694) Epoch: [22][4470/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5273 (2.6651) Prec@1 46.094 (42.486) Prec@5 71.875 (67.692) Epoch: [22][4480/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8743 (2.6654) Prec@1 35.156 (42.483) Prec@5 61.719 (67.684) Epoch: [22][4490/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0119 (2.6655) Prec@1 39.062 (42.484) Prec@5 60.156 (67.686) Epoch: [22][4500/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7397 (2.6655) Prec@1 39.062 (42.488) Prec@5 69.531 (67.687) Epoch: [22][4510/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.4526 (2.6653) Prec@1 47.656 (42.494) Prec@5 72.656 (67.692) Epoch: [22][4520/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6546 (2.6651) Prec@1 43.750 (42.495) Prec@5 67.969 (67.697) Epoch: [22][4530/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.8008 (2.6650) Prec@1 41.406 (42.495) Prec@5 69.531 (67.698) Epoch: [22][4540/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8926 (2.6651) Prec@1 35.938 (42.490) Prec@5 67.969 (67.698) Epoch: [22][4550/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6047 (2.6652) Prec@1 43.750 (42.487) Prec@5 70.312 (67.698) Epoch: [22][4560/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5951 (2.6651) Prec@1 44.531 (42.489) Prec@5 66.406 (67.698) Epoch: [22][4570/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8045 (2.6650) Prec@1 41.406 (42.489) Prec@5 65.625 (67.700) Epoch: [22][4580/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.2875 (2.6647) Prec@1 50.781 (42.491) Prec@5 71.875 (67.702) Epoch: [22][4590/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5881 (2.6647) Prec@1 44.531 (42.490) Prec@5 71.094 (67.702) Epoch: [22][4600/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6029 (2.6648) Prec@1 41.406 (42.489) Prec@5 67.188 (67.700) Epoch: [22][4610/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6433 (2.6647) Prec@1 46.875 (42.491) Prec@5 69.531 (67.704) Epoch: [22][4620/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9052 (2.6647) Prec@1 38.281 (42.492) Prec@5 63.281 (67.705) Epoch: [22][4630/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7688 (2.6646) Prec@1 42.969 (42.494) Prec@5 67.188 (67.703) Epoch: [22][4640/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8385 (2.6646) Prec@1 35.156 (42.492) Prec@5 68.750 (67.704) Epoch: [22][4650/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.8820 (2.6645) Prec@1 41.406 (42.493) Prec@5 67.188 (67.706) Epoch: [22][4660/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9596 (2.6647) Prec@1 35.938 (42.490) Prec@5 65.625 (67.703) Epoch: [22][4670/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8155 (2.6646) Prec@1 42.188 (42.490) Prec@5 68.750 (67.706) Epoch: [22][4680/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8260 (2.6647) Prec@1 39.844 (42.490) Prec@5 62.500 (67.702) Epoch: [22][4690/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7567 (2.6645) Prec@1 39.062 (42.493) Prec@5 70.312 (67.706) Epoch: [22][4700/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5467 (2.6647) Prec@1 42.969 (42.492) Prec@5 71.875 (67.702) Epoch: [22][4710/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8632 (2.6647) Prec@1 38.281 (42.491) Prec@5 63.281 (67.699) Epoch: [22][4720/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8010 (2.6648) Prec@1 43.750 (42.491) Prec@5 64.844 (67.700) Epoch: [22][4730/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7519 (2.6647) Prec@1 41.406 (42.493) Prec@5 64.844 (67.700) Epoch: [22][4740/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7165 (2.6646) Prec@1 42.188 (42.495) Prec@5 65.625 (67.700) Epoch: [22][4750/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8105 (2.6649) Prec@1 46.875 (42.490) Prec@5 64.844 (67.695) Epoch: [22][4760/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4557 (2.6648) Prec@1 47.656 (42.496) Prec@5 69.531 (67.695) Epoch: [22][4770/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7107 (2.6650) Prec@1 38.281 (42.493) Prec@5 70.312 (67.691) Epoch: [22][4780/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5564 (2.6651) Prec@1 46.094 (42.494) Prec@5 73.438 (67.693) Epoch: [22][4790/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7040 (2.6649) Prec@1 45.312 (42.499) Prec@5 69.531 (67.695) Epoch: [22][4800/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.5840 (2.6648) Prec@1 41.406 (42.495) Prec@5 65.625 (67.698) Epoch: [22][4810/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5329 (2.6650) Prec@1 45.312 (42.493) Prec@5 70.312 (67.692) Epoch: [22][4820/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6968 (2.6651) Prec@1 44.531 (42.493) Prec@5 64.062 (67.693) Epoch: [22][4830/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6064 (2.6648) Prec@1 42.969 (42.496) Prec@5 69.531 (67.698) Epoch: [22][4840/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7116 (2.6649) Prec@1 42.969 (42.498) Prec@5 66.406 (67.700) Epoch: [22][4850/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7588 (2.6647) Prec@1 37.500 (42.498) Prec@5 66.406 (67.703) Epoch: [22][4860/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7473 (2.6650) Prec@1 42.188 (42.494) Prec@5 64.844 (67.700) Epoch: [22][4870/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.9021 (2.6651) Prec@1 35.938 (42.491) Prec@5 60.156 (67.700) Epoch: [22][4880/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9019 (2.6653) Prec@1 44.531 (42.493) Prec@5 63.281 (67.693) Epoch: [22][4890/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7200 (2.6652) Prec@1 39.844 (42.491) Prec@5 64.062 (67.694) Epoch: [22][4900/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7660 (2.6652) Prec@1 38.281 (42.490) Prec@5 62.500 (67.695) Epoch: [22][4910/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5897 (2.6650) Prec@1 41.406 (42.492) Prec@5 70.312 (67.699) /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: [22][4920/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.3751 (2.6650) Prec@1 42.188 (42.494) Prec@5 74.219 (67.699) Epoch: [22][4930/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6736 (2.6647) Prec@1 43.750 (42.498) Prec@5 64.062 (67.702) Epoch: [22][4940/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5732 (2.6646) Prec@1 46.094 (42.501) Prec@5 68.750 (67.705) Epoch: [22][4950/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.5355 (2.6644) Prec@1 45.312 (42.504) Prec@5 70.312 (67.707) Epoch: [22][4960/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.6122 (2.6645) Prec@1 43.750 (42.503) Prec@5 68.750 (67.708) Epoch: [22][4970/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.1440 (2.6644) Prec@1 38.281 (42.506) Prec@5 59.375 (67.709) Epoch: [22][4980/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 3.0849 (2.6645) Prec@1 35.156 (42.506) Prec@5 60.938 (67.708) Epoch: [22][4990/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 2.5408 (2.6644) Prec@1 44.531 (42.504) Prec@5 65.625 (67.707) Epoch: [22][5000/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7109 (2.6642) Prec@1 41.406 (42.508) Prec@5 67.969 (67.711) Epoch: [22][5010/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5133 (2.6645) Prec@1 44.531 (42.506) Prec@5 67.188 (67.708) Epoch: [22][5020/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.4955 (2.6645) Prec@1 44.531 (42.505) Prec@5 71.094 (67.708) Epoch: [22][5030/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3848 (2.6643) Prec@1 48.438 (42.508) Prec@5 69.531 (67.709) Epoch: [22][5040/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.6648 (2.6643) Prec@1 46.875 (42.508) Prec@5 64.062 (67.707) Epoch: [22][5050/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7190 (2.6642) Prec@1 43.750 (42.507) Prec@5 67.188 (67.707) Epoch: [22][5060/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4794 (2.6643) Prec@1 43.750 (42.505) Prec@5 71.875 (67.709) Epoch: [22][5070/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6621 (2.6643) Prec@1 42.969 (42.506) Prec@5 69.531 (67.712) Epoch: [22][5080/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4185 (2.6643) Prec@1 40.625 (42.503) Prec@5 73.438 (67.711) Epoch: [22][5090/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.4200 (2.6643) Prec@1 48.438 (42.502) Prec@5 69.531 (67.712) Epoch: [22][5100/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7144 (2.6643) Prec@1 42.969 (42.503) Prec@5 67.188 (67.711) Epoch: [22][5110/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.7861 (2.6644) Prec@1 35.938 (42.500) Prec@5 64.844 (67.711) Epoch: [22][5120/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6355 (2.6645) Prec@1 41.406 (42.496) Prec@5 67.188 (67.708) Epoch: [22][5130/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6825 (2.6644) Prec@1 41.406 (42.497) Prec@5 67.188 (67.710) Epoch: [22][5140/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7173 (2.6645) Prec@1 42.188 (42.494) Prec@5 65.625 (67.707) Epoch: [22][5150/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7110 (2.6644) Prec@1 42.969 (42.495) Prec@5 69.531 (67.708) Epoch: [22][5160/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5807 (2.6643) Prec@1 42.969 (42.494) Prec@5 68.750 (67.711) Epoch: [22][5170/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8966 (2.6645) Prec@1 34.375 (42.494) Prec@5 60.938 (67.707) Epoch: [22][5180/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5234 (2.6646) Prec@1 40.625 (42.491) Prec@5 71.875 (67.705) Epoch: [22][5190/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8733 (2.6648) Prec@1 45.312 (42.490) Prec@5 66.406 (67.703) Epoch: [22][5200/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.2712 (2.6647) Prec@1 48.438 (42.491) Prec@5 71.875 (67.703) Epoch: [22][5210/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 3.0639 (2.6647) Prec@1 35.156 (42.487) Prec@5 60.938 (67.704) Epoch: [22][5220/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6201 (2.6649) Prec@1 42.969 (42.485) Prec@5 70.312 (67.700) Epoch: [22][5230/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.6236 (2.6650) Prec@1 41.406 (42.482) Prec@5 69.531 (67.699) Epoch: [22][5240/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5162 (2.6653) Prec@1 46.094 (42.480) Prec@5 71.875 (67.695) Epoch: [22][5250/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6831 (2.6652) Prec@1 41.406 (42.480) Prec@5 67.188 (67.696) Epoch: [22][5260/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.0405 (2.6654) Prec@1 35.938 (42.479) Prec@5 58.594 (67.693) Epoch: [22][5270/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7421 (2.6653) Prec@1 41.406 (42.483) Prec@5 58.594 (67.692) Epoch: [22][5280/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6391 (2.6653) Prec@1 38.281 (42.480) Prec@5 71.094 (67.689) Epoch: [22][5290/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.8783 (2.6654) Prec@1 44.531 (42.481) Prec@5 66.406 (67.689) Epoch: [22][5300/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 3.1393 (2.6656) Prec@1 37.500 (42.479) Prec@5 57.812 (67.684) Epoch: [22][5310/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.7015 (2.6654) Prec@1 39.062 (42.482) Prec@5 70.312 (67.688) Epoch: [22][5320/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6551 (2.6655) Prec@1 42.969 (42.479) Prec@5 71.875 (67.686) Epoch: [22][5330/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.8979 (2.6656) Prec@1 37.500 (42.476) Prec@5 64.844 (67.684) Epoch: [22][5340/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5414 (2.6656) Prec@1 41.406 (42.475) Prec@5 67.969 (67.684) Epoch: [22][5350/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.7519 (2.6654) Prec@1 41.406 (42.475) Prec@5 64.062 (67.687) Epoch: [22][5360/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.8395 (2.6653) Prec@1 36.719 (42.475) Prec@5 64.062 (67.687) Epoch: [22][5370/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.5764 (2.6655) Prec@1 47.656 (42.474) Prec@5 69.531 (67.685) Epoch: [22][5380/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.1759 (2.6657) Prec@1 35.156 (42.471) Prec@5 55.469 (67.681) Epoch: [22][5390/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7303 (2.6658) Prec@1 37.500 (42.468) Prec@5 65.625 (67.678) Epoch: [22][5400/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5340 (2.6658) Prec@1 42.969 (42.470) Prec@5 71.094 (67.676) Epoch: [22][5410/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5620 (2.6656) Prec@1 41.406 (42.474) Prec@5 74.219 (67.680) Epoch: [22][5420/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6802 (2.6655) Prec@1 38.281 (42.474) Prec@5 68.750 (67.680) Epoch: [22][5430/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.5613 (2.6655) Prec@1 44.531 (42.473) Prec@5 65.625 (67.678) Epoch: [22][5440/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7439 (2.6655) Prec@1 38.281 (42.476) Prec@5 60.156 (67.677) Epoch: [22][5450/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.7907 (2.6653) Prec@1 42.188 (42.477) Prec@5 67.188 (67.681) Epoch: [22][5460/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.3909 (2.6653) Prec@1 49.219 (42.480) Prec@5 71.094 (67.682) Epoch: [22][5470/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 2.8272 (2.6650) Prec@1 37.500 (42.482) Prec@5 64.062 (67.686) Epoch: [22][5480/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7192 (2.6651) Prec@1 35.156 (42.478) Prec@5 69.531 (67.683) Epoch: [22][5490/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6764 (2.6650) Prec@1 44.531 (42.481) Prec@5 65.625 (67.683) Epoch: [22][5500/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5285 (2.6650) Prec@1 44.531 (42.483) Prec@5 71.094 (67.684) Epoch: [22][5510/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5763 (2.6648) Prec@1 42.969 (42.488) Prec@5 67.969 (67.686) Epoch: [22][5520/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 3.2085 (2.6649) Prec@1 34.375 (42.490) Prec@5 57.031 (67.683) Epoch: [22][5530/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8573 (2.6651) Prec@1 39.062 (42.490) Prec@5 59.375 (67.678) Epoch: [22][5540/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.7169 (2.6654) Prec@1 45.312 (42.487) Prec@5 67.188 (67.673) Epoch: [22][5550/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6149 (2.6653) Prec@1 42.188 (42.487) Prec@5 70.312 (67.673) Epoch: [22][5560/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8029 (2.6653) Prec@1 43.750 (42.491) Prec@5 64.062 (67.672) Epoch: [22][5570/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7050 (2.6652) Prec@1 42.188 (42.491) Prec@5 65.625 (67.675) Epoch: [22][5580/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5417 (2.6653) Prec@1 45.312 (42.488) Prec@5 69.531 (67.673) Epoch: [22][5590/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8749 (2.6655) Prec@1 39.844 (42.485) Prec@5 64.844 (67.671) Epoch: [22][5600/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8662 (2.6656) Prec@1 38.281 (42.483) Prec@5 62.500 (67.670) Epoch: [22][5610/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5003 (2.6658) Prec@1 48.438 (42.481) Prec@5 67.188 (67.668) Epoch: [22][5620/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.4517 (2.6659) Prec@1 42.188 (42.477) Prec@5 71.875 (67.665) Epoch: [22][5630/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7763 (2.6659) Prec@1 40.625 (42.478) Prec@5 63.281 (67.663) Epoch: [22][5640/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.8363 (2.6661) Prec@1 36.719 (42.472) Prec@5 65.625 (67.662) Epoch: [22][5650/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6657 (2.6663) Prec@1 39.062 (42.468) Prec@5 69.531 (67.658) Epoch: [22][5660/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.3697 (2.6666) Prec@1 46.875 (42.464) Prec@5 72.656 (67.656) Epoch: [22][5670/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5746 (2.6666) Prec@1 45.312 (42.462) Prec@5 67.969 (67.656) Epoch: [22][5680/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7567 (2.6667) Prec@1 44.531 (42.461) Prec@5 67.969 (67.654) Epoch: [22][5690/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.4952 (2.6667) Prec@1 50.000 (42.461) Prec@5 69.531 (67.651) Epoch: [22][5700/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.3999 (2.6667) Prec@1 44.531 (42.459) Prec@5 71.094 (67.650) Epoch: [22][5710/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7003 (2.6666) Prec@1 39.062 (42.456) Prec@5 63.281 (67.652) Epoch: [22][5720/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5709 (2.6665) Prec@1 46.094 (42.455) Prec@5 74.219 (67.655) Epoch: [22][5730/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.6243 (2.6667) Prec@1 46.094 (42.453) Prec@5 71.875 (67.653) Epoch: [22][5740/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6458 (2.6666) Prec@1 36.719 (42.455) Prec@5 69.531 (67.657) Epoch: [22][5750/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.4472 (2.6666) Prec@1 49.219 (42.453) Prec@5 69.531 (67.658) Epoch: [22][5760/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6279 (2.6666) Prec@1 42.188 (42.456) Prec@5 68.750 (67.658) Epoch: [22][5770/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7362 (2.6666) Prec@1 41.406 (42.455) Prec@5 67.188 (67.657) Epoch: [22][5780/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8350 (2.6668) Prec@1 39.844 (42.454) Prec@5 64.844 (67.655) Epoch: [22][5790/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5248 (2.6668) Prec@1 42.188 (42.451) Prec@5 67.188 (67.654) Epoch: [22][5800/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9478 (2.6668) Prec@1 35.938 (42.448) Prec@5 66.406 (67.653) Epoch: [22][5810/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6172 (2.6668) Prec@1 38.281 (42.449) Prec@5 67.188 (67.654) Epoch: [22][5820/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6114 (2.6668) Prec@1 45.312 (42.450) Prec@5 62.500 (67.652) Epoch: [22][5830/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.4654 (2.6665) Prec@1 46.094 (42.455) Prec@5 71.094 (67.658) Epoch: [22][5840/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.4684 (2.6665) Prec@1 43.750 (42.453) Prec@5 71.094 (67.658) Epoch: [22][5850/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8247 (2.6664) Prec@1 42.188 (42.455) Prec@5 60.938 (67.660) Epoch: [22][5860/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.5275 (2.6663) Prec@1 46.094 (42.459) Prec@5 69.531 (67.662) Epoch: [22][5870/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.7977 (2.6663) Prec@1 42.969 (42.459) Prec@5 63.281 (67.662) Epoch: [22][5880/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.3429 (2.6663) Prec@1 49.219 (42.457) Prec@5 70.312 (67.658) Epoch: [22][5890/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.2510 (2.6663) Prec@1 50.000 (42.460) Prec@5 76.562 (67.658) Epoch: [22][5900/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.8529 (2.6663) Prec@1 38.281 (42.458) Prec@5 67.188 (67.659) Epoch: [22][5910/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6717 (2.6662) Prec@1 46.875 (42.460) Prec@5 67.969 (67.662) Epoch: [22][5920/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.1927 (2.6662) Prec@1 54.688 (42.460) Prec@5 75.000 (67.661) Epoch: [22][5930/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8240 (2.6664) Prec@1 41.406 (42.461) Prec@5 64.844 (67.658) Epoch: [22][5940/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4412 (2.6662) Prec@1 53.125 (42.463) Prec@5 68.750 (67.662) Epoch: [22][5950/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.8270 (2.6662) Prec@1 37.500 (42.462) Prec@5 61.719 (67.659) Epoch: [22][5960/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6301 (2.6661) Prec@1 39.844 (42.468) Prec@5 67.969 (67.661) Epoch: [22][5970/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7842 (2.6661) Prec@1 38.281 (42.468) Prec@5 64.844 (67.661) Epoch: [22][5980/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.8719 (2.6662) Prec@1 45.312 (42.467) Prec@5 60.156 (67.659) Epoch: [22][5990/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.2712 (2.6659) Prec@1 48.438 (42.470) Prec@5 71.875 (67.660) Epoch: [22][6000/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.7344 (2.6659) Prec@1 42.969 (42.471) Prec@5 61.719 (67.661) Epoch: [22][6010/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.2829 (2.6658) Prec@1 50.781 (42.472) Prec@5 72.656 (67.661) Epoch: [22][6020/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.6508 (2.6657) Prec@1 46.875 (42.473) Prec@5 66.406 (67.664) Epoch: [22][6030/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8748 (2.6658) Prec@1 41.406 (42.473) Prec@5 66.406 (67.662) Epoch: [22][6040/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.8111 (2.6659) Prec@1 41.406 (42.473) Prec@5 62.500 (67.660) Epoch: [22][6050/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.4591 (2.6658) Prec@1 46.875 (42.476) Prec@5 77.344 (67.661) Epoch: [22][6060/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.8683 (2.6656) Prec@1 40.625 (42.476) Prec@5 65.625 (67.665) Epoch: [22][6070/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8625 (2.6657) Prec@1 39.062 (42.474) Prec@5 63.281 (67.662) Epoch: [22][6080/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.8251 (2.6656) Prec@1 39.062 (42.475) Prec@5 64.062 (67.664) /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: [22][6090/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6274 (2.6655) Prec@1 40.625 (42.477) Prec@5 71.094 (67.662) Epoch: [22][6100/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.7156 (2.6655) Prec@1 42.188 (42.476) Prec@5 66.406 (67.663) Epoch: [22][6110/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.8512 (2.6658) Prec@1 41.406 (42.469) Prec@5 60.156 (67.657) Epoch: [22][6120/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8681 (2.6658) Prec@1 39.062 (42.471) Prec@5 65.625 (67.656) Epoch: [22][6130/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.7229 (2.6660) Prec@1 45.312 (42.466) Prec@5 64.844 (67.652) Epoch: [22][6140/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6280 (2.6661) Prec@1 47.656 (42.466) Prec@5 68.750 (67.650) Epoch: [22][6150/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6499 (2.6661) Prec@1 42.188 (42.467) Prec@5 67.188 (67.649) Epoch: [22][6160/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.7665 (2.6662) Prec@1 35.156 (42.468) Prec@5 64.844 (67.648) Epoch: [22][6170/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8595 (2.6661) Prec@1 34.375 (42.466) Prec@5 65.625 (67.649) Epoch: [22][6180/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7978 (2.6660) Prec@1 39.062 (42.463) Prec@5 63.281 (67.649) Epoch: [22][6190/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6132 (2.6660) Prec@1 42.969 (42.465) Prec@5 68.750 (67.650) Epoch: [22][6200/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5365 (2.6659) Prec@1 42.969 (42.466) Prec@5 68.750 (67.652) Epoch: [22][6210/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.9107 (2.6658) Prec@1 39.062 (42.469) Prec@5 60.156 (67.653) Epoch: [22][6220/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5727 (2.6659) Prec@1 46.094 (42.466) Prec@5 75.000 (67.651) Epoch: [22][6230/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5347 (2.6658) Prec@1 52.344 (42.468) Prec@5 71.094 (67.653) Epoch: [22][6240/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8820 (2.6658) Prec@1 44.531 (42.467) Prec@5 64.062 (67.654) Epoch: [22][6250/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.3060 (2.6657) Prec@1 51.562 (42.472) Prec@5 72.656 (67.659) Epoch: [22][6260/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8302 (2.6657) Prec@1 40.625 (42.470) Prec@5 67.188 (67.657) Epoch: [22][6270/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.2853 (2.6657) Prec@1 43.750 (42.468) Prec@5 75.000 (67.658) Epoch: [22][6280/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8830 (2.6659) Prec@1 39.844 (42.465) Prec@5 65.625 (67.654) Epoch: [22][6290/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6350 (2.6657) Prec@1 47.656 (42.468) Prec@5 70.312 (67.657) Epoch: [22][6300/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8355 (2.6658) Prec@1 37.500 (42.470) Prec@5 60.938 (67.657) Epoch: [22][6310/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4481 (2.6657) Prec@1 43.750 (42.470) Prec@5 72.656 (67.658) Epoch: [22][6320/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.9040 (2.6659) Prec@1 44.531 (42.470) Prec@5 57.031 (67.654) Epoch: [22][6330/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.2158 (2.6659) Prec@1 51.562 (42.470) Prec@5 74.219 (67.655) Epoch: [22][6340/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5542 (2.6659) Prec@1 41.406 (42.467) Prec@5 66.406 (67.655) Epoch: [22][6350/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7895 (2.6658) Prec@1 40.625 (42.468) Prec@5 65.625 (67.654) Epoch: [22][6360/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4731 (2.6659) Prec@1 45.312 (42.468) Prec@5 70.312 (67.656) Epoch: [22][6370/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7475 (2.6658) Prec@1 42.969 (42.469) Prec@5 65.625 (67.658) Epoch: [22][6380/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4834 (2.6658) Prec@1 46.875 (42.468) Prec@5 70.312 (67.659) Epoch: [22][6390/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.3411 (2.6657) Prec@1 46.094 (42.473) Prec@5 75.000 (67.660) Epoch: [22][6400/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7235 (2.6658) Prec@1 46.094 (42.473) Prec@5 68.750 (67.660) Epoch: [22][6410/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 3.1870 (2.6658) Prec@1 34.375 (42.471) Prec@5 57.031 (67.659) Epoch: [22][6420/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6591 (2.6659) Prec@1 39.062 (42.471) Prec@5 68.750 (67.656) Epoch: [22][6430/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4517 (2.6661) Prec@1 46.875 (42.468) Prec@5 72.656 (67.654) Epoch: [22][6440/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 3.0064 (2.6662) Prec@1 37.500 (42.463) Prec@5 60.938 (67.651) Epoch: [22][6450/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6005 (2.6662) Prec@1 47.656 (42.463) Prec@5 71.094 (67.650) Epoch: [22][6460/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8421 (2.6662) Prec@1 37.500 (42.465) Prec@5 63.281 (67.651) Epoch: [22][6470/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.5416 (2.6661) Prec@1 46.094 (42.467) Prec@5 70.312 (67.650) Epoch: [22][6480/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 3.0262 (2.6661) Prec@1 35.938 (42.468) Prec@5 60.156 (67.650) Epoch: [22][6490/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5515 (2.6662) Prec@1 43.750 (42.466) Prec@5 70.312 (67.651) Epoch: [22][6500/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.8040 (2.6660) Prec@1 41.406 (42.466) Prec@5 63.281 (67.652) Epoch: [22][6510/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7721 (2.6661) Prec@1 41.406 (42.467) Prec@5 69.531 (67.651) Epoch: [22][6520/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5287 (2.6659) Prec@1 49.219 (42.470) Prec@5 71.094 (67.652) Epoch: [22][6530/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.2950 (2.6658) Prec@1 48.438 (42.472) Prec@5 70.312 (67.654) Epoch: [22][6540/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.1517 (2.6658) Prec@1 55.469 (42.474) Prec@5 75.000 (67.654) Epoch: [22][6550/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6676 (2.6658) Prec@1 42.188 (42.474) Prec@5 66.406 (67.653) Epoch: [22][6560/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.5437 (2.6656) Prec@1 43.750 (42.475) Prec@5 65.625 (67.656) Epoch: [22][6570/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8759 (2.6657) Prec@1 41.406 (42.475) Prec@5 64.062 (67.654) Epoch: [22][6580/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.4341 (2.6656) Prec@1 47.656 (42.478) Prec@5 70.312 (67.654) Epoch: [22][6590/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7579 (2.6655) Prec@1 46.094 (42.480) Prec@5 69.531 (67.655) Epoch: [22][6600/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.9042 (2.6655) Prec@1 32.031 (42.481) Prec@5 64.062 (67.656) Epoch: [22][6610/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.7456 (2.6656) Prec@1 40.625 (42.481) Prec@5 71.094 (67.655) Epoch: [22][6620/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.3343 (2.6655) Prec@1 51.562 (42.482) Prec@5 77.344 (67.656) Epoch: [22][6630/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.4862 (2.6655) Prec@1 42.188 (42.480) Prec@5 71.875 (67.656) Epoch: [22][6640/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.8146 (2.6656) Prec@1 39.844 (42.481) Prec@5 64.844 (67.656) Epoch: [22][6650/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.9365 (2.6657) Prec@1 37.500 (42.477) Prec@5 60.938 (67.653) Epoch: [22][6660/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.8258 (2.6657) Prec@1 38.281 (42.477) Prec@5 64.844 (67.652) Epoch: [22][6670/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6708 (2.6657) Prec@1 42.188 (42.478) Prec@5 67.969 (67.651) Epoch: [22][6680/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6270 (2.6657) Prec@1 38.281 (42.478) Prec@5 67.969 (67.651) Epoch: [22][6690/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6877 (2.6659) Prec@1 39.062 (42.475) Prec@5 65.625 (67.645) Epoch: [22][6700/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5634 (2.6659) Prec@1 42.188 (42.475) Prec@5 67.969 (67.646) Epoch: [22][6710/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.3752 (2.6660) Prec@1 46.094 (42.474) Prec@5 72.656 (67.645) Epoch: [22][6720/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4099 (2.6660) Prec@1 52.344 (42.477) Prec@5 69.531 (67.646) Epoch: [22][6730/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7257 (2.6661) Prec@1 42.188 (42.477) Prec@5 65.625 (67.646) Epoch: [22][6740/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8065 (2.6663) Prec@1 39.062 (42.475) Prec@5 67.188 (67.644) Epoch: [22][6750/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.4025 (2.6663) Prec@1 55.469 (42.476) Prec@5 69.531 (67.641) Epoch: [22][6760/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.2726 (2.6664) Prec@1 49.219 (42.472) Prec@5 75.781 (67.638) Epoch: [22][6770/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5635 (2.6664) Prec@1 39.844 (42.473) Prec@5 69.531 (67.637) Epoch: [22][6780/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.4248 (2.6664) Prec@1 52.344 (42.474) Prec@5 75.000 (67.638) Epoch: [22][6790/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5616 (2.6665) Prec@1 44.531 (42.471) Prec@5 68.750 (67.636) Epoch: [22][6800/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.8382 (2.6666) Prec@1 41.406 (42.470) Prec@5 61.719 (67.634) Epoch: [22][6810/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.4559 (2.6666) Prec@1 41.406 (42.468) Prec@5 73.438 (67.634) Epoch: [22][6820/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7007 (2.6665) Prec@1 41.406 (42.467) Prec@5 69.531 (67.637) Epoch: [22][6830/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5922 (2.6666) Prec@1 49.219 (42.470) Prec@5 70.312 (67.638) Epoch: [22][6840/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.3637 (2.6666) Prec@1 45.312 (42.472) Prec@5 71.094 (67.636) Epoch: [22][6850/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6837 (2.6667) Prec@1 43.750 (42.471) Prec@5 66.406 (67.633) Epoch: [22][6860/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.2561 (2.6665) Prec@1 51.562 (42.476) Prec@5 73.438 (67.636) Epoch: [22][6870/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.4853 (2.6666) Prec@1 48.438 (42.474) Prec@5 68.750 (67.633) Epoch: [22][6880/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.2914 (2.6665) Prec@1 47.656 (42.476) Prec@5 70.312 (67.637) Epoch: [22][6890/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6527 (2.6664) Prec@1 46.094 (42.478) Prec@5 62.500 (67.638) Epoch: [22][6900/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.7378 (2.6664) Prec@1 37.500 (42.476) Prec@5 67.969 (67.638) Epoch: [22][6910/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6474 (2.6666) Prec@1 39.844 (42.474) Prec@5 67.188 (67.635) Epoch: [22][6920/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8346 (2.6667) Prec@1 42.188 (42.472) Prec@5 63.281 (67.632) Epoch: [22][6930/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.6991 (2.6669) Prec@1 40.625 (42.468) Prec@5 64.844 (67.628) Epoch: [22][6940/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6804 (2.6669) Prec@1 40.625 (42.467) Prec@5 68.750 (67.627) Epoch: [22][6950/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7124 (2.6668) Prec@1 45.312 (42.466) Prec@5 64.844 (67.630) Epoch: [22][6960/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5499 (2.6667) Prec@1 46.875 (42.469) Prec@5 68.750 (67.631) Epoch: [22][6970/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6945 (2.6667) Prec@1 42.188 (42.471) Prec@5 63.281 (67.631) Epoch: [22][6980/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8172 (2.6667) Prec@1 41.406 (42.472) Prec@5 66.406 (67.632) Epoch: [22][6990/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.7988 (2.6668) Prec@1 40.625 (42.469) Prec@5 63.281 (67.629) Epoch: [22][7000/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5551 (2.6667) Prec@1 39.062 (42.466) Prec@5 67.969 (67.629) Epoch: [22][7010/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5279 (2.6669) Prec@1 44.531 (42.467) Prec@5 71.875 (67.624) Epoch: [22][7020/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.5159 (2.6669) Prec@1 43.750 (42.466) Prec@5 64.844 (67.624) Epoch: [22][7030/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.4756 (2.6669) Prec@1 42.969 (42.465) Prec@5 68.750 (67.623) Epoch: [22][7040/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.8880 (2.6669) Prec@1 39.062 (42.465) Prec@5 64.062 (67.623) Epoch: [22][7050/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.6717 (2.6669) Prec@1 40.625 (42.466) Prec@5 67.188 (67.625) Epoch: [22][7060/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9040 (2.6667) Prec@1 32.812 (42.468) Prec@5 72.656 (67.629) Epoch: [22][7070/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7462 (2.6667) Prec@1 40.625 (42.467) Prec@5 65.625 (67.629) Epoch: [22][7080/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.4213 (2.6668) Prec@1 49.219 (42.466) Prec@5 73.438 (67.628) Epoch: [22][7090/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6711 (2.6669) Prec@1 46.094 (42.466) Prec@5 67.969 (67.625) Epoch: [22][7100/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.8070 (2.6669) Prec@1 35.156 (42.465) Prec@5 66.406 (67.624) Epoch: [22][7110/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7065 (2.6671) Prec@1 41.406 (42.463) Prec@5 70.312 (67.621) Epoch: [22][7120/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.3330 (2.6671) Prec@1 42.188 (42.464) Prec@5 74.219 (67.622) Epoch: [22][7130/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6859 (2.6672) Prec@1 39.062 (42.465) Prec@5 67.969 (67.621) Epoch: [22][7140/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7677 (2.6673) Prec@1 40.625 (42.464) Prec@5 64.062 (67.620) Epoch: [22][7150/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4960 (2.6673) Prec@1 49.219 (42.463) Prec@5 70.312 (67.619) Epoch: [22][7160/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.5360 (2.6673) Prec@1 44.531 (42.462) Prec@5 68.750 (67.618) Epoch: [22][7170/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6236 (2.6674) Prec@1 42.188 (42.458) Prec@5 67.188 (67.615) Epoch: [22][7180/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7935 (2.6674) Prec@1 42.188 (42.458) Prec@5 67.969 (67.613) Epoch: [22][7190/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.6260 (2.6676) Prec@1 46.875 (42.458) Prec@5 69.531 (67.611) Epoch: [22][7200/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.4341 (2.6676) Prec@1 46.875 (42.456) Prec@5 74.219 (67.611) Epoch: [22][7210/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6970 (2.6676) Prec@1 44.531 (42.456) Prec@5 67.188 (67.614) Epoch: [22][7220/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.6798 (2.6675) Prec@1 42.969 (42.458) Prec@5 64.062 (67.615) Epoch: [22][7230/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.8387 (2.6676) Prec@1 34.375 (42.457) Prec@5 67.188 (67.615) Epoch: [22][7240/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5886 (2.6676) Prec@1 41.406 (42.456) Prec@5 65.625 (67.613) Epoch: [22][7250/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6079 (2.6676) Prec@1 42.969 (42.456) Prec@5 67.969 (67.614) Epoch: [22][7260/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.5958 (2.6676) Prec@1 45.312 (42.455) Prec@5 69.531 (67.612) Epoch: [22][7270/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9011 (2.6676) Prec@1 41.406 (42.456) Prec@5 66.406 (67.612) Epoch: [22][7280/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4291 (2.6677) Prec@1 44.531 (42.456) Prec@5 72.656 (67.611) Epoch: [22][7290/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7441 (2.6677) Prec@1 44.531 (42.456) Prec@5 63.281 (67.608) Epoch: [22][7300/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.5345 (2.6677) Prec@1 50.000 (42.459) Prec@5 69.531 (67.607) Epoch: [22][7310/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7570 (2.6677) Prec@1 39.062 (42.456) Prec@5 63.281 (67.607) Epoch: [22][7320/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9592 (2.6676) Prec@1 35.938 (42.454) Prec@5 64.844 (67.610) Epoch: [22][7330/10010] Time 0.330 (0.332) Data 0.005 (0.001) Loss 2.7731 (2.6676) Prec@1 39.844 (42.454) Prec@5 67.188 (67.610) Epoch: [22][7340/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.5559 (2.6677) Prec@1 49.219 (42.452) Prec@5 70.312 (67.610) Epoch: [22][7350/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6346 (2.6676) Prec@1 42.188 (42.453) Prec@5 67.188 (67.612) Epoch: [22][7360/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5315 (2.6675) Prec@1 46.094 (42.453) Prec@5 71.094 (67.612) Epoch: [22][7370/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5911 (2.6677) Prec@1 42.188 (42.448) Prec@5 67.969 (67.609) Epoch: [22][7380/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7044 (2.6677) Prec@1 44.531 (42.449) Prec@5 68.750 (67.608) Epoch: [22][7390/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.6109 (2.6677) Prec@1 42.188 (42.448) Prec@5 67.188 (67.609) Epoch: [22][7400/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.8260 (2.6678) Prec@1 42.188 (42.444) Prec@5 66.406 (67.607) Epoch: [22][7410/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9639 (2.6679) Prec@1 38.281 (42.442) Prec@5 60.156 (67.605) Epoch: [22][7420/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.2649 (2.6681) Prec@1 44.531 (42.439) Prec@5 71.094 (67.607) Epoch: [22][7430/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4900 (2.6681) Prec@1 46.094 (42.437) Prec@5 69.531 (67.605) Epoch: [22][7440/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5017 (2.6681) Prec@1 43.750 (42.434) Prec@5 73.438 (67.606) Epoch: [22][7450/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8002 (2.6680) Prec@1 37.500 (42.437) Prec@5 61.719 (67.607) Epoch: [22][7460/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.1367 (2.6681) Prec@1 53.906 (42.437) Prec@5 78.125 (67.605) Epoch: [22][7470/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7511 (2.6680) Prec@1 39.062 (42.437) Prec@5 65.625 (67.606) Epoch: [22][7480/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.9117 (2.6682) Prec@1 36.719 (42.436) Prec@5 61.719 (67.605) Epoch: [22][7490/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 3.0854 (2.6683) Prec@1 35.938 (42.434) Prec@5 61.719 (67.603) Epoch: [22][7500/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.6139 (2.6684) Prec@1 43.750 (42.432) Prec@5 69.531 (67.600) Epoch: [22][7510/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.6922 (2.6686) Prec@1 36.719 (42.430) Prec@5 67.188 (67.599) Epoch: [22][7520/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.9898 (2.6686) Prec@1 37.500 (42.431) Prec@5 61.719 (67.600) Epoch: [22][7530/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.5437 (2.6687) Prec@1 45.312 (42.430) Prec@5 69.531 (67.597) Epoch: [22][7540/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9599 (2.6687) Prec@1 35.156 (42.425) Prec@5 59.375 (67.595) Epoch: [22][7550/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.4780 (2.6687) Prec@1 49.219 (42.425) Prec@5 73.438 (67.595) Epoch: [22][7560/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.4103 (2.6685) Prec@1 49.219 (42.428) Prec@5 71.094 (67.599) Epoch: [22][7570/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9314 (2.6687) Prec@1 38.281 (42.426) Prec@5 62.500 (67.595) Epoch: [22][7580/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.3782 (2.6687) Prec@1 48.438 (42.428) Prec@5 68.750 (67.595) Epoch: [22][7590/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.8773 (2.6687) Prec@1 39.062 (42.428) Prec@5 67.969 (67.597) Epoch: [22][7600/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4814 (2.6688) Prec@1 46.875 (42.427) Prec@5 69.531 (67.596) Epoch: [22][7610/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7166 (2.6688) Prec@1 45.312 (42.427) Prec@5 66.406 (67.596) Epoch: [22][7620/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4458 (2.6688) Prec@1 48.438 (42.427) Prec@5 70.312 (67.596) Epoch: [22][7630/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6776 (2.6688) Prec@1 40.625 (42.428) Prec@5 64.844 (67.595) Epoch: [22][7640/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 3.0664 (2.6689) Prec@1 35.156 (42.426) Prec@5 60.938 (67.592) Epoch: [22][7650/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7321 (2.6690) Prec@1 46.094 (42.426) Prec@5 68.750 (67.589) Epoch: [22][7660/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8319 (2.6690) Prec@1 39.844 (42.426) Prec@5 66.406 (67.590) Epoch: [22][7670/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.7033 (2.6690) Prec@1 42.188 (42.426) Prec@5 67.188 (67.591) Epoch: [22][7680/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.2979 (2.6691) Prec@1 44.531 (42.423) Prec@5 71.094 (67.588) Epoch: [22][7690/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.5287 (2.6690) Prec@1 48.438 (42.426) Prec@5 69.531 (67.591) Epoch: [22][7700/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.5954 (2.6689) Prec@1 43.750 (42.426) Prec@5 67.969 (67.591) Epoch: [22][7710/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.9754 (2.6690) Prec@1 42.969 (42.427) Prec@5 65.625 (67.590) Epoch: [22][7720/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6214 (2.6691) Prec@1 42.969 (42.427) Prec@5 71.094 (67.587) Epoch: [22][7730/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.5863 (2.6692) Prec@1 47.656 (42.425) Prec@5 69.531 (67.587) Epoch: [22][7740/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8657 (2.6691) Prec@1 36.719 (42.425) Prec@5 61.719 (67.588) Epoch: [22][7750/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.9200 (2.6691) Prec@1 39.062 (42.427) Prec@5 60.156 (67.588) Epoch: [22][7760/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.5546 (2.6690) Prec@1 46.094 (42.429) Prec@5 63.281 (67.587) Epoch: [22][7770/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.4650 (2.6690) Prec@1 44.531 (42.430) Prec@5 69.531 (67.587) Epoch: [22][7780/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7697 (2.6692) Prec@1 39.844 (42.425) Prec@5 57.031 (67.582) Epoch: [22][7790/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.4669 (2.6692) Prec@1 44.531 (42.425) Prec@5 70.312 (67.582) Epoch: [22][7800/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.7185 (2.6693) Prec@1 35.938 (42.422) Prec@5 64.844 (67.582) Epoch: [22][7810/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 3.0227 (2.6693) Prec@1 36.719 (42.424) Prec@5 60.938 (67.584) Epoch: [22][7820/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.7645 (2.6692) Prec@1 39.844 (42.427) Prec@5 68.750 (67.585) Epoch: [22][7830/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.5849 (2.6691) Prec@1 46.875 (42.430) Prec@5 71.875 (67.588) Epoch: [22][7840/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4549 (2.6691) Prec@1 47.656 (42.429) Prec@5 67.188 (67.588) Epoch: [22][7850/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.7427 (2.6692) Prec@1 43.750 (42.429) Prec@5 63.281 (67.585) Epoch: [22][7860/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8495 (2.6693) Prec@1 34.375 (42.428) Prec@5 65.625 (67.584) Epoch: [22][7870/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.8409 (2.6694) Prec@1 40.625 (42.426) Prec@5 63.281 (67.582) Epoch: [22][7880/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3865 (2.6695) Prec@1 46.875 (42.423) Prec@5 71.094 (67.582) Epoch: [22][7890/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.9041 (2.6696) Prec@1 42.969 (42.422) Prec@5 64.062 (67.580) Epoch: [22][7900/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 3.0221 (2.6698) Prec@1 36.719 (42.420) Prec@5 61.719 (67.578) Epoch: [22][7910/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8763 (2.6698) Prec@1 39.062 (42.417) Prec@5 60.938 (67.576) Epoch: [22][7920/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6833 (2.6698) Prec@1 35.938 (42.418) Prec@5 66.406 (67.577) Epoch: [22][7930/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.7690 (2.6698) Prec@1 42.969 (42.416) Prec@5 69.531 (67.576) Epoch: [22][7940/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7346 (2.6697) Prec@1 42.188 (42.418) Prec@5 64.062 (67.576) Epoch: [22][7950/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.5878 (2.6697) Prec@1 43.750 (42.418) Prec@5 69.531 (67.577) Epoch: [22][7960/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6840 (2.6697) Prec@1 47.656 (42.417) Prec@5 64.844 (67.575) Epoch: [22][7970/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.6610 (2.6698) Prec@1 41.406 (42.417) Prec@5 65.625 (67.575) Epoch: [22][7980/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8171 (2.6698) Prec@1 33.594 (42.416) Prec@5 62.500 (67.572) Epoch: [22][7990/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.4866 (2.6699) Prec@1 42.969 (42.414) Prec@5 71.875 (67.569) Epoch: [22][8000/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.0720 (2.6700) Prec@1 42.188 (42.413) Prec@5 60.156 (67.566) Epoch: [22][8010/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.5882 (2.6699) Prec@1 40.625 (42.415) Prec@5 68.750 (67.567) Epoch: [22][8020/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.3694 (2.6698) Prec@1 40.625 (42.415) Prec@5 70.312 (67.568) Epoch: [22][8030/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6745 (2.6698) Prec@1 46.875 (42.416) Prec@5 64.844 (67.569) Epoch: [22][8040/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.3817 (2.6697) Prec@1 50.781 (42.419) Prec@5 73.438 (67.571) Epoch: [22][8050/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8216 (2.6695) Prec@1 40.625 (42.421) Prec@5 60.938 (67.573) Epoch: [22][8060/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.8919 (2.6697) Prec@1 39.062 (42.420) Prec@5 64.062 (67.572) Epoch: [22][8070/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.6598 (2.6697) Prec@1 44.531 (42.423) Prec@5 64.844 (67.571) Epoch: [22][8080/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.9773 (2.6696) Prec@1 28.125 (42.419) Prec@5 61.719 (67.572) Epoch: [22][8090/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.6930 (2.6696) Prec@1 39.844 (42.420) Prec@5 66.406 (67.572) Epoch: [22][8100/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.8763 (2.6697) Prec@1 39.062 (42.417) Prec@5 68.750 (67.571) Epoch: [22][8110/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6960 (2.6696) Prec@1 42.188 (42.418) Prec@5 71.094 (67.573) Epoch: [22][8120/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.7760 (2.6696) Prec@1 45.312 (42.418) Prec@5 64.844 (67.571) Epoch: [22][8130/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.3767 (2.6696) Prec@1 52.344 (42.420) Prec@5 76.562 (67.570) Epoch: [22][8140/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.5742 (2.6697) Prec@1 44.531 (42.421) Prec@5 70.312 (67.569) Epoch: [22][8150/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.8555 (2.6697) Prec@1 42.188 (42.420) Prec@5 66.406 (67.570) Epoch: [22][8160/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7173 (2.6697) Prec@1 47.656 (42.419) Prec@5 69.531 (67.569) Epoch: [22][8170/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.8692 (2.6698) Prec@1 36.719 (42.418) Prec@5 63.281 (67.566) Epoch: [22][8180/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.3612 (2.6697) Prec@1 49.219 (42.419) Prec@5 73.438 (67.568) Epoch: [22][8190/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.4668 (2.6696) Prec@1 45.312 (42.420) Prec@5 68.750 (67.569) Epoch: [22][8200/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7598 (2.6696) Prec@1 38.281 (42.422) Prec@5 65.625 (67.570) Epoch: [22][8210/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.8356 (2.6696) Prec@1 41.406 (42.421) Prec@5 60.938 (67.569) Epoch: [22][8220/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6588 (2.6695) Prec@1 32.812 (42.421) Prec@5 66.406 (67.572) Epoch: [22][8230/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5091 (2.6696) Prec@1 42.969 (42.419) Prec@5 71.875 (67.572) Epoch: [22][8240/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7468 (2.6696) Prec@1 39.062 (42.420) Prec@5 65.625 (67.572) Epoch: [22][8250/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6706 (2.6695) Prec@1 41.406 (42.421) Prec@5 63.281 (67.573) Epoch: [22][8260/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8038 (2.6696) Prec@1 41.406 (42.417) Prec@5 68.750 (67.572) Epoch: [22][8270/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.7779 (2.6698) Prec@1 41.406 (42.415) Prec@5 62.500 (67.569) Epoch: [22][8280/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.8269 (2.6697) Prec@1 35.156 (42.416) Prec@5 68.750 (67.569) Epoch: [22][8290/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6702 (2.6696) Prec@1 36.719 (42.417) Prec@5 64.062 (67.569) Epoch: [22][8300/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8376 (2.6696) Prec@1 40.625 (42.416) Prec@5 64.844 (67.570) Epoch: [22][8310/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.0985 (2.6697) Prec@1 33.594 (42.416) Prec@5 57.031 (67.568) Epoch: [22][8320/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8001 (2.6696) Prec@1 42.188 (42.417) Prec@5 68.750 (67.571) Epoch: [22][8330/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7148 (2.6696) Prec@1 42.969 (42.419) Prec@5 61.719 (67.570) Epoch: [22][8340/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8110 (2.6697) Prec@1 40.625 (42.417) Prec@5 63.281 (67.569) Epoch: [22][8350/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6108 (2.6698) Prec@1 45.312 (42.415) Prec@5 66.406 (67.567) Epoch: [22][8360/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.3828 (2.6698) Prec@1 46.094 (42.414) Prec@5 71.875 (67.568) Epoch: [22][8370/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.4987 (2.6699) Prec@1 44.531 (42.411) Prec@5 73.438 (67.567) Epoch: [22][8380/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7817 (2.6700) Prec@1 39.062 (42.408) Prec@5 65.625 (67.567) Epoch: [22][8390/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6641 (2.6700) Prec@1 42.969 (42.407) Prec@5 62.500 (67.565) Epoch: [22][8400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6503 (2.6701) Prec@1 40.625 (42.407) Prec@5 67.188 (67.563) Epoch: [22][8410/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8151 (2.6701) Prec@1 36.719 (42.408) Prec@5 64.062 (67.562) Epoch: [22][8420/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4164 (2.6699) Prec@1 46.875 (42.410) Prec@5 71.875 (67.565) Epoch: [22][8430/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6456 (2.6699) Prec@1 39.844 (42.407) Prec@5 66.406 (67.564) Epoch: [22][8440/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7434 (2.6699) Prec@1 42.188 (42.408) Prec@5 63.281 (67.565) Epoch: [22][8450/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.7769 (2.6698) Prec@1 39.844 (42.410) Prec@5 64.844 (67.566) Epoch: [22][8460/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5194 (2.6698) Prec@1 50.000 (42.410) Prec@5 67.969 (67.565) Epoch: [22][8470/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8787 (2.6700) Prec@1 42.969 (42.407) Prec@5 65.625 (67.562) Epoch: [22][8480/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4303 (2.6701) Prec@1 50.000 (42.406) Prec@5 72.656 (67.560) Epoch: [22][8490/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.0153 (2.6701) Prec@1 36.719 (42.408) Prec@5 66.406 (67.559) Epoch: [22][8500/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8581 (2.6702) Prec@1 36.719 (42.406) Prec@5 61.719 (67.560) Epoch: [22][8510/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5753 (2.6703) Prec@1 42.969 (42.404) Prec@5 66.406 (67.558) Epoch: [22][8520/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4040 (2.6703) Prec@1 45.312 (42.404) Prec@5 72.656 (67.559) Epoch: [22][8530/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5658 (2.6703) Prec@1 47.656 (42.405) Prec@5 70.312 (67.560) Epoch: [22][8540/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5959 (2.6702) Prec@1 43.750 (42.406) Prec@5 67.969 (67.561) Epoch: [22][8550/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5829 (2.6702) Prec@1 41.406 (42.407) Prec@5 65.625 (67.561) Epoch: [22][8560/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6968 (2.6703) Prec@1 45.312 (42.406) Prec@5 65.625 (67.560) Epoch: [22][8570/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.3761 (2.6704) Prec@1 46.875 (42.402) Prec@5 71.094 (67.558) Epoch: [22][8580/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.9051 (2.6705) Prec@1 34.375 (42.400) Prec@5 63.281 (67.559) Epoch: [22][8590/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7996 (2.6705) Prec@1 33.594 (42.398) Prec@5 64.062 (67.559) Epoch: [22][8600/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0000 (2.6705) Prec@1 39.844 (42.399) Prec@5 57.812 (67.559) Epoch: [22][8610/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4870 (2.6704) Prec@1 45.312 (42.401) Prec@5 70.312 (67.562) Epoch: [22][8620/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6280 (2.6704) Prec@1 47.656 (42.401) Prec@5 69.531 (67.563) Epoch: [22][8630/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7551 (2.6704) Prec@1 39.844 (42.400) Prec@5 63.281 (67.563) Epoch: [22][8640/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8919 (2.6704) Prec@1 39.062 (42.399) Prec@5 64.062 (67.562) Epoch: [22][8650/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3620 (2.6705) Prec@1 49.219 (42.399) Prec@5 77.344 (67.562) Epoch: [22][8660/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8425 (2.6704) Prec@1 39.844 (42.400) Prec@5 66.406 (67.564) Epoch: [22][8670/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6606 (2.6704) Prec@1 39.062 (42.399) Prec@5 66.406 (67.563) Epoch: [22][8680/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.0278 (2.6706) Prec@1 32.812 (42.396) Prec@5 60.938 (67.560) Epoch: [22][8690/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1799 (2.6705) Prec@1 50.781 (42.398) Prec@5 75.781 (67.561) Epoch: [22][8700/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7843 (2.6705) Prec@1 40.625 (42.398) Prec@5 64.844 (67.562) Epoch: [22][8710/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3681 (2.6705) Prec@1 46.094 (42.397) Prec@5 71.875 (67.562) Epoch: [22][8720/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4965 (2.6704) Prec@1 46.094 (42.398) Prec@5 67.188 (67.563) Epoch: [22][8730/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6683 (2.6704) Prec@1 39.062 (42.396) Prec@5 68.750 (67.563) Epoch: [22][8740/10010] Time 0.355 (0.331) Data 0.000 (0.001) Loss 2.5686 (2.6704) Prec@1 39.062 (42.397) Prec@5 69.531 (67.563) Epoch: [22][8750/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8057 (2.6705) Prec@1 41.406 (42.396) Prec@5 67.188 (67.562) Epoch: [22][8760/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.3577 (2.6704) Prec@1 41.406 (42.397) Prec@5 74.219 (67.561) Epoch: [22][8770/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5658 (2.6705) Prec@1 36.719 (42.394) Prec@5 67.969 (67.557) Epoch: [22][8780/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5576 (2.6704) Prec@1 47.656 (42.396) Prec@5 68.750 (67.559) Epoch: [22][8790/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7975 (2.6704) Prec@1 35.156 (42.395) Prec@5 66.406 (67.559) Epoch: [22][8800/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4471 (2.6703) Prec@1 41.406 (42.394) Prec@5 73.438 (67.560) Epoch: [22][8810/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4095 (2.6703) Prec@1 48.438 (42.396) Prec@5 66.406 (67.559) Epoch: [22][8820/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7399 (2.6701) Prec@1 40.625 (42.397) Prec@5 62.500 (67.562) Epoch: [22][8830/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4544 (2.6700) Prec@1 39.844 (42.400) Prec@5 72.656 (67.563) Epoch: [22][8840/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8051 (2.6700) Prec@1 43.750 (42.401) Prec@5 64.062 (67.564) Epoch: [22][8850/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7502 (2.6700) Prec@1 40.625 (42.402) Prec@5 64.062 (67.563) Epoch: [22][8860/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5696 (2.6700) Prec@1 44.531 (42.401) Prec@5 71.875 (67.563) Epoch: [22][8870/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.1573 (2.6702) Prec@1 35.156 (42.399) Prec@5 65.625 (67.562) Epoch: [22][8880/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5418 (2.6701) Prec@1 46.875 (42.399) Prec@5 68.750 (67.562) Epoch: [22][8890/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.1195 (2.6703) Prec@1 34.375 (42.397) Prec@5 55.469 (67.560) Epoch: [22][8900/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8365 (2.6703) Prec@1 35.938 (42.396) Prec@5 64.062 (67.559) Epoch: [22][8910/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7544 (2.6704) Prec@1 42.188 (42.395) Prec@5 64.062 (67.558) Epoch: [22][8920/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7937 (2.6704) Prec@1 42.969 (42.395) Prec@5 68.750 (67.557) Epoch: [22][8930/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5148 (2.6704) Prec@1 47.656 (42.396) Prec@5 71.094 (67.558) Epoch: [22][8940/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7652 (2.6704) Prec@1 38.281 (42.396) Prec@5 68.750 (67.557) Epoch: [22][8950/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4936 (2.6704) Prec@1 47.656 (42.397) Prec@5 75.000 (67.559) Epoch: [22][8960/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9520 (2.6704) Prec@1 36.719 (42.396) Prec@5 60.938 (67.557) Epoch: [22][8970/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8756 (2.6704) Prec@1 39.844 (42.398) Prec@5 68.750 (67.560) Epoch: [22][8980/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1843 (2.6703) Prec@1 51.562 (42.399) Prec@5 78.906 (67.563) Epoch: [22][8990/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5450 (2.6703) Prec@1 42.969 (42.396) Prec@5 67.969 (67.561) Epoch: [22][9000/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7201 (2.6704) Prec@1 43.750 (42.396) Prec@5 69.531 (67.561) Epoch: [22][9010/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8760 (2.6704) Prec@1 42.188 (42.397) Prec@5 66.406 (67.560) Epoch: [22][9020/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8245 (2.6703) Prec@1 41.406 (42.397) Prec@5 66.406 (67.562) Epoch: [22][9030/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6589 (2.6702) Prec@1 39.062 (42.398) Prec@5 69.531 (67.565) Epoch: [22][9040/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4373 (2.6702) Prec@1 46.094 (42.398) Prec@5 67.188 (67.565) Epoch: [22][9050/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8594 (2.6702) Prec@1 40.625 (42.396) Prec@5 61.719 (67.563) Epoch: [22][9060/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6408 (2.6702) Prec@1 39.844 (42.395) Prec@5 67.969 (67.563) Epoch: [22][9070/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8521 (2.6703) Prec@1 39.062 (42.393) Prec@5 62.500 (67.561) Epoch: [22][9080/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0304 (2.6703) Prec@1 40.625 (42.393) Prec@5 65.625 (67.560) Epoch: [22][9090/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.1177 (2.6703) Prec@1 37.500 (42.395) Prec@5 60.156 (67.560) Epoch: [22][9100/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6829 (2.6703) Prec@1 43.750 (42.397) Prec@5 69.531 (67.561) Epoch: [22][9110/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.1397 (2.6703) Prec@1 35.938 (42.397) Prec@5 60.156 (67.561) Epoch: [22][9120/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4656 (2.6704) Prec@1 47.656 (42.395) Prec@5 71.094 (67.560) /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: [22][9130/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6586 (2.6704) Prec@1 47.656 (42.396) Prec@5 66.406 (67.559) Epoch: [22][9140/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7687 (2.6704) Prec@1 39.062 (42.397) Prec@5 62.500 (67.558) Epoch: [22][9150/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.5237 (2.6705) Prec@1 43.750 (42.395) Prec@5 69.531 (67.555) Epoch: [22][9160/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6883 (2.6705) Prec@1 41.406 (42.396) Prec@5 66.406 (67.556) Epoch: [22][9170/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.8681 (2.6706) Prec@1 43.750 (42.394) Prec@5 66.406 (67.553) Epoch: [22][9180/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9629 (2.6707) Prec@1 37.500 (42.393) Prec@5 64.844 (67.553) Epoch: [22][9190/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7240 (2.6707) Prec@1 47.656 (42.393) Prec@5 64.062 (67.553) Epoch: [22][9200/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7592 (2.6709) Prec@1 44.531 (42.390) Prec@5 60.938 (67.549) Epoch: [22][9210/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8510 (2.6709) Prec@1 39.062 (42.389) Prec@5 64.062 (67.547) Epoch: [22][9220/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7235 (2.6710) Prec@1 37.500 (42.387) Prec@5 67.969 (67.546) Epoch: [22][9230/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9844 (2.6710) Prec@1 34.375 (42.387) Prec@5 62.500 (67.546) Epoch: [22][9240/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8062 (2.6710) Prec@1 35.156 (42.387) Prec@5 61.719 (67.545) Epoch: [22][9250/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3043 (2.6709) Prec@1 51.562 (42.389) Prec@5 76.562 (67.545) Epoch: [22][9260/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0270 (2.6710) Prec@1 35.156 (42.387) Prec@5 60.938 (67.543) Epoch: [22][9270/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4531 (2.6711) Prec@1 46.875 (42.384) Prec@5 68.750 (67.542) Epoch: [22][9280/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6795 (2.6712) Prec@1 39.844 (42.383) Prec@5 69.531 (67.541) Epoch: [22][9290/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.0861 (2.6712) Prec@1 34.375 (42.382) Prec@5 56.250 (67.541) Epoch: [22][9300/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.0501 (2.6711) Prec@1 41.406 (42.383) Prec@5 59.375 (67.542) Epoch: [22][9310/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8393 (2.6712) Prec@1 37.500 (42.382) Prec@5 67.188 (67.541) Epoch: [22][9320/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3538 (2.6711) Prec@1 49.219 (42.383) Prec@5 71.094 (67.542) Epoch: [22][9330/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5099 (2.6711) Prec@1 45.312 (42.383) Prec@5 69.531 (67.543) Epoch: [22][9340/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5204 (2.6711) Prec@1 48.438 (42.385) Prec@5 68.750 (67.543) Epoch: [22][9350/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8740 (2.6711) Prec@1 39.062 (42.383) Prec@5 60.938 (67.541) Epoch: [22][9360/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9767 (2.6712) Prec@1 39.062 (42.380) Prec@5 67.188 (67.539) Epoch: [22][9370/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3008 (2.6713) Prec@1 49.219 (42.381) Prec@5 71.875 (67.539) Epoch: [22][9380/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9083 (2.6713) Prec@1 42.969 (42.382) Prec@5 62.500 (67.539) Epoch: [22][9390/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3947 (2.6712) Prec@1 46.094 (42.383) Prec@5 72.656 (67.541) Epoch: [22][9400/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5673 (2.6712) Prec@1 49.219 (42.384) Prec@5 71.094 (67.542) Epoch: [22][9410/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4391 (2.6712) Prec@1 42.969 (42.385) Prec@5 72.656 (67.543) Epoch: [22][9420/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2778 (2.6712) Prec@1 44.531 (42.385) Prec@5 74.219 (67.544) Epoch: [22][9430/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4410 (2.6711) Prec@1 40.625 (42.386) Prec@5 71.094 (67.546) Epoch: [22][9440/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.3893 (2.6710) Prec@1 45.312 (42.386) Prec@5 71.094 (67.546) Epoch: [22][9450/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6368 (2.6710) Prec@1 40.625 (42.388) Prec@5 67.969 (67.548) Epoch: [22][9460/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6230 (2.6709) Prec@1 41.406 (42.388) Prec@5 70.312 (67.548) Epoch: [22][9470/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9895 (2.6709) Prec@1 37.500 (42.388) Prec@5 66.406 (67.550) Epoch: [22][9480/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4578 (2.6708) Prec@1 41.406 (42.387) Prec@5 66.406 (67.551) Epoch: [22][9490/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.4581 (2.6710) Prec@1 46.094 (42.384) Prec@5 75.000 (67.551) Epoch: [22][9500/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5402 (2.6710) Prec@1 50.000 (42.385) Prec@5 66.406 (67.548) Epoch: [22][9510/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8057 (2.6710) Prec@1 41.406 (42.386) Prec@5 64.062 (67.549) Epoch: [22][9520/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.6998 (2.6710) Prec@1 42.969 (42.385) Prec@5 66.406 (67.547) Epoch: [22][9530/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.2940 (2.6711) Prec@1 47.656 (42.382) Prec@5 75.781 (67.546) Epoch: [22][9540/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3459 (2.6710) Prec@1 50.781 (42.384) Prec@5 74.219 (67.547) Epoch: [22][9550/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7048 (2.6711) Prec@1 45.312 (42.384) Prec@5 72.656 (67.547) Epoch: [22][9560/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6733 (2.6711) Prec@1 39.844 (42.383) Prec@5 66.406 (67.547) Epoch: [22][9570/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6212 (2.6712) Prec@1 42.188 (42.382) Prec@5 68.750 (67.544) Epoch: [22][9580/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6841 (2.6713) Prec@1 47.656 (42.380) Prec@5 68.750 (67.544) Epoch: [22][9590/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7175 (2.6713) Prec@1 38.281 (42.380) Prec@5 62.500 (67.544) Epoch: [22][9600/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 3.0420 (2.6714) Prec@1 40.625 (42.378) Prec@5 63.281 (67.543) Epoch: [22][9610/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.8509 (2.6716) Prec@1 37.500 (42.375) Prec@5 62.500 (67.540) Epoch: [22][9620/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4593 (2.6716) Prec@1 41.406 (42.375) Prec@5 71.094 (67.539) Epoch: [22][9630/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0454 (2.6716) Prec@1 35.156 (42.375) Prec@5 60.938 (67.539) Epoch: [22][9640/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.7124 (2.6716) Prec@1 44.531 (42.374) Prec@5 64.844 (67.538) Epoch: [22][9650/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8681 (2.6716) Prec@1 43.750 (42.373) Prec@5 64.844 (67.539) Epoch: [22][9660/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.5541 (2.6716) Prec@1 45.312 (42.372) Prec@5 69.531 (67.537) Epoch: [22][9670/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8757 (2.6717) Prec@1 39.062 (42.370) Prec@5 65.625 (67.535) Epoch: [22][9680/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8664 (2.6719) Prec@1 42.969 (42.370) Prec@5 63.281 (67.533) Epoch: [22][9690/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9887 (2.6719) Prec@1 35.938 (42.371) Prec@5 64.062 (67.532) Epoch: [22][9700/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4259 (2.6718) Prec@1 42.969 (42.374) Prec@5 75.000 (67.534) Epoch: [22][9710/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9064 (2.6718) Prec@1 39.844 (42.373) Prec@5 62.500 (67.533) Epoch: [22][9720/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.6940 (2.6718) Prec@1 38.281 (42.373) Prec@5 65.625 (67.531) Epoch: [22][9730/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4916 (2.6717) Prec@1 42.969 (42.375) Prec@5 70.312 (67.533) Epoch: [22][9740/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8805 (2.6717) Prec@1 37.500 (42.374) Prec@5 65.625 (67.531) Epoch: [22][9750/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6344 (2.6716) Prec@1 46.094 (42.376) Prec@5 68.750 (67.533) Epoch: [22][9760/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3822 (2.6715) Prec@1 48.438 (42.378) Prec@5 72.656 (67.535) Epoch: [22][9770/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3934 (2.6714) Prec@1 46.875 (42.381) Prec@5 76.562 (67.537) Epoch: [22][9780/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6486 (2.6714) Prec@1 46.875 (42.382) Prec@5 68.750 (67.537) Epoch: [22][9790/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6763 (2.6715) Prec@1 39.844 (42.381) Prec@5 70.312 (67.536) Epoch: [22][9800/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.2321 (2.6715) Prec@1 51.562 (42.381) Prec@5 72.656 (67.534) Epoch: [22][9810/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8934 (2.6715) Prec@1 35.156 (42.381) Prec@5 62.500 (67.534) Epoch: [22][9820/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9317 (2.6714) Prec@1 36.719 (42.381) Prec@5 64.844 (67.536) Epoch: [22][9830/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8784 (2.6714) Prec@1 41.406 (42.380) Prec@5 64.844 (67.536) Epoch: [22][9840/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5981 (2.6714) Prec@1 40.625 (42.379) Prec@5 67.188 (67.535) Epoch: [22][9850/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6768 (2.6715) Prec@1 46.875 (42.378) Prec@5 69.531 (67.534) Epoch: [22][9860/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4138 (2.6714) Prec@1 46.094 (42.380) Prec@5 70.312 (67.537) Epoch: [22][9870/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5251 (2.6713) Prec@1 42.188 (42.382) Prec@5 69.531 (67.539) Epoch: [22][9880/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5430 (2.6714) Prec@1 42.188 (42.380) Prec@5 71.875 (67.537) Epoch: [22][9890/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4477 (2.6714) Prec@1 50.781 (42.383) Prec@5 74.219 (67.535) Epoch: [22][9900/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6968 (2.6714) Prec@1 41.406 (42.382) Prec@5 67.188 (67.536) Epoch: [22][9910/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7903 (2.6714) Prec@1 38.281 (42.383) Prec@5 60.156 (67.536) Epoch: [22][9920/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.9449 (2.6714) Prec@1 39.844 (42.382) Prec@5 69.531 (67.537) Epoch: [22][9930/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5663 (2.6714) Prec@1 44.531 (42.383) Prec@5 71.094 (67.537) Epoch: [22][9940/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4612 (2.6714) Prec@1 42.969 (42.383) Prec@5 67.188 (67.535) Epoch: [22][9950/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5069 (2.6714) Prec@1 42.969 (42.383) Prec@5 69.531 (67.535) Epoch: [22][9960/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8021 (2.6714) Prec@1 41.406 (42.382) Prec@5 63.281 (67.533) Epoch: [22][9970/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5440 (2.6714) Prec@1 48.438 (42.382) Prec@5 71.875 (67.534) Epoch: [22][9980/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5984 (2.6713) Prec@1 42.188 (42.384) Prec@5 66.406 (67.534) Epoch: [22][9990/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6128 (2.6714) Prec@1 44.531 (42.384) Prec@5 70.312 (67.533) Epoch: [22][10000/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7898 (2.6713) Prec@1 46.094 (42.385) Prec@5 64.844 (67.534) Test: [0/391] Time 1.534 (1.534) Loss 1.7511 (1.7511) Prec@1 56.250 (56.250) Prec@5 83.594 (83.594) Test: [10/391] Time 0.107 (0.238) Loss 2.4392 (1.6022) Prec@1 49.219 (62.287) Prec@5 74.219 (84.588) Test: [20/391] Time 0.107 (0.177) Loss 1.8272 (1.9453) Prec@1 60.938 (54.985) Prec@5 80.469 (79.613) Test: [30/391] Time 0.102 (0.154) Loss 1.8332 (2.2188) Prec@1 60.938 (49.294) Prec@5 76.562 (75.151) Test: [40/391] Time 0.111 (0.144) Loss 2.7878 (2.0927) Prec@1 40.625 (52.268) Prec@5 62.500 (76.562) Test: [50/391] Time 0.102 (0.136) Loss 0.9126 (2.1430) Prec@1 76.562 (51.685) Prec@5 90.625 (75.475) Test: [60/391] Time 0.103 (0.131) Loss 1.6978 (2.0794) Prec@1 57.031 (52.869) Prec@5 82.031 (76.575) Test: [70/391] Time 0.103 (0.128) Loss 3.2177 (2.1399) Prec@1 22.656 (50.770) Prec@5 62.500 (75.759) Test: [80/391] Time 0.104 (0.125) Loss 1.8400 (2.1657) Prec@1 52.344 (49.605) Prec@5 78.125 (75.656) Test: [90/391] Time 0.111 (0.123) Loss 2.1668 (2.1825) Prec@1 40.625 (48.987) Prec@5 78.906 (75.515) Test: [100/391] Time 0.105 (0.121) Loss 3.1714 (2.1640) Prec@1 17.188 (48.770) Prec@5 61.719 (76.006) Test: [110/391] Time 0.109 (0.120) Loss 2.2070 (2.1796) Prec@1 46.875 (48.029) Prec@5 76.562 (75.894) Test: [120/391] Time 0.104 (0.119) Loss 1.6754 (2.1623) Prec@1 57.031 (48.405) Prec@5 84.375 (76.375) Test: [130/391] Time 0.104 (0.118) Loss 1.3419 (2.1345) Prec@1 71.094 (49.070) Prec@5 87.500 (76.831) Test: [140/391] Time 0.102 (0.117) Loss 2.2523 (2.1191) Prec@1 41.406 (49.285) Prec@5 74.219 (77.139) Test: [150/391] Time 0.108 (0.117) Loss 1.3904 (2.1023) Prec@1 57.812 (49.550) Prec@5 90.625 (77.349) Test: [160/391] Time 0.112 (0.116) Loss 3.2336 (2.1169) Prec@1 29.688 (49.330) Prec@5 55.469 (77.179) Test: [170/391] Time 0.108 (0.116) Loss 2.9545 (2.1662) Prec@1 37.500 (48.643) Prec@5 59.375 (76.325) Test: [180/391] Time 0.111 (0.116) Loss 3.5410 (2.1982) Prec@1 28.125 (48.265) Prec@5 59.375 (75.829) Test: [190/391] Time 0.103 (0.115) Loss 3.2623 (2.2375) Prec@1 37.500 (47.824) Prec@5 64.062 (75.209) Test: [200/391] Time 0.098 (0.115) Loss 3.9666 (2.2844) Prec@1 17.188 (47.023) Prec@5 39.062 (74.526) Test: [210/391] Time 0.106 (0.115) Loss 2.8116 (2.3169) Prec@1 39.062 (46.479) Prec@5 64.844 (74.026) Test: [220/391] Time 0.105 (0.114) Loss 1.8290 (2.3232) Prec@1 59.375 (46.532) Prec@5 80.469 (73.833) Test: [230/391] Time 0.108 (0.114) Loss 4.0545 (2.3433) Prec@1 20.312 (46.229) Prec@5 43.750 (73.498) Test: [240/391] Time 0.110 (0.114) Loss 2.8945 (2.3595) Prec@1 36.719 (46.026) Prec@5 63.281 (73.178) Test: [250/391] Time 0.110 (0.114) Loss 2.0030 (2.3812) Prec@1 56.250 (45.664) Prec@5 76.562 (72.887) Test: [260/391] Time 0.107 (0.114) Loss 3.1465 (2.4001) Prec@1 28.906 (45.229) Prec@5 62.500 (72.578) Test: [270/391] Time 0.107 (0.114) Loss 2.8439 (2.4146) Prec@1 39.062 (45.093) Prec@5 64.844 (72.207) Test: [280/391] Time 0.103 (0.114) Loss 2.3422 (2.4292) Prec@1 39.062 (44.873) Prec@5 72.656 (71.945) Test: [290/391] Time 0.103 (0.113) Loss 2.0610 (2.4380) Prec@1 49.219 (44.843) Prec@5 81.250 (71.778) Test: [300/391] Time 0.107 (0.113) Loss 2.2182 (2.4481) Prec@1 58.594 (44.780) Prec@5 78.125 (71.610) Test: [310/391] Time 0.110 (0.113) Loss 3.0765 (2.4617) Prec@1 36.719 (44.574) Prec@5 67.188 (71.390) Test: [320/391] Time 0.106 (0.113) Loss 1.7799 (2.4728) Prec@1 62.500 (44.492) Prec@5 84.375 (71.191) Test: [330/391] Time 0.107 (0.113) Loss 3.5213 (2.4956) Prec@1 35.156 (44.194) Prec@5 57.031 (70.827) Test: [340/391] Time 0.110 (0.113) Loss 2.6341 (2.5094) Prec@1 33.594 (43.977) Prec@5 72.656 (70.571) Test: [350/391] Time 0.107 (0.113) Loss 3.4142 (2.5176) Prec@1 30.469 (43.866) Prec@5 54.688 (70.417) Test: [360/391] Time 0.103 (0.112) Loss 2.9084 (2.5192) Prec@1 33.594 (43.856) Prec@5 59.375 (70.386) Test: [370/391] Time 0.107 (0.112) Loss 2.3128 (2.5128) Prec@1 38.281 (43.910) Prec@5 80.469 (70.500) Test: [380/391] Time 0.103 (0.112) Loss 1.6982 (2.5126) Prec@1 60.938 (43.965) Prec@5 89.062 (70.540) Test: [390/391] Time 0.068 (0.112) Loss 4.8382 (2.5029) Prec@1 16.250 (44.220) Prec@5 33.750 (70.680) * Prec@1 44.220 Prec@5 70.680 Epoch: [23][0/10010] Time 2.810 (2.810) Data 2.611 (2.611) Loss 2.9343 (2.9343) Prec@1 38.281 (38.281) Prec@5 59.375 (59.375) /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: [23][10/10010] Time 0.322 (0.549) Data 0.000 (0.238) Loss 2.7924 (2.7651) Prec@1 39.844 (41.051) Prec@5 68.750 (64.702) Epoch: [23][20/10010] Time 0.322 (0.441) Data 0.001 (0.125) Loss 2.5653 (2.7528) Prec@1 49.219 (40.960) Prec@5 70.312 (65.327) Epoch: [23][30/10010] Time 0.315 (0.402) Data 0.001 (0.085) Loss 2.4612 (2.7391) Prec@1 46.094 (41.154) Prec@5 68.750 (65.827) Epoch: [23][40/10010] Time 0.323 (0.383) Data 0.001 (0.064) Loss 2.7167 (2.7194) Prec@1 39.844 (41.235) Prec@5 69.531 (66.521) Epoch: [23][50/10010] Time 0.342 (0.373) Data 0.001 (0.052) Loss 2.3534 (2.7019) Prec@1 46.875 (41.835) Prec@5 71.875 (67.034) Epoch: [23][60/10010] Time 0.331 (0.366) Data 0.001 (0.043) Loss 2.5804 (2.6839) Prec@1 36.719 (42.188) Prec@5 69.531 (67.316) Epoch: [23][70/10010] Time 0.344 (0.362) Data 0.001 (0.037) Loss 2.8536 (2.6689) Prec@1 41.406 (42.650) Prec@5 67.969 (67.694) Epoch: [23][80/10010] Time 0.332 (0.358) Data 0.001 (0.033) Loss 2.1645 (2.6638) Prec@1 49.219 (42.525) Prec@5 75.000 (67.612) Epoch: [23][90/10010] Time 0.345 (0.356) Data 0.001 (0.029) Loss 2.8534 (2.6713) Prec@1 35.938 (42.385) Prec@5 63.281 (67.574) Epoch: [23][100/10010] Time 0.345 (0.353) Data 0.001 (0.027) Loss 2.7312 (2.6704) Prec@1 42.969 (42.319) Prec@5 65.625 (67.675) Epoch: [23][110/10010] Time 0.325 (0.351) Data 0.001 (0.024) Loss 2.6466 (2.6664) Prec@1 39.062 (42.370) Prec@5 64.844 (67.772) Epoch: [23][120/10010] Time 0.325 (0.349) Data 0.000 (0.022) Loss 2.6783 (2.6593) Prec@1 48.438 (42.652) Prec@5 68.750 (67.872) Epoch: [23][130/10010] Time 0.322 (0.348) Data 0.000 (0.021) Loss 2.5918 (2.6566) Prec@1 43.750 (42.623) Prec@5 69.531 (67.814) Epoch: [23][140/10010] Time 0.338 (0.346) Data 0.001 (0.019) Loss 2.7916 (2.6554) Prec@1 43.750 (42.625) Prec@5 64.062 (67.814) Epoch: [23][150/10010] Time 0.328 (0.346) Data 0.001 (0.018) Loss 2.4469 (2.6520) Prec@1 45.312 (42.679) Prec@5 72.656 (67.860) Epoch: [23][160/10010] Time 0.323 (0.344) Data 0.000 (0.017) Loss 2.6189 (2.6492) Prec@1 42.969 (42.716) Prec@5 71.094 (67.872) Epoch: [23][170/10010] Time 0.320 (0.343) Data 0.000 (0.016) Loss 2.3850 (2.6487) Prec@1 45.312 (42.644) Prec@5 71.875 (67.918) Epoch: [23][180/10010] Time 0.342 (0.343) Data 0.001 (0.015) Loss 2.4731 (2.6475) Prec@1 42.188 (42.615) Prec@5 73.438 (67.964) Epoch: [23][190/10010] Time 0.346 (0.342) Data 0.001 (0.014) Loss 2.8137 (2.6478) Prec@1 38.281 (42.568) Prec@5 66.406 (67.981) Epoch: [23][200/10010] Time 0.325 (0.341) Data 0.000 (0.014) Loss 2.7171 (2.6437) Prec@1 40.625 (42.638) Prec@5 62.500 (68.035) Epoch: [23][210/10010] Time 0.338 (0.341) Data 0.000 (0.013) Loss 2.5344 (2.6384) Prec@1 45.312 (42.802) Prec@5 67.969 (68.076) Epoch: [23][220/10010] Time 0.322 (0.340) Data 0.001 (0.012) Loss 2.7395 (2.6408) Prec@1 43.750 (42.760) Prec@5 64.844 (68.004) Epoch: [23][230/10010] Time 0.328 (0.340) Data 0.000 (0.012) Loss 2.3681 (2.6375) Prec@1 44.531 (42.783) Prec@5 71.875 (68.070) Epoch: [23][240/10010] Time 0.339 (0.340) Data 0.001 (0.011) Loss 2.6176 (2.6357) Prec@1 42.188 (42.810) Prec@5 71.094 (68.102) Epoch: [23][250/10010] Time 0.338 (0.340) Data 0.000 (0.011) Loss 2.5245 (2.6315) Prec@1 44.531 (42.894) Prec@5 71.875 (68.156) Epoch: [23][260/10010] Time 0.340 (0.339) Data 0.000 (0.011) Loss 2.6392 (2.6315) Prec@1 49.219 (42.939) Prec@5 68.750 (68.187) Epoch: [23][270/10010] Time 0.329 (0.339) Data 0.000 (0.010) Loss 2.2888 (2.6340) Prec@1 50.000 (42.902) Prec@5 72.656 (68.139) Epoch: [23][280/10010] Time 0.324 (0.338) Data 0.001 (0.010) Loss 2.4171 (2.6345) Prec@1 43.750 (42.819) Prec@5 70.312 (68.111) Epoch: [23][290/10010] Time 0.335 (0.338) Data 0.001 (0.010) Loss 2.9262 (2.6377) Prec@1 39.062 (42.735) Prec@5 63.281 (68.065) Epoch: [23][300/10010] Time 0.343 (0.338) Data 0.000 (0.009) Loss 2.6077 (2.6336) Prec@1 39.062 (42.774) Prec@5 66.406 (68.171) Epoch: [23][310/10010] Time 0.345 (0.338) Data 0.001 (0.009) Loss 2.5233 (2.6337) Prec@1 46.875 (42.790) Prec@5 70.312 (68.152) Epoch: [23][320/10010] Time 0.327 (0.338) Data 0.001 (0.009) Loss 2.9913 (2.6351) Prec@1 39.844 (42.779) Prec@5 66.406 (68.127) Epoch: [23][330/10010] Time 0.330 (0.337) Data 0.001 (0.009) Loss 2.8870 (2.6352) Prec@1 34.375 (42.796) Prec@5 67.969 (68.117) Epoch: [23][340/10010] Time 0.321 (0.337) Data 0.001 (0.008) Loss 2.2893 (2.6327) Prec@1 50.000 (42.856) Prec@5 75.000 (68.157) Epoch: [23][350/10010] Time 0.322 (0.337) Data 0.000 (0.008) Loss 2.5641 (2.6333) Prec@1 39.844 (42.869) Prec@5 72.656 (68.160) Epoch: [23][360/10010] Time 0.335 (0.337) Data 0.001 (0.008) Loss 2.5022 (2.6302) Prec@1 46.875 (42.925) Prec@5 67.969 (68.179) Epoch: [23][370/10010] Time 0.340 (0.336) Data 0.000 (0.008) Loss 2.6216 (2.6294) Prec@1 40.625 (42.960) Prec@5 73.438 (68.192) Epoch: [23][380/10010] Time 0.344 (0.336) Data 0.002 (0.007) Loss 2.8157 (2.6314) Prec@1 41.406 (42.924) Prec@5 66.406 (68.145) Epoch: [23][390/10010] Time 0.332 (0.336) Data 0.001 (0.007) Loss 2.5739 (2.6280) Prec@1 41.406 (42.983) Prec@5 66.406 (68.205) Epoch: [23][400/10010] Time 0.322 (0.336) Data 0.001 (0.007) Loss 2.8540 (2.6276) Prec@1 45.312 (43.010) Prec@5 66.406 (68.201) Epoch: [23][410/10010] Time 0.319 (0.336) Data 0.001 (0.007) Loss 2.9656 (2.6289) Prec@1 37.500 (43.054) Prec@5 59.375 (68.176) Epoch: [23][420/10010] Time 0.323 (0.336) Data 0.000 (0.007) Loss 3.1134 (2.6308) Prec@1 33.594 (43.013) Prec@5 64.062 (68.151) /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: [23][430/10010] Time 0.344 (0.336) Data 0.000 (0.007) Loss 2.8577 (2.6323) Prec@1 37.500 (43.016) Prec@5 65.625 (68.116) Epoch: [23][440/10010] Time 0.336 (0.336) Data 0.001 (0.007) Loss 3.0025 (2.6342) Prec@1 42.969 (42.990) Prec@5 56.250 (68.059) Epoch: [23][450/10010] Time 0.330 (0.336) Data 0.000 (0.006) Loss 2.8501 (2.6367) Prec@1 35.938 (42.939) Prec@5 64.844 (68.038) Epoch: [23][460/10010] Time 0.333 (0.336) Data 0.000 (0.006) Loss 2.7159 (2.6356) Prec@1 38.281 (42.904) Prec@5 74.219 (68.081) Epoch: [23][470/10010] Time 0.347 (0.336) Data 0.001 (0.006) Loss 2.8336 (2.6344) Prec@1 42.188 (42.926) Prec@5 64.062 (68.118) Epoch: [23][480/10010] Time 0.325 (0.336) Data 0.001 (0.006) Loss 2.8614 (2.6349) Prec@1 42.188 (42.915) Prec@5 63.281 (68.139) Epoch: [23][490/10010] Time 0.331 (0.336) Data 0.001 (0.006) Loss 2.9034 (2.6355) Prec@1 42.188 (42.910) Prec@5 71.094 (68.150) Epoch: [23][500/10010] Time 0.328 (0.336) Data 0.000 (0.006) Loss 2.6074 (2.6354) Prec@1 42.969 (42.913) Prec@5 70.312 (68.129) Epoch: [23][510/10010] Time 0.319 (0.335) Data 0.000 (0.006) Loss 2.6021 (2.6337) Prec@1 46.094 (42.940) Prec@5 66.406 (68.152) Epoch: [23][520/10010] Time 0.323 (0.335) Data 0.001 (0.006) Loss 2.7554 (2.6346) Prec@1 39.062 (42.957) Prec@5 64.062 (68.126) Epoch: [23][530/10010] Time 0.336 (0.335) Data 0.001 (0.006) Loss 2.4180 (2.6340) Prec@1 44.531 (42.979) Prec@5 72.656 (68.145) Epoch: [23][540/10010] Time 0.321 (0.335) Data 0.000 (0.005) Loss 2.5226 (2.6347) Prec@1 43.750 (42.957) Prec@5 71.875 (68.135) Epoch: [23][550/10010] Time 0.320 (0.335) Data 0.000 (0.005) Loss 2.8659 (2.6365) Prec@1 40.625 (42.942) Prec@5 66.406 (68.115) Epoch: [23][560/10010] Time 0.335 (0.335) Data 0.000 (0.005) Loss 2.0219 (2.6350) Prec@1 55.469 (42.990) Prec@5 73.438 (68.125) Epoch: [23][570/10010] Time 0.349 (0.335) Data 0.000 (0.005) Loss 2.1938 (2.6348) Prec@1 47.656 (42.989) Prec@5 78.125 (68.149) Epoch: [23][580/10010] Time 0.338 (0.335) Data 0.000 (0.005) Loss 2.5196 (2.6356) Prec@1 45.312 (42.978) Prec@5 67.969 (68.127) Epoch: [23][590/10010] Time 0.324 (0.335) Data 0.000 (0.005) Loss 2.4530 (2.6358) Prec@1 47.656 (42.958) Prec@5 72.656 (68.146) Epoch: [23][600/10010] Time 0.327 (0.335) Data 0.000 (0.005) Loss 3.1700 (2.6395) Prec@1 36.719 (42.917) Prec@5 60.156 (68.064) Epoch: [23][610/10010] Time 0.324 (0.335) Data 0.001 (0.005) Loss 2.5586 (2.6375) Prec@1 43.750 (42.936) Prec@5 71.094 (68.083) Epoch: [23][620/10010] Time 0.335 (0.335) Data 0.000 (0.005) Loss 2.4742 (2.6384) Prec@1 44.531 (42.911) Prec@5 71.094 (68.096) Epoch: [23][630/10010] Time 0.337 (0.335) Data 0.001 (0.005) Loss 2.9339 (2.6376) Prec@1 35.156 (42.928) Prec@5 63.281 (68.107) Epoch: [23][640/10010] Time 0.347 (0.335) Data 0.001 (0.005) Loss 2.5175 (2.6370) Prec@1 49.219 (42.944) Prec@5 72.656 (68.125) Epoch: [23][650/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 2.9893 (2.6373) Prec@1 35.156 (42.946) Prec@5 60.156 (68.114) Epoch: [23][660/10010] Time 0.341 (0.335) Data 0.001 (0.005) Loss 2.3556 (2.6380) Prec@1 42.969 (42.924) Prec@5 77.344 (68.092) Epoch: [23][670/10010] Time 0.335 (0.335) Data 0.000 (0.005) Loss 2.6266 (2.6374) Prec@1 43.750 (42.945) Prec@5 65.625 (68.103) Epoch: [23][680/10010] Time 0.336 (0.335) Data 0.001 (0.004) Loss 2.4375 (2.6355) Prec@1 48.438 (42.992) Prec@5 71.875 (68.150) Epoch: [23][690/10010] Time 0.342 (0.335) Data 0.000 (0.004) Loss 2.8774 (2.6374) Prec@1 39.062 (42.940) Prec@5 64.844 (68.113) Epoch: [23][700/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 2.9042 (2.6366) Prec@1 41.406 (42.965) Prec@5 65.625 (68.143) Epoch: [23][710/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.6832 (2.6366) Prec@1 39.062 (42.959) Prec@5 64.844 (68.151) Epoch: [23][720/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 2.7410 (2.6382) Prec@1 39.062 (42.931) Prec@5 64.062 (68.144) Epoch: [23][730/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 2.7561 (2.6381) Prec@1 41.406 (42.932) Prec@5 64.062 (68.154) Epoch: [23][740/10010] Time 0.313 (0.334) Data 0.000 (0.004) Loss 2.3252 (2.6390) Prec@1 46.875 (42.934) Prec@5 72.656 (68.146) Epoch: [23][750/10010] Time 0.329 (0.334) Data 0.001 (0.004) Loss 2.2810 (2.6388) Prec@1 46.094 (42.950) Prec@5 73.438 (68.142) Epoch: [23][760/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.4228 (2.6373) Prec@1 52.344 (42.994) Prec@5 68.750 (68.162) Epoch: [23][770/10010] Time 0.323 (0.334) Data 0.000 (0.004) Loss 2.7478 (2.6374) Prec@1 41.406 (43.001) Prec@5 70.312 (68.162) Epoch: [23][780/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 2.9976 (2.6375) Prec@1 42.969 (43.000) Prec@5 62.500 (68.175) Epoch: [23][790/10010] Time 0.339 (0.334) Data 0.000 (0.004) Loss 2.6641 (2.6386) Prec@1 39.844 (42.979) Prec@5 68.750 (68.172) Epoch: [23][800/10010] Time 0.353 (0.334) Data 0.001 (0.004) Loss 2.4886 (2.6386) Prec@1 49.219 (42.991) Prec@5 71.875 (68.176) Epoch: [23][810/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.4474 (2.6379) Prec@1 43.750 (43.004) Prec@5 71.094 (68.189) Epoch: [23][820/10010] Time 0.342 (0.334) Data 0.000 (0.004) Loss 2.1794 (2.6370) Prec@1 51.562 (43.025) Prec@5 78.125 (68.224) Epoch: [23][830/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 2.5722 (2.6364) Prec@1 43.750 (43.039) Prec@5 72.656 (68.236) Epoch: [23][840/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 2.3630 (2.6359) Prec@1 48.438 (43.060) Prec@5 71.094 (68.234) Epoch: [23][850/10010] Time 0.340 (0.334) Data 0.000 (0.004) Loss 3.0291 (2.6368) Prec@1 34.375 (43.039) Prec@5 60.156 (68.224) Epoch: [23][860/10010] Time 0.336 (0.334) Data 0.000 (0.004) Loss 2.6658 (2.6347) Prec@1 38.281 (43.050) Prec@5 68.750 (68.249) Epoch: [23][870/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.7155 (2.6353) Prec@1 38.281 (43.029) Prec@5 67.188 (68.249) Epoch: [23][880/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 2.7279 (2.6364) Prec@1 41.406 (43.018) Prec@5 68.750 (68.236) Epoch: [23][890/10010] Time 0.322 (0.334) Data 0.001 (0.004) Loss 2.3558 (2.6366) Prec@1 48.438 (43.005) Prec@5 71.875 (68.229) Epoch: [23][900/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 2.6776 (2.6373) Prec@1 39.844 (42.986) Prec@5 68.750 (68.205) Epoch: [23][910/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 2.6356 (2.6383) Prec@1 46.094 (42.974) Prec@5 67.188 (68.192) Epoch: [23][920/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.5866 (2.6378) Prec@1 43.750 (42.979) Prec@5 67.969 (68.187) Epoch: [23][930/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 2.7580 (2.6371) Prec@1 44.531 (42.989) Prec@5 64.844 (68.198) Epoch: [23][940/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.6784 (2.6373) Prec@1 39.062 (42.986) Prec@5 70.312 (68.208) Epoch: [23][950/10010] Time 0.325 (0.334) Data 0.000 (0.003) Loss 2.3769 (2.6364) Prec@1 45.312 (42.978) Prec@5 71.875 (68.218) Epoch: [23][960/10010] Time 0.339 (0.334) Data 0.000 (0.003) Loss 2.8551 (2.6368) Prec@1 37.500 (42.972) Prec@5 64.062 (68.209) Epoch: [23][970/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.9919 (2.6378) Prec@1 35.156 (42.948) Prec@5 63.281 (68.191) Epoch: [23][980/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 2.6825 (2.6385) Prec@1 37.500 (42.946) Prec@5 67.188 (68.178) Epoch: [23][990/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.6362 (2.6396) Prec@1 42.969 (42.928) Prec@5 66.406 (68.147) Epoch: [23][1000/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.9400 (2.6402) Prec@1 42.188 (42.929) Prec@5 61.719 (68.134) Epoch: [23][1010/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.8286 (2.6398) Prec@1 42.969 (42.938) Prec@5 61.719 (68.140) Epoch: [23][1020/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.3723 (2.6403) Prec@1 45.312 (42.928) Prec@5 73.438 (68.128) Epoch: [23][1030/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.4445 (2.6395) Prec@1 45.312 (42.947) Prec@5 67.188 (68.140) Epoch: [23][1040/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.7062 (2.6397) Prec@1 38.281 (42.942) Prec@5 67.188 (68.128) Epoch: [23][1050/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.7444 (2.6399) Prec@1 42.188 (42.951) Prec@5 60.938 (68.135) Epoch: [23][1060/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.6664 (2.6391) Prec@1 45.312 (42.960) Prec@5 64.844 (68.154) Epoch: [23][1070/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 2.7575 (2.6397) Prec@1 43.750 (42.964) Prec@5 63.281 (68.146) Epoch: [23][1080/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.5862 (2.6392) Prec@1 37.500 (42.954) Prec@5 72.656 (68.152) Epoch: [23][1090/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 2.3886 (2.6392) Prec@1 39.062 (42.928) Prec@5 71.875 (68.143) Epoch: [23][1100/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 2.3042 (2.6392) Prec@1 53.125 (42.924) Prec@5 75.000 (68.134) Epoch: [23][1110/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 3.1204 (2.6399) Prec@1 37.500 (42.917) Prec@5 55.469 (68.125) Epoch: [23][1120/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.7774 (2.6394) Prec@1 45.312 (42.942) Prec@5 66.406 (68.118) Epoch: [23][1130/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.7292 (2.6395) Prec@1 38.281 (42.944) Prec@5 64.844 (68.117) Epoch: [23][1140/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.8371 (2.6398) Prec@1 38.281 (42.935) Prec@5 60.938 (68.106) Epoch: [23][1150/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 2.4920 (2.6395) Prec@1 47.656 (42.926) Prec@5 70.312 (68.122) Epoch: [23][1160/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 2.3507 (2.6399) Prec@1 48.438 (42.920) Prec@5 72.656 (68.103) Epoch: [23][1170/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 2.8457 (2.6401) Prec@1 41.406 (42.918) Prec@5 69.531 (68.102) Epoch: [23][1180/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 2.4641 (2.6398) Prec@1 45.312 (42.916) Prec@5 71.875 (68.112) Epoch: [23][1190/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.6330 (2.6400) Prec@1 42.969 (42.903) Prec@5 66.406 (68.111) Epoch: [23][1200/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.7209 (2.6399) Prec@1 44.531 (42.909) Prec@5 70.312 (68.107) Epoch: [23][1210/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 2.5381 (2.6396) Prec@1 41.406 (42.903) Prec@5 68.750 (68.113) Epoch: [23][1220/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.7224 (2.6392) Prec@1 39.062 (42.909) Prec@5 66.406 (68.115) Epoch: [23][1230/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.1842 (2.6395) Prec@1 50.781 (42.904) Prec@5 78.125 (68.119) Epoch: [23][1240/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.8294 (2.6385) Prec@1 40.625 (42.920) Prec@5 67.188 (68.133) Epoch: [23][1250/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.9155 (2.6391) Prec@1 39.062 (42.908) Prec@5 62.500 (68.130) Epoch: [23][1260/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.6419 (2.6397) Prec@1 42.188 (42.880) Prec@5 71.094 (68.116) Epoch: [23][1270/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.1847 (2.6393) Prec@1 54.688 (42.889) Prec@5 77.344 (68.123) Epoch: [23][1280/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.4910 (2.6396) Prec@1 42.969 (42.887) Prec@5 71.094 (68.108) Epoch: [23][1290/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 2.7260 (2.6397) Prec@1 42.188 (42.884) Prec@5 65.625 (68.107) Epoch: [23][1300/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.5171 (2.6394) Prec@1 48.438 (42.889) Prec@5 68.750 (68.109) Epoch: [23][1310/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.7401 (2.6393) Prec@1 40.625 (42.885) Prec@5 64.844 (68.106) /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: [23][1320/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.3885 (2.6389) Prec@1 45.312 (42.893) Prec@5 71.875 (68.110) Epoch: [23][1330/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.3698 (2.6395) Prec@1 48.438 (42.875) Prec@5 71.094 (68.090) Epoch: [23][1340/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 2.5071 (2.6393) Prec@1 41.406 (42.860) Prec@5 67.969 (68.084) Epoch: [23][1350/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.4501 (2.6403) Prec@1 46.094 (42.846) Prec@5 72.656 (68.066) Epoch: [23][1360/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.9100 (2.6413) Prec@1 38.281 (42.827) Prec@5 67.969 (68.050) Epoch: [23][1370/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.4616 (2.6413) Prec@1 47.656 (42.847) Prec@5 69.531 (68.049) Epoch: [23][1380/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.6135 (2.6413) Prec@1 35.156 (42.844) Prec@5 71.875 (68.048) Epoch: [23][1390/10010] Time 0.318 (0.333) Data 0.000 (0.002) Loss 2.8656 (2.6417) Prec@1 42.969 (42.838) Prec@5 63.281 (68.038) Epoch: [23][1400/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.5447 (2.6417) Prec@1 50.000 (42.843) Prec@5 72.656 (68.030) Epoch: [23][1410/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 3.0359 (2.6417) Prec@1 39.062 (42.850) Prec@5 64.062 (68.037) Epoch: [23][1420/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.4163 (2.6414) Prec@1 44.531 (42.866) Prec@5 73.438 (68.042) Epoch: [23][1430/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.4215 (2.6410) Prec@1 51.562 (42.874) Prec@5 71.875 (68.048) Epoch: [23][1440/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.9237 (2.6425) Prec@1 37.500 (42.853) Prec@5 61.719 (68.018) Epoch: [23][1450/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.3317 (2.6424) Prec@1 51.562 (42.857) Prec@5 73.438 (68.023) Epoch: [23][1460/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 2.5775 (2.6416) Prec@1 47.656 (42.870) Prec@5 68.750 (68.030) Epoch: [23][1470/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.7450 (2.6412) Prec@1 32.812 (42.866) Prec@5 65.625 (68.037) Epoch: [23][1480/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.3847 (2.6412) Prec@1 39.844 (42.860) Prec@5 76.562 (68.035) Epoch: [23][1490/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.8981 (2.6417) Prec@1 41.406 (42.861) Prec@5 60.938 (68.017) Epoch: [23][1500/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.8979 (2.6418) Prec@1 40.625 (42.858) Prec@5 61.719 (68.018) Epoch: [23][1510/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 2.6691 (2.6412) Prec@1 39.844 (42.868) Prec@5 66.406 (68.030) Epoch: [23][1520/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.6728 (2.6411) Prec@1 42.188 (42.872) Prec@5 66.406 (68.025) Epoch: [23][1530/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.6341 (2.6408) Prec@1 45.312 (42.873) Prec@5 68.750 (68.025) Epoch: [23][1540/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 3.2758 (2.6416) Prec@1 36.719 (42.857) Prec@5 58.594 (68.013) Epoch: [23][1550/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.7551 (2.6418) Prec@1 42.969 (42.865) Prec@5 65.625 (68.009) Epoch: [23][1560/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.5445 (2.6416) Prec@1 39.062 (42.865) Prec@5 68.750 (68.013) Epoch: [23][1570/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.8116 (2.6414) Prec@1 39.844 (42.865) Prec@5 64.844 (68.019) Epoch: [23][1580/10010] Time 0.348 (0.333) Data 0.000 (0.002) Loss 2.8236 (2.6421) Prec@1 39.844 (42.846) Prec@5 66.406 (68.016) Epoch: [23][1590/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 3.0438 (2.6428) Prec@1 37.500 (42.838) Prec@5 59.375 (68.013) Epoch: [23][1600/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.4733 (2.6430) Prec@1 47.656 (42.848) Prec@5 67.969 (68.017) Epoch: [23][1610/10010] Time 0.365 (0.333) Data 0.000 (0.002) Loss 2.6118 (2.6432) Prec@1 42.188 (42.852) Prec@5 68.750 (68.013) Epoch: [23][1620/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.7513 (2.6432) Prec@1 35.938 (42.846) Prec@5 62.500 (68.004) Epoch: [23][1630/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.3695 (2.6432) Prec@1 50.781 (42.841) Prec@5 72.656 (68.007) Epoch: [23][1640/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 2.6424 (2.6440) Prec@1 42.969 (42.831) Prec@5 68.750 (68.002) Epoch: [23][1650/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.7531 (2.6441) Prec@1 42.969 (42.826) Prec@5 67.188 (68.001) Epoch: [23][1660/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.5666 (2.6446) Prec@1 40.625 (42.819) Prec@5 63.281 (67.986) Epoch: [23][1670/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 2.8198 (2.6448) Prec@1 40.625 (42.807) Prec@5 65.625 (67.976) Epoch: [23][1680/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.6975 (2.6451) Prec@1 43.750 (42.799) Prec@5 64.844 (67.971) Epoch: [23][1690/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 2.8595 (2.6459) Prec@1 35.156 (42.791) Prec@5 67.188 (67.962) Epoch: [23][1700/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 2.7304 (2.6456) Prec@1 39.844 (42.804) Prec@5 66.406 (67.958) Epoch: [23][1710/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 2.4789 (2.6457) Prec@1 50.781 (42.816) Prec@5 71.875 (67.964) Epoch: [23][1720/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.3078 (2.6461) Prec@1 47.656 (42.809) Prec@5 74.219 (67.952) Epoch: [23][1730/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.8252 (2.6457) Prec@1 42.188 (42.806) Prec@5 67.969 (67.952) Epoch: [23][1740/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.4935 (2.6458) Prec@1 46.094 (42.802) Prec@5 68.750 (67.959) Epoch: [23][1750/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.9550 (2.6458) Prec@1 46.094 (42.813) Prec@5 63.281 (67.958) Epoch: [23][1760/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.9390 (2.6458) Prec@1 39.062 (42.817) Prec@5 63.281 (67.946) Epoch: [23][1770/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 2.7535 (2.6455) Prec@1 39.062 (42.828) Prec@5 66.406 (67.956) Epoch: [23][1780/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 2.5654 (2.6447) Prec@1 43.750 (42.836) Prec@5 68.750 (67.973) Epoch: [23][1790/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.6944 (2.6450) Prec@1 39.062 (42.831) Prec@5 63.281 (67.966) Epoch: [23][1800/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.7406 (2.6452) Prec@1 39.062 (42.831) Prec@5 67.188 (67.963) Epoch: [23][1810/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.4202 (2.6450) Prec@1 48.438 (42.840) Prec@5 74.219 (67.971) Epoch: [23][1820/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.5449 (2.6450) Prec@1 46.094 (42.841) Prec@5 72.656 (67.978) Epoch: [23][1830/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6881 (2.6446) Prec@1 42.188 (42.840) Prec@5 67.969 (67.992) Epoch: [23][1840/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.4299 (2.6442) Prec@1 48.438 (42.841) Prec@5 70.312 (67.996) Epoch: [23][1850/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6982 (2.6443) Prec@1 42.188 (42.840) Prec@5 66.406 (67.989) Epoch: [23][1860/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.3930 (2.6442) Prec@1 46.875 (42.847) Prec@5 71.094 (67.990) Epoch: [23][1870/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.4775 (2.6441) Prec@1 46.094 (42.846) Prec@5 72.656 (67.997) Epoch: [23][1880/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.5846 (2.6440) Prec@1 46.094 (42.849) Prec@5 71.094 (67.999) Epoch: [23][1890/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.5822 (2.6446) Prec@1 42.969 (42.838) Prec@5 69.531 (67.996) Epoch: [23][1900/10010] Time 0.349 (0.332) Data 0.001 (0.002) Loss 2.6371 (2.6439) Prec@1 45.312 (42.850) Prec@5 66.406 (68.007) Epoch: [23][1910/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.7165 (2.6442) Prec@1 44.531 (42.850) Prec@5 68.750 (68.002) Epoch: [23][1920/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.4933 (2.6440) Prec@1 43.750 (42.862) Prec@5 68.750 (68.005) Epoch: [23][1930/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.4509 (2.6439) Prec@1 43.750 (42.865) Prec@5 71.094 (68.007) Epoch: [23][1940/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.4228 (2.6441) Prec@1 44.531 (42.867) Prec@5 75.000 (68.004) Epoch: [23][1950/10010] Time 0.310 (0.332) Data 0.001 (0.002) Loss 2.7088 (2.6443) Prec@1 42.969 (42.866) Prec@5 66.406 (68.001) Epoch: [23][1960/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.3262 (2.6439) Prec@1 43.750 (42.865) Prec@5 69.531 (68.002) Epoch: [23][1970/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.8774 (2.6445) Prec@1 35.156 (42.849) Prec@5 66.406 (67.994) Epoch: [23][1980/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.6505 (2.6447) Prec@1 39.844 (42.843) Prec@5 67.969 (67.992) Epoch: [23][1990/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 2.8847 (2.6444) Prec@1 39.844 (42.847) Prec@5 56.250 (67.996) Epoch: [23][2000/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7956 (2.6445) Prec@1 43.750 (42.845) Prec@5 66.406 (67.990) Epoch: [23][2010/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.8570 (2.6450) Prec@1 40.625 (42.844) Prec@5 67.188 (67.977) Epoch: [23][2020/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.4607 (2.6451) Prec@1 45.312 (42.843) Prec@5 67.969 (67.972) Epoch: [23][2030/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6562 (2.6448) Prec@1 38.281 (42.841) Prec@5 66.406 (67.980) Epoch: [23][2040/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.3254 (2.6449) Prec@1 51.562 (42.843) Prec@5 71.094 (67.984) Epoch: [23][2050/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.4322 (2.6445) Prec@1 44.531 (42.846) Prec@5 71.875 (67.988) Epoch: [23][2060/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.4749 (2.6447) Prec@1 43.750 (42.836) Prec@5 67.969 (67.985) Epoch: [23][2070/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.6763 (2.6445) Prec@1 42.969 (42.835) Prec@5 63.281 (67.991) Epoch: [23][2080/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 3.0502 (2.6444) Prec@1 42.969 (42.839) Prec@5 56.250 (67.988) Epoch: [23][2090/10010] Time 0.311 (0.332) Data 0.001 (0.002) Loss 2.5773 (2.6445) Prec@1 44.531 (42.841) Prec@5 66.406 (67.984) Epoch: [23][2100/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.6333 (2.6446) Prec@1 37.500 (42.836) Prec@5 67.969 (67.988) Epoch: [23][2110/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5732 (2.6447) Prec@1 43.750 (42.838) Prec@5 70.312 (67.990) Epoch: [23][2120/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7447 (2.6447) Prec@1 39.844 (42.845) Prec@5 64.062 (67.994) Epoch: [23][2130/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.5933 (2.6451) Prec@1 46.875 (42.837) Prec@5 66.406 (67.984) Epoch: [23][2140/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.4823 (2.6452) Prec@1 47.656 (42.830) Prec@5 70.312 (67.974) Epoch: [23][2150/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.4076 (2.6446) Prec@1 47.656 (42.841) Prec@5 74.219 (67.986) Epoch: [23][2160/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.8024 (2.6450) Prec@1 39.844 (42.834) Prec@5 68.750 (67.981) Epoch: [23][2170/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6231 (2.6446) Prec@1 43.750 (42.844) Prec@5 68.750 (67.983) Epoch: [23][2180/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.7377 (2.6451) Prec@1 38.281 (42.840) Prec@5 67.188 (67.978) Epoch: [23][2190/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.6431 (2.6450) Prec@1 48.438 (42.842) Prec@5 66.406 (67.980) Epoch: [23][2200/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.5628 (2.6449) Prec@1 44.531 (42.847) Prec@5 71.875 (67.982) Epoch: [23][2210/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.3920 (2.6452) Prec@1 50.000 (42.843) Prec@5 73.438 (67.983) Epoch: [23][2220/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.7531 (2.6450) Prec@1 46.875 (42.846) Prec@5 67.188 (67.985) Epoch: [23][2230/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.7190 (2.6447) Prec@1 39.844 (42.858) Prec@5 68.750 (67.994) Epoch: [23][2240/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.6257 (2.6446) Prec@1 46.094 (42.863) Prec@5 64.844 (67.992) Epoch: [23][2250/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.8137 (2.6446) Prec@1 39.844 (42.856) Prec@5 64.062 (67.988) Epoch: [23][2260/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.9135 (2.6444) Prec@1 36.719 (42.862) Prec@5 65.625 (67.993) Epoch: [23][2270/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.9836 (2.6445) Prec@1 36.719 (42.856) Prec@5 62.500 (67.992) Epoch: [23][2280/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 3.0077 (2.6446) Prec@1 32.812 (42.854) Prec@5 60.156 (67.989) Epoch: [23][2290/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.7797 (2.6451) Prec@1 42.969 (42.843) Prec@5 64.062 (67.979) Epoch: [23][2300/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.7659 (2.6452) Prec@1 42.188 (42.843) Prec@5 65.625 (67.983) Epoch: [23][2310/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.8383 (2.6451) Prec@1 33.594 (42.846) Prec@5 68.750 (67.984) Epoch: [23][2320/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.6878 (2.6448) Prec@1 36.719 (42.848) Prec@5 64.844 (67.989) Epoch: [23][2330/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5223 (2.6450) Prec@1 47.656 (42.848) Prec@5 72.656 (67.986) Epoch: [23][2340/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5990 (2.6451) Prec@1 43.750 (42.852) Prec@5 70.312 (67.984) Epoch: [23][2350/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.9077 (2.6455) Prec@1 35.156 (42.849) Prec@5 62.500 (67.976) Epoch: [23][2360/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.7336 (2.6458) Prec@1 40.625 (42.841) Prec@5 64.844 (67.973) Epoch: [23][2370/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.4620 (2.6459) Prec@1 42.188 (42.831) Prec@5 72.656 (67.973) Epoch: [23][2380/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 2.9030 (2.6466) Prec@1 37.500 (42.817) Prec@5 64.062 (67.962) Epoch: [23][2390/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.6212 (2.6473) Prec@1 46.875 (42.813) Prec@5 71.875 (67.952) Epoch: [23][2400/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.8075 (2.6477) Prec@1 46.094 (42.817) Prec@5 68.750 (67.951) Epoch: [23][2410/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.5644 (2.6478) Prec@1 43.750 (42.811) Prec@5 72.656 (67.946) Epoch: [23][2420/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6402 (2.6480) Prec@1 42.188 (42.812) Prec@5 64.062 (67.938) Epoch: [23][2430/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6949 (2.6479) Prec@1 44.531 (42.813) Prec@5 64.844 (67.940) Epoch: [23][2440/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6133 (2.6480) Prec@1 44.531 (42.808) Prec@5 71.094 (67.945) Epoch: [23][2450/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.4696 (2.6481) Prec@1 45.312 (42.810) Prec@5 71.094 (67.942) Epoch: [23][2460/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6445 (2.6481) Prec@1 46.094 (42.812) Prec@5 71.875 (67.944) Epoch: [23][2470/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.5098 (2.6477) Prec@1 46.094 (42.818) Prec@5 71.094 (67.949) Epoch: [23][2480/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.2027 (2.6478) Prec@1 53.125 (42.818) Prec@5 78.906 (67.949) Epoch: [23][2490/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.7119 (2.6479) Prec@1 39.844 (42.815) Prec@5 63.281 (67.947) Epoch: [23][2500/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.7080 (2.6480) Prec@1 39.844 (42.818) Prec@5 64.844 (67.948) Epoch: [23][2510/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.3228 (2.6478) Prec@1 50.781 (42.823) Prec@5 70.312 (67.949) Epoch: [23][2520/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.5893 (2.6478) Prec@1 42.188 (42.823) Prec@5 64.844 (67.945) Epoch: [23][2530/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.7033 (2.6473) Prec@1 42.969 (42.829) Prec@5 64.062 (67.951) Epoch: [23][2540/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.4969 (2.6473) Prec@1 48.438 (42.829) Prec@5 69.531 (67.946) Epoch: [23][2550/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.7319 (2.6475) Prec@1 39.062 (42.828) Prec@5 66.406 (67.938) Epoch: [23][2560/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.4862 (2.6475) Prec@1 46.875 (42.827) Prec@5 69.531 (67.936) Epoch: [23][2570/10010] Time 0.313 (0.332) Data 0.001 (0.002) Loss 2.7044 (2.6475) Prec@1 41.406 (42.828) Prec@5 68.750 (67.940) Epoch: [23][2580/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.8007 (2.6477) Prec@1 42.188 (42.824) Prec@5 64.062 (67.940) Epoch: [23][2590/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6025 (2.6479) Prec@1 40.625 (42.817) Prec@5 73.438 (67.935) Epoch: [23][2600/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.7632 (2.6482) Prec@1 47.656 (42.812) Prec@5 65.625 (67.928) Epoch: [23][2610/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.1131 (2.6480) Prec@1 50.000 (42.816) Prec@5 78.906 (67.933) Epoch: [23][2620/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6481 (2.6480) Prec@1 40.625 (42.813) Prec@5 69.531 (67.937) Epoch: [23][2630/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.6753 (2.6477) Prec@1 45.312 (42.818) Prec@5 67.969 (67.941) Epoch: [23][2640/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.0137 (2.6477) Prec@1 36.719 (42.811) Prec@5 66.406 (67.940) Epoch: [23][2650/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.5906 (2.6477) Prec@1 42.188 (42.811) Prec@5 71.094 (67.936) Epoch: [23][2660/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.7236 (2.6475) Prec@1 41.406 (42.817) Prec@5 66.406 (67.942) Epoch: [23][2670/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.4840 (2.6478) Prec@1 44.531 (42.808) Prec@5 70.312 (67.939) Epoch: [23][2680/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.7209 (2.6477) Prec@1 39.844 (42.805) Prec@5 66.406 (67.940) Epoch: [23][2690/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.5354 (2.6477) Prec@1 44.531 (42.805) Prec@5 73.438 (67.939) Epoch: [23][2700/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.3844 (2.6476) Prec@1 49.219 (42.806) Prec@5 74.219 (67.939) Epoch: [23][2710/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.6489 (2.6473) Prec@1 45.312 (42.816) Prec@5 69.531 (67.943) Epoch: [23][2720/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.9301 (2.6473) Prec@1 45.312 (42.817) Prec@5 60.938 (67.944) Epoch: [23][2730/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.5376 (2.6474) Prec@1 42.188 (42.819) Prec@5 69.531 (67.940) Epoch: [23][2740/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.5453 (2.6475) Prec@1 50.781 (42.818) Prec@5 67.969 (67.935) Epoch: [23][2750/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.4897 (2.6476) Prec@1 45.312 (42.813) Prec@5 69.531 (67.930) Epoch: [23][2760/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.5998 (2.6470) Prec@1 42.969 (42.827) Prec@5 68.750 (67.939) Epoch: [23][2770/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.3861 (2.6472) Prec@1 50.000 (42.830) Prec@5 71.875 (67.936) Epoch: [23][2780/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.4334 (2.6475) Prec@1 42.188 (42.823) Prec@5 70.312 (67.934) Epoch: [23][2790/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.7677 (2.6476) Prec@1 39.844 (42.824) Prec@5 62.500 (67.932) Epoch: [23][2800/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.2464 (2.6478) Prec@1 53.125 (42.819) Prec@5 72.656 (67.929) Epoch: [23][2810/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.6791 (2.6477) Prec@1 39.062 (42.815) Prec@5 68.750 (67.933) Epoch: [23][2820/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5208 (2.6476) Prec@1 43.750 (42.815) Prec@5 71.875 (67.931) Epoch: [23][2830/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.4918 (2.6475) Prec@1 43.750 (42.815) Prec@5 67.188 (67.928) Epoch: [23][2840/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.4549 (2.6472) Prec@1 50.781 (42.823) Prec@5 72.656 (67.931) Epoch: [23][2850/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.4701 (2.6469) Prec@1 42.188 (42.828) Prec@5 72.656 (67.938) Epoch: [23][2860/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6106 (2.6470) Prec@1 45.312 (42.826) Prec@5 71.875 (67.938) Epoch: [23][2870/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.8360 (2.6469) Prec@1 35.156 (42.825) Prec@5 62.500 (67.937) Epoch: [23][2880/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.8951 (2.6472) Prec@1 37.500 (42.823) Prec@5 64.844 (67.932) Epoch: [23][2890/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.4806 (2.6472) Prec@1 47.656 (42.821) Prec@5 67.969 (67.929) Epoch: [23][2900/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.7283 (2.6475) Prec@1 40.625 (42.817) Prec@5 66.406 (67.921) Epoch: [23][2910/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.1500 (2.6477) Prec@1 34.375 (42.817) Prec@5 63.281 (67.920) Epoch: [23][2920/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 3.1810 (2.6484) Prec@1 35.938 (42.804) Prec@5 63.281 (67.913) Epoch: [23][2930/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.5733 (2.6482) Prec@1 42.188 (42.807) Prec@5 74.219 (67.919) Epoch: [23][2940/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.4646 (2.6480) Prec@1 44.531 (42.810) Prec@5 71.094 (67.920) Epoch: [23][2950/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7380 (2.6480) Prec@1 39.062 (42.816) Prec@5 67.969 (67.923) Epoch: [23][2960/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4254 (2.6478) Prec@1 46.875 (42.818) Prec@5 70.312 (67.922) Epoch: [23][2970/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6653 (2.6477) Prec@1 42.969 (42.816) Prec@5 67.969 (67.921) Epoch: [23][2980/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.7873 (2.6478) Prec@1 40.625 (42.815) Prec@5 69.531 (67.919) Epoch: [23][2990/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.6972 (2.6478) Prec@1 46.875 (42.815) Prec@5 67.188 (67.919) Epoch: [23][3000/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.4328 (2.6478) Prec@1 44.531 (42.807) Prec@5 71.094 (67.921) Epoch: [23][3010/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5818 (2.6478) Prec@1 39.844 (42.812) Prec@5 69.531 (67.924) Epoch: [23][3020/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.4473 (2.6482) Prec@1 42.969 (42.802) Prec@5 70.312 (67.915) Epoch: [23][3030/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.7738 (2.6482) Prec@1 41.406 (42.803) Prec@5 65.625 (67.919) Epoch: [23][3040/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6102 (2.6482) Prec@1 42.188 (42.803) Prec@5 68.750 (67.920) Epoch: [23][3050/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 3.0043 (2.6485) Prec@1 42.969 (42.800) Prec@5 60.156 (67.913) Epoch: [23][3060/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.4497 (2.6485) Prec@1 42.188 (42.801) Prec@5 71.094 (67.911) Epoch: [23][3070/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8383 (2.6486) Prec@1 39.844 (42.803) Prec@5 67.969 (67.912) Epoch: [23][3080/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.3775 (2.6485) Prec@1 45.312 (42.810) Prec@5 71.094 (67.914) Epoch: [23][3090/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7166 (2.6485) Prec@1 46.875 (42.813) Prec@5 67.188 (67.916) Epoch: [23][3100/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 3.0255 (2.6480) Prec@1 36.719 (42.823) Prec@5 58.594 (67.922) Epoch: [23][3110/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.2450 (2.6478) Prec@1 52.344 (42.830) Prec@5 75.000 (67.927) Epoch: [23][3120/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5971 (2.6478) Prec@1 42.188 (42.826) Prec@5 65.625 (67.929) Epoch: [23][3130/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.8257 (2.6475) Prec@1 37.500 (42.829) Prec@5 64.844 (67.933) Epoch: [23][3140/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7321 (2.6474) Prec@1 42.188 (42.829) Prec@5 69.531 (67.941) Epoch: [23][3150/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5591 (2.6471) Prec@1 43.750 (42.836) Prec@5 67.188 (67.947) Epoch: [23][3160/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5079 (2.6470) Prec@1 50.000 (42.840) Prec@5 68.750 (67.946) Epoch: [23][3170/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7525 (2.6473) Prec@1 39.844 (42.837) Prec@5 64.844 (67.941) Epoch: [23][3180/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.5667 (2.6476) Prec@1 50.781 (42.835) Prec@5 68.750 (67.932) Epoch: [23][3190/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.2089 (2.6474) Prec@1 53.125 (42.842) Prec@5 75.781 (67.937) Epoch: [23][3200/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.7626 (2.6475) Prec@1 39.062 (42.837) Prec@5 70.312 (67.936) Epoch: [23][3210/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.0133 (2.6473) Prec@1 35.156 (42.840) Prec@5 60.156 (67.936) Epoch: [23][3220/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.5743 (2.6476) Prec@1 42.969 (42.834) Prec@5 71.875 (67.930) Epoch: [23][3230/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.7500 (2.6477) Prec@1 33.594 (42.833) Prec@5 63.281 (67.926) Epoch: [23][3240/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6176 (2.6479) Prec@1 42.188 (42.826) Prec@5 69.531 (67.925) Epoch: [23][3250/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 3.1292 (2.6483) Prec@1 38.281 (42.820) Prec@5 60.938 (67.919) Epoch: [23][3260/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.8689 (2.6486) Prec@1 37.500 (42.812) Prec@5 62.500 (67.919) Epoch: [23][3270/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7433 (2.6488) Prec@1 44.531 (42.807) Prec@5 68.750 (67.918) Epoch: [23][3280/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6357 (2.6485) Prec@1 41.406 (42.809) Prec@5 66.406 (67.919) Epoch: [23][3290/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6156 (2.6485) Prec@1 40.625 (42.805) Prec@5 64.844 (67.914) Epoch: [23][3300/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 3.0478 (2.6488) Prec@1 34.375 (42.802) Prec@5 62.500 (67.913) Epoch: [23][3310/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.6418 (2.6488) Prec@1 41.406 (42.807) Prec@5 71.094 (67.913) Epoch: [23][3320/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.6375 (2.6486) Prec@1 39.062 (42.805) Prec@5 71.094 (67.916) Epoch: [23][3330/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8855 (2.6487) Prec@1 36.719 (42.799) Prec@5 60.938 (67.911) Epoch: [23][3340/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 3.0536 (2.6488) Prec@1 39.844 (42.796) Prec@5 66.406 (67.911) Epoch: [23][3350/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.7539 (2.6482) Prec@1 37.500 (42.800) Prec@5 60.938 (67.918) Epoch: [23][3360/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4128 (2.6481) Prec@1 41.406 (42.805) Prec@5 67.969 (67.920) Epoch: [23][3370/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.9291 (2.6482) Prec@1 35.938 (42.805) Prec@5 63.281 (67.918) Epoch: [23][3380/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.3979 (2.6480) Prec@1 42.188 (42.808) Prec@5 71.875 (67.923) Epoch: [23][3390/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.2342 (2.6478) Prec@1 47.656 (42.812) Prec@5 71.875 (67.926) Epoch: [23][3400/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5394 (2.6477) Prec@1 42.969 (42.812) Prec@5 67.188 (67.929) Epoch: [23][3410/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.3458 (2.6475) Prec@1 49.219 (42.811) Prec@5 72.656 (67.933) Epoch: [23][3420/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 3.1206 (2.6475) Prec@1 39.062 (42.809) Prec@5 58.594 (67.931) Epoch: [23][3430/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.6053 (2.6474) Prec@1 42.188 (42.811) Prec@5 67.188 (67.929) Epoch: [23][3440/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.7127 (2.6471) Prec@1 43.750 (42.816) Prec@5 69.531 (67.938) Epoch: [23][3450/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 3.0889 (2.6473) Prec@1 37.500 (42.812) Prec@5 62.500 (67.933) Epoch: [23][3460/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.8032 (2.6474) Prec@1 42.969 (42.814) Prec@5 63.281 (67.930) Epoch: [23][3470/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.5647 (2.6476) Prec@1 49.219 (42.813) Prec@5 70.312 (67.927) Epoch: [23][3480/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.8423 (2.6476) Prec@1 39.062 (42.812) Prec@5 60.938 (67.925) Epoch: [23][3490/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.6597 (2.6479) Prec@1 48.438 (42.805) Prec@5 68.750 (67.923) Epoch: [23][3500/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7991 (2.6484) Prec@1 45.312 (42.796) Prec@5 69.531 (67.915) Epoch: [23][3510/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.6235 (2.6485) Prec@1 42.188 (42.792) Prec@5 63.281 (67.909) Epoch: [23][3520/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6596 (2.6483) Prec@1 44.531 (42.798) Prec@5 71.875 (67.914) Epoch: [23][3530/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6514 (2.6485) Prec@1 44.531 (42.795) Prec@5 69.531 (67.912) Epoch: [23][3540/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.7809 (2.6489) Prec@1 39.062 (42.788) Prec@5 64.062 (67.901) Epoch: [23][3550/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8254 (2.6492) Prec@1 40.625 (42.784) Prec@5 59.375 (67.897) Epoch: [23][3560/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.7066 (2.6493) Prec@1 40.625 (42.779) Prec@5 67.188 (67.895) Epoch: [23][3570/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8698 (2.6496) Prec@1 39.844 (42.774) Prec@5 67.969 (67.890) Epoch: [23][3580/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.6183 (2.6496) Prec@1 40.625 (42.774) Prec@5 68.750 (67.891) Epoch: [23][3590/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7327 (2.6497) Prec@1 43.750 (42.773) Prec@5 67.969 (67.888) Epoch: [23][3600/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.1666 (2.6498) Prec@1 50.000 (42.769) Prec@5 77.344 (67.888) Epoch: [23][3610/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.5966 (2.6500) Prec@1 45.312 (42.765) Prec@5 68.750 (67.884) Epoch: [23][3620/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6179 (2.6499) Prec@1 37.500 (42.767) Prec@5 71.094 (67.887) Epoch: [23][3630/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5345 (2.6501) Prec@1 47.656 (42.766) Prec@5 71.875 (67.885) Epoch: [23][3640/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8005 (2.6504) Prec@1 41.406 (42.762) Prec@5 63.281 (67.882) Epoch: [23][3650/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.6063 (2.6505) Prec@1 45.312 (42.763) Prec@5 68.750 (67.880) Epoch: [23][3660/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.7868 (2.6502) Prec@1 42.969 (42.768) Prec@5 68.750 (67.884) Epoch: [23][3670/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4834 (2.6501) Prec@1 46.875 (42.771) Prec@5 69.531 (67.885) Epoch: [23][3680/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.5944 (2.6502) Prec@1 46.875 (42.771) Prec@5 67.969 (67.885) Epoch: [23][3690/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8067 (2.6503) Prec@1 36.719 (42.768) Prec@5 64.062 (67.884) Epoch: [23][3700/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.5853 (2.6502) Prec@1 42.969 (42.770) Prec@5 69.531 (67.886) Epoch: [23][3710/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.6842 (2.6502) Prec@1 46.094 (42.776) Prec@5 70.312 (67.889) Epoch: [23][3720/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7805 (2.6503) Prec@1 39.062 (42.772) Prec@5 68.750 (67.885) Epoch: [23][3730/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.8114 (2.6504) Prec@1 42.969 (42.774) Prec@5 63.281 (67.884) Epoch: [23][3740/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 2.3332 (2.6503) Prec@1 49.219 (42.774) Prec@5 75.000 (67.889) Epoch: [23][3750/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.6070 (2.6502) Prec@1 43.750 (42.773) Prec@5 67.969 (67.892) Epoch: [23][3760/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.6084 (2.6506) Prec@1 42.188 (42.768) Prec@5 69.531 (67.889) Epoch: [23][3770/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.4621 (2.6505) Prec@1 46.094 (42.769) Prec@5 71.094 (67.890) Epoch: [23][3780/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8312 (2.6508) Prec@1 38.281 (42.765) Prec@5 67.969 (67.883) Epoch: [23][3790/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 3.1104 (2.6508) Prec@1 37.500 (42.769) Prec@5 63.281 (67.882) Epoch: [23][3800/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6947 (2.6509) Prec@1 41.406 (42.766) Prec@5 64.844 (67.883) Epoch: [23][3810/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.4290 (2.6510) Prec@1 43.750 (42.764) Prec@5 68.750 (67.880) Epoch: [23][3820/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4075 (2.6510) Prec@1 47.656 (42.763) Prec@5 70.312 (67.878) Epoch: [23][3830/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.6479 (2.6515) Prec@1 42.188 (42.759) Prec@5 66.406 (67.873) Epoch: [23][3840/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.6329 (2.6516) Prec@1 42.969 (42.760) Prec@5 71.094 (67.872) /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: [23][3850/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.6525 (2.6516) Prec@1 46.094 (42.759) Prec@5 68.750 (67.873) Epoch: [23][3860/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.5901 (2.6516) Prec@1 45.312 (42.760) Prec@5 67.969 (67.872) Epoch: [23][3870/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.7924 (2.6520) Prec@1 39.062 (42.755) Prec@5 66.406 (67.865) Epoch: [23][3880/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5486 (2.6520) Prec@1 48.438 (42.754) Prec@5 71.875 (67.867) Epoch: [23][3890/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.8454 (2.6521) Prec@1 39.844 (42.751) Prec@5 67.188 (67.864) Epoch: [23][3900/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.5496 (2.6523) Prec@1 41.406 (42.750) Prec@5 71.094 (67.860) Epoch: [23][3910/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4882 (2.6521) Prec@1 45.312 (42.756) Prec@5 72.656 (67.862) Epoch: [23][3920/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9653 (2.6524) Prec@1 35.938 (42.749) Prec@5 62.500 (67.860) Epoch: [23][3930/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7703 (2.6525) Prec@1 42.969 (42.746) Prec@5 65.625 (67.859) Epoch: [23][3940/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5745 (2.6523) Prec@1 44.531 (42.752) Prec@5 71.875 (67.861) Epoch: [23][3950/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6419 (2.6525) Prec@1 44.531 (42.750) Prec@5 70.312 (67.856) Epoch: [23][3960/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.9379 (2.6527) Prec@1 46.094 (42.749) Prec@5 62.500 (67.848) Epoch: [23][3970/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5663 (2.6525) Prec@1 42.188 (42.755) Prec@5 71.875 (67.852) Epoch: [23][3980/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.8602 (2.6528) Prec@1 35.938 (42.753) Prec@5 60.938 (67.846) Epoch: [23][3990/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 3.0467 (2.6528) Prec@1 35.156 (42.754) Prec@5 61.719 (67.847) Epoch: [23][4000/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.9120 (2.6530) Prec@1 36.719 (42.748) Prec@5 66.406 (67.844) Epoch: [23][4010/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.6653 (2.6531) Prec@1 39.844 (42.745) Prec@5 63.281 (67.841) Epoch: [23][4020/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.9664 (2.6535) Prec@1 35.938 (42.732) Prec@5 66.406 (67.834) Epoch: [23][4030/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8980 (2.6536) Prec@1 40.625 (42.729) Prec@5 65.625 (67.831) Epoch: [23][4040/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4938 (2.6535) Prec@1 45.312 (42.732) Prec@5 67.969 (67.831) Epoch: [23][4050/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.5824 (2.6532) Prec@1 39.844 (42.734) Prec@5 69.531 (67.838) Epoch: [23][4060/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.6557 (2.6535) Prec@1 48.438 (42.732) Prec@5 68.750 (67.837) Epoch: [23][4070/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0540 (2.6537) Prec@1 38.281 (42.731) Prec@5 60.938 (67.833) Epoch: [23][4080/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.6789 (2.6540) Prec@1 46.875 (42.732) Prec@5 67.969 (67.830) Epoch: [23][4090/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7629 (2.6541) Prec@1 39.844 (42.729) Prec@5 67.969 (67.828) Epoch: [23][4100/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.8045 (2.6542) Prec@1 45.312 (42.731) Prec@5 65.625 (67.829) Epoch: [23][4110/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7880 (2.6542) Prec@1 45.312 (42.733) Prec@5 64.844 (67.829) Epoch: [23][4120/10010] Time 0.353 (0.332) Data 0.000 (0.001) Loss 2.8539 (2.6543) Prec@1 42.188 (42.729) Prec@5 64.062 (67.826) Epoch: [23][4130/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5742 (2.6544) Prec@1 44.531 (42.722) Prec@5 69.531 (67.824) Epoch: [23][4140/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.4274 (2.6543) Prec@1 53.125 (42.722) Prec@5 74.219 (67.823) Epoch: [23][4150/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.7041 (2.6544) Prec@1 37.500 (42.725) Prec@5 67.969 (67.823) Epoch: [23][4160/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.9003 (2.6543) Prec@1 35.156 (42.726) Prec@5 64.844 (67.825) Epoch: [23][4170/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.7213 (2.6542) Prec@1 47.656 (42.731) Prec@5 69.531 (67.828) Epoch: [23][4180/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.7125 (2.6542) Prec@1 46.875 (42.733) Prec@5 65.625 (67.832) Epoch: [23][4190/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.6501 (2.6543) Prec@1 38.281 (42.729) Prec@5 64.062 (67.829) Epoch: [23][4200/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9057 (2.6543) Prec@1 39.062 (42.731) Prec@5 61.719 (67.827) Epoch: [23][4210/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.7449 (2.6543) Prec@1 40.625 (42.730) Prec@5 66.406 (67.825) Epoch: [23][4220/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5813 (2.6542) Prec@1 40.625 (42.735) Prec@5 72.656 (67.827) Epoch: [23][4230/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4383 (2.6542) Prec@1 44.531 (42.735) Prec@5 67.969 (67.827) Epoch: [23][4240/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.3820 (2.6542) Prec@1 51.562 (42.737) Prec@5 71.875 (67.828) Epoch: [23][4250/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.8128 (2.6545) Prec@1 39.062 (42.732) Prec@5 63.281 (67.822) Epoch: [23][4260/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6126 (2.6549) Prec@1 45.312 (42.727) Prec@5 67.188 (67.813) Epoch: [23][4270/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.4459 (2.6549) Prec@1 42.969 (42.724) Prec@5 70.312 (67.812) Epoch: [23][4280/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.5995 (2.6550) Prec@1 36.719 (42.721) Prec@5 71.875 (67.809) /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: [23][4290/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.6831 (2.6548) Prec@1 42.969 (42.724) Prec@5 69.531 (67.814) Epoch: [23][4300/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4272 (2.6546) Prec@1 45.312 (42.729) Prec@5 71.094 (67.820) Epoch: [23][4310/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.5994 (2.6547) Prec@1 42.969 (42.729) Prec@5 66.406 (67.818) Epoch: [23][4320/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.7120 (2.6547) Prec@1 41.406 (42.728) Prec@5 69.531 (67.819) Epoch: [23][4330/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 3.3618 (2.6550) Prec@1 33.594 (42.722) Prec@5 57.812 (67.810) Epoch: [23][4340/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.5542 (2.6551) Prec@1 48.438 (42.721) Prec@5 72.656 (67.811) Epoch: [23][4350/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.5995 (2.6553) Prec@1 43.750 (42.716) Prec@5 67.969 (67.809) Epoch: [23][4360/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6309 (2.6553) Prec@1 40.625 (42.717) Prec@5 67.188 (67.810) Epoch: [23][4370/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4971 (2.6553) Prec@1 42.969 (42.715) Prec@5 71.875 (67.806) Epoch: [23][4380/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.3872 (2.6552) Prec@1 45.312 (42.717) Prec@5 69.531 (67.804) Epoch: [23][4390/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.5844 (2.6553) Prec@1 45.312 (42.717) Prec@5 67.969 (67.803) Epoch: [23][4400/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6918 (2.6551) Prec@1 42.969 (42.724) Prec@5 67.188 (67.807) Epoch: [23][4410/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8829 (2.6552) Prec@1 36.719 (42.716) Prec@5 62.500 (67.806) Epoch: [23][4420/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 3.0950 (2.6550) Prec@1 42.188 (42.722) Prec@5 62.500 (67.808) Epoch: [23][4430/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.4197 (2.6549) Prec@1 46.875 (42.722) Prec@5 70.312 (67.810) Epoch: [23][4440/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.8459 (2.6548) Prec@1 42.188 (42.721) Prec@5 66.406 (67.812) Epoch: [23][4450/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.9179 (2.6550) Prec@1 40.625 (42.719) Prec@5 67.969 (67.810) Epoch: [23][4460/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.6795 (2.6547) Prec@1 42.188 (42.722) Prec@5 66.406 (67.816) Epoch: [23][4470/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.8434 (2.6548) Prec@1 38.281 (42.721) Prec@5 64.844 (67.812) Epoch: [23][4480/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 3.0894 (2.6547) Prec@1 34.375 (42.721) Prec@5 60.156 (67.812) Epoch: [23][4490/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6157 (2.6547) Prec@1 49.219 (42.722) Prec@5 69.531 (67.812) Epoch: [23][4500/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.6385 (2.6547) Prec@1 35.156 (42.722) Prec@5 69.531 (67.811) Epoch: [23][4510/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.1881 (2.6545) Prec@1 49.219 (42.722) Prec@5 78.125 (67.817) Epoch: [23][4520/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.5041 (2.6544) Prec@1 46.094 (42.721) Prec@5 70.312 (67.815) Epoch: [23][4530/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 3.0192 (2.6546) Prec@1 34.375 (42.719) Prec@5 60.156 (67.809) Epoch: [23][4540/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7438 (2.6547) Prec@1 39.844 (42.714) Prec@5 70.312 (67.807) Epoch: [23][4550/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.6237 (2.6549) Prec@1 40.625 (42.708) Prec@5 71.875 (67.806) Epoch: [23][4560/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6233 (2.6548) Prec@1 42.188 (42.713) Prec@5 71.094 (67.809) Epoch: [23][4570/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.4809 (2.6549) Prec@1 50.000 (42.714) Prec@5 67.969 (67.805) Epoch: [23][4580/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.4278 (2.6547) Prec@1 39.062 (42.714) Prec@5 73.438 (67.809) Epoch: [23][4590/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6823 (2.6547) Prec@1 47.656 (42.714) Prec@5 62.500 (67.806) Epoch: [23][4600/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4884 (2.6548) Prec@1 40.625 (42.708) Prec@5 69.531 (67.802) Epoch: [23][4610/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.3855 (2.6546) Prec@1 46.875 (42.712) Prec@5 75.000 (67.805) Epoch: [23][4620/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8635 (2.6546) Prec@1 42.188 (42.712) Prec@5 64.062 (67.805) Epoch: [23][4630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3321 (2.6546) Prec@1 50.781 (42.716) Prec@5 75.781 (67.803) Epoch: [23][4640/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5026 (2.6548) Prec@1 42.969 (42.714) Prec@5 65.625 (67.801) Epoch: [23][4650/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8558 (2.6546) Prec@1 44.531 (42.717) Prec@5 64.844 (67.805) Epoch: [23][4660/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9146 (2.6546) Prec@1 40.625 (42.716) Prec@5 64.062 (67.805) Epoch: [23][4670/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.3462 (2.6547) Prec@1 42.969 (42.714) Prec@5 73.438 (67.804) Epoch: [23][4680/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5936 (2.6549) Prec@1 44.531 (42.711) Prec@5 71.875 (67.802) Epoch: [23][4690/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 3.0979 (2.6549) Prec@1 40.625 (42.712) Prec@5 57.031 (67.805) Epoch: [23][4700/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8765 (2.6549) Prec@1 35.938 (42.710) Prec@5 62.500 (67.805) Epoch: [23][4710/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6650 (2.6549) Prec@1 44.531 (42.710) Prec@5 73.438 (67.806) Epoch: [23][4720/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7099 (2.6552) Prec@1 42.188 (42.707) Prec@5 68.750 (67.802) Epoch: [23][4730/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6668 (2.6552) Prec@1 42.969 (42.705) Prec@5 67.969 (67.802) Epoch: [23][4740/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7105 (2.6553) Prec@1 39.844 (42.703) Prec@5 71.875 (67.801) Epoch: [23][4750/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5180 (2.6554) Prec@1 42.188 (42.700) Prec@5 71.094 (67.801) Epoch: [23][4760/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6578 (2.6553) Prec@1 40.625 (42.700) Prec@5 68.750 (67.801) Epoch: [23][4770/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5601 (2.6553) Prec@1 47.656 (42.703) Prec@5 69.531 (67.802) Epoch: [23][4780/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6108 (2.6553) Prec@1 36.719 (42.700) Prec@5 67.188 (67.802) Epoch: [23][4790/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4761 (2.6552) Prec@1 46.875 (42.702) Prec@5 68.750 (67.801) Epoch: [23][4800/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5008 (2.6552) Prec@1 44.531 (42.701) Prec@5 69.531 (67.802) Epoch: [23][4810/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8629 (2.6553) Prec@1 38.281 (42.705) Prec@5 68.750 (67.801) Epoch: [23][4820/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.8752 (2.6554) Prec@1 37.500 (42.707) Prec@5 63.281 (67.802) Epoch: [23][4830/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9969 (2.6555) Prec@1 37.500 (42.707) Prec@5 64.844 (67.797) Epoch: [23][4840/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7406 (2.6557) Prec@1 42.969 (42.706) Prec@5 64.844 (67.795) Epoch: [23][4850/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9031 (2.6558) Prec@1 39.062 (42.702) Prec@5 63.281 (67.792) Epoch: [23][4860/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4093 (2.6556) Prec@1 44.531 (42.704) Prec@5 75.781 (67.793) Epoch: [23][4870/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8237 (2.6556) Prec@1 47.656 (42.704) Prec@5 68.750 (67.794) Epoch: [23][4880/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.0099 (2.6556) Prec@1 35.156 (42.702) Prec@5 63.281 (67.791) Epoch: [23][4890/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9574 (2.6557) Prec@1 39.062 (42.703) Prec@5 63.281 (67.791) Epoch: [23][4900/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7538 (2.6558) Prec@1 39.844 (42.699) Prec@5 71.094 (67.791) Epoch: [23][4910/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3855 (2.6557) Prec@1 49.219 (42.699) Prec@5 71.094 (67.796) Epoch: [23][4920/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6201 (2.6555) Prec@1 40.625 (42.703) Prec@5 66.406 (67.799) Epoch: [23][4930/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7360 (2.6554) Prec@1 39.844 (42.706) Prec@5 70.312 (67.802) Epoch: [23][4940/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5392 (2.6552) Prec@1 39.844 (42.708) Prec@5 71.875 (67.805) Epoch: [23][4950/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9206 (2.6553) Prec@1 41.406 (42.708) Prec@5 68.750 (67.808) Epoch: [23][4960/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5854 (2.6553) Prec@1 44.531 (42.704) Prec@5 65.625 (67.807) Epoch: [23][4970/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4313 (2.6553) Prec@1 46.875 (42.703) Prec@5 69.531 (67.808) Epoch: [23][4980/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4388 (2.6555) Prec@1 45.312 (42.702) Prec@5 74.219 (67.806) Epoch: [23][4990/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8199 (2.6556) Prec@1 39.062 (42.700) Prec@5 66.406 (67.802) Epoch: [23][5000/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6547 (2.6554) Prec@1 44.531 (42.704) Prec@5 70.312 (67.804) Epoch: [23][5010/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8211 (2.6555) Prec@1 42.188 (42.702) Prec@5 64.062 (67.801) Epoch: [23][5020/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6550 (2.6555) Prec@1 46.875 (42.699) Prec@5 64.062 (67.801) Epoch: [23][5030/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.3653 (2.6555) Prec@1 43.750 (42.699) Prec@5 74.219 (67.801) Epoch: [23][5040/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9988 (2.6555) Prec@1 38.281 (42.697) Prec@5 63.281 (67.803) Epoch: [23][5050/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.4786 (2.6556) Prec@1 46.094 (42.696) Prec@5 69.531 (67.800) Epoch: [23][5060/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5464 (2.6556) Prec@1 45.312 (42.694) Prec@5 70.312 (67.799) Epoch: [23][5070/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6977 (2.6555) Prec@1 41.406 (42.695) Prec@5 70.312 (67.802) Epoch: [23][5080/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.9065 (2.6556) Prec@1 33.594 (42.690) Prec@5 63.281 (67.801) /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: [23][5090/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8058 (2.6557) Prec@1 35.938 (42.686) Prec@5 66.406 (67.798) Epoch: [23][5100/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5143 (2.6557) Prec@1 48.438 (42.686) Prec@5 70.312 (67.797) Epoch: [23][5110/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7929 (2.6556) Prec@1 38.281 (42.689) Prec@5 61.719 (67.798) Epoch: [23][5120/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7649 (2.6556) Prec@1 39.062 (42.687) Prec@5 64.062 (67.798) Epoch: [23][5130/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0107 (2.6558) Prec@1 37.500 (42.687) Prec@5 65.625 (67.799) Epoch: [23][5140/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6027 (2.6558) Prec@1 45.312 (42.684) Prec@5 67.188 (67.799) Epoch: [23][5150/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8869 (2.6561) Prec@1 35.156 (42.678) Prec@5 65.625 (67.795) Epoch: [23][5160/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3433 (2.6562) Prec@1 49.219 (42.678) Prec@5 73.438 (67.792) Epoch: [23][5170/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.7023 (2.6566) Prec@1 45.312 (42.674) Prec@5 67.969 (67.786) Epoch: [23][5180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2393 (2.6564) Prec@1 42.188 (42.673) Prec@5 78.906 (67.790) Epoch: [23][5190/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8057 (2.6565) Prec@1 46.094 (42.676) Prec@5 61.719 (67.788) Epoch: [23][5200/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7914 (2.6567) Prec@1 38.281 (42.671) Prec@5 67.969 (67.783) Epoch: [23][5210/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8659 (2.6566) Prec@1 37.500 (42.670) Prec@5 60.156 (67.781) Epoch: [23][5220/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7177 (2.6568) Prec@1 42.969 (42.669) Prec@5 66.406 (67.780) Epoch: [23][5230/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.1259 (2.6570) Prec@1 39.062 (42.665) Prec@5 65.625 (67.776) Epoch: [23][5240/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.5074 (2.6570) Prec@1 42.969 (42.667) Prec@5 71.094 (67.776) Epoch: [23][5250/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8686 (2.6569) Prec@1 34.375 (42.668) Prec@5 63.281 (67.780) Epoch: [23][5260/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6563 (2.6567) Prec@1 42.188 (42.670) Prec@5 67.969 (67.781) Epoch: [23][5270/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.2924 (2.6569) Prec@1 50.781 (42.668) Prec@5 78.906 (67.780) Epoch: [23][5280/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8911 (2.6569) Prec@1 37.500 (42.666) Prec@5 62.500 (67.777) Epoch: [23][5290/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8847 (2.6569) Prec@1 38.281 (42.668) Prec@5 64.062 (67.777) Epoch: [23][5300/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4907 (2.6571) Prec@1 47.656 (42.667) Prec@5 72.656 (67.775) Epoch: [23][5310/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5135 (2.6571) Prec@1 42.188 (42.667) Prec@5 68.750 (67.772) Epoch: [23][5320/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4256 (2.6573) Prec@1 46.094 (42.666) Prec@5 66.406 (67.771) Epoch: [23][5330/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8672 (2.6573) Prec@1 40.625 (42.665) Prec@5 61.719 (67.767) Epoch: [23][5340/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7443 (2.6573) Prec@1 48.438 (42.665) Prec@5 66.406 (67.769) Epoch: [23][5350/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.9103 (2.6574) Prec@1 42.188 (42.664) Prec@5 65.625 (67.766) Epoch: [23][5360/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9069 (2.6576) Prec@1 38.281 (42.662) Prec@5 64.062 (67.766) Epoch: [23][5370/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4026 (2.6577) Prec@1 47.656 (42.660) Prec@5 71.875 (67.767) Epoch: [23][5380/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6929 (2.6578) Prec@1 41.406 (42.659) Prec@5 68.750 (67.763) Epoch: [23][5390/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8638 (2.6580) Prec@1 40.625 (42.656) Prec@5 65.625 (67.760) Epoch: [23][5400/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5372 (2.6580) Prec@1 45.312 (42.655) Prec@5 71.875 (67.761) Epoch: [23][5410/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4126 (2.6579) Prec@1 40.625 (42.656) Prec@5 68.750 (67.762) Epoch: [23][5420/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9369 (2.6580) Prec@1 36.719 (42.654) Prec@5 65.625 (67.760) Epoch: [23][5430/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8998 (2.6581) Prec@1 38.281 (42.653) Prec@5 60.938 (67.754) Epoch: [23][5440/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9519 (2.6584) Prec@1 40.625 (42.650) Prec@5 62.500 (67.753) Epoch: [23][5450/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9077 (2.6585) Prec@1 39.844 (42.648) Prec@5 62.500 (67.750) Epoch: [23][5460/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7112 (2.6585) Prec@1 39.844 (42.648) Prec@5 67.969 (67.752) Epoch: [23][5470/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8200 (2.6587) Prec@1 37.500 (42.647) Prec@5 63.281 (67.752) Epoch: [23][5480/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.3621 (2.6587) Prec@1 48.438 (42.647) Prec@5 75.781 (67.751) Epoch: [23][5490/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.9827 (2.6587) Prec@1 36.719 (42.648) Prec@5 57.812 (67.751) Epoch: [23][5500/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6041 (2.6588) Prec@1 44.531 (42.645) Prec@5 71.875 (67.751) Epoch: [23][5510/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6471 (2.6586) Prec@1 40.625 (42.646) Prec@5 71.094 (67.754) Epoch: [23][5520/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4165 (2.6587) Prec@1 46.094 (42.650) Prec@5 69.531 (67.753) Epoch: [23][5530/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7174 (2.6587) Prec@1 42.188 (42.650) Prec@5 66.406 (67.751) Epoch: [23][5540/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4576 (2.6589) Prec@1 45.312 (42.648) Prec@5 75.000 (67.745) Epoch: [23][5550/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.8164 (2.6588) Prec@1 37.500 (42.648) Prec@5 62.500 (67.747) Epoch: [23][5560/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6657 (2.6587) Prec@1 42.969 (42.646) Prec@5 68.750 (67.748) Epoch: [23][5570/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5083 (2.6588) Prec@1 43.750 (42.643) Prec@5 71.875 (67.747) Epoch: [23][5580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9780 (2.6589) Prec@1 41.406 (42.646) Prec@5 62.500 (67.748) Epoch: [23][5590/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.3626 (2.6589) Prec@1 46.875 (42.647) Prec@5 74.219 (67.747) Epoch: [23][5600/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7556 (2.6589) Prec@1 49.219 (42.648) Prec@5 64.062 (67.744) Epoch: [23][5610/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8039 (2.6587) Prec@1 40.625 (42.650) Prec@5 63.281 (67.746) Epoch: [23][5620/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8008 (2.6587) Prec@1 42.188 (42.649) Prec@5 64.844 (67.747) Epoch: [23][5630/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7281 (2.6590) Prec@1 41.406 (42.644) Prec@5 65.625 (67.739) Epoch: [23][5640/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9447 (2.6592) Prec@1 36.719 (42.643) Prec@5 60.938 (67.734) Epoch: [23][5650/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7543 (2.6594) Prec@1 40.625 (42.640) Prec@5 64.844 (67.732) Epoch: [23][5660/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.2349 (2.6594) Prec@1 51.562 (42.639) Prec@5 77.344 (67.733) Epoch: [23][5670/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8001 (2.6594) Prec@1 39.062 (42.639) Prec@5 62.500 (67.729) Epoch: [23][5680/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7531 (2.6597) Prec@1 35.938 (42.633) Prec@5 67.188 (67.723) Epoch: [23][5690/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9238 (2.6596) Prec@1 42.969 (42.635) Prec@5 58.594 (67.723) Epoch: [23][5700/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9084 (2.6598) Prec@1 40.625 (42.630) Prec@5 61.719 (67.721) Epoch: [23][5710/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0876 (2.6599) Prec@1 39.844 (42.629) Prec@5 60.156 (67.719) Epoch: [23][5720/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8679 (2.6602) Prec@1 37.500 (42.626) Prec@5 66.406 (67.714) Epoch: [23][5730/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7532 (2.6603) Prec@1 42.188 (42.621) Prec@5 66.406 (67.712) Epoch: [23][5740/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5284 (2.6602) Prec@1 40.625 (42.623) Prec@5 68.750 (67.714) Epoch: [23][5750/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9858 (2.6602) Prec@1 34.375 (42.624) Prec@5 62.500 (67.714) Epoch: [23][5760/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8047 (2.6601) Prec@1 39.844 (42.624) Prec@5 70.312 (67.715) Epoch: [23][5770/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9495 (2.6604) Prec@1 40.625 (42.623) Prec@5 60.156 (67.713) Epoch: [23][5780/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7139 (2.6605) Prec@1 38.281 (42.622) Prec@5 65.625 (67.709) Epoch: [23][5790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8541 (2.6605) Prec@1 34.375 (42.617) Prec@5 64.062 (67.709) Epoch: [23][5800/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7302 (2.6607) Prec@1 38.281 (42.614) Prec@5 68.750 (67.703) Epoch: [23][5810/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8277 (2.6608) Prec@1 45.312 (42.612) Prec@5 67.969 (67.701) Epoch: [23][5820/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8749 (2.6611) Prec@1 38.281 (42.610) Prec@5 62.500 (67.697) Epoch: [23][5830/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9825 (2.6611) Prec@1 37.500 (42.612) Prec@5 64.062 (67.697) Epoch: [23][5840/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5449 (2.6612) Prec@1 43.750 (42.613) Prec@5 70.312 (67.698) Epoch: [23][5850/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4480 (2.6612) Prec@1 45.312 (42.612) Prec@5 71.094 (67.698) Epoch: [23][5860/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5901 (2.6611) Prec@1 46.875 (42.615) Prec@5 67.188 (67.699) Epoch: [23][5870/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6059 (2.6608) Prec@1 39.062 (42.618) Prec@5 67.188 (67.705) Epoch: [23][5880/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9903 (2.6608) Prec@1 42.969 (42.621) Prec@5 63.281 (67.706) Epoch: [23][5890/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5163 (2.6608) Prec@1 46.875 (42.619) Prec@5 71.875 (67.707) Epoch: [23][5900/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6762 (2.6608) Prec@1 39.062 (42.616) Prec@5 67.969 (67.709) Epoch: [23][5910/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6179 (2.6608) Prec@1 47.656 (42.616) Prec@5 67.969 (67.707) Epoch: [23][5920/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7520 (2.6609) Prec@1 35.938 (42.611) Prec@5 68.750 (67.702) Epoch: [23][5930/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7397 (2.6609) Prec@1 42.188 (42.608) Prec@5 64.844 (67.701) Epoch: [23][5940/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0162 (2.6610) Prec@1 35.156 (42.605) Prec@5 60.156 (67.701) Epoch: [23][5950/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6482 (2.6611) Prec@1 46.875 (42.605) Prec@5 67.969 (67.701) Epoch: [23][5960/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5427 (2.6611) Prec@1 44.531 (42.604) Prec@5 67.969 (67.701) Epoch: [23][5970/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6932 (2.6611) Prec@1 40.625 (42.603) Prec@5 72.656 (67.703) Epoch: [23][5980/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8496 (2.6612) Prec@1 40.625 (42.603) Prec@5 64.844 (67.702) Epoch: [23][5990/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6315 (2.6614) Prec@1 37.500 (42.599) Prec@5 74.219 (67.702) Epoch: [23][6000/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.2718 (2.6613) Prec@1 46.094 (42.602) Prec@5 77.344 (67.707) Epoch: [23][6010/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5471 (2.6614) Prec@1 52.344 (42.602) Prec@5 68.750 (67.706) Epoch: [23][6020/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7240 (2.6615) Prec@1 42.188 (42.601) Prec@5 68.750 (67.703) Epoch: [23][6030/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5482 (2.6614) Prec@1 40.625 (42.601) Prec@5 70.312 (67.703) Epoch: [23][6040/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6214 (2.6613) Prec@1 41.406 (42.604) Prec@5 68.750 (67.706) Epoch: [23][6050/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8849 (2.6611) Prec@1 35.156 (42.605) Prec@5 62.500 (67.709) Epoch: [23][6060/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7160 (2.6612) Prec@1 38.281 (42.604) Prec@5 64.844 (67.710) Epoch: [23][6070/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4071 (2.6611) Prec@1 47.656 (42.605) Prec@5 70.312 (67.712) Epoch: [23][6080/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4369 (2.6611) Prec@1 45.312 (42.604) Prec@5 71.094 (67.712) Epoch: [23][6090/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6740 (2.6612) Prec@1 41.406 (42.600) Prec@5 66.406 (67.709) Epoch: [23][6100/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3670 (2.6612) Prec@1 47.656 (42.599) Prec@5 75.000 (67.711) Epoch: [23][6110/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6772 (2.6612) Prec@1 42.969 (42.600) Prec@5 64.844 (67.710) Epoch: [23][6120/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6001 (2.6613) Prec@1 45.312 (42.600) Prec@5 67.188 (67.710) Epoch: [23][6130/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6345 (2.6614) Prec@1 39.062 (42.596) Prec@5 70.312 (67.709) Epoch: [23][6140/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8096 (2.6614) Prec@1 37.500 (42.595) Prec@5 63.281 (67.708) Epoch: [23][6150/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5405 (2.6614) Prec@1 41.406 (42.596) Prec@5 72.656 (67.708) Epoch: [23][6160/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7791 (2.6613) Prec@1 36.719 (42.599) Prec@5 67.188 (67.711) Epoch: [23][6170/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7955 (2.6612) Prec@1 36.719 (42.601) Prec@5 64.844 (67.713) Epoch: [23][6180/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7946 (2.6613) Prec@1 37.500 (42.600) Prec@5 68.750 (67.714) Epoch: [23][6190/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8046 (2.6613) Prec@1 39.844 (42.599) Prec@5 66.406 (67.711) Epoch: [23][6200/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4898 (2.6613) Prec@1 44.531 (42.597) Prec@5 67.969 (67.712) Epoch: [23][6210/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.2451 (2.6613) Prec@1 48.438 (42.595) Prec@5 75.000 (67.714) Epoch: [23][6220/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5040 (2.6612) Prec@1 45.312 (42.598) Prec@5 67.188 (67.713) Epoch: [23][6230/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6135 (2.6612) Prec@1 38.281 (42.597) Prec@5 70.312 (67.715) Epoch: [23][6240/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5876 (2.6611) Prec@1 48.438 (42.600) Prec@5 70.312 (67.719) Epoch: [23][6250/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8011 (2.6612) Prec@1 40.625 (42.600) Prec@5 71.875 (67.719) Epoch: [23][6260/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6253 (2.6611) Prec@1 44.531 (42.602) Prec@5 66.406 (67.720) Epoch: [23][6270/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5518 (2.6611) Prec@1 47.656 (42.602) Prec@5 72.656 (67.722) Epoch: [23][6280/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8313 (2.6611) Prec@1 36.719 (42.601) Prec@5 65.625 (67.723) Epoch: [23][6290/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6654 (2.6611) Prec@1 41.406 (42.602) Prec@5 67.188 (67.722) Epoch: [23][6300/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0650 (2.6612) Prec@1 39.062 (42.600) Prec@5 60.156 (67.719) Epoch: [23][6310/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7992 (2.6612) Prec@1 46.094 (42.604) Prec@5 63.281 (67.717) Epoch: [23][6320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6212 (2.6611) Prec@1 46.094 (42.606) Prec@5 69.531 (67.718) Epoch: [23][6330/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6751 (2.6611) Prec@1 43.750 (42.608) Prec@5 70.312 (67.718) Epoch: [23][6340/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8770 (2.6610) Prec@1 37.500 (42.608) Prec@5 65.625 (67.719) Epoch: [23][6350/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9070 (2.6610) Prec@1 39.062 (42.608) Prec@5 62.500 (67.718) Epoch: [23][6360/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.9918 (2.6611) Prec@1 36.719 (42.609) Prec@5 59.375 (67.715) Epoch: [23][6370/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.2622 (2.6610) Prec@1 48.438 (42.610) Prec@5 74.219 (67.717) Epoch: [23][6380/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5472 (2.6611) Prec@1 46.875 (42.610) Prec@5 69.531 (67.715) Epoch: [23][6390/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7900 (2.6611) Prec@1 38.281 (42.609) Prec@5 66.406 (67.714) Epoch: [23][6400/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5160 (2.6610) Prec@1 48.438 (42.612) Prec@5 67.188 (67.716) Epoch: [23][6410/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8750 (2.6610) Prec@1 37.500 (42.613) Prec@5 65.625 (67.717) Epoch: [23][6420/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9053 (2.6613) Prec@1 36.719 (42.607) Prec@5 64.062 (67.713) Epoch: [23][6430/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6867 (2.6612) Prec@1 42.969 (42.608) Prec@5 68.750 (67.715) Epoch: [23][6440/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8271 (2.6612) Prec@1 34.375 (42.606) Prec@5 62.500 (67.714) Epoch: [23][6450/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4287 (2.6613) Prec@1 47.656 (42.604) Prec@5 72.656 (67.710) Epoch: [23][6460/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6843 (2.6614) Prec@1 37.500 (42.602) Prec@5 69.531 (67.710) Epoch: [23][6470/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5557 (2.6615) Prec@1 46.094 (42.600) Prec@5 67.188 (67.707) Epoch: [23][6480/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.5450 (2.6614) Prec@1 38.281 (42.599) Prec@5 67.188 (67.709) Epoch: [23][6490/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7295 (2.6614) Prec@1 42.969 (42.600) Prec@5 65.625 (67.709) Epoch: [23][6500/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.2936 (2.6616) Prec@1 49.219 (42.597) Prec@5 74.219 (67.707) Epoch: [23][6510/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9281 (2.6616) Prec@1 35.938 (42.597) Prec@5 60.938 (67.705) Epoch: [23][6520/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7282 (2.6618) Prec@1 38.281 (42.594) Prec@5 63.281 (67.702) Epoch: [23][6530/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7339 (2.6618) Prec@1 43.750 (42.593) Prec@5 66.406 (67.699) Epoch: [23][6540/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6333 (2.6619) Prec@1 44.531 (42.594) Prec@5 70.312 (67.699) Epoch: [23][6550/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4386 (2.6621) Prec@1 46.875 (42.590) Prec@5 70.312 (67.694) Epoch: [23][6560/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5475 (2.6622) Prec@1 42.188 (42.588) Prec@5 69.531 (67.692) Epoch: [23][6570/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8686 (2.6623) Prec@1 40.625 (42.586) Prec@5 64.062 (67.690) Epoch: [23][6580/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4908 (2.6625) Prec@1 45.312 (42.583) Prec@5 70.312 (67.686) Epoch: [23][6590/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8477 (2.6625) Prec@1 39.844 (42.583) Prec@5 61.719 (67.687) Epoch: [23][6600/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7779 (2.6623) Prec@1 43.750 (42.587) Prec@5 65.625 (67.691) Epoch: [23][6610/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8856 (2.6626) Prec@1 39.844 (42.582) Prec@5 67.188 (67.686) Epoch: [23][6620/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8589 (2.6625) Prec@1 33.594 (42.579) Prec@5 62.500 (67.688) Epoch: [23][6630/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7675 (2.6626) Prec@1 37.500 (42.576) Prec@5 67.188 (67.687) Epoch: [23][6640/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.1972 (2.6626) Prec@1 33.594 (42.575) Prec@5 61.719 (67.687) Epoch: [23][6650/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5241 (2.6625) Prec@1 47.656 (42.577) Prec@5 69.531 (67.689) Epoch: [23][6660/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6576 (2.6624) Prec@1 40.625 (42.576) Prec@5 70.312 (67.691) Epoch: [23][6670/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6898 (2.6624) Prec@1 40.625 (42.574) Prec@5 63.281 (67.691) Epoch: [23][6680/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7713 (2.6624) Prec@1 40.625 (42.574) Prec@5 63.281 (67.693) Epoch: [23][6690/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7330 (2.6622) Prec@1 44.531 (42.576) Prec@5 64.844 (67.694) Epoch: [23][6700/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5352 (2.6622) Prec@1 46.094 (42.575) Prec@5 73.438 (67.696) Epoch: [23][6710/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4701 (2.6623) Prec@1 48.438 (42.573) Prec@5 73.438 (67.696) Epoch: [23][6720/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.0820 (2.6625) Prec@1 37.500 (42.570) Prec@5 60.156 (67.693) Epoch: [23][6730/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6803 (2.6626) Prec@1 42.969 (42.566) Prec@5 70.312 (67.691) Epoch: [23][6740/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7158 (2.6626) Prec@1 39.062 (42.565) Prec@5 65.625 (67.694) Epoch: [23][6750/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7482 (2.6626) Prec@1 42.188 (42.564) Prec@5 69.531 (67.694) Epoch: [23][6760/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9107 (2.6626) Prec@1 36.719 (42.563) Prec@5 65.625 (67.695) Epoch: [23][6770/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7754 (2.6626) Prec@1 37.500 (42.562) Prec@5 65.625 (67.695) Epoch: [23][6780/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8820 (2.6626) Prec@1 38.281 (42.561) Prec@5 61.719 (67.695) Epoch: [23][6790/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4774 (2.6626) Prec@1 49.219 (42.564) Prec@5 65.625 (67.694) Epoch: [23][6800/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4297 (2.6625) Prec@1 48.438 (42.565) Prec@5 71.094 (67.696) Epoch: [23][6810/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9302 (2.6627) Prec@1 33.594 (42.562) Prec@5 64.062 (67.692) Epoch: [23][6820/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7871 (2.6627) Prec@1 35.156 (42.561) Prec@5 64.844 (67.694) Epoch: [23][6830/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5964 (2.6628) Prec@1 40.625 (42.560) Prec@5 67.969 (67.692) Epoch: [23][6840/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.6716 (2.6628) Prec@1 39.062 (42.558) Prec@5 67.969 (67.691) Epoch: [23][6850/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6957 (2.6628) Prec@1 39.844 (42.558) Prec@5 67.188 (67.692) Epoch: [23][6860/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6389 (2.6627) Prec@1 42.969 (42.557) Prec@5 72.656 (67.695) Epoch: [23][6870/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9399 (2.6627) Prec@1 37.500 (42.556) Prec@5 64.062 (67.694) Epoch: [23][6880/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9417 (2.6627) Prec@1 39.062 (42.555) Prec@5 60.938 (67.696) Epoch: [23][6890/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7874 (2.6628) Prec@1 42.188 (42.554) Prec@5 62.500 (67.694) Epoch: [23][6900/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7245 (2.6629) Prec@1 42.969 (42.552) Prec@5 65.625 (67.693) Epoch: [23][6910/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6926 (2.6628) Prec@1 37.500 (42.553) Prec@5 74.219 (67.696) Epoch: [23][6920/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7393 (2.6627) Prec@1 46.094 (42.555) Prec@5 67.969 (67.697) Epoch: [23][6930/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9264 (2.6628) Prec@1 33.594 (42.552) Prec@5 58.594 (67.697) Epoch: [23][6940/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6649 (2.6628) Prec@1 44.531 (42.552) Prec@5 64.844 (67.698) Epoch: [23][6950/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4466 (2.6628) Prec@1 46.875 (42.552) Prec@5 70.312 (67.696) Epoch: [23][6960/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5733 (2.6630) Prec@1 45.312 (42.548) Prec@5 70.312 (67.695) Epoch: [23][6970/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6511 (2.6630) Prec@1 45.312 (42.548) Prec@5 69.531 (67.693) Epoch: [23][6980/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5962 (2.6630) Prec@1 42.188 (42.549) Prec@5 67.188 (67.694) Epoch: [23][6990/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0896 (2.6629) Prec@1 57.031 (42.549) Prec@5 74.219 (67.695) Epoch: [23][7000/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8739 (2.6629) Prec@1 38.281 (42.548) Prec@5 63.281 (67.694) Epoch: [23][7010/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9834 (2.6630) Prec@1 35.938 (42.545) Prec@5 57.031 (67.692) Epoch: [23][7020/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9016 (2.6630) Prec@1 35.938 (42.544) Prec@5 67.969 (67.691) Epoch: [23][7030/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7792 (2.6629) Prec@1 39.062 (42.546) Prec@5 68.750 (67.692) Epoch: [23][7040/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8495 (2.6630) Prec@1 35.938 (42.544) Prec@5 66.406 (67.691) Epoch: [23][7050/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.3821 (2.6628) Prec@1 43.750 (42.547) Prec@5 74.219 (67.693) Epoch: [23][7060/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6969 (2.6628) Prec@1 43.750 (42.551) Prec@5 64.062 (67.693) Epoch: [23][7070/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8626 (2.6628) Prec@1 35.938 (42.549) Prec@5 67.969 (67.692) Epoch: [23][7080/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.2498 (2.6629) Prec@1 33.594 (42.548) Prec@5 60.156 (67.691) Epoch: [23][7090/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.4336 (2.6629) Prec@1 43.750 (42.548) Prec@5 65.625 (67.691) Epoch: [23][7100/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0344 (2.6628) Prec@1 39.062 (42.550) Prec@5 61.719 (67.692) Epoch: [23][7110/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.3313 (2.6629) Prec@1 46.094 (42.551) Prec@5 71.875 (67.692) Epoch: [23][7120/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.2649 (2.6629) Prec@1 45.312 (42.549) Prec@5 75.000 (67.693) Epoch: [23][7130/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5901 (2.6627) Prec@1 42.188 (42.552) Prec@5 67.969 (67.698) Epoch: [23][7140/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9552 (2.6628) Prec@1 37.500 (42.551) Prec@5 60.156 (67.696) Epoch: [23][7150/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0260 (2.6629) Prec@1 41.406 (42.552) Prec@5 63.281 (67.695) Epoch: [23][7160/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6410 (2.6629) Prec@1 42.188 (42.552) Prec@5 67.188 (67.695) Epoch: [23][7170/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6049 (2.6629) Prec@1 41.406 (42.552) Prec@5 67.188 (67.695) Epoch: [23][7180/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7243 (2.6630) Prec@1 39.844 (42.549) Prec@5 67.188 (67.692) Epoch: [23][7190/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7876 (2.6630) Prec@1 38.281 (42.549) Prec@5 66.406 (67.692) Epoch: [23][7200/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.7224 (2.6631) Prec@1 44.531 (42.547) Prec@5 66.406 (67.691) Epoch: [23][7210/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6373 (2.6631) Prec@1 42.969 (42.547) Prec@5 67.969 (67.691) Epoch: [23][7220/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0638 (2.6633) Prec@1 37.500 (42.543) Prec@5 64.844 (67.686) Epoch: [23][7230/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5959 (2.6633) Prec@1 46.094 (42.542) Prec@5 71.875 (67.686) Epoch: [23][7240/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6958 (2.6635) Prec@1 39.062 (42.539) Prec@5 68.750 (67.684) Epoch: [23][7250/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6059 (2.6635) Prec@1 45.312 (42.539) Prec@5 68.750 (67.681) Epoch: [23][7260/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5207 (2.6635) Prec@1 44.531 (42.539) Prec@5 70.312 (67.681) Epoch: [23][7270/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7326 (2.6634) Prec@1 47.656 (42.539) Prec@5 69.531 (67.684) Epoch: [23][7280/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8405 (2.6635) Prec@1 41.406 (42.538) Prec@5 65.625 (67.684) Epoch: [23][7290/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8207 (2.6635) Prec@1 42.969 (42.541) Prec@5 67.969 (67.684) Epoch: [23][7300/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6007 (2.6636) Prec@1 41.406 (42.540) Prec@5 66.406 (67.682) Epoch: [23][7310/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6256 (2.6636) Prec@1 42.188 (42.541) Prec@5 71.094 (67.681) Epoch: [23][7320/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9398 (2.6637) Prec@1 34.375 (42.538) Prec@5 65.625 (67.678) Epoch: [23][7330/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9779 (2.6638) Prec@1 37.500 (42.538) Prec@5 60.938 (67.675) Epoch: [23][7340/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.1870 (2.6638) Prec@1 28.125 (42.535) Prec@5 57.031 (67.677) Epoch: [23][7350/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.5610 (2.6637) Prec@1 40.625 (42.535) Prec@5 69.531 (67.677) Epoch: [23][7360/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4980 (2.6638) Prec@1 46.094 (42.533) Prec@5 67.188 (67.676) Epoch: [23][7370/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8349 (2.6637) Prec@1 44.531 (42.533) Prec@5 62.500 (67.677) Epoch: [23][7380/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5154 (2.6637) Prec@1 41.406 (42.534) Prec@5 67.969 (67.678) Epoch: [23][7390/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6387 (2.6636) Prec@1 46.094 (42.540) Prec@5 64.844 (67.679) Epoch: [23][7400/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7967 (2.6636) Prec@1 41.406 (42.541) Prec@5 64.062 (67.678) Epoch: [23][7410/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7524 (2.6637) Prec@1 36.719 (42.537) Prec@5 67.969 (67.677) Epoch: [23][7420/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8671 (2.6637) Prec@1 39.062 (42.535) Prec@5 64.844 (67.677) Epoch: [23][7430/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6910 (2.6638) Prec@1 35.938 (42.533) Prec@5 65.625 (67.674) Epoch: [23][7440/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6061 (2.6637) Prec@1 45.312 (42.535) Prec@5 69.531 (67.676) Epoch: [23][7450/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6234 (2.6639) Prec@1 39.844 (42.532) Prec@5 68.750 (67.673) Epoch: [23][7460/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0718 (2.6639) Prec@1 34.375 (42.533) Prec@5 62.500 (67.675) Epoch: [23][7470/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5049 (2.6638) Prec@1 43.750 (42.533) Prec@5 71.875 (67.676) Epoch: [23][7480/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9259 (2.6639) Prec@1 32.812 (42.530) Prec@5 60.938 (67.673) Epoch: [23][7490/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5971 (2.6639) Prec@1 42.188 (42.532) Prec@5 65.625 (67.671) Epoch: [23][7500/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4379 (2.6640) Prec@1 48.438 (42.533) Prec@5 70.312 (67.672) Epoch: [23][7510/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7994 (2.6640) Prec@1 37.500 (42.531) Prec@5 67.188 (67.671) Epoch: [23][7520/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6214 (2.6640) Prec@1 42.188 (42.531) Prec@5 67.969 (67.670) Epoch: [23][7530/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5256 (2.6640) Prec@1 44.531 (42.532) Prec@5 63.281 (67.668) Epoch: [23][7540/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8546 (2.6640) Prec@1 31.250 (42.532) Prec@5 65.625 (67.668) Epoch: [23][7550/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2947 (2.6640) Prec@1 50.000 (42.533) Prec@5 75.781 (67.671) Epoch: [23][7560/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8922 (2.6640) Prec@1 39.062 (42.529) Prec@5 65.625 (67.668) Epoch: [23][7570/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6128 (2.6640) Prec@1 42.188 (42.528) Prec@5 66.406 (67.668) Epoch: [23][7580/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3142 (2.6640) Prec@1 49.219 (42.530) Prec@5 73.438 (67.670) Epoch: [23][7590/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8962 (2.6640) Prec@1 41.406 (42.528) Prec@5 67.188 (67.669) Epoch: [23][7600/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4984 (2.6640) Prec@1 46.094 (42.526) Prec@5 69.531 (67.669) Epoch: [23][7610/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5682 (2.6639) Prec@1 47.656 (42.529) Prec@5 70.312 (67.671) Epoch: [23][7620/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8637 (2.6640) Prec@1 35.156 (42.529) Prec@5 65.625 (67.672) Epoch: [23][7630/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8459 (2.6640) Prec@1 37.500 (42.528) Prec@5 67.188 (67.672) Epoch: [23][7640/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6404 (2.6640) Prec@1 37.500 (42.527) Prec@5 66.406 (67.670) Epoch: [23][7650/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7747 (2.6640) Prec@1 41.406 (42.528) Prec@5 63.281 (67.669) Epoch: [23][7660/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5597 (2.6638) Prec@1 42.969 (42.532) Prec@5 71.875 (67.675) Epoch: [23][7670/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7260 (2.6638) Prec@1 42.188 (42.530) Prec@5 67.188 (67.674) Epoch: [23][7680/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9572 (2.6639) Prec@1 34.375 (42.526) Prec@5 61.719 (67.672) Epoch: [23][7690/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8332 (2.6640) Prec@1 40.625 (42.524) Prec@5 67.188 (67.672) Epoch: [23][7700/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7619 (2.6639) Prec@1 39.062 (42.526) Prec@5 64.844 (67.672) Epoch: [23][7710/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9425 (2.6639) Prec@1 35.938 (42.529) Prec@5 64.062 (67.675) Epoch: [23][7720/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4273 (2.6639) Prec@1 46.094 (42.526) Prec@5 71.094 (67.674) Epoch: [23][7730/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6283 (2.6640) Prec@1 43.750 (42.524) Prec@5 69.531 (67.671) Epoch: [23][7740/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.2270 (2.6640) Prec@1 48.438 (42.521) Prec@5 72.656 (67.670) Epoch: [23][7750/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6894 (2.6640) Prec@1 41.406 (42.523) Prec@5 65.625 (67.672) Epoch: [23][7760/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6500 (2.6640) Prec@1 46.875 (42.524) Prec@5 71.875 (67.672) /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: [23][7770/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8033 (2.6641) Prec@1 40.625 (42.521) Prec@5 63.281 (67.670) Epoch: [23][7780/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6517 (2.6642) Prec@1 39.844 (42.520) Prec@5 71.094 (67.670) Epoch: [23][7790/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7141 (2.6641) Prec@1 42.188 (42.521) Prec@5 64.844 (67.672) Epoch: [23][7800/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5235 (2.6640) Prec@1 45.312 (42.522) Prec@5 67.188 (67.672) Epoch: [23][7810/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9202 (2.6640) Prec@1 39.844 (42.521) Prec@5 60.938 (67.672) Epoch: [23][7820/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6087 (2.6640) Prec@1 46.875 (42.521) Prec@5 67.188 (67.671) Epoch: [23][7830/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7265 (2.6641) Prec@1 35.156 (42.521) Prec@5 62.500 (67.671) Epoch: [23][7840/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.0523 (2.6642) Prec@1 39.062 (42.521) Prec@5 63.281 (67.670) Epoch: [23][7850/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6701 (2.6642) Prec@1 38.281 (42.520) Prec@5 68.750 (67.669) Epoch: [23][7860/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7539 (2.6642) Prec@1 44.531 (42.518) Prec@5 67.969 (67.668) Epoch: [23][7870/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.2013 (2.6643) Prec@1 51.562 (42.517) Prec@5 75.000 (67.666) Epoch: [23][7880/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9964 (2.6644) Prec@1 40.625 (42.515) Prec@5 62.500 (67.665) Epoch: [23][7890/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8687 (2.6645) Prec@1 39.844 (42.514) Prec@5 67.188 (67.664) Epoch: [23][7900/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5605 (2.6644) Prec@1 45.312 (42.514) Prec@5 68.750 (67.666) Epoch: [23][7910/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8057 (2.6645) Prec@1 39.062 (42.513) Prec@5 62.500 (67.664) Epoch: [23][7920/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.5813 (2.6644) Prec@1 46.094 (42.516) Prec@5 67.969 (67.665) Epoch: [23][7930/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6191 (2.6645) Prec@1 42.969 (42.513) Prec@5 69.531 (67.662) Epoch: [23][7940/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7865 (2.6646) Prec@1 39.062 (42.512) Prec@5 64.844 (67.661) Epoch: [23][7950/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5482 (2.6646) Prec@1 41.406 (42.512) Prec@5 74.219 (67.663) Epoch: [23][7960/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.3010 (2.6646) Prec@1 49.219 (42.512) Prec@5 72.656 (67.663) Epoch: [23][7970/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7640 (2.6647) Prec@1 42.188 (42.511) Prec@5 64.844 (67.661) Epoch: [23][7980/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.6429 (2.6647) Prec@1 46.094 (42.508) Prec@5 67.969 (67.660) Epoch: [23][7990/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8892 (2.6647) Prec@1 41.406 (42.506) Prec@5 63.281 (67.661) Epoch: [23][8000/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6829 (2.6648) Prec@1 42.969 (42.502) Prec@5 67.188 (67.659) Epoch: [23][8010/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6054 (2.6649) Prec@1 42.188 (42.501) Prec@5 67.188 (67.659) Epoch: [23][8020/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4081 (2.6648) Prec@1 44.531 (42.501) Prec@5 74.219 (67.662) Epoch: [23][8030/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9124 (2.6650) Prec@1 42.969 (42.499) Prec@5 65.625 (67.658) Epoch: [23][8040/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 3.0808 (2.6652) Prec@1 35.938 (42.495) Prec@5 54.688 (67.654) Epoch: [23][8050/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8249 (2.6651) Prec@1 35.938 (42.494) Prec@5 68.750 (67.656) Epoch: [23][8060/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.3102 (2.6652) Prec@1 38.281 (42.493) Prec@5 58.594 (67.653) Epoch: [23][8070/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7554 (2.6651) Prec@1 38.281 (42.493) Prec@5 68.750 (67.655) /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: [23][8080/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7972 (2.6652) Prec@1 34.375 (42.491) Prec@5 62.500 (67.653) Epoch: [23][8090/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6860 (2.6650) Prec@1 42.188 (42.495) Prec@5 71.094 (67.657) Epoch: [23][8100/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4864 (2.6651) Prec@1 46.875 (42.494) Prec@5 66.406 (67.656) Epoch: [23][8110/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4278 (2.6652) Prec@1 45.312 (42.492) Prec@5 66.406 (67.655) Epoch: [23][8120/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.2693 (2.6652) Prec@1 50.781 (42.491) Prec@5 75.000 (67.654) Epoch: [23][8130/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6857 (2.6652) Prec@1 46.094 (42.491) Prec@5 65.625 (67.652) Epoch: [23][8140/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4620 (2.6652) Prec@1 46.094 (42.494) Prec@5 69.531 (67.653) Epoch: [23][8150/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.3339 (2.6651) Prec@1 46.094 (42.495) Prec@5 71.094 (67.655) Epoch: [23][8160/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7128 (2.6651) Prec@1 44.531 (42.495) Prec@5 64.844 (67.654) Epoch: [23][8170/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4209 (2.6651) Prec@1 48.438 (42.495) Prec@5 72.656 (67.653) Epoch: [23][8180/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6448 (2.6650) Prec@1 41.406 (42.496) Prec@5 67.188 (67.654) Epoch: [23][8190/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9299 (2.6649) Prec@1 39.062 (42.497) Prec@5 58.594 (67.655) Epoch: [23][8200/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.3448 (2.6650) Prec@1 42.188 (42.496) Prec@5 72.656 (67.654) Epoch: [23][8210/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4226 (2.6650) Prec@1 46.094 (42.496) Prec@5 71.094 (67.654) Epoch: [23][8220/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5345 (2.6651) Prec@1 42.969 (42.496) Prec@5 70.312 (67.652) Epoch: [23][8230/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6835 (2.6651) Prec@1 39.844 (42.495) Prec@5 71.875 (67.653) Epoch: [23][8240/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5580 (2.6650) Prec@1 44.531 (42.497) Prec@5 68.750 (67.653) Epoch: [23][8250/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6520 (2.6650) Prec@1 42.969 (42.495) Prec@5 69.531 (67.653) Epoch: [23][8260/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6263 (2.6650) Prec@1 48.438 (42.495) Prec@5 66.406 (67.654) Epoch: [23][8270/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9932 (2.6650) Prec@1 35.938 (42.494) Prec@5 59.375 (67.653) Epoch: [23][8280/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9109 (2.6651) Prec@1 38.281 (42.494) Prec@5 68.750 (67.653) Epoch: [23][8290/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6064 (2.6651) Prec@1 43.750 (42.494) Prec@5 71.875 (67.652) Epoch: [23][8300/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6185 (2.6651) Prec@1 39.844 (42.494) Prec@5 68.750 (67.651) Epoch: [23][8310/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9976 (2.6651) Prec@1 32.812 (42.493) Prec@5 59.375 (67.650) Epoch: [23][8320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4202 (2.6652) Prec@1 44.531 (42.490) Prec@5 69.531 (67.649) Epoch: [23][8330/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0554 (2.6652) Prec@1 40.625 (42.491) Prec@5 58.594 (67.649) Epoch: [23][8340/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8870 (2.6653) Prec@1 42.188 (42.490) Prec@5 64.844 (67.647) Epoch: [23][8350/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6729 (2.6653) Prec@1 42.188 (42.490) Prec@5 70.312 (67.648) Epoch: [23][8360/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.2451 (2.6653) Prec@1 47.656 (42.492) Prec@5 75.000 (67.647) Epoch: [23][8370/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.3765 (2.6652) Prec@1 46.094 (42.494) Prec@5 69.531 (67.648) Epoch: [23][8380/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.8288 (2.6651) Prec@1 41.406 (42.494) Prec@5 63.281 (67.648) Epoch: [23][8390/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6608 (2.6651) Prec@1 42.969 (42.495) Prec@5 64.062 (67.647) Epoch: [23][8400/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.2460 (2.6651) Prec@1 45.312 (42.496) Prec@5 75.000 (67.648) Epoch: [23][8410/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8915 (2.6652) Prec@1 37.500 (42.493) Prec@5 63.281 (67.648) Epoch: [23][8420/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7173 (2.6652) Prec@1 42.188 (42.494) Prec@5 64.062 (67.647) Epoch: [23][8430/10010] Time 0.327 (0.331) Data 0.003 (0.001) Loss 2.5320 (2.6652) Prec@1 45.312 (42.493) Prec@5 71.875 (67.646) Epoch: [23][8440/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.7060 (2.6653) Prec@1 47.656 (42.492) Prec@5 68.750 (67.644) Epoch: [23][8450/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7444 (2.6654) Prec@1 37.500 (42.492) Prec@5 64.844 (67.644) Epoch: [23][8460/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.7281 (2.6654) Prec@1 39.062 (42.492) Prec@5 68.750 (67.642) Epoch: [23][8470/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8580 (2.6656) Prec@1 42.188 (42.491) Prec@5 63.281 (67.639) Epoch: [23][8480/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7340 (2.6656) Prec@1 39.062 (42.489) Prec@5 64.844 (67.639) Epoch: [23][8490/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8143 (2.6657) Prec@1 36.719 (42.486) Prec@5 65.625 (67.637) Epoch: [23][8500/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7934 (2.6657) Prec@1 39.844 (42.486) Prec@5 67.969 (67.640) Epoch: [23][8510/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.6611 (2.6657) Prec@1 40.625 (42.485) Prec@5 70.312 (67.640) Epoch: [23][8520/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5387 (2.6659) Prec@1 42.969 (42.484) Prec@5 67.188 (67.639) Epoch: [23][8530/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9102 (2.6660) Prec@1 41.406 (42.483) Prec@5 66.406 (67.638) Epoch: [23][8540/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6030 (2.6661) Prec@1 42.188 (42.480) Prec@5 69.531 (67.636) Epoch: [23][8550/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6747 (2.6661) Prec@1 40.625 (42.479) Prec@5 68.750 (67.637) Epoch: [23][8560/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.7592 (2.6660) Prec@1 41.406 (42.482) Prec@5 67.188 (67.638) Epoch: [23][8570/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5129 (2.6660) Prec@1 46.094 (42.482) Prec@5 68.750 (67.637) Epoch: [23][8580/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8930 (2.6660) Prec@1 36.719 (42.479) Prec@5 63.281 (67.635) Epoch: [23][8590/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8640 (2.6660) Prec@1 35.156 (42.479) Prec@5 64.062 (67.636) Epoch: [23][8600/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0302 (2.6661) Prec@1 35.156 (42.478) Prec@5 62.500 (67.632) Epoch: [23][8610/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5122 (2.6661) Prec@1 42.969 (42.479) Prec@5 66.406 (67.633) Epoch: [23][8620/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8624 (2.6662) Prec@1 41.406 (42.478) Prec@5 65.625 (67.630) Epoch: [23][8630/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7260 (2.6662) Prec@1 38.281 (42.479) Prec@5 66.406 (67.630) Epoch: [23][8640/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3413 (2.6661) Prec@1 49.219 (42.481) Prec@5 70.312 (67.631) Epoch: [23][8650/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7376 (2.6661) Prec@1 46.875 (42.481) Prec@5 67.188 (67.630) Epoch: [23][8660/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5925 (2.6662) Prec@1 41.406 (42.480) Prec@5 69.531 (67.628) Epoch: [23][8670/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4928 (2.6662) Prec@1 42.969 (42.478) Prec@5 73.438 (67.630) Epoch: [23][8680/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4513 (2.6662) Prec@1 46.875 (42.480) Prec@5 71.875 (67.630) Epoch: [23][8690/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9650 (2.6664) Prec@1 39.844 (42.476) Prec@5 61.719 (67.626) Epoch: [23][8700/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.7309 (2.6664) Prec@1 40.625 (42.476) Prec@5 64.844 (67.626) Epoch: [23][8710/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.7204 (2.6663) Prec@1 36.719 (42.476) Prec@5 66.406 (67.628) Epoch: [23][8720/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6812 (2.6664) Prec@1 41.406 (42.475) Prec@5 66.406 (67.628) Epoch: [23][8730/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5612 (2.6663) Prec@1 41.406 (42.478) Prec@5 67.969 (67.628) Epoch: [23][8740/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1655 (2.6662) Prec@1 50.000 (42.479) Prec@5 77.344 (67.629) Epoch: [23][8750/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5470 (2.6663) Prec@1 40.625 (42.478) Prec@5 64.844 (67.628) Epoch: [23][8760/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8700 (2.6662) Prec@1 35.938 (42.481) Prec@5 64.062 (67.630) Epoch: [23][8770/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5068 (2.6662) Prec@1 48.438 (42.480) Prec@5 71.094 (67.630) Epoch: [23][8780/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8887 (2.6662) Prec@1 39.062 (42.479) Prec@5 62.500 (67.630) Epoch: [23][8790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8436 (2.6661) Prec@1 42.969 (42.482) Prec@5 67.188 (67.632) Epoch: [23][8800/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7270 (2.6660) Prec@1 39.844 (42.484) Prec@5 65.625 (67.634) Epoch: [23][8810/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7671 (2.6662) Prec@1 43.750 (42.482) Prec@5 61.719 (67.630) Epoch: [23][8820/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7533 (2.6662) Prec@1 39.062 (42.480) Prec@5 64.062 (67.630) Epoch: [23][8830/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5871 (2.6662) Prec@1 45.312 (42.479) Prec@5 70.312 (67.630) Epoch: [23][8840/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5429 (2.6662) Prec@1 41.406 (42.480) Prec@5 69.531 (67.632) Epoch: [23][8850/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7460 (2.6662) Prec@1 42.188 (42.480) Prec@5 60.938 (67.631) Epoch: [23][8860/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7544 (2.6661) Prec@1 43.750 (42.484) Prec@5 65.625 (67.633) Epoch: [23][8870/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5684 (2.6662) Prec@1 41.406 (42.483) Prec@5 70.312 (67.633) Epoch: [23][8880/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9334 (2.6663) Prec@1 37.500 (42.484) Prec@5 62.500 (67.632) Epoch: [23][8890/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4008 (2.6662) Prec@1 48.438 (42.484) Prec@5 70.312 (67.632) Epoch: [23][8900/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6219 (2.6663) Prec@1 44.531 (42.481) Prec@5 66.406 (67.631) Epoch: [23][8910/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7659 (2.6663) Prec@1 38.281 (42.480) Prec@5 70.312 (67.630) Epoch: [23][8920/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7222 (2.6663) Prec@1 46.094 (42.482) Prec@5 70.312 (67.630) Epoch: [23][8930/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.2582 (2.6662) Prec@1 44.531 (42.485) Prec@5 78.906 (67.633) Epoch: [23][8940/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6424 (2.6663) Prec@1 42.969 (42.482) Prec@5 72.656 (67.630) Epoch: [23][8950/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5657 (2.6663) Prec@1 41.406 (42.483) Prec@5 67.969 (67.629) Epoch: [23][8960/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.3371 (2.6663) Prec@1 46.094 (42.484) Prec@5 71.875 (67.629) Epoch: [23][8970/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.9408 (2.6663) Prec@1 39.844 (42.484) Prec@5 64.062 (67.630) Epoch: [23][8980/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8673 (2.6664) Prec@1 39.844 (42.481) Prec@5 67.969 (67.629) Epoch: [23][8990/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0120 (2.6665) Prec@1 41.406 (42.478) Prec@5 60.938 (67.628) Epoch: [23][9000/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.9680 (2.6665) Prec@1 39.844 (42.479) Prec@5 61.719 (67.627) Epoch: [23][9010/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7722 (2.6666) Prec@1 39.844 (42.480) Prec@5 65.625 (67.626) Epoch: [23][9020/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6746 (2.6668) Prec@1 38.281 (42.478) Prec@5 67.969 (67.624) Epoch: [23][9030/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7528 (2.6667) Prec@1 45.312 (42.479) Prec@5 64.844 (67.624) Epoch: [23][9040/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9413 (2.6668) Prec@1 39.844 (42.478) Prec@5 62.500 (67.623) Epoch: [23][9050/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5568 (2.6667) Prec@1 46.875 (42.479) Prec@5 70.312 (67.624) Epoch: [23][9060/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4405 (2.6667) Prec@1 46.094 (42.481) Prec@5 67.969 (67.626) Epoch: [23][9070/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4836 (2.6667) Prec@1 49.219 (42.480) Prec@5 70.312 (67.626) Epoch: [23][9080/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9956 (2.6667) Prec@1 35.938 (42.481) Prec@5 63.281 (67.626) Epoch: [23][9090/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6970 (2.6667) Prec@1 45.312 (42.481) Prec@5 61.719 (67.626) Epoch: [23][9100/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7182 (2.6667) Prec@1 40.625 (42.481) Prec@5 67.969 (67.625) Epoch: [23][9110/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7364 (2.6667) Prec@1 45.312 (42.481) Prec@5 64.844 (67.625) Epoch: [23][9120/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.1522 (2.6667) Prec@1 51.562 (42.482) Prec@5 78.906 (67.627) Epoch: [23][9130/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6437 (2.6666) Prec@1 46.094 (42.484) Prec@5 67.188 (67.627) Epoch: [23][9140/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6409 (2.6666) Prec@1 48.438 (42.484) Prec@5 70.312 (67.628) Epoch: [23][9150/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4926 (2.6666) Prec@1 46.875 (42.485) Prec@5 74.219 (67.628) Epoch: [23][9160/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7263 (2.6665) Prec@1 44.531 (42.487) Prec@5 67.969 (67.629) Epoch: [23][9170/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6641 (2.6664) Prec@1 41.406 (42.489) Prec@5 65.625 (67.632) Epoch: [23][9180/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7749 (2.6666) Prec@1 39.844 (42.485) Prec@5 65.625 (67.629) Epoch: [23][9190/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8952 (2.6666) Prec@1 37.500 (42.483) Prec@5 65.625 (67.628) Epoch: [23][9200/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7098 (2.6666) Prec@1 41.406 (42.483) Prec@5 63.281 (67.627) Epoch: [23][9210/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.3620 (2.6666) Prec@1 53.125 (42.484) Prec@5 71.094 (67.628) Epoch: [23][9220/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7244 (2.6665) Prec@1 44.531 (42.484) Prec@5 67.969 (67.630) Epoch: [23][9230/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6561 (2.6665) Prec@1 40.625 (42.485) Prec@5 71.875 (67.630) Epoch: [23][9240/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5821 (2.6666) Prec@1 41.406 (42.484) Prec@5 69.531 (67.629) Epoch: [23][9250/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.6672 (2.6666) Prec@1 42.969 (42.484) Prec@5 67.969 (67.630) Epoch: [23][9260/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5769 (2.6666) Prec@1 42.188 (42.483) Prec@5 68.750 (67.630) Epoch: [23][9270/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7498 (2.6667) Prec@1 40.625 (42.481) Prec@5 63.281 (67.630) Epoch: [23][9280/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.3720 (2.6668) Prec@1 48.438 (42.479) Prec@5 70.312 (67.628) Epoch: [23][9290/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8601 (2.6670) Prec@1 34.375 (42.476) Prec@5 63.281 (67.625) Epoch: [23][9300/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7578 (2.6671) Prec@1 40.625 (42.473) Prec@5 67.969 (67.622) Epoch: [23][9310/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5610 (2.6672) Prec@1 42.969 (42.472) Prec@5 67.188 (67.621) Epoch: [23][9320/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6819 (2.6671) Prec@1 38.281 (42.472) Prec@5 67.969 (67.621) Epoch: [23][9330/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6639 (2.6670) Prec@1 43.750 (42.472) Prec@5 70.312 (67.623) Epoch: [23][9340/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6055 (2.6671) Prec@1 50.000 (42.473) Prec@5 68.750 (67.622) Epoch: [23][9350/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4012 (2.6671) Prec@1 50.781 (42.472) Prec@5 72.656 (67.620) Epoch: [23][9360/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.9112 (2.6671) Prec@1 39.062 (42.470) Prec@5 63.281 (67.618) Epoch: [23][9370/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.3212 (2.6672) Prec@1 50.781 (42.471) Prec@5 76.562 (67.619) Epoch: [23][9380/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5732 (2.6671) Prec@1 39.844 (42.471) Prec@5 66.406 (67.621) Epoch: [23][9390/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4284 (2.6672) Prec@1 49.219 (42.469) Prec@5 68.750 (67.618) Epoch: [23][9400/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4738 (2.6673) Prec@1 43.750 (42.468) Prec@5 68.750 (67.617) Epoch: [23][9410/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7393 (2.6673) Prec@1 43.750 (42.468) Prec@5 67.969 (67.615) Epoch: [23][9420/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4730 (2.6672) Prec@1 46.094 (42.469) Prec@5 67.188 (67.617) Epoch: [23][9430/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.9818 (2.6673) Prec@1 38.281 (42.469) Prec@5 62.500 (67.616) Epoch: [23][9440/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4970 (2.6675) Prec@1 44.531 (42.466) Prec@5 71.875 (67.613) Epoch: [23][9450/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6686 (2.6674) Prec@1 43.750 (42.467) Prec@5 67.188 (67.615) Epoch: [23][9460/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6349 (2.6674) Prec@1 41.406 (42.466) Prec@5 67.188 (67.615) Epoch: [23][9470/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8945 (2.6674) Prec@1 39.844 (42.466) Prec@5 64.844 (67.615) Epoch: [23][9480/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0326 (2.6675) Prec@1 37.500 (42.465) Prec@5 57.812 (67.613) Epoch: [23][9490/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7404 (2.6677) Prec@1 41.406 (42.464) Prec@5 69.531 (67.611) Epoch: [23][9500/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6914 (2.6677) Prec@1 42.969 (42.464) Prec@5 68.750 (67.609) Epoch: [23][9510/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5630 (2.6678) Prec@1 47.656 (42.462) Prec@5 72.656 (67.608) Epoch: [23][9520/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9407 (2.6678) Prec@1 39.062 (42.462) Prec@5 67.188 (67.608) Epoch: [23][9530/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4109 (2.6677) Prec@1 48.438 (42.463) Prec@5 71.094 (67.608) Epoch: [23][9540/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7096 (2.6677) Prec@1 40.625 (42.464) Prec@5 65.625 (67.610) Epoch: [23][9550/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4979 (2.6677) Prec@1 44.531 (42.463) Prec@5 74.219 (67.609) Epoch: [23][9560/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.3760 (2.6677) Prec@1 43.750 (42.463) Prec@5 68.750 (67.609) Epoch: [23][9570/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4931 (2.6676) Prec@1 40.625 (42.462) Prec@5 75.000 (67.610) Epoch: [23][9580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4501 (2.6674) Prec@1 46.094 (42.465) Prec@5 71.875 (67.613) Epoch: [23][9590/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7766 (2.6675) Prec@1 46.875 (42.465) Prec@5 71.094 (67.612) Epoch: [23][9600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 3.0869 (2.6675) Prec@1 37.500 (42.466) Prec@5 60.156 (67.613) Epoch: [23][9610/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7857 (2.6675) Prec@1 42.188 (42.464) Prec@5 67.969 (67.613) Epoch: [23][9620/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8340 (2.6676) Prec@1 42.969 (42.464) Prec@5 66.406 (67.613) Epoch: [23][9630/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8466 (2.6676) Prec@1 45.312 (42.465) Prec@5 63.281 (67.613) Epoch: [23][9640/10010] Time 0.311 (0.331) Data 0.000 (0.001) Loss 2.7108 (2.6676) Prec@1 44.531 (42.466) Prec@5 65.625 (67.614) Epoch: [23][9650/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4038 (2.6676) Prec@1 41.406 (42.466) Prec@5 71.875 (67.615) Epoch: [23][9660/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7524 (2.6675) Prec@1 33.594 (42.465) Prec@5 65.625 (67.616) Epoch: [23][9670/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6841 (2.6675) Prec@1 42.188 (42.466) Prec@5 64.062 (67.616) Epoch: [23][9680/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1349 (2.6674) Prec@1 48.438 (42.468) Prec@5 74.219 (67.619) Epoch: [23][9690/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7948 (2.6674) Prec@1 39.844 (42.467) Prec@5 65.625 (67.618) Epoch: [23][9700/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5665 (2.6674) Prec@1 44.531 (42.468) Prec@5 66.406 (67.617) Epoch: [23][9710/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4281 (2.6673) Prec@1 50.781 (42.470) Prec@5 67.188 (67.617) Epoch: [23][9720/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7915 (2.6674) Prec@1 42.188 (42.470) Prec@5 66.406 (67.616) Epoch: [23][9730/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8495 (2.6673) Prec@1 35.156 (42.474) Prec@5 60.156 (67.616) Epoch: [23][9740/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6935 (2.6674) Prec@1 43.750 (42.472) Prec@5 67.188 (67.615) Epoch: [23][9750/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5681 (2.6673) Prec@1 43.750 (42.475) Prec@5 67.188 (67.617) Epoch: [23][9760/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6595 (2.6672) Prec@1 43.750 (42.477) Prec@5 71.094 (67.618) Epoch: [23][9770/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8395 (2.6672) Prec@1 42.188 (42.477) Prec@5 64.844 (67.617) Epoch: [23][9780/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8866 (2.6673) Prec@1 37.500 (42.478) Prec@5 68.750 (67.616) Epoch: [23][9790/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6443 (2.6674) Prec@1 46.875 (42.477) Prec@5 70.312 (67.614) Epoch: [23][9800/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6392 (2.6674) Prec@1 46.094 (42.478) Prec@5 67.969 (67.615) Epoch: [23][9810/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7604 (2.6673) Prec@1 40.625 (42.479) Prec@5 67.969 (67.616) Epoch: [23][9820/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7795 (2.6674) Prec@1 38.281 (42.479) Prec@5 65.625 (67.616) Epoch: [23][9830/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4461 (2.6674) Prec@1 43.750 (42.480) Prec@5 72.656 (67.617) Epoch: [23][9840/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8070 (2.6674) Prec@1 42.188 (42.479) Prec@5 64.844 (67.617) Epoch: [23][9850/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0131 (2.6673) Prec@1 35.156 (42.481) Prec@5 60.156 (67.619) Epoch: [23][9860/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6258 (2.6673) Prec@1 44.531 (42.482) Prec@5 71.094 (67.619) Epoch: [23][9870/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8489 (2.6674) Prec@1 41.406 (42.481) Prec@5 67.969 (67.617) Epoch: [23][9880/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5527 (2.6675) Prec@1 36.719 (42.478) Prec@5 66.406 (67.615) Epoch: [23][9890/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4803 (2.6675) Prec@1 44.531 (42.477) Prec@5 71.094 (67.616) Epoch: [23][9900/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5343 (2.6675) Prec@1 49.219 (42.476) Prec@5 69.531 (67.615) Epoch: [23][9910/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0984 (2.6674) Prec@1 52.344 (42.477) Prec@5 76.562 (67.617) Epoch: [23][9920/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.0569 (2.6673) Prec@1 54.688 (42.478) Prec@5 77.344 (67.618) Epoch: [23][9930/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5719 (2.6673) Prec@1 42.969 (42.481) Prec@5 74.219 (67.619) Epoch: [23][9940/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8540 (2.6672) Prec@1 39.844 (42.483) Prec@5 64.062 (67.620) Epoch: [23][9950/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5861 (2.6671) Prec@1 42.188 (42.483) Prec@5 70.312 (67.621) Epoch: [23][9960/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4034 (2.6671) Prec@1 48.438 (42.483) Prec@5 72.656 (67.621) Epoch: [23][9970/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5693 (2.6671) Prec@1 41.406 (42.484) Prec@5 69.531 (67.622) Epoch: [23][9980/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9900 (2.6672) Prec@1 35.938 (42.481) Prec@5 63.281 (67.622) Epoch: [23][9990/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.6466 (2.6673) Prec@1 46.094 (42.482) Prec@5 64.844 (67.620) Epoch: [23][10000/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6162 (2.6673) Prec@1 39.062 (42.480) Prec@5 66.406 (67.619) Test: [0/391] Time 1.564 (1.564) Loss 1.3028 (1.3028) Prec@1 67.188 (67.188) Prec@5 89.844 (89.844) Test: [10/391] Time 0.101 (0.245) Loss 2.2386 (1.7477) Prec@1 46.875 (59.446) Prec@5 84.375 (82.599) Test: [20/391] Time 0.110 (0.179) Loss 1.3378 (2.0384) Prec@1 68.750 (53.199) Prec@5 86.719 (79.204) Test: [30/391] Time 0.195 (0.158) Loss 2.3746 (2.2024) Prec@1 50.781 (48.992) Prec@5 80.469 (78.175) Test: [40/391] Time 0.098 (0.145) Loss 2.5888 (2.0396) Prec@1 38.281 (52.725) Prec@5 65.625 (79.630) Test: [50/391] Time 0.107 (0.137) Loss 1.4676 (2.1210) Prec@1 61.719 (51.562) Prec@5 85.938 (78.309) Test: [60/391] Time 0.102 (0.132) Loss 3.0450 (2.0882) Prec@1 27.344 (52.523) Prec@5 62.500 (78.522) Test: [70/391] Time 0.103 (0.128) Loss 3.1371 (2.1676) Prec@1 26.562 (50.253) Prec@5 63.281 (77.344) Test: [80/391] Time 0.101 (0.125) Loss 3.1814 (2.2392) Prec@1 26.562 (48.110) Prec@5 57.031 (76.128) Test: [90/391] Time 0.106 (0.123) Loss 1.8803 (2.2486) Prec@1 46.875 (47.622) Prec@5 83.594 (75.944) Test: [100/391] Time 0.109 (0.121) Loss 2.6510 (2.2395) Prec@1 33.594 (47.084) Prec@5 62.500 (75.975) Test: [110/391] Time 0.108 (0.120) Loss 2.0025 (2.2405) Prec@1 47.656 (46.938) Prec@5 85.156 (76.091) Test: [120/391] Time 0.104 (0.119) Loss 1.8645 (2.2210) Prec@1 46.094 (47.346) Prec@5 84.375 (76.459) Test: [130/391] Time 0.105 (0.118) Loss 2.0036 (2.2002) Prec@1 54.688 (47.895) Prec@5 78.125 (76.706) Test: [140/391] Time 0.103 (0.117) Loss 3.2670 (2.2153) Prec@1 30.469 (47.784) Prec@5 59.375 (76.441) Test: [150/391] Time 0.101 (0.116) Loss 1.7259 (2.2086) Prec@1 46.875 (47.734) Prec@5 86.719 (76.500) Test: [160/391] Time 0.107 (0.116) Loss 2.5686 (2.2140) Prec@1 38.281 (47.816) Prec@5 67.969 (76.412) Test: [170/391] Time 0.107 (0.115) Loss 2.5417 (2.2617) Prec@1 36.719 (47.186) Prec@5 78.906 (75.704) Test: [180/391] Time 0.106 (0.115) Loss 3.6843 (2.3025) Prec@1 25.781 (46.599) Prec@5 53.906 (74.996) Test: [190/391] Time 0.108 (0.114) Loss 3.3722 (2.3266) Prec@1 32.031 (46.486) Prec@5 64.844 (74.681) Test: [200/391] Time 0.101 (0.114) Loss 2.6468 (2.3679) Prec@1 35.938 (45.954) Prec@5 67.188 (74.067) Test: [210/391] Time 0.101 (0.113) Loss 2.5522 (2.3947) Prec@1 47.656 (45.572) Prec@5 69.531 (73.597) Test: [220/391] Time 0.107 (0.113) Loss 1.4836 (2.4041) Prec@1 64.844 (45.521) Prec@5 83.594 (73.289) Test: [230/391] Time 0.109 (0.113) Loss 3.2942 (2.4204) Prec@1 29.688 (45.302) Prec@5 54.688 (72.944) Test: [240/391] Time 0.107 (0.113) Loss 2.6153 (2.4243) Prec@1 48.438 (45.361) Prec@5 71.094 (72.825) Test: [250/391] Time 0.103 (0.112) Loss 2.3867 (2.4515) Prec@1 53.125 (44.983) Prec@5 71.875 (72.460) Test: [260/391] Time 0.166 (0.112) Loss 2.8981 (2.4665) Prec@1 35.156 (44.657) Prec@5 64.844 (72.276) Test: [270/391] Time 0.099 (0.112) Loss 3.5685 (2.4852) Prec@1 24.219 (44.433) Prec@5 55.469 (71.910) Test: [280/391] Time 0.106 (0.112) Loss 2.6975 (2.4950) Prec@1 32.812 (44.339) Prec@5 66.406 (71.772) Test: [290/391] Time 0.100 (0.112) Loss 2.4725 (2.5174) Prec@1 39.062 (44.102) Prec@5 73.438 (71.362) Test: [300/391] Time 0.105 (0.111) Loss 2.4975 (2.5310) Prec@1 55.469 (43.963) Prec@5 74.219 (71.133) Test: [310/391] Time 0.102 (0.111) Loss 3.4325 (2.5414) Prec@1 35.156 (43.845) Prec@5 57.812 (70.935) Test: [320/391] Time 0.103 (0.111) Loss 2.0167 (2.5493) Prec@1 50.781 (43.696) Prec@5 79.688 (70.814) Test: [330/391] Time 0.106 (0.111) Loss 3.0346 (2.5719) Prec@1 33.594 (43.328) Prec@5 60.938 (70.464) Test: [340/391] Time 0.102 (0.111) Loss 2.1901 (2.5753) Prec@1 39.062 (43.239) Prec@5 78.125 (70.345) Test: [350/391] Time 0.103 (0.110) Loss 2.5129 (2.5838) Prec@1 46.875 (43.138) Prec@5 75.000 (70.215) Test: [360/391] Time 0.107 (0.110) Loss 2.1348 (2.5913) Prec@1 49.219 (43.086) Prec@5 75.000 (70.077) Test: [370/391] Time 0.109 (0.110) Loss 2.0842 (2.5851) Prec@1 47.656 (43.228) Prec@5 81.250 (70.186) Test: [380/391] Time 0.101 (0.110) Loss 2.2680 (2.5934) Prec@1 47.656 (43.112) Prec@5 75.000 (70.071) Test: [390/391] Time 0.069 (0.110) Loss 4.3448 (2.5789) Prec@1 20.000 (43.446) Prec@5 51.250 (70.292) * Prec@1 43.446 Prec@5 70.292 Epoch: [24][0/10010] Time 2.521 (2.521) Data 2.351 (2.351) Loss 2.6162 (2.6162) Prec@1 42.188 (42.188) Prec@5 64.844 (64.844) Epoch: [24][10/10010] Time 0.320 (0.528) Data 0.000 (0.236) Loss 2.9664 (2.7470) Prec@1 36.719 (41.477) Prec@5 57.812 (66.122) Epoch: [24][20/10010] Time 0.320 (0.430) Data 0.000 (0.124) Loss 2.7801 (2.6735) Prec@1 41.406 (41.927) Prec@5 64.844 (67.336) Epoch: [24][30/10010] Time 0.316 (0.395) Data 0.001 (0.084) Loss 2.5862 (2.6303) Prec@1 46.094 (42.692) Prec@5 68.750 (68.523) Epoch: [24][40/10010] Time 0.342 (0.377) Data 0.001 (0.064) Loss 2.7773 (2.6034) Prec@1 45.312 (42.931) Prec@5 66.406 (69.036) Epoch: [24][50/10010] Time 0.344 (0.369) Data 0.001 (0.051) Loss 2.6180 (2.6200) Prec@1 42.188 (42.800) Prec@5 69.531 (68.750) Epoch: [24][60/10010] Time 0.323 (0.362) Data 0.000 (0.043) Loss 3.0024 (2.6166) Prec@1 37.500 (43.161) Prec@5 57.812 (68.596) Epoch: [24][70/10010] Time 0.332 (0.359) Data 0.001 (0.037) Loss 2.9417 (2.6184) Prec@1 39.062 (43.101) Prec@5 61.719 (68.541) Epoch: [24][80/10010] Time 0.330 (0.354) Data 0.001 (0.033) Loss 2.7119 (2.6150) Prec@1 44.531 (43.104) Prec@5 64.062 (68.509) Epoch: [24][90/10010] Time 0.323 (0.351) Data 0.000 (0.029) Loss 2.7102 (2.6231) Prec@1 40.625 (42.960) Prec@5 64.844 (68.492) Epoch: [24][100/10010] Time 0.314 (0.348) Data 0.000 (0.026) Loss 2.5522 (2.6400) Prec@1 47.656 (42.528) Prec@5 71.094 (68.224) Epoch: [24][110/10010] Time 0.338 (0.347) Data 0.000 (0.024) Loss 2.7791 (2.6347) Prec@1 39.844 (42.589) Prec@5 63.281 (68.335) Epoch: [24][120/10010] Time 0.331 (0.346) Data 0.001 (0.022) Loss 2.3404 (2.6469) Prec@1 50.000 (42.504) Prec@5 78.906 (68.162) Epoch: [24][130/10010] Time 0.325 (0.345) Data 0.001 (0.020) Loss 2.5061 (2.6485) Prec@1 42.188 (42.498) Prec@5 67.188 (68.207) Epoch: [24][140/10010] Time 0.321 (0.344) Data 0.000 (0.019) Loss 2.8594 (2.6577) Prec@1 42.188 (42.409) Prec@5 64.844 (68.068) Epoch: [24][150/10010] Time 0.322 (0.344) Data 0.000 (0.018) Loss 3.1403 (2.6580) Prec@1 39.062 (42.353) Prec@5 61.719 (68.083) Epoch: [24][160/10010] Time 0.341 (0.343) Data 0.000 (0.017) Loss 2.6065 (2.6523) Prec@1 42.969 (42.488) Prec@5 66.406 (68.192) Epoch: [24][170/10010] Time 0.319 (0.343) Data 0.001 (0.016) Loss 2.2352 (2.6405) Prec@1 46.094 (42.704) Prec@5 75.781 (68.321) Epoch: [24][180/10010] Time 0.338 (0.342) Data 0.000 (0.015) Loss 2.8473 (2.6412) Prec@1 38.281 (42.658) Prec@5 71.094 (68.297) Epoch: [24][190/10010] Time 0.322 (0.341) Data 0.000 (0.014) Loss 2.7110 (2.6398) Prec@1 38.281 (42.621) Prec@5 64.844 (68.325) Epoch: [24][200/10010] Time 0.317 (0.341) Data 0.000 (0.013) Loss 2.6403 (2.6385) Prec@1 41.406 (42.565) Prec@5 67.969 (68.350) Epoch: [24][210/10010] Time 0.326 (0.341) Data 0.001 (0.013) Loss 2.5849 (2.6420) Prec@1 46.875 (42.606) Prec@5 68.750 (68.254) Epoch: [24][220/10010] Time 0.321 (0.340) Data 0.001 (0.012) Loss 2.5599 (2.6385) Prec@1 47.656 (42.686) Prec@5 71.875 (68.305) Epoch: [24][230/10010] Time 0.337 (0.339) Data 0.000 (0.012) Loss 2.8007 (2.6410) Prec@1 39.844 (42.729) Prec@5 67.188 (68.290) Epoch: [24][240/10010] Time 0.321 (0.339) Data 0.001 (0.011) Loss 2.2695 (2.6401) Prec@1 51.562 (42.719) Prec@5 76.562 (68.286) Epoch: [24][250/10010] Time 0.344 (0.339) Data 0.001 (0.011) Loss 2.5289 (2.6395) Prec@1 44.531 (42.670) Prec@5 72.656 (68.308) Epoch: [24][260/10010] Time 0.323 (0.338) Data 0.000 (0.010) Loss 2.5596 (2.6403) Prec@1 40.625 (42.669) Prec@5 74.219 (68.277) Epoch: [24][270/10010] Time 0.326 (0.338) Data 0.000 (0.010) Loss 2.6705 (2.6399) Prec@1 41.406 (42.631) Prec@5 67.188 (68.312) Epoch: [24][280/10010] Time 0.334 (0.337) Data 0.000 (0.010) Loss 2.5515 (2.6403) Prec@1 42.969 (42.574) Prec@5 71.094 (68.319) Epoch: [24][290/10010] Time 0.336 (0.337) Data 0.000 (0.009) Loss 2.6363 (2.6407) Prec@1 46.094 (42.545) Prec@5 66.406 (68.277) Epoch: [24][300/10010] Time 0.338 (0.337) Data 0.000 (0.009) Loss 2.2292 (2.6367) Prec@1 50.781 (42.600) Prec@5 73.438 (68.358) Epoch: [24][310/10010] Time 0.328 (0.337) Data 0.000 (0.009) Loss 2.7432 (2.6367) Prec@1 42.188 (42.695) Prec@5 64.844 (68.361) Epoch: [24][320/10010] Time 0.319 (0.336) Data 0.001 (0.009) Loss 2.5556 (2.6399) Prec@1 47.656 (42.657) Prec@5 67.969 (68.273) Epoch: [24][330/10010] Time 0.332 (0.336) Data 0.000 (0.008) Loss 2.5626 (2.6399) Prec@1 43.750 (42.664) Prec@5 68.750 (68.257) Epoch: [24][340/10010] Time 0.328 (0.336) Data 0.000 (0.008) Loss 2.3167 (2.6360) Prec@1 46.094 (42.717) Prec@5 75.000 (68.319) Epoch: [24][350/10010] Time 0.329 (0.336) Data 0.000 (0.008) Loss 2.5485 (2.6370) Prec@1 50.000 (42.704) Prec@5 73.438 (68.314) Epoch: [24][360/10010] Time 0.346 (0.335) Data 0.001 (0.008) Loss 2.3264 (2.6366) Prec@1 47.656 (42.677) Prec@5 73.438 (68.330) Epoch: [24][370/10010] Time 0.334 (0.335) Data 0.001 (0.008) Loss 3.0035 (2.6386) Prec@1 42.188 (42.634) Prec@5 59.375 (68.287) Epoch: [24][380/10010] Time 0.338 (0.335) Data 0.000 (0.007) Loss 2.2174 (2.6369) Prec@1 46.094 (42.700) Prec@5 73.438 (68.289) Epoch: [24][390/10010] Time 0.319 (0.335) Data 0.001 (0.007) Loss 2.5545 (2.6374) Prec@1 41.406 (42.677) Prec@5 64.844 (68.270) Epoch: [24][400/10010] Time 0.319 (0.335) Data 0.001 (0.007) Loss 2.2877 (2.6360) Prec@1 46.875 (42.677) Prec@5 75.781 (68.284) Epoch: [24][410/10010] Time 0.325 (0.335) Data 0.001 (0.007) Loss 2.8624 (2.6402) Prec@1 37.500 (42.628) Prec@5 64.844 (68.197) Epoch: [24][420/10010] Time 0.325 (0.334) Data 0.000 (0.007) Loss 2.5086 (2.6403) Prec@1 48.438 (42.653) Prec@5 67.969 (68.178) Epoch: [24][430/10010] Time 0.326 (0.334) Data 0.000 (0.007) Loss 2.6086 (2.6425) Prec@1 48.438 (42.655) Prec@5 70.312 (68.143) Epoch: [24][440/10010] Time 0.318 (0.334) Data 0.001 (0.006) Loss 2.7942 (2.6428) Prec@1 39.062 (42.668) Prec@5 68.750 (68.146) Epoch: [24][450/10010] Time 0.325 (0.334) Data 0.001 (0.006) Loss 2.4490 (2.6438) Prec@1 46.875 (42.678) Prec@5 67.969 (68.133) Epoch: [24][460/10010] Time 0.336 (0.334) Data 0.001 (0.006) Loss 2.4766 (2.6430) Prec@1 43.750 (42.684) Prec@5 68.750 (68.143) Epoch: [24][470/10010] Time 0.337 (0.334) Data 0.001 (0.006) Loss 2.7607 (2.6447) Prec@1 39.062 (42.662) Prec@5 65.625 (68.105) Epoch: [24][480/10010] Time 0.332 (0.334) Data 0.001 (0.006) Loss 2.7379 (2.6447) Prec@1 43.750 (42.667) Prec@5 64.062 (68.079) Epoch: [24][490/10010] Time 0.342 (0.334) Data 0.000 (0.006) Loss 2.5729 (2.6449) Prec@1 43.750 (42.657) Prec@5 67.188 (68.055) Epoch: [24][500/10010] Time 0.326 (0.334) Data 0.000 (0.006) Loss 2.3435 (2.6445) Prec@1 46.875 (42.635) Prec@5 71.094 (68.033) Epoch: [24][510/10010] Time 0.326 (0.333) Data 0.001 (0.006) Loss 2.9061 (2.6450) Prec@1 40.625 (42.643) Prec@5 66.406 (68.039) Epoch: [24][520/10010] Time 0.323 (0.333) Data 0.000 (0.006) Loss 2.9433 (2.6455) Prec@1 35.156 (42.616) Prec@5 59.375 (68.045) Epoch: [24][530/10010] Time 0.318 (0.333) Data 0.000 (0.005) Loss 2.8502 (2.6474) Prec@1 35.156 (42.586) Prec@5 67.969 (68.006) Epoch: [24][540/10010] Time 0.337 (0.333) Data 0.001 (0.005) Loss 2.3195 (2.6466) Prec@1 46.094 (42.585) Prec@5 71.094 (68.012) Epoch: [24][550/10010] Time 0.324 (0.333) Data 0.000 (0.005) Loss 2.5265 (2.6492) Prec@1 42.188 (42.548) Prec@5 67.969 (67.945) Epoch: [24][560/10010] Time 0.330 (0.333) Data 0.001 (0.005) Loss 3.0397 (2.6504) Prec@1 36.719 (42.569) Prec@5 67.969 (67.945) Epoch: [24][570/10010] Time 0.329 (0.333) Data 0.000 (0.005) Loss 2.5554 (2.6494) Prec@1 44.531 (42.573) Prec@5 69.531 (67.950) Epoch: [24][580/10010] Time 0.339 (0.333) Data 0.000 (0.005) Loss 2.6818 (2.6502) Prec@1 42.969 (42.560) Prec@5 68.750 (67.947) Epoch: [24][590/10010] Time 0.327 (0.333) Data 0.001 (0.005) Loss 2.7857 (2.6510) Prec@1 38.281 (42.538) Prec@5 61.719 (67.934) Epoch: [24][600/10010] Time 0.313 (0.333) Data 0.001 (0.005) Loss 2.5261 (2.6523) Prec@1 43.750 (42.516) Prec@5 71.094 (67.915) Epoch: [24][610/10010] Time 0.329 (0.333) Data 0.000 (0.005) Loss 2.9045 (2.6560) Prec@1 40.625 (42.468) Prec@5 61.719 (67.856) Epoch: [24][620/10010] Time 0.325 (0.333) Data 0.001 (0.005) Loss 2.5687 (2.6557) Prec@1 37.500 (42.463) Prec@5 71.094 (67.864) Epoch: [24][630/10010] Time 0.344 (0.333) Data 0.001 (0.005) Loss 2.9137 (2.6559) Prec@1 38.281 (42.476) Prec@5 66.406 (67.852) Epoch: [24][640/10010] Time 0.339 (0.333) Data 0.000 (0.005) Loss 2.4961 (2.6546) Prec@1 45.312 (42.502) Prec@5 71.094 (67.875) Epoch: [24][650/10010] Time 0.329 (0.333) Data 0.000 (0.005) Loss 2.5194 (2.6548) Prec@1 42.188 (42.488) Prec@5 74.219 (67.873) Epoch: [24][660/10010] Time 0.332 (0.332) Data 0.000 (0.004) Loss 2.6563 (2.6548) Prec@1 40.625 (42.487) Prec@5 64.062 (67.854) Epoch: [24][670/10010] Time 0.341 (0.332) Data 0.001 (0.004) Loss 2.4270 (2.6538) Prec@1 51.562 (42.497) Prec@5 68.750 (67.872) Epoch: [24][680/10010] Time 0.317 (0.332) Data 0.001 (0.004) Loss 2.9966 (2.6529) Prec@1 35.938 (42.512) Prec@5 62.500 (67.900) Epoch: [24][690/10010] Time 0.329 (0.332) Data 0.000 (0.004) Loss 2.7006 (2.6521) Prec@1 41.406 (42.506) Prec@5 71.875 (67.919) Epoch: [24][700/10010] Time 0.316 (0.332) Data 0.000 (0.004) Loss 2.7948 (2.6515) Prec@1 44.531 (42.537) Prec@5 68.750 (67.917) Epoch: [24][710/10010] Time 0.340 (0.332) Data 0.001 (0.004) Loss 2.7380 (2.6520) Prec@1 39.844 (42.527) Prec@5 65.625 (67.898) Epoch: [24][720/10010] Time 0.318 (0.332) Data 0.004 (0.004) Loss 2.2449 (2.6505) Prec@1 42.969 (42.541) Prec@5 72.656 (67.923) Epoch: [24][730/10010] Time 0.340 (0.332) Data 0.001 (0.004) Loss 2.5853 (2.6505) Prec@1 45.312 (42.521) Prec@5 67.969 (67.931) Epoch: [24][740/10010] Time 0.331 (0.332) Data 0.001 (0.004) Loss 2.9190 (2.6499) Prec@1 40.625 (42.515) Prec@5 64.844 (67.936) Epoch: [24][750/10010] Time 0.334 (0.332) Data 0.001 (0.004) Loss 2.8694 (2.6497) Prec@1 44.531 (42.525) Prec@5 60.156 (67.932) Epoch: [24][760/10010] Time 0.327 (0.332) Data 0.000 (0.004) Loss 2.4273 (2.6487) Prec@1 45.312 (42.550) Prec@5 71.094 (67.940) Epoch: [24][770/10010] Time 0.341 (0.332) Data 0.000 (0.004) Loss 2.4718 (2.6470) Prec@1 46.875 (42.591) Prec@5 71.094 (67.983) Epoch: [24][780/10010] Time 0.324 (0.332) Data 0.001 (0.004) Loss 2.7692 (2.6476) Prec@1 45.312 (42.597) Prec@5 67.969 (67.980) Epoch: [24][790/10010] Time 0.331 (0.332) Data 0.001 (0.004) Loss 2.2961 (2.6480) Prec@1 46.875 (42.591) Prec@5 76.562 (67.996) Epoch: [24][800/10010] Time 0.316 (0.332) Data 0.001 (0.004) Loss 2.7760 (2.6484) Prec@1 39.062 (42.610) Prec@5 67.969 (67.998) Epoch: [24][810/10010] Time 0.344 (0.332) Data 0.000 (0.004) Loss 2.6431 (2.6489) Prec@1 41.406 (42.609) Prec@5 67.969 (67.988) Epoch: [24][820/10010] Time 0.330 (0.332) Data 0.001 (0.004) Loss 2.5181 (2.6483) Prec@1 53.125 (42.651) Prec@5 73.438 (68.007) Epoch: [24][830/10010] Time 0.322 (0.332) Data 0.000 (0.004) Loss 2.8780 (2.6482) Prec@1 34.375 (42.634) Prec@5 64.062 (68.010) Epoch: [24][840/10010] Time 0.335 (0.332) Data 0.000 (0.004) Loss 2.2697 (2.6467) Prec@1 53.125 (42.672) Prec@5 75.781 (68.045) Epoch: [24][850/10010] Time 0.335 (0.332) Data 0.000 (0.004) Loss 2.6003 (2.6462) Prec@1 44.531 (42.687) Prec@5 71.094 (68.054) Epoch: [24][860/10010] Time 0.323 (0.332) Data 0.000 (0.004) Loss 2.4059 (2.6451) Prec@1 47.656 (42.712) Prec@5 74.219 (68.072) Epoch: [24][870/10010] Time 0.330 (0.332) Data 0.000 (0.004) Loss 2.9429 (2.6462) Prec@1 38.281 (42.685) Prec@5 67.188 (68.063) Epoch: [24][880/10010] Time 0.324 (0.332) Data 0.001 (0.004) Loss 2.6019 (2.6459) Prec@1 50.781 (42.704) Prec@5 71.875 (68.073) Epoch: [24][890/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 2.5226 (2.6438) Prec@1 46.875 (42.743) Prec@5 66.406 (68.088) Epoch: [24][900/10010] Time 0.314 (0.332) Data 0.001 (0.003) Loss 2.6067 (2.6434) Prec@1 41.406 (42.737) Prec@5 64.062 (68.081) Epoch: [24][910/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 3.1323 (2.6433) Prec@1 36.719 (42.748) Prec@5 60.938 (68.080) Epoch: [24][920/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 2.8854 (2.6446) Prec@1 41.406 (42.718) Prec@5 60.938 (68.039) Epoch: [24][930/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.5042 (2.6444) Prec@1 44.531 (42.736) Prec@5 67.188 (68.035) Epoch: [24][940/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.3561 (2.6451) Prec@1 47.656 (42.739) Prec@5 73.438 (68.031) Epoch: [24][950/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 2.5586 (2.6446) Prec@1 46.875 (42.751) Prec@5 72.656 (68.045) Epoch: [24][960/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 2.8182 (2.6449) Prec@1 41.406 (42.749) Prec@5 66.406 (68.043) Epoch: [24][970/10010] Time 0.317 (0.332) Data 0.000 (0.003) Loss 2.5713 (2.6450) Prec@1 42.969 (42.743) Prec@5 72.656 (68.036) Epoch: [24][980/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.2433 (2.6446) Prec@1 48.438 (42.745) Prec@5 75.781 (68.048) Epoch: [24][990/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.5554 (2.6443) Prec@1 39.844 (42.746) Prec@5 71.094 (68.058) Epoch: [24][1000/10010] Time 0.328 (0.332) Data 0.002 (0.003) Loss 2.7855 (2.6436) Prec@1 41.406 (42.750) Prec@5 66.406 (68.066) Epoch: [24][1010/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.9371 (2.6437) Prec@1 35.156 (42.746) Prec@5 65.625 (68.063) Epoch: [24][1020/10010] Time 0.333 (0.332) Data 0.000 (0.003) Loss 2.7567 (2.6438) Prec@1 42.188 (42.759) Prec@5 67.969 (68.054) Epoch: [24][1030/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 2.4828 (2.6438) Prec@1 45.312 (42.763) Prec@5 71.875 (68.060) Epoch: [24][1040/10010] Time 0.316 (0.332) Data 0.000 (0.003) Loss 2.7397 (2.6443) Prec@1 38.281 (42.741) Prec@5 67.188 (68.045) Epoch: [24][1050/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 2.3395 (2.6450) Prec@1 49.219 (42.722) Prec@5 71.875 (68.031) /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: [24][1060/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 2.5091 (2.6454) Prec@1 43.750 (42.722) Prec@5 75.781 (68.023) Epoch: [24][1070/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.3807 (2.6451) Prec@1 48.438 (42.727) Prec@5 71.875 (68.020) Epoch: [24][1080/10010] Time 0.325 (0.332) Data 0.000 (0.003) Loss 2.8050 (2.6460) Prec@1 39.844 (42.709) Prec@5 70.312 (68.005) Epoch: [24][1090/10010] Time 0.319 (0.332) Data 0.001 (0.003) Loss 2.6518 (2.6464) Prec@1 40.625 (42.694) Prec@5 67.969 (67.992) Epoch: [24][1100/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.6403 (2.6463) Prec@1 37.500 (42.703) Prec@5 69.531 (67.994) Epoch: [24][1110/10010] Time 0.323 (0.331) Data 0.000 (0.003) Loss 2.6201 (2.6462) Prec@1 43.750 (42.716) Prec@5 65.625 (67.982) Epoch: [24][1120/10010] Time 0.330 (0.331) Data 0.000 (0.003) Loss 2.4319 (2.6464) Prec@1 42.969 (42.707) Prec@5 69.531 (67.980) Epoch: [24][1130/10010] Time 0.342 (0.331) Data 0.000 (0.003) Loss 2.2984 (2.6457) Prec@1 53.125 (42.711) Prec@5 71.094 (67.988) Epoch: [24][1140/10010] Time 0.325 (0.331) Data 0.000 (0.003) Loss 2.7878 (2.6459) Prec@1 39.062 (42.694) Prec@5 61.719 (67.987) Epoch: [24][1150/10010] Time 0.334 (0.331) Data 0.001 (0.003) Loss 2.4710 (2.6453) Prec@1 49.219 (42.711) Prec@5 72.656 (67.996) Epoch: [24][1160/10010] Time 0.309 (0.331) Data 0.001 (0.003) Loss 2.5335 (2.6444) Prec@1 47.656 (42.726) Prec@5 68.750 (68.006) Epoch: [24][1170/10010] Time 0.338 (0.331) Data 0.001 (0.003) Loss 2.3708 (2.6443) Prec@1 42.969 (42.724) Prec@5 69.531 (68.007) Epoch: [24][1180/10010] Time 0.319 (0.331) Data 0.001 (0.003) Loss 2.5127 (2.6446) Prec@1 46.875 (42.738) Prec@5 66.406 (67.987) Epoch: [24][1190/10010] Time 0.324 (0.331) Data 0.001 (0.003) Loss 2.5898 (2.6443) Prec@1 36.719 (42.744) Prec@5 71.094 (67.986) Epoch: [24][1200/10010] Time 0.333 (0.331) Data 0.000 (0.003) Loss 2.5387 (2.6441) Prec@1 42.188 (42.750) Prec@5 70.312 (67.984) Epoch: [24][1210/10010] Time 0.345 (0.331) Data 0.000 (0.003) Loss 2.6654 (2.6445) Prec@1 41.406 (42.735) Prec@5 67.969 (67.984) Epoch: [24][1220/10010] Time 0.333 (0.331) Data 0.000 (0.003) Loss 2.2650 (2.6451) Prec@1 53.125 (42.722) Prec@5 74.219 (67.957) Epoch: [24][1230/10010] Time 0.329 (0.331) Data 0.001 (0.003) Loss 3.0164 (2.6457) Prec@1 38.281 (42.707) Prec@5 64.844 (67.943) Epoch: [24][1240/10010] Time 0.319 (0.331) Data 0.001 (0.003) Loss 2.5877 (2.6449) Prec@1 40.625 (42.719) Prec@5 71.094 (67.966) Epoch: [24][1250/10010] Time 0.321 (0.331) Data 0.001 (0.003) Loss 2.7127 (2.6453) Prec@1 37.500 (42.708) Prec@5 66.406 (67.957) Epoch: [24][1260/10010] Time 0.328 (0.331) Data 0.000 (0.003) Loss 2.4864 (2.6450) Prec@1 50.781 (42.728) Prec@5 72.656 (67.967) Epoch: [24][1270/10010] Time 0.341 (0.331) Data 0.000 (0.003) Loss 2.5333 (2.6454) Prec@1 44.531 (42.720) Prec@5 69.531 (67.962) Epoch: [24][1280/10010] Time 0.326 (0.331) Data 0.000 (0.003) Loss 2.7715 (2.6465) Prec@1 38.281 (42.703) Prec@5 65.625 (67.941) Epoch: [24][1290/10010] Time 0.329 (0.331) Data 0.000 (0.003) Loss 2.5430 (2.6466) Prec@1 46.875 (42.720) Prec@5 64.844 (67.923) Epoch: [24][1300/10010] Time 0.325 (0.331) Data 0.001 (0.003) Loss 2.3506 (2.6467) Prec@1 46.875 (42.708) Prec@5 69.531 (67.918) Epoch: [24][1310/10010] Time 0.326 (0.331) Data 0.001 (0.003) Loss 2.5469 (2.6462) Prec@1 46.094 (42.721) Prec@5 67.188 (67.931) Epoch: [24][1320/10010] Time 0.327 (0.331) Data 0.000 (0.003) Loss 2.5626 (2.6461) Prec@1 46.094 (42.725) Prec@5 71.094 (67.931) Epoch: [24][1330/10010] Time 0.336 (0.331) Data 0.000 (0.003) Loss 2.8313 (2.6467) Prec@1 40.625 (42.720) Prec@5 65.625 (67.928) Epoch: [24][1340/10010] Time 0.334 (0.331) Data 0.001 (0.003) Loss 2.3797 (2.6466) Prec@1 46.875 (42.719) Prec@5 72.656 (67.924) Epoch: [24][1350/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.4139 (2.6468) Prec@1 40.625 (42.715) Prec@5 69.531 (67.914) Epoch: [24][1360/10010] Time 0.347 (0.331) Data 0.000 (0.002) Loss 2.8276 (2.6477) Prec@1 35.938 (42.697) Prec@5 67.188 (67.893) Epoch: [24][1370/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.7669 (2.6474) Prec@1 42.969 (42.707) Prec@5 61.719 (67.907) Epoch: [24][1380/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 3.0272 (2.6478) Prec@1 38.281 (42.711) Prec@5 59.375 (67.889) Epoch: [24][1390/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.7809 (2.6486) Prec@1 38.281 (42.695) Prec@5 65.625 (67.875) Epoch: [24][1400/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.6164 (2.6489) Prec@1 43.750 (42.688) Prec@5 67.188 (67.876) Epoch: [24][1410/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.3400 (2.6486) Prec@1 51.562 (42.700) Prec@5 72.656 (67.880) Epoch: [24][1420/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.5940 (2.6485) Prec@1 43.750 (42.709) Prec@5 68.750 (67.881) Epoch: [24][1430/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.8457 (2.6488) Prec@1 42.188 (42.705) Prec@5 66.406 (67.876) Epoch: [24][1440/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.7200 (2.6484) Prec@1 48.438 (42.713) Prec@5 69.531 (67.891) Epoch: [24][1450/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 2.4749 (2.6475) Prec@1 48.438 (42.735) Prec@5 71.094 (67.907) Epoch: [24][1460/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.6164 (2.6475) Prec@1 42.188 (42.737) Prec@5 68.750 (67.905) Epoch: [24][1470/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.8527 (2.6479) Prec@1 38.281 (42.729) Prec@5 66.406 (67.897) Epoch: [24][1480/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.9993 (2.6480) Prec@1 38.281 (42.729) Prec@5 57.812 (67.889) Epoch: [24][1490/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.7612 (2.6487) Prec@1 45.312 (42.725) Prec@5 66.406 (67.880) Epoch: [24][1500/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 2.8805 (2.6491) Prec@1 42.188 (42.715) Prec@5 66.406 (67.873) Epoch: [24][1510/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.5294 (2.6499) Prec@1 48.438 (42.700) Prec@5 67.188 (67.863) Epoch: [24][1520/10010] Time 0.345 (0.331) Data 0.001 (0.002) Loss 2.5795 (2.6498) Prec@1 44.531 (42.695) Prec@5 67.969 (67.870) Epoch: [24][1530/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.6675 (2.6499) Prec@1 35.938 (42.693) Prec@5 68.750 (67.866) Epoch: [24][1540/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.8759 (2.6503) Prec@1 42.188 (42.680) Prec@5 60.156 (67.868) Epoch: [24][1550/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 2.5732 (2.6495) Prec@1 39.844 (42.689) Prec@5 71.875 (67.879) Epoch: [24][1560/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.6336 (2.6498) Prec@1 42.969 (42.684) Prec@5 68.750 (67.868) Epoch: [24][1570/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.7815 (2.6496) Prec@1 42.969 (42.693) Prec@5 71.875 (67.877) Epoch: [24][1580/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.8120 (2.6495) Prec@1 38.281 (42.697) Prec@5 65.625 (67.873) Epoch: [24][1590/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.6098 (2.6492) Prec@1 42.188 (42.695) Prec@5 69.531 (67.876) Epoch: [24][1600/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.5638 (2.6485) Prec@1 47.656 (42.709) Prec@5 71.875 (67.884) Epoch: [24][1610/10010] Time 0.345 (0.331) Data 0.001 (0.002) Loss 2.5885 (2.6481) Prec@1 43.750 (42.717) Prec@5 66.406 (67.889) Epoch: [24][1620/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.8916 (2.6481) Prec@1 39.844 (42.713) Prec@5 65.625 (67.888) Epoch: [24][1630/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.6242 (2.6485) Prec@1 40.625 (42.713) Prec@5 63.281 (67.876) Epoch: [24][1640/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.6822 (2.6489) Prec@1 43.750 (42.706) Prec@5 67.188 (67.870) Epoch: [24][1650/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.3588 (2.6488) Prec@1 47.656 (42.716) Prec@5 74.219 (67.869) Epoch: [24][1660/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.5155 (2.6486) Prec@1 45.312 (42.717) Prec@5 71.094 (67.872) Epoch: [24][1670/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.5570 (2.6497) Prec@1 42.188 (42.703) Prec@5 71.094 (67.849) Epoch: [24][1680/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.4606 (2.6495) Prec@1 48.438 (42.710) Prec@5 71.094 (67.853) Epoch: [24][1690/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.5867 (2.6495) Prec@1 42.969 (42.710) Prec@5 67.969 (67.854) Epoch: [24][1700/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 3.0731 (2.6499) Prec@1 38.281 (42.715) Prec@5 59.375 (67.847) Epoch: [24][1710/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.4765 (2.6501) Prec@1 44.531 (42.705) Prec@5 71.875 (67.852) Epoch: [24][1720/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.9864 (2.6503) Prec@1 28.125 (42.705) Prec@5 63.281 (67.843) Epoch: [24][1730/10010] Time 0.346 (0.331) Data 0.000 (0.002) Loss 2.5191 (2.6500) Prec@1 44.531 (42.713) Prec@5 69.531 (67.851) Epoch: [24][1740/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 3.2082 (2.6503) Prec@1 35.156 (42.705) Prec@5 57.812 (67.852) Epoch: [24][1750/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 3.0354 (2.6503) Prec@1 27.344 (42.703) Prec@5 62.500 (67.851) Epoch: [24][1760/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.4353 (2.6508) Prec@1 46.094 (42.695) Prec@5 73.438 (67.845) Epoch: [24][1770/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.5344 (2.6513) Prec@1 49.219 (42.687) Prec@5 69.531 (67.833) Epoch: [24][1780/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.7169 (2.6511) Prec@1 40.625 (42.681) Prec@5 65.625 (67.833) Epoch: [24][1790/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.4469 (2.6511) Prec@1 44.531 (42.676) Prec@5 70.312 (67.843) Epoch: [24][1800/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 2.2681 (2.6502) Prec@1 52.344 (42.693) Prec@5 75.000 (67.854) Epoch: [24][1810/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 3.0249 (2.6505) Prec@1 37.500 (42.700) Prec@5 60.938 (67.849) Epoch: [24][1820/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.4500 (2.6506) Prec@1 46.094 (42.701) Prec@5 75.781 (67.856) Epoch: [24][1830/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.6124 (2.6508) Prec@1 46.094 (42.697) Prec@5 66.406 (67.852) Epoch: [24][1840/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.7947 (2.6506) Prec@1 41.406 (42.698) Prec@5 62.500 (67.855) Epoch: [24][1850/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.7374 (2.6507) Prec@1 42.188 (42.702) Prec@5 66.406 (67.846) Epoch: [24][1860/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.8557 (2.6505) Prec@1 42.969 (42.702) Prec@5 62.500 (67.845) Epoch: [24][1870/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.4465 (2.6500) Prec@1 41.406 (42.697) Prec@5 75.000 (67.852) Epoch: [24][1880/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.9189 (2.6502) Prec@1 39.844 (42.702) Prec@5 62.500 (67.851) Epoch: [24][1890/10010] Time 0.315 (0.331) Data 0.000 (0.002) Loss 2.3129 (2.6499) Prec@1 50.781 (42.701) Prec@5 75.781 (67.857) Epoch: [24][1900/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.6921 (2.6497) Prec@1 49.219 (42.710) Prec@5 68.750 (67.861) Epoch: [24][1910/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.6427 (2.6499) Prec@1 46.875 (42.709) Prec@5 66.406 (67.849) Epoch: [24][1920/10010] Time 0.311 (0.331) Data 0.001 (0.002) Loss 2.5387 (2.6495) Prec@1 42.188 (42.711) Prec@5 67.188 (67.857) Epoch: [24][1930/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.9859 (2.6490) Prec@1 35.938 (42.715) Prec@5 64.844 (67.872) Epoch: [24][1940/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 3.1125 (2.6493) Prec@1 39.062 (42.708) Prec@5 58.594 (67.865) Epoch: [24][1950/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.6061 (2.6494) Prec@1 42.188 (42.706) Prec@5 70.312 (67.862) Epoch: [24][1960/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.4944 (2.6491) Prec@1 49.219 (42.714) Prec@5 74.219 (67.876) Epoch: [24][1970/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.1962 (2.6492) Prec@1 45.312 (42.716) Prec@5 76.562 (67.875) Epoch: [24][1980/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.4657 (2.6487) Prec@1 49.219 (42.733) Prec@5 67.969 (67.879) Epoch: [24][1990/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.6627 (2.6489) Prec@1 46.094 (42.725) Prec@5 68.750 (67.877) Epoch: [24][2000/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.5452 (2.6486) Prec@1 46.094 (42.736) Prec@5 70.312 (67.887) Epoch: [24][2010/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.4408 (2.6488) Prec@1 46.875 (42.727) Prec@5 74.219 (67.877) Epoch: [24][2020/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.8489 (2.6485) Prec@1 40.625 (42.730) Prec@5 65.625 (67.883) Epoch: [24][2030/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.7534 (2.6487) Prec@1 38.281 (42.728) Prec@5 67.188 (67.880) Epoch: [24][2040/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 2.6950 (2.6486) Prec@1 35.938 (42.727) Prec@5 70.312 (67.882) Epoch: [24][2050/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.8649 (2.6489) Prec@1 39.844 (42.717) Prec@5 64.844 (67.881) Epoch: [24][2060/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.8465 (2.6489) Prec@1 35.938 (42.714) Prec@5 67.188 (67.879) Epoch: [24][2070/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.8819 (2.6490) Prec@1 39.844 (42.713) Prec@5 60.938 (67.868) Epoch: [24][2080/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.6632 (2.6493) Prec@1 46.094 (42.714) Prec@5 67.188 (67.866) Epoch: [24][2090/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 2.3268 (2.6497) Prec@1 43.750 (42.711) Prec@5 71.875 (67.865) Epoch: [24][2100/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.7000 (2.6498) Prec@1 33.594 (42.708) Prec@5 69.531 (67.861) Epoch: [24][2110/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.9759 (2.6501) Prec@1 39.844 (42.705) Prec@5 60.938 (67.854) Epoch: [24][2120/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 2.3225 (2.6504) Prec@1 49.219 (42.704) Prec@5 75.781 (67.848) Epoch: [24][2130/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.6579 (2.6506) Prec@1 42.969 (42.696) Prec@5 68.750 (67.846) Epoch: [24][2140/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.3269 (2.6505) Prec@1 45.312 (42.697) Prec@5 73.438 (67.855) Epoch: [24][2150/10010] Time 0.314 (0.331) Data 0.001 (0.002) Loss 2.5415 (2.6504) Prec@1 46.094 (42.700) Prec@5 65.625 (67.860) Epoch: [24][2160/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 2.5017 (2.6506) Prec@1 43.750 (42.691) Prec@5 71.094 (67.857) Epoch: [24][2170/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.7617 (2.6507) Prec@1 42.188 (42.697) Prec@5 66.406 (67.863) Epoch: [24][2180/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.3669 (2.6508) Prec@1 47.656 (42.698) Prec@5 73.438 (67.857) Epoch: [24][2190/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.3452 (2.6506) Prec@1 46.094 (42.701) Prec@5 73.438 (67.863) Epoch: [24][2200/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.5938 (2.6506) Prec@1 43.750 (42.699) Prec@5 71.094 (67.868) Epoch: [24][2210/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 2.6136 (2.6500) Prec@1 43.750 (42.712) Prec@5 68.750 (67.875) Epoch: [24][2220/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.8894 (2.6500) Prec@1 36.719 (42.707) Prec@5 67.188 (67.881) Epoch: [24][2230/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.3511 (2.6497) Prec@1 46.875 (42.715) Prec@5 75.000 (67.890) Epoch: [24][2240/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.6522 (2.6498) Prec@1 41.406 (42.718) Prec@5 70.312 (67.888) Epoch: [24][2250/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.6006 (2.6502) Prec@1 44.531 (42.710) Prec@5 69.531 (67.881) Epoch: [24][2260/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.8026 (2.6504) Prec@1 43.750 (42.705) Prec@5 65.625 (67.878) Epoch: [24][2270/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.9567 (2.6506) Prec@1 39.844 (42.703) Prec@5 64.844 (67.870) Epoch: [24][2280/10010] Time 0.320 (0.330) Data 0.001 (0.002) Loss 3.0372 (2.6509) Prec@1 41.406 (42.705) Prec@5 61.719 (67.864) Epoch: [24][2290/10010] Time 0.333 (0.330) Data 0.001 (0.002) Loss 2.5712 (2.6510) Prec@1 43.750 (42.699) Prec@5 73.438 (67.858) Epoch: [24][2300/10010] Time 0.346 (0.331) Data 0.001 (0.002) Loss 2.6698 (2.6511) Prec@1 43.750 (42.694) Prec@5 67.969 (67.860) Epoch: [24][2310/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.4592 (2.6507) Prec@1 39.062 (42.696) Prec@5 71.094 (67.865) Epoch: [24][2320/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.7122 (2.6508) Prec@1 40.625 (42.698) Prec@5 66.406 (67.860) Epoch: [24][2330/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.9000 (2.6513) Prec@1 35.938 (42.692) Prec@5 60.156 (67.849) Epoch: [24][2340/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.3500 (2.6511) Prec@1 51.562 (42.694) Prec@5 75.000 (67.857) Epoch: [24][2350/10010] Time 0.332 (0.330) Data 0.000 (0.002) Loss 2.4594 (2.6506) Prec@1 47.656 (42.705) Prec@5 71.875 (67.869) Epoch: [24][2360/10010] Time 0.324 (0.330) Data 0.001 (0.002) Loss 2.8798 (2.6506) Prec@1 34.375 (42.701) Prec@5 64.844 (67.873) Epoch: [24][2370/10010] Time 0.319 (0.330) Data 0.000 (0.002) Loss 2.8532 (2.6507) Prec@1 46.094 (42.703) Prec@5 64.062 (67.871) /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: [24][2380/10010] Time 0.337 (0.330) Data 0.001 (0.002) Loss 2.8572 (2.6504) Prec@1 39.062 (42.708) Prec@5 64.844 (67.878) Epoch: [24][2390/10010] Time 0.321 (0.330) Data 0.001 (0.002) Loss 2.6581 (2.6506) Prec@1 42.969 (42.703) Prec@5 68.750 (67.873) Epoch: [24][2400/10010] Time 0.324 (0.330) Data 0.001 (0.002) Loss 2.6891 (2.6504) Prec@1 36.719 (42.702) Prec@5 71.094 (67.871) Epoch: [24][2410/10010] Time 0.318 (0.330) Data 0.000 (0.002) Loss 2.4167 (2.6508) Prec@1 43.750 (42.702) Prec@5 68.750 (67.868) Epoch: [24][2420/10010] Time 0.320 (0.330) Data 0.001 (0.002) Loss 2.6973 (2.6508) Prec@1 35.938 (42.700) Prec@5 60.938 (67.862) Epoch: [24][2430/10010] Time 0.342 (0.330) Data 0.001 (0.002) Loss 2.7341 (2.6508) Prec@1 46.875 (42.702) Prec@5 64.844 (67.859) Epoch: [24][2440/10010] Time 0.324 (0.330) Data 0.000 (0.002) Loss 2.3925 (2.6507) Prec@1 47.656 (42.706) Prec@5 71.094 (67.860) Epoch: [24][2450/10010] Time 0.339 (0.330) Data 0.000 (0.002) Loss 2.2878 (2.6509) Prec@1 45.312 (42.705) Prec@5 71.094 (67.856) Epoch: [24][2460/10010] Time 0.346 (0.330) Data 0.000 (0.002) Loss 2.2701 (2.6505) Prec@1 47.656 (42.712) Prec@5 71.875 (67.864) Epoch: [24][2470/10010] Time 0.318 (0.330) Data 0.000 (0.002) Loss 2.3250 (2.6509) Prec@1 52.344 (42.710) Prec@5 72.656 (67.853) Epoch: [24][2480/10010] Time 0.330 (0.330) Data 0.000 (0.002) Loss 2.7037 (2.6508) Prec@1 42.188 (42.709) Prec@5 67.188 (67.853) Epoch: [24][2490/10010] Time 0.344 (0.330) Data 0.000 (0.002) Loss 2.6430 (2.6509) Prec@1 39.062 (42.709) Prec@5 61.719 (67.847) Epoch: [24][2500/10010] Time 0.326 (0.330) Data 0.000 (0.002) Loss 2.7316 (2.6510) Prec@1 41.406 (42.708) Prec@5 67.969 (67.853) Epoch: [24][2510/10010] Time 0.335 (0.330) Data 0.003 (0.002) Loss 2.7286 (2.6511) Prec@1 39.062 (42.704) Prec@5 67.188 (67.850) Epoch: [24][2520/10010] Time 0.326 (0.330) Data 0.001 (0.002) Loss 2.7537 (2.6514) Prec@1 36.719 (42.698) Prec@5 62.500 (67.845) Epoch: [24][2530/10010] Time 0.329 (0.330) Data 0.000 (0.002) Loss 2.6482 (2.6511) Prec@1 42.969 (42.709) Prec@5 66.406 (67.848) Epoch: [24][2540/10010] Time 0.330 (0.330) Data 0.000 (0.002) Loss 2.7769 (2.6509) Prec@1 39.062 (42.714) Prec@5 64.844 (67.850) Epoch: [24][2550/10010] Time 0.319 (0.330) Data 0.000 (0.002) Loss 3.0678 (2.6510) Prec@1 37.500 (42.717) Prec@5 62.500 (67.848) Epoch: [24][2560/10010] Time 0.319 (0.330) Data 0.001 (0.002) Loss 2.7295 (2.6512) Prec@1 40.625 (42.716) Prec@5 63.281 (67.848) Epoch: [24][2570/10010] Time 0.337 (0.330) Data 0.000 (0.002) Loss 2.5294 (2.6514) Prec@1 43.750 (42.710) Prec@5 69.531 (67.841) Epoch: [24][2580/10010] Time 0.338 (0.330) Data 0.001 (0.002) Loss 2.5098 (2.6510) Prec@1 41.406 (42.711) Prec@5 70.312 (67.846) Epoch: [24][2590/10010] Time 0.324 (0.330) Data 0.001 (0.002) Loss 2.4867 (2.6508) Prec@1 43.750 (42.713) Prec@5 67.188 (67.847) Epoch: [24][2600/10010] Time 0.344 (0.330) Data 0.000 (0.002) Loss 3.0560 (2.6509) Prec@1 35.938 (42.710) Prec@5 57.812 (67.847) Epoch: [24][2610/10010] Time 0.332 (0.330) Data 0.001 (0.002) Loss 2.3776 (2.6510) Prec@1 57.812 (42.713) Prec@5 73.438 (67.847) /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: [24][2620/10010] Time 0.338 (0.330) Data 0.000 (0.002) Loss 2.7685 (2.6507) Prec@1 42.188 (42.715) Prec@5 65.625 (67.852) Epoch: [24][2630/10010] Time 0.333 (0.330) Data 0.001 (0.002) Loss 2.6020 (2.6511) Prec@1 43.750 (42.709) Prec@5 65.625 (67.842) Epoch: [24][2640/10010] Time 0.329 (0.330) Data 0.000 (0.002) Loss 2.8488 (2.6514) Prec@1 42.969 (42.706) Prec@5 64.844 (67.833) Epoch: [24][2650/10010] Time 0.328 (0.330) Data 0.000 (0.002) Loss 2.6022 (2.6515) Prec@1 44.531 (42.708) Prec@5 70.312 (67.834) Epoch: [24][2660/10010] Time 0.340 (0.330) Data 0.000 (0.002) Loss 2.6992 (2.6515) Prec@1 42.969 (42.709) Prec@5 66.406 (67.834) Epoch: [24][2670/10010] Time 0.339 (0.330) Data 0.001 (0.002) Loss 2.7414 (2.6515) Prec@1 43.750 (42.716) Prec@5 69.531 (67.833) Epoch: [24][2680/10010] Time 0.323 (0.330) Data 0.000 (0.002) Loss 2.3321 (2.6511) Prec@1 49.219 (42.724) Prec@5 73.438 (67.840) Epoch: [24][2690/10010] Time 0.321 (0.330) Data 0.000 (0.002) Loss 2.7947 (2.6512) Prec@1 41.406 (42.726) Prec@5 67.969 (67.838) Epoch: [24][2700/10010] Time 0.340 (0.330) Data 0.001 (0.002) Loss 2.6134 (2.6512) Prec@1 41.406 (42.725) Prec@5 67.188 (67.837) Epoch: [24][2710/10010] Time 0.342 (0.330) Data 0.001 (0.002) Loss 2.1257 (2.6512) Prec@1 47.656 (42.728) Prec@5 78.125 (67.840) Epoch: [24][2720/10010] Time 0.332 (0.330) Data 0.000 (0.002) Loss 2.7604 (2.6515) Prec@1 46.094 (42.725) Prec@5 64.844 (67.833) Epoch: [24][2730/10010] Time 0.340 (0.330) Data 0.000 (0.002) Loss 2.6136 (2.6514) Prec@1 42.969 (42.723) Prec@5 72.656 (67.837) Epoch: [24][2740/10010] Time 0.327 (0.330) Data 0.000 (0.002) Loss 2.6506 (2.6509) Prec@1 37.500 (42.727) Prec@5 71.875 (67.850) Epoch: [24][2750/10010] Time 0.342 (0.330) Data 0.000 (0.002) Loss 2.5488 (2.6509) Prec@1 41.406 (42.725) Prec@5 72.656 (67.851) Epoch: [24][2760/10010] Time 0.323 (0.330) Data 0.001 (0.002) Loss 2.4181 (2.6507) Prec@1 45.312 (42.725) Prec@5 67.188 (67.857) Epoch: [24][2770/10010] Time 0.340 (0.330) Data 0.000 (0.002) Loss 2.5201 (2.6509) Prec@1 44.531 (42.726) Prec@5 64.844 (67.854) Epoch: [24][2780/10010] Time 0.325 (0.330) Data 0.000 (0.002) Loss 2.0891 (2.6510) Prec@1 50.000 (42.720) Prec@5 78.125 (67.857) Epoch: [24][2790/10010] Time 0.320 (0.330) Data 0.000 (0.002) Loss 2.6113 (2.6509) Prec@1 42.969 (42.715) Prec@5 64.844 (67.855) Epoch: [24][2800/10010] Time 0.328 (0.330) Data 0.001 (0.002) Loss 2.7626 (2.6505) Prec@1 39.844 (42.720) Prec@5 66.406 (67.864) Epoch: [24][2810/10010] Time 0.337 (0.330) Data 0.001 (0.002) Loss 2.6746 (2.6505) Prec@1 38.281 (42.718) Prec@5 67.188 (67.861) Epoch: [24][2820/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.6328 (2.6506) Prec@1 42.188 (42.715) Prec@5 70.312 (67.861) Epoch: [24][2830/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 2.8830 (2.6510) Prec@1 44.531 (42.707) Prec@5 60.156 (67.851) Epoch: [24][2840/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 3.0817 (2.6510) Prec@1 36.719 (42.705) Prec@5 57.031 (67.846) Epoch: [24][2850/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.6882 (2.6514) Prec@1 45.312 (42.699) Prec@5 64.844 (67.837) Epoch: [24][2860/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.6582 (2.6517) Prec@1 42.188 (42.696) Prec@5 71.094 (67.835) Epoch: [24][2870/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.6300 (2.6520) Prec@1 44.531 (42.697) Prec@5 67.188 (67.829) Epoch: [24][2880/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.8225 (2.6523) Prec@1 39.844 (42.692) Prec@5 61.719 (67.822) Epoch: [24][2890/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.8319 (2.6525) Prec@1 41.406 (42.687) Prec@5 59.375 (67.814) Epoch: [24][2900/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.8696 (2.6527) Prec@1 42.969 (42.689) Prec@5 61.719 (67.811) Epoch: [24][2910/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.6490 (2.6529) Prec@1 42.969 (42.686) Prec@5 63.281 (67.804) Epoch: [24][2920/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.8455 (2.6529) Prec@1 36.719 (42.687) Prec@5 68.750 (67.809) Epoch: [24][2930/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.7768 (2.6533) Prec@1 46.875 (42.684) Prec@5 70.312 (67.805) Epoch: [24][2940/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.7986 (2.6534) Prec@1 39.844 (42.683) Prec@5 64.844 (67.802) Epoch: [24][2950/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.4662 (2.6534) Prec@1 44.531 (42.680) Prec@5 74.219 (67.799) Epoch: [24][2960/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 3.0309 (2.6538) Prec@1 38.281 (42.678) Prec@5 62.500 (67.800) Epoch: [24][2970/10010] Time 0.316 (0.330) Data 0.003 (0.001) Loss 2.3618 (2.6538) Prec@1 50.781 (42.682) Prec@5 74.219 (67.803) Epoch: [24][2980/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 2.6016 (2.6541) Prec@1 42.188 (42.672) Prec@5 64.844 (67.794) Epoch: [24][2990/10010] Time 0.318 (0.330) Data 0.003 (0.001) Loss 2.7136 (2.6544) Prec@1 43.750 (42.667) Prec@5 67.969 (67.793) Epoch: [24][3000/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.6886 (2.6541) Prec@1 39.062 (42.672) Prec@5 67.188 (67.798) Epoch: [24][3010/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.4001 (2.6541) Prec@1 44.531 (42.669) Prec@5 75.000 (67.797) Epoch: [24][3020/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.6256 (2.6539) Prec@1 46.875 (42.673) Prec@5 64.844 (67.798) Epoch: [24][3030/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.5906 (2.6537) Prec@1 43.750 (42.671) Prec@5 67.969 (67.800) Epoch: [24][3040/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.4365 (2.6538) Prec@1 50.781 (42.670) Prec@5 70.312 (67.796) Epoch: [24][3050/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.5909 (2.6537) Prec@1 36.719 (42.668) Prec@5 73.438 (67.799) Epoch: [24][3060/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 2.4674 (2.6537) Prec@1 47.656 (42.662) Prec@5 71.875 (67.796) Epoch: [24][3070/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.7771 (2.6535) Prec@1 39.062 (42.669) Prec@5 67.969 (67.801) Epoch: [24][3080/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.7589 (2.6536) Prec@1 36.719 (42.663) Prec@5 71.094 (67.803) Epoch: [24][3090/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.8282 (2.6540) Prec@1 44.531 (42.664) Prec@5 67.188 (67.801) Epoch: [24][3100/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.2588 (2.6540) Prec@1 52.344 (42.664) Prec@5 78.906 (67.802) Epoch: [24][3110/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.7825 (2.6539) Prec@1 46.094 (42.668) Prec@5 66.406 (67.803) Epoch: [24][3120/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.3808 (2.6536) Prec@1 50.000 (42.672) Prec@5 70.312 (67.803) Epoch: [24][3130/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.6068 (2.6535) Prec@1 42.969 (42.677) Prec@5 67.188 (67.805) Epoch: [24][3140/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.7425 (2.6534) Prec@1 39.844 (42.676) Prec@5 66.406 (67.806) Epoch: [24][3150/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7558 (2.6536) Prec@1 35.156 (42.666) Prec@5 64.844 (67.805) Epoch: [24][3160/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5129 (2.6537) Prec@1 46.094 (42.662) Prec@5 67.969 (67.806) Epoch: [24][3170/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.3307 (2.6537) Prec@1 50.781 (42.661) Prec@5 73.438 (67.808) Epoch: [24][3180/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.6544 (2.6536) Prec@1 44.531 (42.663) Prec@5 71.875 (67.810) Epoch: [24][3190/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.5801 (2.6535) Prec@1 46.094 (42.670) Prec@5 62.500 (67.814) Epoch: [24][3200/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.3237 (2.6534) Prec@1 50.000 (42.671) Prec@5 75.000 (67.815) Epoch: [24][3210/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.6508 (2.6535) Prec@1 41.406 (42.673) Prec@5 68.750 (67.815) Epoch: [24][3220/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 2.8258 (2.6536) Prec@1 39.844 (42.671) Prec@5 67.969 (67.814) Epoch: [24][3230/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.5594 (2.6535) Prec@1 44.531 (42.673) Prec@5 69.531 (67.814) Epoch: [24][3240/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.1092 (2.6539) Prec@1 35.156 (42.667) Prec@5 60.156 (67.808) Epoch: [24][3250/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.5214 (2.6539) Prec@1 46.875 (42.668) Prec@5 68.750 (67.809) Epoch: [24][3260/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.9444 (2.6542) Prec@1 39.844 (42.660) Prec@5 64.844 (67.800) Epoch: [24][3270/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.7283 (2.6542) Prec@1 39.844 (42.661) Prec@5 67.969 (67.802) Epoch: [24][3280/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 2.5065 (2.6542) Prec@1 42.188 (42.663) Prec@5 71.875 (67.805) Epoch: [24][3290/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 2.6518 (2.6544) Prec@1 37.500 (42.658) Prec@5 67.188 (67.804) Epoch: [24][3300/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9252 (2.6544) Prec@1 39.844 (42.662) Prec@5 58.594 (67.802) Epoch: [24][3310/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.3357 (2.6541) Prec@1 45.312 (42.668) Prec@5 75.781 (67.809) Epoch: [24][3320/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.4023 (2.6540) Prec@1 43.750 (42.666) Prec@5 71.094 (67.813) Epoch: [24][3330/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.9285 (2.6540) Prec@1 35.156 (42.667) Prec@5 64.062 (67.814) Epoch: [24][3340/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7281 (2.6538) Prec@1 42.188 (42.669) Prec@5 68.750 (67.817) Epoch: [24][3350/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6338 (2.6541) Prec@1 42.188 (42.665) Prec@5 67.969 (67.807) Epoch: [24][3360/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5985 (2.6539) Prec@1 45.312 (42.671) Prec@5 71.094 (67.809) Epoch: [24][3370/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8335 (2.6540) Prec@1 35.938 (42.665) Prec@5 61.719 (67.807) Epoch: [24][3380/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5045 (2.6537) Prec@1 50.781 (42.670) Prec@5 69.531 (67.808) Epoch: [24][3390/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.8435 (2.6536) Prec@1 37.500 (42.668) Prec@5 63.281 (67.806) Epoch: [24][3400/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.8395 (2.6538) Prec@1 38.281 (42.666) Prec@5 67.188 (67.803) Epoch: [24][3410/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.5645 (2.6540) Prec@1 46.875 (42.664) Prec@5 68.750 (67.796) Epoch: [24][3420/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.2430 (2.6540) Prec@1 48.438 (42.669) Prec@5 72.656 (67.798) Epoch: [24][3430/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.6034 (2.6538) Prec@1 39.844 (42.667) Prec@5 67.188 (67.802) Epoch: [24][3440/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.5656 (2.6538) Prec@1 45.312 (42.669) Prec@5 71.875 (67.801) Epoch: [24][3450/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.6822 (2.6537) Prec@1 42.969 (42.667) Prec@5 66.406 (67.805) Epoch: [24][3460/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 3.1148 (2.6539) Prec@1 42.969 (42.669) Prec@5 58.594 (67.801) Epoch: [24][3470/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.7084 (2.6545) Prec@1 42.188 (42.657) Prec@5 68.750 (67.791) Epoch: [24][3480/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.6940 (2.6548) Prec@1 44.531 (42.656) Prec@5 67.969 (67.787) Epoch: [24][3490/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.8255 (2.6550) Prec@1 36.719 (42.653) Prec@5 69.531 (67.785) Epoch: [24][3500/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.8256 (2.6548) Prec@1 39.062 (42.661) Prec@5 60.156 (67.788) Epoch: [24][3510/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.8502 (2.6548) Prec@1 38.281 (42.661) Prec@5 64.844 (67.789) Epoch: [24][3520/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.6270 (2.6549) Prec@1 44.531 (42.660) Prec@5 67.969 (67.790) Epoch: [24][3530/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 2.7975 (2.6550) Prec@1 40.625 (42.661) Prec@5 65.625 (67.788) Epoch: [24][3540/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.3187 (2.6548) Prec@1 47.656 (42.662) Prec@5 73.438 (67.790) Epoch: [24][3550/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.9274 (2.6547) Prec@1 40.625 (42.666) Prec@5 59.375 (67.789) Epoch: [24][3560/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.8628 (2.6547) Prec@1 42.188 (42.664) Prec@5 62.500 (67.787) Epoch: [24][3570/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 3.0302 (2.6549) Prec@1 32.812 (42.662) Prec@5 64.844 (67.785) Epoch: [24][3580/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.8741 (2.6546) Prec@1 39.062 (42.666) Prec@5 60.938 (67.786) Epoch: [24][3590/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.6718 (2.6547) Prec@1 39.062 (42.666) Prec@5 71.094 (67.790) Epoch: [24][3600/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.5742 (2.6546) Prec@1 45.312 (42.662) Prec@5 67.969 (67.794) Epoch: [24][3610/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.4506 (2.6547) Prec@1 42.188 (42.657) Prec@5 72.656 (67.794) Epoch: [24][3620/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.7203 (2.6546) Prec@1 48.438 (42.655) Prec@5 66.406 (67.797) Epoch: [24][3630/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.7347 (2.6548) Prec@1 42.969 (42.653) Prec@5 64.062 (67.792) Epoch: [24][3640/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.9932 (2.6549) Prec@1 41.406 (42.652) Prec@5 64.062 (67.794) Epoch: [24][3650/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.4999 (2.6549) Prec@1 48.438 (42.655) Prec@5 70.312 (67.793) Epoch: [24][3660/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.8866 (2.6553) Prec@1 35.156 (42.649) Prec@5 61.719 (67.788) Epoch: [24][3670/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 2.6561 (2.6556) Prec@1 40.625 (42.643) Prec@5 70.312 (67.784) Epoch: [24][3680/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.3960 (2.6556) Prec@1 50.781 (42.647) Prec@5 75.000 (67.787) Epoch: [24][3690/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.5477 (2.6555) Prec@1 43.750 (42.645) Prec@5 68.750 (67.784) Epoch: [24][3700/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.4963 (2.6558) Prec@1 47.656 (42.642) Prec@5 67.188 (67.779) Epoch: [24][3710/10010] Time 0.314 (0.330) Data 0.001 (0.001) Loss 2.4570 (2.6557) Prec@1 42.188 (42.642) Prec@5 67.969 (67.779) Epoch: [24][3720/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.9333 (2.6559) Prec@1 37.500 (42.632) Prec@5 64.062 (67.776) Epoch: [24][3730/10010] Time 0.309 (0.330) Data 0.001 (0.001) Loss 2.6304 (2.6561) Prec@1 43.750 (42.632) Prec@5 66.406 (67.774) Epoch: [24][3740/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.4723 (2.6557) Prec@1 48.438 (42.636) Prec@5 69.531 (67.783) Epoch: [24][3750/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.1726 (2.6555) Prec@1 48.438 (42.637) Prec@5 77.344 (67.781) Epoch: [24][3760/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.6218 (2.6555) Prec@1 46.094 (42.636) Prec@5 68.750 (67.781) Epoch: [24][3770/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.5346 (2.6553) Prec@1 42.188 (42.637) Prec@5 71.875 (67.786) Epoch: [24][3780/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.7451 (2.6551) Prec@1 39.844 (42.644) Prec@5 67.969 (67.791) Epoch: [24][3790/10010] Time 0.308 (0.330) Data 0.001 (0.001) Loss 2.9294 (2.6551) Prec@1 35.156 (42.647) Prec@5 64.844 (67.793) Epoch: [24][3800/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.5281 (2.6552) Prec@1 45.312 (42.644) Prec@5 74.219 (67.792) Epoch: [24][3810/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.7837 (2.6549) Prec@1 40.625 (42.651) Prec@5 66.406 (67.794) Epoch: [24][3820/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.4102 (2.6547) Prec@1 47.656 (42.653) Prec@5 74.219 (67.799) Epoch: [24][3830/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.7988 (2.6549) Prec@1 37.500 (42.647) Prec@5 64.062 (67.799) Epoch: [24][3840/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.6515 (2.6552) Prec@1 45.312 (42.644) Prec@5 67.188 (67.791) Epoch: [24][3850/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.5010 (2.6550) Prec@1 46.094 (42.644) Prec@5 65.625 (67.792) Epoch: [24][3860/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.5786 (2.6548) Prec@1 46.094 (42.652) Prec@5 71.094 (67.795) Epoch: [24][3870/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.8983 (2.6550) Prec@1 33.594 (42.643) Prec@5 63.281 (67.789) Epoch: [24][3880/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.1839 (2.6546) Prec@1 46.875 (42.650) Prec@5 76.562 (67.793) Epoch: [24][3890/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.3240 (2.6546) Prec@1 49.219 (42.651) Prec@5 78.125 (67.796) Epoch: [24][3900/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.9607 (2.6545) Prec@1 38.281 (42.649) Prec@5 61.719 (67.796) Epoch: [24][3910/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 2.4849 (2.6545) Prec@1 50.000 (42.645) Prec@5 72.656 (67.793) Epoch: [24][3920/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.5084 (2.6545) Prec@1 47.656 (42.643) Prec@5 68.750 (67.792) Epoch: [24][3930/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.8515 (2.6543) Prec@1 45.312 (42.648) Prec@5 60.156 (67.795) Epoch: [24][3940/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.3665 (2.6542) Prec@1 45.312 (42.647) Prec@5 70.312 (67.793) Epoch: [24][3950/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.8889 (2.6542) Prec@1 37.500 (42.648) Prec@5 61.719 (67.790) Epoch: [24][3960/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 3.1368 (2.6546) Prec@1 40.625 (42.640) Prec@5 60.938 (67.788) Epoch: [24][3970/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.5035 (2.6544) Prec@1 42.188 (42.642) Prec@5 68.750 (67.790) Epoch: [24][3980/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.4608 (2.6544) Prec@1 42.188 (42.641) Prec@5 68.750 (67.790) Epoch: [24][3990/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.4115 (2.6543) Prec@1 42.969 (42.643) Prec@5 71.094 (67.794) Epoch: [24][4000/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.3719 (2.6543) Prec@1 47.656 (42.641) Prec@5 75.000 (67.794) Epoch: [24][4010/10010] Time 0.315 (0.330) Data 0.000 (0.001) Loss 2.8891 (2.6544) Prec@1 39.844 (42.639) Prec@5 65.625 (67.790) Epoch: [24][4020/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.6560 (2.6544) Prec@1 42.969 (42.638) Prec@5 67.969 (67.787) Epoch: [24][4030/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.6155 (2.6545) Prec@1 39.062 (42.639) Prec@5 71.094 (67.789) Epoch: [24][4040/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.4913 (2.6546) Prec@1 45.312 (42.638) Prec@5 72.656 (67.785) Epoch: [24][4050/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.9697 (2.6546) Prec@1 41.406 (42.639) Prec@5 61.719 (67.787) Epoch: [24][4060/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.5431 (2.6545) Prec@1 41.406 (42.640) Prec@5 72.656 (67.789) Epoch: [24][4070/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.9007 (2.6544) Prec@1 35.156 (42.643) Prec@5 64.844 (67.794) Epoch: [24][4080/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 2.5816 (2.6545) Prec@1 42.969 (42.644) Prec@5 66.406 (67.794) Epoch: [24][4090/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.9216 (2.6546) Prec@1 43.750 (42.644) Prec@5 62.500 (67.789) Epoch: [24][4100/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.7155 (2.6548) Prec@1 42.188 (42.641) Prec@5 65.625 (67.784) Epoch: [24][4110/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.5245 (2.6546) Prec@1 43.750 (42.642) Prec@5 67.188 (67.786) Epoch: [24][4120/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.8897 (2.6546) Prec@1 36.719 (42.639) Prec@5 66.406 (67.788) Epoch: [24][4130/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.8331 (2.6548) Prec@1 38.281 (42.632) Prec@5 66.406 (67.788) Epoch: [24][4140/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.5647 (2.6545) Prec@1 44.531 (42.634) Prec@5 70.312 (67.793) Epoch: [24][4150/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.6010 (2.6546) Prec@1 45.312 (42.637) Prec@5 68.750 (67.791) Epoch: [24][4160/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.8365 (2.6545) Prec@1 34.375 (42.640) Prec@5 61.719 (67.791) /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: [24][4170/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.6953 (2.6544) Prec@1 41.406 (42.638) Prec@5 66.406 (67.791) Epoch: [24][4180/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.4124 (2.6547) Prec@1 52.344 (42.633) Prec@5 67.969 (67.786) Epoch: [24][4190/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.6909 (2.6546) Prec@1 39.844 (42.631) Prec@5 66.406 (67.785) Epoch: [24][4200/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 2.5644 (2.6546) Prec@1 42.188 (42.632) Prec@5 66.406 (67.785) Epoch: [24][4210/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.6085 (2.6548) Prec@1 46.094 (42.629) Prec@5 67.188 (67.779) Epoch: [24][4220/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 3.1094 (2.6550) Prec@1 42.188 (42.629) Prec@5 61.719 (67.775) Epoch: [24][4230/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.4170 (2.6549) Prec@1 43.750 (42.626) Prec@5 68.750 (67.777) Epoch: [24][4240/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.5463 (2.6550) Prec@1 45.312 (42.628) Prec@5 71.875 (67.776) Epoch: [24][4250/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.7460 (2.6549) Prec@1 41.406 (42.628) Prec@5 67.969 (67.778) Epoch: [24][4260/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.6923 (2.6550) Prec@1 43.750 (42.628) Prec@5 66.406 (67.775) Epoch: [24][4270/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.3424 (2.6549) Prec@1 47.656 (42.632) Prec@5 68.750 (67.777) Epoch: [24][4280/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.8720 (2.6550) Prec@1 35.938 (42.631) Prec@5 60.938 (67.775) Epoch: [24][4290/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.8430 (2.6551) Prec@1 39.844 (42.632) Prec@5 63.281 (67.774) Epoch: [24][4300/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.3671 (2.6552) Prec@1 47.656 (42.629) Prec@5 71.875 (67.771) Epoch: [24][4310/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 2.3169 (2.6550) Prec@1 50.781 (42.634) Prec@5 74.219 (67.776) Epoch: [24][4320/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.7500 (2.6552) Prec@1 42.969 (42.629) Prec@5 69.531 (67.774) Epoch: [24][4330/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.8146 (2.6553) Prec@1 42.188 (42.628) Prec@5 64.062 (67.770) Epoch: [24][4340/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.7487 (2.6553) Prec@1 40.625 (42.628) Prec@5 67.188 (67.773) Epoch: [24][4350/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.8945 (2.6554) Prec@1 35.938 (42.625) Prec@5 69.531 (67.772) Epoch: [24][4360/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.3475 (2.6552) Prec@1 42.969 (42.623) Prec@5 71.875 (67.772) Epoch: [24][4370/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.5665 (2.6552) Prec@1 42.969 (42.623) Prec@5 72.656 (67.768) Epoch: [24][4380/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.3298 (2.6551) Prec@1 50.781 (42.628) Prec@5 73.438 (67.771) Epoch: [24][4390/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.5779 (2.6552) Prec@1 45.312 (42.630) Prec@5 69.531 (67.771) Epoch: [24][4400/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.5233 (2.6554) Prec@1 42.969 (42.623) Prec@5 71.094 (67.769) Epoch: [24][4410/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.4721 (2.6550) Prec@1 43.750 (42.628) Prec@5 73.438 (67.774) Epoch: [24][4420/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.6910 (2.6548) Prec@1 44.531 (42.633) Prec@5 63.281 (67.778) Epoch: [24][4430/10010] Time 0.351 (0.330) Data 0.000 (0.001) Loss 2.4694 (2.6546) Prec@1 50.781 (42.640) Prec@5 71.094 (67.780) Epoch: [24][4440/10010] Time 0.313 (0.330) Data 0.000 (0.001) Loss 2.2707 (2.6545) Prec@1 43.750 (42.638) Prec@5 71.094 (67.779) Epoch: [24][4450/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 2.7453 (2.6542) Prec@1 42.188 (42.643) Prec@5 67.188 (67.785) Epoch: [24][4460/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 3.1021 (2.6543) Prec@1 34.375 (42.638) Prec@5 63.281 (67.784) Epoch: [24][4470/10010] Time 0.348 (0.330) Data 0.001 (0.001) Loss 2.9744 (2.6545) Prec@1 33.594 (42.633) Prec@5 64.062 (67.779) Epoch: [24][4480/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.5748 (2.6545) Prec@1 47.656 (42.633) Prec@5 70.312 (67.779) Epoch: [24][4490/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.1034 (2.6543) Prec@1 49.219 (42.638) Prec@5 78.906 (67.782) Epoch: [24][4500/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.6933 (2.6543) Prec@1 41.406 (42.639) Prec@5 64.844 (67.782) Epoch: [24][4510/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.5984 (2.6543) Prec@1 40.625 (42.637) Prec@5 68.750 (67.783) Epoch: [24][4520/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.4565 (2.6544) Prec@1 44.531 (42.637) Prec@5 74.219 (67.783) Epoch: [24][4530/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.7846 (2.6543) Prec@1 42.969 (42.640) Prec@5 64.062 (67.783) Epoch: [24][4540/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.9861 (2.6544) Prec@1 39.062 (42.638) Prec@5 63.281 (67.783) Epoch: [24][4550/10010] Time 0.349 (0.330) Data 0.000 (0.001) Loss 2.7889 (2.6546) Prec@1 38.281 (42.638) Prec@5 65.625 (67.780) Epoch: [24][4560/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 3.0265 (2.6547) Prec@1 34.375 (42.635) Prec@5 60.938 (67.781) Epoch: [24][4570/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.8862 (2.6547) Prec@1 35.938 (42.635) Prec@5 63.281 (67.780) Epoch: [24][4580/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 2.5320 (2.6549) Prec@1 41.406 (42.631) Prec@5 71.875 (67.778) Epoch: [24][4590/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.5006 (2.6550) Prec@1 38.281 (42.628) Prec@5 69.531 (67.777) Epoch: [24][4600/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.5727 (2.6551) Prec@1 50.000 (42.629) Prec@5 69.531 (67.776) Epoch: [24][4610/10010] Time 0.313 (0.330) Data 0.001 (0.001) Loss 2.6265 (2.6555) Prec@1 40.625 (42.625) Prec@5 70.312 (67.768) Epoch: [24][4620/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.9598 (2.6556) Prec@1 39.844 (42.623) Prec@5 60.938 (67.764) /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: [24][4630/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.9295 (2.6557) Prec@1 39.062 (42.622) Prec@5 64.062 (67.763) Epoch: [24][4640/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 2.6664 (2.6557) Prec@1 42.969 (42.622) Prec@5 67.969 (67.762) Epoch: [24][4650/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.4574 (2.6557) Prec@1 50.781 (42.624) Prec@5 69.531 (67.763) Epoch: [24][4660/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.5394 (2.6557) Prec@1 44.531 (42.624) Prec@5 67.969 (67.761) Epoch: [24][4670/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.8819 (2.6559) Prec@1 39.844 (42.623) Prec@5 62.500 (67.761) Epoch: [24][4680/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.3077 (2.6559) Prec@1 50.000 (42.620) Prec@5 77.344 (67.760) Epoch: [24][4690/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.6132 (2.6560) Prec@1 41.406 (42.619) Prec@5 68.750 (67.760) Epoch: [24][4700/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.4502 (2.6557) Prec@1 38.281 (42.623) Prec@5 71.094 (67.761) Epoch: [24][4710/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.6912 (2.6555) Prec@1 46.875 (42.629) Prec@5 66.406 (67.766) Epoch: [24][4720/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.7101 (2.6555) Prec@1 42.969 (42.628) Prec@5 66.406 (67.764) Epoch: [24][4730/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.8678 (2.6558) Prec@1 36.719 (42.626) Prec@5 63.281 (67.760) Epoch: [24][4740/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.7738 (2.6558) Prec@1 41.406 (42.625) Prec@5 68.750 (67.758) Epoch: [24][4750/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.6093 (2.6559) Prec@1 46.875 (42.625) Prec@5 64.062 (67.757) Epoch: [24][4760/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.8047 (2.6561) Prec@1 39.062 (42.620) Prec@5 68.750 (67.752) Epoch: [24][4770/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.6459 (2.6563) Prec@1 40.625 (42.616) Prec@5 69.531 (67.751) Epoch: [24][4780/10010] Time 0.314 (0.330) Data 0.001 (0.001) Loss 2.9054 (2.6564) Prec@1 35.938 (42.612) Prec@5 62.500 (67.747) Epoch: [24][4790/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.6985 (2.6564) Prec@1 38.281 (42.614) Prec@5 70.312 (67.747) Epoch: [24][4800/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.4541 (2.6563) Prec@1 46.094 (42.617) Prec@5 70.312 (67.750) Epoch: [24][4810/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.6583 (2.6563) Prec@1 43.750 (42.615) Prec@5 64.844 (67.750) Epoch: [24][4820/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.7406 (2.6565) Prec@1 39.062 (42.615) Prec@5 68.750 (67.746) Epoch: [24][4830/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.8714 (2.6568) Prec@1 39.844 (42.611) Prec@5 63.281 (67.739) Epoch: [24][4840/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.8860 (2.6567) Prec@1 37.500 (42.609) Prec@5 68.750 (67.741) Epoch: [24][4850/10010] Time 0.320 (0.330) Data 0.003 (0.001) Loss 2.6810 (2.6567) Prec@1 45.312 (42.609) Prec@5 67.188 (67.738) Epoch: [24][4860/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.3565 (2.6566) Prec@1 50.781 (42.610) Prec@5 71.875 (67.739) Epoch: [24][4870/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.6946 (2.6565) Prec@1 44.531 (42.613) Prec@5 68.750 (67.738) Epoch: [24][4880/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.5400 (2.6566) Prec@1 43.750 (42.611) Prec@5 71.875 (67.740) Epoch: [24][4890/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.7138 (2.6566) Prec@1 40.625 (42.609) Prec@5 70.312 (67.739) Epoch: [24][4900/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 2.8398 (2.6566) Prec@1 39.844 (42.609) Prec@5 62.500 (67.738) Epoch: [24][4910/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.5252 (2.6566) Prec@1 47.656 (42.609) Prec@5 68.750 (67.739) Epoch: [24][4920/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.7181 (2.6565) Prec@1 39.062 (42.608) Prec@5 66.406 (67.737) Epoch: [24][4930/10010] Time 0.315 (0.330) Data 0.000 (0.001) Loss 2.5864 (2.6564) Prec@1 39.844 (42.609) Prec@5 70.312 (67.738) Epoch: [24][4940/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.4779 (2.6564) Prec@1 44.531 (42.609) Prec@5 66.406 (67.738) Epoch: [24][4950/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.7787 (2.6564) Prec@1 37.500 (42.609) Prec@5 62.500 (67.738) Epoch: [24][4960/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.4830 (2.6565) Prec@1 44.531 (42.609) Prec@5 69.531 (67.738) Epoch: [24][4970/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.8906 (2.6565) Prec@1 35.938 (42.606) Prec@5 64.844 (67.734) Epoch: [24][4980/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 3.3972 (2.6568) Prec@1 33.594 (42.607) Prec@5 56.250 (67.731) Epoch: [24][4990/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 2.4573 (2.6566) Prec@1 46.875 (42.611) Prec@5 71.094 (67.735) Epoch: [24][5000/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.6034 (2.6567) Prec@1 42.969 (42.606) Prec@5 66.406 (67.736) Epoch: [24][5010/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.5040 (2.6569) Prec@1 41.406 (42.603) Prec@5 64.062 (67.734) Epoch: [24][5020/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.4561 (2.6568) Prec@1 42.188 (42.604) Prec@5 68.750 (67.736) Epoch: [24][5030/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.7101 (2.6569) Prec@1 41.406 (42.602) Prec@5 67.188 (67.737) Epoch: [24][5040/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.4863 (2.6569) Prec@1 42.188 (42.603) Prec@5 71.094 (67.735) Epoch: [24][5050/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 3.1794 (2.6569) Prec@1 41.406 (42.604) Prec@5 60.938 (67.735) Epoch: [24][5060/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.8941 (2.6570) Prec@1 32.812 (42.601) Prec@5 61.719 (67.735) Epoch: [24][5070/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.5761 (2.6571) Prec@1 41.406 (42.598) Prec@5 67.188 (67.728) Epoch: [24][5080/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.3997 (2.6571) Prec@1 45.312 (42.600) Prec@5 71.875 (67.729) Epoch: [24][5090/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.5557 (2.6572) Prec@1 42.188 (42.597) Prec@5 71.094 (67.728) Epoch: [24][5100/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.6347 (2.6573) Prec@1 42.969 (42.595) Prec@5 64.062 (67.724) Epoch: [24][5110/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 2.4388 (2.6572) Prec@1 40.625 (42.594) Prec@5 72.656 (67.724) Epoch: [24][5120/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.4140 (2.6573) Prec@1 46.094 (42.594) Prec@5 69.531 (67.723) Epoch: [24][5130/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 2.7125 (2.6576) Prec@1 40.625 (42.591) Prec@5 67.188 (67.718) Epoch: [24][5140/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.4716 (2.6577) Prec@1 44.531 (42.586) Prec@5 71.875 (67.714) Epoch: [24][5150/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.4816 (2.6576) Prec@1 44.531 (42.589) Prec@5 70.312 (67.717) Epoch: [24][5160/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.5849 (2.6574) Prec@1 40.625 (42.594) Prec@5 69.531 (67.718) Epoch: [24][5170/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 2.7324 (2.6573) Prec@1 44.531 (42.593) Prec@5 66.406 (67.722) Epoch: [24][5180/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.3591 (2.6572) Prec@1 45.312 (42.593) Prec@5 73.438 (67.725) Epoch: [24][5190/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.8050 (2.6574) Prec@1 40.625 (42.590) Prec@5 66.406 (67.724) Epoch: [24][5200/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.6909 (2.6576) Prec@1 50.781 (42.592) Prec@5 66.406 (67.719) Epoch: [24][5210/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.8197 (2.6576) Prec@1 37.500 (42.591) Prec@5 65.625 (67.717) Epoch: [24][5220/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.8097 (2.6576) Prec@1 39.062 (42.594) Prec@5 64.062 (67.718) Epoch: [24][5230/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 3.1085 (2.6580) Prec@1 38.281 (42.587) Prec@5 62.500 (67.710) Epoch: [24][5240/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 3.2214 (2.6579) Prec@1 35.156 (42.588) Prec@5 56.250 (67.714) Epoch: [24][5250/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.7943 (2.6581) Prec@1 41.406 (42.584) Prec@5 69.531 (67.713) Epoch: [24][5260/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.8933 (2.6581) Prec@1 39.844 (42.584) Prec@5 65.625 (67.713) Epoch: [24][5270/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.5104 (2.6580) Prec@1 49.219 (42.587) Prec@5 68.750 (67.714) Epoch: [24][5280/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.6783 (2.6581) Prec@1 40.625 (42.584) Prec@5 68.750 (67.711) Epoch: [24][5290/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.5397 (2.6581) Prec@1 49.219 (42.583) Prec@5 71.875 (67.713) Epoch: [24][5300/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.6171 (2.6582) Prec@1 51.562 (42.586) Prec@5 71.094 (67.713) Epoch: [24][5310/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.7132 (2.6582) Prec@1 39.844 (42.586) Prec@5 64.062 (67.711) Epoch: [24][5320/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.2505 (2.6583) Prec@1 47.656 (42.582) Prec@5 76.562 (67.707) Epoch: [24][5330/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 3.1040 (2.6583) Prec@1 37.500 (42.584) Prec@5 64.062 (67.709) Epoch: [24][5340/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.3430 (2.6583) Prec@1 53.125 (42.586) Prec@5 72.656 (67.710) Epoch: [24][5350/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.7371 (2.6586) Prec@1 40.625 (42.582) Prec@5 64.062 (67.704) Epoch: [24][5360/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.6694 (2.6586) Prec@1 46.875 (42.583) Prec@5 67.188 (67.707) Epoch: [24][5370/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.5776 (2.6587) Prec@1 42.969 (42.582) Prec@5 65.625 (67.704) Epoch: [24][5380/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.4896 (2.6584) Prec@1 46.094 (42.584) Prec@5 72.656 (67.708) Epoch: [24][5390/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.6305 (2.6585) Prec@1 46.875 (42.586) Prec@5 68.750 (67.706) Epoch: [24][5400/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.5912 (2.6585) Prec@1 39.844 (42.587) Prec@5 67.969 (67.707) Epoch: [24][5410/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.4546 (2.6586) Prec@1 42.969 (42.585) Prec@5 71.875 (67.705) Epoch: [24][5420/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.7308 (2.6587) Prec@1 42.188 (42.580) Prec@5 67.188 (67.702) Epoch: [24][5430/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 2.6400 (2.6586) Prec@1 44.531 (42.583) Prec@5 71.875 (67.707) Epoch: [24][5440/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.4944 (2.6585) Prec@1 44.531 (42.586) Prec@5 68.750 (67.709) Epoch: [24][5450/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.7448 (2.6588) Prec@1 42.969 (42.585) Prec@5 66.406 (67.703) Epoch: [24][5460/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.6127 (2.6586) Prec@1 44.531 (42.585) Prec@5 67.188 (67.705) Epoch: [24][5470/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.6527 (2.6589) Prec@1 50.000 (42.583) Prec@5 66.406 (67.703) Epoch: [24][5480/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.6784 (2.6588) Prec@1 41.406 (42.583) Prec@5 62.500 (67.703) Epoch: [24][5490/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.5580 (2.6588) Prec@1 42.969 (42.583) Prec@5 71.094 (67.707) Epoch: [24][5500/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.5791 (2.6587) Prec@1 49.219 (42.588) Prec@5 69.531 (67.708) Epoch: [24][5510/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.6511 (2.6587) Prec@1 44.531 (42.588) Prec@5 66.406 (67.708) Epoch: [24][5520/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.5185 (2.6588) Prec@1 46.875 (42.585) Prec@5 73.438 (67.705) Epoch: [24][5530/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.1532 (2.6588) Prec@1 49.219 (42.584) Prec@5 73.438 (67.705) Epoch: [24][5540/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 3.1117 (2.6588) Prec@1 33.594 (42.580) Prec@5 56.250 (67.703) Epoch: [24][5550/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.7890 (2.6590) Prec@1 39.062 (42.579) Prec@5 69.531 (67.702) Epoch: [24][5560/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.3457 (2.6587) Prec@1 52.344 (42.584) Prec@5 72.656 (67.709) Epoch: [24][5570/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.6616 (2.6587) Prec@1 40.625 (42.583) Prec@5 67.969 (67.706) Epoch: [24][5580/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.8467 (2.6587) Prec@1 33.594 (42.583) Prec@5 62.500 (67.705) Epoch: [24][5590/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 3.0831 (2.6588) Prec@1 35.156 (42.580) Prec@5 58.594 (67.704) Epoch: [24][5600/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.5154 (2.6587) Prec@1 39.844 (42.578) Prec@5 69.531 (67.703) Epoch: [24][5610/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.7498 (2.6587) Prec@1 45.312 (42.581) Prec@5 67.188 (67.704) Epoch: [24][5620/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.5306 (2.6587) Prec@1 46.875 (42.580) Prec@5 71.094 (67.705) Epoch: [24][5630/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.9514 (2.6589) Prec@1 39.844 (42.578) Prec@5 64.844 (67.700) Epoch: [24][5640/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.5198 (2.6590) Prec@1 46.875 (42.575) Prec@5 71.875 (67.702) Epoch: [24][5650/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.8781 (2.6590) Prec@1 39.844 (42.577) Prec@5 64.062 (67.702) Epoch: [24][5660/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.8263 (2.6590) Prec@1 35.938 (42.576) Prec@5 67.969 (67.704) Epoch: [24][5670/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 2.4941 (2.6591) Prec@1 42.188 (42.574) Prec@5 70.312 (67.703) Epoch: [24][5680/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.6750 (2.6592) Prec@1 45.312 (42.570) Prec@5 67.188 (67.700) Epoch: [24][5690/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 3.0699 (2.6592) Prec@1 39.062 (42.570) Prec@5 59.375 (67.700) Epoch: [24][5700/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.4805 (2.6593) Prec@1 43.750 (42.570) Prec@5 69.531 (67.699) Epoch: [24][5710/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.8394 (2.6592) Prec@1 35.156 (42.571) Prec@5 60.156 (67.701) Epoch: [24][5720/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.9865 (2.6596) Prec@1 39.062 (42.566) Prec@5 60.938 (67.694) Epoch: [24][5730/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.9765 (2.6596) Prec@1 39.062 (42.566) Prec@5 67.969 (67.698) /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: [24][5740/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.5130 (2.6594) Prec@1 44.531 (42.568) Prec@5 67.969 (67.702) Epoch: [24][5750/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.3892 (2.6594) Prec@1 46.875 (42.565) Prec@5 73.438 (67.702) Epoch: [24][5760/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.7266 (2.6595) Prec@1 41.406 (42.566) Prec@5 67.188 (67.699) Epoch: [24][5770/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.6353 (2.6595) Prec@1 39.062 (42.567) Prec@5 64.844 (67.699) Epoch: [24][5780/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.5410 (2.6597) Prec@1 43.750 (42.563) Prec@5 70.312 (67.697) Epoch: [24][5790/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.7360 (2.6596) Prec@1 46.875 (42.568) Prec@5 61.719 (67.699) Epoch: [24][5800/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.7338 (2.6598) Prec@1 39.844 (42.566) Prec@5 61.719 (67.696) Epoch: [24][5810/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.9837 (2.6598) Prec@1 34.375 (42.564) Prec@5 60.938 (67.695) Epoch: [24][5820/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.4050 (2.6598) Prec@1 46.875 (42.563) Prec@5 69.531 (67.694) Epoch: [24][5830/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.6605 (2.6597) Prec@1 48.438 (42.566) Prec@5 69.531 (67.696) Epoch: [24][5840/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.5940 (2.6598) Prec@1 44.531 (42.566) Prec@5 68.750 (67.695) Epoch: [24][5850/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.7257 (2.6599) Prec@1 40.625 (42.563) Prec@5 68.750 (67.695) Epoch: [24][5860/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.3490 (2.6596) Prec@1 50.781 (42.572) Prec@5 67.969 (67.699) Epoch: [24][5870/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.6467 (2.6596) Prec@1 39.062 (42.570) Prec@5 69.531 (67.699) Epoch: [24][5880/10010] Time 0.313 (0.330) Data 0.001 (0.001) Loss 2.3237 (2.6597) Prec@1 43.750 (42.568) Prec@5 76.562 (67.698) Epoch: [24][5890/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.3913 (2.6597) Prec@1 46.094 (42.566) Prec@5 72.656 (67.697) Epoch: [24][5900/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.4396 (2.6597) Prec@1 43.750 (42.565) Prec@5 67.188 (67.697) Epoch: [24][5910/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.5975 (2.6596) Prec@1 39.844 (42.565) Prec@5 71.875 (67.699) Epoch: [24][5920/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.9355 (2.6597) Prec@1 35.156 (42.562) Prec@5 64.844 (67.697) Epoch: [24][5930/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.8100 (2.6598) Prec@1 38.281 (42.560) Prec@5 65.625 (67.696) Epoch: [24][5940/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.7481 (2.6599) Prec@1 38.281 (42.556) Prec@5 64.844 (67.695) Epoch: [24][5950/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.7321 (2.6601) Prec@1 41.406 (42.551) Prec@5 67.969 (67.694) Epoch: [24][5960/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 2.0655 (2.6600) Prec@1 47.656 (42.552) Prec@5 78.125 (67.696) Epoch: [24][5970/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.5968 (2.6599) Prec@1 41.406 (42.556) Prec@5 66.406 (67.696) Epoch: [24][5980/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.5327 (2.6600) Prec@1 42.969 (42.554) Prec@5 71.094 (67.695) Epoch: [24][5990/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.1104 (2.6599) Prec@1 55.469 (42.555) Prec@5 75.000 (67.697) Epoch: [24][6000/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.7589 (2.6599) Prec@1 43.750 (42.555) Prec@5 65.625 (67.698) Epoch: [24][6010/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.5870 (2.6598) Prec@1 42.969 (42.555) Prec@5 66.406 (67.696) Epoch: [24][6020/10010] Time 0.337 (0.330) Data 0.004 (0.001) Loss 3.0778 (2.6597) Prec@1 43.750 (42.558) Prec@5 60.938 (67.699) Epoch: [24][6030/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.9853 (2.6598) Prec@1 39.062 (42.556) Prec@5 61.719 (67.697) Epoch: [24][6040/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 3.0579 (2.6600) Prec@1 36.719 (42.554) Prec@5 64.844 (67.695) Epoch: [24][6050/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.8217 (2.6601) Prec@1 35.938 (42.551) Prec@5 62.500 (67.692) Epoch: [24][6060/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 3.0645 (2.6603) Prec@1 33.594 (42.548) Prec@5 63.281 (67.689) Epoch: [24][6070/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.4482 (2.6602) Prec@1 50.000 (42.549) Prec@5 71.094 (67.692) Epoch: [24][6080/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.6610 (2.6603) Prec@1 36.719 (42.549) Prec@5 66.406 (67.689) Epoch: [24][6090/10010] Time 0.349 (0.330) Data 0.000 (0.001) Loss 2.8332 (2.6603) Prec@1 41.406 (42.552) Prec@5 64.062 (67.689) Epoch: [24][6100/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.8280 (2.6603) Prec@1 40.625 (42.554) Prec@5 66.406 (67.688) Epoch: [24][6110/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 3.0479 (2.6604) Prec@1 34.375 (42.553) Prec@5 66.406 (67.687) Epoch: [24][6120/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 2.7585 (2.6604) Prec@1 41.406 (42.551) Prec@5 67.969 (67.687) Epoch: [24][6130/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.5769 (2.6602) Prec@1 38.281 (42.556) Prec@5 69.531 (67.688) Epoch: [24][6140/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.3876 (2.6602) Prec@1 52.344 (42.556) Prec@5 72.656 (67.689) Epoch: [24][6150/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 2.6884 (2.6603) Prec@1 37.500 (42.553) Prec@5 69.531 (67.686) Epoch: [24][6160/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.8091 (2.6604) Prec@1 39.844 (42.553) Prec@5 67.188 (67.684) Epoch: [24][6170/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.4125 (2.6604) Prec@1 43.750 (42.552) Prec@5 71.875 (67.686) Epoch: [24][6180/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.8019 (2.6602) Prec@1 38.281 (42.555) Prec@5 63.281 (67.689) Epoch: [24][6190/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 2.5403 (2.6603) Prec@1 42.969 (42.556) Prec@5 69.531 (67.685) Epoch: [24][6200/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 3.0665 (2.6605) Prec@1 35.938 (42.550) Prec@5 58.594 (67.682) Epoch: [24][6210/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.7386 (2.6603) Prec@1 42.969 (42.555) Prec@5 64.062 (67.685) Epoch: [24][6220/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.4108 (2.6603) Prec@1 44.531 (42.556) Prec@5 72.656 (67.686) Epoch: [24][6230/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.7063 (2.6604) Prec@1 37.500 (42.554) Prec@5 67.188 (67.685) Epoch: [24][6240/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.4472 (2.6605) Prec@1 46.094 (42.552) Prec@5 69.531 (67.684) Epoch: [24][6250/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.8886 (2.6605) Prec@1 38.281 (42.551) Prec@5 58.594 (67.684) Epoch: [24][6260/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.5075 (2.6606) Prec@1 43.750 (42.550) Prec@5 66.406 (67.681) Epoch: [24][6270/10010] Time 0.348 (0.330) Data 0.000 (0.001) Loss 2.6826 (2.6607) Prec@1 42.188 (42.550) Prec@5 67.188 (67.678) Epoch: [24][6280/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.7105 (2.6607) Prec@1 46.875 (42.550) Prec@5 67.188 (67.678) Epoch: [24][6290/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.6809 (2.6608) Prec@1 47.656 (42.551) Prec@5 67.188 (67.677) Epoch: [24][6300/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.3329 (2.6609) Prec@1 48.438 (42.549) Prec@5 76.562 (67.676) Epoch: [24][6310/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 3.0791 (2.6608) Prec@1 32.031 (42.554) Prec@5 61.719 (67.676) Epoch: [24][6320/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 2.9110 (2.6609) Prec@1 45.312 (42.555) Prec@5 61.719 (67.673) Epoch: [24][6330/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.7880 (2.6609) Prec@1 40.625 (42.558) Prec@5 60.938 (67.672) Epoch: [24][6340/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.5105 (2.6609) Prec@1 44.531 (42.555) Prec@5 70.312 (67.670) Epoch: [24][6350/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 3.0217 (2.6610) Prec@1 37.500 (42.553) Prec@5 64.062 (67.672) Epoch: [24][6360/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.8381 (2.6611) Prec@1 39.062 (42.552) Prec@5 67.969 (67.672) Epoch: [24][6370/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.5285 (2.6611) Prec@1 45.312 (42.553) Prec@5 72.656 (67.672) Epoch: [24][6380/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.6636 (2.6610) Prec@1 46.875 (42.554) Prec@5 67.969 (67.672) Epoch: [24][6390/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.7119 (2.6612) Prec@1 44.531 (42.551) Prec@5 62.500 (67.668) Epoch: [24][6400/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.4166 (2.6611) Prec@1 49.219 (42.554) Prec@5 71.094 (67.670) Epoch: [24][6410/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 2.5054 (2.6611) Prec@1 45.312 (42.555) Prec@5 68.750 (67.670) Epoch: [24][6420/10010] Time 0.310 (0.330) Data 0.001 (0.001) Loss 2.4648 (2.6610) Prec@1 40.625 (42.556) Prec@5 75.000 (67.673) Epoch: [24][6430/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.7484 (2.6610) Prec@1 35.938 (42.554) Prec@5 66.406 (67.673) Epoch: [24][6440/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 2.6250 (2.6610) Prec@1 47.656 (42.553) Prec@5 63.281 (67.671) Epoch: [24][6450/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.7359 (2.6612) Prec@1 44.531 (42.551) Prec@5 69.531 (67.670) Epoch: [24][6460/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.4550 (2.6611) Prec@1 52.344 (42.554) Prec@5 70.312 (67.670) Epoch: [24][6470/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.7951 (2.6612) Prec@1 40.625 (42.552) Prec@5 63.281 (67.668) Epoch: [24][6480/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 2.8045 (2.6611) Prec@1 42.188 (42.554) Prec@5 62.500 (67.668) Epoch: [24][6490/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.9201 (2.6611) Prec@1 44.531 (42.555) Prec@5 63.281 (67.668) Epoch: [24][6500/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.8286 (2.6611) Prec@1 40.625 (42.555) Prec@5 71.094 (67.668) Epoch: [24][6510/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.1539 (2.6610) Prec@1 49.219 (42.559) Prec@5 78.125 (67.671) Epoch: [24][6520/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.6059 (2.6611) Prec@1 45.312 (42.555) Prec@5 69.531 (67.670) Epoch: [24][6530/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.9465 (2.6610) Prec@1 32.812 (42.556) Prec@5 62.500 (67.672) Epoch: [24][6540/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.7392 (2.6612) Prec@1 44.531 (42.553) Prec@5 71.094 (67.668) Epoch: [24][6550/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.5478 (2.6613) Prec@1 45.312 (42.552) Prec@5 67.188 (67.667) Epoch: [24][6560/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.6582 (2.6613) Prec@1 39.844 (42.551) Prec@5 67.188 (67.667) Epoch: [24][6570/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.6905 (2.6613) Prec@1 43.750 (42.552) Prec@5 70.312 (67.667) Epoch: [24][6580/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.7622 (2.6615) Prec@1 41.406 (42.550) Prec@5 61.719 (67.663) Epoch: [24][6590/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.6674 (2.6616) Prec@1 42.188 (42.548) Prec@5 67.969 (67.661) Epoch: [24][6600/10010] Time 0.313 (0.330) Data 0.001 (0.001) Loss 2.7719 (2.6617) Prec@1 41.406 (42.550) Prec@5 60.938 (67.658) Epoch: [24][6610/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.4793 (2.6617) Prec@1 44.531 (42.546) Prec@5 69.531 (67.658) Epoch: [24][6620/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.7268 (2.6618) Prec@1 42.188 (42.545) Prec@5 64.844 (67.657) Epoch: [24][6630/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.7626 (2.6620) Prec@1 43.750 (42.541) Prec@5 63.281 (67.657) Epoch: [24][6640/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.9524 (2.6620) Prec@1 41.406 (42.539) Prec@5 64.844 (67.656) Epoch: [24][6650/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.8383 (2.6620) Prec@1 38.281 (42.536) Prec@5 61.719 (67.654) Epoch: [24][6660/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.5158 (2.6619) Prec@1 46.875 (42.539) Prec@5 71.094 (67.658) Epoch: [24][6670/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.5764 (2.6619) Prec@1 39.844 (42.537) Prec@5 72.656 (67.659) Epoch: [24][6680/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.6166 (2.6618) Prec@1 42.969 (42.539) Prec@5 70.312 (67.660) Epoch: [24][6690/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.7453 (2.6619) Prec@1 35.156 (42.538) Prec@5 65.625 (67.661) Epoch: [24][6700/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.6948 (2.6620) Prec@1 38.281 (42.534) Prec@5 71.094 (67.659) Epoch: [24][6710/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.6569 (2.6621) Prec@1 41.406 (42.533) Prec@5 68.750 (67.660) Epoch: [24][6720/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.7507 (2.6622) Prec@1 39.062 (42.533) Prec@5 66.406 (67.658) Epoch: [24][6730/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.7305 (2.6623) Prec@1 39.062 (42.531) Prec@5 63.281 (67.654) Epoch: [24][6740/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 2.5765 (2.6622) Prec@1 46.875 (42.533) Prec@5 69.531 (67.657) Epoch: [24][6750/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.4580 (2.6622) Prec@1 45.312 (42.533) Prec@5 70.312 (67.656) Epoch: [24][6760/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.8823 (2.6622) Prec@1 38.281 (42.532) Prec@5 59.375 (67.656) Epoch: [24][6770/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.6225 (2.6623) Prec@1 45.312 (42.533) Prec@5 68.750 (67.656) Epoch: [24][6780/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 3.0334 (2.6622) Prec@1 35.156 (42.532) Prec@5 59.375 (67.656) Epoch: [24][6790/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.9409 (2.6622) Prec@1 40.625 (42.534) Prec@5 63.281 (67.657) Epoch: [24][6800/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.4774 (2.6623) Prec@1 46.094 (42.534) Prec@5 69.531 (67.657) Epoch: [24][6810/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.8886 (2.6623) Prec@1 39.844 (42.534) Prec@5 63.281 (67.655) Epoch: [24][6820/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.7034 (2.6623) Prec@1 44.531 (42.536) Prec@5 68.750 (67.655) Epoch: [24][6830/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.5107 (2.6624) Prec@1 47.656 (42.533) Prec@5 73.438 (67.656) Epoch: [24][6840/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 3.0636 (2.6626) Prec@1 39.844 (42.529) Prec@5 60.156 (67.654) Epoch: [24][6850/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.7861 (2.6627) Prec@1 42.188 (42.525) Prec@5 64.062 (67.653) Epoch: [24][6860/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.6786 (2.6626) Prec@1 42.188 (42.525) Prec@5 64.844 (67.653) Epoch: [24][6870/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.4706 (2.6625) Prec@1 50.000 (42.530) Prec@5 70.312 (67.656) Epoch: [24][6880/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.5804 (2.6624) Prec@1 46.875 (42.531) Prec@5 67.969 (67.657) Epoch: [24][6890/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 2.4335 (2.6624) Prec@1 50.000 (42.533) Prec@5 75.000 (67.659) Epoch: [24][6900/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.2261 (2.6623) Prec@1 49.219 (42.533) Prec@5 73.438 (67.658) Epoch: [24][6910/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.5570 (2.6622) Prec@1 43.750 (42.534) Prec@5 70.312 (67.659) Epoch: [24][6920/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.7826 (2.6622) Prec@1 38.281 (42.534) Prec@5 68.750 (67.660) Epoch: [24][6930/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.6846 (2.6622) Prec@1 42.188 (42.538) Prec@5 65.625 (67.659) Epoch: [24][6940/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.6917 (2.6622) Prec@1 46.094 (42.538) Prec@5 69.531 (67.660) Epoch: [24][6950/10010] Time 0.313 (0.330) Data 0.001 (0.001) Loss 2.9562 (2.6623) Prec@1 34.375 (42.536) Prec@5 64.062 (67.659) Epoch: [24][6960/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.9171 (2.6623) Prec@1 42.188 (42.535) Prec@5 67.188 (67.659) Epoch: [24][6970/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.6902 (2.6624) Prec@1 44.531 (42.535) Prec@5 66.406 (67.656) Epoch: [24][6980/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.5924 (2.6625) Prec@1 42.188 (42.533) Prec@5 68.750 (67.655) Epoch: [24][6990/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.8047 (2.6624) Prec@1 42.188 (42.537) Prec@5 66.406 (67.656) Epoch: [24][7000/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.8532 (2.6623) Prec@1 39.844 (42.537) Prec@5 67.188 (67.659) Epoch: [24][7010/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.2104 (2.6623) Prec@1 48.438 (42.535) Prec@5 73.438 (67.659) Epoch: [24][7020/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 2.6329 (2.6624) Prec@1 45.312 (42.535) Prec@5 66.406 (67.657) Epoch: [24][7030/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.9305 (2.6625) Prec@1 38.281 (42.533) Prec@5 64.844 (67.656) Epoch: [24][7040/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.5284 (2.6625) Prec@1 50.000 (42.533) Prec@5 67.969 (67.657) Epoch: [24][7050/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.6253 (2.6625) Prec@1 45.312 (42.533) Prec@5 61.719 (67.656) Epoch: [24][7060/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.3450 (2.6625) Prec@1 53.125 (42.536) Prec@5 71.875 (67.656) Epoch: [24][7070/10010] Time 0.339 (0.330) Data 0.004 (0.001) Loss 2.8355 (2.6625) Prec@1 41.406 (42.538) Prec@5 66.406 (67.655) Epoch: [24][7080/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.5107 (2.6626) Prec@1 46.875 (42.538) Prec@5 68.750 (67.653) Epoch: [24][7090/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 2.6664 (2.6626) Prec@1 41.406 (42.539) Prec@5 67.969 (67.653) Epoch: [24][7100/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.6804 (2.6625) Prec@1 43.750 (42.542) Prec@5 67.969 (67.655) Epoch: [24][7110/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 2.7949 (2.6626) Prec@1 39.844 (42.542) Prec@5 63.281 (67.653) Epoch: [24][7120/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.8965 (2.6627) Prec@1 39.062 (42.540) Prec@5 63.281 (67.651) Epoch: [24][7130/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.4057 (2.6627) Prec@1 40.625 (42.537) Prec@5 71.875 (67.651) Epoch: [24][7140/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.6126 (2.6627) Prec@1 42.969 (42.539) Prec@5 64.062 (67.649) Epoch: [24][7150/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.3538 (2.6626) Prec@1 44.531 (42.540) Prec@5 69.531 (67.649) Epoch: [24][7160/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.8183 (2.6628) Prec@1 39.844 (42.536) Prec@5 66.406 (67.646) Epoch: [24][7170/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.7231 (2.6630) Prec@1 44.531 (42.535) Prec@5 73.438 (67.644) Epoch: [24][7180/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.5896 (2.6630) Prec@1 42.969 (42.534) Prec@5 69.531 (67.642) Epoch: [24][7190/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.7622 (2.6632) Prec@1 40.625 (42.533) Prec@5 64.844 (67.639) Epoch: [24][7200/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.6581 (2.6632) Prec@1 40.625 (42.533) Prec@5 65.625 (67.638) Epoch: [24][7210/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.6139 (2.6632) Prec@1 44.531 (42.532) Prec@5 67.188 (67.638) Epoch: [24][7220/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.7724 (2.6632) Prec@1 40.625 (42.530) Prec@5 60.938 (67.635) Epoch: [24][7230/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 2.4627 (2.6633) Prec@1 49.219 (42.531) Prec@5 71.875 (67.633) Epoch: [24][7240/10010] Time 0.348 (0.330) Data 0.000 (0.001) Loss 2.7771 (2.6633) Prec@1 43.750 (42.529) Prec@5 64.062 (67.634) Epoch: [24][7250/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.8585 (2.6634) Prec@1 39.844 (42.526) Prec@5 67.969 (67.633) Epoch: [24][7260/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.8827 (2.6634) Prec@1 39.062 (42.526) Prec@5 66.406 (67.632) Epoch: [24][7270/10010] Time 0.348 (0.330) Data 0.001 (0.001) Loss 2.6111 (2.6636) Prec@1 38.281 (42.523) Prec@5 69.531 (67.629) Epoch: [24][7280/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.3418 (2.6635) Prec@1 49.219 (42.525) Prec@5 72.656 (67.628) Epoch: [24][7290/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.5703 (2.6635) Prec@1 45.312 (42.525) Prec@5 70.312 (67.627) Epoch: [24][7300/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.6412 (2.6635) Prec@1 43.750 (42.525) Prec@5 68.750 (67.626) Epoch: [24][7310/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.3959 (2.6635) Prec@1 39.844 (42.524) Prec@5 75.000 (67.627) Epoch: [24][7320/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.3858 (2.6634) Prec@1 49.219 (42.526) Prec@5 71.875 (67.628) Epoch: [24][7330/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.6601 (2.6635) Prec@1 45.312 (42.526) Prec@5 71.875 (67.628) Epoch: [24][7340/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.5642 (2.6634) Prec@1 45.312 (42.526) Prec@5 71.875 (67.629) Epoch: [24][7350/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 2.7218 (2.6634) Prec@1 43.750 (42.528) Prec@5 64.844 (67.629) Epoch: [24][7360/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.5772 (2.6636) Prec@1 45.312 (42.526) Prec@5 68.750 (67.628) Epoch: [24][7370/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.8055 (2.6636) Prec@1 39.062 (42.526) Prec@5 63.281 (67.627) Epoch: [24][7380/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.5104 (2.6635) Prec@1 40.625 (42.524) Prec@5 65.625 (67.628) Epoch: [24][7390/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 3.1643 (2.6635) Prec@1 37.500 (42.523) Prec@5 64.844 (67.626) Epoch: [24][7400/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.6267 (2.6634) Prec@1 43.750 (42.523) Prec@5 61.719 (67.628) Epoch: [24][7410/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 2.5609 (2.6633) Prec@1 46.875 (42.528) Prec@5 68.750 (67.632) Epoch: [24][7420/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.8818 (2.6631) Prec@1 39.062 (42.533) Prec@5 60.156 (67.634) Epoch: [24][7430/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 2.8036 (2.6632) Prec@1 43.750 (42.534) Prec@5 62.500 (67.634) Epoch: [24][7440/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 2.4737 (2.6633) Prec@1 49.219 (42.534) Prec@5 67.969 (67.633) Epoch: [24][7450/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 2.7124 (2.6632) Prec@1 44.531 (42.536) Prec@5 71.094 (67.636) Epoch: [24][7460/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.4325 (2.6630) Prec@1 43.750 (42.537) Prec@5 70.312 (67.638) Epoch: [24][7470/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.5325 (2.6629) Prec@1 46.875 (42.541) Prec@5 67.969 (67.639) Epoch: [24][7480/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.5761 (2.6630) Prec@1 42.969 (42.541) Prec@5 68.750 (67.637) Epoch: [24][7490/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.8854 (2.6631) Prec@1 38.281 (42.540) Prec@5 64.844 (67.636) Epoch: [24][7500/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.6967 (2.6632) Prec@1 42.188 (42.540) Prec@5 67.188 (67.634) Epoch: [24][7510/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.5944 (2.6632) Prec@1 42.969 (42.541) Prec@5 64.844 (67.633) Epoch: [24][7520/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 3.0884 (2.6633) Prec@1 37.500 (42.537) Prec@5 60.156 (67.631) Epoch: [24][7530/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.6132 (2.6634) Prec@1 46.094 (42.538) Prec@5 67.188 (67.629) Epoch: [24][7540/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.4239 (2.6635) Prec@1 46.875 (42.534) Prec@5 71.875 (67.628) Epoch: [24][7550/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.8055 (2.6636) Prec@1 40.625 (42.534) Prec@5 66.406 (67.629) Epoch: [24][7560/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.2847 (2.6635) Prec@1 49.219 (42.536) Prec@5 69.531 (67.630) Epoch: [24][7570/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.8091 (2.6634) Prec@1 42.188 (42.536) Prec@5 65.625 (67.630) Epoch: [24][7580/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.0765 (2.6634) Prec@1 52.344 (42.538) Prec@5 81.250 (67.631) Epoch: [24][7590/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.5538 (2.6634) Prec@1 40.625 (42.538) Prec@5 69.531 (67.631) Epoch: [24][7600/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.4076 (2.6633) Prec@1 42.969 (42.538) Prec@5 71.875 (67.631) Epoch: [24][7610/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.6710 (2.6633) Prec@1 40.625 (42.539) Prec@5 67.188 (67.631) Epoch: [24][7620/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.9494 (2.6632) Prec@1 38.281 (42.541) Prec@5 62.500 (67.630) Epoch: [24][7630/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.6853 (2.6633) Prec@1 42.969 (42.541) Prec@5 68.750 (67.630) Epoch: [24][7640/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.4990 (2.6633) Prec@1 47.656 (42.541) Prec@5 71.094 (67.632) Epoch: [24][7650/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 2.6129 (2.6632) Prec@1 47.656 (42.544) Prec@5 70.312 (67.631) Epoch: [24][7660/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 2.8363 (2.6632) Prec@1 39.844 (42.545) Prec@5 67.188 (67.633) Epoch: [24][7670/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 2.7451 (2.6633) Prec@1 36.719 (42.544) Prec@5 68.750 (67.633) Epoch: [24][7680/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.4367 (2.6632) Prec@1 42.969 (42.545) Prec@5 71.094 (67.632) Epoch: [24][7690/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.4431 (2.6632) Prec@1 45.312 (42.547) Prec@5 70.312 (67.634) Epoch: [24][7700/10010] Time 0.349 (0.330) Data 0.000 (0.001) Loss 2.9713 (2.6632) Prec@1 38.281 (42.549) Prec@5 60.156 (67.635) Epoch: [24][7710/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.9480 (2.6631) Prec@1 37.500 (42.549) Prec@5 65.625 (67.637) Epoch: [24][7720/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.6493 (2.6632) Prec@1 37.500 (42.547) Prec@5 71.875 (67.636) Epoch: [24][7730/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.6254 (2.6631) Prec@1 46.094 (42.551) Prec@5 64.062 (67.637) Epoch: [24][7740/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.8923 (2.6630) Prec@1 39.844 (42.552) Prec@5 62.500 (67.638) Epoch: [24][7750/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.9462 (2.6632) Prec@1 35.938 (42.549) Prec@5 63.281 (67.634) Epoch: [24][7760/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.6163 (2.6633) Prec@1 46.094 (42.548) Prec@5 70.312 (67.632) Epoch: [24][7770/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.3722 (2.6632) Prec@1 46.094 (42.547) Prec@5 76.562 (67.633) Epoch: [24][7780/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.6147 (2.6631) Prec@1 43.750 (42.549) Prec@5 66.406 (67.633) Epoch: [24][7790/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.7613 (2.6632) Prec@1 45.312 (42.548) Prec@5 67.188 (67.631) Epoch: [24][7800/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.6789 (2.6632) Prec@1 41.406 (42.550) Prec@5 67.188 (67.633) Epoch: [24][7810/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 3.0057 (2.6632) Prec@1 37.500 (42.549) Prec@5 69.531 (67.633) Epoch: [24][7820/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 3.0582 (2.6633) Prec@1 35.156 (42.549) Prec@5 59.375 (67.631) Epoch: [24][7830/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.4873 (2.6633) Prec@1 46.875 (42.547) Prec@5 68.750 (67.631) Epoch: [24][7840/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.8967 (2.6635) Prec@1 38.281 (42.543) Prec@5 60.156 (67.627) Epoch: [24][7850/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.7254 (2.6636) Prec@1 41.406 (42.539) Prec@5 69.531 (67.626) Epoch: [24][7860/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.7385 (2.6635) Prec@1 39.844 (42.538) Prec@5 67.188 (67.628) Epoch: [24][7870/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.3539 (2.6635) Prec@1 47.656 (42.536) Prec@5 75.781 (67.630) Epoch: [24][7880/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.5593 (2.6634) Prec@1 45.312 (42.538) Prec@5 71.094 (67.633) Epoch: [24][7890/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.6457 (2.6634) Prec@1 44.531 (42.539) Prec@5 67.188 (67.633) Epoch: [24][7900/10010] Time 0.329 (0.330) Data 0.002 (0.001) Loss 2.7286 (2.6633) Prec@1 36.719 (42.540) Prec@5 71.094 (67.635) Epoch: [24][7910/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.7493 (2.6634) Prec@1 39.062 (42.539) Prec@5 64.062 (67.634) Epoch: [24][7920/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.1224 (2.6632) Prec@1 51.562 (42.545) Prec@5 75.781 (67.636) Epoch: [24][7930/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.4946 (2.6631) Prec@1 36.719 (42.545) Prec@5 75.781 (67.638) Epoch: [24][7940/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 3.0293 (2.6632) Prec@1 38.281 (42.542) Prec@5 60.938 (67.637) Epoch: [24][7950/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.9210 (2.6633) Prec@1 35.938 (42.543) Prec@5 63.281 (67.634) Epoch: [24][7960/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.1254 (2.6632) Prec@1 50.781 (42.543) Prec@5 78.125 (67.634) Epoch: [24][7970/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.4211 (2.6632) Prec@1 46.875 (42.541) Prec@5 67.188 (67.633) Epoch: [24][7980/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 2.7975 (2.6632) Prec@1 45.312 (42.541) Prec@5 63.281 (67.634) Epoch: [24][7990/10010] Time 0.314 (0.330) Data 0.000 (0.001) Loss 2.8882 (2.6633) Prec@1 35.938 (42.541) Prec@5 60.938 (67.631) Epoch: [24][8000/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.2214 (2.6632) Prec@1 53.125 (42.542) Prec@5 75.000 (67.633) Epoch: [24][8010/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.6215 (2.6633) Prec@1 41.406 (42.541) Prec@5 65.625 (67.632) Epoch: [24][8020/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.5574 (2.6633) Prec@1 48.438 (42.538) Prec@5 67.969 (67.631) Epoch: [24][8030/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.7397 (2.6633) Prec@1 40.625 (42.536) Prec@5 67.188 (67.630) Epoch: [24][8040/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.4467 (2.6633) Prec@1 43.750 (42.536) Prec@5 71.094 (67.632) Epoch: [24][8050/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.4248 (2.6632) Prec@1 43.750 (42.537) Prec@5 70.312 (67.632) Epoch: [24][8060/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.6335 (2.6633) Prec@1 43.750 (42.536) Prec@5 64.844 (67.631) Epoch: [24][8070/10010] Time 0.311 (0.330) Data 0.001 (0.001) Loss 2.5018 (2.6633) Prec@1 49.219 (42.537) Prec@5 68.750 (67.630) Epoch: [24][8080/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.6749 (2.6633) Prec@1 39.844 (42.537) Prec@5 65.625 (67.631) Epoch: [24][8090/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.4839 (2.6633) Prec@1 45.312 (42.537) Prec@5 69.531 (67.634) Epoch: [24][8100/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.5532 (2.6633) Prec@1 43.750 (42.537) Prec@5 71.094 (67.632) Epoch: [24][8110/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.9935 (2.6635) Prec@1 35.156 (42.533) Prec@5 64.062 (67.629) Epoch: [24][8120/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.2867 (2.6634) Prec@1 42.969 (42.536) Prec@5 76.562 (67.631) Epoch: [24][8130/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.7260 (2.6634) Prec@1 41.406 (42.538) Prec@5 65.625 (67.630) Epoch: [24][8140/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.3423 (2.6633) Prec@1 49.219 (42.539) Prec@5 74.219 (67.632) Epoch: [24][8150/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.7946 (2.6633) Prec@1 40.625 (42.540) Prec@5 66.406 (67.633) /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: [24][8160/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.5492 (2.6632) Prec@1 47.656 (42.542) Prec@5 68.750 (67.635) Epoch: [24][8170/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.9555 (2.6632) Prec@1 42.969 (42.545) Prec@5 61.719 (67.634) Epoch: [24][8180/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.4044 (2.6632) Prec@1 47.656 (42.544) Prec@5 71.094 (67.634) Epoch: [24][8190/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.4383 (2.6632) Prec@1 48.438 (42.544) Prec@5 72.656 (67.633) Epoch: [24][8200/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.5931 (2.6633) Prec@1 42.969 (42.543) Prec@5 73.438 (67.631) Epoch: [24][8210/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 2.3715 (2.6634) Prec@1 47.656 (42.541) Prec@5 69.531 (67.629) Epoch: [24][8220/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 3.1169 (2.6636) Prec@1 30.469 (42.540) Prec@5 57.812 (67.628) Epoch: [24][8230/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 3.1254 (2.6637) Prec@1 32.812 (42.539) Prec@5 65.625 (67.626) Epoch: [24][8240/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.6540 (2.6637) Prec@1 43.750 (42.539) Prec@5 65.625 (67.624) Epoch: [24][8250/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 2.7444 (2.6638) Prec@1 39.844 (42.536) Prec@5 64.844 (67.622) Epoch: [24][8260/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.5369 (2.6639) Prec@1 41.406 (42.534) Prec@5 70.312 (67.622) Epoch: [24][8270/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.6541 (2.6640) Prec@1 41.406 (42.531) Prec@5 71.094 (67.620) Epoch: [24][8280/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.6125 (2.6640) Prec@1 41.406 (42.533) Prec@5 68.750 (67.620) Epoch: [24][8290/10010] Time 0.348 (0.330) Data 0.000 (0.001) Loss 2.7940 (2.6640) Prec@1 42.188 (42.533) Prec@5 62.500 (67.620) Epoch: [24][8300/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.8427 (2.6641) Prec@1 39.062 (42.534) Prec@5 65.625 (67.619) Epoch: [24][8310/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 2.4391 (2.6641) Prec@1 39.844 (42.535) Prec@5 72.656 (67.618) Epoch: [24][8320/10010] Time 0.311 (0.330) Data 0.001 (0.001) Loss 2.6919 (2.6643) Prec@1 36.719 (42.533) Prec@5 67.969 (67.615) Epoch: [24][8330/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.5868 (2.6643) Prec@1 46.094 (42.534) Prec@5 73.438 (67.614) Epoch: [24][8340/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.9561 (2.6645) Prec@1 35.156 (42.533) Prec@5 64.062 (67.612) Epoch: [24][8350/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.6590 (2.6645) Prec@1 43.750 (42.534) Prec@5 67.969 (67.611) Epoch: [24][8360/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 2.6822 (2.6645) Prec@1 43.750 (42.533) Prec@5 68.750 (67.610) Epoch: [24][8370/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.6699 (2.6645) Prec@1 40.625 (42.533) Prec@5 64.844 (67.611) Epoch: [24][8380/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.4290 (2.6646) Prec@1 43.750 (42.533) Prec@5 74.219 (67.611) Epoch: [24][8390/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.3608 (2.6647) Prec@1 49.219 (42.531) Prec@5 67.188 (67.609) Epoch: [24][8400/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.6063 (2.6647) Prec@1 35.938 (42.530) Prec@5 71.875 (67.608) Epoch: [24][8410/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.3757 (2.6647) Prec@1 49.219 (42.530) Prec@5 69.531 (67.606) Epoch: [24][8420/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.7846 (2.6648) Prec@1 42.969 (42.530) Prec@5 61.719 (67.604) Epoch: [24][8430/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.6395 (2.6648) Prec@1 44.531 (42.531) Prec@5 67.188 (67.603) Epoch: [24][8440/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.4300 (2.6648) Prec@1 46.094 (42.530) Prec@5 71.094 (67.603) Epoch: [24][8450/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.9320 (2.6649) Prec@1 37.500 (42.529) Prec@5 61.719 (67.604) Epoch: [24][8460/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.8529 (2.6649) Prec@1 41.406 (42.529) Prec@5 65.625 (67.602) Epoch: [24][8470/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.7573 (2.6649) Prec@1 39.062 (42.527) Prec@5 64.844 (67.602) Epoch: [24][8480/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.6400 (2.6650) Prec@1 43.750 (42.525) Prec@5 65.625 (67.601) Epoch: [24][8490/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 2.2760 (2.6649) Prec@1 50.781 (42.527) Prec@5 73.438 (67.604) Epoch: [24][8500/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.8596 (2.6649) Prec@1 43.750 (42.529) Prec@5 60.156 (67.604) Epoch: [24][8510/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.9025 (2.6650) Prec@1 39.062 (42.527) Prec@5 56.250 (67.600) Epoch: [24][8520/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.8190 (2.6649) Prec@1 42.188 (42.529) Prec@5 60.156 (67.600) Epoch: [24][8530/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.6458 (2.6650) Prec@1 42.969 (42.529) Prec@5 68.750 (67.600) Epoch: [24][8540/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.7810 (2.6649) Prec@1 46.094 (42.530) Prec@5 63.281 (67.600) Epoch: [24][8550/10010] Time 0.332 (0.330) Data 0.003 (0.001) Loss 2.5338 (2.6650) Prec@1 42.969 (42.528) Prec@5 69.531 (67.599) Epoch: [24][8560/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.8868 (2.6651) Prec@1 40.625 (42.529) Prec@5 67.188 (67.597) Epoch: [24][8570/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.9304 (2.6651) Prec@1 35.156 (42.527) Prec@5 64.844 (67.596) Epoch: [24][8580/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.5355 (2.6651) Prec@1 46.094 (42.526) Prec@5 71.094 (67.597) Epoch: [24][8590/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.4357 (2.6651) Prec@1 47.656 (42.527) Prec@5 76.562 (67.598) Epoch: [24][8600/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 2.8826 (2.6651) Prec@1 40.625 (42.525) Prec@5 64.062 (67.597) Epoch: [24][8610/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.3673 (2.6652) Prec@1 53.906 (42.527) Prec@5 71.875 (67.597) Epoch: [24][8620/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.6793 (2.6651) Prec@1 42.188 (42.528) Prec@5 72.656 (67.597) Epoch: [24][8630/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.9076 (2.6651) Prec@1 41.406 (42.529) Prec@5 61.719 (67.599) Epoch: [24][8640/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.4501 (2.6652) Prec@1 42.188 (42.529) Prec@5 69.531 (67.597) Epoch: [24][8650/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.5750 (2.6653) Prec@1 48.438 (42.527) Prec@5 68.750 (67.595) Epoch: [24][8660/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.3577 (2.6652) Prec@1 45.312 (42.529) Prec@5 70.312 (67.596) Epoch: [24][8670/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.4028 (2.6651) Prec@1 48.438 (42.533) Prec@5 74.219 (67.598) Epoch: [24][8680/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.6857 (2.6651) Prec@1 46.875 (42.534) Prec@5 66.406 (67.599) Epoch: [24][8690/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.9289 (2.6652) Prec@1 37.500 (42.532) Prec@5 57.812 (67.597) Epoch: [24][8700/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.6922 (2.6651) Prec@1 42.188 (42.532) Prec@5 67.969 (67.598) Epoch: [24][8710/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.6361 (2.6651) Prec@1 41.406 (42.533) Prec@5 67.969 (67.598) Epoch: [24][8720/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.7221 (2.6651) Prec@1 42.969 (42.532) Prec@5 65.625 (67.599) Epoch: [24][8730/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.7794 (2.6651) Prec@1 43.750 (42.531) Prec@5 63.281 (67.598) Epoch: [24][8740/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.7469 (2.6650) Prec@1 39.062 (42.532) Prec@5 69.531 (67.599) Epoch: [24][8750/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.7241 (2.6650) Prec@1 38.281 (42.533) Prec@5 64.062 (67.598) Epoch: [24][8760/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.6007 (2.6650) Prec@1 41.406 (42.530) Prec@5 67.969 (67.599) Epoch: [24][8770/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.7664 (2.6650) Prec@1 40.625 (42.532) Prec@5 66.406 (67.601) Epoch: [24][8780/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.4418 (2.6651) Prec@1 42.969 (42.531) Prec@5 69.531 (67.598) Epoch: [24][8790/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 3.0249 (2.6651) Prec@1 35.156 (42.532) Prec@5 57.031 (67.598) Epoch: [24][8800/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.6384 (2.6651) Prec@1 42.188 (42.530) Prec@5 67.969 (67.598) Epoch: [24][8810/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 3.1641 (2.6652) Prec@1 31.250 (42.527) Prec@5 58.594 (67.597) Epoch: [24][8820/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.3678 (2.6651) Prec@1 48.438 (42.528) Prec@5 74.219 (67.598) Epoch: [24][8830/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.5155 (2.6652) Prec@1 46.875 (42.528) Prec@5 71.094 (67.597) Epoch: [24][8840/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.8322 (2.6651) Prec@1 41.406 (42.532) Prec@5 62.500 (67.599) Epoch: [24][8850/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.8129 (2.6651) Prec@1 44.531 (42.530) Prec@5 66.406 (67.597) Epoch: [24][8860/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.6612 (2.6651) Prec@1 42.969 (42.532) Prec@5 65.625 (67.597) Epoch: [24][8870/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.8774 (2.6653) Prec@1 35.156 (42.528) Prec@5 67.188 (67.596) Epoch: [24][8880/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.4481 (2.6652) Prec@1 44.531 (42.529) Prec@5 71.875 (67.596) Epoch: [24][8890/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 2.6840 (2.6653) Prec@1 41.406 (42.527) Prec@5 65.625 (67.593) Epoch: [24][8900/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.3767 (2.6652) Prec@1 48.438 (42.529) Prec@5 72.656 (67.593) Epoch: [24][8910/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.7428 (2.6652) Prec@1 46.094 (42.530) Prec@5 67.188 (67.596) Epoch: [24][8920/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 3.0303 (2.6653) Prec@1 38.281 (42.529) Prec@5 67.969 (67.594) Epoch: [24][8930/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.8840 (2.6653) Prec@1 38.281 (42.529) Prec@5 61.719 (67.591) Epoch: [24][8940/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.3259 (2.6654) Prec@1 46.875 (42.528) Prec@5 68.750 (67.590) Epoch: [24][8950/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.8365 (2.6654) Prec@1 37.500 (42.526) Prec@5 60.938 (67.590) Epoch: [24][8960/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.9577 (2.6653) Prec@1 36.719 (42.529) Prec@5 60.938 (67.590) Epoch: [24][8970/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 2.8629 (2.6653) Prec@1 33.594 (42.525) Prec@5 62.500 (67.590) Epoch: [24][8980/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.5059 (2.6652) Prec@1 42.969 (42.525) Prec@5 68.750 (67.591) Epoch: [24][8990/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.9284 (2.6653) Prec@1 37.500 (42.524) Prec@5 62.500 (67.590) Epoch: [24][9000/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.5299 (2.6653) Prec@1 40.625 (42.525) Prec@5 75.000 (67.589) Epoch: [24][9010/10010] Time 0.319 (0.331) Data 0.007 (0.002) Loss 2.8378 (2.6653) Prec@1 40.625 (42.524) Prec@5 65.625 (67.589) Epoch: [24][9020/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 2.3923 (2.6652) Prec@1 47.656 (42.524) Prec@5 68.750 (67.589) Epoch: [24][9030/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.4399 (2.6652) Prec@1 46.094 (42.526) Prec@5 71.094 (67.591) Epoch: [24][9040/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.5329 (2.6650) Prec@1 39.844 (42.527) Prec@5 71.875 (67.594) Epoch: [24][9050/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.6699 (2.6652) Prec@1 41.406 (42.524) Prec@5 68.750 (67.592) Epoch: [24][9060/10010] Time 0.322 (0.330) Data 0.001 (0.002) Loss 2.6513 (2.6651) Prec@1 37.500 (42.525) Prec@5 69.531 (67.594) Epoch: [24][9070/10010] Time 0.339 (0.330) Data 0.001 (0.002) Loss 2.7007 (2.6652) Prec@1 43.750 (42.525) Prec@5 69.531 (67.593) Epoch: [24][9080/10010] Time 0.327 (0.330) Data 0.001 (0.002) Loss 2.6032 (2.6651) Prec@1 46.094 (42.526) Prec@5 71.094 (67.594) Epoch: [24][9090/10010] Time 0.332 (0.330) Data 0.001 (0.002) Loss 2.3801 (2.6650) Prec@1 45.312 (42.525) Prec@5 74.219 (67.594) Epoch: [24][9100/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 3.1389 (2.6650) Prec@1 30.469 (42.524) Prec@5 59.375 (67.594) Epoch: [24][9110/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.7815 (2.6651) Prec@1 42.969 (42.523) Prec@5 68.750 (67.593) Epoch: [24][9120/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.7541 (2.6652) Prec@1 42.969 (42.521) Prec@5 71.094 (67.591) Epoch: [24][9130/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.8380 (2.6652) Prec@1 33.594 (42.522) Prec@5 64.062 (67.591) Epoch: [24][9140/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 2.7224 (2.6653) Prec@1 42.969 (42.522) Prec@5 65.625 (67.589) Epoch: [24][9150/10010] Time 0.337 (0.330) Data 0.000 (0.002) Loss 2.6536 (2.6654) Prec@1 45.312 (42.522) Prec@5 69.531 (67.588) Epoch: [24][9160/10010] Time 0.330 (0.330) Data 0.000 (0.002) Loss 2.6748 (2.6653) Prec@1 45.312 (42.525) Prec@5 67.969 (67.590) Epoch: [24][9170/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.8145 (2.6654) Prec@1 41.406 (42.524) Prec@5 67.188 (67.588) Epoch: [24][9180/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.8572 (2.6655) Prec@1 45.312 (42.524) Prec@5 69.531 (67.589) Epoch: [24][9190/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.1119 (2.6654) Prec@1 50.000 (42.525) Prec@5 78.125 (67.592) Epoch: [24][9200/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.8914 (2.6655) Prec@1 36.719 (42.523) Prec@5 65.625 (67.591) Epoch: [24][9210/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.6000 (2.6655) Prec@1 46.094 (42.524) Prec@5 65.625 (67.590) Epoch: [24][9220/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.6046 (2.6655) Prec@1 44.531 (42.524) Prec@5 69.531 (67.590) Epoch: [24][9230/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.7118 (2.6654) Prec@1 43.750 (42.524) Prec@5 66.406 (67.591) Epoch: [24][9240/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.8013 (2.6654) Prec@1 45.312 (42.525) Prec@5 63.281 (67.592) Epoch: [24][9250/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.4211 (2.6653) Prec@1 50.000 (42.527) Prec@5 75.000 (67.593) Epoch: [24][9260/10010] Time 0.324 (0.331) Data 0.004 (0.002) Loss 2.7443 (2.6653) Prec@1 38.281 (42.528) Prec@5 70.312 (67.594) Epoch: [24][9270/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.8737 (2.6653) Prec@1 39.062 (42.529) Prec@5 66.406 (67.594) Epoch: [24][9280/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.6468 (2.6653) Prec@1 41.406 (42.528) Prec@5 72.656 (67.594) Epoch: [24][9290/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.5067 (2.6653) Prec@1 46.094 (42.528) Prec@5 67.188 (67.596) Epoch: [24][9300/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.6299 (2.6653) Prec@1 38.281 (42.525) Prec@5 65.625 (67.594) Epoch: [24][9310/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 2.4453 (2.6654) Prec@1 50.000 (42.525) Prec@5 71.094 (67.593) Epoch: [24][9320/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.3443 (2.6653) Prec@1 47.656 (42.527) Prec@5 71.875 (67.595) Epoch: [24][9330/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.2560 (2.6653) Prec@1 48.438 (42.527) Prec@5 75.000 (67.594) Epoch: [24][9340/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.4041 (2.6653) Prec@1 46.875 (42.526) Prec@5 71.094 (67.593) Epoch: [24][9350/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.7831 (2.6653) Prec@1 39.844 (42.525) Prec@5 66.406 (67.593) Epoch: [24][9360/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.9507 (2.6652) Prec@1 43.750 (42.530) Prec@5 64.844 (67.595) Epoch: [24][9370/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.8476 (2.6653) Prec@1 35.938 (42.528) Prec@5 61.719 (67.593) Epoch: [24][9380/10010] Time 0.316 (0.331) Data 0.000 (0.002) Loss 2.4838 (2.6653) Prec@1 44.531 (42.528) Prec@5 68.750 (67.594) Epoch: [24][9390/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.5209 (2.6654) Prec@1 42.969 (42.527) Prec@5 67.969 (67.592) Epoch: [24][9400/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 3.0025 (2.6654) Prec@1 35.938 (42.529) Prec@5 61.719 (67.591) Epoch: [24][9410/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 3.0734 (2.6654) Prec@1 35.938 (42.528) Prec@5 59.375 (67.590) Epoch: [24][9420/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.5121 (2.6654) Prec@1 41.406 (42.527) Prec@5 71.875 (67.589) Epoch: [24][9430/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.6316 (2.6656) Prec@1 39.844 (42.525) Prec@5 70.312 (67.588) Epoch: [24][9440/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.7716 (2.6656) Prec@1 41.406 (42.523) Prec@5 63.281 (67.587) Epoch: [24][9450/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.4299 (2.6656) Prec@1 42.969 (42.523) Prec@5 71.875 (67.587) Epoch: [24][9460/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.8041 (2.6656) Prec@1 39.062 (42.522) Prec@5 65.625 (67.586) /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: [24][9470/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.5525 (2.6656) Prec@1 38.281 (42.520) Prec@5 69.531 (67.585) Epoch: [24][9480/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.5807 (2.6656) Prec@1 40.625 (42.522) Prec@5 70.312 (67.587) Epoch: [24][9490/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.8213 (2.6656) Prec@1 38.281 (42.522) Prec@5 64.844 (67.586) Epoch: [24][9500/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.8474 (2.6657) Prec@1 42.188 (42.519) Prec@5 64.062 (67.583) Epoch: [24][9510/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.8171 (2.6657) Prec@1 37.500 (42.519) Prec@5 64.062 (67.583) Epoch: [24][9520/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.7269 (2.6657) Prec@1 42.969 (42.519) Prec@5 62.500 (67.581) Epoch: [24][9530/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.7255 (2.6658) Prec@1 45.312 (42.518) Prec@5 65.625 (67.581) Epoch: [24][9540/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.8674 (2.6658) Prec@1 37.500 (42.518) Prec@5 60.938 (67.580) Epoch: [24][9550/10010] Time 0.315 (0.331) Data 0.001 (0.002) Loss 2.6215 (2.6659) Prec@1 42.969 (42.516) Prec@5 71.875 (67.580) Epoch: [24][9560/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.6707 (2.6659) Prec@1 42.969 (42.516) Prec@5 69.531 (67.580) Epoch: [24][9570/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.4885 (2.6659) Prec@1 48.438 (42.517) Prec@5 70.312 (67.580) Epoch: [24][9580/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.3698 (2.6659) Prec@1 50.781 (42.518) Prec@5 71.094 (67.580) Epoch: [24][9590/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.7960 (2.6659) Prec@1 35.938 (42.518) Prec@5 64.062 (67.581) Epoch: [24][9600/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.7208 (2.6659) Prec@1 38.281 (42.516) Prec@5 68.750 (67.580) Epoch: [24][9610/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.6064 (2.6659) Prec@1 39.844 (42.516) Prec@5 67.969 (67.580) Epoch: [24][9620/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.6613 (2.6659) Prec@1 42.969 (42.517) Prec@5 67.969 (67.580) Epoch: [24][9630/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.5607 (2.6660) Prec@1 46.094 (42.514) Prec@5 70.312 (67.579) Epoch: [24][9640/10010] Time 0.316 (0.331) Data 0.001 (0.002) Loss 2.3466 (2.6661) Prec@1 46.875 (42.514) Prec@5 71.094 (67.576) Epoch: [24][9650/10010] Time 0.348 (0.331) Data 0.000 (0.002) Loss 2.6819 (2.6661) Prec@1 41.406 (42.513) Prec@5 67.969 (67.576) Epoch: [24][9660/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.5116 (2.6661) Prec@1 46.875 (42.513) Prec@5 66.406 (67.575) Epoch: [24][9670/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.8770 (2.6661) Prec@1 46.094 (42.512) Prec@5 65.625 (67.574) Epoch: [24][9680/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.9257 (2.6663) Prec@1 40.625 (42.511) Prec@5 65.625 (67.572) Epoch: [24][9690/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 3.1088 (2.6664) Prec@1 35.156 (42.509) Prec@5 64.844 (67.570) Epoch: [24][9700/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.3887 (2.6664) Prec@1 47.656 (42.511) Prec@5 73.438 (67.571) Epoch: [24][9710/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.5160 (2.6665) Prec@1 39.844 (42.509) Prec@5 71.094 (67.570) Epoch: [24][9720/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.8616 (2.6665) Prec@1 41.406 (42.509) Prec@5 66.406 (67.569) Epoch: [24][9730/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.5131 (2.6664) Prec@1 47.656 (42.510) Prec@5 66.406 (67.568) Epoch: [24][9740/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.7484 (2.6665) Prec@1 42.969 (42.510) Prec@5 63.281 (67.568) Epoch: [24][9750/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.6681 (2.6665) Prec@1 47.656 (42.510) Prec@5 68.750 (67.566) Epoch: [24][9760/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.8615 (2.6667) Prec@1 41.406 (42.508) Prec@5 63.281 (67.563) Epoch: [24][9770/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 2.9245 (2.6668) Prec@1 40.625 (42.510) Prec@5 62.500 (67.563) Epoch: [24][9780/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.3581 (2.6668) Prec@1 46.875 (42.512) Prec@5 73.438 (67.561) Epoch: [24][9790/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.4663 (2.6668) Prec@1 46.094 (42.511) Prec@5 71.094 (67.560) Epoch: [24][9800/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.5149 (2.6668) Prec@1 39.844 (42.510) Prec@5 71.094 (67.561) Epoch: [24][9810/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.7348 (2.6668) Prec@1 44.531 (42.510) Prec@5 65.625 (67.563) Epoch: [24][9820/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.7527 (2.6668) Prec@1 40.625 (42.510) Prec@5 65.625 (67.562) Epoch: [24][9830/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.5719 (2.6667) Prec@1 42.188 (42.511) Prec@5 68.750 (67.565) Epoch: [24][9840/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 2.4497 (2.6666) Prec@1 45.312 (42.513) Prec@5 71.875 (67.567) Epoch: [24][9850/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.5433 (2.6666) Prec@1 51.562 (42.514) Prec@5 69.531 (67.567) Epoch: [24][9860/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.8607 (2.6667) Prec@1 37.500 (42.511) Prec@5 66.406 (67.566) Epoch: [24][9870/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.8495 (2.6666) Prec@1 43.750 (42.512) Prec@5 63.281 (67.567) Epoch: [24][9880/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 2.8524 (2.6667) Prec@1 39.844 (42.512) Prec@5 66.406 (67.567) Epoch: [24][9890/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.3952 (2.6666) Prec@1 44.531 (42.512) Prec@5 71.094 (67.568) Epoch: [24][9900/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.7226 (2.6667) Prec@1 42.188 (42.511) Prec@5 65.625 (67.567) Epoch: [24][9910/10010] Time 0.314 (0.331) Data 0.001 (0.002) Loss 2.4492 (2.6667) Prec@1 43.750 (42.510) Prec@5 68.750 (67.566) Epoch: [24][9920/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.2482 (2.6667) Prec@1 47.656 (42.510) Prec@5 70.312 (67.566) Epoch: [24][9930/10010] Time 0.309 (0.331) Data 0.001 (0.002) Loss 2.7631 (2.6668) Prec@1 41.406 (42.508) Prec@5 60.156 (67.564) Epoch: [24][9940/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.7547 (2.6668) Prec@1 38.281 (42.507) Prec@5 64.844 (67.565) Epoch: [24][9950/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.9010 (2.6668) Prec@1 42.188 (42.506) Prec@5 63.281 (67.564) Epoch: [24][9960/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.5913 (2.6669) Prec@1 46.875 (42.507) Prec@5 73.438 (67.565) Epoch: [24][9970/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.8404 (2.6668) Prec@1 36.719 (42.507) Prec@5 64.062 (67.565) Epoch: [24][9980/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.6739 (2.6668) Prec@1 42.188 (42.509) Prec@5 67.969 (67.566) Epoch: [24][9990/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.5411 (2.6669) Prec@1 46.875 (42.509) Prec@5 73.438 (67.564) Epoch: [24][10000/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.6681 (2.6668) Prec@1 42.969 (42.509) Prec@5 68.750 (67.566) Test: [0/391] Time 1.445 (1.445) Loss 2.2084 (2.2084) Prec@1 54.688 (54.688) Prec@5 77.344 (77.344) Test: [10/391] Time 0.111 (0.230) Loss 2.7861 (1.8665) Prec@1 42.969 (57.741) Prec@5 67.969 (82.457) Test: [20/391] Time 0.108 (0.176) Loss 2.0531 (2.1614) Prec@1 53.125 (50.670) Prec@5 78.906 (77.418) Test: [30/391] Time 0.114 (0.154) Loss 2.5842 (2.2394) Prec@1 47.656 (48.311) Prec@5 75.000 (76.411) Test: [40/391] Time 0.105 (0.144) Loss 3.0259 (2.0814) Prec@1 35.156 (51.886) Prec@5 60.156 (78.011) Test: [50/391] Time 0.107 (0.137) Loss 1.0157 (2.1807) Prec@1 77.344 (50.536) Prec@5 90.625 (76.241) Test: [60/391] Time 0.110 (0.132) Loss 2.3545 (2.0842) Prec@1 37.500 (52.344) Prec@5 75.000 (77.626) Test: [70/391] Time 0.113 (0.129) Loss 2.1396 (2.1488) Prec@1 46.875 (50.484) Prec@5 75.781 (76.364) Test: [80/391] Time 0.102 (0.127) Loss 1.8744 (2.1576) Prec@1 47.656 (49.470) Prec@5 80.469 (76.437) Test: [90/391] Time 0.107 (0.125) Loss 2.1044 (2.1578) Prec@1 48.438 (49.236) Prec@5 82.812 (76.717) Test: [100/391] Time 0.103 (0.123) Loss 1.6728 (2.1264) Prec@1 53.125 (49.172) Prec@5 87.500 (77.529) Test: [110/391] Time 0.110 (0.122) Loss 1.8203 (2.1341) Prec@1 50.000 (48.768) Prec@5 85.156 (77.485) Test: [120/391] Time 0.103 (0.121) Loss 1.8869 (2.1091) Prec@1 54.688 (49.503) Prec@5 80.469 (77.886) Test: [130/391] Time 0.104 (0.120) Loss 1.3189 (2.0883) Prec@1 73.438 (50.066) Prec@5 86.719 (78.191) Test: [140/391] Time 0.109 (0.119) Loss 2.7776 (2.0796) Prec@1 40.625 (50.255) Prec@5 66.406 (78.341) Test: [150/391] Time 0.105 (0.118) Loss 1.7075 (2.0810) Prec@1 50.000 (50.259) Prec@5 85.938 (78.260) Test: [160/391] Time 0.150 (0.118) Loss 2.6405 (2.0822) Prec@1 36.719 (50.364) Prec@5 71.875 (78.227) Test: [170/391] Time 0.106 (0.117) Loss 2.6709 (2.1189) Prec@1 27.344 (49.772) Prec@5 79.688 (77.668) Test: [180/391] Time 0.103 (0.117) Loss 3.7477 (2.1571) Prec@1 29.688 (49.189) Prec@5 60.938 (77.119) Test: [190/391] Time 0.112 (0.116) Loss 2.3333 (2.1890) Prec@1 40.625 (48.683) Prec@5 78.906 (76.550) Test: [200/391] Time 0.107 (0.116) Loss 1.9347 (2.2177) Prec@1 56.250 (48.371) Prec@5 75.781 (76.162) Test: [210/391] Time 0.106 (0.115) Loss 2.4370 (2.2446) Prec@1 48.438 (47.964) Prec@5 70.312 (75.611) Test: [220/391] Time 0.103 (0.115) Loss 1.5495 (2.2560) Prec@1 67.969 (47.890) Prec@5 83.594 (75.361) Test: [230/391] Time 0.105 (0.115) Loss 3.8758 (2.2770) Prec@1 21.094 (47.582) Prec@5 49.219 (74.966) Test: [240/391] Time 0.106 (0.115) Loss 2.6441 (2.2960) Prec@1 41.406 (47.270) Prec@5 66.406 (74.605) Test: [250/391] Time 0.108 (0.114) Loss 2.7273 (2.3204) Prec@1 42.188 (46.835) Prec@5 63.281 (74.166) Test: [260/391] Time 0.107 (0.114) Loss 2.7635 (2.3366) Prec@1 39.844 (46.492) Prec@5 66.406 (73.886) Test: [270/391] Time 0.105 (0.114) Loss 3.4165 (2.3540) Prec@1 31.250 (46.278) Prec@5 59.375 (73.556) Test: [280/391] Time 0.105 (0.114) Loss 1.6228 (2.3672) Prec@1 60.156 (46.046) Prec@5 83.594 (73.290) Test: [290/391] Time 0.103 (0.113) Loss 2.7858 (2.3882) Prec@1 32.031 (45.833) Prec@5 67.188 (72.944) Test: [300/391] Time 0.104 (0.113) Loss 2.2648 (2.4046) Prec@1 56.250 (45.694) Prec@5 75.781 (72.638) Test: [310/391] Time 0.104 (0.113) Loss 2.6522 (2.4207) Prec@1 43.750 (45.461) Prec@5 68.750 (72.330) Test: [320/391] Time 0.103 (0.113) Loss 2.4792 (2.4337) Prec@1 37.500 (45.213) Prec@5 77.344 (72.126) Test: [330/391] Time 0.112 (0.113) Loss 3.0314 (2.4542) Prec@1 32.031 (44.840) Prec@5 61.719 (71.771) Test: [340/391] Time 0.110 (0.112) Loss 2.5092 (2.4651) Prec@1 46.875 (44.666) Prec@5 75.781 (71.545) Test: [350/391] Time 0.115 (0.112) Loss 2.9308 (2.4655) Prec@1 42.969 (44.705) Prec@5 64.062 (71.552) Test: [360/391] Time 0.110 (0.112) Loss 2.5713 (2.4718) Prec@1 29.688 (44.592) Prec@5 71.875 (71.494) Test: [370/391] Time 0.107 (0.112) Loss 2.3890 (2.4680) Prec@1 48.438 (44.672) Prec@5 85.938 (71.616) Test: [380/391] Time 0.106 (0.112) Loss 1.6827 (2.4678) Prec@1 54.688 (44.697) Prec@5 85.156 (71.639) Test: [390/391] Time 0.075 (0.112) Loss 3.3085 (2.4506) Prec@1 30.000 (45.052) Prec@5 63.750 (71.908) * Prec@1 45.052 Prec@5 71.908 Epoch: [25][0/10010] Time 2.803 (2.803) Data 2.623 (2.623) Loss 2.6522 (2.6522) Prec@1 44.531 (44.531) Prec@5 69.531 (69.531) Epoch: [25][10/10010] Time 0.324 (0.548) Data 0.001 (0.239) Loss 2.2918 (2.6459) Prec@1 46.094 (42.898) Prec@5 78.906 (68.466) Epoch: [25][20/10010] Time 0.321 (0.440) Data 0.000 (0.125) Loss 2.2664 (2.6826) Prec@1 46.094 (42.001) Prec@5 78.125 (67.560) Epoch: [25][30/10010] Time 0.315 (0.401) Data 0.001 (0.085) Loss 2.7314 (2.6877) Prec@1 43.750 (42.036) Prec@5 67.969 (67.389) Epoch: [25][40/10010] Time 0.316 (0.382) Data 0.001 (0.065) Loss 2.5779 (2.6878) Prec@1 42.969 (42.054) Prec@5 65.625 (67.378) Epoch: [25][50/10010] Time 0.344 (0.373) Data 0.000 (0.052) Loss 2.6212 (2.6865) Prec@1 45.312 (42.433) Prec@5 70.312 (67.494) Epoch: [25][60/10010] Time 0.322 (0.366) Data 0.001 (0.044) Loss 2.5959 (2.6577) Prec@1 44.531 (42.815) Prec@5 69.531 (67.905) Epoch: [25][70/10010] Time 0.327 (0.361) Data 0.000 (0.038) Loss 2.8022 (2.6539) Prec@1 38.281 (42.738) Prec@5 64.062 (68.024) Epoch: [25][80/10010] Time 0.324 (0.356) Data 0.000 (0.033) Loss 2.4706 (2.6592) Prec@1 42.188 (42.554) Prec@5 71.094 (67.911) Epoch: [25][90/10010] Time 0.323 (0.353) Data 0.001 (0.029) Loss 2.7613 (2.6536) Prec@1 42.969 (42.788) Prec@5 66.406 (67.960) Epoch: [25][100/10010] Time 0.342 (0.351) Data 0.000 (0.027) Loss 2.4117 (2.6397) Prec@1 46.875 (42.837) Prec@5 70.312 (68.224) Epoch: [25][110/10010] Time 0.324 (0.349) Data 0.001 (0.024) Loss 2.7035 (2.6454) Prec@1 41.406 (42.687) Prec@5 62.500 (68.102) Epoch: [25][120/10010] Time 0.337 (0.347) Data 0.001 (0.022) Loss 2.6190 (2.6430) Prec@1 44.531 (42.691) Prec@5 65.625 (68.130) Epoch: [25][130/10010] Time 0.344 (0.345) Data 0.001 (0.021) Loss 2.9848 (2.6571) Prec@1 32.812 (42.486) Prec@5 64.844 (67.969) Epoch: [25][140/10010] Time 0.327 (0.344) Data 0.001 (0.019) Loss 2.8506 (2.6581) Prec@1 41.406 (42.481) Prec@5 63.281 (67.908) Epoch: [25][150/10010] Time 0.329 (0.344) Data 0.001 (0.018) Loss 2.8135 (2.6623) Prec@1 43.750 (42.534) Prec@5 61.719 (67.839) Epoch: [25][160/10010] Time 0.322 (0.343) Data 0.000 (0.017) Loss 2.7905 (2.6647) Prec@1 46.094 (42.493) Prec@5 71.094 (67.877) Epoch: [25][170/10010] Time 0.327 (0.343) Data 0.001 (0.016) Loss 2.4887 (2.6638) Prec@1 41.406 (42.384) Prec@5 73.438 (67.905) Epoch: [25][180/10010] Time 0.339 (0.343) Data 0.001 (0.015) Loss 2.5195 (2.6591) Prec@1 48.438 (42.412) Prec@5 71.094 (67.986) Epoch: [25][190/10010] Time 0.324 (0.342) Data 0.001 (0.014) Loss 2.6670 (2.6619) Prec@1 44.531 (42.318) Prec@5 67.969 (67.916) Epoch: [25][200/10010] Time 0.321 (0.341) Data 0.000 (0.014) Loss 2.9630 (2.6622) Prec@1 28.125 (42.467) Prec@5 64.062 (67.934) Epoch: [25][210/10010] Time 0.341 (0.341) Data 0.001 (0.013) Loss 2.8110 (2.6655) Prec@1 40.625 (42.391) Prec@5 62.500 (67.835) Epoch: [25][220/10010] Time 0.333 (0.340) Data 0.001 (0.012) Loss 2.4964 (2.6626) Prec@1 46.094 (42.385) Prec@5 68.750 (67.863) Epoch: [25][230/10010] Time 0.328 (0.340) Data 0.000 (0.012) Loss 2.5976 (2.6564) Prec@1 49.219 (42.482) Prec@5 67.969 (67.932) Epoch: [25][240/10010] Time 0.338 (0.339) Data 0.001 (0.011) Loss 2.4821 (2.6531) Prec@1 46.875 (42.599) Prec@5 72.656 (67.995) Epoch: [25][250/10010] Time 0.329 (0.339) Data 0.001 (0.011) Loss 2.7215 (2.6511) Prec@1 42.188 (42.614) Prec@5 66.406 (68.012) Epoch: [25][260/10010] Time 0.322 (0.339) Data 0.001 (0.011) Loss 2.5450 (2.6516) Prec@1 46.094 (42.628) Prec@5 70.312 (67.999) Epoch: [25][270/10010] Time 0.339 (0.338) Data 0.000 (0.010) Loss 2.7543 (2.6508) Prec@1 45.312 (42.683) Prec@5 62.500 (67.969) Epoch: [25][280/10010] Time 0.335 (0.338) Data 0.001 (0.010) Loss 2.4624 (2.6481) Prec@1 42.188 (42.766) Prec@5 69.531 (67.977) Epoch: [25][290/10010] Time 0.321 (0.338) Data 0.001 (0.010) Loss 2.6072 (2.6466) Prec@1 41.406 (42.781) Prec@5 70.312 (67.998) Epoch: [25][300/10010] Time 0.336 (0.338) Data 0.001 (0.009) Loss 2.6413 (2.6468) Prec@1 45.312 (42.779) Prec@5 65.625 (68.008) Epoch: [25][310/10010] Time 0.330 (0.337) Data 0.001 (0.009) Loss 2.4548 (2.6445) Prec@1 42.969 (42.798) Prec@5 68.750 (68.009) Epoch: [25][320/10010] Time 0.320 (0.337) Data 0.001 (0.009) Loss 3.0290 (2.6468) Prec@1 35.156 (42.801) Prec@5 64.844 (68.010) Epoch: [25][330/10010] Time 0.319 (0.337) Data 0.001 (0.009) Loss 2.7348 (2.6455) Prec@1 46.875 (42.820) Prec@5 67.188 (68.044) Epoch: [25][340/10010] Time 0.334 (0.336) Data 0.001 (0.008) Loss 2.8112 (2.6440) Prec@1 42.188 (42.804) Prec@5 67.969 (68.054) Epoch: [25][350/10010] Time 0.338 (0.336) Data 0.001 (0.008) Loss 2.4029 (2.6451) Prec@1 48.438 (42.817) Prec@5 71.094 (68.015) Epoch: [25][360/10010] Time 0.325 (0.336) Data 0.001 (0.008) Loss 2.6647 (2.6490) Prec@1 42.188 (42.806) Prec@5 69.531 (67.947) Epoch: [25][370/10010] Time 0.328 (0.336) Data 0.000 (0.008) Loss 2.2896 (2.6473) Prec@1 47.656 (42.842) Prec@5 71.094 (67.983) Epoch: [25][380/10010] Time 0.340 (0.336) Data 0.001 (0.007) Loss 2.5170 (2.6459) Prec@1 46.875 (42.901) Prec@5 67.188 (68.004) Epoch: [25][390/10010] Time 0.343 (0.336) Data 0.001 (0.007) Loss 2.5898 (2.6475) Prec@1 39.844 (42.871) Prec@5 71.875 (67.963) Epoch: [25][400/10010] Time 0.337 (0.336) Data 0.001 (0.007) Loss 2.6064 (2.6481) Prec@1 45.312 (42.862) Prec@5 67.969 (67.965) Epoch: [25][410/10010] Time 0.334 (0.336) Data 0.000 (0.007) Loss 2.3515 (2.6455) Prec@1 39.062 (42.944) Prec@5 76.562 (68.026) Epoch: [25][420/10010] Time 0.323 (0.336) Data 0.000 (0.007) Loss 2.7518 (2.6430) Prec@1 39.844 (42.948) Prec@5 68.750 (68.075) Epoch: [25][430/10010] Time 0.329 (0.336) Data 0.001 (0.007) Loss 2.4395 (2.6433) Prec@1 42.969 (42.954) Prec@5 72.656 (68.039) Epoch: [25][440/10010] Time 0.321 (0.335) Data 0.001 (0.007) Loss 2.8065 (2.6457) Prec@1 42.969 (42.951) Prec@5 64.062 (67.990) Epoch: [25][450/10010] Time 0.327 (0.335) Data 0.000 (0.006) Loss 2.3361 (2.6434) Prec@1 49.219 (42.984) Prec@5 74.219 (68.003) Epoch: [25][460/10010] Time 0.327 (0.335) Data 0.000 (0.006) Loss 2.5603 (2.6426) Prec@1 43.750 (42.992) Prec@5 71.094 (68.052) Epoch: [25][470/10010] Time 0.327 (0.335) Data 0.001 (0.006) Loss 2.5064 (2.6409) Prec@1 47.656 (43.025) Prec@5 69.531 (68.055) Epoch: [25][480/10010] Time 0.326 (0.335) Data 0.000 (0.006) Loss 2.6212 (2.6417) Prec@1 42.188 (43.034) Prec@5 66.406 (68.043) Epoch: [25][490/10010] Time 0.324 (0.335) Data 0.001 (0.006) Loss 2.4221 (2.6435) Prec@1 47.656 (42.980) Prec@5 74.219 (67.993) Epoch: [25][500/10010] Time 0.324 (0.334) Data 0.001 (0.006) Loss 2.8418 (2.6439) Prec@1 42.188 (42.998) Prec@5 69.531 (67.984) Epoch: [25][510/10010] Time 0.333 (0.334) Data 0.000 (0.006) Loss 2.4742 (2.6415) Prec@1 40.625 (43.102) Prec@5 64.062 (68.036) Epoch: [25][520/10010] Time 0.325 (0.334) Data 0.000 (0.006) Loss 2.7250 (2.6436) Prec@1 46.875 (43.066) Prec@5 66.406 (67.990) Epoch: [25][530/10010] Time 0.311 (0.334) Data 0.001 (0.006) Loss 2.6207 (2.6411) Prec@1 39.062 (43.091) Prec@5 71.094 (68.044) Epoch: [25][540/10010] Time 0.334 (0.334) Data 0.003 (0.005) Loss 2.5405 (2.6401) Prec@1 44.531 (43.096) Prec@5 67.188 (68.067) Epoch: [25][550/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 2.4048 (2.6393) Prec@1 44.531 (43.101) Prec@5 71.875 (68.084) Epoch: [25][560/10010] Time 0.335 (0.334) Data 0.000 (0.005) Loss 2.3745 (2.6396) Prec@1 43.750 (43.070) Prec@5 75.781 (68.063) Epoch: [25][570/10010] Time 0.327 (0.334) Data 0.001 (0.005) Loss 2.7169 (2.6414) Prec@1 42.188 (43.041) Prec@5 69.531 (68.060) Epoch: [25][580/10010] Time 0.334 (0.334) Data 0.001 (0.005) Loss 3.1105 (2.6432) Prec@1 33.594 (42.966) Prec@5 58.594 (68.023) Epoch: [25][590/10010] Time 0.342 (0.334) Data 0.000 (0.005) Loss 2.7306 (2.6434) Prec@1 40.625 (42.971) Prec@5 65.625 (68.026) Epoch: [25][600/10010] Time 0.332 (0.334) Data 0.000 (0.005) Loss 2.4979 (2.6432) Prec@1 45.312 (42.967) Prec@5 66.406 (68.026) Epoch: [25][610/10010] Time 0.340 (0.334) Data 0.000 (0.005) Loss 2.6685 (2.6428) Prec@1 42.188 (42.975) Prec@5 67.188 (68.039) Epoch: [25][620/10010] Time 0.334 (0.334) Data 0.001 (0.005) Loss 2.5490 (2.6435) Prec@1 37.500 (42.932) Prec@5 69.531 (68.020) Epoch: [25][630/10010] Time 0.324 (0.334) Data 0.000 (0.005) Loss 2.6854 (2.6440) Prec@1 42.969 (42.934) Prec@5 68.750 (68.032) Epoch: [25][640/10010] Time 0.333 (0.334) Data 0.000 (0.005) Loss 2.6807 (2.6432) Prec@1 42.188 (42.958) Prec@5 64.062 (68.033) Epoch: [25][650/10010] Time 0.340 (0.334) Data 0.000 (0.005) Loss 2.8617 (2.6426) Prec@1 42.969 (42.958) Prec@5 67.969 (68.041) Epoch: [25][660/10010] Time 0.345 (0.334) Data 0.001 (0.005) Loss 2.7609 (2.6423) Prec@1 33.594 (42.951) Prec@5 69.531 (68.044) Epoch: [25][670/10010] Time 0.329 (0.334) Data 0.001 (0.004) Loss 2.4973 (2.6421) Prec@1 42.188 (42.945) Prec@5 72.656 (68.044) Epoch: [25][680/10010] Time 0.330 (0.333) Data 0.001 (0.004) Loss 2.6038 (2.6429) Prec@1 44.531 (42.921) Prec@5 67.188 (68.020) Epoch: [25][690/10010] Time 0.334 (0.333) Data 0.000 (0.004) Loss 2.8135 (2.6429) Prec@1 42.969 (42.938) Prec@5 60.156 (68.000) Epoch: [25][700/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 2.5964 (2.6412) Prec@1 44.531 (42.969) Prec@5 68.750 (68.038) Epoch: [25][710/10010] Time 0.340 (0.333) Data 0.000 (0.004) Loss 2.6700 (2.6404) Prec@1 38.281 (42.979) Prec@5 71.094 (68.042) Epoch: [25][720/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 2.9173 (2.6411) Prec@1 37.500 (42.971) Prec@5 62.500 (68.034) Epoch: [25][730/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 2.3455 (2.6412) Prec@1 44.531 (42.984) Prec@5 74.219 (68.031) Epoch: [25][740/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 2.6143 (2.6404) Prec@1 37.500 (42.986) Prec@5 73.438 (68.062) Epoch: [25][750/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 2.5682 (2.6417) Prec@1 44.531 (42.953) Prec@5 68.750 (68.028) Epoch: [25][760/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 2.9494 (2.6414) Prec@1 39.844 (42.967) Prec@5 63.281 (68.028) Epoch: [25][770/10010] Time 0.311 (0.333) Data 0.001 (0.004) Loss 2.8687 (2.6426) Prec@1 39.062 (42.941) Prec@5 64.062 (68.009) Epoch: [25][780/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 2.6547 (2.6426) Prec@1 41.406 (42.924) Prec@5 68.750 (68.017) Epoch: [25][790/10010] Time 0.331 (0.333) Data 0.001 (0.004) Loss 2.5271 (2.6426) Prec@1 44.531 (42.929) Prec@5 70.312 (68.030) Epoch: [25][800/10010] Time 0.332 (0.333) Data 0.000 (0.004) Loss 2.8024 (2.6426) Prec@1 44.531 (42.930) Prec@5 60.938 (68.032) Epoch: [25][810/10010] Time 0.312 (0.333) Data 0.001 (0.004) Loss 2.6603 (2.6431) Prec@1 36.719 (42.902) Prec@5 69.531 (68.025) Epoch: [25][820/10010] Time 0.330 (0.333) Data 0.001 (0.004) Loss 2.3767 (2.6420) Prec@1 47.656 (42.926) Prec@5 68.750 (68.063) Epoch: [25][830/10010] Time 0.340 (0.333) Data 0.000 (0.004) Loss 2.6694 (2.6419) Prec@1 42.188 (42.926) Prec@5 64.844 (68.078) Epoch: [25][840/10010] Time 0.326 (0.333) Data 0.001 (0.004) Loss 2.6387 (2.6426) Prec@1 41.406 (42.907) Prec@5 69.531 (68.080) Epoch: [25][850/10010] Time 0.322 (0.333) Data 0.000 (0.004) Loss 2.6487 (2.6424) Prec@1 48.438 (42.913) Prec@5 67.188 (68.086) Epoch: [25][860/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 2.7623 (2.6431) Prec@1 45.312 (42.893) Prec@5 67.969 (68.082) Epoch: [25][870/10010] Time 0.329 (0.333) Data 0.000 (0.004) Loss 2.8671 (2.6432) Prec@1 40.625 (42.891) Prec@5 64.062 (68.077) Epoch: [25][880/10010] Time 0.334 (0.333) Data 0.001 (0.004) Loss 2.8882 (2.6436) Prec@1 39.844 (42.874) Prec@5 63.281 (68.066) Epoch: [25][890/10010] Time 0.318 (0.333) Data 0.000 (0.004) Loss 2.8742 (2.6438) Prec@1 43.750 (42.877) Prec@5 67.969 (68.067) Epoch: [25][900/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.6221 (2.6437) Prec@1 44.531 (42.866) Prec@5 69.531 (68.060) Epoch: [25][910/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.7602 (2.6447) Prec@1 42.188 (42.861) Prec@5 68.750 (68.045) Epoch: [25][920/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 2.6555 (2.6451) Prec@1 44.531 (42.860) Prec@5 67.969 (68.035) Epoch: [25][930/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 2.8875 (2.6448) Prec@1 38.281 (42.856) Prec@5 65.625 (68.032) Epoch: [25][940/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.7292 (2.6456) Prec@1 39.062 (42.848) Prec@5 67.188 (68.014) Epoch: [25][950/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.6306 (2.6454) Prec@1 44.531 (42.868) Prec@5 68.750 (68.021) Epoch: [25][960/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.7044 (2.6462) Prec@1 40.625 (42.861) Prec@5 63.281 (67.989) Epoch: [25][970/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 2.7058 (2.6457) Prec@1 38.281 (42.868) Prec@5 66.406 (67.999) Epoch: [25][980/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 2.6707 (2.6460) Prec@1 42.969 (42.863) Prec@5 66.406 (67.997) Epoch: [25][990/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 2.8949 (2.6453) Prec@1 39.062 (42.859) Prec@5 63.281 (68.011) Epoch: [25][1000/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.6937 (2.6460) Prec@1 43.750 (42.856) Prec@5 67.188 (67.997) Epoch: [25][1010/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 2.2872 (2.6450) Prec@1 50.781 (42.885) Prec@5 75.000 (68.015) Epoch: [25][1020/10010] Time 0.319 (0.332) Data 0.001 (0.003) Loss 2.6916 (2.6451) Prec@1 49.219 (42.888) Prec@5 64.062 (68.013) Epoch: [25][1030/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 2.9192 (2.6450) Prec@1 39.062 (42.888) Prec@5 60.938 (68.014) Epoch: [25][1040/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 2.5211 (2.6447) Prec@1 47.656 (42.906) Prec@5 71.875 (68.021) Epoch: [25][1050/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.5858 (2.6451) Prec@1 45.312 (42.903) Prec@5 68.750 (68.013) Epoch: [25][1060/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.6796 (2.6449) Prec@1 42.188 (42.910) Prec@5 69.531 (68.022) Epoch: [25][1070/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 3.0759 (2.6458) Prec@1 38.281 (42.897) Prec@5 59.375 (67.999) Epoch: [25][1080/10010] Time 0.342 (0.332) Data 0.001 (0.003) Loss 2.4633 (2.6447) Prec@1 44.531 (42.904) Prec@5 70.312 (68.010) Epoch: [25][1090/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.3226 (2.6441) Prec@1 48.438 (42.909) Prec@5 74.219 (68.012) Epoch: [25][1100/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 2.7642 (2.6438) Prec@1 39.844 (42.910) Prec@5 67.188 (68.011) Epoch: [25][1110/10010] Time 0.343 (0.332) Data 0.001 (0.003) Loss 2.6221 (2.6441) Prec@1 42.188 (42.907) Prec@5 71.094 (68.014) Epoch: [25][1120/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 2.7098 (2.6453) Prec@1 42.188 (42.883) Prec@5 67.188 (67.987) Epoch: [25][1130/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.7184 (2.6459) Prec@1 40.625 (42.875) Prec@5 71.094 (67.984) Epoch: [25][1140/10010] Time 0.342 (0.332) Data 0.001 (0.003) Loss 2.6283 (2.6459) Prec@1 42.188 (42.877) Prec@5 67.188 (67.987) Epoch: [25][1150/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 2.1367 (2.6452) Prec@1 49.219 (42.883) Prec@5 75.000 (67.995) Epoch: [25][1160/10010] Time 0.319 (0.332) Data 0.000 (0.003) Loss 2.2426 (2.6456) Prec@1 52.344 (42.872) Prec@5 76.562 (68.000) Epoch: [25][1170/10010] Time 0.348 (0.332) Data 0.000 (0.003) Loss 2.5682 (2.6454) Prec@1 46.094 (42.872) Prec@5 71.094 (68.002) Epoch: [25][1180/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.6838 (2.6456) Prec@1 44.531 (42.881) Prec@5 67.188 (68.002) Epoch: [25][1190/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.3131 (2.6461) Prec@1 41.406 (42.872) Prec@5 70.312 (67.996) Epoch: [25][1200/10010] Time 0.344 (0.332) Data 0.000 (0.003) Loss 2.6161 (2.6462) Prec@1 46.875 (42.862) Prec@5 67.969 (67.995) Epoch: [25][1210/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 2.3268 (2.6452) Prec@1 46.875 (42.882) Prec@5 74.219 (68.002) Epoch: [25][1220/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.6565 (2.6453) Prec@1 42.188 (42.890) Prec@5 71.094 (68.003) Epoch: [25][1230/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 2.4560 (2.6457) Prec@1 45.312 (42.895) Prec@5 71.875 (68.006) Epoch: [25][1240/10010] Time 0.344 (0.332) Data 0.001 (0.003) Loss 2.8952 (2.6459) Prec@1 39.062 (42.883) Prec@5 63.281 (68.013) Epoch: [25][1250/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 2.3832 (2.6460) Prec@1 46.094 (42.878) Prec@5 70.312 (68.011) Epoch: [25][1260/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 2.7542 (2.6463) Prec@1 38.281 (42.876) Prec@5 69.531 (68.007) Epoch: [25][1270/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 2.4980 (2.6457) Prec@1 45.312 (42.883) Prec@5 69.531 (68.011) Epoch: [25][1280/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.6875 (2.6454) Prec@1 46.875 (42.890) Prec@5 69.531 (68.016) Epoch: [25][1290/10010] Time 0.340 (0.332) Data 0.002 (0.003) Loss 2.9647 (2.6459) Prec@1 37.500 (42.888) Prec@5 60.938 (68.011) Epoch: [25][1300/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 2.2283 (2.6458) Prec@1 51.562 (42.890) Prec@5 75.781 (68.026) Epoch: [25][1310/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 2.6304 (2.6462) Prec@1 46.094 (42.882) Prec@5 67.188 (68.016) Epoch: [25][1320/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 2.8214 (2.6462) Prec@1 39.062 (42.872) Prec@5 63.281 (68.015) Epoch: [25][1330/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.2049 (2.6464) Prec@1 50.781 (42.864) Prec@5 71.875 (68.002) Epoch: [25][1340/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.8046 (2.6469) Prec@1 37.500 (42.853) Prec@5 64.844 (67.996) Epoch: [25][1350/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.6075 (2.6472) Prec@1 46.094 (42.842) Prec@5 67.188 (67.988) Epoch: [25][1360/10010] Time 0.342 (0.332) Data 0.001 (0.003) Loss 2.2468 (2.6476) Prec@1 55.469 (42.833) Prec@5 77.344 (67.981) Epoch: [25][1370/10010] Time 0.319 (0.332) Data 0.000 (0.003) Loss 2.5549 (2.6471) Prec@1 45.312 (42.826) Prec@5 67.188 (67.995) Epoch: [25][1380/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.7264 (2.6475) Prec@1 39.844 (42.811) Prec@5 69.531 (67.989) Epoch: [25][1390/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.9494 (2.6478) Prec@1 37.500 (42.796) Prec@5 65.625 (67.985) Epoch: [25][1400/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.0524 (2.6481) Prec@1 41.406 (42.794) Prec@5 63.281 (67.988) Epoch: [25][1410/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.6250 (2.6483) Prec@1 44.531 (42.798) Prec@5 67.188 (67.982) Epoch: [25][1420/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7105 (2.6488) Prec@1 42.188 (42.793) Prec@5 64.844 (67.965) Epoch: [25][1430/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6441 (2.6497) Prec@1 48.438 (42.789) Prec@5 61.719 (67.940) Epoch: [25][1440/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.6829 (2.6504) Prec@1 45.312 (42.776) Prec@5 67.969 (67.926) Epoch: [25][1450/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 3.0735 (2.6496) Prec@1 37.500 (42.791) Prec@5 63.281 (67.943) Epoch: [25][1460/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6927 (2.6498) Prec@1 37.500 (42.780) Prec@5 66.406 (67.938) Epoch: [25][1470/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.4113 (2.6491) Prec@1 45.312 (42.796) Prec@5 71.094 (67.955) Epoch: [25][1480/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.5783 (2.6487) Prec@1 43.750 (42.814) Prec@5 69.531 (67.961) Epoch: [25][1490/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 3.2312 (2.6499) Prec@1 33.594 (42.785) Prec@5 60.938 (67.946) Epoch: [25][1500/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6574 (2.6492) Prec@1 46.875 (42.799) Prec@5 70.312 (67.956) Epoch: [25][1510/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.1905 (2.6489) Prec@1 53.906 (42.798) Prec@5 75.781 (67.963) Epoch: [25][1520/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.7458 (2.6498) Prec@1 38.281 (42.780) Prec@5 67.188 (67.946) Epoch: [25][1530/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.5870 (2.6497) Prec@1 44.531 (42.778) Prec@5 71.094 (67.949) Epoch: [25][1540/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8134 (2.6495) Prec@1 43.750 (42.782) Prec@5 64.844 (67.951) Epoch: [25][1550/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.6156 (2.6494) Prec@1 43.750 (42.786) Prec@5 67.188 (67.945) Epoch: [25][1560/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5669 (2.6494) Prec@1 37.500 (42.772) Prec@5 64.844 (67.940) Epoch: [25][1570/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.4456 (2.6493) Prec@1 44.531 (42.776) Prec@5 71.094 (67.947) Epoch: [25][1580/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.7940 (2.6495) Prec@1 44.531 (42.774) Prec@5 66.406 (67.947) Epoch: [25][1590/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.9986 (2.6495) Prec@1 35.938 (42.769) Prec@5 68.750 (67.950) Epoch: [25][1600/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.9762 (2.6494) Prec@1 42.188 (42.769) Prec@5 61.719 (67.956) Epoch: [25][1610/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.3786 (2.6494) Prec@1 43.750 (42.766) Prec@5 70.312 (67.951) Epoch: [25][1620/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7381 (2.6496) Prec@1 34.375 (42.763) Prec@5 64.844 (67.947) Epoch: [25][1630/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.7730 (2.6496) Prec@1 46.875 (42.759) Prec@5 64.062 (67.945) Epoch: [25][1640/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.4307 (2.6494) Prec@1 45.312 (42.770) Prec@5 67.969 (67.938) Epoch: [25][1650/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.5353 (2.6497) Prec@1 46.875 (42.778) Prec@5 72.656 (67.936) Epoch: [25][1660/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.4745 (2.6496) Prec@1 41.406 (42.768) Prec@5 70.312 (67.930) Epoch: [25][1670/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.8744 (2.6494) Prec@1 39.062 (42.774) Prec@5 64.062 (67.930) Epoch: [25][1680/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.6418 (2.6494) Prec@1 46.875 (42.775) Prec@5 72.656 (67.932) Epoch: [25][1690/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.7547 (2.6490) Prec@1 40.625 (42.787) Prec@5 65.625 (67.939) Epoch: [25][1700/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.3233 (2.6487) Prec@1 45.312 (42.785) Prec@5 74.219 (67.946) Epoch: [25][1710/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.7844 (2.6486) Prec@1 43.750 (42.784) Prec@5 71.875 (67.952) Epoch: [25][1720/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.5707 (2.6489) Prec@1 45.312 (42.782) Prec@5 71.094 (67.945) Epoch: [25][1730/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.5263 (2.6490) Prec@1 45.312 (42.786) Prec@5 67.969 (67.945) Epoch: [25][1740/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.5009 (2.6484) Prec@1 47.656 (42.799) Prec@5 70.312 (67.950) Epoch: [25][1750/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.5480 (2.6485) Prec@1 40.625 (42.789) Prec@5 70.312 (67.942) Epoch: [25][1760/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.6619 (2.6489) Prec@1 44.531 (42.787) Prec@5 66.406 (67.943) Epoch: [25][1770/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.5260 (2.6492) Prec@1 47.656 (42.781) Prec@5 69.531 (67.926) /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: [25][1780/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5875 (2.6493) Prec@1 42.188 (42.777) Prec@5 68.750 (67.917) Epoch: [25][1790/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.7485 (2.6489) Prec@1 42.969 (42.793) Prec@5 69.531 (67.930) Epoch: [25][1800/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.3136 (2.6484) Prec@1 46.875 (42.797) Prec@5 73.438 (67.936) Epoch: [25][1810/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.3080 (2.6487) Prec@1 52.344 (42.798) Prec@5 73.438 (67.932) Epoch: [25][1820/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.8428 (2.6485) Prec@1 42.188 (42.802) Prec@5 64.844 (67.939) Epoch: [25][1830/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6860 (2.6487) Prec@1 48.438 (42.806) Prec@5 67.969 (67.938) Epoch: [25][1840/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8129 (2.6487) Prec@1 38.281 (42.806) Prec@5 59.375 (67.934) Epoch: [25][1850/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5570 (2.6486) Prec@1 36.719 (42.800) Prec@5 67.188 (67.927) Epoch: [25][1860/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.4378 (2.6487) Prec@1 46.094 (42.793) Prec@5 69.531 (67.919) Epoch: [25][1870/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.8084 (2.6489) Prec@1 46.094 (42.793) Prec@5 59.375 (67.918) Epoch: [25][1880/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.2418 (2.6491) Prec@1 50.000 (42.784) Prec@5 74.219 (67.906) Epoch: [25][1890/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.6368 (2.6490) Prec@1 45.312 (42.788) Prec@5 68.750 (67.904) Epoch: [25][1900/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.7103 (2.6489) Prec@1 37.500 (42.790) Prec@5 64.062 (67.899) Epoch: [25][1910/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.8725 (2.6494) Prec@1 34.375 (42.775) Prec@5 64.844 (67.885) Epoch: [25][1920/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.5056 (2.6492) Prec@1 41.406 (42.783) Prec@5 70.312 (67.891) Epoch: [25][1930/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 2.9485 (2.6492) Prec@1 40.625 (42.780) Prec@5 63.281 (67.887) Epoch: [25][1940/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.6669 (2.6496) Prec@1 43.750 (42.773) Prec@5 64.844 (67.875) Epoch: [25][1950/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.5710 (2.6497) Prec@1 42.969 (42.771) Prec@5 67.188 (67.874) Epoch: [25][1960/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.9903 (2.6498) Prec@1 42.969 (42.785) Prec@5 61.719 (67.872) Epoch: [25][1970/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.5018 (2.6500) Prec@1 50.000 (42.783) Prec@5 72.656 (67.875) Epoch: [25][1980/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.4684 (2.6501) Prec@1 48.438 (42.782) Prec@5 71.875 (67.868) Epoch: [25][1990/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.3471 (2.6495) Prec@1 50.000 (42.795) Prec@5 71.875 (67.879) Epoch: [25][2000/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.8560 (2.6495) Prec@1 37.500 (42.793) Prec@5 65.625 (67.870) Epoch: [25][2010/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.6601 (2.6497) Prec@1 38.281 (42.802) Prec@5 66.406 (67.864) Epoch: [25][2020/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.8790 (2.6497) Prec@1 42.969 (42.803) Prec@5 66.406 (67.859) Epoch: [25][2030/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.4886 (2.6497) Prec@1 43.750 (42.805) Prec@5 72.656 (67.860) Epoch: [25][2040/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 3.1853 (2.6501) Prec@1 35.938 (42.801) Prec@5 57.031 (67.849) Epoch: [25][2050/10010] Time 0.316 (0.331) Data 0.001 (0.002) Loss 2.4943 (2.6505) Prec@1 42.969 (42.790) Prec@5 71.094 (67.846) Epoch: [25][2060/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.7514 (2.6510) Prec@1 43.750 (42.791) Prec@5 63.281 (67.834) Epoch: [25][2070/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.7778 (2.6516) Prec@1 38.281 (42.775) Prec@5 67.969 (67.826) Epoch: [25][2080/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.8939 (2.6514) Prec@1 39.844 (42.784) Prec@5 58.594 (67.828) Epoch: [25][2090/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 3.0074 (2.6520) Prec@1 42.188 (42.776) Prec@5 62.500 (67.816) Epoch: [25][2100/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.2449 (2.6519) Prec@1 54.688 (42.785) Prec@5 75.000 (67.818) Epoch: [25][2110/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.8699 (2.6518) Prec@1 40.625 (42.787) Prec@5 62.500 (67.814) Epoch: [25][2120/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.8761 (2.6519) Prec@1 38.281 (42.788) Prec@5 64.062 (67.817) Epoch: [25][2130/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.9470 (2.6525) Prec@1 36.719 (42.776) Prec@5 63.281 (67.809) Epoch: [25][2140/10010] Time 0.340 (0.331) Data 0.002 (0.002) Loss 2.9011 (2.6527) Prec@1 36.719 (42.769) Prec@5 62.500 (67.807) Epoch: [25][2150/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.7943 (2.6526) Prec@1 36.719 (42.777) Prec@5 64.844 (67.803) Epoch: [25][2160/10010] Time 0.348 (0.331) Data 0.001 (0.002) Loss 2.5214 (2.6522) Prec@1 46.094 (42.782) Prec@5 67.188 (67.811) Epoch: [25][2170/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.6091 (2.6519) Prec@1 45.312 (42.788) Prec@5 69.531 (67.813) Epoch: [25][2180/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 2.5930 (2.6520) Prec@1 43.750 (42.793) Prec@5 71.094 (67.816) Epoch: [25][2190/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.7549 (2.6522) Prec@1 44.531 (42.791) Prec@5 66.406 (67.816) Epoch: [25][2200/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.7744 (2.6523) Prec@1 39.062 (42.789) Prec@5 62.500 (67.819) Epoch: [25][2210/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 3.0296 (2.6529) Prec@1 39.062 (42.767) Prec@5 63.281 (67.811) Epoch: [25][2220/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.2212 (2.6525) Prec@1 46.094 (42.770) Prec@5 78.125 (67.816) Epoch: [25][2230/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.9109 (2.6530) Prec@1 39.844 (42.764) Prec@5 61.719 (67.808) Epoch: [25][2240/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.4345 (2.6527) Prec@1 42.188 (42.765) Prec@5 70.312 (67.809) Epoch: [25][2250/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.4092 (2.6526) Prec@1 39.062 (42.769) Prec@5 67.188 (67.809) Epoch: [25][2260/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.8602 (2.6526) Prec@1 38.281 (42.775) Prec@5 64.844 (67.806) Epoch: [25][2270/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 2.7011 (2.6521) Prec@1 43.750 (42.789) Prec@5 63.281 (67.810) Epoch: [25][2280/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.4930 (2.6520) Prec@1 44.531 (42.790) Prec@5 69.531 (67.814) Epoch: [25][2290/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.9817 (2.6522) Prec@1 40.625 (42.794) Prec@5 61.719 (67.810) Epoch: [25][2300/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.7445 (2.6526) Prec@1 48.438 (42.784) Prec@5 67.969 (67.803) Epoch: [25][2310/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.4050 (2.6527) Prec@1 46.094 (42.781) Prec@5 71.094 (67.803) Epoch: [25][2320/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.8848 (2.6525) Prec@1 42.969 (42.786) Prec@5 61.719 (67.809) Epoch: [25][2330/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.6488 (2.6525) Prec@1 44.531 (42.790) Prec@5 62.500 (67.803) Epoch: [25][2340/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.6672 (2.6526) Prec@1 40.625 (42.791) Prec@5 65.625 (67.796) Epoch: [25][2350/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.7121 (2.6530) Prec@1 44.531 (42.781) Prec@5 64.844 (67.786) Epoch: [25][2360/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.6727 (2.6527) Prec@1 42.969 (42.788) Prec@5 67.188 (67.797) Epoch: [25][2370/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.8042 (2.6533) Prec@1 39.844 (42.779) Prec@5 65.625 (67.789) Epoch: [25][2380/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.6226 (2.6533) Prec@1 40.625 (42.775) Prec@5 64.062 (67.790) Epoch: [25][2390/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.2249 (2.6530) Prec@1 52.344 (42.783) Prec@5 71.875 (67.794) Epoch: [25][2400/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.4656 (2.6532) Prec@1 50.781 (42.778) Prec@5 71.094 (67.788) Epoch: [25][2410/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.7288 (2.6533) Prec@1 46.094 (42.780) Prec@5 67.969 (67.786) Epoch: [25][2420/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.6902 (2.6534) Prec@1 44.531 (42.781) Prec@5 64.844 (67.784) Epoch: [25][2430/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.5013 (2.6536) Prec@1 52.344 (42.791) Prec@5 72.656 (67.781) Epoch: [25][2440/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.9098 (2.6537) Prec@1 39.844 (42.790) Prec@5 62.500 (67.780) Epoch: [25][2450/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.6244 (2.6535) Prec@1 39.062 (42.795) Prec@5 67.969 (67.788) Epoch: [25][2460/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.6441 (2.6531) Prec@1 43.750 (42.801) Prec@5 71.094 (67.801) Epoch: [25][2470/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.6329 (2.6526) Prec@1 38.281 (42.804) Prec@5 67.969 (67.804) Epoch: [25][2480/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.3945 (2.6523) Prec@1 41.406 (42.809) Prec@5 71.094 (67.806) Epoch: [25][2490/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.8613 (2.6526) Prec@1 35.156 (42.801) Prec@5 64.844 (67.801) Epoch: [25][2500/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.8355 (2.6528) Prec@1 42.969 (42.804) Prec@5 63.281 (67.799) Epoch: [25][2510/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.8299 (2.6529) Prec@1 39.062 (42.799) Prec@5 64.062 (67.803) Epoch: [25][2520/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.5118 (2.6530) Prec@1 38.281 (42.791) Prec@5 68.750 (67.796) Epoch: [25][2530/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.6281 (2.6528) Prec@1 43.750 (42.800) Prec@5 71.875 (67.803) Epoch: [25][2540/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.7658 (2.6528) Prec@1 36.719 (42.800) Prec@5 62.500 (67.800) Epoch: [25][2550/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.3888 (2.6523) Prec@1 44.531 (42.808) Prec@5 73.438 (67.804) Epoch: [25][2560/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.7216 (2.6524) Prec@1 35.938 (42.802) Prec@5 67.969 (67.805) Epoch: [25][2570/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 2.8735 (2.6525) Prec@1 40.625 (42.801) Prec@5 67.969 (67.801) Epoch: [25][2580/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.6159 (2.6524) Prec@1 50.781 (42.809) Prec@5 70.312 (67.801) Epoch: [25][2590/10010] Time 0.348 (0.331) Data 0.001 (0.002) Loss 2.7401 (2.6525) Prec@1 42.969 (42.806) Prec@5 69.531 (67.797) Epoch: [25][2600/10010] Time 0.345 (0.331) Data 0.001 (0.002) Loss 2.4055 (2.6523) Prec@1 47.656 (42.814) Prec@5 72.656 (67.801) Epoch: [25][2610/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.8650 (2.6525) Prec@1 39.844 (42.806) Prec@5 66.406 (67.799) Epoch: [25][2620/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.5020 (2.6526) Prec@1 46.094 (42.805) Prec@5 71.094 (67.802) /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: [25][2630/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.8607 (2.6523) Prec@1 45.312 (42.810) Prec@5 64.844 (67.804) /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: [25][2640/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.8027 (2.6524) Prec@1 43.750 (42.805) Prec@5 67.969 (67.804) Epoch: [25][2650/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.6701 (2.6523) Prec@1 43.750 (42.808) Prec@5 68.750 (67.802) Epoch: [25][2660/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.5145 (2.6524) Prec@1 45.312 (42.807) Prec@5 74.219 (67.802) Epoch: [25][2670/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.4292 (2.6524) Prec@1 46.094 (42.806) Prec@5 73.438 (67.802) Epoch: [25][2680/10010] Time 0.346 (0.331) Data 0.000 (0.002) Loss 2.7231 (2.6524) Prec@1 42.969 (42.811) Prec@5 66.406 (67.804) Epoch: [25][2690/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.6918 (2.6524) Prec@1 45.312 (42.810) Prec@5 67.969 (67.808) Epoch: [25][2700/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.9678 (2.6521) Prec@1 38.281 (42.816) Prec@5 63.281 (67.814) Epoch: [25][2710/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.3667 (2.6523) Prec@1 50.781 (42.815) Prec@5 76.562 (67.815) Epoch: [25][2720/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.5100 (2.6524) Prec@1 42.188 (42.805) Prec@5 67.969 (67.811) Epoch: [25][2730/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.7819 (2.6525) Prec@1 41.406 (42.806) Prec@5 65.625 (67.807) Epoch: [25][2740/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.5157 (2.6524) Prec@1 47.656 (42.807) Prec@5 71.875 (67.809) Epoch: [25][2750/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 3.0707 (2.6524) Prec@1 38.281 (42.806) Prec@5 57.812 (67.805) Epoch: [25][2760/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.7257 (2.6522) Prec@1 43.750 (42.809) Prec@5 64.844 (67.812) Epoch: [25][2770/10010] Time 0.349 (0.331) Data 0.000 (0.002) Loss 2.8790 (2.6525) Prec@1 35.938 (42.803) Prec@5 66.406 (67.807) Epoch: [25][2780/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.5544 (2.6523) Prec@1 42.969 (42.813) Prec@5 71.094 (67.811) Epoch: [25][2790/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.5845 (2.6522) Prec@1 43.750 (42.814) Prec@5 73.438 (67.810) Epoch: [25][2800/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.7183 (2.6521) Prec@1 40.625 (42.820) Prec@5 71.094 (67.815) Epoch: [25][2810/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.2665 (2.6518) Prec@1 45.312 (42.825) Prec@5 75.781 (67.821) Epoch: [25][2820/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.8994 (2.6522) Prec@1 35.938 (42.814) Prec@5 65.625 (67.823) Epoch: [25][2830/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.4586 (2.6525) Prec@1 46.875 (42.806) Prec@5 71.094 (67.821) Epoch: [25][2840/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.5988 (2.6526) Prec@1 46.094 (42.807) Prec@5 70.312 (67.824) Epoch: [25][2850/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.9369 (2.6530) Prec@1 35.938 (42.798) Prec@5 64.062 (67.817) Epoch: [25][2860/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 3.0608 (2.6531) Prec@1 39.844 (42.802) Prec@5 57.812 (67.814) Epoch: [25][2870/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.4507 (2.6530) Prec@1 44.531 (42.805) Prec@5 69.531 (67.817) Epoch: [25][2880/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8368 (2.6531) Prec@1 39.062 (42.804) Prec@5 63.281 (67.812) Epoch: [25][2890/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.4626 (2.6526) Prec@1 42.969 (42.810) Prec@5 68.750 (67.817) Epoch: [25][2900/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6245 (2.6528) Prec@1 41.406 (42.808) Prec@5 66.406 (67.814) Epoch: [25][2910/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9715 (2.6527) Prec@1 37.500 (42.811) Prec@5 61.719 (67.810) Epoch: [25][2920/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7374 (2.6525) Prec@1 41.406 (42.821) Prec@5 68.750 (67.815) Epoch: [25][2930/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5571 (2.6522) Prec@1 40.625 (42.817) Prec@5 75.000 (67.819) Epoch: [25][2940/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5671 (2.6524) Prec@1 43.750 (42.809) Prec@5 67.969 (67.813) Epoch: [25][2950/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7649 (2.6528) Prec@1 45.312 (42.806) Prec@5 67.969 (67.809) Epoch: [25][2960/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5353 (2.6526) Prec@1 38.281 (42.806) Prec@5 67.188 (67.810) Epoch: [25][2970/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8906 (2.6528) Prec@1 35.938 (42.804) Prec@5 65.625 (67.810) Epoch: [25][2980/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8713 (2.6529) Prec@1 32.031 (42.799) Prec@5 64.062 (67.806) Epoch: [25][2990/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4135 (2.6526) Prec@1 46.094 (42.800) Prec@5 75.000 (67.813) Epoch: [25][3000/10010] Time 0.328 (0.331) Data 0.003 (0.001) Loss 3.0361 (2.6529) Prec@1 38.281 (42.795) Prec@5 62.500 (67.804) Epoch: [25][3010/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7229 (2.6529) Prec@1 39.844 (42.793) Prec@5 70.312 (67.801) Epoch: [25][3020/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5970 (2.6532) Prec@1 42.969 (42.787) Prec@5 71.875 (67.799) Epoch: [25][3030/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8140 (2.6534) Prec@1 42.188 (42.790) Prec@5 63.281 (67.797) Epoch: [25][3040/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6430 (2.6535) Prec@1 47.656 (42.794) Prec@5 68.750 (67.789) Epoch: [25][3050/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7279 (2.6536) Prec@1 43.750 (42.791) Prec@5 65.625 (67.787) Epoch: [25][3060/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7856 (2.6535) Prec@1 39.844 (42.790) Prec@5 66.406 (67.790) Epoch: [25][3070/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5707 (2.6539) Prec@1 51.562 (42.789) Prec@5 68.750 (67.784) Epoch: [25][3080/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2913 (2.6536) Prec@1 45.312 (42.788) Prec@5 74.219 (67.792) Epoch: [25][3090/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4524 (2.6535) Prec@1 45.312 (42.794) Prec@5 73.438 (67.795) Epoch: [25][3100/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5889 (2.6537) Prec@1 40.625 (42.790) Prec@5 65.625 (67.786) Epoch: [25][3110/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6166 (2.6536) Prec@1 44.531 (42.791) Prec@5 70.312 (67.788) Epoch: [25][3120/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.9075 (2.6537) Prec@1 39.062 (42.790) Prec@5 62.500 (67.786) Epoch: [25][3130/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7654 (2.6539) Prec@1 39.844 (42.788) Prec@5 67.188 (67.782) Epoch: [25][3140/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6592 (2.6539) Prec@1 45.312 (42.789) Prec@5 65.625 (67.784) Epoch: [25][3150/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5194 (2.6540) Prec@1 46.094 (42.791) Prec@5 67.969 (67.786) Epoch: [25][3160/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7052 (2.6540) Prec@1 42.188 (42.794) Prec@5 64.062 (67.787) Epoch: [25][3170/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6035 (2.6539) Prec@1 44.531 (42.792) Prec@5 66.406 (67.788) Epoch: [25][3180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7360 (2.6539) Prec@1 46.875 (42.793) Prec@5 67.188 (67.790) Epoch: [25][3190/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5114 (2.6539) Prec@1 45.312 (42.793) Prec@5 66.406 (67.785) Epoch: [25][3200/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.8728 (2.6539) Prec@1 43.750 (42.792) Prec@5 62.500 (67.788) Epoch: [25][3210/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5932 (2.6542) Prec@1 43.750 (42.785) Prec@5 66.406 (67.784) Epoch: [25][3220/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8043 (2.6544) Prec@1 46.875 (42.787) Prec@5 67.188 (67.783) Epoch: [25][3230/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9498 (2.6547) Prec@1 33.594 (42.780) Prec@5 62.500 (67.779) Epoch: [25][3240/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7918 (2.6547) Prec@1 40.625 (42.781) Prec@5 69.531 (67.782) Epoch: [25][3250/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4421 (2.6548) Prec@1 45.312 (42.776) Prec@5 75.781 (67.781) Epoch: [25][3260/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.6385 (2.6545) Prec@1 46.875 (42.779) Prec@5 71.094 (67.790) Epoch: [25][3270/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4650 (2.6545) Prec@1 48.438 (42.779) Prec@5 71.875 (67.794) Epoch: [25][3280/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5377 (2.6546) Prec@1 41.406 (42.773) Prec@5 67.188 (67.790) Epoch: [25][3290/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8619 (2.6551) Prec@1 42.969 (42.770) Prec@5 64.844 (67.783) Epoch: [25][3300/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6042 (2.6548) Prec@1 41.406 (42.776) Prec@5 72.656 (67.790) Epoch: [25][3310/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5403 (2.6549) Prec@1 40.625 (42.771) Prec@5 67.188 (67.791) Epoch: [25][3320/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.8230 (2.6549) Prec@1 37.500 (42.773) Prec@5 66.406 (67.793) Epoch: [25][3330/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5350 (2.6549) Prec@1 46.875 (42.776) Prec@5 67.969 (67.794) Epoch: [25][3340/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4411 (2.6543) Prec@1 45.312 (42.786) Prec@5 69.531 (67.807) Epoch: [25][3350/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7903 (2.6546) Prec@1 38.281 (42.781) Prec@5 67.188 (67.805) Epoch: [25][3360/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5632 (2.6546) Prec@1 46.094 (42.779) Prec@5 67.188 (67.805) Epoch: [25][3370/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7722 (2.6546) Prec@1 46.875 (42.788) Prec@5 67.969 (67.805) Epoch: [25][3380/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3166 (2.6543) Prec@1 46.875 (42.790) Prec@5 73.438 (67.810) Epoch: [25][3390/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6230 (2.6544) Prec@1 46.094 (42.787) Prec@5 69.531 (67.809) Epoch: [25][3400/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5357 (2.6543) Prec@1 45.312 (42.793) Prec@5 71.875 (67.812) Epoch: [25][3410/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0727 (2.6543) Prec@1 35.156 (42.795) Prec@5 57.812 (67.805) Epoch: [25][3420/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8984 (2.6544) Prec@1 39.062 (42.791) Prec@5 60.156 (67.804) Epoch: [25][3430/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.3506 (2.6543) Prec@1 50.781 (42.793) Prec@5 75.000 (67.805) Epoch: [25][3440/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5689 (2.6547) Prec@1 39.062 (42.784) Prec@5 68.750 (67.796) Epoch: [25][3450/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.5462 (2.6547) Prec@1 42.969 (42.782) Prec@5 74.219 (67.795) Epoch: [25][3460/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7382 (2.6549) Prec@1 40.625 (42.775) Prec@5 65.625 (67.792) Epoch: [25][3470/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.3880 (2.6550) Prec@1 42.969 (42.774) Prec@5 67.188 (67.790) Epoch: [25][3480/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7099 (2.6552) Prec@1 38.281 (42.771) Prec@5 71.875 (67.788) Epoch: [25][3490/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9034 (2.6556) Prec@1 32.812 (42.765) Prec@5 67.969 (67.781) Epoch: [25][3500/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9966 (2.6557) Prec@1 39.844 (42.767) Prec@5 60.156 (67.780) Epoch: [25][3510/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4423 (2.6556) Prec@1 42.188 (42.772) Prec@5 73.438 (67.781) Epoch: [25][3520/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8207 (2.6557) Prec@1 40.625 (42.771) Prec@5 64.062 (67.784) Epoch: [25][3530/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3230 (2.6553) Prec@1 50.781 (42.777) Prec@5 71.094 (67.788) Epoch: [25][3540/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8098 (2.6552) Prec@1 46.094 (42.776) Prec@5 67.188 (67.787) Epoch: [25][3550/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0192 (2.6553) Prec@1 34.375 (42.774) Prec@5 57.812 (67.789) Epoch: [25][3560/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5790 (2.6550) Prec@1 45.312 (42.777) Prec@5 68.750 (67.794) Epoch: [25][3570/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6372 (2.6550) Prec@1 42.969 (42.774) Prec@5 67.969 (67.795) Epoch: [25][3580/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9308 (2.6552) Prec@1 39.844 (42.770) Prec@5 64.062 (67.794) Epoch: [25][3590/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9186 (2.6552) Prec@1 39.062 (42.774) Prec@5 65.625 (67.799) Epoch: [25][3600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9141 (2.6554) Prec@1 38.281 (42.771) Prec@5 64.062 (67.794) Epoch: [25][3610/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.3724 (2.6554) Prec@1 45.312 (42.771) Prec@5 76.562 (67.792) Epoch: [25][3620/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4818 (2.6554) Prec@1 40.625 (42.769) Prec@5 73.438 (67.792) Epoch: [25][3630/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8200 (2.6558) Prec@1 39.062 (42.762) Prec@5 65.625 (67.785) Epoch: [25][3640/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6115 (2.6558) Prec@1 40.625 (42.761) Prec@5 67.969 (67.781) Epoch: [25][3650/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4534 (2.6556) Prec@1 43.750 (42.765) Prec@5 71.875 (67.785) Epoch: [25][3660/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5665 (2.6557) Prec@1 46.875 (42.765) Prec@5 70.312 (67.781) Epoch: [25][3670/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 3.1264 (2.6557) Prec@1 30.469 (42.763) Prec@5 58.594 (67.781) Epoch: [25][3680/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5877 (2.6557) Prec@1 42.969 (42.760) Prec@5 67.188 (67.779) Epoch: [25][3690/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7873 (2.6557) Prec@1 43.750 (42.758) Prec@5 64.844 (67.784) Epoch: [25][3700/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6084 (2.6556) Prec@1 39.844 (42.756) Prec@5 67.969 (67.784) Epoch: [25][3710/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8774 (2.6557) Prec@1 37.500 (42.755) Prec@5 64.844 (67.781) Epoch: [25][3720/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5310 (2.6555) Prec@1 43.750 (42.758) Prec@5 71.875 (67.785) Epoch: [25][3730/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4862 (2.6554) Prec@1 46.094 (42.760) Prec@5 70.312 (67.789) Epoch: [25][3740/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7010 (2.6556) Prec@1 40.625 (42.752) Prec@5 66.406 (67.783) Epoch: [25][3750/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9681 (2.6558) Prec@1 40.625 (42.750) Prec@5 63.281 (67.781) Epoch: [25][3760/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7278 (2.6561) Prec@1 44.531 (42.748) Prec@5 67.969 (67.778) Epoch: [25][3770/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.4935 (2.6557) Prec@1 43.750 (42.753) Prec@5 70.312 (67.785) Epoch: [25][3780/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7758 (2.6559) Prec@1 40.625 (42.745) Prec@5 66.406 (67.783) Epoch: [25][3790/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5444 (2.6556) Prec@1 45.312 (42.749) Prec@5 70.312 (67.788) Epoch: [25][3800/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4925 (2.6557) Prec@1 46.094 (42.747) Prec@5 72.656 (67.786) Epoch: [25][3810/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7331 (2.6557) Prec@1 38.281 (42.741) Prec@5 65.625 (67.783) Epoch: [25][3820/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6788 (2.6555) Prec@1 38.281 (42.742) Prec@5 67.969 (67.789) Epoch: [25][3830/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2363 (2.6555) Prec@1 49.219 (42.741) Prec@5 75.000 (67.792) Epoch: [25][3840/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.9592 (2.6560) Prec@1 42.969 (42.736) Prec@5 62.500 (67.784) Epoch: [25][3850/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7352 (2.6562) Prec@1 42.188 (42.733) Prec@5 67.188 (67.779) Epoch: [25][3860/10010] Time 0.307 (0.331) Data 0.001 (0.001) Loss 2.9355 (2.6562) Prec@1 37.500 (42.737) Prec@5 64.844 (67.780) Epoch: [25][3870/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4787 (2.6564) Prec@1 48.438 (42.737) Prec@5 71.094 (67.774) Epoch: [25][3880/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9347 (2.6564) Prec@1 40.625 (42.738) Prec@5 66.406 (67.772) Epoch: [25][3890/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7590 (2.6562) Prec@1 47.656 (42.744) Prec@5 67.969 (67.773) Epoch: [25][3900/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4688 (2.6561) Prec@1 44.531 (42.747) Prec@5 70.312 (67.781) Epoch: [25][3910/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4460 (2.6560) Prec@1 44.531 (42.750) Prec@5 70.312 (67.781) Epoch: [25][3920/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 3.0237 (2.6562) Prec@1 38.281 (42.748) Prec@5 56.250 (67.776) Epoch: [25][3930/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6861 (2.6561) Prec@1 43.750 (42.748) Prec@5 66.406 (67.775) Epoch: [25][3940/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4916 (2.6560) Prec@1 52.344 (42.749) Prec@5 67.969 (67.773) Epoch: [25][3950/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7586 (2.6561) Prec@1 41.406 (42.746) Prec@5 70.312 (67.771) Epoch: [25][3960/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8308 (2.6563) Prec@1 38.281 (42.748) Prec@5 64.844 (67.767) Epoch: [25][3970/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6476 (2.6563) Prec@1 42.969 (42.749) Prec@5 67.188 (67.770) Epoch: [25][3980/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5961 (2.6565) Prec@1 40.625 (42.746) Prec@5 64.062 (67.763) Epoch: [25][3990/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4925 (2.6563) Prec@1 46.875 (42.751) Prec@5 72.656 (67.768) Epoch: [25][4000/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7515 (2.6566) Prec@1 39.844 (42.747) Prec@5 70.312 (67.765) Epoch: [25][4010/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6131 (2.6568) Prec@1 46.094 (42.741) Prec@5 64.844 (67.757) Epoch: [25][4020/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6047 (2.6569) Prec@1 40.625 (42.739) Prec@5 70.312 (67.759) Epoch: [25][4030/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6436 (2.6568) Prec@1 46.094 (42.743) Prec@5 68.750 (67.761) Epoch: [25][4040/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9965 (2.6568) Prec@1 41.406 (42.744) Prec@5 61.719 (67.761) Epoch: [25][4050/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5965 (2.6567) Prec@1 47.656 (42.746) Prec@5 71.094 (67.762) Epoch: [25][4060/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9943 (2.6570) Prec@1 40.625 (42.743) Prec@5 57.812 (67.759) Epoch: [25][4070/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6100 (2.6571) Prec@1 45.312 (42.740) Prec@5 67.969 (67.756) Epoch: [25][4080/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4091 (2.6572) Prec@1 49.219 (42.740) Prec@5 72.656 (67.758) Epoch: [25][4090/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6513 (2.6573) Prec@1 40.625 (42.738) Prec@5 64.844 (67.754) Epoch: [25][4100/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6396 (2.6570) Prec@1 41.406 (42.741) Prec@5 71.094 (67.759) Epoch: [25][4110/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6648 (2.6571) Prec@1 43.750 (42.739) Prec@5 70.312 (67.756) Epoch: [25][4120/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7932 (2.6570) Prec@1 44.531 (42.742) Prec@5 67.969 (67.757) Epoch: [25][4130/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6214 (2.6569) Prec@1 40.625 (42.741) Prec@5 71.875 (67.758) Epoch: [25][4140/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0443 (2.6569) Prec@1 35.156 (42.743) Prec@5 64.844 (67.758) Epoch: [25][4150/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8597 (2.6571) Prec@1 37.500 (42.738) Prec@5 64.844 (67.755) Epoch: [25][4160/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6614 (2.6571) Prec@1 45.312 (42.738) Prec@5 68.750 (67.757) Epoch: [25][4170/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8647 (2.6572) Prec@1 37.500 (42.732) Prec@5 61.719 (67.754) Epoch: [25][4180/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6299 (2.6572) Prec@1 44.531 (42.733) Prec@5 70.312 (67.753) Epoch: [25][4190/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5895 (2.6570) Prec@1 46.094 (42.735) Prec@5 71.875 (67.755) Epoch: [25][4200/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9129 (2.6572) Prec@1 39.844 (42.731) Prec@5 62.500 (67.752) Epoch: [25][4210/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5981 (2.6573) Prec@1 41.406 (42.731) Prec@5 67.188 (67.752) Epoch: [25][4220/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.8469 (2.6573) Prec@1 45.312 (42.732) Prec@5 66.406 (67.751) Epoch: [25][4230/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4099 (2.6573) Prec@1 42.969 (42.728) Prec@5 70.312 (67.751) Epoch: [25][4240/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7529 (2.6572) Prec@1 39.062 (42.727) Prec@5 65.625 (67.752) Epoch: [25][4250/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6176 (2.6572) Prec@1 37.500 (42.725) Prec@5 71.094 (67.748) Epoch: [25][4260/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4267 (2.6571) Prec@1 46.094 (42.722) Prec@5 71.875 (67.751) Epoch: [25][4270/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7926 (2.6570) Prec@1 37.500 (42.724) Prec@5 64.062 (67.752) Epoch: [25][4280/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4765 (2.6571) Prec@1 45.312 (42.725) Prec@5 71.875 (67.750) Epoch: [25][4290/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5801 (2.6571) Prec@1 50.000 (42.725) Prec@5 67.188 (67.749) Epoch: [25][4300/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7835 (2.6574) Prec@1 45.312 (42.722) Prec@5 65.625 (67.745) Epoch: [25][4310/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7489 (2.6576) Prec@1 41.406 (42.721) Prec@5 64.062 (67.743) Epoch: [25][4320/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4556 (2.6572) Prec@1 50.781 (42.728) Prec@5 70.312 (67.746) Epoch: [25][4330/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6125 (2.6571) Prec@1 47.656 (42.728) Prec@5 74.219 (67.746) Epoch: [25][4340/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 2.5242 (2.6570) Prec@1 42.188 (42.729) Prec@5 68.750 (67.744) Epoch: [25][4350/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8213 (2.6569) Prec@1 37.500 (42.730) Prec@5 64.062 (67.747) Epoch: [25][4360/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8943 (2.6570) Prec@1 42.969 (42.731) Prec@5 64.844 (67.748) Epoch: [25][4370/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.0346 (2.6574) Prec@1 32.031 (42.720) Prec@5 60.156 (67.739) Epoch: [25][4380/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7354 (2.6573) Prec@1 37.500 (42.720) Prec@5 65.625 (67.741) Epoch: [25][4390/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5497 (2.6577) Prec@1 49.219 (42.718) Prec@5 71.094 (67.737) Epoch: [25][4400/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9204 (2.6578) Prec@1 37.500 (42.716) Prec@5 63.281 (67.735) Epoch: [25][4410/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3967 (2.6576) Prec@1 47.656 (42.716) Prec@5 71.094 (67.738) Epoch: [25][4420/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9043 (2.6575) Prec@1 39.844 (42.719) Prec@5 65.625 (67.741) Epoch: [25][4430/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7260 (2.6577) Prec@1 42.969 (42.717) Prec@5 68.750 (67.738) Epoch: [25][4440/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6214 (2.6579) Prec@1 40.625 (42.712) Prec@5 69.531 (67.735) Epoch: [25][4450/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8642 (2.6580) Prec@1 41.406 (42.710) Prec@5 62.500 (67.732) Epoch: [25][4460/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8749 (2.6580) Prec@1 41.406 (42.710) Prec@5 60.938 (67.731) Epoch: [25][4470/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7816 (2.6579) Prec@1 37.500 (42.712) Prec@5 66.406 (67.734) Epoch: [25][4480/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5480 (2.6583) Prec@1 47.656 (42.706) Prec@5 68.750 (67.726) Epoch: [25][4490/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8192 (2.6585) Prec@1 42.969 (42.701) Prec@5 65.625 (67.727) Epoch: [25][4500/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5109 (2.6586) Prec@1 47.656 (42.696) Prec@5 68.750 (67.723) Epoch: [25][4510/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7187 (2.6586) Prec@1 40.625 (42.698) Prec@5 68.750 (67.724) Epoch: [25][4520/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5581 (2.6587) Prec@1 44.531 (42.697) Prec@5 72.656 (67.721) Epoch: [25][4530/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4112 (2.6587) Prec@1 50.000 (42.697) Prec@5 71.094 (67.721) Epoch: [25][4540/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6530 (2.6587) Prec@1 45.312 (42.700) Prec@5 69.531 (67.725) Epoch: [25][4550/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6059 (2.6586) Prec@1 46.094 (42.701) Prec@5 63.281 (67.724) Epoch: [25][4560/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5288 (2.6585) Prec@1 40.625 (42.699) Prec@5 69.531 (67.726) Epoch: [25][4570/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4662 (2.6585) Prec@1 45.312 (42.699) Prec@5 69.531 (67.726) /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: [25][4580/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7109 (2.6585) Prec@1 42.188 (42.701) Prec@5 64.062 (67.724) Epoch: [25][4590/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5237 (2.6586) Prec@1 45.312 (42.696) Prec@5 69.531 (67.721) Epoch: [25][4600/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9483 (2.6589) Prec@1 33.594 (42.690) Prec@5 64.844 (67.718) Epoch: [25][4610/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3798 (2.6588) Prec@1 46.094 (42.692) Prec@5 75.000 (67.720) Epoch: [25][4620/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.9409 (2.6590) Prec@1 38.281 (42.687) Prec@5 63.281 (67.717) Epoch: [25][4630/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.4222 (2.6592) Prec@1 44.531 (42.681) Prec@5 68.750 (67.713) Epoch: [25][4640/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4572 (2.6589) Prec@1 42.969 (42.685) Prec@5 69.531 (67.720) Epoch: [25][4650/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 3.0627 (2.6590) Prec@1 37.500 (42.683) Prec@5 57.031 (67.719) Epoch: [25][4660/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5423 (2.6588) Prec@1 43.750 (42.685) Prec@5 67.188 (67.720) Epoch: [25][4670/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4157 (2.6590) Prec@1 43.750 (42.681) Prec@5 68.750 (67.714) Epoch: [25][4680/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7961 (2.6591) Prec@1 39.062 (42.684) Prec@5 61.719 (67.713) Epoch: [25][4690/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6784 (2.6590) Prec@1 46.094 (42.684) Prec@5 62.500 (67.711) Epoch: [25][4700/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9152 (2.6595) Prec@1 42.969 (42.681) Prec@5 61.719 (67.701) Epoch: [25][4710/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.1040 (2.6595) Prec@1 32.031 (42.681) Prec@5 60.156 (67.700) Epoch: [25][4720/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5945 (2.6597) Prec@1 46.875 (42.679) Prec@5 67.188 (67.697) Epoch: [25][4730/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9155 (2.6595) Prec@1 35.156 (42.679) Prec@5 65.625 (67.699) Epoch: [25][4740/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7165 (2.6594) Prec@1 42.969 (42.682) Prec@5 67.188 (67.702) Epoch: [25][4750/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4156 (2.6593) Prec@1 51.562 (42.681) Prec@5 73.438 (67.704) Epoch: [25][4760/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5145 (2.6594) Prec@1 43.750 (42.680) Prec@5 67.969 (67.703) Epoch: [25][4770/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.8021 (2.6595) Prec@1 36.719 (42.678) Prec@5 67.188 (67.700) Epoch: [25][4780/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0317 (2.6596) Prec@1 39.844 (42.678) Prec@5 60.156 (67.696) Epoch: [25][4790/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6783 (2.6599) Prec@1 42.188 (42.676) Prec@5 62.500 (67.688) Epoch: [25][4800/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6804 (2.6597) Prec@1 40.625 (42.682) Prec@5 66.406 (67.695) Epoch: [25][4810/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4949 (2.6596) Prec@1 46.094 (42.681) Prec@5 73.438 (67.699) Epoch: [25][4820/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7214 (2.6598) Prec@1 38.281 (42.675) Prec@5 67.969 (67.693) Epoch: [25][4830/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5527 (2.6598) Prec@1 39.844 (42.675) Prec@5 72.656 (67.694) Epoch: [25][4840/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8228 (2.6599) Prec@1 34.375 (42.673) Prec@5 67.969 (67.692) Epoch: [25][4850/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9060 (2.6598) Prec@1 39.062 (42.676) Prec@5 60.938 (67.692) Epoch: [25][4860/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9317 (2.6598) Prec@1 39.062 (42.675) Prec@5 59.375 (67.693) Epoch: [25][4870/10010] Time 0.310 (0.331) Data 0.001 (0.001) Loss 2.8588 (2.6598) Prec@1 42.969 (42.675) Prec@5 63.281 (67.694) Epoch: [25][4880/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6896 (2.6597) Prec@1 42.188 (42.678) Prec@5 68.750 (67.694) Epoch: [25][4890/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8217 (2.6598) Prec@1 38.281 (42.675) Prec@5 67.969 (67.694) Epoch: [25][4900/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8279 (2.6600) Prec@1 37.500 (42.672) Prec@5 62.500 (67.691) Epoch: [25][4910/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7803 (2.6600) Prec@1 38.281 (42.673) Prec@5 63.281 (67.688) Epoch: [25][4920/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.2761 (2.6601) Prec@1 53.125 (42.672) Prec@5 75.781 (67.685) Epoch: [25][4930/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7482 (2.6602) Prec@1 44.531 (42.671) Prec@5 67.969 (67.688) Epoch: [25][4940/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7534 (2.6602) Prec@1 42.969 (42.672) Prec@5 62.500 (67.689) Epoch: [25][4950/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7349 (2.6602) Prec@1 42.188 (42.672) Prec@5 65.625 (67.688) Epoch: [25][4960/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7684 (2.6604) Prec@1 38.281 (42.670) Prec@5 63.281 (67.687) Epoch: [25][4970/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7901 (2.6604) Prec@1 44.531 (42.672) Prec@5 66.406 (67.686) Epoch: [25][4980/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7208 (2.6604) Prec@1 42.188 (42.673) Prec@5 64.062 (67.686) Epoch: [25][4990/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.4628 (2.6603) Prec@1 44.531 (42.672) Prec@5 66.406 (67.687) Epoch: [25][5000/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6939 (2.6604) Prec@1 46.875 (42.671) Prec@5 69.531 (67.688) Epoch: [25][5010/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2304 (2.6603) Prec@1 49.219 (42.669) Prec@5 71.094 (67.691) Epoch: [25][5020/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8765 (2.6606) Prec@1 35.938 (42.665) Prec@5 67.188 (67.691) Epoch: [25][5030/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5276 (2.6603) Prec@1 46.875 (42.669) Prec@5 74.219 (67.693) Epoch: [25][5040/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7765 (2.6601) Prec@1 42.188 (42.672) Prec@5 61.719 (67.695) Epoch: [25][5050/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5592 (2.6600) Prec@1 42.969 (42.671) Prec@5 71.094 (67.696) Epoch: [25][5060/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7918 (2.6602) Prec@1 44.531 (42.672) Prec@5 63.281 (67.694) Epoch: [25][5070/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7465 (2.6603) Prec@1 44.531 (42.670) Prec@5 65.625 (67.691) Epoch: [25][5080/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3436 (2.6601) Prec@1 48.438 (42.672) Prec@5 71.094 (67.694) Epoch: [25][5090/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4765 (2.6603) Prec@1 45.312 (42.672) Prec@5 70.312 (67.690) Epoch: [25][5100/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.2267 (2.6602) Prec@1 32.812 (42.673) Prec@5 60.938 (67.691) Epoch: [25][5110/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7942 (2.6601) Prec@1 35.156 (42.672) Prec@5 65.625 (67.695) Epoch: [25][5120/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.3954 (2.6602) Prec@1 50.000 (42.670) Prec@5 70.312 (67.693) Epoch: [25][5130/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8556 (2.6602) Prec@1 40.625 (42.672) Prec@5 65.625 (67.693) Epoch: [25][5140/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0133 (2.6605) Prec@1 35.938 (42.671) Prec@5 59.375 (67.688) Epoch: [25][5150/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8610 (2.6608) Prec@1 38.281 (42.666) Prec@5 67.188 (67.685) Epoch: [25][5160/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.0457 (2.6610) Prec@1 42.188 (42.662) Prec@5 62.500 (67.681) Epoch: [25][5170/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5486 (2.6610) Prec@1 46.094 (42.662) Prec@5 67.188 (67.680) Epoch: [25][5180/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6143 (2.6609) Prec@1 44.531 (42.666) Prec@5 67.188 (67.683) Epoch: [25][5190/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7332 (2.6608) Prec@1 42.969 (42.670) Prec@5 60.938 (67.683) Epoch: [25][5200/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5793 (2.6607) Prec@1 40.625 (42.671) Prec@5 74.219 (67.687) Epoch: [25][5210/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5667 (2.6607) Prec@1 48.438 (42.674) Prec@5 69.531 (67.687) Epoch: [25][5220/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6186 (2.6607) Prec@1 42.188 (42.677) Prec@5 73.438 (67.690) Epoch: [25][5230/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6583 (2.6607) Prec@1 45.312 (42.676) Prec@5 67.969 (67.686) Epoch: [25][5240/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3890 (2.6604) Prec@1 46.875 (42.678) Prec@5 72.656 (67.689) Epoch: [25][5250/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6460 (2.6606) Prec@1 42.188 (42.678) Prec@5 69.531 (67.689) Epoch: [25][5260/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4005 (2.6606) Prec@1 43.750 (42.675) Prec@5 71.094 (67.688) Epoch: [25][5270/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7521 (2.6608) Prec@1 39.062 (42.669) Prec@5 65.625 (67.681) Epoch: [25][5280/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5066 (2.6608) Prec@1 50.781 (42.667) Prec@5 71.875 (67.681) Epoch: [25][5290/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7281 (2.6608) Prec@1 39.844 (42.666) Prec@5 67.969 (67.679) Epoch: [25][5300/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5824 (2.6607) Prec@1 44.531 (42.670) Prec@5 67.969 (67.681) Epoch: [25][5310/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6555 (2.6607) Prec@1 42.969 (42.669) Prec@5 67.969 (67.681) Epoch: [25][5320/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7295 (2.6609) Prec@1 42.969 (42.669) Prec@5 68.750 (67.679) Epoch: [25][5330/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5383 (2.6609) Prec@1 35.938 (42.663) Prec@5 70.312 (67.678) Epoch: [25][5340/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7587 (2.6605) Prec@1 39.062 (42.667) Prec@5 66.406 (67.682) /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: [25][5350/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6050 (2.6603) Prec@1 44.531 (42.672) Prec@5 66.406 (67.686) Epoch: [25][5360/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7651 (2.6602) Prec@1 41.406 (42.675) Prec@5 64.844 (67.689) Epoch: [25][5370/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4958 (2.6602) Prec@1 43.750 (42.676) Prec@5 71.094 (67.690) Epoch: [25][5380/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2073 (2.6599) Prec@1 46.094 (42.678) Prec@5 74.219 (67.695) Epoch: [25][5390/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9332 (2.6598) Prec@1 39.062 (42.676) Prec@5 66.406 (67.696) Epoch: [25][5400/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8158 (2.6598) Prec@1 43.750 (42.677) Prec@5 59.375 (67.696) Epoch: [25][5410/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7662 (2.6598) Prec@1 41.406 (42.675) Prec@5 68.750 (67.696) Epoch: [25][5420/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6658 (2.6597) Prec@1 42.188 (42.676) Prec@5 65.625 (67.697) Epoch: [25][5430/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4774 (2.6596) Prec@1 50.781 (42.679) Prec@5 67.188 (67.697) Epoch: [25][5440/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8118 (2.6595) Prec@1 37.500 (42.680) Prec@5 67.188 (67.701) Epoch: [25][5450/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0413 (2.6594) Prec@1 36.719 (42.682) Prec@5 59.375 (67.701) Epoch: [25][5460/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8046 (2.6596) Prec@1 38.281 (42.679) Prec@5 63.281 (67.700) Epoch: [25][5470/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0042 (2.6595) Prec@1 35.938 (42.680) Prec@5 57.812 (67.699) Epoch: [25][5480/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6534 (2.6595) Prec@1 41.406 (42.681) Prec@5 67.969 (67.699) Epoch: [25][5490/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.6727 (2.6594) Prec@1 42.969 (42.681) Prec@5 66.406 (67.702) Epoch: [25][5500/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5967 (2.6595) Prec@1 42.188 (42.681) Prec@5 68.750 (67.702) Epoch: [25][5510/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8683 (2.6596) Prec@1 42.188 (42.679) Prec@5 67.188 (67.699) Epoch: [25][5520/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4811 (2.6596) Prec@1 42.969 (42.676) Prec@5 69.531 (67.697) Epoch: [25][5530/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7451 (2.6596) Prec@1 41.406 (42.678) Prec@5 62.500 (67.700) Epoch: [25][5540/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.0663 (2.6596) Prec@1 32.812 (42.676) Prec@5 60.938 (67.697) Epoch: [25][5550/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2650 (2.6594) Prec@1 44.531 (42.679) Prec@5 74.219 (67.700) Epoch: [25][5560/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8452 (2.6594) Prec@1 37.500 (42.679) Prec@5 62.500 (67.700) Epoch: [25][5570/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.0351 (2.6594) Prec@1 39.062 (42.678) Prec@5 57.812 (67.699) Epoch: [25][5580/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6483 (2.6594) Prec@1 43.750 (42.678) Prec@5 67.188 (67.699) Epoch: [25][5590/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5014 (2.6593) Prec@1 43.750 (42.681) Prec@5 68.750 (67.701) Epoch: [25][5600/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5456 (2.6591) Prec@1 43.750 (42.684) Prec@5 70.312 (67.703) Epoch: [25][5610/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4678 (2.6593) Prec@1 42.969 (42.678) Prec@5 67.188 (67.701) Epoch: [25][5620/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4863 (2.6595) Prec@1 41.406 (42.673) Prec@5 72.656 (67.699) Epoch: [25][5630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.1885 (2.6596) Prec@1 52.344 (42.674) Prec@5 76.562 (67.696) Epoch: [25][5640/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8787 (2.6596) Prec@1 39.844 (42.673) Prec@5 61.719 (67.697) Epoch: [25][5650/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6028 (2.6597) Prec@1 44.531 (42.673) Prec@5 66.406 (67.696) Epoch: [25][5660/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6402 (2.6596) Prec@1 41.406 (42.675) Prec@5 68.750 (67.698) Epoch: [25][5670/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9119 (2.6595) Prec@1 33.594 (42.679) Prec@5 60.156 (67.698) Epoch: [25][5680/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0209 (2.6596) Prec@1 39.844 (42.680) Prec@5 61.719 (67.697) Epoch: [25][5690/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7203 (2.6596) Prec@1 41.406 (42.680) Prec@5 67.969 (67.694) Epoch: [25][5700/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0938 (2.6595) Prec@1 32.812 (42.680) Prec@5 59.375 (67.697) Epoch: [25][5710/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7761 (2.6596) Prec@1 39.062 (42.678) Prec@5 65.625 (67.698) Epoch: [25][5720/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8192 (2.6595) Prec@1 39.062 (42.678) Prec@5 66.406 (67.701) Epoch: [25][5730/10010] Time 0.338 (0.331) Data 0.003 (0.001) Loss 2.4426 (2.6594) Prec@1 42.188 (42.674) Prec@5 66.406 (67.701) Epoch: [25][5740/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6105 (2.6594) Prec@1 42.188 (42.677) Prec@5 64.062 (67.701) Epoch: [25][5750/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7768 (2.6592) Prec@1 42.969 (42.678) Prec@5 67.188 (67.703) Epoch: [25][5760/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7941 (2.6592) Prec@1 40.625 (42.678) Prec@5 64.062 (67.703) Epoch: [25][5770/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3744 (2.6593) Prec@1 42.969 (42.675) Prec@5 70.312 (67.702) Epoch: [25][5780/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3600 (2.6592) Prec@1 49.219 (42.679) Prec@5 73.438 (67.703) Epoch: [25][5790/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5048 (2.6594) Prec@1 45.312 (42.676) Prec@5 71.094 (67.698) Epoch: [25][5800/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.8304 (2.6595) Prec@1 42.969 (42.674) Prec@5 62.500 (67.693) Epoch: [25][5810/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5688 (2.6596) Prec@1 38.281 (42.672) Prec@5 70.312 (67.693) Epoch: [25][5820/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.3970 (2.6596) Prec@1 46.094 (42.667) Prec@5 71.875 (67.694) Epoch: [25][5830/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6999 (2.6596) Prec@1 40.625 (42.664) Prec@5 66.406 (67.694) Epoch: [25][5840/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8708 (2.6598) Prec@1 39.844 (42.661) Prec@5 64.062 (67.694) Epoch: [25][5850/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5766 (2.6599) Prec@1 45.312 (42.660) Prec@5 73.438 (67.693) Epoch: [25][5860/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7973 (2.6598) Prec@1 42.188 (42.659) Prec@5 60.156 (67.691) Epoch: [25][5870/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7826 (2.6602) Prec@1 38.281 (42.653) Prec@5 64.062 (67.685) Epoch: [25][5880/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6167 (2.6601) Prec@1 46.094 (42.654) Prec@5 69.531 (67.688) Epoch: [25][5890/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5661 (2.6602) Prec@1 39.062 (42.651) Prec@5 71.094 (67.685) Epoch: [25][5900/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5120 (2.6602) Prec@1 46.094 (42.651) Prec@5 68.750 (67.684) Epoch: [25][5910/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0374 (2.6603) Prec@1 38.281 (42.650) Prec@5 61.719 (67.682) Epoch: [25][5920/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4414 (2.6601) Prec@1 53.125 (42.656) Prec@5 71.094 (67.686) Epoch: [25][5930/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6159 (2.6601) Prec@1 43.750 (42.658) Prec@5 65.625 (67.687) Epoch: [25][5940/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5422 (2.6602) Prec@1 44.531 (42.657) Prec@5 71.875 (67.685) Epoch: [25][5950/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4458 (2.6603) Prec@1 47.656 (42.654) Prec@5 67.188 (67.683) Epoch: [25][5960/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4560 (2.6604) Prec@1 46.875 (42.655) Prec@5 76.562 (67.682) Epoch: [25][5970/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6336 (2.6605) Prec@1 46.094 (42.650) Prec@5 68.750 (67.679) Epoch: [25][5980/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7721 (2.6603) Prec@1 39.062 (42.649) Prec@5 67.969 (67.684) Epoch: [25][5990/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8135 (2.6602) Prec@1 39.844 (42.650) Prec@5 61.719 (67.687) Epoch: [25][6000/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9729 (2.6602) Prec@1 31.250 (42.650) Prec@5 61.719 (67.689) Epoch: [25][6010/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6863 (2.6602) Prec@1 44.531 (42.655) Prec@5 67.188 (67.691) Epoch: [25][6020/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9025 (2.6602) Prec@1 38.281 (42.652) Prec@5 64.062 (67.691) Epoch: [25][6030/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8621 (2.6604) Prec@1 40.625 (42.646) Prec@5 65.625 (67.687) Epoch: [25][6040/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7358 (2.6607) Prec@1 39.844 (42.641) Prec@5 67.969 (67.683) Epoch: [25][6050/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6691 (2.6607) Prec@1 45.312 (42.642) Prec@5 68.750 (67.683) Epoch: [25][6060/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9571 (2.6607) Prec@1 39.844 (42.643) Prec@5 65.625 (67.684) Epoch: [25][6070/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6407 (2.6606) Prec@1 41.406 (42.642) Prec@5 67.188 (67.686) Epoch: [25][6080/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7776 (2.6608) Prec@1 37.500 (42.639) Prec@5 64.844 (67.686) Epoch: [25][6090/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8459 (2.6607) Prec@1 35.156 (42.642) Prec@5 66.406 (67.686) Epoch: [25][6100/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5131 (2.6607) Prec@1 40.625 (42.640) Prec@5 71.875 (67.687) Epoch: [25][6110/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4104 (2.6607) Prec@1 46.094 (42.638) Prec@5 71.875 (67.688) Epoch: [25][6120/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5298 (2.6607) Prec@1 42.969 (42.639) Prec@5 70.312 (67.689) Epoch: [25][6130/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4072 (2.6607) Prec@1 42.969 (42.637) Prec@5 68.750 (67.689) Epoch: [25][6140/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5756 (2.6606) Prec@1 41.406 (42.639) Prec@5 67.188 (67.690) Epoch: [25][6150/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9168 (2.6606) Prec@1 38.281 (42.642) Prec@5 62.500 (67.691) Epoch: [25][6160/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9061 (2.6605) Prec@1 41.406 (42.646) Prec@5 68.750 (67.692) Epoch: [25][6170/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8158 (2.6607) Prec@1 42.188 (42.644) Prec@5 61.719 (67.685) Epoch: [25][6180/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.0419 (2.6608) Prec@1 35.156 (42.643) Prec@5 64.844 (67.683) Epoch: [25][6190/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6906 (2.6608) Prec@1 46.094 (42.642) Prec@5 67.188 (67.684) Epoch: [25][6200/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.4966 (2.6606) Prec@1 42.969 (42.644) Prec@5 68.750 (67.685) Epoch: [25][6210/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6942 (2.6607) Prec@1 42.969 (42.642) Prec@5 67.188 (67.684) Epoch: [25][6220/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5475 (2.6606) Prec@1 44.531 (42.641) Prec@5 70.312 (67.686) Epoch: [25][6230/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5616 (2.6605) Prec@1 44.531 (42.644) Prec@5 71.094 (67.689) Epoch: [25][6240/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.2897 (2.6603) Prec@1 46.875 (42.647) Prec@5 75.000 (67.693) Epoch: [25][6250/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5165 (2.6601) Prec@1 44.531 (42.647) Prec@5 67.969 (67.698) Epoch: [25][6260/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.0469 (2.6599) Prec@1 39.062 (42.649) Prec@5 61.719 (67.700) Epoch: [25][6270/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8874 (2.6600) Prec@1 36.719 (42.648) Prec@5 65.625 (67.699) Epoch: [25][6280/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0305 (2.6599) Prec@1 41.406 (42.647) Prec@5 62.500 (67.700) Epoch: [25][6290/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7567 (2.6600) Prec@1 41.406 (42.646) Prec@5 67.188 (67.698) Epoch: [25][6300/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7739 (2.6602) Prec@1 39.844 (42.643) Prec@5 65.625 (67.696) Epoch: [25][6310/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4050 (2.6601) Prec@1 45.312 (42.647) Prec@5 70.312 (67.697) Epoch: [25][6320/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5701 (2.6602) Prec@1 41.406 (42.643) Prec@5 66.406 (67.695) Epoch: [25][6330/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9684 (2.6604) Prec@1 37.500 (42.640) Prec@5 63.281 (67.692) Epoch: [25][6340/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.1270 (2.6605) Prec@1 36.719 (42.640) Prec@5 60.938 (67.688) Epoch: [25][6350/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6504 (2.6605) Prec@1 42.188 (42.640) Prec@5 71.094 (67.690) Epoch: [25][6360/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7224 (2.6606) Prec@1 40.625 (42.638) Prec@5 66.406 (67.690) Epoch: [25][6370/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7745 (2.6606) Prec@1 39.062 (42.639) Prec@5 64.844 (67.690) Epoch: [25][6380/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.2218 (2.6605) Prec@1 53.125 (42.641) Prec@5 75.781 (67.691) Epoch: [25][6390/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5753 (2.6605) Prec@1 43.750 (42.641) Prec@5 75.000 (67.691) Epoch: [25][6400/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7884 (2.6604) Prec@1 44.531 (42.644) Prec@5 59.375 (67.690) Epoch: [25][6410/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5826 (2.6604) Prec@1 46.875 (42.644) Prec@5 70.312 (67.691) Epoch: [25][6420/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4913 (2.6604) Prec@1 41.406 (42.643) Prec@5 67.188 (67.692) Epoch: [25][6430/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5932 (2.6605) Prec@1 40.625 (42.640) Prec@5 68.750 (67.692) Epoch: [25][6440/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8913 (2.6605) Prec@1 38.281 (42.638) Prec@5 60.938 (67.692) Epoch: [25][6450/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8935 (2.6605) Prec@1 44.531 (42.637) Prec@5 62.500 (67.692) Epoch: [25][6460/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6967 (2.6603) Prec@1 39.844 (42.642) Prec@5 67.969 (67.697) Epoch: [25][6470/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5803 (2.6604) Prec@1 40.625 (42.640) Prec@5 69.531 (67.697) Epoch: [25][6480/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6752 (2.6606) Prec@1 42.188 (42.635) Prec@5 68.750 (67.692) Epoch: [25][6490/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4765 (2.6604) Prec@1 44.531 (42.639) Prec@5 69.531 (67.695) Epoch: [25][6500/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3967 (2.6604) Prec@1 41.406 (42.638) Prec@5 69.531 (67.694) Epoch: [25][6510/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5802 (2.6603) Prec@1 43.750 (42.639) Prec@5 64.062 (67.694) Epoch: [25][6520/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6057 (2.6603) Prec@1 40.625 (42.638) Prec@5 69.531 (67.692) Epoch: [25][6530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5880 (2.6605) Prec@1 46.875 (42.637) Prec@5 67.969 (67.690) Epoch: [25][6540/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7503 (2.6605) Prec@1 37.500 (42.635) Prec@5 64.062 (67.689) Epoch: [25][6550/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6446 (2.6604) Prec@1 39.062 (42.634) Prec@5 67.969 (67.690) Epoch: [25][6560/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8222 (2.6606) Prec@1 40.625 (42.633) Prec@5 66.406 (67.688) Epoch: [25][6570/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.0389 (2.6605) Prec@1 42.188 (42.636) Prec@5 62.500 (67.690) Epoch: [25][6580/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5495 (2.6605) Prec@1 43.750 (42.638) Prec@5 71.875 (67.690) Epoch: [25][6590/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5772 (2.6604) Prec@1 43.750 (42.638) Prec@5 70.312 (67.690) Epoch: [25][6600/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.9829 (2.6605) Prec@1 42.188 (42.641) Prec@5 67.188 (67.690) Epoch: [25][6610/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0084 (2.6606) Prec@1 39.062 (42.639) Prec@5 60.156 (67.686) Epoch: [25][6620/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7082 (2.6606) Prec@1 39.062 (42.638) Prec@5 68.750 (67.686) Epoch: [25][6630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4604 (2.6606) Prec@1 52.344 (42.639) Prec@5 72.656 (67.687) Epoch: [25][6640/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8953 (2.6607) Prec@1 39.062 (42.639) Prec@5 65.625 (67.686) Epoch: [25][6650/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5519 (2.6605) Prec@1 40.625 (42.641) Prec@5 73.438 (67.689) Epoch: [25][6660/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4793 (2.6605) Prec@1 50.781 (42.642) Prec@5 69.531 (67.689) Epoch: [25][6670/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7085 (2.6604) Prec@1 41.406 (42.643) Prec@5 66.406 (67.691) Epoch: [25][6680/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8522 (2.6604) Prec@1 39.062 (42.644) Prec@5 67.969 (67.693) Epoch: [25][6690/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8605 (2.6603) Prec@1 40.625 (42.645) Prec@5 65.625 (67.695) Epoch: [25][6700/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0030 (2.6603) Prec@1 35.156 (42.644) Prec@5 60.156 (67.696) Epoch: [25][6710/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9476 (2.6603) Prec@1 35.156 (42.642) Prec@5 58.594 (67.698) Epoch: [25][6720/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5945 (2.6602) Prec@1 43.750 (42.643) Prec@5 70.312 (67.700) Epoch: [25][6730/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4915 (2.6602) Prec@1 45.312 (42.644) Prec@5 67.969 (67.701) Epoch: [25][6740/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6270 (2.6601) Prec@1 44.531 (42.646) Prec@5 64.844 (67.702) Epoch: [25][6750/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7231 (2.6601) Prec@1 43.750 (42.645) Prec@5 64.062 (67.700) Epoch: [25][6760/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9754 (2.6603) Prec@1 36.719 (42.643) Prec@5 64.062 (67.695) Epoch: [25][6770/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8471 (2.6602) Prec@1 43.750 (42.644) Prec@5 62.500 (67.697) Epoch: [25][6780/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8628 (2.6603) Prec@1 39.062 (42.643) Prec@5 67.969 (67.698) Epoch: [25][6790/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6586 (2.6603) Prec@1 42.188 (42.643) Prec@5 67.969 (67.698) Epoch: [25][6800/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8659 (2.6603) Prec@1 44.531 (42.643) Prec@5 67.188 (67.699) Epoch: [25][6810/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6331 (2.6604) Prec@1 42.188 (42.640) Prec@5 65.625 (67.696) Epoch: [25][6820/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7274 (2.6604) Prec@1 38.281 (42.638) Prec@5 65.625 (67.695) Epoch: [25][6830/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.7608 (2.6603) Prec@1 42.188 (42.640) Prec@5 67.969 (67.697) Epoch: [25][6840/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7196 (2.6605) Prec@1 46.875 (42.638) Prec@5 64.062 (67.695) Epoch: [25][6850/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8605 (2.6606) Prec@1 35.156 (42.633) Prec@5 62.500 (67.692) Epoch: [25][6860/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9300 (2.6608) Prec@1 39.062 (42.629) Prec@5 59.375 (67.689) Epoch: [25][6870/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0559 (2.6608) Prec@1 36.719 (42.629) Prec@5 64.062 (67.689) Epoch: [25][6880/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5979 (2.6609) Prec@1 42.969 (42.628) Prec@5 72.656 (67.689) Epoch: [25][6890/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8296 (2.6610) Prec@1 37.500 (42.628) Prec@5 69.531 (67.688) Epoch: [25][6900/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7818 (2.6610) Prec@1 36.719 (42.628) Prec@5 68.750 (67.688) Epoch: [25][6910/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8382 (2.6610) Prec@1 43.750 (42.633) Prec@5 63.281 (67.689) Epoch: [25][6920/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6885 (2.6610) Prec@1 38.281 (42.630) Prec@5 66.406 (67.691) Epoch: [25][6930/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5724 (2.6611) Prec@1 46.094 (42.628) Prec@5 64.844 (67.687) Epoch: [25][6940/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8360 (2.6611) Prec@1 39.062 (42.626) Prec@5 64.844 (67.689) Epoch: [25][6950/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4939 (2.6610) Prec@1 48.438 (42.627) Prec@5 69.531 (67.691) Epoch: [25][6960/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4694 (2.6611) Prec@1 49.219 (42.626) Prec@5 69.531 (67.688) Epoch: [25][6970/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4430 (2.6610) Prec@1 47.656 (42.627) Prec@5 67.969 (67.691) Epoch: [25][6980/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.9315 (2.6612) Prec@1 36.719 (42.624) Prec@5 62.500 (67.689) Epoch: [25][6990/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4595 (2.6610) Prec@1 46.094 (42.628) Prec@5 69.531 (67.693) Epoch: [25][7000/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6371 (2.6610) Prec@1 40.625 (42.627) Prec@5 63.281 (67.693) Epoch: [25][7010/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2894 (2.6609) Prec@1 48.438 (42.625) Prec@5 71.875 (67.693) Epoch: [25][7020/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7256 (2.6610) Prec@1 42.969 (42.624) Prec@5 66.406 (67.693) Epoch: [25][7030/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7926 (2.6609) Prec@1 42.188 (42.625) Prec@5 61.719 (67.693) Epoch: [25][7040/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.5832 (2.6610) Prec@1 44.531 (42.622) Prec@5 67.188 (67.692) Epoch: [25][7050/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.4147 (2.6611) Prec@1 40.625 (42.619) Prec@5 74.219 (67.692) Epoch: [25][7060/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.3243 (2.6610) Prec@1 49.219 (42.623) Prec@5 76.562 (67.694) Epoch: [25][7070/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9527 (2.6612) Prec@1 36.719 (42.618) Prec@5 60.156 (67.692) Epoch: [25][7080/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6874 (2.6613) Prec@1 40.625 (42.616) Prec@5 66.406 (67.690) Epoch: [25][7090/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4923 (2.6613) Prec@1 44.531 (42.617) Prec@5 69.531 (67.689) Epoch: [25][7100/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6680 (2.6613) Prec@1 42.969 (42.615) Prec@5 67.188 (67.688) Epoch: [25][7110/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5362 (2.6612) Prec@1 39.062 (42.618) Prec@5 69.531 (67.689) Epoch: [25][7120/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5860 (2.6612) Prec@1 45.312 (42.618) Prec@5 70.312 (67.691) Epoch: [25][7130/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.3951 (2.6612) Prec@1 48.438 (42.619) Prec@5 71.094 (67.693) Epoch: [25][7140/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7393 (2.6611) Prec@1 41.406 (42.619) Prec@5 70.312 (67.693) Epoch: [25][7150/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0260 (2.6611) Prec@1 39.062 (42.616) Prec@5 63.281 (67.691) Epoch: [25][7160/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.0662 (2.6614) Prec@1 35.938 (42.612) Prec@5 53.125 (67.688) Epoch: [25][7170/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6605 (2.6614) Prec@1 40.625 (42.613) Prec@5 70.312 (67.689) Epoch: [25][7180/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8158 (2.6615) Prec@1 36.719 (42.611) Prec@5 66.406 (67.688) Epoch: [25][7190/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8015 (2.6614) Prec@1 39.844 (42.613) Prec@5 70.312 (67.689) Epoch: [25][7200/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4241 (2.6616) Prec@1 44.531 (42.611) Prec@5 68.750 (67.685) Epoch: [25][7210/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4962 (2.6616) Prec@1 41.406 (42.609) Prec@5 67.188 (67.684) Epoch: [25][7220/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9715 (2.6617) Prec@1 35.938 (42.606) Prec@5 64.844 (67.682) Epoch: [25][7230/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6444 (2.6617) Prec@1 35.938 (42.606) Prec@5 67.969 (67.682) Epoch: [25][7240/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5784 (2.6617) Prec@1 43.750 (42.606) Prec@5 68.750 (67.681) Epoch: [25][7250/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5097 (2.6617) Prec@1 42.188 (42.607) Prec@5 70.312 (67.681) Epoch: [25][7260/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6237 (2.6617) Prec@1 40.625 (42.608) Prec@5 71.875 (67.683) Epoch: [25][7270/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5733 (2.6615) Prec@1 46.094 (42.608) Prec@5 71.094 (67.684) Epoch: [25][7280/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6603 (2.6614) Prec@1 43.750 (42.609) Prec@5 68.750 (67.686) Epoch: [25][7290/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7486 (2.6614) Prec@1 41.406 (42.608) Prec@5 64.062 (67.687) Epoch: [25][7300/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4553 (2.6613) Prec@1 42.969 (42.608) Prec@5 69.531 (67.686) Epoch: [25][7310/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7812 (2.6614) Prec@1 41.406 (42.609) Prec@5 65.625 (67.686) Epoch: [25][7320/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4032 (2.6613) Prec@1 48.438 (42.609) Prec@5 67.969 (67.687) Epoch: [25][7330/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4265 (2.6614) Prec@1 50.000 (42.610) Prec@5 72.656 (67.686) Epoch: [25][7340/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6423 (2.6614) Prec@1 43.750 (42.608) Prec@5 70.312 (67.687) Epoch: [25][7350/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4555 (2.6615) Prec@1 42.969 (42.605) Prec@5 69.531 (67.684) Epoch: [25][7360/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6294 (2.6614) Prec@1 41.406 (42.605) Prec@5 71.875 (67.688) Epoch: [25][7370/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7310 (2.6614) Prec@1 42.188 (42.606) Prec@5 67.969 (67.690) Epoch: [25][7380/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8430 (2.6615) Prec@1 39.844 (42.605) Prec@5 62.500 (67.689) Epoch: [25][7390/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8836 (2.6616) Prec@1 42.188 (42.602) Prec@5 59.375 (67.687) Epoch: [25][7400/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5799 (2.6617) Prec@1 42.969 (42.600) Prec@5 65.625 (67.684) Epoch: [25][7410/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4070 (2.6617) Prec@1 44.531 (42.601) Prec@5 70.312 (67.683) Epoch: [25][7420/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0532 (2.6619) Prec@1 38.281 (42.600) Prec@5 58.594 (67.682) Epoch: [25][7430/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5587 (2.6620) Prec@1 40.625 (42.599) Prec@5 65.625 (67.681) Epoch: [25][7440/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8154 (2.6620) Prec@1 35.156 (42.598) Prec@5 71.094 (67.683) Epoch: [25][7450/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7344 (2.6620) Prec@1 39.844 (42.599) Prec@5 67.188 (67.681) Epoch: [25][7460/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9646 (2.6622) Prec@1 32.812 (42.596) Prec@5 62.500 (67.678) Epoch: [25][7470/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7038 (2.6621) Prec@1 44.531 (42.595) Prec@5 68.750 (67.679) Epoch: [25][7480/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5867 (2.6621) Prec@1 44.531 (42.594) Prec@5 67.969 (67.679) Epoch: [25][7490/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7477 (2.6621) Prec@1 35.156 (42.596) Prec@5 67.969 (67.679) Epoch: [25][7500/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7095 (2.6621) Prec@1 39.062 (42.595) Prec@5 64.062 (67.677) Epoch: [25][7510/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4321 (2.6620) Prec@1 43.750 (42.595) Prec@5 71.094 (67.677) Epoch: [25][7520/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 3.2112 (2.6620) Prec@1 35.156 (42.594) Prec@5 60.156 (67.677) Epoch: [25][7530/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7191 (2.6621) Prec@1 40.625 (42.593) Prec@5 68.750 (67.675) Epoch: [25][7540/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5944 (2.6623) Prec@1 45.312 (42.589) Prec@5 67.188 (67.673) Epoch: [25][7550/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5118 (2.6623) Prec@1 50.000 (42.591) Prec@5 69.531 (67.671) Epoch: [25][7560/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6689 (2.6623) Prec@1 48.438 (42.590) Prec@5 66.406 (67.672) Epoch: [25][7570/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8261 (2.6623) Prec@1 44.531 (42.590) Prec@5 64.062 (67.671) Epoch: [25][7580/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8520 (2.6623) Prec@1 40.625 (42.591) Prec@5 61.719 (67.670) Epoch: [25][7590/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6089 (2.6623) Prec@1 42.969 (42.592) Prec@5 65.625 (67.669) Epoch: [25][7600/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 3.4168 (2.6624) Prec@1 34.375 (42.592) Prec@5 57.031 (67.667) Epoch: [25][7610/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6389 (2.6624) Prec@1 40.625 (42.589) Prec@5 69.531 (67.667) Epoch: [25][7620/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6530 (2.6624) Prec@1 43.750 (42.588) Prec@5 67.969 (67.667) Epoch: [25][7630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5529 (2.6623) Prec@1 47.656 (42.590) Prec@5 67.188 (67.667) Epoch: [25][7640/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7410 (2.6622) Prec@1 32.812 (42.590) Prec@5 69.531 (67.668) Epoch: [25][7650/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6978 (2.6622) Prec@1 39.062 (42.588) Prec@5 67.969 (67.668) Epoch: [25][7660/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9277 (2.6622) Prec@1 39.844 (42.587) Prec@5 60.156 (67.668) Epoch: [25][7670/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8856 (2.6622) Prec@1 42.188 (42.587) Prec@5 64.844 (67.671) Epoch: [25][7680/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6714 (2.6622) Prec@1 40.625 (42.587) Prec@5 68.750 (67.670) Epoch: [25][7690/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.3742 (2.6622) Prec@1 49.219 (42.587) Prec@5 72.656 (67.671) Epoch: [25][7700/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5994 (2.6621) Prec@1 41.406 (42.588) Prec@5 64.844 (67.671) Epoch: [25][7710/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 3.3086 (2.6622) Prec@1 33.594 (42.585) Prec@5 60.156 (67.670) Epoch: [25][7720/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9385 (2.6623) Prec@1 38.281 (42.586) Prec@5 63.281 (67.670) Epoch: [25][7730/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.3238 (2.6623) Prec@1 33.594 (42.588) Prec@5 56.250 (67.669) Epoch: [25][7740/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7371 (2.6621) Prec@1 40.625 (42.589) Prec@5 66.406 (67.671) Epoch: [25][7750/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5537 (2.6621) Prec@1 44.531 (42.589) Prec@5 71.875 (67.671) Epoch: [25][7760/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.4171 (2.6620) Prec@1 39.844 (42.588) Prec@5 71.875 (67.670) Epoch: [25][7770/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7952 (2.6621) Prec@1 40.625 (42.589) Prec@5 66.406 (67.670) Epoch: [25][7780/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7882 (2.6621) Prec@1 43.750 (42.588) Prec@5 63.281 (67.671) Epoch: [25][7790/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9201 (2.6621) Prec@1 40.625 (42.586) Prec@5 61.719 (67.669) Epoch: [25][7800/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6678 (2.6621) Prec@1 39.844 (42.585) Prec@5 67.969 (67.670) Epoch: [25][7810/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6625 (2.6622) Prec@1 39.844 (42.584) Prec@5 66.406 (67.670) Epoch: [25][7820/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5543 (2.6622) Prec@1 39.844 (42.582) Prec@5 69.531 (67.669) Epoch: [25][7830/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.9749 (2.6622) Prec@1 35.156 (42.582) Prec@5 60.938 (67.668) Epoch: [25][7840/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6743 (2.6623) Prec@1 40.625 (42.581) Prec@5 71.875 (67.667) Epoch: [25][7850/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4856 (2.6622) Prec@1 51.562 (42.583) Prec@5 73.438 (67.668) Epoch: [25][7860/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6472 (2.6622) Prec@1 38.281 (42.581) Prec@5 72.656 (67.670) Epoch: [25][7870/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5353 (2.6622) Prec@1 37.500 (42.579) Prec@5 67.188 (67.671) Epoch: [25][7880/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4385 (2.6623) Prec@1 46.094 (42.576) Prec@5 67.969 (67.669) Epoch: [25][7890/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6580 (2.6623) Prec@1 42.188 (42.575) Prec@5 66.406 (67.669) Epoch: [25][7900/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6290 (2.6623) Prec@1 38.281 (42.575) Prec@5 64.844 (67.670) Epoch: [25][7910/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8463 (2.6621) Prec@1 32.812 (42.578) Prec@5 64.844 (67.672) Epoch: [25][7920/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9493 (2.6622) Prec@1 38.281 (42.578) Prec@5 64.844 (67.669) Epoch: [25][7930/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3259 (2.6623) Prec@1 50.000 (42.578) Prec@5 71.875 (67.668) Epoch: [25][7940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8085 (2.6621) Prec@1 39.062 (42.580) Prec@5 66.406 (67.671) Epoch: [25][7950/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6519 (2.6621) Prec@1 37.500 (42.577) Prec@5 67.188 (67.673) Epoch: [25][7960/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5807 (2.6621) Prec@1 46.094 (42.579) Prec@5 71.094 (67.674) Epoch: [25][7970/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4126 (2.6621) Prec@1 42.188 (42.577) Prec@5 73.438 (67.674) Epoch: [25][7980/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5226 (2.6621) Prec@1 45.312 (42.580) Prec@5 67.188 (67.674) Epoch: [25][7990/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8325 (2.6621) Prec@1 37.500 (42.583) Prec@5 62.500 (67.674) Epoch: [25][8000/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5040 (2.6622) Prec@1 48.438 (42.580) Prec@5 69.531 (67.671) /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: [25][8010/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4201 (2.6621) Prec@1 48.438 (42.581) Prec@5 69.531 (67.674) Epoch: [25][8020/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.0050 (2.6623) Prec@1 32.031 (42.578) Prec@5 58.594 (67.671) Epoch: [25][8030/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4131 (2.6623) Prec@1 41.406 (42.577) Prec@5 72.656 (67.672) Epoch: [25][8040/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7516 (2.6622) Prec@1 42.188 (42.581) Prec@5 67.969 (67.673) Epoch: [25][8050/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8324 (2.6623) Prec@1 36.719 (42.580) Prec@5 64.844 (67.670) Epoch: [25][8060/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6197 (2.6623) Prec@1 42.969 (42.579) Prec@5 62.500 (67.669) Epoch: [25][8070/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4501 (2.6623) Prec@1 51.562 (42.581) Prec@5 69.531 (67.669) Epoch: [25][8080/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8219 (2.6622) Prec@1 43.750 (42.582) Prec@5 68.750 (67.670) Epoch: [25][8090/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8687 (2.6623) Prec@1 43.750 (42.585) Prec@5 60.938 (67.669) Epoch: [25][8100/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9003 (2.6624) Prec@1 38.281 (42.581) Prec@5 65.625 (67.666) Epoch: [25][8110/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6267 (2.6624) Prec@1 43.750 (42.581) Prec@5 69.531 (67.667) Epoch: [25][8120/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7066 (2.6625) Prec@1 39.062 (42.580) Prec@5 67.969 (67.667) Epoch: [25][8130/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9801 (2.6625) Prec@1 34.375 (42.580) Prec@5 61.719 (67.666) Epoch: [25][8140/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8017 (2.6625) Prec@1 39.062 (42.578) Prec@5 62.500 (67.663) Epoch: [25][8150/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7117 (2.6626) Prec@1 40.625 (42.577) Prec@5 64.844 (67.662) Epoch: [25][8160/10010] Time 0.332 (0.331) Data 0.006 (0.001) Loss 2.7538 (2.6627) Prec@1 44.531 (42.578) Prec@5 69.531 (67.661) Epoch: [25][8170/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5942 (2.6627) Prec@1 45.312 (42.580) Prec@5 71.094 (67.662) Epoch: [25][8180/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.4853 (2.6626) Prec@1 46.875 (42.580) Prec@5 73.438 (67.663) Epoch: [25][8190/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6870 (2.6627) Prec@1 43.750 (42.578) Prec@5 64.062 (67.661) Epoch: [25][8200/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5591 (2.6627) Prec@1 45.312 (42.579) Prec@5 71.875 (67.661) Epoch: [25][8210/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5674 (2.6627) Prec@1 46.094 (42.578) Prec@5 68.750 (67.659) Epoch: [25][8220/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7163 (2.6627) Prec@1 37.500 (42.580) Prec@5 67.188 (67.659) Epoch: [25][8230/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6762 (2.6627) Prec@1 50.781 (42.580) Prec@5 68.750 (67.658) Epoch: [25][8240/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5243 (2.6627) Prec@1 48.438 (42.581) Prec@5 68.750 (67.658) Epoch: [25][8250/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.1217 (2.6629) Prec@1 31.250 (42.577) Prec@5 56.250 (67.654) Epoch: [25][8260/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4158 (2.6630) Prec@1 45.312 (42.577) Prec@5 67.969 (67.653) Epoch: [25][8270/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7769 (2.6630) Prec@1 42.969 (42.577) Prec@5 65.625 (67.652) Epoch: [25][8280/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.1476 (2.6629) Prec@1 37.500 (42.579) Prec@5 58.594 (67.655) Epoch: [25][8290/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7929 (2.6629) Prec@1 43.750 (42.579) Prec@5 64.844 (67.654) Epoch: [25][8300/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5308 (2.6631) Prec@1 43.750 (42.576) Prec@5 67.969 (67.652) Epoch: [25][8310/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5596 (2.6631) Prec@1 45.312 (42.576) Prec@5 71.875 (67.652) Epoch: [25][8320/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7804 (2.6632) Prec@1 43.750 (42.576) Prec@5 64.062 (67.652) Epoch: [25][8330/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5646 (2.6633) Prec@1 46.094 (42.576) Prec@5 66.406 (67.652) Epoch: [25][8340/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7053 (2.6633) Prec@1 39.844 (42.576) Prec@5 68.750 (67.653) Epoch: [25][8350/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6670 (2.6633) Prec@1 40.625 (42.575) Prec@5 68.750 (67.653) Epoch: [25][8360/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6391 (2.6633) Prec@1 43.750 (42.576) Prec@5 65.625 (67.652) Epoch: [25][8370/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.3543 (2.6633) Prec@1 49.219 (42.576) Prec@5 71.875 (67.653) Epoch: [25][8380/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5890 (2.6633) Prec@1 43.750 (42.575) Prec@5 71.094 (67.652) Epoch: [25][8390/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7666 (2.6632) Prec@1 44.531 (42.577) Prec@5 64.844 (67.653) Epoch: [25][8400/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6017 (2.6631) Prec@1 42.969 (42.577) Prec@5 68.750 (67.652) Epoch: [25][8410/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7905 (2.6632) Prec@1 35.938 (42.576) Prec@5 68.750 (67.652) Epoch: [25][8420/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6691 (2.6631) Prec@1 39.062 (42.575) Prec@5 69.531 (67.653) Epoch: [25][8430/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.3796 (2.6631) Prec@1 50.000 (42.576) Prec@5 75.781 (67.653) Epoch: [25][8440/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4066 (2.6631) Prec@1 42.969 (42.577) Prec@5 67.969 (67.654) Epoch: [25][8450/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8903 (2.6630) Prec@1 39.062 (42.578) Prec@5 65.625 (67.656) Epoch: [25][8460/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6947 (2.6629) Prec@1 43.750 (42.581) Prec@5 67.188 (67.658) Epoch: [25][8470/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9561 (2.6631) Prec@1 41.406 (42.577) Prec@5 60.938 (67.656) Epoch: [25][8480/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6519 (2.6631) Prec@1 47.656 (42.578) Prec@5 71.094 (67.658) Epoch: [25][8490/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5908 (2.6631) Prec@1 46.094 (42.580) Prec@5 67.969 (67.659) Epoch: [25][8500/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5719 (2.6632) Prec@1 45.312 (42.578) Prec@5 67.188 (67.657) Epoch: [25][8510/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.3406 (2.6632) Prec@1 47.656 (42.578) Prec@5 71.875 (67.658) Epoch: [25][8520/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8026 (2.6633) Prec@1 39.844 (42.577) Prec@5 62.500 (67.655) Epoch: [25][8530/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6461 (2.6633) Prec@1 44.531 (42.577) Prec@5 67.188 (67.657) Epoch: [25][8540/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6187 (2.6634) Prec@1 46.875 (42.576) Prec@5 66.406 (67.655) Epoch: [25][8550/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5337 (2.6633) Prec@1 43.750 (42.577) Prec@5 68.750 (67.655) Epoch: [25][8560/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4651 (2.6632) Prec@1 49.219 (42.578) Prec@5 67.188 (67.655) Epoch: [25][8570/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5836 (2.6632) Prec@1 38.281 (42.579) Prec@5 70.312 (67.655) Epoch: [25][8580/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.6764 (2.6633) Prec@1 42.188 (42.579) Prec@5 68.750 (67.653) Epoch: [25][8590/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6829 (2.6633) Prec@1 44.531 (42.579) Prec@5 66.406 (67.651) Epoch: [25][8600/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3626 (2.6632) Prec@1 50.781 (42.579) Prec@5 74.219 (67.652) Epoch: [25][8610/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5216 (2.6632) Prec@1 42.188 (42.581) Prec@5 70.312 (67.651) Epoch: [25][8620/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7114 (2.6631) Prec@1 42.969 (42.582) Prec@5 64.844 (67.652) Epoch: [25][8630/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8333 (2.6632) Prec@1 40.625 (42.581) Prec@5 62.500 (67.651) Epoch: [25][8640/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.2028 (2.6632) Prec@1 37.500 (42.578) Prec@5 57.812 (67.650) Epoch: [25][8650/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.3601 (2.6631) Prec@1 46.094 (42.580) Prec@5 74.219 (67.652) Epoch: [25][8660/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.7198 (2.6631) Prec@1 44.531 (42.582) Prec@5 67.969 (67.653) Epoch: [25][8670/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7219 (2.6631) Prec@1 41.406 (42.582) Prec@5 70.312 (67.653) Epoch: [25][8680/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8046 (2.6632) Prec@1 34.375 (42.578) Prec@5 67.188 (67.652) Epoch: [25][8690/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7278 (2.6632) Prec@1 46.094 (42.578) Prec@5 63.281 (67.650) Epoch: [25][8700/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7551 (2.6632) Prec@1 44.531 (42.579) Prec@5 66.406 (67.651) Epoch: [25][8710/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8080 (2.6632) Prec@1 39.062 (42.578) Prec@5 62.500 (67.651) Epoch: [25][8720/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6263 (2.6632) Prec@1 48.438 (42.581) Prec@5 67.188 (67.652) Epoch: [25][8730/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6387 (2.6632) Prec@1 39.062 (42.579) Prec@5 64.844 (67.650) Epoch: [25][8740/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0784 (2.6632) Prec@1 34.375 (42.579) Prec@5 60.156 (67.648) Epoch: [25][8750/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.1313 (2.6632) Prec@1 36.719 (42.582) Prec@5 63.281 (67.651) Epoch: [25][8760/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9273 (2.6631) Prec@1 42.969 (42.583) Prec@5 61.719 (67.651) Epoch: [25][8770/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7148 (2.6632) Prec@1 40.625 (42.581) Prec@5 65.625 (67.649) Epoch: [25][8780/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9591 (2.6632) Prec@1 38.281 (42.581) Prec@5 63.281 (67.648) Epoch: [25][8790/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3145 (2.6632) Prec@1 45.312 (42.582) Prec@5 76.562 (67.648) Epoch: [25][8800/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8898 (2.6633) Prec@1 41.406 (42.581) Prec@5 66.406 (67.647) Epoch: [25][8810/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6196 (2.6633) Prec@1 42.969 (42.581) Prec@5 68.750 (67.647) /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: [25][8820/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7241 (2.6633) Prec@1 42.188 (42.581) Prec@5 62.500 (67.646) Epoch: [25][8830/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6243 (2.6635) Prec@1 43.750 (42.578) Prec@5 71.094 (67.644) Epoch: [25][8840/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7451 (2.6636) Prec@1 42.188 (42.577) Prec@5 65.625 (67.642) Epoch: [25][8850/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7553 (2.6636) Prec@1 40.625 (42.575) Prec@5 67.969 (67.642) Epoch: [25][8860/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6587 (2.6636) Prec@1 42.969 (42.575) Prec@5 67.188 (67.640) Epoch: [25][8870/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4750 (2.6637) Prec@1 43.750 (42.575) Prec@5 71.094 (67.640) Epoch: [25][8880/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4187 (2.6637) Prec@1 43.750 (42.575) Prec@5 73.438 (67.641) Epoch: [25][8890/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6366 (2.6636) Prec@1 42.969 (42.576) Prec@5 67.188 (67.642) Epoch: [25][8900/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8408 (2.6637) Prec@1 39.062 (42.574) Prec@5 62.500 (67.643) Epoch: [25][8910/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4575 (2.6635) Prec@1 42.188 (42.577) Prec@5 67.188 (67.643) Epoch: [25][8920/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4529 (2.6635) Prec@1 51.562 (42.575) Prec@5 72.656 (67.643) Epoch: [25][8930/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7780 (2.6636) Prec@1 38.281 (42.574) Prec@5 60.156 (67.639) Epoch: [25][8940/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6916 (2.6637) Prec@1 42.969 (42.571) Prec@5 64.062 (67.638) Epoch: [25][8950/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5091 (2.6637) Prec@1 49.219 (42.572) Prec@5 70.312 (67.640) Epoch: [25][8960/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6817 (2.6637) Prec@1 42.188 (42.572) Prec@5 68.750 (67.642) Epoch: [25][8970/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4327 (2.6637) Prec@1 46.094 (42.572) Prec@5 68.750 (67.640) Epoch: [25][8980/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8420 (2.6638) Prec@1 44.531 (42.570) Prec@5 65.625 (67.640) Epoch: [25][8990/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.8322 (2.6638) Prec@1 42.969 (42.571) Prec@5 61.719 (67.639) Epoch: [25][9000/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3011 (2.6637) Prec@1 51.562 (42.571) Prec@5 74.219 (67.639) Epoch: [25][9010/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5590 (2.6637) Prec@1 42.188 (42.572) Prec@5 68.750 (67.641) Epoch: [25][9020/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.4405 (2.6637) Prec@1 42.188 (42.572) Prec@5 73.438 (67.641) Epoch: [25][9030/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.3779 (2.6637) Prec@1 51.562 (42.571) Prec@5 70.312 (67.638) Epoch: [25][9040/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4420 (2.6635) Prec@1 42.969 (42.572) Prec@5 71.094 (67.641) Epoch: [25][9050/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8149 (2.6635) Prec@1 47.656 (42.574) Prec@5 64.062 (67.643) Epoch: [25][9060/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6534 (2.6637) Prec@1 46.094 (42.572) Prec@5 69.531 (67.639) Epoch: [25][9070/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5740 (2.6637) Prec@1 46.875 (42.572) Prec@5 71.094 (67.638) Epoch: [25][9080/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8114 (2.6638) Prec@1 39.844 (42.571) Prec@5 69.531 (67.637) Epoch: [25][9090/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7046 (2.6639) Prec@1 42.188 (42.569) Prec@5 69.531 (67.637) Epoch: [25][9100/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5610 (2.6639) Prec@1 43.750 (42.568) Prec@5 68.750 (67.634) Epoch: [25][9110/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8328 (2.6641) Prec@1 35.938 (42.565) Prec@5 66.406 (67.633) Epoch: [25][9120/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6799 (2.6641) Prec@1 41.406 (42.565) Prec@5 66.406 (67.633) Epoch: [25][9130/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7759 (2.6642) Prec@1 45.312 (42.562) Prec@5 67.969 (67.631) Epoch: [25][9140/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7158 (2.6642) Prec@1 41.406 (42.562) Prec@5 68.750 (67.632) Epoch: [25][9150/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5089 (2.6642) Prec@1 48.438 (42.561) Prec@5 69.531 (67.631) Epoch: [25][9160/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4863 (2.6642) Prec@1 43.750 (42.562) Prec@5 71.875 (67.633) Epoch: [25][9170/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7454 (2.6641) Prec@1 42.969 (42.564) Prec@5 66.406 (67.634) Epoch: [25][9180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8830 (2.6642) Prec@1 37.500 (42.562) Prec@5 67.969 (67.634) Epoch: [25][9190/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8275 (2.6642) Prec@1 39.062 (42.562) Prec@5 61.719 (67.633) Epoch: [25][9200/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4898 (2.6641) Prec@1 45.312 (42.563) Prec@5 71.875 (67.634) Epoch: [25][9210/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3706 (2.6641) Prec@1 46.875 (42.563) Prec@5 75.000 (67.636) Epoch: [25][9220/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3777 (2.6641) Prec@1 44.531 (42.561) Prec@5 76.562 (67.635) Epoch: [25][9230/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5121 (2.6642) Prec@1 49.219 (42.563) Prec@5 67.188 (67.635) Epoch: [25][9240/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6979 (2.6641) Prec@1 43.750 (42.565) Prec@5 68.750 (67.635) Epoch: [25][9250/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 3.2001 (2.6643) Prec@1 35.156 (42.562) Prec@5 61.719 (67.634) Epoch: [25][9260/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6536 (2.6643) Prec@1 43.750 (42.561) Prec@5 69.531 (67.634) Epoch: [25][9270/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6185 (2.6643) Prec@1 43.750 (42.561) Prec@5 67.188 (67.634) Epoch: [25][9280/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4240 (2.6643) Prec@1 53.125 (42.561) Prec@5 70.312 (67.635) Epoch: [25][9290/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4534 (2.6643) Prec@1 45.312 (42.561) Prec@5 67.188 (67.635) Epoch: [25][9300/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4087 (2.6643) Prec@1 49.219 (42.561) Prec@5 73.438 (67.636) Epoch: [25][9310/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7509 (2.6642) Prec@1 44.531 (42.563) Prec@5 60.938 (67.637) Epoch: [25][9320/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7905 (2.6642) Prec@1 39.062 (42.562) Prec@5 64.844 (67.636) Epoch: [25][9330/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8793 (2.6642) Prec@1 32.812 (42.561) Prec@5 65.625 (67.638) Epoch: [25][9340/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0754 (2.6642) Prec@1 33.594 (42.561) Prec@5 57.031 (67.637) Epoch: [25][9350/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9716 (2.6642) Prec@1 34.375 (42.560) Prec@5 62.500 (67.638) Epoch: [25][9360/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7220 (2.6642) Prec@1 39.062 (42.561) Prec@5 65.625 (67.640) Epoch: [25][9370/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8679 (2.6642) Prec@1 39.844 (42.560) Prec@5 62.500 (67.639) Epoch: [25][9380/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.4614 (2.6641) Prec@1 49.219 (42.561) Prec@5 71.094 (67.641) Epoch: [25][9390/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7534 (2.6642) Prec@1 44.531 (42.560) Prec@5 65.625 (67.639) Epoch: [25][9400/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5983 (2.6643) Prec@1 43.750 (42.558) Prec@5 67.969 (67.638) Epoch: [25][9410/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5711 (2.6643) Prec@1 46.875 (42.558) Prec@5 70.312 (67.637) Epoch: [25][9420/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0681 (2.6643) Prec@1 35.938 (42.559) Prec@5 57.812 (67.637) Epoch: [25][9430/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.1476 (2.6644) Prec@1 37.500 (42.558) Prec@5 59.375 (67.637) Epoch: [25][9440/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7301 (2.6644) Prec@1 39.844 (42.559) Prec@5 67.188 (67.637) Epoch: [25][9450/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9544 (2.6645) Prec@1 37.500 (42.558) Prec@5 60.156 (67.635) Epoch: [25][9460/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9103 (2.6644) Prec@1 43.750 (42.560) Prec@5 63.281 (67.636) Epoch: [25][9470/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.3535 (2.6645) Prec@1 48.438 (42.558) Prec@5 71.875 (67.635) Epoch: [25][9480/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8875 (2.6646) Prec@1 36.719 (42.557) Prec@5 65.625 (67.635) Epoch: [25][9490/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5871 (2.6646) Prec@1 40.625 (42.556) Prec@5 71.875 (67.634) Epoch: [25][9500/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9673 (2.6647) Prec@1 39.062 (42.553) Prec@5 59.375 (67.632) Epoch: [25][9510/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7158 (2.6646) Prec@1 45.312 (42.554) Prec@5 65.625 (67.633) Epoch: [25][9520/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5861 (2.6646) Prec@1 42.969 (42.555) Prec@5 67.188 (67.633) Epoch: [25][9530/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.3503 (2.6646) Prec@1 52.344 (42.554) Prec@5 75.000 (67.633) Epoch: [25][9540/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.3046 (2.6645) Prec@1 45.312 (42.556) Prec@5 75.781 (67.635) Epoch: [25][9550/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.9851 (2.6646) Prec@1 35.938 (42.554) Prec@5 64.844 (67.634) Epoch: [25][9560/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7374 (2.6647) Prec@1 39.844 (42.550) Prec@5 66.406 (67.633) Epoch: [25][9570/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.3490 (2.6646) Prec@1 49.219 (42.550) Prec@5 74.219 (67.636) Epoch: [25][9580/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5641 (2.6646) Prec@1 48.438 (42.551) Prec@5 67.188 (67.636) Epoch: [25][9590/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7932 (2.6647) Prec@1 40.625 (42.550) Prec@5 69.531 (67.633) Epoch: [25][9600/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.0512 (2.6648) Prec@1 41.406 (42.549) Prec@5 58.594 (67.632) Epoch: [25][9610/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7174 (2.6648) Prec@1 40.625 (42.548) Prec@5 68.750 (67.630) Epoch: [25][9620/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7213 (2.6648) Prec@1 40.625 (42.549) Prec@5 62.500 (67.631) Epoch: [25][9630/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3526 (2.6648) Prec@1 44.531 (42.547) Prec@5 75.781 (67.630) Epoch: [25][9640/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.1818 (2.6648) Prec@1 39.844 (42.547) Prec@5 57.812 (67.630) Epoch: [25][9650/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5116 (2.6649) Prec@1 48.438 (42.547) Prec@5 70.312 (67.628) Epoch: [25][9660/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7905 (2.6650) Prec@1 40.625 (42.545) Prec@5 66.406 (67.625) Epoch: [25][9670/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6339 (2.6650) Prec@1 47.656 (42.545) Prec@5 66.406 (67.624) Epoch: [25][9680/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6589 (2.6651) Prec@1 42.188 (42.545) Prec@5 72.656 (67.623) Epoch: [25][9690/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7898 (2.6652) Prec@1 43.750 (42.544) Prec@5 64.062 (67.621) Epoch: [25][9700/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7274 (2.6651) Prec@1 41.406 (42.545) Prec@5 68.750 (67.622) Epoch: [25][9710/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5079 (2.6651) Prec@1 48.438 (42.546) Prec@5 70.312 (67.623) Epoch: [25][9720/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6968 (2.6651) Prec@1 39.062 (42.543) Prec@5 71.094 (67.621) Epoch: [25][9730/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6611 (2.6652) Prec@1 39.062 (42.542) Prec@5 67.188 (67.620) Epoch: [25][9740/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.8274 (2.6652) Prec@1 38.281 (42.541) Prec@5 68.750 (67.619) Epoch: [25][9750/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6780 (2.6651) Prec@1 42.188 (42.543) Prec@5 69.531 (67.619) Epoch: [25][9760/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7135 (2.6652) Prec@1 39.844 (42.542) Prec@5 64.062 (67.617) Epoch: [25][9770/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6001 (2.6652) Prec@1 42.188 (42.541) Prec@5 69.531 (67.618) Epoch: [25][9780/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.3779 (2.6652) Prec@1 46.094 (42.540) Prec@5 76.562 (67.620) Epoch: [25][9790/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8389 (2.6652) Prec@1 39.062 (42.540) Prec@5 60.938 (67.619) Epoch: [25][9800/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6643 (2.6652) Prec@1 42.969 (42.541) Prec@5 71.875 (67.620) Epoch: [25][9810/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5972 (2.6653) Prec@1 45.312 (42.540) Prec@5 67.969 (67.619) Epoch: [25][9820/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.5069 (2.6653) Prec@1 49.219 (42.541) Prec@5 70.312 (67.620) Epoch: [25][9830/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9017 (2.6653) Prec@1 36.719 (42.541) Prec@5 66.406 (67.621) Epoch: [25][9840/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9572 (2.6654) Prec@1 39.062 (42.538) Prec@5 67.188 (67.619) Epoch: [25][9850/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7123 (2.6653) Prec@1 39.844 (42.540) Prec@5 66.406 (67.620) Epoch: [25][9860/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8419 (2.6653) Prec@1 42.188 (42.541) Prec@5 66.406 (67.620) Epoch: [25][9870/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.9302 (2.6653) Prec@1 35.938 (42.539) Prec@5 61.719 (67.620) Epoch: [25][9880/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5665 (2.6653) Prec@1 44.531 (42.539) Prec@5 67.969 (67.621) Epoch: [25][9890/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8087 (2.6654) Prec@1 41.406 (42.539) Prec@5 67.969 (67.619) Epoch: [25][9900/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5038 (2.6654) Prec@1 46.094 (42.539) Prec@5 65.625 (67.619) Epoch: [25][9910/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7965 (2.6654) Prec@1 37.500 (42.538) Prec@5 67.188 (67.616) Epoch: [25][9920/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4917 (2.6654) Prec@1 45.312 (42.536) Prec@5 71.094 (67.616) Epoch: [25][9930/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8482 (2.6654) Prec@1 35.938 (42.537) Prec@5 57.812 (67.616) Epoch: [25][9940/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5614 (2.6654) Prec@1 44.531 (42.537) Prec@5 67.969 (67.615) Epoch: [25][9950/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3226 (2.6654) Prec@1 46.094 (42.539) Prec@5 73.438 (67.616) Epoch: [25][9960/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7887 (2.6654) Prec@1 32.031 (42.538) Prec@5 66.406 (67.616) Epoch: [25][9970/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8407 (2.6654) Prec@1 38.281 (42.536) Prec@5 66.406 (67.615) Epoch: [25][9980/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6309 (2.6654) Prec@1 41.406 (42.537) Prec@5 62.500 (67.615) Epoch: [25][9990/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7600 (2.6654) Prec@1 41.406 (42.537) Prec@5 67.969 (67.616) Epoch: [25][10000/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.3995 (2.6653) Prec@1 44.531 (42.539) Prec@5 75.000 (67.618) Test: [0/391] Time 1.435 (1.435) Loss 1.2886 (1.2886) Prec@1 73.438 (73.438) Prec@5 88.281 (88.281) Test: [10/391] Time 0.112 (0.235) Loss 2.1715 (1.4562) Prec@1 54.688 (64.915) Prec@5 76.562 (87.145) Test: [20/391] Time 0.103 (0.179) Loss 2.6675 (1.9998) Prec@1 42.188 (55.320) Prec@5 70.312 (78.571) Test: [30/391] Time 0.105 (0.156) Loss 2.8452 (2.1830) Prec@1 41.406 (51.033) Prec@5 67.969 (76.033) Test: [40/391] Time 0.107 (0.145) Loss 2.0072 (1.9811) Prec@1 56.250 (55.202) Prec@5 76.562 (78.754) Test: [50/391] Time 0.107 (0.138) Loss 1.1666 (2.0332) Prec@1 71.094 (54.596) Prec@5 90.625 (78.125) Test: [60/391] Time 0.168 (0.133) Loss 2.5229 (1.9575) Prec@1 37.500 (55.930) Prec@5 64.844 (79.150) Test: [70/391] Time 0.104 (0.129) Loss 2.1404 (2.0668) Prec@1 42.188 (52.993) Prec@5 79.688 (77.850) Test: [80/391] Time 0.105 (0.126) Loss 2.7765 (2.0902) Prec@1 32.031 (51.148) Prec@5 74.219 (77.961) Test: [90/391] Time 0.114 (0.125) Loss 2.1174 (2.1372) Prec@1 46.875 (49.957) Prec@5 81.250 (77.378) Test: [100/391] Time 0.104 (0.123) Loss 2.7574 (2.1325) Prec@1 31.250 (49.698) Prec@5 71.094 (77.522) Test: [110/391] Time 0.108 (0.122) Loss 2.4944 (2.1248) Prec@1 39.844 (49.620) Prec@5 75.781 (77.872) Test: [120/391] Time 0.109 (0.122) Loss 1.5741 (2.1015) Prec@1 59.375 (50.252) Prec@5 85.156 (78.228) Test: [130/391] Time 0.112 (0.121) Loss 1.6567 (2.0767) Prec@1 73.438 (51.002) Prec@5 81.250 (78.501) Test: [140/391] Time 0.104 (0.120) Loss 3.3380 (2.0835) Prec@1 20.312 (50.875) Prec@5 60.938 (78.380) Test: [150/391] Time 0.107 (0.119) Loss 1.6605 (2.0792) Prec@1 50.000 (50.817) Prec@5 86.719 (78.446) Test: [160/391] Time 0.102 (0.118) Loss 1.9769 (2.0924) Prec@1 51.562 (50.558) Prec@5 78.906 (78.305) Test: [170/391] Time 0.117 (0.118) Loss 2.4221 (2.1234) Prec@1 40.625 (50.064) Prec@5 71.875 (77.791) Test: [180/391] Time 0.102 (0.117) Loss 3.0530 (2.1541) Prec@1 40.625 (49.685) Prec@5 67.188 (77.331) Test: [190/391] Time 0.111 (0.117) Loss 3.5336 (2.2006) Prec@1 22.656 (48.908) Prec@5 59.375 (76.513) Test: [200/391] Time 0.103 (0.116) Loss 3.0802 (2.2316) Prec@1 34.375 (48.465) Prec@5 62.500 (76.046) Test: [210/391] Time 0.104 (0.116) Loss 2.3385 (2.2571) Prec@1 51.562 (48.086) Prec@5 73.438 (75.607) Test: [220/391] Time 0.104 (0.116) Loss 1.4172 (2.2603) Prec@1 68.750 (48.158) Prec@5 85.156 (75.460) Test: [230/391] Time 0.102 (0.115) Loss 3.6864 (2.2770) Prec@1 26.562 (47.940) Prec@5 50.000 (75.183) Test: [240/391] Time 0.109 (0.115) Loss 2.6328 (2.2886) Prec@1 46.094 (47.825) Prec@5 64.844 (74.932) Test: [250/391] Time 0.111 (0.115) Loss 2.1588 (2.3129) Prec@1 54.688 (47.429) Prec@5 72.656 (74.546) Test: [260/391] Time 0.109 (0.114) Loss 2.8662 (2.3272) Prec@1 46.875 (47.123) Prec@5 67.188 (74.267) Test: [270/391] Time 0.109 (0.114) Loss 3.4736 (2.3397) Prec@1 25.781 (47.010) Prec@5 56.250 (73.928) Test: [280/391] Time 0.101 (0.114) Loss 2.2549 (2.3473) Prec@1 41.406 (46.894) Prec@5 75.781 (73.821) Test: [290/391] Time 0.109 (0.114) Loss 2.7677 (2.3646) Prec@1 33.594 (46.674) Prec@5 70.312 (73.521) Test: [300/391] Time 0.106 (0.114) Loss 2.3341 (2.3820) Prec@1 56.250 (46.421) Prec@5 75.781 (73.217) Test: [310/391] Time 0.099 (0.113) Loss 3.0586 (2.3905) Prec@1 40.625 (46.300) Prec@5 67.188 (73.073) Test: [320/391] Time 0.104 (0.113) Loss 2.1258 (2.3926) Prec@1 53.906 (46.369) Prec@5 75.000 (72.999) Test: [330/391] Time 0.100 (0.113) Loss 3.5078 (2.4177) Prec@1 26.562 (45.964) Prec@5 59.375 (72.623) Test: [340/391] Time 0.103 (0.113) Loss 2.0198 (2.4276) Prec@1 42.188 (45.739) Prec@5 83.594 (72.471) Test: [350/391] Time 0.113 (0.113) Loss 2.1230 (2.4306) Prec@1 52.344 (45.784) Prec@5 78.125 (72.391) Test: [360/391] Time 0.102 (0.112) Loss 2.0357 (2.4363) Prec@1 48.438 (45.737) Prec@5 77.344 (72.310) Test: [370/391] Time 0.107 (0.112) Loss 1.9298 (2.4331) Prec@1 55.469 (45.793) Prec@5 81.250 (72.376) Test: [380/391] Time 0.102 (0.112) Loss 1.9877 (2.4379) Prec@1 46.094 (45.680) Prec@5 84.375 (72.371) Test: [390/391] Time 0.068 (0.112) Loss 3.4729 (2.4174) Prec@1 20.000 (46.080) Prec@5 57.500 (72.688) * Prec@1 46.080 Prec@5 72.688 Epoch: [26][0/10010] Time 2.805 (2.805) Data 2.628 (2.628) Loss 2.5899 (2.5899) Prec@1 45.312 (45.312) Prec@5 68.750 (68.750) Epoch: [26][10/10010] Time 0.324 (0.549) Data 0.001 (0.253) Loss 2.6064 (2.8140) Prec@1 42.969 (39.702) Prec@5 71.094 (65.625) Epoch: [26][20/10010] Time 0.320 (0.440) Data 0.000 (0.133) Loss 2.5556 (2.7573) Prec@1 43.750 (40.216) Prec@5 71.094 (66.667) Epoch: [26][30/10010] Time 0.325 (0.402) Data 0.001 (0.090) Loss 2.8233 (2.7191) Prec@1 39.062 (40.625) Prec@5 64.844 (67.490) Epoch: [26][40/10010] Time 0.318 (0.383) Data 0.001 (0.068) Loss 2.7567 (2.7087) Prec@1 37.500 (40.873) Prec@5 63.281 (67.397) Epoch: [26][50/10010] Time 0.323 (0.372) Data 0.001 (0.055) Loss 2.5115 (2.6884) Prec@1 46.094 (41.115) Prec@5 70.312 (67.586) Epoch: [26][60/10010] Time 0.316 (0.365) Data 0.001 (0.046) Loss 2.8587 (2.6778) Prec@1 40.625 (41.368) Prec@5 67.969 (67.943) Epoch: [26][70/10010] Time 0.332 (0.360) Data 0.000 (0.040) Loss 2.6947 (2.6702) Prec@1 50.000 (41.736) Prec@5 67.969 (67.958) Epoch: [26][80/10010] Time 0.331 (0.357) Data 0.001 (0.035) Loss 2.8256 (2.6743) Prec@1 42.188 (41.734) Prec@5 70.312 (67.921) Epoch: [26][90/10010] Time 0.345 (0.354) Data 0.000 (0.031) Loss 2.7751 (2.6691) Prec@1 40.625 (41.939) Prec@5 67.188 (67.969) Epoch: [26][100/10010] Time 0.322 (0.351) Data 0.001 (0.028) Loss 2.6421 (2.6713) Prec@1 42.188 (41.971) Prec@5 69.531 (67.984) Epoch: [26][110/10010] Time 0.325 (0.349) Data 0.001 (0.026) Loss 2.6634 (2.6648) Prec@1 40.625 (42.209) Prec@5 64.844 (68.004) Epoch: [26][120/10010] Time 0.320 (0.347) Data 0.001 (0.024) Loss 2.5410 (2.6676) Prec@1 46.094 (42.181) Prec@5 67.969 (67.885) Epoch: [26][130/10010] Time 0.327 (0.345) Data 0.000 (0.022) Loss 2.4272 (2.6539) Prec@1 45.312 (42.432) Prec@5 71.094 (68.034) Epoch: [26][140/10010] Time 0.332 (0.344) Data 0.001 (0.020) Loss 2.5103 (2.6544) Prec@1 44.531 (42.503) Prec@5 72.656 (68.068) Epoch: [26][150/10010] Time 0.328 (0.344) Data 0.000 (0.019) Loss 2.5587 (2.6428) Prec@1 40.625 (42.705) Prec@5 71.094 (68.217) Epoch: [26][160/10010] Time 0.327 (0.343) Data 0.000 (0.018) Loss 2.7213 (2.6434) Prec@1 39.844 (42.702) Prec@5 66.406 (68.158) Epoch: [26][170/10010] Time 0.319 (0.342) Data 0.000 (0.017) Loss 2.5563 (2.6409) Prec@1 42.188 (42.727) Prec@5 67.188 (68.243) Epoch: [26][180/10010] Time 0.320 (0.341) Data 0.001 (0.016) Loss 2.4757 (2.6401) Prec@1 49.219 (42.792) Prec@5 72.656 (68.241) Epoch: [26][190/10010] Time 0.339 (0.341) Data 0.001 (0.015) Loss 2.9712 (2.6381) Prec@1 40.625 (42.830) Prec@5 64.062 (68.284) Epoch: [26][200/10010] Time 0.344 (0.340) Data 0.000 (0.014) Loss 2.5366 (2.6346) Prec@1 41.406 (42.903) Prec@5 64.844 (68.330) Epoch: [26][210/10010] Time 0.318 (0.340) Data 0.000 (0.014) Loss 2.6434 (2.6335) Prec@1 43.750 (42.924) Prec@5 71.875 (68.380) Epoch: [26][220/10010] Time 0.340 (0.339) Data 0.001 (0.013) Loss 2.8205 (2.6343) Prec@1 38.281 (42.859) Prec@5 64.062 (68.326) Epoch: [26][230/10010] Time 0.319 (0.339) Data 0.000 (0.013) Loss 2.5388 (2.6245) Prec@1 42.188 (42.992) Prec@5 72.656 (68.527) Epoch: [26][240/10010] Time 0.325 (0.339) Data 0.000 (0.012) Loss 2.6383 (2.6270) Prec@1 41.406 (42.920) Prec@5 67.188 (68.500) Epoch: [26][250/10010] Time 0.321 (0.338) Data 0.001 (0.012) Loss 2.6055 (2.6261) Prec@1 42.188 (42.941) Prec@5 69.531 (68.476) Epoch: [26][260/10010] Time 0.327 (0.338) Data 0.000 (0.011) Loss 2.9829 (2.6243) Prec@1 34.375 (43.038) Prec@5 60.938 (68.469) Epoch: [26][270/10010] Time 0.340 (0.338) Data 0.000 (0.011) Loss 2.6897 (2.6207) Prec@1 42.969 (43.093) Prec@5 70.312 (68.508) Epoch: [26][280/10010] Time 0.323 (0.337) Data 0.000 (0.010) Loss 2.5191 (2.6233) Prec@1 44.531 (43.102) Prec@5 67.969 (68.478) Epoch: [26][290/10010] Time 0.327 (0.337) Data 0.000 (0.010) Loss 2.4119 (2.6217) Prec@1 48.438 (43.159) Prec@5 72.656 (68.503) Epoch: [26][300/10010] Time 0.327 (0.337) Data 0.001 (0.010) Loss 2.4470 (2.6211) Prec@1 48.438 (43.184) Prec@5 69.531 (68.475) Epoch: [26][310/10010] Time 0.320 (0.337) Data 0.001 (0.010) Loss 2.4527 (2.6245) Prec@1 47.656 (43.109) Prec@5 71.094 (68.449) Epoch: [26][320/10010] Time 0.337 (0.337) Data 0.000 (0.009) Loss 2.9824 (2.6246) Prec@1 32.812 (43.093) Prec@5 63.281 (68.468) Epoch: [26][330/10010] Time 0.331 (0.336) Data 0.001 (0.009) Loss 2.5576 (2.6250) Prec@1 41.406 (43.091) Prec@5 69.531 (68.434) Epoch: [26][340/10010] Time 0.339 (0.336) Data 0.001 (0.009) Loss 2.5195 (2.6196) Prec@1 40.625 (43.180) Prec@5 73.438 (68.558) Epoch: [26][350/10010] Time 0.326 (0.336) Data 0.001 (0.008) Loss 2.8309 (2.6221) Prec@1 38.281 (43.167) Prec@5 67.188 (68.521) Epoch: [26][360/10010] Time 0.341 (0.336) Data 0.001 (0.008) Loss 2.7596 (2.6247) Prec@1 40.625 (43.125) Prec@5 65.625 (68.482) Epoch: [26][370/10010] Time 0.321 (0.336) Data 0.001 (0.008) Loss 2.5690 (2.6274) Prec@1 35.938 (42.994) Prec@5 74.219 (68.445) Epoch: [26][380/10010] Time 0.325 (0.336) Data 0.001 (0.008) Loss 2.6169 (2.6297) Prec@1 40.625 (42.983) Prec@5 64.844 (68.403) /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: [26][390/10010] Time 0.326 (0.336) Data 0.001 (0.008) Loss 2.9907 (2.6332) Prec@1 33.594 (42.927) Prec@5 64.844 (68.380) Epoch: [26][400/10010] Time 0.329 (0.335) Data 0.000 (0.007) Loss 2.6505 (2.6329) Prec@1 36.719 (42.887) Prec@5 65.625 (68.378) Epoch: [26][410/10010] Time 0.349 (0.335) Data 0.001 (0.007) Loss 2.4696 (2.6334) Prec@1 42.969 (42.895) Prec@5 67.969 (68.330) Epoch: [26][420/10010] Time 0.343 (0.335) Data 0.000 (0.007) Loss 2.3759 (2.6318) Prec@1 51.562 (42.939) Prec@5 68.750 (68.332) Epoch: [26][430/10010] Time 0.337 (0.335) Data 0.000 (0.007) Loss 2.7601 (2.6335) Prec@1 44.531 (42.938) Prec@5 66.406 (68.320) Epoch: [26][440/10010] Time 0.334 (0.335) Data 0.000 (0.007) Loss 2.4649 (2.6316) Prec@1 46.094 (43.004) Prec@5 72.656 (68.343) Epoch: [26][450/10010] Time 0.349 (0.335) Data 0.000 (0.007) Loss 2.2559 (2.6306) Prec@1 48.438 (43.054) Prec@5 71.094 (68.359) Epoch: [26][460/10010] Time 0.320 (0.335) Data 0.001 (0.007) Loss 2.7805 (2.6322) Prec@1 39.844 (43.023) Prec@5 67.188 (68.350) Epoch: [26][470/10010] Time 0.324 (0.335) Data 0.000 (0.006) Loss 2.5302 (2.6299) Prec@1 39.844 (43.065) Prec@5 67.969 (68.368) Epoch: [26][480/10010] Time 0.333 (0.335) Data 0.000 (0.006) Loss 2.3939 (2.6306) Prec@1 50.000 (43.066) Prec@5 71.094 (68.380) Epoch: [26][490/10010] Time 0.335 (0.335) Data 0.001 (0.006) Loss 2.8104 (2.6319) Prec@1 41.406 (43.077) Prec@5 66.406 (68.362) Epoch: [26][500/10010] Time 0.331 (0.335) Data 0.000 (0.006) Loss 2.6767 (2.6298) Prec@1 50.000 (43.129) Prec@5 67.188 (68.374) Epoch: [26][510/10010] Time 0.318 (0.335) Data 0.001 (0.006) Loss 2.5783 (2.6301) Prec@1 42.969 (43.174) Prec@5 67.969 (68.359) Epoch: [26][520/10010] Time 0.328 (0.334) Data 0.001 (0.006) Loss 2.7309 (2.6294) Prec@1 43.750 (43.191) Prec@5 66.406 (68.363) Epoch: [26][530/10010] Time 0.320 (0.334) Data 0.000 (0.006) Loss 3.0770 (2.6302) Prec@1 36.719 (43.179) Prec@5 57.812 (68.347) Epoch: [26][540/10010] Time 0.328 (0.334) Data 0.000 (0.006) Loss 2.6115 (2.6295) Prec@1 43.750 (43.210) Prec@5 66.406 (68.351) Epoch: [26][550/10010] Time 0.347 (0.334) Data 0.001 (0.006) Loss 3.0406 (2.6320) Prec@1 42.188 (43.207) Prec@5 61.719 (68.312) Epoch: [26][560/10010] Time 0.335 (0.334) Data 0.000 (0.006) Loss 2.7632 (2.6333) Prec@1 39.844 (43.157) Prec@5 64.062 (68.311) Epoch: [26][570/10010] Time 0.335 (0.334) Data 0.000 (0.005) Loss 2.4719 (2.6345) Prec@1 40.625 (43.132) Prec@5 74.219 (68.289) Epoch: [26][580/10010] Time 0.325 (0.334) Data 0.001 (0.005) Loss 2.6917 (2.6336) Prec@1 41.406 (43.127) Prec@5 66.406 (68.309) Epoch: [26][590/10010] Time 0.344 (0.334) Data 0.000 (0.005) Loss 2.4497 (2.6331) Prec@1 46.875 (43.134) Prec@5 71.875 (68.303) Epoch: [26][600/10010] Time 0.334 (0.334) Data 0.001 (0.005) Loss 2.3585 (2.6335) Prec@1 49.219 (43.140) Prec@5 72.656 (68.296) Epoch: [26][610/10010] Time 0.329 (0.334) Data 0.001 (0.005) Loss 2.5449 (2.6346) Prec@1 42.969 (43.161) Prec@5 68.750 (68.305) Epoch: [26][620/10010] Time 0.329 (0.334) Data 0.001 (0.005) Loss 2.9225 (2.6366) Prec@1 44.531 (43.156) Prec@5 64.844 (68.262) Epoch: [26][630/10010] Time 0.326 (0.334) Data 0.001 (0.005) Loss 3.0356 (2.6380) Prec@1 35.938 (43.135) Prec@5 62.500 (68.246) Epoch: [26][640/10010] Time 0.318 (0.334) Data 0.000 (0.005) Loss 2.8170 (2.6367) Prec@1 37.500 (43.135) Prec@5 66.406 (68.278) Epoch: [26][650/10010] Time 0.326 (0.334) Data 0.000 (0.005) Loss 2.3484 (2.6360) Prec@1 42.969 (43.130) Prec@5 76.562 (68.284) Epoch: [26][660/10010] Time 0.343 (0.334) Data 0.001 (0.005) Loss 2.6158 (2.6368) Prec@1 42.969 (43.096) Prec@5 67.188 (68.273) Epoch: [26][670/10010] Time 0.337 (0.334) Data 0.001 (0.005) Loss 2.7474 (2.6374) Prec@1 39.844 (43.086) Prec@5 70.312 (68.242) Epoch: [26][680/10010] Time 0.337 (0.334) Data 0.001 (0.005) Loss 2.4892 (2.6391) Prec@1 46.875 (43.062) Prec@5 72.656 (68.226) Epoch: [26][690/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 2.7856 (2.6382) Prec@1 39.062 (43.052) Prec@5 66.406 (68.231) Epoch: [26][700/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 2.4555 (2.6394) Prec@1 44.531 (43.024) Prec@5 71.094 (68.197) Epoch: [26][710/10010] Time 0.344 (0.334) Data 0.000 (0.004) Loss 2.3280 (2.6381) Prec@1 49.219 (43.039) Prec@5 75.000 (68.210) Epoch: [26][720/10010] Time 0.331 (0.333) Data 0.000 (0.004) Loss 2.5226 (2.6382) Prec@1 45.312 (43.020) Prec@5 75.000 (68.211) Epoch: [26][730/10010] Time 0.339 (0.333) Data 0.001 (0.004) Loss 2.4885 (2.6383) Prec@1 48.438 (43.011) Prec@5 71.094 (68.209) Epoch: [26][740/10010] Time 0.342 (0.333) Data 0.000 (0.004) Loss 2.5566 (2.6397) Prec@1 44.531 (43.006) Prec@5 69.531 (68.179) Epoch: [26][750/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 2.6031 (2.6391) Prec@1 44.531 (43.015) Prec@5 72.656 (68.178) Epoch: [26][760/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 2.8840 (2.6408) Prec@1 36.719 (43.000) Prec@5 64.062 (68.141) Epoch: [26][770/10010] Time 0.330 (0.334) Data 0.001 (0.004) Loss 2.5939 (2.6417) Prec@1 42.969 (42.974) Prec@5 69.531 (68.127) Epoch: [26][780/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 3.0631 (2.6423) Prec@1 38.281 (42.973) Prec@5 63.281 (68.122) Epoch: [26][790/10010] Time 0.328 (0.333) Data 0.001 (0.004) Loss 2.6592 (2.6420) Prec@1 39.062 (42.983) Prec@5 68.750 (68.123) Epoch: [26][800/10010] Time 0.319 (0.333) Data 0.001 (0.004) Loss 2.5170 (2.6425) Prec@1 48.438 (42.985) Prec@5 64.844 (68.110) Epoch: [26][810/10010] Time 0.345 (0.333) Data 0.001 (0.004) Loss 2.7593 (2.6431) Prec@1 44.531 (42.974) Prec@5 67.969 (68.082) Epoch: [26][820/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 2.9076 (2.6424) Prec@1 43.750 (42.992) Prec@5 61.719 (68.100) Epoch: [26][830/10010] Time 0.341 (0.333) Data 0.001 (0.004) Loss 2.5812 (2.6426) Prec@1 46.094 (42.974) Prec@5 73.438 (68.103) Epoch: [26][840/10010] Time 0.318 (0.333) Data 0.001 (0.004) Loss 2.6832 (2.6432) Prec@1 46.094 (42.982) Prec@5 67.969 (68.103) Epoch: [26][850/10010] Time 0.334 (0.333) Data 0.000 (0.004) Loss 2.5942 (2.6433) Prec@1 38.281 (42.960) Prec@5 69.531 (68.109) Epoch: [26][860/10010] Time 0.335 (0.333) Data 0.001 (0.004) Loss 2.4544 (2.6435) Prec@1 44.531 (42.943) Prec@5 70.312 (68.094) Epoch: [26][870/10010] Time 0.328 (0.333) Data 0.001 (0.004) Loss 2.6937 (2.6430) Prec@1 43.750 (42.966) Prec@5 68.750 (68.105) Epoch: [26][880/10010] Time 0.329 (0.333) Data 0.000 (0.004) Loss 2.5960 (2.6433) Prec@1 43.750 (42.957) Prec@5 60.938 (68.097) Epoch: [26][890/10010] Time 0.332 (0.333) Data 0.000 (0.004) Loss 2.7375 (2.6437) Prec@1 39.844 (42.961) Prec@5 64.844 (68.096) Epoch: [26][900/10010] Time 0.326 (0.333) Data 0.001 (0.004) Loss 2.7342 (2.6446) Prec@1 35.156 (42.927) Prec@5 70.312 (68.077) Epoch: [26][910/10010] Time 0.329 (0.333) Data 0.001 (0.004) Loss 2.9423 (2.6449) Prec@1 38.281 (42.902) Prec@5 62.500 (68.055) Epoch: [26][920/10010] Time 0.334 (0.333) Data 0.001 (0.004) Loss 2.1645 (2.6444) Prec@1 51.562 (42.916) Prec@5 72.656 (68.054) Epoch: [26][930/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 2.6607 (2.6452) Prec@1 40.625 (42.900) Prec@5 64.062 (68.029) Epoch: [26][940/10010] Time 0.329 (0.333) Data 0.001 (0.004) Loss 2.6172 (2.6457) Prec@1 42.188 (42.894) Prec@5 65.625 (68.013) Epoch: [26][950/10010] Time 0.344 (0.333) Data 0.000 (0.003) Loss 2.7919 (2.6454) Prec@1 40.625 (42.898) Prec@5 64.844 (68.007) Epoch: [26][960/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.4435 (2.6441) Prec@1 42.969 (42.921) Prec@5 73.438 (68.022) Epoch: [26][970/10010] Time 0.315 (0.333) Data 0.001 (0.003) Loss 2.7426 (2.6453) Prec@1 45.312 (42.926) Prec@5 68.750 (68.019) Epoch: [26][980/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.7813 (2.6455) Prec@1 42.969 (42.937) Prec@5 64.844 (68.020) Epoch: [26][990/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 3.0725 (2.6458) Prec@1 34.375 (42.927) Prec@5 55.469 (68.022) Epoch: [26][1000/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.5381 (2.6445) Prec@1 44.531 (42.956) Prec@5 64.062 (68.040) Epoch: [26][1010/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.4501 (2.6428) Prec@1 46.875 (42.987) Prec@5 67.188 (68.072) Epoch: [26][1020/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 2.7821 (2.6422) Prec@1 43.750 (42.992) Prec@5 66.406 (68.099) Epoch: [26][1030/10010] Time 0.341 (0.332) Data 0.000 (0.004) Loss 2.5558 (2.6411) Prec@1 42.969 (43.010) Prec@5 75.000 (68.117) Epoch: [26][1040/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 2.6667 (2.6411) Prec@1 45.312 (43.028) Prec@5 61.719 (68.112) Epoch: [26][1050/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.3914 (2.6407) Prec@1 42.969 (43.023) Prec@5 70.312 (68.114) Epoch: [26][1060/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 2.7315 (2.6419) Prec@1 41.406 (42.995) Prec@5 71.875 (68.101) Epoch: [26][1070/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.5705 (2.6416) Prec@1 47.656 (42.997) Prec@5 67.188 (68.104) Epoch: [26][1080/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.6517 (2.6416) Prec@1 46.094 (42.990) Prec@5 71.094 (68.119) Epoch: [26][1090/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 2.5701 (2.6420) Prec@1 39.844 (42.979) Prec@5 72.656 (68.123) Epoch: [26][1100/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 2.9427 (2.6422) Prec@1 42.969 (42.980) Prec@5 69.531 (68.128) Epoch: [26][1110/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 2.6195 (2.6417) Prec@1 46.094 (43.005) Prec@5 70.312 (68.139) Epoch: [26][1120/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 2.7458 (2.6419) Prec@1 38.281 (42.990) Prec@5 65.625 (68.137) Epoch: [26][1130/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 2.4935 (2.6411) Prec@1 46.094 (42.990) Prec@5 69.531 (68.155) Epoch: [26][1140/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 2.5529 (2.6416) Prec@1 49.219 (42.995) Prec@5 69.531 (68.152) Epoch: [26][1150/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.5137 (2.6426) Prec@1 46.094 (42.988) Prec@5 68.750 (68.134) Epoch: [26][1160/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.6748 (2.6427) Prec@1 42.969 (42.980) Prec@5 65.625 (68.122) Epoch: [26][1170/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.7946 (2.6429) Prec@1 42.188 (42.984) Prec@5 67.188 (68.127) Epoch: [26][1180/10010] Time 0.317 (0.332) Data 0.000 (0.003) Loss 2.8261 (2.6442) Prec@1 36.719 (42.971) Prec@5 63.281 (68.110) Epoch: [26][1190/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 2.9247 (2.6440) Prec@1 39.062 (42.965) Prec@5 63.281 (68.116) Epoch: [26][1200/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.3788 (2.6444) Prec@1 48.438 (42.973) Prec@5 67.188 (68.101) Epoch: [26][1210/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 3.0265 (2.6452) Prec@1 36.719 (42.967) Prec@5 61.719 (68.079) Epoch: [26][1220/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.8301 (2.6455) Prec@1 42.188 (42.994) Prec@5 68.750 (68.074) Epoch: [26][1230/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 2.6205 (2.6454) Prec@1 42.188 (43.003) Prec@5 67.188 (68.078) Epoch: [26][1240/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 2.5071 (2.6458) Prec@1 39.844 (42.997) Prec@5 71.094 (68.069) Epoch: [26][1250/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.6826 (2.6457) Prec@1 42.969 (43.009) Prec@5 66.406 (68.060) Epoch: [26][1260/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 2.8317 (2.6455) Prec@1 39.062 (43.015) Prec@5 65.625 (68.048) Epoch: [26][1270/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.6302 (2.6449) Prec@1 41.406 (43.017) Prec@5 70.312 (68.059) Epoch: [26][1280/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.1534 (2.6435) Prec@1 48.438 (43.039) Prec@5 77.344 (68.092) Epoch: [26][1290/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 2.5984 (2.6438) Prec@1 39.844 (43.029) Prec@5 72.656 (68.096) Epoch: [26][1300/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 2.4064 (2.6437) Prec@1 43.750 (43.038) Prec@5 67.188 (68.102) Epoch: [26][1310/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.6140 (2.6444) Prec@1 43.750 (43.029) Prec@5 66.406 (68.077) Epoch: [26][1320/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 2.6820 (2.6446) Prec@1 43.750 (43.030) Prec@5 64.844 (68.066) Epoch: [26][1330/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.6411 (2.6444) Prec@1 42.969 (43.025) Prec@5 68.750 (68.067) Epoch: [26][1340/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 2.7255 (2.6457) Prec@1 39.062 (43.003) Prec@5 67.188 (68.044) Epoch: [26][1350/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.5658 (2.6456) Prec@1 46.094 (43.020) Prec@5 72.656 (68.040) Epoch: [26][1360/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.2273 (2.6454) Prec@1 48.438 (43.014) Prec@5 77.344 (68.046) Epoch: [26][1370/10010] Time 0.318 (0.332) Data 0.001 (0.003) Loss 2.4172 (2.6454) Prec@1 43.750 (43.017) Prec@5 71.875 (68.038) Epoch: [26][1380/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 2.4687 (2.6459) Prec@1 50.781 (43.011) Prec@5 67.188 (68.032) Epoch: [26][1390/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 2.9007 (2.6458) Prec@1 35.938 (43.012) Prec@5 64.844 (68.022) Epoch: [26][1400/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.9947 (2.6462) Prec@1 42.969 (43.004) Prec@5 63.281 (68.012) Epoch: [26][1410/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.7903 (2.6454) Prec@1 42.188 (43.008) Prec@5 66.406 (68.030) Epoch: [26][1420/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.4602 (2.6450) Prec@1 42.969 (43.018) Prec@5 70.312 (68.036) Epoch: [26][1430/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 2.8880 (2.6456) Prec@1 41.406 (43.010) Prec@5 59.375 (68.019) Epoch: [26][1440/10010] Time 0.324 (0.331) Data 0.000 (0.003) Loss 2.8700 (2.6462) Prec@1 33.594 (43.003) Prec@5 64.062 (68.012) Epoch: [26][1450/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 3.1439 (2.6465) Prec@1 29.688 (42.989) Prec@5 57.031 (68.006) Epoch: [26][1460/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 2.6996 (2.6470) Prec@1 43.750 (42.983) Prec@5 67.188 (67.993) Epoch: [26][1470/10010] Time 0.324 (0.331) Data 0.000 (0.003) Loss 2.8886 (2.6476) Prec@1 41.406 (42.968) Prec@5 59.375 (67.984) Epoch: [26][1480/10010] Time 0.338 (0.331) Data 0.000 (0.003) Loss 2.5655 (2.6484) Prec@1 37.500 (42.949) Prec@5 70.312 (67.972) Epoch: [26][1490/10010] Time 0.324 (0.331) Data 0.000 (0.003) Loss 2.5342 (2.6480) Prec@1 42.188 (42.953) Prec@5 67.188 (67.986) Epoch: [26][1500/10010] Time 0.327 (0.331) Data 0.001 (0.003) Loss 2.7090 (2.6473) Prec@1 35.938 (42.963) Prec@5 63.281 (67.991) Epoch: [26][1510/10010] Time 0.338 (0.331) Data 0.000 (0.003) Loss 2.4960 (2.6476) Prec@1 51.562 (42.969) Prec@5 71.094 (67.986) Epoch: [26][1520/10010] Time 0.348 (0.332) Data 0.000 (0.003) Loss 2.6709 (2.6479) Prec@1 39.844 (42.957) Prec@5 64.062 (67.975) Epoch: [26][1530/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.8322 (2.6479) Prec@1 35.938 (42.959) Prec@5 65.625 (67.973) Epoch: [26][1540/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 2.5022 (2.6477) Prec@1 50.000 (42.970) Prec@5 68.750 (67.970) Epoch: [26][1550/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 2.4514 (2.6468) Prec@1 39.844 (42.975) Prec@5 70.312 (67.986) Epoch: [26][1560/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.5763 (2.6463) Prec@1 42.969 (42.980) Prec@5 71.094 (67.996) Epoch: [26][1570/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.8100 (2.6464) Prec@1 37.500 (42.974) Prec@5 63.281 (67.996) Epoch: [26][1580/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 2.6643 (2.6460) Prec@1 41.406 (42.979) Prec@5 67.969 (68.005) Epoch: [26][1590/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.4519 (2.6461) Prec@1 44.531 (42.978) Prec@5 67.969 (68.005) Epoch: [26][1600/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.7100 (2.6471) Prec@1 44.531 (42.958) Prec@5 64.062 (67.985) Epoch: [26][1610/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.3975 (2.6467) Prec@1 39.844 (42.962) Prec@5 72.656 (67.991) Epoch: [26][1620/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.7515 (2.6468) Prec@1 43.750 (42.957) Prec@5 66.406 (67.992) Epoch: [26][1630/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.6545 (2.6469) Prec@1 44.531 (42.962) Prec@5 69.531 (67.991) Epoch: [26][1640/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.9768 (2.6470) Prec@1 32.812 (42.962) Prec@5 63.281 (67.987) Epoch: [26][1650/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.8964 (2.6470) Prec@1 39.062 (42.955) Prec@5 61.719 (67.985) Epoch: [26][1660/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.5490 (2.6467) Prec@1 45.312 (42.965) Prec@5 71.875 (67.998) Epoch: [26][1670/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.7088 (2.6469) Prec@1 47.656 (42.972) Prec@5 66.406 (67.989) Epoch: [26][1680/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.8574 (2.6473) Prec@1 37.500 (42.958) Prec@5 66.406 (67.982) Epoch: [26][1690/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5988 (2.6472) Prec@1 44.531 (42.954) Prec@5 67.188 (67.991) Epoch: [26][1700/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.0137 (2.6478) Prec@1 32.031 (42.947) Prec@5 65.625 (67.990) Epoch: [26][1710/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.9609 (2.6476) Prec@1 39.062 (42.952) Prec@5 66.406 (67.998) Epoch: [26][1720/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.7540 (2.6478) Prec@1 39.844 (42.942) Prec@5 67.969 (67.991) Epoch: [26][1730/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.5868 (2.6480) Prec@1 46.875 (42.943) Prec@5 67.969 (67.989) Epoch: [26][1740/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6772 (2.6488) Prec@1 39.062 (42.932) Prec@5 63.281 (67.979) Epoch: [26][1750/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.9276 (2.6488) Prec@1 35.156 (42.919) Prec@5 64.844 (67.983) Epoch: [26][1760/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.6554 (2.6488) Prec@1 37.500 (42.916) Prec@5 65.625 (67.980) Epoch: [26][1770/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.7513 (2.6489) Prec@1 40.625 (42.911) Prec@5 69.531 (67.985) Epoch: [26][1780/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.8399 (2.6488) Prec@1 36.719 (42.912) Prec@5 65.625 (67.985) Epoch: [26][1790/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.3252 (2.6482) Prec@1 50.000 (42.914) Prec@5 74.219 (67.999) Epoch: [26][1800/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.5297 (2.6485) Prec@1 41.406 (42.904) Prec@5 70.312 (67.989) Epoch: [26][1810/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.4564 (2.6486) Prec@1 43.750 (42.901) Prec@5 68.750 (67.987) Epoch: [26][1820/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.9374 (2.6486) Prec@1 36.719 (42.902) Prec@5 64.062 (67.988) Epoch: [26][1830/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.7364 (2.6490) Prec@1 42.188 (42.900) Prec@5 66.406 (67.981) Epoch: [26][1840/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.8281 (2.6488) Prec@1 35.938 (42.905) Prec@5 63.281 (67.988) Epoch: [26][1850/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6508 (2.6485) Prec@1 38.281 (42.896) Prec@5 67.969 (67.995) Epoch: [26][1860/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7147 (2.6487) Prec@1 39.844 (42.884) Prec@5 64.844 (67.999) Epoch: [26][1870/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.7129 (2.6489) Prec@1 44.531 (42.881) Prec@5 67.969 (67.994) Epoch: [26][1880/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.8419 (2.6497) Prec@1 35.156 (42.865) Prec@5 61.719 (67.970) Epoch: [26][1890/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.5249 (2.6495) Prec@1 45.312 (42.862) Prec@5 65.625 (67.968) Epoch: [26][1900/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 3.0287 (2.6492) Prec@1 35.156 (42.862) Prec@5 58.594 (67.972) Epoch: [26][1910/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.8492 (2.6493) Prec@1 39.844 (42.855) Prec@5 66.406 (67.971) Epoch: [26][1920/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.9050 (2.6490) Prec@1 35.156 (42.861) Prec@5 64.062 (67.983) Epoch: [26][1930/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5983 (2.6489) Prec@1 46.094 (42.860) Prec@5 67.969 (67.977) Epoch: [26][1940/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.2163 (2.6490) Prec@1 43.750 (42.865) Prec@5 77.344 (67.981) Epoch: [26][1950/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.8171 (2.6491) Prec@1 41.406 (42.872) Prec@5 61.719 (67.976) Epoch: [26][1960/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.9979 (2.6490) Prec@1 35.156 (42.864) Prec@5 62.500 (67.976) Epoch: [26][1970/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.1501 (2.6491) Prec@1 51.562 (42.864) Prec@5 77.344 (67.970) Epoch: [26][1980/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.4341 (2.6498) Prec@1 43.750 (42.851) Prec@5 71.875 (67.957) Epoch: [26][1990/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.2947 (2.6499) Prec@1 45.312 (42.845) Prec@5 75.000 (67.957) Epoch: [26][2000/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.9536 (2.6499) Prec@1 38.281 (42.834) Prec@5 60.156 (67.959) Epoch: [26][2010/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.4959 (2.6497) Prec@1 42.188 (42.829) Prec@5 72.656 (67.964) Epoch: [26][2020/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.6833 (2.6501) Prec@1 37.500 (42.825) Prec@5 66.406 (67.954) Epoch: [26][2030/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 2.8592 (2.6503) Prec@1 42.969 (42.826) Prec@5 65.625 (67.950) Epoch: [26][2040/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.9308 (2.6509) Prec@1 37.500 (42.814) Prec@5 63.281 (67.927) Epoch: [26][2050/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7253 (2.6511) Prec@1 41.406 (42.807) Prec@5 70.312 (67.920) Epoch: [26][2060/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.2865 (2.6514) Prec@1 50.000 (42.803) Prec@5 74.219 (67.918) Epoch: [26][2070/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.5500 (2.6516) Prec@1 42.969 (42.798) Prec@5 71.875 (67.910) Epoch: [26][2080/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.6297 (2.6516) Prec@1 41.406 (42.791) Prec@5 67.188 (67.906) Epoch: [26][2090/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.5576 (2.6520) Prec@1 40.625 (42.787) Prec@5 69.531 (67.898) Epoch: [26][2100/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6299 (2.6521) Prec@1 35.938 (42.779) Prec@5 67.188 (67.895) Epoch: [26][2110/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.8137 (2.6525) Prec@1 43.750 (42.767) Prec@5 65.625 (67.889) Epoch: [26][2120/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.7541 (2.6524) Prec@1 44.531 (42.774) Prec@5 68.750 (67.890) Epoch: [26][2130/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.9168 (2.6523) Prec@1 39.062 (42.774) Prec@5 62.500 (67.891) Epoch: [26][2140/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.5567 (2.6522) Prec@1 40.625 (42.769) Prec@5 71.875 (67.893) Epoch: [26][2150/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.7484 (2.6522) Prec@1 47.656 (42.769) Prec@5 67.969 (67.896) Epoch: [26][2160/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.3849 (2.6523) Prec@1 46.094 (42.776) Prec@5 74.219 (67.893) Epoch: [26][2170/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5746 (2.6524) Prec@1 42.188 (42.772) Prec@5 67.969 (67.887) Epoch: [26][2180/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.7437 (2.6531) Prec@1 46.875 (42.760) Prec@5 67.969 (67.879) Epoch: [26][2190/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.6740 (2.6535) Prec@1 44.531 (42.752) Prec@5 63.281 (67.869) Epoch: [26][2200/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.4201 (2.6531) Prec@1 46.875 (42.752) Prec@5 73.438 (67.881) Epoch: [26][2210/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.7457 (2.6531) Prec@1 40.625 (42.747) Prec@5 64.062 (67.884) Epoch: [26][2220/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.5977 (2.6530) Prec@1 47.656 (42.752) Prec@5 65.625 (67.890) Epoch: [26][2230/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.7729 (2.6532) Prec@1 38.281 (42.755) Prec@5 70.312 (67.890) Epoch: [26][2240/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.5987 (2.6532) Prec@1 45.312 (42.747) Prec@5 68.750 (67.890) Epoch: [26][2250/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 3.0984 (2.6540) Prec@1 36.719 (42.737) Prec@5 60.156 (67.873) Epoch: [26][2260/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.7593 (2.6540) Prec@1 38.281 (42.736) Prec@5 67.188 (67.869) Epoch: [26][2270/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.6676 (2.6539) Prec@1 46.094 (42.740) Prec@5 68.750 (67.863) Epoch: [26][2280/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.5064 (2.6539) Prec@1 42.969 (42.749) Prec@5 66.406 (67.858) Epoch: [26][2290/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.4565 (2.6542) Prec@1 44.531 (42.742) Prec@5 72.656 (67.854) Epoch: [26][2300/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.5755 (2.6538) Prec@1 45.312 (42.750) Prec@5 71.094 (67.860) Epoch: [26][2310/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.7029 (2.6535) Prec@1 40.625 (42.756) Prec@5 67.969 (67.864) Epoch: [26][2320/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6806 (2.6536) Prec@1 46.875 (42.753) Prec@5 64.062 (67.862) Epoch: [26][2330/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.3316 (2.6534) Prec@1 47.656 (42.757) Prec@5 74.219 (67.868) Epoch: [26][2340/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.4308 (2.6534) Prec@1 44.531 (42.763) Prec@5 73.438 (67.870) Epoch: [26][2350/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.5225 (2.6530) Prec@1 41.406 (42.774) Prec@5 67.969 (67.873) Epoch: [26][2360/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.7293 (2.6532) Prec@1 35.156 (42.764) Prec@5 65.625 (67.867) Epoch: [26][2370/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.4692 (2.6534) Prec@1 47.656 (42.759) Prec@5 67.188 (67.862) Epoch: [26][2380/10010] Time 0.314 (0.332) Data 0.000 (0.002) Loss 2.8157 (2.6536) Prec@1 40.625 (42.757) Prec@5 64.844 (67.857) Epoch: [26][2390/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.6306 (2.6536) Prec@1 43.750 (42.759) Prec@5 70.312 (67.858) Epoch: [26][2400/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.8657 (2.6538) Prec@1 39.062 (42.756) Prec@5 64.062 (67.852) Epoch: [26][2410/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.5456 (2.6540) Prec@1 42.969 (42.754) Prec@5 70.312 (67.853) Epoch: [26][2420/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.5879 (2.6539) Prec@1 43.750 (42.758) Prec@5 67.969 (67.852) Epoch: [26][2430/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6111 (2.6537) Prec@1 42.188 (42.754) Prec@5 71.094 (67.852) Epoch: [26][2440/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.8282 (2.6538) Prec@1 39.844 (42.753) Prec@5 67.188 (67.853) Epoch: [26][2450/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.9580 (2.6540) Prec@1 38.281 (42.745) Prec@5 60.156 (67.844) Epoch: [26][2460/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 3.1771 (2.6547) Prec@1 35.938 (42.730) Prec@5 56.250 (67.830) Epoch: [26][2470/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.8272 (2.6552) Prec@1 36.719 (42.722) Prec@5 61.719 (67.824) Epoch: [26][2480/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.4395 (2.6554) Prec@1 45.312 (42.718) Prec@5 67.969 (67.812) Epoch: [26][2490/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.4608 (2.6548) Prec@1 48.438 (42.731) Prec@5 73.438 (67.824) Epoch: [26][2500/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.5228 (2.6547) Prec@1 43.750 (42.731) Prec@5 67.969 (67.827) Epoch: [26][2510/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.6465 (2.6547) Prec@1 38.281 (42.726) Prec@5 67.188 (67.825) Epoch: [26][2520/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.5034 (2.6544) Prec@1 40.625 (42.734) Prec@5 71.875 (67.832) Epoch: [26][2530/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.3042 (2.6540) Prec@1 49.219 (42.738) Prec@5 71.875 (67.834) Epoch: [26][2540/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.7514 (2.6540) Prec@1 39.062 (42.739) Prec@5 66.406 (67.829) Epoch: [26][2550/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.7058 (2.6542) Prec@1 47.656 (42.744) Prec@5 67.969 (67.833) Epoch: [26][2560/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.3380 (2.6539) Prec@1 48.438 (42.745) Prec@5 68.750 (67.833) Epoch: [26][2570/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.5292 (2.6540) Prec@1 42.188 (42.743) Prec@5 69.531 (67.834) Epoch: [26][2580/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.3953 (2.6541) Prec@1 43.750 (42.736) Prec@5 72.656 (67.834) Epoch: [26][2590/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.5798 (2.6540) Prec@1 43.750 (42.737) Prec@5 67.969 (67.831) Epoch: [26][2600/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.6378 (2.6535) Prec@1 42.969 (42.735) Prec@5 60.938 (67.832) Epoch: [26][2610/10010] Time 0.352 (0.331) Data 0.000 (0.002) Loss 2.6501 (2.6533) Prec@1 39.062 (42.735) Prec@5 64.062 (67.838) Epoch: [26][2620/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.6006 (2.6531) Prec@1 43.750 (42.740) Prec@5 67.969 (67.845) Epoch: [26][2630/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.5268 (2.6531) Prec@1 46.875 (42.738) Prec@5 72.656 (67.843) Epoch: [26][2640/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.6509 (2.6530) Prec@1 48.438 (42.738) Prec@5 66.406 (67.838) Epoch: [26][2650/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.8596 (2.6529) Prec@1 34.375 (42.743) Prec@5 63.281 (67.841) Epoch: [26][2660/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.4686 (2.6525) Prec@1 44.531 (42.751) Prec@5 71.094 (67.844) Epoch: [26][2670/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 3.0158 (2.6526) Prec@1 40.625 (42.754) Prec@5 57.812 (67.839) Epoch: [26][2680/10010] Time 0.346 (0.331) Data 0.000 (0.002) Loss 2.8222 (2.6527) Prec@1 42.188 (42.758) Prec@5 67.188 (67.843) Epoch: [26][2690/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.5924 (2.6524) Prec@1 36.719 (42.761) Prec@5 67.188 (67.843) Epoch: [26][2700/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.9163 (2.6527) Prec@1 35.938 (42.756) Prec@5 64.844 (67.838) Epoch: [26][2710/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.4414 (2.6530) Prec@1 45.312 (42.756) Prec@5 67.188 (67.828) Epoch: [26][2720/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 2.6148 (2.6530) Prec@1 39.844 (42.757) Prec@5 71.094 (67.832) Epoch: [26][2730/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.8911 (2.6530) Prec@1 36.719 (42.760) Prec@5 62.500 (67.831) Epoch: [26][2740/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.4514 (2.6532) Prec@1 45.312 (42.761) Prec@5 71.094 (67.835) Epoch: [26][2750/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.6751 (2.6533) Prec@1 41.406 (42.758) Prec@5 72.656 (67.838) Epoch: [26][2760/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.8216 (2.6537) Prec@1 40.625 (42.750) Prec@5 62.500 (67.827) Epoch: [26][2770/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 2.6619 (2.6536) Prec@1 38.281 (42.754) Prec@5 68.750 (67.827) Epoch: [26][2780/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.6467 (2.6538) Prec@1 43.750 (42.756) Prec@5 68.750 (67.824) Epoch: [26][2790/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.5470 (2.6538) Prec@1 42.188 (42.753) Prec@5 75.000 (67.825) Epoch: [26][2800/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.6269 (2.6534) Prec@1 44.531 (42.758) Prec@5 71.094 (67.832) Epoch: [26][2810/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.7421 (2.6540) Prec@1 39.062 (42.751) Prec@5 70.312 (67.825) Epoch: [26][2820/10010] Time 0.349 (0.331) Data 0.000 (0.002) Loss 3.0701 (2.6542) Prec@1 40.625 (42.755) Prec@5 66.406 (67.818) Epoch: [26][2830/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.5465 (2.6543) Prec@1 47.656 (42.754) Prec@5 72.656 (67.816) Epoch: [26][2840/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.6674 (2.6545) Prec@1 40.625 (42.748) Prec@5 72.656 (67.815) Epoch: [26][2850/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.5842 (2.6550) Prec@1 44.531 (42.736) Prec@5 69.531 (67.808) Epoch: [26][2860/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.6671 (2.6546) Prec@1 38.281 (42.741) Prec@5 70.312 (67.811) Epoch: [26][2870/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.9424 (2.6545) Prec@1 39.844 (42.740) Prec@5 67.969 (67.816) Epoch: [26][2880/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.5856 (2.6544) Prec@1 46.094 (42.744) Prec@5 74.219 (67.814) Epoch: [26][2890/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.6587 (2.6542) Prec@1 44.531 (42.753) Prec@5 66.406 (67.815) Epoch: [26][2900/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 2.7615 (2.6541) Prec@1 45.312 (42.754) Prec@5 69.531 (67.817) Epoch: [26][2910/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.4921 (2.6541) Prec@1 39.062 (42.753) Prec@5 71.875 (67.818) Epoch: [26][2920/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.5459 (2.6538) Prec@1 43.750 (42.753) Prec@5 69.531 (67.820) Epoch: [26][2930/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.7351 (2.6538) Prec@1 40.625 (42.754) Prec@5 63.281 (67.819) Epoch: [26][2940/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.5284 (2.6540) Prec@1 48.438 (42.752) Prec@5 66.406 (67.817) Epoch: [26][2950/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.7565 (2.6543) Prec@1 37.500 (42.746) Prec@5 67.188 (67.808) Epoch: [26][2960/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 3.1508 (2.6544) Prec@1 32.812 (42.743) Prec@5 60.938 (67.806) Epoch: [26][2970/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.6569 (2.6543) Prec@1 42.969 (42.743) Prec@5 71.094 (67.808) Epoch: [26][2980/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.7429 (2.6544) Prec@1 40.625 (42.743) Prec@5 69.531 (67.810) Epoch: [26][2990/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.7108 (2.6541) Prec@1 41.406 (42.749) Prec@5 67.188 (67.812) Epoch: [26][3000/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.5988 (2.6539) Prec@1 45.312 (42.753) Prec@5 68.750 (67.814) Epoch: [26][3010/10010] Time 0.345 (0.331) Data 0.001 (0.002) Loss 3.0087 (2.6543) Prec@1 37.500 (42.747) Prec@5 63.281 (67.810) Epoch: [26][3020/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.6101 (2.6546) Prec@1 45.312 (42.743) Prec@5 67.188 (67.805) Epoch: [26][3030/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 2.6270 (2.6545) Prec@1 35.156 (42.740) Prec@5 69.531 (67.805) Epoch: [26][3040/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.5317 (2.6542) Prec@1 42.188 (42.748) Prec@5 69.531 (67.812) Epoch: [26][3050/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.4533 (2.6544) Prec@1 50.781 (42.748) Prec@5 71.094 (67.809) Epoch: [26][3060/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.4930 (2.6543) Prec@1 46.094 (42.753) Prec@5 70.312 (67.810) Epoch: [26][3070/10010] Time 0.347 (0.331) Data 0.001 (0.002) Loss 2.1728 (2.6538) Prec@1 48.438 (42.755) Prec@5 77.344 (67.817) Epoch: [26][3080/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.6804 (2.6539) Prec@1 42.188 (42.758) Prec@5 64.844 (67.818) Epoch: [26][3090/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.8170 (2.6540) Prec@1 40.625 (42.757) Prec@5 63.281 (67.810) Epoch: [26][3100/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 2.9641 (2.6540) Prec@1 38.281 (42.760) Prec@5 65.625 (67.816) Epoch: [26][3110/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.7223 (2.6541) Prec@1 43.750 (42.760) Prec@5 64.844 (67.812) Epoch: [26][3120/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.8949 (2.6541) Prec@1 39.062 (42.759) Prec@5 61.719 (67.813) Epoch: [26][3130/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.9851 (2.6543) Prec@1 33.594 (42.752) Prec@5 60.156 (67.811) Epoch: [26][3140/10010] Time 0.318 (0.331) Data 0.004 (0.002) Loss 2.8450 (2.6543) Prec@1 39.844 (42.751) Prec@5 64.062 (67.813) Epoch: [26][3150/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 2.5625 (2.6544) Prec@1 40.625 (42.754) Prec@5 71.094 (67.813) Epoch: [26][3160/10010] Time 0.347 (0.331) Data 0.001 (0.002) Loss 2.7003 (2.6544) Prec@1 43.750 (42.751) Prec@5 64.844 (67.815) Epoch: [26][3170/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.8741 (2.6549) Prec@1 41.406 (42.742) Prec@5 70.312 (67.810) Epoch: [26][3180/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 2.7924 (2.6550) Prec@1 40.625 (42.739) Prec@5 66.406 (67.814) Epoch: [26][3190/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.7117 (2.6546) Prec@1 42.969 (42.741) Prec@5 67.188 (67.823) Epoch: [26][3200/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.7320 (2.6546) Prec@1 36.719 (42.743) Prec@5 66.406 (67.825) Epoch: [26][3210/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.8711 (2.6547) Prec@1 37.500 (42.739) Prec@5 64.062 (67.824) Epoch: [26][3220/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.4851 (2.6545) Prec@1 40.625 (42.739) Prec@5 68.750 (67.826) Epoch: [26][3230/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.7274 (2.6545) Prec@1 42.188 (42.737) Prec@5 68.750 (67.829) Epoch: [26][3240/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.6220 (2.6546) Prec@1 41.406 (42.737) Prec@5 74.219 (67.830) Epoch: [26][3250/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.5536 (2.6547) Prec@1 42.188 (42.734) Prec@5 71.875 (67.827) Epoch: [26][3260/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.5888 (2.6548) Prec@1 47.656 (42.731) Prec@5 70.312 (67.824) Epoch: [26][3270/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.4450 (2.6545) Prec@1 38.281 (42.734) Prec@5 72.656 (67.833) Epoch: [26][3280/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.3213 (2.6543) Prec@1 46.875 (42.733) Prec@5 72.656 (67.836) Epoch: [26][3290/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.6172 (2.6541) Prec@1 44.531 (42.739) Prec@5 72.656 (67.840) Epoch: [26][3300/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.3918 (2.6541) Prec@1 48.438 (42.738) Prec@5 74.219 (67.840) Epoch: [26][3310/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.3218 (2.6537) Prec@1 46.094 (42.742) Prec@5 71.094 (67.847) Epoch: [26][3320/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.5021 (2.6535) Prec@1 49.219 (42.746) Prec@5 69.531 (67.850) Epoch: [26][3330/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.8075 (2.6534) Prec@1 39.062 (42.747) Prec@5 64.844 (67.851) Epoch: [26][3340/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 3.1328 (2.6538) Prec@1 38.281 (42.743) Prec@5 62.500 (67.847) Epoch: [26][3350/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.4715 (2.6538) Prec@1 48.438 (42.737) Prec@5 67.188 (67.844) Epoch: [26][3360/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.7156 (2.6537) Prec@1 42.188 (42.740) Prec@5 65.625 (67.846) Epoch: [26][3370/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.4369 (2.6539) Prec@1 38.281 (42.734) Prec@5 71.094 (67.841) Epoch: [26][3380/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.4819 (2.6538) Prec@1 41.406 (42.732) Prec@5 71.094 (67.842) Epoch: [26][3390/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.9188 (2.6539) Prec@1 39.062 (42.732) Prec@5 62.500 (67.838) Epoch: [26][3400/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.6510 (2.6539) Prec@1 45.312 (42.731) Prec@5 67.188 (67.839) Epoch: [26][3410/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.6772 (2.6540) Prec@1 44.531 (42.729) Prec@5 65.625 (67.834) Epoch: [26][3420/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7602 (2.6540) Prec@1 39.062 (42.728) Prec@5 66.406 (67.836) Epoch: [26][3430/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 3.0561 (2.6542) Prec@1 37.500 (42.724) Prec@5 64.844 (67.833) Epoch: [26][3440/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.7106 (2.6542) Prec@1 41.406 (42.726) Prec@5 67.188 (67.833) Epoch: [26][3450/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7163 (2.6542) Prec@1 41.406 (42.721) Prec@5 65.625 (67.832) Epoch: [26][3460/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4792 (2.6542) Prec@1 42.969 (42.723) Prec@5 71.094 (67.830) Epoch: [26][3470/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.5132 (2.6541) Prec@1 42.188 (42.720) Prec@5 69.531 (67.832) Epoch: [26][3480/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.8206 (2.6538) Prec@1 35.938 (42.731) Prec@5 59.375 (67.835) Epoch: [26][3490/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.7810 (2.6540) Prec@1 39.062 (42.728) Prec@5 64.062 (67.831) Epoch: [26][3500/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.5520 (2.6541) Prec@1 42.188 (42.724) Prec@5 70.312 (67.830) Epoch: [26][3510/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.5016 (2.6540) Prec@1 42.188 (42.722) Prec@5 71.875 (67.834) /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: [26][3520/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5303 (2.6540) Prec@1 47.656 (42.719) Prec@5 69.531 (67.834) Epoch: [26][3530/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.2106 (2.6540) Prec@1 32.031 (42.721) Prec@5 59.375 (67.833) Epoch: [26][3540/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 3.0099 (2.6544) Prec@1 41.406 (42.720) Prec@5 60.156 (67.828) Epoch: [26][3550/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.4551 (2.6542) Prec@1 41.406 (42.723) Prec@5 71.875 (67.831) Epoch: [26][3560/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 3.2829 (2.6547) Prec@1 36.719 (42.715) Prec@5 54.688 (67.820) Epoch: [26][3570/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.3184 (2.6546) Prec@1 46.875 (42.715) Prec@5 73.438 (67.820) Epoch: [26][3580/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.9132 (2.6546) Prec@1 39.062 (42.712) Prec@5 63.281 (67.819) Epoch: [26][3590/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.5783 (2.6546) Prec@1 44.531 (42.712) Prec@5 74.219 (67.819) Epoch: [26][3600/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.9311 (2.6550) Prec@1 39.062 (42.704) Prec@5 64.844 (67.811) Epoch: [26][3610/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6730 (2.6551) Prec@1 42.969 (42.706) Prec@5 66.406 (67.808) Epoch: [26][3620/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.9015 (2.6548) Prec@1 35.156 (42.706) Prec@5 65.625 (67.813) Epoch: [26][3630/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.4145 (2.6547) Prec@1 53.906 (42.708) Prec@5 74.219 (67.817) Epoch: [26][3640/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.9028 (2.6547) Prec@1 42.969 (42.715) Prec@5 64.062 (67.817) Epoch: [26][3650/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.6881 (2.6546) Prec@1 39.062 (42.714) Prec@5 67.969 (67.821) Epoch: [26][3660/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7577 (2.6546) Prec@1 45.312 (42.714) Prec@5 66.406 (67.823) Epoch: [26][3670/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.8480 (2.6546) Prec@1 43.750 (42.719) Prec@5 63.281 (67.822) Epoch: [26][3680/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.4134 (2.6544) Prec@1 45.312 (42.723) Prec@5 72.656 (67.825) Epoch: [26][3690/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.5512 (2.6541) Prec@1 43.750 (42.730) Prec@5 67.969 (67.830) Epoch: [26][3700/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6430 (2.6541) Prec@1 44.531 (42.727) Prec@5 71.094 (67.836) Epoch: [26][3710/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5118 (2.6541) Prec@1 42.969 (42.724) Prec@5 71.094 (67.837) Epoch: [26][3720/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5333 (2.6541) Prec@1 43.750 (42.725) Prec@5 73.438 (67.838) Epoch: [26][3730/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.9177 (2.6539) Prec@1 37.500 (42.724) Prec@5 63.281 (67.843) Epoch: [26][3740/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.6928 (2.6540) Prec@1 46.094 (42.725) Prec@5 67.188 (67.839) Epoch: [26][3750/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9576 (2.6542) Prec@1 38.281 (42.720) Prec@5 64.062 (67.835) Epoch: [26][3760/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7976 (2.6542) Prec@1 39.062 (42.720) Prec@5 66.406 (67.837) Epoch: [26][3770/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8040 (2.6542) Prec@1 36.719 (42.715) Prec@5 64.062 (67.836) Epoch: [26][3780/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5783 (2.6542) Prec@1 43.750 (42.713) Prec@5 71.875 (67.830) Epoch: [26][3790/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9950 (2.6544) Prec@1 39.062 (42.712) Prec@5 60.938 (67.829) Epoch: [26][3800/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4696 (2.6541) Prec@1 45.312 (42.710) Prec@5 71.875 (67.831) Epoch: [26][3810/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.9247 (2.6540) Prec@1 39.844 (42.711) Prec@5 64.844 (67.836) Epoch: [26][3820/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0170 (2.6542) Prec@1 39.844 (42.709) Prec@5 60.938 (67.831) Epoch: [26][3830/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.6593 (2.6545) Prec@1 41.406 (42.702) Prec@5 63.281 (67.829) Epoch: [26][3840/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5585 (2.6545) Prec@1 41.406 (42.701) Prec@5 70.312 (67.831) Epoch: [26][3850/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7500 (2.6543) Prec@1 42.969 (42.702) Prec@5 70.312 (67.837) Epoch: [26][3860/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4062 (2.6540) Prec@1 47.656 (42.704) Prec@5 71.875 (67.844) Epoch: [26][3870/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7197 (2.6544) Prec@1 37.500 (42.695) Prec@5 67.969 (67.837) Epoch: [26][3880/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6567 (2.6545) Prec@1 39.062 (42.694) Prec@5 71.875 (67.834) Epoch: [26][3890/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5661 (2.6544) Prec@1 44.531 (42.697) Prec@5 71.094 (67.837) Epoch: [26][3900/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7714 (2.6546) Prec@1 35.938 (42.693) Prec@5 64.844 (67.834) Epoch: [26][3910/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5331 (2.6545) Prec@1 42.969 (42.693) Prec@5 70.312 (67.836) Epoch: [26][3920/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4368 (2.6541) Prec@1 48.438 (42.700) Prec@5 71.875 (67.842) Epoch: [26][3930/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4623 (2.6541) Prec@1 44.531 (42.705) Prec@5 69.531 (67.841) Epoch: [26][3940/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4828 (2.6542) Prec@1 45.312 (42.699) Prec@5 67.188 (67.842) Epoch: [26][3950/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5948 (2.6541) Prec@1 42.969 (42.700) Prec@5 64.062 (67.843) Epoch: [26][3960/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7073 (2.6542) Prec@1 39.062 (42.696) Prec@5 65.625 (67.843) Epoch: [26][3970/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8460 (2.6543) Prec@1 42.969 (42.702) Prec@5 60.938 (67.841) Epoch: [26][3980/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7332 (2.6544) Prec@1 42.188 (42.698) Prec@5 64.844 (67.837) Epoch: [26][3990/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9012 (2.6545) Prec@1 35.938 (42.695) Prec@5 62.500 (67.833) Epoch: [26][4000/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6600 (2.6545) Prec@1 42.969 (42.695) Prec@5 66.406 (67.832) Epoch: [26][4010/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9445 (2.6548) Prec@1 42.188 (42.691) Prec@5 59.375 (67.828) Epoch: [26][4020/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5480 (2.6550) Prec@1 42.188 (42.692) Prec@5 69.531 (67.822) Epoch: [26][4030/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.8986 (2.6550) Prec@1 36.719 (42.692) Prec@5 62.500 (67.822) Epoch: [26][4040/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0009 (2.6551) Prec@1 35.156 (42.690) Prec@5 61.719 (67.822) Epoch: [26][4050/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3719 (2.6551) Prec@1 53.125 (42.691) Prec@5 73.438 (67.820) Epoch: [26][4060/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9918 (2.6553) Prec@1 39.844 (42.689) Prec@5 58.594 (67.816) Epoch: [26][4070/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5837 (2.6554) Prec@1 49.219 (42.688) Prec@5 67.969 (67.815) Epoch: [26][4080/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6471 (2.6555) Prec@1 40.625 (42.683) Prec@5 70.312 (67.814) Epoch: [26][4090/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5302 (2.6557) Prec@1 43.750 (42.680) Prec@5 69.531 (67.810) Epoch: [26][4100/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7981 (2.6558) Prec@1 42.969 (42.682) Prec@5 64.844 (67.809) /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: [26][4110/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8092 (2.6558) Prec@1 35.156 (42.678) Prec@5 64.062 (67.806) Epoch: [26][4120/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.6533 (2.6556) Prec@1 44.531 (42.683) Prec@5 64.844 (67.811) Epoch: [26][4130/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6822 (2.6555) Prec@1 45.312 (42.681) Prec@5 64.844 (67.809) Epoch: [26][4140/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5458 (2.6554) Prec@1 42.969 (42.682) Prec@5 64.062 (67.811) Epoch: [26][4150/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3827 (2.6555) Prec@1 42.969 (42.682) Prec@5 75.781 (67.814) Epoch: [26][4160/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4133 (2.6556) Prec@1 45.312 (42.680) Prec@5 75.000 (67.811) Epoch: [26][4170/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.2733 (2.6553) Prec@1 49.219 (42.686) Prec@5 74.219 (67.815) Epoch: [26][4180/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4742 (2.6551) Prec@1 40.625 (42.688) Prec@5 71.094 (67.819) Epoch: [26][4190/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7592 (2.6551) Prec@1 41.406 (42.689) Prec@5 71.094 (67.822) Epoch: [26][4200/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9506 (2.6551) Prec@1 41.406 (42.691) Prec@5 64.062 (67.822) /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: [26][4210/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5627 (2.6550) Prec@1 41.406 (42.693) Prec@5 68.750 (67.826) Epoch: [26][4220/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5742 (2.6549) Prec@1 39.844 (42.695) Prec@5 67.969 (67.829) Epoch: [26][4230/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.6162 (2.6549) Prec@1 45.312 (42.695) Prec@5 66.406 (67.828) Epoch: [26][4240/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6916 (2.6550) Prec@1 39.844 (42.694) Prec@5 63.281 (67.824) Epoch: [26][4250/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7011 (2.6551) Prec@1 39.062 (42.691) Prec@5 66.406 (67.825) Epoch: [26][4260/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5617 (2.6552) Prec@1 44.531 (42.688) Prec@5 70.312 (67.824) Epoch: [26][4270/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9175 (2.6554) Prec@1 41.406 (42.687) Prec@5 63.281 (67.820) Epoch: [26][4280/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7181 (2.6555) Prec@1 37.500 (42.682) Prec@5 66.406 (67.820) Epoch: [26][4290/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7136 (2.6557) Prec@1 36.719 (42.680) Prec@5 66.406 (67.818) Epoch: [26][4300/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.1255 (2.6558) Prec@1 39.844 (42.682) Prec@5 60.156 (67.817) Epoch: [26][4310/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4624 (2.6556) Prec@1 44.531 (42.686) Prec@5 71.094 (67.819) Epoch: [26][4320/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0195 (2.6554) Prec@1 33.594 (42.691) Prec@5 61.719 (67.821) Epoch: [26][4330/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5832 (2.6555) Prec@1 38.281 (42.687) Prec@5 71.875 (67.823) Epoch: [26][4340/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7064 (2.6555) Prec@1 41.406 (42.689) Prec@5 64.844 (67.822) Epoch: [26][4350/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7910 (2.6556) Prec@1 42.188 (42.685) Prec@5 58.594 (67.819) Epoch: [26][4360/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7269 (2.6556) Prec@1 38.281 (42.684) Prec@5 64.844 (67.817) Epoch: [26][4370/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8149 (2.6555) Prec@1 45.312 (42.689) Prec@5 58.594 (67.814) Epoch: [26][4380/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9657 (2.6553) Prec@1 30.469 (42.688) Prec@5 64.062 (67.821) Epoch: [26][4390/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8843 (2.6556) Prec@1 37.500 (42.682) Prec@5 67.969 (67.815) Epoch: [26][4400/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5034 (2.6553) Prec@1 41.406 (42.685) Prec@5 72.656 (67.819) Epoch: [26][4410/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8875 (2.6555) Prec@1 40.625 (42.688) Prec@5 65.625 (67.816) Epoch: [26][4420/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3951 (2.6554) Prec@1 48.438 (42.688) Prec@5 73.438 (67.818) Epoch: [26][4430/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5693 (2.6552) Prec@1 44.531 (42.692) Prec@5 67.969 (67.821) Epoch: [26][4440/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5750 (2.6550) Prec@1 42.969 (42.692) Prec@5 71.875 (67.827) Epoch: [26][4450/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5490 (2.6550) Prec@1 41.406 (42.689) Prec@5 71.875 (67.830) Epoch: [26][4460/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.7144 (2.6549) Prec@1 42.188 (42.693) Prec@5 67.969 (67.832) Epoch: [26][4470/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8634 (2.6551) Prec@1 39.844 (42.691) Prec@5 61.719 (67.829) Epoch: [26][4480/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9168 (2.6550) Prec@1 39.844 (42.693) Prec@5 62.500 (67.829) Epoch: [26][4490/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7720 (2.6550) Prec@1 38.281 (42.694) Prec@5 64.844 (67.829) Epoch: [26][4500/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7306 (2.6550) Prec@1 47.656 (42.697) Prec@5 64.844 (67.828) Epoch: [26][4510/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7060 (2.6549) Prec@1 36.719 (42.699) Prec@5 68.750 (67.829) Epoch: [26][4520/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7920 (2.6548) Prec@1 46.875 (42.701) Prec@5 65.625 (67.832) Epoch: [26][4530/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3394 (2.6550) Prec@1 47.656 (42.698) Prec@5 71.094 (67.830) Epoch: [26][4540/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5559 (2.6549) Prec@1 40.625 (42.700) Prec@5 69.531 (67.831) Epoch: [26][4550/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8894 (2.6549) Prec@1 37.500 (42.698) Prec@5 64.844 (67.831) Epoch: [26][4560/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7762 (2.6551) Prec@1 41.406 (42.694) Prec@5 66.406 (67.826) Epoch: [26][4570/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5698 (2.6551) Prec@1 40.625 (42.694) Prec@5 67.969 (67.826) Epoch: [26][4580/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4279 (2.6551) Prec@1 46.875 (42.691) Prec@5 73.438 (67.827) Epoch: [26][4590/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3257 (2.6549) Prec@1 50.000 (42.695) Prec@5 75.781 (67.832) Epoch: [26][4600/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5833 (2.6548) Prec@1 46.875 (42.695) Prec@5 69.531 (67.835) Epoch: [26][4610/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4082 (2.6545) Prec@1 44.531 (42.697) Prec@5 67.969 (67.840) Epoch: [26][4620/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4580 (2.6545) Prec@1 44.531 (42.697) Prec@5 71.094 (67.839) Epoch: [26][4630/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4831 (2.6546) Prec@1 42.188 (42.694) Prec@5 72.656 (67.836) Epoch: [26][4640/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6530 (2.6544) Prec@1 42.188 (42.694) Prec@5 68.750 (67.839) Epoch: [26][4650/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6319 (2.6545) Prec@1 42.188 (42.692) Prec@5 64.062 (67.837) Epoch: [26][4660/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8489 (2.6547) Prec@1 37.500 (42.691) Prec@5 66.406 (67.835) Epoch: [26][4670/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6182 (2.6548) Prec@1 40.625 (42.685) Prec@5 67.188 (67.831) Epoch: [26][4680/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9670 (2.6550) Prec@1 39.062 (42.681) Prec@5 67.188 (67.828) Epoch: [26][4690/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.8131 (2.6550) Prec@1 39.062 (42.682) Prec@5 63.281 (67.827) Epoch: [26][4700/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5420 (2.6551) Prec@1 36.719 (42.681) Prec@5 70.312 (67.825) Epoch: [26][4710/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8096 (2.6553) Prec@1 38.281 (42.677) Prec@5 66.406 (67.823) Epoch: [26][4720/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.7352 (2.6553) Prec@1 43.750 (42.675) Prec@5 64.062 (67.820) Epoch: [26][4730/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7295 (2.6552) Prec@1 49.219 (42.679) Prec@5 67.188 (67.822) Epoch: [26][4740/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.3732 (2.6553) Prec@1 46.875 (42.677) Prec@5 71.875 (67.819) Epoch: [26][4750/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4691 (2.6551) Prec@1 40.625 (42.681) Prec@5 73.438 (67.824) Epoch: [26][4760/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6763 (2.6549) Prec@1 42.188 (42.682) Prec@5 61.719 (67.822) Epoch: [26][4770/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8163 (2.6550) Prec@1 39.062 (42.682) Prec@5 64.062 (67.819) Epoch: [26][4780/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7979 (2.6552) Prec@1 37.500 (42.676) Prec@5 67.188 (67.820) Epoch: [26][4790/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0811 (2.6554) Prec@1 38.281 (42.672) Prec@5 61.719 (67.815) Epoch: [26][4800/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5951 (2.6553) Prec@1 40.625 (42.672) Prec@5 69.531 (67.815) Epoch: [26][4810/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6304 (2.6552) Prec@1 44.531 (42.676) Prec@5 66.406 (67.819) Epoch: [26][4820/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7953 (2.6550) Prec@1 42.188 (42.681) Prec@5 67.188 (67.822) Epoch: [26][4830/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8229 (2.6551) Prec@1 38.281 (42.679) Prec@5 64.062 (67.821) Epoch: [26][4840/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6621 (2.6552) Prec@1 43.750 (42.680) Prec@5 63.281 (67.818) Epoch: [26][4850/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9829 (2.6553) Prec@1 36.719 (42.682) Prec@5 60.938 (67.815) Epoch: [26][4860/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3952 (2.6553) Prec@1 50.000 (42.684) Prec@5 71.875 (67.814) Epoch: [26][4870/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8589 (2.6552) Prec@1 39.062 (42.687) Prec@5 61.719 (67.818) Epoch: [26][4880/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7613 (2.6548) Prec@1 41.406 (42.693) Prec@5 64.844 (67.824) Epoch: [26][4890/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8135 (2.6548) Prec@1 41.406 (42.693) Prec@5 66.406 (67.825) Epoch: [26][4900/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8017 (2.6548) Prec@1 46.094 (42.695) Prec@5 64.844 (67.823) Epoch: [26][4910/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8591 (2.6548) Prec@1 37.500 (42.691) Prec@5 65.625 (67.821) Epoch: [26][4920/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7101 (2.6550) Prec@1 46.094 (42.692) Prec@5 64.844 (67.819) Epoch: [26][4930/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8921 (2.6550) Prec@1 39.062 (42.691) Prec@5 63.281 (67.817) Epoch: [26][4940/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4982 (2.6551) Prec@1 46.875 (42.690) Prec@5 67.969 (67.814) Epoch: [26][4950/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5753 (2.6551) Prec@1 45.312 (42.689) Prec@5 64.844 (67.810) Epoch: [26][4960/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8877 (2.6552) Prec@1 42.188 (42.684) Prec@5 64.062 (67.810) Epoch: [26][4970/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.3278 (2.6553) Prec@1 42.969 (42.687) Prec@5 73.438 (67.811) Epoch: [26][4980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5127 (2.6552) Prec@1 46.094 (42.686) Prec@5 68.750 (67.811) Epoch: [26][4990/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6140 (2.6553) Prec@1 44.531 (42.682) Prec@5 68.750 (67.808) Epoch: [26][5000/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3909 (2.6551) Prec@1 42.969 (42.685) Prec@5 71.875 (67.813) Epoch: [26][5010/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6266 (2.6551) Prec@1 38.281 (42.684) Prec@5 64.062 (67.812) Epoch: [26][5020/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6463 (2.6550) Prec@1 42.188 (42.686) Prec@5 67.969 (67.814) Epoch: [26][5030/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.9710 (2.6551) Prec@1 38.281 (42.686) Prec@5 57.812 (67.814) Epoch: [26][5040/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5738 (2.6552) Prec@1 46.094 (42.682) Prec@5 67.969 (67.811) Epoch: [26][5050/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7195 (2.6554) Prec@1 39.844 (42.680) Prec@5 66.406 (67.810) Epoch: [26][5060/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0302 (2.6554) Prec@1 35.156 (42.678) Prec@5 61.719 (67.805) Epoch: [26][5070/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6882 (2.6553) Prec@1 41.406 (42.680) Prec@5 69.531 (67.806) Epoch: [26][5080/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.8578 (2.6554) Prec@1 33.594 (42.678) Prec@5 61.719 (67.804) Epoch: [26][5090/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4411 (2.6552) Prec@1 48.438 (42.682) Prec@5 67.969 (67.805) Epoch: [26][5100/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5604 (2.6551) Prec@1 42.188 (42.682) Prec@5 70.312 (67.806) Epoch: [26][5110/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7517 (2.6552) Prec@1 41.406 (42.682) Prec@5 68.750 (67.804) Epoch: [26][5120/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4957 (2.6550) Prec@1 49.219 (42.686) Prec@5 69.531 (67.803) Epoch: [26][5130/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5987 (2.6551) Prec@1 45.312 (42.687) Prec@5 70.312 (67.805) Epoch: [26][5140/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4918 (2.6550) Prec@1 43.750 (42.690) Prec@5 67.188 (67.804) Epoch: [26][5150/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6420 (2.6551) Prec@1 41.406 (42.687) Prec@5 69.531 (67.803) Epoch: [26][5160/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7436 (2.6551) Prec@1 38.281 (42.687) Prec@5 66.406 (67.804) Epoch: [26][5170/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4583 (2.6550) Prec@1 48.438 (42.691) Prec@5 75.781 (67.808) Epoch: [26][5180/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6307 (2.6550) Prec@1 42.969 (42.690) Prec@5 67.969 (67.806) Epoch: [26][5190/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.7466 (2.6549) Prec@1 38.281 (42.692) Prec@5 64.062 (67.808) Epoch: [26][5200/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9527 (2.6549) Prec@1 42.969 (42.693) Prec@5 59.375 (67.805) Epoch: [26][5210/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6505 (2.6549) Prec@1 43.750 (42.693) Prec@5 66.406 (67.806) Epoch: [26][5220/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4959 (2.6548) Prec@1 46.875 (42.696) Prec@5 71.875 (67.808) Epoch: [26][5230/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3060 (2.6548) Prec@1 50.781 (42.696) Prec@5 71.094 (67.807) Epoch: [26][5240/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7575 (2.6548) Prec@1 32.031 (42.693) Prec@5 64.844 (67.807) Epoch: [26][5250/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6043 (2.6548) Prec@1 44.531 (42.696) Prec@5 72.656 (67.808) Epoch: [26][5260/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4147 (2.6547) Prec@1 48.438 (42.697) Prec@5 72.656 (67.807) Epoch: [26][5270/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5945 (2.6546) Prec@1 42.188 (42.701) Prec@5 70.312 (67.810) Epoch: [26][5280/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7159 (2.6546) Prec@1 42.188 (42.700) Prec@5 64.062 (67.812) Epoch: [26][5290/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6439 (2.6544) Prec@1 40.625 (42.702) Prec@5 61.719 (67.812) Epoch: [26][5300/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6637 (2.6542) Prec@1 51.562 (42.706) Prec@5 67.188 (67.815) Epoch: [26][5310/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7812 (2.6543) Prec@1 39.844 (42.709) Prec@5 62.500 (67.811) Epoch: [26][5320/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7010 (2.6545) Prec@1 40.625 (42.707) Prec@5 66.406 (67.807) Epoch: [26][5330/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7477 (2.6545) Prec@1 36.719 (42.703) Prec@5 66.406 (67.807) Epoch: [26][5340/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6646 (2.6546) Prec@1 39.844 (42.702) Prec@5 64.844 (67.803) Epoch: [26][5350/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6678 (2.6547) Prec@1 43.750 (42.702) Prec@5 71.094 (67.803) Epoch: [26][5360/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4989 (2.6548) Prec@1 43.750 (42.699) Prec@5 72.656 (67.802) Epoch: [26][5370/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6789 (2.6548) Prec@1 39.062 (42.697) Prec@5 68.750 (67.805) Epoch: [26][5380/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4997 (2.6548) Prec@1 46.875 (42.696) Prec@5 67.188 (67.806) Epoch: [26][5390/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5703 (2.6548) Prec@1 49.219 (42.698) Prec@5 69.531 (67.806) Epoch: [26][5400/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3784 (2.6548) Prec@1 42.969 (42.698) Prec@5 75.000 (67.806) Epoch: [26][5410/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8575 (2.6549) Prec@1 39.062 (42.698) Prec@5 67.969 (67.804) Epoch: [26][5420/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7805 (2.6549) Prec@1 33.594 (42.696) Prec@5 68.750 (67.802) Epoch: [26][5430/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4219 (2.6547) Prec@1 46.875 (42.700) Prec@5 69.531 (67.804) Epoch: [26][5440/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5472 (2.6548) Prec@1 42.188 (42.698) Prec@5 70.312 (67.801) Epoch: [26][5450/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6605 (2.6549) Prec@1 46.094 (42.696) Prec@5 65.625 (67.796) Epoch: [26][5460/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8411 (2.6548) Prec@1 39.062 (42.697) Prec@5 59.375 (67.795) Epoch: [26][5470/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8809 (2.6548) Prec@1 39.062 (42.696) Prec@5 64.844 (67.795) Epoch: [26][5480/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5746 (2.6547) Prec@1 44.531 (42.698) Prec@5 71.094 (67.797) Epoch: [26][5490/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4785 (2.6545) Prec@1 46.875 (42.699) Prec@5 70.312 (67.800) Epoch: [26][5500/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6302 (2.6544) Prec@1 37.500 (42.699) Prec@5 66.406 (67.799) Epoch: [26][5510/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3009 (2.6545) Prec@1 46.094 (42.697) Prec@5 74.219 (67.798) Epoch: [26][5520/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8520 (2.6544) Prec@1 39.062 (42.699) Prec@5 69.531 (67.801) Epoch: [26][5530/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7274 (2.6546) Prec@1 43.750 (42.696) Prec@5 67.969 (67.800) Epoch: [26][5540/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6414 (2.6546) Prec@1 42.188 (42.695) Prec@5 65.625 (67.798) Epoch: [26][5550/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7580 (2.6547) Prec@1 42.969 (42.697) Prec@5 65.625 (67.795) Epoch: [26][5560/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6721 (2.6548) Prec@1 43.750 (42.693) Prec@5 64.844 (67.793) Epoch: [26][5570/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5420 (2.6547) Prec@1 44.531 (42.692) Prec@5 74.219 (67.793) Epoch: [26][5580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8978 (2.6549) Prec@1 42.188 (42.691) Prec@5 64.844 (67.788) Epoch: [26][5590/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9005 (2.6550) Prec@1 33.594 (42.689) Prec@5 62.500 (67.787) Epoch: [26][5600/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.3477 (2.6550) Prec@1 51.562 (42.692) Prec@5 70.312 (67.785) Epoch: [26][5610/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.3290 (2.6549) Prec@1 46.875 (42.691) Prec@5 75.000 (67.789) Epoch: [26][5620/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6958 (2.6551) Prec@1 40.625 (42.688) Prec@5 64.062 (67.783) Epoch: [26][5630/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.9392 (2.6551) Prec@1 34.375 (42.686) Prec@5 60.938 (67.783) Epoch: [26][5640/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9720 (2.6554) Prec@1 37.500 (42.682) Prec@5 60.156 (67.779) Epoch: [26][5650/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9266 (2.6554) Prec@1 39.062 (42.683) Prec@5 65.625 (67.779) Epoch: [26][5660/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7849 (2.6555) Prec@1 40.625 (42.681) Prec@5 65.625 (67.777) Epoch: [26][5670/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7439 (2.6557) Prec@1 38.281 (42.680) Prec@5 61.719 (67.774) Epoch: [26][5680/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7114 (2.6556) Prec@1 43.750 (42.685) Prec@5 66.406 (67.776) Epoch: [26][5690/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8531 (2.6556) Prec@1 44.531 (42.685) Prec@5 60.938 (67.774) Epoch: [26][5700/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4721 (2.6554) Prec@1 42.969 (42.688) Prec@5 69.531 (67.778) Epoch: [26][5710/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6428 (2.6555) Prec@1 47.656 (42.688) Prec@5 71.094 (67.776) Epoch: [26][5720/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.2757 (2.6556) Prec@1 46.875 (42.686) Prec@5 76.562 (67.777) Epoch: [26][5730/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8737 (2.6556) Prec@1 42.188 (42.685) Prec@5 66.406 (67.775) Epoch: [26][5740/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8201 (2.6554) Prec@1 40.625 (42.689) Prec@5 68.750 (67.779) Epoch: [26][5750/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9663 (2.6555) Prec@1 41.406 (42.691) Prec@5 62.500 (67.778) Epoch: [26][5760/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5227 (2.6555) Prec@1 47.656 (42.690) Prec@5 64.844 (67.776) Epoch: [26][5770/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.8871 (2.6556) Prec@1 36.719 (42.689) Prec@5 66.406 (67.775) Epoch: [26][5780/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6959 (2.6557) Prec@1 46.094 (42.690) Prec@5 65.625 (67.774) Epoch: [26][5790/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4618 (2.6558) Prec@1 46.875 (42.687) Prec@5 72.656 (67.773) Epoch: [26][5800/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7727 (2.6559) Prec@1 40.625 (42.687) Prec@5 64.062 (67.771) Epoch: [26][5810/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1680 (2.6557) Prec@1 50.000 (42.687) Prec@5 75.781 (67.775) Epoch: [26][5820/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6826 (2.6556) Prec@1 43.750 (42.691) Prec@5 68.750 (67.775) Epoch: [26][5830/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7380 (2.6554) Prec@1 39.844 (42.692) Prec@5 67.188 (67.776) Epoch: [26][5840/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6083 (2.6553) Prec@1 44.531 (42.695) Prec@5 69.531 (67.778) Epoch: [26][5850/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4684 (2.6554) Prec@1 46.094 (42.696) Prec@5 68.750 (67.776) Epoch: [26][5860/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4069 (2.6555) Prec@1 45.312 (42.694) Prec@5 70.312 (67.775) Epoch: [26][5870/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6531 (2.6557) Prec@1 39.844 (42.692) Prec@5 67.969 (67.770) Epoch: [26][5880/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8586 (2.6557) Prec@1 38.281 (42.692) Prec@5 59.375 (67.769) Epoch: [26][5890/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6300 (2.6559) Prec@1 46.875 (42.690) Prec@5 69.531 (67.767) Epoch: [26][5900/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.8940 (2.6560) Prec@1 39.062 (42.689) Prec@5 66.406 (67.766) Epoch: [26][5910/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.9764 (2.6561) Prec@1 35.156 (42.686) Prec@5 59.375 (67.763) Epoch: [26][5920/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.0677 (2.6560) Prec@1 38.281 (42.688) Prec@5 64.844 (67.765) Epoch: [26][5930/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5817 (2.6560) Prec@1 37.500 (42.687) Prec@5 70.312 (67.766) Epoch: [26][5940/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.3772 (2.6558) Prec@1 43.750 (42.687) Prec@5 72.656 (67.768) Epoch: [26][5950/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6527 (2.6557) Prec@1 41.406 (42.691) Prec@5 67.969 (67.772) Epoch: [26][5960/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6114 (2.6558) Prec@1 35.156 (42.688) Prec@5 67.188 (67.774) Epoch: [26][5970/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4775 (2.6557) Prec@1 45.312 (42.690) Prec@5 71.094 (67.774) Epoch: [26][5980/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 3.0109 (2.6559) Prec@1 35.938 (42.686) Prec@5 56.250 (67.768) Epoch: [26][5990/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4967 (2.6559) Prec@1 37.500 (42.687) Prec@5 70.312 (67.769) Epoch: [26][6000/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.5516 (2.6559) Prec@1 43.750 (42.688) Prec@5 71.094 (67.767) Epoch: [26][6010/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5628 (2.6559) Prec@1 45.312 (42.687) Prec@5 69.531 (67.767) Epoch: [26][6020/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9645 (2.6560) Prec@1 36.719 (42.680) Prec@5 66.406 (67.768) Epoch: [26][6030/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.9652 (2.6561) Prec@1 40.625 (42.678) Prec@5 62.500 (67.768) Epoch: [26][6040/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7431 (2.6562) Prec@1 45.312 (42.677) Prec@5 68.750 (67.767) Epoch: [26][6050/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.2848 (2.6563) Prec@1 46.875 (42.676) Prec@5 70.312 (67.767) Epoch: [26][6060/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8745 (2.6562) Prec@1 43.750 (42.678) Prec@5 63.281 (67.769) Epoch: [26][6070/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6434 (2.6562) Prec@1 42.969 (42.678) Prec@5 64.844 (67.769) Epoch: [26][6080/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 3.0950 (2.6562) Prec@1 39.844 (42.677) Prec@5 59.375 (67.767) Epoch: [26][6090/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7298 (2.6563) Prec@1 38.281 (42.674) Prec@5 66.406 (67.767) Epoch: [26][6100/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8545 (2.6564) Prec@1 39.062 (42.670) Prec@5 62.500 (67.764) Epoch: [26][6110/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4553 (2.6563) Prec@1 47.656 (42.672) Prec@5 71.094 (67.768) Epoch: [26][6120/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8252 (2.6564) Prec@1 41.406 (42.671) Prec@5 65.625 (67.768) Epoch: [26][6130/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4562 (2.6563) Prec@1 46.875 (42.673) Prec@5 71.875 (67.768) Epoch: [26][6140/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.1727 (2.6561) Prec@1 50.000 (42.677) Prec@5 76.562 (67.772) Epoch: [26][6150/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.2617 (2.6558) Prec@1 49.219 (42.681) Prec@5 75.000 (67.775) Epoch: [26][6160/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5871 (2.6561) Prec@1 43.750 (42.676) Prec@5 71.094 (67.772) Epoch: [26][6170/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6736 (2.6562) Prec@1 40.625 (42.674) Prec@5 70.312 (67.770) Epoch: [26][6180/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4378 (2.6560) Prec@1 46.094 (42.679) Prec@5 69.531 (67.773) Epoch: [26][6190/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6422 (2.6560) Prec@1 42.188 (42.678) Prec@5 66.406 (67.773) Epoch: [26][6200/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.3820 (2.6558) Prec@1 45.312 (42.680) Prec@5 71.875 (67.776) Epoch: [26][6210/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8854 (2.6557) Prec@1 41.406 (42.679) Prec@5 66.406 (67.776) Epoch: [26][6220/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9346 (2.6558) Prec@1 41.406 (42.679) Prec@5 60.938 (67.773) Epoch: [26][6230/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7196 (2.6560) Prec@1 39.844 (42.674) Prec@5 66.406 (67.770) Epoch: [26][6240/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5660 (2.6558) Prec@1 39.062 (42.676) Prec@5 71.094 (67.773) Epoch: [26][6250/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6546 (2.6555) Prec@1 42.969 (42.679) Prec@5 63.281 (67.777) Epoch: [26][6260/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.9098 (2.6556) Prec@1 41.406 (42.678) Prec@5 62.500 (67.777) Epoch: [26][6270/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8883 (2.6555) Prec@1 38.281 (42.680) Prec@5 60.938 (67.779) Epoch: [26][6280/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.0752 (2.6556) Prec@1 30.469 (42.678) Prec@5 61.719 (67.778) Epoch: [26][6290/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6668 (2.6557) Prec@1 43.750 (42.677) Prec@5 67.969 (67.779) Epoch: [26][6300/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5748 (2.6556) Prec@1 46.094 (42.675) Prec@5 71.094 (67.781) Epoch: [26][6310/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3214 (2.6554) Prec@1 42.188 (42.680) Prec@5 75.000 (67.783) Epoch: [26][6320/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4691 (2.6556) Prec@1 41.406 (42.679) Prec@5 72.656 (67.782) Epoch: [26][6330/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8031 (2.6556) Prec@1 35.938 (42.677) Prec@5 64.062 (67.780) Epoch: [26][6340/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 3.1015 (2.6556) Prec@1 36.719 (42.677) Prec@5 57.812 (67.782) Epoch: [26][6350/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6063 (2.6557) Prec@1 45.312 (42.676) Prec@5 71.094 (67.783) Epoch: [26][6360/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5801 (2.6557) Prec@1 37.500 (42.673) Prec@5 67.188 (67.782) Epoch: [26][6370/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6477 (2.6557) Prec@1 42.969 (42.674) Prec@5 66.406 (67.781) Epoch: [26][6380/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6497 (2.6557) Prec@1 47.656 (42.676) Prec@5 72.656 (67.782) Epoch: [26][6390/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7688 (2.6558) Prec@1 38.281 (42.674) Prec@5 62.500 (67.780) Epoch: [26][6400/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.4352 (2.6559) Prec@1 42.188 (42.669) Prec@5 71.094 (67.778) Epoch: [26][6410/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.8694 (2.6560) Prec@1 34.375 (42.668) Prec@5 65.625 (67.774) Epoch: [26][6420/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2981 (2.6560) Prec@1 45.312 (42.669) Prec@5 75.781 (67.776) Epoch: [26][6430/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5909 (2.6561) Prec@1 49.219 (42.669) Prec@5 69.531 (67.775) Epoch: [26][6440/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7463 (2.6560) Prec@1 41.406 (42.672) Prec@5 68.750 (67.777) Epoch: [26][6450/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 2.7816 (2.6561) Prec@1 38.281 (42.670) Prec@5 62.500 (67.775) Epoch: [26][6460/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.9109 (2.6560) Prec@1 39.844 (42.672) Prec@5 66.406 (67.778) Epoch: [26][6470/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7492 (2.6558) Prec@1 40.625 (42.674) Prec@5 65.625 (67.781) Epoch: [26][6480/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5032 (2.6560) Prec@1 46.875 (42.672) Prec@5 73.438 (67.779) /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: [26][6490/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.2504 (2.6561) Prec@1 53.125 (42.671) Prec@5 75.781 (67.781) Epoch: [26][6500/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9169 (2.6560) Prec@1 42.188 (42.673) Prec@5 64.062 (67.781) Epoch: [26][6510/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8454 (2.6562) Prec@1 40.625 (42.669) Prec@5 64.062 (67.781) Epoch: [26][6520/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7362 (2.6563) Prec@1 45.312 (42.669) Prec@5 70.312 (67.780) Epoch: [26][6530/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.4796 (2.6564) Prec@1 40.625 (42.667) Prec@5 69.531 (67.777) Epoch: [26][6540/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8667 (2.6566) Prec@1 36.719 (42.665) Prec@5 64.062 (67.774) Epoch: [26][6550/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.0859 (2.6566) Prec@1 37.500 (42.666) Prec@5 59.375 (67.777) Epoch: [26][6560/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4526 (2.6566) Prec@1 53.125 (42.667) Prec@5 70.312 (67.776) Epoch: [26][6570/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8156 (2.6568) Prec@1 39.844 (42.665) Prec@5 64.844 (67.774) Epoch: [26][6580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8273 (2.6567) Prec@1 35.156 (42.665) Prec@5 65.625 (67.774) Epoch: [26][6590/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7034 (2.6568) Prec@1 40.625 (42.665) Prec@5 67.188 (67.776) Epoch: [26][6600/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.2365 (2.6568) Prec@1 33.594 (42.663) Prec@5 61.719 (67.776) Epoch: [26][6610/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6788 (2.6569) Prec@1 46.094 (42.662) Prec@5 67.969 (67.774) Epoch: [26][6620/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5860 (2.6569) Prec@1 42.188 (42.660) Prec@5 66.406 (67.774) Epoch: [26][6630/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6584 (2.6570) Prec@1 42.969 (42.658) Prec@5 60.938 (67.772) Epoch: [26][6640/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5172 (2.6568) Prec@1 46.094 (42.661) Prec@5 68.750 (67.774) Epoch: [26][6650/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6646 (2.6567) Prec@1 38.281 (42.662) Prec@5 66.406 (67.776) Epoch: [26][6660/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.5226 (2.6566) Prec@1 43.750 (42.662) Prec@5 71.094 (67.777) Epoch: [26][6670/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6828 (2.6568) Prec@1 40.625 (42.660) Prec@5 71.875 (67.774) Epoch: [26][6680/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5591 (2.6567) Prec@1 42.188 (42.660) Prec@5 70.312 (67.775) Epoch: [26][6690/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6549 (2.6567) Prec@1 42.969 (42.661) Prec@5 63.281 (67.774) Epoch: [26][6700/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9009 (2.6568) Prec@1 30.469 (42.658) Prec@5 61.719 (67.772) Epoch: [26][6710/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5679 (2.6568) Prec@1 45.312 (42.657) Prec@5 71.094 (67.773) Epoch: [26][6720/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4513 (2.6567) Prec@1 48.438 (42.659) Prec@5 69.531 (67.775) Epoch: [26][6730/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8544 (2.6569) Prec@1 36.719 (42.657) Prec@5 62.500 (67.772) Epoch: [26][6740/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6765 (2.6567) Prec@1 41.406 (42.658) Prec@5 67.969 (67.774) Epoch: [26][6750/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7127 (2.6567) Prec@1 42.188 (42.659) Prec@5 64.844 (67.774) Epoch: [26][6760/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7240 (2.6567) Prec@1 37.500 (42.658) Prec@5 64.062 (67.774) Epoch: [26][6770/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6607 (2.6566) Prec@1 46.094 (42.660) Prec@5 64.844 (67.775) Epoch: [26][6780/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5752 (2.6566) Prec@1 47.656 (42.659) Prec@5 69.531 (67.776) Epoch: [26][6790/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.1086 (2.6566) Prec@1 37.500 (42.659) Prec@5 58.594 (67.776) Epoch: [26][6800/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9177 (2.6567) Prec@1 42.188 (42.659) Prec@5 64.062 (67.776) Epoch: [26][6810/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0664 (2.6569) Prec@1 39.062 (42.655) Prec@5 68.750 (67.774) Epoch: [26][6820/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5067 (2.6566) Prec@1 43.750 (42.659) Prec@5 70.312 (67.778) Epoch: [26][6830/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9650 (2.6567) Prec@1 37.500 (42.658) Prec@5 64.062 (67.777) Epoch: [26][6840/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4140 (2.6568) Prec@1 46.875 (42.658) Prec@5 70.312 (67.776) Epoch: [26][6850/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6756 (2.6570) Prec@1 39.844 (42.652) Prec@5 69.531 (67.770) Epoch: [26][6860/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5869 (2.6571) Prec@1 42.188 (42.650) Prec@5 67.969 (67.768) Epoch: [26][6870/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5822 (2.6571) Prec@1 41.406 (42.652) Prec@5 71.875 (67.769) Epoch: [26][6880/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6048 (2.6571) Prec@1 46.094 (42.651) Prec@5 70.312 (67.768) Epoch: [26][6890/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4914 (2.6571) Prec@1 45.312 (42.651) Prec@5 71.094 (67.767) Epoch: [26][6900/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6138 (2.6570) Prec@1 38.281 (42.653) Prec@5 67.188 (67.770) Epoch: [26][6910/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.2059 (2.6569) Prec@1 50.781 (42.656) Prec@5 78.906 (67.773) Epoch: [26][6920/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.2527 (2.6569) Prec@1 50.781 (42.656) Prec@5 75.000 (67.773) Epoch: [26][6930/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.8926 (2.6569) Prec@1 36.719 (42.653) Prec@5 64.062 (67.772) Epoch: [26][6940/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6580 (2.6569) Prec@1 38.281 (42.652) Prec@5 70.312 (67.774) Epoch: [26][6950/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6245 (2.6569) Prec@1 40.625 (42.652) Prec@5 66.406 (67.773) Epoch: [26][6960/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2074 (2.6569) Prec@1 54.688 (42.651) Prec@5 74.219 (67.773) Epoch: [26][6970/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7482 (2.6571) Prec@1 46.875 (42.649) Prec@5 66.406 (67.769) Epoch: [26][6980/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8056 (2.6571) Prec@1 34.375 (42.650) Prec@5 64.062 (67.772) Epoch: [26][6990/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5509 (2.6570) Prec@1 43.750 (42.651) Prec@5 68.750 (67.772) Epoch: [26][7000/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7627 (2.6569) Prec@1 39.062 (42.653) Prec@5 64.062 (67.775) Epoch: [26][7010/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9193 (2.6569) Prec@1 38.281 (42.654) Prec@5 63.281 (67.776) Epoch: [26][7020/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9373 (2.6568) Prec@1 35.938 (42.654) Prec@5 65.625 (67.778) Epoch: [26][7030/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5567 (2.6567) Prec@1 42.969 (42.655) Prec@5 70.312 (67.781) Epoch: [26][7040/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6006 (2.6569) Prec@1 48.438 (42.653) Prec@5 67.188 (67.778) Epoch: [26][7050/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.6117 (2.6567) Prec@1 39.844 (42.655) Prec@5 69.531 (67.779) Epoch: [26][7060/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6176 (2.6568) Prec@1 46.094 (42.656) Prec@5 70.312 (67.780) Epoch: [26][7070/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.7344 (2.6568) Prec@1 38.281 (42.656) Prec@5 63.281 (67.779) Epoch: [26][7080/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6828 (2.6569) Prec@1 41.406 (42.656) Prec@5 65.625 (67.778) Epoch: [26][7090/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5170 (2.6569) Prec@1 46.094 (42.656) Prec@5 70.312 (67.777) Epoch: [26][7100/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8637 (2.6569) Prec@1 40.625 (42.652) Prec@5 62.500 (67.777) Epoch: [26][7110/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8138 (2.6570) Prec@1 46.875 (42.652) Prec@5 61.719 (67.775) Epoch: [26][7120/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6129 (2.6570) Prec@1 43.750 (42.652) Prec@5 68.750 (67.775) Epoch: [26][7130/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6630 (2.6570) Prec@1 43.750 (42.652) Prec@5 67.188 (67.774) Epoch: [26][7140/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5324 (2.6569) Prec@1 48.438 (42.654) Prec@5 70.312 (67.778) Epoch: [26][7150/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.3408 (2.6570) Prec@1 30.469 (42.649) Prec@5 57.812 (67.773) Epoch: [26][7160/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.4996 (2.6572) Prec@1 44.531 (42.646) Prec@5 70.312 (67.770) Epoch: [26][7170/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6154 (2.6572) Prec@1 41.406 (42.646) Prec@5 68.750 (67.771) Epoch: [26][7180/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5818 (2.6571) Prec@1 42.969 (42.646) Prec@5 67.969 (67.771) Epoch: [26][7190/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3739 (2.6571) Prec@1 47.656 (42.645) Prec@5 74.219 (67.771) Epoch: [26][7200/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7277 (2.6573) Prec@1 40.625 (42.643) Prec@5 64.844 (67.769) Epoch: [26][7210/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4532 (2.6573) Prec@1 42.188 (42.643) Prec@5 75.000 (67.768) Epoch: [26][7220/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4890 (2.6572) Prec@1 46.094 (42.644) Prec@5 69.531 (67.769) Epoch: [26][7230/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8231 (2.6574) Prec@1 41.406 (42.641) Prec@5 64.844 (67.766) Epoch: [26][7240/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6226 (2.6574) Prec@1 43.750 (42.641) Prec@5 68.750 (67.765) Epoch: [26][7250/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4662 (2.6572) Prec@1 45.312 (42.643) Prec@5 70.312 (67.769) Epoch: [26][7260/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7017 (2.6572) Prec@1 36.719 (42.645) Prec@5 65.625 (67.770) Epoch: [26][7270/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5547 (2.6572) Prec@1 43.750 (42.645) Prec@5 69.531 (67.769) Epoch: [26][7280/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.0630 (2.6572) Prec@1 38.281 (42.644) Prec@5 57.812 (67.767) Epoch: [26][7290/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6097 (2.6572) Prec@1 41.406 (42.645) Prec@5 68.750 (67.767) Epoch: [26][7300/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7879 (2.6571) Prec@1 39.844 (42.648) Prec@5 67.969 (67.769) Epoch: [26][7310/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5390 (2.6570) Prec@1 45.312 (42.647) Prec@5 65.625 (67.769) Epoch: [26][7320/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5827 (2.6570) Prec@1 39.844 (42.646) Prec@5 67.188 (67.767) Epoch: [26][7330/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5917 (2.6571) Prec@1 44.531 (42.647) Prec@5 67.969 (67.766) Epoch: [26][7340/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6997 (2.6570) Prec@1 41.406 (42.647) Prec@5 64.062 (67.767) Epoch: [26][7350/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7729 (2.6571) Prec@1 46.094 (42.648) Prec@5 64.062 (67.764) Epoch: [26][7360/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7499 (2.6571) Prec@1 44.531 (42.650) Prec@5 65.625 (67.766) Epoch: [26][7370/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7159 (2.6571) Prec@1 37.500 (42.651) Prec@5 65.625 (67.765) Epoch: [26][7380/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7046 (2.6572) Prec@1 40.625 (42.652) Prec@5 67.188 (67.766) Epoch: [26][7390/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6946 (2.6572) Prec@1 41.406 (42.651) Prec@5 67.188 (67.765) Epoch: [26][7400/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7071 (2.6574) Prec@1 42.188 (42.650) Prec@5 61.719 (67.761) Epoch: [26][7410/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7860 (2.6573) Prec@1 39.062 (42.650) Prec@5 67.188 (67.762) Epoch: [26][7420/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8827 (2.6573) Prec@1 42.188 (42.650) Prec@5 63.281 (67.761) Epoch: [26][7430/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.4335 (2.6573) Prec@1 43.750 (42.650) Prec@5 71.875 (67.762) Epoch: [26][7440/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7805 (2.6574) Prec@1 41.406 (42.650) Prec@5 67.969 (67.762) Epoch: [26][7450/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6347 (2.6572) Prec@1 44.531 (42.655) Prec@5 64.062 (67.764) Epoch: [26][7460/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7843 (2.6572) Prec@1 40.625 (42.655) Prec@5 69.531 (67.766) Epoch: [26][7470/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5271 (2.6571) Prec@1 44.531 (42.657) Prec@5 66.406 (67.768) Epoch: [26][7480/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5976 (2.6570) Prec@1 44.531 (42.659) Prec@5 69.531 (67.769) Epoch: [26][7490/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6236 (2.6568) Prec@1 35.938 (42.659) Prec@5 71.094 (67.773) Epoch: [26][7500/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7997 (2.6570) Prec@1 35.938 (42.656) Prec@5 67.188 (67.770) Epoch: [26][7510/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7226 (2.6570) Prec@1 45.312 (42.657) Prec@5 66.406 (67.770) Epoch: [26][7520/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.7339 (2.6571) Prec@1 40.625 (42.657) Prec@5 64.844 (67.768) Epoch: [26][7530/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5015 (2.6569) Prec@1 41.406 (42.660) Prec@5 72.656 (67.770) Epoch: [26][7540/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9149 (2.6570) Prec@1 40.625 (42.659) Prec@5 64.844 (67.769) Epoch: [26][7550/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4461 (2.6570) Prec@1 47.656 (42.659) Prec@5 70.312 (67.769) Epoch: [26][7560/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5861 (2.6570) Prec@1 37.500 (42.657) Prec@5 64.844 (67.770) Epoch: [26][7570/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8471 (2.6570) Prec@1 39.844 (42.655) Prec@5 64.062 (67.769) Epoch: [26][7580/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3167 (2.6570) Prec@1 50.000 (42.655) Prec@5 73.438 (67.769) Epoch: [26][7590/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0285 (2.6570) Prec@1 38.281 (42.656) Prec@5 60.938 (67.769) Epoch: [26][7600/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5269 (2.6569) Prec@1 45.312 (42.656) Prec@5 67.188 (67.770) Epoch: [26][7610/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4134 (2.6568) Prec@1 47.656 (42.658) Prec@5 71.094 (67.770) Epoch: [26][7620/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8219 (2.6567) Prec@1 39.062 (42.660) Prec@5 67.188 (67.771) Epoch: [26][7630/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9282 (2.6567) Prec@1 41.406 (42.662) Prec@5 61.719 (67.769) Epoch: [26][7640/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8758 (2.6568) Prec@1 37.500 (42.662) Prec@5 64.062 (67.769) Epoch: [26][7650/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7382 (2.6569) Prec@1 44.531 (42.662) Prec@5 64.844 (67.766) Epoch: [26][7660/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7469 (2.6567) Prec@1 42.969 (42.666) Prec@5 64.844 (67.768) Epoch: [26][7670/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7225 (2.6567) Prec@1 39.844 (42.666) Prec@5 68.750 (67.769) Epoch: [26][7680/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6410 (2.6566) Prec@1 45.312 (42.669) Prec@5 64.062 (67.770) Epoch: [26][7690/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6244 (2.6566) Prec@1 42.969 (42.668) Prec@5 69.531 (67.769) Epoch: [26][7700/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7388 (2.6566) Prec@1 39.844 (42.666) Prec@5 66.406 (67.768) Epoch: [26][7710/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8467 (2.6566) Prec@1 33.594 (42.666) Prec@5 66.406 (67.769) Epoch: [26][7720/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3762 (2.6568) Prec@1 42.188 (42.663) Prec@5 72.656 (67.767) Epoch: [26][7730/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8903 (2.6569) Prec@1 37.500 (42.661) Prec@5 64.062 (67.766) Epoch: [26][7740/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5864 (2.6570) Prec@1 42.969 (42.659) Prec@5 71.094 (67.763) Epoch: [26][7750/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5058 (2.6569) Prec@1 40.625 (42.661) Prec@5 74.219 (67.765) Epoch: [26][7760/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4715 (2.6569) Prec@1 42.188 (42.662) Prec@5 70.312 (67.764) Epoch: [26][7770/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.3451 (2.6569) Prec@1 43.750 (42.662) Prec@5 67.188 (67.763) Epoch: [26][7780/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5006 (2.6570) Prec@1 46.875 (42.661) Prec@5 69.531 (67.761) Epoch: [26][7790/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 2.5045 (2.6570) Prec@1 42.969 (42.661) Prec@5 71.094 (67.762) Epoch: [26][7800/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4689 (2.6571) Prec@1 42.969 (42.660) Prec@5 70.312 (67.761) Epoch: [26][7810/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6529 (2.6570) Prec@1 47.656 (42.663) Prec@5 65.625 (67.762) Epoch: [26][7820/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.1446 (2.6568) Prec@1 53.906 (42.668) Prec@5 75.000 (67.764) Epoch: [26][7830/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6245 (2.6568) Prec@1 42.188 (42.667) Prec@5 67.969 (67.764) Epoch: [26][7840/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4526 (2.6568) Prec@1 45.312 (42.669) Prec@5 71.875 (67.765) Epoch: [26][7850/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6532 (2.6569) Prec@1 43.750 (42.666) Prec@5 67.969 (67.763) Epoch: [26][7860/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6801 (2.6569) Prec@1 42.969 (42.667) Prec@5 64.062 (67.764) Epoch: [26][7870/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6306 (2.6570) Prec@1 41.406 (42.667) Prec@5 68.750 (67.764) Epoch: [26][7880/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4452 (2.6570) Prec@1 47.656 (42.666) Prec@5 69.531 (67.765) Epoch: [26][7890/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9294 (2.6570) Prec@1 39.062 (42.666) Prec@5 60.938 (67.765) Epoch: [26][7900/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.9383 (2.6570) Prec@1 35.938 (42.667) Prec@5 65.625 (67.764) /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: [26][7910/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7227 (2.6571) Prec@1 41.406 (42.665) Prec@5 65.625 (67.761) Epoch: [26][7920/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6514 (2.6572) Prec@1 41.406 (42.663) Prec@5 68.750 (67.760) Epoch: [26][7930/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4186 (2.6573) Prec@1 42.969 (42.661) Prec@5 71.094 (67.758) Epoch: [26][7940/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.2919 (2.6574) Prec@1 46.094 (42.661) Prec@5 74.219 (67.757) Epoch: [26][7950/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6807 (2.6574) Prec@1 45.312 (42.663) Prec@5 71.875 (67.758) Epoch: [26][7960/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7773 (2.6573) Prec@1 46.094 (42.666) Prec@5 67.969 (67.761) Epoch: [26][7970/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.0300 (2.6574) Prec@1 35.156 (42.665) Prec@5 62.500 (67.760) Epoch: [26][7980/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4390 (2.6574) Prec@1 50.781 (42.665) Prec@5 71.094 (67.760) Epoch: [26][7990/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8171 (2.6575) Prec@1 35.156 (42.662) Prec@5 63.281 (67.759) Epoch: [26][8000/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5920 (2.6574) Prec@1 46.094 (42.663) Prec@5 70.312 (67.760) Epoch: [26][8010/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.3566 (2.6573) Prec@1 48.438 (42.665) Prec@5 73.438 (67.762) Epoch: [26][8020/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8209 (2.6574) Prec@1 44.531 (42.664) Prec@5 65.625 (67.761) Epoch: [26][8030/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8458 (2.6574) Prec@1 37.500 (42.666) Prec@5 67.969 (67.763) Epoch: [26][8040/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.1630 (2.6573) Prec@1 54.688 (42.669) Prec@5 78.125 (67.765) Epoch: [26][8050/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7723 (2.6572) Prec@1 42.969 (42.669) Prec@5 63.281 (67.766) Epoch: [26][8060/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9158 (2.6573) Prec@1 37.500 (42.670) Prec@5 56.250 (67.762) Epoch: [26][8070/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5690 (2.6574) Prec@1 46.875 (42.669) Prec@5 71.094 (67.759) Epoch: [26][8080/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9572 (2.6574) Prec@1 38.281 (42.670) Prec@5 61.719 (67.761) Epoch: [26][8090/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8950 (2.6572) Prec@1 40.625 (42.673) Prec@5 64.844 (67.765) Epoch: [26][8100/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7124 (2.6570) Prec@1 40.625 (42.677) Prec@5 66.406 (67.769) Epoch: [26][8110/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5436 (2.6571) Prec@1 47.656 (42.677) Prec@5 69.531 (67.767) Epoch: [26][8120/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.3280 (2.6569) Prec@1 47.656 (42.678) Prec@5 75.000 (67.770) Epoch: [26][8130/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6077 (2.6571) Prec@1 46.094 (42.676) Prec@5 71.094 (67.766) Epoch: [26][8140/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8085 (2.6570) Prec@1 42.969 (42.675) Prec@5 62.500 (67.764) Epoch: [26][8150/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.1849 (2.6569) Prec@1 50.000 (42.677) Prec@5 76.562 (67.769) Epoch: [26][8160/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7241 (2.6571) Prec@1 39.062 (42.675) Prec@5 64.062 (67.766) Epoch: [26][8170/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6197 (2.6572) Prec@1 42.969 (42.676) Prec@5 71.875 (67.766) Epoch: [26][8180/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5783 (2.6573) Prec@1 45.312 (42.674) Prec@5 71.094 (67.764) Epoch: [26][8190/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4548 (2.6572) Prec@1 39.062 (42.673) Prec@5 70.312 (67.766) Epoch: [26][8200/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3489 (2.6572) Prec@1 48.438 (42.673) Prec@5 73.438 (67.767) Epoch: [26][8210/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5249 (2.6572) Prec@1 42.969 (42.675) Prec@5 69.531 (67.768) Epoch: [26][8220/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6170 (2.6572) Prec@1 42.188 (42.677) Prec@5 68.750 (67.768) Epoch: [26][8230/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3531 (2.6572) Prec@1 47.656 (42.677) Prec@5 74.219 (67.769) Epoch: [26][8240/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4291 (2.6571) Prec@1 51.562 (42.680) Prec@5 68.750 (67.770) Epoch: [26][8250/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.5491 (2.6572) Prec@1 42.969 (42.680) Prec@5 69.531 (67.769) Epoch: [26][8260/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9061 (2.6572) Prec@1 35.156 (42.679) Prec@5 64.062 (67.769) Epoch: [26][8270/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5892 (2.6572) Prec@1 41.406 (42.678) Prec@5 68.750 (67.768) Epoch: [26][8280/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9445 (2.6574) Prec@1 37.500 (42.673) Prec@5 63.281 (67.765) Epoch: [26][8290/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8140 (2.6575) Prec@1 42.969 (42.673) Prec@5 68.750 (67.765) Epoch: [26][8300/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.5741 (2.6575) Prec@1 46.094 (42.673) Prec@5 70.312 (67.764) Epoch: [26][8310/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5360 (2.6575) Prec@1 44.531 (42.672) Prec@5 65.625 (67.762) Epoch: [26][8320/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8668 (2.6575) Prec@1 38.281 (42.671) Prec@5 63.281 (67.763) Epoch: [26][8330/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5395 (2.6575) Prec@1 40.625 (42.670) Prec@5 66.406 (67.762) Epoch: [26][8340/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4854 (2.6576) Prec@1 42.969 (42.668) Prec@5 69.531 (67.761) Epoch: [26][8350/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4119 (2.6575) Prec@1 44.531 (42.667) Prec@5 71.094 (67.763) Epoch: [26][8360/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8347 (2.6575) Prec@1 40.625 (42.667) Prec@5 65.625 (67.762) Epoch: [26][8370/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 3.1020 (2.6576) Prec@1 37.500 (42.667) Prec@5 60.938 (67.761) Epoch: [26][8380/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5148 (2.6576) Prec@1 44.531 (42.666) Prec@5 67.969 (67.761) Epoch: [26][8390/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7930 (2.6577) Prec@1 37.500 (42.660) Prec@5 61.719 (67.757) Epoch: [26][8400/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.2727 (2.6576) Prec@1 48.438 (42.660) Prec@5 75.781 (67.759) Epoch: [26][8410/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9065 (2.6577) Prec@1 38.281 (42.658) Prec@5 65.625 (67.758) Epoch: [26][8420/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7872 (2.6578) Prec@1 40.625 (42.657) Prec@5 67.969 (67.757) Epoch: [26][8430/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4973 (2.6580) Prec@1 43.750 (42.655) Prec@5 70.312 (67.754) Epoch: [26][8440/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.2510 (2.6580) Prec@1 50.000 (42.655) Prec@5 71.094 (67.754) Epoch: [26][8450/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4913 (2.6579) Prec@1 40.625 (42.656) Prec@5 73.438 (67.754) Epoch: [26][8460/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.3934 (2.6579) Prec@1 50.000 (42.657) Prec@5 73.438 (67.757) Epoch: [26][8470/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.1809 (2.6579) Prec@1 37.500 (42.655) Prec@5 62.500 (67.755) Epoch: [26][8480/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6658 (2.6579) Prec@1 43.750 (42.657) Prec@5 71.094 (67.757) Epoch: [26][8490/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7513 (2.6578) Prec@1 46.875 (42.659) Prec@5 68.750 (67.758) Epoch: [26][8500/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5757 (2.6579) Prec@1 41.406 (42.659) Prec@5 69.531 (67.758) Epoch: [26][8510/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4030 (2.6578) Prec@1 46.094 (42.661) Prec@5 68.750 (67.760) Epoch: [26][8520/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4012 (2.6578) Prec@1 52.344 (42.661) Prec@5 71.094 (67.759) Epoch: [26][8530/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.4398 (2.6577) Prec@1 45.312 (42.662) Prec@5 71.094 (67.759) Epoch: [26][8540/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7096 (2.6577) Prec@1 46.875 (42.661) Prec@5 67.969 (67.758) Epoch: [26][8550/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5405 (2.6576) Prec@1 43.750 (42.662) Prec@5 66.406 (67.760) Epoch: [26][8560/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6507 (2.6577) Prec@1 42.969 (42.661) Prec@5 68.750 (67.759) Epoch: [26][8570/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7012 (2.6578) Prec@1 41.406 (42.658) Prec@5 67.969 (67.759) Epoch: [26][8580/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7825 (2.6578) Prec@1 37.500 (42.658) Prec@5 71.875 (67.760) Epoch: [26][8590/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7967 (2.6578) Prec@1 41.406 (42.658) Prec@5 64.062 (67.759) Epoch: [26][8600/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6739 (2.6578) Prec@1 40.625 (42.657) Prec@5 70.312 (67.759) Epoch: [26][8610/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.3474 (2.6578) Prec@1 45.312 (42.658) Prec@5 71.094 (67.760) Epoch: [26][8620/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7164 (2.6578) Prec@1 42.969 (42.656) Prec@5 67.188 (67.759) Epoch: [26][8630/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8184 (2.6578) Prec@1 41.406 (42.657) Prec@5 67.969 (67.757) Epoch: [26][8640/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8171 (2.6578) Prec@1 39.062 (42.660) Prec@5 64.844 (67.758) Epoch: [26][8650/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6446 (2.6578) Prec@1 43.750 (42.658) Prec@5 71.094 (67.757) Epoch: [26][8660/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8411 (2.6578) Prec@1 42.969 (42.658) Prec@5 67.188 (67.757) Epoch: [26][8670/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9093 (2.6580) Prec@1 37.500 (42.655) Prec@5 57.812 (67.754) Epoch: [26][8680/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8297 (2.6581) Prec@1 40.625 (42.655) Prec@5 62.500 (67.750) Epoch: [26][8690/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6210 (2.6582) Prec@1 47.656 (42.653) Prec@5 67.969 (67.748) Epoch: [26][8700/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5088 (2.6583) Prec@1 43.750 (42.653) Prec@5 71.094 (67.746) Epoch: [26][8710/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4726 (2.6583) Prec@1 43.750 (42.651) Prec@5 72.656 (67.747) Epoch: [26][8720/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.3984 (2.6583) Prec@1 46.875 (42.649) Prec@5 73.438 (67.747) /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: [26][8730/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5258 (2.6582) Prec@1 48.438 (42.651) Prec@5 71.094 (67.747) Epoch: [26][8740/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.4793 (2.6581) Prec@1 43.750 (42.654) Prec@5 70.312 (67.748) Epoch: [26][8750/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5948 (2.6581) Prec@1 43.750 (42.652) Prec@5 67.188 (67.747) Epoch: [26][8760/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7197 (2.6580) Prec@1 40.625 (42.654) Prec@5 63.281 (67.748) Epoch: [26][8770/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5518 (2.6580) Prec@1 44.531 (42.653) Prec@5 71.875 (67.749) Epoch: [26][8780/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4873 (2.6579) Prec@1 44.531 (42.653) Prec@5 71.875 (67.752) Epoch: [26][8790/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4800 (2.6579) Prec@1 46.875 (42.653) Prec@5 72.656 (67.751) Epoch: [26][8800/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9226 (2.6580) Prec@1 35.156 (42.653) Prec@5 63.281 (67.750) Epoch: [26][8810/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7686 (2.6580) Prec@1 42.188 (42.652) Prec@5 67.188 (67.750) Epoch: [26][8820/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5884 (2.6580) Prec@1 38.281 (42.651) Prec@5 73.438 (67.750) Epoch: [26][8830/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5066 (2.6580) Prec@1 49.219 (42.652) Prec@5 67.969 (67.751) Epoch: [26][8840/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7338 (2.6580) Prec@1 41.406 (42.651) Prec@5 65.625 (67.750) Epoch: [26][8850/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.8142 (2.6580) Prec@1 42.969 (42.652) Prec@5 67.188 (67.750) Epoch: [26][8860/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6162 (2.6581) Prec@1 42.969 (42.650) Prec@5 67.969 (67.749) Epoch: [26][8870/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9958 (2.6580) Prec@1 40.625 (42.650) Prec@5 60.938 (67.749) Epoch: [26][8880/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5108 (2.6579) Prec@1 43.750 (42.652) Prec@5 71.094 (67.750) Epoch: [26][8890/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5199 (2.6581) Prec@1 46.875 (42.648) Prec@5 69.531 (67.747) Epoch: [26][8900/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8360 (2.6581) Prec@1 36.719 (42.647) Prec@5 63.281 (67.746) Epoch: [26][8910/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6145 (2.6582) Prec@1 37.500 (42.644) Prec@5 67.188 (67.743) Epoch: [26][8920/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6017 (2.6582) Prec@1 42.188 (42.644) Prec@5 71.875 (67.744) Epoch: [26][8930/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7359 (2.6582) Prec@1 46.094 (42.645) Prec@5 63.281 (67.743) Epoch: [26][8940/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8868 (2.6583) Prec@1 48.438 (42.645) Prec@5 63.281 (67.741) Epoch: [26][8950/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6562 (2.6584) Prec@1 41.406 (42.644) Prec@5 67.969 (67.740) Epoch: [26][8960/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7377 (2.6584) Prec@1 43.750 (42.644) Prec@5 64.062 (67.737) Epoch: [26][8970/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7059 (2.6585) Prec@1 39.062 (42.645) Prec@5 64.062 (67.736) Epoch: [26][8980/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6238 (2.6584) Prec@1 43.750 (42.647) Prec@5 64.844 (67.736) Epoch: [26][8990/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5492 (2.6584) Prec@1 42.969 (42.647) Prec@5 69.531 (67.736) Epoch: [26][9000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5911 (2.6584) Prec@1 39.844 (42.646) Prec@5 67.188 (67.733) Epoch: [26][9010/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5517 (2.6585) Prec@1 41.406 (42.646) Prec@5 67.969 (67.731) Epoch: [26][9020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7598 (2.6585) Prec@1 42.188 (42.647) Prec@5 63.281 (67.730) Epoch: [26][9030/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9698 (2.6585) Prec@1 39.844 (42.647) Prec@5 64.062 (67.731) Epoch: [26][9040/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 3.0948 (2.6586) Prec@1 32.812 (42.643) Prec@5 62.500 (67.730) Epoch: [26][9050/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7184 (2.6587) Prec@1 41.406 (42.642) Prec@5 65.625 (67.729) Epoch: [26][9060/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9611 (2.6588) Prec@1 38.281 (42.640) Prec@5 63.281 (67.728) Epoch: [26][9070/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4970 (2.6588) Prec@1 45.312 (42.638) Prec@5 73.438 (67.729) Epoch: [26][9080/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7429 (2.6589) Prec@1 38.281 (42.638) Prec@5 67.969 (67.727) Epoch: [26][9090/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8123 (2.6589) Prec@1 39.844 (42.638) Prec@5 66.406 (67.726) Epoch: [26][9100/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7574 (2.6589) Prec@1 38.281 (42.637) Prec@5 69.531 (67.723) Epoch: [26][9110/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7532 (2.6590) Prec@1 37.500 (42.638) Prec@5 65.625 (67.725) Epoch: [26][9120/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3667 (2.6589) Prec@1 48.438 (42.640) Prec@5 72.656 (67.725) Epoch: [26][9130/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7665 (2.6588) Prec@1 39.062 (42.641) Prec@5 69.531 (67.727) Epoch: [26][9140/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7913 (2.6589) Prec@1 40.625 (42.639) Prec@5 67.188 (67.728) Epoch: [26][9150/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3859 (2.6589) Prec@1 52.344 (42.638) Prec@5 70.312 (67.728) Epoch: [26][9160/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8309 (2.6590) Prec@1 41.406 (42.637) Prec@5 66.406 (67.726) Epoch: [26][9170/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6875 (2.6590) Prec@1 39.062 (42.637) Prec@5 64.844 (67.727) Epoch: [26][9180/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8402 (2.6590) Prec@1 44.531 (42.636) Prec@5 68.750 (67.727) Epoch: [26][9190/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5323 (2.6591) Prec@1 42.188 (42.634) Prec@5 67.188 (67.725) Epoch: [26][9200/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6848 (2.6591) Prec@1 43.750 (42.635) Prec@5 68.750 (67.726) Epoch: [26][9210/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6677 (2.6592) Prec@1 41.406 (42.631) Prec@5 64.062 (67.724) Epoch: [26][9220/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8337 (2.6593) Prec@1 37.500 (42.630) Prec@5 60.938 (67.722) Epoch: [26][9230/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.6478 (2.6593) Prec@1 41.406 (42.631) Prec@5 65.625 (67.722) Epoch: [26][9240/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8420 (2.6595) Prec@1 35.156 (42.629) Prec@5 64.844 (67.720) Epoch: [26][9250/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5447 (2.6594) Prec@1 44.531 (42.629) Prec@5 73.438 (67.721) Epoch: [26][9260/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4624 (2.6594) Prec@1 37.500 (42.628) Prec@5 70.312 (67.722) Epoch: [26][9270/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8238 (2.6594) Prec@1 39.844 (42.628) Prec@5 64.062 (67.721) Epoch: [26][9280/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5208 (2.6594) Prec@1 42.969 (42.629) Prec@5 67.969 (67.721) Epoch: [26][9290/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6757 (2.6595) Prec@1 42.188 (42.628) Prec@5 70.312 (67.721) Epoch: [26][9300/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 3.2127 (2.6595) Prec@1 36.719 (42.628) Prec@5 63.281 (67.721) Epoch: [26][9310/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7928 (2.6596) Prec@1 39.062 (42.628) Prec@5 67.188 (67.719) Epoch: [26][9320/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4071 (2.6595) Prec@1 41.406 (42.628) Prec@5 73.438 (67.721) Epoch: [26][9330/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4855 (2.6595) Prec@1 45.312 (42.626) Prec@5 67.188 (67.721) Epoch: [26][9340/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 3.0724 (2.6597) Prec@1 39.844 (42.624) Prec@5 53.906 (67.717) Epoch: [26][9350/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8169 (2.6598) Prec@1 36.719 (42.623) Prec@5 68.750 (67.718) Epoch: [26][9360/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5493 (2.6597) Prec@1 47.656 (42.623) Prec@5 67.188 (67.718) Epoch: [26][9370/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5986 (2.6597) Prec@1 41.406 (42.623) Prec@5 64.844 (67.718) Epoch: [26][9380/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.5050 (2.6596) Prec@1 50.781 (42.625) Prec@5 68.750 (67.720) Epoch: [26][9390/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6942 (2.6597) Prec@1 41.406 (42.625) Prec@5 67.188 (67.719) Epoch: [26][9400/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 3.0203 (2.6598) Prec@1 36.719 (42.623) Prec@5 62.500 (67.716) Epoch: [26][9410/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5503 (2.6596) Prec@1 42.969 (42.626) Prec@5 68.750 (67.718) /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: [26][9420/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7856 (2.6596) Prec@1 41.406 (42.625) Prec@5 62.500 (67.717) Epoch: [26][9430/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8687 (2.6597) Prec@1 42.969 (42.624) Prec@5 63.281 (67.716) Epoch: [26][9440/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0638 (2.6597) Prec@1 36.719 (42.625) Prec@5 65.625 (67.717) Epoch: [26][9450/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4260 (2.6597) Prec@1 42.969 (42.623) Prec@5 68.750 (67.717) Epoch: [26][9460/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5790 (2.6598) Prec@1 42.969 (42.622) Prec@5 71.094 (67.715) Epoch: [26][9470/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4473 (2.6597) Prec@1 50.000 (42.624) Prec@5 74.219 (67.717) Epoch: [26][9480/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6604 (2.6598) Prec@1 42.969 (42.623) Prec@5 61.719 (67.714) Epoch: [26][9490/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5173 (2.6598) Prec@1 41.406 (42.621) Prec@5 69.531 (67.715) Epoch: [26][9500/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7097 (2.6598) Prec@1 38.281 (42.620) Prec@5 64.844 (67.714) Epoch: [26][9510/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8309 (2.6599) Prec@1 37.500 (42.620) Prec@5 64.844 (67.714) Epoch: [26][9520/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.3823 (2.6599) Prec@1 47.656 (42.620) Prec@5 71.875 (67.713) Epoch: [26][9530/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.3637 (2.6598) Prec@1 50.000 (42.623) Prec@5 77.344 (67.716) Epoch: [26][9540/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7307 (2.6598) Prec@1 42.969 (42.623) Prec@5 64.062 (67.715) Epoch: [26][9550/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7023 (2.6597) Prec@1 38.281 (42.626) Prec@5 65.625 (67.718) Epoch: [26][9560/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5689 (2.6597) Prec@1 42.188 (42.626) Prec@5 72.656 (67.719) Epoch: [26][9570/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.2973 (2.6598) Prec@1 28.125 (42.623) Prec@5 56.250 (67.716) Epoch: [26][9580/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9790 (2.6599) Prec@1 40.625 (42.622) Prec@5 65.625 (67.715) Epoch: [26][9590/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7367 (2.6599) Prec@1 45.312 (42.623) Prec@5 65.625 (67.715) Epoch: [26][9600/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4624 (2.6599) Prec@1 42.969 (42.623) Prec@5 64.844 (67.715) Epoch: [26][9610/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5606 (2.6600) Prec@1 46.875 (42.621) Prec@5 66.406 (67.713) Epoch: [26][9620/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4642 (2.6600) Prec@1 46.094 (42.621) Prec@5 73.438 (67.715) Epoch: [26][9630/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7317 (2.6601) Prec@1 41.406 (42.621) Prec@5 66.406 (67.713) Epoch: [26][9640/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6608 (2.6601) Prec@1 39.844 (42.621) Prec@5 69.531 (67.714) Epoch: [26][9650/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6447 (2.6600) Prec@1 46.094 (42.623) Prec@5 66.406 (67.716) Epoch: [26][9660/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9881 (2.6600) Prec@1 32.812 (42.623) Prec@5 56.250 (67.716) Epoch: [26][9670/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.2790 (2.6600) Prec@1 35.156 (42.623) Prec@5 57.031 (67.715) Epoch: [26][9680/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5134 (2.6599) Prec@1 46.875 (42.625) Prec@5 71.094 (67.717) Epoch: [26][9690/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9029 (2.6600) Prec@1 40.625 (42.624) Prec@5 65.625 (67.718) Epoch: [26][9700/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.1630 (2.6600) Prec@1 38.281 (42.623) Prec@5 57.031 (67.717) Epoch: [26][9710/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3937 (2.6599) Prec@1 44.531 (42.626) Prec@5 74.219 (67.720) Epoch: [26][9720/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6224 (2.6599) Prec@1 42.969 (42.625) Prec@5 63.281 (67.716) Epoch: [26][9730/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6794 (2.6600) Prec@1 42.188 (42.624) Prec@5 65.625 (67.717) Epoch: [26][9740/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4972 (2.6600) Prec@1 46.094 (42.626) Prec@5 69.531 (67.718) Epoch: [26][9750/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7208 (2.6599) Prec@1 44.531 (42.628) Prec@5 67.969 (67.717) Epoch: [26][9760/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7461 (2.6598) Prec@1 40.625 (42.630) Prec@5 62.500 (67.718) Epoch: [26][9770/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7484 (2.6597) Prec@1 42.969 (42.632) Prec@5 65.625 (67.720) Epoch: [26][9780/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6520 (2.6597) Prec@1 42.969 (42.632) Prec@5 70.312 (67.719) Epoch: [26][9790/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6469 (2.6598) Prec@1 38.281 (42.633) Prec@5 71.875 (67.720) Epoch: [26][9800/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7421 (2.6598) Prec@1 43.750 (42.633) Prec@5 63.281 (67.720) Epoch: [26][9810/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6999 (2.6598) Prec@1 43.750 (42.633) Prec@5 67.188 (67.718) Epoch: [26][9820/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6244 (2.6597) Prec@1 46.094 (42.638) Prec@5 66.406 (67.720) Epoch: [26][9830/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7420 (2.6597) Prec@1 41.406 (42.637) Prec@5 62.500 (67.719) Epoch: [26][9840/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5947 (2.6596) Prec@1 42.188 (42.637) Prec@5 65.625 (67.720) Epoch: [26][9850/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.3937 (2.6597) Prec@1 48.438 (42.637) Prec@5 71.875 (67.719) Epoch: [26][9860/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9223 (2.6598) Prec@1 37.500 (42.635) Prec@5 61.719 (67.717) Epoch: [26][9870/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6426 (2.6597) Prec@1 42.969 (42.638) Prec@5 67.188 (67.718) Epoch: [26][9880/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7723 (2.6598) Prec@1 35.156 (42.637) Prec@5 67.969 (67.716) Epoch: [26][9890/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7889 (2.6599) Prec@1 39.062 (42.637) Prec@5 66.406 (67.716) Epoch: [26][9900/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8201 (2.6599) Prec@1 35.156 (42.634) Prec@5 66.406 (67.717) Epoch: [26][9910/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7905 (2.6599) Prec@1 39.844 (42.635) Prec@5 65.625 (67.716) Epoch: [26][9920/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5387 (2.6599) Prec@1 45.312 (42.634) Prec@5 67.188 (67.716) Epoch: [26][9930/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8397 (2.6599) Prec@1 43.750 (42.633) Prec@5 65.625 (67.716) Epoch: [26][9940/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6881 (2.6601) Prec@1 39.062 (42.631) Prec@5 67.969 (67.714) Epoch: [26][9950/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.5034 (2.6601) Prec@1 45.312 (42.630) Prec@5 69.531 (67.712) Epoch: [26][9960/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.9443 (2.6601) Prec@1 39.844 (42.632) Prec@5 61.719 (67.713) Epoch: [26][9970/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2344 (2.6600) Prec@1 51.562 (42.633) Prec@5 73.438 (67.713) Epoch: [26][9980/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.6675 (2.6601) Prec@1 42.969 (42.631) Prec@5 68.750 (67.712) Epoch: [26][9990/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7827 (2.6601) Prec@1 39.062 (42.629) Prec@5 64.844 (67.711) Epoch: [26][10000/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.9265 (2.6601) Prec@1 36.719 (42.628) Prec@5 65.625 (67.713) Test: [0/391] Time 1.529 (1.529) Loss 1.7998 (1.7998) Prec@1 66.406 (66.406) Prec@5 78.906 (78.906) Test: [10/391] Time 0.105 (0.235) Loss 2.0731 (1.5943) Prec@1 50.000 (62.003) Prec@5 80.469 (85.014) Test: [20/391] Time 0.101 (0.177) Loss 2.9392 (2.0249) Prec@1 48.438 (53.981) Prec@5 62.500 (79.129) Test: [30/391] Time 0.105 (0.154) Loss 2.6497 (2.1952) Prec@1 44.531 (50.302) Prec@5 68.750 (76.865) Test: [40/391] Time 0.102 (0.142) Loss 2.3434 (2.0010) Prec@1 51.562 (54.478) Prec@5 70.312 (79.078) Test: [50/391] Time 0.103 (0.135) Loss 2.1808 (2.0505) Prec@1 47.656 (53.294) Prec@5 80.469 (78.493) Test: [60/391] Time 0.105 (0.131) Loss 1.8599 (1.9383) Prec@1 46.094 (55.507) Prec@5 80.469 (79.982) Test: [70/391] Time 0.105 (0.127) Loss 2.0703 (2.0057) Prec@1 42.969 (53.158) Prec@5 81.250 (79.071) Test: [80/391] Time 0.105 (0.124) Loss 1.8460 (2.0119) Prec@1 52.344 (52.324) Prec@5 82.812 (79.167) Test: [90/391] Time 0.106 (0.122) Loss 2.3987 (2.0156) Prec@1 36.719 (51.872) Prec@5 82.031 (79.224) Test: [100/391] Time 0.106 (0.120) Loss 1.7503 (1.9940) Prec@1 53.906 (51.911) Prec@5 85.938 (79.626) Test: [110/391] Time 0.110 (0.120) Loss 1.4721 (2.0054) Prec@1 57.812 (51.415) Prec@5 89.844 (79.420) Test: [120/391] Time 0.103 (0.119) Loss 1.3816 (1.9788) Prec@1 67.969 (52.047) Prec@5 89.062 (79.907) Test: [130/391] Time 0.108 (0.117) Loss 1.3196 (1.9831) Prec@1 72.656 (52.189) Prec@5 89.844 (79.890) Test: [140/391] Time 0.103 (0.117) Loss 2.1598 (1.9923) Prec@1 45.312 (51.973) Prec@5 79.688 (79.832) Test: [150/391] Time 0.104 (0.116) Loss 1.6364 (1.9849) Prec@1 55.469 (52.276) Prec@5 87.500 (79.858) Test: [160/391] Time 0.104 (0.116) Loss 1.1785 (1.9780) Prec@1 70.312 (52.567) Prec@5 89.062 (79.954) Test: [170/391] Time 0.102 (0.115) Loss 2.5493 (2.0310) Prec@1 33.594 (51.718) Prec@5 75.781 (78.998) Test: [180/391] Time 0.104 (0.114) Loss 3.2862 (2.0754) Prec@1 29.688 (51.083) Prec@5 62.500 (78.319) Test: [190/391] Time 0.111 (0.114) Loss 2.7879 (2.1028) Prec@1 41.406 (50.761) Prec@5 70.312 (77.843) Test: [200/391] Time 0.104 (0.114) Loss 2.7303 (2.1476) Prec@1 36.719 (50.047) Prec@5 67.969 (77.247) Test: [210/391] Time 0.101 (0.114) Loss 2.3301 (2.1711) Prec@1 49.219 (49.756) Prec@5 72.656 (76.848) Test: [220/391] Time 0.110 (0.113) Loss 1.7037 (2.1866) Prec@1 60.156 (49.608) Prec@5 79.688 (76.485) Test: [230/391] Time 0.105 (0.113) Loss 3.1424 (2.2067) Prec@1 32.812 (49.307) Prec@5 65.625 (76.187) Test: [240/391] Time 0.103 (0.113) Loss 3.2381 (2.2361) Prec@1 37.500 (48.940) Prec@5 61.719 (75.694) Test: [250/391] Time 0.098 (0.113) Loss 2.3968 (2.2717) Prec@1 50.781 (48.363) Prec@5 71.094 (75.103) Test: [260/391] Time 0.101 (0.112) Loss 3.2100 (2.2953) Prec@1 29.688 (47.833) Prec@5 57.812 (74.796) Test: [270/391] Time 0.103 (0.112) Loss 3.9229 (2.3174) Prec@1 20.312 (47.555) Prec@5 50.000 (74.325) Test: [280/391] Time 0.105 (0.112) Loss 2.4155 (2.3275) Prec@1 41.406 (47.389) Prec@5 70.312 (74.113) Test: [290/391] Time 0.106 (0.112) Loss 2.7270 (2.3488) Prec@1 28.906 (47.084) Prec@5 63.281 (73.760) Test: [300/391] Time 0.104 (0.112) Loss 2.1769 (2.3699) Prec@1 56.250 (46.833) Prec@5 80.469 (73.427) Test: [310/391] Time 0.104 (0.112) Loss 3.1623 (2.3938) Prec@1 42.188 (46.511) Prec@5 62.500 (73.046) Test: [320/391] Time 0.105 (0.111) Loss 2.6514 (2.4113) Prec@1 48.438 (46.276) Prec@5 67.969 (72.715) Test: [330/391] Time 0.116 (0.111) Loss 3.5298 (2.4373) Prec@1 32.812 (45.888) Prec@5 54.688 (72.295) Test: [340/391] Time 0.105 (0.112) Loss 2.4460 (2.4424) Prec@1 39.062 (45.755) Prec@5 69.531 (72.221) Test: [350/391] Time 0.105 (0.111) Loss 2.3182 (2.4455) Prec@1 53.125 (45.771) Prec@5 75.000 (72.175) Test: [360/391] Time 0.104 (0.111) Loss 2.0361 (2.4489) Prec@1 45.312 (45.706) Prec@5 77.344 (72.143) Test: [370/391] Time 0.109 (0.111) Loss 2.1090 (2.4455) Prec@1 50.781 (45.748) Prec@5 85.156 (72.237) Test: [380/391] Time 0.102 (0.111) Loss 1.6427 (2.4436) Prec@1 61.719 (45.839) Prec@5 89.844 (72.289) Test: [390/391] Time 0.080 (0.111) Loss 4.1075 (2.4297) Prec@1 18.750 (46.094) Prec@5 47.500 (72.504) * Prec@1 46.094 Prec@5 72.504 Epoch: [27][0/10010] Time 2.675 (2.675) Data 2.517 (2.517) Loss 3.0469 (3.0469) Prec@1 35.938 (35.938) Prec@5 60.156 (60.156) Epoch: [27][10/10010] Time 0.327 (0.538) Data 0.000 (0.230) Loss 2.9522 (2.7521) Prec@1 41.406 (41.477) Prec@5 65.625 (65.909) Epoch: [27][20/10010] Time 0.322 (0.435) Data 0.001 (0.121) Loss 2.7888 (2.7643) Prec@1 37.500 (41.257) Prec@5 63.281 (65.811) Epoch: [27][30/10010] Time 0.324 (0.398) Data 0.000 (0.082) Loss 2.7310 (2.7184) Prec@1 40.625 (41.935) Prec@5 64.844 (66.910) Epoch: [27][40/10010] Time 0.316 (0.380) Data 0.001 (0.062) Loss 2.6180 (2.6978) Prec@1 46.094 (42.207) Prec@5 65.625 (67.054) Epoch: [27][50/10010] Time 0.336 (0.370) Data 0.001 (0.050) Loss 2.6341 (2.6958) Prec@1 35.938 (41.866) Prec@5 67.969 (66.988) Epoch: [27][60/10010] Time 0.325 (0.363) Data 0.000 (0.042) Loss 2.4909 (2.6831) Prec@1 46.094 (42.175) Prec@5 71.094 (66.983) Epoch: [27][70/10010] Time 0.342 (0.358) Data 0.000 (0.036) Loss 2.9778 (2.6855) Prec@1 39.062 (42.110) Prec@5 63.281 (66.956) Epoch: [27][80/10010] Time 0.324 (0.355) Data 0.001 (0.032) Loss 2.3180 (2.6789) Prec@1 48.438 (42.168) Prec@5 73.438 (67.081) Epoch: [27][90/10010] Time 0.320 (0.352) Data 0.001 (0.028) Loss 2.4818 (2.6711) Prec@1 44.531 (42.248) Prec@5 70.312 (67.119) Epoch: [27][100/10010] Time 0.328 (0.349) Data 0.000 (0.026) Loss 2.6803 (2.6661) Prec@1 40.625 (42.071) Prec@5 68.750 (67.203) Epoch: [27][110/10010] Time 0.329 (0.347) Data 0.001 (0.023) Loss 3.3354 (2.6658) Prec@1 29.688 (42.033) Prec@5 61.719 (67.300) Epoch: [27][120/10010] Time 0.342 (0.346) Data 0.000 (0.021) Loss 2.6562 (2.6611) Prec@1 38.281 (42.116) Prec@5 64.844 (67.381) Epoch: [27][130/10010] Time 0.319 (0.345) Data 0.000 (0.020) Loss 2.6299 (2.6575) Prec@1 40.625 (42.146) Prec@5 70.312 (67.504) Epoch: [27][140/10010] Time 0.324 (0.344) Data 0.000 (0.018) Loss 3.0166 (2.6553) Prec@1 37.500 (42.099) Prec@5 64.844 (67.548) Epoch: [27][150/10010] Time 0.325 (0.343) Data 0.000 (0.017) Loss 2.6828 (2.6546) Prec@1 42.188 (42.177) Prec@5 68.750 (67.529) Epoch: [27][160/10010] Time 0.346 (0.342) Data 0.001 (0.016) Loss 2.4521 (2.6493) Prec@1 47.656 (42.319) Prec@5 70.312 (67.682) Epoch: [27][170/10010] Time 0.338 (0.342) Data 0.001 (0.015) Loss 2.3733 (2.6459) Prec@1 46.094 (42.357) Prec@5 71.875 (67.772) Epoch: [27][180/10010] Time 0.334 (0.342) Data 0.001 (0.015) Loss 2.6438 (2.6469) Prec@1 41.406 (42.356) Prec@5 64.062 (67.766) Epoch: [27][190/10010] Time 0.331 (0.341) Data 0.000 (0.014) Loss 2.9315 (2.6493) Prec@1 42.188 (42.347) Prec@5 61.719 (67.682) Epoch: [27][200/10010] Time 0.338 (0.341) Data 0.000 (0.013) Loss 2.6469 (2.6477) Prec@1 41.406 (42.471) Prec@5 65.625 (67.708) Epoch: [27][210/10010] Time 0.320 (0.341) Data 0.001 (0.013) Loss 2.5781 (2.6455) Prec@1 46.875 (42.554) Prec@5 70.312 (67.758) Epoch: [27][220/10010] Time 0.318 (0.340) Data 0.000 (0.012) Loss 2.8841 (2.6413) Prec@1 39.062 (42.633) Prec@5 63.281 (67.866) Epoch: [27][230/10010] Time 0.342 (0.340) Data 0.000 (0.012) Loss 2.5434 (2.6409) Prec@1 43.750 (42.590) Prec@5 69.531 (67.938) Epoch: [27][240/10010] Time 0.326 (0.340) Data 0.000 (0.011) Loss 2.5396 (2.6398) Prec@1 42.188 (42.622) Prec@5 70.312 (67.972) Epoch: [27][250/10010] Time 0.319 (0.339) Data 0.000 (0.011) Loss 2.7236 (2.6391) Prec@1 42.969 (42.667) Prec@5 67.188 (67.981) Epoch: [27][260/10010] Time 0.335 (0.339) Data 0.001 (0.010) Loss 2.8353 (2.6410) Prec@1 46.094 (42.675) Prec@5 65.625 (67.975) Epoch: [27][270/10010] Time 0.325 (0.338) Data 0.001 (0.010) Loss 2.2713 (2.6409) Prec@1 46.875 (42.666) Prec@5 72.656 (68.026) Epoch: [27][280/10010] Time 0.339 (0.338) Data 0.001 (0.010) Loss 2.7298 (2.6405) Prec@1 41.406 (42.710) Prec@5 69.531 (67.985) Epoch: [27][290/10010] Time 0.321 (0.338) Data 0.000 (0.009) Loss 2.6007 (2.6403) Prec@1 43.750 (42.679) Prec@5 68.750 (68.014) Epoch: [27][300/10010] Time 0.341 (0.338) Data 0.000 (0.009) Loss 2.2950 (2.6383) Prec@1 50.781 (42.769) Prec@5 76.562 (68.054) Epoch: [27][310/10010] Time 0.326 (0.338) Data 0.000 (0.009) Loss 2.3248 (2.6365) Prec@1 46.094 (42.788) Prec@5 73.438 (68.107) Epoch: [27][320/10010] Time 0.341 (0.337) Data 0.001 (0.008) Loss 2.7739 (2.6360) Prec@1 41.406 (42.781) Prec@5 68.750 (68.125) Epoch: [27][330/10010] Time 0.322 (0.337) Data 0.000 (0.008) Loss 2.6043 (2.6322) Prec@1 44.531 (42.863) Prec@5 69.531 (68.193) Epoch: [27][340/10010] Time 0.332 (0.337) Data 0.000 (0.008) Loss 2.4918 (2.6334) Prec@1 48.438 (42.868) Prec@5 72.656 (68.173) Epoch: [27][350/10010] Time 0.340 (0.337) Data 0.001 (0.008) Loss 2.9920 (2.6363) Prec@1 39.844 (42.806) Prec@5 61.719 (68.096) Epoch: [27][360/10010] Time 0.343 (0.337) Data 0.000 (0.008) Loss 2.4982 (2.6360) Prec@1 39.844 (42.806) Prec@5 65.625 (68.096) Epoch: [27][370/10010] Time 0.332 (0.336) Data 0.000 (0.007) Loss 3.0705 (2.6358) Prec@1 41.406 (42.845) Prec@5 60.156 (68.089) Epoch: [27][380/10010] Time 0.331 (0.336) Data 0.000 (0.007) Loss 2.5068 (2.6367) Prec@1 49.219 (42.848) Prec@5 71.094 (68.075) Epoch: [27][390/10010] Time 0.325 (0.336) Data 0.000 (0.007) Loss 2.5127 (2.6360) Prec@1 43.750 (42.877) Prec@5 70.312 (68.105) Epoch: [27][400/10010] Time 0.343 (0.336) Data 0.001 (0.007) Loss 2.4079 (2.6369) Prec@1 46.094 (42.825) Prec@5 73.438 (68.080) Epoch: [27][410/10010] Time 0.338 (0.336) Data 0.001 (0.007) Loss 2.4290 (2.6360) Prec@1 45.312 (42.839) Prec@5 74.219 (68.100) Epoch: [27][420/10010] Time 0.330 (0.335) Data 0.000 (0.007) Loss 2.4681 (2.6354) Prec@1 45.312 (42.822) Prec@5 74.219 (68.088) Epoch: [27][430/10010] Time 0.331 (0.335) Data 0.000 (0.006) Loss 2.6945 (2.6363) Prec@1 43.750 (42.822) Prec@5 67.188 (68.054) Epoch: [27][440/10010] Time 0.342 (0.335) Data 0.000 (0.006) Loss 2.7146 (2.6334) Prec@1 36.719 (42.845) Prec@5 66.406 (68.144) Epoch: [27][450/10010] Time 0.337 (0.335) Data 0.001 (0.006) Loss 2.5902 (2.6364) Prec@1 43.750 (42.828) Prec@5 70.312 (68.116) Epoch: [27][460/10010] Time 0.335 (0.335) Data 0.000 (0.006) Loss 2.5073 (2.6369) Prec@1 43.750 (42.813) Prec@5 70.312 (68.120) Epoch: [27][470/10010] Time 0.333 (0.335) Data 0.000 (0.006) Loss 2.6925 (2.6376) Prec@1 42.969 (42.780) Prec@5 67.188 (68.116) Epoch: [27][480/10010] Time 0.333 (0.335) Data 0.001 (0.006) Loss 2.6194 (2.6366) Prec@1 40.625 (42.780) Prec@5 64.844 (68.131) Epoch: [27][490/10010] Time 0.338 (0.335) Data 0.000 (0.006) Loss 2.4605 (2.6384) Prec@1 41.406 (42.754) Prec@5 74.219 (68.091) Epoch: [27][500/10010] Time 0.347 (0.335) Data 0.000 (0.006) Loss 2.5970 (2.6384) Prec@1 45.312 (42.764) Prec@5 67.969 (68.106) Epoch: [27][510/10010] Time 0.344 (0.335) Data 0.001 (0.005) Loss 2.5275 (2.6377) Prec@1 43.750 (42.732) Prec@5 68.750 (68.096) Epoch: [27][520/10010] Time 0.317 (0.335) Data 0.001 (0.005) Loss 2.8727 (2.6383) Prec@1 43.750 (42.739) Prec@5 64.062 (68.086) Epoch: [27][530/10010] Time 0.338 (0.335) Data 0.001 (0.005) Loss 2.7198 (2.6362) Prec@1 36.719 (42.744) Prec@5 67.188 (68.136) Epoch: [27][540/10010] Time 0.329 (0.335) Data 0.000 (0.005) Loss 2.5175 (2.6364) Prec@1 40.625 (42.748) Prec@5 67.969 (68.130) Epoch: [27][550/10010] Time 0.328 (0.335) Data 0.000 (0.005) Loss 2.6368 (2.6346) Prec@1 46.094 (42.803) Prec@5 66.406 (68.154) Epoch: [27][560/10010] Time 0.328 (0.335) Data 0.000 (0.005) Loss 2.3772 (2.6339) Prec@1 50.000 (42.816) Prec@5 71.875 (68.157) Epoch: [27][570/10010] Time 0.325 (0.335) Data 0.001 (0.005) Loss 2.6788 (2.6342) Prec@1 41.406 (42.803) Prec@5 65.625 (68.149) Epoch: [27][580/10010] Time 0.333 (0.335) Data 0.000 (0.005) Loss 2.5861 (2.6358) Prec@1 46.094 (42.782) Prec@5 67.969 (68.123) Epoch: [27][590/10010] Time 0.324 (0.335) Data 0.001 (0.005) Loss 2.5496 (2.6355) Prec@1 42.969 (42.789) Prec@5 68.750 (68.126) Epoch: [27][600/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 2.6004 (2.6354) Prec@1 45.312 (42.805) Prec@5 67.969 (68.117) Epoch: [27][610/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 2.3942 (2.6346) Prec@1 46.875 (42.808) Prec@5 75.781 (68.130) Epoch: [27][620/10010] Time 0.325 (0.334) Data 0.000 (0.005) Loss 2.6001 (2.6338) Prec@1 42.969 (42.828) Prec@5 70.312 (68.131) Epoch: [27][630/10010] Time 0.340 (0.334) Data 0.001 (0.005) Loss 2.9312 (2.6341) Prec@1 37.500 (42.841) Prec@5 64.062 (68.128) Epoch: [27][640/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 2.4739 (2.6343) Prec@1 48.438 (42.855) Prec@5 72.656 (68.141) Epoch: [27][650/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.6975 (2.6337) Prec@1 46.094 (42.875) Prec@5 71.875 (68.163) Epoch: [27][660/10010] Time 0.337 (0.334) Data 0.000 (0.004) Loss 2.7943 (2.6334) Prec@1 39.844 (42.869) Prec@5 66.406 (68.172) Epoch: [27][670/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.5391 (2.6327) Prec@1 46.094 (42.888) Prec@5 69.531 (68.186) Epoch: [27][680/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 2.3434 (2.6321) Prec@1 46.094 (42.900) Prec@5 75.000 (68.192) Epoch: [27][690/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.7168 (2.6334) Prec@1 45.312 (42.888) Prec@5 64.844 (68.150) Epoch: [27][700/10010] Time 0.335 (0.334) Data 0.000 (0.004) Loss 2.9042 (2.6328) Prec@1 36.719 (42.909) Prec@5 68.750 (68.156) Epoch: [27][710/10010] Time 0.344 (0.334) Data 0.000 (0.004) Loss 2.6518 (2.6327) Prec@1 43.750 (42.914) Prec@5 69.531 (68.171) Epoch: [27][720/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 3.0516 (2.6335) Prec@1 41.406 (42.905) Prec@5 64.062 (68.179) Epoch: [27][730/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 2.7890 (2.6336) Prec@1 46.094 (42.923) Prec@5 67.188 (68.166) Epoch: [27][740/10010] Time 0.333 (0.334) Data 0.000 (0.004) Loss 2.6666 (2.6330) Prec@1 41.406 (42.947) Prec@5 67.969 (68.179) Epoch: [27][750/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 2.4343 (2.6328) Prec@1 45.312 (42.957) Prec@5 71.875 (68.180) Epoch: [27][760/10010] Time 0.316 (0.334) Data 0.001 (0.004) Loss 2.6939 (2.6323) Prec@1 42.188 (42.973) Prec@5 67.188 (68.172) Epoch: [27][770/10010] Time 0.337 (0.334) Data 0.000 (0.004) Loss 2.5637 (2.6330) Prec@1 47.656 (42.986) Prec@5 68.750 (68.143) Epoch: [27][780/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 2.5257 (2.6324) Prec@1 46.094 (43.001) Prec@5 69.531 (68.150) Epoch: [27][790/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.7353 (2.6314) Prec@1 38.281 (43.018) Prec@5 64.062 (68.164) Epoch: [27][800/10010] Time 0.344 (0.334) Data 0.000 (0.004) Loss 2.3999 (2.6307) Prec@1 46.875 (43.033) Prec@5 69.531 (68.166) Epoch: [27][810/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 2.4971 (2.6289) Prec@1 47.656 (43.073) Prec@5 67.969 (68.188) Epoch: [27][820/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 2.6052 (2.6286) Prec@1 42.188 (43.068) Prec@5 71.875 (68.216) Epoch: [27][830/10010] Time 0.341 (0.334) Data 0.001 (0.004) Loss 3.0383 (2.6278) Prec@1 38.281 (43.071) Prec@5 61.719 (68.220) Epoch: [27][840/10010] Time 0.329 (0.334) Data 0.001 (0.004) Loss 2.4894 (2.6268) Prec@1 45.312 (43.082) Prec@5 73.438 (68.244) Epoch: [27][850/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 3.0160 (2.6265) Prec@1 38.281 (43.084) Prec@5 63.281 (68.262) Epoch: [27][860/10010] Time 0.323 (0.334) Data 0.001 (0.003) Loss 2.5980 (2.6260) Prec@1 41.406 (43.090) Prec@5 67.969 (68.268) Epoch: [27][870/10010] Time 0.323 (0.334) Data 0.000 (0.003) Loss 2.5865 (2.6262) Prec@1 41.406 (43.084) Prec@5 69.531 (68.266) Epoch: [27][880/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 2.4425 (2.6255) Prec@1 46.875 (43.095) Prec@5 72.656 (68.272) Epoch: [27][890/10010] Time 0.316 (0.334) Data 0.000 (0.003) Loss 3.0749 (2.6270) Prec@1 39.844 (43.078) Prec@5 59.375 (68.244) Epoch: [27][900/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.4090 (2.6264) Prec@1 46.094 (43.096) Prec@5 75.000 (68.257) Epoch: [27][910/10010] Time 0.338 (0.333) Data 0.000 (0.003) Loss 2.8646 (2.6261) Prec@1 36.719 (43.086) Prec@5 61.719 (68.269) Epoch: [27][920/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.4430 (2.6259) Prec@1 46.094 (43.088) Prec@5 71.875 (68.270) Epoch: [27][930/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 2.5908 (2.6268) Prec@1 44.531 (43.081) Prec@5 67.188 (68.261) Epoch: [27][940/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.5489 (2.6264) Prec@1 39.844 (43.082) Prec@5 71.875 (68.256) Epoch: [27][950/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.7654 (2.6273) Prec@1 40.625 (43.068) Prec@5 64.844 (68.236) Epoch: [27][960/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 2.7890 (2.6281) Prec@1 39.844 (43.055) Prec@5 69.531 (68.240) Epoch: [27][970/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.5137 (2.6283) Prec@1 46.094 (43.060) Prec@5 73.438 (68.242) Epoch: [27][980/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 2.5857 (2.6280) Prec@1 39.062 (43.064) Prec@5 72.656 (68.242) Epoch: [27][990/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.3892 (2.6292) Prec@1 50.000 (43.054) Prec@5 72.656 (68.219) Epoch: [27][1000/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.5513 (2.6298) Prec@1 42.969 (43.041) Prec@5 68.750 (68.201) Epoch: [27][1010/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.8191 (2.6301) Prec@1 43.750 (43.043) Prec@5 60.938 (68.188) Epoch: [27][1020/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.5427 (2.6303) Prec@1 42.188 (43.032) Prec@5 69.531 (68.191) Epoch: [27][1030/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.8439 (2.6311) Prec@1 39.844 (43.019) Prec@5 58.594 (68.163) Epoch: [27][1040/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 2.7906 (2.6307) Prec@1 41.406 (43.021) Prec@5 69.531 (68.170) Epoch: [27][1050/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.8584 (2.6304) Prec@1 40.625 (43.038) Prec@5 63.281 (68.181) Epoch: [27][1060/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.6908 (2.6306) Prec@1 47.656 (43.041) Prec@5 70.312 (68.165) Epoch: [27][1070/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.6212 (2.6308) Prec@1 37.500 (43.025) Prec@5 67.969 (68.165) Epoch: [27][1080/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 2.6976 (2.6308) Prec@1 41.406 (43.008) Prec@5 69.531 (68.165) Epoch: [27][1090/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 2.6213 (2.6308) Prec@1 40.625 (42.992) Prec@5 67.969 (68.164) Epoch: [27][1100/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.7881 (2.6316) Prec@1 40.625 (42.982) Prec@5 63.281 (68.149) Epoch: [27][1110/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 2.5271 (2.6305) Prec@1 47.656 (43.003) Prec@5 67.188 (68.164) Epoch: [27][1120/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 2.9068 (2.6313) Prec@1 39.062 (42.988) Prec@5 61.719 (68.143) Epoch: [27][1130/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 2.5506 (2.6308) Prec@1 40.625 (42.996) Prec@5 70.312 (68.150) Epoch: [27][1140/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.3285 (2.6315) Prec@1 51.562 (42.998) Prec@5 71.875 (68.141) Epoch: [27][1150/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 2.3868 (2.6309) Prec@1 46.875 (43.006) Prec@5 72.656 (68.145) Epoch: [27][1160/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 2.7067 (2.6316) Prec@1 42.188 (42.987) Prec@5 63.281 (68.129) Epoch: [27][1170/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.5700 (2.6312) Prec@1 43.750 (42.999) Prec@5 67.969 (68.143) Epoch: [27][1180/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.3047 (2.6310) Prec@1 48.438 (42.995) Prec@5 74.219 (68.142) /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: [27][1190/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.5789 (2.6315) Prec@1 42.969 (42.973) Prec@5 71.094 (68.122) Epoch: [27][1200/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 3.0233 (2.6315) Prec@1 36.719 (42.968) Prec@5 60.156 (68.113) Epoch: [27][1210/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.7741 (2.6313) Prec@1 39.062 (42.966) Prec@5 66.406 (68.116) Epoch: [27][1220/10010] Time 0.351 (0.333) Data 0.000 (0.003) Loss 2.6618 (2.6320) Prec@1 35.938 (42.945) Prec@5 71.094 (68.104) Epoch: [27][1230/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 3.0557 (2.6322) Prec@1 35.938 (42.932) Prec@5 61.719 (68.101) Epoch: [27][1240/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.7159 (2.6339) Prec@1 36.719 (42.901) Prec@5 69.531 (68.070) Epoch: [27][1250/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 2.3834 (2.6331) Prec@1 44.531 (42.906) Prec@5 75.000 (68.085) Epoch: [27][1260/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 2.2535 (2.6328) Prec@1 54.688 (42.926) Prec@5 73.438 (68.088) Epoch: [27][1270/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.8193 (2.6331) Prec@1 41.406 (42.923) Prec@5 68.750 (68.086) Epoch: [27][1280/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 2.3917 (2.6330) Prec@1 41.406 (42.903) Prec@5 75.000 (68.090) Epoch: [27][1290/10010] Time 0.315 (0.333) Data 0.000 (0.003) Loss 2.8075 (2.6336) Prec@1 39.844 (42.887) Prec@5 64.844 (68.084) Epoch: [27][1300/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 2.8913 (2.6341) Prec@1 42.969 (42.876) Prec@5 66.406 (68.082) Epoch: [27][1310/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.7320 (2.6341) Prec@1 40.625 (42.873) Prec@5 66.406 (68.078) Epoch: [27][1320/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.7513 (2.6341) Prec@1 42.188 (42.863) Prec@5 64.062 (68.062) Epoch: [27][1330/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.4360 (2.6339) Prec@1 45.312 (42.883) Prec@5 74.219 (68.064) Epoch: [27][1340/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.6839 (2.6341) Prec@1 42.969 (42.877) Prec@5 64.844 (68.056) Epoch: [27][1350/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.9546 (2.6343) Prec@1 39.062 (42.873) Prec@5 67.969 (68.051) Epoch: [27][1360/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.7238 (2.6351) Prec@1 41.406 (42.860) Prec@5 70.312 (68.041) Epoch: [27][1370/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.6942 (2.6345) Prec@1 41.406 (42.874) Prec@5 64.062 (68.059) Epoch: [27][1380/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 2.8054 (2.6351) Prec@1 41.406 (42.861) Prec@5 69.531 (68.042) Epoch: [27][1390/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.8543 (2.6352) Prec@1 35.938 (42.843) Prec@5 62.500 (68.040) Epoch: [27][1400/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.5029 (2.6354) Prec@1 46.094 (42.843) Prec@5 71.875 (68.032) Epoch: [27][1410/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.6468 (2.6359) Prec@1 45.312 (42.845) Prec@5 64.844 (68.020) Epoch: [27][1420/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 2.5332 (2.6362) Prec@1 38.281 (42.842) Prec@5 73.438 (68.026) Epoch: [27][1430/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.5584 (2.6353) Prec@1 47.656 (42.857) Prec@5 73.438 (68.050) Epoch: [27][1440/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.5934 (2.6355) Prec@1 46.875 (42.847) Prec@5 67.969 (68.042) Epoch: [27][1450/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.6996 (2.6357) Prec@1 38.281 (42.840) Prec@5 67.969 (68.044) Epoch: [27][1460/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.4370 (2.6363) Prec@1 38.281 (42.837) Prec@5 71.875 (68.043) Epoch: [27][1470/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.8646 (2.6369) Prec@1 42.969 (42.834) Prec@5 67.969 (68.026) Epoch: [27][1480/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.4646 (2.6365) Prec@1 45.312 (42.832) Prec@5 72.656 (68.032) Epoch: [27][1490/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.5963 (2.6365) Prec@1 44.531 (42.828) Prec@5 71.875 (68.034) Epoch: [27][1500/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.6474 (2.6359) Prec@1 45.312 (42.839) Prec@5 75.000 (68.054) Epoch: [27][1510/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.6595 (2.6367) Prec@1 45.312 (42.824) Prec@5 66.406 (68.039) Epoch: [27][1520/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.9534 (2.6370) Prec@1 36.719 (42.818) Prec@5 63.281 (68.039) Epoch: [27][1530/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.9221 (2.6372) Prec@1 39.062 (42.823) Prec@5 60.938 (68.033) Epoch: [27][1540/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.7371 (2.6374) Prec@1 42.969 (42.825) Prec@5 65.625 (68.032) Epoch: [27][1550/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.8819 (2.6385) Prec@1 37.500 (42.801) Prec@5 60.156 (68.010) Epoch: [27][1560/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.6231 (2.6388) Prec@1 41.406 (42.797) Prec@5 68.750 (68.003) Epoch: [27][1570/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.7187 (2.6383) Prec@1 45.312 (42.799) Prec@5 65.625 (68.003) Epoch: [27][1580/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.6399 (2.6378) Prec@1 43.750 (42.801) Prec@5 67.969 (68.008) Epoch: [27][1590/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.1689 (2.6375) Prec@1 58.594 (42.815) Prec@5 75.000 (68.009) Epoch: [27][1600/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.6569 (2.6370) Prec@1 39.844 (42.814) Prec@5 64.062 (68.011) Epoch: [27][1610/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.7350 (2.6370) Prec@1 42.969 (42.826) Prec@5 65.625 (68.005) Epoch: [27][1620/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.5860 (2.6377) Prec@1 47.656 (42.818) Prec@5 65.625 (67.991) Epoch: [27][1630/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.5439 (2.6375) Prec@1 43.750 (42.815) Prec@5 69.531 (68.001) Epoch: [27][1640/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 2.5252 (2.6373) Prec@1 43.750 (42.831) Prec@5 70.312 (68.008) Epoch: [27][1650/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.4447 (2.6378) Prec@1 44.531 (42.826) Prec@5 73.438 (68.004) Epoch: [27][1660/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.6603 (2.6387) Prec@1 44.531 (42.811) Prec@5 64.844 (67.989) Epoch: [27][1670/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.6949 (2.6387) Prec@1 41.406 (42.801) Prec@5 69.531 (67.985) Epoch: [27][1680/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.2396 (2.6383) Prec@1 47.656 (42.806) Prec@5 78.125 (68.001) Epoch: [27][1690/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 3.0943 (2.6394) Prec@1 37.500 (42.790) Prec@5 58.594 (67.984) Epoch: [27][1700/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.5704 (2.6392) Prec@1 44.531 (42.795) Prec@5 67.969 (67.989) Epoch: [27][1710/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.8578 (2.6395) Prec@1 41.406 (42.788) Prec@5 67.188 (67.983) Epoch: [27][1720/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.6535 (2.6397) Prec@1 36.719 (42.788) Prec@5 67.188 (67.982) Epoch: [27][1730/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.6885 (2.6400) Prec@1 37.500 (42.779) Prec@5 71.094 (67.982) Epoch: [27][1740/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 2.6768 (2.6401) Prec@1 42.188 (42.783) Prec@5 68.750 (67.984) Epoch: [27][1750/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6957 (2.6399) Prec@1 40.625 (42.789) Prec@5 67.188 (67.981) Epoch: [27][1760/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.3131 (2.6394) Prec@1 45.312 (42.800) Prec@5 75.000 (67.982) Epoch: [27][1770/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 2.5599 (2.6396) Prec@1 42.969 (42.794) Prec@5 67.969 (67.985) Epoch: [27][1780/10010] Time 0.356 (0.332) Data 0.000 (0.002) Loss 2.8209 (2.6399) Prec@1 36.719 (42.789) Prec@5 68.750 (67.986) Epoch: [27][1790/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.6723 (2.6397) Prec@1 40.625 (42.789) Prec@5 67.188 (67.991) Epoch: [27][1800/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.8972 (2.6403) Prec@1 42.969 (42.786) Prec@5 67.188 (67.989) Epoch: [27][1810/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.5414 (2.6404) Prec@1 39.844 (42.797) Prec@5 69.531 (67.989) Epoch: [27][1820/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.5785 (2.6399) Prec@1 41.406 (42.804) Prec@5 70.312 (67.996) Epoch: [27][1830/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.5595 (2.6397) Prec@1 46.875 (42.799) Prec@5 67.969 (67.995) Epoch: [27][1840/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.3373 (2.6392) Prec@1 50.000 (42.809) Prec@5 71.094 (68.001) Epoch: [27][1850/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.9756 (2.6398) Prec@1 42.188 (42.816) Prec@5 57.812 (67.994) Epoch: [27][1860/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.6334 (2.6401) Prec@1 39.062 (42.812) Prec@5 64.844 (67.989) Epoch: [27][1870/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.6768 (2.6404) Prec@1 41.406 (42.808) Prec@5 67.188 (67.985) Epoch: [27][1880/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6984 (2.6401) Prec@1 42.188 (42.813) Prec@5 69.531 (67.992) Epoch: [27][1890/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 3.2118 (2.6407) Prec@1 35.938 (42.807) Prec@5 59.375 (67.983) Epoch: [27][1900/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.6705 (2.6408) Prec@1 42.969 (42.804) Prec@5 68.750 (67.979) Epoch: [27][1910/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.5846 (2.6411) Prec@1 43.750 (42.796) Prec@5 70.312 (67.977) Epoch: [27][1920/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.3096 (2.6409) Prec@1 50.000 (42.803) Prec@5 71.875 (67.978) Epoch: [27][1930/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.5510 (2.6411) Prec@1 42.188 (42.810) Prec@5 67.188 (67.974) Epoch: [27][1940/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6864 (2.6409) Prec@1 42.188 (42.806) Prec@5 68.750 (67.987) Epoch: [27][1950/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6886 (2.6411) Prec@1 44.531 (42.806) Prec@5 68.750 (67.982) Epoch: [27][1960/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.4509 (2.6410) Prec@1 43.750 (42.811) Prec@5 71.875 (67.980) Epoch: [27][1970/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.5541 (2.6407) Prec@1 38.281 (42.810) Prec@5 67.969 (67.983) Epoch: [27][1980/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.4066 (2.6404) Prec@1 46.875 (42.815) Prec@5 75.000 (67.990) Epoch: [27][1990/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 3.0274 (2.6412) Prec@1 38.281 (42.808) Prec@5 60.938 (67.979) Epoch: [27][2000/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.8864 (2.6411) Prec@1 40.625 (42.808) Prec@5 66.406 (67.979) Epoch: [27][2010/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.3978 (2.6408) Prec@1 43.750 (42.811) Prec@5 75.781 (67.982) Epoch: [27][2020/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.3810 (2.6410) Prec@1 46.875 (42.804) Prec@5 74.219 (67.977) Epoch: [27][2030/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.6238 (2.6411) Prec@1 37.500 (42.801) Prec@5 66.406 (67.973) Epoch: [27][2040/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.9123 (2.6416) Prec@1 35.938 (42.795) Prec@5 63.281 (67.962) Epoch: [27][2050/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.6451 (2.6417) Prec@1 43.750 (42.794) Prec@5 67.969 (67.963) Epoch: [27][2060/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.4650 (2.6413) Prec@1 42.188 (42.793) Prec@5 68.750 (67.968) Epoch: [27][2070/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.7803 (2.6419) Prec@1 42.969 (42.791) Prec@5 68.750 (67.964) Epoch: [27][2080/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.2274 (2.6420) Prec@1 48.438 (42.778) Prec@5 72.656 (67.960) Epoch: [27][2090/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.4756 (2.6419) Prec@1 43.750 (42.780) Prec@5 70.312 (67.960) Epoch: [27][2100/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.4826 (2.6418) Prec@1 46.875 (42.786) Prec@5 71.875 (67.964) Epoch: [27][2110/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.6772 (2.6418) Prec@1 42.188 (42.789) Prec@5 64.062 (67.963) Epoch: [27][2120/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.6957 (2.6416) Prec@1 43.750 (42.797) Prec@5 67.188 (67.963) Epoch: [27][2130/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.9118 (2.6418) Prec@1 39.062 (42.805) Prec@5 67.188 (67.966) Epoch: [27][2140/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.8788 (2.6421) Prec@1 40.625 (42.808) Prec@5 60.938 (67.961) Epoch: [27][2150/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.8159 (2.6420) Prec@1 36.719 (42.805) Prec@5 67.188 (67.969) Epoch: [27][2160/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6252 (2.6422) Prec@1 42.969 (42.802) Prec@5 70.312 (67.965) Epoch: [27][2170/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.8547 (2.6425) Prec@1 43.750 (42.802) Prec@5 66.406 (67.970) Epoch: [27][2180/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.6217 (2.6428) Prec@1 45.312 (42.804) Prec@5 67.188 (67.960) Epoch: [27][2190/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.7602 (2.6433) Prec@1 44.531 (42.798) Prec@5 66.406 (67.950) Epoch: [27][2200/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.5356 (2.6432) Prec@1 45.312 (42.792) Prec@5 67.969 (67.949) Epoch: [27][2210/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.6230 (2.6439) Prec@1 42.969 (42.777) Prec@5 67.188 (67.941) Epoch: [27][2220/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.5891 (2.6434) Prec@1 47.656 (42.784) Prec@5 70.312 (67.950) Epoch: [27][2230/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 3.1343 (2.6436) Prec@1 37.500 (42.786) Prec@5 60.938 (67.946) Epoch: [27][2240/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.6700 (2.6436) Prec@1 42.969 (42.784) Prec@5 68.750 (67.945) Epoch: [27][2250/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.5334 (2.6437) Prec@1 50.000 (42.787) Prec@5 73.438 (67.949) Epoch: [27][2260/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.8639 (2.6435) Prec@1 36.719 (42.790) Prec@5 65.625 (67.955) Epoch: [27][2270/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.5582 (2.6434) Prec@1 42.969 (42.787) Prec@5 69.531 (67.952) Epoch: [27][2280/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.9559 (2.6435) Prec@1 35.156 (42.782) Prec@5 61.719 (67.952) Epoch: [27][2290/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 3.0401 (2.6434) Prec@1 36.719 (42.782) Prec@5 60.156 (67.953) Epoch: [27][2300/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.7549 (2.6438) Prec@1 41.406 (42.778) Prec@5 64.062 (67.944) Epoch: [27][2310/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.9115 (2.6438) Prec@1 38.281 (42.780) Prec@5 60.156 (67.945) Epoch: [27][2320/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 3.0325 (2.6442) Prec@1 38.281 (42.772) Prec@5 57.812 (67.935) Epoch: [27][2330/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.8553 (2.6440) Prec@1 35.938 (42.779) Prec@5 66.406 (67.937) Epoch: [27][2340/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.8644 (2.6442) Prec@1 40.625 (42.781) Prec@5 64.844 (67.935) Epoch: [27][2350/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.6713 (2.6439) Prec@1 45.312 (42.787) Prec@5 65.625 (67.937) Epoch: [27][2360/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 3.0108 (2.6441) Prec@1 38.281 (42.788) Prec@5 64.844 (67.936) Epoch: [27][2370/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5046 (2.6439) Prec@1 39.062 (42.790) Prec@5 69.531 (67.934) Epoch: [27][2380/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.6957 (2.6446) Prec@1 38.281 (42.776) Prec@5 67.188 (67.923) Epoch: [27][2390/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.9933 (2.6445) Prec@1 39.062 (42.780) Prec@5 60.156 (67.923) Epoch: [27][2400/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.8911 (2.6446) Prec@1 43.750 (42.788) Prec@5 64.062 (67.927) Epoch: [27][2410/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.8030 (2.6451) Prec@1 39.844 (42.776) Prec@5 64.844 (67.915) Epoch: [27][2420/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.7891 (2.6458) Prec@1 46.094 (42.762) Prec@5 64.062 (67.903) Epoch: [27][2430/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.6790 (2.6457) Prec@1 44.531 (42.765) Prec@5 64.844 (67.903) Epoch: [27][2440/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 2.7075 (2.6456) Prec@1 46.875 (42.780) Prec@5 65.625 (67.906) Epoch: [27][2450/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.6291 (2.6456) Prec@1 42.969 (42.783) Prec@5 65.625 (67.910) Epoch: [27][2460/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.5087 (2.6459) Prec@1 43.750 (42.778) Prec@5 67.969 (67.902) Epoch: [27][2470/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.4090 (2.6459) Prec@1 48.438 (42.777) Prec@5 73.438 (67.901) Epoch: [27][2480/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.8513 (2.6457) Prec@1 38.281 (42.787) Prec@5 59.375 (67.903) Epoch: [27][2490/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.7237 (2.6458) Prec@1 39.844 (42.784) Prec@5 63.281 (67.897) Epoch: [27][2500/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6432 (2.6459) Prec@1 42.969 (42.786) Prec@5 71.094 (67.896) Epoch: [27][2510/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.7189 (2.6461) Prec@1 39.062 (42.787) Prec@5 69.531 (67.893) Epoch: [27][2520/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.7349 (2.6464) Prec@1 42.188 (42.783) Prec@5 65.625 (67.887) Epoch: [27][2530/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.7738 (2.6463) Prec@1 39.844 (42.781) Prec@5 68.750 (67.888) Epoch: [27][2540/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 3.3360 (2.6466) Prec@1 30.469 (42.774) Prec@5 57.812 (67.883) Epoch: [27][2550/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.1833 (2.6467) Prec@1 52.344 (42.775) Prec@5 76.562 (67.883) Epoch: [27][2560/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.5987 (2.6463) Prec@1 38.281 (42.774) Prec@5 65.625 (67.888) Epoch: [27][2570/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.3307 (2.6464) Prec@1 51.562 (42.771) Prec@5 74.219 (67.890) Epoch: [27][2580/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.3428 (2.6460) Prec@1 50.000 (42.779) Prec@5 66.406 (67.897) Epoch: [27][2590/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.3759 (2.6457) Prec@1 50.000 (42.791) Prec@5 74.219 (67.906) Epoch: [27][2600/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 3.0856 (2.6458) Prec@1 30.469 (42.795) Prec@5 60.938 (67.903) Epoch: [27][2610/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.3188 (2.6457) Prec@1 46.875 (42.796) Prec@5 75.000 (67.905) Epoch: [27][2620/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8925 (2.6460) Prec@1 50.781 (42.799) Prec@5 63.281 (67.901) Epoch: [27][2630/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.8067 (2.6462) Prec@1 41.406 (42.796) Prec@5 63.281 (67.896) Epoch: [27][2640/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.2421 (2.6461) Prec@1 52.344 (42.800) Prec@5 73.438 (67.895) Epoch: [27][2650/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.0287 (2.6462) Prec@1 36.719 (42.798) Prec@5 60.156 (67.891) Epoch: [27][2660/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.5043 (2.6462) Prec@1 45.312 (42.798) Prec@5 71.875 (67.892) Epoch: [27][2670/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.5876 (2.6462) Prec@1 39.844 (42.796) Prec@5 67.969 (67.891) Epoch: [27][2680/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5431 (2.6462) Prec@1 43.750 (42.800) Prec@5 72.656 (67.888) Epoch: [27][2690/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.8600 (2.6463) Prec@1 42.188 (42.798) Prec@5 65.625 (67.889) Epoch: [27][2700/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.5821 (2.6464) Prec@1 46.094 (42.803) Prec@5 73.438 (67.889) Epoch: [27][2710/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6553 (2.6465) Prec@1 45.312 (42.800) Prec@5 67.969 (67.892) Epoch: [27][2720/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7899 (2.6469) Prec@1 43.750 (42.795) Prec@5 67.969 (67.882) Epoch: [27][2730/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.1792 (2.6468) Prec@1 52.344 (42.798) Prec@5 72.656 (67.881) Epoch: [27][2740/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.6121 (2.6466) Prec@1 46.875 (42.800) Prec@5 69.531 (67.884) Epoch: [27][2750/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.7209 (2.6466) Prec@1 38.281 (42.797) Prec@5 69.531 (67.889) Epoch: [27][2760/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.6795 (2.6464) Prec@1 39.844 (42.802) Prec@5 75.000 (67.895) Epoch: [27][2770/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.4636 (2.6462) Prec@1 48.438 (42.805) Prec@5 74.219 (67.901) Epoch: [27][2780/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.6794 (2.6466) Prec@1 37.500 (42.796) Prec@5 66.406 (67.894) Epoch: [27][2790/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5217 (2.6469) Prec@1 43.750 (42.783) Prec@5 71.094 (67.893) Epoch: [27][2800/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.4939 (2.6471) Prec@1 42.188 (42.779) Prec@5 71.094 (67.893) Epoch: [27][2810/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.2425 (2.6471) Prec@1 47.656 (42.779) Prec@5 74.219 (67.890) Epoch: [27][2820/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5529 (2.6472) Prec@1 46.875 (42.776) Prec@5 72.656 (67.892) Epoch: [27][2830/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.8473 (2.6474) Prec@1 40.625 (42.772) Prec@5 64.844 (67.893) Epoch: [27][2840/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3719 (2.6475) Prec@1 40.625 (42.769) Prec@5 71.875 (67.888) Epoch: [27][2850/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.7576 (2.6478) Prec@1 35.156 (42.768) Prec@5 64.844 (67.884) Epoch: [27][2860/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.5533 (2.6478) Prec@1 42.969 (42.771) Prec@5 67.188 (67.879) Epoch: [27][2870/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8091 (2.6479) Prec@1 41.406 (42.768) Prec@5 66.406 (67.880) Epoch: [27][2880/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 3.0855 (2.6477) Prec@1 35.156 (42.768) Prec@5 64.062 (67.885) Epoch: [27][2890/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.6494 (2.6482) Prec@1 42.188 (42.756) Prec@5 68.750 (67.872) Epoch: [27][2900/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.4905 (2.6484) Prec@1 44.531 (42.752) Prec@5 68.750 (67.870) Epoch: [27][2910/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.5214 (2.6484) Prec@1 37.500 (42.750) Prec@5 69.531 (67.868) Epoch: [27][2920/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.9858 (2.6484) Prec@1 35.156 (42.753) Prec@5 62.500 (67.870) Epoch: [27][2930/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.6210 (2.6484) Prec@1 45.312 (42.756) Prec@5 65.625 (67.869) Epoch: [27][2940/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.4811 (2.6482) Prec@1 43.750 (42.759) Prec@5 70.312 (67.874) Epoch: [27][2950/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.7334 (2.6482) Prec@1 40.625 (42.765) Prec@5 64.844 (67.878) Epoch: [27][2960/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.5533 (2.6480) Prec@1 42.969 (42.769) Prec@5 71.875 (67.883) Epoch: [27][2970/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.3994 (2.6479) Prec@1 50.781 (42.772) Prec@5 72.656 (67.884) Epoch: [27][2980/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6634 (2.6481) Prec@1 46.875 (42.768) Prec@5 67.188 (67.881) Epoch: [27][2990/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.5010 (2.6482) Prec@1 47.656 (42.767) Prec@5 67.188 (67.879) Epoch: [27][3000/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.7034 (2.6478) Prec@1 35.156 (42.776) Prec@5 67.188 (67.885) Epoch: [27][3010/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.8324 (2.6478) Prec@1 42.188 (42.776) Prec@5 67.969 (67.885) Epoch: [27][3020/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.5120 (2.6476) Prec@1 50.781 (42.778) Prec@5 68.750 (67.888) Epoch: [27][3030/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8353 (2.6479) Prec@1 38.281 (42.773) Prec@5 65.625 (67.877) Epoch: [27][3040/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.9125 (2.6484) Prec@1 33.594 (42.767) Prec@5 64.844 (67.861) Epoch: [27][3050/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.9298 (2.6487) Prec@1 42.188 (42.760) Prec@5 60.156 (67.853) Epoch: [27][3060/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.3443 (2.6485) Prec@1 48.438 (42.765) Prec@5 72.656 (67.857) Epoch: [27][3070/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.9934 (2.6488) Prec@1 39.844 (42.764) Prec@5 60.156 (67.855) Epoch: [27][3080/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.9159 (2.6493) Prec@1 31.250 (42.758) Prec@5 62.500 (67.843) Epoch: [27][3090/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.7672 (2.6496) Prec@1 40.625 (42.755) Prec@5 69.531 (67.846) Epoch: [27][3100/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7943 (2.6498) Prec@1 42.188 (42.757) Prec@5 61.719 (67.840) Epoch: [27][3110/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.9486 (2.6501) Prec@1 37.500 (42.755) Prec@5 61.719 (67.832) Epoch: [27][3120/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.7097 (2.6498) Prec@1 39.844 (42.760) Prec@5 67.188 (67.838) Epoch: [27][3130/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.5341 (2.6500) Prec@1 42.969 (42.757) Prec@5 71.875 (67.837) Epoch: [27][3140/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.5325 (2.6499) Prec@1 43.750 (42.762) Prec@5 69.531 (67.838) Epoch: [27][3150/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6431 (2.6501) Prec@1 44.531 (42.760) Prec@5 65.625 (67.838) Epoch: [27][3160/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.7983 (2.6503) Prec@1 39.844 (42.758) Prec@5 64.062 (67.832) Epoch: [27][3170/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.2343 (2.6506) Prec@1 46.875 (42.754) Prec@5 75.781 (67.826) Epoch: [27][3180/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.8333 (2.6509) Prec@1 37.500 (42.752) Prec@5 70.312 (67.826) Epoch: [27][3190/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.3799 (2.6505) Prec@1 44.531 (42.753) Prec@5 74.219 (67.832) Epoch: [27][3200/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.6055 (2.6506) Prec@1 36.719 (42.753) Prec@5 73.438 (67.832) Epoch: [27][3210/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8603 (2.6507) Prec@1 40.625 (42.752) Prec@5 68.750 (67.832) Epoch: [27][3220/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7550 (2.6505) Prec@1 41.406 (42.757) Prec@5 67.969 (67.836) Epoch: [27][3230/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.6539 (2.6505) Prec@1 43.750 (42.756) Prec@5 69.531 (67.838) Epoch: [27][3240/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.3126 (2.6502) Prec@1 49.219 (42.758) Prec@5 75.781 (67.845) Epoch: [27][3250/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.5831 (2.6500) Prec@1 46.875 (42.758) Prec@5 70.312 (67.850) Epoch: [27][3260/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.5223 (2.6497) Prec@1 46.875 (42.765) Prec@5 71.094 (67.858) Epoch: [27][3270/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.6502 (2.6496) Prec@1 42.188 (42.765) Prec@5 64.844 (67.861) Epoch: [27][3280/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.6769 (2.6496) Prec@1 43.750 (42.763) Prec@5 66.406 (67.859) Epoch: [27][3290/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.4972 (2.6501) Prec@1 51.562 (42.757) Prec@5 70.312 (67.852) Epoch: [27][3300/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.8716 (2.6503) Prec@1 36.719 (42.754) Prec@5 63.281 (67.846) /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: [27][3310/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.6782 (2.6504) Prec@1 44.531 (42.752) Prec@5 67.188 (67.843) Epoch: [27][3320/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.3434 (2.6502) Prec@1 46.875 (42.755) Prec@5 72.656 (67.847) Epoch: [27][3330/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.6162 (2.6505) Prec@1 40.625 (42.749) Prec@5 65.625 (67.842) Epoch: [27][3340/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 3.0817 (2.6509) Prec@1 40.625 (42.743) Prec@5 63.281 (67.836) Epoch: [27][3350/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.7399 (2.6511) Prec@1 38.281 (42.741) Prec@5 65.625 (67.834) Epoch: [27][3360/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.7454 (2.6513) Prec@1 41.406 (42.743) Prec@5 70.312 (67.832) Epoch: [27][3370/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.7175 (2.6513) Prec@1 44.531 (42.746) Prec@5 64.062 (67.835) Epoch: [27][3380/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.3320 (2.6510) Prec@1 48.438 (42.748) Prec@5 75.781 (67.838) Epoch: [27][3390/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5780 (2.6507) Prec@1 43.750 (42.753) Prec@5 68.750 (67.842) Epoch: [27][3400/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.7828 (2.6506) Prec@1 35.938 (42.752) Prec@5 66.406 (67.843) Epoch: [27][3410/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.9270 (2.6506) Prec@1 41.406 (42.751) Prec@5 67.188 (67.842) Epoch: [27][3420/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.6710 (2.6507) Prec@1 43.750 (42.751) Prec@5 68.750 (67.839) Epoch: [27][3430/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.2860 (2.6507) Prec@1 50.781 (42.752) Prec@5 72.656 (67.836) Epoch: [27][3440/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9440 (2.6508) Prec@1 40.625 (42.749) Prec@5 64.062 (67.837) Epoch: [27][3450/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.6161 (2.6510) Prec@1 42.188 (42.747) Prec@5 67.969 (67.834) Epoch: [27][3460/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.7123 (2.6510) Prec@1 41.406 (42.745) Prec@5 67.969 (67.836) Epoch: [27][3470/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.4482 (2.6511) Prec@1 44.531 (42.745) Prec@5 71.094 (67.834) Epoch: [27][3480/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.7736 (2.6512) Prec@1 42.969 (42.744) Prec@5 65.625 (67.833) Epoch: [27][3490/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.7498 (2.6513) Prec@1 40.625 (42.740) Prec@5 63.281 (67.834) Epoch: [27][3500/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.7203 (2.6513) Prec@1 39.062 (42.738) Prec@5 67.969 (67.832) Epoch: [27][3510/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.5241 (2.6510) Prec@1 46.875 (42.744) Prec@5 71.875 (67.836) Epoch: [27][3520/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.8999 (2.6511) Prec@1 39.062 (42.742) Prec@5 63.281 (67.835) Epoch: [27][3530/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.6358 (2.6512) Prec@1 46.875 (42.744) Prec@5 67.188 (67.834) Epoch: [27][3540/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7223 (2.6513) Prec@1 37.500 (42.743) Prec@5 68.750 (67.836) Epoch: [27][3550/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4949 (2.6511) Prec@1 46.875 (42.741) Prec@5 67.188 (67.837) Epoch: [27][3560/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7409 (2.6514) Prec@1 39.844 (42.741) Prec@5 67.969 (67.831) Epoch: [27][3570/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.5049 (2.6512) Prec@1 45.312 (42.739) Prec@5 68.750 (67.837) Epoch: [27][3580/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5764 (2.6511) Prec@1 38.281 (42.739) Prec@5 70.312 (67.839) Epoch: [27][3590/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.4439 (2.6509) Prec@1 42.188 (42.739) Prec@5 71.875 (67.841) Epoch: [27][3600/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.8563 (2.6512) Prec@1 35.156 (42.740) Prec@5 60.938 (67.835) Epoch: [27][3610/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.8318 (2.6514) Prec@1 41.406 (42.739) Prec@5 64.062 (67.831) Epoch: [27][3620/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.4345 (2.6515) Prec@1 47.656 (42.737) Prec@5 75.000 (67.834) Epoch: [27][3630/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0116 (2.6516) Prec@1 42.188 (42.736) Prec@5 61.719 (67.833) Epoch: [27][3640/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8841 (2.6513) Prec@1 42.969 (42.745) Prec@5 64.062 (67.835) Epoch: [27][3650/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7766 (2.6513) Prec@1 37.500 (42.750) Prec@5 67.188 (67.837) Epoch: [27][3660/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5356 (2.6512) Prec@1 49.219 (42.753) Prec@5 68.750 (67.836) Epoch: [27][3670/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6515 (2.6515) Prec@1 39.062 (42.749) Prec@5 71.875 (67.834) Epoch: [27][3680/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6131 (2.6511) Prec@1 41.406 (42.762) Prec@5 63.281 (67.838) Epoch: [27][3690/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4339 (2.6509) Prec@1 42.969 (42.764) Prec@5 71.094 (67.843) Epoch: [27][3700/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4944 (2.6509) Prec@1 42.969 (42.765) Prec@5 72.656 (67.845) Epoch: [27][3710/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6959 (2.6507) Prec@1 42.969 (42.767) Prec@5 67.188 (67.849) Epoch: [27][3720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4642 (2.6508) Prec@1 46.875 (42.764) Prec@5 71.094 (67.848) Epoch: [27][3730/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9595 (2.6508) Prec@1 35.156 (42.762) Prec@5 62.500 (67.849) Epoch: [27][3740/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7632 (2.6509) Prec@1 42.188 (42.764) Prec@5 64.062 (67.846) Epoch: [27][3750/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4925 (2.6508) Prec@1 43.750 (42.765) Prec@5 74.219 (67.849) Epoch: [27][3760/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7452 (2.6510) Prec@1 44.531 (42.767) Prec@5 67.188 (67.847) Epoch: [27][3770/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7966 (2.6511) Prec@1 40.625 (42.765) Prec@5 67.969 (67.843) Epoch: [27][3780/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7509 (2.6514) Prec@1 47.656 (42.764) Prec@5 69.531 (67.844) Epoch: [27][3790/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9318 (2.6513) Prec@1 38.281 (42.761) Prec@5 64.062 (67.845) Epoch: [27][3800/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9924 (2.6519) Prec@1 39.062 (42.753) Prec@5 60.938 (67.837) Epoch: [27][3810/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4836 (2.6520) Prec@1 42.969 (42.750) Prec@5 69.531 (67.836) Epoch: [27][3820/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7319 (2.6516) Prec@1 42.969 (42.754) Prec@5 67.188 (67.844) Epoch: [27][3830/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0959 (2.6518) Prec@1 36.719 (42.750) Prec@5 57.812 (67.839) Epoch: [27][3840/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5201 (2.6517) Prec@1 47.656 (42.756) Prec@5 71.875 (67.842) Epoch: [27][3850/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9957 (2.6518) Prec@1 34.375 (42.758) Prec@5 63.281 (67.840) Epoch: [27][3860/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.4763 (2.6517) Prec@1 46.094 (42.761) Prec@5 70.312 (67.840) Epoch: [27][3870/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7566 (2.6516) Prec@1 42.188 (42.765) Prec@5 66.406 (67.839) Epoch: [27][3880/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.3650 (2.6516) Prec@1 52.344 (42.763) Prec@5 71.875 (67.840) Epoch: [27][3890/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7856 (2.6515) Prec@1 41.406 (42.764) Prec@5 66.406 (67.842) Epoch: [27][3900/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5130 (2.6514) Prec@1 43.750 (42.766) Prec@5 71.094 (67.842) Epoch: [27][3910/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6368 (2.6515) Prec@1 42.969 (42.764) Prec@5 67.188 (67.838) /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: [27][3920/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5507 (2.6515) Prec@1 47.656 (42.763) Prec@5 71.094 (67.836) Epoch: [27][3930/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9196 (2.6515) Prec@1 39.844 (42.767) Prec@5 59.375 (67.835) Epoch: [27][3940/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9599 (2.6514) Prec@1 41.406 (42.768) Prec@5 65.625 (67.836) Epoch: [27][3950/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6177 (2.6515) Prec@1 44.531 (42.768) Prec@5 64.062 (67.836) Epoch: [27][3960/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8071 (2.6515) Prec@1 45.312 (42.767) Prec@5 60.938 (67.836) Epoch: [27][3970/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5577 (2.6514) Prec@1 50.000 (42.767) Prec@5 71.875 (67.839) Epoch: [27][3980/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5025 (2.6513) Prec@1 44.531 (42.773) Prec@5 75.000 (67.843) Epoch: [27][3990/10010] Time 0.328 (0.331) Data 0.002 (0.001) Loss 2.5882 (2.6513) Prec@1 42.188 (42.771) Prec@5 67.969 (67.847) Epoch: [27][4000/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8097 (2.6512) Prec@1 39.062 (42.770) Prec@5 63.281 (67.847) Epoch: [27][4010/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8075 (2.6513) Prec@1 41.406 (42.771) Prec@5 68.750 (67.848) Epoch: [27][4020/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0553 (2.6514) Prec@1 38.281 (42.771) Prec@5 57.031 (67.845) Epoch: [27][4030/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8254 (2.6513) Prec@1 37.500 (42.771) Prec@5 65.625 (67.845) Epoch: [27][4040/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5075 (2.6511) Prec@1 42.969 (42.776) Prec@5 69.531 (67.847) Epoch: [27][4050/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4730 (2.6508) Prec@1 46.094 (42.783) Prec@5 73.438 (67.853) Epoch: [27][4060/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4971 (2.6513) Prec@1 50.781 (42.771) Prec@5 67.969 (67.846) Epoch: [27][4070/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8898 (2.6512) Prec@1 36.719 (42.773) Prec@5 62.500 (67.847) Epoch: [27][4080/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.0929 (2.6512) Prec@1 35.938 (42.778) Prec@5 62.500 (67.845) Epoch: [27][4090/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4497 (2.6511) Prec@1 43.750 (42.779) Prec@5 67.969 (67.846) Epoch: [27][4100/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6473 (2.6510) Prec@1 46.094 (42.782) Prec@5 68.750 (67.852) Epoch: [27][4110/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4385 (2.6511) Prec@1 43.750 (42.778) Prec@5 75.000 (67.850) Epoch: [27][4120/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6869 (2.6513) Prec@1 42.969 (42.773) Prec@5 65.625 (67.846) Epoch: [27][4130/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.4890 (2.6512) Prec@1 46.094 (42.775) Prec@5 67.969 (67.844) Epoch: [27][4140/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7186 (2.6514) Prec@1 44.531 (42.771) Prec@5 64.062 (67.841) Epoch: [27][4150/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.4083 (2.6516) Prec@1 35.938 (42.768) Prec@5 54.688 (67.837) Epoch: [27][4160/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9369 (2.6516) Prec@1 40.625 (42.767) Prec@5 60.156 (67.837) Epoch: [27][4170/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5250 (2.6519) Prec@1 51.562 (42.765) Prec@5 69.531 (67.834) Epoch: [27][4180/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 3.0782 (2.6523) Prec@1 33.594 (42.760) Prec@5 63.281 (67.825) Epoch: [27][4190/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.3112 (2.6524) Prec@1 50.000 (42.755) Prec@5 72.656 (67.824) Epoch: [27][4200/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6444 (2.6527) Prec@1 39.844 (42.747) Prec@5 71.094 (67.821) Epoch: [27][4210/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7879 (2.6529) Prec@1 45.312 (42.746) Prec@5 64.844 (67.816) Epoch: [27][4220/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6965 (2.6531) Prec@1 41.406 (42.745) Prec@5 64.844 (67.810) Epoch: [27][4230/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6539 (2.6530) Prec@1 41.406 (42.741) Prec@5 67.969 (67.811) Epoch: [27][4240/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7765 (2.6530) Prec@1 39.844 (42.741) Prec@5 75.781 (67.816) Epoch: [27][4250/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4077 (2.6528) Prec@1 46.094 (42.745) Prec@5 71.875 (67.818) Epoch: [27][4260/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5528 (2.6531) Prec@1 44.531 (42.742) Prec@5 71.875 (67.814) Epoch: [27][4270/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6687 (2.6533) Prec@1 39.062 (42.741) Prec@5 67.188 (67.814) Epoch: [27][4280/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7459 (2.6534) Prec@1 43.750 (42.740) Prec@5 67.188 (67.812) Epoch: [27][4290/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6358 (2.6533) Prec@1 40.625 (42.740) Prec@5 69.531 (67.815) Epoch: [27][4300/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8321 (2.6532) Prec@1 38.281 (42.740) Prec@5 65.625 (67.817) Epoch: [27][4310/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7420 (2.6535) Prec@1 41.406 (42.737) Prec@5 65.625 (67.815) Epoch: [27][4320/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7482 (2.6534) Prec@1 41.406 (42.736) Prec@5 64.062 (67.815) Epoch: [27][4330/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7775 (2.6534) Prec@1 42.188 (42.739) Prec@5 64.062 (67.814) Epoch: [27][4340/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.3584 (2.6534) Prec@1 48.438 (42.739) Prec@5 73.438 (67.815) Epoch: [27][4350/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.9452 (2.6535) Prec@1 39.844 (42.739) Prec@5 60.938 (67.813) Epoch: [27][4360/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8797 (2.6536) Prec@1 33.594 (42.734) Prec@5 64.062 (67.810) Epoch: [27][4370/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.2096 (2.6535) Prec@1 51.562 (42.737) Prec@5 75.000 (67.812) Epoch: [27][4380/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5954 (2.6535) Prec@1 46.875 (42.735) Prec@5 70.312 (67.814) Epoch: [27][4390/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7457 (2.6534) Prec@1 39.844 (42.738) Prec@5 65.625 (67.815) Epoch: [27][4400/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4574 (2.6533) Prec@1 49.219 (42.739) Prec@5 67.969 (67.817) Epoch: [27][4410/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2149 (2.6531) Prec@1 50.000 (42.742) Prec@5 73.438 (67.821) Epoch: [27][4420/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5494 (2.6531) Prec@1 45.312 (42.740) Prec@5 73.438 (67.821) Epoch: [27][4430/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6196 (2.6530) Prec@1 46.094 (42.746) Prec@5 71.875 (67.824) Epoch: [27][4440/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7583 (2.6532) Prec@1 39.844 (42.739) Prec@5 66.406 (67.820) Epoch: [27][4450/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.3158 (2.6531) Prec@1 49.219 (42.742) Prec@5 75.781 (67.822) Epoch: [27][4460/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6812 (2.6531) Prec@1 37.500 (42.739) Prec@5 66.406 (67.822) Epoch: [27][4470/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6375 (2.6528) Prec@1 42.969 (42.743) Prec@5 67.969 (67.827) Epoch: [27][4480/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7436 (2.6529) Prec@1 40.625 (42.742) Prec@5 67.188 (67.826) Epoch: [27][4490/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8833 (2.6530) Prec@1 43.750 (42.740) Prec@5 58.594 (67.822) Epoch: [27][4500/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6910 (2.6529) Prec@1 45.312 (42.741) Prec@5 68.750 (67.828) Epoch: [27][4510/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4963 (2.6527) Prec@1 42.188 (42.747) Prec@5 70.312 (67.830) Epoch: [27][4520/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6211 (2.6530) Prec@1 37.500 (42.742) Prec@5 71.094 (67.828) Epoch: [27][4530/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4511 (2.6529) Prec@1 42.969 (42.747) Prec@5 71.875 (67.827) Epoch: [27][4540/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8055 (2.6528) Prec@1 40.625 (42.746) Prec@5 66.406 (67.828) Epoch: [27][4550/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8140 (2.6528) Prec@1 35.938 (42.747) Prec@5 64.062 (67.830) Epoch: [27][4560/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.6351 (2.6527) Prec@1 42.188 (42.747) Prec@5 70.312 (67.835) Epoch: [27][4570/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6708 (2.6526) Prec@1 37.500 (42.751) Prec@5 67.188 (67.836) Epoch: [27][4580/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7524 (2.6526) Prec@1 46.875 (42.754) Prec@5 63.281 (67.833) Epoch: [27][4590/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6231 (2.6525) Prec@1 46.094 (42.753) Prec@5 68.750 (67.833) Epoch: [27][4600/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6206 (2.6525) Prec@1 48.438 (42.753) Prec@5 67.969 (67.834) Epoch: [27][4610/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6872 (2.6525) Prec@1 37.500 (42.753) Prec@5 68.750 (67.831) Epoch: [27][4620/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.5013 (2.6527) Prec@1 46.875 (42.753) Prec@5 72.656 (67.831) Epoch: [27][4630/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9948 (2.6527) Prec@1 36.719 (42.750) Prec@5 61.719 (67.827) Epoch: [27][4640/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7985 (2.6529) Prec@1 38.281 (42.746) Prec@5 64.844 (67.825) Epoch: [27][4650/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8159 (2.6528) Prec@1 40.625 (42.747) Prec@5 65.625 (67.827) Epoch: [27][4660/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5897 (2.6527) Prec@1 40.625 (42.750) Prec@5 68.750 (67.828) Epoch: [27][4670/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5168 (2.6528) Prec@1 43.750 (42.749) Prec@5 72.656 (67.829) Epoch: [27][4680/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6071 (2.6527) Prec@1 46.875 (42.751) Prec@5 69.531 (67.833) Epoch: [27][4690/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7055 (2.6527) Prec@1 46.094 (42.754) Prec@5 69.531 (67.832) Epoch: [27][4700/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4124 (2.6526) Prec@1 48.438 (42.754) Prec@5 71.875 (67.831) Epoch: [27][4710/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8138 (2.6527) Prec@1 35.938 (42.751) Prec@5 65.625 (67.828) Epoch: [27][4720/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6768 (2.6528) Prec@1 42.969 (42.749) Prec@5 65.625 (67.825) Epoch: [27][4730/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6258 (2.6527) Prec@1 42.969 (42.751) Prec@5 65.625 (67.826) Epoch: [27][4740/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.7684 (2.6528) Prec@1 42.969 (42.748) Prec@5 68.750 (67.826) Epoch: [27][4750/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9481 (2.6528) Prec@1 36.719 (42.749) Prec@5 61.719 (67.826) Epoch: [27][4760/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5142 (2.6528) Prec@1 42.188 (42.750) Prec@5 70.312 (67.826) Epoch: [27][4770/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6526 (2.6527) Prec@1 39.062 (42.751) Prec@5 64.844 (67.827) Epoch: [27][4780/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0029 (2.6530) Prec@1 40.625 (42.745) Prec@5 60.156 (67.823) Epoch: [27][4790/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7434 (2.6528) Prec@1 40.625 (42.750) Prec@5 64.844 (67.827) Epoch: [27][4800/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.7024 (2.6529) Prec@1 35.156 (42.745) Prec@5 67.188 (67.827) Epoch: [27][4810/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8574 (2.6529) Prec@1 36.719 (42.743) Prec@5 64.844 (67.826) Epoch: [27][4820/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7804 (2.6531) Prec@1 49.219 (42.743) Prec@5 67.969 (67.825) Epoch: [27][4830/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9075 (2.6530) Prec@1 36.719 (42.744) Prec@5 59.375 (67.826) Epoch: [27][4840/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6489 (2.6530) Prec@1 42.188 (42.743) Prec@5 70.312 (67.827) Epoch: [27][4850/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9226 (2.6530) Prec@1 35.156 (42.744) Prec@5 66.406 (67.824) Epoch: [27][4860/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9830 (2.6531) Prec@1 36.719 (42.741) Prec@5 64.844 (67.823) Epoch: [27][4870/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5367 (2.6529) Prec@1 50.000 (42.746) Prec@5 67.969 (67.826) Epoch: [27][4880/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.0242 (2.6532) Prec@1 40.625 (42.743) Prec@5 61.719 (67.824) Epoch: [27][4890/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3665 (2.6530) Prec@1 50.000 (42.742) Prec@5 72.656 (67.829) Epoch: [27][4900/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6624 (2.6531) Prec@1 45.312 (42.738) Prec@5 70.312 (67.827) Epoch: [27][4910/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5242 (2.6531) Prec@1 43.750 (42.738) Prec@5 69.531 (67.825) Epoch: [27][4920/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6622 (2.6532) Prec@1 41.406 (42.739) Prec@5 65.625 (67.826) Epoch: [27][4930/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.3794 (2.6530) Prec@1 42.188 (42.737) Prec@5 74.219 (67.832) Epoch: [27][4940/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 2.7857 (2.6530) Prec@1 37.500 (42.737) Prec@5 65.625 (67.832) Epoch: [27][4950/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7083 (2.6530) Prec@1 40.625 (42.738) Prec@5 65.625 (67.833) Epoch: [27][4960/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7953 (2.6531) Prec@1 40.625 (42.734) Prec@5 62.500 (67.831) Epoch: [27][4970/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9555 (2.6532) Prec@1 39.062 (42.731) Prec@5 63.281 (67.830) Epoch: [27][4980/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3633 (2.6532) Prec@1 50.000 (42.728) Prec@5 72.656 (67.829) Epoch: [27][4990/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4608 (2.6530) Prec@1 46.094 (42.729) Prec@5 67.188 (67.831) Epoch: [27][5000/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5213 (2.6530) Prec@1 38.281 (42.727) Prec@5 67.188 (67.830) Epoch: [27][5010/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7542 (2.6531) Prec@1 35.156 (42.726) Prec@5 67.188 (67.831) Epoch: [27][5020/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5863 (2.6530) Prec@1 46.094 (42.729) Prec@5 74.219 (67.834) Epoch: [27][5030/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4110 (2.6531) Prec@1 46.875 (42.730) Prec@5 72.656 (67.834) Epoch: [27][5040/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.8439 (2.6530) Prec@1 45.312 (42.732) Prec@5 64.062 (67.836) Epoch: [27][5050/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5957 (2.6531) Prec@1 35.938 (42.730) Prec@5 72.656 (67.834) Epoch: [27][5060/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6610 (2.6533) Prec@1 45.312 (42.730) Prec@5 71.094 (67.832) Epoch: [27][5070/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.7388 (2.6535) Prec@1 44.531 (42.727) Prec@5 69.531 (67.829) Epoch: [27][5080/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5935 (2.6536) Prec@1 44.531 (42.728) Prec@5 72.656 (67.828) Epoch: [27][5090/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6686 (2.6537) Prec@1 46.094 (42.728) Prec@5 66.406 (67.828) Epoch: [27][5100/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9693 (2.6540) Prec@1 40.625 (42.725) Prec@5 67.969 (67.826) Epoch: [27][5110/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5655 (2.6540) Prec@1 46.094 (42.724) Prec@5 71.094 (67.828) Epoch: [27][5120/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9089 (2.6540) Prec@1 39.062 (42.720) Prec@5 65.625 (67.824) Epoch: [27][5130/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5734 (2.6540) Prec@1 49.219 (42.725) Prec@5 69.531 (67.823) Epoch: [27][5140/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.3664 (2.6538) Prec@1 49.219 (42.731) Prec@5 73.438 (67.826) Epoch: [27][5150/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 3.0676 (2.6539) Prec@1 40.625 (42.732) Prec@5 60.156 (67.825) Epoch: [27][5160/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8957 (2.6540) Prec@1 35.156 (42.728) Prec@5 65.625 (67.820) Epoch: [27][5170/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0428 (2.6543) Prec@1 40.625 (42.725) Prec@5 65.625 (67.813) Epoch: [27][5180/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5600 (2.6541) Prec@1 45.312 (42.730) Prec@5 68.750 (67.815) Epoch: [27][5190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6770 (2.6541) Prec@1 39.062 (42.729) Prec@5 64.844 (67.813) Epoch: [27][5200/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3176 (2.6540) Prec@1 46.875 (42.732) Prec@5 72.656 (67.815) Epoch: [27][5210/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4755 (2.6541) Prec@1 48.438 (42.729) Prec@5 71.094 (67.815) Epoch: [27][5220/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5328 (2.6540) Prec@1 46.875 (42.734) Prec@5 70.312 (67.814) Epoch: [27][5230/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.0063 (2.6542) Prec@1 40.625 (42.731) Prec@5 60.156 (67.812) Epoch: [27][5240/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6809 (2.6541) Prec@1 42.188 (42.731) Prec@5 73.438 (67.813) Epoch: [27][5250/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5945 (2.6542) Prec@1 45.312 (42.728) Prec@5 68.750 (67.812) Epoch: [27][5260/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1186 (2.6541) Prec@1 53.125 (42.734) Prec@5 74.219 (67.814) Epoch: [27][5270/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4737 (2.6540) Prec@1 51.562 (42.735) Prec@5 67.188 (67.815) Epoch: [27][5280/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.6742 (2.6539) Prec@1 37.500 (42.739) Prec@5 64.062 (67.815) Epoch: [27][5290/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6294 (2.6538) Prec@1 42.188 (42.740) Prec@5 64.844 (67.818) Epoch: [27][5300/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8284 (2.6540) Prec@1 44.531 (42.737) Prec@5 63.281 (67.815) Epoch: [27][5310/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.8062 (2.6540) Prec@1 42.969 (42.736) Prec@5 66.406 (67.814) Epoch: [27][5320/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7448 (2.6542) Prec@1 42.188 (42.732) Prec@5 66.406 (67.810) Epoch: [27][5330/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9618 (2.6542) Prec@1 35.156 (42.731) Prec@5 60.938 (67.806) Epoch: [27][5340/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4600 (2.6546) Prec@1 41.406 (42.724) Prec@5 73.438 (67.801) Epoch: [27][5350/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5481 (2.6546) Prec@1 45.312 (42.723) Prec@5 70.312 (67.800) Epoch: [27][5360/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6211 (2.6546) Prec@1 40.625 (42.725) Prec@5 66.406 (67.800) Epoch: [27][5370/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7007 (2.6546) Prec@1 38.281 (42.724) Prec@5 65.625 (67.799) Epoch: [27][5380/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6710 (2.6546) Prec@1 39.062 (42.726) Prec@5 62.500 (67.799) Epoch: [27][5390/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.2084 (2.6546) Prec@1 50.781 (42.726) Prec@5 74.219 (67.799) Epoch: [27][5400/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6046 (2.6545) Prec@1 47.656 (42.729) Prec@5 70.312 (67.800) Epoch: [27][5410/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0878 (2.6547) Prec@1 36.719 (42.724) Prec@5 60.156 (67.795) Epoch: [27][5420/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6916 (2.6548) Prec@1 44.531 (42.721) Prec@5 64.062 (67.792) Epoch: [27][5430/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.6461 (2.6549) Prec@1 41.406 (42.719) Prec@5 71.094 (67.793) Epoch: [27][5440/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.1289 (2.6550) Prec@1 33.594 (42.714) Prec@5 62.500 (67.792) Epoch: [27][5450/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5862 (2.6549) Prec@1 44.531 (42.717) Prec@5 71.094 (67.794) Epoch: [27][5460/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.2717 (2.6548) Prec@1 53.125 (42.720) Prec@5 73.438 (67.794) Epoch: [27][5470/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7959 (2.6549) Prec@1 39.062 (42.717) Prec@5 60.156 (67.792) Epoch: [27][5480/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.0396 (2.6553) Prec@1 33.594 (42.714) Prec@5 58.594 (67.787) Epoch: [27][5490/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3767 (2.6552) Prec@1 45.312 (42.713) Prec@5 74.219 (67.788) Epoch: [27][5500/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8591 (2.6554) Prec@1 44.531 (42.711) Prec@5 64.062 (67.786) Epoch: [27][5510/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7614 (2.6554) Prec@1 37.500 (42.709) Prec@5 69.531 (67.789) Epoch: [27][5520/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6062 (2.6556) Prec@1 44.531 (42.704) Prec@5 68.750 (67.786) Epoch: [27][5530/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9013 (2.6556) Prec@1 42.188 (42.705) Prec@5 60.938 (67.784) Epoch: [27][5540/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7595 (2.6557) Prec@1 38.281 (42.703) Prec@5 64.844 (67.782) Epoch: [27][5550/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5232 (2.6557) Prec@1 44.531 (42.704) Prec@5 68.750 (67.782) Epoch: [27][5560/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4859 (2.6556) Prec@1 45.312 (42.703) Prec@5 70.312 (67.784) Epoch: [27][5570/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7861 (2.6556) Prec@1 36.719 (42.703) Prec@5 66.406 (67.784) Epoch: [27][5580/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7059 (2.6554) Prec@1 42.188 (42.707) Prec@5 67.969 (67.788) Epoch: [27][5590/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6434 (2.6555) Prec@1 36.719 (42.703) Prec@5 64.062 (67.787) Epoch: [27][5600/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.2484 (2.6554) Prec@1 51.562 (42.706) Prec@5 76.562 (67.791) Epoch: [27][5610/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.3729 (2.6554) Prec@1 43.750 (42.707) Prec@5 70.312 (67.789) Epoch: [27][5620/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1171 (2.6554) Prec@1 53.125 (42.708) Prec@5 78.906 (67.788) Epoch: [27][5630/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4029 (2.6553) Prec@1 42.969 (42.712) Prec@5 75.781 (67.791) Epoch: [27][5640/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5473 (2.6554) Prec@1 46.875 (42.709) Prec@5 67.188 (67.786) Epoch: [27][5650/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6676 (2.6553) Prec@1 44.531 (42.710) Prec@5 67.188 (67.788) Epoch: [27][5660/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8540 (2.6553) Prec@1 37.500 (42.712) Prec@5 63.281 (67.787) Epoch: [27][5670/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.7477 (2.6554) Prec@1 41.406 (42.712) Prec@5 70.312 (67.786) Epoch: [27][5680/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6065 (2.6556) Prec@1 40.625 (42.710) Prec@5 67.969 (67.782) Epoch: [27][5690/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8687 (2.6557) Prec@1 35.156 (42.706) Prec@5 67.188 (67.780) Epoch: [27][5700/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5992 (2.6559) Prec@1 43.750 (42.702) Prec@5 65.625 (67.778) Epoch: [27][5710/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5951 (2.6559) Prec@1 48.438 (42.703) Prec@5 67.188 (67.777) Epoch: [27][5720/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6690 (2.6560) Prec@1 39.062 (42.702) Prec@5 71.094 (67.776) Epoch: [27][5730/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6241 (2.6561) Prec@1 44.531 (42.702) Prec@5 64.062 (67.775) Epoch: [27][5740/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6090 (2.6560) Prec@1 44.531 (42.703) Prec@5 65.625 (67.775) Epoch: [27][5750/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9912 (2.6560) Prec@1 40.625 (42.704) Prec@5 60.156 (67.774) Epoch: [27][5760/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6051 (2.6560) Prec@1 39.844 (42.705) Prec@5 67.188 (67.773) Epoch: [27][5770/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5056 (2.6560) Prec@1 51.562 (42.706) Prec@5 67.969 (67.772) Epoch: [27][5780/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.4636 (2.6558) Prec@1 47.656 (42.707) Prec@5 72.656 (67.775) Epoch: [27][5790/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8815 (2.6557) Prec@1 37.500 (42.706) Prec@5 57.812 (67.774) Epoch: [27][5800/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6300 (2.6556) Prec@1 43.750 (42.706) Prec@5 66.406 (67.777) Epoch: [27][5810/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5818 (2.6556) Prec@1 47.656 (42.705) Prec@5 67.969 (67.777) Epoch: [27][5820/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8765 (2.6558) Prec@1 38.281 (42.699) Prec@5 61.719 (67.771) Epoch: [27][5830/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4894 (2.6560) Prec@1 44.531 (42.697) Prec@5 66.406 (67.769) Epoch: [27][5840/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5756 (2.6559) Prec@1 42.969 (42.697) Prec@5 65.625 (67.768) Epoch: [27][5850/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7658 (2.6560) Prec@1 42.969 (42.696) Prec@5 60.938 (67.769) Epoch: [27][5860/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5836 (2.6560) Prec@1 42.969 (42.697) Prec@5 67.188 (67.770) Epoch: [27][5870/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8572 (2.6560) Prec@1 39.844 (42.698) Prec@5 60.938 (67.768) Epoch: [27][5880/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7485 (2.6560) Prec@1 42.969 (42.697) Prec@5 67.188 (67.770) Epoch: [27][5890/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6368 (2.6561) Prec@1 42.188 (42.696) Prec@5 68.750 (67.768) Epoch: [27][5900/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5526 (2.6561) Prec@1 43.750 (42.698) Prec@5 68.750 (67.769) Epoch: [27][5910/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4002 (2.6561) Prec@1 49.219 (42.696) Prec@5 72.656 (67.769) Epoch: [27][5920/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6623 (2.6561) Prec@1 41.406 (42.699) Prec@5 65.625 (67.767) Epoch: [27][5930/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8233 (2.6559) Prec@1 43.750 (42.702) Prec@5 63.281 (67.769) Epoch: [27][5940/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5013 (2.6558) Prec@1 36.719 (42.702) Prec@5 74.219 (67.772) Epoch: [27][5950/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.8824 (2.6559) Prec@1 37.500 (42.699) Prec@5 58.594 (67.771) Epoch: [27][5960/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4006 (2.6559) Prec@1 47.656 (42.698) Prec@5 74.219 (67.769) Epoch: [27][5970/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8113 (2.6559) Prec@1 45.312 (42.698) Prec@5 63.281 (67.770) Epoch: [27][5980/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8859 (2.6560) Prec@1 37.500 (42.696) Prec@5 59.375 (67.769) Epoch: [27][5990/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7020 (2.6558) Prec@1 35.156 (42.698) Prec@5 66.406 (67.774) Epoch: [27][6000/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7827 (2.6558) Prec@1 37.500 (42.698) Prec@5 64.844 (67.772) Epoch: [27][6010/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6811 (2.6560) Prec@1 43.750 (42.699) Prec@5 70.312 (67.770) Epoch: [27][6020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8977 (2.6560) Prec@1 39.062 (42.700) Prec@5 67.188 (67.771) Epoch: [27][6030/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4703 (2.6560) Prec@1 46.875 (42.700) Prec@5 74.219 (67.774) Epoch: [27][6040/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0197 (2.6558) Prec@1 38.281 (42.701) Prec@5 61.719 (67.773) Epoch: [27][6050/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8823 (2.6559) Prec@1 43.750 (42.702) Prec@5 62.500 (67.772) Epoch: [27][6060/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4745 (2.6559) Prec@1 46.094 (42.705) Prec@5 71.875 (67.774) Epoch: [27][6070/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5175 (2.6559) Prec@1 42.969 (42.705) Prec@5 69.531 (67.776) Epoch: [27][6080/10010] Time 0.325 (0.331) Data 0.002 (0.001) Loss 2.7719 (2.6557) Prec@1 40.625 (42.708) Prec@5 64.062 (67.780) Epoch: [27][6090/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8449 (2.6557) Prec@1 42.188 (42.709) Prec@5 63.281 (67.778) Epoch: [27][6100/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6458 (2.6560) Prec@1 38.281 (42.704) Prec@5 69.531 (67.775) Epoch: [27][6110/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4971 (2.6558) Prec@1 45.312 (42.709) Prec@5 71.875 (67.779) Epoch: [27][6120/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4404 (2.6557) Prec@1 48.438 (42.711) Prec@5 72.656 (67.781) Epoch: [27][6130/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9376 (2.6559) Prec@1 33.594 (42.707) Prec@5 60.156 (67.777) Epoch: [27][6140/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9169 (2.6559) Prec@1 39.844 (42.708) Prec@5 63.281 (67.779) Epoch: [27][6150/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5984 (2.6560) Prec@1 44.531 (42.708) Prec@5 71.875 (67.777) Epoch: [27][6160/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6131 (2.6559) Prec@1 40.625 (42.711) Prec@5 70.312 (67.779) /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: [27][6170/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4940 (2.6558) Prec@1 40.625 (42.711) Prec@5 70.312 (67.782) Epoch: [27][6180/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.2893 (2.6556) Prec@1 46.094 (42.716) Prec@5 74.219 (67.787) Epoch: [27][6190/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4802 (2.6556) Prec@1 41.406 (42.716) Prec@5 71.875 (67.787) Epoch: [27][6200/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7934 (2.6556) Prec@1 39.062 (42.719) Prec@5 64.844 (67.786) Epoch: [27][6210/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4167 (2.6558) Prec@1 46.094 (42.716) Prec@5 74.219 (67.786) Epoch: [27][6220/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.8624 (2.6559) Prec@1 42.969 (42.715) Prec@5 63.281 (67.785) Epoch: [27][6230/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9915 (2.6560) Prec@1 36.719 (42.713) Prec@5 60.156 (67.784) Epoch: [27][6240/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.2420 (2.6559) Prec@1 51.562 (42.715) Prec@5 74.219 (67.786) Epoch: [27][6250/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6833 (2.6559) Prec@1 42.969 (42.715) Prec@5 69.531 (67.782) Epoch: [27][6260/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.6085 (2.6559) Prec@1 50.000 (42.716) Prec@5 64.062 (67.782) Epoch: [27][6270/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6753 (2.6557) Prec@1 37.500 (42.720) Prec@5 67.969 (67.784) Epoch: [27][6280/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5676 (2.6556) Prec@1 46.094 (42.723) Prec@5 69.531 (67.785) Epoch: [27][6290/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8095 (2.6556) Prec@1 35.938 (42.723) Prec@5 65.625 (67.785) Epoch: [27][6300/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7752 (2.6558) Prec@1 41.406 (42.719) Prec@5 69.531 (67.784) Epoch: [27][6310/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9209 (2.6558) Prec@1 42.188 (42.720) Prec@5 66.406 (67.783) Epoch: [27][6320/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0217 (2.6559) Prec@1 42.188 (42.720) Prec@5 64.844 (67.781) Epoch: [27][6330/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8002 (2.6560) Prec@1 37.500 (42.719) Prec@5 67.969 (67.781) Epoch: [27][6340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6276 (2.6559) Prec@1 48.438 (42.723) Prec@5 66.406 (67.782) Epoch: [27][6350/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4669 (2.6558) Prec@1 46.875 (42.724) Prec@5 70.312 (67.786) Epoch: [27][6360/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6225 (2.6558) Prec@1 46.875 (42.725) Prec@5 66.406 (67.787) Epoch: [27][6370/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5250 (2.6557) Prec@1 44.531 (42.725) Prec@5 71.094 (67.786) Epoch: [27][6380/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9133 (2.6557) Prec@1 36.719 (42.723) Prec@5 66.406 (67.786) Epoch: [27][6390/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7682 (2.6557) Prec@1 39.844 (42.721) Prec@5 67.969 (67.787) Epoch: [27][6400/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.2417 (2.6555) Prec@1 45.312 (42.722) Prec@5 71.875 (67.790) Epoch: [27][6410/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7352 (2.6557) Prec@1 40.625 (42.719) Prec@5 65.625 (67.787) Epoch: [27][6420/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8020 (2.6559) Prec@1 32.812 (42.712) Prec@5 62.500 (67.785) Epoch: [27][6430/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3004 (2.6557) Prec@1 51.562 (42.715) Prec@5 71.875 (67.789) Epoch: [27][6440/10010] Time 0.310 (0.331) Data 0.000 (0.001) Loss 2.7097 (2.6559) Prec@1 46.875 (42.711) Prec@5 66.406 (67.784) Epoch: [27][6450/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8771 (2.6561) Prec@1 39.844 (42.710) Prec@5 65.625 (67.781) Epoch: [27][6460/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7452 (2.6561) Prec@1 37.500 (42.709) Prec@5 64.062 (67.779) Epoch: [27][6470/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6148 (2.6562) Prec@1 46.094 (42.709) Prec@5 70.312 (67.778) Epoch: [27][6480/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.1547 (2.6563) Prec@1 35.938 (42.707) Prec@5 58.594 (67.776) Epoch: [27][6490/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7813 (2.6563) Prec@1 39.844 (42.706) Prec@5 63.281 (67.776) Epoch: [27][6500/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6652 (2.6562) Prec@1 43.750 (42.707) Prec@5 65.625 (67.778) Epoch: [27][6510/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3291 (2.6561) Prec@1 40.625 (42.709) Prec@5 73.438 (67.782) Epoch: [27][6520/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4150 (2.6559) Prec@1 50.000 (42.714) Prec@5 72.656 (67.784) Epoch: [27][6530/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6133 (2.6558) Prec@1 44.531 (42.716) Prec@5 66.406 (67.787) Epoch: [27][6540/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7118 (2.6559) Prec@1 50.000 (42.717) Prec@5 66.406 (67.785) Epoch: [27][6550/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4298 (2.6558) Prec@1 45.312 (42.718) Prec@5 72.656 (67.785) Epoch: [27][6560/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8201 (2.6559) Prec@1 43.750 (42.717) Prec@5 67.188 (67.784) Epoch: [27][6570/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8601 (2.6561) Prec@1 38.281 (42.718) Prec@5 60.938 (67.783) Epoch: [27][6580/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5743 (2.6561) Prec@1 40.625 (42.718) Prec@5 69.531 (67.784) Epoch: [27][6590/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8058 (2.6561) Prec@1 43.750 (42.719) Prec@5 64.062 (67.783) Epoch: [27][6600/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6356 (2.6563) Prec@1 40.625 (42.716) Prec@5 69.531 (67.779) Epoch: [27][6610/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6816 (2.6563) Prec@1 46.094 (42.718) Prec@5 67.969 (67.779) Epoch: [27][6620/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.2642 (2.6561) Prec@1 51.562 (42.721) Prec@5 71.094 (67.782) Epoch: [27][6630/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8786 (2.6561) Prec@1 43.750 (42.723) Prec@5 65.625 (67.782) Epoch: [27][6640/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8111 (2.6563) Prec@1 40.625 (42.722) Prec@5 67.188 (67.779) Epoch: [27][6650/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9587 (2.6563) Prec@1 36.719 (42.720) Prec@5 64.844 (67.781) Epoch: [27][6660/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7344 (2.6563) Prec@1 41.406 (42.722) Prec@5 64.844 (67.780) Epoch: [27][6670/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7278 (2.6563) Prec@1 42.188 (42.722) Prec@5 67.188 (67.780) Epoch: [27][6680/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8451 (2.6563) Prec@1 39.062 (42.722) Prec@5 69.531 (67.780) Epoch: [27][6690/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.1254 (2.6566) Prec@1 31.250 (42.715) Prec@5 60.938 (67.777) Epoch: [27][6700/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4858 (2.6567) Prec@1 46.875 (42.715) Prec@5 68.750 (67.776) Epoch: [27][6710/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6865 (2.6568) Prec@1 39.844 (42.713) Prec@5 68.750 (67.776) Epoch: [27][6720/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7753 (2.6569) Prec@1 39.062 (42.713) Prec@5 68.750 (67.776) Epoch: [27][6730/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4223 (2.6569) Prec@1 44.531 (42.711) Prec@5 72.656 (67.777) Epoch: [27][6740/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6790 (2.6570) Prec@1 39.844 (42.711) Prec@5 69.531 (67.775) Epoch: [27][6750/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.3510 (2.6570) Prec@1 46.094 (42.711) Prec@5 72.656 (67.776) Epoch: [27][6760/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.7774 (2.6570) Prec@1 40.625 (42.711) Prec@5 66.406 (67.776) Epoch: [27][6770/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2859 (2.6569) Prec@1 48.438 (42.712) Prec@5 72.656 (67.777) Epoch: [27][6780/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8079 (2.6570) Prec@1 38.281 (42.710) Prec@5 67.969 (67.775) Epoch: [27][6790/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7777 (2.6570) Prec@1 46.094 (42.710) Prec@5 69.531 (67.775) Epoch: [27][6800/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3290 (2.6569) Prec@1 50.000 (42.713) Prec@5 74.219 (67.777) Epoch: [27][6810/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4926 (2.6568) Prec@1 40.625 (42.713) Prec@5 72.656 (67.779) Epoch: [27][6820/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.5685 (2.6569) Prec@1 44.531 (42.711) Prec@5 67.969 (67.776) Epoch: [27][6830/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4291 (2.6568) Prec@1 42.188 (42.714) Prec@5 73.438 (67.775) Epoch: [27][6840/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7710 (2.6568) Prec@1 37.500 (42.714) Prec@5 64.844 (67.776) Epoch: [27][6850/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7527 (2.6567) Prec@1 42.969 (42.715) Prec@5 65.625 (67.776) Epoch: [27][6860/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7913 (2.6568) Prec@1 38.281 (42.714) Prec@5 66.406 (67.776) Epoch: [27][6870/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3431 (2.6566) Prec@1 45.312 (42.716) Prec@5 78.906 (67.782) Epoch: [27][6880/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0879 (2.6567) Prec@1 33.594 (42.715) Prec@5 62.500 (67.781) Epoch: [27][6890/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4704 (2.6566) Prec@1 46.094 (42.718) Prec@5 68.750 (67.783) Epoch: [27][6900/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.4501 (2.6565) Prec@1 42.188 (42.718) Prec@5 75.000 (67.785) Epoch: [27][6910/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6249 (2.6566) Prec@1 37.500 (42.717) Prec@5 67.188 (67.784) Epoch: [27][6920/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8081 (2.6566) Prec@1 39.844 (42.717) Prec@5 67.188 (67.785) Epoch: [27][6930/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5825 (2.6565) Prec@1 40.625 (42.717) Prec@5 64.062 (67.786) Epoch: [27][6940/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6566 (2.6566) Prec@1 41.406 (42.713) Prec@5 64.844 (67.783) Epoch: [27][6950/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.4376 (2.6565) Prec@1 48.438 (42.717) Prec@5 69.531 (67.784) Epoch: [27][6960/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5742 (2.6565) Prec@1 53.125 (42.717) Prec@5 73.438 (67.784) Epoch: [27][6970/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6681 (2.6564) Prec@1 40.625 (42.719) Prec@5 63.281 (67.787) Epoch: [27][6980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6560 (2.6564) Prec@1 45.312 (42.721) Prec@5 69.531 (67.786) Epoch: [27][6990/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1768 (2.6564) Prec@1 50.781 (42.720) Prec@5 73.438 (67.784) Epoch: [27][7000/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 3.1070 (2.6566) Prec@1 33.594 (42.717) Prec@5 65.625 (67.781) Epoch: [27][7010/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5046 (2.6567) Prec@1 43.750 (42.716) Prec@5 67.188 (67.780) Epoch: [27][7020/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6329 (2.6567) Prec@1 44.531 (42.715) Prec@5 68.750 (67.779) Epoch: [27][7030/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6979 (2.6569) Prec@1 39.062 (42.713) Prec@5 67.188 (67.778) /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: [27][7040/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9101 (2.6569) Prec@1 41.406 (42.712) Prec@5 59.375 (67.777) Epoch: [27][7050/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6474 (2.6570) Prec@1 39.844 (42.711) Prec@5 64.844 (67.776) Epoch: [27][7060/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5782 (2.6570) Prec@1 46.875 (42.711) Prec@5 68.750 (67.775) Epoch: [27][7070/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4861 (2.6570) Prec@1 41.406 (42.710) Prec@5 71.875 (67.774) Epoch: [27][7080/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6922 (2.6571) Prec@1 45.312 (42.709) Prec@5 63.281 (67.773) Epoch: [27][7090/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7987 (2.6570) Prec@1 38.281 (42.708) Prec@5 64.844 (67.774) Epoch: [27][7100/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6813 (2.6570) Prec@1 41.406 (42.707) Prec@5 65.625 (67.774) Epoch: [27][7110/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5412 (2.6570) Prec@1 44.531 (42.708) Prec@5 68.750 (67.774) Epoch: [27][7120/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5438 (2.6571) Prec@1 41.406 (42.702) Prec@5 68.750 (67.772) Epoch: [27][7130/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8653 (2.6572) Prec@1 46.875 (42.701) Prec@5 65.625 (67.769) Epoch: [27][7140/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5757 (2.6571) Prec@1 38.281 (42.702) Prec@5 71.094 (67.772) Epoch: [27][7150/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8338 (2.6571) Prec@1 39.844 (42.702) Prec@5 63.281 (67.772) /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: [27][7160/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6589 (2.6572) Prec@1 44.531 (42.701) Prec@5 68.750 (67.770) Epoch: [27][7170/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5317 (2.6571) Prec@1 46.094 (42.704) Prec@5 67.969 (67.770) Epoch: [27][7180/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.6206 (2.6571) Prec@1 42.188 (42.704) Prec@5 70.312 (67.769) Epoch: [27][7190/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7464 (2.6570) Prec@1 42.969 (42.703) Prec@5 61.719 (67.769) Epoch: [27][7200/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6456 (2.6571) Prec@1 42.188 (42.699) Prec@5 65.625 (67.767) Epoch: [27][7210/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 3.1027 (2.6571) Prec@1 38.281 (42.700) Prec@5 64.062 (67.769) Epoch: [27][7220/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7865 (2.6571) Prec@1 37.500 (42.698) Prec@5 64.844 (67.768) Epoch: [27][7230/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8285 (2.6572) Prec@1 43.750 (42.697) Prec@5 63.281 (67.766) Epoch: [27][7240/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7967 (2.6573) Prec@1 42.188 (42.695) Prec@5 65.625 (67.763) Epoch: [27][7250/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4442 (2.6573) Prec@1 42.969 (42.699) Prec@5 72.656 (67.765) Epoch: [27][7260/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5570 (2.6574) Prec@1 43.750 (42.695) Prec@5 68.750 (67.762) Epoch: [27][7270/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4380 (2.6574) Prec@1 39.844 (42.694) Prec@5 74.219 (67.764) Epoch: [27][7280/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6631 (2.6574) Prec@1 43.750 (42.692) Prec@5 69.531 (67.764) Epoch: [27][7290/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6269 (2.6574) Prec@1 41.406 (42.691) Prec@5 70.312 (67.764) Epoch: [27][7300/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.0253 (2.6574) Prec@1 35.938 (42.690) Prec@5 60.156 (67.764) Epoch: [27][7310/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8600 (2.6576) Prec@1 41.406 (42.691) Prec@5 68.750 (67.760) Epoch: [27][7320/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5822 (2.6575) Prec@1 41.406 (42.692) Prec@5 67.188 (67.762) Epoch: [27][7330/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4154 (2.6575) Prec@1 43.750 (42.690) Prec@5 69.531 (67.761) Epoch: [27][7340/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9300 (2.6577) Prec@1 38.281 (42.689) Prec@5 60.938 (67.758) Epoch: [27][7350/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6878 (2.6576) Prec@1 40.625 (42.688) Prec@5 67.188 (67.760) Epoch: [27][7360/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5273 (2.6576) Prec@1 46.875 (42.690) Prec@5 67.188 (67.760) Epoch: [27][7370/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6608 (2.6575) Prec@1 42.969 (42.690) Prec@5 63.281 (67.760) Epoch: [27][7380/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6034 (2.6576) Prec@1 42.188 (42.688) Prec@5 69.531 (67.758) Epoch: [27][7390/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7399 (2.6576) Prec@1 42.969 (42.691) Prec@5 62.500 (67.759) Epoch: [27][7400/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7861 (2.6574) Prec@1 40.625 (42.693) Prec@5 64.062 (67.762) Epoch: [27][7410/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7934 (2.6575) Prec@1 43.750 (42.694) Prec@5 68.750 (67.761) Epoch: [27][7420/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6476 (2.6574) Prec@1 42.969 (42.695) Prec@5 64.844 (67.760) Epoch: [27][7430/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.8408 (2.6574) Prec@1 39.062 (42.697) Prec@5 67.188 (67.763) Epoch: [27][7440/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9661 (2.6574) Prec@1 39.062 (42.697) Prec@5 64.844 (67.763) Epoch: [27][7450/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8616 (2.6574) Prec@1 34.375 (42.696) Prec@5 60.156 (67.761) Epoch: [27][7460/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8581 (2.6576) Prec@1 39.844 (42.694) Prec@5 61.719 (67.757) Epoch: [27][7470/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.0087 (2.6576) Prec@1 42.188 (42.694) Prec@5 60.156 (67.756) Epoch: [27][7480/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6663 (2.6575) Prec@1 47.656 (42.696) Prec@5 69.531 (67.759) Epoch: [27][7490/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5250 (2.6575) Prec@1 43.750 (42.698) Prec@5 71.094 (67.761) Epoch: [27][7500/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.8047 (2.6576) Prec@1 46.094 (42.697) Prec@5 64.062 (67.756) Epoch: [27][7510/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4128 (2.6577) Prec@1 42.188 (42.696) Prec@5 71.875 (67.755) Epoch: [27][7520/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.9633 (2.6578) Prec@1 38.281 (42.696) Prec@5 63.281 (67.754) Epoch: [27][7530/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4604 (2.6577) Prec@1 43.750 (42.697) Prec@5 71.875 (67.755) Epoch: [27][7540/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8017 (2.6578) Prec@1 35.938 (42.693) Prec@5 64.844 (67.753) /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: [27][7550/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6008 (2.6579) Prec@1 40.625 (42.690) Prec@5 70.312 (67.752) Epoch: [27][7560/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6221 (2.6578) Prec@1 41.406 (42.690) Prec@5 67.969 (67.755) Epoch: [27][7570/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5961 (2.6579) Prec@1 44.531 (42.690) Prec@5 73.438 (67.753) Epoch: [27][7580/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9296 (2.6580) Prec@1 41.406 (42.688) Prec@5 65.625 (67.752) Epoch: [27][7590/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4931 (2.6580) Prec@1 48.438 (42.688) Prec@5 67.969 (67.754) Epoch: [27][7600/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6362 (2.6580) Prec@1 40.625 (42.687) Prec@5 70.312 (67.755) Epoch: [27][7610/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6624 (2.6581) Prec@1 40.625 (42.685) Prec@5 67.969 (67.753) Epoch: [27][7620/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5488 (2.6581) Prec@1 46.875 (42.684) Prec@5 71.094 (67.753) Epoch: [27][7630/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6618 (2.6581) Prec@1 37.500 (42.682) Prec@5 71.094 (67.753) Epoch: [27][7640/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5891 (2.6581) Prec@1 38.281 (42.682) Prec@5 67.969 (67.755) Epoch: [27][7650/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.7252 (2.6581) Prec@1 36.719 (42.683) Prec@5 67.969 (67.753) Epoch: [27][7660/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.7328 (2.6581) Prec@1 41.406 (42.681) Prec@5 66.406 (67.753) Epoch: [27][7670/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7484 (2.6580) Prec@1 45.312 (42.680) Prec@5 63.281 (67.755) Epoch: [27][7680/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8708 (2.6581) Prec@1 36.719 (42.678) Prec@5 61.719 (67.755) Epoch: [27][7690/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.8416 (2.6581) Prec@1 41.406 (42.680) Prec@5 65.625 (67.755) Epoch: [27][7700/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5621 (2.6581) Prec@1 43.750 (42.680) Prec@5 73.438 (67.754) Epoch: [27][7710/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.1001 (2.6582) Prec@1 38.281 (42.679) Prec@5 60.156 (67.752) Epoch: [27][7720/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5846 (2.6582) Prec@1 40.625 (42.679) Prec@5 70.312 (67.755) Epoch: [27][7730/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6330 (2.6581) Prec@1 45.312 (42.680) Prec@5 65.625 (67.755) Epoch: [27][7740/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6577 (2.6583) Prec@1 41.406 (42.677) Prec@5 67.188 (67.752) Epoch: [27][7750/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5382 (2.6582) Prec@1 47.656 (42.680) Prec@5 69.531 (67.754) Epoch: [27][7760/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.3729 (2.6581) Prec@1 47.656 (42.678) Prec@5 71.094 (67.755) Epoch: [27][7770/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7470 (2.6581) Prec@1 36.719 (42.678) Prec@5 65.625 (67.755) Epoch: [27][7780/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4223 (2.6580) Prec@1 48.438 (42.678) Prec@5 71.094 (67.756) Epoch: [27][7790/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6662 (2.6580) Prec@1 44.531 (42.678) Prec@5 67.969 (67.757) Epoch: [27][7800/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6836 (2.6579) Prec@1 45.312 (42.680) Prec@5 65.625 (67.758) Epoch: [27][7810/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6219 (2.6580) Prec@1 48.438 (42.678) Prec@5 67.969 (67.758) Epoch: [27][7820/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7153 (2.6580) Prec@1 42.969 (42.677) Prec@5 64.844 (67.758) Epoch: [27][7830/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5292 (2.6581) Prec@1 48.438 (42.678) Prec@5 68.750 (67.755) Epoch: [27][7840/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3899 (2.6581) Prec@1 47.656 (42.677) Prec@5 71.875 (67.756) Epoch: [27][7850/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.9713 (2.6583) Prec@1 36.719 (42.676) Prec@5 60.938 (67.754) Epoch: [27][7860/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4454 (2.6582) Prec@1 44.531 (42.674) Prec@5 68.750 (67.755) Epoch: [27][7870/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7870 (2.6581) Prec@1 46.094 (42.676) Prec@5 66.406 (67.755) Epoch: [27][7880/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6692 (2.6580) Prec@1 44.531 (42.676) Prec@5 67.188 (67.756) Epoch: [27][7890/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5104 (2.6580) Prec@1 46.094 (42.677) Prec@5 66.406 (67.757) Epoch: [27][7900/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.1271 (2.6581) Prec@1 35.156 (42.676) Prec@5 60.156 (67.755) Epoch: [27][7910/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6392 (2.6580) Prec@1 42.188 (42.677) Prec@5 65.625 (67.755) Epoch: [27][7920/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.9881 (2.6581) Prec@1 35.938 (42.675) Prec@5 61.719 (67.754) Epoch: [27][7930/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3546 (2.6579) Prec@1 46.094 (42.676) Prec@5 71.875 (67.755) Epoch: [27][7940/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4909 (2.6579) Prec@1 40.625 (42.675) Prec@5 68.750 (67.755) Epoch: [27][7950/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7969 (2.6579) Prec@1 40.625 (42.676) Prec@5 64.844 (67.754) Epoch: [27][7960/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6649 (2.6579) Prec@1 44.531 (42.677) Prec@5 67.188 (67.754) Epoch: [27][7970/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4956 (2.6579) Prec@1 44.531 (42.678) Prec@5 70.312 (67.755) Epoch: [27][7980/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4692 (2.6578) Prec@1 39.844 (42.680) Prec@5 69.531 (67.757) Epoch: [27][7990/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6894 (2.6580) Prec@1 39.062 (42.678) Prec@5 66.406 (67.755) Epoch: [27][8000/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8581 (2.6581) Prec@1 39.062 (42.678) Prec@5 63.281 (67.754) Epoch: [27][8010/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.5791 (2.6581) Prec@1 41.406 (42.678) Prec@5 67.969 (67.753) Epoch: [27][8020/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9862 (2.6582) Prec@1 35.156 (42.676) Prec@5 59.375 (67.751) Epoch: [27][8030/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6321 (2.6581) Prec@1 41.406 (42.675) Prec@5 66.406 (67.751) Epoch: [27][8040/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6939 (2.6582) Prec@1 39.844 (42.672) Prec@5 70.312 (67.750) Epoch: [27][8050/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.3120 (2.6582) Prec@1 45.312 (42.672) Prec@5 73.438 (67.750) Epoch: [27][8060/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7339 (2.6580) Prec@1 39.844 (42.676) Prec@5 67.188 (67.753) Epoch: [27][8070/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7150 (2.6579) Prec@1 41.406 (42.679) Prec@5 65.625 (67.756) Epoch: [27][8080/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5205 (2.6579) Prec@1 49.219 (42.682) Prec@5 67.188 (67.756) Epoch: [27][8090/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5722 (2.6578) Prec@1 40.625 (42.684) Prec@5 71.094 (67.758) Epoch: [27][8100/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6872 (2.6579) Prec@1 42.188 (42.680) Prec@5 70.312 (67.758) Epoch: [27][8110/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4547 (2.6578) Prec@1 42.969 (42.679) Prec@5 71.875 (67.759) Epoch: [27][8120/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5051 (2.6579) Prec@1 42.188 (42.677) Prec@5 71.094 (67.758) Epoch: [27][8130/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8379 (2.6580) Prec@1 43.750 (42.675) Prec@5 60.938 (67.758) Epoch: [27][8140/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1387 (2.6580) Prec@1 53.125 (42.675) Prec@5 73.438 (67.758) Epoch: [27][8150/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.9501 (2.6579) Prec@1 33.594 (42.675) Prec@5 61.719 (67.759) Epoch: [27][8160/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9992 (2.6579) Prec@1 36.719 (42.676) Prec@5 59.375 (67.758) Epoch: [27][8170/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6148 (2.6579) Prec@1 46.875 (42.676) Prec@5 71.094 (67.757) Epoch: [27][8180/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7329 (2.6578) Prec@1 41.406 (42.677) Prec@5 63.281 (67.758) Epoch: [27][8190/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0861 (2.6579) Prec@1 35.938 (42.676) Prec@5 60.938 (67.757) Epoch: [27][8200/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6177 (2.6579) Prec@1 50.781 (42.676) Prec@5 65.625 (67.756) Epoch: [27][8210/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9729 (2.6579) Prec@1 38.281 (42.676) Prec@5 61.719 (67.757) Epoch: [27][8220/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.8787 (2.6579) Prec@1 39.844 (42.675) Prec@5 65.625 (67.757) Epoch: [27][8230/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7053 (2.6580) Prec@1 44.531 (42.673) Prec@5 62.500 (67.755) Epoch: [27][8240/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5328 (2.6580) Prec@1 46.094 (42.672) Prec@5 68.750 (67.756) Epoch: [27][8250/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7634 (2.6580) Prec@1 45.312 (42.671) Prec@5 64.844 (67.756) Epoch: [27][8260/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.2331 (2.6581) Prec@1 35.156 (42.671) Prec@5 61.719 (67.754) Epoch: [27][8270/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7751 (2.6581) Prec@1 41.406 (42.669) Prec@5 64.062 (67.754) Epoch: [27][8280/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7113 (2.6581) Prec@1 40.625 (42.670) Prec@5 62.500 (67.753) Epoch: [27][8290/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5697 (2.6581) Prec@1 43.750 (42.671) Prec@5 69.531 (67.753) Epoch: [27][8300/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7240 (2.6580) Prec@1 47.656 (42.672) Prec@5 65.625 (67.753) Epoch: [27][8310/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4522 (2.6579) Prec@1 42.188 (42.675) Prec@5 72.656 (67.754) Epoch: [27][8320/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6924 (2.6579) Prec@1 40.625 (42.676) Prec@5 63.281 (67.754) Epoch: [27][8330/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7403 (2.6579) Prec@1 34.375 (42.675) Prec@5 68.750 (67.754) Epoch: [27][8340/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9213 (2.6581) Prec@1 43.750 (42.674) Prec@5 62.500 (67.751) Epoch: [27][8350/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5863 (2.6582) Prec@1 41.406 (42.672) Prec@5 71.094 (67.752) Epoch: [27][8360/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7705 (2.6581) Prec@1 41.406 (42.673) Prec@5 62.500 (67.753) Epoch: [27][8370/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.8504 (2.6580) Prec@1 35.938 (42.675) Prec@5 60.938 (67.754) Epoch: [27][8380/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5275 (2.6580) Prec@1 46.875 (42.676) Prec@5 68.750 (67.756) Epoch: [27][8390/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4606 (2.6580) Prec@1 46.875 (42.675) Prec@5 72.656 (67.757) Epoch: [27][8400/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6688 (2.6579) Prec@1 42.188 (42.674) Prec@5 66.406 (67.759) Epoch: [27][8410/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7888 (2.6580) Prec@1 42.188 (42.674) Prec@5 64.062 (67.758) Epoch: [27][8420/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4269 (2.6580) Prec@1 42.188 (42.675) Prec@5 69.531 (67.759) Epoch: [27][8430/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5497 (2.6579) Prec@1 42.188 (42.675) Prec@5 64.844 (67.758) Epoch: [27][8440/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.3872 (2.6580) Prec@1 49.219 (42.674) Prec@5 76.562 (67.758) Epoch: [27][8450/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8055 (2.6580) Prec@1 35.938 (42.672) Prec@5 65.625 (67.757) Epoch: [27][8460/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8961 (2.6581) Prec@1 43.750 (42.672) Prec@5 66.406 (67.757) Epoch: [27][8470/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6673 (2.6581) Prec@1 45.312 (42.673) Prec@5 68.750 (67.757) Epoch: [27][8480/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5012 (2.6581) Prec@1 46.875 (42.676) Prec@5 71.094 (67.758) Epoch: [27][8490/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.0823 (2.6582) Prec@1 39.062 (42.676) Prec@5 54.688 (67.755) Epoch: [27][8500/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.8503 (2.6582) Prec@1 41.406 (42.674) Prec@5 64.844 (67.754) Epoch: [27][8510/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6974 (2.6582) Prec@1 45.312 (42.674) Prec@5 67.969 (67.753) Epoch: [27][8520/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7618 (2.6582) Prec@1 46.875 (42.675) Prec@5 63.281 (67.756) Epoch: [27][8530/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6539 (2.6582) Prec@1 46.875 (42.676) Prec@5 70.312 (67.755) Epoch: [27][8540/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4212 (2.6583) Prec@1 46.875 (42.674) Prec@5 69.531 (67.754) Epoch: [27][8550/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8492 (2.6583) Prec@1 37.500 (42.673) Prec@5 62.500 (67.753) Epoch: [27][8560/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3431 (2.6583) Prec@1 51.562 (42.672) Prec@5 68.750 (67.753) Epoch: [27][8570/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.9204 (2.6583) Prec@1 39.844 (42.672) Prec@5 63.281 (67.752) Epoch: [27][8580/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.5585 (2.6584) Prec@1 43.750 (42.671) Prec@5 67.188 (67.749) Epoch: [27][8590/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0770 (2.6584) Prec@1 38.281 (42.670) Prec@5 62.500 (67.749) Epoch: [27][8600/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9870 (2.6584) Prec@1 40.625 (42.670) Prec@5 61.719 (67.749) Epoch: [27][8610/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7578 (2.6585) Prec@1 40.625 (42.669) Prec@5 66.406 (67.747) Epoch: [27][8620/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5625 (2.6584) Prec@1 43.750 (42.670) Prec@5 71.094 (67.751) Epoch: [27][8630/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7837 (2.6583) Prec@1 42.969 (42.672) Prec@5 67.188 (67.753) Epoch: [27][8640/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6008 (2.6584) Prec@1 40.625 (42.670) Prec@5 66.406 (67.752) Epoch: [27][8650/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.8540 (2.6584) Prec@1 41.406 (42.669) Prec@5 66.406 (67.752) Epoch: [27][8660/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7119 (2.6584) Prec@1 46.094 (42.669) Prec@5 66.406 (67.752) Epoch: [27][8670/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9358 (2.6585) Prec@1 32.031 (42.668) Prec@5 63.281 (67.752) Epoch: [27][8680/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7794 (2.6586) Prec@1 46.094 (42.665) Prec@5 60.938 (67.749) Epoch: [27][8690/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6650 (2.6587) Prec@1 41.406 (42.662) Prec@5 67.188 (67.749) Epoch: [27][8700/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6701 (2.6586) Prec@1 42.969 (42.663) Prec@5 69.531 (67.749) Epoch: [27][8710/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8074 (2.6587) Prec@1 38.281 (42.662) Prec@5 65.625 (67.749) Epoch: [27][8720/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9397 (2.6586) Prec@1 34.375 (42.663) Prec@5 64.062 (67.752) Epoch: [27][8730/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6942 (2.6587) Prec@1 41.406 (42.662) Prec@5 65.625 (67.750) Epoch: [27][8740/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4376 (2.6587) Prec@1 47.656 (42.661) Prec@5 72.656 (67.751) Epoch: [27][8750/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5472 (2.6588) Prec@1 46.094 (42.659) Prec@5 72.656 (67.752) Epoch: [27][8760/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6098 (2.6588) Prec@1 46.094 (42.660) Prec@5 72.656 (67.752) Epoch: [27][8770/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5185 (2.6587) Prec@1 39.844 (42.659) Prec@5 71.094 (67.753) Epoch: [27][8780/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.2353 (2.6587) Prec@1 48.438 (42.660) Prec@5 74.219 (67.753) Epoch: [27][8790/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6401 (2.6587) Prec@1 42.969 (42.662) Prec@5 61.719 (67.751) Epoch: [27][8800/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0201 (2.6588) Prec@1 28.125 (42.659) Prec@5 64.844 (67.750) Epoch: [27][8810/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.6032 (2.6588) Prec@1 43.750 (42.660) Prec@5 65.625 (67.750) Epoch: [27][8820/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5694 (2.6587) Prec@1 44.531 (42.659) Prec@5 66.406 (67.750) Epoch: [27][8830/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5073 (2.6587) Prec@1 44.531 (42.659) Prec@5 70.312 (67.749) Epoch: [27][8840/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.4702 (2.6588) Prec@1 45.312 (42.657) Prec@5 69.531 (67.748) Epoch: [27][8850/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 3.1967 (2.6590) Prec@1 32.812 (42.654) Prec@5 64.844 (67.744) Epoch: [27][8860/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8548 (2.6590) Prec@1 37.500 (42.654) Prec@5 61.719 (67.743) Epoch: [27][8870/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5442 (2.6589) Prec@1 49.219 (42.657) Prec@5 71.094 (67.744) Epoch: [27][8880/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5035 (2.6589) Prec@1 49.219 (42.658) Prec@5 71.094 (67.743) Epoch: [27][8890/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4699 (2.6589) Prec@1 44.531 (42.656) Prec@5 68.750 (67.743) Epoch: [27][8900/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.6417 (2.6589) Prec@1 42.188 (42.657) Prec@5 67.188 (67.744) Epoch: [27][8910/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5999 (2.6588) Prec@1 41.406 (42.656) Prec@5 65.625 (67.745) Epoch: [27][8920/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.3680 (2.6589) Prec@1 49.219 (42.657) Prec@5 71.094 (67.746) Epoch: [27][8930/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5582 (2.6589) Prec@1 47.656 (42.656) Prec@5 67.188 (67.746) Epoch: [27][8940/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.3196 (2.6590) Prec@1 50.000 (42.656) Prec@5 71.875 (67.745) Epoch: [27][8950/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5920 (2.6590) Prec@1 37.500 (42.655) Prec@5 71.094 (67.744) Epoch: [27][8960/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.3655 (2.6591) Prec@1 46.094 (42.654) Prec@5 71.875 (67.743) Epoch: [27][8970/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5928 (2.6590) Prec@1 46.875 (42.655) Prec@5 67.188 (67.743) Epoch: [27][8980/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4651 (2.6591) Prec@1 42.188 (42.655) Prec@5 71.875 (67.743) Epoch: [27][8990/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5422 (2.6591) Prec@1 39.062 (42.654) Prec@5 70.312 (67.743) Epoch: [27][9000/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6917 (2.6591) Prec@1 40.625 (42.654) Prec@5 68.750 (67.742) Epoch: [27][9010/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.2960 (2.6591) Prec@1 50.781 (42.655) Prec@5 75.000 (67.744) Epoch: [27][9020/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 3.0295 (2.6591) Prec@1 35.938 (42.653) Prec@5 61.719 (67.742) Epoch: [27][9030/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6106 (2.6590) Prec@1 46.875 (42.654) Prec@5 65.625 (67.744) Epoch: [27][9040/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6774 (2.6590) Prec@1 46.094 (42.654) Prec@5 64.062 (67.743) Epoch: [27][9050/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7357 (2.6591) Prec@1 37.500 (42.654) Prec@5 67.188 (67.742) Epoch: [27][9060/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8475 (2.6591) Prec@1 39.844 (42.654) Prec@5 65.625 (67.742) Epoch: [27][9070/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6175 (2.6591) Prec@1 46.094 (42.653) Prec@5 68.750 (67.741) Epoch: [27][9080/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5018 (2.6591) Prec@1 48.438 (42.655) Prec@5 71.875 (67.742) Epoch: [27][9090/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6869 (2.6591) Prec@1 44.531 (42.657) Prec@5 64.844 (67.742) Epoch: [27][9100/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6688 (2.6591) Prec@1 35.156 (42.654) Prec@5 64.844 (67.741) Epoch: [27][9110/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4624 (2.6589) Prec@1 46.094 (42.657) Prec@5 67.188 (67.744) Epoch: [27][9120/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.6872 (2.6589) Prec@1 39.844 (42.657) Prec@5 71.875 (67.745) Epoch: [27][9130/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7325 (2.6588) Prec@1 39.844 (42.659) Prec@5 64.062 (67.747) /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: [27][9140/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 3.0654 (2.6588) Prec@1 40.625 (42.661) Prec@5 67.969 (67.748) Epoch: [27][9150/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7569 (2.6588) Prec@1 38.281 (42.661) Prec@5 66.406 (67.748) Epoch: [27][9160/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5862 (2.6587) Prec@1 45.312 (42.661) Prec@5 67.188 (67.749) Epoch: [27][9170/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7633 (2.6588) Prec@1 40.625 (42.659) Prec@5 64.062 (67.748) Epoch: [27][9180/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.9412 (2.6588) Prec@1 37.500 (42.659) Prec@5 58.594 (67.747) Epoch: [27][9190/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5162 (2.6588) Prec@1 46.875 (42.656) Prec@5 66.406 (67.746) Epoch: [27][9200/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5610 (2.6588) Prec@1 49.219 (42.657) Prec@5 71.094 (67.747) Epoch: [27][9210/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8224 (2.6589) Prec@1 43.750 (42.657) Prec@5 68.750 (67.747) Epoch: [27][9220/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 3.2046 (2.6589) Prec@1 34.375 (42.655) Prec@5 60.156 (67.747) Epoch: [27][9230/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.4498 (2.6589) Prec@1 47.656 (42.656) Prec@5 74.219 (67.747) Epoch: [27][9240/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7188 (2.6589) Prec@1 34.375 (42.656) Prec@5 67.969 (67.746) Epoch: [27][9250/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.8715 (2.6589) Prec@1 39.844 (42.656) Prec@5 64.844 (67.746) Epoch: [27][9260/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4117 (2.6590) Prec@1 40.625 (42.654) Prec@5 72.656 (67.745) Epoch: [27][9270/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9021 (2.6591) Prec@1 41.406 (42.651) Prec@5 61.719 (67.743) Epoch: [27][9280/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7029 (2.6591) Prec@1 42.188 (42.651) Prec@5 67.188 (67.742) Epoch: [27][9290/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.8899 (2.6592) Prec@1 33.594 (42.649) Prec@5 62.500 (67.742) Epoch: [27][9300/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9322 (2.6594) Prec@1 40.625 (42.646) Prec@5 58.594 (67.739) Epoch: [27][9310/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6982 (2.6594) Prec@1 44.531 (42.645) Prec@5 71.094 (67.739) Epoch: [27][9320/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6065 (2.6595) Prec@1 40.625 (42.645) Prec@5 67.969 (67.739) Epoch: [27][9330/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8757 (2.6596) Prec@1 44.531 (42.643) Prec@5 61.719 (67.737) Epoch: [27][9340/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5827 (2.6596) Prec@1 43.750 (42.644) Prec@5 73.438 (67.738) Epoch: [27][9350/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6024 (2.6597) Prec@1 41.406 (42.642) Prec@5 68.750 (67.738) Epoch: [27][9360/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8273 (2.6598) Prec@1 36.719 (42.642) Prec@5 64.844 (67.736) Epoch: [27][9370/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7845 (2.6599) Prec@1 40.625 (42.642) Prec@5 67.969 (67.735) Epoch: [27][9380/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.2811 (2.6599) Prec@1 50.781 (42.643) Prec@5 75.000 (67.735) Epoch: [27][9390/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.4119 (2.6598) Prec@1 45.312 (42.643) Prec@5 69.531 (67.735) Epoch: [27][9400/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.4915 (2.6598) Prec@1 46.875 (42.643) Prec@5 71.875 (67.734) Epoch: [27][9410/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7632 (2.6598) Prec@1 46.094 (42.644) Prec@5 70.312 (67.735) Epoch: [27][9420/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.5506 (2.6598) Prec@1 42.188 (42.644) Prec@5 67.969 (67.734) Epoch: [27][9430/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.5884 (2.6598) Prec@1 44.531 (42.643) Prec@5 71.875 (67.734) Epoch: [27][9440/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0966 (2.6597) Prec@1 56.250 (42.646) Prec@5 75.000 (67.737) Epoch: [27][9450/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6778 (2.6597) Prec@1 33.594 (42.643) Prec@5 69.531 (67.738) Epoch: [27][9460/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6547 (2.6597) Prec@1 50.781 (42.644) Prec@5 69.531 (67.736) Epoch: [27][9470/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4142 (2.6597) Prec@1 46.094 (42.643) Prec@5 72.656 (67.737) Epoch: [27][9480/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7769 (2.6597) Prec@1 41.406 (42.644) Prec@5 64.062 (67.736) Epoch: [27][9490/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8160 (2.6597) Prec@1 39.844 (42.644) Prec@5 64.062 (67.736) Epoch: [27][9500/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6718 (2.6598) Prec@1 51.562 (42.642) Prec@5 68.750 (67.736) Epoch: [27][9510/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8619 (2.6597) Prec@1 41.406 (42.645) Prec@5 60.938 (67.737) Epoch: [27][9520/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9563 (2.6599) Prec@1 37.500 (42.642) Prec@5 65.625 (67.736) Epoch: [27][9530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6070 (2.6599) Prec@1 42.188 (42.642) Prec@5 69.531 (67.736) Epoch: [27][9540/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6412 (2.6599) Prec@1 43.750 (42.643) Prec@5 67.969 (67.735) Epoch: [27][9550/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5117 (2.6600) Prec@1 43.750 (42.641) Prec@5 68.750 (67.733) Epoch: [27][9560/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7764 (2.6600) Prec@1 40.625 (42.640) Prec@5 64.062 (67.733) Epoch: [27][9570/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6423 (2.6601) Prec@1 40.625 (42.640) Prec@5 68.750 (67.732) Epoch: [27][9580/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.4921 (2.6600) Prec@1 50.000 (42.640) Prec@5 65.625 (67.731) Epoch: [27][9590/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5485 (2.6600) Prec@1 45.312 (42.640) Prec@5 69.531 (67.729) Epoch: [27][9600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6418 (2.6601) Prec@1 38.281 (42.636) Prec@5 70.312 (67.727) Epoch: [27][9610/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9810 (2.6601) Prec@1 42.188 (42.636) Prec@5 60.938 (67.729) Epoch: [27][9620/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.5790 (2.6600) Prec@1 40.625 (42.635) Prec@5 66.406 (67.731) Epoch: [27][9630/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.2481 (2.6599) Prec@1 48.438 (42.637) Prec@5 76.562 (67.732) Epoch: [27][9640/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5942 (2.6599) Prec@1 43.750 (42.636) Prec@5 68.750 (67.731) Epoch: [27][9650/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6679 (2.6599) Prec@1 42.188 (42.635) Prec@5 71.875 (67.732) Epoch: [27][9660/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4946 (2.6599) Prec@1 48.438 (42.636) Prec@5 75.000 (67.732) Epoch: [27][9670/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4981 (2.6599) Prec@1 42.969 (42.634) Prec@5 71.875 (67.732) Epoch: [27][9680/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7802 (2.6599) Prec@1 39.062 (42.635) Prec@5 64.844 (67.732) Epoch: [27][9690/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5365 (2.6599) Prec@1 39.844 (42.633) Prec@5 69.531 (67.733) Epoch: [27][9700/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8686 (2.6598) Prec@1 36.719 (42.634) Prec@5 60.938 (67.735) Epoch: [27][9710/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5655 (2.6599) Prec@1 44.531 (42.632) Prec@5 64.844 (67.735) Epoch: [27][9720/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5016 (2.6598) Prec@1 42.969 (42.632) Prec@5 67.969 (67.735) Epoch: [27][9730/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9226 (2.6599) Prec@1 31.250 (42.630) Prec@5 64.844 (67.734) Epoch: [27][9740/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5178 (2.6598) Prec@1 43.750 (42.631) Prec@5 70.312 (67.735) Epoch: [27][9750/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.1686 (2.6598) Prec@1 39.062 (42.633) Prec@5 57.031 (67.736) Epoch: [27][9760/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5317 (2.6598) Prec@1 43.750 (42.633) Prec@5 67.188 (67.735) Epoch: [27][9770/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3906 (2.6599) Prec@1 51.562 (42.632) Prec@5 73.438 (67.733) Epoch: [27][9780/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.5961 (2.6600) Prec@1 46.875 (42.630) Prec@5 72.656 (67.733) Epoch: [27][9790/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5439 (2.6600) Prec@1 48.438 (42.632) Prec@5 71.875 (67.734) Epoch: [27][9800/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5627 (2.6599) Prec@1 43.750 (42.634) Prec@5 64.062 (67.734) Epoch: [27][9810/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7955 (2.6601) Prec@1 42.188 (42.632) Prec@5 64.062 (67.731) Epoch: [27][9820/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.3786 (2.6601) Prec@1 52.344 (42.632) Prec@5 70.312 (67.731) Epoch: [27][9830/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.5164 (2.6601) Prec@1 42.969 (42.633) Prec@5 71.094 (67.733) Epoch: [27][9840/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8340 (2.6600) Prec@1 40.625 (42.634) Prec@5 64.062 (67.733) Epoch: [27][9850/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7530 (2.6599) Prec@1 39.062 (42.635) Prec@5 64.844 (67.733) Epoch: [27][9860/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7435 (2.6600) Prec@1 42.188 (42.633) Prec@5 62.500 (67.734) Epoch: [27][9870/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4075 (2.6599) Prec@1 51.562 (42.636) Prec@5 71.094 (67.736) Epoch: [27][9880/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4338 (2.6599) Prec@1 51.562 (42.634) Prec@5 70.312 (67.734) Epoch: [27][9890/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7711 (2.6599) Prec@1 39.062 (42.634) Prec@5 66.406 (67.733) Epoch: [27][9900/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.3052 (2.6598) Prec@1 46.875 (42.637) Prec@5 75.781 (67.735) Epoch: [27][9910/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7542 (2.6598) Prec@1 42.969 (42.636) Prec@5 64.844 (67.735) Epoch: [27][9920/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7326 (2.6599) Prec@1 36.719 (42.636) Prec@5 68.750 (67.735) Epoch: [27][9930/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6480 (2.6598) Prec@1 43.750 (42.637) Prec@5 67.969 (67.735) Epoch: [27][9940/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7867 (2.6598) Prec@1 42.188 (42.639) Prec@5 63.281 (67.735) Epoch: [27][9950/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6713 (2.6597) Prec@1 41.406 (42.640) Prec@5 65.625 (67.737) Epoch: [27][9960/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5444 (2.6598) Prec@1 42.188 (42.640) Prec@5 71.875 (67.736) Epoch: [27][9970/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6677 (2.6598) Prec@1 48.438 (42.641) Prec@5 70.312 (67.737) Epoch: [27][9980/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4402 (2.6597) Prec@1 42.969 (42.641) Prec@5 75.781 (67.738) Epoch: [27][9990/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6595 (2.6598) Prec@1 43.750 (42.641) Prec@5 68.750 (67.738) Epoch: [27][10000/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6364 (2.6598) Prec@1 42.188 (42.640) Prec@5 67.188 (67.736) Test: [0/391] Time 1.405 (1.405) Loss 1.2610 (1.2610) Prec@1 68.750 (68.750) Prec@5 88.281 (88.281) Test: [10/391] Time 0.167 (0.242) Loss 2.6972 (1.7053) Prec@1 43.750 (58.807) Prec@5 66.406 (83.594) Test: [20/391] Time 0.104 (0.177) Loss 3.0356 (2.2494) Prec@1 42.188 (50.260) Prec@5 68.750 (75.744) Test: [30/391] Time 0.108 (0.154) Loss 2.9552 (2.4225) Prec@1 37.500 (46.825) Prec@5 73.438 (73.311) Test: [40/391] Time 0.105 (0.142) Loss 2.8265 (2.2302) Prec@1 42.188 (51.067) Prec@5 65.625 (75.629) Test: [50/391] Time 0.101 (0.134) Loss 1.4898 (2.1963) Prec@1 61.719 (51.348) Prec@5 85.938 (76.379) Test: [60/391] Time 0.100 (0.130) Loss 1.8102 (2.0714) Prec@1 54.688 (53.496) Prec@5 84.375 (78.035) Test: [70/391] Time 0.108 (0.127) Loss 2.6775 (2.1033) Prec@1 32.031 (51.562) Prec@5 74.219 (77.850) Test: [80/391] Time 0.101 (0.124) Loss 2.1314 (2.1053) Prec@1 56.250 (50.801) Prec@5 76.562 (78.077) Test: [90/391] Time 0.101 (0.122) Loss 2.1689 (2.1333) Prec@1 37.500 (49.828) Prec@5 86.719 (77.782) Test: [100/391] Time 0.106 (0.121) Loss 1.8292 (2.1069) Prec@1 52.344 (49.838) Prec@5 82.031 (78.334) Test: [110/391] Time 0.100 (0.120) Loss 1.8599 (2.0845) Prec@1 46.875 (49.845) Prec@5 82.812 (78.709) Test: [120/391] Time 0.106 (0.118) Loss 1.7810 (2.0644) Prec@1 51.562 (50.394) Prec@5 80.469 (78.932) Test: [130/391] Time 0.103 (0.117) Loss 1.5301 (2.0442) Prec@1 64.062 (50.990) Prec@5 84.375 (79.181) Test: [140/391] Time 0.105 (0.116) Loss 2.6107 (2.0448) Prec@1 37.500 (51.036) Prec@5 71.875 (79.034) Test: [150/391] Time 0.108 (0.116) Loss 2.1478 (2.0568) Prec@1 32.031 (50.792) Prec@5 84.375 (78.844) Test: [160/391] Time 0.106 (0.116) Loss 2.3627 (2.0614) Prec@1 45.312 (50.995) Prec@5 74.219 (78.799) Test: [170/391] Time 0.114 (0.115) Loss 2.6339 (2.0994) Prec@1 39.062 (50.402) Prec@5 76.562 (78.216) Test: [180/391] Time 0.109 (0.115) Loss 3.5475 (2.1421) Prec@1 32.812 (49.793) Prec@5 64.062 (77.590) Test: [190/391] Time 0.106 (0.114) Loss 3.1183 (2.1849) Prec@1 41.406 (49.235) Prec@5 68.750 (76.910) Test: [200/391] Time 0.100 (0.114) Loss 2.9446 (2.2259) Prec@1 32.031 (48.651) Prec@5 59.375 (76.209) Test: [210/391] Time 0.102 (0.114) Loss 2.6831 (2.2524) Prec@1 40.625 (48.178) Prec@5 67.188 (75.774) Test: [220/391] Time 0.109 (0.113) Loss 1.5574 (2.2599) Prec@1 64.844 (48.194) Prec@5 82.031 (75.562) Test: [230/391] Time 0.105 (0.113) Loss 3.6654 (2.2802) Prec@1 24.219 (47.954) Prec@5 50.781 (75.206) Test: [240/391] Time 0.101 (0.113) Loss 2.5752 (2.2901) Prec@1 50.000 (47.880) Prec@5 66.406 (75.006) Test: [250/391] Time 0.105 (0.113) Loss 2.3752 (2.3040) Prec@1 47.656 (47.634) Prec@5 76.562 (74.863) Test: [260/391] Time 0.102 (0.112) Loss 3.6729 (2.3206) Prec@1 26.562 (47.291) Prec@5 50.781 (74.590) Test: [270/391] Time 0.104 (0.112) Loss 3.7647 (2.3318) Prec@1 19.531 (47.186) Prec@5 53.906 (74.360) Test: [280/391] Time 0.107 (0.112) Loss 2.3775 (2.3453) Prec@1 41.406 (46.964) Prec@5 81.250 (74.158) Test: [290/391] Time 0.103 (0.112) Loss 2.7811 (2.3660) Prec@1 32.031 (46.717) Prec@5 68.750 (73.867) Test: [300/391] Time 0.111 (0.112) Loss 1.9142 (2.3778) Prec@1 60.156 (46.605) Prec@5 77.344 (73.627) Test: [310/391] Time 0.109 (0.111) Loss 3.2256 (2.3911) Prec@1 35.156 (46.468) Prec@5 59.375 (73.387) Test: [320/391] Time 0.109 (0.111) Loss 1.8418 (2.3971) Prec@1 54.688 (46.325) Prec@5 82.031 (73.287) Test: [330/391] Time 0.109 (0.111) Loss 3.4186 (2.4253) Prec@1 25.000 (45.877) Prec@5 58.594 (72.833) Test: [340/391] Time 0.106 (0.111) Loss 2.0322 (2.4353) Prec@1 58.594 (45.652) Prec@5 82.031 (72.643) Test: [350/391] Time 0.104 (0.111) Loss 2.1741 (2.4440) Prec@1 57.031 (45.528) Prec@5 76.562 (72.489) Test: [360/391] Time 0.108 (0.111) Loss 2.7640 (2.4561) Prec@1 34.375 (45.328) Prec@5 67.188 (72.308) Test: [370/391] Time 0.111 (0.111) Loss 2.9643 (2.4536) Prec@1 32.812 (45.367) Prec@5 72.656 (72.385) Test: [380/391] Time 0.099 (0.111) Loss 1.9826 (2.4513) Prec@1 54.688 (45.431) Prec@5 82.031 (72.431) Test: [390/391] Time 0.067 (0.110) Loss 4.1800 (2.4380) Prec@1 11.250 (45.732) Prec@5 51.250 (72.612) * Prec@1 45.732 Prec@5 72.612 Epoch: [28][0/10010] Time 2.629 (2.629) Data 2.444 (2.444) Loss 2.6257 (2.6257) Prec@1 41.406 (41.406) Prec@5 65.625 (65.625) Epoch: [28][10/10010] Time 0.323 (0.532) Data 0.001 (0.232) Loss 2.6751 (2.7476) Prec@1 40.625 (40.909) Prec@5 67.969 (65.909) Epoch: [28][20/10010] Time 0.316 (0.431) Data 0.000 (0.122) Loss 2.4564 (2.6939) Prec@1 46.875 (42.262) Prec@5 70.312 (66.704) Epoch: [28][30/10010] Time 0.337 (0.398) Data 0.001 (0.083) Loss 2.4632 (2.6560) Prec@1 46.875 (43.548) Prec@5 69.531 (67.087) Epoch: [28][40/10010] Time 0.315 (0.380) Data 0.000 (0.063) Loss 2.3833 (2.6461) Prec@1 47.656 (43.331) Prec@5 73.438 (67.473) Epoch: [28][50/10010] Time 0.339 (0.369) Data 0.001 (0.050) Loss 2.3664 (2.6421) Prec@1 45.312 (42.770) Prec@5 71.094 (67.463) Epoch: [28][60/10010] Time 0.344 (0.363) Data 0.000 (0.042) Loss 2.6606 (2.6460) Prec@1 50.000 (43.033) Prec@5 67.969 (67.405) Epoch: [28][70/10010] Time 0.341 (0.359) Data 0.000 (0.036) Loss 2.5379 (2.6402) Prec@1 40.625 (43.211) Prec@5 74.219 (67.595) Epoch: [28][80/10010] Time 0.341 (0.355) Data 0.000 (0.032) Loss 2.4310 (2.6436) Prec@1 42.969 (43.075) Prec@5 75.000 (67.795) Epoch: [28][90/10010] Time 0.341 (0.352) Data 0.001 (0.029) Loss 2.5476 (2.6442) Prec@1 48.438 (42.934) Prec@5 74.219 (67.780) Epoch: [28][100/10010] Time 0.337 (0.350) Data 0.000 (0.026) Loss 2.4776 (2.6301) Prec@1 41.406 (43.201) Prec@5 67.188 (67.938) Epoch: [28][110/10010] Time 0.326 (0.349) Data 0.000 (0.023) Loss 2.7412 (2.6331) Prec@1 39.062 (43.060) Prec@5 64.844 (67.800) Epoch: [28][120/10010] Time 0.337 (0.347) Data 0.000 (0.022) Loss 2.5145 (2.6323) Prec@1 45.312 (43.033) Prec@5 64.844 (67.807) Epoch: [28][130/10010] Time 0.330 (0.345) Data 0.000 (0.020) Loss 2.4545 (2.6282) Prec@1 42.188 (43.016) Prec@5 64.844 (67.867) Epoch: [28][140/10010] Time 0.339 (0.344) Data 0.000 (0.019) Loss 2.9578 (2.6343) Prec@1 36.719 (42.996) Prec@5 60.156 (67.736) Epoch: [28][150/10010] Time 0.324 (0.343) Data 0.001 (0.017) Loss 2.6151 (2.6256) Prec@1 42.188 (43.160) Prec@5 69.531 (67.948) Epoch: [28][160/10010] Time 0.327 (0.342) Data 0.000 (0.016) Loss 2.5867 (2.6341) Prec@1 48.438 (43.100) Prec@5 69.531 (67.852) Epoch: [28][170/10010] Time 0.330 (0.341) Data 0.000 (0.015) Loss 2.6655 (2.6431) Prec@1 44.531 (42.969) Prec@5 68.750 (67.644) Epoch: [28][180/10010] Time 0.334 (0.340) Data 0.000 (0.015) Loss 2.9043 (2.6558) Prec@1 39.062 (42.667) Prec@5 62.500 (67.429) Epoch: [28][190/10010] Time 0.332 (0.340) Data 0.000 (0.014) Loss 3.1749 (2.6612) Prec@1 33.594 (42.576) Prec@5 57.812 (67.351) Epoch: [28][200/10010] Time 0.335 (0.339) Data 0.000 (0.013) Loss 2.5881 (2.6571) Prec@1 46.094 (42.712) Prec@5 70.312 (67.417) Epoch: [28][210/10010] Time 0.336 (0.339) Data 0.000 (0.013) Loss 2.7015 (2.6522) Prec@1 40.625 (42.758) Prec@5 66.406 (67.543) Epoch: [28][220/10010] Time 0.344 (0.339) Data 0.000 (0.012) Loss 2.6644 (2.6557) Prec@1 46.094 (42.753) Prec@5 66.406 (67.474) Epoch: [28][230/10010] Time 0.333 (0.339) Data 0.000 (0.012) Loss 2.8709 (2.6558) Prec@1 42.969 (42.786) Prec@5 60.156 (67.465) Epoch: [28][240/10010] Time 0.347 (0.339) Data 0.000 (0.011) Loss 2.3452 (2.6521) Prec@1 46.875 (42.842) Prec@5 71.875 (67.518) Epoch: [28][250/10010] Time 0.325 (0.338) Data 0.000 (0.011) Loss 2.8767 (2.6511) Prec@1 41.406 (42.841) Prec@5 65.625 (67.633) Epoch: [28][260/10010] Time 0.341 (0.338) Data 0.000 (0.010) Loss 2.8549 (2.6478) Prec@1 46.094 (42.912) Prec@5 66.406 (67.675) Epoch: [28][270/10010] Time 0.314 (0.338) Data 0.000 (0.010) Loss 2.7879 (2.6488) Prec@1 38.281 (42.885) Prec@5 63.281 (67.608) Epoch: [28][280/10010] Time 0.322 (0.337) Data 0.001 (0.010) Loss 2.6673 (2.6464) Prec@1 42.969 (42.927) Prec@5 67.969 (67.691) Epoch: [28][290/10010] Time 0.328 (0.337) Data 0.001 (0.009) Loss 2.9160 (2.6484) Prec@1 41.406 (42.923) Prec@5 67.188 (67.676) Epoch: [28][300/10010] Time 0.332 (0.337) Data 0.000 (0.009) Loss 2.9657 (2.6462) Prec@1 38.281 (42.925) Prec@5 60.156 (67.683) Epoch: [28][310/10010] Time 0.313 (0.337) Data 0.000 (0.009) Loss 2.5126 (2.6445) Prec@1 40.625 (42.959) Prec@5 71.094 (67.750) Epoch: [28][320/10010] Time 0.317 (0.336) Data 0.000 (0.008) Loss 2.8533 (2.6472) Prec@1 39.062 (42.864) Prec@5 65.625 (67.674) Epoch: [28][330/10010] Time 0.335 (0.336) Data 0.001 (0.008) Loss 2.4653 (2.6448) Prec@1 46.094 (42.933) Prec@5 69.531 (67.707) Epoch: [28][340/10010] Time 0.345 (0.336) Data 0.000 (0.008) Loss 2.7749 (2.6434) Prec@1 42.188 (42.948) Prec@5 67.188 (67.756) Epoch: [28][350/10010] Time 0.343 (0.336) Data 0.000 (0.008) Loss 2.7194 (2.6416) Prec@1 42.188 (42.962) Prec@5 67.188 (67.784) Epoch: [28][360/10010] Time 0.341 (0.336) Data 0.000 (0.008) Loss 2.4561 (2.6382) Prec@1 48.438 (43.044) Prec@5 69.531 (67.839) Epoch: [28][370/10010] Time 0.323 (0.336) Data 0.001 (0.007) Loss 2.8590 (2.6378) Prec@1 43.750 (43.051) Prec@5 64.844 (67.861) Epoch: [28][380/10010] Time 0.345 (0.336) Data 0.000 (0.007) Loss 2.2844 (2.6349) Prec@1 47.656 (43.098) Prec@5 75.000 (67.881) Epoch: [28][390/10010] Time 0.336 (0.336) Data 0.001 (0.007) Loss 2.3878 (2.6331) Prec@1 46.875 (43.135) Prec@5 75.000 (67.915) Epoch: [28][400/10010] Time 0.320 (0.336) Data 0.000 (0.007) Loss 2.5115 (2.6343) Prec@1 42.969 (43.093) Prec@5 72.656 (67.897) Epoch: [28][410/10010] Time 0.327 (0.336) Data 0.001 (0.007) Loss 2.6987 (2.6319) Prec@1 39.844 (43.100) Prec@5 67.969 (67.952) Epoch: [28][420/10010] Time 0.330 (0.336) Data 0.001 (0.007) Loss 2.8376 (2.6321) Prec@1 41.406 (43.073) Prec@5 64.062 (67.952) Epoch: [28][430/10010] Time 0.321 (0.336) Data 0.000 (0.006) Loss 2.4614 (2.6338) Prec@1 43.750 (43.068) Prec@5 71.875 (67.922) Epoch: [28][440/10010] Time 0.346 (0.335) Data 0.000 (0.006) Loss 2.6390 (2.6339) Prec@1 37.500 (43.061) Prec@5 67.969 (67.921) Epoch: [28][450/10010] Time 0.324 (0.335) Data 0.000 (0.006) Loss 2.8813 (2.6351) Prec@1 40.625 (43.054) Prec@5 70.312 (67.936) Epoch: [28][460/10010] Time 0.340 (0.335) Data 0.000 (0.006) Loss 2.5418 (2.6334) Prec@1 46.094 (43.084) Prec@5 71.875 (67.984) Epoch: [28][470/10010] Time 0.332 (0.335) Data 0.000 (0.006) Loss 2.7982 (2.6337) Prec@1 40.625 (43.080) Prec@5 66.406 (67.965) Epoch: [28][480/10010] Time 0.339 (0.335) Data 0.000 (0.006) Loss 2.4409 (2.6340) Prec@1 50.000 (43.078) Prec@5 75.000 (67.996) Epoch: [28][490/10010] Time 0.327 (0.335) Data 0.000 (0.006) Loss 2.5730 (2.6324) Prec@1 40.625 (43.093) Prec@5 72.656 (68.012) Epoch: [28][500/10010] Time 0.332 (0.335) Data 0.001 (0.006) Loss 2.5393 (2.6338) Prec@1 45.312 (43.086) Prec@5 71.094 (67.991) Epoch: [28][510/10010] Time 0.322 (0.335) Data 0.000 (0.006) Loss 3.0365 (2.6332) Prec@1 36.719 (43.086) Prec@5 65.625 (67.975) Epoch: [28][520/10010] Time 0.322 (0.335) Data 0.000 (0.005) Loss 3.0925 (2.6346) Prec@1 39.062 (43.080) Prec@5 61.719 (67.957) Epoch: [28][530/10010] Time 0.321 (0.335) Data 0.000 (0.005) Loss 2.6721 (2.6340) Prec@1 37.500 (43.057) Prec@5 67.188 (67.981) Epoch: [28][540/10010] Time 0.324 (0.334) Data 0.000 (0.005) Loss 2.7713 (2.6360) Prec@1 41.406 (43.051) Prec@5 67.188 (67.970) Epoch: [28][550/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 2.8295 (2.6342) Prec@1 42.188 (43.092) Prec@5 64.062 (67.982) Epoch: [28][560/10010] Time 0.344 (0.334) Data 0.001 (0.005) Loss 2.5544 (2.6336) Prec@1 42.969 (43.105) Prec@5 70.312 (68.002) Epoch: [28][570/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 2.3469 (2.6344) Prec@1 43.750 (43.101) Prec@5 73.438 (68.013) Epoch: [28][580/10010] Time 0.333 (0.334) Data 0.001 (0.005) Loss 2.8085 (2.6355) Prec@1 37.500 (43.103) Prec@5 68.750 (67.980) Epoch: [28][590/10010] Time 0.331 (0.334) Data 0.000 (0.005) Loss 2.8067 (2.6371) Prec@1 38.281 (43.072) Prec@5 64.844 (67.946) Epoch: [28][600/10010] Time 0.321 (0.334) Data 0.001 (0.005) Loss 2.5904 (2.6355) Prec@1 41.406 (43.125) Prec@5 66.406 (67.945) Epoch: [28][610/10010] Time 0.337 (0.334) Data 0.000 (0.005) Loss 2.3276 (2.6351) Prec@1 52.344 (43.143) Prec@5 71.875 (67.955) Epoch: [28][620/10010] Time 0.323 (0.334) Data 0.001 (0.005) Loss 2.6146 (2.6351) Prec@1 46.094 (43.136) Prec@5 70.312 (67.951) Epoch: [28][630/10010] Time 0.322 (0.334) Data 0.001 (0.005) Loss 2.5532 (2.6346) Prec@1 40.625 (43.130) Prec@5 67.969 (67.950) Epoch: [28][640/10010] Time 0.316 (0.334) Data 0.000 (0.005) Loss 2.3727 (2.6332) Prec@1 47.656 (43.137) Prec@5 72.656 (67.972) Epoch: [28][650/10010] Time 0.341 (0.334) Data 0.000 (0.004) Loss 2.6959 (2.6329) Prec@1 45.312 (43.164) Prec@5 65.625 (67.980) Epoch: [28][660/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.6470 (2.6302) Prec@1 43.750 (43.220) Prec@5 71.875 (68.017) Epoch: [28][670/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 2.6558 (2.6306) Prec@1 39.844 (43.216) Prec@5 71.094 (68.010) Epoch: [28][680/10010] Time 0.315 (0.334) Data 0.001 (0.004) Loss 2.9777 (2.6319) Prec@1 39.062 (43.197) Prec@5 61.719 (67.973) Epoch: [28][690/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 2.6205 (2.6319) Prec@1 44.531 (43.199) Prec@5 75.000 (67.976) Epoch: [28][700/10010] Time 0.331 (0.334) Data 0.000 (0.004) Loss 2.5783 (2.6307) Prec@1 39.844 (43.230) Prec@5 71.875 (68.019) Epoch: [28][710/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 2.7359 (2.6308) Prec@1 46.094 (43.254) Prec@5 65.625 (68.015) Epoch: [28][720/10010] Time 0.340 (0.334) Data 0.000 (0.004) Loss 2.6063 (2.6300) Prec@1 41.406 (43.280) Prec@5 67.188 (68.014) Epoch: [28][730/10010] Time 0.345 (0.334) Data 0.000 (0.004) Loss 2.4871 (2.6286) Prec@1 49.219 (43.289) Prec@5 68.750 (68.031) Epoch: [28][740/10010] Time 0.338 (0.334) Data 0.001 (0.004) Loss 2.4250 (2.6283) Prec@1 47.656 (43.291) Prec@5 71.875 (68.025) Epoch: [28][750/10010] Time 0.321 (0.334) Data 0.000 (0.004) Loss 2.9355 (2.6296) Prec@1 41.406 (43.252) Prec@5 61.719 (68.010) Epoch: [28][760/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 2.7141 (2.6291) Prec@1 42.969 (43.282) Prec@5 69.531 (68.023) Epoch: [28][770/10010] Time 0.329 (0.333) Data 0.000 (0.004) Loss 2.8326 (2.6292) Prec@1 42.188 (43.272) Prec@5 64.844 (68.034) Epoch: [28][780/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 2.7431 (2.6297) Prec@1 37.500 (43.257) Prec@5 64.844 (68.008) /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: [28][790/10010] Time 0.334 (0.333) Data 0.000 (0.004) Loss 2.6585 (2.6312) Prec@1 41.406 (43.223) Prec@5 68.750 (67.987) Epoch: [28][800/10010] Time 0.341 (0.333) Data 0.001 (0.004) Loss 2.6851 (2.6317) Prec@1 38.281 (43.215) Prec@5 67.969 (67.980) Epoch: [28][810/10010] Time 0.343 (0.333) Data 0.000 (0.004) Loss 3.0416 (2.6336) Prec@1 32.812 (43.173) Prec@5 61.719 (67.954) Epoch: [28][820/10010] Time 0.333 (0.333) Data 0.001 (0.004) Loss 3.1988 (2.6341) Prec@1 36.719 (43.174) Prec@5 56.250 (67.957) Epoch: [28][830/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 2.3993 (2.6331) Prec@1 50.781 (43.198) Prec@5 73.438 (67.986) Epoch: [28][840/10010] Time 0.338 (0.333) Data 0.001 (0.004) Loss 2.6445 (2.6332) Prec@1 42.969 (43.205) Prec@5 64.844 (67.992) Epoch: [28][850/10010] Time 0.331 (0.333) Data 0.000 (0.004) Loss 2.5822 (2.6348) Prec@1 46.875 (43.171) Prec@5 65.625 (67.969) Epoch: [28][860/10010] Time 0.326 (0.333) Data 0.000 (0.004) Loss 2.4905 (2.6331) Prec@1 53.125 (43.189) Prec@5 71.094 (68.001) Epoch: [28][870/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.3744 (2.6321) Prec@1 47.656 (43.212) Prec@5 74.219 (68.022) Epoch: [28][880/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 2.5884 (2.6317) Prec@1 41.406 (43.195) Prec@5 71.094 (68.024) Epoch: [28][890/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 3.0201 (2.6311) Prec@1 42.188 (43.219) Prec@5 59.375 (68.040) Epoch: [28][900/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 2.8208 (2.6309) Prec@1 42.969 (43.237) Prec@5 66.406 (68.050) Epoch: [28][910/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.4156 (2.6309) Prec@1 44.531 (43.232) Prec@5 68.750 (68.057) Epoch: [28][920/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.6681 (2.6310) Prec@1 42.969 (43.238) Prec@5 66.406 (68.062) Epoch: [28][930/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.7288 (2.6315) Prec@1 41.406 (43.231) Prec@5 64.844 (68.061) Epoch: [28][940/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.8339 (2.6326) Prec@1 35.156 (43.210) Prec@5 66.406 (68.042) Epoch: [28][950/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.6736 (2.6340) Prec@1 41.406 (43.174) Prec@5 65.625 (68.026) Epoch: [28][960/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.3901 (2.6343) Prec@1 49.219 (43.161) Prec@5 67.188 (68.014) Epoch: [28][970/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 2.3996 (2.6346) Prec@1 46.094 (43.151) Prec@5 72.656 (68.015) Epoch: [28][980/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.9772 (2.6353) Prec@1 30.469 (43.142) Prec@5 60.938 (67.989) Epoch: [28][990/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 2.8626 (2.6349) Prec@1 37.500 (43.159) Prec@5 64.062 (68.004) Epoch: [28][1000/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.7338 (2.6355) Prec@1 40.625 (43.158) Prec@5 64.062 (67.994) Epoch: [28][1010/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.5972 (2.6350) Prec@1 41.406 (43.160) Prec@5 66.406 (67.998) Epoch: [28][1020/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.5328 (2.6356) Prec@1 42.969 (43.151) Prec@5 70.312 (67.981) Epoch: [28][1030/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.6945 (2.6361) Prec@1 46.875 (43.148) Prec@5 65.625 (67.966) Epoch: [28][1040/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 2.6549 (2.6365) Prec@1 44.531 (43.147) Prec@5 65.625 (67.956) Epoch: [28][1050/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 3.2266 (2.6368) Prec@1 42.969 (43.161) Prec@5 60.938 (67.952) Epoch: [28][1060/10010] Time 0.317 (0.333) Data 0.000 (0.003) Loss 2.5769 (2.6364) Prec@1 42.969 (43.155) Prec@5 66.406 (67.955) Epoch: [28][1070/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.6138 (2.6367) Prec@1 43.750 (43.139) Prec@5 68.750 (67.950) Epoch: [28][1080/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 3.0608 (2.6367) Prec@1 36.719 (43.148) Prec@5 60.938 (67.946) Epoch: [28][1090/10010] Time 0.311 (0.332) Data 0.001 (0.003) Loss 2.9745 (2.6375) Prec@1 33.594 (43.133) Prec@5 60.156 (67.937) Epoch: [28][1100/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 2.5405 (2.6367) Prec@1 41.406 (43.161) Prec@5 67.188 (67.948) Epoch: [28][1110/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.7917 (2.6356) Prec@1 39.844 (43.190) Prec@5 63.281 (67.956) /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: [28][1120/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.9303 (2.6367) Prec@1 35.156 (43.168) Prec@5 61.719 (67.937) Epoch: [28][1130/10010] Time 0.314 (0.333) Data 0.001 (0.003) Loss 2.6019 (2.6360) Prec@1 43.750 (43.186) Prec@5 69.531 (67.949) Epoch: [28][1140/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 2.4209 (2.6352) Prec@1 47.656 (43.203) Prec@5 70.312 (67.952) Epoch: [28][1150/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 2.7551 (2.6345) Prec@1 39.062 (43.194) Prec@5 68.750 (67.966) Epoch: [28][1160/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.5832 (2.6340) Prec@1 44.531 (43.206) Prec@5 66.406 (67.975) Epoch: [28][1170/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 2.6618 (2.6340) Prec@1 39.062 (43.204) Prec@5 69.531 (67.968) Epoch: [28][1180/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 2.9165 (2.6353) Prec@1 35.156 (43.192) Prec@5 63.281 (67.958) Epoch: [28][1190/10010] Time 0.316 (0.332) Data 0.001 (0.003) Loss 2.9940 (2.6356) Prec@1 40.625 (43.190) Prec@5 62.500 (67.954) Epoch: [28][1200/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.7700 (2.6355) Prec@1 42.188 (43.192) Prec@5 61.719 (67.958) Epoch: [28][1210/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 3.1955 (2.6361) Prec@1 32.812 (43.172) Prec@5 55.469 (67.941) Epoch: [28][1220/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 2.6899 (2.6360) Prec@1 39.062 (43.166) Prec@5 67.969 (67.937) Epoch: [28][1230/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.4120 (2.6360) Prec@1 46.875 (43.164) Prec@5 75.000 (67.940) Epoch: [28][1240/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 3.2305 (2.6358) Prec@1 38.281 (43.172) Prec@5 54.688 (67.949) Epoch: [28][1250/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 2.5825 (2.6354) Prec@1 42.188 (43.186) Prec@5 64.062 (67.953) Epoch: [28][1260/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 2.4665 (2.6352) Prec@1 44.531 (43.193) Prec@5 72.656 (67.957) Epoch: [28][1270/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.4649 (2.6360) Prec@1 41.406 (43.183) Prec@5 70.312 (67.938) Epoch: [28][1280/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.7668 (2.6358) Prec@1 39.062 (43.186) Prec@5 67.188 (67.960) Epoch: [28][1290/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.6587 (2.6366) Prec@1 42.188 (43.161) Prec@5 69.531 (67.941) Epoch: [28][1300/10010] Time 0.318 (0.332) Data 0.001 (0.003) Loss 2.4653 (2.6367) Prec@1 48.438 (43.150) Prec@5 75.781 (67.946) Epoch: [28][1310/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 2.6934 (2.6359) Prec@1 41.406 (43.169) Prec@5 67.188 (67.959) Epoch: [28][1320/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.3216 (2.6354) Prec@1 46.094 (43.176) Prec@5 75.781 (67.978) Epoch: [28][1330/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.6706 (2.6354) Prec@1 42.188 (43.171) Prec@5 69.531 (67.986) Epoch: [28][1340/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.8176 (2.6352) Prec@1 39.844 (43.162) Prec@5 62.500 (67.996) Epoch: [28][1350/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 3.0107 (2.6354) Prec@1 42.969 (43.159) Prec@5 61.719 (67.990) Epoch: [28][1360/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.4467 (2.6349) Prec@1 48.438 (43.162) Prec@5 75.000 (68.004) Epoch: [28][1370/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 2.7978 (2.6354) Prec@1 41.406 (43.156) Prec@5 71.875 (68.002) Epoch: [28][1380/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.4724 (2.6353) Prec@1 50.000 (43.149) Prec@5 71.094 (68.003) Epoch: [28][1390/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.7159 (2.6352) Prec@1 46.094 (43.156) Prec@5 61.719 (68.008) Epoch: [28][1400/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.5587 (2.6353) Prec@1 42.969 (43.149) Prec@5 67.188 (68.005) Epoch: [28][1410/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 3.1065 (2.6349) Prec@1 35.156 (43.166) Prec@5 61.719 (68.019) Epoch: [28][1420/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.4215 (2.6350) Prec@1 44.531 (43.165) Prec@5 73.438 (68.021) Epoch: [28][1430/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.4662 (2.6345) Prec@1 46.094 (43.172) Prec@5 73.438 (68.035) Epoch: [28][1440/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.3956 (2.6339) Prec@1 39.062 (43.188) Prec@5 71.094 (68.050) Epoch: [28][1450/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.8860 (2.6335) Prec@1 42.188 (43.191) Prec@5 58.594 (68.051) Epoch: [28][1460/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.5213 (2.6333) Prec@1 47.656 (43.184) Prec@5 65.625 (68.054) Epoch: [28][1470/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.5381 (2.6332) Prec@1 46.875 (43.191) Prec@5 69.531 (68.057) Epoch: [28][1480/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.4487 (2.6337) Prec@1 45.312 (43.187) Prec@5 75.000 (68.051) Epoch: [28][1490/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.9180 (2.6335) Prec@1 38.281 (43.193) Prec@5 64.844 (68.058) Epoch: [28][1500/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.5493 (2.6333) Prec@1 49.219 (43.202) Prec@5 68.750 (68.063) Epoch: [28][1510/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.8020 (2.6330) Prec@1 42.188 (43.203) Prec@5 66.406 (68.067) Epoch: [28][1520/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.6376 (2.6328) Prec@1 47.656 (43.203) Prec@5 66.406 (68.068) Epoch: [28][1530/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.7060 (2.6328) Prec@1 43.750 (43.204) Prec@5 64.062 (68.067) Epoch: [28][1540/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.6958 (2.6328) Prec@1 44.531 (43.200) Prec@5 70.312 (68.064) Epoch: [28][1550/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.4841 (2.6325) Prec@1 40.625 (43.197) Prec@5 73.438 (68.068) Epoch: [28][1560/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.6150 (2.6328) Prec@1 42.188 (43.189) Prec@5 70.312 (68.062) Epoch: [28][1570/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.8617 (2.6329) Prec@1 44.531 (43.190) Prec@5 64.844 (68.062) Epoch: [28][1580/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.5564 (2.6324) Prec@1 46.094 (43.191) Prec@5 68.750 (68.079) Epoch: [28][1590/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.5758 (2.6329) Prec@1 48.438 (43.180) Prec@5 70.312 (68.063) Epoch: [28][1600/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 3.1447 (2.6343) Prec@1 34.375 (43.166) Prec@5 59.375 (68.041) Epoch: [28][1610/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.1594 (2.6339) Prec@1 53.125 (43.176) Prec@5 77.344 (68.045) Epoch: [28][1620/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5339 (2.6336) Prec@1 44.531 (43.171) Prec@5 71.875 (68.044) Epoch: [28][1630/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.6408 (2.6331) Prec@1 43.750 (43.190) Prec@5 66.406 (68.055) Epoch: [28][1640/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.8312 (2.6333) Prec@1 37.500 (43.183) Prec@5 63.281 (68.053) Epoch: [28][1650/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.8088 (2.6335) Prec@1 46.875 (43.176) Prec@5 64.844 (68.057) Epoch: [28][1660/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.9842 (2.6341) Prec@1 38.281 (43.162) Prec@5 60.938 (68.040) Epoch: [28][1670/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.4029 (2.6336) Prec@1 50.781 (43.163) Prec@5 74.219 (68.053) Epoch: [28][1680/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.7169 (2.6332) Prec@1 42.188 (43.158) Prec@5 64.062 (68.067) Epoch: [28][1690/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 2.7929 (2.6329) Prec@1 42.188 (43.166) Prec@5 63.281 (68.065) Epoch: [28][1700/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.7742 (2.6326) Prec@1 42.969 (43.181) Prec@5 63.281 (68.068) Epoch: [28][1710/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.7040 (2.6322) Prec@1 42.188 (43.192) Prec@5 69.531 (68.074) Epoch: [28][1720/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.5149 (2.6322) Prec@1 47.656 (43.192) Prec@5 73.438 (68.078) Epoch: [28][1730/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.8692 (2.6324) Prec@1 35.938 (43.189) Prec@5 65.625 (68.073) Epoch: [28][1740/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 3.1473 (2.6326) Prec@1 35.156 (43.190) Prec@5 57.812 (68.066) Epoch: [28][1750/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.6775 (2.6330) Prec@1 42.969 (43.178) Prec@5 67.188 (68.048) Epoch: [28][1760/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.8665 (2.6334) Prec@1 36.719 (43.173) Prec@5 61.719 (68.045) Epoch: [28][1770/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.7263 (2.6335) Prec@1 40.625 (43.171) Prec@5 64.844 (68.044) Epoch: [28][1780/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 3.2041 (2.6332) Prec@1 33.594 (43.181) Prec@5 57.812 (68.051) Epoch: [28][1790/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.6422 (2.6334) Prec@1 45.312 (43.176) Prec@5 67.969 (68.044) Epoch: [28][1800/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 2.7695 (2.6338) Prec@1 43.750 (43.176) Prec@5 64.062 (68.030) Epoch: [28][1810/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.7414 (2.6340) Prec@1 44.531 (43.174) Prec@5 68.750 (68.028) Epoch: [28][1820/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.2540 (2.6335) Prec@1 48.438 (43.189) Prec@5 75.781 (68.037) Epoch: [28][1830/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.5492 (2.6333) Prec@1 47.656 (43.192) Prec@5 71.875 (68.035) Epoch: [28][1840/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.9325 (2.6337) Prec@1 35.938 (43.188) Prec@5 63.281 (68.024) Epoch: [28][1850/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.9172 (2.6336) Prec@1 39.062 (43.186) Prec@5 63.281 (68.032) Epoch: [28][1860/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.4777 (2.6336) Prec@1 48.438 (43.187) Prec@5 71.094 (68.034) Epoch: [28][1870/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.5330 (2.6331) Prec@1 39.844 (43.192) Prec@5 73.438 (68.050) Epoch: [28][1880/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.6359 (2.6330) Prec@1 44.531 (43.188) Prec@5 64.844 (68.053) Epoch: [28][1890/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.7599 (2.6328) Prec@1 41.406 (43.189) Prec@5 64.062 (68.058) Epoch: [28][1900/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.3788 (2.6327) Prec@1 44.531 (43.191) Prec@5 68.750 (68.062) Epoch: [28][1910/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.4721 (2.6333) Prec@1 53.125 (43.192) Prec@5 69.531 (68.053) Epoch: [28][1920/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.7449 (2.6337) Prec@1 41.406 (43.181) Prec@5 69.531 (68.043) Epoch: [28][1930/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.8521 (2.6340) Prec@1 36.719 (43.173) Prec@5 66.406 (68.041) Epoch: [28][1940/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.4469 (2.6337) Prec@1 45.312 (43.175) Prec@5 71.094 (68.044) Epoch: [28][1950/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 2.5155 (2.6337) Prec@1 40.625 (43.172) Prec@5 69.531 (68.050) Epoch: [28][1960/10010] Time 0.346 (0.331) Data 0.001 (0.002) Loss 2.6491 (2.6344) Prec@1 48.438 (43.170) Prec@5 69.531 (68.038) Epoch: [28][1970/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.2015 (2.6343) Prec@1 52.344 (43.176) Prec@5 71.094 (68.039) Epoch: [28][1980/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.5926 (2.6340) Prec@1 46.875 (43.180) Prec@5 71.094 (68.043) Epoch: [28][1990/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 2.6090 (2.6344) Prec@1 44.531 (43.175) Prec@5 68.750 (68.041) Epoch: [28][2000/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.5111 (2.6345) Prec@1 42.188 (43.167) Prec@5 68.750 (68.039) Epoch: [28][2010/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.7968 (2.6349) Prec@1 37.500 (43.155) Prec@5 68.750 (68.038) Epoch: [28][2020/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 2.2797 (2.6348) Prec@1 49.219 (43.161) Prec@5 71.094 (68.033) Epoch: [28][2030/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.2508 (2.6344) Prec@1 50.781 (43.165) Prec@5 78.906 (68.034) Epoch: [28][2040/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.6160 (2.6345) Prec@1 38.281 (43.159) Prec@5 64.844 (68.033) Epoch: [28][2050/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.3250 (2.6338) Prec@1 55.469 (43.177) Prec@5 73.438 (68.048) Epoch: [28][2060/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.4780 (2.6334) Prec@1 44.531 (43.175) Prec@5 71.875 (68.059) Epoch: [28][2070/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.6050 (2.6338) Prec@1 41.406 (43.161) Prec@5 69.531 (68.053) Epoch: [28][2080/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.4634 (2.6341) Prec@1 45.312 (43.157) Prec@5 72.656 (68.047) Epoch: [28][2090/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.3176 (2.6338) Prec@1 48.438 (43.157) Prec@5 71.875 (68.044) Epoch: [28][2100/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.8348 (2.6342) Prec@1 37.500 (43.144) Prec@5 65.625 (68.039) Epoch: [28][2110/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.6819 (2.6341) Prec@1 37.500 (43.139) Prec@5 67.188 (68.038) Epoch: [28][2120/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.4212 (2.6342) Prec@1 51.562 (43.144) Prec@5 71.875 (68.041) Epoch: [28][2130/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.6851 (2.6347) Prec@1 42.969 (43.142) Prec@5 67.188 (68.031) Epoch: [28][2140/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.1537 (2.6347) Prec@1 54.688 (43.142) Prec@5 75.781 (68.027) Epoch: [28][2150/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 2.6095 (2.6349) Prec@1 45.312 (43.139) Prec@5 67.188 (68.018) Epoch: [28][2160/10010] Time 0.316 (0.331) Data 0.001 (0.002) Loss 2.5261 (2.6350) Prec@1 47.656 (43.139) Prec@5 74.219 (68.020) Epoch: [28][2170/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.6446 (2.6350) Prec@1 46.875 (43.138) Prec@5 67.188 (68.017) Epoch: [28][2180/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.8742 (2.6350) Prec@1 39.844 (43.139) Prec@5 58.594 (68.017) Epoch: [28][2190/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.7944 (2.6346) Prec@1 42.969 (43.145) Prec@5 67.188 (68.028) Epoch: [28][2200/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.4569 (2.6344) Prec@1 48.438 (43.149) Prec@5 69.531 (68.033) Epoch: [28][2210/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.5881 (2.6342) Prec@1 39.844 (43.156) Prec@5 70.312 (68.037) Epoch: [28][2220/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.6349 (2.6345) Prec@1 50.000 (43.150) Prec@5 69.531 (68.031) Epoch: [28][2230/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.4375 (2.6342) Prec@1 40.625 (43.159) Prec@5 71.875 (68.036) Epoch: [28][2240/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 2.9725 (2.6345) Prec@1 38.281 (43.153) Prec@5 66.406 (68.030) Epoch: [28][2250/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.3831 (2.6345) Prec@1 47.656 (43.150) Prec@5 71.875 (68.029) Epoch: [28][2260/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.4091 (2.6345) Prec@1 45.312 (43.146) Prec@5 71.094 (68.032) Epoch: [28][2270/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 3.0287 (2.6346) Prec@1 41.406 (43.145) Prec@5 64.844 (68.030) Epoch: [28][2280/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.5293 (2.6349) Prec@1 53.906 (43.150) Prec@5 71.094 (68.031) Epoch: [28][2290/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.5921 (2.6350) Prec@1 42.188 (43.148) Prec@5 68.750 (68.024) Epoch: [28][2300/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.7663 (2.6350) Prec@1 42.969 (43.147) Prec@5 64.062 (68.029) Epoch: [28][2310/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.4919 (2.6348) Prec@1 50.781 (43.151) Prec@5 74.219 (68.035) Epoch: [28][2320/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.7027 (2.6348) Prec@1 42.969 (43.148) Prec@5 67.969 (68.032) Epoch: [28][2330/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.7878 (2.6350) Prec@1 45.312 (43.146) Prec@5 61.719 (68.029) Epoch: [28][2340/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.4210 (2.6349) Prec@1 42.969 (43.144) Prec@5 69.531 (68.030) Epoch: [28][2350/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 3.2535 (2.6353) Prec@1 31.250 (43.133) Prec@5 61.719 (68.028) Epoch: [28][2360/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 3.2110 (2.6357) Prec@1 37.500 (43.130) Prec@5 58.594 (68.018) Epoch: [28][2370/10010] Time 0.332 (0.331) Data 0.002 (0.002) Loss 2.6024 (2.6357) Prec@1 42.969 (43.125) Prec@5 67.969 (68.020) Epoch: [28][2380/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.5015 (2.6361) Prec@1 44.531 (43.115) Prec@5 71.094 (68.014) Epoch: [28][2390/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.5564 (2.6363) Prec@1 43.750 (43.113) Prec@5 67.188 (68.010) Epoch: [28][2400/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 2.8376 (2.6368) Prec@1 39.062 (43.107) Prec@5 63.281 (68.004) Epoch: [28][2410/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.9534 (2.6369) Prec@1 35.938 (43.111) Prec@5 63.281 (68.003) Epoch: [28][2420/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.1761 (2.6371) Prec@1 49.219 (43.110) Prec@5 78.125 (68.002) Epoch: [28][2430/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.8431 (2.6374) Prec@1 42.969 (43.107) Prec@5 64.844 (67.997) Epoch: [28][2440/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 3.0952 (2.6380) Prec@1 36.719 (43.099) Prec@5 60.156 (67.988) Epoch: [28][2450/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.7534 (2.6378) Prec@1 45.312 (43.098) Prec@5 66.406 (67.993) Epoch: [28][2460/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.4866 (2.6380) Prec@1 49.219 (43.095) Prec@5 71.875 (67.988) Epoch: [28][2470/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.5851 (2.6383) Prec@1 43.750 (43.089) Prec@5 64.844 (67.983) Epoch: [28][2480/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 2.8920 (2.6381) Prec@1 39.844 (43.095) Prec@5 58.594 (67.984) Epoch: [28][2490/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.3503 (2.6378) Prec@1 48.438 (43.100) Prec@5 73.438 (67.987) Epoch: [28][2500/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.4889 (2.6375) Prec@1 42.188 (43.103) Prec@5 69.531 (67.989) Epoch: [28][2510/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.2263 (2.6376) Prec@1 50.000 (43.104) Prec@5 72.656 (67.990) Epoch: [28][2520/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 3.1698 (2.6377) Prec@1 37.500 (43.104) Prec@5 60.156 (67.985) Epoch: [28][2530/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.4758 (2.6376) Prec@1 47.656 (43.109) Prec@5 68.750 (67.988) Epoch: [28][2540/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.6278 (2.6376) Prec@1 42.188 (43.107) Prec@5 70.312 (67.986) Epoch: [28][2550/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.5535 (2.6377) Prec@1 36.719 (43.097) Prec@5 65.625 (67.982) Epoch: [28][2560/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.7081 (2.6379) Prec@1 42.969 (43.098) Prec@5 66.406 (67.979) Epoch: [28][2570/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 2.6977 (2.6380) Prec@1 38.281 (43.088) Prec@5 71.875 (67.983) Epoch: [28][2580/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.4896 (2.6376) Prec@1 41.406 (43.087) Prec@5 70.312 (67.991) Epoch: [28][2590/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.8693 (2.6378) Prec@1 41.406 (43.083) Prec@5 64.062 (67.984) Epoch: [28][2600/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.7317 (2.6382) Prec@1 41.406 (43.065) Prec@5 64.062 (67.978) Epoch: [28][2610/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.5153 (2.6379) Prec@1 44.531 (43.072) Prec@5 70.312 (67.985) Epoch: [28][2620/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.3775 (2.6380) Prec@1 52.344 (43.069) Prec@5 72.656 (67.985) Epoch: [28][2630/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.5690 (2.6380) Prec@1 42.188 (43.065) Prec@5 67.969 (67.980) Epoch: [28][2640/10010] Time 0.349 (0.331) Data 0.000 (0.002) Loss 2.7196 (2.6379) Prec@1 42.188 (43.064) Prec@5 70.312 (67.989) Epoch: [28][2650/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.9130 (2.6379) Prec@1 40.625 (43.064) Prec@5 59.375 (67.987) Epoch: [28][2660/10010] Time 0.314 (0.331) Data 0.000 (0.002) Loss 2.8675 (2.6381) Prec@1 38.281 (43.064) Prec@5 64.062 (67.982) Epoch: [28][2670/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.6972 (2.6378) Prec@1 40.625 (43.076) Prec@5 64.844 (67.988) Epoch: [28][2680/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.3049 (2.6380) Prec@1 50.781 (43.073) Prec@5 75.781 (67.987) Epoch: [28][2690/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.6041 (2.6381) Prec@1 42.969 (43.073) Prec@5 65.625 (67.984) Epoch: [28][2700/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.3529 (2.6379) Prec@1 50.000 (43.075) Prec@5 75.000 (67.992) Epoch: [28][2710/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7534 (2.6380) Prec@1 42.969 (43.071) Prec@5 64.844 (67.990) Epoch: [28][2720/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5792 (2.6376) Prec@1 41.406 (43.073) Prec@5 69.531 (67.994) Epoch: [28][2730/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5420 (2.6375) Prec@1 45.312 (43.071) Prec@5 70.312 (67.996) Epoch: [28][2740/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7380 (2.6378) Prec@1 32.812 (43.064) Prec@5 64.062 (67.994) Epoch: [28][2750/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1685 (2.6378) Prec@1 44.531 (43.058) Prec@5 77.344 (67.989) Epoch: [28][2760/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.4426 (2.6376) Prec@1 44.531 (43.059) Prec@5 72.656 (67.998) Epoch: [28][2770/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6623 (2.6380) Prec@1 41.406 (43.049) Prec@5 68.750 (67.989) Epoch: [28][2780/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3751 (2.6381) Prec@1 51.562 (43.050) Prec@5 74.219 (67.990) Epoch: [28][2790/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7940 (2.6384) Prec@1 40.625 (43.044) Prec@5 63.281 (67.984) Epoch: [28][2800/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4590 (2.6383) Prec@1 44.531 (43.044) Prec@5 71.875 (67.989) Epoch: [28][2810/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8678 (2.6381) Prec@1 35.938 (43.051) Prec@5 65.625 (67.989) Epoch: [28][2820/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5309 (2.6382) Prec@1 44.531 (43.050) Prec@5 67.188 (67.988) Epoch: [28][2830/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4493 (2.6381) Prec@1 45.312 (43.051) Prec@5 74.219 (67.993) Epoch: [28][2840/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6693 (2.6387) Prec@1 39.844 (43.041) Prec@5 67.188 (67.981) /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: [28][2850/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6090 (2.6390) Prec@1 40.625 (43.036) Prec@5 67.969 (67.977) Epoch: [28][2860/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7770 (2.6393) Prec@1 45.312 (43.029) Prec@5 64.844 (67.969) Epoch: [28][2870/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3252 (2.6398) Prec@1 51.562 (43.028) Prec@5 71.094 (67.961) Epoch: [28][2880/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7117 (2.6393) Prec@1 40.625 (43.033) Prec@5 68.750 (67.968) Epoch: [28][2890/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5570 (2.6388) Prec@1 46.094 (43.039) Prec@5 71.094 (67.978) Epoch: [28][2900/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6423 (2.6390) Prec@1 42.969 (43.039) Prec@5 67.969 (67.973) Epoch: [28][2910/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.3095 (2.6389) Prec@1 50.781 (43.044) Prec@5 73.438 (67.972) Epoch: [28][2920/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.2659 (2.6385) Prec@1 53.906 (43.047) Prec@5 72.656 (67.979) Epoch: [28][2930/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4198 (2.6388) Prec@1 43.750 (43.042) Prec@5 71.875 (67.972) Epoch: [28][2940/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7245 (2.6387) Prec@1 39.062 (43.040) Prec@5 70.312 (67.977) Epoch: [28][2950/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.6723 (2.6387) Prec@1 46.094 (43.041) Prec@5 69.531 (67.978) Epoch: [28][2960/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7815 (2.6386) Prec@1 42.969 (43.047) Prec@5 65.625 (67.979) Epoch: [28][2970/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5761 (2.6387) Prec@1 42.969 (43.044) Prec@5 71.094 (67.976) Epoch: [28][2980/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8130 (2.6388) Prec@1 39.844 (43.043) Prec@5 60.938 (67.970) Epoch: [28][2990/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8593 (2.6390) Prec@1 37.500 (43.040) Prec@5 63.281 (67.967) Epoch: [28][3000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9619 (2.6393) Prec@1 39.062 (43.036) Prec@5 64.062 (67.961) Epoch: [28][3010/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7669 (2.6396) Prec@1 39.844 (43.030) Prec@5 66.406 (67.955) Epoch: [28][3020/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6455 (2.6395) Prec@1 42.969 (43.029) Prec@5 70.312 (67.956) Epoch: [28][3030/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4197 (2.6395) Prec@1 47.656 (43.030) Prec@5 74.219 (67.954) Epoch: [28][3040/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9803 (2.6397) Prec@1 40.625 (43.019) Prec@5 66.406 (67.957) Epoch: [28][3050/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.3822 (2.6394) Prec@1 42.188 (43.018) Prec@5 71.094 (67.963) Epoch: [28][3060/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6442 (2.6394) Prec@1 41.406 (43.014) Prec@5 66.406 (67.961) Epoch: [28][3070/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8161 (2.6396) Prec@1 38.281 (43.011) Prec@5 64.062 (67.959) Epoch: [28][3080/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5220 (2.6396) Prec@1 48.438 (43.006) Prec@5 69.531 (67.958) Epoch: [28][3090/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6251 (2.6395) Prec@1 42.188 (43.011) Prec@5 67.969 (67.958) Epoch: [28][3100/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3879 (2.6396) Prec@1 46.875 (43.009) Prec@5 71.094 (67.955) Epoch: [28][3110/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9112 (2.6396) Prec@1 46.094 (43.012) Prec@5 62.500 (67.953) Epoch: [28][3120/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2392 (2.6396) Prec@1 54.688 (43.014) Prec@5 73.438 (67.950) Epoch: [28][3130/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6069 (2.6391) Prec@1 40.625 (43.023) Prec@5 67.969 (67.957) Epoch: [28][3140/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6215 (2.6390) Prec@1 40.625 (43.025) Prec@5 67.969 (67.956) Epoch: [28][3150/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7029 (2.6389) Prec@1 45.312 (43.028) Prec@5 66.406 (67.957) Epoch: [28][3160/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8503 (2.6392) Prec@1 38.281 (43.026) Prec@5 60.938 (67.951) Epoch: [28][3170/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4475 (2.6393) Prec@1 48.438 (43.024) Prec@5 72.656 (67.950) Epoch: [28][3180/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5784 (2.6395) Prec@1 43.750 (43.019) Prec@5 69.531 (67.944) Epoch: [28][3190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7924 (2.6394) Prec@1 42.188 (43.026) Prec@5 69.531 (67.946) Epoch: [28][3200/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.4554 (2.6393) Prec@1 42.188 (43.024) Prec@5 68.750 (67.950) Epoch: [28][3210/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.5741 (2.6394) Prec@1 39.844 (43.023) Prec@5 65.625 (67.946) Epoch: [28][3220/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4770 (2.6393) Prec@1 50.000 (43.027) Prec@5 72.656 (67.948) Epoch: [28][3230/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5388 (2.6391) Prec@1 36.719 (43.025) Prec@5 70.312 (67.955) Epoch: [28][3240/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7071 (2.6394) Prec@1 38.281 (43.022) Prec@5 67.188 (67.949) Epoch: [28][3250/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.2939 (2.6391) Prec@1 49.219 (43.028) Prec@5 74.219 (67.951) Epoch: [28][3260/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7063 (2.6391) Prec@1 44.531 (43.032) Prec@5 68.750 (67.955) Epoch: [28][3270/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 3.1053 (2.6392) Prec@1 34.375 (43.033) Prec@5 57.031 (67.951) Epoch: [28][3280/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.9445 (2.6390) Prec@1 39.844 (43.037) Prec@5 65.625 (67.957) Epoch: [28][3290/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5723 (2.6391) Prec@1 39.844 (43.035) Prec@5 65.625 (67.954) Epoch: [28][3300/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9506 (2.6393) Prec@1 42.188 (43.037) Prec@5 65.625 (67.954) Epoch: [28][3310/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.3276 (2.6393) Prec@1 46.875 (43.037) Prec@5 75.781 (67.954) Epoch: [28][3320/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3884 (2.6395) Prec@1 44.531 (43.034) Prec@5 74.219 (67.955) Epoch: [28][3330/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6923 (2.6397) Prec@1 50.000 (43.029) Prec@5 69.531 (67.954) Epoch: [28][3340/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5242 (2.6398) Prec@1 42.969 (43.028) Prec@5 71.094 (67.946) Epoch: [28][3350/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 3.0047 (2.6399) Prec@1 35.938 (43.023) Prec@5 61.719 (67.945) Epoch: [28][3360/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.2715 (2.6403) Prec@1 43.750 (43.020) Prec@5 76.562 (67.941) Epoch: [28][3370/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7285 (2.6406) Prec@1 41.406 (43.019) Prec@5 65.625 (67.938) Epoch: [28][3380/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8787 (2.6407) Prec@1 41.406 (43.016) Prec@5 64.062 (67.937) Epoch: [28][3390/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9547 (2.6406) Prec@1 42.188 (43.015) Prec@5 60.938 (67.942) Epoch: [28][3400/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5969 (2.6407) Prec@1 45.312 (43.011) Prec@5 70.312 (67.946) Epoch: [28][3410/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7444 (2.6406) Prec@1 39.062 (43.007) Prec@5 61.719 (67.946) Epoch: [28][3420/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6195 (2.6407) Prec@1 43.750 (43.006) Prec@5 63.281 (67.942) Epoch: [28][3430/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7704 (2.6405) Prec@1 42.969 (43.007) Prec@5 67.188 (67.944) Epoch: [28][3440/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5566 (2.6404) Prec@1 39.062 (43.007) Prec@5 70.312 (67.946) Epoch: [28][3450/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.8890 (2.6408) Prec@1 42.188 (42.997) Prec@5 63.281 (67.938) Epoch: [28][3460/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7963 (2.6409) Prec@1 39.844 (42.994) Prec@5 68.750 (67.938) Epoch: [28][3470/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8303 (2.6411) Prec@1 44.531 (42.995) Prec@5 61.719 (67.933) Epoch: [28][3480/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.9394 (2.6412) Prec@1 39.844 (42.991) Prec@5 63.281 (67.934) Epoch: [28][3490/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3853 (2.6409) Prec@1 42.969 (42.990) Prec@5 74.219 (67.942) Epoch: [28][3500/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4829 (2.6411) Prec@1 50.781 (42.986) Prec@5 68.750 (67.938) Epoch: [28][3510/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8176 (2.6412) Prec@1 32.812 (42.983) Prec@5 69.531 (67.936) Epoch: [28][3520/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9364 (2.6416) Prec@1 32.812 (42.972) Prec@5 64.062 (67.929) Epoch: [28][3530/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7213 (2.6416) Prec@1 40.625 (42.969) Prec@5 64.844 (67.930) Epoch: [28][3540/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6267 (2.6417) Prec@1 39.844 (42.966) Prec@5 68.750 (67.930) Epoch: [28][3550/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4283 (2.6418) Prec@1 50.000 (42.966) Prec@5 69.531 (67.928) Epoch: [28][3560/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9210 (2.6421) Prec@1 37.500 (42.962) Prec@5 64.062 (67.925) Epoch: [28][3570/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4499 (2.6423) Prec@1 53.125 (42.963) Prec@5 67.969 (67.921) Epoch: [28][3580/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4225 (2.6423) Prec@1 44.531 (42.968) Prec@5 70.312 (67.921) Epoch: [28][3590/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6433 (2.6422) Prec@1 44.531 (42.971) Prec@5 66.406 (67.918) Epoch: [28][3600/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7383 (2.6423) Prec@1 43.750 (42.967) Prec@5 63.281 (67.918) Epoch: [28][3610/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7989 (2.6423) Prec@1 35.938 (42.963) Prec@5 62.500 (67.917) Epoch: [28][3620/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7093 (2.6422) Prec@1 42.188 (42.965) Prec@5 64.844 (67.919) Epoch: [28][3630/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5768 (2.6423) Prec@1 43.750 (42.966) Prec@5 66.406 (67.920) Epoch: [28][3640/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4507 (2.6422) Prec@1 42.188 (42.963) Prec@5 71.094 (67.924) Epoch: [28][3650/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.8643 (2.6425) Prec@1 42.188 (42.961) Prec@5 67.969 (67.922) Epoch: [28][3660/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2986 (2.6424) Prec@1 45.312 (42.962) Prec@5 75.000 (67.924) Epoch: [28][3670/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6136 (2.6424) Prec@1 42.969 (42.962) Prec@5 66.406 (67.922) Epoch: [28][3680/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9168 (2.6420) Prec@1 42.188 (42.963) Prec@5 61.719 (67.928) Epoch: [28][3690/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.3791 (2.6420) Prec@1 50.000 (42.961) Prec@5 75.000 (67.932) Epoch: [28][3700/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6998 (2.6423) Prec@1 41.406 (42.956) Prec@5 69.531 (67.929) Epoch: [28][3710/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 3.2247 (2.6423) Prec@1 37.500 (42.959) Prec@5 60.156 (67.928) Epoch: [28][3720/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8904 (2.6424) Prec@1 41.406 (42.960) Prec@5 64.844 (67.926) Epoch: [28][3730/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5545 (2.6427) Prec@1 44.531 (42.955) Prec@5 73.438 (67.922) Epoch: [28][3740/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.5905 (2.6429) Prec@1 42.969 (42.947) Prec@5 65.625 (67.922) Epoch: [28][3750/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5553 (2.6429) Prec@1 48.438 (42.953) Prec@5 68.750 (67.923) Epoch: [28][3760/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5951 (2.6429) Prec@1 51.562 (42.953) Prec@5 67.188 (67.917) Epoch: [28][3770/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7913 (2.6430) Prec@1 36.719 (42.952) Prec@5 64.062 (67.914) Epoch: [28][3780/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8201 (2.6433) Prec@1 39.844 (42.952) Prec@5 63.281 (67.909) Epoch: [28][3790/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7360 (2.6433) Prec@1 41.406 (42.954) Prec@5 65.625 (67.908) Epoch: [28][3800/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.3752 (2.6431) Prec@1 46.875 (42.957) Prec@5 75.000 (67.911) Epoch: [28][3810/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7250 (2.6431) Prec@1 39.844 (42.955) Prec@5 69.531 (67.915) Epoch: [28][3820/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0283 (2.6434) Prec@1 31.250 (42.948) Prec@5 60.156 (67.909) Epoch: [28][3830/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7982 (2.6432) Prec@1 39.062 (42.949) Prec@5 68.750 (67.914) Epoch: [28][3840/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6889 (2.6435) Prec@1 46.094 (42.943) Prec@5 68.750 (67.909) Epoch: [28][3850/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5838 (2.6435) Prec@1 43.750 (42.947) Prec@5 68.750 (67.910) Epoch: [28][3860/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6534 (2.6434) Prec@1 42.188 (42.954) Prec@5 63.281 (67.909) Epoch: [28][3870/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7230 (2.6440) Prec@1 42.188 (42.945) Prec@5 64.844 (67.900) Epoch: [28][3880/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5189 (2.6442) Prec@1 48.438 (42.943) Prec@5 71.094 (67.899) Epoch: [28][3890/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7133 (2.6447) Prec@1 39.062 (42.934) Prec@5 67.969 (67.893) Epoch: [28][3900/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7057 (2.6447) Prec@1 46.094 (42.934) Prec@5 67.188 (67.894) Epoch: [28][3910/10010] Time 0.309 (0.331) Data 0.001 (0.001) Loss 2.9667 (2.6448) Prec@1 39.844 (42.932) Prec@5 61.719 (67.894) Epoch: [28][3920/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.1415 (2.6451) Prec@1 35.938 (42.933) Prec@5 57.812 (67.886) Epoch: [28][3930/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.8272 (2.6452) Prec@1 39.062 (42.930) Prec@5 64.844 (67.883) Epoch: [28][3940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7365 (2.6452) Prec@1 37.500 (42.927) Prec@5 64.844 (67.881) Epoch: [28][3950/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5242 (2.6451) Prec@1 41.406 (42.930) Prec@5 71.094 (67.883) Epoch: [28][3960/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7078 (2.6450) Prec@1 43.750 (42.935) Prec@5 70.312 (67.887) Epoch: [28][3970/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.9326 (2.6453) Prec@1 34.375 (42.930) Prec@5 61.719 (67.882) Epoch: [28][3980/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9931 (2.6453) Prec@1 37.500 (42.927) Prec@5 63.281 (67.883) Epoch: [28][3990/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 3.0989 (2.6456) Prec@1 38.281 (42.922) Prec@5 55.469 (67.878) Epoch: [28][4000/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6480 (2.6459) Prec@1 46.875 (42.913) Prec@5 64.844 (67.872) Epoch: [28][4010/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5941 (2.6460) Prec@1 46.094 (42.910) Prec@5 71.875 (67.871) Epoch: [28][4020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0065 (2.6463) Prec@1 31.250 (42.902) Prec@5 60.156 (67.867) Epoch: [28][4030/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8027 (2.6464) Prec@1 39.062 (42.901) Prec@5 64.062 (67.863) Epoch: [28][4040/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6463 (2.6464) Prec@1 41.406 (42.901) Prec@5 68.750 (67.866) Epoch: [28][4050/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5506 (2.6464) Prec@1 43.750 (42.901) Prec@5 67.969 (67.867) Epoch: [28][4060/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7874 (2.6468) Prec@1 37.500 (42.892) Prec@5 65.625 (67.859) Epoch: [28][4070/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4463 (2.6468) Prec@1 48.438 (42.892) Prec@5 68.750 (67.859) Epoch: [28][4080/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6103 (2.6469) Prec@1 45.312 (42.896) Prec@5 67.969 (67.860) Epoch: [28][4090/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6711 (2.6468) Prec@1 38.281 (42.897) Prec@5 68.750 (67.861) Epoch: [28][4100/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6571 (2.6469) Prec@1 40.625 (42.891) Prec@5 62.500 (67.858) Epoch: [28][4110/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.3104 (2.6468) Prec@1 46.875 (42.893) Prec@5 71.094 (67.857) Epoch: [28][4120/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6811 (2.6466) Prec@1 40.625 (42.892) Prec@5 67.188 (67.860) Epoch: [28][4130/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4755 (2.6466) Prec@1 46.875 (42.891) Prec@5 71.875 (67.862) Epoch: [28][4140/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6238 (2.6466) Prec@1 43.750 (42.892) Prec@5 67.969 (67.863) Epoch: [28][4150/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5241 (2.6464) Prec@1 46.875 (42.899) Prec@5 67.188 (67.867) Epoch: [28][4160/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5780 (2.6465) Prec@1 42.188 (42.897) Prec@5 67.969 (67.867) Epoch: [28][4170/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6525 (2.6467) Prec@1 39.062 (42.892) Prec@5 67.969 (67.863) Epoch: [28][4180/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5906 (2.6465) Prec@1 42.188 (42.895) Prec@5 64.062 (67.865) /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: [28][4190/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7970 (2.6465) Prec@1 44.531 (42.896) Prec@5 66.406 (67.865) Epoch: [28][4200/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5574 (2.6466) Prec@1 41.406 (42.898) Prec@5 65.625 (67.863) Epoch: [28][4210/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.2890 (2.6465) Prec@1 50.781 (42.900) Prec@5 72.656 (67.863) Epoch: [28][4220/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5513 (2.6465) Prec@1 43.750 (42.903) Prec@5 68.750 (67.862) Epoch: [28][4230/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4996 (2.6463) Prec@1 46.875 (42.904) Prec@5 71.094 (67.864) Epoch: [28][4240/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5720 (2.6462) Prec@1 41.406 (42.906) Prec@5 70.312 (67.865) Epoch: [28][4250/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8376 (2.6463) Prec@1 36.719 (42.905) Prec@5 64.062 (67.866) Epoch: [28][4260/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7761 (2.6462) Prec@1 39.844 (42.905) Prec@5 66.406 (67.865) Epoch: [28][4270/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6216 (2.6463) Prec@1 42.969 (42.905) Prec@5 62.500 (67.864) Epoch: [28][4280/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.2050 (2.6465) Prec@1 39.062 (42.905) Prec@5 55.469 (67.859) Epoch: [28][4290/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4084 (2.6465) Prec@1 46.875 (42.902) Prec@5 71.094 (67.859) Epoch: [28][4300/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.6131 (2.6465) Prec@1 43.750 (42.902) Prec@5 69.531 (67.862) Epoch: [28][4310/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5817 (2.6463) Prec@1 45.312 (42.906) Prec@5 73.438 (67.865) Epoch: [28][4320/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7970 (2.6465) Prec@1 46.875 (42.905) Prec@5 65.625 (67.864) Epoch: [28][4330/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.6172 (2.6463) Prec@1 43.750 (42.907) Prec@5 70.312 (67.868) Epoch: [28][4340/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4717 (2.6461) Prec@1 46.094 (42.913) Prec@5 69.531 (67.870) Epoch: [28][4350/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7375 (2.6460) Prec@1 42.188 (42.917) Prec@5 65.625 (67.871) Epoch: [28][4360/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7097 (2.6460) Prec@1 41.406 (42.916) Prec@5 66.406 (67.871) Epoch: [28][4370/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7667 (2.6461) Prec@1 39.062 (42.917) Prec@5 64.844 (67.872) Epoch: [28][4380/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9113 (2.6463) Prec@1 44.531 (42.917) Prec@5 64.062 (67.869) Epoch: [28][4390/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9610 (2.6465) Prec@1 35.938 (42.914) Prec@5 60.938 (67.869) Epoch: [28][4400/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7453 (2.6469) Prec@1 39.062 (42.906) Prec@5 68.750 (67.863) Epoch: [28][4410/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5777 (2.6466) Prec@1 45.312 (42.913) Prec@5 66.406 (67.868) Epoch: [28][4420/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6795 (2.6470) Prec@1 39.062 (42.908) Prec@5 65.625 (67.863) Epoch: [28][4430/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5132 (2.6471) Prec@1 45.312 (42.904) Prec@5 69.531 (67.863) Epoch: [28][4440/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7173 (2.6469) Prec@1 42.969 (42.907) Prec@5 67.969 (67.866) Epoch: [28][4450/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4491 (2.6468) Prec@1 51.562 (42.909) Prec@5 71.094 (67.867) Epoch: [28][4460/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5351 (2.6468) Prec@1 44.531 (42.912) Prec@5 70.312 (67.867) Epoch: [28][4470/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9718 (2.6468) Prec@1 42.969 (42.917) Prec@5 60.156 (67.868) Epoch: [28][4480/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9340 (2.6470) Prec@1 42.188 (42.909) Prec@5 61.719 (67.866) Epoch: [28][4490/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.4904 (2.6471) Prec@1 45.312 (42.912) Prec@5 71.875 (67.867) Epoch: [28][4500/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8156 (2.6473) Prec@1 32.031 (42.909) Prec@5 64.844 (67.863) Epoch: [28][4510/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5241 (2.6475) Prec@1 50.000 (42.908) Prec@5 70.312 (67.858) Epoch: [28][4520/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 3.0020 (2.6475) Prec@1 39.844 (42.904) Prec@5 60.938 (67.858) Epoch: [28][4530/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5480 (2.6476) Prec@1 42.188 (42.903) Prec@5 70.312 (67.857) Epoch: [28][4540/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6485 (2.6476) Prec@1 37.500 (42.905) Prec@5 71.875 (67.856) Epoch: [28][4550/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6577 (2.6476) Prec@1 42.188 (42.903) Prec@5 67.188 (67.855) Epoch: [28][4560/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7031 (2.6478) Prec@1 39.844 (42.905) Prec@5 68.750 (67.850) Epoch: [28][4570/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5334 (2.6477) Prec@1 47.656 (42.909) Prec@5 72.656 (67.852) Epoch: [28][4580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7195 (2.6478) Prec@1 42.969 (42.907) Prec@5 66.406 (67.850) Epoch: [28][4590/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7344 (2.6479) Prec@1 41.406 (42.905) Prec@5 69.531 (67.848) Epoch: [28][4600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.3248 (2.6478) Prec@1 50.000 (42.907) Prec@5 73.438 (67.850) Epoch: [28][4610/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3630 (2.6478) Prec@1 56.250 (42.906) Prec@5 72.656 (67.851) Epoch: [28][4620/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.6343 (2.6478) Prec@1 44.531 (42.909) Prec@5 68.750 (67.853) Epoch: [28][4630/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4003 (2.6479) Prec@1 52.344 (42.910) Prec@5 73.438 (67.849) Epoch: [28][4640/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4230 (2.6478) Prec@1 46.094 (42.911) Prec@5 74.219 (67.853) Epoch: [28][4650/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.7168 (2.6477) Prec@1 39.844 (42.916) Prec@5 64.844 (67.856) Epoch: [28][4660/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5012 (2.6475) Prec@1 40.625 (42.920) Prec@5 73.438 (67.858) Epoch: [28][4670/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7332 (2.6478) Prec@1 35.938 (42.914) Prec@5 67.969 (67.856) Epoch: [28][4680/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5825 (2.6480) Prec@1 41.406 (42.912) Prec@5 67.188 (67.852) Epoch: [28][4690/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.0264 (2.6481) Prec@1 39.844 (42.910) Prec@5 59.375 (67.851) Epoch: [28][4700/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5396 (2.6482) Prec@1 50.000 (42.909) Prec@5 65.625 (67.852) Epoch: [28][4710/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1906 (2.6482) Prec@1 42.969 (42.907) Prec@5 72.656 (67.851) Epoch: [28][4720/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7995 (2.6483) Prec@1 35.156 (42.902) Prec@5 62.500 (67.849) Epoch: [28][4730/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4536 (2.6482) Prec@1 50.000 (42.906) Prec@5 69.531 (67.849) Epoch: [28][4740/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5804 (2.6480) Prec@1 46.094 (42.908) Prec@5 69.531 (67.850) Epoch: [28][4750/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4704 (2.6479) Prec@1 47.656 (42.908) Prec@5 70.312 (67.853) Epoch: [28][4760/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.9415 (2.6479) Prec@1 36.719 (42.905) Prec@5 63.281 (67.852) Epoch: [28][4770/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3808 (2.6480) Prec@1 50.781 (42.903) Prec@5 72.656 (67.850) Epoch: [28][4780/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5955 (2.6481) Prec@1 40.625 (42.900) Prec@5 71.094 (67.850) Epoch: [28][4790/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6368 (2.6482) Prec@1 45.312 (42.900) Prec@5 65.625 (67.850) Epoch: [28][4800/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4767 (2.6481) Prec@1 43.750 (42.901) Prec@5 68.750 (67.852) Epoch: [28][4810/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5606 (2.6478) Prec@1 46.094 (42.904) Prec@5 69.531 (67.857) Epoch: [28][4820/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6215 (2.6477) Prec@1 45.312 (42.907) Prec@5 70.312 (67.860) Epoch: [28][4830/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6793 (2.6479) Prec@1 45.312 (42.908) Prec@5 68.750 (67.856) Epoch: [28][4840/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5192 (2.6478) Prec@1 43.750 (42.908) Prec@5 65.625 (67.856) Epoch: [28][4850/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.1675 (2.6479) Prec@1 32.812 (42.904) Prec@5 64.844 (67.854) Epoch: [28][4860/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7983 (2.6481) Prec@1 37.500 (42.904) Prec@5 62.500 (67.854) Epoch: [28][4870/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4820 (2.6481) Prec@1 46.094 (42.902) Prec@5 74.219 (67.856) Epoch: [28][4880/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7334 (2.6481) Prec@1 41.406 (42.898) Prec@5 66.406 (67.859) Epoch: [28][4890/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6749 (2.6483) Prec@1 42.188 (42.892) Prec@5 67.188 (67.854) Epoch: [28][4900/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7733 (2.6484) Prec@1 38.281 (42.887) Prec@5 64.844 (67.848) Epoch: [28][4910/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.3893 (2.6485) Prec@1 36.719 (42.883) Prec@5 75.781 (67.847) Epoch: [28][4920/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7605 (2.6483) Prec@1 37.500 (42.881) Prec@5 65.625 (67.851) Epoch: [28][4930/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7333 (2.6483) Prec@1 41.406 (42.882) Prec@5 64.844 (67.853) Epoch: [28][4940/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7941 (2.6484) Prec@1 37.500 (42.879) Prec@5 65.625 (67.849) Epoch: [28][4950/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9083 (2.6484) Prec@1 39.062 (42.880) Prec@5 64.844 (67.852) Epoch: [28][4960/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4560 (2.6486) Prec@1 39.844 (42.876) Prec@5 71.094 (67.847) Epoch: [28][4970/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7507 (2.6487) Prec@1 39.062 (42.872) Prec@5 60.938 (67.846) Epoch: [28][4980/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8031 (2.6489) Prec@1 39.062 (42.869) Prec@5 65.625 (67.842) Epoch: [28][4990/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5125 (2.6489) Prec@1 44.531 (42.870) Prec@5 67.969 (67.842) Epoch: [28][5000/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0440 (2.6488) Prec@1 39.844 (42.870) Prec@5 62.500 (67.845) Epoch: [28][5010/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6999 (2.6490) Prec@1 44.531 (42.865) Prec@5 63.281 (67.840) Epoch: [28][5020/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7995 (2.6491) Prec@1 40.625 (42.865) Prec@5 64.062 (67.839) Epoch: [28][5030/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7531 (2.6492) Prec@1 50.781 (42.866) Prec@5 67.188 (67.838) Epoch: [28][5040/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.5351 (2.6494) Prec@1 42.969 (42.864) Prec@5 70.312 (67.836) Epoch: [28][5050/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7521 (2.6496) Prec@1 43.750 (42.861) Prec@5 64.062 (67.835) Epoch: [28][5060/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7333 (2.6496) Prec@1 44.531 (42.864) Prec@5 67.188 (67.836) Epoch: [28][5070/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6420 (2.6495) Prec@1 42.188 (42.862) Prec@5 66.406 (67.835) Epoch: [28][5080/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7858 (2.6496) Prec@1 49.219 (42.863) Prec@5 66.406 (67.834) Epoch: [28][5090/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4998 (2.6495) Prec@1 45.312 (42.862) Prec@5 74.219 (67.835) Epoch: [28][5100/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7486 (2.6498) Prec@1 39.844 (42.858) Prec@5 64.844 (67.828) Epoch: [28][5110/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6530 (2.6497) Prec@1 43.750 (42.860) Prec@5 67.969 (67.829) Epoch: [28][5120/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 3.2485 (2.6496) Prec@1 39.844 (42.863) Prec@5 56.250 (67.832) Epoch: [28][5130/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8356 (2.6496) Prec@1 41.406 (42.864) Prec@5 62.500 (67.829) Epoch: [28][5140/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7851 (2.6498) Prec@1 42.188 (42.866) Prec@5 69.531 (67.827) Epoch: [28][5150/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.5860 (2.6498) Prec@1 41.406 (42.867) Prec@5 67.969 (67.826) Epoch: [28][5160/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9621 (2.6499) Prec@1 39.844 (42.868) Prec@5 64.844 (67.826) Epoch: [28][5170/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7995 (2.6498) Prec@1 42.969 (42.868) Prec@5 67.188 (67.827) Epoch: [28][5180/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4140 (2.6497) Prec@1 50.781 (42.870) Prec@5 73.438 (67.829) /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: [28][5190/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8111 (2.6498) Prec@1 40.625 (42.870) Prec@5 67.188 (67.828) Epoch: [28][5200/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2534 (2.6498) Prec@1 49.219 (42.869) Prec@5 70.312 (67.827) Epoch: [28][5210/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 3.0692 (2.6500) Prec@1 37.500 (42.866) Prec@5 61.719 (67.821) Epoch: [28][5220/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5928 (2.6501) Prec@1 42.969 (42.864) Prec@5 70.312 (67.820) Epoch: [28][5230/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6043 (2.6503) Prec@1 45.312 (42.859) Prec@5 66.406 (67.816) Epoch: [28][5240/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6189 (2.6502) Prec@1 39.844 (42.858) Prec@5 71.875 (67.818) Epoch: [28][5250/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5782 (2.6503) Prec@1 43.750 (42.858) Prec@5 67.969 (67.816) Epoch: [28][5260/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8764 (2.6504) Prec@1 39.062 (42.857) Prec@5 63.281 (67.813) Epoch: [28][5270/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5101 (2.6503) Prec@1 36.719 (42.857) Prec@5 67.969 (67.816) Epoch: [28][5280/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.2445 (2.6506) Prec@1 46.094 (42.848) Prec@5 75.000 (67.814) Epoch: [28][5290/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5473 (2.6506) Prec@1 39.844 (42.846) Prec@5 72.656 (67.816) Epoch: [28][5300/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6740 (2.6506) Prec@1 40.625 (42.843) Prec@5 70.312 (67.818) Epoch: [28][5310/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.4640 (2.6504) Prec@1 44.531 (42.846) Prec@5 72.656 (67.820) Epoch: [28][5320/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7217 (2.6504) Prec@1 44.531 (42.847) Prec@5 65.625 (67.821) Epoch: [28][5330/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.6248 (2.6503) Prec@1 42.969 (42.851) Prec@5 68.750 (67.823) Epoch: [28][5340/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7637 (2.6502) Prec@1 39.844 (42.854) Prec@5 67.188 (67.824) Epoch: [28][5350/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4034 (2.6502) Prec@1 44.531 (42.854) Prec@5 68.750 (67.825) Epoch: [28][5360/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5864 (2.6500) Prec@1 42.969 (42.858) Prec@5 68.750 (67.830) Epoch: [28][5370/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8680 (2.6501) Prec@1 36.719 (42.856) Prec@5 61.719 (67.829) Epoch: [28][5380/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7161 (2.6504) Prec@1 41.406 (42.855) Prec@5 64.062 (67.824) Epoch: [28][5390/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7771 (2.6503) Prec@1 39.062 (42.857) Prec@5 64.844 (67.827) Epoch: [28][5400/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4253 (2.6504) Prec@1 46.094 (42.854) Prec@5 70.312 (67.822) Epoch: [28][5410/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7467 (2.6502) Prec@1 44.531 (42.858) Prec@5 65.625 (67.824) Epoch: [28][5420/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.4775 (2.6504) Prec@1 47.656 (42.859) Prec@5 68.750 (67.821) Epoch: [28][5430/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9319 (2.6503) Prec@1 42.188 (42.860) Prec@5 67.188 (67.824) Epoch: [28][5440/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5621 (2.6502) Prec@1 47.656 (42.861) Prec@5 68.750 (67.825) Epoch: [28][5450/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.0144 (2.6503) Prec@1 29.688 (42.859) Prec@5 61.719 (67.824) Epoch: [28][5460/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5191 (2.6504) Prec@1 46.875 (42.858) Prec@5 64.062 (67.821) Epoch: [28][5470/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.2500 (2.6503) Prec@1 53.125 (42.861) Prec@5 74.219 (67.821) Epoch: [28][5480/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4516 (2.6502) Prec@1 42.188 (42.862) Prec@5 71.094 (67.821) Epoch: [28][5490/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6313 (2.6505) Prec@1 42.969 (42.861) Prec@5 66.406 (67.817) Epoch: [28][5500/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4662 (2.6503) Prec@1 44.531 (42.863) Prec@5 67.188 (67.820) Epoch: [28][5510/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6469 (2.6504) Prec@1 44.531 (42.861) Prec@5 67.188 (67.817) Epoch: [28][5520/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8046 (2.6504) Prec@1 40.625 (42.861) Prec@5 65.625 (67.815) Epoch: [28][5530/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.3319 (2.6503) Prec@1 47.656 (42.863) Prec@5 71.094 (67.815) Epoch: [28][5540/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7028 (2.6505) Prec@1 45.312 (42.859) Prec@5 69.531 (67.814) Epoch: [28][5550/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8375 (2.6505) Prec@1 39.062 (42.858) Prec@5 68.750 (67.814) /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: [28][5560/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5061 (2.6505) Prec@1 48.438 (42.859) Prec@5 68.750 (67.814) Epoch: [28][5570/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7594 (2.6506) Prec@1 42.969 (42.855) Prec@5 66.406 (67.810) Epoch: [28][5580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2637 (2.6505) Prec@1 47.656 (42.856) Prec@5 75.000 (67.812) Epoch: [28][5590/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5673 (2.6506) Prec@1 42.188 (42.854) Prec@5 71.875 (67.811) Epoch: [28][5600/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6516 (2.6506) Prec@1 39.844 (42.854) Prec@5 66.406 (67.810) Epoch: [28][5610/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8246 (2.6507) Prec@1 42.188 (42.854) Prec@5 65.625 (67.810) Epoch: [28][5620/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6081 (2.6507) Prec@1 49.219 (42.855) Prec@5 68.750 (67.808) Epoch: [28][5630/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4657 (2.6508) Prec@1 46.094 (42.853) Prec@5 68.750 (67.806) Epoch: [28][5640/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.3910 (2.6507) Prec@1 44.531 (42.854) Prec@5 73.438 (67.808) Epoch: [28][5650/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4328 (2.6509) Prec@1 45.312 (42.851) Prec@5 73.438 (67.807) Epoch: [28][5660/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4300 (2.6510) Prec@1 53.906 (42.851) Prec@5 70.312 (67.805) Epoch: [28][5670/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5338 (2.6511) Prec@1 41.406 (42.849) Prec@5 68.750 (67.803) Epoch: [28][5680/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4286 (2.6511) Prec@1 48.438 (42.849) Prec@5 71.875 (67.802) Epoch: [28][5690/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.8457 (2.6510) Prec@1 39.844 (42.849) Prec@5 71.094 (67.804) Epoch: [28][5700/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7774 (2.6511) Prec@1 42.188 (42.848) Prec@5 69.531 (67.803) Epoch: [28][5710/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8547 (2.6512) Prec@1 38.281 (42.845) Prec@5 67.188 (67.803) Epoch: [28][5720/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5829 (2.6513) Prec@1 48.438 (42.843) Prec@5 69.531 (67.802) Epoch: [28][5730/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5297 (2.6513) Prec@1 42.969 (42.845) Prec@5 68.750 (67.803) Epoch: [28][5740/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5348 (2.6512) Prec@1 41.406 (42.845) Prec@5 71.875 (67.804) Epoch: [28][5750/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2851 (2.6511) Prec@1 50.000 (42.845) Prec@5 75.000 (67.807) Epoch: [28][5760/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.9402 (2.6512) Prec@1 31.250 (42.842) Prec@5 61.719 (67.804) Epoch: [28][5770/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7762 (2.6512) Prec@1 42.969 (42.843) Prec@5 64.062 (67.804) Epoch: [28][5780/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.0646 (2.6512) Prec@1 37.500 (42.842) Prec@5 60.938 (67.805) Epoch: [28][5790/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5067 (2.6511) Prec@1 50.000 (42.844) Prec@5 67.969 (67.808) Epoch: [28][5800/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6666 (2.6511) Prec@1 41.406 (42.844) Prec@5 64.844 (67.806) Epoch: [28][5810/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8941 (2.6511) Prec@1 37.500 (42.844) Prec@5 67.188 (67.806) Epoch: [28][5820/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.8672 (2.6512) Prec@1 37.500 (42.842) Prec@5 64.844 (67.804) Epoch: [28][5830/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6616 (2.6511) Prec@1 38.281 (42.841) Prec@5 68.750 (67.805) Epoch: [28][5840/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.4131 (2.6511) Prec@1 47.656 (42.842) Prec@5 78.906 (67.805) Epoch: [28][5850/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3850 (2.6511) Prec@1 43.750 (42.840) Prec@5 69.531 (67.805) Epoch: [28][5860/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8057 (2.6513) Prec@1 39.844 (42.839) Prec@5 57.812 (67.801) Epoch: [28][5870/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5404 (2.6514) Prec@1 50.781 (42.838) Prec@5 69.531 (67.801) Epoch: [28][5880/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6904 (2.6514) Prec@1 43.750 (42.840) Prec@5 63.281 (67.801) Epoch: [28][5890/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5282 (2.6514) Prec@1 42.969 (42.841) Prec@5 72.656 (67.801) Epoch: [28][5900/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 2.8139 (2.6516) Prec@1 39.844 (42.837) Prec@5 67.969 (67.799) Epoch: [28][5910/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5653 (2.6516) Prec@1 45.312 (42.837) Prec@5 71.875 (67.799) Epoch: [28][5920/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6734 (2.6514) Prec@1 35.938 (42.839) Prec@5 68.750 (67.799) Epoch: [28][5930/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7388 (2.6515) Prec@1 49.219 (42.838) Prec@5 64.844 (67.801) Epoch: [28][5940/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5049 (2.6516) Prec@1 40.625 (42.838) Prec@5 71.875 (67.799) Epoch: [28][5950/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6034 (2.6516) Prec@1 42.969 (42.837) Prec@5 70.312 (67.798) Epoch: [28][5960/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6253 (2.6515) Prec@1 41.406 (42.840) Prec@5 67.188 (67.802) Epoch: [28][5970/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8793 (2.6515) Prec@1 42.188 (42.836) Prec@5 70.312 (67.801) Epoch: [28][5980/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.8462 (2.6517) Prec@1 32.812 (42.832) Prec@5 62.500 (67.799) Epoch: [28][5990/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.9042 (2.6515) Prec@1 38.281 (42.832) Prec@5 67.969 (67.803) Epoch: [28][6000/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4666 (2.6517) Prec@1 39.844 (42.829) Prec@5 72.656 (67.802) Epoch: [28][6010/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6634 (2.6517) Prec@1 44.531 (42.830) Prec@5 67.969 (67.801) Epoch: [28][6020/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.4001 (2.6516) Prec@1 48.438 (42.832) Prec@5 71.875 (67.803) Epoch: [28][6030/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5421 (2.6517) Prec@1 51.562 (42.832) Prec@5 67.188 (67.803) Epoch: [28][6040/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6631 (2.6518) Prec@1 42.188 (42.832) Prec@5 65.625 (67.803) Epoch: [28][6050/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.4141 (2.6518) Prec@1 50.781 (42.830) Prec@5 70.312 (67.802) Epoch: [28][6060/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.3688 (2.6518) Prec@1 48.438 (42.829) Prec@5 76.562 (67.802) Epoch: [28][6070/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7909 (2.6518) Prec@1 38.281 (42.831) Prec@5 66.406 (67.803) Epoch: [28][6080/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7982 (2.6518) Prec@1 34.375 (42.827) Prec@5 65.625 (67.803) Epoch: [28][6090/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5509 (2.6519) Prec@1 42.969 (42.824) Prec@5 67.188 (67.801) Epoch: [28][6100/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6006 (2.6520) Prec@1 42.188 (42.821) Prec@5 66.406 (67.798) Epoch: [28][6110/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6017 (2.6521) Prec@1 46.094 (42.823) Prec@5 66.406 (67.794) Epoch: [28][6120/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5326 (2.6520) Prec@1 39.844 (42.821) Prec@5 68.750 (67.794) Epoch: [28][6130/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.4615 (2.6520) Prec@1 42.969 (42.818) Prec@5 71.094 (67.795) Epoch: [28][6140/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5971 (2.6520) Prec@1 39.062 (42.817) Prec@5 67.188 (67.793) Epoch: [28][6150/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8934 (2.6521) Prec@1 34.375 (42.817) Prec@5 67.188 (67.793) Epoch: [28][6160/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7234 (2.6520) Prec@1 42.969 (42.817) Prec@5 67.188 (67.796) Epoch: [28][6170/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5155 (2.6521) Prec@1 46.094 (42.816) Prec@5 74.219 (67.794) Epoch: [28][6180/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6899 (2.6520) Prec@1 46.094 (42.818) Prec@5 67.969 (67.795) Epoch: [28][6190/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6758 (2.6521) Prec@1 37.500 (42.814) Prec@5 67.969 (67.794) Epoch: [28][6200/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.3823 (2.6521) Prec@1 46.875 (42.814) Prec@5 73.438 (67.795) Epoch: [28][6210/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7839 (2.6521) Prec@1 40.625 (42.815) Prec@5 62.500 (67.793) Epoch: [28][6220/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7248 (2.6521) Prec@1 39.062 (42.814) Prec@5 70.312 (67.792) Epoch: [28][6230/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1393 (2.6522) Prec@1 30.469 (42.811) Prec@5 63.281 (67.791) Epoch: [28][6240/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.4628 (2.6523) Prec@1 47.656 (42.808) Prec@5 67.188 (67.793) Epoch: [28][6250/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9349 (2.6523) Prec@1 40.625 (42.809) Prec@5 64.062 (67.792) Epoch: [28][6260/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5550 (2.6522) Prec@1 46.875 (42.812) Prec@5 72.656 (67.796) Epoch: [28][6270/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.9237 (2.6522) Prec@1 39.844 (42.811) Prec@5 64.844 (67.798) Epoch: [28][6280/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5707 (2.6522) Prec@1 41.406 (42.807) Prec@5 69.531 (67.795) Epoch: [28][6290/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5722 (2.6523) Prec@1 39.844 (42.807) Prec@5 68.750 (67.794) Epoch: [28][6300/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7848 (2.6523) Prec@1 43.750 (42.809) Prec@5 67.969 (67.792) Epoch: [28][6310/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3077 (2.6522) Prec@1 51.562 (42.814) Prec@5 78.125 (67.798) Epoch: [28][6320/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6575 (2.6520) Prec@1 43.750 (42.817) Prec@5 71.875 (67.802) Epoch: [28][6330/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9941 (2.6522) Prec@1 31.250 (42.812) Prec@5 62.500 (67.800) Epoch: [28][6340/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5729 (2.6521) Prec@1 43.750 (42.813) Prec@5 70.312 (67.802) Epoch: [28][6350/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5534 (2.6522) Prec@1 41.406 (42.808) Prec@5 71.094 (67.801) Epoch: [28][6360/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8027 (2.6522) Prec@1 39.844 (42.809) Prec@5 66.406 (67.801) Epoch: [28][6370/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.2925 (2.6521) Prec@1 53.125 (42.808) Prec@5 75.000 (67.804) Epoch: [28][6380/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.8876 (2.6521) Prec@1 42.969 (42.809) Prec@5 67.188 (67.802) Epoch: [28][6390/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.6202 (2.6522) Prec@1 49.219 (42.809) Prec@5 70.312 (67.801) Epoch: [28][6400/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.5423 (2.6522) Prec@1 42.969 (42.809) Prec@5 67.188 (67.801) Epoch: [28][6410/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7920 (2.6523) Prec@1 38.281 (42.804) Prec@5 66.406 (67.800) Epoch: [28][6420/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6948 (2.6523) Prec@1 39.844 (42.804) Prec@5 71.094 (67.800) Epoch: [28][6430/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.2097 (2.6523) Prec@1 48.438 (42.805) Prec@5 74.219 (67.800) Epoch: [28][6440/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8779 (2.6522) Prec@1 34.375 (42.804) Prec@5 63.281 (67.803) Epoch: [28][6450/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5028 (2.6521) Prec@1 44.531 (42.804) Prec@5 70.312 (67.805) Epoch: [28][6460/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9245 (2.6522) Prec@1 43.750 (42.804) Prec@5 64.844 (67.804) Epoch: [28][6470/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4302 (2.6519) Prec@1 43.750 (42.810) Prec@5 69.531 (67.809) Epoch: [28][6480/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5966 (2.6518) Prec@1 42.969 (42.811) Prec@5 67.188 (67.811) Epoch: [28][6490/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.0284 (2.6519) Prec@1 39.062 (42.809) Prec@5 58.594 (67.809) Epoch: [28][6500/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8513 (2.6518) Prec@1 41.406 (42.811) Prec@5 66.406 (67.812) Epoch: [28][6510/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6855 (2.6518) Prec@1 45.312 (42.813) Prec@5 67.188 (67.811) Epoch: [28][6520/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5896 (2.6518) Prec@1 46.094 (42.811) Prec@5 70.312 (67.813) Epoch: [28][6530/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6483 (2.6518) Prec@1 45.312 (42.812) Prec@5 71.094 (67.813) Epoch: [28][6540/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8076 (2.6519) Prec@1 42.188 (42.809) Prec@5 64.844 (67.811) Epoch: [28][6550/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8479 (2.6518) Prec@1 44.531 (42.810) Prec@5 64.844 (67.813) Epoch: [28][6560/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6654 (2.6519) Prec@1 41.406 (42.806) Prec@5 64.062 (67.813) Epoch: [28][6570/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6352 (2.6519) Prec@1 41.406 (42.808) Prec@5 69.531 (67.812) Epoch: [28][6580/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.3104 (2.6520) Prec@1 46.094 (42.805) Prec@5 75.781 (67.812) Epoch: [28][6590/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7325 (2.6520) Prec@1 39.844 (42.803) Prec@5 67.969 (67.812) Epoch: [28][6600/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6473 (2.6518) Prec@1 42.188 (42.804) Prec@5 70.312 (67.817) Epoch: [28][6610/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.8399 (2.6518) Prec@1 39.844 (42.804) Prec@5 64.844 (67.818) Epoch: [28][6620/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6121 (2.6517) Prec@1 45.312 (42.806) Prec@5 64.844 (67.820) Epoch: [28][6630/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8662 (2.6519) Prec@1 39.844 (42.804) Prec@5 62.500 (67.816) Epoch: [28][6640/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8829 (2.6519) Prec@1 42.188 (42.803) Prec@5 65.625 (67.816) Epoch: [28][6650/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7338 (2.6520) Prec@1 44.531 (42.803) Prec@5 65.625 (67.815) Epoch: [28][6660/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3958 (2.6519) Prec@1 44.531 (42.804) Prec@5 73.438 (67.815) Epoch: [28][6670/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.9993 (2.6521) Prec@1 38.281 (42.800) Prec@5 64.062 (67.811) Epoch: [28][6680/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9881 (2.6522) Prec@1 35.938 (42.796) Prec@5 65.625 (67.808) Epoch: [28][6690/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5634 (2.6524) Prec@1 40.625 (42.793) Prec@5 63.281 (67.806) Epoch: [28][6700/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4442 (2.6523) Prec@1 44.531 (42.791) Prec@5 67.969 (67.806) Epoch: [28][6710/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9003 (2.6524) Prec@1 39.062 (42.792) Prec@5 61.719 (67.805) Epoch: [28][6720/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4885 (2.6523) Prec@1 43.750 (42.796) Prec@5 73.438 (67.808) Epoch: [28][6730/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.8348 (2.6523) Prec@1 40.625 (42.797) Prec@5 63.281 (67.805) /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: [28][6740/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8054 (2.6526) Prec@1 40.625 (42.793) Prec@5 64.844 (67.801) Epoch: [28][6750/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7717 (2.6526) Prec@1 38.281 (42.791) Prec@5 65.625 (67.800) Epoch: [28][6760/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6342 (2.6526) Prec@1 44.531 (42.787) Prec@5 67.188 (67.801) Epoch: [28][6770/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5813 (2.6527) Prec@1 42.188 (42.786) Prec@5 67.969 (67.800) Epoch: [28][6780/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.4796 (2.6528) Prec@1 48.438 (42.784) Prec@5 71.875 (67.796) Epoch: [28][6790/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4980 (2.6528) Prec@1 49.219 (42.785) Prec@5 70.312 (67.796) Epoch: [28][6800/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9638 (2.6528) Prec@1 42.969 (42.789) Prec@5 65.625 (67.797) Epoch: [28][6810/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7518 (2.6527) Prec@1 41.406 (42.790) Prec@5 67.969 (67.800) Epoch: [28][6820/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6243 (2.6527) Prec@1 44.531 (42.788) Prec@5 66.406 (67.801) Epoch: [28][6830/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6942 (2.6528) Prec@1 39.844 (42.786) Prec@5 69.531 (67.801) Epoch: [28][6840/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6939 (2.6528) Prec@1 40.625 (42.783) Prec@5 68.750 (67.799) Epoch: [28][6850/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4738 (2.6530) Prec@1 44.531 (42.781) Prec@5 71.094 (67.795) Epoch: [28][6860/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.3357 (2.6530) Prec@1 46.875 (42.780) Prec@5 75.000 (67.794) Epoch: [28][6870/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4637 (2.6532) Prec@1 46.875 (42.775) Prec@5 67.969 (67.791) Epoch: [28][6880/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.0027 (2.6533) Prec@1 37.500 (42.775) Prec@5 66.406 (67.791) Epoch: [28][6890/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.7163 (2.6533) Prec@1 40.625 (42.774) Prec@5 64.062 (67.790) Epoch: [28][6900/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5657 (2.6534) Prec@1 45.312 (42.772) Prec@5 71.094 (67.788) Epoch: [28][6910/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2871 (2.6533) Prec@1 48.438 (42.777) Prec@5 76.562 (67.792) /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: [28][6920/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5841 (2.6533) Prec@1 38.281 (42.777) Prec@5 69.531 (67.791) Epoch: [28][6930/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9756 (2.6533) Prec@1 32.812 (42.777) Prec@5 62.500 (67.790) Epoch: [28][6940/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5657 (2.6532) Prec@1 43.750 (42.779) Prec@5 63.281 (67.791) Epoch: [28][6950/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 3.1533 (2.6531) Prec@1 39.844 (42.781) Prec@5 59.375 (67.792) Epoch: [28][6960/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8214 (2.6533) Prec@1 36.719 (42.777) Prec@5 64.062 (67.790) Epoch: [28][6970/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5761 (2.6533) Prec@1 42.969 (42.776) Prec@5 71.094 (67.791) Epoch: [28][6980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8012 (2.6533) Prec@1 42.969 (42.774) Prec@5 64.844 (67.792) Epoch: [28][6990/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5233 (2.6531) Prec@1 46.094 (42.777) Prec@5 71.094 (67.795) Epoch: [28][7000/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4795 (2.6532) Prec@1 42.969 (42.778) Prec@5 70.312 (67.793) Epoch: [28][7010/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9993 (2.6532) Prec@1 36.719 (42.775) Prec@5 66.406 (67.792) Epoch: [28][7020/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 3.1170 (2.6533) Prec@1 33.594 (42.773) Prec@5 57.812 (67.790) Epoch: [28][7030/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8393 (2.6533) Prec@1 39.062 (42.771) Prec@5 64.844 (67.789) Epoch: [28][7040/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.3944 (2.6534) Prec@1 44.531 (42.769) Prec@5 74.219 (67.790) Epoch: [28][7050/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9876 (2.6534) Prec@1 32.031 (42.767) Prec@5 65.625 (67.790) Epoch: [28][7060/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.2852 (2.6534) Prec@1 50.781 (42.768) Prec@5 72.656 (67.789) Epoch: [28][7070/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5904 (2.6534) Prec@1 46.094 (42.768) Prec@5 64.062 (67.790) Epoch: [28][7080/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.3118 (2.6535) Prec@1 48.438 (42.766) Prec@5 69.531 (67.787) Epoch: [28][7090/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4000 (2.6534) Prec@1 45.312 (42.768) Prec@5 71.094 (67.788) Epoch: [28][7100/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5055 (2.6533) Prec@1 43.750 (42.771) Prec@5 71.875 (67.791) Epoch: [28][7110/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.8087 (2.6532) Prec@1 42.969 (42.773) Prec@5 61.719 (67.792) Epoch: [28][7120/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7478 (2.6532) Prec@1 39.844 (42.774) Prec@5 68.750 (67.791) Epoch: [28][7130/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.0791 (2.6533) Prec@1 54.688 (42.773) Prec@5 78.906 (67.790) Epoch: [28][7140/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9608 (2.6532) Prec@1 35.938 (42.775) Prec@5 60.156 (67.791) Epoch: [28][7150/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6902 (2.6531) Prec@1 44.531 (42.774) Prec@5 64.062 (67.791) Epoch: [28][7160/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.6133 (2.6530) Prec@1 45.312 (42.777) Prec@5 67.969 (67.792) Epoch: [28][7170/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5740 (2.6531) Prec@1 51.562 (42.778) Prec@5 69.531 (67.792) Epoch: [28][7180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6356 (2.6530) Prec@1 42.188 (42.779) Prec@5 71.094 (67.793) Epoch: [28][7190/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8840 (2.6531) Prec@1 42.188 (42.777) Prec@5 65.625 (67.791) Epoch: [28][7200/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.4191 (2.6530) Prec@1 42.188 (42.779) Prec@5 71.875 (67.793) Epoch: [28][7210/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8559 (2.6530) Prec@1 39.062 (42.777) Prec@5 66.406 (67.793) Epoch: [28][7220/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5201 (2.6530) Prec@1 46.875 (42.775) Prec@5 71.875 (67.792) Epoch: [28][7230/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6825 (2.6531) Prec@1 42.969 (42.774) Prec@5 67.188 (67.790) Epoch: [28][7240/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6995 (2.6531) Prec@1 42.188 (42.772) Prec@5 67.188 (67.791) Epoch: [28][7250/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3661 (2.6531) Prec@1 51.562 (42.772) Prec@5 75.781 (67.792) Epoch: [28][7260/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.7356 (2.6531) Prec@1 37.500 (42.771) Prec@5 69.531 (67.793) Epoch: [28][7270/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7739 (2.6532) Prec@1 38.281 (42.770) Prec@5 64.062 (67.789) Epoch: [28][7280/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4437 (2.6532) Prec@1 46.875 (42.769) Prec@5 72.656 (67.792) Epoch: [28][7290/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.3833 (2.6531) Prec@1 51.562 (42.770) Prec@5 68.750 (67.792) Epoch: [28][7300/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6145 (2.6531) Prec@1 43.750 (42.770) Prec@5 67.188 (67.791) Epoch: [28][7310/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.2801 (2.6531) Prec@1 33.594 (42.768) Prec@5 57.031 (67.791) Epoch: [28][7320/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.2209 (2.6532) Prec@1 53.125 (42.767) Prec@5 76.562 (67.791) Epoch: [28][7330/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6473 (2.6533) Prec@1 33.594 (42.765) Prec@5 71.094 (67.790) Epoch: [28][7340/10010] Time 0.324 (0.331) Data 0.002 (0.001) Loss 2.7015 (2.6534) Prec@1 38.281 (42.762) Prec@5 68.750 (67.789) Epoch: [28][7350/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7903 (2.6533) Prec@1 42.188 (42.763) Prec@5 66.406 (67.791) Epoch: [28][7360/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.1066 (2.6533) Prec@1 39.062 (42.764) Prec@5 55.469 (67.789) Epoch: [28][7370/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.9894 (2.6535) Prec@1 37.500 (42.760) Prec@5 63.281 (67.786) Epoch: [28][7380/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5760 (2.6534) Prec@1 39.062 (42.761) Prec@5 74.219 (67.788) Epoch: [28][7390/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.0717 (2.6535) Prec@1 38.281 (42.759) Prec@5 61.719 (67.787) Epoch: [28][7400/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4858 (2.6533) Prec@1 49.219 (42.761) Prec@5 69.531 (67.789) Epoch: [28][7410/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6760 (2.6533) Prec@1 43.750 (42.761) Prec@5 65.625 (67.791) Epoch: [28][7420/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7912 (2.6533) Prec@1 39.844 (42.759) Prec@5 64.844 (67.791) Epoch: [28][7430/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8355 (2.6533) Prec@1 39.062 (42.759) Prec@5 67.969 (67.790) Epoch: [28][7440/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7667 (2.6534) Prec@1 39.062 (42.759) Prec@5 67.969 (67.791) Epoch: [28][7450/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7397 (2.6536) Prec@1 42.188 (42.754) Prec@5 67.969 (67.788) Epoch: [28][7460/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.2480 (2.6537) Prec@1 34.375 (42.752) Prec@5 59.375 (67.784) Epoch: [28][7470/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8986 (2.6539) Prec@1 39.844 (42.750) Prec@5 66.406 (67.782) Epoch: [28][7480/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 3.0221 (2.6540) Prec@1 39.844 (42.747) Prec@5 60.938 (67.778) Epoch: [28][7490/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.3121 (2.6541) Prec@1 52.344 (42.745) Prec@5 75.000 (67.778) Epoch: [28][7500/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5993 (2.6541) Prec@1 44.531 (42.743) Prec@5 70.312 (67.779) Epoch: [28][7510/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4606 (2.6541) Prec@1 42.969 (42.745) Prec@5 71.094 (67.780) Epoch: [28][7520/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6687 (2.6540) Prec@1 39.062 (42.744) Prec@5 64.062 (67.782) Epoch: [28][7530/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6892 (2.6538) Prec@1 44.531 (42.745) Prec@5 66.406 (67.784) Epoch: [28][7540/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7863 (2.6538) Prec@1 40.625 (42.747) Prec@5 64.062 (67.784) Epoch: [28][7550/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7583 (2.6537) Prec@1 39.844 (42.748) Prec@5 64.062 (67.785) Epoch: [28][7560/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9664 (2.6536) Prec@1 35.156 (42.750) Prec@5 62.500 (67.787) Epoch: [28][7570/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5072 (2.6537) Prec@1 46.875 (42.749) Prec@5 64.844 (67.784) Epoch: [28][7580/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8562 (2.6538) Prec@1 42.969 (42.748) Prec@5 64.844 (67.785) Epoch: [28][7590/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.8419 (2.6538) Prec@1 37.500 (42.746) Prec@5 64.844 (67.784) Epoch: [28][7600/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9452 (2.6539) Prec@1 38.281 (42.746) Prec@5 65.625 (67.783) Epoch: [28][7610/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7318 (2.6540) Prec@1 39.062 (42.744) Prec@5 64.844 (67.781) Epoch: [28][7620/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7554 (2.6539) Prec@1 39.062 (42.746) Prec@5 66.406 (67.783) Epoch: [28][7630/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5233 (2.6539) Prec@1 48.438 (42.745) Prec@5 67.188 (67.784) Epoch: [28][7640/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.4297 (2.6539) Prec@1 46.875 (42.745) Prec@5 73.438 (67.783) Epoch: [28][7650/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6608 (2.6538) Prec@1 42.969 (42.748) Prec@5 67.188 (67.786) Epoch: [28][7660/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.8762 (2.6538) Prec@1 41.406 (42.750) Prec@5 57.812 (67.787) Epoch: [28][7670/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6318 (2.6539) Prec@1 44.531 (42.747) Prec@5 68.750 (67.786) Epoch: [28][7680/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2593 (2.6537) Prec@1 46.094 (42.748) Prec@5 78.125 (67.790) Epoch: [28][7690/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4603 (2.6538) Prec@1 49.219 (42.745) Prec@5 72.656 (67.789) Epoch: [28][7700/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4513 (2.6538) Prec@1 49.219 (42.745) Prec@5 68.750 (67.788) Epoch: [28][7710/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0687 (2.6538) Prec@1 55.469 (42.747) Prec@5 78.906 (67.789) Epoch: [28][7720/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6478 (2.6538) Prec@1 45.312 (42.746) Prec@5 68.750 (67.790) Epoch: [28][7730/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.4609 (2.6537) Prec@1 47.656 (42.746) Prec@5 71.875 (67.792) Epoch: [28][7740/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4966 (2.6538) Prec@1 52.344 (42.745) Prec@5 71.875 (67.791) Epoch: [28][7750/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5266 (2.6539) Prec@1 42.188 (42.745) Prec@5 68.750 (67.791) Epoch: [28][7760/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4170 (2.6540) Prec@1 43.750 (42.744) Prec@5 73.438 (67.789) Epoch: [28][7770/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6145 (2.6540) Prec@1 40.625 (42.742) Prec@5 68.750 (67.789) Epoch: [28][7780/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7521 (2.6542) Prec@1 39.062 (42.741) Prec@5 66.406 (67.788) Epoch: [28][7790/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5896 (2.6541) Prec@1 46.094 (42.744) Prec@5 69.531 (67.789) Epoch: [28][7800/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7532 (2.6542) Prec@1 37.500 (42.740) Prec@5 67.188 (67.787) Epoch: [28][7810/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7988 (2.6543) Prec@1 42.188 (42.739) Prec@5 66.406 (67.785) Epoch: [28][7820/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6061 (2.6544) Prec@1 42.969 (42.737) Prec@5 68.750 (67.783) Epoch: [28][7830/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.3739 (2.6544) Prec@1 43.750 (42.736) Prec@5 70.312 (67.784) Epoch: [28][7840/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.0296 (2.6545) Prec@1 39.062 (42.735) Prec@5 55.469 (67.781) Epoch: [28][7850/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9481 (2.6544) Prec@1 42.969 (42.734) Prec@5 63.281 (67.781) Epoch: [28][7860/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6660 (2.6545) Prec@1 36.719 (42.733) Prec@5 65.625 (67.780) Epoch: [28][7870/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9955 (2.6546) Prec@1 39.062 (42.731) Prec@5 65.625 (67.779) Epoch: [28][7880/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6288 (2.6547) Prec@1 45.312 (42.730) Prec@5 64.844 (67.777) Epoch: [28][7890/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.4100 (2.6547) Prec@1 44.531 (42.728) Prec@5 74.219 (67.777) Epoch: [28][7900/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.2358 (2.6548) Prec@1 37.500 (42.728) Prec@5 56.250 (67.774) Epoch: [28][7910/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8229 (2.6548) Prec@1 41.406 (42.728) Prec@5 63.281 (67.775) Epoch: [28][7920/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6317 (2.6549) Prec@1 41.406 (42.725) Prec@5 68.750 (67.774) Epoch: [28][7930/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.4809 (2.6548) Prec@1 42.188 (42.726) Prec@5 73.438 (67.774) Epoch: [28][7940/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.9052 (2.6549) Prec@1 35.938 (42.726) Prec@5 61.719 (67.774) Epoch: [28][7950/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5231 (2.6549) Prec@1 44.531 (42.725) Prec@5 63.281 (67.774) Epoch: [28][7960/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5563 (2.6550) Prec@1 48.438 (42.724) Prec@5 71.094 (67.773) Epoch: [28][7970/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7011 (2.6550) Prec@1 43.750 (42.724) Prec@5 70.312 (67.773) Epoch: [28][7980/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 3.0450 (2.6551) Prec@1 37.500 (42.721) Prec@5 57.031 (67.773) Epoch: [28][7990/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5937 (2.6551) Prec@1 43.750 (42.722) Prec@5 71.094 (67.775) Epoch: [28][8000/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7295 (2.6551) Prec@1 42.188 (42.723) Prec@5 66.406 (67.774) Epoch: [28][8010/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7635 (2.6551) Prec@1 42.188 (42.723) Prec@5 65.625 (67.774) Epoch: [28][8020/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7798 (2.6552) Prec@1 37.500 (42.722) Prec@5 64.844 (67.772) Epoch: [28][8030/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6866 (2.6551) Prec@1 43.750 (42.724) Prec@5 69.531 (67.773) Epoch: [28][8040/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 3.1021 (2.6552) Prec@1 38.281 (42.724) Prec@5 60.156 (67.773) Epoch: [28][8050/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.6824 (2.6551) Prec@1 43.750 (42.726) Prec@5 70.312 (67.774) Epoch: [28][8060/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6868 (2.6550) Prec@1 47.656 (42.728) Prec@5 71.094 (67.776) Epoch: [28][8070/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6593 (2.6551) Prec@1 46.094 (42.728) Prec@5 66.406 (67.776) Epoch: [28][8080/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6057 (2.6552) Prec@1 43.750 (42.726) Prec@5 67.969 (67.774) Epoch: [28][8090/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.8162 (2.6552) Prec@1 40.625 (42.726) Prec@5 64.844 (67.774) Epoch: [28][8100/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7904 (2.6553) Prec@1 39.844 (42.724) Prec@5 67.969 (67.774) Epoch: [28][8110/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4738 (2.6553) Prec@1 42.969 (42.723) Prec@5 66.406 (67.771) Epoch: [28][8120/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4206 (2.6553) Prec@1 46.875 (42.723) Prec@5 72.656 (67.772) Epoch: [28][8130/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7831 (2.6555) Prec@1 37.500 (42.720) Prec@5 62.500 (67.768) Epoch: [28][8140/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6148 (2.6555) Prec@1 40.625 (42.719) Prec@5 71.094 (67.768) Epoch: [28][8150/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6802 (2.6555) Prec@1 43.750 (42.719) Prec@5 69.531 (67.767) Epoch: [28][8160/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.0370 (2.6556) Prec@1 32.812 (42.715) Prec@5 65.625 (67.766) Epoch: [28][8170/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7799 (2.6556) Prec@1 41.406 (42.716) Prec@5 63.281 (67.766) Epoch: [28][8180/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.9267 (2.6558) Prec@1 40.625 (42.712) Prec@5 64.062 (67.763) Epoch: [28][8190/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.9514 (2.6560) Prec@1 38.281 (42.709) Prec@5 63.281 (67.760) Epoch: [28][8200/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4864 (2.6560) Prec@1 48.438 (42.711) Prec@5 69.531 (67.759) Epoch: [28][8210/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5813 (2.6560) Prec@1 44.531 (42.709) Prec@5 71.094 (67.759) Epoch: [28][8220/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 3.0108 (2.6561) Prec@1 32.031 (42.707) Prec@5 59.375 (67.757) Epoch: [28][8230/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7788 (2.6562) Prec@1 39.844 (42.705) Prec@5 65.625 (67.755) Epoch: [28][8240/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7773 (2.6563) Prec@1 39.844 (42.704) Prec@5 67.188 (67.754) Epoch: [28][8250/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9376 (2.6563) Prec@1 33.594 (42.702) Prec@5 64.844 (67.754) Epoch: [28][8260/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6421 (2.6566) Prec@1 46.094 (42.700) Prec@5 70.312 (67.748) Epoch: [28][8270/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.4774 (2.6566) Prec@1 48.438 (42.701) Prec@5 71.875 (67.748) Epoch: [28][8280/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6948 (2.6567) Prec@1 42.188 (42.701) Prec@5 71.094 (67.748) Epoch: [28][8290/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6163 (2.6566) Prec@1 42.188 (42.702) Prec@5 71.875 (67.748) Epoch: [28][8300/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5259 (2.6566) Prec@1 42.969 (42.704) Prec@5 73.438 (67.751) Epoch: [28][8310/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7098 (2.6566) Prec@1 41.406 (42.702) Prec@5 67.969 (67.750) Epoch: [28][8320/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5980 (2.6566) Prec@1 45.312 (42.703) Prec@5 67.188 (67.751) Epoch: [28][8330/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 3.0356 (2.6566) Prec@1 40.625 (42.704) Prec@5 64.062 (67.753) Epoch: [28][8340/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7543 (2.6565) Prec@1 40.625 (42.706) Prec@5 60.938 (67.753) Epoch: [28][8350/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7227 (2.6565) Prec@1 42.969 (42.708) Prec@5 69.531 (67.752) Epoch: [28][8360/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5637 (2.6566) Prec@1 44.531 (42.705) Prec@5 71.875 (67.751) Epoch: [28][8370/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5000 (2.6566) Prec@1 42.969 (42.705) Prec@5 68.750 (67.750) Epoch: [28][8380/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4654 (2.6567) Prec@1 43.750 (42.704) Prec@5 67.969 (67.750) Epoch: [28][8390/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0123 (2.6566) Prec@1 41.406 (42.705) Prec@5 58.594 (67.751) Epoch: [28][8400/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.3894 (2.6566) Prec@1 46.094 (42.707) Prec@5 68.750 (67.754) Epoch: [28][8410/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3794 (2.6565) Prec@1 49.219 (42.708) Prec@5 69.531 (67.753) Epoch: [28][8420/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4830 (2.6565) Prec@1 49.219 (42.710) Prec@5 73.438 (67.754) Epoch: [28][8430/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6381 (2.6565) Prec@1 42.188 (42.710) Prec@5 64.062 (67.754) Epoch: [28][8440/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7048 (2.6564) Prec@1 41.406 (42.713) Prec@5 65.625 (67.757) Epoch: [28][8450/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.5725 (2.6564) Prec@1 40.625 (42.714) Prec@5 70.312 (67.757) Epoch: [28][8460/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6349 (2.6564) Prec@1 42.188 (42.714) Prec@5 68.750 (67.758) Epoch: [28][8470/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.4828 (2.6565) Prec@1 48.438 (42.712) Prec@5 74.219 (67.756) Epoch: [28][8480/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6052 (2.6564) Prec@1 39.844 (42.714) Prec@5 68.750 (67.757) Epoch: [28][8490/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.8473 (2.6564) Prec@1 42.969 (42.714) Prec@5 61.719 (67.757) Epoch: [28][8500/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8513 (2.6565) Prec@1 35.938 (42.713) Prec@5 64.062 (67.757) Epoch: [28][8510/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6793 (2.6563) Prec@1 42.188 (42.716) Prec@5 66.406 (67.758) Epoch: [28][8520/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.5833 (2.6564) Prec@1 38.281 (42.712) Prec@5 70.312 (67.756) Epoch: [28][8530/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6581 (2.6564) Prec@1 42.969 (42.713) Prec@5 62.500 (67.756) Epoch: [28][8540/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8405 (2.6565) Prec@1 35.156 (42.709) Prec@5 66.406 (67.755) Epoch: [28][8550/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8807 (2.6565) Prec@1 44.531 (42.710) Prec@5 66.406 (67.753) Epoch: [28][8560/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9718 (2.6566) Prec@1 38.281 (42.709) Prec@5 57.812 (67.753) Epoch: [28][8570/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.1787 (2.6565) Prec@1 50.781 (42.711) Prec@5 74.219 (67.755) Epoch: [28][8580/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6338 (2.6565) Prec@1 38.281 (42.709) Prec@5 68.750 (67.755) Epoch: [28][8590/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5156 (2.6564) Prec@1 45.312 (42.711) Prec@5 67.969 (67.758) Epoch: [28][8600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8324 (2.6564) Prec@1 41.406 (42.713) Prec@5 64.844 (67.757) Epoch: [28][8610/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6774 (2.6563) Prec@1 41.406 (42.712) Prec@5 67.969 (67.757) Epoch: [28][8620/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7054 (2.6563) Prec@1 40.625 (42.709) Prec@5 69.531 (67.758) Epoch: [28][8630/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.4461 (2.6563) Prec@1 46.094 (42.708) Prec@5 72.656 (67.759) Epoch: [28][8640/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8261 (2.6562) Prec@1 40.625 (42.710) Prec@5 60.938 (67.759) Epoch: [28][8650/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6590 (2.6563) Prec@1 44.531 (42.709) Prec@5 66.406 (67.759) Epoch: [28][8660/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7557 (2.6563) Prec@1 39.844 (42.709) Prec@5 65.625 (67.758) Epoch: [28][8670/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7188 (2.6563) Prec@1 43.750 (42.709) Prec@5 64.062 (67.757) Epoch: [28][8680/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8106 (2.6563) Prec@1 41.406 (42.710) Prec@5 62.500 (67.758) Epoch: [28][8690/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.5896 (2.6561) Prec@1 45.312 (42.712) Prec@5 67.969 (67.760) Epoch: [28][8700/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4780 (2.6560) Prec@1 46.875 (42.715) Prec@5 67.188 (67.761) Epoch: [28][8710/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.2054 (2.6560) Prec@1 48.438 (42.716) Prec@5 75.781 (67.762) Epoch: [28][8720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.1123 (2.6560) Prec@1 52.344 (42.715) Prec@5 78.125 (67.761) Epoch: [28][8730/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.1340 (2.6561) Prec@1 33.594 (42.712) Prec@5 57.031 (67.760) Epoch: [28][8740/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6549 (2.6562) Prec@1 42.188 (42.710) Prec@5 71.875 (67.759) Epoch: [28][8750/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9917 (2.6562) Prec@1 38.281 (42.707) Prec@5 66.406 (67.760) Epoch: [28][8760/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5651 (2.6563) Prec@1 46.875 (42.707) Prec@5 67.969 (67.760) Epoch: [28][8770/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6971 (2.6562) Prec@1 39.844 (42.706) Prec@5 66.406 (67.761) Epoch: [28][8780/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7389 (2.6563) Prec@1 39.844 (42.706) Prec@5 67.969 (67.759) Epoch: [28][8790/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5415 (2.6562) Prec@1 45.312 (42.707) Prec@5 70.312 (67.760) Epoch: [28][8800/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5166 (2.6562) Prec@1 46.875 (42.709) Prec@5 69.531 (67.760) Epoch: [28][8810/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5253 (2.6562) Prec@1 46.094 (42.710) Prec@5 71.094 (67.761) Epoch: [28][8820/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5722 (2.6561) Prec@1 42.969 (42.710) Prec@5 67.969 (67.762) Epoch: [28][8830/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7214 (2.6562) Prec@1 43.750 (42.709) Prec@5 70.312 (67.761) Epoch: [28][8840/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5900 (2.6562) Prec@1 43.750 (42.708) Prec@5 66.406 (67.762) Epoch: [28][8850/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5462 (2.6562) Prec@1 44.531 (42.708) Prec@5 71.094 (67.760) Epoch: [28][8860/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8499 (2.6562) Prec@1 43.750 (42.706) Prec@5 62.500 (67.758) Epoch: [28][8870/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.9034 (2.6563) Prec@1 38.281 (42.705) Prec@5 61.719 (67.756) Epoch: [28][8880/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.3788 (2.6564) Prec@1 46.094 (42.703) Prec@5 71.094 (67.753) Epoch: [28][8890/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6429 (2.6564) Prec@1 44.531 (42.703) Prec@5 70.312 (67.753) Epoch: [28][8900/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8366 (2.6563) Prec@1 36.719 (42.704) Prec@5 62.500 (67.753) Epoch: [28][8910/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8933 (2.6565) Prec@1 39.844 (42.701) Prec@5 63.281 (67.750) Epoch: [28][8920/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9303 (2.6566) Prec@1 39.844 (42.700) Prec@5 62.500 (67.748) Epoch: [28][8930/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8713 (2.6567) Prec@1 37.500 (42.698) Prec@5 66.406 (67.743) Epoch: [28][8940/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7958 (2.6567) Prec@1 39.062 (42.698) Prec@5 63.281 (67.744) Epoch: [28][8950/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5739 (2.6567) Prec@1 38.281 (42.697) Prec@5 67.969 (67.745) Epoch: [28][8960/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6242 (2.6568) Prec@1 46.875 (42.697) Prec@5 70.312 (67.744) Epoch: [28][8970/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3003 (2.6568) Prec@1 50.000 (42.698) Prec@5 72.656 (67.744) Epoch: [28][8980/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6033 (2.6568) Prec@1 40.625 (42.698) Prec@5 69.531 (67.742) Epoch: [28][8990/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7577 (2.6568) Prec@1 43.750 (42.699) Prec@5 64.844 (67.743) Epoch: [28][9000/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9186 (2.6567) Prec@1 37.500 (42.699) Prec@5 64.844 (67.743) Epoch: [28][9010/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5119 (2.6566) Prec@1 40.625 (42.702) Prec@5 69.531 (67.744) Epoch: [28][9020/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7812 (2.6566) Prec@1 33.594 (42.699) Prec@5 61.719 (67.743) Epoch: [28][9030/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4592 (2.6565) Prec@1 41.406 (42.702) Prec@5 78.125 (67.747) Epoch: [28][9040/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3373 (2.6565) Prec@1 49.219 (42.703) Prec@5 72.656 (67.747) Epoch: [28][9050/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7623 (2.6566) Prec@1 42.969 (42.703) Prec@5 67.188 (67.747) Epoch: [28][9060/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4858 (2.6565) Prec@1 42.969 (42.705) Prec@5 68.750 (67.748) Epoch: [28][9070/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5808 (2.6565) Prec@1 42.969 (42.706) Prec@5 68.750 (67.748) Epoch: [28][9080/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5793 (2.6564) Prec@1 39.844 (42.706) Prec@5 67.969 (67.749) Epoch: [28][9090/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7638 (2.6564) Prec@1 42.188 (42.706) Prec@5 67.188 (67.751) Epoch: [28][9100/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7853 (2.6564) Prec@1 45.312 (42.707) Prec@5 67.969 (67.751) Epoch: [28][9110/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6887 (2.6565) Prec@1 48.438 (42.706) Prec@5 67.188 (67.749) Epoch: [28][9120/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4751 (2.6565) Prec@1 45.312 (42.706) Prec@5 72.656 (67.748) Epoch: [28][9130/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5880 (2.6565) Prec@1 40.625 (42.706) Prec@5 72.656 (67.749) Epoch: [28][9140/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.0499 (2.6565) Prec@1 41.406 (42.707) Prec@5 63.281 (67.749) Epoch: [28][9150/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5189 (2.6563) Prec@1 48.438 (42.709) Prec@5 68.750 (67.751) Epoch: [28][9160/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6214 (2.6563) Prec@1 41.406 (42.709) Prec@5 68.750 (67.751) Epoch: [28][9170/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7055 (2.6564) Prec@1 46.094 (42.708) Prec@5 67.188 (67.750) Epoch: [28][9180/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9455 (2.6565) Prec@1 37.500 (42.707) Prec@5 63.281 (67.749) Epoch: [28][9190/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4292 (2.6565) Prec@1 41.406 (42.704) Prec@5 69.531 (67.748) Epoch: [28][9200/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7196 (2.6566) Prec@1 39.062 (42.704) Prec@5 67.969 (67.747) Epoch: [28][9210/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9100 (2.6566) Prec@1 33.594 (42.702) Prec@5 63.281 (67.748) Epoch: [28][9220/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.2292 (2.6565) Prec@1 45.312 (42.703) Prec@5 74.219 (67.750) Epoch: [28][9230/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7076 (2.6565) Prec@1 43.750 (42.704) Prec@5 66.406 (67.749) Epoch: [28][9240/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.8974 (2.6565) Prec@1 36.719 (42.704) Prec@5 63.281 (67.751) Epoch: [28][9250/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6659 (2.6564) Prec@1 41.406 (42.706) Prec@5 65.625 (67.753) Epoch: [28][9260/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5587 (2.6565) Prec@1 40.625 (42.703) Prec@5 64.844 (67.749) Epoch: [28][9270/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4429 (2.6565) Prec@1 48.438 (42.701) Prec@5 73.438 (67.752) Epoch: [28][9280/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6844 (2.6565) Prec@1 37.500 (42.698) Prec@5 65.625 (67.748) Epoch: [28][9290/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9354 (2.6566) Prec@1 41.406 (42.698) Prec@5 60.156 (67.747) Epoch: [28][9300/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.3493 (2.6566) Prec@1 47.656 (42.697) Prec@5 73.438 (67.747) Epoch: [28][9310/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4888 (2.6565) Prec@1 44.531 (42.698) Prec@5 67.969 (67.748) Epoch: [28][9320/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5787 (2.6565) Prec@1 42.188 (42.698) Prec@5 68.750 (67.748) Epoch: [28][9330/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7898 (2.6566) Prec@1 42.969 (42.698) Prec@5 67.188 (67.746) Epoch: [28][9340/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4742 (2.6566) Prec@1 44.531 (42.695) Prec@5 71.094 (67.747) Epoch: [28][9350/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9169 (2.6566) Prec@1 37.500 (42.695) Prec@5 67.969 (67.746) Epoch: [28][9360/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0311 (2.6567) Prec@1 32.812 (42.691) Prec@5 61.719 (67.745) Epoch: [28][9370/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7875 (2.6568) Prec@1 36.719 (42.689) Prec@5 62.500 (67.743) Epoch: [28][9380/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5777 (2.6568) Prec@1 41.406 (42.690) Prec@5 68.750 (67.742) Epoch: [28][9390/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7561 (2.6569) Prec@1 39.844 (42.690) Prec@5 64.844 (67.742) Epoch: [28][9400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8915 (2.6570) Prec@1 35.156 (42.688) Prec@5 64.062 (67.740) Epoch: [28][9410/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5965 (2.6569) Prec@1 42.188 (42.689) Prec@5 70.312 (67.740) Epoch: [28][9420/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6301 (2.6570) Prec@1 48.438 (42.687) Prec@5 67.969 (67.739) Epoch: [28][9430/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5884 (2.6570) Prec@1 43.750 (42.687) Prec@5 65.625 (67.740) Epoch: [28][9440/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.0153 (2.6570) Prec@1 39.062 (42.686) Prec@5 60.156 (67.741) Epoch: [28][9450/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.9295 (2.6570) Prec@1 42.969 (42.686) Prec@5 59.375 (67.739) Epoch: [28][9460/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.3237 (2.6569) Prec@1 50.781 (42.688) Prec@5 74.219 (67.741) Epoch: [28][9470/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.4926 (2.6569) Prec@1 48.438 (42.687) Prec@5 72.656 (67.741) Epoch: [28][9480/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 3.2308 (2.6569) Prec@1 34.375 (42.687) Prec@5 63.281 (67.744) Epoch: [28][9490/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4987 (2.6570) Prec@1 42.969 (42.685) Prec@5 72.656 (67.741) Epoch: [28][9500/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7647 (2.6570) Prec@1 39.062 (42.687) Prec@5 63.281 (67.740) Epoch: [28][9510/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7473 (2.6571) Prec@1 38.281 (42.685) Prec@5 69.531 (67.739) Epoch: [28][9520/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8389 (2.6571) Prec@1 35.938 (42.683) Prec@5 66.406 (67.736) Epoch: [28][9530/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7843 (2.6571) Prec@1 46.094 (42.683) Prec@5 64.844 (67.737) Epoch: [28][9540/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.3434 (2.6570) Prec@1 42.969 (42.686) Prec@5 73.438 (67.739) Epoch: [28][9550/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8018 (2.6569) Prec@1 38.281 (42.688) Prec@5 64.844 (67.739) Epoch: [28][9560/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3304 (2.6569) Prec@1 48.438 (42.688) Prec@5 71.094 (67.738) Epoch: [28][9570/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5695 (2.6569) Prec@1 49.219 (42.689) Prec@5 68.750 (67.739) Epoch: [28][9580/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4200 (2.6568) Prec@1 52.344 (42.693) Prec@5 71.875 (67.743) Epoch: [28][9590/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.2291 (2.6567) Prec@1 46.094 (42.695) Prec@5 75.000 (67.744) Epoch: [28][9600/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7514 (2.6566) Prec@1 41.406 (42.696) Prec@5 67.188 (67.746) Epoch: [28][9610/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4762 (2.6567) Prec@1 46.875 (42.696) Prec@5 72.656 (67.745) Epoch: [28][9620/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6361 (2.6567) Prec@1 47.656 (42.695) Prec@5 64.844 (67.744) Epoch: [28][9630/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8746 (2.6568) Prec@1 40.625 (42.694) Prec@5 61.719 (67.743) Epoch: [28][9640/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8781 (2.6569) Prec@1 41.406 (42.692) Prec@5 65.625 (67.742) Epoch: [28][9650/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7269 (2.6569) Prec@1 43.750 (42.693) Prec@5 67.188 (67.741) Epoch: [28][9660/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.4414 (2.6569) Prec@1 50.000 (42.694) Prec@5 69.531 (67.741) Epoch: [28][9670/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7302 (2.6570) Prec@1 43.750 (42.692) Prec@5 69.531 (67.739) Epoch: [28][9680/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7075 (2.6570) Prec@1 44.531 (42.693) Prec@5 67.188 (67.739) Epoch: [28][9690/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5692 (2.6571) Prec@1 46.094 (42.694) Prec@5 67.188 (67.739) Epoch: [28][9700/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5658 (2.6572) Prec@1 46.094 (42.693) Prec@5 67.188 (67.738) Epoch: [28][9710/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6903 (2.6572) Prec@1 42.188 (42.692) Prec@5 67.969 (67.738) Epoch: [28][9720/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7965 (2.6573) Prec@1 37.500 (42.689) Prec@5 60.938 (67.736) Epoch: [28][9730/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.7167 (2.6573) Prec@1 45.312 (42.689) Prec@5 68.750 (67.736) Epoch: [28][9740/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5423 (2.6573) Prec@1 49.219 (42.687) Prec@5 68.750 (67.736) Epoch: [28][9750/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7636 (2.6573) Prec@1 39.062 (42.689) Prec@5 65.625 (67.738) Epoch: [28][9760/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6428 (2.6573) Prec@1 43.750 (42.689) Prec@5 67.188 (67.738) Epoch: [28][9770/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.9256 (2.6573) Prec@1 40.625 (42.689) Prec@5 64.062 (67.737) Epoch: [28][9780/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4326 (2.6573) Prec@1 46.875 (42.688) Prec@5 72.656 (67.736) Epoch: [28][9790/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6278 (2.6573) Prec@1 39.844 (42.686) Prec@5 66.406 (67.737) Epoch: [28][9800/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3934 (2.6573) Prec@1 44.531 (42.686) Prec@5 71.875 (67.737) Epoch: [28][9810/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.5784 (2.6573) Prec@1 42.969 (42.685) Prec@5 69.531 (67.736) Epoch: [28][9820/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7563 (2.6574) Prec@1 39.844 (42.684) Prec@5 68.750 (67.735) Epoch: [28][9830/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9006 (2.6574) Prec@1 35.938 (42.683) Prec@5 64.062 (67.735) Epoch: [28][9840/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6037 (2.6575) Prec@1 45.312 (42.681) Prec@5 67.969 (67.733) Epoch: [28][9850/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.6499 (2.6576) Prec@1 42.188 (42.680) Prec@5 67.188 (67.732) Epoch: [28][9860/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8041 (2.6577) Prec@1 43.750 (42.679) Prec@5 60.938 (67.730) Epoch: [28][9870/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6353 (2.6577) Prec@1 43.750 (42.678) Prec@5 68.750 (67.728) Epoch: [28][9880/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 3.0949 (2.6579) Prec@1 35.156 (42.675) Prec@5 56.250 (67.725) Epoch: [28][9890/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7491 (2.6579) Prec@1 41.406 (42.674) Prec@5 66.406 (67.725) Epoch: [28][9900/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.4485 (2.6579) Prec@1 50.781 (42.674) Prec@5 67.188 (67.725) Epoch: [28][9910/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.9478 (2.6579) Prec@1 32.812 (42.674) Prec@5 60.938 (67.724) Epoch: [28][9920/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4790 (2.6580) Prec@1 46.094 (42.673) Prec@5 66.406 (67.723) Epoch: [28][9930/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.6897 (2.6580) Prec@1 42.188 (42.672) Prec@5 64.844 (67.721) Epoch: [28][9940/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3122 (2.6580) Prec@1 49.219 (42.673) Prec@5 71.875 (67.721) Epoch: [28][9950/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 2.6556 (2.6580) Prec@1 39.062 (42.671) Prec@5 66.406 (67.720) Epoch: [28][9960/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8546 (2.6580) Prec@1 44.531 (42.672) Prec@5 65.625 (67.719) Epoch: [28][9970/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9982 (2.6580) Prec@1 34.375 (42.670) Prec@5 70.312 (67.718) Epoch: [28][9980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.9376 (2.6580) Prec@1 40.625 (42.669) Prec@5 60.156 (67.717) Epoch: [28][9990/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5896 (2.6580) Prec@1 42.969 (42.671) Prec@5 64.844 (67.718) Epoch: [28][10000/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.0318 (2.6580) Prec@1 32.031 (42.670) Prec@5 64.844 (67.716) Test: [0/391] Time 1.519 (1.519) Loss 0.8391 (0.8391) Prec@1 79.688 (79.688) Prec@5 94.531 (94.531) Test: [10/391] Time 0.109 (0.238) Loss 2.8472 (1.6399) Prec@1 42.969 (62.784) Prec@5 68.750 (83.665) Test: [20/391] Time 0.110 (0.177) Loss 2.6138 (2.1083) Prec@1 41.406 (53.274) Prec@5 72.656 (76.823) Test: [30/391] Time 0.107 (0.154) Loss 2.9957 (2.3983) Prec@1 35.938 (47.782) Prec@5 64.062 (73.059) Test: [40/391] Time 0.102 (0.142) Loss 2.3470 (2.2038) Prec@1 44.531 (51.753) Prec@5 67.969 (75.514) Test: [50/391] Time 0.108 (0.136) Loss 1.7154 (2.1677) Prec@1 53.125 (52.022) Prec@5 81.250 (76.394) Test: [60/391] Time 0.101 (0.131) Loss 2.4552 (2.0873) Prec@1 36.719 (53.637) Prec@5 68.750 (77.523) Test: [70/391] Time 0.102 (0.127) Loss 2.0339 (2.1164) Prec@1 45.312 (51.937) Prec@5 82.031 (77.509) Test: [80/391] Time 0.101 (0.124) Loss 2.1820 (2.1064) Prec@1 43.750 (51.148) Prec@5 70.312 (77.797) Test: [90/391] Time 0.101 (0.122) Loss 1.7506 (2.0850) Prec@1 43.750 (51.090) Prec@5 87.500 (78.228) Test: [100/391] Time 0.104 (0.121) Loss 1.9196 (2.0651) Prec@1 44.531 (50.781) Prec@5 87.500 (78.829) Test: [110/391] Time 0.108 (0.120) Loss 2.7706 (2.0646) Prec@1 35.938 (50.472) Prec@5 68.750 (78.885) Test: [120/391] Time 0.112 (0.119) Loss 2.2180 (2.0668) Prec@1 46.094 (50.555) Prec@5 72.656 (78.758) Test: [130/391] Time 0.109 (0.119) Loss 1.5119 (2.0671) Prec@1 64.062 (50.865) Prec@5 87.500 (78.739) Test: [140/391] Time 0.110 (0.118) Loss 2.3936 (2.0592) Prec@1 40.625 (50.881) Prec@5 75.781 (78.879) Test: [150/391] Time 0.113 (0.117) Loss 2.2007 (2.0688) Prec@1 35.156 (50.797) Prec@5 74.219 (78.741) Test: [160/391] Time 0.115 (0.117) Loss 2.2632 (2.0703) Prec@1 43.750 (50.951) Prec@5 75.000 (78.741) Test: [170/391] Time 0.105 (0.116) Loss 2.5687 (2.1087) Prec@1 32.031 (50.402) Prec@5 77.344 (78.152) Test: [180/391] Time 0.103 (0.115) Loss 3.5009 (2.1500) Prec@1 26.562 (49.780) Prec@5 61.719 (77.547) Test: [190/391] Time 0.106 (0.115) Loss 4.1843 (2.1858) Prec@1 21.094 (49.276) Prec@5 55.469 (76.931) Test: [200/391] Time 0.104 (0.115) Loss 3.2774 (2.2348) Prec@1 30.469 (48.640) Prec@5 57.031 (76.150) Test: [210/391] Time 0.104 (0.114) Loss 2.4936 (2.2550) Prec@1 41.406 (48.326) Prec@5 71.094 (75.781) Test: [220/391] Time 0.105 (0.114) Loss 1.7627 (2.2713) Prec@1 58.594 (48.201) Prec@5 80.469 (75.357) Test: [230/391] Time 0.103 (0.114) Loss 3.4094 (2.2892) Prec@1 39.062 (48.005) Prec@5 57.812 (75.037) Test: [240/391] Time 0.106 (0.114) Loss 3.1562 (2.3098) Prec@1 27.344 (47.663) Prec@5 63.281 (74.640) Test: [250/391] Time 0.108 (0.113) Loss 2.4036 (2.3362) Prec@1 53.125 (47.255) Prec@5 73.438 (74.250) Test: [260/391] Time 0.105 (0.113) Loss 3.2249 (2.3534) Prec@1 27.344 (46.836) Prec@5 61.719 (74.000) Test: [270/391] Time 0.102 (0.113) Loss 3.1551 (2.3670) Prec@1 21.875 (46.607) Prec@5 64.844 (73.700) Test: [280/391] Time 0.102 (0.113) Loss 3.2542 (2.3840) Prec@1 20.312 (46.350) Prec@5 57.812 (73.393) Test: [290/391] Time 0.106 (0.112) Loss 3.3794 (2.3956) Prec@1 20.312 (46.180) Prec@5 62.500 (73.220) Test: [300/391] Time 0.101 (0.112) Loss 3.1245 (2.4186) Prec@1 36.719 (45.873) Prec@5 69.531 (72.872) Test: [310/391] Time 0.107 (0.112) Loss 2.8981 (2.4330) Prec@1 42.188 (45.735) Prec@5 67.969 (72.619) Test: [320/391] Time 0.106 (0.112) Loss 1.7866 (2.4355) Prec@1 57.812 (45.758) Prec@5 87.500 (72.566) Test: [330/391] Time 0.107 (0.112) Loss 3.0361 (2.4617) Prec@1 28.906 (45.360) Prec@5 65.625 (72.125) Test: [340/391] Time 0.105 (0.112) Loss 2.9532 (2.4685) Prec@1 42.969 (45.209) Prec@5 64.062 (72.008) Test: [350/391] Time 0.103 (0.111) Loss 2.4657 (2.4763) Prec@1 39.844 (45.097) Prec@5 72.656 (71.886) Test: [360/391] Time 0.106 (0.111) Loss 1.7969 (2.4816) Prec@1 53.906 (45.010) Prec@5 85.156 (71.847) Test: [370/391] Time 0.110 (0.111) Loss 2.1315 (2.4725) Prec@1 39.844 (45.102) Prec@5 84.375 (71.995) Test: [380/391] Time 0.099 (0.111) Loss 1.5733 (2.4719) Prec@1 61.719 (45.159) Prec@5 86.719 (72.025) Test: [390/391] Time 0.071 (0.111) Loss 3.6349 (2.4588) Prec@1 31.250 (45.380) Prec@5 53.750 (72.210) * Prec@1 45.380 Prec@5 72.210 Epoch: [29][0/10010] Time 2.582 (2.582) Data 2.401 (2.401) Loss 2.1315 (2.1315) Prec@1 52.344 (52.344) Prec@5 76.562 (76.562) Epoch: [29][10/10010] Time 0.317 (0.529) Data 0.000 (0.224) Loss 2.6471 (2.6497) Prec@1 39.844 (41.548) Prec@5 65.625 (67.756) Epoch: [29][20/10010] Time 0.321 (0.429) Data 0.000 (0.118) Loss 2.5501 (2.6790) Prec@1 45.312 (41.332) Prec@5 65.625 (67.448) Epoch: [29][30/10010] Time 0.318 (0.394) Data 0.000 (0.080) Loss 2.6021 (2.6567) Prec@1 45.312 (42.162) Prec@5 67.188 (67.742) Epoch: [29][40/10010] Time 0.323 (0.378) Data 0.001 (0.061) Loss 2.5347 (2.6428) Prec@1 40.625 (42.149) Prec@5 70.312 (67.873) Epoch: [29][50/10010] Time 0.340 (0.371) Data 0.000 (0.049) Loss 2.1993 (2.6359) Prec@1 46.094 (42.172) Prec@5 78.906 (67.953) Epoch: [29][60/10010] Time 0.325 (0.364) Data 0.001 (0.041) Loss 2.3299 (2.6415) Prec@1 48.438 (42.162) Prec@5 72.656 (67.879) Epoch: [29][70/10010] Time 0.342 (0.359) Data 0.000 (0.035) Loss 2.4105 (2.6268) Prec@1 52.344 (42.408) Prec@5 71.875 (68.068) Epoch: [29][80/10010] Time 0.319 (0.356) Data 0.001 (0.031) Loss 2.5677 (2.6226) Prec@1 43.750 (42.554) Prec@5 63.281 (68.142) Epoch: [29][90/10010] Time 0.328 (0.353) Data 0.000 (0.028) Loss 2.5646 (2.6168) Prec@1 47.656 (42.728) Prec@5 71.094 (68.243) Epoch: [29][100/10010] Time 0.326 (0.351) Data 0.000 (0.025) Loss 2.4247 (2.6127) Prec@1 46.094 (42.876) Prec@5 69.531 (68.325) Epoch: [29][110/10010] Time 0.337 (0.349) Data 0.001 (0.023) Loss 2.6845 (2.6144) Prec@1 42.969 (42.941) Prec@5 65.625 (68.264) Epoch: [29][120/10010] Time 0.343 (0.348) Data 0.000 (0.021) Loss 2.5888 (2.5979) Prec@1 44.531 (43.208) Prec@5 70.312 (68.550) Epoch: [29][130/10010] Time 0.320 (0.347) Data 0.001 (0.019) Loss 2.3868 (2.5943) Prec@1 43.750 (43.279) Prec@5 75.000 (68.661) Epoch: [29][140/10010] Time 0.336 (0.347) Data 0.000 (0.018) Loss 2.4830 (2.6014) Prec@1 40.625 (43.118) Prec@5 73.438 (68.628) Epoch: [29][150/10010] Time 0.337 (0.345) Data 0.001 (0.017) Loss 2.7604 (2.6085) Prec@1 43.750 (43.057) Prec@5 62.500 (68.507) Epoch: [29][160/10010] Time 0.340 (0.345) Data 0.000 (0.016) Loss 2.6299 (2.6065) Prec@1 46.875 (43.105) Prec@5 67.969 (68.600) Epoch: [29][170/10010] Time 0.324 (0.344) Data 0.000 (0.015) Loss 2.7443 (2.6109) Prec@1 46.875 (43.019) Prec@5 64.844 (68.499) Epoch: [29][180/10010] Time 0.346 (0.344) Data 0.000 (0.014) Loss 2.5458 (2.6081) Prec@1 42.969 (43.111) Prec@5 66.406 (68.521) Epoch: [29][190/10010] Time 0.317 (0.343) Data 0.001 (0.013) Loss 2.9118 (2.6100) Prec@1 35.938 (43.112) Prec@5 63.281 (68.415) Epoch: [29][200/10010] Time 0.340 (0.343) Data 0.000 (0.013) Loss 2.4573 (2.6087) Prec@1 47.656 (43.097) Prec@5 71.094 (68.431) Epoch: [29][210/10010] Time 0.324 (0.342) Data 0.001 (0.012) Loss 2.7956 (2.6096) Prec@1 39.844 (43.139) Prec@5 67.188 (68.435) Epoch: [29][220/10010] Time 0.321 (0.341) Data 0.001 (0.012) Loss 2.7209 (2.6125) Prec@1 38.281 (43.131) Prec@5 65.625 (68.400) Epoch: [29][230/10010] Time 0.326 (0.341) Data 0.000 (0.011) Loss 2.4145 (2.6165) Prec@1 52.344 (43.118) Prec@5 73.438 (68.354) Epoch: [29][240/10010] Time 0.329 (0.340) Data 0.001 (0.011) Loss 2.6562 (2.6169) Prec@1 47.656 (43.166) Prec@5 68.750 (68.325) Epoch: [29][250/10010] Time 0.327 (0.340) Data 0.000 (0.010) Loss 3.0722 (2.6213) Prec@1 27.344 (43.099) Prec@5 60.156 (68.215) Epoch: [29][260/10010] Time 0.341 (0.340) Data 0.001 (0.010) Loss 2.3790 (2.6209) Prec@1 49.219 (43.115) Prec@5 73.438 (68.271) Epoch: [29][270/10010] Time 0.329 (0.339) Data 0.000 (0.010) Loss 2.3991 (2.6232) Prec@1 53.125 (43.096) Prec@5 69.531 (68.266) Epoch: [29][280/10010] Time 0.338 (0.339) Data 0.001 (0.009) Loss 2.6996 (2.6215) Prec@1 39.844 (43.022) Prec@5 64.062 (68.314) Epoch: [29][290/10010] Time 0.340 (0.339) Data 0.000 (0.009) Loss 2.6690 (2.6259) Prec@1 43.750 (42.963) Prec@5 71.875 (68.240) Epoch: [29][300/10010] Time 0.331 (0.339) Data 0.001 (0.009) Loss 2.6137 (2.6256) Prec@1 47.656 (42.987) Prec@5 69.531 (68.259) Epoch: [29][310/10010] Time 0.320 (0.338) Data 0.000 (0.008) Loss 2.3131 (2.6203) Prec@1 46.875 (43.032) Prec@5 73.438 (68.333) Epoch: [29][320/10010] Time 0.324 (0.338) Data 0.001 (0.008) Loss 2.5422 (2.6226) Prec@1 42.188 (42.974) Prec@5 69.531 (68.288) Epoch: [29][330/10010] Time 0.340 (0.338) Data 0.003 (0.008) Loss 2.2636 (2.6209) Prec@1 51.562 (42.997) Prec@5 75.781 (68.309) Epoch: [29][340/10010] Time 0.327 (0.338) Data 0.000 (0.008) Loss 2.8925 (2.6238) Prec@1 46.094 (43.003) Prec@5 65.625 (68.280) Epoch: [29][350/10010] Time 0.326 (0.338) Data 0.001 (0.008) Loss 2.5514 (2.6249) Prec@1 43.750 (43.013) Prec@5 69.531 (68.294) Epoch: [29][360/10010] Time 0.345 (0.338) Data 0.001 (0.007) Loss 2.9413 (2.6211) Prec@1 39.844 (43.107) Prec@5 64.062 (68.347) Epoch: [29][370/10010] Time 0.317 (0.338) Data 0.001 (0.007) Loss 2.3636 (2.6233) Prec@1 46.094 (43.080) Prec@5 69.531 (68.287) Epoch: [29][380/10010] Time 0.336 (0.337) Data 0.001 (0.007) Loss 2.4487 (2.6213) Prec@1 46.875 (43.139) Prec@5 71.875 (68.373) Epoch: [29][390/10010] Time 0.326 (0.337) Data 0.001 (0.007) Loss 2.6064 (2.6223) Prec@1 46.094 (43.109) Prec@5 68.750 (68.360) Epoch: [29][400/10010] Time 0.325 (0.337) Data 0.001 (0.007) Loss 2.3576 (2.6226) Prec@1 49.219 (43.111) Prec@5 72.656 (68.353) Epoch: [29][410/10010] Time 0.317 (0.337) Data 0.001 (0.007) Loss 2.7232 (2.6223) Prec@1 40.625 (43.138) Prec@5 63.281 (68.353) Epoch: [29][420/10010] Time 0.329 (0.336) Data 0.000 (0.006) Loss 2.6733 (2.6264) Prec@1 45.312 (43.071) Prec@5 65.625 (68.264) Epoch: [29][430/10010] Time 0.326 (0.336) Data 0.001 (0.006) Loss 2.8574 (2.6276) Prec@1 39.062 (43.043) Prec@5 59.375 (68.224) Epoch: [29][440/10010] Time 0.329 (0.336) Data 0.000 (0.006) Loss 2.6657 (2.6281) Prec@1 44.531 (42.990) Prec@5 66.406 (68.213) Epoch: [29][450/10010] Time 0.328 (0.336) Data 0.000 (0.006) Loss 2.6920 (2.6277) Prec@1 49.219 (42.996) Prec@5 68.750 (68.201) Epoch: [29][460/10010] Time 0.330 (0.336) Data 0.000 (0.006) Loss 2.6654 (2.6281) Prec@1 44.531 (42.984) Prec@5 70.312 (68.182) Epoch: [29][470/10010] Time 0.339 (0.336) Data 0.001 (0.006) Loss 2.6515 (2.6272) Prec@1 45.312 (43.000) Prec@5 71.875 (68.216) Epoch: [29][480/10010] Time 0.347 (0.336) Data 0.000 (0.006) Loss 3.2205 (2.6292) Prec@1 32.031 (42.975) Prec@5 56.250 (68.180) Epoch: [29][490/10010] Time 0.325 (0.336) Data 0.000 (0.006) Loss 3.1265 (2.6289) Prec@1 36.719 (42.999) Prec@5 61.719 (68.203) Epoch: [29][500/10010] Time 0.334 (0.336) Data 0.001 (0.005) Loss 2.6853 (2.6300) Prec@1 44.531 (42.989) Prec@5 67.188 (68.173) Epoch: [29][510/10010] Time 0.320 (0.336) Data 0.001 (0.005) Loss 2.5950 (2.6284) Prec@1 37.500 (42.984) Prec@5 68.750 (68.204) Epoch: [29][520/10010] Time 0.347 (0.335) Data 0.001 (0.005) Loss 2.4640 (2.6284) Prec@1 50.000 (42.973) Prec@5 67.188 (68.201) Epoch: [29][530/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 2.7576 (2.6280) Prec@1 35.938 (42.964) Prec@5 64.062 (68.229) Epoch: [29][540/10010] Time 0.329 (0.335) Data 0.000 (0.005) Loss 2.4851 (2.6273) Prec@1 45.312 (42.956) Prec@5 70.312 (68.260) Epoch: [29][550/10010] Time 0.323 (0.335) Data 0.001 (0.005) Loss 2.7718 (2.6287) Prec@1 45.312 (42.932) Prec@5 64.844 (68.248) Epoch: [29][560/10010] Time 0.329 (0.335) Data 0.000 (0.005) Loss 2.2988 (2.6290) Prec@1 51.562 (42.926) Prec@5 73.438 (68.233) Epoch: [29][570/10010] Time 0.346 (0.335) Data 0.001 (0.005) Loss 2.5251 (2.6310) Prec@1 43.750 (42.874) Prec@5 72.656 (68.211) Epoch: [29][580/10010] Time 0.333 (0.335) Data 0.001 (0.005) Loss 2.8780 (2.6320) Prec@1 35.938 (42.857) Prec@5 60.938 (68.183) Epoch: [29][590/10010] Time 0.335 (0.335) Data 0.001 (0.005) Loss 2.3269 (2.6302) Prec@1 57.812 (42.904) Prec@5 72.656 (68.204) Epoch: [29][600/10010] Time 0.331 (0.335) Data 0.000 (0.005) Loss 2.5327 (2.6304) Prec@1 45.312 (42.930) Prec@5 67.188 (68.199) Epoch: [29][610/10010] Time 0.328 (0.335) Data 0.000 (0.005) Loss 2.9231 (2.6308) Prec@1 38.281 (42.914) Prec@5 60.156 (68.193) Epoch: [29][620/10010] Time 0.329 (0.335) Data 0.001 (0.005) Loss 2.8595 (2.6301) Prec@1 38.281 (42.908) Prec@5 65.625 (68.215) Epoch: [29][630/10010] Time 0.335 (0.335) Data 0.001 (0.004) Loss 2.5837 (2.6289) Prec@1 42.969 (42.916) Prec@5 70.312 (68.220) Epoch: [29][640/10010] Time 0.338 (0.335) Data 0.001 (0.004) Loss 2.3593 (2.6262) Prec@1 43.750 (42.968) Prec@5 68.750 (68.258) Epoch: [29][650/10010] Time 0.343 (0.335) Data 0.001 (0.004) Loss 2.7069 (2.6264) Prec@1 42.969 (42.962) Prec@5 67.188 (68.253) Epoch: [29][660/10010] Time 0.339 (0.335) Data 0.001 (0.004) Loss 2.7166 (2.6287) Prec@1 40.625 (42.924) Prec@5 67.188 (68.231) Epoch: [29][670/10010] Time 0.337 (0.335) Data 0.001 (0.004) Loss 2.2304 (2.6296) Prec@1 50.781 (42.927) Prec@5 75.781 (68.216) Epoch: [29][680/10010] Time 0.343 (0.335) Data 0.000 (0.004) Loss 2.5779 (2.6291) Prec@1 45.312 (42.930) Prec@5 68.750 (68.217) Epoch: [29][690/10010] Time 0.340 (0.335) Data 0.000 (0.004) Loss 2.9971 (2.6309) Prec@1 39.062 (42.888) Prec@5 65.625 (68.205) Epoch: [29][700/10010] Time 0.322 (0.335) Data 0.000 (0.004) Loss 2.7225 (2.6298) Prec@1 45.312 (42.899) Prec@5 65.625 (68.218) Epoch: [29][710/10010] Time 0.324 (0.335) Data 0.000 (0.004) Loss 2.5988 (2.6293) Prec@1 44.531 (42.895) Prec@5 67.188 (68.227) Epoch: [29][720/10010] Time 0.339 (0.335) Data 0.000 (0.004) Loss 3.0822 (2.6272) Prec@1 35.938 (42.913) Prec@5 60.156 (68.256) Epoch: [29][730/10010] Time 0.318 (0.335) Data 0.000 (0.004) Loss 2.6171 (2.6280) Prec@1 44.531 (42.920) Prec@5 62.500 (68.227) Epoch: [29][740/10010] Time 0.341 (0.335) Data 0.001 (0.004) Loss 2.4598 (2.6273) Prec@1 47.656 (42.953) Prec@5 69.531 (68.245) Epoch: [29][750/10010] Time 0.344 (0.335) Data 0.000 (0.004) Loss 2.3918 (2.6276) Prec@1 50.000 (42.947) Prec@5 67.969 (68.244) Epoch: [29][760/10010] Time 0.334 (0.335) Data 0.000 (0.004) Loss 2.5078 (2.6270) Prec@1 53.125 (42.983) Prec@5 71.875 (68.246) Epoch: [29][770/10010] Time 0.319 (0.335) Data 0.001 (0.004) Loss 2.6610 (2.6268) Prec@1 41.406 (42.994) Prec@5 67.969 (68.249) Epoch: [29][780/10010] Time 0.336 (0.335) Data 0.001 (0.004) Loss 2.6233 (2.6271) Prec@1 45.312 (43.006) Prec@5 67.969 (68.243) Epoch: [29][790/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 2.6054 (2.6279) Prec@1 46.094 (42.998) Prec@5 68.750 (68.234) Epoch: [29][800/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 2.4954 (2.6279) Prec@1 43.750 (42.996) Prec@5 70.312 (68.230) Epoch: [29][810/10010] Time 0.327 (0.334) Data 0.000 (0.004) Loss 2.6793 (2.6281) Prec@1 42.969 (43.000) Prec@5 68.750 (68.221) Epoch: [29][820/10010] Time 0.321 (0.334) Data 0.000 (0.004) Loss 2.3647 (2.6275) Prec@1 40.625 (42.999) Prec@5 73.438 (68.241) Epoch: [29][830/10010] Time 0.321 (0.334) Data 0.000 (0.004) Loss 3.2149 (2.6278) Prec@1 33.594 (42.999) Prec@5 58.594 (68.248) Epoch: [29][840/10010] Time 0.318 (0.334) Data 0.000 (0.003) Loss 2.5773 (2.6270) Prec@1 45.312 (43.004) Prec@5 66.406 (68.260) Epoch: [29][850/10010] Time 0.321 (0.334) Data 0.001 (0.003) Loss 2.5412 (2.6271) Prec@1 45.312 (43.026) Prec@5 68.750 (68.263) Epoch: [29][860/10010] Time 0.336 (0.334) Data 0.000 (0.003) Loss 2.3503 (2.6264) Prec@1 50.781 (43.038) Prec@5 75.000 (68.277) Epoch: [29][870/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 2.9856 (2.6259) Prec@1 37.500 (43.045) Prec@5 63.281 (68.276) Epoch: [29][880/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 2.9099 (2.6270) Prec@1 40.625 (43.033) Prec@5 61.719 (68.256) Epoch: [29][890/10010] Time 0.338 (0.334) Data 0.000 (0.003) Loss 2.9536 (2.6285) Prec@1 34.375 (43.011) Prec@5 62.500 (68.238) /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: [29][900/10010] Time 0.337 (0.334) Data 0.001 (0.003) Loss 2.6742 (2.6294) Prec@1 42.188 (42.994) Prec@5 72.656 (68.225) Epoch: [29][910/10010] Time 0.319 (0.334) Data 0.000 (0.003) Loss 2.7069 (2.6301) Prec@1 42.188 (42.990) Prec@5 67.969 (68.213) Epoch: [29][920/10010] Time 0.335 (0.334) Data 0.000 (0.003) Loss 2.8920 (2.6293) Prec@1 35.938 (43.005) Prec@5 69.531 (68.233) Epoch: [29][930/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.7275 (2.6297) Prec@1 42.188 (42.998) Prec@5 68.750 (68.228) Epoch: [29][940/10010] Time 0.339 (0.334) Data 0.000 (0.003) Loss 2.8806 (2.6303) Prec@1 39.844 (43.001) Prec@5 68.750 (68.227) Epoch: [29][950/10010] Time 0.334 (0.334) Data 0.001 (0.003) Loss 2.6747 (2.6301) Prec@1 42.969 (43.003) Prec@5 65.625 (68.222) Epoch: [29][960/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 2.4672 (2.6281) Prec@1 46.875 (43.057) Prec@5 68.750 (68.251) Epoch: [29][970/10010] Time 0.341 (0.334) Data 0.000 (0.003) Loss 2.4381 (2.6274) Prec@1 48.438 (43.069) Prec@5 69.531 (68.267) Epoch: [29][980/10010] Time 0.335 (0.334) Data 0.000 (0.003) Loss 2.5809 (2.6277) Prec@1 45.312 (43.068) Prec@5 68.750 (68.272) Epoch: [29][990/10010] Time 0.330 (0.334) Data 0.000 (0.003) Loss 3.0172 (2.6273) Prec@1 33.594 (43.067) Prec@5 64.062 (68.295) Epoch: [29][1000/10010] Time 0.343 (0.334) Data 0.000 (0.003) Loss 2.6434 (2.6279) Prec@1 44.531 (43.051) Prec@5 65.625 (68.271) /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: [29][1010/10010] Time 0.336 (0.334) Data 0.000 (0.003) Loss 2.8751 (2.6281) Prec@1 42.188 (43.056) Prec@5 62.500 (68.272) Epoch: [29][1020/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 2.6553 (2.6291) Prec@1 42.969 (43.032) Prec@5 69.531 (68.266) Epoch: [29][1030/10010] Time 0.334 (0.334) Data 0.000 (0.003) Loss 2.6947 (2.6295) Prec@1 39.062 (43.029) Prec@5 67.188 (68.245) Epoch: [29][1040/10010] Time 0.316 (0.334) Data 0.000 (0.003) Loss 2.6348 (2.6296) Prec@1 42.188 (43.032) Prec@5 63.281 (68.243) Epoch: [29][1050/10010] Time 0.323 (0.334) Data 0.001 (0.003) Loss 2.9321 (2.6295) Prec@1 36.719 (43.032) Prec@5 64.062 (68.242) Epoch: [29][1060/10010] Time 0.331 (0.334) Data 0.000 (0.003) Loss 2.6222 (2.6300) Prec@1 43.750 (43.023) Prec@5 71.094 (68.235) Epoch: [29][1070/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.4871 (2.6289) Prec@1 44.531 (43.045) Prec@5 71.875 (68.260) Epoch: [29][1080/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 2.8033 (2.6288) Prec@1 46.094 (43.054) Prec@5 64.062 (68.251) Epoch: [29][1090/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.4837 (2.6281) Prec@1 47.656 (43.079) Prec@5 72.656 (68.259) Epoch: [29][1100/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.7504 (2.6282) Prec@1 41.406 (43.072) Prec@5 67.969 (68.257) Epoch: [29][1110/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 2.5597 (2.6283) Prec@1 42.969 (43.071) Prec@5 72.656 (68.263) Epoch: [29][1120/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.9261 (2.6287) Prec@1 39.062 (43.082) Prec@5 64.062 (68.266) Epoch: [29][1130/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.6366 (2.6281) Prec@1 43.750 (43.103) Prec@5 65.625 (68.275) Epoch: [29][1140/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.4490 (2.6279) Prec@1 46.875 (43.095) Prec@5 71.875 (68.277) Epoch: [29][1150/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.9270 (2.6284) Prec@1 32.031 (43.083) Prec@5 64.062 (68.270) Epoch: [29][1160/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.9141 (2.6285) Prec@1 37.500 (43.080) Prec@5 68.750 (68.277) Epoch: [29][1170/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 2.9186 (2.6284) Prec@1 35.938 (43.074) Prec@5 60.156 (68.293) Epoch: [29][1180/10010] Time 0.349 (0.333) Data 0.001 (0.003) Loss 2.3552 (2.6290) Prec@1 51.562 (43.062) Prec@5 71.094 (68.285) Epoch: [29][1190/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 2.6718 (2.6290) Prec@1 40.625 (43.055) Prec@5 66.406 (68.285) Epoch: [29][1200/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 2.7765 (2.6287) Prec@1 41.406 (43.058) Prec@5 68.750 (68.297) Epoch: [29][1210/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 2.9047 (2.6289) Prec@1 40.625 (43.056) Prec@5 63.281 (68.294) Epoch: [29][1220/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.5385 (2.6295) Prec@1 47.656 (43.042) Prec@5 65.625 (68.293) Epoch: [29][1230/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 2.6977 (2.6286) Prec@1 40.625 (43.049) Prec@5 64.062 (68.296) Epoch: [29][1240/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.7507 (2.6289) Prec@1 42.188 (43.032) Prec@5 68.750 (68.293) Epoch: [29][1250/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 2.5960 (2.6288) Prec@1 41.406 (43.040) Prec@5 65.625 (68.292) Epoch: [29][1260/10010] Time 0.317 (0.333) Data 0.000 (0.003) Loss 2.8620 (2.6286) Prec@1 37.500 (43.054) Prec@5 65.625 (68.297) Epoch: [29][1270/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.8052 (2.6285) Prec@1 37.500 (43.059) Prec@5 66.406 (68.297) Epoch: [29][1280/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.1977 (2.6280) Prec@1 51.562 (43.074) Prec@5 72.656 (68.308) Epoch: [29][1290/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.0549 (2.6285) Prec@1 57.031 (43.081) Prec@5 75.000 (68.283) Epoch: [29][1300/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5534 (2.6287) Prec@1 46.094 (43.084) Prec@5 69.531 (68.267) Epoch: [29][1310/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 2.8503 (2.6296) Prec@1 39.844 (43.069) Prec@5 62.500 (68.249) Epoch: [29][1320/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.5518 (2.6292) Prec@1 42.188 (43.072) Prec@5 74.219 (68.260) Epoch: [29][1330/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 2.6519 (2.6298) Prec@1 42.188 (43.061) Prec@5 67.969 (68.255) Epoch: [29][1340/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.7277 (2.6302) Prec@1 46.094 (43.054) Prec@5 64.062 (68.248) Epoch: [29][1350/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.9460 (2.6301) Prec@1 39.844 (43.051) Prec@5 62.500 (68.254) Epoch: [29][1360/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 2.7632 (2.6297) Prec@1 42.188 (43.056) Prec@5 66.406 (68.267) Epoch: [29][1370/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 2.3613 (2.6290) Prec@1 43.750 (43.066) Prec@5 71.875 (68.283) Epoch: [29][1380/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.6855 (2.6294) Prec@1 40.625 (43.062) Prec@5 62.500 (68.264) Epoch: [29][1390/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.4037 (2.6287) Prec@1 48.438 (43.079) Prec@5 74.219 (68.270) Epoch: [29][1400/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 2.7309 (2.6292) Prec@1 43.750 (43.067) Prec@5 63.281 (68.260) Epoch: [29][1410/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.4159 (2.6292) Prec@1 47.656 (43.067) Prec@5 71.875 (68.271) Epoch: [29][1420/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 2.8797 (2.6293) Prec@1 41.406 (43.065) Prec@5 62.500 (68.266) Epoch: [29][1430/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.6138 (2.6296) Prec@1 44.531 (43.057) Prec@5 69.531 (68.262) Epoch: [29][1440/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 2.5488 (2.6299) Prec@1 42.969 (43.054) Prec@5 72.656 (68.260) Epoch: [29][1450/10010] Time 0.316 (0.333) Data 0.001 (0.002) Loss 2.3996 (2.6300) Prec@1 44.531 (43.048) Prec@5 71.094 (68.265) Epoch: [29][1460/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 2.4961 (2.6295) Prec@1 48.438 (43.058) Prec@5 69.531 (68.256) Epoch: [29][1470/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.5213 (2.6296) Prec@1 43.750 (43.063) Prec@5 71.094 (68.254) Epoch: [29][1480/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.5052 (2.6295) Prec@1 46.875 (43.058) Prec@5 65.625 (68.249) Epoch: [29][1490/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.6617 (2.6295) Prec@1 42.188 (43.051) Prec@5 66.406 (68.255) Epoch: [29][1500/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 2.7057 (2.6293) Prec@1 38.281 (43.047) Prec@5 65.625 (68.262) Epoch: [29][1510/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.5570 (2.6294) Prec@1 46.094 (43.050) Prec@5 67.188 (68.266) Epoch: [29][1520/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 2.6449 (2.6292) Prec@1 42.969 (43.055) Prec@5 67.188 (68.271) Epoch: [29][1530/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 2.4227 (2.6291) Prec@1 45.312 (43.049) Prec@5 71.875 (68.272) Epoch: [29][1540/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.2233 (2.6289) Prec@1 50.000 (43.052) Prec@5 73.438 (68.270) Epoch: [29][1550/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 2.4421 (2.6291) Prec@1 45.312 (43.063) Prec@5 68.750 (68.265) Epoch: [29][1560/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.6661 (2.6289) Prec@1 41.406 (43.070) Prec@5 71.094 (68.271) Epoch: [29][1570/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.8810 (2.6291) Prec@1 39.062 (43.070) Prec@5 65.625 (68.273) Epoch: [29][1580/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 2.7622 (2.6297) Prec@1 46.094 (43.063) Prec@5 67.969 (68.263) Epoch: [29][1590/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.7090 (2.6299) Prec@1 42.188 (43.057) Prec@5 67.969 (68.252) Epoch: [29][1600/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.3121 (2.6294) Prec@1 50.000 (43.077) Prec@5 73.438 (68.252) Epoch: [29][1610/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 3.1282 (2.6296) Prec@1 32.812 (43.073) Prec@5 59.375 (68.241) Epoch: [29][1620/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.7781 (2.6307) Prec@1 39.844 (43.051) Prec@5 66.406 (68.228) Epoch: [29][1630/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 3.1080 (2.6311) Prec@1 36.719 (43.041) Prec@5 62.500 (68.226) Epoch: [29][1640/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.8517 (2.6313) Prec@1 39.844 (43.030) Prec@5 65.625 (68.219) Epoch: [29][1650/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.6677 (2.6318) Prec@1 41.406 (43.030) Prec@5 67.969 (68.212) Epoch: [29][1660/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.8402 (2.6316) Prec@1 35.938 (43.032) Prec@5 65.625 (68.215) Epoch: [29][1670/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.3501 (2.6313) Prec@1 43.750 (43.046) Prec@5 71.094 (68.218) Epoch: [29][1680/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6758 (2.6317) Prec@1 39.062 (43.041) Prec@5 67.188 (68.208) Epoch: [29][1690/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.2917 (2.6311) Prec@1 48.438 (43.050) Prec@5 75.000 (68.217) Epoch: [29][1700/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.7943 (2.6314) Prec@1 38.281 (43.047) Prec@5 66.406 (68.203) Epoch: [29][1710/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.7109 (2.6318) Prec@1 39.062 (43.044) Prec@5 67.188 (68.198) Epoch: [29][1720/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.6267 (2.6323) Prec@1 39.844 (43.036) Prec@5 64.062 (68.188) Epoch: [29][1730/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.7473 (2.6329) Prec@1 40.625 (43.020) Prec@5 63.281 (68.180) Epoch: [29][1740/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.7360 (2.6329) Prec@1 43.750 (43.030) Prec@5 68.750 (68.184) /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: [29][1750/10010] Time 0.313 (0.332) Data 0.000 (0.002) Loss 2.6115 (2.6332) Prec@1 42.188 (43.019) Prec@5 69.531 (68.177) Epoch: [29][1760/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.7245 (2.6327) Prec@1 42.969 (43.021) Prec@5 65.625 (68.191) Epoch: [29][1770/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 3.1777 (2.6328) Prec@1 37.500 (43.020) Prec@5 59.375 (68.188) Epoch: [29][1780/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.7548 (2.6325) Prec@1 40.625 (43.028) Prec@5 66.406 (68.195) Epoch: [29][1790/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 2.6237 (2.6328) Prec@1 47.656 (43.030) Prec@5 71.094 (68.199) Epoch: [29][1800/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.1535 (2.6330) Prec@1 50.781 (43.023) Prec@5 76.562 (68.190) Epoch: [29][1810/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.5830 (2.6329) Prec@1 49.219 (43.036) Prec@5 67.188 (68.198) Epoch: [29][1820/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.8397 (2.6328) Prec@1 42.969 (43.039) Prec@5 63.281 (68.192) Epoch: [29][1830/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.3258 (2.6329) Prec@1 46.875 (43.048) Prec@5 71.875 (68.184) Epoch: [29][1840/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 2.8488 (2.6330) Prec@1 41.406 (43.040) Prec@5 64.062 (68.179) Epoch: [29][1850/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.5792 (2.6329) Prec@1 50.000 (43.038) Prec@5 71.875 (68.181) Epoch: [29][1860/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.7940 (2.6331) Prec@1 38.281 (43.039) Prec@5 70.312 (68.185) Epoch: [29][1870/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.5859 (2.6329) Prec@1 35.938 (43.036) Prec@5 70.312 (68.191) Epoch: [29][1880/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.4640 (2.6333) Prec@1 46.875 (43.034) Prec@5 69.531 (68.178) Epoch: [29][1890/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.4087 (2.6335) Prec@1 50.000 (43.029) Prec@5 67.969 (68.176) Epoch: [29][1900/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.2299 (2.6334) Prec@1 50.000 (43.037) Prec@5 76.562 (68.175) Epoch: [29][1910/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.7595 (2.6334) Prec@1 39.844 (43.033) Prec@5 64.844 (68.171) Epoch: [29][1920/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.4870 (2.6330) Prec@1 42.969 (43.035) Prec@5 71.094 (68.177) Epoch: [29][1930/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.5155 (2.6333) Prec@1 45.312 (43.034) Prec@5 69.531 (68.175) Epoch: [29][1940/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.5856 (2.6332) Prec@1 41.406 (43.031) Prec@5 65.625 (68.178) Epoch: [29][1950/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.6887 (2.6339) Prec@1 40.625 (43.018) Prec@5 64.844 (68.167) Epoch: [29][1960/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.6222 (2.6337) Prec@1 36.719 (43.023) Prec@5 67.188 (68.168) Epoch: [29][1970/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.3787 (2.6336) Prec@1 44.531 (43.025) Prec@5 71.875 (68.178) Epoch: [29][1980/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.8199 (2.6338) Prec@1 42.188 (43.024) Prec@5 64.062 (68.171) Epoch: [29][1990/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.6345 (2.6341) Prec@1 43.750 (43.026) Prec@5 69.531 (68.162) Epoch: [29][2000/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.6497 (2.6338) Prec@1 41.406 (43.035) Prec@5 70.312 (68.167) Epoch: [29][2010/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.7287 (2.6340) Prec@1 38.281 (43.034) Prec@5 68.750 (68.173) Epoch: [29][2020/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.6744 (2.6339) Prec@1 40.625 (43.034) Prec@5 63.281 (68.178) Epoch: [29][2030/10010] Time 0.328 (0.332) Data 0.002 (0.002) Loss 2.7636 (2.6334) Prec@1 42.969 (43.043) Prec@5 64.844 (68.190) Epoch: [29][2040/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.7668 (2.6333) Prec@1 38.281 (43.046) Prec@5 60.938 (68.191) Epoch: [29][2050/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.5543 (2.6331) Prec@1 47.656 (43.051) Prec@5 70.312 (68.197) Epoch: [29][2060/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.5603 (2.6330) Prec@1 44.531 (43.058) Prec@5 69.531 (68.208) Epoch: [29][2070/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.6666 (2.6327) Prec@1 46.094 (43.058) Prec@5 67.188 (68.214) Epoch: [29][2080/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6488 (2.6327) Prec@1 44.531 (43.057) Prec@5 70.312 (68.220) Epoch: [29][2090/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.9426 (2.6334) Prec@1 39.062 (43.049) Prec@5 66.406 (68.209) Epoch: [29][2100/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.5073 (2.6330) Prec@1 43.750 (43.051) Prec@5 71.094 (68.217) Epoch: [29][2110/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 3.0533 (2.6336) Prec@1 36.719 (43.048) Prec@5 56.250 (68.209) Epoch: [29][2120/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.8586 (2.6341) Prec@1 46.094 (43.044) Prec@5 66.406 (68.206) Epoch: [29][2130/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.6373 (2.6345) Prec@1 45.312 (43.031) Prec@5 67.188 (68.200) Epoch: [29][2140/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.4128 (2.6347) Prec@1 49.219 (43.035) Prec@5 71.875 (68.190) Epoch: [29][2150/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.5623 (2.6352) Prec@1 39.062 (43.024) Prec@5 66.406 (68.180) Epoch: [29][2160/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.6525 (2.6352) Prec@1 42.188 (43.023) Prec@5 67.969 (68.189) Epoch: [29][2170/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 3.0285 (2.6356) Prec@1 38.281 (43.019) Prec@5 61.719 (68.178) Epoch: [29][2180/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.8203 (2.6358) Prec@1 42.969 (43.015) Prec@5 64.844 (68.169) Epoch: [29][2190/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.6745 (2.6358) Prec@1 43.750 (43.012) Prec@5 68.750 (68.163) Epoch: [29][2200/10010] Time 0.314 (0.332) Data 0.000 (0.002) Loss 2.4119 (2.6357) Prec@1 53.125 (43.009) Prec@5 73.438 (68.165) Epoch: [29][2210/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.8447 (2.6353) Prec@1 35.938 (43.018) Prec@5 63.281 (68.169) Epoch: [29][2220/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.8686 (2.6358) Prec@1 36.719 (43.003) Prec@5 60.938 (68.155) Epoch: [29][2230/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 3.0092 (2.6364) Prec@1 37.500 (42.997) Prec@5 60.938 (68.141) Epoch: [29][2240/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.4621 (2.6367) Prec@1 41.406 (42.991) Prec@5 66.406 (68.136) Epoch: [29][2250/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.4000 (2.6367) Prec@1 48.438 (42.994) Prec@5 67.188 (68.133) Epoch: [29][2260/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.5657 (2.6372) Prec@1 45.312 (42.985) Prec@5 71.094 (68.124) Epoch: [29][2270/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.6323 (2.6371) Prec@1 45.312 (42.992) Prec@5 71.094 (68.123) Epoch: [29][2280/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.6320 (2.6370) Prec@1 43.750 (42.998) Prec@5 64.844 (68.124) Epoch: [29][2290/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.5187 (2.6374) Prec@1 49.219 (42.995) Prec@5 69.531 (68.114) Epoch: [29][2300/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.9853 (2.6376) Prec@1 34.375 (42.988) Prec@5 60.938 (68.112) Epoch: [29][2310/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.9435 (2.6377) Prec@1 35.156 (42.982) Prec@5 64.062 (68.109) Epoch: [29][2320/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.6755 (2.6378) Prec@1 40.625 (42.983) Prec@5 69.531 (68.110) Epoch: [29][2330/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.7366 (2.6374) Prec@1 35.938 (42.986) Prec@5 67.188 (68.114) Epoch: [29][2340/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.6841 (2.6377) Prec@1 42.969 (42.978) Prec@5 66.406 (68.108) Epoch: [29][2350/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.4978 (2.6378) Prec@1 46.094 (42.982) Prec@5 69.531 (68.110) Epoch: [29][2360/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.8970 (2.6379) Prec@1 39.062 (42.977) Prec@5 62.500 (68.111) /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: [29][2370/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.6847 (2.6377) Prec@1 41.406 (42.981) Prec@5 64.062 (68.113) Epoch: [29][2380/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.7024 (2.6385) Prec@1 39.062 (42.966) Prec@5 67.969 (68.098) Epoch: [29][2390/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 3.0872 (2.6388) Prec@1 31.250 (42.970) Prec@5 60.938 (68.090) Epoch: [29][2400/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.3611 (2.6385) Prec@1 47.656 (42.978) Prec@5 71.875 (68.093) Epoch: [29][2410/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.6490 (2.6387) Prec@1 45.312 (42.976) Prec@5 66.406 (68.088) Epoch: [29][2420/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.8519 (2.6390) Prec@1 39.844 (42.968) Prec@5 64.844 (68.090) Epoch: [29][2430/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 3.0160 (2.6393) Prec@1 36.719 (42.969) Prec@5 59.375 (68.079) Epoch: [29][2440/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 3.0385 (2.6395) Prec@1 43.750 (42.966) Prec@5 64.062 (68.078) Epoch: [29][2450/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.8241 (2.6399) Prec@1 38.281 (42.954) Prec@5 65.625 (68.074) Epoch: [29][2460/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8550 (2.6399) Prec@1 42.188 (42.956) Prec@5 64.844 (68.074) Epoch: [29][2470/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.5740 (2.6400) Prec@1 46.094 (42.954) Prec@5 71.875 (68.064) Epoch: [29][2480/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.8096 (2.6402) Prec@1 36.719 (42.948) Prec@5 64.844 (68.058) Epoch: [29][2490/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.9096 (2.6405) Prec@1 41.406 (42.949) Prec@5 66.406 (68.055) Epoch: [29][2500/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.7446 (2.6404) Prec@1 39.062 (42.949) Prec@5 65.625 (68.054) Epoch: [29][2510/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.9506 (2.6406) Prec@1 34.375 (42.945) Prec@5 65.625 (68.053) Epoch: [29][2520/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.3685 (2.6406) Prec@1 50.000 (42.944) Prec@5 75.000 (68.049) Epoch: [29][2530/10010] Time 0.311 (0.332) Data 0.001 (0.002) Loss 2.7139 (2.6405) Prec@1 36.719 (42.946) Prec@5 67.969 (68.051) Epoch: [29][2540/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.5475 (2.6402) Prec@1 41.406 (42.957) Prec@5 73.438 (68.054) Epoch: [29][2550/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.5808 (2.6401) Prec@1 46.875 (42.957) Prec@5 71.875 (68.058) Epoch: [29][2560/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.8257 (2.6402) Prec@1 42.969 (42.958) Prec@5 66.406 (68.058) Epoch: [29][2570/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.3630 (2.6403) Prec@1 41.406 (42.953) Prec@5 71.875 (68.052) Epoch: [29][2580/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.7590 (2.6406) Prec@1 40.625 (42.945) Prec@5 66.406 (68.047) Epoch: [29][2590/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.6074 (2.6408) Prec@1 43.750 (42.942) Prec@5 67.188 (68.046) Epoch: [29][2600/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.7263 (2.6410) Prec@1 42.188 (42.935) Prec@5 66.406 (68.041) Epoch: [29][2610/10010] Time 0.319 (0.332) Data 0.004 (0.002) Loss 2.8538 (2.6413) Prec@1 40.625 (42.929) Prec@5 64.062 (68.032) Epoch: [29][2620/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.5138 (2.6412) Prec@1 47.656 (42.931) Prec@5 71.094 (68.036) Epoch: [29][2630/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.7401 (2.6413) Prec@1 39.844 (42.927) Prec@5 65.625 (68.033) Epoch: [29][2640/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.8656 (2.6418) Prec@1 37.500 (42.918) Prec@5 60.938 (68.029) Epoch: [29][2650/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.3904 (2.6419) Prec@1 52.344 (42.916) Prec@5 73.438 (68.027) Epoch: [29][2660/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.9511 (2.6421) Prec@1 35.938 (42.915) Prec@5 60.938 (68.021) Epoch: [29][2670/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.6779 (2.6421) Prec@1 46.875 (42.917) Prec@5 73.438 (68.025) Epoch: [29][2680/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.5819 (2.6420) Prec@1 41.406 (42.917) Prec@5 71.094 (68.023) Epoch: [29][2690/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.2084 (2.6419) Prec@1 50.781 (42.912) Prec@5 75.781 (68.025) Epoch: [29][2700/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.6713 (2.6416) Prec@1 40.625 (42.919) Prec@5 69.531 (68.034) Epoch: [29][2710/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.5648 (2.6414) Prec@1 43.750 (42.926) Prec@5 68.750 (68.033) Epoch: [29][2720/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.4857 (2.6412) Prec@1 43.750 (42.931) Prec@5 67.188 (68.031) Epoch: [29][2730/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.6832 (2.6414) Prec@1 42.188 (42.929) Prec@5 65.625 (68.025) Epoch: [29][2740/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.4723 (2.6413) Prec@1 47.656 (42.931) Prec@5 69.531 (68.032) Epoch: [29][2750/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.3530 (2.6409) Prec@1 54.688 (42.936) Prec@5 76.562 (68.041) Epoch: [29][2760/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 3.0433 (2.6415) Prec@1 37.500 (42.925) Prec@5 62.500 (68.029) Epoch: [29][2770/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.8106 (2.6415) Prec@1 39.844 (42.921) Prec@5 70.312 (68.030) Epoch: [29][2780/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.5920 (2.6417) Prec@1 46.094 (42.916) Prec@5 66.406 (68.025) Epoch: [29][2790/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4594 (2.6417) Prec@1 46.875 (42.916) Prec@5 70.312 (68.022) Epoch: [29][2800/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.8435 (2.6417) Prec@1 35.156 (42.915) Prec@5 64.844 (68.022) Epoch: [29][2810/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.4525 (2.6414) Prec@1 46.094 (42.919) Prec@5 65.625 (68.023) Epoch: [29][2820/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.4822 (2.6414) Prec@1 44.531 (42.924) Prec@5 72.656 (68.027) Epoch: [29][2830/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 3.0163 (2.6414) Prec@1 34.375 (42.921) Prec@5 58.594 (68.027) Epoch: [29][2840/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.6225 (2.6415) Prec@1 42.188 (42.920) Prec@5 64.844 (68.025) Epoch: [29][2850/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8720 (2.6417) Prec@1 35.938 (42.923) Prec@5 64.844 (68.024) Epoch: [29][2860/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.3331 (2.6413) Prec@1 49.219 (42.927) Prec@5 77.344 (68.035) Epoch: [29][2870/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6282 (2.6411) Prec@1 43.750 (42.932) Prec@5 67.969 (68.043) Epoch: [29][2880/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.2685 (2.6410) Prec@1 50.000 (42.936) Prec@5 75.000 (68.045) Epoch: [29][2890/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5650 (2.6414) Prec@1 45.312 (42.929) Prec@5 70.312 (68.041) Epoch: [29][2900/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.3819 (2.6413) Prec@1 45.312 (42.933) Prec@5 78.125 (68.044) Epoch: [29][2910/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4940 (2.6412) Prec@1 43.750 (42.930) Prec@5 72.656 (68.048) Epoch: [29][2920/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5035 (2.6412) Prec@1 45.312 (42.926) Prec@5 67.188 (68.046) Epoch: [29][2930/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7498 (2.6418) Prec@1 39.844 (42.914) Prec@5 65.625 (68.038) Epoch: [29][2940/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.7444 (2.6417) Prec@1 38.281 (42.916) Prec@5 67.969 (68.043) Epoch: [29][2950/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7383 (2.6418) Prec@1 38.281 (42.917) Prec@5 65.625 (68.041) Epoch: [29][2960/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7582 (2.6418) Prec@1 39.844 (42.915) Prec@5 67.188 (68.037) Epoch: [29][2970/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8923 (2.6423) Prec@1 37.500 (42.906) Prec@5 66.406 (68.031) Epoch: [29][2980/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6850 (2.6424) Prec@1 44.531 (42.904) Prec@5 69.531 (68.035) Epoch: [29][2990/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4175 (2.6426) Prec@1 47.656 (42.900) Prec@5 74.219 (68.035) Epoch: [29][3000/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 3.0521 (2.6425) Prec@1 39.062 (42.902) Prec@5 64.844 (68.034) Epoch: [29][3010/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7713 (2.6426) Prec@1 39.844 (42.909) Prec@5 60.938 (68.030) Epoch: [29][3020/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7079 (2.6427) Prec@1 42.969 (42.908) Prec@5 69.531 (68.030) Epoch: [29][3030/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.9660 (2.6429) Prec@1 41.406 (42.905) Prec@5 65.625 (68.031) Epoch: [29][3040/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0956 (2.6430) Prec@1 35.156 (42.902) Prec@5 60.938 (68.026) Epoch: [29][3050/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.2775 (2.6430) Prec@1 47.656 (42.902) Prec@5 71.094 (68.024) Epoch: [29][3060/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7346 (2.6433) Prec@1 46.875 (42.901) Prec@5 65.625 (68.013) Epoch: [29][3070/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5572 (2.6434) Prec@1 39.844 (42.901) Prec@5 66.406 (68.009) Epoch: [29][3080/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8250 (2.6438) Prec@1 37.500 (42.896) Prec@5 64.062 (68.001) Epoch: [29][3090/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6098 (2.6438) Prec@1 48.438 (42.895) Prec@5 69.531 (67.996) Epoch: [29][3100/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.7352 (2.6437) Prec@1 44.531 (42.897) Prec@5 65.625 (67.996) Epoch: [29][3110/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8714 (2.6437) Prec@1 41.406 (42.900) Prec@5 64.062 (67.997) Epoch: [29][3120/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8165 (2.6438) Prec@1 38.281 (42.899) Prec@5 65.625 (67.997) Epoch: [29][3130/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7113 (2.6439) Prec@1 40.625 (42.900) Prec@5 67.969 (67.996) Epoch: [29][3140/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.1117 (2.6434) Prec@1 52.344 (42.911) Prec@5 78.125 (68.002) Epoch: [29][3150/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.6503 (2.6429) Prec@1 40.625 (42.917) Prec@5 71.094 (68.015) Epoch: [29][3160/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.3551 (2.6430) Prec@1 50.781 (42.915) Prec@5 71.094 (68.016) Epoch: [29][3170/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.4607 (2.6430) Prec@1 50.000 (42.919) Prec@5 73.438 (68.020) Epoch: [29][3180/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5484 (2.6431) Prec@1 42.969 (42.919) Prec@5 71.875 (68.020) Epoch: [29][3190/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4959 (2.6431) Prec@1 46.875 (42.920) Prec@5 71.875 (68.026) Epoch: [29][3200/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 3.0026 (2.6433) Prec@1 35.938 (42.920) Prec@5 60.938 (68.023) Epoch: [29][3210/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.6151 (2.6434) Prec@1 43.750 (42.917) Prec@5 68.750 (68.025) Epoch: [29][3220/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5783 (2.6434) Prec@1 42.188 (42.914) Prec@5 69.531 (68.024) Epoch: [29][3230/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4669 (2.6435) Prec@1 44.531 (42.912) Prec@5 71.875 (68.022) Epoch: [29][3240/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5537 (2.6435) Prec@1 49.219 (42.916) Prec@5 64.062 (68.020) Epoch: [29][3250/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6732 (2.6436) Prec@1 38.281 (42.912) Prec@5 71.875 (68.019) Epoch: [29][3260/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 3.1090 (2.6438) Prec@1 32.812 (42.907) Prec@5 58.594 (68.013) Epoch: [29][3270/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6593 (2.6435) Prec@1 45.312 (42.917) Prec@5 69.531 (68.018) Epoch: [29][3280/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6777 (2.6434) Prec@1 41.406 (42.920) Prec@5 62.500 (68.017) Epoch: [29][3290/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7061 (2.6435) Prec@1 46.094 (42.925) Prec@5 71.875 (68.019) Epoch: [29][3300/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.3130 (2.6435) Prec@1 42.969 (42.920) Prec@5 74.219 (68.020) Epoch: [29][3310/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.7778 (2.6436) Prec@1 36.719 (42.914) Prec@5 65.625 (68.017) Epoch: [29][3320/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8744 (2.6439) Prec@1 42.969 (42.912) Prec@5 62.500 (68.015) Epoch: [29][3330/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.7567 (2.6441) Prec@1 46.094 (42.905) Prec@5 70.312 (68.019) Epoch: [29][3340/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5759 (2.6440) Prec@1 50.000 (42.909) Prec@5 67.969 (68.018) Epoch: [29][3350/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7078 (2.6441) Prec@1 44.531 (42.910) Prec@5 65.625 (68.018) /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: [29][3360/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 3.0301 (2.6441) Prec@1 32.031 (42.910) Prec@5 54.688 (68.016) Epoch: [29][3370/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5074 (2.6440) Prec@1 44.531 (42.911) Prec@5 71.094 (68.018) Epoch: [29][3380/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8207 (2.6437) Prec@1 37.500 (42.917) Prec@5 64.062 (68.025) Epoch: [29][3390/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9733 (2.6438) Prec@1 35.156 (42.912) Prec@5 64.062 (68.022) Epoch: [29][3400/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8728 (2.6436) Prec@1 40.625 (42.914) Prec@5 65.625 (68.022) Epoch: [29][3410/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.8728 (2.6436) Prec@1 39.062 (42.909) Prec@5 67.188 (68.020) Epoch: [29][3420/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6282 (2.6438) Prec@1 42.969 (42.904) Prec@5 67.188 (68.018) Epoch: [29][3430/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0137 (2.6435) Prec@1 38.281 (42.910) Prec@5 60.938 (68.021) Epoch: [29][3440/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6659 (2.6434) Prec@1 42.188 (42.910) Prec@5 64.062 (68.022) Epoch: [29][3450/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 3.0275 (2.6436) Prec@1 35.938 (42.906) Prec@5 60.156 (68.017) Epoch: [29][3460/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7496 (2.6438) Prec@1 45.312 (42.907) Prec@5 65.625 (68.013) Epoch: [29][3470/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6929 (2.6437) Prec@1 37.500 (42.907) Prec@5 64.844 (68.010) Epoch: [29][3480/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4676 (2.6434) Prec@1 46.875 (42.910) Prec@5 71.094 (68.017) Epoch: [29][3490/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6649 (2.6434) Prec@1 40.625 (42.915) Prec@5 69.531 (68.015) Epoch: [29][3500/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7242 (2.6435) Prec@1 41.406 (42.912) Prec@5 66.406 (68.018) Epoch: [29][3510/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9088 (2.6435) Prec@1 36.719 (42.911) Prec@5 62.500 (68.019) Epoch: [29][3520/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8270 (2.6436) Prec@1 45.312 (42.913) Prec@5 59.375 (68.016) Epoch: [29][3530/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0613 (2.6434) Prec@1 53.125 (42.919) Prec@5 79.688 (68.021) Epoch: [29][3540/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8014 (2.6434) Prec@1 39.844 (42.916) Prec@5 64.062 (68.020) Epoch: [29][3550/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7786 (2.6437) Prec@1 39.062 (42.913) Prec@5 69.531 (68.018) Epoch: [29][3560/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5817 (2.6437) Prec@1 46.094 (42.916) Prec@5 64.062 (68.019) Epoch: [29][3570/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7817 (2.6438) Prec@1 36.719 (42.914) Prec@5 63.281 (68.020) Epoch: [29][3580/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7919 (2.6436) Prec@1 41.406 (42.919) Prec@5 65.625 (68.025) Epoch: [29][3590/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.6606 (2.6436) Prec@1 46.094 (42.919) Prec@5 69.531 (68.025) Epoch: [29][3600/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6190 (2.6435) Prec@1 38.281 (42.917) Prec@5 68.750 (68.026) Epoch: [29][3610/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6369 (2.6434) Prec@1 42.188 (42.924) Prec@5 75.000 (68.027) Epoch: [29][3620/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8236 (2.6433) Prec@1 39.844 (42.928) Prec@5 63.281 (68.027) Epoch: [29][3630/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6252 (2.6436) Prec@1 42.188 (42.924) Prec@5 68.750 (68.023) Epoch: [29][3640/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 3.1106 (2.6438) Prec@1 32.812 (42.920) Prec@5 56.250 (68.020) Epoch: [29][3650/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8797 (2.6437) Prec@1 35.938 (42.917) Prec@5 67.188 (68.018) Epoch: [29][3660/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.4620 (2.6438) Prec@1 53.906 (42.920) Prec@5 71.875 (68.016) Epoch: [29][3670/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.9450 (2.6438) Prec@1 39.062 (42.919) Prec@5 65.625 (68.021) Epoch: [29][3680/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5218 (2.6436) Prec@1 50.000 (42.924) Prec@5 75.000 (68.023) Epoch: [29][3690/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4133 (2.6435) Prec@1 50.781 (42.925) Prec@5 69.531 (68.025) Epoch: [29][3700/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6580 (2.6436) Prec@1 42.188 (42.920) Prec@5 63.281 (68.021) Epoch: [29][3710/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7040 (2.6435) Prec@1 44.531 (42.921) Prec@5 70.312 (68.024) Epoch: [29][3720/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3027 (2.6433) Prec@1 46.094 (42.922) Prec@5 73.438 (68.028) Epoch: [29][3730/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.8717 (2.6430) Prec@1 43.750 (42.931) Prec@5 64.062 (68.031) Epoch: [29][3740/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1921 (2.6426) Prec@1 47.656 (42.933) Prec@5 75.781 (68.038) Epoch: [29][3750/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.8010 (2.6425) Prec@1 37.500 (42.935) Prec@5 64.062 (68.041) Epoch: [29][3760/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7796 (2.6428) Prec@1 37.500 (42.928) Prec@5 64.844 (68.035) Epoch: [29][3770/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.1962 (2.6429) Prec@1 53.906 (42.929) Prec@5 73.438 (68.033) Epoch: [29][3780/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5231 (2.6430) Prec@1 44.531 (42.927) Prec@5 68.750 (68.034) Epoch: [29][3790/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5308 (2.6430) Prec@1 40.625 (42.925) Prec@5 71.094 (68.032) Epoch: [29][3800/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.3132 (2.6427) Prec@1 48.438 (42.927) Prec@5 71.094 (68.038) Epoch: [29][3810/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9184 (2.6430) Prec@1 37.500 (42.923) Prec@5 67.969 (68.032) Epoch: [29][3820/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6349 (2.6430) Prec@1 45.312 (42.927) Prec@5 66.406 (68.034) Epoch: [29][3830/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5064 (2.6429) Prec@1 42.969 (42.928) Prec@5 71.875 (68.038) Epoch: [29][3840/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5922 (2.6429) Prec@1 41.406 (42.932) Prec@5 71.094 (68.040) Epoch: [29][3850/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5903 (2.6428) Prec@1 42.188 (42.933) Prec@5 70.312 (68.040) Epoch: [29][3860/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8319 (2.6430) Prec@1 35.156 (42.931) Prec@5 66.406 (68.037) Epoch: [29][3870/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3844 (2.6427) Prec@1 46.094 (42.931) Prec@5 72.656 (68.039) Epoch: [29][3880/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6094 (2.6425) Prec@1 45.312 (42.938) Prec@5 66.406 (68.039) Epoch: [29][3890/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.9300 (2.6426) Prec@1 42.188 (42.940) Prec@5 64.844 (68.034) Epoch: [29][3900/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8956 (2.6427) Prec@1 36.719 (42.938) Prec@5 61.719 (68.030) Epoch: [29][3910/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.9745 (2.6432) Prec@1 39.062 (42.928) Prec@5 64.062 (68.024) Epoch: [29][3920/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.4139 (2.6432) Prec@1 49.219 (42.931) Prec@5 75.781 (68.024) Epoch: [29][3930/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5254 (2.6431) Prec@1 43.750 (42.931) Prec@5 71.875 (68.026) Epoch: [29][3940/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5788 (2.6431) Prec@1 42.188 (42.930) Prec@5 65.625 (68.024) Epoch: [29][3950/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.7326 (2.6433) Prec@1 39.844 (42.926) Prec@5 64.844 (68.019) Epoch: [29][3960/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4743 (2.6433) Prec@1 49.219 (42.928) Prec@5 73.438 (68.020) Epoch: [29][3970/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9416 (2.6434) Prec@1 32.812 (42.925) Prec@5 63.281 (68.017) Epoch: [29][3980/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.5233 (2.6435) Prec@1 36.719 (42.925) Prec@5 63.281 (68.014) Epoch: [29][3990/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.7449 (2.6436) Prec@1 40.625 (42.918) Prec@5 65.625 (68.013) Epoch: [29][4000/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6897 (2.6438) Prec@1 43.750 (42.912) Prec@5 67.188 (68.009) Epoch: [29][4010/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.5950 (2.6436) Prec@1 42.188 (42.912) Prec@5 73.438 (68.012) Epoch: [29][4020/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.7010 (2.6437) Prec@1 39.844 (42.910) Prec@5 67.188 (68.012) Epoch: [29][4030/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6507 (2.6436) Prec@1 41.406 (42.911) Prec@5 67.969 (68.013) Epoch: [29][4040/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6187 (2.6439) Prec@1 45.312 (42.907) Prec@5 66.406 (68.005) Epoch: [29][4050/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.6672 (2.6438) Prec@1 43.750 (42.910) Prec@5 65.625 (68.006) Epoch: [29][4060/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4571 (2.6436) Prec@1 43.750 (42.907) Prec@5 77.344 (68.016) /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: [29][4070/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.9414 (2.6437) Prec@1 39.062 (42.908) Prec@5 62.500 (68.015) Epoch: [29][4080/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.9600 (2.6438) Prec@1 37.500 (42.901) Prec@5 60.938 (68.012) Epoch: [29][4090/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0944 (2.6441) Prec@1 36.719 (42.899) Prec@5 57.812 (68.008) Epoch: [29][4100/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6148 (2.6440) Prec@1 41.406 (42.898) Prec@5 65.625 (68.011) Epoch: [29][4110/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.7598 (2.6441) Prec@1 39.062 (42.892) Prec@5 64.062 (68.011) Epoch: [29][4120/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8631 (2.6441) Prec@1 35.156 (42.893) Prec@5 65.625 (68.011) Epoch: [29][4130/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7617 (2.6444) Prec@1 42.188 (42.884) Prec@5 64.844 (68.008) Epoch: [29][4140/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.7307 (2.6446) Prec@1 52.344 (42.885) Prec@5 70.312 (68.005) Epoch: [29][4150/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.1083 (2.6448) Prec@1 32.031 (42.878) Prec@5 57.031 (67.998) Epoch: [29][4160/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 3.0818 (2.6447) Prec@1 39.844 (42.879) Prec@5 59.375 (67.997) Epoch: [29][4170/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8572 (2.6448) Prec@1 38.281 (42.879) Prec@5 64.844 (68.000) Epoch: [29][4180/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.7904 (2.6449) Prec@1 46.094 (42.877) Prec@5 71.094 (68.000) Epoch: [29][4190/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6296 (2.6450) Prec@1 49.219 (42.879) Prec@5 71.094 (67.997) Epoch: [29][4200/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.7384 (2.6451) Prec@1 39.062 (42.877) Prec@5 69.531 (67.993) Epoch: [29][4210/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.3798 (2.6451) Prec@1 45.312 (42.874) Prec@5 74.219 (67.992) Epoch: [29][4220/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.7312 (2.6452) Prec@1 39.062 (42.875) Prec@5 63.281 (67.989) Epoch: [29][4230/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7503 (2.6453) Prec@1 40.625 (42.874) Prec@5 61.719 (67.988) Epoch: [29][4240/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.9177 (2.6456) Prec@1 38.281 (42.868) Prec@5 62.500 (67.985) Epoch: [29][4250/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3188 (2.6456) Prec@1 46.094 (42.871) Prec@5 72.656 (67.985) Epoch: [29][4260/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7872 (2.6455) Prec@1 39.062 (42.873) Prec@5 66.406 (67.984) Epoch: [29][4270/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.3593 (2.6455) Prec@1 50.000 (42.873) Prec@5 75.000 (67.988) Epoch: [29][4280/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5346 (2.6458) Prec@1 44.531 (42.864) Prec@5 70.312 (67.982) Epoch: [29][4290/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5285 (2.6459) Prec@1 42.969 (42.862) Prec@5 67.969 (67.980) Epoch: [29][4300/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7730 (2.6457) Prec@1 38.281 (42.863) Prec@5 66.406 (67.979) Epoch: [29][4310/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.1570 (2.6457) Prec@1 49.219 (42.863) Prec@5 75.781 (67.975) Epoch: [29][4320/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5995 (2.6458) Prec@1 50.000 (42.862) Prec@5 67.969 (67.976) Epoch: [29][4330/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.8207 (2.6460) Prec@1 41.406 (42.856) Prec@5 65.625 (67.975) Epoch: [29][4340/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6282 (2.6460) Prec@1 43.750 (42.857) Prec@5 65.625 (67.976) Epoch: [29][4350/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7419 (2.6462) Prec@1 44.531 (42.857) Prec@5 66.406 (67.971) Epoch: [29][4360/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5466 (2.6461) Prec@1 45.312 (42.858) Prec@5 69.531 (67.974) Epoch: [29][4370/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8035 (2.6463) Prec@1 39.062 (42.854) Prec@5 65.625 (67.969) Epoch: [29][4380/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4471 (2.6465) Prec@1 48.438 (42.852) Prec@5 68.750 (67.967) Epoch: [29][4390/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5475 (2.6464) Prec@1 46.875 (42.852) Prec@5 67.188 (67.968) Epoch: [29][4400/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8696 (2.6466) Prec@1 35.938 (42.846) Prec@5 60.938 (67.961) Epoch: [29][4410/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4075 (2.6465) Prec@1 49.219 (42.850) Prec@5 74.219 (67.961) Epoch: [29][4420/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8943 (2.6464) Prec@1 40.625 (42.852) Prec@5 63.281 (67.964) Epoch: [29][4430/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6891 (2.6464) Prec@1 37.500 (42.846) Prec@5 67.969 (67.963) Epoch: [29][4440/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4335 (2.6464) Prec@1 43.750 (42.846) Prec@5 74.219 (67.963) Epoch: [29][4450/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.3654 (2.6464) Prec@1 49.219 (42.847) Prec@5 75.781 (67.964) Epoch: [29][4460/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7326 (2.6464) Prec@1 43.750 (42.851) Prec@5 68.750 (67.967) Epoch: [29][4470/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6318 (2.6467) Prec@1 42.969 (42.846) Prec@5 67.188 (67.960) Epoch: [29][4480/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6265 (2.6466) Prec@1 40.625 (42.847) Prec@5 67.969 (67.960) Epoch: [29][4490/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6995 (2.6470) Prec@1 40.625 (42.839) Prec@5 67.969 (67.952) Epoch: [29][4500/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.7710 (2.6471) Prec@1 43.750 (42.835) Prec@5 64.844 (67.951) Epoch: [29][4510/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6697 (2.6472) Prec@1 41.406 (42.834) Prec@5 68.750 (67.947) Epoch: [29][4520/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8437 (2.6475) Prec@1 38.281 (42.828) Prec@5 64.844 (67.941) Epoch: [29][4530/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4311 (2.6475) Prec@1 47.656 (42.832) Prec@5 72.656 (67.943) Epoch: [29][4540/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4678 (2.6474) Prec@1 46.875 (42.834) Prec@5 70.312 (67.944) Epoch: [29][4550/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8889 (2.6475) Prec@1 41.406 (42.832) Prec@5 67.188 (67.946) Epoch: [29][4560/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5791 (2.6474) Prec@1 43.750 (42.830) Prec@5 68.750 (67.948) Epoch: [29][4570/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.8284 (2.6475) Prec@1 42.188 (42.829) Prec@5 65.625 (67.946) Epoch: [29][4580/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6995 (2.6476) Prec@1 42.188 (42.828) Prec@5 70.312 (67.947) Epoch: [29][4590/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.6285 (2.6476) Prec@1 44.531 (42.829) Prec@5 67.188 (67.946) Epoch: [29][4600/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7445 (2.6479) Prec@1 39.062 (42.824) Prec@5 67.969 (67.941) Epoch: [29][4610/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4426 (2.6481) Prec@1 50.781 (42.822) Prec@5 70.312 (67.933) Epoch: [29][4620/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6655 (2.6479) Prec@1 38.281 (42.825) Prec@5 73.438 (67.940) Epoch: [29][4630/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5933 (2.6480) Prec@1 42.969 (42.819) Prec@5 67.188 (67.936) Epoch: [29][4640/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7591 (2.6479) Prec@1 35.938 (42.819) Prec@5 65.625 (67.939) Epoch: [29][4650/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 3.1064 (2.6477) Prec@1 41.406 (42.823) Prec@5 61.719 (67.940) Epoch: [29][4660/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.5380 (2.6481) Prec@1 42.969 (42.819) Prec@5 71.875 (67.932) Epoch: [29][4670/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9446 (2.6483) Prec@1 37.500 (42.814) Prec@5 60.938 (67.929) Epoch: [29][4680/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.3521 (2.6484) Prec@1 48.438 (42.817) Prec@5 71.875 (67.927) Epoch: [29][4690/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 3.0645 (2.6486) Prec@1 35.938 (42.812) Prec@5 61.719 (67.925) Epoch: [29][4700/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9183 (2.6486) Prec@1 32.031 (42.812) Prec@5 65.625 (67.926) Epoch: [29][4710/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5889 (2.6485) Prec@1 42.188 (42.809) Prec@5 68.750 (67.923) Epoch: [29][4720/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.7787 (2.6487) Prec@1 39.844 (42.811) Prec@5 67.188 (67.920) Epoch: [29][4730/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6069 (2.6488) Prec@1 49.219 (42.808) Prec@5 64.844 (67.917) Epoch: [29][4740/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4624 (2.6486) Prec@1 44.531 (42.815) Prec@5 69.531 (67.921) Epoch: [29][4750/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7245 (2.6486) Prec@1 42.188 (42.815) Prec@5 67.188 (67.920) Epoch: [29][4760/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5428 (2.6485) Prec@1 42.188 (42.814) Prec@5 69.531 (67.922) Epoch: [29][4770/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8972 (2.6489) Prec@1 38.281 (42.810) Prec@5 65.625 (67.916) Epoch: [29][4780/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5291 (2.6489) Prec@1 43.750 (42.811) Prec@5 68.750 (67.917) Epoch: [29][4790/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5973 (2.6488) Prec@1 42.969 (42.811) Prec@5 61.719 (67.915) Epoch: [29][4800/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.9043 (2.6488) Prec@1 37.500 (42.813) Prec@5 67.188 (67.918) Epoch: [29][4810/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.6327 (2.6488) Prec@1 43.750 (42.813) Prec@5 65.625 (67.919) Epoch: [29][4820/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.9856 (2.6489) Prec@1 33.594 (42.810) Prec@5 62.500 (67.915) Epoch: [29][4830/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6229 (2.6488) Prec@1 46.875 (42.810) Prec@5 68.750 (67.920) Epoch: [29][4840/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.7423 (2.6487) Prec@1 44.531 (42.811) Prec@5 68.750 (67.921) Epoch: [29][4850/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5312 (2.6487) Prec@1 46.094 (42.809) Prec@5 67.969 (67.918) Epoch: [29][4860/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.3689 (2.6485) Prec@1 42.188 (42.810) Prec@5 75.000 (67.923) Epoch: [29][4870/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8446 (2.6485) Prec@1 36.719 (42.810) Prec@5 66.406 (67.924) Epoch: [29][4880/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5784 (2.6484) Prec@1 45.312 (42.811) Prec@5 73.438 (67.925) Epoch: [29][4890/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4403 (2.6484) Prec@1 50.781 (42.815) Prec@5 71.094 (67.929) Epoch: [29][4900/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9927 (2.6485) Prec@1 37.500 (42.815) Prec@5 64.844 (67.928) Epoch: [29][4910/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.6511 (2.6484) Prec@1 42.188 (42.817) Prec@5 66.406 (67.930) Epoch: [29][4920/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5578 (2.6485) Prec@1 44.531 (42.813) Prec@5 66.406 (67.927) Epoch: [29][4930/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6454 (2.6486) Prec@1 46.094 (42.813) Prec@5 68.750 (67.927) Epoch: [29][4940/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8163 (2.6486) Prec@1 36.719 (42.813) Prec@5 61.719 (67.926) Epoch: [29][4950/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7958 (2.6487) Prec@1 40.625 (42.811) Prec@5 67.969 (67.923) Epoch: [29][4960/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.4968 (2.6487) Prec@1 43.750 (42.812) Prec@5 68.750 (67.924) Epoch: [29][4970/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4465 (2.6486) Prec@1 41.406 (42.813) Prec@5 72.656 (67.923) Epoch: [29][4980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5403 (2.6486) Prec@1 45.312 (42.813) Prec@5 67.969 (67.922) Epoch: [29][4990/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.7637 (2.6486) Prec@1 39.844 (42.811) Prec@5 64.844 (67.923) Epoch: [29][5000/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6981 (2.6487) Prec@1 44.531 (42.807) Prec@5 64.844 (67.922) Epoch: [29][5010/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5603 (2.6487) Prec@1 46.094 (42.808) Prec@5 71.094 (67.920) Epoch: [29][5020/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6082 (2.6487) Prec@1 47.656 (42.810) Prec@5 64.062 (67.916) Epoch: [29][5030/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5009 (2.6486) Prec@1 42.188 (42.812) Prec@5 71.875 (67.917) Epoch: [29][5040/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5244 (2.6484) Prec@1 48.438 (42.817) Prec@5 74.219 (67.924) Epoch: [29][5050/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3586 (2.6484) Prec@1 49.219 (42.812) Prec@5 71.094 (67.925) Epoch: [29][5060/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6452 (2.6485) Prec@1 42.188 (42.810) Prec@5 64.844 (67.926) Epoch: [29][5070/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.2869 (2.6483) Prec@1 51.562 (42.813) Prec@5 75.000 (67.929) Epoch: [29][5080/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7382 (2.6485) Prec@1 42.188 (42.809) Prec@5 67.969 (67.927) Epoch: [29][5090/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5454 (2.6485) Prec@1 46.094 (42.811) Prec@5 72.656 (67.927) Epoch: [29][5100/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8348 (2.6489) Prec@1 45.312 (42.811) Prec@5 67.969 (67.919) Epoch: [29][5110/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.3793 (2.6489) Prec@1 50.000 (42.811) Prec@5 71.875 (67.917) Epoch: [29][5120/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.8869 (2.6493) Prec@1 35.938 (42.803) Prec@5 60.938 (67.912) Epoch: [29][5130/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5009 (2.6493) Prec@1 42.188 (42.803) Prec@5 68.750 (67.909) Epoch: [29][5140/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7226 (2.6492) Prec@1 45.312 (42.804) Prec@5 67.969 (67.910) /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: [29][5150/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6293 (2.6493) Prec@1 42.969 (42.805) Prec@5 70.312 (67.909) Epoch: [29][5160/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.5035 (2.6493) Prec@1 45.312 (42.807) Prec@5 70.312 (67.908) Epoch: [29][5170/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.5087 (2.6492) Prec@1 42.188 (42.808) Prec@5 70.312 (67.908) Epoch: [29][5180/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4322 (2.6493) Prec@1 46.875 (42.806) Prec@5 70.312 (67.906) Epoch: [29][5190/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9128 (2.6494) Prec@1 37.500 (42.806) Prec@5 62.500 (67.906) Epoch: [29][5200/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5145 (2.6494) Prec@1 41.406 (42.807) Prec@5 69.531 (67.904) Epoch: [29][5210/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 3.0633 (2.6493) Prec@1 35.156 (42.808) Prec@5 60.938 (67.907) Epoch: [29][5220/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9124 (2.6494) Prec@1 38.281 (42.808) Prec@5 56.250 (67.906) Epoch: [29][5230/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5239 (2.6493) Prec@1 48.438 (42.809) Prec@5 66.406 (67.907) Epoch: [29][5240/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.3257 (2.6491) Prec@1 45.312 (42.814) Prec@5 72.656 (67.912) Epoch: [29][5250/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4048 (2.6490) Prec@1 42.188 (42.814) Prec@5 72.656 (67.912) Epoch: [29][5260/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5303 (2.6490) Prec@1 50.000 (42.812) Prec@5 68.750 (67.911) Epoch: [29][5270/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.4915 (2.6490) Prec@1 39.062 (42.813) Prec@5 67.188 (67.912) Epoch: [29][5280/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.9732 (2.6489) Prec@1 37.500 (42.815) Prec@5 64.844 (67.914) Epoch: [29][5290/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6809 (2.6489) Prec@1 38.281 (42.815) Prec@5 67.969 (67.915) Epoch: [29][5300/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.6133 (2.6488) Prec@1 42.188 (42.818) Prec@5 64.844 (67.916) Epoch: [29][5310/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7149 (2.6487) Prec@1 40.625 (42.822) Prec@5 65.625 (67.918) Epoch: [29][5320/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8416 (2.6488) Prec@1 37.500 (42.818) Prec@5 63.281 (67.916) Epoch: [29][5330/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.8367 (2.6488) Prec@1 39.062 (42.819) Prec@5 59.375 (67.915) Epoch: [29][5340/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6621 (2.6485) Prec@1 39.844 (42.826) Prec@5 69.531 (67.919) Epoch: [29][5350/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8662 (2.6486) Prec@1 39.844 (42.825) Prec@5 62.500 (67.917) Epoch: [29][5360/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7182 (2.6487) Prec@1 39.844 (42.823) Prec@5 67.969 (67.918) Epoch: [29][5370/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5856 (2.6485) Prec@1 46.875 (42.827) Prec@5 68.750 (67.921) Epoch: [29][5380/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.7476 (2.6484) Prec@1 42.188 (42.833) Prec@5 71.094 (67.925) Epoch: [29][5390/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7893 (2.6484) Prec@1 39.062 (42.831) Prec@5 66.406 (67.924) Epoch: [29][5400/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.6002 (2.6485) Prec@1 45.312 (42.831) Prec@5 68.750 (67.923) Epoch: [29][5410/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4866 (2.6484) Prec@1 45.312 (42.834) Prec@5 64.844 (67.924) Epoch: [29][5420/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.4969 (2.6485) Prec@1 39.844 (42.833) Prec@5 74.219 (67.925) Epoch: [29][5430/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0229 (2.6486) Prec@1 35.938 (42.833) Prec@5 63.281 (67.926) Epoch: [29][5440/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6533 (2.6486) Prec@1 47.656 (42.833) Prec@5 67.969 (67.926) Epoch: [29][5450/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.6733 (2.6486) Prec@1 41.406 (42.832) Prec@5 70.312 (67.926) Epoch: [29][5460/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3450 (2.6486) Prec@1 47.656 (42.828) Prec@5 75.781 (67.927) Epoch: [29][5470/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6180 (2.6486) Prec@1 39.844 (42.827) Prec@5 70.312 (67.925) Epoch: [29][5480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.2009 (2.6486) Prec@1 52.344 (42.828) Prec@5 75.000 (67.927) Epoch: [29][5490/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5375 (2.6485) Prec@1 47.656 (42.828) Prec@5 69.531 (67.928) Epoch: [29][5500/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 2.5408 (2.6486) Prec@1 41.406 (42.828) Prec@5 72.656 (67.927) Epoch: [29][5510/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6642 (2.6486) Prec@1 39.062 (42.827) Prec@5 65.625 (67.927) Epoch: [29][5520/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.4667 (2.6486) Prec@1 41.406 (42.827) Prec@5 73.438 (67.926) Epoch: [29][5530/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0143 (2.6486) Prec@1 29.688 (42.826) Prec@5 62.500 (67.927) Epoch: [29][5540/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.6788 (2.6488) Prec@1 39.062 (42.824) Prec@5 66.406 (67.925) Epoch: [29][5550/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5928 (2.6485) Prec@1 44.531 (42.831) Prec@5 67.188 (67.932) Epoch: [29][5560/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.6511 (2.6485) Prec@1 46.094 (42.830) Prec@5 67.969 (67.931) Epoch: [29][5570/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5963 (2.6484) Prec@1 42.188 (42.834) Prec@5 68.750 (67.934) Epoch: [29][5580/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.9400 (2.6484) Prec@1 38.281 (42.831) Prec@5 67.188 (67.935) Epoch: [29][5590/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.5202 (2.6485) Prec@1 46.875 (42.830) Prec@5 70.312 (67.935) Epoch: [29][5600/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.7506 (2.6483) Prec@1 39.062 (42.833) Prec@5 65.625 (67.938) Epoch: [29][5610/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4533 (2.6483) Prec@1 46.094 (42.832) Prec@5 68.750 (67.940) Epoch: [29][5620/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.7597 (2.6483) Prec@1 40.625 (42.831) Prec@5 65.625 (67.939) Epoch: [29][5630/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.5744 (2.6482) Prec@1 46.875 (42.834) Prec@5 64.062 (67.938) Epoch: [29][5640/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.4584 (2.6481) Prec@1 47.656 (42.835) Prec@5 71.094 (67.941) Epoch: [29][5650/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0177 (2.6480) Prec@1 29.688 (42.834) Prec@5 64.844 (67.941) Epoch: [29][5660/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5112 (2.6480) Prec@1 42.188 (42.835) Prec@5 73.438 (67.940) Epoch: [29][5670/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.7913 (2.6480) Prec@1 35.938 (42.836) Prec@5 64.062 (67.943) Epoch: [29][5680/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4181 (2.6480) Prec@1 46.875 (42.838) Prec@5 75.781 (67.942) Epoch: [29][5690/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6378 (2.6479) Prec@1 45.312 (42.841) Prec@5 67.188 (67.942) Epoch: [29][5700/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5357 (2.6477) Prec@1 43.750 (42.842) Prec@5 67.969 (67.945) Epoch: [29][5710/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.9488 (2.6478) Prec@1 35.156 (42.840) Prec@5 62.500 (67.944) Epoch: [29][5720/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9802 (2.6479) Prec@1 37.500 (42.833) Prec@5 65.625 (67.942) Epoch: [29][5730/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 3.2584 (2.6480) Prec@1 36.719 (42.833) Prec@5 57.031 (67.940) Epoch: [29][5740/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.4781 (2.6480) Prec@1 47.656 (42.833) Prec@5 71.875 (67.940) Epoch: [29][5750/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7750 (2.6481) Prec@1 42.969 (42.831) Prec@5 64.844 (67.939) Epoch: [29][5760/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3891 (2.6480) Prec@1 48.438 (42.831) Prec@5 71.094 (67.939) Epoch: [29][5770/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.6353 (2.6481) Prec@1 42.188 (42.830) Prec@5 62.500 (67.935) Epoch: [29][5780/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5147 (2.6481) Prec@1 45.312 (42.830) Prec@5 71.094 (67.935) Epoch: [29][5790/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3620 (2.6482) Prec@1 48.438 (42.827) Prec@5 73.438 (67.933) Epoch: [29][5800/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6129 (2.6480) Prec@1 49.219 (42.833) Prec@5 68.750 (67.937) Epoch: [29][5810/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5163 (2.6481) Prec@1 40.625 (42.832) Prec@5 69.531 (67.935) Epoch: [29][5820/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.7635 (2.6482) Prec@1 42.969 (42.831) Prec@5 64.844 (67.935) Epoch: [29][5830/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6507 (2.6483) Prec@1 41.406 (42.830) Prec@5 71.094 (67.933) Epoch: [29][5840/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6632 (2.6484) Prec@1 44.531 (42.827) Prec@5 68.750 (67.931) Epoch: [29][5850/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8873 (2.6485) Prec@1 35.938 (42.823) Prec@5 60.938 (67.930) Epoch: [29][5860/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.6185 (2.6485) Prec@1 42.188 (42.821) Prec@5 66.406 (67.926) Epoch: [29][5870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6893 (2.6484) Prec@1 41.406 (42.823) Prec@5 67.969 (67.926) Epoch: [29][5880/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6085 (2.6483) Prec@1 45.312 (42.825) Prec@5 71.094 (67.930) Epoch: [29][5890/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6492 (2.6482) Prec@1 40.625 (42.822) Prec@5 69.531 (67.931) Epoch: [29][5900/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4428 (2.6482) Prec@1 45.312 (42.822) Prec@5 71.094 (67.933) Epoch: [29][5910/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.2751 (2.6483) Prec@1 49.219 (42.818) Prec@5 75.781 (67.932) Epoch: [29][5920/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5968 (2.6483) Prec@1 45.312 (42.818) Prec@5 66.406 (67.934) Epoch: [29][5930/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6066 (2.6482) Prec@1 41.406 (42.817) Prec@5 68.750 (67.936) Epoch: [29][5940/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8824 (2.6483) Prec@1 42.969 (42.816) Prec@5 65.625 (67.935) Epoch: [29][5950/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0878 (2.6482) Prec@1 54.688 (42.821) Prec@5 78.906 (67.937) Epoch: [29][5960/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.4913 (2.6484) Prec@1 43.750 (42.817) Prec@5 68.750 (67.935) Epoch: [29][5970/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3661 (2.6484) Prec@1 53.125 (42.819) Prec@5 72.656 (67.935) Epoch: [29][5980/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.9600 (2.6487) Prec@1 36.719 (42.815) Prec@5 57.812 (67.928) Epoch: [29][5990/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6509 (2.6488) Prec@1 43.750 (42.814) Prec@5 67.188 (67.925) Epoch: [29][6000/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6973 (2.6487) Prec@1 39.844 (42.815) Prec@5 68.750 (67.926) Epoch: [29][6010/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.4253 (2.6486) Prec@1 46.094 (42.816) Prec@5 73.438 (67.926) Epoch: [29][6020/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.4344 (2.6486) Prec@1 44.531 (42.816) Prec@5 67.188 (67.929) Epoch: [29][6030/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5218 (2.6485) Prec@1 42.188 (42.816) Prec@5 68.750 (67.928) Epoch: [29][6040/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.4839 (2.6485) Prec@1 42.188 (42.816) Prec@5 73.438 (67.928) Epoch: [29][6050/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5715 (2.6484) Prec@1 44.531 (42.818) Prec@5 65.625 (67.929) Epoch: [29][6060/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0771 (2.6484) Prec@1 36.719 (42.818) Prec@5 57.812 (67.929) Epoch: [29][6070/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 3.0142 (2.6485) Prec@1 35.156 (42.815) Prec@5 60.156 (67.928) Epoch: [29][6080/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.4858 (2.6485) Prec@1 46.875 (42.816) Prec@5 72.656 (67.927) Epoch: [29][6090/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.4821 (2.6484) Prec@1 46.094 (42.818) Prec@5 72.656 (67.932) Epoch: [29][6100/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 3.0002 (2.6484) Prec@1 42.188 (42.818) Prec@5 63.281 (67.932) Epoch: [29][6110/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.5718 (2.6485) Prec@1 42.969 (42.816) Prec@5 69.531 (67.930) Epoch: [29][6120/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.6292 (2.6487) Prec@1 42.188 (42.814) Prec@5 67.188 (67.927) Epoch: [29][6130/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.8453 (2.6487) Prec@1 39.062 (42.813) Prec@5 67.188 (67.928) Epoch: [29][6140/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7634 (2.6487) Prec@1 46.875 (42.815) Prec@5 66.406 (67.930) Epoch: [29][6150/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.8663 (2.6487) Prec@1 39.844 (42.812) Prec@5 67.188 (67.930) Epoch: [29][6160/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7847 (2.6487) Prec@1 44.531 (42.815) Prec@5 64.062 (67.929) Epoch: [29][6170/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5843 (2.6487) Prec@1 45.312 (42.813) Prec@5 69.531 (67.930) Epoch: [29][6180/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.3047 (2.6487) Prec@1 50.781 (42.817) Prec@5 71.094 (67.929) Epoch: [29][6190/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4006 (2.6487) Prec@1 49.219 (42.815) Prec@5 70.312 (67.927) Epoch: [29][6200/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4635 (2.6488) Prec@1 45.312 (42.812) Prec@5 70.312 (67.927) Epoch: [29][6210/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5381 (2.6488) Prec@1 44.531 (42.811) Prec@5 71.094 (67.925) Epoch: [29][6220/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4736 (2.6487) Prec@1 47.656 (42.815) Prec@5 71.875 (67.928) Epoch: [29][6230/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7742 (2.6489) Prec@1 42.188 (42.813) Prec@5 67.188 (67.926) Epoch: [29][6240/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.4959 (2.6489) Prec@1 46.094 (42.812) Prec@5 72.656 (67.925) Epoch: [29][6250/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.5919 (2.6490) Prec@1 46.094 (42.810) Prec@5 73.438 (67.923) Epoch: [29][6260/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.8481 (2.6489) Prec@1 32.812 (42.811) Prec@5 64.844 (67.926) Epoch: [29][6270/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.2245 (2.6489) Prec@1 46.094 (42.812) Prec@5 76.562 (67.926) Epoch: [29][6280/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8269 (2.6487) Prec@1 39.844 (42.813) Prec@5 65.625 (67.928) Epoch: [29][6290/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.6839 (2.6486) Prec@1 42.188 (42.813) Prec@5 65.625 (67.927) Epoch: [29][6300/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.5076 (2.6488) Prec@1 42.969 (42.810) Prec@5 68.750 (67.926) Epoch: [29][6310/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.5859 (2.6488) Prec@1 42.969 (42.809) Prec@5 69.531 (67.926) Epoch: [29][6320/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7746 (2.6490) Prec@1 37.500 (42.807) Prec@5 64.844 (67.924) Epoch: [29][6330/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6913 (2.6489) Prec@1 40.625 (42.805) Prec@5 67.188 (67.924) Epoch: [29][6340/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5586 (2.6490) Prec@1 45.312 (42.804) Prec@5 67.188 (67.923) Epoch: [29][6350/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5929 (2.6490) Prec@1 46.875 (42.803) Prec@5 70.312 (67.923) Epoch: [29][6360/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.7028 (2.6489) Prec@1 40.625 (42.804) Prec@5 67.188 (67.925) Epoch: [29][6370/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.8366 (2.6489) Prec@1 39.844 (42.804) Prec@5 66.406 (67.927) Epoch: [29][6380/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.7277 (2.6491) Prec@1 37.500 (42.800) Prec@5 65.625 (67.925) Epoch: [29][6390/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7919 (2.6490) Prec@1 42.969 (42.801) Prec@5 66.406 (67.928) Epoch: [29][6400/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4310 (2.6491) Prec@1 46.875 (42.800) Prec@5 68.750 (67.926) Epoch: [29][6410/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6445 (2.6491) Prec@1 47.656 (42.803) Prec@5 68.750 (67.927) Epoch: [29][6420/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.5914 (2.6491) Prec@1 46.875 (42.803) Prec@5 66.406 (67.926) Epoch: [29][6430/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.3975 (2.6490) Prec@1 45.312 (42.805) Prec@5 71.875 (67.930) Epoch: [29][6440/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4598 (2.6490) Prec@1 45.312 (42.806) Prec@5 68.750 (67.930) Epoch: [29][6450/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6906 (2.6490) Prec@1 43.750 (42.805) Prec@5 67.969 (67.928) Epoch: [29][6460/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3236 (2.6490) Prec@1 52.344 (42.806) Prec@5 69.531 (67.929) Epoch: [29][6470/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.9829 (2.6491) Prec@1 38.281 (42.805) Prec@5 60.156 (67.928) Epoch: [29][6480/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5916 (2.6492) Prec@1 45.312 (42.805) Prec@5 68.750 (67.925) Epoch: [29][6490/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.7371 (2.6491) Prec@1 46.875 (42.806) Prec@5 64.062 (67.925) Epoch: [29][6500/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.3707 (2.6490) Prec@1 46.875 (42.810) Prec@5 71.094 (67.928) Epoch: [29][6510/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.5889 (2.6487) Prec@1 47.656 (42.815) Prec@5 68.750 (67.930) Epoch: [29][6520/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.9842 (2.6486) Prec@1 35.156 (42.815) Prec@5 60.938 (67.930) Epoch: [29][6530/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.6580 (2.6487) Prec@1 42.969 (42.814) Prec@5 70.312 (67.933) Epoch: [29][6540/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5375 (2.6486) Prec@1 40.625 (42.813) Prec@5 72.656 (67.935) Epoch: [29][6550/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6618 (2.6486) Prec@1 39.844 (42.813) Prec@5 64.062 (67.935) Epoch: [29][6560/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.8236 (2.6485) Prec@1 39.062 (42.813) Prec@5 64.062 (67.936) Epoch: [29][6570/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 3.0260 (2.6485) Prec@1 35.938 (42.812) Prec@5 63.281 (67.935) Epoch: [29][6580/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.5822 (2.6486) Prec@1 46.875 (42.812) Prec@5 68.750 (67.935) Epoch: [29][6590/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7572 (2.6485) Prec@1 38.281 (42.810) Prec@5 67.188 (67.935) Epoch: [29][6600/10010] Time 0.310 (0.331) Data 0.001 (0.001) Loss 2.7633 (2.6484) Prec@1 36.719 (42.808) Prec@5 64.062 (67.935) Epoch: [29][6610/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.8870 (2.6483) Prec@1 39.844 (42.812) Prec@5 63.281 (67.938) Epoch: [29][6620/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6008 (2.6482) Prec@1 51.562 (42.817) Prec@5 69.531 (67.943) Epoch: [29][6630/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4805 (2.6481) Prec@1 43.750 (42.819) Prec@5 71.094 (67.944) Epoch: [29][6640/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 3.0358 (2.6482) Prec@1 36.719 (42.815) Prec@5 62.500 (67.944) Epoch: [29][6650/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6490 (2.6484) Prec@1 44.531 (42.812) Prec@5 67.969 (67.940) Epoch: [29][6660/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.8042 (2.6485) Prec@1 41.406 (42.809) Prec@5 64.062 (67.938) Epoch: [29][6670/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.3099 (2.6485) Prec@1 45.312 (42.808) Prec@5 71.875 (67.936) Epoch: [29][6680/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5789 (2.6485) Prec@1 43.750 (42.807) Prec@5 71.094 (67.937) Epoch: [29][6690/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 3.0353 (2.6486) Prec@1 38.281 (42.807) Prec@5 64.062 (67.938) Epoch: [29][6700/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.6402 (2.6485) Prec@1 42.969 (42.806) Prec@5 71.094 (67.941) Epoch: [29][6710/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6512 (2.6486) Prec@1 41.406 (42.806) Prec@5 66.406 (67.939) Epoch: [29][6720/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.3381 (2.6485) Prec@1 49.219 (42.806) Prec@5 73.438 (67.940) Epoch: [29][6730/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8335 (2.6487) Prec@1 35.938 (42.802) Prec@5 64.844 (67.938) Epoch: [29][6740/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5592 (2.6488) Prec@1 50.781 (42.803) Prec@5 71.875 (67.936) Epoch: [29][6750/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7366 (2.6487) Prec@1 41.406 (42.803) Prec@5 69.531 (67.935) Epoch: [29][6760/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.8051 (2.6488) Prec@1 35.938 (42.801) Prec@5 67.969 (67.936) Epoch: [29][6770/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.7970 (2.6488) Prec@1 39.062 (42.802) Prec@5 61.719 (67.936) Epoch: [29][6780/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7478 (2.6488) Prec@1 43.750 (42.805) Prec@5 60.156 (67.934) Epoch: [29][6790/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5487 (2.6487) Prec@1 46.875 (42.806) Prec@5 70.312 (67.935) Epoch: [29][6800/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6652 (2.6487) Prec@1 46.094 (42.808) Prec@5 70.312 (67.936) Epoch: [29][6810/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.9327 (2.6488) Prec@1 34.375 (42.805) Prec@5 63.281 (67.932) Epoch: [29][6820/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.6444 (2.6490) Prec@1 46.094 (42.801) Prec@5 69.531 (67.930) Epoch: [29][6830/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.7250 (2.6488) Prec@1 42.188 (42.803) Prec@5 66.406 (67.931) Epoch: [29][6840/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4730 (2.6487) Prec@1 46.875 (42.804) Prec@5 75.000 (67.932) Epoch: [29][6850/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4657 (2.6487) Prec@1 41.406 (42.805) Prec@5 70.312 (67.933) Epoch: [29][6860/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5864 (2.6486) Prec@1 39.844 (42.807) Prec@5 70.312 (67.934) Epoch: [29][6870/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7006 (2.6485) Prec@1 42.969 (42.806) Prec@5 64.062 (67.936) Epoch: [29][6880/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5195 (2.6485) Prec@1 46.094 (42.808) Prec@5 74.219 (67.940) Epoch: [29][6890/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4536 (2.6485) Prec@1 41.406 (42.808) Prec@5 74.219 (67.940) Epoch: [29][6900/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9596 (2.6485) Prec@1 37.500 (42.808) Prec@5 63.281 (67.941) Epoch: [29][6910/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 3.0190 (2.6486) Prec@1 40.625 (42.806) Prec@5 62.500 (67.937) Epoch: [29][6920/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5621 (2.6486) Prec@1 46.875 (42.808) Prec@5 68.750 (67.937) Epoch: [29][6930/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0649 (2.6486) Prec@1 34.375 (42.808) Prec@5 60.938 (67.937) Epoch: [29][6940/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7043 (2.6487) Prec@1 42.969 (42.809) Prec@5 66.406 (67.935) Epoch: [29][6950/10010] Time 0.310 (0.331) Data 0.001 (0.001) Loss 2.7295 (2.6486) Prec@1 45.312 (42.814) Prec@5 65.625 (67.938) Epoch: [29][6960/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6130 (2.6487) Prec@1 46.875 (42.814) Prec@5 67.969 (67.936) Epoch: [29][6970/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.7538 (2.6487) Prec@1 39.844 (42.814) Prec@5 65.625 (67.933) Epoch: [29][6980/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.8642 (2.6488) Prec@1 45.312 (42.811) Prec@5 65.625 (67.933) Epoch: [29][6990/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4872 (2.6488) Prec@1 45.312 (42.813) Prec@5 71.875 (67.935) Epoch: [29][7000/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6329 (2.6487) Prec@1 43.750 (42.814) Prec@5 67.969 (67.937) Epoch: [29][7010/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.4442 (2.6487) Prec@1 46.094 (42.813) Prec@5 73.438 (67.937) Epoch: [29][7020/10010] Time 0.330 (0.331) Data 0.005 (0.001) Loss 2.4657 (2.6487) Prec@1 46.094 (42.812) Prec@5 71.875 (67.937) Epoch: [29][7030/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1905 (2.6488) Prec@1 56.250 (42.811) Prec@5 71.875 (67.937) Epoch: [29][7040/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5271 (2.6487) Prec@1 46.875 (42.812) Prec@5 67.969 (67.937) Epoch: [29][7050/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.7371 (2.6488) Prec@1 40.625 (42.812) Prec@5 71.094 (67.937) Epoch: [29][7060/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 2.3502 (2.6489) Prec@1 46.875 (42.812) Prec@5 76.562 (67.936) Epoch: [29][7070/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7471 (2.6489) Prec@1 39.062 (42.811) Prec@5 71.875 (67.936) Epoch: [29][7080/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.3197 (2.6490) Prec@1 46.094 (42.810) Prec@5 75.781 (67.934) Epoch: [29][7090/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.7195 (2.6492) Prec@1 39.844 (42.807) Prec@5 66.406 (67.931) Epoch: [29][7100/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.3794 (2.6492) Prec@1 47.656 (42.809) Prec@5 67.188 (67.928) Epoch: [29][7110/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3998 (2.6492) Prec@1 43.750 (42.808) Prec@5 70.312 (67.928) Epoch: [29][7120/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.4165 (2.6490) Prec@1 45.312 (42.813) Prec@5 69.531 (67.932) Epoch: [29][7130/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7602 (2.6491) Prec@1 39.844 (42.811) Prec@5 67.188 (67.931) Epoch: [29][7140/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.8510 (2.6490) Prec@1 40.625 (42.811) Prec@5 63.281 (67.933) Epoch: [29][7150/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.7275 (2.6490) Prec@1 46.094 (42.811) Prec@5 64.062 (67.932) Epoch: [29][7160/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4612 (2.6491) Prec@1 46.875 (42.808) Prec@5 73.438 (67.931) Epoch: [29][7170/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.6592 (2.6493) Prec@1 42.188 (42.807) Prec@5 67.969 (67.929) Epoch: [29][7180/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.9415 (2.6494) Prec@1 38.281 (42.804) Prec@5 66.406 (67.927) Epoch: [29][7190/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6437 (2.6493) Prec@1 49.219 (42.805) Prec@5 71.094 (67.927) Epoch: [29][7200/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5802 (2.6494) Prec@1 46.094 (42.805) Prec@5 69.531 (67.925) Epoch: [29][7210/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.4732 (2.6494) Prec@1 46.875 (42.804) Prec@5 69.531 (67.924) Epoch: [29][7220/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8980 (2.6495) Prec@1 38.281 (42.803) Prec@5 61.719 (67.922) Epoch: [29][7230/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.8392 (2.6497) Prec@1 41.406 (42.800) Prec@5 64.062 (67.918) Epoch: [29][7240/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5301 (2.6495) Prec@1 45.312 (42.803) Prec@5 71.094 (67.921) Epoch: [29][7250/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6679 (2.6495) Prec@1 39.062 (42.801) Prec@5 69.531 (67.922) Epoch: [29][7260/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.8353 (2.6496) Prec@1 43.750 (42.800) Prec@5 63.281 (67.921) Epoch: [29][7270/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8153 (2.6496) Prec@1 40.625 (42.802) Prec@5 61.719 (67.921) Epoch: [29][7280/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5223 (2.6497) Prec@1 46.094 (42.799) Prec@5 67.969 (67.920) Epoch: [29][7290/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.3105 (2.6498) Prec@1 45.312 (42.799) Prec@5 70.312 (67.918) Epoch: [29][7300/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.7218 (2.6499) Prec@1 33.594 (42.797) Prec@5 67.969 (67.916) Epoch: [29][7310/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7306 (2.6500) Prec@1 39.844 (42.795) Prec@5 67.188 (67.914) Epoch: [29][7320/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4502 (2.6500) Prec@1 51.562 (42.795) Prec@5 67.188 (67.913) Epoch: [29][7330/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5351 (2.6498) Prec@1 48.438 (42.797) Prec@5 70.312 (67.916) Epoch: [29][7340/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.5989 (2.6499) Prec@1 46.094 (42.797) Prec@5 65.625 (67.913) Epoch: [29][7350/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5112 (2.6499) Prec@1 44.531 (42.797) Prec@5 71.094 (67.915) Epoch: [29][7360/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5688 (2.6499) Prec@1 41.406 (42.798) Prec@5 64.844 (67.914) Epoch: [29][7370/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.8171 (2.6500) Prec@1 41.406 (42.796) Prec@5 65.625 (67.912) Epoch: [29][7380/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.5550 (2.6501) Prec@1 38.281 (42.796) Prec@5 66.406 (67.913) Epoch: [29][7390/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 3.1936 (2.6502) Prec@1 35.938 (42.795) Prec@5 61.719 (67.911) Epoch: [29][7400/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 3.3073 (2.6502) Prec@1 34.375 (42.794) Prec@5 56.250 (67.909) Epoch: [29][7410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5022 (2.6502) Prec@1 44.531 (42.795) Prec@5 71.094 (67.909) Epoch: [29][7420/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3563 (2.6503) Prec@1 44.531 (42.794) Prec@5 73.438 (67.906) Epoch: [29][7430/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6802 (2.6504) Prec@1 42.969 (42.793) Prec@5 70.312 (67.906) Epoch: [29][7440/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.6328 (2.6504) Prec@1 39.844 (42.793) Prec@5 58.594 (67.905) Epoch: [29][7450/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.9180 (2.6504) Prec@1 39.844 (42.793) Prec@5 64.062 (67.904) Epoch: [29][7460/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.3141 (2.6504) Prec@1 42.188 (42.791) Prec@5 78.125 (67.904) Epoch: [29][7470/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.4716 (2.6503) Prec@1 44.531 (42.793) Prec@5 73.438 (67.906) Epoch: [29][7480/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7357 (2.6504) Prec@1 42.969 (42.791) Prec@5 68.750 (67.906) Epoch: [29][7490/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.8664 (2.6503) Prec@1 39.062 (42.795) Prec@5 67.188 (67.906) Epoch: [29][7500/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7104 (2.6503) Prec@1 41.406 (42.796) Prec@5 66.406 (67.907) Epoch: [29][7510/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.8216 (2.6504) Prec@1 35.156 (42.792) Prec@5 67.188 (67.904) Epoch: [29][7520/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.7104 (2.6505) Prec@1 40.625 (42.791) Prec@5 60.156 (67.904) Epoch: [29][7530/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7573 (2.6504) Prec@1 40.625 (42.793) Prec@5 62.500 (67.907) Epoch: [29][7540/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4814 (2.6504) Prec@1 44.531 (42.793) Prec@5 69.531 (67.907) Epoch: [29][7550/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.7229 (2.6505) Prec@1 39.844 (42.792) Prec@5 61.719 (67.904) Epoch: [29][7560/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.8126 (2.6505) Prec@1 39.062 (42.792) Prec@5 65.625 (67.905) Epoch: [29][7570/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 3.0657 (2.6506) Prec@1 39.062 (42.791) Prec@5 65.625 (67.904) Epoch: [29][7580/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5051 (2.6506) Prec@1 42.969 (42.792) Prec@5 68.750 (67.903) Epoch: [29][7590/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5357 (2.6506) Prec@1 46.094 (42.790) Prec@5 69.531 (67.904) Epoch: [29][7600/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5685 (2.6506) Prec@1 45.312 (42.790) Prec@5 64.844 (67.902) Epoch: [29][7610/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5329 (2.6506) Prec@1 50.000 (42.791) Prec@5 71.094 (67.903) Epoch: [29][7620/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.5487 (2.6505) Prec@1 43.750 (42.793) Prec@5 64.062 (67.905) Epoch: [29][7630/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0677 (2.6507) Prec@1 28.906 (42.789) Prec@5 64.062 (67.903) Epoch: [29][7640/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 2.7003 (2.6507) Prec@1 44.531 (42.789) Prec@5 67.969 (67.903) Epoch: [29][7650/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 3.1008 (2.6509) Prec@1 39.062 (42.786) Prec@5 55.469 (67.899) Epoch: [29][7660/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5328 (2.6509) Prec@1 42.969 (42.786) Prec@5 70.312 (67.898) Epoch: [29][7670/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.5964 (2.6510) Prec@1 42.188 (42.785) Prec@5 69.531 (67.896) Epoch: [29][7680/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.6241 (2.6510) Prec@1 42.188 (42.784) Prec@5 69.531 (67.898) Epoch: [29][7690/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4774 (2.6510) Prec@1 44.531 (42.782) Prec@5 70.312 (67.898) Epoch: [29][7700/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.4819 (2.6510) Prec@1 47.656 (42.784) Prec@5 68.750 (67.898) Epoch: [29][7710/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.3885 (2.6510) Prec@1 45.312 (42.783) Prec@5 73.438 (67.897) Epoch: [29][7720/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.8386 (2.6511) Prec@1 39.062 (42.783) Prec@5 64.844 (67.896) Epoch: [29][7730/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0365 (2.6510) Prec@1 57.812 (42.783) Prec@5 82.031 (67.896) Epoch: [29][7740/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7062 (2.6512) Prec@1 46.094 (42.780) Prec@5 67.188 (67.896) Epoch: [29][7750/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3167 (2.6512) Prec@1 48.438 (42.781) Prec@5 72.656 (67.894) Epoch: [29][7760/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.5604 (2.6513) Prec@1 46.094 (42.778) Prec@5 68.750 (67.892) Epoch: [29][7770/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.9350 (2.6514) Prec@1 36.719 (42.777) Prec@5 60.938 (67.892) Epoch: [29][7780/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.9941 (2.6514) Prec@1 32.812 (42.774) Prec@5 58.594 (67.891) Epoch: [29][7790/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.7824 (2.6515) Prec@1 41.406 (42.771) Prec@5 66.406 (67.889) Epoch: [29][7800/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.5986 (2.6516) Prec@1 47.656 (42.771) Prec@5 69.531 (67.890) Epoch: [29][7810/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6698 (2.6517) Prec@1 42.969 (42.767) Prec@5 66.406 (67.887) Epoch: [29][7820/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5432 (2.6517) Prec@1 46.875 (42.765) Prec@5 67.188 (67.887) Epoch: [29][7830/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.6568 (2.6518) Prec@1 39.844 (42.763) Prec@5 65.625 (67.883) Epoch: [29][7840/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7965 (2.6518) Prec@1 44.531 (42.763) Prec@5 67.969 (67.884) Epoch: [29][7850/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.1850 (2.6516) Prec@1 54.688 (42.767) Prec@5 76.562 (67.888) Epoch: [29][7860/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6865 (2.6517) Prec@1 39.062 (42.767) Prec@5 68.750 (67.886) Epoch: [29][7870/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.6299 (2.6520) Prec@1 46.094 (42.763) Prec@5 67.188 (67.883) Epoch: [29][7880/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.6759 (2.6520) Prec@1 44.531 (42.763) Prec@5 72.656 (67.883) Epoch: [29][7890/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6194 (2.6520) Prec@1 42.969 (42.763) Prec@5 74.219 (67.883) Epoch: [29][7900/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.6007 (2.6522) Prec@1 42.969 (42.763) Prec@5 69.531 (67.879) Epoch: [29][7910/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5795 (2.6522) Prec@1 46.875 (42.763) Prec@5 64.062 (67.879) Epoch: [29][7920/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.3899 (2.6522) Prec@1 48.438 (42.763) Prec@5 74.219 (67.880) Epoch: [29][7930/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.7439 (2.6523) Prec@1 43.750 (42.760) Prec@5 67.188 (67.878) Epoch: [29][7940/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5915 (2.6522) Prec@1 39.062 (42.761) Prec@5 71.875 (67.877) Epoch: [29][7950/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.7036 (2.6522) Prec@1 41.406 (42.761) Prec@5 67.969 (67.879) Epoch: [29][7960/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.3628 (2.6521) Prec@1 46.875 (42.762) Prec@5 71.094 (67.881) Epoch: [29][7970/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.4733 (2.6521) Prec@1 45.312 (42.763) Prec@5 66.406 (67.880) Epoch: [29][7980/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5652 (2.6521) Prec@1 42.969 (42.760) Prec@5 66.406 (67.881) Epoch: [29][7990/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5832 (2.6521) Prec@1 46.094 (42.759) Prec@5 69.531 (67.881) Epoch: [29][8000/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7635 (2.6521) Prec@1 37.500 (42.759) Prec@5 64.844 (67.880) Epoch: [29][8010/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.5299 (2.6522) Prec@1 43.750 (42.755) Prec@5 68.750 (67.878) Epoch: [29][8020/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9935 (2.6524) Prec@1 37.500 (42.753) Prec@5 59.375 (67.878) Epoch: [29][8030/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.6872 (2.6524) Prec@1 42.969 (42.754) Prec@5 67.188 (67.878) Epoch: [29][8040/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8180 (2.6525) Prec@1 35.156 (42.751) Prec@5 66.406 (67.876) Epoch: [29][8050/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6074 (2.6526) Prec@1 41.406 (42.751) Prec@5 66.406 (67.874) Epoch: [29][8060/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.8066 (2.6525) Prec@1 41.406 (42.752) Prec@5 60.938 (67.875) Epoch: [29][8070/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5571 (2.6526) Prec@1 45.312 (42.750) Prec@5 65.625 (67.873) Epoch: [29][8080/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.4210 (2.6525) Prec@1 50.781 (42.751) Prec@5 71.875 (67.874) Epoch: [29][8090/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4394 (2.6525) Prec@1 42.969 (42.752) Prec@5 71.875 (67.873) Epoch: [29][8100/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.5578 (2.6525) Prec@1 47.656 (42.752) Prec@5 69.531 (67.874) Epoch: [29][8110/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7549 (2.6524) Prec@1 42.188 (42.752) Prec@5 65.625 (67.876) Epoch: [29][8120/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2591 (2.6523) Prec@1 50.781 (42.753) Prec@5 71.875 (67.877) Epoch: [29][8130/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.4755 (2.6523) Prec@1 40.625 (42.751) Prec@5 67.188 (67.877) Epoch: [29][8140/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.9551 (2.6524) Prec@1 35.938 (42.748) Prec@5 61.719 (67.876) Epoch: [29][8150/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9945 (2.6526) Prec@1 39.844 (42.747) Prec@5 61.719 (67.873) Epoch: [29][8160/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.5264 (2.6526) Prec@1 41.406 (42.746) Prec@5 71.875 (67.871) Epoch: [29][8170/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5744 (2.6528) Prec@1 43.750 (42.744) Prec@5 65.625 (67.868) Epoch: [29][8180/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.6556 (2.6527) Prec@1 38.281 (42.743) Prec@5 67.188 (67.868) Epoch: [29][8190/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.6157 (2.6527) Prec@1 42.969 (42.743) Prec@5 69.531 (67.869) Epoch: [29][8200/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.5559 (2.6526) Prec@1 42.188 (42.745) Prec@5 69.531 (67.870) Epoch: [29][8210/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.7837 (2.6525) Prec@1 44.531 (42.748) Prec@5 65.625 (67.872) Epoch: [29][8220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8523 (2.6525) Prec@1 42.969 (42.746) Prec@5 72.656 (67.870) Epoch: [29][8230/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5763 (2.6525) Prec@1 40.625 (42.746) Prec@5 68.750 (67.869) Epoch: [29][8240/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.9559 (2.6526) Prec@1 35.156 (42.745) Prec@5 60.156 (67.866) Epoch: [29][8250/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6116 (2.6524) Prec@1 44.531 (42.748) Prec@5 67.969 (67.868) Epoch: [29][8260/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7360 (2.6524) Prec@1 45.312 (42.750) Prec@5 65.625 (67.868) Epoch: [29][8270/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.4156 (2.6523) Prec@1 45.312 (42.751) Prec@5 74.219 (67.867) Epoch: [29][8280/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.8450 (2.6523) Prec@1 32.031 (42.751) Prec@5 65.625 (67.866) Epoch: [29][8290/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7357 (2.6524) Prec@1 43.750 (42.750) Prec@5 62.500 (67.864) Epoch: [29][8300/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1660 (2.6525) Prec@1 51.562 (42.748) Prec@5 72.656 (67.862) Epoch: [29][8310/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5315 (2.6525) Prec@1 42.188 (42.748) Prec@5 70.312 (67.863) Epoch: [29][8320/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.5595 (2.6525) Prec@1 46.875 (42.750) Prec@5 69.531 (67.861) Epoch: [29][8330/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6893 (2.6525) Prec@1 39.062 (42.748) Prec@5 63.281 (67.860) Epoch: [29][8340/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.9447 (2.6528) Prec@1 39.844 (42.746) Prec@5 64.062 (67.857) Epoch: [29][8350/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5932 (2.6529) Prec@1 43.750 (42.744) Prec@5 69.531 (67.856) Epoch: [29][8360/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.5620 (2.6529) Prec@1 45.312 (42.742) Prec@5 68.750 (67.855) Epoch: [29][8370/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.6071 (2.6527) Prec@1 39.062 (42.744) Prec@5 68.750 (67.855) Epoch: [29][8380/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7875 (2.6528) Prec@1 38.281 (42.742) Prec@5 68.750 (67.852) Epoch: [29][8390/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 3.1183 (2.6530) Prec@1 40.625 (42.737) Prec@5 58.594 (67.847) Epoch: [29][8400/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8222 (2.6531) Prec@1 41.406 (42.737) Prec@5 64.844 (67.846) Epoch: [29][8410/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5602 (2.6532) Prec@1 46.094 (42.736) Prec@5 66.406 (67.844) Epoch: [29][8420/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.4981 (2.6531) Prec@1 44.531 (42.739) Prec@5 68.750 (67.844) Epoch: [29][8430/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8030 (2.6530) Prec@1 35.156 (42.742) Prec@5 65.625 (67.847) Epoch: [29][8440/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.4907 (2.6530) Prec@1 47.656 (42.744) Prec@5 71.875 (67.847) Epoch: [29][8450/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.5176 (2.6529) Prec@1 42.188 (42.746) Prec@5 70.312 (67.848) Epoch: [29][8460/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.6323 (2.6529) Prec@1 45.312 (42.747) Prec@5 64.062 (67.848) Epoch: [29][8470/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.5383 (2.6527) Prec@1 44.531 (42.749) Prec@5 67.188 (67.851) Epoch: [29][8480/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.5290 (2.6527) Prec@1 39.844 (42.750) Prec@5 69.531 (67.852) Epoch: [29][8490/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.9909 (2.6527) Prec@1 44.531 (42.751) Prec@5 59.375 (67.851) Epoch: [29][8500/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7268 (2.6527) Prec@1 42.969 (42.750) Prec@5 61.719 (67.849) Epoch: [29][8510/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.5453 (2.6530) Prec@1 42.969 (42.746) Prec@5 71.094 (67.846) /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: [29][8520/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.5422 (2.6529) Prec@1 44.531 (42.746) Prec@5 67.969 (67.847) Epoch: [29][8530/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.9030 (2.6531) Prec@1 40.625 (42.744) Prec@5 65.625 (67.845) Epoch: [29][8540/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.9128 (2.6533) Prec@1 40.625 (42.742) Prec@5 63.281 (67.845) Epoch: [29][8550/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.7267 (2.6533) Prec@1 40.625 (42.740) Prec@5 67.188 (67.842) Epoch: [29][8560/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7774 (2.6534) Prec@1 45.312 (42.738) Prec@5 60.156 (67.840) Epoch: [29][8570/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6898 (2.6534) Prec@1 39.062 (42.739) Prec@5 63.281 (67.841) Epoch: [29][8580/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.6332 (2.6533) Prec@1 43.750 (42.739) Prec@5 64.062 (67.841) Epoch: [29][8590/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4637 (2.6533) Prec@1 51.562 (42.741) Prec@5 73.438 (67.842) Epoch: [29][8600/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.5935 (2.6533) Prec@1 41.406 (42.740) Prec@5 67.969 (67.841) Epoch: [29][8610/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5963 (2.6534) Prec@1 41.406 (42.738) Prec@5 71.875 (67.840) Epoch: [29][8620/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.6882 (2.6533) Prec@1 39.062 (42.737) Prec@5 67.188 (67.840) Epoch: [29][8630/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.5476 (2.6534) Prec@1 43.750 (42.735) Prec@5 67.188 (67.838) Epoch: [29][8640/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2537 (2.6533) Prec@1 53.906 (42.739) Prec@5 75.000 (67.839) Epoch: [29][8650/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.7023 (2.6533) Prec@1 41.406 (42.741) Prec@5 64.844 (67.841) Epoch: [29][8660/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.5823 (2.6534) Prec@1 47.656 (42.740) Prec@5 73.438 (67.841) Epoch: [29][8670/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7527 (2.6535) Prec@1 43.750 (42.739) Prec@5 66.406 (67.837) Epoch: [29][8680/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.5869 (2.6535) Prec@1 47.656 (42.740) Prec@5 71.094 (67.836) Epoch: [29][8690/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.6100 (2.6536) Prec@1 41.406 (42.739) Prec@5 68.750 (67.834) Epoch: [29][8700/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7510 (2.6535) Prec@1 42.188 (42.741) Prec@5 66.406 (67.835) Epoch: [29][8710/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.9607 (2.6535) Prec@1 35.156 (42.739) Prec@5 59.375 (67.837) Epoch: [29][8720/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 3.0454 (2.6536) Prec@1 31.250 (42.738) Prec@5 59.375 (67.835) Epoch: [29][8730/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.4332 (2.6536) Prec@1 46.094 (42.737) Prec@5 67.969 (67.834) Epoch: [29][8740/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.5550 (2.6537) Prec@1 39.844 (42.737) Prec@5 74.219 (67.833) Epoch: [29][8750/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.8804 (2.6537) Prec@1 41.406 (42.737) Prec@5 64.844 (67.834) Epoch: [29][8760/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.9225 (2.6538) Prec@1 40.625 (42.737) Prec@5 64.844 (67.833) Epoch: [29][8770/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3648 (2.6540) Prec@1 50.000 (42.736) Prec@5 72.656 (67.832) Epoch: [29][8780/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.9667 (2.6540) Prec@1 39.844 (42.737) Prec@5 65.625 (67.832) Epoch: [29][8790/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6492 (2.6541) Prec@1 46.094 (42.736) Prec@5 65.625 (67.830) Epoch: [29][8800/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.7643 (2.6541) Prec@1 42.188 (42.735) Prec@5 62.500 (67.827) Epoch: [29][8810/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.7864 (2.6541) Prec@1 39.062 (42.735) Prec@5 67.969 (67.829) Epoch: [29][8820/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.7460 (2.6541) Prec@1 38.281 (42.736) Prec@5 64.844 (67.829) Epoch: [29][8830/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8663 (2.6540) Prec@1 39.844 (42.737) Prec@5 63.281 (67.829) Epoch: [29][8840/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7164 (2.6539) Prec@1 39.062 (42.737) Prec@5 64.844 (67.830) Epoch: [29][8850/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 3.0719 (2.6540) Prec@1 36.719 (42.735) Prec@5 61.719 (67.828) Epoch: [29][8860/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6920 (2.6540) Prec@1 44.531 (42.736) Prec@5 71.094 (67.828) Epoch: [29][8870/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.6470 (2.6540) Prec@1 39.844 (42.737) Prec@5 63.281 (67.827) Epoch: [29][8880/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 3.0676 (2.6541) Prec@1 35.156 (42.736) Prec@5 61.719 (67.826) Epoch: [29][8890/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.5987 (2.6542) Prec@1 41.406 (42.735) Prec@5 67.969 (67.823) Epoch: [29][8900/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.8699 (2.6543) Prec@1 37.500 (42.735) Prec@5 59.375 (67.820) Epoch: [29][8910/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7772 (2.6543) Prec@1 41.406 (42.734) Prec@5 63.281 (67.819) Epoch: [29][8920/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.7467 (2.6544) Prec@1 35.156 (42.731) Prec@5 64.062 (67.818) Epoch: [29][8930/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.3679 (2.6545) Prec@1 45.312 (42.731) Prec@5 73.438 (67.818) Epoch: [29][8940/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.3582 (2.6544) Prec@1 46.094 (42.732) Prec@5 70.312 (67.818) Epoch: [29][8950/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.7481 (2.6544) Prec@1 39.062 (42.734) Prec@5 63.281 (67.821) Epoch: [29][8960/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.5526 (2.6543) Prec@1 47.656 (42.735) Prec@5 74.219 (67.822) Epoch: [29][8970/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6030 (2.6543) Prec@1 48.438 (42.736) Prec@5 67.188 (67.823) Epoch: [29][8980/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.8078 (2.6544) Prec@1 35.938 (42.733) Prec@5 65.625 (67.821) Epoch: [29][8990/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.8997 (2.6544) Prec@1 36.719 (42.733) Prec@5 63.281 (67.822) Epoch: [29][9000/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.7000 (2.6544) Prec@1 46.094 (42.734) Prec@5 63.281 (67.821) Epoch: [29][9010/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8751 (2.6544) Prec@1 38.281 (42.734) Prec@5 63.281 (67.820) Epoch: [29][9020/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.5331 (2.6545) Prec@1 46.875 (42.733) Prec@5 68.750 (67.821) Epoch: [29][9030/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 3.0605 (2.6544) Prec@1 39.844 (42.734) Prec@5 59.375 (67.821) Epoch: [29][9040/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.6723 (2.6544) Prec@1 45.312 (42.733) Prec@5 70.312 (67.823) Epoch: [29][9050/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5390 (2.6543) Prec@1 46.875 (42.735) Prec@5 65.625 (67.824) Epoch: [29][9060/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.6908 (2.6543) Prec@1 43.750 (42.736) Prec@5 64.844 (67.825) Epoch: [29][9070/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.6884 (2.6544) Prec@1 43.750 (42.735) Prec@5 62.500 (67.823) Epoch: [29][9080/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5209 (2.6545) Prec@1 46.094 (42.735) Prec@5 69.531 (67.821) Epoch: [29][9090/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.7223 (2.6546) Prec@1 39.844 (42.733) Prec@5 66.406 (67.819) Epoch: [29][9100/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3648 (2.6546) Prec@1 48.438 (42.732) Prec@5 71.875 (67.819) Epoch: [29][9110/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 3.0308 (2.6546) Prec@1 34.375 (42.729) Prec@5 63.281 (67.818) Epoch: [29][9120/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.6244 (2.6547) Prec@1 46.094 (42.728) Prec@5 64.062 (67.818) Epoch: [29][9130/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.8736 (2.6548) Prec@1 39.844 (42.727) Prec@5 63.281 (67.816) Epoch: [29][9140/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5578 (2.6548) Prec@1 44.531 (42.726) Prec@5 65.625 (67.815) Epoch: [29][9150/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7363 (2.6548) Prec@1 40.625 (42.726) Prec@5 66.406 (67.815) Epoch: [29][9160/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.6944 (2.6549) Prec@1 40.625 (42.724) Prec@5 69.531 (67.814) Epoch: [29][9170/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.5508 (2.6548) Prec@1 39.844 (42.725) Prec@5 69.531 (67.815) Epoch: [29][9180/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.4260 (2.6549) Prec@1 47.656 (42.723) Prec@5 71.875 (67.813) Epoch: [29][9190/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.7147 (2.6549) Prec@1 43.750 (42.724) Prec@5 67.188 (67.812) Epoch: [29][9200/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4459 (2.6548) Prec@1 43.750 (42.724) Prec@5 73.438 (67.814) Epoch: [29][9210/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.1714 (2.6548) Prec@1 59.375 (42.726) Prec@5 76.562 (67.813) Epoch: [29][9220/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.5726 (2.6549) Prec@1 48.438 (42.726) Prec@5 69.531 (67.812) Epoch: [29][9230/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.7827 (2.6549) Prec@1 44.531 (42.727) Prec@5 65.625 (67.812) Epoch: [29][9240/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.5928 (2.6550) Prec@1 45.312 (42.726) Prec@5 67.969 (67.811) Epoch: [29][9250/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.6709 (2.6550) Prec@1 44.531 (42.726) Prec@5 65.625 (67.810) Epoch: [29][9260/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.7405 (2.6550) Prec@1 39.062 (42.725) Prec@5 67.188 (67.810) Epoch: [29][9270/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.7773 (2.6552) Prec@1 37.500 (42.724) Prec@5 67.969 (67.808) Epoch: [29][9280/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6020 (2.6552) Prec@1 47.656 (42.723) Prec@5 73.438 (67.808) Epoch: [29][9290/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6816 (2.6552) Prec@1 44.531 (42.724) Prec@5 66.406 (67.810) Epoch: [29][9300/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.6542 (2.6552) Prec@1 50.000 (42.725) Prec@5 70.312 (67.810) Epoch: [29][9310/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.6698 (2.6553) Prec@1 49.219 (42.727) Prec@5 67.969 (67.810) Epoch: [29][9320/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4491 (2.6552) Prec@1 44.531 (42.728) Prec@5 76.562 (67.812) Epoch: [29][9330/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.7695 (2.6553) Prec@1 42.969 (42.728) Prec@5 63.281 (67.811) Epoch: [29][9340/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2694 (2.6552) Prec@1 56.250 (42.730) Prec@5 77.344 (67.811) Epoch: [29][9350/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.8813 (2.6551) Prec@1 36.719 (42.731) Prec@5 64.844 (67.813) Epoch: [29][9360/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.6285 (2.6551) Prec@1 39.844 (42.732) Prec@5 67.188 (67.814) Epoch: [29][9370/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.9229 (2.6552) Prec@1 39.062 (42.729) Prec@5 60.938 (67.811) Epoch: [29][9380/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.5471 (2.6551) Prec@1 39.062 (42.732) Prec@5 69.531 (67.814) Epoch: [29][9390/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.6245 (2.6551) Prec@1 36.719 (42.730) Prec@5 70.312 (67.814) Epoch: [29][9400/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7153 (2.6552) Prec@1 41.406 (42.729) Prec@5 67.188 (67.814) Epoch: [29][9410/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.6694 (2.6551) Prec@1 47.656 (42.729) Prec@5 67.969 (67.815) Epoch: [29][9420/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8930 (2.6551) Prec@1 35.156 (42.728) Prec@5 62.500 (67.813) Epoch: [29][9430/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.9983 (2.6551) Prec@1 38.281 (42.729) Prec@5 63.281 (67.814) Epoch: [29][9440/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.6307 (2.6551) Prec@1 47.656 (42.730) Prec@5 63.281 (67.814) Epoch: [29][9450/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5396 (2.6552) Prec@1 39.844 (42.727) Prec@5 72.656 (67.814) Epoch: [29][9460/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.5397 (2.6552) Prec@1 49.219 (42.728) Prec@5 66.406 (67.813) Epoch: [29][9470/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.8153 (2.6554) Prec@1 33.594 (42.726) Prec@5 67.188 (67.810) Epoch: [29][9480/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.7616 (2.6555) Prec@1 44.531 (42.725) Prec@5 66.406 (67.808) Epoch: [29][9490/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.7574 (2.6556) Prec@1 42.969 (42.724) Prec@5 66.406 (67.807) Epoch: [29][9500/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.8128 (2.6556) Prec@1 39.062 (42.723) Prec@5 64.062 (67.805) Epoch: [29][9510/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.8196 (2.6556) Prec@1 39.062 (42.723) Prec@5 64.062 (67.806) Epoch: [29][9520/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 3.0137 (2.6557) Prec@1 40.625 (42.721) Prec@5 59.375 (67.806) Epoch: [29][9530/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.4589 (2.6558) Prec@1 41.406 (42.720) Prec@5 67.969 (67.803) Epoch: [29][9540/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.6992 (2.6559) Prec@1 41.406 (42.719) Prec@5 67.188 (67.801) Epoch: [29][9550/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.8877 (2.6560) Prec@1 42.188 (42.718) Prec@5 67.188 (67.801) Epoch: [29][9560/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.6802 (2.6560) Prec@1 42.969 (42.718) Prec@5 69.531 (67.801) Epoch: [29][9570/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8321 (2.6561) Prec@1 40.625 (42.717) Prec@5 65.625 (67.801) Epoch: [29][9580/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.8286 (2.6560) Prec@1 45.312 (42.721) Prec@5 64.062 (67.802) Epoch: [29][9590/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.9365 (2.6561) Prec@1 37.500 (42.719) Prec@5 62.500 (67.801) Epoch: [29][9600/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.6509 (2.6561) Prec@1 39.844 (42.719) Prec@5 67.188 (67.801) Epoch: [29][9610/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.5491 (2.6561) Prec@1 41.406 (42.718) Prec@5 66.406 (67.800) Epoch: [29][9620/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.4883 (2.6562) Prec@1 44.531 (42.717) Prec@5 73.438 (67.798) Epoch: [29][9630/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.7306 (2.6563) Prec@1 36.719 (42.717) Prec@5 67.969 (67.797) Epoch: [29][9640/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1910 (2.6562) Prec@1 54.688 (42.717) Prec@5 75.000 (67.796) Epoch: [29][9650/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.6031 (2.6562) Prec@1 40.625 (42.717) Prec@5 66.406 (67.795) Epoch: [29][9660/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.6227 (2.6562) Prec@1 35.938 (42.718) Prec@5 68.750 (67.796) Epoch: [29][9670/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.5912 (2.6562) Prec@1 45.312 (42.717) Prec@5 74.219 (67.796) Epoch: [29][9680/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.4431 (2.6561) Prec@1 42.969 (42.719) Prec@5 68.750 (67.798) Epoch: [29][9690/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7414 (2.6561) Prec@1 41.406 (42.718) Prec@5 69.531 (67.798) Epoch: [29][9700/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 3.0351 (2.6561) Prec@1 37.500 (42.718) Prec@5 59.375 (67.798) Epoch: [29][9710/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.5402 (2.6561) Prec@1 44.531 (42.718) Prec@5 69.531 (67.797) Epoch: [29][9720/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.8380 (2.6563) Prec@1 40.625 (42.717) Prec@5 61.719 (67.793) Epoch: [29][9730/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.6561 (2.6564) Prec@1 42.188 (42.717) Prec@5 70.312 (67.792) Epoch: [29][9740/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.5098 (2.6564) Prec@1 50.781 (42.718) Prec@5 71.094 (67.793) Epoch: [29][9750/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.4650 (2.6564) Prec@1 50.000 (42.718) Prec@5 71.094 (67.793) Epoch: [29][9760/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.3240 (2.6564) Prec@1 46.875 (42.720) Prec@5 71.094 (67.794) Epoch: [29][9770/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.5721 (2.6563) Prec@1 42.188 (42.721) Prec@5 67.969 (67.795) Epoch: [29][9780/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4464 (2.6563) Prec@1 42.969 (42.720) Prec@5 75.781 (67.795) Epoch: [29][9790/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.6576 (2.6563) Prec@1 40.625 (42.720) Prec@5 70.312 (67.794) Epoch: [29][9800/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.5373 (2.6563) Prec@1 42.969 (42.720) Prec@5 74.219 (67.795) Epoch: [29][9810/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.7322 (2.6564) Prec@1 41.406 (42.720) Prec@5 64.844 (67.794) Epoch: [29][9820/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.7386 (2.6564) Prec@1 41.406 (42.720) Prec@5 65.625 (67.794) Epoch: [29][9830/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.6614 (2.6565) Prec@1 46.875 (42.722) Prec@5 65.625 (67.792) Epoch: [29][9840/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.5227 (2.6565) Prec@1 42.188 (42.723) Prec@5 71.094 (67.791) Epoch: [29][9850/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.7757 (2.6565) Prec@1 41.406 (42.723) Prec@5 66.406 (67.791) Epoch: [29][9860/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.8033 (2.6565) Prec@1 41.406 (42.724) Prec@5 62.500 (67.792) Epoch: [29][9870/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.7985 (2.6565) Prec@1 44.531 (42.726) Prec@5 65.625 (67.792) Epoch: [29][9880/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.8711 (2.6565) Prec@1 35.156 (42.725) Prec@5 64.062 (67.792) Epoch: [29][9890/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.2177 (2.6564) Prec@1 50.781 (42.725) Prec@5 75.781 (67.794) Epoch: [29][9900/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.4625 (2.6563) Prec@1 43.750 (42.725) Prec@5 70.312 (67.795) Epoch: [29][9910/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.5664 (2.6564) Prec@1 51.562 (42.726) Prec@5 67.969 (67.794) Epoch: [29][9920/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.5642 (2.6564) Prec@1 42.969 (42.729) Prec@5 67.188 (67.795) Epoch: [29][9930/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.5585 (2.6564) Prec@1 49.219 (42.729) Prec@5 64.062 (67.795) Epoch: [29][9940/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.8089 (2.6564) Prec@1 37.500 (42.728) Prec@5 65.625 (67.794) Epoch: [29][9950/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.6181 (2.6563) Prec@1 41.406 (42.728) Prec@5 71.875 (67.795) Epoch: [29][9960/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.3519 (2.6563) Prec@1 47.656 (42.728) Prec@5 72.656 (67.795) Epoch: [29][9970/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.6926 (2.6562) Prec@1 46.875 (42.729) Prec@5 66.406 (67.798) Epoch: [29][9980/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.3149 (2.6563) Prec@1 50.781 (42.729) Prec@5 70.312 (67.797) Epoch: [29][9990/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.5373 (2.6563) Prec@1 41.406 (42.728) Prec@5 66.406 (67.797) Epoch: [29][10000/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.7478 (2.6563) Prec@1 39.062 (42.727) Prec@5 65.625 (67.797) Test: [0/391] Time 1.577 (1.577) Loss 0.7616 (0.7616) Prec@1 84.375 (84.375) Prec@5 95.312 (95.312) Test: [10/391] Time 0.107 (0.242) Loss 2.0692 (1.5088) Prec@1 53.906 (62.784) Prec@5 76.562 (86.080) Test: [20/391] Time 0.113 (0.178) Loss 2.0052 (2.0270) Prec@1 54.688 (53.423) Prec@5 79.688 (79.092) Test: [30/391] Time 0.103 (0.155) Loss 3.3794 (2.2666) Prec@1 30.469 (48.664) Prec@5 60.938 (76.336) Test: [40/391] Time 0.102 (0.144) Loss 2.5250 (2.0709) Prec@1 43.750 (52.611) Prec@5 67.188 (78.525) Test: [50/391] Time 0.108 (0.137) Loss 1.1706 (2.1286) Prec@1 71.094 (51.869) Prec@5 88.281 (77.604) Test: [60/391] Time 0.105 (0.132) Loss 2.6891 (2.0850) Prec@1 37.500 (52.741) Prec@5 71.094 (78.189) Test: [70/391] Time 0.105 (0.128) Loss 1.9704 (2.1406) Prec@1 46.875 (50.176) Prec@5 82.031 (77.751) Test: [80/391] Time 0.105 (0.125) Loss 2.2523 (2.1386) Prec@1 48.438 (49.402) Prec@5 70.312 (77.623) Test: [90/391] Time 0.098 (0.124) Loss 2.0802 (2.1378) Prec@1 32.812 (49.339) Prec@5 86.719 (77.807) Test: [100/391] Time 0.104 (0.122) Loss 2.3300 (2.1184) Prec@1 50.781 (49.219) Prec@5 78.906 (78.574) Test: [110/391] Time 0.107 (0.120) Loss 2.0438 (2.1356) Prec@1 50.781 (48.881) Prec@5 79.688 (78.315) Test: [120/391] Time 0.106 (0.119) Loss 2.2859 (2.1212) Prec@1 52.344 (49.387) Prec@5 72.656 (78.603) Test: [130/391] Time 0.108 (0.118) Loss 1.1985 (2.1139) Prec@1 74.219 (49.767) Prec@5 89.062 (78.614) Test: [140/391] Time 0.104 (0.118) Loss 2.8130 (2.1228) Prec@1 34.375 (49.596) Prec@5 69.531 (78.463) Test: [150/391] Time 0.103 (0.117) Loss 2.3360 (2.1286) Prec@1 40.625 (49.498) Prec@5 78.125 (78.239) Test: [160/391] Time 0.106 (0.116) Loss 2.6499 (2.1458) Prec@1 38.281 (49.461) Prec@5 72.656 (77.975) Test: [170/391] Time 0.106 (0.116) Loss 3.0420 (2.1984) Prec@1 29.688 (48.744) Prec@5 64.062 (77.065) Test: [180/391] Time 0.104 (0.115) Loss 3.0296 (2.2456) Prec@1 28.906 (48.032) Prec@5 65.625 (76.299) Test: [190/391] Time 0.119 (0.115) Loss 3.9974 (2.2954) Prec@1 22.656 (47.468) Prec@5 56.250 (75.479) Test: [200/391] Time 0.101 (0.115) Loss 3.0580 (2.3407) Prec@1 43.750 (46.828) Prec@5 63.281 (74.732) Test: [210/391] Time 0.106 (0.114) Loss 2.9803 (2.3711) Prec@1 36.719 (46.346) Prec@5 63.281 (74.245) Test: [220/391] Time 0.099 (0.114) Loss 1.5170 (2.3779) Prec@1 71.094 (46.415) Prec@5 84.375 (74.014) Test: [230/391] Time 0.106 (0.114) Loss 3.9762 (2.3966) Prec@1 28.125 (46.236) Prec@5 51.562 (73.695) Test: [240/391] Time 0.104 (0.113) Loss 3.2227 (2.4143) Prec@1 39.844 (46.191) Prec@5 65.625 (73.369) Test: [250/391] Time 0.111 (0.113) Loss 2.4935 (2.4587) Prec@1 48.438 (45.674) Prec@5 64.062 (72.753) Test: [260/391] Time 0.109 (0.113) Loss 2.9238 (2.4861) Prec@1 32.812 (45.151) Prec@5 60.938 (72.300) Test: [270/391] Time 0.107 (0.113) Loss 3.1990 (2.4920) Prec@1 32.812 (45.186) Prec@5 61.719 (72.132) Test: [280/391] Time 0.098 (0.112) Loss 2.3342 (2.5087) Prec@1 46.875 (44.923) Prec@5 73.438 (71.858) Test: [290/391] Time 0.124 (0.112) Loss 3.5452 (2.5300) Prec@1 16.406 (44.617) Prec@5 61.719 (71.539) Test: [300/391] Time 0.104 (0.112) Loss 2.4972 (2.5456) Prec@1 56.250 (44.425) Prec@5 71.094 (71.309) Test: [310/391] Time 0.107 (0.112) Loss 2.0351 (2.5539) Prec@1 59.375 (44.353) Prec@5 80.469 (71.174) Test: [320/391] Time 0.144 (0.112) Loss 1.5492 (2.5563) Prec@1 68.750 (44.378) Prec@5 85.156 (71.176) Test: [330/391] Time 0.106 (0.112) Loss 4.0955 (2.5875) Prec@1 30.469 (43.986) Prec@5 49.219 (70.631) Test: [340/391] Time 0.112 (0.111) Loss 2.9441 (2.5936) Prec@1 19.531 (43.819) Prec@5 74.219 (70.530) Test: [350/391] Time 0.106 (0.111) Loss 3.0638 (2.6002) Prec@1 32.812 (43.746) Prec@5 62.500 (70.406) Test: [360/391] Time 0.106 (0.111) Loss 2.3313 (2.6069) Prec@1 42.969 (43.624) Prec@5 74.219 (70.321) Test: [370/391] Time 0.100 (0.111) Loss 2.1697 (2.5972) Prec@1 46.094 (43.761) Prec@5 85.156 (70.519) Test: [380/391] Time 0.099 (0.111) Loss 1.4877 (2.5983) Prec@1 62.500 (43.803) Prec@5 89.844 (70.536) Test: [390/391] Time 0.072 (0.111) Loss 5.0186 (2.5856) Prec@1 12.500 (44.046) Prec@5 40.000 (70.732) * Prec@1 44.046 Prec@5 70.732 Epoch: [30][0/10010] Time 2.804 (2.804) Data 2.620 (2.620) Loss 2.9629 (2.9629) Prec@1 36.719 (36.719) Prec@5 60.938 (60.938) Epoch: [30][10/10010] Time 0.316 (0.547) Data 0.000 (0.239) Loss 2.4484 (2.6737) Prec@1 49.219 (42.330) Prec@5 70.312 (66.832) Epoch: [30][20/10010] Time 0.317 (0.440) Data 0.001 (0.125) Loss 2.5297 (2.5852) Prec@1 45.312 (44.382) Prec@5 75.000 (68.601) Epoch: [30][30/10010] Time 0.320 (0.402) Data 0.000 (0.085) Loss 2.3217 (2.6146) Prec@1 50.000 (43.674) Prec@5 71.094 (67.944) Epoch: [30][40/10010] Time 0.341 (0.384) Data 0.000 (0.064) Loss 2.2326 (2.5784) Prec@1 48.438 (44.207) Prec@5 75.781 (68.579) Epoch: [30][50/10010] Time 0.341 (0.373) Data 0.001 (0.052) Loss 2.2693 (2.5619) Prec@1 53.906 (44.317) Prec@5 72.656 (68.704) Epoch: [30][60/10010] Time 0.321 (0.366) Data 0.001 (0.043) Loss 2.5757 (2.5582) Prec@1 45.312 (44.557) Prec@5 67.969 (68.942) Epoch: [30][70/10010] Time 0.342 (0.360) Data 0.001 (0.037) Loss 2.0435 (2.5420) Prec@1 57.812 (44.861) Prec@5 78.125 (69.289) Epoch: [30][80/10010] Time 0.342 (0.357) Data 0.001 (0.033) Loss 2.2926 (2.5075) Prec@1 46.875 (45.621) Prec@5 73.438 (69.888) Epoch: [30][90/10010] Time 0.326 (0.354) Data 0.001 (0.029) Loss 2.3348 (2.4943) Prec@1 44.531 (45.836) Prec@5 75.781 (70.158) Epoch: [30][100/10010] Time 0.323 (0.352) Data 0.001 (0.026) Loss 2.4658 (2.4782) Prec@1 48.438 (46.187) Prec@5 67.969 (70.467) Epoch: [30][110/10010] Time 0.321 (0.349) Data 0.001 (0.024) Loss 2.2363 (2.4710) Prec@1 49.219 (46.277) Prec@5 75.781 (70.700) Epoch: [30][120/10010] Time 0.323 (0.347) Data 0.003 (0.022) Loss 2.1265 (2.4559) Prec@1 53.906 (46.572) Prec@5 72.656 (70.939) Epoch: [30][130/10010] Time 0.336 (0.346) Data 0.000 (0.021) Loss 2.2781 (2.4464) Prec@1 45.312 (46.696) Prec@5 69.531 (71.106) Epoch: [30][140/10010] Time 0.318 (0.345) Data 0.000 (0.019) Loss 2.2816 (2.4369) Prec@1 50.781 (46.875) Prec@5 77.344 (71.277) Epoch: [30][150/10010] Time 0.313 (0.344) Data 0.001 (0.018) Loss 2.0246 (2.4230) Prec@1 52.344 (47.139) Prec@5 79.688 (71.508) Epoch: [30][160/10010] Time 0.324 (0.343) Data 0.001 (0.017) Loss 2.3719 (2.4189) Prec@1 52.344 (47.224) Prec@5 69.531 (71.608) Epoch: [30][170/10010] Time 0.321 (0.342) Data 0.001 (0.016) Loss 2.1205 (2.4123) Prec@1 53.906 (47.378) Prec@5 78.125 (71.674) Epoch: [30][180/10010] Time 0.320 (0.341) Data 0.001 (0.015) Loss 2.3206 (2.4040) Prec@1 50.781 (47.514) Prec@5 71.094 (71.780) Epoch: [30][190/10010] Time 0.328 (0.341) Data 0.000 (0.014) Loss 2.9224 (2.4074) Prec@1 40.625 (47.493) Prec@5 61.719 (71.773) Epoch: [30][200/10010] Time 0.324 (0.340) Data 0.001 (0.014) Loss 2.6056 (2.3969) Prec@1 43.750 (47.629) Prec@5 65.625 (71.964) Epoch: [30][210/10010] Time 0.326 (0.340) Data 0.000 (0.013) Loss 2.1506 (2.3941) Prec@1 43.750 (47.667) Prec@5 75.000 (71.997) Epoch: [30][220/10010] Time 0.321 (0.339) Data 0.001 (0.012) Loss 2.2119 (2.3887) Prec@1 51.562 (47.720) Prec@5 73.438 (72.069) Epoch: [30][230/10010] Time 0.319 (0.339) Data 0.000 (0.012) Loss 2.3279 (2.3830) Prec@1 46.094 (47.781) Prec@5 72.656 (72.146) Epoch: [30][240/10010] Time 0.330 (0.338) Data 0.000 (0.011) Loss 2.6355 (2.3762) Prec@1 47.656 (47.916) Prec@5 71.094 (72.274) Epoch: [30][250/10010] Time 0.330 (0.338) Data 0.000 (0.011) Loss 2.1901 (2.3704) Prec@1 54.688 (48.027) Prec@5 71.094 (72.326) Epoch: [30][260/10010] Time 0.330 (0.337) Data 0.001 (0.011) Loss 2.3671 (2.3684) Prec@1 49.219 (48.063) Prec@5 72.656 (72.303) Epoch: [30][270/10010] Time 0.338 (0.337) Data 0.001 (0.010) Loss 2.3310 (2.3655) Prec@1 50.000 (48.112) Prec@5 71.094 (72.319) Epoch: [30][280/10010] Time 0.338 (0.337) Data 0.001 (0.010) Loss 2.3040 (2.3611) Prec@1 49.219 (48.126) Prec@5 75.000 (72.414) Epoch: [30][290/10010] Time 0.329 (0.337) Data 0.001 (0.010) Loss 2.4250 (2.3580) Prec@1 46.875 (48.182) Prec@5 72.656 (72.420) Epoch: [30][300/10010] Time 0.316 (0.337) Data 0.001 (0.009) Loss 2.3795 (2.3543) Prec@1 42.969 (48.206) Prec@5 73.438 (72.475) Epoch: [30][310/10010] Time 0.332 (0.337) Data 0.001 (0.009) Loss 2.2547 (2.3525) Prec@1 49.219 (48.234) Prec@5 68.750 (72.480) Epoch: [30][320/10010] Time 0.317 (0.336) Data 0.001 (0.009) Loss 2.1923 (2.3471) Prec@1 51.562 (48.350) Prec@5 78.125 (72.542) Epoch: [30][330/10010] Time 0.344 (0.336) Data 0.000 (0.008) Loss 2.3516 (2.3429) Prec@1 48.438 (48.430) Prec@5 75.000 (72.602) Epoch: [30][340/10010] Time 0.337 (0.336) Data 0.000 (0.008) Loss 2.3939 (2.3411) Prec@1 46.094 (48.479) Prec@5 71.094 (72.636) Epoch: [30][350/10010] Time 0.320 (0.336) Data 0.000 (0.008) Loss 2.0791 (2.3377) Prec@1 57.031 (48.506) Prec@5 77.344 (72.707) Epoch: [30][360/10010] Time 0.334 (0.336) Data 0.000 (0.008) Loss 2.2491 (2.3344) Prec@1 53.125 (48.600) Prec@5 78.125 (72.760) Epoch: [30][370/10010] Time 0.336 (0.336) Data 0.000 (0.008) Loss 2.3393 (2.3306) Prec@1 47.656 (48.720) Prec@5 75.000 (72.829) Epoch: [30][380/10010] Time 0.319 (0.335) Data 0.000 (0.007) Loss 2.2501 (2.3254) Prec@1 53.906 (48.823) Prec@5 71.094 (72.908) Epoch: [30][390/10010] Time 0.339 (0.335) Data 0.001 (0.007) Loss 2.3239 (2.3239) Prec@1 42.188 (48.861) Prec@5 72.656 (72.956) Epoch: [30][400/10010] Time 0.330 (0.335) Data 0.001 (0.007) Loss 2.0743 (2.3199) Prec@1 52.344 (48.936) Prec@5 75.781 (72.999) Epoch: [30][410/10010] Time 0.340 (0.335) Data 0.000 (0.007) Loss 2.4409 (2.3147) Prec@1 51.562 (49.038) Prec@5 72.656 (73.074) Epoch: [30][420/10010] Time 0.336 (0.335) Data 0.001 (0.007) Loss 1.8331 (2.3105) Prec@1 62.500 (49.119) Prec@5 83.594 (73.146) Epoch: [30][430/10010] Time 0.344 (0.335) Data 0.000 (0.007) Loss 2.0763 (2.3073) Prec@1 55.469 (49.192) Prec@5 80.469 (73.196) Epoch: [30][440/10010] Time 0.336 (0.335) Data 0.001 (0.006) Loss 2.0476 (2.3056) Prec@1 53.906 (49.251) Prec@5 76.562 (73.218) Epoch: [30][450/10010] Time 0.318 (0.335) Data 0.001 (0.006) Loss 2.3719 (2.3025) Prec@1 50.000 (49.292) Prec@5 71.094 (73.280) Epoch: [30][460/10010] Time 0.341 (0.335) Data 0.000 (0.006) Loss 2.0975 (2.3029) Prec@1 51.562 (49.271) Prec@5 76.562 (73.261) Epoch: [30][470/10010] Time 0.326 (0.335) Data 0.000 (0.006) Loss 2.2596 (2.3029) Prec@1 48.438 (49.283) Prec@5 74.219 (73.263) Epoch: [30][480/10010] Time 0.325 (0.335) Data 0.001 (0.006) Loss 2.3368 (2.3008) Prec@1 53.906 (49.341) Prec@5 71.875 (73.299) Epoch: [30][490/10010] Time 0.328 (0.335) Data 0.001 (0.006) Loss 2.1913 (2.2979) Prec@1 53.906 (49.400) Prec@5 73.438 (73.347) Epoch: [30][500/10010] Time 0.329 (0.335) Data 0.001 (0.006) Loss 2.2927 (2.2959) Prec@1 52.344 (49.476) Prec@5 72.656 (73.367) Epoch: [30][510/10010] Time 0.323 (0.335) Data 0.000 (0.006) Loss 2.1129 (2.2937) Prec@1 55.469 (49.532) Prec@5 75.781 (73.407) Epoch: [30][520/10010] Time 0.324 (0.335) Data 0.001 (0.006) Loss 2.3378 (2.2910) Prec@1 44.531 (49.610) Prec@5 75.000 (73.461) Epoch: [30][530/10010] Time 0.323 (0.334) Data 0.001 (0.005) Loss 2.0448 (2.2895) Prec@1 57.031 (49.634) Prec@5 75.000 (73.502) Epoch: [30][540/10010] Time 0.314 (0.334) Data 0.001 (0.005) Loss 2.2023 (2.2876) Prec@1 55.469 (49.700) Prec@5 75.000 (73.517) Epoch: [30][550/10010] Time 0.329 (0.334) Data 0.001 (0.005) Loss 2.4413 (2.2872) Prec@1 46.094 (49.715) Prec@5 72.656 (73.524) Epoch: [30][560/10010] Time 0.352 (0.334) Data 0.001 (0.005) Loss 2.1861 (2.2857) Prec@1 49.219 (49.749) Prec@5 71.875 (73.557) Epoch: [30][570/10010] Time 0.337 (0.334) Data 0.000 (0.005) Loss 1.9491 (2.2833) Prec@1 58.594 (49.781) Prec@5 78.125 (73.592) Epoch: [30][580/10010] Time 0.326 (0.334) Data 0.000 (0.005) Loss 2.4824 (2.2818) Prec@1 43.750 (49.797) Prec@5 70.312 (73.612) Epoch: [30][590/10010] Time 0.333 (0.334) Data 0.001 (0.005) Loss 2.0932 (2.2819) Prec@1 46.094 (49.773) Prec@5 79.688 (73.624) Epoch: [30][600/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 2.3824 (2.2787) Prec@1 50.781 (49.847) Prec@5 68.750 (73.683) Epoch: [30][610/10010] Time 0.319 (0.334) Data 0.000 (0.005) Loss 2.1912 (2.2766) Prec@1 46.094 (49.898) Prec@5 71.875 (73.719) Epoch: [30][620/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 2.2024 (2.2741) Prec@1 48.438 (49.948) Prec@5 75.000 (73.753) Epoch: [30][630/10010] Time 0.339 (0.334) Data 0.000 (0.005) Loss 2.0816 (2.2724) Prec@1 54.688 (49.983) Prec@5 76.562 (73.780) Epoch: [30][640/10010] Time 0.321 (0.334) Data 0.000 (0.005) Loss 2.4495 (2.2718) Prec@1 48.438 (50.018) Prec@5 67.969 (73.771) Epoch: [30][650/10010] Time 0.337 (0.334) Data 0.001 (0.005) Loss 2.0884 (2.2699) Prec@1 53.125 (50.055) Prec@5 75.000 (73.802) Epoch: [30][660/10010] Time 0.317 (0.334) Data 0.000 (0.005) Loss 2.2671 (2.2679) Prec@1 52.344 (50.089) Prec@5 73.438 (73.848) Epoch: [30][670/10010] Time 0.342 (0.333) Data 0.000 (0.004) Loss 1.9216 (2.2658) Prec@1 52.344 (50.144) Prec@5 79.688 (73.880) Epoch: [30][680/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 2.4333 (2.2654) Prec@1 46.094 (50.181) Prec@5 67.188 (73.867) Epoch: [30][690/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 2.5413 (2.2654) Prec@1 46.875 (50.190) Prec@5 69.531 (73.876) Epoch: [30][700/10010] Time 0.334 (0.333) Data 0.001 (0.004) Loss 2.1440 (2.2654) Prec@1 49.219 (50.193) Prec@5 79.688 (73.883) Epoch: [30][710/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 2.0842 (2.2642) Prec@1 51.562 (50.198) Prec@5 76.562 (73.894) Epoch: [30][720/10010] Time 0.320 (0.333) Data 0.001 (0.004) Loss 1.9669 (2.2610) Prec@1 53.906 (50.256) Prec@5 80.469 (73.953) Epoch: [30][730/10010] Time 0.336 (0.333) Data 0.001 (0.004) Loss 1.8278 (2.2582) Prec@1 54.688 (50.329) Prec@5 82.031 (73.999) Epoch: [30][740/10010] Time 0.326 (0.333) Data 0.000 (0.004) Loss 2.0282 (2.2564) Prec@1 54.688 (50.358) Prec@5 75.781 (74.015) Epoch: [30][750/10010] Time 0.321 (0.333) Data 0.001 (0.004) Loss 1.7848 (2.2547) Prec@1 60.156 (50.417) Prec@5 85.938 (74.050) Epoch: [30][760/10010] Time 0.341 (0.333) Data 0.001 (0.004) Loss 2.1513 (2.2532) Prec@1 48.438 (50.441) Prec@5 77.344 (74.085) Epoch: [30][770/10010] Time 0.324 (0.333) Data 0.000 (0.004) Loss 2.5293 (2.2523) Prec@1 41.406 (50.443) Prec@5 64.844 (74.095) Epoch: [30][780/10010] Time 0.314 (0.333) Data 0.001 (0.004) Loss 2.2059 (2.2519) Prec@1 50.000 (50.458) Prec@5 77.344 (74.105) Epoch: [30][790/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 1.9913 (2.2498) Prec@1 56.250 (50.490) Prec@5 77.344 (74.127) Epoch: [30][800/10010] Time 0.328 (0.333) Data 0.000 (0.004) Loss 2.3509 (2.2489) Prec@1 50.781 (50.520) Prec@5 67.188 (74.135) Epoch: [30][810/10010] Time 0.320 (0.333) Data 0.001 (0.004) Loss 2.2665 (2.2478) Prec@1 49.219 (50.549) Prec@5 74.219 (74.163) Epoch: [30][820/10010] Time 0.341 (0.333) Data 0.001 (0.004) Loss 2.1722 (2.2464) Prec@1 52.344 (50.569) Prec@5 80.469 (74.196) Epoch: [30][830/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 2.3410 (2.2458) Prec@1 48.438 (50.588) Prec@5 74.219 (74.213) Epoch: [30][840/10010] Time 0.332 (0.333) Data 0.000 (0.004) Loss 2.1271 (2.2442) Prec@1 50.000 (50.622) Prec@5 78.906 (74.226) Epoch: [30][850/10010] Time 0.333 (0.333) Data 0.003 (0.004) Loss 2.3338 (2.2418) Prec@1 52.344 (50.659) Prec@5 67.969 (74.260) Epoch: [30][860/10010] Time 0.318 (0.333) Data 0.000 (0.004) Loss 2.1700 (2.2405) Prec@1 55.469 (50.676) Prec@5 73.438 (74.283) Epoch: [30][870/10010] Time 0.326 (0.333) Data 0.000 (0.004) Loss 1.9197 (2.2388) Prec@1 52.344 (50.706) Prec@5 81.250 (74.313) Epoch: [30][880/10010] Time 0.328 (0.333) Data 0.001 (0.004) Loss 2.6495 (2.2384) Prec@1 46.094 (50.730) Prec@5 68.750 (74.314) Epoch: [30][890/10010] Time 0.332 (0.333) Data 0.000 (0.004) Loss 2.0566 (2.2373) Prec@1 53.125 (50.744) Prec@5 79.688 (74.321) Epoch: [30][900/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 1.9471 (2.2361) Prec@1 60.156 (50.792) Prec@5 78.906 (74.335) Epoch: [30][910/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 1.8493 (2.2358) Prec@1 58.594 (50.790) Prec@5 79.688 (74.337) Epoch: [30][920/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 2.4561 (2.2350) Prec@1 49.219 (50.817) Prec@5 71.094 (74.354) Epoch: [30][930/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.5561 (2.2343) Prec@1 48.438 (50.812) Prec@5 73.438 (74.365) Epoch: [30][940/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 1.9202 (2.2337) Prec@1 53.125 (50.819) Prec@5 78.906 (74.385) Epoch: [30][950/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 2.0615 (2.2332) Prec@1 50.000 (50.814) Prec@5 82.812 (74.397) Epoch: [30][960/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 2.2622 (2.2323) Prec@1 52.344 (50.840) Prec@5 70.312 (74.411) Epoch: [30][970/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.0561 (2.2308) Prec@1 54.688 (50.877) Prec@5 76.562 (74.422) Epoch: [30][980/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 2.4057 (2.2298) Prec@1 48.438 (50.915) Prec@5 70.312 (74.433) Epoch: [30][990/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 2.0942 (2.2283) Prec@1 53.125 (50.936) Prec@5 78.906 (74.471) Epoch: [30][1000/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 2.0004 (2.2269) Prec@1 51.562 (50.967) Prec@5 80.469 (74.495) Epoch: [30][1010/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 2.5728 (2.2268) Prec@1 41.406 (50.955) Prec@5 74.219 (74.500) Epoch: [30][1020/10010] Time 0.325 (0.332) Data 0.000 (0.003) Loss 2.4342 (2.2266) Prec@1 46.094 (50.963) Prec@5 73.438 (74.509) Epoch: [30][1030/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 2.0968 (2.2249) Prec@1 57.812 (50.997) Prec@5 78.125 (74.539) Epoch: [30][1040/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 1.9582 (2.2240) Prec@1 44.531 (51.003) Prec@5 80.469 (74.562) Epoch: [30][1050/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 2.2655 (2.2230) Prec@1 57.031 (51.029) Prec@5 72.656 (74.574) Epoch: [30][1060/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 2.1608 (2.2214) Prec@1 51.562 (51.068) Prec@5 73.438 (74.605) Epoch: [30][1070/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 2.2152 (2.2201) Prec@1 51.562 (51.085) Prec@5 77.344 (74.629) Epoch: [30][1080/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 1.8817 (2.2188) Prec@1 57.812 (51.109) Prec@5 77.344 (74.648) Epoch: [30][1090/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 2.0542 (2.2181) Prec@1 54.688 (51.125) Prec@5 78.906 (74.662) Epoch: [30][1100/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.9833 (2.2171) Prec@1 57.812 (51.149) Prec@5 78.906 (74.676) Epoch: [30][1110/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 1.8019 (2.2157) Prec@1 61.719 (51.176) Prec@5 80.469 (74.702) Epoch: [30][1120/10010] Time 0.344 (0.332) Data 0.000 (0.003) Loss 2.1120 (2.2139) Prec@1 57.031 (51.220) Prec@5 75.781 (74.730) Epoch: [30][1130/10010] Time 0.324 (0.332) Data 0.002 (0.003) Loss 1.9065 (2.2137) Prec@1 53.906 (51.232) Prec@5 75.000 (74.730) Epoch: [30][1140/10010] Time 0.325 (0.332) Data 0.000 (0.003) Loss 2.3997 (2.2128) Prec@1 47.656 (51.243) Prec@5 75.000 (74.736) Epoch: [30][1150/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.0318 (2.2112) Prec@1 57.812 (51.296) Prec@5 78.906 (74.756) Epoch: [30][1160/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.2442 (2.2101) Prec@1 48.438 (51.311) Prec@5 71.875 (74.779) Epoch: [30][1170/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 1.9740 (2.2086) Prec@1 57.031 (51.346) Prec@5 78.906 (74.810) Epoch: [30][1180/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 2.2664 (2.2076) Prec@1 49.219 (51.361) Prec@5 75.000 (74.823) Epoch: [30][1190/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 2.1327 (2.2076) Prec@1 57.031 (51.380) Prec@5 75.781 (74.818) Epoch: [30][1200/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.1154 (2.2078) Prec@1 51.562 (51.380) Prec@5 78.906 (74.818) Epoch: [30][1210/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 2.0040 (2.2076) Prec@1 53.906 (51.381) Prec@5 76.562 (74.814) Epoch: [30][1220/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 2.1416 (2.2067) Prec@1 53.125 (51.412) Prec@5 81.250 (74.817) Epoch: [30][1230/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 2.1641 (2.2061) Prec@1 53.125 (51.425) Prec@5 75.781 (74.829) Epoch: [30][1240/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.0990 (2.2052) Prec@1 57.031 (51.431) Prec@5 70.312 (74.839) Epoch: [30][1250/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 2.0147 (2.2044) Prec@1 55.469 (51.445) Prec@5 77.344 (74.863) Epoch: [30][1260/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 2.0346 (2.2030) Prec@1 54.688 (51.471) Prec@5 75.000 (74.884) Epoch: [30][1270/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.3053 (2.2028) Prec@1 50.000 (51.475) Prec@5 72.656 (74.886) Epoch: [30][1280/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 2.1943 (2.2011) Prec@1 48.438 (51.510) Prec@5 71.875 (74.909) Epoch: [30][1290/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 2.2620 (2.2002) Prec@1 52.344 (51.529) Prec@5 72.656 (74.927) Epoch: [30][1300/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 2.2633 (2.1994) Prec@1 53.906 (51.544) Prec@5 73.438 (74.933) Epoch: [30][1310/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 2.1133 (2.1988) Prec@1 53.906 (51.557) Prec@5 75.781 (74.937) Epoch: [30][1320/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 2.2901 (2.1985) Prec@1 49.219 (51.566) Prec@5 75.000 (74.954) Epoch: [30][1330/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 1.8632 (2.1977) Prec@1 62.500 (51.571) Prec@5 79.688 (74.969) Epoch: [30][1340/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 2.1044 (2.1974) Prec@1 57.812 (51.579) Prec@5 75.781 (74.977) Epoch: [30][1350/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.1974 (2.1965) Prec@1 49.219 (51.596) Prec@5 72.656 (74.996) Epoch: [30][1360/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.1450 (2.1962) Prec@1 50.000 (51.602) Prec@5 76.562 (75.002) Epoch: [30][1370/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.0748 (2.1963) Prec@1 53.125 (51.609) Prec@5 79.688 (75.006) Epoch: [30][1380/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 2.1888 (2.1953) Prec@1 47.656 (51.636) Prec@5 76.562 (75.018) Epoch: [30][1390/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7113 (2.1942) Prec@1 59.375 (51.657) Prec@5 80.469 (75.029) Epoch: [30][1400/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.3770 (2.1932) Prec@1 51.562 (51.685) Prec@5 72.656 (75.047) Epoch: [30][1410/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.3207 (2.1922) Prec@1 46.875 (51.707) Prec@5 71.875 (75.056) Epoch: [30][1420/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.9354 (2.1913) Prec@1 60.156 (51.718) Prec@5 78.906 (75.070) Epoch: [30][1430/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7601 (2.1902) Prec@1 57.031 (51.740) Prec@5 82.031 (75.092) Epoch: [30][1440/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.9267 (2.1894) Prec@1 53.125 (51.762) Prec@5 76.562 (75.108) Epoch: [30][1450/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.9427 (2.1885) Prec@1 57.031 (51.784) Prec@5 78.125 (75.120) Epoch: [30][1460/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.0369 (2.1873) Prec@1 53.125 (51.808) Prec@5 79.688 (75.143) Epoch: [30][1470/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.1788 (2.1865) Prec@1 57.031 (51.822) Prec@5 76.562 (75.161) Epoch: [30][1480/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.6813 (2.1859) Prec@1 41.406 (51.824) Prec@5 66.406 (75.169) Epoch: [30][1490/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.1314 (2.1851) Prec@1 51.562 (51.833) Prec@5 71.875 (75.176) Epoch: [30][1500/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 1.9399 (2.1839) Prec@1 54.688 (51.859) Prec@5 78.125 (75.188) Epoch: [30][1510/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.8577 (2.1835) Prec@1 58.594 (51.867) Prec@5 75.781 (75.191) Epoch: [30][1520/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.2115 (2.1823) Prec@1 53.125 (51.894) Prec@5 78.125 (75.199) Epoch: [30][1530/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.1790 (2.1809) Prec@1 54.688 (51.917) Prec@5 72.656 (75.217) Epoch: [30][1540/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.0224 (2.1798) Prec@1 52.344 (51.932) Prec@5 75.781 (75.233) Epoch: [30][1550/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.2837 (2.1794) Prec@1 50.000 (51.924) Prec@5 71.094 (75.238) Epoch: [30][1560/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.6488 (2.1791) Prec@1 66.406 (51.928) Prec@5 81.250 (75.232) Epoch: [30][1570/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.3306 (2.1781) Prec@1 48.438 (51.947) Prec@5 75.781 (75.253) Epoch: [30][1580/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.0340 (2.1771) Prec@1 47.656 (51.951) Prec@5 78.906 (75.270) Epoch: [30][1590/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.2906 (2.1766) Prec@1 50.781 (51.957) Prec@5 75.000 (75.280) Epoch: [30][1600/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 2.5148 (2.1765) Prec@1 50.000 (51.965) Prec@5 75.000 (75.286) Epoch: [30][1610/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.8230 (2.1753) Prec@1 57.031 (51.991) Prec@5 82.031 (75.306) Epoch: [30][1620/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.1958 (2.1749) Prec@1 50.000 (52.004) Prec@5 75.000 (75.319) Epoch: [30][1630/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.9117 (2.1744) Prec@1 56.250 (52.012) Prec@5 78.906 (75.321) Epoch: [30][1640/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.1309 (2.1741) Prec@1 56.250 (52.017) Prec@5 75.781 (75.325) Epoch: [30][1650/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.1476 (2.1738) Prec@1 52.344 (52.025) Prec@5 73.438 (75.328) Epoch: [30][1660/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9267 (2.1732) Prec@1 53.906 (52.036) Prec@5 78.906 (75.334) Epoch: [30][1670/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.4381 (2.1724) Prec@1 47.656 (52.048) Prec@5 68.750 (75.339) Epoch: [30][1680/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.9403 (2.1716) Prec@1 60.156 (52.070) Prec@5 78.906 (75.354) Epoch: [30][1690/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.2981 (2.1722) Prec@1 54.688 (52.069) Prec@5 75.781 (75.341) Epoch: [30][1700/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.3827 (2.1713) Prec@1 47.656 (52.087) Prec@5 71.875 (75.354) Epoch: [30][1710/10010] Time 0.317 (0.332) Data 0.003 (0.002) Loss 2.3828 (2.1710) Prec@1 57.031 (52.104) Prec@5 73.438 (75.360) Epoch: [30][1720/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.1428 (2.1706) Prec@1 47.656 (52.111) Prec@5 75.781 (75.364) Epoch: [30][1730/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.1398 (2.1703) Prec@1 51.562 (52.110) Prec@5 77.344 (75.373) /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: [30][1740/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.8054 (2.1691) Prec@1 57.031 (52.123) Prec@5 80.469 (75.390) Epoch: [30][1750/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.8672 (2.1688) Prec@1 61.719 (52.128) Prec@5 79.688 (75.394) Epoch: [30][1760/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.0286 (2.1688) Prec@1 51.562 (52.125) Prec@5 75.000 (75.396) Epoch: [30][1770/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.8721 (2.1681) Prec@1 57.031 (52.143) Prec@5 81.250 (75.407) Epoch: [30][1780/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.0322 (2.1675) Prec@1 52.344 (52.153) Prec@5 79.688 (75.420) Epoch: [30][1790/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.0951 (2.1672) Prec@1 53.125 (52.160) Prec@5 82.031 (75.431) Epoch: [30][1800/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.9053 (2.1668) Prec@1 58.594 (52.175) Prec@5 80.469 (75.438) Epoch: [30][1810/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9843 (2.1662) Prec@1 57.812 (52.181) Prec@5 76.562 (75.442) Epoch: [30][1820/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.1121 (2.1657) Prec@1 53.125 (52.187) Prec@5 76.562 (75.447) Epoch: [30][1830/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9704 (2.1654) Prec@1 57.031 (52.185) Prec@5 78.125 (75.451) Epoch: [30][1840/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.1589 (2.1653) Prec@1 56.250 (52.189) Prec@5 78.125 (75.453) Epoch: [30][1850/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.2313 (2.1655) Prec@1 49.219 (52.188) Prec@5 75.000 (75.450) /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: [30][1860/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.0439 (2.1650) Prec@1 55.469 (52.196) Prec@5 79.688 (75.461) Epoch: [30][1870/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.2284 (2.1646) Prec@1 50.781 (52.208) Prec@5 74.219 (75.461) Epoch: [30][1880/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.0677 (2.1640) Prec@1 57.812 (52.221) Prec@5 77.344 (75.470) Epoch: [30][1890/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.2031 (2.1636) Prec@1 50.781 (52.231) Prec@5 78.906 (75.481) Epoch: [30][1900/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.3948 (2.1635) Prec@1 46.094 (52.232) Prec@5 72.656 (75.482) Epoch: [30][1910/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.9707 (2.1628) Prec@1 57.031 (52.245) Prec@5 78.906 (75.491) Epoch: [30][1920/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.2162 (2.1621) Prec@1 50.781 (52.256) Prec@5 75.000 (75.506) Epoch: [30][1930/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.0476 (2.1619) Prec@1 55.469 (52.264) Prec@5 77.344 (75.501) Epoch: [30][1940/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.2858 (2.1617) Prec@1 43.750 (52.266) Prec@5 74.219 (75.506) Epoch: [30][1950/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.2213 (2.1612) Prec@1 55.469 (52.275) Prec@5 70.312 (75.517) Epoch: [30][1960/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.9521 (2.1605) Prec@1 60.156 (52.284) Prec@5 76.562 (75.533) Epoch: [30][1970/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9346 (2.1598) Prec@1 60.156 (52.296) Prec@5 83.594 (75.543) Epoch: [30][1980/10010] Time 0.351 (0.332) Data 0.000 (0.002) Loss 2.1842 (2.1597) Prec@1 51.562 (52.297) Prec@5 72.656 (75.545) Epoch: [30][1990/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.0293 (2.1595) Prec@1 58.594 (52.299) Prec@5 74.219 (75.543) Epoch: [30][2000/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.2378 (2.1589) Prec@1 51.562 (52.315) Prec@5 77.344 (75.554) Epoch: [30][2010/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.1226 (2.1580) Prec@1 57.031 (52.334) Prec@5 77.344 (75.574) Epoch: [30][2020/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.9383 (2.1585) Prec@1 50.781 (52.316) Prec@5 81.250 (75.574) Epoch: [30][2030/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.9784 (2.1585) Prec@1 53.125 (52.309) Prec@5 76.562 (75.570) Epoch: [30][2040/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.7404 (2.1584) Prec@1 64.844 (52.312) Prec@5 80.469 (75.573) Epoch: [30][2050/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.2454 (2.1577) Prec@1 51.562 (52.330) Prec@5 76.562 (75.586) Epoch: [30][2060/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 2.0917 (2.1575) Prec@1 50.781 (52.327) Prec@5 74.219 (75.589) Epoch: [30][2070/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.1661 (2.1571) Prec@1 57.812 (52.343) Prec@5 74.219 (75.591) Epoch: [30][2080/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.0841 (2.1569) Prec@1 54.688 (52.354) Prec@5 73.438 (75.592) Epoch: [30][2090/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.3631 (2.1568) Prec@1 53.906 (52.361) Prec@5 77.344 (75.596) Epoch: [30][2100/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.2385 (2.1563) Prec@1 47.656 (52.368) Prec@5 74.219 (75.606) Epoch: [30][2110/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.8563 (2.1561) Prec@1 57.812 (52.378) Prec@5 78.125 (75.604) Epoch: [30][2120/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.0794 (2.1555) Prec@1 54.688 (52.390) Prec@5 78.906 (75.616) Epoch: [30][2130/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.1203 (2.1551) Prec@1 56.250 (52.400) Prec@5 77.344 (75.627) Epoch: [30][2140/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.0970 (2.1548) Prec@1 57.031 (52.412) Prec@5 76.562 (75.631) Epoch: [30][2150/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.0334 (2.1548) Prec@1 54.688 (52.409) Prec@5 78.906 (75.629) Epoch: [30][2160/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.9479 (2.1538) Prec@1 54.688 (52.421) Prec@5 76.562 (75.641) Epoch: [30][2170/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.8572 (2.1537) Prec@1 56.250 (52.425) Prec@5 79.688 (75.646) Epoch: [30][2180/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.2986 (2.1535) Prec@1 47.656 (52.425) Prec@5 71.094 (75.646) Epoch: [30][2190/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.9078 (2.1531) Prec@1 58.594 (52.433) Prec@5 78.125 (75.648) Epoch: [30][2200/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.1488 (2.1529) Prec@1 54.688 (52.439) Prec@5 80.469 (75.652) Epoch: [30][2210/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.9821 (2.1523) Prec@1 61.719 (52.463) Prec@5 78.125 (75.663) Epoch: [30][2220/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.2588 (2.1518) Prec@1 50.000 (52.466) Prec@5 71.875 (75.667) Epoch: [30][2230/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.2160 (2.1513) Prec@1 51.562 (52.472) Prec@5 75.781 (75.678) Epoch: [30][2240/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.4415 (2.1509) Prec@1 49.219 (52.484) Prec@5 69.531 (75.683) Epoch: [30][2250/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.9912 (2.1507) Prec@1 52.344 (52.488) Prec@5 76.562 (75.687) Epoch: [30][2260/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.8290 (2.1503) Prec@1 59.375 (52.496) Prec@5 78.906 (75.685) Epoch: [30][2270/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.0705 (2.1495) Prec@1 52.344 (52.511) Prec@5 75.000 (75.695) Epoch: [30][2280/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.2133 (2.1486) Prec@1 53.125 (52.527) Prec@5 77.344 (75.710) Epoch: [30][2290/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.1840 (2.1481) Prec@1 50.000 (52.537) Prec@5 77.344 (75.721) Epoch: [30][2300/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9695 (2.1477) Prec@1 55.469 (52.541) Prec@5 75.781 (75.725) Epoch: [30][2310/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.8301 (2.1472) Prec@1 59.375 (52.547) Prec@5 76.562 (75.733) Epoch: [30][2320/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.7700 (2.1467) Prec@1 60.938 (52.560) Prec@5 81.250 (75.741) Epoch: [30][2330/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.0524 (2.1465) Prec@1 53.906 (52.570) Prec@5 72.656 (75.738) Epoch: [30][2340/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.4500 (2.1463) Prec@1 44.531 (52.572) Prec@5 72.656 (75.743) Epoch: [30][2350/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.6692 (2.1456) Prec@1 64.844 (52.587) Prec@5 82.031 (75.752) Epoch: [30][2360/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.1431 (2.1455) Prec@1 53.125 (52.586) Prec@5 79.688 (75.753) Epoch: [30][2370/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8660 (2.1453) Prec@1 53.125 (52.583) Prec@5 79.688 (75.756) Epoch: [30][2380/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.0483 (2.1451) Prec@1 57.812 (52.595) Prec@5 75.000 (75.763) Epoch: [30][2390/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.2823 (2.1449) Prec@1 47.656 (52.597) Prec@5 67.969 (75.760) Epoch: [30][2400/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.9179 (2.1446) Prec@1 56.250 (52.600) Prec@5 78.125 (75.766) Epoch: [30][2410/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7845 (2.1439) Prec@1 63.281 (52.618) Prec@5 82.031 (75.776) Epoch: [30][2420/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.8766 (2.1431) Prec@1 57.031 (52.635) Prec@5 80.469 (75.790) Epoch: [30][2430/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.0057 (2.1426) Prec@1 57.812 (52.643) Prec@5 75.781 (75.794) Epoch: [30][2440/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.0396 (2.1425) Prec@1 54.688 (52.642) Prec@5 78.125 (75.795) Epoch: [30][2450/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 1.9906 (2.1423) Prec@1 51.562 (52.644) Prec@5 79.688 (75.803) Epoch: [30][2460/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.1965 (2.1421) Prec@1 50.000 (52.650) Prec@5 74.219 (75.801) Epoch: [30][2470/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.8338 (2.1416) Prec@1 54.688 (52.659) Prec@5 82.031 (75.806) Epoch: [30][2480/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.7871 (2.1409) Prec@1 54.688 (52.669) Prec@5 80.469 (75.820) Epoch: [30][2490/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.0549 (2.1403) Prec@1 56.250 (52.684) Prec@5 73.438 (75.828) Epoch: [30][2500/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.3323 (2.1399) Prec@1 49.219 (52.687) Prec@5 72.656 (75.838) Epoch: [30][2510/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.0680 (2.1394) Prec@1 49.219 (52.694) Prec@5 77.344 (75.847) Epoch: [30][2520/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.0593 (2.1388) Prec@1 52.344 (52.703) Prec@5 77.344 (75.857) Epoch: [30][2530/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.8524 (2.1384) Prec@1 61.719 (52.711) Prec@5 77.344 (75.862) Epoch: [30][2540/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.9241 (2.1378) Prec@1 60.938 (52.717) Prec@5 81.250 (75.872) Epoch: [30][2550/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 2.4246 (2.1380) Prec@1 51.562 (52.716) Prec@5 75.781 (75.871) Epoch: [30][2560/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8954 (2.1376) Prec@1 62.500 (52.729) Prec@5 79.688 (75.875) Epoch: [30][2570/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.2244 (2.1375) Prec@1 52.344 (52.727) Prec@5 73.438 (75.877) Epoch: [30][2580/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.7936 (2.1369) Prec@1 56.250 (52.736) Prec@5 80.469 (75.880) Epoch: [30][2590/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.0282 (2.1365) Prec@1 54.688 (52.745) Prec@5 75.000 (75.885) Epoch: [30][2600/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.0930 (2.1365) Prec@1 53.906 (52.747) Prec@5 76.562 (75.887) Epoch: [30][2610/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.0847 (2.1360) Prec@1 54.688 (52.758) Prec@5 78.125 (75.900) Epoch: [30][2620/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.2623 (2.1360) Prec@1 49.219 (52.756) Prec@5 71.875 (75.899) Epoch: [30][2630/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.8388 (2.1357) Prec@1 55.469 (52.764) Prec@5 76.562 (75.904) Epoch: [30][2640/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.8923 (2.1351) Prec@1 60.156 (52.778) Prec@5 82.031 (75.915) Epoch: [30][2650/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.0176 (2.1350) Prec@1 53.906 (52.785) Prec@5 79.688 (75.915) Epoch: [30][2660/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.9382 (2.1350) Prec@1 56.250 (52.791) Prec@5 78.125 (75.915) Epoch: [30][2670/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8993 (2.1347) Prec@1 50.000 (52.797) Prec@5 81.250 (75.918) Epoch: [30][2680/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.2290 (2.1345) Prec@1 52.344 (52.796) Prec@5 73.438 (75.916) Epoch: [30][2690/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.0120 (2.1338) Prec@1 54.688 (52.813) Prec@5 75.781 (75.930) Epoch: [30][2700/10010] Time 0.313 (0.332) Data 0.000 (0.002) Loss 2.2623 (2.1334) Prec@1 48.438 (52.819) Prec@5 75.781 (75.936) Epoch: [30][2710/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.0098 (2.1334) Prec@1 52.344 (52.815) Prec@5 75.000 (75.934) Epoch: [30][2720/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.1689 (2.1332) Prec@1 53.125 (52.821) Prec@5 72.656 (75.934) Epoch: [30][2730/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.0799 (2.1328) Prec@1 49.219 (52.823) Prec@5 75.000 (75.942) Epoch: [30][2740/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 2.0152 (2.1327) Prec@1 53.125 (52.825) Prec@5 75.781 (75.941) Epoch: [30][2750/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.3811 (2.1323) Prec@1 52.344 (52.832) Prec@5 69.531 (75.945) Epoch: [30][2760/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8202 (2.1320) Prec@1 57.812 (52.836) Prec@5 82.031 (75.945) Epoch: [30][2770/10010] Time 0.315 (0.332) Data 0.000 (0.002) Loss 1.9824 (2.1319) Prec@1 51.562 (52.834) Prec@5 79.688 (75.946) Epoch: [30][2780/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0593 (2.1317) Prec@1 57.812 (52.835) Prec@5 81.250 (75.952) Epoch: [30][2790/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.1821 (2.1314) Prec@1 53.906 (52.837) Prec@5 75.000 (75.952) Epoch: [30][2800/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0373 (2.1311) Prec@1 55.469 (52.846) Prec@5 77.344 (75.953) Epoch: [30][2810/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.3998 (2.1309) Prec@1 52.344 (52.853) Prec@5 71.875 (75.952) Epoch: [30][2820/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0078 (2.1304) Prec@1 60.938 (52.860) Prec@5 78.906 (75.957) Epoch: [30][2830/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.1273 (2.1300) Prec@1 49.219 (52.866) Prec@5 80.469 (75.966) Epoch: [30][2840/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.2608 (2.1297) Prec@1 49.219 (52.879) Prec@5 74.219 (75.971) Epoch: [30][2850/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8116 (2.1292) Prec@1 59.375 (52.890) Prec@5 80.469 (75.977) Epoch: [30][2860/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8441 (2.1289) Prec@1 56.250 (52.895) Prec@5 82.031 (75.981) Epoch: [30][2870/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0883 (2.1288) Prec@1 51.562 (52.898) Prec@5 80.469 (75.985) Epoch: [30][2880/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.0723 (2.1284) Prec@1 53.906 (52.905) Prec@5 77.344 (75.992) Epoch: [30][2890/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9710 (2.1284) Prec@1 57.031 (52.910) Prec@5 76.562 (75.993) Epoch: [30][2900/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.2800 (2.1281) Prec@1 49.219 (52.906) Prec@5 72.656 (75.993) Epoch: [30][2910/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.1867 (2.1277) Prec@1 49.219 (52.916) Prec@5 71.875 (75.996) Epoch: [30][2920/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8417 (2.1273) Prec@1 56.250 (52.922) Prec@5 81.250 (76.008) Epoch: [30][2930/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.1281 (2.1271) Prec@1 48.438 (52.928) Prec@5 75.000 (76.012) Epoch: [30][2940/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9848 (2.1271) Prec@1 57.031 (52.926) Prec@5 76.562 (76.010) Epoch: [30][2950/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.3987 (2.1272) Prec@1 47.656 (52.929) Prec@5 73.438 (76.008) Epoch: [30][2960/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.1756 (2.1268) Prec@1 53.125 (52.935) Prec@5 78.125 (76.017) Epoch: [30][2970/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8276 (2.1264) Prec@1 56.250 (52.940) Prec@5 80.469 (76.024) Epoch: [30][2980/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7657 (2.1259) Prec@1 60.156 (52.948) Prec@5 78.906 (76.035) Epoch: [30][2990/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.0781 (2.1256) Prec@1 51.562 (52.955) Prec@5 77.344 (76.040) Epoch: [30][3000/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8517 (2.1253) Prec@1 56.250 (52.956) Prec@5 78.906 (76.043) Epoch: [30][3010/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.2625 (2.1250) Prec@1 57.812 (52.966) Prec@5 76.562 (76.050) Epoch: [30][3020/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8308 (2.1250) Prec@1 58.594 (52.959) Prec@5 79.688 (76.051) Epoch: [30][3030/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7528 (2.1245) Prec@1 62.500 (52.974) Prec@5 80.469 (76.058) Epoch: [30][3040/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9951 (2.1240) Prec@1 57.812 (52.986) Prec@5 77.344 (76.066) Epoch: [30][3050/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8252 (2.1237) Prec@1 55.469 (52.989) Prec@5 81.250 (76.074) Epoch: [30][3060/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7228 (2.1233) Prec@1 56.250 (52.994) Prec@5 84.375 (76.080) Epoch: [30][3070/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.4129 (2.1234) Prec@1 53.125 (52.996) Prec@5 72.656 (76.080) Epoch: [30][3080/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.2085 (2.1231) Prec@1 53.125 (53.005) Prec@5 70.312 (76.081) Epoch: [30][3090/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5979 (2.1225) Prec@1 59.375 (53.014) Prec@5 84.375 (76.090) Epoch: [30][3100/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7315 (2.1222) Prec@1 57.812 (53.027) Prec@5 81.250 (76.099) Epoch: [30][3110/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3621 (2.1223) Prec@1 49.219 (53.025) Prec@5 73.438 (76.099) Epoch: [30][3120/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9794 (2.1222) Prec@1 53.125 (53.029) Prec@5 81.250 (76.104) Epoch: [30][3130/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9642 (2.1219) Prec@1 54.688 (53.035) Prec@5 78.906 (76.112) Epoch: [30][3140/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1578 (2.1216) Prec@1 50.781 (53.042) Prec@5 75.781 (76.118) Epoch: [30][3150/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.1565 (2.1214) Prec@1 57.031 (53.044) Prec@5 74.219 (76.120) Epoch: [30][3160/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8097 (2.1211) Prec@1 60.938 (53.054) Prec@5 82.812 (76.126) Epoch: [30][3170/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1927 (2.1206) Prec@1 47.656 (53.064) Prec@5 71.875 (76.133) Epoch: [30][3180/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9064 (2.1202) Prec@1 57.031 (53.070) Prec@5 81.250 (76.142) Epoch: [30][3190/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0922 (2.1200) Prec@1 57.031 (53.078) Prec@5 77.344 (76.146) Epoch: [30][3200/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0448 (2.1196) Prec@1 50.000 (53.085) Prec@5 76.562 (76.151) Epoch: [30][3210/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0680 (2.1196) Prec@1 48.438 (53.085) Prec@5 76.562 (76.151) Epoch: [30][3220/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0404 (2.1191) Prec@1 53.125 (53.091) Prec@5 74.219 (76.156) Epoch: [30][3230/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.1300 (2.1186) Prec@1 53.125 (53.100) Prec@5 73.438 (76.162) Epoch: [30][3240/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9276 (2.1182) Prec@1 54.688 (53.109) Prec@5 78.906 (76.171) Epoch: [30][3250/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8475 (2.1176) Prec@1 53.125 (53.118) Prec@5 82.031 (76.183) Epoch: [30][3260/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.3786 (2.1176) Prec@1 54.688 (53.117) Prec@5 71.094 (76.181) Epoch: [30][3270/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.2761 (2.1173) Prec@1 56.250 (53.123) Prec@5 67.188 (76.182) Epoch: [30][3280/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0020 (2.1169) Prec@1 55.469 (53.131) Prec@5 79.688 (76.187) Epoch: [30][3290/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9902 (2.1170) Prec@1 56.250 (53.135) Prec@5 75.000 (76.185) Epoch: [30][3300/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1461 (2.1168) Prec@1 50.781 (53.141) Prec@5 73.438 (76.188) Epoch: [30][3310/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6919 (2.1167) Prec@1 63.281 (53.145) Prec@5 82.812 (76.191) Epoch: [30][3320/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.3475 (2.1166) Prec@1 48.438 (53.146) Prec@5 75.000 (76.193) Epoch: [30][3330/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1881 (2.1163) Prec@1 49.219 (53.155) Prec@5 72.656 (76.197) Epoch: [30][3340/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.1559 (2.1166) Prec@1 51.562 (53.151) Prec@5 78.125 (76.195) Epoch: [30][3350/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0676 (2.1165) Prec@1 50.781 (53.147) Prec@5 75.781 (76.194) Epoch: [30][3360/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9181 (2.1163) Prec@1 57.031 (53.149) Prec@5 78.906 (76.196) Epoch: [30][3370/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.1506 (2.1162) Prec@1 50.781 (53.147) Prec@5 75.000 (76.197) Epoch: [30][3380/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2114 (2.1162) Prec@1 48.438 (53.149) Prec@5 77.344 (76.199) Epoch: [30][3390/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9437 (2.1158) Prec@1 59.375 (53.159) Prec@5 81.250 (76.203) Epoch: [30][3400/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9409 (2.1154) Prec@1 56.250 (53.169) Prec@5 79.688 (76.214) Epoch: [30][3410/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.1191 (2.1149) Prec@1 54.688 (53.180) Prec@5 74.219 (76.224) Epoch: [30][3420/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9347 (2.1147) Prec@1 57.031 (53.186) Prec@5 79.688 (76.225) Epoch: [30][3430/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0571 (2.1147) Prec@1 55.469 (53.190) Prec@5 73.438 (76.224) Epoch: [30][3440/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.2051 (2.1145) Prec@1 45.312 (53.191) Prec@5 76.562 (76.225) Epoch: [30][3450/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1740 (2.1143) Prec@1 50.000 (53.193) Prec@5 73.438 (76.230) Epoch: [30][3460/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.1352 (2.1143) Prec@1 54.688 (53.194) Prec@5 75.781 (76.230) Epoch: [30][3470/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9224 (2.1142) Prec@1 52.344 (53.194) Prec@5 77.344 (76.231) /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: [30][3480/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1658 (2.1141) Prec@1 54.688 (53.193) Prec@5 69.531 (76.234) Epoch: [30][3490/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3471 (2.1139) Prec@1 48.438 (53.199) Prec@5 71.875 (76.239) Epoch: [30][3500/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2887 (2.1138) Prec@1 50.781 (53.204) Prec@5 71.875 (76.238) Epoch: [30][3510/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1886 (2.1135) Prec@1 56.250 (53.211) Prec@5 75.781 (76.242) Epoch: [30][3520/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3962 (2.1134) Prec@1 46.094 (53.216) Prec@5 68.750 (76.242) Epoch: [30][3530/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1694 (2.1131) Prec@1 50.781 (53.224) Prec@5 76.562 (76.251) Epoch: [30][3540/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0825 (2.1129) Prec@1 54.688 (53.231) Prec@5 78.906 (76.255) /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: [30][3550/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0338 (2.1124) Prec@1 56.250 (53.239) Prec@5 78.906 (76.263) Epoch: [30][3560/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0161 (2.1123) Prec@1 51.562 (53.239) Prec@5 78.125 (76.264) Epoch: [30][3570/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1285 (2.1121) Prec@1 57.031 (53.242) Prec@5 78.125 (76.264) Epoch: [30][3580/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8564 (2.1117) Prec@1 55.469 (53.245) Prec@5 78.125 (76.267) Epoch: [30][3590/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1538 (2.1116) Prec@1 57.031 (53.253) Prec@5 76.562 (76.270) Epoch: [30][3600/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1881 (2.1116) Prec@1 48.438 (53.254) Prec@5 75.781 (76.272) Epoch: [30][3610/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.1729 (2.1114) Prec@1 53.125 (53.256) Prec@5 74.219 (76.272) Epoch: [30][3620/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9957 (2.1114) Prec@1 58.594 (53.266) Prec@5 77.344 (76.271) Epoch: [30][3630/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9858 (2.1111) Prec@1 57.812 (53.273) Prec@5 75.781 (76.274) Epoch: [30][3640/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0187 (2.1112) Prec@1 53.125 (53.270) Prec@5 79.688 (76.273) Epoch: [30][3650/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8562 (2.1110) Prec@1 54.688 (53.273) Prec@5 81.250 (76.273) Epoch: [30][3660/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.4275 (2.1108) Prec@1 46.875 (53.281) Prec@5 67.969 (76.273) Epoch: [30][3670/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.3111 (2.1107) Prec@1 54.688 (53.281) Prec@5 72.656 (76.275) Epoch: [30][3680/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9337 (2.1104) Prec@1 57.812 (53.291) Prec@5 78.906 (76.278) Epoch: [30][3690/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0016 (2.1103) Prec@1 53.125 (53.292) Prec@5 81.250 (76.279) Epoch: [30][3700/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8313 (2.1100) Prec@1 60.156 (53.298) Prec@5 78.125 (76.284) Epoch: [30][3710/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1396 (2.1099) Prec@1 55.469 (53.303) Prec@5 73.438 (76.286) Epoch: [30][3720/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6037 (2.1096) Prec@1 64.062 (53.312) Prec@5 85.938 (76.292) Epoch: [30][3730/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1365 (2.1095) Prec@1 59.375 (53.317) Prec@5 74.219 (76.292) Epoch: [30][3740/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9876 (2.1092) Prec@1 55.469 (53.324) Prec@5 78.906 (76.296) Epoch: [30][3750/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1660 (2.1091) Prec@1 55.469 (53.327) Prec@5 75.781 (76.299) Epoch: [30][3760/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0841 (2.1090) Prec@1 49.219 (53.327) Prec@5 74.219 (76.302) Epoch: [30][3770/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4932 (2.1088) Prec@1 48.438 (53.328) Prec@5 71.094 (76.304) Epoch: [30][3780/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4140 (2.1084) Prec@1 50.781 (53.338) Prec@5 71.094 (76.311) Epoch: [30][3790/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8108 (2.1080) Prec@1 64.062 (53.345) Prec@5 81.250 (76.319) Epoch: [30][3800/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.8177 (2.1076) Prec@1 58.594 (53.349) Prec@5 82.031 (76.326) Epoch: [30][3810/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.2459 (2.1074) Prec@1 46.875 (53.348) Prec@5 75.000 (76.333) Epoch: [30][3820/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9975 (2.1070) Prec@1 51.562 (53.356) Prec@5 78.906 (76.338) Epoch: [30][3830/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8976 (2.1068) Prec@1 55.469 (53.360) Prec@5 78.125 (76.337) Epoch: [30][3840/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8967 (2.1066) Prec@1 51.562 (53.362) Prec@5 80.469 (76.342) Epoch: [30][3850/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9825 (2.1063) Prec@1 57.812 (53.368) Prec@5 77.344 (76.345) Epoch: [30][3860/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9967 (2.1059) Prec@1 53.906 (53.373) Prec@5 78.906 (76.353) Epoch: [30][3870/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6614 (2.1059) Prec@1 61.719 (53.377) Prec@5 84.375 (76.354) Epoch: [30][3880/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8982 (2.1059) Prec@1 60.938 (53.375) Prec@5 78.906 (76.353) Epoch: [30][3890/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.1075 (2.1057) Prec@1 48.438 (53.380) Prec@5 74.219 (76.354) Epoch: [30][3900/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0747 (2.1055) Prec@1 55.469 (53.388) Prec@5 73.438 (76.355) Epoch: [30][3910/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7516 (2.1053) Prec@1 62.500 (53.392) Prec@5 81.250 (76.359) Epoch: [30][3920/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2593 (2.1050) Prec@1 56.250 (53.395) Prec@5 71.875 (76.360) Epoch: [30][3930/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8642 (2.1047) Prec@1 58.594 (53.400) Prec@5 78.125 (76.364) Epoch: [30][3940/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9994 (2.1044) Prec@1 54.688 (53.406) Prec@5 80.469 (76.370) Epoch: [30][3950/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2182 (2.1046) Prec@1 50.000 (53.401) Prec@5 71.094 (76.363) Epoch: [30][3960/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.4446 (2.1046) Prec@1 47.656 (53.400) Prec@5 71.875 (76.364) Epoch: [30][3970/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6045 (2.1041) Prec@1 61.719 (53.405) Prec@5 85.938 (76.375) Epoch: [30][3980/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1898 (2.1037) Prec@1 49.219 (53.414) Prec@5 71.875 (76.379) Epoch: [30][3990/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9895 (2.1033) Prec@1 55.469 (53.424) Prec@5 77.344 (76.386) Epoch: [30][4000/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0335 (2.1029) Prec@1 55.469 (53.433) Prec@5 79.688 (76.390) Epoch: [30][4010/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.1013 (2.1028) Prec@1 56.250 (53.434) Prec@5 78.125 (76.395) Epoch: [30][4020/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1303 (2.1026) Prec@1 49.219 (53.435) Prec@5 76.562 (76.399) Epoch: [30][4030/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0755 (2.1027) Prec@1 52.344 (53.432) Prec@5 78.125 (76.397) Epoch: [30][4040/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.1098 (2.1026) Prec@1 53.906 (53.432) Prec@5 71.875 (76.394) Epoch: [30][4050/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7638 (2.1022) Prec@1 58.594 (53.437) Prec@5 84.375 (76.399) Epoch: [30][4060/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8751 (2.1019) Prec@1 58.594 (53.441) Prec@5 82.812 (76.403) Epoch: [30][4070/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7603 (2.1017) Prec@1 57.031 (53.444) Prec@5 84.375 (76.406) Epoch: [30][4080/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1467 (2.1016) Prec@1 52.344 (53.445) Prec@5 72.656 (76.405) Epoch: [30][4090/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9227 (2.1014) Prec@1 53.906 (53.445) Prec@5 77.344 (76.408) Epoch: [30][4100/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8644 (2.1008) Prec@1 58.594 (53.455) Prec@5 83.594 (76.421) Epoch: [30][4110/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2632 (2.1009) Prec@1 53.906 (53.454) Prec@5 72.656 (76.418) Epoch: [30][4120/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6579 (2.1006) Prec@1 58.594 (53.460) Prec@5 82.812 (76.422) Epoch: [30][4130/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0216 (2.1002) Prec@1 55.469 (53.466) Prec@5 78.906 (76.425) Epoch: [30][4140/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0703 (2.0998) Prec@1 53.906 (53.474) Prec@5 75.000 (76.430) Epoch: [30][4150/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0384 (2.0997) Prec@1 52.344 (53.474) Prec@5 77.344 (76.432) Epoch: [30][4160/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6462 (2.0994) Prec@1 60.156 (53.481) Prec@5 88.281 (76.437) Epoch: [30][4170/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0410 (2.0992) Prec@1 60.156 (53.481) Prec@5 77.344 (76.442) Epoch: [30][4180/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7979 (2.0987) Prec@1 60.156 (53.486) Prec@5 80.469 (76.447) Epoch: [30][4190/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.2391 (2.0984) Prec@1 50.781 (53.487) Prec@5 76.562 (76.454) Epoch: [30][4200/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.0074 (2.0981) Prec@1 50.000 (53.489) Prec@5 78.125 (76.462) Epoch: [30][4210/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9221 (2.0979) Prec@1 57.812 (53.495) Prec@5 75.781 (76.466) Epoch: [30][4220/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8777 (2.0977) Prec@1 53.906 (53.492) Prec@5 77.344 (76.468) Epoch: [30][4230/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0862 (2.0976) Prec@1 51.562 (53.491) Prec@5 75.781 (76.470) Epoch: [30][4240/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8439 (2.0974) Prec@1 57.031 (53.494) Prec@5 79.688 (76.472) Epoch: [30][4250/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8678 (2.0972) Prec@1 61.719 (53.500) Prec@5 79.688 (76.477) Epoch: [30][4260/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0745 (2.0970) Prec@1 56.250 (53.507) Prec@5 77.344 (76.479) Epoch: [30][4270/10010] Time 0.352 (0.331) Data 0.001 (0.001) Loss 1.7568 (2.0967) Prec@1 57.812 (53.507) Prec@5 82.031 (76.485) Epoch: [30][4280/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6078 (2.0964) Prec@1 66.406 (53.511) Prec@5 85.156 (76.487) Epoch: [30][4290/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9797 (2.0961) Prec@1 49.219 (53.519) Prec@5 79.688 (76.493) Epoch: [30][4300/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.4062 (2.0964) Prec@1 48.438 (53.513) Prec@5 67.188 (76.484) Epoch: [30][4310/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1202 (2.0962) Prec@1 50.781 (53.517) Prec@5 75.781 (76.487) Epoch: [30][4320/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0856 (2.0960) Prec@1 55.469 (53.522) Prec@5 80.469 (76.490) Epoch: [30][4330/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7462 (2.0956) Prec@1 61.719 (53.530) Prec@5 81.250 (76.494) Epoch: [30][4340/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.0728 (2.0952) Prec@1 56.250 (53.539) Prec@5 75.781 (76.499) Epoch: [30][4350/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.1078 (2.0950) Prec@1 52.344 (53.542) Prec@5 76.562 (76.504) Epoch: [30][4360/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9724 (2.0948) Prec@1 57.031 (53.544) Prec@5 76.562 (76.506) Epoch: [30][4370/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.2452 (2.0944) Prec@1 49.219 (53.554) Prec@5 71.875 (76.514) Epoch: [30][4380/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.5282 (2.0941) Prec@1 64.062 (53.561) Prec@5 82.031 (76.518) Epoch: [30][4390/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1243 (2.0940) Prec@1 52.344 (53.561) Prec@5 76.562 (76.520) Epoch: [30][4400/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1499 (2.0940) Prec@1 53.125 (53.562) Prec@5 78.125 (76.520) Epoch: [30][4410/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9767 (2.0938) Prec@1 52.344 (53.566) Prec@5 75.000 (76.521) Epoch: [30][4420/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9582 (2.0936) Prec@1 56.250 (53.571) Prec@5 82.031 (76.526) Epoch: [30][4430/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9494 (2.0936) Prec@1 53.125 (53.571) Prec@5 77.344 (76.524) Epoch: [30][4440/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8494 (2.0933) Prec@1 60.156 (53.575) Prec@5 82.812 (76.529) Epoch: [30][4450/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3651 (2.0930) Prec@1 49.219 (53.581) Prec@5 75.000 (76.536) Epoch: [30][4460/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6569 (2.0928) Prec@1 63.281 (53.583) Prec@5 81.250 (76.539) Epoch: [30][4470/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9024 (2.0926) Prec@1 53.906 (53.586) Prec@5 80.469 (76.542) Epoch: [30][4480/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7746 (2.0924) Prec@1 60.938 (53.590) Prec@5 81.250 (76.546) Epoch: [30][4490/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.2283 (2.0922) Prec@1 53.906 (53.596) Prec@5 75.781 (76.548) Epoch: [30][4500/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7371 (2.0918) Prec@1 59.375 (53.605) Prec@5 82.812 (76.556) Epoch: [30][4510/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9556 (2.0916) Prec@1 55.469 (53.609) Prec@5 80.469 (76.560) Epoch: [30][4520/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.2406 (2.0913) Prec@1 48.438 (53.615) Prec@5 74.219 (76.565) Epoch: [30][4530/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8755 (2.0910) Prec@1 53.906 (53.619) Prec@5 78.906 (76.569) Epoch: [30][4540/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8129 (2.0909) Prec@1 61.719 (53.621) Prec@5 81.250 (76.569) Epoch: [30][4550/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1181 (2.0907) Prec@1 48.438 (53.624) Prec@5 75.781 (76.573) Epoch: [30][4560/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8379 (2.0901) Prec@1 57.812 (53.635) Prec@5 80.469 (76.583) Epoch: [30][4570/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.2326 (2.0899) Prec@1 47.656 (53.639) Prec@5 73.438 (76.584) Epoch: [30][4580/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.2004 (2.0899) Prec@1 47.656 (53.641) Prec@5 74.219 (76.581) Epoch: [30][4590/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9515 (2.0898) Prec@1 55.469 (53.642) Prec@5 77.344 (76.581) Epoch: [30][4600/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.8435 (2.0895) Prec@1 53.906 (53.648) Prec@5 79.688 (76.587) Epoch: [30][4610/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.2511 (2.0893) Prec@1 49.219 (53.653) Prec@5 72.656 (76.591) Epoch: [30][4620/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1400 (2.0891) Prec@1 57.031 (53.659) Prec@5 74.219 (76.594) Epoch: [30][4630/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.3400 (2.0890) Prec@1 51.562 (53.660) Prec@5 75.000 (76.596) Epoch: [30][4640/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0540 (2.0887) Prec@1 55.469 (53.666) Prec@5 77.344 (76.601) Epoch: [30][4650/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7226 (2.0884) Prec@1 53.906 (53.673) Prec@5 82.031 (76.605) Epoch: [30][4660/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0124 (2.0881) Prec@1 50.000 (53.677) Prec@5 78.906 (76.611) Epoch: [30][4670/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.1172 (2.0881) Prec@1 53.906 (53.676) Prec@5 75.781 (76.611) Epoch: [30][4680/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0287 (2.0881) Prec@1 53.125 (53.678) Prec@5 78.125 (76.609) Epoch: [30][4690/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7454 (2.0879) Prec@1 63.281 (53.683) Prec@5 80.469 (76.609) Epoch: [30][4700/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.1308 (2.0877) Prec@1 53.906 (53.685) Prec@5 75.000 (76.609) Epoch: [30][4710/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1656 (2.0877) Prec@1 46.094 (53.684) Prec@5 76.562 (76.609) Epoch: [30][4720/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9202 (2.0876) Prec@1 61.719 (53.687) Prec@5 76.562 (76.608) Epoch: [30][4730/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9253 (2.0873) Prec@1 57.812 (53.689) Prec@5 73.438 (76.611) Epoch: [30][4740/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3458 (2.0871) Prec@1 50.781 (53.695) Prec@5 67.969 (76.612) Epoch: [30][4750/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8340 (2.0869) Prec@1 54.688 (53.700) Prec@5 82.812 (76.614) Epoch: [30][4760/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.8020 (2.0866) Prec@1 59.375 (53.708) Prec@5 81.250 (76.618) Epoch: [30][4770/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.0528 (2.0862) Prec@1 53.906 (53.713) Prec@5 77.344 (76.624) Epoch: [30][4780/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2957 (2.0860) Prec@1 50.781 (53.720) Prec@5 71.875 (76.625) Epoch: [30][4790/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1016 (2.0859) Prec@1 53.125 (53.722) Prec@5 73.438 (76.625) Epoch: [30][4800/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9731 (2.0857) Prec@1 57.812 (53.727) Prec@5 76.562 (76.628) Epoch: [30][4810/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0993 (2.0858) Prec@1 54.688 (53.728) Prec@5 75.781 (76.627) Epoch: [30][4820/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8115 (2.0858) Prec@1 56.250 (53.730) Prec@5 84.375 (76.627) Epoch: [30][4830/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8538 (2.0854) Prec@1 50.781 (53.736) Prec@5 85.938 (76.634) Epoch: [30][4840/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7306 (2.0853) Prec@1 60.938 (53.738) Prec@5 82.031 (76.637) Epoch: [30][4850/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8473 (2.0851) Prec@1 61.719 (53.744) Prec@5 77.344 (76.642) Epoch: [30][4860/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9561 (2.0848) Prec@1 53.906 (53.752) Prec@5 75.781 (76.649) Epoch: [30][4870/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4767 (2.0845) Prec@1 61.719 (53.758) Prec@5 82.812 (76.652) Epoch: [30][4880/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1177 (2.0846) Prec@1 54.688 (53.755) Prec@5 78.125 (76.652) Epoch: [30][4890/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9927 (2.0844) Prec@1 55.469 (53.761) Prec@5 78.125 (76.655) Epoch: [30][4900/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1548 (2.0842) Prec@1 60.156 (53.766) Prec@5 75.781 (76.657) Epoch: [30][4910/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.2681 (2.0841) Prec@1 56.250 (53.767) Prec@5 73.438 (76.663) Epoch: [30][4920/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9487 (2.0839) Prec@1 48.438 (53.768) Prec@5 81.250 (76.667) Epoch: [30][4930/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8350 (2.0837) Prec@1 60.938 (53.771) Prec@5 82.812 (76.671) Epoch: [30][4940/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9209 (2.0837) Prec@1 56.250 (53.776) Prec@5 81.250 (76.670) Epoch: [30][4950/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.4667 (2.0833) Prec@1 67.188 (53.784) Prec@5 86.719 (76.678) Epoch: [30][4960/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8780 (2.0832) Prec@1 56.250 (53.785) Prec@5 82.812 (76.680) Epoch: [30][4970/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.9380 (2.0830) Prec@1 54.688 (53.787) Prec@5 78.906 (76.681) Epoch: [30][4980/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0339 (2.0829) Prec@1 56.250 (53.787) Prec@5 75.781 (76.685) Epoch: [30][4990/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0701 (2.0829) Prec@1 54.688 (53.788) Prec@5 76.562 (76.684) Epoch: [30][5000/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2240 (2.0830) Prec@1 49.219 (53.791) Prec@5 73.438 (76.683) Epoch: [30][5010/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6532 (2.0828) Prec@1 60.156 (53.793) Prec@5 84.375 (76.686) Epoch: [30][5020/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0651 (2.0826) Prec@1 53.906 (53.798) Prec@5 76.562 (76.689) Epoch: [30][5030/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.1235 (2.0823) Prec@1 58.594 (53.801) Prec@5 75.000 (76.692) Epoch: [30][5040/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9394 (2.0821) Prec@1 56.250 (53.805) Prec@5 76.562 (76.693) Epoch: [30][5050/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.1173 (2.0819) Prec@1 57.812 (53.811) Prec@5 75.781 (76.698) Epoch: [30][5060/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7177 (2.0818) Prec@1 57.812 (53.812) Prec@5 86.719 (76.702) Epoch: [30][5070/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9411 (2.0816) Prec@1 56.250 (53.813) Prec@5 78.906 (76.705) Epoch: [30][5080/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9839 (2.0814) Prec@1 52.344 (53.818) Prec@5 80.469 (76.710) Epoch: [30][5090/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9651 (2.0811) Prec@1 57.031 (53.823) Prec@5 79.688 (76.716) Epoch: [30][5100/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9275 (2.0810) Prec@1 60.156 (53.825) Prec@5 80.469 (76.714) Epoch: [30][5110/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7349 (2.0808) Prec@1 61.719 (53.830) Prec@5 82.812 (76.717) Epoch: [30][5120/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.1657 (2.0806) Prec@1 54.688 (53.839) Prec@5 75.000 (76.721) Epoch: [30][5130/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6757 (2.0805) Prec@1 59.375 (53.840) Prec@5 78.906 (76.722) Epoch: [30][5140/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 1.6768 (2.0802) Prec@1 62.500 (53.845) Prec@5 81.250 (76.726) Epoch: [30][5150/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1046 (2.0799) Prec@1 53.906 (53.849) Prec@5 75.000 (76.730) Epoch: [30][5160/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7879 (2.0798) Prec@1 61.719 (53.851) Prec@5 80.469 (76.734) Epoch: [30][5170/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7849 (2.0797) Prec@1 53.906 (53.852) Prec@5 82.031 (76.736) Epoch: [30][5180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8214 (2.0796) Prec@1 60.156 (53.855) Prec@5 81.250 (76.739) Epoch: [30][5190/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0143 (2.0792) Prec@1 60.156 (53.866) Prec@5 78.125 (76.745) Epoch: [30][5200/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0394 (2.0791) Prec@1 52.344 (53.870) Prec@5 81.250 (76.747) Epoch: [30][5210/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.0243 (2.0790) Prec@1 51.562 (53.875) Prec@5 78.906 (76.751) Epoch: [30][5220/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9132 (2.0788) Prec@1 53.125 (53.877) Prec@5 80.469 (76.753) Epoch: [30][5230/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.1109 (2.0786) Prec@1 56.250 (53.881) Prec@5 74.219 (76.758) Epoch: [30][5240/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9907 (2.0782) Prec@1 55.469 (53.884) Prec@5 77.344 (76.763) Epoch: [30][5250/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8557 (2.0779) Prec@1 54.688 (53.889) Prec@5 82.031 (76.769) Epoch: [30][5260/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9663 (2.0779) Prec@1 53.125 (53.891) Prec@5 80.469 (76.768) Epoch: [30][5270/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.0079 (2.0777) Prec@1 55.469 (53.895) Prec@5 81.250 (76.771) Epoch: [30][5280/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9791 (2.0776) Prec@1 56.250 (53.895) Prec@5 73.438 (76.774) Epoch: [30][5290/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3223 (2.0775) Prec@1 50.000 (53.894) Prec@5 74.219 (76.776) Epoch: [30][5300/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.2949 (2.0775) Prec@1 46.094 (53.894) Prec@5 74.219 (76.775) Epoch: [30][5310/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.5727 (2.0772) Prec@1 64.844 (53.901) Prec@5 83.594 (76.780) Epoch: [30][5320/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8344 (2.0769) Prec@1 57.031 (53.905) Prec@5 80.469 (76.783) Epoch: [30][5330/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 1.7617 (2.0768) Prec@1 59.375 (53.907) Prec@5 80.469 (76.784) Epoch: [30][5340/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.6196 (2.0765) Prec@1 64.062 (53.913) Prec@5 85.156 (76.790) Epoch: [30][5350/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0621 (2.0765) Prec@1 56.250 (53.913) Prec@5 77.344 (76.790) Epoch: [30][5360/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6841 (2.0762) Prec@1 63.281 (53.919) Prec@5 85.938 (76.797) Epoch: [30][5370/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7715 (2.0760) Prec@1 56.250 (53.921) Prec@5 81.250 (76.800) Epoch: [30][5380/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6080 (2.0758) Prec@1 62.500 (53.925) Prec@5 84.375 (76.802) Epoch: [30][5390/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8488 (2.0756) Prec@1 60.938 (53.929) Prec@5 78.125 (76.804) Epoch: [30][5400/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.1141 (2.0753) Prec@1 51.562 (53.933) Prec@5 74.219 (76.807) Epoch: [30][5410/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6023 (2.0752) Prec@1 63.281 (53.938) Prec@5 82.031 (76.810) Epoch: [30][5420/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9341 (2.0749) Prec@1 53.906 (53.944) Prec@5 82.031 (76.816) Epoch: [30][5430/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.1161 (2.0749) Prec@1 53.125 (53.943) Prec@5 77.344 (76.814) Epoch: [30][5440/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.2310 (2.0748) Prec@1 50.781 (53.948) Prec@5 75.781 (76.816) Epoch: [30][5450/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.2450 (2.0747) Prec@1 50.781 (53.946) Prec@5 76.562 (76.815) Epoch: [30][5460/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6358 (2.0745) Prec@1 58.594 (53.947) Prec@5 82.031 (76.818) Epoch: [30][5470/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.2646 (2.0747) Prec@1 57.031 (53.947) Prec@5 76.562 (76.818) Epoch: [30][5480/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7516 (2.0745) Prec@1 57.812 (53.948) Prec@5 82.031 (76.821) Epoch: [30][5490/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1166 (2.0742) Prec@1 50.781 (53.952) Prec@5 76.562 (76.820) Epoch: [30][5500/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1695 (2.0742) Prec@1 49.219 (53.953) Prec@5 71.875 (76.822) Epoch: [30][5510/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9557 (2.0739) Prec@1 56.250 (53.957) Prec@5 79.688 (76.828) Epoch: [30][5520/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9783 (2.0738) Prec@1 60.156 (53.959) Prec@5 80.469 (76.829) Epoch: [30][5530/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1189 (2.0736) Prec@1 51.562 (53.964) Prec@5 76.562 (76.831) Epoch: [30][5540/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0204 (2.0735) Prec@1 55.469 (53.964) Prec@5 78.906 (76.832) Epoch: [30][5550/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7917 (2.0732) Prec@1 60.938 (53.971) Prec@5 83.594 (76.838) Epoch: [30][5560/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7381 (2.0729) Prec@1 56.250 (53.976) Prec@5 82.812 (76.846) Epoch: [30][5570/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9306 (2.0728) Prec@1 55.469 (53.977) Prec@5 78.125 (76.846) Epoch: [30][5580/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7209 (2.0728) Prec@1 58.594 (53.977) Prec@5 85.938 (76.849) Epoch: [30][5590/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6582 (2.0728) Prec@1 65.625 (53.980) Prec@5 85.156 (76.851) Epoch: [30][5600/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.3981 (2.0726) Prec@1 42.969 (53.982) Prec@5 67.969 (76.851) Epoch: [30][5610/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9667 (2.0724) Prec@1 55.469 (53.986) Prec@5 79.688 (76.855) Epoch: [30][5620/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.2738 (2.0722) Prec@1 50.781 (53.988) Prec@5 75.781 (76.859) Epoch: [30][5630/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6642 (2.0720) Prec@1 64.844 (53.993) Prec@5 82.031 (76.859) Epoch: [30][5640/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2474 (2.0720) Prec@1 53.125 (53.992) Prec@5 71.094 (76.859) Epoch: [30][5650/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0655 (2.0719) Prec@1 49.219 (53.995) Prec@5 75.781 (76.863) Epoch: [30][5660/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7091 (2.0716) Prec@1 58.594 (53.999) Prec@5 82.031 (76.866) Epoch: [30][5670/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9943 (2.0713) Prec@1 52.344 (54.005) Prec@5 78.906 (76.872) Epoch: [30][5680/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9997 (2.0713) Prec@1 57.812 (54.008) Prec@5 77.344 (76.872) Epoch: [30][5690/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8870 (2.0710) Prec@1 59.375 (54.013) Prec@5 79.688 (76.875) Epoch: [30][5700/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8900 (2.0708) Prec@1 55.469 (54.020) Prec@5 79.688 (76.877) Epoch: [30][5710/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.1943 (2.0707) Prec@1 57.812 (54.022) Prec@5 77.344 (76.878) Epoch: [30][5720/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8855 (2.0708) Prec@1 57.031 (54.023) Prec@5 78.125 (76.878) Epoch: [30][5730/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9066 (2.0707) Prec@1 50.781 (54.025) Prec@5 78.906 (76.879) Epoch: [30][5740/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8900 (2.0704) Prec@1 60.938 (54.031) Prec@5 78.125 (76.882) Epoch: [30][5750/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0945 (2.0703) Prec@1 52.344 (54.035) Prec@5 75.781 (76.883) Epoch: [30][5760/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9264 (2.0702) Prec@1 63.281 (54.037) Prec@5 78.906 (76.886) Epoch: [30][5770/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1383 (2.0701) Prec@1 55.469 (54.041) Prec@5 77.344 (76.888) Epoch: [30][5780/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7386 (2.0698) Prec@1 57.812 (54.047) Prec@5 80.469 (76.892) Epoch: [30][5790/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8306 (2.0698) Prec@1 62.500 (54.047) Prec@5 82.031 (76.892) Epoch: [30][5800/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8349 (2.0695) Prec@1 61.719 (54.056) Prec@5 80.469 (76.895) Epoch: [30][5810/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1964 (2.0695) Prec@1 50.781 (54.057) Prec@5 76.562 (76.895) Epoch: [30][5820/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0676 (2.0692) Prec@1 49.219 (54.063) Prec@5 79.688 (76.900) Epoch: [30][5830/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8050 (2.0690) Prec@1 59.375 (54.063) Prec@5 78.125 (76.903) Epoch: [30][5840/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9647 (2.0690) Prec@1 56.250 (54.066) Prec@5 81.250 (76.904) Epoch: [30][5850/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0464 (2.0688) Prec@1 53.906 (54.070) Prec@5 75.000 (76.907) Epoch: [30][5860/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.1198 (2.0686) Prec@1 52.344 (54.076) Prec@5 76.562 (76.910) Epoch: [30][5870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8597 (2.0682) Prec@1 59.375 (54.085) Prec@5 81.250 (76.915) Epoch: [30][5880/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6777 (2.0679) Prec@1 61.719 (54.094) Prec@5 81.250 (76.919) Epoch: [30][5890/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9953 (2.0677) Prec@1 57.031 (54.098) Prec@5 78.125 (76.922) Epoch: [30][5900/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2548 (2.0675) Prec@1 50.781 (54.101) Prec@5 75.781 (76.925) Epoch: [30][5910/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7424 (2.0674) Prec@1 64.844 (54.102) Prec@5 83.594 (76.928) Epoch: [30][5920/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0954 (2.0672) Prec@1 54.688 (54.108) Prec@5 80.469 (76.931) Epoch: [30][5930/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0343 (2.0669) Prec@1 59.375 (54.115) Prec@5 77.344 (76.937) Epoch: [30][5940/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9478 (2.0666) Prec@1 54.688 (54.119) Prec@5 79.688 (76.940) Epoch: [30][5950/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0522 (2.0665) Prec@1 57.031 (54.120) Prec@5 78.125 (76.942) Epoch: [30][5960/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6226 (2.0663) Prec@1 59.375 (54.126) Prec@5 83.594 (76.943) Epoch: [30][5970/10010] Time 0.352 (0.331) Data 0.000 (0.001) Loss 2.0740 (2.0662) Prec@1 57.812 (54.128) Prec@5 77.344 (76.944) Epoch: [30][5980/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.3005 (2.0662) Prec@1 50.781 (54.127) Prec@5 78.125 (76.946) Epoch: [30][5990/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7562 (2.0658) Prec@1 61.719 (54.134) Prec@5 80.469 (76.950) Epoch: [30][6000/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7658 (2.0656) Prec@1 57.812 (54.136) Prec@5 85.156 (76.952) Epoch: [30][6010/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.3222 (2.0657) Prec@1 52.344 (54.137) Prec@5 75.000 (76.951) Epoch: [30][6020/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8620 (2.0654) Prec@1 60.938 (54.143) Prec@5 78.906 (76.956) Epoch: [30][6030/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6963 (2.0653) Prec@1 59.375 (54.145) Prec@5 83.594 (76.957) Epoch: [30][6040/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1529 (2.0651) Prec@1 50.000 (54.149) Prec@5 73.438 (76.960) Epoch: [30][6050/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.1360 (2.0649) Prec@1 50.000 (54.150) Prec@5 74.219 (76.962) Epoch: [30][6060/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.2216 (2.0648) Prec@1 52.344 (54.152) Prec@5 71.094 (76.963) Epoch: [30][6070/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.4971 (2.0647) Prec@1 67.969 (54.154) Prec@5 82.812 (76.963) Epoch: [30][6080/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9632 (2.0647) Prec@1 60.156 (54.153) Prec@5 79.688 (76.965) Epoch: [30][6090/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8507 (2.0646) Prec@1 57.812 (54.155) Prec@5 82.031 (76.965) Epoch: [30][6100/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2205 (2.0645) Prec@1 45.312 (54.154) Prec@5 76.562 (76.966) Epoch: [30][6110/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0226 (2.0642) Prec@1 57.031 (54.162) Prec@5 80.469 (76.971) Epoch: [30][6120/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.1189 (2.0641) Prec@1 55.469 (54.164) Prec@5 76.562 (76.973) Epoch: [30][6130/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7217 (2.0639) Prec@1 57.812 (54.168) Prec@5 82.031 (76.974) Epoch: [30][6140/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3258 (2.0638) Prec@1 56.250 (54.170) Prec@5 72.656 (76.975) Epoch: [30][6150/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8001 (2.0639) Prec@1 61.719 (54.172) Prec@5 80.469 (76.973) Epoch: [30][6160/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9931 (2.0638) Prec@1 60.156 (54.178) Prec@5 75.000 (76.972) Epoch: [30][6170/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9302 (2.0635) Prec@1 53.906 (54.183) Prec@5 81.250 (76.978) Epoch: [30][6180/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8394 (2.0635) Prec@1 57.812 (54.184) Prec@5 80.469 (76.981) Epoch: [30][6190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9856 (2.0632) Prec@1 59.375 (54.187) Prec@5 77.344 (76.985) Epoch: [30][6200/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.2574 (2.0630) Prec@1 49.219 (54.190) Prec@5 77.344 (76.986) Epoch: [30][6210/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.8421 (2.0628) Prec@1 52.344 (54.194) Prec@5 79.688 (76.988) Epoch: [30][6220/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9280 (2.0626) Prec@1 56.250 (54.198) Prec@5 79.688 (76.991) Epoch: [30][6230/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.2748 (2.0626) Prec@1 50.781 (54.199) Prec@5 71.094 (76.991) Epoch: [30][6240/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8537 (2.0624) Prec@1 59.375 (54.200) Prec@5 77.344 (76.993) Epoch: [30][6250/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.2205 (2.0624) Prec@1 50.781 (54.200) Prec@5 76.562 (76.992) Epoch: [30][6260/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.3980 (2.0623) Prec@1 50.781 (54.204) Prec@5 70.312 (76.994) Epoch: [30][6270/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.1985 (2.0622) Prec@1 50.781 (54.204) Prec@5 72.656 (76.995) Epoch: [30][6280/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9351 (2.0620) Prec@1 52.344 (54.206) Prec@5 82.031 (76.998) Epoch: [30][6290/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.2235 (2.0619) Prec@1 50.781 (54.208) Prec@5 75.000 (77.000) Epoch: [30][6300/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0608 (2.0617) Prec@1 49.219 (54.212) Prec@5 79.688 (77.004) Epoch: [30][6310/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0467 (2.0616) Prec@1 55.469 (54.215) Prec@5 75.781 (77.004) Epoch: [30][6320/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0706 (2.0614) Prec@1 53.906 (54.218) Prec@5 75.000 (77.007) Epoch: [30][6330/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.1264 (2.0612) Prec@1 42.969 (54.221) Prec@5 76.562 (77.013) Epoch: [30][6340/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9328 (2.0610) Prec@1 55.469 (54.228) Prec@5 75.000 (77.017) Epoch: [30][6350/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8668 (2.0608) Prec@1 56.250 (54.230) Prec@5 80.469 (77.018) Epoch: [30][6360/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1395 (2.0606) Prec@1 53.125 (54.234) Prec@5 76.562 (77.022) Epoch: [30][6370/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.3038 (2.0605) Prec@1 50.000 (54.238) Prec@5 73.438 (77.024) Epoch: [30][6380/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8736 (2.0604) Prec@1 54.688 (54.237) Prec@5 80.469 (77.024) Epoch: [30][6390/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9240 (2.0602) Prec@1 54.688 (54.238) Prec@5 81.250 (77.028) Epoch: [30][6400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9793 (2.0600) Prec@1 52.344 (54.240) Prec@5 81.250 (77.031) Epoch: [30][6410/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.2870 (2.0600) Prec@1 47.656 (54.241) Prec@5 67.969 (77.029) Epoch: [30][6420/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9267 (2.0598) Prec@1 57.812 (54.243) Prec@5 76.562 (77.030) Epoch: [30][6430/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7977 (2.0597) Prec@1 58.594 (54.247) Prec@5 79.688 (77.032) Epoch: [30][6440/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8156 (2.0595) Prec@1 56.250 (54.250) Prec@5 82.812 (77.035) Epoch: [30][6450/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0687 (2.0594) Prec@1 56.250 (54.255) Prec@5 79.688 (77.039) Epoch: [30][6460/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8772 (2.0591) Prec@1 57.031 (54.259) Prec@5 78.906 (77.041) Epoch: [30][6470/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0415 (2.0589) Prec@1 57.031 (54.261) Prec@5 77.344 (77.042) Epoch: [30][6480/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9810 (2.0587) Prec@1 53.125 (54.263) Prec@5 78.906 (77.045) Epoch: [30][6490/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7234 (2.0586) Prec@1 60.938 (54.266) Prec@5 82.031 (77.048) Epoch: [30][6500/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8872 (2.0586) Prec@1 55.469 (54.266) Prec@5 78.125 (77.047) Epoch: [30][6510/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7913 (2.0584) Prec@1 55.469 (54.269) Prec@5 80.469 (77.048) Epoch: [30][6520/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8462 (2.0582) Prec@1 59.375 (54.273) Prec@5 79.688 (77.051) Epoch: [30][6530/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7066 (2.0580) Prec@1 60.938 (54.276) Prec@5 80.469 (77.052) Epoch: [30][6540/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0313 (2.0579) Prec@1 53.125 (54.279) Prec@5 74.219 (77.054) Epoch: [30][6550/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9860 (2.0578) Prec@1 59.375 (54.281) Prec@5 76.562 (77.057) Epoch: [30][6560/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9047 (2.0576) Prec@1 58.594 (54.286) Prec@5 82.031 (77.062) Epoch: [30][6570/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9776 (2.0575) Prec@1 57.812 (54.288) Prec@5 74.219 (77.063) Epoch: [30][6580/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0120 (2.0574) Prec@1 50.000 (54.289) Prec@5 80.469 (77.062) Epoch: [30][6590/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9352 (2.0574) Prec@1 54.688 (54.288) Prec@5 82.812 (77.064) Epoch: [30][6600/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9096 (2.0571) Prec@1 57.031 (54.294) Prec@5 76.562 (77.069) Epoch: [30][6610/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6913 (2.0569) Prec@1 61.719 (54.295) Prec@5 85.156 (77.071) Epoch: [30][6620/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8259 (2.0568) Prec@1 55.469 (54.297) Prec@5 81.250 (77.073) Epoch: [30][6630/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.1254 (2.0568) Prec@1 53.125 (54.300) Prec@5 71.094 (77.072) Epoch: [30][6640/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0876 (2.0566) Prec@1 50.000 (54.301) Prec@5 76.562 (77.074) Epoch: [30][6650/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.2143 (2.0565) Prec@1 51.562 (54.304) Prec@5 74.219 (77.078) Epoch: [30][6660/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0170 (2.0564) Prec@1 53.906 (54.306) Prec@5 79.688 (77.080) Epoch: [30][6670/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8307 (2.0561) Prec@1 58.594 (54.314) Prec@5 78.906 (77.085) Epoch: [30][6680/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6835 (2.0560) Prec@1 59.375 (54.318) Prec@5 82.031 (77.085) Epoch: [30][6690/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9802 (2.0559) Prec@1 59.375 (54.318) Prec@5 77.344 (77.089) Epoch: [30][6700/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5193 (2.0557) Prec@1 62.500 (54.322) Prec@5 85.938 (77.091) Epoch: [30][6710/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7313 (2.0556) Prec@1 63.281 (54.322) Prec@5 79.688 (77.093) Epoch: [30][6720/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0087 (2.0554) Prec@1 53.125 (54.324) Prec@5 73.438 (77.095) Epoch: [30][6730/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0157 (2.0554) Prec@1 54.688 (54.325) Prec@5 77.344 (77.096) Epoch: [30][6740/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0658 (2.0553) Prec@1 50.000 (54.327) Prec@5 78.125 (77.098) Epoch: [30][6750/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.1376 (2.0553) Prec@1 54.688 (54.327) Prec@5 75.781 (77.099) Epoch: [30][6760/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9500 (2.0552) Prec@1 53.125 (54.328) Prec@5 82.812 (77.101) Epoch: [30][6770/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8259 (2.0550) Prec@1 53.906 (54.332) Prec@5 77.344 (77.104) Epoch: [30][6780/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9380 (2.0549) Prec@1 60.156 (54.333) Prec@5 78.906 (77.105) Epoch: [30][6790/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.2356 (2.0547) Prec@1 55.469 (54.335) Prec@5 78.125 (77.110) Epoch: [30][6800/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8457 (2.0546) Prec@1 60.156 (54.335) Prec@5 82.812 (77.111) Epoch: [30][6810/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9649 (2.0545) Prec@1 52.344 (54.337) Prec@5 78.906 (77.113) Epoch: [30][6820/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0577 (2.0545) Prec@1 55.469 (54.339) Prec@5 78.125 (77.114) Epoch: [30][6830/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9180 (2.0544) Prec@1 58.594 (54.341) Prec@5 76.562 (77.115) Epoch: [30][6840/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1785 (2.0543) Prec@1 50.781 (54.346) Prec@5 77.344 (77.116) Epoch: [30][6850/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9970 (2.0542) Prec@1 55.469 (54.348) Prec@5 76.562 (77.118) Epoch: [30][6860/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.9376 (2.0542) Prec@1 53.125 (54.350) Prec@5 82.812 (77.121) Epoch: [30][6870/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9254 (2.0540) Prec@1 56.250 (54.354) Prec@5 77.344 (77.124) Epoch: [30][6880/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0541 (2.0538) Prec@1 53.906 (54.356) Prec@5 77.344 (77.125) Epoch: [30][6890/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7831 (2.0537) Prec@1 57.031 (54.357) Prec@5 79.688 (77.128) Epoch: [30][6900/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9388 (2.0536) Prec@1 57.031 (54.359) Prec@5 78.906 (77.130) Epoch: [30][6910/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8116 (2.0535) Prec@1 53.125 (54.359) Prec@5 82.812 (77.130) Epoch: [30][6920/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6846 (2.0534) Prec@1 61.719 (54.362) Prec@5 80.469 (77.132) Epoch: [30][6930/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9649 (2.0532) Prec@1 54.688 (54.367) Prec@5 81.250 (77.136) Epoch: [30][6940/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9978 (2.0531) Prec@1 58.594 (54.369) Prec@5 78.125 (77.138) Epoch: [30][6950/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5188 (2.0528) Prec@1 62.500 (54.377) Prec@5 84.375 (77.145) Epoch: [30][6960/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.3027 (2.0527) Prec@1 45.312 (54.379) Prec@5 75.000 (77.147) Epoch: [30][6970/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2826 (2.0527) Prec@1 54.688 (54.381) Prec@5 74.219 (77.146) Epoch: [30][6980/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9624 (2.0525) Prec@1 54.688 (54.384) Prec@5 78.125 (77.150) Epoch: [30][6990/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.1840 (2.0524) Prec@1 50.781 (54.387) Prec@5 76.562 (77.152) Epoch: [30][7000/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8463 (2.0523) Prec@1 58.594 (54.390) Prec@5 74.219 (77.151) Epoch: [30][7010/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8392 (2.0520) Prec@1 58.594 (54.394) Prec@5 79.688 (77.155) Epoch: [30][7020/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8744 (2.0520) Prec@1 60.938 (54.396) Prec@5 78.125 (77.155) Epoch: [30][7030/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9216 (2.0518) Prec@1 55.469 (54.400) Prec@5 78.125 (77.157) Epoch: [30][7040/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7175 (2.0517) Prec@1 57.812 (54.402) Prec@5 85.156 (77.160) Epoch: [30][7050/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7001 (2.0514) Prec@1 63.281 (54.408) Prec@5 82.812 (77.164) Epoch: [30][7060/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8263 (2.0514) Prec@1 59.375 (54.407) Prec@5 78.906 (77.165) Epoch: [30][7070/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1476 (2.0513) Prec@1 51.562 (54.408) Prec@5 77.344 (77.166) Epoch: [30][7080/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9999 (2.0513) Prec@1 56.250 (54.409) Prec@5 77.344 (77.168) Epoch: [30][7090/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6514 (2.0511) Prec@1 62.500 (54.413) Prec@5 83.594 (77.171) Epoch: [30][7100/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.0492 (2.0510) Prec@1 51.562 (54.414) Prec@5 80.469 (77.171) Epoch: [30][7110/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9267 (2.0508) Prec@1 53.906 (54.418) Prec@5 80.469 (77.174) Epoch: [30][7120/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.8825 (2.0505) Prec@1 54.688 (54.424) Prec@5 78.125 (77.178) Epoch: [30][7130/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7402 (2.0503) Prec@1 58.594 (54.426) Prec@5 81.250 (77.178) Epoch: [30][7140/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8989 (2.0502) Prec@1 53.125 (54.425) Prec@5 78.125 (77.179) Epoch: [30][7150/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7866 (2.0500) Prec@1 63.281 (54.428) Prec@5 79.688 (77.181) Epoch: [30][7160/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9051 (2.0498) Prec@1 54.688 (54.434) Prec@5 77.344 (77.186) Epoch: [30][7170/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9504 (2.0496) Prec@1 53.906 (54.435) Prec@5 76.562 (77.185) Epoch: [30][7180/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9330 (2.0496) Prec@1 57.031 (54.437) Prec@5 77.344 (77.186) Epoch: [30][7190/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9302 (2.0495) Prec@1 57.031 (54.438) Prec@5 78.125 (77.186) Epoch: [30][7200/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9588 (2.0494) Prec@1 57.812 (54.442) Prec@5 76.562 (77.186) Epoch: [30][7210/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9167 (2.0493) Prec@1 58.594 (54.446) Prec@5 78.125 (77.187) Epoch: [30][7220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9570 (2.0492) Prec@1 54.688 (54.447) Prec@5 77.344 (77.188) Epoch: [30][7230/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1242 (2.0490) Prec@1 55.469 (54.449) Prec@5 75.000 (77.191) Epoch: [30][7240/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8693 (2.0488) Prec@1 57.031 (54.450) Prec@5 80.469 (77.194) Epoch: [30][7250/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0450 (2.0488) Prec@1 56.250 (54.450) Prec@5 75.000 (77.195) Epoch: [30][7260/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2024 (2.0486) Prec@1 55.469 (54.454) Prec@5 78.906 (77.197) Epoch: [30][7270/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.7150 (2.0484) Prec@1 63.281 (54.460) Prec@5 82.812 (77.200) Epoch: [30][7280/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.3454 (2.0483) Prec@1 49.219 (54.463) Prec@5 72.656 (77.202) Epoch: [30][7290/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7388 (2.0482) Prec@1 60.938 (54.465) Prec@5 78.906 (77.203) Epoch: [30][7300/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9104 (2.0479) Prec@1 55.469 (54.472) Prec@5 72.656 (77.207) Epoch: [30][7310/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0144 (2.0478) Prec@1 58.594 (54.473) Prec@5 71.875 (77.208) Epoch: [30][7320/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0342 (2.0476) Prec@1 57.812 (54.478) Prec@5 79.688 (77.210) Epoch: [30][7330/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0670 (2.0475) Prec@1 50.000 (54.479) Prec@5 74.219 (77.211) Epoch: [30][7340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8968 (2.0474) Prec@1 57.812 (54.483) Prec@5 78.125 (77.213) Epoch: [30][7350/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0740 (2.0472) Prec@1 52.344 (54.488) Prec@5 77.344 (77.219) Epoch: [30][7360/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8880 (2.0471) Prec@1 58.594 (54.490) Prec@5 78.125 (77.221) Epoch: [30][7370/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.4465 (2.0469) Prec@1 67.188 (54.494) Prec@5 82.031 (77.221) Epoch: [30][7380/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8201 (2.0469) Prec@1 60.156 (54.493) Prec@5 79.688 (77.223) Epoch: [30][7390/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7787 (2.0466) Prec@1 59.375 (54.499) Prec@5 83.594 (77.228) Epoch: [30][7400/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8865 (2.0465) Prec@1 53.906 (54.502) Prec@5 78.906 (77.231) Epoch: [30][7410/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9100 (2.0463) Prec@1 57.031 (54.504) Prec@5 76.562 (77.231) Epoch: [30][7420/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7119 (2.0463) Prec@1 63.281 (54.505) Prec@5 83.594 (77.232) Epoch: [30][7430/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8622 (2.0460) Prec@1 55.469 (54.512) Prec@5 79.688 (77.234) Epoch: [30][7440/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6189 (2.0459) Prec@1 61.719 (54.513) Prec@5 85.156 (77.237) Epoch: [30][7450/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0013 (2.0458) Prec@1 53.125 (54.514) Prec@5 81.250 (77.240) Epoch: [30][7460/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7094 (2.0455) Prec@1 60.156 (54.516) Prec@5 82.031 (77.244) Epoch: [30][7470/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0865 (2.0453) Prec@1 53.906 (54.520) Prec@5 70.312 (77.246) Epoch: [30][7480/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9615 (2.0452) Prec@1 54.688 (54.519) Prec@5 80.469 (77.249) Epoch: [30][7490/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.1133 (2.0453) Prec@1 56.250 (54.519) Prec@5 74.219 (77.247) Epoch: [30][7500/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0833 (2.0450) Prec@1 48.438 (54.521) Prec@5 75.000 (77.251) Epoch: [30][7510/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 1.4929 (2.0447) Prec@1 65.625 (54.527) Prec@5 85.156 (77.254) Epoch: [30][7520/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9465 (2.0447) Prec@1 57.031 (54.529) Prec@5 77.344 (77.253) Epoch: [30][7530/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.2749 (2.0447) Prec@1 47.656 (54.530) Prec@5 73.438 (77.253) Epoch: [30][7540/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1426 (2.0446) Prec@1 50.781 (54.531) Prec@5 75.000 (77.254) Epoch: [30][7550/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0974 (2.0444) Prec@1 52.344 (54.533) Prec@5 74.219 (77.257) Epoch: [30][7560/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.1590 (2.0443) Prec@1 56.250 (54.536) Prec@5 78.125 (77.259) Epoch: [30][7570/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.2377 (2.0442) Prec@1 49.219 (54.536) Prec@5 74.219 (77.259) Epoch: [30][7580/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3254 (2.0441) Prec@1 53.906 (54.539) Prec@5 72.656 (77.262) Epoch: [30][7590/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5987 (2.0439) Prec@1 65.625 (54.543) Prec@5 85.938 (77.265) Epoch: [30][7600/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8890 (2.0437) Prec@1 55.469 (54.546) Prec@5 79.688 (77.266) Epoch: [30][7610/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9383 (2.0438) Prec@1 57.812 (54.547) Prec@5 77.344 (77.265) Epoch: [30][7620/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2807 (2.0437) Prec@1 51.562 (54.549) Prec@5 71.875 (77.266) Epoch: [30][7630/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9742 (2.0436) Prec@1 59.375 (54.551) Prec@5 75.781 (77.268) Epoch: [30][7640/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9449 (2.0435) Prec@1 55.469 (54.552) Prec@5 79.688 (77.271) Epoch: [30][7650/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.0245 (2.0435) Prec@1 57.031 (54.553) Prec@5 78.125 (77.270) Epoch: [30][7660/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.0295 (2.0435) Prec@1 54.688 (54.553) Prec@5 77.344 (77.271) Epoch: [30][7670/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.2383 (2.0434) Prec@1 47.656 (54.554) Prec@5 76.562 (77.273) Epoch: [30][7680/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8014 (2.0432) Prec@1 57.031 (54.556) Prec@5 81.250 (77.274) Epoch: [30][7690/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.2962 (2.0432) Prec@1 45.312 (54.558) Prec@5 72.656 (77.275) Epoch: [30][7700/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8786 (2.0431) Prec@1 57.031 (54.559) Prec@5 80.469 (77.276) Epoch: [30][7710/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1381 (2.0430) Prec@1 49.219 (54.560) Prec@5 78.906 (77.278) Epoch: [30][7720/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.2981 (2.0429) Prec@1 50.000 (54.560) Prec@5 77.344 (77.280) Epoch: [30][7730/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7143 (2.0428) Prec@1 63.281 (54.565) Prec@5 79.688 (77.282) Epoch: [30][7740/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3094 (2.0426) Prec@1 56.250 (54.567) Prec@5 70.312 (77.284) Epoch: [30][7750/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9183 (2.0425) Prec@1 58.594 (54.569) Prec@5 80.469 (77.284) Epoch: [30][7760/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7418 (2.0423) Prec@1 64.844 (54.572) Prec@5 81.250 (77.289) Epoch: [30][7770/10010] Time 0.352 (0.331) Data 0.000 (0.001) Loss 1.8220 (2.0422) Prec@1 53.906 (54.573) Prec@5 80.469 (77.291) Epoch: [30][7780/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.4394 (2.0423) Prec@1 47.656 (54.572) Prec@5 70.312 (77.291) /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: [30][7790/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7354 (2.0421) Prec@1 62.500 (54.576) Prec@5 82.812 (77.293) Epoch: [30][7800/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9981 (2.0419) Prec@1 57.812 (54.579) Prec@5 81.250 (77.297) Epoch: [30][7810/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7641 (2.0418) Prec@1 61.719 (54.581) Prec@5 79.688 (77.299) Epoch: [30][7820/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1149 (2.0419) Prec@1 55.469 (54.581) Prec@5 71.875 (77.297) Epoch: [30][7830/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1033 (2.0418) Prec@1 52.344 (54.585) Prec@5 75.781 (77.299) Epoch: [30][7840/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7783 (2.0416) Prec@1 58.594 (54.590) Prec@5 82.031 (77.302) Epoch: [30][7850/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8642 (2.0416) Prec@1 57.031 (54.593) Prec@5 82.031 (77.302) Epoch: [30][7860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1286 (2.0415) Prec@1 49.219 (54.593) Prec@5 75.781 (77.303) Epoch: [30][7870/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6717 (2.0414) Prec@1 61.719 (54.596) Prec@5 82.812 (77.304) Epoch: [30][7880/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7367 (2.0414) Prec@1 60.938 (54.597) Prec@5 82.031 (77.304) Epoch: [30][7890/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7981 (2.0412) Prec@1 60.156 (54.600) Prec@5 78.906 (77.306) Epoch: [30][7900/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9995 (2.0412) Prec@1 57.031 (54.603) Prec@5 76.562 (77.306) Epoch: [30][7910/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7568 (2.0410) Prec@1 59.375 (54.605) Prec@5 78.906 (77.307) Epoch: [30][7920/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9311 (2.0408) Prec@1 57.031 (54.607) Prec@5 82.031 (77.311) Epoch: [30][7930/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0253 (2.0407) Prec@1 54.688 (54.609) Prec@5 78.906 (77.312) Epoch: [30][7940/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9483 (2.0406) Prec@1 57.812 (54.612) Prec@5 77.344 (77.314) Epoch: [30][7950/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9312 (2.0405) Prec@1 58.594 (54.613) Prec@5 71.875 (77.315) Epoch: [30][7960/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9295 (2.0404) Prec@1 62.500 (54.615) Prec@5 77.344 (77.316) Epoch: [30][7970/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0558 (2.0403) Prec@1 52.344 (54.615) Prec@5 78.125 (77.317) Epoch: [30][7980/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9303 (2.0402) Prec@1 60.156 (54.616) Prec@5 79.688 (77.318) Epoch: [30][7990/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7790 (2.0401) Prec@1 60.938 (54.618) Prec@5 82.812 (77.320) Epoch: [30][8000/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0115 (2.0401) Prec@1 58.594 (54.619) Prec@5 76.562 (77.319) Epoch: [30][8010/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.2166 (2.0401) Prec@1 49.219 (54.619) Prec@5 72.656 (77.318) Epoch: [30][8020/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0409 (2.0399) Prec@1 57.031 (54.623) Prec@5 79.688 (77.320) Epoch: [30][8030/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.7811 (2.0397) Prec@1 60.938 (54.628) Prec@5 80.469 (77.323) Epoch: [30][8040/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7920 (2.0397) Prec@1 62.500 (54.630) Prec@5 81.250 (77.325) Epoch: [30][8050/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1557 (2.0397) Prec@1 50.781 (54.629) Prec@5 78.125 (77.327) Epoch: [30][8060/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.1235 (2.0396) Prec@1 53.125 (54.632) Prec@5 78.906 (77.328) Epoch: [30][8070/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6836 (2.0395) Prec@1 58.594 (54.636) Prec@5 82.031 (77.329) Epoch: [30][8080/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9691 (2.0394) Prec@1 55.469 (54.638) Prec@5 80.469 (77.331) Epoch: [30][8090/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6725 (2.0393) Prec@1 63.281 (54.641) Prec@5 82.031 (77.333) Epoch: [30][8100/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.0199 (2.0392) Prec@1 54.688 (54.644) Prec@5 78.906 (77.335) Epoch: [30][8110/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0731 (2.0392) Prec@1 51.562 (54.645) Prec@5 75.781 (77.335) Epoch: [30][8120/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6802 (2.0390) Prec@1 60.938 (54.648) Prec@5 80.469 (77.338) Epoch: [30][8130/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.9113 (2.0390) Prec@1 57.812 (54.649) Prec@5 79.688 (77.340) Epoch: [30][8140/10010] Time 0.310 (0.331) Data 0.001 (0.001) Loss 2.2275 (2.0390) Prec@1 49.219 (54.648) Prec@5 75.781 (77.341) Epoch: [30][8150/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.7403 (2.0389) Prec@1 63.281 (54.648) Prec@5 82.812 (77.341) Epoch: [30][8160/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0288 (2.0388) Prec@1 58.594 (54.652) Prec@5 76.562 (77.343) Epoch: [30][8170/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1033 (2.0387) Prec@1 50.000 (54.654) Prec@5 75.000 (77.343) Epoch: [30][8180/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0235 (2.0385) Prec@1 55.469 (54.658) Prec@5 77.344 (77.346) Epoch: [30][8190/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.9770 (2.0384) Prec@1 53.906 (54.660) Prec@5 77.344 (77.348) Epoch: [30][8200/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1230 (2.0383) Prec@1 53.125 (54.662) Prec@5 73.438 (77.349) Epoch: [30][8210/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1745 (2.0382) Prec@1 47.656 (54.664) Prec@5 78.906 (77.352) Epoch: [30][8220/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8985 (2.0382) Prec@1 58.594 (54.666) Prec@5 80.469 (77.352) Epoch: [30][8230/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8284 (2.0380) Prec@1 60.938 (54.671) Prec@5 79.688 (77.354) Epoch: [30][8240/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.4452 (2.0381) Prec@1 46.094 (54.672) Prec@5 66.406 (77.352) Epoch: [30][8250/10010] Time 0.315 (0.331) Data 0.004 (0.001) Loss 2.2287 (2.0380) Prec@1 46.875 (54.672) Prec@5 71.875 (77.352) Epoch: [30][8260/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6823 (2.0379) Prec@1 63.281 (54.674) Prec@5 81.250 (77.351) Epoch: [30][8270/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.1387 (2.0378) Prec@1 49.219 (54.674) Prec@5 77.344 (77.353) Epoch: [30][8280/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.1371 (2.0377) Prec@1 53.906 (54.677) Prec@5 76.562 (77.353) Epoch: [30][8290/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6256 (2.0376) Prec@1 60.938 (54.679) Prec@5 83.594 (77.354) Epoch: [30][8300/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9034 (2.0374) Prec@1 54.688 (54.680) Prec@5 78.125 (77.356) Epoch: [30][8310/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2218 (2.0374) Prec@1 50.781 (54.682) Prec@5 77.344 (77.358) Epoch: [30][8320/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9242 (2.0372) Prec@1 53.906 (54.687) Prec@5 78.906 (77.361) Epoch: [30][8330/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9853 (2.0370) Prec@1 49.219 (54.689) Prec@5 82.031 (77.363) Epoch: [30][8340/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.1608 (2.0370) Prec@1 47.656 (54.688) Prec@5 74.219 (77.361) Epoch: [30][8350/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9705 (2.0370) Prec@1 58.594 (54.687) Prec@5 77.344 (77.360) Epoch: [30][8360/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8636 (2.0368) Prec@1 62.500 (54.690) Prec@5 80.469 (77.363) Epoch: [30][8370/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8243 (2.0368) Prec@1 64.062 (54.691) Prec@5 85.156 (77.362) Epoch: [30][8380/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0850 (2.0369) Prec@1 50.000 (54.690) Prec@5 76.562 (77.361) Epoch: [30][8390/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8892 (2.0369) Prec@1 51.562 (54.691) Prec@5 82.812 (77.361) Epoch: [30][8400/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0140 (2.0368) Prec@1 56.250 (54.691) Prec@5 76.562 (77.364) Epoch: [30][8410/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8520 (2.0367) Prec@1 59.375 (54.693) Prec@5 81.250 (77.367) Epoch: [30][8420/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8288 (2.0365) Prec@1 58.594 (54.695) Prec@5 79.688 (77.369) Epoch: [30][8430/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0857 (2.0364) Prec@1 53.125 (54.697) Prec@5 74.219 (77.369) Epoch: [30][8440/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9169 (2.0363) Prec@1 56.250 (54.698) Prec@5 80.469 (77.371) Epoch: [30][8450/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3037 (2.0362) Prec@1 50.781 (54.701) Prec@5 73.438 (77.374) Epoch: [30][8460/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.1996 (2.0361) Prec@1 51.562 (54.701) Prec@5 75.000 (77.373) Epoch: [30][8470/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0161 (2.0360) Prec@1 53.125 (54.702) Prec@5 78.906 (77.375) Epoch: [30][8480/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0482 (2.0358) Prec@1 55.469 (54.705) Prec@5 76.562 (77.378) Epoch: [30][8490/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8208 (2.0358) Prec@1 57.812 (54.706) Prec@5 79.688 (77.378) Epoch: [30][8500/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9919 (2.0358) Prec@1 54.688 (54.708) Prec@5 73.438 (77.379) Epoch: [30][8510/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7934 (2.0356) Prec@1 57.031 (54.711) Prec@5 80.469 (77.382) Epoch: [30][8520/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8198 (2.0355) Prec@1 55.469 (54.713) Prec@5 82.812 (77.384) Epoch: [30][8530/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6486 (2.0354) Prec@1 60.938 (54.715) Prec@5 85.156 (77.386) Epoch: [30][8540/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0427 (2.0353) Prec@1 57.031 (54.718) Prec@5 75.781 (77.387) Epoch: [30][8550/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8991 (2.0351) Prec@1 51.562 (54.721) Prec@5 78.906 (77.390) Epoch: [30][8560/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1365 (2.0352) Prec@1 57.031 (54.720) Prec@5 73.438 (77.388) Epoch: [30][8570/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.2313 (2.0351) Prec@1 49.219 (54.721) Prec@5 76.562 (77.388) Epoch: [30][8580/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0964 (2.0352) Prec@1 50.781 (54.722) Prec@5 78.125 (77.389) Epoch: [30][8590/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8290 (2.0350) Prec@1 60.938 (54.725) Prec@5 78.906 (77.390) Epoch: [30][8600/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7967 (2.0349) Prec@1 61.719 (54.727) Prec@5 82.812 (77.391) Epoch: [30][8610/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9389 (2.0349) Prec@1 61.719 (54.730) Prec@5 78.906 (77.390) Epoch: [30][8620/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.2295 (2.0350) Prec@1 57.031 (54.729) Prec@5 75.781 (77.390) Epoch: [30][8630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0070 (2.0349) Prec@1 57.812 (54.731) Prec@5 80.469 (77.390) Epoch: [30][8640/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.1219 (2.0349) Prec@1 49.219 (54.730) Prec@5 75.000 (77.391) Epoch: [30][8650/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6394 (2.0347) Prec@1 54.688 (54.732) Prec@5 85.156 (77.393) Epoch: [30][8660/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6760 (2.0346) Prec@1 60.156 (54.734) Prec@5 78.906 (77.395) Epoch: [30][8670/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6956 (2.0344) Prec@1 60.156 (54.736) Prec@5 80.469 (77.398) Epoch: [30][8680/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3011 (2.0343) Prec@1 52.344 (54.738) Prec@5 73.438 (77.398) Epoch: [30][8690/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6263 (2.0341) Prec@1 62.500 (54.744) Prec@5 84.375 (77.401) Epoch: [30][8700/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9765 (2.0339) Prec@1 53.125 (54.745) Prec@5 78.125 (77.403) Epoch: [30][8710/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0411 (2.0337) Prec@1 57.812 (54.748) Prec@5 75.000 (77.407) Epoch: [30][8720/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0270 (2.0336) Prec@1 54.688 (54.748) Prec@5 77.344 (77.408) Epoch: [30][8730/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0789 (2.0336) Prec@1 50.781 (54.748) Prec@5 75.000 (77.407) Epoch: [30][8740/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9210 (2.0336) Prec@1 53.906 (54.749) Prec@5 76.562 (77.408) Epoch: [30][8750/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6040 (2.0335) Prec@1 62.500 (54.752) Prec@5 82.812 (77.410) Epoch: [30][8760/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1854 (2.0334) Prec@1 51.562 (54.753) Prec@5 78.125 (77.412) Epoch: [30][8770/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6055 (2.0332) Prec@1 63.281 (54.757) Prec@5 85.938 (77.415) Epoch: [30][8780/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9500 (2.0330) Prec@1 57.031 (54.761) Prec@5 73.438 (77.418) Epoch: [30][8790/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7880 (2.0330) Prec@1 53.125 (54.762) Prec@5 82.812 (77.419) Epoch: [30][8800/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.1254 (2.0328) Prec@1 51.562 (54.765) Prec@5 78.906 (77.421) Epoch: [30][8810/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7625 (2.0327) Prec@1 60.938 (54.767) Prec@5 85.938 (77.423) Epoch: [30][8820/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0618 (2.0326) Prec@1 54.688 (54.770) Prec@5 77.344 (77.425) Epoch: [30][8830/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8391 (2.0326) Prec@1 55.469 (54.772) Prec@5 82.031 (77.428) Epoch: [30][8840/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.3461 (2.0325) Prec@1 50.781 (54.774) Prec@5 72.656 (77.428) Epoch: [30][8850/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0259 (2.0325) Prec@1 56.250 (54.775) Prec@5 74.219 (77.429) Epoch: [30][8860/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0263 (2.0324) Prec@1 56.250 (54.777) Prec@5 78.125 (77.431) Epoch: [30][8870/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6827 (2.0323) Prec@1 63.281 (54.777) Prec@5 83.594 (77.431) Epoch: [30][8880/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8678 (2.0322) Prec@1 54.688 (54.779) Prec@5 79.688 (77.434) Epoch: [30][8890/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6332 (2.0321) Prec@1 62.500 (54.780) Prec@5 83.594 (77.436) Epoch: [30][8900/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6753 (2.0320) Prec@1 61.719 (54.783) Prec@5 82.031 (77.438) Epoch: [30][8910/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6580 (2.0318) Prec@1 62.500 (54.785) Prec@5 81.250 (77.440) Epoch: [30][8920/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0870 (2.0318) Prec@1 58.594 (54.787) Prec@5 75.000 (77.441) Epoch: [30][8930/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0241 (2.0317) Prec@1 55.469 (54.789) Prec@5 82.031 (77.443) Epoch: [30][8940/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8926 (2.0315) Prec@1 54.688 (54.791) Prec@5 79.688 (77.444) Epoch: [30][8950/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8680 (2.0315) Prec@1 57.812 (54.792) Prec@5 79.688 (77.447) Epoch: [30][8960/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.3581 (2.0313) Prec@1 67.188 (54.795) Prec@5 90.625 (77.449) Epoch: [30][8970/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1150 (2.0312) Prec@1 53.906 (54.798) Prec@5 72.656 (77.452) Epoch: [30][8980/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0995 (2.0311) Prec@1 57.812 (54.799) Prec@5 77.344 (77.454) Epoch: [30][8990/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9966 (2.0309) Prec@1 53.906 (54.803) Prec@5 79.688 (77.455) Epoch: [30][9000/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7219 (2.0309) Prec@1 61.719 (54.804) Prec@5 79.688 (77.456) Epoch: [30][9010/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0555 (2.0308) Prec@1 49.219 (54.806) Prec@5 77.344 (77.459) Epoch: [30][9020/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8614 (2.0306) Prec@1 60.938 (54.808) Prec@5 78.906 (77.460) Epoch: [30][9030/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7944 (2.0305) Prec@1 58.594 (54.811) Prec@5 78.125 (77.462) Epoch: [30][9040/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0747 (2.0303) Prec@1 53.906 (54.814) Prec@5 73.438 (77.465) Epoch: [30][9050/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0378 (2.0303) Prec@1 58.594 (54.816) Prec@5 76.562 (77.464) Epoch: [30][9060/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7427 (2.0303) Prec@1 55.469 (54.816) Prec@5 85.156 (77.465) Epoch: [30][9070/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.0569 (2.0302) Prec@1 51.562 (54.816) Prec@5 74.219 (77.466) Epoch: [30][9080/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1972 (2.0302) Prec@1 52.344 (54.817) Prec@5 79.688 (77.466) Epoch: [30][9090/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1706 (2.0301) Prec@1 57.812 (54.820) Prec@5 73.438 (77.466) Epoch: [30][9100/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6330 (2.0300) Prec@1 60.938 (54.823) Prec@5 83.594 (77.469) Epoch: [30][9110/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0492 (2.0298) Prec@1 52.344 (54.824) Prec@5 75.781 (77.472) Epoch: [30][9120/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9036 (2.0297) Prec@1 60.156 (54.829) Prec@5 79.688 (77.472) Epoch: [30][9130/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1446 (2.0297) Prec@1 56.250 (54.831) Prec@5 78.125 (77.472) Epoch: [30][9140/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0421 (2.0296) Prec@1 57.812 (54.831) Prec@5 76.562 (77.473) Epoch: [30][9150/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9377 (2.0295) Prec@1 53.125 (54.833) Prec@5 82.031 (77.475) Epoch: [30][9160/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1561 (2.0295) Prec@1 55.469 (54.833) Prec@5 72.656 (77.474) Epoch: [30][9170/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8454 (2.0294) Prec@1 58.594 (54.836) Prec@5 80.469 (77.475) Epoch: [30][9180/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7689 (2.0293) Prec@1 53.906 (54.839) Prec@5 82.812 (77.476) Epoch: [30][9190/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8333 (2.0292) Prec@1 60.156 (54.842) Prec@5 82.031 (77.479) Epoch: [30][9200/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9424 (2.0291) Prec@1 57.812 (54.843) Prec@5 78.125 (77.481) Epoch: [30][9210/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8739 (2.0289) Prec@1 57.812 (54.845) Prec@5 78.906 (77.484) Epoch: [30][9220/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8794 (2.0287) Prec@1 57.812 (54.848) Prec@5 82.812 (77.487) Epoch: [30][9230/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8695 (2.0285) Prec@1 54.688 (54.850) Prec@5 80.469 (77.491) Epoch: [30][9240/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7552 (2.0283) Prec@1 55.469 (54.853) Prec@5 82.031 (77.493) Epoch: [30][9250/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9972 (2.0282) Prec@1 56.250 (54.855) Prec@5 74.219 (77.494) Epoch: [30][9260/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9764 (2.0281) Prec@1 50.781 (54.856) Prec@5 76.562 (77.495) Epoch: [30][9270/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0406 (2.0281) Prec@1 58.594 (54.857) Prec@5 75.781 (77.495) /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: [30][9280/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7148 (2.0280) Prec@1 64.062 (54.861) Prec@5 80.469 (77.497) Epoch: [30][9290/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0108 (2.0280) Prec@1 53.906 (54.863) Prec@5 80.469 (77.497) Epoch: [30][9300/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7985 (2.0278) Prec@1 58.594 (54.867) Prec@5 82.031 (77.500) Epoch: [30][9310/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6604 (2.0276) Prec@1 59.375 (54.869) Prec@5 84.375 (77.502) Epoch: [30][9320/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.1069 (2.0276) Prec@1 53.906 (54.868) Prec@5 73.438 (77.503) Epoch: [30][9330/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0292 (2.0275) Prec@1 60.938 (54.869) Prec@5 78.125 (77.505) Epoch: [30][9340/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0615 (2.0274) Prec@1 54.688 (54.871) Prec@5 74.219 (77.506) Epoch: [30][9350/10010] Time 0.334 (0.331) Data 0.002 (0.001) Loss 1.9948 (2.0272) Prec@1 57.031 (54.874) Prec@5 76.562 (77.508) Epoch: [30][9360/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.5236 (2.0271) Prec@1 63.281 (54.879) Prec@5 89.062 (77.512) Epoch: [30][9370/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8745 (2.0270) Prec@1 56.250 (54.880) Prec@5 82.031 (77.514) Epoch: [30][9380/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.2676 (2.0270) Prec@1 55.469 (54.883) Prec@5 73.438 (77.514) Epoch: [30][9390/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.4441 (2.0269) Prec@1 50.000 (54.886) Prec@5 71.875 (77.516) Epoch: [30][9400/10010] Time 0.353 (0.331) Data 0.001 (0.001) Loss 1.8024 (2.0268) Prec@1 60.938 (54.888) Prec@5 78.906 (77.516) Epoch: [30][9410/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0724 (2.0267) Prec@1 58.594 (54.889) Prec@5 76.562 (77.517) Epoch: [30][9420/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 1.8837 (2.0265) Prec@1 59.375 (54.892) Prec@5 79.688 (77.520) Epoch: [30][9430/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.0258 (2.0263) Prec@1 55.469 (54.895) Prec@5 78.906 (77.523) Epoch: [30][9440/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9298 (2.0262) Prec@1 57.031 (54.897) Prec@5 81.250 (77.524) Epoch: [30][9450/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3239 (2.0263) Prec@1 47.656 (54.895) Prec@5 71.094 (77.524) Epoch: [30][9460/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1456 (2.0263) Prec@1 50.000 (54.896) Prec@5 75.781 (77.525) Epoch: [30][9470/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.0845 (2.0262) Prec@1 55.469 (54.897) Prec@5 74.219 (77.525) Epoch: [30][9480/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8954 (2.0260) Prec@1 58.594 (54.900) Prec@5 76.562 (77.528) Epoch: [30][9490/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.2154 (2.0260) Prec@1 52.344 (54.899) Prec@5 74.219 (77.529) Epoch: [30][9500/10010] Time 0.343 (0.331) Data 0.006 (0.001) Loss 2.1444 (2.0258) Prec@1 51.562 (54.901) Prec@5 74.219 (77.531) Epoch: [30][9510/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9546 (2.0256) Prec@1 57.812 (54.905) Prec@5 77.344 (77.533) Epoch: [30][9520/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6206 (2.0255) Prec@1 63.281 (54.909) Prec@5 86.719 (77.535) Epoch: [30][9530/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0397 (2.0254) Prec@1 57.031 (54.909) Prec@5 75.000 (77.536) Epoch: [30][9540/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9203 (2.0253) Prec@1 60.156 (54.910) Prec@5 78.906 (77.538) Epoch: [30][9550/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9593 (2.0251) Prec@1 57.031 (54.914) Prec@5 77.344 (77.539) Epoch: [30][9560/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8224 (2.0251) Prec@1 57.031 (54.915) Prec@5 76.562 (77.540) Epoch: [30][9570/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9248 (2.0251) Prec@1 55.469 (54.914) Prec@5 79.688 (77.540) Epoch: [30][9580/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9404 (2.0250) Prec@1 54.688 (54.916) Prec@5 78.906 (77.541) Epoch: [30][9590/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0367 (2.0249) Prec@1 58.594 (54.920) Prec@5 78.125 (77.544) Epoch: [30][9600/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.2947 (2.0248) Prec@1 54.688 (54.923) Prec@5 73.438 (77.546) Epoch: [30][9610/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9401 (2.0246) Prec@1 58.594 (54.925) Prec@5 79.688 (77.549) Epoch: [30][9620/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0416 (2.0245) Prec@1 62.500 (54.928) Prec@5 78.125 (77.551) Epoch: [30][9630/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9428 (2.0243) Prec@1 53.906 (54.932) Prec@5 78.906 (77.555) Epoch: [30][9640/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.1100 (2.0243) Prec@1 51.562 (54.932) Prec@5 73.438 (77.555) Epoch: [30][9650/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.6859 (2.0241) Prec@1 60.938 (54.936) Prec@5 81.250 (77.558) Epoch: [30][9660/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8867 (2.0240) Prec@1 49.219 (54.938) Prec@5 82.031 (77.559) Epoch: [30][9670/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.7411 (2.0239) Prec@1 56.250 (54.936) Prec@5 80.469 (77.560) Epoch: [30][9680/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.1104 (2.0239) Prec@1 54.688 (54.936) Prec@5 75.000 (77.560) Epoch: [30][9690/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8225 (2.0238) Prec@1 53.906 (54.937) Prec@5 82.812 (77.563) Epoch: [30][9700/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1911 (2.0237) Prec@1 53.125 (54.939) Prec@5 75.000 (77.563) Epoch: [30][9710/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0563 (2.0235) Prec@1 53.906 (54.941) Prec@5 76.562 (77.566) Epoch: [30][9720/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6797 (2.0234) Prec@1 59.375 (54.944) Prec@5 82.812 (77.568) Epoch: [30][9730/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7823 (2.0233) Prec@1 58.594 (54.945) Prec@5 81.250 (77.570) Epoch: [30][9740/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8589 (2.0232) Prec@1 53.906 (54.945) Prec@5 82.812 (77.571) Epoch: [30][9750/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8399 (2.0232) Prec@1 60.156 (54.949) Prec@5 77.344 (77.571) Epoch: [30][9760/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0468 (2.0231) Prec@1 55.469 (54.949) Prec@5 75.000 (77.572) Epoch: [30][9770/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8823 (2.0231) Prec@1 51.562 (54.949) Prec@5 82.812 (77.573) Epoch: [30][9780/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3403 (2.0229) Prec@1 53.125 (54.952) Prec@5 71.875 (77.576) Epoch: [30][9790/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0258 (2.0228) Prec@1 57.031 (54.954) Prec@5 77.344 (77.578) Epoch: [30][9800/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2208 (2.0228) Prec@1 53.906 (54.954) Prec@5 77.344 (77.578) Epoch: [30][9810/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9708 (2.0227) Prec@1 57.812 (54.958) Prec@5 76.562 (77.581) Epoch: [30][9820/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9678 (2.0227) Prec@1 53.906 (54.957) Prec@5 76.562 (77.580) Epoch: [30][9830/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0220 (2.0226) Prec@1 56.250 (54.959) Prec@5 79.688 (77.580) Epoch: [30][9840/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6211 (2.0225) Prec@1 62.500 (54.960) Prec@5 82.812 (77.582) Epoch: [30][9850/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8483 (2.0224) Prec@1 64.062 (54.964) Prec@5 77.344 (77.584) Epoch: [30][9860/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9028 (2.0223) Prec@1 55.469 (54.966) Prec@5 82.812 (77.585) Epoch: [30][9870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0109 (2.0222) Prec@1 51.562 (54.967) Prec@5 77.344 (77.585) Epoch: [30][9880/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7600 (2.0222) Prec@1 56.250 (54.968) Prec@5 79.688 (77.585) Epoch: [30][9890/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1761 (2.0222) Prec@1 49.219 (54.967) Prec@5 77.344 (77.586) Epoch: [30][9900/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0122 (2.0220) Prec@1 56.250 (54.970) Prec@5 71.875 (77.588) Epoch: [30][9910/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9463 (2.0219) Prec@1 60.156 (54.973) Prec@5 81.250 (77.591) Epoch: [30][9920/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8083 (2.0218) Prec@1 59.375 (54.975) Prec@5 81.250 (77.593) Epoch: [30][9930/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.0120 (2.0218) Prec@1 58.594 (54.980) Prec@5 78.125 (77.594) Epoch: [30][9940/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 2.0997 (2.0217) Prec@1 58.594 (54.983) Prec@5 78.125 (77.595) Epoch: [30][9950/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.8246 (2.0215) Prec@1 58.594 (54.985) Prec@5 78.906 (77.597) Epoch: [30][9960/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.0296 (2.0214) Prec@1 53.125 (54.986) Prec@5 78.125 (77.598) Epoch: [30][9970/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.0257 (2.0213) Prec@1 53.125 (54.990) Prec@5 79.688 (77.601) Epoch: [30][9980/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.6099 (2.0212) Prec@1 60.156 (54.993) Prec@5 81.250 (77.604) Epoch: [30][9990/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.0520 (2.0211) Prec@1 53.125 (54.995) Prec@5 78.125 (77.606) Epoch: [30][10000/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.5562 (2.0209) Prec@1 62.500 (55.000) Prec@5 82.812 (77.610) Test: [0/391] Time 1.608 (1.608) Loss 0.8502 (0.8502) Prec@1 77.344 (77.344) Prec@5 92.969 (92.969) Test: [10/391] Time 0.111 (0.247) Loss 1.5885 (0.8643) Prec@1 61.719 (79.474) Prec@5 87.500 (93.253) Test: [20/391] Time 0.107 (0.180) Loss 1.1660 (1.1698) Prec@1 71.875 (71.726) Prec@5 89.062 (89.732) Test: [30/391] Time 0.106 (0.157) Loss 1.8609 (1.3116) Prec@1 61.719 (67.994) Prec@5 82.812 (88.962) Test: [40/391] Time 0.106 (0.146) Loss 1.2749 (1.1879) Prec@1 71.094 (70.979) Prec@5 90.625 (90.130) Test: [50/391] Time 0.104 (0.138) Loss 0.7079 (1.2231) Prec@1 78.906 (70.236) Prec@5 92.969 (89.553) Test: [60/391] Time 0.108 (0.134) Loss 1.0901 (1.1587) Prec@1 74.219 (71.798) Prec@5 92.969 (90.177) Test: [70/391] Time 0.105 (0.130) Loss 1.2893 (1.2027) Prec@1 63.281 (70.268) Prec@5 90.625 (89.866) Test: [80/391] Time 0.105 (0.128) Loss 1.2719 (1.2266) Prec@1 70.312 (69.232) Prec@5 85.938 (89.757) Test: [90/391] Time 0.103 (0.125) Loss 1.1817 (1.2393) Prec@1 55.469 (68.870) Prec@5 96.094 (89.715) Test: [100/391] Time 0.105 (0.123) Loss 0.9778 (1.2206) Prec@1 75.781 (68.851) Prec@5 93.750 (90.169) Test: [110/391] Time 0.099 (0.122) Loss 1.4504 (1.2209) Prec@1 53.125 (68.680) Prec@5 92.188 (90.203) Test: [120/391] Time 0.171 (0.121) Loss 1.1538 (1.2156) Prec@1 69.531 (68.957) Prec@5 90.625 (90.276) Test: [130/391] Time 0.101 (0.120) Loss 0.6026 (1.2050) Prec@1 89.062 (69.287) Prec@5 96.875 (90.428) Test: [140/391] Time 0.112 (0.119) Loss 1.6362 (1.2084) Prec@1 52.344 (69.082) Prec@5 86.719 (90.392) Test: [150/391] Time 0.107 (0.118) Loss 1.1291 (1.2111) Prec@1 60.938 (69.050) Prec@5 93.750 (90.315) Test: [160/391] Time 0.106 (0.117) Loss 1.2541 (1.2183) Prec@1 65.625 (69.031) Prec@5 89.844 (90.188) Test: [170/391] Time 0.104 (0.117) Loss 2.0278 (1.2579) Prec@1 46.094 (68.325) Prec@5 84.375 (89.666) Test: [180/391] Time 0.103 (0.116) Loss 2.4247 (1.2988) Prec@1 50.000 (67.524) Prec@5 77.344 (89.093) Test: [190/391] Time 0.106 (0.116) Loss 2.1931 (1.3397) Prec@1 50.781 (66.742) Prec@5 79.688 (88.420) Test: [200/391] Time 0.107 (0.115) Loss 1.7208 (1.3780) Prec@1 62.500 (66.084) Prec@5 85.156 (87.873) Test: [210/391] Time 0.108 (0.115) Loss 1.6419 (1.4005) Prec@1 61.719 (65.669) Prec@5 84.375 (87.581) Test: [220/391] Time 0.109 (0.115) Loss 0.9985 (1.4115) Prec@1 78.125 (65.522) Prec@5 89.062 (87.299) Test: [230/391] Time 0.106 (0.115) Loss 2.7373 (1.4303) Prec@1 35.156 (65.175) Prec@5 67.969 (87.064) Test: [240/391] Time 0.109 (0.114) Loss 1.8006 (1.4417) Prec@1 60.938 (65.077) Prec@5 81.250 (86.826) Test: [250/391] Time 0.107 (0.114) Loss 1.3757 (1.4712) Prec@1 65.625 (64.420) Prec@5 87.500 (86.436) Test: [260/391] Time 0.101 (0.113) Loss 1.9216 (1.4912) Prec@1 60.156 (64.039) Prec@5 78.125 (86.195) Test: [270/391] Time 0.107 (0.113) Loss 2.4626 (1.5034) Prec@1 40.625 (63.800) Prec@5 77.344 (85.987) Test: [280/391] Time 0.110 (0.113) Loss 1.5742 (1.5174) Prec@1 58.594 (63.565) Prec@5 85.938 (85.826) Test: [290/391] Time 0.102 (0.113) Loss 2.2353 (1.5362) Prec@1 38.281 (63.249) Prec@5 80.469 (85.527) Test: [300/391] Time 0.107 (0.113) Loss 1.6681 (1.5508) Prec@1 72.656 (63.035) Prec@5 85.156 (85.304) Test: [310/391] Time 0.101 (0.112) Loss 1.8281 (1.5634) Prec@1 64.062 (62.801) Prec@5 80.469 (85.101) Test: [320/391] Time 0.106 (0.112) Loss 1.1369 (1.5719) Prec@1 73.438 (62.639) Prec@5 92.969 (84.991) Test: [330/391] Time 0.102 (0.112) Loss 2.4894 (1.5958) Prec@1 43.750 (62.153) Prec@5 71.094 (84.649) Test: [340/391] Time 0.104 (0.112) Loss 1.4906 (1.6047) Prec@1 61.719 (61.923) Prec@5 88.281 (84.487) Test: [350/391] Time 0.103 (0.112) Loss 1.4314 (1.6097) Prec@1 71.094 (61.908) Prec@5 86.719 (84.371) Test: [360/391] Time 0.101 (0.112) Loss 1.6314 (1.6186) Prec@1 50.000 (61.704) Prec@5 85.938 (84.273) Test: [370/391] Time 0.102 (0.112) Loss 1.4932 (1.6145) Prec@1 59.375 (61.740) Prec@5 89.844 (84.339) Test: [380/391] Time 0.104 (0.111) Loss 1.1663 (1.6138) Prec@1 73.438 (61.768) Prec@5 92.969 (84.359) Test: [390/391] Time 0.070 (0.111) Loss 2.6703 (1.6063) Prec@1 35.000 (61.936) Prec@5 71.250 (84.442) * Prec@1 61.936 Prec@5 84.442 Epoch: [31][0/10010] Time 2.625 (2.625) Data 2.446 (2.446) Loss 1.9413 (1.9413) Prec@1 59.375 (59.375) Prec@5 77.344 (77.344) Epoch: [31][10/10010] Time 0.322 (0.532) Data 0.000 (0.224) Loss 1.8695 (1.9253) Prec@1 58.594 (56.037) Prec@5 75.781 (77.770) Epoch: [31][20/10010] Time 0.318 (0.432) Data 0.000 (0.118) Loss 1.8378 (1.9383) Prec@1 63.281 (55.990) Prec@5 78.125 (78.199) Epoch: [31][30/10010] Time 0.324 (0.396) Data 0.000 (0.080) Loss 1.7621 (1.9134) Prec@1 60.938 (56.880) Prec@5 78.906 (78.831) Epoch: [31][40/10010] Time 0.323 (0.378) Data 0.000 (0.061) Loss 1.9817 (1.9198) Prec@1 60.156 (56.860) Prec@5 78.906 (78.582) Epoch: [31][50/10010] Time 0.318 (0.367) Data 0.001 (0.049) Loss 2.0273 (1.9186) Prec@1 46.094 (56.556) Prec@5 80.469 (78.784) Epoch: [31][60/10010] Time 0.336 (0.362) Data 0.001 (0.041) Loss 1.9659 (1.9189) Prec@1 60.156 (56.596) Prec@5 78.125 (78.740) Epoch: [31][70/10010] Time 0.324 (0.356) Data 0.000 (0.035) Loss 2.1404 (1.9151) Prec@1 51.562 (56.778) Prec@5 75.000 (78.807) Epoch: [31][80/10010] Time 0.342 (0.353) Data 0.000 (0.031) Loss 2.1725 (1.9206) Prec@1 59.375 (56.790) Prec@5 75.781 (78.752) Epoch: [31][90/10010] Time 0.317 (0.350) Data 0.001 (0.028) Loss 2.0729 (1.9155) Prec@1 50.781 (56.799) Prec@5 72.656 (78.855) Epoch: [31][100/10010] Time 0.341 (0.348) Data 0.001 (0.025) Loss 2.2657 (1.9183) Prec@1 52.344 (56.683) Prec@5 71.875 (78.906) Epoch: [31][110/10010] Time 0.338 (0.347) Data 0.000 (0.023) Loss 1.7597 (1.9131) Prec@1 61.719 (56.834) Prec@5 82.031 (78.956) Epoch: [31][120/10010] Time 0.338 (0.345) Data 0.001 (0.021) Loss 1.6082 (1.9117) Prec@1 67.969 (56.967) Prec@5 83.594 (78.984) Epoch: [31][130/10010] Time 0.321 (0.344) Data 0.001 (0.019) Loss 1.6825 (1.9101) Prec@1 61.719 (56.954) Prec@5 83.594 (79.037) Epoch: [31][140/10010] Time 0.340 (0.343) Data 0.001 (0.018) Loss 1.8217 (1.9097) Prec@1 57.812 (56.948) Prec@5 82.812 (79.023) Epoch: [31][150/10010] Time 0.326 (0.342) Data 0.001 (0.017) Loss 1.9219 (1.9033) Prec@1 64.844 (57.119) Prec@5 80.469 (79.129) Epoch: [31][160/10010] Time 0.342 (0.342) Data 0.001 (0.016) Loss 2.0070 (1.9025) Prec@1 58.594 (57.235) Prec@5 78.125 (79.105) Epoch: [31][170/10010] Time 0.335 (0.341) Data 0.001 (0.015) Loss 1.8570 (1.9028) Prec@1 55.469 (57.251) Prec@5 82.812 (79.162) Epoch: [31][180/10010] Time 0.323 (0.341) Data 0.000 (0.014) Loss 1.8680 (1.9020) Prec@1 58.594 (57.221) Prec@5 85.156 (79.273) Epoch: [31][190/10010] Time 0.333 (0.340) Data 0.001 (0.013) Loss 2.2190 (1.9052) Prec@1 50.000 (57.097) Prec@5 78.906 (79.229) Epoch: [31][200/10010] Time 0.339 (0.339) Data 0.000 (0.013) Loss 1.7366 (1.9014) Prec@1 57.031 (57.152) Prec@5 80.469 (79.299) Epoch: [31][210/10010] Time 0.333 (0.339) Data 0.001 (0.012) Loss 1.8678 (1.8981) Prec@1 54.688 (57.250) Prec@5 80.469 (79.365) Epoch: [31][220/10010] Time 0.326 (0.338) Data 0.000 (0.012) Loss 1.8764 (1.9012) Prec@1 55.469 (57.201) Prec@5 75.000 (79.327) Epoch: [31][230/10010] Time 0.321 (0.338) Data 0.001 (0.011) Loss 1.9860 (1.8980) Prec@1 51.562 (57.217) Prec@5 79.688 (79.380) Epoch: [31][240/10010] Time 0.337 (0.337) Data 0.000 (0.011) Loss 1.7216 (1.8967) Prec@1 57.031 (57.271) Prec@5 80.469 (79.409) Epoch: [31][250/10010] Time 0.333 (0.337) Data 0.001 (0.010) Loss 1.9206 (1.8970) Prec@1 64.062 (57.249) Prec@5 77.344 (79.348) Epoch: [31][260/10010] Time 0.321 (0.337) Data 0.001 (0.010) Loss 2.3130 (1.9022) Prec@1 52.344 (57.148) Prec@5 71.094 (79.241) Epoch: [31][270/10010] Time 0.323 (0.336) Data 0.001 (0.010) Loss 1.8090 (1.9026) Prec@1 56.250 (57.121) Prec@5 82.812 (79.252) Epoch: [31][280/10010] Time 0.327 (0.336) Data 0.001 (0.009) Loss 1.7851 (1.9002) Prec@1 59.375 (57.126) Prec@5 80.469 (79.307) Epoch: [31][290/10010] Time 0.321 (0.336) Data 0.001 (0.009) Loss 2.0389 (1.9033) Prec@1 50.781 (57.104) Prec@5 78.125 (79.290) Epoch: [31][300/10010] Time 0.323 (0.335) Data 0.000 (0.009) Loss 1.6104 (1.9004) Prec@1 62.500 (57.166) Prec@5 84.375 (79.337) Epoch: [31][310/10010] Time 0.338 (0.335) Data 0.000 (0.009) Loss 1.8590 (1.9000) Prec@1 56.250 (57.172) Prec@5 79.688 (79.363) Epoch: [31][320/10010] Time 0.322 (0.335) Data 0.001 (0.008) Loss 2.1021 (1.8991) Prec@1 53.125 (57.219) Prec@5 78.125 (79.388) Epoch: [31][330/10010] Time 0.329 (0.335) Data 0.000 (0.008) Loss 2.0164 (1.9001) Prec@1 57.812 (57.234) Prec@5 82.031 (79.378) Epoch: [31][340/10010] Time 0.321 (0.335) Data 0.001 (0.008) Loss 2.0165 (1.9011) Prec@1 56.250 (57.205) Prec@5 77.344 (79.410) Epoch: [31][350/10010] Time 0.329 (0.335) Data 0.001 (0.008) Loss 1.9025 (1.8993) Prec@1 54.688 (57.240) Prec@5 78.125 (79.432) Epoch: [31][360/10010] Time 0.317 (0.334) Data 0.001 (0.007) Loss 1.7051 (1.8981) Prec@1 60.156 (57.267) Prec@5 82.031 (79.439) Epoch: [31][370/10010] Time 0.332 (0.335) Data 0.000 (0.007) Loss 1.8071 (1.8974) Prec@1 60.156 (57.299) Prec@5 82.812 (79.456) Epoch: [31][380/10010] Time 0.323 (0.334) Data 0.001 (0.007) Loss 1.7751 (1.8980) Prec@1 57.812 (57.273) Prec@5 80.469 (79.437) Epoch: [31][390/10010] Time 0.332 (0.334) Data 0.001 (0.007) Loss 2.0770 (1.8964) Prec@1 57.031 (57.337) Prec@5 76.562 (79.438) Epoch: [31][400/10010] Time 0.325 (0.334) Data 0.001 (0.007) Loss 1.8659 (1.8948) Prec@1 60.938 (57.384) Prec@5 78.906 (79.448) Epoch: [31][410/10010] Time 0.335 (0.334) Data 0.001 (0.007) Loss 1.9277 (1.8936) Prec@1 55.469 (57.394) Prec@5 78.906 (79.446) Epoch: [31][420/10010] Time 0.336 (0.334) Data 0.000 (0.006) Loss 1.5792 (1.8929) Prec@1 65.625 (57.417) Prec@5 85.156 (79.476) Epoch: [31][430/10010] Time 0.341 (0.333) Data 0.000 (0.006) Loss 1.7981 (1.8897) Prec@1 64.062 (57.479) Prec@5 81.250 (79.523) Epoch: [31][440/10010] Time 0.326 (0.334) Data 0.000 (0.006) Loss 1.9689 (1.8904) Prec@1 57.031 (57.460) Prec@5 82.031 (79.484) Epoch: [31][450/10010] Time 0.325 (0.334) Data 0.001 (0.006) Loss 1.9471 (1.8908) Prec@1 57.031 (57.447) Prec@5 80.469 (79.495) Epoch: [31][460/10010] Time 0.336 (0.334) Data 0.001 (0.006) Loss 1.5681 (1.8905) Prec@1 62.500 (57.421) Prec@5 85.156 (79.503) Epoch: [31][470/10010] Time 0.340 (0.334) Data 0.000 (0.006) Loss 1.7953 (1.8901) Prec@1 58.594 (57.461) Prec@5 79.688 (79.527) Epoch: [31][480/10010] Time 0.328 (0.333) Data 0.001 (0.006) Loss 1.9610 (1.8898) Prec@1 54.688 (57.455) Prec@5 78.125 (79.527) Epoch: [31][490/10010] Time 0.317 (0.333) Data 0.001 (0.006) Loss 1.7839 (1.8894) Prec@1 60.156 (57.453) Prec@5 78.906 (79.538) Epoch: [31][500/10010] Time 0.337 (0.333) Data 0.001 (0.006) Loss 1.7268 (1.8892) Prec@1 55.469 (57.444) Prec@5 83.594 (79.535) Epoch: [31][510/10010] Time 0.341 (0.333) Data 0.000 (0.005) Loss 2.1425 (1.8900) Prec@1 50.000 (57.392) Prec@5 78.906 (79.509) Epoch: [31][520/10010] Time 0.320 (0.333) Data 0.001 (0.005) Loss 1.7950 (1.8882) Prec@1 56.250 (57.451) Prec@5 81.250 (79.544) Epoch: [31][530/10010] Time 0.340 (0.333) Data 0.000 (0.005) Loss 1.7708 (1.8886) Prec@1 56.250 (57.426) Prec@5 81.250 (79.529) Epoch: [31][540/10010] Time 0.326 (0.333) Data 0.001 (0.005) Loss 2.0583 (1.8883) Prec@1 56.250 (57.443) Prec@5 78.125 (79.530) Epoch: [31][550/10010] Time 0.338 (0.333) Data 0.000 (0.005) Loss 1.5357 (1.8871) Prec@1 62.500 (57.469) Prec@5 85.156 (79.567) Epoch: [31][560/10010] Time 0.344 (0.333) Data 0.001 (0.005) Loss 1.7842 (1.8870) Prec@1 63.281 (57.482) Prec@5 81.250 (79.590) Epoch: [31][570/10010] Time 0.329 (0.333) Data 0.001 (0.005) Loss 1.6370 (1.8867) Prec@1 60.938 (57.487) Prec@5 82.812 (79.608) Epoch: [31][580/10010] Time 0.343 (0.333) Data 0.001 (0.005) Loss 1.8226 (1.8868) Prec@1 58.594 (57.486) Prec@5 84.375 (79.614) Epoch: [31][590/10010] Time 0.320 (0.333) Data 0.000 (0.005) Loss 1.8233 (1.8884) Prec@1 63.281 (57.475) Prec@5 81.250 (79.590) Epoch: [31][600/10010] Time 0.345 (0.333) Data 0.000 (0.005) Loss 1.7512 (1.8885) Prec@1 60.938 (57.473) Prec@5 78.906 (79.568) Epoch: [31][610/10010] Time 0.334 (0.333) Data 0.001 (0.005) Loss 1.9453 (1.8896) Prec@1 57.031 (57.477) Prec@5 78.906 (79.543) Epoch: [31][620/10010] Time 0.329 (0.333) Data 0.000 (0.005) Loss 1.4499 (1.8883) Prec@1 69.531 (57.509) Prec@5 86.719 (79.573) Epoch: [31][630/10010] Time 0.324 (0.333) Data 0.001 (0.005) Loss 1.8129 (1.8872) Prec@1 57.031 (57.534) Prec@5 82.031 (79.609) Epoch: [31][640/10010] Time 0.324 (0.333) Data 0.000 (0.004) Loss 2.1779 (1.8886) Prec@1 53.125 (57.502) Prec@5 75.781 (79.590) Epoch: [31][650/10010] Time 0.321 (0.333) Data 0.001 (0.004) Loss 1.9297 (1.8883) Prec@1 57.031 (57.494) Prec@5 78.906 (79.595) Epoch: [31][660/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 1.9762 (1.8890) Prec@1 53.906 (57.493) Prec@5 79.688 (79.582) Epoch: [31][670/10010] Time 0.334 (0.333) Data 0.001 (0.004) Loss 1.9502 (1.8908) Prec@1 50.000 (57.448) Prec@5 81.250 (79.566) Epoch: [31][680/10010] Time 0.342 (0.333) Data 0.001 (0.004) Loss 2.3175 (1.8938) Prec@1 51.562 (57.398) Prec@5 73.438 (79.509) Epoch: [31][690/10010] Time 0.321 (0.333) Data 0.001 (0.004) Loss 1.8159 (1.8943) Prec@1 54.688 (57.399) Prec@5 82.031 (79.496) Epoch: [31][700/10010] Time 0.321 (0.333) Data 0.001 (0.004) Loss 2.0347 (1.8957) Prec@1 51.562 (57.361) Prec@5 78.906 (79.486) Epoch: [31][710/10010] Time 0.332 (0.333) Data 0.000 (0.004) Loss 2.0327 (1.8981) Prec@1 53.906 (57.332) Prec@5 75.781 (79.434) Epoch: [31][720/10010] Time 0.315 (0.333) Data 0.001 (0.004) Loss 2.0826 (1.8995) Prec@1 57.812 (57.300) Prec@5 75.000 (79.400) Epoch: [31][730/10010] Time 0.335 (0.333) Data 0.001 (0.004) Loss 1.7972 (1.8995) Prec@1 63.281 (57.306) Prec@5 78.906 (79.399) Epoch: [31][740/10010] Time 0.344 (0.333) Data 0.001 (0.004) Loss 2.0364 (1.8991) Prec@1 51.562 (57.309) Prec@5 78.125 (79.410) Epoch: [31][750/10010] Time 0.329 (0.333) Data 0.000 (0.004) Loss 1.7959 (1.8997) Prec@1 56.250 (57.309) Prec@5 82.812 (79.400) Epoch: [31][760/10010] Time 0.341 (0.333) Data 0.000 (0.004) Loss 1.9933 (1.9002) Prec@1 53.125 (57.295) Prec@5 80.469 (79.398) Epoch: [31][770/10010] Time 0.333 (0.333) Data 0.001 (0.004) Loss 2.1347 (1.9003) Prec@1 57.031 (57.303) Prec@5 71.094 (79.369) Epoch: [31][780/10010] Time 0.322 (0.333) Data 0.000 (0.004) Loss 1.9421 (1.9002) Prec@1 58.594 (57.310) Prec@5 77.344 (79.367) Epoch: [31][790/10010] Time 0.348 (0.333) Data 0.001 (0.004) Loss 2.5069 (1.9006) Prec@1 47.656 (57.308) Prec@5 67.188 (79.368) Epoch: [31][800/10010] Time 0.326 (0.333) Data 0.001 (0.004) Loss 1.5840 (1.8993) Prec@1 59.375 (57.323) Prec@5 85.938 (79.394) Epoch: [31][810/10010] Time 0.333 (0.333) Data 0.000 (0.004) Loss 1.9692 (1.9005) Prec@1 55.469 (57.306) Prec@5 75.781 (79.376) Epoch: [31][820/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 2.1730 (1.9013) Prec@1 54.688 (57.294) Prec@5 76.562 (79.376) Epoch: [31][830/10010] Time 0.333 (0.333) Data 0.000 (0.004) Loss 1.7351 (1.8999) Prec@1 60.156 (57.321) Prec@5 79.688 (79.389) Epoch: [31][840/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 1.9888 (1.8997) Prec@1 56.250 (57.326) Prec@5 77.344 (79.400) Epoch: [31][850/10010] Time 0.323 (0.333) Data 0.001 (0.004) Loss 2.0905 (1.8998) Prec@1 55.469 (57.329) Prec@5 77.344 (79.398) Epoch: [31][860/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 2.0463 (1.8997) Prec@1 55.469 (57.329) Prec@5 75.000 (79.392) Epoch: [31][870/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 1.9522 (1.9005) Prec@1 54.688 (57.295) Prec@5 82.812 (79.388) Epoch: [31][880/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 1.8119 (1.9020) Prec@1 57.812 (57.257) Prec@5 80.469 (79.374) Epoch: [31][890/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 1.8036 (1.9027) Prec@1 54.688 (57.234) Prec@5 81.250 (79.362) Epoch: [31][900/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 1.7344 (1.9031) Prec@1 61.719 (57.238) Prec@5 80.469 (79.360) Epoch: [31][910/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 1.9797 (1.9045) Prec@1 55.469 (57.202) Prec@5 78.125 (79.326) Epoch: [31][920/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 2.0771 (1.9055) Prec@1 61.719 (57.190) Prec@5 74.219 (79.308) Epoch: [31][930/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 1.7271 (1.9055) Prec@1 57.031 (57.186) Prec@5 82.812 (79.317) Epoch: [31][940/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.0651 (1.9062) Prec@1 53.906 (57.161) Prec@5 76.562 (79.302) Epoch: [31][950/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 2.0897 (1.9069) Prec@1 52.344 (57.131) Prec@5 75.781 (79.287) Epoch: [31][960/10010] Time 0.316 (0.332) Data 0.000 (0.003) Loss 1.8332 (1.9067) Prec@1 59.375 (57.126) Prec@5 78.125 (79.280) Epoch: [31][970/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.0239 (1.9081) Prec@1 54.688 (57.123) Prec@5 77.344 (79.255) Epoch: [31][980/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 1.6275 (1.9089) Prec@1 57.031 (57.108) Prec@5 81.250 (79.251) Epoch: [31][990/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 2.1547 (1.9085) Prec@1 53.906 (57.111) Prec@5 77.344 (79.262) Epoch: [31][1000/10010] Time 0.346 (0.332) Data 0.000 (0.003) Loss 1.9817 (1.9093) Prec@1 50.781 (57.090) Prec@5 76.562 (79.247) Epoch: [31][1010/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 2.2618 (1.9090) Prec@1 53.125 (57.095) Prec@5 76.562 (79.259) Epoch: [31][1020/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 1.6039 (1.9086) Prec@1 60.938 (57.100) Prec@5 86.719 (79.273) Epoch: [31][1030/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 2.0279 (1.9083) Prec@1 58.594 (57.097) Prec@5 74.219 (79.277) Epoch: [31][1040/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 1.7620 (1.9080) Prec@1 58.594 (57.092) Prec@5 77.344 (79.275) Epoch: [31][1050/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 2.0008 (1.9085) Prec@1 57.812 (57.077) Prec@5 81.250 (79.272) Epoch: [31][1060/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 1.8901 (1.9082) Prec@1 59.375 (57.096) Prec@5 78.125 (79.291) Epoch: [31][1070/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 2.0430 (1.9079) Prec@1 52.344 (57.106) Prec@5 78.906 (79.303) Epoch: [31][1080/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 1.9483 (1.9085) Prec@1 64.844 (57.107) Prec@5 79.688 (79.296) Epoch: [31][1090/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 2.2342 (1.9086) Prec@1 53.906 (57.111) Prec@5 76.562 (79.299) Epoch: [31][1100/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 1.7841 (1.9085) Prec@1 58.594 (57.099) Prec@5 80.469 (79.306) Epoch: [31][1110/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 2.0098 (1.9086) Prec@1 53.906 (57.106) Prec@5 78.906 (79.301) Epoch: [31][1120/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 1.7423 (1.9074) Prec@1 57.812 (57.129) Prec@5 86.719 (79.331) Epoch: [31][1130/10010] Time 0.341 (0.332) Data 0.001 (0.003) Loss 1.6613 (1.9070) Prec@1 64.844 (57.155) Prec@5 83.594 (79.337) Epoch: [31][1140/10010] Time 0.314 (0.332) Data 0.001 (0.003) Loss 1.7783 (1.9067) Prec@1 60.156 (57.166) Prec@5 81.250 (79.336) Epoch: [31][1150/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 2.0724 (1.9069) Prec@1 53.906 (57.159) Prec@5 78.125 (79.331) Epoch: [31][1160/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 1.7679 (1.9066) Prec@1 58.594 (57.153) Prec@5 78.906 (79.330) Epoch: [31][1170/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 1.8868 (1.9057) Prec@1 59.375 (57.175) Prec@5 78.906 (79.345) Epoch: [31][1180/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 1.6415 (1.9045) Prec@1 61.719 (57.202) Prec@5 85.156 (79.362) Epoch: [31][1190/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 1.8261 (1.9044) Prec@1 60.938 (57.210) Prec@5 78.906 (79.352) Epoch: [31][1200/10010] Time 0.344 (0.332) Data 0.001 (0.003) Loss 1.9275 (1.9037) Prec@1 58.594 (57.221) Prec@5 79.688 (79.367) Epoch: [31][1210/10010] Time 0.347 (0.332) Data 0.000 (0.003) Loss 1.7535 (1.9043) Prec@1 59.375 (57.207) Prec@5 80.469 (79.356) Epoch: [31][1220/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 2.0346 (1.9041) Prec@1 57.031 (57.205) Prec@5 76.562 (79.358) Epoch: [31][1230/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 2.0449 (1.9042) Prec@1 59.375 (57.205) Prec@5 75.781 (79.352) Epoch: [31][1240/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.0838 (1.9042) Prec@1 54.688 (57.207) Prec@5 79.688 (79.363) Epoch: [31][1250/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 1.8847 (1.9039) Prec@1 63.281 (57.212) Prec@5 82.812 (79.376) Epoch: [31][1260/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.8913 (1.9041) Prec@1 60.938 (57.215) Prec@5 79.688 (79.369) Epoch: [31][1270/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.4901 (1.9030) Prec@1 63.281 (57.240) Prec@5 88.281 (79.384) Epoch: [31][1280/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.8019 (1.9033) Prec@1 61.719 (57.237) Prec@5 78.125 (79.375) Epoch: [31][1290/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.8065 (1.9031) Prec@1 59.375 (57.244) Prec@5 81.250 (79.376) Epoch: [31][1300/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 2.0471 (1.9033) Prec@1 54.688 (57.229) Prec@5 80.469 (79.380) Epoch: [31][1310/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.5149 (1.9024) Prec@1 67.188 (57.253) Prec@5 84.375 (79.390) Epoch: [31][1320/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7576 (1.9026) Prec@1 61.719 (57.254) Prec@5 82.031 (79.392) Epoch: [31][1330/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7693 (1.9019) Prec@1 60.156 (57.270) Prec@5 83.594 (79.401) Epoch: [31][1340/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.7757 (1.9013) Prec@1 64.844 (57.272) Prec@5 79.688 (79.412) Epoch: [31][1350/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.0677 (1.9017) Prec@1 57.031 (57.265) Prec@5 81.250 (79.414) Epoch: [31][1360/10010] Time 0.308 (0.331) Data 0.000 (0.002) Loss 1.9930 (1.9014) Prec@1 57.812 (57.267) Prec@5 79.688 (79.415) Epoch: [31][1370/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.8923 (1.9007) Prec@1 54.688 (57.272) Prec@5 78.906 (79.425) Epoch: [31][1380/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.2445 (1.9016) Prec@1 46.875 (57.244) Prec@5 75.000 (79.413) Epoch: [31][1390/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.4081 (1.9026) Prec@1 50.000 (57.235) Prec@5 72.656 (79.395) Epoch: [31][1400/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 1.8249 (1.9021) Prec@1 56.250 (57.235) Prec@5 78.906 (79.398) Epoch: [31][1410/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.1180 (1.9020) Prec@1 53.125 (57.241) Prec@5 74.219 (79.397) Epoch: [31][1420/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.1424 (1.9026) Prec@1 51.562 (57.229) Prec@5 73.438 (79.401) Epoch: [31][1430/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.8634 (1.9028) Prec@1 55.469 (57.219) Prec@5 82.812 (79.392) Epoch: [31][1440/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 1.9632 (1.9035) Prec@1 59.375 (57.212) Prec@5 80.469 (79.387) Epoch: [31][1450/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.0431 (1.9037) Prec@1 55.469 (57.214) Prec@5 78.125 (79.386) Epoch: [31][1460/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.1216 (1.9038) Prec@1 49.219 (57.204) Prec@5 77.344 (79.381) Epoch: [31][1470/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.0351 (1.9039) Prec@1 60.938 (57.211) Prec@5 73.438 (79.374) Epoch: [31][1480/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.4152 (1.9040) Prec@1 50.000 (57.210) Prec@5 70.312 (79.379) Epoch: [31][1490/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.9307 (1.9047) Prec@1 62.500 (57.200) Prec@5 78.906 (79.366) Epoch: [31][1500/10010] Time 0.347 (0.331) Data 0.000 (0.002) Loss 2.0413 (1.9054) Prec@1 53.125 (57.180) Prec@5 75.000 (79.363) Epoch: [31][1510/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.9347 (1.9057) Prec@1 53.906 (57.161) Prec@5 77.344 (79.358) Epoch: [31][1520/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 1.7400 (1.9059) Prec@1 63.281 (57.166) Prec@5 81.250 (79.358) Epoch: [31][1530/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.6770 (1.9053) Prec@1 62.500 (57.179) Prec@5 82.031 (79.369) Epoch: [31][1540/10010] Time 0.346 (0.331) Data 0.000 (0.002) Loss 2.0618 (1.9053) Prec@1 53.125 (57.176) Prec@5 75.781 (79.363) Epoch: [31][1550/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.5401 (1.9049) Prec@1 64.844 (57.186) Prec@5 82.812 (79.371) Epoch: [31][1560/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.2107 (1.9049) Prec@1 48.438 (57.182) Prec@5 71.875 (79.373) Epoch: [31][1570/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.7510 (1.9048) Prec@1 58.594 (57.184) Prec@5 82.031 (79.378) Epoch: [31][1580/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.1028 (1.9052) Prec@1 49.219 (57.174) Prec@5 75.000 (79.365) Epoch: [31][1590/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.0508 (1.9055) Prec@1 55.469 (57.168) Prec@5 75.781 (79.365) Epoch: [31][1600/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.8278 (1.9051) Prec@1 54.688 (57.171) Prec@5 78.906 (79.366) Epoch: [31][1610/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 2.0150 (1.9048) Prec@1 57.812 (57.173) Prec@5 77.344 (79.365) Epoch: [31][1620/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.6437 (1.9042) Prec@1 60.156 (57.191) Prec@5 81.250 (79.378) Epoch: [31][1630/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 1.8303 (1.9036) Prec@1 60.938 (57.203) Prec@5 78.125 (79.380) Epoch: [31][1640/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.9929 (1.9030) Prec@1 55.469 (57.212) Prec@5 75.781 (79.387) Epoch: [31][1650/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.2604 (1.9033) Prec@1 51.562 (57.213) Prec@5 78.125 (79.379) Epoch: [31][1660/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.0115 (1.9040) Prec@1 59.375 (57.196) Prec@5 78.125 (79.370) Epoch: [31][1670/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.0744 (1.9037) Prec@1 55.469 (57.200) Prec@5 79.688 (79.382) Epoch: [31][1680/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.9093 (1.9032) Prec@1 51.562 (57.202) Prec@5 81.250 (79.397) Epoch: [31][1690/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.1105 (1.9037) Prec@1 53.125 (57.191) Prec@5 78.125 (79.396) Epoch: [31][1700/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.8761 (1.9040) Prec@1 63.281 (57.189) Prec@5 78.906 (79.386) Epoch: [31][1710/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.9214 (1.9041) Prec@1 53.125 (57.189) Prec@5 81.250 (79.379) Epoch: [31][1720/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.0519 (1.9039) Prec@1 52.344 (57.197) Prec@5 79.688 (79.377) Epoch: [31][1730/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.8307 (1.9040) Prec@1 59.375 (57.196) Prec@5 80.469 (79.374) Epoch: [31][1740/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.8430 (1.9037) Prec@1 56.250 (57.206) Prec@5 78.125 (79.383) Epoch: [31][1750/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.1892 (1.9037) Prec@1 50.000 (57.204) Prec@5 74.219 (79.382) Epoch: [31][1760/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.8801 (1.9033) Prec@1 58.594 (57.204) Prec@5 75.781 (79.385) Epoch: [31][1770/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.5450 (1.9029) Prec@1 62.500 (57.214) Prec@5 88.281 (79.395) Epoch: [31][1780/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.9176 (1.9037) Prec@1 60.156 (57.202) Prec@5 78.125 (79.389) Epoch: [31][1790/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.0416 (1.9035) Prec@1 56.250 (57.200) Prec@5 77.344 (79.394) Epoch: [31][1800/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.7536 (1.9027) Prec@1 57.812 (57.218) Prec@5 83.594 (79.396) Epoch: [31][1810/10010] Time 0.345 (0.331) Data 0.001 (0.002) Loss 2.0886 (1.9024) Prec@1 53.125 (57.229) Prec@5 75.000 (79.394) Epoch: [31][1820/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.2144 (1.9030) Prec@1 55.469 (57.216) Prec@5 76.562 (79.380) Epoch: [31][1830/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 1.6402 (1.9021) Prec@1 64.844 (57.234) Prec@5 85.938 (79.391) Epoch: [31][1840/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.1831 (1.9021) Prec@1 53.906 (57.227) Prec@5 75.781 (79.384) Epoch: [31][1850/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.7656 (1.9022) Prec@1 60.156 (57.231) Prec@5 79.688 (79.383) Epoch: [31][1860/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.9214 (1.9018) Prec@1 52.344 (57.234) Prec@5 79.688 (79.392) Epoch: [31][1870/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.1032 (1.9012) Prec@1 57.812 (57.247) Prec@5 75.000 (79.404) Epoch: [31][1880/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.5944 (1.9005) Prec@1 70.312 (57.259) Prec@5 81.250 (79.412) Epoch: [31][1890/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.9904 (1.9005) Prec@1 54.688 (57.265) Prec@5 76.562 (79.409) Epoch: [31][1900/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.7365 (1.9000) Prec@1 56.250 (57.275) Prec@5 77.344 (79.411) Epoch: [31][1910/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 1.6937 (1.8997) Prec@1 63.281 (57.277) Prec@5 81.250 (79.413) Epoch: [31][1920/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 1.6121 (1.8993) Prec@1 60.156 (57.279) Prec@5 85.156 (79.417) Epoch: [31][1930/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.0474 (1.8992) Prec@1 53.906 (57.277) Prec@5 78.125 (79.416) Epoch: [31][1940/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.2665 (1.9000) Prec@1 51.562 (57.261) Prec@5 71.094 (79.401) Epoch: [31][1950/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.4590 (1.8997) Prec@1 62.500 (57.270) Prec@5 88.281 (79.410) Epoch: [31][1960/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.6075 (1.8992) Prec@1 64.844 (57.277) Prec@5 83.594 (79.419) Epoch: [31][1970/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 1.7877 (1.8992) Prec@1 64.062 (57.277) Prec@5 81.250 (79.422) Epoch: [31][1980/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.6146 (1.8990) Prec@1 59.375 (57.279) Prec@5 84.375 (79.429) Epoch: [31][1990/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.8847 (1.8989) Prec@1 58.594 (57.279) Prec@5 80.469 (79.430) Epoch: [31][2000/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.7543 (1.8986) Prec@1 60.156 (57.280) Prec@5 82.812 (79.434) Epoch: [31][2010/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.7413 (1.8985) Prec@1 61.719 (57.284) Prec@5 81.250 (79.437) Epoch: [31][2020/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.7813 (1.8984) Prec@1 57.812 (57.279) Prec@5 81.250 (79.440) Epoch: [31][2030/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.2704 (1.8983) Prec@1 52.344 (57.282) Prec@5 76.562 (79.445) Epoch: [31][2040/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.8191 (1.8981) Prec@1 53.906 (57.282) Prec@5 82.031 (79.448) Epoch: [31][2050/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.8109 (1.8975) Prec@1 56.250 (57.285) Prec@5 81.250 (79.456) Epoch: [31][2060/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.7563 (1.8974) Prec@1 57.031 (57.287) Prec@5 78.125 (79.457) Epoch: [31][2070/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.0196 (1.8977) Prec@1 61.719 (57.286) Prec@5 78.125 (79.454) Epoch: [31][2080/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.6114 (1.8977) Prec@1 64.062 (57.286) Prec@5 82.812 (79.448) Epoch: [31][2090/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.0489 (1.8981) Prec@1 52.344 (57.277) Prec@5 76.562 (79.444) Epoch: [31][2100/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.5302 (1.8977) Prec@1 68.750 (57.280) Prec@5 85.156 (79.447) Epoch: [31][2110/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.7779 (1.8978) Prec@1 57.031 (57.284) Prec@5 85.938 (79.449) Epoch: [31][2120/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.5114 (1.8973) Prec@1 64.844 (57.294) Prec@5 84.375 (79.454) Epoch: [31][2130/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.1866 (1.8972) Prec@1 55.469 (57.295) Prec@5 70.312 (79.462) Epoch: [31][2140/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.7966 (1.8970) Prec@1 60.938 (57.299) Prec@5 83.594 (79.466) Epoch: [31][2150/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.7440 (1.8971) Prec@1 62.500 (57.301) Prec@5 82.031 (79.465) Epoch: [31][2160/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.8750 (1.8972) Prec@1 56.250 (57.294) Prec@5 78.125 (79.463) Epoch: [31][2170/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.7629 (1.8976) Prec@1 57.812 (57.290) Prec@5 81.250 (79.449) Epoch: [31][2180/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 1.9320 (1.8977) Prec@1 57.031 (57.291) Prec@5 80.469 (79.444) Epoch: [31][2190/10010] Time 0.349 (0.331) Data 0.001 (0.002) Loss 2.0216 (1.8978) Prec@1 54.688 (57.283) Prec@5 75.000 (79.436) Epoch: [31][2200/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.6521 (1.8976) Prec@1 60.156 (57.288) Prec@5 83.594 (79.434) Epoch: [31][2210/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.9805 (1.8977) Prec@1 56.250 (57.287) Prec@5 78.906 (79.435) Epoch: [31][2220/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.0525 (1.8978) Prec@1 54.688 (57.286) Prec@5 76.562 (79.434) Epoch: [31][2230/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.1158 (1.8980) Prec@1 49.219 (57.284) Prec@5 75.000 (79.433) Epoch: [31][2240/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.4885 (1.8973) Prec@1 64.062 (57.296) Prec@5 85.938 (79.443) Epoch: [31][2250/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.8157 (1.8973) Prec@1 58.594 (57.293) Prec@5 82.031 (79.441) Epoch: [31][2260/10010] Time 0.327 (0.330) Data 0.000 (0.002) Loss 1.6165 (1.8975) Prec@1 60.938 (57.283) Prec@5 82.812 (79.433) Epoch: [31][2270/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.5854 (1.8975) Prec@1 57.812 (57.282) Prec@5 85.156 (79.432) Epoch: [31][2280/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 1.7960 (1.8973) Prec@1 54.688 (57.278) Prec@5 79.688 (79.436) Epoch: [31][2290/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.0240 (1.8972) Prec@1 50.781 (57.273) Prec@5 76.562 (79.436) Epoch: [31][2300/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.7122 (1.8972) Prec@1 60.938 (57.275) Prec@5 82.031 (79.437) Epoch: [31][2310/10010] Time 0.319 (0.330) Data 0.001 (0.002) Loss 1.9082 (1.8976) Prec@1 57.812 (57.269) Prec@5 80.469 (79.432) Epoch: [31][2320/10010] Time 0.338 (0.330) Data 0.001 (0.002) Loss 1.7045 (1.8978) Prec@1 64.844 (57.264) Prec@5 85.156 (79.428) Epoch: [31][2330/10010] Time 0.334 (0.330) Data 0.000 (0.002) Loss 1.8313 (1.8981) Prec@1 57.812 (57.258) Prec@5 78.906 (79.429) Epoch: [31][2340/10010] Time 0.337 (0.330) Data 0.000 (0.002) Loss 1.8209 (1.8979) Prec@1 57.031 (57.266) Prec@5 78.906 (79.434) Epoch: [31][2350/10010] Time 0.328 (0.330) Data 0.000 (0.002) Loss 1.9233 (1.8979) Prec@1 54.688 (57.269) Prec@5 79.688 (79.432) Epoch: [31][2360/10010] Time 0.321 (0.330) Data 0.001 (0.002) Loss 2.1019 (1.8979) Prec@1 50.000 (57.267) Prec@5 71.875 (79.434) Epoch: [31][2370/10010] Time 0.335 (0.330) Data 0.001 (0.002) Loss 1.9569 (1.8977) Prec@1 55.469 (57.265) Prec@5 78.125 (79.440) Epoch: [31][2380/10010] Time 0.343 (0.330) Data 0.000 (0.002) Loss 1.6649 (1.8974) Prec@1 62.500 (57.276) Prec@5 85.156 (79.445) Epoch: [31][2390/10010] Time 0.337 (0.330) Data 0.001 (0.002) Loss 2.0933 (1.8973) Prec@1 52.344 (57.277) Prec@5 78.906 (79.446) Epoch: [31][2400/10010] Time 0.341 (0.330) Data 0.001 (0.002) Loss 1.9221 (1.8969) Prec@1 58.594 (57.287) Prec@5 75.000 (79.448) Epoch: [31][2410/10010] Time 0.326 (0.330) Data 0.000 (0.002) Loss 1.8102 (1.8970) Prec@1 60.938 (57.281) Prec@5 78.906 (79.447) Epoch: [31][2420/10010] Time 0.322 (0.330) Data 0.001 (0.002) Loss 2.0490 (1.8966) Prec@1 56.250 (57.286) Prec@5 75.000 (79.450) Epoch: [31][2430/10010] Time 0.336 (0.330) Data 0.001 (0.002) Loss 1.8041 (1.8966) Prec@1 59.375 (57.289) Prec@5 81.250 (79.445) Epoch: [31][2440/10010] Time 0.320 (0.330) Data 0.000 (0.002) Loss 1.7221 (1.8969) Prec@1 60.938 (57.281) Prec@5 82.031 (79.438) Epoch: [31][2450/10010] Time 0.309 (0.330) Data 0.000 (0.002) Loss 1.7578 (1.8969) Prec@1 60.938 (57.285) Prec@5 81.250 (79.440) Epoch: [31][2460/10010] Time 0.323 (0.330) Data 0.001 (0.002) Loss 2.0384 (1.8968) Prec@1 51.562 (57.286) Prec@5 76.562 (79.441) Epoch: [31][2470/10010] Time 0.331 (0.330) Data 0.000 (0.002) Loss 1.9945 (1.8969) Prec@1 53.906 (57.279) Prec@5 75.000 (79.439) Epoch: [31][2480/10010] Time 0.328 (0.330) Data 0.000 (0.002) Loss 1.8748 (1.8972) Prec@1 62.500 (57.271) Prec@5 79.688 (79.434) Epoch: [31][2490/10010] Time 0.318 (0.330) Data 0.000 (0.002) Loss 1.7632 (1.8974) Prec@1 57.031 (57.262) Prec@5 84.375 (79.431) Epoch: [31][2500/10010] Time 0.323 (0.330) Data 0.001 (0.002) Loss 1.9795 (1.8974) Prec@1 52.344 (57.262) Prec@5 76.562 (79.431) Epoch: [31][2510/10010] Time 0.335 (0.330) Data 0.001 (0.002) Loss 1.7809 (1.8974) Prec@1 61.719 (57.264) Prec@5 81.250 (79.431) Epoch: [31][2520/10010] Time 0.339 (0.330) Data 0.001 (0.002) Loss 1.8153 (1.8969) Prec@1 57.812 (57.274) Prec@5 82.812 (79.443) Epoch: [31][2530/10010] Time 0.338 (0.330) Data 0.001 (0.002) Loss 2.1160 (1.8972) Prec@1 53.125 (57.266) Prec@5 76.562 (79.438) Epoch: [31][2540/10010] Time 0.334 (0.330) Data 0.001 (0.002) Loss 2.0158 (1.8973) Prec@1 55.469 (57.260) Prec@5 78.906 (79.437) Epoch: [31][2550/10010] Time 0.329 (0.330) Data 0.001 (0.002) Loss 1.8131 (1.8971) Prec@1 57.031 (57.262) Prec@5 78.906 (79.439) Epoch: [31][2560/10010] Time 0.340 (0.330) Data 0.001 (0.002) Loss 1.7996 (1.8972) Prec@1 58.594 (57.259) Prec@5 82.031 (79.439) Epoch: [31][2570/10010] Time 0.330 (0.330) Data 0.001 (0.002) Loss 1.8972 (1.8971) Prec@1 54.688 (57.256) Prec@5 78.906 (79.437) Epoch: [31][2580/10010] Time 0.331 (0.330) Data 0.001 (0.002) Loss 1.8348 (1.8972) Prec@1 53.906 (57.249) Prec@5 81.250 (79.433) Epoch: [31][2590/10010] Time 0.338 (0.330) Data 0.001 (0.002) Loss 1.5544 (1.8969) Prec@1 67.969 (57.254) Prec@5 81.250 (79.440) Epoch: [31][2600/10010] Time 0.323 (0.330) Data 0.000 (0.002) Loss 2.0228 (1.8974) Prec@1 58.594 (57.248) Prec@5 80.469 (79.434) Epoch: [31][2610/10010] Time 0.334 (0.330) Data 0.000 (0.002) Loss 2.1198 (1.8976) Prec@1 56.250 (57.242) Prec@5 72.656 (79.427) Epoch: [31][2620/10010] Time 0.336 (0.330) Data 0.000 (0.002) Loss 2.2641 (1.8980) Prec@1 49.219 (57.239) Prec@5 73.438 (79.420) Epoch: [31][2630/10010] Time 0.327 (0.330) Data 0.001 (0.002) Loss 1.8646 (1.8980) Prec@1 61.719 (57.238) Prec@5 77.344 (79.421) Epoch: [31][2640/10010] Time 0.340 (0.330) Data 0.000 (0.002) Loss 2.2609 (1.8980) Prec@1 51.562 (57.238) Prec@5 74.219 (79.420) Epoch: [31][2650/10010] Time 0.340 (0.330) Data 0.001 (0.002) Loss 1.8746 (1.8978) Prec@1 59.375 (57.244) Prec@5 83.594 (79.425) Epoch: [31][2660/10010] Time 0.329 (0.330) Data 0.001 (0.002) Loss 1.6970 (1.8980) Prec@1 64.062 (57.240) Prec@5 81.250 (79.420) /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: [31][2670/10010] Time 0.325 (0.330) Data 0.000 (0.002) Loss 1.8019 (1.8982) Prec@1 57.812 (57.235) Prec@5 79.688 (79.415) Epoch: [31][2680/10010] Time 0.342 (0.330) Data 0.001 (0.002) Loss 1.7855 (1.8986) Prec@1 59.375 (57.231) Prec@5 79.688 (79.405) Epoch: [31][2690/10010] Time 0.321 (0.330) Data 0.000 (0.002) Loss 1.9615 (1.8985) Prec@1 60.156 (57.236) Prec@5 76.562 (79.409) Epoch: [31][2700/10010] Time 0.330 (0.330) Data 0.001 (0.002) Loss 1.6713 (1.8985) Prec@1 60.938 (57.241) Prec@5 82.031 (79.407) Epoch: [31][2710/10010] Time 0.340 (0.330) Data 0.001 (0.002) Loss 1.7866 (1.8984) Prec@1 62.500 (57.244) Prec@5 80.469 (79.408) Epoch: [31][2720/10010] Time 0.325 (0.330) Data 0.001 (0.002) Loss 1.8678 (1.8979) Prec@1 54.688 (57.250) Prec@5 78.906 (79.414) Epoch: [31][2730/10010] Time 0.324 (0.330) Data 0.001 (0.002) Loss 1.7418 (1.8979) Prec@1 57.812 (57.256) Prec@5 82.812 (79.415) Epoch: [31][2740/10010] Time 0.341 (0.330) Data 0.001 (0.002) Loss 1.9991 (1.8976) Prec@1 53.125 (57.265) Prec@5 78.125 (79.417) Epoch: [31][2750/10010] Time 0.316 (0.330) Data 0.000 (0.002) Loss 1.9155 (1.8982) Prec@1 58.594 (57.254) Prec@5 76.562 (79.408) Epoch: [31][2760/10010] Time 0.341 (0.330) Data 0.000 (0.002) Loss 1.8789 (1.8982) Prec@1 58.594 (57.258) Prec@5 78.906 (79.409) Epoch: [31][2770/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5977 (1.8980) Prec@1 61.719 (57.261) Prec@5 82.812 (79.408) Epoch: [31][2780/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.6487 (1.8979) Prec@1 60.938 (57.266) Prec@5 82.812 (79.408) Epoch: [31][2790/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 2.2138 (1.8979) Prec@1 46.094 (57.263) Prec@5 75.000 (79.409) Epoch: [31][2800/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.9126 (1.8979) Prec@1 55.469 (57.261) Prec@5 80.469 (79.410) Epoch: [31][2810/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.9321 (1.8976) Prec@1 52.344 (57.267) Prec@5 75.781 (79.413) Epoch: [31][2820/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.8740 (1.8974) Prec@1 59.375 (57.269) Prec@5 80.469 (79.415) Epoch: [31][2830/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.1756 (1.8976) Prec@1 53.125 (57.273) Prec@5 75.000 (79.411) Epoch: [31][2840/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.7510 (1.8978) Prec@1 60.938 (57.268) Prec@5 82.031 (79.407) Epoch: [31][2850/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.5849 (1.8977) Prec@1 67.969 (57.266) Prec@5 80.469 (79.409) Epoch: [31][2860/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.6999 (1.8975) Prec@1 55.469 (57.270) Prec@5 81.250 (79.413) Epoch: [31][2870/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.0166 (1.8975) Prec@1 54.688 (57.267) Prec@5 77.344 (79.413) Epoch: [31][2880/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8076 (1.8979) Prec@1 61.719 (57.261) Prec@5 78.906 (79.406) Epoch: [31][2890/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.6808 (1.8976) Prec@1 65.625 (57.273) Prec@5 81.250 (79.410) Epoch: [31][2900/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.8684 (1.8976) Prec@1 57.812 (57.275) Prec@5 78.125 (79.408) Epoch: [31][2910/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6788 (1.8976) Prec@1 64.062 (57.278) Prec@5 79.688 (79.410) Epoch: [31][2920/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.7240 (1.8974) Prec@1 60.938 (57.279) Prec@5 83.594 (79.413) Epoch: [31][2930/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.1290 (1.8976) Prec@1 53.125 (57.274) Prec@5 78.125 (79.413) Epoch: [31][2940/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.8302 (1.8978) Prec@1 54.688 (57.272) Prec@5 78.906 (79.410) Epoch: [31][2950/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.0094 (1.8981) Prec@1 56.250 (57.268) Prec@5 79.688 (79.405) Epoch: [31][2960/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.0078 (1.8983) Prec@1 49.219 (57.260) Prec@5 78.906 (79.405) Epoch: [31][2970/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.1590 (1.8985) Prec@1 53.906 (57.257) Prec@5 71.875 (79.402) Epoch: [31][2980/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.9256 (1.8985) Prec@1 55.469 (57.253) Prec@5 84.375 (79.404) Epoch: [31][2990/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9155 (1.8984) Prec@1 54.688 (57.254) Prec@5 78.906 (79.404) Epoch: [31][3000/10010] Time 0.316 (0.330) Data 0.000 (0.001) Loss 2.0212 (1.8981) Prec@1 57.031 (57.257) Prec@5 77.344 (79.407) Epoch: [31][3010/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8103 (1.8982) Prec@1 54.688 (57.251) Prec@5 82.031 (79.407) Epoch: [31][3020/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9539 (1.8983) Prec@1 53.125 (57.247) Prec@5 80.469 (79.406) Epoch: [31][3030/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.9043 (1.8981) Prec@1 58.594 (57.249) Prec@5 82.812 (79.406) Epoch: [31][3040/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7210 (1.8978) Prec@1 60.938 (57.247) Prec@5 84.375 (79.414) Epoch: [31][3050/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.0464 (1.8975) Prec@1 56.250 (57.251) Prec@5 79.688 (79.420) Epoch: [31][3060/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7755 (1.8971) Prec@1 60.938 (57.259) Prec@5 82.031 (79.423) /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: [31][3070/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.7222 (1.8971) Prec@1 62.500 (57.258) Prec@5 83.594 (79.422) Epoch: [31][3080/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.9872 (1.8972) Prec@1 53.125 (57.253) Prec@5 76.562 (79.421) Epoch: [31][3090/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.0064 (1.8972) Prec@1 58.594 (57.258) Prec@5 80.469 (79.423) Epoch: [31][3100/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.8407 (1.8970) Prec@1 57.031 (57.260) Prec@5 75.000 (79.423) Epoch: [31][3110/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.0492 (1.8966) Prec@1 58.594 (57.268) Prec@5 75.781 (79.430) Epoch: [31][3120/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.7856 (1.8962) Prec@1 58.594 (57.276) Prec@5 82.812 (79.438) Epoch: [31][3130/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.1329 (1.8965) Prec@1 47.656 (57.269) Prec@5 78.125 (79.433) Epoch: [31][3140/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.9882 (1.8966) Prec@1 53.906 (57.268) Prec@5 78.125 (79.433) Epoch: [31][3150/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8593 (1.8965) Prec@1 57.812 (57.271) Prec@5 77.344 (79.433) Epoch: [31][3160/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.2751 (1.8969) Prec@1 48.438 (57.262) Prec@5 74.219 (79.426) Epoch: [31][3170/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.7662 (1.8969) Prec@1 64.062 (57.263) Prec@5 81.250 (79.425) Epoch: [31][3180/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.9687 (1.8971) Prec@1 54.688 (57.256) Prec@5 78.125 (79.422) Epoch: [31][3190/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.7692 (1.8969) Prec@1 56.250 (57.257) Prec@5 82.812 (79.426) Epoch: [31][3200/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.9158 (1.8967) Prec@1 55.469 (57.256) Prec@5 79.688 (79.432) Epoch: [31][3210/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7827 (1.8965) Prec@1 60.156 (57.265) Prec@5 80.469 (79.434) Epoch: [31][3220/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8023 (1.8967) Prec@1 58.594 (57.262) Prec@5 80.469 (79.432) Epoch: [31][3230/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.9405 (1.8967) Prec@1 53.125 (57.263) Prec@5 78.906 (79.430) Epoch: [31][3240/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.8712 (1.8966) Prec@1 57.031 (57.260) Prec@5 81.250 (79.434) Epoch: [31][3250/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.7538 (1.8963) Prec@1 58.594 (57.270) Prec@5 82.031 (79.438) Epoch: [31][3260/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.0700 (1.8962) Prec@1 54.688 (57.271) Prec@5 78.906 (79.438) Epoch: [31][3270/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.2077 (1.8964) Prec@1 49.219 (57.273) Prec@5 75.781 (79.432) Epoch: [31][3280/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8684 (1.8961) Prec@1 59.375 (57.278) Prec@5 80.469 (79.438) Epoch: [31][3290/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.1648 (1.8964) Prec@1 53.125 (57.278) Prec@5 76.562 (79.434) Epoch: [31][3300/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.9295 (1.8963) Prec@1 61.719 (57.280) Prec@5 78.906 (79.437) Epoch: [31][3310/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7951 (1.8963) Prec@1 60.156 (57.284) Prec@5 78.906 (79.436) Epoch: [31][3320/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.8211 (1.8965) Prec@1 55.469 (57.279) Prec@5 82.031 (79.433) Epoch: [31][3330/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.9687 (1.8964) Prec@1 54.688 (57.277) Prec@5 79.688 (79.437) Epoch: [31][3340/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.9317 (1.8965) Prec@1 54.688 (57.274) Prec@5 82.031 (79.437) Epoch: [31][3350/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.0074 (1.8965) Prec@1 57.812 (57.277) Prec@5 76.562 (79.435) Epoch: [31][3360/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.9278 (1.8963) Prec@1 58.594 (57.281) Prec@5 78.906 (79.438) Epoch: [31][3370/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9629 (1.8961) Prec@1 57.031 (57.285) Prec@5 76.562 (79.440) Epoch: [31][3380/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.1105 (1.8963) Prec@1 54.688 (57.280) Prec@5 77.344 (79.437) Epoch: [31][3390/10010] Time 0.348 (0.330) Data 0.000 (0.001) Loss 1.9493 (1.8963) Prec@1 53.125 (57.281) Prec@5 82.812 (79.441) Epoch: [31][3400/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7805 (1.8965) Prec@1 60.156 (57.275) Prec@5 80.469 (79.433) Epoch: [31][3410/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.1799 (1.8965) Prec@1 51.562 (57.276) Prec@5 72.656 (79.433) Epoch: [31][3420/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.8899 (1.8966) Prec@1 56.250 (57.278) Prec@5 82.812 (79.434) Epoch: [31][3430/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.0064 (1.8965) Prec@1 55.469 (57.281) Prec@5 80.469 (79.435) Epoch: [31][3440/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.6175 (1.8965) Prec@1 60.938 (57.277) Prec@5 85.938 (79.434) Epoch: [31][3450/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8538 (1.8966) Prec@1 53.906 (57.273) Prec@5 82.031 (79.433) Epoch: [31][3460/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.9953 (1.8964) Prec@1 58.594 (57.277) Prec@5 78.125 (79.436) Epoch: [31][3470/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.7455 (1.8965) Prec@1 62.500 (57.273) Prec@5 81.250 (79.430) Epoch: [31][3480/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8245 (1.8964) Prec@1 61.719 (57.276) Prec@5 78.906 (79.431) Epoch: [31][3490/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.2926 (1.8963) Prec@1 47.656 (57.277) Prec@5 70.312 (79.433) Epoch: [31][3500/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.9298 (1.8965) Prec@1 55.469 (57.272) Prec@5 80.469 (79.430) Epoch: [31][3510/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7817 (1.8963) Prec@1 59.375 (57.275) Prec@5 86.719 (79.435) Epoch: [31][3520/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.6555 (1.8964) Prec@1 60.938 (57.270) Prec@5 83.594 (79.433) Epoch: [31][3530/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.1459 (1.8964) Prec@1 51.562 (57.272) Prec@5 74.219 (79.433) Epoch: [31][3540/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.8121 (1.8963) Prec@1 65.625 (57.274) Prec@5 79.688 (79.433) Epoch: [31][3550/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.8438 (1.8961) Prec@1 58.594 (57.275) Prec@5 79.688 (79.431) Epoch: [31][3560/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.9410 (1.8960) Prec@1 57.031 (57.277) Prec@5 78.906 (79.431) Epoch: [31][3570/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.7343 (1.8959) Prec@1 59.375 (57.282) Prec@5 82.031 (79.433) Epoch: [31][3580/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.6588 (1.8960) Prec@1 62.500 (57.280) Prec@5 82.812 (79.431) Epoch: [31][3590/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.9628 (1.8957) Prec@1 57.031 (57.283) Prec@5 80.469 (79.439) Epoch: [31][3600/10010] Time 0.314 (0.330) Data 0.001 (0.001) Loss 2.1311 (1.8959) Prec@1 51.562 (57.277) Prec@5 75.000 (79.435) Epoch: [31][3610/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.1576 (1.8961) Prec@1 53.125 (57.272) Prec@5 73.438 (79.429) Epoch: [31][3620/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.0872 (1.8962) Prec@1 54.688 (57.277) Prec@5 76.562 (79.426) Epoch: [31][3630/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9430 (1.8963) Prec@1 56.250 (57.274) Prec@5 81.250 (79.427) Epoch: [31][3640/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.1565 (1.8963) Prec@1 52.344 (57.273) Prec@5 76.562 (79.427) Epoch: [31][3650/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.4980 (1.8961) Prec@1 64.844 (57.276) Prec@5 87.500 (79.429) Epoch: [31][3660/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.0802 (1.8958) Prec@1 60.156 (57.286) Prec@5 74.219 (79.435) Epoch: [31][3670/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.7744 (1.8956) Prec@1 61.719 (57.295) Prec@5 80.469 (79.439) Epoch: [31][3680/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.9569 (1.8957) Prec@1 57.812 (57.292) Prec@5 78.906 (79.437) Epoch: [31][3690/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.2068 (1.8960) Prec@1 52.344 (57.285) Prec@5 73.438 (79.430) Epoch: [31][3700/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.1299 (1.8959) Prec@1 55.469 (57.289) Prec@5 72.656 (79.432) Epoch: [31][3710/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.5307 (1.8956) Prec@1 67.969 (57.297) Prec@5 84.375 (79.434) Epoch: [31][3720/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8416 (1.8954) Prec@1 57.812 (57.303) Prec@5 80.469 (79.438) Epoch: [31][3730/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.0807 (1.8955) Prec@1 53.906 (57.299) Prec@5 74.219 (79.435) Epoch: [31][3740/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 1.5038 (1.8955) Prec@1 67.188 (57.300) Prec@5 85.156 (79.434) Epoch: [31][3750/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.9299 (1.8954) Prec@1 52.344 (57.299) Prec@5 78.125 (79.436) Epoch: [31][3760/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9114 (1.8955) Prec@1 58.594 (57.301) Prec@5 79.688 (79.434) Epoch: [31][3770/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.7488 (1.8955) Prec@1 67.188 (57.304) Prec@5 83.594 (79.435) Epoch: [31][3780/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.9020 (1.8955) Prec@1 52.344 (57.305) Prec@5 75.000 (79.431) Epoch: [31][3790/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8985 (1.8955) Prec@1 56.250 (57.301) Prec@5 80.469 (79.432) Epoch: [31][3800/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.3031 (1.8955) Prec@1 49.219 (57.300) Prec@5 74.219 (79.434) Epoch: [31][3810/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.7219 (1.8955) Prec@1 58.594 (57.298) Prec@5 80.469 (79.432) Epoch: [31][3820/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.9975 (1.8956) Prec@1 58.594 (57.296) Prec@5 75.781 (79.432) Epoch: [31][3830/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.7601 (1.8955) Prec@1 63.281 (57.295) Prec@5 81.250 (79.436) Epoch: [31][3840/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.9731 (1.8954) Prec@1 54.688 (57.294) Prec@5 78.906 (79.443) Epoch: [31][3850/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.6624 (1.8953) Prec@1 64.844 (57.298) Prec@5 80.469 (79.446) Epoch: [31][3860/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.8798 (1.8952) Prec@1 57.031 (57.298) Prec@5 79.688 (79.447) Epoch: [31][3870/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.8101 (1.8950) Prec@1 62.500 (57.302) Prec@5 82.031 (79.447) Epoch: [31][3880/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.8968 (1.8951) Prec@1 58.594 (57.301) Prec@5 79.688 (79.444) Epoch: [31][3890/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.7756 (1.8951) Prec@1 57.031 (57.302) Prec@5 80.469 (79.442) Epoch: [31][3900/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.9010 (1.8952) Prec@1 58.594 (57.305) Prec@5 78.125 (79.441) Epoch: [31][3910/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.9686 (1.8952) Prec@1 60.156 (57.305) Prec@5 78.125 (79.442) Epoch: [31][3920/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8454 (1.8951) Prec@1 62.500 (57.309) Prec@5 78.125 (79.444) Epoch: [31][3930/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.5651 (1.8949) Prec@1 61.719 (57.315) Prec@5 85.938 (79.447) Epoch: [31][3940/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.9316 (1.8947) Prec@1 54.688 (57.317) Prec@5 79.688 (79.452) Epoch: [31][3950/10010] Time 0.350 (0.330) Data 0.000 (0.001) Loss 1.9249 (1.8947) Prec@1 57.812 (57.316) Prec@5 78.125 (79.455) Epoch: [31][3960/10010] Time 0.314 (0.330) Data 0.000 (0.001) Loss 2.1279 (1.8945) Prec@1 47.656 (57.316) Prec@5 75.000 (79.459) Epoch: [31][3970/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.7877 (1.8946) Prec@1 63.281 (57.315) Prec@5 82.812 (79.458) Epoch: [31][3980/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.2444 (1.8948) Prec@1 56.250 (57.314) Prec@5 71.875 (79.454) Epoch: [31][3990/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.9476 (1.8948) Prec@1 54.688 (57.313) Prec@5 80.469 (79.453) Epoch: [31][4000/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.7690 (1.8948) Prec@1 64.062 (57.315) Prec@5 78.125 (79.451) Epoch: [31][4010/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 2.0619 (1.8949) Prec@1 50.781 (57.309) Prec@5 75.000 (79.447) Epoch: [31][4020/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.6111 (1.8948) Prec@1 65.625 (57.314) Prec@5 82.812 (79.448) Epoch: [31][4030/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.2077 (1.8947) Prec@1 49.219 (57.311) Prec@5 76.562 (79.449) Epoch: [31][4040/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.6958 (1.8945) Prec@1 67.188 (57.317) Prec@5 79.688 (79.453) Epoch: [31][4050/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.6400 (1.8943) Prec@1 57.031 (57.316) Prec@5 85.156 (79.459) Epoch: [31][4060/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.6578 (1.8943) Prec@1 60.938 (57.315) Prec@5 80.469 (79.460) Epoch: [31][4070/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.9019 (1.8942) Prec@1 54.688 (57.317) Prec@5 82.812 (79.460) Epoch: [31][4080/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.5962 (1.8942) Prec@1 61.719 (57.317) Prec@5 87.500 (79.461) Epoch: [31][4090/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8767 (1.8943) Prec@1 59.375 (57.313) Prec@5 76.562 (79.460) Epoch: [31][4100/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.1525 (1.8942) Prec@1 52.344 (57.310) Prec@5 73.438 (79.463) Epoch: [31][4110/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.7478 (1.8941) Prec@1 60.938 (57.317) Prec@5 80.469 (79.464) Epoch: [31][4120/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.9213 (1.8941) Prec@1 56.250 (57.317) Prec@5 77.344 (79.466) Epoch: [31][4130/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.7800 (1.8940) Prec@1 57.031 (57.318) Prec@5 77.344 (79.465) Epoch: [31][4140/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.5784 (1.8941) Prec@1 58.594 (57.317) Prec@5 84.375 (79.466) Epoch: [31][4150/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.7948 (1.8939) Prec@1 60.938 (57.320) Prec@5 80.469 (79.469) Epoch: [31][4160/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7411 (1.8938) Prec@1 66.406 (57.321) Prec@5 82.031 (79.473) Epoch: [31][4170/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8585 (1.8938) Prec@1 63.281 (57.326) Prec@5 81.250 (79.472) Epoch: [31][4180/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.1893 (1.8938) Prec@1 53.125 (57.328) Prec@5 78.125 (79.474) Epoch: [31][4190/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9353 (1.8937) Prec@1 55.469 (57.328) Prec@5 78.125 (79.478) Epoch: [31][4200/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.0132 (1.8937) Prec@1 52.344 (57.326) Prec@5 79.688 (79.480) Epoch: [31][4210/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 1.6948 (1.8939) Prec@1 63.281 (57.325) Prec@5 82.031 (79.477) Epoch: [31][4220/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.9347 (1.8941) Prec@1 54.688 (57.323) Prec@5 77.344 (79.474) Epoch: [31][4230/10010] Time 0.315 (0.330) Data 0.000 (0.001) Loss 2.2080 (1.8940) Prec@1 54.688 (57.327) Prec@5 74.219 (79.474) Epoch: [31][4240/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.9213 (1.8940) Prec@1 53.125 (57.327) Prec@5 75.000 (79.474) Epoch: [31][4250/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.8036 (1.8939) Prec@1 60.156 (57.332) Prec@5 81.250 (79.475) Epoch: [31][4260/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.7699 (1.8937) Prec@1 56.250 (57.336) Prec@5 82.031 (79.478) Epoch: [31][4270/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.7332 (1.8937) Prec@1 54.688 (57.335) Prec@5 81.250 (79.478) Epoch: [31][4280/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0132 (1.8935) Prec@1 58.594 (57.336) Prec@5 76.562 (79.480) Epoch: [31][4290/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7508 (1.8934) Prec@1 59.375 (57.336) Prec@5 77.344 (79.482) Epoch: [31][4300/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8027 (1.8935) Prec@1 60.938 (57.335) Prec@5 78.125 (79.480) Epoch: [31][4310/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 1.8241 (1.8937) Prec@1 58.594 (57.332) Prec@5 80.469 (79.478) Epoch: [31][4320/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.8861 (1.8937) Prec@1 56.250 (57.331) Prec@5 77.344 (79.479) Epoch: [31][4330/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.5914 (1.8937) Prec@1 64.062 (57.328) Prec@5 86.719 (79.481) Epoch: [31][4340/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.7466 (1.8936) Prec@1 62.500 (57.328) Prec@5 82.812 (79.484) Epoch: [31][4350/10010] Time 0.348 (0.330) Data 0.000 (0.001) Loss 1.8441 (1.8936) Prec@1 63.281 (57.331) Prec@5 77.344 (79.482) Epoch: [31][4360/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.5909 (1.8935) Prec@1 60.938 (57.330) Prec@5 85.938 (79.483) Epoch: [31][4370/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.7632 (1.8933) Prec@1 60.156 (57.334) Prec@5 84.375 (79.487) Epoch: [31][4380/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8493 (1.8933) Prec@1 57.031 (57.336) Prec@5 80.469 (79.487) Epoch: [31][4390/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8129 (1.8932) Prec@1 60.156 (57.336) Prec@5 82.812 (79.488) Epoch: [31][4400/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.5252 (1.8932) Prec@1 63.281 (57.334) Prec@5 84.375 (79.486) Epoch: [31][4410/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.8551 (1.8932) Prec@1 57.031 (57.335) Prec@5 75.781 (79.486) Epoch: [31][4420/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.9295 (1.8934) Prec@1 59.375 (57.334) Prec@5 81.250 (79.484) Epoch: [31][4430/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.1844 (1.8933) Prec@1 57.812 (57.336) Prec@5 76.562 (79.483) Epoch: [31][4440/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 2.1468 (1.8931) Prec@1 59.375 (57.345) Prec@5 76.562 (79.488) Epoch: [31][4450/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.9585 (1.8931) Prec@1 57.812 (57.345) Prec@5 84.375 (79.490) Epoch: [31][4460/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.9598 (1.8932) Prec@1 59.375 (57.343) Prec@5 79.688 (79.488) Epoch: [31][4470/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7079 (1.8929) Prec@1 63.281 (57.351) Prec@5 83.594 (79.492) Epoch: [31][4480/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 1.9812 (1.8930) Prec@1 57.812 (57.349) Prec@5 78.906 (79.491) Epoch: [31][4490/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.5469 (1.8930) Prec@1 67.188 (57.350) Prec@5 86.719 (79.491) Epoch: [31][4500/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9759 (1.8931) Prec@1 55.469 (57.348) Prec@5 78.906 (79.489) Epoch: [31][4510/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.0994 (1.8930) Prec@1 53.125 (57.350) Prec@5 73.438 (79.491) Epoch: [31][4520/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.6426 (1.8931) Prec@1 62.500 (57.348) Prec@5 83.594 (79.489) Epoch: [31][4530/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.9240 (1.8931) Prec@1 55.469 (57.346) Prec@5 78.125 (79.489) Epoch: [31][4540/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.7428 (1.8929) Prec@1 58.594 (57.351) Prec@5 82.031 (79.491) Epoch: [31][4550/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.0566 (1.8928) Prec@1 53.906 (57.350) Prec@5 78.906 (79.493) Epoch: [31][4560/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.0078 (1.8931) Prec@1 60.938 (57.349) Prec@5 84.375 (79.490) Epoch: [31][4570/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8942 (1.8931) Prec@1 60.156 (57.351) Prec@5 79.688 (79.491) Epoch: [31][4580/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.9106 (1.8931) Prec@1 54.688 (57.355) Prec@5 83.594 (79.491) Epoch: [31][4590/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.7767 (1.8930) Prec@1 63.281 (57.359) Prec@5 85.938 (79.493) Epoch: [31][4600/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.6889 (1.8928) Prec@1 64.844 (57.365) Prec@5 82.812 (79.495) Epoch: [31][4610/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 2.1363 (1.8931) Prec@1 58.594 (57.362) Prec@5 75.781 (79.486) Epoch: [31][4620/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.7520 (1.8931) Prec@1 57.031 (57.363) Prec@5 86.719 (79.487) Epoch: [31][4630/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8412 (1.8930) Prec@1 60.938 (57.367) Prec@5 80.469 (79.488) Epoch: [31][4640/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8704 (1.8930) Prec@1 50.781 (57.367) Prec@5 80.469 (79.488) Epoch: [31][4650/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.4648 (1.8930) Prec@1 65.625 (57.370) Prec@5 86.719 (79.490) Epoch: [31][4660/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 2.0458 (1.8930) Prec@1 54.688 (57.368) Prec@5 77.344 (79.490) Epoch: [31][4670/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.6733 (1.8929) Prec@1 60.938 (57.366) Prec@5 84.375 (79.493) Epoch: [31][4680/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8149 (1.8925) Prec@1 60.156 (57.373) Prec@5 82.812 (79.497) Epoch: [31][4690/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.9616 (1.8926) Prec@1 57.031 (57.368) Prec@5 81.250 (79.497) /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: [31][4700/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.2494 (1.8927) Prec@1 47.656 (57.364) Prec@5 73.438 (79.497) Epoch: [31][4710/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.5930 (1.8927) Prec@1 62.500 (57.361) Prec@5 84.375 (79.493) Epoch: [31][4720/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.2408 (1.8927) Prec@1 52.344 (57.361) Prec@5 73.438 (79.494) Epoch: [31][4730/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.0197 (1.8930) Prec@1 53.125 (57.358) Prec@5 75.000 (79.490) Epoch: [31][4740/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 1.6505 (1.8928) Prec@1 60.156 (57.359) Prec@5 86.719 (79.491) Epoch: [31][4750/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.8156 (1.8926) Prec@1 57.031 (57.361) Prec@5 78.906 (79.493) Epoch: [31][4760/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9964 (1.8925) Prec@1 52.344 (57.361) Prec@5 75.000 (79.496) Epoch: [31][4770/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8808 (1.8925) Prec@1 60.156 (57.358) Prec@5 80.469 (79.496) Epoch: [31][4780/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8115 (1.8926) Prec@1 60.156 (57.359) Prec@5 80.469 (79.493) Epoch: [31][4790/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8631 (1.8927) Prec@1 55.469 (57.356) Prec@5 83.594 (79.494) Epoch: [31][4800/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7570 (1.8924) Prec@1 64.844 (57.362) Prec@5 79.688 (79.496) Epoch: [31][4810/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.9189 (1.8924) Prec@1 57.812 (57.363) Prec@5 80.469 (79.495) Epoch: [31][4820/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9961 (1.8921) Prec@1 52.344 (57.367) Prec@5 75.000 (79.500) Epoch: [31][4830/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.7672 (1.8920) Prec@1 65.625 (57.370) Prec@5 82.031 (79.501) Epoch: [31][4840/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.5750 (1.8920) Prec@1 63.281 (57.370) Prec@5 85.156 (79.501) Epoch: [31][4850/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.9256 (1.8920) Prec@1 60.156 (57.373) Prec@5 80.469 (79.500) Epoch: [31][4860/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.3737 (1.8919) Prec@1 67.969 (57.373) Prec@5 87.500 (79.501) Epoch: [31][4870/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8345 (1.8919) Prec@1 56.250 (57.374) Prec@5 82.031 (79.504) Epoch: [31][4880/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.0894 (1.8920) Prec@1 50.781 (57.371) Prec@5 78.906 (79.505) Epoch: [31][4890/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.0026 (1.8920) Prec@1 53.906 (57.367) Prec@5 80.469 (79.506) Epoch: [31][4900/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9233 (1.8921) Prec@1 57.031 (57.368) Prec@5 79.688 (79.507) Epoch: [31][4910/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8628 (1.8921) Prec@1 57.031 (57.366) Prec@5 78.125 (79.504) Epoch: [31][4920/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.7940 (1.8920) Prec@1 62.500 (57.371) Prec@5 78.125 (79.505) Epoch: [31][4930/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.8355 (1.8920) Prec@1 61.719 (57.372) Prec@5 76.562 (79.505) Epoch: [31][4940/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.8118 (1.8922) Prec@1 63.281 (57.370) Prec@5 78.906 (79.502) Epoch: [31][4950/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.0773 (1.8921) Prec@1 58.594 (57.374) Prec@5 79.688 (79.503) Epoch: [31][4960/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7065 (1.8920) Prec@1 57.812 (57.372) Prec@5 82.031 (79.503) Epoch: [31][4970/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.1140 (1.8920) Prec@1 53.906 (57.375) Prec@5 72.656 (79.504) Epoch: [31][4980/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.1531 (1.8918) Prec@1 53.125 (57.379) Prec@5 73.438 (79.507) Epoch: [31][4990/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.8170 (1.8917) Prec@1 59.375 (57.381) Prec@5 82.031 (79.510) Epoch: [31][5000/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.8964 (1.8917) Prec@1 59.375 (57.380) Prec@5 75.000 (79.509) Epoch: [31][5010/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7260 (1.8915) Prec@1 64.844 (57.385) Prec@5 82.031 (79.511) Epoch: [31][5020/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.9538 (1.8916) Prec@1 54.688 (57.385) Prec@5 78.906 (79.509) Epoch: [31][5030/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.9019 (1.8915) Prec@1 56.250 (57.387) Prec@5 76.562 (79.509) Epoch: [31][5040/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.6858 (1.8914) Prec@1 60.938 (57.387) Prec@5 85.156 (79.511) Epoch: [31][5050/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.8052 (1.8913) Prec@1 57.812 (57.387) Prec@5 80.469 (79.511) Epoch: [31][5060/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.1020 (1.8913) Prec@1 51.562 (57.386) Prec@5 73.438 (79.513) Epoch: [31][5070/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.0318 (1.8911) Prec@1 59.375 (57.390) Prec@5 78.906 (79.516) Epoch: [31][5080/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9739 (1.8912) Prec@1 57.031 (57.389) Prec@5 75.781 (79.515) Epoch: [31][5090/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.1163 (1.8912) Prec@1 54.688 (57.393) Prec@5 75.781 (79.514) Epoch: [31][5100/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.5485 (1.8912) Prec@1 60.938 (57.392) Prec@5 86.719 (79.514) Epoch: [31][5110/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.2168 (1.8912) Prec@1 50.000 (57.390) Prec@5 72.656 (79.512) Epoch: [31][5120/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 2.2943 (1.8913) Prec@1 46.094 (57.384) Prec@5 70.312 (79.508) Epoch: [31][5130/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.7443 (1.8913) Prec@1 58.594 (57.384) Prec@5 80.469 (79.508) Epoch: [31][5140/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.2133 (1.8915) Prec@1 55.469 (57.383) Prec@5 74.219 (79.506) Epoch: [31][5150/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 2.1655 (1.8916) Prec@1 52.344 (57.382) Prec@5 73.438 (79.504) Epoch: [31][5160/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.8730 (1.8915) Prec@1 57.812 (57.384) Prec@5 79.688 (79.505) Epoch: [31][5170/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.8367 (1.8914) Prec@1 59.375 (57.384) Prec@5 78.125 (79.507) Epoch: [31][5180/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7538 (1.8912) Prec@1 59.375 (57.388) Prec@5 81.250 (79.508) Epoch: [31][5190/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.2573 (1.8914) Prec@1 50.000 (57.386) Prec@5 74.219 (79.506) Epoch: [31][5200/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.1098 (1.8915) Prec@1 53.125 (57.382) Prec@5 76.562 (79.503) Epoch: [31][5210/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8384 (1.8915) Prec@1 56.250 (57.386) Prec@5 82.812 (79.505) Epoch: [31][5220/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.7154 (1.8914) Prec@1 61.719 (57.387) Prec@5 80.469 (79.505) Epoch: [31][5230/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.9515 (1.8915) Prec@1 60.156 (57.386) Prec@5 82.812 (79.507) Epoch: [31][5240/10010] Time 0.314 (0.330) Data 0.000 (0.001) Loss 1.8206 (1.8916) Prec@1 61.719 (57.385) Prec@5 81.250 (79.503) Epoch: [31][5250/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.8596 (1.8916) Prec@1 56.250 (57.385) Prec@5 77.344 (79.503) Epoch: [31][5260/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9413 (1.8916) Prec@1 54.688 (57.383) Prec@5 83.594 (79.504) Epoch: [31][5270/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.7864 (1.8916) Prec@1 61.719 (57.384) Prec@5 82.812 (79.504) Epoch: [31][5280/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7148 (1.8915) Prec@1 61.719 (57.390) Prec@5 81.250 (79.505) Epoch: [31][5290/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.0191 (1.8915) Prec@1 57.031 (57.390) Prec@5 78.906 (79.506) Epoch: [31][5300/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7138 (1.8912) Prec@1 64.062 (57.395) Prec@5 81.250 (79.510) Epoch: [31][5310/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9510 (1.8912) Prec@1 60.156 (57.396) Prec@5 76.562 (79.511) Epoch: [31][5320/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8544 (1.8912) Prec@1 58.594 (57.397) Prec@5 79.688 (79.514) Epoch: [31][5330/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.7928 (1.8910) Prec@1 61.719 (57.401) Prec@5 83.594 (79.518) Epoch: [31][5340/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.0228 (1.8910) Prec@1 56.250 (57.402) Prec@5 78.125 (79.520) Epoch: [31][5350/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.9416 (1.8909) Prec@1 64.062 (57.408) Prec@5 75.000 (79.520) Epoch: [31][5360/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.0910 (1.8909) Prec@1 51.562 (57.406) Prec@5 77.344 (79.520) Epoch: [31][5370/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.7714 (1.8909) Prec@1 60.156 (57.404) Prec@5 75.781 (79.519) Epoch: [31][5380/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.2859 (1.8908) Prec@1 50.000 (57.404) Prec@5 73.438 (79.518) Epoch: [31][5390/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 2.0518 (1.8909) Prec@1 54.688 (57.402) Prec@5 77.344 (79.517) Epoch: [31][5400/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.8072 (1.8910) Prec@1 63.281 (57.402) Prec@5 83.594 (79.515) Epoch: [31][5410/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.7864 (1.8912) Prec@1 64.844 (57.400) Prec@5 85.156 (79.514) Epoch: [31][5420/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7621 (1.8911) Prec@1 61.719 (57.404) Prec@5 79.688 (79.513) Epoch: [31][5430/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.1571 (1.8912) Prec@1 54.688 (57.404) Prec@5 76.562 (79.511) Epoch: [31][5440/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.1890 (1.8912) Prec@1 56.250 (57.406) Prec@5 78.906 (79.512) Epoch: [31][5450/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9248 (1.8911) Prec@1 55.469 (57.405) Prec@5 80.469 (79.513) Epoch: [31][5460/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.7080 (1.8911) Prec@1 62.500 (57.407) Prec@5 82.812 (79.512) Epoch: [31][5470/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.2995 (1.8912) Prec@1 53.906 (57.406) Prec@5 73.438 (79.511) Epoch: [31][5480/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.8884 (1.8910) Prec@1 54.688 (57.409) Prec@5 81.250 (79.513) Epoch: [31][5490/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.7736 (1.8910) Prec@1 56.250 (57.408) Prec@5 81.250 (79.515) Epoch: [31][5500/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.9181 (1.8911) Prec@1 56.250 (57.407) Prec@5 78.125 (79.514) Epoch: [31][5510/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.1341 (1.8912) Prec@1 51.562 (57.405) Prec@5 75.781 (79.510) Epoch: [31][5520/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.1184 (1.8911) Prec@1 51.562 (57.405) Prec@5 73.438 (79.512) Epoch: [31][5530/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6136 (1.8907) Prec@1 64.062 (57.413) Prec@5 84.375 (79.520) Epoch: [31][5540/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.0416 (1.8906) Prec@1 53.125 (57.414) Prec@5 79.688 (79.523) Epoch: [31][5550/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.9389 (1.8904) Prec@1 57.031 (57.417) Prec@5 75.000 (79.525) Epoch: [31][5560/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.9124 (1.8905) Prec@1 60.156 (57.412) Prec@5 80.469 (79.524) Epoch: [31][5570/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.9335 (1.8906) Prec@1 59.375 (57.410) Prec@5 78.906 (79.521) Epoch: [31][5580/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.6858 (1.8906) Prec@1 61.719 (57.409) Prec@5 87.500 (79.522) Epoch: [31][5590/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.8430 (1.8905) Prec@1 58.594 (57.411) Prec@5 82.812 (79.522) Epoch: [31][5600/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.0166 (1.8907) Prec@1 57.812 (57.407) Prec@5 74.219 (79.518) Epoch: [31][5610/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8894 (1.8908) Prec@1 56.250 (57.406) Prec@5 78.906 (79.519) Epoch: [31][5620/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8802 (1.8906) Prec@1 57.812 (57.408) Prec@5 78.125 (79.521) Epoch: [31][5630/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.9300 (1.8905) Prec@1 60.156 (57.415) Prec@5 77.344 (79.520) Epoch: [31][5640/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8241 (1.8905) Prec@1 59.375 (57.414) Prec@5 78.125 (79.521) Epoch: [31][5650/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 2.2625 (1.8906) Prec@1 50.781 (57.410) Prec@5 73.438 (79.519) Epoch: [31][5660/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.1056 (1.8906) Prec@1 55.469 (57.409) Prec@5 77.344 (79.518) Epoch: [31][5670/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.5564 (1.8905) Prec@1 68.750 (57.412) Prec@5 83.594 (79.520) Epoch: [31][5680/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.8405 (1.8905) Prec@1 57.812 (57.411) Prec@5 79.688 (79.522) Epoch: [31][5690/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.6389 (1.8905) Prec@1 60.938 (57.413) Prec@5 84.375 (79.522) Epoch: [31][5700/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.1149 (1.8904) Prec@1 55.469 (57.414) Prec@5 80.469 (79.524) Epoch: [31][5710/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.9062 (1.8904) Prec@1 62.500 (57.415) Prec@5 78.906 (79.525) Epoch: [31][5720/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8634 (1.8904) Prec@1 60.938 (57.416) Prec@5 77.344 (79.523) Epoch: [31][5730/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.1762 (1.8903) Prec@1 55.469 (57.420) Prec@5 77.344 (79.524) Epoch: [31][5740/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.9062 (1.8904) Prec@1 60.156 (57.417) Prec@5 75.781 (79.522) Epoch: [31][5750/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.7900 (1.8902) Prec@1 59.375 (57.421) Prec@5 81.250 (79.525) Epoch: [31][5760/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8188 (1.8900) Prec@1 57.812 (57.422) Prec@5 82.031 (79.525) Epoch: [31][5770/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.5417 (1.8901) Prec@1 62.500 (57.420) Prec@5 85.156 (79.525) Epoch: [31][5780/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.8961 (1.8901) Prec@1 62.500 (57.421) Prec@5 77.344 (79.525) Epoch: [31][5790/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.8449 (1.8901) Prec@1 57.812 (57.422) Prec@5 83.594 (79.528) Epoch: [31][5800/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.0963 (1.8901) Prec@1 53.906 (57.423) Prec@5 74.219 (79.528) Epoch: [31][5810/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6041 (1.8900) Prec@1 64.062 (57.423) Prec@5 85.938 (79.530) Epoch: [31][5820/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.5212 (1.8896) Prec@1 65.625 (57.429) Prec@5 83.594 (79.535) Epoch: [31][5830/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.9129 (1.8895) Prec@1 57.031 (57.430) Prec@5 77.344 (79.536) Epoch: [31][5840/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8210 (1.8896) Prec@1 62.500 (57.431) Prec@5 82.031 (79.535) Epoch: [31][5850/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.1056 (1.8897) Prec@1 51.562 (57.429) Prec@5 77.344 (79.534) Epoch: [31][5860/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7019 (1.8894) Prec@1 58.594 (57.433) Prec@5 83.594 (79.538) Epoch: [31][5870/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.6760 (1.8893) Prec@1 60.938 (57.437) Prec@5 81.250 (79.540) Epoch: [31][5880/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.8329 (1.8891) Prec@1 52.344 (57.441) Prec@5 80.469 (79.544) Epoch: [31][5890/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.9865 (1.8892) Prec@1 60.156 (57.441) Prec@5 80.469 (79.542) Epoch: [31][5900/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.7792 (1.8891) Prec@1 57.031 (57.444) Prec@5 85.156 (79.544) Epoch: [31][5910/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.0560 (1.8891) Prec@1 47.656 (57.443) Prec@5 78.906 (79.545) Epoch: [31][5920/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.5286 (1.8891) Prec@1 64.844 (57.443) Prec@5 85.156 (79.543) Epoch: [31][5930/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7415 (1.8891) Prec@1 53.906 (57.442) Prec@5 83.594 (79.542) Epoch: [31][5940/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.5205 (1.8890) Prec@1 66.406 (57.447) Prec@5 89.062 (79.543) Epoch: [31][5950/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.9966 (1.8891) Prec@1 60.938 (57.443) Prec@5 78.125 (79.541) Epoch: [31][5960/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.9898 (1.8890) Prec@1 53.906 (57.444) Prec@5 73.438 (79.541) Epoch: [31][5970/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.5506 (1.8889) Prec@1 60.156 (57.444) Prec@5 85.938 (79.542) Epoch: [31][5980/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.0611 (1.8889) Prec@1 55.469 (57.444) Prec@5 75.781 (79.540) Epoch: [31][5990/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 2.0472 (1.8888) Prec@1 55.469 (57.446) Prec@5 78.125 (79.540) Epoch: [31][6000/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.9410 (1.8887) Prec@1 59.375 (57.450) Prec@5 82.031 (79.543) Epoch: [31][6010/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.0048 (1.8887) Prec@1 53.125 (57.453) Prec@5 77.344 (79.542) Epoch: [31][6020/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.2977 (1.8888) Prec@1 46.875 (57.449) Prec@5 76.562 (79.540) Epoch: [31][6030/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.7733 (1.8888) Prec@1 57.812 (57.448) Prec@5 82.031 (79.539) Epoch: [31][6040/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.8913 (1.8890) Prec@1 53.125 (57.442) Prec@5 75.781 (79.534) Epoch: [31][6050/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 2.0081 (1.8888) Prec@1 53.906 (57.444) Prec@5 75.000 (79.537) Epoch: [31][6060/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.0991 (1.8888) Prec@1 54.688 (57.445) Prec@5 77.344 (79.538) Epoch: [31][6070/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.2175 (1.8890) Prec@1 48.438 (57.440) Prec@5 74.219 (79.536) /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: [31][6080/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8255 (1.8889) Prec@1 57.031 (57.443) Prec@5 78.125 (79.538) Epoch: [31][6090/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.5629 (1.8886) Prec@1 67.188 (57.449) Prec@5 84.375 (79.543) Epoch: [31][6100/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.7769 (1.8886) Prec@1 57.031 (57.447) Prec@5 83.594 (79.542) Epoch: [31][6110/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.8650 (1.8886) Prec@1 58.594 (57.448) Prec@5 80.469 (79.543) /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: [31][6120/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7761 (1.8886) Prec@1 60.938 (57.448) Prec@5 82.031 (79.544) Epoch: [31][6130/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.6781 (1.8886) Prec@1 57.812 (57.447) Prec@5 80.469 (79.543) Epoch: [31][6140/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7990 (1.8885) Prec@1 60.156 (57.448) Prec@5 78.906 (79.544) Epoch: [31][6150/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.9757 (1.8885) Prec@1 52.344 (57.451) Prec@5 77.344 (79.546) Epoch: [31][6160/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.5978 (1.8884) Prec@1 60.156 (57.452) Prec@5 85.938 (79.547) Epoch: [31][6170/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.0577 (1.8884) Prec@1 53.906 (57.450) Prec@5 77.344 (79.544) Epoch: [31][6180/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8616 (1.8887) Prec@1 59.375 (57.445) Prec@5 80.469 (79.541) Epoch: [31][6190/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.0292 (1.8887) Prec@1 58.594 (57.445) Prec@5 76.562 (79.540) /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: [31][6200/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.9452 (1.8887) Prec@1 51.562 (57.445) Prec@5 80.469 (79.541) Epoch: [31][6210/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.1226 (1.8888) Prec@1 53.125 (57.440) Prec@5 73.438 (79.538) Epoch: [31][6220/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.2362 (1.8888) Prec@1 60.156 (57.442) Prec@5 73.438 (79.538) Epoch: [31][6230/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.8867 (1.8889) Prec@1 57.812 (57.439) Prec@5 79.688 (79.538) Epoch: [31][6240/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.7344 (1.8890) Prec@1 59.375 (57.437) Prec@5 79.688 (79.534) Epoch: [31][6250/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.9882 (1.8891) Prec@1 56.250 (57.436) Prec@5 76.562 (79.533) Epoch: [31][6260/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.0617 (1.8891) Prec@1 55.469 (57.438) Prec@5 75.000 (79.531) Epoch: [31][6270/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0714 (1.8891) Prec@1 56.250 (57.439) Prec@5 75.000 (79.529) Epoch: [31][6280/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.9450 (1.8891) Prec@1 60.156 (57.441) Prec@5 76.562 (79.530) Epoch: [31][6290/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.7484 (1.8890) Prec@1 59.375 (57.439) Prec@5 84.375 (79.533) Epoch: [31][6300/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5727 (1.8891) Prec@1 61.719 (57.435) Prec@5 85.156 (79.531) Epoch: [31][6310/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8297 (1.8890) Prec@1 60.156 (57.434) Prec@5 78.125 (79.532) Epoch: [31][6320/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8686 (1.8890) Prec@1 59.375 (57.434) Prec@5 78.906 (79.531) Epoch: [31][6330/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.5714 (1.8890) Prec@1 64.062 (57.437) Prec@5 84.375 (79.529) Epoch: [31][6340/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.9794 (1.8891) Prec@1 50.000 (57.439) Prec@5 75.781 (79.526) Epoch: [31][6350/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.1261 (1.8891) Prec@1 53.125 (57.441) Prec@5 75.000 (79.525) Epoch: [31][6360/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.9917 (1.8891) Prec@1 54.688 (57.437) Prec@5 78.125 (79.524) Epoch: [31][6370/10010] Time 0.331 (0.330) Data 0.002 (0.001) Loss 1.6022 (1.8890) Prec@1 67.188 (57.441) Prec@5 85.938 (79.527) Epoch: [31][6380/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.7776 (1.8888) Prec@1 62.500 (57.447) Prec@5 80.469 (79.529) Epoch: [31][6390/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.2203 (1.8889) Prec@1 54.688 (57.445) Prec@5 73.438 (79.527) Epoch: [31][6400/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.9583 (1.8891) Prec@1 53.906 (57.445) Prec@5 82.031 (79.526) Epoch: [31][6410/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8169 (1.8889) Prec@1 55.469 (57.447) Prec@5 77.344 (79.526) Epoch: [31][6420/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.7207 (1.8886) Prec@1 60.938 (57.450) Prec@5 82.031 (79.529) Epoch: [31][6430/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.6738 (1.8887) Prec@1 60.156 (57.449) Prec@5 85.156 (79.529) Epoch: [31][6440/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.6487 (1.8885) Prec@1 59.375 (57.453) Prec@5 85.938 (79.531) Epoch: [31][6450/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8837 (1.8887) Prec@1 58.594 (57.449) Prec@5 77.344 (79.528) Epoch: [31][6460/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.7972 (1.8885) Prec@1 62.500 (57.453) Prec@5 82.812 (79.531) Epoch: [31][6470/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.9186 (1.8885) Prec@1 60.938 (57.454) Prec@5 78.125 (79.531) Epoch: [31][6480/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.8765 (1.8885) Prec@1 57.812 (57.454) Prec@5 80.469 (79.531) Epoch: [31][6490/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.7178 (1.8885) Prec@1 59.375 (57.456) Prec@5 83.594 (79.531) Epoch: [31][6500/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.7637 (1.8886) Prec@1 60.938 (57.452) Prec@5 81.250 (79.528) Epoch: [31][6510/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.6807 (1.8885) Prec@1 57.031 (57.454) Prec@5 82.812 (79.530) Epoch: [31][6520/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.9002 (1.8885) Prec@1 53.906 (57.453) Prec@5 80.469 (79.530) Epoch: [31][6530/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0072 (1.8885) Prec@1 53.906 (57.453) Prec@5 75.781 (79.530) Epoch: [31][6540/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.1200 (1.8886) Prec@1 57.031 (57.451) Prec@5 74.219 (79.529) Epoch: [31][6550/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.8053 (1.8886) Prec@1 56.250 (57.452) Prec@5 78.906 (79.529) Epoch: [31][6560/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.0739 (1.8886) Prec@1 53.906 (57.452) Prec@5 75.781 (79.527) Epoch: [31][6570/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.8705 (1.8886) Prec@1 55.469 (57.449) Prec@5 78.906 (79.527) Epoch: [31][6580/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8196 (1.8887) Prec@1 57.812 (57.447) Prec@5 84.375 (79.528) Epoch: [31][6590/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 2.1998 (1.8887) Prec@1 53.125 (57.446) Prec@5 75.000 (79.527) Epoch: [31][6600/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 2.1019 (1.8888) Prec@1 56.250 (57.445) Prec@5 74.219 (79.525) Epoch: [31][6610/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6114 (1.8886) Prec@1 64.844 (57.451) Prec@5 85.938 (79.529) Epoch: [31][6620/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7138 (1.8886) Prec@1 62.500 (57.453) Prec@5 82.812 (79.531) Epoch: [31][6630/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.8040 (1.8886) Prec@1 60.156 (57.452) Prec@5 83.594 (79.530) Epoch: [31][6640/10010] Time 0.312 (0.330) Data 0.001 (0.001) Loss 1.5143 (1.8884) Prec@1 65.625 (57.455) Prec@5 82.812 (79.532) Epoch: [31][6650/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.8422 (1.8885) Prec@1 54.688 (57.453) Prec@5 80.469 (79.531) Epoch: [31][6660/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.2309 (1.8886) Prec@1 51.562 (57.449) Prec@5 72.656 (79.529) Epoch: [31][6670/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 1.7187 (1.8885) Prec@1 54.688 (57.450) Prec@5 82.812 (79.530) Epoch: [31][6680/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7462 (1.8884) Prec@1 61.719 (57.453) Prec@5 82.031 (79.532) Epoch: [31][6690/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7004 (1.8884) Prec@1 60.938 (57.453) Prec@5 82.812 (79.531) Epoch: [31][6700/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.0727 (1.8883) Prec@1 46.875 (57.453) Prec@5 75.781 (79.533) Epoch: [31][6710/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.7475 (1.8881) Prec@1 60.938 (57.456) Prec@5 79.688 (79.535) Epoch: [31][6720/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9591 (1.8880) Prec@1 53.906 (57.458) Prec@5 75.781 (79.535) Epoch: [31][6730/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6344 (1.8880) Prec@1 64.062 (57.459) Prec@5 84.375 (79.535) Epoch: [31][6740/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8926 (1.8879) Prec@1 53.906 (57.461) Prec@5 80.469 (79.537) Epoch: [31][6750/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.9723 (1.8877) Prec@1 54.688 (57.465) Prec@5 77.344 (79.539) Epoch: [31][6760/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.9620 (1.8877) Prec@1 60.938 (57.467) Prec@5 78.906 (79.538) Epoch: [31][6770/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7877 (1.8877) Prec@1 59.375 (57.468) Prec@5 77.344 (79.537) Epoch: [31][6780/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.1517 (1.8876) Prec@1 50.781 (57.470) Prec@5 76.562 (79.538) Epoch: [31][6790/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.0128 (1.8876) Prec@1 55.469 (57.469) Prec@5 76.562 (79.539) Epoch: [31][6800/10010] Time 0.348 (0.330) Data 0.001 (0.001) Loss 1.7995 (1.8875) Prec@1 58.594 (57.473) Prec@5 82.812 (79.540) Epoch: [31][6810/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.6027 (1.8874) Prec@1 62.500 (57.475) Prec@5 82.031 (79.540) Epoch: [31][6820/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.6822 (1.8874) Prec@1 65.625 (57.477) Prec@5 81.250 (79.539) Epoch: [31][6830/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.8758 (1.8875) Prec@1 53.906 (57.477) Prec@5 76.562 (79.537) Epoch: [31][6840/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.0751 (1.8874) Prec@1 55.469 (57.476) Prec@5 75.000 (79.537) Epoch: [31][6850/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8072 (1.8874) Prec@1 57.812 (57.475) Prec@5 77.344 (79.537) Epoch: [31][6860/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.6076 (1.8871) Prec@1 59.375 (57.478) Prec@5 82.812 (79.541) Epoch: [31][6870/10010] Time 0.313 (0.330) Data 0.001 (0.001) Loss 1.6192 (1.8871) Prec@1 64.062 (57.479) Prec@5 83.594 (79.541) Epoch: [31][6880/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.6866 (1.8869) Prec@1 57.812 (57.479) Prec@5 77.344 (79.545) Epoch: [31][6890/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.0185 (1.8869) Prec@1 53.906 (57.480) Prec@5 76.562 (79.546) Epoch: [31][6900/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8141 (1.8868) Prec@1 53.125 (57.481) Prec@5 84.375 (79.548) Epoch: [31][6910/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8692 (1.8868) Prec@1 57.031 (57.479) Prec@5 78.906 (79.548) Epoch: [31][6920/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7649 (1.8868) Prec@1 61.719 (57.481) Prec@5 84.375 (79.550) Epoch: [31][6930/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7491 (1.8866) Prec@1 68.750 (57.487) Prec@5 77.344 (79.554) Epoch: [31][6940/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.6531 (1.8866) Prec@1 61.719 (57.489) Prec@5 83.594 (79.554) Epoch: [31][6950/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.8727 (1.8867) Prec@1 54.688 (57.486) Prec@5 80.469 (79.554) Epoch: [31][6960/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6002 (1.8866) Prec@1 60.156 (57.483) Prec@5 83.594 (79.554) Epoch: [31][6970/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.9544 (1.8866) Prec@1 58.594 (57.485) Prec@5 76.562 (79.554) Epoch: [31][6980/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.7520 (1.8866) Prec@1 60.156 (57.487) Prec@5 81.250 (79.554) Epoch: [31][6990/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.0081 (1.8866) Prec@1 55.469 (57.486) Prec@5 75.781 (79.555) Epoch: [31][7000/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.3833 (1.8866) Prec@1 50.000 (57.485) Prec@5 70.312 (79.555) Epoch: [31][7010/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.0222 (1.8865) Prec@1 53.906 (57.487) Prec@5 78.906 (79.558) Epoch: [31][7020/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.8846 (1.8865) Prec@1 56.250 (57.486) Prec@5 78.906 (79.559) Epoch: [31][7030/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.6095 (1.8864) Prec@1 64.844 (57.489) Prec@5 85.938 (79.560) Epoch: [31][7040/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.9934 (1.8863) Prec@1 58.594 (57.493) Prec@5 75.000 (79.561) Epoch: [31][7050/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.7628 (1.8863) Prec@1 60.938 (57.493) Prec@5 82.812 (79.561) Epoch: [31][7060/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.5031 (1.8864) Prec@1 47.656 (57.494) Prec@5 67.969 (79.558) Epoch: [31][7070/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.0307 (1.8865) Prec@1 58.594 (57.491) Prec@5 77.344 (79.556) Epoch: [31][7080/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.0391 (1.8864) Prec@1 54.688 (57.493) Prec@5 81.250 (79.557) Epoch: [31][7090/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.0210 (1.8865) Prec@1 57.812 (57.490) Prec@5 75.000 (79.557) Epoch: [31][7100/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.9682 (1.8864) Prec@1 57.031 (57.492) Prec@5 79.688 (79.557) Epoch: [31][7110/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.0391 (1.8863) Prec@1 56.250 (57.496) Prec@5 75.781 (79.559) Epoch: [31][7120/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.8400 (1.8863) Prec@1 60.938 (57.497) Prec@5 81.250 (79.560) Epoch: [31][7130/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.5701 (1.8862) Prec@1 59.375 (57.497) Prec@5 83.594 (79.561) Epoch: [31][7140/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.7025 (1.8863) Prec@1 60.156 (57.493) Prec@5 83.594 (79.560) Epoch: [31][7150/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.7788 (1.8862) Prec@1 63.281 (57.493) Prec@5 84.375 (79.562) Epoch: [31][7160/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.7628 (1.8862) Prec@1 60.156 (57.495) Prec@5 82.031 (79.563) Epoch: [31][7170/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7825 (1.8863) Prec@1 60.156 (57.494) Prec@5 76.562 (79.563) Epoch: [31][7180/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.7083 (1.8863) Prec@1 62.500 (57.491) Prec@5 80.469 (79.562) Epoch: [31][7190/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.1588 (1.8863) Prec@1 55.469 (57.493) Prec@5 76.562 (79.563) Epoch: [31][7200/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8780 (1.8863) Prec@1 59.375 (57.493) Prec@5 81.250 (79.563) Epoch: [31][7210/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.0656 (1.8863) Prec@1 62.500 (57.497) Prec@5 76.562 (79.563) Epoch: [31][7220/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7953 (1.8863) Prec@1 58.594 (57.495) Prec@5 82.031 (79.564) Epoch: [31][7230/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.0082 (1.8863) Prec@1 54.688 (57.497) Prec@5 76.562 (79.564) Epoch: [31][7240/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.6614 (1.8862) Prec@1 61.719 (57.499) Prec@5 79.688 (79.565) Epoch: [31][7250/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.1331 (1.8863) Prec@1 56.250 (57.495) Prec@5 76.562 (79.562) Epoch: [31][7260/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9449 (1.8863) Prec@1 56.250 (57.493) Prec@5 78.125 (79.562) Epoch: [31][7270/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.9243 (1.8863) Prec@1 57.031 (57.494) Prec@5 82.031 (79.562) Epoch: [31][7280/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6996 (1.8862) Prec@1 61.719 (57.495) Prec@5 82.812 (79.564) Epoch: [31][7290/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.7537 (1.8861) Prec@1 60.156 (57.498) Prec@5 80.469 (79.565) Epoch: [31][7300/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.7155 (1.8860) Prec@1 60.156 (57.497) Prec@5 82.031 (79.566) Epoch: [31][7310/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.8369 (1.8859) Prec@1 61.719 (57.500) Prec@5 81.250 (79.568) Epoch: [31][7320/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.7849 (1.8859) Prec@1 57.812 (57.502) Prec@5 80.469 (79.567) Epoch: [31][7330/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.0866 (1.8859) Prec@1 55.469 (57.503) Prec@5 73.438 (79.567) Epoch: [31][7340/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.7064 (1.8858) Prec@1 60.938 (57.507) Prec@5 84.375 (79.568) Epoch: [31][7350/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.5952 (1.8858) Prec@1 59.375 (57.506) Prec@5 85.938 (79.568) Epoch: [31][7360/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.5217 (1.8858) Prec@1 65.625 (57.507) Prec@5 85.938 (79.569) Epoch: [31][7370/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.7888 (1.8858) Prec@1 63.281 (57.509) Prec@5 79.688 (79.569) Epoch: [31][7380/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.8921 (1.8859) Prec@1 57.812 (57.508) Prec@5 78.125 (79.569) Epoch: [31][7390/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.9875 (1.8858) Prec@1 49.219 (57.507) Prec@5 76.562 (79.570) Epoch: [31][7400/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.8788 (1.8857) Prec@1 57.031 (57.507) Prec@5 78.906 (79.573) Epoch: [31][7410/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.1817 (1.8857) Prec@1 51.562 (57.508) Prec@5 77.344 (79.573) Epoch: [31][7420/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8633 (1.8857) Prec@1 50.781 (57.508) Prec@5 78.906 (79.573) Epoch: [31][7430/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.6725 (1.8857) Prec@1 57.812 (57.509) Prec@5 82.812 (79.573) Epoch: [31][7440/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.8692 (1.8857) Prec@1 60.156 (57.509) Prec@5 76.562 (79.570) Epoch: [31][7450/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.4606 (1.8856) Prec@1 70.312 (57.513) Prec@5 85.938 (79.573) Epoch: [31][7460/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.9641 (1.8855) Prec@1 58.594 (57.515) Prec@5 77.344 (79.575) Epoch: [31][7470/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6750 (1.8854) Prec@1 63.281 (57.517) Prec@5 82.812 (79.575) Epoch: [31][7480/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.0254 (1.8855) Prec@1 55.469 (57.515) Prec@5 74.219 (79.572) Epoch: [31][7490/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.9126 (1.8855) Prec@1 53.906 (57.515) Prec@5 78.125 (79.572) Epoch: [31][7500/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6493 (1.8855) Prec@1 63.281 (57.516) Prec@5 82.812 (79.572) Epoch: [31][7510/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.0966 (1.8854) Prec@1 53.906 (57.518) Prec@5 78.125 (79.574) Epoch: [31][7520/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.9400 (1.8854) Prec@1 58.594 (57.518) Prec@5 78.125 (79.573) Epoch: [31][7530/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6664 (1.8854) Prec@1 59.375 (57.518) Prec@5 84.375 (79.571) Epoch: [31][7540/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.4920 (1.8854) Prec@1 65.625 (57.519) Prec@5 85.156 (79.570) Epoch: [31][7550/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.0906 (1.8853) Prec@1 50.781 (57.521) Prec@5 76.562 (79.572) Epoch: [31][7560/10010] Time 0.313 (0.330) Data 0.001 (0.001) Loss 1.7615 (1.8852) Prec@1 57.812 (57.523) Prec@5 77.344 (79.574) Epoch: [31][7570/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.7979 (1.8850) Prec@1 61.719 (57.526) Prec@5 81.250 (79.577) Epoch: [31][7580/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.9178 (1.8850) Prec@1 59.375 (57.528) Prec@5 80.469 (79.576) Epoch: [31][7590/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.7981 (1.8849) Prec@1 60.938 (57.531) Prec@5 79.688 (79.576) Epoch: [31][7600/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.5914 (1.8847) Prec@1 67.969 (57.536) Prec@5 81.250 (79.579) Epoch: [31][7610/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6695 (1.8848) Prec@1 64.062 (57.536) Prec@5 82.031 (79.579) Epoch: [31][7620/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.9002 (1.8848) Prec@1 56.250 (57.534) Prec@5 80.469 (79.577) Epoch: [31][7630/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.8003 (1.8848) Prec@1 61.719 (57.536) Prec@5 78.125 (79.578) Epoch: [31][7640/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.9729 (1.8847) Prec@1 54.688 (57.538) Prec@5 75.000 (79.578) Epoch: [31][7650/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.5887 (1.8845) Prec@1 63.281 (57.542) Prec@5 85.156 (79.582) Epoch: [31][7660/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0320 (1.8845) Prec@1 53.125 (57.545) Prec@5 78.906 (79.582) Epoch: [31][7670/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9149 (1.8844) Prec@1 56.250 (57.544) Prec@5 80.469 (79.583) Epoch: [31][7680/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8370 (1.8843) Prec@1 53.906 (57.546) Prec@5 78.906 (79.585) Epoch: [31][7690/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.6677 (1.8842) Prec@1 60.938 (57.549) Prec@5 81.250 (79.585) Epoch: [31][7700/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8640 (1.8844) Prec@1 54.688 (57.545) Prec@5 83.594 (79.583) Epoch: [31][7710/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.7323 (1.8844) Prec@1 57.812 (57.544) Prec@5 79.688 (79.582) Epoch: [31][7720/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.8611 (1.8843) Prec@1 57.812 (57.545) Prec@5 80.469 (79.584) Epoch: [31][7730/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7041 (1.8843) Prec@1 61.719 (57.543) Prec@5 81.250 (79.583) Epoch: [31][7740/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.9994 (1.8843) Prec@1 53.906 (57.543) Prec@5 78.125 (79.584) Epoch: [31][7750/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7958 (1.8842) Prec@1 53.906 (57.544) Prec@5 83.594 (79.584) Epoch: [31][7760/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.9300 (1.8842) Prec@1 54.688 (57.544) Prec@5 78.906 (79.586) Epoch: [31][7770/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.7628 (1.8842) Prec@1 60.156 (57.544) Prec@5 80.469 (79.586) Epoch: [31][7780/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8582 (1.8842) Prec@1 56.250 (57.543) Prec@5 75.781 (79.586) Epoch: [31][7790/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.7823 (1.8842) Prec@1 60.938 (57.544) Prec@5 79.688 (79.585) Epoch: [31][7800/10010] Time 0.323 (0.330) Data 0.003 (0.001) Loss 1.8592 (1.8841) Prec@1 56.250 (57.544) Prec@5 80.469 (79.586) Epoch: [31][7810/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.9237 (1.8842) Prec@1 53.906 (57.542) Prec@5 78.906 (79.585) Epoch: [31][7820/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.9279 (1.8842) Prec@1 58.594 (57.541) Prec@5 77.344 (79.585) Epoch: [31][7830/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 1.5915 (1.8841) Prec@1 61.719 (57.542) Prec@5 82.812 (79.588) Epoch: [31][7840/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.8794 (1.8840) Prec@1 53.125 (57.542) Prec@5 78.906 (79.590) Epoch: [31][7850/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.9368 (1.8840) Prec@1 58.594 (57.542) Prec@5 78.906 (79.591) Epoch: [31][7860/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.5715 (1.8839) Prec@1 69.531 (57.546) Prec@5 85.938 (79.592) Epoch: [31][7870/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.8834 (1.8839) Prec@1 62.500 (57.547) Prec@5 77.344 (79.591) Epoch: [31][7880/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9658 (1.8839) Prec@1 57.812 (57.546) Prec@5 77.344 (79.592) Epoch: [31][7890/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.7533 (1.8839) Prec@1 65.625 (57.547) Prec@5 78.906 (79.591) Epoch: [31][7900/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 1.8851 (1.8838) Prec@1 64.062 (57.548) Prec@5 82.031 (79.593) Epoch: [31][7910/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.6882 (1.8839) Prec@1 59.375 (57.547) Prec@5 82.812 (79.592) Epoch: [31][7920/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.9089 (1.8838) Prec@1 53.125 (57.547) Prec@5 77.344 (79.594) Epoch: [31][7930/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8532 (1.8839) Prec@1 60.156 (57.547) Prec@5 77.344 (79.592) Epoch: [31][7940/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8542 (1.8839) Prec@1 56.250 (57.547) Prec@5 81.250 (79.592) Epoch: [31][7950/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.6078 (1.8838) Prec@1 57.812 (57.547) Prec@5 84.375 (79.593) Epoch: [31][7960/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.7551 (1.8839) Prec@1 60.938 (57.545) Prec@5 80.469 (79.592) Epoch: [31][7970/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.7341 (1.8839) Prec@1 58.594 (57.545) Prec@5 83.594 (79.592) Epoch: [31][7980/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8895 (1.8838) Prec@1 54.688 (57.548) Prec@5 77.344 (79.594) Epoch: [31][7990/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.2097 (1.8838) Prec@1 56.250 (57.549) Prec@5 70.312 (79.596) Epoch: [31][8000/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.6957 (1.8838) Prec@1 56.250 (57.547) Prec@5 81.250 (79.595) Epoch: [31][8010/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.0500 (1.8839) Prec@1 53.125 (57.546) Prec@5 80.469 (79.594) Epoch: [31][8020/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.9907 (1.8839) Prec@1 52.344 (57.547) Prec@5 78.906 (79.595) Epoch: [31][8030/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.7913 (1.8839) Prec@1 57.812 (57.548) Prec@5 83.594 (79.596) Epoch: [31][8040/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.8845 (1.8838) Prec@1 54.688 (57.549) Prec@5 81.250 (79.596) Epoch: [31][8050/10010] Time 0.335 (0.330) Data 0.003 (0.001) Loss 2.2086 (1.8838) Prec@1 54.688 (57.550) Prec@5 74.219 (79.596) Epoch: [31][8060/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.1688 (1.8839) Prec@1 53.906 (57.549) Prec@5 75.000 (79.593) Epoch: [31][8070/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7121 (1.8838) Prec@1 62.500 (57.548) Prec@5 83.594 (79.594) Epoch: [31][8080/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.8476 (1.8839) Prec@1 60.156 (57.547) Prec@5 80.469 (79.591) Epoch: [31][8090/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.9745 (1.8837) Prec@1 55.469 (57.550) Prec@5 77.344 (79.594) Epoch: [31][8100/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 2.0073 (1.8837) Prec@1 52.344 (57.552) Prec@5 78.906 (79.596) Epoch: [31][8110/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.8280 (1.8836) Prec@1 55.469 (57.552) Prec@5 81.250 (79.598) Epoch: [31][8120/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.7652 (1.8836) Prec@1 60.156 (57.552) Prec@5 83.594 (79.597) Epoch: [31][8130/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7711 (1.8836) Prec@1 61.719 (57.552) Prec@5 80.469 (79.598) Epoch: [31][8140/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.7710 (1.8836) Prec@1 56.250 (57.551) Prec@5 81.250 (79.597) Epoch: [31][8150/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.0400 (1.8836) Prec@1 56.250 (57.550) Prec@5 75.000 (79.596) Epoch: [31][8160/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.2940 (1.8838) Prec@1 53.125 (57.547) Prec@5 71.875 (79.594) Epoch: [31][8170/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.9552 (1.8837) Prec@1 57.031 (57.549) Prec@5 77.344 (79.596) Epoch: [31][8180/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.4866 (1.8836) Prec@1 64.062 (57.553) Prec@5 85.156 (79.598) Epoch: [31][8190/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.0798 (1.8836) Prec@1 48.438 (57.550) Prec@5 78.125 (79.598) Epoch: [31][8200/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 2.5245 (1.8837) Prec@1 46.094 (57.550) Prec@5 69.531 (79.597) Epoch: [31][8210/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.6192 (1.8836) Prec@1 65.625 (57.552) Prec@5 84.375 (79.597) Epoch: [31][8220/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8109 (1.8836) Prec@1 57.812 (57.551) Prec@5 82.031 (79.598) Epoch: [31][8230/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.6045 (1.8835) Prec@1 60.156 (57.552) Prec@5 86.719 (79.599) Epoch: [31][8240/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.6808 (1.8835) Prec@1 61.719 (57.553) Prec@5 82.031 (79.601) Epoch: [31][8250/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.7006 (1.8835) Prec@1 62.500 (57.554) Prec@5 85.938 (79.602) /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: [31][8260/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.9852 (1.8834) Prec@1 53.906 (57.556) Prec@5 77.344 (79.604) Epoch: [31][8270/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.1081 (1.8834) Prec@1 53.125 (57.556) Prec@5 77.344 (79.602) Epoch: [31][8280/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.9035 (1.8834) Prec@1 59.375 (57.556) Prec@5 81.250 (79.602) Epoch: [31][8290/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.8364 (1.8834) Prec@1 63.281 (57.555) Prec@5 78.125 (79.602) Epoch: [31][8300/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.8552 (1.8836) Prec@1 57.812 (57.552) Prec@5 78.906 (79.600) Epoch: [31][8310/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.0455 (1.8836) Prec@1 55.469 (57.553) Prec@5 77.344 (79.600) Epoch: [31][8320/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.8973 (1.8836) Prec@1 60.156 (57.553) Prec@5 82.812 (79.601) Epoch: [31][8330/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8878 (1.8836) Prec@1 57.031 (57.553) Prec@5 83.594 (79.603) Epoch: [31][8340/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7817 (1.8837) Prec@1 57.812 (57.551) Prec@5 82.812 (79.601) Epoch: [31][8350/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8798 (1.8838) Prec@1 53.906 (57.549) Prec@5 76.562 (79.600) Epoch: [31][8360/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.9004 (1.8838) Prec@1 57.031 (57.549) Prec@5 78.906 (79.600) Epoch: [31][8370/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.6344 (1.8840) Prec@1 64.844 (57.544) Prec@5 82.812 (79.597) Epoch: [31][8380/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.4716 (1.8839) Prec@1 63.281 (57.547) Prec@5 86.719 (79.600) Epoch: [31][8390/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.1107 (1.8839) Prec@1 54.688 (57.547) Prec@5 78.906 (79.600) Epoch: [31][8400/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9184 (1.8839) Prec@1 59.375 (57.547) Prec@5 75.781 (79.601) Epoch: [31][8410/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.8697 (1.8839) Prec@1 53.906 (57.546) Prec@5 78.125 (79.602) Epoch: [31][8420/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.9750 (1.8839) Prec@1 55.469 (57.546) Prec@5 78.125 (79.601) Epoch: [31][8430/10010] Time 0.322 (0.330) Data 0.002 (0.001) Loss 1.7977 (1.8838) Prec@1 58.594 (57.546) Prec@5 81.250 (79.602) Epoch: [31][8440/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8573 (1.8837) Prec@1 56.250 (57.547) Prec@5 79.688 (79.605) Epoch: [31][8450/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.0643 (1.8836) Prec@1 51.562 (57.547) Prec@5 78.125 (79.607) Epoch: [31][8460/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.7508 (1.8836) Prec@1 63.281 (57.548) Prec@5 84.375 (79.606) Epoch: [31][8470/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.9274 (1.8836) Prec@1 57.031 (57.548) Prec@5 80.469 (79.608) Epoch: [31][8480/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.4835 (1.8835) Prec@1 62.500 (57.548) Prec@5 86.719 (79.607) Epoch: [31][8490/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.0668 (1.8835) Prec@1 54.688 (57.548) Prec@5 82.812 (79.609) Epoch: [31][8500/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.3172 (1.8834) Prec@1 69.531 (57.550) Prec@5 85.938 (79.610) Epoch: [31][8510/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8593 (1.8833) Prec@1 57.812 (57.555) Prec@5 81.250 (79.612) Epoch: [31][8520/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9989 (1.8832) Prec@1 54.688 (57.557) Prec@5 76.562 (79.614) Epoch: [31][8530/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8612 (1.8832) Prec@1 55.469 (57.554) Prec@5 80.469 (79.612) Epoch: [31][8540/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 1.9548 (1.8832) Prec@1 58.594 (57.555) Prec@5 75.781 (79.613) Epoch: [31][8550/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.8806 (1.8834) Prec@1 57.812 (57.552) Prec@5 78.125 (79.612) Epoch: [31][8560/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.8182 (1.8834) Prec@1 59.375 (57.552) Prec@5 78.906 (79.611) Epoch: [31][8570/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9907 (1.8833) Prec@1 54.688 (57.551) Prec@5 79.688 (79.612) Epoch: [31][8580/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.6132 (1.8832) Prec@1 58.594 (57.553) Prec@5 83.594 (79.614) Epoch: [31][8590/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.1913 (1.8832) Prec@1 50.781 (57.552) Prec@5 75.781 (79.614) Epoch: [31][8600/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.9588 (1.8831) Prec@1 59.375 (57.554) Prec@5 78.906 (79.615) Epoch: [31][8610/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.0493 (1.8832) Prec@1 54.688 (57.553) Prec@5 75.000 (79.614) Epoch: [31][8620/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.0230 (1.8833) Prec@1 59.375 (57.553) Prec@5 78.125 (79.612) Epoch: [31][8630/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.7723 (1.8833) Prec@1 67.188 (57.553) Prec@5 79.688 (79.611) Epoch: [31][8640/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.6527 (1.8834) Prec@1 64.062 (57.554) Prec@5 80.469 (79.610) Epoch: [31][8650/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.1414 (1.8834) Prec@1 57.812 (57.553) Prec@5 75.781 (79.608) Epoch: [31][8660/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8160 (1.8834) Prec@1 57.812 (57.553) Prec@5 76.562 (79.608) Epoch: [31][8670/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.8247 (1.8834) Prec@1 59.375 (57.555) Prec@5 79.688 (79.608) Epoch: [31][8680/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.0319 (1.8834) Prec@1 54.688 (57.556) Prec@5 73.438 (79.608) Epoch: [31][8690/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.8385 (1.8834) Prec@1 57.031 (57.555) Prec@5 79.688 (79.607) Epoch: [31][8700/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 1.8597 (1.8834) Prec@1 58.594 (57.555) Prec@5 79.688 (79.606) Epoch: [31][8710/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.8447 (1.8835) Prec@1 53.125 (57.555) Prec@5 82.031 (79.606) Epoch: [31][8720/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7014 (1.8835) Prec@1 61.719 (57.555) Prec@5 83.594 (79.606) Epoch: [31][8730/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.5850 (1.8836) Prec@1 60.938 (57.553) Prec@5 82.812 (79.605) Epoch: [31][8740/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.6262 (1.8835) Prec@1 62.500 (57.554) Prec@5 85.938 (79.606) Epoch: [31][8750/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8620 (1.8835) Prec@1 61.719 (57.555) Prec@5 77.344 (79.608) Epoch: [31][8760/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.8838 (1.8834) Prec@1 61.719 (57.558) Prec@5 80.469 (79.610) Epoch: [31][8770/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 2.1359 (1.8834) Prec@1 52.344 (57.557) Prec@5 72.656 (79.608) Epoch: [31][8780/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9102 (1.8834) Prec@1 58.594 (57.557) Prec@5 78.906 (79.608) Epoch: [31][8790/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7974 (1.8834) Prec@1 60.156 (57.557) Prec@5 77.344 (79.607) Epoch: [31][8800/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.9873 (1.8835) Prec@1 60.156 (57.556) Prec@5 78.125 (79.606) Epoch: [31][8810/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.0098 (1.8835) Prec@1 55.469 (57.554) Prec@5 75.000 (79.607) Epoch: [31][8820/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.0282 (1.8836) Prec@1 58.594 (57.554) Prec@5 79.688 (79.606) Epoch: [31][8830/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9835 (1.8836) Prec@1 54.688 (57.552) Prec@5 77.344 (79.608) Epoch: [31][8840/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8510 (1.8836) Prec@1 64.062 (57.552) Prec@5 77.344 (79.605) Epoch: [31][8850/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.5283 (1.8835) Prec@1 65.625 (57.554) Prec@5 86.719 (79.608) Epoch: [31][8860/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0771 (1.8835) Prec@1 55.469 (57.553) Prec@5 79.688 (79.608) Epoch: [31][8870/10010] Time 0.349 (0.330) Data 0.001 (0.001) Loss 1.4609 (1.8835) Prec@1 67.188 (57.554) Prec@5 85.938 (79.608) Epoch: [31][8880/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8229 (1.8836) Prec@1 56.250 (57.554) Prec@5 79.688 (79.606) Epoch: [31][8890/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.5464 (1.8836) Prec@1 67.188 (57.554) Prec@5 85.156 (79.605) Epoch: [31][8900/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.8668 (1.8835) Prec@1 57.031 (57.557) Prec@5 79.688 (79.607) Epoch: [31][8910/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8235 (1.8835) Prec@1 63.281 (57.557) Prec@5 79.688 (79.606) Epoch: [31][8920/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.8637 (1.8835) Prec@1 53.906 (57.557) Prec@5 77.344 (79.605) Epoch: [31][8930/10010] Time 0.312 (0.330) Data 0.000 (0.001) Loss 2.0280 (1.8836) Prec@1 54.688 (57.555) Prec@5 74.219 (79.603) Epoch: [31][8940/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.0300 (1.8837) Prec@1 48.438 (57.552) Prec@5 77.344 (79.600) Epoch: [31][8950/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9482 (1.8837) Prec@1 57.812 (57.551) Prec@5 78.906 (79.601) Epoch: [31][8960/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.0790 (1.8837) Prec@1 50.781 (57.550) Prec@5 78.125 (79.602) Epoch: [31][8970/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7245 (1.8837) Prec@1 61.719 (57.551) Prec@5 83.594 (79.604) Epoch: [31][8980/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.7788 (1.8836) Prec@1 60.938 (57.550) Prec@5 84.375 (79.605) Epoch: [31][8990/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.7988 (1.8835) Prec@1 58.594 (57.551) Prec@5 82.031 (79.606) Epoch: [31][9000/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.1799 (1.8836) Prec@1 54.688 (57.551) Prec@5 73.438 (79.605) Epoch: [31][9010/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.0196 (1.8835) Prec@1 53.906 (57.552) Prec@5 82.031 (79.605) Epoch: [31][9020/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.2280 (1.8835) Prec@1 53.125 (57.552) Prec@5 78.125 (79.606) Epoch: [31][9030/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.6938 (1.8835) Prec@1 60.938 (57.553) Prec@5 82.031 (79.607) Epoch: [31][9040/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.0407 (1.8834) Prec@1 57.812 (57.555) Prec@5 78.125 (79.608) Epoch: [31][9050/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7335 (1.8834) Prec@1 63.281 (57.556) Prec@5 81.250 (79.606) Epoch: [31][9060/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.1330 (1.8835) Prec@1 56.250 (57.557) Prec@5 74.219 (79.606) Epoch: [31][9070/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.0621 (1.8836) Prec@1 55.469 (57.555) Prec@5 75.000 (79.605) Epoch: [31][9080/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.8267 (1.8836) Prec@1 57.031 (57.555) Prec@5 81.250 (79.606) Epoch: [31][9090/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.6756 (1.8836) Prec@1 63.281 (57.556) Prec@5 82.031 (79.605) Epoch: [31][9100/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.7366 (1.8836) Prec@1 62.500 (57.556) Prec@5 82.031 (79.604) Epoch: [31][9110/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.1138 (1.8837) Prec@1 53.906 (57.555) Prec@5 79.688 (79.604) Epoch: [31][9120/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.9940 (1.8836) Prec@1 63.281 (57.556) Prec@5 77.344 (79.605) Epoch: [31][9130/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.9371 (1.8835) Prec@1 57.812 (57.559) Prec@5 77.344 (79.608) Epoch: [31][9140/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7571 (1.8834) Prec@1 58.594 (57.560) Prec@5 84.375 (79.609) Epoch: [31][9150/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.0430 (1.8835) Prec@1 54.688 (57.560) Prec@5 81.250 (79.609) Epoch: [31][9160/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.2016 (1.8835) Prec@1 50.000 (57.561) Prec@5 76.562 (79.609) Epoch: [31][9170/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.9255 (1.8835) Prec@1 55.469 (57.559) Prec@5 77.344 (79.609) Epoch: [31][9180/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.9014 (1.8835) Prec@1 56.250 (57.562) Prec@5 80.469 (79.610) Epoch: [31][9190/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.0357 (1.8836) Prec@1 57.031 (57.560) Prec@5 80.469 (79.609) Epoch: [31][9200/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.6912 (1.8836) Prec@1 57.031 (57.560) Prec@5 84.375 (79.609) Epoch: [31][9210/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.5839 (1.8835) Prec@1 62.500 (57.563) Prec@5 82.812 (79.611) Epoch: [31][9220/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.0114 (1.8835) Prec@1 60.156 (57.564) Prec@5 79.688 (79.610) Epoch: [31][9230/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.6719 (1.8835) Prec@1 62.500 (57.565) Prec@5 78.906 (79.608) Epoch: [31][9240/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.0473 (1.8835) Prec@1 52.344 (57.564) Prec@5 81.250 (79.609) Epoch: [31][9250/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.7769 (1.8833) Prec@1 58.594 (57.567) Prec@5 80.469 (79.611) Epoch: [31][9260/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.0344 (1.8834) Prec@1 56.250 (57.564) Prec@5 78.125 (79.610) Epoch: [31][9270/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.9278 (1.8834) Prec@1 55.469 (57.563) Prec@5 78.125 (79.610) Epoch: [31][9280/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.7388 (1.8834) Prec@1 58.594 (57.563) Prec@5 80.469 (79.611) Epoch: [31][9290/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.7764 (1.8834) Prec@1 57.812 (57.560) Prec@5 82.812 (79.611) Epoch: [31][9300/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.5045 (1.8833) Prec@1 64.062 (57.560) Prec@5 85.156 (79.611) Epoch: [31][9310/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.5051 (1.8832) Prec@1 61.719 (57.561) Prec@5 85.938 (79.612) Epoch: [31][9320/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.7159 (1.8832) Prec@1 63.281 (57.560) Prec@5 81.250 (79.612) Epoch: [31][9330/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.1962 (1.8833) Prec@1 53.906 (57.560) Prec@5 76.562 (79.611) Epoch: [31][9340/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 1.9775 (1.8833) Prec@1 55.469 (57.561) Prec@5 75.781 (79.611) Epoch: [31][9350/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7825 (1.8831) Prec@1 63.281 (57.564) Prec@5 81.250 (79.613) Epoch: [31][9360/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.0734 (1.8831) Prec@1 51.562 (57.563) Prec@5 76.562 (79.614) Epoch: [31][9370/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.4309 (1.8830) Prec@1 64.844 (57.564) Prec@5 87.500 (79.616) Epoch: [31][9380/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.4750 (1.8830) Prec@1 59.375 (57.564) Prec@5 87.500 (79.617) Epoch: [31][9390/10010] Time 0.348 (0.330) Data 0.001 (0.001) Loss 2.2678 (1.8830) Prec@1 52.344 (57.563) Prec@5 76.562 (79.615) Epoch: [31][9400/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.7587 (1.8830) Prec@1 57.812 (57.563) Prec@5 82.031 (79.617) Epoch: [31][9410/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.7012 (1.8829) Prec@1 61.719 (57.565) Prec@5 85.938 (79.617) Epoch: [31][9420/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.9750 (1.8829) Prec@1 60.156 (57.566) Prec@5 79.688 (79.618) Epoch: [31][9430/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8396 (1.8830) Prec@1 51.562 (57.564) Prec@5 81.250 (79.617) Epoch: [31][9440/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7735 (1.8829) Prec@1 56.250 (57.564) Prec@5 82.812 (79.618) Epoch: [31][9450/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.1069 (1.8831) Prec@1 50.781 (57.565) Prec@5 75.781 (79.615) Epoch: [31][9460/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.9311 (1.8830) Prec@1 60.156 (57.565) Prec@5 81.250 (79.616) Epoch: [31][9470/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8276 (1.8831) Prec@1 59.375 (57.564) Prec@5 82.031 (79.614) Epoch: [31][9480/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.2559 (1.8829) Prec@1 52.344 (57.566) Prec@5 75.781 (79.616) Epoch: [31][9490/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.0808 (1.8829) Prec@1 50.000 (57.565) Prec@5 78.906 (79.618) Epoch: [31][9500/10010] Time 0.348 (0.330) Data 0.001 (0.001) Loss 1.6988 (1.8830) Prec@1 63.281 (57.564) Prec@5 82.812 (79.618) Epoch: [31][9510/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8467 (1.8829) Prec@1 60.938 (57.566) Prec@5 77.344 (79.618) Epoch: [31][9520/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7947 (1.8828) Prec@1 59.375 (57.567) Prec@5 82.031 (79.619) Epoch: [31][9530/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8525 (1.8828) Prec@1 53.906 (57.568) Prec@5 82.031 (79.621) Epoch: [31][9540/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 2.2398 (1.8828) Prec@1 49.219 (57.566) Prec@5 73.438 (79.620) Epoch: [31][9550/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0801 (1.8828) Prec@1 55.469 (57.568) Prec@5 78.906 (79.620) Epoch: [31][9560/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.8151 (1.8828) Prec@1 59.375 (57.567) Prec@5 78.906 (79.621) Epoch: [31][9570/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.0422 (1.8827) Prec@1 51.562 (57.568) Prec@5 75.000 (79.621) Epoch: [31][9580/10010] Time 0.312 (0.330) Data 0.001 (0.001) Loss 1.6717 (1.8827) Prec@1 57.812 (57.568) Prec@5 83.594 (79.622) Epoch: [31][9590/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 2.0615 (1.8825) Prec@1 55.469 (57.570) Prec@5 75.000 (79.622) Epoch: [31][9600/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7335 (1.8825) Prec@1 58.594 (57.570) Prec@5 81.250 (79.622) Epoch: [31][9610/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.1517 (1.8825) Prec@1 52.344 (57.571) Prec@5 75.781 (79.623) Epoch: [31][9620/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.8695 (1.8825) Prec@1 58.594 (57.572) Prec@5 81.250 (79.622) Epoch: [31][9630/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.9803 (1.8825) Prec@1 57.812 (57.573) Prec@5 79.688 (79.623) Epoch: [31][9640/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.8302 (1.8826) Prec@1 57.812 (57.572) Prec@5 80.469 (79.620) Epoch: [31][9650/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 1.9272 (1.8826) Prec@1 52.344 (57.571) Prec@5 79.688 (79.621) Epoch: [31][9660/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.9413 (1.8825) Prec@1 56.250 (57.571) Prec@5 79.688 (79.621) Epoch: [31][9670/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0399 (1.8825) Prec@1 55.469 (57.571) Prec@5 76.562 (79.621) Epoch: [31][9680/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7190 (1.8825) Prec@1 59.375 (57.573) Prec@5 84.375 (79.621) Epoch: [31][9690/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.4149 (1.8824) Prec@1 66.406 (57.574) Prec@5 86.719 (79.622) Epoch: [31][9700/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8529 (1.8823) Prec@1 53.125 (57.574) Prec@5 80.469 (79.623) Epoch: [31][9710/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.1497 (1.8823) Prec@1 51.562 (57.571) Prec@5 77.344 (79.623) Epoch: [31][9720/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.9059 (1.8823) Prec@1 57.812 (57.571) Prec@5 79.688 (79.622) Epoch: [31][9730/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6961 (1.8824) Prec@1 60.938 (57.570) Prec@5 82.031 (79.622) Epoch: [31][9740/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.9326 (1.8824) Prec@1 55.469 (57.569) Prec@5 78.125 (79.622) Epoch: [31][9750/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7065 (1.8823) Prec@1 57.812 (57.571) Prec@5 84.375 (79.623) Epoch: [31][9760/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.4884 (1.8823) Prec@1 67.188 (57.571) Prec@5 84.375 (79.622) Epoch: [31][9770/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.1156 (1.8824) Prec@1 50.000 (57.569) Prec@5 73.438 (79.619) Epoch: [31][9780/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.0309 (1.8825) Prec@1 53.906 (57.566) Prec@5 76.562 (79.620) Epoch: [31][9790/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.3924 (1.8826) Prec@1 48.438 (57.565) Prec@5 73.438 (79.618) Epoch: [31][9800/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.0679 (1.8826) Prec@1 54.688 (57.565) Prec@5 78.125 (79.620) Epoch: [31][9810/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.0924 (1.8826) Prec@1 57.812 (57.566) Prec@5 77.344 (79.620) Epoch: [31][9820/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8280 (1.8826) Prec@1 59.375 (57.566) Prec@5 81.250 (79.619) Epoch: [31][9830/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.6518 (1.8827) Prec@1 64.062 (57.565) Prec@5 85.156 (79.618) Epoch: [31][9840/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.8387 (1.8827) Prec@1 57.031 (57.567) Prec@5 77.344 (79.618) Epoch: [31][9850/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8012 (1.8827) Prec@1 58.594 (57.566) Prec@5 80.469 (79.618) Epoch: [31][9860/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7150 (1.8827) Prec@1 57.812 (57.566) Prec@5 83.594 (79.618) Epoch: [31][9870/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 2.0215 (1.8828) Prec@1 49.219 (57.564) Prec@5 78.906 (79.618) Epoch: [31][9880/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.7519 (1.8828) Prec@1 59.375 (57.563) Prec@5 84.375 (79.619) Epoch: [31][9890/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8146 (1.8828) Prec@1 60.938 (57.563) Prec@5 78.906 (79.619) Epoch: [31][9900/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7401 (1.8828) Prec@1 58.594 (57.564) Prec@5 83.594 (79.620) Epoch: [31][9910/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.0697 (1.8827) Prec@1 53.906 (57.566) Prec@5 75.000 (79.618) Epoch: [31][9920/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.2509 (1.8828) Prec@1 53.125 (57.565) Prec@5 77.344 (79.619) Epoch: [31][9930/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.9222 (1.8827) Prec@1 57.031 (57.565) Prec@5 79.688 (79.619) Epoch: [31][9940/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.0353 (1.8826) Prec@1 57.031 (57.568) Prec@5 77.344 (79.620) Epoch: [31][9950/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8470 (1.8826) Prec@1 60.156 (57.569) Prec@5 79.688 (79.620) Epoch: [31][9960/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.9804 (1.8826) Prec@1 50.000 (57.570) Prec@5 82.031 (79.621) Epoch: [31][9970/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0406 (1.8825) Prec@1 54.688 (57.571) Prec@5 76.562 (79.621) Epoch: [31][9980/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.5848 (1.8825) Prec@1 60.156 (57.572) Prec@5 85.156 (79.623) Epoch: [31][9990/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.9849 (1.8825) Prec@1 56.250 (57.571) Prec@5 78.906 (79.621) Epoch: [31][10000/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.2743 (1.8826) Prec@1 50.000 (57.569) Prec@5 68.750 (79.620) Test: [0/391] Time 1.510 (1.510) Loss 0.7770 (0.7770) Prec@1 83.594 (83.594) Prec@5 93.750 (93.750) Test: [10/391] Time 0.110 (0.233) Loss 1.4088 (0.8312) Prec@1 66.406 (80.114) Prec@5 86.719 (92.969) Test: [20/391] Time 0.201 (0.182) Loss 1.2162 (1.1268) Prec@1 73.438 (72.693) Prec@5 87.500 (90.030) Test: [30/391] Time 0.104 (0.157) Loss 1.7026 (1.2548) Prec@1 64.844 (69.078) Prec@5 82.031 (89.214) Test: [40/391] Time 0.115 (0.145) Loss 1.3189 (1.1425) Prec@1 67.969 (71.894) Prec@5 85.938 (90.111) Test: [50/391] Time 0.106 (0.137) Loss 0.7095 (1.1852) Prec@1 81.250 (70.941) Prec@5 94.531 (89.522) Test: [60/391] Time 0.106 (0.132) Loss 1.1496 (1.1238) Prec@1 70.312 (72.451) Prec@5 90.625 (90.138) Test: [70/391] Time 0.104 (0.128) Loss 1.3131 (1.1674) Prec@1 62.500 (70.896) Prec@5 92.969 (89.954) Test: [80/391] Time 0.110 (0.126) Loss 1.1421 (1.1947) Prec@1 66.406 (69.502) Prec@5 89.844 (89.959) Test: [90/391] Time 0.107 (0.124) Loss 1.3302 (1.1970) Prec@1 62.500 (69.445) Prec@5 89.062 (90.024) Test: [100/391] Time 0.111 (0.122) Loss 0.9241 (1.1896) Prec@1 75.781 (69.206) Prec@5 94.531 (90.393) Test: [110/391] Time 0.108 (0.121) Loss 1.4799 (1.1889) Prec@1 50.781 (68.926) Prec@5 91.406 (90.491) Test: [120/391] Time 0.112 (0.120) Loss 1.0820 (1.1863) Prec@1 73.438 (69.189) Prec@5 91.406 (90.489) Test: [130/391] Time 0.103 (0.119) Loss 0.5704 (1.1776) Prec@1 89.062 (69.478) Prec@5 96.094 (90.571) Test: [140/391] Time 0.107 (0.118) Loss 1.4078 (1.1741) Prec@1 59.375 (69.520) Prec@5 92.188 (90.642) Test: [150/391] Time 0.110 (0.117) Loss 1.1549 (1.1791) Prec@1 60.938 (69.567) Prec@5 92.188 (90.532) Test: [160/391] Time 0.106 (0.117) Loss 1.3459 (1.1879) Prec@1 60.156 (69.439) Prec@5 87.500 (90.397) Test: [170/391] Time 0.111 (0.116) Loss 2.0353 (1.2303) Prec@1 47.656 (68.595) Prec@5 83.594 (89.821) Test: [180/391] Time 0.101 (0.116) Loss 2.3235 (1.2671) Prec@1 45.312 (67.882) Prec@5 81.250 (89.326) Test: [190/391] Time 0.108 (0.115) Loss 2.4955 (1.3103) Prec@1 42.969 (67.061) Prec@5 79.688 (88.678) Test: [200/391] Time 0.105 (0.115) Loss 1.6415 (1.3406) Prec@1 58.594 (66.511) Prec@5 85.156 (88.207) Test: [210/391] Time 0.104 (0.114) Loss 1.4405 (1.3608) Prec@1 65.625 (66.069) Prec@5 85.938 (87.922) Test: [220/391] Time 0.107 (0.114) Loss 0.8443 (1.3707) Prec@1 80.469 (65.993) Prec@5 92.188 (87.656) Test: [230/391] Time 0.109 (0.114) Loss 2.3956 (1.3857) Prec@1 44.531 (65.797) Prec@5 75.000 (87.466) Test: [240/391] Time 0.106 (0.113) Loss 1.6230 (1.3962) Prec@1 64.844 (65.700) Prec@5 82.812 (87.270) Test: [250/391] Time 0.101 (0.113) Loss 1.2996 (1.4250) Prec@1 71.875 (65.127) Prec@5 86.719 (86.896) Test: [260/391] Time 0.120 (0.113) Loss 1.8051 (1.4459) Prec@1 57.031 (64.688) Prec@5 81.250 (86.629) Test: [270/391] Time 0.103 (0.113) Loss 2.3114 (1.4581) Prec@1 37.500 (64.408) Prec@5 79.688 (86.425) Test: [280/391] Time 0.112 (0.113) Loss 1.6353 (1.4714) Prec@1 60.156 (64.199) Prec@5 84.375 (86.246) Test: [290/391] Time 0.108 (0.112) Loss 2.1189 (1.4900) Prec@1 42.969 (63.912) Prec@5 82.031 (85.938) Test: [300/391] Time 0.102 (0.112) Loss 1.5403 (1.5046) Prec@1 73.438 (63.665) Prec@5 85.938 (85.704) Test: [310/391] Time 0.106 (0.112) Loss 1.8428 (1.5136) Prec@1 59.375 (63.477) Prec@5 81.250 (85.583) Test: [320/391] Time 0.106 (0.112) Loss 0.9447 (1.5222) Prec@1 78.125 (63.332) Prec@5 92.969 (85.485) Test: [330/391] Time 0.105 (0.112) Loss 2.3136 (1.5455) Prec@1 48.438 (62.833) Prec@5 73.438 (85.142) Test: [340/391] Time 0.108 (0.112) Loss 1.6151 (1.5532) Prec@1 47.656 (62.566) Prec@5 88.281 (85.053) Test: [350/391] Time 0.107 (0.111) Loss 1.5571 (1.5580) Prec@1 67.188 (62.527) Prec@5 85.938 (84.936) Test: [360/391] Time 0.108 (0.111) Loss 1.4244 (1.5656) Prec@1 60.938 (62.359) Prec@5 89.844 (84.858) Test: [370/391] Time 0.105 (0.111) Loss 1.4594 (1.5611) Prec@1 57.812 (62.431) Prec@5 93.750 (84.931) Test: [380/391] Time 0.106 (0.111) Loss 0.9334 (1.5614) Prec@1 79.688 (62.422) Prec@5 92.188 (84.922) Test: [390/391] Time 0.077 (0.111) Loss 2.7711 (1.5541) Prec@1 38.750 (62.594) Prec@5 61.250 (85.012) * Prec@1 62.594 Prec@5 85.012 Epoch: [32][0/10010] Time 2.643 (2.643) Data 2.467 (2.467) Loss 1.4653 (1.4653) Prec@1 68.750 (68.750) Prec@5 84.375 (84.375) Epoch: [32][10/10010] Time 0.326 (0.534) Data 0.001 (0.225) Loss 1.8537 (1.9064) Prec@1 56.250 (58.452) Prec@5 78.906 (78.764) Epoch: [32][20/10010] Time 0.318 (0.432) Data 0.000 (0.118) Loss 1.9165 (1.9127) Prec@1 57.031 (58.743) Prec@5 78.906 (79.167) Epoch: [32][30/10010] Time 0.318 (0.397) Data 0.000 (0.080) Loss 1.5967 (1.9032) Prec@1 63.281 (58.493) Prec@5 82.812 (79.410) Epoch: [32][40/10010] Time 0.329 (0.379) Data 0.000 (0.061) Loss 2.0325 (1.8794) Prec@1 57.812 (58.518) Prec@5 80.469 (79.840) Epoch: [32][50/10010] Time 0.317 (0.367) Data 0.001 (0.049) Loss 2.0227 (1.8786) Prec@1 57.031 (58.410) Prec@5 74.219 (79.764) Epoch: [32][60/10010] Time 0.321 (0.362) Data 0.001 (0.041) Loss 1.9410 (1.8650) Prec@1 53.906 (58.414) Prec@5 78.125 (79.969) Epoch: [32][70/10010] Time 0.328 (0.356) Data 0.000 (0.035) Loss 1.7704 (1.8625) Prec@1 57.812 (58.440) Prec@5 82.812 (80.018) Epoch: [32][80/10010] Time 0.319 (0.353) Data 0.001 (0.031) Loss 2.0607 (1.8645) Prec@1 53.906 (58.372) Prec@5 78.906 (79.986) Epoch: [32][90/10010] Time 0.340 (0.350) Data 0.000 (0.028) Loss 1.6968 (1.8587) Prec@1 54.688 (58.302) Prec@5 84.375 (79.936) Epoch: [32][100/10010] Time 0.334 (0.348) Data 0.000 (0.025) Loss 1.5934 (1.8569) Prec@1 65.625 (58.246) Prec@5 85.156 (80.028) Epoch: [32][110/10010] Time 0.325 (0.346) Data 0.000 (0.023) Loss 1.9789 (1.8553) Prec@1 56.250 (58.298) Prec@5 78.125 (80.032) Epoch: [32][120/10010] Time 0.330 (0.345) Data 0.001 (0.021) Loss 1.9998 (1.8478) Prec@1 57.812 (58.400) Prec@5 73.438 (80.133) Epoch: [32][130/10010] Time 0.319 (0.344) Data 0.001 (0.019) Loss 2.1414 (1.8529) Prec@1 55.469 (58.284) Prec@5 73.438 (80.039) Epoch: [32][140/10010] Time 0.332 (0.343) Data 0.000 (0.018) Loss 1.9734 (1.8550) Prec@1 59.375 (58.322) Prec@5 71.875 (79.865) Epoch: [32][150/10010] Time 0.329 (0.342) Data 0.000 (0.017) Loss 1.6641 (1.8543) Prec@1 60.156 (58.154) Prec@5 82.812 (79.910) Epoch: [32][160/10010] Time 0.322 (0.342) Data 0.000 (0.016) Loss 1.7879 (1.8561) Prec@1 57.812 (58.075) Prec@5 82.031 (79.862) Epoch: [32][170/10010] Time 0.344 (0.342) Data 0.000 (0.015) Loss 1.6666 (1.8549) Prec@1 64.844 (58.132) Prec@5 81.250 (79.852) Epoch: [32][180/10010] Time 0.327 (0.341) Data 0.000 (0.014) Loss 1.9858 (1.8527) Prec@1 59.375 (58.158) Prec@5 74.219 (79.813) Epoch: [32][190/10010] Time 0.319 (0.341) Data 0.001 (0.014) Loss 1.5393 (1.8550) Prec@1 64.844 (58.115) Prec@5 83.594 (79.749) Epoch: [32][200/10010] Time 0.328 (0.340) Data 0.001 (0.013) Loss 2.2666 (1.8587) Prec@1 49.219 (58.065) Prec@5 75.781 (79.734) Epoch: [32][210/10010] Time 0.325 (0.340) Data 0.000 (0.012) Loss 1.9211 (1.8558) Prec@1 54.688 (58.038) Prec@5 77.344 (79.802) Epoch: [32][220/10010] Time 0.332 (0.339) Data 0.000 (0.012) Loss 2.0281 (1.8544) Prec@1 56.250 (58.095) Prec@5 79.688 (79.832) Epoch: [32][230/10010] Time 0.339 (0.339) Data 0.000 (0.011) Loss 1.6099 (1.8477) Prec@1 58.594 (58.239) Prec@5 82.812 (79.901) Epoch: [32][240/10010] Time 0.327 (0.338) Data 0.000 (0.011) Loss 1.5672 (1.8465) Prec@1 58.594 (58.250) Prec@5 85.938 (79.940) Epoch: [32][250/10010] Time 0.326 (0.337) Data 0.001 (0.010) Loss 1.4337 (1.8461) Prec@1 67.188 (58.264) Prec@5 85.938 (79.980) Epoch: [32][260/10010] Time 0.321 (0.337) Data 0.001 (0.010) Loss 1.8296 (1.8418) Prec@1 60.938 (58.324) Prec@5 78.906 (80.074) Epoch: [32][270/10010] Time 0.318 (0.337) Data 0.000 (0.010) Loss 2.0892 (1.8437) Prec@1 57.031 (58.311) Prec@5 75.000 (80.094) Epoch: [32][280/10010] Time 0.330 (0.336) Data 0.000 (0.009) Loss 1.8677 (1.8459) Prec@1 59.375 (58.238) Prec@5 79.688 (80.063) Epoch: [32][290/10010] Time 0.320 (0.336) Data 0.000 (0.009) Loss 2.2045 (1.8463) Prec@1 56.250 (58.274) Prec@5 75.781 (80.026) Epoch: [32][300/10010] Time 0.320 (0.336) Data 0.000 (0.009) Loss 1.8963 (1.8450) Prec@1 58.594 (58.311) Prec@5 79.688 (80.061) Epoch: [32][310/10010] Time 0.339 (0.336) Data 0.000 (0.009) Loss 1.7030 (1.8440) Prec@1 67.969 (58.307) Prec@5 81.250 (80.094) Epoch: [32][320/10010] Time 0.319 (0.335) Data 0.001 (0.008) Loss 1.7568 (1.8435) Prec@1 58.594 (58.331) Prec@5 78.906 (80.094) Epoch: [32][330/10010] Time 0.327 (0.335) Data 0.001 (0.008) Loss 1.6533 (1.8424) Prec@1 61.719 (58.360) Prec@5 83.594 (80.103) Epoch: [32][340/10010] Time 0.322 (0.335) Data 0.001 (0.008) Loss 2.2294 (1.8454) Prec@1 52.344 (58.305) Prec@5 75.000 (80.059) Epoch: [32][350/10010] Time 0.332 (0.335) Data 0.000 (0.008) Loss 1.8873 (1.8473) Prec@1 59.375 (58.282) Prec@5 82.031 (80.035) Epoch: [32][360/10010] Time 0.338 (0.335) Data 0.000 (0.007) Loss 1.7769 (1.8485) Prec@1 61.719 (58.282) Prec@5 81.250 (80.023) Epoch: [32][370/10010] Time 0.334 (0.334) Data 0.000 (0.007) Loss 1.9174 (1.8458) Prec@1 58.594 (58.322) Prec@5 79.688 (80.092) Epoch: [32][380/10010] Time 0.341 (0.334) Data 0.001 (0.007) Loss 1.8528 (1.8481) Prec@1 58.594 (58.270) Prec@5 82.031 (80.057) Epoch: [32][390/10010] Time 0.323 (0.334) Data 0.000 (0.007) Loss 1.8718 (1.8474) Prec@1 57.812 (58.258) Prec@5 80.469 (80.075) Epoch: [32][400/10010] Time 0.339 (0.334) Data 0.000 (0.007) Loss 1.7734 (1.8490) Prec@1 55.469 (58.189) Prec@5 81.250 (80.048) Epoch: [32][410/10010] Time 0.321 (0.334) Data 0.001 (0.007) Loss 2.0609 (1.8498) Prec@1 53.906 (58.204) Prec@5 76.562 (80.028) Epoch: [32][420/10010] Time 0.322 (0.334) Data 0.000 (0.006) Loss 1.9617 (1.8504) Prec@1 57.812 (58.195) Prec@5 76.562 (80.005) Epoch: [32][430/10010] Time 0.321 (0.334) Data 0.000 (0.006) Loss 1.6516 (1.8484) Prec@1 61.719 (58.238) Prec@5 82.812 (80.030) Epoch: [32][440/10010] Time 0.320 (0.334) Data 0.000 (0.006) Loss 1.6011 (1.8483) Prec@1 59.375 (58.266) Prec@5 83.594 (80.015) Epoch: [32][450/10010] Time 0.339 (0.334) Data 0.000 (0.006) Loss 2.0275 (1.8478) Prec@1 57.812 (58.268) Prec@5 73.438 (80.006) Epoch: [32][460/10010] Time 0.325 (0.334) Data 0.001 (0.006) Loss 1.8533 (1.8492) Prec@1 57.031 (58.253) Prec@5 80.469 (79.991) Epoch: [32][470/10010] Time 0.331 (0.334) Data 0.000 (0.006) Loss 1.8714 (1.8483) Prec@1 55.469 (58.270) Prec@5 80.469 (80.018) Epoch: [32][480/10010] Time 0.340 (0.334) Data 0.001 (0.006) Loss 2.0979 (1.8471) Prec@1 51.562 (58.284) Prec@5 76.562 (80.040) Epoch: [32][490/10010] Time 0.323 (0.333) Data 0.001 (0.006) Loss 1.7452 (1.8466) Prec@1 63.281 (58.271) Prec@5 82.031 (80.031) Epoch: [32][500/10010] Time 0.326 (0.333) Data 0.000 (0.006) Loss 1.8305 (1.8452) Prec@1 57.812 (58.307) Prec@5 77.344 (80.059) Epoch: [32][510/10010] Time 0.328 (0.334) Data 0.001 (0.005) Loss 1.8287 (1.8443) Prec@1 57.031 (58.319) Prec@5 83.594 (80.096) Epoch: [32][520/10010] Time 0.317 (0.333) Data 0.001 (0.005) Loss 1.7197 (1.8435) Prec@1 63.281 (58.351) Prec@5 82.812 (80.107) Epoch: [32][530/10010] Time 0.340 (0.333) Data 0.001 (0.005) Loss 1.6279 (1.8425) Prec@1 62.500 (58.380) Prec@5 83.594 (80.133) Epoch: [32][540/10010] Time 0.323 (0.333) Data 0.000 (0.005) Loss 1.5227 (1.8412) Prec@1 66.406 (58.419) Prec@5 84.375 (80.137) Epoch: [32][550/10010] Time 0.326 (0.333) Data 0.001 (0.005) Loss 1.9533 (1.8415) Prec@1 57.031 (58.400) Prec@5 77.344 (80.147) Epoch: [32][560/10010] Time 0.341 (0.333) Data 0.001 (0.005) Loss 1.9248 (1.8423) Prec@1 59.375 (58.389) Prec@5 82.031 (80.153) Epoch: [32][570/10010] Time 0.323 (0.333) Data 0.001 (0.005) Loss 1.6310 (1.8432) Prec@1 66.406 (58.371) Prec@5 84.375 (80.135) Epoch: [32][580/10010] Time 0.338 (0.333) Data 0.001 (0.005) Loss 2.0296 (1.8448) Prec@1 57.031 (58.360) Prec@5 75.000 (80.094) Epoch: [32][590/10010] Time 0.324 (0.333) Data 0.001 (0.005) Loss 1.4849 (1.8443) Prec@1 60.938 (58.353) Prec@5 88.281 (80.088) Epoch: [32][600/10010] Time 0.332 (0.333) Data 0.000 (0.005) Loss 2.0765 (1.8436) Prec@1 58.594 (58.378) Prec@5 78.125 (80.102) Epoch: [32][610/10010] Time 0.329 (0.333) Data 0.001 (0.005) Loss 1.4758 (1.8417) Prec@1 63.281 (58.393) Prec@5 80.469 (80.130) Epoch: [32][620/10010] Time 0.321 (0.333) Data 0.000 (0.005) Loss 1.8393 (1.8417) Prec@1 57.812 (58.375) Prec@5 79.688 (80.137) Epoch: [32][630/10010] Time 0.325 (0.333) Data 0.000 (0.005) Loss 2.0285 (1.8413) Prec@1 51.562 (58.371) Prec@5 76.562 (80.142) Epoch: [32][640/10010] Time 0.332 (0.333) Data 0.000 (0.004) Loss 1.9511 (1.8406) Prec@1 54.688 (58.363) Prec@5 79.688 (80.148) Epoch: [32][650/10010] Time 0.340 (0.333) Data 0.001 (0.004) Loss 1.7782 (1.8409) Prec@1 63.281 (58.356) Prec@5 76.562 (80.145) Epoch: [32][660/10010] Time 0.341 (0.333) Data 0.000 (0.004) Loss 2.0230 (1.8413) Prec@1 53.906 (58.347) Prec@5 75.781 (80.128) Epoch: [32][670/10010] Time 0.315 (0.333) Data 0.001 (0.004) Loss 2.1715 (1.8417) Prec@1 59.375 (58.331) Prec@5 74.219 (80.149) Epoch: [32][680/10010] Time 0.338 (0.332) Data 0.001 (0.004) Loss 1.8037 (1.8413) Prec@1 60.156 (58.337) Prec@5 78.906 (80.164) Epoch: [32][690/10010] Time 0.325 (0.332) Data 0.001 (0.004) Loss 1.7719 (1.8405) Prec@1 54.688 (58.342) Prec@5 80.469 (80.178) Epoch: [32][700/10010] Time 0.339 (0.332) Data 0.000 (0.004) Loss 1.8491 (1.8410) Prec@1 58.594 (58.317) Prec@5 79.688 (80.177) Epoch: [32][710/10010] Time 0.343 (0.332) Data 0.000 (0.004) Loss 2.0232 (1.8414) Prec@1 56.250 (58.285) Prec@5 75.781 (80.168) Epoch: [32][720/10010] Time 0.324 (0.332) Data 0.001 (0.004) Loss 2.2288 (1.8433) Prec@1 57.031 (58.244) Prec@5 76.562 (80.145) Epoch: [32][730/10010] Time 0.327 (0.332) Data 0.001 (0.004) Loss 1.6153 (1.8432) Prec@1 60.156 (58.245) Prec@5 85.938 (80.137) Epoch: [32][740/10010] Time 0.317 (0.332) Data 0.001 (0.004) Loss 1.7179 (1.8415) Prec@1 59.375 (58.268) Prec@5 82.812 (80.178) Epoch: [32][750/10010] Time 0.320 (0.332) Data 0.001 (0.004) Loss 1.9421 (1.8414) Prec@1 53.125 (58.248) Prec@5 78.906 (80.199) Epoch: [32][760/10010] Time 0.319 (0.332) Data 0.000 (0.004) Loss 1.9072 (1.8418) Prec@1 57.812 (58.249) Prec@5 79.688 (80.198) Epoch: [32][770/10010] Time 0.317 (0.332) Data 0.000 (0.004) Loss 1.8315 (1.8413) Prec@1 60.156 (58.269) Prec@5 79.688 (80.202) Epoch: [32][780/10010] Time 0.331 (0.332) Data 0.001 (0.004) Loss 1.7655 (1.8407) Prec@1 56.250 (58.273) Prec@5 82.031 (80.224) Epoch: [32][790/10010] Time 0.342 (0.332) Data 0.000 (0.004) Loss 1.7323 (1.8400) Prec@1 57.812 (58.284) Prec@5 78.906 (80.232) Epoch: [32][800/10010] Time 0.319 (0.332) Data 0.000 (0.004) Loss 1.8348 (1.8389) Prec@1 64.062 (58.313) Prec@5 82.031 (80.250) Epoch: [32][810/10010] Time 0.325 (0.332) Data 0.001 (0.004) Loss 1.6937 (1.8390) Prec@1 64.062 (58.323) Prec@5 81.250 (80.244) Epoch: [32][820/10010] Time 0.321 (0.332) Data 0.000 (0.004) Loss 1.7769 (1.8388) Prec@1 63.281 (58.334) Prec@5 82.812 (80.246) Epoch: [32][830/10010] Time 0.346 (0.332) Data 0.000 (0.004) Loss 1.7524 (1.8379) Prec@1 64.062 (58.355) Prec@5 75.781 (80.259) Epoch: [32][840/10010] Time 0.322 (0.332) Data 0.000 (0.004) Loss 1.8647 (1.8387) Prec@1 57.812 (58.347) Prec@5 82.031 (80.250) Epoch: [32][850/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.7383 (1.8377) Prec@1 62.500 (58.369) Prec@5 82.031 (80.270) Epoch: [32][860/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 1.5652 (1.8369) Prec@1 60.156 (58.391) Prec@5 85.156 (80.284) Epoch: [32][870/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 1.7783 (1.8374) Prec@1 58.594 (58.374) Prec@5 77.344 (80.269) Epoch: [32][880/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.9582 (1.8382) Prec@1 56.250 (58.350) Prec@5 78.906 (80.275) Epoch: [32][890/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 2.0652 (1.8384) Prec@1 57.031 (58.366) Prec@5 76.562 (80.271) Epoch: [32][900/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 1.9208 (1.8380) Prec@1 55.469 (58.380) Prec@5 80.469 (80.276) Epoch: [32][910/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 2.0177 (1.8383) Prec@1 55.469 (58.378) Prec@5 75.781 (80.271) Epoch: [32][920/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 1.7466 (1.8388) Prec@1 60.156 (58.370) Prec@5 82.031 (80.269) Epoch: [32][930/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 1.4645 (1.8396) Prec@1 63.281 (58.366) Prec@5 85.156 (80.266) Epoch: [32][940/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 1.9235 (1.8401) Prec@1 53.906 (58.360) Prec@5 78.125 (80.258) Epoch: [32][950/10010] Time 0.318 (0.332) Data 0.001 (0.003) Loss 1.8767 (1.8398) Prec@1 57.812 (58.363) Prec@5 78.906 (80.254) Epoch: [32][960/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 1.7536 (1.8398) Prec@1 61.719 (58.384) Prec@5 82.031 (80.244) Epoch: [32][970/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 1.7752 (1.8399) Prec@1 62.500 (58.369) Prec@5 80.469 (80.241) Epoch: [32][980/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.0830 (1.8406) Prec@1 54.688 (58.349) Prec@5 77.344 (80.229) Epoch: [32][990/10010] Time 0.347 (0.332) Data 0.001 (0.003) Loss 1.7403 (1.8407) Prec@1 61.719 (58.363) Prec@5 82.812 (80.241) Epoch: [32][1000/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 2.0251 (1.8408) Prec@1 55.469 (58.371) Prec@5 77.344 (80.232) Epoch: [32][1010/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.9771 (1.8420) Prec@1 53.906 (58.341) Prec@5 78.906 (80.222) Epoch: [32][1020/10010] Time 0.319 (0.332) Data 0.001 (0.003) Loss 2.0309 (1.8420) Prec@1 53.906 (58.357) Prec@5 79.688 (80.216) Epoch: [32][1030/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.9077 (1.8419) Prec@1 58.594 (58.351) Prec@5 78.125 (80.205) Epoch: [32][1040/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.9019 (1.8419) Prec@1 59.375 (58.357) Prec@5 82.031 (80.197) Epoch: [32][1050/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 1.8418 (1.8413) Prec@1 61.719 (58.371) Prec@5 81.250 (80.206) Epoch: [32][1060/10010] Time 0.333 (0.331) Data 0.001 (0.003) Loss 1.6822 (1.8419) Prec@1 61.719 (58.357) Prec@5 80.469 (80.197) Epoch: [32][1070/10010] Time 0.335 (0.331) Data 0.000 (0.003) Loss 1.8616 (1.8420) Prec@1 62.500 (58.359) Prec@5 76.562 (80.192) Epoch: [32][1080/10010] Time 0.322 (0.331) Data 0.001 (0.003) Loss 1.8028 (1.8422) Prec@1 57.031 (58.367) Prec@5 82.031 (80.190) Epoch: [32][1090/10010] Time 0.332 (0.331) Data 0.000 (0.003) Loss 1.7704 (1.8424) Prec@1 62.500 (58.369) Prec@5 78.906 (80.190) Epoch: [32][1100/10010] Time 0.317 (0.331) Data 0.001 (0.003) Loss 1.5574 (1.8419) Prec@1 64.844 (58.371) Prec@5 83.594 (80.194) Epoch: [32][1110/10010] Time 0.337 (0.331) Data 0.000 (0.003) Loss 1.4669 (1.8416) Prec@1 67.969 (58.389) Prec@5 85.938 (80.202) Epoch: [32][1120/10010] Time 0.343 (0.331) Data 0.000 (0.003) Loss 1.9867 (1.8415) Prec@1 60.156 (58.394) Prec@5 77.344 (80.203) Epoch: [32][1130/10010] Time 0.328 (0.331) Data 0.001 (0.003) Loss 2.0483 (1.8415) Prec@1 60.156 (58.403) Prec@5 74.219 (80.199) Epoch: [32][1140/10010] Time 0.329 (0.331) Data 0.000 (0.003) Loss 1.9107 (1.8414) Prec@1 59.375 (58.394) Prec@5 78.125 (80.203) Epoch: [32][1150/10010] Time 0.317 (0.331) Data 0.001 (0.003) Loss 1.7757 (1.8416) Prec@1 60.156 (58.400) Prec@5 84.375 (80.191) Epoch: [32][1160/10010] Time 0.336 (0.331) Data 0.001 (0.003) Loss 2.0116 (1.8419) Prec@1 56.250 (58.387) Prec@5 75.000 (80.188) Epoch: [32][1170/10010] Time 0.324 (0.331) Data 0.000 (0.003) Loss 1.5798 (1.8414) Prec@1 65.625 (58.404) Prec@5 84.375 (80.197) Epoch: [32][1180/10010] Time 0.342 (0.331) Data 0.000 (0.003) Loss 1.5500 (1.8408) Prec@1 60.938 (58.413) Prec@5 85.156 (80.211) Epoch: [32][1190/10010] Time 0.319 (0.331) Data 0.001 (0.003) Loss 1.7526 (1.8414) Prec@1 62.500 (58.407) Prec@5 83.594 (80.205) Epoch: [32][1200/10010] Time 0.328 (0.331) Data 0.000 (0.003) Loss 1.5951 (1.8410) Prec@1 60.938 (58.414) Prec@5 84.375 (80.221) Epoch: [32][1210/10010] Time 0.317 (0.331) Data 0.001 (0.003) Loss 1.6038 (1.8413) Prec@1 61.719 (58.412) Prec@5 84.375 (80.224) Epoch: [32][1220/10010] Time 0.345 (0.332) Data 0.001 (0.003) Loss 1.6338 (1.8405) Prec@1 58.594 (58.421) Prec@5 86.719 (80.243) Epoch: [32][1230/10010] Time 0.329 (0.331) Data 0.000 (0.003) Loss 1.5261 (1.8402) Prec@1 64.062 (58.415) Prec@5 83.594 (80.242) Epoch: [32][1240/10010] Time 0.336 (0.331) Data 0.000 (0.003) Loss 1.7354 (1.8401) Prec@1 57.812 (58.418) Prec@5 80.469 (80.238) Epoch: [32][1250/10010] Time 0.327 (0.331) Data 0.000 (0.003) Loss 1.8601 (1.8400) Prec@1 53.906 (58.427) Prec@5 79.688 (80.238) Epoch: [32][1260/10010] Time 0.344 (0.331) Data 0.001 (0.003) Loss 1.6656 (1.8395) Prec@1 60.156 (58.435) Prec@5 87.500 (80.253) Epoch: [32][1270/10010] Time 0.325 (0.331) Data 0.000 (0.003) Loss 1.9699 (1.8394) Prec@1 54.688 (58.423) Prec@5 80.469 (80.259) Epoch: [32][1280/10010] Time 0.342 (0.331) Data 0.000 (0.003) Loss 1.8282 (1.8397) Prec@1 55.469 (58.419) Prec@5 79.688 (80.243) Epoch: [32][1290/10010] Time 0.344 (0.332) Data 0.000 (0.003) Loss 2.0651 (1.8387) Prec@1 59.375 (58.435) Prec@5 75.000 (80.262) Epoch: [32][1300/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.9672 (1.8386) Prec@1 58.594 (58.442) Prec@5 81.250 (80.269) Epoch: [32][1310/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.9553 (1.8389) Prec@1 55.469 (58.455) Prec@5 80.469 (80.264) Epoch: [32][1320/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.9998 (1.8384) Prec@1 55.469 (58.460) Prec@5 78.906 (80.277) Epoch: [32][1330/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.0699 (1.8395) Prec@1 50.781 (58.439) Prec@5 75.781 (80.263) Epoch: [32][1340/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.2081 (1.8400) Prec@1 50.000 (58.433) Prec@5 71.094 (80.257) Epoch: [32][1350/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.3727 (1.8400) Prec@1 65.625 (58.429) Prec@5 85.938 (80.257) Epoch: [32][1360/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8665 (1.8393) Prec@1 54.688 (58.439) Prec@5 82.812 (80.270) Epoch: [32][1370/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9274 (1.8395) Prec@1 59.375 (58.430) Prec@5 81.250 (80.274) Epoch: [32][1380/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.9247 (1.8396) Prec@1 58.594 (58.427) Prec@5 77.344 (80.272) Epoch: [32][1390/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.7437 (1.8395) Prec@1 60.938 (58.435) Prec@5 82.812 (80.277) Epoch: [32][1400/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.4715 (1.8395) Prec@1 67.969 (58.439) Prec@5 87.500 (80.280) Epoch: [32][1410/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.9268 (1.8396) Prec@1 53.125 (58.426) Prec@5 80.469 (80.282) Epoch: [32][1420/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.9173 (1.8403) Prec@1 57.812 (58.415) Prec@5 82.031 (80.270) Epoch: [32][1430/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.6759 (1.8402) Prec@1 59.375 (58.423) Prec@5 80.469 (80.267) Epoch: [32][1440/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.0993 (1.8403) Prec@1 50.781 (58.414) Prec@5 72.656 (80.257) Epoch: [32][1450/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.7729 (1.8401) Prec@1 57.812 (58.421) Prec@5 81.250 (80.263) Epoch: [32][1460/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.6952 (1.8402) Prec@1 65.625 (58.414) Prec@5 82.812 (80.263) Epoch: [32][1470/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.8461 (1.8401) Prec@1 54.688 (58.415) Prec@5 82.812 (80.264) Epoch: [32][1480/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.0190 (1.8402) Prec@1 53.125 (58.417) Prec@5 75.781 (80.261) Epoch: [32][1490/10010] Time 0.329 (0.332) Data 0.002 (0.002) Loss 2.0673 (1.8397) Prec@1 56.250 (58.419) Prec@5 75.000 (80.263) Epoch: [32][1500/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.9282 (1.8398) Prec@1 59.375 (58.416) Prec@5 78.125 (80.257) Epoch: [32][1510/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.6844 (1.8396) Prec@1 63.281 (58.407) Prec@5 85.156 (80.260) Epoch: [32][1520/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.9031 (1.8393) Prec@1 50.781 (58.412) Prec@5 76.562 (80.259) Epoch: [32][1530/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.8787 (1.8393) Prec@1 56.250 (58.408) Prec@5 81.250 (80.262) Epoch: [32][1540/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.2517 (1.8391) Prec@1 56.250 (58.420) Prec@5 77.344 (80.274) Epoch: [32][1550/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.5664 (1.8397) Prec@1 61.719 (58.417) Prec@5 83.594 (80.267) Epoch: [32][1560/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.9418 (1.8402) Prec@1 57.031 (58.410) Prec@5 80.469 (80.256) Epoch: [32][1570/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.6428 (1.8403) Prec@1 63.281 (58.411) Prec@5 83.594 (80.258) Epoch: [32][1580/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 2.2949 (1.8409) Prec@1 54.688 (58.402) Prec@5 69.531 (80.251) Epoch: [32][1590/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 1.7406 (1.8413) Prec@1 62.500 (58.393) Prec@5 84.375 (80.241) Epoch: [32][1600/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 1.9045 (1.8406) Prec@1 57.812 (58.412) Prec@5 82.031 (80.258) Epoch: [32][1610/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.7419 (1.8406) Prec@1 56.250 (58.410) Prec@5 87.500 (80.255) Epoch: [32][1620/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.8667 (1.8402) Prec@1 61.719 (58.410) Prec@5 79.688 (80.253) Epoch: [32][1630/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.0343 (1.8408) Prec@1 56.250 (58.393) Prec@5 78.906 (80.246) Epoch: [32][1640/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.9553 (1.8407) Prec@1 59.375 (58.404) Prec@5 78.125 (80.248) Epoch: [32][1650/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.9826 (1.8409) Prec@1 53.906 (58.394) Prec@5 79.688 (80.250) Epoch: [32][1660/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.6064 (1.8403) Prec@1 60.156 (58.399) Prec@5 87.500 (80.256) Epoch: [32][1670/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.1766 (1.8403) Prec@1 53.906 (58.401) Prec@5 76.562 (80.262) Epoch: [32][1680/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.9437 (1.8405) Prec@1 55.469 (58.396) Prec@5 77.344 (80.259) Epoch: [32][1690/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.6728 (1.8403) Prec@1 60.938 (58.393) Prec@5 80.469 (80.253) Epoch: [32][1700/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.6311 (1.8410) Prec@1 63.281 (58.379) Prec@5 83.594 (80.237) Epoch: [32][1710/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.9259 (1.8410) Prec@1 59.375 (58.374) Prec@5 75.000 (80.228) Epoch: [32][1720/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.7580 (1.8413) Prec@1 60.156 (58.374) Prec@5 82.031 (80.225) Epoch: [32][1730/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.8025 (1.8413) Prec@1 61.719 (58.374) Prec@5 83.594 (80.229) Epoch: [32][1740/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.6904 (1.8413) Prec@1 64.844 (58.373) Prec@5 80.469 (80.226) Epoch: [32][1750/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.0103 (1.8412) Prec@1 53.906 (58.366) Prec@5 77.344 (80.225) Epoch: [32][1760/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.0626 (1.8413) Prec@1 51.562 (58.370) Prec@5 78.125 (80.224) Epoch: [32][1770/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.9844 (1.8416) Prec@1 55.469 (58.369) Prec@5 79.688 (80.217) Epoch: [32][1780/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 1.9266 (1.8418) Prec@1 57.812 (58.368) Prec@5 81.250 (80.211) Epoch: [32][1790/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.7404 (1.8417) Prec@1 60.156 (58.372) Prec@5 82.031 (80.214) Epoch: [32][1800/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.8423 (1.8419) Prec@1 53.125 (58.361) Prec@5 81.250 (80.214) Epoch: [32][1810/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.1527 (1.8425) Prec@1 53.906 (58.357) Prec@5 74.219 (80.203) Epoch: [32][1820/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 1.6772 (1.8427) Prec@1 57.812 (58.357) Prec@5 78.906 (80.191) Epoch: [32][1830/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.8173 (1.8424) Prec@1 54.688 (58.358) Prec@5 80.469 (80.201) Epoch: [32][1840/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.8911 (1.8428) Prec@1 58.594 (58.350) Prec@5 79.688 (80.198) Epoch: [32][1850/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.8103 (1.8427) Prec@1 58.594 (58.357) Prec@5 80.469 (80.197) Epoch: [32][1860/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.8932 (1.8429) Prec@1 53.906 (58.349) Prec@5 82.031 (80.200) Epoch: [32][1870/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.9634 (1.8433) Prec@1 53.906 (58.340) Prec@5 77.344 (80.195) Epoch: [32][1880/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.6962 (1.8431) Prec@1 61.719 (58.339) Prec@5 82.812 (80.193) Epoch: [32][1890/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.7056 (1.8429) Prec@1 59.375 (58.338) Prec@5 84.375 (80.199) Epoch: [32][1900/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.6908 (1.8427) Prec@1 65.625 (58.353) Prec@5 79.688 (80.199) Epoch: [32][1910/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.8950 (1.8429) Prec@1 57.031 (58.354) Prec@5 79.688 (80.199) Epoch: [32][1920/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 1.6789 (1.8426) Prec@1 62.500 (58.353) Prec@5 83.594 (80.209) Epoch: [32][1930/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.7799 (1.8435) Prec@1 57.031 (58.335) Prec@5 82.031 (80.199) Epoch: [32][1940/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 1.8327 (1.8434) Prec@1 60.156 (58.345) Prec@5 81.250 (80.204) Epoch: [32][1950/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.6878 (1.8426) Prec@1 60.156 (58.368) Prec@5 81.250 (80.210) Epoch: [32][1960/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.0141 (1.8426) Prec@1 54.688 (58.372) Prec@5 73.438 (80.206) Epoch: [32][1970/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.9453 (1.8429) Prec@1 60.156 (58.369) Prec@5 75.781 (80.198) Epoch: [32][1980/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.0528 (1.8432) Prec@1 57.812 (58.362) Prec@5 78.906 (80.193) Epoch: [32][1990/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.2982 (1.8434) Prec@1 52.344 (58.361) Prec@5 73.438 (80.190) Epoch: [32][2000/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 1.7996 (1.8437) Prec@1 60.156 (58.359) Prec@5 81.250 (80.184) Epoch: [32][2010/10010] Time 0.348 (0.331) Data 0.000 (0.002) Loss 1.8661 (1.8438) Prec@1 59.375 (58.358) Prec@5 81.250 (80.180) Epoch: [32][2020/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.0653 (1.8439) Prec@1 58.594 (58.362) Prec@5 78.906 (80.181) Epoch: [32][2030/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.4888 (1.8437) Prec@1 61.719 (58.368) Prec@5 86.719 (80.186) Epoch: [32][2040/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.9436 (1.8438) Prec@1 60.156 (58.374) Prec@5 78.906 (80.194) Epoch: [32][2050/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.8359 (1.8435) Prec@1 57.812 (58.384) Prec@5 79.688 (80.201) Epoch: [32][2060/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.8327 (1.8434) Prec@1 55.469 (58.383) Prec@5 81.250 (80.203) Epoch: [32][2070/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.1276 (1.8431) Prec@1 53.906 (58.389) Prec@5 74.219 (80.206) Epoch: [32][2080/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.7486 (1.8427) Prec@1 59.375 (58.393) Prec@5 82.031 (80.217) Epoch: [32][2090/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.9896 (1.8428) Prec@1 55.469 (58.387) Prec@5 79.688 (80.216) Epoch: [32][2100/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.2368 (1.8427) Prec@1 52.344 (58.384) Prec@5 75.781 (80.219) Epoch: [32][2110/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 1.6166 (1.8422) Prec@1 60.938 (58.394) Prec@5 83.594 (80.225) Epoch: [32][2120/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 2.0675 (1.8421) Prec@1 57.812 (58.399) Prec@5 75.781 (80.227) Epoch: [32][2130/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 2.0141 (1.8419) Prec@1 54.688 (58.404) Prec@5 75.781 (80.230) Epoch: [32][2140/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.8530 (1.8417) Prec@1 60.938 (58.407) Prec@5 80.469 (80.229) Epoch: [32][2150/10010] Time 0.315 (0.331) Data 0.001 (0.002) Loss 1.9085 (1.8421) Prec@1 53.125 (58.405) Prec@5 81.250 (80.223) /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: [32][2160/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.7823 (1.8419) Prec@1 57.812 (58.405) Prec@5 82.031 (80.227) Epoch: [32][2170/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.8534 (1.8420) Prec@1 58.594 (58.395) Prec@5 81.250 (80.228) Epoch: [32][2180/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.0997 (1.8425) Prec@1 49.219 (58.386) Prec@5 77.344 (80.226) Epoch: [32][2190/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.1215 (1.8428) Prec@1 52.344 (58.378) Prec@5 75.781 (80.220) Epoch: [32][2200/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.7729 (1.8428) Prec@1 53.125 (58.378) Prec@5 82.031 (80.216) Epoch: [32][2210/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.7715 (1.8432) Prec@1 56.250 (58.371) Prec@5 82.812 (80.207) Epoch: [32][2220/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.7144 (1.8428) Prec@1 60.938 (58.380) Prec@5 76.562 (80.208) Epoch: [32][2230/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.1993 (1.8427) Prec@1 51.562 (58.381) Prec@5 75.781 (80.210) Epoch: [32][2240/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.7100 (1.8424) Prec@1 60.938 (58.385) Prec@5 86.719 (80.220) Epoch: [32][2250/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.8049 (1.8424) Prec@1 57.031 (58.381) Prec@5 81.250 (80.221) Epoch: [32][2260/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 1.9570 (1.8421) Prec@1 58.594 (58.386) Prec@5 79.688 (80.228) Epoch: [32][2270/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 1.4021 (1.8419) Prec@1 67.188 (58.395) Prec@5 89.844 (80.235) Epoch: [32][2280/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.7417 (1.8417) Prec@1 58.594 (58.397) Prec@5 83.594 (80.236) Epoch: [32][2290/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.7534 (1.8417) Prec@1 61.719 (58.405) Prec@5 79.688 (80.230) Epoch: [32][2300/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.0996 (1.8416) Prec@1 49.219 (58.409) Prec@5 78.906 (80.237) Epoch: [32][2310/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.0103 (1.8423) Prec@1 57.031 (58.397) Prec@5 78.125 (80.225) Epoch: [32][2320/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.0694 (1.8423) Prec@1 53.906 (58.397) Prec@5 75.781 (80.226) /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: [32][2330/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 1.7807 (1.8422) Prec@1 61.719 (58.400) Prec@5 78.906 (80.224) Epoch: [32][2340/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.7057 (1.8425) Prec@1 60.156 (58.390) Prec@5 82.031 (80.222) Epoch: [32][2350/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.8840 (1.8421) Prec@1 61.719 (58.396) Prec@5 78.906 (80.229) Epoch: [32][2360/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.7021 (1.8424) Prec@1 56.250 (58.390) Prec@5 83.594 (80.221) Epoch: [32][2370/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.0277 (1.8426) Prec@1 49.219 (58.381) Prec@5 78.906 (80.215) Epoch: [32][2380/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.7323 (1.8427) Prec@1 62.500 (58.386) Prec@5 84.375 (80.217) Epoch: [32][2390/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.7005 (1.8426) Prec@1 57.031 (58.389) Prec@5 81.250 (80.214) Epoch: [32][2400/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.8850 (1.8426) Prec@1 59.375 (58.383) Prec@5 81.250 (80.212) Epoch: [32][2410/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 2.1908 (1.8426) Prec@1 50.781 (58.382) Prec@5 78.906 (80.214) Epoch: [32][2420/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.9848 (1.8428) Prec@1 55.469 (58.379) Prec@5 79.688 (80.209) Epoch: [32][2430/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.0681 (1.8425) Prec@1 57.031 (58.387) Prec@5 75.000 (80.213) Epoch: [32][2440/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.7743 (1.8426) Prec@1 60.938 (58.393) Prec@5 82.031 (80.210) Epoch: [32][2450/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.5687 (1.8422) Prec@1 64.062 (58.403) Prec@5 85.156 (80.215) Epoch: [32][2460/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.0022 (1.8419) Prec@1 57.031 (58.406) Prec@5 76.562 (80.222) Epoch: [32][2470/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.9320 (1.8416) Prec@1 60.938 (58.417) Prec@5 76.562 (80.225) Epoch: [32][2480/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.2344 (1.8424) Prec@1 56.250 (58.405) Prec@5 70.312 (80.211) Epoch: [32][2490/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 2.1000 (1.8422) Prec@1 54.688 (58.405) Prec@5 72.656 (80.212) Epoch: [32][2500/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.6596 (1.8426) Prec@1 61.719 (58.397) Prec@5 86.719 (80.206) Epoch: [32][2510/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.8534 (1.8428) Prec@1 60.156 (58.389) Prec@5 76.562 (80.199) Epoch: [32][2520/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.8368 (1.8428) Prec@1 54.688 (58.387) Prec@5 83.594 (80.202) Epoch: [32][2530/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.1156 (1.8431) Prec@1 59.375 (58.383) Prec@5 75.000 (80.197) Epoch: [32][2540/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.1178 (1.8432) Prec@1 58.594 (58.382) Prec@5 74.219 (80.196) Epoch: [32][2550/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.7205 (1.8431) Prec@1 58.594 (58.384) Prec@5 80.469 (80.195) Epoch: [32][2560/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 1.4535 (1.8430) Prec@1 64.844 (58.384) Prec@5 82.812 (80.195) Epoch: [32][2570/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.7007 (1.8426) Prec@1 60.938 (58.394) Prec@5 82.031 (80.203) Epoch: [32][2580/10010] Time 0.344 (0.331) Data 0.002 (0.002) Loss 2.0468 (1.8426) Prec@1 57.812 (58.399) Prec@5 75.781 (80.207) Epoch: [32][2590/10010] Time 0.319 (0.331) Data 0.002 (0.002) Loss 1.8474 (1.8425) Prec@1 57.031 (58.395) Prec@5 77.344 (80.208) Epoch: [32][2600/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.3139 (1.8427) Prec@1 53.906 (58.393) Prec@5 70.312 (80.202) Epoch: [32][2610/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.6363 (1.8428) Prec@1 57.812 (58.385) Prec@5 82.812 (80.199) Epoch: [32][2620/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.9765 (1.8425) Prec@1 56.250 (58.387) Prec@5 81.250 (80.204) Epoch: [32][2630/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.8101 (1.8429) Prec@1 62.500 (58.377) Prec@5 80.469 (80.194) Epoch: [32][2640/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.8142 (1.8429) Prec@1 60.156 (58.377) Prec@5 85.156 (80.194) Epoch: [32][2650/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.8449 (1.8432) Prec@1 59.375 (58.371) Prec@5 81.250 (80.191) Epoch: [32][2660/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.8330 (1.8433) Prec@1 55.469 (58.368) Prec@5 85.156 (80.186) Epoch: [32][2670/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 1.7478 (1.8430) Prec@1 60.156 (58.373) Prec@5 79.688 (80.192) Epoch: [32][2680/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.8906 (1.8429) Prec@1 53.906 (58.371) Prec@5 80.469 (80.200) Epoch: [32][2690/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.1521 (1.8433) Prec@1 55.469 (58.364) Prec@5 75.781 (80.192) Epoch: [32][2700/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.5780 (1.8435) Prec@1 59.375 (58.366) Prec@5 82.031 (80.189) Epoch: [32][2710/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.5185 (1.8434) Prec@1 63.281 (58.371) Prec@5 84.375 (80.196) Epoch: [32][2720/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.0129 (1.8434) Prec@1 52.344 (58.368) Prec@5 78.125 (80.198) Epoch: [32][2730/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.1306 (1.8438) Prec@1 57.812 (58.363) Prec@5 75.781 (80.192) Epoch: [32][2740/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6209 (1.8438) Prec@1 60.938 (58.364) Prec@5 84.375 (80.193) Epoch: [32][2750/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6847 (1.8438) Prec@1 57.812 (58.364) Prec@5 82.031 (80.190) Epoch: [32][2760/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7906 (1.8437) Prec@1 58.594 (58.369) Prec@5 82.031 (80.191) Epoch: [32][2770/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0437 (1.8436) Prec@1 53.125 (58.365) Prec@5 76.562 (80.201) Epoch: [32][2780/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8467 (1.8432) Prec@1 62.500 (58.378) Prec@5 82.031 (80.204) Epoch: [32][2790/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5300 (1.8430) Prec@1 64.062 (58.377) Prec@5 89.062 (80.210) Epoch: [32][2800/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9296 (1.8427) Prec@1 54.688 (58.380) Prec@5 77.344 (80.212) Epoch: [32][2810/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6633 (1.8425) Prec@1 64.844 (58.383) Prec@5 80.469 (80.216) Epoch: [32][2820/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7711 (1.8424) Prec@1 58.594 (58.389) Prec@5 80.469 (80.217) Epoch: [32][2830/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9600 (1.8424) Prec@1 56.250 (58.391) Prec@5 78.125 (80.215) Epoch: [32][2840/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5478 (1.8426) Prec@1 64.062 (58.386) Prec@5 85.938 (80.214) Epoch: [32][2850/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6393 (1.8424) Prec@1 61.719 (58.384) Prec@5 85.938 (80.214) Epoch: [32][2860/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0920 (1.8423) Prec@1 53.906 (58.387) Prec@5 73.438 (80.214) Epoch: [32][2870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8067 (1.8423) Prec@1 59.375 (58.386) Prec@5 79.688 (80.216) Epoch: [32][2880/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8622 (1.8426) Prec@1 54.688 (58.381) Prec@5 79.688 (80.214) Epoch: [32][2890/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0587 (1.8427) Prec@1 56.250 (58.381) Prec@5 78.125 (80.213) Epoch: [32][2900/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5885 (1.8427) Prec@1 63.281 (58.379) Prec@5 83.594 (80.211) Epoch: [32][2910/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0048 (1.8426) Prec@1 60.938 (58.385) Prec@5 78.125 (80.211) Epoch: [32][2920/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8938 (1.8425) Prec@1 57.031 (58.387) Prec@5 78.906 (80.213) Epoch: [32][2930/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6578 (1.8426) Prec@1 60.156 (58.386) Prec@5 85.156 (80.212) Epoch: [32][2940/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9343 (1.8428) Prec@1 56.250 (58.386) Prec@5 78.906 (80.214) Epoch: [32][2950/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1197 (1.8428) Prec@1 57.031 (58.385) Prec@5 73.438 (80.210) Epoch: [32][2960/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9407 (1.8430) Prec@1 56.250 (58.381) Prec@5 81.250 (80.207) Epoch: [32][2970/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7737 (1.8432) Prec@1 61.719 (58.380) Prec@5 79.688 (80.201) Epoch: [32][2980/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8113 (1.8431) Prec@1 51.562 (58.375) Prec@5 82.812 (80.201) Epoch: [32][2990/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6691 (1.8432) Prec@1 56.250 (58.374) Prec@5 87.500 (80.202) Epoch: [32][3000/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.1198 (1.8434) Prec@1 53.906 (58.372) Prec@5 73.438 (80.195) Epoch: [32][3010/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7592 (1.8437) Prec@1 64.062 (58.371) Prec@5 79.688 (80.191) Epoch: [32][3020/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.4949 (1.8437) Prec@1 61.719 (58.372) Prec@5 84.375 (80.192) Epoch: [32][3030/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8886 (1.8441) Prec@1 60.156 (58.367) Prec@5 78.906 (80.185) Epoch: [32][3040/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8386 (1.8443) Prec@1 60.156 (58.367) Prec@5 82.031 (80.185) Epoch: [32][3050/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6366 (1.8445) Prec@1 65.625 (58.367) Prec@5 80.469 (80.183) Epoch: [32][3060/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7406 (1.8443) Prec@1 58.594 (58.365) Prec@5 82.031 (80.186) Epoch: [32][3070/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7488 (1.8445) Prec@1 59.375 (58.358) Prec@5 80.469 (80.184) Epoch: [32][3080/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8110 (1.8444) Prec@1 59.375 (58.358) Prec@5 80.469 (80.184) Epoch: [32][3090/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7316 (1.8443) Prec@1 57.812 (58.356) Prec@5 80.469 (80.185) Epoch: [32][3100/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0857 (1.8447) Prec@1 53.906 (58.351) Prec@5 76.562 (80.175) Epoch: [32][3110/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6651 (1.8446) Prec@1 61.719 (58.347) Prec@5 82.812 (80.177) Epoch: [32][3120/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9401 (1.8451) Prec@1 57.031 (58.341) Prec@5 78.906 (80.168) Epoch: [32][3130/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9195 (1.8452) Prec@1 53.906 (58.339) Prec@5 75.000 (80.165) Epoch: [32][3140/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7491 (1.8449) Prec@1 62.500 (58.342) Prec@5 80.469 (80.167) Epoch: [32][3150/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.5029 (1.8447) Prec@1 62.500 (58.344) Prec@5 89.062 (80.172) Epoch: [32][3160/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8245 (1.8445) Prec@1 53.906 (58.342) Prec@5 78.125 (80.173) Epoch: [32][3170/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7294 (1.8445) Prec@1 60.156 (58.342) Prec@5 82.031 (80.172) Epoch: [32][3180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0694 (1.8443) Prec@1 55.469 (58.344) Prec@5 79.688 (80.173) Epoch: [32][3190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9186 (1.8447) Prec@1 56.250 (58.340) Prec@5 78.125 (80.166) Epoch: [32][3200/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9508 (1.8446) Prec@1 57.031 (58.339) Prec@5 78.906 (80.165) Epoch: [32][3210/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7116 (1.8446) Prec@1 60.938 (58.342) Prec@5 80.469 (80.166) Epoch: [32][3220/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6608 (1.8446) Prec@1 61.719 (58.347) Prec@5 83.594 (80.166) Epoch: [32][3230/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7406 (1.8445) Prec@1 60.156 (58.351) Prec@5 79.688 (80.168) Epoch: [32][3240/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6898 (1.8442) Prec@1 62.500 (58.357) Prec@5 78.125 (80.172) Epoch: [32][3250/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5913 (1.8441) Prec@1 60.156 (58.356) Prec@5 87.500 (80.177) Epoch: [32][3260/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9901 (1.8446) Prec@1 50.781 (58.347) Prec@5 77.344 (80.171) Epoch: [32][3270/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8334 (1.8444) Prec@1 58.594 (58.350) Prec@5 79.688 (80.172) Epoch: [32][3280/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9434 (1.8446) Prec@1 60.156 (58.341) Prec@5 78.125 (80.167) Epoch: [32][3290/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7521 (1.8447) Prec@1 58.594 (58.335) Prec@5 78.906 (80.164) Epoch: [32][3300/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5635 (1.8447) Prec@1 65.625 (58.337) Prec@5 85.156 (80.166) Epoch: [32][3310/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8817 (1.8448) Prec@1 58.594 (58.333) Prec@5 81.250 (80.163) Epoch: [32][3320/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6413 (1.8448) Prec@1 65.625 (58.335) Prec@5 81.250 (80.163) Epoch: [32][3330/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1321 (1.8450) Prec@1 53.906 (58.332) Prec@5 69.531 (80.160) Epoch: [32][3340/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6596 (1.8448) Prec@1 65.625 (58.337) Prec@5 85.156 (80.163) Epoch: [32][3350/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8902 (1.8444) Prec@1 57.031 (58.345) Prec@5 80.469 (80.168) Epoch: [32][3360/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8213 (1.8442) Prec@1 57.812 (58.344) Prec@5 77.344 (80.169) Epoch: [32][3370/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.1641 (1.8442) Prec@1 48.438 (58.345) Prec@5 73.438 (80.173) Epoch: [32][3380/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0818 (1.8443) Prec@1 52.344 (58.345) Prec@5 72.656 (80.168) Epoch: [32][3390/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7639 (1.8443) Prec@1 58.594 (58.345) Prec@5 82.031 (80.168) Epoch: [32][3400/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7098 (1.8444) Prec@1 67.188 (58.346) Prec@5 78.125 (80.167) Epoch: [32][3410/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6152 (1.8442) Prec@1 56.250 (58.352) Prec@5 83.594 (80.169) Epoch: [32][3420/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7645 (1.8444) Prec@1 61.719 (58.350) Prec@5 82.812 (80.165) Epoch: [32][3430/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9844 (1.8446) Prec@1 51.562 (58.339) Prec@5 77.344 (80.161) Epoch: [32][3440/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9516 (1.8444) Prec@1 60.938 (58.345) Prec@5 78.125 (80.164) Epoch: [32][3450/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8934 (1.8445) Prec@1 58.594 (58.344) Prec@5 82.031 (80.159) Epoch: [32][3460/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6378 (1.8444) Prec@1 60.156 (58.345) Prec@5 83.594 (80.157) Epoch: [32][3470/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0179 (1.8445) Prec@1 53.906 (58.343) Prec@5 82.031 (80.157) Epoch: [32][3480/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.5371 (1.8443) Prec@1 61.719 (58.348) Prec@5 85.156 (80.159) Epoch: [32][3490/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7672 (1.8446) Prec@1 57.812 (58.342) Prec@5 80.469 (80.156) Epoch: [32][3500/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7229 (1.8444) Prec@1 60.938 (58.345) Prec@5 83.594 (80.158) Epoch: [32][3510/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0355 (1.8442) Prec@1 53.125 (58.346) Prec@5 78.906 (80.165) Epoch: [32][3520/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6600 (1.8439) Prec@1 57.031 (58.351) Prec@5 85.938 (80.170) Epoch: [32][3530/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7481 (1.8444) Prec@1 60.156 (58.342) Prec@5 82.812 (80.162) Epoch: [32][3540/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8705 (1.8445) Prec@1 64.062 (58.343) Prec@5 77.344 (80.159) Epoch: [32][3550/10010] Time 0.307 (0.331) Data 0.001 (0.001) Loss 1.7890 (1.8442) Prec@1 59.375 (58.349) Prec@5 82.031 (80.166) Epoch: [32][3560/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6117 (1.8443) Prec@1 59.375 (58.346) Prec@5 85.156 (80.163) Epoch: [32][3570/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7643 (1.8446) Prec@1 52.344 (58.336) Prec@5 86.719 (80.162) Epoch: [32][3580/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8096 (1.8443) Prec@1 54.688 (58.344) Prec@5 81.250 (80.164) Epoch: [32][3590/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7403 (1.8441) Prec@1 60.938 (58.342) Prec@5 84.375 (80.172) Epoch: [32][3600/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8686 (1.8439) Prec@1 57.031 (58.346) Prec@5 77.344 (80.174) Epoch: [32][3610/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0781 (1.8443) Prec@1 57.812 (58.344) Prec@5 75.781 (80.167) Epoch: [32][3620/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0483 (1.8445) Prec@1 57.812 (58.342) Prec@5 75.781 (80.166) Epoch: [32][3630/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6323 (1.8441) Prec@1 67.969 (58.350) Prec@5 82.031 (80.171) Epoch: [32][3640/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6433 (1.8438) Prec@1 61.719 (58.357) Prec@5 84.375 (80.176) Epoch: [32][3650/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8393 (1.8439) Prec@1 60.156 (58.357) Prec@5 80.469 (80.178) Epoch: [32][3660/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7101 (1.8438) Prec@1 63.281 (58.361) Prec@5 82.031 (80.180) Epoch: [32][3670/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8843 (1.8437) Prec@1 53.125 (58.364) Prec@5 84.375 (80.185) Epoch: [32][3680/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.1905 (1.8434) Prec@1 47.656 (58.368) Prec@5 77.344 (80.189) Epoch: [32][3690/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8563 (1.8433) Prec@1 54.688 (58.368) Prec@5 79.688 (80.190) Epoch: [32][3700/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.9395 (1.8433) Prec@1 56.250 (58.369) Prec@5 78.125 (80.190) Epoch: [32][3710/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8784 (1.8433) Prec@1 57.031 (58.372) Prec@5 77.344 (80.189) Epoch: [32][3720/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0268 (1.8435) Prec@1 54.688 (58.364) Prec@5 79.688 (80.188) Epoch: [32][3730/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6160 (1.8436) Prec@1 64.844 (58.366) Prec@5 80.469 (80.185) Epoch: [32][3740/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.6318 (1.8434) Prec@1 64.844 (58.372) Prec@5 82.031 (80.185) Epoch: [32][3750/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9907 (1.8436) Prec@1 53.906 (58.369) Prec@5 78.125 (80.183) Epoch: [32][3760/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0541 (1.8437) Prec@1 54.688 (58.368) Prec@5 77.344 (80.183) Epoch: [32][3770/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0835 (1.8436) Prec@1 56.250 (58.368) Prec@5 76.562 (80.184) Epoch: [32][3780/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7725 (1.8437) Prec@1 60.156 (58.366) Prec@5 83.594 (80.184) Epoch: [32][3790/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9734 (1.8437) Prec@1 54.688 (58.360) Prec@5 78.125 (80.181) Epoch: [32][3800/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0065 (1.8437) Prec@1 55.469 (58.364) Prec@5 78.125 (80.183) Epoch: [32][3810/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7060 (1.8435) Prec@1 63.281 (58.367) Prec@5 82.031 (80.187) Epoch: [32][3820/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8734 (1.8435) Prec@1 58.594 (58.368) Prec@5 81.250 (80.188) Epoch: [32][3830/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8205 (1.8432) Prec@1 60.938 (58.372) Prec@5 83.594 (80.193) Epoch: [32][3840/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.7056 (1.8432) Prec@1 58.594 (58.378) Prec@5 79.688 (80.194) Epoch: [32][3850/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6826 (1.8433) Prec@1 59.375 (58.377) Prec@5 81.250 (80.194) Epoch: [32][3860/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.4509 (1.8433) Prec@1 62.500 (58.373) Prec@5 87.500 (80.194) Epoch: [32][3870/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6265 (1.8433) Prec@1 59.375 (58.370) Prec@5 82.812 (80.192) Epoch: [32][3880/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7665 (1.8429) Prec@1 63.281 (58.378) Prec@5 81.250 (80.195) Epoch: [32][3890/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7906 (1.8431) Prec@1 60.938 (58.375) Prec@5 77.344 (80.191) Epoch: [32][3900/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.1398 (1.8429) Prec@1 55.469 (58.377) Prec@5 76.562 (80.194) Epoch: [32][3910/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1021 (1.8431) Prec@1 50.781 (58.373) Prec@5 75.781 (80.189) Epoch: [32][3920/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.5603 (1.8430) Prec@1 64.062 (58.375) Prec@5 83.594 (80.192) Epoch: [32][3930/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7823 (1.8429) Prec@1 61.719 (58.379) Prec@5 76.562 (80.194) Epoch: [32][3940/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5043 (1.8427) Prec@1 64.844 (58.384) Prec@5 83.594 (80.194) Epoch: [32][3950/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8039 (1.8425) Prec@1 60.156 (58.385) Prec@5 78.906 (80.195) Epoch: [32][3960/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0158 (1.8425) Prec@1 54.688 (58.385) Prec@5 73.438 (80.194) Epoch: [32][3970/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.9161 (1.8425) Prec@1 57.031 (58.385) Prec@5 82.031 (80.196) Epoch: [32][3980/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6983 (1.8424) Prec@1 57.031 (58.388) Prec@5 83.594 (80.199) Epoch: [32][3990/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7189 (1.8423) Prec@1 57.031 (58.388) Prec@5 82.031 (80.201) Epoch: [32][4000/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7138 (1.8420) Prec@1 60.938 (58.392) Prec@5 78.906 (80.206) Epoch: [32][4010/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.4784 (1.8418) Prec@1 60.156 (58.393) Prec@5 85.938 (80.211) Epoch: [32][4020/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8703 (1.8415) Prec@1 57.031 (58.399) Prec@5 78.125 (80.216) Epoch: [32][4030/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9218 (1.8416) Prec@1 53.125 (58.393) Prec@5 78.906 (80.214) Epoch: [32][4040/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1279 (1.8417) Prec@1 54.688 (58.393) Prec@5 75.781 (80.214) Epoch: [32][4050/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7163 (1.8414) Prec@1 60.938 (58.395) Prec@5 78.906 (80.216) Epoch: [32][4060/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7225 (1.8412) Prec@1 60.156 (58.399) Prec@5 79.688 (80.218) Epoch: [32][4070/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8759 (1.8410) Prec@1 60.156 (58.404) Prec@5 76.562 (80.221) Epoch: [32][4080/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8154 (1.8410) Prec@1 59.375 (58.404) Prec@5 80.469 (80.219) Epoch: [32][4090/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6842 (1.8407) Prec@1 64.844 (58.410) Prec@5 82.812 (80.221) Epoch: [32][4100/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7376 (1.8406) Prec@1 62.500 (58.418) Prec@5 84.375 (80.222) Epoch: [32][4110/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9793 (1.8409) Prec@1 52.344 (58.411) Prec@5 76.562 (80.219) Epoch: [32][4120/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8252 (1.8407) Prec@1 60.938 (58.412) Prec@5 81.250 (80.221) Epoch: [32][4130/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.0357 (1.8408) Prec@1 60.156 (58.411) Prec@5 74.219 (80.219) Epoch: [32][4140/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9875 (1.8406) Prec@1 57.031 (58.415) Prec@5 76.562 (80.226) Epoch: [32][4150/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9068 (1.8405) Prec@1 54.688 (58.418) Prec@5 79.688 (80.227) Epoch: [32][4160/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7915 (1.8404) Prec@1 58.594 (58.420) Prec@5 82.031 (80.226) Epoch: [32][4170/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7747 (1.8404) Prec@1 61.719 (58.417) Prec@5 78.906 (80.225) Epoch: [32][4180/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.4700 (1.8403) Prec@1 60.938 (58.417) Prec@5 85.938 (80.225) Epoch: [32][4190/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9463 (1.8404) Prec@1 56.250 (58.419) Prec@5 77.344 (80.223) Epoch: [32][4200/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9927 (1.8405) Prec@1 50.000 (58.418) Prec@5 78.906 (80.220) Epoch: [32][4210/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6850 (1.8403) Prec@1 60.156 (58.422) Prec@5 83.594 (80.223) Epoch: [32][4220/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6454 (1.8402) Prec@1 60.156 (58.425) Prec@5 82.031 (80.224) Epoch: [32][4230/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9419 (1.8401) Prec@1 53.906 (58.419) Prec@5 78.125 (80.225) Epoch: [32][4240/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9872 (1.8403) Prec@1 58.594 (58.420) Prec@5 80.469 (80.223) Epoch: [32][4250/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7422 (1.8402) Prec@1 59.375 (58.421) Prec@5 82.031 (80.223) Epoch: [32][4260/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.5966 (1.8402) Prec@1 64.062 (58.424) Prec@5 80.469 (80.223) Epoch: [32][4270/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8641 (1.8403) Prec@1 61.719 (58.423) Prec@5 84.375 (80.221) Epoch: [32][4280/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9623 (1.8401) Prec@1 57.812 (58.427) Prec@5 74.219 (80.222) Epoch: [32][4290/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.2254 (1.8400) Prec@1 51.562 (58.425) Prec@5 72.656 (80.223) Epoch: [32][4300/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8752 (1.8400) Prec@1 55.469 (58.425) Prec@5 78.125 (80.222) Epoch: [32][4310/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8968 (1.8402) Prec@1 60.156 (58.423) Prec@5 79.688 (80.219) /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: [32][4320/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8476 (1.8402) Prec@1 59.375 (58.423) Prec@5 80.469 (80.220) Epoch: [32][4330/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7608 (1.8402) Prec@1 57.812 (58.424) Prec@5 84.375 (80.222) Epoch: [32][4340/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1886 (1.8402) Prec@1 43.750 (58.423) Prec@5 78.125 (80.223) Epoch: [32][4350/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9410 (1.8400) Prec@1 57.812 (58.427) Prec@5 75.000 (80.227) Epoch: [32][4360/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7629 (1.8399) Prec@1 62.500 (58.427) Prec@5 85.156 (80.230) Epoch: [32][4370/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5247 (1.8398) Prec@1 67.969 (58.427) Prec@5 87.500 (80.230) Epoch: [32][4380/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8284 (1.8398) Prec@1 57.812 (58.426) Prec@5 80.469 (80.229) Epoch: [32][4390/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7564 (1.8397) Prec@1 59.375 (58.428) Prec@5 80.469 (80.234) Epoch: [32][4400/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9826 (1.8396) Prec@1 59.375 (58.431) Prec@5 78.125 (80.237) Epoch: [32][4410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6074 (1.8396) Prec@1 64.062 (58.430) Prec@5 84.375 (80.237) Epoch: [32][4420/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8373 (1.8399) Prec@1 57.812 (58.426) Prec@5 80.469 (80.230) Epoch: [32][4430/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8624 (1.8401) Prec@1 53.906 (58.424) Prec@5 79.688 (80.226) Epoch: [32][4440/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7176 (1.8401) Prec@1 57.812 (58.426) Prec@5 86.719 (80.226) Epoch: [32][4450/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1440 (1.8402) Prec@1 56.250 (58.422) Prec@5 76.562 (80.225) Epoch: [32][4460/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7699 (1.8401) Prec@1 55.469 (58.422) Prec@5 80.469 (80.225) Epoch: [32][4470/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9104 (1.8403) Prec@1 57.812 (58.417) Prec@5 82.812 (80.224) Epoch: [32][4480/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6754 (1.8402) Prec@1 64.062 (58.419) Prec@5 82.812 (80.223) Epoch: [32][4490/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8498 (1.8401) Prec@1 54.688 (58.420) Prec@5 80.469 (80.223) Epoch: [32][4500/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8664 (1.8401) Prec@1 60.938 (58.423) Prec@5 82.812 (80.222) Epoch: [32][4510/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9475 (1.8400) Prec@1 55.469 (58.423) Prec@5 80.469 (80.224) Epoch: [32][4520/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.4001 (1.8399) Prec@1 64.844 (58.423) Prec@5 84.375 (80.225) Epoch: [32][4530/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9949 (1.8400) Prec@1 55.469 (58.423) Prec@5 78.125 (80.222) Epoch: [32][4540/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8271 (1.8400) Prec@1 56.250 (58.420) Prec@5 81.250 (80.223) Epoch: [32][4550/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7023 (1.8400) Prec@1 60.938 (58.422) Prec@5 80.469 (80.224) Epoch: [32][4560/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6817 (1.8400) Prec@1 57.812 (58.422) Prec@5 82.812 (80.225) Epoch: [32][4570/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8343 (1.8399) Prec@1 55.469 (58.423) Prec@5 81.250 (80.227) Epoch: [32][4580/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7873 (1.8400) Prec@1 54.688 (58.422) Prec@5 83.594 (80.226) Epoch: [32][4590/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5670 (1.8399) Prec@1 64.062 (58.420) Prec@5 83.594 (80.229) Epoch: [32][4600/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8476 (1.8399) Prec@1 56.250 (58.417) Prec@5 83.594 (80.230) Epoch: [32][4610/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.8804 (1.8398) Prec@1 57.812 (58.416) Prec@5 79.688 (80.231) Epoch: [32][4620/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8202 (1.8398) Prec@1 59.375 (58.416) Prec@5 80.469 (80.230) Epoch: [32][4630/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1355 (1.8399) Prec@1 57.031 (58.415) Prec@5 75.781 (80.229) Epoch: [32][4640/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7551 (1.8400) Prec@1 59.375 (58.414) Prec@5 79.688 (80.230) Epoch: [32][4650/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6950 (1.8400) Prec@1 65.625 (58.415) Prec@5 78.125 (80.230) /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: [32][4660/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7148 (1.8400) Prec@1 60.156 (58.415) Prec@5 82.031 (80.230) Epoch: [32][4670/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.9222 (1.8400) Prec@1 53.125 (58.415) Prec@5 82.031 (80.230) Epoch: [32][4680/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7860 (1.8402) Prec@1 61.719 (58.412) Prec@5 78.906 (80.224) Epoch: [32][4690/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0917 (1.8401) Prec@1 60.156 (58.417) Prec@5 77.344 (80.226) Epoch: [32][4700/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8354 (1.8403) Prec@1 55.469 (58.413) Prec@5 82.031 (80.221) Epoch: [32][4710/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7609 (1.8405) Prec@1 53.906 (58.405) Prec@5 82.031 (80.218) Epoch: [32][4720/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9395 (1.8406) Prec@1 58.594 (58.402) Prec@5 79.688 (80.218) Epoch: [32][4730/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7015 (1.8407) Prec@1 59.375 (58.400) Prec@5 82.031 (80.215) /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: [32][4740/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9417 (1.8407) Prec@1 58.594 (58.403) Prec@5 75.781 (80.214) Epoch: [32][4750/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.2570 (1.8408) Prec@1 54.688 (58.401) Prec@5 71.094 (80.210) Epoch: [32][4760/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1829 (1.8409) Prec@1 52.344 (58.402) Prec@5 71.875 (80.209) Epoch: [32][4770/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7271 (1.8411) Prec@1 57.812 (58.399) Prec@5 81.250 (80.205) Epoch: [32][4780/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.5819 (1.8408) Prec@1 60.938 (58.403) Prec@5 83.594 (80.210) Epoch: [32][4790/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.4928 (1.8407) Prec@1 64.844 (58.406) Prec@5 87.500 (80.213) Epoch: [32][4800/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6997 (1.8406) Prec@1 57.812 (58.404) Prec@5 82.031 (80.214) Epoch: [32][4810/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.2676 (1.8406) Prec@1 50.000 (58.405) Prec@5 70.312 (80.213) Epoch: [32][4820/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.7026 (1.8405) Prec@1 61.719 (58.407) Prec@5 80.469 (80.213) Epoch: [32][4830/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6725 (1.8404) Prec@1 66.406 (58.410) Prec@5 84.375 (80.218) Epoch: [32][4840/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9608 (1.8403) Prec@1 59.375 (58.410) Prec@5 80.469 (80.222) Epoch: [32][4850/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3214 (1.8404) Prec@1 50.781 (58.406) Prec@5 71.094 (80.218) Epoch: [32][4860/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.1281 (1.8404) Prec@1 51.562 (58.403) Prec@5 78.125 (80.220) Epoch: [32][4870/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7338 (1.8404) Prec@1 54.688 (58.400) Prec@5 80.469 (80.220) Epoch: [32][4880/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9007 (1.8401) Prec@1 55.469 (58.408) Prec@5 75.781 (80.223) Epoch: [32][4890/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9163 (1.8399) Prec@1 57.812 (58.412) Prec@5 79.688 (80.227) Epoch: [32][4900/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6265 (1.8399) Prec@1 60.938 (58.411) Prec@5 82.031 (80.228) Epoch: [32][4910/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4655 (1.8398) Prec@1 67.969 (58.412) Prec@5 88.281 (80.229) Epoch: [32][4920/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8041 (1.8396) Prec@1 57.031 (58.417) Prec@5 82.031 (80.233) Epoch: [32][4930/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7943 (1.8394) Prec@1 58.594 (58.422) Prec@5 80.469 (80.234) Epoch: [32][4940/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.4873 (1.8392) Prec@1 66.406 (58.426) Prec@5 84.375 (80.237) Epoch: [32][4950/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9544 (1.8393) Prec@1 54.688 (58.422) Prec@5 78.125 (80.234) Epoch: [32][4960/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6761 (1.8393) Prec@1 60.156 (58.423) Prec@5 82.031 (80.233) Epoch: [32][4970/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6230 (1.8394) Prec@1 64.062 (58.420) Prec@5 84.375 (80.233) Epoch: [32][4980/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.5322 (1.8390) Prec@1 60.156 (58.426) Prec@5 84.375 (80.239) Epoch: [32][4990/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0373 (1.8390) Prec@1 53.125 (58.425) Prec@5 75.781 (80.239) Epoch: [32][5000/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0521 (1.8390) Prec@1 56.250 (58.424) Prec@5 78.125 (80.237) Epoch: [32][5010/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9717 (1.8389) Prec@1 58.594 (58.429) Prec@5 78.125 (80.240) Epoch: [32][5020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9238 (1.8389) Prec@1 51.562 (58.427) Prec@5 82.812 (80.241) Epoch: [32][5030/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6946 (1.8389) Prec@1 60.938 (58.428) Prec@5 82.812 (80.242) Epoch: [32][5040/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.3699 (1.8390) Prec@1 66.406 (58.425) Prec@5 87.500 (80.240) Epoch: [32][5050/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7556 (1.8389) Prec@1 57.812 (58.426) Prec@5 83.594 (80.242) Epoch: [32][5060/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0977 (1.8388) Prec@1 57.031 (58.424) Prec@5 73.438 (80.242) Epoch: [32][5070/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0518 (1.8389) Prec@1 52.344 (58.421) Prec@5 74.219 (80.242) Epoch: [32][5080/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9213 (1.8391) Prec@1 59.375 (58.417) Prec@5 79.688 (80.238) Epoch: [32][5090/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6871 (1.8389) Prec@1 57.031 (58.419) Prec@5 82.812 (80.241) Epoch: [32][5100/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7261 (1.8389) Prec@1 64.062 (58.417) Prec@5 85.156 (80.242) Epoch: [32][5110/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8079 (1.8390) Prec@1 57.031 (58.415) Prec@5 78.906 (80.240) Epoch: [32][5120/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8741 (1.8391) Prec@1 57.031 (58.413) Prec@5 79.688 (80.240) Epoch: [32][5130/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0420 (1.8391) Prec@1 49.219 (58.412) Prec@5 77.344 (80.238) Epoch: [32][5140/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7494 (1.8391) Prec@1 60.156 (58.416) Prec@5 82.812 (80.240) Epoch: [32][5150/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.5772 (1.8390) Prec@1 63.281 (58.414) Prec@5 84.375 (80.241) Epoch: [32][5160/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8111 (1.8392) Prec@1 55.469 (58.410) Prec@5 81.250 (80.238) Epoch: [32][5170/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0374 (1.8391) Prec@1 55.469 (58.413) Prec@5 75.000 (80.240) Epoch: [32][5180/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.5234 (1.8391) Prec@1 61.719 (58.413) Prec@5 85.156 (80.239) Epoch: [32][5190/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7283 (1.8391) Prec@1 58.594 (58.413) Prec@5 82.031 (80.240) Epoch: [32][5200/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7240 (1.8390) Prec@1 60.156 (58.416) Prec@5 79.688 (80.240) Epoch: [32][5210/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9344 (1.8390) Prec@1 55.469 (58.416) Prec@5 78.906 (80.241) Epoch: [32][5220/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7092 (1.8391) Prec@1 62.500 (58.416) Prec@5 82.031 (80.238) Epoch: [32][5230/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6678 (1.8391) Prec@1 61.719 (58.417) Prec@5 76.562 (80.236) Epoch: [32][5240/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8234 (1.8390) Prec@1 54.688 (58.420) Prec@5 79.688 (80.237) Epoch: [32][5250/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7424 (1.8390) Prec@1 63.281 (58.420) Prec@5 81.250 (80.236) Epoch: [32][5260/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8488 (1.8390) Prec@1 57.031 (58.417) Prec@5 83.594 (80.238) Epoch: [32][5270/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6800 (1.8391) Prec@1 60.156 (58.416) Prec@5 81.250 (80.237) Epoch: [32][5280/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7811 (1.8391) Prec@1 57.812 (58.414) Prec@5 82.812 (80.238) Epoch: [32][5290/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0775 (1.8391) Prec@1 52.344 (58.414) Prec@5 72.656 (80.238) Epoch: [32][5300/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0630 (1.8392) Prec@1 57.812 (58.411) Prec@5 76.562 (80.237) Epoch: [32][5310/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7073 (1.8393) Prec@1 63.281 (58.411) Prec@5 82.812 (80.235) Epoch: [32][5320/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0767 (1.8393) Prec@1 59.375 (58.408) Prec@5 75.781 (80.233) Epoch: [32][5330/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9377 (1.8392) Prec@1 58.594 (58.409) Prec@5 78.906 (80.234) Epoch: [32][5340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0640 (1.8394) Prec@1 60.938 (58.409) Prec@5 78.125 (80.231) Epoch: [32][5350/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7641 (1.8393) Prec@1 62.500 (58.411) Prec@5 80.469 (80.236) Epoch: [32][5360/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6989 (1.8392) Prec@1 60.156 (58.411) Prec@5 82.812 (80.238) Epoch: [32][5370/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8817 (1.8390) Prec@1 56.250 (58.412) Prec@5 83.594 (80.243) Epoch: [32][5380/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5211 (1.8387) Prec@1 63.281 (58.414) Prec@5 84.375 (80.248) Epoch: [32][5390/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7152 (1.8387) Prec@1 63.281 (58.411) Prec@5 83.594 (80.248) Epoch: [32][5400/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9668 (1.8388) Prec@1 58.594 (58.408) Prec@5 77.344 (80.248) Epoch: [32][5410/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.5484 (1.8388) Prec@1 59.375 (58.407) Prec@5 86.719 (80.246) Epoch: [32][5420/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0546 (1.8389) Prec@1 60.156 (58.409) Prec@5 79.688 (80.245) Epoch: [32][5430/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2445 (1.8389) Prec@1 48.438 (58.408) Prec@5 71.094 (80.244) Epoch: [32][5440/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8416 (1.8390) Prec@1 55.469 (58.405) Prec@5 77.344 (80.243) Epoch: [32][5450/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0454 (1.8390) Prec@1 60.938 (58.407) Prec@5 75.781 (80.241) Epoch: [32][5460/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.2784 (1.8387) Prec@1 70.312 (58.413) Prec@5 89.844 (80.245) Epoch: [32][5470/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7915 (1.8388) Prec@1 64.062 (58.413) Prec@5 78.125 (80.243) Epoch: [32][5480/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.5601 (1.8388) Prec@1 66.406 (58.415) Prec@5 83.594 (80.243) Epoch: [32][5490/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0840 (1.8389) Prec@1 55.469 (58.413) Prec@5 76.562 (80.242) Epoch: [32][5500/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7639 (1.8388) Prec@1 63.281 (58.415) Prec@5 85.156 (80.245) Epoch: [32][5510/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9069 (1.8388) Prec@1 58.594 (58.412) Prec@5 79.688 (80.245) Epoch: [32][5520/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1342 (1.8389) Prec@1 56.250 (58.412) Prec@5 71.875 (80.243) Epoch: [32][5530/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9752 (1.8389) Prec@1 63.281 (58.412) Prec@5 80.469 (80.244) Epoch: [32][5540/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.0509 (1.8390) Prec@1 50.781 (58.409) Prec@5 78.125 (80.243) Epoch: [32][5550/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9347 (1.8390) Prec@1 54.688 (58.408) Prec@5 72.656 (80.241) Epoch: [32][5560/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8113 (1.8391) Prec@1 57.031 (58.407) Prec@5 82.812 (80.241) Epoch: [32][5570/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5666 (1.8391) Prec@1 68.750 (58.410) Prec@5 85.156 (80.242) Epoch: [32][5580/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5623 (1.8390) Prec@1 64.062 (58.413) Prec@5 83.594 (80.245) Epoch: [32][5590/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7524 (1.8390) Prec@1 57.812 (58.411) Prec@5 80.469 (80.245) Epoch: [32][5600/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0469 (1.8390) Prec@1 55.469 (58.409) Prec@5 78.906 (80.245) Epoch: [32][5610/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6204 (1.8390) Prec@1 58.594 (58.408) Prec@5 84.375 (80.245) Epoch: [32][5620/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9893 (1.8391) Prec@1 59.375 (58.407) Prec@5 76.562 (80.244) Epoch: [32][5630/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8543 (1.8391) Prec@1 52.344 (58.405) Prec@5 80.469 (80.244) Epoch: [32][5640/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.4037 (1.8391) Prec@1 69.531 (58.407) Prec@5 88.281 (80.244) Epoch: [32][5650/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1815 (1.8394) Prec@1 53.906 (58.405) Prec@5 75.781 (80.240) Epoch: [32][5660/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6956 (1.8394) Prec@1 58.594 (58.402) Prec@5 82.812 (80.240) Epoch: [32][5670/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.4964 (1.8393) Prec@1 67.188 (58.405) Prec@5 84.375 (80.241) Epoch: [32][5680/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6806 (1.8393) Prec@1 67.969 (58.407) Prec@5 85.156 (80.243) Epoch: [32][5690/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1458 (1.8394) Prec@1 50.000 (58.405) Prec@5 78.125 (80.241) Epoch: [32][5700/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8402 (1.8395) Prec@1 56.250 (58.404) Prec@5 80.469 (80.243) Epoch: [32][5710/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8733 (1.8394) Prec@1 62.500 (58.407) Prec@5 79.688 (80.245) Epoch: [32][5720/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.7833 (1.8394) Prec@1 53.125 (58.404) Prec@5 83.594 (80.245) Epoch: [32][5730/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.2145 (1.8394) Prec@1 53.906 (58.405) Prec@5 75.781 (80.246) Epoch: [32][5740/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5628 (1.8393) Prec@1 60.938 (58.407) Prec@5 80.469 (80.246) Epoch: [32][5750/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8705 (1.8393) Prec@1 56.250 (58.407) Prec@5 78.125 (80.245) Epoch: [32][5760/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7097 (1.8392) Prec@1 58.594 (58.411) Prec@5 82.031 (80.250) Epoch: [32][5770/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5548 (1.8392) Prec@1 64.844 (58.410) Prec@5 81.250 (80.251) Epoch: [32][5780/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8507 (1.8391) Prec@1 59.375 (58.414) Prec@5 82.031 (80.253) Epoch: [32][5790/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.3049 (1.8391) Prec@1 50.781 (58.412) Prec@5 77.344 (80.254) Epoch: [32][5800/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7511 (1.8391) Prec@1 66.406 (58.414) Prec@5 82.031 (80.255) Epoch: [32][5810/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8299 (1.8392) Prec@1 59.375 (58.412) Prec@5 83.594 (80.254) Epoch: [32][5820/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7266 (1.8393) Prec@1 59.375 (58.409) Prec@5 85.938 (80.254) Epoch: [32][5830/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.5218 (1.8393) Prec@1 64.062 (58.405) Prec@5 85.156 (80.252) Epoch: [32][5840/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.1735 (1.8396) Prec@1 45.312 (58.396) Prec@5 78.125 (80.248) Epoch: [32][5850/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8540 (1.8394) Prec@1 59.375 (58.402) Prec@5 77.344 (80.253) Epoch: [32][5860/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6533 (1.8393) Prec@1 60.938 (58.404) Prec@5 82.031 (80.255) Epoch: [32][5870/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8887 (1.8392) Prec@1 55.469 (58.404) Prec@5 78.906 (80.255) Epoch: [32][5880/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7861 (1.8393) Prec@1 61.719 (58.403) Prec@5 81.250 (80.255) Epoch: [32][5890/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8231 (1.8391) Prec@1 56.250 (58.407) Prec@5 76.562 (80.257) Epoch: [32][5900/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9994 (1.8391) Prec@1 58.594 (58.405) Prec@5 73.438 (80.257) Epoch: [32][5910/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8568 (1.8391) Prec@1 57.812 (58.406) Prec@5 84.375 (80.258) Epoch: [32][5920/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7086 (1.8391) Prec@1 59.375 (58.405) Prec@5 84.375 (80.259) Epoch: [32][5930/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7264 (1.8391) Prec@1 59.375 (58.406) Prec@5 81.250 (80.260) Epoch: [32][5940/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8939 (1.8391) Prec@1 56.250 (58.403) Prec@5 78.906 (80.262) Epoch: [32][5950/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8620 (1.8390) Prec@1 57.031 (58.405) Prec@5 78.125 (80.263) Epoch: [32][5960/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0469 (1.8392) Prec@1 55.469 (58.403) Prec@5 80.469 (80.260) Epoch: [32][5970/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9984 (1.8393) Prec@1 50.781 (58.397) Prec@5 75.000 (80.258) Epoch: [32][5980/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0224 (1.8392) Prec@1 56.250 (58.396) Prec@5 77.344 (80.258) Epoch: [32][5990/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1146 (1.8394) Prec@1 58.594 (58.393) Prec@5 70.312 (80.252) Epoch: [32][6000/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9220 (1.8395) Prec@1 56.250 (58.392) Prec@5 79.688 (80.252) Epoch: [32][6010/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6595 (1.8395) Prec@1 62.500 (58.392) Prec@5 81.250 (80.252) Epoch: [32][6020/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8758 (1.8395) Prec@1 60.156 (58.391) Prec@5 79.688 (80.252) Epoch: [32][6030/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7596 (1.8396) Prec@1 56.250 (58.389) Prec@5 78.125 (80.250) Epoch: [32][6040/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9433 (1.8397) Prec@1 60.156 (58.388) Prec@5 78.906 (80.249) Epoch: [32][6050/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7504 (1.8397) Prec@1 60.156 (58.388) Prec@5 82.031 (80.250) Epoch: [32][6060/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9863 (1.8396) Prec@1 55.469 (58.388) Prec@5 77.344 (80.250) Epoch: [32][6070/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8228 (1.8396) Prec@1 58.594 (58.387) Prec@5 79.688 (80.251) Epoch: [32][6080/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9645 (1.8396) Prec@1 55.469 (58.385) Prec@5 79.688 (80.252) Epoch: [32][6090/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9629 (1.8396) Prec@1 54.688 (58.382) Prec@5 78.906 (80.251) Epoch: [32][6100/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6696 (1.8396) Prec@1 59.375 (58.382) Prec@5 82.031 (80.252) Epoch: [32][6110/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5406 (1.8394) Prec@1 63.281 (58.385) Prec@5 85.156 (80.252) Epoch: [32][6120/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0158 (1.8395) Prec@1 61.719 (58.385) Prec@5 81.250 (80.252) Epoch: [32][6130/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.1220 (1.8396) Prec@1 47.656 (58.383) Prec@5 77.344 (80.251) Epoch: [32][6140/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8559 (1.8395) Prec@1 60.156 (58.383) Prec@5 84.375 (80.254) Epoch: [32][6150/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8553 (1.8395) Prec@1 53.125 (58.383) Prec@5 80.469 (80.255) Epoch: [32][6160/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9796 (1.8395) Prec@1 55.469 (58.382) Prec@5 78.125 (80.254) Epoch: [32][6170/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7251 (1.8395) Prec@1 60.156 (58.380) Prec@5 79.688 (80.254) Epoch: [32][6180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8061 (1.8395) Prec@1 56.250 (58.379) Prec@5 78.906 (80.254) Epoch: [32][6190/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8851 (1.8395) Prec@1 60.156 (58.377) Prec@5 78.906 (80.254) Epoch: [32][6200/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8457 (1.8394) Prec@1 54.688 (58.377) Prec@5 78.906 (80.256) Epoch: [32][6210/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7010 (1.8393) Prec@1 60.938 (58.375) Prec@5 78.906 (80.257) Epoch: [32][6220/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8099 (1.8394) Prec@1 52.344 (58.370) Prec@5 78.125 (80.255) Epoch: [32][6230/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6268 (1.8394) Prec@1 61.719 (58.369) Prec@5 82.031 (80.254) Epoch: [32][6240/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6427 (1.8395) Prec@1 61.719 (58.369) Prec@5 81.250 (80.253) Epoch: [32][6250/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7359 (1.8395) Prec@1 58.594 (58.368) Prec@5 80.469 (80.251) Epoch: [32][6260/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8774 (1.8396) Prec@1 55.469 (58.365) Prec@5 81.250 (80.251) Epoch: [32][6270/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7209 (1.8396) Prec@1 64.844 (58.367) Prec@5 84.375 (80.251) Epoch: [32][6280/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.4884 (1.8394) Prec@1 67.188 (58.372) Prec@5 85.938 (80.254) Epoch: [32][6290/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8810 (1.8394) Prec@1 58.594 (58.371) Prec@5 79.688 (80.254) Epoch: [32][6300/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.1145 (1.8394) Prec@1 57.031 (58.370) Prec@5 73.438 (80.252) Epoch: [32][6310/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3150 (1.8396) Prec@1 46.094 (58.368) Prec@5 73.438 (80.250) Epoch: [32][6320/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9765 (1.8395) Prec@1 53.125 (58.368) Prec@5 78.125 (80.252) Epoch: [32][6330/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9725 (1.8395) Prec@1 51.562 (58.369) Prec@5 78.906 (80.255) Epoch: [32][6340/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8077 (1.8395) Prec@1 60.156 (58.370) Prec@5 82.031 (80.254) Epoch: [32][6350/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9320 (1.8394) Prec@1 53.125 (58.372) Prec@5 79.688 (80.254) Epoch: [32][6360/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9518 (1.8392) Prec@1 56.250 (58.378) Prec@5 75.781 (80.257) Epoch: [32][6370/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7796 (1.8392) Prec@1 59.375 (58.379) Prec@5 81.250 (80.259) Epoch: [32][6380/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9801 (1.8392) Prec@1 52.344 (58.378) Prec@5 81.250 (80.259) Epoch: [32][6390/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3687 (1.8391) Prec@1 54.688 (58.380) Prec@5 70.312 (80.261) Epoch: [32][6400/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9445 (1.8391) Prec@1 57.812 (58.382) Prec@5 77.344 (80.260) Epoch: [32][6410/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6441 (1.8391) Prec@1 62.500 (58.381) Prec@5 83.594 (80.258) Epoch: [32][6420/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8229 (1.8393) Prec@1 52.344 (58.376) Prec@5 82.031 (80.257) Epoch: [32][6430/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8368 (1.8392) Prec@1 60.938 (58.377) Prec@5 79.688 (80.258) Epoch: [32][6440/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8538 (1.8392) Prec@1 59.375 (58.379) Prec@5 83.594 (80.259) Epoch: [32][6450/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8967 (1.8392) Prec@1 56.250 (58.382) Prec@5 81.250 (80.259) Epoch: [32][6460/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.4021 (1.8391) Prec@1 67.188 (58.383) Prec@5 85.156 (80.261) Epoch: [32][6470/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1205 (1.8392) Prec@1 50.781 (58.381) Prec@5 77.344 (80.260) Epoch: [32][6480/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9247 (1.8393) Prec@1 59.375 (58.379) Prec@5 77.344 (80.257) Epoch: [32][6490/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6531 (1.8392) Prec@1 60.938 (58.383) Prec@5 83.594 (80.258) /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: [32][6500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2056 (1.8392) Prec@1 49.219 (58.380) Prec@5 75.000 (80.257) Epoch: [32][6510/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8655 (1.8392) Prec@1 57.812 (58.382) Prec@5 78.906 (80.255) Epoch: [32][6520/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5258 (1.8391) Prec@1 65.625 (58.386) Prec@5 88.281 (80.256) Epoch: [32][6530/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8624 (1.8390) Prec@1 57.031 (58.388) Prec@5 78.906 (80.258) Epoch: [32][6540/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7824 (1.8390) Prec@1 57.031 (58.385) Prec@5 82.031 (80.256) Epoch: [32][6550/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0934 (1.8390) Prec@1 55.469 (58.385) Prec@5 78.125 (80.258) Epoch: [32][6560/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0324 (1.8390) Prec@1 55.469 (58.385) Prec@5 78.906 (80.259) Epoch: [32][6570/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8505 (1.8390) Prec@1 56.250 (58.384) Prec@5 82.031 (80.259) Epoch: [32][6580/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8573 (1.8390) Prec@1 51.562 (58.384) Prec@5 78.906 (80.258) Epoch: [32][6590/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6128 (1.8390) Prec@1 62.500 (58.386) Prec@5 82.812 (80.259) Epoch: [32][6600/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7362 (1.8388) Prec@1 62.500 (58.389) Prec@5 80.469 (80.258) Epoch: [32][6610/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1857 (1.8389) Prec@1 50.000 (58.389) Prec@5 75.781 (80.259) Epoch: [32][6620/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.5313 (1.8389) Prec@1 67.188 (58.389) Prec@5 82.812 (80.259) Epoch: [32][6630/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8634 (1.8388) Prec@1 56.250 (58.390) Prec@5 77.344 (80.258) Epoch: [32][6640/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0070 (1.8388) Prec@1 56.250 (58.390) Prec@5 74.219 (80.259) Epoch: [32][6650/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8463 (1.8387) Prec@1 58.594 (58.392) Prec@5 78.125 (80.258) Epoch: [32][6660/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.0518 (1.8389) Prec@1 56.250 (58.389) Prec@5 76.562 (80.254) Epoch: [32][6670/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8790 (1.8390) Prec@1 58.594 (58.387) Prec@5 82.031 (80.253) Epoch: [32][6680/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8886 (1.8389) Prec@1 60.156 (58.387) Prec@5 78.906 (80.254) Epoch: [32][6690/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9324 (1.8388) Prec@1 56.250 (58.390) Prec@5 78.906 (80.256) Epoch: [32][6700/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5364 (1.8387) Prec@1 65.625 (58.392) Prec@5 88.281 (80.257) Epoch: [32][6710/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.6329 (1.8387) Prec@1 64.062 (58.392) Prec@5 85.938 (80.257) Epoch: [32][6720/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8633 (1.8388) Prec@1 59.375 (58.393) Prec@5 82.031 (80.255) Epoch: [32][6730/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8926 (1.8389) Prec@1 60.938 (58.389) Prec@5 78.906 (80.253) Epoch: [32][6740/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7886 (1.8389) Prec@1 60.156 (58.389) Prec@5 79.688 (80.252) Epoch: [32][6750/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6982 (1.8390) Prec@1 60.938 (58.389) Prec@5 79.688 (80.253) Epoch: [32][6760/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8086 (1.8389) Prec@1 59.375 (58.386) Prec@5 78.906 (80.256) Epoch: [32][6770/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.2507 (1.8389) Prec@1 48.438 (58.384) Prec@5 75.781 (80.256) Epoch: [32][6780/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7001 (1.8389) Prec@1 61.719 (58.382) Prec@5 83.594 (80.254) Epoch: [32][6790/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0779 (1.8390) Prec@1 53.906 (58.382) Prec@5 77.344 (80.255) Epoch: [32][6800/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8497 (1.8390) Prec@1 57.031 (58.379) Prec@5 79.688 (80.255) Epoch: [32][6810/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7194 (1.8389) Prec@1 61.719 (58.380) Prec@5 80.469 (80.256) Epoch: [32][6820/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5531 (1.8388) Prec@1 65.625 (58.382) Prec@5 83.594 (80.258) Epoch: [32][6830/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9323 (1.8389) Prec@1 55.469 (58.379) Prec@5 79.688 (80.258) Epoch: [32][6840/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9116 (1.8388) Prec@1 59.375 (58.381) Prec@5 78.906 (80.259) Epoch: [32][6850/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7950 (1.8388) Prec@1 60.156 (58.381) Prec@5 79.688 (80.258) Epoch: [32][6860/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6452 (1.8389) Prec@1 60.156 (58.381) Prec@5 82.812 (80.257) Epoch: [32][6870/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.3415 (1.8386) Prec@1 71.875 (58.386) Prec@5 85.938 (80.260) Epoch: [32][6880/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6897 (1.8387) Prec@1 64.844 (58.388) Prec@5 78.906 (80.259) Epoch: [32][6890/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7406 (1.8386) Prec@1 62.500 (58.389) Prec@5 79.688 (80.260) Epoch: [32][6900/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.3252 (1.8388) Prec@1 43.750 (58.385) Prec@5 75.781 (80.259) Epoch: [32][6910/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7995 (1.8387) Prec@1 58.594 (58.385) Prec@5 82.031 (80.259) Epoch: [32][6920/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9586 (1.8388) Prec@1 54.688 (58.384) Prec@5 80.469 (80.257) Epoch: [32][6930/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7477 (1.8388) Prec@1 59.375 (58.386) Prec@5 84.375 (80.258) Epoch: [32][6940/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8213 (1.8389) Prec@1 59.375 (58.384) Prec@5 80.469 (80.255) Epoch: [32][6950/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6188 (1.8391) Prec@1 67.188 (58.382) Prec@5 82.031 (80.251) Epoch: [32][6960/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9006 (1.8391) Prec@1 55.469 (58.380) Prec@5 82.031 (80.249) Epoch: [32][6970/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1828 (1.8392) Prec@1 57.812 (58.380) Prec@5 75.000 (80.248) Epoch: [32][6980/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9257 (1.8392) Prec@1 54.688 (58.381) Prec@5 79.688 (80.249) Epoch: [32][6990/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6924 (1.8390) Prec@1 60.156 (58.383) Prec@5 82.031 (80.252) Epoch: [32][7000/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9801 (1.8389) Prec@1 51.562 (58.384) Prec@5 78.906 (80.253) Epoch: [32][7010/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8993 (1.8389) Prec@1 57.812 (58.384) Prec@5 78.906 (80.255) Epoch: [32][7020/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7263 (1.8387) Prec@1 58.594 (58.387) Prec@5 82.031 (80.257) Epoch: [32][7030/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.5700 (1.8387) Prec@1 62.500 (58.388) Prec@5 85.938 (80.258) Epoch: [32][7040/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0073 (1.8389) Prec@1 51.562 (58.385) Prec@5 76.562 (80.255) Epoch: [32][7050/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7984 (1.8389) Prec@1 60.938 (58.383) Prec@5 81.250 (80.256) Epoch: [32][7060/10010] Time 0.328 (0.331) Data 0.002 (0.001) Loss 1.7802 (1.8389) Prec@1 60.156 (58.382) Prec@5 82.031 (80.257) Epoch: [32][7070/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0089 (1.8389) Prec@1 51.562 (58.382) Prec@5 78.125 (80.257) Epoch: [32][7080/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7606 (1.8389) Prec@1 59.375 (58.384) Prec@5 82.812 (80.260) Epoch: [32][7090/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9019 (1.8389) Prec@1 58.594 (58.384) Prec@5 80.469 (80.261) Epoch: [32][7100/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6886 (1.8387) Prec@1 57.812 (58.384) Prec@5 82.812 (80.263) Epoch: [32][7110/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7563 (1.8388) Prec@1 56.250 (58.384) Prec@5 82.812 (80.263) Epoch: [32][7120/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0209 (1.8387) Prec@1 53.125 (58.384) Prec@5 80.469 (80.265) Epoch: [32][7130/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0307 (1.8388) Prec@1 55.469 (58.382) Prec@5 78.906 (80.265) Epoch: [32][7140/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7148 (1.8387) Prec@1 61.719 (58.383) Prec@5 81.250 (80.267) Epoch: [32][7150/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8328 (1.8388) Prec@1 57.812 (58.381) Prec@5 81.250 (80.265) Epoch: [32][7160/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8430 (1.8389) Prec@1 57.812 (58.380) Prec@5 76.562 (80.263) Epoch: [32][7170/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6334 (1.8389) Prec@1 61.719 (58.383) Prec@5 84.375 (80.266) Epoch: [32][7180/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7830 (1.8388) Prec@1 60.938 (58.383) Prec@5 83.594 (80.267) Epoch: [32][7190/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8568 (1.8389) Prec@1 57.812 (58.381) Prec@5 79.688 (80.266) Epoch: [32][7200/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8682 (1.8389) Prec@1 55.469 (58.384) Prec@5 79.688 (80.266) Epoch: [32][7210/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9404 (1.8389) Prec@1 58.594 (58.386) Prec@5 79.688 (80.266) Epoch: [32][7220/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7906 (1.8388) Prec@1 62.500 (58.387) Prec@5 80.469 (80.267) Epoch: [32][7230/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.1484 (1.8388) Prec@1 50.000 (58.384) Prec@5 73.438 (80.266) Epoch: [32][7240/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5742 (1.8388) Prec@1 60.156 (58.384) Prec@5 86.719 (80.266) Epoch: [32][7250/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8033 (1.8389) Prec@1 60.156 (58.384) Prec@5 79.688 (80.266) Epoch: [32][7260/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6452 (1.8388) Prec@1 61.719 (58.386) Prec@5 82.812 (80.266) Epoch: [32][7270/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9593 (1.8389) Prec@1 56.250 (58.387) Prec@5 75.781 (80.265) Epoch: [32][7280/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8134 (1.8388) Prec@1 56.250 (58.388) Prec@5 79.688 (80.265) Epoch: [32][7290/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7643 (1.8388) Prec@1 58.594 (58.389) Prec@5 82.031 (80.264) Epoch: [32][7300/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8159 (1.8389) Prec@1 54.688 (58.390) Prec@5 77.344 (80.262) Epoch: [32][7310/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7706 (1.8388) Prec@1 57.812 (58.390) Prec@5 79.688 (80.261) Epoch: [32][7320/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9255 (1.8388) Prec@1 53.125 (58.389) Prec@5 78.906 (80.260) Epoch: [32][7330/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0074 (1.8388) Prec@1 53.125 (58.389) Prec@5 75.000 (80.261) Epoch: [32][7340/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0174 (1.8387) Prec@1 56.250 (58.391) Prec@5 78.906 (80.262) Epoch: [32][7350/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7038 (1.8387) Prec@1 59.375 (58.393) Prec@5 85.156 (80.262) Epoch: [32][7360/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 1.5414 (1.8386) Prec@1 64.062 (58.396) Prec@5 86.719 (80.263) Epoch: [32][7370/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6324 (1.8386) Prec@1 54.688 (58.394) Prec@5 88.281 (80.264) Epoch: [32][7380/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7426 (1.8385) Prec@1 61.719 (58.397) Prec@5 80.469 (80.266) Epoch: [32][7390/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8406 (1.8385) Prec@1 57.031 (58.395) Prec@5 80.469 (80.267) Epoch: [32][7400/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7253 (1.8386) Prec@1 63.281 (58.393) Prec@5 85.156 (80.267) Epoch: [32][7410/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.7537 (1.8386) Prec@1 61.719 (58.393) Prec@5 78.906 (80.266) Epoch: [32][7420/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8706 (1.8386) Prec@1 59.375 (58.392) Prec@5 83.594 (80.269) Epoch: [32][7430/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4171 (1.8385) Prec@1 65.625 (58.395) Prec@5 88.281 (80.269) Epoch: [32][7440/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0378 (1.8386) Prec@1 53.125 (58.393) Prec@5 77.344 (80.268) Epoch: [32][7450/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5601 (1.8386) Prec@1 61.719 (58.392) Prec@5 87.500 (80.268) Epoch: [32][7460/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6625 (1.8386) Prec@1 63.281 (58.393) Prec@5 82.031 (80.269) Epoch: [32][7470/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7953 (1.8387) Prec@1 60.156 (58.391) Prec@5 82.812 (80.268) Epoch: [32][7480/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8688 (1.8388) Prec@1 58.594 (58.390) Prec@5 76.562 (80.267) Epoch: [32][7490/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7495 (1.8388) Prec@1 60.156 (58.388) Prec@5 82.812 (80.266) Epoch: [32][7500/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7056 (1.8387) Prec@1 59.375 (58.389) Prec@5 82.031 (80.267) Epoch: [32][7510/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0020 (1.8387) Prec@1 58.594 (58.389) Prec@5 78.125 (80.267) Epoch: [32][7520/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8578 (1.8387) Prec@1 61.719 (58.390) Prec@5 80.469 (80.267) Epoch: [32][7530/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9980 (1.8386) Prec@1 60.156 (58.392) Prec@5 74.219 (80.268) Epoch: [32][7540/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9000 (1.8387) Prec@1 54.688 (58.389) Prec@5 76.562 (80.266) Epoch: [32][7550/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8155 (1.8386) Prec@1 60.156 (58.390) Prec@5 83.594 (80.267) Epoch: [32][7560/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0878 (1.8385) Prec@1 50.781 (58.390) Prec@5 75.000 (80.268) Epoch: [32][7570/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7927 (1.8386) Prec@1 57.031 (58.391) Prec@5 82.812 (80.269) Epoch: [32][7580/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8403 (1.8386) Prec@1 57.812 (58.390) Prec@5 82.031 (80.268) Epoch: [32][7590/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.4445 (1.8386) Prec@1 65.625 (58.391) Prec@5 89.062 (80.270) Epoch: [32][7600/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6785 (1.8385) Prec@1 55.469 (58.393) Prec@5 82.812 (80.272) Epoch: [32][7610/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6208 (1.8384) Prec@1 62.500 (58.393) Prec@5 84.375 (80.274) Epoch: [32][7620/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5197 (1.8385) Prec@1 64.844 (58.393) Prec@5 86.719 (80.275) Epoch: [32][7630/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7945 (1.8384) Prec@1 57.031 (58.395) Prec@5 80.469 (80.276) Epoch: [32][7640/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.1618 (1.8384) Prec@1 53.125 (58.395) Prec@5 74.219 (80.274) Epoch: [32][7650/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.0764 (1.8384) Prec@1 56.250 (58.395) Prec@5 75.781 (80.273) Epoch: [32][7660/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9319 (1.8384) Prec@1 60.938 (58.396) Prec@5 76.562 (80.273) Epoch: [32][7670/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8535 (1.8386) Prec@1 58.594 (58.393) Prec@5 80.469 (80.270) Epoch: [32][7680/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 1.8819 (1.8387) Prec@1 54.688 (58.393) Prec@5 83.594 (80.270) Epoch: [32][7690/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0341 (1.8387) Prec@1 51.562 (58.391) Prec@5 75.781 (80.270) Epoch: [32][7700/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7384 (1.8386) Prec@1 57.812 (58.394) Prec@5 79.688 (80.272) Epoch: [32][7710/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7217 (1.8386) Prec@1 60.938 (58.395) Prec@5 82.031 (80.270) Epoch: [32][7720/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8440 (1.8387) Prec@1 53.906 (58.393) Prec@5 79.688 (80.268) Epoch: [32][7730/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7477 (1.8387) Prec@1 59.375 (58.395) Prec@5 80.469 (80.267) Epoch: [32][7740/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7797 (1.8387) Prec@1 61.719 (58.396) Prec@5 82.812 (80.267) Epoch: [32][7750/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8575 (1.8386) Prec@1 57.812 (58.397) Prec@5 78.125 (80.269) Epoch: [32][7760/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.4900 (1.8385) Prec@1 60.156 (58.399) Prec@5 86.719 (80.272) Epoch: [32][7770/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0508 (1.8384) Prec@1 53.906 (58.400) Prec@5 73.438 (80.272) Epoch: [32][7780/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8293 (1.8384) Prec@1 58.594 (58.400) Prec@5 84.375 (80.272) Epoch: [32][7790/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7240 (1.8384) Prec@1 57.031 (58.399) Prec@5 82.812 (80.273) Epoch: [32][7800/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7778 (1.8384) Prec@1 59.375 (58.397) Prec@5 82.812 (80.273) Epoch: [32][7810/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8810 (1.8383) Prec@1 56.250 (58.398) Prec@5 78.906 (80.275) Epoch: [32][7820/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0394 (1.8384) Prec@1 52.344 (58.400) Prec@5 78.125 (80.275) Epoch: [32][7830/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0455 (1.8384) Prec@1 53.125 (58.399) Prec@5 78.125 (80.274) Epoch: [32][7840/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7222 (1.8386) Prec@1 57.812 (58.396) Prec@5 81.250 (80.271) Epoch: [32][7850/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0111 (1.8386) Prec@1 57.031 (58.397) Prec@5 78.906 (80.272) Epoch: [32][7860/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6874 (1.8385) Prec@1 64.062 (58.398) Prec@5 80.469 (80.273) Epoch: [32][7870/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0256 (1.8386) Prec@1 55.469 (58.394) Prec@5 76.562 (80.270) Epoch: [32][7880/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8529 (1.8385) Prec@1 59.375 (58.396) Prec@5 75.781 (80.270) Epoch: [32][7890/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0234 (1.8387) Prec@1 53.906 (58.392) Prec@5 73.438 (80.269) Epoch: [32][7900/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.3281 (1.8386) Prec@1 47.656 (58.395) Prec@5 76.562 (80.269) Epoch: [32][7910/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8110 (1.8384) Prec@1 59.375 (58.398) Prec@5 81.250 (80.271) Epoch: [32][7920/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7131 (1.8383) Prec@1 60.156 (58.399) Prec@5 82.812 (80.271) Epoch: [32][7930/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6324 (1.8382) Prec@1 59.375 (58.400) Prec@5 86.719 (80.274) Epoch: [32][7940/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.4885 (1.8382) Prec@1 65.625 (58.400) Prec@5 82.812 (80.274) Epoch: [32][7950/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7406 (1.8381) Prec@1 57.031 (58.401) Prec@5 82.812 (80.276) Epoch: [32][7960/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7388 (1.8381) Prec@1 63.281 (58.401) Prec@5 78.906 (80.276) Epoch: [32][7970/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.7659 (1.8381) Prec@1 65.625 (58.402) Prec@5 82.031 (80.276) Epoch: [32][7980/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.1054 (1.8380) Prec@1 57.812 (58.402) Prec@5 78.125 (80.277) Epoch: [32][7990/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7091 (1.8381) Prec@1 59.375 (58.401) Prec@5 80.469 (80.276) Epoch: [32][8000/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9523 (1.8382) Prec@1 54.688 (58.397) Prec@5 76.562 (80.273) Epoch: [32][8010/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7478 (1.8384) Prec@1 60.156 (58.396) Prec@5 81.250 (80.271) Epoch: [32][8020/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9508 (1.8384) Prec@1 60.938 (58.394) Prec@5 78.906 (80.271) Epoch: [32][8030/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6545 (1.8384) Prec@1 63.281 (58.394) Prec@5 80.469 (80.271) Epoch: [32][8040/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7333 (1.8384) Prec@1 56.250 (58.394) Prec@5 82.031 (80.271) Epoch: [32][8050/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8845 (1.8383) Prec@1 61.719 (58.396) Prec@5 78.125 (80.272) Epoch: [32][8060/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1378 (1.8383) Prec@1 53.906 (58.395) Prec@5 78.125 (80.273) Epoch: [32][8070/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6847 (1.8382) Prec@1 57.812 (58.395) Prec@5 83.594 (80.274) Epoch: [32][8080/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7172 (1.8383) Prec@1 60.156 (58.394) Prec@5 79.688 (80.273) Epoch: [32][8090/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8298 (1.8383) Prec@1 60.156 (58.391) Prec@5 78.906 (80.273) Epoch: [32][8100/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5747 (1.8383) Prec@1 64.844 (58.392) Prec@5 85.156 (80.272) Epoch: [32][8110/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8336 (1.8383) Prec@1 57.812 (58.392) Prec@5 78.906 (80.273) Epoch: [32][8120/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7981 (1.8383) Prec@1 57.812 (58.393) Prec@5 83.594 (80.274) Epoch: [32][8130/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8345 (1.8382) Prec@1 57.812 (58.393) Prec@5 81.250 (80.275) Epoch: [32][8140/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.1554 (1.8382) Prec@1 52.344 (58.394) Prec@5 72.656 (80.274) Epoch: [32][8150/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9323 (1.8381) Prec@1 59.375 (58.397) Prec@5 78.906 (80.275) Epoch: [32][8160/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7086 (1.8380) Prec@1 58.594 (58.398) Prec@5 82.812 (80.277) Epoch: [32][8170/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9199 (1.8382) Prec@1 59.375 (58.394) Prec@5 77.344 (80.273) Epoch: [32][8180/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5973 (1.8382) Prec@1 67.188 (58.395) Prec@5 80.469 (80.272) Epoch: [32][8190/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7137 (1.8383) Prec@1 64.062 (58.393) Prec@5 80.469 (80.270) Epoch: [32][8200/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6571 (1.8382) Prec@1 60.156 (58.394) Prec@5 82.812 (80.269) Epoch: [32][8210/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8570 (1.8383) Prec@1 53.906 (58.394) Prec@5 81.250 (80.269) Epoch: [32][8220/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9905 (1.8383) Prec@1 52.344 (58.393) Prec@5 76.562 (80.268) Epoch: [32][8230/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9625 (1.8383) Prec@1 57.031 (58.394) Prec@5 79.688 (80.269) Epoch: [32][8240/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6058 (1.8382) Prec@1 58.594 (58.396) Prec@5 85.156 (80.269) Epoch: [32][8250/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.5759 (1.8383) Prec@1 61.719 (58.393) Prec@5 85.156 (80.269) Epoch: [32][8260/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9171 (1.8384) Prec@1 56.250 (58.392) Prec@5 80.469 (80.269) Epoch: [32][8270/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7299 (1.8383) Prec@1 59.375 (58.391) Prec@5 79.688 (80.270) Epoch: [32][8280/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9190 (1.8383) Prec@1 57.812 (58.391) Prec@5 78.125 (80.270) Epoch: [32][8290/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6563 (1.8383) Prec@1 63.281 (58.391) Prec@5 82.812 (80.271) Epoch: [32][8300/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7624 (1.8383) Prec@1 59.375 (58.392) Prec@5 81.250 (80.271) Epoch: [32][8310/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7811 (1.8382) Prec@1 57.031 (58.395) Prec@5 84.375 (80.273) Epoch: [32][8320/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8715 (1.8382) Prec@1 55.469 (58.394) Prec@5 81.250 (80.272) Epoch: [32][8330/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5221 (1.8382) Prec@1 69.531 (58.396) Prec@5 86.719 (80.273) Epoch: [32][8340/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8308 (1.8382) Prec@1 58.594 (58.394) Prec@5 77.344 (80.272) Epoch: [32][8350/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5317 (1.8381) Prec@1 60.938 (58.394) Prec@5 83.594 (80.273) Epoch: [32][8360/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7425 (1.8381) Prec@1 60.938 (58.394) Prec@5 82.812 (80.273) Epoch: [32][8370/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.8642 (1.8381) Prec@1 62.500 (58.397) Prec@5 77.344 (80.273) Epoch: [32][8380/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9908 (1.8382) Prec@1 56.250 (58.396) Prec@5 75.781 (80.272) Epoch: [32][8390/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7103 (1.8382) Prec@1 60.938 (58.396) Prec@5 79.688 (80.270) Epoch: [32][8400/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6724 (1.8382) Prec@1 64.062 (58.399) Prec@5 82.812 (80.270) Epoch: [32][8410/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6451 (1.8382) Prec@1 61.719 (58.399) Prec@5 80.469 (80.271) Epoch: [32][8420/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6958 (1.8381) Prec@1 63.281 (58.401) Prec@5 81.250 (80.272) Epoch: [32][8430/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9837 (1.8381) Prec@1 52.344 (58.400) Prec@5 78.125 (80.272) Epoch: [32][8440/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9282 (1.8382) Prec@1 60.156 (58.399) Prec@5 78.906 (80.270) Epoch: [32][8450/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9637 (1.8381) Prec@1 54.688 (58.401) Prec@5 78.906 (80.271) Epoch: [32][8460/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8737 (1.8381) Prec@1 59.375 (58.401) Prec@5 75.781 (80.272) Epoch: [32][8470/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9085 (1.8381) Prec@1 57.031 (58.401) Prec@5 77.344 (80.271) Epoch: [32][8480/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8163 (1.8381) Prec@1 60.938 (58.400) Prec@5 80.469 (80.272) Epoch: [32][8490/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9690 (1.8381) Prec@1 57.812 (58.401) Prec@5 82.812 (80.272) Epoch: [32][8500/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9344 (1.8381) Prec@1 60.938 (58.404) Prec@5 76.562 (80.273) Epoch: [32][8510/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8393 (1.8382) Prec@1 60.156 (58.402) Prec@5 81.250 (80.271) Epoch: [32][8520/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6094 (1.8381) Prec@1 61.719 (58.404) Prec@5 82.812 (80.273) Epoch: [32][8530/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8408 (1.8381) Prec@1 57.031 (58.402) Prec@5 79.688 (80.272) Epoch: [32][8540/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.1523 (1.8380) Prec@1 57.031 (58.404) Prec@5 75.000 (80.273) Epoch: [32][8550/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.0763 (1.8380) Prec@1 51.562 (58.405) Prec@5 75.781 (80.273) Epoch: [32][8560/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7752 (1.8379) Prec@1 57.031 (58.406) Prec@5 81.250 (80.276) Epoch: [32][8570/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8207 (1.8379) Prec@1 63.281 (58.406) Prec@5 82.812 (80.275) Epoch: [32][8580/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9038 (1.8379) Prec@1 57.031 (58.405) Prec@5 82.031 (80.276) Epoch: [32][8590/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1189 (1.8380) Prec@1 50.781 (58.403) Prec@5 75.000 (80.275) Epoch: [32][8600/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6988 (1.8379) Prec@1 58.594 (58.404) Prec@5 84.375 (80.277) Epoch: [32][8610/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8096 (1.8379) Prec@1 59.375 (58.405) Prec@5 83.594 (80.276) Epoch: [32][8620/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7960 (1.8380) Prec@1 58.594 (58.406) Prec@5 78.906 (80.274) Epoch: [32][8630/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8197 (1.8379) Prec@1 60.938 (58.407) Prec@5 82.031 (80.276) Epoch: [32][8640/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5614 (1.8379) Prec@1 62.500 (58.408) Prec@5 83.594 (80.276) Epoch: [32][8650/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7924 (1.8379) Prec@1 60.938 (58.406) Prec@5 78.125 (80.276) Epoch: [32][8660/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1107 (1.8378) Prec@1 57.812 (58.409) Prec@5 78.906 (80.276) Epoch: [32][8670/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8274 (1.8379) Prec@1 55.469 (58.408) Prec@5 82.812 (80.276) Epoch: [32][8680/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9276 (1.8378) Prec@1 57.031 (58.410) Prec@5 77.344 (80.277) Epoch: [32][8690/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9174 (1.8378) Prec@1 54.688 (58.410) Prec@5 77.344 (80.279) Epoch: [32][8700/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5088 (1.8378) Prec@1 61.719 (58.408) Prec@5 86.719 (80.278) Epoch: [32][8710/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9115 (1.8378) Prec@1 61.719 (58.407) Prec@5 82.812 (80.278) Epoch: [32][8720/10010] Time 0.336 (0.331) Data 0.003 (0.001) Loss 1.7071 (1.8379) Prec@1 60.938 (58.404) Prec@5 82.812 (80.277) Epoch: [32][8730/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6836 (1.8378) Prec@1 60.156 (58.405) Prec@5 82.031 (80.277) Epoch: [32][8740/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6495 (1.8378) Prec@1 70.312 (58.407) Prec@5 83.594 (80.277) Epoch: [32][8750/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7798 (1.8380) Prec@1 60.156 (58.404) Prec@5 82.812 (80.273) Epoch: [32][8760/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.0161 (1.8381) Prec@1 55.469 (58.402) Prec@5 79.688 (80.272) Epoch: [32][8770/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0618 (1.8380) Prec@1 53.906 (58.403) Prec@5 72.656 (80.272) Epoch: [32][8780/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7403 (1.8380) Prec@1 57.812 (58.403) Prec@5 77.344 (80.271) Epoch: [32][8790/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5033 (1.8379) Prec@1 64.062 (58.403) Prec@5 85.938 (80.273) Epoch: [32][8800/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0260 (1.8380) Prec@1 57.031 (58.402) Prec@5 75.781 (80.270) Epoch: [32][8810/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9079 (1.8380) Prec@1 66.406 (58.405) Prec@5 82.812 (80.274) Epoch: [32][8820/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6857 (1.8379) Prec@1 60.938 (58.408) Prec@5 79.688 (80.274) Epoch: [32][8830/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9316 (1.8378) Prec@1 60.156 (58.409) Prec@5 80.469 (80.275) Epoch: [32][8840/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0393 (1.8378) Prec@1 58.594 (58.409) Prec@5 78.906 (80.276) Epoch: [32][8850/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9516 (1.8379) Prec@1 60.156 (58.409) Prec@5 75.000 (80.276) Epoch: [32][8860/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6003 (1.8379) Prec@1 64.844 (58.410) Prec@5 84.375 (80.278) Epoch: [32][8870/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6645 (1.8378) Prec@1 61.719 (58.411) Prec@5 81.250 (80.278) Epoch: [32][8880/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8696 (1.8380) Prec@1 55.469 (58.410) Prec@5 79.688 (80.276) Epoch: [32][8890/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1421 (1.8380) Prec@1 56.250 (58.409) Prec@5 74.219 (80.275) Epoch: [32][8900/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.4388 (1.8379) Prec@1 67.188 (58.409) Prec@5 86.719 (80.277) Epoch: [32][8910/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8171 (1.8380) Prec@1 61.719 (58.408) Prec@5 82.031 (80.276) Epoch: [32][8920/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8231 (1.8380) Prec@1 59.375 (58.408) Prec@5 79.688 (80.275) Epoch: [32][8930/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9416 (1.8381) Prec@1 59.375 (58.408) Prec@5 80.469 (80.274) Epoch: [32][8940/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.0232 (1.8382) Prec@1 56.250 (58.408) Prec@5 74.219 (80.271) Epoch: [32][8950/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8337 (1.8383) Prec@1 54.688 (58.406) Prec@5 80.469 (80.271) Epoch: [32][8960/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7464 (1.8381) Prec@1 61.719 (58.408) Prec@5 78.906 (80.273) Epoch: [32][8970/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9676 (1.8382) Prec@1 51.562 (58.405) Prec@5 79.688 (80.271) Epoch: [32][8980/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9217 (1.8382) Prec@1 59.375 (58.409) Prec@5 80.469 (80.272) Epoch: [32][8990/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9022 (1.8381) Prec@1 50.000 (58.411) Prec@5 77.344 (80.273) Epoch: [32][9000/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8340 (1.8380) Prec@1 59.375 (58.410) Prec@5 76.562 (80.274) Epoch: [32][9010/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0995 (1.8382) Prec@1 57.031 (58.408) Prec@5 75.781 (80.272) Epoch: [32][9020/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6010 (1.8382) Prec@1 60.938 (58.409) Prec@5 88.281 (80.272) Epoch: [32][9030/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9733 (1.8382) Prec@1 53.125 (58.408) Prec@5 76.562 (80.271) Epoch: [32][9040/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8769 (1.8381) Prec@1 51.562 (58.407) Prec@5 82.031 (80.273) Epoch: [32][9050/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9970 (1.8381) Prec@1 59.375 (58.410) Prec@5 77.344 (80.273) Epoch: [32][9060/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8915 (1.8380) Prec@1 57.031 (58.410) Prec@5 77.344 (80.273) Epoch: [32][9070/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.1033 (1.8381) Prec@1 51.562 (58.408) Prec@5 75.781 (80.271) Epoch: [32][9080/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9939 (1.8381) Prec@1 53.125 (58.407) Prec@5 78.125 (80.271) Epoch: [32][9090/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.0353 (1.8381) Prec@1 57.812 (58.406) Prec@5 78.906 (80.270) Epoch: [32][9100/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6990 (1.8382) Prec@1 63.281 (58.406) Prec@5 80.469 (80.268) Epoch: [32][9110/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8394 (1.8382) Prec@1 56.250 (58.406) Prec@5 82.031 (80.268) Epoch: [32][9120/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.6493 (1.8382) Prec@1 67.188 (58.405) Prec@5 85.938 (80.268) Epoch: [32][9130/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9233 (1.8382) Prec@1 57.812 (58.406) Prec@5 78.906 (80.268) Epoch: [32][9140/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9105 (1.8382) Prec@1 60.156 (58.407) Prec@5 77.344 (80.269) Epoch: [32][9150/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7626 (1.8382) Prec@1 61.719 (58.406) Prec@5 82.812 (80.269) Epoch: [32][9160/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7833 (1.8382) Prec@1 56.250 (58.405) Prec@5 81.250 (80.268) Epoch: [32][9170/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.7279 (1.8383) Prec@1 62.500 (58.403) Prec@5 85.156 (80.267) Epoch: [32][9180/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8629 (1.8383) Prec@1 58.594 (58.402) Prec@5 81.250 (80.267) Epoch: [32][9190/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6567 (1.8382) Prec@1 65.625 (58.403) Prec@5 82.812 (80.268) Epoch: [32][9200/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6535 (1.8382) Prec@1 57.812 (58.403) Prec@5 85.938 (80.271) Epoch: [32][9210/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0048 (1.8383) Prec@1 50.000 (58.403) Prec@5 74.219 (80.270) Epoch: [32][9220/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7152 (1.8383) Prec@1 58.594 (58.401) Prec@5 82.812 (80.269) Epoch: [32][9230/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8440 (1.8383) Prec@1 62.500 (58.400) Prec@5 79.688 (80.268) Epoch: [32][9240/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.2350 (1.8384) Prec@1 53.125 (58.400) Prec@5 75.781 (80.268) Epoch: [32][9250/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7823 (1.8384) Prec@1 55.469 (58.400) Prec@5 82.812 (80.267) Epoch: [32][9260/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9498 (1.8384) Prec@1 56.250 (58.399) Prec@5 73.438 (80.267) Epoch: [32][9270/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6636 (1.8383) Prec@1 64.844 (58.402) Prec@5 83.594 (80.270) Epoch: [32][9280/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0111 (1.8382) Prec@1 59.375 (58.404) Prec@5 79.688 (80.274) Epoch: [32][9290/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7091 (1.8381) Prec@1 57.812 (58.406) Prec@5 82.031 (80.275) Epoch: [32][9300/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8381 (1.8380) Prec@1 60.156 (58.406) Prec@5 80.469 (80.276) Epoch: [32][9310/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.5792 (1.8380) Prec@1 65.625 (58.406) Prec@5 85.156 (80.277) Epoch: [32][9320/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0434 (1.8380) Prec@1 58.594 (58.406) Prec@5 78.125 (80.276) Epoch: [32][9330/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9456 (1.8380) Prec@1 57.812 (58.405) Prec@5 79.688 (80.276) Epoch: [32][9340/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8493 (1.8380) Prec@1 60.156 (58.406) Prec@5 79.688 (80.277) Epoch: [32][9350/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7224 (1.8380) Prec@1 62.500 (58.407) Prec@5 82.812 (80.277) Epoch: [32][9360/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6775 (1.8380) Prec@1 62.500 (58.405) Prec@5 82.031 (80.277) Epoch: [32][9370/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9742 (1.8380) Prec@1 60.938 (58.405) Prec@5 78.906 (80.278) Epoch: [32][9380/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7290 (1.8380) Prec@1 61.719 (58.408) Prec@5 80.469 (80.277) Epoch: [32][9390/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8344 (1.8380) Prec@1 61.719 (58.409) Prec@5 79.688 (80.277) Epoch: [32][9400/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9088 (1.8382) Prec@1 60.938 (58.406) Prec@5 81.250 (80.274) Epoch: [32][9410/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8607 (1.8382) Prec@1 55.469 (58.405) Prec@5 80.469 (80.273) Epoch: [32][9420/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9082 (1.8383) Prec@1 54.688 (58.403) Prec@5 82.812 (80.272) Epoch: [32][9430/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8716 (1.8384) Prec@1 59.375 (58.401) Prec@5 79.688 (80.271) Epoch: [32][9440/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7365 (1.8384) Prec@1 63.281 (58.399) Prec@5 81.250 (80.270) Epoch: [32][9450/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8184 (1.8385) Prec@1 55.469 (58.397) Prec@5 84.375 (80.269) Epoch: [32][9460/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.8200 (1.8385) Prec@1 57.812 (58.396) Prec@5 83.594 (80.268) Epoch: [32][9470/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0960 (1.8386) Prec@1 49.219 (58.395) Prec@5 83.594 (80.267) Epoch: [32][9480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7214 (1.8384) Prec@1 62.500 (58.397) Prec@5 81.250 (80.268) Epoch: [32][9490/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8254 (1.8384) Prec@1 53.125 (58.397) Prec@5 84.375 (80.268) Epoch: [32][9500/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8577 (1.8384) Prec@1 56.250 (58.396) Prec@5 79.688 (80.268) Epoch: [32][9510/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7663 (1.8385) Prec@1 57.812 (58.395) Prec@5 84.375 (80.268) Epoch: [32][9520/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7930 (1.8386) Prec@1 60.938 (58.394) Prec@5 78.906 (80.269) Epoch: [32][9530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9675 (1.8386) Prec@1 61.719 (58.392) Prec@5 77.344 (80.268) Epoch: [32][9540/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 1.8696 (1.8386) Prec@1 55.469 (58.393) Prec@5 78.906 (80.267) Epoch: [32][9550/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9524 (1.8386) Prec@1 56.250 (58.392) Prec@5 75.000 (80.267) Epoch: [32][9560/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7219 (1.8386) Prec@1 61.719 (58.393) Prec@5 80.469 (80.266) Epoch: [32][9570/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1854 (1.8386) Prec@1 53.125 (58.394) Prec@5 73.438 (80.267) Epoch: [32][9580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5752 (1.8386) Prec@1 65.625 (58.393) Prec@5 87.500 (80.267) Epoch: [32][9590/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7021 (1.8387) Prec@1 57.812 (58.393) Prec@5 85.156 (80.267) Epoch: [32][9600/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6643 (1.8387) Prec@1 53.906 (58.392) Prec@5 82.812 (80.267) Epoch: [32][9610/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0830 (1.8386) Prec@1 57.812 (58.395) Prec@5 77.344 (80.269) Epoch: [32][9620/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9004 (1.8386) Prec@1 55.469 (58.393) Prec@5 82.812 (80.270) Epoch: [32][9630/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8823 (1.8385) Prec@1 58.594 (58.395) Prec@5 76.562 (80.272) Epoch: [32][9640/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8169 (1.8385) Prec@1 60.156 (58.396) Prec@5 78.906 (80.272) Epoch: [32][9650/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8404 (1.8385) Prec@1 63.281 (58.396) Prec@5 82.031 (80.271) Epoch: [32][9660/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9095 (1.8386) Prec@1 59.375 (58.394) Prec@5 83.594 (80.270) Epoch: [32][9670/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.5873 (1.8387) Prec@1 60.938 (58.391) Prec@5 87.500 (80.270) Epoch: [32][9680/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8514 (1.8387) Prec@1 55.469 (58.391) Prec@5 79.688 (80.269) Epoch: [32][9690/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0959 (1.8388) Prec@1 57.812 (58.391) Prec@5 76.562 (80.268) Epoch: [32][9700/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7883 (1.8388) Prec@1 62.500 (58.390) Prec@5 78.906 (80.269) Epoch: [32][9710/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5205 (1.8387) Prec@1 68.750 (58.392) Prec@5 83.594 (80.268) Epoch: [32][9720/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.4053 (1.8387) Prec@1 61.719 (58.394) Prec@5 89.844 (80.270) Epoch: [32][9730/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.5839 (1.8387) Prec@1 62.500 (58.393) Prec@5 83.594 (80.271) Epoch: [32][9740/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7451 (1.8387) Prec@1 55.469 (58.391) Prec@5 78.906 (80.272) Epoch: [32][9750/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.2144 (1.8388) Prec@1 56.250 (58.392) Prec@5 75.781 (80.270) Epoch: [32][9760/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7955 (1.8388) Prec@1 60.156 (58.390) Prec@5 77.344 (80.269) Epoch: [32][9770/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9593 (1.8388) Prec@1 49.219 (58.389) Prec@5 79.688 (80.269) Epoch: [32][9780/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8880 (1.8388) Prec@1 57.031 (58.389) Prec@5 80.469 (80.269) Epoch: [32][9790/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.1614 (1.8388) Prec@1 56.250 (58.391) Prec@5 76.562 (80.270) Epoch: [32][9800/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1024 (1.8389) Prec@1 57.812 (58.387) Prec@5 73.438 (80.268) Epoch: [32][9810/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7522 (1.8389) Prec@1 59.375 (58.389) Prec@5 80.469 (80.268) Epoch: [32][9820/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9158 (1.8390) Prec@1 60.156 (58.387) Prec@5 77.344 (80.266) Epoch: [32][9830/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7742 (1.8389) Prec@1 60.938 (58.389) Prec@5 82.812 (80.267) Epoch: [32][9840/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.3267 (1.8390) Prec@1 51.562 (58.387) Prec@5 68.750 (80.265) Epoch: [32][9850/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1114 (1.8390) Prec@1 54.688 (58.387) Prec@5 76.562 (80.266) Epoch: [32][9860/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.5974 (1.8389) Prec@1 61.719 (58.388) Prec@5 81.250 (80.267) Epoch: [32][9870/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9703 (1.8390) Prec@1 54.688 (58.387) Prec@5 77.344 (80.266) Epoch: [32][9880/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9036 (1.8388) Prec@1 59.375 (58.390) Prec@5 78.906 (80.268) Epoch: [32][9890/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7644 (1.8388) Prec@1 60.938 (58.390) Prec@5 79.688 (80.268) Epoch: [32][9900/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8751 (1.8389) Prec@1 51.562 (58.389) Prec@5 82.031 (80.268) Epoch: [32][9910/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5666 (1.8388) Prec@1 58.594 (58.390) Prec@5 83.594 (80.268) Epoch: [32][9920/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9410 (1.8387) Prec@1 55.469 (58.391) Prec@5 77.344 (80.269) Epoch: [32][9930/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.2690 (1.8387) Prec@1 51.562 (58.391) Prec@5 75.781 (80.269) Epoch: [32][9940/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.3003 (1.8388) Prec@1 53.125 (58.391) Prec@5 71.094 (80.269) Epoch: [32][9950/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8427 (1.8388) Prec@1 58.594 (58.390) Prec@5 75.781 (80.267) Epoch: [32][9960/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7441 (1.8388) Prec@1 58.594 (58.389) Prec@5 82.031 (80.267) Epoch: [32][9970/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1833 (1.8389) Prec@1 52.344 (58.388) Prec@5 73.438 (80.265) Epoch: [32][9980/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3952 (1.8389) Prec@1 46.875 (58.389) Prec@5 71.875 (80.264) Epoch: [32][9990/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7003 (1.8389) Prec@1 62.500 (58.388) Prec@5 79.688 (80.264) Epoch: [32][10000/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8191 (1.8388) Prec@1 58.594 (58.391) Prec@5 81.250 (80.265) Test: [0/391] Time 1.573 (1.573) Loss 0.8733 (0.8733) Prec@1 78.906 (78.906) Prec@5 92.969 (92.969) Test: [10/391] Time 0.104 (0.237) Loss 1.2924 (0.8489) Prec@1 70.312 (80.185) Prec@5 89.062 (93.395) Test: [20/391] Time 0.105 (0.182) Loss 1.0665 (1.1324) Prec@1 76.562 (72.507) Prec@5 90.625 (89.955) Test: [30/391] Time 0.109 (0.157) Loss 1.8472 (1.2954) Prec@1 60.938 (68.372) Prec@5 87.500 (88.558) Test: [40/391] Time 0.109 (0.145) Loss 1.2904 (1.1817) Prec@1 68.750 (70.941) Prec@5 89.844 (89.615) Test: [50/391] Time 0.112 (0.138) Loss 0.7069 (1.2185) Prec@1 79.688 (70.282) Prec@5 94.531 (89.078) Test: [60/391] Time 0.107 (0.133) Loss 1.3069 (1.1494) Prec@1 64.844 (71.965) Prec@5 89.062 (89.754) Test: [70/391] Time 0.110 (0.130) Loss 1.2618 (1.1738) Prec@1 60.156 (70.863) Prec@5 92.188 (89.877) Test: [80/391] Time 0.104 (0.127) Loss 1.1026 (1.1909) Prec@1 71.094 (69.956) Prec@5 92.188 (89.882) Test: [90/391] Time 0.102 (0.125) Loss 1.2741 (1.1900) Prec@1 51.562 (69.883) Prec@5 91.406 (89.955) Test: [100/391] Time 0.103 (0.123) Loss 1.0338 (1.1809) Prec@1 70.312 (69.539) Prec@5 93.750 (90.292) Test: [110/391] Time 0.112 (0.121) Loss 1.3509 (1.1788) Prec@1 53.125 (69.390) Prec@5 91.406 (90.449) Test: [120/391] Time 0.107 (0.121) Loss 1.0032 (1.1752) Prec@1 72.656 (69.615) Prec@5 94.531 (90.599) Test: [130/391] Time 0.101 (0.119) Loss 0.8094 (1.1661) Prec@1 82.812 (70.044) Prec@5 92.188 (90.685) Test: [140/391] Time 0.101 (0.118) Loss 1.4666 (1.1649) Prec@1 59.375 (69.980) Prec@5 88.281 (90.675) Test: [150/391] Time 0.107 (0.117) Loss 1.1111 (1.1684) Prec@1 60.938 (69.873) Prec@5 93.750 (90.578) Test: [160/391] Time 0.105 (0.117) Loss 1.2167 (1.1796) Prec@1 67.969 (69.788) Prec@5 89.062 (90.411) Test: [170/391] Time 0.102 (0.116) Loss 2.0730 (1.2189) Prec@1 44.531 (69.033) Prec@5 82.031 (89.889) Test: [180/391] Time 0.110 (0.116) Loss 2.0264 (1.2538) Prec@1 60.938 (68.323) Prec@5 84.375 (89.416) Test: [190/391] Time 0.109 (0.115) Loss 2.2869 (1.2890) Prec@1 50.781 (67.682) Prec@5 81.250 (88.891) Test: [200/391] Time 0.110 (0.115) Loss 1.9061 (1.3271) Prec@1 54.688 (66.888) Prec@5 81.250 (88.347) Test: [210/391] Time 0.104 (0.115) Loss 1.6742 (1.3490) Prec@1 64.844 (66.465) Prec@5 83.594 (88.059) Test: [220/391] Time 0.104 (0.114) Loss 0.9222 (1.3577) Prec@1 78.906 (66.431) Prec@5 92.188 (87.868) Test: [230/391] Time 0.098 (0.114) Loss 2.4860 (1.3708) Prec@1 46.094 (66.268) Prec@5 71.875 (87.656) Test: [240/391] Time 0.109 (0.113) Loss 1.6752 (1.3797) Prec@1 63.281 (66.179) Prec@5 85.938 (87.497) Test: [250/391] Time 0.105 (0.113) Loss 1.1606 (1.4052) Prec@1 75.000 (65.637) Prec@5 86.719 (87.145) Test: [260/391] Time 0.106 (0.113) Loss 1.8307 (1.4240) Prec@1 53.125 (65.266) Prec@5 82.031 (86.919) Test: [270/391] Time 0.100 (0.112) Loss 2.2685 (1.4351) Prec@1 45.312 (65.014) Prec@5 82.031 (86.765) Test: [280/391] Time 0.120 (0.112) Loss 1.6051 (1.4454) Prec@1 60.156 (64.833) Prec@5 87.500 (86.660) Test: [290/391] Time 0.109 (0.112) Loss 2.1290 (1.4607) Prec@1 38.281 (64.578) Prec@5 82.031 (86.405) Test: [300/391] Time 0.097 (0.112) Loss 1.5677 (1.4744) Prec@1 70.312 (64.364) Prec@5 85.938 (86.181) Test: [310/391] Time 0.112 (0.112) Loss 2.1099 (1.4881) Prec@1 58.594 (64.148) Prec@5 76.562 (85.980) Test: [320/391] Time 0.102 (0.112) Loss 0.9870 (1.4966) Prec@1 82.031 (63.994) Prec@5 92.969 (85.867) Test: [330/391] Time 0.104 (0.112) Loss 2.1980 (1.5181) Prec@1 53.906 (63.550) Prec@5 75.000 (85.553) Test: [340/391] Time 0.108 (0.111) Loss 1.4481 (1.5245) Prec@1 57.031 (63.325) Prec@5 90.625 (85.468) Test: [350/391] Time 0.102 (0.111) Loss 1.5047 (1.5319) Prec@1 67.188 (63.270) Prec@5 90.625 (85.372) Test: [360/391] Time 0.111 (0.111) Loss 1.5432 (1.5389) Prec@1 58.594 (63.128) Prec@5 88.281 (85.325) Test: [370/391] Time 0.106 (0.111) Loss 1.2064 (1.5334) Prec@1 66.406 (63.189) Prec@5 93.750 (85.386) Test: [380/391] Time 0.102 (0.111) Loss 1.0415 (1.5349) Prec@1 76.562 (63.181) Prec@5 92.188 (85.367) Test: [390/391] Time 0.071 (0.110) Loss 2.0800 (1.5260) Prec@1 46.250 (63.394) Prec@5 77.500 (85.472) * Prec@1 63.394 Prec@5 85.472 Epoch: [33][0/10010] Time 2.685 (2.685) Data 2.512 (2.512) Loss 1.8023 (1.8023) Prec@1 58.594 (58.594) Prec@5 81.250 (81.250) Epoch: [33][10/10010] Time 0.325 (0.537) Data 0.000 (0.229) Loss 2.0143 (1.8066) Prec@1 54.688 (58.239) Prec@5 73.438 (80.611) Epoch: [33][20/10010] Time 0.327 (0.435) Data 0.000 (0.120) Loss 1.8021 (1.7849) Prec@1 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Time 0.343 (0.339) Data 0.000 (0.010) Loss 1.7927 (1.8131) Prec@1 59.375 (59.004) Prec@5 83.594 (80.897) Epoch: [33][270/10010] Time 0.345 (0.339) Data 0.000 (0.010) Loss 1.7139 (1.8157) Prec@1 63.281 (58.963) Prec@5 84.375 (80.835) Epoch: [33][280/10010] Time 0.319 (0.338) Data 0.001 (0.010) Loss 1.7271 (1.8140) Prec@1 57.812 (58.991) Prec@5 78.125 (80.836) Epoch: [33][290/10010] Time 0.338 (0.338) Data 0.000 (0.009) Loss 1.7164 (1.8117) Prec@1 62.500 (59.080) Prec@5 78.906 (80.831) Epoch: [33][300/10010] Time 0.325 (0.338) Data 0.001 (0.009) Loss 1.7937 (1.8143) Prec@1 60.156 (58.968) Prec@5 78.906 (80.796) Epoch: [33][310/10010] Time 0.332 (0.337) Data 0.000 (0.009) Loss 1.4653 (1.8144) Prec@1 62.500 (58.971) Prec@5 86.719 (80.755) Epoch: [33][320/10010] Time 0.324 (0.337) Data 0.001 (0.008) Loss 1.8047 (1.8169) Prec@1 61.719 (58.905) Prec@5 80.469 (80.685) Epoch: [33][330/10010] Time 0.322 (0.337) Data 0.001 (0.008) Loss 1.9166 (1.8157) Prec@1 60.156 (58.941) Prec@5 78.906 (80.700) Epoch: [33][340/10010] Time 0.345 (0.337) Data 0.000 (0.008) Loss 1.8852 (1.8180) Prec@1 55.469 (58.912) Prec@5 81.250 (80.700) Epoch: [33][350/10010] Time 0.325 (0.337) Data 0.001 (0.008) Loss 1.9231 (1.8185) Prec@1 58.594 (58.932) Prec@5 77.344 (80.685) Epoch: [33][360/10010] Time 0.346 (0.337) Data 0.000 (0.008) Loss 1.8735 (1.8176) Prec@1 52.344 (58.918) Prec@5 83.594 (80.700) Epoch: [33][370/10010] Time 0.338 (0.337) Data 0.000 (0.007) Loss 1.7684 (1.8168) Prec@1 60.938 (58.912) Prec@5 83.594 (80.694) Epoch: [33][380/10010] Time 0.338 (0.337) Data 0.000 (0.007) Loss 1.7668 (1.8174) Prec@1 62.500 (58.934) Prec@5 80.469 (80.707) Epoch: [33][390/10010] Time 0.342 (0.337) Data 0.001 (0.007) Loss 2.1692 (1.8183) Prec@1 51.562 (58.945) Prec@5 75.781 (80.689) Epoch: [33][400/10010] Time 0.325 (0.337) Data 0.000 (0.007) Loss 1.7874 (1.8177) Prec@1 57.031 (58.941) Prec@5 81.250 (80.689) Epoch: [33][410/10010] Time 0.323 (0.336) Data 0.000 (0.007) Loss 1.8999 (1.8185) Prec@1 54.688 (58.947) Prec@5 82.812 (80.685) Epoch: [33][420/10010] Time 0.328 (0.336) Data 0.000 (0.007) Loss 1.5080 (1.8148) Prec@1 62.500 (58.995) Prec@5 83.594 (80.738) Epoch: [33][430/10010] Time 0.333 (0.336) Data 0.001 (0.006) Loss 1.7126 (1.8164) Prec@1 60.938 (58.960) Prec@5 83.594 (80.730) Epoch: [33][440/10010] Time 0.317 (0.336) Data 0.000 (0.006) Loss 1.8084 (1.8172) Prec@1 55.469 (58.909) Prec@5 84.375 (80.724) Epoch: [33][450/10010] Time 0.327 (0.336) Data 0.001 (0.006) Loss 1.8103 (1.8177) Prec@1 61.719 (58.923) Prec@5 78.906 (80.703) Epoch: [33][460/10010] Time 0.322 (0.336) Data 0.000 (0.006) Loss 1.8472 (1.8193) Prec@1 58.594 (58.878) Prec@5 78.906 (80.657) Epoch: [33][470/10010] Time 0.319 (0.336) Data 0.001 (0.006) Loss 1.5153 (1.8164) Prec@1 66.406 (58.934) Prec@5 86.719 (80.699) Epoch: [33][480/10010] Time 0.324 (0.335) Data 0.000 (0.006) Loss 1.5527 (1.8135) Prec@1 59.375 (58.961) Prec@5 82.031 (80.753) Epoch: [33][490/10010] Time 0.338 (0.335) Data 0.001 (0.006) Loss 1.9808 (1.8134) 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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: [33][800/10010] Time 0.329 (0.333) Data 0.001 (0.004) Loss 1.5288 (1.8110) Prec@1 62.500 (58.960) Prec@5 87.500 (80.723) Epoch: [33][810/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 1.5440 (1.8098) Prec@1 65.625 (58.983) Prec@5 86.719 (80.745) Epoch: [33][820/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 1.7808 (1.8097) Prec@1 60.938 (58.981) Prec@5 79.688 (80.743) Epoch: [33][830/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 2.0006 (1.8102) Prec@1 59.375 (58.983) Prec@5 77.344 (80.729) Epoch: [33][840/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 1.8005 (1.8101) Prec@1 60.156 (58.995) Prec@5 75.781 (80.724) Epoch: [33][850/10010] Time 0.343 (0.333) Data 0.001 (0.004) Loss 2.1079 (1.8106) Prec@1 50.781 (58.962) Prec@5 78.125 (80.726) Epoch: [33][860/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 1.6607 (1.8099) Prec@1 59.375 (58.973) Prec@5 81.250 (80.733) Epoch: [33][870/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 2.0224 (1.8094) Prec@1 49.219 (58.977) Prec@5 77.344 (80.735) Epoch: [33][880/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.7821 (1.8094) Prec@1 56.250 (58.957) Prec@5 82.031 (80.747) Epoch: [33][890/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 1.8789 (1.8100) Prec@1 52.344 (58.926) Prec@5 78.906 (80.732) Epoch: [33][900/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.2284 (1.8102) Prec@1 53.125 (58.923) Prec@5 74.219 (80.731) Epoch: [33][910/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 1.9424 (1.8094) Prec@1 54.688 (58.920) Prec@5 80.469 (80.736) Epoch: [33][920/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 1.9459 (1.8101) Prec@1 56.250 (58.917) Prec@5 75.781 (80.716) Epoch: [33][930/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 1.6749 (1.8101) Prec@1 61.719 (58.920) Prec@5 82.812 (80.715) Epoch: [33][940/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 1.8421 (1.8106) Prec@1 62.500 (58.932) Prec@5 78.906 (80.708) Epoch: [33][950/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 1.6652 (1.8104) Prec@1 65.625 (58.931) Prec@5 82.031 (80.697) Epoch: [33][960/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 1.6192 (1.8101) Prec@1 59.375 (58.938) Prec@5 82.812 (80.701) Epoch: [33][970/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 2.0438 (1.8107) Prec@1 53.906 (58.920) Prec@5 74.219 (80.675) Epoch: [33][980/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 2.1815 (1.8118) Prec@1 55.469 (58.900) Prec@5 76.562 (80.651) Epoch: [33][990/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 1.4546 (1.8116) Prec@1 64.844 (58.900) Prec@5 85.938 (80.646) Epoch: [33][1000/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 2.2842 (1.8120) Prec@1 49.219 (58.902) Prec@5 75.000 (80.640) Epoch: [33][1010/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 1.9510 (1.8125) Prec@1 56.250 (58.896) Prec@5 78.125 (80.627) Epoch: [33][1020/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.8710 (1.8122) Prec@1 57.031 (58.911) Prec@5 82.031 (80.633) Epoch: [33][1030/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 1.8515 (1.8130) Prec@1 59.375 (58.886) Prec@5 78.906 (80.620) Epoch: [33][1040/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.1866 (1.8129) Prec@1 56.250 (58.892) Prec@5 75.781 (80.620) Epoch: [33][1050/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 1.8584 (1.8136) Prec@1 59.375 (58.883) Prec@5 75.781 (80.600) Epoch: [33][1060/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.9759 (1.8138) Prec@1 52.344 (58.869) Prec@5 80.469 (80.602) Epoch: [33][1070/10010] Time 0.316 (0.333) Data 0.000 (0.003) Loss 1.8640 (1.8125) Prec@1 58.594 (58.882) Prec@5 79.688 (80.613) Epoch: [33][1080/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 1.6199 (1.8120) Prec@1 59.375 (58.894) Prec@5 82.812 (80.626) Epoch: [33][1090/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.4323 (1.8115) Prec@1 64.062 (58.908) Prec@5 86.719 (80.637) Epoch: [33][1100/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.6945 (1.8114) Prec@1 57.031 (58.910) Prec@5 85.938 (80.636) Epoch: [33][1110/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 1.7208 (1.8121) Prec@1 56.250 (58.903) Prec@5 78.125 (80.625) Epoch: [33][1120/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 1.6509 (1.8125) Prec@1 64.062 (58.892) Prec@5 80.469 (80.614) Epoch: [33][1130/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 1.9695 (1.8122) Prec@1 54.688 (58.905) Prec@5 76.562 (80.619) Epoch: [33][1140/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.7126 (1.8124) Prec@1 54.688 (58.898) Prec@5 85.156 (80.621) Epoch: [33][1150/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.9306 (1.8121) Prec@1 63.281 (58.911) Prec@5 82.812 (80.634) Epoch: [33][1160/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.9782 (1.8120) Prec@1 50.000 (58.899) Prec@5 80.469 (80.640) Epoch: [33][1170/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 1.9750 (1.8126) Prec@1 52.344 (58.897) Prec@5 82.031 (80.646) Epoch: [33][1180/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 1.7475 (1.8114) Prec@1 64.062 (58.935) Prec@5 85.938 (80.668) Epoch: [33][1190/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.1173 (1.8121) Prec@1 64.062 (58.934) Prec@5 76.562 (80.656) Epoch: [33][1200/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.9750 (1.8124) Prec@1 53.125 (58.914) Prec@5 79.688 (80.650) Epoch: [33][1210/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.7899 (1.8118) Prec@1 63.281 (58.931) Prec@5 83.594 (80.667) Epoch: [33][1220/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 1.9456 (1.8128) Prec@1 55.469 (58.909) Prec@5 78.906 (80.661) Epoch: [33][1230/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 1.7502 (1.8128) Prec@1 58.594 (58.905) Prec@5 78.125 (80.655) Epoch: [33][1240/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 1.6178 (1.8130) Prec@1 59.375 (58.897) Prec@5 82.031 (80.650) Epoch: [33][1250/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 1.5885 (1.8122) Prec@1 63.281 (58.923) Prec@5 82.812 (80.659) Epoch: [33][1260/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.0392 (1.8118) Prec@1 53.125 (58.935) Prec@5 76.562 (80.658) Epoch: [33][1270/10010] Time 0.318 (0.332) Data 0.000 (0.003) Loss 1.7309 (1.8120) Prec@1 60.156 (58.933) Prec@5 80.469 (80.654) Epoch: [33][1280/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 1.5916 (1.8116) Prec@1 64.062 (58.941) Prec@5 85.938 (80.663) Epoch: [33][1290/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 1.8379 (1.8118) Prec@1 57.812 (58.947) Prec@5 80.469 (80.657) Epoch: [33][1300/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 1.8054 (1.8115) Prec@1 57.812 (58.949) Prec@5 82.812 (80.663) Epoch: [33][1310/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.8433 (1.8122) Prec@1 59.375 (58.940) Prec@5 81.250 (80.653) Epoch: [33][1320/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.6026 (1.8119) Prec@1 64.062 (58.953) Prec@5 84.375 (80.654) Epoch: [33][1330/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8091 (1.8125) Prec@1 60.938 (58.942) Prec@5 78.906 (80.643) Epoch: [33][1340/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 1.6290 (1.8121) Prec@1 64.062 (58.939) Prec@5 85.938 (80.653) Epoch: [33][1350/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.9775 (1.8128) Prec@1 57.031 (58.934) Prec@5 79.688 (80.654) Epoch: [33][1360/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.8325 (1.8125) Prec@1 63.281 (58.944) Prec@5 78.906 (80.656) Epoch: [33][1370/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.6424 (1.8121) Prec@1 61.719 (58.960) Prec@5 83.594 (80.663) Epoch: [33][1380/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 2.1099 (1.8120) Prec@1 55.469 (58.971) Prec@5 77.344 (80.662) Epoch: [33][1390/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.5366 (1.8123) Prec@1 65.625 (58.962) Prec@5 86.719 (80.655) Epoch: [33][1400/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.4968 (1.8112) Prec@1 68.750 (58.980) Prec@5 87.500 (80.671) Epoch: [33][1410/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.0609 (1.8115) Prec@1 58.594 (58.972) Prec@5 75.781 (80.666) Epoch: [33][1420/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.5550 (1.8110) Prec@1 64.062 (58.984) Prec@5 83.594 (80.673) Epoch: [33][1430/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.5217 (1.8107) Prec@1 67.188 (58.987) Prec@5 85.156 (80.667) Epoch: [33][1440/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.8133 (1.8106) Prec@1 57.031 (58.990) Prec@5 82.031 (80.666) Epoch: [33][1450/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.7284 (1.8108) Prec@1 59.375 (58.987) Prec@5 83.594 (80.670) Epoch: [33][1460/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8328 (1.8107) Prec@1 57.031 (58.992) Prec@5 78.125 (80.669) Epoch: [33][1470/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.1630 (1.8110) Prec@1 50.000 (58.988) Prec@5 72.656 (80.666) Epoch: [33][1480/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.8610 (1.8111) Prec@1 55.469 (58.988) Prec@5 80.469 (80.663) Epoch: [33][1490/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7309 (1.8113) Prec@1 60.156 (58.985) Prec@5 85.938 (80.665) Epoch: [33][1500/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.7761 (1.8117) Prec@1 53.125 (58.973) Prec@5 82.031 (80.655) Epoch: [33][1510/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.6237 (1.8116) Prec@1 60.938 (58.968) Prec@5 85.156 (80.657) Epoch: [33][1520/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.7467 (1.8115) Prec@1 55.469 (58.965) Prec@5 82.812 (80.655) Epoch: [33][1530/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.0310 (1.8115) Prec@1 56.250 (58.962) Prec@5 82.031 (80.656) Epoch: [33][1540/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.7360 (1.8110) Prec@1 60.156 (58.974) Prec@5 81.250 (80.659) Epoch: [33][1550/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.8143 (1.8105) Prec@1 63.281 (58.993) Prec@5 79.688 (80.664) Epoch: [33][1560/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.8284 (1.8101) Prec@1 60.938 (58.998) Prec@5 81.250 (80.677) Epoch: [33][1570/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.4384 (1.8096) Prec@1 62.500 (59.001) Prec@5 87.500 (80.687) Epoch: [33][1580/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.1643 (1.8106) Prec@1 54.688 (58.993) Prec@5 75.000 (80.676) Epoch: [33][1590/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 2.2131 (1.8109) Prec@1 56.250 (58.998) Prec@5 75.000 (80.667) Epoch: [33][1600/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.6545 (1.8105) Prec@1 61.719 (59.010) Prec@5 82.812 (80.677) Epoch: [33][1610/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 1.6287 (1.8101) Prec@1 60.156 (59.012) Prec@5 83.594 (80.679) Epoch: [33][1620/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.8004 (1.8100) Prec@1 63.281 (59.024) Prec@5 78.906 (80.678) Epoch: [33][1630/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8275 (1.8103) Prec@1 59.375 (59.014) Prec@5 80.469 (80.677) Epoch: [33][1640/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.6197 (1.8101) Prec@1 56.250 (59.015) Prec@5 84.375 (80.680) Epoch: [33][1650/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.4905 (1.8101) Prec@1 64.062 (59.005) Prec@5 84.375 (80.681) Epoch: [33][1660/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.7687 (1.8101) Prec@1 54.688 (59.002) Prec@5 83.594 (80.682) Epoch: [33][1670/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.9804 (1.8106) Prec@1 62.500 (59.001) Prec@5 78.906 (80.669) Epoch: [33][1680/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8138 (1.8107) Prec@1 53.906 (58.982) Prec@5 82.812 (80.671) Epoch: [33][1690/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.5367 (1.8108) Prec@1 65.625 (58.986) Prec@5 82.812 (80.667) Epoch: [33][1700/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.5893 (1.8103) Prec@1 60.156 (58.986) Prec@5 85.156 (80.675) Epoch: [33][1710/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 1.9400 (1.8103) Prec@1 57.031 (58.978) Prec@5 82.031 (80.678) Epoch: [33][1720/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.4856 (1.8104) Prec@1 68.750 (58.974) Prec@5 86.719 (80.673) Epoch: [33][1730/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.7862 (1.8106) Prec@1 59.375 (58.973) Prec@5 81.250 (80.672) Epoch: [33][1740/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.8228 (1.8110) Prec@1 56.250 (58.963) Prec@5 78.906 (80.668) Epoch: [33][1750/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 1.8294 (1.8108) Prec@1 53.906 (58.962) Prec@5 82.031 (80.676) Epoch: [33][1760/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.5395 (1.8111) Prec@1 63.281 (58.967) Prec@5 85.938 (80.673) Epoch: [33][1770/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.6740 (1.8116) Prec@1 64.062 (58.963) Prec@5 83.594 (80.661) Epoch: [33][1780/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.5481 (1.8115) Prec@1 60.938 (58.964) Prec@5 88.281 (80.668) Epoch: [33][1790/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.0781 (1.8116) Prec@1 51.562 (58.957) Prec@5 75.781 (80.670) Epoch: [33][1800/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.0608 (1.8114) Prec@1 54.688 (58.954) Prec@5 75.781 (80.671) Epoch: [33][1810/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 1.9426 (1.8116) Prec@1 53.906 (58.951) Prec@5 77.344 (80.669) Epoch: [33][1820/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.7831 (1.8114) Prec@1 60.938 (58.942) Prec@5 79.688 (80.671) Epoch: [33][1830/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.9330 (1.8116) Prec@1 60.156 (58.940) Prec@5 77.344 (80.667) Epoch: [33][1840/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.1285 (1.8118) Prec@1 53.906 (58.945) Prec@5 75.000 (80.661) Epoch: [33][1850/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7801 (1.8120) Prec@1 59.375 (58.934) Prec@5 85.938 (80.665) Epoch: [33][1860/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.6440 (1.8116) Prec@1 64.062 (58.940) Prec@5 82.031 (80.667) Epoch: [33][1870/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.4775 (1.8119) Prec@1 64.062 (58.937) Prec@5 82.031 (80.656) Epoch: [33][1880/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.6262 (1.8122) Prec@1 61.719 (58.931) Prec@5 82.812 (80.652) Epoch: [33][1890/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 1.3799 (1.8120) Prec@1 66.406 (58.942) Prec@5 88.281 (80.658) Epoch: [33][1900/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.8172 (1.8118) Prec@1 61.719 (58.951) Prec@5 82.031 (80.659) Epoch: [33][1910/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.4882 (1.8117) Prec@1 68.750 (58.950) Prec@5 85.156 (80.659) Epoch: [33][1920/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5430 (1.8116) Prec@1 64.062 (58.949) Prec@5 82.812 (80.662) Epoch: [33][1930/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.8065 (1.8117) Prec@1 64.062 (58.946) Prec@5 79.688 (80.658) Epoch: [33][1940/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.9232 (1.8118) Prec@1 55.469 (58.945) Prec@5 77.344 (80.656) Epoch: [33][1950/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.5833 (1.8115) Prec@1 60.156 (58.947) Prec@5 80.469 (80.658) Epoch: [33][1960/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.5484 (1.8112) Prec@1 64.062 (58.952) Prec@5 86.719 (80.662) Epoch: [33][1970/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.9216 (1.8117) Prec@1 60.156 (58.943) Prec@5 79.688 (80.649) Epoch: [33][1980/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.7553 (1.8120) Prec@1 64.062 (58.934) Prec@5 81.250 (80.641) Epoch: [33][1990/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.2542 (1.8118) Prec@1 54.688 (58.936) Prec@5 75.000 (80.646) Epoch: [33][2000/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7393 (1.8116) Prec@1 57.812 (58.936) Prec@5 82.031 (80.651) Epoch: [33][2010/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.7990 (1.8118) Prec@1 61.719 (58.931) Prec@5 82.031 (80.653) Epoch: [33][2020/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 1.8548 (1.8119) Prec@1 57.031 (58.927) Prec@5 79.688 (80.651) Epoch: [33][2030/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.9781 (1.8118) Prec@1 56.250 (58.934) Prec@5 78.906 (80.659) Epoch: [33][2040/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6737 (1.8116) Prec@1 60.156 (58.940) Prec@5 83.594 (80.661) Epoch: [33][2050/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.7292 (1.8119) Prec@1 57.031 (58.926) Prec@5 82.031 (80.660) Epoch: [33][2060/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.8569 (1.8119) Prec@1 53.906 (58.924) Prec@5 79.688 (80.656) Epoch: [33][2070/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.4913 (1.8120) Prec@1 71.094 (58.924) Prec@5 87.500 (80.660) Epoch: [33][2080/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7648 (1.8125) Prec@1 58.594 (58.908) Prec@5 82.812 (80.652) Epoch: [33][2090/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.0641 (1.8127) Prec@1 53.906 (58.909) Prec@5 76.562 (80.647) Epoch: [33][2100/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8651 (1.8131) Prec@1 60.156 (58.902) Prec@5 85.938 (80.646) Epoch: [33][2110/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.1044 (1.8129) Prec@1 57.812 (58.911) Prec@5 77.344 (80.647) Epoch: [33][2120/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.6504 (1.8125) Prec@1 61.719 (58.916) Prec@5 84.375 (80.647) Epoch: [33][2130/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.7088 (1.8123) Prec@1 58.594 (58.924) Prec@5 82.031 (80.657) Epoch: [33][2140/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.9217 (1.8124) Prec@1 58.594 (58.925) Prec@5 79.688 (80.656) Epoch: [33][2150/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.0702 (1.8127) Prec@1 53.906 (58.923) Prec@5 76.562 (80.647) Epoch: [33][2160/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.0130 (1.8132) Prec@1 59.375 (58.908) Prec@5 78.906 (80.637) Epoch: [33][2170/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.7263 (1.8130) Prec@1 59.375 (58.911) Prec@5 85.156 (80.642) Epoch: [33][2180/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.7724 (1.8132) Prec@1 55.469 (58.905) Prec@5 83.594 (80.639) Epoch: [33][2190/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.7020 (1.8132) Prec@1 58.594 (58.907) Prec@5 82.812 (80.643) Epoch: [33][2200/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.7938 (1.8137) Prec@1 60.938 (58.896) Prec@5 79.688 (80.636) Epoch: [33][2210/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.9460 (1.8137) Prec@1 59.375 (58.903) Prec@5 80.469 (80.638) Epoch: [33][2220/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.7629 (1.8132) Prec@1 55.469 (58.912) Prec@5 85.156 (80.648) Epoch: [33][2230/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7919 (1.8131) Prec@1 63.281 (58.918) Prec@5 85.156 (80.653) Epoch: [33][2240/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.8995 (1.8134) Prec@1 57.812 (58.912) Prec@5 80.469 (80.648) Epoch: [33][2250/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.5763 (1.8135) Prec@1 61.719 (58.909) Prec@5 82.812 (80.645) Epoch: [33][2260/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.7050 (1.8137) Prec@1 64.844 (58.918) Prec@5 83.594 (80.643) Epoch: [33][2270/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.0631 (1.8138) Prec@1 56.250 (58.910) Prec@5 78.906 (80.639) Epoch: [33][2280/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.7950 (1.8137) Prec@1 60.938 (58.910) Prec@5 81.250 (80.643) Epoch: [33][2290/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6499 (1.8134) Prec@1 62.500 (58.915) Prec@5 82.031 (80.645) Epoch: [33][2300/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.6801 (1.8131) Prec@1 59.375 (58.922) Prec@5 85.938 (80.650) Epoch: [33][2310/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.1265 (1.8133) Prec@1 56.250 (58.919) Prec@5 76.562 (80.645) Epoch: [33][2320/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.4889 (1.8136) Prec@1 45.312 (58.912) Prec@5 73.438 (80.646) Epoch: [33][2330/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 1.8484 (1.8138) Prec@1 62.500 (58.911) Prec@5 79.688 (80.645) Epoch: [33][2340/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.9730 (1.8140) Prec@1 56.250 (58.905) Prec@5 75.781 (80.641) Epoch: [33][2350/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.9077 (1.8139) Prec@1 53.906 (58.905) Prec@5 83.594 (80.639) Epoch: [33][2360/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.6932 (1.8139) Prec@1 57.812 (58.908) Prec@5 84.375 (80.645) Epoch: [33][2370/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.5686 (1.8136) Prec@1 57.812 (58.913) Prec@5 85.156 (80.647) Epoch: [33][2380/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.6542 (1.8134) Prec@1 62.500 (58.915) Prec@5 82.031 (80.647) Epoch: [33][2390/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.8494 (1.8132) Prec@1 53.125 (58.918) Prec@5 79.688 (80.649) Epoch: [33][2400/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.9925 (1.8131) Prec@1 57.812 (58.928) Prec@5 76.562 (80.651) Epoch: [33][2410/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.7052 (1.8132) Prec@1 59.375 (58.925) Prec@5 82.812 (80.655) Epoch: [33][2420/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8893 (1.8130) Prec@1 57.812 (58.935) Prec@5 79.688 (80.659) Epoch: [33][2430/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9555 (1.8131) Prec@1 55.469 (58.936) Prec@5 77.344 (80.658) Epoch: [33][2440/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.6922 (1.8133) Prec@1 62.500 (58.932) Prec@5 84.375 (80.653) Epoch: [33][2450/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9923 (1.8138) Prec@1 57.031 (58.923) Prec@5 78.125 (80.647) Epoch: [33][2460/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.8176 (1.8140) Prec@1 58.594 (58.916) Prec@5 77.344 (80.641) Epoch: [33][2470/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.5159 (1.8141) Prec@1 65.625 (58.911) Prec@5 82.812 (80.640) Epoch: [33][2480/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 1.5438 (1.8143) Prec@1 60.938 (58.902) Prec@5 86.719 (80.637) Epoch: [33][2490/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.6975 (1.8136) Prec@1 63.281 (58.912) Prec@5 82.031 (80.647) Epoch: [33][2500/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.6248 (1.8134) Prec@1 57.812 (58.912) Prec@5 85.938 (80.650) Epoch: [33][2510/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.7643 (1.8136) Prec@1 54.688 (58.911) Prec@5 82.031 (80.647) Epoch: [33][2520/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.8495 (1.8136) Prec@1 53.906 (58.909) Prec@5 78.125 (80.645) Epoch: [33][2530/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8731 (1.8139) Prec@1 56.250 (58.898) Prec@5 78.906 (80.639) Epoch: [33][2540/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8940 (1.8137) Prec@1 54.688 (58.903) Prec@5 80.469 (80.638) Epoch: [33][2550/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.8254 (1.8133) Prec@1 58.594 (58.914) Prec@5 78.906 (80.645) Epoch: [33][2560/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.6490 (1.8134) Prec@1 60.938 (58.908) Prec@5 84.375 (80.644) Epoch: [33][2570/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.6504 (1.8137) Prec@1 56.250 (58.899) Prec@5 83.594 (80.635) Epoch: [33][2580/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.7430 (1.8136) Prec@1 60.156 (58.905) Prec@5 81.250 (80.636) Epoch: [33][2590/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.6019 (1.8137) Prec@1 61.719 (58.898) Prec@5 81.250 (80.638) Epoch: [33][2600/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.8468 (1.8136) Prec@1 56.250 (58.898) Prec@5 78.906 (80.640) Epoch: [33][2610/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.3967 (1.8135) Prec@1 64.844 (58.903) Prec@5 85.156 (80.644) Epoch: [33][2620/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8979 (1.8133) Prec@1 53.906 (58.911) Prec@5 80.469 (80.644) Epoch: [33][2630/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7337 (1.8134) Prec@1 58.594 (58.911) Prec@5 81.250 (80.640) Epoch: [33][2640/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.6365 (1.8130) Prec@1 59.375 (58.917) Prec@5 84.375 (80.644) Epoch: [33][2650/10010] Time 0.314 (0.332) Data 0.000 (0.002) Loss 1.5525 (1.8129) Prec@1 57.812 (58.917) Prec@5 85.938 (80.641) Epoch: [33][2660/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.4634 (1.8127) Prec@1 67.188 (58.922) Prec@5 87.500 (80.646) Epoch: [33][2670/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.8091 (1.8127) Prec@1 55.469 (58.923) Prec@5 81.250 (80.646) Epoch: [33][2680/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.8604 (1.8125) Prec@1 59.375 (58.929) Prec@5 82.812 (80.648) Epoch: [33][2690/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.2025 (1.8127) Prec@1 56.250 (58.925) Prec@5 70.312 (80.646) Epoch: [33][2700/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.7661 (1.8127) Prec@1 56.250 (58.923) Prec@5 84.375 (80.650) Epoch: [33][2710/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.1354 (1.8126) Prec@1 57.031 (58.919) Prec@5 75.000 (80.652) Epoch: [33][2720/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8231 (1.8127) Prec@1 60.156 (58.918) Prec@5 81.250 (80.648) Epoch: [33][2730/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.5977 (1.8124) Prec@1 60.938 (58.924) Prec@5 84.375 (80.651) Epoch: [33][2740/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8522 (1.8124) Prec@1 55.469 (58.921) Prec@5 80.469 (80.651) Epoch: [33][2750/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6333 (1.8123) Prec@1 57.812 (58.923) Prec@5 78.906 (80.650) Epoch: [33][2760/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7065 (1.8124) Prec@1 59.375 (58.918) Prec@5 80.469 (80.647) Epoch: [33][2770/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8000 (1.8124) Prec@1 60.156 (58.923) Prec@5 78.906 (80.644) Epoch: [33][2780/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8955 (1.8123) Prec@1 57.031 (58.928) Prec@5 82.812 (80.644) Epoch: [33][2790/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9712 (1.8127) Prec@1 53.906 (58.923) Prec@5 80.469 (80.640) Epoch: [33][2800/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6087 (1.8124) Prec@1 62.500 (58.932) Prec@5 83.594 (80.643) Epoch: [33][2810/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.7768 (1.8126) Prec@1 56.250 (58.928) Prec@5 78.906 (80.639) Epoch: [33][2820/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 1.9805 (1.8126) Prec@1 57.812 (58.926) Prec@5 82.812 (80.642) Epoch: [33][2830/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.0690 (1.8127) Prec@1 49.219 (58.918) Prec@5 75.000 (80.642) Epoch: [33][2840/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9326 (1.8127) Prec@1 53.906 (58.920) Prec@5 77.344 (80.642) Epoch: [33][2850/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7234 (1.8126) Prec@1 57.031 (58.921) Prec@5 82.812 (80.642) Epoch: [33][2860/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.0026 (1.8127) Prec@1 54.688 (58.913) Prec@5 78.125 (80.641) Epoch: [33][2870/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5394 (1.8125) Prec@1 61.719 (58.918) Prec@5 85.156 (80.645) Epoch: [33][2880/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.4909 (1.8124) Prec@1 64.062 (58.920) Prec@5 84.375 (80.649) Epoch: [33][2890/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.8631 (1.8126) Prec@1 53.125 (58.920) Prec@5 79.688 (80.643) Epoch: [33][2900/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8647 (1.8126) Prec@1 59.375 (58.924) Prec@5 79.688 (80.640) Epoch: [33][2910/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.1250 (1.8128) Prec@1 54.688 (58.915) Prec@5 76.562 (80.637) Epoch: [33][2920/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.0155 (1.8131) Prec@1 53.906 (58.907) Prec@5 78.125 (80.639) Epoch: [33][2930/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.9209 (1.8132) Prec@1 60.156 (58.903) Prec@5 82.031 (80.633) Epoch: [33][2940/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.0097 (1.8130) Prec@1 57.812 (58.909) Prec@5 77.344 (80.633) Epoch: [33][2950/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.2613 (1.8128) Prec@1 74.219 (58.910) Prec@5 89.844 (80.633) Epoch: [33][2960/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9174 (1.8127) Prec@1 54.688 (58.918) Prec@5 78.125 (80.638) Epoch: [33][2970/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6539 (1.8125) Prec@1 57.031 (58.914) Prec@5 83.594 (80.640) Epoch: [33][2980/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9094 (1.8124) Prec@1 64.062 (58.914) Prec@5 82.031 (80.645) Epoch: [33][2990/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6459 (1.8123) Prec@1 60.938 (58.915) Prec@5 82.031 (80.647) Epoch: [33][3000/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.4580 (1.8122) Prec@1 69.531 (58.919) Prec@5 84.375 (80.645) Epoch: [33][3010/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9851 (1.8120) Prec@1 53.906 (58.920) Prec@5 78.125 (80.648) Epoch: [33][3020/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7074 (1.8121) Prec@1 60.938 (58.919) Prec@5 83.594 (80.648) Epoch: [33][3030/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8469 (1.8122) Prec@1 63.281 (58.917) Prec@5 78.906 (80.646) Epoch: [33][3040/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.8493 (1.8124) Prec@1 63.281 (58.917) Prec@5 84.375 (80.646) Epoch: [33][3050/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9171 (1.8124) Prec@1 55.469 (58.912) Prec@5 79.688 (80.648) Epoch: [33][3060/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8887 (1.8124) Prec@1 60.938 (58.918) Prec@5 80.469 (80.649) Epoch: [33][3070/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.6064 (1.8121) Prec@1 64.062 (58.924) Prec@5 86.719 (80.653) Epoch: [33][3080/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9691 (1.8124) Prec@1 56.250 (58.915) Prec@5 83.594 (80.652) Epoch: [33][3090/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.4862 (1.8120) Prec@1 64.844 (58.918) Prec@5 84.375 (80.657) Epoch: [33][3100/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7477 (1.8119) Prec@1 60.156 (58.917) Prec@5 82.812 (80.657) Epoch: [33][3110/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.5005 (1.8120) Prec@1 67.969 (58.917) Prec@5 84.375 (80.655) Epoch: [33][3120/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8291 (1.8118) Prec@1 57.812 (58.921) Prec@5 83.594 (80.658) Epoch: [33][3130/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6850 (1.8115) Prec@1 64.062 (58.932) Prec@5 79.688 (80.662) Epoch: [33][3140/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.7041 (1.8114) Prec@1 65.625 (58.935) Prec@5 82.812 (80.662) Epoch: [33][3150/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.4924 (1.8113) Prec@1 68.750 (58.937) Prec@5 82.812 (80.661) Epoch: [33][3160/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8398 (1.8113) Prec@1 61.719 (58.938) Prec@5 83.594 (80.663) Epoch: [33][3170/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5573 (1.8115) Prec@1 59.375 (58.935) Prec@5 83.594 (80.659) Epoch: [33][3180/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8546 (1.8118) Prec@1 61.719 (58.930) Prec@5 78.906 (80.653) Epoch: [33][3190/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.7665 (1.8116) Prec@1 58.594 (58.935) Prec@5 80.469 (80.654) Epoch: [33][3200/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7839 (1.8118) Prec@1 52.344 (58.930) Prec@5 82.812 (80.650) Epoch: [33][3210/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.6808 (1.8116) Prec@1 63.281 (58.938) Prec@5 81.250 (80.653) Epoch: [33][3220/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.5974 (1.8114) Prec@1 60.938 (58.943) Prec@5 83.594 (80.657) Epoch: [33][3230/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8361 (1.8114) Prec@1 63.281 (58.941) Prec@5 77.344 (80.656) Epoch: [33][3240/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.2332 (1.8117) Prec@1 48.438 (58.937) Prec@5 72.656 (80.651) Epoch: [33][3250/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9731 (1.8119) Prec@1 57.031 (58.930) Prec@5 77.344 (80.646) Epoch: [33][3260/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6916 (1.8117) Prec@1 64.062 (58.933) Prec@5 80.469 (80.647) Epoch: [33][3270/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.0821 (1.8120) Prec@1 52.344 (58.924) Prec@5 75.781 (80.641) Epoch: [33][3280/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7627 (1.8119) Prec@1 58.594 (58.929) Prec@5 82.031 (80.642) Epoch: [33][3290/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0006 (1.8120) Prec@1 55.469 (58.929) Prec@5 79.688 (80.642) Epoch: [33][3300/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5410 (1.8121) Prec@1 61.719 (58.925) Prec@5 83.594 (80.642) Epoch: [33][3310/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5758 (1.8119) Prec@1 64.844 (58.924) Prec@5 82.812 (80.644) Epoch: [33][3320/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.0846 (1.8122) Prec@1 57.812 (58.920) Prec@5 77.344 (80.640) Epoch: [33][3330/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6568 (1.8121) Prec@1 63.281 (58.917) Prec@5 82.031 (80.640) Epoch: [33][3340/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7201 (1.8119) Prec@1 61.719 (58.920) Prec@5 81.250 (80.643) Epoch: [33][3350/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7272 (1.8118) Prec@1 58.594 (58.921) Prec@5 78.125 (80.645) Epoch: [33][3360/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7118 (1.8116) Prec@1 59.375 (58.920) Prec@5 79.688 (80.648) Epoch: [33][3370/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.7137 (1.8117) Prec@1 65.625 (58.922) Prec@5 81.250 (80.646) Epoch: [33][3380/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6514 (1.8116) Prec@1 55.469 (58.921) Prec@5 84.375 (80.648) Epoch: [33][3390/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 1.5507 (1.8116) Prec@1 62.500 (58.919) Prec@5 85.156 (80.649) Epoch: [33][3400/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8360 (1.8119) Prec@1 57.031 (58.914) Prec@5 78.906 (80.645) Epoch: [33][3410/10010] Time 0.328 (0.332) Data 0.004 (0.001) Loss 1.8542 (1.8120) Prec@1 52.344 (58.908) Prec@5 79.688 (80.645) Epoch: [33][3420/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8437 (1.8121) Prec@1 58.594 (58.904) Prec@5 78.906 (80.642) Epoch: [33][3430/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.5465 (1.8119) Prec@1 66.406 (58.910) Prec@5 82.812 (80.643) Epoch: [33][3440/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8200 (1.8119) Prec@1 64.062 (58.912) Prec@5 77.344 (80.643) Epoch: [33][3450/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.0987 (1.8121) Prec@1 51.562 (58.910) Prec@5 72.656 (80.641) Epoch: [33][3460/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7042 (1.8123) Prec@1 64.844 (58.909) Prec@5 82.031 (80.635) Epoch: [33][3470/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6521 (1.8122) Prec@1 60.938 (58.910) Prec@5 84.375 (80.633) Epoch: [33][3480/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.3620 (1.8121) Prec@1 66.406 (58.916) Prec@5 84.375 (80.634) Epoch: [33][3490/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.2460 (1.8122) Prec@1 46.875 (58.914) Prec@5 73.438 (80.633) Epoch: [33][3500/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6195 (1.8124) Prec@1 63.281 (58.913) Prec@5 79.688 (80.632) Epoch: [33][3510/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0478 (1.8129) Prec@1 59.375 (58.904) Prec@5 79.688 (80.624) Epoch: [33][3520/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7641 (1.8128) Prec@1 65.625 (58.910) Prec@5 82.812 (80.625) Epoch: [33][3530/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8548 (1.8128) Prec@1 59.375 (58.909) Prec@5 77.344 (80.625) Epoch: [33][3540/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8252 (1.8127) Prec@1 61.719 (58.910) Prec@5 81.250 (80.628) Epoch: [33][3550/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8514 (1.8127) Prec@1 57.812 (58.905) Prec@5 77.344 (80.628) Epoch: [33][3560/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6545 (1.8126) Prec@1 59.375 (58.905) Prec@5 84.375 (80.630) /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: [33][3570/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.2100 (1.8127) Prec@1 47.656 (58.902) Prec@5 73.438 (80.627) Epoch: [33][3580/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9484 (1.8127) Prec@1 57.031 (58.905) Prec@5 78.906 (80.627) /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: [33][3590/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9594 (1.8125) Prec@1 54.688 (58.904) Prec@5 74.219 (80.627) Epoch: [33][3600/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8476 (1.8124) Prec@1 49.219 (58.903) Prec@5 82.812 (80.630) Epoch: [33][3610/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.6884 (1.8122) Prec@1 60.156 (58.907) Prec@5 81.250 (80.631) Epoch: [33][3620/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8645 (1.8125) Prec@1 59.375 (58.905) Prec@5 81.250 (80.627) Epoch: [33][3630/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.1137 (1.8127) Prec@1 51.562 (58.902) Prec@5 75.781 (80.626) Epoch: [33][3640/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8790 (1.8131) Prec@1 58.594 (58.895) Prec@5 76.562 (80.619) Epoch: [33][3650/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7933 (1.8133) Prec@1 61.719 (58.889) Prec@5 79.688 (80.618) Epoch: [33][3660/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9881 (1.8133) Prec@1 47.656 (58.888) Prec@5 75.781 (80.613) Epoch: [33][3670/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8380 (1.8133) Prec@1 57.031 (58.886) Prec@5 77.344 (80.610) Epoch: [33][3680/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8331 (1.8130) Prec@1 57.812 (58.891) Prec@5 79.688 (80.614) Epoch: [33][3690/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9333 (1.8130) Prec@1 53.125 (58.891) Prec@5 78.906 (80.612) Epoch: [33][3700/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6872 (1.8131) Prec@1 60.938 (58.893) Prec@5 82.031 (80.612) Epoch: [33][3710/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0053 (1.8135) Prec@1 50.781 (58.885) Prec@5 75.781 (80.604) Epoch: [33][3720/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8356 (1.8136) Prec@1 54.688 (58.884) Prec@5 82.812 (80.601) Epoch: [33][3730/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9056 (1.8138) Prec@1 56.250 (58.881) Prec@5 78.906 (80.596) Epoch: [33][3740/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9705 (1.8139) Prec@1 57.031 (58.884) Prec@5 76.562 (80.595) Epoch: [33][3750/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.4010 (1.8140) Prec@1 62.500 (58.881) Prec@5 88.281 (80.596) Epoch: [33][3760/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9965 (1.8143) Prec@1 58.594 (58.876) Prec@5 75.000 (80.591) Epoch: [33][3770/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0290 (1.8146) Prec@1 50.781 (58.873) Prec@5 78.125 (80.586) Epoch: [33][3780/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.1624 (1.8149) Prec@1 55.469 (58.866) Prec@5 73.438 (80.581) Epoch: [33][3790/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9111 (1.8151) Prec@1 61.719 (58.866) Prec@5 78.906 (80.578) Epoch: [33][3800/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8991 (1.8150) Prec@1 60.156 (58.870) Prec@5 78.906 (80.577) Epoch: [33][3810/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7981 (1.8148) Prec@1 58.594 (58.874) Prec@5 78.906 (80.581) Epoch: [33][3820/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8196 (1.8149) Prec@1 60.938 (58.874) Prec@5 78.906 (80.581) Epoch: [33][3830/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.1216 (1.8152) Prec@1 57.031 (58.868) Prec@5 72.656 (80.572) Epoch: [33][3840/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.3785 (1.8149) Prec@1 63.281 (58.870) Prec@5 89.062 (80.577) Epoch: [33][3850/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.5693 (1.8150) Prec@1 63.281 (58.871) Prec@5 83.594 (80.579) Epoch: [33][3860/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7114 (1.8148) Prec@1 57.031 (58.871) Prec@5 81.250 (80.581) Epoch: [33][3870/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.1084 (1.8147) Prec@1 57.031 (58.872) Prec@5 75.000 (80.581) Epoch: [33][3880/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.0486 (1.8149) Prec@1 50.781 (58.868) Prec@5 80.469 (80.579) Epoch: [33][3890/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.5869 (1.8148) Prec@1 62.500 (58.869) Prec@5 83.594 (80.580) Epoch: [33][3900/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7031 (1.8147) Prec@1 62.500 (58.874) Prec@5 81.250 (80.582) Epoch: [33][3910/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.6377 (1.8146) Prec@1 60.938 (58.875) Prec@5 82.031 (80.585) Epoch: [33][3920/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8919 (1.8146) Prec@1 58.594 (58.876) Prec@5 78.906 (80.584) Epoch: [33][3930/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8545 (1.8143) Prec@1 59.375 (58.879) Prec@5 80.469 (80.587) Epoch: [33][3940/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8374 (1.8143) Prec@1 58.594 (58.878) Prec@5 78.906 (80.589) Epoch: [33][3950/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.2937 (1.8146) Prec@1 57.031 (58.874) Prec@5 74.219 (80.584) Epoch: [33][3960/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9770 (1.8146) Prec@1 53.125 (58.877) Prec@5 82.031 (80.586) Epoch: [33][3970/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.0827 (1.8144) Prec@1 53.906 (58.884) Prec@5 75.781 (80.585) Epoch: [33][3980/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0957 (1.8144) Prec@1 50.781 (58.885) Prec@5 73.438 (80.586) Epoch: [33][3990/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8570 (1.8141) Prec@1 60.156 (58.893) Prec@5 82.031 (80.590) Epoch: [33][4000/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7437 (1.8140) Prec@1 58.594 (58.890) Prec@5 82.812 (80.589) Epoch: [33][4010/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.0311 (1.8142) Prec@1 54.688 (58.886) Prec@5 74.219 (80.585) Epoch: [33][4020/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5758 (1.8143) Prec@1 62.500 (58.886) Prec@5 84.375 (80.584) Epoch: [33][4030/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7842 (1.8143) Prec@1 63.281 (58.888) Prec@5 78.125 (80.583) Epoch: [33][4040/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8707 (1.8143) Prec@1 56.250 (58.888) Prec@5 75.781 (80.582) Epoch: [33][4050/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0044 (1.8144) Prec@1 52.344 (58.885) Prec@5 79.688 (80.578) Epoch: [33][4060/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9184 (1.8145) Prec@1 57.031 (58.885) Prec@5 83.594 (80.577) Epoch: [33][4070/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.1356 (1.8144) Prec@1 50.781 (58.883) Prec@5 75.781 (80.578) Epoch: [33][4080/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.4999 (1.8142) Prec@1 64.062 (58.886) Prec@5 86.719 (80.582) Epoch: [33][4090/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8076 (1.8144) Prec@1 58.594 (58.883) Prec@5 81.250 (80.580) Epoch: [33][4100/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6577 (1.8142) Prec@1 60.156 (58.888) Prec@5 82.812 (80.583) Epoch: [33][4110/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8637 (1.8144) Prec@1 62.500 (58.887) Prec@5 79.688 (80.579) Epoch: [33][4120/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8439 (1.8143) Prec@1 58.594 (58.887) Prec@5 78.125 (80.581) Epoch: [33][4130/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8628 (1.8142) Prec@1 53.906 (58.888) Prec@5 81.250 (80.584) Epoch: [33][4140/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7648 (1.8144) Prec@1 53.906 (58.883) Prec@5 82.031 (80.583) Epoch: [33][4150/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8107 (1.8144) Prec@1 56.250 (58.882) Prec@5 82.031 (80.582) Epoch: [33][4160/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6049 (1.8145) Prec@1 64.844 (58.884) Prec@5 85.156 (80.582) Epoch: [33][4170/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8726 (1.8146) Prec@1 59.375 (58.885) Prec@5 75.781 (80.579) Epoch: [33][4180/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7160 (1.8146) Prec@1 63.281 (58.886) Prec@5 83.594 (80.579) Epoch: [33][4190/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6618 (1.8149) Prec@1 62.500 (58.882) Prec@5 82.031 (80.575) Epoch: [33][4200/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.0082 (1.8151) Prec@1 53.125 (58.878) Prec@5 76.562 (80.572) Epoch: [33][4210/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9973 (1.8150) Prec@1 53.125 (58.878) Prec@5 79.688 (80.574) Epoch: [33][4220/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.0622 (1.8153) Prec@1 54.688 (58.876) Prec@5 75.000 (80.570) Epoch: [33][4230/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8221 (1.8154) Prec@1 59.375 (58.872) Prec@5 81.250 (80.569) Epoch: [33][4240/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8217 (1.8157) Prec@1 60.938 (58.864) Prec@5 82.812 (80.567) Epoch: [33][4250/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6321 (1.8159) Prec@1 61.719 (58.855) Prec@5 82.031 (80.563) Epoch: [33][4260/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6921 (1.8160) Prec@1 57.812 (58.857) Prec@5 82.031 (80.562) Epoch: [33][4270/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7682 (1.8161) Prec@1 58.594 (58.854) Prec@5 79.688 (80.559) Epoch: [33][4280/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.6635 (1.8161) Prec@1 58.594 (58.847) Prec@5 82.812 (80.558) Epoch: [33][4290/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7279 (1.8162) Prec@1 62.500 (58.850) Prec@5 79.688 (80.557) Epoch: [33][4300/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7993 (1.8162) Prec@1 53.125 (58.850) Prec@5 81.250 (80.556) Epoch: [33][4310/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.4201 (1.8161) Prec@1 64.062 (58.849) Prec@5 89.844 (80.556) Epoch: [33][4320/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6279 (1.8160) Prec@1 58.594 (58.845) Prec@5 84.375 (80.558) Epoch: [33][4330/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7857 (1.8162) Prec@1 60.938 (58.843) Prec@5 80.469 (80.554) Epoch: [33][4340/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.1416 (1.8162) Prec@1 58.594 (58.847) Prec@5 74.219 (80.554) Epoch: [33][4350/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.8381 (1.8163) Prec@1 64.062 (58.848) Prec@5 81.250 (80.552) Epoch: [33][4360/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.0311 (1.8164) Prec@1 55.469 (58.844) Prec@5 73.438 (80.547) Epoch: [33][4370/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.4863 (1.8166) Prec@1 65.625 (58.842) Prec@5 82.812 (80.544) Epoch: [33][4380/10010] Time 0.354 (0.332) Data 0.001 (0.001) Loss 1.6510 (1.8164) Prec@1 58.594 (58.841) Prec@5 83.594 (80.548) Epoch: [33][4390/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5955 (1.8166) Prec@1 64.062 (58.839) Prec@5 83.594 (80.547) Epoch: [33][4400/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7036 (1.8169) Prec@1 64.062 (58.838) Prec@5 82.812 (80.541) Epoch: [33][4410/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.5876 (1.8170) Prec@1 64.062 (58.837) Prec@5 82.031 (80.539) Epoch: [33][4420/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.5423 (1.8170) Prec@1 65.625 (58.835) Prec@5 84.375 (80.540) Epoch: [33][4430/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.5384 (1.8168) Prec@1 62.500 (58.838) Prec@5 89.062 (80.543) Epoch: [33][4440/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8101 (1.8169) Prec@1 54.688 (58.834) Prec@5 78.906 (80.544) Epoch: [33][4450/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8444 (1.8169) Prec@1 60.938 (58.834) Prec@5 83.594 (80.545) Epoch: [33][4460/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8454 (1.8169) Prec@1 56.250 (58.834) Prec@5 82.812 (80.547) Epoch: [33][4470/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8306 (1.8172) Prec@1 57.812 (58.829) Prec@5 78.906 (80.543) Epoch: [33][4480/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6936 (1.8172) Prec@1 61.719 (58.827) Prec@5 82.812 (80.542) Epoch: [33][4490/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.3219 (1.8171) Prec@1 50.000 (58.829) Prec@5 71.875 (80.544) Epoch: [33][4500/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8096 (1.8172) Prec@1 59.375 (58.827) Prec@5 78.906 (80.545) Epoch: [33][4510/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8004 (1.8173) Prec@1 64.062 (58.823) Prec@5 78.906 (80.543) Epoch: [33][4520/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8465 (1.8176) Prec@1 60.156 (58.819) Prec@5 78.906 (80.538) Epoch: [33][4530/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9587 (1.8177) Prec@1 57.812 (58.812) Prec@5 76.562 (80.537) Epoch: [33][4540/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6734 (1.8176) Prec@1 63.281 (58.817) Prec@5 82.812 (80.539) Epoch: [33][4550/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.5868 (1.8176) Prec@1 63.281 (58.818) Prec@5 85.156 (80.538) Epoch: [33][4560/10010] Time 0.306 (0.332) Data 0.001 (0.001) Loss 1.5449 (1.8175) Prec@1 65.625 (58.820) Prec@5 82.031 (80.539) Epoch: [33][4570/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7660 (1.8177) Prec@1 63.281 (58.815) Prec@5 82.031 (80.537) Epoch: [33][4580/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 1.6895 (1.8176) Prec@1 60.156 (58.816) Prec@5 82.031 (80.537) Epoch: [33][4590/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9522 (1.8174) Prec@1 53.906 (58.819) Prec@5 75.000 (80.542) Epoch: [33][4600/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.4717 (1.8171) Prec@1 69.531 (58.826) Prec@5 86.719 (80.547) Epoch: [33][4610/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9007 (1.8172) Prec@1 53.906 (58.823) Prec@5 83.594 (80.548) Epoch: [33][4620/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8666 (1.8171) Prec@1 53.125 (58.824) Prec@5 82.812 (80.552) Epoch: [33][4630/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8156 (1.8173) Prec@1 58.594 (58.818) Prec@5 79.688 (80.547) Epoch: [33][4640/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.2470 (1.8172) Prec@1 50.000 (58.823) Prec@5 68.750 (80.547) Epoch: [33][4650/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.5454 (1.8171) Prec@1 70.312 (58.822) Prec@5 82.812 (80.549) Epoch: [33][4660/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.9954 (1.8168) Prec@1 51.562 (58.826) Prec@5 80.469 (80.553) Epoch: [33][4670/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7641 (1.8166) Prec@1 58.594 (58.828) Prec@5 79.688 (80.554) Epoch: [33][4680/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6291 (1.8167) Prec@1 59.375 (58.826) Prec@5 82.812 (80.552) Epoch: [33][4690/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8038 (1.8166) Prec@1 56.250 (58.822) Prec@5 82.812 (80.556) Epoch: [33][4700/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7188 (1.8163) Prec@1 57.812 (58.823) Prec@5 82.031 (80.560) Epoch: [33][4710/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.4946 (1.8163) Prec@1 61.719 (58.822) Prec@5 85.938 (80.559) Epoch: [33][4720/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.5777 (1.8162) Prec@1 64.844 (58.827) Prec@5 85.938 (80.561) Epoch: [33][4730/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.9757 (1.8162) Prec@1 53.125 (58.825) Prec@5 82.031 (80.562) Epoch: [33][4740/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0971 (1.8163) Prec@1 56.250 (58.824) Prec@5 73.438 (80.561) Epoch: [33][4750/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8905 (1.8163) Prec@1 56.250 (58.821) Prec@5 79.688 (80.560) Epoch: [33][4760/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0585 (1.8161) Prec@1 53.125 (58.825) Prec@5 77.344 (80.566) Epoch: [33][4770/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6959 (1.8162) Prec@1 60.938 (58.823) Prec@5 82.812 (80.566) Epoch: [33][4780/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7858 (1.8164) Prec@1 57.812 (58.819) Prec@5 82.812 (80.565) Epoch: [33][4790/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5589 (1.8164) Prec@1 63.281 (58.820) Prec@5 83.594 (80.563) Epoch: [33][4800/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7114 (1.8163) Prec@1 58.594 (58.821) Prec@5 79.688 (80.564) Epoch: [33][4810/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7566 (1.8165) Prec@1 60.156 (58.819) Prec@5 82.031 (80.560) Epoch: [33][4820/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9564 (1.8165) Prec@1 53.125 (58.821) Prec@5 77.344 (80.559) Epoch: [33][4830/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.1385 (1.8167) Prec@1 51.562 (58.817) Prec@5 71.875 (80.556) Epoch: [33][4840/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.8030 (1.8167) Prec@1 64.062 (58.815) Prec@5 81.250 (80.556) Epoch: [33][4850/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 1.5963 (1.8167) Prec@1 65.625 (58.816) Prec@5 82.031 (80.555) Epoch: [33][4860/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0061 (1.8167) Prec@1 55.469 (58.817) Prec@5 77.344 (80.554) Epoch: [33][4870/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8355 (1.8167) Prec@1 61.719 (58.817) Prec@5 77.344 (80.552) Epoch: [33][4880/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7904 (1.8168) Prec@1 60.938 (58.817) Prec@5 82.031 (80.551) Epoch: [33][4890/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.7390 (1.8167) Prec@1 58.594 (58.816) Prec@5 81.250 (80.553) Epoch: [33][4900/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.1406 (1.8167) Prec@1 52.344 (58.814) Prec@5 73.438 (80.551) Epoch: [33][4910/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.5747 (1.8168) Prec@1 61.719 (58.813) Prec@5 82.812 (80.547) Epoch: [33][4920/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7203 (1.8169) Prec@1 60.938 (58.814) Prec@5 82.031 (80.546) Epoch: [33][4930/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5228 (1.8169) Prec@1 66.406 (58.816) Prec@5 78.125 (80.544) Epoch: [33][4940/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7106 (1.8169) Prec@1 58.594 (58.816) Prec@5 85.156 (80.544) Epoch: [33][4950/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9421 (1.8168) Prec@1 60.156 (58.814) Prec@5 81.250 (80.544) Epoch: [33][4960/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8437 (1.8165) Prec@1 55.469 (58.817) Prec@5 79.688 (80.549) Epoch: [33][4970/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8120 (1.8167) Prec@1 57.031 (58.813) Prec@5 81.250 (80.548) Epoch: [33][4980/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9407 (1.8167) Prec@1 54.688 (58.813) Prec@5 81.250 (80.550) Epoch: [33][4990/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7092 (1.8166) Prec@1 63.281 (58.816) Prec@5 81.250 (80.553) Epoch: [33][5000/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8754 (1.8167) Prec@1 57.812 (58.816) Prec@5 77.344 (80.553) Epoch: [33][5010/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8383 (1.8168) Prec@1 60.156 (58.816) Prec@5 78.125 (80.551) Epoch: [33][5020/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6225 (1.8167) Prec@1 63.281 (58.820) Prec@5 84.375 (80.552) Epoch: [33][5030/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7750 (1.8166) Prec@1 64.844 (58.820) Prec@5 80.469 (80.552) Epoch: [33][5040/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.4926 (1.8166) Prec@1 63.281 (58.822) Prec@5 87.500 (80.552) Epoch: [33][5050/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.6155 (1.8165) Prec@1 60.938 (58.821) Prec@5 85.156 (80.553) Epoch: [33][5060/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7941 (1.8164) Prec@1 62.500 (58.825) Prec@5 80.469 (80.554) Epoch: [33][5070/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6380 (1.8164) Prec@1 60.156 (58.823) Prec@5 85.156 (80.554) Epoch: [33][5080/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.0036 (1.8165) Prec@1 56.250 (58.826) Prec@5 75.781 (80.553) Epoch: [33][5090/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.1014 (1.8167) Prec@1 56.250 (58.821) Prec@5 76.562 (80.550) Epoch: [33][5100/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0624 (1.8168) Prec@1 55.469 (58.820) Prec@5 75.781 (80.545) Epoch: [33][5110/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6879 (1.8168) Prec@1 60.156 (58.819) Prec@5 80.469 (80.543) Epoch: [33][5120/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5890 (1.8169) Prec@1 61.719 (58.815) Prec@5 87.500 (80.544) Epoch: [33][5130/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5960 (1.8169) Prec@1 61.719 (58.814) Prec@5 85.938 (80.543) Epoch: [33][5140/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.0655 (1.8170) Prec@1 56.250 (58.815) Prec@5 75.781 (80.544) Epoch: [33][5150/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.5980 (1.8171) Prec@1 66.406 (58.814) Prec@5 83.594 (80.540) Epoch: [33][5160/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6463 (1.8169) Prec@1 62.500 (58.816) Prec@5 82.812 (80.544) Epoch: [33][5170/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.9442 (1.8170) Prec@1 53.906 (58.813) Prec@5 76.562 (80.541) Epoch: [33][5180/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.6772 (1.8170) Prec@1 59.375 (58.814) Prec@5 85.156 (80.541) Epoch: [33][5190/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.8911 (1.8168) Prec@1 59.375 (58.820) Prec@5 81.250 (80.546) Epoch: [33][5200/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.8083 (1.8168) Prec@1 59.375 (58.820) Prec@5 80.469 (80.546) Epoch: [33][5210/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8609 (1.8168) Prec@1 59.375 (58.821) Prec@5 82.812 (80.546) Epoch: [33][5220/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8516 (1.8169) Prec@1 55.469 (58.820) Prec@5 78.125 (80.545) Epoch: [33][5230/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7556 (1.8168) Prec@1 53.906 (58.823) Prec@5 82.031 (80.549) Epoch: [33][5240/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.5830 (1.8167) Prec@1 64.062 (58.825) Prec@5 83.594 (80.552) Epoch: [33][5250/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.9812 (1.8168) Prec@1 52.344 (58.821) Prec@5 80.469 (80.551) Epoch: [33][5260/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9003 (1.8167) Prec@1 57.031 (58.822) Prec@5 78.906 (80.551) Epoch: [33][5270/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.9920 (1.8170) Prec@1 56.250 (58.817) Prec@5 78.125 (80.548) Epoch: [33][5280/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6858 (1.8169) Prec@1 57.812 (58.816) Prec@5 85.938 (80.549) Epoch: [33][5290/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.2107 (1.8171) Prec@1 56.250 (58.815) Prec@5 77.344 (80.547) Epoch: [33][5300/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.0072 (1.8172) Prec@1 57.031 (58.815) Prec@5 78.125 (80.547) Epoch: [33][5310/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5303 (1.8171) Prec@1 67.969 (58.817) Prec@5 85.938 (80.548) Epoch: [33][5320/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9055 (1.8173) Prec@1 51.562 (58.814) Prec@5 79.688 (80.546) Epoch: [33][5330/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.0206 (1.8173) Prec@1 50.781 (58.812) Prec@5 81.250 (80.546) Epoch: [33][5340/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7439 (1.8172) Prec@1 62.500 (58.812) Prec@5 81.250 (80.546) Epoch: [33][5350/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.7960 (1.8173) Prec@1 60.156 (58.811) Prec@5 82.031 (80.544) Epoch: [33][5360/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7321 (1.8173) Prec@1 60.156 (58.812) Prec@5 81.250 (80.547) Epoch: [33][5370/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7673 (1.8173) Prec@1 54.688 (58.810) Prec@5 81.250 (80.547) Epoch: [33][5380/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8684 (1.8174) Prec@1 64.062 (58.808) Prec@5 79.688 (80.545) Epoch: [33][5390/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.9263 (1.8174) Prec@1 58.594 (58.807) Prec@5 78.906 (80.545) Epoch: [33][5400/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8226 (1.8174) Prec@1 56.250 (58.807) Prec@5 80.469 (80.547) Epoch: [33][5410/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7401 (1.8172) Prec@1 64.062 (58.810) Prec@5 80.469 (80.549) Epoch: [33][5420/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7585 (1.8173) Prec@1 60.156 (58.810) Prec@5 80.469 (80.548) Epoch: [33][5430/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.9385 (1.8174) Prec@1 57.031 (58.807) Prec@5 79.688 (80.546) Epoch: [33][5440/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8119 (1.8172) Prec@1 56.250 (58.810) Prec@5 79.688 (80.549) Epoch: [33][5450/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6127 (1.8173) Prec@1 67.188 (58.811) Prec@5 83.594 (80.548) Epoch: [33][5460/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.5513 (1.8173) Prec@1 64.844 (58.811) Prec@5 82.031 (80.548) Epoch: [33][5470/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8002 (1.8172) Prec@1 57.812 (58.813) Prec@5 82.031 (80.547) Epoch: [33][5480/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0195 (1.8172) Prec@1 53.906 (58.812) Prec@5 78.906 (80.548) Epoch: [33][5490/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8334 (1.8171) Prec@1 54.688 (58.813) Prec@5 78.906 (80.549) Epoch: [33][5500/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9349 (1.8170) Prec@1 57.031 (58.816) Prec@5 77.344 (80.550) Epoch: [33][5510/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.3321 (1.8170) Prec@1 71.875 (58.819) Prec@5 88.281 (80.550) Epoch: [33][5520/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8058 (1.8169) Prec@1 55.469 (58.818) Prec@5 78.906 (80.551) Epoch: [33][5530/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7369 (1.8168) Prec@1 60.938 (58.822) Prec@5 85.156 (80.555) Epoch: [33][5540/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6091 (1.8168) Prec@1 58.594 (58.822) Prec@5 85.156 (80.556) Epoch: [33][5550/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6046 (1.8168) Prec@1 63.281 (58.823) Prec@5 86.719 (80.558) Epoch: [33][5560/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9351 (1.8168) Prec@1 57.812 (58.821) Prec@5 76.562 (80.554) Epoch: [33][5570/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6298 (1.8167) Prec@1 64.844 (58.824) Prec@5 81.250 (80.556) Epoch: [33][5580/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7623 (1.8166) Prec@1 57.031 (58.824) Prec@5 78.906 (80.556) Epoch: [33][5590/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.0239 (1.8165) Prec@1 55.469 (58.827) Prec@5 78.906 (80.558) Epoch: [33][5600/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9435 (1.8167) Prec@1 53.906 (58.822) Prec@5 79.688 (80.554) Epoch: [33][5610/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8046 (1.8166) Prec@1 58.594 (58.824) Prec@5 80.469 (80.554) Epoch: [33][5620/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.5674 (1.8165) Prec@1 68.750 (58.828) Prec@5 82.031 (80.555) Epoch: [33][5630/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8482 (1.8166) Prec@1 58.594 (58.828) Prec@5 78.906 (80.554) Epoch: [33][5640/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9185 (1.8166) Prec@1 52.344 (58.824) Prec@5 79.688 (80.555) Epoch: [33][5650/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9477 (1.8167) Prec@1 60.156 (58.823) Prec@5 77.344 (80.552) Epoch: [33][5660/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6768 (1.8168) Prec@1 62.500 (58.818) Prec@5 85.156 (80.550) Epoch: [33][5670/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1291 (1.8169) Prec@1 53.125 (58.818) Prec@5 77.344 (80.552) Epoch: [33][5680/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6430 (1.8168) Prec@1 62.500 (58.821) Prec@5 82.812 (80.555) Epoch: [33][5690/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8469 (1.8169) Prec@1 53.906 (58.820) Prec@5 78.906 (80.551) Epoch: [33][5700/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6708 (1.8170) Prec@1 59.375 (58.819) Prec@5 84.375 (80.549) Epoch: [33][5710/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6843 (1.8171) Prec@1 60.156 (58.817) Prec@5 80.469 (80.548) Epoch: [33][5720/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8153 (1.8171) Prec@1 57.031 (58.819) Prec@5 79.688 (80.548) Epoch: [33][5730/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.9141 (1.8172) Prec@1 61.719 (58.817) Prec@5 81.250 (80.549) Epoch: [33][5740/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.2911 (1.8172) Prec@1 52.344 (58.817) Prec@5 71.094 (80.549) Epoch: [33][5750/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.5675 (1.8172) Prec@1 58.594 (58.816) Prec@5 82.031 (80.546) Epoch: [33][5760/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.5976 (1.8171) Prec@1 59.375 (58.818) Prec@5 85.938 (80.548) Epoch: [33][5770/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9104 (1.8171) Prec@1 53.125 (58.821) Prec@5 78.906 (80.548) Epoch: [33][5780/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.1432 (1.8170) Prec@1 53.906 (58.825) Prec@5 77.344 (80.548) Epoch: [33][5790/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6362 (1.8170) Prec@1 60.938 (58.827) Prec@5 83.594 (80.549) Epoch: [33][5800/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7194 (1.8168) Prec@1 58.594 (58.831) Prec@5 82.812 (80.550) Epoch: [33][5810/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.9524 (1.8169) Prec@1 56.250 (58.831) Prec@5 81.250 (80.548) Epoch: [33][5820/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6994 (1.8169) Prec@1 60.938 (58.833) Prec@5 81.250 (80.550) Epoch: [33][5830/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6258 (1.8168) Prec@1 62.500 (58.836) Prec@5 84.375 (80.551) /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: [33][5840/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6912 (1.8169) Prec@1 62.500 (58.833) Prec@5 82.812 (80.547) Epoch: [33][5850/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7295 (1.8168) Prec@1 57.031 (58.831) Prec@5 85.938 (80.550) Epoch: [33][5860/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.0478 (1.8169) Prec@1 56.250 (58.829) Prec@5 76.562 (80.549) Epoch: [33][5870/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7828 (1.8171) Prec@1 55.469 (58.824) Prec@5 82.031 (80.546) Epoch: [33][5880/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6154 (1.8170) Prec@1 60.938 (58.825) Prec@5 85.156 (80.550) Epoch: [33][5890/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.2196 (1.8173) Prec@1 54.688 (58.821) Prec@5 75.000 (80.546) Epoch: [33][5900/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.0199 (1.8174) Prec@1 57.812 (58.819) Prec@5 77.344 (80.546) Epoch: [33][5910/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7703 (1.8176) Prec@1 65.625 (58.816) Prec@5 83.594 (80.543) Epoch: [33][5920/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6249 (1.8176) Prec@1 61.719 (58.818) Prec@5 85.938 (80.545) Epoch: [33][5930/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8800 (1.8175) Prec@1 56.250 (58.822) Prec@5 80.469 (80.545) Epoch: [33][5940/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8494 (1.8176) Prec@1 62.500 (58.821) Prec@5 81.250 (80.544) Epoch: [33][5950/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9268 (1.8175) Prec@1 53.906 (58.823) Prec@5 78.906 (80.544) /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: [33][5960/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.7322 (1.8175) Prec@1 63.281 (58.825) Prec@5 84.375 (80.546) Epoch: [33][5970/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.3390 (1.8174) Prec@1 66.406 (58.825) Prec@5 85.938 (80.548) Epoch: [33][5980/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0283 (1.8174) Prec@1 59.375 (58.826) Prec@5 76.562 (80.547) Epoch: [33][5990/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.5245 (1.8173) Prec@1 64.844 (58.827) Prec@5 84.375 (80.548) Epoch: [33][6000/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8769 (1.8175) Prec@1 60.156 (58.823) Prec@5 76.562 (80.545) Epoch: [33][6010/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.1454 (1.8176) Prec@1 50.781 (58.820) Prec@5 76.562 (80.545) Epoch: [33][6020/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8553 (1.8178) Prec@1 57.812 (58.820) Prec@5 80.469 (80.543) Epoch: [33][6030/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9001 (1.8179) Prec@1 58.594 (58.821) Prec@5 81.250 (80.544) Epoch: [33][6040/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7743 (1.8178) Prec@1 61.719 (58.821) Prec@5 80.469 (80.544) Epoch: [33][6050/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7696 (1.8178) Prec@1 55.469 (58.820) Prec@5 85.156 (80.544) Epoch: [33][6060/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7859 (1.8180) Prec@1 57.031 (58.816) Prec@5 80.469 (80.543) Epoch: [33][6070/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.1451 (1.8182) Prec@1 51.562 (58.813) Prec@5 73.438 (80.540) Epoch: [33][6080/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8801 (1.8182) Prec@1 62.500 (58.813) Prec@5 76.562 (80.539) Epoch: [33][6090/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6519 (1.8182) Prec@1 60.938 (58.816) Prec@5 82.031 (80.540) Epoch: [33][6100/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7480 (1.8180) Prec@1 58.594 (58.817) Prec@5 80.469 (80.543) Epoch: [33][6110/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9186 (1.8180) Prec@1 59.375 (58.818) Prec@5 77.344 (80.543) Epoch: [33][6120/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8236 (1.8180) Prec@1 56.250 (58.820) Prec@5 79.688 (80.541) Epoch: [33][6130/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9008 (1.8184) Prec@1 57.812 (58.817) Prec@5 78.906 (80.537) Epoch: [33][6140/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7554 (1.8184) Prec@1 60.938 (58.820) Prec@5 84.375 (80.537) Epoch: [33][6150/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9382 (1.8185) Prec@1 56.250 (58.818) Prec@5 78.125 (80.535) Epoch: [33][6160/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5608 (1.8185) Prec@1 64.062 (58.819) Prec@5 81.250 (80.534) Epoch: [33][6170/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6684 (1.8183) Prec@1 63.281 (58.823) Prec@5 91.406 (80.538) Epoch: [33][6180/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7683 (1.8182) Prec@1 63.281 (58.824) Prec@5 81.250 (80.539) Epoch: [33][6190/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8492 (1.8183) Prec@1 55.469 (58.823) Prec@5 77.344 (80.537) Epoch: [33][6200/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.0390 (1.8183) Prec@1 55.469 (58.823) Prec@5 78.906 (80.537) Epoch: [33][6210/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6859 (1.8183) Prec@1 64.844 (58.823) Prec@5 81.250 (80.536) Epoch: [33][6220/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8211 (1.8184) Prec@1 53.125 (58.819) Prec@5 79.688 (80.535) Epoch: [33][6230/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.4460 (1.8184) Prec@1 62.500 (58.816) Prec@5 84.375 (80.535) Epoch: [33][6240/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8763 (1.8185) Prec@1 60.938 (58.813) Prec@5 85.156 (80.535) Epoch: [33][6250/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.6318 (1.8185) Prec@1 62.500 (58.813) Prec@5 85.156 (80.537) Epoch: [33][6260/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.5638 (1.8184) Prec@1 64.844 (58.815) Prec@5 82.031 (80.538) Epoch: [33][6270/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 1.7692 (1.8183) Prec@1 60.156 (58.815) Prec@5 83.594 (80.540) Epoch: [33][6280/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.5515 (1.8181) Prec@1 68.750 (58.818) Prec@5 84.375 (80.544) Epoch: [33][6290/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5046 (1.8178) Prec@1 56.250 (58.821) Prec@5 85.156 (80.548) Epoch: [33][6300/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6090 (1.8178) Prec@1 66.406 (58.823) Prec@5 86.719 (80.550) Epoch: [33][6310/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0713 (1.8178) Prec@1 57.812 (58.824) Prec@5 74.219 (80.549) Epoch: [33][6320/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0661 (1.8177) Prec@1 57.031 (58.827) Prec@5 75.781 (80.552) Epoch: [33][6330/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9611 (1.8178) Prec@1 52.344 (58.825) Prec@5 75.000 (80.550) Epoch: [33][6340/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8043 (1.8179) Prec@1 59.375 (58.825) Prec@5 80.469 (80.547) Epoch: [33][6350/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.5991 (1.8179) Prec@1 58.594 (58.826) Prec@5 84.375 (80.546) Epoch: [33][6360/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.9198 (1.8178) Prec@1 50.781 (58.829) Prec@5 78.906 (80.547) /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: [33][6370/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9275 (1.8179) Prec@1 53.906 (58.827) Prec@5 75.000 (80.546) Epoch: [33][6380/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7162 (1.8179) Prec@1 64.062 (58.827) Prec@5 84.375 (80.547) Epoch: [33][6390/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.1496 (1.8178) Prec@1 56.250 (58.831) Prec@5 73.438 (80.547) Epoch: [33][6400/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6376 (1.8179) Prec@1 66.406 (58.828) Prec@5 84.375 (80.548) Epoch: [33][6410/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.1704 (1.8179) Prec@1 47.656 (58.827) Prec@5 72.656 (80.549) Epoch: [33][6420/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.9071 (1.8181) Prec@1 60.938 (58.825) Prec@5 79.688 (80.544) Epoch: [33][6430/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6799 (1.8179) Prec@1 61.719 (58.830) Prec@5 82.812 (80.545) Epoch: [33][6440/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8586 (1.8178) Prec@1 60.938 (58.831) Prec@5 81.250 (80.547) Epoch: [33][6450/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.9027 (1.8178) Prec@1 60.156 (58.833) Prec@5 78.125 (80.547) Epoch: [33][6460/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.9502 (1.8180) Prec@1 58.594 (58.832) Prec@5 78.125 (80.546) Epoch: [33][6470/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6908 (1.8180) Prec@1 60.156 (58.830) Prec@5 82.031 (80.545) Epoch: [33][6480/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9151 (1.8180) Prec@1 54.688 (58.830) Prec@5 82.031 (80.546) Epoch: [33][6490/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8291 (1.8179) Prec@1 61.719 (58.831) Prec@5 79.688 (80.547) Epoch: [33][6500/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8696 (1.8180) Prec@1 60.156 (58.830) Prec@5 78.125 (80.546) Epoch: [33][6510/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7327 (1.8179) Prec@1 54.688 (58.827) Prec@5 81.250 (80.547) Epoch: [33][6520/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.3877 (1.8179) Prec@1 70.312 (58.832) Prec@5 85.938 (80.548) Epoch: [33][6530/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7711 (1.8179) Prec@1 57.031 (58.832) Prec@5 84.375 (80.547) Epoch: [33][6540/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8988 (1.8177) Prec@1 59.375 (58.838) Prec@5 79.688 (80.550) Epoch: [33][6550/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.6282 (1.8176) Prec@1 66.406 (58.839) Prec@5 82.031 (80.552) Epoch: [33][6560/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8080 (1.8177) Prec@1 55.469 (58.839) Prec@5 80.469 (80.553) Epoch: [33][6570/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.5862 (1.8177) Prec@1 56.250 (58.840) Prec@5 85.156 (80.552) Epoch: [33][6580/10010] Time 0.332 (0.332) Data 0.002 (0.001) Loss 2.1312 (1.8176) Prec@1 50.781 (58.841) Prec@5 76.562 (80.553) Epoch: [33][6590/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.2405 (1.8175) Prec@1 53.906 (58.841) Prec@5 69.531 (80.553) Epoch: [33][6600/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6582 (1.8175) Prec@1 64.062 (58.839) Prec@5 82.812 (80.555) Epoch: [33][6610/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7445 (1.8174) Prec@1 63.281 (58.841) Prec@5 80.469 (80.556) Epoch: [33][6620/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.8203 (1.8176) Prec@1 62.500 (58.837) Prec@5 85.938 (80.552) Epoch: [33][6630/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.1417 (1.8175) Prec@1 54.688 (58.838) Prec@5 78.125 (80.555) Epoch: [33][6640/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9791 (1.8175) Prec@1 50.000 (58.834) Prec@5 78.906 (80.555) Epoch: [33][6650/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.5665 (1.8174) Prec@1 60.938 (58.837) Prec@5 86.719 (80.556) Epoch: [33][6660/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.5559 (1.8176) Prec@1 64.062 (58.833) Prec@5 82.812 (80.553) Epoch: [33][6670/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.6973 (1.8175) Prec@1 61.719 (58.835) Prec@5 80.469 (80.554) Epoch: [33][6680/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.3207 (1.8175) Prec@1 65.625 (58.833) Prec@5 91.406 (80.553) Epoch: [33][6690/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9095 (1.8176) Prec@1 58.594 (58.832) Prec@5 80.469 (80.552) Epoch: [33][6700/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6092 (1.8175) Prec@1 63.281 (58.832) Prec@5 82.031 (80.552) Epoch: [33][6710/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9783 (1.8174) Prec@1 53.906 (58.834) Prec@5 80.469 (80.555) Epoch: [33][6720/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6302 (1.8175) Prec@1 60.156 (58.831) Prec@5 83.594 (80.555) Epoch: [33][6730/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8570 (1.8175) Prec@1 55.469 (58.830) Prec@5 82.031 (80.554) Epoch: [33][6740/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.8214 (1.8174) Prec@1 58.594 (58.831) Prec@5 81.250 (80.555) Epoch: [33][6750/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.9273 (1.8175) Prec@1 59.375 (58.831) Prec@5 78.906 (80.553) Epoch: [33][6760/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6950 (1.8176) Prec@1 60.938 (58.831) Prec@5 80.469 (80.552) Epoch: [33][6770/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.7940 (1.8176) Prec@1 53.125 (58.831) Prec@5 82.812 (80.552) Epoch: [33][6780/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8683 (1.8175) Prec@1 57.031 (58.830) Prec@5 78.906 (80.553) Epoch: [33][6790/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.0384 (1.8175) Prec@1 53.906 (58.831) Prec@5 75.000 (80.553) Epoch: [33][6800/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.0135 (1.8174) Prec@1 54.688 (58.832) Prec@5 77.344 (80.553) Epoch: [33][6810/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.0668 (1.8175) Prec@1 51.562 (58.832) Prec@5 79.688 (80.554) Epoch: [33][6820/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6268 (1.8174) Prec@1 62.500 (58.832) Prec@5 83.594 (80.554) Epoch: [33][6830/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.1137 (1.8175) Prec@1 55.469 (58.829) Prec@5 78.906 (80.552) Epoch: [33][6840/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6283 (1.8176) Prec@1 64.062 (58.828) Prec@5 83.594 (80.551) Epoch: [33][6850/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8603 (1.8176) Prec@1 59.375 (58.828) Prec@5 76.562 (80.551) Epoch: [33][6860/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8997 (1.8177) Prec@1 56.250 (58.827) Prec@5 77.344 (80.549) Epoch: [33][6870/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.3636 (1.8176) Prec@1 67.188 (58.829) Prec@5 86.719 (80.550) Epoch: [33][6880/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6929 (1.8175) Prec@1 61.719 (58.827) Prec@5 81.250 (80.551) Epoch: [33][6890/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0295 (1.8175) Prec@1 54.688 (58.828) Prec@5 77.344 (80.550) Epoch: [33][6900/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7146 (1.8175) Prec@1 63.281 (58.828) Prec@5 82.812 (80.551) Epoch: [33][6910/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5916 (1.8174) Prec@1 63.281 (58.831) Prec@5 83.594 (80.552) Epoch: [33][6920/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6863 (1.8173) Prec@1 62.500 (58.834) Prec@5 80.469 (80.553) Epoch: [33][6930/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.0421 (1.8173) Prec@1 54.688 (58.833) Prec@5 78.125 (80.553) Epoch: [33][6940/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.4804 (1.8173) Prec@1 68.750 (58.834) Prec@5 83.594 (80.552) Epoch: [33][6950/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8094 (1.8172) Prec@1 54.688 (58.837) Prec@5 87.500 (80.554) Epoch: [33][6960/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1978 (1.8171) Prec@1 54.688 (58.841) Prec@5 71.094 (80.555) Epoch: [33][6970/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8054 (1.8170) Prec@1 60.156 (58.842) Prec@5 85.156 (80.555) Epoch: [33][6980/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6046 (1.8169) Prec@1 60.938 (58.846) Prec@5 78.906 (80.557) Epoch: [33][6990/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6900 (1.8168) Prec@1 57.031 (58.848) Prec@5 82.812 (80.559) Epoch: [33][7000/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.0637 (1.8168) Prec@1 57.812 (58.848) Prec@5 74.219 (80.558) Epoch: [33][7010/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9282 (1.8168) Prec@1 57.812 (58.849) Prec@5 78.906 (80.559) Epoch: [33][7020/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.0449 (1.8169) Prec@1 52.344 (58.848) Prec@5 77.344 (80.559) Epoch: [33][7030/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9228 (1.8171) Prec@1 55.469 (58.845) Prec@5 77.344 (80.557) Epoch: [33][7040/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9784 (1.8171) Prec@1 49.219 (58.841) Prec@5 78.906 (80.557) Epoch: [33][7050/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8956 (1.8171) Prec@1 56.250 (58.839) Prec@5 80.469 (80.556) Epoch: [33][7060/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.4811 (1.8171) Prec@1 63.281 (58.838) Prec@5 82.812 (80.559) Epoch: [33][7070/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.0972 (1.8172) Prec@1 57.031 (58.836) Prec@5 74.219 (80.557) Epoch: [33][7080/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.9392 (1.8174) Prec@1 56.250 (58.834) Prec@5 78.906 (80.554) Epoch: [33][7090/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.1230 (1.8175) Prec@1 51.562 (58.832) Prec@5 72.656 (80.553) Epoch: [33][7100/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.1367 (1.8176) Prec@1 50.781 (58.831) Prec@5 77.344 (80.553) Epoch: [33][7110/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.5863 (1.8177) Prec@1 64.062 (58.829) Prec@5 82.031 (80.553) Epoch: [33][7120/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8723 (1.8178) Prec@1 59.375 (58.824) Prec@5 80.469 (80.554) Epoch: [33][7130/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6820 (1.8178) Prec@1 63.281 (58.822) Prec@5 84.375 (80.553) Epoch: [33][7140/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7240 (1.8178) Prec@1 66.406 (58.822) Prec@5 82.031 (80.555) Epoch: [33][7150/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8432 (1.8178) Prec@1 56.250 (58.822) Prec@5 81.250 (80.557) Epoch: [33][7160/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.5112 (1.8177) Prec@1 64.062 (58.823) Prec@5 83.594 (80.556) Epoch: [33][7170/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0756 (1.8178) Prec@1 54.688 (58.819) Prec@5 81.250 (80.555) Epoch: [33][7180/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.9673 (1.8180) Prec@1 53.906 (58.815) Prec@5 85.156 (80.554) Epoch: [33][7190/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9354 (1.8181) Prec@1 55.469 (58.813) Prec@5 82.031 (80.553) Epoch: [33][7200/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.1153 (1.8182) Prec@1 52.344 (58.809) Prec@5 77.344 (80.551) Epoch: [33][7210/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.1728 (1.8183) Prec@1 49.219 (58.808) Prec@5 75.781 (80.549) Epoch: [33][7220/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.4984 (1.8183) Prec@1 60.938 (58.808) Prec@5 87.500 (80.549) Epoch: [33][7230/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8285 (1.8183) Prec@1 63.281 (58.808) Prec@5 82.031 (80.550) Epoch: [33][7240/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.6137 (1.8183) Prec@1 61.719 (58.806) Prec@5 85.156 (80.551) Epoch: [33][7250/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.2802 (1.8185) Prec@1 46.875 (58.802) Prec@5 74.219 (80.549) Epoch: [33][7260/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6948 (1.8185) Prec@1 54.688 (58.800) Prec@5 85.156 (80.547) Epoch: [33][7270/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5711 (1.8185) Prec@1 60.938 (58.803) Prec@5 83.594 (80.549) Epoch: [33][7280/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9190 (1.8186) Prec@1 56.250 (58.799) Prec@5 78.906 (80.546) Epoch: [33][7290/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.0175 (1.8187) Prec@1 60.156 (58.798) Prec@5 77.344 (80.546) Epoch: [33][7300/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8280 (1.8187) Prec@1 58.594 (58.797) Prec@5 83.594 (80.545) Epoch: [33][7310/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.0827 (1.8188) Prec@1 53.125 (58.795) Prec@5 74.219 (80.543) Epoch: [33][7320/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8111 (1.8188) Prec@1 60.938 (58.794) Prec@5 78.125 (80.542) Epoch: [33][7330/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.6969 (1.8189) Prec@1 60.156 (58.792) Prec@5 82.812 (80.539) Epoch: [33][7340/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7132 (1.8190) Prec@1 62.500 (58.790) Prec@5 82.031 (80.538) Epoch: [33][7350/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8481 (1.8191) Prec@1 57.812 (58.789) Prec@5 80.469 (80.536) Epoch: [33][7360/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.8120 (1.8191) Prec@1 61.719 (58.790) Prec@5 82.031 (80.536) Epoch: [33][7370/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7551 (1.8191) Prec@1 60.938 (58.790) Prec@5 82.031 (80.537) Epoch: [33][7380/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7435 (1.8190) Prec@1 64.844 (58.790) Prec@5 78.906 (80.535) Epoch: [33][7390/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0741 (1.8191) Prec@1 50.781 (58.789) Prec@5 79.688 (80.536) Epoch: [33][7400/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8786 (1.8191) Prec@1 60.938 (58.790) Prec@5 76.562 (80.534) Epoch: [33][7410/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.5163 (1.8191) Prec@1 66.406 (58.792) Prec@5 86.719 (80.534) Epoch: [33][7420/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9221 (1.8191) Prec@1 58.594 (58.793) Prec@5 81.250 (80.534) Epoch: [33][7430/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9106 (1.8190) Prec@1 60.156 (58.794) Prec@5 78.125 (80.533) Epoch: [33][7440/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.1073 (1.8190) Prec@1 56.250 (58.794) Prec@5 75.000 (80.534) Epoch: [33][7450/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.0397 (1.8190) Prec@1 53.125 (58.794) Prec@5 77.344 (80.535) Epoch: [33][7460/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8667 (1.8190) Prec@1 60.156 (58.793) Prec@5 78.125 (80.533) Epoch: [33][7470/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9144 (1.8191) Prec@1 57.812 (58.791) Prec@5 76.562 (80.533) Epoch: [33][7480/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6647 (1.8190) Prec@1 62.500 (58.792) Prec@5 85.938 (80.534) Epoch: [33][7490/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8928 (1.8192) Prec@1 58.594 (58.789) Prec@5 78.906 (80.531) Epoch: [33][7500/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6451 (1.8192) Prec@1 60.938 (58.789) Prec@5 82.031 (80.529) Epoch: [33][7510/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0111 (1.8192) Prec@1 50.781 (58.788) Prec@5 77.344 (80.530) Epoch: [33][7520/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9754 (1.8192) Prec@1 59.375 (58.787) Prec@5 78.906 (80.531) Epoch: [33][7530/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6119 (1.8191) Prec@1 60.938 (58.789) Prec@5 87.500 (80.531) Epoch: [33][7540/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0079 (1.8192) Prec@1 51.562 (58.785) Prec@5 79.688 (80.531) Epoch: [33][7550/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9177 (1.8193) Prec@1 53.906 (58.783) Prec@5 81.250 (80.529) Epoch: [33][7560/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0431 (1.8193) Prec@1 55.469 (58.782) Prec@5 75.781 (80.529) Epoch: [33][7570/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.7675 (1.8194) Prec@1 64.844 (58.783) Prec@5 82.812 (80.528) Epoch: [33][7580/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0206 (1.8195) Prec@1 51.562 (58.780) Prec@5 77.344 (80.527) Epoch: [33][7590/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9689 (1.8195) Prec@1 53.125 (58.780) Prec@5 78.906 (80.525) Epoch: [33][7600/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7575 (1.8196) Prec@1 58.594 (58.778) Prec@5 84.375 (80.523) Epoch: [33][7610/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0956 (1.8197) Prec@1 58.594 (58.780) Prec@5 75.000 (80.523) Epoch: [33][7620/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0019 (1.8198) Prec@1 51.562 (58.777) Prec@5 77.344 (80.521) Epoch: [33][7630/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9182 (1.8198) Prec@1 60.156 (58.778) Prec@5 76.562 (80.520) Epoch: [33][7640/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8346 (1.8195) Prec@1 61.719 (58.783) Prec@5 80.469 (80.523) Epoch: [33][7650/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0975 (1.8196) Prec@1 52.344 (58.781) Prec@5 75.000 (80.522) Epoch: [33][7660/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6842 (1.8195) Prec@1 59.375 (58.783) Prec@5 80.469 (80.523) /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: [33][7670/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9645 (1.8196) Prec@1 51.562 (58.780) Prec@5 76.562 (80.521) Epoch: [33][7680/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8945 (1.8197) Prec@1 57.031 (58.779) Prec@5 78.906 (80.520) Epoch: [33][7690/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7864 (1.8197) Prec@1 53.125 (58.778) Prec@5 82.812 (80.519) Epoch: [33][7700/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8301 (1.8197) Prec@1 61.719 (58.778) Prec@5 82.031 (80.519) Epoch: [33][7710/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7821 (1.8197) Prec@1 57.812 (58.779) Prec@5 78.906 (80.518) Epoch: [33][7720/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8268 (1.8197) Prec@1 53.125 (58.778) Prec@5 80.469 (80.518) Epoch: [33][7730/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7979 (1.8197) Prec@1 61.719 (58.777) Prec@5 80.469 (80.519) Epoch: [33][7740/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0539 (1.8197) Prec@1 57.812 (58.776) Prec@5 77.344 (80.519) Epoch: [33][7750/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8727 (1.8197) Prec@1 59.375 (58.776) Prec@5 78.125 (80.521) Epoch: [33][7760/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6643 (1.8196) Prec@1 64.844 (58.777) Prec@5 79.688 (80.522) Epoch: [33][7770/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8020 (1.8197) Prec@1 61.719 (58.775) Prec@5 79.688 (80.518) Epoch: [33][7780/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9768 (1.8198) Prec@1 61.719 (58.776) Prec@5 76.562 (80.516) Epoch: [33][7790/10010] Time 0.308 (0.331) Data 0.001 (0.001) Loss 2.0765 (1.8198) Prec@1 50.000 (58.776) Prec@5 77.344 (80.517) Epoch: [33][7800/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7589 (1.8198) Prec@1 61.719 (58.777) Prec@5 84.375 (80.517) Epoch: [33][7810/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0186 (1.8198) Prec@1 53.906 (58.777) Prec@5 78.125 (80.519) Epoch: [33][7820/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7708 (1.8198) Prec@1 60.156 (58.780) Prec@5 82.031 (80.518) Epoch: [33][7830/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7762 (1.8198) Prec@1 60.156 (58.779) Prec@5 83.594 (80.519) Epoch: [33][7840/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8478 (1.8199) Prec@1 57.031 (58.776) Prec@5 78.906 (80.517) Epoch: [33][7850/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9175 (1.8199) Prec@1 58.594 (58.773) Prec@5 79.688 (80.517) Epoch: [33][7860/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8319 (1.8199) Prec@1 60.938 (58.772) Prec@5 82.031 (80.517) Epoch: [33][7870/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9099 (1.8198) Prec@1 59.375 (58.775) Prec@5 82.812 (80.518) Epoch: [33][7880/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7615 (1.8198) Prec@1 60.156 (58.775) Prec@5 79.688 (80.520) Epoch: [33][7890/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6810 (1.8198) Prec@1 56.250 (58.774) Prec@5 83.594 (80.519) Epoch: [33][7900/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6991 (1.8198) Prec@1 60.156 (58.774) Prec@5 82.812 (80.520) Epoch: [33][7910/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7968 (1.8197) Prec@1 60.156 (58.775) Prec@5 81.250 (80.522) Epoch: [33][7920/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2758 (1.8198) Prec@1 46.875 (58.771) Prec@5 71.875 (80.521) Epoch: [33][7930/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9760 (1.8197) Prec@1 56.250 (58.774) Prec@5 78.125 (80.521) Epoch: [33][7940/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.2251 (1.8197) Prec@1 50.000 (58.775) Prec@5 74.219 (80.521) Epoch: [33][7950/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0088 (1.8199) Prec@1 60.156 (58.774) Prec@5 76.562 (80.517) Epoch: [33][7960/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4846 (1.8198) Prec@1 60.156 (58.775) Prec@5 82.812 (80.520) Epoch: [33][7970/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6372 (1.8197) Prec@1 58.594 (58.777) Prec@5 83.594 (80.520) Epoch: [33][7980/10010] Time 0.324 (0.331) Data 0.002 (0.001) Loss 1.6114 (1.8198) Prec@1 64.062 (58.777) Prec@5 85.156 (80.520) Epoch: [33][7990/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9763 (1.8198) Prec@1 56.250 (58.777) Prec@5 76.562 (80.520) Epoch: [33][8000/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5437 (1.8197) Prec@1 57.812 (58.778) Prec@5 86.719 (80.521) Epoch: [33][8010/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5624 (1.8197) Prec@1 62.500 (58.776) Prec@5 85.156 (80.522) Epoch: [33][8020/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8775 (1.8197) Prec@1 54.688 (58.775) Prec@5 79.688 (80.522) Epoch: [33][8030/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8491 (1.8197) Prec@1 58.594 (58.775) Prec@5 81.250 (80.523) Epoch: [33][8040/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9865 (1.8198) Prec@1 57.031 (58.774) Prec@5 80.469 (80.523) Epoch: [33][8050/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6210 (1.8198) Prec@1 67.188 (58.776) Prec@5 79.688 (80.522) Epoch: [33][8060/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8176 (1.8197) Prec@1 50.000 (58.775) Prec@5 82.031 (80.522) Epoch: [33][8070/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9159 (1.8197) Prec@1 57.812 (58.774) Prec@5 75.781 (80.521) Epoch: [33][8080/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6220 (1.8196) Prec@1 63.281 (58.775) Prec@5 80.469 (80.522) Epoch: [33][8090/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8094 (1.8195) Prec@1 57.812 (58.778) Prec@5 78.906 (80.523) Epoch: [33][8100/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5085 (1.8195) Prec@1 64.844 (58.780) Prec@5 87.500 (80.524) Epoch: [33][8110/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0614 (1.8195) Prec@1 53.125 (58.779) Prec@5 79.688 (80.524) Epoch: [33][8120/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0683 (1.8195) Prec@1 47.656 (58.778) Prec@5 81.250 (80.524) Epoch: [33][8130/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7538 (1.8195) Prec@1 57.812 (58.779) Prec@5 82.812 (80.525) Epoch: [33][8140/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0481 (1.8194) Prec@1 54.688 (58.780) Prec@5 72.656 (80.525) Epoch: [33][8150/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5940 (1.8194) Prec@1 57.031 (58.781) Prec@5 82.031 (80.525) Epoch: [33][8160/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8435 (1.8195) Prec@1 60.938 (58.781) Prec@5 82.031 (80.523) Epoch: [33][8170/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8582 (1.8195) Prec@1 59.375 (58.780) Prec@5 80.469 (80.524) Epoch: [33][8180/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7843 (1.8195) Prec@1 58.594 (58.779) Prec@5 79.688 (80.525) Epoch: [33][8190/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0804 (1.8195) Prec@1 58.594 (58.780) Prec@5 73.438 (80.526) Epoch: [33][8200/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8832 (1.8197) Prec@1 57.812 (58.777) Prec@5 78.125 (80.523) Epoch: [33][8210/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5671 (1.8197) Prec@1 61.719 (58.778) Prec@5 86.719 (80.525) Epoch: [33][8220/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0251 (1.8196) Prec@1 55.469 (58.777) Prec@5 78.906 (80.525) Epoch: [33][8230/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9489 (1.8196) Prec@1 57.031 (58.774) Prec@5 76.562 (80.522) Epoch: [33][8240/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7799 (1.8196) Prec@1 62.500 (58.776) Prec@5 83.594 (80.525) Epoch: [33][8250/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7702 (1.8196) Prec@1 56.250 (58.776) Prec@5 84.375 (80.525) Epoch: [33][8260/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0064 (1.8195) Prec@1 54.688 (58.778) Prec@5 78.906 (80.527) Epoch: [33][8270/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7504 (1.8194) Prec@1 59.375 (58.779) Prec@5 79.688 (80.527) Epoch: [33][8280/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7892 (1.8195) Prec@1 57.031 (58.777) Prec@5 82.812 (80.525) Epoch: [33][8290/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7300 (1.8195) Prec@1 57.031 (58.776) Prec@5 83.594 (80.527) Epoch: [33][8300/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.4763 (1.8195) Prec@1 59.375 (58.775) Prec@5 89.844 (80.528) Epoch: [33][8310/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9757 (1.8194) Prec@1 60.156 (58.777) Prec@5 80.469 (80.529) Epoch: [33][8320/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6352 (1.8193) Prec@1 60.938 (58.777) Prec@5 82.812 (80.531) Epoch: [33][8330/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8321 (1.8193) Prec@1 57.812 (58.775) Prec@5 76.562 (80.529) Epoch: [33][8340/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0384 (1.8194) Prec@1 53.906 (58.775) Prec@5 78.125 (80.528) Epoch: [33][8350/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0487 (1.8194) Prec@1 55.469 (58.774) Prec@5 76.562 (80.528) Epoch: [33][8360/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0272 (1.8196) Prec@1 53.125 (58.771) Prec@5 76.562 (80.525) Epoch: [33][8370/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1775 (1.8196) Prec@1 50.781 (58.771) Prec@5 71.875 (80.524) Epoch: [33][8380/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.5800 (1.8197) Prec@1 61.719 (58.769) Prec@5 87.500 (80.523) Epoch: [33][8390/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6794 (1.8196) Prec@1 59.375 (58.769) Prec@5 85.938 (80.524) Epoch: [33][8400/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9674 (1.8196) Prec@1 57.031 (58.768) Prec@5 76.562 (80.524) Epoch: [33][8410/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7092 (1.8195) Prec@1 60.938 (58.767) Prec@5 85.938 (80.527) Epoch: [33][8420/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.4867 (1.8195) Prec@1 67.969 (58.768) Prec@5 85.156 (80.528) Epoch: [33][8430/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0016 (1.8195) Prec@1 53.906 (58.768) Prec@5 75.781 (80.527) Epoch: [33][8440/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7918 (1.8195) Prec@1 60.156 (58.767) Prec@5 82.812 (80.527) Epoch: [33][8450/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9968 (1.8196) Prec@1 60.156 (58.765) Prec@5 81.250 (80.525) Epoch: [33][8460/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8132 (1.8196) Prec@1 57.812 (58.765) Prec@5 82.812 (80.526) Epoch: [33][8470/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6754 (1.8196) Prec@1 63.281 (58.765) Prec@5 82.812 (80.526) Epoch: [33][8480/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.4783 (1.8195) Prec@1 63.281 (58.765) Prec@5 85.156 (80.526) Epoch: [33][8490/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5122 (1.8195) Prec@1 61.719 (58.768) Prec@5 86.719 (80.526) Epoch: [33][8500/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9261 (1.8194) Prec@1 60.938 (58.769) Prec@5 80.469 (80.528) Epoch: [33][8510/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6960 (1.8195) Prec@1 60.938 (58.768) Prec@5 85.156 (80.527) Epoch: [33][8520/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1999 (1.8196) Prec@1 57.031 (58.768) Prec@5 75.781 (80.526) Epoch: [33][8530/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0615 (1.8197) Prec@1 56.250 (58.765) Prec@5 75.781 (80.524) Epoch: [33][8540/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5736 (1.8198) Prec@1 62.500 (58.764) Prec@5 83.594 (80.523) Epoch: [33][8550/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8557 (1.8199) Prec@1 60.938 (58.761) Prec@5 80.469 (80.521) Epoch: [33][8560/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7644 (1.8199) Prec@1 58.594 (58.759) Prec@5 81.250 (80.522) Epoch: [33][8570/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7849 (1.8198) Prec@1 58.594 (58.761) Prec@5 78.906 (80.523) Epoch: [33][8580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7805 (1.8199) Prec@1 63.281 (58.760) Prec@5 82.812 (80.522) Epoch: [33][8590/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7433 (1.8199) Prec@1 60.938 (58.761) Prec@5 79.688 (80.522) Epoch: [33][8600/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8961 (1.8199) Prec@1 62.500 (58.762) Prec@5 79.688 (80.523) Epoch: [33][8610/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9934 (1.8200) Prec@1 52.344 (58.761) Prec@5 77.344 (80.522) Epoch: [33][8620/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5087 (1.8200) Prec@1 67.969 (58.759) Prec@5 83.594 (80.520) Epoch: [33][8630/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9573 (1.8201) Prec@1 61.719 (58.758) Prec@5 79.688 (80.521) Epoch: [33][8640/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0648 (1.8201) Prec@1 56.250 (58.759) Prec@5 76.562 (80.520) Epoch: [33][8650/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.2124 (1.8201) Prec@1 48.438 (58.757) Prec@5 78.906 (80.520) Epoch: [33][8660/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6477 (1.8201) Prec@1 61.719 (58.758) Prec@5 82.031 (80.520) Epoch: [33][8670/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.5101 (1.8201) Prec@1 63.281 (58.758) Prec@5 87.500 (80.520) Epoch: [33][8680/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7300 (1.8201) Prec@1 60.938 (58.759) Prec@5 82.031 (80.521) Epoch: [33][8690/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8278 (1.8201) Prec@1 59.375 (58.759) Prec@5 82.031 (80.521) Epoch: [33][8700/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8861 (1.8201) Prec@1 57.812 (58.757) Prec@5 80.469 (80.520) Epoch: [33][8710/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7269 (1.8202) Prec@1 61.719 (58.754) Prec@5 80.469 (80.517) Epoch: [33][8720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8800 (1.8202) Prec@1 64.062 (58.755) Prec@5 77.344 (80.517) Epoch: [33][8730/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8203 (1.8203) Prec@1 57.812 (58.753) Prec@5 77.344 (80.516) Epoch: [33][8740/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8747 (1.8203) Prec@1 56.250 (58.752) Prec@5 81.250 (80.515) Epoch: [33][8750/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6980 (1.8204) Prec@1 60.156 (58.751) Prec@5 78.906 (80.513) Epoch: [33][8760/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6846 (1.8203) Prec@1 64.062 (58.752) Prec@5 78.906 (80.512) Epoch: [33][8770/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8753 (1.8203) Prec@1 50.000 (58.754) Prec@5 78.906 (80.513) Epoch: [33][8780/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.4791 (1.8202) Prec@1 60.938 (58.755) Prec@5 86.719 (80.514) Epoch: [33][8790/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9968 (1.8202) Prec@1 56.250 (58.754) Prec@5 78.906 (80.515) Epoch: [33][8800/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7252 (1.8201) Prec@1 59.375 (58.756) Prec@5 82.031 (80.517) Epoch: [33][8810/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9051 (1.8201) Prec@1 60.156 (58.754) Prec@5 80.469 (80.518) Epoch: [33][8820/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.1457 (1.8200) Prec@1 54.688 (58.754) Prec@5 73.438 (80.518) Epoch: [33][8830/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9178 (1.8200) Prec@1 58.594 (58.755) Prec@5 81.250 (80.519) Epoch: [33][8840/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9284 (1.8200) Prec@1 53.906 (58.757) Prec@5 75.000 (80.520) Epoch: [33][8850/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.9254 (1.8199) Prec@1 58.594 (58.757) Prec@5 78.125 (80.519) Epoch: [33][8860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7960 (1.8198) Prec@1 59.375 (58.762) Prec@5 81.250 (80.521) Epoch: [33][8870/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.4120 (1.8199) Prec@1 48.438 (58.760) Prec@5 67.969 (80.519) Epoch: [33][8880/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0122 (1.8199) Prec@1 50.000 (58.758) Prec@5 75.000 (80.519) Epoch: [33][8890/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8671 (1.8199) Prec@1 60.156 (58.758) Prec@5 77.344 (80.520) Epoch: [33][8900/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9360 (1.8199) Prec@1 58.594 (58.758) Prec@5 78.906 (80.519) Epoch: [33][8910/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8520 (1.8200) Prec@1 61.719 (58.756) Prec@5 80.469 (80.518) Epoch: [33][8920/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6393 (1.8199) Prec@1 62.500 (58.757) Prec@5 84.375 (80.519) Epoch: [33][8930/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8014 (1.8199) Prec@1 60.156 (58.758) Prec@5 78.125 (80.521) Epoch: [33][8940/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7895 (1.8199) Prec@1 61.719 (58.758) Prec@5 81.250 (80.522) Epoch: [33][8950/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8095 (1.8199) Prec@1 57.812 (58.757) Prec@5 79.688 (80.521) Epoch: [33][8960/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6910 (1.8200) Prec@1 64.844 (58.757) Prec@5 85.156 (80.523) Epoch: [33][8970/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9280 (1.8199) Prec@1 57.812 (58.760) Prec@5 78.125 (80.524) Epoch: [33][8980/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8041 (1.8199) Prec@1 60.156 (58.758) Prec@5 78.906 (80.523) Epoch: [33][8990/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9801 (1.8198) Prec@1 55.469 (58.761) Prec@5 80.469 (80.525) Epoch: [33][9000/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0715 (1.8199) Prec@1 53.125 (58.759) Prec@5 78.906 (80.524) Epoch: [33][9010/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9780 (1.8201) Prec@1 56.250 (58.756) Prec@5 72.656 (80.520) Epoch: [33][9020/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9107 (1.8201) Prec@1 55.469 (58.756) Prec@5 76.562 (80.520) Epoch: [33][9030/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8389 (1.8200) Prec@1 58.594 (58.758) Prec@5 78.906 (80.522) Epoch: [33][9040/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9566 (1.8199) Prec@1 56.250 (58.761) Prec@5 75.781 (80.523) Epoch: [33][9050/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.2570 (1.8200) Prec@1 51.562 (58.761) Prec@5 71.875 (80.523) Epoch: [33][9060/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6608 (1.8198) Prec@1 60.938 (58.764) Prec@5 81.250 (80.524) Epoch: [33][9070/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7438 (1.8198) Prec@1 63.281 (58.763) Prec@5 80.469 (80.524) Epoch: [33][9080/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1908 (1.8200) Prec@1 56.250 (58.761) Prec@5 75.000 (80.523) Epoch: [33][9090/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7875 (1.8200) Prec@1 53.906 (58.758) Prec@5 79.688 (80.521) Epoch: [33][9100/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6987 (1.8199) Prec@1 60.156 (58.760) Prec@5 82.031 (80.522) Epoch: [33][9110/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8628 (1.8200) Prec@1 51.562 (58.758) Prec@5 82.812 (80.522) Epoch: [33][9120/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6293 (1.8199) Prec@1 64.062 (58.759) Prec@5 80.469 (80.523) Epoch: [33][9130/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7324 (1.8201) Prec@1 61.719 (58.758) Prec@5 81.250 (80.522) Epoch: [33][9140/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7644 (1.8201) Prec@1 66.406 (58.757) Prec@5 80.469 (80.521) Epoch: [33][9150/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9015 (1.8202) Prec@1 53.906 (58.752) Prec@5 77.344 (80.518) Epoch: [33][9160/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5791 (1.8202) Prec@1 61.719 (58.753) Prec@5 79.688 (80.519) Epoch: [33][9170/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7017 (1.8202) Prec@1 62.500 (58.753) Prec@5 84.375 (80.520) Epoch: [33][9180/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9792 (1.8201) Prec@1 60.156 (58.754) Prec@5 76.562 (80.520) Epoch: [33][9190/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6668 (1.8201) Prec@1 63.281 (58.755) Prec@5 83.594 (80.520) Epoch: [33][9200/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8393 (1.8202) Prec@1 60.156 (58.754) Prec@5 79.688 (80.520) Epoch: [33][9210/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0446 (1.8203) Prec@1 56.250 (58.753) Prec@5 75.000 (80.516) Epoch: [33][9220/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7934 (1.8202) Prec@1 57.031 (58.754) Prec@5 80.469 (80.518) Epoch: [33][9230/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8395 (1.8203) Prec@1 60.156 (58.752) Prec@5 80.469 (80.517) Epoch: [33][9240/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8787 (1.8202) Prec@1 53.906 (58.753) Prec@5 78.125 (80.519) Epoch: [33][9250/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7014 (1.8202) Prec@1 57.031 (58.750) Prec@5 78.125 (80.517) Epoch: [33][9260/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.2557 (1.8202) Prec@1 53.125 (58.750) Prec@5 72.656 (80.516) Epoch: [33][9270/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8800 (1.8202) Prec@1 56.250 (58.749) Prec@5 77.344 (80.517) Epoch: [33][9280/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8139 (1.8202) Prec@1 56.250 (58.747) Prec@5 77.344 (80.517) Epoch: [33][9290/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9586 (1.8202) Prec@1 51.562 (58.746) Prec@5 75.781 (80.515) Epoch: [33][9300/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1621 (1.8204) Prec@1 52.344 (58.743) Prec@5 76.562 (80.513) /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: [33][9310/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 1.6059 (1.8204) Prec@1 62.500 (58.741) Prec@5 81.250 (80.513) Epoch: [33][9320/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7042 (1.8205) Prec@1 53.906 (58.741) Prec@5 85.156 (80.514) Epoch: [33][9330/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.4885 (1.8205) Prec@1 61.719 (58.741) Prec@5 85.156 (80.513) Epoch: [33][9340/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6405 (1.8204) Prec@1 65.625 (58.740) Prec@5 81.250 (80.514) Epoch: [33][9350/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6873 (1.8203) Prec@1 60.938 (58.743) Prec@5 84.375 (80.516) Epoch: [33][9360/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7400 (1.8203) Prec@1 60.156 (58.742) Prec@5 78.906 (80.515) Epoch: [33][9370/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0270 (1.8204) Prec@1 55.469 (58.740) Prec@5 78.125 (80.514) Epoch: [33][9380/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0792 (1.8204) Prec@1 48.438 (58.738) Prec@5 80.469 (80.515) Epoch: [33][9390/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6809 (1.8204) Prec@1 58.594 (58.737) Prec@5 82.812 (80.516) Epoch: [33][9400/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0933 (1.8205) Prec@1 51.562 (58.736) Prec@5 81.250 (80.516) Epoch: [33][9410/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8693 (1.8204) Prec@1 53.125 (58.734) Prec@5 78.125 (80.516) Epoch: [33][9420/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.4951 (1.8204) Prec@1 65.625 (58.733) Prec@5 85.156 (80.517) Epoch: [33][9430/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9326 (1.8204) Prec@1 57.031 (58.732) Prec@5 78.906 (80.516) Epoch: [33][9440/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5666 (1.8205) Prec@1 60.156 (58.730) Prec@5 85.938 (80.517) Epoch: [33][9450/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9438 (1.8204) Prec@1 53.906 (58.731) Prec@5 80.469 (80.518) Epoch: [33][9460/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9298 (1.8204) Prec@1 56.250 (58.730) Prec@5 79.688 (80.517) Epoch: [33][9470/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6700 (1.8205) Prec@1 62.500 (58.731) Prec@5 82.031 (80.517) Epoch: [33][9480/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7578 (1.8204) Prec@1 55.469 (58.731) Prec@5 82.031 (80.518) Epoch: [33][9490/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.3675 (1.8204) Prec@1 64.844 (58.733) Prec@5 89.844 (80.520) Epoch: [33][9500/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5321 (1.8204) Prec@1 66.406 (58.733) Prec@5 81.250 (80.518) Epoch: [33][9510/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6046 (1.8203) Prec@1 62.500 (58.734) Prec@5 85.938 (80.518) Epoch: [33][9520/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6028 (1.8203) Prec@1 62.500 (58.735) Prec@5 82.812 (80.520) Epoch: [33][9530/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8703 (1.8202) Prec@1 57.031 (58.737) Prec@5 78.125 (80.521) Epoch: [33][9540/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8744 (1.8201) Prec@1 58.594 (58.740) Prec@5 78.125 (80.522) Epoch: [33][9550/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7574 (1.8202) Prec@1 56.250 (58.739) Prec@5 81.250 (80.521) Epoch: [33][9560/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9864 (1.8203) Prec@1 55.469 (58.740) Prec@5 75.000 (80.520) Epoch: [33][9570/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7485 (1.8203) Prec@1 59.375 (58.739) Prec@5 82.031 (80.521) Epoch: [33][9580/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9578 (1.8202) Prec@1 52.344 (58.739) Prec@5 77.344 (80.521) /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: [33][9590/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7052 (1.8202) Prec@1 60.938 (58.739) Prec@5 83.594 (80.523) Epoch: [33][9600/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1056 (1.8202) Prec@1 50.781 (58.738) Prec@5 74.219 (80.522) Epoch: [33][9610/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3675 (1.8204) Prec@1 49.219 (58.737) Prec@5 72.656 (80.519) Epoch: [33][9620/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6501 (1.8204) Prec@1 63.281 (58.736) Prec@5 82.812 (80.519) Epoch: [33][9630/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0396 (1.8205) Prec@1 48.438 (58.734) Prec@5 75.781 (80.517) Epoch: [33][9640/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7510 (1.8205) Prec@1 57.812 (58.733) Prec@5 82.031 (80.517) Epoch: [33][9650/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8242 (1.8206) Prec@1 56.250 (58.731) Prec@5 82.031 (80.515) Epoch: [33][9660/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.3635 (1.8205) Prec@1 62.500 (58.731) Prec@5 89.062 (80.516) Epoch: [33][9670/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7917 (1.8205) Prec@1 63.281 (58.732) Prec@5 79.688 (80.517) Epoch: [33][9680/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7061 (1.8205) Prec@1 55.469 (58.732) Prec@5 84.375 (80.516) Epoch: [33][9690/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8395 (1.8205) Prec@1 58.594 (58.734) Prec@5 78.125 (80.515) Epoch: [33][9700/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5862 (1.8204) Prec@1 64.062 (58.735) Prec@5 84.375 (80.515) Epoch: [33][9710/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7541 (1.8204) Prec@1 57.812 (58.736) Prec@5 82.812 (80.516) Epoch: [33][9720/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.7288 (1.8204) Prec@1 64.062 (58.739) Prec@5 82.031 (80.515) Epoch: [33][9730/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9318 (1.8206) Prec@1 53.906 (58.736) Prec@5 76.562 (80.513) Epoch: [33][9740/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7273 (1.8205) Prec@1 54.688 (58.735) Prec@5 85.156 (80.514) Epoch: [33][9750/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8084 (1.8206) Prec@1 60.938 (58.735) Prec@5 79.688 (80.514) Epoch: [33][9760/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7879 (1.8206) Prec@1 55.469 (58.734) Prec@5 82.031 (80.515) Epoch: [33][9770/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.5760 (1.8206) Prec@1 63.281 (58.735) Prec@5 86.719 (80.515) Epoch: [33][9780/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7513 (1.8207) Prec@1 58.594 (58.734) Prec@5 80.469 (80.514) Epoch: [33][9790/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.8895 (1.8207) Prec@1 57.812 (58.732) Prec@5 79.688 (80.514) Epoch: [33][9800/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9002 (1.8208) Prec@1 51.562 (58.730) Prec@5 78.906 (80.511) Epoch: [33][9810/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0225 (1.8209) Prec@1 57.812 (58.729) Prec@5 77.344 (80.511) Epoch: [33][9820/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8871 (1.8209) Prec@1 65.625 (58.728) Prec@5 78.906 (80.511) Epoch: [33][9830/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7065 (1.8209) Prec@1 57.812 (58.727) Prec@5 83.594 (80.509) Epoch: [33][9840/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9649 (1.8209) Prec@1 52.344 (58.727) Prec@5 77.344 (80.511) Epoch: [33][9850/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8807 (1.8209) Prec@1 57.031 (58.728) Prec@5 83.594 (80.512) Epoch: [33][9860/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0333 (1.8209) Prec@1 53.906 (58.726) Prec@5 76.562 (80.511) Epoch: [33][9870/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1880 (1.8209) Prec@1 50.781 (58.725) Prec@5 78.125 (80.512) Epoch: [33][9880/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7992 (1.8208) Prec@1 60.938 (58.728) Prec@5 81.250 (80.511) Epoch: [33][9890/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6448 (1.8208) Prec@1 57.812 (58.729) Prec@5 85.156 (80.514) Epoch: [33][9900/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8788 (1.8207) Prec@1 58.594 (58.730) Prec@5 79.688 (80.515) Epoch: [33][9910/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8954 (1.8207) Prec@1 57.812 (58.730) Prec@5 78.125 (80.515) Epoch: [33][9920/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6283 (1.8206) Prec@1 63.281 (58.732) Prec@5 82.812 (80.516) Epoch: [33][9930/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.4828 (1.8206) Prec@1 69.531 (58.734) Prec@5 86.719 (80.516) Epoch: [33][9940/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8307 (1.8206) Prec@1 64.844 (58.736) Prec@5 75.781 (80.516) Epoch: [33][9950/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0466 (1.8206) Prec@1 54.688 (58.735) Prec@5 74.219 (80.514) Epoch: [33][9960/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.3285 (1.8205) Prec@1 69.531 (58.738) Prec@5 89.062 (80.516) Epoch: [33][9970/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8058 (1.8205) Prec@1 53.125 (58.739) Prec@5 78.906 (80.515) Epoch: [33][9980/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9053 (1.8206) Prec@1 58.594 (58.738) Prec@5 78.125 (80.515) Epoch: [33][9990/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7918 (1.8207) Prec@1 61.719 (58.738) Prec@5 82.031 (80.515) Epoch: [33][10000/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8553 (1.8206) Prec@1 60.156 (58.740) Prec@5 78.906 (80.516) Test: [0/391] Time 1.582 (1.582) Loss 0.7228 (0.7228) Prec@1 83.594 (83.594) Prec@5 93.750 (93.750) Test: [10/391] Time 0.103 (0.246) Loss 1.3168 (0.7747) Prec@1 68.750 (80.753) Prec@5 87.500 (93.892) Test: [20/391] Time 0.103 (0.183) Loss 1.0375 (1.0800) Prec@1 75.781 (73.958) Prec@5 89.844 (90.662) Test: [30/391] Time 0.101 (0.157) Loss 1.9033 (1.2103) Prec@1 60.156 (70.086) Prec@5 82.031 (89.793) Test: [40/391] Time 0.105 (0.144) Loss 1.1870 (1.1043) Prec@1 72.656 (72.809) Prec@5 88.281 (90.606) Test: [50/391] Time 0.103 (0.137) Loss 0.6672 (1.1432) Prec@1 80.469 (72.028) Prec@5 92.969 (89.982) Test: [60/391] Time 0.103 (0.132) Loss 1.0177 (1.0898) Prec@1 76.562 (73.322) Prec@5 90.625 (90.535) Test: [70/391] Time 0.106 (0.129) Loss 1.4734 (1.1309) Prec@1 60.156 (72.051) Prec@5 88.281 (90.284) Test: [80/391] Time 0.098 (0.126) Loss 1.1955 (1.1546) Prec@1 67.188 (70.775) Prec@5 89.844 (90.297) Test: [90/391] Time 0.101 (0.123) Loss 1.3473 (1.1647) Prec@1 53.125 (70.355) Prec@5 91.406 (90.359) Test: [100/391] Time 0.105 (0.121) Loss 1.0603 (1.1600) Prec@1 73.438 (70.011) Prec@5 94.531 (90.633) Test: [110/391] Time 0.119 (0.120) Loss 1.4007 (1.1595) Prec@1 51.562 (69.728) Prec@5 90.625 (90.752) Test: [120/391] Time 0.108 (0.119) Loss 0.9528 (1.1517) Prec@1 74.219 (69.970) Prec@5 94.531 (90.870) Test: [130/391] Time 0.103 (0.118) Loss 0.6609 (1.1422) Prec@1 87.500 (70.342) Prec@5 94.531 (91.025) Test: [140/391] Time 0.103 (0.117) Loss 1.7560 (1.1439) Prec@1 46.094 (70.290) Prec@5 87.500 (91.046) Test: [150/391] Time 0.103 (0.116) Loss 1.4025 (1.1528) Prec@1 53.906 (70.116) Prec@5 91.406 (90.925) Test: [160/391] Time 0.100 (0.116) Loss 1.3799 (1.1651) Prec@1 58.594 (69.803) Prec@5 85.938 (90.761) Test: [170/391] Time 0.108 (0.116) Loss 1.6450 (1.1982) Prec@1 64.062 (69.243) Prec@5 87.500 (90.342) Test: [180/391] Time 0.105 (0.115) Loss 2.2898 (1.2372) Prec@1 50.781 (68.418) Prec@5 79.688 (89.805) Test: [190/391] Time 0.108 (0.114) Loss 2.3196 (1.2737) Prec@1 47.656 (67.768) Prec@5 82.812 (89.296) Test: [200/391] Time 0.110 (0.114) Loss 1.5882 (1.3081) Prec@1 63.281 (67.133) Prec@5 83.594 (88.790) Test: [210/391] Time 0.105 (0.114) Loss 1.5577 (1.3281) Prec@1 64.062 (66.777) Prec@5 85.938 (88.500) Test: [220/391] Time 0.112 (0.114) Loss 0.7083 (1.3398) Prec@1 82.812 (66.611) Prec@5 95.312 (88.260) Test: [230/391] Time 0.109 (0.114) Loss 2.4502 (1.3546) Prec@1 52.344 (66.416) Prec@5 72.656 (88.051) Test: [240/391] Time 0.110 (0.113) Loss 1.6315 (1.3653) Prec@1 61.719 (66.325) Prec@5 84.375 (87.850) Test: [250/391] Time 0.098 (0.113) Loss 1.1997 (1.3920) Prec@1 72.656 (65.793) Prec@5 88.281 (87.516) Test: [260/391] Time 0.106 (0.113) Loss 1.6586 (1.4103) Prec@1 62.500 (65.478) Prec@5 81.250 (87.276) Test: [270/391] Time 0.101 (0.112) Loss 2.5362 (1.4283) Prec@1 39.062 (65.089) Prec@5 74.219 (86.996) Test: [280/391] Time 0.104 (0.112) Loss 1.4915 (1.4406) Prec@1 58.594 (64.844) Prec@5 87.500 (86.852) Test: [290/391] Time 0.111 (0.112) Loss 1.9231 (1.4546) Prec@1 42.969 (64.597) Prec@5 86.719 (86.630) Test: [300/391] Time 0.107 (0.112) Loss 1.6612 (1.4690) Prec@1 71.875 (64.364) Prec@5 84.375 (86.418) Test: [310/391] Time 0.105 (0.112) Loss 1.7238 (1.4811) Prec@1 61.719 (64.188) Prec@5 82.031 (86.224) Test: [320/391] Time 0.107 (0.111) Loss 0.8291 (1.4876) Prec@1 82.812 (64.065) Prec@5 94.531 (86.137) Test: [330/391] Time 0.111 (0.111) Loss 2.3074 (1.5103) Prec@1 43.750 (63.590) Prec@5 72.656 (85.768) Test: [340/391] Time 0.106 (0.111) Loss 1.1976 (1.5150) Prec@1 67.969 (63.432) Prec@5 92.969 (85.697) Test: [350/391] Time 0.102 (0.111) Loss 1.8375 (1.5230) Prec@1 58.594 (63.315) Prec@5 84.375 (85.557) Test: [360/391] Time 0.102 (0.111) Loss 1.6331 (1.5328) Prec@1 57.031 (63.156) Prec@5 85.938 (85.440) Test: [370/391] Time 0.108 (0.111) Loss 1.3444 (1.5260) Prec@1 64.844 (63.267) Prec@5 92.188 (85.529) Test: [380/391] Time 0.105 (0.111) Loss 1.0390 (1.5266) Prec@1 78.125 (63.259) Prec@5 92.188 (85.511) Test: [390/391] Time 0.073 (0.111) Loss 2.2339 (1.5191) Prec@1 48.750 (63.416) Prec@5 73.750 (85.612) * Prec@1 63.416 Prec@5 85.612 Epoch: [34][0/10010] Time 2.921 (2.921) Data 2.745 (2.745) Loss 2.0383 (2.0383) Prec@1 63.281 (63.281) Prec@5 77.344 (77.344) Epoch: [34][10/10010] Time 0.332 (0.558) Data 0.000 (0.250) Loss 1.8315 (1.9109) Prec@1 64.062 (59.801) Prec@5 79.688 (79.474) Epoch: [34][20/10010] Time 0.324 (0.446) Data 0.000 (0.131) Loss 1.8498 (1.8364) Prec@1 55.469 (60.193) Prec@5 79.688 (80.618) Epoch: [34][30/10010] Time 0.326 (0.405) Data 0.001 (0.089) Loss 1.6653 (1.8281) Prec@1 64.062 (60.030) Prec@5 84.375 (80.595) Epoch: [34][40/10010] Time 0.322 (0.385) Data 0.001 (0.067) Loss 1.7044 (1.8191) Prec@1 58.594 (59.508) Prec@5 79.688 (80.640) Epoch: [34][50/10010] Time 0.321 (0.372) Data 0.001 (0.054) Loss 2.1111 (1.8304) Prec@1 50.000 (58.885) Prec@5 77.344 (80.683) Epoch: [34][60/10010] Time 0.317 (0.364) Data 0.001 (0.046) Loss 1.8425 (1.8331) Prec@1 61.719 (58.888) Prec@5 78.125 (80.597) Epoch: [34][70/10010] Time 0.332 (0.359) Data 0.001 (0.039) Loss 1.7177 (1.8347) Prec@1 59.375 (58.649) Prec@5 81.250 (80.491) /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: [34][80/10010] Time 0.335 (0.356) Data 0.000 (0.034) Loss 1.7371 (1.8180) Prec@1 54.688 (58.767) Prec@5 84.375 (80.652) Epoch: [34][90/10010] Time 0.323 (0.352) Data 0.000 (0.031) Loss 1.7156 (1.8068) Prec@1 62.500 (58.860) Prec@5 82.812 (80.915) Epoch: [34][100/10010] Time 0.328 (0.351) Data 0.001 (0.028) Loss 1.7189 (1.8080) Prec@1 60.156 (58.718) Prec@5 82.812 (80.894) Epoch: [34][110/10010] Time 0.327 (0.348) Data 0.000 (0.025) Loss 1.4883 (1.8016) Prec@1 63.281 (58.805) Prec@5 87.500 (80.976) Epoch: [34][120/10010] Time 0.334 (0.347) Data 0.000 (0.023) Loss 1.6834 (1.7910) Prec@1 61.719 (59.033) Prec@5 83.594 (81.095) Epoch: [34][130/10010] Time 0.330 (0.346) Data 0.001 (0.022) Loss 1.6706 (1.7933) Prec@1 60.938 (59.035) Prec@5 83.594 (81.095) Epoch: [34][140/10010] Time 0.333 (0.345) Data 0.001 (0.020) Loss 1.9120 (1.7930) Prec@1 53.906 (59.026) Prec@5 80.469 (81.084) Epoch: [34][150/10010] Time 0.331 (0.344) Data 0.001 (0.019) Loss 1.4126 (1.7870) Prec@1 63.281 (59.153) Prec@5 86.719 (81.136) Epoch: [34][160/10010] Time 0.316 (0.343) Data 0.001 (0.018) Loss 1.7895 (1.7890) Prec@1 60.156 (59.195) Prec@5 78.906 (81.090) Epoch: [34][170/10010] Time 0.328 (0.342) Data 0.000 (0.017) Loss 1.8538 (1.7905) Prec@1 60.156 (59.192) Prec@5 79.688 (81.040) Epoch: [34][180/10010] Time 0.347 (0.342) Data 0.000 (0.016) Loss 2.1124 (1.7940) Prec@1 50.781 (59.107) Prec@5 74.219 (80.926) Epoch: [34][190/10010] Time 0.323 (0.341) Data 0.000 (0.015) Loss 1.6983 (1.7934) Prec@1 64.844 (59.187) Prec@5 85.938 (80.980) Epoch: [34][200/10010] Time 0.318 (0.341) Data 0.001 (0.014) Loss 1.9838 (1.7945) Prec@1 54.688 (59.200) Prec@5 78.906 (81.009) Epoch: [34][210/10010] Time 0.322 (0.340) Data 0.000 (0.014) Loss 1.9778 (1.7962) Prec@1 57.031 (59.186) Prec@5 77.344 (80.969) Epoch: [34][220/10010] Time 0.333 (0.340) Data 0.000 (0.013) Loss 1.4982 (1.7967) Prec@1 63.281 (59.152) Prec@5 84.375 (80.907) Epoch: [34][230/10010] Time 0.345 (0.340) Data 0.000 (0.012) Loss 1.7078 (1.7899) Prec@1 57.031 (59.267) Prec@5 82.812 (81.044) Epoch: [34][240/10010] Time 0.342 (0.339) Data 0.001 (0.012) Loss 1.8647 (1.7844) Prec@1 61.719 (59.352) Prec@5 80.469 (81.150) Epoch: [34][250/10010] Time 0.331 (0.339) Data 0.001 (0.011) Loss 1.9038 (1.7869) Prec@1 56.250 (59.266) Prec@5 76.562 (81.104) Epoch: [34][260/10010] Time 0.317 (0.339) Data 0.000 (0.011) Loss 2.2817 (1.7893) Prec@1 51.562 (59.246) Prec@5 74.219 (81.031) Epoch: [34][270/10010] Time 0.328 (0.338) Data 0.001 (0.011) Loss 1.6720 (1.7891) Prec@1 61.719 (59.228) Prec@5 84.375 (81.002) Epoch: [34][280/10010] Time 0.345 (0.338) Data 0.000 (0.010) Loss 1.9456 (1.7871) Prec@1 56.250 (59.300) Prec@5 81.250 (81.039) Epoch: [34][290/10010] Time 0.326 (0.338) Data 0.001 (0.010) Loss 1.8447 (1.7865) Prec@1 59.375 (59.313) Prec@5 80.469 (81.041) Epoch: [34][300/10010] Time 0.343 (0.337) Data 0.000 (0.010) Loss 1.4262 (1.7854) Prec@1 66.406 (59.349) Prec@5 84.375 (81.061) Epoch: [34][310/10010] Time 0.341 (0.337) Data 0.000 (0.009) Loss 1.7329 (1.7852) Prec@1 63.281 (59.322) Prec@5 84.375 (81.087) Epoch: [34][320/10010] Time 0.322 (0.337) Data 0.000 (0.009) Loss 1.7156 (1.7826) Prec@1 65.625 (59.426) Prec@5 79.688 (81.106) Epoch: [34][330/10010] Time 0.339 (0.337) Data 0.001 (0.009) Loss 1.5717 (1.7834) Prec@1 64.844 (59.434) Prec@5 85.156 (81.097) Epoch: [34][340/10010] Time 0.326 (0.337) Data 0.001 (0.009) Loss 1.5404 (1.7837) Prec@1 65.625 (59.398) Prec@5 85.156 (81.108) Epoch: [34][350/10010] Time 0.326 (0.337) Data 0.000 (0.008) Loss 1.8201 (1.7842) Prec@1 57.812 (59.382) Prec@5 78.125 (81.070) Epoch: [34][360/10010] Time 0.328 (0.337) Data 0.000 (0.008) Loss 1.9000 (1.7851) Prec@1 59.375 (59.388) Prec@5 77.344 (81.077) Epoch: [34][370/10010] Time 0.330 (0.337) Data 0.001 (0.008) Loss 1.6007 (1.7848) Prec@1 64.062 (59.413) Prec@5 86.719 (81.092) Epoch: [34][380/10010] Time 0.328 (0.337) Data 0.001 (0.008) Loss 1.3572 (1.7818) Prec@1 69.531 (59.510) Prec@5 83.594 (81.147) Epoch: [34][390/10010] Time 0.335 (0.337) Data 0.000 (0.008) Loss 1.9487 (1.7806) Prec@1 57.031 (59.581) Prec@5 77.344 (81.152) Epoch: [34][400/10010] Time 0.325 (0.337) Data 0.000 (0.007) Loss 1.6706 (1.7809) Prec@1 65.625 (59.578) Prec@5 81.250 (81.155) Epoch: [34][410/10010] Time 0.336 (0.336) Data 0.001 (0.007) Loss 1.5878 (1.7792) Prec@1 58.594 (59.616) Prec@5 82.031 (81.185) Epoch: [34][420/10010] Time 0.329 (0.336) Data 0.001 (0.007) Loss 1.9095 (1.7782) Prec@1 60.156 (59.653) Prec@5 80.469 (81.220) Epoch: [34][430/10010] Time 0.338 (0.336) Data 0.001 (0.007) Loss 1.6176 (1.7782) Prec@1 67.188 (59.681) Prec@5 85.156 (81.210) Epoch: [34][440/10010] Time 0.331 (0.336) Data 0.000 (0.007) Loss 1.4476 (1.7793) Prec@1 67.969 (59.655) Prec@5 87.500 (81.206) Epoch: [34][450/10010] Time 0.343 (0.336) Data 0.000 (0.007) Loss 1.9341 (1.7803) Prec@1 53.125 (59.595) Prec@5 76.562 (81.174) Epoch: [34][460/10010] Time 0.325 (0.336) Data 0.000 (0.007) Loss 1.7976 (1.7809) Prec@1 61.719 (59.611) Prec@5 82.031 (81.169) Epoch: [34][470/10010] Time 0.343 (0.336) Data 0.001 (0.006) Loss 1.9637 (1.7827) Prec@1 54.688 (59.584) Prec@5 79.688 (81.136) Epoch: [34][480/10010] Time 0.336 (0.336) Data 0.001 (0.006) Loss 1.5182 (1.7814) Prec@1 68.750 (59.602) Prec@5 85.938 (81.144) Epoch: [34][490/10010] Time 0.324 (0.336) Data 0.001 (0.006) Loss 1.9337 (1.7823) Prec@1 56.250 (59.580) Prec@5 78.125 (81.113) Epoch: [34][500/10010] Time 0.326 (0.335) Data 0.000 (0.006) Loss 1.9359 (1.7825) Prec@1 54.688 (59.548) Prec@5 81.250 (81.138) Epoch: [34][510/10010] Time 0.324 (0.335) Data 0.000 (0.006) Loss 1.4936 (1.7819) Prec@1 64.844 (59.545) Prec@5 84.375 (81.143) Epoch: [34][520/10010] Time 0.334 (0.335) Data 0.000 (0.006) Loss 1.5703 (1.7807) Prec@1 64.062 (59.580) Prec@5 82.031 (81.156) Epoch: [34][530/10010] Time 0.334 (0.335) Data 0.001 (0.006) Loss 1.6218 (1.7815) Prec@1 62.500 (59.560) Prec@5 83.594 (81.140) Epoch: [34][540/10010] Time 0.324 (0.335) Data 0.001 (0.006) Loss 1.7383 (1.7827) Prec@1 60.938 (59.527) Prec@5 78.906 (81.113) Epoch: [34][550/10010] Time 0.324 (0.335) Data 0.001 (0.006) Loss 1.9271 (1.7841) Prec@1 60.938 (59.511) Prec@5 76.562 (81.103) Epoch: [34][560/10010] Time 0.345 (0.335) Data 0.000 (0.005) Loss 2.1473 (1.7855) Prec@1 56.250 (59.488) Prec@5 77.344 (81.075) Epoch: [34][570/10010] Time 0.335 (0.335) Data 0.000 (0.005) Loss 2.0106 (1.7877) Prec@1 47.656 (59.416) Prec@5 76.562 (81.031) Epoch: [34][580/10010] Time 0.325 (0.334) Data 0.001 (0.005) Loss 1.8190 (1.7853) Prec@1 64.062 (59.444) Prec@5 82.812 (81.091) Epoch: [34][590/10010] Time 0.316 (0.334) Data 0.001 (0.005) Loss 2.0552 (1.7857) Prec@1 52.344 (59.429) Prec@5 76.562 (81.078) Epoch: [34][600/10010] Time 0.323 (0.334) Data 0.001 (0.005) Loss 1.9994 (1.7847) Prec@1 53.125 (59.448) Prec@5 80.469 (81.088) Epoch: [34][610/10010] Time 0.340 (0.334) Data 0.000 (0.005) Loss 1.5237 (1.7847) Prec@1 65.625 (59.438) Prec@5 84.375 (81.114) Epoch: [34][620/10010] Time 0.324 (0.334) Data 0.000 (0.005) Loss 1.5702 (1.7835) Prec@1 64.062 (59.457) Prec@5 84.375 (81.134) Epoch: [34][630/10010] Time 0.319 (0.334) Data 0.001 (0.005) Loss 1.6209 (1.7831) Prec@1 62.500 (59.465) Prec@5 82.031 (81.131) Epoch: [34][640/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 2.1200 (1.7831) Prec@1 55.469 (59.469) Prec@5 77.344 (81.149) Epoch: [34][650/10010] Time 0.322 (0.334) Data 0.001 (0.005) Loss 1.8576 (1.7823) Prec@1 57.812 (59.478) Prec@5 78.125 (81.160) Epoch: [34][660/10010] Time 0.334 (0.334) Data 0.000 (0.005) Loss 1.4965 (1.7827) Prec@1 66.406 (59.471) Prec@5 84.375 (81.148) Epoch: [34][670/10010] Time 0.346 (0.334) Data 0.000 (0.005) Loss 1.6696 (1.7830) Prec@1 64.844 (59.482) Prec@5 80.469 (81.149) Epoch: [34][680/10010] Time 0.331 (0.334) Data 0.000 (0.005) Loss 1.4529 (1.7829) Prec@1 67.969 (59.479) Prec@5 85.156 (81.151) Epoch: [34][690/10010] Time 0.320 (0.334) Data 0.001 (0.005) Loss 1.6982 (1.7831) Prec@1 64.062 (59.465) Prec@5 82.812 (81.158) Epoch: [34][700/10010] Time 0.342 (0.334) Data 0.000 (0.004) Loss 1.6618 (1.7831) Prec@1 57.812 (59.473) Prec@5 81.250 (81.160) Epoch: [34][710/10010] Time 0.336 (0.334) Data 0.000 (0.004) Loss 1.3536 (1.7833) Prec@1 62.500 (59.461) Prec@5 89.844 (81.156) Epoch: [34][720/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.0647 (1.7834) Prec@1 54.688 (59.449) Prec@5 76.562 (81.164) Epoch: [34][730/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 1.8150 (1.7821) Prec@1 57.812 (59.474) Prec@5 76.562 (81.188) Epoch: [34][740/10010] Time 0.345 (0.334) Data 0.000 (0.004) Loss 1.6011 (1.7819) Prec@1 65.625 (59.491) Prec@5 80.469 (81.177) Epoch: [34][750/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 1.7912 (1.7822) Prec@1 52.344 (59.492) Prec@5 79.688 (81.167) Epoch: [34][760/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 1.6386 (1.7826) Prec@1 62.500 (59.503) Prec@5 84.375 (81.155) Epoch: [34][770/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 1.7526 (1.7818) Prec@1 60.156 (59.502) Prec@5 78.125 (81.168) Epoch: [34][780/10010] Time 0.337 (0.334) Data 0.000 (0.004) Loss 1.8302 (1.7821) Prec@1 58.594 (59.518) Prec@5 80.469 (81.166) Epoch: [34][790/10010] Time 0.326 (0.333) Data 0.001 (0.004) Loss 1.9115 (1.7816) Prec@1 60.156 (59.517) Prec@5 78.906 (81.166) Epoch: [34][800/10010] Time 0.341 (0.333) Data 0.000 (0.004) Loss 2.1818 (1.7818) Prec@1 56.250 (59.513) Prec@5 71.094 (81.153) Epoch: [34][810/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 1.4039 (1.7805) Prec@1 65.625 (59.531) Prec@5 85.156 (81.170) Epoch: [34][820/10010] Time 0.334 (0.333) Data 0.000 (0.004) Loss 1.5855 (1.7797) Prec@1 61.719 (59.551) Prec@5 85.938 (81.189) Epoch: [34][830/10010] Time 0.336 (0.333) Data 0.000 (0.004) Loss 2.0488 (1.7793) Prec@1 50.781 (59.541) Prec@5 75.000 (81.205) Epoch: [34][840/10010] Time 0.333 (0.333) Data 0.001 (0.004) Loss 1.8394 (1.7798) Prec@1 54.688 (59.529) Prec@5 82.031 (81.193) Epoch: [34][850/10010] Time 0.315 (0.333) Data 0.001 (0.004) Loss 1.8011 (1.7814) Prec@1 56.250 (59.495) Prec@5 83.594 (81.167) Epoch: [34][860/10010] Time 0.333 (0.333) Data 0.000 (0.004) Loss 1.7118 (1.7820) Prec@1 59.375 (59.483) Prec@5 81.250 (81.166) Epoch: [34][870/10010] Time 0.328 (0.333) Data 0.000 (0.004) Loss 2.1220 (1.7823) Prec@1 47.656 (59.462) Prec@5 77.344 (81.168) Epoch: [34][880/10010] Time 0.344 (0.333) Data 0.000 (0.004) Loss 1.5042 (1.7821) Prec@1 65.625 (59.477) Prec@5 82.812 (81.157) Epoch: [34][890/10010] Time 0.320 (0.333) Data 0.000 (0.004) Loss 2.1748 (1.7835) Prec@1 54.688 (59.460) Prec@5 76.562 (81.135) Epoch: [34][900/10010] Time 0.319 (0.333) Data 0.001 (0.004) Loss 1.7438 (1.7846) Prec@1 53.906 (59.446) Prec@5 78.125 (81.115) Epoch: [34][910/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 1.9010 (1.7840) Prec@1 58.594 (59.439) Prec@5 74.219 (81.121) Epoch: [34][920/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 1.5797 (1.7830) Prec@1 63.281 (59.443) Prec@5 85.938 (81.147) Epoch: [34][930/10010] Time 0.341 (0.333) Data 0.000 (0.004) Loss 2.0011 (1.7837) Prec@1 50.000 (59.418) Prec@5 74.219 (81.126) Epoch: [34][940/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 1.9949 (1.7845) Prec@1 54.688 (59.417) Prec@5 77.344 (81.110) Epoch: [34][950/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.9716 (1.7854) Prec@1 58.594 (59.405) Prec@5 75.781 (81.101) Epoch: [34][960/10010] Time 0.350 (0.333) Data 0.001 (0.003) Loss 1.8154 (1.7856) Prec@1 60.938 (59.388) Prec@5 82.812 (81.105) Epoch: [34][970/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.5965 (1.7857) Prec@1 64.844 (59.382) Prec@5 85.156 (81.107) Epoch: [34][980/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 1.7029 (1.7862) Prec@1 58.594 (59.387) Prec@5 82.812 (81.101) Epoch: [34][990/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 1.5771 (1.7862) Prec@1 67.969 (59.395) Prec@5 85.156 (81.105) Epoch: [34][1000/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 1.4473 (1.7859) Prec@1 64.062 (59.404) Prec@5 87.500 (81.118) Epoch: [34][1010/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 1.9589 (1.7861) Prec@1 57.812 (59.398) Prec@5 82.031 (81.109) Epoch: [34][1020/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 1.6588 (1.7867) Prec@1 65.625 (59.381) Prec@5 87.500 (81.107) Epoch: [34][1030/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 1.8122 (1.7867) Prec@1 58.594 (59.371) Prec@5 81.250 (81.103) Epoch: [34][1040/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 1.9137 (1.7866) Prec@1 57.031 (59.365) Prec@5 77.344 (81.100) Epoch: [34][1050/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.9584 (1.7870) Prec@1 54.688 (59.343) Prec@5 78.125 (81.104) Epoch: [34][1060/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.9032 (1.7882) Prec@1 59.375 (59.307) Prec@5 78.125 (81.077) Epoch: [34][1070/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 1.7425 (1.7881) Prec@1 63.281 (59.314) Prec@5 78.906 (81.076) Epoch: [34][1080/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 1.9506 (1.7891) Prec@1 55.469 (59.301) Prec@5 75.781 (81.056) Epoch: [34][1090/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.8707 (1.7890) Prec@1 63.281 (59.314) Prec@5 78.125 (81.057) Epoch: [34][1100/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.9729 (1.7894) Prec@1 55.469 (59.312) Prec@5 78.906 (81.051) Epoch: [34][1110/10010] Time 0.344 (0.333) Data 0.000 (0.003) Loss 2.0434 (1.7901) Prec@1 51.562 (59.289) Prec@5 78.906 (81.039) Epoch: [34][1120/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 1.6391 (1.7906) Prec@1 64.844 (59.272) Prec@5 78.906 (81.028) Epoch: [34][1130/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.8967 (1.7896) Prec@1 54.688 (59.283) Prec@5 80.469 (81.044) Epoch: [34][1140/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 1.9001 (1.7896) Prec@1 56.250 (59.287) Prec@5 78.906 (81.048) Epoch: [34][1150/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.1241 (1.7892) Prec@1 51.562 (59.311) Prec@5 77.344 (81.054) Epoch: [34][1160/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.8970 (1.7894) Prec@1 60.156 (59.306) Prec@5 80.469 (81.045) Epoch: [34][1170/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.8123 (1.7888) Prec@1 60.156 (59.299) Prec@5 78.906 (81.053) Epoch: [34][1180/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.8015 (1.7893) Prec@1 62.500 (59.305) Prec@5 82.031 (81.048) Epoch: [34][1190/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 1.9123 (1.7888) Prec@1 62.500 (59.327) Prec@5 79.688 (81.051) Epoch: [34][1200/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 1.8173 (1.7883) Prec@1 55.469 (59.337) Prec@5 78.906 (81.061) Epoch: [34][1210/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.1583 (1.7882) Prec@1 57.031 (59.331) Prec@5 72.656 (81.068) Epoch: [34][1220/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 1.4506 (1.7885) Prec@1 63.281 (59.323) Prec@5 85.156 (81.069) Epoch: [34][1230/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 1.5895 (1.7887) Prec@1 60.938 (59.317) Prec@5 84.375 (81.066) Epoch: [34][1240/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 2.1015 (1.7886) Prec@1 50.000 (59.327) Prec@5 78.125 (81.064) Epoch: [34][1250/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 1.8373 (1.7884) Prec@1 60.938 (59.339) Prec@5 78.906 (81.064) Epoch: [34][1260/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 1.7307 (1.7886) Prec@1 60.938 (59.332) Prec@5 81.250 (81.055) Epoch: [34][1270/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 1.8752 (1.7895) Prec@1 61.719 (59.318) Prec@5 82.031 (81.042) Epoch: [34][1280/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 1.7191 (1.7898) Prec@1 62.500 (59.315) Prec@5 86.719 (81.040) Epoch: [34][1290/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.1215 (1.7892) Prec@1 52.344 (59.331) Prec@5 75.000 (81.048) Epoch: [34][1300/10010] Time 0.317 (0.332) Data 0.001 (0.003) Loss 1.9209 (1.7897) Prec@1 58.594 (59.326) Prec@5 78.906 (81.040) Epoch: [34][1310/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 1.5718 (1.7895) Prec@1 62.500 (59.328) Prec@5 85.938 (81.036) Epoch: [34][1320/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 1.7737 (1.7902) Prec@1 60.156 (59.318) Prec@5 81.250 (81.024) Epoch: [34][1330/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 2.1900 (1.7915) Prec@1 55.469 (59.307) Prec@5 74.219 (81.005) Epoch: [34][1340/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 1.4853 (1.7919) Prec@1 60.938 (59.300) Prec@5 84.375 (81.001) Epoch: [34][1350/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 2.0845 (1.7918) Prec@1 57.812 (59.313) Prec@5 74.219 (80.999) Epoch: [34][1360/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 1.7608 (1.7914) Prec@1 59.375 (59.332) Prec@5 77.344 (80.996) Epoch: [34][1370/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 1.4518 (1.7912) Prec@1 62.500 (59.331) Prec@5 85.156 (80.998) Epoch: [34][1380/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 1.5852 (1.7910) Prec@1 66.406 (59.333) Prec@5 83.594 (80.998) Epoch: [34][1390/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 1.6851 (1.7914) Prec@1 61.719 (59.317) Prec@5 82.812 (80.996) Epoch: [34][1400/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 2.1055 (1.7918) Prec@1 57.031 (59.318) Prec@5 78.125 (80.988) Epoch: [34][1410/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 1.9886 (1.7915) Prec@1 60.156 (59.331) Prec@5 78.906 (80.996) Epoch: [34][1420/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.0668 (1.7913) Prec@1 60.156 (59.339) Prec@5 76.562 (80.998) Epoch: [34][1430/10010] Time 0.314 (0.332) Data 0.000 (0.002) Loss 1.8113 (1.7917) Prec@1 63.281 (59.341) Prec@5 83.594 (80.987) Epoch: [34][1440/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7379 (1.7921) Prec@1 59.375 (59.331) Prec@5 83.594 (80.978) Epoch: [34][1450/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.4971 (1.7916) Prec@1 67.188 (59.336) Prec@5 86.719 (80.995) Epoch: [34][1460/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9877 (1.7923) Prec@1 57.031 (59.316) Prec@5 75.781 (80.982) Epoch: [34][1470/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8338 (1.7926) Prec@1 57.812 (59.305) Prec@5 81.250 (80.977) Epoch: [34][1480/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7037 (1.7929) Prec@1 56.250 (59.292) Prec@5 85.156 (80.975) Epoch: [34][1490/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.7658 (1.7928) Prec@1 60.156 (59.292) Prec@5 83.594 (80.974) Epoch: [34][1500/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.8408 (1.7927) Prec@1 56.250 (59.293) Prec@5 79.688 (80.974) Epoch: [34][1510/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.5638 (1.7927) Prec@1 64.844 (59.300) Prec@5 82.812 (80.976) Epoch: [34][1520/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.5079 (1.7929) Prec@1 60.156 (59.297) Prec@5 83.594 (80.973) Epoch: [34][1530/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.6732 (1.7930) Prec@1 56.250 (59.288) Prec@5 82.031 (80.969) Epoch: [34][1540/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.9903 (1.7934) Prec@1 54.688 (59.282) Prec@5 74.219 (80.962) Epoch: [34][1550/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.9467 (1.7931) Prec@1 53.125 (59.276) Prec@5 77.344 (80.967) Epoch: [34][1560/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.7005 (1.7933) Prec@1 66.406 (59.270) Prec@5 78.906 (80.958) Epoch: [34][1570/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.3952 (1.7928) Prec@1 68.750 (59.277) Prec@5 88.281 (80.970) Epoch: [34][1580/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.4198 (1.7929) Prec@1 66.406 (59.276) Prec@5 89.062 (80.971) Epoch: [34][1590/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.9191 (1.7929) Prec@1 53.125 (59.267) Prec@5 76.562 (80.967) Epoch: [34][1600/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.9675 (1.7932) Prec@1 56.250 (59.261) Prec@5 78.906 (80.962) Epoch: [34][1610/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7508 (1.7934) Prec@1 57.812 (59.255) Prec@5 82.031 (80.960) Epoch: [34][1620/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7889 (1.7934) Prec@1 59.375 (59.256) Prec@5 85.156 (80.958) Epoch: [34][1630/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.6782 (1.7931) Prec@1 57.812 (59.258) Prec@5 80.469 (80.960) Epoch: [34][1640/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.9058 (1.7928) Prec@1 55.469 (59.269) Prec@5 77.344 (80.959) Epoch: [34][1650/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.8199 (1.7930) Prec@1 63.281 (59.269) Prec@5 84.375 (80.957) Epoch: [34][1660/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9016 (1.7929) Prec@1 60.156 (59.276) Prec@5 80.469 (80.959) Epoch: [34][1670/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.1362 (1.7929) Prec@1 53.125 (59.265) Prec@5 75.000 (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: [34][1680/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.6515 (1.7927) Prec@1 60.938 (59.265) Prec@5 82.812 (80.965) Epoch: [34][1690/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7621 (1.7927) Prec@1 60.938 (59.269) Prec@5 83.594 (80.965) Epoch: [34][1700/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.5476 (1.7928) Prec@1 58.594 (59.256) Prec@5 82.031 (80.961) Epoch: [34][1710/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8556 (1.7928) Prec@1 57.812 (59.260) Prec@5 78.906 (80.947) Epoch: [34][1720/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.8221 (1.7921) Prec@1 53.125 (59.271) Prec@5 80.469 (80.959) Epoch: [34][1730/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.0471 (1.7921) Prec@1 52.344 (59.265) Prec@5 78.906 (80.956) Epoch: [34][1740/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.2434 (1.7920) Prec@1 47.656 (59.263) Prec@5 75.781 (80.955) Epoch: [34][1750/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.5549 (1.7922) Prec@1 59.375 (59.256) Prec@5 85.938 (80.952) Epoch: [34][1760/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.1312 (1.7926) Prec@1 53.125 (59.243) Prec@5 75.000 (80.945) Epoch: [34][1770/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.1060 (1.7918) Prec@1 51.562 (59.259) Prec@5 78.906 (80.951) Epoch: [34][1780/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.9964 (1.7918) Prec@1 53.125 (59.261) Prec@5 75.000 (80.949) Epoch: [34][1790/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.9929 (1.7922) Prec@1 52.344 (59.256) Prec@5 78.125 (80.950) Epoch: [34][1800/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7195 (1.7920) Prec@1 59.375 (59.257) Prec@5 80.469 (80.948) Epoch: [34][1810/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.8533 (1.7924) Prec@1 57.812 (59.253) Prec@5 79.688 (80.942) Epoch: [34][1820/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.6981 (1.7922) Prec@1 60.156 (59.258) Prec@5 81.250 (80.943) Epoch: [34][1830/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.7364 (1.7915) Prec@1 58.594 (59.267) Prec@5 81.250 (80.952) Epoch: [34][1840/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.6989 (1.7920) Prec@1 64.062 (59.262) Prec@5 84.375 (80.943) Epoch: [34][1850/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.2238 (1.7927) Prec@1 53.906 (59.256) Prec@5 70.312 (80.933) Epoch: [34][1860/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7281 (1.7926) Prec@1 54.688 (59.251) Prec@5 81.250 (80.927) Epoch: [34][1870/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.0101 (1.7928) Prec@1 57.031 (59.246) Prec@5 78.125 (80.922) Epoch: [34][1880/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.8473 (1.7928) Prec@1 55.469 (59.246) Prec@5 80.469 (80.924) Epoch: [34][1890/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.6784 (1.7931) Prec@1 59.375 (59.239) Prec@5 84.375 (80.920) Epoch: [34][1900/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.0394 (1.7933) Prec@1 50.781 (59.236) Prec@5 77.344 (80.918) Epoch: [34][1910/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.9241 (1.7931) Prec@1 60.938 (59.245) Prec@5 78.906 (80.920) Epoch: [34][1920/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.5223 (1.7925) Prec@1 63.281 (59.262) Prec@5 86.719 (80.929) Epoch: [34][1930/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.8505 (1.7927) Prec@1 54.688 (59.252) Prec@5 81.250 (80.930) Epoch: [34][1940/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7108 (1.7927) Prec@1 60.156 (59.253) Prec@5 78.906 (80.930) Epoch: [34][1950/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.5595 (1.7923) Prec@1 60.156 (59.266) Prec@5 85.938 (80.934) Epoch: [34][1960/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.6908 (1.7922) Prec@1 62.500 (59.270) Prec@5 82.812 (80.932) Epoch: [34][1970/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.8302 (1.7924) Prec@1 55.469 (59.264) Prec@5 78.906 (80.934) Epoch: [34][1980/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.6759 (1.7922) Prec@1 60.156 (59.271) Prec@5 85.938 (80.935) Epoch: [34][1990/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.6543 (1.7918) Prec@1 57.812 (59.273) Prec@5 82.812 (80.942) Epoch: [34][2000/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.6102 (1.7919) Prec@1 61.719 (59.276) Prec@5 80.469 (80.939) Epoch: [34][2010/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.4683 (1.7912) Prec@1 67.188 (59.296) Prec@5 83.594 (80.950) Epoch: [34][2020/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.9480 (1.7910) Prec@1 56.250 (59.305) Prec@5 82.812 (80.963) Epoch: [34][2030/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.2816 (1.7911) Prec@1 53.906 (59.311) Prec@5 78.125 (80.966) Epoch: [34][2040/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.9303 (1.7909) Prec@1 54.688 (59.310) Prec@5 82.031 (80.972) Epoch: [34][2050/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.0428 (1.7912) Prec@1 50.781 (59.303) Prec@5 76.562 (80.971) Epoch: [34][2060/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.6234 (1.7913) Prec@1 63.281 (59.304) Prec@5 83.594 (80.967) /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: [34][2070/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.9843 (1.7916) Prec@1 55.469 (59.296) Prec@5 81.250 (80.963) Epoch: [34][2080/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.1627 (1.7918) Prec@1 51.562 (59.282) Prec@5 75.781 (80.956) Epoch: [34][2090/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.9687 (1.7915) Prec@1 61.719 (59.291) Prec@5 75.000 (80.956) Epoch: [34][2100/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.4983 (1.7916) Prec@1 60.938 (59.281) Prec@5 86.719 (80.952) Epoch: [34][2110/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.8610 (1.7917) Prec@1 51.562 (59.279) Prec@5 81.250 (80.953) Epoch: [34][2120/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.9576 (1.7918) Prec@1 53.906 (59.273) Prec@5 75.781 (80.948) Epoch: [34][2130/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.9003 (1.7917) Prec@1 56.250 (59.275) Prec@5 78.125 (80.949) Epoch: [34][2140/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.8958 (1.7917) Prec@1 56.250 (59.276) Prec@5 77.344 (80.949) Epoch: [34][2150/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.6203 (1.7914) Prec@1 54.688 (59.273) Prec@5 83.594 (80.955) Epoch: [34][2160/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.9407 (1.7918) Prec@1 53.906 (59.268) Prec@5 82.031 (80.948) Epoch: [34][2170/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7937 (1.7916) Prec@1 57.031 (59.268) Prec@5 80.469 (80.950) Epoch: [34][2180/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.6425 (1.7915) Prec@1 62.500 (59.277) Prec@5 86.719 (80.952) Epoch: [34][2190/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 1.6338 (1.7911) Prec@1 60.156 (59.284) Prec@5 84.375 (80.962) Epoch: [34][2200/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8620 (1.7909) Prec@1 52.344 (59.287) Prec@5 80.469 (80.971) Epoch: [34][2210/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.6062 (1.7911) Prec@1 63.281 (59.286) Prec@5 83.594 (80.972) Epoch: [34][2220/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.7785 (1.7907) Prec@1 58.594 (59.294) Prec@5 78.125 (80.976) Epoch: [34][2230/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.8169 (1.7906) Prec@1 57.031 (59.294) Prec@5 81.250 (80.978) Epoch: [34][2240/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9314 (1.7908) Prec@1 58.594 (59.300) Prec@5 78.125 (80.975) Epoch: [34][2250/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 1.6694 (1.7910) Prec@1 63.281 (59.302) Prec@5 82.812 (80.970) Epoch: [34][2260/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.1418 (1.7912) Prec@1 50.781 (59.298) Prec@5 75.781 (80.967) Epoch: [34][2270/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.7391 (1.7913) Prec@1 60.156 (59.293) Prec@5 78.906 (80.965) Epoch: [34][2280/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.9771 (1.7913) Prec@1 54.688 (59.296) Prec@5 78.125 (80.966) Epoch: [34][2290/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7203 (1.7909) Prec@1 64.062 (59.307) Prec@5 82.031 (80.976) Epoch: [34][2300/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.0250 (1.7915) Prec@1 50.000 (59.295) Prec@5 78.125 (80.964) Epoch: [34][2310/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.1382 (1.7923) Prec@1 53.906 (59.287) Prec@5 74.219 (80.947) Epoch: [34][2320/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.5736 (1.7922) Prec@1 64.844 (59.287) Prec@5 84.375 (80.950) Epoch: [34][2330/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 1.8223 (1.7925) Prec@1 57.031 (59.275) Prec@5 80.469 (80.939) Epoch: [34][2340/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.7144 (1.7928) Prec@1 64.062 (59.272) Prec@5 81.250 (80.936) Epoch: [34][2350/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.6945 (1.7927) Prec@1 67.188 (59.278) Prec@5 83.594 (80.941) Epoch: [34][2360/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.7384 (1.7929) Prec@1 60.938 (59.276) Prec@5 82.031 (80.939) Epoch: [34][2370/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 1.6855 (1.7926) Prec@1 60.938 (59.278) Prec@5 81.250 (80.941) Epoch: [34][2380/10010] Time 0.315 (0.331) Data 0.000 (0.002) Loss 1.6228 (1.7928) Prec@1 63.281 (59.268) Prec@5 85.938 (80.936) Epoch: [34][2390/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.0014 (1.7926) Prec@1 56.250 (59.268) Prec@5 79.688 (80.944) Epoch: [34][2400/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 1.8292 (1.7923) Prec@1 60.938 (59.274) Prec@5 82.031 (80.949) Epoch: [34][2410/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.3834 (1.7921) Prec@1 67.188 (59.277) Prec@5 88.281 (80.952) Epoch: [34][2420/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.8809 (1.7921) Prec@1 54.688 (59.273) Prec@5 77.344 (80.950) Epoch: [34][2430/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.5884 (1.7919) Prec@1 63.281 (59.277) Prec@5 81.250 (80.950) Epoch: [34][2440/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.7991 (1.7922) Prec@1 60.938 (59.270) Prec@5 81.250 (80.943) Epoch: [34][2450/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.4289 (1.7918) Prec@1 64.062 (59.280) Prec@5 90.625 (80.947) Epoch: [34][2460/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.4656 (1.7921) Prec@1 64.062 (59.276) Prec@5 85.938 (80.944) Epoch: [34][2470/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 1.9456 (1.7923) Prec@1 53.125 (59.272) Prec@5 79.688 (80.946) Epoch: [34][2480/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.7738 (1.7921) Prec@1 60.156 (59.272) Prec@5 82.031 (80.951) Epoch: [34][2490/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.8753 (1.7921) Prec@1 57.031 (59.271) Prec@5 78.125 (80.950) Epoch: [34][2500/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.0534 (1.7925) Prec@1 52.344 (59.259) Prec@5 78.125 (80.947) Epoch: [34][2510/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.8435 (1.7924) Prec@1 60.156 (59.263) Prec@5 78.125 (80.945) Epoch: [34][2520/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.4280 (1.7929) Prec@1 48.438 (59.251) Prec@5 68.750 (80.939) Epoch: [34][2530/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.9180 (1.7930) Prec@1 60.938 (59.256) Prec@5 75.781 (80.937) Epoch: [34][2540/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.9110 (1.7932) Prec@1 56.250 (59.251) Prec@5 76.562 (80.930) Epoch: [34][2550/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.7143 (1.7936) Prec@1 63.281 (59.249) Prec@5 85.938 (80.928) Epoch: [34][2560/10010] Time 0.313 (0.331) Data 0.000 (0.002) Loss 1.9132 (1.7939) Prec@1 56.250 (59.255) Prec@5 81.250 (80.920) Epoch: [34][2570/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.5249 (1.7937) Prec@1 64.062 (59.252) Prec@5 86.719 (80.922) Epoch: [34][2580/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 1.7871 (1.7936) Prec@1 59.375 (59.259) Prec@5 82.031 (80.919) Epoch: [34][2590/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.6573 (1.7936) Prec@1 64.844 (59.257) Prec@5 80.469 (80.919) Epoch: [34][2600/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.0074 (1.7938) Prec@1 56.250 (59.252) Prec@5 78.906 (80.918) Epoch: [34][2610/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.0140 (1.7938) Prec@1 53.906 (59.251) Prec@5 77.344 (80.920) Epoch: [34][2620/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.7378 (1.7937) Prec@1 62.500 (59.244) Prec@5 82.031 (80.920) Epoch: [34][2630/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.9776 (1.7940) Prec@1 55.469 (59.238) Prec@5 78.125 (80.917) Epoch: [34][2640/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.7637 (1.7942) Prec@1 62.500 (59.240) Prec@5 84.375 (80.908) Epoch: [34][2650/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.0023 (1.7941) Prec@1 60.156 (59.241) Prec@5 78.125 (80.910) Epoch: [34][2660/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.8526 (1.7946) Prec@1 57.031 (59.232) Prec@5 82.812 (80.906) Epoch: [34][2670/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.8042 (1.7945) Prec@1 58.594 (59.232) Prec@5 82.031 (80.905) Epoch: [34][2680/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.7220 (1.7943) Prec@1 61.719 (59.233) Prec@5 78.906 (80.906) Epoch: [34][2690/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.8607 (1.7942) Prec@1 56.250 (59.240) Prec@5 82.812 (80.907) Epoch: [34][2700/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.7526 (1.7942) Prec@1 60.938 (59.244) Prec@5 85.156 (80.907) Epoch: [34][2710/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.8145 (1.7940) Prec@1 56.250 (59.245) Prec@5 82.031 (80.912) Epoch: [34][2720/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.7960 (1.7941) Prec@1 62.500 (59.243) Prec@5 78.906 (80.910) Epoch: [34][2730/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.8144 (1.7943) Prec@1 64.062 (59.241) Prec@5 85.938 (80.908) Epoch: [34][2740/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 1.6384 (1.7943) Prec@1 58.594 (59.236) Prec@5 80.469 (80.912) Epoch: [34][2750/10010] Time 0.310 (0.331) Data 0.001 (0.002) Loss 1.7880 (1.7946) Prec@1 62.500 (59.226) Prec@5 82.031 (80.910) Epoch: [34][2760/10010] Time 0.348 (0.331) Data 0.000 (0.002) Loss 1.5203 (1.7950) Prec@1 62.500 (59.219) Prec@5 86.719 (80.904) Epoch: [34][2770/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 1.6874 (1.7949) Prec@1 61.719 (59.224) Prec@5 79.688 (80.901) Epoch: [34][2780/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.7543 (1.7947) Prec@1 57.812 (59.230) Prec@5 81.250 (80.902) Epoch: [34][2790/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.0506 (1.7950) Prec@1 54.688 (59.226) Prec@5 79.688 (80.901) Epoch: [34][2800/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.9646 (1.7951) Prec@1 55.469 (59.225) Prec@5 77.344 (80.899) Epoch: [34][2810/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.7204 (1.7950) Prec@1 60.156 (59.228) Prec@5 84.375 (80.902) Epoch: [34][2820/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.6851 (1.7950) Prec@1 64.062 (59.228) Prec@5 85.156 (80.901) Epoch: [34][2830/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.6657 (1.7948) Prec@1 62.500 (59.234) Prec@5 85.938 (80.907) Epoch: [34][2840/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.6819 (1.7949) Prec@1 63.281 (59.235) Prec@5 82.031 (80.904) Epoch: [34][2850/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.4887 (1.7952) Prec@1 66.406 (59.228) Prec@5 82.812 (80.901) Epoch: [34][2860/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.4962 (1.7956) Prec@1 67.188 (59.223) Prec@5 82.812 (80.895) Epoch: [34][2870/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.5897 (1.7956) Prec@1 61.719 (59.223) Prec@5 82.031 (80.897) Epoch: [34][2880/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.8971 (1.7953) Prec@1 62.500 (59.230) Prec@5 79.688 (80.900) Epoch: [34][2890/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.5244 (1.7955) Prec@1 64.844 (59.229) Prec@5 86.719 (80.896) Epoch: [34][2900/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.5441 (1.7952) Prec@1 69.531 (59.236) Prec@5 86.719 (80.900) Epoch: [34][2910/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9655 (1.7954) Prec@1 54.688 (59.235) Prec@5 79.688 (80.898) Epoch: [34][2920/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 1.9138 (1.7953) Prec@1 56.250 (59.240) Prec@5 75.781 (80.902) Epoch: [34][2930/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.2734 (1.7955) Prec@1 59.375 (59.239) Prec@5 75.000 (80.903) Epoch: [34][2940/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7831 (1.7956) Prec@1 59.375 (59.231) Prec@5 81.250 (80.901) Epoch: [34][2950/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7155 (1.7955) Prec@1 64.062 (59.231) Prec@5 81.250 (80.905) Epoch: [34][2960/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9564 (1.7953) Prec@1 53.906 (59.234) Prec@5 79.688 (80.910) Epoch: [34][2970/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6140 (1.7950) Prec@1 64.844 (59.240) Prec@5 81.250 (80.909) Epoch: [34][2980/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7343 (1.7951) Prec@1 62.500 (59.239) Prec@5 84.375 (80.909) Epoch: [34][2990/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.2102 (1.7953) Prec@1 52.344 (59.233) Prec@5 72.656 (80.907) Epoch: [34][3000/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.3009 (1.7953) Prec@1 49.219 (59.228) Prec@5 74.219 (80.904) Epoch: [34][3010/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8882 (1.7953) Prec@1 57.812 (59.230) Prec@5 80.469 (80.909) Epoch: [34][3020/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7443 (1.7952) Prec@1 60.938 (59.231) Prec@5 78.125 (80.908) Epoch: [34][3030/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8389 (1.7950) Prec@1 55.469 (59.237) Prec@5 80.469 (80.912) Epoch: [34][3040/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 1.9018 (1.7951) Prec@1 57.812 (59.237) Prec@5 78.906 (80.912) Epoch: [34][3050/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0126 (1.7954) Prec@1 55.469 (59.229) Prec@5 77.344 (80.910) Epoch: [34][3060/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9528 (1.7955) Prec@1 58.594 (59.226) Prec@5 76.562 (80.905) Epoch: [34][3070/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9132 (1.7957) Prec@1 60.156 (59.226) Prec@5 81.250 (80.903) Epoch: [34][3080/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7888 (1.7956) Prec@1 60.938 (59.228) Prec@5 78.906 (80.906) Epoch: [34][3090/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0071 (1.7957) Prec@1 55.469 (59.224) Prec@5 75.781 (80.907) Epoch: [34][3100/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1606 (1.7956) Prec@1 57.812 (59.230) Prec@5 76.562 (80.904) Epoch: [34][3110/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7965 (1.7961) Prec@1 56.250 (59.221) Prec@5 82.031 (80.897) Epoch: [34][3120/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7849 (1.7963) Prec@1 60.156 (59.218) Prec@5 82.812 (80.893) Epoch: [34][3130/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7524 (1.7964) Prec@1 60.938 (59.215) Prec@5 80.469 (80.889) Epoch: [34][3140/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7185 (1.7966) Prec@1 57.031 (59.210) Prec@5 82.031 (80.884) Epoch: [34][3150/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7887 (1.7965) Prec@1 60.938 (59.216) Prec@5 80.469 (80.887) Epoch: [34][3160/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5856 (1.7965) Prec@1 64.844 (59.219) Prec@5 82.031 (80.888) Epoch: [34][3170/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1580 (1.7964) Prec@1 54.688 (59.222) Prec@5 78.125 (80.891) Epoch: [34][3180/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6443 (1.7962) Prec@1 60.156 (59.221) Prec@5 82.812 (80.893) Epoch: [34][3190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5571 (1.7958) Prec@1 63.281 (59.229) Prec@5 84.375 (80.900) Epoch: [34][3200/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0545 (1.7958) Prec@1 54.688 (59.231) Prec@5 77.344 (80.901) Epoch: [34][3210/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9073 (1.7958) Prec@1 57.031 (59.234) Prec@5 78.125 (80.901) Epoch: [34][3220/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0395 (1.7960) Prec@1 60.938 (59.228) Prec@5 77.344 (80.898) Epoch: [34][3230/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7839 (1.7961) Prec@1 59.375 (59.224) Prec@5 78.906 (80.895) Epoch: [34][3240/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0340 (1.7962) Prec@1 54.688 (59.225) Prec@5 75.781 (80.895) Epoch: [34][3250/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.4592 (1.7963) Prec@1 64.844 (59.223) Prec@5 87.500 (80.894) Epoch: [34][3260/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9010 (1.7963) Prec@1 57.031 (59.221) Prec@5 80.469 (80.891) Epoch: [34][3270/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6464 (1.7961) Prec@1 61.719 (59.224) Prec@5 82.812 (80.897) Epoch: [34][3280/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9848 (1.7962) Prec@1 54.688 (59.218) Prec@5 79.688 (80.900) Epoch: [34][3290/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8154 (1.7961) Prec@1 60.156 (59.219) Prec@5 79.688 (80.901) Epoch: [34][3300/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6700 (1.7961) Prec@1 60.938 (59.217) Prec@5 81.250 (80.898) Epoch: [34][3310/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.0639 (1.7963) Prec@1 57.031 (59.214) Prec@5 77.344 (80.896) Epoch: [34][3320/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9162 (1.7965) Prec@1 60.156 (59.216) Prec@5 79.688 (80.895) Epoch: [34][3330/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7626 (1.7966) Prec@1 57.031 (59.220) Prec@5 82.031 (80.894) Epoch: [34][3340/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9785 (1.7966) Prec@1 51.562 (59.215) Prec@5 79.688 (80.892) Epoch: [34][3350/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8938 (1.7967) Prec@1 55.469 (59.219) Prec@5 79.688 (80.889) Epoch: [34][3360/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9631 (1.7967) Prec@1 59.375 (59.219) Prec@5 78.125 (80.890) Epoch: [34][3370/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8401 (1.7966) Prec@1 58.594 (59.218) Prec@5 81.250 (80.895) Epoch: [34][3380/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9261 (1.7969) Prec@1 60.938 (59.208) Prec@5 81.250 (80.889) Epoch: [34][3390/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9915 (1.7970) Prec@1 50.781 (59.208) Prec@5 81.250 (80.890) Epoch: [34][3400/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9416 (1.7972) Prec@1 56.250 (59.204) Prec@5 80.469 (80.885) Epoch: [34][3410/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7445 (1.7971) Prec@1 64.062 (59.210) Prec@5 78.906 (80.889) Epoch: [34][3420/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6425 (1.7970) Prec@1 65.625 (59.210) Prec@5 81.250 (80.890) Epoch: [34][3430/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7752 (1.7969) Prec@1 57.031 (59.214) Prec@5 84.375 (80.894) Epoch: [34][3440/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8330 (1.7972) Prec@1 59.375 (59.210) Prec@5 81.250 (80.890) Epoch: [34][3450/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8227 (1.7970) Prec@1 57.812 (59.212) Prec@5 78.906 (80.891) Epoch: [34][3460/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7094 (1.7968) Prec@1 59.375 (59.213) Prec@5 81.250 (80.894) Epoch: [34][3470/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6436 (1.7966) Prec@1 63.281 (59.218) Prec@5 83.594 (80.898) Epoch: [34][3480/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9033 (1.7964) Prec@1 58.594 (59.220) Prec@5 79.688 (80.902) Epoch: [34][3490/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8716 (1.7967) Prec@1 57.812 (59.219) Prec@5 79.688 (80.902) Epoch: [34][3500/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8742 (1.7968) Prec@1 59.375 (59.219) Prec@5 79.688 (80.898) Epoch: [34][3510/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9819 (1.7969) Prec@1 57.031 (59.221) Prec@5 80.469 (80.897) Epoch: [34][3520/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.3307 (1.7965) Prec@1 71.094 (59.224) Prec@5 88.281 (80.902) Epoch: [34][3530/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8948 (1.7967) Prec@1 52.344 (59.219) Prec@5 78.125 (80.899) Epoch: [34][3540/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.5243 (1.7966) Prec@1 64.844 (59.222) Prec@5 82.812 (80.899) Epoch: [34][3550/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7534 (1.7967) Prec@1 59.375 (59.219) Prec@5 84.375 (80.897) Epoch: [34][3560/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8188 (1.7966) Prec@1 57.812 (59.221) Prec@5 83.594 (80.899) Epoch: [34][3570/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9465 (1.7966) Prec@1 52.344 (59.218) Prec@5 78.906 (80.900) Epoch: [34][3580/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.1679 (1.7967) Prec@1 52.344 (59.211) Prec@5 74.219 (80.898) Epoch: [34][3590/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9869 (1.7968) Prec@1 57.812 (59.210) Prec@5 79.688 (80.897) Epoch: [34][3600/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8182 (1.7967) Prec@1 60.156 (59.211) Prec@5 78.125 (80.896) Epoch: [34][3610/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9472 (1.7971) Prec@1 59.375 (59.205) Prec@5 79.688 (80.892) /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: [34][3620/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7053 (1.7973) Prec@1 57.812 (59.202) Prec@5 85.156 (80.887) Epoch: [34][3630/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9643 (1.7975) Prec@1 54.688 (59.196) Prec@5 76.562 (80.887) Epoch: [34][3640/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7305 (1.7975) Prec@1 52.344 (59.191) Prec@5 85.938 (80.890) Epoch: [34][3650/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6973 (1.7973) Prec@1 61.719 (59.187) Prec@5 82.031 (80.893) Epoch: [34][3660/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.1369 (1.7975) Prec@1 57.031 (59.185) Prec@5 76.562 (80.890) Epoch: [34][3670/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8660 (1.7976) Prec@1 59.375 (59.185) Prec@5 82.031 (80.888) Epoch: [34][3680/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.5130 (1.7974) Prec@1 59.375 (59.185) Prec@5 84.375 (80.892) Epoch: [34][3690/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9303 (1.7975) Prec@1 61.719 (59.185) Prec@5 79.688 (80.888) Epoch: [34][3700/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8360 (1.7975) Prec@1 55.469 (59.184) Prec@5 79.688 (80.889) Epoch: [34][3710/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7571 (1.7975) Prec@1 58.594 (59.180) Prec@5 82.812 (80.893) Epoch: [34][3720/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6679 (1.7978) Prec@1 57.031 (59.172) Prec@5 83.594 (80.890) Epoch: [34][3730/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7957 (1.7978) Prec@1 57.812 (59.175) Prec@5 82.031 (80.889) Epoch: [34][3740/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6586 (1.7980) Prec@1 60.938 (59.171) Prec@5 82.031 (80.884) Epoch: [34][3750/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9345 (1.7980) Prec@1 57.031 (59.170) Prec@5 79.688 (80.884) Epoch: [34][3760/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.2955 (1.7982) Prec@1 71.875 (59.170) Prec@5 85.938 (80.883) Epoch: [34][3770/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8839 (1.7983) Prec@1 57.031 (59.167) Prec@5 77.344 (80.880) Epoch: [34][3780/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8509 (1.7985) Prec@1 57.812 (59.164) Prec@5 78.125 (80.877) Epoch: [34][3790/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8478 (1.7984) Prec@1 60.156 (59.167) Prec@5 78.125 (80.878) Epoch: [34][3800/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6960 (1.7985) Prec@1 64.062 (59.165) Prec@5 85.156 (80.878) Epoch: [34][3810/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6915 (1.7983) Prec@1 57.031 (59.166) Prec@5 82.031 (80.880) Epoch: [34][3820/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7371 (1.7985) Prec@1 63.281 (59.167) Prec@5 83.594 (80.879) Epoch: [34][3830/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7071 (1.7985) Prec@1 61.719 (59.169) Prec@5 79.688 (80.881) Epoch: [34][3840/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8684 (1.7985) Prec@1 60.938 (59.173) Prec@5 79.688 (80.881) Epoch: [34][3850/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7141 (1.7983) Prec@1 58.594 (59.174) Prec@5 83.594 (80.886) Epoch: [34][3860/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.4585 (1.7983) Prec@1 60.156 (59.173) Prec@5 86.719 (80.887) Epoch: [34][3870/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0128 (1.7984) Prec@1 53.906 (59.171) Prec@5 78.906 (80.884) Epoch: [34][3880/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.8630 (1.7980) Prec@1 57.812 (59.181) Prec@5 85.156 (80.893) Epoch: [34][3890/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.9237 (1.7982) Prec@1 55.469 (59.173) Prec@5 82.031 (80.888) Epoch: [34][3900/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7868 (1.7983) Prec@1 53.906 (59.168) Prec@5 84.375 (80.886) Epoch: [34][3910/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6889 (1.7985) Prec@1 61.719 (59.163) Prec@5 82.031 (80.885) Epoch: [34][3920/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1629 (1.7985) Prec@1 53.906 (59.164) Prec@5 73.438 (80.885) Epoch: [34][3930/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7359 (1.7985) Prec@1 60.938 (59.164) Prec@5 83.594 (80.885) Epoch: [34][3940/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.4383 (1.7986) Prec@1 50.000 (59.167) Prec@5 68.750 (80.881) Epoch: [34][3950/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.0567 (1.7986) Prec@1 51.562 (59.164) Prec@5 78.906 (80.881) Epoch: [34][3960/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1499 (1.7985) Prec@1 55.469 (59.168) Prec@5 72.656 (80.884) Epoch: [34][3970/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6562 (1.7984) Prec@1 60.156 (59.172) Prec@5 85.156 (80.886) Epoch: [34][3980/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9042 (1.7989) Prec@1 53.906 (59.161) Prec@5 78.906 (80.877) Epoch: [34][3990/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0276 (1.7988) Prec@1 53.125 (59.161) Prec@5 71.875 (80.878) Epoch: [34][4000/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6199 (1.7987) Prec@1 61.719 (59.165) Prec@5 83.594 (80.878) Epoch: [34][4010/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9741 (1.7988) Prec@1 60.938 (59.166) Prec@5 76.562 (80.875) Epoch: [34][4020/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6245 (1.7989) Prec@1 60.938 (59.163) Prec@5 80.469 (80.871) Epoch: [34][4030/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0359 (1.7989) Prec@1 52.344 (59.159) Prec@5 80.469 (80.871) Epoch: [34][4040/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.4147 (1.7988) Prec@1 63.281 (59.159) Prec@5 89.062 (80.874) Epoch: [34][4050/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9386 (1.7987) Prec@1 54.688 (59.161) Prec@5 75.000 (80.875) Epoch: [34][4060/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8443 (1.7990) Prec@1 57.812 (59.156) Prec@5 78.906 (80.870) Epoch: [34][4070/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0721 (1.7990) Prec@1 52.344 (59.153) Prec@5 75.000 (80.871) Epoch: [34][4080/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0187 (1.7994) Prec@1 53.125 (59.148) Prec@5 78.125 (80.867) Epoch: [34][4090/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6796 (1.7995) Prec@1 57.031 (59.144) Prec@5 82.812 (80.862) Epoch: [34][4100/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7202 (1.7995) Prec@1 59.375 (59.144) Prec@5 81.250 (80.861) Epoch: [34][4110/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7058 (1.7996) Prec@1 64.062 (59.145) Prec@5 78.906 (80.861) Epoch: [34][4120/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9231 (1.7996) Prec@1 54.688 (59.145) Prec@5 77.344 (80.858) Epoch: [34][4130/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8315 (1.7997) Prec@1 53.125 (59.141) Prec@5 77.344 (80.859) Epoch: [34][4140/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5631 (1.7997) Prec@1 64.062 (59.136) Prec@5 87.500 (80.863) Epoch: [34][4150/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.9300 (1.7995) Prec@1 55.469 (59.136) Prec@5 79.688 (80.864) Epoch: [34][4160/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8483 (1.7995) Prec@1 60.938 (59.138) Prec@5 79.688 (80.863) Epoch: [34][4170/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0626 (1.7994) Prec@1 60.156 (59.138) Prec@5 78.906 (80.866) Epoch: [34][4180/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6008 (1.7992) Prec@1 57.812 (59.139) Prec@5 87.500 (80.873) Epoch: [34][4190/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6761 (1.7991) Prec@1 64.062 (59.137) Prec@5 81.250 (80.874) Epoch: [34][4200/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7334 (1.7993) Prec@1 60.156 (59.131) Prec@5 82.031 (80.871) Epoch: [34][4210/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8766 (1.7993) Prec@1 57.812 (59.130) Prec@5 77.344 (80.869) Epoch: [34][4220/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8076 (1.7992) Prec@1 57.031 (59.131) Prec@5 83.594 (80.872) Epoch: [34][4230/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7011 (1.7991) Prec@1 57.812 (59.128) Prec@5 85.156 (80.874) Epoch: [34][4240/10010] Time 0.311 (0.331) Data 0.000 (0.001) Loss 1.9424 (1.7992) Prec@1 58.594 (59.126) Prec@5 75.000 (80.871) Epoch: [34][4250/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6230 (1.7991) Prec@1 58.594 (59.120) Prec@5 84.375 (80.873) Epoch: [34][4260/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9385 (1.7995) Prec@1 60.156 (59.114) Prec@5 79.688 (80.868) Epoch: [34][4270/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6628 (1.7995) Prec@1 61.719 (59.113) Prec@5 81.250 (80.868) Epoch: [34][4280/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6540 (1.7994) Prec@1 59.375 (59.115) Prec@5 83.594 (80.866) Epoch: [34][4290/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8357 (1.7996) Prec@1 60.938 (59.108) Prec@5 81.250 (80.863) Epoch: [34][4300/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.7818 (1.7998) Prec@1 59.375 (59.104) Prec@5 82.031 (80.860) Epoch: [34][4310/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8061 (1.7999) Prec@1 56.250 (59.104) Prec@5 78.906 (80.856) Epoch: [34][4320/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.1167 (1.8000) Prec@1 56.250 (59.102) Prec@5 73.438 (80.853) Epoch: [34][4330/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8940 (1.7998) Prec@1 55.469 (59.109) Prec@5 75.781 (80.853) Epoch: [34][4340/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6298 (1.7998) Prec@1 62.500 (59.109) Prec@5 85.156 (80.856) Epoch: [34][4350/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8903 (1.8000) Prec@1 58.594 (59.104) Prec@5 77.344 (80.848) Epoch: [34][4360/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8179 (1.7999) Prec@1 60.156 (59.108) Prec@5 78.906 (80.850) Epoch: [34][4370/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9086 (1.8000) Prec@1 61.719 (59.110) Prec@5 77.344 (80.846) Epoch: [34][4380/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6608 (1.8002) Prec@1 61.719 (59.106) Prec@5 81.250 (80.843) Epoch: [34][4390/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.1048 (1.8004) Prec@1 53.906 (59.101) Prec@5 75.000 (80.840) Epoch: [34][4400/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9545 (1.8005) Prec@1 53.906 (59.099) Prec@5 77.344 (80.840) Epoch: [34][4410/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6879 (1.8005) Prec@1 64.062 (59.106) Prec@5 85.156 (80.841) Epoch: [34][4420/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8246 (1.8006) Prec@1 53.906 (59.100) Prec@5 83.594 (80.839) Epoch: [34][4430/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9684 (1.8008) Prec@1 55.469 (59.097) Prec@5 75.781 (80.837) Epoch: [34][4440/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6929 (1.8010) Prec@1 63.281 (59.096) Prec@5 79.688 (80.833) Epoch: [34][4450/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7944 (1.8011) Prec@1 56.250 (59.095) Prec@5 82.031 (80.832) Epoch: [34][4460/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6988 (1.8012) Prec@1 59.375 (59.096) Prec@5 84.375 (80.830) Epoch: [34][4470/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8178 (1.8011) Prec@1 56.250 (59.098) Prec@5 78.906 (80.829) Epoch: [34][4480/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9780 (1.8012) Prec@1 61.719 (59.098) Prec@5 79.688 (80.831) Epoch: [34][4490/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9974 (1.8014) Prec@1 51.562 (59.092) Prec@5 80.469 (80.829) Epoch: [34][4500/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6711 (1.8016) Prec@1 60.938 (59.088) Prec@5 81.250 (80.826) Epoch: [34][4510/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7301 (1.8018) Prec@1 60.156 (59.082) Prec@5 81.250 (80.824) Epoch: [34][4520/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8620 (1.8018) Prec@1 55.469 (59.083) Prec@5 79.688 (80.824) Epoch: [34][4530/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5153 (1.8016) Prec@1 59.375 (59.086) Prec@5 87.500 (80.827) Epoch: [34][4540/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7958 (1.8016) Prec@1 63.281 (59.090) Prec@5 82.812 (80.828) Epoch: [34][4550/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6688 (1.8016) Prec@1 60.938 (59.092) Prec@5 84.375 (80.828) Epoch: [34][4560/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7779 (1.8017) Prec@1 62.500 (59.088) Prec@5 76.562 (80.827) Epoch: [34][4570/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3700 (1.8018) Prec@1 49.219 (59.085) Prec@5 71.094 (80.825) Epoch: [34][4580/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.5829 (1.8016) Prec@1 71.875 (59.091) Prec@5 82.031 (80.828) Epoch: [34][4590/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.4592 (1.8016) Prec@1 61.719 (59.093) Prec@5 89.062 (80.828) Epoch: [34][4600/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1322 (1.8017) Prec@1 53.906 (59.088) Prec@5 78.125 (80.825) Epoch: [34][4610/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5487 (1.8018) Prec@1 62.500 (59.087) Prec@5 87.500 (80.825) Epoch: [34][4620/10010] Time 0.356 (0.331) Data 0.001 (0.001) Loss 1.6299 (1.8018) Prec@1 60.938 (59.087) Prec@5 84.375 (80.824) Epoch: [34][4630/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8444 (1.8021) Prec@1 55.469 (59.081) Prec@5 78.125 (80.819) Epoch: [34][4640/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8774 (1.8023) Prec@1 57.031 (59.080) Prec@5 81.250 (80.816) Epoch: [34][4650/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5781 (1.8023) Prec@1 65.625 (59.080) Prec@5 83.594 (80.816) Epoch: [34][4660/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1987 (1.8026) Prec@1 49.219 (59.070) Prec@5 72.656 (80.814) Epoch: [34][4670/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6107 (1.8024) Prec@1 64.844 (59.074) Prec@5 85.156 (80.816) Epoch: [34][4680/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7661 (1.8024) Prec@1 65.625 (59.077) Prec@5 82.031 (80.817) Epoch: [34][4690/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.9899 (1.8024) Prec@1 57.812 (59.076) Prec@5 75.781 (80.817) Epoch: [34][4700/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6600 (1.8023) Prec@1 62.500 (59.080) Prec@5 80.469 (80.817) Epoch: [34][4710/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7813 (1.8021) Prec@1 54.688 (59.085) Prec@5 79.688 (80.819) Epoch: [34][4720/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9121 (1.8023) Prec@1 59.375 (59.085) Prec@5 79.688 (80.819) Epoch: [34][4730/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6240 (1.8021) Prec@1 64.844 (59.089) Prec@5 82.031 (80.820) Epoch: [34][4740/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8144 (1.8021) Prec@1 58.594 (59.090) Prec@5 78.906 (80.823) Epoch: [34][4750/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8149 (1.8022) Prec@1 55.469 (59.084) Prec@5 80.469 (80.821) Epoch: [34][4760/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7071 (1.8020) Prec@1 57.031 (59.086) Prec@5 86.719 (80.825) Epoch: [34][4770/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9024 (1.8020) Prec@1 58.594 (59.087) Prec@5 78.125 (80.827) Epoch: [34][4780/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.7566 (1.8020) Prec@1 60.156 (59.089) Prec@5 82.031 (80.828) Epoch: [34][4790/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7341 (1.8019) Prec@1 55.469 (59.091) Prec@5 80.469 (80.827) Epoch: [34][4800/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.7501 (1.8018) Prec@1 64.844 (59.092) Prec@5 81.250 (80.830) Epoch: [34][4810/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7030 (1.8017) Prec@1 57.031 (59.091) Prec@5 85.156 (80.831) Epoch: [34][4820/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0158 (1.8016) Prec@1 53.906 (59.092) Prec@5 78.906 (80.834) Epoch: [34][4830/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1529 (1.8020) Prec@1 56.250 (59.083) Prec@5 75.000 (80.828) Epoch: [34][4840/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5367 (1.8021) Prec@1 64.062 (59.081) Prec@5 84.375 (80.825) Epoch: [34][4850/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8359 (1.8022) Prec@1 59.375 (59.080) Prec@5 80.469 (80.824) Epoch: [34][4860/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9523 (1.8022) Prec@1 58.594 (59.082) Prec@5 76.562 (80.822) Epoch: [34][4870/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5834 (1.8023) Prec@1 62.500 (59.079) Prec@5 81.250 (80.819) Epoch: [34][4880/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9881 (1.8024) Prec@1 60.938 (59.078) Prec@5 78.906 (80.816) Epoch: [34][4890/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.2434 (1.8027) Prec@1 53.906 (59.073) Prec@5 77.344 (80.812) Epoch: [34][4900/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0581 (1.8026) Prec@1 53.906 (59.076) Prec@5 78.125 (80.811) Epoch: [34][4910/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9570 (1.8026) Prec@1 58.594 (59.077) Prec@5 80.469 (80.808) Epoch: [34][4920/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8659 (1.8026) Prec@1 57.031 (59.076) Prec@5 79.688 (80.810) Epoch: [34][4930/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6257 (1.8025) Prec@1 57.812 (59.077) Prec@5 82.031 (80.811) Epoch: [34][4940/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7583 (1.8027) Prec@1 58.594 (59.073) Prec@5 82.812 (80.806) Epoch: [34][4950/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7605 (1.8027) Prec@1 60.938 (59.073) Prec@5 82.031 (80.808) Epoch: [34][4960/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8773 (1.8028) Prec@1 57.031 (59.071) Prec@5 80.469 (80.807) Epoch: [34][4970/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.1171 (1.8027) Prec@1 53.125 (59.069) Prec@5 76.562 (80.809) Epoch: [34][4980/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5231 (1.8030) Prec@1 64.062 (59.063) Prec@5 86.719 (80.806) Epoch: [34][4990/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5247 (1.8032) Prec@1 67.188 (59.064) Prec@5 86.719 (80.803) Epoch: [34][5000/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8291 (1.8031) Prec@1 60.938 (59.067) Prec@5 82.812 (80.805) Epoch: [34][5010/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9073 (1.8032) Prec@1 56.250 (59.064) Prec@5 79.688 (80.800) Epoch: [34][5020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0195 (1.8033) Prec@1 51.562 (59.063) Prec@5 76.562 (80.799) Epoch: [34][5030/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7351 (1.8033) Prec@1 64.844 (59.061) Prec@5 82.812 (80.798) Epoch: [34][5040/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9697 (1.8033) Prec@1 59.375 (59.062) Prec@5 81.250 (80.800) Epoch: [34][5050/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8032 (1.8034) Prec@1 53.906 (59.061) Prec@5 81.250 (80.798) Epoch: [34][5060/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8754 (1.8034) Prec@1 53.906 (59.062) Prec@5 80.469 (80.798) Epoch: [34][5070/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8462 (1.8036) Prec@1 53.906 (59.060) Prec@5 82.812 (80.797) Epoch: [34][5080/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0156 (1.8034) Prec@1 58.594 (59.064) Prec@5 78.906 (80.800) Epoch: [34][5090/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6901 (1.8035) Prec@1 57.812 (59.063) Prec@5 78.906 (80.798) Epoch: [34][5100/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8002 (1.8035) Prec@1 62.500 (59.063) Prec@5 80.469 (80.795) Epoch: [34][5110/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0353 (1.8037) Prec@1 52.344 (59.062) Prec@5 75.781 (80.792) Epoch: [34][5120/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9936 (1.8038) Prec@1 55.469 (59.063) Prec@5 78.125 (80.791) /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: [34][5130/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6113 (1.8036) Prec@1 64.062 (59.066) Prec@5 82.812 (80.794) Epoch: [34][5140/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1448 (1.8037) Prec@1 51.562 (59.065) Prec@5 74.219 (80.793) Epoch: [34][5150/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0042 (1.8037) Prec@1 50.000 (59.062) Prec@5 76.562 (80.793) Epoch: [34][5160/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8188 (1.8036) Prec@1 56.250 (59.061) Prec@5 80.469 (80.792) Epoch: [34][5170/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.8989 (1.8039) Prec@1 60.156 (59.060) Prec@5 79.688 (80.789) Epoch: [34][5180/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6125 (1.8040) Prec@1 63.281 (59.054) Prec@5 81.250 (80.785) Epoch: [34][5190/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0513 (1.8040) Prec@1 49.219 (59.055) Prec@5 81.250 (80.784) Epoch: [34][5200/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5641 (1.8040) Prec@1 60.938 (59.055) Prec@5 83.594 (80.785) Epoch: [34][5210/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8879 (1.8040) Prec@1 59.375 (59.055) Prec@5 81.250 (80.786) Epoch: [34][5220/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 1.8556 (1.8041) Prec@1 54.688 (59.053) Prec@5 77.344 (80.784) Epoch: [34][5230/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7841 (1.8040) Prec@1 56.250 (59.056) Prec@5 80.469 (80.786) Epoch: [34][5240/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7139 (1.8040) Prec@1 65.625 (59.054) Prec@5 81.250 (80.785) Epoch: [34][5250/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8379 (1.8040) Prec@1 58.594 (59.057) Prec@5 80.469 (80.784) Epoch: [34][5260/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7473 (1.8041) Prec@1 54.688 (59.049) Prec@5 83.594 (80.779) Epoch: [34][5270/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6093 (1.8042) Prec@1 61.719 (59.049) Prec@5 87.500 (80.779) Epoch: [34][5280/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7008 (1.8043) Prec@1 65.625 (59.047) Prec@5 82.812 (80.778) Epoch: [34][5290/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7162 (1.8042) Prec@1 58.594 (59.048) Prec@5 80.469 (80.778) Epoch: [34][5300/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.7714 (1.8043) Prec@1 63.281 (59.047) Prec@5 82.812 (80.778) Epoch: [34][5310/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7662 (1.8043) Prec@1 59.375 (59.045) Prec@5 82.031 (80.778) Epoch: [34][5320/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0006 (1.8043) Prec@1 53.125 (59.044) Prec@5 76.562 (80.777) Epoch: [34][5330/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7965 (1.8042) Prec@1 56.250 (59.044) Prec@5 83.594 (80.779) Epoch: [34][5340/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8019 (1.8042) Prec@1 59.375 (59.046) Prec@5 84.375 (80.779) Epoch: [34][5350/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8461 (1.8041) Prec@1 59.375 (59.049) Prec@5 81.250 (80.780) Epoch: [34][5360/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8817 (1.8041) Prec@1 57.031 (59.049) Prec@5 79.688 (80.779) Epoch: [34][5370/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8536 (1.8040) Prec@1 55.469 (59.049) Prec@5 79.688 (80.778) Epoch: [34][5380/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6745 (1.8041) Prec@1 64.844 (59.051) Prec@5 82.031 (80.776) Epoch: [34][5390/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6267 (1.8041) Prec@1 60.156 (59.053) Prec@5 80.469 (80.777) Epoch: [34][5400/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7187 (1.8040) Prec@1 61.719 (59.052) Prec@5 80.469 (80.777) Epoch: [34][5410/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6189 (1.8041) Prec@1 62.500 (59.051) Prec@5 84.375 (80.777) Epoch: [34][5420/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6776 (1.8040) Prec@1 63.281 (59.054) Prec@5 82.812 (80.778) Epoch: [34][5430/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8367 (1.8040) Prec@1 57.812 (59.053) Prec@5 77.344 (80.777) Epoch: [34][5440/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7487 (1.8040) Prec@1 60.938 (59.054) Prec@5 80.469 (80.777) Epoch: [34][5450/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9233 (1.8039) Prec@1 58.594 (59.055) Prec@5 78.906 (80.778) Epoch: [34][5460/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7549 (1.8038) Prec@1 57.812 (59.057) Prec@5 81.250 (80.780) Epoch: [34][5470/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6082 (1.8037) Prec@1 59.375 (59.062) Prec@5 82.812 (80.782) Epoch: [34][5480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6543 (1.8036) Prec@1 56.250 (59.060) Prec@5 85.156 (80.785) Epoch: [34][5490/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7079 (1.8038) Prec@1 58.594 (59.059) Prec@5 79.688 (80.783) Epoch: [34][5500/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.5172 (1.8037) Prec@1 65.625 (59.061) Prec@5 85.938 (80.784) Epoch: [34][5510/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6885 (1.8037) Prec@1 60.938 (59.059) Prec@5 81.250 (80.785) Epoch: [34][5520/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5734 (1.8037) Prec@1 59.375 (59.057) Prec@5 86.719 (80.788) Epoch: [34][5530/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9504 (1.8037) Prec@1 60.156 (59.055) Prec@5 81.250 (80.788) Epoch: [34][5540/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7400 (1.8038) Prec@1 59.375 (59.055) Prec@5 80.469 (80.786) Epoch: [34][5550/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8728 (1.8038) Prec@1 57.031 (59.053) Prec@5 77.344 (80.783) Epoch: [34][5560/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.5992 (1.8038) Prec@1 67.188 (59.054) Prec@5 83.594 (80.784) Epoch: [34][5570/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8978 (1.8037) Prec@1 58.594 (59.057) Prec@5 77.344 (80.787) Epoch: [34][5580/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8110 (1.8036) Prec@1 64.844 (59.061) Prec@5 78.125 (80.788) Epoch: [34][5590/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7794 (1.8035) Prec@1 60.938 (59.060) Prec@5 82.031 (80.790) Epoch: [34][5600/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5481 (1.8034) Prec@1 60.156 (59.063) Prec@5 82.812 (80.791) Epoch: [34][5610/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0050 (1.8036) Prec@1 53.125 (59.061) Prec@5 78.906 (80.790) Epoch: [34][5620/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9033 (1.8035) Prec@1 58.594 (59.065) Prec@5 75.781 (80.792) Epoch: [34][5630/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3207 (1.8037) Prec@1 50.000 (59.062) Prec@5 71.875 (80.790) Epoch: [34][5640/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7398 (1.8036) Prec@1 61.719 (59.063) Prec@5 80.469 (80.789) Epoch: [34][5650/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5111 (1.8037) Prec@1 66.406 (59.061) Prec@5 85.938 (80.787) Epoch: [34][5660/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9883 (1.8037) Prec@1 56.250 (59.057) Prec@5 75.781 (80.785) Epoch: [34][5670/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9558 (1.8040) Prec@1 56.250 (59.055) Prec@5 75.781 (80.780) Epoch: [34][5680/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.1463 (1.8042) Prec@1 53.906 (59.051) Prec@5 75.000 (80.776) Epoch: [34][5690/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9956 (1.8042) Prec@1 53.125 (59.049) Prec@5 80.469 (80.777) Epoch: [34][5700/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8497 (1.8043) Prec@1 60.938 (59.049) Prec@5 75.781 (80.776) Epoch: [34][5710/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.5582 (1.8044) Prec@1 63.281 (59.047) Prec@5 82.031 (80.776) Epoch: [34][5720/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0325 (1.8045) Prec@1 54.688 (59.046) Prec@5 75.781 (80.774) Epoch: [34][5730/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8406 (1.8047) Prec@1 57.812 (59.041) Prec@5 79.688 (80.772) Epoch: [34][5740/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7785 (1.8046) Prec@1 56.250 (59.040) Prec@5 82.812 (80.773) Epoch: [34][5750/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8778 (1.8046) Prec@1 60.156 (59.041) Prec@5 80.469 (80.775) Epoch: [34][5760/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7096 (1.8046) Prec@1 58.594 (59.042) Prec@5 85.156 (80.777) Epoch: [34][5770/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8826 (1.8048) Prec@1 58.594 (59.040) Prec@5 82.031 (80.772) Epoch: [34][5780/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8522 (1.8049) Prec@1 53.125 (59.037) Prec@5 82.031 (80.769) Epoch: [34][5790/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7308 (1.8051) Prec@1 64.844 (59.035) Prec@5 83.594 (80.767) Epoch: [34][5800/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8381 (1.8051) Prec@1 51.562 (59.032) Prec@5 83.594 (80.768) Epoch: [34][5810/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7657 (1.8051) Prec@1 63.281 (59.034) Prec@5 84.375 (80.768) Epoch: [34][5820/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7963 (1.8051) Prec@1 55.469 (59.033) Prec@5 82.812 (80.768) Epoch: [34][5830/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0276 (1.8054) Prec@1 55.469 (59.027) Prec@5 78.125 (80.764) Epoch: [34][5840/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8773 (1.8054) Prec@1 58.594 (59.027) Prec@5 78.125 (80.763) Epoch: [34][5850/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9444 (1.8055) Prec@1 59.375 (59.024) Prec@5 77.344 (80.762) Epoch: [34][5860/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6810 (1.8056) Prec@1 59.375 (59.024) Prec@5 81.250 (80.760) Epoch: [34][5870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7034 (1.8055) Prec@1 57.812 (59.024) Prec@5 84.375 (80.761) Epoch: [34][5880/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6366 (1.8054) Prec@1 64.844 (59.025) Prec@5 86.719 (80.765) Epoch: [34][5890/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7089 (1.8056) Prec@1 63.281 (59.021) Prec@5 82.031 (80.761) Epoch: [34][5900/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0192 (1.8057) Prec@1 54.688 (59.020) Prec@5 76.562 (80.759) Epoch: [34][5910/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 2.0776 (1.8058) Prec@1 52.344 (59.020) Prec@5 78.125 (80.759) Epoch: [34][5920/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.4742 (1.8058) Prec@1 68.750 (59.018) Prec@5 86.719 (80.758) Epoch: [34][5930/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.7526 (1.8060) Prec@1 57.031 (59.019) Prec@5 77.344 (80.755) Epoch: [34][5940/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 1.9178 (1.8060) Prec@1 57.812 (59.018) Prec@5 79.688 (80.751) Epoch: [34][5950/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7217 (1.8062) Prec@1 58.594 (59.016) Prec@5 78.906 (80.749) Epoch: [34][5960/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.8523 (1.8064) Prec@1 58.594 (59.012) Prec@5 78.125 (80.747) Epoch: [34][5970/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7862 (1.8062) Prec@1 59.375 (59.015) Prec@5 82.031 (80.748) Epoch: [34][5980/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8075 (1.8064) Prec@1 63.281 (59.013) Prec@5 81.250 (80.747) Epoch: [34][5990/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.4817 (1.8062) Prec@1 66.406 (59.017) Prec@5 88.281 (80.750) Epoch: [34][6000/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6386 (1.8063) Prec@1 63.281 (59.017) Prec@5 85.156 (80.748) Epoch: [34][6010/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8484 (1.8062) Prec@1 59.375 (59.018) Prec@5 79.688 (80.750) Epoch: [34][6020/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6877 (1.8061) Prec@1 58.594 (59.017) Prec@5 83.594 (80.753) Epoch: [34][6030/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.4152 (1.8061) Prec@1 64.062 (59.017) Prec@5 89.062 (80.754) Epoch: [34][6040/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 2.0789 (1.8060) Prec@1 48.438 (59.017) Prec@5 77.344 (80.756) Epoch: [34][6050/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7595 (1.8060) Prec@1 57.031 (59.019) Prec@5 83.594 (80.758) Epoch: [34][6060/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.9467 (1.8060) Prec@1 58.594 (59.018) Prec@5 85.156 (80.758) Epoch: [34][6070/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7613 (1.8061) Prec@1 60.156 (59.018) Prec@5 81.250 (80.756) Epoch: [34][6080/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5882 (1.8059) Prec@1 64.844 (59.022) Prec@5 85.938 (80.759) Epoch: [34][6090/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7014 (1.8057) Prec@1 60.938 (59.024) Prec@5 84.375 (80.762) Epoch: [34][6100/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8827 (1.8056) Prec@1 61.719 (59.025) Prec@5 81.250 (80.763) Epoch: [34][6110/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9305 (1.8058) Prec@1 58.594 (59.021) Prec@5 78.906 (80.761) Epoch: [34][6120/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6336 (1.8058) Prec@1 57.031 (59.019) Prec@5 85.938 (80.763) Epoch: [34][6130/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7215 (1.8058) Prec@1 60.156 (59.016) Prec@5 81.250 (80.765) Epoch: [34][6140/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8965 (1.8058) Prec@1 55.469 (59.014) Prec@5 79.688 (80.763) Epoch: [34][6150/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8797 (1.8059) Prec@1 60.156 (59.011) Prec@5 78.906 (80.760) Epoch: [34][6160/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9851 (1.8059) Prec@1 60.938 (59.011) Prec@5 78.906 (80.763) Epoch: [34][6170/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6170 (1.8060) Prec@1 62.500 (59.009) Prec@5 83.594 (80.759) Epoch: [34][6180/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.4197 (1.8058) Prec@1 64.844 (59.014) Prec@5 88.281 (80.764) Epoch: [34][6190/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5787 (1.8058) Prec@1 60.156 (59.012) Prec@5 85.938 (80.763) Epoch: [34][6200/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1155 (1.8058) Prec@1 50.781 (59.016) Prec@5 78.906 (80.764) Epoch: [34][6210/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9200 (1.8058) Prec@1 51.562 (59.015) Prec@5 76.562 (80.765) Epoch: [34][6220/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6717 (1.8059) Prec@1 57.031 (59.010) Prec@5 80.469 (80.763) Epoch: [34][6230/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 2.0915 (1.8060) Prec@1 57.812 (59.012) Prec@5 75.000 (80.762) Epoch: [34][6240/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.4828 (1.8059) Prec@1 64.844 (59.014) Prec@5 88.281 (80.763) Epoch: [34][6250/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8394 (1.8060) Prec@1 60.156 (59.015) Prec@5 81.250 (80.762) Epoch: [34][6260/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9505 (1.8059) Prec@1 50.000 (59.014) Prec@5 78.906 (80.764) Epoch: [34][6270/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6824 (1.8060) Prec@1 64.844 (59.013) Prec@5 80.469 (80.762) Epoch: [34][6280/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8928 (1.8058) Prec@1 57.812 (59.013) Prec@5 81.250 (80.765) Epoch: [34][6290/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0378 (1.8060) Prec@1 53.906 (59.012) Prec@5 75.781 (80.763) Epoch: [34][6300/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7834 (1.8060) Prec@1 62.500 (59.012) Prec@5 79.688 (80.761) Epoch: [34][6310/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5665 (1.8061) Prec@1 61.719 (59.012) Prec@5 85.938 (80.761) Epoch: [34][6320/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7972 (1.8060) Prec@1 60.156 (59.012) Prec@5 81.250 (80.761) Epoch: [34][6330/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9206 (1.8059) Prec@1 58.594 (59.015) Prec@5 76.562 (80.760) Epoch: [34][6340/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7992 (1.8059) Prec@1 59.375 (59.017) Prec@5 77.344 (80.760) Epoch: [34][6350/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8470 (1.8060) Prec@1 60.156 (59.013) Prec@5 81.250 (80.757) Epoch: [34][6360/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7227 (1.8060) Prec@1 61.719 (59.013) Prec@5 83.594 (80.757) Epoch: [34][6370/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5611 (1.8061) Prec@1 62.500 (59.011) Prec@5 83.594 (80.758) Epoch: [34][6380/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8965 (1.8062) Prec@1 56.250 (59.009) Prec@5 83.594 (80.759) Epoch: [34][6390/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6952 (1.8063) Prec@1 60.156 (59.007) Prec@5 82.031 (80.757) Epoch: [34][6400/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8126 (1.8063) Prec@1 52.344 (59.005) Prec@5 78.906 (80.755) Epoch: [34][6410/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.5778 (1.8061) Prec@1 59.375 (59.007) Prec@5 82.031 (80.756) Epoch: [34][6420/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5564 (1.8060) Prec@1 64.062 (59.010) Prec@5 83.594 (80.758) Epoch: [34][6430/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0437 (1.8061) Prec@1 52.344 (59.009) Prec@5 73.438 (80.756) Epoch: [34][6440/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.3908 (1.8060) Prec@1 69.531 (59.014) Prec@5 85.156 (80.758) Epoch: [34][6450/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9301 (1.8059) Prec@1 56.250 (59.015) Prec@5 78.906 (80.758) Epoch: [34][6460/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6242 (1.8059) Prec@1 65.625 (59.015) Prec@5 83.594 (80.758) Epoch: [34][6470/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7884 (1.8059) Prec@1 61.719 (59.017) Prec@5 82.031 (80.756) Epoch: [34][6480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6020 (1.8061) Prec@1 63.281 (59.016) Prec@5 86.719 (80.755) Epoch: [34][6490/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6829 (1.8060) Prec@1 61.719 (59.016) Prec@5 82.812 (80.754) Epoch: [34][6500/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7083 (1.8060) Prec@1 57.812 (59.017) Prec@5 82.812 (80.754) Epoch: [34][6510/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.8537 (1.8061) Prec@1 57.031 (59.016) Prec@5 82.812 (80.752) Epoch: [34][6520/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6854 (1.8062) Prec@1 61.719 (59.016) Prec@5 82.031 (80.749) Epoch: [34][6530/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0237 (1.8062) Prec@1 56.250 (59.016) Prec@5 78.906 (80.747) Epoch: [34][6540/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7498 (1.8061) Prec@1 60.156 (59.015) Prec@5 82.031 (80.747) Epoch: [34][6550/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0653 (1.8064) Prec@1 52.344 (59.008) Prec@5 80.469 (80.744) Epoch: [34][6560/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9555 (1.8064) Prec@1 55.469 (59.007) Prec@5 81.250 (80.744) Epoch: [34][6570/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8839 (1.8065) Prec@1 56.250 (59.006) Prec@5 82.031 (80.745) Epoch: [34][6580/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7605 (1.8066) Prec@1 60.156 (59.003) Prec@5 82.031 (80.741) Epoch: [34][6590/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6296 (1.8064) Prec@1 62.500 (59.009) Prec@5 85.156 (80.745) Epoch: [34][6600/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6581 (1.8062) Prec@1 59.375 (59.010) Prec@5 85.156 (80.747) Epoch: [34][6610/10010] Time 0.312 (0.331) Data 0.000 (0.001) Loss 1.4546 (1.8063) Prec@1 66.406 (59.011) Prec@5 86.719 (80.747) Epoch: [34][6620/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9874 (1.8065) Prec@1 51.562 (59.007) Prec@5 79.688 (80.743) Epoch: [34][6630/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8441 (1.8066) Prec@1 54.688 (59.007) Prec@5 78.906 (80.741) Epoch: [34][6640/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1001 (1.8067) Prec@1 56.250 (59.007) Prec@5 76.562 (80.740) Epoch: [34][6650/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7192 (1.8066) Prec@1 60.156 (59.004) Prec@5 82.031 (80.741) Epoch: [34][6660/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7246 (1.8067) Prec@1 60.938 (59.004) Prec@5 83.594 (80.741) Epoch: [34][6670/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5166 (1.8067) Prec@1 63.281 (59.001) Prec@5 86.719 (80.741) Epoch: [34][6680/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.0001 (1.8067) Prec@1 58.594 (59.002) Prec@5 78.125 (80.742) Epoch: [34][6690/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6443 (1.8066) Prec@1 62.500 (59.004) Prec@5 84.375 (80.744) Epoch: [34][6700/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9139 (1.8065) Prec@1 55.469 (59.006) Prec@5 82.031 (80.745) Epoch: [34][6710/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7901 (1.8065) Prec@1 60.156 (59.007) Prec@5 82.031 (80.746) Epoch: [34][6720/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9694 (1.8065) Prec@1 53.125 (59.004) Prec@5 75.000 (80.745) Epoch: [34][6730/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7842 (1.8067) Prec@1 59.375 (59.001) Prec@5 78.906 (80.742) Epoch: [34][6740/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9032 (1.8067) Prec@1 53.125 (59.001) Prec@5 82.031 (80.743) Epoch: [34][6750/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9905 (1.8068) Prec@1 52.344 (58.997) Prec@5 82.031 (80.743) Epoch: [34][6760/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8108 (1.8068) Prec@1 55.469 (58.994) Prec@5 81.250 (80.742) Epoch: [34][6770/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7790 (1.8068) Prec@1 56.250 (58.992) Prec@5 82.812 (80.741) Epoch: [34][6780/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5084 (1.8069) Prec@1 63.281 (58.990) Prec@5 86.719 (80.740) Epoch: [34][6790/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9647 (1.8069) Prec@1 53.906 (58.987) Prec@5 78.906 (80.740) Epoch: [34][6800/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8839 (1.8069) Prec@1 55.469 (58.989) Prec@5 78.125 (80.740) Epoch: [34][6810/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7262 (1.8069) Prec@1 66.406 (58.988) Prec@5 80.469 (80.739) Epoch: [34][6820/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7480 (1.8070) Prec@1 58.594 (58.985) Prec@5 84.375 (80.737) Epoch: [34][6830/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9610 (1.8070) Prec@1 58.594 (58.983) Prec@5 78.906 (80.735) /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: [34][6840/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9345 (1.8071) Prec@1 53.125 (58.977) Prec@5 77.344 (80.735) Epoch: [34][6850/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5109 (1.8071) Prec@1 57.031 (58.977) Prec@5 86.719 (80.734) Epoch: [34][6860/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 2.1526 (1.8070) Prec@1 53.906 (58.975) Prec@5 78.125 (80.735) Epoch: [34][6870/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4248 (1.8070) Prec@1 66.406 (58.976) Prec@5 82.031 (80.735) Epoch: [34][6880/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.1927 (1.8071) Prec@1 49.219 (58.974) Prec@5 74.219 (80.734) Epoch: [34][6890/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8510 (1.8070) Prec@1 55.469 (58.973) Prec@5 78.125 (80.734) Epoch: [34][6900/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.2376 (1.8071) Prec@1 53.906 (58.974) Prec@5 71.094 (80.732) Epoch: [34][6910/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 1.5400 (1.8072) Prec@1 62.500 (58.973) Prec@5 85.156 (80.731) Epoch: [34][6920/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.5189 (1.8071) Prec@1 64.844 (58.973) Prec@5 84.375 (80.731) Epoch: [34][6930/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8651 (1.8071) Prec@1 60.156 (58.972) Prec@5 82.031 (80.732) Epoch: [34][6940/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7059 (1.8072) Prec@1 63.281 (58.972) Prec@5 78.906 (80.733) Epoch: [34][6950/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7609 (1.8071) Prec@1 57.031 (58.972) Prec@5 81.250 (80.735) Epoch: [34][6960/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7892 (1.8073) Prec@1 60.156 (58.968) Prec@5 82.031 (80.732) Epoch: [34][6970/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8237 (1.8073) Prec@1 55.469 (58.966) Prec@5 82.031 (80.732) Epoch: [34][6980/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6271 (1.8073) Prec@1 63.281 (58.968) Prec@5 84.375 (80.732) Epoch: [34][6990/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7845 (1.8072) Prec@1 57.031 (58.970) Prec@5 82.812 (80.734) Epoch: [34][7000/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6642 (1.8072) Prec@1 61.719 (58.969) Prec@5 84.375 (80.735) Epoch: [34][7010/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8543 (1.8073) Prec@1 55.469 (58.964) Prec@5 75.781 (80.732) Epoch: [34][7020/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5901 (1.8074) Prec@1 66.406 (58.966) Prec@5 83.594 (80.732) Epoch: [34][7030/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8141 (1.8074) Prec@1 58.594 (58.964) Prec@5 80.469 (80.731) Epoch: [34][7040/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9377 (1.8075) Prec@1 58.594 (58.965) Prec@5 82.031 (80.734) Epoch: [34][7050/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6519 (1.8074) Prec@1 62.500 (58.970) Prec@5 82.031 (80.734) Epoch: [34][7060/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1080 (1.8074) Prec@1 53.125 (58.971) Prec@5 79.688 (80.735) Epoch: [34][7070/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9249 (1.8074) Prec@1 56.250 (58.970) Prec@5 81.250 (80.734) Epoch: [34][7080/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9306 (1.8075) Prec@1 56.250 (58.970) Prec@5 75.781 (80.733) Epoch: [34][7090/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9207 (1.8074) Prec@1 57.812 (58.969) Prec@5 79.688 (80.733) Epoch: [34][7100/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8608 (1.8073) Prec@1 57.812 (58.972) Prec@5 77.344 (80.736) Epoch: [34][7110/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9877 (1.8073) Prec@1 56.250 (58.973) Prec@5 78.125 (80.735) Epoch: [34][7120/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5147 (1.8072) Prec@1 67.188 (58.974) Prec@5 85.156 (80.737) Epoch: [34][7130/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7232 (1.8073) Prec@1 58.594 (58.973) Prec@5 82.031 (80.735) Epoch: [34][7140/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6346 (1.8072) Prec@1 64.062 (58.976) Prec@5 80.469 (80.735) Epoch: [34][7150/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8346 (1.8072) Prec@1 60.156 (58.975) Prec@5 80.469 (80.736) Epoch: [34][7160/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8048 (1.8072) Prec@1 64.062 (58.975) Prec@5 79.688 (80.736) Epoch: [34][7170/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.8450 (1.8073) Prec@1 60.156 (58.974) Prec@5 79.688 (80.733) Epoch: [34][7180/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8080 (1.8074) Prec@1 59.375 (58.972) Prec@5 81.250 (80.731) Epoch: [34][7190/10010] Time 0.324 (0.330) Data 0.003 (0.001) Loss 1.8162 (1.8074) Prec@1 61.719 (58.973) Prec@5 82.031 (80.731) Epoch: [34][7200/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6031 (1.8074) Prec@1 67.188 (58.974) Prec@5 85.938 (80.732) Epoch: [34][7210/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.4499 (1.8074) Prec@1 63.281 (58.975) Prec@5 85.938 (80.732) Epoch: [34][7220/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0712 (1.8074) Prec@1 59.375 (58.977) Prec@5 74.219 (80.733) Epoch: [34][7230/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.4979 (1.8073) Prec@1 65.625 (58.976) Prec@5 85.156 (80.734) Epoch: [34][7240/10010] Time 0.306 (0.330) Data 0.001 (0.001) Loss 1.8226 (1.8073) Prec@1 60.156 (58.977) Prec@5 79.688 (80.734) Epoch: [34][7250/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8214 (1.8075) Prec@1 58.594 (58.974) Prec@5 80.469 (80.730) Epoch: [34][7260/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.9071 (1.8076) Prec@1 57.812 (58.973) Prec@5 78.906 (80.728) Epoch: [34][7270/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9356 (1.8076) Prec@1 57.031 (58.973) Prec@5 82.031 (80.727) Epoch: [34][7280/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.0349 (1.8076) Prec@1 57.812 (58.973) Prec@5 75.781 (80.726) /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: [34][7290/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.8807 (1.8076) Prec@1 55.469 (58.975) Prec@5 80.469 (80.727) Epoch: [34][7300/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9414 (1.8077) Prec@1 60.938 (58.973) Prec@5 80.469 (80.724) Epoch: [34][7310/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.1593 (1.8080) Prec@1 55.469 (58.969) Prec@5 75.781 (80.720) Epoch: [34][7320/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.8354 (1.8081) Prec@1 50.781 (58.966) Prec@5 81.250 (80.720) Epoch: [34][7330/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.5206 (1.8081) Prec@1 59.375 (58.966) Prec@5 85.156 (80.719) Epoch: [34][7340/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.9671 (1.8082) Prec@1 58.594 (58.966) Prec@5 77.344 (80.718) Epoch: [34][7350/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.5332 (1.8082) Prec@1 67.969 (58.968) Prec@5 82.812 (80.716) Epoch: [34][7360/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.8618 (1.8082) Prec@1 63.281 (58.969) Prec@5 81.250 (80.718) Epoch: [34][7370/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7056 (1.8082) Prec@1 60.938 (58.971) Prec@5 84.375 (80.718) Epoch: [34][7380/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.6606 (1.8084) Prec@1 64.844 (58.968) Prec@5 82.031 (80.715) Epoch: [34][7390/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.7092 (1.8084) Prec@1 58.594 (58.967) Prec@5 83.594 (80.714) Epoch: [34][7400/10010] Time 0.348 (0.330) Data 0.001 (0.001) Loss 2.0217 (1.8085) Prec@1 54.688 (58.966) Prec@5 78.125 (80.710) Epoch: [34][7410/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.8961 (1.8086) Prec@1 57.812 (58.964) Prec@5 75.000 (80.709) Epoch: [34][7420/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.9126 (1.8086) Prec@1 53.125 (58.961) Prec@5 79.688 (80.709) Epoch: [34][7430/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.5031 (1.8086) Prec@1 63.281 (58.960) Prec@5 82.812 (80.710) Epoch: [34][7440/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.6563 (1.8086) Prec@1 63.281 (58.958) Prec@5 85.938 (80.710) Epoch: [34][7450/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.7646 (1.8086) Prec@1 57.812 (58.957) Prec@5 82.812 (80.711) Epoch: [34][7460/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.8281 (1.8087) Prec@1 61.719 (58.954) Prec@5 78.906 (80.711) Epoch: [34][7470/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.9036 (1.8088) Prec@1 55.469 (58.952) Prec@5 79.688 (80.710) Epoch: [34][7480/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.5581 (1.8086) Prec@1 67.188 (58.955) Prec@5 83.594 (80.713) Epoch: [34][7490/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.2220 (1.8086) Prec@1 51.562 (58.953) Prec@5 74.219 (80.714) Epoch: [34][7500/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6255 (1.8086) Prec@1 62.500 (58.952) Prec@5 84.375 (80.714) Epoch: [34][7510/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.8923 (1.8087) Prec@1 55.469 (58.948) Prec@5 78.125 (80.712) Epoch: [34][7520/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.6875 (1.8087) Prec@1 62.500 (58.948) Prec@5 83.594 (80.712) Epoch: [34][7530/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8761 (1.8088) Prec@1 55.469 (58.945) Prec@5 78.906 (80.710) Epoch: [34][7540/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.7233 (1.8088) Prec@1 61.719 (58.945) Prec@5 80.469 (80.710) Epoch: [34][7550/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9520 (1.8088) Prec@1 61.719 (58.944) Prec@5 78.125 (80.711) Epoch: [34][7560/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.6805 (1.8088) Prec@1 55.469 (58.944) Prec@5 84.375 (80.711) Epoch: [34][7570/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.8388 (1.8087) Prec@1 54.688 (58.946) Prec@5 82.812 (80.712) Epoch: [34][7580/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7477 (1.8087) Prec@1 60.156 (58.946) Prec@5 82.031 (80.711) Epoch: [34][7590/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8275 (1.8087) Prec@1 60.156 (58.946) Prec@5 78.125 (80.712) Epoch: [34][7600/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7349 (1.8087) Prec@1 60.938 (58.945) Prec@5 81.250 (80.711) Epoch: [34][7610/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7993 (1.8087) Prec@1 53.906 (58.944) Prec@5 77.344 (80.710) Epoch: [34][7620/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7071 (1.8087) Prec@1 60.156 (58.945) Prec@5 81.250 (80.711) Epoch: [34][7630/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7084 (1.8088) Prec@1 62.500 (58.944) Prec@5 85.156 (80.709) Epoch: [34][7640/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7945 (1.8088) Prec@1 56.250 (58.945) Prec@5 80.469 (80.710) Epoch: [34][7650/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7066 (1.8087) Prec@1 60.938 (58.947) Prec@5 82.031 (80.712) Epoch: [34][7660/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.0976 (1.8087) Prec@1 57.031 (58.948) Prec@5 78.125 (80.712) Epoch: [34][7670/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0520 (1.8087) Prec@1 50.000 (58.945) Prec@5 75.000 (80.712) Epoch: [34][7680/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6975 (1.8087) Prec@1 54.688 (58.944) Prec@5 83.594 (80.713) Epoch: [34][7690/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7579 (1.8087) Prec@1 60.156 (58.945) Prec@5 80.469 (80.712) Epoch: [34][7700/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7487 (1.8087) Prec@1 58.594 (58.946) Prec@5 83.594 (80.712) Epoch: [34][7710/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7555 (1.8088) Prec@1 53.906 (58.944) Prec@5 78.125 (80.710) Epoch: [34][7720/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.5317 (1.8088) Prec@1 64.062 (58.945) Prec@5 82.812 (80.709) Epoch: [34][7730/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7154 (1.8088) Prec@1 59.375 (58.945) Prec@5 85.156 (80.711) Epoch: [34][7740/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7658 (1.8087) Prec@1 60.938 (58.947) Prec@5 77.344 (80.712) Epoch: [34][7750/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5900 (1.8088) Prec@1 62.500 (58.947) Prec@5 82.812 (80.710) Epoch: [34][7760/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.1477 (1.8088) Prec@1 56.250 (58.947) Prec@5 76.562 (80.712) Epoch: [34][7770/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6119 (1.8087) Prec@1 67.188 (58.948) Prec@5 82.812 (80.713) Epoch: [34][7780/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.6323 (1.8087) Prec@1 59.375 (58.950) Prec@5 81.250 (80.713) Epoch: [34][7790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8483 (1.8088) Prec@1 58.594 (58.947) Prec@5 79.688 (80.712) Epoch: [34][7800/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9321 (1.8088) Prec@1 58.594 (58.947) Prec@5 77.344 (80.711) Epoch: [34][7810/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8110 (1.8089) Prec@1 59.375 (58.946) Prec@5 76.562 (80.709) Epoch: [34][7820/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2070 (1.8090) Prec@1 57.812 (58.946) Prec@5 70.312 (80.707) Epoch: [34][7830/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8334 (1.8089) Prec@1 60.938 (58.949) Prec@5 79.688 (80.709) Epoch: [34][7840/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0206 (1.8089) Prec@1 57.812 (58.950) Prec@5 78.125 (80.710) Epoch: [34][7850/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9050 (1.8090) Prec@1 57.031 (58.949) Prec@5 78.125 (80.708) Epoch: [34][7860/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8157 (1.8091) Prec@1 60.938 (58.944) Prec@5 84.375 (80.707) Epoch: [34][7870/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.7511 (1.8090) Prec@1 63.281 (58.946) Prec@5 82.031 (80.708) Epoch: [34][7880/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7106 (1.8091) Prec@1 62.500 (58.946) Prec@5 82.031 (80.706) Epoch: [34][7890/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.6537 (1.8091) Prec@1 61.719 (58.946) Prec@5 81.250 (80.705) Epoch: [34][7900/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.8220 (1.8091) Prec@1 57.812 (58.945) Prec@5 82.031 (80.704) Epoch: [34][7910/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9658 (1.8091) Prec@1 57.812 (58.945) Prec@5 80.469 (80.706) Epoch: [34][7920/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.5337 (1.8090) Prec@1 60.156 (58.945) Prec@5 85.156 (80.706) Epoch: [34][7930/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.9950 (1.8091) Prec@1 53.906 (58.945) Prec@5 75.781 (80.705) Epoch: [34][7940/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.6955 (1.8091) Prec@1 58.594 (58.945) Prec@5 82.812 (80.705) Epoch: [34][7950/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7630 (1.8091) Prec@1 59.375 (58.943) Prec@5 77.344 (80.703) Epoch: [34][7960/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9048 (1.8091) Prec@1 57.812 (58.944) Prec@5 79.688 (80.702) Epoch: [34][7970/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.8684 (1.8091) Prec@1 56.250 (58.945) Prec@5 83.594 (80.704) Epoch: [34][7980/10010] Time 0.350 (0.330) Data 0.001 (0.001) Loss 1.7591 (1.8093) Prec@1 63.281 (58.942) Prec@5 82.031 (80.701) Epoch: [34][7990/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.6723 (1.8093) Prec@1 59.375 (58.942) Prec@5 84.375 (80.701) Epoch: [34][8000/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8922 (1.8093) Prec@1 54.688 (58.941) Prec@5 80.469 (80.701) Epoch: [34][8010/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.7474 (1.8093) Prec@1 58.594 (58.942) Prec@5 86.719 (80.701) Epoch: [34][8020/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.5431 (1.8092) Prec@1 63.281 (58.943) Prec@5 85.938 (80.703) Epoch: [34][8030/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.5317 (1.8091) Prec@1 66.406 (58.945) Prec@5 84.375 (80.704) Epoch: [34][8040/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8892 (1.8091) Prec@1 60.156 (58.945) Prec@5 75.781 (80.703) Epoch: [34][8050/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6700 (1.8090) Prec@1 62.500 (58.948) Prec@5 82.031 (80.704) Epoch: [34][8060/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.0401 (1.8090) Prec@1 56.250 (58.946) Prec@5 76.562 (80.705) Epoch: [34][8070/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1423 (1.8091) Prec@1 57.812 (58.943) Prec@5 78.906 (80.703) Epoch: [34][8080/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9608 (1.8092) Prec@1 57.812 (58.942) Prec@5 78.125 (80.702) Epoch: [34][8090/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1783 (1.8093) Prec@1 50.000 (58.939) Prec@5 72.656 (80.701) Epoch: [34][8100/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8251 (1.8093) Prec@1 61.719 (58.939) Prec@5 79.688 (80.702) Epoch: [34][8110/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9602 (1.8091) Prec@1 52.344 (58.941) Prec@5 78.125 (80.704) Epoch: [34][8120/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8032 (1.8092) Prec@1 58.594 (58.939) Prec@5 80.469 (80.702) Epoch: [34][8130/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5858 (1.8092) Prec@1 65.625 (58.937) Prec@5 82.812 (80.702) Epoch: [34][8140/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.4826 (1.8092) Prec@1 46.094 (58.935) Prec@5 70.312 (80.701) Epoch: [34][8150/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7973 (1.8092) Prec@1 57.812 (58.937) Prec@5 77.344 (80.700) Epoch: [34][8160/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6571 (1.8092) Prec@1 58.594 (58.935) Prec@5 84.375 (80.700) Epoch: [34][8170/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8395 (1.8093) Prec@1 57.812 (58.933) Prec@5 78.125 (80.699) Epoch: [34][8180/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7306 (1.8094) Prec@1 63.281 (58.933) Prec@5 83.594 (80.697) Epoch: [34][8190/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7876 (1.8094) Prec@1 60.938 (58.934) Prec@5 81.250 (80.696) Epoch: [34][8200/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7046 (1.8096) Prec@1 65.625 (58.931) Prec@5 80.469 (80.693) Epoch: [34][8210/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8998 (1.8096) Prec@1 57.031 (58.931) Prec@5 78.125 (80.692) Epoch: [34][8220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0188 (1.8096) Prec@1 50.781 (58.928) Prec@5 74.219 (80.691) Epoch: [34][8230/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7959 (1.8096) Prec@1 57.812 (58.928) Prec@5 80.469 (80.690) Epoch: [34][8240/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.6862 (1.8097) Prec@1 61.719 (58.929) Prec@5 81.250 (80.690) Epoch: [34][8250/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9994 (1.8097) Prec@1 57.031 (58.929) Prec@5 77.344 (80.691) Epoch: [34][8260/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.5591 (1.8099) Prec@1 64.062 (58.925) Prec@5 84.375 (80.688) Epoch: [34][8270/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0300 (1.8099) Prec@1 54.688 (58.925) Prec@5 75.781 (80.688) Epoch: [34][8280/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8952 (1.8098) Prec@1 51.562 (58.928) Prec@5 83.594 (80.689) Epoch: [34][8290/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2003 (1.8098) Prec@1 52.344 (58.925) Prec@5 72.656 (80.690) Epoch: [34][8300/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0376 (1.8098) Prec@1 53.906 (58.926) Prec@5 75.781 (80.689) Epoch: [34][8310/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9202 (1.8100) Prec@1 60.156 (58.924) Prec@5 78.125 (80.686) Epoch: [34][8320/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5818 (1.8100) Prec@1 64.062 (58.924) Prec@5 83.594 (80.685) Epoch: [34][8330/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.3965 (1.8099) Prec@1 63.281 (58.925) Prec@5 89.062 (80.686) Epoch: [34][8340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0682 (1.8099) Prec@1 49.219 (58.923) Prec@5 77.344 (80.686) Epoch: [34][8350/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7951 (1.8100) Prec@1 59.375 (58.922) Prec@5 85.156 (80.687) Epoch: [34][8360/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0082 (1.8100) Prec@1 50.781 (58.918) Prec@5 75.000 (80.686) Epoch: [34][8370/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.7709 (1.8100) Prec@1 63.281 (58.920) Prec@5 79.688 (80.688) Epoch: [34][8380/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8963 (1.8100) Prec@1 57.812 (58.919) Prec@5 82.812 (80.689) Epoch: [34][8390/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6681 (1.8100) Prec@1 61.719 (58.918) Prec@5 80.469 (80.686) Epoch: [34][8400/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6151 (1.8101) Prec@1 60.938 (58.916) Prec@5 85.156 (80.686) Epoch: [34][8410/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8526 (1.8102) Prec@1 58.594 (58.914) Prec@5 82.031 (80.685) Epoch: [34][8420/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.4978 (1.8101) Prec@1 60.156 (58.915) Prec@5 82.812 (80.683) Epoch: [34][8430/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6750 (1.8103) Prec@1 61.719 (58.911) Prec@5 82.031 (80.682) Epoch: [34][8440/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8343 (1.8103) Prec@1 55.469 (58.910) Prec@5 82.812 (80.681) Epoch: [34][8450/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0259 (1.8104) Prec@1 53.125 (58.908) Prec@5 78.125 (80.680) Epoch: [34][8460/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8570 (1.8104) Prec@1 57.812 (58.908) Prec@5 78.125 (80.681) Epoch: [34][8470/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7476 (1.8103) Prec@1 56.250 (58.908) Prec@5 81.250 (80.682) Epoch: [34][8480/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7923 (1.8103) Prec@1 61.719 (58.910) Prec@5 81.250 (80.682) Epoch: [34][8490/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0342 (1.8104) Prec@1 53.906 (58.909) Prec@5 78.906 (80.682) Epoch: [34][8500/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.5756 (1.8105) Prec@1 66.406 (58.909) Prec@5 82.812 (80.680) Epoch: [34][8510/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7129 (1.8106) Prec@1 64.844 (58.906) Prec@5 83.594 (80.677) Epoch: [34][8520/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6079 (1.8106) Prec@1 60.938 (58.905) Prec@5 81.250 (80.676) Epoch: [34][8530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8012 (1.8106) Prec@1 61.719 (58.905) Prec@5 78.125 (80.675) Epoch: [34][8540/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0421 (1.8107) Prec@1 57.812 (58.905) Prec@5 80.469 (80.673) Epoch: [34][8550/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6683 (1.8106) Prec@1 60.156 (58.905) Prec@5 82.812 (80.674) Epoch: [34][8560/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8457 (1.8108) Prec@1 56.250 (58.902) Prec@5 79.688 (80.671) Epoch: [34][8570/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.4739 (1.8107) Prec@1 68.750 (58.905) Prec@5 82.812 (80.672) Epoch: [34][8580/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9320 (1.8108) Prec@1 60.938 (58.902) Prec@5 81.250 (80.671) Epoch: [34][8590/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7883 (1.8108) Prec@1 60.938 (58.902) Prec@5 81.250 (80.671) Epoch: [34][8600/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6417 (1.8107) Prec@1 63.281 (58.905) Prec@5 84.375 (80.673) Epoch: [34][8610/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8435 (1.8107) Prec@1 58.594 (58.904) Prec@5 81.250 (80.673) Epoch: [34][8620/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.2356 (1.8107) Prec@1 54.688 (58.903) Prec@5 75.000 (80.672) Epoch: [34][8630/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.6339 (1.8106) Prec@1 57.031 (58.903) Prec@5 85.938 (80.676) Epoch: [34][8640/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9702 (1.8107) Prec@1 57.812 (58.902) Prec@5 78.125 (80.675) Epoch: [34][8650/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8228 (1.8106) Prec@1 56.250 (58.902) Prec@5 85.156 (80.675) Epoch: [34][8660/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5810 (1.8106) Prec@1 67.188 (58.904) Prec@5 84.375 (80.678) Epoch: [34][8670/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0795 (1.8107) Prec@1 54.688 (58.901) Prec@5 75.000 (80.677) Epoch: [34][8680/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9694 (1.8107) Prec@1 54.688 (58.898) Prec@5 78.125 (80.675) Epoch: [34][8690/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.7140 (1.8108) Prec@1 60.938 (58.895) Prec@5 82.031 (80.674) Epoch: [34][8700/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9845 (1.8109) Prec@1 55.469 (58.895) Prec@5 77.344 (80.673) Epoch: [34][8710/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.4853 (1.8108) Prec@1 61.719 (58.897) Prec@5 85.938 (80.675) Epoch: [34][8720/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7748 (1.8108) Prec@1 59.375 (58.898) Prec@5 80.469 (80.676) Epoch: [34][8730/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7380 (1.8108) Prec@1 57.031 (58.899) Prec@5 83.594 (80.675) Epoch: [34][8740/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9711 (1.8108) Prec@1 59.375 (58.898) Prec@5 76.562 (80.673) Epoch: [34][8750/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8111 (1.8109) Prec@1 60.938 (58.895) Prec@5 84.375 (80.672) Epoch: [34][8760/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7136 (1.8109) Prec@1 60.938 (58.895) Prec@5 82.031 (80.673) Epoch: [34][8770/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.2766 (1.8108) Prec@1 66.406 (58.896) Prec@5 89.062 (80.676) Epoch: [34][8780/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9029 (1.8107) Prec@1 60.156 (58.898) Prec@5 80.469 (80.676) Epoch: [34][8790/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7889 (1.8108) Prec@1 62.500 (58.897) Prec@5 77.344 (80.676) Epoch: [34][8800/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6850 (1.8108) Prec@1 60.938 (58.895) Prec@5 82.812 (80.676) Epoch: [34][8810/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.6500 (1.8108) Prec@1 63.281 (58.895) Prec@5 83.594 (80.677) Epoch: [34][8820/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8110 (1.8110) Prec@1 56.250 (58.892) Prec@5 80.469 (80.674) Epoch: [34][8830/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9544 (1.8110) Prec@1 53.125 (58.893) Prec@5 79.688 (80.675) Epoch: [34][8840/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7673 (1.8111) Prec@1 53.906 (58.890) Prec@5 84.375 (80.674) Epoch: [34][8850/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7479 (1.8111) Prec@1 59.375 (58.890) Prec@5 85.156 (80.675) Epoch: [34][8860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8854 (1.8111) Prec@1 58.594 (58.891) Prec@5 78.125 (80.675) Epoch: [34][8870/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7352 (1.8111) Prec@1 64.844 (58.891) Prec@5 82.812 (80.675) Epoch: [34][8880/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6935 (1.8112) Prec@1 60.156 (58.889) Prec@5 83.594 (80.676) Epoch: [34][8890/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7850 (1.8113) Prec@1 60.938 (58.889) Prec@5 79.688 (80.674) Epoch: [34][8900/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9615 (1.8113) Prec@1 58.594 (58.891) Prec@5 80.469 (80.675) Epoch: [34][8910/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.5632 (1.8112) Prec@1 61.719 (58.891) Prec@5 84.375 (80.676) Epoch: [34][8920/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8325 (1.8112) Prec@1 57.812 (58.892) Prec@5 79.688 (80.677) Epoch: [34][8930/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9856 (1.8113) Prec@1 57.031 (58.891) Prec@5 80.469 (80.676) Epoch: [34][8940/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8829 (1.8114) Prec@1 53.906 (58.888) Prec@5 78.906 (80.675) Epoch: [34][8950/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8539 (1.8114) Prec@1 63.281 (58.889) Prec@5 82.031 (80.674) Epoch: [34][8960/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8858 (1.8114) Prec@1 57.812 (58.889) Prec@5 78.125 (80.675) Epoch: [34][8970/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7805 (1.8115) Prec@1 59.375 (58.887) Prec@5 79.688 (80.674) Epoch: [34][8980/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6528 (1.8115) Prec@1 61.719 (58.887) Prec@5 81.250 (80.672) Epoch: [34][8990/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9379 (1.8115) Prec@1 51.562 (58.886) Prec@5 78.125 (80.671) Epoch: [34][9000/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7311 (1.8116) Prec@1 61.719 (58.883) Prec@5 84.375 (80.670) Epoch: [34][9010/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1469 (1.8118) Prec@1 50.000 (58.878) Prec@5 75.781 (80.667) Epoch: [34][9020/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7950 (1.8119) Prec@1 60.156 (58.875) Prec@5 83.594 (80.664) Epoch: [34][9030/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6620 (1.8120) Prec@1 61.719 (58.873) Prec@5 78.125 (80.663) Epoch: [34][9040/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8622 (1.8119) Prec@1 53.906 (58.873) Prec@5 78.906 (80.664) Epoch: [34][9050/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.2979 (1.8120) Prec@1 52.344 (58.870) Prec@5 71.094 (80.663) Epoch: [34][9060/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8535 (1.8120) Prec@1 60.156 (58.870) Prec@5 77.344 (80.662) Epoch: [34][9070/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7251 (1.8121) Prec@1 60.938 (58.865) Prec@5 83.594 (80.662) Epoch: [34][9080/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9195 (1.8122) Prec@1 53.906 (58.866) Prec@5 80.469 (80.661) Epoch: [34][9090/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6489 (1.8122) Prec@1 62.500 (58.866) Prec@5 83.594 (80.661) Epoch: [34][9100/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6352 (1.8121) Prec@1 60.156 (58.865) Prec@5 86.719 (80.662) Epoch: [34][9110/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0750 (1.8122) Prec@1 59.375 (58.864) Prec@5 75.781 (80.661) Epoch: [34][9120/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7398 (1.8123) Prec@1 60.938 (58.863) Prec@5 84.375 (80.661) Epoch: [34][9130/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.8132 (1.8123) Prec@1 58.594 (58.864) Prec@5 82.031 (80.660) Epoch: [34][9140/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0251 (1.8124) Prec@1 53.906 (58.863) Prec@5 77.344 (80.658) Epoch: [34][9150/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8827 (1.8124) Prec@1 61.719 (58.863) Prec@5 80.469 (80.658) Epoch: [34][9160/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8036 (1.8124) Prec@1 53.906 (58.862) Prec@5 81.250 (80.659) Epoch: [34][9170/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6981 (1.8123) Prec@1 60.938 (58.863) Prec@5 78.906 (80.660) Epoch: [34][9180/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9327 (1.8123) Prec@1 58.594 (58.862) Prec@5 78.906 (80.659) Epoch: [34][9190/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.3388 (1.8122) Prec@1 66.406 (58.864) Prec@5 89.062 (80.660) Epoch: [34][9200/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6628 (1.8122) Prec@1 63.281 (58.865) Prec@5 82.031 (80.661) Epoch: [34][9210/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0407 (1.8122) Prec@1 53.906 (58.862) Prec@5 75.781 (80.660) Epoch: [34][9220/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7882 (1.8122) Prec@1 59.375 (58.862) Prec@5 78.906 (80.659) Epoch: [34][9230/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8554 (1.8123) Prec@1 59.375 (58.862) Prec@5 78.906 (80.658) Epoch: [34][9240/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4114 (1.8122) Prec@1 67.188 (58.863) Prec@5 87.500 (80.659) Epoch: [34][9250/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.4894 (1.8122) Prec@1 67.188 (58.864) Prec@5 86.719 (80.658) Epoch: [34][9260/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6684 (1.8122) Prec@1 70.312 (58.864) Prec@5 82.031 (80.659) Epoch: [34][9270/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6489 (1.8122) Prec@1 60.938 (58.862) Prec@5 82.031 (80.659) Epoch: [34][9280/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1527 (1.8123) Prec@1 53.906 (58.861) Prec@5 72.656 (80.658) Epoch: [34][9290/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.4814 (1.8123) Prec@1 67.188 (58.862) Prec@5 86.719 (80.657) Epoch: [34][9300/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 2.0818 (1.8122) Prec@1 60.156 (58.863) Prec@5 78.125 (80.658) Epoch: [34][9310/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9338 (1.8123) Prec@1 55.469 (58.862) Prec@5 82.031 (80.657) Epoch: [34][9320/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.6981 (1.8122) Prec@1 58.594 (58.864) Prec@5 82.812 (80.659) Epoch: [34][9330/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.8946 (1.8123) Prec@1 58.594 (58.863) Prec@5 78.906 (80.657) Epoch: [34][9340/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.9690 (1.8123) Prec@1 55.469 (58.862) Prec@5 78.125 (80.657) Epoch: [34][9350/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9245 (1.8123) Prec@1 58.594 (58.862) Prec@5 77.344 (80.657) Epoch: [34][9360/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.8631 (1.8124) Prec@1 57.812 (58.862) Prec@5 81.250 (80.655) Epoch: [34][9370/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.8822 (1.8124) Prec@1 57.812 (58.863) Prec@5 81.250 (80.656) Epoch: [34][9380/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8142 (1.8124) Prec@1 59.375 (58.860) Prec@5 78.906 (80.655) Epoch: [34][9390/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6599 (1.8125) Prec@1 64.062 (58.859) Prec@5 80.469 (80.653) Epoch: [34][9400/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8630 (1.8126) Prec@1 59.375 (58.856) Prec@5 79.688 (80.653) Epoch: [34][9410/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7402 (1.8126) Prec@1 59.375 (58.854) Prec@5 82.812 (80.655) Epoch: [34][9420/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9776 (1.8126) Prec@1 55.469 (58.855) Prec@5 76.562 (80.654) Epoch: [34][9430/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5299 (1.8126) Prec@1 64.062 (58.855) Prec@5 85.938 (80.655) Epoch: [34][9440/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.4879 (1.8126) Prec@1 60.156 (58.857) Prec@5 82.031 (80.655) Epoch: [34][9450/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6140 (1.8126) Prec@1 64.844 (58.859) Prec@5 85.156 (80.657) Epoch: [34][9460/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.8727 (1.8126) Prec@1 51.562 (58.858) Prec@5 79.688 (80.655) Epoch: [34][9470/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.8050 (1.8126) Prec@1 57.812 (58.857) Prec@5 78.125 (80.656) Epoch: [34][9480/10010] Time 0.315 (0.330) Data 0.000 (0.001) Loss 1.9087 (1.8126) Prec@1 54.688 (58.857) Prec@5 80.469 (80.657) Epoch: [34][9490/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.9366 (1.8127) Prec@1 50.000 (58.855) Prec@5 79.688 (80.655) Epoch: [34][9500/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.9831 (1.8126) Prec@1 57.812 (58.855) Prec@5 76.562 (80.656) Epoch: [34][9510/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7076 (1.8126) Prec@1 60.938 (58.856) Prec@5 82.812 (80.657) Epoch: [34][9520/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8877 (1.8126) Prec@1 54.688 (58.854) Prec@5 80.469 (80.657) Epoch: [34][9530/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.6469 (1.8126) Prec@1 57.031 (58.854) Prec@5 78.906 (80.658) Epoch: [34][9540/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.2427 (1.8125) Prec@1 68.750 (58.855) Prec@5 91.406 (80.659) Epoch: [34][9550/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.0067 (1.8126) Prec@1 57.812 (58.854) Prec@5 79.688 (80.656) Epoch: [34][9560/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8685 (1.8127) Prec@1 57.812 (58.853) Prec@5 77.344 (80.654) Epoch: [34][9570/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.6295 (1.8128) Prec@1 60.938 (58.851) Prec@5 82.031 (80.653) Epoch: [34][9580/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.1388 (1.8127) Prec@1 50.781 (58.852) Prec@5 77.344 (80.653) Epoch: [34][9590/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.4674 (1.8125) Prec@1 61.719 (58.854) Prec@5 86.719 (80.655) Epoch: [34][9600/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.0221 (1.8125) Prec@1 52.344 (58.857) Prec@5 75.000 (80.655) Epoch: [34][9610/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9948 (1.8125) Prec@1 57.812 (58.857) Prec@5 78.125 (80.656) Epoch: [34][9620/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.6509 (1.8124) Prec@1 62.500 (58.860) Prec@5 83.594 (80.656) Epoch: [34][9630/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.9968 (1.8124) Prec@1 57.031 (58.859) Prec@5 77.344 (80.657) Epoch: [34][9640/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.9554 (1.8125) Prec@1 50.781 (58.858) Prec@5 77.344 (80.656) Epoch: [34][9650/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.9251 (1.8125) Prec@1 53.906 (58.860) Prec@5 76.562 (80.653) Epoch: [34][9660/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8165 (1.8126) Prec@1 60.156 (58.858) Prec@5 78.906 (80.653) Epoch: [34][9670/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8946 (1.8126) Prec@1 57.812 (58.858) Prec@5 75.781 (80.653) Epoch: [34][9680/10010] Time 0.348 (0.330) Data 0.001 (0.001) Loss 2.0583 (1.8127) Prec@1 54.688 (58.856) Prec@5 76.562 (80.652) Epoch: [34][9690/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.9487 (1.8126) Prec@1 57.812 (58.856) Prec@5 77.344 (80.653) Epoch: [34][9700/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.1288 (1.8127) Prec@1 58.594 (58.857) Prec@5 75.781 (80.652) Epoch: [34][9710/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.0628 (1.8128) Prec@1 53.125 (58.855) Prec@5 75.781 (80.651) Epoch: [34][9720/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.4993 (1.8128) Prec@1 60.938 (58.855) Prec@5 88.281 (80.653) Epoch: [34][9730/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7854 (1.8128) Prec@1 59.375 (58.855) Prec@5 84.375 (80.651) Epoch: [34][9740/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8935 (1.8128) Prec@1 60.938 (58.856) Prec@5 78.906 (80.652) Epoch: [34][9750/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.7680 (1.8127) Prec@1 57.812 (58.858) Prec@5 82.031 (80.653) Epoch: [34][9760/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.7833 (1.8127) Prec@1 60.938 (58.858) Prec@5 80.469 (80.652) Epoch: [34][9770/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.8460 (1.8127) Prec@1 60.156 (58.858) Prec@5 79.688 (80.652) Epoch: [34][9780/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.0372 (1.8128) Prec@1 53.125 (58.856) Prec@5 75.781 (80.652) Epoch: [34][9790/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.1119 (1.8129) Prec@1 56.250 (58.854) Prec@5 75.781 (80.651) Epoch: [34][9800/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.0451 (1.8129) Prec@1 49.219 (58.854) Prec@5 75.781 (80.651) Epoch: [34][9810/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8674 (1.8128) Prec@1 59.375 (58.855) Prec@5 82.031 (80.653) Epoch: [34][9820/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.7848 (1.8129) Prec@1 58.594 (58.855) Prec@5 84.375 (80.652) Epoch: [34][9830/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.6898 (1.8129) Prec@1 56.250 (58.853) Prec@5 83.594 (80.653) Epoch: [34][9840/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.7759 (1.8129) Prec@1 63.281 (58.853) Prec@5 78.125 (80.653) Epoch: [34][9850/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.6240 (1.8129) Prec@1 65.625 (58.854) Prec@5 82.031 (80.652) Epoch: [34][9860/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6530 (1.8129) Prec@1 58.594 (58.853) Prec@5 84.375 (80.653) Epoch: [34][9870/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6586 (1.8130) Prec@1 63.281 (58.852) Prec@5 81.250 (80.653) Epoch: [34][9880/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.6833 (1.8130) Prec@1 61.719 (58.850) Prec@5 79.688 (80.653) Epoch: [34][9890/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.9426 (1.8131) Prec@1 59.375 (58.849) Prec@5 78.125 (80.651) Epoch: [34][9900/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.0266 (1.8132) Prec@1 59.375 (58.849) Prec@5 78.125 (80.648) Epoch: [34][9910/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.6922 (1.8131) Prec@1 64.062 (58.849) Prec@5 86.719 (80.650) Epoch: [34][9920/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.6721 (1.8132) Prec@1 64.062 (58.849) Prec@5 83.594 (80.650) Epoch: [34][9930/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.9220 (1.8132) Prec@1 56.250 (58.849) Prec@5 78.125 (80.650) Epoch: [34][9940/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.6307 (1.8131) Prec@1 58.594 (58.851) Prec@5 81.250 (80.650) Epoch: [34][9950/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.1863 (1.8131) Prec@1 54.688 (58.850) Prec@5 73.438 (80.649) Epoch: [34][9960/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.2120 (1.8132) Prec@1 52.344 (58.848) Prec@5 71.094 (80.648) Epoch: [34][9970/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.9376 (1.8132) Prec@1 56.250 (58.850) Prec@5 82.031 (80.648) Epoch: [34][9980/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.7187 (1.8132) Prec@1 59.375 (58.849) Prec@5 82.812 (80.648) Epoch: [34][9990/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.7890 (1.8132) Prec@1 58.594 (58.847) Prec@5 81.250 (80.647) Epoch: [34][10000/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.1577 (1.8133) Prec@1 50.781 (58.844) Prec@5 78.125 (80.646) Test: [0/391] Time 1.554 (1.554) Loss 0.7168 (0.7168) Prec@1 86.719 (86.719) Prec@5 92.969 (92.969) Test: [10/391] Time 0.108 (0.244) Loss 1.4874 (0.8503) Prec@1 67.188 (79.688) Prec@5 85.938 (93.466) Test: [20/391] Time 0.103 (0.178) Loss 1.3158 (1.1468) Prec@1 72.656 (72.061) Prec@5 87.500 (89.621) Test: [30/391] Time 0.103 (0.155) Loss 1.7457 (1.2751) Prec@1 67.188 (68.422) Prec@5 86.719 (88.609) Test: [40/391] Time 0.105 (0.143) Loss 1.3180 (1.1513) Prec@1 71.094 (71.494) Prec@5 88.281 (89.996) Test: [50/391] Time 0.105 (0.135) Loss 0.5981 (1.1745) Prec@1 85.156 (71.124) Prec@5 92.969 (89.553) Test: [60/391] Time 0.107 (0.131) Loss 1.0517 (1.1125) Prec@1 73.438 (72.618) Prec@5 92.188 (90.151) Test: [70/391] Time 0.103 (0.127) Loss 1.3896 (1.1502) Prec@1 59.375 (71.347) Prec@5 92.188 (90.130) Test: [80/391] Time 0.104 (0.124) Loss 1.3995 (1.1845) Prec@1 64.844 (69.985) Prec@5 87.500 (90.008) Test: [90/391] Time 0.112 (0.122) Loss 1.2647 (1.1907) Prec@1 64.062 (69.857) Prec@5 93.750 (90.118) Test: [100/391] Time 0.105 (0.121) Loss 0.8756 (1.1839) Prec@1 78.125 (69.670) Prec@5 94.531 (90.447) Test: [110/391] Time 0.106 (0.120) Loss 1.2989 (1.1895) Prec@1 56.250 (69.285) Prec@5 92.969 (90.470) Test: [120/391] Time 0.102 (0.119) Loss 0.9005 (1.1804) Prec@1 75.781 (69.557) Prec@5 93.750 (90.657) Test: [130/391] Time 0.110 (0.118) Loss 0.7280 (1.1702) Prec@1 85.938 (69.955) Prec@5 96.094 (90.750) Test: [140/391] Time 0.107 (0.117) Loss 1.4279 (1.1708) Prec@1 59.375 (69.947) Prec@5 87.500 (90.747) Test: [150/391] Time 0.107 (0.117) Loss 1.1971 (1.1786) Prec@1 60.156 (69.883) Prec@5 90.625 (90.537) Test: [160/391] Time 0.108 (0.116) Loss 1.5606 (1.1818) Prec@1 59.375 (69.915) Prec@5 82.812 (90.450) Test: [170/391] Time 0.100 (0.115) Loss 1.7890 (1.2172) Prec@1 56.250 (69.225) Prec@5 86.719 (90.008) Test: [180/391] Time 0.102 (0.115) Loss 2.3684 (1.2532) Prec@1 42.969 (68.482) Prec@5 80.469 (89.559) Test: [190/391] Time 0.106 (0.114) Loss 2.1691 (1.2854) Prec@1 49.219 (67.969) Prec@5 81.250 (89.054) Test: [200/391] Time 0.107 (0.114) Loss 1.3491 (1.3201) Prec@1 68.750 (67.343) Prec@5 86.719 (88.600) Test: [210/391] Time 0.110 (0.114) Loss 1.5984 (1.3365) Prec@1 62.500 (67.073) Prec@5 85.156 (88.378) Test: [220/391] Time 0.106 (0.114) Loss 0.8977 (1.3465) Prec@1 80.469 (66.982) Prec@5 92.969 (88.126) Test: [230/391] Time 0.104 (0.113) Loss 2.4961 (1.3632) Prec@1 44.531 (66.657) Prec@5 71.094 (87.872) Test: [240/391] Time 0.115 (0.113) Loss 1.9350 (1.3718) Prec@1 60.156 (66.572) Prec@5 81.250 (87.753) Test: [250/391] Time 0.108 (0.113) Loss 1.1582 (1.4007) Prec@1 74.219 (66.008) Prec@5 88.281 (87.347) Test: [260/391] Time 0.104 (0.113) Loss 1.7932 (1.4213) Prec@1 59.375 (65.574) Prec@5 80.469 (87.078) Test: [270/391] Time 0.107 (0.112) Loss 2.3231 (1.4345) Prec@1 46.094 (65.302) Prec@5 74.219 (86.823) Test: [280/391] Time 0.108 (0.112) Loss 1.7724 (1.4451) Prec@1 55.469 (65.136) Prec@5 83.594 (86.708) Test: [290/391] Time 0.101 (0.112) Loss 2.0981 (1.4611) Prec@1 33.594 (64.812) Prec@5 78.906 (86.437) Test: [300/391] Time 0.105 (0.112) Loss 1.4763 (1.4726) Prec@1 75.781 (64.631) Prec@5 85.156 (86.254) Test: [310/391] Time 0.101 (0.112) Loss 1.8651 (1.4843) Prec@1 59.375 (64.399) Prec@5 78.125 (86.035) Test: [320/391] Time 0.112 (0.112) Loss 0.9217 (1.4918) Prec@1 81.250 (64.260) Prec@5 92.188 (85.942) Test: [330/391] Time 0.109 (0.111) Loss 2.4387 (1.5134) Prec@1 42.188 (63.798) Prec@5 72.656 (85.640) Test: [340/391] Time 0.104 (0.111) Loss 1.4654 (1.5210) Prec@1 54.688 (63.542) Prec@5 92.188 (85.548) Test: [350/391] Time 0.103 (0.111) Loss 1.5229 (1.5268) Prec@1 64.844 (63.442) Prec@5 88.281 (85.448) Test: [360/391] Time 0.107 (0.111) Loss 1.8440 (1.5359) Prec@1 50.000 (63.234) Prec@5 82.031 (85.347) Test: [370/391] Time 0.110 (0.111) Loss 1.3090 (1.5307) Prec@1 63.281 (63.292) Prec@5 91.406 (85.417) Test: [380/391] Time 0.156 (0.111) Loss 1.2212 (1.5309) Prec@1 71.094 (63.289) Prec@5 90.625 (85.423) Test: [390/391] Time 0.068 (0.111) Loss 2.1639 (1.5248) Prec@1 43.750 (63.434) Prec@5 77.500 (85.500) * Prec@1 63.434 Prec@5 85.500 Epoch: [35][0/10010] Time 2.621 (2.621) Data 2.465 (2.465) Loss 1.8380 (1.8380) Prec@1 57.812 (57.812) Prec@5 78.906 (78.906) Epoch: [35][10/10010] Time 0.326 (0.530) Data 0.000 (0.232) Loss 1.5938 (1.7497) Prec@1 62.500 (59.588) Prec@5 84.375 (80.895) Epoch: [35][20/10010] Time 0.320 (0.430) Data 0.000 (0.122) Loss 1.8765 (1.7632) Prec@1 56.250 (60.119) Prec@5 80.469 (80.804) Epoch: [35][30/10010] Time 0.317 (0.395) Data 0.000 (0.083) Loss 1.9252 (1.7879) Prec@1 58.594 (59.854) Prec@5 82.031 (80.822) Epoch: [35][40/10010] Time 0.339 (0.378) Data 0.000 (0.063) Loss 1.7552 (1.7823) Prec@1 59.375 (59.775) Prec@5 84.375 (81.307) Epoch: [35][50/10010] Time 0.321 (0.368) Data 0.000 (0.050) Loss 1.5445 (1.8015) Prec@1 64.844 (59.743) Prec@5 83.594 (81.020) Epoch: [35][60/10010] Time 0.331 (0.362) Data 0.001 (0.042) Loss 1.6971 (1.7927) Prec@1 67.188 (59.926) Prec@5 83.594 (81.109) Epoch: [35][70/10010] Time 0.339 (0.359) Data 0.001 (0.036) Loss 2.0111 (1.8010) Prec@1 56.250 (59.782) Prec@5 73.438 (80.931) /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][80/10010] Time 0.323 (0.355) Data 0.000 (0.032) Loss 1.9471 (1.7996) Prec@1 58.594 (59.857) Prec@5 79.688 (81.009) Epoch: [35][90/10010] Time 0.329 (0.352) Data 0.000 (0.028) Loss 1.7163 (1.7926) Prec@1 57.031 (59.890) Prec@5 85.156 (81.138) Epoch: [35][100/10010] Time 0.336 (0.350) Data 0.001 (0.026) Loss 1.9427 (1.7842) Prec@1 59.375 (59.924) Prec@5 82.031 (81.281) Epoch: [35][110/10010] Time 0.329 (0.348) Data 0.001 (0.023) Loss 1.9974 (1.7835) Prec@1 55.469 (59.938) Prec@5 71.875 (81.130) Epoch: [35][120/10010] Time 0.328 (0.347) Data 0.000 (0.022) Loss 1.7795 (1.7849) Prec@1 58.594 (59.866) Prec@5 78.906 (81.056) Epoch: [35][130/10010] Time 0.329 (0.345) Data 0.001 (0.020) Loss 1.3494 (1.7852) Prec@1 68.750 (59.840) Prec@5 85.938 (81.071) Epoch: [35][140/10010] Time 0.336 (0.344) Data 0.000 (0.019) Loss 1.7544 (1.7841) Prec@1 57.812 (59.863) Prec@5 77.344 (81.062) Epoch: [35][150/10010] Time 0.333 (0.344) Data 0.000 (0.017) Loss 1.6758 (1.7827) Prec@1 58.594 (59.748) Prec@5 85.938 (81.105) Epoch: [35][160/10010] Time 0.333 (0.343) Data 0.000 (0.016) Loss 1.7570 (1.7811) Prec@1 62.500 (59.783) Prec@5 82.812 (81.211) Epoch: [35][170/10010] Time 0.339 (0.342) Data 0.001 (0.015) Loss 1.7337 (1.7760) Prec@1 59.375 (59.804) Prec@5 78.125 (81.300) Epoch: [35][180/10010] Time 0.341 (0.341) Data 0.000 (0.015) Loss 1.6182 (1.7789) Prec@1 61.719 (59.738) Prec@5 85.938 (81.246) Epoch: [35][190/10010] Time 0.340 (0.341) Data 0.000 (0.014) Loss 2.0570 (1.7841) Prec@1 60.938 (59.649) Prec@5 76.562 (81.168) Epoch: [35][200/10010] Time 0.334 (0.340) Data 0.001 (0.013) Loss 1.7721 (1.7841) Prec@1 54.688 (59.565) Prec@5 81.250 (81.161) Epoch: [35][210/10010] Time 0.344 (0.340) Data 0.001 (0.013) Loss 2.0845 (1.7826) Prec@1 55.469 (59.593) Prec@5 74.219 (81.128) Epoch: [35][220/10010] Time 0.323 (0.339) Data 0.000 (0.012) Loss 1.7067 (1.7818) Prec@1 58.594 (59.576) Prec@5 82.812 (81.137) Epoch: [35][230/10010] Time 0.327 (0.339) Data 0.000 (0.012) Loss 1.7359 (1.7772) Prec@1 57.812 (59.683) Prec@5 83.594 (81.159) Epoch: [35][240/10010] Time 0.328 (0.338) Data 0.000 (0.011) Loss 2.3221 (1.7783) Prec@1 47.656 (59.664) Prec@5 69.531 (81.101) Epoch: [35][250/10010] Time 0.336 (0.338) Data 0.000 (0.011) Loss 1.7924 (1.7751) Prec@1 59.375 (59.714) Prec@5 80.469 (81.138) Epoch: [35][260/10010] Time 0.334 (0.337) Data 0.000 (0.010) Loss 1.7048 (1.7747) Prec@1 64.062 (59.749) Prec@5 84.375 (81.175) Epoch: [35][270/10010] Time 0.327 (0.337) Data 0.000 (0.010) Loss 1.5069 (1.7740) Prec@1 66.406 (59.678) Prec@5 85.156 (81.166) Epoch: [35][280/10010] Time 0.343 (0.337) Data 0.000 (0.010) Loss 1.9403 (1.7746) Prec@1 55.469 (59.684) Prec@5 75.781 (81.161) Epoch: [35][290/10010] Time 0.338 (0.337) Data 0.001 (0.009) Loss 1.5266 (1.7736) Prec@1 66.406 (59.719) Prec@5 83.594 (81.172) Epoch: [35][300/10010] Time 0.322 (0.336) Data 0.000 (0.009) Loss 1.9440 (1.7750) Prec@1 57.812 (59.702) Prec@5 82.031 (81.162) Epoch: [35][310/10010] Time 0.328 (0.336) Data 0.000 (0.009) Loss 2.0095 (1.7783) Prec@1 53.125 (59.641) Prec@5 82.812 (81.132) Epoch: [35][320/10010] Time 0.326 (0.336) Data 0.001 (0.008) Loss 1.7676 (1.7786) Prec@1 57.812 (59.604) Prec@5 81.250 (81.148) Epoch: [35][330/10010] Time 0.340 (0.336) Data 0.000 (0.008) Loss 2.2435 (1.7812) Prec@1 54.688 (59.642) Prec@5 74.219 (81.139) Epoch: [35][340/10010] Time 0.324 (0.335) Data 0.001 (0.008) Loss 1.7942 (1.7813) Prec@1 57.031 (59.590) Prec@5 84.375 (81.154) Epoch: [35][350/10010] Time 0.346 (0.335) Data 0.001 (0.008) Loss 1.4208 (1.7800) Prec@1 64.844 (59.609) Prec@5 85.156 (81.152) Epoch: [35][360/10010] Time 0.321 (0.335) Data 0.000 (0.008) Loss 1.8972 (1.7800) Prec@1 60.156 (59.589) Prec@5 78.125 (81.155) Epoch: [35][370/10010] Time 0.337 (0.335) Data 0.000 (0.007) Loss 2.0069 (1.7820) Prec@1 52.344 (59.512) Prec@5 75.781 (81.119) Epoch: [35][380/10010] Time 0.332 (0.335) Data 0.001 (0.007) Loss 1.2980 (1.7821) Prec@1 70.312 (59.514) Prec@5 89.844 (81.129) Epoch: [35][390/10010] Time 0.338 (0.335) Data 0.001 (0.007) Loss 1.9093 (1.7795) Prec@1 60.156 (59.565) Prec@5 79.688 (81.154) /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][400/10010] Time 0.340 (0.335) Data 0.000 (0.007) Loss 1.6175 (1.7812) Prec@1 63.281 (59.552) Prec@5 82.031 (81.123) Epoch: [35][410/10010] Time 0.330 (0.335) Data 0.000 (0.007) Loss 1.6713 (1.7796) Prec@1 62.500 (59.567) Prec@5 85.938 (81.149) Epoch: [35][420/10010] Time 0.349 (0.335) Data 0.000 (0.007) Loss 1.6139 (1.7786) Prec@1 61.719 (59.549) Prec@5 81.250 (81.155) Epoch: [35][430/10010] Time 0.341 (0.335) Data 0.000 (0.006) Loss 1.7718 (1.7792) Prec@1 60.938 (59.515) Prec@5 83.594 (81.156) Epoch: [35][440/10010] Time 0.340 (0.335) Data 0.000 (0.006) Loss 1.3944 (1.7775) Prec@1 69.531 (59.545) Prec@5 85.156 (81.176) Epoch: [35][450/10010] Time 0.340 (0.335) Data 0.000 (0.006) Loss 1.5681 (1.7778) Prec@1 61.719 (59.560) Prec@5 89.062 (81.205) Epoch: [35][460/10010] Time 0.327 (0.335) Data 0.000 (0.006) Loss 1.6253 (1.7785) Prec@1 59.375 (59.531) Prec@5 83.594 (81.187) Epoch: [35][470/10010] Time 0.340 (0.335) Data 0.001 (0.006) Loss 1.8063 (1.7792) Prec@1 64.062 (59.551) Prec@5 79.688 (81.179) Epoch: [35][480/10010] Time 0.336 (0.334) Data 0.000 (0.006) Loss 1.6164 (1.7807) Prec@1 62.500 (59.552) Prec@5 86.719 (81.167) Epoch: [35][490/10010] Time 0.360 (0.335) Data 0.000 (0.006) Loss 1.7803 (1.7805) Prec@1 60.938 (59.564) Prec@5 82.031 (81.177) /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: [35][500/10010] Time 0.320 (0.335) Data 0.000 (0.006) Loss 1.5658 (1.7790) Prec@1 64.062 (59.582) Prec@5 85.156 (81.208) Epoch: [35][510/10010] Time 0.326 (0.334) Data 0.001 (0.006) Loss 1.8406 (1.7797) Prec@1 58.594 (59.597) Prec@5 79.688 (81.193) Epoch: [35][520/10010] Time 0.340 (0.335) Data 0.000 (0.005) Loss 1.7474 (1.7816) Prec@1 59.375 (59.579) Prec@5 78.125 (81.178) Epoch: [35][530/10010] Time 0.313 (0.334) Data 0.000 (0.005) Loss 1.7878 (1.7807) Prec@1 53.125 (59.562) Prec@5 83.594 (81.191) Epoch: [35][540/10010] Time 0.333 (0.334) Data 0.001 (0.005) Loss 1.7315 (1.7811) Prec@1 64.844 (59.563) Prec@5 80.469 (81.175) Epoch: [35][550/10010] Time 0.335 (0.334) Data 0.000 (0.005) Loss 1.8262 (1.7814) Prec@1 57.031 (59.555) Prec@5 79.688 (81.158) Epoch: [35][560/10010] Time 0.326 (0.334) Data 0.000 (0.005) Loss 1.8802 (1.7809) Prec@1 58.594 (59.559) Prec@5 82.031 (81.161) Epoch: [35][570/10010] Time 0.327 (0.334) Data 0.000 (0.005) Loss 1.9719 (1.7817) Prec@1 51.562 (59.521) Prec@5 78.906 (81.172) Epoch: [35][580/10010] Time 0.330 (0.334) Data 0.000 (0.005) Loss 1.9915 (1.7827) Prec@1 51.562 (59.495) Prec@5 74.219 (81.137) Epoch: [35][590/10010] Time 0.336 (0.334) Data 0.001 (0.005) Loss 2.0969 (1.7830) Prec@1 59.375 (59.516) Prec@5 76.562 (81.143) Epoch: [35][600/10010] Time 0.344 (0.334) Data 0.000 (0.005) Loss 2.3346 (1.7827) Prec@1 51.562 (59.519) Prec@5 74.219 (81.133) Epoch: [35][610/10010] Time 0.345 (0.334) Data 0.001 (0.005) Loss 1.7554 (1.7823) Prec@1 60.938 (59.521) Prec@5 79.688 (81.148) Epoch: [35][620/10010] Time 0.316 (0.334) Data 0.001 (0.005) Loss 1.6496 (1.7834) Prec@1 59.375 (59.520) Prec@5 85.938 (81.127) Epoch: [35][630/10010] Time 0.322 (0.334) Data 0.000 (0.005) Loss 1.6938 (1.7844) Prec@1 63.281 (59.537) Prec@5 78.906 (81.111) Epoch: [35][640/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 1.6264 (1.7825) Prec@1 60.156 (59.553) Prec@5 82.812 (81.144) Epoch: [35][650/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 1.6058 (1.7830) Prec@1 65.625 (59.551) Prec@5 83.594 (81.142) Epoch: [35][660/10010] Time 0.343 (0.334) Data 0.001 (0.004) Loss 1.8771 (1.7831) Prec@1 59.375 (59.558) Prec@5 78.906 (81.142) Epoch: [35][670/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 1.9253 (1.7834) Prec@1 58.594 (59.554) Prec@5 82.812 (81.166) Epoch: [35][680/10010] Time 0.338 (0.333) Data 0.000 (0.004) Loss 1.9418 (1.7826) Prec@1 56.250 (59.559) Prec@5 83.594 (81.196) Epoch: [35][690/10010] Time 0.332 (0.333) Data 0.001 (0.004) Loss 1.3116 (1.7819) Prec@1 69.531 (59.572) Prec@5 89.062 (81.205) Epoch: [35][700/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 1.8373 (1.7825) Prec@1 57.031 (59.563) Prec@5 79.688 (81.191) Epoch: [35][710/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 1.7248 (1.7827) Prec@1 59.375 (59.559) Prec@5 78.906 (81.195) Epoch: [35][720/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 1.8122 (1.7834) Prec@1 57.812 (59.543) Prec@5 80.469 (81.185) Epoch: [35][730/10010] Time 0.347 (0.333) Data 0.001 (0.004) Loss 1.6631 (1.7818) Prec@1 63.281 (59.576) Prec@5 82.812 (81.210) Epoch: [35][740/10010] Time 0.333 (0.333) Data 0.001 (0.004) Loss 1.4422 (1.7817) Prec@1 66.406 (59.576) Prec@5 85.938 (81.206) Epoch: [35][750/10010] Time 0.326 (0.333) Data 0.000 (0.004) Loss 1.7342 (1.7818) Prec@1 61.719 (59.594) Prec@5 79.688 (81.205) Epoch: [35][760/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 1.6746 (1.7811) Prec@1 58.594 (59.603) Prec@5 84.375 (81.209) Epoch: [35][770/10010] Time 0.332 (0.333) Data 0.001 (0.004) Loss 1.8628 (1.7815) Prec@1 53.125 (59.605) Prec@5 77.344 (81.205) Epoch: [35][780/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 1.9109 (1.7827) Prec@1 56.250 (59.605) Prec@5 77.344 (81.193) Epoch: [35][790/10010] Time 0.334 (0.333) Data 0.000 (0.004) Loss 1.6920 (1.7827) Prec@1 61.719 (59.597) Prec@5 81.250 (81.189) Epoch: [35][800/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 1.5827 (1.7836) Prec@1 64.062 (59.579) Prec@5 82.031 (81.178) Epoch: [35][810/10010] Time 0.348 (0.333) Data 0.000 (0.004) Loss 1.9146 (1.7842) Prec@1 58.594 (59.574) Prec@5 75.000 (81.165) Epoch: [35][820/10010] Time 0.343 (0.333) Data 0.000 (0.004) Loss 1.6567 (1.7839) Prec@1 58.594 (59.569) Prec@5 85.938 (81.188) Epoch: [35][830/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 1.7358 (1.7841) Prec@1 58.594 (59.575) Prec@5 84.375 (81.202) Epoch: [35][840/10010] Time 0.323 (0.333) Data 0.000 (0.004) Loss 2.1426 (1.7854) Prec@1 55.469 (59.559) Prec@5 75.000 (81.178) Epoch: [35][850/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 1.7518 (1.7858) Prec@1 60.938 (59.553) Prec@5 81.250 (81.181) Epoch: [35][860/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.8674 (1.7855) Prec@1 61.719 (59.562) Prec@5 81.250 (81.179) Epoch: [35][870/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 1.9623 (1.7856) Prec@1 50.781 (59.540) Prec@5 83.594 (81.176) Epoch: [35][880/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 1.8951 (1.7859) Prec@1 56.250 (59.542) Prec@5 82.031 (81.167) Epoch: [35][890/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 1.6742 (1.7861) Prec@1 58.594 (59.542) Prec@5 85.156 (81.162) Epoch: [35][900/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 1.6542 (1.7852) Prec@1 61.719 (59.556) Prec@5 85.156 (81.181) Epoch: [35][910/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 1.7763 (1.7853) Prec@1 64.062 (59.568) Prec@5 83.594 (81.175) Epoch: [35][920/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 1.8997 (1.7852) Prec@1 59.375 (59.581) Prec@5 79.688 (81.163) Epoch: [35][930/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 1.8065 (1.7851) Prec@1 57.031 (59.588) Prec@5 81.250 (81.165) Epoch: [35][940/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 1.7140 (1.7854) Prec@1 59.375 (59.557) Prec@5 81.250 (81.150) Epoch: [35][950/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.6717 (1.7842) Prec@1 59.375 (59.579) Prec@5 84.375 (81.159) Epoch: [35][960/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 1.6509 (1.7850) Prec@1 62.500 (59.568) Prec@5 81.250 (81.146) Epoch: [35][970/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 1.6287 (1.7851) Prec@1 62.500 (59.554) Prec@5 84.375 (81.141) Epoch: [35][980/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 1.4805 (1.7848) Prec@1 66.406 (59.559) Prec@5 86.719 (81.152) Epoch: [35][990/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 1.6194 (1.7847) Prec@1 64.062 (59.559) Prec@5 83.594 (81.156) Epoch: [35][1000/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 1.8294 (1.7844) Prec@1 58.594 (59.555) Prec@5 78.125 (81.159) Epoch: [35][1010/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 1.8780 (1.7859) Prec@1 59.375 (59.522) Prec@5 80.469 (81.137) Epoch: [35][1020/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 1.8195 (1.7859) Prec@1 57.812 (59.518) Prec@5 79.688 (81.144) Epoch: [35][1030/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 1.8737 (1.7858) Prec@1 53.125 (59.534) Prec@5 75.000 (81.137) Epoch: [35][1040/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 1.8033 (1.7858) Prec@1 59.375 (59.524) Prec@5 82.031 (81.143) Epoch: [35][1050/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 1.7834 (1.7860) Prec@1 54.688 (59.518) Prec@5 85.156 (81.150) Epoch: [35][1060/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 2.0695 (1.7865) Prec@1 50.781 (59.516) Prec@5 78.906 (81.140) Epoch: [35][1070/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 1.6122 (1.7868) Prec@1 59.375 (59.506) Prec@5 84.375 (81.130) Epoch: [35][1080/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 1.7723 (1.7871) Prec@1 60.938 (59.519) Prec@5 81.250 (81.122) Epoch: [35][1090/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 1.9369 (1.7877) Prec@1 52.344 (59.492) Prec@5 78.125 (81.121) Epoch: [35][1100/10010] Time 0.328 (0.332) Data 0.001 (0.003) Loss 1.6597 (1.7875) Prec@1 64.062 (59.491) Prec@5 85.938 (81.127) Epoch: [35][1110/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 1.7709 (1.7874) Prec@1 56.250 (59.484) Prec@5 83.594 (81.136) Epoch: [35][1120/10010] Time 0.319 (0.332) Data 0.001 (0.003) Loss 1.8782 (1.7871) Prec@1 54.688 (59.489) Prec@5 80.469 (81.129) /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][1130/10010] Time 0.325 (0.332) Data 0.000 (0.003) Loss 2.1308 (1.7877) Prec@1 59.375 (59.488) Prec@5 75.781 (81.122) Epoch: [35][1140/10010] Time 0.333 (0.332) Data 0.000 (0.003) Loss 1.5990 (1.7887) Prec@1 57.031 (59.467) Prec@5 83.594 (81.099) Epoch: [35][1150/10010] Time 0.325 (0.332) Data 0.000 (0.003) Loss 1.7399 (1.7881) Prec@1 54.688 (59.482) Prec@5 84.375 (81.116) Epoch: [35][1160/10010] Time 0.334 (0.332) Data 0.001 (0.003) Loss 1.8127 (1.7880) Prec@1 56.250 (59.485) Prec@5 78.125 (81.111) Epoch: [35][1170/10010] Time 0.346 (0.332) Data 0.000 (0.003) Loss 1.7465 (1.7878) Prec@1 62.500 (59.482) Prec@5 81.250 (81.110) Epoch: [35][1180/10010] Time 0.332 (0.332) Data 0.001 (0.003) Loss 1.8681 (1.7884) Prec@1 58.594 (59.468) Prec@5 79.688 (81.095) Epoch: [35][1190/10010] Time 0.344 (0.332) Data 0.000 (0.003) Loss 1.7779 (1.7882) Prec@1 59.375 (59.473) Prec@5 79.688 (81.091) Epoch: [35][1200/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 2.2772 (1.7894) Prec@1 50.781 (59.457) Prec@5 74.219 (81.074) Epoch: [35][1210/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 1.7217 (1.7896) Prec@1 60.156 (59.448) Prec@5 85.156 (81.080) Epoch: [35][1220/10010] Time 0.345 (0.332) Data 0.001 (0.003) Loss 1.6563 (1.7898) Prec@1 59.375 (59.442) Prec@5 82.031 (81.070) Epoch: [35][1230/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 1.8885 (1.7900) Prec@1 58.594 (59.430) Prec@5 78.906 (81.070) Epoch: [35][1240/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 1.9685 (1.7905) Prec@1 58.594 (59.423) Prec@5 75.781 (81.064) Epoch: [35][1250/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 1.7115 (1.7905) Prec@1 57.031 (59.417) Prec@5 86.719 (81.070) Epoch: [35][1260/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 1.6092 (1.7906) Prec@1 63.281 (59.420) Prec@5 82.031 (81.060) Epoch: [35][1270/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 1.5982 (1.7910) Prec@1 67.969 (59.411) Prec@5 82.031 (81.048) Epoch: [35][1280/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 1.8139 (1.7908) Prec@1 56.250 (59.408) Prec@5 79.688 (81.042) Epoch: [35][1290/10010] Time 0.346 (0.332) Data 0.000 (0.003) Loss 1.9339 (1.7911) Prec@1 57.812 (59.402) Prec@5 78.125 (81.036) Epoch: [35][1300/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.5961 (1.7912) Prec@1 66.406 (59.402) Prec@5 84.375 (81.032) /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][1310/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.0965 (1.7914) Prec@1 42.969 (59.381) Prec@5 77.344 (81.035) Epoch: [35][1320/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.6280 (1.7914) Prec@1 64.844 (59.378) Prec@5 82.031 (81.038) Epoch: [35][1330/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.8663 (1.7911) Prec@1 56.250 (59.380) Prec@5 79.688 (81.039) Epoch: [35][1340/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.7080 (1.7912) Prec@1 61.719 (59.376) Prec@5 85.938 (81.041) Epoch: [35][1350/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.7845 (1.7914) Prec@1 57.812 (59.367) Prec@5 81.250 (81.033) Epoch: [35][1360/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5136 (1.7914) Prec@1 65.625 (59.354) Prec@5 85.156 (81.031) Epoch: [35][1370/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.9585 (1.7923) Prec@1 57.812 (59.345) Prec@5 80.469 (81.023) Epoch: [35][1380/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.2956 (1.7926) Prec@1 47.656 (59.345) Prec@5 75.000 (81.021) Epoch: [35][1390/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.7636 (1.7924) Prec@1 60.938 (59.346) Prec@5 80.469 (81.025) Epoch: [35][1400/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.7931 (1.7919) Prec@1 62.500 (59.365) Prec@5 81.250 (81.033) Epoch: [35][1410/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.9757 (1.7918) Prec@1 56.250 (59.374) Prec@5 76.562 (81.032) Epoch: [35][1420/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.8670 (1.7914) Prec@1 53.906 (59.379) Prec@5 78.125 (81.036) Epoch: [35][1430/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.7911 (1.7920) Prec@1 61.719 (59.372) Prec@5 78.125 (81.025) Epoch: [35][1440/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.9356 (1.7923) Prec@1 54.688 (59.365) Prec@5 79.688 (81.020) Epoch: [35][1450/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.9259 (1.7926) Prec@1 56.250 (59.349) Prec@5 78.125 (81.019) Epoch: [35][1460/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.8936 (1.7934) Prec@1 53.906 (59.329) Prec@5 79.688 (81.012) Epoch: [35][1470/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7482 (1.7930) Prec@1 62.500 (59.336) Prec@5 82.031 (81.015) Epoch: [35][1480/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.7875 (1.7931) Prec@1 60.156 (59.335) Prec@5 81.250 (81.004) Epoch: [35][1490/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8854 (1.7932) Prec@1 61.719 (59.340) Prec@5 77.344 (80.994) Epoch: [35][1500/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.8528 (1.7933) Prec@1 57.812 (59.341) Prec@5 82.031 (80.997) Epoch: [35][1510/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.7995 (1.7931) Prec@1 58.594 (59.345) Prec@5 82.812 (81.003) Epoch: [35][1520/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7716 (1.7942) Prec@1 60.938 (59.323) Prec@5 80.469 (80.987) Epoch: [35][1530/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.1425 (1.7948) Prec@1 58.594 (59.310) Prec@5 77.344 (80.974) Epoch: [35][1540/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.9651 (1.7948) Prec@1 58.594 (59.312) Prec@5 77.344 (80.968) Epoch: [35][1550/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.7834 (1.7953) Prec@1 63.281 (59.305) Prec@5 82.031 (80.960) Epoch: [35][1560/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.8133 (1.7961) Prec@1 58.594 (59.288) Prec@5 79.688 (80.955) Epoch: [35][1570/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.5870 (1.7955) Prec@1 66.406 (59.308) Prec@5 85.938 (80.966) Epoch: [35][1580/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.8088 (1.7956) Prec@1 57.031 (59.299) Prec@5 82.031 (80.965) Epoch: [35][1590/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.9871 (1.7959) Prec@1 52.344 (59.286) Prec@5 78.906 (80.959) Epoch: [35][1600/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.8522 (1.7955) Prec@1 52.344 (59.289) Prec@5 80.469 (80.961) Epoch: [35][1610/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.9910 (1.7953) Prec@1 53.125 (59.292) Prec@5 78.125 (80.959) Epoch: [35][1620/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.5974 (1.7951) Prec@1 59.375 (59.290) Prec@5 83.594 (80.960) Epoch: [35][1630/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.9303 (1.7946) Prec@1 57.812 (59.297) Prec@5 77.344 (80.964) Epoch: [35][1640/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.8460 (1.7941) Prec@1 57.031 (59.305) Prec@5 83.594 (80.973) Epoch: [35][1650/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.0534 (1.7945) Prec@1 54.688 (59.306) Prec@5 78.125 (80.967) Epoch: [35][1660/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.9742 (1.7951) Prec@1 52.344 (59.283) Prec@5 79.688 (80.964) Epoch: [35][1670/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.0333 (1.7952) Prec@1 56.250 (59.282) Prec@5 77.344 (80.970) Epoch: [35][1680/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9937 (1.7951) Prec@1 53.906 (59.290) Prec@5 75.000 (80.968) Epoch: [35][1690/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.8501 (1.7950) Prec@1 53.906 (59.290) Prec@5 84.375 (80.967) Epoch: [35][1700/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.1062 (1.7955) Prec@1 53.125 (59.278) Prec@5 75.000 (80.956) Epoch: [35][1710/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.8181 (1.7955) Prec@1 55.469 (59.275) Prec@5 81.250 (80.953) Epoch: [35][1720/10010] Time 0.314 (0.332) Data 0.000 (0.002) Loss 1.7711 (1.7952) Prec@1 58.594 (59.271) Prec@5 78.906 (80.964) Epoch: [35][1730/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.9769 (1.7954) Prec@1 57.812 (59.267) Prec@5 77.344 (80.961) /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][1740/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8273 (1.7950) Prec@1 63.281 (59.279) Prec@5 80.469 (80.967) Epoch: [35][1750/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.7052 (1.7952) Prec@1 61.719 (59.283) Prec@5 83.594 (80.966) Epoch: [35][1760/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.5540 (1.7954) Prec@1 61.719 (59.276) Prec@5 85.156 (80.970) Epoch: [35][1770/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 1.9510 (1.7955) Prec@1 58.594 (59.281) Prec@5 79.688 (80.965) Epoch: [35][1780/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.6869 (1.7957) Prec@1 63.281 (59.282) Prec@5 79.688 (80.966) Epoch: [35][1790/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.7548 (1.7957) Prec@1 58.594 (59.278) Prec@5 79.688 (80.966) Epoch: [35][1800/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8284 (1.7956) Prec@1 56.250 (59.282) Prec@5 82.031 (80.967) Epoch: [35][1810/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.9507 (1.7954) Prec@1 53.906 (59.278) Prec@5 77.344 (80.970) Epoch: [35][1820/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.8406 (1.7952) Prec@1 53.906 (59.281) Prec@5 79.688 (80.975) Epoch: [35][1830/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.7195 (1.7951) Prec@1 59.375 (59.287) Prec@5 79.688 (80.972) Epoch: [35][1840/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.0404 (1.7953) Prec@1 53.125 (59.280) Prec@5 75.000 (80.966) Epoch: [35][1850/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.5084 (1.7948) Prec@1 68.750 (59.292) Prec@5 87.500 (80.971) Epoch: [35][1860/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.6413 (1.7947) Prec@1 60.938 (59.298) Prec@5 86.719 (80.969) Epoch: [35][1870/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.5522 (1.7949) Prec@1 60.156 (59.289) Prec@5 88.281 (80.965) Epoch: [35][1880/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.5353 (1.7949) Prec@1 64.844 (59.294) Prec@5 85.156 (80.959) Epoch: [35][1890/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.9104 (1.7950) Prec@1 60.938 (59.289) Prec@5 81.250 (80.955) Epoch: [35][1900/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.0526 (1.7950) Prec@1 57.812 (59.297) Prec@5 80.469 (80.955) Epoch: [35][1910/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8000 (1.7949) Prec@1 54.688 (59.288) Prec@5 81.250 (80.958) Epoch: [35][1920/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.7214 (1.7951) Prec@1 58.594 (59.285) Prec@5 82.031 (80.954) Epoch: [35][1930/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 1.4838 (1.7947) Prec@1 67.188 (59.292) Prec@5 83.594 (80.957) Epoch: [35][1940/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.5870 (1.7951) Prec@1 63.281 (59.286) Prec@5 87.500 (80.948) Epoch: [35][1950/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.5486 (1.7950) Prec@1 69.531 (59.285) Prec@5 83.594 (80.946) Epoch: [35][1960/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.9487 (1.7953) Prec@1 52.344 (59.280) Prec@5 78.125 (80.942) Epoch: [35][1970/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.6550 (1.7955) Prec@1 65.625 (59.277) Prec@5 81.250 (80.941) Epoch: [35][1980/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.0264 (1.7959) Prec@1 54.688 (59.267) Prec@5 78.906 (80.933) Epoch: [35][1990/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8892 (1.7963) Prec@1 61.719 (59.260) Prec@5 82.031 (80.926) Epoch: [35][2000/10010] Time 0.311 (0.332) Data 0.000 (0.002) Loss 1.8842 (1.7968) Prec@1 58.594 (59.254) Prec@5 77.344 (80.914) Epoch: [35][2010/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.9587 (1.7970) Prec@1 61.719 (59.249) Prec@5 83.594 (80.918) Epoch: [35][2020/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.8238 (1.7971) Prec@1 58.594 (59.245) Prec@5 78.125 (80.921) Epoch: [35][2030/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.5114 (1.7968) Prec@1 71.875 (59.250) Prec@5 82.812 (80.921) Epoch: [35][2040/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.9178 (1.7970) Prec@1 62.500 (59.239) Prec@5 80.469 (80.921) Epoch: [35][2050/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.8794 (1.7971) Prec@1 57.812 (59.236) Prec@5 80.469 (80.921) Epoch: [35][2060/10010] Time 0.310 (0.332) Data 0.001 (0.002) Loss 1.3510 (1.7973) Prec@1 68.750 (59.233) Prec@5 88.281 (80.911) Epoch: [35][2070/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.8394 (1.7973) Prec@1 58.594 (59.239) Prec@5 81.250 (80.906) Epoch: [35][2080/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 1.6607 (1.7969) Prec@1 61.719 (59.251) Prec@5 82.812 (80.913) Epoch: [35][2090/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.6371 (1.7970) Prec@1 60.156 (59.251) Prec@5 82.031 (80.909) Epoch: [35][2100/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.7369 (1.7967) Prec@1 57.812 (59.255) Prec@5 83.594 (80.908) Epoch: [35][2110/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.6645 (1.7964) Prec@1 59.375 (59.260) Prec@5 83.594 (80.912) Epoch: [35][2120/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8687 (1.7964) Prec@1 57.812 (59.253) Prec@5 76.562 (80.907) Epoch: [35][2130/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8920 (1.7965) Prec@1 55.469 (59.251) Prec@5 78.125 (80.909) Epoch: [35][2140/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.6299 (1.7965) Prec@1 61.719 (59.249) Prec@5 83.594 (80.907) Epoch: [35][2150/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.0103 (1.7966) Prec@1 55.469 (59.247) Prec@5 75.781 (80.907) Epoch: [35][2160/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.8654 (1.7968) Prec@1 60.938 (59.248) Prec@5 75.000 (80.899) Epoch: [35][2170/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.0537 (1.7969) Prec@1 51.562 (59.240) Prec@5 77.344 (80.898) Epoch: [35][2180/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7640 (1.7967) Prec@1 60.156 (59.244) Prec@5 79.688 (80.898) Epoch: [35][2190/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.1218 (1.7972) Prec@1 53.125 (59.236) Prec@5 72.656 (80.888) Epoch: [35][2200/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.5393 (1.7972) Prec@1 67.188 (59.235) Prec@5 81.250 (80.889) Epoch: [35][2210/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.1449 (1.7976) Prec@1 53.906 (59.227) Prec@5 79.688 (80.886) Epoch: [35][2220/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.6120 (1.7976) Prec@1 65.625 (59.224) Prec@5 80.469 (80.886) Epoch: [35][2230/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.6302 (1.7975) Prec@1 64.062 (59.229) Prec@5 85.156 (80.889) Epoch: [35][2240/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7810 (1.7973) Prec@1 61.719 (59.239) Prec@5 79.688 (80.893) Epoch: [35][2250/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.8334 (1.7976) Prec@1 54.688 (59.230) Prec@5 80.469 (80.889) Epoch: [35][2260/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7027 (1.7975) Prec@1 62.500 (59.228) Prec@5 81.250 (80.890) Epoch: [35][2270/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.8247 (1.7976) Prec@1 58.594 (59.230) Prec@5 81.250 (80.886) Epoch: [35][2280/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.8251 (1.7975) Prec@1 57.812 (59.227) Prec@5 81.250 (80.885) Epoch: [35][2290/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.5227 (1.7977) Prec@1 64.062 (59.225) Prec@5 86.719 (80.885) Epoch: [35][2300/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8856 (1.7978) Prec@1 57.812 (59.213) Prec@5 78.125 (80.886) Epoch: [35][2310/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.7878 (1.7980) Prec@1 60.156 (59.205) Prec@5 78.906 (80.884) Epoch: [35][2320/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.9234 (1.7977) Prec@1 57.031 (59.210) Prec@5 79.688 (80.887) Epoch: [35][2330/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 2.2946 (1.7977) Prec@1 51.562 (59.208) Prec@5 72.656 (80.883) Epoch: [35][2340/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.8390 (1.7980) Prec@1 53.125 (59.200) Prec@5 78.906 (80.878) Epoch: [35][2350/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.8954 (1.7978) Prec@1 56.250 (59.204) Prec@5 79.688 (80.881) Epoch: [35][2360/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.0076 (1.7975) Prec@1 57.031 (59.207) Prec@5 78.125 (80.891) Epoch: [35][2370/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.6170 (1.7976) Prec@1 60.156 (59.208) Prec@5 82.031 (80.892) Epoch: [35][2380/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.0478 (1.7977) Prec@1 50.000 (59.204) Prec@5 77.344 (80.894) Epoch: [35][2390/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.3088 (1.7979) Prec@1 44.531 (59.196) Prec@5 73.438 (80.892) Epoch: [35][2400/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.7935 (1.7974) Prec@1 53.906 (59.202) Prec@5 80.469 (80.898) Epoch: [35][2410/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.7849 (1.7973) Prec@1 60.156 (59.204) Prec@5 82.031 (80.901) Epoch: [35][2420/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.8175 (1.7975) Prec@1 53.906 (59.188) Prec@5 83.594 (80.899) Epoch: [35][2430/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.7413 (1.7976) Prec@1 64.062 (59.185) Prec@5 83.594 (80.895) Epoch: [35][2440/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.7118 (1.7978) Prec@1 64.844 (59.185) Prec@5 83.594 (80.894) Epoch: [35][2450/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7033 (1.7976) Prec@1 62.500 (59.190) Prec@5 83.594 (80.899) Epoch: [35][2460/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.6190 (1.7975) Prec@1 64.844 (59.197) Prec@5 80.469 (80.904) Epoch: [35][2470/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.9777 (1.7975) Prec@1 51.562 (59.195) Prec@5 78.125 (80.902) Epoch: [35][2480/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.7864 (1.7976) Prec@1 57.031 (59.187) Prec@5 78.125 (80.900) Epoch: [35][2490/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.9565 (1.7975) Prec@1 54.688 (59.189) Prec@5 78.125 (80.901) Epoch: [35][2500/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.9238 (1.7983) Prec@1 57.031 (59.172) Prec@5 78.906 (80.889) Epoch: [35][2510/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.1756 (1.7977) Prec@1 75.781 (59.184) Prec@5 89.062 (80.898) Epoch: [35][2520/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.6243 (1.7973) Prec@1 61.719 (59.184) Prec@5 81.250 (80.901) Epoch: [35][2530/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.2739 (1.7975) Prec@1 54.688 (59.181) Prec@5 77.344 (80.902) Epoch: [35][2540/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.9494 (1.7974) Prec@1 56.250 (59.186) Prec@5 78.125 (80.903) Epoch: [35][2550/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.9460 (1.7976) Prec@1 57.031 (59.185) Prec@5 75.781 (80.897) Epoch: [35][2560/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.7724 (1.7975) Prec@1 58.594 (59.192) Prec@5 80.469 (80.895) Epoch: [35][2570/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.8361 (1.7974) Prec@1 56.250 (59.190) Prec@5 81.250 (80.900) Epoch: [35][2580/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.7500 (1.7972) Prec@1 60.156 (59.191) Prec@5 81.250 (80.907) Epoch: [35][2590/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.5666 (1.7969) Prec@1 64.062 (59.194) Prec@5 84.375 (80.910) Epoch: [35][2600/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.0871 (1.7964) Prec@1 53.125 (59.203) Prec@5 75.000 (80.917) Epoch: [35][2610/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.8358 (1.7963) Prec@1 60.938 (59.207) Prec@5 78.906 (80.918) Epoch: [35][2620/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.6304 (1.7960) Prec@1 60.156 (59.212) Prec@5 80.469 (80.923) Epoch: [35][2630/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 1.9727 (1.7962) Prec@1 60.938 (59.208) Prec@5 78.906 (80.919) Epoch: [35][2640/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.0052 (1.7965) Prec@1 52.344 (59.204) Prec@5 76.562 (80.912) Epoch: [35][2650/10010] Time 0.350 (0.332) Data 0.001 (0.002) Loss 2.5006 (1.7965) Prec@1 50.000 (59.204) Prec@5 71.094 (80.914) Epoch: [35][2660/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.6840 (1.7962) Prec@1 60.938 (59.206) Prec@5 84.375 (80.917) Epoch: [35][2670/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9419 (1.7965) Prec@1 53.906 (59.195) Prec@5 81.250 (80.915) Epoch: [35][2680/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8256 (1.7962) Prec@1 55.469 (59.200) Prec@5 80.469 (80.921) Epoch: [35][2690/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7176 (1.7962) Prec@1 60.938 (59.196) Prec@5 82.812 (80.923) Epoch: [35][2700/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7663 (1.7960) Prec@1 59.375 (59.200) Prec@5 82.031 (80.923) Epoch: [35][2710/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8614 (1.7962) Prec@1 57.031 (59.203) Prec@5 78.125 (80.918) Epoch: [35][2720/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7755 (1.7962) Prec@1 58.594 (59.201) Prec@5 79.688 (80.916) Epoch: [35][2730/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.1461 (1.7962) Prec@1 52.344 (59.203) Prec@5 73.438 (80.920) Epoch: [35][2740/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7166 (1.7962) Prec@1 62.500 (59.198) Prec@5 82.812 (80.922) Epoch: [35][2750/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 2.6363 (1.7964) Prec@1 49.219 (59.195) Prec@5 67.969 (80.923) Epoch: [35][2760/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5993 (1.7965) Prec@1 63.281 (59.192) Prec@5 84.375 (80.917) Epoch: [35][2770/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.3620 (1.7965) Prec@1 67.188 (59.187) Prec@5 86.719 (80.917) Epoch: [35][2780/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.8653 (1.7960) Prec@1 61.719 (59.197) Prec@5 79.688 (80.924) Epoch: [35][2790/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7611 (1.7958) Prec@1 62.500 (59.199) Prec@5 76.562 (80.927) Epoch: [35][2800/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.7659 (1.7956) Prec@1 58.594 (59.207) Prec@5 83.594 (80.929) Epoch: [35][2810/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5344 (1.7956) Prec@1 67.969 (59.211) Prec@5 86.719 (80.929) Epoch: [35][2820/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9584 (1.7958) Prec@1 55.469 (59.200) Prec@5 79.688 (80.928) Epoch: [35][2830/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9725 (1.7959) Prec@1 58.594 (59.196) Prec@5 78.906 (80.925) Epoch: [35][2840/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.9390 (1.7957) Prec@1 57.031 (59.197) Prec@5 76.562 (80.931) Epoch: [35][2850/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5419 (1.7956) Prec@1 67.188 (59.205) Prec@5 89.062 (80.937) Epoch: [35][2860/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.0713 (1.7956) Prec@1 53.906 (59.211) Prec@5 74.219 (80.936) Epoch: [35][2870/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0399 (1.7955) Prec@1 60.938 (59.209) Prec@5 77.344 (80.936) Epoch: [35][2880/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6598 (1.7954) Prec@1 62.500 (59.204) Prec@5 83.594 (80.938) Epoch: [35][2890/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8362 (1.7952) Prec@1 57.812 (59.211) Prec@5 80.469 (80.938) Epoch: [35][2900/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8570 (1.7958) Prec@1 54.688 (59.204) Prec@5 78.125 (80.930) Epoch: [35][2910/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9577 (1.7961) Prec@1 61.719 (59.201) Prec@5 81.250 (80.923) Epoch: [35][2920/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8324 (1.7964) Prec@1 60.156 (59.198) Prec@5 82.031 (80.923) Epoch: [35][2930/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.9708 (1.7967) Prec@1 60.156 (59.188) Prec@5 82.812 (80.918) Epoch: [35][2940/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8060 (1.7966) Prec@1 59.375 (59.189) Prec@5 78.906 (80.919) Epoch: [35][2950/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9720 (1.7964) Prec@1 57.031 (59.192) Prec@5 77.344 (80.925) Epoch: [35][2960/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.2616 (1.7961) Prec@1 69.531 (59.198) Prec@5 88.281 (80.928) Epoch: [35][2970/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.9304 (1.7962) Prec@1 58.594 (59.201) Prec@5 78.125 (80.926) Epoch: [35][2980/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9281 (1.7962) Prec@1 52.344 (59.199) Prec@5 79.688 (80.926) Epoch: [35][2990/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7541 (1.7968) Prec@1 60.938 (59.188) Prec@5 82.031 (80.918) Epoch: [35][3000/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6355 (1.7967) Prec@1 60.156 (59.192) Prec@5 79.688 (80.917) Epoch: [35][3010/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.3595 (1.7966) Prec@1 62.500 (59.190) Prec@5 87.500 (80.920) Epoch: [35][3020/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6434 (1.7966) Prec@1 63.281 (59.192) Prec@5 84.375 (80.923) Epoch: [35][3030/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9677 (1.7965) Prec@1 59.375 (59.196) Prec@5 78.906 (80.924) Epoch: [35][3040/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6486 (1.7968) Prec@1 61.719 (59.193) Prec@5 83.594 (80.921) Epoch: [35][3050/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.7210 (1.7966) Prec@1 63.281 (59.202) Prec@5 78.906 (80.922) Epoch: [35][3060/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.5846 (1.7961) Prec@1 60.156 (59.213) Prec@5 87.500 (80.932) Epoch: [35][3070/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.9952 (1.7961) Prec@1 55.469 (59.214) Prec@5 75.781 (80.930) Epoch: [35][3080/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8616 (1.7962) Prec@1 57.812 (59.210) Prec@5 78.906 (80.934) Epoch: [35][3090/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.6003 (1.7963) Prec@1 64.844 (59.209) Prec@5 78.906 (80.932) Epoch: [35][3100/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8332 (1.7964) Prec@1 55.469 (59.207) Prec@5 80.469 (80.931) Epoch: [35][3110/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6292 (1.7962) Prec@1 63.281 (59.207) Prec@5 80.469 (80.932) Epoch: [35][3120/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6634 (1.7964) Prec@1 60.156 (59.206) Prec@5 82.812 (80.927) Epoch: [35][3130/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.9005 (1.7964) Prec@1 60.938 (59.206) Prec@5 79.688 (80.925) Epoch: [35][3140/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7111 (1.7965) Prec@1 58.594 (59.205) Prec@5 82.031 (80.926) Epoch: [35][3150/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6709 (1.7966) Prec@1 67.188 (59.204) Prec@5 82.031 (80.926) Epoch: [35][3160/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8818 (1.7965) Prec@1 58.594 (59.201) Prec@5 81.250 (80.929) Epoch: [35][3170/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6326 (1.7966) Prec@1 60.938 (59.198) Prec@5 83.594 (80.929) Epoch: [35][3180/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.5269 (1.7965) Prec@1 60.938 (59.201) Prec@5 85.938 (80.933) Epoch: [35][3190/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.5979 (1.7968) Prec@1 62.500 (59.197) Prec@5 83.594 (80.930) Epoch: [35][3200/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6036 (1.7970) Prec@1 59.375 (59.190) Prec@5 85.156 (80.927) Epoch: [35][3210/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.4685 (1.7969) Prec@1 65.625 (59.187) Prec@5 83.594 (80.929) Epoch: [35][3220/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.7292 (1.7968) Prec@1 54.688 (59.187) Prec@5 82.812 (80.931) Epoch: [35][3230/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8389 (1.7970) Prec@1 58.594 (59.184) Prec@5 78.906 (80.931) Epoch: [35][3240/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1651 (1.7969) Prec@1 51.562 (59.183) Prec@5 71.875 (80.928) Epoch: [35][3250/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6776 (1.7967) Prec@1 59.375 (59.187) Prec@5 82.812 (80.928) Epoch: [35][3260/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7276 (1.7967) Prec@1 60.938 (59.188) Prec@5 82.031 (80.931) Epoch: [35][3270/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7150 (1.7970) Prec@1 60.156 (59.186) Prec@5 82.031 (80.926) Epoch: [35][3280/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6514 (1.7969) Prec@1 61.719 (59.188) Prec@5 81.250 (80.925) Epoch: [35][3290/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6703 (1.7968) Prec@1 63.281 (59.187) Prec@5 78.906 (80.923) Epoch: [35][3300/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1343 (1.7970) Prec@1 57.812 (59.183) Prec@5 75.781 (80.922) Epoch: [35][3310/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.4555 (1.7968) Prec@1 70.312 (59.187) Prec@5 85.156 (80.926) Epoch: [35][3320/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9128 (1.7966) Prec@1 60.156 (59.190) Prec@5 74.219 (80.928) Epoch: [35][3330/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8429 (1.7966) Prec@1 58.594 (59.194) Prec@5 78.906 (80.928) Epoch: [35][3340/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8528 (1.7967) Prec@1 57.812 (59.190) Prec@5 78.906 (80.926) Epoch: [35][3350/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7937 (1.7966) Prec@1 50.781 (59.191) Prec@5 82.031 (80.931) Epoch: [35][3360/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7820 (1.7968) Prec@1 60.156 (59.187) Prec@5 80.469 (80.929) Epoch: [35][3370/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1581 (1.7968) Prec@1 56.250 (59.191) Prec@5 75.781 (80.927) Epoch: [35][3380/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6562 (1.7969) Prec@1 65.625 (59.190) Prec@5 83.594 (80.924) Epoch: [35][3390/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8887 (1.7970) Prec@1 62.500 (59.189) Prec@5 78.125 (80.926) Epoch: [35][3400/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.7920 (1.7969) Prec@1 60.156 (59.188) Prec@5 78.906 (80.928) Epoch: [35][3410/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7073 (1.7970) Prec@1 61.719 (59.183) Prec@5 79.688 (80.925) Epoch: [35][3420/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7135 (1.7971) Prec@1 59.375 (59.177) Prec@5 78.906 (80.925) Epoch: [35][3430/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.7766 (1.7970) Prec@1 61.719 (59.176) Prec@5 82.812 (80.927) Epoch: [35][3440/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6013 (1.7972) Prec@1 66.406 (59.174) Prec@5 85.156 (80.925) Epoch: [35][3450/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8299 (1.7970) Prec@1 60.156 (59.179) Prec@5 82.812 (80.927) Epoch: [35][3460/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6896 (1.7971) Prec@1 60.938 (59.175) Prec@5 79.688 (80.927) Epoch: [35][3470/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0503 (1.7970) Prec@1 54.688 (59.178) Prec@5 73.438 (80.927) Epoch: [35][3480/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9126 (1.7967) Prec@1 57.031 (59.179) Prec@5 75.000 (80.927) Epoch: [35][3490/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.0743 (1.7969) Prec@1 56.250 (59.175) Prec@5 77.344 (80.925) Epoch: [35][3500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7801 (1.7966) Prec@1 63.281 (59.178) Prec@5 78.906 (80.929) Epoch: [35][3510/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8754 (1.7967) Prec@1 54.688 (59.176) Prec@5 80.469 (80.927) Epoch: [35][3520/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8249 (1.7966) Prec@1 50.000 (59.174) Prec@5 85.156 (80.933) Epoch: [35][3530/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7084 (1.7965) Prec@1 55.469 (59.168) Prec@5 85.156 (80.936) Epoch: [35][3540/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8464 (1.7966) Prec@1 53.125 (59.166) Prec@5 79.688 (80.937) Epoch: [35][3550/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.2634 (1.7968) Prec@1 51.562 (59.162) Prec@5 76.562 (80.934) Epoch: [35][3560/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9933 (1.7969) Prec@1 54.688 (59.161) Prec@5 76.562 (80.933) Epoch: [35][3570/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9641 (1.7973) Prec@1 57.031 (59.152) Prec@5 80.469 (80.926) Epoch: [35][3580/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9487 (1.7973) Prec@1 56.250 (59.153) Prec@5 78.125 (80.927) Epoch: [35][3590/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0651 (1.7973) Prec@1 54.688 (59.153) Prec@5 77.344 (80.927) Epoch: [35][3600/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7879 (1.7974) Prec@1 58.594 (59.149) Prec@5 81.250 (80.924) Epoch: [35][3610/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0497 (1.7978) Prec@1 56.250 (59.146) Prec@5 74.219 (80.919) Epoch: [35][3620/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7712 (1.7978) Prec@1 62.500 (59.148) Prec@5 83.594 (80.918) Epoch: [35][3630/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8314 (1.7977) Prec@1 54.688 (59.149) Prec@5 80.469 (80.917) Epoch: [35][3640/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1511 (1.7979) Prec@1 50.000 (59.143) Prec@5 76.562 (80.916) Epoch: [35][3650/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9154 (1.7978) Prec@1 60.156 (59.143) Prec@5 76.562 (80.918) Epoch: [35][3660/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7035 (1.7981) Prec@1 61.719 (59.135) Prec@5 81.250 (80.912) Epoch: [35][3670/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.6055 (1.7983) Prec@1 59.375 (59.130) Prec@5 84.375 (80.907) Epoch: [35][3680/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1356 (1.7982) Prec@1 46.875 (59.130) Prec@5 77.344 (80.912) Epoch: [35][3690/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8464 (1.7983) Prec@1 60.156 (59.132) Prec@5 81.250 (80.909) Epoch: [35][3700/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0901 (1.7984) Prec@1 50.000 (59.134) Prec@5 76.562 (80.910) Epoch: [35][3710/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6216 (1.7986) Prec@1 59.375 (59.131) Prec@5 86.719 (80.908) Epoch: [35][3720/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7876 (1.7985) Prec@1 57.031 (59.134) Prec@5 78.906 (80.910) Epoch: [35][3730/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9045 (1.7984) Prec@1 57.812 (59.136) Prec@5 78.906 (80.910) Epoch: [35][3740/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8363 (1.7985) Prec@1 55.469 (59.133) Prec@5 79.688 (80.909) Epoch: [35][3750/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7289 (1.7984) Prec@1 62.500 (59.136) Prec@5 81.250 (80.909) Epoch: [35][3760/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8611 (1.7984) Prec@1 55.469 (59.138) Prec@5 77.344 (80.908) Epoch: [35][3770/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9459 (1.7985) Prec@1 52.344 (59.139) Prec@5 77.344 (80.908) Epoch: [35][3780/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8175 (1.7985) Prec@1 56.250 (59.141) Prec@5 78.906 (80.911) Epoch: [35][3790/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.3524 (1.7985) Prec@1 49.219 (59.139) Prec@5 69.531 (80.909) Epoch: [35][3800/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8026 (1.7983) Prec@1 60.156 (59.142) Prec@5 79.688 (80.910) Epoch: [35][3810/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6525 (1.7983) Prec@1 64.062 (59.143) Prec@5 83.594 (80.909) Epoch: [35][3820/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7811 (1.7984) Prec@1 60.938 (59.145) Prec@5 81.250 (80.908) Epoch: [35][3830/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6726 (1.7984) Prec@1 59.375 (59.142) Prec@5 81.250 (80.907) Epoch: [35][3840/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7997 (1.7985) Prec@1 57.031 (59.138) Prec@5 82.812 (80.906) Epoch: [35][3850/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6629 (1.7985) Prec@1 64.062 (59.135) Prec@5 85.156 (80.907) Epoch: [35][3860/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8376 (1.7987) Prec@1 57.812 (59.128) Prec@5 81.250 (80.909) Epoch: [35][3870/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9117 (1.7984) Prec@1 58.594 (59.127) Prec@5 78.125 (80.913) Epoch: [35][3880/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0300 (1.7983) Prec@1 51.562 (59.128) Prec@5 77.344 (80.914) Epoch: [35][3890/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0529 (1.7984) Prec@1 50.781 (59.127) Prec@5 77.344 (80.913) Epoch: [35][3900/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5189 (1.7983) Prec@1 67.188 (59.125) Prec@5 82.812 (80.917) Epoch: [35][3910/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8205 (1.7982) Prec@1 53.906 (59.126) Prec@5 77.344 (80.919) Epoch: [35][3920/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.2187 (1.7985) Prec@1 50.781 (59.125) Prec@5 72.656 (80.912) Epoch: [35][3930/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8892 (1.7986) Prec@1 53.125 (59.119) Prec@5 78.906 (80.910) Epoch: [35][3940/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6455 (1.7987) Prec@1 62.500 (59.116) Prec@5 86.719 (80.911) Epoch: [35][3950/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4470 (1.7985) Prec@1 69.531 (59.122) Prec@5 88.281 (80.913) Epoch: [35][3960/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0194 (1.7985) Prec@1 53.125 (59.122) Prec@5 76.562 (80.911) Epoch: [35][3970/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9179 (1.7985) Prec@1 61.719 (59.126) Prec@5 76.562 (80.910) Epoch: [35][3980/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7445 (1.7984) Prec@1 64.062 (59.130) Prec@5 83.594 (80.911) Epoch: [35][3990/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7529 (1.7984) Prec@1 59.375 (59.129) Prec@5 80.469 (80.912) Epoch: [35][4000/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7335 (1.7988) Prec@1 58.594 (59.122) Prec@5 78.125 (80.908) Epoch: [35][4010/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7145 (1.7987) Prec@1 61.719 (59.122) Prec@5 79.688 (80.906) Epoch: [35][4020/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.2829 (1.7987) Prec@1 71.094 (59.122) Prec@5 89.844 (80.906) Epoch: [35][4030/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6959 (1.7989) Prec@1 60.938 (59.114) Prec@5 84.375 (80.903) Epoch: [35][4040/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8229 (1.7985) Prec@1 58.594 (59.120) Prec@5 76.562 (80.909) Epoch: [35][4050/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9446 (1.7984) Prec@1 57.031 (59.124) Prec@5 78.906 (80.910) Epoch: [35][4060/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5788 (1.7986) Prec@1 61.719 (59.118) Prec@5 82.812 (80.908) Epoch: [35][4070/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7666 (1.7987) Prec@1 60.156 (59.116) Prec@5 79.688 (80.909) Epoch: [35][4080/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9009 (1.7987) Prec@1 50.781 (59.113) Prec@5 78.906 (80.905) Epoch: [35][4090/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5706 (1.7987) Prec@1 61.719 (59.115) Prec@5 83.594 (80.903) Epoch: [35][4100/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7774 (1.7990) Prec@1 57.812 (59.112) Prec@5 82.812 (80.901) Epoch: [35][4110/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9269 (1.7991) Prec@1 57.031 (59.110) Prec@5 81.250 (80.897) Epoch: [35][4120/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0831 (1.7990) Prec@1 53.906 (59.114) Prec@5 78.125 (80.900) Epoch: [35][4130/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8360 (1.7988) Prec@1 64.844 (59.118) Prec@5 82.812 (80.904) Epoch: [35][4140/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1184 (1.7989) Prec@1 52.344 (59.116) Prec@5 78.906 (80.905) Epoch: [35][4150/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5933 (1.7989) Prec@1 62.500 (59.118) Prec@5 83.594 (80.902) Epoch: [35][4160/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8658 (1.7989) Prec@1 58.594 (59.119) Prec@5 78.906 (80.901) Epoch: [35][4170/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.6415 (1.7988) Prec@1 64.844 (59.122) Prec@5 85.156 (80.903) Epoch: [35][4180/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7763 (1.7988) Prec@1 55.469 (59.120) Prec@5 80.469 (80.903) Epoch: [35][4190/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8148 (1.7990) Prec@1 54.688 (59.116) Prec@5 78.906 (80.900) Epoch: [35][4200/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8210 (1.7993) Prec@1 55.469 (59.109) Prec@5 82.812 (80.899) Epoch: [35][4210/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7216 (1.7994) Prec@1 60.938 (59.108) Prec@5 84.375 (80.893) Epoch: [35][4220/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5338 (1.7995) Prec@1 67.969 (59.108) Prec@5 85.156 (80.894) Epoch: [35][4230/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0529 (1.7995) Prec@1 50.781 (59.109) Prec@5 75.000 (80.893) Epoch: [35][4240/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9332 (1.7993) Prec@1 54.688 (59.113) Prec@5 77.344 (80.895) Epoch: [35][4250/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9102 (1.7994) Prec@1 53.906 (59.108) Prec@5 78.906 (80.893) Epoch: [35][4260/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9591 (1.7996) Prec@1 60.156 (59.106) Prec@5 79.688 (80.890) Epoch: [35][4270/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.9512 (1.7997) Prec@1 56.250 (59.105) Prec@5 79.688 (80.890) Epoch: [35][4280/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.4786 (1.7997) Prec@1 65.625 (59.110) Prec@5 86.719 (80.888) Epoch: [35][4290/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9900 (1.7998) Prec@1 53.906 (59.108) Prec@5 81.250 (80.890) Epoch: [35][4300/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8902 (1.7999) Prec@1 54.688 (59.101) Prec@5 79.688 (80.886) Epoch: [35][4310/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8007 (1.7998) Prec@1 61.719 (59.104) Prec@5 77.344 (80.886) Epoch: [35][4320/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8106 (1.7996) Prec@1 54.688 (59.108) Prec@5 82.031 (80.890) Epoch: [35][4330/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5776 (1.7996) Prec@1 61.719 (59.109) Prec@5 85.938 (80.889) Epoch: [35][4340/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5933 (1.7996) Prec@1 61.719 (59.104) Prec@5 88.281 (80.890) Epoch: [35][4350/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6539 (1.7995) Prec@1 62.500 (59.106) Prec@5 82.031 (80.891) Epoch: [35][4360/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.6321 (1.7995) Prec@1 60.938 (59.105) Prec@5 83.594 (80.894) Epoch: [35][4370/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1650 (1.7994) Prec@1 54.688 (59.110) Prec@5 75.000 (80.895) Epoch: [35][4380/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5506 (1.7993) Prec@1 70.312 (59.108) Prec@5 85.938 (80.902) Epoch: [35][4390/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6938 (1.7993) Prec@1 58.594 (59.109) Prec@5 86.719 (80.903) Epoch: [35][4400/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.1369 (1.7992) Prec@1 53.125 (59.110) Prec@5 75.000 (80.902) Epoch: [35][4410/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5311 (1.7993) Prec@1 67.969 (59.111) Prec@5 86.719 (80.902) Epoch: [35][4420/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9483 (1.7994) Prec@1 55.469 (59.106) Prec@5 75.781 (80.901) Epoch: [35][4430/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6547 (1.7996) Prec@1 60.938 (59.101) Prec@5 81.250 (80.898) Epoch: [35][4440/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6592 (1.7995) Prec@1 60.938 (59.102) Prec@5 82.812 (80.899) Epoch: [35][4450/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7736 (1.7994) Prec@1 64.844 (59.103) Prec@5 81.250 (80.900) Epoch: [35][4460/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.4892 (1.7994) Prec@1 64.844 (59.105) Prec@5 85.938 (80.901) Epoch: [35][4470/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5131 (1.7994) Prec@1 67.188 (59.107) Prec@5 85.156 (80.902) Epoch: [35][4480/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9456 (1.7995) Prec@1 61.719 (59.105) Prec@5 82.812 (80.901) Epoch: [35][4490/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.8022 (1.7994) Prec@1 64.062 (59.107) Prec@5 82.031 (80.901) Epoch: [35][4500/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.7388 (1.7995) Prec@1 56.250 (59.105) Prec@5 82.031 (80.901) Epoch: [35][4510/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9678 (1.7997) Prec@1 53.125 (59.097) Prec@5 81.250 (80.895) Epoch: [35][4520/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6513 (1.7999) Prec@1 60.156 (59.094) Prec@5 82.031 (80.892) Epoch: [35][4530/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9891 (1.7998) Prec@1 53.125 (59.094) Prec@5 76.562 (80.892) Epoch: [35][4540/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.5581 (1.8000) Prec@1 58.594 (59.089) Prec@5 81.250 (80.890) Epoch: [35][4550/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7242 (1.8000) Prec@1 60.156 (59.087) Prec@5 83.594 (80.890) Epoch: [35][4560/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0957 (1.8000) Prec@1 55.469 (59.093) Prec@5 74.219 (80.890) Epoch: [35][4570/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.3406 (1.7998) Prec@1 64.844 (59.096) Prec@5 91.406 (80.892) Epoch: [35][4580/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.5707 (1.7999) Prec@1 65.625 (59.093) Prec@5 84.375 (80.893) Epoch: [35][4590/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5513 (1.7996) Prec@1 61.719 (59.099) Prec@5 85.156 (80.899) Epoch: [35][4600/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.1218 (1.7997) Prec@1 55.469 (59.097) Prec@5 78.125 (80.899) Epoch: [35][4610/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1043 (1.7998) Prec@1 51.562 (59.095) Prec@5 75.000 (80.898) Epoch: [35][4620/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8841 (1.7998) Prec@1 57.031 (59.094) Prec@5 78.906 (80.897) Epoch: [35][4630/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5994 (1.7998) Prec@1 68.750 (59.093) Prec@5 83.594 (80.897) Epoch: [35][4640/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5059 (1.8000) Prec@1 60.156 (59.090) Prec@5 84.375 (80.897) Epoch: [35][4650/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6153 (1.8002) Prec@1 63.281 (59.084) Prec@5 83.594 (80.895) Epoch: [35][4660/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8297 (1.8002) Prec@1 54.688 (59.083) Prec@5 82.812 (80.895) Epoch: [35][4670/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8894 (1.8003) Prec@1 60.938 (59.082) Prec@5 82.812 (80.893) Epoch: [35][4680/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.3934 (1.8003) Prec@1 49.219 (59.078) Prec@5 69.531 (80.892) Epoch: [35][4690/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8373 (1.8005) Prec@1 58.594 (59.074) Prec@5 81.250 (80.890) Epoch: [35][4700/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6810 (1.8005) Prec@1 64.062 (59.074) Prec@5 81.250 (80.890) Epoch: [35][4710/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0817 (1.8005) Prec@1 52.344 (59.071) Prec@5 76.562 (80.889) Epoch: [35][4720/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6026 (1.8007) Prec@1 64.062 (59.071) Prec@5 83.594 (80.886) Epoch: [35][4730/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6740 (1.8007) Prec@1 60.938 (59.072) Prec@5 84.375 (80.885) Epoch: [35][4740/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8639 (1.8007) Prec@1 57.812 (59.071) Prec@5 79.688 (80.882) Epoch: [35][4750/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8980 (1.8007) Prec@1 59.375 (59.070) Prec@5 80.469 (80.885) Epoch: [35][4760/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6312 (1.8006) Prec@1 63.281 (59.074) Prec@5 83.594 (80.884) Epoch: [35][4770/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8838 (1.8007) Prec@1 57.812 (59.073) Prec@5 79.688 (80.881) Epoch: [35][4780/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5888 (1.8010) Prec@1 67.188 (59.071) Prec@5 83.594 (80.876) Epoch: [35][4790/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9838 (1.8010) Prec@1 52.344 (59.069) Prec@5 82.031 (80.878) Epoch: [35][4800/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9346 (1.8010) Prec@1 50.000 (59.066) Prec@5 82.812 (80.878) Epoch: [35][4810/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7687 (1.8010) Prec@1 64.062 (59.067) Prec@5 83.594 (80.878) Epoch: [35][4820/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6300 (1.8011) Prec@1 57.812 (59.065) Prec@5 83.594 (80.878) Epoch: [35][4830/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6936 (1.8011) Prec@1 62.500 (59.066) Prec@5 78.906 (80.879) Epoch: [35][4840/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9420 (1.8012) Prec@1 55.469 (59.062) Prec@5 75.781 (80.878) Epoch: [35][4850/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7038 (1.8013) Prec@1 63.281 (59.060) Prec@5 80.469 (80.876) Epoch: [35][4860/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8425 (1.8014) Prec@1 60.938 (59.057) Prec@5 78.906 (80.870) Epoch: [35][4870/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6414 (1.8013) Prec@1 60.938 (59.060) Prec@5 81.250 (80.871) Epoch: [35][4880/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.4612 (1.8012) Prec@1 60.156 (59.062) Prec@5 88.281 (80.875) Epoch: [35][4890/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.4465 (1.8012) Prec@1 65.625 (59.064) Prec@5 82.812 (80.875) Epoch: [35][4900/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6656 (1.8014) Prec@1 64.062 (59.063) Prec@5 86.719 (80.874) Epoch: [35][4910/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7917 (1.8013) Prec@1 60.156 (59.067) Prec@5 77.344 (80.873) Epoch: [35][4920/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.2496 (1.8013) Prec@1 51.562 (59.067) Prec@5 73.438 (80.873) Epoch: [35][4930/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8393 (1.8013) Prec@1 56.250 (59.068) Prec@5 82.812 (80.872) Epoch: [35][4940/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8221 (1.8013) Prec@1 57.031 (59.067) Prec@5 77.344 (80.870) Epoch: [35][4950/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5299 (1.8013) Prec@1 62.500 (59.065) Prec@5 84.375 (80.870) Epoch: [35][4960/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0781 (1.8012) Prec@1 51.562 (59.064) Prec@5 76.562 (80.872) Epoch: [35][4970/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7648 (1.8012) Prec@1 67.188 (59.066) Prec@5 78.125 (80.872) Epoch: [35][4980/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7661 (1.8012) Prec@1 56.250 (59.068) Prec@5 84.375 (80.874) Epoch: [35][4990/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7816 (1.8012) Prec@1 50.000 (59.065) Prec@5 82.031 (80.875) Epoch: [35][5000/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6205 (1.8012) Prec@1 60.156 (59.064) Prec@5 82.031 (80.874) Epoch: [35][5010/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8349 (1.8011) Prec@1 60.156 (59.063) Prec@5 82.812 (80.875) Epoch: [35][5020/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.4731 (1.8011) Prec@1 60.156 (59.063) Prec@5 90.625 (80.874) Epoch: [35][5030/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8322 (1.8010) Prec@1 58.594 (59.066) Prec@5 81.250 (80.874) Epoch: [35][5040/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7576 (1.8010) Prec@1 55.469 (59.062) Prec@5 83.594 (80.872) Epoch: [35][5050/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.4656 (1.8010) Prec@1 70.312 (59.065) Prec@5 84.375 (80.872) Epoch: [35][5060/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.5836 (1.8008) Prec@1 61.719 (59.065) Prec@5 85.156 (80.874) Epoch: [35][5070/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.3964 (1.8008) Prec@1 67.188 (59.065) Prec@5 85.938 (80.874) Epoch: [35][5080/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0710 (1.8012) Prec@1 57.812 (59.060) Prec@5 76.562 (80.869) Epoch: [35][5090/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7534 (1.8013) Prec@1 57.031 (59.057) Prec@5 79.688 (80.867) Epoch: [35][5100/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8875 (1.8013) Prec@1 60.156 (59.060) Prec@5 81.250 (80.868) Epoch: [35][5110/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6326 (1.8012) Prec@1 65.625 (59.060) Prec@5 84.375 (80.868) Epoch: [35][5120/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8968 (1.8013) Prec@1 58.594 (59.060) Prec@5 79.688 (80.867) Epoch: [35][5130/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5619 (1.8013) Prec@1 63.281 (59.060) Prec@5 81.250 (80.866) Epoch: [35][5140/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8051 (1.8014) Prec@1 63.281 (59.061) Prec@5 80.469 (80.866) Epoch: [35][5150/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0263 (1.8013) Prec@1 55.469 (59.065) Prec@5 75.781 (80.869) Epoch: [35][5160/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9144 (1.8014) Prec@1 52.344 (59.061) Prec@5 78.906 (80.866) Epoch: [35][5170/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8821 (1.8014) Prec@1 60.938 (59.062) Prec@5 81.250 (80.865) Epoch: [35][5180/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8529 (1.8015) Prec@1 56.250 (59.060) Prec@5 82.812 (80.865) Epoch: [35][5190/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8393 (1.8014) Prec@1 62.500 (59.063) Prec@5 80.469 (80.866) Epoch: [35][5200/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7255 (1.8012) Prec@1 52.344 (59.063) Prec@5 83.594 (80.869) Epoch: [35][5210/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6130 (1.8012) Prec@1 67.969 (59.064) Prec@5 88.281 (80.871) Epoch: [35][5220/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8962 (1.8012) Prec@1 55.469 (59.067) Prec@5 80.469 (80.871) Epoch: [35][5230/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9260 (1.8013) Prec@1 58.594 (59.060) Prec@5 78.125 (80.868) Epoch: [35][5240/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0750 (1.8013) Prec@1 57.812 (59.062) Prec@5 75.781 (80.867) Epoch: [35][5250/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6267 (1.8011) Prec@1 62.500 (59.065) Prec@5 80.469 (80.869) Epoch: [35][5260/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6350 (1.8011) Prec@1 63.281 (59.067) Prec@5 85.156 (80.868) Epoch: [35][5270/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8183 (1.8011) Prec@1 56.250 (59.068) Prec@5 78.125 (80.867) Epoch: [35][5280/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9480 (1.8011) Prec@1 56.250 (59.070) Prec@5 78.906 (80.868) Epoch: [35][5290/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.5589 (1.8010) Prec@1 61.719 (59.068) Prec@5 83.594 (80.868) Epoch: [35][5300/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9275 (1.8010) Prec@1 57.031 (59.068) Prec@5 80.469 (80.869) Epoch: [35][5310/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6677 (1.8009) Prec@1 63.281 (59.071) Prec@5 85.156 (80.869) Epoch: [35][5320/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7119 (1.8009) Prec@1 60.156 (59.069) Prec@5 79.688 (80.868) Epoch: [35][5330/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8082 (1.8010) Prec@1 61.719 (59.067) Prec@5 79.688 (80.865) Epoch: [35][5340/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9789 (1.8009) Prec@1 55.469 (59.068) Prec@5 80.469 (80.866) Epoch: [35][5350/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9129 (1.8007) Prec@1 51.562 (59.069) Prec@5 77.344 (80.868) Epoch: [35][5360/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7102 (1.8009) Prec@1 58.594 (59.068) Prec@5 85.938 (80.865) Epoch: [35][5370/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5453 (1.8009) Prec@1 67.188 (59.068) Prec@5 82.812 (80.863) Epoch: [35][5380/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8407 (1.8009) Prec@1 56.250 (59.068) Prec@5 82.812 (80.865) Epoch: [35][5390/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8790 (1.8010) Prec@1 59.375 (59.066) Prec@5 78.906 (80.862) Epoch: [35][5400/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8765 (1.8010) Prec@1 53.125 (59.065) Prec@5 80.469 (80.866) Epoch: [35][5410/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8679 (1.8010) Prec@1 60.938 (59.063) Prec@5 81.250 (80.867) Epoch: [35][5420/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9696 (1.8010) Prec@1 57.812 (59.061) Prec@5 78.125 (80.868) Epoch: [35][5430/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8349 (1.8010) Prec@1 61.719 (59.062) Prec@5 78.906 (80.869) Epoch: [35][5440/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9004 (1.8012) Prec@1 60.156 (59.059) Prec@5 80.469 (80.865) Epoch: [35][5450/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7789 (1.8012) Prec@1 53.125 (59.060) Prec@5 83.594 (80.865) Epoch: [35][5460/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7098 (1.8011) Prec@1 57.812 (59.061) Prec@5 85.938 (80.867) Epoch: [35][5470/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6786 (1.8012) Prec@1 67.969 (59.058) Prec@5 83.594 (80.863) Epoch: [35][5480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0034 (1.8012) Prec@1 52.344 (59.059) Prec@5 76.562 (80.864) Epoch: [35][5490/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8596 (1.8014) Prec@1 61.719 (59.056) Prec@5 79.688 (80.858) Epoch: [35][5500/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7103 (1.8014) Prec@1 60.938 (59.059) Prec@5 81.250 (80.857) Epoch: [35][5510/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9204 (1.8016) Prec@1 60.938 (59.054) Prec@5 81.250 (80.853) Epoch: [35][5520/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5160 (1.8016) Prec@1 69.531 (59.054) Prec@5 82.812 (80.853) Epoch: [35][5530/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6748 (1.8016) Prec@1 60.938 (59.055) Prec@5 85.156 (80.854) Epoch: [35][5540/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7016 (1.8017) Prec@1 60.156 (59.054) Prec@5 78.906 (80.851) Epoch: [35][5550/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6694 (1.8017) Prec@1 64.062 (59.058) Prec@5 83.594 (80.853) Epoch: [35][5560/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9482 (1.8018) Prec@1 54.688 (59.057) Prec@5 80.469 (80.850) Epoch: [35][5570/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1185 (1.8018) Prec@1 53.125 (59.056) Prec@5 75.000 (80.850) Epoch: [35][5580/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0129 (1.8019) Prec@1 55.469 (59.055) Prec@5 71.094 (80.848) Epoch: [35][5590/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0901 (1.8019) Prec@1 53.906 (59.051) Prec@5 76.562 (80.846) Epoch: [35][5600/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1832 (1.8020) Prec@1 55.469 (59.052) Prec@5 71.094 (80.844) Epoch: [35][5610/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9665 (1.8020) Prec@1 60.156 (59.052) Prec@5 80.469 (80.845) Epoch: [35][5620/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8681 (1.8021) Prec@1 54.688 (59.049) Prec@5 82.031 (80.844) Epoch: [35][5630/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5270 (1.8021) Prec@1 62.500 (59.050) Prec@5 89.062 (80.845) Epoch: [35][5640/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8304 (1.8021) Prec@1 55.469 (59.047) Prec@5 82.812 (80.846) Epoch: [35][5650/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0628 (1.8022) Prec@1 57.812 (59.048) Prec@5 75.781 (80.844) Epoch: [35][5660/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7017 (1.8022) Prec@1 60.938 (59.047) Prec@5 81.250 (80.843) Epoch: [35][5670/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5212 (1.8022) Prec@1 60.156 (59.046) Prec@5 85.938 (80.843) Epoch: [35][5680/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9299 (1.8021) Prec@1 54.688 (59.044) Prec@5 80.469 (80.845) Epoch: [35][5690/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.5260 (1.8021) Prec@1 67.188 (59.044) Prec@5 85.938 (80.845) Epoch: [35][5700/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7333 (1.8021) Prec@1 61.719 (59.044) Prec@5 82.812 (80.844) Epoch: [35][5710/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8536 (1.8022) Prec@1 58.594 (59.043) Prec@5 77.344 (80.843) Epoch: [35][5720/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7903 (1.8024) Prec@1 60.156 (59.040) Prec@5 78.906 (80.838) Epoch: [35][5730/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7707 (1.8025) Prec@1 59.375 (59.041) Prec@5 78.906 (80.838) Epoch: [35][5740/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9398 (1.8027) Prec@1 55.469 (59.039) Prec@5 79.688 (80.835) Epoch: [35][5750/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8398 (1.8026) Prec@1 57.031 (59.037) Prec@5 78.906 (80.837) Epoch: [35][5760/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0353 (1.8028) Prec@1 56.250 (59.034) Prec@5 77.344 (80.834) Epoch: [35][5770/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6230 (1.8029) Prec@1 61.719 (59.036) Prec@5 84.375 (80.831) Epoch: [35][5780/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6319 (1.8029) Prec@1 57.812 (59.036) Prec@5 82.031 (80.832) Epoch: [35][5790/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8386 (1.8029) Prec@1 56.250 (59.035) Prec@5 81.250 (80.831) Epoch: [35][5800/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8458 (1.8031) Prec@1 56.250 (59.031) Prec@5 78.906 (80.830) Epoch: [35][5810/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0437 (1.8031) Prec@1 57.812 (59.031) Prec@5 78.906 (80.829) Epoch: [35][5820/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.2197 (1.8032) Prec@1 53.125 (59.029) Prec@5 77.344 (80.827) Epoch: [35][5830/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7039 (1.8033) Prec@1 63.281 (59.028) Prec@5 82.812 (80.826) Epoch: [35][5840/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0413 (1.8033) Prec@1 55.469 (59.029) Prec@5 77.344 (80.827) Epoch: [35][5850/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7644 (1.8035) Prec@1 58.594 (59.027) Prec@5 77.344 (80.823) Epoch: [35][5860/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8553 (1.8036) Prec@1 55.469 (59.025) Prec@5 82.812 (80.822) Epoch: [35][5870/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8715 (1.8038) Prec@1 57.031 (59.025) Prec@5 80.469 (80.819) Epoch: [35][5880/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.4014 (1.8038) Prec@1 66.406 (59.025) Prec@5 86.719 (80.818) Epoch: [35][5890/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6470 (1.8039) Prec@1 60.938 (59.022) Prec@5 83.594 (80.815) Epoch: [35][5900/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6683 (1.8040) Prec@1 58.594 (59.022) Prec@5 82.031 (80.815) Epoch: [35][5910/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6205 (1.8039) Prec@1 60.938 (59.021) Prec@5 81.250 (80.818) Epoch: [35][5920/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8361 (1.8039) Prec@1 61.719 (59.023) Prec@5 81.250 (80.816) Epoch: [35][5930/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8451 (1.8041) Prec@1 55.469 (59.019) Prec@5 81.250 (80.812) Epoch: [35][5940/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.2848 (1.8043) Prec@1 52.344 (59.015) Prec@5 71.875 (80.807) Epoch: [35][5950/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9115 (1.8043) Prec@1 57.812 (59.015) Prec@5 79.688 (80.808) Epoch: [35][5960/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0458 (1.8044) Prec@1 56.250 (59.013) Prec@5 73.438 (80.803) Epoch: [35][5970/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0477 (1.8044) Prec@1 50.781 (59.012) Prec@5 77.344 (80.803) Epoch: [35][5980/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6880 (1.8044) Prec@1 64.062 (59.013) Prec@5 83.594 (80.803) Epoch: [35][5990/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9289 (1.8045) Prec@1 53.125 (59.009) Prec@5 77.344 (80.802) Epoch: [35][6000/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6819 (1.8045) Prec@1 64.844 (59.010) Prec@5 82.812 (80.802) Epoch: [35][6010/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7182 (1.8045) Prec@1 59.375 (59.008) Prec@5 85.938 (80.803) Epoch: [35][6020/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8262 (1.8046) Prec@1 52.344 (59.007) Prec@5 82.812 (80.803) Epoch: [35][6030/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.3864 (1.8043) Prec@1 66.406 (59.013) Prec@5 87.500 (80.807) Epoch: [35][6040/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8032 (1.8044) Prec@1 58.594 (59.010) Prec@5 78.125 (80.806) Epoch: [35][6050/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5486 (1.8044) Prec@1 64.062 (59.011) Prec@5 84.375 (80.804) Epoch: [35][6060/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5322 (1.8043) Prec@1 64.844 (59.013) Prec@5 82.031 (80.807) Epoch: [35][6070/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5295 (1.8044) Prec@1 61.719 (59.011) Prec@5 85.156 (80.804) Epoch: [35][6080/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7884 (1.8044) Prec@1 61.719 (59.011) Prec@5 85.156 (80.807) Epoch: [35][6090/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.1068 (1.8044) Prec@1 58.594 (59.012) Prec@5 75.781 (80.806) Epoch: [35][6100/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8682 (1.8045) Prec@1 59.375 (59.011) Prec@5 82.031 (80.805) Epoch: [35][6110/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8393 (1.8046) Prec@1 60.156 (59.012) Prec@5 80.469 (80.805) Epoch: [35][6120/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8988 (1.8046) Prec@1 62.500 (59.014) Prec@5 78.906 (80.803) Epoch: [35][6130/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8384 (1.8045) Prec@1 60.938 (59.019) Prec@5 79.688 (80.806) Epoch: [35][6140/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6961 (1.8045) Prec@1 58.594 (59.017) Prec@5 80.469 (80.805) Epoch: [35][6150/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0936 (1.8046) Prec@1 49.219 (59.013) Prec@5 73.438 (80.804) Epoch: [35][6160/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1702 (1.8048) Prec@1 57.031 (59.010) Prec@5 76.562 (80.801) Epoch: [35][6170/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1370 (1.8049) Prec@1 51.562 (59.008) Prec@5 77.344 (80.799) Epoch: [35][6180/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5870 (1.8049) Prec@1 69.531 (59.009) Prec@5 82.812 (80.799) Epoch: [35][6190/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8355 (1.8050) Prec@1 56.250 (59.008) Prec@5 79.688 (80.798) Epoch: [35][6200/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8841 (1.8050) Prec@1 57.812 (59.008) Prec@5 77.344 (80.798) Epoch: [35][6210/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8878 (1.8050) Prec@1 52.344 (59.008) Prec@5 80.469 (80.797) Epoch: [35][6220/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.5365 (1.8051) Prec@1 66.406 (59.007) Prec@5 85.156 (80.796) Epoch: [35][6230/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8764 (1.8051) Prec@1 60.938 (59.006) Prec@5 82.812 (80.795) Epoch: [35][6240/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6451 (1.8051) Prec@1 64.844 (59.006) Prec@5 82.812 (80.796) Epoch: [35][6250/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.9355 (1.8051) Prec@1 53.906 (59.003) Prec@5 78.906 (80.798) Epoch: [35][6260/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1130 (1.8052) Prec@1 50.000 (59.002) Prec@5 79.688 (80.798) Epoch: [35][6270/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9535 (1.8052) Prec@1 52.344 (59.001) Prec@5 77.344 (80.797) Epoch: [35][6280/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1239 (1.8053) Prec@1 52.344 (58.999) Prec@5 76.562 (80.795) Epoch: [35][6290/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6225 (1.8052) Prec@1 61.719 (59.002) Prec@5 80.469 (80.795) Epoch: [35][6300/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9286 (1.8052) Prec@1 58.594 (58.999) Prec@5 77.344 (80.794) Epoch: [35][6310/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6757 (1.8051) Prec@1 64.844 (59.004) Prec@5 82.031 (80.795) Epoch: [35][6320/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7909 (1.8052) Prec@1 61.719 (59.005) Prec@5 84.375 (80.794) Epoch: [35][6330/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7855 (1.8051) Prec@1 60.156 (59.006) Prec@5 78.125 (80.794) Epoch: [35][6340/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8664 (1.8052) Prec@1 53.906 (59.004) Prec@5 78.906 (80.792) Epoch: [35][6350/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0518 (1.8052) Prec@1 53.125 (59.006) Prec@5 74.219 (80.791) Epoch: [35][6360/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.8537 (1.8053) Prec@1 54.688 (59.006) Prec@5 81.250 (80.789) Epoch: [35][6370/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6312 (1.8053) Prec@1 64.844 (59.006) Prec@5 82.812 (80.789) Epoch: [35][6380/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8615 (1.8053) Prec@1 62.500 (59.005) Prec@5 78.125 (80.788) Epoch: [35][6390/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0864 (1.8056) Prec@1 53.125 (59.001) Prec@5 70.312 (80.783) Epoch: [35][6400/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8821 (1.8056) Prec@1 51.562 (58.998) Prec@5 85.156 (80.783) Epoch: [35][6410/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1074 (1.8056) Prec@1 50.000 (59.000) Prec@5 72.656 (80.784) Epoch: [35][6420/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9015 (1.8056) Prec@1 59.375 (59.002) Prec@5 79.688 (80.783) Epoch: [35][6430/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6241 (1.8055) Prec@1 60.156 (59.000) Prec@5 82.812 (80.784) Epoch: [35][6440/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8205 (1.8055) Prec@1 59.375 (58.998) Prec@5 85.156 (80.784) Epoch: [35][6450/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6793 (1.8056) Prec@1 62.500 (58.998) Prec@5 83.594 (80.787) Epoch: [35][6460/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7121 (1.8056) Prec@1 58.594 (58.998) Prec@5 82.031 (80.785) Epoch: [35][6470/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6477 (1.8056) Prec@1 61.719 (58.998) Prec@5 82.812 (80.785) Epoch: [35][6480/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0942 (1.8058) Prec@1 55.469 (58.994) Prec@5 71.875 (80.781) Epoch: [35][6490/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.5372 (1.8057) Prec@1 57.812 (58.994) Prec@5 86.719 (80.785) Epoch: [35][6500/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8162 (1.8057) Prec@1 64.062 (58.996) Prec@5 79.688 (80.785) Epoch: [35][6510/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.5800 (1.8057) Prec@1 57.031 (58.994) Prec@5 86.719 (80.786) Epoch: [35][6520/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7864 (1.8059) Prec@1 63.281 (58.991) Prec@5 83.594 (80.786) Epoch: [35][6530/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8653 (1.8059) Prec@1 54.688 (58.991) Prec@5 79.688 (80.786) Epoch: [35][6540/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9116 (1.8060) Prec@1 53.906 (58.988) Prec@5 78.125 (80.783) Epoch: [35][6550/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7789 (1.8060) Prec@1 59.375 (58.988) Prec@5 80.469 (80.782) Epoch: [35][6560/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8405 (1.8060) Prec@1 57.031 (58.986) Prec@5 79.688 (80.782) Epoch: [35][6570/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7077 (1.8059) Prec@1 57.812 (58.986) Prec@5 80.469 (80.784) Epoch: [35][6580/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1129 (1.8060) Prec@1 55.469 (58.985) Prec@5 78.125 (80.781) Epoch: [35][6590/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7955 (1.8060) Prec@1 59.375 (58.984) Prec@5 81.250 (80.780) Epoch: [35][6600/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8615 (1.8061) Prec@1 56.250 (58.984) Prec@5 78.906 (80.778) Epoch: [35][6610/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7452 (1.8059) Prec@1 64.844 (58.989) Prec@5 82.031 (80.779) Epoch: [35][6620/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6799 (1.8060) Prec@1 63.281 (58.985) Prec@5 81.250 (80.777) Epoch: [35][6630/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7112 (1.8060) Prec@1 60.938 (58.986) Prec@5 80.469 (80.776) Epoch: [35][6640/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8068 (1.8060) Prec@1 61.719 (58.986) Prec@5 78.906 (80.776) Epoch: [35][6650/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6906 (1.8059) Prec@1 59.375 (58.986) Prec@5 84.375 (80.777) Epoch: [35][6660/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7426 (1.8060) Prec@1 58.594 (58.987) Prec@5 80.469 (80.776) Epoch: [35][6670/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7102 (1.8059) Prec@1 60.938 (58.988) Prec@5 86.719 (80.778) Epoch: [35][6680/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0970 (1.8059) Prec@1 54.688 (58.986) Prec@5 78.906 (80.777) Epoch: [35][6690/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7785 (1.8059) Prec@1 65.625 (58.990) Prec@5 80.469 (80.777) Epoch: [35][6700/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7580 (1.8059) Prec@1 55.469 (58.986) Prec@5 79.688 (80.774) Epoch: [35][6710/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9480 (1.8061) Prec@1 54.688 (58.981) Prec@5 78.906 (80.773) Epoch: [35][6720/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5364 (1.8060) Prec@1 67.969 (58.980) Prec@5 87.500 (80.774) Epoch: [35][6730/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9379 (1.8060) Prec@1 60.156 (58.980) Prec@5 79.688 (80.774) Epoch: [35][6740/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8766 (1.8059) Prec@1 57.031 (58.981) Prec@5 81.250 (80.775) Epoch: [35][6750/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.5182 (1.8058) Prec@1 66.406 (58.984) Prec@5 84.375 (80.778) Epoch: [35][6760/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6161 (1.8058) Prec@1 58.594 (58.983) Prec@5 83.594 (80.776) Epoch: [35][6770/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.3327 (1.8059) Prec@1 65.625 (58.982) Prec@5 89.062 (80.776) Epoch: [35][6780/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8400 (1.8059) Prec@1 56.250 (58.982) Prec@5 79.688 (80.776) Epoch: [35][6790/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9449 (1.8059) Prec@1 60.156 (58.982) Prec@5 75.000 (80.777) Epoch: [35][6800/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1293 (1.8060) Prec@1 57.812 (58.981) Prec@5 73.438 (80.774) /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][6810/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9296 (1.8060) Prec@1 57.031 (58.980) Prec@5 78.906 (80.775) Epoch: [35][6820/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9483 (1.8060) Prec@1 57.031 (58.982) Prec@5 78.125 (80.775) Epoch: [35][6830/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7047 (1.8060) Prec@1 59.375 (58.983) Prec@5 81.250 (80.774) Epoch: [35][6840/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.6788 (1.8061) Prec@1 59.375 (58.983) Prec@5 82.031 (80.772) Epoch: [35][6850/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9324 (1.8059) Prec@1 57.031 (58.984) Prec@5 74.219 (80.772) Epoch: [35][6860/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8853 (1.8060) Prec@1 57.812 (58.986) Prec@5 78.906 (80.772) Epoch: [35][6870/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0167 (1.8059) Prec@1 57.031 (58.986) Prec@5 78.906 (80.775) Epoch: [35][6880/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7466 (1.8059) Prec@1 55.469 (58.988) Prec@5 85.938 (80.778) Epoch: [35][6890/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0700 (1.8058) Prec@1 57.812 (58.987) Prec@5 77.344 (80.779) Epoch: [35][6900/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8173 (1.8059) Prec@1 57.812 (58.982) Prec@5 82.812 (80.778) Epoch: [35][6910/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7352 (1.8060) Prec@1 63.281 (58.983) Prec@5 83.594 (80.776) Epoch: [35][6920/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.5763 (1.8059) Prec@1 61.719 (58.983) Prec@5 82.031 (80.776) Epoch: [35][6930/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.0251 (1.8060) Prec@1 55.469 (58.981) Prec@5 75.000 (80.774) Epoch: [35][6940/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5336 (1.8061) Prec@1 61.719 (58.977) Prec@5 83.594 (80.774) Epoch: [35][6950/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6941 (1.8061) Prec@1 54.688 (58.974) Prec@5 82.812 (80.774) Epoch: [35][6960/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0470 (1.8062) Prec@1 57.031 (58.974) Prec@5 76.562 (80.772) Epoch: [35][6970/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8205 (1.8062) Prec@1 57.031 (58.972) Prec@5 80.469 (80.772) Epoch: [35][6980/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7952 (1.8060) Prec@1 63.281 (58.975) Prec@5 79.688 (80.774) Epoch: [35][6990/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7308 (1.8060) Prec@1 58.594 (58.973) Prec@5 81.250 (80.774) Epoch: [35][7000/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8487 (1.8062) Prec@1 63.281 (58.973) Prec@5 77.344 (80.772) Epoch: [35][7010/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9392 (1.8062) Prec@1 55.469 (58.971) Prec@5 82.031 (80.771) Epoch: [35][7020/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7962 (1.8063) Prec@1 60.156 (58.971) Prec@5 84.375 (80.770) Epoch: [35][7030/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7887 (1.8064) Prec@1 58.594 (58.967) Prec@5 81.250 (80.769) Epoch: [35][7040/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8398 (1.8065) Prec@1 63.281 (58.966) Prec@5 85.156 (80.770) Epoch: [35][7050/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6895 (1.8063) Prec@1 60.938 (58.968) Prec@5 82.031 (80.773) Epoch: [35][7060/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6494 (1.8066) Prec@1 62.500 (58.965) Prec@5 84.375 (80.769) Epoch: [35][7070/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7989 (1.8066) Prec@1 62.500 (58.967) Prec@5 79.688 (80.768) Epoch: [35][7080/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7882 (1.8066) Prec@1 60.156 (58.967) Prec@5 78.906 (80.768) Epoch: [35][7090/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7784 (1.8066) Prec@1 57.812 (58.970) Prec@5 80.469 (80.767) Epoch: [35][7100/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.4956 (1.8066) Prec@1 61.719 (58.970) Prec@5 85.938 (80.766) Epoch: [35][7110/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.1672 (1.8067) Prec@1 48.438 (58.970) Prec@5 81.250 (80.766) Epoch: [35][7120/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7724 (1.8066) Prec@1 57.812 (58.971) Prec@5 80.469 (80.768) Epoch: [35][7130/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9198 (1.8066) Prec@1 59.375 (58.973) Prec@5 77.344 (80.765) Epoch: [35][7140/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9028 (1.8066) Prec@1 59.375 (58.974) Prec@5 79.688 (80.765) Epoch: [35][7150/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8803 (1.8067) Prec@1 57.812 (58.974) Prec@5 78.906 (80.764) Epoch: [35][7160/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9171 (1.8069) Prec@1 54.688 (58.972) Prec@5 79.688 (80.762) Epoch: [35][7170/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6259 (1.8068) Prec@1 59.375 (58.972) Prec@5 85.938 (80.765) Epoch: [35][7180/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9979 (1.8069) Prec@1 57.812 (58.967) Prec@5 75.000 (80.763) Epoch: [35][7190/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7576 (1.8070) Prec@1 57.812 (58.967) Prec@5 79.688 (80.762) Epoch: [35][7200/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7447 (1.8070) Prec@1 61.719 (58.968) Prec@5 78.906 (80.760) Epoch: [35][7210/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.1277 (1.8070) Prec@1 52.344 (58.966) Prec@5 77.344 (80.759) Epoch: [35][7220/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9708 (1.8071) Prec@1 55.469 (58.965) Prec@5 78.906 (80.758) Epoch: [35][7230/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9729 (1.8071) Prec@1 57.812 (58.966) Prec@5 79.688 (80.759) Epoch: [35][7240/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7824 (1.8072) Prec@1 58.594 (58.967) Prec@5 81.250 (80.759) Epoch: [35][7250/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8119 (1.8073) Prec@1 57.031 (58.963) Prec@5 78.125 (80.756) Epoch: [35][7260/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9842 (1.8073) Prec@1 55.469 (58.966) Prec@5 75.000 (80.755) Epoch: [35][7270/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0038 (1.8074) Prec@1 51.562 (58.962) Prec@5 76.562 (80.752) Epoch: [35][7280/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7307 (1.8074) Prec@1 60.156 (58.964) Prec@5 78.906 (80.753) Epoch: [35][7290/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7793 (1.8076) Prec@1 60.156 (58.962) Prec@5 76.562 (80.750) Epoch: [35][7300/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8405 (1.8076) Prec@1 57.812 (58.959) Prec@5 81.250 (80.748) Epoch: [35][7310/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7514 (1.8077) Prec@1 57.812 (58.957) Prec@5 82.812 (80.747) Epoch: [35][7320/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.4777 (1.8077) Prec@1 69.531 (58.960) Prec@5 85.156 (80.747) Epoch: [35][7330/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7700 (1.8078) Prec@1 54.688 (58.956) Prec@5 77.344 (80.746) Epoch: [35][7340/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0413 (1.8080) Prec@1 56.250 (58.954) Prec@5 77.344 (80.743) Epoch: [35][7350/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9560 (1.8081) Prec@1 54.688 (58.953) Prec@5 79.688 (80.742) Epoch: [35][7360/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1424 (1.8083) Prec@1 54.688 (58.949) Prec@5 73.438 (80.738) Epoch: [35][7370/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6899 (1.8084) Prec@1 61.719 (58.947) Prec@5 81.250 (80.737) Epoch: [35][7380/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9436 (1.8084) Prec@1 53.125 (58.948) Prec@5 79.688 (80.736) Epoch: [35][7390/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6057 (1.8084) Prec@1 62.500 (58.948) Prec@5 85.156 (80.736) Epoch: [35][7400/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0751 (1.8083) Prec@1 57.812 (58.949) Prec@5 74.219 (80.735) Epoch: [35][7410/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8911 (1.8085) Prec@1 58.594 (58.947) Prec@5 79.688 (80.733) Epoch: [35][7420/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6262 (1.8084) Prec@1 60.938 (58.948) Prec@5 82.031 (80.733) Epoch: [35][7430/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7649 (1.8083) Prec@1 60.156 (58.951) Prec@5 78.906 (80.734) Epoch: [35][7440/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.1298 (1.8084) Prec@1 51.562 (58.949) Prec@5 74.219 (80.733) Epoch: [35][7450/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.8659 (1.8083) Prec@1 59.375 (58.951) Prec@5 79.688 (80.734) Epoch: [35][7460/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7083 (1.8083) Prec@1 61.719 (58.947) Prec@5 80.469 (80.734) Epoch: [35][7470/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7709 (1.8083) Prec@1 60.938 (58.948) Prec@5 82.031 (80.734) Epoch: [35][7480/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9021 (1.8084) Prec@1 56.250 (58.947) Prec@5 78.125 (80.734) Epoch: [35][7490/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0941 (1.8084) Prec@1 57.812 (58.945) Prec@5 74.219 (80.733) Epoch: [35][7500/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5618 (1.8085) Prec@1 64.844 (58.943) Prec@5 86.719 (80.733) Epoch: [35][7510/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7603 (1.8085) Prec@1 59.375 (58.944) Prec@5 82.031 (80.734) Epoch: [35][7520/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7674 (1.8085) Prec@1 59.375 (58.946) Prec@5 81.250 (80.734) Epoch: [35][7530/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9714 (1.8085) Prec@1 55.469 (58.947) Prec@5 81.250 (80.734) Epoch: [35][7540/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.2284 (1.8085) Prec@1 50.000 (58.942) Prec@5 75.000 (80.734) Epoch: [35][7550/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9190 (1.8086) Prec@1 53.906 (58.941) Prec@5 77.344 (80.731) Epoch: [35][7560/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0188 (1.8087) Prec@1 57.031 (58.942) Prec@5 72.656 (80.729) Epoch: [35][7570/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8233 (1.8088) Prec@1 58.594 (58.940) Prec@5 82.812 (80.728) Epoch: [35][7580/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7825 (1.8087) Prec@1 64.062 (58.942) Prec@5 79.688 (80.730) Epoch: [35][7590/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.5988 (1.8086) Prec@1 63.281 (58.943) Prec@5 82.031 (80.733) Epoch: [35][7600/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6625 (1.8086) Prec@1 64.844 (58.942) Prec@5 82.031 (80.731) Epoch: [35][7610/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.4933 (1.8086) Prec@1 65.625 (58.941) Prec@5 88.281 (80.732) Epoch: [35][7620/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8163 (1.8087) Prec@1 59.375 (58.939) Prec@5 81.250 (80.730) Epoch: [35][7630/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9696 (1.8088) Prec@1 53.125 (58.936) Prec@5 73.438 (80.726) Epoch: [35][7640/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.1850 (1.8089) Prec@1 52.344 (58.937) Prec@5 75.781 (80.725) Epoch: [35][7650/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5895 (1.8089) Prec@1 58.594 (58.936) Prec@5 82.812 (80.724) Epoch: [35][7660/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9401 (1.8090) Prec@1 57.031 (58.934) Prec@5 75.781 (80.723) Epoch: [35][7670/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.2377 (1.8091) Prec@1 53.906 (58.932) Prec@5 72.656 (80.721) Epoch: [35][7680/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7333 (1.8091) Prec@1 61.719 (58.931) Prec@5 80.469 (80.721) Epoch: [35][7690/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7895 (1.8092) Prec@1 62.500 (58.931) Prec@5 82.031 (80.719) Epoch: [35][7700/10010] Time 0.356 (0.331) Data 0.000 (0.001) Loss 1.6596 (1.8092) Prec@1 66.406 (58.929) Prec@5 81.250 (80.718) Epoch: [35][7710/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8815 (1.8094) Prec@1 56.250 (58.925) Prec@5 76.562 (80.716) Epoch: [35][7720/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.1466 (1.8095) Prec@1 52.344 (58.922) Prec@5 75.000 (80.715) Epoch: [35][7730/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8262 (1.8096) Prec@1 56.250 (58.922) Prec@5 80.469 (80.713) Epoch: [35][7740/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5396 (1.8096) Prec@1 62.500 (58.922) Prec@5 84.375 (80.712) Epoch: [35][7750/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.2874 (1.8096) Prec@1 69.531 (58.921) Prec@5 88.281 (80.711) Epoch: [35][7760/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0957 (1.8097) Prec@1 55.469 (58.919) Prec@5 78.906 (80.712) Epoch: [35][7770/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0001 (1.8096) Prec@1 57.031 (58.919) Prec@5 75.781 (80.711) Epoch: [35][7780/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5511 (1.8097) Prec@1 64.062 (58.917) Prec@5 87.500 (80.710) Epoch: [35][7790/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8903 (1.8097) Prec@1 56.250 (58.918) Prec@5 76.562 (80.710) Epoch: [35][7800/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8949 (1.8096) Prec@1 54.688 (58.918) Prec@5 77.344 (80.709) Epoch: [35][7810/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.5142 (1.8096) Prec@1 63.281 (58.915) Prec@5 85.156 (80.710) Epoch: [35][7820/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8581 (1.8096) Prec@1 58.594 (58.917) Prec@5 79.688 (80.710) Epoch: [35][7830/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0844 (1.8096) Prec@1 53.125 (58.915) Prec@5 75.000 (80.709) Epoch: [35][7840/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7584 (1.8096) Prec@1 57.812 (58.916) Prec@5 83.594 (80.712) Epoch: [35][7850/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5655 (1.8096) Prec@1 61.719 (58.916) Prec@5 84.375 (80.712) Epoch: [35][7860/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9431 (1.8096) Prec@1 52.344 (58.916) Prec@5 76.562 (80.713) Epoch: [35][7870/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5420 (1.8096) Prec@1 55.469 (58.915) Prec@5 85.938 (80.712) Epoch: [35][7880/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7925 (1.8096) Prec@1 56.250 (58.914) Prec@5 84.375 (80.712) Epoch: [35][7890/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7622 (1.8096) Prec@1 53.125 (58.916) Prec@5 78.906 (80.712) Epoch: [35][7900/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5727 (1.8096) Prec@1 61.719 (58.917) Prec@5 84.375 (80.712) Epoch: [35][7910/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7820 (1.8095) Prec@1 57.031 (58.917) Prec@5 82.031 (80.713) Epoch: [35][7920/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 2.0041 (1.8095) Prec@1 59.375 (58.918) Prec@5 75.000 (80.713) Epoch: [35][7930/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8203 (1.8095) Prec@1 54.688 (58.920) Prec@5 78.906 (80.713) Epoch: [35][7940/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.5736 (1.8095) Prec@1 55.469 (58.920) Prec@5 85.156 (80.714) Epoch: [35][7950/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7514 (1.8094) Prec@1 60.156 (58.921) Prec@5 80.469 (80.715) Epoch: [35][7960/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7246 (1.8094) Prec@1 59.375 (58.918) Prec@5 83.594 (80.715) Epoch: [35][7970/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7418 (1.8095) Prec@1 62.500 (58.917) Prec@5 81.250 (80.714) Epoch: [35][7980/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.5887 (1.8094) Prec@1 65.625 (58.918) Prec@5 85.156 (80.715) Epoch: [35][7990/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9307 (1.8094) Prec@1 61.719 (58.919) Prec@5 75.781 (80.714) Epoch: [35][8000/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6001 (1.8094) Prec@1 61.719 (58.920) Prec@5 87.500 (80.715) Epoch: [35][8010/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7090 (1.8094) Prec@1 58.594 (58.919) Prec@5 82.812 (80.716) Epoch: [35][8020/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.2097 (1.8095) Prec@1 47.656 (58.918) Prec@5 74.219 (80.715) Epoch: [35][8030/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8363 (1.8095) Prec@1 57.031 (58.918) Prec@5 82.812 (80.713) Epoch: [35][8040/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.0929 (1.8096) Prec@1 50.000 (58.918) Prec@5 80.469 (80.713) Epoch: [35][8050/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6673 (1.8096) Prec@1 59.375 (58.919) Prec@5 81.250 (80.713) Epoch: [35][8060/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7539 (1.8096) Prec@1 56.250 (58.919) Prec@5 84.375 (80.713) Epoch: [35][8070/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0248 (1.8096) Prec@1 53.906 (58.918) Prec@5 78.125 (80.712) Epoch: [35][8080/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9565 (1.8096) Prec@1 57.812 (58.919) Prec@5 77.344 (80.712) Epoch: [35][8090/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.6750 (1.8096) Prec@1 59.375 (58.917) Prec@5 78.906 (80.710) Epoch: [35][8100/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0786 (1.8097) Prec@1 53.906 (58.913) Prec@5 78.125 (80.708) Epoch: [35][8110/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8906 (1.8097) Prec@1 49.219 (58.913) Prec@5 80.469 (80.710) Epoch: [35][8120/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.2495 (1.8098) Prec@1 50.781 (58.910) Prec@5 74.219 (80.707) Epoch: [35][8130/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 2.1133 (1.8099) Prec@1 53.125 (58.908) Prec@5 74.219 (80.704) Epoch: [35][8140/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9412 (1.8099) Prec@1 55.469 (58.906) Prec@5 77.344 (80.703) Epoch: [35][8150/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7149 (1.8099) Prec@1 58.594 (58.909) Prec@5 79.688 (80.704) Epoch: [35][8160/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8513 (1.8098) Prec@1 53.125 (58.911) Prec@5 81.250 (80.705) Epoch: [35][8170/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8600 (1.8099) Prec@1 60.156 (58.910) Prec@5 81.250 (80.703) Epoch: [35][8180/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.4815 (1.8099) Prec@1 64.844 (58.909) Prec@5 83.594 (80.704) Epoch: [35][8190/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9605 (1.8099) Prec@1 57.031 (58.909) Prec@5 82.031 (80.705) Epoch: [35][8200/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9643 (1.8099) Prec@1 57.031 (58.908) Prec@5 77.344 (80.705) Epoch: [35][8210/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0982 (1.8099) Prec@1 55.469 (58.909) Prec@5 74.219 (80.706) Epoch: [35][8220/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.3935 (1.8099) Prec@1 64.844 (58.907) Prec@5 89.844 (80.706) Epoch: [35][8230/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7090 (1.8101) Prec@1 63.281 (58.905) Prec@5 82.812 (80.704) Epoch: [35][8240/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9859 (1.8101) Prec@1 49.219 (58.906) Prec@5 76.562 (80.703) Epoch: [35][8250/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 1.6834 (1.8102) Prec@1 64.062 (58.904) Prec@5 83.594 (80.702) Epoch: [35][8260/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7264 (1.8103) Prec@1 60.156 (58.902) Prec@5 80.469 (80.700) Epoch: [35][8270/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8537 (1.8104) Prec@1 60.938 (58.901) Prec@5 82.031 (80.699) Epoch: [35][8280/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9673 (1.8103) Prec@1 57.031 (58.902) Prec@5 76.562 (80.700) Epoch: [35][8290/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0889 (1.8104) Prec@1 58.594 (58.900) Prec@5 76.562 (80.698) Epoch: [35][8300/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7587 (1.8105) Prec@1 61.719 (58.900) Prec@5 83.594 (80.698) Epoch: [35][8310/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.1402 (1.8105) Prec@1 53.906 (58.900) Prec@5 73.438 (80.696) Epoch: [35][8320/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8416 (1.8105) Prec@1 59.375 (58.901) Prec@5 79.688 (80.696) Epoch: [35][8330/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5400 (1.8105) Prec@1 62.500 (58.902) Prec@5 84.375 (80.696) Epoch: [35][8340/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7499 (1.8105) Prec@1 55.469 (58.903) Prec@5 82.812 (80.695) Epoch: [35][8350/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6419 (1.8106) Prec@1 58.594 (58.901) Prec@5 80.469 (80.694) Epoch: [35][8360/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0537 (1.8107) Prec@1 50.781 (58.898) Prec@5 75.781 (80.690) Epoch: [35][8370/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.7410 (1.8107) Prec@1 62.500 (58.900) Prec@5 82.031 (80.689) Epoch: [35][8380/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0185 (1.8107) Prec@1 60.938 (58.900) Prec@5 78.906 (80.688) Epoch: [35][8390/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9179 (1.8108) Prec@1 51.562 (58.899) Prec@5 80.469 (80.687) Epoch: [35][8400/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.6766 (1.8108) Prec@1 60.156 (58.901) Prec@5 82.031 (80.688) Epoch: [35][8410/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6500 (1.8106) Prec@1 56.250 (58.902) Prec@5 82.812 (80.689) Epoch: [35][8420/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0065 (1.8106) Prec@1 60.156 (58.902) Prec@5 80.469 (80.688) Epoch: [35][8430/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5093 (1.8106) Prec@1 64.062 (58.903) Prec@5 85.156 (80.688) Epoch: [35][8440/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7138 (1.8106) Prec@1 60.156 (58.904) Prec@5 81.250 (80.689) Epoch: [35][8450/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9032 (1.8107) Prec@1 57.812 (58.902) Prec@5 79.688 (80.688) Epoch: [35][8460/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.9376 (1.8107) Prec@1 53.906 (58.901) Prec@5 79.688 (80.688) Epoch: [35][8470/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0480 (1.8107) Prec@1 58.594 (58.902) Prec@5 80.469 (80.688) Epoch: [35][8480/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8057 (1.8105) Prec@1 54.688 (58.905) Prec@5 80.469 (80.690) Epoch: [35][8490/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6876 (1.8105) Prec@1 58.594 (58.903) Prec@5 78.906 (80.691) Epoch: [35][8500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5025 (1.8105) Prec@1 64.844 (58.902) Prec@5 82.812 (80.690) Epoch: [35][8510/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8779 (1.8105) Prec@1 56.250 (58.901) Prec@5 80.469 (80.691) Epoch: [35][8520/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8754 (1.8105) Prec@1 53.906 (58.901) Prec@5 80.469 (80.689) Epoch: [35][8530/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5335 (1.8107) Prec@1 62.500 (58.900) Prec@5 82.031 (80.686) Epoch: [35][8540/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7439 (1.8108) Prec@1 62.500 (58.898) Prec@5 81.250 (80.684) Epoch: [35][8550/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6833 (1.8107) Prec@1 59.375 (58.897) Prec@5 82.031 (80.685) Epoch: [35][8560/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6238 (1.8107) Prec@1 62.500 (58.897) Prec@5 85.156 (80.685) Epoch: [35][8570/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7810 (1.8106) Prec@1 56.250 (58.900) Prec@5 81.250 (80.687) Epoch: [35][8580/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.2047 (1.8106) Prec@1 50.781 (58.901) Prec@5 67.969 (80.688) Epoch: [35][8590/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0392 (1.8105) Prec@1 56.250 (58.901) Prec@5 75.781 (80.689) Epoch: [35][8600/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6986 (1.8105) Prec@1 60.156 (58.901) Prec@5 82.812 (80.689) Epoch: [35][8610/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 1.7455 (1.8105) Prec@1 62.500 (58.901) Prec@5 83.594 (80.689) Epoch: [35][8620/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5160 (1.8106) Prec@1 66.406 (58.901) Prec@5 87.500 (80.688) Epoch: [35][8630/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6118 (1.8106) Prec@1 64.062 (58.902) Prec@5 82.031 (80.688) Epoch: [35][8640/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8672 (1.8108) Prec@1 56.250 (58.900) Prec@5 76.562 (80.686) Epoch: [35][8650/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.5599 (1.8107) Prec@1 60.938 (58.901) Prec@5 85.938 (80.686) Epoch: [35][8660/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8558 (1.8108) Prec@1 59.375 (58.899) Prec@5 79.688 (80.685) Epoch: [35][8670/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7289 (1.8108) Prec@1 58.594 (58.898) Prec@5 83.594 (80.685) Epoch: [35][8680/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8460 (1.8109) Prec@1 57.812 (58.895) Prec@5 78.906 (80.684) Epoch: [35][8690/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7470 (1.8109) Prec@1 63.281 (58.896) Prec@5 78.906 (80.683) Epoch: [35][8700/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.6680 (1.8108) Prec@1 66.406 (58.899) Prec@5 82.031 (80.686) Epoch: [35][8710/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9165 (1.8108) Prec@1 57.031 (58.899) Prec@5 78.125 (80.687) Epoch: [35][8720/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6907 (1.8107) Prec@1 64.062 (58.901) Prec@5 83.594 (80.689) Epoch: [35][8730/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.4079 (1.8106) Prec@1 66.406 (58.902) Prec@5 86.719 (80.690) Epoch: [35][8740/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9182 (1.8107) Prec@1 58.594 (58.903) Prec@5 82.812 (80.690) Epoch: [35][8750/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0416 (1.8107) Prec@1 50.000 (58.899) Prec@5 75.781 (80.690) Epoch: [35][8760/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7097 (1.8108) Prec@1 59.375 (58.897) Prec@5 82.812 (80.690) Epoch: [35][8770/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0389 (1.8109) Prec@1 51.562 (58.895) Prec@5 77.344 (80.691) Epoch: [35][8780/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7855 (1.8109) Prec@1 57.031 (58.894) Prec@5 78.906 (80.689) Epoch: [35][8790/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6847 (1.8110) Prec@1 58.594 (58.893) Prec@5 82.812 (80.687) Epoch: [35][8800/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6534 (1.8110) Prec@1 63.281 (58.896) Prec@5 82.812 (80.687) Epoch: [35][8810/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5084 (1.8108) Prec@1 64.844 (58.896) Prec@5 81.250 (80.688) Epoch: [35][8820/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.5831 (1.8107) Prec@1 62.500 (58.897) Prec@5 81.250 (80.690) Epoch: [35][8830/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9159 (1.8108) Prec@1 57.031 (58.896) Prec@5 75.781 (80.688) Epoch: [35][8840/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9893 (1.8110) Prec@1 53.125 (58.893) Prec@5 75.000 (80.686) Epoch: [35][8850/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.5607 (1.8109) Prec@1 66.406 (58.893) Prec@5 82.031 (80.687) Epoch: [35][8860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9051 (1.8109) Prec@1 52.344 (58.891) Prec@5 78.906 (80.684) Epoch: [35][8870/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0862 (1.8109) Prec@1 51.562 (58.890) Prec@5 77.344 (80.684) Epoch: [35][8880/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9936 (1.8110) Prec@1 56.250 (58.889) Prec@5 78.125 (80.683) Epoch: [35][8890/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6260 (1.8109) Prec@1 64.062 (58.888) Prec@5 81.250 (80.683) Epoch: [35][8900/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7997 (1.8108) Prec@1 56.250 (58.889) Prec@5 83.594 (80.684) Epoch: [35][8910/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8053 (1.8109) Prec@1 60.938 (58.887) Prec@5 82.031 (80.683) Epoch: [35][8920/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8867 (1.8110) Prec@1 54.688 (58.887) Prec@5 82.812 (80.682) Epoch: [35][8930/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8123 (1.8109) Prec@1 55.469 (58.888) Prec@5 79.688 (80.684) Epoch: [35][8940/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8098 (1.8110) Prec@1 58.594 (58.887) Prec@5 79.688 (80.682) Epoch: [35][8950/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7533 (1.8111) Prec@1 63.281 (58.885) Prec@5 84.375 (80.681) Epoch: [35][8960/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6440 (1.8110) Prec@1 60.938 (58.885) Prec@5 85.938 (80.681) Epoch: [35][8970/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7675 (1.8111) Prec@1 60.938 (58.884) Prec@5 75.781 (80.680) Epoch: [35][8980/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9337 (1.8112) Prec@1 56.250 (58.882) Prec@5 78.906 (80.679) Epoch: [35][8990/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7850 (1.8112) Prec@1 62.500 (58.882) Prec@5 83.594 (80.680) Epoch: [35][9000/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6813 (1.8112) Prec@1 56.250 (58.881) Prec@5 81.250 (80.679) Epoch: [35][9010/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8655 (1.8113) Prec@1 57.812 (58.878) Prec@5 79.688 (80.679) Epoch: [35][9020/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8746 (1.8112) Prec@1 58.594 (58.882) Prec@5 80.469 (80.680) Epoch: [35][9030/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.3993 (1.8113) Prec@1 72.656 (58.881) Prec@5 85.156 (80.679) Epoch: [35][9040/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1372 (1.8112) Prec@1 51.562 (58.881) Prec@5 76.562 (80.680) Epoch: [35][9050/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1823 (1.8113) Prec@1 48.438 (58.879) Prec@5 75.000 (80.679) Epoch: [35][9060/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9285 (1.8114) Prec@1 55.469 (58.878) Prec@5 81.250 (80.678) Epoch: [35][9070/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.7763 (1.8115) Prec@1 62.500 (58.875) Prec@5 80.469 (80.677) Epoch: [35][9080/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9378 (1.8115) Prec@1 51.562 (58.877) Prec@5 78.906 (80.677) Epoch: [35][9090/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0071 (1.8115) Prec@1 59.375 (58.878) Prec@5 79.688 (80.676) Epoch: [35][9100/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7371 (1.8114) Prec@1 62.500 (58.878) Prec@5 79.688 (80.676) Epoch: [35][9110/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1214 (1.8116) Prec@1 56.250 (58.876) Prec@5 76.562 (80.674) Epoch: [35][9120/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6474 (1.8114) Prec@1 63.281 (58.878) Prec@5 82.812 (80.677) Epoch: [35][9130/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8603 (1.8115) Prec@1 56.250 (58.877) Prec@5 76.562 (80.674) Epoch: [35][9140/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.2850 (1.8115) Prec@1 50.781 (58.875) Prec@5 77.344 (80.675) Epoch: [35][9150/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8986 (1.8114) Prec@1 60.156 (58.876) Prec@5 80.469 (80.675) Epoch: [35][9160/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7524 (1.8115) Prec@1 63.281 (58.876) Prec@5 81.250 (80.674) Epoch: [35][9170/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.8613 (1.8116) Prec@1 55.469 (58.874) Prec@5 81.250 (80.674) Epoch: [35][9180/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5571 (1.8116) Prec@1 60.938 (58.874) Prec@5 84.375 (80.673) Epoch: [35][9190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9898 (1.8116) Prec@1 57.031 (58.874) Prec@5 76.562 (80.672) Epoch: [35][9200/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7792 (1.8116) Prec@1 55.469 (58.873) Prec@5 77.344 (80.673) Epoch: [35][9210/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9331 (1.8116) Prec@1 57.812 (58.875) Prec@5 79.688 (80.673) Epoch: [35][9220/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.1770 (1.8116) Prec@1 51.562 (58.874) Prec@5 75.781 (80.673) Epoch: [35][9230/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9902 (1.8117) Prec@1 54.688 (58.871) Prec@5 78.125 (80.671) Epoch: [35][9240/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8651 (1.8118) Prec@1 57.031 (58.870) Prec@5 79.688 (80.670) Epoch: [35][9250/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6306 (1.8118) Prec@1 62.500 (58.869) Prec@5 82.031 (80.671) Epoch: [35][9260/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8398 (1.8117) Prec@1 58.594 (58.871) Prec@5 78.906 (80.672) Epoch: [35][9270/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9170 (1.8117) Prec@1 50.000 (58.869) Prec@5 79.688 (80.670) Epoch: [35][9280/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6535 (1.8118) Prec@1 64.062 (58.869) Prec@5 83.594 (80.669) Epoch: [35][9290/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.3357 (1.8119) Prec@1 53.906 (58.867) Prec@5 74.219 (80.668) Epoch: [35][9300/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.4804 (1.8118) Prec@1 65.625 (58.868) Prec@5 85.938 (80.670) Epoch: [35][9310/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9221 (1.8119) Prec@1 58.594 (58.866) Prec@5 78.125 (80.668) Epoch: [35][9320/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.7506 (1.8119) Prec@1 60.938 (58.867) Prec@5 78.906 (80.669) Epoch: [35][9330/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0961 (1.8119) Prec@1 52.344 (58.868) Prec@5 76.562 (80.668) Epoch: [35][9340/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7339 (1.8118) Prec@1 60.938 (58.869) Prec@5 82.812 (80.670) Epoch: [35][9350/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8427 (1.8119) Prec@1 60.156 (58.866) Prec@5 78.125 (80.667) Epoch: [35][9360/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.7642 (1.8120) Prec@1 62.500 (58.865) Prec@5 82.812 (80.666) Epoch: [35][9370/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0210 (1.8120) Prec@1 54.688 (58.866) Prec@5 81.250 (80.666) Epoch: [35][9380/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.6003 (1.8121) Prec@1 66.406 (58.865) Prec@5 82.031 (80.665) Epoch: [35][9390/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8029 (1.8122) Prec@1 60.156 (58.865) Prec@5 81.250 (80.664) Epoch: [35][9400/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.4606 (1.8121) Prec@1 64.062 (58.866) Prec@5 85.156 (80.666) Epoch: [35][9410/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8654 (1.8121) Prec@1 55.469 (58.864) Prec@5 82.812 (80.666) Epoch: [35][9420/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7992 (1.8121) Prec@1 57.812 (58.863) Prec@5 82.031 (80.667) Epoch: [35][9430/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8888 (1.8120) Prec@1 58.594 (58.864) Prec@5 83.594 (80.669) Epoch: [35][9440/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.4123 (1.8120) Prec@1 48.438 (58.865) Prec@5 72.656 (80.671) Epoch: [35][9450/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6276 (1.8120) Prec@1 61.719 (58.863) Prec@5 82.031 (80.670) Epoch: [35][9460/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9720 (1.8120) Prec@1 53.125 (58.862) Prec@5 76.562 (80.671) Epoch: [35][9470/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7262 (1.8120) Prec@1 59.375 (58.861) Prec@5 78.125 (80.671) Epoch: [35][9480/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7037 (1.8121) Prec@1 60.938 (58.861) Prec@5 83.594 (80.668) Epoch: [35][9490/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.4852 (1.8121) Prec@1 64.844 (58.862) Prec@5 88.281 (80.669) Epoch: [35][9500/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9655 (1.8121) Prec@1 50.781 (58.861) Prec@5 78.906 (80.667) Epoch: [35][9510/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8011 (1.8120) Prec@1 54.688 (58.862) Prec@5 83.594 (80.670) Epoch: [35][9520/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6343 (1.8120) Prec@1 63.281 (58.863) Prec@5 82.812 (80.671) Epoch: [35][9530/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1425 (1.8120) Prec@1 50.000 (58.861) Prec@5 70.312 (80.669) Epoch: [35][9540/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9940 (1.8121) Prec@1 55.469 (58.860) Prec@5 76.562 (80.669) Epoch: [35][9550/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1330 (1.8122) Prec@1 52.344 (58.859) Prec@5 71.094 (80.667) Epoch: [35][9560/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0448 (1.8122) Prec@1 50.781 (58.858) Prec@5 76.562 (80.666) Epoch: [35][9570/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5075 (1.8121) Prec@1 64.844 (58.859) Prec@5 87.500 (80.667) Epoch: [35][9580/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9990 (1.8122) Prec@1 57.812 (58.859) Prec@5 76.562 (80.665) Epoch: [35][9590/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7186 (1.8122) Prec@1 59.375 (58.859) Prec@5 83.594 (80.664) Epoch: [35][9600/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6560 (1.8121) Prec@1 62.500 (58.861) Prec@5 82.031 (80.666) Epoch: [35][9610/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.2510 (1.8122) Prec@1 52.344 (58.858) Prec@5 71.094 (80.664) Epoch: [35][9620/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0909 (1.8122) Prec@1 59.375 (58.858) Prec@5 73.438 (80.664) Epoch: [35][9630/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6257 (1.8121) Prec@1 63.281 (58.860) Prec@5 81.250 (80.664) Epoch: [35][9640/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5479 (1.8120) Prec@1 63.281 (58.862) Prec@5 88.281 (80.667) Epoch: [35][9650/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9887 (1.8121) Prec@1 59.375 (58.860) Prec@5 79.688 (80.665) Epoch: [35][9660/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0147 (1.8121) Prec@1 55.469 (58.861) Prec@5 80.469 (80.666) Epoch: [35][9670/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7017 (1.8121) Prec@1 60.156 (58.862) Prec@5 82.031 (80.665) Epoch: [35][9680/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9162 (1.8121) Prec@1 56.250 (58.860) Prec@5 78.125 (80.664) Epoch: [35][9690/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7975 (1.8121) Prec@1 55.469 (58.861) Prec@5 81.250 (80.665) Epoch: [35][9700/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8392 (1.8120) Prec@1 55.469 (58.862) Prec@5 76.562 (80.666) Epoch: [35][9710/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9467 (1.8118) Prec@1 59.375 (58.865) Prec@5 80.469 (80.668) Epoch: [35][9720/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7482 (1.8119) Prec@1 60.938 (58.865) Prec@5 84.375 (80.668) Epoch: [35][9730/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.2162 (1.8120) Prec@1 54.688 (58.863) Prec@5 74.219 (80.666) Epoch: [35][9740/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7994 (1.8120) Prec@1 55.469 (58.862) Prec@5 82.812 (80.665) Epoch: [35][9750/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.2945 (1.8121) Prec@1 54.688 (58.862) Prec@5 72.656 (80.665) Epoch: [35][9760/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9683 (1.8120) Prec@1 57.812 (58.863) Prec@5 78.125 (80.665) Epoch: [35][9770/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0632 (1.8121) Prec@1 56.250 (58.863) Prec@5 69.531 (80.663) Epoch: [35][9780/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7105 (1.8121) Prec@1 59.375 (58.863) Prec@5 81.250 (80.662) Epoch: [35][9790/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5468 (1.8121) Prec@1 64.062 (58.865) Prec@5 87.500 (80.662) Epoch: [35][9800/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.9359 (1.8121) Prec@1 57.812 (58.865) Prec@5 78.125 (80.663) Epoch: [35][9810/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0914 (1.8121) Prec@1 59.375 (58.865) Prec@5 74.219 (80.662) Epoch: [35][9820/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9050 (1.8121) Prec@1 59.375 (58.868) Prec@5 76.562 (80.662) Epoch: [35][9830/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7166 (1.8121) Prec@1 60.156 (58.867) Prec@5 81.250 (80.661) Epoch: [35][9840/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9208 (1.8122) Prec@1 57.031 (58.867) Prec@5 82.031 (80.659) Epoch: [35][9850/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8905 (1.8121) Prec@1 60.156 (58.869) Prec@5 80.469 (80.661) Epoch: [35][9860/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.6840 (1.8121) Prec@1 62.500 (58.867) Prec@5 81.250 (80.660) Epoch: [35][9870/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8576 (1.8122) Prec@1 61.719 (58.866) Prec@5 78.906 (80.660) Epoch: [35][9880/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.2815 (1.8123) Prec@1 50.781 (58.865) Prec@5 71.875 (80.658) Epoch: [35][9890/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7324 (1.8123) Prec@1 55.469 (58.864) Prec@5 80.469 (80.658) Epoch: [35][9900/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8508 (1.8123) Prec@1 59.375 (58.863) Prec@5 82.812 (80.658) Epoch: [35][9910/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7040 (1.8124) Prec@1 56.250 (58.859) Prec@5 81.250 (80.656) Epoch: [35][9920/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8637 (1.8124) Prec@1 52.344 (58.861) Prec@5 82.031 (80.656) Epoch: [35][9930/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8699 (1.8124) Prec@1 57.031 (58.860) Prec@5 81.250 (80.655) Epoch: [35][9940/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.7169 (1.8124) Prec@1 61.719 (58.860) Prec@5 82.812 (80.656) Epoch: [35][9950/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6981 (1.8125) Prec@1 62.500 (58.861) Prec@5 84.375 (80.656) Epoch: [35][9960/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9937 (1.8125) Prec@1 57.031 (58.861) Prec@5 77.344 (80.655) Epoch: [35][9970/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7195 (1.8125) Prec@1 63.281 (58.861) Prec@5 82.031 (80.655) Epoch: [35][9980/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8334 (1.8125) Prec@1 57.812 (58.860) Prec@5 81.250 (80.656) Epoch: [35][9990/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9361 (1.8124) Prec@1 57.812 (58.862) Prec@5 79.688 (80.658) Epoch: [35][10000/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.4414 (1.8125) Prec@1 64.062 (58.862) Prec@5 85.156 (80.657) Test: [0/391] Time 1.604 (1.604) Loss 0.7116 (0.7116) Prec@1 85.156 (85.156) Prec@5 93.750 (93.750) Test: [10/391] Time 0.189 (0.249) Loss 1.3308 (0.8113) Prec@1 68.750 (79.830) Prec@5 86.719 (93.111) Test: [20/391] Time 0.102 (0.181) Loss 1.0764 (1.1435) Prec@1 71.875 (71.615) Prec@5 88.281 (89.955) Test: [30/391] Time 0.107 (0.156) Loss 1.9192 (1.3243) Prec@1 62.500 (66.986) Prec@5 85.156 (88.407) Test: [40/391] Time 0.104 (0.143) Loss 1.4549 (1.2127) Prec@1 69.531 (69.893) Prec@5 84.375 (89.386) Test: [50/391] Time 0.098 (0.137) Loss 0.7593 (1.2389) Prec@1 78.125 (69.654) Prec@5 93.750 (89.032) Test: [60/391] Time 0.115 (0.132) Loss 1.2478 (1.1727) Prec@1 67.969 (71.196) Prec@5 90.625 (89.703) Test: [70/391] Time 0.108 (0.129) Loss 1.3176 (1.2050) Prec@1 63.281 (70.037) Prec@5 94.531 (89.756) Test: [80/391] Time 0.106 (0.126) Loss 1.0320 (1.2223) Prec@1 71.875 (69.319) Prec@5 92.969 (89.786) Test: [90/391] Time 0.112 (0.124) Loss 1.1293 (1.2186) Prec@1 60.156 (69.325) Prec@5 92.188 (90.041) Test: [100/391] Time 0.106 (0.123) Loss 1.0310 (1.2155) Prec@1 71.094 (68.943) Prec@5 94.531 (90.261) Test: [110/391] Time 0.104 (0.121) Loss 1.8192 (1.2237) Prec@1 49.219 (68.504) Prec@5 85.938 (90.203) Test: [120/391] Time 0.105 (0.120) Loss 1.2567 (1.2159) Prec@1 68.750 (68.737) Prec@5 90.625 (90.341) Test: [130/391] Time 0.099 (0.118) Loss 0.7355 (1.1995) Prec@1 84.375 (69.281) Prec@5 91.406 (90.524) Test: [140/391] Time 0.103 (0.118) Loss 1.4913 (1.1963) Prec@1 59.375 (69.193) Prec@5 89.062 (90.592) Test: [150/391] Time 0.100 (0.117) Loss 1.0581 (1.2017) Prec@1 63.281 (69.185) Prec@5 92.969 (90.501) Test: [160/391] Time 0.102 (0.116) Loss 1.1286 (1.2079) Prec@1 72.656 (69.158) Prec@5 88.281 (90.353) Test: [170/391] Time 0.101 (0.115) Loss 1.8350 (1.2398) Prec@1 56.250 (68.645) Prec@5 85.156 (89.917) Test: [180/391] Time 0.107 (0.115) Loss 2.6931 (1.2823) Prec@1 38.281 (67.787) Prec@5 76.562 (89.300) Test: [190/391] Time 0.109 (0.115) Loss 2.3138 (1.3208) Prec@1 50.781 (67.126) Prec@5 78.906 (88.707) Test: [200/391] Time 0.103 (0.114) Loss 1.6976 (1.3562) Prec@1 46.875 (66.363) Prec@5 86.719 (88.219) Test: [210/391] Time 0.103 (0.114) Loss 1.8320 (1.3790) Prec@1 58.594 (66.029) Prec@5 82.812 (87.881) Test: [220/391] Time 0.103 (0.113) Loss 1.0614 (1.3886) Prec@1 75.000 (65.925) Prec@5 91.406 (87.691) Test: [230/391] Time 0.108 (0.113) Loss 2.4110 (1.4069) Prec@1 45.312 (65.581) Prec@5 75.000 (87.449) Test: [240/391] Time 0.112 (0.113) Loss 2.1345 (1.4201) Prec@1 56.250 (65.421) Prec@5 75.000 (87.228) Test: [250/391] Time 0.102 (0.113) Loss 1.0252 (1.4494) Prec@1 77.344 (64.831) Prec@5 89.062 (86.843) Test: [260/391] Time 0.104 (0.112) Loss 1.8771 (1.4696) Prec@1 57.812 (64.347) Prec@5 78.906 (86.572) Test: [270/391] Time 0.101 (0.112) Loss 2.5383 (1.4832) Prec@1 42.188 (64.060) Prec@5 78.125 (86.361) Test: [280/391] Time 0.157 (0.112) Loss 1.4877 (1.4925) Prec@1 63.281 (63.937) Prec@5 88.281 (86.260) Test: [290/391] Time 0.104 (0.112) Loss 1.9154 (1.5036) Prec@1 45.312 (63.754) Prec@5 82.812 (86.053) Test: [300/391] Time 0.113 (0.112) Loss 2.0124 (1.5179) Prec@1 65.625 (63.580) Prec@5 83.594 (85.831) Test: [310/391] Time 0.106 (0.111) Loss 1.8660 (1.5297) Prec@1 57.812 (63.362) Prec@5 81.250 (85.626) Test: [320/391] Time 0.104 (0.111) Loss 0.7074 (1.5374) Prec@1 86.719 (63.242) Prec@5 94.531 (85.519) Test: [330/391] Time 0.109 (0.111) Loss 2.3736 (1.5614) Prec@1 46.094 (62.734) Prec@5 72.656 (85.168) Test: [340/391] Time 0.108 (0.111) Loss 1.4052 (1.5688) Prec@1 60.156 (62.486) Prec@5 89.844 (85.088) Test: [350/391] Time 0.104 (0.111) Loss 1.7101 (1.5754) Prec@1 60.156 (62.331) Prec@5 82.031 (84.974) Test: [360/391] Time 0.103 (0.111) Loss 1.4271 (1.5832) Prec@1 59.375 (62.171) Prec@5 88.281 (84.879) Test: [370/391] Time 0.104 (0.111) Loss 1.3040 (1.5774) Prec@1 64.062 (62.258) Prec@5 92.969 (84.973) Test: [380/391] Time 0.111 (0.111) Loss 1.1050 (1.5764) Prec@1 77.344 (62.324) Prec@5 90.625 (84.982) Test: [390/391] Time 0.071 (0.110) Loss 2.7333 (1.5699) Prec@1 30.000 (62.466) Prec@5 71.250 (85.060) * Prec@1 62.466 Prec@5 85.060 Epoch: [36][0/10010] Time 3.098 (3.098) Data 2.945 (2.945) Loss 1.8783 (1.8783) Prec@1 60.156 (60.156) Prec@5 78.906 (78.906) Epoch: [36][10/10010] Time 0.320 (0.576) Data 0.000 (0.268) Loss 1.8368 (1.8399) Prec@1 57.812 (58.168) Prec@5 80.469 (79.616) Epoch: [36][20/10010] Time 0.322 (0.455) Data 0.001 (0.141) Loss 1.7644 (1.8093) Prec@1 57.812 (58.371) Prec@5 78.125 (80.580) Epoch: [36][30/10010] Time 0.321 (0.412) Data 0.001 (0.095) Loss 1.4258 (1.7899) Prec@1 64.062 (59.123) Prec@5 87.500 (81.401) Epoch: [36][40/10010] Time 0.313 (0.390) Data 0.000 (0.072) Loss 2.1477 (1.7866) Prec@1 47.656 (58.899) Prec@5 78.906 (81.460) Epoch: [36][50/10010] Time 0.334 (0.378) Data 0.000 (0.058) Loss 1.5992 (1.7861) Prec@1 60.938 (59.161) Prec@5 86.719 (81.541) Epoch: [36][60/10010] Time 0.341 (0.371) Data 0.000 (0.049) Loss 1.8426 (1.7979) Prec@1 53.906 (58.773) Prec@5 81.250 (81.352) Epoch: [36][70/10010] Time 0.339 (0.365) Data 0.000 (0.042) Loss 1.7351 (1.7964) Prec@1 60.938 (58.825) Prec@5 80.469 (81.085) Epoch: [36][80/10010] Time 0.332 (0.362) Data 0.000 (0.037) Loss 1.8128 (1.8043) Prec@1 61.719 (58.845) Prec@5 82.031 (80.990) Epoch: [36][90/10010] Time 0.343 (0.358) Data 0.000 (0.033) Loss 1.6629 (1.8085) Prec@1 64.062 (58.714) Prec@5 83.594 (80.984) Epoch: [36][100/10010] Time 0.325 (0.355) Data 0.001 (0.030) Loss 1.8349 (1.8010) Prec@1 55.469 (58.787) Prec@5 80.469 (81.173) Epoch: [36][110/10010] Time 0.326 (0.352) Data 0.000 (0.027) Loss 1.7230 (1.8063) Prec@1 60.156 (58.784) Prec@5 81.250 (81.046) Epoch: [36][120/10010] Time 0.319 (0.350) Data 0.001 (0.025) Loss 1.8035 (1.7979) Prec@1 60.156 (58.949) Prec@5 78.906 (81.166) Epoch: [36][130/10010] Time 0.318 (0.348) Data 0.001 (0.023) Loss 1.7644 (1.7995) Prec@1 60.156 (58.934) Prec@5 78.906 (81.178) Epoch: [36][140/10010] Time 0.332 (0.347) Data 0.000 (0.021) Loss 1.4154 (1.7854) Prec@1 65.625 (59.170) Prec@5 84.375 (81.283) Epoch: [36][150/10010] Time 0.331 (0.346) Data 0.000 (0.020) Loss 2.0846 (1.7925) Prec@1 52.344 (59.059) Prec@5 79.688 (81.157) Epoch: [36][160/10010] Time 0.336 (0.345) Data 0.000 (0.019) Loss 2.0944 (1.7926) Prec@1 56.250 (59.137) Prec@5 78.906 (81.158) Epoch: [36][170/10010] Time 0.325 (0.344) Data 0.000 (0.018) Loss 2.1117 (1.7906) Prec@1 53.906 (59.215) Prec@5 75.000 (81.172) Epoch: [36][180/10010] Time 0.339 (0.344) Data 0.001 (0.017) Loss 1.7246 (1.7935) Prec@1 58.594 (59.233) Prec@5 82.031 (81.133) Epoch: [36][190/10010] Time 0.334 (0.343) Data 0.000 (0.016) Loss 1.8800 (1.7957) Prec@1 59.375 (59.228) Prec@5 77.344 (81.082) Epoch: [36][200/10010] Time 0.339 (0.342) Data 0.000 (0.015) Loss 1.8033 (1.7990) Prec@1 64.062 (59.161) Prec@5 81.250 (81.110) Epoch: [36][210/10010] Time 0.324 (0.342) Data 0.000 (0.014) Loss 1.6965 (1.7996) Prec@1 59.375 (59.179) Prec@5 81.250 (81.072) Epoch: [36][220/10010] Time 0.326 (0.341) Data 0.000 (0.014) Loss 1.7095 (1.7964) Prec@1 60.938 (59.241) Prec@5 80.469 (81.133) Epoch: [36][230/10010] Time 0.330 (0.341) Data 0.001 (0.013) Loss 1.5924 (1.7911) Prec@1 64.844 (59.378) Prec@5 84.375 (81.213) Epoch: [36][240/10010] Time 0.342 (0.341) Data 0.001 (0.013) Loss 1.7577 (1.7911) Prec@1 62.500 (59.391) Prec@5 81.250 (81.208) Epoch: [36][250/10010] Time 0.321 (0.340) Data 0.001 (0.012) Loss 1.9093 (1.7933) Prec@1 59.375 (59.338) Prec@5 81.250 (81.225) Epoch: [36][260/10010] Time 0.341 (0.340) Data 0.000 (0.012) Loss 2.0209 (1.7959) Prec@1 54.688 (59.285) Prec@5 76.562 (81.208) Epoch: [36][270/10010] Time 0.334 (0.339) Data 0.001 (0.011) Loss 1.7080 (1.7895) Prec@1 60.156 (59.375) Prec@5 84.375 (81.328) Epoch: [36][280/10010] Time 0.346 (0.339) Data 0.001 (0.011) Loss 1.8892 (1.7871) Prec@1 55.469 (59.400) Prec@5 79.688 (81.367) Epoch: [36][290/10010] Time 0.342 (0.339) Data 0.000 (0.011) Loss 1.5594 (1.7846) Prec@1 65.625 (59.421) Prec@5 82.812 (81.368) Epoch: [36][300/10010] Time 0.326 (0.339) Data 0.001 (0.010) Loss 1.8691 (1.7860) Prec@1 57.031 (59.396) Prec@5 78.906 (81.367) Epoch: [36][310/10010] Time 0.326 (0.338) Data 0.000 (0.010) Loss 1.6761 (1.7842) Prec@1 60.938 (59.455) Prec@5 82.031 (81.381) Epoch: [36][320/10010] Time 0.328 (0.338) Data 0.000 (0.010) Loss 1.8340 (1.7858) Prec@1 53.906 (59.385) Prec@5 80.469 (81.338) Epoch: [36][330/10010] Time 0.317 (0.338) Data 0.000 (0.009) Loss 1.8843 (1.7835) Prec@1 60.938 (59.465) Prec@5 76.562 (81.351) Epoch: [36][340/10010] Time 0.337 (0.337) Data 0.000 (0.009) Loss 1.7713 (1.7847) Prec@1 60.156 (59.467) Prec@5 80.469 (81.353) Epoch: [36][350/10010] Time 0.323 (0.337) Data 0.001 (0.009) Loss 1.9692 (1.7866) Prec@1 57.812 (59.422) Prec@5 75.000 (81.308) Epoch: [36][360/10010] Time 0.324 (0.337) Data 0.000 (0.009) Loss 1.5948 (1.7852) Prec@1 68.750 (59.455) Prec@5 83.594 (81.293) Epoch: [36][370/10010] Time 0.317 (0.337) Data 0.001 (0.008) Loss 2.3500 (1.7893) Prec@1 50.000 (59.367) Prec@5 70.312 (81.218) Epoch: [36][380/10010] Time 0.332 (0.337) Data 0.001 (0.008) Loss 1.7582 (1.7889) Prec@1 61.719 (59.402) Prec@5 81.250 (81.207) Epoch: [36][390/10010] Time 0.327 (0.336) Data 0.000 (0.008) Loss 1.7549 (1.7875) Prec@1 62.500 (59.433) Prec@5 80.469 (81.228) Epoch: [36][400/10010] Time 0.326 (0.336) Data 0.001 (0.008) Loss 1.8909 (1.7866) Prec@1 57.031 (59.424) Prec@5 81.250 (81.260) Epoch: [36][410/10010] Time 0.318 (0.336) Data 0.001 (0.008) Loss 1.5680 (1.7874) Prec@1 60.938 (59.392) Prec@5 83.594 (81.229) Epoch: [36][420/10010] Time 0.325 (0.336) Data 0.000 (0.008) Loss 1.6737 (1.7872) Prec@1 62.500 (59.408) Prec@5 86.719 (81.243) Epoch: [36][430/10010] Time 0.322 (0.335) Data 0.000 (0.007) Loss 1.6935 (1.7898) Prec@1 67.188 (59.391) Prec@5 82.812 (81.221) Epoch: [36][440/10010] Time 0.321 (0.335) Data 0.000 (0.007) Loss 1.6501 (1.7899) Prec@1 64.844 (59.410) Prec@5 81.250 (81.199) Epoch: [36][450/10010] Time 0.327 (0.335) Data 0.000 (0.007) Loss 2.1181 (1.7912) Prec@1 56.250 (59.384) Prec@5 75.000 (81.184) Epoch: [36][460/10010] Time 0.336 (0.335) Data 0.000 (0.007) Loss 1.5512 (1.7923) Prec@1 63.281 (59.370) Prec@5 87.500 (81.191) Epoch: [36][470/10010] Time 0.333 (0.335) Data 0.000 (0.007) Loss 1.5534 (1.7919) Prec@1 62.500 (59.373) Prec@5 85.938 (81.209) Epoch: [36][480/10010] Time 0.336 (0.335) Data 0.000 (0.007) Loss 1.9242 (1.7914) Prec@1 60.938 (59.411) Prec@5 76.562 (81.234) Epoch: [36][490/10010] Time 0.324 (0.335) Data 0.000 (0.007) Loss 2.2647 (1.7928) Prec@1 55.469 (59.364) Prec@5 74.219 (81.205) Epoch: [36][500/10010] Time 0.329 (0.335) Data 0.000 (0.006) Loss 1.6696 (1.7924) Prec@1 57.031 (59.369) Prec@5 82.812 (81.209) Epoch: [36][510/10010] Time 0.326 (0.335) Data 0.001 (0.006) Loss 1.6408 (1.7928) Prec@1 60.156 (59.334) Prec@5 82.812 (81.204) Epoch: [36][520/10010] Time 0.330 (0.335) Data 0.000 (0.006) Loss 1.7546 (1.7921) Prec@1 59.375 (59.351) Prec@5 79.688 (81.222) /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][530/10010] Time 0.345 (0.335) Data 0.000 (0.006) Loss 1.6673 (1.7917) Prec@1 60.156 (59.365) Prec@5 84.375 (81.229) Epoch: [36][540/10010] Time 0.329 (0.334) Data 0.000 (0.006) Loss 1.9215 (1.7920) Prec@1 58.594 (59.349) Prec@5 83.594 (81.207) Epoch: [36][550/10010] Time 0.343 (0.334) Data 0.001 (0.006) Loss 2.0622 (1.7917) Prec@1 53.906 (59.334) Prec@5 75.781 (81.206) Epoch: [36][560/10010] Time 0.342 (0.334) Data 0.000 (0.006) Loss 1.6904 (1.7922) Prec@1 60.938 (59.335) Prec@5 84.375 (81.214) Epoch: [36][570/10010] Time 0.336 (0.334) Data 0.001 (0.006) Loss 1.4862 (1.7908) Prec@1 64.844 (59.338) Prec@5 85.156 (81.214) Epoch: [36][580/10010] Time 0.320 (0.334) Data 0.000 (0.006) Loss 1.9492 (1.7919) Prec@1 59.375 (59.298) Prec@5 78.906 (81.167) Epoch: [36][590/10010] Time 0.324 (0.334) Data 0.000 (0.006) Loss 1.6563 (1.7910) Prec@1 63.281 (59.323) Prec@5 84.375 (81.169) Epoch: [36][600/10010] Time 0.350 (0.334) Data 0.001 (0.005) Loss 1.7488 (1.7914) Prec@1 60.938 (59.307) Prec@5 79.688 (81.151) Epoch: [36][610/10010] Time 0.330 (0.334) Data 0.000 (0.005) Loss 1.8880 (1.7925) Prec@1 60.156 (59.291) Prec@5 78.125 (81.127) Epoch: [36][620/10010] Time 0.323 (0.334) Data 0.001 (0.005) Loss 1.8519 (1.7932) Prec@1 62.500 (59.273) Prec@5 82.031 (81.113) Epoch: [36][630/10010] Time 0.335 (0.334) Data 0.000 (0.005) Loss 1.8994 (1.7939) Prec@1 60.156 (59.239) Prec@5 77.344 (81.115) Epoch: [36][640/10010] Time 0.327 (0.334) Data 0.000 (0.005) Loss 1.7931 (1.7939) Prec@1 61.719 (59.240) Prec@5 79.688 (81.100) Epoch: [36][650/10010] Time 0.338 (0.334) Data 0.001 (0.005) Loss 1.8106 (1.7933) Prec@1 57.812 (59.244) Prec@5 79.688 (81.105) Epoch: [36][660/10010] Time 0.318 (0.334) Data 0.001 (0.005) Loss 1.8768 (1.7944) Prec@1 62.500 (59.243) Prec@5 81.250 (81.077) Epoch: [36][670/10010] Time 0.331 (0.334) Data 0.000 (0.005) Loss 1.7664 (1.7935) Prec@1 60.938 (59.261) Prec@5 79.688 (81.095) Epoch: [36][680/10010] Time 0.316 (0.334) Data 0.000 (0.005) Loss 1.6972 (1.7930) Prec@1 61.719 (59.253) Prec@5 83.594 (81.099) Epoch: [36][690/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 1.6488 (1.7923) Prec@1 64.844 (59.278) Prec@5 81.250 (81.097) Epoch: [36][700/10010] Time 0.316 (0.333) Data 0.001 (0.005) Loss 1.2577 (1.7921) Prec@1 65.625 (59.285) Prec@5 91.406 (81.098) Epoch: [36][710/10010] Time 0.337 (0.334) Data 0.001 (0.005) Loss 1.9738 (1.7914) Prec@1 57.812 (59.304) Prec@5 77.344 (81.093) Epoch: [36][720/10010] Time 0.333 (0.333) Data 0.001 (0.005) Loss 1.5445 (1.7895) Prec@1 67.188 (59.337) Prec@5 82.812 (81.124) Epoch: [36][730/10010] Time 0.327 (0.333) Data 0.000 (0.005) Loss 1.8523 (1.7898) Prec@1 57.812 (59.343) Prec@5 77.344 (81.116) Epoch: [36][740/10010] Time 0.334 (0.333) Data 0.000 (0.005) Loss 1.7858 (1.7909) Prec@1 56.250 (59.330) Prec@5 82.031 (81.126) Epoch: [36][750/10010] Time 0.342 (0.333) Data 0.000 (0.004) Loss 1.6522 (1.7897) Prec@1 59.375 (59.351) Prec@5 87.500 (81.155) Epoch: [36][760/10010] Time 0.329 (0.333) Data 0.001 (0.004) Loss 1.8412 (1.7893) Prec@1 63.281 (59.357) Prec@5 77.344 (81.158) Epoch: [36][770/10010] Time 0.323 (0.333) Data 0.000 (0.004) Loss 1.7005 (1.7886) Prec@1 60.938 (59.369) Prec@5 83.594 (81.165) Epoch: [36][780/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 1.7396 (1.7876) Prec@1 57.812 (59.387) Prec@5 82.031 (81.177) Epoch: [36][790/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 1.7919 (1.7879) Prec@1 60.938 (59.382) Prec@5 81.250 (81.176) Epoch: [36][800/10010] Time 0.315 (0.333) Data 0.001 (0.004) Loss 2.1508 (1.7886) Prec@1 56.250 (59.367) Prec@5 78.125 (81.157) Epoch: [36][810/10010] Time 0.340 (0.333) Data 0.000 (0.004) Loss 1.9266 (1.7887) Prec@1 56.250 (59.376) Prec@5 77.344 (81.142) Epoch: [36][820/10010] Time 0.333 (0.333) Data 0.000 (0.004) Loss 1.9301 (1.7894) Prec@1 60.156 (59.374) Prec@5 78.125 (81.140) Epoch: [36][830/10010] Time 0.320 (0.333) Data 0.001 (0.004) Loss 1.8942 (1.7894) Prec@1 49.219 (59.369) Prec@5 81.250 (81.136) Epoch: [36][840/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 1.9316 (1.7891) Prec@1 53.125 (59.374) Prec@5 80.469 (81.130) Epoch: [36][850/10010] Time 0.327 (0.333) Data 0.001 (0.004) Loss 1.8216 (1.7885) Prec@1 57.812 (59.366) Prec@5 82.031 (81.136) Epoch: [36][860/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 1.7349 (1.7888) Prec@1 64.844 (59.384) Prec@5 79.688 (81.122) Epoch: [36][870/10010] Time 0.342 (0.333) Data 0.000 (0.004) Loss 1.9187 (1.7895) Prec@1 59.375 (59.375) Prec@5 79.688 (81.116) Epoch: [36][880/10010] Time 0.334 (0.333) Data 0.000 (0.004) Loss 1.8360 (1.7901) Prec@1 58.594 (59.370) Prec@5 81.250 (81.105) Epoch: [36][890/10010] Time 0.333 (0.333) Data 0.000 (0.004) Loss 1.9468 (1.7896) Prec@1 55.469 (59.372) Prec@5 78.125 (81.124) Epoch: [36][900/10010] Time 0.309 (0.332) Data 0.001 (0.004) Loss 2.1498 (1.7907) Prec@1 54.688 (59.346) Prec@5 72.656 (81.090) Epoch: [36][910/10010] Time 0.346 (0.332) Data 0.001 (0.004) Loss 1.7456 (1.7907) Prec@1 57.812 (59.328) Prec@5 82.812 (81.084) Epoch: [36][920/10010] Time 0.337 (0.332) Data 0.001 (0.004) Loss 2.0539 (1.7911) Prec@1 53.906 (59.320) Prec@5 74.219 (81.078) Epoch: [36][930/10010] Time 0.339 (0.332) Data 0.001 (0.004) Loss 1.8856 (1.7911) Prec@1 55.469 (59.330) Prec@5 81.250 (81.077) Epoch: [36][940/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 1.7926 (1.7909) Prec@1 58.594 (59.324) Prec@5 81.250 (81.075) Epoch: [36][950/10010] Time 0.328 (0.333) Data 0.000 (0.004) Loss 1.8665 (1.7928) Prec@1 59.375 (59.300) Prec@5 78.906 (81.033) Epoch: [36][960/10010] Time 0.330 (0.332) Data 0.000 (0.004) Loss 1.6879 (1.7934) Prec@1 66.406 (59.295) Prec@5 80.469 (81.031) Epoch: [36][970/10010] Time 0.326 (0.332) Data 0.000 (0.004) Loss 1.8448 (1.7938) Prec@1 60.156 (59.286) Prec@5 79.688 (81.030) Epoch: [36][980/10010] Time 0.322 (0.332) Data 0.001 (0.004) Loss 1.6122 (1.7932) Prec@1 63.281 (59.295) Prec@5 81.250 (81.034) Epoch: [36][990/10010] Time 0.321 (0.332) Data 0.001 (0.004) Loss 1.4925 (1.7925) Prec@1 63.281 (59.321) Prec@5 83.594 (81.042) Epoch: [36][1000/10010] Time 0.315 (0.332) Data 0.001 (0.003) Loss 1.8164 (1.7924) Prec@1 61.719 (59.320) Prec@5 78.906 (81.042) Epoch: [36][1010/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 1.9983 (1.7932) Prec@1 51.562 (59.299) Prec@5 75.781 (81.027) Epoch: [36][1020/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.8270 (1.7927) Prec@1 54.688 (59.285) Prec@5 80.469 (81.032) Epoch: [36][1030/10010] Time 0.318 (0.332) Data 0.000 (0.003) Loss 1.9780 (1.7921) Prec@1 56.250 (59.295) Prec@5 78.125 (81.032) Epoch: [36][1040/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 2.1524 (1.7925) Prec@1 57.031 (59.283) Prec@5 75.000 (81.026) Epoch: [36][1050/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 1.9704 (1.7920) Prec@1 50.000 (59.287) Prec@5 81.250 (81.033) Epoch: [36][1060/10010] Time 0.346 (0.332) Data 0.000 (0.003) Loss 1.5708 (1.7916) Prec@1 62.500 (59.297) Prec@5 85.938 (81.042) Epoch: [36][1070/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 1.8828 (1.7914) Prec@1 60.938 (59.308) Prec@5 79.688 (81.043) Epoch: [36][1080/10010] Time 0.348 (0.332) Data 0.000 (0.003) Loss 1.8624 (1.7921) Prec@1 58.594 (59.291) Prec@5 78.906 (81.040) Epoch: [36][1090/10010] Time 0.333 (0.332) Data 0.000 (0.003) Loss 1.7644 (1.7920) Prec@1 57.812 (59.291) Prec@5 79.688 (81.033) Epoch: [36][1100/10010] Time 0.333 (0.332) Data 0.001 (0.003) Loss 1.7189 (1.7924) Prec@1 55.469 (59.279) Prec@5 83.594 (81.019) Epoch: [36][1110/10010] Time 0.325 (0.332) Data 0.000 (0.003) Loss 1.7068 (1.7925) Prec@1 59.375 (59.279) Prec@5 82.812 (81.017) Epoch: [36][1120/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 1.9640 (1.7927) Prec@1 59.375 (59.277) Prec@5 76.562 (81.001) Epoch: [36][1130/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 2.0860 (1.7929) Prec@1 50.000 (59.278) Prec@5 77.344 (81.003) Epoch: [36][1140/10010] Time 0.334 (0.332) Data 0.001 (0.003) Loss 1.8533 (1.7927) Prec@1 59.375 (59.281) Prec@5 78.125 (81.008) Epoch: [36][1150/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 1.9437 (1.7921) Prec@1 52.344 (59.295) Prec@5 82.812 (81.014) Epoch: [36][1160/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 2.0245 (1.7919) Prec@1 55.469 (59.297) Prec@5 78.906 (81.022) Epoch: [36][1170/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 1.6875 (1.7920) Prec@1 61.719 (59.299) Prec@5 81.250 (81.018) Epoch: [36][1180/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 1.8967 (1.7917) Prec@1 60.938 (59.302) Prec@5 78.125 (81.020) Epoch: [36][1190/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 1.8115 (1.7919) Prec@1 57.812 (59.296) Prec@5 79.688 (81.026) /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][1200/10010] Time 0.317 (0.332) Data 0.001 (0.003) Loss 1.6923 (1.7920) Prec@1 53.906 (59.299) Prec@5 84.375 (81.028) Epoch: [36][1210/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 2.1347 (1.7924) Prec@1 58.594 (59.295) Prec@5 73.438 (81.024) Epoch: [36][1220/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 1.7604 (1.7928) Prec@1 60.938 (59.284) Prec@5 78.906 (81.014) Epoch: [36][1230/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 1.6496 (1.7934) Prec@1 61.719 (59.264) Prec@5 85.938 (81.009) Epoch: [36][1240/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 1.7864 (1.7938) Prec@1 65.625 (59.269) Prec@5 82.031 (81.008) Epoch: [36][1250/10010] Time 0.335 (0.332) Data 0.000 (0.003) Loss 1.6657 (1.7939) Prec@1 66.406 (59.273) Prec@5 82.812 (81.001) Epoch: [36][1260/10010] Time 0.346 (0.332) Data 0.001 (0.003) Loss 2.0831 (1.7933) Prec@1 55.469 (59.285) Prec@5 80.469 (81.008) Epoch: [36][1270/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 1.6454 (1.7931) Prec@1 60.156 (59.286) Prec@5 83.594 (81.010) Epoch: [36][1280/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 1.7692 (1.7925) Prec@1 56.250 (59.291) Prec@5 82.812 (81.022) Epoch: [36][1290/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 1.6241 (1.7926) Prec@1 58.594 (59.282) Prec@5 83.594 (81.021) Epoch: [36][1300/10010] Time 0.314 (0.332) Data 0.001 (0.003) Loss 1.8320 (1.7927) Prec@1 54.688 (59.272) Prec@5 78.906 (81.009) Epoch: [36][1310/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 1.7127 (1.7922) Prec@1 60.938 (59.278) Prec@5 81.250 (81.013) Epoch: [36][1320/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 1.7335 (1.7922) Prec@1 60.156 (59.285) Prec@5 79.688 (81.012) Epoch: [36][1330/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 1.9592 (1.7930) Prec@1 58.594 (59.265) Prec@5 76.562 (80.995) Epoch: [36][1340/10010] Time 0.315 (0.332) Data 0.001 (0.003) Loss 1.7592 (1.7924) Prec@1 59.375 (59.267) Prec@5 79.688 (81.002) Epoch: [36][1350/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 1.6537 (1.7934) Prec@1 64.844 (59.247) Prec@5 79.688 (80.981) Epoch: [36][1360/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 2.0312 (1.7934) Prec@1 53.906 (59.245) Prec@5 70.312 (80.973) Epoch: [36][1370/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.6887 (1.7930) Prec@1 61.719 (59.241) Prec@5 79.688 (80.976) Epoch: [36][1380/10010] Time 0.348 (0.332) Data 0.000 (0.003) Loss 1.5739 (1.7927) Prec@1 59.375 (59.243) Prec@5 80.469 (80.981) Epoch: [36][1390/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.6945 (1.7937) Prec@1 60.156 (59.230) Prec@5 84.375 (80.971) Epoch: [36][1400/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 1.9104 (1.7935) Prec@1 53.906 (59.234) Prec@5 76.562 (80.980) Epoch: [36][1410/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 1.6656 (1.7930) Prec@1 63.281 (59.251) Prec@5 80.469 (80.980) Epoch: [36][1420/10010] Time 0.344 (0.332) Data 0.000 (0.003) Loss 1.6863 (1.7929) Prec@1 64.844 (59.250) Prec@5 80.469 (80.986) Epoch: [36][1430/10010] Time 0.315 (0.332) Data 0.000 (0.003) Loss 1.5040 (1.7929) Prec@1 61.719 (59.253) Prec@5 89.062 (80.985) Epoch: [36][1440/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 1.8534 (1.7928) Prec@1 57.812 (59.260) Prec@5 75.000 (80.988) Epoch: [36][1450/10010] Time 0.317 (0.331) Data 0.001 (0.003) Loss 1.9502 (1.7930) Prec@1 55.469 (59.258) Prec@5 75.781 (80.980) Epoch: [36][1460/10010] Time 0.328 (0.331) Data 0.001 (0.003) Loss 1.7768 (1.7935) Prec@1 56.250 (59.250) Prec@5 80.469 (80.977) Epoch: [36][1470/10010] Time 0.314 (0.331) Data 0.000 (0.003) Loss 1.6584 (1.7935) Prec@1 63.281 (59.260) Prec@5 79.688 (80.977) Epoch: [36][1480/10010] Time 0.327 (0.331) Data 0.001 (0.003) Loss 2.0023 (1.7933) Prec@1 53.906 (59.268) Prec@5 78.125 (80.987) Epoch: [36][1490/10010] Time 0.324 (0.331) Data 0.000 (0.003) Loss 1.7025 (1.7931) Prec@1 56.250 (59.275) Prec@5 84.375 (80.997) Epoch: [36][1500/10010] Time 0.320 (0.331) Data 0.001 (0.003) Loss 1.9658 (1.7928) Prec@1 50.781 (59.281) Prec@5 82.031 (80.997) Epoch: [36][1510/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.5979 (1.7920) Prec@1 64.844 (59.308) Prec@5 82.031 (81.004) Epoch: [36][1520/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.7736 (1.7920) Prec@1 59.375 (59.312) Prec@5 78.906 (81.000) Epoch: [36][1530/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 2.1126 (1.7925) Prec@1 52.344 (59.304) Prec@5 78.125 (80.996) Epoch: [36][1540/10010] Time 0.312 (0.331) Data 0.001 (0.002) Loss 1.3685 (1.7922) Prec@1 64.844 (59.308) Prec@5 89.062 (81.008) Epoch: [36][1550/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.9633 (1.7929) Prec@1 49.219 (59.290) Prec@5 82.812 (80.999) Epoch: [36][1560/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.7253 (1.7928) Prec@1 63.281 (59.296) Prec@5 79.688 (81.000) Epoch: [36][1570/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 2.0290 (1.7932) Prec@1 53.906 (59.294) Prec@5 76.562 (80.998) Epoch: [36][1580/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.9110 (1.7930) Prec@1 51.562 (59.292) Prec@5 81.250 (81.002) Epoch: [36][1590/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 1.9235 (1.7932) Prec@1 59.375 (59.287) Prec@5 78.906 (80.996) Epoch: [36][1600/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.9587 (1.7937) Prec@1 56.250 (59.289) Prec@5 78.906 (80.987) Epoch: [36][1610/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.0201 (1.7935) Prec@1 51.562 (59.293) Prec@5 76.562 (80.991) Epoch: [36][1620/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.9166 (1.7935) Prec@1 55.469 (59.302) Prec@5 78.906 (80.985) Epoch: [36][1630/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.6735 (1.7933) Prec@1 54.688 (59.302) Prec@5 85.156 (80.988) Epoch: [36][1640/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.7862 (1.7933) Prec@1 55.469 (59.305) Prec@5 82.031 (80.983) Epoch: [36][1650/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.5665 (1.7928) Prec@1 66.406 (59.318) Prec@5 82.031 (80.992) Epoch: [36][1660/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.7065 (1.7928) Prec@1 61.719 (59.317) Prec@5 82.812 (80.997) Epoch: [36][1670/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.5161 (1.7927) Prec@1 69.531 (59.317) Prec@5 85.156 (81.004) Epoch: [36][1680/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.7550 (1.7923) Prec@1 60.938 (59.321) Prec@5 82.031 (81.011) Epoch: [36][1690/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.7027 (1.7926) Prec@1 65.625 (59.325) Prec@5 83.594 (81.001) Epoch: [36][1700/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.9270 (1.7926) Prec@1 61.719 (59.330) Prec@5 78.125 (80.999) Epoch: [36][1710/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 1.8970 (1.7929) Prec@1 61.719 (59.326) Prec@5 75.781 (80.989) Epoch: [36][1720/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 2.0289 (1.7933) Prec@1 55.469 (59.317) Prec@5 78.125 (80.985) Epoch: [36][1730/10010] Time 0.349 (0.331) Data 0.001 (0.002) Loss 1.7306 (1.7934) Prec@1 57.812 (59.308) Prec@5 82.812 (80.986) Epoch: [36][1740/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.7663 (1.7931) Prec@1 61.719 (59.308) Prec@5 78.125 (80.989) Epoch: [36][1750/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.8746 (1.7935) Prec@1 61.719 (59.298) Prec@5 80.469 (80.981) Epoch: [36][1760/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.7504 (1.7936) Prec@1 56.250 (59.296) Prec@5 80.469 (80.975) Epoch: [36][1770/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.7650 (1.7932) Prec@1 62.500 (59.308) Prec@5 80.469 (80.980) Epoch: [36][1780/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.6773 (1.7930) Prec@1 54.688 (59.309) Prec@5 80.469 (80.980) Epoch: [36][1790/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 1.8319 (1.7931) Prec@1 54.688 (59.300) Prec@5 81.250 (80.977) Epoch: [36][1800/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.8893 (1.7928) Prec@1 50.781 (59.300) Prec@5 78.125 (80.984) Epoch: [36][1810/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.7961 (1.7929) Prec@1 64.062 (59.299) Prec@5 79.688 (80.978) Epoch: [36][1820/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.1005 (1.7937) Prec@1 53.125 (59.285) Prec@5 75.000 (80.960) Epoch: [36][1830/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.8328 (1.7939) Prec@1 63.281 (59.277) Prec@5 80.469 (80.956) Epoch: [36][1840/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.7248 (1.7941) Prec@1 57.812 (59.271) Prec@5 83.594 (80.953) Epoch: [36][1850/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.9694 (1.7945) Prec@1 57.031 (59.268) Prec@5 77.344 (80.944) Epoch: [36][1860/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 2.1314 (1.7946) Prec@1 53.125 (59.264) Prec@5 77.344 (80.941) Epoch: [36][1870/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 2.0440 (1.7948) Prec@1 54.688 (59.257) Prec@5 82.031 (80.941) Epoch: [36][1880/10010] Time 0.349 (0.331) Data 0.000 (0.002) Loss 1.9922 (1.7954) Prec@1 55.469 (59.244) Prec@5 78.125 (80.932) Epoch: [36][1890/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.0164 (1.7952) Prec@1 57.812 (59.244) Prec@5 78.125 (80.937) Epoch: [36][1900/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.7673 (1.7955) Prec@1 59.375 (59.239) Prec@5 81.250 (80.937) Epoch: [36][1910/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.0324 (1.7956) Prec@1 54.688 (59.234) Prec@5 81.250 (80.937) Epoch: [36][1920/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.0609 (1.7955) Prec@1 57.031 (59.229) Prec@5 76.562 (80.939) Epoch: [36][1930/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 1.7392 (1.7957) Prec@1 64.062 (59.229) Prec@5 81.250 (80.931) Epoch: [36][1940/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.5745 (1.7953) Prec@1 64.062 (59.234) Prec@5 84.375 (80.936) Epoch: [36][1950/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.5652 (1.7952) Prec@1 61.719 (59.232) Prec@5 85.156 (80.942) Epoch: [36][1960/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 1.6855 (1.7955) Prec@1 62.500 (59.226) Prec@5 83.594 (80.937) Epoch: [36][1970/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.9957 (1.7957) Prec@1 54.688 (59.216) Prec@5 75.000 (80.936) Epoch: [36][1980/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.7854 (1.7957) Prec@1 58.594 (59.220) Prec@5 81.250 (80.934) Epoch: [36][1990/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 1.5541 (1.7960) Prec@1 62.500 (59.217) Prec@5 86.719 (80.935) Epoch: [36][2000/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.6045 (1.7963) Prec@1 63.281 (59.213) Prec@5 83.594 (80.931) Epoch: [36][2010/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.6738 (1.7965) Prec@1 57.812 (59.205) Prec@5 85.156 (80.930) Epoch: [36][2020/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.9889 (1.7968) Prec@1 54.688 (59.199) Prec@5 78.906 (80.927) Epoch: [36][2030/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.8084 (1.7972) Prec@1 62.500 (59.200) Prec@5 75.781 (80.920) Epoch: [36][2040/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.7937 (1.7973) Prec@1 58.594 (59.197) Prec@5 80.469 (80.914) Epoch: [36][2050/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.7231 (1.7969) Prec@1 59.375 (59.204) Prec@5 79.688 (80.922) Epoch: [36][2060/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.9362 (1.7970) Prec@1 58.594 (59.210) Prec@5 77.344 (80.919) Epoch: [36][2070/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 1.8662 (1.7969) Prec@1 57.812 (59.210) Prec@5 80.469 (80.928) Epoch: [36][2080/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.4868 (1.7963) Prec@1 63.281 (59.216) Prec@5 85.156 (80.937) Epoch: [36][2090/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 2.0132 (1.7968) Prec@1 54.688 (59.211) Prec@5 75.000 (80.925) Epoch: [36][2100/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 2.2560 (1.7963) Prec@1 54.688 (59.223) Prec@5 75.781 (80.933) Epoch: [36][2110/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.0418 (1.7966) Prec@1 55.469 (59.216) Prec@5 75.781 (80.927) Epoch: [36][2120/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.9421 (1.7964) Prec@1 61.719 (59.229) Prec@5 78.906 (80.928) Epoch: [36][2130/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.7801 (1.7963) Prec@1 60.938 (59.230) Prec@5 79.688 (80.931) Epoch: [36][2140/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.0062 (1.7959) Prec@1 60.156 (59.236) Prec@5 78.906 (80.934) Epoch: [36][2150/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.5364 (1.7958) Prec@1 64.844 (59.241) Prec@5 86.719 (80.935) Epoch: [36][2160/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 1.8858 (1.7960) Prec@1 57.812 (59.237) Prec@5 81.250 (80.934) Epoch: [36][2170/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 1.9488 (1.7962) Prec@1 57.812 (59.228) Prec@5 78.906 (80.937) Epoch: [36][2180/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.0301 (1.7962) Prec@1 50.781 (59.225) Prec@5 77.344 (80.937) Epoch: [36][2190/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.6850 (1.7963) Prec@1 57.812 (59.224) Prec@5 79.688 (80.936) Epoch: [36][2200/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.5866 (1.7966) Prec@1 57.031 (59.220) Prec@5 86.719 (80.932) Epoch: [36][2210/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.0494 (1.7968) Prec@1 55.469 (59.213) Prec@5 77.344 (80.928) Epoch: [36][2220/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.6998 (1.7967) Prec@1 60.938 (59.209) Prec@5 80.469 (80.928) Epoch: [36][2230/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.9491 (1.7969) Prec@1 55.469 (59.204) Prec@5 78.906 (80.922) Epoch: [36][2240/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 1.6778 (1.7964) Prec@1 62.500 (59.214) Prec@5 79.688 (80.930) Epoch: [36][2250/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 1.5764 (1.7966) Prec@1 67.969 (59.205) Prec@5 85.156 (80.923) Epoch: [36][2260/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 1.7932 (1.7970) Prec@1 65.625 (59.200) Prec@5 78.125 (80.911) Epoch: [36][2270/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.7930 (1.7971) Prec@1 59.375 (59.203) Prec@5 76.562 (80.905) Epoch: [36][2280/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.7708 (1.7973) Prec@1 58.594 (59.199) Prec@5 82.812 (80.901) Epoch: [36][2290/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.8261 (1.7979) Prec@1 62.500 (59.189) Prec@5 80.469 (80.894) Epoch: [36][2300/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.8950 (1.7978) Prec@1 57.031 (59.196) Prec@5 76.562 (80.893) Epoch: [36][2310/10010] Time 0.346 (0.331) Data 0.000 (0.002) Loss 1.8170 (1.7979) Prec@1 60.156 (59.201) Prec@5 78.906 (80.889) Epoch: [36][2320/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.9581 (1.7978) Prec@1 57.031 (59.203) Prec@5 78.906 (80.888) Epoch: [36][2330/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.0482 (1.7981) Prec@1 50.781 (59.203) Prec@5 78.125 (80.887) Epoch: [36][2340/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.8116 (1.7983) Prec@1 50.000 (59.195) Prec@5 83.594 (80.885) Epoch: [36][2350/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.9877 (1.7989) Prec@1 57.031 (59.182) Prec@5 75.781 (80.875) Epoch: [36][2360/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.9103 (1.7991) Prec@1 57.812 (59.184) Prec@5 78.906 (80.872) Epoch: [36][2370/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 1.6180 (1.7991) Prec@1 65.625 (59.182) Prec@5 83.594 (80.873) Epoch: [36][2380/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.9857 (1.7994) Prec@1 58.594 (59.181) Prec@5 77.344 (80.872) Epoch: [36][2390/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.5675 (1.7991) Prec@1 71.094 (59.190) Prec@5 84.375 (80.878) Epoch: [36][2400/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.7039 (1.7992) Prec@1 60.938 (59.187) Prec@5 82.812 (80.879) Epoch: [36][2410/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 1.6715 (1.7991) Prec@1 60.938 (59.194) Prec@5 85.156 (80.884) Epoch: [36][2420/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.7148 (1.7990) Prec@1 60.938 (59.199) Prec@5 81.250 (80.884) Epoch: [36][2430/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.0513 (1.7993) Prec@1 49.219 (59.194) Prec@5 76.562 (80.875) Epoch: [36][2440/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.5680 (1.7996) Prec@1 60.938 (59.190) Prec@5 83.594 (80.873) Epoch: [36][2450/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.6458 (1.7995) Prec@1 63.281 (59.191) Prec@5 82.812 (80.871) Epoch: [36][2460/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.8009 (1.7995) Prec@1 56.250 (59.189) Prec@5 82.812 (80.868) Epoch: [36][2470/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.0352 (1.7995) Prec@1 57.031 (59.191) Prec@5 82.031 (80.868) Epoch: [36][2480/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.0247 (1.7999) Prec@1 56.250 (59.179) Prec@5 79.688 (80.862) Epoch: [36][2490/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 2.1690 (1.8000) Prec@1 54.688 (59.181) Prec@5 75.781 (80.858) Epoch: [36][2500/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.7017 (1.8000) Prec@1 63.281 (59.186) Prec@5 81.250 (80.859) Epoch: [36][2510/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.6072 (1.8001) Prec@1 62.500 (59.190) Prec@5 85.938 (80.855) Epoch: [36][2520/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.7867 (1.7999) Prec@1 57.812 (59.197) Prec@5 81.250 (80.855) Epoch: [36][2530/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.8676 (1.8002) Prec@1 58.594 (59.198) Prec@5 78.906 (80.847) Epoch: [36][2540/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.4422 (1.7999) Prec@1 64.062 (59.201) Prec@5 85.938 (80.851) Epoch: [36][2550/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.8973 (1.8000) Prec@1 57.812 (59.197) Prec@5 80.469 (80.852) Epoch: [36][2560/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.7931 (1.7998) Prec@1 61.719 (59.207) Prec@5 81.250 (80.852) Epoch: [36][2570/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.5438 (1.7994) Prec@1 63.281 (59.212) Prec@5 85.156 (80.856) Epoch: [36][2580/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 1.5289 (1.7991) Prec@1 63.281 (59.216) Prec@5 84.375 (80.863) Epoch: [36][2590/10010] Time 0.315 (0.331) Data 0.000 (0.002) Loss 1.9485 (1.7988) Prec@1 53.125 (59.220) Prec@5 77.344 (80.866) Epoch: [36][2600/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 2.0948 (1.7988) Prec@1 53.906 (59.220) Prec@5 79.688 (80.869) Epoch: [36][2610/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 1.6376 (1.7986) Prec@1 60.938 (59.223) Prec@5 81.250 (80.872) Epoch: [36][2620/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.6891 (1.7986) Prec@1 60.938 (59.219) Prec@5 84.375 (80.874) Epoch: [36][2630/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.8471 (1.7987) Prec@1 58.594 (59.222) Prec@5 83.594 (80.876) Epoch: [36][2640/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.5986 (1.7988) Prec@1 67.188 (59.220) Prec@5 85.156 (80.875) Epoch: [36][2650/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.6508 (1.7985) Prec@1 60.156 (59.219) Prec@5 84.375 (80.879) Epoch: [36][2660/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 1.9180 (1.7986) Prec@1 53.906 (59.216) Prec@5 79.688 (80.880) Epoch: [36][2670/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.5751 (1.7983) Prec@1 59.375 (59.216) Prec@5 83.594 (80.888) Epoch: [36][2680/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.6249 (1.7987) Prec@1 60.156 (59.209) Prec@5 82.031 (80.885) Epoch: [36][2690/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.9617 (1.7989) Prec@1 57.812 (59.207) Prec@5 78.125 (80.880) Epoch: [36][2700/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.7447 (1.7991) Prec@1 57.812 (59.206) Prec@5 79.688 (80.876) Epoch: [36][2710/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.6900 (1.7993) Prec@1 61.719 (59.201) Prec@5 82.812 (80.872) Epoch: [36][2720/10010] Time 0.315 (0.331) Data 0.001 (0.002) Loss 1.6832 (1.7994) Prec@1 60.156 (59.197) Prec@5 85.156 (80.870) Epoch: [36][2730/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.4909 (1.7992) Prec@1 61.719 (59.190) Prec@5 84.375 (80.873) Epoch: [36][2740/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.8104 (1.7993) Prec@1 60.938 (59.190) Prec@5 77.344 (80.866) Epoch: [36][2750/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.5854 (1.7994) Prec@1 58.594 (59.185) Prec@5 83.594 (80.861) Epoch: [36][2760/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 1.9997 (1.7996) Prec@1 54.688 (59.183) Prec@5 77.344 (80.857) Epoch: [36][2770/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.5465 (1.7998) Prec@1 64.062 (59.180) Prec@5 82.031 (80.855) Epoch: [36][2780/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.8739 (1.7996) Prec@1 60.938 (59.185) Prec@5 79.688 (80.859) Epoch: [36][2790/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.6887 (1.7993) Prec@1 63.281 (59.186) Prec@5 82.812 (80.863) Epoch: [36][2800/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.9869 (1.7995) Prec@1 52.344 (59.180) Prec@5 79.688 (80.863) Epoch: [36][2810/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.7129 (1.7997) Prec@1 59.375 (59.176) Prec@5 83.594 (80.865) Epoch: [36][2820/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.7416 (1.7998) Prec@1 61.719 (59.183) Prec@5 84.375 (80.862) Epoch: [36][2830/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.9468 (1.8000) Prec@1 54.688 (59.179) Prec@5 75.781 (80.858) Epoch: [36][2840/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 2.0055 (1.8003) Prec@1 51.562 (59.172) Prec@5 76.562 (80.851) Epoch: [36][2850/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.7049 (1.8004) Prec@1 60.156 (59.169) Prec@5 84.375 (80.849) Epoch: [36][2860/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.7660 (1.8005) Prec@1 60.156 (59.169) Prec@5 83.594 (80.854) Epoch: [36][2870/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.0817 (1.8006) Prec@1 52.344 (59.164) Prec@5 75.000 (80.848) Epoch: [36][2880/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.7850 (1.8007) Prec@1 61.719 (59.163) Prec@5 80.469 (80.843) Epoch: [36][2890/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.8000 (1.8007) Prec@1 59.375 (59.166) Prec@5 80.469 (80.843) Epoch: [36][2900/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.6890 (1.8010) Prec@1 56.250 (59.160) Prec@5 83.594 (80.843) Epoch: [36][2910/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 1.4975 (1.8010) Prec@1 62.500 (59.158) Prec@5 86.719 (80.849) Epoch: [36][2920/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.6735 (1.8011) Prec@1 62.500 (59.154) Prec@5 86.719 (80.847) Epoch: [36][2930/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.4422 (1.8007) Prec@1 70.312 (59.160) Prec@5 85.156 (80.856) Epoch: [36][2940/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.9278 (1.8007) Prec@1 54.688 (59.160) Prec@5 80.469 (80.859) Epoch: [36][2950/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.8932 (1.8009) Prec@1 53.906 (59.158) Prec@5 79.688 (80.856) Epoch: [36][2960/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.5659 (1.8009) Prec@1 61.719 (59.156) Prec@5 83.594 (80.856) Epoch: [36][2970/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.8137 (1.8009) Prec@1 57.031 (59.153) Prec@5 85.156 (80.853) Epoch: [36][2980/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.7425 (1.8006) Prec@1 63.281 (59.155) Prec@5 85.156 (80.860) Epoch: [36][2990/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.8374 (1.8006) Prec@1 53.906 (59.154) Prec@5 79.688 (80.860) Epoch: [36][3000/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.6741 (1.8009) Prec@1 60.938 (59.147) Prec@5 82.031 (80.855) Epoch: [36][3010/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.7085 (1.8008) Prec@1 58.594 (59.151) Prec@5 85.938 (80.858) Epoch: [36][3020/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.7709 (1.8011) Prec@1 60.156 (59.149) Prec@5 79.688 (80.853) Epoch: [36][3030/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.7823 (1.8009) Prec@1 59.375 (59.153) Prec@5 79.688 (80.854) Epoch: [36][3040/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.8262 (1.8009) Prec@1 56.250 (59.152) Prec@5 82.812 (80.854) Epoch: [36][3050/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.7156 (1.8012) Prec@1 57.812 (59.144) Prec@5 83.594 (80.848) Epoch: [36][3060/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.5168 (1.8014) Prec@1 63.281 (59.142) Prec@5 84.375 (80.843) Epoch: [36][3070/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 2.0990 (1.8016) Prec@1 57.031 (59.145) Prec@5 74.219 (80.837) Epoch: [36][3080/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.8743 (1.8018) Prec@1 61.719 (59.138) Prec@5 75.000 (80.831) Epoch: [36][3090/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.7740 (1.8019) Prec@1 56.250 (59.136) Prec@5 82.812 (80.826) Epoch: [36][3100/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.7314 (1.8015) Prec@1 61.719 (59.145) Prec@5 78.906 (80.835) Epoch: [36][3110/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8117 (1.8015) Prec@1 60.156 (59.145) Prec@5 80.469 (80.835) Epoch: [36][3120/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.4765 (1.8014) Prec@1 61.719 (59.149) Prec@5 86.719 (80.838) Epoch: [36][3130/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7327 (1.8012) Prec@1 58.594 (59.155) Prec@5 78.125 (80.840) Epoch: [36][3140/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7541 (1.8013) Prec@1 56.250 (59.151) Prec@5 80.469 (80.843) Epoch: [36][3150/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6449 (1.8014) Prec@1 58.594 (59.148) Prec@5 83.594 (80.839) Epoch: [36][3160/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0683 (1.8015) Prec@1 47.656 (59.145) Prec@5 75.000 (80.836) Epoch: [36][3170/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8675 (1.8015) Prec@1 57.812 (59.149) Prec@5 82.031 (80.832) Epoch: [36][3180/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8030 (1.8015) Prec@1 56.250 (59.145) Prec@5 82.031 (80.835) Epoch: [36][3190/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.5904 (1.8014) Prec@1 59.375 (59.150) Prec@5 87.500 (80.837) Epoch: [36][3200/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.1229 (1.8015) Prec@1 59.375 (59.149) Prec@5 78.906 (80.835) Epoch: [36][3210/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8808 (1.8016) Prec@1 56.250 (59.154) Prec@5 78.906 (80.832) Epoch: [36][3220/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.4530 (1.8017) Prec@1 59.375 (59.148) Prec@5 88.281 (80.832) Epoch: [36][3230/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8714 (1.8016) Prec@1 60.156 (59.154) Prec@5 80.469 (80.835) Epoch: [36][3240/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.3337 (1.8015) Prec@1 69.531 (59.155) Prec@5 87.500 (80.835) Epoch: [36][3250/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7780 (1.8016) Prec@1 58.594 (59.152) Prec@5 83.594 (80.831) Epoch: [36][3260/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6201 (1.8017) Prec@1 59.375 (59.149) Prec@5 82.031 (80.827) Epoch: [36][3270/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9366 (1.8018) Prec@1 52.344 (59.145) Prec@5 78.125 (80.828) Epoch: [36][3280/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.4867 (1.8018) Prec@1 66.406 (59.144) Prec@5 85.938 (80.830) Epoch: [36][3290/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0424 (1.8019) Prec@1 54.688 (59.140) Prec@5 78.125 (80.826) Epoch: [36][3300/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.2083 (1.8025) Prec@1 48.438 (59.131) Prec@5 75.000 (80.819) Epoch: [36][3310/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0487 (1.8025) Prec@1 55.469 (59.131) Prec@5 75.781 (80.819) Epoch: [36][3320/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7958 (1.8027) Prec@1 53.906 (59.128) Prec@5 81.250 (80.814) Epoch: [36][3330/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8186 (1.8026) Prec@1 53.906 (59.125) Prec@5 78.906 (80.814) Epoch: [36][3340/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7671 (1.8028) Prec@1 64.062 (59.125) Prec@5 81.250 (80.811) Epoch: [36][3350/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9664 (1.8030) Prec@1 56.250 (59.120) Prec@5 76.562 (80.807) Epoch: [36][3360/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7277 (1.8031) Prec@1 53.906 (59.115) Prec@5 82.031 (80.803) Epoch: [36][3370/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8514 (1.8030) Prec@1 56.250 (59.116) Prec@5 82.031 (80.805) Epoch: [36][3380/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0947 (1.8030) Prec@1 56.250 (59.119) Prec@5 75.781 (80.806) Epoch: [36][3390/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8353 (1.8032) Prec@1 54.688 (59.115) Prec@5 78.906 (80.799) Epoch: [36][3400/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.4347 (1.8033) Prec@1 69.531 (59.113) Prec@5 87.500 (80.794) Epoch: [36][3410/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0725 (1.8034) Prec@1 50.000 (59.113) Prec@5 77.344 (80.796) Epoch: [36][3420/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7041 (1.8033) Prec@1 61.719 (59.112) Prec@5 82.812 (80.803) Epoch: [36][3430/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7983 (1.8032) Prec@1 57.031 (59.111) Prec@5 81.250 (80.803) Epoch: [36][3440/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6973 (1.8031) Prec@1 63.281 (59.115) Prec@5 81.250 (80.804) Epoch: [36][3450/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6794 (1.8032) Prec@1 58.594 (59.108) Prec@5 78.906 (80.799) Epoch: [36][3460/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.3816 (1.8031) Prec@1 67.188 (59.111) Prec@5 85.938 (80.799) Epoch: [36][3470/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7387 (1.8028) Prec@1 59.375 (59.118) Prec@5 79.688 (80.804) Epoch: [36][3480/10010] Time 0.339 (0.331) Data 0.002 (0.001) Loss 1.7832 (1.8026) Prec@1 61.719 (59.124) Prec@5 81.250 (80.809) Epoch: [36][3490/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5716 (1.8026) Prec@1 67.969 (59.126) Prec@5 84.375 (80.811) Epoch: [36][3500/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.2414 (1.8026) Prec@1 57.031 (59.126) Prec@5 71.094 (80.809) Epoch: [36][3510/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9449 (1.8025) Prec@1 56.250 (59.125) Prec@5 78.906 (80.808) Epoch: [36][3520/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9012 (1.8023) Prec@1 59.375 (59.130) Prec@5 76.562 (80.809) Epoch: [36][3530/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9166 (1.8023) Prec@1 57.812 (59.123) Prec@5 82.031 (80.809) Epoch: [36][3540/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0478 (1.8021) Prec@1 55.469 (59.124) Prec@5 75.781 (80.813) Epoch: [36][3550/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.5790 (1.8022) Prec@1 58.594 (59.121) Prec@5 85.938 (80.812) Epoch: [36][3560/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8967 (1.8021) Prec@1 55.469 (59.125) Prec@5 80.469 (80.811) Epoch: [36][3570/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7275 (1.8019) Prec@1 59.375 (59.129) Prec@5 78.125 (80.814) Epoch: [36][3580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7055 (1.8020) Prec@1 66.406 (59.130) Prec@5 81.250 (80.811) Epoch: [36][3590/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.5482 (1.8020) Prec@1 62.500 (59.129) Prec@5 87.500 (80.811) Epoch: [36][3600/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1581 (1.8025) Prec@1 55.469 (59.122) Prec@5 74.219 (80.803) Epoch: [36][3610/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7763 (1.8026) Prec@1 58.594 (59.119) Prec@5 79.688 (80.801) /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][3620/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6997 (1.8025) Prec@1 60.938 (59.118) Prec@5 83.594 (80.804) Epoch: [36][3630/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4637 (1.8024) Prec@1 64.062 (59.121) Prec@5 89.062 (80.807) Epoch: [36][3640/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5544 (1.8022) Prec@1 63.281 (59.130) Prec@5 87.500 (80.808) Epoch: [36][3650/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8275 (1.8021) Prec@1 57.812 (59.127) Prec@5 80.469 (80.810) Epoch: [36][3660/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7973 (1.8019) Prec@1 57.812 (59.132) Prec@5 82.812 (80.816) Epoch: [36][3670/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.5276 (1.8019) Prec@1 64.062 (59.127) Prec@5 82.812 (80.817) Epoch: [36][3680/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0738 (1.8020) Prec@1 57.031 (59.123) Prec@5 76.562 (80.816) Epoch: [36][3690/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8051 (1.8021) Prec@1 58.594 (59.120) Prec@5 81.250 (80.813) Epoch: [36][3700/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6171 (1.8019) Prec@1 64.844 (59.126) Prec@5 84.375 (80.817) Epoch: [36][3710/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7198 (1.8019) Prec@1 55.469 (59.126) Prec@5 82.812 (80.815) Epoch: [36][3720/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6179 (1.8019) Prec@1 64.844 (59.131) Prec@5 83.594 (80.818) Epoch: [36][3730/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8371 (1.8019) Prec@1 59.375 (59.133) Prec@5 79.688 (80.818) Epoch: [36][3740/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 1.6783 (1.8020) Prec@1 61.719 (59.130) Prec@5 84.375 (80.814) Epoch: [36][3750/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0284 (1.8022) Prec@1 55.469 (59.123) Prec@5 75.781 (80.811) Epoch: [36][3760/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9211 (1.8021) Prec@1 55.469 (59.126) Prec@5 75.000 (80.811) Epoch: [36][3770/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7600 (1.8021) Prec@1 60.156 (59.127) Prec@5 83.594 (80.813) Epoch: [36][3780/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0031 (1.8024) Prec@1 55.469 (59.122) Prec@5 78.125 (80.811) Epoch: [36][3790/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.4951 (1.8024) Prec@1 63.281 (59.125) Prec@5 86.719 (80.811) Epoch: [36][3800/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9221 (1.8025) Prec@1 51.562 (59.118) Prec@5 78.906 (80.810) Epoch: [36][3810/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6614 (1.8024) Prec@1 58.594 (59.118) Prec@5 84.375 (80.813) Epoch: [36][3820/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9291 (1.8026) Prec@1 51.562 (59.112) Prec@5 82.031 (80.812) Epoch: [36][3830/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7926 (1.8028) Prec@1 60.938 (59.104) Prec@5 81.250 (80.808) Epoch: [36][3840/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9593 (1.8027) Prec@1 56.250 (59.111) Prec@5 74.219 (80.812) Epoch: [36][3850/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7016 (1.8025) Prec@1 61.719 (59.117) Prec@5 81.250 (80.814) Epoch: [36][3860/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8194 (1.8025) Prec@1 57.812 (59.115) Prec@5 81.250 (80.815) Epoch: [36][3870/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5989 (1.8023) Prec@1 63.281 (59.118) Prec@5 83.594 (80.818) Epoch: [36][3880/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6275 (1.8023) Prec@1 64.062 (59.118) Prec@5 83.594 (80.821) Epoch: [36][3890/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9398 (1.8020) Prec@1 64.062 (59.126) Prec@5 77.344 (80.827) Epoch: [36][3900/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.5754 (1.8019) Prec@1 57.812 (59.126) Prec@5 82.812 (80.826) Epoch: [36][3910/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6180 (1.8019) Prec@1 61.719 (59.123) Prec@5 84.375 (80.827) Epoch: [36][3920/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.5431 (1.8015) Prec@1 66.406 (59.131) Prec@5 85.156 (80.834) Epoch: [36][3930/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0195 (1.8015) Prec@1 51.562 (59.130) Prec@5 75.781 (80.831) Epoch: [36][3940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5708 (1.8013) Prec@1 60.938 (59.133) Prec@5 83.594 (80.829) Epoch: [36][3950/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8893 (1.8014) Prec@1 56.250 (59.129) Prec@5 78.125 (80.828) Epoch: [36][3960/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.5493 (1.8015) Prec@1 64.844 (59.127) Prec@5 82.812 (80.828) Epoch: [36][3970/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8455 (1.8017) Prec@1 61.719 (59.128) Prec@5 79.688 (80.827) Epoch: [36][3980/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.1668 (1.8022) Prec@1 49.219 (59.120) Prec@5 72.656 (80.819) Epoch: [36][3990/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0083 (1.8023) Prec@1 53.906 (59.120) Prec@5 82.812 (80.818) Epoch: [36][4000/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0156 (1.8023) Prec@1 58.594 (59.122) Prec@5 75.000 (80.817) /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][4010/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1959 (1.8025) Prec@1 54.688 (59.119) Prec@5 77.344 (80.812) Epoch: [36][4020/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9878 (1.8027) Prec@1 57.031 (59.119) Prec@5 79.688 (80.808) Epoch: [36][4030/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7965 (1.8028) Prec@1 57.031 (59.119) Prec@5 80.469 (80.807) Epoch: [36][4040/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8103 (1.8027) Prec@1 57.812 (59.121) Prec@5 81.250 (80.810) Epoch: [36][4050/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9081 (1.8028) Prec@1 61.719 (59.122) Prec@5 78.906 (80.808) Epoch: [36][4060/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6967 (1.8029) Prec@1 53.125 (59.120) Prec@5 81.250 (80.804) Epoch: [36][4070/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7566 (1.8028) Prec@1 62.500 (59.123) Prec@5 83.594 (80.806) Epoch: [36][4080/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.2233 (1.8028) Prec@1 53.906 (59.122) Prec@5 74.219 (80.806) Epoch: [36][4090/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.3532 (1.8029) Prec@1 69.531 (59.119) Prec@5 85.156 (80.804) Epoch: [36][4100/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7650 (1.8030) Prec@1 58.594 (59.120) Prec@5 78.906 (80.802) Epoch: [36][4110/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7067 (1.8029) Prec@1 56.250 (59.121) Prec@5 80.469 (80.804) Epoch: [36][4120/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8745 (1.8029) Prec@1 59.375 (59.121) Prec@5 79.688 (80.800) Epoch: [36][4130/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7785 (1.8031) Prec@1 59.375 (59.116) Prec@5 82.031 (80.798) Epoch: [36][4140/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7474 (1.8032) Prec@1 56.250 (59.110) Prec@5 85.938 (80.796) Epoch: [36][4150/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9042 (1.8031) Prec@1 64.062 (59.110) Prec@5 78.125 (80.799) Epoch: [36][4160/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9068 (1.8034) Prec@1 57.031 (59.105) Prec@5 78.906 (80.794) Epoch: [36][4170/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9792 (1.8034) Prec@1 51.562 (59.099) Prec@5 79.688 (80.797) Epoch: [36][4180/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9870 (1.8034) Prec@1 55.469 (59.103) Prec@5 78.906 (80.797) Epoch: [36][4190/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8827 (1.8032) Prec@1 58.594 (59.102) Prec@5 80.469 (80.799) Epoch: [36][4200/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9238 (1.8036) Prec@1 49.219 (59.095) Prec@5 85.156 (80.795) Epoch: [36][4210/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9357 (1.8037) Prec@1 60.156 (59.094) Prec@5 78.906 (80.795) Epoch: [36][4220/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.5617 (1.8036) Prec@1 60.938 (59.095) Prec@5 85.156 (80.797) Epoch: [36][4230/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9402 (1.8037) Prec@1 53.906 (59.095) Prec@5 73.438 (80.794) Epoch: [36][4240/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7320 (1.8039) Prec@1 58.594 (59.095) Prec@5 82.031 (80.791) Epoch: [36][4250/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8781 (1.8040) Prec@1 62.500 (59.091) Prec@5 81.250 (80.789) Epoch: [36][4260/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7024 (1.8040) Prec@1 62.500 (59.091) Prec@5 82.031 (80.789) Epoch: [36][4270/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9904 (1.8040) Prec@1 53.125 (59.089) Prec@5 75.781 (80.790) Epoch: [36][4280/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7268 (1.8040) Prec@1 58.594 (59.090) Prec@5 82.812 (80.790) Epoch: [36][4290/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7031 (1.8037) Prec@1 60.156 (59.097) Prec@5 82.812 (80.797) Epoch: [36][4300/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7142 (1.8036) Prec@1 59.375 (59.095) Prec@5 82.812 (80.797) Epoch: [36][4310/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9077 (1.8036) Prec@1 62.500 (59.100) Prec@5 78.906 (80.799) Epoch: [36][4320/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7190 (1.8036) Prec@1 63.281 (59.100) Prec@5 79.688 (80.802) Epoch: [36][4330/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8137 (1.8036) Prec@1 60.156 (59.102) Prec@5 82.031 (80.803) Epoch: [36][4340/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7099 (1.8037) Prec@1 64.844 (59.100) Prec@5 79.688 (80.802) Epoch: [36][4350/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6930 (1.8039) Prec@1 55.469 (59.092) Prec@5 84.375 (80.800) Epoch: [36][4360/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.5292 (1.8038) Prec@1 65.625 (59.097) Prec@5 83.594 (80.800) Epoch: [36][4370/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7047 (1.8038) Prec@1 57.812 (59.099) Prec@5 82.031 (80.801) Epoch: [36][4380/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7787 (1.8039) Prec@1 64.062 (59.097) Prec@5 80.469 (80.799) Epoch: [36][4390/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8377 (1.8041) Prec@1 55.469 (59.091) Prec@5 81.250 (80.797) Epoch: [36][4400/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9056 (1.8042) Prec@1 50.000 (59.087) Prec@5 78.906 (80.796) Epoch: [36][4410/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0135 (1.8045) Prec@1 57.812 (59.084) Prec@5 81.250 (80.791) Epoch: [36][4420/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0026 (1.8045) Prec@1 58.594 (59.084) Prec@5 78.125 (80.792) Epoch: [36][4430/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.1675 (1.8047) Prec@1 54.688 (59.082) Prec@5 79.688 (80.791) Epoch: [36][4440/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8928 (1.8047) Prec@1 56.250 (59.084) Prec@5 80.469 (80.791) Epoch: [36][4450/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8709 (1.8049) Prec@1 57.812 (59.082) Prec@5 82.031 (80.789) Epoch: [36][4460/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7845 (1.8049) Prec@1 60.938 (59.081) Prec@5 78.906 (80.790) Epoch: [36][4470/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7576 (1.8047) Prec@1 59.375 (59.084) Prec@5 81.250 (80.792) Epoch: [36][4480/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8089 (1.8048) Prec@1 60.938 (59.084) Prec@5 82.812 (80.791) Epoch: [36][4490/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6902 (1.8048) Prec@1 65.625 (59.084) Prec@5 82.031 (80.788) Epoch: [36][4500/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1176 (1.8051) Prec@1 53.906 (59.076) Prec@5 74.219 (80.782) Epoch: [36][4510/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6790 (1.8053) Prec@1 61.719 (59.072) Prec@5 82.812 (80.779) Epoch: [36][4520/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6802 (1.8052) Prec@1 58.594 (59.073) Prec@5 83.594 (80.784) Epoch: [36][4530/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7563 (1.8051) Prec@1 64.062 (59.073) Prec@5 83.594 (80.784) Epoch: [36][4540/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9171 (1.8053) Prec@1 54.688 (59.069) Prec@5 82.031 (80.783) Epoch: [36][4550/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.7806 (1.8051) Prec@1 55.469 (59.073) Prec@5 78.906 (80.785) Epoch: [36][4560/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.4985 (1.8051) Prec@1 61.719 (59.073) Prec@5 86.719 (80.784) Epoch: [36][4570/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6148 (1.8049) Prec@1 63.281 (59.075) Prec@5 83.594 (80.787) Epoch: [36][4580/10010] Time 0.310 (0.331) Data 0.001 (0.001) Loss 2.0611 (1.8049) Prec@1 57.031 (59.079) Prec@5 75.000 (80.786) Epoch: [36][4590/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6877 (1.8049) Prec@1 61.719 (59.080) Prec@5 82.031 (80.787) Epoch: [36][4600/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7583 (1.8049) Prec@1 54.688 (59.082) Prec@5 82.812 (80.786) Epoch: [36][4610/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8035 (1.8049) Prec@1 60.156 (59.084) Prec@5 82.031 (80.789) Epoch: [36][4620/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6701 (1.8048) Prec@1 62.500 (59.087) Prec@5 82.812 (80.791) Epoch: [36][4630/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7916 (1.8050) Prec@1 55.469 (59.082) Prec@5 84.375 (80.787) Epoch: [36][4640/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6669 (1.8049) Prec@1 63.281 (59.084) Prec@5 82.031 (80.790) Epoch: [36][4650/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0007 (1.8049) Prec@1 52.344 (59.086) Prec@5 82.031 (80.791) /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][4660/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9607 (1.8049) Prec@1 54.688 (59.085) Prec@5 74.219 (80.791) Epoch: [36][4670/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8368 (1.8049) Prec@1 60.938 (59.084) Prec@5 79.688 (80.791) Epoch: [36][4680/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6166 (1.8046) Prec@1 60.938 (59.091) Prec@5 84.375 (80.796) Epoch: [36][4690/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7360 (1.8046) Prec@1 62.500 (59.092) Prec@5 81.250 (80.795) Epoch: [36][4700/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5722 (1.8046) Prec@1 62.500 (59.091) Prec@5 85.156 (80.798) Epoch: [36][4710/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5241 (1.8044) Prec@1 64.062 (59.095) Prec@5 84.375 (80.801) Epoch: [36][4720/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6027 (1.8044) Prec@1 62.500 (59.094) Prec@5 83.594 (80.798) Epoch: [36][4730/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5073 (1.8043) Prec@1 67.188 (59.099) Prec@5 82.812 (80.799) Epoch: [36][4740/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8073 (1.8044) Prec@1 62.500 (59.096) Prec@5 81.250 (80.798) Epoch: [36][4750/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7232 (1.8043) Prec@1 59.375 (59.097) Prec@5 81.250 (80.797) Epoch: [36][4760/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.4568 (1.8044) Prec@1 67.188 (59.095) Prec@5 88.281 (80.800) Epoch: [36][4770/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0929 (1.8045) Prec@1 54.688 (59.094) Prec@5 78.906 (80.800) /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][4780/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6000 (1.8045) Prec@1 60.938 (59.093) Prec@5 84.375 (80.799) Epoch: [36][4790/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9515 (1.8045) Prec@1 54.688 (59.093) Prec@5 79.688 (80.801) Epoch: [36][4800/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1903 (1.8045) Prec@1 51.562 (59.093) Prec@5 72.656 (80.800) Epoch: [36][4810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.4971 (1.8043) Prec@1 65.625 (59.095) Prec@5 85.938 (80.801) Epoch: [36][4820/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9664 (1.8042) Prec@1 53.906 (59.097) Prec@5 75.000 (80.802) Epoch: [36][4830/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9752 (1.8044) Prec@1 59.375 (59.092) Prec@5 76.562 (80.799) Epoch: [36][4840/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6036 (1.8046) Prec@1 67.188 (59.090) Prec@5 84.375 (80.795) Epoch: [36][4850/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5478 (1.8047) Prec@1 69.531 (59.093) Prec@5 86.719 (80.793) Epoch: [36][4860/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7174 (1.8047) Prec@1 55.469 (59.092) Prec@5 84.375 (80.794) Epoch: [36][4870/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8035 (1.8046) Prec@1 60.938 (59.094) Prec@5 80.469 (80.793) Epoch: [36][4880/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6967 (1.8047) Prec@1 60.156 (59.094) Prec@5 85.156 (80.792) Epoch: [36][4890/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5635 (1.8048) Prec@1 64.844 (59.090) Prec@5 82.812 (80.791) Epoch: [36][4900/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0280 (1.8049) Prec@1 59.375 (59.090) Prec@5 78.125 (80.788) Epoch: [36][4910/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.5344 (1.8049) Prec@1 62.500 (59.091) Prec@5 84.375 (80.789) Epoch: [36][4920/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8478 (1.8048) Prec@1 51.562 (59.091) Prec@5 78.906 (80.789) Epoch: [36][4930/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7619 (1.8049) Prec@1 61.719 (59.090) Prec@5 82.031 (80.787) Epoch: [36][4940/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7130 (1.8048) Prec@1 63.281 (59.091) Prec@5 79.688 (80.787) Epoch: [36][4950/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6566 (1.8048) Prec@1 62.500 (59.090) Prec@5 86.719 (80.788) Epoch: [36][4960/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0152 (1.8047) Prec@1 54.688 (59.091) Prec@5 78.906 (80.790) Epoch: [36][4970/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9617 (1.8047) Prec@1 52.344 (59.090) Prec@5 78.906 (80.790) Epoch: [36][4980/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6236 (1.8047) Prec@1 57.812 (59.089) Prec@5 85.938 (80.791) Epoch: [36][4990/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8073 (1.8047) Prec@1 59.375 (59.089) Prec@5 82.031 (80.793) Epoch: [36][5000/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2265 (1.8049) Prec@1 53.906 (59.086) Prec@5 73.438 (80.792) Epoch: [36][5010/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0354 (1.8049) Prec@1 59.375 (59.088) Prec@5 78.125 (80.792) Epoch: [36][5020/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9369 (1.8050) Prec@1 55.469 (59.086) Prec@5 79.688 (80.790) Epoch: [36][5030/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2091 (1.8051) Prec@1 53.906 (59.084) Prec@5 75.781 (80.786) Epoch: [36][5040/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.4363 (1.8050) Prec@1 64.844 (59.085) Prec@5 85.156 (80.786) Epoch: [36][5050/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0658 (1.8051) Prec@1 55.469 (59.081) Prec@5 73.438 (80.786) Epoch: [36][5060/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.2148 (1.8052) Prec@1 52.344 (59.081) Prec@5 71.875 (80.784) Epoch: [36][5070/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5422 (1.8052) Prec@1 64.062 (59.083) Prec@5 80.469 (80.783) Epoch: [36][5080/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7157 (1.8054) Prec@1 60.156 (59.081) Prec@5 79.688 (80.781) Epoch: [36][5090/10010] Time 0.309 (0.331) Data 0.001 (0.001) Loss 1.5583 (1.8052) Prec@1 64.062 (59.087) Prec@5 85.156 (80.782) Epoch: [36][5100/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.4502 (1.8053) Prec@1 63.281 (59.083) Prec@5 85.938 (80.781) Epoch: [36][5110/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7614 (1.8051) Prec@1 60.938 (59.087) Prec@5 80.469 (80.783) Epoch: [36][5120/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.9955 (1.8052) Prec@1 57.031 (59.084) Prec@5 77.344 (80.781) Epoch: [36][5130/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6950 (1.8053) Prec@1 66.406 (59.080) Prec@5 83.594 (80.781) Epoch: [36][5140/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8332 (1.8051) Prec@1 64.062 (59.083) Prec@5 82.031 (80.781) Epoch: [36][5150/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8156 (1.8052) Prec@1 58.594 (59.083) Prec@5 79.688 (80.780) Epoch: [36][5160/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7998 (1.8051) Prec@1 61.719 (59.083) Prec@5 78.906 (80.779) Epoch: [36][5170/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7875 (1.8050) Prec@1 60.938 (59.081) Prec@5 80.469 (80.780) Epoch: [36][5180/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8478 (1.8049) Prec@1 64.844 (59.088) Prec@5 81.250 (80.782) Epoch: [36][5190/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8040 (1.8048) Prec@1 60.156 (59.093) Prec@5 83.594 (80.785) Epoch: [36][5200/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9410 (1.8047) Prec@1 54.688 (59.095) Prec@5 75.781 (80.785) Epoch: [36][5210/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0068 (1.8047) Prec@1 57.031 (59.095) Prec@5 75.000 (80.784) Epoch: [36][5220/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8104 (1.8048) Prec@1 57.031 (59.094) Prec@5 82.812 (80.782) Epoch: [36][5230/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9236 (1.8049) Prec@1 55.469 (59.092) Prec@5 80.469 (80.781) Epoch: [36][5240/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.7989 (1.8048) Prec@1 60.156 (59.091) Prec@5 80.469 (80.782) Epoch: [36][5250/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8209 (1.8049) Prec@1 55.469 (59.089) Prec@5 85.156 (80.783) Epoch: [36][5260/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7251 (1.8050) Prec@1 60.156 (59.086) Prec@5 80.469 (80.779) Epoch: [36][5270/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8246 (1.8049) Prec@1 60.938 (59.087) Prec@5 82.812 (80.781) Epoch: [36][5280/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.4324 (1.8049) Prec@1 66.406 (59.086) Prec@5 81.250 (80.781) Epoch: [36][5290/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6125 (1.8049) Prec@1 64.062 (59.086) Prec@5 83.594 (80.779) Epoch: [36][5300/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9974 (1.8048) Prec@1 55.469 (59.089) Prec@5 81.250 (80.780) Epoch: [36][5310/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8176 (1.8049) Prec@1 55.469 (59.087) Prec@5 80.469 (80.779) Epoch: [36][5320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0268 (1.8050) Prec@1 54.688 (59.086) Prec@5 79.688 (80.777) Epoch: [36][5330/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.3448 (1.8051) Prec@1 67.188 (59.083) Prec@5 89.062 (80.776) Epoch: [36][5340/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.4310 (1.8052) Prec@1 65.625 (59.079) Prec@5 85.156 (80.776) Epoch: [36][5350/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7804 (1.8053) Prec@1 55.469 (59.079) Prec@5 78.125 (80.774) Epoch: [36][5360/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.4574 (1.8051) Prec@1 64.844 (59.081) Prec@5 86.719 (80.775) Epoch: [36][5370/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.5696 (1.8052) Prec@1 62.500 (59.079) Prec@5 84.375 (80.775) Epoch: [36][5380/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.5750 (1.8053) Prec@1 60.938 (59.078) Prec@5 86.719 (80.773) Epoch: [36][5390/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8215 (1.8053) Prec@1 60.938 (59.076) Prec@5 81.250 (80.774) Epoch: [36][5400/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7429 (1.8053) Prec@1 58.594 (59.076) Prec@5 81.250 (80.773) Epoch: [36][5410/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0980 (1.8054) Prec@1 56.250 (59.074) Prec@5 75.000 (80.772) Epoch: [36][5420/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7380 (1.8054) Prec@1 60.938 (59.074) Prec@5 82.031 (80.774) Epoch: [36][5430/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6444 (1.8053) Prec@1 61.719 (59.076) Prec@5 82.812 (80.776) Epoch: [36][5440/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7144 (1.8054) Prec@1 61.719 (59.075) Prec@5 80.469 (80.774) Epoch: [36][5450/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8368 (1.8055) Prec@1 52.344 (59.071) Prec@5 80.469 (80.771) Epoch: [36][5460/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6040 (1.8055) Prec@1 60.156 (59.075) Prec@5 85.156 (80.771) Epoch: [36][5470/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7667 (1.8054) Prec@1 59.375 (59.074) Prec@5 78.125 (80.772) Epoch: [36][5480/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5688 (1.8053) Prec@1 67.188 (59.075) Prec@5 82.812 (80.773) Epoch: [36][5490/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.1998 (1.8054) Prec@1 50.781 (59.074) Prec@5 74.219 (80.770) Epoch: [36][5500/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.3497 (1.8054) Prec@1 69.531 (59.073) Prec@5 86.719 (80.770) Epoch: [36][5510/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8999 (1.8055) Prec@1 56.250 (59.071) Prec@5 77.344 (80.768) Epoch: [36][5520/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7219 (1.8054) Prec@1 63.281 (59.074) Prec@5 82.812 (80.769) Epoch: [36][5530/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9715 (1.8054) Prec@1 58.594 (59.074) Prec@5 76.562 (80.769) Epoch: [36][5540/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7023 (1.8054) Prec@1 59.375 (59.072) Prec@5 81.250 (80.767) Epoch: [36][5550/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1334 (1.8057) Prec@1 49.219 (59.066) Prec@5 74.219 (80.766) Epoch: [36][5560/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8290 (1.8057) Prec@1 60.938 (59.066) Prec@5 79.688 (80.765) Epoch: [36][5570/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1903 (1.8057) Prec@1 49.219 (59.065) Prec@5 71.875 (80.764) Epoch: [36][5580/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5362 (1.8056) Prec@1 66.406 (59.066) Prec@5 83.594 (80.766) Epoch: [36][5590/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7733 (1.8057) Prec@1 59.375 (59.066) Prec@5 80.469 (80.764) Epoch: [36][5600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.2197 (1.8056) Prec@1 50.781 (59.066) Prec@5 71.875 (80.764) Epoch: [36][5610/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6274 (1.8056) Prec@1 62.500 (59.065) Prec@5 82.031 (80.763) Epoch: [36][5620/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6170 (1.8057) Prec@1 70.312 (59.065) Prec@5 82.031 (80.764) Epoch: [36][5630/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8991 (1.8057) Prec@1 48.438 (59.063) Prec@5 79.688 (80.763) Epoch: [36][5640/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7425 (1.8057) Prec@1 57.031 (59.063) Prec@5 82.812 (80.763) Epoch: [36][5650/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8395 (1.8058) Prec@1 55.469 (59.058) Prec@5 82.031 (80.761) Epoch: [36][5660/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6453 (1.8058) Prec@1 64.844 (59.060) Prec@5 85.938 (80.760) Epoch: [36][5670/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6095 (1.8056) Prec@1 60.156 (59.062) Prec@5 83.594 (80.765) Epoch: [36][5680/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6838 (1.8058) Prec@1 62.500 (59.059) Prec@5 85.938 (80.762) Epoch: [36][5690/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8096 (1.8060) Prec@1 57.031 (59.055) Prec@5 79.688 (80.758) Epoch: [36][5700/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0097 (1.8061) Prec@1 58.594 (59.054) Prec@5 76.562 (80.757) Epoch: [36][5710/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6905 (1.8062) Prec@1 57.031 (59.051) Prec@5 80.469 (80.756) Epoch: [36][5720/10010] Time 0.330 (0.331) Data 0.004 (0.001) Loss 2.0720 (1.8063) Prec@1 53.125 (59.048) Prec@5 76.562 (80.754) Epoch: [36][5730/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7537 (1.8063) Prec@1 58.594 (59.048) Prec@5 80.469 (80.754) Epoch: [36][5740/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6380 (1.8063) Prec@1 62.500 (59.048) Prec@5 82.812 (80.754) Epoch: [36][5750/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8286 (1.8062) Prec@1 53.906 (59.047) Prec@5 79.688 (80.754) Epoch: [36][5760/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6214 (1.8062) Prec@1 65.625 (59.046) Prec@5 85.156 (80.756) Epoch: [36][5770/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.2216 (1.8063) Prec@1 50.000 (59.045) Prec@5 75.000 (80.757) Epoch: [36][5780/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0587 (1.8065) Prec@1 55.469 (59.043) Prec@5 74.219 (80.753) Epoch: [36][5790/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7148 (1.8064) Prec@1 59.375 (59.046) Prec@5 82.812 (80.753) Epoch: [36][5800/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1408 (1.8064) Prec@1 53.906 (59.046) Prec@5 74.219 (80.752) Epoch: [36][5810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6933 (1.8063) Prec@1 61.719 (59.048) Prec@5 82.812 (80.754) Epoch: [36][5820/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7795 (1.8062) Prec@1 60.938 (59.051) Prec@5 76.562 (80.754) Epoch: [36][5830/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6440 (1.8062) Prec@1 64.062 (59.052) Prec@5 83.594 (80.756) Epoch: [36][5840/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.1420 (1.8062) Prec@1 50.781 (59.054) Prec@5 74.219 (80.755) Epoch: [36][5850/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6457 (1.8061) Prec@1 61.719 (59.054) Prec@5 84.375 (80.757) Epoch: [36][5860/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0760 (1.8061) Prec@1 51.562 (59.057) Prec@5 74.219 (80.759) Epoch: [36][5870/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6477 (1.8061) Prec@1 63.281 (59.057) Prec@5 82.031 (80.758) Epoch: [36][5880/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7610 (1.8061) Prec@1 62.500 (59.058) Prec@5 82.031 (80.759) Epoch: [36][5890/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6470 (1.8062) Prec@1 64.844 (59.054) Prec@5 85.156 (80.761) Epoch: [36][5900/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8223 (1.8062) Prec@1 58.594 (59.052) Prec@5 78.906 (80.760) Epoch: [36][5910/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8059 (1.8062) Prec@1 60.938 (59.054) Prec@5 79.688 (80.760) Epoch: [36][5920/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0404 (1.8063) Prec@1 53.906 (59.053) Prec@5 78.125 (80.758) Epoch: [36][5930/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0472 (1.8063) Prec@1 49.219 (59.054) Prec@5 77.344 (80.758) Epoch: [36][5940/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8145 (1.8062) Prec@1 61.719 (59.055) Prec@5 79.688 (80.759) Epoch: [36][5950/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7198 (1.8064) Prec@1 59.375 (59.055) Prec@5 82.031 (80.756) Epoch: [36][5960/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0768 (1.8063) Prec@1 51.562 (59.058) Prec@5 78.125 (80.756) Epoch: [36][5970/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6670 (1.8063) Prec@1 60.156 (59.059) Prec@5 85.156 (80.756) Epoch: [36][5980/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0806 (1.8063) Prec@1 53.906 (59.059) Prec@5 75.781 (80.753) Epoch: [36][5990/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6859 (1.8063) Prec@1 60.938 (59.057) Prec@5 83.594 (80.752) Epoch: [36][6000/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.4139 (1.8063) Prec@1 65.625 (59.057) Prec@5 85.938 (80.753) Epoch: [36][6010/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5974 (1.8063) Prec@1 63.281 (59.055) Prec@5 82.812 (80.753) Epoch: [36][6020/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6436 (1.8063) Prec@1 63.281 (59.056) Prec@5 82.812 (80.755) Epoch: [36][6030/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.2793 (1.8062) Prec@1 45.312 (59.055) Prec@5 68.750 (80.754) Epoch: [36][6040/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7542 (1.8063) Prec@1 56.250 (59.057) Prec@5 82.812 (80.753) Epoch: [36][6050/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9087 (1.8062) Prec@1 55.469 (59.058) Prec@5 81.250 (80.756) Epoch: [36][6060/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4716 (1.8063) Prec@1 66.406 (59.056) Prec@5 85.156 (80.754) Epoch: [36][6070/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7783 (1.8064) Prec@1 61.719 (59.054) Prec@5 80.469 (80.752) Epoch: [36][6080/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.9880 (1.8063) Prec@1 51.562 (59.055) Prec@5 79.688 (80.754) Epoch: [36][6090/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9676 (1.8063) Prec@1 55.469 (59.054) Prec@5 75.781 (80.753) Epoch: [36][6100/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7590 (1.8064) Prec@1 57.812 (59.052) Prec@5 82.812 (80.751) Epoch: [36][6110/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8233 (1.8064) Prec@1 53.125 (59.049) Prec@5 79.688 (80.752) Epoch: [36][6120/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8664 (1.8066) Prec@1 60.156 (59.045) Prec@5 81.250 (80.749) Epoch: [36][6130/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8158 (1.8065) Prec@1 55.469 (59.048) Prec@5 77.344 (80.749) Epoch: [36][6140/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8261 (1.8065) Prec@1 56.250 (59.049) Prec@5 80.469 (80.750) Epoch: [36][6150/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8232 (1.8065) Prec@1 58.594 (59.049) Prec@5 83.594 (80.750) Epoch: [36][6160/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0449 (1.8067) Prec@1 57.812 (59.045) Prec@5 77.344 (80.746) Epoch: [36][6170/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9195 (1.8068) Prec@1 53.906 (59.043) Prec@5 78.125 (80.745) Epoch: [36][6180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6696 (1.8068) Prec@1 60.938 (59.042) Prec@5 78.125 (80.741) Epoch: [36][6190/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6361 (1.8069) Prec@1 65.625 (59.040) Prec@5 81.250 (80.739) Epoch: [36][6200/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7141 (1.8068) Prec@1 65.625 (59.045) Prec@5 83.594 (80.741) Epoch: [36][6210/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8705 (1.8068) Prec@1 56.250 (59.044) Prec@5 81.250 (80.742) Epoch: [36][6220/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8581 (1.8071) Prec@1 60.938 (59.039) Prec@5 78.125 (80.738) Epoch: [36][6230/10010] Time 0.310 (0.331) Data 0.000 (0.001) Loss 2.0924 (1.8072) Prec@1 57.812 (59.037) Prec@5 79.688 (80.737) Epoch: [36][6240/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.0752 (1.8073) Prec@1 56.250 (59.034) Prec@5 74.219 (80.734) Epoch: [36][6250/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8619 (1.8074) Prec@1 57.031 (59.033) Prec@5 71.875 (80.734) Epoch: [36][6260/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5872 (1.8074) Prec@1 64.062 (59.030) Prec@5 83.594 (80.735) Epoch: [36][6270/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8100 (1.8074) Prec@1 59.375 (59.031) Prec@5 80.469 (80.735) Epoch: [36][6280/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9649 (1.8074) Prec@1 59.375 (59.032) Prec@5 82.031 (80.734) Epoch: [36][6290/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9943 (1.8074) Prec@1 54.688 (59.030) Prec@5 78.125 (80.734) Epoch: [36][6300/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6869 (1.8072) Prec@1 62.500 (59.033) Prec@5 82.812 (80.738) Epoch: [36][6310/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5332 (1.8073) Prec@1 66.406 (59.031) Prec@5 83.594 (80.737) Epoch: [36][6320/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.4486 (1.8074) Prec@1 62.500 (59.027) Prec@5 86.719 (80.736) Epoch: [36][6330/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8430 (1.8074) Prec@1 57.031 (59.029) Prec@5 82.031 (80.735) Epoch: [36][6340/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7060 (1.8074) Prec@1 63.281 (59.029) Prec@5 80.469 (80.735) Epoch: [36][6350/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6909 (1.8073) Prec@1 60.156 (59.031) Prec@5 82.812 (80.735) Epoch: [36][6360/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8093 (1.8072) Prec@1 61.719 (59.031) Prec@5 80.469 (80.738) Epoch: [36][6370/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7113 (1.8073) Prec@1 62.500 (59.031) Prec@5 81.250 (80.735) Epoch: [36][6380/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0748 (1.8073) Prec@1 56.250 (59.031) Prec@5 76.562 (80.736) Epoch: [36][6390/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7719 (1.8073) Prec@1 57.812 (59.032) Prec@5 82.031 (80.735) Epoch: [36][6400/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8799 (1.8075) Prec@1 57.812 (59.030) Prec@5 82.031 (80.734) Epoch: [36][6410/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9390 (1.8076) Prec@1 57.812 (59.028) Prec@5 82.031 (80.733) Epoch: [36][6420/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6396 (1.8075) Prec@1 64.844 (59.032) Prec@5 82.812 (80.734) Epoch: [36][6430/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9544 (1.8076) Prec@1 54.688 (59.029) Prec@5 77.344 (80.733) Epoch: [36][6440/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9900 (1.8076) Prec@1 57.031 (59.029) Prec@5 76.562 (80.733) Epoch: [36][6450/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6240 (1.8077) Prec@1 61.719 (59.025) Prec@5 85.156 (80.730) Epoch: [36][6460/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7316 (1.8078) Prec@1 61.719 (59.024) Prec@5 84.375 (80.728) Epoch: [36][6470/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8814 (1.8079) Prec@1 57.812 (59.021) Prec@5 81.250 (80.729) Epoch: [36][6480/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6382 (1.8079) Prec@1 62.500 (59.019) Prec@5 81.250 (80.728) Epoch: [36][6490/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9892 (1.8079) Prec@1 52.344 (59.020) Prec@5 75.781 (80.728) Epoch: [36][6500/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.2238 (1.8080) Prec@1 52.344 (59.018) Prec@5 76.562 (80.725) Epoch: [36][6510/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5598 (1.8079) Prec@1 65.625 (59.020) Prec@5 84.375 (80.726) Epoch: [36][6520/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8350 (1.8078) Prec@1 54.688 (59.021) Prec@5 79.688 (80.726) Epoch: [36][6530/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7052 (1.8079) Prec@1 61.719 (59.020) Prec@5 85.156 (80.725) Epoch: [36][6540/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6970 (1.8079) Prec@1 62.500 (59.021) Prec@5 81.250 (80.725) Epoch: [36][6550/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8448 (1.8078) Prec@1 61.719 (59.024) Prec@5 78.906 (80.727) Epoch: [36][6560/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7089 (1.8079) Prec@1 60.938 (59.024) Prec@5 81.250 (80.726) Epoch: [36][6570/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6789 (1.8078) Prec@1 64.062 (59.026) Prec@5 83.594 (80.727) Epoch: [36][6580/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.6609 (1.8076) Prec@1 62.500 (59.027) Prec@5 83.594 (80.729) Epoch: [36][6590/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9782 (1.8077) Prec@1 53.906 (59.028) Prec@5 78.906 (80.729) Epoch: [36][6600/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7178 (1.8077) Prec@1 61.719 (59.026) Prec@5 83.594 (80.728) Epoch: [36][6610/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7840 (1.8078) Prec@1 57.031 (59.022) Prec@5 82.031 (80.727) Epoch: [36][6620/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1430 (1.8079) Prec@1 50.000 (59.021) Prec@5 75.781 (80.726) Epoch: [36][6630/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.1678 (1.8081) Prec@1 53.125 (59.019) Prec@5 69.531 (80.722) Epoch: [36][6640/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6555 (1.8080) Prec@1 57.812 (59.017) Prec@5 82.812 (80.724) Epoch: [36][6650/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8684 (1.8082) Prec@1 60.156 (59.013) Prec@5 79.688 (80.723) Epoch: [36][6660/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.5824 (1.8084) Prec@1 58.594 (59.005) Prec@5 83.594 (80.719) Epoch: [36][6670/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8368 (1.8084) Prec@1 62.500 (59.005) Prec@5 76.562 (80.718) Epoch: [36][6680/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8403 (1.8084) Prec@1 58.594 (59.006) Prec@5 83.594 (80.719) Epoch: [36][6690/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9303 (1.8083) Prec@1 55.469 (59.005) Prec@5 80.469 (80.719) Epoch: [36][6700/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9153 (1.8083) Prec@1 53.125 (59.005) Prec@5 80.469 (80.720) Epoch: [36][6710/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6277 (1.8084) Prec@1 68.750 (59.004) Prec@5 84.375 (80.719) Epoch: [36][6720/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.2304 (1.8084) Prec@1 53.906 (59.005) Prec@5 75.000 (80.718) Epoch: [36][6730/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7905 (1.8085) Prec@1 59.375 (59.003) Prec@5 79.688 (80.715) Epoch: [36][6740/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9098 (1.8085) Prec@1 57.031 (59.001) Prec@5 77.344 (80.715) Epoch: [36][6750/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.8523 (1.8084) Prec@1 57.812 (59.002) Prec@5 76.562 (80.716) Epoch: [36][6760/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6273 (1.8084) Prec@1 64.062 (59.005) Prec@5 82.812 (80.716) Epoch: [36][6770/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7525 (1.8084) Prec@1 57.031 (59.002) Prec@5 79.688 (80.716) Epoch: [36][6780/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5588 (1.8085) Prec@1 64.844 (58.999) Prec@5 86.719 (80.716) Epoch: [36][6790/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6933 (1.8085) Prec@1 58.594 (58.999) Prec@5 82.031 (80.715) Epoch: [36][6800/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0110 (1.8086) Prec@1 56.250 (58.998) Prec@5 76.562 (80.713) Epoch: [36][6810/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7944 (1.8086) Prec@1 57.812 (58.998) Prec@5 82.031 (80.712) Epoch: [36][6820/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9392 (1.8086) Prec@1 55.469 (58.995) Prec@5 80.469 (80.712) Epoch: [36][6830/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7721 (1.8087) Prec@1 57.031 (58.994) Prec@5 78.125 (80.711) Epoch: [36][6840/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8518 (1.8087) Prec@1 54.688 (58.992) Prec@5 82.031 (80.709) Epoch: [36][6850/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7941 (1.8086) Prec@1 57.031 (58.995) Prec@5 81.250 (80.712) Epoch: [36][6860/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.5411 (1.8089) Prec@1 47.656 (58.992) Prec@5 65.625 (80.707) Epoch: [36][6870/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9276 (1.8090) Prec@1 53.125 (58.990) Prec@5 79.688 (80.706) Epoch: [36][6880/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9251 (1.8090) Prec@1 63.281 (58.992) Prec@5 78.125 (80.705) Epoch: [36][6890/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5568 (1.8090) Prec@1 60.938 (58.994) Prec@5 84.375 (80.704) Epoch: [36][6900/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.5750 (1.8089) Prec@1 64.062 (58.994) Prec@5 82.812 (80.706) Epoch: [36][6910/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.5655 (1.8088) Prec@1 60.938 (58.992) Prec@5 84.375 (80.709) Epoch: [36][6920/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7610 (1.8087) Prec@1 67.969 (58.994) Prec@5 82.031 (80.710) Epoch: [36][6930/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.5496 (1.8086) Prec@1 62.500 (58.995) Prec@5 85.938 (80.712) Epoch: [36][6940/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8952 (1.8088) Prec@1 57.031 (58.992) Prec@5 78.906 (80.710) Epoch: [36][6950/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8545 (1.8088) Prec@1 59.375 (58.990) Prec@5 81.250 (80.708) Epoch: [36][6960/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0350 (1.8090) Prec@1 60.938 (58.988) Prec@5 73.438 (80.706) Epoch: [36][6970/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7199 (1.8091) Prec@1 61.719 (58.985) Prec@5 81.250 (80.704) Epoch: [36][6980/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5632 (1.8092) Prec@1 55.469 (58.982) Prec@5 85.156 (80.703) Epoch: [36][6990/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0263 (1.8091) Prec@1 53.125 (58.981) Prec@5 74.219 (80.704) Epoch: [36][7000/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1169 (1.8091) Prec@1 53.125 (58.982) Prec@5 78.125 (80.705) Epoch: [36][7010/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8694 (1.8091) Prec@1 62.500 (58.984) Prec@5 83.594 (80.706) Epoch: [36][7020/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9450 (1.8091) Prec@1 57.031 (58.982) Prec@5 77.344 (80.705) Epoch: [36][7030/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.5141 (1.8093) Prec@1 46.875 (58.981) Prec@5 73.438 (80.702) Epoch: [36][7040/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7771 (1.8092) Prec@1 59.375 (58.983) Prec@5 80.469 (80.703) Epoch: [36][7050/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.7487 (1.8093) Prec@1 62.500 (58.982) Prec@5 79.688 (80.702) Epoch: [36][7060/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6873 (1.8093) Prec@1 62.500 (58.983) Prec@5 82.812 (80.703) Epoch: [36][7070/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6187 (1.8092) Prec@1 64.062 (58.986) Prec@5 85.156 (80.706) Epoch: [36][7080/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8536 (1.8092) Prec@1 57.031 (58.986) Prec@5 78.906 (80.705) Epoch: [36][7090/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5875 (1.8091) Prec@1 63.281 (58.988) Prec@5 82.031 (80.707) Epoch: [36][7100/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6928 (1.8090) Prec@1 59.375 (58.987) Prec@5 83.594 (80.709) Epoch: [36][7110/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9761 (1.8091) Prec@1 58.594 (58.986) Prec@5 76.562 (80.708) Epoch: [36][7120/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6677 (1.8091) Prec@1 61.719 (58.985) Prec@5 82.812 (80.707) Epoch: [36][7130/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8201 (1.8090) Prec@1 58.594 (58.984) Prec@5 82.812 (80.708) Epoch: [36][7140/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9958 (1.8089) Prec@1 58.594 (58.985) Prec@5 75.000 (80.709) Epoch: [36][7150/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.1025 (1.8090) Prec@1 57.812 (58.982) Prec@5 74.219 (80.707) Epoch: [36][7160/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8553 (1.8090) Prec@1 58.594 (58.983) Prec@5 81.250 (80.707) Epoch: [36][7170/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7573 (1.8092) Prec@1 59.375 (58.981) Prec@5 82.031 (80.705) Epoch: [36][7180/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8855 (1.8091) Prec@1 64.062 (58.983) Prec@5 82.812 (80.706) Epoch: [36][7190/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6491 (1.8090) Prec@1 59.375 (58.984) Prec@5 82.031 (80.707) Epoch: [36][7200/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6789 (1.8092) Prec@1 64.844 (58.982) Prec@5 82.031 (80.706) Epoch: [36][7210/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7393 (1.8092) Prec@1 62.500 (58.982) Prec@5 81.250 (80.706) Epoch: [36][7220/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7277 (1.8093) Prec@1 64.844 (58.980) Prec@5 81.250 (80.703) Epoch: [36][7230/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6584 (1.8092) Prec@1 63.281 (58.980) Prec@5 83.594 (80.704) Epoch: [36][7240/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.2399 (1.8094) Prec@1 49.219 (58.977) Prec@5 76.562 (80.702) Epoch: [36][7250/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.2500 (1.8094) Prec@1 53.906 (58.976) Prec@5 74.219 (80.701) Epoch: [36][7260/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.3916 (1.8093) Prec@1 68.750 (58.979) Prec@5 88.281 (80.703) Epoch: [36][7270/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8593 (1.8094) Prec@1 58.594 (58.973) Prec@5 78.906 (80.701) Epoch: [36][7280/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7831 (1.8095) Prec@1 57.031 (58.970) Prec@5 82.031 (80.700) Epoch: [36][7290/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9062 (1.8094) Prec@1 57.812 (58.973) Prec@5 82.812 (80.701) Epoch: [36][7300/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9057 (1.8095) Prec@1 57.812 (58.970) Prec@5 77.344 (80.699) Epoch: [36][7310/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.5921 (1.8096) Prec@1 60.156 (58.970) Prec@5 83.594 (80.700) Epoch: [36][7320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0428 (1.8096) Prec@1 49.219 (58.967) Prec@5 77.344 (80.701) Epoch: [36][7330/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.3812 (1.8097) Prec@1 49.219 (58.964) Prec@5 72.656 (80.699) Epoch: [36][7340/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.0668 (1.8098) Prec@1 56.250 (58.961) Prec@5 76.562 (80.697) Epoch: [36][7350/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.4948 (1.8097) Prec@1 65.625 (58.965) Prec@5 89.062 (80.699) Epoch: [36][7360/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8072 (1.8097) Prec@1 60.938 (58.966) Prec@5 80.469 (80.698) Epoch: [36][7370/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7683 (1.8098) Prec@1 60.938 (58.966) Prec@5 79.688 (80.696) Epoch: [36][7380/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.5600 (1.8098) Prec@1 61.719 (58.968) Prec@5 86.719 (80.697) Epoch: [36][7390/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8462 (1.8098) Prec@1 62.500 (58.968) Prec@5 82.031 (80.696) Epoch: [36][7400/10010] Time 0.353 (0.330) Data 0.001 (0.001) Loss 1.5906 (1.8098) Prec@1 66.406 (58.969) Prec@5 82.031 (80.697) Epoch: [36][7410/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.6355 (1.8097) Prec@1 60.156 (58.972) Prec@5 82.031 (80.698) Epoch: [36][7420/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8123 (1.8097) Prec@1 53.906 (58.969) Prec@5 81.250 (80.699) Epoch: [36][7430/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.7870 (1.8097) Prec@1 58.594 (58.968) Prec@5 79.688 (80.698) Epoch: [36][7440/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8168 (1.8098) Prec@1 58.594 (58.967) Prec@5 81.250 (80.698) Epoch: [36][7450/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7118 (1.8097) Prec@1 62.500 (58.967) Prec@5 84.375 (80.699) Epoch: [36][7460/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.8082 (1.8096) Prec@1 53.906 (58.970) Prec@5 85.156 (80.703) Epoch: [36][7470/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7043 (1.8096) Prec@1 64.062 (58.968) Prec@5 82.031 (80.703) Epoch: [36][7480/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.7151 (1.8096) Prec@1 60.938 (58.969) Prec@5 82.031 (80.703) Epoch: [36][7490/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.4754 (1.8096) Prec@1 65.625 (58.968) Prec@5 87.500 (80.702) Epoch: [36][7500/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.6671 (1.8095) Prec@1 61.719 (58.970) Prec@5 78.906 (80.702) Epoch: [36][7510/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.5385 (1.8095) Prec@1 67.969 (58.969) Prec@5 83.594 (80.702) Epoch: [36][7520/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8958 (1.8094) Prec@1 57.812 (58.969) Prec@5 75.781 (80.702) Epoch: [36][7530/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5091 (1.8094) Prec@1 63.281 (58.968) Prec@5 82.812 (80.701) Epoch: [36][7540/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 1.9270 (1.8094) Prec@1 56.250 (58.965) Prec@5 77.344 (80.702) Epoch: [36][7550/10010] Time 0.314 (0.330) Data 0.001 (0.001) Loss 1.9396 (1.8095) Prec@1 47.656 (58.961) Prec@5 82.812 (80.702) Epoch: [36][7560/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.8833 (1.8098) Prec@1 57.812 (58.956) Prec@5 79.688 (80.699) Epoch: [36][7570/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8316 (1.8097) Prec@1 57.031 (58.956) Prec@5 78.906 (80.699) Epoch: [36][7580/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1810 (1.8097) Prec@1 54.688 (58.953) Prec@5 76.562 (80.701) Epoch: [36][7590/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7523 (1.8098) Prec@1 59.375 (58.950) Prec@5 82.812 (80.699) Epoch: [36][7600/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8731 (1.8097) Prec@1 60.938 (58.953) Prec@5 76.562 (80.699) Epoch: [36][7610/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.8116 (1.8096) Prec@1 56.250 (58.953) Prec@5 79.688 (80.701) Epoch: [36][7620/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.6628 (1.8096) Prec@1 58.594 (58.952) Prec@5 83.594 (80.701) Epoch: [36][7630/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.7440 (1.8097) Prec@1 60.156 (58.949) Prec@5 84.375 (80.700) Epoch: [36][7640/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.7413 (1.8097) Prec@1 54.688 (58.949) Prec@5 82.812 (80.700) Epoch: [36][7650/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7578 (1.8098) Prec@1 60.938 (58.945) Prec@5 81.250 (80.699) Epoch: [36][7660/10010] Time 0.314 (0.330) Data 0.000 (0.001) Loss 1.8080 (1.8098) Prec@1 55.469 (58.944) Prec@5 82.812 (80.698) Epoch: [36][7670/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.1312 (1.8099) Prec@1 52.344 (58.943) Prec@5 75.781 (80.699) Epoch: [36][7680/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.2213 (1.8100) Prec@1 50.000 (58.943) Prec@5 75.000 (80.697) Epoch: [36][7690/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.0556 (1.8100) Prec@1 53.906 (58.944) Prec@5 78.906 (80.698) Epoch: [36][7700/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5635 (1.8100) Prec@1 64.062 (58.945) Prec@5 82.031 (80.695) Epoch: [36][7710/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.5858 (1.8100) Prec@1 60.938 (58.944) Prec@5 84.375 (80.697) Epoch: [36][7720/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.9394 (1.8100) Prec@1 56.250 (58.942) Prec@5 76.562 (80.696) Epoch: [36][7730/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.0318 (1.8100) Prec@1 56.250 (58.941) Prec@5 73.438 (80.695) Epoch: [36][7740/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.5404 (1.8100) Prec@1 64.844 (58.940) Prec@5 85.938 (80.694) Epoch: [36][7750/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 2.0898 (1.8100) Prec@1 47.656 (58.940) Prec@5 79.688 (80.695) Epoch: [36][7760/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.6475 (1.8101) Prec@1 57.812 (58.936) Prec@5 83.594 (80.693) Epoch: [36][7770/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.4936 (1.8102) Prec@1 61.719 (58.934) Prec@5 87.500 (80.692) Epoch: [36][7780/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8073 (1.8101) Prec@1 57.031 (58.934) Prec@5 82.812 (80.694) Epoch: [36][7790/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.7901 (1.8103) Prec@1 57.031 (58.933) Prec@5 80.469 (80.691) Epoch: [36][7800/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.5519 (1.8101) Prec@1 65.625 (58.936) Prec@5 83.594 (80.694) Epoch: [36][7810/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7801 (1.8101) Prec@1 60.938 (58.938) Prec@5 80.469 (80.693) Epoch: [36][7820/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.8376 (1.8101) Prec@1 57.812 (58.938) Prec@5 80.469 (80.691) Epoch: [36][7830/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6201 (1.8101) Prec@1 64.062 (58.940) Prec@5 85.156 (80.692) Epoch: [36][7840/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.7528 (1.8102) Prec@1 57.031 (58.938) Prec@5 82.031 (80.690) Epoch: [36][7850/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.7622 (1.8102) Prec@1 63.281 (58.939) Prec@5 82.812 (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][7860/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.1891 (1.8104) Prec@1 46.875 (58.936) Prec@5 76.562 (80.687) Epoch: [36][7870/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.8166 (1.8104) Prec@1 57.812 (58.938) Prec@5 79.688 (80.686) Epoch: [36][7880/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.9346 (1.8103) Prec@1 56.250 (58.939) Prec@5 76.562 (80.687) Epoch: [36][7890/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9042 (1.8103) Prec@1 55.469 (58.937) Prec@5 78.906 (80.687) Epoch: [36][7900/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.5509 (1.8103) Prec@1 60.938 (58.938) Prec@5 82.812 (80.687) Epoch: [36][7910/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.5546 (1.8103) Prec@1 57.812 (58.935) Prec@5 85.938 (80.687) Epoch: [36][7920/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.4736 (1.8104) Prec@1 64.844 (58.934) Prec@5 85.156 (80.685) Epoch: [36][7930/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.8205 (1.8103) Prec@1 60.938 (58.935) Prec@5 79.688 (80.686) Epoch: [36][7940/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7742 (1.8104) Prec@1 57.812 (58.934) Prec@5 81.250 (80.685) Epoch: [36][7950/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6022 (1.8104) Prec@1 64.062 (58.934) Prec@5 82.031 (80.685) Epoch: [36][7960/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9723 (1.8106) Prec@1 56.250 (58.932) Prec@5 77.344 (80.683) Epoch: [36][7970/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9822 (1.8106) Prec@1 57.031 (58.933) Prec@5 77.344 (80.684) Epoch: [36][7980/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8432 (1.8105) Prec@1 55.469 (58.933) Prec@5 79.688 (80.685) Epoch: [36][7990/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9078 (1.8106) Prec@1 57.031 (58.933) Prec@5 77.344 (80.684) Epoch: [36][8000/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8988 (1.8107) Prec@1 55.469 (58.929) Prec@5 77.344 (80.682) Epoch: [36][8010/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.5294 (1.8106) Prec@1 67.969 (58.931) Prec@5 82.031 (80.684) Epoch: [36][8020/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6431 (1.8105) Prec@1 57.031 (58.933) Prec@5 83.594 (80.686) Epoch: [36][8030/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8061 (1.8105) Prec@1 58.594 (58.932) Prec@5 79.688 (80.686) Epoch: [36][8040/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9133 (1.8104) Prec@1 60.156 (58.935) Prec@5 82.031 (80.687) Epoch: [36][8050/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9496 (1.8104) Prec@1 56.250 (58.934) Prec@5 82.031 (80.688) Epoch: [36][8060/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6253 (1.8104) Prec@1 63.281 (58.935) Prec@5 86.719 (80.686) Epoch: [36][8070/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6973 (1.8104) Prec@1 66.406 (58.937) Prec@5 82.812 (80.688) Epoch: [36][8080/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7163 (1.8104) Prec@1 62.500 (58.936) Prec@5 83.594 (80.686) Epoch: [36][8090/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.6963 (1.8105) Prec@1 58.594 (58.934) Prec@5 81.250 (80.683) Epoch: [36][8100/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8115 (1.8106) Prec@1 61.719 (58.933) Prec@5 82.031 (80.684) Epoch: [36][8110/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9436 (1.8106) Prec@1 51.562 (58.932) Prec@5 76.562 (80.682) Epoch: [36][8120/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9764 (1.8106) Prec@1 57.031 (58.933) Prec@5 73.438 (80.681) Epoch: [36][8130/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6023 (1.8105) Prec@1 60.156 (58.931) Prec@5 83.594 (80.680) Epoch: [36][8140/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7953 (1.8106) Prec@1 63.281 (58.931) Prec@5 85.938 (80.681) Epoch: [36][8150/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8063 (1.8106) Prec@1 53.906 (58.930) Prec@5 79.688 (80.680) Epoch: [36][8160/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8521 (1.8107) Prec@1 60.156 (58.929) Prec@5 81.250 (80.680) Epoch: [36][8170/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8009 (1.8107) Prec@1 56.250 (58.927) Prec@5 82.812 (80.680) Epoch: [36][8180/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9955 (1.8107) Prec@1 53.125 (58.928) Prec@5 82.812 (80.680) Epoch: [36][8190/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9526 (1.8107) Prec@1 56.250 (58.930) Prec@5 78.906 (80.681) Epoch: [36][8200/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8148 (1.8107) Prec@1 57.031 (58.929) Prec@5 78.906 (80.679) Epoch: [36][8210/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8561 (1.8106) Prec@1 56.250 (58.931) Prec@5 78.125 (80.682) Epoch: [36][8220/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9574 (1.8108) Prec@1 53.125 (58.929) Prec@5 77.344 (80.680) Epoch: [36][8230/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8681 (1.8109) Prec@1 57.031 (58.927) Prec@5 75.000 (80.678) Epoch: [36][8240/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6639 (1.8110) Prec@1 63.281 (58.926) Prec@5 85.156 (80.676) Epoch: [36][8250/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8573 (1.8109) Prec@1 53.125 (58.926) Prec@5 80.469 (80.678) Epoch: [36][8260/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.2965 (1.8110) Prec@1 53.906 (58.925) Prec@5 73.438 (80.676) Epoch: [36][8270/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7743 (1.8110) Prec@1 57.812 (58.925) Prec@5 81.250 (80.675) Epoch: [36][8280/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9883 (1.8110) Prec@1 57.812 (58.926) Prec@5 79.688 (80.675) Epoch: [36][8290/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0228 (1.8110) Prec@1 50.000 (58.925) Prec@5 73.438 (80.674) Epoch: [36][8300/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9093 (1.8111) Prec@1 59.375 (58.924) Prec@5 76.562 (80.674) Epoch: [36][8310/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7858 (1.8111) Prec@1 59.375 (58.923) Prec@5 78.906 (80.675) Epoch: [36][8320/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0204 (1.8112) Prec@1 52.344 (58.922) Prec@5 77.344 (80.674) Epoch: [36][8330/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8203 (1.8111) Prec@1 57.812 (58.922) Prec@5 82.812 (80.675) Epoch: [36][8340/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6786 (1.8111) Prec@1 64.062 (58.922) Prec@5 87.500 (80.675) Epoch: [36][8350/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0682 (1.8111) Prec@1 51.562 (58.923) Prec@5 75.000 (80.674) Epoch: [36][8360/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6533 (1.8109) Prec@1 64.062 (58.926) Prec@5 82.812 (80.676) Epoch: [36][8370/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0239 (1.8109) Prec@1 53.125 (58.924) Prec@5 77.344 (80.675) Epoch: [36][8380/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8274 (1.8109) Prec@1 60.156 (58.924) Prec@5 82.812 (80.676) Epoch: [36][8390/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.1021 (1.8110) Prec@1 58.594 (58.923) Prec@5 77.344 (80.676) Epoch: [36][8400/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6737 (1.8111) Prec@1 64.062 (58.922) Prec@5 82.031 (80.676) Epoch: [36][8410/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7390 (1.8112) Prec@1 61.719 (58.919) Prec@5 80.469 (80.674) Epoch: [36][8420/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9950 (1.8111) Prec@1 56.250 (58.920) Prec@5 79.688 (80.674) Epoch: [36][8430/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8845 (1.8112) Prec@1 57.031 (58.918) Prec@5 78.906 (80.674) Epoch: [36][8440/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.4343 (1.8111) Prec@1 65.625 (58.918) Prec@5 84.375 (80.674) Epoch: [36][8450/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7234 (1.8111) Prec@1 64.062 (58.920) Prec@5 84.375 (80.675) Epoch: [36][8460/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6609 (1.8111) Prec@1 60.938 (58.919) Prec@5 82.031 (80.674) Epoch: [36][8470/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9323 (1.8112) Prec@1 57.812 (58.919) Prec@5 78.125 (80.675) Epoch: [36][8480/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9812 (1.8112) Prec@1 58.594 (58.919) Prec@5 77.344 (80.674) Epoch: [36][8490/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9253 (1.8113) Prec@1 58.594 (58.919) Prec@5 81.250 (80.674) Epoch: [36][8500/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7813 (1.8113) Prec@1 58.594 (58.919) Prec@5 79.688 (80.673) Epoch: [36][8510/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8517 (1.8112) Prec@1 60.938 (58.920) Prec@5 79.688 (80.674) Epoch: [36][8520/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8446 (1.8112) Prec@1 55.469 (58.921) Prec@5 79.688 (80.674) Epoch: [36][8530/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8108 (1.8113) Prec@1 57.031 (58.918) Prec@5 82.812 (80.672) Epoch: [36][8540/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5892 (1.8113) Prec@1 61.719 (58.918) Prec@5 82.031 (80.671) Epoch: [36][8550/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9839 (1.8113) Prec@1 55.469 (58.918) Prec@5 73.438 (80.670) Epoch: [36][8560/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7601 (1.8113) Prec@1 58.594 (58.918) Prec@5 76.562 (80.669) Epoch: [36][8570/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7968 (1.8113) Prec@1 56.250 (58.917) Prec@5 80.469 (80.669) Epoch: [36][8580/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1246 (1.8115) Prec@1 56.250 (58.914) Prec@5 79.688 (80.667) Epoch: [36][8590/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8539 (1.8115) Prec@1 60.938 (58.914) Prec@5 75.781 (80.666) Epoch: [36][8600/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8996 (1.8115) Prec@1 60.156 (58.914) Prec@5 78.125 (80.667) Epoch: [36][8610/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7705 (1.8115) Prec@1 57.031 (58.915) Prec@5 82.031 (80.667) Epoch: [36][8620/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.6990 (1.8115) Prec@1 60.938 (58.914) Prec@5 79.688 (80.667) Epoch: [36][8630/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.0097 (1.8115) Prec@1 51.562 (58.913) Prec@5 79.688 (80.667) Epoch: [36][8640/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9119 (1.8114) Prec@1 58.594 (58.915) Prec@5 81.250 (80.670) Epoch: [36][8650/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7369 (1.8114) Prec@1 57.812 (58.914) Prec@5 81.250 (80.669) Epoch: [36][8660/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8362 (1.8114) Prec@1 56.250 (58.912) Prec@5 80.469 (80.672) Epoch: [36][8670/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6703 (1.8114) Prec@1 62.500 (58.913) Prec@5 79.688 (80.673) Epoch: [36][8680/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9629 (1.8112) Prec@1 57.031 (58.914) Prec@5 75.781 (80.674) Epoch: [36][8690/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1719 (1.8112) Prec@1 51.562 (58.915) Prec@5 70.312 (80.673) Epoch: [36][8700/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8240 (1.8114) Prec@1 61.719 (58.912) Prec@5 83.594 (80.670) Epoch: [36][8710/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8591 (1.8115) Prec@1 58.594 (58.909) Prec@5 82.812 (80.669) Epoch: [36][8720/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7992 (1.8116) Prec@1 57.812 (58.907) Prec@5 79.688 (80.669) Epoch: [36][8730/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7955 (1.8116) Prec@1 61.719 (58.906) Prec@5 78.125 (80.668) Epoch: [36][8740/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8427 (1.8116) Prec@1 60.938 (58.907) Prec@5 79.688 (80.669) Epoch: [36][8750/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7177 (1.8117) Prec@1 59.375 (58.904) Prec@5 83.594 (80.669) Epoch: [36][8760/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6816 (1.8118) Prec@1 62.500 (58.902) Prec@5 82.031 (80.668) Epoch: [36][8770/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1180 (1.8118) Prec@1 54.688 (58.902) Prec@5 77.344 (80.667) Epoch: [36][8780/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6572 (1.8118) Prec@1 60.938 (58.901) Prec@5 85.156 (80.666) Epoch: [36][8790/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5927 (1.8119) Prec@1 63.281 (58.900) Prec@5 85.938 (80.665) Epoch: [36][8800/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8700 (1.8120) Prec@1 57.812 (58.899) Prec@5 78.125 (80.663) Epoch: [36][8810/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6748 (1.8120) Prec@1 64.844 (58.898) Prec@5 81.250 (80.664) Epoch: [36][8820/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.5423 (1.8121) Prec@1 59.375 (58.896) Prec@5 90.625 (80.663) Epoch: [36][8830/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8280 (1.8120) Prec@1 57.812 (58.898) Prec@5 81.250 (80.664) Epoch: [36][8840/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7950 (1.8120) Prec@1 61.719 (58.899) Prec@5 78.906 (80.664) Epoch: [36][8850/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9601 (1.8120) Prec@1 52.344 (58.898) Prec@5 73.438 (80.662) Epoch: [36][8860/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9516 (1.8121) Prec@1 53.906 (58.898) Prec@5 80.469 (80.661) Epoch: [36][8870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9123 (1.8121) Prec@1 60.156 (58.897) Prec@5 79.688 (80.660) Epoch: [36][8880/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7590 (1.8122) Prec@1 57.031 (58.895) Prec@5 82.031 (80.658) Epoch: [36][8890/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7163 (1.8123) Prec@1 62.500 (58.894) Prec@5 77.344 (80.655) Epoch: [36][8900/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7840 (1.8124) Prec@1 61.719 (58.893) Prec@5 85.938 (80.655) Epoch: [36][8910/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7840 (1.8124) Prec@1 55.469 (58.893) Prec@5 78.125 (80.654) Epoch: [36][8920/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8089 (1.8125) Prec@1 58.594 (58.891) Prec@5 81.250 (80.652) Epoch: [36][8930/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8370 (1.8126) Prec@1 53.906 (58.891) Prec@5 81.250 (80.652) Epoch: [36][8940/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7943 (1.8126) Prec@1 60.938 (58.892) Prec@5 83.594 (80.653) Epoch: [36][8950/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7528 (1.8126) Prec@1 62.500 (58.891) Prec@5 81.250 (80.653) Epoch: [36][8960/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9533 (1.8126) Prec@1 54.688 (58.892) Prec@5 75.000 (80.652) Epoch: [36][8970/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9723 (1.8126) Prec@1 51.562 (58.890) Prec@5 78.906 (80.653) Epoch: [36][8980/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8820 (1.8127) Prec@1 57.031 (58.889) Prec@5 77.344 (80.651) Epoch: [36][8990/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7196 (1.8127) Prec@1 61.719 (58.890) Prec@5 82.031 (80.652) Epoch: [36][9000/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7610 (1.8127) Prec@1 57.031 (58.887) Prec@5 81.250 (80.652) Epoch: [36][9010/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7499 (1.8127) Prec@1 55.469 (58.888) Prec@5 83.594 (80.651) Epoch: [36][9020/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7976 (1.8128) Prec@1 58.594 (58.888) Prec@5 83.594 (80.651) Epoch: [36][9030/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9215 (1.8127) Prec@1 57.031 (58.889) Prec@5 77.344 (80.652) Epoch: [36][9040/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0393 (1.8127) Prec@1 51.562 (58.890) Prec@5 74.219 (80.652) Epoch: [36][9050/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9288 (1.8127) Prec@1 53.125 (58.890) Prec@5 78.906 (80.651) Epoch: [36][9060/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9573 (1.8127) Prec@1 58.594 (58.890) Prec@5 77.344 (80.651) Epoch: [36][9070/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0678 (1.8128) Prec@1 53.906 (58.891) Prec@5 75.781 (80.652) Epoch: [36][9080/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9071 (1.8128) Prec@1 56.250 (58.889) Prec@5 80.469 (80.651) Epoch: [36][9090/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6268 (1.8128) Prec@1 67.188 (58.889) Prec@5 82.812 (80.652) Epoch: [36][9100/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8005 (1.8128) Prec@1 57.812 (58.887) Prec@5 80.469 (80.651) Epoch: [36][9110/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7393 (1.8128) Prec@1 61.719 (58.887) Prec@5 84.375 (80.651) Epoch: [36][9120/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9790 (1.8129) Prec@1 60.156 (58.886) Prec@5 75.781 (80.649) Epoch: [36][9130/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5364 (1.8129) Prec@1 63.281 (58.885) Prec@5 86.719 (80.648) Epoch: [36][9140/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5837 (1.8128) Prec@1 63.281 (58.885) Prec@5 86.719 (80.649) Epoch: [36][9150/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9003 (1.8128) Prec@1 57.031 (58.885) Prec@5 82.031 (80.650) Epoch: [36][9160/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5340 (1.8129) Prec@1 67.969 (58.884) Prec@5 85.938 (80.650) Epoch: [36][9170/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7743 (1.8129) Prec@1 59.375 (58.884) Prec@5 82.812 (80.650) Epoch: [36][9180/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9059 (1.8128) Prec@1 54.688 (58.884) Prec@5 75.781 (80.649) Epoch: [36][9190/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7956 (1.8129) Prec@1 61.719 (58.885) Prec@5 79.688 (80.648) Epoch: [36][9200/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6602 (1.8129) Prec@1 64.062 (58.883) Prec@5 84.375 (80.648) Epoch: [36][9210/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8268 (1.8129) Prec@1 56.250 (58.882) Prec@5 82.031 (80.649) Epoch: [36][9220/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9807 (1.8129) Prec@1 57.031 (58.882) Prec@5 77.344 (80.648) Epoch: [36][9230/10010] Time 0.325 (0.331) Data 0.003 (0.001) Loss 1.8611 (1.8130) Prec@1 61.719 (58.883) Prec@5 76.562 (80.646) Epoch: [36][9240/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0998 (1.8130) Prec@1 60.938 (58.883) Prec@5 77.344 (80.647) Epoch: [36][9250/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9056 (1.8131) Prec@1 55.469 (58.881) Prec@5 82.812 (80.646) Epoch: [36][9260/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7757 (1.8132) Prec@1 60.156 (58.880) Prec@5 83.594 (80.645) Epoch: [36][9270/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6020 (1.8132) Prec@1 61.719 (58.880) Prec@5 86.719 (80.647) Epoch: [36][9280/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9595 (1.8132) Prec@1 52.344 (58.877) Prec@5 82.031 (80.647) Epoch: [36][9290/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6673 (1.8132) Prec@1 61.719 (58.878) Prec@5 82.812 (80.648) Epoch: [36][9300/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.9781 (1.8132) Prec@1 53.125 (58.878) Prec@5 80.469 (80.649) Epoch: [36][9310/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8553 (1.8132) Prec@1 60.156 (58.878) Prec@5 80.469 (80.648) Epoch: [36][9320/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.4144 (1.8131) Prec@1 64.062 (58.879) Prec@5 86.719 (80.648) Epoch: [36][9330/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.5121 (1.8130) Prec@1 61.719 (58.881) Prec@5 85.938 (80.650) Epoch: [36][9340/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5378 (1.8130) Prec@1 64.062 (58.882) Prec@5 84.375 (80.651) Epoch: [36][9350/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8524 (1.8131) Prec@1 56.250 (58.881) Prec@5 81.250 (80.649) Epoch: [36][9360/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0272 (1.8131) Prec@1 57.031 (58.881) Prec@5 79.688 (80.650) Epoch: [36][9370/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5449 (1.8131) Prec@1 67.188 (58.880) Prec@5 88.281 (80.650) Epoch: [36][9380/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6625 (1.8132) Prec@1 64.062 (58.881) Prec@5 80.469 (80.650) Epoch: [36][9390/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5198 (1.8132) Prec@1 65.625 (58.880) Prec@5 87.500 (80.650) Epoch: [36][9400/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.1529 (1.8132) Prec@1 51.562 (58.880) Prec@5 75.781 (80.649) Epoch: [36][9410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2623 (1.8132) Prec@1 54.688 (58.879) Prec@5 71.094 (80.650) Epoch: [36][9420/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1621 (1.8133) Prec@1 51.562 (58.878) Prec@5 78.906 (80.649) Epoch: [36][9430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8545 (1.8132) Prec@1 57.812 (58.878) Prec@5 84.375 (80.652) Epoch: [36][9440/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8666 (1.8133) Prec@1 60.938 (58.877) Prec@5 76.562 (80.650) Epoch: [36][9450/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.5336 (1.8131) Prec@1 67.969 (58.880) Prec@5 85.156 (80.653) Epoch: [36][9460/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8718 (1.8131) Prec@1 57.812 (58.882) Prec@5 81.250 (80.653) Epoch: [36][9470/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8600 (1.8132) Prec@1 59.375 (58.880) Prec@5 79.688 (80.651) Epoch: [36][9480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8825 (1.8132) Prec@1 59.375 (58.880) Prec@5 78.125 (80.651) Epoch: [36][9490/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7847 (1.8132) Prec@1 56.250 (58.880) Prec@5 80.469 (80.652) Epoch: [36][9500/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.1434 (1.8133) Prec@1 51.562 (58.878) Prec@5 75.781 (80.649) Epoch: [36][9510/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.2062 (1.8134) Prec@1 53.906 (58.878) Prec@5 71.875 (80.647) Epoch: [36][9520/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7494 (1.8134) Prec@1 60.156 (58.879) Prec@5 82.031 (80.648) Epoch: [36][9530/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8805 (1.8135) Prec@1 53.906 (58.877) Prec@5 78.906 (80.647) Epoch: [36][9540/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8555 (1.8134) Prec@1 60.156 (58.878) Prec@5 78.906 (80.647) Epoch: [36][9550/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7260 (1.8135) Prec@1 56.250 (58.876) Prec@5 82.812 (80.646) Epoch: [36][9560/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9018 (1.8135) Prec@1 53.906 (58.874) Prec@5 77.344 (80.646) Epoch: [36][9570/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8663 (1.8136) Prec@1 59.375 (58.873) Prec@5 82.031 (80.645) Epoch: [36][9580/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8561 (1.8137) Prec@1 53.906 (58.871) Prec@5 81.250 (80.643) Epoch: [36][9590/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7905 (1.8137) Prec@1 59.375 (58.871) Prec@5 82.031 (80.642) Epoch: [36][9600/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6490 (1.8137) Prec@1 57.031 (58.872) Prec@5 85.938 (80.641) Epoch: [36][9610/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8364 (1.8137) Prec@1 56.250 (58.872) Prec@5 77.344 (80.643) Epoch: [36][9620/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8288 (1.8137) Prec@1 57.812 (58.870) Prec@5 78.906 (80.641) Epoch: [36][9630/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6402 (1.8137) Prec@1 66.406 (58.872) Prec@5 84.375 (80.641) Epoch: [36][9640/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8574 (1.8137) Prec@1 59.375 (58.872) Prec@5 82.812 (80.640) Epoch: [36][9650/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.4875 (1.8137) Prec@1 66.406 (58.871) Prec@5 88.281 (80.640) Epoch: [36][9660/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9501 (1.8138) Prec@1 56.250 (58.870) Prec@5 78.125 (80.639) Epoch: [36][9670/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.2320 (1.8138) Prec@1 50.781 (58.869) Prec@5 76.562 (80.640) Epoch: [36][9680/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8467 (1.8139) Prec@1 60.938 (58.868) Prec@5 80.469 (80.639) Epoch: [36][9690/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8820 (1.8139) Prec@1 57.031 (58.867) Prec@5 85.156 (80.639) Epoch: [36][9700/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9554 (1.8139) Prec@1 54.688 (58.868) Prec@5 76.562 (80.639) Epoch: [36][9710/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0740 (1.8139) Prec@1 56.250 (58.868) Prec@5 72.656 (80.638) Epoch: [36][9720/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4787 (1.8140) Prec@1 65.625 (58.868) Prec@5 82.812 (80.637) Epoch: [36][9730/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7181 (1.8140) Prec@1 59.375 (58.867) Prec@5 82.031 (80.635) Epoch: [36][9740/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0152 (1.8141) Prec@1 59.375 (58.866) Prec@5 78.906 (80.635) Epoch: [36][9750/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.3506 (1.8141) Prec@1 50.000 (58.868) Prec@5 71.875 (80.635) Epoch: [36][9760/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8963 (1.8140) Prec@1 57.031 (58.869) Prec@5 80.469 (80.635) Epoch: [36][9770/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8823 (1.8141) Prec@1 57.031 (58.868) Prec@5 80.469 (80.634) Epoch: [36][9780/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9081 (1.8141) Prec@1 55.469 (58.868) Prec@5 78.125 (80.633) Epoch: [36][9790/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1062 (1.8140) Prec@1 54.688 (58.870) Prec@5 75.781 (80.635) Epoch: [36][9800/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9031 (1.8140) Prec@1 59.375 (58.871) Prec@5 78.906 (80.635) Epoch: [36][9810/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.1202 (1.8140) Prec@1 53.906 (58.871) Prec@5 78.906 (80.635) Epoch: [36][9820/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6025 (1.8139) Prec@1 60.938 (58.872) Prec@5 86.719 (80.635) Epoch: [36][9830/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0492 (1.8139) Prec@1 51.562 (58.872) Prec@5 78.906 (80.635) Epoch: [36][9840/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6587 (1.8139) Prec@1 60.156 (58.871) Prec@5 81.250 (80.636) Epoch: [36][9850/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6713 (1.8139) Prec@1 64.062 (58.872) Prec@5 82.031 (80.636) Epoch: [36][9860/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6802 (1.8139) Prec@1 64.844 (58.871) Prec@5 85.156 (80.637) Epoch: [36][9870/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7754 (1.8140) Prec@1 58.594 (58.871) Prec@5 82.812 (80.637) Epoch: [36][9880/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0844 (1.8140) Prec@1 57.031 (58.871) Prec@5 70.312 (80.636) Epoch: [36][9890/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9457 (1.8141) Prec@1 57.031 (58.871) Prec@5 78.125 (80.636) Epoch: [36][9900/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8802 (1.8141) Prec@1 63.281 (58.872) Prec@5 79.688 (80.636) Epoch: [36][9910/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5744 (1.8141) Prec@1 60.938 (58.872) Prec@5 82.812 (80.635) Epoch: [36][9920/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5758 (1.8140) Prec@1 66.406 (58.875) Prec@5 83.594 (80.636) Epoch: [36][9930/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0118 (1.8139) Prec@1 51.562 (58.876) Prec@5 77.344 (80.635) Epoch: [36][9940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7928 (1.8139) Prec@1 60.156 (58.875) Prec@5 79.688 (80.634) Epoch: [36][9950/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.6184 (1.8138) Prec@1 63.281 (58.876) Prec@5 86.719 (80.635) Epoch: [36][9960/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.2993 (1.8139) Prec@1 52.344 (58.875) Prec@5 74.219 (80.635) /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][9970/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8054 (1.8138) Prec@1 60.156 (58.876) Prec@5 82.031 (80.636) Epoch: [36][9980/10010] Time 0.327 (0.331) Data 0.002 (0.001) Loss 1.7058 (1.8138) Prec@1 61.719 (58.877) Prec@5 79.688 (80.635) Epoch: [36][9990/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5308 (1.8139) Prec@1 61.719 (58.875) Prec@5 83.594 (80.634) Epoch: [36][10000/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7493 (1.8138) Prec@1 61.719 (58.877) Prec@5 81.250 (80.635) Test: [0/391] Time 1.396 (1.396) Loss 0.8351 (0.8351) Prec@1 81.250 (81.250) Prec@5 92.969 (92.969) Test: [10/391] Time 0.114 (0.236) Loss 1.2375 (0.9052) Prec@1 69.531 (78.764) Prec@5 87.500 (92.472) Test: [20/391] Time 0.114 (0.176) Loss 1.1904 (1.1914) Prec@1 64.844 (71.057) Prec@5 89.844 (88.988) Test: [30/391] Time 0.111 (0.155) Loss 1.9003 (1.3079) Prec@1 60.938 (67.364) Prec@5 82.031 (88.281) Test: [40/391] Time 0.105 (0.144) Loss 1.0806 (1.1863) Prec@1 71.875 (69.989) Prec@5 91.406 (89.558) Test: [50/391] Time 0.105 (0.136) Loss 0.7639 (1.2301) Prec@1 79.688 (69.439) Prec@5 95.312 (89.062) Test: [60/391] Time 0.103 (0.131) Loss 1.7978 (1.1785) Prec@1 53.125 (70.530) Prec@5 85.156 (89.600) Test: [70/391] Time 0.100 (0.128) Loss 1.3458 (1.2173) Prec@1 64.844 (69.223) Prec@5 89.844 (89.547) Test: [80/391] Time 0.105 (0.125) Loss 1.2870 (1.2439) Prec@1 67.188 (68.220) Prec@5 89.062 (89.468) Test: [90/391] Time 0.107 (0.124) Loss 1.3337 (1.2432) Prec@1 53.125 (68.304) Prec@5 90.625 (89.526) Test: [100/391] Time 0.104 (0.122) Loss 1.4674 (1.2342) Prec@1 57.812 (68.023) Prec@5 91.406 (89.906) Test: [110/391] Time 0.110 (0.121) Loss 1.7640 (1.2380) Prec@1 45.312 (67.631) Prec@5 83.594 (89.985) Test: [120/391] Time 0.107 (0.120) Loss 0.9180 (1.2247) Prec@1 78.906 (68.117) Prec@5 95.312 (90.199) Test: [130/391] Time 0.100 (0.119) Loss 0.4826 (1.2100) Prec@1 88.281 (68.631) Prec@5 96.094 (90.297) Test: [140/391] Time 0.111 (0.118) Loss 1.4055 (1.2057) Prec@1 66.406 (68.645) Prec@5 90.625 (90.370) Test: [150/391] Time 0.106 (0.117) Loss 1.2030 (1.2100) Prec@1 54.688 (68.652) Prec@5 93.750 (90.211) Test: [160/391] Time 0.109 (0.117) Loss 1.3205 (1.2202) Prec@1 61.719 (68.435) Prec@5 88.281 (90.120) Test: [170/391] Time 0.110 (0.116) Loss 2.3706 (1.2605) Prec@1 35.156 (67.667) Prec@5 77.344 (89.597) Test: [180/391] Time 0.159 (0.116) Loss 2.3646 (1.2960) Prec@1 41.406 (66.963) Prec@5 78.906 (89.110) Test: [190/391] Time 0.109 (0.116) Loss 2.2842 (1.3311) Prec@1 54.688 (66.333) Prec@5 81.250 (88.621) Test: [200/391] Time 0.110 (0.115) Loss 1.7179 (1.3713) Prec@1 56.250 (65.528) Prec@5 77.344 (88.025) Test: [210/391] Time 0.104 (0.115) Loss 1.6948 (1.3886) Prec@1 58.594 (65.229) Prec@5 85.938 (87.848) Test: [220/391] Time 0.104 (0.114) Loss 0.9549 (1.3999) Prec@1 76.562 (65.095) Prec@5 93.750 (87.606) Test: [230/391] Time 0.110 (0.114) Loss 2.2934 (1.4096) Prec@1 46.094 (64.976) Prec@5 76.562 (87.426) Test: [240/391] Time 0.111 (0.114) Loss 1.7490 (1.4176) Prec@1 64.062 (64.928) Prec@5 81.250 (87.270) Test: [250/391] Time 0.102 (0.114) Loss 1.1195 (1.4439) Prec@1 72.656 (64.371) Prec@5 89.062 (86.899) Test: [260/391] Time 0.102 (0.113) Loss 1.8083 (1.4622) Prec@1 60.156 (64.048) Prec@5 78.906 (86.665) Test: [270/391] Time 0.106 (0.113) Loss 1.6345 (1.4726) Prec@1 59.375 (63.861) Prec@5 86.719 (86.479) Test: [280/391] Time 0.103 (0.113) Loss 1.3976 (1.4821) Prec@1 61.719 (63.765) Prec@5 87.500 (86.341) Test: [290/391] Time 0.103 (0.113) Loss 2.2497 (1.4954) Prec@1 49.219 (63.579) Prec@5 78.125 (86.085) Test: [300/391] Time 0.106 (0.112) Loss 1.5716 (1.5106) Prec@1 69.531 (63.341) Prec@5 84.375 (85.886) Test: [310/391] Time 0.106 (0.112) Loss 1.8072 (1.5205) Prec@1 61.719 (63.193) Prec@5 78.125 (85.706) Test: [320/391] Time 0.112 (0.112) Loss 0.8956 (1.5287) Prec@1 80.469 (63.084) Prec@5 92.188 (85.565) Test: [330/391] Time 0.105 (0.112) Loss 2.3023 (1.5510) Prec@1 48.438 (62.609) Prec@5 75.000 (85.239) Test: [340/391] Time 0.104 (0.112) Loss 1.4751 (1.5581) Prec@1 57.031 (62.401) Prec@5 91.406 (85.122) Test: [350/391] Time 0.121 (0.112) Loss 1.5273 (1.5628) Prec@1 66.406 (62.344) Prec@5 85.156 (85.005) Test: [360/391] Time 0.107 (0.111) Loss 1.5884 (1.5700) Prec@1 58.594 (62.195) Prec@5 84.375 (84.936) Test: [370/391] Time 0.117 (0.111) Loss 1.5829 (1.5646) Prec@1 53.906 (62.268) Prec@5 91.406 (85.024) Test: [380/391] Time 0.108 (0.111) Loss 1.0401 (1.5676) Prec@1 72.656 (62.246) Prec@5 91.406 (84.959) Test: [390/391] Time 0.076 (0.111) Loss 2.6683 (1.5615) Prec@1 36.250 (62.412) Prec@5 71.250 (85.022) * Prec@1 62.412 Prec@5 85.022 Epoch: [37][0/10010] Time 2.665 (2.665) Data 2.502 (2.502) Loss 2.1225 (2.1225) Prec@1 55.469 (55.469) Prec@5 78.906 (78.906) Epoch: [37][10/10010] Time 0.317 (0.536) Data 0.001 (0.228) Loss 1.5736 (1.8025) Prec@1 58.594 (59.162) Prec@5 84.375 (81.747) Epoch: [37][20/10010] Time 0.328 (0.434) Data 0.000 (0.120) Loss 1.5926 (1.8372) Prec@1 63.281 (58.482) Prec@5 82.812 (79.948) Epoch: [37][30/10010] Time 0.306 (0.398) Data 0.001 (0.081) Loss 1.9468 (1.8066) Prec@1 60.156 (59.299) Prec@5 78.125 (80.418) Epoch: [37][40/10010] Time 0.311 (0.379) Data 0.000 (0.061) Loss 1.8325 (1.7936) Prec@1 53.906 (59.394) Prec@5 84.375 (81.021) Epoch: [37][50/10010] Time 0.326 (0.368) Data 0.001 (0.050) Loss 1.9410 (1.8025) Prec@1 58.594 (59.375) Prec@5 80.469 (80.974) Epoch: [37][60/10010] Time 0.344 (0.362) Data 0.000 (0.041) Loss 2.0321 (1.8046) Prec@1 53.906 (58.952) Prec@5 82.812 (80.930) Epoch: [37][70/10010] Time 0.329 (0.359) Data 0.000 (0.036) Loss 2.1704 (1.8044) Prec@1 51.562 (59.056) Prec@5 75.781 (80.964) Epoch: [37][80/10010] Time 0.331 (0.354) Data 0.000 (0.031) Loss 1.7331 (1.8079) Prec@1 58.594 (58.922) Prec@5 81.250 (80.845) Epoch: [37][90/10010] Time 0.340 (0.352) Data 0.000 (0.028) Loss 2.2178 (1.8071) Prec@1 50.000 (58.963) Prec@5 76.562 (80.889) Epoch: [37][100/10010] Time 0.345 (0.351) Data 0.000 (0.025) Loss 1.6030 (1.8028) Prec@1 60.156 (59.120) Prec@5 82.812 (80.925) Epoch: [37][110/10010] Time 0.334 (0.350) Data 0.000 (0.023) Loss 1.8382 (1.8030) Prec@1 60.938 (59.093) Prec@5 79.688 (80.849) Epoch: [37][120/10010] Time 0.320 (0.348) Data 0.000 (0.021) Loss 1.8002 (1.7999) Prec@1 55.469 (59.110) Prec@5 83.594 (80.882) Epoch: [37][130/10010] Time 0.320 (0.346) Data 0.001 (0.020) Loss 1.5745 (1.7987) Prec@1 63.281 (59.256) Prec@5 82.031 (80.880) Epoch: [37][140/10010] Time 0.328 (0.345) Data 0.001 (0.018) Loss 1.6247 (1.7980) Prec@1 65.625 (59.192) Prec@5 82.812 (80.879) Epoch: [37][150/10010] Time 0.324 (0.343) Data 0.001 (0.017) Loss 2.0128 (1.8066) Prec@1 56.250 (59.070) Prec@5 77.344 (80.795) Epoch: [37][160/10010] Time 0.328 (0.342) Data 0.001 (0.016) Loss 1.6754 (1.8082) Prec@1 63.281 (59.069) Prec@5 81.250 (80.740) Epoch: [37][170/10010] Time 0.315 (0.341) Data 0.001 (0.015) Loss 1.8875 (1.8153) Prec@1 59.375 (58.941) Prec@5 79.688 (80.578) Epoch: [37][180/10010] Time 0.324 (0.340) Data 0.000 (0.014) Loss 1.9097 (1.8163) Prec@1 60.156 (58.995) Prec@5 84.375 (80.577) Epoch: [37][190/10010] Time 0.328 (0.340) Data 0.001 (0.014) Loss 2.2151 (1.8173) Prec@1 47.656 (58.974) Prec@5 69.531 (80.481) Epoch: [37][200/10010] Time 0.340 (0.340) Data 0.000 (0.013) Loss 1.8893 (1.8174) Prec@1 57.812 (58.982) Prec@5 77.344 (80.515) Epoch: [37][210/10010] Time 0.331 (0.339) Data 0.001 (0.012) Loss 1.6396 (1.8117) Prec@1 66.406 (59.101) Prec@5 81.250 (80.595) Epoch: [37][220/10010] Time 0.319 (0.339) Data 0.000 (0.012) Loss 1.5291 (1.8110) Prec@1 63.281 (59.089) Prec@5 81.250 (80.607) Epoch: [37][230/10010] Time 0.336 (0.338) Data 0.000 (0.011) Loss 1.5216 (1.8131) Prec@1 62.500 (59.064) Prec@5 84.375 (80.567) /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][240/10010] Time 0.342 (0.338) Data 0.000 (0.011) Loss 2.0521 (1.8148) Prec@1 53.125 (59.005) Prec@5 78.906 (80.547) Epoch: [37][250/10010] Time 0.320 (0.337) Data 0.000 (0.011) Loss 1.8561 (1.8090) Prec@1 60.938 (59.120) Prec@5 82.031 (80.640) Epoch: [37][260/10010] Time 0.323 (0.337) Data 0.000 (0.010) Loss 1.8617 (1.8012) Prec@1 60.156 (59.354) Prec@5 82.031 (80.768) Epoch: [37][270/10010] Time 0.330 (0.337) Data 0.001 (0.010) Loss 1.9823 (1.8015) Prec@1 57.812 (59.340) Prec@5 79.688 (80.757) Epoch: [37][280/10010] Time 0.333 (0.337) Data 0.001 (0.009) Loss 1.7422 (1.7993) Prec@1 60.938 (59.381) Prec@5 84.375 (80.788) Epoch: [37][290/10010] Time 0.334 (0.336) Data 0.000 (0.009) Loss 1.4881 (1.8004) Prec@1 66.406 (59.303) Prec@5 86.719 (80.810) Epoch: [37][300/10010] Time 0.331 (0.336) Data 0.001 (0.009) Loss 2.0680 (1.7996) Prec@1 53.125 (59.378) Prec@5 79.688 (80.830) Epoch: [37][310/10010] Time 0.322 (0.336) Data 0.000 (0.009) Loss 1.9800 (1.7999) Prec@1 58.594 (59.378) Prec@5 78.125 (80.843) Epoch: [37][320/10010] Time 0.345 (0.336) Data 0.001 (0.008) Loss 1.7513 (1.7986) Prec@1 58.594 (59.375) Prec@5 81.250 (80.851) Epoch: [37][330/10010] Time 0.338 (0.335) Data 0.000 (0.008) Loss 1.7981 (1.7988) Prec@1 57.031 (59.304) Prec@5 80.469 (80.856) Epoch: [37][340/10010] Time 0.335 (0.335) Data 0.001 (0.008) Loss 1.5891 (1.7979) Prec@1 58.594 (59.322) Prec@5 88.281 (80.888) Epoch: [37][350/10010] Time 0.331 (0.335) Data 0.000 (0.008) Loss 1.6351 (1.7973) Prec@1 67.188 (59.373) Prec@5 85.938 (80.896) Epoch: [37][360/10010] Time 0.343 (0.335) Data 0.001 (0.007) Loss 1.6978 (1.7973) Prec@1 54.688 (59.347) Prec@5 84.375 (80.889) Epoch: [37][370/10010] Time 0.342 (0.335) Data 0.001 (0.007) Loss 1.9347 (1.7987) Prec@1 58.594 (59.331) Prec@5 79.688 (80.903) Epoch: [37][380/10010] Time 0.339 (0.335) Data 0.001 (0.007) Loss 1.6032 (1.7979) Prec@1 66.406 (59.354) Prec@5 83.594 (80.891) Epoch: [37][390/10010] Time 0.339 (0.335) Data 0.000 (0.007) Loss 1.7261 (1.7973) Prec@1 54.688 (59.339) Prec@5 85.156 (80.944) Epoch: [37][400/10010] Time 0.324 (0.335) Data 0.000 (0.007) Loss 1.7660 (1.7974) Prec@1 57.812 (59.348) Prec@5 80.469 (80.923) Epoch: [37][410/10010] Time 0.321 (0.334) Data 0.001 (0.007) Loss 1.5231 (1.7948) Prec@1 64.844 (59.386) Prec@5 85.156 (80.965) Epoch: [37][420/10010] Time 0.323 (0.334) Data 0.000 (0.006) Loss 1.8028 (1.7939) Prec@1 57.031 (59.403) Prec@5 79.688 (80.977) Epoch: [37][430/10010] Time 0.338 (0.334) Data 0.000 (0.006) Loss 1.4497 (1.7925) Prec@1 65.625 (59.417) Prec@5 90.625 (81.023) Epoch: [37][440/10010] Time 0.319 (0.334) Data 0.000 (0.006) Loss 1.7007 (1.7912) Prec@1 67.188 (59.433) Prec@5 85.938 (81.039) Epoch: [37][450/10010] Time 0.340 (0.334) Data 0.001 (0.006) Loss 1.7788 (1.7928) Prec@1 60.938 (59.382) Prec@5 82.031 (81.007) Epoch: [37][460/10010] Time 0.326 (0.334) Data 0.000 (0.006) Loss 1.4667 (1.7927) Prec@1 62.500 (59.402) Prec@5 85.938 (81.011) Epoch: [37][470/10010] Time 0.319 (0.334) Data 0.000 (0.006) Loss 1.7029 (1.7916) Prec@1 61.719 (59.413) Prec@5 82.031 (81.039) Epoch: [37][480/10010] Time 0.325 (0.334) Data 0.000 (0.006) Loss 1.6477 (1.7940) Prec@1 59.375 (59.333) Prec@5 84.375 (81.010) Epoch: [37][490/10010] Time 0.327 (0.334) Data 0.000 (0.006) Loss 1.8705 (1.7928) Prec@1 57.812 (59.321) Prec@5 83.594 (81.042) Epoch: [37][500/10010] Time 0.319 (0.333) Data 0.000 (0.006) Loss 1.8599 (1.7931) Prec@1 60.156 (59.336) Prec@5 79.688 (81.036) Epoch: [37][510/10010] Time 0.333 (0.333) Data 0.001 (0.005) Loss 2.0519 (1.7931) Prec@1 52.344 (59.341) Prec@5 77.344 (81.041) Epoch: [37][520/10010] Time 0.339 (0.333) Data 0.000 (0.005) Loss 1.7859 (1.7928) Prec@1 60.938 (59.350) Prec@5 81.250 (81.045) Epoch: [37][530/10010] Time 0.329 (0.333) Data 0.000 (0.005) Loss 1.5989 (1.7928) Prec@1 62.500 (59.397) Prec@5 79.688 (81.047) Epoch: [37][540/10010] Time 0.315 (0.334) Data 0.001 (0.005) Loss 1.7446 (1.7912) Prec@1 56.250 (59.423) Prec@5 82.031 (81.072) Epoch: [37][550/10010] Time 0.341 (0.333) Data 0.000 (0.005) Loss 1.7665 (1.7910) Prec@1 54.688 (59.415) Prec@5 81.250 (81.080) Epoch: [37][560/10010] Time 0.316 (0.333) Data 0.001 (0.005) Loss 2.1202 (1.7905) Prec@1 54.688 (59.427) Prec@5 76.562 (81.097) Epoch: [37][570/10010] Time 0.316 (0.333) Data 0.001 (0.005) Loss 1.8825 (1.7904) Prec@1 51.562 (59.417) Prec@5 81.250 (81.098) Epoch: [37][580/10010] Time 0.321 (0.333) Data 0.000 (0.005) Loss 1.8633 (1.7898) Prec@1 56.250 (59.438) Prec@5 82.031 (81.124) Epoch: [37][590/10010] Time 0.343 (0.333) Data 0.001 (0.005) Loss 1.8407 (1.7898) Prec@1 59.375 (59.440) Prec@5 80.469 (81.138) Epoch: [37][600/10010] Time 0.326 (0.333) Data 0.000 (0.005) Loss 1.6774 (1.7914) Prec@1 64.844 (59.405) Prec@5 82.031 (81.128) Epoch: [37][610/10010] Time 0.340 (0.333) Data 0.000 (0.005) Loss 1.9487 (1.7906) Prec@1 58.594 (59.416) Prec@5 79.688 (81.134) Epoch: [37][620/10010] Time 0.345 (0.333) Data 0.000 (0.005) Loss 1.5340 (1.7919) Prec@1 60.938 (59.371) Prec@5 87.500 (81.109) Epoch: [37][630/10010] Time 0.337 (0.333) Data 0.000 (0.005) Loss 1.7883 (1.7909) Prec@1 58.594 (59.422) Prec@5 82.031 (81.127) Epoch: [37][640/10010] Time 0.339 (0.333) Data 0.000 (0.004) Loss 1.5858 (1.7905) Prec@1 64.844 (59.438) Prec@5 84.375 (81.127) Epoch: [37][650/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 1.7642 (1.7906) Prec@1 58.594 (59.443) Prec@5 78.906 (81.130) Epoch: [37][660/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 1.5477 (1.7909) Prec@1 67.188 (59.425) Prec@5 84.375 (81.118) Epoch: [37][670/10010] Time 0.335 (0.333) Data 0.001 (0.004) Loss 1.6561 (1.7901) Prec@1 64.844 (59.431) Prec@5 81.250 (81.128) Epoch: [37][680/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 1.7330 (1.7893) Prec@1 62.500 (59.438) Prec@5 78.906 (81.134) Epoch: [37][690/10010] Time 0.331 (0.333) Data 0.001 (0.004) Loss 1.7441 (1.7899) Prec@1 60.938 (59.437) Prec@5 82.812 (81.131) Epoch: [37][700/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 1.9982 (1.7897) Prec@1 54.688 (59.447) Prec@5 80.469 (81.154) Epoch: [37][710/10010] Time 0.331 (0.333) Data 0.000 (0.004) Loss 1.6216 (1.7889) Prec@1 62.500 (59.468) Prec@5 82.031 (81.135) Epoch: [37][720/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 1.8505 (1.7892) Prec@1 59.375 (59.453) Prec@5 75.000 (81.133) Epoch: [37][730/10010] Time 0.339 (0.333) Data 0.000 (0.004) Loss 1.9295 (1.7893) Prec@1 55.469 (59.431) Prec@5 81.250 (81.143) Epoch: [37][740/10010] Time 0.322 (0.333) Data 0.000 (0.004) Loss 1.9528 (1.7892) Prec@1 53.125 (59.427) Prec@5 78.906 (81.133) Epoch: [37][750/10010] Time 0.338 (0.333) Data 0.001 (0.004) Loss 1.8310 (1.7891) Prec@1 56.250 (59.411) Prec@5 82.031 (81.128) Epoch: [37][760/10010] Time 0.320 (0.332) Data 0.001 (0.004) Loss 1.3911 (1.7873) Prec@1 67.188 (59.437) Prec@5 88.281 (81.145) Epoch: [37][770/10010] Time 0.340 (0.332) Data 0.001 (0.004) Loss 1.3390 (1.7866) Prec@1 62.500 (59.461) Prec@5 89.844 (81.152) Epoch: [37][780/10010] Time 0.338 (0.332) Data 0.000 (0.004) Loss 1.8036 (1.7884) Prec@1 61.719 (59.444) Prec@5 81.250 (81.131) Epoch: [37][790/10010] Time 0.317 (0.332) Data 0.001 (0.004) Loss 1.7117 (1.7869) Prec@1 60.938 (59.459) Prec@5 84.375 (81.156) Epoch: [37][800/10010] Time 0.338 (0.332) Data 0.000 (0.004) Loss 1.3437 (1.7864) Prec@1 72.656 (59.475) Prec@5 87.500 (81.169) Epoch: [37][810/10010] Time 0.341 (0.332) Data 0.000 (0.004) Loss 1.9237 (1.7866) Prec@1 50.781 (59.451) Prec@5 83.594 (81.170) Epoch: [37][820/10010] Time 0.330 (0.332) Data 0.000 (0.004) Loss 1.5479 (1.7867) Prec@1 62.500 (59.442) Prec@5 85.938 (81.162) Epoch: [37][830/10010] Time 0.327 (0.332) Data 0.001 (0.004) Loss 1.9966 (1.7875) Prec@1 56.250 (59.423) Prec@5 75.000 (81.141) Epoch: [37][840/10010] Time 0.322 (0.332) Data 0.000 (0.004) Loss 1.5836 (1.7885) Prec@1 64.844 (59.408) Prec@5 83.594 (81.133) Epoch: [37][850/10010] Time 0.317 (0.332) Data 0.001 (0.003) Loss 1.8532 (1.7898) Prec@1 53.125 (59.379) Prec@5 82.812 (81.113) Epoch: [37][860/10010] Time 0.318 (0.332) Data 0.001 (0.003) Loss 1.5386 (1.7891) Prec@1 66.406 (59.393) Prec@5 85.938 (81.115) Epoch: [37][870/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 2.0490 (1.7894) Prec@1 55.469 (59.373) Prec@5 71.875 (81.102) Epoch: [37][880/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 1.7323 (1.7897) Prec@1 64.844 (59.385) Prec@5 79.688 (81.098) Epoch: [37][890/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.8297 (1.7902) Prec@1 58.594 (59.373) Prec@5 78.906 (81.088) Epoch: [37][900/10010] Time 0.322 (0.332) Data 0.000 (0.003) Loss 1.9146 (1.7903) Prec@1 56.250 (59.375) Prec@5 76.562 (81.084) Epoch: [37][910/10010] Time 0.316 (0.332) Data 0.000 (0.003) Loss 1.6941 (1.7898) Prec@1 57.812 (59.372) Prec@5 82.031 (81.102) Epoch: [37][920/10010] Time 0.338 (0.332) Data 0.001 (0.003) Loss 1.8013 (1.7898) Prec@1 58.594 (59.370) Prec@5 81.250 (81.109) Epoch: [37][930/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.6522 (1.7890) Prec@1 63.281 (59.384) Prec@5 80.469 (81.127) Epoch: [37][940/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 2.0868 (1.7882) Prec@1 53.125 (59.401) Prec@5 73.438 (81.135) Epoch: [37][950/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 1.4361 (1.7877) Prec@1 63.281 (59.423) Prec@5 85.156 (81.145) Epoch: [37][960/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 1.7674 (1.7882) Prec@1 61.719 (59.413) Prec@5 82.031 (81.134) Epoch: [37][970/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 1.6979 (1.7888) Prec@1 61.719 (59.400) Prec@5 82.812 (81.129) Epoch: [37][980/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 2.0128 (1.7889) Prec@1 54.688 (59.373) Prec@5 77.344 (81.125) Epoch: [37][990/10010] Time 0.331 (0.332) Data 0.001 (0.003) Loss 2.1511 (1.7888) Prec@1 52.344 (59.360) Prec@5 76.562 (81.118) Epoch: [37][1000/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 1.7965 (1.7895) Prec@1 54.688 (59.339) Prec@5 81.250 (81.112) Epoch: [37][1010/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 1.9263 (1.7892) Prec@1 62.500 (59.367) Prec@5 74.219 (81.110) Epoch: [37][1020/10010] Time 0.342 (0.332) Data 0.001 (0.003) Loss 1.4170 (1.7878) Prec@1 66.406 (59.403) Prec@5 87.500 (81.127) Epoch: [37][1030/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 1.9504 (1.7868) Prec@1 57.031 (59.429) Prec@5 76.562 (81.133) Epoch: [37][1040/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 1.7216 (1.7868) Prec@1 57.812 (59.433) Prec@5 80.469 (81.137) Epoch: [37][1050/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 1.7597 (1.7867) Prec@1 60.156 (59.437) Prec@5 82.812 (81.141) Epoch: [37][1060/10010] Time 0.344 (0.332) Data 0.001 (0.003) Loss 1.7779 (1.7872) Prec@1 57.031 (59.418) Prec@5 79.688 (81.126) Epoch: [37][1070/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 1.7282 (1.7875) Prec@1 57.812 (59.399) Prec@5 81.250 (81.125) Epoch: [37][1080/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 1.5095 (1.7878) Prec@1 62.500 (59.394) Prec@5 85.938 (81.113) Epoch: [37][1090/10010] Time 0.324 (0.332) Data 0.001 (0.003) Loss 1.5178 (1.7879) Prec@1 63.281 (59.406) Prec@5 85.156 (81.110) Epoch: [37][1100/10010] Time 0.345 (0.332) Data 0.000 (0.003) Loss 1.5026 (1.7873) Prec@1 66.406 (59.415) Prec@5 82.031 (81.117) Epoch: [37][1110/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 1.5523 (1.7870) Prec@1 67.188 (59.414) Prec@5 84.375 (81.128) Epoch: [37][1120/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.4958 (1.7859) Prec@1 62.500 (59.429) Prec@5 85.156 (81.150) Epoch: [37][1130/10010] Time 0.346 (0.332) Data 0.000 (0.003) Loss 1.9277 (1.7856) Prec@1 55.469 (59.427) Prec@5 78.125 (81.150) Epoch: [37][1140/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 1.8935 (1.7853) Prec@1 53.906 (59.443) Prec@5 79.688 (81.156) Epoch: [37][1150/10010] Time 0.320 (0.332) Data 0.000 (0.003) Loss 1.7456 (1.7851) Prec@1 63.281 (59.446) Prec@5 81.250 (81.160) Epoch: [37][1160/10010] Time 0.340 (0.332) Data 0.000 (0.003) Loss 1.8021 (1.7858) Prec@1 59.375 (59.443) Prec@5 82.812 (81.154) Epoch: [37][1170/10010] Time 0.321 (0.332) Data 0.000 (0.003) Loss 1.7127 (1.7851) Prec@1 60.156 (59.451) Prec@5 81.250 (81.172) Epoch: [37][1180/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 1.8932 (1.7854) Prec@1 59.375 (59.436) Prec@5 76.562 (81.157) Epoch: [37][1190/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 1.7759 (1.7853) Prec@1 57.812 (59.439) Prec@5 82.812 (81.155) Epoch: [37][1200/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 1.9798 (1.7849) Prec@1 54.688 (59.454) Prec@5 78.125 (81.160) Epoch: [37][1210/10010] Time 0.327 (0.331) Data 0.000 (0.003) Loss 1.8905 (1.7852) Prec@1 54.688 (59.449) Prec@5 81.250 (81.156) Epoch: [37][1220/10010] Time 0.328 (0.331) Data 0.001 (0.003) Loss 1.7245 (1.7848) Prec@1 61.719 (59.452) Prec@5 79.688 (81.159) Epoch: [37][1230/10010] Time 0.336 (0.331) Data 0.001 (0.003) Loss 1.8512 (1.7855) Prec@1 57.031 (59.452) Prec@5 85.156 (81.152) Epoch: [37][1240/10010] Time 0.343 (0.332) Data 0.000 (0.003) Loss 2.0339 (1.7857) Prec@1 54.688 (59.453) Prec@5 78.125 (81.152) Epoch: [37][1250/10010] Time 0.322 (0.331) Data 0.001 (0.003) Loss 1.8738 (1.7857) Prec@1 60.156 (59.461) Prec@5 80.469 (81.153) Epoch: [37][1260/10010] Time 0.330 (0.331) Data 0.000 (0.003) Loss 1.7709 (1.7860) Prec@1 62.500 (59.462) Prec@5 79.688 (81.148) Epoch: [37][1270/10010] Time 0.339 (0.331) Data 0.001 (0.003) Loss 1.8991 (1.7851) Prec@1 53.125 (59.483) Prec@5 78.906 (81.157) Epoch: [37][1280/10010] Time 0.321 (0.331) Data 0.000 (0.003) Loss 1.7005 (1.7854) Prec@1 57.031 (59.481) Prec@5 85.156 (81.146) Epoch: [37][1290/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.3906 (1.7858) Prec@1 64.844 (59.483) Prec@5 86.719 (81.141) Epoch: [37][1300/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 1.7770 (1.7859) Prec@1 60.156 (59.486) Prec@5 81.250 (81.132) Epoch: [37][1310/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.7666 (1.7862) Prec@1 57.031 (59.491) Prec@5 82.812 (81.132) Epoch: [37][1320/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 1.8707 (1.7865) Prec@1 58.594 (59.480) Prec@5 78.125 (81.120) Epoch: [37][1330/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.0101 (1.7869) Prec@1 59.375 (59.476) Prec@5 78.906 (81.121) Epoch: [37][1340/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.0452 (1.7868) Prec@1 53.906 (59.479) Prec@5 77.344 (81.124) Epoch: [37][1350/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.5769 (1.7875) Prec@1 63.281 (59.463) Prec@5 81.250 (81.114) Epoch: [37][1360/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 1.8082 (1.7878) Prec@1 59.375 (59.458) Prec@5 77.344 (81.102) Epoch: [37][1370/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 1.8518 (1.7881) Prec@1 53.125 (59.449) Prec@5 78.906 (81.098) Epoch: [37][1380/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.0251 (1.7893) Prec@1 54.688 (59.430) Prec@5 76.562 (81.074) Epoch: [37][1390/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.6531 (1.7899) Prec@1 65.625 (59.419) Prec@5 82.812 (81.069) Epoch: [37][1400/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 2.0034 (1.7902) Prec@1 53.906 (59.421) Prec@5 74.219 (81.060) Epoch: [37][1410/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.6177 (1.7904) Prec@1 67.969 (59.418) Prec@5 83.594 (81.060) Epoch: [37][1420/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 1.7850 (1.7909) Prec@1 54.688 (59.412) Prec@5 84.375 (81.057) Epoch: [37][1430/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.6036 (1.7911) Prec@1 65.625 (59.412) Prec@5 84.375 (81.056) Epoch: [37][1440/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.6423 (1.7906) Prec@1 57.812 (59.416) Prec@5 83.594 (81.056) Epoch: [37][1450/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.4469 (1.7911) Prec@1 69.531 (59.412) Prec@5 82.031 (81.056) Epoch: [37][1460/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.7385 (1.7910) Prec@1 61.719 (59.411) Prec@5 84.375 (81.056) Epoch: [37][1470/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.8626 (1.7910) Prec@1 62.500 (59.420) Prec@5 77.344 (81.064) Epoch: [37][1480/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.2804 (1.7913) Prec@1 52.344 (59.415) Prec@5 78.125 (81.057) /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][1490/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.6816 (1.7920) Prec@1 65.625 (59.391) Prec@5 85.156 (81.051) Epoch: [37][1500/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.5918 (1.7925) Prec@1 61.719 (59.377) Prec@5 85.156 (81.048) Epoch: [37][1510/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.9937 (1.7929) Prec@1 53.906 (59.386) Prec@5 80.469 (81.045) Epoch: [37][1520/10010] Time 0.316 (0.331) Data 0.000 (0.002) Loss 1.6820 (1.7935) Prec@1 66.406 (59.377) Prec@5 82.031 (81.034) Epoch: [37][1530/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 1.5781 (1.7932) Prec@1 62.500 (59.376) Prec@5 82.031 (81.039) Epoch: [37][1540/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.6642 (1.7937) Prec@1 60.938 (59.361) Prec@5 79.688 (81.029) Epoch: [37][1550/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.8258 (1.7933) Prec@1 57.031 (59.371) Prec@5 81.250 (81.027) Epoch: [37][1560/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.8313 (1.7930) Prec@1 57.812 (59.369) Prec@5 78.906 (81.034) Epoch: [37][1570/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.5299 (1.7931) Prec@1 62.500 (59.365) Prec@5 85.156 (81.034) Epoch: [37][1580/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 1.6896 (1.7932) Prec@1 57.812 (59.366) Prec@5 82.812 (81.032) Epoch: [37][1590/10010] Time 0.340 (0.331) Data 0.000 (0.002) Loss 1.6310 (1.7940) Prec@1 60.156 (59.350) Prec@5 82.031 (81.013) Epoch: [37][1600/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.7828 (1.7947) Prec@1 58.594 (59.328) Prec@5 83.594 (81.005) Epoch: [37][1610/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.8124 (1.7947) Prec@1 58.594 (59.318) Prec@5 79.688 (81.005) Epoch: [37][1620/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.8913 (1.7948) Prec@1 55.469 (59.318) Prec@5 78.906 (81.001) Epoch: [37][1630/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.6298 (1.7947) Prec@1 57.812 (59.320) Prec@5 82.031 (81.004) Epoch: [37][1640/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 1.9201 (1.7949) Prec@1 57.031 (59.319) Prec@5 75.781 (80.997) Epoch: [37][1650/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.1484 (1.7943) Prec@1 51.562 (59.325) Prec@5 71.094 (81.006) Epoch: [37][1660/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.9632 (1.7942) Prec@1 57.812 (59.325) Prec@5 77.344 (81.005) Epoch: [37][1670/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 2.0440 (1.7942) Prec@1 56.250 (59.332) Prec@5 78.125 (81.010) Epoch: [37][1680/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.6973 (1.7937) Prec@1 58.594 (59.345) Prec@5 82.812 (81.018) Epoch: [37][1690/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 2.1256 (1.7939) Prec@1 51.562 (59.339) Prec@5 75.781 (81.009) Epoch: [37][1700/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.8584 (1.7936) Prec@1 57.812 (59.345) Prec@5 82.031 (81.014) Epoch: [37][1710/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.6051 (1.7931) Prec@1 63.281 (59.354) Prec@5 83.594 (81.018) Epoch: [37][1720/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.6830 (1.7927) Prec@1 60.938 (59.362) Prec@5 85.156 (81.027) Epoch: [37][1730/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.9137 (1.7928) Prec@1 59.375 (59.356) Prec@5 77.344 (81.027) Epoch: [37][1740/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.9216 (1.7930) Prec@1 61.719 (59.349) Prec@5 78.125 (81.024) Epoch: [37][1750/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.7696 (1.7930) Prec@1 57.812 (59.342) Prec@5 80.469 (81.025) Epoch: [37][1760/10010] Time 0.316 (0.331) Data 0.000 (0.002) Loss 1.5261 (1.7929) Prec@1 63.281 (59.340) Prec@5 85.938 (81.026) Epoch: [37][1770/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.7976 (1.7924) Prec@1 55.469 (59.336) Prec@5 79.688 (81.030) Epoch: [37][1780/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.6836 (1.7925) Prec@1 63.281 (59.324) Prec@5 80.469 (81.029) Epoch: [37][1790/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.7592 (1.7928) Prec@1 56.250 (59.313) Prec@5 79.688 (81.021) Epoch: [37][1800/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.8239 (1.7925) Prec@1 59.375 (59.328) Prec@5 81.250 (81.027) Epoch: [37][1810/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.7278 (1.7923) Prec@1 58.594 (59.333) Prec@5 83.594 (81.029) Epoch: [37][1820/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 2.0153 (1.7925) Prec@1 53.125 (59.317) Prec@5 75.000 (81.029) Epoch: [37][1830/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 2.0230 (1.7927) Prec@1 54.688 (59.313) Prec@5 71.094 (81.024) Epoch: [37][1840/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.1131 (1.7930) Prec@1 48.438 (59.300) Prec@5 75.781 (81.018) Epoch: [37][1850/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 1.8194 (1.7926) Prec@1 60.156 (59.314) Prec@5 81.250 (81.017) Epoch: [37][1860/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.6863 (1.7931) Prec@1 60.938 (59.307) Prec@5 85.156 (81.008) Epoch: [37][1870/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.9604 (1.7935) Prec@1 53.906 (59.302) Prec@5 74.219 (80.995) Epoch: [37][1880/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.7322 (1.7935) Prec@1 55.469 (59.307) Prec@5 82.812 (80.994) Epoch: [37][1890/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 2.0053 (1.7935) Prec@1 58.594 (59.313) Prec@5 78.125 (80.992) Epoch: [37][1900/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.8087 (1.7931) Prec@1 57.812 (59.331) Prec@5 81.250 (80.998) Epoch: [37][1910/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 2.0660 (1.7931) Prec@1 60.938 (59.332) Prec@5 78.125 (80.996) Epoch: [37][1920/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.8094 (1.7931) Prec@1 55.469 (59.330) Prec@5 77.344 (80.997) Epoch: [37][1930/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.7878 (1.7933) Prec@1 57.812 (59.322) Prec@5 79.688 (80.993) Epoch: [37][1940/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.7866 (1.7940) Prec@1 60.156 (59.308) Prec@5 81.250 (80.983) Epoch: [37][1950/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.7978 (1.7940) Prec@1 62.500 (59.311) Prec@5 80.469 (80.983) Epoch: [37][1960/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 1.7680 (1.7938) Prec@1 60.938 (59.310) Prec@5 78.906 (80.986) Epoch: [37][1970/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.8883 (1.7941) Prec@1 60.156 (59.307) Prec@5 78.906 (80.984) Epoch: [37][1980/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.6205 (1.7941) Prec@1 60.938 (59.309) Prec@5 87.500 (80.996) Epoch: [37][1990/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.7266 (1.7942) Prec@1 61.719 (59.303) Prec@5 80.469 (80.995) Epoch: [37][2000/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.6025 (1.7937) Prec@1 65.625 (59.318) Prec@5 85.938 (81.001) Epoch: [37][2010/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.9518 (1.7939) Prec@1 54.688 (59.311) Prec@5 78.125 (81.000) Epoch: [37][2020/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.8155 (1.7941) Prec@1 59.375 (59.302) Prec@5 80.469 (80.992) Epoch: [37][2030/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.9624 (1.7943) Prec@1 55.469 (59.297) Prec@5 75.781 (80.993) Epoch: [37][2040/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.6814 (1.7936) Prec@1 61.719 (59.321) Prec@5 84.375 (81.006) /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: [37][2050/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.8610 (1.7933) Prec@1 63.281 (59.325) Prec@5 75.000 (81.009) Epoch: [37][2060/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.6129 (1.7928) Prec@1 60.156 (59.333) Prec@5 86.719 (81.021) Epoch: [37][2070/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.8936 (1.7930) Prec@1 55.469 (59.322) Prec@5 82.031 (81.022) Epoch: [37][2080/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.8779 (1.7929) Prec@1 58.594 (59.327) Prec@5 78.906 (81.019) Epoch: [37][2090/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.9009 (1.7932) Prec@1 60.156 (59.322) Prec@5 78.906 (81.011) Epoch: [37][2100/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.7474 (1.7930) Prec@1 57.812 (59.322) Prec@5 83.594 (81.018) Epoch: [37][2110/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 1.8085 (1.7927) Prec@1 59.375 (59.327) Prec@5 81.250 (81.024) Epoch: [37][2120/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.9031 (1.7930) Prec@1 56.250 (59.323) Prec@5 80.469 (81.027) Epoch: [37][2130/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.8667 (1.7931) Prec@1 58.594 (59.316) Prec@5 79.688 (81.017) Epoch: [37][2140/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.5150 (1.7928) Prec@1 61.719 (59.323) Prec@5 85.156 (81.016) Epoch: [37][2150/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 2.0109 (1.7928) Prec@1 55.469 (59.318) Prec@5 76.562 (81.015) Epoch: [37][2160/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.7604 (1.7932) Prec@1 59.375 (59.314) Prec@5 79.688 (81.008) Epoch: [37][2170/10010] Time 0.315 (0.331) Data 0.001 (0.002) Loss 1.5707 (1.7933) Prec@1 65.625 (59.309) Prec@5 86.719 (81.006) Epoch: [37][2180/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 1.9183 (1.7936) Prec@1 60.938 (59.309) Prec@5 79.688 (80.995) Epoch: [37][2190/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 2.1087 (1.7937) Prec@1 54.688 (59.308) Prec@5 75.000 (81.000) Epoch: [37][2200/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.7248 (1.7939) Prec@1 65.625 (59.303) Prec@5 82.812 (80.995) Epoch: [37][2210/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.8801 (1.7944) Prec@1 63.281 (59.292) Prec@5 77.344 (80.989) Epoch: [37][2220/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 1.8597 (1.7943) Prec@1 61.719 (59.291) Prec@5 81.250 (80.993) Epoch: [37][2230/10010] Time 0.314 (0.331) Data 0.000 (0.002) Loss 1.3947 (1.7940) Prec@1 63.281 (59.293) Prec@5 89.844 (80.997) Epoch: [37][2240/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.5140 (1.7940) Prec@1 60.938 (59.295) Prec@5 84.375 (81.000) Epoch: [37][2250/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.5653 (1.7940) Prec@1 59.375 (59.294) Prec@5 84.375 (80.998) Epoch: [37][2260/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.8761 (1.7945) Prec@1 61.719 (59.283) Prec@5 79.688 (80.996) Epoch: [37][2270/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.2952 (1.7948) Prec@1 47.656 (59.275) Prec@5 71.094 (80.988) Epoch: [37][2280/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.6735 (1.7949) Prec@1 63.281 (59.274) Prec@5 83.594 (80.988) Epoch: [37][2290/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.7918 (1.7947) Prec@1 60.156 (59.276) Prec@5 80.469 (80.990) Epoch: [37][2300/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.7815 (1.7951) Prec@1 55.469 (59.264) Prec@5 80.469 (80.985) Epoch: [37][2310/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.8005 (1.7945) Prec@1 59.375 (59.274) Prec@5 80.469 (80.995) Epoch: [37][2320/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.8511 (1.7949) Prec@1 60.156 (59.269) Prec@5 76.562 (80.990) Epoch: [37][2330/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 2.0594 (1.7949) Prec@1 52.344 (59.269) Prec@5 75.781 (80.991) Epoch: [37][2340/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 2.2056 (1.7952) Prec@1 53.125 (59.270) Prec@5 75.781 (80.986) Epoch: [37][2350/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.7948 (1.7952) Prec@1 60.156 (59.267) Prec@5 81.250 (80.989) Epoch: [37][2360/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.0560 (1.7952) Prec@1 57.031 (59.262) Prec@5 78.906 (80.990) Epoch: [37][2370/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.4840 (1.7950) Prec@1 65.625 (59.267) Prec@5 84.375 (80.990) Epoch: [37][2380/10010] Time 0.338 (0.331) Data 0.001 (0.002) Loss 1.7036 (1.7950) Prec@1 57.812 (59.268) Prec@5 85.156 (80.994) Epoch: [37][2390/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.8404 (1.7950) Prec@1 57.812 (59.269) Prec@5 75.000 (80.989) Epoch: [37][2400/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.8842 (1.7949) Prec@1 56.250 (59.274) Prec@5 78.125 (80.986) Epoch: [37][2410/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.8820 (1.7951) Prec@1 54.688 (59.261) Prec@5 77.344 (80.981) Epoch: [37][2420/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.6294 (1.7950) Prec@1 60.938 (59.258) Prec@5 84.375 (80.987) Epoch: [37][2430/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 2.0278 (1.7952) Prec@1 51.562 (59.253) Prec@5 75.781 (80.984) Epoch: [37][2440/10010] Time 0.314 (0.331) Data 0.000 (0.002) Loss 1.8396 (1.7950) Prec@1 57.031 (59.250) Prec@5 78.125 (80.984) Epoch: [37][2450/10010] Time 0.316 (0.331) Data 0.000 (0.002) Loss 1.7982 (1.7950) Prec@1 53.125 (59.248) Prec@5 84.375 (80.985) Epoch: [37][2460/10010] Time 0.321 (0.330) Data 0.001 (0.002) Loss 1.6837 (1.7950) Prec@1 61.719 (59.252) Prec@5 84.375 (80.988) Epoch: [37][2470/10010] Time 0.318 (0.330) Data 0.000 (0.002) Loss 1.6731 (1.7949) Prec@1 64.844 (59.257) Prec@5 83.594 (80.990) Epoch: [37][2480/10010] Time 0.324 (0.330) Data 0.000 (0.002) Loss 1.7055 (1.7944) Prec@1 60.938 (59.272) Prec@5 82.031 (81.000) Epoch: [37][2490/10010] Time 0.330 (0.330) Data 0.000 (0.002) Loss 1.5636 (1.7941) Prec@1 63.281 (59.275) Prec@5 82.812 (81.008) Epoch: [37][2500/10010] Time 0.342 (0.330) Data 0.000 (0.002) Loss 1.8415 (1.7942) Prec@1 59.375 (59.271) Prec@5 82.031 (81.008) Epoch: [37][2510/10010] Time 0.350 (0.330) Data 0.000 (0.002) Loss 1.8693 (1.7947) Prec@1 54.688 (59.259) Prec@5 80.469 (81.000) Epoch: [37][2520/10010] Time 0.319 (0.330) Data 0.001 (0.002) Loss 1.7544 (1.7950) Prec@1 62.500 (59.251) Prec@5 78.125 (80.993) Epoch: [37][2530/10010] Time 0.322 (0.330) Data 0.001 (0.002) Loss 1.8570 (1.7952) Prec@1 60.156 (59.246) Prec@5 77.344 (80.990) Epoch: [37][2540/10010] Time 0.315 (0.330) Data 0.001 (0.002) Loss 1.8787 (1.7952) Prec@1 59.375 (59.247) Prec@5 78.125 (80.989) Epoch: [37][2550/10010] Time 0.338 (0.330) Data 0.001 (0.002) Loss 1.8476 (1.7950) Prec@1 57.812 (59.249) Prec@5 78.906 (80.997) Epoch: [37][2560/10010] Time 0.332 (0.330) Data 0.001 (0.002) Loss 1.7524 (1.7956) Prec@1 60.938 (59.235) Prec@5 82.031 (80.984) Epoch: [37][2570/10010] Time 0.326 (0.330) Data 0.001 (0.002) Loss 1.7234 (1.7955) Prec@1 57.031 (59.233) Prec@5 81.250 (80.988) Epoch: [37][2580/10010] Time 0.324 (0.330) Data 0.001 (0.002) Loss 1.7303 (1.7956) Prec@1 57.812 (59.225) Prec@5 81.250 (80.987) Epoch: [37][2590/10010] Time 0.324 (0.330) Data 0.001 (0.002) Loss 1.9315 (1.7956) Prec@1 57.812 (59.223) Prec@5 77.344 (80.982) Epoch: [37][2600/10010] Time 0.327 (0.330) Data 0.001 (0.002) Loss 1.7290 (1.7957) Prec@1 56.250 (59.222) Prec@5 82.812 (80.979) Epoch: [37][2610/10010] Time 0.320 (0.330) Data 0.001 (0.002) Loss 1.6593 (1.7953) Prec@1 60.156 (59.225) Prec@5 82.812 (80.981) Epoch: [37][2620/10010] Time 0.328 (0.330) Data 0.000 (0.002) Loss 1.8207 (1.7951) Prec@1 57.812 (59.221) Prec@5 81.250 (80.986) Epoch: [37][2630/10010] Time 0.342 (0.330) Data 0.000 (0.002) Loss 1.8916 (1.7951) Prec@1 53.125 (59.213) Prec@5 75.781 (80.982) Epoch: [37][2640/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.6001 (1.7947) Prec@1 63.281 (59.219) Prec@5 81.250 (80.989) Epoch: [37][2650/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9030 (1.7949) Prec@1 59.375 (59.216) Prec@5 77.344 (80.986) Epoch: [37][2660/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8359 (1.7949) Prec@1 55.469 (59.214) Prec@5 78.906 (80.985) Epoch: [37][2670/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.8382 (1.7949) Prec@1 55.469 (59.211) Prec@5 79.688 (80.984) Epoch: [37][2680/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.0314 (1.7951) Prec@1 53.125 (59.206) Prec@5 77.344 (80.982) Epoch: [37][2690/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.8412 (1.7953) Prec@1 55.469 (59.199) Prec@5 78.125 (80.979) Epoch: [37][2700/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.9211 (1.7955) Prec@1 47.656 (59.195) Prec@5 83.594 (80.979) Epoch: [37][2710/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.1761 (1.7959) Prec@1 53.125 (59.186) Prec@5 75.000 (80.973) Epoch: [37][2720/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.7823 (1.7959) Prec@1 59.375 (59.193) Prec@5 79.688 (80.972) Epoch: [37][2730/10010] Time 0.312 (0.330) Data 0.001 (0.001) Loss 1.8035 (1.7961) Prec@1 60.156 (59.189) Prec@5 80.469 (80.967) Epoch: [37][2740/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.7862 (1.7963) Prec@1 57.031 (59.182) Prec@5 85.156 (80.965) /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][2750/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.6318 (1.7966) Prec@1 59.375 (59.173) Prec@5 82.812 (80.966) Epoch: [37][2760/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.5604 (1.7965) Prec@1 60.156 (59.178) Prec@5 87.500 (80.965) /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][2770/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.9618 (1.7966) Prec@1 59.375 (59.177) Prec@5 78.125 (80.962) Epoch: [37][2780/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8801 (1.7967) Prec@1 58.594 (59.176) Prec@5 78.906 (80.956) Epoch: [37][2790/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.4178 (1.7965) Prec@1 63.281 (59.180) Prec@5 89.844 (80.961) Epoch: [37][2800/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7404 (1.7967) Prec@1 61.719 (59.176) Prec@5 82.812 (80.962) Epoch: [37][2810/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.2917 (1.7967) Prec@1 51.562 (59.181) Prec@5 73.438 (80.960) /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][2820/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.9832 (1.7967) Prec@1 53.906 (59.176) Prec@5 78.125 (80.960) Epoch: [37][2830/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7231 (1.7968) Prec@1 64.844 (59.179) Prec@5 82.812 (80.958) Epoch: [37][2840/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.9189 (1.7973) Prec@1 54.688 (59.167) Prec@5 78.125 (80.948) Epoch: [37][2850/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7719 (1.7972) Prec@1 59.375 (59.172) Prec@5 82.031 (80.951) Epoch: [37][2860/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.6575 (1.7972) Prec@1 63.281 (59.171) Prec@5 83.594 (80.952) Epoch: [37][2870/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.4882 (1.7971) Prec@1 69.531 (59.170) Prec@5 89.062 (80.956) Epoch: [37][2880/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.6810 (1.7970) Prec@1 61.719 (59.172) Prec@5 84.375 (80.956) Epoch: [37][2890/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.8913 (1.7969) Prec@1 53.906 (59.174) Prec@5 78.125 (80.952) Epoch: [37][2900/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.3340 (1.7969) Prec@1 54.688 (59.173) Prec@5 71.875 (80.953) Epoch: [37][2910/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7690 (1.7967) Prec@1 56.250 (59.174) Prec@5 81.250 (80.956) Epoch: [37][2920/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7127 (1.7969) Prec@1 65.625 (59.173) Prec@5 81.250 (80.951) Epoch: [37][2930/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.9922 (1.7971) Prec@1 53.125 (59.165) Prec@5 77.344 (80.949) Epoch: [37][2940/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.9055 (1.7968) Prec@1 61.719 (59.169) Prec@5 81.250 (80.952) Epoch: [37][2950/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.5772 (1.7966) Prec@1 64.062 (59.170) Prec@5 86.719 (80.954) Epoch: [37][2960/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.5912 (1.7965) Prec@1 57.812 (59.169) Prec@5 84.375 (80.954) Epoch: [37][2970/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.9312 (1.7966) Prec@1 53.125 (59.166) Prec@5 76.562 (80.950) Epoch: [37][2980/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.7004 (1.7965) Prec@1 57.031 (59.170) Prec@5 79.688 (80.949) Epoch: [37][2990/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8385 (1.7966) Prec@1 53.125 (59.172) Prec@5 83.594 (80.945) Epoch: [37][3000/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.0396 (1.7966) Prec@1 52.344 (59.172) Prec@5 78.125 (80.944) Epoch: [37][3010/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.0105 (1.7964) Prec@1 50.781 (59.177) Prec@5 76.562 (80.947) Epoch: [37][3020/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.6838 (1.7960) Prec@1 66.406 (59.189) Prec@5 81.250 (80.949) Epoch: [37][3030/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.5798 (1.7961) Prec@1 64.844 (59.188) Prec@5 82.031 (80.945) Epoch: [37][3040/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.4831 (1.7961) Prec@1 70.312 (59.194) Prec@5 83.594 (80.948) Epoch: [37][3050/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.1354 (1.7962) Prec@1 53.906 (59.194) Prec@5 78.125 (80.945) Epoch: [37][3060/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.6925 (1.7964) Prec@1 59.375 (59.193) Prec@5 84.375 (80.944) Epoch: [37][3070/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7456 (1.7962) Prec@1 60.938 (59.197) Prec@5 82.031 (80.947) Epoch: [37][3080/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.1000 (1.7964) Prec@1 52.344 (59.190) Prec@5 74.219 (80.945) Epoch: [37][3090/10010] Time 0.349 (0.330) Data 0.000 (0.001) Loss 1.7936 (1.7962) Prec@1 56.250 (59.195) Prec@5 75.781 (80.944) Epoch: [37][3100/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.0118 (1.7963) Prec@1 54.688 (59.196) Prec@5 78.906 (80.944) Epoch: [37][3110/10010] Time 0.316 (0.330) Data 0.000 (0.001) Loss 1.8196 (1.7965) Prec@1 61.719 (59.193) Prec@5 81.250 (80.940) Epoch: [37][3120/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8847 (1.7969) Prec@1 60.938 (59.185) Prec@5 80.469 (80.935) Epoch: [37][3130/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.7596 (1.7969) Prec@1 57.812 (59.185) Prec@5 84.375 (80.936) Epoch: [37][3140/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.6830 (1.7969) Prec@1 67.188 (59.186) Prec@5 84.375 (80.938) Epoch: [37][3150/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.7118 (1.7968) Prec@1 59.375 (59.188) Prec@5 86.719 (80.941) Epoch: [37][3160/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.6311 (1.7969) Prec@1 66.406 (59.185) Prec@5 85.938 (80.938) Epoch: [37][3170/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.6892 (1.7971) Prec@1 64.062 (59.187) Prec@5 79.688 (80.932) Epoch: [37][3180/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 2.0223 (1.7972) Prec@1 54.688 (59.182) Prec@5 78.125 (80.930) Epoch: [37][3190/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.8851 (1.7976) Prec@1 58.594 (59.175) Prec@5 75.781 (80.923) Epoch: [37][3200/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.9881 (1.7978) Prec@1 57.031 (59.173) Prec@5 76.562 (80.921) Epoch: [37][3210/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8319 (1.7979) Prec@1 51.562 (59.170) Prec@5 80.469 (80.918) Epoch: [37][3220/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.8243 (1.7977) Prec@1 56.250 (59.170) Prec@5 78.906 (80.925) Epoch: [37][3230/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.8464 (1.7975) Prec@1 53.906 (59.173) Prec@5 84.375 (80.931) Epoch: [37][3240/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.7539 (1.7977) Prec@1 58.594 (59.170) Prec@5 82.812 (80.931) Epoch: [37][3250/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.7808 (1.7978) Prec@1 57.812 (59.168) Prec@5 83.594 (80.928) Epoch: [37][3260/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.0349 (1.7978) Prec@1 54.688 (59.166) Prec@5 75.781 (80.928) Epoch: [37][3270/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.6845 (1.7978) Prec@1 58.594 (59.163) Prec@5 81.250 (80.928) Epoch: [37][3280/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8287 (1.7980) Prec@1 57.031 (59.162) Prec@5 81.250 (80.928) Epoch: [37][3290/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.6831 (1.7979) Prec@1 60.938 (59.165) Prec@5 82.031 (80.933) Epoch: [37][3300/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8588 (1.7981) Prec@1 58.594 (59.161) Prec@5 78.906 (80.930) Epoch: [37][3310/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.7540 (1.7981) Prec@1 58.594 (59.163) Prec@5 82.812 (80.931) Epoch: [37][3320/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.8789 (1.7982) Prec@1 56.250 (59.164) Prec@5 75.781 (80.928) Epoch: [37][3330/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.5195 (1.7983) Prec@1 63.281 (59.167) Prec@5 86.719 (80.929) Epoch: [37][3340/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8592 (1.7981) Prec@1 57.031 (59.169) Prec@5 79.688 (80.932) Epoch: [37][3350/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8179 (1.7979) Prec@1 55.469 (59.171) Prec@5 81.250 (80.937) Epoch: [37][3360/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.5867 (1.7980) Prec@1 67.188 (59.172) Prec@5 84.375 (80.935) Epoch: [37][3370/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8951 (1.7981) Prec@1 53.906 (59.171) Prec@5 82.031 (80.934) Epoch: [37][3380/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.0322 (1.7982) Prec@1 52.344 (59.165) Prec@5 78.906 (80.931) Epoch: [37][3390/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7757 (1.7982) Prec@1 60.156 (59.167) Prec@5 82.031 (80.936) Epoch: [37][3400/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.1052 (1.7982) Prec@1 53.906 (59.168) Prec@5 75.000 (80.935) Epoch: [37][3410/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8363 (1.7984) Prec@1 58.594 (59.165) Prec@5 83.594 (80.935) Epoch: [37][3420/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 2.0246 (1.7983) Prec@1 53.125 (59.164) Prec@5 76.562 (80.934) Epoch: [37][3430/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8511 (1.7985) Prec@1 56.250 (59.160) Prec@5 80.469 (80.933) Epoch: [37][3440/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7302 (1.7989) Prec@1 58.594 (59.151) Prec@5 83.594 (80.927) Epoch: [37][3450/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.0220 (1.7989) Prec@1 53.906 (59.146) Prec@5 78.906 (80.925) Epoch: [37][3460/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 2.0582 (1.7990) Prec@1 59.375 (59.142) Prec@5 77.344 (80.923) Epoch: [37][3470/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.5127 (1.7990) Prec@1 62.500 (59.138) Prec@5 87.500 (80.925) Epoch: [37][3480/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7432 (1.7989) Prec@1 64.844 (59.141) Prec@5 82.031 (80.925) Epoch: [37][3490/10010] Time 0.349 (0.330) Data 0.001 (0.001) Loss 1.7972 (1.7989) Prec@1 55.469 (59.140) Prec@5 79.688 (80.923) Epoch: [37][3500/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.7084 (1.7990) Prec@1 60.156 (59.142) Prec@5 80.469 (80.920) Epoch: [37][3510/10010] Time 0.346 (0.330) Data 0.001 (0.001) Loss 1.6888 (1.7990) Prec@1 60.938 (59.143) Prec@5 85.938 (80.923) Epoch: [37][3520/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7869 (1.7992) Prec@1 57.031 (59.139) Prec@5 82.812 (80.921) Epoch: [37][3530/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7577 (1.7992) Prec@1 55.469 (59.138) Prec@5 82.031 (80.920) Epoch: [37][3540/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.9476 (1.7994) Prec@1 53.125 (59.132) Prec@5 75.000 (80.917) Epoch: [37][3550/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.6493 (1.7993) Prec@1 65.625 (59.130) Prec@5 82.031 (80.916) Epoch: [37][3560/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.8311 (1.7993) Prec@1 55.469 (59.132) Prec@5 77.344 (80.915) Epoch: [37][3570/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.8126 (1.7992) Prec@1 59.375 (59.135) Prec@5 79.688 (80.918) Epoch: [37][3580/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.7816 (1.7990) Prec@1 56.250 (59.136) Prec@5 80.469 (80.923) Epoch: [37][3590/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.5657 (1.7987) Prec@1 64.062 (59.141) Prec@5 85.938 (80.925) Epoch: [37][3600/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.6397 (1.7987) Prec@1 60.938 (59.139) Prec@5 84.375 (80.925) Epoch: [37][3610/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.8009 (1.7987) Prec@1 60.938 (59.137) Prec@5 81.250 (80.928) Epoch: [37][3620/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9731 (1.7986) Prec@1 57.031 (59.134) Prec@5 79.688 (80.927) Epoch: [37][3630/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.9831 (1.7988) Prec@1 51.562 (59.134) Prec@5 76.562 (80.923) Epoch: [37][3640/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.8178 (1.7988) Prec@1 60.156 (59.138) Prec@5 81.250 (80.923) Epoch: [37][3650/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.6024 (1.7985) Prec@1 60.156 (59.141) Prec@5 82.812 (80.926) /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: [37][3660/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.1376 (1.7986) Prec@1 50.781 (59.136) Prec@5 75.781 (80.927) Epoch: [37][3670/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8320 (1.7987) Prec@1 51.562 (59.133) Prec@5 81.250 (80.927) Epoch: [37][3680/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8252 (1.7986) Prec@1 57.812 (59.132) Prec@5 80.469 (80.929) Epoch: [37][3690/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.4752 (1.7985) Prec@1 65.625 (59.131) Prec@5 86.719 (80.931) Epoch: [37][3700/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.7358 (1.7985) Prec@1 62.500 (59.134) Prec@5 82.812 (80.929) Epoch: [37][3710/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.6715 (1.7986) Prec@1 60.938 (59.129) Prec@5 83.594 (80.927) Epoch: [37][3720/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.7857 (1.7987) Prec@1 53.125 (59.127) Prec@5 82.812 (80.926) Epoch: [37][3730/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7054 (1.7986) Prec@1 59.375 (59.130) Prec@5 82.812 (80.927) Epoch: [37][3740/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.1538 (1.7987) Prec@1 51.562 (59.129) Prec@5 73.438 (80.925) Epoch: [37][3750/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.7729 (1.7987) Prec@1 57.812 (59.128) Prec@5 79.688 (80.921) Epoch: [37][3760/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7765 (1.7989) Prec@1 60.156 (59.127) Prec@5 78.906 (80.916) Epoch: [37][3770/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.9009 (1.7988) Prec@1 64.062 (59.129) Prec@5 78.906 (80.917) Epoch: [37][3780/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.1494 (1.7987) Prec@1 51.562 (59.128) Prec@5 72.656 (80.920) Epoch: [37][3790/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.7227 (1.7985) Prec@1 59.375 (59.133) Prec@5 84.375 (80.922) Epoch: [37][3800/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.0643 (1.7987) Prec@1 48.438 (59.125) Prec@5 80.469 (80.918) Epoch: [37][3810/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.7435 (1.7985) Prec@1 63.281 (59.132) Prec@5 82.031 (80.921) Epoch: [37][3820/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5183 (1.7984) Prec@1 67.188 (59.139) Prec@5 88.281 (80.922) Epoch: [37][3830/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.9187 (1.7984) Prec@1 57.812 (59.143) Prec@5 75.781 (80.920) Epoch: [37][3840/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.1828 (1.7987) Prec@1 50.000 (59.136) Prec@5 73.438 (80.915) Epoch: [37][3850/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.9343 (1.7988) Prec@1 57.031 (59.133) Prec@5 82.812 (80.915) Epoch: [37][3860/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.7558 (1.7986) Prec@1 59.375 (59.134) Prec@5 82.812 (80.917) Epoch: [37][3870/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.0830 (1.7986) Prec@1 51.562 (59.130) Prec@5 75.000 (80.914) Epoch: [37][3880/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.7414 (1.7984) Prec@1 67.188 (59.134) Prec@5 80.469 (80.916) Epoch: [37][3890/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.7704 (1.7985) Prec@1 57.812 (59.129) Prec@5 81.250 (80.914) Epoch: [37][3900/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9996 (1.7986) Prec@1 57.031 (59.131) Prec@5 77.344 (80.916) Epoch: [37][3910/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.9029 (1.7986) Prec@1 58.594 (59.129) Prec@5 81.250 (80.918) Epoch: [37][3920/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.9722 (1.7985) Prec@1 53.125 (59.130) Prec@5 78.125 (80.919) Epoch: [37][3930/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.8371 (1.7986) Prec@1 57.812 (59.130) Prec@5 81.250 (80.919) Epoch: [37][3940/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.5855 (1.7986) Prec@1 59.375 (59.127) Prec@5 85.156 (80.918) Epoch: [37][3950/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.7210 (1.7987) Prec@1 57.812 (59.124) Prec@5 86.719 (80.918) Epoch: [37][3960/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7737 (1.7986) Prec@1 55.469 (59.124) Prec@5 76.562 (80.918) Epoch: [37][3970/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.1160 (1.7986) Prec@1 57.031 (59.126) Prec@5 78.125 (80.919) Epoch: [37][3980/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.7443 (1.7985) Prec@1 60.156 (59.124) Prec@5 81.250 (80.919) Epoch: [37][3990/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.1113 (1.7989) Prec@1 55.469 (59.119) Prec@5 73.438 (80.913) Epoch: [37][4000/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.5959 (1.7986) Prec@1 64.062 (59.125) Prec@5 85.938 (80.918) Epoch: [37][4010/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.9051 (1.7987) Prec@1 58.594 (59.120) Prec@5 78.906 (80.917) Epoch: [37][4020/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.4860 (1.7988) Prec@1 64.844 (59.124) Prec@5 84.375 (80.914) Epoch: [37][4030/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8593 (1.7991) Prec@1 60.156 (59.120) Prec@5 78.906 (80.908) Epoch: [37][4040/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.6371 (1.7993) Prec@1 62.500 (59.118) Prec@5 83.594 (80.904) Epoch: [37][4050/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.5944 (1.7993) Prec@1 59.375 (59.116) Prec@5 84.375 (80.902) Epoch: [37][4060/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.2982 (1.7989) Prec@1 69.531 (59.123) Prec@5 85.938 (80.909) Epoch: [37][4070/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.8834 (1.7989) Prec@1 57.031 (59.125) Prec@5 80.469 (80.907) Epoch: [37][4080/10010] Time 0.314 (0.330) Data 0.001 (0.001) Loss 1.6461 (1.7990) Prec@1 60.938 (59.124) Prec@5 83.594 (80.908) Epoch: [37][4090/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.5869 (1.7991) Prec@1 59.375 (59.127) Prec@5 85.938 (80.908) Epoch: [37][4100/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7855 (1.7990) Prec@1 57.812 (59.128) Prec@5 81.250 (80.910) Epoch: [37][4110/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.9402 (1.7992) Prec@1 55.469 (59.120) Prec@5 80.469 (80.909) Epoch: [37][4120/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.8140 (1.7990) Prec@1 57.031 (59.119) Prec@5 82.812 (80.911) Epoch: [37][4130/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8166 (1.7992) Prec@1 60.938 (59.118) Prec@5 78.906 (80.905) Epoch: [37][4140/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.0092 (1.7992) Prec@1 60.938 (59.119) Prec@5 76.562 (80.904) Epoch: [37][4150/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.6562 (1.7992) Prec@1 58.594 (59.116) Prec@5 84.375 (80.905) Epoch: [37][4160/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.1181 (1.7992) Prec@1 52.344 (59.119) Prec@5 71.875 (80.902) Epoch: [37][4170/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.5399 (1.7992) Prec@1 64.844 (59.113) Prec@5 85.938 (80.902) Epoch: [37][4180/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.6897 (1.7995) Prec@1 57.812 (59.104) Prec@5 80.469 (80.896) Epoch: [37][4190/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.4438 (1.7994) Prec@1 66.406 (59.107) Prec@5 86.719 (80.896) Epoch: [37][4200/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8360 (1.7998) Prec@1 61.719 (59.098) Prec@5 82.031 (80.891) Epoch: [37][4210/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7589 (1.7997) Prec@1 59.375 (59.103) Prec@5 80.469 (80.893) Epoch: [37][4220/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 1.8922 (1.7998) Prec@1 57.812 (59.100) Prec@5 80.469 (80.888) Epoch: [37][4230/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.8125 (1.7999) Prec@1 59.375 (59.101) Prec@5 81.250 (80.889) Epoch: [37][4240/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.9507 (1.8000) Prec@1 59.375 (59.103) Prec@5 79.688 (80.885) Epoch: [37][4250/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.4280 (1.7999) Prec@1 64.844 (59.102) Prec@5 86.719 (80.888) Epoch: [37][4260/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9957 (1.8001) Prec@1 56.250 (59.095) Prec@5 79.688 (80.885) Epoch: [37][4270/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9364 (1.8002) Prec@1 53.906 (59.090) Prec@5 75.000 (80.885) Epoch: [37][4280/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8421 (1.8003) Prec@1 56.250 (59.087) Prec@5 76.562 (80.881) Epoch: [37][4290/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5516 (1.8002) Prec@1 62.500 (59.086) Prec@5 83.594 (80.883) Epoch: [37][4300/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.7469 (1.8001) Prec@1 61.719 (59.089) Prec@5 81.250 (80.887) Epoch: [37][4310/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.6956 (1.8002) Prec@1 64.062 (59.089) Prec@5 81.250 (80.882) Epoch: [37][4320/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.6338 (1.8002) Prec@1 64.062 (59.088) Prec@5 82.031 (80.881) Epoch: [37][4330/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7908 (1.8001) Prec@1 56.250 (59.089) Prec@5 78.125 (80.881) Epoch: [37][4340/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7949 (1.8001) Prec@1 59.375 (59.090) Prec@5 81.250 (80.877) Epoch: [37][4350/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7482 (1.8000) Prec@1 60.156 (59.094) Prec@5 82.031 (80.881) Epoch: [37][4360/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.8182 (1.8000) Prec@1 56.250 (59.093) Prec@5 76.562 (80.880) Epoch: [37][4370/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.6762 (1.8000) Prec@1 61.719 (59.093) Prec@5 85.938 (80.881) Epoch: [37][4380/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.8309 (1.7999) Prec@1 60.938 (59.094) Prec@5 81.250 (80.886) Epoch: [37][4390/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.6764 (1.7998) Prec@1 65.625 (59.099) Prec@5 84.375 (80.887) Epoch: [37][4400/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.8878 (1.7999) Prec@1 57.812 (59.099) Prec@5 78.906 (80.883) Epoch: [37][4410/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 1.6785 (1.7999) Prec@1 58.594 (59.100) Prec@5 81.250 (80.884) Epoch: [37][4420/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.7936 (1.8001) Prec@1 57.812 (59.095) Prec@5 78.125 (80.880) Epoch: [37][4430/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.6810 (1.7999) Prec@1 59.375 (59.096) Prec@5 87.500 (80.883) Epoch: [37][4440/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.6383 (1.8001) Prec@1 60.156 (59.092) Prec@5 82.031 (80.880) Epoch: [37][4450/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.4579 (1.7997) Prec@1 66.406 (59.097) Prec@5 86.719 (80.885) Epoch: [37][4460/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.6603 (1.7996) Prec@1 60.938 (59.099) Prec@5 81.250 (80.886) Epoch: [37][4470/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.0918 (1.7997) Prec@1 54.688 (59.096) Prec@5 76.562 (80.883) Epoch: [37][4480/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.6663 (1.7998) Prec@1 61.719 (59.097) Prec@5 82.031 (80.882) Epoch: [37][4490/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9160 (1.8000) Prec@1 56.250 (59.098) Prec@5 81.250 (80.880) Epoch: [37][4500/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.5142 (1.7999) Prec@1 59.375 (59.098) Prec@5 87.500 (80.882) Epoch: [37][4510/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.7656 (1.7997) Prec@1 57.812 (59.101) Prec@5 81.250 (80.885) Epoch: [37][4520/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.6588 (1.7996) Prec@1 56.250 (59.100) Prec@5 85.156 (80.886) Epoch: [37][4530/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.8502 (1.7995) Prec@1 60.156 (59.101) Prec@5 78.125 (80.888) Epoch: [37][4540/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.4013 (1.7996) Prec@1 61.719 (59.097) Prec@5 87.500 (80.888) Epoch: [37][4550/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.6967 (1.7994) Prec@1 58.594 (59.099) Prec@5 85.156 (80.894) Epoch: [37][4560/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.0783 (1.7994) Prec@1 46.094 (59.094) Prec@5 75.000 (80.893) Epoch: [37][4570/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9520 (1.7995) Prec@1 57.031 (59.096) Prec@5 75.781 (80.891) Epoch: [37][4580/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.6182 (1.7996) Prec@1 57.812 (59.092) Prec@5 86.719 (80.889) Epoch: [37][4590/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.7853 (1.7994) Prec@1 61.719 (59.095) Prec@5 82.031 (80.891) Epoch: [37][4600/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.6805 (1.7993) Prec@1 64.062 (59.096) Prec@5 84.375 (80.892) Epoch: [37][4610/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.0098 (1.7993) Prec@1 53.125 (59.095) Prec@5 82.031 (80.892) Epoch: [37][4620/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.6603 (1.7993) Prec@1 61.719 (59.094) Prec@5 82.812 (80.893) Epoch: [37][4630/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.7732 (1.7991) Prec@1 56.250 (59.100) Prec@5 81.250 (80.893) Epoch: [37][4640/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.6327 (1.7991) Prec@1 65.625 (59.097) Prec@5 83.594 (80.893) Epoch: [37][4650/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.8453 (1.7990) Prec@1 60.156 (59.099) Prec@5 78.125 (80.895) Epoch: [37][4660/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8503 (1.7990) Prec@1 60.156 (59.100) Prec@5 81.250 (80.894) Epoch: [37][4670/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.6981 (1.7990) Prec@1 59.375 (59.101) Prec@5 84.375 (80.895) Epoch: [37][4680/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8476 (1.7987) Prec@1 61.719 (59.109) Prec@5 81.250 (80.900) Epoch: [37][4690/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.7646 (1.7988) Prec@1 61.719 (59.105) Prec@5 80.469 (80.898) Epoch: [37][4700/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.7236 (1.7990) Prec@1 60.156 (59.103) Prec@5 82.031 (80.896) Epoch: [37][4710/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.8394 (1.7989) Prec@1 57.031 (59.099) Prec@5 80.469 (80.897) Epoch: [37][4720/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.6305 (1.7987) Prec@1 58.594 (59.103) Prec@5 85.156 (80.903) Epoch: [37][4730/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8406 (1.7987) Prec@1 57.812 (59.100) Prec@5 76.562 (80.902) Epoch: [37][4740/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.8484 (1.7987) Prec@1 58.594 (59.101) Prec@5 78.906 (80.902) Epoch: [37][4750/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8075 (1.7986) Prec@1 59.375 (59.100) Prec@5 79.688 (80.902) Epoch: [37][4760/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.0492 (1.7989) Prec@1 53.906 (59.097) Prec@5 78.125 (80.898) Epoch: [37][4770/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.9482 (1.7989) Prec@1 55.469 (59.095) Prec@5 78.906 (80.897) Epoch: [37][4780/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.7280 (1.7988) Prec@1 60.156 (59.096) Prec@5 81.250 (80.898) Epoch: [37][4790/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.7432 (1.7988) Prec@1 64.062 (59.096) Prec@5 79.688 (80.899) Epoch: [37][4800/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.4946 (1.7987) Prec@1 69.531 (59.099) Prec@5 84.375 (80.897) Epoch: [37][4810/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.5588 (1.7988) Prec@1 67.188 (59.101) Prec@5 82.031 (80.894) Epoch: [37][4820/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6494 (1.7987) Prec@1 60.156 (59.101) Prec@5 88.281 (80.898) Epoch: [37][4830/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.7946 (1.7989) Prec@1 60.938 (59.098) Prec@5 80.469 (80.894) Epoch: [37][4840/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7918 (1.7991) Prec@1 57.031 (59.094) Prec@5 80.469 (80.892) Epoch: [37][4850/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 2.0294 (1.7991) Prec@1 53.125 (59.095) Prec@5 76.562 (80.892) Epoch: [37][4860/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.6265 (1.7991) Prec@1 60.938 (59.094) Prec@5 83.594 (80.890) Epoch: [37][4870/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.3720 (1.7990) Prec@1 70.312 (59.096) Prec@5 88.281 (80.891) Epoch: [37][4880/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.7105 (1.7991) Prec@1 59.375 (59.094) Prec@5 84.375 (80.891) Epoch: [37][4890/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9937 (1.7994) Prec@1 55.469 (59.088) Prec@5 76.562 (80.887) Epoch: [37][4900/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.0464 (1.7994) Prec@1 53.906 (59.086) Prec@5 79.688 (80.887) Epoch: [37][4910/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9255 (1.7994) Prec@1 56.250 (59.084) Prec@5 78.125 (80.886) Epoch: [37][4920/10010] Time 0.316 (0.330) Data 0.000 (0.001) Loss 1.8614 (1.7993) Prec@1 60.938 (59.086) Prec@5 76.562 (80.888) Epoch: [37][4930/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9533 (1.7994) Prec@1 54.688 (59.084) Prec@5 78.906 (80.886) Epoch: [37][4940/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.8484 (1.7997) Prec@1 61.719 (59.077) Prec@5 80.469 (80.883) Epoch: [37][4950/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7464 (1.7998) Prec@1 58.594 (59.075) Prec@5 80.469 (80.879) Epoch: [37][4960/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.8113 (1.7999) Prec@1 58.594 (59.075) Prec@5 77.344 (80.876) Epoch: [37][4970/10010] Time 0.351 (0.330) Data 0.000 (0.001) Loss 1.6489 (1.7998) Prec@1 60.938 (59.074) Prec@5 81.250 (80.879) Epoch: [37][4980/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6638 (1.7999) Prec@1 61.719 (59.070) Prec@5 79.688 (80.879) Epoch: [37][4990/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.6580 (1.7999) Prec@1 61.719 (59.072) Prec@5 80.469 (80.879) Epoch: [37][5000/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.1329 (1.8000) Prec@1 58.594 (59.069) Prec@5 75.000 (80.877) Epoch: [37][5010/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6848 (1.7999) Prec@1 57.031 (59.070) Prec@5 76.562 (80.878) Epoch: [37][5020/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.0418 (1.8001) Prec@1 60.156 (59.066) Prec@5 75.781 (80.874) Epoch: [37][5030/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8308 (1.8001) Prec@1 58.594 (59.065) Prec@5 82.031 (80.875) Epoch: [37][5040/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.6521 (1.8000) Prec@1 63.281 (59.067) Prec@5 82.812 (80.878) Epoch: [37][5050/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7277 (1.8000) Prec@1 59.375 (59.066) Prec@5 82.812 (80.878) Epoch: [37][5060/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5322 (1.7997) Prec@1 66.406 (59.069) Prec@5 82.031 (80.882) Epoch: [37][5070/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.6573 (1.7997) Prec@1 62.500 (59.070) Prec@5 85.938 (80.883) Epoch: [37][5080/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 2.2055 (1.8001) Prec@1 54.688 (59.066) Prec@5 71.875 (80.877) Epoch: [37][5090/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.8644 (1.8001) Prec@1 65.625 (59.068) Prec@5 82.812 (80.878) Epoch: [37][5100/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.5733 (1.7998) Prec@1 65.625 (59.077) Prec@5 85.938 (80.883) Epoch: [37][5110/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7948 (1.7996) Prec@1 57.812 (59.080) Prec@5 82.812 (80.887) Epoch: [37][5120/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8945 (1.7996) Prec@1 54.688 (59.079) Prec@5 78.906 (80.884) Epoch: [37][5130/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.6766 (1.7996) Prec@1 58.594 (59.079) Prec@5 78.906 (80.884) Epoch: [37][5140/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.6411 (1.7995) Prec@1 60.156 (59.080) Prec@5 83.594 (80.885) Epoch: [37][5150/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.9408 (1.7997) Prec@1 52.344 (59.080) Prec@5 78.125 (80.882) Epoch: [37][5160/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.8474 (1.7997) Prec@1 53.906 (59.078) Prec@5 78.906 (80.881) Epoch: [37][5170/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.7324 (1.7998) Prec@1 62.500 (59.074) Prec@5 80.469 (80.882) Epoch: [37][5180/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8174 (1.7999) Prec@1 60.938 (59.071) Prec@5 78.125 (80.877) Epoch: [37][5190/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.5393 (1.7999) Prec@1 60.938 (59.074) Prec@5 85.156 (80.880) Epoch: [37][5200/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6749 (1.7998) Prec@1 63.281 (59.075) Prec@5 78.906 (80.882) Epoch: [37][5210/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.6394 (1.7998) Prec@1 57.812 (59.076) Prec@5 81.250 (80.882) Epoch: [37][5220/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.9356 (1.7999) Prec@1 57.031 (59.074) Prec@5 80.469 (80.882) Epoch: [37][5230/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.6567 (1.7998) Prec@1 63.281 (59.073) Prec@5 81.250 (80.881) Epoch: [37][5240/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.7879 (1.7999) Prec@1 60.156 (59.072) Prec@5 83.594 (80.881) Epoch: [37][5250/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.6781 (1.7999) Prec@1 60.156 (59.071) Prec@5 81.250 (80.881) Epoch: [37][5260/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 1.8156 (1.7999) Prec@1 60.938 (59.073) Prec@5 79.688 (80.879) Epoch: [37][5270/10010] Time 0.314 (0.330) Data 0.000 (0.001) Loss 1.9811 (1.8000) Prec@1 57.031 (59.076) Prec@5 80.469 (80.880) Epoch: [37][5280/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.8605 (1.7998) Prec@1 53.125 (59.079) Prec@5 79.688 (80.883) Epoch: [37][5290/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.7488 (1.7997) Prec@1 57.812 (59.080) Prec@5 75.000 (80.883) Epoch: [37][5300/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.5973 (1.7998) Prec@1 63.281 (59.080) Prec@5 84.375 (80.881) Epoch: [37][5310/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8696 (1.7998) Prec@1 53.906 (59.080) Prec@5 76.562 (80.880) Epoch: [37][5320/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.6586 (1.8000) Prec@1 61.719 (59.074) Prec@5 84.375 (80.877) Epoch: [37][5330/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.7798 (1.8001) Prec@1 53.906 (59.071) Prec@5 78.906 (80.876) Epoch: [37][5340/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.0139 (1.8001) Prec@1 54.688 (59.070) Prec@5 77.344 (80.877) Epoch: [37][5350/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.8676 (1.8002) Prec@1 60.156 (59.069) Prec@5 80.469 (80.875) Epoch: [37][5360/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.7369 (1.8004) Prec@1 59.375 (59.063) Prec@5 82.031 (80.874) Epoch: [37][5370/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.7842 (1.8004) Prec@1 59.375 (59.063) Prec@5 78.125 (80.872) Epoch: [37][5380/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9581 (1.8004) Prec@1 59.375 (59.062) Prec@5 78.906 (80.870) Epoch: [37][5390/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.5301 (1.8005) Prec@1 67.188 (59.063) Prec@5 85.938 (80.867) Epoch: [37][5400/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.9856 (1.8006) Prec@1 56.250 (59.064) Prec@5 77.344 (80.867) Epoch: [37][5410/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.5900 (1.8005) Prec@1 66.406 (59.064) Prec@5 78.906 (80.866) Epoch: [37][5420/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.5372 (1.8008) Prec@1 60.938 (59.058) Prec@5 84.375 (80.864) Epoch: [37][5430/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.7482 (1.8008) Prec@1 61.719 (59.061) Prec@5 84.375 (80.866) Epoch: [37][5440/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8814 (1.8007) Prec@1 58.594 (59.061) Prec@5 75.781 (80.865) Epoch: [37][5450/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8356 (1.8007) Prec@1 57.812 (59.064) Prec@5 74.219 (80.863) Epoch: [37][5460/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.8129 (1.8009) Prec@1 59.375 (59.059) Prec@5 82.812 (80.859) Epoch: [37][5470/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.8943 (1.8010) Prec@1 58.594 (59.061) Prec@5 80.469 (80.857) Epoch: [37][5480/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.7856 (1.8011) Prec@1 63.281 (59.061) Prec@5 81.250 (80.855) Epoch: [37][5490/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9121 (1.8011) Prec@1 51.562 (59.059) Prec@5 83.594 (80.854) Epoch: [37][5500/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.6632 (1.8012) Prec@1 65.625 (59.059) Prec@5 83.594 (80.851) Epoch: [37][5510/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8234 (1.8011) Prec@1 62.500 (59.062) Prec@5 82.031 (80.850) Epoch: [37][5520/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.0595 (1.8012) Prec@1 55.469 (59.060) Prec@5 78.906 (80.850) Epoch: [37][5530/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.6547 (1.8013) Prec@1 56.250 (59.056) Prec@5 85.156 (80.848) Epoch: [37][5540/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.6452 (1.8013) Prec@1 67.188 (59.054) Prec@5 83.594 (80.846) Epoch: [37][5550/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.6360 (1.8011) Prec@1 65.625 (59.059) Prec@5 82.812 (80.849) Epoch: [37][5560/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.9422 (1.8011) Prec@1 60.938 (59.062) Prec@5 79.688 (80.848) Epoch: [37][5570/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.9449 (1.8014) Prec@1 53.906 (59.059) Prec@5 76.562 (80.846) Epoch: [37][5580/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.8529 (1.8015) Prec@1 60.156 (59.055) Prec@5 78.125 (80.844) Epoch: [37][5590/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.8156 (1.8015) Prec@1 59.375 (59.053) Prec@5 82.812 (80.845) Epoch: [37][5600/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.6384 (1.8014) Prec@1 60.156 (59.056) Prec@5 82.031 (80.845) Epoch: [37][5610/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 2.0304 (1.8014) Prec@1 57.031 (59.057) Prec@5 77.344 (80.846) Epoch: [37][5620/10010] Time 0.314 (0.330) Data 0.001 (0.001) Loss 1.8037 (1.8014) Prec@1 59.375 (59.056) Prec@5 81.250 (80.846) Epoch: [37][5630/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6816 (1.8014) Prec@1 60.938 (59.058) Prec@5 82.812 (80.847) Epoch: [37][5640/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7550 (1.8013) Prec@1 57.031 (59.058) Prec@5 84.375 (80.847) Epoch: [37][5650/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.9870 (1.8013) Prec@1 53.906 (59.058) Prec@5 78.906 (80.848) Epoch: [37][5660/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8163 (1.8014) Prec@1 53.906 (59.055) Prec@5 79.688 (80.848) Epoch: [37][5670/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.1186 (1.8017) Prec@1 56.250 (59.052) Prec@5 75.000 (80.843) Epoch: [37][5680/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7386 (1.8017) Prec@1 60.156 (59.049) Prec@5 80.469 (80.845) Epoch: [37][5690/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7905 (1.8017) Prec@1 60.156 (59.051) Prec@5 84.375 (80.848) Epoch: [37][5700/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.7222 (1.8016) Prec@1 64.844 (59.053) Prec@5 78.906 (80.846) Epoch: [37][5710/10010] Time 0.306 (0.330) Data 0.000 (0.001) Loss 1.6557 (1.8016) Prec@1 63.281 (59.056) Prec@5 85.156 (80.847) Epoch: [37][5720/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.8222 (1.8016) Prec@1 62.500 (59.057) Prec@5 78.125 (80.846) Epoch: [37][5730/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.6636 (1.8017) Prec@1 61.719 (59.056) Prec@5 79.688 (80.844) Epoch: [37][5740/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6308 (1.8014) Prec@1 64.062 (59.063) Prec@5 82.812 (80.848) Epoch: [37][5750/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.8024 (1.8014) Prec@1 57.031 (59.062) Prec@5 79.688 (80.846) Epoch: [37][5760/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6345 (1.8011) Prec@1 66.406 (59.069) Prec@5 82.812 (80.850) Epoch: [37][5770/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8508 (1.8013) Prec@1 60.156 (59.067) Prec@5 78.125 (80.846) Epoch: [37][5780/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.0131 (1.8014) Prec@1 50.781 (59.060) Prec@5 78.125 (80.840) Epoch: [37][5790/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.5895 (1.8014) Prec@1 60.156 (59.057) Prec@5 84.375 (80.841) Epoch: [37][5800/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.1118 (1.8015) Prec@1 55.469 (59.055) Prec@5 72.656 (80.839) Epoch: [37][5810/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.0899 (1.8015) Prec@1 50.781 (59.056) Prec@5 77.344 (80.839) Epoch: [37][5820/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.5555 (1.8016) Prec@1 62.500 (59.051) Prec@5 85.156 (80.838) Epoch: [37][5830/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7763 (1.8015) Prec@1 57.031 (59.054) Prec@5 85.156 (80.838) Epoch: [37][5840/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.7497 (1.8014) Prec@1 58.594 (59.056) Prec@5 83.594 (80.839) Epoch: [37][5850/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 2.0302 (1.8014) Prec@1 52.344 (59.055) Prec@5 78.125 (80.840) Epoch: [37][5860/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.5507 (1.8015) Prec@1 60.938 (59.053) Prec@5 84.375 (80.838) Epoch: [37][5870/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5740 (1.8013) Prec@1 65.625 (59.056) Prec@5 83.594 (80.839) Epoch: [37][5880/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.0404 (1.8014) Prec@1 52.344 (59.055) Prec@5 77.344 (80.838) Epoch: [37][5890/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7604 (1.8015) Prec@1 58.594 (59.054) Prec@5 85.938 (80.839) Epoch: [37][5900/10010] Time 0.309 (0.330) Data 0.000 (0.001) Loss 2.3205 (1.8016) Prec@1 50.000 (59.053) Prec@5 72.656 (80.836) Epoch: [37][5910/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8259 (1.8016) Prec@1 57.812 (59.051) Prec@5 76.562 (80.835) Epoch: [37][5920/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 2.1138 (1.8015) Prec@1 56.250 (59.053) Prec@5 76.562 (80.835) Epoch: [37][5930/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.7187 (1.8015) Prec@1 63.281 (59.051) Prec@5 80.469 (80.835) Epoch: [37][5940/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.7419 (1.8014) Prec@1 58.594 (59.054) Prec@5 78.906 (80.835) Epoch: [37][5950/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.7368 (1.8015) Prec@1 63.281 (59.053) Prec@5 79.688 (80.833) Epoch: [37][5960/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.5566 (1.8016) Prec@1 63.281 (59.052) Prec@5 85.938 (80.832) Epoch: [37][5970/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9311 (1.8017) Prec@1 57.031 (59.049) Prec@5 78.906 (80.833) Epoch: [37][5980/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.6077 (1.8018) Prec@1 65.625 (59.045) Prec@5 82.812 (80.833) Epoch: [37][5990/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9861 (1.8019) Prec@1 57.812 (59.043) Prec@5 75.781 (80.830) Epoch: [37][6000/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.1458 (1.8019) Prec@1 51.562 (59.044) Prec@5 73.438 (80.832) Epoch: [37][6010/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8250 (1.8020) Prec@1 56.250 (59.046) Prec@5 78.906 (80.829) Epoch: [37][6020/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.5352 (1.8019) Prec@1 64.844 (59.047) Prec@5 83.594 (80.830) Epoch: [37][6030/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.5791 (1.8018) Prec@1 64.062 (59.052) Prec@5 84.375 (80.833) Epoch: [37][6040/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.6910 (1.8016) Prec@1 62.500 (59.056) Prec@5 85.938 (80.837) Epoch: [37][6050/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.1189 (1.8017) Prec@1 55.469 (59.056) Prec@5 71.875 (80.834) Epoch: [37][6060/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 2.1667 (1.8016) Prec@1 53.125 (59.057) Prec@5 77.344 (80.836) Epoch: [37][6070/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.2268 (1.8017) Prec@1 50.781 (59.057) Prec@5 74.219 (80.834) Epoch: [37][6080/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9249 (1.8017) Prec@1 57.031 (59.054) Prec@5 78.906 (80.835) Epoch: [37][6090/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9656 (1.8018) Prec@1 57.031 (59.051) Prec@5 85.156 (80.832) Epoch: [37][6100/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.6608 (1.8019) Prec@1 60.938 (59.047) Prec@5 83.594 (80.832) Epoch: [37][6110/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.0162 (1.8020) Prec@1 57.812 (59.043) Prec@5 77.344 (80.830) Epoch: [37][6120/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.6666 (1.8020) Prec@1 60.938 (59.045) Prec@5 83.594 (80.829) Epoch: [37][6130/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.8210 (1.8020) Prec@1 54.688 (59.044) Prec@5 80.469 (80.831) Epoch: [37][6140/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.9793 (1.8021) Prec@1 59.375 (59.045) Prec@5 77.344 (80.830) Epoch: [37][6150/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.7171 (1.8021) Prec@1 61.719 (59.043) Prec@5 80.469 (80.828) Epoch: [37][6160/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.6025 (1.8020) Prec@1 64.062 (59.043) Prec@5 82.812 (80.828) Epoch: [37][6170/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.9817 (1.8020) Prec@1 57.812 (59.046) Prec@5 75.000 (80.827) Epoch: [37][6180/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.8608 (1.8021) Prec@1 55.469 (59.043) Prec@5 75.000 (80.826) Epoch: [37][6190/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.6652 (1.8020) Prec@1 64.844 (59.045) Prec@5 83.594 (80.827) Epoch: [37][6200/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.7453 (1.8020) Prec@1 60.938 (59.043) Prec@5 81.250 (80.828) Epoch: [37][6210/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 2.2498 (1.8021) Prec@1 51.562 (59.040) Prec@5 71.094 (80.826) Epoch: [37][6220/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 2.1496 (1.8020) Prec@1 51.562 (59.040) Prec@5 77.344 (80.827) Epoch: [37][6230/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7549 (1.8021) Prec@1 63.281 (59.040) Prec@5 82.812 (80.828) Epoch: [37][6240/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7804 (1.8021) Prec@1 54.688 (59.038) Prec@5 79.688 (80.827) Epoch: [37][6250/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.9431 (1.8022) Prec@1 57.812 (59.037) Prec@5 78.125 (80.826) Epoch: [37][6260/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.0171 (1.8024) Prec@1 54.688 (59.035) Prec@5 75.000 (80.823) Epoch: [37][6270/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7007 (1.8024) Prec@1 61.719 (59.034) Prec@5 82.031 (80.823) Epoch: [37][6280/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.5816 (1.8023) Prec@1 60.938 (59.037) Prec@5 83.594 (80.824) Epoch: [37][6290/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.6124 (1.8022) Prec@1 64.062 (59.040) Prec@5 85.156 (80.828) Epoch: [37][6300/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.7991 (1.8021) Prec@1 60.156 (59.039) Prec@5 85.156 (80.830) Epoch: [37][6310/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.6507 (1.8023) Prec@1 62.500 (59.034) Prec@5 84.375 (80.826) Epoch: [37][6320/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.9638 (1.8022) Prec@1 57.031 (59.038) Prec@5 79.688 (80.828) Epoch: [37][6330/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.5480 (1.8022) Prec@1 63.281 (59.039) Prec@5 85.156 (80.828) Epoch: [37][6340/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8518 (1.8021) Prec@1 57.031 (59.043) Prec@5 80.469 (80.830) Epoch: [37][6350/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.9011 (1.8022) Prec@1 54.688 (59.041) Prec@5 78.906 (80.829) Epoch: [37][6360/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 2.0967 (1.8022) Prec@1 56.250 (59.041) Prec@5 74.219 (80.828) Epoch: [37][6370/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7747 (1.8023) Prec@1 57.812 (59.038) Prec@5 81.250 (80.827) Epoch: [37][6380/10010] Time 0.316 (0.330) Data 0.000 (0.001) Loss 1.8299 (1.8022) Prec@1 61.719 (59.041) Prec@5 80.469 (80.828) Epoch: [37][6390/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.6607 (1.8024) Prec@1 57.031 (59.037) Prec@5 83.594 (80.825) Epoch: [37][6400/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6782 (1.8025) Prec@1 60.938 (59.034) Prec@5 80.469 (80.823) Epoch: [37][6410/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.1184 (1.8026) Prec@1 53.906 (59.033) Prec@5 75.000 (80.821) Epoch: [37][6420/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.8484 (1.8024) Prec@1 56.250 (59.037) Prec@5 78.906 (80.826) Epoch: [37][6430/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.9504 (1.8025) Prec@1 57.031 (59.033) Prec@5 78.906 (80.824) Epoch: [37][6440/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.8806 (1.8025) Prec@1 59.375 (59.033) Prec@5 81.250 (80.826) Epoch: [37][6450/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6992 (1.8025) Prec@1 56.250 (59.029) Prec@5 80.469 (80.823) Epoch: [37][6460/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.7876 (1.8025) Prec@1 66.406 (59.031) Prec@5 81.250 (80.826) Epoch: [37][6470/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.7441 (1.8025) Prec@1 60.938 (59.032) Prec@5 79.688 (80.824) Epoch: [37][6480/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.7834 (1.8026) Prec@1 61.719 (59.033) Prec@5 77.344 (80.823) Epoch: [37][6490/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.7513 (1.8025) Prec@1 59.375 (59.035) Prec@5 82.812 (80.823) Epoch: [37][6500/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.8506 (1.8026) Prec@1 58.594 (59.033) Prec@5 83.594 (80.821) Epoch: [37][6510/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.7811 (1.8026) Prec@1 57.031 (59.034) Prec@5 78.906 (80.822) Epoch: [37][6520/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.9277 (1.8026) Prec@1 53.906 (59.033) Prec@5 80.469 (80.819) Epoch: [37][6530/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.3587 (1.8025) Prec@1 67.188 (59.034) Prec@5 87.500 (80.821) Epoch: [37][6540/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.6634 (1.8026) Prec@1 62.500 (59.034) Prec@5 79.688 (80.818) Epoch: [37][6550/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.5413 (1.8027) Prec@1 62.500 (59.033) Prec@5 85.156 (80.816) Epoch: [37][6560/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.1402 (1.8028) Prec@1 54.688 (59.030) Prec@5 78.906 (80.814) Epoch: [37][6570/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.9479 (1.8028) Prec@1 52.344 (59.029) Prec@5 78.125 (80.815) Epoch: [37][6580/10010] Time 0.350 (0.330) Data 0.000 (0.001) Loss 2.1808 (1.8029) Prec@1 48.438 (59.029) Prec@5 76.562 (80.815) Epoch: [37][6590/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.7627 (1.8030) Prec@1 63.281 (59.026) Prec@5 80.469 (80.812) Epoch: [37][6600/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.8584 (1.8031) Prec@1 64.844 (59.026) Prec@5 77.344 (80.809) Epoch: [37][6610/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8735 (1.8033) Prec@1 55.469 (59.022) Prec@5 82.812 (80.806) Epoch: [37][6620/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.8772 (1.8033) Prec@1 58.594 (59.019) Prec@5 79.688 (80.805) Epoch: [37][6630/10010] Time 0.315 (0.330) Data 0.000 (0.001) Loss 1.6734 (1.8033) Prec@1 65.625 (59.017) Prec@5 77.344 (80.804) Epoch: [37][6640/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.7371 (1.8035) Prec@1 60.938 (59.017) Prec@5 82.812 (80.803) Epoch: [37][6650/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.7428 (1.8033) Prec@1 58.594 (59.018) Prec@5 81.250 (80.805) Epoch: [37][6660/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.7200 (1.8034) Prec@1 55.469 (59.016) Prec@5 85.156 (80.805) Epoch: [37][6670/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.9158 (1.8034) Prec@1 52.344 (59.014) Prec@5 80.469 (80.806) Epoch: [37][6680/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.5187 (1.8034) Prec@1 67.969 (59.016) Prec@5 85.938 (80.808) Epoch: [37][6690/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.8764 (1.8035) Prec@1 60.156 (59.014) Prec@5 77.344 (80.805) Epoch: [37][6700/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.5987 (1.8036) Prec@1 57.812 (59.010) Prec@5 85.938 (80.804) Epoch: [37][6710/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.7961 (1.8037) Prec@1 60.156 (59.011) Prec@5 78.906 (80.803) Epoch: [37][6720/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.6243 (1.8037) Prec@1 64.062 (59.011) Prec@5 85.938 (80.801) Epoch: [37][6730/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.7615 (1.8037) Prec@1 57.812 (59.013) Prec@5 82.812 (80.802) Epoch: [37][6740/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.7150 (1.8036) Prec@1 56.250 (59.016) Prec@5 85.156 (80.804) Epoch: [37][6750/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.7594 (1.8036) Prec@1 60.938 (59.015) Prec@5 82.031 (80.803) Epoch: [37][6760/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.5718 (1.8035) Prec@1 64.844 (59.018) Prec@5 83.594 (80.805) Epoch: [37][6770/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.9142 (1.8036) Prec@1 55.469 (59.017) Prec@5 78.906 (80.805) Epoch: [37][6780/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.0062 (1.8036) Prec@1 52.344 (59.015) Prec@5 80.469 (80.805) Epoch: [37][6790/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.1387 (1.8037) Prec@1 52.344 (59.015) Prec@5 75.781 (80.804) Epoch: [37][6800/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.7552 (1.8037) Prec@1 61.719 (59.015) Prec@5 81.250 (80.804) Epoch: [37][6810/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.7388 (1.8037) Prec@1 57.812 (59.014) Prec@5 81.250 (80.804) Epoch: [37][6820/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.9202 (1.8039) Prec@1 58.594 (59.011) Prec@5 77.344 (80.802) Epoch: [37][6830/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7620 (1.8040) Prec@1 60.156 (59.010) Prec@5 80.469 (80.802) Epoch: [37][6840/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 2.0252 (1.8040) Prec@1 56.250 (59.007) Prec@5 76.562 (80.800) Epoch: [37][6850/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.5920 (1.8040) Prec@1 63.281 (59.008) Prec@5 81.250 (80.798) Epoch: [37][6860/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.1553 (1.8041) Prec@1 57.812 (59.007) Prec@5 76.562 (80.797) Epoch: [37][6870/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6602 (1.8040) Prec@1 58.594 (59.010) Prec@5 82.812 (80.797) Epoch: [37][6880/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.8835 (1.8040) Prec@1 58.594 (59.012) Prec@5 82.031 (80.797) Epoch: [37][6890/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.6395 (1.8039) Prec@1 64.844 (59.014) Prec@5 81.250 (80.797) Epoch: [37][6900/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.6968 (1.8039) Prec@1 62.500 (59.016) Prec@5 81.250 (80.798) Epoch: [37][6910/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.7433 (1.8039) Prec@1 63.281 (59.015) Prec@5 78.906 (80.797) Epoch: [37][6920/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6081 (1.8038) Prec@1 64.844 (59.017) Prec@5 85.156 (80.797) Epoch: [37][6930/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.7973 (1.8038) Prec@1 56.250 (59.016) Prec@5 81.250 (80.797) Epoch: [37][6940/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 2.2846 (1.8037) Prec@1 52.344 (59.017) Prec@5 73.438 (80.798) Epoch: [37][6950/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.0242 (1.8038) Prec@1 53.125 (59.014) Prec@5 77.344 (80.797) Epoch: [37][6960/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.9334 (1.8039) Prec@1 54.688 (59.009) Prec@5 78.125 (80.796) Epoch: [37][6970/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8726 (1.8040) Prec@1 57.031 (59.010) Prec@5 78.906 (80.795) Epoch: [37][6980/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6522 (1.8039) Prec@1 61.719 (59.011) Prec@5 86.719 (80.796) Epoch: [37][6990/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7128 (1.8040) Prec@1 65.625 (59.011) Prec@5 81.250 (80.796) Epoch: [37][7000/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.9025 (1.8040) Prec@1 62.500 (59.010) Prec@5 81.250 (80.795) Epoch: [37][7010/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.8112 (1.8039) Prec@1 64.062 (59.012) Prec@5 78.906 (80.797) Epoch: [37][7020/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.9985 (1.8039) Prec@1 55.469 (59.012) Prec@5 74.219 (80.797) Epoch: [37][7030/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.7706 (1.8039) Prec@1 63.281 (59.015) Prec@5 85.156 (80.798) Epoch: [37][7040/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.5958 (1.8039) Prec@1 60.156 (59.013) Prec@5 80.469 (80.797) Epoch: [37][7050/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.7913 (1.8040) Prec@1 60.156 (59.012) Prec@5 78.125 (80.799) Epoch: [37][7060/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.9054 (1.8040) Prec@1 54.688 (59.011) Prec@5 81.250 (80.799) Epoch: [37][7070/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.6050 (1.8040) Prec@1 62.500 (59.010) Prec@5 82.031 (80.798) Epoch: [37][7080/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.5840 (1.8041) Prec@1 69.531 (59.011) Prec@5 82.812 (80.798) Epoch: [37][7090/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8257 (1.8041) Prec@1 56.250 (59.011) Prec@5 80.469 (80.797) Epoch: [37][7100/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.6994 (1.8042) Prec@1 64.062 (59.012) Prec@5 84.375 (80.797) Epoch: [37][7110/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.9936 (1.8042) Prec@1 53.906 (59.013) Prec@5 78.906 (80.798) Epoch: [37][7120/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.9928 (1.8043) Prec@1 57.031 (59.009) Prec@5 77.344 (80.795) Epoch: [37][7130/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.6729 (1.8043) Prec@1 60.938 (59.008) Prec@5 82.031 (80.794) Epoch: [37][7140/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.0048 (1.8046) Prec@1 57.812 (59.004) Prec@5 77.344 (80.791) Epoch: [37][7150/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8965 (1.8045) Prec@1 60.156 (59.004) Prec@5 81.250 (80.792) Epoch: [37][7160/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8553 (1.8047) Prec@1 56.250 (59.001) Prec@5 81.250 (80.788) Epoch: [37][7170/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.1690 (1.8048) Prec@1 52.344 (58.999) Prec@5 74.219 (80.786) Epoch: [37][7180/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.0337 (1.8049) Prec@1 56.250 (58.997) Prec@5 80.469 (80.785) Epoch: [37][7190/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.4183 (1.8049) Prec@1 66.406 (58.999) Prec@5 85.156 (80.784) Epoch: [37][7200/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.6320 (1.8050) Prec@1 60.938 (58.997) Prec@5 86.719 (80.783) Epoch: [37][7210/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.5340 (1.8050) Prec@1 65.625 (58.998) Prec@5 86.719 (80.783) Epoch: [37][7220/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.8906 (1.8050) Prec@1 58.594 (58.999) Prec@5 78.906 (80.783) Epoch: [37][7230/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.1052 (1.8052) Prec@1 55.469 (58.999) Prec@5 75.000 (80.781) Epoch: [37][7240/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.5977 (1.8052) Prec@1 60.938 (58.998) Prec@5 85.938 (80.780) Epoch: [37][7250/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 2.1681 (1.8053) Prec@1 55.469 (58.994) Prec@5 71.875 (80.778) Epoch: [37][7260/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.8684 (1.8053) Prec@1 57.812 (58.994) Prec@5 81.250 (80.778) Epoch: [37][7270/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.8469 (1.8054) Prec@1 60.156 (58.993) Prec@5 79.688 (80.777) Epoch: [37][7280/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9028 (1.8056) Prec@1 57.031 (58.991) Prec@5 76.562 (80.773) Epoch: [37][7290/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.1548 (1.8056) Prec@1 56.250 (58.991) Prec@5 74.219 (80.772) Epoch: [37][7300/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8714 (1.8058) Prec@1 57.031 (58.989) Prec@5 77.344 (80.769) Epoch: [37][7310/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.6515 (1.8057) Prec@1 62.500 (58.989) Prec@5 82.812 (80.768) Epoch: [37][7320/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 2.1936 (1.8058) Prec@1 57.031 (58.987) Prec@5 74.219 (80.766) Epoch: [37][7330/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 2.0237 (1.8060) Prec@1 52.344 (58.983) Prec@5 77.344 (80.766) Epoch: [37][7340/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.8059 (1.8059) Prec@1 63.281 (58.986) Prec@5 79.688 (80.765) Epoch: [37][7350/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9987 (1.8058) Prec@1 51.562 (58.987) Prec@5 78.906 (80.768) Epoch: [37][7360/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9945 (1.8059) Prec@1 57.031 (58.986) Prec@5 79.688 (80.768) Epoch: [37][7370/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 2.0267 (1.8059) Prec@1 55.469 (58.982) Prec@5 76.562 (80.768) Epoch: [37][7380/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.1651 (1.8060) Prec@1 49.219 (58.981) Prec@5 76.562 (80.766) Epoch: [37][7390/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.9548 (1.8061) Prec@1 55.469 (58.980) Prec@5 78.906 (80.764) Epoch: [37][7400/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.9461 (1.8062) Prec@1 57.031 (58.981) Prec@5 79.688 (80.763) Epoch: [37][7410/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9142 (1.8063) Prec@1 55.469 (58.981) Prec@5 79.688 (80.761) Epoch: [37][7420/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.7100 (1.8062) Prec@1 64.062 (58.984) Prec@5 79.688 (80.762) Epoch: [37][7430/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.6544 (1.8063) Prec@1 57.031 (58.982) Prec@5 80.469 (80.761) Epoch: [37][7440/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7916 (1.8064) Prec@1 58.594 (58.980) Prec@5 82.031 (80.759) Epoch: [37][7450/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7848 (1.8063) Prec@1 56.250 (58.981) Prec@5 79.688 (80.759) Epoch: [37][7460/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.9902 (1.8062) Prec@1 59.375 (58.982) Prec@5 78.125 (80.760) Epoch: [37][7470/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 2.0478 (1.8063) Prec@1 52.344 (58.981) Prec@5 76.562 (80.758) Epoch: [37][7480/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8595 (1.8063) Prec@1 53.125 (58.980) Prec@5 82.031 (80.759) Epoch: [37][7490/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.6849 (1.8063) Prec@1 60.938 (58.980) Prec@5 82.031 (80.759) Epoch: [37][7500/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.7711 (1.8063) Prec@1 59.375 (58.979) Prec@5 82.031 (80.760) Epoch: [37][7510/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6945 (1.8063) Prec@1 62.500 (58.979) Prec@5 85.938 (80.763) Epoch: [37][7520/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.7574 (1.8063) Prec@1 56.250 (58.978) Prec@5 80.469 (80.760) Epoch: [37][7530/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 2.0012 (1.8064) Prec@1 53.125 (58.976) Prec@5 75.781 (80.760) Epoch: [37][7540/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.1461 (1.8065) Prec@1 55.469 (58.974) Prec@5 75.781 (80.760) Epoch: [37][7550/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.6543 (1.8066) Prec@1 57.812 (58.972) Prec@5 83.594 (80.758) Epoch: [37][7560/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.2232 (1.8067) Prec@1 49.219 (58.967) Prec@5 76.562 (80.756) Epoch: [37][7570/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.6075 (1.8068) Prec@1 63.281 (58.966) Prec@5 82.031 (80.754) Epoch: [37][7580/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.6001 (1.8067) Prec@1 62.500 (58.968) Prec@5 86.719 (80.756) Epoch: [37][7590/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.7147 (1.8068) Prec@1 59.375 (58.967) Prec@5 79.688 (80.753) Epoch: [37][7600/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.9236 (1.8069) Prec@1 58.594 (58.965) Prec@5 79.688 (80.750) Epoch: [37][7610/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.9972 (1.8069) Prec@1 54.688 (58.965) Prec@5 78.125 (80.752) Epoch: [37][7620/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.5293 (1.8069) Prec@1 64.062 (58.966) Prec@5 89.844 (80.752) Epoch: [37][7630/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.7865 (1.8069) Prec@1 55.469 (58.964) Prec@5 81.250 (80.750) Epoch: [37][7640/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.2125 (1.8071) Prec@1 52.344 (58.962) Prec@5 75.781 (80.749) Epoch: [37][7650/10010] Time 0.316 (0.330) Data 0.000 (0.001) Loss 1.9315 (1.8071) Prec@1 60.156 (58.961) Prec@5 76.562 (80.748) Epoch: [37][7660/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.7399 (1.8072) Prec@1 58.594 (58.959) Prec@5 78.125 (80.747) Epoch: [37][7670/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.8173 (1.8072) Prec@1 59.375 (58.957) Prec@5 83.594 (80.748) Epoch: [37][7680/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8735 (1.8074) Prec@1 55.469 (58.954) Prec@5 79.688 (80.747) Epoch: [37][7690/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.1355 (1.8074) Prec@1 50.781 (58.955) Prec@5 76.562 (80.745) Epoch: [37][7700/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.6888 (1.8073) Prec@1 56.250 (58.957) Prec@5 85.938 (80.747) Epoch: [37][7710/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6381 (1.8072) Prec@1 61.719 (58.961) Prec@5 82.031 (80.747) Epoch: [37][7720/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7951 (1.8073) Prec@1 57.812 (58.959) Prec@5 79.688 (80.745) Epoch: [37][7730/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.9238 (1.8073) Prec@1 60.156 (58.960) Prec@5 82.812 (80.744) Epoch: [37][7740/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.6955 (1.8074) Prec@1 60.938 (58.960) Prec@5 82.812 (80.743) Epoch: [37][7750/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.8857 (1.8075) Prec@1 59.375 (58.958) Prec@5 82.031 (80.742) Epoch: [37][7760/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.7043 (1.8075) Prec@1 59.375 (58.959) Prec@5 80.469 (80.741) Epoch: [37][7770/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.5159 (1.8075) Prec@1 63.281 (58.958) Prec@5 86.719 (80.742) Epoch: [37][7780/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 2.0424 (1.8075) Prec@1 52.344 (58.958) Prec@5 75.000 (80.741) Epoch: [37][7790/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.9616 (1.8074) Prec@1 56.250 (58.959) Prec@5 75.781 (80.742) Epoch: [37][7800/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.5751 (1.8074) Prec@1 55.469 (58.956) Prec@5 85.156 (80.743) Epoch: [37][7810/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.6150 (1.8075) Prec@1 64.062 (58.956) Prec@5 83.594 (80.743) Epoch: [37][7820/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8796 (1.8076) Prec@1 59.375 (58.952) Prec@5 77.344 (80.741) Epoch: [37][7830/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.2091 (1.8077) Prec@1 53.125 (58.951) Prec@5 74.219 (80.741) Epoch: [37][7840/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.5834 (1.8077) Prec@1 65.625 (58.952) Prec@5 83.594 (80.740) Epoch: [37][7850/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.7083 (1.8077) Prec@1 58.594 (58.951) Prec@5 83.594 (80.739) Epoch: [37][7860/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.6170 (1.8079) Prec@1 61.719 (58.947) Prec@5 85.938 (80.736) Epoch: [37][7870/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8171 (1.8079) Prec@1 56.250 (58.948) Prec@5 78.125 (80.737) Epoch: [37][7880/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.5812 (1.8078) Prec@1 63.281 (58.947) Prec@5 84.375 (80.739) Epoch: [37][7890/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.8101 (1.8077) Prec@1 59.375 (58.948) Prec@5 82.031 (80.742) Epoch: [37][7900/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.5367 (1.8077) Prec@1 64.062 (58.945) Prec@5 85.938 (80.742) Epoch: [37][7910/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 2.2335 (1.8077) Prec@1 50.781 (58.943) Prec@5 74.219 (80.742) Epoch: [37][7920/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.9899 (1.8078) Prec@1 57.031 (58.943) Prec@5 74.219 (80.741) Epoch: [37][7930/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.9842 (1.8079) Prec@1 53.125 (58.939) Prec@5 75.000 (80.739) Epoch: [37][7940/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 2.1423 (1.8080) Prec@1 55.469 (58.938) Prec@5 78.906 (80.737) Epoch: [37][7950/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.5124 (1.8081) Prec@1 65.625 (58.934) Prec@5 85.156 (80.734) Epoch: [37][7960/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.9225 (1.8083) Prec@1 57.812 (58.932) Prec@5 77.344 (80.731) Epoch: [37][7970/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.7556 (1.8083) Prec@1 60.156 (58.934) Prec@5 78.906 (80.732) Epoch: [37][7980/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.5992 (1.8083) Prec@1 59.375 (58.932) Prec@5 82.031 (80.731) Epoch: [37][7990/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.7868 (1.8084) Prec@1 53.906 (58.930) Prec@5 84.375 (80.729) Epoch: [37][8000/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.6606 (1.8084) Prec@1 61.719 (58.929) Prec@5 85.938 (80.729) Epoch: [37][8010/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.6157 (1.8085) Prec@1 64.062 (58.928) Prec@5 82.031 (80.727) Epoch: [37][8020/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 2.0570 (1.8086) Prec@1 57.812 (58.927) Prec@5 75.781 (80.727) Epoch: [37][8030/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.0800 (1.8086) Prec@1 51.562 (58.924) Prec@5 72.656 (80.726) Epoch: [37][8040/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6302 (1.8086) Prec@1 63.281 (58.923) Prec@5 85.156 (80.725) Epoch: [37][8050/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.8645 (1.8088) Prec@1 53.906 (58.922) Prec@5 77.344 (80.724) Epoch: [37][8060/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 2.0618 (1.8088) Prec@1 57.812 (58.921) Prec@5 77.344 (80.723) Epoch: [37][8070/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.5625 (1.8088) Prec@1 66.406 (58.920) Prec@5 88.281 (80.725) Epoch: [37][8080/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8765 (1.8089) Prec@1 56.250 (58.917) Prec@5 77.344 (80.722) Epoch: [37][8090/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.4983 (1.8089) Prec@1 61.719 (58.914) Prec@5 86.719 (80.723) Epoch: [37][8100/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8368 (1.8090) Prec@1 59.375 (58.913) Prec@5 77.344 (80.720) Epoch: [37][8110/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6072 (1.8091) Prec@1 63.281 (58.912) Prec@5 82.812 (80.720) Epoch: [37][8120/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.7330 (1.8091) Prec@1 61.719 (58.912) Prec@5 84.375 (80.720) Epoch: [37][8130/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.0641 (1.8093) Prec@1 52.344 (58.910) Prec@5 74.219 (80.717) /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][8140/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.9993 (1.8092) Prec@1 57.812 (58.911) Prec@5 78.125 (80.717) Epoch: [37][8150/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 1.9244 (1.8093) Prec@1 59.375 (58.909) Prec@5 81.250 (80.716) Epoch: [37][8160/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.7951 (1.8094) Prec@1 59.375 (58.907) Prec@5 78.125 (80.715) Epoch: [37][8170/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.7658 (1.8095) Prec@1 56.250 (58.905) Prec@5 82.031 (80.715) Epoch: [37][8180/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8522 (1.8094) Prec@1 57.812 (58.905) Prec@5 76.562 (80.715) Epoch: [37][8190/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 2.1146 (1.8093) Prec@1 51.562 (58.905) Prec@5 76.562 (80.715) Epoch: [37][8200/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.0932 (1.8095) Prec@1 55.469 (58.901) Prec@5 75.781 (80.712) Epoch: [37][8210/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.8031 (1.8096) Prec@1 58.594 (58.899) Prec@5 79.688 (80.712) Epoch: [37][8220/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.8044 (1.8095) Prec@1 58.594 (58.900) Prec@5 82.812 (80.714) Epoch: [37][8230/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.8296 (1.8096) Prec@1 52.344 (58.899) Prec@5 80.469 (80.715) Epoch: [37][8240/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.8637 (1.8096) Prec@1 56.250 (58.898) Prec@5 80.469 (80.715) Epoch: [37][8250/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 2.0529 (1.8097) Prec@1 56.250 (58.896) Prec@5 78.125 (80.714) Epoch: [37][8260/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.7176 (1.8097) Prec@1 58.594 (58.896) Prec@5 87.500 (80.714) Epoch: [37][8270/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 1.6563 (1.8096) Prec@1 60.938 (58.897) Prec@5 80.469 (80.714) Epoch: [37][8280/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.9590 (1.8096) Prec@1 58.594 (58.896) Prec@5 78.906 (80.715) Epoch: [37][8290/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.7540 (1.8097) Prec@1 57.812 (58.893) Prec@5 82.812 (80.714) Epoch: [37][8300/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 2.0210 (1.8098) Prec@1 55.469 (58.892) Prec@5 79.688 (80.712) Epoch: [37][8310/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 2.1061 (1.8098) Prec@1 53.906 (58.893) Prec@5 73.438 (80.712) Epoch: [37][8320/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 2.1845 (1.8098) Prec@1 53.125 (58.893) Prec@5 73.438 (80.712) Epoch: [37][8330/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.7681 (1.8098) Prec@1 64.062 (58.894) Prec@5 82.031 (80.713) Epoch: [37][8340/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.7999 (1.8099) Prec@1 61.719 (58.892) Prec@5 81.250 (80.712) Epoch: [37][8350/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.5457 (1.8099) Prec@1 65.625 (58.892) Prec@5 83.594 (80.713) Epoch: [37][8360/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6886 (1.8098) Prec@1 58.594 (58.892) Prec@5 80.469 (80.714) Epoch: [37][8370/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.9455 (1.8100) Prec@1 58.594 (58.890) Prec@5 78.125 (80.712) Epoch: [37][8380/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 2.0288 (1.8100) Prec@1 55.469 (58.890) Prec@5 77.344 (80.711) Epoch: [37][8390/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.8070 (1.8100) Prec@1 58.594 (58.890) Prec@5 82.031 (80.713) Epoch: [37][8400/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.8050 (1.8100) Prec@1 63.281 (58.891) Prec@5 78.906 (80.713) Epoch: [37][8410/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.6852 (1.8100) Prec@1 57.031 (58.891) Prec@5 82.812 (80.713) Epoch: [37][8420/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.0229 (1.8099) Prec@1 51.562 (58.891) Prec@5 74.219 (80.714) Epoch: [37][8430/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.5993 (1.8098) Prec@1 61.719 (58.896) Prec@5 82.812 (80.716) Epoch: [37][8440/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.7304 (1.8098) Prec@1 61.719 (58.894) Prec@5 80.469 (80.715) Epoch: [37][8450/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.0412 (1.8100) Prec@1 50.000 (58.892) Prec@5 75.781 (80.711) Epoch: [37][8460/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.9738 (1.8100) Prec@1 56.250 (58.890) Prec@5 75.000 (80.710) Epoch: [37][8470/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 2.1313 (1.8100) Prec@1 56.250 (58.890) Prec@5 79.688 (80.710) Epoch: [37][8480/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9958 (1.8100) Prec@1 57.812 (58.890) Prec@5 78.906 (80.709) Epoch: [37][8490/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.6188 (1.8100) Prec@1 61.719 (58.890) Prec@5 84.375 (80.709) Epoch: [37][8500/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.8769 (1.8101) Prec@1 56.250 (58.888) Prec@5 75.781 (80.707) Epoch: [37][8510/10010] Time 0.347 (0.330) Data 0.001 (0.001) Loss 1.8271 (1.8101) Prec@1 62.500 (58.887) Prec@5 80.469 (80.706) Epoch: [37][8520/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.0793 (1.8102) Prec@1 57.031 (58.884) Prec@5 76.562 (80.705) Epoch: [37][8530/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.5754 (1.8102) Prec@1 64.062 (58.885) Prec@5 85.156 (80.706) Epoch: [37][8540/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8794 (1.8101) Prec@1 54.688 (58.884) Prec@5 82.031 (80.707) Epoch: [37][8550/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.8282 (1.8101) Prec@1 61.719 (58.883) Prec@5 78.906 (80.707) Epoch: [37][8560/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 2.0234 (1.8102) Prec@1 57.812 (58.881) Prec@5 81.250 (80.706) Epoch: [37][8570/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7125 (1.8102) Prec@1 60.938 (58.882) Prec@5 81.250 (80.706) Epoch: [37][8580/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9772 (1.8101) Prec@1 57.031 (58.882) Prec@5 76.562 (80.707) Epoch: [37][8590/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.6086 (1.8102) Prec@1 65.625 (58.882) Prec@5 85.938 (80.707) Epoch: [37][8600/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.4244 (1.8102) Prec@1 62.500 (58.881) Prec@5 85.156 (80.706) Epoch: [37][8610/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.5470 (1.8102) Prec@1 64.062 (58.881) Prec@5 85.156 (80.706) Epoch: [37][8620/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.7767 (1.8103) Prec@1 54.688 (58.880) Prec@5 80.469 (80.707) Epoch: [37][8630/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.0677 (1.8103) Prec@1 52.344 (58.879) Prec@5 75.000 (80.706) Epoch: [37][8640/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.1364 (1.8103) Prec@1 52.344 (58.879) Prec@5 75.781 (80.705) Epoch: [37][8650/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.5233 (1.8102) Prec@1 62.500 (58.880) Prec@5 86.719 (80.706) Epoch: [37][8660/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.5374 (1.8103) Prec@1 67.188 (58.880) Prec@5 84.375 (80.705) Epoch: [37][8670/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.7331 (1.8103) Prec@1 60.938 (58.881) Prec@5 76.562 (80.705) Epoch: [37][8680/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.0347 (1.8103) Prec@1 53.906 (58.878) Prec@5 76.562 (80.704) Epoch: [37][8690/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9026 (1.8104) Prec@1 55.469 (58.875) Prec@5 77.344 (80.703) Epoch: [37][8700/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8204 (1.8104) Prec@1 60.156 (58.877) Prec@5 80.469 (80.703) Epoch: [37][8710/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.5878 (1.8105) Prec@1 57.812 (58.875) Prec@5 86.719 (80.703) Epoch: [37][8720/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.7371 (1.8104) Prec@1 60.156 (58.876) Prec@5 85.156 (80.704) Epoch: [37][8730/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.8380 (1.8104) Prec@1 60.938 (58.876) Prec@5 77.344 (80.704) Epoch: [37][8740/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.8298 (1.8105) Prec@1 57.031 (58.874) Prec@5 79.688 (80.703) Epoch: [37][8750/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.9840 (1.8106) Prec@1 57.812 (58.872) Prec@5 76.562 (80.702) Epoch: [37][8760/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.6508 (1.8107) Prec@1 65.625 (58.872) Prec@5 81.250 (80.701) Epoch: [37][8770/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.5991 (1.8107) Prec@1 60.156 (58.872) Prec@5 88.281 (80.702) Epoch: [37][8780/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.7322 (1.8107) Prec@1 63.281 (58.871) Prec@5 82.812 (80.701) Epoch: [37][8790/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.8567 (1.8108) Prec@1 57.812 (58.870) Prec@5 80.469 (80.702) Epoch: [37][8800/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.8719 (1.8108) Prec@1 58.594 (58.870) Prec@5 78.125 (80.702) Epoch: [37][8810/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.9751 (1.8109) Prec@1 55.469 (58.868) Prec@5 80.469 (80.702) Epoch: [37][8820/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.9436 (1.8109) Prec@1 58.594 (58.867) Prec@5 78.906 (80.700) Epoch: [37][8830/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9600 (1.8109) Prec@1 55.469 (58.867) Prec@5 77.344 (80.700) Epoch: [37][8840/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.7895 (1.8109) Prec@1 59.375 (58.865) Prec@5 78.906 (80.699) Epoch: [37][8850/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8233 (1.8109) Prec@1 55.469 (58.864) Prec@5 80.469 (80.699) Epoch: [37][8860/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.5166 (1.8107) Prec@1 66.406 (58.868) Prec@5 86.719 (80.703) Epoch: [37][8870/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.0711 (1.8108) Prec@1 53.125 (58.866) Prec@5 78.906 (80.701) Epoch: [37][8880/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.6933 (1.8107) Prec@1 60.156 (58.868) Prec@5 81.250 (80.703) Epoch: [37][8890/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.5586 (1.8107) Prec@1 59.375 (58.869) Prec@5 85.938 (80.703) Epoch: [37][8900/10010] Time 0.316 (0.330) Data 0.000 (0.001) Loss 2.0158 (1.8108) Prec@1 58.594 (58.868) Prec@5 78.125 (80.701) Epoch: [37][8910/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.4993 (1.8107) Prec@1 64.062 (58.870) Prec@5 82.812 (80.702) Epoch: [37][8920/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8073 (1.8107) Prec@1 60.156 (58.868) Prec@5 82.812 (80.704) Epoch: [37][8930/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.7987 (1.8109) Prec@1 58.594 (58.866) Prec@5 81.250 (80.701) Epoch: [37][8940/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 2.0017 (1.8107) Prec@1 58.594 (58.868) Prec@5 77.344 (80.702) Epoch: [37][8950/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.4270 (1.8106) Prec@1 64.844 (58.870) Prec@5 86.719 (80.703) Epoch: [37][8960/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.8496 (1.8105) Prec@1 54.688 (58.871) Prec@5 82.031 (80.704) Epoch: [37][8970/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.8665 (1.8106) Prec@1 60.156 (58.869) Prec@5 82.812 (80.704) Epoch: [37][8980/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 2.0331 (1.8107) Prec@1 58.594 (58.869) Prec@5 74.219 (80.703) Epoch: [37][8990/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6586 (1.8106) Prec@1 61.719 (58.869) Prec@5 79.688 (80.703) Epoch: [37][9000/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.7160 (1.8106) Prec@1 64.844 (58.870) Prec@5 78.906 (80.703) Epoch: [37][9010/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 2.0796 (1.8107) Prec@1 57.812 (58.867) Prec@5 75.000 (80.701) Epoch: [37][9020/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.7917 (1.8108) Prec@1 60.156 (58.868) Prec@5 82.031 (80.700) Epoch: [37][9030/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9371 (1.8108) Prec@1 55.469 (58.868) Prec@5 78.125 (80.699) Epoch: [37][9040/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.9955 (1.8108) Prec@1 57.031 (58.868) Prec@5 78.906 (80.697) Epoch: [37][9050/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.8584 (1.8109) Prec@1 61.719 (58.867) Prec@5 80.469 (80.696) Epoch: [37][9060/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.1805 (1.8110) Prec@1 51.562 (58.865) Prec@5 75.781 (80.695) Epoch: [37][9070/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.9793 (1.8110) Prec@1 58.594 (58.865) Prec@5 76.562 (80.696) Epoch: [37][9080/10010] Time 0.348 (0.330) Data 0.000 (0.001) Loss 1.8575 (1.8111) Prec@1 57.031 (58.866) Prec@5 79.688 (80.695) Epoch: [37][9090/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.9086 (1.8111) Prec@1 55.469 (58.866) Prec@5 79.688 (80.696) Epoch: [37][9100/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.6029 (1.8110) Prec@1 60.156 (58.866) Prec@5 82.812 (80.697) Epoch: [37][9110/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8249 (1.8111) Prec@1 60.156 (58.867) Prec@5 80.469 (80.696) Epoch: [37][9120/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.7951 (1.8111) Prec@1 63.281 (58.866) Prec@5 82.031 (80.695) Epoch: [37][9130/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 1.8456 (1.8112) Prec@1 60.938 (58.865) Prec@5 76.562 (80.693) Epoch: [37][9140/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 2.0875 (1.8113) Prec@1 51.562 (58.863) Prec@5 76.562 (80.691) Epoch: [37][9150/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.9408 (1.8113) Prec@1 54.688 (58.862) Prec@5 77.344 (80.692) Epoch: [37][9160/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.4901 (1.8113) Prec@1 66.406 (58.860) Prec@5 86.719 (80.691) Epoch: [37][9170/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.2598 (1.8112) Prec@1 69.531 (58.861) Prec@5 89.062 (80.691) Epoch: [37][9180/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 2.0817 (1.8112) Prec@1 53.906 (58.861) Prec@5 75.781 (80.691) Epoch: [37][9190/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7438 (1.8112) Prec@1 62.500 (58.861) Prec@5 75.781 (80.691) Epoch: [37][9200/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.8151 (1.8112) Prec@1 56.250 (58.861) Prec@5 84.375 (80.691) Epoch: [37][9210/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6440 (1.8112) Prec@1 60.938 (58.860) Prec@5 82.031 (80.692) Epoch: [37][9220/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9033 (1.8112) Prec@1 57.031 (58.862) Prec@5 82.031 (80.693) Epoch: [37][9230/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.9293 (1.8112) Prec@1 57.031 (58.861) Prec@5 78.125 (80.692) Epoch: [37][9240/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.6101 (1.8112) Prec@1 62.500 (58.862) Prec@5 82.031 (80.692) Epoch: [37][9250/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7545 (1.8111) Prec@1 57.812 (58.862) Prec@5 82.812 (80.693) Epoch: [37][9260/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.6798 (1.8112) Prec@1 59.375 (58.861) Prec@5 83.594 (80.692) Epoch: [37][9270/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.0355 (1.8113) Prec@1 53.906 (58.860) Prec@5 75.000 (80.690) Epoch: [37][9280/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.8718 (1.8114) Prec@1 54.688 (58.859) Prec@5 80.469 (80.688) Epoch: [37][9290/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 2.0050 (1.8113) Prec@1 55.469 (58.859) Prec@5 79.688 (80.690) Epoch: [37][9300/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8356 (1.8114) Prec@1 58.594 (58.859) Prec@5 78.906 (80.689) Epoch: [37][9310/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.6779 (1.8114) Prec@1 60.156 (58.860) Prec@5 78.125 (80.689) Epoch: [37][9320/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.8979 (1.8114) Prec@1 62.500 (58.864) Prec@5 75.781 (80.690) Epoch: [37][9330/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7977 (1.8115) Prec@1 58.594 (58.862) Prec@5 79.688 (80.687) Epoch: [37][9340/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7064 (1.8116) Prec@1 57.812 (58.861) Prec@5 77.344 (80.686) Epoch: [37][9350/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.9261 (1.8116) Prec@1 62.500 (58.861) Prec@5 76.562 (80.685) Epoch: [37][9360/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.8591 (1.8116) Prec@1 55.469 (58.860) Prec@5 78.906 (80.684) Epoch: [37][9370/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9466 (1.8116) Prec@1 53.125 (58.861) Prec@5 77.344 (80.684) Epoch: [37][9380/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.9446 (1.8117) Prec@1 57.812 (58.861) Prec@5 82.031 (80.683) Epoch: [37][9390/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7034 (1.8117) Prec@1 61.719 (58.861) Prec@5 82.031 (80.683) Epoch: [37][9400/10010] Time 0.320 (0.330) Data 0.000 (0.001) Loss 1.8245 (1.8116) Prec@1 53.906 (58.861) Prec@5 80.469 (80.684) Epoch: [37][9410/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.8680 (1.8116) Prec@1 57.812 (58.861) Prec@5 78.906 (80.683) Epoch: [37][9420/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8463 (1.8117) Prec@1 62.500 (58.863) Prec@5 81.250 (80.684) Epoch: [37][9430/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.5949 (1.8116) Prec@1 61.719 (58.863) Prec@5 85.156 (80.684) Epoch: [37][9440/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.7487 (1.8117) Prec@1 63.281 (58.862) Prec@5 80.469 (80.684) Epoch: [37][9450/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.9197 (1.8117) Prec@1 59.375 (58.861) Prec@5 79.688 (80.684) Epoch: [37][9460/10010] Time 0.313 (0.330) Data 0.001 (0.001) Loss 1.9313 (1.8117) Prec@1 61.719 (58.862) Prec@5 79.688 (80.685) Epoch: [37][9470/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8249 (1.8117) Prec@1 56.250 (58.861) Prec@5 80.469 (80.685) Epoch: [37][9480/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.9797 (1.8117) Prec@1 56.250 (58.859) Prec@5 78.125 (80.684) Epoch: [37][9490/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.6853 (1.8117) Prec@1 57.812 (58.859) Prec@5 84.375 (80.684) Epoch: [37][9500/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.7995 (1.8118) Prec@1 64.062 (58.860) Prec@5 79.688 (80.683) Epoch: [37][9510/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.8095 (1.8118) Prec@1 56.250 (58.861) Prec@5 78.906 (80.681) Epoch: [37][9520/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.2806 (1.8118) Prec@1 46.875 (58.860) Prec@5 71.875 (80.680) Epoch: [37][9530/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.9454 (1.8118) Prec@1 54.688 (58.860) Prec@5 78.125 (80.681) Epoch: [37][9540/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.6913 (1.8118) Prec@1 60.156 (58.859) Prec@5 83.594 (80.680) Epoch: [37][9550/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.6326 (1.8118) Prec@1 65.625 (58.860) Prec@5 84.375 (80.681) Epoch: [37][9560/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.6057 (1.8117) Prec@1 66.406 (58.861) Prec@5 82.812 (80.680) Epoch: [37][9570/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.7189 (1.8117) Prec@1 58.594 (58.862) Prec@5 81.250 (80.681) Epoch: [37][9580/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.5693 (1.8117) Prec@1 61.719 (58.862) Prec@5 85.156 (80.682) Epoch: [37][9590/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.6942 (1.8117) Prec@1 59.375 (58.861) Prec@5 83.594 (80.682) Epoch: [37][9600/10010] Time 0.314 (0.330) Data 0.001 (0.001) Loss 1.8883 (1.8117) Prec@1 62.500 (58.863) Prec@5 77.344 (80.683) Epoch: [37][9610/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.7743 (1.8116) Prec@1 62.500 (58.864) Prec@5 78.906 (80.683) Epoch: [37][9620/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.9281 (1.8115) Prec@1 58.594 (58.865) Prec@5 82.031 (80.684) Epoch: [37][9630/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.6422 (1.8115) Prec@1 64.844 (58.867) Prec@5 84.375 (80.684) Epoch: [37][9640/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.7718 (1.8115) Prec@1 60.156 (58.868) Prec@5 78.906 (80.683) Epoch: [37][9650/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.7084 (1.8115) Prec@1 59.375 (58.867) Prec@5 81.250 (80.684) Epoch: [37][9660/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.9284 (1.8116) Prec@1 56.250 (58.866) Prec@5 79.688 (80.683) Epoch: [37][9670/10010] Time 0.317 (0.330) Data 0.000 (0.001) Loss 1.8253 (1.8115) Prec@1 57.812 (58.865) Prec@5 79.688 (80.685) Epoch: [37][9680/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.1304 (1.8116) Prec@1 51.562 (58.864) Prec@5 75.781 (80.683) Epoch: [37][9690/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.9589 (1.8116) Prec@1 53.125 (58.864) Prec@5 80.469 (80.684) Epoch: [37][9700/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.9819 (1.8117) Prec@1 55.469 (58.863) Prec@5 76.562 (80.683) Epoch: [37][9710/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8209 (1.8117) Prec@1 60.156 (58.862) Prec@5 82.812 (80.683) Epoch: [37][9720/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.9501 (1.8118) Prec@1 53.906 (58.861) Prec@5 80.469 (80.682) Epoch: [37][9730/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.6047 (1.8118) Prec@1 67.188 (58.861) Prec@5 83.594 (80.683) Epoch: [37][9740/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.9542 (1.8119) Prec@1 56.250 (58.859) Prec@5 76.562 (80.682) Epoch: [37][9750/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.7625 (1.8119) Prec@1 62.500 (58.859) Prec@5 81.250 (80.682) Epoch: [37][9760/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8563 (1.8119) Prec@1 60.156 (58.858) Prec@5 78.906 (80.682) Epoch: [37][9770/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.1169 (1.8119) Prec@1 46.094 (58.857) Prec@5 75.000 (80.681) Epoch: [37][9780/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7716 (1.8120) Prec@1 60.156 (58.855) Prec@5 79.688 (80.679) Epoch: [37][9790/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.8964 (1.8121) Prec@1 54.688 (58.853) Prec@5 76.562 (80.680) Epoch: [37][9800/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7545 (1.8120) Prec@1 62.500 (58.853) Prec@5 82.031 (80.680) Epoch: [37][9810/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.9550 (1.8121) Prec@1 51.562 (58.853) Prec@5 75.781 (80.679) Epoch: [37][9820/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.0137 (1.8121) Prec@1 52.344 (58.852) Prec@5 77.344 (80.680) Epoch: [37][9830/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 1.9367 (1.8122) Prec@1 51.562 (58.850) Prec@5 79.688 (80.679) Epoch: [37][9840/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 1.6935 (1.8123) Prec@1 54.688 (58.846) Prec@5 80.469 (80.679) Epoch: [37][9850/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.7618 (1.8123) Prec@1 63.281 (58.845) Prec@5 82.812 (80.678) Epoch: [37][9860/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6026 (1.8125) Prec@1 62.500 (58.842) Prec@5 84.375 (80.676) Epoch: [37][9870/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 2.0053 (1.8125) Prec@1 54.688 (58.841) Prec@5 80.469 (80.675) Epoch: [37][9880/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.4499 (1.8126) Prec@1 64.062 (58.840) Prec@5 87.500 (80.674) Epoch: [37][9890/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.1583 (1.8126) Prec@1 53.906 (58.841) Prec@5 75.000 (80.675) Epoch: [37][9900/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 2.1012 (1.8126) Prec@1 53.125 (58.839) Prec@5 76.562 (80.675) Epoch: [37][9910/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.8683 (1.8126) Prec@1 57.812 (58.839) Prec@5 79.688 (80.673) Epoch: [37][9920/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.5299 (1.8126) Prec@1 65.625 (58.838) Prec@5 86.719 (80.673) Epoch: [37][9930/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.0214 (1.8127) Prec@1 52.344 (58.836) Prec@5 81.250 (80.672) Epoch: [37][9940/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.7550 (1.8126) Prec@1 59.375 (58.837) Prec@5 82.812 (80.673) Epoch: [37][9950/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.5539 (1.8126) Prec@1 67.188 (58.838) Prec@5 82.031 (80.673) Epoch: [37][9960/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8063 (1.8126) Prec@1 60.156 (58.838) Prec@5 78.125 (80.674) Epoch: [37][9970/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.6447 (1.8125) Prec@1 61.719 (58.840) Prec@5 82.031 (80.676) Epoch: [37][9980/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.6903 (1.8126) Prec@1 60.156 (58.841) Prec@5 80.469 (80.675) Epoch: [37][9990/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8768 (1.8125) Prec@1 57.031 (58.841) Prec@5 76.562 (80.675) Epoch: [37][10000/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 2.0207 (1.8125) Prec@1 58.594 (58.843) Prec@5 76.562 (80.674) Test: [0/391] Time 1.628 (1.628) Loss 0.8533 (0.8533) Prec@1 82.812 (82.812) Prec@5 94.531 (94.531) Test: [10/391] Time 0.107 (0.254) Loss 1.4802 (0.8928) Prec@1 63.281 (79.332) Prec@5 88.281 (92.685) Test: [20/391] Time 0.111 (0.185) Loss 1.0363 (1.1205) Prec@1 74.219 (72.284) Prec@5 92.188 (90.216) Test: [30/391] Time 0.102 (0.159) Loss 1.9250 (1.2921) Prec@1 58.594 (67.918) Prec@5 79.688 (88.483) Test: [40/391] Time 0.106 (0.148) Loss 1.1152 (1.1647) Prec@1 74.219 (71.018) Prec@5 86.719 (89.768) Test: [50/391] Time 0.107 (0.140) Loss 0.7463 (1.1846) Prec@1 78.125 (70.619) Prec@5 93.750 (89.645) Test: [60/391] Time 0.101 (0.134) Loss 1.2163 (1.1283) Prec@1 73.438 (72.106) Prec@5 89.844 (90.254) Test: [70/391] Time 0.099 (0.130) Loss 1.5213 (1.1586) Prec@1 57.031 (71.105) Prec@5 87.500 (90.196) Test: [80/391] Time 0.103 (0.128) Loss 1.1209 (1.1708) Prec@1 69.531 (70.438) Prec@5 93.750 (90.326) Test: [90/391] Time 0.102 (0.125) Loss 1.1604 (1.1806) Prec@1 60.938 (70.064) Prec@5 95.312 (90.385) Test: [100/391] Time 0.102 (0.123) Loss 1.3487 (1.1801) Prec@1 63.281 (69.670) Prec@5 88.281 (90.555) Test: [110/391] Time 0.105 (0.121) Loss 1.4764 (1.1842) Prec@1 47.656 (69.200) Prec@5 91.406 (90.674) Test: [120/391] Time 0.111 (0.120) Loss 0.9421 (1.1743) Prec@1 72.656 (69.512) Prec@5 92.969 (90.761) Test: [130/391] Time 0.109 (0.120) Loss 0.6924 (1.1660) Prec@1 83.594 (69.859) Prec@5 94.531 (90.816) Test: [140/391] Time 0.113 (0.119) Loss 1.7213 (1.1743) Prec@1 52.344 (69.675) Prec@5 85.156 (90.703) Test: [150/391] Time 0.106 (0.118) Loss 1.3893 (1.1830) Prec@1 57.031 (69.624) Prec@5 89.062 (90.480) Test: [160/391] Time 0.106 (0.117) Loss 1.3079 (1.1941) Prec@1 63.281 (69.507) Prec@5 87.500 (90.314) Test: [170/391] Time 0.105 (0.116) Loss 2.0766 (1.2319) Prec@1 46.875 (68.805) Prec@5 85.938 (89.821) Test: [180/391] Time 0.105 (0.116) Loss 2.3544 (1.2724) Prec@1 39.844 (67.964) Prec@5 78.125 (89.214) Test: [190/391] Time 0.104 (0.115) Loss 2.1239 (1.3085) Prec@1 57.812 (67.359) Prec@5 81.250 (88.662) Test: [200/391] Time 0.096 (0.115) Loss 1.2321 (1.3391) Prec@1 65.625 (66.729) Prec@5 90.625 (88.227) Test: [210/391] Time 0.102 (0.114) Loss 1.8266 (1.3621) Prec@1 62.500 (66.314) Prec@5 80.469 (87.918) Test: [220/391] Time 0.103 (0.114) Loss 0.9217 (1.3743) Prec@1 78.125 (66.123) Prec@5 90.625 (87.673) Test: [230/391] Time 0.103 (0.114) Loss 2.1049 (1.3878) Prec@1 48.438 (65.943) Prec@5 85.156 (87.493) Test: [240/391] Time 0.103 (0.113) Loss 1.8337 (1.3990) Prec@1 60.156 (65.810) Prec@5 81.250 (87.286) Test: [250/391] Time 0.101 (0.113) Loss 1.2735 (1.4280) Prec@1 70.312 (65.205) Prec@5 88.281 (86.927) Test: [260/391] Time 0.108 (0.113) Loss 1.8706 (1.4538) Prec@1 61.719 (64.718) Prec@5 82.031 (86.605) Test: [270/391] Time 0.109 (0.113) Loss 1.9898 (1.4651) Prec@1 49.219 (64.414) Prec@5 83.594 (86.413) Test: [280/391] Time 0.110 (0.112) Loss 1.6869 (1.4753) Prec@1 57.812 (64.282) Prec@5 85.156 (86.282) Test: [290/391] Time 0.110 (0.112) Loss 2.0496 (1.4879) Prec@1 55.469 (64.108) Prec@5 80.469 (86.026) Test: [300/391] Time 0.105 (0.112) Loss 1.5602 (1.5014) Prec@1 69.531 (63.915) Prec@5 84.375 (85.816) Test: [310/391] Time 0.110 (0.112) Loss 1.8695 (1.5111) Prec@1 61.719 (63.748) Prec@5 76.562 (85.654) Test: [320/391] Time 0.106 (0.112) Loss 1.0168 (1.5188) Prec@1 78.125 (63.612) Prec@5 93.750 (85.577) Test: [330/391] Time 0.103 (0.112) Loss 2.3588 (1.5406) Prec@1 44.531 (63.161) Prec@5 77.344 (85.265) Test: [340/391] Time 0.103 (0.111) Loss 1.4445 (1.5486) Prec@1 65.625 (62.965) Prec@5 86.719 (85.138) Test: [350/391] Time 0.102 (0.111) Loss 1.5990 (1.5546) Prec@1 67.969 (62.903) Prec@5 83.594 (85.027) Test: [360/391] Time 0.102 (0.111) Loss 1.7052 (1.5641) Prec@1 54.688 (62.688) Prec@5 88.281 (84.920) Test: [370/391] Time 0.104 (0.111) Loss 1.6544 (1.5597) Prec@1 53.906 (62.761) Prec@5 89.844 (85.003) Test: [380/391] Time 0.103 (0.111) Loss 1.3241 (1.5597) Prec@1 63.281 (62.777) Prec@5 91.406 (85.000) Test: [390/391] Time 0.067 (0.110) Loss 2.0759 (1.5510) Prec@1 43.750 (62.950) Prec@5 83.750 (85.128) * Prec@1 62.950 Prec@5 85.128 Epoch: [38][0/10010] Time 2.741 (2.741) Data 2.570 (2.570) Loss 1.7145 (1.7145) Prec@1 63.281 (63.281) Prec@5 82.812 (82.812) Epoch: [38][10/10010] Time 0.322 (0.541) Data 0.000 (0.243) Loss 1.7382 (1.7293) Prec@1 61.719 (60.227) Prec@5 80.469 (82.315) Epoch: [38][20/10010] Time 0.316 (0.437) Data 0.001 (0.128) Loss 1.4270 (1.7581) Prec@1 62.500 (59.970) Prec@5 88.281 (81.585) Epoch: [38][30/10010] Time 0.318 (0.400) Data 0.000 (0.087) Loss 1.7225 (1.7546) Prec@1 59.375 (60.333) Prec@5 77.344 (81.502) Epoch: [38][40/10010] Time 0.328 (0.383) Data 0.001 (0.066) Loss 1.8007 (1.7489) Prec@1 58.594 (60.385) Prec@5 80.469 (81.612) Epoch: [38][50/10010] Time 0.316 (0.371) Data 0.000 (0.053) Loss 1.5748 (1.7581) Prec@1 63.281 (60.126) Prec@5 83.594 (81.587) Epoch: [38][60/10010] Time 0.330 (0.364) Data 0.000 (0.044) Loss 1.9885 (1.7708) Prec@1 54.688 (59.746) Prec@5 78.125 (81.378) Epoch: [38][70/10010] Time 0.323 (0.358) Data 0.001 (0.038) Loss 1.9575 (1.7844) Prec@1 55.469 (59.221) Prec@5 77.344 (81.261) Epoch: [38][80/10010] Time 0.321 (0.354) Data 0.000 (0.034) Loss 1.8009 (1.7823) Prec@1 60.156 (59.375) Prec@5 82.031 (81.279) Epoch: [38][90/10010] Time 0.327 (0.352) Data 0.000 (0.030) Loss 1.7340 (1.7879) Prec@1 61.719 (59.289) Prec@5 85.156 (81.241) Epoch: [38][100/10010] Time 0.335 (0.350) Data 0.000 (0.027) Loss 1.9642 (1.7908) Prec@1 53.125 (59.251) Prec@5 78.125 (81.173) Epoch: [38][110/10010] Time 0.328 (0.348) Data 0.000 (0.025) Loss 1.6883 (1.7821) Prec@1 58.594 (59.382) Prec@5 82.812 (81.327) Epoch: [38][120/10010] Time 0.327 (0.346) Data 0.000 (0.023) Loss 1.8656 (1.7874) Prec@1 57.812 (59.265) Prec@5 79.688 (81.237) Epoch: [38][130/10010] Time 0.325 (0.345) Data 0.001 (0.021) Loss 1.8767 (1.7905) Prec@1 59.375 (59.256) Prec@5 79.688 (81.226) Epoch: [38][140/10010] Time 0.322 (0.343) Data 0.001 (0.019) Loss 1.9250 (1.7974) Prec@1 59.375 (59.303) Prec@5 82.031 (81.139) Epoch: [38][150/10010] Time 0.341 (0.342) Data 0.001 (0.018) Loss 1.9590 (1.7905) Prec@1 56.250 (59.406) Prec@5 78.906 (81.234) Epoch: [38][160/10010] Time 0.340 (0.342) Data 0.001 (0.017) Loss 1.6790 (1.7836) Prec@1 59.375 (59.593) Prec@5 80.469 (81.323) Epoch: [38][170/10010] Time 0.340 (0.341) Data 0.001 (0.016) Loss 1.8897 (1.7871) Prec@1 59.375 (59.489) Prec@5 82.812 (81.277) Epoch: [38][180/10010] Time 0.319 (0.341) Data 0.000 (0.015) Loss 1.8557 (1.7874) Prec@1 51.562 (59.496) Prec@5 81.250 (81.246) Epoch: [38][190/10010] Time 0.326 (0.340) Data 0.001 (0.015) Loss 1.5649 (1.7834) Prec@1 63.281 (59.604) Prec@5 82.031 (81.205) Epoch: [38][200/10010] Time 0.318 (0.339) Data 0.001 (0.014) Loss 1.8174 (1.7831) Prec@1 60.156 (59.534) Prec@5 77.344 (81.149) Epoch: [38][210/10010] Time 0.332 (0.339) Data 0.000 (0.013) Loss 1.7592 (1.7844) Prec@1 57.031 (59.490) Prec@5 77.344 (81.080) Epoch: [38][220/10010] Time 0.340 (0.338) Data 0.001 (0.013) Loss 1.7722 (1.7796) Prec@1 67.188 (59.637) Prec@5 79.688 (81.162) Epoch: [38][230/10010] Time 0.326 (0.338) Data 0.001 (0.012) Loss 1.9114 (1.7777) Prec@1 53.125 (59.591) Prec@5 80.469 (81.216) /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][240/10010] Time 0.316 (0.337) Data 0.000 (0.012) Loss 2.0431 (1.7774) Prec@1 56.250 (59.667) Prec@5 75.781 (81.279) Epoch: [38][250/10010] Time 0.344 (0.337) Data 0.001 (0.011) Loss 1.6924 (1.7747) Prec@1 61.719 (59.674) Prec@5 82.812 (81.328) Epoch: [38][260/10010] Time 0.323 (0.337) Data 0.001 (0.011) Loss 1.8359 (1.7728) Prec@1 58.594 (59.677) Prec@5 78.125 (81.301) Epoch: [38][270/10010] Time 0.319 (0.336) Data 0.001 (0.010) Loss 2.1675 (1.7735) Prec@1 51.562 (59.707) Prec@5 70.312 (81.273) Epoch: [38][280/10010] Time 0.326 (0.336) Data 0.001 (0.010) Loss 1.5772 (1.7709) Prec@1 64.844 (59.714) Prec@5 83.594 (81.333) Epoch: [38][290/10010] Time 0.339 (0.336) Data 0.000 (0.010) Loss 1.9833 (1.7737) Prec@1 59.375 (59.703) Prec@5 77.344 (81.269) Epoch: [38][300/10010] Time 0.339 (0.335) Data 0.000 (0.009) Loss 1.8936 (1.7713) Prec@1 60.156 (59.738) Prec@5 80.469 (81.320) Epoch: [38][310/10010] Time 0.343 (0.335) Data 0.001 (0.009) Loss 1.7359 (1.7699) Prec@1 60.156 (59.802) Prec@5 83.594 (81.335) Epoch: [38][320/10010] Time 0.324 (0.335) Data 0.001 (0.009) Loss 1.9669 (1.7709) Prec@1 62.500 (59.808) Prec@5 78.906 (81.294) Epoch: [38][330/10010] Time 0.322 (0.335) Data 0.000 (0.009) Loss 1.6615 (1.7738) Prec@1 57.031 (59.753) Prec@5 84.375 (81.257) Epoch: [38][340/10010] Time 0.325 (0.335) Data 0.001 (0.008) Loss 1.7450 (1.7759) Prec@1 63.281 (59.748) Prec@5 81.250 (81.236) Epoch: [38][350/10010] Time 0.319 (0.334) Data 0.000 (0.008) Loss 1.8806 (1.7757) Prec@1 60.156 (59.749) Prec@5 80.469 (81.261) Epoch: [38][360/10010] Time 0.324 (0.334) Data 0.000 (0.008) Loss 1.6048 (1.7747) Prec@1 63.281 (59.773) Prec@5 84.375 (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 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [38][370/10010] Time 0.322 (0.334) Data 0.001 (0.008) Loss 1.7816 (1.7739) Prec@1 54.688 (59.773) Prec@5 82.812 (81.292) Epoch: [38][380/10010] Time 0.337 (0.334) Data 0.000 (0.008) Loss 1.8077 (1.7746) Prec@1 62.500 (59.765) Prec@5 80.469 (81.277) Epoch: [38][390/10010] Time 0.325 (0.334) Data 0.001 (0.007) Loss 1.8363 (1.7719) Prec@1 58.594 (59.807) Prec@5 78.906 (81.320) Epoch: [38][400/10010] Time 0.334 (0.334) Data 0.001 (0.007) Loss 2.0622 (1.7720) Prec@1 50.781 (59.786) Prec@5 78.906 (81.297) Epoch: [38][410/10010] Time 0.339 (0.334) Data 0.000 (0.007) Loss 1.4408 (1.7692) Prec@1 69.531 (59.862) Prec@5 85.938 (81.313) Epoch: [38][420/10010] Time 0.319 (0.333) Data 0.001 (0.007) Loss 1.9000 (1.7687) Prec@1 57.031 (59.835) Prec@5 79.688 (81.328) Epoch: [38][430/10010] Time 0.326 (0.333) Data 0.000 (0.007) Loss 1.8632 (1.7667) Prec@1 58.594 (59.868) Prec@5 78.125 (81.361) Epoch: [38][440/10010] Time 0.327 (0.333) Data 0.000 (0.007) Loss 1.7384 (1.7653) Prec@1 61.719 (59.906) Prec@5 82.031 (81.381) Epoch: [38][450/10010] Time 0.318 (0.333) Data 0.000 (0.006) Loss 1.7646 (1.7658) Prec@1 60.938 (59.867) Prec@5 80.469 (81.376) Epoch: [38][460/10010] Time 0.334 (0.333) Data 0.001 (0.006) Loss 1.9572 (1.7673) Prec@1 50.781 (59.831) Prec@5 73.438 (81.336) Epoch: [38][470/10010] Time 0.328 (0.333) Data 0.000 (0.006) Loss 2.0879 (1.7665) Prec@1 56.250 (59.871) Prec@5 75.000 (81.366) Epoch: [38][480/10010] Time 0.322 (0.333) Data 0.000 (0.006) Loss 1.6686 (1.7666) Prec@1 64.844 (59.877) Prec@5 83.594 (81.344) Epoch: [38][490/10010] Time 0.325 (0.333) Data 0.000 (0.006) Loss 1.7750 (1.7679) Prec@1 64.844 (59.854) Prec@5 81.250 (81.336) Epoch: [38][500/10010] Time 0.338 (0.333) Data 0.001 (0.006) Loss 1.8838 (1.7679) Prec@1 60.156 (59.854) Prec@5 76.562 (81.315) Epoch: [38][510/10010] Time 0.342 (0.333) Data 0.001 (0.006) Loss 1.8311 (1.7694) Prec@1 58.594 (59.815) Prec@5 85.156 (81.300) Epoch: [38][520/10010] Time 0.325 (0.333) Data 0.000 (0.006) Loss 1.7788 (1.7709) Prec@1 57.031 (59.772) Prec@5 79.688 (81.254) Epoch: [38][530/10010] Time 0.321 (0.333) Data 0.000 (0.006) Loss 1.7189 (1.7707) Prec@1 64.844 (59.788) Prec@5 85.156 (81.262) Epoch: [38][540/10010] Time 0.341 (0.333) Data 0.001 (0.005) Loss 1.8217 (1.7711) Prec@1 55.469 (59.787) Prec@5 82.031 (81.249) Epoch: [38][550/10010] Time 0.332 (0.333) Data 0.000 (0.005) Loss 1.7602 (1.7713) Prec@1 57.812 (59.788) Prec@5 81.250 (81.243) Epoch: [38][560/10010] Time 0.322 (0.333) Data 0.001 (0.005) Loss 1.6824 (1.7701) Prec@1 60.156 (59.819) Prec@5 83.594 (81.256) Epoch: [38][570/10010] Time 0.334 (0.333) Data 0.001 (0.005) Loss 1.4630 (1.7708) Prec@1 64.062 (59.821) Prec@5 85.156 (81.260) Epoch: [38][580/10010] Time 0.329 (0.333) Data 0.000 (0.005) Loss 1.7389 (1.7722) Prec@1 61.719 (59.816) Prec@5 83.594 (81.218) Epoch: [38][590/10010] Time 0.326 (0.333) Data 0.001 (0.005) Loss 1.6571 (1.7709) Prec@1 60.938 (59.838) Prec@5 88.281 (81.249) Epoch: [38][600/10010] Time 0.324 (0.333) Data 0.000 (0.005) Loss 1.8602 (1.7708) Prec@1 57.812 (59.852) Prec@5 78.906 (81.255) Epoch: [38][610/10010] Time 0.323 (0.332) Data 0.000 (0.005) Loss 1.4815 (1.7711) Prec@1 67.969 (59.853) Prec@5 85.156 (81.250) Epoch: [38][620/10010] Time 0.328 (0.332) Data 0.000 (0.005) Loss 1.9751 (1.7703) Prec@1 55.469 (59.874) Prec@5 79.688 (81.274) Epoch: [38][630/10010] Time 0.334 (0.332) Data 0.001 (0.005) Loss 1.5595 (1.7714) Prec@1 62.500 (59.829) Prec@5 83.594 (81.266) Epoch: [38][640/10010] Time 0.324 (0.332) Data 0.000 (0.005) Loss 1.9618 (1.7711) Prec@1 59.375 (59.848) Prec@5 78.906 (81.263) Epoch: [38][650/10010] Time 0.337 (0.332) Data 0.000 (0.005) Loss 1.8895 (1.7717) Prec@1 57.031 (59.851) Prec@5 79.688 (81.258) Epoch: [38][660/10010] Time 0.342 (0.332) Data 0.000 (0.005) Loss 1.5541 (1.7722) Prec@1 61.719 (59.836) Prec@5 85.938 (81.258) Epoch: [38][670/10010] Time 0.332 (0.332) Data 0.000 (0.005) Loss 1.8586 (1.7719) Prec@1 60.156 (59.863) Prec@5 82.812 (81.266) Epoch: [38][680/10010] Time 0.322 (0.332) Data 0.000 (0.004) Loss 1.4232 (1.7718) Prec@1 68.750 (59.859) Prec@5 85.156 (81.272) Epoch: [38][690/10010] Time 0.326 (0.332) Data 0.000 (0.004) Loss 1.6666 (1.7716) Prec@1 60.156 (59.849) Prec@5 81.250 (81.283) Epoch: [38][700/10010] Time 0.330 (0.332) Data 0.001 (0.004) Loss 1.7953 (1.7707) Prec@1 56.250 (59.851) Prec@5 78.125 (81.303) Epoch: [38][710/10010] Time 0.339 (0.332) Data 0.001 (0.004) Loss 2.0118 (1.7723) Prec@1 53.125 (59.828) Prec@5 79.688 (81.280) Epoch: [38][720/10010] Time 0.329 (0.332) Data 0.000 (0.004) Loss 1.7013 (1.7721) Prec@1 66.406 (59.836) Prec@5 82.812 (81.283) Epoch: [38][730/10010] Time 0.338 (0.332) Data 0.001 (0.004) Loss 1.5572 (1.7720) Prec@1 60.156 (59.821) Prec@5 89.062 (81.305) Epoch: [38][740/10010] Time 0.329 (0.332) Data 0.001 (0.004) Loss 1.9810 (1.7734) Prec@1 49.219 (59.765) Prec@5 81.250 (81.291) Epoch: [38][750/10010] Time 0.323 (0.332) Data 0.001 (0.004) Loss 2.1417 (1.7733) Prec@1 53.906 (59.757) Prec@5 76.562 (81.305) Epoch: [38][760/10010] Time 0.331 (0.332) Data 0.000 (0.004) Loss 1.7371 (1.7720) Prec@1 57.812 (59.767) Prec@5 78.906 (81.324) Epoch: [38][770/10010] Time 0.334 (0.332) Data 0.000 (0.004) Loss 1.5583 (1.7716) Prec@1 57.812 (59.766) Prec@5 85.938 (81.331) Epoch: [38][780/10010] Time 0.338 (0.332) Data 0.000 (0.004) Loss 1.9501 (1.7722) Prec@1 59.375 (59.750) Prec@5 79.688 (81.329) Epoch: [38][790/10010] Time 0.332 (0.332) Data 0.000 (0.004) Loss 1.8068 (1.7722) Prec@1 57.031 (59.749) Prec@5 84.375 (81.326) Epoch: [38][800/10010] Time 0.323 (0.332) Data 0.001 (0.004) Loss 2.0842 (1.7728) Prec@1 57.031 (59.749) Prec@5 75.781 (81.322) Epoch: [38][810/10010] Time 0.332 (0.332) Data 0.000 (0.004) Loss 1.7934 (1.7752) Prec@1 58.594 (59.707) Prec@5 82.031 (81.292) Epoch: [38][820/10010] Time 0.327 (0.332) Data 0.001 (0.004) Loss 1.9116 (1.7752) Prec@1 58.594 (59.708) Prec@5 79.688 (81.289) Epoch: [38][830/10010] Time 0.315 (0.332) Data 0.001 (0.004) Loss 1.7211 (1.7763) Prec@1 60.938 (59.699) Prec@5 82.031 (81.267) Epoch: [38][840/10010] Time 0.338 (0.332) Data 0.002 (0.004) Loss 1.8272 (1.7754) Prec@1 60.156 (59.699) Prec@5 82.812 (81.292) Epoch: [38][850/10010] Time 0.333 (0.332) Data 0.001 (0.004) Loss 1.5880 (1.7748) Prec@1 67.188 (59.714) Prec@5 85.156 (81.302) Epoch: [38][860/10010] Time 0.339 (0.332) Data 0.001 (0.004) Loss 1.7687 (1.7740) Prec@1 55.469 (59.708) Prec@5 82.812 (81.318) Epoch: [38][870/10010] Time 0.325 (0.332) Data 0.001 (0.004) Loss 2.2612 (1.7751) Prec@1 49.219 (59.673) Prec@5 75.000 (81.308) Epoch: [38][880/10010] Time 0.327 (0.332) Data 0.001 (0.004) Loss 1.5155 (1.7742) Prec@1 63.281 (59.686) Prec@5 86.719 (81.311) Epoch: [38][890/10010] Time 0.338 (0.332) Data 0.001 (0.004) Loss 1.6667 (1.7739) Prec@1 61.719 (59.707) Prec@5 82.031 (81.305) Epoch: [38][900/10010] Time 0.323 (0.332) Data 0.001 (0.004) Loss 1.4948 (1.7736) Prec@1 63.281 (59.716) Prec@5 85.156 (81.314) Epoch: [38][910/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 1.7598 (1.7738) Prec@1 60.156 (59.706) Prec@5 79.688 (81.301) Epoch: [38][920/10010] Time 0.320 (0.332) Data 0.001 (0.003) Loss 1.7556 (1.7733) Prec@1 56.250 (59.722) Prec@5 82.812 (81.317) Epoch: [38][930/10010] Time 0.325 (0.331) Data 0.000 (0.003) Loss 1.6424 (1.7737) Prec@1 59.375 (59.712) Prec@5 82.812 (81.316) Epoch: [38][940/10010] Time 0.332 (0.332) Data 0.000 (0.003) Loss 1.8893 (1.7743) Prec@1 56.250 (59.684) Prec@5 77.344 (81.298) Epoch: [38][950/10010] Time 0.333 (0.331) Data 0.001 (0.003) Loss 1.7958 (1.7743) Prec@1 57.812 (59.691) Prec@5 82.812 (81.302) Epoch: [38][960/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 1.7277 (1.7749) Prec@1 64.062 (59.699) Prec@5 82.812 (81.295) Epoch: [38][970/10010] Time 0.325 (0.331) Data 0.000 (0.003) Loss 1.6188 (1.7747) Prec@1 61.719 (59.687) Prec@5 83.594 (81.308) Epoch: [38][980/10010] Time 0.327 (0.331) Data 0.000 (0.003) Loss 1.6323 (1.7742) Prec@1 64.844 (59.681) Prec@5 82.031 (81.320) Epoch: [38][990/10010] Time 0.342 (0.331) Data 0.000 (0.003) Loss 1.5057 (1.7739) Prec@1 67.188 (59.690) Prec@5 84.375 (81.332) Epoch: [38][1000/10010] Time 0.317 (0.331) Data 0.000 (0.003) Loss 2.1410 (1.7740) Prec@1 53.125 (59.676) Prec@5 75.781 (81.325) Epoch: [38][1010/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 2.0808 (1.7751) Prec@1 51.562 (59.652) Prec@5 75.000 (81.299) Epoch: [38][1020/10010] Time 0.334 (0.331) Data 0.000 (0.003) Loss 1.7432 (1.7764) Prec@1 57.812 (59.624) Prec@5 79.688 (81.277) Epoch: [38][1030/10010] Time 0.323 (0.331) Data 0.001 (0.003) Loss 1.8453 (1.7777) Prec@1 58.594 (59.602) Prec@5 78.906 (81.244) Epoch: [38][1040/10010] Time 0.331 (0.331) Data 0.001 (0.003) Loss 1.8265 (1.7789) Prec@1 60.156 (59.593) Prec@5 82.812 (81.218) Epoch: [38][1050/10010] Time 0.322 (0.331) Data 0.000 (0.003) Loss 1.8468 (1.7795) Prec@1 58.594 (59.580) Prec@5 81.250 (81.207) Epoch: [38][1060/10010] Time 0.337 (0.331) Data 0.000 (0.003) Loss 1.5374 (1.7795) Prec@1 64.062 (59.564) Prec@5 87.500 (81.215) Epoch: [38][1070/10010] Time 0.342 (0.331) Data 0.000 (0.003) Loss 1.7136 (1.7787) Prec@1 55.469 (59.568) Prec@5 78.125 (81.225) Epoch: [38][1080/10010] Time 0.324 (0.331) Data 0.001 (0.003) Loss 2.3208 (1.7793) Prec@1 53.125 (59.556) Prec@5 77.344 (81.220) Epoch: [38][1090/10010] Time 0.343 (0.331) Data 0.000 (0.003) Loss 1.8332 (1.7795) Prec@1 55.469 (59.550) Prec@5 81.250 (81.213) Epoch: [38][1100/10010] Time 0.321 (0.331) Data 0.001 (0.003) Loss 1.9708 (1.7807) Prec@1 57.031 (59.535) Prec@5 79.688 (81.188) Epoch: [38][1110/10010] Time 0.322 (0.331) Data 0.001 (0.003) Loss 1.6464 (1.7805) Prec@1 60.156 (59.529) Prec@5 82.031 (81.196) Epoch: [38][1120/10010] Time 0.332 (0.331) Data 0.001 (0.003) Loss 2.0334 (1.7807) Prec@1 55.469 (59.523) Prec@5 75.000 (81.190) Epoch: [38][1130/10010] Time 0.334 (0.331) Data 0.000 (0.003) Loss 1.8046 (1.7799) Prec@1 61.719 (59.547) Prec@5 81.250 (81.204) Epoch: [38][1140/10010] Time 0.323 (0.331) Data 0.001 (0.003) Loss 1.7466 (1.7796) Prec@1 56.250 (59.562) Prec@5 85.938 (81.208) Epoch: [38][1150/10010] Time 0.317 (0.331) Data 0.001 (0.003) Loss 1.7806 (1.7800) Prec@1 60.938 (59.562) Prec@5 79.688 (81.202) Epoch: [38][1160/10010] Time 0.325 (0.331) Data 0.000 (0.003) Loss 1.5136 (1.7796) Prec@1 67.188 (59.567) Prec@5 88.281 (81.212) Epoch: [38][1170/10010] Time 0.320 (0.331) Data 0.001 (0.003) Loss 1.6994 (1.7803) Prec@1 60.156 (59.555) Prec@5 87.500 (81.205) Epoch: [38][1180/10010] Time 0.333 (0.331) Data 0.000 (0.003) Loss 1.7145 (1.7801) Prec@1 56.250 (59.561) Prec@5 82.812 (81.211) Epoch: [38][1190/10010] Time 0.332 (0.331) Data 0.000 (0.003) Loss 1.7212 (1.7809) Prec@1 62.500 (59.546) Prec@5 78.906 (81.204) Epoch: [38][1200/10010] Time 0.329 (0.331) Data 0.000 (0.003) Loss 1.6974 (1.7809) Prec@1 60.938 (59.539) Prec@5 84.375 (81.199) Epoch: [38][1210/10010] Time 0.328 (0.331) Data 0.000 (0.003) Loss 1.4542 (1.7804) Prec@1 64.844 (59.541) Prec@5 88.281 (81.207) Epoch: [38][1220/10010] Time 0.328 (0.331) Data 0.000 (0.003) Loss 1.7249 (1.7806) Prec@1 60.938 (59.541) Prec@5 78.906 (81.197) Epoch: [38][1230/10010] Time 0.330 (0.331) Data 0.000 (0.003) Loss 1.9020 (1.7801) Prec@1 54.688 (59.544) Prec@5 81.250 (81.201) Epoch: [38][1240/10010] Time 0.342 (0.331) Data 0.001 (0.003) Loss 1.5569 (1.7799) Prec@1 63.281 (59.542) Prec@5 84.375 (81.201) Epoch: [38][1250/10010] Time 0.345 (0.331) Data 0.000 (0.003) Loss 1.5488 (1.7793) Prec@1 66.406 (59.555) Prec@5 86.719 (81.216) Epoch: [38][1260/10010] Time 0.331 (0.331) Data 0.000 (0.003) Loss 1.8352 (1.7795) Prec@1 53.906 (59.556) Prec@5 82.812 (81.217) Epoch: [38][1270/10010] Time 0.324 (0.331) Data 0.000 (0.003) Loss 1.8673 (1.7794) Prec@1 60.156 (59.562) Prec@5 78.125 (81.214) Epoch: [38][1280/10010] Time 0.338 (0.331) Data 0.001 (0.003) Loss 1.6243 (1.7791) Prec@1 64.844 (59.569) Prec@5 81.250 (81.212) Epoch: [38][1290/10010] Time 0.325 (0.331) Data 0.001 (0.003) Loss 1.9155 (1.7797) Prec@1 60.938 (59.557) Prec@5 79.688 (81.206) Epoch: [38][1300/10010] Time 0.336 (0.331) Data 0.000 (0.003) Loss 1.8290 (1.7800) Prec@1 60.156 (59.572) Prec@5 83.594 (81.206) Epoch: [38][1310/10010] Time 0.314 (0.331) Data 0.001 (0.003) Loss 1.5768 (1.7796) Prec@1 62.500 (59.579) Prec@5 85.938 (81.213) Epoch: [38][1320/10010] Time 0.331 (0.331) Data 0.000 (0.003) Loss 1.6078 (1.7803) Prec@1 62.500 (59.573) Prec@5 84.375 (81.205) Epoch: [38][1330/10010] Time 0.327 (0.331) Data 0.001 (0.003) Loss 2.0886 (1.7806) Prec@1 55.469 (59.564) Prec@5 76.562 (81.185) Epoch: [38][1340/10010] Time 0.335 (0.331) Data 0.000 (0.003) Loss 1.9050 (1.7805) Prec@1 54.688 (59.556) Prec@5 78.125 (81.188) Epoch: [38][1350/10010] Time 0.323 (0.331) Data 0.001 (0.003) Loss 2.1129 (1.7807) Prec@1 51.562 (59.553) Prec@5 78.125 (81.186) Epoch: [38][1360/10010] Time 0.340 (0.331) Data 0.000 (0.003) Loss 1.7378 (1.7808) Prec@1 56.250 (59.544) Prec@5 81.250 (81.188) Epoch: [38][1370/10010] Time 0.331 (0.331) Data 0.000 (0.003) Loss 1.4627 (1.7809) Prec@1 64.844 (59.545) Prec@5 86.719 (81.195) Epoch: [38][1380/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 1.6492 (1.7810) Prec@1 59.375 (59.542) Prec@5 85.156 (81.202) Epoch: [38][1390/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 1.5321 (1.7808) Prec@1 64.062 (59.543) Prec@5 85.156 (81.208) Epoch: [38][1400/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.9666 (1.7811) Prec@1 55.469 (59.537) Prec@5 80.469 (81.207) Epoch: [38][1410/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.8860 (1.7814) Prec@1 54.688 (59.523) Prec@5 83.594 (81.211) Epoch: [38][1420/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.0217 (1.7813) Prec@1 53.125 (59.516) Prec@5 84.375 (81.226) Epoch: [38][1430/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.9819 (1.7811) Prec@1 54.688 (59.521) Prec@5 75.781 (81.225) Epoch: [38][1440/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.8535 (1.7812) Prec@1 59.375 (59.530) Prec@5 81.250 (81.222) Epoch: [38][1450/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 1.7954 (1.7810) Prec@1 63.281 (59.541) Prec@5 81.250 (81.226) Epoch: [38][1460/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.8514 (1.7812) Prec@1 53.906 (59.536) Prec@5 82.812 (81.225) Epoch: [38][1470/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 1.9255 (1.7814) Prec@1 60.156 (59.539) Prec@5 78.906 (81.220) Epoch: [38][1480/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 1.5080 (1.7808) Prec@1 63.281 (59.551) Prec@5 81.250 (81.226) Epoch: [38][1490/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.9678 (1.7811) Prec@1 51.562 (59.546) Prec@5 77.344 (81.221) Epoch: [38][1500/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.9183 (1.7819) Prec@1 53.125 (59.521) Prec@5 78.125 (81.209) Epoch: [38][1510/10010] Time 0.319 (0.331) Data 0.001 (0.002) Loss 1.8291 (1.7818) Prec@1 58.594 (59.518) Prec@5 75.781 (81.203) Epoch: [38][1520/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 1.6560 (1.7827) Prec@1 63.281 (59.503) Prec@5 84.375 (81.193) Epoch: [38][1530/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.6466 (1.7829) Prec@1 64.062 (59.497) Prec@5 78.125 (81.190) Epoch: [38][1540/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.9344 (1.7833) Prec@1 53.125 (59.488) Prec@5 83.594 (81.188) Epoch: [38][1550/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.8807 (1.7833) Prec@1 53.906 (59.490) Prec@5 79.688 (81.187) Epoch: [38][1560/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.5776 (1.7832) Prec@1 63.281 (59.490) Prec@5 82.812 (81.185) Epoch: [38][1570/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 2.0420 (1.7837) Prec@1 61.719 (59.484) Prec@5 78.125 (81.172) Epoch: [38][1580/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 1.5386 (1.7841) Prec@1 58.594 (59.477) Prec@5 87.500 (81.163) Epoch: [38][1590/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.8394 (1.7841) Prec@1 54.688 (59.467) Prec@5 82.812 (81.169) Epoch: [38][1600/10010] Time 0.329 (0.331) Data 0.000 (0.002) Loss 1.9616 (1.7845) Prec@1 50.781 (59.458) Prec@5 78.906 (81.160) Epoch: [38][1610/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.5524 (1.7842) Prec@1 64.062 (59.467) Prec@5 84.375 (81.160) /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][1620/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.5780 (1.7843) Prec@1 63.281 (59.470) Prec@5 81.250 (81.159) Epoch: [38][1630/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 1.6723 (1.7845) Prec@1 59.375 (59.455) Prec@5 85.156 (81.160) Epoch: [38][1640/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.3968 (1.7838) Prec@1 64.844 (59.471) Prec@5 87.500 (81.166) Epoch: [38][1650/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 1.7709 (1.7837) Prec@1 59.375 (59.475) Prec@5 82.812 (81.167) Epoch: [38][1660/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.6211 (1.7841) Prec@1 60.938 (59.460) Prec@5 82.031 (81.161) Epoch: [38][1670/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 2.0549 (1.7849) Prec@1 57.812 (59.449) Prec@5 77.344 (81.150) Epoch: [38][1680/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.9666 (1.7852) Prec@1 60.938 (59.449) Prec@5 76.562 (81.142) Epoch: [38][1690/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.6021 (1.7851) Prec@1 64.844 (59.452) Prec@5 82.812 (81.139) Epoch: [38][1700/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.1720 (1.7849) Prec@1 51.562 (59.450) Prec@5 76.562 (81.138) Epoch: [38][1710/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.5824 (1.7851) Prec@1 61.719 (59.445) Prec@5 82.031 (81.129) Epoch: [38][1720/10010] Time 0.330 (0.331) Data 0.000 (0.002) Loss 1.5640 (1.7851) Prec@1 65.625 (59.444) Prec@5 85.938 (81.131) Epoch: [38][1730/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 2.0895 (1.7854) Prec@1 56.250 (59.439) Prec@5 77.344 (81.129) Epoch: [38][1740/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.8593 (1.7848) Prec@1 57.031 (59.447) Prec@5 80.469 (81.147) Epoch: [38][1750/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 2.1219 (1.7848) Prec@1 56.250 (59.442) Prec@5 78.125 (81.149) Epoch: [38][1760/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.9647 (1.7850) Prec@1 57.031 (59.433) Prec@5 71.094 (81.144) Epoch: [38][1770/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.9111 (1.7848) Prec@1 50.000 (59.433) Prec@5 81.250 (81.153) Epoch: [38][1780/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.7112 (1.7842) Prec@1 60.938 (59.446) Prec@5 82.812 (81.161) Epoch: [38][1790/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.7933 (1.7841) Prec@1 57.812 (59.442) Prec@5 78.125 (81.159) /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][1800/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.9517 (1.7842) Prec@1 59.375 (59.439) Prec@5 77.344 (81.159) Epoch: [38][1810/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.7964 (1.7849) Prec@1 56.250 (59.426) Prec@5 84.375 (81.151) Epoch: [38][1820/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.6119 (1.7849) Prec@1 60.938 (59.427) Prec@5 87.500 (81.155) Epoch: [38][1830/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.7430 (1.7849) Prec@1 64.844 (59.434) Prec@5 80.469 (81.153) Epoch: [38][1840/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.6544 (1.7858) Prec@1 64.844 (59.426) Prec@5 80.469 (81.135) Epoch: [38][1850/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.9465 (1.7862) Prec@1 56.250 (59.417) Prec@5 75.781 (81.124) Epoch: [38][1860/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 2.0535 (1.7863) Prec@1 55.469 (59.418) Prec@5 76.562 (81.124) Epoch: [38][1870/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.4405 (1.7866) Prec@1 62.500 (59.414) Prec@5 86.719 (81.120) Epoch: [38][1880/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.7725 (1.7869) Prec@1 59.375 (59.410) Prec@5 84.375 (81.120) Epoch: [38][1890/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.5778 (1.7868) Prec@1 67.969 (59.415) Prec@5 84.375 (81.128) Epoch: [38][1900/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.6717 (1.7867) Prec@1 67.969 (59.419) Prec@5 82.031 (81.131) Epoch: [38][1910/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.9105 (1.7870) Prec@1 54.688 (59.406) Prec@5 81.250 (81.131) Epoch: [38][1920/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.5209 (1.7870) Prec@1 62.500 (59.395) Prec@5 83.594 (81.135) Epoch: [38][1930/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 2.1671 (1.7874) Prec@1 49.219 (59.390) Prec@5 75.781 (81.121) Epoch: [38][1940/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.7621 (1.7873) Prec@1 57.812 (59.394) Prec@5 80.469 (81.123) Epoch: [38][1950/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.6438 (1.7873) Prec@1 64.844 (59.383) Prec@5 86.719 (81.124) Epoch: [38][1960/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 1.5922 (1.7873) Prec@1 66.406 (59.386) Prec@5 83.594 (81.129) Epoch: [38][1970/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.6250 (1.7876) Prec@1 60.938 (59.379) Prec@5 85.156 (81.120) Epoch: [38][1980/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 2.0770 (1.7878) Prec@1 49.219 (59.377) Prec@5 77.344 (81.110) Epoch: [38][1990/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.5324 (1.7876) Prec@1 67.188 (59.381) Prec@5 85.938 (81.112) Epoch: [38][2000/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.6692 (1.7870) Prec@1 61.719 (59.398) Prec@5 82.812 (81.117) Epoch: [38][2010/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.6113 (1.7868) Prec@1 60.938 (59.405) Prec@5 84.375 (81.123) Epoch: [38][2020/10010] Time 0.318 (0.331) Data 0.001 (0.002) Loss 1.6817 (1.7873) Prec@1 59.375 (59.397) Prec@5 83.594 (81.116) Epoch: [38][2030/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.5522 (1.7867) Prec@1 65.625 (59.410) Prec@5 85.938 (81.127) Epoch: [38][2040/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.5831 (1.7868) Prec@1 67.969 (59.405) Prec@5 82.812 (81.127) Epoch: [38][2050/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.7959 (1.7873) Prec@1 57.812 (59.399) Prec@5 80.469 (81.114) Epoch: [38][2060/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 2.0494 (1.7873) Prec@1 57.031 (59.397) Prec@5 75.781 (81.115) Epoch: [38][2070/10010] Time 0.347 (0.331) Data 0.000 (0.002) Loss 1.7309 (1.7875) Prec@1 57.812 (59.391) Prec@5 80.469 (81.111) Epoch: [38][2080/10010] Time 0.319 (0.331) Data 0.000 (0.002) Loss 2.1553 (1.7878) Prec@1 49.219 (59.378) Prec@5 76.562 (81.107) Epoch: [38][2090/10010] Time 0.314 (0.331) Data 0.001 (0.002) Loss 1.3942 (1.7870) Prec@1 67.188 (59.397) Prec@5 83.594 (81.117) Epoch: [38][2100/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 1.7837 (1.7866) Prec@1 56.250 (59.394) Prec@5 79.688 (81.122) Epoch: [38][2110/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.7250 (1.7866) Prec@1 56.250 (59.394) Prec@5 81.250 (81.125) Epoch: [38][2120/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.6464 (1.7863) Prec@1 64.062 (59.400) Prec@5 80.469 (81.124) Epoch: [38][2130/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.7454 (1.7867) Prec@1 57.812 (59.390) Prec@5 82.812 (81.124) Epoch: [38][2140/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.9218 (1.7870) Prec@1 62.500 (59.385) Prec@5 79.688 (81.120) Epoch: [38][2150/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.5934 (1.7870) Prec@1 64.844 (59.386) Prec@5 83.594 (81.120) Epoch: [38][2160/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.7602 (1.7867) Prec@1 62.500 (59.389) Prec@5 80.469 (81.123) Epoch: [38][2170/10010] Time 0.322 (0.331) Data 0.001 (0.002) Loss 1.8851 (1.7869) Prec@1 53.125 (59.384) Prec@5 77.344 (81.118) Epoch: [38][2180/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.8598 (1.7868) Prec@1 57.812 (59.386) Prec@5 79.688 (81.119) Epoch: [38][2190/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 1.9417 (1.7870) Prec@1 55.469 (59.383) Prec@5 77.344 (81.118) Epoch: [38][2200/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.6875 (1.7867) Prec@1 64.844 (59.394) Prec@5 82.031 (81.123) Epoch: [38][2210/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.6483 (1.7869) Prec@1 62.500 (59.396) Prec@5 84.375 (81.126) Epoch: [38][2220/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.1574 (1.7870) Prec@1 55.469 (59.395) Prec@5 77.344 (81.127) Epoch: [38][2230/10010] Time 0.344 (0.331) Data 0.001 (0.002) Loss 1.8193 (1.7872) Prec@1 56.250 (59.391) Prec@5 79.688 (81.124) Epoch: [38][2240/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.6748 (1.7870) Prec@1 63.281 (59.399) Prec@5 81.250 (81.120) Epoch: [38][2250/10010] Time 0.312 (0.331) Data 0.001 (0.002) Loss 1.8059 (1.7871) Prec@1 59.375 (59.396) Prec@5 79.688 (81.118) Epoch: [38][2260/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.8038 (1.7869) Prec@1 58.594 (59.396) Prec@5 80.469 (81.121) Epoch: [38][2270/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.6393 (1.7868) Prec@1 65.625 (59.405) Prec@5 82.031 (81.115) Epoch: [38][2280/10010] Time 0.335 (0.331) Data 0.000 (0.002) Loss 1.5288 (1.7865) Prec@1 64.844 (59.421) Prec@5 88.281 (81.121) Epoch: [38][2290/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.7281 (1.7864) Prec@1 55.469 (59.419) Prec@5 84.375 (81.127) Epoch: [38][2300/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.1915 (1.7867) Prec@1 57.031 (59.421) Prec@5 75.000 (81.123) Epoch: [38][2310/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.8755 (1.7869) Prec@1 57.812 (59.419) Prec@5 75.781 (81.116) Epoch: [38][2320/10010] Time 0.316 (0.331) Data 0.000 (0.002) Loss 1.6827 (1.7870) Prec@1 56.250 (59.413) Prec@5 85.156 (81.117) Epoch: [38][2330/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.9294 (1.7872) Prec@1 56.250 (59.406) Prec@5 80.469 (81.116) Epoch: [38][2340/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.1663 (1.7877) Prec@1 53.125 (59.400) Prec@5 75.781 (81.114) Epoch: [38][2350/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 2.0235 (1.7879) Prec@1 57.031 (59.392) Prec@5 78.906 (81.111) Epoch: [38][2360/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.9923 (1.7881) Prec@1 59.375 (59.397) Prec@5 76.562 (81.108) Epoch: [38][2370/10010] Time 0.336 (0.331) Data 0.000 (0.002) Loss 1.5972 (1.7882) Prec@1 64.844 (59.395) Prec@5 85.938 (81.105) Epoch: [38][2380/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 2.1221 (1.7883) Prec@1 51.562 (59.396) Prec@5 78.906 (81.104) Epoch: [38][2390/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 1.8524 (1.7886) Prec@1 55.469 (59.386) Prec@5 79.688 (81.098) Epoch: [38][2400/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.6731 (1.7889) Prec@1 60.156 (59.382) Prec@5 82.812 (81.092) Epoch: [38][2410/10010] Time 0.346 (0.331) Data 0.001 (0.002) Loss 1.8900 (1.7888) Prec@1 51.562 (59.380) Prec@5 80.469 (81.090) Epoch: [38][2420/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.5222 (1.7890) Prec@1 57.812 (59.372) Prec@5 86.719 (81.091) Epoch: [38][2430/10010] Time 0.343 (0.331) Data 0.001 (0.002) Loss 2.1804 (1.7888) Prec@1 47.656 (59.373) Prec@5 71.094 (81.093) Epoch: [38][2440/10010] Time 0.312 (0.331) Data 0.001 (0.002) Loss 1.5364 (1.7889) Prec@1 68.750 (59.368) Prec@5 84.375 (81.093) Epoch: [38][2450/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.8335 (1.7891) Prec@1 55.469 (59.365) Prec@5 80.469 (81.086) Epoch: [38][2460/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 1.9163 (1.7889) Prec@1 63.281 (59.368) Prec@5 75.781 (81.085) Epoch: [38][2470/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.5369 (1.7890) Prec@1 60.156 (59.369) Prec@5 86.719 (81.087) Epoch: [38][2480/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.8959 (1.7887) Prec@1 59.375 (59.377) Prec@5 82.812 (81.098) Epoch: [38][2490/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.9695 (1.7889) Prec@1 57.031 (59.368) Prec@5 78.125 (81.099) Epoch: [38][2500/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.0727 (1.7892) Prec@1 57.812 (59.365) Prec@5 75.781 (81.094) Epoch: [38][2510/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.7658 (1.7892) Prec@1 62.500 (59.370) Prec@5 82.031 (81.095) Epoch: [38][2520/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.1298 (1.7894) Prec@1 50.781 (59.369) Prec@5 76.562 (81.089) Epoch: [38][2530/10010] Time 0.340 (0.331) Data 0.001 (0.002) Loss 1.5396 (1.7896) Prec@1 63.281 (59.359) Prec@5 85.156 (81.084) Epoch: [38][2540/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.8264 (1.7897) Prec@1 59.375 (59.352) Prec@5 81.250 (81.085) Epoch: [38][2550/10010] Time 0.322 (0.331) Data 0.000 (0.002) Loss 1.9142 (1.7897) Prec@1 57.031 (59.351) Prec@5 78.125 (81.086) Epoch: [38][2560/10010] Time 0.336 (0.331) Data 0.001 (0.002) Loss 1.5055 (1.7897) Prec@1 64.844 (59.346) Prec@5 85.938 (81.087) Epoch: [38][2570/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.8849 (1.7900) Prec@1 60.156 (59.338) Prec@5 83.594 (81.088) Epoch: [38][2580/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.0911 (1.7900) Prec@1 56.250 (59.337) Prec@5 74.219 (81.085) Epoch: [38][2590/10010] Time 0.312 (0.331) Data 0.003 (0.002) Loss 1.8034 (1.7898) Prec@1 56.250 (59.340) Prec@5 78.906 (81.088) Epoch: [38][2600/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 1.7919 (1.7901) Prec@1 57.812 (59.334) Prec@5 83.594 (81.088) Epoch: [38][2610/10010] Time 0.341 (0.330) Data 0.000 (0.002) Loss 1.5829 (1.7898) Prec@1 64.844 (59.338) Prec@5 82.812 (81.090) Epoch: [38][2620/10010] Time 0.334 (0.330) Data 0.001 (0.002) Loss 1.8099 (1.7897) Prec@1 58.594 (59.337) Prec@5 83.594 (81.090) Epoch: [38][2630/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.8488 (1.7894) Prec@1 57.812 (59.344) Prec@5 77.344 (81.095) Epoch: [38][2640/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.9449 (1.7895) Prec@1 62.500 (59.348) Prec@5 75.000 (81.089) Epoch: [38][2650/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 2.0928 (1.7896) Prec@1 57.031 (59.353) Prec@5 78.125 (81.086) Epoch: [38][2660/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.9992 (1.7899) Prec@1 55.469 (59.345) Prec@5 77.344 (81.079) Epoch: [38][2670/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 1.7605 (1.7900) Prec@1 61.719 (59.347) Prec@5 82.031 (81.077) Epoch: [38][2680/10010] Time 0.315 (0.331) Data 0.001 (0.002) Loss 1.8133 (1.7901) Prec@1 55.469 (59.337) Prec@5 79.688 (81.073) Epoch: [38][2690/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.8509 (1.7905) Prec@1 56.250 (59.331) Prec@5 81.250 (81.067) Epoch: [38][2700/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.8046 (1.7906) Prec@1 53.906 (59.327) Prec@5 82.031 (81.069) Epoch: [38][2710/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.6681 (1.7907) Prec@1 60.938 (59.328) Prec@5 82.031 (81.068) Epoch: [38][2720/10010] Time 0.345 (0.331) Data 0.000 (0.002) Loss 1.6061 (1.7904) Prec@1 60.156 (59.331) Prec@5 85.156 (81.073) Epoch: [38][2730/10010] Time 0.320 (0.331) Data 0.001 (0.002) Loss 2.0797 (1.7910) Prec@1 57.812 (59.324) Prec@5 71.875 (81.064) Epoch: [38][2740/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.8340 (1.7909) Prec@1 58.594 (59.323) Prec@5 84.375 (81.068) Epoch: [38][2750/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 2.1859 (1.7910) Prec@1 53.125 (59.318) Prec@5 75.000 (81.068) Epoch: [38][2760/10010] Time 0.321 (0.331) Data 0.000 (0.002) Loss 1.6911 (1.7909) Prec@1 60.156 (59.322) Prec@5 83.594 (81.065) Epoch: [38][2770/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 1.8606 (1.7906) Prec@1 60.156 (59.332) Prec@5 78.906 (81.067) Epoch: [38][2780/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.7723 (1.7906) Prec@1 52.344 (59.331) Prec@5 78.906 (81.065) Epoch: [38][2790/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.9680 (1.7908) Prec@1 59.375 (59.326) Prec@5 80.469 (81.063) Epoch: [38][2800/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 1.7559 (1.7908) Prec@1 58.594 (59.325) Prec@5 82.031 (81.067) Epoch: [38][2810/10010] Time 0.335 (0.331) Data 0.001 (0.002) Loss 1.7672 (1.7911) Prec@1 61.719 (59.316) Prec@5 80.469 (81.064) Epoch: [38][2820/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.9613 (1.7917) Prec@1 55.469 (59.300) Prec@5 80.469 (81.057) Epoch: [38][2830/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8171 (1.7915) Prec@1 59.375 (59.305) Prec@5 81.250 (81.058) Epoch: [38][2840/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8487 (1.7915) Prec@1 63.281 (59.307) Prec@5 78.906 (81.060) Epoch: [38][2850/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8611 (1.7914) Prec@1 57.031 (59.310) Prec@5 79.688 (81.060) Epoch: [38][2860/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0680 (1.7917) Prec@1 55.469 (59.299) Prec@5 75.781 (81.058) Epoch: [38][2870/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9048 (1.7918) Prec@1 56.250 (59.299) Prec@5 78.906 (81.056) Epoch: [38][2880/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8333 (1.7919) Prec@1 60.938 (59.294) Prec@5 78.906 (81.054) Epoch: [38][2890/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9057 (1.7915) Prec@1 61.719 (59.297) Prec@5 81.250 (81.060) Epoch: [38][2900/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.5553 (1.7914) Prec@1 65.625 (59.299) Prec@5 85.938 (81.067) Epoch: [38][2910/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6960 (1.7917) Prec@1 63.281 (59.295) Prec@5 82.031 (81.062) Epoch: [38][2920/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8768 (1.7919) Prec@1 57.812 (59.295) Prec@5 80.469 (81.057) Epoch: [38][2930/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5962 (1.7917) Prec@1 60.938 (59.299) Prec@5 84.375 (81.058) Epoch: [38][2940/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.0247 (1.7918) Prec@1 59.375 (59.299) Prec@5 80.469 (81.057) Epoch: [38][2950/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6882 (1.7916) Prec@1 58.594 (59.302) Prec@5 82.812 (81.061) Epoch: [38][2960/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8399 (1.7915) Prec@1 59.375 (59.300) Prec@5 82.812 (81.066) Epoch: [38][2970/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6722 (1.7916) Prec@1 59.375 (59.296) Prec@5 82.031 (81.065) Epoch: [38][2980/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.5258 (1.7916) Prec@1 60.156 (59.289) Prec@5 82.812 (81.065) Epoch: [38][2990/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7841 (1.7918) Prec@1 60.938 (59.289) Prec@5 80.469 (81.061) Epoch: [38][3000/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5718 (1.7918) Prec@1 65.625 (59.291) Prec@5 80.469 (81.059) Epoch: [38][3010/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.3118 (1.7923) Prec@1 52.344 (59.280) Prec@5 74.219 (81.049) Epoch: [38][3020/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.8680 (1.7926) Prec@1 57.812 (59.278) Prec@5 79.688 (81.042) Epoch: [38][3030/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6750 (1.7923) Prec@1 61.719 (59.278) Prec@5 78.906 (81.046) Epoch: [38][3040/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8164 (1.7924) Prec@1 57.031 (59.275) Prec@5 83.594 (81.047) Epoch: [38][3050/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9499 (1.7924) Prec@1 53.906 (59.278) Prec@5 78.125 (81.043) Epoch: [38][3060/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6455 (1.7924) Prec@1 60.156 (59.278) Prec@5 86.719 (81.043) Epoch: [38][3070/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6825 (1.7924) Prec@1 54.688 (59.273) Prec@5 86.719 (81.044) Epoch: [38][3080/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7161 (1.7924) Prec@1 60.938 (59.271) Prec@5 79.688 (81.044) Epoch: [38][3090/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6411 (1.7926) Prec@1 57.812 (59.259) Prec@5 83.594 (81.042) Epoch: [38][3100/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.5675 (1.7925) Prec@1 66.406 (59.259) Prec@5 84.375 (81.045) Epoch: [38][3110/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8498 (1.7923) Prec@1 57.812 (59.264) Prec@5 80.469 (81.046) Epoch: [38][3120/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.4056 (1.7920) Prec@1 65.625 (59.266) Prec@5 88.281 (81.050) Epoch: [38][3130/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8820 (1.7918) Prec@1 57.812 (59.265) Prec@5 81.250 (81.053) Epoch: [38][3140/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.4802 (1.7917) Prec@1 63.281 (59.268) Prec@5 83.594 (81.053) Epoch: [38][3150/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5624 (1.7916) Prec@1 64.062 (59.270) Prec@5 84.375 (81.057) Epoch: [38][3160/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8638 (1.7916) Prec@1 53.906 (59.266) Prec@5 80.469 (81.058) Epoch: [38][3170/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8244 (1.7916) Prec@1 55.469 (59.265) Prec@5 86.719 (81.057) Epoch: [38][3180/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.0000 (1.7916) Prec@1 53.125 (59.263) Prec@5 78.906 (81.054) Epoch: [38][3190/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.4639 (1.7917) Prec@1 68.750 (59.267) Prec@5 84.375 (81.047) Epoch: [38][3200/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.4346 (1.7918) Prec@1 60.156 (59.260) Prec@5 85.938 (81.044) Epoch: [38][3210/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8440 (1.7920) Prec@1 59.375 (59.259) Prec@5 77.344 (81.040) Epoch: [38][3220/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8298 (1.7921) Prec@1 64.062 (59.257) Prec@5 83.594 (81.036) Epoch: [38][3230/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9812 (1.7920) Prec@1 58.594 (59.261) Prec@5 77.344 (81.035) Epoch: [38][3240/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7836 (1.7923) Prec@1 59.375 (59.251) Prec@5 82.031 (81.032) Epoch: [38][3250/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6044 (1.7924) Prec@1 62.500 (59.246) Prec@5 85.938 (81.032) Epoch: [38][3260/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7549 (1.7925) Prec@1 65.625 (59.244) Prec@5 79.688 (81.031) Epoch: [38][3270/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6567 (1.7926) Prec@1 60.938 (59.239) Prec@5 84.375 (81.028) Epoch: [38][3280/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8472 (1.7928) Prec@1 59.375 (59.230) Prec@5 79.688 (81.024) Epoch: [38][3290/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7359 (1.7933) Prec@1 61.719 (59.221) Prec@5 84.375 (81.022) Epoch: [38][3300/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7771 (1.7935) Prec@1 54.688 (59.213) Prec@5 75.781 (81.019) Epoch: [38][3310/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9481 (1.7934) Prec@1 56.250 (59.212) Prec@5 78.906 (81.020) Epoch: [38][3320/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7552 (1.7935) Prec@1 62.500 (59.212) Prec@5 80.469 (81.016) Epoch: [38][3330/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6656 (1.7938) Prec@1 61.719 (59.212) Prec@5 83.594 (81.011) Epoch: [38][3340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9698 (1.7939) Prec@1 59.375 (59.207) Prec@5 78.906 (81.008) Epoch: [38][3350/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6242 (1.7937) Prec@1 60.938 (59.209) Prec@5 82.812 (81.011) Epoch: [38][3360/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.2937 (1.7940) Prec@1 47.656 (59.205) Prec@5 74.219 (81.006) Epoch: [38][3370/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7219 (1.7938) Prec@1 57.812 (59.211) Prec@5 84.375 (81.011) Epoch: [38][3380/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8346 (1.7939) Prec@1 53.906 (59.205) Prec@5 80.469 (81.009) Epoch: [38][3390/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0923 (1.7940) Prec@1 52.344 (59.202) Prec@5 76.562 (81.006) Epoch: [38][3400/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8467 (1.7939) Prec@1 55.469 (59.206) Prec@5 77.344 (81.005) Epoch: [38][3410/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8440 (1.7941) Prec@1 54.688 (59.204) Prec@5 78.125 (81.002) Epoch: [38][3420/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7037 (1.7942) Prec@1 62.500 (59.202) Prec@5 81.250 (81.000) Epoch: [38][3430/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.2603 (1.7940) Prec@1 73.438 (59.212) Prec@5 87.500 (81.002) Epoch: [38][3440/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7375 (1.7939) Prec@1 59.375 (59.213) Prec@5 82.812 (81.001) Epoch: [38][3450/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7099 (1.7937) Prec@1 58.594 (59.214) Prec@5 80.469 (81.005) Epoch: [38][3460/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0850 (1.7939) Prec@1 50.781 (59.210) Prec@5 75.781 (81.001) Epoch: [38][3470/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1046 (1.7940) Prec@1 59.375 (59.204) Prec@5 75.000 (80.997) Epoch: [38][3480/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7118 (1.7943) Prec@1 60.156 (59.197) Prec@5 79.688 (80.991) Epoch: [38][3490/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9678 (1.7943) Prec@1 57.812 (59.197) Prec@5 77.344 (80.988) Epoch: [38][3500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7388 (1.7941) Prec@1 60.938 (59.200) Prec@5 85.938 (80.991) Epoch: [38][3510/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9233 (1.7942) Prec@1 56.250 (59.197) Prec@5 78.125 (80.987) Epoch: [38][3520/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0217 (1.7941) Prec@1 53.906 (59.201) Prec@5 78.125 (80.989) Epoch: [38][3530/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.5660 (1.7943) Prec@1 59.375 (59.190) Prec@5 86.719 (80.987) Epoch: [38][3540/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8268 (1.7942) Prec@1 58.594 (59.193) Prec@5 80.469 (80.986) Epoch: [38][3550/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6289 (1.7943) Prec@1 61.719 (59.191) Prec@5 83.594 (80.983) Epoch: [38][3560/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5459 (1.7943) Prec@1 64.844 (59.197) Prec@5 83.594 (80.984) Epoch: [38][3570/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6835 (1.7943) Prec@1 54.688 (59.193) Prec@5 82.031 (80.983) Epoch: [38][3580/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9607 (1.7942) Prec@1 55.469 (59.196) Prec@5 81.250 (80.986) Epoch: [38][3590/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7305 (1.7944) Prec@1 61.719 (59.191) Prec@5 80.469 (80.983) Epoch: [38][3600/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1426 (1.7943) Prec@1 52.344 (59.195) Prec@5 76.562 (80.982) Epoch: [38][3610/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8779 (1.7944) Prec@1 54.688 (59.192) Prec@5 79.688 (80.981) Epoch: [38][3620/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7678 (1.7943) Prec@1 60.938 (59.193) Prec@5 79.688 (80.986) Epoch: [38][3630/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1545 (1.7945) Prec@1 50.781 (59.187) Prec@5 71.875 (80.983) Epoch: [38][3640/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8225 (1.7945) Prec@1 57.031 (59.187) Prec@5 78.125 (80.985) Epoch: [38][3650/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.9835 (1.7946) Prec@1 50.781 (59.186) Prec@5 75.781 (80.982) Epoch: [38][3660/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9126 (1.7946) Prec@1 56.250 (59.186) Prec@5 78.125 (80.983) Epoch: [38][3670/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6265 (1.7948) Prec@1 64.062 (59.186) Prec@5 83.594 (80.978) Epoch: [38][3680/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7683 (1.7947) Prec@1 62.500 (59.192) Prec@5 78.125 (80.980) Epoch: [38][3690/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6633 (1.7945) Prec@1 63.281 (59.192) Prec@5 83.594 (80.984) Epoch: [38][3700/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7376 (1.7947) Prec@1 59.375 (59.185) Prec@5 80.469 (80.979) Epoch: [38][3710/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9473 (1.7949) Prec@1 50.781 (59.177) Prec@5 79.688 (80.978) Epoch: [38][3720/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7512 (1.7949) Prec@1 63.281 (59.178) Prec@5 84.375 (80.980) Epoch: [38][3730/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7362 (1.7950) Prec@1 59.375 (59.175) Prec@5 82.812 (80.975) Epoch: [38][3740/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8503 (1.7948) Prec@1 56.250 (59.175) Prec@5 81.250 (80.978) /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][3750/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7997 (1.7951) Prec@1 62.500 (59.170) Prec@5 78.906 (80.973) Epoch: [38][3760/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8486 (1.7953) Prec@1 57.031 (59.168) Prec@5 75.781 (80.967) Epoch: [38][3770/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1391 (1.7954) Prec@1 51.562 (59.169) Prec@5 79.688 (80.966) Epoch: [38][3780/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8715 (1.7954) Prec@1 60.156 (59.168) Prec@5 79.688 (80.963) Epoch: [38][3790/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7279 (1.7957) Prec@1 64.062 (59.164) Prec@5 85.938 (80.959) Epoch: [38][3800/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8343 (1.7959) Prec@1 55.469 (59.160) Prec@5 77.344 (80.956) Epoch: [38][3810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6352 (1.7955) Prec@1 61.719 (59.164) Prec@5 84.375 (80.965) Epoch: [38][3820/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9236 (1.7956) Prec@1 53.125 (59.163) Prec@5 76.562 (80.962) Epoch: [38][3830/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9004 (1.7956) Prec@1 53.125 (59.165) Prec@5 80.469 (80.961) Epoch: [38][3840/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9920 (1.7957) Prec@1 59.375 (59.165) Prec@5 74.219 (80.958) Epoch: [38][3850/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.1058 (1.7956) Prec@1 53.906 (59.163) Prec@5 78.906 (80.960) Epoch: [38][3860/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9070 (1.7956) Prec@1 60.156 (59.165) Prec@5 83.594 (80.960) Epoch: [38][3870/10010] Time 0.354 (0.331) Data 0.001 (0.001) Loss 1.8083 (1.7955) Prec@1 60.938 (59.168) Prec@5 78.906 (80.961) Epoch: [38][3880/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7392 (1.7954) Prec@1 61.719 (59.169) Prec@5 82.812 (80.963) Epoch: [38][3890/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8992 (1.7954) Prec@1 57.812 (59.170) Prec@5 77.344 (80.960) Epoch: [38][3900/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8167 (1.7952) Prec@1 60.938 (59.175) Prec@5 78.906 (80.964) Epoch: [38][3910/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7690 (1.7953) Prec@1 54.688 (59.170) Prec@5 82.031 (80.963) Epoch: [38][3920/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8339 (1.7954) Prec@1 53.125 (59.164) Prec@5 80.469 (80.962) Epoch: [38][3930/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7545 (1.7954) Prec@1 61.719 (59.164) Prec@5 82.812 (80.962) Epoch: [38][3940/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7736 (1.7955) Prec@1 58.594 (59.169) Prec@5 80.469 (80.961) Epoch: [38][3950/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7749 (1.7953) Prec@1 57.031 (59.171) Prec@5 82.031 (80.968) Epoch: [38][3960/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8588 (1.7955) Prec@1 54.688 (59.167) Prec@5 78.125 (80.963) Epoch: [38][3970/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9904 (1.7956) Prec@1 57.031 (59.168) Prec@5 78.906 (80.959) Epoch: [38][3980/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6943 (1.7957) Prec@1 65.625 (59.173) Prec@5 85.156 (80.959) Epoch: [38][3990/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5643 (1.7958) Prec@1 64.844 (59.171) Prec@5 81.250 (80.956) Epoch: [38][4000/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6946 (1.7957) Prec@1 57.812 (59.173) Prec@5 84.375 (80.959) Epoch: [38][4010/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6296 (1.7957) Prec@1 61.719 (59.173) Prec@5 85.156 (80.958) Epoch: [38][4020/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.0321 (1.7957) Prec@1 53.125 (59.172) Prec@5 73.438 (80.956) Epoch: [38][4030/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.3819 (1.7958) Prec@1 64.844 (59.173) Prec@5 88.281 (80.958) Epoch: [38][4040/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6842 (1.7957) Prec@1 60.938 (59.171) Prec@5 82.812 (80.959) Epoch: [38][4050/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9326 (1.7957) Prec@1 54.688 (59.170) Prec@5 77.344 (80.957) Epoch: [38][4060/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6073 (1.7955) Prec@1 62.500 (59.174) Prec@5 81.250 (80.960) Epoch: [38][4070/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8829 (1.7958) Prec@1 56.250 (59.167) Prec@5 78.906 (80.955) Epoch: [38][4080/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0006 (1.7959) Prec@1 57.031 (59.166) Prec@5 76.562 (80.952) Epoch: [38][4090/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5554 (1.7961) Prec@1 58.594 (59.161) Prec@5 83.594 (80.952) Epoch: [38][4100/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9999 (1.7961) Prec@1 56.250 (59.162) Prec@5 78.125 (80.949) Epoch: [38][4110/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0511 (1.7962) Prec@1 53.906 (59.159) Prec@5 76.562 (80.948) Epoch: [38][4120/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6504 (1.7960) Prec@1 63.281 (59.162) Prec@5 82.031 (80.950) Epoch: [38][4130/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.8576 (1.7962) Prec@1 57.031 (59.159) Prec@5 78.125 (80.947) Epoch: [38][4140/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6244 (1.7962) Prec@1 64.844 (59.161) Prec@5 80.469 (80.947) Epoch: [38][4150/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7150 (1.7963) Prec@1 58.594 (59.158) Prec@5 79.688 (80.946) Epoch: [38][4160/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0383 (1.7966) Prec@1 55.469 (59.154) Prec@5 80.469 (80.941) Epoch: [38][4170/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8406 (1.7967) Prec@1 57.812 (59.150) Prec@5 79.688 (80.941) Epoch: [38][4180/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5715 (1.7968) Prec@1 60.156 (59.149) Prec@5 86.719 (80.941) Epoch: [38][4190/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8021 (1.7968) Prec@1 55.469 (59.146) Prec@5 77.344 (80.941) Epoch: [38][4200/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8541 (1.7967) Prec@1 57.812 (59.147) Prec@5 82.031 (80.944) Epoch: [38][4210/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0620 (1.7970) Prec@1 52.344 (59.144) Prec@5 78.125 (80.938) Epoch: [38][4220/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9419 (1.7970) Prec@1 55.469 (59.146) Prec@5 80.469 (80.936) Epoch: [38][4230/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6914 (1.7968) Prec@1 60.156 (59.148) Prec@5 82.812 (80.939) Epoch: [38][4240/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7952 (1.7969) Prec@1 59.375 (59.142) Prec@5 82.812 (80.938) Epoch: [38][4250/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6847 (1.7968) Prec@1 64.062 (59.146) Prec@5 82.812 (80.941) Epoch: [38][4260/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0816 (1.7969) Prec@1 47.656 (59.145) Prec@5 78.906 (80.941) Epoch: [38][4270/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9954 (1.7969) Prec@1 53.906 (59.145) Prec@5 78.125 (80.939) Epoch: [38][4280/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8700 (1.7970) Prec@1 54.688 (59.142) Prec@5 77.344 (80.940) Epoch: [38][4290/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.5934 (1.7972) Prec@1 64.844 (59.138) Prec@5 83.594 (80.939) Epoch: [38][4300/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9416 (1.7974) Prec@1 58.594 (59.135) Prec@5 77.344 (80.937) Epoch: [38][4310/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0603 (1.7974) Prec@1 51.562 (59.132) Prec@5 77.344 (80.937) Epoch: [38][4320/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7233 (1.7974) Prec@1 57.031 (59.133) Prec@5 82.031 (80.934) Epoch: [38][4330/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0385 (1.7974) Prec@1 55.469 (59.134) Prec@5 78.906 (80.933) Epoch: [38][4340/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9641 (1.7974) Prec@1 55.469 (59.133) Prec@5 80.469 (80.935) Epoch: [38][4350/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8185 (1.7977) Prec@1 60.938 (59.132) Prec@5 78.906 (80.931) Epoch: [38][4360/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7748 (1.7977) Prec@1 64.062 (59.129) Prec@5 81.250 (80.931) Epoch: [38][4370/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6740 (1.7980) Prec@1 64.062 (59.126) Prec@5 82.031 (80.928) Epoch: [38][4380/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8143 (1.7982) Prec@1 60.938 (59.122) Prec@5 82.031 (80.922) Epoch: [38][4390/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1212 (1.7982) Prec@1 53.906 (59.121) Prec@5 78.906 (80.922) Epoch: [38][4400/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0708 (1.7983) Prec@1 54.688 (59.117) Prec@5 77.344 (80.922) Epoch: [38][4410/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9202 (1.7984) Prec@1 53.125 (59.115) Prec@5 79.688 (80.921) Epoch: [38][4420/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7604 (1.7985) Prec@1 55.469 (59.114) Prec@5 82.031 (80.918) Epoch: [38][4430/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6131 (1.7986) Prec@1 62.500 (59.112) Prec@5 84.375 (80.916) Epoch: [38][4440/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.1760 (1.7985) Prec@1 55.469 (59.113) Prec@5 72.656 (80.916) Epoch: [38][4450/10010] Time 0.329 (0.331) Data 0.003 (0.001) Loss 1.8549 (1.7985) Prec@1 59.375 (59.110) Prec@5 81.250 (80.919) Epoch: [38][4460/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.4797 (1.7985) Prec@1 66.406 (59.111) Prec@5 88.281 (80.922) Epoch: [38][4470/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9413 (1.7985) Prec@1 60.938 (59.109) Prec@5 76.562 (80.921) Epoch: [38][4480/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0390 (1.7986) Prec@1 53.125 (59.110) Prec@5 78.906 (80.918) Epoch: [38][4490/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.6976 (1.7986) Prec@1 64.844 (59.109) Prec@5 79.688 (80.918) Epoch: [38][4500/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8810 (1.7987) Prec@1 55.469 (59.108) Prec@5 78.906 (80.916) Epoch: [38][4510/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.3106 (1.7989) Prec@1 48.438 (59.101) Prec@5 69.531 (80.912) Epoch: [38][4520/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7921 (1.7989) Prec@1 56.250 (59.100) Prec@5 85.156 (80.913) Epoch: [38][4530/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6158 (1.7989) Prec@1 64.844 (59.102) Prec@5 80.469 (80.911) Epoch: [38][4540/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6516 (1.7989) Prec@1 61.719 (59.100) Prec@5 82.812 (80.910) Epoch: [38][4550/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7819 (1.7991) Prec@1 59.375 (59.096) Prec@5 77.344 (80.908) Epoch: [38][4560/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7121 (1.7993) Prec@1 61.719 (59.093) Prec@5 80.469 (80.903) Epoch: [38][4570/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.2754 (1.7996) Prec@1 52.344 (59.088) Prec@5 72.656 (80.899) Epoch: [38][4580/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1253 (1.7996) Prec@1 53.125 (59.088) Prec@5 78.906 (80.898) Epoch: [38][4590/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8260 (1.7997) Prec@1 58.594 (59.090) Prec@5 82.031 (80.900) Epoch: [38][4600/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8080 (1.7998) Prec@1 60.156 (59.088) Prec@5 81.250 (80.898) Epoch: [38][4610/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9963 (1.7997) Prec@1 50.781 (59.095) Prec@5 77.344 (80.900) Epoch: [38][4620/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.5833 (1.7996) Prec@1 64.844 (59.095) Prec@5 85.938 (80.902) Epoch: [38][4630/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7945 (1.7997) Prec@1 64.062 (59.095) Prec@5 81.250 (80.903) Epoch: [38][4640/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8217 (1.7997) Prec@1 54.688 (59.093) Prec@5 78.906 (80.901) Epoch: [38][4650/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8448 (1.7998) Prec@1 60.156 (59.093) Prec@5 80.469 (80.901) Epoch: [38][4660/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8029 (1.7998) Prec@1 58.594 (59.091) Prec@5 82.812 (80.901) Epoch: [38][4670/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5603 (1.7999) Prec@1 63.281 (59.089) Prec@5 80.469 (80.899) Epoch: [38][4680/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7515 (1.7998) Prec@1 48.438 (59.088) Prec@5 83.594 (80.902) Epoch: [38][4690/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6525 (1.7998) Prec@1 63.281 (59.083) Prec@5 81.250 (80.899) Epoch: [38][4700/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8515 (1.7998) Prec@1 54.688 (59.084) Prec@5 79.688 (80.901) Epoch: [38][4710/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8034 (1.7997) Prec@1 62.500 (59.082) Prec@5 78.906 (80.899) Epoch: [38][4720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0362 (1.7998) Prec@1 55.469 (59.080) Prec@5 80.469 (80.898) Epoch: [38][4730/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8102 (1.8001) Prec@1 57.812 (59.075) Prec@5 81.250 (80.894) Epoch: [38][4740/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5428 (1.7999) Prec@1 69.531 (59.082) Prec@5 82.031 (80.896) Epoch: [38][4750/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9606 (1.7999) Prec@1 56.250 (59.081) Prec@5 78.906 (80.898) Epoch: [38][4760/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5387 (1.7998) Prec@1 64.844 (59.084) Prec@5 84.375 (80.900) Epoch: [38][4770/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7436 (1.7999) Prec@1 60.156 (59.079) Prec@5 82.812 (80.900) Epoch: [38][4780/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5095 (1.7998) Prec@1 61.719 (59.088) Prec@5 82.812 (80.901) Epoch: [38][4790/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6508 (1.7998) Prec@1 58.594 (59.085) Prec@5 82.031 (80.901) Epoch: [38][4800/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7148 (1.7999) Prec@1 58.594 (59.086) Prec@5 82.031 (80.899) Epoch: [38][4810/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.1819 (1.8000) Prec@1 53.906 (59.085) Prec@5 74.219 (80.896) Epoch: [38][4820/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9435 (1.8001) Prec@1 54.688 (59.082) Prec@5 77.344 (80.897) Epoch: [38][4830/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8145 (1.8001) Prec@1 64.844 (59.083) Prec@5 80.469 (80.897) Epoch: [38][4840/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7311 (1.8001) Prec@1 58.594 (59.084) Prec@5 82.031 (80.896) Epoch: [38][4850/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1018 (1.8002) Prec@1 56.250 (59.083) Prec@5 78.125 (80.896) Epoch: [38][4860/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9225 (1.8001) Prec@1 57.812 (59.086) Prec@5 81.250 (80.896) Epoch: [38][4870/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6398 (1.8002) Prec@1 60.938 (59.085) Prec@5 85.156 (80.896) Epoch: [38][4880/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7046 (1.8002) Prec@1 53.906 (59.084) Prec@5 86.719 (80.896) Epoch: [38][4890/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6274 (1.8003) Prec@1 63.281 (59.084) Prec@5 85.938 (80.896) Epoch: [38][4900/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7666 (1.8006) Prec@1 57.031 (59.079) Prec@5 83.594 (80.894) Epoch: [38][4910/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0926 (1.8006) Prec@1 55.469 (59.080) Prec@5 71.875 (80.892) Epoch: [38][4920/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9853 (1.8007) Prec@1 57.812 (59.078) Prec@5 79.688 (80.889) Epoch: [38][4930/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.8920 (1.8007) Prec@1 61.719 (59.079) Prec@5 80.469 (80.890) Epoch: [38][4940/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8008 (1.8007) Prec@1 61.719 (59.078) Prec@5 78.906 (80.890) Epoch: [38][4950/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9951 (1.8008) Prec@1 51.562 (59.077) Prec@5 78.125 (80.889) Epoch: [38][4960/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6479 (1.8007) Prec@1 63.281 (59.081) Prec@5 83.594 (80.893) Epoch: [38][4970/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0105 (1.8007) Prec@1 52.344 (59.079) Prec@5 78.906 (80.892) Epoch: [38][4980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7540 (1.8008) Prec@1 60.938 (59.077) Prec@5 80.469 (80.890) Epoch: [38][4990/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8282 (1.8010) Prec@1 59.375 (59.077) Prec@5 76.562 (80.884) Epoch: [38][5000/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9504 (1.8013) Prec@1 54.688 (59.071) Prec@5 77.344 (80.879) Epoch: [38][5010/10010] Time 0.305 (0.331) Data 0.001 (0.001) Loss 1.8907 (1.8011) Prec@1 53.906 (59.068) Prec@5 81.250 (80.881) Epoch: [38][5020/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9467 (1.8011) Prec@1 57.812 (59.065) Prec@5 78.906 (80.882) Epoch: [38][5030/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6056 (1.8009) Prec@1 61.719 (59.066) Prec@5 83.594 (80.885) Epoch: [38][5040/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9840 (1.8009) Prec@1 57.031 (59.067) Prec@5 76.562 (80.884) Epoch: [38][5050/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.1724 (1.8009) Prec@1 52.344 (59.064) Prec@5 79.688 (80.884) Epoch: [38][5060/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8496 (1.8011) Prec@1 57.812 (59.063) Prec@5 82.812 (80.881) Epoch: [38][5070/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0708 (1.8011) Prec@1 51.562 (59.062) Prec@5 76.562 (80.880) Epoch: [38][5080/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7475 (1.8011) Prec@1 64.062 (59.065) Prec@5 79.688 (80.880) Epoch: [38][5090/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9283 (1.8012) Prec@1 55.469 (59.063) Prec@5 73.438 (80.879) Epoch: [38][5100/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6488 (1.8012) Prec@1 63.281 (59.064) Prec@5 82.031 (80.877) Epoch: [38][5110/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7592 (1.8012) Prec@1 53.125 (59.061) Prec@5 85.938 (80.877) Epoch: [38][5120/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8959 (1.8014) Prec@1 52.344 (59.058) Prec@5 80.469 (80.876) Epoch: [38][5130/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.1489 (1.8015) Prec@1 52.344 (59.058) Prec@5 76.562 (80.875) Epoch: [38][5140/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6539 (1.8018) Prec@1 64.062 (59.055) Prec@5 82.031 (80.869) Epoch: [38][5150/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6886 (1.8016) Prec@1 60.938 (59.057) Prec@5 80.469 (80.870) Epoch: [38][5160/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.5393 (1.8016) Prec@1 66.406 (59.058) Prec@5 82.812 (80.872) Epoch: [38][5170/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.2475 (1.8016) Prec@1 55.469 (59.059) Prec@5 78.125 (80.872) Epoch: [38][5180/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9569 (1.8018) Prec@1 53.125 (59.054) Prec@5 81.250 (80.871) Epoch: [38][5190/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7907 (1.8018) Prec@1 64.844 (59.055) Prec@5 82.812 (80.871) Epoch: [38][5200/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5709 (1.8018) Prec@1 60.938 (59.054) Prec@5 82.031 (80.871) Epoch: [38][5210/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9885 (1.8019) Prec@1 52.344 (59.052) Prec@5 80.469 (80.869) Epoch: [38][5220/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0288 (1.8020) Prec@1 54.688 (59.049) Prec@5 76.562 (80.865) Epoch: [38][5230/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6044 (1.8019) Prec@1 60.156 (59.049) Prec@5 86.719 (80.870) Epoch: [38][5240/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6699 (1.8020) Prec@1 63.281 (59.049) Prec@5 82.812 (80.868) Epoch: [38][5250/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6205 (1.8022) Prec@1 61.719 (59.049) Prec@5 85.156 (80.865) Epoch: [38][5260/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7034 (1.8021) Prec@1 60.156 (59.052) Prec@5 82.031 (80.864) Epoch: [38][5270/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8725 (1.8021) Prec@1 58.594 (59.052) Prec@5 78.906 (80.863) Epoch: [38][5280/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.0506 (1.8021) Prec@1 52.344 (59.049) Prec@5 77.344 (80.863) Epoch: [38][5290/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7092 (1.8022) Prec@1 57.812 (59.048) Prec@5 84.375 (80.862) Epoch: [38][5300/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6856 (1.8023) Prec@1 61.719 (59.046) Prec@5 82.812 (80.861) Epoch: [38][5310/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6647 (1.8021) Prec@1 62.500 (59.052) Prec@5 83.594 (80.863) Epoch: [38][5320/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0936 (1.8021) Prec@1 53.906 (59.049) Prec@5 76.562 (80.863) Epoch: [38][5330/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6229 (1.8021) Prec@1 62.500 (59.048) Prec@5 89.062 (80.864) Epoch: [38][5340/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.8230 (1.8021) Prec@1 59.375 (59.050) Prec@5 79.688 (80.866) Epoch: [38][5350/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8183 (1.8020) Prec@1 63.281 (59.053) Prec@5 80.469 (80.866) Epoch: [38][5360/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.2078 (1.8021) Prec@1 47.656 (59.049) Prec@5 78.125 (80.866) Epoch: [38][5370/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8316 (1.8023) Prec@1 59.375 (59.047) Prec@5 80.469 (80.863) Epoch: [38][5380/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8673 (1.8024) Prec@1 60.156 (59.046) Prec@5 78.125 (80.861) Epoch: [38][5390/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6856 (1.8025) Prec@1 66.406 (59.046) Prec@5 82.031 (80.859) Epoch: [38][5400/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8732 (1.8026) Prec@1 57.031 (59.042) Prec@5 79.688 (80.857) Epoch: [38][5410/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7487 (1.8028) Prec@1 58.594 (59.041) Prec@5 78.906 (80.853) Epoch: [38][5420/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6375 (1.8026) Prec@1 64.062 (59.043) Prec@5 82.031 (80.856) Epoch: [38][5430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8119 (1.8027) Prec@1 56.250 (59.041) Prec@5 82.812 (80.857) Epoch: [38][5440/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6935 (1.8025) Prec@1 61.719 (59.047) Prec@5 82.812 (80.862) Epoch: [38][5450/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7795 (1.8024) Prec@1 56.250 (59.047) Prec@5 82.812 (80.863) Epoch: [38][5460/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6989 (1.8026) Prec@1 62.500 (59.047) Prec@5 85.938 (80.862) Epoch: [38][5470/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8821 (1.8027) Prec@1 59.375 (59.044) Prec@5 81.250 (80.861) Epoch: [38][5480/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9020 (1.8027) Prec@1 55.469 (59.043) Prec@5 82.031 (80.862) Epoch: [38][5490/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9369 (1.8028) Prec@1 57.812 (59.044) Prec@5 78.906 (80.861) Epoch: [38][5500/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0298 (1.8026) Prec@1 50.000 (59.046) Prec@5 78.906 (80.864) Epoch: [38][5510/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6023 (1.8025) Prec@1 58.594 (59.044) Prec@5 89.062 (80.865) Epoch: [38][5520/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7132 (1.8025) Prec@1 58.594 (59.042) Prec@5 82.812 (80.867) Epoch: [38][5530/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7408 (1.8026) Prec@1 58.594 (59.038) Prec@5 80.469 (80.865) Epoch: [38][5540/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7219 (1.8026) Prec@1 63.281 (59.041) Prec@5 78.906 (80.864) Epoch: [38][5550/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6031 (1.8025) Prec@1 60.938 (59.040) Prec@5 82.812 (80.866) Epoch: [38][5560/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8836 (1.8025) Prec@1 55.469 (59.041) Prec@5 80.469 (80.865) Epoch: [38][5570/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7896 (1.8026) Prec@1 59.375 (59.041) Prec@5 80.469 (80.864) Epoch: [38][5580/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.4430 (1.8025) Prec@1 64.844 (59.040) Prec@5 87.500 (80.864) Epoch: [38][5590/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.4460 (1.8025) Prec@1 69.531 (59.040) Prec@5 85.938 (80.864) Epoch: [38][5600/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8779 (1.8025) Prec@1 53.125 (59.040) Prec@5 80.469 (80.865) Epoch: [38][5610/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.5844 (1.8023) Prec@1 65.625 (59.046) Prec@5 83.594 (80.869) Epoch: [38][5620/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8103 (1.8023) Prec@1 58.594 (59.046) Prec@5 81.250 (80.871) Epoch: [38][5630/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0939 (1.8026) Prec@1 58.594 (59.040) Prec@5 75.781 (80.868) Epoch: [38][5640/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9371 (1.8026) Prec@1 53.906 (59.039) Prec@5 76.562 (80.866) Epoch: [38][5650/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7091 (1.8027) Prec@1 53.906 (59.034) Prec@5 82.812 (80.868) Epoch: [38][5660/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9169 (1.8028) Prec@1 53.906 (59.029) Prec@5 77.344 (80.865) Epoch: [38][5670/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8041 (1.8028) Prec@1 64.062 (59.028) Prec@5 81.250 (80.864) Epoch: [38][5680/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8466 (1.8030) Prec@1 55.469 (59.026) Prec@5 80.469 (80.862) Epoch: [38][5690/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6536 (1.8030) Prec@1 62.500 (59.023) Prec@5 82.031 (80.860) Epoch: [38][5700/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8395 (1.8030) Prec@1 54.688 (59.024) Prec@5 79.688 (80.861) Epoch: [38][5710/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9026 (1.8031) Prec@1 57.031 (59.021) Prec@5 76.562 (80.861) Epoch: [38][5720/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.6764 (1.8031) Prec@1 62.500 (59.020) Prec@5 83.594 (80.860) Epoch: [38][5730/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8079 (1.8030) Prec@1 60.938 (59.025) Prec@5 78.906 (80.859) Epoch: [38][5740/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.2589 (1.8030) Prec@1 53.125 (59.024) Prec@5 68.750 (80.857) Epoch: [38][5750/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8264 (1.8033) Prec@1 55.469 (59.021) Prec@5 82.031 (80.852) Epoch: [38][5760/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7283 (1.8033) Prec@1 63.281 (59.019) Prec@5 82.812 (80.853) Epoch: [38][5770/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0013 (1.8035) Prec@1 52.344 (59.017) Prec@5 75.000 (80.851) Epoch: [38][5780/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8518 (1.8032) Prec@1 56.250 (59.022) Prec@5 75.781 (80.855) Epoch: [38][5790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1829 (1.8034) Prec@1 50.781 (59.020) Prec@5 76.562 (80.852) Epoch: [38][5800/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5569 (1.8032) Prec@1 60.156 (59.024) Prec@5 82.031 (80.853) Epoch: [38][5810/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6181 (1.8033) Prec@1 64.844 (59.021) Prec@5 82.812 (80.851) Epoch: [38][5820/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7988 (1.8036) Prec@1 58.594 (59.015) Prec@5 82.031 (80.846) Epoch: [38][5830/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.6654 (1.8035) Prec@1 58.594 (59.016) Prec@5 82.812 (80.848) Epoch: [38][5840/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8557 (1.8035) Prec@1 57.812 (59.016) Prec@5 83.594 (80.848) Epoch: [38][5850/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9690 (1.8037) Prec@1 59.375 (59.012) Prec@5 78.125 (80.845) Epoch: [38][5860/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7129 (1.8038) Prec@1 64.062 (59.008) Prec@5 81.250 (80.843) Epoch: [38][5870/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8362 (1.8039) Prec@1 60.156 (59.004) Prec@5 81.250 (80.843) Epoch: [38][5880/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.5276 (1.8039) Prec@1 59.375 (59.003) Prec@5 85.938 (80.843) Epoch: [38][5890/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8757 (1.8039) Prec@1 63.281 (59.004) Prec@5 78.125 (80.845) Epoch: [38][5900/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7935 (1.8038) Prec@1 58.594 (59.003) Prec@5 83.594 (80.848) Epoch: [38][5910/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.2321 (1.8040) Prec@1 54.688 (58.998) Prec@5 73.438 (80.845) Epoch: [38][5920/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8261 (1.8041) Prec@1 56.250 (58.997) Prec@5 85.156 (80.845) Epoch: [38][5930/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9691 (1.8041) Prec@1 57.031 (58.998) Prec@5 75.781 (80.843) Epoch: [38][5940/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.2460 (1.8041) Prec@1 49.219 (58.998) Prec@5 76.562 (80.842) Epoch: [38][5950/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8707 (1.8042) Prec@1 54.688 (58.996) Prec@5 82.031 (80.841) Epoch: [38][5960/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7715 (1.8043) Prec@1 60.156 (58.996) Prec@5 80.469 (80.839) Epoch: [38][5970/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7028 (1.8043) Prec@1 60.938 (58.996) Prec@5 82.812 (80.839) Epoch: [38][5980/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7412 (1.8044) Prec@1 59.375 (58.994) Prec@5 83.594 (80.838) Epoch: [38][5990/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5610 (1.8042) Prec@1 64.062 (58.997) Prec@5 84.375 (80.841) Epoch: [38][6000/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0930 (1.8043) Prec@1 57.812 (58.994) Prec@5 78.906 (80.838) Epoch: [38][6010/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6594 (1.8044) Prec@1 63.281 (58.994) Prec@5 82.031 (80.836) Epoch: [38][6020/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6263 (1.8044) Prec@1 60.938 (58.995) Prec@5 82.031 (80.835) Epoch: [38][6030/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7134 (1.8042) Prec@1 59.375 (58.998) Prec@5 82.031 (80.838) Epoch: [38][6040/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6993 (1.8041) Prec@1 60.156 (59.000) Prec@5 82.031 (80.840) Epoch: [38][6050/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8117 (1.8044) Prec@1 59.375 (58.998) Prec@5 82.031 (80.835) Epoch: [38][6060/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.2083 (1.8043) Prec@1 51.562 (58.999) Prec@5 78.125 (80.836) Epoch: [38][6070/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0563 (1.8043) Prec@1 50.781 (59.000) Prec@5 78.906 (80.839) Epoch: [38][6080/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7194 (1.8042) Prec@1 61.719 (58.997) Prec@5 82.812 (80.841) Epoch: [38][6090/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1230 (1.8042) Prec@1 49.219 (58.995) Prec@5 77.344 (80.841) Epoch: [38][6100/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6260 (1.8042) Prec@1 61.719 (58.995) Prec@5 85.156 (80.840) Epoch: [38][6110/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.6315 (1.8041) Prec@1 61.719 (58.997) Prec@5 81.250 (80.843) Epoch: [38][6120/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7681 (1.8040) Prec@1 57.031 (59.001) Prec@5 78.906 (80.843) Epoch: [38][6130/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8441 (1.8039) Prec@1 57.031 (59.003) Prec@5 82.031 (80.844) Epoch: [38][6140/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7630 (1.8038) Prec@1 57.812 (59.003) Prec@5 80.469 (80.846) Epoch: [38][6150/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.2612 (1.8040) Prec@1 53.125 (59.001) Prec@5 74.219 (80.842) Epoch: [38][6160/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9374 (1.8040) Prec@1 60.156 (59.004) Prec@5 78.906 (80.842) Epoch: [38][6170/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9320 (1.8039) Prec@1 54.688 (59.007) Prec@5 77.344 (80.845) Epoch: [38][6180/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0197 (1.8041) Prec@1 57.812 (59.007) Prec@5 75.000 (80.842) Epoch: [38][6190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0744 (1.8043) Prec@1 52.344 (59.003) Prec@5 77.344 (80.841) Epoch: [38][6200/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8736 (1.8042) Prec@1 55.469 (59.001) Prec@5 78.906 (80.842) Epoch: [38][6210/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0079 (1.8043) Prec@1 53.906 (58.998) Prec@5 76.562 (80.840) Epoch: [38][6220/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7449 (1.8044) Prec@1 57.812 (58.997) Prec@5 80.469 (80.837) Epoch: [38][6230/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0666 (1.8046) Prec@1 59.375 (58.992) Prec@5 74.219 (80.835) Epoch: [38][6240/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5838 (1.8045) Prec@1 67.969 (58.996) Prec@5 84.375 (80.837) Epoch: [38][6250/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0314 (1.8047) Prec@1 57.812 (58.993) Prec@5 79.688 (80.836) Epoch: [38][6260/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7176 (1.8047) Prec@1 60.938 (58.997) Prec@5 80.469 (80.835) Epoch: [38][6270/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7321 (1.8047) Prec@1 59.375 (59.000) Prec@5 82.031 (80.833) Epoch: [38][6280/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7504 (1.8047) Prec@1 60.156 (59.000) Prec@5 81.250 (80.835) Epoch: [38][6290/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.0180 (1.8048) Prec@1 54.688 (59.000) Prec@5 79.688 (80.834) Epoch: [38][6300/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.1578 (1.8048) Prec@1 53.906 (59.000) Prec@5 75.781 (80.835) Epoch: [38][6310/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7854 (1.8049) Prec@1 56.250 (58.997) Prec@5 79.688 (80.832) Epoch: [38][6320/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0631 (1.8050) Prec@1 57.031 (58.997) Prec@5 79.688 (80.830) Epoch: [38][6330/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6213 (1.8050) Prec@1 62.500 (58.997) Prec@5 84.375 (80.830) Epoch: [38][6340/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8550 (1.8050) Prec@1 60.938 (58.996) Prec@5 78.125 (80.829) Epoch: [38][6350/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7808 (1.8052) Prec@1 62.500 (58.995) Prec@5 82.031 (80.824) Epoch: [38][6360/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8150 (1.8053) Prec@1 57.031 (58.992) Prec@5 78.906 (80.823) Epoch: [38][6370/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0328 (1.8053) Prec@1 57.031 (58.993) Prec@5 77.344 (80.822) Epoch: [38][6380/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7900 (1.8054) Prec@1 56.250 (58.991) Prec@5 82.031 (80.821) Epoch: [38][6390/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7055 (1.8054) Prec@1 60.938 (58.992) Prec@5 86.719 (80.822) Epoch: [38][6400/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6393 (1.8054) Prec@1 63.281 (58.993) Prec@5 85.156 (80.823) Epoch: [38][6410/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7865 (1.8054) Prec@1 61.719 (58.993) Prec@5 82.031 (80.823) Epoch: [38][6420/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8912 (1.8054) Prec@1 57.812 (58.995) Prec@5 77.344 (80.824) Epoch: [38][6430/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9008 (1.8055) Prec@1 57.812 (58.995) Prec@5 81.250 (80.824) Epoch: [38][6440/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5332 (1.8055) Prec@1 65.625 (58.995) Prec@5 84.375 (80.823) Epoch: [38][6450/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8472 (1.8056) Prec@1 54.688 (58.993) Prec@5 83.594 (80.822) Epoch: [38][6460/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.0320 (1.8055) Prec@1 57.812 (58.998) Prec@5 76.562 (80.820) Epoch: [38][6470/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7019 (1.8056) Prec@1 56.250 (58.995) Prec@5 81.250 (80.819) Epoch: [38][6480/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1885 (1.8057) Prec@1 52.344 (58.995) Prec@5 71.875 (80.816) Epoch: [38][6490/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.4781 (1.8056) Prec@1 67.969 (58.998) Prec@5 85.938 (80.818) Epoch: [38][6500/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0777 (1.8057) Prec@1 53.125 (58.995) Prec@5 71.875 (80.815) Epoch: [38][6510/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6987 (1.8057) Prec@1 60.156 (58.995) Prec@5 82.812 (80.816) Epoch: [38][6520/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6874 (1.8057) Prec@1 62.500 (58.997) Prec@5 82.812 (80.817) Epoch: [38][6530/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8912 (1.8057) Prec@1 56.250 (59.000) Prec@5 77.344 (80.817) Epoch: [38][6540/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1874 (1.8057) Prec@1 49.219 (58.999) Prec@5 76.562 (80.818) Epoch: [38][6550/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7428 (1.8056) Prec@1 58.594 (58.999) Prec@5 81.250 (80.819) Epoch: [38][6560/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.3919 (1.8056) Prec@1 69.531 (58.999) Prec@5 85.156 (80.818) Epoch: [38][6570/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6955 (1.8056) Prec@1 61.719 (58.999) Prec@5 83.594 (80.817) Epoch: [38][6580/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6791 (1.8056) Prec@1 58.594 (58.997) Prec@5 82.812 (80.816) Epoch: [38][6590/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1030 (1.8056) Prec@1 55.469 (58.997) Prec@5 78.125 (80.816) Epoch: [38][6600/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7963 (1.8056) Prec@1 56.250 (58.999) Prec@5 80.469 (80.815) Epoch: [38][6610/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8876 (1.8055) Prec@1 56.250 (59.000) Prec@5 80.469 (80.815) Epoch: [38][6620/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8468 (1.8059) Prec@1 60.156 (58.995) Prec@5 78.906 (80.809) Epoch: [38][6630/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9154 (1.8058) Prec@1 60.938 (58.998) Prec@5 82.031 (80.811) Epoch: [38][6640/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2798 (1.8058) Prec@1 48.438 (59.001) Prec@5 75.781 (80.812) Epoch: [38][6650/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9969 (1.8058) Prec@1 57.812 (59.003) Prec@5 82.812 (80.813) Epoch: [38][6660/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9552 (1.8057) Prec@1 47.656 (59.001) Prec@5 78.125 (80.815) Epoch: [38][6670/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0245 (1.8057) Prec@1 50.000 (59.002) Prec@5 79.688 (80.816) Epoch: [38][6680/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9986 (1.8059) Prec@1 54.688 (58.998) Prec@5 76.562 (80.813) Epoch: [38][6690/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5043 (1.8059) Prec@1 65.625 (59.000) Prec@5 82.812 (80.813) Epoch: [38][6700/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7829 (1.8059) Prec@1 60.156 (58.999) Prec@5 81.250 (80.812) Epoch: [38][6710/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5510 (1.8059) Prec@1 63.281 (58.997) Prec@5 82.812 (80.812) Epoch: [38][6720/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.1469 (1.8060) Prec@1 55.469 (58.995) Prec@5 77.344 (80.812) Epoch: [38][6730/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.0144 (1.8059) Prec@1 53.125 (58.996) Prec@5 77.344 (80.815) Epoch: [38][6740/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.0188 (1.8060) Prec@1 57.812 (58.995) Prec@5 74.219 (80.813) Epoch: [38][6750/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7789 (1.8060) Prec@1 58.594 (58.998) Prec@5 80.469 (80.814) Epoch: [38][6760/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.0355 (1.8061) Prec@1 55.469 (58.996) Prec@5 77.344 (80.811) Epoch: [38][6770/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8852 (1.8059) Prec@1 63.281 (59.000) Prec@5 78.906 (80.814) Epoch: [38][6780/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.1002 (1.8061) Prec@1 51.562 (58.998) Prec@5 74.219 (80.813) Epoch: [38][6790/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8335 (1.8061) Prec@1 58.594 (58.996) Prec@5 78.906 (80.813) Epoch: [38][6800/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7858 (1.8063) Prec@1 57.812 (58.992) Prec@5 81.250 (80.811) Epoch: [38][6810/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0344 (1.8064) Prec@1 48.438 (58.988) Prec@5 79.688 (80.809) Epoch: [38][6820/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8151 (1.8063) Prec@1 57.031 (58.988) Prec@5 84.375 (80.811) Epoch: [38][6830/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5654 (1.8064) Prec@1 66.406 (58.988) Prec@5 85.938 (80.811) Epoch: [38][6840/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7493 (1.8066) Prec@1 56.250 (58.984) Prec@5 82.812 (80.808) Epoch: [38][6850/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.5516 (1.8065) Prec@1 62.500 (58.983) Prec@5 84.375 (80.809) Epoch: [38][6860/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9652 (1.8066) Prec@1 53.906 (58.982) Prec@5 79.688 (80.807) Epoch: [38][6870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8673 (1.8067) Prec@1 60.156 (58.981) Prec@5 78.125 (80.805) Epoch: [38][6880/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9558 (1.8067) Prec@1 53.906 (58.981) Prec@5 81.250 (80.804) Epoch: [38][6890/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0109 (1.8068) Prec@1 54.688 (58.980) Prec@5 74.219 (80.803) Epoch: [38][6900/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9887 (1.8068) Prec@1 57.031 (58.979) Prec@5 78.125 (80.802) Epoch: [38][6910/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9596 (1.8068) Prec@1 57.812 (58.980) Prec@5 73.438 (80.800) Epoch: [38][6920/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8785 (1.8068) Prec@1 53.125 (58.980) Prec@5 81.250 (80.801) Epoch: [38][6930/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8139 (1.8069) Prec@1 57.031 (58.976) Prec@5 80.469 (80.799) Epoch: [38][6940/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.5385 (1.8070) Prec@1 58.594 (58.972) Prec@5 83.594 (80.798) Epoch: [38][6950/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.4622 (1.8070) Prec@1 67.188 (58.972) Prec@5 84.375 (80.798) Epoch: [38][6960/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.7996 (1.8070) Prec@1 61.719 (58.971) Prec@5 82.031 (80.797) Epoch: [38][6970/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8952 (1.8069) Prec@1 54.688 (58.973) Prec@5 81.250 (80.800) Epoch: [38][6980/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.0373 (1.8068) Prec@1 53.125 (58.974) Prec@5 78.906 (80.801) Epoch: [38][6990/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.1219 (1.8069) Prec@1 58.594 (58.971) Prec@5 78.906 (80.801) Epoch: [38][7000/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9236 (1.8070) Prec@1 56.250 (58.967) Prec@5 79.688 (80.798) Epoch: [38][7010/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6268 (1.8070) Prec@1 63.281 (58.967) Prec@5 82.812 (80.797) Epoch: [38][7020/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6765 (1.8070) Prec@1 59.375 (58.968) Prec@5 84.375 (80.797) Epoch: [38][7030/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6153 (1.8071) Prec@1 66.406 (58.966) Prec@5 82.031 (80.796) Epoch: [38][7040/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6783 (1.8071) Prec@1 63.281 (58.964) Prec@5 82.812 (80.796) Epoch: [38][7050/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8911 (1.8072) Prec@1 55.469 (58.961) Prec@5 78.906 (80.795) Epoch: [38][7060/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7186 (1.8072) Prec@1 67.188 (58.963) Prec@5 83.594 (80.795) Epoch: [38][7070/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8604 (1.8072) Prec@1 56.250 (58.961) Prec@5 81.250 (80.796) Epoch: [38][7080/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5442 (1.8071) Prec@1 63.281 (58.964) Prec@5 81.250 (80.795) Epoch: [38][7090/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.6926 (1.8072) Prec@1 55.469 (58.963) Prec@5 85.938 (80.796) Epoch: [38][7100/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8814 (1.8074) Prec@1 57.031 (58.961) Prec@5 78.906 (80.791) Epoch: [38][7110/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9957 (1.8073) Prec@1 59.375 (58.963) Prec@5 82.031 (80.793) Epoch: [38][7120/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0111 (1.8073) Prec@1 57.812 (58.960) Prec@5 78.125 (80.792) Epoch: [38][7130/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9084 (1.8073) Prec@1 57.031 (58.959) Prec@5 78.125 (80.793) Epoch: [38][7140/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8446 (1.8071) Prec@1 58.594 (58.962) Prec@5 75.000 (80.793) Epoch: [38][7150/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9478 (1.8071) Prec@1 55.469 (58.959) Prec@5 80.469 (80.794) Epoch: [38][7160/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.8863 (1.8071) Prec@1 54.688 (58.959) Prec@5 79.688 (80.794) Epoch: [38][7170/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8595 (1.8071) Prec@1 61.719 (58.960) Prec@5 84.375 (80.795) Epoch: [38][7180/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9028 (1.8071) Prec@1 57.031 (58.961) Prec@5 75.000 (80.795) Epoch: [38][7190/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7728 (1.8072) Prec@1 61.719 (58.959) Prec@5 81.250 (80.794) Epoch: [38][7200/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0863 (1.8071) Prec@1 57.031 (58.961) Prec@5 75.781 (80.796) Epoch: [38][7210/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1981 (1.8072) Prec@1 52.344 (58.959) Prec@5 78.125 (80.796) Epoch: [38][7220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7728 (1.8072) Prec@1 61.719 (58.961) Prec@5 82.031 (80.795) Epoch: [38][7230/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6404 (1.8072) Prec@1 64.062 (58.962) Prec@5 85.938 (80.796) Epoch: [38][7240/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7120 (1.8072) Prec@1 58.594 (58.962) Prec@5 82.812 (80.796) Epoch: [38][7250/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5620 (1.8071) Prec@1 60.156 (58.965) Prec@5 83.594 (80.797) Epoch: [38][7260/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.1573 (1.8072) Prec@1 50.000 (58.966) Prec@5 78.125 (80.797) Epoch: [38][7270/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.7203 (1.8071) Prec@1 64.844 (58.968) Prec@5 85.156 (80.800) Epoch: [38][7280/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6281 (1.8071) Prec@1 63.281 (58.968) Prec@5 86.719 (80.800) Epoch: [38][7290/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.2005 (1.8072) Prec@1 53.125 (58.968) Prec@5 74.219 (80.799) Epoch: [38][7300/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8112 (1.8073) Prec@1 57.031 (58.966) Prec@5 83.594 (80.799) Epoch: [38][7310/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5564 (1.8072) Prec@1 62.500 (58.966) Prec@5 85.156 (80.800) Epoch: [38][7320/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7352 (1.8071) Prec@1 59.375 (58.967) Prec@5 80.469 (80.802) Epoch: [38][7330/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1343 (1.8071) Prec@1 50.000 (58.965) Prec@5 78.125 (80.804) Epoch: [38][7340/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8192 (1.8072) Prec@1 55.469 (58.962) Prec@5 82.031 (80.802) Epoch: [38][7350/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7463 (1.8074) Prec@1 62.500 (58.959) Prec@5 82.031 (80.799) Epoch: [38][7360/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1012 (1.8073) Prec@1 51.562 (58.958) Prec@5 76.562 (80.800) Epoch: [38][7370/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8836 (1.8074) Prec@1 56.250 (58.957) Prec@5 83.594 (80.801) Epoch: [38][7380/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6334 (1.8074) Prec@1 65.625 (58.956) Prec@5 85.156 (80.802) Epoch: [38][7390/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8485 (1.8073) Prec@1 60.938 (58.956) Prec@5 78.906 (80.802) Epoch: [38][7400/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8195 (1.8073) Prec@1 57.031 (58.959) Prec@5 82.812 (80.805) Epoch: [38][7410/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9998 (1.8072) Prec@1 57.031 (58.962) Prec@5 75.000 (80.807) Epoch: [38][7420/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9958 (1.8073) Prec@1 53.125 (58.959) Prec@5 77.344 (80.805) Epoch: [38][7430/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8756 (1.8073) Prec@1 57.031 (58.957) Prec@5 81.250 (80.804) Epoch: [38][7440/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7580 (1.8072) Prec@1 56.250 (58.960) Prec@5 84.375 (80.807) Epoch: [38][7450/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7332 (1.8072) Prec@1 62.500 (58.962) Prec@5 81.250 (80.807) Epoch: [38][7460/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.4606 (1.8072) Prec@1 64.062 (58.962) Prec@5 86.719 (80.808) Epoch: [38][7470/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8476 (1.8071) Prec@1 59.375 (58.967) Prec@5 76.562 (80.809) Epoch: [38][7480/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7338 (1.8070) Prec@1 57.031 (58.967) Prec@5 82.031 (80.809) Epoch: [38][7490/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5698 (1.8070) Prec@1 66.406 (58.967) Prec@5 85.938 (80.810) Epoch: [38][7500/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9806 (1.8071) Prec@1 61.719 (58.965) Prec@5 76.562 (80.807) Epoch: [38][7510/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7629 (1.8070) Prec@1 61.719 (58.967) Prec@5 83.594 (80.808) Epoch: [38][7520/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8301 (1.8069) Prec@1 59.375 (58.969) Prec@5 82.812 (80.809) Epoch: [38][7530/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5146 (1.8070) Prec@1 60.938 (58.967) Prec@5 86.719 (80.808) Epoch: [38][7540/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8849 (1.8072) Prec@1 57.812 (58.967) Prec@5 80.469 (80.807) Epoch: [38][7550/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9432 (1.8073) Prec@1 53.125 (58.963) Prec@5 75.781 (80.804) Epoch: [38][7560/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8621 (1.8074) Prec@1 60.156 (58.960) Prec@5 76.562 (80.803) Epoch: [38][7570/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9658 (1.8074) Prec@1 62.500 (58.958) Prec@5 75.000 (80.802) Epoch: [38][7580/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0095 (1.8076) Prec@1 54.688 (58.956) Prec@5 79.688 (80.800) Epoch: [38][7590/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9442 (1.8075) Prec@1 56.250 (58.957) Prec@5 80.469 (80.804) Epoch: [38][7600/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9593 (1.8075) Prec@1 54.688 (58.955) Prec@5 73.438 (80.804) Epoch: [38][7610/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9069 (1.8075) Prec@1 61.719 (58.957) Prec@5 78.125 (80.803) Epoch: [38][7620/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6340 (1.8075) Prec@1 64.844 (58.957) Prec@5 83.594 (80.802) Epoch: [38][7630/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6979 (1.8075) Prec@1 62.500 (58.957) Prec@5 83.594 (80.803) Epoch: [38][7640/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5899 (1.8075) Prec@1 60.938 (58.958) Prec@5 81.250 (80.803) Epoch: [38][7650/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 1.7763 (1.8076) Prec@1 56.250 (58.957) Prec@5 81.250 (80.802) Epoch: [38][7660/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1085 (1.8078) Prec@1 52.344 (58.951) Prec@5 75.781 (80.800) Epoch: [38][7670/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6618 (1.8078) Prec@1 57.031 (58.950) Prec@5 87.500 (80.799) Epoch: [38][7680/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5191 (1.8078) Prec@1 65.625 (58.953) Prec@5 87.500 (80.800) Epoch: [38][7690/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7403 (1.8077) Prec@1 57.031 (58.955) Prec@5 82.812 (80.802) Epoch: [38][7700/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 1.7408 (1.8076) Prec@1 64.062 (58.957) Prec@5 81.250 (80.802) Epoch: [38][7710/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8557 (1.8075) Prec@1 60.156 (58.958) Prec@5 80.469 (80.803) Epoch: [38][7720/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1407 (1.8076) Prec@1 50.781 (58.956) Prec@5 71.094 (80.800) Epoch: [38][7730/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7449 (1.8076) Prec@1 57.812 (58.958) Prec@5 80.469 (80.800) Epoch: [38][7740/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 1.9507 (1.8077) Prec@1 56.250 (58.956) Prec@5 82.031 (80.798) Epoch: [38][7750/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5823 (1.8076) Prec@1 67.188 (58.959) Prec@5 83.594 (80.799) Epoch: [38][7760/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.1087 (1.8076) Prec@1 55.469 (58.959) Prec@5 74.219 (80.800) Epoch: [38][7770/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7411 (1.8076) Prec@1 56.250 (58.956) Prec@5 82.812 (80.800) Epoch: [38][7780/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.7655 (1.8076) Prec@1 60.156 (58.954) Prec@5 78.906 (80.801) Epoch: [38][7790/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9124 (1.8078) Prec@1 52.344 (58.952) Prec@5 82.031 (80.799) Epoch: [38][7800/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7379 (1.8077) Prec@1 60.938 (58.952) Prec@5 82.812 (80.801) Epoch: [38][7810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0964 (1.8078) Prec@1 53.906 (58.951) Prec@5 74.219 (80.799) Epoch: [38][7820/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5612 (1.8079) Prec@1 64.844 (58.950) Prec@5 82.812 (80.796) Epoch: [38][7830/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8546 (1.8080) Prec@1 64.062 (58.949) Prec@5 78.125 (80.794) Epoch: [38][7840/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6540 (1.8079) Prec@1 63.281 (58.949) Prec@5 82.031 (80.794) Epoch: [38][7850/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9661 (1.8079) Prec@1 54.688 (58.949) Prec@5 74.219 (80.794) Epoch: [38][7860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8647 (1.8080) Prec@1 55.469 (58.947) Prec@5 78.906 (80.795) Epoch: [38][7870/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6940 (1.8080) Prec@1 60.156 (58.946) Prec@5 81.250 (80.793) /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: [38][7880/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6294 (1.8079) Prec@1 63.281 (58.947) Prec@5 87.500 (80.796) Epoch: [38][7890/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9374 (1.8081) Prec@1 50.781 (58.944) Prec@5 80.469 (80.795) Epoch: [38][7900/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.4920 (1.8081) Prec@1 61.719 (58.942) Prec@5 86.719 (80.796) Epoch: [38][7910/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9200 (1.8081) Prec@1 56.250 (58.941) Prec@5 82.812 (80.798) Epoch: [38][7920/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8275 (1.8082) Prec@1 57.812 (58.942) Prec@5 80.469 (80.796) Epoch: [38][7930/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9267 (1.8082) Prec@1 57.031 (58.941) Prec@5 78.125 (80.795) Epoch: [38][7940/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.0432 (1.8082) Prec@1 50.781 (58.942) Prec@5 79.688 (80.795) Epoch: [38][7950/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0444 (1.8083) Prec@1 54.688 (58.939) Prec@5 75.781 (80.792) Epoch: [38][7960/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7171 (1.8083) Prec@1 63.281 (58.939) Prec@5 82.031 (80.794) Epoch: [38][7970/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6448 (1.8083) Prec@1 64.062 (58.937) Prec@5 89.062 (80.794) Epoch: [38][7980/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7790 (1.8084) Prec@1 63.281 (58.938) Prec@5 79.688 (80.792) Epoch: [38][7990/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6044 (1.8083) Prec@1 61.719 (58.936) Prec@5 85.156 (80.795) Epoch: [38][8000/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9602 (1.8085) Prec@1 56.250 (58.933) Prec@5 77.344 (80.792) Epoch: [38][8010/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7550 (1.8085) Prec@1 61.719 (58.932) Prec@5 82.812 (80.793) Epoch: [38][8020/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6348 (1.8085) Prec@1 62.500 (58.931) Prec@5 85.156 (80.792) Epoch: [38][8030/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8607 (1.8085) Prec@1 62.500 (58.933) Prec@5 80.469 (80.792) Epoch: [38][8040/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.5505 (1.8085) Prec@1 57.031 (58.932) Prec@5 84.375 (80.792) Epoch: [38][8050/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.1327 (1.8084) Prec@1 52.344 (58.933) Prec@5 74.219 (80.792) Epoch: [38][8060/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9191 (1.8085) Prec@1 49.219 (58.931) Prec@5 78.906 (80.792) Epoch: [38][8070/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.5421 (1.8085) Prec@1 61.719 (58.930) Prec@5 82.031 (80.792) Epoch: [38][8080/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8965 (1.8085) Prec@1 58.594 (58.931) Prec@5 81.250 (80.793) Epoch: [38][8090/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8750 (1.8084) Prec@1 60.156 (58.931) Prec@5 79.688 (80.793) Epoch: [38][8100/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7763 (1.8083) Prec@1 59.375 (58.933) Prec@5 84.375 (80.798) Epoch: [38][8110/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8360 (1.8082) Prec@1 55.469 (58.932) Prec@5 79.688 (80.797) Epoch: [38][8120/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7228 (1.8081) Prec@1 61.719 (58.934) Prec@5 82.812 (80.798) Epoch: [38][8130/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9515 (1.8081) Prec@1 57.812 (58.934) Prec@5 75.000 (80.799) Epoch: [38][8140/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0404 (1.8080) Prec@1 57.031 (58.937) Prec@5 78.906 (80.800) Epoch: [38][8150/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.8906 (1.8080) Prec@1 59.375 (58.935) Prec@5 77.344 (80.799) Epoch: [38][8160/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.1672 (1.8081) Prec@1 51.562 (58.935) Prec@5 77.344 (80.798) Epoch: [38][8170/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8009 (1.8081) Prec@1 61.719 (58.935) Prec@5 78.906 (80.797) Epoch: [38][8180/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1132 (1.8082) Prec@1 44.531 (58.930) Prec@5 78.125 (80.795) Epoch: [38][8190/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9560 (1.8082) Prec@1 64.062 (58.931) Prec@5 76.562 (80.796) Epoch: [38][8200/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6811 (1.8082) Prec@1 63.281 (58.929) Prec@5 82.812 (80.796) Epoch: [38][8210/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9356 (1.8082) Prec@1 52.344 (58.927) Prec@5 77.344 (80.795) Epoch: [38][8220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9228 (1.8083) Prec@1 60.156 (58.926) Prec@5 77.344 (80.792) Epoch: [38][8230/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.0284 (1.8084) Prec@1 55.469 (58.924) Prec@5 75.781 (80.789) Epoch: [38][8240/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8851 (1.8085) Prec@1 57.812 (58.923) Prec@5 77.344 (80.788) Epoch: [38][8250/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6440 (1.8085) Prec@1 62.500 (58.924) Prec@5 79.688 (80.787) Epoch: [38][8260/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6460 (1.8084) Prec@1 64.062 (58.927) Prec@5 79.688 (80.789) Epoch: [38][8270/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6643 (1.8084) Prec@1 62.500 (58.927) Prec@5 85.938 (80.790) Epoch: [38][8280/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1197 (1.8084) Prec@1 50.000 (58.927) Prec@5 76.562 (80.789) Epoch: [38][8290/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7933 (1.8085) Prec@1 53.125 (58.924) Prec@5 83.594 (80.788) Epoch: [38][8300/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8570 (1.8085) Prec@1 61.719 (58.924) Prec@5 82.031 (80.788) Epoch: [38][8310/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0783 (1.8085) Prec@1 51.562 (58.922) Prec@5 75.000 (80.789) Epoch: [38][8320/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8942 (1.8086) Prec@1 49.219 (58.920) Prec@5 78.906 (80.787) Epoch: [38][8330/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.1029 (1.8086) Prec@1 53.906 (58.922) Prec@5 72.656 (80.786) Epoch: [38][8340/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5717 (1.8087) Prec@1 64.062 (58.922) Prec@5 85.156 (80.785) Epoch: [38][8350/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.1980 (1.8088) Prec@1 54.688 (58.922) Prec@5 77.344 (80.784) Epoch: [38][8360/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9895 (1.8089) Prec@1 60.156 (58.920) Prec@5 73.438 (80.780) Epoch: [38][8370/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5208 (1.8088) Prec@1 65.625 (58.923) Prec@5 86.719 (80.782) Epoch: [38][8380/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.4949 (1.8087) Prec@1 63.281 (58.925) Prec@5 85.156 (80.784) Epoch: [38][8390/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8497 (1.8088) Prec@1 60.938 (58.924) Prec@5 82.031 (80.783) Epoch: [38][8400/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0598 (1.8088) Prec@1 57.812 (58.925) Prec@5 79.688 (80.782) Epoch: [38][8410/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6986 (1.8088) Prec@1 61.719 (58.924) Prec@5 84.375 (80.782) Epoch: [38][8420/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9521 (1.8089) Prec@1 57.031 (58.923) Prec@5 76.562 (80.779) Epoch: [38][8430/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.4207 (1.8089) Prec@1 67.188 (58.923) Prec@5 84.375 (80.781) Epoch: [38][8440/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0527 (1.8090) Prec@1 57.031 (58.921) Prec@5 75.000 (80.779) Epoch: [38][8450/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 1.6160 (1.8090) Prec@1 61.719 (58.921) Prec@5 84.375 (80.780) Epoch: [38][8460/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9413 (1.8091) Prec@1 60.156 (58.921) Prec@5 79.688 (80.779) Epoch: [38][8470/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9344 (1.8091) Prec@1 54.688 (58.919) Prec@5 77.344 (80.778) Epoch: [38][8480/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9692 (1.8091) Prec@1 59.375 (58.920) Prec@5 81.250 (80.778) Epoch: [38][8490/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9816 (1.8091) Prec@1 50.000 (58.920) Prec@5 79.688 (80.779) Epoch: [38][8500/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.1661 (1.8092) Prec@1 50.781 (58.918) Prec@5 70.312 (80.778) Epoch: [38][8510/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.2774 (1.8092) Prec@1 51.562 (58.917) Prec@5 72.656 (80.777) Epoch: [38][8520/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6345 (1.8092) Prec@1 60.938 (58.918) Prec@5 84.375 (80.777) Epoch: [38][8530/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.1068 (1.8092) Prec@1 56.250 (58.916) Prec@5 81.250 (80.776) Epoch: [38][8540/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0253 (1.8093) Prec@1 53.906 (58.916) Prec@5 77.344 (80.775) Epoch: [38][8550/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9964 (1.8094) Prec@1 54.688 (58.914) Prec@5 78.125 (80.774) Epoch: [38][8560/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8930 (1.8094) Prec@1 60.156 (58.915) Prec@5 75.781 (80.773) Epoch: [38][8570/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7920 (1.8095) Prec@1 60.938 (58.915) Prec@5 84.375 (80.771) Epoch: [38][8580/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1422 (1.8097) Prec@1 56.250 (58.912) Prec@5 76.562 (80.770) Epoch: [38][8590/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0530 (1.8098) Prec@1 58.594 (58.910) Prec@5 77.344 (80.767) Epoch: [38][8600/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8363 (1.8098) Prec@1 55.469 (58.911) Prec@5 78.906 (80.767) Epoch: [38][8610/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0821 (1.8099) Prec@1 54.688 (58.908) Prec@5 75.781 (80.765) Epoch: [38][8620/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.2642 (1.8099) Prec@1 71.875 (58.911) Prec@5 88.281 (80.765) Epoch: [38][8630/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.3722 (1.8100) Prec@1 50.781 (58.908) Prec@5 73.438 (80.763) Epoch: [38][8640/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8294 (1.8100) Prec@1 56.250 (58.907) Prec@5 82.812 (80.764) Epoch: [38][8650/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0014 (1.8102) Prec@1 57.031 (58.905) Prec@5 78.125 (80.763) Epoch: [38][8660/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9189 (1.8101) Prec@1 54.688 (58.908) Prec@5 82.031 (80.764) Epoch: [38][8670/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0772 (1.8102) Prec@1 56.250 (58.905) Prec@5 73.438 (80.761) Epoch: [38][8680/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8494 (1.8103) Prec@1 59.375 (58.904) Prec@5 80.469 (80.760) Epoch: [38][8690/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.0203 (1.8103) Prec@1 53.906 (58.904) Prec@5 76.562 (80.759) Epoch: [38][8700/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6766 (1.8104) Prec@1 64.844 (58.904) Prec@5 82.812 (80.757) Epoch: [38][8710/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1433 (1.8104) Prec@1 55.469 (58.904) Prec@5 76.562 (80.756) Epoch: [38][8720/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7027 (1.8104) Prec@1 64.062 (58.905) Prec@5 83.594 (80.758) Epoch: [38][8730/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6229 (1.8104) Prec@1 58.594 (58.905) Prec@5 81.250 (80.757) Epoch: [38][8740/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.4644 (1.8103) Prec@1 66.406 (58.907) Prec@5 85.156 (80.758) Epoch: [38][8750/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7936 (1.8105) Prec@1 60.938 (58.905) Prec@5 80.469 (80.755) Epoch: [38][8760/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9613 (1.8105) Prec@1 60.156 (58.905) Prec@5 78.906 (80.755) Epoch: [38][8770/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.4645 (1.8105) Prec@1 67.969 (58.906) Prec@5 86.719 (80.755) Epoch: [38][8780/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9455 (1.8105) Prec@1 57.031 (58.906) Prec@5 78.906 (80.755) Epoch: [38][8790/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4834 (1.8105) Prec@1 64.062 (58.906) Prec@5 89.844 (80.754) Epoch: [38][8800/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8401 (1.8106) Prec@1 54.688 (58.905) Prec@5 82.031 (80.754) Epoch: [38][8810/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8162 (1.8106) Prec@1 59.375 (58.903) Prec@5 81.250 (80.754) Epoch: [38][8820/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9891 (1.8107) Prec@1 53.906 (58.903) Prec@5 78.906 (80.754) Epoch: [38][8830/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5928 (1.8107) Prec@1 63.281 (58.903) Prec@5 87.500 (80.754) Epoch: [38][8840/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6418 (1.8107) Prec@1 59.375 (58.901) Prec@5 85.938 (80.755) Epoch: [38][8850/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0834 (1.8107) Prec@1 54.688 (58.902) Prec@5 75.781 (80.755) Epoch: [38][8860/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5443 (1.8106) Prec@1 65.625 (58.901) Prec@5 85.156 (80.755) Epoch: [38][8870/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9365 (1.8107) Prec@1 54.688 (58.898) Prec@5 77.344 (80.753) Epoch: [38][8880/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7613 (1.8107) Prec@1 57.812 (58.896) Prec@5 81.250 (80.753) Epoch: [38][8890/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0669 (1.8107) Prec@1 54.688 (58.895) Prec@5 79.688 (80.754) Epoch: [38][8900/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6774 (1.8108) Prec@1 57.031 (58.893) Prec@5 82.031 (80.754) Epoch: [38][8910/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0238 (1.8108) Prec@1 60.156 (58.892) Prec@5 77.344 (80.753) Epoch: [38][8920/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0434 (1.8109) Prec@1 53.906 (58.891) Prec@5 79.688 (80.751) Epoch: [38][8930/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7458 (1.8109) Prec@1 58.594 (58.890) Prec@5 82.031 (80.751) Epoch: [38][8940/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8793 (1.8109) Prec@1 60.156 (58.892) Prec@5 79.688 (80.751) /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][8950/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.1223 (1.8110) Prec@1 53.906 (58.890) Prec@5 78.906 (80.750) Epoch: [38][8960/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8871 (1.8111) Prec@1 57.812 (58.889) Prec@5 82.031 (80.748) Epoch: [38][8970/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8500 (1.8111) Prec@1 58.594 (58.890) Prec@5 78.906 (80.748) Epoch: [38][8980/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8144 (1.8112) Prec@1 58.594 (58.888) Prec@5 80.469 (80.747) Epoch: [38][8990/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6743 (1.8112) Prec@1 62.500 (58.889) Prec@5 82.031 (80.747) Epoch: [38][9000/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 1.8539 (1.8113) Prec@1 56.250 (58.886) Prec@5 79.688 (80.744) Epoch: [38][9010/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5269 (1.8114) Prec@1 67.188 (58.886) Prec@5 86.719 (80.744) Epoch: [38][9020/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8011 (1.8114) Prec@1 57.812 (58.886) Prec@5 80.469 (80.744) Epoch: [38][9030/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1030 (1.8114) Prec@1 53.125 (58.887) Prec@5 82.031 (80.744) Epoch: [38][9040/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.1085 (1.8115) Prec@1 55.469 (58.886) Prec@5 75.781 (80.743) Epoch: [38][9050/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6901 (1.8115) Prec@1 62.500 (58.887) Prec@5 85.156 (80.743) Epoch: [38][9060/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9939 (1.8115) Prec@1 54.688 (58.888) Prec@5 78.906 (80.743) Epoch: [38][9070/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8680 (1.8116) Prec@1 61.719 (58.887) Prec@5 80.469 (80.741) Epoch: [38][9080/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8022 (1.8116) Prec@1 55.469 (58.887) Prec@5 81.250 (80.742) Epoch: [38][9090/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6913 (1.8116) Prec@1 59.375 (58.885) Prec@5 84.375 (80.742) Epoch: [38][9100/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0384 (1.8116) Prec@1 50.781 (58.884) Prec@5 78.125 (80.741) Epoch: [38][9110/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6083 (1.8116) Prec@1 64.062 (58.885) Prec@5 81.250 (80.743) Epoch: [38][9120/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8455 (1.8117) Prec@1 55.469 (58.882) Prec@5 79.688 (80.741) Epoch: [38][9130/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8195 (1.8116) Prec@1 57.031 (58.883) Prec@5 79.688 (80.741) Epoch: [38][9140/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4827 (1.8115) Prec@1 66.406 (58.885) Prec@5 87.500 (80.743) Epoch: [38][9150/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9089 (1.8116) Prec@1 53.125 (58.883) Prec@5 75.781 (80.742) Epoch: [38][9160/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0274 (1.8116) Prec@1 53.125 (58.883) Prec@5 77.344 (80.741) Epoch: [38][9170/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1172 (1.8117) Prec@1 53.125 (58.881) Prec@5 77.344 (80.740) Epoch: [38][9180/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5808 (1.8117) Prec@1 64.844 (58.882) Prec@5 85.156 (80.740) Epoch: [38][9190/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6685 (1.8117) Prec@1 60.938 (58.883) Prec@5 80.469 (80.739) Epoch: [38][9200/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8741 (1.8116) Prec@1 61.719 (58.883) Prec@5 78.125 (80.738) Epoch: [38][9210/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1646 (1.8117) Prec@1 55.469 (58.884) Prec@5 71.875 (80.735) Epoch: [38][9220/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7685 (1.8118) Prec@1 60.938 (58.881) Prec@5 79.688 (80.733) Epoch: [38][9230/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8809 (1.8119) Prec@1 57.031 (58.880) Prec@5 82.031 (80.733) Epoch: [38][9240/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7993 (1.8120) Prec@1 64.062 (58.880) Prec@5 82.031 (80.731) Epoch: [38][9250/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7068 (1.8120) Prec@1 62.500 (58.880) Prec@5 85.156 (80.732) Epoch: [38][9260/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1555 (1.8119) Prec@1 52.344 (58.881) Prec@5 77.344 (80.733) Epoch: [38][9270/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.0758 (1.8120) Prec@1 56.250 (58.882) Prec@5 80.469 (80.732) Epoch: [38][9280/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5679 (1.8120) Prec@1 60.938 (58.879) Prec@5 86.719 (80.732) Epoch: [38][9290/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5254 (1.8120) Prec@1 64.844 (58.880) Prec@5 84.375 (80.731) Epoch: [38][9300/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9420 (1.8121) Prec@1 50.000 (58.879) Prec@5 78.125 (80.730) Epoch: [38][9310/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8070 (1.8121) Prec@1 57.812 (58.879) Prec@5 79.688 (80.730) Epoch: [38][9320/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7700 (1.8121) Prec@1 57.812 (58.879) Prec@5 80.469 (80.730) Epoch: [38][9330/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8799 (1.8120) Prec@1 56.250 (58.880) Prec@5 83.594 (80.732) Epoch: [38][9340/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8780 (1.8120) Prec@1 50.781 (58.879) Prec@5 78.906 (80.732) Epoch: [38][9350/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.4993 (1.8120) Prec@1 64.844 (58.878) Prec@5 88.281 (80.732) Epoch: [38][9360/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8773 (1.8120) Prec@1 60.938 (58.880) Prec@5 79.688 (80.732) Epoch: [38][9370/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8592 (1.8121) Prec@1 61.719 (58.878) Prec@5 81.250 (80.730) Epoch: [38][9380/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9986 (1.8120) Prec@1 54.688 (58.879) Prec@5 77.344 (80.731) Epoch: [38][9390/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0139 (1.8120) Prec@1 55.469 (58.880) Prec@5 75.781 (80.730) Epoch: [38][9400/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5360 (1.8120) Prec@1 63.281 (58.880) Prec@5 87.500 (80.731) Epoch: [38][9410/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8165 (1.8121) Prec@1 61.719 (58.879) Prec@5 82.031 (80.731) Epoch: [38][9420/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8004 (1.8121) Prec@1 58.594 (58.880) Prec@5 78.125 (80.729) Epoch: [38][9430/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7639 (1.8121) Prec@1 57.031 (58.879) Prec@5 83.594 (80.730) Epoch: [38][9440/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0581 (1.8122) Prec@1 53.125 (58.877) Prec@5 77.344 (80.728) Epoch: [38][9450/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.2027 (1.8122) Prec@1 53.125 (58.877) Prec@5 72.656 (80.728) Epoch: [38][9460/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9687 (1.8121) Prec@1 57.031 (58.879) Prec@5 78.906 (80.729) Epoch: [38][9470/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8671 (1.8122) Prec@1 60.938 (58.877) Prec@5 75.781 (80.728) Epoch: [38][9480/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.1307 (1.8122) Prec@1 53.906 (58.877) Prec@5 74.219 (80.728) Epoch: [38][9490/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9713 (1.8122) Prec@1 50.781 (58.877) Prec@5 75.781 (80.727) Epoch: [38][9500/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9297 (1.8123) Prec@1 53.906 (58.874) Prec@5 81.250 (80.729) Epoch: [38][9510/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.1631 (1.8124) Prec@1 51.562 (58.873) Prec@5 75.000 (80.727) Epoch: [38][9520/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7570 (1.8123) Prec@1 53.906 (58.874) Prec@5 81.250 (80.729) Epoch: [38][9530/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6069 (1.8123) Prec@1 64.844 (58.875) Prec@5 84.375 (80.729) Epoch: [38][9540/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6792 (1.8123) Prec@1 67.969 (58.875) Prec@5 82.031 (80.728) Epoch: [38][9550/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6558 (1.8123) Prec@1 57.812 (58.875) Prec@5 81.250 (80.728) Epoch: [38][9560/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8424 (1.8123) Prec@1 60.938 (58.876) Prec@5 80.469 (80.728) Epoch: [38][9570/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.5153 (1.8123) Prec@1 67.188 (58.877) Prec@5 83.594 (80.727) Epoch: [38][9580/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6692 (1.8122) Prec@1 61.719 (58.877) Prec@5 82.031 (80.729) Epoch: [38][9590/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0746 (1.8123) Prec@1 52.344 (58.874) Prec@5 77.344 (80.727) Epoch: [38][9600/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8554 (1.8122) Prec@1 52.344 (58.874) Prec@5 83.594 (80.728) Epoch: [38][9610/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8140 (1.8122) Prec@1 58.594 (58.873) Prec@5 80.469 (80.729) Epoch: [38][9620/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8115 (1.8121) Prec@1 55.469 (58.874) Prec@5 84.375 (80.730) Epoch: [38][9630/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6835 (1.8122) Prec@1 63.281 (58.872) Prec@5 82.812 (80.730) Epoch: [38][9640/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.2711 (1.8123) Prec@1 51.562 (58.869) Prec@5 75.781 (80.728) Epoch: [38][9650/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.6935 (1.8123) Prec@1 58.594 (58.868) Prec@5 78.906 (80.728) Epoch: [38][9660/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9150 (1.8123) Prec@1 56.250 (58.868) Prec@5 76.562 (80.728) Epoch: [38][9670/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7030 (1.8123) Prec@1 64.062 (58.868) Prec@5 82.031 (80.729) Epoch: [38][9680/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8322 (1.8123) Prec@1 58.594 (58.867) Prec@5 82.031 (80.728) Epoch: [38][9690/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8084 (1.8123) Prec@1 57.812 (58.868) Prec@5 82.031 (80.729) Epoch: [38][9700/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0268 (1.8123) Prec@1 51.562 (58.867) Prec@5 79.688 (80.728) Epoch: [38][9710/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8162 (1.8124) Prec@1 55.469 (58.865) Prec@5 79.688 (80.727) Epoch: [38][9720/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8897 (1.8123) Prec@1 55.469 (58.866) Prec@5 82.812 (80.727) Epoch: [38][9730/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.1233 (1.8124) Prec@1 53.125 (58.864) Prec@5 75.000 (80.727) Epoch: [38][9740/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8086 (1.8124) Prec@1 57.812 (58.865) Prec@5 82.031 (80.726) Epoch: [38][9750/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.3993 (1.8123) Prec@1 61.719 (58.864) Prec@5 89.062 (80.728) Epoch: [38][9760/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5042 (1.8123) Prec@1 62.500 (58.864) Prec@5 83.594 (80.728) Epoch: [38][9770/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8790 (1.8122) Prec@1 60.938 (58.864) Prec@5 82.812 (80.729) Epoch: [38][9780/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7699 (1.8123) Prec@1 57.812 (58.863) Prec@5 84.375 (80.728) Epoch: [38][9790/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6899 (1.8124) Prec@1 62.500 (58.862) Prec@5 82.812 (80.728) Epoch: [38][9800/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7681 (1.8125) Prec@1 61.719 (58.861) Prec@5 83.594 (80.728) Epoch: [38][9810/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7757 (1.8125) Prec@1 59.375 (58.861) Prec@5 79.688 (80.728) Epoch: [38][9820/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8857 (1.8126) Prec@1 53.906 (58.861) Prec@5 77.344 (80.726) Epoch: [38][9830/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9493 (1.8125) Prec@1 57.031 (58.863) Prec@5 77.344 (80.726) Epoch: [38][9840/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9230 (1.8126) Prec@1 53.125 (58.863) Prec@5 74.219 (80.724) Epoch: [38][9850/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9867 (1.8126) Prec@1 54.688 (58.863) Prec@5 81.250 (80.723) Epoch: [38][9860/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.0370 (1.8127) Prec@1 56.250 (58.862) Prec@5 77.344 (80.724) Epoch: [38][9870/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9825 (1.8127) Prec@1 54.688 (58.861) Prec@5 80.469 (80.725) Epoch: [38][9880/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7090 (1.8127) Prec@1 61.719 (58.861) Prec@5 80.469 (80.725) Epoch: [38][9890/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0233 (1.8128) Prec@1 53.906 (58.859) Prec@5 77.344 (80.723) Epoch: [38][9900/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.8330 (1.8128) Prec@1 60.156 (58.861) Prec@5 78.125 (80.723) Epoch: [38][9910/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6256 (1.8128) Prec@1 62.500 (58.861) Prec@5 83.594 (80.725) Epoch: [38][9920/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6914 (1.8128) Prec@1 64.062 (58.861) Prec@5 80.469 (80.724) Epoch: [38][9930/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0630 (1.8128) Prec@1 53.125 (58.861) Prec@5 74.219 (80.723) Epoch: [38][9940/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5605 (1.8129) Prec@1 63.281 (58.861) Prec@5 87.500 (80.721) Epoch: [38][9950/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0395 (1.8129) Prec@1 55.469 (58.862) Prec@5 74.219 (80.720) Epoch: [38][9960/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1820 (1.8129) Prec@1 54.688 (58.860) Prec@5 78.125 (80.719) Epoch: [38][9970/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7806 (1.8129) Prec@1 60.938 (58.863) Prec@5 84.375 (80.720) Epoch: [38][9980/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.1795 (1.8129) Prec@1 53.125 (58.863) Prec@5 71.875 (80.719) Epoch: [38][9990/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5036 (1.8129) Prec@1 64.062 (58.863) Prec@5 85.938 (80.719) Epoch: [38][10000/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8391 (1.8128) Prec@1 62.500 (58.864) Prec@5 82.031 (80.720) Test: [0/391] Time 1.684 (1.684) Loss 0.9381 (0.9381) Prec@1 75.781 (75.781) Prec@5 91.406 (91.406) Test: [10/391] Time 0.106 (0.247) Loss 1.5887 (0.9277) Prec@1 65.625 (77.699) Prec@5 85.938 (92.188) Test: [20/391] Time 0.101 (0.180) Loss 1.1366 (1.1952) Prec@1 76.562 (70.833) Prec@5 88.281 (88.690) Test: [30/391] Time 0.108 (0.159) Loss 1.5796 (1.3321) Prec@1 66.406 (67.061) Prec@5 85.938 (87.828) Test: [40/391] Time 0.107 (0.146) Loss 1.7830 (1.2179) Prec@1 56.250 (69.989) Prec@5 81.250 (88.834) Test: [50/391] Time 0.105 (0.138) Loss 0.6941 (1.2384) Prec@1 82.031 (69.684) Prec@5 94.531 (88.634) Test: [60/391] Time 0.106 (0.133) Loss 1.3123 (1.1774) Prec@1 65.625 (71.158) Prec@5 89.844 (89.383) Test: [70/391] Time 0.106 (0.129) Loss 1.5993 (1.2141) Prec@1 51.562 (69.850) Prec@5 91.406 (89.228) Test: [80/391] Time 0.102 (0.127) Loss 1.2020 (1.2364) Prec@1 68.750 (68.895) Prec@5 89.062 (89.082) Test: [90/391] Time 0.108 (0.124) Loss 1.2324 (1.2361) Prec@1 61.719 (68.741) Prec@5 92.188 (89.286) Test: [100/391] Time 0.105 (0.122) Loss 1.1234 (1.2262) Prec@1 71.875 (68.518) Prec@5 91.406 (89.619) Test: [110/391] Time 0.102 (0.120) Loss 1.5918 (1.2289) Prec@1 50.781 (68.215) Prec@5 89.844 (89.766) Test: [120/391] Time 0.103 (0.120) Loss 1.0077 (1.2170) Prec@1 70.312 (68.589) Prec@5 93.750 (89.928) Test: [130/391] Time 0.105 (0.119) Loss 0.7074 (1.2081) Prec@1 82.031 (68.899) Prec@5 93.750 (90.088) Test: [140/391] Time 0.106 (0.118) Loss 1.4239 (1.2083) Prec@1 63.281 (68.900) Prec@5 87.500 (90.115) Test: [150/391] Time 0.107 (0.117) Loss 1.1614 (1.2148) Prec@1 55.469 (68.703) Prec@5 93.750 (90.061) Test: [160/391] Time 0.107 (0.117) Loss 1.4205 (1.2274) Prec@1 61.719 (68.435) Prec@5 90.625 (89.907) Test: [170/391] Time 0.104 (0.116) Loss 1.8529 (1.2603) Prec@1 53.906 (67.914) Prec@5 86.719 (89.433) Test: [180/391] Time 0.110 (0.116) Loss 2.2743 (1.2928) Prec@1 48.438 (67.287) Prec@5 79.688 (88.998) Test: [190/391] Time 0.107 (0.115) Loss 2.3401 (1.3246) Prec@1 49.219 (66.729) Prec@5 81.250 (88.523) Test: [200/391] Time 0.105 (0.115) Loss 1.8392 (1.3561) Prec@1 50.781 (66.084) Prec@5 86.719 (88.118) Test: [210/391] Time 0.105 (0.114) Loss 1.4311 (1.3715) Prec@1 70.312 (65.869) Prec@5 85.938 (87.911) Test: [220/391] Time 0.112 (0.114) Loss 0.8020 (1.3791) Prec@1 81.250 (65.784) Prec@5 92.188 (87.709) Test: [230/391] Time 0.111 (0.114) Loss 2.1202 (1.3941) Prec@1 51.562 (65.608) Prec@5 81.250 (87.500) Test: [240/391] Time 0.110 (0.114) Loss 1.5873 (1.4037) Prec@1 66.406 (65.521) Prec@5 83.594 (87.344) Test: [250/391] Time 0.103 (0.114) Loss 1.3491 (1.4305) Prec@1 72.656 (65.012) Prec@5 85.938 (87.002) Test: [260/391] Time 0.105 (0.113) Loss 1.4706 (1.4434) Prec@1 70.312 (64.772) Prec@5 84.375 (86.850) Test: [270/391] Time 0.105 (0.113) Loss 1.9839 (1.4565) Prec@1 52.344 (64.486) Prec@5 84.375 (86.658) Test: [280/391] Time 0.104 (0.113) Loss 1.8184 (1.4677) Prec@1 55.469 (64.329) Prec@5 81.250 (86.519) Test: [290/391] Time 0.106 (0.112) Loss 2.2384 (1.4834) Prec@1 34.375 (64.087) Prec@5 78.906 (86.262) Test: [300/391] Time 0.105 (0.112) Loss 1.5097 (1.4972) Prec@1 73.438 (63.873) Prec@5 85.938 (86.041) Test: [310/391] Time 0.104 (0.112) Loss 1.6218 (1.5089) Prec@1 61.719 (63.658) Prec@5 84.375 (85.852) Test: [320/391] Time 0.101 (0.112) Loss 1.0831 (1.5183) Prec@1 76.562 (63.508) Prec@5 91.406 (85.755) Test: [330/391] Time 0.108 (0.112) Loss 2.1250 (1.5363) Prec@1 51.562 (63.137) Prec@5 72.656 (85.482) Test: [340/391] Time 0.107 (0.112) Loss 1.6981 (1.5457) Prec@1 54.688 (62.894) Prec@5 85.156 (85.333) Test: [350/391] Time 0.106 (0.111) Loss 1.5823 (1.5510) Prec@1 65.625 (62.827) Prec@5 82.812 (85.221) Test: [360/391] Time 0.103 (0.111) Loss 1.6979 (1.5603) Prec@1 53.906 (62.615) Prec@5 85.938 (85.156) Test: [370/391] Time 0.103 (0.111) Loss 1.3555 (1.5547) Prec@1 58.594 (62.713) Prec@5 90.625 (85.209) Test: [380/391] Time 0.107 (0.111) Loss 0.9581 (1.5536) Prec@1 75.000 (62.717) Prec@5 92.969 (85.220) Test: [390/391] Time 0.070 (0.111) Loss 2.3877 (1.5465) Prec@1 28.750 (62.844) Prec@5 75.000 (85.322) * Prec@1 62.844 Prec@5 85.322 Epoch: [39][0/10010] Time 2.809 (2.809) Data 2.630 (2.630) Loss 1.9212 (1.9212) Prec@1 63.281 (63.281) Prec@5 82.031 (82.031) Epoch: [39][10/10010] Time 0.328 (0.549) Data 0.000 (0.240) Loss 1.7037 (1.8077) Prec@1 60.156 (59.375) Prec@5 82.812 (81.250) Epoch: [39][20/10010] Time 0.327 (0.440) Data 0.000 (0.126) Loss 1.9145 (1.8159) Prec@1 54.688 (59.524) Prec@5 78.906 (80.506) Epoch: [39][30/10010] Time 0.320 (0.402) Data 0.000 (0.085) Loss 1.8028 (1.8289) Prec@1 60.938 (58.947) Prec@5 78.125 (80.242) Epoch: [39][40/10010] Time 0.328 (0.383) Data 0.001 (0.065) Loss 1.7402 (1.8452) Prec@1 57.812 (58.384) Prec@5 85.156 (80.145) Epoch: [39][50/10010] Time 0.323 (0.374) Data 0.001 (0.052) Loss 1.6696 (1.8391) Prec@1 57.812 (58.532) Prec@5 83.594 (80.331) Epoch: [39][60/10010] Time 0.324 (0.366) Data 0.001 (0.044) Loss 1.8158 (1.8144) Prec@1 57.812 (58.901) Prec@5 83.594 (80.712) Epoch: [39][70/10010] Time 0.325 (0.361) Data 0.001 (0.038) Loss 1.7534 (1.8120) Prec@1 58.594 (58.979) Prec@5 79.688 (80.656) Epoch: [39][80/10010] Time 0.330 (0.357) Data 0.000 (0.033) Loss 1.6393 (1.7910) Prec@1 64.844 (59.375) Prec@5 83.594 (80.990) Epoch: [39][90/10010] Time 0.344 (0.354) Data 0.000 (0.029) Loss 1.6233 (1.7877) Prec@1 58.594 (59.444) Prec@5 85.156 (81.147) Epoch: [39][100/10010] Time 0.325 (0.352) Data 0.000 (0.027) Loss 1.7108 (1.7911) Prec@1 56.250 (59.267) Prec@5 86.719 (81.242) Epoch: [39][110/10010] Time 0.326 (0.350) Data 0.000 (0.024) Loss 1.6998 (1.7892) Prec@1 60.938 (59.234) Prec@5 78.906 (81.194) Epoch: [39][120/10010] Time 0.346 (0.349) Data 0.000 (0.022) Loss 1.5969 (1.7895) Prec@1 63.281 (59.214) Prec@5 83.594 (81.173) Epoch: [39][130/10010] Time 0.336 (0.348) Data 0.000 (0.021) Loss 1.9720 (1.7969) Prec@1 57.031 (59.041) Prec@5 78.125 (80.970) Epoch: [39][140/10010] Time 0.331 (0.347) Data 0.000 (0.019) Loss 1.7898 (1.7976) Prec@1 60.938 (59.015) Prec@5 81.250 (80.967) Epoch: [39][150/10010] Time 0.330 (0.346) Data 0.001 (0.018) Loss 1.5693 (1.7894) Prec@1 63.281 (59.292) Prec@5 84.375 (81.131) Epoch: [39][160/10010] Time 0.331 (0.346) Data 0.001 (0.017) Loss 1.6372 (1.7851) Prec@1 67.188 (59.496) Prec@5 82.812 (81.158) Epoch: [39][170/10010] Time 0.320 (0.344) Data 0.000 (0.016) Loss 1.6762 (1.7865) Prec@1 59.375 (59.421) Prec@5 81.250 (81.191) Epoch: [39][180/10010] Time 0.343 (0.343) Data 0.000 (0.015) Loss 1.7632 (1.7847) Prec@1 60.156 (59.427) Prec@5 79.688 (81.103) Epoch: [39][190/10010] Time 0.332 (0.343) Data 0.000 (0.014) Loss 1.7376 (1.7835) Prec@1 57.031 (59.494) Prec@5 82.812 (81.111) Epoch: [39][200/10010] Time 0.319 (0.342) Data 0.000 (0.014) Loss 1.6169 (1.7845) Prec@1 60.156 (59.387) Prec@5 84.375 (81.079) Epoch: [39][210/10010] Time 0.337 (0.342) Data 0.001 (0.013) Loss 1.7830 (1.7843) Prec@1 62.500 (59.394) Prec@5 82.812 (81.076) Epoch: [39][220/10010] Time 0.329 (0.341) Data 0.000 (0.012) Loss 1.9648 (1.7849) Prec@1 55.469 (59.410) Prec@5 80.469 (81.056) Epoch: [39][230/10010] Time 0.333 (0.341) Data 0.001 (0.012) Loss 1.8642 (1.7851) Prec@1 64.062 (59.456) Prec@5 79.688 (81.078) Epoch: [39][240/10010] Time 0.338 (0.340) Data 0.000 (0.011) Loss 1.4764 (1.7884) Prec@1 61.719 (59.352) Prec@5 86.719 (81.007) Epoch: [39][250/10010] Time 0.322 (0.340) Data 0.000 (0.011) Loss 2.0684 (1.7925) Prec@1 47.656 (59.216) Prec@5 74.219 (80.948) Epoch: [39][260/10010] Time 0.321 (0.340) Data 0.000 (0.011) Loss 1.8428 (1.7926) Prec@1 55.469 (59.153) Prec@5 81.250 (80.960) Epoch: [39][270/10010] Time 0.345 (0.340) Data 0.000 (0.010) Loss 1.7813 (1.7930) Prec@1 57.031 (59.153) Prec@5 80.469 (80.967) Epoch: [39][280/10010] Time 0.350 (0.340) Data 0.000 (0.010) Loss 2.0817 (1.7947) Prec@1 54.688 (59.136) Prec@5 76.562 (80.916) Epoch: [39][290/10010] Time 0.319 (0.339) Data 0.000 (0.010) Loss 1.8965 (1.7939) Prec@1 56.250 (59.096) Prec@5 78.125 (80.882) Epoch: [39][300/10010] Time 0.335 (0.339) Data 0.000 (0.009) Loss 1.7043 (1.7921) Prec@1 55.469 (59.128) Prec@5 85.156 (80.936) Epoch: [39][310/10010] Time 0.328 (0.338) Data 0.000 (0.009) Loss 1.9334 (1.7916) Prec@1 57.812 (59.166) Prec@5 78.906 (80.893) Epoch: [39][320/10010] Time 0.320 (0.338) Data 0.000 (0.009) Loss 1.6102 (1.7911) Prec@1 58.594 (59.161) Prec@5 85.156 (80.936) Epoch: [39][330/10010] Time 0.329 (0.338) Data 0.000 (0.008) Loss 1.7419 (1.7918) Prec@1 59.375 (59.134) Prec@5 82.031 (80.915) Epoch: [39][340/10010] Time 0.330 (0.337) Data 0.000 (0.008) Loss 1.7427 (1.7933) Prec@1 57.812 (59.137) Prec@5 83.594 (80.909) Epoch: [39][350/10010] Time 0.336 (0.337) Data 0.000 (0.008) Loss 1.7780 (1.7947) Prec@1 60.156 (59.103) Prec@5 82.031 (80.896) Epoch: [39][360/10010] Time 0.336 (0.337) Data 0.001 (0.008) Loss 1.8566 (1.7952) Prec@1 57.031 (59.109) Prec@5 81.250 (80.906) Epoch: [39][370/10010] Time 0.334 (0.337) Data 0.001 (0.008) Loss 1.7404 (1.7937) Prec@1 60.938 (59.129) Prec@5 82.031 (80.947) Epoch: [39][380/10010] Time 0.329 (0.337) Data 0.000 (0.007) Loss 1.5739 (1.7910) Prec@1 60.938 (59.211) Prec@5 85.938 (80.973) Epoch: [39][390/10010] Time 0.332 (0.337) Data 0.001 (0.007) Loss 1.9381 (1.7894) Prec@1 60.156 (59.275) Prec@5 77.344 (80.994) Epoch: [39][400/10010] Time 0.328 (0.337) Data 0.001 (0.007) Loss 1.9036 (1.7882) Prec@1 59.375 (59.287) Prec@5 78.125 (81.014) Epoch: [39][410/10010] Time 0.322 (0.336) Data 0.001 (0.007) Loss 1.6154 (1.7877) Prec@1 62.500 (59.289) Prec@5 82.812 (81.028) Epoch: [39][420/10010] Time 0.320 (0.336) Data 0.000 (0.007) Loss 1.7554 (1.7891) Prec@1 59.375 (59.254) Prec@5 83.594 (81.007) Epoch: [39][430/10010] Time 0.341 (0.336) Data 0.000 (0.007) Loss 1.8641 (1.7918) Prec@1 61.719 (59.196) Prec@5 82.031 (80.960) Epoch: [39][440/10010] Time 0.338 (0.336) Data 0.001 (0.006) Loss 2.2107 (1.7933) Prec@1 60.938 (59.216) Prec@5 72.656 (80.940) Epoch: [39][450/10010] Time 0.336 (0.336) Data 0.000 (0.006) Loss 1.7530 (1.7965) Prec@1 60.938 (59.164) Prec@5 80.469 (80.865) Epoch: [39][460/10010] Time 0.330 (0.336) Data 0.000 (0.006) Loss 1.5812 (1.7944) Prec@1 62.500 (59.211) Prec@5 85.938 (80.903) Epoch: [39][470/10010] Time 0.326 (0.336) Data 0.000 (0.006) Loss 1.8233 (1.7940) Prec@1 57.812 (59.219) Prec@5 82.812 (80.897) Epoch: [39][480/10010] Time 0.339 (0.336) Data 0.001 (0.006) Loss 1.5045 (1.7922) Prec@1 61.719 (59.219) Prec@5 85.938 (80.935) Epoch: [39][490/10010] Time 0.327 (0.336) Data 0.001 (0.006) Loss 2.0042 (1.7941) Prec@1 51.562 (59.179) Prec@5 80.469 (80.903) Epoch: [39][500/10010] Time 0.326 (0.336) Data 0.001 (0.006) Loss 1.8484 (1.7926) Prec@1 60.156 (59.233) Prec@5 78.906 (80.935) Epoch: [39][510/10010] Time 0.322 (0.335) Data 0.001 (0.006) Loss 1.5372 (1.7926) Prec@1 62.500 (59.233) Prec@5 85.938 (80.929) Epoch: [39][520/10010] Time 0.332 (0.335) Data 0.001 (0.006) Loss 1.7180 (1.7942) Prec@1 57.812 (59.209) Prec@5 85.156 (80.907) Epoch: [39][530/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 1.7133 (1.7956) Prec@1 62.500 (59.150) Prec@5 82.031 (80.869) Epoch: [39][540/10010] Time 0.323 (0.335) Data 0.001 (0.005) Loss 2.3041 (1.7958) Prec@1 47.656 (59.167) Prec@5 74.219 (80.859) Epoch: [39][550/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 1.5969 (1.7940) Prec@1 64.844 (59.178) Prec@5 82.031 (80.879) Epoch: [39][560/10010] Time 0.343 (0.335) Data 0.001 (0.005) Loss 1.6888 (1.7910) Prec@1 64.062 (59.243) Prec@5 78.906 (80.932) Epoch: [39][570/10010] Time 0.340 (0.335) Data 0.001 (0.005) Loss 1.9794 (1.7903) Prec@1 52.344 (59.268) Prec@5 79.688 (80.942) Epoch: [39][580/10010] Time 0.323 (0.335) Data 0.001 (0.005) Loss 1.5646 (1.7900) Prec@1 63.281 (59.269) Prec@5 82.031 (80.946) Epoch: [39][590/10010] Time 0.341 (0.335) Data 0.000 (0.005) Loss 2.0670 (1.7910) Prec@1 54.688 (59.236) Prec@5 76.562 (80.938) Epoch: [39][600/10010] Time 0.338 (0.334) Data 0.000 (0.005) Loss 2.2273 (1.7909) Prec@1 47.656 (59.233) Prec@5 75.781 (80.933) Epoch: [39][610/10010] Time 0.344 (0.334) Data 0.000 (0.005) Loss 1.7282 (1.7904) Prec@1 60.938 (59.236) Prec@5 82.031 (80.935) Epoch: [39][620/10010] Time 0.336 (0.334) Data 0.000 (0.005) Loss 1.8011 (1.7913) Prec@1 63.281 (59.213) Prec@5 81.250 (80.927) Epoch: [39][630/10010] Time 0.336 (0.334) Data 0.000 (0.005) Loss 1.7375 (1.7921) Prec@1 60.938 (59.172) Prec@5 80.469 (80.905) Epoch: [39][640/10010] Time 0.338 (0.334) Data 0.001 (0.005) Loss 1.8521 (1.7913) Prec@1 60.938 (59.197) Prec@5 79.688 (80.905) Epoch: [39][650/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 1.6513 (1.7907) Prec@1 57.031 (59.182) Prec@5 84.375 (80.931) Epoch: [39][660/10010] Time 0.319 (0.334) Data 0.000 (0.005) Loss 2.0072 (1.7911) Prec@1 53.125 (59.189) Prec@5 73.438 (80.906) Epoch: [39][670/10010] Time 0.330 (0.334) Data 0.001 (0.004) Loss 1.8875 (1.7906) Prec@1 60.938 (59.203) Prec@5 78.125 (80.925) Epoch: [39][680/10010] Time 0.337 (0.334) Data 0.000 (0.004) Loss 1.7352 (1.7898) Prec@1 62.500 (59.222) Prec@5 81.250 (80.944) Epoch: [39][690/10010] Time 0.317 (0.334) Data 0.001 (0.004) Loss 1.7215 (1.7902) Prec@1 60.156 (59.211) Prec@5 84.375 (80.940) Epoch: [39][700/10010] Time 0.332 (0.334) Data 0.000 (0.004) Loss 1.8856 (1.7901) Prec@1 58.594 (59.203) Prec@5 79.688 (80.941) Epoch: [39][710/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 1.7408 (1.7902) Prec@1 62.500 (59.202) Prec@5 80.469 (80.918) Epoch: [39][720/10010] Time 0.323 (0.334) Data 0.001 (0.004) Loss 1.7892 (1.7910) Prec@1 60.938 (59.178) Prec@5 84.375 (80.910) Epoch: [39][730/10010] Time 0.332 (0.334) Data 0.000 (0.004) Loss 2.0493 (1.7921) Prec@1 50.781 (59.146) Prec@5 77.344 (80.892) Epoch: [39][740/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 1.8263 (1.7927) Prec@1 59.375 (59.129) Prec@5 78.906 (80.873) Epoch: [39][750/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 2.2887 (1.7941) Prec@1 52.344 (59.103) Prec@5 75.000 (80.848) Epoch: [39][760/10010] Time 0.332 (0.334) Data 0.000 (0.004) Loss 1.9706 (1.7941) Prec@1 57.812 (59.104) Prec@5 76.562 (80.850) Epoch: [39][770/10010] Time 0.344 (0.334) Data 0.000 (0.004) Loss 1.8893 (1.7933) Prec@1 55.469 (59.127) Prec@5 77.344 (80.863) Epoch: [39][780/10010] Time 0.334 (0.334) Data 0.000 (0.004) Loss 1.6489 (1.7933) Prec@1 60.938 (59.112) Prec@5 82.812 (80.858) Epoch: [39][790/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 2.0371 (1.7939) Prec@1 53.125 (59.111) Prec@5 78.125 (80.853) Epoch: [39][800/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 1.7870 (1.7950) Prec@1 58.594 (59.100) Prec@5 82.031 (80.835) Epoch: [39][810/10010] Time 0.323 (0.334) Data 0.000 (0.004) Loss 1.4371 (1.7939) Prec@1 64.844 (59.124) Prec@5 83.594 (80.844) Epoch: [39][820/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 1.5351 (1.7940) Prec@1 64.062 (59.129) Prec@5 84.375 (80.838) Epoch: [39][830/10010] Time 0.330 (0.333) Data 0.001 (0.004) Loss 1.4816 (1.7941) Prec@1 65.625 (59.123) Prec@5 85.156 (80.832) Epoch: [39][840/10010] Time 0.319 (0.333) Data 0.001 (0.004) Loss 1.8372 (1.7940) Prec@1 58.594 (59.112) Prec@5 78.125 (80.840) Epoch: [39][850/10010] Time 0.344 (0.333) Data 0.000 (0.004) Loss 1.7070 (1.7940) Prec@1 61.719 (59.108) Prec@5 85.938 (80.848) Epoch: [39][860/10010] Time 0.330 (0.334) Data 0.001 (0.004) Loss 1.5766 (1.7944) Prec@1 63.281 (59.106) Prec@5 82.031 (80.836) Epoch: [39][870/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 1.6052 (1.7935) Prec@1 62.500 (59.121) Prec@5 85.156 (80.844) Epoch: [39][880/10010] Time 0.338 (0.333) Data 0.001 (0.004) Loss 2.0095 (1.7940) Prec@1 57.031 (59.109) Prec@5 76.562 (80.845) Epoch: [39][890/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 1.8435 (1.7929) Prec@1 57.031 (59.133) Prec@5 81.250 (80.861) Epoch: [39][900/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 1.5992 (1.7929) Prec@1 59.375 (59.132) Prec@5 86.719 (80.866) Epoch: [39][910/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 1.8952 (1.7938) Prec@1 53.906 (59.114) Prec@5 80.469 (80.844) Epoch: [39][920/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.9111 (1.7946) Prec@1 55.469 (59.093) Prec@5 78.125 (80.832) Epoch: [39][930/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.8372 (1.7945) Prec@1 56.250 (59.084) Prec@5 80.469 (80.836) Epoch: [39][940/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 1.8463 (1.7942) Prec@1 57.812 (59.095) Prec@5 78.125 (80.839) Epoch: [39][950/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.5984 (1.7943) Prec@1 61.719 (59.082) Prec@5 82.031 (80.843) Epoch: [39][960/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 1.5936 (1.7941) Prec@1 61.719 (59.095) Prec@5 82.812 (80.847) Epoch: [39][970/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 1.8136 (1.7950) Prec@1 56.250 (59.075) Prec@5 78.906 (80.840) Epoch: [39][980/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.7342 (1.7949) Prec@1 64.062 (59.073) Prec@5 80.469 (80.838) Epoch: [39][990/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 2.1004 (1.7951) Prec@1 55.469 (59.086) Prec@5 72.656 (80.833) Epoch: [39][1000/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 1.5075 (1.7943) Prec@1 69.531 (59.117) Prec@5 86.719 (80.843) Epoch: [39][1010/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.0506 (1.7943) Prec@1 55.469 (59.110) Prec@5 74.219 (80.845) Epoch: [39][1020/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 1.6933 (1.7937) Prec@1 59.375 (59.112) Prec@5 83.594 (80.859) Epoch: [39][1030/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.8217 (1.7934) Prec@1 58.594 (59.107) Prec@5 84.375 (80.867) Epoch: [39][1040/10010] Time 0.347 (0.333) Data 0.001 (0.003) Loss 1.7239 (1.7933) Prec@1 54.688 (59.112) Prec@5 81.250 (80.854) Epoch: [39][1050/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.9055 (1.7931) Prec@1 64.062 (59.117) Prec@5 80.469 (80.860) Epoch: [39][1060/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 2.0541 (1.7933) Prec@1 55.469 (59.116) Prec@5 75.781 (80.857) Epoch: [39][1070/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 1.6198 (1.7937) Prec@1 61.719 (59.119) Prec@5 83.594 (80.844) Epoch: [39][1080/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 2.1413 (1.7926) Prec@1 50.781 (59.149) Prec@5 75.781 (80.874) Epoch: [39][1090/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 1.8281 (1.7915) Prec@1 53.906 (59.158) Prec@5 81.250 (80.896) Epoch: [39][1100/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.8297 (1.7908) Prec@1 56.250 (59.178) Prec@5 78.906 (80.909) Epoch: [39][1110/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 1.7578 (1.7916) Prec@1 57.812 (59.161) Prec@5 80.469 (80.891) Epoch: [39][1120/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.8192 (1.7924) Prec@1 60.156 (59.158) Prec@5 80.469 (80.879) Epoch: [39][1130/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 1.8720 (1.7927) Prec@1 56.250 (59.135) Prec@5 81.250 (80.876) Epoch: [39][1140/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.8213 (1.7921) Prec@1 60.156 (59.152) Prec@5 84.375 (80.895) Epoch: [39][1150/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.7917 (1.7929) Prec@1 55.469 (59.128) Prec@5 80.469 (80.876) Epoch: [39][1160/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 2.0162 (1.7930) Prec@1 57.031 (59.130) Prec@5 78.125 (80.878) Epoch: [39][1170/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.7822 (1.7930) Prec@1 57.812 (59.121) Prec@5 80.469 (80.884) Epoch: [39][1180/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 1.7271 (1.7925) Prec@1 59.375 (59.126) Prec@5 79.688 (80.883) Epoch: [39][1190/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 1.8309 (1.7930) Prec@1 51.562 (59.119) Prec@5 80.469 (80.876) Epoch: [39][1200/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 1.9378 (1.7932) Prec@1 50.000 (59.115) Prec@5 81.250 (80.874) Epoch: [39][1210/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 1.7958 (1.7935) Prec@1 56.250 (59.103) Prec@5 79.688 (80.867) Epoch: [39][1220/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.5189 (1.7932) Prec@1 66.406 (59.127) Prec@5 88.281 (80.880) Epoch: [39][1230/10010] Time 0.327 (0.332) Data 0.001 (0.003) Loss 1.8854 (1.7936) Prec@1 59.375 (59.126) Prec@5 79.688 (80.876) Epoch: [39][1240/10010] Time 0.327 (0.332) Data 0.000 (0.003) Loss 1.9924 (1.7940) Prec@1 52.344 (59.121) Prec@5 77.344 (80.861) Epoch: [39][1250/10010] Time 0.337 (0.332) Data 0.000 (0.003) Loss 1.9513 (1.7938) Prec@1 53.125 (59.120) Prec@5 81.250 (80.865) Epoch: [39][1260/10010] Time 0.341 (0.332) Data 0.000 (0.003) Loss 1.8914 (1.7937) Prec@1 50.000 (59.128) Prec@5 80.469 (80.873) Epoch: [39][1270/10010] Time 0.330 (0.332) Data 0.001 (0.003) Loss 1.7327 (1.7931) Prec@1 60.156 (59.143) Prec@5 79.688 (80.874) Epoch: [39][1280/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 1.8878 (1.7936) Prec@1 56.250 (59.126) Prec@5 77.344 (80.863) Epoch: [39][1290/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 1.7299 (1.7943) Prec@1 66.406 (59.120) Prec@5 82.031 (80.851) Epoch: [39][1300/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 1.9267 (1.7942) Prec@1 57.031 (59.122) Prec@5 80.469 (80.849) Epoch: [39][1310/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 2.1629 (1.7948) Prec@1 48.438 (59.115) Prec@5 71.875 (80.832) Epoch: [39][1320/10010] Time 0.336 (0.332) Data 0.001 (0.003) Loss 1.6241 (1.7946) Prec@1 60.938 (59.125) Prec@5 86.719 (80.846) Epoch: [39][1330/10010] Time 0.317 (0.332) Data 0.000 (0.003) Loss 2.0315 (1.7945) Prec@1 54.688 (59.124) Prec@5 79.688 (80.853) Epoch: [39][1340/10010] Time 0.339 (0.332) Data 0.000 (0.003) Loss 1.9648 (1.7947) Prec@1 56.250 (59.129) Prec@5 80.469 (80.849) Epoch: [39][1350/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.0122 (1.7948) Prec@1 55.469 (59.136) Prec@5 74.219 (80.844) Epoch: [39][1360/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 1.7841 (1.7948) Prec@1 57.031 (59.128) Prec@5 81.250 (80.848) Epoch: [39][1370/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.5585 (1.7945) Prec@1 62.500 (59.143) Prec@5 86.719 (80.849) Epoch: [39][1380/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 1.8163 (1.7948) Prec@1 57.031 (59.129) Prec@5 79.688 (80.848) Epoch: [39][1390/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.9992 (1.7951) Prec@1 54.688 (59.123) Prec@5 75.781 (80.844) Epoch: [39][1400/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.9162 (1.7950) Prec@1 53.906 (59.116) Prec@5 79.688 (80.839) Epoch: [39][1410/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.5319 (1.7953) Prec@1 57.031 (59.102) Prec@5 84.375 (80.830) Epoch: [39][1420/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.5427 (1.7956) Prec@1 64.844 (59.093) Prec@5 85.156 (80.824) Epoch: [39][1430/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5783 (1.7960) Prec@1 65.625 (59.088) Prec@5 84.375 (80.822) Epoch: [39][1440/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7907 (1.7959) Prec@1 63.281 (59.085) Prec@5 83.594 (80.829) Epoch: [39][1450/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8790 (1.7958) Prec@1 58.594 (59.089) Prec@5 77.344 (80.835) Epoch: [39][1460/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.8486 (1.7959) Prec@1 62.500 (59.087) Prec@5 76.562 (80.827) Epoch: [39][1470/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7075 (1.7963) Prec@1 55.469 (59.089) Prec@5 81.250 (80.818) Epoch: [39][1480/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.7749 (1.7965) Prec@1 60.938 (59.087) Prec@5 78.125 (80.814) Epoch: [39][1490/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.1680 (1.7970) Prec@1 50.781 (59.075) Prec@5 75.781 (80.801) Epoch: [39][1500/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.0661 (1.7967) Prec@1 51.562 (59.074) Prec@5 78.125 (80.812) Epoch: [39][1510/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.9750 (1.7968) Prec@1 56.250 (59.069) Prec@5 75.781 (80.809) Epoch: [39][1520/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.9619 (1.7972) Prec@1 57.031 (59.054) Prec@5 78.125 (80.801) Epoch: [39][1530/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.8678 (1.7969) Prec@1 53.906 (59.065) Prec@5 82.031 (80.813) Epoch: [39][1540/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.8777 (1.7969) Prec@1 57.812 (59.062) Prec@5 81.250 (80.817) Epoch: [39][1550/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.9025 (1.7970) Prec@1 59.375 (59.051) Prec@5 76.562 (80.810) Epoch: [39][1560/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.5609 (1.7967) Prec@1 57.812 (59.054) Prec@5 82.031 (80.809) Epoch: [39][1570/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.0309 (1.7970) Prec@1 58.594 (59.049) Prec@5 77.344 (80.806) Epoch: [39][1580/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.8326 (1.7981) Prec@1 59.375 (59.035) Prec@5 79.688 (80.786) Epoch: [39][1590/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8507 (1.7985) Prec@1 58.594 (59.026) Prec@5 81.250 (80.789) Epoch: [39][1600/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.8676 (1.7978) Prec@1 63.281 (59.042) Prec@5 79.688 (80.803) Epoch: [39][1610/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7618 (1.7979) Prec@1 60.938 (59.041) Prec@5 80.469 (80.802) Epoch: [39][1620/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.6376 (1.7978) Prec@1 61.719 (59.040) Prec@5 82.031 (80.804) Epoch: [39][1630/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.6298 (1.7973) Prec@1 61.719 (59.047) Prec@5 84.375 (80.811) Epoch: [39][1640/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.9082 (1.7964) Prec@1 58.594 (59.058) Prec@5 79.688 (80.822) Epoch: [39][1650/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.9187 (1.7966) Prec@1 61.719 (59.061) Prec@5 81.250 (80.826) Epoch: [39][1660/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.7134 (1.7965) Prec@1 62.500 (59.072) Prec@5 82.031 (80.831) Epoch: [39][1670/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.6002 (1.7967) Prec@1 64.062 (59.060) Prec@5 82.812 (80.832) Epoch: [39][1680/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8854 (1.7968) Prec@1 57.812 (59.062) Prec@5 77.344 (80.829) Epoch: [39][1690/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.8734 (1.7970) Prec@1 60.156 (59.070) Prec@5 77.344 (80.823) Epoch: [39][1700/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.6651 (1.7973) Prec@1 60.938 (59.061) Prec@5 83.594 (80.820) Epoch: [39][1710/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.0433 (1.7973) Prec@1 53.125 (59.055) Prec@5 77.344 (80.826) Epoch: [39][1720/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.6997 (1.7980) Prec@1 59.375 (59.044) Prec@5 83.594 (80.816) Epoch: [39][1730/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.0348 (1.7978) Prec@1 55.469 (59.055) Prec@5 75.000 (80.814) Epoch: [39][1740/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.7206 (1.7975) Prec@1 59.375 (59.051) Prec@5 85.156 (80.821) Epoch: [39][1750/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.5382 (1.7975) Prec@1 64.062 (59.054) Prec@5 81.250 (80.822) Epoch: [39][1760/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.0374 (1.7981) Prec@1 49.219 (59.038) Prec@5 76.562 (80.816) Epoch: [39][1770/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9918 (1.7984) Prec@1 54.688 (59.038) Prec@5 77.344 (80.811) Epoch: [39][1780/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 2.1159 (1.7988) Prec@1 48.438 (59.034) Prec@5 77.344 (80.807) Epoch: [39][1790/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 2.2089 (1.7992) Prec@1 50.000 (59.029) Prec@5 75.000 (80.804) Epoch: [39][1800/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.4984 (1.7989) Prec@1 65.625 (59.035) Prec@5 83.594 (80.803) Epoch: [39][1810/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.1315 (1.7994) Prec@1 52.344 (59.033) Prec@5 75.000 (80.796) Epoch: [39][1820/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.5809 (1.7990) Prec@1 63.281 (59.047) Prec@5 83.594 (80.796) Epoch: [39][1830/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.7944 (1.7988) Prec@1 63.281 (59.056) Prec@5 82.031 (80.789) Epoch: [39][1840/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 1.6928 (1.7980) Prec@1 64.062 (59.067) Prec@5 79.688 (80.803) Epoch: [39][1850/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.4309 (1.7974) Prec@1 63.281 (59.077) Prec@5 82.812 (80.812) Epoch: [39][1860/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.6884 (1.7972) Prec@1 59.375 (59.084) Prec@5 82.031 (80.811) Epoch: [39][1870/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.7713 (1.7976) Prec@1 61.719 (59.072) Prec@5 78.125 (80.800) Epoch: [39][1880/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.9597 (1.7978) Prec@1 58.594 (59.078) Prec@5 81.250 (80.803) Epoch: [39][1890/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.3670 (1.7982) Prec@1 52.344 (59.078) Prec@5 73.438 (80.796) Epoch: [39][1900/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.7740 (1.7983) Prec@1 60.156 (59.076) Prec@5 84.375 (80.798) Epoch: [39][1910/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.7179 (1.7980) Prec@1 59.375 (59.075) Prec@5 80.469 (80.808) Epoch: [39][1920/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.7671 (1.7980) Prec@1 57.812 (59.070) Prec@5 84.375 (80.810) Epoch: [39][1930/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.6277 (1.7980) Prec@1 58.594 (59.072) Prec@5 85.938 (80.822) Epoch: [39][1940/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.7969 (1.7983) Prec@1 59.375 (59.061) Prec@5 82.031 (80.818) Epoch: [39][1950/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7927 (1.7985) Prec@1 65.625 (59.054) Prec@5 79.688 (80.812) Epoch: [39][1960/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 1.7444 (1.7987) Prec@1 60.156 (59.051) Prec@5 82.031 (80.810) Epoch: [39][1970/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.9262 (1.7991) Prec@1 57.812 (59.044) Prec@5 77.344 (80.802) Epoch: [39][1980/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.8632 (1.7992) Prec@1 53.906 (59.041) Prec@5 78.906 (80.796) Epoch: [39][1990/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.5584 (1.7991) Prec@1 61.719 (59.045) Prec@5 82.031 (80.799) Epoch: [39][2000/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.7839 (1.7994) Prec@1 60.156 (59.042) Prec@5 81.250 (80.793) Epoch: [39][2010/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.4473 (1.7992) Prec@1 61.719 (59.035) Prec@5 89.062 (80.797) Epoch: [39][2020/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.7612 (1.7991) Prec@1 59.375 (59.033) Prec@5 82.031 (80.802) Epoch: [39][2030/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.4639 (1.7988) Prec@1 64.062 (59.036) Prec@5 85.156 (80.807) Epoch: [39][2040/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.6218 (1.7986) Prec@1 61.719 (59.041) Prec@5 85.938 (80.808) Epoch: [39][2050/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.7624 (1.7986) Prec@1 64.062 (59.050) Prec@5 83.594 (80.810) Epoch: [39][2060/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8888 (1.7987) Prec@1 57.031 (59.044) Prec@5 76.562 (80.811) Epoch: [39][2070/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.0858 (1.7989) Prec@1 50.781 (59.034) Prec@5 73.438 (80.804) Epoch: [39][2080/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.6883 (1.7993) Prec@1 57.812 (59.038) Prec@5 82.031 (80.802) Epoch: [39][2090/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 1.5687 (1.7990) Prec@1 67.188 (59.044) Prec@5 82.031 (80.803) Epoch: [39][2100/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8744 (1.7991) Prec@1 61.719 (59.050) Prec@5 78.125 (80.803) Epoch: [39][2110/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.7534 (1.7990) Prec@1 55.469 (59.045) Prec@5 82.812 (80.805) Epoch: [39][2120/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.5838 (1.7991) Prec@1 64.844 (59.047) Prec@5 82.812 (80.801) Epoch: [39][2130/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.0656 (1.7993) Prec@1 52.344 (59.042) Prec@5 74.219 (80.798) Epoch: [39][2140/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.9794 (1.7995) Prec@1 53.906 (59.034) Prec@5 78.125 (80.794) Epoch: [39][2150/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.7162 (1.7993) Prec@1 63.281 (59.035) Prec@5 81.250 (80.800) Epoch: [39][2160/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5664 (1.7991) Prec@1 67.969 (59.049) Prec@5 82.031 (80.803) Epoch: [39][2170/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.6671 (1.7986) Prec@1 60.938 (59.058) Prec@5 83.594 (80.810) Epoch: [39][2180/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.7675 (1.7985) Prec@1 56.250 (59.063) Prec@5 84.375 (80.810) Epoch: [39][2190/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.7325 (1.7984) Prec@1 60.938 (59.061) Prec@5 79.688 (80.811) Epoch: [39][2200/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.4979 (1.7981) Prec@1 58.594 (59.062) Prec@5 83.594 (80.818) Epoch: [39][2210/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.8069 (1.7978) Prec@1 60.938 (59.073) Prec@5 82.031 (80.825) Epoch: [39][2220/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.0867 (1.7976) Prec@1 53.125 (59.072) Prec@5 78.125 (80.829) Epoch: [39][2230/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.7624 (1.7976) Prec@1 63.281 (59.078) Prec@5 78.125 (80.827) Epoch: [39][2240/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.0140 (1.7978) Prec@1 56.250 (59.073) Prec@5 76.562 (80.825) Epoch: [39][2250/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.6474 (1.7979) Prec@1 59.375 (59.077) Prec@5 85.938 (80.829) Epoch: [39][2260/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.6904 (1.7979) Prec@1 64.062 (59.074) Prec@5 82.812 (80.830) Epoch: [39][2270/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.9265 (1.7986) Prec@1 54.688 (59.065) Prec@5 78.906 (80.821) Epoch: [39][2280/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.7756 (1.7984) Prec@1 62.500 (59.071) Prec@5 82.031 (80.824) Epoch: [39][2290/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.7910 (1.7990) Prec@1 56.250 (59.058) Prec@5 79.688 (80.814) Epoch: [39][2300/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.8316 (1.7990) Prec@1 59.375 (59.057) Prec@5 84.375 (80.818) Epoch: [39][2310/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.1476 (1.7988) Prec@1 46.875 (59.063) Prec@5 71.875 (80.821) Epoch: [39][2320/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 1.6894 (1.7990) Prec@1 54.688 (59.055) Prec@5 83.594 (80.813) Epoch: [39][2330/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8792 (1.7991) Prec@1 61.719 (59.051) Prec@5 78.906 (80.815) Epoch: [39][2340/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.6612 (1.7995) Prec@1 62.500 (59.045) Prec@5 86.719 (80.810) Epoch: [39][2350/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.8992 (1.7994) Prec@1 60.938 (59.042) Prec@5 78.125 (80.816) Epoch: [39][2360/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.8681 (1.7994) Prec@1 54.688 (59.034) Prec@5 78.125 (80.816) Epoch: [39][2370/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.6059 (1.7989) Prec@1 61.719 (59.042) Prec@5 88.281 (80.824) Epoch: [39][2380/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.7571 (1.7994) Prec@1 59.375 (59.029) Prec@5 80.469 (80.820) Epoch: [39][2390/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6827 (1.7990) Prec@1 62.500 (59.032) Prec@5 85.156 (80.829) Epoch: [39][2400/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.4468 (1.7990) Prec@1 64.062 (59.030) Prec@5 86.719 (80.833) Epoch: [39][2410/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7114 (1.7987) Prec@1 60.156 (59.037) Prec@5 78.906 (80.838) Epoch: [39][2420/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.0035 (1.7988) Prec@1 49.219 (59.029) Prec@5 76.562 (80.835) Epoch: [39][2430/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.6841 (1.7991) Prec@1 60.156 (59.023) Prec@5 84.375 (80.836) Epoch: [39][2440/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.6956 (1.7990) Prec@1 62.500 (59.024) Prec@5 83.594 (80.835) Epoch: [39][2450/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8794 (1.7991) Prec@1 56.250 (59.022) Prec@5 79.688 (80.832) Epoch: [39][2460/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.4629 (1.7990) Prec@1 59.375 (59.020) Prec@5 83.594 (80.833) Epoch: [39][2470/10010] Time 0.340 (0.332) Data 0.002 (0.002) Loss 1.3993 (1.7991) Prec@1 67.188 (59.016) Prec@5 85.938 (80.830) Epoch: [39][2480/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.2923 (1.7991) Prec@1 71.094 (59.019) Prec@5 89.062 (80.830) Epoch: [39][2490/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.6355 (1.7990) Prec@1 63.281 (59.027) Prec@5 82.812 (80.827) Epoch: [39][2500/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.9538 (1.7990) Prec@1 53.125 (59.028) Prec@5 78.125 (80.826) Epoch: [39][2510/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.6048 (1.7986) Prec@1 64.844 (59.031) Prec@5 81.250 (80.827) Epoch: [39][2520/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.9457 (1.7987) Prec@1 52.344 (59.031) Prec@5 78.906 (80.828) Epoch: [39][2530/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.7838 (1.7990) Prec@1 57.812 (59.025) Prec@5 78.906 (80.823) Epoch: [39][2540/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.4478 (1.7987) Prec@1 64.062 (59.026) Prec@5 85.156 (80.831) Epoch: [39][2550/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 2.3722 (1.7987) Prec@1 51.562 (59.019) Prec@5 70.312 (80.833) Epoch: [39][2560/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.8032 (1.7986) Prec@1 58.594 (59.020) Prec@5 82.031 (80.833) Epoch: [39][2570/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.9189 (1.7988) Prec@1 57.031 (59.016) Prec@5 82.031 (80.827) Epoch: [39][2580/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.9658 (1.7991) Prec@1 57.031 (59.016) Prec@5 78.906 (80.824) Epoch: [39][2590/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.6532 (1.7989) Prec@1 60.156 (59.020) Prec@5 84.375 (80.825) Epoch: [39][2600/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7622 (1.7988) Prec@1 62.500 (59.024) Prec@5 78.906 (80.825) Epoch: [39][2610/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 1.8290 (1.7992) Prec@1 60.938 (59.020) Prec@5 75.781 (80.822) Epoch: [39][2620/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.8546 (1.7996) Prec@1 54.688 (59.010) Prec@5 81.250 (80.819) Epoch: [39][2630/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.7138 (1.7996) Prec@1 61.719 (59.008) Prec@5 82.812 (80.818) Epoch: [39][2640/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.8405 (1.8000) Prec@1 58.594 (59.001) Prec@5 82.812 (80.810) Epoch: [39][2650/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8691 (1.8005) Prec@1 57.031 (58.994) Prec@5 78.125 (80.803) Epoch: [39][2660/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.7196 (1.8008) Prec@1 58.594 (58.990) Prec@5 84.375 (80.797) Epoch: [39][2670/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.1107 (1.8008) Prec@1 52.344 (58.991) Prec@5 71.094 (80.798) Epoch: [39][2680/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.0794 (1.8008) Prec@1 55.469 (58.988) Prec@5 75.781 (80.795) Epoch: [39][2690/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 2.2201 (1.8011) Prec@1 53.906 (58.983) Prec@5 75.781 (80.790) Epoch: [39][2700/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.5237 (1.8012) Prec@1 64.062 (58.982) Prec@5 85.938 (80.791) Epoch: [39][2710/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9405 (1.8011) Prec@1 55.469 (58.980) Prec@5 79.688 (80.793) Epoch: [39][2720/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8048 (1.8010) Prec@1 60.156 (58.983) Prec@5 82.031 (80.798) Epoch: [39][2730/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.6790 (1.8009) Prec@1 62.500 (58.982) Prec@5 83.594 (80.799) Epoch: [39][2740/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.9763 (1.8011) Prec@1 54.688 (58.973) Prec@5 76.562 (80.794) Epoch: [39][2750/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.8734 (1.8011) Prec@1 60.156 (58.972) Prec@5 82.031 (80.795) Epoch: [39][2760/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.7653 (1.8011) Prec@1 56.250 (58.976) Prec@5 78.125 (80.794) Epoch: [39][2770/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.8573 (1.8012) Prec@1 53.125 (58.968) Prec@5 76.562 (80.793) Epoch: [39][2780/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8477 (1.8010) Prec@1 57.031 (58.972) Prec@5 81.250 (80.795) Epoch: [39][2790/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.6025 (1.8009) Prec@1 60.938 (58.970) Prec@5 82.031 (80.795) Epoch: [39][2800/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8351 (1.8011) Prec@1 57.031 (58.970) Prec@5 84.375 (80.793) Epoch: [39][2810/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7972 (1.8009) Prec@1 58.594 (58.976) Prec@5 83.594 (80.796) Epoch: [39][2820/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7877 (1.8008) Prec@1 55.469 (58.969) Prec@5 82.031 (80.799) Epoch: [39][2830/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9198 (1.8009) Prec@1 56.250 (58.969) Prec@5 82.031 (80.799) Epoch: [39][2840/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6907 (1.8009) Prec@1 60.938 (58.971) Prec@5 81.250 (80.797) Epoch: [39][2850/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.9841 (1.8009) Prec@1 50.781 (58.962) Prec@5 78.125 (80.799) Epoch: [39][2860/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8338 (1.8012) Prec@1 57.812 (58.957) Prec@5 81.250 (80.793) Epoch: [39][2870/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6510 (1.8013) Prec@1 60.156 (58.958) Prec@5 85.938 (80.793) Epoch: [39][2880/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8863 (1.8010) Prec@1 60.938 (58.963) Prec@5 78.125 (80.796) Epoch: [39][2890/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.3767 (1.8010) Prec@1 67.188 (58.965) Prec@5 89.062 (80.800) Epoch: [39][2900/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6572 (1.8013) Prec@1 60.938 (58.960) Prec@5 83.594 (80.795) Epoch: [39][2910/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8462 (1.8015) Prec@1 58.594 (58.958) Prec@5 79.688 (80.790) Epoch: [39][2920/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8370 (1.8015) Prec@1 59.375 (58.960) Prec@5 82.812 (80.793) Epoch: [39][2930/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5834 (1.8012) Prec@1 63.281 (58.962) Prec@5 81.250 (80.795) Epoch: [39][2940/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.1155 (1.8013) Prec@1 53.125 (58.959) Prec@5 75.781 (80.792) Epoch: [39][2950/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8739 (1.8017) Prec@1 59.375 (58.956) Prec@5 78.125 (80.789) Epoch: [39][2960/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7622 (1.8015) Prec@1 57.031 (58.961) Prec@5 83.594 (80.794) Epoch: [39][2970/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6405 (1.8016) Prec@1 60.156 (58.957) Prec@5 84.375 (80.794) Epoch: [39][2980/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9805 (1.8015) Prec@1 50.781 (58.958) Prec@5 80.469 (80.796) Epoch: [39][2990/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0090 (1.8016) Prec@1 53.125 (58.951) Prec@5 74.219 (80.796) Epoch: [39][3000/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.6763 (1.8017) Prec@1 62.500 (58.947) Prec@5 83.594 (80.797) Epoch: [39][3010/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9507 (1.8018) Prec@1 58.594 (58.944) Prec@5 82.031 (80.796) Epoch: [39][3020/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.0261 (1.8019) Prec@1 54.688 (58.941) Prec@5 78.906 (80.797) Epoch: [39][3030/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8036 (1.8020) Prec@1 60.156 (58.944) Prec@5 81.250 (80.796) Epoch: [39][3040/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0991 (1.8022) Prec@1 53.906 (58.937) Prec@5 73.438 (80.791) Epoch: [39][3050/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8871 (1.8021) Prec@1 57.812 (58.940) Prec@5 79.688 (80.792) Epoch: [39][3060/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8258 (1.8023) Prec@1 53.906 (58.935) Prec@5 81.250 (80.790) Epoch: [39][3070/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8714 (1.8026) Prec@1 60.938 (58.933) Prec@5 75.000 (80.784) Epoch: [39][3080/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6604 (1.8027) Prec@1 58.594 (58.927) Prec@5 82.031 (80.785) Epoch: [39][3090/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7389 (1.8026) Prec@1 58.594 (58.931) Prec@5 82.812 (80.789) Epoch: [39][3100/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6343 (1.8024) Prec@1 61.719 (58.937) Prec@5 85.156 (80.791) Epoch: [39][3110/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.3486 (1.8029) Prec@1 57.031 (58.929) Prec@5 72.656 (80.786) Epoch: [39][3120/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7363 (1.8027) Prec@1 60.938 (58.939) Prec@5 80.469 (80.790) Epoch: [39][3130/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.0959 (1.8031) Prec@1 53.906 (58.928) Prec@5 77.344 (80.784) Epoch: [39][3140/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.6664 (1.8034) Prec@1 57.031 (58.919) Prec@5 83.594 (80.782) Epoch: [39][3150/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8941 (1.8037) Prec@1 53.125 (58.913) Prec@5 82.031 (80.782) Epoch: [39][3160/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7208 (1.8034) Prec@1 64.062 (58.916) Prec@5 79.688 (80.786) Epoch: [39][3170/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6236 (1.8037) Prec@1 61.719 (58.911) Prec@5 82.812 (80.779) Epoch: [39][3180/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9208 (1.8039) Prec@1 59.375 (58.907) Prec@5 75.781 (80.778) Epoch: [39][3190/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.4823 (1.8035) Prec@1 64.062 (58.918) Prec@5 84.375 (80.785) Epoch: [39][3200/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6181 (1.8036) Prec@1 64.844 (58.921) Prec@5 84.375 (80.783) Epoch: [39][3210/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7222 (1.8036) Prec@1 60.938 (58.918) Prec@5 84.375 (80.783) Epoch: [39][3220/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.9199 (1.8035) Prec@1 56.250 (58.923) Prec@5 79.688 (80.785) Epoch: [39][3230/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8441 (1.8037) Prec@1 63.281 (58.921) Prec@5 81.250 (80.783) Epoch: [39][3240/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.4662 (1.8039) Prec@1 63.281 (58.918) Prec@5 87.500 (80.783) Epoch: [39][3250/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8617 (1.8042) Prec@1 57.812 (58.911) Prec@5 78.906 (80.778) Epoch: [39][3260/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6717 (1.8042) Prec@1 63.281 (58.907) Prec@5 76.562 (80.772) Epoch: [39][3270/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.1594 (1.8042) Prec@1 57.812 (58.908) Prec@5 75.781 (80.772) Epoch: [39][3280/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8532 (1.8041) Prec@1 60.938 (58.914) Prec@5 79.688 (80.775) Epoch: [39][3290/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9430 (1.8045) Prec@1 58.594 (58.912) Prec@5 79.688 (80.774) Epoch: [39][3300/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.7681 (1.8048) Prec@1 58.594 (58.903) Prec@5 84.375 (80.770) Epoch: [39][3310/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.1453 (1.8048) Prec@1 52.344 (58.905) Prec@5 77.344 (80.771) Epoch: [39][3320/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.7524 (1.8045) Prec@1 59.375 (58.909) Prec@5 80.469 (80.774) Epoch: [39][3330/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7802 (1.8049) Prec@1 60.156 (58.905) Prec@5 80.469 (80.771) Epoch: [39][3340/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.5253 (1.8051) Prec@1 65.625 (58.907) Prec@5 87.500 (80.772) Epoch: [39][3350/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.5902 (1.8050) Prec@1 64.844 (58.908) Prec@5 85.156 (80.773) Epoch: [39][3360/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7708 (1.8052) Prec@1 62.500 (58.910) Prec@5 78.906 (80.770) Epoch: [39][3370/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 1.5813 (1.8051) Prec@1 64.844 (58.910) Prec@5 85.156 (80.771) Epoch: [39][3380/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.5728 (1.8051) Prec@1 63.281 (58.907) Prec@5 84.375 (80.773) Epoch: [39][3390/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6342 (1.8051) Prec@1 60.156 (58.903) Prec@5 83.594 (80.776) Epoch: [39][3400/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8067 (1.8054) Prec@1 60.938 (58.899) Prec@5 77.344 (80.769) Epoch: [39][3410/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8160 (1.8054) Prec@1 58.594 (58.903) Prec@5 79.688 (80.771) Epoch: [39][3420/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.2008 (1.8054) Prec@1 50.781 (58.905) Prec@5 72.656 (80.770) Epoch: [39][3430/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7556 (1.8057) Prec@1 58.594 (58.901) Prec@5 82.031 (80.763) Epoch: [39][3440/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.9335 (1.8056) Prec@1 59.375 (58.904) Prec@5 78.125 (80.766) Epoch: [39][3450/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9567 (1.8056) Prec@1 50.781 (58.904) Prec@5 78.906 (80.768) Epoch: [39][3460/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9014 (1.8059) Prec@1 58.594 (58.903) Prec@5 79.688 (80.768) Epoch: [39][3470/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.1500 (1.8062) Prec@1 56.250 (58.897) Prec@5 75.000 (80.760) Epoch: [39][3480/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8611 (1.8062) Prec@1 52.344 (58.899) Prec@5 78.906 (80.759) Epoch: [39][3490/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8673 (1.8063) Prec@1 60.938 (58.896) Prec@5 82.812 (80.758) Epoch: [39][3500/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.1537 (1.8064) Prec@1 53.906 (58.893) Prec@5 75.000 (80.756) /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: [39][3510/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7389 (1.8064) Prec@1 57.031 (58.895) Prec@5 82.031 (80.759) Epoch: [39][3520/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8774 (1.8067) Prec@1 62.500 (58.893) Prec@5 75.781 (80.754) Epoch: [39][3530/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7732 (1.8067) Prec@1 56.250 (58.890) Prec@5 88.281 (80.755) Epoch: [39][3540/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0760 (1.8067) Prec@1 57.031 (58.888) Prec@5 78.125 (80.754) Epoch: [39][3550/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6881 (1.8066) Prec@1 60.938 (58.892) Prec@5 82.812 (80.756) Epoch: [39][3560/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6040 (1.8064) Prec@1 64.062 (58.893) Prec@5 84.375 (80.759) Epoch: [39][3570/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.5052 (1.8063) Prec@1 58.594 (58.889) Prec@5 88.281 (80.763) Epoch: [39][3580/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9867 (1.8063) Prec@1 56.250 (58.892) Prec@5 78.906 (80.764) Epoch: [39][3590/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8641 (1.8062) Prec@1 57.812 (58.893) Prec@5 82.812 (80.765) Epoch: [39][3600/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.0135 (1.8063) Prec@1 50.000 (58.891) Prec@5 78.906 (80.764) Epoch: [39][3610/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8371 (1.8062) Prec@1 60.938 (58.889) Prec@5 78.906 (80.765) Epoch: [39][3620/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.4866 (1.8061) Prec@1 65.625 (58.895) Prec@5 90.625 (80.770) Epoch: [39][3630/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.1178 (1.8061) Prec@1 50.000 (58.892) Prec@5 74.219 (80.768) Epoch: [39][3640/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6042 (1.8060) Prec@1 60.938 (58.897) Prec@5 82.812 (80.767) Epoch: [39][3650/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7328 (1.8061) Prec@1 58.594 (58.897) Prec@5 80.469 (80.766) Epoch: [39][3660/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.4264 (1.8058) Prec@1 65.625 (58.906) Prec@5 87.500 (80.771) Epoch: [39][3670/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.8164 (1.8056) Prec@1 59.375 (58.907) Prec@5 78.125 (80.772) Epoch: [39][3680/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7876 (1.8053) Prec@1 61.719 (58.911) Prec@5 78.906 (80.775) Epoch: [39][3690/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8654 (1.8055) Prec@1 57.812 (58.909) Prec@5 82.031 (80.771) Epoch: [39][3700/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6671 (1.8053) Prec@1 57.812 (58.911) Prec@5 82.812 (80.774) Epoch: [39][3710/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9713 (1.8055) Prec@1 54.688 (58.904) Prec@5 82.812 (80.773) Epoch: [39][3720/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.5986 (1.8056) Prec@1 62.500 (58.902) Prec@5 87.500 (80.774) Epoch: [39][3730/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7036 (1.8056) Prec@1 64.062 (58.899) Prec@5 81.250 (80.774) Epoch: [39][3740/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6989 (1.8056) Prec@1 61.719 (58.897) Prec@5 82.031 (80.772) Epoch: [39][3750/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7450 (1.8058) Prec@1 57.031 (58.895) Prec@5 84.375 (80.772) Epoch: [39][3760/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8330 (1.8059) Prec@1 57.812 (58.894) Prec@5 82.812 (80.770) Epoch: [39][3770/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7848 (1.8060) Prec@1 61.719 (58.895) Prec@5 78.125 (80.769) Epoch: [39][3780/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8884 (1.8058) Prec@1 53.906 (58.900) Prec@5 83.594 (80.769) Epoch: [39][3790/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9901 (1.8059) Prec@1 60.156 (58.902) Prec@5 81.250 (80.769) Epoch: [39][3800/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7632 (1.8059) Prec@1 63.281 (58.906) Prec@5 80.469 (80.771) Epoch: [39][3810/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.6034 (1.8060) Prec@1 66.406 (58.903) Prec@5 85.938 (80.775) Epoch: [39][3820/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6853 (1.8060) Prec@1 55.469 (58.904) Prec@5 79.688 (80.773) Epoch: [39][3830/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.0014 (1.8060) Prec@1 56.250 (58.905) Prec@5 76.562 (80.773) Epoch: [39][3840/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8955 (1.8061) Prec@1 53.906 (58.900) Prec@5 78.906 (80.771) Epoch: [39][3850/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0923 (1.8062) Prec@1 51.562 (58.899) Prec@5 78.125 (80.769) Epoch: [39][3860/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8223 (1.8062) Prec@1 60.156 (58.896) Prec@5 83.594 (80.770) Epoch: [39][3870/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.4689 (1.8059) Prec@1 68.750 (58.901) Prec@5 85.156 (80.776) Epoch: [39][3880/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8949 (1.8060) Prec@1 60.938 (58.899) Prec@5 77.344 (80.774) Epoch: [39][3890/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6593 (1.8060) Prec@1 57.031 (58.900) Prec@5 82.812 (80.773) Epoch: [39][3900/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8062 (1.8060) Prec@1 56.250 (58.903) Prec@5 83.594 (80.775) Epoch: [39][3910/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6839 (1.8059) Prec@1 55.469 (58.904) Prec@5 82.031 (80.777) Epoch: [39][3920/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.6303 (1.8058) Prec@1 59.375 (58.904) Prec@5 85.156 (80.780) Epoch: [39][3930/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.7045 (1.8056) Prec@1 56.250 (58.908) Prec@5 84.375 (80.784) Epoch: [39][3940/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9503 (1.8056) Prec@1 56.250 (58.906) Prec@5 78.125 (80.783) Epoch: [39][3950/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7399 (1.8056) Prec@1 54.688 (58.910) Prec@5 78.125 (80.782) Epoch: [39][3960/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.1287 (1.8055) Prec@1 53.906 (58.908) Prec@5 74.219 (80.782) Epoch: [39][3970/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8123 (1.8056) Prec@1 53.125 (58.907) Prec@5 80.469 (80.783) Epoch: [39][3980/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.8123 (1.8055) Prec@1 57.812 (58.910) Prec@5 82.031 (80.782) Epoch: [39][3990/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6583 (1.8053) Prec@1 64.844 (58.916) Prec@5 82.031 (80.784) Epoch: [39][4000/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8809 (1.8052) Prec@1 53.125 (58.917) Prec@5 79.688 (80.787) Epoch: [39][4010/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7193 (1.8053) Prec@1 58.594 (58.920) Prec@5 83.594 (80.785) Epoch: [39][4020/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 2.0078 (1.8051) Prec@1 52.344 (58.923) Prec@5 77.344 (80.790) /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][4030/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7899 (1.8050) Prec@1 59.375 (58.927) Prec@5 77.344 (80.792) Epoch: [39][4040/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6494 (1.8048) Prec@1 57.812 (58.930) Prec@5 85.156 (80.794) Epoch: [39][4050/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5981 (1.8048) Prec@1 59.375 (58.931) Prec@5 84.375 (80.794) Epoch: [39][4060/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.0873 (1.8047) Prec@1 49.219 (58.931) Prec@5 76.562 (80.796) Epoch: [39][4070/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.6485 (1.8049) Prec@1 64.062 (58.926) Prec@5 82.031 (80.797) Epoch: [39][4080/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.9067 (1.8050) Prec@1 58.594 (58.924) Prec@5 78.125 (80.797) Epoch: [39][4090/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.0031 (1.8052) Prec@1 60.156 (58.921) Prec@5 74.219 (80.795) Epoch: [39][4100/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.8311 (1.8052) Prec@1 52.344 (58.917) Prec@5 82.031 (80.795) Epoch: [39][4110/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8361 (1.8052) Prec@1 55.469 (58.914) Prec@5 81.250 (80.794) Epoch: [39][4120/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7656 (1.8049) Prec@1 56.250 (58.920) Prec@5 79.688 (80.797) Epoch: [39][4130/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8980 (1.8050) Prec@1 56.250 (58.920) Prec@5 78.125 (80.794) /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][4140/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.4990 (1.8048) Prec@1 62.500 (58.921) Prec@5 86.719 (80.797) Epoch: [39][4150/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8879 (1.8047) Prec@1 56.250 (58.919) Prec@5 77.344 (80.797) Epoch: [39][4160/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.6870 (1.8047) Prec@1 58.594 (58.919) Prec@5 81.250 (80.799) Epoch: [39][4170/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7196 (1.8049) Prec@1 57.812 (58.916) Prec@5 78.906 (80.797) Epoch: [39][4180/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9993 (1.8049) Prec@1 53.906 (58.913) Prec@5 79.688 (80.796) Epoch: [39][4190/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9205 (1.8049) Prec@1 54.688 (58.911) Prec@5 78.125 (80.796) Epoch: [39][4200/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9409 (1.8049) Prec@1 60.156 (58.914) Prec@5 73.438 (80.796) Epoch: [39][4210/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.2164 (1.8051) Prec@1 53.125 (58.909) Prec@5 75.000 (80.791) Epoch: [39][4220/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8506 (1.8052) Prec@1 56.250 (58.907) Prec@5 79.688 (80.790) Epoch: [39][4230/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5392 (1.8053) Prec@1 68.750 (58.907) Prec@5 82.812 (80.789) Epoch: [39][4240/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8427 (1.8054) Prec@1 57.812 (58.904) Prec@5 79.688 (80.787) Epoch: [39][4250/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8920 (1.8055) Prec@1 57.812 (58.901) Prec@5 82.031 (80.790) Epoch: [39][4260/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.0278 (1.8054) Prec@1 56.250 (58.901) Prec@5 75.000 (80.791) Epoch: [39][4270/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8796 (1.8054) Prec@1 60.156 (58.900) Prec@5 81.250 (80.796) Epoch: [39][4280/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5254 (1.8054) Prec@1 60.156 (58.897) Prec@5 87.500 (80.799) Epoch: [39][4290/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8699 (1.8053) Prec@1 57.812 (58.901) Prec@5 77.344 (80.798) Epoch: [39][4300/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9783 (1.8054) Prec@1 53.906 (58.901) Prec@5 80.469 (80.795) Epoch: [39][4310/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.1179 (1.8053) Prec@1 50.781 (58.899) Prec@5 76.562 (80.798) Epoch: [39][4320/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.4363 (1.8051) Prec@1 71.094 (58.901) Prec@5 88.281 (80.802) Epoch: [39][4330/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.2231 (1.8052) Prec@1 53.906 (58.899) Prec@5 72.656 (80.801) Epoch: [39][4340/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.9069 (1.8052) Prec@1 55.469 (58.898) Prec@5 75.000 (80.801) Epoch: [39][4350/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.1020 (1.8051) Prec@1 55.469 (58.899) Prec@5 75.781 (80.802) Epoch: [39][4360/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7457 (1.8052) Prec@1 60.156 (58.899) Prec@5 82.031 (80.801) Epoch: [39][4370/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8214 (1.8053) Prec@1 59.375 (58.895) Prec@5 79.688 (80.799) Epoch: [39][4380/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6075 (1.8054) Prec@1 66.406 (58.894) Prec@5 86.719 (80.800) Epoch: [39][4390/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9077 (1.8053) Prec@1 58.594 (58.896) Prec@5 79.688 (80.800) Epoch: [39][4400/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.2085 (1.8054) Prec@1 53.125 (58.896) Prec@5 73.438 (80.799) Epoch: [39][4410/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6664 (1.8054) Prec@1 62.500 (58.894) Prec@5 82.812 (80.798) Epoch: [39][4420/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.7446 (1.8052) Prec@1 63.281 (58.899) Prec@5 83.594 (80.801) Epoch: [39][4430/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7407 (1.8052) Prec@1 53.906 (58.895) Prec@5 82.812 (80.801) Epoch: [39][4440/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.2439 (1.8055) Prec@1 50.781 (58.891) Prec@5 75.781 (80.799) Epoch: [39][4450/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8647 (1.8053) Prec@1 56.250 (58.892) Prec@5 82.812 (80.800) Epoch: [39][4460/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.2328 (1.8055) Prec@1 49.219 (58.883) Prec@5 73.438 (80.795) Epoch: [39][4470/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9944 (1.8056) Prec@1 57.812 (58.881) Prec@5 75.781 (80.792) Epoch: [39][4480/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9524 (1.8061) Prec@1 53.906 (58.874) Prec@5 78.906 (80.787) Epoch: [39][4490/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0432 (1.8060) Prec@1 57.031 (58.879) Prec@5 77.344 (80.789) Epoch: [39][4500/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8800 (1.8059) Prec@1 59.375 (58.881) Prec@5 79.688 (80.794) Epoch: [39][4510/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.6695 (1.8060) Prec@1 67.188 (58.880) Prec@5 83.594 (80.793) Epoch: [39][4520/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0024 (1.8061) Prec@1 57.031 (58.878) Prec@5 78.906 (80.791) Epoch: [39][4530/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.4791 (1.8060) Prec@1 64.062 (58.881) Prec@5 85.156 (80.790) Epoch: [39][4540/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7118 (1.8057) Prec@1 60.938 (58.885) Prec@5 83.594 (80.798) Epoch: [39][4550/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0992 (1.8059) Prec@1 57.812 (58.881) Prec@5 77.344 (80.797) Epoch: [39][4560/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8782 (1.8058) Prec@1 56.250 (58.882) Prec@5 78.906 (80.797) Epoch: [39][4570/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.9727 (1.8057) Prec@1 53.906 (58.885) Prec@5 76.562 (80.796) Epoch: [39][4580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5418 (1.8059) Prec@1 71.094 (58.884) Prec@5 85.938 (80.793) Epoch: [39][4590/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9863 (1.8059) Prec@1 57.031 (58.886) Prec@5 79.688 (80.793) Epoch: [39][4600/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7477 (1.8058) Prec@1 67.188 (58.890) Prec@5 81.250 (80.793) Epoch: [39][4610/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9250 (1.8060) Prec@1 60.156 (58.889) Prec@5 78.125 (80.789) Epoch: [39][4620/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8312 (1.8060) Prec@1 57.812 (58.886) Prec@5 82.031 (80.790) Epoch: [39][4630/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7551 (1.8059) Prec@1 61.719 (58.888) Prec@5 79.688 (80.788) Epoch: [39][4640/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8319 (1.8058) Prec@1 58.594 (58.889) Prec@5 80.469 (80.790) Epoch: [39][4650/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6738 (1.8060) Prec@1 60.156 (58.884) Prec@5 79.688 (80.787) Epoch: [39][4660/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6786 (1.8061) Prec@1 62.500 (58.882) Prec@5 84.375 (80.784) Epoch: [39][4670/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5291 (1.8061) Prec@1 62.500 (58.885) Prec@5 85.156 (80.786) Epoch: [39][4680/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9586 (1.8060) Prec@1 53.125 (58.883) Prec@5 75.781 (80.786) Epoch: [39][4690/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.4547 (1.8062) Prec@1 64.844 (58.878) Prec@5 84.375 (80.782) Epoch: [39][4700/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.2106 (1.8065) Prec@1 56.250 (58.876) Prec@5 74.219 (80.779) Epoch: [39][4710/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.0107 (1.8064) Prec@1 52.344 (58.876) Prec@5 76.562 (80.783) Epoch: [39][4720/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.7656 (1.8065) Prec@1 60.156 (58.873) Prec@5 80.469 (80.779) Epoch: [39][4730/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6982 (1.8067) Prec@1 58.594 (58.869) Prec@5 83.594 (80.777) Epoch: [39][4740/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9001 (1.8066) Prec@1 60.156 (58.870) Prec@5 82.031 (80.780) Epoch: [39][4750/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.0019 (1.8065) Prec@1 51.562 (58.870) Prec@5 79.688 (80.779) Epoch: [39][4760/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8426 (1.8068) Prec@1 58.594 (58.862) Prec@5 79.688 (80.776) Epoch: [39][4770/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7413 (1.8070) Prec@1 58.594 (58.857) Prec@5 79.688 (80.773) Epoch: [39][4780/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6815 (1.8071) Prec@1 60.938 (58.853) Prec@5 84.375 (80.774) Epoch: [39][4790/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8307 (1.8072) Prec@1 59.375 (58.850) Prec@5 80.469 (80.777) Epoch: [39][4800/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7805 (1.8072) Prec@1 53.906 (58.847) Prec@5 81.250 (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][4810/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8091 (1.8071) Prec@1 56.250 (58.848) Prec@5 82.031 (80.775) Epoch: [39][4820/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8758 (1.8072) Prec@1 59.375 (58.845) Prec@5 78.906 (80.774) Epoch: [39][4830/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6684 (1.8073) Prec@1 61.719 (58.845) Prec@5 83.594 (80.772) Epoch: [39][4840/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9014 (1.8073) Prec@1 57.812 (58.845) Prec@5 83.594 (80.772) Epoch: [39][4850/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7562 (1.8074) Prec@1 60.938 (58.846) Prec@5 80.469 (80.771) Epoch: [39][4860/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9244 (1.8074) Prec@1 54.688 (58.846) Prec@5 78.906 (80.771) Epoch: [39][4870/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8170 (1.8073) Prec@1 59.375 (58.846) Prec@5 84.375 (80.773) Epoch: [39][4880/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6440 (1.8073) Prec@1 62.500 (58.847) Prec@5 80.469 (80.772) Epoch: [39][4890/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7724 (1.8075) Prec@1 57.031 (58.842) Prec@5 83.594 (80.771) Epoch: [39][4900/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6975 (1.8077) Prec@1 57.812 (58.841) Prec@5 80.469 (80.767) Epoch: [39][4910/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6847 (1.8075) Prec@1 60.156 (58.840) Prec@5 83.594 (80.769) Epoch: [39][4920/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.5631 (1.8075) Prec@1 64.062 (58.840) Prec@5 82.812 (80.771) Epoch: [39][4930/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0071 (1.8074) Prec@1 60.156 (58.840) Prec@5 79.688 (80.772) Epoch: [39][4940/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5621 (1.8072) Prec@1 60.156 (58.842) Prec@5 85.938 (80.776) Epoch: [39][4950/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9931 (1.8071) Prec@1 57.031 (58.845) Prec@5 77.344 (80.778) Epoch: [39][4960/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.7851 (1.8069) Prec@1 56.250 (58.848) Prec@5 81.250 (80.779) Epoch: [39][4970/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0217 (1.8069) Prec@1 57.031 (58.846) Prec@5 75.781 (80.778) Epoch: [39][4980/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7615 (1.8069) Prec@1 58.594 (58.844) Prec@5 82.812 (80.779) Epoch: [39][4990/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9337 (1.8069) Prec@1 53.906 (58.842) Prec@5 78.906 (80.780) Epoch: [39][5000/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5806 (1.8067) Prec@1 62.500 (58.849) Prec@5 81.250 (80.781) Epoch: [39][5010/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7908 (1.8066) Prec@1 50.781 (58.847) Prec@5 84.375 (80.782) Epoch: [39][5020/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8584 (1.8066) Prec@1 56.250 (58.848) Prec@5 80.469 (80.781) Epoch: [39][5030/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7153 (1.8067) Prec@1 54.688 (58.841) Prec@5 83.594 (80.779) Epoch: [39][5040/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7358 (1.8066) Prec@1 62.500 (58.844) Prec@5 82.812 (80.782) Epoch: [39][5050/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5051 (1.8064) Prec@1 62.500 (58.847) Prec@5 86.719 (80.784) Epoch: [39][5060/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8772 (1.8065) Prec@1 58.594 (58.847) Prec@5 78.125 (80.782) Epoch: [39][5070/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9524 (1.8064) Prec@1 55.469 (58.847) Prec@5 78.906 (80.783) Epoch: [39][5080/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1478 (1.8065) Prec@1 50.000 (58.846) Prec@5 76.562 (80.781) Epoch: [39][5090/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.1426 (1.8067) Prec@1 57.031 (58.842) Prec@5 78.906 (80.778) Epoch: [39][5100/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.3702 (1.8065) Prec@1 67.969 (58.845) Prec@5 88.281 (80.781) Epoch: [39][5110/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8521 (1.8064) Prec@1 50.781 (58.845) Prec@5 76.562 (80.783) Epoch: [39][5120/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7348 (1.8064) Prec@1 60.156 (58.844) Prec@5 79.688 (80.785) Epoch: [39][5130/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9663 (1.8066) Prec@1 58.594 (58.842) Prec@5 77.344 (80.782) Epoch: [39][5140/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9600 (1.8067) Prec@1 57.031 (58.839) Prec@5 77.344 (80.780) Epoch: [39][5150/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7608 (1.8069) Prec@1 57.812 (58.836) Prec@5 80.469 (80.777) Epoch: [39][5160/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9950 (1.8068) Prec@1 56.250 (58.837) Prec@5 78.125 (80.779) Epoch: [39][5170/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7463 (1.8068) Prec@1 60.938 (58.837) Prec@5 85.156 (80.781) Epoch: [39][5180/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8011 (1.8067) Prec@1 55.469 (58.837) Prec@5 79.688 (80.782) Epoch: [39][5190/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0047 (1.8068) Prec@1 51.562 (58.832) Prec@5 82.031 (80.780) Epoch: [39][5200/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0248 (1.8069) Prec@1 55.469 (58.833) Prec@5 76.562 (80.779) Epoch: [39][5210/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9770 (1.8070) Prec@1 60.938 (58.835) Prec@5 79.688 (80.778) Epoch: [39][5220/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9852 (1.8072) Prec@1 55.469 (58.832) Prec@5 78.125 (80.775) Epoch: [39][5230/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6465 (1.8072) Prec@1 65.625 (58.832) Prec@5 86.719 (80.777) Epoch: [39][5240/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5668 (1.8073) Prec@1 65.625 (58.835) Prec@5 83.594 (80.775) Epoch: [39][5250/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7448 (1.8073) Prec@1 56.250 (58.831) Prec@5 79.688 (80.773) Epoch: [39][5260/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9294 (1.8073) Prec@1 59.375 (58.834) Prec@5 78.906 (80.776) Epoch: [39][5270/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7672 (1.8074) Prec@1 56.250 (58.832) Prec@5 80.469 (80.773) Epoch: [39][5280/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8957 (1.8074) Prec@1 57.812 (58.834) Prec@5 84.375 (80.772) Epoch: [39][5290/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8057 (1.8076) Prec@1 56.250 (58.832) Prec@5 82.812 (80.770) Epoch: [39][5300/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5658 (1.8076) Prec@1 60.156 (58.831) Prec@5 82.031 (80.770) Epoch: [39][5310/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8444 (1.8077) Prec@1 60.156 (58.828) Prec@5 80.469 (80.768) Epoch: [39][5320/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7594 (1.8080) Prec@1 57.812 (58.825) Prec@5 82.031 (80.765) Epoch: [39][5330/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.6737 (1.8080) Prec@1 60.156 (58.825) Prec@5 85.938 (80.768) Epoch: [39][5340/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7001 (1.8079) Prec@1 62.500 (58.826) Prec@5 82.812 (80.769) Epoch: [39][5350/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7582 (1.8077) Prec@1 63.281 (58.828) Prec@5 83.594 (80.771) Epoch: [39][5360/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8783 (1.8077) Prec@1 60.156 (58.828) Prec@5 82.812 (80.772) Epoch: [39][5370/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.2263 (1.8078) Prec@1 51.562 (58.826) Prec@5 74.219 (80.769) Epoch: [39][5380/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.5428 (1.8078) Prec@1 64.844 (58.827) Prec@5 85.156 (80.769) Epoch: [39][5390/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8607 (1.8079) Prec@1 58.594 (58.825) Prec@5 81.250 (80.764) Epoch: [39][5400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8458 (1.8079) Prec@1 60.938 (58.822) Prec@5 78.125 (80.763) Epoch: [39][5410/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0890 (1.8078) Prec@1 55.469 (58.824) Prec@5 73.438 (80.764) Epoch: [39][5420/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9222 (1.8079) Prec@1 55.469 (58.818) Prec@5 76.562 (80.766) Epoch: [39][5430/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9308 (1.8082) Prec@1 57.812 (58.816) Prec@5 81.250 (80.761) Epoch: [39][5440/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.8047 (1.8081) Prec@1 58.594 (58.819) Prec@5 80.469 (80.762) Epoch: [39][5450/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7157 (1.8081) Prec@1 56.250 (58.817) Prec@5 81.250 (80.763) Epoch: [39][5460/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5972 (1.8080) Prec@1 64.062 (58.819) Prec@5 82.031 (80.762) Epoch: [39][5470/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9980 (1.8081) Prec@1 57.812 (58.821) Prec@5 79.688 (80.761) Epoch: [39][5480/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8357 (1.8082) Prec@1 59.375 (58.819) Prec@5 75.781 (80.757) Epoch: [39][5490/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8651 (1.8080) Prec@1 59.375 (58.824) Prec@5 76.562 (80.757) Epoch: [39][5500/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0748 (1.8083) Prec@1 56.250 (58.822) Prec@5 75.000 (80.753) Epoch: [39][5510/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.4867 (1.8083) Prec@1 64.062 (58.821) Prec@5 85.938 (80.754) Epoch: [39][5520/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.2326 (1.8082) Prec@1 52.344 (58.824) Prec@5 74.219 (80.755) Epoch: [39][5530/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9090 (1.8082) Prec@1 57.812 (58.822) Prec@5 78.125 (80.758) Epoch: [39][5540/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6278 (1.8082) Prec@1 60.938 (58.824) Prec@5 81.250 (80.758) Epoch: [39][5550/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7068 (1.8083) Prec@1 57.812 (58.822) Prec@5 85.156 (80.756) Epoch: [39][5560/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9377 (1.8083) Prec@1 57.812 (58.823) Prec@5 77.344 (80.756) Epoch: [39][5570/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6158 (1.8082) Prec@1 63.281 (58.820) Prec@5 85.156 (80.757) Epoch: [39][5580/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0517 (1.8084) Prec@1 56.250 (58.816) Prec@5 77.344 (80.755) /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][5590/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5707 (1.8083) Prec@1 64.062 (58.818) Prec@5 85.938 (80.757) Epoch: [39][5600/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6122 (1.8083) Prec@1 64.844 (58.818) Prec@5 85.938 (80.757) Epoch: [39][5610/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8684 (1.8083) Prec@1 51.562 (58.814) Prec@5 81.250 (80.757) Epoch: [39][5620/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6352 (1.8084) Prec@1 62.500 (58.811) Prec@5 82.812 (80.756) Epoch: [39][5630/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.5460 (1.8085) Prec@1 63.281 (58.808) Prec@5 82.812 (80.756) Epoch: [39][5640/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9095 (1.8086) Prec@1 59.375 (58.809) Prec@5 81.250 (80.756) Epoch: [39][5650/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6970 (1.8086) Prec@1 63.281 (58.809) Prec@5 82.031 (80.753) Epoch: [39][5660/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1392 (1.8087) Prec@1 53.125 (58.807) Prec@5 72.656 (80.750) Epoch: [39][5670/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.2025 (1.8087) Prec@1 48.438 (58.805) Prec@5 76.562 (80.750) Epoch: [39][5680/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7714 (1.8090) Prec@1 57.812 (58.803) Prec@5 81.250 (80.747) Epoch: [39][5690/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.3393 (1.8088) Prec@1 68.750 (58.806) Prec@5 91.406 (80.752) Epoch: [39][5700/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8689 (1.8088) Prec@1 64.844 (58.808) Prec@5 82.031 (80.751) Epoch: [39][5710/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1791 (1.8088) Prec@1 48.438 (58.809) Prec@5 76.562 (80.753) Epoch: [39][5720/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8902 (1.8088) Prec@1 53.125 (58.808) Prec@5 75.781 (80.754) Epoch: [39][5730/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8239 (1.8086) Prec@1 64.062 (58.812) Prec@5 82.031 (80.755) Epoch: [39][5740/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9400 (1.8087) Prec@1 54.688 (58.811) Prec@5 78.125 (80.757) Epoch: [39][5750/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0550 (1.8087) Prec@1 51.562 (58.809) Prec@5 75.781 (80.755) Epoch: [39][5760/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9390 (1.8089) Prec@1 55.469 (58.805) Prec@5 82.031 (80.750) Epoch: [39][5770/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.5330 (1.8089) Prec@1 63.281 (58.806) Prec@5 82.812 (80.751) Epoch: [39][5780/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.3673 (1.8091) Prec@1 46.094 (58.800) Prec@5 71.875 (80.746) Epoch: [39][5790/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5241 (1.8090) Prec@1 67.188 (58.801) Prec@5 85.156 (80.747) Epoch: [39][5800/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6375 (1.8090) Prec@1 64.844 (58.803) Prec@5 83.594 (80.746) Epoch: [39][5810/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8022 (1.8090) Prec@1 55.469 (58.802) Prec@5 79.688 (80.745) Epoch: [39][5820/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9885 (1.8090) Prec@1 56.250 (58.801) Prec@5 80.469 (80.745) Epoch: [39][5830/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6142 (1.8090) Prec@1 64.844 (58.798) Prec@5 82.031 (80.743) Epoch: [39][5840/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8535 (1.8090) Prec@1 57.812 (58.800) Prec@5 78.125 (80.746) Epoch: [39][5850/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9288 (1.8090) Prec@1 60.156 (58.802) Prec@5 78.125 (80.747) Epoch: [39][5860/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7951 (1.8091) Prec@1 57.812 (58.801) Prec@5 78.125 (80.746) Epoch: [39][5870/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9672 (1.8090) Prec@1 57.031 (58.802) Prec@5 72.656 (80.744) Epoch: [39][5880/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5152 (1.8091) Prec@1 68.750 (58.804) Prec@5 84.375 (80.743) Epoch: [39][5890/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1621 (1.8093) Prec@1 50.000 (58.804) Prec@5 77.344 (80.740) Epoch: [39][5900/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8616 (1.8093) Prec@1 60.938 (58.801) Prec@5 81.250 (80.738) Epoch: [39][5910/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5912 (1.8094) Prec@1 64.844 (58.803) Prec@5 83.594 (80.738) Epoch: [39][5920/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8830 (1.8092) Prec@1 60.156 (58.807) Prec@5 81.250 (80.742) Epoch: [39][5930/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9310 (1.8092) Prec@1 56.250 (58.809) Prec@5 77.344 (80.743) Epoch: [39][5940/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8732 (1.8092) Prec@1 55.469 (58.805) Prec@5 79.688 (80.743) Epoch: [39][5950/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7085 (1.8094) Prec@1 60.938 (58.803) Prec@5 79.688 (80.741) Epoch: [39][5960/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7260 (1.8092) Prec@1 58.594 (58.805) Prec@5 81.250 (80.743) Epoch: [39][5970/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9633 (1.8093) Prec@1 56.250 (58.804) Prec@5 77.344 (80.740) Epoch: [39][5980/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8239 (1.8092) Prec@1 56.250 (58.807) Prec@5 78.906 (80.743) Epoch: [39][5990/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9072 (1.8093) Prec@1 58.594 (58.804) Prec@5 79.688 (80.741) Epoch: [39][6000/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8596 (1.8094) Prec@1 58.594 (58.803) Prec@5 81.250 (80.740) Epoch: [39][6010/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8899 (1.8095) Prec@1 56.250 (58.801) Prec@5 77.344 (80.740) Epoch: [39][6020/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9073 (1.8094) Prec@1 61.719 (58.802) Prec@5 78.125 (80.740) Epoch: [39][6030/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0580 (1.8096) Prec@1 55.469 (58.798) Prec@5 75.000 (80.738) Epoch: [39][6040/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7896 (1.8096) Prec@1 62.500 (58.797) Prec@5 82.031 (80.737) Epoch: [39][6050/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.1067 (1.8096) Prec@1 52.344 (58.797) Prec@5 80.469 (80.738) Epoch: [39][6060/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8322 (1.8095) Prec@1 54.688 (58.795) Prec@5 77.344 (80.736) Epoch: [39][6070/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7333 (1.8097) Prec@1 55.469 (58.791) Prec@5 82.812 (80.734) Epoch: [39][6080/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5661 (1.8097) Prec@1 63.281 (58.791) Prec@5 85.156 (80.734) Epoch: [39][6090/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9300 (1.8097) Prec@1 56.250 (58.791) Prec@5 78.125 (80.732) Epoch: [39][6100/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9045 (1.8098) Prec@1 57.031 (58.790) Prec@5 80.469 (80.732) Epoch: [39][6110/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6541 (1.8099) Prec@1 59.375 (58.786) Prec@5 82.812 (80.731) Epoch: [39][6120/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0792 (1.8099) Prec@1 50.781 (58.784) Prec@5 76.562 (80.729) Epoch: [39][6130/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9990 (1.8100) Prec@1 58.594 (58.783) Prec@5 78.906 (80.728) Epoch: [39][6140/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.4492 (1.8098) Prec@1 60.156 (58.785) Prec@5 87.500 (80.733) Epoch: [39][6150/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.1624 (1.8099) Prec@1 50.781 (58.785) Prec@5 75.781 (80.732) Epoch: [39][6160/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1570 (1.8098) Prec@1 53.125 (58.789) Prec@5 75.781 (80.735) Epoch: [39][6170/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.4711 (1.8098) Prec@1 66.406 (58.790) Prec@5 82.812 (80.734) Epoch: [39][6180/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0417 (1.8099) Prec@1 55.469 (58.787) Prec@5 75.000 (80.732) Epoch: [39][6190/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.3950 (1.8098) Prec@1 62.500 (58.788) Prec@5 86.719 (80.733) Epoch: [39][6200/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7436 (1.8100) Prec@1 62.500 (58.787) Prec@5 80.469 (80.730) Epoch: [39][6210/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8188 (1.8100) Prec@1 60.938 (58.790) Prec@5 82.031 (80.730) Epoch: [39][6220/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.0394 (1.8099) Prec@1 55.469 (58.789) Prec@5 77.344 (80.730) Epoch: [39][6230/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6414 (1.8100) Prec@1 64.844 (58.786) Prec@5 82.031 (80.728) Epoch: [39][6240/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8802 (1.8101) Prec@1 57.031 (58.783) Prec@5 80.469 (80.728) Epoch: [39][6250/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7953 (1.8102) Prec@1 61.719 (58.784) Prec@5 82.031 (80.727) Epoch: [39][6260/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9686 (1.8103) Prec@1 60.156 (58.784) Prec@5 77.344 (80.725) Epoch: [39][6270/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.4853 (1.8102) Prec@1 71.094 (58.787) Prec@5 85.938 (80.727) Epoch: [39][6280/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.4191 (1.8100) Prec@1 69.531 (58.789) Prec@5 84.375 (80.728) /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][6290/10010] Time 0.346 (0.331) Data 0.003 (0.001) Loss 1.8359 (1.8101) Prec@1 56.250 (58.786) Prec@5 82.812 (80.727) Epoch: [39][6300/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6426 (1.8100) Prec@1 62.500 (58.790) Prec@5 82.031 (80.727) Epoch: [39][6310/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9819 (1.8101) Prec@1 57.031 (58.789) Prec@5 80.469 (80.726) Epoch: [39][6320/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8321 (1.8100) Prec@1 60.938 (58.790) Prec@5 78.906 (80.727) Epoch: [39][6330/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6081 (1.8100) Prec@1 67.188 (58.792) Prec@5 84.375 (80.728) Epoch: [39][6340/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8574 (1.8101) Prec@1 54.688 (58.790) Prec@5 78.906 (80.730) Epoch: [39][6350/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8343 (1.8100) Prec@1 54.688 (58.791) Prec@5 79.688 (80.731) Epoch: [39][6360/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8395 (1.8101) Prec@1 53.906 (58.789) Prec@5 79.688 (80.730) Epoch: [39][6370/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7764 (1.8100) Prec@1 58.594 (58.790) Prec@5 81.250 (80.730) Epoch: [39][6380/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7677 (1.8100) Prec@1 64.062 (58.790) Prec@5 78.125 (80.729) Epoch: [39][6390/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9466 (1.8102) Prec@1 55.469 (58.786) Prec@5 78.125 (80.724) Epoch: [39][6400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6788 (1.8104) Prec@1 61.719 (58.785) Prec@5 85.938 (80.724) Epoch: [39][6410/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8721 (1.8103) Prec@1 53.906 (58.787) Prec@5 78.125 (80.725) Epoch: [39][6420/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7089 (1.8103) Prec@1 60.156 (58.788) Prec@5 84.375 (80.726) Epoch: [39][6430/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6174 (1.8103) Prec@1 59.375 (58.785) Prec@5 86.719 (80.726) Epoch: [39][6440/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8379 (1.8103) Prec@1 56.250 (58.785) Prec@5 82.031 (80.727) Epoch: [39][6450/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7004 (1.8102) Prec@1 62.500 (58.788) Prec@5 83.594 (80.728) Epoch: [39][6460/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.1907 (1.8104) Prec@1 52.344 (58.786) Prec@5 76.562 (80.725) Epoch: [39][6470/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6060 (1.8104) Prec@1 64.844 (58.787) Prec@5 80.469 (80.727) Epoch: [39][6480/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9323 (1.8104) Prec@1 50.000 (58.786) Prec@5 78.906 (80.727) Epoch: [39][6490/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6590 (1.8104) Prec@1 57.031 (58.785) Prec@5 85.156 (80.728) Epoch: [39][6500/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6853 (1.8105) Prec@1 55.469 (58.780) Prec@5 83.594 (80.727) Epoch: [39][6510/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7134 (1.8105) Prec@1 58.594 (58.779) Prec@5 82.812 (80.727) Epoch: [39][6520/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6260 (1.8106) Prec@1 58.594 (58.779) Prec@5 79.688 (80.727) Epoch: [39][6530/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7628 (1.8104) Prec@1 55.469 (58.781) Prec@5 83.594 (80.728) Epoch: [39][6540/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9276 (1.8104) Prec@1 57.031 (58.782) Prec@5 76.562 (80.729) Epoch: [39][6550/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9968 (1.8104) Prec@1 57.031 (58.782) Prec@5 75.781 (80.729) Epoch: [39][6560/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9140 (1.8104) Prec@1 58.594 (58.779) Prec@5 75.781 (80.725) Epoch: [39][6570/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6638 (1.8104) Prec@1 65.625 (58.778) Prec@5 84.375 (80.726) Epoch: [39][6580/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.5484 (1.8102) Prec@1 64.844 (58.782) Prec@5 83.594 (80.728) Epoch: [39][6590/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8035 (1.8102) Prec@1 62.500 (58.782) Prec@5 82.812 (80.728) Epoch: [39][6600/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9030 (1.8102) Prec@1 54.688 (58.781) Prec@5 78.125 (80.728) Epoch: [39][6610/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0450 (1.8103) Prec@1 54.688 (58.780) Prec@5 74.219 (80.726) Epoch: [39][6620/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7309 (1.8101) Prec@1 60.156 (58.783) Prec@5 83.594 (80.730) Epoch: [39][6630/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6146 (1.8101) Prec@1 57.812 (58.784) Prec@5 86.719 (80.729) Epoch: [39][6640/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9784 (1.8099) Prec@1 54.688 (58.786) Prec@5 77.344 (80.731) Epoch: [39][6650/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6643 (1.8099) Prec@1 58.594 (58.784) Prec@5 82.031 (80.732) Epoch: [39][6660/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7591 (1.8099) Prec@1 60.156 (58.785) Prec@5 83.594 (80.732) Epoch: [39][6670/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7342 (1.8099) Prec@1 66.406 (58.786) Prec@5 83.594 (80.732) Epoch: [39][6680/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0901 (1.8100) Prec@1 48.438 (58.785) Prec@5 74.219 (80.732) Epoch: [39][6690/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9200 (1.8101) Prec@1 55.469 (58.784) Prec@5 79.688 (80.730) Epoch: [39][6700/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8243 (1.8102) Prec@1 57.031 (58.781) Prec@5 82.031 (80.728) Epoch: [39][6710/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8048 (1.8104) Prec@1 61.719 (58.778) Prec@5 82.031 (80.724) Epoch: [39][6720/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.3162 (1.8104) Prec@1 50.781 (58.778) Prec@5 68.750 (80.722) Epoch: [39][6730/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9242 (1.8104) Prec@1 53.906 (58.778) Prec@5 79.688 (80.723) Epoch: [39][6740/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9367 (1.8106) Prec@1 57.031 (58.775) Prec@5 80.469 (80.723) Epoch: [39][6750/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7554 (1.8106) Prec@1 57.812 (58.774) Prec@5 82.031 (80.722) Epoch: [39][6760/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8196 (1.8105) Prec@1 58.594 (58.775) Prec@5 83.594 (80.725) Epoch: [39][6770/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0047 (1.8105) Prec@1 53.906 (58.775) Prec@5 79.688 (80.725) Epoch: [39][6780/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7097 (1.8106) Prec@1 60.938 (58.776) Prec@5 83.594 (80.723) Epoch: [39][6790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5862 (1.8107) Prec@1 63.281 (58.775) Prec@5 85.156 (80.722) Epoch: [39][6800/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6361 (1.8107) Prec@1 59.375 (58.774) Prec@5 84.375 (80.722) Epoch: [39][6810/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7536 (1.8106) Prec@1 57.031 (58.773) Prec@5 79.688 (80.722) Epoch: [39][6820/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5466 (1.8107) Prec@1 67.969 (58.774) Prec@5 84.375 (80.721) Epoch: [39][6830/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9075 (1.8105) Prec@1 59.375 (58.777) Prec@5 83.594 (80.724) Epoch: [39][6840/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8622 (1.8106) Prec@1 61.719 (58.777) Prec@5 78.906 (80.723) Epoch: [39][6850/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.1029 (1.8107) Prec@1 52.344 (58.774) Prec@5 78.125 (80.722) Epoch: [39][6860/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9886 (1.8107) Prec@1 55.469 (58.774) Prec@5 79.688 (80.722) Epoch: [39][6870/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9359 (1.8107) Prec@1 56.250 (58.774) Prec@5 82.812 (80.724) Epoch: [39][6880/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9036 (1.8108) Prec@1 59.375 (58.773) Prec@5 78.906 (80.723) Epoch: [39][6890/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1874 (1.8106) Prec@1 53.125 (58.775) Prec@5 71.094 (80.725) Epoch: [39][6900/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7650 (1.8105) Prec@1 55.469 (58.779) Prec@5 82.031 (80.726) Epoch: [39][6910/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9016 (1.8105) Prec@1 57.812 (58.778) Prec@5 77.344 (80.726) Epoch: [39][6920/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8118 (1.8107) Prec@1 63.281 (58.777) Prec@5 80.469 (80.723) Epoch: [39][6930/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7001 (1.8109) Prec@1 58.594 (58.776) Prec@5 82.812 (80.719) Epoch: [39][6940/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9703 (1.8108) Prec@1 59.375 (58.776) Prec@5 75.781 (80.721) Epoch: [39][6950/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8104 (1.8108) Prec@1 59.375 (58.775) Prec@5 79.688 (80.721) Epoch: [39][6960/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6840 (1.8108) Prec@1 63.281 (58.776) Prec@5 83.594 (80.721) Epoch: [39][6970/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0070 (1.8108) Prec@1 51.562 (58.779) Prec@5 79.688 (80.723) Epoch: [39][6980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7307 (1.8108) Prec@1 59.375 (58.780) Prec@5 84.375 (80.721) Epoch: [39][6990/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7406 (1.8107) Prec@1 64.844 (58.781) Prec@5 83.594 (80.723) Epoch: [39][7000/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8098 (1.8108) Prec@1 58.594 (58.782) Prec@5 85.938 (80.720) Epoch: [39][7010/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8514 (1.8107) Prec@1 60.156 (58.786) Prec@5 78.125 (80.721) Epoch: [39][7020/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8196 (1.8109) Prec@1 56.250 (58.783) Prec@5 81.250 (80.720) Epoch: [39][7030/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6821 (1.8109) Prec@1 60.156 (58.782) Prec@5 84.375 (80.719) Epoch: [39][7040/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9587 (1.8110) Prec@1 56.250 (58.780) Prec@5 79.688 (80.718) Epoch: [39][7050/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5822 (1.8111) Prec@1 64.844 (58.779) Prec@5 84.375 (80.716) Epoch: [39][7060/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9698 (1.8111) Prec@1 52.344 (58.779) Prec@5 78.906 (80.716) Epoch: [39][7070/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7262 (1.8111) Prec@1 61.719 (58.779) Prec@5 82.812 (80.716) Epoch: [39][7080/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6078 (1.8111) Prec@1 64.062 (58.781) Prec@5 81.250 (80.716) Epoch: [39][7090/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7650 (1.8112) Prec@1 55.469 (58.780) Prec@5 81.250 (80.715) Epoch: [39][7100/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0536 (1.8111) Prec@1 55.469 (58.783) Prec@5 78.125 (80.718) Epoch: [39][7110/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9974 (1.8111) Prec@1 55.469 (58.780) Prec@5 78.906 (80.716) Epoch: [39][7120/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8181 (1.8111) Prec@1 54.688 (58.776) Prec@5 82.812 (80.717) Epoch: [39][7130/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9863 (1.8111) Prec@1 59.375 (58.779) Prec@5 78.906 (80.718) Epoch: [39][7140/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6812 (1.8111) Prec@1 60.938 (58.780) Prec@5 82.031 (80.719) Epoch: [39][7150/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8218 (1.8110) Prec@1 62.500 (58.781) Prec@5 82.031 (80.719) Epoch: [39][7160/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6927 (1.8111) Prec@1 60.156 (58.781) Prec@5 84.375 (80.717) Epoch: [39][7170/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 1.7293 (1.8113) Prec@1 59.375 (58.779) Prec@5 85.938 (80.716) Epoch: [39][7180/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7828 (1.8114) Prec@1 57.812 (58.777) Prec@5 80.469 (80.716) Epoch: [39][7190/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7653 (1.8116) Prec@1 59.375 (58.772) Prec@5 85.156 (80.714) Epoch: [39][7200/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7968 (1.8117) Prec@1 59.375 (58.769) Prec@5 79.688 (80.713) Epoch: [39][7210/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9831 (1.8117) Prec@1 56.250 (58.769) Prec@5 79.688 (80.712) Epoch: [39][7220/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.4632 (1.8116) Prec@1 65.625 (58.772) Prec@5 83.594 (80.712) Epoch: [39][7230/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0532 (1.8117) Prec@1 57.812 (58.771) Prec@5 78.906 (80.711) Epoch: [39][7240/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1942 (1.8119) Prec@1 53.125 (58.768) Prec@5 72.656 (80.708) Epoch: [39][7250/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6656 (1.8118) Prec@1 59.375 (58.769) Prec@5 82.031 (80.707) Epoch: [39][7260/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7576 (1.8118) Prec@1 58.594 (58.771) Prec@5 84.375 (80.710) Epoch: [39][7270/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9239 (1.8118) Prec@1 53.906 (58.769) Prec@5 76.562 (80.709) Epoch: [39][7280/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.7292 (1.8118) Prec@1 61.719 (58.767) Prec@5 83.594 (80.709) Epoch: [39][7290/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6623 (1.8118) Prec@1 63.281 (58.769) Prec@5 80.469 (80.709) Epoch: [39][7300/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6723 (1.8118) Prec@1 64.062 (58.768) Prec@5 83.594 (80.709) Epoch: [39][7310/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8633 (1.8119) Prec@1 61.719 (58.769) Prec@5 78.906 (80.710) Epoch: [39][7320/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7556 (1.8119) Prec@1 57.812 (58.768) Prec@5 82.031 (80.710) Epoch: [39][7330/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6340 (1.8119) Prec@1 60.156 (58.769) Prec@5 83.594 (80.711) Epoch: [39][7340/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6783 (1.8120) Prec@1 58.594 (58.766) Prec@5 83.594 (80.709) Epoch: [39][7350/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9877 (1.8120) Prec@1 60.938 (58.767) Prec@5 75.781 (80.708) Epoch: [39][7360/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.4167 (1.8122) Prec@1 50.000 (58.763) Prec@5 72.656 (80.706) Epoch: [39][7370/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6082 (1.8123) Prec@1 61.719 (58.760) Prec@5 82.812 (80.705) Epoch: [39][7380/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.5706 (1.8122) Prec@1 64.062 (58.762) Prec@5 86.719 (80.704) Epoch: [39][7390/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8763 (1.8121) Prec@1 59.375 (58.765) Prec@5 79.688 (80.707) Epoch: [39][7400/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.4988 (1.8120) Prec@1 64.062 (58.768) Prec@5 85.156 (80.710) Epoch: [39][7410/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.4516 (1.8118) Prec@1 60.156 (58.770) Prec@5 89.062 (80.712) Epoch: [39][7420/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6013 (1.8118) Prec@1 61.719 (58.771) Prec@5 84.375 (80.712) Epoch: [39][7430/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0489 (1.8118) Prec@1 58.594 (58.771) Prec@5 75.000 (80.711) Epoch: [39][7440/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7802 (1.8119) Prec@1 57.031 (58.770) Prec@5 82.812 (80.712) Epoch: [39][7450/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.4643 (1.8119) Prec@1 71.094 (58.769) Prec@5 87.500 (80.711) /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][7460/10010] Time 0.312 (0.331) Data 0.000 (0.001) Loss 1.6834 (1.8119) Prec@1 61.719 (58.769) Prec@5 82.812 (80.712) Epoch: [39][7470/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0471 (1.8118) Prec@1 54.688 (58.771) Prec@5 78.125 (80.714) Epoch: [39][7480/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6240 (1.8117) Prec@1 58.594 (58.772) Prec@5 85.938 (80.716) Epoch: [39][7490/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7605 (1.8118) Prec@1 62.500 (58.773) Prec@5 77.344 (80.715) Epoch: [39][7500/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8419 (1.8119) Prec@1 61.719 (58.772) Prec@5 79.688 (80.712) Epoch: [39][7510/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.4410 (1.8120) Prec@1 64.844 (58.771) Prec@5 85.156 (80.710) Epoch: [39][7520/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9061 (1.8120) Prec@1 60.156 (58.772) Prec@5 79.688 (80.709) Epoch: [39][7530/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7463 (1.8121) Prec@1 57.812 (58.771) Prec@5 81.250 (80.708) Epoch: [39][7540/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6291 (1.8122) Prec@1 63.281 (58.770) Prec@5 82.031 (80.708) Epoch: [39][7550/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9569 (1.8123) Prec@1 57.031 (58.768) Prec@5 75.000 (80.705) Epoch: [39][7560/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7976 (1.8124) Prec@1 60.938 (58.765) Prec@5 76.562 (80.703) Epoch: [39][7570/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8967 (1.8125) Prec@1 60.156 (58.766) Prec@5 78.125 (80.701) Epoch: [39][7580/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8547 (1.8123) Prec@1 54.688 (58.770) Prec@5 78.906 (80.703) Epoch: [39][7590/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5899 (1.8122) Prec@1 61.719 (58.772) Prec@5 82.812 (80.705) Epoch: [39][7600/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7980 (1.8121) Prec@1 57.812 (58.774) Prec@5 81.250 (80.706) Epoch: [39][7610/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.4281 (1.8121) Prec@1 66.406 (58.775) Prec@5 87.500 (80.706) Epoch: [39][7620/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7344 (1.8120) Prec@1 61.719 (58.776) Prec@5 82.031 (80.706) Epoch: [39][7630/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8506 (1.8121) Prec@1 54.688 (58.774) Prec@5 82.812 (80.704) Epoch: [39][7640/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9223 (1.8122) Prec@1 57.031 (58.771) Prec@5 76.562 (80.703) Epoch: [39][7650/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9156 (1.8122) Prec@1 53.125 (58.773) Prec@5 78.125 (80.701) Epoch: [39][7660/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6444 (1.8121) Prec@1 67.188 (58.776) Prec@5 81.250 (80.702) Epoch: [39][7670/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8496 (1.8122) Prec@1 60.938 (58.773) Prec@5 82.031 (80.700) Epoch: [39][7680/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 2.0829 (1.8123) Prec@1 55.469 (58.772) Prec@5 75.781 (80.697) Epoch: [39][7690/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8780 (1.8123) Prec@1 56.250 (58.773) Prec@5 79.688 (80.698) Epoch: [39][7700/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8923 (1.8123) Prec@1 55.469 (58.773) Prec@5 78.125 (80.698) Epoch: [39][7710/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8003 (1.8124) Prec@1 62.500 (58.773) Prec@5 81.250 (80.696) Epoch: [39][7720/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8138 (1.8125) Prec@1 59.375 (58.770) Prec@5 76.562 (80.694) Epoch: [39][7730/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7638 (1.8125) Prec@1 60.156 (58.768) Prec@5 81.250 (80.693) Epoch: [39][7740/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7981 (1.8126) Prec@1 55.469 (58.766) Prec@5 82.812 (80.694) Epoch: [39][7750/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5347 (1.8126) Prec@1 64.844 (58.766) Prec@5 85.156 (80.693) Epoch: [39][7760/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.6119 (1.8126) Prec@1 64.844 (58.765) Prec@5 85.938 (80.695) Epoch: [39][7770/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7078 (1.8126) Prec@1 66.406 (58.768) Prec@5 81.250 (80.694) Epoch: [39][7780/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7585 (1.8126) Prec@1 62.500 (58.768) Prec@5 82.031 (80.692) Epoch: [39][7790/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6270 (1.8127) Prec@1 61.719 (58.768) Prec@5 84.375 (80.691) Epoch: [39][7800/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8158 (1.8126) Prec@1 63.281 (58.768) Prec@5 79.688 (80.691) Epoch: [39][7810/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7892 (1.8125) Prec@1 55.469 (58.769) Prec@5 79.688 (80.690) Epoch: [39][7820/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.3867 (1.8125) Prec@1 66.406 (58.770) Prec@5 85.938 (80.691) Epoch: [39][7830/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7226 (1.8126) Prec@1 55.469 (58.766) Prec@5 84.375 (80.689) Epoch: [39][7840/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7978 (1.8126) Prec@1 56.250 (58.766) Prec@5 78.906 (80.688) Epoch: [39][7850/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7727 (1.8127) Prec@1 57.031 (58.764) Prec@5 81.250 (80.687) Epoch: [39][7860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7600 (1.8127) Prec@1 56.250 (58.763) Prec@5 83.594 (80.686) Epoch: [39][7870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7545 (1.8127) Prec@1 64.062 (58.764) Prec@5 82.812 (80.687) Epoch: [39][7880/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.2318 (1.8128) Prec@1 50.000 (58.761) Prec@5 76.562 (80.686) Epoch: [39][7890/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7502 (1.8129) Prec@1 57.812 (58.762) Prec@5 82.031 (80.685) Epoch: [39][7900/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0322 (1.8128) Prec@1 55.469 (58.763) Prec@5 80.469 (80.685) Epoch: [39][7910/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.6643 (1.8128) Prec@1 59.375 (58.764) Prec@5 81.250 (80.686) Epoch: [39][7920/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9463 (1.8127) Prec@1 57.031 (58.767) Prec@5 78.906 (80.688) Epoch: [39][7930/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6376 (1.8127) Prec@1 65.625 (58.769) Prec@5 80.469 (80.688) Epoch: [39][7940/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7308 (1.8128) Prec@1 59.375 (58.767) Prec@5 85.938 (80.687) Epoch: [39][7950/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8032 (1.8128) Prec@1 67.188 (58.768) Prec@5 82.031 (80.687) Epoch: [39][7960/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.5728 (1.8128) Prec@1 60.156 (58.767) Prec@5 87.500 (80.687) Epoch: [39][7970/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7547 (1.8129) Prec@1 57.812 (58.766) Prec@5 85.156 (80.687) Epoch: [39][7980/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.4840 (1.8127) Prec@1 64.062 (58.769) Prec@5 83.594 (80.689) Epoch: [39][7990/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.4709 (1.8127) Prec@1 66.406 (58.770) Prec@5 88.281 (80.690) Epoch: [39][8000/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7408 (1.8127) Prec@1 55.469 (58.771) Prec@5 82.812 (80.690) Epoch: [39][8010/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5219 (1.8127) Prec@1 59.375 (58.772) Prec@5 82.031 (80.691) Epoch: [39][8020/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9247 (1.8127) Prec@1 51.562 (58.772) Prec@5 78.125 (80.691) Epoch: [39][8030/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7297 (1.8126) Prec@1 56.250 (58.772) Prec@5 78.906 (80.691) Epoch: [39][8040/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9836 (1.8126) Prec@1 53.906 (58.773) Prec@5 81.250 (80.694) Epoch: [39][8050/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.9052 (1.8126) Prec@1 57.031 (58.772) Prec@5 80.469 (80.694) Epoch: [39][8060/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8399 (1.8127) Prec@1 54.688 (58.771) Prec@5 84.375 (80.693) Epoch: [39][8070/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8522 (1.8126) Prec@1 57.812 (58.772) Prec@5 78.906 (80.693) Epoch: [39][8080/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8506 (1.8127) Prec@1 57.031 (58.771) Prec@5 82.031 (80.693) Epoch: [39][8090/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7109 (1.8126) Prec@1 60.938 (58.770) Prec@5 86.719 (80.695) Epoch: [39][8100/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7777 (1.8127) Prec@1 61.719 (58.770) Prec@5 78.906 (80.696) Epoch: [39][8110/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8245 (1.8127) Prec@1 55.469 (58.769) Prec@5 77.344 (80.694) Epoch: [39][8120/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7380 (1.8129) Prec@1 64.844 (58.767) Prec@5 82.812 (80.692) Epoch: [39][8130/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0615 (1.8129) Prec@1 51.562 (58.766) Prec@5 80.469 (80.692) Epoch: [39][8140/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8923 (1.8129) Prec@1 59.375 (58.767) Prec@5 77.344 (80.691) Epoch: [39][8150/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9147 (1.8128) Prec@1 51.562 (58.768) Prec@5 81.250 (80.692) Epoch: [39][8160/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7318 (1.8127) Prec@1 59.375 (58.768) Prec@5 82.812 (80.694) Epoch: [39][8170/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.4932 (1.8128) Prec@1 46.094 (58.767) Prec@5 69.531 (80.692) Epoch: [39][8180/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9816 (1.8129) Prec@1 56.250 (58.768) Prec@5 75.781 (80.690) Epoch: [39][8190/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0669 (1.8129) Prec@1 54.688 (58.768) Prec@5 81.250 (80.690) Epoch: [39][8200/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8935 (1.8128) Prec@1 53.906 (58.770) Prec@5 81.250 (80.693) Epoch: [39][8210/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6974 (1.8128) Prec@1 59.375 (58.768) Prec@5 82.031 (80.691) Epoch: [39][8220/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8479 (1.8130) Prec@1 52.344 (58.764) Prec@5 78.125 (80.688) Epoch: [39][8230/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6643 (1.8130) Prec@1 65.625 (58.763) Prec@5 83.594 (80.687) Epoch: [39][8240/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6832 (1.8131) Prec@1 62.500 (58.761) Prec@5 84.375 (80.687) Epoch: [39][8250/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0038 (1.8132) Prec@1 53.125 (58.759) Prec@5 77.344 (80.685) Epoch: [39][8260/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8901 (1.8133) Prec@1 57.812 (58.757) Prec@5 77.344 (80.684) Epoch: [39][8270/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8130 (1.8133) Prec@1 53.906 (58.754) Prec@5 78.906 (80.684) Epoch: [39][8280/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7129 (1.8133) Prec@1 62.500 (58.753) Prec@5 78.906 (80.682) Epoch: [39][8290/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9885 (1.8133) Prec@1 58.594 (58.754) Prec@5 78.906 (80.684) Epoch: [39][8300/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6134 (1.8132) Prec@1 60.938 (58.753) Prec@5 82.812 (80.685) Epoch: [39][8310/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5805 (1.8131) Prec@1 62.500 (58.756) Prec@5 83.594 (80.686) Epoch: [39][8320/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8150 (1.8131) Prec@1 58.594 (58.756) Prec@5 77.344 (80.686) Epoch: [39][8330/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8562 (1.8133) Prec@1 58.594 (58.753) Prec@5 79.688 (80.685) Epoch: [39][8340/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8935 (1.8132) Prec@1 53.906 (58.753) Prec@5 81.250 (80.687) Epoch: [39][8350/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8901 (1.8132) Prec@1 52.344 (58.751) Prec@5 83.594 (80.689) Epoch: [39][8360/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0354 (1.8132) Prec@1 57.031 (58.749) Prec@5 77.344 (80.689) Epoch: [39][8370/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7414 (1.8133) Prec@1 59.375 (58.749) Prec@5 80.469 (80.689) Epoch: [39][8380/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8556 (1.8134) Prec@1 62.500 (58.749) Prec@5 80.469 (80.687) Epoch: [39][8390/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.5324 (1.8133) Prec@1 64.062 (58.749) Prec@5 85.938 (80.688) Epoch: [39][8400/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.8529 (1.8135) Prec@1 60.938 (58.749) Prec@5 81.250 (80.686) Epoch: [39][8410/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.2349 (1.8135) Prec@1 52.344 (58.748) Prec@5 73.438 (80.685) Epoch: [39][8420/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7044 (1.8135) Prec@1 64.844 (58.749) Prec@5 81.250 (80.685) Epoch: [39][8430/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0327 (1.8137) Prec@1 60.938 (58.747) Prec@5 78.906 (80.683) Epoch: [39][8440/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.3571 (1.8137) Prec@1 65.625 (58.747) Prec@5 88.281 (80.682) Epoch: [39][8450/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7473 (1.8138) Prec@1 59.375 (58.746) Prec@5 80.469 (80.680) Epoch: [39][8460/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6732 (1.8138) Prec@1 63.281 (58.745) Prec@5 85.156 (80.680) Epoch: [39][8470/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.3753 (1.8138) Prec@1 50.781 (58.745) Prec@5 74.219 (80.680) Epoch: [39][8480/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9363 (1.8139) Prec@1 56.250 (58.745) Prec@5 80.469 (80.680) Epoch: [39][8490/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6403 (1.8139) Prec@1 60.938 (58.746) Prec@5 82.812 (80.680) Epoch: [39][8500/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.8006 (1.8138) Prec@1 60.156 (58.749) Prec@5 81.250 (80.681) Epoch: [39][8510/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8421 (1.8139) Prec@1 58.594 (58.748) Prec@5 78.125 (80.678) Epoch: [39][8520/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.7641 (1.8139) Prec@1 60.938 (58.745) Prec@5 81.250 (80.679) Epoch: [39][8530/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9458 (1.8140) Prec@1 52.344 (58.743) Prec@5 83.594 (80.679) Epoch: [39][8540/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6301 (1.8139) Prec@1 62.500 (58.747) Prec@5 81.250 (80.679) Epoch: [39][8550/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9741 (1.8138) Prec@1 58.594 (58.750) Prec@5 75.781 (80.681) Epoch: [39][8560/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7020 (1.8137) Prec@1 59.375 (58.752) Prec@5 82.031 (80.682) Epoch: [39][8570/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0001 (1.8138) Prec@1 53.906 (58.752) Prec@5 77.344 (80.680) Epoch: [39][8580/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9648 (1.8138) Prec@1 54.688 (58.751) Prec@5 77.344 (80.681) Epoch: [39][8590/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.4979 (1.8138) Prec@1 67.188 (58.752) Prec@5 86.719 (80.681) Epoch: [39][8600/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8090 (1.8137) Prec@1 57.812 (58.754) Prec@5 79.688 (80.681) Epoch: [39][8610/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9311 (1.8138) Prec@1 56.250 (58.751) Prec@5 81.250 (80.681) Epoch: [39][8620/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8642 (1.8139) Prec@1 60.938 (58.750) Prec@5 77.344 (80.679) Epoch: [39][8630/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9332 (1.8138) Prec@1 51.562 (58.750) Prec@5 79.688 (80.679) Epoch: [39][8640/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8636 (1.8138) Prec@1 57.031 (58.750) Prec@5 78.906 (80.679) Epoch: [39][8650/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0133 (1.8139) Prec@1 56.250 (58.747) Prec@5 76.562 (80.678) Epoch: [39][8660/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.0279 (1.8138) Prec@1 61.719 (58.750) Prec@5 76.562 (80.680) Epoch: [39][8670/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6741 (1.8138) Prec@1 60.938 (58.749) Prec@5 80.469 (80.680) Epoch: [39][8680/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7027 (1.8137) Prec@1 60.938 (58.748) Prec@5 81.250 (80.682) Epoch: [39][8690/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8901 (1.8138) Prec@1 53.125 (58.746) Prec@5 78.906 (80.680) Epoch: [39][8700/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9255 (1.8137) Prec@1 53.906 (58.746) Prec@5 82.031 (80.682) Epoch: [39][8710/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9771 (1.8138) Prec@1 55.469 (58.746) Prec@5 76.562 (80.680) Epoch: [39][8720/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5026 (1.8139) Prec@1 64.844 (58.744) Prec@5 85.156 (80.679) Epoch: [39][8730/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0572 (1.8138) Prec@1 53.125 (58.743) Prec@5 75.781 (80.680) Epoch: [39][8740/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8942 (1.8139) Prec@1 56.250 (58.740) Prec@5 80.469 (80.678) Epoch: [39][8750/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6479 (1.8139) Prec@1 63.281 (58.742) Prec@5 80.469 (80.677) Epoch: [39][8760/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9037 (1.8139) Prec@1 54.688 (58.743) Prec@5 81.250 (80.678) Epoch: [39][8770/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7234 (1.8138) Prec@1 61.719 (58.745) Prec@5 82.031 (80.679) Epoch: [39][8780/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6157 (1.8138) Prec@1 63.281 (58.746) Prec@5 81.250 (80.678) Epoch: [39][8790/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8121 (1.8137) Prec@1 56.250 (58.746) Prec@5 81.250 (80.679) Epoch: [39][8800/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7531 (1.8138) Prec@1 60.938 (58.743) Prec@5 79.688 (80.679) Epoch: [39][8810/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9705 (1.8139) Prec@1 56.250 (58.740) Prec@5 79.688 (80.679) Epoch: [39][8820/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8768 (1.8139) Prec@1 54.688 (58.739) Prec@5 82.812 (80.679) Epoch: [39][8830/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0259 (1.8139) Prec@1 51.562 (58.740) Prec@5 74.219 (80.679) Epoch: [39][8840/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.1755 (1.8139) Prec@1 53.906 (58.739) Prec@5 75.000 (80.680) Epoch: [39][8850/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6292 (1.8140) Prec@1 65.625 (58.739) Prec@5 82.031 (80.678) Epoch: [39][8860/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5327 (1.8140) Prec@1 62.500 (58.738) Prec@5 82.812 (80.678) Epoch: [39][8870/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0531 (1.8139) Prec@1 53.125 (58.740) Prec@5 75.000 (80.679) Epoch: [39][8880/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0367 (1.8139) Prec@1 55.469 (58.742) Prec@5 78.125 (80.679) Epoch: [39][8890/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.4526 (1.8139) Prec@1 64.062 (58.743) Prec@5 82.812 (80.678) Epoch: [39][8900/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8616 (1.8138) Prec@1 61.719 (58.745) Prec@5 79.688 (80.678) Epoch: [39][8910/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7150 (1.8139) Prec@1 64.062 (58.743) Prec@5 79.688 (80.676) Epoch: [39][8920/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0516 (1.8139) Prec@1 60.938 (58.745) Prec@5 74.219 (80.675) Epoch: [39][8930/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0588 (1.8140) Prec@1 54.688 (58.742) Prec@5 78.125 (80.674) Epoch: [39][8940/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8320 (1.8140) Prec@1 57.812 (58.741) Prec@5 79.688 (80.674) Epoch: [39][8950/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9142 (1.8140) Prec@1 62.500 (58.743) Prec@5 79.688 (80.674) Epoch: [39][8960/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0794 (1.8139) Prec@1 51.562 (58.742) Prec@5 79.688 (80.674) Epoch: [39][8970/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6162 (1.8139) Prec@1 64.062 (58.744) Prec@5 78.125 (80.675) Epoch: [39][8980/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7951 (1.8139) Prec@1 59.375 (58.744) Prec@5 80.469 (80.673) Epoch: [39][8990/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9174 (1.8139) Prec@1 59.375 (58.744) Prec@5 77.344 (80.673) Epoch: [39][9000/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.7067 (1.8139) Prec@1 59.375 (58.742) Prec@5 82.031 (80.672) Epoch: [39][9010/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7594 (1.8138) Prec@1 64.844 (58.743) Prec@5 82.031 (80.674) Epoch: [39][9020/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9624 (1.8138) Prec@1 60.156 (58.745) Prec@5 75.000 (80.673) Epoch: [39][9030/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8198 (1.8138) Prec@1 61.719 (58.745) Prec@5 77.344 (80.672) Epoch: [39][9040/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.5504 (1.8138) Prec@1 62.500 (58.746) Prec@5 89.062 (80.673) Epoch: [39][9050/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9635 (1.8139) Prec@1 53.125 (58.743) Prec@5 75.000 (80.672) Epoch: [39][9060/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7204 (1.8139) Prec@1 63.281 (58.744) Prec@5 80.469 (80.672) Epoch: [39][9070/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8343 (1.8138) Prec@1 63.281 (58.744) Prec@5 81.250 (80.674) Epoch: [39][9080/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7582 (1.8138) Prec@1 63.281 (58.744) Prec@5 84.375 (80.675) Epoch: [39][9090/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.5695 (1.8138) Prec@1 64.062 (58.744) Prec@5 85.938 (80.674) Epoch: [39][9100/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1920 (1.8140) Prec@1 57.031 (58.742) Prec@5 74.219 (80.672) Epoch: [39][9110/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7321 (1.8140) Prec@1 57.031 (58.740) Prec@5 82.812 (80.673) Epoch: [39][9120/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7696 (1.8141) Prec@1 67.188 (58.741) Prec@5 82.812 (80.673) Epoch: [39][9130/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7447 (1.8141) Prec@1 60.156 (58.739) Prec@5 81.250 (80.673) Epoch: [39][9140/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.9203 (1.8141) Prec@1 58.594 (58.738) Prec@5 78.125 (80.672) Epoch: [39][9150/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7672 (1.8140) Prec@1 54.688 (58.740) Prec@5 81.250 (80.674) Epoch: [39][9160/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7736 (1.8140) Prec@1 64.844 (58.741) Prec@5 80.469 (80.672) Epoch: [39][9170/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7745 (1.8139) Prec@1 52.344 (58.742) Prec@5 77.344 (80.674) Epoch: [39][9180/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8424 (1.8139) Prec@1 61.719 (58.742) Prec@5 79.688 (80.674) Epoch: [39][9190/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8546 (1.8139) Prec@1 59.375 (58.743) Prec@5 78.125 (80.674) Epoch: [39][9200/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6883 (1.8139) Prec@1 59.375 (58.744) Prec@5 81.250 (80.674) Epoch: [39][9210/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7735 (1.8139) Prec@1 53.906 (58.743) Prec@5 78.906 (80.674) Epoch: [39][9220/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8156 (1.8139) Prec@1 64.062 (58.744) Prec@5 81.250 (80.674) Epoch: [39][9230/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8109 (1.8137) Prec@1 60.938 (58.747) Prec@5 78.125 (80.675) Epoch: [39][9240/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7745 (1.8138) Prec@1 56.250 (58.747) Prec@5 77.344 (80.672) Epoch: [39][9250/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8177 (1.8137) Prec@1 60.156 (58.748) Prec@5 83.594 (80.673) Epoch: [39][9260/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7188 (1.8138) Prec@1 63.281 (58.747) Prec@5 82.812 (80.672) Epoch: [39][9270/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.4814 (1.8138) Prec@1 62.500 (58.746) Prec@5 82.812 (80.672) Epoch: [39][9280/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.9773 (1.8138) Prec@1 56.250 (58.746) Prec@5 77.344 (80.673) Epoch: [39][9290/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9481 (1.8137) Prec@1 55.469 (58.750) Prec@5 78.125 (80.674) Epoch: [39][9300/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8321 (1.8136) Prec@1 55.469 (58.750) Prec@5 80.469 (80.674) Epoch: [39][9310/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9795 (1.8137) Prec@1 53.125 (58.749) Prec@5 75.000 (80.675) Epoch: [39][9320/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7742 (1.8136) Prec@1 60.156 (58.751) Prec@5 76.562 (80.676) Epoch: [39][9330/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9654 (1.8137) Prec@1 50.781 (58.750) Prec@5 78.906 (80.675) Epoch: [39][9340/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.4765 (1.8138) Prec@1 49.219 (58.748) Prec@5 72.656 (80.674) Epoch: [39][9350/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6847 (1.8138) Prec@1 57.031 (58.746) Prec@5 82.812 (80.674) Epoch: [39][9360/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8245 (1.8139) Prec@1 57.031 (58.743) Prec@5 82.812 (80.672) Epoch: [39][9370/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6323 (1.8139) Prec@1 63.281 (58.745) Prec@5 82.812 (80.673) Epoch: [39][9380/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8503 (1.8139) Prec@1 62.500 (58.744) Prec@5 85.938 (80.674) Epoch: [39][9390/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6342 (1.8138) Prec@1 66.406 (58.744) Prec@5 82.812 (80.675) Epoch: [39][9400/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8881 (1.8138) Prec@1 57.031 (58.746) Prec@5 78.906 (80.676) Epoch: [39][9410/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8651 (1.8137) Prec@1 60.156 (58.747) Prec@5 82.812 (80.677) Epoch: [39][9420/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8943 (1.8137) Prec@1 58.594 (58.749) Prec@5 78.125 (80.676) Epoch: [39][9430/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5899 (1.8138) Prec@1 68.750 (58.748) Prec@5 84.375 (80.675) Epoch: [39][9440/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7052 (1.8138) Prec@1 63.281 (58.748) Prec@5 80.469 (80.674) Epoch: [39][9450/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7292 (1.8138) Prec@1 63.281 (58.749) Prec@5 79.688 (80.674) Epoch: [39][9460/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9078 (1.8140) Prec@1 56.250 (58.748) Prec@5 77.344 (80.672) Epoch: [39][9470/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.2619 (1.8140) Prec@1 48.438 (58.749) Prec@5 75.000 (80.671) Epoch: [39][9480/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7403 (1.8141) Prec@1 60.156 (58.748) Prec@5 82.812 (80.671) Epoch: [39][9490/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.5157 (1.8140) Prec@1 59.375 (58.748) Prec@5 88.281 (80.673) Epoch: [39][9500/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9840 (1.8140) Prec@1 49.219 (58.748) Prec@5 78.906 (80.672) Epoch: [39][9510/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8611 (1.8140) Prec@1 54.688 (58.747) Prec@5 78.125 (80.673) Epoch: [39][9520/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8312 (1.8140) Prec@1 59.375 (58.748) Prec@5 81.250 (80.673) Epoch: [39][9530/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6099 (1.8140) Prec@1 63.281 (58.748) Prec@5 85.156 (80.673) Epoch: [39][9540/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8066 (1.8141) Prec@1 57.812 (58.746) Prec@5 78.906 (80.672) Epoch: [39][9550/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7601 (1.8140) Prec@1 56.250 (58.745) Prec@5 78.906 (80.672) Epoch: [39][9560/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9607 (1.8141) Prec@1 55.469 (58.744) Prec@5 77.344 (80.670) Epoch: [39][9570/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9080 (1.8141) Prec@1 52.344 (58.745) Prec@5 77.344 (80.671) Epoch: [39][9580/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0718 (1.8141) Prec@1 57.031 (58.744) Prec@5 74.219 (80.670) Epoch: [39][9590/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7345 (1.8141) Prec@1 60.938 (58.745) Prec@5 82.812 (80.672) Epoch: [39][9600/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6375 (1.8141) Prec@1 57.812 (58.743) Prec@5 85.938 (80.672) Epoch: [39][9610/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6524 (1.8141) Prec@1 59.375 (58.744) Prec@5 84.375 (80.672) Epoch: [39][9620/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9872 (1.8140) Prec@1 46.094 (58.742) Prec@5 79.688 (80.673) Epoch: [39][9630/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9529 (1.8139) Prec@1 56.250 (58.744) Prec@5 75.000 (80.674) Epoch: [39][9640/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9563 (1.8140) Prec@1 56.250 (58.742) Prec@5 76.562 (80.672) Epoch: [39][9650/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8574 (1.8140) Prec@1 57.812 (58.742) Prec@5 82.031 (80.674) Epoch: [39][9660/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7480 (1.8140) Prec@1 61.719 (58.743) Prec@5 83.594 (80.674) Epoch: [39][9670/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8311 (1.8141) Prec@1 61.719 (58.741) Prec@5 82.812 (80.674) Epoch: [39][9680/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9198 (1.8141) Prec@1 58.594 (58.741) Prec@5 80.469 (80.673) Epoch: [39][9690/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7543 (1.8141) Prec@1 60.156 (58.741) Prec@5 82.031 (80.672) Epoch: [39][9700/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.5316 (1.8140) Prec@1 59.375 (58.743) Prec@5 86.719 (80.674) Epoch: [39][9710/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9205 (1.8140) Prec@1 57.031 (58.742) Prec@5 78.125 (80.673) Epoch: [39][9720/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7797 (1.8140) Prec@1 57.812 (58.742) Prec@5 82.031 (80.672) Epoch: [39][9730/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.1010 (1.8141) Prec@1 51.562 (58.739) Prec@5 75.000 (80.671) Epoch: [39][9740/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.0176 (1.8142) Prec@1 57.031 (58.739) Prec@5 78.906 (80.670) Epoch: [39][9750/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8065 (1.8141) Prec@1 60.156 (58.739) Prec@5 80.469 (80.670) Epoch: [39][9760/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0943 (1.8141) Prec@1 50.781 (58.738) Prec@5 75.000 (80.671) Epoch: [39][9770/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7222 (1.8142) Prec@1 54.688 (58.735) Prec@5 78.906 (80.670) Epoch: [39][9780/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8427 (1.8142) Prec@1 57.031 (58.733) Prec@5 77.344 (80.668) Epoch: [39][9790/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7539 (1.8142) Prec@1 62.500 (58.733) Prec@5 82.031 (80.669) Epoch: [39][9800/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7206 (1.8142) Prec@1 61.719 (58.733) Prec@5 82.031 (80.669) Epoch: [39][9810/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.5829 (1.8142) Prec@1 67.188 (58.732) Prec@5 86.719 (80.668) Epoch: [39][9820/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8110 (1.8142) Prec@1 57.812 (58.733) Prec@5 80.469 (80.669) Epoch: [39][9830/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.2841 (1.8142) Prec@1 49.219 (58.732) Prec@5 75.781 (80.670) Epoch: [39][9840/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0322 (1.8143) Prec@1 56.250 (58.728) Prec@5 78.125 (80.668) Epoch: [39][9850/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7116 (1.8143) Prec@1 60.938 (58.728) Prec@5 82.031 (80.668) Epoch: [39][9860/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7331 (1.8143) Prec@1 58.594 (58.728) Prec@5 80.469 (80.668) Epoch: [39][9870/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6245 (1.8143) Prec@1 65.625 (58.729) Prec@5 85.156 (80.669) Epoch: [39][9880/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8156 (1.8144) Prec@1 58.594 (58.727) Prec@5 81.250 (80.668) Epoch: [39][9890/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5699 (1.8143) Prec@1 63.281 (58.729) Prec@5 84.375 (80.669) Epoch: [39][9900/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9221 (1.8144) Prec@1 61.719 (58.728) Prec@5 78.125 (80.668) Epoch: [39][9910/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9622 (1.8144) Prec@1 53.906 (58.729) Prec@5 80.469 (80.670) Epoch: [39][9920/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0115 (1.8143) Prec@1 58.594 (58.730) Prec@5 78.906 (80.671) Epoch: [39][9930/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.1136 (1.8144) Prec@1 50.781 (58.730) Prec@5 77.344 (80.671) Epoch: [39][9940/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5923 (1.8143) Prec@1 62.500 (58.730) Prec@5 84.375 (80.671) Epoch: [39][9950/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8341 (1.8144) Prec@1 51.562 (58.728) Prec@5 81.250 (80.669) Epoch: [39][9960/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7970 (1.8144) Prec@1 58.594 (58.727) Prec@5 79.688 (80.668) Epoch: [39][9970/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7721 (1.8145) Prec@1 59.375 (58.725) Prec@5 80.469 (80.666) Epoch: [39][9980/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0373 (1.8144) Prec@1 50.781 (58.726) Prec@5 77.344 (80.668) Epoch: [39][9990/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9809 (1.8144) Prec@1 57.812 (58.728) Prec@5 79.688 (80.668) Epoch: [39][10000/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1125 (1.8143) Prec@1 52.344 (58.727) Prec@5 74.219 (80.669) Test: [0/391] Time 1.444 (1.444) Loss 0.4862 (0.4862) Prec@1 89.844 (89.844) Prec@5 95.312 (95.312) Test: [10/391] Time 0.106 (0.236) Loss 1.3787 (0.8200) Prec@1 67.188 (79.901) Prec@5 89.844 (93.466) Test: [20/391] Time 0.101 (0.181) Loss 1.1782 (1.1038) Prec@1 69.531 (72.321) Prec@5 87.500 (90.067) Test: [30/391] Time 0.102 (0.156) Loss 1.8559 (1.2366) Prec@1 61.719 (68.775) Prec@5 85.156 (89.466) Test: [40/391] Time 0.107 (0.144) Loss 1.3918 (1.1291) Prec@1 64.062 (71.456) Prec@5 87.500 (90.377) Test: [50/391] Time 0.103 (0.137) Loss 0.6563 (1.1814) Prec@1 82.812 (70.741) Prec@5 96.094 (89.859) Test: [60/391] Time 0.107 (0.132) Loss 1.3178 (1.1187) Prec@1 64.844 (72.144) Prec@5 89.844 (90.599) Test: [70/391] Time 0.098 (0.129) Loss 1.4636 (1.1683) Prec@1 57.031 (70.786) Prec@5 85.938 (90.295) Test: [80/391] Time 0.102 (0.126) Loss 0.9264 (1.1867) Prec@1 75.781 (69.695) Prec@5 92.969 (90.316) Test: [90/391] Time 0.106 (0.123) Loss 1.1751 (1.1982) Prec@1 56.250 (69.257) Prec@5 91.406 (90.342) Test: [100/391] Time 0.106 (0.122) Loss 0.8466 (1.1861) Prec@1 78.125 (69.059) Prec@5 96.094 (90.648) Test: [110/391] Time 0.110 (0.121) Loss 1.5503 (1.1933) Prec@1 46.875 (68.694) Prec@5 90.625 (90.674) Test: [120/391] Time 0.108 (0.120) Loss 1.1960 (1.1923) Prec@1 71.094 (68.795) Prec@5 92.188 (90.638) Test: [130/391] Time 0.104 (0.119) Loss 0.4747 (1.1778) Prec@1 89.062 (69.328) Prec@5 96.094 (90.792) Test: [140/391] Time 0.103 (0.118) Loss 1.7704 (1.1815) Prec@1 50.000 (69.116) Prec@5 83.594 (90.780) Test: [150/391] Time 0.103 (0.117) Loss 1.1808 (1.1827) Prec@1 54.688 (69.164) Prec@5 92.969 (90.666) Test: [160/391] Time 0.111 (0.117) Loss 1.0835 (1.1873) Prec@1 67.969 (69.187) Prec@5 90.625 (90.567) Test: [170/391] Time 0.104 (0.116) Loss 2.0231 (1.2241) Prec@1 47.656 (68.416) Prec@5 82.031 (90.164) Test: [180/391] Time 0.108 (0.115) Loss 2.3288 (1.2565) Prec@1 39.844 (67.736) Prec@5 81.250 (89.753) Test: [190/391] Time 0.108 (0.115) Loss 1.9910 (1.2942) Prec@1 59.375 (67.143) Prec@5 83.594 (89.165) Test: [200/391] Time 0.101 (0.115) Loss 1.7948 (1.3278) Prec@1 47.656 (66.507) Prec@5 84.375 (88.689) Test: [210/391] Time 0.107 (0.115) Loss 1.8161 (1.3511) Prec@1 59.375 (66.110) Prec@5 82.812 (88.403) Test: [220/391] Time 0.107 (0.114) Loss 0.9801 (1.3638) Prec@1 77.344 (66.000) Prec@5 90.625 (88.161) Test: [230/391] Time 0.105 (0.114) Loss 2.6609 (1.3841) Prec@1 37.500 (65.662) Prec@5 72.656 (87.875) Test: [240/391] Time 0.105 (0.114) Loss 1.7137 (1.3980) Prec@1 60.938 (65.463) Prec@5 80.469 (87.665) Test: [250/391] Time 0.105 (0.113) Loss 1.1066 (1.4275) Prec@1 75.000 (64.918) Prec@5 89.844 (87.273) Test: [260/391] Time 0.103 (0.113) Loss 1.8793 (1.4472) Prec@1 56.250 (64.479) Prec@5 80.469 (87.045) Test: [270/391] Time 0.103 (0.113) Loss 2.0697 (1.4584) Prec@1 53.906 (64.302) Prec@5 81.250 (86.848) Test: [280/391] Time 0.114 (0.113) Loss 1.1880 (1.4653) Prec@1 71.094 (64.252) Prec@5 90.625 (86.780) Test: [290/391] Time 0.098 (0.112) Loss 1.8618 (1.4803) Prec@1 49.219 (63.987) Prec@5 85.938 (86.531) Test: [300/391] Time 0.103 (0.112) Loss 1.5747 (1.4958) Prec@1 70.312 (63.746) Prec@5 87.500 (86.319) Test: [310/391] Time 0.100 (0.112) Loss 1.7328 (1.5054) Prec@1 63.281 (63.588) Prec@5 80.469 (86.146) Test: [320/391] Time 0.101 (0.112) Loss 1.0715 (1.5147) Prec@1 72.656 (63.461) Prec@5 92.188 (86.013) Test: [330/391] Time 0.109 (0.112) Loss 2.2892 (1.5385) Prec@1 53.125 (62.958) Prec@5 74.219 (85.661) Test: [340/391] Time 0.107 (0.111) Loss 1.5815 (1.5472) Prec@1 51.562 (62.695) Prec@5 90.625 (85.559) Test: [350/391] Time 0.107 (0.111) Loss 1.4659 (1.5517) Prec@1 64.844 (62.654) Prec@5 89.844 (85.470) Test: [360/391] Time 0.105 (0.111) Loss 1.6339 (1.5625) Prec@1 51.562 (62.498) Prec@5 87.500 (85.340) Test: [370/391] Time 0.107 (0.111) Loss 1.3125 (1.5583) Prec@1 64.062 (62.580) Prec@5 95.312 (85.407) Test: [380/391] Time 0.105 (0.111) Loss 1.0823 (1.5588) Prec@1 77.344 (62.611) Prec@5 92.969 (85.361) Test: [390/391] Time 0.073 (0.110) Loss 2.4078 (1.5496) Prec@1 38.750 (62.838) Prec@5 73.750 (85.486) * Prec@1 62.838 Prec@5 85.486 Epoch: [40][0/10010] Time 2.883 (2.883) Data 2.706 (2.706) Loss 1.7248 (1.7248) Prec@1 60.156 (60.156) Prec@5 80.469 (80.469) Epoch: [40][10/10010] Time 0.314 (0.554) Data 0.000 (0.247) Loss 1.7438 (1.7495) Prec@1 59.375 (59.943) Prec@5 80.469 (81.534) Epoch: [40][20/10010] Time 0.324 (0.444) Data 0.000 (0.129) Loss 1.9578 (1.7970) Prec@1 53.125 (59.152) Prec@5 78.125 (80.952) Epoch: [40][30/10010] Time 0.322 (0.404) Data 0.000 (0.088) Loss 1.8606 (1.8001) Prec@1 53.125 (59.047) Prec@5 80.469 (80.973) Epoch: [40][40/10010] Time 0.327 (0.384) Data 0.000 (0.067) Loss 1.6082 (1.8118) Prec@1 60.938 (58.975) Prec@5 84.375 (81.155) Epoch: [40][50/10010] Time 0.328 (0.372) Data 0.001 (0.054) Loss 1.5892 (1.8173) Prec@1 65.625 (58.931) Prec@5 83.594 (81.066) Epoch: [40][60/10010] Time 0.336 (0.366) Data 0.000 (0.045) Loss 1.8839 (1.8292) Prec@1 59.375 (58.671) Prec@5 79.688 (80.853) Epoch: [40][70/10010] Time 0.338 (0.361) Data 0.000 (0.039) Loss 1.9734 (1.8212) Prec@1 55.469 (58.836) Prec@5 78.125 (81.008) Epoch: [40][80/10010] Time 0.333 (0.358) Data 0.000 (0.034) Loss 1.6207 (1.8099) Prec@1 58.594 (59.124) Prec@5 82.031 (81.105) Epoch: [40][90/10010] Time 0.348 (0.356) Data 0.000 (0.030) Loss 1.9010 (1.8092) Prec@1 55.469 (58.980) Prec@5 78.906 (81.070) Epoch: [40][100/10010] Time 0.349 (0.354) Data 0.000 (0.027) Loss 1.7845 (1.8057) Prec@1 57.812 (59.042) Prec@5 80.469 (81.049) Epoch: [40][110/10010] Time 0.320 (0.352) Data 0.001 (0.025) Loss 1.7359 (1.8054) Prec@1 57.031 (59.037) Prec@5 81.250 (81.060) Epoch: [40][120/10010] Time 0.334 (0.351) Data 0.000 (0.023) Loss 1.5882 (1.8018) Prec@1 58.594 (59.046) Prec@5 86.719 (81.101) Epoch: [40][130/10010] Time 0.340 (0.349) Data 0.000 (0.021) Loss 1.9324 (1.8041) Prec@1 56.250 (59.011) Prec@5 78.906 (81.023) Epoch: [40][140/10010] Time 0.338 (0.348) Data 0.000 (0.020) Loss 1.7346 (1.8019) Prec@1 57.812 (58.982) Prec@5 84.375 (81.078) Epoch: [40][150/10010] Time 0.321 (0.347) Data 0.001 (0.018) Loss 1.7832 (1.7970) Prec@1 60.156 (59.090) Prec@5 80.469 (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: [40][160/10010] Time 0.344 (0.346) Data 0.000 (0.017) Loss 2.0095 (1.7973) Prec@1 56.250 (59.098) Prec@5 73.438 (80.998) Epoch: [40][170/10010] Time 0.334 (0.346) Data 0.000 (0.016) Loss 1.9197 (1.7964) Prec@1 53.125 (59.142) Prec@5 82.031 (81.035) Epoch: [40][180/10010] Time 0.331 (0.345) Data 0.000 (0.015) Loss 1.7068 (1.7967) Prec@1 57.812 (59.155) Prec@5 82.812 (81.026) Epoch: [40][190/10010] Time 0.334 (0.344) Data 0.000 (0.015) Loss 1.8074 (1.7969) Prec@1 57.031 (59.080) Prec@5 81.250 (81.054) Epoch: [40][200/10010] Time 0.324 (0.343) Data 0.000 (0.014) Loss 1.6200 (1.7943) Prec@1 63.281 (59.006) Prec@5 82.812 (81.083) Epoch: [40][210/10010] Time 0.319 (0.342) Data 0.000 (0.013) Loss 1.6945 (1.7930) Prec@1 57.031 (58.983) Prec@5 85.156 (81.117) Epoch: [40][220/10010] Time 0.329 (0.342) Data 0.000 (0.013) Loss 1.7454 (1.7888) Prec@1 60.156 (59.007) Prec@5 82.031 (81.165) Epoch: [40][230/10010] Time 0.344 (0.341) Data 0.001 (0.012) Loss 1.8914 (1.7930) Prec@1 58.594 (58.912) Prec@5 81.250 (81.101) Epoch: [40][240/10010] Time 0.336 (0.341) Data 0.001 (0.012) Loss 1.5915 (1.7949) Prec@1 62.500 (58.911) Prec@5 82.031 (81.088) Epoch: [40][250/10010] Time 0.323 (0.341) Data 0.001 (0.011) Loss 1.7022 (1.7917) Prec@1 60.938 (59.005) Prec@5 82.031 (81.122) Epoch: [40][260/10010] Time 0.344 (0.341) Data 0.001 (0.011) Loss 1.8468 (1.7907) Prec@1 56.250 (59.010) Prec@5 76.562 (81.115) Epoch: [40][270/10010] Time 0.343 (0.341) Data 0.001 (0.011) Loss 1.6671 (1.7916) Prec@1 59.375 (58.974) Prec@5 78.125 (81.080) Epoch: [40][280/10010] Time 0.330 (0.340) Data 0.001 (0.010) Loss 1.7988 (1.7918) Prec@1 57.031 (58.955) Prec@5 84.375 (81.089) Epoch: [40][290/10010] Time 0.328 (0.340) Data 0.000 (0.010) Loss 1.8397 (1.7911) Prec@1 57.031 (59.013) Prec@5 79.688 (81.092) Epoch: [40][300/10010] Time 0.329 (0.339) Data 0.001 (0.010) Loss 1.9918 (1.7923) Prec@1 55.469 (59.027) Prec@5 79.688 (81.058) Epoch: [40][310/10010] Time 0.343 (0.339) Data 0.000 (0.009) Loss 1.7407 (1.7920) Prec@1 54.688 (59.018) Prec@5 83.594 (81.104) Epoch: [40][320/10010] Time 0.323 (0.339) Data 0.000 (0.009) Loss 1.7161 (1.7909) Prec@1 62.500 (59.071) Prec@5 82.812 (81.119) Epoch: [40][330/10010] Time 0.334 (0.339) Data 0.001 (0.009) Loss 2.2772 (1.7909) Prec@1 53.125 (59.019) Prec@5 72.656 (81.134) Epoch: [40][340/10010] Time 0.328 (0.338) Data 0.001 (0.008) Loss 1.7002 (1.7925) Prec@1 60.156 (59.008) Prec@5 82.812 (81.101) Epoch: [40][350/10010] Time 0.343 (0.338) Data 0.001 (0.008) Loss 1.7781 (1.7916) Prec@1 60.156 (59.039) Prec@5 78.906 (81.130) Epoch: [40][360/10010] Time 0.334 (0.338) Data 0.000 (0.008) Loss 1.7480 (1.7917) Prec@1 61.719 (59.027) Prec@5 79.688 (81.133) Epoch: [40][370/10010] Time 0.336 (0.338) Data 0.001 (0.008) Loss 1.9304 (1.7919) Prec@1 56.250 (59.002) Prec@5 79.688 (81.094) Epoch: [40][380/10010] Time 0.337 (0.338) Data 0.000 (0.008) Loss 1.7793 (1.7901) Prec@1 60.156 (59.049) Prec@5 83.594 (81.102) Epoch: [40][390/10010] Time 0.331 (0.338) Data 0.000 (0.007) Loss 1.6658 (1.7909) Prec@1 60.938 (59.025) Prec@5 84.375 (81.070) Epoch: [40][400/10010] Time 0.333 (0.338) Data 0.000 (0.007) Loss 1.7483 (1.7890) Prec@1 64.062 (59.042) Prec@5 80.469 (81.098) Epoch: [40][410/10010] Time 0.338 (0.338) Data 0.001 (0.007) Loss 1.6918 (1.7876) Prec@1 61.719 (59.065) Prec@5 84.375 (81.121) Epoch: [40][420/10010] Time 0.317 (0.337) Data 0.001 (0.007) Loss 1.6658 (1.7874) Prec@1 60.938 (59.041) Prec@5 82.031 (81.118) Epoch: [40][430/10010] Time 0.343 (0.337) Data 0.000 (0.007) Loss 1.5939 (1.7887) Prec@1 67.969 (59.007) Prec@5 84.375 (81.107) Epoch: [40][440/10010] Time 0.345 (0.337) Data 0.000 (0.007) Loss 1.8904 (1.7899) Prec@1 57.812 (58.982) Prec@5 78.125 (81.092) Epoch: [40][450/10010] Time 0.318 (0.337) Data 0.000 (0.007) Loss 1.5229 (1.7886) Prec@1 64.062 (59.008) Prec@5 89.062 (81.124) Epoch: [40][460/10010] Time 0.326 (0.337) Data 0.000 (0.006) Loss 1.8128 (1.7901) Prec@1 60.156 (58.999) Prec@5 80.469 (81.089) Epoch: [40][470/10010] Time 0.333 (0.337) Data 0.000 (0.006) Loss 1.8229 (1.7887) Prec@1 57.812 (59.045) Prec@5 82.031 (81.134) Epoch: [40][480/10010] Time 0.335 (0.337) Data 0.000 (0.006) Loss 1.6329 (1.7885) Prec@1 63.281 (59.044) Prec@5 82.812 (81.146) Epoch: [40][490/10010] Time 0.336 (0.337) Data 0.001 (0.006) Loss 1.7813 (1.7872) Prec@1 56.250 (59.038) Prec@5 78.125 (81.153) Epoch: [40][500/10010] Time 0.336 (0.337) Data 0.000 (0.006) Loss 1.7161 (1.7882) Prec@1 60.156 (59.019) Prec@5 80.469 (81.135) Epoch: [40][510/10010] Time 0.321 (0.337) Data 0.000 (0.006) Loss 1.9573 (1.7884) Prec@1 54.688 (59.011) Prec@5 81.250 (81.145) Epoch: [40][520/10010] Time 0.320 (0.336) Data 0.001 (0.006) Loss 1.7810 (1.7902) Prec@1 59.375 (59.021) Prec@5 82.812 (81.121) Epoch: [40][530/10010] Time 0.321 (0.336) Data 0.001 (0.006) Loss 1.9476 (1.7876) Prec@1 56.250 (59.057) Prec@5 77.344 (81.147) Epoch: [40][540/10010] Time 0.322 (0.336) Data 0.000 (0.006) Loss 1.5144 (1.7868) Prec@1 65.625 (59.088) Prec@5 85.156 (81.156) Epoch: [40][550/10010] Time 0.326 (0.336) Data 0.000 (0.005) Loss 1.8396 (1.7864) Prec@1 62.500 (59.079) Prec@5 82.031 (81.169) Epoch: [40][560/10010] Time 0.337 (0.336) Data 0.001 (0.005) Loss 1.6438 (1.7854) Prec@1 57.812 (59.081) Prec@5 83.594 (81.196) Epoch: [40][570/10010] Time 0.347 (0.336) Data 0.001 (0.005) Loss 1.8453 (1.7855) Prec@1 57.031 (59.070) Prec@5 82.812 (81.209) Epoch: [40][580/10010] Time 0.319 (0.336) Data 0.001 (0.005) Loss 1.8768 (1.7861) Prec@1 63.281 (59.095) Prec@5 79.688 (81.185) Epoch: [40][590/10010] Time 0.338 (0.336) Data 0.001 (0.005) Loss 1.4368 (1.7853) Prec@1 66.406 (59.115) Prec@5 87.500 (81.198) Epoch: [40][600/10010] Time 0.347 (0.336) Data 0.001 (0.005) Loss 2.0058 (1.7864) Prec@1 58.594 (59.086) Prec@5 79.688 (81.195) Epoch: [40][610/10010] Time 0.329 (0.336) Data 0.001 (0.005) Loss 1.8903 (1.7853) Prec@1 58.594 (59.101) Prec@5 76.562 (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: [40][620/10010] Time 0.326 (0.336) Data 0.000 (0.005) Loss 1.9167 (1.7861) Prec@1 59.375 (59.103) Prec@5 78.906 (81.177) Epoch: [40][630/10010] Time 0.332 (0.336) Data 0.001 (0.005) Loss 1.7405 (1.7860) Prec@1 58.594 (59.091) Prec@5 80.469 (81.183) Epoch: [40][640/10010] Time 0.321 (0.336) Data 0.000 (0.005) Loss 1.7376 (1.7868) Prec@1 60.156 (59.079) Prec@5 79.688 (81.157) Epoch: [40][650/10010] Time 0.335 (0.336) Data 0.001 (0.005) Loss 2.1154 (1.7862) Prec@1 56.250 (59.098) Prec@5 78.125 (81.162) Epoch: [40][660/10010] Time 0.320 (0.336) Data 0.001 (0.005) Loss 1.6884 (1.7878) Prec@1 60.938 (59.069) Prec@5 84.375 (81.140) Epoch: [40][670/10010] Time 0.328 (0.336) Data 0.001 (0.005) Loss 1.9977 (1.7880) Prec@1 54.688 (59.071) Prec@5 81.250 (81.135) Epoch: [40][680/10010] Time 0.327 (0.335) Data 0.001 (0.005) Loss 1.5291 (1.7886) Prec@1 60.938 (59.055) Prec@5 87.500 (81.127) Epoch: [40][690/10010] Time 0.345 (0.335) Data 0.001 (0.004) Loss 1.9931 (1.7882) Prec@1 56.250 (59.073) Prec@5 72.656 (81.126) Epoch: [40][700/10010] Time 0.334 (0.335) Data 0.001 (0.004) Loss 1.9234 (1.7893) Prec@1 54.688 (59.050) Prec@5 76.562 (81.107) Epoch: [40][710/10010] Time 0.342 (0.335) Data 0.000 (0.004) Loss 1.7977 (1.7903) Prec@1 57.031 (59.037) Prec@5 79.688 (81.099) Epoch: [40][720/10010] Time 0.336 (0.335) Data 0.000 (0.004) Loss 1.5922 (1.7896) Prec@1 59.375 (59.059) Prec@5 87.500 (81.126) Epoch: [40][730/10010] Time 0.333 (0.335) Data 0.000 (0.004) Loss 2.0057 (1.7897) Prec@1 57.812 (59.068) Prec@5 79.688 (81.120) Epoch: [40][740/10010] Time 0.339 (0.335) Data 0.001 (0.004) Loss 1.5472 (1.7892) Prec@1 60.156 (59.061) Prec@5 87.500 (81.145) Epoch: [40][750/10010] Time 0.343 (0.335) Data 0.000 (0.004) Loss 2.0877 (1.7896) Prec@1 51.562 (59.058) Prec@5 78.906 (81.138) Epoch: [40][760/10010] Time 0.326 (0.335) Data 0.001 (0.004) Loss 1.7268 (1.7898) Prec@1 58.594 (59.074) Prec@5 85.938 (81.130) Epoch: [40][770/10010] Time 0.323 (0.335) Data 0.001 (0.004) Loss 1.8748 (1.7911) Prec@1 61.719 (59.059) Prec@5 82.031 (81.110) Epoch: [40][780/10010] Time 0.323 (0.335) Data 0.001 (0.004) Loss 1.7704 (1.7921) Prec@1 60.938 (59.027) Prec@5 81.250 (81.108) Epoch: [40][790/10010] Time 0.316 (0.335) Data 0.001 (0.004) Loss 2.0576 (1.7937) Prec@1 50.781 (58.988) Prec@5 76.562 (81.069) Epoch: [40][800/10010] Time 0.335 (0.335) Data 0.001 (0.004) Loss 1.8321 (1.7942) Prec@1 59.375 (58.987) Prec@5 78.906 (81.059) Epoch: [40][810/10010] Time 0.332 (0.335) Data 0.000 (0.004) Loss 2.0079 (1.7945) Prec@1 53.125 (58.968) Prec@5 78.125 (81.056) Epoch: [40][820/10010] Time 0.328 (0.335) Data 0.000 (0.004) Loss 2.0825 (1.7954) Prec@1 53.125 (58.963) Prec@5 76.562 (81.046) Epoch: [40][830/10010] Time 0.333 (0.335) Data 0.000 (0.004) Loss 1.5852 (1.7943) Prec@1 64.844 (58.995) Prec@5 82.031 (81.063) Epoch: [40][840/10010] Time 0.344 (0.335) Data 0.000 (0.004) Loss 1.6471 (1.7940) Prec@1 63.281 (59.002) Prec@5 83.594 (81.063) Epoch: [40][850/10010] Time 0.349 (0.335) Data 0.000 (0.004) Loss 1.9540 (1.7940) Prec@1 55.469 (59.000) Prec@5 79.688 (81.054) Epoch: [40][860/10010] Time 0.327 (0.335) Data 0.000 (0.004) Loss 1.8142 (1.7932) Prec@1 58.594 (59.036) Prec@5 77.344 (81.057) Epoch: [40][870/10010] Time 0.334 (0.335) Data 0.000 (0.004) Loss 1.9399 (1.7929) Prec@1 50.781 (59.028) Prec@5 77.344 (81.050) Epoch: [40][880/10010] Time 0.341 (0.335) Data 0.001 (0.004) Loss 1.6228 (1.7921) Prec@1 62.500 (59.034) Prec@5 84.375 (81.074) Epoch: [40][890/10010] Time 0.320 (0.335) Data 0.001 (0.004) Loss 1.9046 (1.7931) Prec@1 52.344 (59.033) Prec@5 81.250 (81.049) Epoch: [40][900/10010] Time 0.331 (0.335) Data 0.000 (0.004) Loss 1.7465 (1.7937) Prec@1 60.938 (59.032) Prec@5 81.250 (81.044) Epoch: [40][910/10010] Time 0.338 (0.335) Data 0.000 (0.004) Loss 1.6651 (1.7937) Prec@1 64.844 (59.035) Prec@5 82.812 (81.045) Epoch: [40][920/10010] Time 0.319 (0.335) Data 0.001 (0.004) Loss 1.8435 (1.7941) Prec@1 63.281 (59.053) Prec@5 80.469 (81.019) Epoch: [40][930/10010] Time 0.327 (0.335) Data 0.000 (0.003) Loss 1.5478 (1.7933) Prec@1 63.281 (59.065) Prec@5 84.375 (81.023) Epoch: [40][940/10010] Time 0.343 (0.335) Data 0.001 (0.003) Loss 2.0902 (1.7939) Prec@1 53.906 (59.059) Prec@5 74.219 (81.018) Epoch: [40][950/10010] Time 0.326 (0.335) Data 0.001 (0.003) Loss 1.9687 (1.7936) Prec@1 57.031 (59.070) Prec@5 75.000 (81.027) Epoch: [40][960/10010] Time 0.346 (0.335) Data 0.001 (0.003) Loss 1.8762 (1.7938) Prec@1 57.031 (59.079) Prec@5 82.812 (81.023) Epoch: [40][970/10010] Time 0.324 (0.335) Data 0.000 (0.003) Loss 1.8246 (1.7934) Prec@1 60.156 (59.092) Prec@5 78.906 (81.020) Epoch: [40][980/10010] Time 0.336 (0.335) Data 0.001 (0.003) Loss 1.9352 (1.7938) Prec@1 57.812 (59.075) Prec@5 78.125 (81.013) Epoch: [40][990/10010] Time 0.340 (0.334) Data 0.000 (0.003) Loss 2.3639 (1.7957) Prec@1 47.656 (59.058) Prec@5 71.094 (80.980) Epoch: [40][1000/10010] Time 0.336 (0.334) Data 0.000 (0.003) Loss 1.7172 (1.7944) Prec@1 67.188 (59.098) Prec@5 78.125 (80.992) Epoch: [40][1010/10010] Time 0.337 (0.334) Data 0.001 (0.003) Loss 1.6083 (1.7944) Prec@1 63.281 (59.100) Prec@5 83.594 (80.990) Epoch: [40][1020/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.3224 (1.7954) Prec@1 52.344 (59.074) Prec@5 71.094 (80.968) Epoch: [40][1030/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 1.7673 (1.7963) Prec@1 56.250 (59.057) Prec@5 78.125 (80.957) Epoch: [40][1040/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 1.9427 (1.7959) Prec@1 56.250 (59.064) Prec@5 78.125 (80.957) Epoch: [40][1050/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 1.5417 (1.7958) Prec@1 63.281 (59.073) Prec@5 86.719 (80.956) Epoch: [40][1060/10010] Time 0.330 (0.334) Data 0.000 (0.003) Loss 1.9574 (1.7972) Prec@1 60.156 (59.047) Prec@5 77.344 (80.932) Epoch: [40][1070/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 1.7814 (1.7969) Prec@1 57.031 (59.047) Prec@5 81.250 (80.938) Epoch: [40][1080/10010] Time 0.320 (0.334) Data 0.001 (0.003) Loss 2.0764 (1.7972) Prec@1 55.469 (59.049) Prec@5 78.906 (80.941) Epoch: [40][1090/10010] Time 0.338 (0.334) Data 0.001 (0.003) Loss 1.7841 (1.7972) Prec@1 57.031 (59.059) Prec@5 82.812 (80.939) Epoch: [40][1100/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 2.0070 (1.7975) Prec@1 56.250 (59.064) Prec@5 77.344 (80.928) Epoch: [40][1110/10010] Time 0.314 (0.334) Data 0.001 (0.003) Loss 1.8729 (1.7969) Prec@1 58.594 (59.078) Prec@5 82.812 (80.934) Epoch: [40][1120/10010] Time 0.324 (0.334) Data 0.001 (0.003) Loss 1.7423 (1.7966) Prec@1 61.719 (59.084) Prec@5 82.031 (80.946) Epoch: [40][1130/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 1.8524 (1.7962) Prec@1 60.938 (59.088) Prec@5 81.250 (80.951) Epoch: [40][1140/10010] Time 0.324 (0.334) Data 0.001 (0.003) Loss 1.8595 (1.7966) Prec@1 56.250 (59.068) Prec@5 79.688 (80.941) Epoch: [40][1150/10010] Time 0.321 (0.334) Data 0.001 (0.003) Loss 1.7242 (1.7959) Prec@1 60.156 (59.080) Prec@5 79.688 (80.960) Epoch: [40][1160/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 1.6224 (1.7955) Prec@1 57.812 (59.080) Prec@5 82.812 (80.973) Epoch: [40][1170/10010] Time 0.335 (0.334) Data 0.000 (0.003) Loss 1.5286 (1.7947) Prec@1 63.281 (59.088) Prec@5 82.812 (80.980) Epoch: [40][1180/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 2.0748 (1.7951) Prec@1 53.125 (59.081) Prec@5 74.219 (80.966) Epoch: [40][1190/10010] Time 0.315 (0.334) Data 0.001 (0.003) Loss 1.9869 (1.7952) Prec@1 57.031 (59.084) Prec@5 75.781 (80.960) Epoch: [40][1200/10010] Time 0.345 (0.334) Data 0.000 (0.003) Loss 1.7218 (1.7945) Prec@1 61.719 (59.101) Prec@5 78.906 (80.964) Epoch: [40][1210/10010] Time 0.341 (0.334) Data 0.000 (0.003) Loss 1.6060 (1.7939) Prec@1 62.500 (59.115) Prec@5 82.031 (80.961) Epoch: [40][1220/10010] Time 0.334 (0.334) Data 0.000 (0.003) Loss 1.7329 (1.7938) Prec@1 61.719 (59.125) Prec@5 82.031 (80.952) Epoch: [40][1230/10010] Time 0.330 (0.334) Data 0.000 (0.003) Loss 1.8841 (1.7938) Prec@1 59.375 (59.130) Prec@5 77.344 (80.956) /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][1240/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 1.9863 (1.7936) Prec@1 60.938 (59.155) Prec@5 75.781 (80.952) Epoch: [40][1250/10010] Time 0.344 (0.334) Data 0.000 (0.003) Loss 1.8293 (1.7945) Prec@1 57.812 (59.138) Prec@5 83.594 (80.943) Epoch: [40][1260/10010] Time 0.330 (0.334) Data 0.000 (0.003) Loss 1.7241 (1.7939) Prec@1 58.594 (59.143) Prec@5 82.812 (80.946) Epoch: [40][1270/10010] Time 0.320 (0.334) Data 0.001 (0.003) Loss 1.8586 (1.7936) Prec@1 56.250 (59.156) Prec@5 77.344 (80.944) Epoch: [40][1280/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.0488 (1.7932) Prec@1 59.375 (59.173) Prec@5 77.344 (80.948) Epoch: [40][1290/10010] Time 0.329 (0.334) Data 0.001 (0.003) Loss 2.0258 (1.7936) Prec@1 54.688 (59.175) Prec@5 78.125 (80.947) Epoch: [40][1300/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 1.7249 (1.7933) Prec@1 62.500 (59.180) Prec@5 81.250 (80.958) Epoch: [40][1310/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 1.8341 (1.7944) Prec@1 62.500 (59.165) Prec@5 79.688 (80.948) Epoch: [40][1320/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 1.7194 (1.7944) Prec@1 59.375 (59.169) Prec@5 82.812 (80.940) Epoch: [40][1330/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 1.8928 (1.7952) Prec@1 55.469 (59.151) Prec@5 78.906 (80.927) Epoch: [40][1340/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 1.6554 (1.7950) Prec@1 56.250 (59.150) Prec@5 79.688 (80.930) Epoch: [40][1350/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 1.6678 (1.7957) Prec@1 60.938 (59.137) Prec@5 82.031 (80.908) Epoch: [40][1360/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 1.8875 (1.7954) Prec@1 58.594 (59.147) Prec@5 77.344 (80.908) Epoch: [40][1370/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 1.2627 (1.7948) Prec@1 67.188 (59.158) Prec@5 89.844 (80.919) Epoch: [40][1380/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 1.6121 (1.7947) Prec@1 58.594 (59.149) Prec@5 80.469 (80.911) Epoch: [40][1390/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 1.8407 (1.7950) Prec@1 53.125 (59.126) Prec@5 82.031 (80.915) Epoch: [40][1400/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 1.6248 (1.7951) Prec@1 61.719 (59.120) Prec@5 85.938 (80.914) Epoch: [40][1410/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 1.9496 (1.7953) Prec@1 56.250 (59.113) Prec@5 77.344 (80.907) Epoch: [40][1420/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.7909 (1.7956) Prec@1 59.375 (59.116) Prec@5 80.469 (80.903) Epoch: [40][1430/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.8704 (1.7955) Prec@1 56.250 (59.107) Prec@5 77.344 (80.907) Epoch: [40][1440/10010] Time 0.316 (0.333) Data 0.000 (0.002) Loss 1.5352 (1.7958) Prec@1 64.062 (59.099) Prec@5 87.500 (80.900) Epoch: [40][1450/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 1.7393 (1.7959) Prec@1 61.719 (59.103) Prec@5 82.812 (80.901) Epoch: [40][1460/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 1.8239 (1.7956) Prec@1 59.375 (59.108) Prec@5 82.031 (80.920) Epoch: [40][1470/10010] Time 0.347 (0.333) Data 0.000 (0.002) Loss 1.5609 (1.7961) Prec@1 62.500 (59.100) Prec@5 84.375 (80.907) Epoch: [40][1480/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.9776 (1.7954) Prec@1 51.562 (59.113) Prec@5 78.125 (80.920) Epoch: [40][1490/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.0228 (1.7950) Prec@1 53.906 (59.125) Prec@5 75.000 (80.930) Epoch: [40][1500/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.2133 (1.7956) Prec@1 50.000 (59.117) Prec@5 70.312 (80.919) Epoch: [40][1510/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.5812 (1.7957) Prec@1 60.938 (59.106) Prec@5 80.469 (80.916) Epoch: [40][1520/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.8490 (1.7962) Prec@1 51.562 (59.091) Prec@5 83.594 (80.908) Epoch: [40][1530/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 1.7358 (1.7955) Prec@1 61.719 (59.109) Prec@5 81.250 (80.920) Epoch: [40][1540/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.9366 (1.7955) Prec@1 59.375 (59.124) Prec@5 75.000 (80.914) Epoch: [40][1550/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 1.5821 (1.7953) Prec@1 60.156 (59.128) Prec@5 85.156 (80.918) Epoch: [40][1560/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 1.5408 (1.7946) Prec@1 60.938 (59.136) Prec@5 85.156 (80.926) Epoch: [40][1570/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.6552 (1.7950) Prec@1 64.062 (59.128) Prec@5 81.250 (80.919) Epoch: [40][1580/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 1.6190 (1.7945) Prec@1 61.719 (59.148) Prec@5 82.812 (80.930) Epoch: [40][1590/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.8228 (1.7948) Prec@1 63.281 (59.143) Prec@5 80.469 (80.918) Epoch: [40][1600/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 1.8571 (1.7951) Prec@1 52.344 (59.144) Prec@5 83.594 (80.915) Epoch: [40][1610/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 1.6447 (1.7951) Prec@1 59.375 (59.143) Prec@5 82.812 (80.914) Epoch: [40][1620/10010] Time 0.308 (0.333) Data 0.001 (0.002) Loss 1.7438 (1.7946) Prec@1 63.281 (59.162) Prec@5 79.688 (80.922) Epoch: [40][1630/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 1.9556 (1.7939) Prec@1 57.031 (59.180) Prec@5 79.688 (80.929) Epoch: [40][1640/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 1.8908 (1.7937) Prec@1 57.031 (59.189) Prec@5 81.250 (80.931) Epoch: [40][1650/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 1.5351 (1.7936) Prec@1 64.844 (59.188) Prec@5 84.375 (80.932) Epoch: [40][1660/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 1.8251 (1.7940) Prec@1 61.719 (59.172) Prec@5 78.906 (80.922) Epoch: [40][1670/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.7858 (1.7945) Prec@1 60.938 (59.166) Prec@5 81.250 (80.912) Epoch: [40][1680/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.6872 (1.7947) Prec@1 60.156 (59.171) Prec@5 85.938 (80.909) Epoch: [40][1690/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.7497 (1.7943) Prec@1 58.594 (59.174) Prec@5 85.156 (80.916) Epoch: [40][1700/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 1.7372 (1.7945) Prec@1 59.375 (59.169) Prec@5 81.250 (80.912) Epoch: [40][1710/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.7530 (1.7945) Prec@1 57.031 (59.159) Prec@5 82.031 (80.911) Epoch: [40][1720/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.1053 (1.7947) Prec@1 53.125 (59.145) Prec@5 76.562 (80.907) Epoch: [40][1730/10010] Time 0.310 (0.333) Data 0.000 (0.002) Loss 1.8640 (1.7949) Prec@1 54.688 (59.136) Prec@5 79.688 (80.901) Epoch: [40][1740/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 1.7955 (1.7948) Prec@1 55.469 (59.141) Prec@5 80.469 (80.899) Epoch: [40][1750/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 1.9576 (1.7953) Prec@1 54.688 (59.136) Prec@5 78.906 (80.891) Epoch: [40][1760/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 2.1408 (1.7954) Prec@1 51.562 (59.129) Prec@5 77.344 (80.886) Epoch: [40][1770/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.8911 (1.7962) Prec@1 58.594 (59.119) Prec@5 79.688 (80.869) Epoch: [40][1780/10010] Time 0.347 (0.333) Data 0.001 (0.002) Loss 1.6578 (1.7963) Prec@1 67.188 (59.126) Prec@5 84.375 (80.871) Epoch: [40][1790/10010] Time 0.315 (0.333) Data 0.001 (0.002) Loss 1.5594 (1.7963) Prec@1 64.844 (59.128) Prec@5 86.719 (80.868) Epoch: [40][1800/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 1.7562 (1.7963) Prec@1 57.031 (59.123) Prec@5 82.031 (80.872) Epoch: [40][1810/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 2.0865 (1.7967) Prec@1 56.250 (59.123) Prec@5 74.219 (80.866) Epoch: [40][1820/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.6484 (1.7964) Prec@1 62.500 (59.126) Prec@5 81.250 (80.869) Epoch: [40][1830/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 1.5779 (1.7957) Prec@1 69.531 (59.148) Prec@5 82.031 (80.880) Epoch: [40][1840/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.7367 (1.7956) Prec@1 58.594 (59.150) Prec@5 81.250 (80.885) Epoch: [40][1850/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 1.7717 (1.7953) Prec@1 60.938 (59.158) Prec@5 79.688 (80.888) Epoch: [40][1860/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 1.9643 (1.7956) Prec@1 55.469 (59.158) Prec@5 78.906 (80.882) Epoch: [40][1870/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 1.4517 (1.7958) Prec@1 65.625 (59.150) Prec@5 87.500 (80.876) Epoch: [40][1880/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 1.9032 (1.7956) Prec@1 58.594 (59.161) Prec@5 78.125 (80.881) Epoch: [40][1890/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.5575 (1.7958) Prec@1 61.719 (59.158) Prec@5 80.469 (80.871) Epoch: [40][1900/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 1.9657 (1.7957) Prec@1 50.781 (59.156) Prec@5 77.344 (80.865) Epoch: [40][1910/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 1.6826 (1.7951) Prec@1 65.625 (59.172) Prec@5 82.031 (80.870) Epoch: [40][1920/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 1.5426 (1.7948) Prec@1 60.156 (59.168) Prec@5 83.594 (80.873) Epoch: [40][1930/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 1.5421 (1.7950) Prec@1 64.844 (59.159) Prec@5 85.156 (80.875) Epoch: [40][1940/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.6786 (1.7956) Prec@1 59.375 (59.149) Prec@5 84.375 (80.865) Epoch: [40][1950/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 1.8213 (1.7964) Prec@1 60.938 (59.137) Prec@5 79.688 (80.851) Epoch: [40][1960/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 1.8567 (1.7962) Prec@1 58.594 (59.140) Prec@5 82.812 (80.853) Epoch: [40][1970/10010] Time 0.324 (0.333) Data 0.002 (0.002) Loss 1.6724 (1.7964) Prec@1 62.500 (59.137) Prec@5 82.031 (80.855) Epoch: [40][1980/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.7484 (1.7968) Prec@1 57.031 (59.130) Prec@5 82.031 (80.854) Epoch: [40][1990/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 1.6324 (1.7974) Prec@1 59.375 (59.122) Prec@5 84.375 (80.843) Epoch: [40][2000/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.8609 (1.7975) Prec@1 57.812 (59.126) Prec@5 80.469 (80.840) Epoch: [40][2010/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 1.6121 (1.7976) Prec@1 64.844 (59.124) Prec@5 84.375 (80.838) Epoch: [40][2020/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.9296 (1.7970) Prec@1 53.906 (59.135) Prec@5 78.906 (80.853) Epoch: [40][2030/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 1.6345 (1.7965) Prec@1 60.156 (59.138) Prec@5 85.156 (80.860) Epoch: [40][2040/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 1.8267 (1.7965) Prec@1 61.719 (59.141) Prec@5 81.250 (80.861) Epoch: [40][2050/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 1.5764 (1.7963) Prec@1 67.969 (59.145) Prec@5 84.375 (80.865) Epoch: [40][2060/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 1.8372 (1.7963) Prec@1 56.250 (59.145) Prec@5 78.906 (80.869) Epoch: [40][2070/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.7211 (1.7960) Prec@1 65.625 (59.149) Prec@5 82.031 (80.876) Epoch: [40][2080/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.9217 (1.7959) Prec@1 53.906 (59.149) Prec@5 75.781 (80.879) Epoch: [40][2090/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.5884 (1.7963) Prec@1 67.969 (59.146) Prec@5 82.031 (80.873) Epoch: [40][2100/10010] Time 0.348 (0.333) Data 0.000 (0.002) Loss 2.0978 (1.7962) Prec@1 52.344 (59.149) Prec@5 78.125 (80.874) Epoch: [40][2110/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 1.9725 (1.7965) Prec@1 57.031 (59.139) Prec@5 78.125 (80.869) Epoch: [40][2120/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 1.7679 (1.7963) Prec@1 58.594 (59.145) Prec@5 82.031 (80.868) Epoch: [40][2130/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.6702 (1.7964) Prec@1 60.938 (59.146) Prec@5 85.156 (80.866) Epoch: [40][2140/10010] Time 0.309 (0.333) Data 0.001 (0.002) Loss 1.7768 (1.7962) Prec@1 55.469 (59.144) Prec@5 82.812 (80.874) Epoch: [40][2150/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 1.7576 (1.7969) Prec@1 54.688 (59.131) Prec@5 82.812 (80.866) Epoch: [40][2160/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.6653 (1.7969) Prec@1 65.625 (59.133) Prec@5 82.031 (80.868) Epoch: [40][2170/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 1.9141 (1.7969) Prec@1 60.938 (59.139) Prec@5 78.906 (80.871) Epoch: [40][2180/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 1.9237 (1.7971) Prec@1 59.375 (59.139) Prec@5 79.688 (80.865) Epoch: [40][2190/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.9456 (1.7972) Prec@1 55.469 (59.143) Prec@5 78.906 (80.865) Epoch: [40][2200/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 1.4064 (1.7970) Prec@1 67.969 (59.150) Prec@5 85.156 (80.866) Epoch: [40][2210/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 1.6793 (1.7969) Prec@1 61.719 (59.147) Prec@5 86.719 (80.867) Epoch: [40][2220/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.4641 (1.7969) Prec@1 65.625 (59.148) Prec@5 85.156 (80.864) Epoch: [40][2230/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 1.8100 (1.7966) Prec@1 62.500 (59.152) Prec@5 84.375 (80.868) Epoch: [40][2240/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.7721 (1.7966) Prec@1 64.062 (59.160) Prec@5 78.906 (80.860) Epoch: [40][2250/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.8533 (1.7968) Prec@1 60.156 (59.156) Prec@5 83.594 (80.858) Epoch: [40][2260/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 1.9941 (1.7972) Prec@1 55.469 (59.151) Prec@5 76.562 (80.846) Epoch: [40][2270/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 2.1987 (1.7977) Prec@1 53.125 (59.139) Prec@5 75.000 (80.838) Epoch: [40][2280/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 2.1221 (1.7975) Prec@1 50.781 (59.136) Prec@5 79.688 (80.843) Epoch: [40][2290/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.8290 (1.7978) Prec@1 66.406 (59.129) Prec@5 77.344 (80.836) Epoch: [40][2300/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.4539 (1.7979) Prec@1 66.406 (59.130) Prec@5 85.156 (80.836) Epoch: [40][2310/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.8506 (1.7981) Prec@1 52.344 (59.119) Prec@5 82.812 (80.836) Epoch: [40][2320/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.5453 (1.7977) Prec@1 67.969 (59.127) Prec@5 82.031 (80.847) Epoch: [40][2330/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 1.7267 (1.7983) Prec@1 60.938 (59.119) Prec@5 78.125 (80.839) Epoch: [40][2340/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.7961 (1.7981) Prec@1 64.844 (59.132) Prec@5 81.250 (80.848) Epoch: [40][2350/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 1.7518 (1.7978) Prec@1 60.156 (59.134) Prec@5 79.688 (80.853) Epoch: [40][2360/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.9580 (1.7980) Prec@1 61.719 (59.133) Prec@5 76.562 (80.852) Epoch: [40][2370/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.1043 (1.7980) Prec@1 51.562 (59.133) Prec@5 76.562 (80.851) Epoch: [40][2380/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.9829 (1.7982) Prec@1 59.375 (59.134) Prec@5 79.688 (80.850) Epoch: [40][2390/10010] Time 0.328 (0.333) Data 0.003 (0.002) Loss 1.5630 (1.7979) Prec@1 65.625 (59.143) Prec@5 85.156 (80.856) Epoch: [40][2400/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.9461 (1.7978) Prec@1 59.375 (59.140) Prec@5 82.812 (80.859) Epoch: [40][2410/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 1.8565 (1.7980) Prec@1 58.594 (59.136) Prec@5 81.250 (80.853) Epoch: [40][2420/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.6333 (1.7979) Prec@1 63.281 (59.140) Prec@5 82.812 (80.852) Epoch: [40][2430/10010] Time 0.349 (0.333) Data 0.000 (0.002) Loss 1.8445 (1.7981) Prec@1 58.594 (59.130) Prec@5 81.250 (80.853) Epoch: [40][2440/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 1.9982 (1.7979) Prec@1 60.938 (59.141) Prec@5 82.031 (80.861) Epoch: [40][2450/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 1.8719 (1.7978) Prec@1 61.719 (59.145) Prec@5 75.781 (80.859) Epoch: [40][2460/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.7012 (1.7979) Prec@1 66.406 (59.143) Prec@5 83.594 (80.854) Epoch: [40][2470/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 1.7393 (1.7982) Prec@1 57.812 (59.131) Prec@5 83.594 (80.846) Epoch: [40][2480/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 1.8359 (1.7983) Prec@1 55.469 (59.124) Prec@5 82.031 (80.848) Epoch: [40][2490/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 1.8055 (1.7982) Prec@1 59.375 (59.126) Prec@5 82.031 (80.853) Epoch: [40][2500/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.4972 (1.7982) Prec@1 65.625 (59.128) Prec@5 87.500 (80.857) Epoch: [40][2510/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.7604 (1.7978) Prec@1 60.156 (59.131) Prec@5 80.469 (80.860) Epoch: [40][2520/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 1.5691 (1.7976) Prec@1 64.844 (59.143) Prec@5 83.594 (80.860) Epoch: [40][2530/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.0115 (1.7977) Prec@1 60.156 (59.144) Prec@5 77.344 (80.861) Epoch: [40][2540/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 1.6209 (1.7975) Prec@1 64.844 (59.147) Prec@5 78.906 (80.864) Epoch: [40][2550/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 2.0823 (1.7976) Prec@1 56.250 (59.148) Prec@5 70.312 (80.857) Epoch: [40][2560/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.7940 (1.7976) Prec@1 59.375 (59.148) Prec@5 82.031 (80.855) Epoch: [40][2570/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.8541 (1.7979) Prec@1 56.250 (59.142) Prec@5 78.125 (80.850) Epoch: [40][2580/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 2.1277 (1.7980) Prec@1 55.469 (59.133) Prec@5 77.344 (80.849) Epoch: [40][2590/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8620 (1.7984) Prec@1 60.938 (59.130) Prec@5 79.688 (80.841) Epoch: [40][2600/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.7911 (1.7980) Prec@1 60.156 (59.135) Prec@5 83.594 (80.844) Epoch: [40][2610/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.6295 (1.7979) Prec@1 62.500 (59.138) Prec@5 79.688 (80.844) Epoch: [40][2620/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.0669 (1.7977) Prec@1 58.594 (59.144) Prec@5 79.688 (80.848) Epoch: [40][2630/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 1.5364 (1.7974) Prec@1 64.844 (59.151) Prec@5 88.281 (80.853) Epoch: [40][2640/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.7474 (1.7972) Prec@1 57.812 (59.157) Prec@5 78.906 (80.853) Epoch: [40][2650/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7020 (1.7971) Prec@1 60.938 (59.154) Prec@5 78.906 (80.850) Epoch: [40][2660/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.9091 (1.7974) Prec@1 57.812 (59.149) Prec@5 81.250 (80.848) Epoch: [40][2670/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.6418 (1.7971) Prec@1 64.844 (59.155) Prec@5 85.156 (80.856) Epoch: [40][2680/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.6445 (1.7972) Prec@1 68.750 (59.159) Prec@5 85.156 (80.853) Epoch: [40][2690/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.6857 (1.7975) Prec@1 64.062 (59.152) Prec@5 80.469 (80.848) Epoch: [40][2700/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.6744 (1.7978) Prec@1 59.375 (59.145) Prec@5 80.469 (80.844) Epoch: [40][2710/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.7258 (1.7978) Prec@1 62.500 (59.145) Prec@5 80.469 (80.846) Epoch: [40][2720/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.7939 (1.7980) Prec@1 61.719 (59.141) Prec@5 83.594 (80.843) Epoch: [40][2730/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.7145 (1.7975) Prec@1 65.625 (59.147) Prec@5 85.938 (80.854) Epoch: [40][2740/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.7682 (1.7976) Prec@1 59.375 (59.143) Prec@5 82.812 (80.854) Epoch: [40][2750/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.4404 (1.7982) Prec@1 66.406 (59.136) Prec@5 82.031 (80.845) Epoch: [40][2760/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.6563 (1.7984) Prec@1 60.156 (59.131) Prec@5 82.031 (80.840) Epoch: [40][2770/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.4843 (1.7983) Prec@1 67.188 (59.128) Prec@5 85.156 (80.845) Epoch: [40][2780/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.9229 (1.7983) Prec@1 54.688 (59.131) Prec@5 77.344 (80.847) Epoch: [40][2790/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.8143 (1.7982) Prec@1 59.375 (59.134) Prec@5 79.688 (80.846) Epoch: [40][2800/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.6483 (1.7981) Prec@1 57.812 (59.138) Prec@5 79.688 (80.849) Epoch: [40][2810/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.9128 (1.7983) Prec@1 57.812 (59.138) Prec@5 77.344 (80.846) Epoch: [40][2820/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.6267 (1.7982) Prec@1 64.062 (59.143) Prec@5 85.938 (80.846) Epoch: [40][2830/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 1.5866 (1.7982) Prec@1 60.156 (59.139) Prec@5 85.938 (80.846) Epoch: [40][2840/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 1.6504 (1.7981) Prec@1 64.844 (59.132) Prec@5 84.375 (80.849) Epoch: [40][2850/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.8364 (1.7981) Prec@1 58.594 (59.130) Prec@5 82.031 (80.847) Epoch: [40][2860/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.1988 (1.7979) Prec@1 68.750 (59.131) Prec@5 90.625 (80.852) Epoch: [40][2870/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.6648 (1.7979) Prec@1 63.281 (59.134) Prec@5 79.688 (80.850) Epoch: [40][2880/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.4433 (1.7977) Prec@1 66.406 (59.139) Prec@5 85.938 (80.854) Epoch: [40][2890/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.6678 (1.7973) Prec@1 66.406 (59.145) Prec@5 82.812 (80.859) Epoch: [40][2900/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.5993 (1.7973) Prec@1 64.844 (59.144) Prec@5 80.469 (80.857) Epoch: [40][2910/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8351 (1.7973) Prec@1 62.500 (59.146) Prec@5 79.688 (80.858) Epoch: [40][2920/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9209 (1.7977) Prec@1 59.375 (59.143) Prec@5 77.344 (80.850) Epoch: [40][2930/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.0518 (1.7980) Prec@1 52.344 (59.137) Prec@5 78.906 (80.847) Epoch: [40][2940/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8384 (1.7979) Prec@1 57.812 (59.138) Prec@5 78.906 (80.848) Epoch: [40][2950/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.9674 (1.7983) Prec@1 57.031 (59.134) Prec@5 81.250 (80.846) Epoch: [40][2960/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6555 (1.7983) Prec@1 59.375 (59.134) Prec@5 80.469 (80.845) Epoch: [40][2970/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6638 (1.7985) Prec@1 64.844 (59.128) Prec@5 81.250 (80.839) Epoch: [40][2980/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9861 (1.7987) Prec@1 55.469 (59.125) Prec@5 82.031 (80.837) Epoch: [40][2990/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7578 (1.7988) Prec@1 64.062 (59.125) Prec@5 78.906 (80.836) Epoch: [40][3000/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7685 (1.7989) Prec@1 57.031 (59.122) Prec@5 80.469 (80.838) Epoch: [40][3010/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8684 (1.7988) Prec@1 60.938 (59.126) Prec@5 82.812 (80.844) Epoch: [40][3020/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7816 (1.7995) Prec@1 59.375 (59.110) Prec@5 81.250 (80.831) Epoch: [40][3030/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8851 (1.7997) Prec@1 57.031 (59.109) Prec@5 78.125 (80.825) Epoch: [40][3040/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8758 (1.7998) Prec@1 56.250 (59.109) Prec@5 80.469 (80.828) Epoch: [40][3050/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6527 (1.7996) Prec@1 63.281 (59.116) Prec@5 84.375 (80.831) Epoch: [40][3060/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.6984 (1.7995) Prec@1 59.375 (59.116) Prec@5 82.031 (80.830) Epoch: [40][3070/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.0992 (1.7997) Prec@1 57.031 (59.116) Prec@5 78.906 (80.827) Epoch: [40][3080/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8266 (1.7994) Prec@1 59.375 (59.130) Prec@5 81.250 (80.831) Epoch: [40][3090/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0158 (1.7998) Prec@1 53.125 (59.121) Prec@5 78.906 (80.824) Epoch: [40][3100/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6877 (1.7998) Prec@1 64.062 (59.121) Prec@5 84.375 (80.823) Epoch: [40][3110/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7623 (1.7998) Prec@1 60.938 (59.123) Prec@5 78.906 (80.826) Epoch: [40][3120/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8769 (1.8000) Prec@1 60.938 (59.122) Prec@5 76.562 (80.825) Epoch: [40][3130/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.2744 (1.8004) Prec@1 50.000 (59.116) Prec@5 70.312 (80.816) Epoch: [40][3140/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8662 (1.8005) Prec@1 63.281 (59.113) Prec@5 79.688 (80.815) Epoch: [40][3150/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.5503 (1.8004) Prec@1 63.281 (59.115) Prec@5 84.375 (80.815) Epoch: [40][3160/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0238 (1.8009) Prec@1 54.688 (59.108) Prec@5 78.906 (80.808) Epoch: [40][3170/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7969 (1.8008) Prec@1 60.938 (59.107) Prec@5 77.344 (80.808) Epoch: [40][3180/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8256 (1.8011) Prec@1 59.375 (59.103) Prec@5 82.031 (80.806) Epoch: [40][3190/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7746 (1.8012) Prec@1 57.812 (59.099) Prec@5 82.031 (80.803) Epoch: [40][3200/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7866 (1.8014) Prec@1 59.375 (59.098) Prec@5 80.469 (80.803) Epoch: [40][3210/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6153 (1.8010) Prec@1 63.281 (59.101) Prec@5 82.031 (80.808) Epoch: [40][3220/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.9581 (1.8013) Prec@1 60.938 (59.097) Prec@5 82.031 (80.808) Epoch: [40][3230/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7035 (1.8013) Prec@1 67.969 (59.098) Prec@5 83.594 (80.812) Epoch: [40][3240/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6696 (1.8012) Prec@1 57.031 (59.096) Prec@5 84.375 (80.810) Epoch: [40][3250/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.5951 (1.8012) Prec@1 61.719 (59.099) Prec@5 79.688 (80.808) Epoch: [40][3260/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9715 (1.8012) Prec@1 56.250 (59.094) Prec@5 82.812 (80.806) Epoch: [40][3270/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.4641 (1.8011) Prec@1 64.844 (59.095) Prec@5 85.938 (80.808) Epoch: [40][3280/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8793 (1.8013) Prec@1 60.938 (59.090) Prec@5 78.906 (80.803) Epoch: [40][3290/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.1199 (1.8012) Prec@1 50.000 (59.089) Prec@5 75.781 (80.806) Epoch: [40][3300/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6191 (1.8010) Prec@1 62.500 (59.091) Prec@5 83.594 (80.809) Epoch: [40][3310/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.5336 (1.8011) Prec@1 66.406 (59.092) Prec@5 84.375 (80.807) Epoch: [40][3320/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9726 (1.8012) Prec@1 52.344 (59.095) Prec@5 81.250 (80.808) Epoch: [40][3330/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.6436 (1.8011) Prec@1 57.812 (59.101) Prec@5 85.938 (80.814) Epoch: [40][3340/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.5856 (1.8009) Prec@1 61.719 (59.104) Prec@5 82.031 (80.816) Epoch: [40][3350/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8936 (1.8004) Prec@1 53.125 (59.111) Prec@5 86.719 (80.826) Epoch: [40][3360/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6845 (1.8003) Prec@1 57.031 (59.111) Prec@5 82.812 (80.825) Epoch: [40][3370/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.2923 (1.8003) Prec@1 52.344 (59.110) Prec@5 72.656 (80.825) Epoch: [40][3380/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9285 (1.8005) Prec@1 57.031 (59.103) Prec@5 78.906 (80.823) Epoch: [40][3390/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9169 (1.8006) Prec@1 51.562 (59.099) Prec@5 79.688 (80.820) Epoch: [40][3400/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.7695 (1.8005) Prec@1 57.812 (59.103) Prec@5 82.031 (80.824) Epoch: [40][3410/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6186 (1.8004) Prec@1 60.156 (59.107) Prec@5 81.250 (80.827) Epoch: [40][3420/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6018 (1.8005) Prec@1 64.062 (59.110) Prec@5 82.031 (80.825) Epoch: [40][3430/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8628 (1.8008) Prec@1 57.812 (59.108) Prec@5 78.125 (80.818) Epoch: [40][3440/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.5717 (1.8006) Prec@1 64.844 (59.113) Prec@5 85.938 (80.820) Epoch: [40][3450/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6757 (1.8006) Prec@1 53.125 (59.110) Prec@5 86.719 (80.820) Epoch: [40][3460/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5143 (1.8006) Prec@1 67.188 (59.109) Prec@5 82.031 (80.818) Epoch: [40][3470/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7050 (1.8006) Prec@1 61.719 (59.106) Prec@5 82.031 (80.815) Epoch: [40][3480/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8668 (1.8006) Prec@1 60.938 (59.105) Prec@5 80.469 (80.814) Epoch: [40][3490/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6233 (1.8009) Prec@1 61.719 (59.100) Prec@5 83.594 (80.810) Epoch: [40][3500/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0426 (1.8012) Prec@1 53.906 (59.091) Prec@5 77.344 (80.804) Epoch: [40][3510/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9553 (1.8011) Prec@1 54.688 (59.089) Prec@5 78.125 (80.807) Epoch: [40][3520/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7732 (1.8011) Prec@1 57.812 (59.088) Prec@5 82.031 (80.809) Epoch: [40][3530/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0445 (1.8013) Prec@1 52.344 (59.086) Prec@5 75.781 (80.804) Epoch: [40][3540/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5720 (1.8013) Prec@1 63.281 (59.085) Prec@5 83.594 (80.802) Epoch: [40][3550/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.8294 (1.8012) Prec@1 56.250 (59.084) Prec@5 76.562 (80.800) Epoch: [40][3560/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.5128 (1.8010) Prec@1 63.281 (59.093) Prec@5 84.375 (80.804) Epoch: [40][3570/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 1.4797 (1.8009) Prec@1 70.312 (59.099) Prec@5 86.719 (80.806) Epoch: [40][3580/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7389 (1.8008) Prec@1 64.844 (59.102) Prec@5 83.594 (80.810) Epoch: [40][3590/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8248 (1.8005) Prec@1 57.812 (59.108) Prec@5 78.906 (80.814) Epoch: [40][3600/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6116 (1.8006) Prec@1 66.406 (59.107) Prec@5 86.719 (80.811) Epoch: [40][3610/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8184 (1.8005) Prec@1 55.469 (59.105) Prec@5 76.562 (80.815) Epoch: [40][3620/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0214 (1.8004) Prec@1 57.031 (59.107) Prec@5 78.906 (80.814) Epoch: [40][3630/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7343 (1.8004) Prec@1 63.281 (59.109) Prec@5 82.031 (80.813) Epoch: [40][3640/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5539 (1.8003) Prec@1 56.250 (59.106) Prec@5 84.375 (80.817) Epoch: [40][3650/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.5146 (1.8005) Prec@1 66.406 (59.103) Prec@5 83.594 (80.814) Epoch: [40][3660/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5818 (1.8005) Prec@1 65.625 (59.105) Prec@5 85.156 (80.817) Epoch: [40][3670/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8989 (1.8009) Prec@1 52.344 (59.095) Prec@5 75.781 (80.808) Epoch: [40][3680/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.2255 (1.8012) Prec@1 54.688 (59.092) Prec@5 78.906 (80.807) Epoch: [40][3690/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.5694 (1.8013) Prec@1 67.188 (59.088) Prec@5 85.938 (80.810) Epoch: [40][3700/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8641 (1.8014) Prec@1 61.719 (59.084) Prec@5 81.250 (80.810) Epoch: [40][3710/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.1172 (1.8017) Prec@1 56.250 (59.079) Prec@5 74.219 (80.806) Epoch: [40][3720/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7629 (1.8017) Prec@1 64.844 (59.077) Prec@5 82.031 (80.807) Epoch: [40][3730/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9825 (1.8018) Prec@1 55.469 (59.075) Prec@5 77.344 (80.807) Epoch: [40][3740/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.4981 (1.8019) Prec@1 67.969 (59.073) Prec@5 87.500 (80.804) Epoch: [40][3750/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.0035 (1.8020) Prec@1 53.906 (59.069) Prec@5 80.469 (80.801) Epoch: [40][3760/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9849 (1.8019) Prec@1 55.469 (59.072) Prec@5 82.031 (80.802) Epoch: [40][3770/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5856 (1.8018) Prec@1 63.281 (59.074) Prec@5 81.250 (80.800) Epoch: [40][3780/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7220 (1.8017) Prec@1 57.812 (59.073) Prec@5 82.812 (80.800) Epoch: [40][3790/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9550 (1.8019) Prec@1 58.594 (59.070) Prec@5 80.469 (80.797) Epoch: [40][3800/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.7675 (1.8019) Prec@1 54.688 (59.069) Prec@5 82.812 (80.798) Epoch: [40][3810/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5179 (1.8017) Prec@1 63.281 (59.072) Prec@5 85.938 (80.800) Epoch: [40][3820/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6887 (1.8017) Prec@1 57.031 (59.071) Prec@5 83.594 (80.802) Epoch: [40][3830/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6394 (1.8017) Prec@1 60.156 (59.068) Prec@5 84.375 (80.801) Epoch: [40][3840/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8262 (1.8018) Prec@1 63.281 (59.068) Prec@5 78.125 (80.797) Epoch: [40][3850/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7348 (1.8020) Prec@1 65.625 (59.067) Prec@5 82.031 (80.795) Epoch: [40][3860/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6806 (1.8021) Prec@1 56.250 (59.064) Prec@5 84.375 (80.795) Epoch: [40][3870/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8006 (1.8021) Prec@1 60.156 (59.067) Prec@5 82.031 (80.797) Epoch: [40][3880/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8768 (1.8021) Prec@1 58.594 (59.066) Prec@5 80.469 (80.797) Epoch: [40][3890/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6516 (1.8022) Prec@1 57.812 (59.064) Prec@5 82.031 (80.791) Epoch: [40][3900/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7897 (1.8021) Prec@1 58.594 (59.070) Prec@5 84.375 (80.796) Epoch: [40][3910/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6728 (1.8022) Prec@1 59.375 (59.066) Prec@5 83.594 (80.794) Epoch: [40][3920/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0212 (1.8024) Prec@1 53.906 (59.067) Prec@5 73.438 (80.790) Epoch: [40][3930/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7676 (1.8027) Prec@1 60.938 (59.063) Prec@5 78.125 (80.783) Epoch: [40][3940/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7151 (1.8027) Prec@1 64.062 (59.066) Prec@5 81.250 (80.782) Epoch: [40][3950/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7739 (1.8027) Prec@1 61.719 (59.067) Prec@5 82.031 (80.784) Epoch: [40][3960/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.5836 (1.8026) Prec@1 64.062 (59.069) Prec@5 81.250 (80.784) Epoch: [40][3970/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9909 (1.8027) Prec@1 60.938 (59.071) Prec@5 78.125 (80.782) Epoch: [40][3980/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8154 (1.8028) Prec@1 58.594 (59.070) Prec@5 75.781 (80.780) Epoch: [40][3990/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8504 (1.8027) Prec@1 58.594 (59.068) Prec@5 77.344 (80.780) Epoch: [40][4000/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8397 (1.8027) Prec@1 62.500 (59.068) Prec@5 80.469 (80.781) Epoch: [40][4010/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8666 (1.8028) Prec@1 53.906 (59.066) Prec@5 79.688 (80.780) Epoch: [40][4020/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8341 (1.8032) Prec@1 58.594 (59.057) Prec@5 80.469 (80.774) Epoch: [40][4030/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8076 (1.8033) Prec@1 63.281 (59.058) Prec@5 83.594 (80.771) Epoch: [40][4040/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8186 (1.8033) Prec@1 60.156 (59.057) Prec@5 83.594 (80.770) Epoch: [40][4050/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.6730 (1.8032) Prec@1 54.688 (59.053) Prec@5 85.938 (80.771) Epoch: [40][4060/10010] Time 0.311 (0.332) Data 0.001 (0.001) Loss 1.8364 (1.8034) Prec@1 60.938 (59.047) Prec@5 81.250 (80.770) Epoch: [40][4070/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7348 (1.8035) Prec@1 60.156 (59.046) Prec@5 82.812 (80.769) Epoch: [40][4080/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.0752 (1.8035) Prec@1 57.031 (59.051) Prec@5 74.219 (80.768) Epoch: [40][4090/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.2421 (1.8034) Prec@1 45.312 (59.050) Prec@5 72.656 (80.768) Epoch: [40][4100/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5828 (1.8033) Prec@1 63.281 (59.051) Prec@5 85.156 (80.771) Epoch: [40][4110/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.4492 (1.8032) Prec@1 64.062 (59.055) Prec@5 89.844 (80.774) Epoch: [40][4120/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.9572 (1.8034) Prec@1 53.125 (59.054) Prec@5 78.125 (80.770) Epoch: [40][4130/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8033 (1.8035) Prec@1 59.375 (59.052) Prec@5 82.031 (80.769) Epoch: [40][4140/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8293 (1.8034) Prec@1 52.344 (59.049) Prec@5 78.906 (80.770) Epoch: [40][4150/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9606 (1.8034) Prec@1 59.375 (59.053) Prec@5 81.250 (80.770) Epoch: [40][4160/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0487 (1.8037) Prec@1 54.688 (59.052) Prec@5 76.562 (80.767) Epoch: [40][4170/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8621 (1.8035) Prec@1 59.375 (59.055) Prec@5 77.344 (80.769) Epoch: [40][4180/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.5217 (1.8038) Prec@1 64.062 (59.051) Prec@5 80.469 (80.766) Epoch: [40][4190/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6974 (1.8037) Prec@1 53.125 (59.048) Prec@5 85.156 (80.769) Epoch: [40][4200/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.9746 (1.8038) Prec@1 55.469 (59.041) Prec@5 76.562 (80.767) Epoch: [40][4210/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7193 (1.8040) Prec@1 60.156 (59.041) Prec@5 82.031 (80.764) Epoch: [40][4220/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.1636 (1.8040) Prec@1 56.250 (59.039) Prec@5 77.344 (80.762) Epoch: [40][4230/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.5090 (1.8041) Prec@1 66.406 (59.039) Prec@5 85.938 (80.762) Epoch: [40][4240/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6620 (1.8040) Prec@1 60.938 (59.037) Prec@5 84.375 (80.762) Epoch: [40][4250/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6390 (1.8038) Prec@1 61.719 (59.040) Prec@5 84.375 (80.766) Epoch: [40][4260/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7259 (1.8037) Prec@1 62.500 (59.043) Prec@5 78.125 (80.765) Epoch: [40][4270/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7686 (1.8035) Prec@1 61.719 (59.046) Prec@5 81.250 (80.767) Epoch: [40][4280/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7679 (1.8036) Prec@1 56.250 (59.042) Prec@5 82.031 (80.766) Epoch: [40][4290/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8191 (1.8036) Prec@1 54.688 (59.043) Prec@5 80.469 (80.766) Epoch: [40][4300/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.2940 (1.8036) Prec@1 50.781 (59.044) Prec@5 71.875 (80.765) Epoch: [40][4310/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7676 (1.8036) Prec@1 57.031 (59.044) Prec@5 81.250 (80.764) Epoch: [40][4320/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9145 (1.8035) Prec@1 60.938 (59.047) Prec@5 79.688 (80.763) Epoch: [40][4330/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 1.7231 (1.8033) Prec@1 64.062 (59.050) Prec@5 80.469 (80.765) /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][4340/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.6402 (1.8035) Prec@1 59.375 (59.047) Prec@5 84.375 (80.762) Epoch: [40][4350/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.5589 (1.8035) Prec@1 60.938 (59.049) Prec@5 86.719 (80.763) Epoch: [40][4360/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9617 (1.8036) Prec@1 54.688 (59.047) Prec@5 78.906 (80.760) Epoch: [40][4370/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.4770 (1.8036) Prec@1 59.375 (59.045) Prec@5 85.938 (80.761) Epoch: [40][4380/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7681 (1.8035) Prec@1 55.469 (59.044) Prec@5 85.938 (80.760) Epoch: [40][4390/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.5435 (1.8036) Prec@1 66.406 (59.037) Prec@5 87.500 (80.756) Epoch: [40][4400/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.1609 (1.8037) Prec@1 59.375 (59.040) Prec@5 73.438 (80.754) Epoch: [40][4410/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.4372 (1.8036) Prec@1 60.938 (59.040) Prec@5 86.719 (80.755) Epoch: [40][4420/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.9277 (1.8036) Prec@1 55.469 (59.037) Prec@5 78.906 (80.752) Epoch: [40][4430/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7977 (1.8037) Prec@1 57.031 (59.036) Prec@5 81.250 (80.749) Epoch: [40][4440/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9020 (1.8037) Prec@1 58.594 (59.031) Prec@5 76.562 (80.746) Epoch: [40][4450/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5862 (1.8039) Prec@1 62.500 (59.026) Prec@5 82.812 (80.743) Epoch: [40][4460/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7453 (1.8038) Prec@1 62.500 (59.031) Prec@5 82.812 (80.746) Epoch: [40][4470/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9642 (1.8038) Prec@1 57.812 (59.031) Prec@5 78.125 (80.748) Epoch: [40][4480/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8172 (1.8038) Prec@1 59.375 (59.030) Prec@5 83.594 (80.751) Epoch: [40][4490/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.0859 (1.8038) Prec@1 56.250 (59.026) Prec@5 78.125 (80.751) Epoch: [40][4500/10010] Time 0.318 (0.332) Data 0.003 (0.001) Loss 1.4732 (1.8038) Prec@1 64.062 (59.027) Prec@5 85.938 (80.750) Epoch: [40][4510/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5744 (1.8038) Prec@1 68.750 (59.030) Prec@5 82.031 (80.748) Epoch: [40][4520/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.6871 (1.8040) Prec@1 60.156 (59.026) Prec@5 82.031 (80.744) Epoch: [40][4530/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.6004 (1.8040) Prec@1 64.062 (59.027) Prec@5 82.031 (80.743) Epoch: [40][4540/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6698 (1.8036) Prec@1 62.500 (59.034) Prec@5 82.812 (80.748) Epoch: [40][4550/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8458 (1.8037) Prec@1 60.156 (59.032) Prec@5 79.688 (80.746) Epoch: [40][4560/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.9137 (1.8039) Prec@1 60.156 (59.031) Prec@5 78.906 (80.742) Epoch: [40][4570/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9243 (1.8039) Prec@1 57.031 (59.027) Prec@5 77.344 (80.741) Epoch: [40][4580/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.6237 (1.8040) Prec@1 63.281 (59.027) Prec@5 83.594 (80.740) Epoch: [40][4590/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9882 (1.8044) Prec@1 57.812 (59.020) Prec@5 77.344 (80.735) Epoch: [40][4600/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7965 (1.8045) Prec@1 65.625 (59.017) Prec@5 78.906 (80.732) Epoch: [40][4610/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8621 (1.8044) Prec@1 59.375 (59.017) Prec@5 80.469 (80.734) Epoch: [40][4620/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7618 (1.8045) Prec@1 62.500 (59.017) Prec@5 83.594 (80.734) Epoch: [40][4630/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.3680 (1.8044) Prec@1 71.094 (59.018) Prec@5 86.719 (80.735) Epoch: [40][4640/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9050 (1.8044) Prec@1 53.906 (59.019) Prec@5 78.125 (80.735) Epoch: [40][4650/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7923 (1.8046) Prec@1 56.250 (59.015) Prec@5 80.469 (80.733) Epoch: [40][4660/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8037 (1.8043) Prec@1 60.938 (59.022) Prec@5 81.250 (80.737) Epoch: [40][4670/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9216 (1.8045) Prec@1 58.594 (59.018) Prec@5 77.344 (80.736) Epoch: [40][4680/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.1187 (1.8045) Prec@1 56.250 (59.017) Prec@5 73.438 (80.736) Epoch: [40][4690/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5558 (1.8044) Prec@1 63.281 (59.015) Prec@5 85.938 (80.739) Epoch: [40][4700/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.9038 (1.8046) Prec@1 55.469 (59.010) Prec@5 79.688 (80.738) Epoch: [40][4710/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.6878 (1.8044) Prec@1 61.719 (59.016) Prec@5 85.156 (80.743) Epoch: [40][4720/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.1400 (1.8044) Prec@1 57.031 (59.015) Prec@5 73.438 (80.742) Epoch: [40][4730/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.1881 (1.8045) Prec@1 53.125 (59.012) Prec@5 74.219 (80.740) Epoch: [40][4740/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.8345 (1.8044) Prec@1 55.469 (59.013) Prec@5 82.031 (80.741) Epoch: [40][4750/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.3119 (1.8044) Prec@1 67.969 (59.013) Prec@5 87.500 (80.740) /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][4760/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7281 (1.8044) Prec@1 62.500 (59.015) Prec@5 82.031 (80.738) Epoch: [40][4770/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0046 (1.8045) Prec@1 52.344 (59.012) Prec@5 78.125 (80.737) Epoch: [40][4780/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.8272 (1.8044) Prec@1 60.156 (59.014) Prec@5 80.469 (80.737) Epoch: [40][4790/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8002 (1.8043) Prec@1 60.938 (59.021) Prec@5 78.125 (80.738) Epoch: [40][4800/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.5905 (1.8042) Prec@1 60.156 (59.022) Prec@5 85.938 (80.740) Epoch: [40][4810/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.7732 (1.8041) Prec@1 61.719 (59.022) Prec@5 79.688 (80.741) Epoch: [40][4820/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6855 (1.8044) Prec@1 58.594 (59.015) Prec@5 86.719 (80.736) Epoch: [40][4830/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.2566 (1.8044) Prec@1 55.469 (59.016) Prec@5 72.656 (80.737) Epoch: [40][4840/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8283 (1.8045) Prec@1 59.375 (59.016) Prec@5 82.031 (80.736) Epoch: [40][4850/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7618 (1.8045) Prec@1 58.594 (59.013) Prec@5 81.250 (80.735) Epoch: [40][4860/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7112 (1.8046) Prec@1 61.719 (59.012) Prec@5 84.375 (80.734) Epoch: [40][4870/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8190 (1.8047) Prec@1 57.812 (59.009) Prec@5 80.469 (80.732) Epoch: [40][4880/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8239 (1.8047) Prec@1 57.031 (59.008) Prec@5 82.031 (80.733) Epoch: [40][4890/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.7757 (1.8046) Prec@1 60.156 (59.010) Prec@5 77.344 (80.735) Epoch: [40][4900/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.5295 (1.8044) Prec@1 60.156 (59.012) Prec@5 85.938 (80.739) Epoch: [40][4910/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6006 (1.8045) Prec@1 64.844 (59.011) Prec@5 81.250 (80.737) Epoch: [40][4920/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.1078 (1.8044) Prec@1 53.906 (59.014) Prec@5 77.344 (80.739) Epoch: [40][4930/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8433 (1.8045) Prec@1 55.469 (59.011) Prec@5 81.250 (80.737) Epoch: [40][4940/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9818 (1.8045) Prec@1 55.469 (59.014) Prec@5 78.125 (80.737) Epoch: [40][4950/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6874 (1.8046) Prec@1 60.156 (59.014) Prec@5 82.812 (80.736) Epoch: [40][4960/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7746 (1.8046) Prec@1 61.719 (59.013) Prec@5 83.594 (80.737) Epoch: [40][4970/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6171 (1.8047) Prec@1 57.812 (59.015) Prec@5 84.375 (80.733) Epoch: [40][4980/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 1.8542 (1.8047) Prec@1 57.031 (59.013) Prec@5 77.344 (80.731) Epoch: [40][4990/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8679 (1.8046) Prec@1 53.906 (59.015) Prec@5 82.812 (80.732) Epoch: [40][5000/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8725 (1.8047) Prec@1 56.250 (59.012) Prec@5 79.688 (80.732) /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][5010/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8424 (1.8047) Prec@1 58.594 (59.010) Prec@5 79.688 (80.733) Epoch: [40][5020/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6315 (1.8046) Prec@1 62.500 (59.014) Prec@5 82.031 (80.734) Epoch: [40][5030/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.9311 (1.8048) Prec@1 54.688 (59.009) Prec@5 78.125 (80.730) Epoch: [40][5040/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9083 (1.8047) Prec@1 56.250 (59.010) Prec@5 79.688 (80.730) Epoch: [40][5050/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.6322 (1.8047) Prec@1 61.719 (59.011) Prec@5 82.812 (80.732) Epoch: [40][5060/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.1611 (1.8047) Prec@1 50.781 (59.010) Prec@5 73.438 (80.732) Epoch: [40][5070/10010] Time 0.310 (0.332) Data 0.001 (0.001) Loss 1.8844 (1.8045) Prec@1 56.250 (59.011) Prec@5 84.375 (80.736) Epoch: [40][5080/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8100 (1.8043) Prec@1 60.938 (59.017) Prec@5 78.125 (80.740) Epoch: [40][5090/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.0874 (1.8043) Prec@1 50.000 (59.015) Prec@5 76.562 (80.741) Epoch: [40][5100/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8962 (1.8042) Prec@1 57.812 (59.017) Prec@5 80.469 (80.744) Epoch: [40][5110/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.5079 (1.8040) Prec@1 60.938 (59.017) Prec@5 85.156 (80.746) Epoch: [40][5120/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6527 (1.8039) Prec@1 61.719 (59.022) Prec@5 82.812 (80.748) Epoch: [40][5130/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.6281 (1.8039) Prec@1 63.281 (59.023) Prec@5 80.469 (80.748) Epoch: [40][5140/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7371 (1.8040) Prec@1 58.594 (59.023) Prec@5 81.250 (80.747) Epoch: [40][5150/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8213 (1.8041) Prec@1 53.125 (59.022) Prec@5 82.031 (80.745) Epoch: [40][5160/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8366 (1.8040) Prec@1 64.844 (59.024) Prec@5 81.250 (80.747) Epoch: [40][5170/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.5915 (1.8039) Prec@1 69.531 (59.028) Prec@5 85.938 (80.751) Epoch: [40][5180/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0415 (1.8039) Prec@1 57.812 (59.028) Prec@5 75.781 (80.751) Epoch: [40][5190/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9865 (1.8042) Prec@1 58.594 (59.026) Prec@5 79.688 (80.748) Epoch: [40][5200/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8926 (1.8040) Prec@1 61.719 (59.030) Prec@5 79.688 (80.752) Epoch: [40][5210/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.1288 (1.8041) Prec@1 55.469 (59.028) Prec@5 73.438 (80.751) Epoch: [40][5220/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7017 (1.8040) Prec@1 62.500 (59.028) Prec@5 81.250 (80.750) Epoch: [40][5230/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7372 (1.8042) Prec@1 60.156 (59.026) Prec@5 80.469 (80.748) Epoch: [40][5240/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.0332 (1.8041) Prec@1 60.156 (59.028) Prec@5 75.781 (80.748) Epoch: [40][5250/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.9630 (1.8043) Prec@1 55.469 (59.023) Prec@5 78.906 (80.743) Epoch: [40][5260/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.6938 (1.8044) Prec@1 64.844 (59.025) Prec@5 82.031 (80.739) Epoch: [40][5270/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9594 (1.8044) Prec@1 57.812 (59.021) Prec@5 76.562 (80.739) Epoch: [40][5280/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.5533 (1.8045) Prec@1 61.719 (59.020) Prec@5 85.156 (80.736) Epoch: [40][5290/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8750 (1.8046) Prec@1 56.250 (59.018) Prec@5 81.250 (80.738) Epoch: [40][5300/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.9094 (1.8046) Prec@1 52.344 (59.013) Prec@5 78.125 (80.738) Epoch: [40][5310/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7146 (1.8047) Prec@1 61.719 (59.013) Prec@5 78.906 (80.738) Epoch: [40][5320/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.9064 (1.8048) Prec@1 52.344 (59.008) Prec@5 80.469 (80.733) Epoch: [40][5330/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8604 (1.8047) Prec@1 56.250 (59.009) Prec@5 79.688 (80.734) Epoch: [40][5340/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8988 (1.8049) Prec@1 50.781 (59.005) Prec@5 81.250 (80.732) Epoch: [40][5350/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9972 (1.8049) Prec@1 55.469 (59.004) Prec@5 76.562 (80.731) Epoch: [40][5360/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5257 (1.8048) Prec@1 65.625 (59.006) Prec@5 85.938 (80.732) Epoch: [40][5370/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.6485 (1.8048) Prec@1 64.844 (59.006) Prec@5 80.469 (80.732) Epoch: [40][5380/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9684 (1.8048) Prec@1 53.906 (59.006) Prec@5 76.562 (80.732) Epoch: [40][5390/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 2.1104 (1.8050) Prec@1 55.469 (59.002) Prec@5 75.000 (80.729) Epoch: [40][5400/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7551 (1.8052) Prec@1 61.719 (59.001) Prec@5 83.594 (80.726) Epoch: [40][5410/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6723 (1.8053) Prec@1 55.469 (59.000) Prec@5 82.812 (80.728) Epoch: [40][5420/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6988 (1.8054) Prec@1 53.906 (58.997) Prec@5 82.812 (80.725) Epoch: [40][5430/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9355 (1.8053) Prec@1 57.031 (58.996) Prec@5 79.688 (80.727) Epoch: [40][5440/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.6140 (1.8053) Prec@1 63.281 (58.996) Prec@5 82.812 (80.729) Epoch: [40][5450/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7742 (1.8050) Prec@1 60.156 (59.000) Prec@5 81.250 (80.735) Epoch: [40][5460/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.5094 (1.8050) Prec@1 70.312 (58.998) Prec@5 84.375 (80.736) Epoch: [40][5470/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9403 (1.8050) Prec@1 57.812 (58.998) Prec@5 76.562 (80.735) Epoch: [40][5480/10010] Time 0.324 (0.332) Data 0.003 (0.001) Loss 1.9290 (1.8050) Prec@1 56.250 (58.996) Prec@5 78.125 (80.733) Epoch: [40][5490/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8081 (1.8051) Prec@1 62.500 (58.995) Prec@5 75.781 (80.732) Epoch: [40][5500/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6149 (1.8052) Prec@1 64.844 (58.994) Prec@5 83.594 (80.733) Epoch: [40][5510/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.7333 (1.8051) Prec@1 61.719 (58.996) Prec@5 79.688 (80.733) Epoch: [40][5520/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.8572 (1.8050) Prec@1 64.062 (58.999) Prec@5 81.250 (80.736) Epoch: [40][5530/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0201 (1.8051) Prec@1 55.469 (58.999) Prec@5 75.781 (80.733) Epoch: [40][5540/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9345 (1.8052) Prec@1 58.594 (58.994) Prec@5 81.250 (80.731) Epoch: [40][5550/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0944 (1.8054) Prec@1 52.344 (58.989) Prec@5 73.438 (80.727) Epoch: [40][5560/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.0173 (1.8055) Prec@1 57.812 (58.987) Prec@5 75.781 (80.727) Epoch: [40][5570/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8416 (1.8055) Prec@1 59.375 (58.986) Prec@5 81.250 (80.728) Epoch: [40][5580/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8980 (1.8056) Prec@1 59.375 (58.983) Prec@5 76.562 (80.727) Epoch: [40][5590/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5237 (1.8055) Prec@1 63.281 (58.983) Prec@5 85.156 (80.729) Epoch: [40][5600/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.9093 (1.8056) Prec@1 59.375 (58.981) Prec@5 78.906 (80.729) Epoch: [40][5610/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.0119 (1.8055) Prec@1 53.125 (58.980) Prec@5 78.906 (80.731) Epoch: [40][5620/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8688 (1.8057) Prec@1 58.594 (58.979) Prec@5 76.562 (80.728) Epoch: [40][5630/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0121 (1.8058) Prec@1 53.125 (58.973) Prec@5 74.219 (80.726) Epoch: [40][5640/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.5857 (1.8057) Prec@1 57.812 (58.976) Prec@5 84.375 (80.729) Epoch: [40][5650/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7587 (1.8056) Prec@1 58.594 (58.977) Prec@5 82.031 (80.730) Epoch: [40][5660/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6898 (1.8058) Prec@1 57.812 (58.974) Prec@5 85.156 (80.727) Epoch: [40][5670/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8950 (1.8058) Prec@1 54.688 (58.973) Prec@5 76.562 (80.725) Epoch: [40][5680/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7111 (1.8058) Prec@1 64.844 (58.974) Prec@5 84.375 (80.727) Epoch: [40][5690/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7420 (1.8059) Prec@1 57.031 (58.973) Prec@5 83.594 (80.728) Epoch: [40][5700/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7253 (1.8058) Prec@1 60.938 (58.975) Prec@5 84.375 (80.728) Epoch: [40][5710/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6974 (1.8057) Prec@1 59.375 (58.976) Prec@5 82.812 (80.731) Epoch: [40][5720/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0405 (1.8056) Prec@1 53.125 (58.979) Prec@5 78.125 (80.733) Epoch: [40][5730/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7354 (1.8056) Prec@1 57.031 (58.978) Prec@5 82.031 (80.733) Epoch: [40][5740/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.0447 (1.8057) Prec@1 57.812 (58.976) Prec@5 76.562 (80.732) Epoch: [40][5750/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8418 (1.8057) Prec@1 54.688 (58.975) Prec@5 79.688 (80.733) Epoch: [40][5760/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8466 (1.8057) Prec@1 52.344 (58.975) Prec@5 76.562 (80.731) Epoch: [40][5770/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7352 (1.8058) Prec@1 61.719 (58.974) Prec@5 83.594 (80.729) Epoch: [40][5780/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9107 (1.8059) Prec@1 50.781 (58.973) Prec@5 80.469 (80.730) Epoch: [40][5790/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8121 (1.8058) Prec@1 57.812 (58.974) Prec@5 78.906 (80.729) Epoch: [40][5800/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.5405 (1.8059) Prec@1 65.625 (58.974) Prec@5 83.594 (80.729) Epoch: [40][5810/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9113 (1.8059) Prec@1 58.594 (58.973) Prec@5 77.344 (80.727) Epoch: [40][5820/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7292 (1.8059) Prec@1 60.156 (58.972) Prec@5 81.250 (80.725) Epoch: [40][5830/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0788 (1.8059) Prec@1 48.438 (58.973) Prec@5 76.562 (80.725) Epoch: [40][5840/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.2148 (1.8060) Prec@1 51.562 (58.974) Prec@5 75.000 (80.723) Epoch: [40][5850/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9793 (1.8059) Prec@1 53.125 (58.976) Prec@5 81.250 (80.725) Epoch: [40][5860/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8250 (1.8060) Prec@1 55.469 (58.975) Prec@5 75.000 (80.724) Epoch: [40][5870/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8321 (1.8059) Prec@1 53.906 (58.976) Prec@5 81.250 (80.724) Epoch: [40][5880/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7956 (1.8058) Prec@1 61.719 (58.978) Prec@5 81.250 (80.725) Epoch: [40][5890/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.2288 (1.8059) Prec@1 54.688 (58.976) Prec@5 73.438 (80.723) Epoch: [40][5900/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.5100 (1.8059) Prec@1 63.281 (58.975) Prec@5 84.375 (80.723) Epoch: [40][5910/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.4758 (1.8058) Prec@1 66.406 (58.975) Prec@5 86.719 (80.725) Epoch: [40][5920/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8940 (1.8060) Prec@1 57.812 (58.976) Prec@5 82.812 (80.723) Epoch: [40][5930/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0157 (1.8060) Prec@1 60.156 (58.978) Prec@5 74.219 (80.722) Epoch: [40][5940/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9274 (1.8060) Prec@1 60.156 (58.977) Prec@5 81.250 (80.722) Epoch: [40][5950/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.4551 (1.8060) Prec@1 64.844 (58.975) Prec@5 87.500 (80.723) Epoch: [40][5960/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.4492 (1.8062) Prec@1 64.844 (58.972) Prec@5 87.500 (80.720) Epoch: [40][5970/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7063 (1.8063) Prec@1 60.156 (58.971) Prec@5 83.594 (80.718) Epoch: [40][5980/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8412 (1.8063) Prec@1 55.469 (58.969) Prec@5 79.688 (80.718) Epoch: [40][5990/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8894 (1.8063) Prec@1 59.375 (58.969) Prec@5 82.031 (80.722) Epoch: [40][6000/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.5928 (1.8063) Prec@1 58.594 (58.967) Prec@5 84.375 (80.724) Epoch: [40][6010/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6273 (1.8064) Prec@1 66.406 (58.966) Prec@5 84.375 (80.724) Epoch: [40][6020/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8359 (1.8064) Prec@1 60.938 (58.965) Prec@5 81.250 (80.723) Epoch: [40][6030/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6784 (1.8064) Prec@1 61.719 (58.966) Prec@5 82.812 (80.725) Epoch: [40][6040/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.0459 (1.8064) Prec@1 50.781 (58.963) Prec@5 78.125 (80.725) Epoch: [40][6050/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6189 (1.8063) Prec@1 60.938 (58.965) Prec@5 84.375 (80.728) Epoch: [40][6060/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.4136 (1.8063) Prec@1 64.844 (58.965) Prec@5 89.062 (80.728) Epoch: [40][6070/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9330 (1.8065) Prec@1 50.000 (58.962) Prec@5 82.031 (80.725) Epoch: [40][6080/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.9451 (1.8064) Prec@1 59.375 (58.965) Prec@5 78.906 (80.726) Epoch: [40][6090/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9588 (1.8065) Prec@1 57.031 (58.962) Prec@5 81.250 (80.725) Epoch: [40][6100/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 1.6529 (1.8065) Prec@1 61.719 (58.961) Prec@5 83.594 (80.725) Epoch: [40][6110/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6734 (1.8065) Prec@1 56.250 (58.962) Prec@5 84.375 (80.726) Epoch: [40][6120/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.0394 (1.8065) Prec@1 59.375 (58.962) Prec@5 77.344 (80.725) Epoch: [40][6130/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6161 (1.8066) Prec@1 63.281 (58.961) Prec@5 86.719 (80.723) Epoch: [40][6140/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0768 (1.8067) Prec@1 54.688 (58.958) Prec@5 79.688 (80.723) Epoch: [40][6150/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.1210 (1.8067) Prec@1 55.469 (58.960) Prec@5 71.875 (80.721) Epoch: [40][6160/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8226 (1.8068) Prec@1 61.719 (58.959) Prec@5 79.688 (80.720) Epoch: [40][6170/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9184 (1.8068) Prec@1 60.938 (58.963) Prec@5 75.000 (80.721) Epoch: [40][6180/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 1.9415 (1.8068) Prec@1 57.812 (58.962) Prec@5 79.688 (80.719) Epoch: [40][6190/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7197 (1.8069) Prec@1 61.719 (58.960) Prec@5 82.031 (80.717) Epoch: [40][6200/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8799 (1.8069) Prec@1 59.375 (58.960) Prec@5 74.219 (80.716) Epoch: [40][6210/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8754 (1.8069) Prec@1 57.812 (58.960) Prec@5 77.344 (80.715) Epoch: [40][6220/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8042 (1.8069) Prec@1 56.250 (58.961) Prec@5 85.156 (80.716) Epoch: [40][6230/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8806 (1.8068) Prec@1 57.031 (58.963) Prec@5 81.250 (80.718) Epoch: [40][6240/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.5339 (1.8068) Prec@1 64.062 (58.963) Prec@5 84.375 (80.717) Epoch: [40][6250/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0043 (1.8069) Prec@1 57.031 (58.961) Prec@5 78.125 (80.716) Epoch: [40][6260/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8847 (1.8071) Prec@1 53.906 (58.957) Prec@5 80.469 (80.712) Epoch: [40][6270/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9766 (1.8071) Prec@1 60.938 (58.957) Prec@5 78.906 (80.710) Epoch: [40][6280/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9154 (1.8071) Prec@1 57.031 (58.957) Prec@5 76.562 (80.708) Epoch: [40][6290/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7608 (1.8071) Prec@1 61.719 (58.957) Prec@5 78.906 (80.708) Epoch: [40][6300/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.9242 (1.8070) Prec@1 53.906 (58.959) Prec@5 75.781 (80.708) Epoch: [40][6310/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7702 (1.8069) Prec@1 57.031 (58.960) Prec@5 80.469 (80.708) Epoch: [40][6320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5632 (1.8070) Prec@1 67.969 (58.961) Prec@5 84.375 (80.707) Epoch: [40][6330/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.4741 (1.8071) Prec@1 67.969 (58.958) Prec@5 85.156 (80.706) Epoch: [40][6340/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7044 (1.8070) Prec@1 58.594 (58.958) Prec@5 82.812 (80.707) Epoch: [40][6350/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9231 (1.8071) Prec@1 58.594 (58.957) Prec@5 75.781 (80.707) Epoch: [40][6360/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9464 (1.8069) Prec@1 59.375 (58.958) Prec@5 80.469 (80.709) Epoch: [40][6370/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8002 (1.8070) Prec@1 58.594 (58.957) Prec@5 83.594 (80.709) Epoch: [40][6380/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6839 (1.8070) Prec@1 57.031 (58.954) Prec@5 82.812 (80.709) Epoch: [40][6390/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9405 (1.8071) Prec@1 57.031 (58.952) Prec@5 78.125 (80.708) Epoch: [40][6400/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7532 (1.8073) Prec@1 60.938 (58.946) Prec@5 79.688 (80.705) Epoch: [40][6410/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8558 (1.8073) Prec@1 56.250 (58.946) Prec@5 80.469 (80.704) Epoch: [40][6420/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9739 (1.8073) Prec@1 57.812 (58.945) Prec@5 77.344 (80.704) Epoch: [40][6430/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7755 (1.8072) Prec@1 60.938 (58.947) Prec@5 83.594 (80.705) Epoch: [40][6440/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.1277 (1.8074) Prec@1 52.344 (58.946) Prec@5 72.656 (80.701) Epoch: [40][6450/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7242 (1.8073) Prec@1 58.594 (58.947) Prec@5 81.250 (80.703) Epoch: [40][6460/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.6972 (1.8074) Prec@1 59.375 (58.945) Prec@5 80.469 (80.702) Epoch: [40][6470/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1140 (1.8074) Prec@1 55.469 (58.945) Prec@5 76.562 (80.702) Epoch: [40][6480/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0138 (1.8074) Prec@1 56.250 (58.946) Prec@5 78.906 (80.702) Epoch: [40][6490/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6732 (1.8073) Prec@1 59.375 (58.950) Prec@5 82.812 (80.702) Epoch: [40][6500/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.1632 (1.8074) Prec@1 52.344 (58.948) Prec@5 75.781 (80.700) Epoch: [40][6510/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8665 (1.8075) Prec@1 55.469 (58.947) Prec@5 81.250 (80.700) Epoch: [40][6520/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0082 (1.8076) Prec@1 53.125 (58.944) Prec@5 78.125 (80.699) Epoch: [40][6530/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7606 (1.8075) Prec@1 63.281 (58.946) Prec@5 78.906 (80.699) Epoch: [40][6540/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9346 (1.8074) Prec@1 53.906 (58.944) Prec@5 78.906 (80.699) Epoch: [40][6550/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8790 (1.8075) Prec@1 61.719 (58.944) Prec@5 78.125 (80.698) Epoch: [40][6560/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8105 (1.8075) Prec@1 57.812 (58.940) Prec@5 79.688 (80.697) Epoch: [40][6570/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7921 (1.8074) Prec@1 57.812 (58.943) Prec@5 82.812 (80.699) Epoch: [40][6580/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8331 (1.8074) Prec@1 59.375 (58.942) Prec@5 80.469 (80.698) Epoch: [40][6590/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6425 (1.8075) Prec@1 63.281 (58.940) Prec@5 82.031 (80.698) Epoch: [40][6600/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8465 (1.8076) Prec@1 57.812 (58.935) Prec@5 78.906 (80.697) Epoch: [40][6610/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0912 (1.8078) Prec@1 56.250 (58.934) Prec@5 78.125 (80.692) Epoch: [40][6620/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0656 (1.8078) Prec@1 51.562 (58.935) Prec@5 76.562 (80.691) Epoch: [40][6630/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0409 (1.8079) Prec@1 55.469 (58.932) Prec@5 78.125 (80.688) Epoch: [40][6640/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6417 (1.8079) Prec@1 64.062 (58.932) Prec@5 81.250 (80.689) Epoch: [40][6650/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8906 (1.8079) Prec@1 58.594 (58.931) Prec@5 85.156 (80.690) Epoch: [40][6660/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6541 (1.8078) Prec@1 59.375 (58.934) Prec@5 79.688 (80.693) Epoch: [40][6670/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7776 (1.8078) Prec@1 56.250 (58.933) Prec@5 82.812 (80.695) Epoch: [40][6680/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9843 (1.8080) Prec@1 63.281 (58.930) Prec@5 75.781 (80.690) Epoch: [40][6690/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.8868 (1.8080) Prec@1 63.281 (58.929) Prec@5 79.688 (80.690) Epoch: [40][6700/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6119 (1.8080) Prec@1 62.500 (58.929) Prec@5 84.375 (80.691) Epoch: [40][6710/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.3775 (1.8079) Prec@1 68.750 (58.930) Prec@5 88.281 (80.693) Epoch: [40][6720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5501 (1.8078) Prec@1 67.188 (58.934) Prec@5 84.375 (80.695) Epoch: [40][6730/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8074 (1.8078) Prec@1 57.812 (58.934) Prec@5 82.031 (80.694) Epoch: [40][6740/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7538 (1.8078) Prec@1 56.250 (58.933) Prec@5 80.469 (80.695) Epoch: [40][6750/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7003 (1.8079) Prec@1 58.594 (58.932) Prec@5 83.594 (80.695) Epoch: [40][6760/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7746 (1.8080) Prec@1 54.688 (58.930) Prec@5 82.812 (80.694) Epoch: [40][6770/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1016 (1.8081) Prec@1 50.781 (58.927) Prec@5 75.000 (80.691) Epoch: [40][6780/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.1401 (1.8083) Prec@1 54.688 (58.926) Prec@5 78.906 (80.689) Epoch: [40][6790/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8510 (1.8084) Prec@1 63.281 (58.926) Prec@5 82.812 (80.689) Epoch: [40][6800/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7008 (1.8083) Prec@1 64.062 (58.929) Prec@5 79.688 (80.691) Epoch: [40][6810/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6195 (1.8083) Prec@1 61.719 (58.926) Prec@5 84.375 (80.691) Epoch: [40][6820/10010] Time 0.351 (0.331) Data 0.001 (0.001) Loss 1.9945 (1.8084) Prec@1 58.594 (58.924) Prec@5 80.469 (80.691) Epoch: [40][6830/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8504 (1.8084) Prec@1 57.031 (58.925) Prec@5 78.125 (80.689) Epoch: [40][6840/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.6568 (1.8085) Prec@1 65.625 (58.925) Prec@5 79.688 (80.688) Epoch: [40][6850/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7860 (1.8083) Prec@1 61.719 (58.929) Prec@5 82.031 (80.692) Epoch: [40][6860/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9667 (1.8084) Prec@1 56.250 (58.926) Prec@5 77.344 (80.691) Epoch: [40][6870/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6897 (1.8083) Prec@1 64.062 (58.926) Prec@5 79.688 (80.692) Epoch: [40][6880/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7326 (1.8083) Prec@1 63.281 (58.925) Prec@5 80.469 (80.691) Epoch: [40][6890/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9813 (1.8084) Prec@1 59.375 (58.924) Prec@5 78.125 (80.690) Epoch: [40][6900/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8252 (1.8084) Prec@1 56.250 (58.924) Prec@5 81.250 (80.691) Epoch: [40][6910/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9284 (1.8085) Prec@1 54.688 (58.922) Prec@5 77.344 (80.690) Epoch: [40][6920/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9330 (1.8086) Prec@1 55.469 (58.923) Prec@5 78.906 (80.689) Epoch: [40][6930/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8718 (1.8087) Prec@1 55.469 (58.918) Prec@5 78.125 (80.687) Epoch: [40][6940/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8995 (1.8087) Prec@1 57.031 (58.918) Prec@5 75.000 (80.686) Epoch: [40][6950/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7077 (1.8087) Prec@1 61.719 (58.918) Prec@5 80.469 (80.685) Epoch: [40][6960/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7612 (1.8087) Prec@1 57.812 (58.920) Prec@5 80.469 (80.685) Epoch: [40][6970/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.4692 (1.8086) Prec@1 64.062 (58.920) Prec@5 85.938 (80.686) Epoch: [40][6980/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8486 (1.8087) Prec@1 54.688 (58.917) Prec@5 81.250 (80.685) Epoch: [40][6990/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9644 (1.8087) Prec@1 57.031 (58.917) Prec@5 77.344 (80.686) Epoch: [40][7000/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1555 (1.8087) Prec@1 53.906 (58.917) Prec@5 76.562 (80.685) Epoch: [40][7010/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1210 (1.8087) Prec@1 56.250 (58.917) Prec@5 78.906 (80.686) Epoch: [40][7020/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9439 (1.8087) Prec@1 57.812 (58.920) Prec@5 77.344 (80.688) Epoch: [40][7030/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0326 (1.8088) Prec@1 51.562 (58.918) Prec@5 78.125 (80.686) Epoch: [40][7040/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7361 (1.8088) Prec@1 62.500 (58.919) Prec@5 82.031 (80.687) Epoch: [40][7050/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8332 (1.8087) Prec@1 60.156 (58.920) Prec@5 82.812 (80.687) Epoch: [40][7060/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.2446 (1.8087) Prec@1 51.562 (58.922) Prec@5 72.656 (80.688) Epoch: [40][7070/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8018 (1.8087) Prec@1 60.156 (58.922) Prec@5 81.250 (80.690) Epoch: [40][7080/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9248 (1.8088) Prec@1 53.906 (58.920) Prec@5 78.125 (80.687) Epoch: [40][7090/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6351 (1.8087) Prec@1 56.250 (58.922) Prec@5 85.156 (80.687) Epoch: [40][7100/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4560 (1.8086) Prec@1 66.406 (58.923) Prec@5 83.594 (80.688) Epoch: [40][7110/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9530 (1.8085) Prec@1 54.688 (58.925) Prec@5 78.906 (80.689) Epoch: [40][7120/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5693 (1.8085) Prec@1 62.500 (58.927) Prec@5 84.375 (80.689) Epoch: [40][7130/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7791 (1.8086) Prec@1 60.156 (58.925) Prec@5 82.812 (80.687) Epoch: [40][7140/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9855 (1.8087) Prec@1 50.781 (58.924) Prec@5 79.688 (80.684) Epoch: [40][7150/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9288 (1.8088) Prec@1 57.031 (58.921) Prec@5 82.031 (80.685) Epoch: [40][7160/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8782 (1.8087) Prec@1 55.469 (58.921) Prec@5 85.156 (80.687) Epoch: [40][7170/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8845 (1.8087) Prec@1 57.031 (58.921) Prec@5 81.250 (80.690) Epoch: [40][7180/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6977 (1.8086) Prec@1 57.812 (58.920) Prec@5 81.250 (80.690) Epoch: [40][7190/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7630 (1.8086) Prec@1 62.500 (58.922) Prec@5 84.375 (80.691) Epoch: [40][7200/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8978 (1.8085) Prec@1 53.125 (58.923) Prec@5 80.469 (80.693) Epoch: [40][7210/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.1070 (1.8087) Prec@1 52.344 (58.918) Prec@5 71.094 (80.691) Epoch: [40][7220/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5842 (1.8087) Prec@1 63.281 (58.918) Prec@5 83.594 (80.693) Epoch: [40][7230/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5067 (1.8087) Prec@1 69.531 (58.918) Prec@5 84.375 (80.694) Epoch: [40][7240/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.4867 (1.8085) Prec@1 64.062 (58.921) Prec@5 85.938 (80.698) Epoch: [40][7250/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9685 (1.8084) Prec@1 56.250 (58.924) Prec@5 78.125 (80.700) Epoch: [40][7260/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5671 (1.8085) Prec@1 64.062 (58.922) Prec@5 84.375 (80.699) Epoch: [40][7270/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8994 (1.8085) Prec@1 52.344 (58.919) Prec@5 81.250 (80.699) Epoch: [40][7280/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5509 (1.8086) Prec@1 64.062 (58.917) Prec@5 85.938 (80.697) Epoch: [40][7290/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9004 (1.8088) Prec@1 57.812 (58.914) Prec@5 78.125 (80.694) Epoch: [40][7300/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7094 (1.8087) Prec@1 60.156 (58.915) Prec@5 84.375 (80.697) Epoch: [40][7310/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7466 (1.8086) Prec@1 65.625 (58.915) Prec@5 82.812 (80.699) Epoch: [40][7320/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7784 (1.8086) Prec@1 58.594 (58.916) Prec@5 81.250 (80.699) Epoch: [40][7330/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8514 (1.8086) Prec@1 60.938 (58.917) Prec@5 78.125 (80.699) Epoch: [40][7340/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7199 (1.8087) Prec@1 61.719 (58.916) Prec@5 82.812 (80.700) Epoch: [40][7350/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8603 (1.8086) Prec@1 52.344 (58.917) Prec@5 79.688 (80.702) Epoch: [40][7360/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.1408 (1.8087) Prec@1 50.000 (58.917) Prec@5 75.000 (80.702) Epoch: [40][7370/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5893 (1.8086) Prec@1 64.844 (58.918) Prec@5 85.156 (80.705) Epoch: [40][7380/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8359 (1.8086) Prec@1 56.250 (58.919) Prec@5 78.125 (80.706) Epoch: [40][7390/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.2877 (1.8086) Prec@1 49.219 (58.920) Prec@5 71.875 (80.706) Epoch: [40][7400/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0840 (1.8087) Prec@1 50.000 (58.917) Prec@5 76.562 (80.703) Epoch: [40][7410/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8574 (1.8087) Prec@1 58.594 (58.915) Prec@5 78.906 (80.702) Epoch: [40][7420/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6340 (1.8086) Prec@1 63.281 (58.919) Prec@5 88.281 (80.705) Epoch: [40][7430/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7123 (1.8086) Prec@1 57.031 (58.917) Prec@5 82.031 (80.704) Epoch: [40][7440/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7601 (1.8087) Prec@1 63.281 (58.917) Prec@5 82.031 (80.703) Epoch: [40][7450/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6819 (1.8087) Prec@1 60.938 (58.914) Prec@5 82.812 (80.702) Epoch: [40][7460/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8221 (1.8087) Prec@1 67.969 (58.915) Prec@5 82.812 (80.701) Epoch: [40][7470/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0311 (1.8088) Prec@1 57.031 (58.915) Prec@5 77.344 (80.701) Epoch: [40][7480/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0075 (1.8090) Prec@1 53.906 (58.912) Prec@5 81.250 (80.698) Epoch: [40][7490/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9572 (1.8089) Prec@1 57.812 (58.912) Prec@5 79.688 (80.700) Epoch: [40][7500/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8781 (1.8091) Prec@1 54.688 (58.910) Prec@5 79.688 (80.697) Epoch: [40][7510/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8174 (1.8091) Prec@1 57.031 (58.908) Prec@5 80.469 (80.697) Epoch: [40][7520/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9642 (1.8091) Prec@1 60.156 (58.906) Prec@5 79.688 (80.698) Epoch: [40][7530/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1126 (1.8093) Prec@1 57.031 (58.902) Prec@5 75.000 (80.694) Epoch: [40][7540/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.4322 (1.8093) Prec@1 61.719 (58.902) Prec@5 85.156 (80.694) Epoch: [40][7550/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8018 (1.8092) Prec@1 62.500 (58.906) Prec@5 79.688 (80.696) Epoch: [40][7560/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7051 (1.8092) Prec@1 60.938 (58.906) Prec@5 82.812 (80.695) Epoch: [40][7570/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8990 (1.8093) Prec@1 58.594 (58.904) Prec@5 82.031 (80.691) Epoch: [40][7580/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9503 (1.8093) Prec@1 54.688 (58.902) Prec@5 82.812 (80.691) Epoch: [40][7590/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8629 (1.8093) Prec@1 57.812 (58.903) Prec@5 82.031 (80.692) Epoch: [40][7600/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.0680 (1.8094) Prec@1 58.594 (58.906) Prec@5 76.562 (80.690) Epoch: [40][7610/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 1.9784 (1.8093) Prec@1 60.156 (58.907) Prec@5 80.469 (80.690) Epoch: [40][7620/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8924 (1.8095) Prec@1 61.719 (58.904) Prec@5 78.125 (80.690) Epoch: [40][7630/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8081 (1.8095) Prec@1 58.594 (58.905) Prec@5 76.562 (80.688) Epoch: [40][7640/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6670 (1.8095) Prec@1 62.500 (58.906) Prec@5 84.375 (80.688) Epoch: [40][7650/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9967 (1.8096) Prec@1 55.469 (58.904) Prec@5 78.906 (80.689) Epoch: [40][7660/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2860 (1.8097) Prec@1 50.000 (58.904) Prec@5 75.000 (80.687) Epoch: [40][7670/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7834 (1.8097) Prec@1 60.156 (58.903) Prec@5 82.031 (80.687) /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][7680/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7097 (1.8097) Prec@1 60.938 (58.902) Prec@5 82.031 (80.686) Epoch: [40][7690/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6968 (1.8098) Prec@1 64.844 (58.902) Prec@5 84.375 (80.686) Epoch: [40][7700/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9119 (1.8098) Prec@1 54.688 (58.899) Prec@5 80.469 (80.686) Epoch: [40][7710/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.3898 (1.8098) Prec@1 71.094 (58.898) Prec@5 86.719 (80.686) Epoch: [40][7720/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.4368 (1.8099) Prec@1 67.188 (58.899) Prec@5 85.938 (80.686) Epoch: [40][7730/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7317 (1.8099) Prec@1 60.938 (58.898) Prec@5 83.594 (80.685) Epoch: [40][7740/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9216 (1.8099) Prec@1 61.719 (58.898) Prec@5 79.688 (80.685) Epoch: [40][7750/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9123 (1.8098) Prec@1 55.469 (58.902) Prec@5 77.344 (80.686) Epoch: [40][7760/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.4866 (1.8098) Prec@1 61.719 (58.902) Prec@5 85.156 (80.688) Epoch: [40][7770/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0013 (1.8098) Prec@1 57.031 (58.901) Prec@5 80.469 (80.687) Epoch: [40][7780/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9227 (1.8099) Prec@1 60.156 (58.899) Prec@5 76.562 (80.686) Epoch: [40][7790/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7405 (1.8099) Prec@1 60.156 (58.899) Prec@5 78.125 (80.686) Epoch: [40][7800/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6848 (1.8099) Prec@1 60.156 (58.900) Prec@5 82.031 (80.685) Epoch: [40][7810/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.4420 (1.8098) Prec@1 63.281 (58.905) Prec@5 82.031 (80.686) Epoch: [40][7820/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.1867 (1.8098) Prec@1 50.781 (58.905) Prec@5 72.656 (80.685) Epoch: [40][7830/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6972 (1.8099) Prec@1 56.250 (58.903) Prec@5 84.375 (80.685) Epoch: [40][7840/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9556 (1.8099) Prec@1 54.688 (58.901) Prec@5 78.906 (80.685) Epoch: [40][7850/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7211 (1.8098) Prec@1 62.500 (58.906) Prec@5 80.469 (80.687) Epoch: [40][7860/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8555 (1.8099) Prec@1 64.062 (58.903) Prec@5 79.688 (80.686) Epoch: [40][7870/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7696 (1.8100) Prec@1 60.156 (58.899) Prec@5 81.250 (80.684) Epoch: [40][7880/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 1.9634 (1.8100) Prec@1 52.344 (58.898) Prec@5 77.344 (80.683) Epoch: [40][7890/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.3901 (1.8099) Prec@1 61.719 (58.900) Prec@5 87.500 (80.683) Epoch: [40][7900/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6254 (1.8099) Prec@1 64.844 (58.899) Prec@5 87.500 (80.685) Epoch: [40][7910/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8481 (1.8099) Prec@1 59.375 (58.899) Prec@5 78.906 (80.682) Epoch: [40][7920/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6020 (1.8098) Prec@1 64.844 (58.902) Prec@5 85.938 (80.684) Epoch: [40][7930/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9933 (1.8098) Prec@1 53.125 (58.903) Prec@5 75.000 (80.684) Epoch: [40][7940/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6421 (1.8099) Prec@1 63.281 (58.903) Prec@5 79.688 (80.683) Epoch: [40][7950/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.5369 (1.8099) Prec@1 67.969 (58.903) Prec@5 85.156 (80.681) Epoch: [40][7960/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6576 (1.8099) Prec@1 59.375 (58.903) Prec@5 82.812 (80.683) Epoch: [40][7970/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0097 (1.8099) Prec@1 53.125 (58.904) Prec@5 77.344 (80.682) Epoch: [40][7980/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9329 (1.8099) Prec@1 58.594 (58.905) Prec@5 77.344 (80.682) Epoch: [40][7990/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7395 (1.8099) Prec@1 63.281 (58.905) Prec@5 82.031 (80.681) Epoch: [40][8000/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6904 (1.8099) Prec@1 61.719 (58.907) Prec@5 80.469 (80.684) Epoch: [40][8010/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8774 (1.8100) Prec@1 57.031 (58.904) Prec@5 80.469 (80.684) Epoch: [40][8020/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7566 (1.8099) Prec@1 55.469 (58.904) Prec@5 82.812 (80.685) Epoch: [40][8030/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6611 (1.8100) Prec@1 55.469 (58.902) Prec@5 81.250 (80.685) Epoch: [40][8040/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9011 (1.8100) Prec@1 60.938 (58.901) Prec@5 76.562 (80.684) Epoch: [40][8050/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8715 (1.8099) Prec@1 58.594 (58.904) Prec@5 81.250 (80.685) Epoch: [40][8060/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.1924 (1.8098) Prec@1 71.875 (58.903) Prec@5 90.625 (80.686) Epoch: [40][8070/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0233 (1.8098) Prec@1 53.906 (58.902) Prec@5 78.906 (80.687) Epoch: [40][8080/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6430 (1.8097) Prec@1 59.375 (58.905) Prec@5 82.031 (80.688) Epoch: [40][8090/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6548 (1.8097) Prec@1 56.250 (58.906) Prec@5 83.594 (80.689) Epoch: [40][8100/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.6589 (1.8096) Prec@1 62.500 (58.908) Prec@5 82.812 (80.693) Epoch: [40][8110/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7732 (1.8095) Prec@1 57.812 (58.909) Prec@5 78.125 (80.693) Epoch: [40][8120/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6946 (1.8096) Prec@1 60.938 (58.909) Prec@5 84.375 (80.693) Epoch: [40][8130/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8331 (1.8096) Prec@1 57.031 (58.906) Prec@5 78.906 (80.691) Epoch: [40][8140/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7819 (1.8097) Prec@1 60.156 (58.906) Prec@5 79.688 (80.690) Epoch: [40][8150/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8318 (1.8096) Prec@1 59.375 (58.905) Prec@5 82.031 (80.691) Epoch: [40][8160/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8898 (1.8097) Prec@1 59.375 (58.905) Prec@5 78.906 (80.691) Epoch: [40][8170/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0298 (1.8098) Prec@1 58.594 (58.902) Prec@5 77.344 (80.688) Epoch: [40][8180/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9389 (1.8099) Prec@1 50.781 (58.899) Prec@5 80.469 (80.687) Epoch: [40][8190/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7892 (1.8101) Prec@1 58.594 (58.896) Prec@5 80.469 (80.684) Epoch: [40][8200/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9496 (1.8101) Prec@1 55.469 (58.897) Prec@5 75.781 (80.684) Epoch: [40][8210/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7022 (1.8100) Prec@1 64.062 (58.901) Prec@5 82.031 (80.687) Epoch: [40][8220/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8786 (1.8100) Prec@1 57.812 (58.901) Prec@5 79.688 (80.688) Epoch: [40][8230/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.9523 (1.8101) Prec@1 55.469 (58.898) Prec@5 79.688 (80.685) Epoch: [40][8240/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1578 (1.8102) Prec@1 50.000 (58.896) Prec@5 75.781 (80.684) Epoch: [40][8250/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0425 (1.8103) Prec@1 54.688 (58.895) Prec@5 82.031 (80.682) Epoch: [40][8260/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5905 (1.8103) Prec@1 61.719 (58.895) Prec@5 83.594 (80.682) Epoch: [40][8270/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6938 (1.8104) Prec@1 64.062 (58.896) Prec@5 82.812 (80.681) Epoch: [40][8280/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6890 (1.8103) Prec@1 57.812 (58.897) Prec@5 82.031 (80.681) Epoch: [40][8290/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.1300 (1.8104) Prec@1 54.688 (58.898) Prec@5 74.219 (80.680) Epoch: [40][8300/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8762 (1.8104) Prec@1 53.906 (58.897) Prec@5 75.781 (80.680) Epoch: [40][8310/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.2324 (1.8104) Prec@1 54.688 (58.897) Prec@5 75.000 (80.680) /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][8320/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.6389 (1.8104) Prec@1 61.719 (58.894) Prec@5 86.719 (80.680) Epoch: [40][8330/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1058 (1.8105) Prec@1 51.562 (58.892) Prec@5 75.781 (80.679) Epoch: [40][8340/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9419 (1.8106) Prec@1 58.594 (58.891) Prec@5 77.344 (80.678) Epoch: [40][8350/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1351 (1.8106) Prec@1 54.688 (58.889) Prec@5 79.688 (80.677) Epoch: [40][8360/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5029 (1.8106) Prec@1 67.188 (58.891) Prec@5 89.062 (80.676) Epoch: [40][8370/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0519 (1.8106) Prec@1 57.812 (58.891) Prec@5 78.906 (80.676) Epoch: [40][8380/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6866 (1.8106) Prec@1 60.156 (58.891) Prec@5 78.906 (80.675) Epoch: [40][8390/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8783 (1.8105) Prec@1 54.688 (58.894) Prec@5 78.906 (80.677) Epoch: [40][8400/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9420 (1.8107) Prec@1 59.375 (58.893) Prec@5 78.125 (80.675) Epoch: [40][8410/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6838 (1.8106) Prec@1 67.188 (58.896) Prec@5 83.594 (80.677) Epoch: [40][8420/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9367 (1.8106) Prec@1 61.719 (58.897) Prec@5 80.469 (80.676) Epoch: [40][8430/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8547 (1.8105) Prec@1 60.156 (58.899) Prec@5 78.125 (80.675) Epoch: [40][8440/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5784 (1.8105) Prec@1 61.719 (58.898) Prec@5 85.938 (80.676) Epoch: [40][8450/10010] Time 0.325 (0.331) Data 0.002 (0.001) Loss 1.8671 (1.8105) Prec@1 55.469 (58.898) Prec@5 80.469 (80.677) Epoch: [40][8460/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9797 (1.8105) Prec@1 56.250 (58.898) Prec@5 78.125 (80.675) Epoch: [40][8470/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0849 (1.8105) Prec@1 53.906 (58.897) Prec@5 77.344 (80.677) Epoch: [40][8480/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7703 (1.8105) Prec@1 55.469 (58.896) Prec@5 83.594 (80.677) Epoch: [40][8490/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.6978 (1.8105) Prec@1 57.812 (58.898) Prec@5 82.812 (80.678) Epoch: [40][8500/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6877 (1.8105) Prec@1 64.062 (58.899) Prec@5 82.031 (80.679) Epoch: [40][8510/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8244 (1.8106) Prec@1 55.469 (58.898) Prec@5 81.250 (80.678) Epoch: [40][8520/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8481 (1.8106) Prec@1 58.594 (58.898) Prec@5 79.688 (80.677) Epoch: [40][8530/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9084 (1.8107) Prec@1 58.594 (58.897) Prec@5 81.250 (80.676) Epoch: [40][8540/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5541 (1.8108) Prec@1 68.750 (58.898) Prec@5 83.594 (80.676) Epoch: [40][8550/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8914 (1.8109) Prec@1 59.375 (58.895) Prec@5 78.125 (80.673) Epoch: [40][8560/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8638 (1.8108) Prec@1 60.156 (58.896) Prec@5 78.125 (80.673) Epoch: [40][8570/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9102 (1.8108) Prec@1 62.500 (58.897) Prec@5 82.031 (80.674) Epoch: [40][8580/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8169 (1.8108) Prec@1 58.594 (58.897) Prec@5 78.906 (80.674) Epoch: [40][8590/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6210 (1.8108) Prec@1 64.844 (58.897) Prec@5 82.812 (80.674) Epoch: [40][8600/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7452 (1.8109) Prec@1 58.594 (58.898) Prec@5 81.250 (80.674) Epoch: [40][8610/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.5054 (1.8109) Prec@1 63.281 (58.899) Prec@5 84.375 (80.673) Epoch: [40][8620/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8383 (1.8110) Prec@1 56.250 (58.898) Prec@5 79.688 (80.673) Epoch: [40][8630/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3473 (1.8110) Prec@1 53.125 (58.896) Prec@5 75.781 (80.672) Epoch: [40][8640/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7460 (1.8111) Prec@1 60.156 (58.895) Prec@5 83.594 (80.671) Epoch: [40][8650/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7897 (1.8110) Prec@1 60.938 (58.897) Prec@5 78.906 (80.671) Epoch: [40][8660/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9915 (1.8110) Prec@1 58.594 (58.898) Prec@5 78.125 (80.672) Epoch: [40][8670/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5659 (1.8108) Prec@1 67.969 (58.900) Prec@5 84.375 (80.674) Epoch: [40][8680/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0071 (1.8110) Prec@1 55.469 (58.896) Prec@5 80.469 (80.673) Epoch: [40][8690/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0129 (1.8110) Prec@1 54.688 (58.894) Prec@5 79.688 (80.672) Epoch: [40][8700/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8188 (1.8111) Prec@1 55.469 (58.893) Prec@5 80.469 (80.671) Epoch: [40][8710/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9955 (1.8111) Prec@1 50.000 (58.893) Prec@5 78.906 (80.670) Epoch: [40][8720/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7263 (1.8113) Prec@1 60.156 (58.890) Prec@5 79.688 (80.668) Epoch: [40][8730/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8535 (1.8112) Prec@1 60.938 (58.892) Prec@5 82.031 (80.669) Epoch: [40][8740/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9723 (1.8112) Prec@1 57.812 (58.892) Prec@5 78.125 (80.670) Epoch: [40][8750/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7225 (1.8112) Prec@1 60.938 (58.891) Prec@5 80.469 (80.669) Epoch: [40][8760/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 2.0120 (1.8113) Prec@1 61.719 (58.892) Prec@5 77.344 (80.668) Epoch: [40][8770/10010] Time 0.324 (0.331) Data 0.003 (0.001) Loss 1.8781 (1.8113) Prec@1 58.594 (58.890) Prec@5 75.000 (80.669) Epoch: [40][8780/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6114 (1.8113) Prec@1 62.500 (58.890) Prec@5 82.812 (80.667) Epoch: [40][8790/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7858 (1.8113) Prec@1 57.812 (58.890) Prec@5 83.594 (80.667) Epoch: [40][8800/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.6578 (1.8113) Prec@1 56.250 (58.890) Prec@5 84.375 (80.667) Epoch: [40][8810/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7593 (1.8113) Prec@1 58.594 (58.891) Prec@5 77.344 (80.667) Epoch: [40][8820/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8102 (1.8114) Prec@1 55.469 (58.888) Prec@5 82.031 (80.666) Epoch: [40][8830/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.4841 (1.8115) Prec@1 64.844 (58.887) Prec@5 83.594 (80.665) Epoch: [40][8840/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8988 (1.8115) Prec@1 51.562 (58.886) Prec@5 77.344 (80.664) Epoch: [40][8850/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9827 (1.8116) Prec@1 54.688 (58.884) Prec@5 75.000 (80.663) Epoch: [40][8860/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0866 (1.8115) Prec@1 57.031 (58.886) Prec@5 78.906 (80.664) Epoch: [40][8870/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8232 (1.8115) Prec@1 59.375 (58.885) Prec@5 78.906 (80.664) Epoch: [40][8880/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.5589 (1.8116) Prec@1 66.406 (58.882) Prec@5 83.594 (80.664) Epoch: [40][8890/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8420 (1.8116) Prec@1 60.156 (58.883) Prec@5 79.688 (80.663) Epoch: [40][8900/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6761 (1.8116) Prec@1 61.719 (58.882) Prec@5 82.812 (80.661) Epoch: [40][8910/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9242 (1.8116) Prec@1 55.469 (58.883) Prec@5 80.469 (80.663) Epoch: [40][8920/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6157 (1.8117) Prec@1 62.500 (58.881) Prec@5 78.906 (80.661) Epoch: [40][8930/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9807 (1.8118) Prec@1 56.250 (58.879) Prec@5 80.469 (80.660) Epoch: [40][8940/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.8764 (1.8118) Prec@1 59.375 (58.878) Prec@5 79.688 (80.658) Epoch: [40][8950/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9189 (1.8119) Prec@1 56.250 (58.878) Prec@5 80.469 (80.657) Epoch: [40][8960/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7728 (1.8118) Prec@1 58.594 (58.879) Prec@5 82.812 (80.658) Epoch: [40][8970/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8267 (1.8118) Prec@1 57.812 (58.880) Prec@5 80.469 (80.659) Epoch: [40][8980/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8185 (1.8117) Prec@1 60.938 (58.880) Prec@5 80.469 (80.660) Epoch: [40][8990/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6639 (1.8117) Prec@1 59.375 (58.881) Prec@5 82.812 (80.662) Epoch: [40][9000/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8631 (1.8117) Prec@1 57.031 (58.879) Prec@5 77.344 (80.660) Epoch: [40][9010/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0069 (1.8117) Prec@1 51.562 (58.878) Prec@5 75.781 (80.661) Epoch: [40][9020/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.9182 (1.8117) Prec@1 56.250 (58.879) Prec@5 78.906 (80.661) Epoch: [40][9030/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7981 (1.8117) Prec@1 61.719 (58.879) Prec@5 81.250 (80.661) Epoch: [40][9040/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0767 (1.8118) Prec@1 56.250 (58.878) Prec@5 74.219 (80.661) Epoch: [40][9050/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5698 (1.8117) Prec@1 62.500 (58.879) Prec@5 85.156 (80.663) Epoch: [40][9060/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7883 (1.8118) Prec@1 55.469 (58.878) Prec@5 82.812 (80.661) Epoch: [40][9070/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1767 (1.8119) Prec@1 48.438 (58.877) Prec@5 73.438 (80.659) Epoch: [40][9080/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8241 (1.8119) Prec@1 57.812 (58.876) Prec@5 78.906 (80.659) Epoch: [40][9090/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.4916 (1.8120) Prec@1 65.625 (58.876) Prec@5 89.844 (80.659) Epoch: [40][9100/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8525 (1.8121) Prec@1 54.688 (58.874) Prec@5 81.250 (80.658) Epoch: [40][9110/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0047 (1.8121) Prec@1 54.688 (58.873) Prec@5 78.125 (80.658) Epoch: [40][9120/10010] Time 0.355 (0.331) Data 0.000 (0.001) Loss 2.0784 (1.8121) Prec@1 63.281 (58.875) Prec@5 76.562 (80.658) Epoch: [40][9130/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7739 (1.8121) Prec@1 57.812 (58.874) Prec@5 81.250 (80.658) Epoch: [40][9140/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9969 (1.8120) Prec@1 53.906 (58.874) Prec@5 77.344 (80.660) Epoch: [40][9150/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7347 (1.8120) Prec@1 60.156 (58.873) Prec@5 81.250 (80.660) Epoch: [40][9160/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.7558 (1.8120) Prec@1 59.375 (58.873) Prec@5 78.125 (80.660) Epoch: [40][9170/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1134 (1.8120) Prec@1 52.344 (58.872) Prec@5 82.031 (80.659) Epoch: [40][9180/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5242 (1.8121) Prec@1 67.188 (58.870) Prec@5 83.594 (80.657) Epoch: [40][9190/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9179 (1.8122) Prec@1 58.594 (58.870) Prec@5 80.469 (80.657) Epoch: [40][9200/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1264 (1.8122) Prec@1 54.688 (58.870) Prec@5 77.344 (80.658) Epoch: [40][9210/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9941 (1.8122) Prec@1 57.812 (58.869) Prec@5 73.438 (80.657) Epoch: [40][9220/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9781 (1.8123) Prec@1 50.781 (58.866) Prec@5 79.688 (80.656) Epoch: [40][9230/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0614 (1.8123) Prec@1 55.469 (58.864) Prec@5 75.781 (80.656) Epoch: [40][9240/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6363 (1.8124) Prec@1 57.031 (58.863) Prec@5 84.375 (80.657) Epoch: [40][9250/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9269 (1.8124) Prec@1 55.469 (58.862) Prec@5 74.219 (80.658) Epoch: [40][9260/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0637 (1.8124) Prec@1 58.594 (58.863) Prec@5 77.344 (80.659) Epoch: [40][9270/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7580 (1.8124) Prec@1 56.250 (58.863) Prec@5 82.031 (80.660) Epoch: [40][9280/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9647 (1.8125) Prec@1 50.781 (58.859) Prec@5 82.812 (80.658) Epoch: [40][9290/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8787 (1.8126) Prec@1 56.250 (58.859) Prec@5 77.344 (80.657) Epoch: [40][9300/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7617 (1.8125) Prec@1 62.500 (58.860) Prec@5 78.125 (80.656) Epoch: [40][9310/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9417 (1.8126) Prec@1 58.594 (58.858) Prec@5 80.469 (80.655) Epoch: [40][9320/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8634 (1.8126) Prec@1 59.375 (58.858) Prec@5 78.906 (80.655) Epoch: [40][9330/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6154 (1.8126) Prec@1 55.469 (58.856) Prec@5 82.812 (80.655) Epoch: [40][9340/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6361 (1.8127) Prec@1 64.844 (58.856) Prec@5 84.375 (80.655) Epoch: [40][9350/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9688 (1.8127) Prec@1 53.906 (58.853) Prec@5 82.031 (80.655) Epoch: [40][9360/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8629 (1.8128) Prec@1 53.125 (58.852) Prec@5 85.156 (80.654) Epoch: [40][9370/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9892 (1.8128) Prec@1 55.469 (58.852) Prec@5 81.250 (80.655) Epoch: [40][9380/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8561 (1.8127) Prec@1 53.125 (58.851) Prec@5 82.812 (80.657) Epoch: [40][9390/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1223 (1.8127) Prec@1 57.812 (58.852) Prec@5 75.781 (80.658) Epoch: [40][9400/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9821 (1.8127) Prec@1 57.031 (58.851) Prec@5 80.469 (80.656) Epoch: [40][9410/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6095 (1.8128) Prec@1 62.500 (58.849) Prec@5 82.031 (80.655) Epoch: [40][9420/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7912 (1.8128) Prec@1 61.719 (58.849) Prec@5 78.125 (80.654) Epoch: [40][9430/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8915 (1.8128) Prec@1 56.250 (58.851) Prec@5 79.688 (80.656) Epoch: [40][9440/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8406 (1.8127) Prec@1 57.812 (58.851) Prec@5 77.344 (80.658) Epoch: [40][9450/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8137 (1.8128) Prec@1 57.812 (58.849) Prec@5 78.906 (80.654) Epoch: [40][9460/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6975 (1.8128) Prec@1 62.500 (58.850) Prec@5 82.031 (80.655) Epoch: [40][9470/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6052 (1.8129) Prec@1 60.156 (58.851) Prec@5 86.719 (80.655) Epoch: [40][9480/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6774 (1.8129) Prec@1 57.812 (58.851) Prec@5 81.250 (80.655) Epoch: [40][9490/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8099 (1.8129) Prec@1 52.344 (58.849) Prec@5 79.688 (80.655) Epoch: [40][9500/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0059 (1.8129) Prec@1 54.688 (58.846) Prec@5 80.469 (80.655) Epoch: [40][9510/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7987 (1.8129) Prec@1 57.812 (58.846) Prec@5 78.906 (80.653) Epoch: [40][9520/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.1358 (1.8130) Prec@1 55.469 (58.845) Prec@5 75.000 (80.652) Epoch: [40][9530/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6014 (1.8129) Prec@1 60.156 (58.846) Prec@5 82.031 (80.653) Epoch: [40][9540/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8840 (1.8129) Prec@1 60.156 (58.844) Prec@5 78.125 (80.653) Epoch: [40][9550/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9112 (1.8130) Prec@1 57.812 (58.843) Prec@5 77.344 (80.653) Epoch: [40][9560/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.1930 (1.8130) Prec@1 47.656 (58.841) Prec@5 74.219 (80.653) Epoch: [40][9570/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7453 (1.8130) Prec@1 61.719 (58.842) Prec@5 79.688 (80.654) Epoch: [40][9580/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9059 (1.8130) Prec@1 60.938 (58.844) Prec@5 78.125 (80.654) Epoch: [40][9590/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5452 (1.8130) Prec@1 62.500 (58.843) Prec@5 85.938 (80.653) Epoch: [40][9600/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8029 (1.8131) Prec@1 54.688 (58.839) Prec@5 82.031 (80.652) Epoch: [40][9610/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.2649 (1.8130) Prec@1 74.219 (58.842) Prec@5 87.500 (80.654) Epoch: [40][9620/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8743 (1.8130) Prec@1 55.469 (58.842) Prec@5 82.812 (80.655) Epoch: [40][9630/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9874 (1.8130) Prec@1 53.906 (58.843) Prec@5 75.000 (80.654) Epoch: [40][9640/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8462 (1.8130) Prec@1 57.031 (58.843) Prec@5 81.250 (80.653) Epoch: [40][9650/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6617 (1.8130) Prec@1 64.062 (58.845) Prec@5 81.250 (80.654) Epoch: [40][9660/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5930 (1.8130) Prec@1 60.156 (58.844) Prec@5 85.156 (80.653) Epoch: [40][9670/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7708 (1.8131) Prec@1 57.031 (58.843) Prec@5 78.125 (80.652) Epoch: [40][9680/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.0633 (1.8130) Prec@1 51.562 (58.844) Prec@5 78.125 (80.654) Epoch: [40][9690/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8874 (1.8129) Prec@1 58.594 (58.846) Prec@5 79.688 (80.656) Epoch: [40][9700/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9759 (1.8128) Prec@1 53.906 (58.846) Prec@5 78.906 (80.657) Epoch: [40][9710/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6889 (1.8129) Prec@1 55.469 (58.844) Prec@5 83.594 (80.655) Epoch: [40][9720/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1675 (1.8130) Prec@1 50.000 (58.841) Prec@5 78.125 (80.653) Epoch: [40][9730/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9787 (1.8131) Prec@1 56.250 (58.839) Prec@5 78.906 (80.653) Epoch: [40][9740/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7618 (1.8131) Prec@1 55.469 (58.840) Prec@5 80.469 (80.652) Epoch: [40][9750/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9313 (1.8131) Prec@1 60.156 (58.840) Prec@5 78.906 (80.652) Epoch: [40][9760/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8565 (1.8131) Prec@1 53.906 (58.839) Prec@5 81.250 (80.651) Epoch: [40][9770/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8055 (1.8132) Prec@1 54.688 (58.837) Prec@5 84.375 (80.651) Epoch: [40][9780/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.1107 (1.8131) Prec@1 54.688 (58.839) Prec@5 79.688 (80.653) Epoch: [40][9790/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7831 (1.8131) Prec@1 57.812 (58.838) Prec@5 79.688 (80.651) Epoch: [40][9800/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6478 (1.8132) Prec@1 62.500 (58.836) Prec@5 86.719 (80.649) Epoch: [40][9810/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8055 (1.8131) Prec@1 60.938 (58.837) Prec@5 79.688 (80.650) Epoch: [40][9820/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9115 (1.8132) Prec@1 59.375 (58.836) Prec@5 79.688 (80.648) Epoch: [40][9830/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6523 (1.8133) Prec@1 61.719 (58.833) Prec@5 84.375 (80.648) Epoch: [40][9840/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9301 (1.8133) Prec@1 56.250 (58.831) Prec@5 82.031 (80.647) Epoch: [40][9850/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6200 (1.8135) Prec@1 64.844 (58.831) Prec@5 77.344 (80.644) Epoch: [40][9860/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9568 (1.8135) Prec@1 54.688 (58.829) Prec@5 78.906 (80.643) Epoch: [40][9870/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.2710 (1.8135) Prec@1 52.344 (58.830) Prec@5 75.781 (80.643) Epoch: [40][9880/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9010 (1.8135) Prec@1 57.812 (58.831) Prec@5 81.250 (80.643) Epoch: [40][9890/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7719 (1.8135) Prec@1 61.719 (58.831) Prec@5 81.250 (80.643) Epoch: [40][9900/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9359 (1.8135) Prec@1 57.031 (58.833) Prec@5 80.469 (80.642) Epoch: [40][9910/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.6202 (1.8136) Prec@1 63.281 (58.832) Prec@5 83.594 (80.641) Epoch: [40][9920/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6369 (1.8136) Prec@1 60.156 (58.832) Prec@5 82.031 (80.641) Epoch: [40][9930/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6787 (1.8137) Prec@1 60.938 (58.830) Prec@5 84.375 (80.640) Epoch: [40][9940/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8023 (1.8137) Prec@1 55.469 (58.829) Prec@5 79.688 (80.640) Epoch: [40][9950/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7911 (1.8137) Prec@1 62.500 (58.828) Prec@5 82.031 (80.640) Epoch: [40][9960/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7477 (1.8137) Prec@1 62.500 (58.828) Prec@5 80.469 (80.640) Epoch: [40][9970/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7443 (1.8137) Prec@1 60.938 (58.830) Prec@5 78.125 (80.639) Epoch: [40][9980/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0070 (1.8137) Prec@1 58.594 (58.828) Prec@5 75.781 (80.638) Epoch: [40][9990/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8386 (1.8137) Prec@1 60.938 (58.830) Prec@5 81.250 (80.638) Epoch: [40][10000/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8427 (1.8137) Prec@1 57.031 (58.828) Prec@5 80.469 (80.638) Test: [0/391] Time 1.603 (1.603) Loss 0.6773 (0.6773) Prec@1 85.156 (85.156) Prec@5 96.875 (96.875) Test: [10/391] Time 0.221 (0.266) Loss 1.6701 (0.8917) Prec@1 62.500 (78.551) Prec@5 85.938 (92.685) Test: [20/391] Time 0.112 (0.192) Loss 1.1934 (1.2700) Prec@1 68.750 (69.457) Prec@5 88.281 (88.058) Test: [30/391] Time 0.103 (0.164) Loss 1.9244 (1.4201) Prec@1 56.250 (64.693) Prec@5 83.594 (86.870) Test: [40/391] Time 0.103 (0.150) Loss 1.1800 (1.2677) Prec@1 76.562 (68.483) Prec@5 89.062 (88.605) Test: [50/391] Time 0.105 (0.141) Loss 0.6423 (1.3133) Prec@1 82.031 (68.015) Prec@5 96.094 (87.929) Test: [60/391] Time 0.115 (0.137) Loss 1.2307 (1.2227) Prec@1 72.656 (70.184) Prec@5 88.281 (88.922) Test: [70/391] Time 0.107 (0.132) Loss 1.9639 (1.2471) Prec@1 48.438 (69.157) Prec@5 82.812 (89.062) Test: [80/391] Time 0.105 (0.129) Loss 1.1789 (1.2805) Prec@1 67.188 (67.882) Prec@5 90.625 (88.918) Test: [90/391] Time 0.101 (0.126) Loss 1.3146 (1.2859) Prec@1 57.031 (67.625) Prec@5 89.844 (88.968) Test: [100/391] Time 0.111 (0.125) Loss 0.8668 (1.2753) Prec@1 78.125 (67.396) Prec@5 96.094 (89.333) Test: [110/391] Time 0.108 (0.124) Loss 1.6297 (1.2775) Prec@1 45.312 (67.019) Prec@5 87.500 (89.358) Test: [120/391] Time 0.105 (0.122) Loss 0.8604 (1.2662) Prec@1 76.562 (67.342) Prec@5 92.969 (89.553) Test: [130/391] Time 0.104 (0.121) Loss 0.6897 (1.2565) Prec@1 82.031 (67.772) Prec@5 96.094 (89.701) Test: [140/391] Time 0.100 (0.119) Loss 1.2970 (1.2546) Prec@1 63.281 (67.858) Prec@5 91.406 (89.755) Test: [150/391] Time 0.107 (0.119) Loss 1.2392 (1.2517) Prec@1 57.031 (67.958) Prec@5 93.750 (89.745) Test: [160/391] Time 0.104 (0.118) Loss 1.3482 (1.2590) Prec@1 64.062 (67.862) Prec@5 89.844 (89.625) Test: [170/391] Time 0.099 (0.118) Loss 1.9875 (1.2942) Prec@1 53.906 (67.274) Prec@5 83.594 (89.090) Test: [180/391] Time 0.107 (0.117) Loss 2.5349 (1.3317) Prec@1 42.188 (66.557) Prec@5 78.906 (88.618) Test: [190/391] Time 0.101 (0.116) Loss 2.1614 (1.3660) Prec@1 58.594 (66.014) Prec@5 80.469 (88.085) Test: [200/391] Time 0.103 (0.116) Loss 1.9060 (1.4034) Prec@1 49.219 (65.271) Prec@5 82.031 (87.605) Test: [210/391] Time 0.105 (0.116) Loss 1.9429 (1.4264) Prec@1 57.812 (64.855) Prec@5 81.250 (87.311) Test: [220/391] Time 0.100 (0.115) Loss 0.8357 (1.4396) Prec@1 79.688 (64.688) Prec@5 93.750 (87.058) Test: [230/391] Time 0.102 (0.115) Loss 2.3985 (1.4520) Prec@1 39.844 (64.509) Prec@5 74.219 (86.844) Test: [240/391] Time 0.156 (0.115) Loss 1.6747 (1.4603) Prec@1 64.844 (64.455) Prec@5 84.375 (86.667) Test: [250/391] Time 0.112 (0.114) Loss 1.3019 (1.4893) Prec@1 67.969 (63.851) Prec@5 85.938 (86.289) Test: [260/391] Time 0.100 (0.114) Loss 2.2263 (1.5104) Prec@1 49.219 (63.407) Prec@5 73.438 (86.018) Test: [270/391] Time 0.105 (0.114) Loss 2.0618 (1.5161) Prec@1 54.688 (63.324) Prec@5 78.906 (85.909) Test: [280/391] Time 0.114 (0.114) Loss 1.3859 (1.5222) Prec@1 60.156 (63.226) Prec@5 89.062 (85.865) Test: [290/391] Time 0.109 (0.113) Loss 1.9200 (1.5302) Prec@1 36.719 (63.064) Prec@5 83.594 (85.709) Test: [300/391] Time 0.104 (0.113) Loss 1.7358 (1.5417) Prec@1 65.625 (62.876) Prec@5 82.812 (85.559) Test: [310/391] Time 0.101 (0.113) Loss 1.7471 (1.5518) Prec@1 62.500 (62.739) Prec@5 82.031 (85.375) Test: [320/391] Time 0.104 (0.113) Loss 1.3072 (1.5554) Prec@1 71.094 (62.717) Prec@5 90.625 (85.341) Test: [330/391] Time 0.110 (0.112) Loss 2.0660 (1.5766) Prec@1 54.688 (62.304) Prec@5 75.000 (84.996) Test: [340/391] Time 0.110 (0.112) Loss 1.5066 (1.5856) Prec@1 58.594 (62.085) Prec@5 88.281 (84.845) Test: [350/391] Time 0.110 (0.112) Loss 1.2845 (1.5916) Prec@1 70.312 (61.984) Prec@5 90.625 (84.760) Test: [360/391] Time 0.105 (0.112) Loss 1.5957 (1.5972) Prec@1 61.719 (61.911) Prec@5 85.938 (84.719) Test: [370/391] Time 0.109 (0.112) Loss 1.3116 (1.5953) Prec@1 62.500 (61.894) Prec@5 91.406 (84.727) Test: [380/391] Time 0.105 (0.112) Loss 1.2943 (1.5990) Prec@1 68.750 (61.844) Prec@5 88.281 (84.674) Test: [390/391] Time 0.073 (0.111) Loss 2.1138 (1.5906) Prec@1 45.000 (62.036) Prec@5 80.000 (84.788) * Prec@1 62.036 Prec@5 84.788 Epoch: [41][0/10010] Time 2.504 (2.504) Data 2.344 (2.344) Loss 1.7314 (1.7314) Prec@1 60.156 (60.156) Prec@5 81.250 (81.250) Epoch: [41][10/10010] Time 0.324 (0.547) Data 0.000 (0.255) Loss 1.5829 (1.8148) Prec@1 65.625 (58.807) Prec@5 86.719 (79.403) Epoch: [41][20/10010] Time 0.317 (0.440) Data 0.001 (0.134) Loss 1.5754 (1.7836) Prec@1 62.500 (59.821) Prec@5 84.375 (80.580) Epoch: [41][30/10010] Time 0.323 (0.402) Data 0.002 (0.091) Loss 1.7863 (1.7713) Prec@1 60.938 (60.030) Prec@5 81.250 (80.948) Epoch: [41][40/10010] Time 0.318 (0.382) Data 0.000 (0.069) Loss 1.8921 (1.7769) Prec@1 57.031 (59.184) Prec@5 78.906 (81.155) Epoch: [41][50/10010] Time 0.331 (0.371) Data 0.001 (0.056) Loss 1.5785 (1.7665) Prec@1 62.500 (59.589) Prec@5 86.719 (81.373) Epoch: [41][60/10010] Time 0.344 (0.365) Data 0.001 (0.047) Loss 1.9168 (1.7572) Prec@1 58.594 (59.836) Prec@5 75.000 (81.596) Epoch: [41][70/10010] Time 0.334 (0.360) Data 0.001 (0.040) Loss 1.9427 (1.7575) Prec@1 54.688 (59.760) Prec@5 80.469 (81.690) Epoch: [41][80/10010] Time 0.316 (0.356) Data 0.000 (0.035) Loss 1.5699 (1.7391) Prec@1 67.188 (59.973) Prec@5 84.375 (81.925) Epoch: [41][90/10010] Time 0.339 (0.353) Data 0.000 (0.031) Loss 1.5684 (1.7322) Prec@1 60.938 (60.062) Prec@5 87.500 (82.057) Epoch: [41][100/10010] Time 0.329 (0.351) Data 0.000 (0.028) Loss 1.6081 (1.7257) Prec@1 66.406 (60.427) Prec@5 83.594 (82.078) Epoch: [41][110/10010] Time 0.337 (0.350) Data 0.001 (0.026) Loss 1.6400 (1.7234) Prec@1 60.938 (60.557) Prec@5 85.156 (82.066) Epoch: [41][120/10010] Time 0.323 (0.348) Data 0.000 (0.024) Loss 1.7881 (1.7299) Prec@1 60.156 (60.518) Prec@5 82.812 (81.980) Epoch: [41][130/10010] Time 0.337 (0.347) Data 0.000 (0.022) Loss 1.9403 (1.7373) Prec@1 54.688 (60.341) Prec@5 78.125 (81.805) Epoch: [41][140/10010] Time 0.330 (0.346) Data 0.000 (0.020) Loss 2.1155 (1.7429) Prec@1 54.688 (60.250) Prec@5 75.781 (81.704) Epoch: [41][150/10010] Time 0.333 (0.345) Data 0.000 (0.019) Loss 1.7037 (1.7422) Prec@1 57.812 (60.322) Prec@5 80.469 (81.726) Epoch: [41][160/10010] Time 0.343 (0.345) Data 0.000 (0.018) Loss 1.4802 (1.7456) Prec@1 60.938 (60.161) Prec@5 87.500 (81.706) Epoch: [41][170/10010] Time 0.341 (0.344) Data 0.001 (0.017) Loss 1.9415 (1.7513) Prec@1 62.500 (60.165) Prec@5 76.562 (81.638) Epoch: [41][180/10010] Time 0.342 (0.343) Data 0.001 (0.016) Loss 2.0004 (1.7482) Prec@1 54.688 (60.174) Prec@5 77.344 (81.651) Epoch: [41][190/10010] Time 0.344 (0.343) Data 0.000 (0.015) Loss 1.4894 (1.7461) Prec@1 60.156 (60.205) Prec@5 90.625 (81.720) Epoch: [41][200/10010] Time 0.321 (0.342) Data 0.000 (0.015) Loss 1.7203 (1.7484) Prec@1 61.719 (60.211) Prec@5 78.906 (81.619) Epoch: [41][210/10010] Time 0.325 (0.342) Data 0.001 (0.014) Loss 1.5027 (1.7479) Prec@1 69.531 (60.227) Prec@5 88.281 (81.654) Epoch: [41][220/10010] Time 0.339 (0.341) Data 0.000 (0.013) Loss 1.5871 (1.7485) Prec@1 60.938 (60.206) Prec@5 84.375 (81.596) Epoch: [41][230/10010] Time 0.317 (0.341) Data 0.000 (0.013) Loss 1.8751 (1.7502) Prec@1 58.594 (60.170) Prec@5 75.781 (81.605) Epoch: [41][240/10010] Time 0.331 (0.340) Data 0.000 (0.012) Loss 1.6912 (1.7471) Prec@1 61.719 (60.211) Prec@5 82.031 (81.675) Epoch: [41][250/10010] Time 0.335 (0.340) Data 0.001 (0.012) Loss 1.7284 (1.7503) Prec@1 60.938 (60.141) Prec@5 84.375 (81.605) Epoch: [41][260/10010] Time 0.330 (0.339) Data 0.000 (0.011) Loss 1.8937 (1.7516) Prec@1 54.688 (60.078) Prec@5 79.688 (81.579) Epoch: [41][270/10010] Time 0.340 (0.339) Data 0.000 (0.011) Loss 1.6717 (1.7549) Prec@1 57.812 (59.986) Prec@5 85.938 (81.518) Epoch: [41][280/10010] Time 0.337 (0.339) Data 0.001 (0.011) Loss 2.0275 (1.7579) Prec@1 57.031 (59.928) Prec@5 72.656 (81.464) Epoch: [41][290/10010] Time 0.341 (0.338) Data 0.000 (0.010) Loss 1.7909 (1.7554) Prec@1 62.500 (60.035) Prec@5 79.688 (81.478) Epoch: [41][300/10010] Time 0.324 (0.338) Data 0.001 (0.010) Loss 1.6400 (1.7535) Prec@1 57.812 (60.050) Prec@5 84.375 (81.499) Epoch: [41][310/10010] Time 0.316 (0.338) Data 0.000 (0.010) Loss 1.7063 (1.7523) Prec@1 57.031 (60.066) Prec@5 78.906 (81.501) Epoch: [41][320/10010] Time 0.333 (0.337) Data 0.000 (0.009) Loss 1.9556 (1.7500) Prec@1 48.438 (60.069) Prec@5 76.562 (81.506) Epoch: [41][330/10010] Time 0.333 (0.337) Data 0.000 (0.009) Loss 1.9590 (1.7523) Prec@1 60.156 (60.022) Prec@5 76.562 (81.479) Epoch: [41][340/10010] Time 0.328 (0.337) Data 0.000 (0.009) Loss 2.0794 (1.7501) Prec@1 53.906 (60.042) Prec@5 76.562 (81.504) Epoch: [41][350/10010] Time 0.342 (0.337) Data 0.000 (0.009) Loss 1.8536 (1.7528) Prec@1 64.062 (60.009) Prec@5 78.906 (81.446) Epoch: [41][360/10010] Time 0.338 (0.337) Data 0.001 (0.008) Loss 1.4719 (1.7527) Prec@1 67.188 (60.052) Prec@5 88.281 (81.443) Epoch: [41][370/10010] Time 0.325 (0.336) Data 0.001 (0.008) Loss 1.5635 (1.7529) Prec@1 63.281 (60.055) Prec@5 82.031 (81.435) Epoch: [41][380/10010] Time 0.323 (0.336) Data 0.001 (0.008) Loss 1.9493 (1.7522) Prec@1 57.812 (60.072) Prec@5 75.781 (81.428) Epoch: [41][390/10010] Time 0.329 (0.336) Data 0.000 (0.008) Loss 1.4271 (1.7526) Prec@1 66.406 (60.094) Prec@5 86.719 (81.430) Epoch: [41][400/10010] Time 0.326 (0.336) Data 0.000 (0.008) Loss 1.5857 (1.7539) Prec@1 60.938 (60.020) Prec@5 85.156 (81.425) Epoch: [41][410/10010] Time 0.337 (0.335) Data 0.000 (0.007) Loss 1.7190 (1.7545) Prec@1 57.812 (59.976) Prec@5 82.812 (81.453) Epoch: [41][420/10010] Time 0.326 (0.335) Data 0.001 (0.007) Loss 1.6338 (1.7531) Prec@1 60.938 (60.006) Prec@5 79.688 (81.450) Epoch: [41][430/10010] Time 0.318 (0.335) Data 0.000 (0.007) Loss 1.3994 (1.7551) Prec@1 64.062 (59.930) Prec@5 89.062 (81.435) /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][440/10010] Time 0.324 (0.335) Data 0.000 (0.007) Loss 1.6472 (1.7543) Prec@1 60.938 (59.940) Prec@5 84.375 (81.466) Epoch: [41][450/10010] Time 0.333 (0.335) Data 0.000 (0.007) Loss 1.7688 (1.7538) Prec@1 58.594 (59.933) Prec@5 82.812 (81.470) Epoch: [41][460/10010] Time 0.340 (0.335) Data 0.000 (0.007) Loss 1.6494 (1.7550) Prec@1 64.062 (59.927) Prec@5 84.375 (81.447) Epoch: [41][470/10010] Time 0.330 (0.335) Data 0.001 (0.007) Loss 1.6687 (1.7539) Prec@1 56.250 (59.937) Prec@5 81.250 (81.479) Epoch: [41][480/10010] Time 0.327 (0.335) Data 0.000 (0.006) Loss 2.0794 (1.7543) Prec@1 58.594 (59.913) Prec@5 78.906 (81.486) Epoch: [41][490/10010] Time 0.337 (0.335) Data 0.000 (0.006) Loss 1.8987 (1.7553) Prec@1 59.375 (59.876) Prec@5 78.125 (81.485) Epoch: [41][500/10010] Time 0.325 (0.335) Data 0.000 (0.006) Loss 1.7382 (1.7581) Prec@1 60.938 (59.830) Prec@5 80.469 (81.425) Epoch: [41][510/10010] Time 0.346 (0.335) Data 0.000 (0.006) Loss 1.7060 (1.7599) Prec@1 61.719 (59.757) Prec@5 83.594 (81.383) Epoch: [41][520/10010] Time 0.322 (0.335) Data 0.000 (0.006) Loss 2.0202 (1.7606) Prec@1 58.594 (59.729) Prec@5 79.688 (81.380) Epoch: [41][530/10010] Time 0.320 (0.334) Data 0.000 (0.006) Loss 2.2829 (1.7613) Prec@1 50.781 (59.721) Prec@5 66.406 (81.352) Epoch: [41][540/10010] Time 0.326 (0.334) Data 0.000 (0.006) Loss 1.7751 (1.7610) Prec@1 65.625 (59.743) Prec@5 78.906 (81.335) Epoch: [41][550/10010] Time 0.334 (0.334) Data 0.000 (0.006) Loss 1.7159 (1.7605) Prec@1 60.156 (59.754) Prec@5 84.375 (81.338) Epoch: [41][560/10010] Time 0.333 (0.334) Data 0.000 (0.006) Loss 1.8496 (1.7610) Prec@1 58.594 (59.743) Prec@5 77.344 (81.329) Epoch: [41][570/10010] Time 0.320 (0.334) Data 0.000 (0.005) Loss 1.4925 (1.7596) Prec@1 61.719 (59.757) Prec@5 84.375 (81.350) Epoch: [41][580/10010] Time 0.330 (0.334) Data 0.001 (0.005) Loss 1.9062 (1.7595) Prec@1 58.594 (59.772) Prec@5 76.562 (81.354) Epoch: [41][590/10010] Time 0.326 (0.334) Data 0.000 (0.005) Loss 1.8159 (1.7600) Prec@1 59.375 (59.760) Prec@5 81.250 (81.354) Epoch: [41][600/10010] Time 0.343 (0.334) Data 0.000 (0.005) Loss 1.6176 (1.7593) Prec@1 60.156 (59.755) Prec@5 82.812 (81.350) Epoch: [41][610/10010] Time 0.327 (0.334) Data 0.000 (0.005) Loss 1.7098 (1.7602) Prec@1 62.500 (59.750) Prec@5 80.469 (81.341) Epoch: [41][620/10010] Time 0.342 (0.334) Data 0.000 (0.005) Loss 1.6950 (1.7596) Prec@1 59.375 (59.749) Prec@5 81.250 (81.358) Epoch: [41][630/10010] Time 0.347 (0.334) Data 0.000 (0.005) Loss 1.5911 (1.7584) Prec@1 57.812 (59.771) Prec@5 83.594 (81.392) Epoch: [41][640/10010] Time 0.334 (0.334) Data 0.000 (0.005) Loss 1.5050 (1.7583) Prec@1 60.938 (59.781) Prec@5 82.812 (81.397) Epoch: [41][650/10010] Time 0.324 (0.334) Data 0.001 (0.005) Loss 1.7049 (1.7585) Prec@1 60.156 (59.782) Prec@5 80.469 (81.400) Epoch: [41][660/10010] Time 0.326 (0.334) Data 0.001 (0.005) Loss 1.7604 (1.7588) Prec@1 60.938 (59.765) Prec@5 82.031 (81.384) Epoch: [41][670/10010] Time 0.320 (0.334) Data 0.000 (0.005) Loss 1.7778 (1.7584) Prec@1 63.281 (59.781) Prec@5 78.125 (81.382) Epoch: [41][680/10010] Time 0.319 (0.334) Data 0.000 (0.005) Loss 1.6337 (1.7573) Prec@1 60.156 (59.809) Prec@5 87.500 (81.401) Epoch: [41][690/10010] Time 0.320 (0.333) Data 0.000 (0.005) Loss 2.1846 (1.7586) Prec@1 54.688 (59.799) Prec@5 77.344 (81.377) Epoch: [41][700/10010] Time 0.348 (0.333) Data 0.000 (0.005) Loss 1.8730 (1.7587) Prec@1 57.812 (59.801) Prec@5 76.562 (81.369) Epoch: [41][710/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 1.4854 (1.7584) Prec@1 67.188 (59.827) Prec@5 82.812 (81.362) Epoch: [41][720/10010] Time 0.334 (0.333) Data 0.001 (0.004) Loss 1.7028 (1.7588) Prec@1 59.375 (59.813) Prec@5 86.719 (81.362) Epoch: [41][730/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 2.0509 (1.7605) Prec@1 55.469 (59.790) Prec@5 80.469 (81.343) Epoch: [41][740/10010] Time 0.320 (0.333) Data 0.000 (0.004) Loss 1.7183 (1.7598) Prec@1 63.281 (59.805) Prec@5 82.031 (81.358) Epoch: [41][750/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 1.7839 (1.7597) Prec@1 55.469 (59.790) Prec@5 79.688 (81.349) Epoch: [41][760/10010] Time 0.333 (0.333) Data 0.001 (0.004) Loss 1.7650 (1.7606) Prec@1 55.469 (59.766) Prec@5 78.906 (81.352) Epoch: [41][770/10010] Time 0.331 (0.333) Data 0.001 (0.004) Loss 1.8595 (1.7595) Prec@1 54.688 (59.770) Prec@5 81.250 (81.363) Epoch: [41][780/10010] Time 0.339 (0.333) Data 0.000 (0.004) Loss 1.7769 (1.7598) Prec@1 67.188 (59.776) Prec@5 78.906 (81.337) Epoch: [41][790/10010] Time 0.315 (0.333) Data 0.001 (0.004) Loss 1.7008 (1.7593) Prec@1 59.375 (59.776) Prec@5 82.031 (81.348) Epoch: [41][800/10010] Time 0.340 (0.333) Data 0.000 (0.004) Loss 1.5476 (1.7591) Prec@1 62.500 (59.795) Prec@5 87.500 (81.361) Epoch: [41][810/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 1.9517 (1.7596) Prec@1 60.156 (59.784) Prec@5 76.562 (81.367) Epoch: [41][820/10010] Time 0.317 (0.333) Data 0.000 (0.004) Loss 1.8576 (1.7598) Prec@1 66.406 (59.791) Prec@5 82.031 (81.372) Epoch: [41][830/10010] Time 0.339 (0.333) Data 0.000 (0.004) Loss 1.8928 (1.7608) Prec@1 57.812 (59.762) Prec@5 78.906 (81.353) Epoch: [41][840/10010] Time 0.325 (0.333) Data 0.000 (0.004) Loss 1.6552 (1.7617) Prec@1 61.719 (59.753) Prec@5 84.375 (81.341) Epoch: [41][850/10010] Time 0.320 (0.333) Data 0.000 (0.004) Loss 1.4532 (1.7610) Prec@1 69.531 (59.756) Prec@5 87.500 (81.350) Epoch: [41][860/10010] Time 0.321 (0.333) Data 0.000 (0.004) Loss 1.6466 (1.7612) Prec@1 62.500 (59.733) Prec@5 83.594 (81.343) Epoch: [41][870/10010] Time 0.338 (0.333) Data 0.000 (0.004) Loss 1.7161 (1.7626) Prec@1 59.375 (59.696) Prec@5 82.812 (81.333) Epoch: [41][880/10010] Time 0.337 (0.333) Data 0.000 (0.004) Loss 2.1859 (1.7641) Prec@1 55.469 (59.674) Prec@5 74.219 (81.317) Epoch: [41][890/10010] Time 0.342 (0.333) Data 0.000 (0.004) Loss 2.0111 (1.7644) Prec@1 54.688 (59.661) Prec@5 74.219 (81.309) Epoch: [41][900/10010] Time 0.315 (0.333) Data 0.001 (0.004) Loss 1.9644 (1.7641) Prec@1 60.156 (59.663) Prec@5 78.906 (81.307) Epoch: [41][910/10010] Time 0.334 (0.333) Data 0.000 (0.004) Loss 1.6922 (1.7642) Prec@1 63.281 (59.670) Prec@5 85.156 (81.311) Epoch: [41][920/10010] Time 0.318 (0.333) Data 0.001 (0.004) Loss 1.4562 (1.7642) Prec@1 63.281 (59.681) Prec@5 87.500 (81.310) Epoch: [41][930/10010] Time 0.319 (0.333) Data 0.001 (0.004) Loss 1.7621 (1.7649) Prec@1 61.719 (59.670) Prec@5 82.031 (81.302) Epoch: [41][940/10010] Time 0.343 (0.333) Data 0.000 (0.004) Loss 1.5797 (1.7652) Prec@1 57.812 (59.671) Prec@5 87.500 (81.284) Epoch: [41][950/10010] Time 0.335 (0.333) Data 0.000 (0.004) Loss 1.6043 (1.7650) Prec@1 60.938 (59.667) Prec@5 89.062 (81.293) Epoch: [41][960/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 1.9155 (1.7663) Prec@1 55.469 (59.627) Prec@5 79.688 (81.274) Epoch: [41][970/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 1.6496 (1.7667) Prec@1 61.719 (59.626) Prec@5 85.938 (81.282) Epoch: [41][980/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.9029 (1.7671) Prec@1 60.156 (59.627) Prec@5 81.250 (81.264) Epoch: [41][990/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 2.0817 (1.7687) Prec@1 54.688 (59.609) Prec@5 75.000 (81.245) Epoch: [41][1000/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 1.6273 (1.7685) Prec@1 56.250 (59.610) Prec@5 85.156 (81.246) Epoch: [41][1010/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 1.6811 (1.7693) Prec@1 64.844 (59.591) Prec@5 82.812 (81.237) Epoch: [41][1020/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.4376 (1.7700) Prec@1 64.844 (59.588) Prec@5 86.719 (81.226) Epoch: [41][1030/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.7921 (1.7699) Prec@1 57.812 (59.579) Prec@5 79.688 (81.226) Epoch: [41][1040/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 1.8906 (1.7704) Prec@1 56.250 (59.573) Prec@5 75.781 (81.218) Epoch: [41][1050/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.9545 (1.7705) Prec@1 57.812 (59.580) Prec@5 76.562 (81.205) Epoch: [41][1060/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 1.9505 (1.7705) Prec@1 57.812 (59.589) Prec@5 74.219 (81.192) Epoch: [41][1070/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 1.4660 (1.7707) Prec@1 67.188 (59.597) Prec@5 85.938 (81.195) Epoch: [41][1080/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 1.6651 (1.7709) Prec@1 57.812 (59.582) Prec@5 78.125 (81.191) Epoch: [41][1090/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 1.8461 (1.7710) Prec@1 63.281 (59.582) Prec@5 82.031 (81.186) Epoch: [41][1100/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 1.9135 (1.7724) Prec@1 57.812 (59.549) Prec@5 77.344 (81.160) Epoch: [41][1110/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.6904 (1.7722) Prec@1 61.719 (59.560) Prec@5 82.031 (81.157) Epoch: [41][1120/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 1.6190 (1.7719) Prec@1 60.938 (59.570) Prec@5 85.156 (81.164) Epoch: [41][1130/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 1.7205 (1.7719) Prec@1 58.594 (59.570) Prec@5 82.031 (81.168) Epoch: [41][1140/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 1.8009 (1.7719) Prec@1 59.375 (59.567) Prec@5 79.688 (81.179) Epoch: [41][1150/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 2.0484 (1.7719) Prec@1 53.125 (59.575) Prec@5 77.344 (81.179) Epoch: [41][1160/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 1.7516 (1.7724) Prec@1 64.844 (59.564) Prec@5 79.688 (81.168) Epoch: [41][1170/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 1.5947 (1.7725) Prec@1 60.938 (59.570) Prec@5 84.375 (81.159) Epoch: [41][1180/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 1.7165 (1.7730) Prec@1 58.594 (59.544) Prec@5 82.031 (81.155) Epoch: [41][1190/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 1.6749 (1.7725) Prec@1 59.375 (59.552) Prec@5 83.594 (81.170) Epoch: [41][1200/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 1.7825 (1.7723) Prec@1 55.469 (59.553) Prec@5 78.906 (81.167) Epoch: [41][1210/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 1.3969 (1.7720) Prec@1 69.531 (59.558) Prec@5 85.938 (81.162) Epoch: [41][1220/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.7376 (1.7723) Prec@1 60.938 (59.545) Prec@5 84.375 (81.164) Epoch: [41][1230/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.7825 (1.7728) Prec@1 58.594 (59.532) Prec@5 80.469 (81.165) Epoch: [41][1240/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 1.9814 (1.7734) Prec@1 55.469 (59.518) Prec@5 79.688 (81.161) Epoch: [41][1250/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.7865 (1.7741) Prec@1 61.719 (59.511) Prec@5 80.469 (81.155) Epoch: [41][1260/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.5159 (1.7740) Prec@1 62.500 (59.519) Prec@5 86.719 (81.165) Epoch: [41][1270/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 1.9093 (1.7743) Prec@1 60.938 (59.515) Prec@5 80.469 (81.165) Epoch: [41][1280/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.9525 (1.7746) Prec@1 53.906 (59.506) Prec@5 81.250 (81.158) Epoch: [41][1290/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 1.6004 (1.7738) Prec@1 57.812 (59.521) Prec@5 85.938 (81.176) Epoch: [41][1300/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 2.1537 (1.7753) Prec@1 57.812 (59.501) Prec@5 71.875 (81.149) Epoch: [41][1310/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 1.6187 (1.7749) Prec@1 57.031 (59.494) Prec@5 83.594 (81.160) Epoch: [41][1320/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.7958 (1.7752) Prec@1 62.500 (59.487) Prec@5 79.688 (81.156) Epoch: [41][1330/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 1.8817 (1.7751) Prec@1 59.375 (59.495) Prec@5 82.031 (81.152) Epoch: [41][1340/10010] Time 0.338 (0.333) Data 0.000 (0.003) Loss 1.8207 (1.7753) Prec@1 56.250 (59.503) Prec@5 80.469 (81.143) Epoch: [41][1350/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.7971 (1.7754) Prec@1 60.156 (59.503) Prec@5 79.688 (81.144) Epoch: [41][1360/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.7088 (1.7758) Prec@1 59.375 (59.495) Prec@5 84.375 (81.142) Epoch: [41][1370/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 2.0129 (1.7762) Prec@1 56.250 (59.486) Prec@5 77.344 (81.144) Epoch: [41][1380/10010] Time 0.315 (0.333) Data 0.001 (0.003) Loss 1.5345 (1.7758) Prec@1 67.188 (59.490) Prec@5 85.156 (81.153) Epoch: [41][1390/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 1.9055 (1.7752) Prec@1 54.688 (59.500) Prec@5 79.688 (81.166) Epoch: [41][1400/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.7189 (1.7755) Prec@1 64.062 (59.492) Prec@5 81.250 (81.157) Epoch: [41][1410/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 1.9097 (1.7756) Prec@1 63.281 (59.503) Prec@5 79.688 (81.144) Epoch: [41][1420/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 1.8203 (1.7762) Prec@1 53.125 (59.484) Prec@5 81.250 (81.128) Epoch: [41][1430/10010] Time 0.337 (0.332) Data 0.001 (0.003) Loss 2.1112 (1.7769) Prec@1 53.906 (59.473) Prec@5 78.125 (81.113) Epoch: [41][1440/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.8796 (1.7777) Prec@1 54.688 (59.456) Prec@5 79.688 (81.098) Epoch: [41][1450/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.8185 (1.7783) Prec@1 55.469 (59.446) Prec@5 82.031 (81.088) Epoch: [41][1460/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.0702 (1.7789) Prec@1 55.469 (59.441) Prec@5 76.562 (81.085) Epoch: [41][1470/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 2.1375 (1.7798) Prec@1 50.781 (59.421) Prec@5 74.219 (81.076) Epoch: [41][1480/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.9161 (1.7801) Prec@1 51.562 (59.418) Prec@5 82.031 (81.074) Epoch: [41][1490/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.8202 (1.7806) Prec@1 54.688 (59.401) Prec@5 81.250 (81.069) Epoch: [41][1500/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 1.7746 (1.7805) Prec@1 60.156 (59.401) Prec@5 79.688 (81.071) Epoch: [41][1510/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.9601 (1.7800) Prec@1 59.375 (59.408) Prec@5 80.469 (81.077) Epoch: [41][1520/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7238 (1.7807) Prec@1 60.938 (59.390) Prec@5 79.688 (81.066) Epoch: [41][1530/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.0319 (1.7812) Prec@1 52.344 (59.378) Prec@5 75.781 (81.052) Epoch: [41][1540/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.6227 (1.7808) Prec@1 62.500 (59.396) Prec@5 83.594 (81.067) Epoch: [41][1550/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.5476 (1.7814) Prec@1 64.062 (59.390) Prec@5 86.719 (81.059) Epoch: [41][1560/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.7181 (1.7815) Prec@1 59.375 (59.383) Prec@5 80.469 (81.061) Epoch: [41][1570/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.9546 (1.7817) Prec@1 56.250 (59.375) Prec@5 80.469 (81.060) Epoch: [41][1580/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.8054 (1.7819) Prec@1 60.938 (59.366) Prec@5 82.031 (81.059) Epoch: [41][1590/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.5279 (1.7817) Prec@1 60.938 (59.371) Prec@5 85.156 (81.063) Epoch: [41][1600/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.7603 (1.7824) Prec@1 59.375 (59.352) Prec@5 82.812 (81.053) Epoch: [41][1610/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 2.1486 (1.7821) Prec@1 53.906 (59.367) Prec@5 75.781 (81.057) Epoch: [41][1620/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.8872 (1.7822) Prec@1 62.500 (59.367) Prec@5 82.031 (81.058) Epoch: [41][1630/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.6666 (1.7815) Prec@1 56.250 (59.376) Prec@5 85.938 (81.074) Epoch: [41][1640/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.9951 (1.7820) Prec@1 57.812 (59.369) Prec@5 80.469 (81.069) Epoch: [41][1650/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.8031 (1.7824) Prec@1 61.719 (59.371) Prec@5 79.688 (81.067) Epoch: [41][1660/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.6258 (1.7820) Prec@1 59.375 (59.377) Prec@5 80.469 (81.066) Epoch: [41][1670/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.6731 (1.7828) Prec@1 55.469 (59.360) Prec@5 86.719 (81.048) Epoch: [41][1680/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.7302 (1.7825) Prec@1 58.594 (59.361) Prec@5 82.812 (81.051) Epoch: [41][1690/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.7291 (1.7824) Prec@1 66.406 (59.363) Prec@5 80.469 (81.047) Epoch: [41][1700/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.4519 (1.7826) Prec@1 67.188 (59.360) Prec@5 87.500 (81.044) Epoch: [41][1710/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.7092 (1.7828) Prec@1 63.281 (59.361) Prec@5 80.469 (81.038) Epoch: [41][1720/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.3181 (1.7823) Prec@1 67.188 (59.376) Prec@5 89.844 (81.049) Epoch: [41][1730/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7972 (1.7822) Prec@1 60.156 (59.380) Prec@5 80.469 (81.048) Epoch: [41][1740/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.8462 (1.7825) Prec@1 57.812 (59.378) Prec@5 78.125 (81.039) Epoch: [41][1750/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.7076 (1.7827) Prec@1 57.812 (59.377) Prec@5 82.031 (81.030) Epoch: [41][1760/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.5934 (1.7825) Prec@1 66.406 (59.381) Prec@5 81.250 (81.038) Epoch: [41][1770/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.8456 (1.7823) Prec@1 60.156 (59.375) Prec@5 81.250 (81.052) Epoch: [41][1780/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.0456 (1.7829) Prec@1 54.688 (59.371) Prec@5 77.344 (81.043) Epoch: [41][1790/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7818 (1.7829) Prec@1 58.594 (59.368) Prec@5 79.688 (81.045) Epoch: [41][1800/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.9813 (1.7827) Prec@1 51.562 (59.373) Prec@5 82.031 (81.053) Epoch: [41][1810/10010] Time 0.351 (0.332) Data 0.000 (0.002) Loss 1.6952 (1.7831) Prec@1 64.062 (59.369) Prec@5 81.250 (81.043) Epoch: [41][1820/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 2.1856 (1.7833) Prec@1 45.312 (59.357) Prec@5 76.562 (81.038) Epoch: [41][1830/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.6522 (1.7833) Prec@1 65.625 (59.351) Prec@5 81.250 (81.037) Epoch: [41][1840/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.8754 (1.7838) Prec@1 57.031 (59.354) Prec@5 82.031 (81.020) Epoch: [41][1850/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.7588 (1.7835) Prec@1 60.156 (59.360) Prec@5 81.250 (81.025) Epoch: [41][1860/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.9237 (1.7836) Prec@1 59.375 (59.362) Prec@5 73.438 (81.016) Epoch: [41][1870/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.7384 (1.7839) Prec@1 59.375 (59.351) Prec@5 79.688 (81.010) Epoch: [41][1880/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.7702 (1.7839) Prec@1 60.938 (59.354) Prec@5 82.031 (81.009) Epoch: [41][1890/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.9068 (1.7838) Prec@1 61.719 (59.362) Prec@5 79.688 (81.015) Epoch: [41][1900/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.9109 (1.7842) Prec@1 56.250 (59.350) Prec@5 82.031 (81.009) Epoch: [41][1910/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.9377 (1.7844) Prec@1 56.250 (59.345) Prec@5 78.125 (81.012) Epoch: [41][1920/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7686 (1.7839) Prec@1 59.375 (59.356) Prec@5 83.594 (81.021) Epoch: [41][1930/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.8357 (1.7840) Prec@1 59.375 (59.359) Prec@5 82.812 (81.024) Epoch: [41][1940/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.7167 (1.7850) Prec@1 51.562 (59.344) Prec@5 78.906 (81.012) Epoch: [41][1950/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.9077 (1.7848) Prec@1 61.719 (59.351) Prec@5 78.906 (81.021) Epoch: [41][1960/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.5906 (1.7847) Prec@1 61.719 (59.344) Prec@5 85.938 (81.027) Epoch: [41][1970/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9895 (1.7851) Prec@1 58.594 (59.334) Prec@5 78.125 (81.025) Epoch: [41][1980/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.8787 (1.7848) Prec@1 57.812 (59.341) Prec@5 76.562 (81.031) Epoch: [41][1990/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7259 (1.7849) Prec@1 60.938 (59.334) Prec@5 81.250 (81.033) Epoch: [41][2000/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 1.7431 (1.7852) Prec@1 63.281 (59.336) Prec@5 80.469 (81.029) Epoch: [41][2010/10010] Time 0.355 (0.332) Data 0.000 (0.002) Loss 1.9741 (1.7853) Prec@1 57.031 (59.340) Prec@5 80.469 (81.032) Epoch: [41][2020/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7669 (1.7852) Prec@1 60.156 (59.335) Prec@5 82.031 (81.031) Epoch: [41][2030/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.7975 (1.7852) Prec@1 57.031 (59.330) Prec@5 82.031 (81.032) Epoch: [41][2040/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.9987 (1.7860) Prec@1 53.906 (59.319) Prec@5 77.344 (81.018) Epoch: [41][2050/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.6460 (1.7859) Prec@1 62.500 (59.322) Prec@5 80.469 (81.018) Epoch: [41][2060/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 1.7794 (1.7860) Prec@1 56.250 (59.325) Prec@5 80.469 (81.016) Epoch: [41][2070/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.5177 (1.7864) Prec@1 64.844 (59.318) Prec@5 85.156 (81.009) Epoch: [41][2080/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.0798 (1.7870) Prec@1 52.344 (59.311) Prec@5 75.000 (80.997) Epoch: [41][2090/10010] Time 0.335 (0.332) Data 0.002 (0.002) Loss 1.9966 (1.7868) Prec@1 56.250 (59.310) Prec@5 81.250 (81.004) Epoch: [41][2100/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8367 (1.7871) Prec@1 56.250 (59.304) Prec@5 81.250 (80.999) Epoch: [41][2110/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.8436 (1.7876) Prec@1 64.062 (59.297) Prec@5 82.812 (80.995) Epoch: [41][2120/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.8222 (1.7883) Prec@1 57.031 (59.277) Prec@5 81.250 (80.981) Epoch: [41][2130/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.8481 (1.7883) Prec@1 59.375 (59.285) Prec@5 81.250 (80.982) Epoch: [41][2140/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 1.5970 (1.7880) Prec@1 59.375 (59.285) Prec@5 84.375 (80.992) Epoch: [41][2150/10010] Time 0.314 (0.332) Data 0.000 (0.002) Loss 1.8193 (1.7883) Prec@1 60.156 (59.281) Prec@5 81.250 (80.988) Epoch: [41][2160/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.6564 (1.7887) Prec@1 64.844 (59.285) Prec@5 82.031 (80.981) Epoch: [41][2170/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.9245 (1.7890) Prec@1 54.688 (59.280) Prec@5 77.344 (80.975) Epoch: [41][2180/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.7808 (1.7897) Prec@1 60.938 (59.267) Prec@5 78.125 (80.959) Epoch: [41][2190/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.8901 (1.7901) Prec@1 62.500 (59.263) Prec@5 77.344 (80.954) Epoch: [41][2200/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.7012 (1.7900) Prec@1 58.594 (59.260) Prec@5 85.156 (80.960) Epoch: [41][2210/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 1.9928 (1.7905) Prec@1 50.781 (59.245) Prec@5 77.344 (80.957) Epoch: [41][2220/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.8335 (1.7906) Prec@1 53.125 (59.242) Prec@5 78.125 (80.953) Epoch: [41][2230/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.9959 (1.7907) Prec@1 52.344 (59.233) Prec@5 76.562 (80.953) Epoch: [41][2240/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.1026 (1.7910) Prec@1 53.906 (59.227) Prec@5 78.906 (80.949) Epoch: [41][2250/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.5772 (1.7907) Prec@1 64.844 (59.232) Prec@5 82.031 (80.953) Epoch: [41][2260/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.6928 (1.7908) Prec@1 60.938 (59.228) Prec@5 83.594 (80.953) Epoch: [41][2270/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.1525 (1.7913) Prec@1 50.000 (59.222) Prec@5 74.219 (80.947) Epoch: [41][2280/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.8262 (1.7910) Prec@1 63.281 (59.237) Prec@5 80.469 (80.950) Epoch: [41][2290/10010] Time 0.352 (0.332) Data 0.000 (0.002) Loss 1.7152 (1.7914) Prec@1 63.281 (59.228) Prec@5 82.812 (80.944) Epoch: [41][2300/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.7131 (1.7916) Prec@1 60.938 (59.220) Prec@5 82.812 (80.945) Epoch: [41][2310/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.5327 (1.7912) Prec@1 65.625 (59.219) Prec@5 85.938 (80.951) Epoch: [41][2320/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.5095 (1.7912) Prec@1 67.969 (59.224) Prec@5 87.500 (80.949) Epoch: [41][2330/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.7128 (1.7908) Prec@1 58.594 (59.233) Prec@5 81.250 (80.956) Epoch: [41][2340/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.7702 (1.7906) Prec@1 61.719 (59.231) Prec@5 82.031 (80.962) Epoch: [41][2350/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.9035 (1.7905) Prec@1 56.250 (59.229) Prec@5 80.469 (80.963) Epoch: [41][2360/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.6111 (1.7903) Prec@1 67.188 (59.225) Prec@5 82.031 (80.970) /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][2370/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9150 (1.7904) Prec@1 58.594 (59.228) Prec@5 78.125 (80.966) Epoch: [41][2380/10010] Time 0.350 (0.332) Data 0.000 (0.002) Loss 2.1438 (1.7907) Prec@1 46.875 (59.217) Prec@5 72.656 (80.956) Epoch: [41][2390/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.9573 (1.7910) Prec@1 59.375 (59.213) Prec@5 77.344 (80.948) Epoch: [41][2400/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7021 (1.7910) Prec@1 59.375 (59.213) Prec@5 83.594 (80.951) Epoch: [41][2410/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.0514 (1.7911) Prec@1 54.688 (59.212) Prec@5 78.906 (80.947) Epoch: [41][2420/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7379 (1.7911) Prec@1 58.594 (59.220) Prec@5 82.031 (80.948) Epoch: [41][2430/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.6541 (1.7912) Prec@1 62.500 (59.210) Prec@5 82.031 (80.948) Epoch: [41][2440/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6358 (1.7917) Prec@1 60.156 (59.202) Prec@5 85.938 (80.942) Epoch: [41][2450/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.9385 (1.7919) Prec@1 56.250 (59.198) Prec@5 81.250 (80.936) Epoch: [41][2460/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.8940 (1.7918) Prec@1 59.375 (59.204) Prec@5 75.781 (80.936) Epoch: [41][2470/10010] Time 0.322 (0.332) Data 0.003 (0.002) Loss 1.5106 (1.7920) Prec@1 62.500 (59.197) Prec@5 82.031 (80.929) Epoch: [41][2480/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.7609 (1.7921) Prec@1 57.812 (59.196) Prec@5 78.906 (80.928) Epoch: [41][2490/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.9125 (1.7919) Prec@1 53.125 (59.195) Prec@5 82.812 (80.934) Epoch: [41][2500/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7995 (1.7917) Prec@1 57.812 (59.200) Prec@5 82.812 (80.935) Epoch: [41][2510/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.6602 (1.7917) Prec@1 59.375 (59.204) Prec@5 82.031 (80.932) Epoch: [41][2520/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.9692 (1.7916) Prec@1 54.688 (59.199) Prec@5 78.906 (80.934) Epoch: [41][2530/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.9818 (1.7914) Prec@1 51.562 (59.199) Prec@5 76.562 (80.936) Epoch: [41][2540/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.9862 (1.7916) Prec@1 52.344 (59.192) Prec@5 76.562 (80.932) Epoch: [41][2550/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.6820 (1.7917) Prec@1 62.500 (59.195) Prec@5 85.156 (80.933) Epoch: [41][2560/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.3696 (1.7919) Prec@1 61.719 (59.190) Prec@5 89.062 (80.932) Epoch: [41][2570/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.7278 (1.7922) Prec@1 60.938 (59.184) Prec@5 81.250 (80.932) Epoch: [41][2580/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.5641 (1.7920) Prec@1 68.750 (59.187) Prec@5 86.719 (80.937) Epoch: [41][2590/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7171 (1.7918) Prec@1 59.375 (59.190) Prec@5 82.031 (80.940) Epoch: [41][2600/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.6329 (1.7919) Prec@1 61.719 (59.186) Prec@5 82.812 (80.937) Epoch: [41][2610/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.7186 (1.7918) Prec@1 57.031 (59.181) Prec@5 78.906 (80.941) Epoch: [41][2620/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8103 (1.7915) Prec@1 59.375 (59.189) Prec@5 79.688 (80.946) Epoch: [41][2630/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.7696 (1.7912) Prec@1 56.250 (59.194) Prec@5 81.250 (80.951) Epoch: [41][2640/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.9544 (1.7917) Prec@1 59.375 (59.186) Prec@5 79.688 (80.944) Epoch: [41][2650/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.0890 (1.7916) Prec@1 55.469 (59.188) Prec@5 77.344 (80.946) Epoch: [41][2660/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7227 (1.7917) Prec@1 67.188 (59.182) Prec@5 83.594 (80.943) Epoch: [41][2670/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.8566 (1.7918) Prec@1 64.062 (59.182) Prec@5 78.906 (80.943) Epoch: [41][2680/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.9913 (1.7921) Prec@1 52.344 (59.175) Prec@5 77.344 (80.941) Epoch: [41][2690/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.7788 (1.7923) Prec@1 59.375 (59.173) Prec@5 81.250 (80.937) Epoch: [41][2700/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.9350 (1.7926) Prec@1 58.594 (59.169) Prec@5 76.562 (80.928) Epoch: [41][2710/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.4132 (1.7922) Prec@1 67.188 (59.180) Prec@5 86.719 (80.934) Epoch: [41][2720/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.4884 (1.7921) Prec@1 61.719 (59.181) Prec@5 90.625 (80.940) Epoch: [41][2730/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.8063 (1.7923) Prec@1 58.594 (59.174) Prec@5 81.250 (80.933) Epoch: [41][2740/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8924 (1.7923) Prec@1 59.375 (59.176) Prec@5 78.906 (80.934) Epoch: [41][2750/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.8290 (1.7926) Prec@1 56.250 (59.171) Prec@5 82.812 (80.929) Epoch: [41][2760/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.9643 (1.7928) Prec@1 55.469 (59.163) Prec@5 77.344 (80.923) Epoch: [41][2770/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.7017 (1.7930) Prec@1 60.938 (59.161) Prec@5 81.250 (80.918) Epoch: [41][2780/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.6884 (1.7933) Prec@1 68.750 (59.157) Prec@5 80.469 (80.914) Epoch: [41][2790/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.1961 (1.7933) Prec@1 49.219 (59.157) Prec@5 72.656 (80.914) Epoch: [41][2800/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.4940 (1.7933) Prec@1 66.406 (59.158) Prec@5 84.375 (80.911) Epoch: [41][2810/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.6116 (1.7932) Prec@1 59.375 (59.165) Prec@5 85.938 (80.915) Epoch: [41][2820/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.9886 (1.7934) Prec@1 54.688 (59.165) Prec@5 76.562 (80.912) Epoch: [41][2830/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.6403 (1.7936) Prec@1 62.500 (59.162) Prec@5 84.375 (80.909) Epoch: [41][2840/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.0221 (1.7938) Prec@1 52.344 (59.155) Prec@5 75.000 (80.908) Epoch: [41][2850/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.7001 (1.7935) Prec@1 59.375 (59.168) Prec@5 79.688 (80.909) Epoch: [41][2860/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.5638 (1.7940) Prec@1 62.500 (59.161) Prec@5 83.594 (80.903) Epoch: [41][2870/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.1204 (1.7941) Prec@1 54.688 (59.156) Prec@5 74.219 (80.901) /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][2880/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9387 (1.7943) Prec@1 57.031 (59.155) Prec@5 81.250 (80.899) Epoch: [41][2890/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.1223 (1.7943) Prec@1 57.031 (59.158) Prec@5 76.562 (80.902) Epoch: [41][2900/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.9160 (1.7941) Prec@1 55.469 (59.158) Prec@5 75.781 (80.905) Epoch: [41][2910/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.3109 (1.7940) Prec@1 54.688 (59.156) Prec@5 75.781 (80.910) Epoch: [41][2920/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7475 (1.7940) Prec@1 58.594 (59.160) Prec@5 82.031 (80.908) Epoch: [41][2930/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.5594 (1.7939) Prec@1 65.625 (59.162) Prec@5 85.938 (80.911) Epoch: [41][2940/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.9335 (1.7942) Prec@1 53.125 (59.158) Prec@5 80.469 (80.908) Epoch: [41][2950/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.9918 (1.7943) Prec@1 52.344 (59.155) Prec@5 79.688 (80.905) Epoch: [41][2960/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.7578 (1.7944) Prec@1 57.812 (59.152) Prec@5 86.719 (80.906) Epoch: [41][2970/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.0565 (1.7945) Prec@1 55.469 (59.144) Prec@5 73.438 (80.906) Epoch: [41][2980/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8682 (1.7946) Prec@1 61.719 (59.142) Prec@5 78.906 (80.906) Epoch: [41][2990/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.0896 (1.7948) Prec@1 53.906 (59.137) Prec@5 75.000 (80.904) Epoch: [41][3000/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.7572 (1.7951) Prec@1 56.250 (59.127) Prec@5 85.156 (80.904) Epoch: [41][3010/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9496 (1.7951) Prec@1 51.562 (59.129) Prec@5 82.031 (80.902) Epoch: [41][3020/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.6818 (1.7949) Prec@1 63.281 (59.129) Prec@5 80.469 (80.904) Epoch: [41][3030/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8394 (1.7950) Prec@1 56.250 (59.123) Prec@5 79.688 (80.901) Epoch: [41][3040/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.0560 (1.7950) Prec@1 56.250 (59.128) Prec@5 78.906 (80.903) Epoch: [41][3050/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9544 (1.7949) Prec@1 54.688 (59.128) Prec@5 78.125 (80.906) Epoch: [41][3060/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8555 (1.7948) Prec@1 58.594 (59.131) Prec@5 82.031 (80.909) Epoch: [41][3070/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7098 (1.7950) Prec@1 60.156 (59.128) Prec@5 82.812 (80.908) Epoch: [41][3080/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7423 (1.7950) Prec@1 58.594 (59.129) Prec@5 80.469 (80.908) Epoch: [41][3090/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7439 (1.7951) Prec@1 63.281 (59.128) Prec@5 79.688 (80.905) Epoch: [41][3100/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7664 (1.7947) Prec@1 57.031 (59.139) Prec@5 80.469 (80.912) Epoch: [41][3110/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8783 (1.7945) Prec@1 57.812 (59.139) Prec@5 79.688 (80.916) Epoch: [41][3120/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8269 (1.7944) Prec@1 59.375 (59.139) Prec@5 81.250 (80.916) Epoch: [41][3130/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7374 (1.7941) Prec@1 56.250 (59.141) Prec@5 85.156 (80.923) Epoch: [41][3140/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0807 (1.7943) Prec@1 59.375 (59.142) Prec@5 75.000 (80.920) Epoch: [41][3150/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6427 (1.7942) Prec@1 61.719 (59.145) Prec@5 85.938 (80.925) Epoch: [41][3160/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7343 (1.7945) Prec@1 60.938 (59.136) Prec@5 82.031 (80.920) Epoch: [41][3170/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.4940 (1.7943) Prec@1 64.844 (59.142) Prec@5 86.719 (80.923) Epoch: [41][3180/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7127 (1.7946) Prec@1 60.938 (59.137) Prec@5 78.125 (80.919) Epoch: [41][3190/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9081 (1.7946) Prec@1 57.031 (59.137) Prec@5 77.344 (80.919) Epoch: [41][3200/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7470 (1.7944) Prec@1 63.281 (59.146) Prec@5 82.031 (80.922) Epoch: [41][3210/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7953 (1.7947) Prec@1 55.469 (59.145) Prec@5 80.469 (80.918) Epoch: [41][3220/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7954 (1.7948) Prec@1 57.812 (59.146) Prec@5 85.156 (80.915) Epoch: [41][3230/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9860 (1.7949) Prec@1 57.031 (59.148) Prec@5 77.344 (80.912) Epoch: [41][3240/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8491 (1.7949) Prec@1 57.031 (59.151) Prec@5 79.688 (80.910) Epoch: [41][3250/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.4776 (1.7949) Prec@1 67.188 (59.153) Prec@5 87.500 (80.911) Epoch: [41][3260/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6729 (1.7949) Prec@1 63.281 (59.155) Prec@5 84.375 (80.911) Epoch: [41][3270/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9620 (1.7948) Prec@1 57.031 (59.161) Prec@5 78.906 (80.913) Epoch: [41][3280/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7006 (1.7947) Prec@1 63.281 (59.160) Prec@5 81.250 (80.913) Epoch: [41][3290/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6646 (1.7947) Prec@1 65.625 (59.164) Prec@5 82.031 (80.910) Epoch: [41][3300/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.5977 (1.7951) Prec@1 63.281 (59.160) Prec@5 86.719 (80.904) Epoch: [41][3310/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6844 (1.7952) Prec@1 60.156 (59.158) Prec@5 84.375 (80.902) Epoch: [41][3320/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7632 (1.7952) Prec@1 64.062 (59.162) Prec@5 82.812 (80.899) Epoch: [41][3330/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9798 (1.7952) Prec@1 51.562 (59.160) Prec@5 82.031 (80.902) Epoch: [41][3340/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7133 (1.7952) Prec@1 60.938 (59.155) Prec@5 81.250 (80.902) Epoch: [41][3350/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5931 (1.7950) Prec@1 67.188 (59.158) Prec@5 85.156 (80.904) Epoch: [41][3360/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.8398 (1.7951) Prec@1 60.156 (59.151) Prec@5 81.250 (80.904) Epoch: [41][3370/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0276 (1.7951) Prec@1 57.812 (59.154) Prec@5 78.125 (80.904) Epoch: [41][3380/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.5545 (1.7951) Prec@1 66.406 (59.152) Prec@5 86.719 (80.908) Epoch: [41][3390/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9240 (1.7951) Prec@1 62.500 (59.155) Prec@5 82.812 (80.907) Epoch: [41][3400/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8318 (1.7952) Prec@1 62.500 (59.155) Prec@5 79.688 (80.907) Epoch: [41][3410/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8392 (1.7951) Prec@1 56.250 (59.157) Prec@5 79.688 (80.909) Epoch: [41][3420/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.4531 (1.7947) Prec@1 71.094 (59.165) Prec@5 84.375 (80.916) Epoch: [41][3430/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7820 (1.7944) Prec@1 62.500 (59.173) Prec@5 78.125 (80.920) Epoch: [41][3440/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9506 (1.7944) Prec@1 57.031 (59.171) Prec@5 80.469 (80.922) Epoch: [41][3450/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6357 (1.7944) Prec@1 64.844 (59.174) Prec@5 83.594 (80.924) Epoch: [41][3460/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.1263 (1.7946) Prec@1 50.781 (59.165) Prec@5 74.219 (80.918) Epoch: [41][3470/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1421 (1.7944) Prec@1 51.562 (59.161) Prec@5 72.656 (80.920) Epoch: [41][3480/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6729 (1.7945) Prec@1 57.812 (59.161) Prec@5 82.031 (80.920) Epoch: [41][3490/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9397 (1.7946) Prec@1 53.906 (59.160) Prec@5 80.469 (80.916) Epoch: [41][3500/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.5838 (1.7944) Prec@1 63.281 (59.161) Prec@5 85.938 (80.918) Epoch: [41][3510/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.4218 (1.7943) Prec@1 67.969 (59.170) Prec@5 85.156 (80.921) Epoch: [41][3520/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6222 (1.7944) Prec@1 60.938 (59.167) Prec@5 87.500 (80.919) Epoch: [41][3530/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1206 (1.7945) Prec@1 50.781 (59.161) Prec@5 74.219 (80.916) Epoch: [41][3540/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9270 (1.7947) Prec@1 57.812 (59.159) Prec@5 79.688 (80.915) Epoch: [41][3550/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8422 (1.7946) Prec@1 64.062 (59.158) Prec@5 79.688 (80.919) Epoch: [41][3560/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8516 (1.7948) Prec@1 57.031 (59.157) Prec@5 78.125 (80.916) Epoch: [41][3570/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0148 (1.7948) Prec@1 49.219 (59.154) Prec@5 79.688 (80.918) Epoch: [41][3580/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.3422 (1.7944) Prec@1 66.406 (59.165) Prec@5 87.500 (80.924) Epoch: [41][3590/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9035 (1.7946) Prec@1 59.375 (59.161) Prec@5 75.000 (80.913) Epoch: [41][3600/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5632 (1.7946) Prec@1 63.281 (59.161) Prec@5 85.938 (80.915) Epoch: [41][3610/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7217 (1.7950) Prec@1 60.938 (59.154) Prec@5 81.250 (80.909) Epoch: [41][3620/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9471 (1.7951) Prec@1 59.375 (59.156) Prec@5 78.906 (80.906) Epoch: [41][3630/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6944 (1.7948) Prec@1 62.500 (59.164) Prec@5 79.688 (80.913) Epoch: [41][3640/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9763 (1.7949) Prec@1 50.781 (59.162) Prec@5 82.031 (80.912) Epoch: [41][3650/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8278 (1.7949) Prec@1 63.281 (59.164) Prec@5 82.031 (80.912) Epoch: [41][3660/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7234 (1.7950) Prec@1 62.500 (59.160) Prec@5 82.031 (80.910) Epoch: [41][3670/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7256 (1.7949) Prec@1 63.281 (59.161) Prec@5 82.031 (80.911) Epoch: [41][3680/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8080 (1.7951) Prec@1 60.156 (59.157) Prec@5 82.812 (80.907) Epoch: [41][3690/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6966 (1.7953) Prec@1 58.594 (59.151) Prec@5 83.594 (80.905) Epoch: [41][3700/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0863 (1.7953) Prec@1 48.438 (59.154) Prec@5 77.344 (80.908) Epoch: [41][3710/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.4945 (1.7951) Prec@1 62.500 (59.161) 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: [41][3720/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5973 (1.7950) Prec@1 62.500 (59.162) Prec@5 84.375 (80.913) Epoch: [41][3730/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7955 (1.7948) Prec@1 60.938 (59.166) Prec@5 84.375 (80.917) Epoch: [41][3740/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0887 (1.7951) Prec@1 47.656 (59.162) Prec@5 74.219 (80.911) Epoch: [41][3750/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7310 (1.7950) Prec@1 65.625 (59.169) Prec@5 80.469 (80.914) Epoch: [41][3760/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7075 (1.7949) Prec@1 64.062 (59.175) Prec@5 83.594 (80.918) Epoch: [41][3770/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7305 (1.7950) Prec@1 58.594 (59.174) Prec@5 81.250 (80.921) Epoch: [41][3780/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1064 (1.7950) Prec@1 53.125 (59.173) Prec@5 75.000 (80.920) Epoch: [41][3790/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9878 (1.7953) Prec@1 59.375 (59.172) Prec@5 82.031 (80.916) Epoch: [41][3800/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0257 (1.7952) Prec@1 58.594 (59.172) Prec@5 78.906 (80.918) Epoch: [41][3810/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9000 (1.7953) Prec@1 54.688 (59.168) Prec@5 75.781 (80.913) Epoch: [41][3820/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8770 (1.7952) Prec@1 59.375 (59.169) Prec@5 77.344 (80.916) Epoch: [41][3830/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6771 (1.7953) Prec@1 60.938 (59.164) Prec@5 84.375 (80.916) Epoch: [41][3840/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6707 (1.7953) Prec@1 65.625 (59.165) Prec@5 82.031 (80.915) Epoch: [41][3850/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8175 (1.7956) Prec@1 57.031 (59.158) Prec@5 85.938 (80.913) Epoch: [41][3860/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5050 (1.7956) Prec@1 57.031 (59.155) Prec@5 84.375 (80.914) Epoch: [41][3870/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7768 (1.7958) Prec@1 52.344 (59.149) Prec@5 82.031 (80.910) Epoch: [41][3880/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5474 (1.7959) Prec@1 60.156 (59.148) Prec@5 89.062 (80.914) Epoch: [41][3890/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7806 (1.7955) Prec@1 55.469 (59.154) Prec@5 78.125 (80.918) Epoch: [41][3900/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8576 (1.7955) Prec@1 56.250 (59.158) Prec@5 85.938 (80.920) Epoch: [41][3910/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9551 (1.7955) Prec@1 56.250 (59.157) Prec@5 77.344 (80.920) Epoch: [41][3920/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7744 (1.7956) Prec@1 57.812 (59.153) Prec@5 84.375 (80.922) Epoch: [41][3930/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6132 (1.7958) Prec@1 62.500 (59.151) Prec@5 80.469 (80.920) Epoch: [41][3940/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.6982 (1.7957) Prec@1 60.156 (59.155) Prec@5 85.156 (80.922) Epoch: [41][3950/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9653 (1.7958) Prec@1 53.906 (59.156) Prec@5 78.906 (80.920) Epoch: [41][3960/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4300 (1.7958) Prec@1 68.750 (59.154) Prec@5 85.938 (80.921) Epoch: [41][3970/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6307 (1.7960) Prec@1 67.969 (59.151) Prec@5 78.125 (80.915) Epoch: [41][3980/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8049 (1.7958) Prec@1 59.375 (59.157) Prec@5 81.250 (80.917) Epoch: [41][3990/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9978 (1.7958) Prec@1 56.250 (59.157) Prec@5 75.000 (80.914) Epoch: [41][4000/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.2661 (1.7958) Prec@1 50.781 (59.156) Prec@5 68.750 (80.912) Epoch: [41][4010/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7207 (1.7958) Prec@1 58.594 (59.159) Prec@5 82.812 (80.908) Epoch: [41][4020/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6798 (1.7957) Prec@1 59.375 (59.160) Prec@5 78.906 (80.906) Epoch: [41][4030/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6984 (1.7958) Prec@1 62.500 (59.154) Prec@5 81.250 (80.904) Epoch: [41][4040/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5802 (1.7958) Prec@1 61.719 (59.151) Prec@5 85.156 (80.903) Epoch: [41][4050/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7426 (1.7961) Prec@1 60.156 (59.150) Prec@5 84.375 (80.899) Epoch: [41][4060/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6882 (1.7962) Prec@1 62.500 (59.149) Prec@5 83.594 (80.894) Epoch: [41][4070/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9968 (1.7963) Prec@1 57.812 (59.146) Prec@5 79.688 (80.892) Epoch: [41][4080/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7036 (1.7961) Prec@1 60.156 (59.152) Prec@5 82.812 (80.895) Epoch: [41][4090/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9337 (1.7961) Prec@1 54.688 (59.154) Prec@5 78.125 (80.895) Epoch: [41][4100/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0459 (1.7962) Prec@1 56.250 (59.153) Prec@5 77.344 (80.893) Epoch: [41][4110/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6403 (1.7963) Prec@1 61.719 (59.151) Prec@5 82.812 (80.890) Epoch: [41][4120/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8285 (1.7963) Prec@1 59.375 (59.153) Prec@5 80.469 (80.892) Epoch: [41][4130/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0958 (1.7964) Prec@1 55.469 (59.151) Prec@5 73.438 (80.888) Epoch: [41][4140/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8807 (1.7964) Prec@1 57.031 (59.152) Prec@5 80.469 (80.887) Epoch: [41][4150/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6505 (1.7963) Prec@1 62.500 (59.153) Prec@5 82.812 (80.890) Epoch: [41][4160/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.4649 (1.7961) Prec@1 68.750 (59.157) Prec@5 85.938 (80.892) Epoch: [41][4170/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9335 (1.7963) Prec@1 56.250 (59.153) Prec@5 75.781 (80.888) Epoch: [41][4180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0386 (1.7961) Prec@1 56.250 (59.161) Prec@5 79.688 (80.890) Epoch: [41][4190/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0193 (1.7964) Prec@1 50.781 (59.150) Prec@5 78.125 (80.887) Epoch: [41][4200/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.6635 (1.7964) Prec@1 56.250 (59.148) Prec@5 84.375 (80.888) Epoch: [41][4210/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7004 (1.7964) Prec@1 57.812 (59.145) Prec@5 85.156 (80.889) Epoch: [41][4220/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.4899 (1.7963) Prec@1 64.844 (59.148) Prec@5 84.375 (80.891) Epoch: [41][4230/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0753 (1.7964) Prec@1 55.469 (59.147) Prec@5 79.688 (80.890) Epoch: [41][4240/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.3348 (1.7964) Prec@1 66.406 (59.145) Prec@5 86.719 (80.889) Epoch: [41][4250/10010] Time 0.323 (0.331) Data 0.002 (0.001) Loss 1.7544 (1.7963) Prec@1 53.906 (59.144) Prec@5 80.469 (80.893) Epoch: [41][4260/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9663 (1.7964) Prec@1 57.031 (59.148) Prec@5 75.781 (80.892) Epoch: [41][4270/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9572 (1.7966) Prec@1 54.688 (59.143) Prec@5 76.562 (80.888) Epoch: [41][4280/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8928 (1.7967) Prec@1 59.375 (59.139) Prec@5 82.031 (80.887) Epoch: [41][4290/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1163 (1.7969) Prec@1 51.562 (59.137) Prec@5 78.125 (80.888) Epoch: [41][4300/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6994 (1.7970) Prec@1 62.500 (59.137) Prec@5 83.594 (80.886) Epoch: [41][4310/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7392 (1.7971) Prec@1 56.250 (59.133) Prec@5 85.938 (80.886) Epoch: [41][4320/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9375 (1.7973) Prec@1 56.250 (59.131) Prec@5 80.469 (80.885) Epoch: [41][4330/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7761 (1.7974) Prec@1 57.031 (59.131) Prec@5 80.469 (80.882) Epoch: [41][4340/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.7147 (1.7972) Prec@1 62.500 (59.135) Prec@5 87.500 (80.887) Epoch: [41][4350/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9318 (1.7974) Prec@1 55.469 (59.130) Prec@5 79.688 (80.883) Epoch: [41][4360/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8195 (1.7973) Prec@1 59.375 (59.130) Prec@5 81.250 (80.883) /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][4370/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6857 (1.7974) Prec@1 58.594 (59.129) Prec@5 83.594 (80.882) Epoch: [41][4380/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4702 (1.7972) Prec@1 67.969 (59.135) Prec@5 85.938 (80.884) Epoch: [41][4390/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8062 (1.7970) Prec@1 56.250 (59.138) Prec@5 79.688 (80.884) Epoch: [41][4400/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0899 (1.7971) Prec@1 54.688 (59.139) Prec@5 76.562 (80.882) Epoch: [41][4410/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4672 (1.7971) Prec@1 64.062 (59.137) Prec@5 85.938 (80.882) Epoch: [41][4420/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.4139 (1.7970) Prec@1 64.844 (59.138) Prec@5 85.938 (80.884) Epoch: [41][4430/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1840 (1.7971) Prec@1 49.219 (59.136) Prec@5 74.219 (80.884) Epoch: [41][4440/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8091 (1.7970) Prec@1 51.562 (59.138) Prec@5 84.375 (80.889) Epoch: [41][4450/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.9246 (1.7969) Prec@1 60.938 (59.139) Prec@5 79.688 (80.891) Epoch: [41][4460/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8334 (1.7968) Prec@1 57.031 (59.137) Prec@5 81.250 (80.890) Epoch: [41][4470/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7643 (1.7969) Prec@1 58.594 (59.135) Prec@5 81.250 (80.889) Epoch: [41][4480/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8828 (1.7967) Prec@1 57.812 (59.136) Prec@5 75.000 (80.890) Epoch: [41][4490/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.5646 (1.7967) Prec@1 65.625 (59.134) Prec@5 85.938 (80.890) Epoch: [41][4500/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.7254 (1.7966) Prec@1 57.812 (59.134) Prec@5 83.594 (80.892) Epoch: [41][4510/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1656 (1.7967) Prec@1 51.562 (59.131) Prec@5 75.781 (80.892) Epoch: [41][4520/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7403 (1.7967) Prec@1 60.156 (59.132) Prec@5 82.031 (80.888) Epoch: [41][4530/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0638 (1.7968) Prec@1 54.688 (59.129) Prec@5 73.438 (80.888) Epoch: [41][4540/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5997 (1.7968) Prec@1 64.062 (59.131) Prec@5 82.031 (80.886) Epoch: [41][4550/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7394 (1.7970) Prec@1 57.031 (59.123) Prec@5 81.250 (80.883) Epoch: [41][4560/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9214 (1.7969) Prec@1 57.031 (59.126) Prec@5 77.344 (80.882) Epoch: [41][4570/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8981 (1.7970) Prec@1 57.812 (59.125) Prec@5 75.000 (80.881) Epoch: [41][4580/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8141 (1.7971) Prec@1 62.500 (59.121) Prec@5 79.688 (80.879) Epoch: [41][4590/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.6963 (1.7970) Prec@1 60.156 (59.123) Prec@5 80.469 (80.880) Epoch: [41][4600/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6602 (1.7970) Prec@1 65.625 (59.127) Prec@5 81.250 (80.883) Epoch: [41][4610/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8285 (1.7971) Prec@1 53.125 (59.126) Prec@5 80.469 (80.881) Epoch: [41][4620/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7997 (1.7971) Prec@1 53.906 (59.122) Prec@5 82.812 (80.880) Epoch: [41][4630/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6475 (1.7970) Prec@1 64.062 (59.127) Prec@5 79.688 (80.882) Epoch: [41][4640/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1200 (1.7971) Prec@1 54.688 (59.124) Prec@5 74.219 (80.881) Epoch: [41][4650/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 1.8009 (1.7970) Prec@1 54.688 (59.125) Prec@5 77.344 (80.882) Epoch: [41][4660/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5602 (1.7971) Prec@1 62.500 (59.125) Prec@5 82.812 (80.880) Epoch: [41][4670/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6446 (1.7970) Prec@1 67.188 (59.131) Prec@5 83.594 (80.883) Epoch: [41][4680/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9518 (1.7970) Prec@1 53.125 (59.129) Prec@5 77.344 (80.884) Epoch: [41][4690/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 1.7083 (1.7971) Prec@1 58.594 (59.124) Prec@5 83.594 (80.881) Epoch: [41][4700/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8925 (1.7972) Prec@1 62.500 (59.121) Prec@5 78.125 (80.880) Epoch: [41][4710/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5223 (1.7973) Prec@1 65.625 (59.119) Prec@5 85.938 (80.880) Epoch: [41][4720/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.7231 (1.7975) Prec@1 57.812 (59.117) Prec@5 82.031 (80.875) Epoch: [41][4730/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9160 (1.7976) Prec@1 56.250 (59.116) Prec@5 82.812 (80.875) Epoch: [41][4740/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6890 (1.7976) Prec@1 58.594 (59.117) Prec@5 79.688 (80.873) Epoch: [41][4750/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0690 (1.7978) Prec@1 52.344 (59.110) Prec@5 80.469 (80.870) Epoch: [41][4760/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7874 (1.7979) Prec@1 58.594 (59.108) Prec@5 85.156 (80.869) Epoch: [41][4770/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6143 (1.7977) Prec@1 53.125 (59.110) Prec@5 84.375 (80.873) Epoch: [41][4780/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7464 (1.7978) Prec@1 62.500 (59.112) Prec@5 81.250 (80.874) Epoch: [41][4790/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9275 (1.7977) Prec@1 60.156 (59.112) Prec@5 79.688 (80.876) Epoch: [41][4800/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0621 (1.7978) Prec@1 56.250 (59.109) Prec@5 72.656 (80.876) Epoch: [41][4810/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.4991 (1.7977) Prec@1 60.156 (59.110) Prec@5 86.719 (80.879) Epoch: [41][4820/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0535 (1.7979) Prec@1 51.562 (59.106) Prec@5 75.781 (80.880) Epoch: [41][4830/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9178 (1.7980) Prec@1 54.688 (59.108) Prec@5 76.562 (80.877) Epoch: [41][4840/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8877 (1.7980) Prec@1 56.250 (59.109) Prec@5 79.688 (80.876) Epoch: [41][4850/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9363 (1.7980) Prec@1 53.906 (59.105) Prec@5 76.562 (80.877) Epoch: [41][4860/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9510 (1.7980) Prec@1 58.594 (59.103) Prec@5 77.344 (80.877) Epoch: [41][4870/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7671 (1.7980) Prec@1 57.031 (59.103) Prec@5 82.812 (80.879) Epoch: [41][4880/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7534 (1.7979) Prec@1 61.719 (59.105) Prec@5 79.688 (80.879) Epoch: [41][4890/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6144 (1.7979) Prec@1 61.719 (59.105) Prec@5 83.594 (80.878) Epoch: [41][4900/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7277 (1.7979) Prec@1 61.719 (59.108) Prec@5 80.469 (80.877) Epoch: [41][4910/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.1935 (1.7979) Prec@1 51.562 (59.109) Prec@5 74.219 (80.878) Epoch: [41][4920/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5301 (1.7978) Prec@1 65.625 (59.112) Prec@5 83.594 (80.879) Epoch: [41][4930/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7496 (1.7978) Prec@1 57.812 (59.112) Prec@5 81.250 (80.879) Epoch: [41][4940/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9566 (1.7977) Prec@1 54.688 (59.116) Prec@5 75.000 (80.879) Epoch: [41][4950/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0814 (1.7977) Prec@1 50.000 (59.116) Prec@5 75.781 (80.878) Epoch: [41][4960/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.3128 (1.7978) Prec@1 50.000 (59.114) Prec@5 73.438 (80.877) Epoch: [41][4970/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5833 (1.7976) Prec@1 60.156 (59.118) Prec@5 85.938 (80.882) Epoch: [41][4980/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1928 (1.7977) Prec@1 54.688 (59.116) Prec@5 74.219 (80.880) Epoch: [41][4990/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8598 (1.7979) Prec@1 57.812 (59.115) Prec@5 80.469 (80.875) Epoch: [41][5000/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.7179 (1.7979) Prec@1 61.719 (59.116) Prec@5 85.938 (80.878) Epoch: [41][5010/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.7939 (1.7979) Prec@1 64.062 (59.112) Prec@5 85.156 (80.879) Epoch: [41][5020/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7839 (1.7980) Prec@1 57.812 (59.110) Prec@5 80.469 (80.878) Epoch: [41][5030/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6974 (1.7979) Prec@1 61.719 (59.111) Prec@5 81.250 (80.879) Epoch: [41][5040/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8033 (1.7981) Prec@1 60.938 (59.111) Prec@5 82.031 (80.879) Epoch: [41][5050/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5190 (1.7979) Prec@1 59.375 (59.113) Prec@5 88.281 (80.881) Epoch: [41][5060/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5836 (1.7978) Prec@1 60.156 (59.114) Prec@5 87.500 (80.883) Epoch: [41][5070/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 2.0844 (1.7979) Prec@1 50.000 (59.110) Prec@5 75.000 (80.881) Epoch: [41][5080/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6582 (1.7979) Prec@1 63.281 (59.109) Prec@5 80.469 (80.882) Epoch: [41][5090/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7493 (1.7978) Prec@1 60.938 (59.110) Prec@5 82.031 (80.884) Epoch: [41][5100/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7644 (1.7979) Prec@1 58.594 (59.110) Prec@5 79.688 (80.881) Epoch: [41][5110/10010] Time 0.342 (0.331) Data 0.002 (0.001) Loss 2.0189 (1.7980) Prec@1 55.469 (59.107) Prec@5 78.906 (80.879) Epoch: [41][5120/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8797 (1.7981) Prec@1 60.156 (59.106) Prec@5 77.344 (80.874) Epoch: [41][5130/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.4980 (1.7980) Prec@1 67.969 (59.109) Prec@5 84.375 (80.878) Epoch: [41][5140/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7326 (1.7981) Prec@1 60.938 (59.106) Prec@5 83.594 (80.874) Epoch: [41][5150/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9176 (1.7983) Prec@1 58.594 (59.105) Prec@5 81.250 (80.874) Epoch: [41][5160/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7590 (1.7981) Prec@1 61.719 (59.107) Prec@5 82.031 (80.877) Epoch: [41][5170/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8925 (1.7981) Prec@1 53.906 (59.106) Prec@5 78.906 (80.876) Epoch: [41][5180/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0240 (1.7984) Prec@1 53.125 (59.105) Prec@5 77.344 (80.875) Epoch: [41][5190/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9385 (1.7983) Prec@1 50.781 (59.103) Prec@5 78.125 (80.878) Epoch: [41][5200/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6723 (1.7985) Prec@1 61.719 (59.100) Prec@5 80.469 (80.876) Epoch: [41][5210/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8705 (1.7986) Prec@1 59.375 (59.096) Prec@5 76.562 (80.872) Epoch: [41][5220/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7873 (1.7985) Prec@1 58.594 (59.101) Prec@5 81.250 (80.876) Epoch: [41][5230/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8474 (1.7987) Prec@1 60.938 (59.100) Prec@5 78.906 (80.874) Epoch: [41][5240/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8590 (1.7987) Prec@1 57.812 (59.103) Prec@5 78.125 (80.871) Epoch: [41][5250/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8320 (1.7988) Prec@1 63.281 (59.101) Prec@5 78.125 (80.871) Epoch: [41][5260/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6506 (1.7989) Prec@1 59.375 (59.100) Prec@5 83.594 (80.869) Epoch: [41][5270/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6256 (1.7990) Prec@1 60.938 (59.094) Prec@5 84.375 (80.868) Epoch: [41][5280/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7446 (1.7992) Prec@1 63.281 (59.091) Prec@5 82.812 (80.863) Epoch: [41][5290/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7689 (1.7990) Prec@1 61.719 (59.094) Prec@5 80.469 (80.867) Epoch: [41][5300/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.4204 (1.7989) Prec@1 68.750 (59.096) Prec@5 85.156 (80.865) Epoch: [41][5310/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9564 (1.7989) Prec@1 60.156 (59.100) Prec@5 78.125 (80.866) Epoch: [41][5320/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9233 (1.7988) Prec@1 54.688 (59.098) Prec@5 77.344 (80.867) Epoch: [41][5330/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.3195 (1.7988) Prec@1 46.875 (59.103) Prec@5 72.656 (80.867) Epoch: [41][5340/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.9086 (1.7987) Prec@1 56.250 (59.104) Prec@5 82.031 (80.869) Epoch: [41][5350/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.5891 (1.7986) Prec@1 61.719 (59.106) Prec@5 83.594 (80.870) Epoch: [41][5360/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0288 (1.7988) Prec@1 49.219 (59.103) Prec@5 78.906 (80.868) Epoch: [41][5370/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.4382 (1.7990) Prec@1 67.188 (59.100) Prec@5 83.594 (80.863) Epoch: [41][5380/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.5708 (1.7989) Prec@1 60.938 (59.100) Prec@5 82.812 (80.864) Epoch: [41][5390/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6412 (1.7987) Prec@1 65.625 (59.102) Prec@5 85.156 (80.867) Epoch: [41][5400/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5331 (1.7987) Prec@1 67.969 (59.100) Prec@5 86.719 (80.867) Epoch: [41][5410/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.2987 (1.7987) Prec@1 49.219 (59.101) Prec@5 75.000 (80.868) Epoch: [41][5420/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7332 (1.7988) Prec@1 63.281 (59.098) Prec@5 82.812 (80.866) Epoch: [41][5430/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8099 (1.7989) Prec@1 53.906 (59.095) Prec@5 81.250 (80.863) Epoch: [41][5440/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8129 (1.7992) Prec@1 60.156 (59.090) Prec@5 81.250 (80.861) Epoch: [41][5450/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7003 (1.7991) Prec@1 58.594 (59.089) Prec@5 78.125 (80.861) Epoch: [41][5460/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 2.1275 (1.7992) Prec@1 55.469 (59.089) Prec@5 76.562 (80.863) Epoch: [41][5470/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9224 (1.7992) Prec@1 57.812 (59.089) Prec@5 78.906 (80.864) Epoch: [41][5480/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1279 (1.7993) Prec@1 56.250 (59.088) Prec@5 75.781 (80.863) Epoch: [41][5490/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.0565 (1.7993) Prec@1 60.156 (59.090) Prec@5 75.781 (80.864) Epoch: [41][5500/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9059 (1.7993) Prec@1 60.938 (59.094) Prec@5 80.469 (80.866) Epoch: [41][5510/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.5454 (1.7991) Prec@1 64.844 (59.096) Prec@5 82.031 (80.869) Epoch: [41][5520/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7714 (1.7991) Prec@1 61.719 (59.093) Prec@5 74.219 (80.868) Epoch: [41][5530/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0181 (1.7992) Prec@1 57.812 (59.090) Prec@5 78.125 (80.867) Epoch: [41][5540/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8020 (1.7994) Prec@1 59.375 (59.088) Prec@5 82.812 (80.865) Epoch: [41][5550/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8302 (1.7993) Prec@1 60.156 (59.091) Prec@5 78.125 (80.864) Epoch: [41][5560/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.8153 (1.7991) Prec@1 57.031 (59.093) Prec@5 79.688 (80.868) Epoch: [41][5570/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0125 (1.7994) Prec@1 54.688 (59.085) Prec@5 78.906 (80.864) Epoch: [41][5580/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0735 (1.7993) Prec@1 50.000 (59.087) Prec@5 74.219 (80.867) Epoch: [41][5590/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8032 (1.7994) Prec@1 57.812 (59.085) Prec@5 76.562 (80.864) Epoch: [41][5600/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7239 (1.7993) Prec@1 65.625 (59.088) Prec@5 80.469 (80.863) Epoch: [41][5610/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7379 (1.7993) Prec@1 57.031 (59.089) Prec@5 81.250 (80.863) Epoch: [41][5620/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9485 (1.7993) Prec@1 51.562 (59.088) Prec@5 75.000 (80.860) Epoch: [41][5630/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8392 (1.7993) Prec@1 57.031 (59.092) Prec@5 80.469 (80.859) Epoch: [41][5640/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6947 (1.7992) Prec@1 60.156 (59.092) Prec@5 82.812 (80.861) Epoch: [41][5650/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9408 (1.7993) Prec@1 56.250 (59.092) Prec@5 80.469 (80.859) Epoch: [41][5660/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6388 (1.7993) Prec@1 59.375 (59.093) Prec@5 82.031 (80.859) Epoch: [41][5670/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7463 (1.7993) Prec@1 62.500 (59.091) Prec@5 79.688 (80.858) Epoch: [41][5680/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8034 (1.7995) Prec@1 52.344 (59.085) Prec@5 79.688 (80.856) Epoch: [41][5690/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6239 (1.7993) Prec@1 62.500 (59.089) Prec@5 83.594 (80.857) Epoch: [41][5700/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8260 (1.7993) Prec@1 58.594 (59.089) Prec@5 81.250 (80.861) Epoch: [41][5710/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9192 (1.7994) Prec@1 54.688 (59.087) Prec@5 78.906 (80.859) Epoch: [41][5720/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7192 (1.7994) Prec@1 62.500 (59.088) Prec@5 81.250 (80.858) Epoch: [41][5730/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0168 (1.7994) Prec@1 54.688 (59.089) Prec@5 77.344 (80.858) Epoch: [41][5740/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.2178 (1.7994) Prec@1 52.344 (59.089) Prec@5 74.219 (80.858) Epoch: [41][5750/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.7363 (1.7996) Prec@1 63.281 (59.087) Prec@5 78.906 (80.856) Epoch: [41][5760/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.0044 (1.7996) Prec@1 57.031 (59.087) Prec@5 78.125 (80.857) Epoch: [41][5770/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.0677 (1.7997) Prec@1 53.125 (59.085) Prec@5 76.562 (80.853) Epoch: [41][5780/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7098 (1.7999) Prec@1 58.594 (59.082) Prec@5 82.812 (80.852) Epoch: [41][5790/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5142 (1.7999) Prec@1 67.969 (59.081) Prec@5 85.938 (80.853) Epoch: [41][5800/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.5071 (1.7998) Prec@1 61.719 (59.083) Prec@5 85.156 (80.855) Epoch: [41][5810/10010] Time 0.325 (0.331) Data 0.002 (0.001) Loss 1.5915 (1.8000) Prec@1 60.938 (59.081) Prec@5 84.375 (80.852) Epoch: [41][5820/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.2678 (1.8000) Prec@1 49.219 (59.080) Prec@5 74.219 (80.850) Epoch: [41][5830/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7394 (1.8001) Prec@1 55.469 (59.081) Prec@5 83.594 (80.848) Epoch: [41][5840/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7407 (1.8002) Prec@1 57.812 (59.082) Prec@5 80.469 (80.846) Epoch: [41][5850/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8711 (1.8003) Prec@1 60.156 (59.078) Prec@5 78.125 (80.844) Epoch: [41][5860/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0574 (1.8005) Prec@1 57.812 (59.075) Prec@5 75.781 (80.841) Epoch: [41][5870/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.6983 (1.8005) Prec@1 57.812 (59.073) Prec@5 80.469 (80.840) Epoch: [41][5880/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7393 (1.8007) Prec@1 59.375 (59.069) Prec@5 82.031 (80.838) Epoch: [41][5890/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7376 (1.8007) Prec@1 60.938 (59.070) Prec@5 80.469 (80.837) Epoch: [41][5900/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8771 (1.8009) Prec@1 54.688 (59.069) Prec@5 81.250 (80.834) Epoch: [41][5910/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7751 (1.8009) Prec@1 53.125 (59.067) Prec@5 81.250 (80.836) Epoch: [41][5920/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0759 (1.8010) Prec@1 58.594 (59.067) Prec@5 75.781 (80.833) Epoch: [41][5930/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6378 (1.8011) Prec@1 63.281 (59.063) Prec@5 82.812 (80.831) Epoch: [41][5940/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7624 (1.8012) Prec@1 64.062 (59.066) Prec@5 79.688 (80.829) Epoch: [41][5950/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6204 (1.8012) Prec@1 58.594 (59.065) Prec@5 82.031 (80.827) Epoch: [41][5960/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7377 (1.8011) Prec@1 60.938 (59.065) Prec@5 82.031 (80.829) Epoch: [41][5970/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.6815 (1.8013) Prec@1 64.844 (59.062) Prec@5 78.906 (80.828) Epoch: [41][5980/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.5805 (1.8012) Prec@1 65.625 (59.062) Prec@5 85.156 (80.827) Epoch: [41][5990/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6865 (1.8013) Prec@1 62.500 (59.061) Prec@5 80.469 (80.827) Epoch: [41][6000/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8280 (1.8014) Prec@1 56.250 (59.059) Prec@5 79.688 (80.826) Epoch: [41][6010/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.4166 (1.8015) Prec@1 63.281 (59.056) Prec@5 85.938 (80.824) Epoch: [41][6020/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8204 (1.8015) Prec@1 61.719 (59.059) Prec@5 78.906 (80.824) Epoch: [41][6030/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.3624 (1.8013) Prec@1 68.750 (59.062) Prec@5 89.062 (80.827) Epoch: [41][6040/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6996 (1.8013) Prec@1 59.375 (59.062) Prec@5 82.812 (80.829) Epoch: [41][6050/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.8696 (1.8014) Prec@1 60.938 (59.062) Prec@5 79.688 (80.828) Epoch: [41][6060/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9079 (1.8014) Prec@1 57.812 (59.062) Prec@5 78.906 (80.827) Epoch: [41][6070/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6627 (1.8015) Prec@1 62.500 (59.063) Prec@5 83.594 (80.824) Epoch: [41][6080/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5282 (1.8013) Prec@1 64.844 (59.067) Prec@5 82.031 (80.825) Epoch: [41][6090/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9150 (1.8015) Prec@1 54.688 (59.065) Prec@5 80.469 (80.825) Epoch: [41][6100/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6876 (1.8014) Prec@1 55.469 (59.063) Prec@5 83.594 (80.826) Epoch: [41][6110/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5913 (1.8014) Prec@1 60.156 (59.062) Prec@5 83.594 (80.828) Epoch: [41][6120/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6453 (1.8013) Prec@1 63.281 (59.063) Prec@5 83.594 (80.830) Epoch: [41][6130/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.4850 (1.8013) Prec@1 60.938 (59.061) Prec@5 83.594 (80.830) Epoch: [41][6140/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7521 (1.8012) Prec@1 58.594 (59.059) Prec@5 80.469 (80.829) Epoch: [41][6150/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9099 (1.8014) Prec@1 55.469 (59.057) Prec@5 78.906 (80.828) Epoch: [41][6160/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9617 (1.8015) Prec@1 54.688 (59.057) Prec@5 77.344 (80.825) Epoch: [41][6170/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.1304 (1.8015) Prec@1 53.906 (59.054) Prec@5 80.469 (80.826) Epoch: [41][6180/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6321 (1.8014) Prec@1 57.812 (59.055) Prec@5 83.594 (80.828) Epoch: [41][6190/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1159 (1.8014) Prec@1 53.125 (59.051) Prec@5 77.344 (80.827) Epoch: [41][6200/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.3891 (1.8012) Prec@1 66.406 (59.057) Prec@5 85.156 (80.828) Epoch: [41][6210/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5446 (1.8011) Prec@1 59.375 (59.059) Prec@5 85.156 (80.829) Epoch: [41][6220/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.8030 (1.8011) Prec@1 60.938 (59.057) Prec@5 79.688 (80.829) Epoch: [41][6230/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7217 (1.8011) Prec@1 58.594 (59.059) Prec@5 81.250 (80.829) Epoch: [41][6240/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8099 (1.8012) Prec@1 62.500 (59.058) Prec@5 82.031 (80.827) Epoch: [41][6250/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1201 (1.8012) Prec@1 57.031 (59.057) Prec@5 75.781 (80.826) Epoch: [41][6260/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9613 (1.8013) Prec@1 57.812 (59.056) Prec@5 80.469 (80.827) Epoch: [41][6270/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9968 (1.8015) Prec@1 55.469 (59.053) Prec@5 76.562 (80.824) Epoch: [41][6280/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6775 (1.8014) Prec@1 57.031 (59.051) Prec@5 85.938 (80.824) Epoch: [41][6290/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0413 (1.8015) Prec@1 60.156 (59.050) Prec@5 74.219 (80.823) Epoch: [41][6300/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0791 (1.8015) Prec@1 51.562 (59.048) Prec@5 78.125 (80.822) Epoch: [41][6310/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0995 (1.8015) Prec@1 54.688 (59.046) Prec@5 77.344 (80.823) Epoch: [41][6320/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6261 (1.8016) Prec@1 62.500 (59.045) Prec@5 85.938 (80.822) Epoch: [41][6330/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7585 (1.8016) Prec@1 59.375 (59.044) Prec@5 80.469 (80.822) Epoch: [41][6340/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8469 (1.8016) Prec@1 57.031 (59.044) Prec@5 85.156 (80.823) Epoch: [41][6350/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.2513 (1.8017) Prec@1 71.875 (59.043) Prec@5 88.281 (80.821) Epoch: [41][6360/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5322 (1.8017) Prec@1 62.500 (59.043) Prec@5 87.500 (80.821) Epoch: [41][6370/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9325 (1.8017) Prec@1 53.125 (59.043) Prec@5 81.250 (80.819) Epoch: [41][6380/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9071 (1.8019) Prec@1 53.906 (59.039) Prec@5 82.031 (80.818) Epoch: [41][6390/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7160 (1.8018) Prec@1 60.156 (59.040) Prec@5 81.250 (80.820) Epoch: [41][6400/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6662 (1.8019) Prec@1 60.156 (59.039) Prec@5 83.594 (80.821) Epoch: [41][6410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9225 (1.8019) Prec@1 61.719 (59.039) Prec@5 80.469 (80.823) Epoch: [41][6420/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.4344 (1.8019) Prec@1 64.844 (59.039) Prec@5 86.719 (80.823) Epoch: [41][6430/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7674 (1.8021) Prec@1 59.375 (59.037) Prec@5 82.812 (80.819) Epoch: [41][6440/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2146 (1.8022) Prec@1 52.344 (59.037) Prec@5 74.219 (80.817) Epoch: [41][6450/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9760 (1.8023) Prec@1 57.031 (59.034) Prec@5 77.344 (80.815) Epoch: [41][6460/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.2982 (1.8025) Prec@1 47.656 (59.031) Prec@5 72.656 (80.813) Epoch: [41][6470/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9826 (1.8025) Prec@1 55.469 (59.031) Prec@5 78.906 (80.812) Epoch: [41][6480/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8432 (1.8024) Prec@1 57.812 (59.034) Prec@5 80.469 (80.815) Epoch: [41][6490/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.0326 (1.8025) Prec@1 51.562 (59.031) Prec@5 75.781 (80.813) Epoch: [41][6500/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6901 (1.8026) Prec@1 59.375 (59.032) Prec@5 83.594 (80.814) Epoch: [41][6510/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7329 (1.8026) Prec@1 63.281 (59.032) Prec@5 80.469 (80.814) Epoch: [41][6520/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7858 (1.8026) Prec@1 57.031 (59.031) Prec@5 81.250 (80.812) Epoch: [41][6530/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8876 (1.8028) Prec@1 57.812 (59.027) Prec@5 76.562 (80.810) Epoch: [41][6540/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.5572 (1.8027) Prec@1 65.625 (59.028) Prec@5 81.250 (80.810) Epoch: [41][6550/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8051 (1.8028) Prec@1 59.375 (59.027) Prec@5 78.906 (80.807) Epoch: [41][6560/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.5640 (1.8028) Prec@1 61.719 (59.026) Prec@5 82.031 (80.809) Epoch: [41][6570/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5635 (1.8028) Prec@1 61.719 (59.025) Prec@5 85.938 (80.810) Epoch: [41][6580/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.5841 (1.8028) Prec@1 61.719 (59.022) Prec@5 83.594 (80.811) Epoch: [41][6590/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9057 (1.8029) Prec@1 57.812 (59.021) Prec@5 80.469 (80.809) Epoch: [41][6600/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6898 (1.8030) Prec@1 62.500 (59.018) Prec@5 82.812 (80.808) Epoch: [41][6610/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1565 (1.8031) Prec@1 57.031 (59.016) Prec@5 74.219 (80.807) Epoch: [41][6620/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9575 (1.8031) Prec@1 60.156 (59.017) Prec@5 77.344 (80.806) Epoch: [41][6630/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.1254 (1.8031) Prec@1 59.375 (59.016) Prec@5 80.469 (80.805) Epoch: [41][6640/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6075 (1.8032) Prec@1 59.375 (59.017) Prec@5 85.156 (80.805) Epoch: [41][6650/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.2670 (1.8033) Prec@1 49.219 (59.014) Prec@5 72.656 (80.803) Epoch: [41][6660/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5944 (1.8033) Prec@1 63.281 (59.013) Prec@5 83.594 (80.802) Epoch: [41][6670/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6891 (1.8033) Prec@1 58.594 (59.015) Prec@5 83.594 (80.803) Epoch: [41][6680/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5736 (1.8033) Prec@1 65.625 (59.015) Prec@5 84.375 (80.800) Epoch: [41][6690/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0694 (1.8032) Prec@1 54.688 (59.019) Prec@5 78.125 (80.804) Epoch: [41][6700/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1341 (1.8034) Prec@1 53.125 (59.015) Prec@5 79.688 (80.803) Epoch: [41][6710/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7660 (1.8034) Prec@1 57.031 (59.018) Prec@5 82.031 (80.803) Epoch: [41][6720/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7649 (1.8034) Prec@1 62.500 (59.018) Prec@5 82.031 (80.803) Epoch: [41][6730/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.5310 (1.8036) Prec@1 60.938 (59.013) Prec@5 87.500 (80.800) Epoch: [41][6740/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8659 (1.8036) Prec@1 53.125 (59.014) Prec@5 82.031 (80.800) Epoch: [41][6750/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5620 (1.8037) Prec@1 66.406 (59.012) Prec@5 86.719 (80.801) Epoch: [41][6760/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7708 (1.8037) Prec@1 59.375 (59.008) Prec@5 79.688 (80.799) Epoch: [41][6770/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.1651 (1.8038) Prec@1 50.781 (59.004) Prec@5 76.562 (80.797) Epoch: [41][6780/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.5568 (1.8038) Prec@1 61.719 (59.003) Prec@5 83.594 (80.798) Epoch: [41][6790/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7378 (1.8038) Prec@1 62.500 (59.004) Prec@5 82.031 (80.797) Epoch: [41][6800/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7410 (1.8038) Prec@1 61.719 (59.004) Prec@5 83.594 (80.797) Epoch: [41][6810/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7324 (1.8038) Prec@1 58.594 (59.004) Prec@5 82.031 (80.798) Epoch: [41][6820/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7339 (1.8038) Prec@1 60.156 (59.004) Prec@5 81.250 (80.797) Epoch: [41][6830/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7748 (1.8038) Prec@1 60.938 (59.006) Prec@5 82.812 (80.798) Epoch: [41][6840/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8624 (1.8038) Prec@1 56.250 (59.005) Prec@5 78.906 (80.799) Epoch: [41][6850/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7002 (1.8038) Prec@1 57.031 (59.003) Prec@5 85.938 (80.798) Epoch: [41][6860/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0184 (1.8040) Prec@1 50.000 (59.000) Prec@5 78.906 (80.795) Epoch: [41][6870/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6648 (1.8040) Prec@1 61.719 (58.999) Prec@5 84.375 (80.794) Epoch: [41][6880/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8831 (1.8040) Prec@1 58.594 (59.001) Prec@5 78.906 (80.795) Epoch: [41][6890/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6947 (1.8043) Prec@1 59.375 (58.995) Prec@5 85.938 (80.792) Epoch: [41][6900/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9418 (1.8041) Prec@1 60.156 (58.998) Prec@5 78.906 (80.793) Epoch: [41][6910/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7547 (1.8042) Prec@1 60.938 (58.999) Prec@5 79.688 (80.794) Epoch: [41][6920/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8319 (1.8041) Prec@1 57.031 (59.000) Prec@5 81.250 (80.793) Epoch: [41][6930/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6274 (1.8042) Prec@1 59.375 (59.000) Prec@5 81.250 (80.794) Epoch: [41][6940/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8076 (1.8043) Prec@1 59.375 (58.998) Prec@5 82.031 (80.794) Epoch: [41][6950/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7175 (1.8042) Prec@1 62.500 (59.000) Prec@5 85.938 (80.798) Epoch: [41][6960/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0346 (1.8043) Prec@1 49.219 (58.998) Prec@5 79.688 (80.799) Epoch: [41][6970/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6756 (1.8042) Prec@1 63.281 (58.999) Prec@5 82.031 (80.799) Epoch: [41][6980/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.5926 (1.8041) Prec@1 63.281 (58.999) Prec@5 85.938 (80.800) Epoch: [41][6990/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9225 (1.8042) Prec@1 53.906 (58.999) Prec@5 81.250 (80.800) Epoch: [41][7000/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9577 (1.8044) Prec@1 59.375 (58.994) Prec@5 80.469 (80.797) Epoch: [41][7010/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6693 (1.8043) Prec@1 57.812 (58.996) Prec@5 84.375 (80.800) Epoch: [41][7020/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8829 (1.8044) Prec@1 56.250 (58.994) Prec@5 78.906 (80.799) Epoch: [41][7030/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7794 (1.8043) Prec@1 53.906 (58.994) Prec@5 82.031 (80.801) Epoch: [41][7040/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7479 (1.8043) Prec@1 63.281 (58.996) Prec@5 83.594 (80.803) Epoch: [41][7050/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.3506 (1.8041) Prec@1 68.750 (59.000) Prec@5 87.500 (80.806) Epoch: [41][7060/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8201 (1.8040) Prec@1 57.812 (59.001) Prec@5 82.812 (80.809) Epoch: [41][7070/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8332 (1.8039) Prec@1 57.031 (59.002) Prec@5 82.812 (80.810) Epoch: [41][7080/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7308 (1.8040) Prec@1 64.844 (59.001) Prec@5 82.812 (80.809) Epoch: [41][7090/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.3717 (1.8039) Prec@1 68.750 (59.003) Prec@5 87.500 (80.808) Epoch: [41][7100/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9614 (1.8041) Prec@1 51.562 (59.001) Prec@5 78.125 (80.806) Epoch: [41][7110/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9149 (1.8043) Prec@1 57.812 (58.996) Prec@5 79.688 (80.800) Epoch: [41][7120/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7536 (1.8042) Prec@1 60.938 (58.997) Prec@5 83.594 (80.801) Epoch: [41][7130/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9133 (1.8044) Prec@1 60.938 (58.992) Prec@5 78.906 (80.797) Epoch: [41][7140/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7912 (1.8045) Prec@1 58.594 (58.990) Prec@5 82.031 (80.797) Epoch: [41][7150/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7155 (1.8047) Prec@1 62.500 (58.987) Prec@5 85.156 (80.795) Epoch: [41][7160/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7309 (1.8047) Prec@1 62.500 (58.987) Prec@5 82.031 (80.795) Epoch: [41][7170/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5082 (1.8046) Prec@1 64.062 (58.986) Prec@5 85.156 (80.796) Epoch: [41][7180/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6426 (1.8048) Prec@1 63.281 (58.983) Prec@5 83.594 (80.793) Epoch: [41][7190/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7180 (1.8050) Prec@1 59.375 (58.982) Prec@5 81.250 (80.791) Epoch: [41][7200/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8159 (1.8050) Prec@1 59.375 (58.984) Prec@5 78.125 (80.791) Epoch: [41][7210/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8680 (1.8048) Prec@1 57.812 (58.986) Prec@5 82.812 (80.793) Epoch: [41][7220/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5407 (1.8048) Prec@1 65.625 (58.988) Prec@5 85.156 (80.795) Epoch: [41][7230/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7080 (1.8048) Prec@1 56.250 (58.986) Prec@5 85.938 (80.796) Epoch: [41][7240/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7442 (1.8049) Prec@1 65.625 (58.987) Prec@5 82.031 (80.794) Epoch: [41][7250/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8032 (1.8048) Prec@1 55.469 (58.988) Prec@5 80.469 (80.795) Epoch: [41][7260/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7825 (1.8048) Prec@1 61.719 (58.988) Prec@5 80.469 (80.793) Epoch: [41][7270/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7399 (1.8047) Prec@1 60.156 (58.989) Prec@5 78.125 (80.793) Epoch: [41][7280/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0163 (1.8048) Prec@1 57.031 (58.988) Prec@5 73.438 (80.792) Epoch: [41][7290/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7381 (1.8049) Prec@1 55.469 (58.986) Prec@5 82.812 (80.792) Epoch: [41][7300/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0712 (1.8050) Prec@1 56.250 (58.986) Prec@5 77.344 (80.790) Epoch: [41][7310/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9298 (1.8050) Prec@1 59.375 (58.986) Prec@5 78.906 (80.789) Epoch: [41][7320/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9541 (1.8050) Prec@1 53.906 (58.984) Prec@5 78.906 (80.789) Epoch: [41][7330/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5748 (1.8050) Prec@1 61.719 (58.984) Prec@5 82.812 (80.790) Epoch: [41][7340/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7673 (1.8051) Prec@1 57.031 (58.983) Prec@5 78.125 (80.788) Epoch: [41][7350/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6915 (1.8050) Prec@1 57.031 (58.983) Prec@5 80.469 (80.789) Epoch: [41][7360/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8302 (1.8050) Prec@1 54.688 (58.984) Prec@5 82.031 (80.789) Epoch: [41][7370/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9836 (1.8049) Prec@1 57.812 (58.986) Prec@5 79.688 (80.791) Epoch: [41][7380/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0368 (1.8050) Prec@1 53.906 (58.985) Prec@5 78.125 (80.790) Epoch: [41][7390/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7969 (1.8050) Prec@1 54.688 (58.982) Prec@5 79.688 (80.789) Epoch: [41][7400/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0288 (1.8050) Prec@1 57.031 (58.985) Prec@5 73.438 (80.790) Epoch: [41][7410/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7864 (1.8050) Prec@1 62.500 (58.988) Prec@5 78.125 (80.790) Epoch: [41][7420/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0903 (1.8050) Prec@1 51.562 (58.987) Prec@5 78.906 (80.788) Epoch: [41][7430/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7489 (1.8050) Prec@1 57.812 (58.987) Prec@5 80.469 (80.788) Epoch: [41][7440/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9755 (1.8051) Prec@1 55.469 (58.984) Prec@5 80.469 (80.787) Epoch: [41][7450/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5904 (1.8050) Prec@1 62.500 (58.985) Prec@5 85.938 (80.789) Epoch: [41][7460/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7949 (1.8051) Prec@1 53.906 (58.983) Prec@5 80.469 (80.787) Epoch: [41][7470/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6620 (1.8052) Prec@1 59.375 (58.982) Prec@5 82.812 (80.785) Epoch: [41][7480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6688 (1.8052) Prec@1 66.406 (58.983) Prec@5 81.250 (80.784) Epoch: [41][7490/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.2902 (1.8053) Prec@1 54.688 (58.981) Prec@5 72.656 (80.783) Epoch: [41][7500/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8282 (1.8052) Prec@1 56.250 (58.982) Prec@5 80.469 (80.784) Epoch: [41][7510/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0202 (1.8052) Prec@1 55.469 (58.982) Prec@5 76.562 (80.785) Epoch: [41][7520/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0071 (1.8053) Prec@1 51.562 (58.982) Prec@5 79.688 (80.784) Epoch: [41][7530/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5891 (1.8052) Prec@1 62.500 (58.984) Prec@5 81.250 (80.785) Epoch: [41][7540/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9486 (1.8052) Prec@1 51.562 (58.983) Prec@5 75.000 (80.785) Epoch: [41][7550/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8220 (1.8051) Prec@1 57.812 (58.983) Prec@5 84.375 (80.787) Epoch: [41][7560/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8704 (1.8052) Prec@1 53.906 (58.981) Prec@5 81.250 (80.787) Epoch: [41][7570/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7785 (1.8052) Prec@1 57.812 (58.982) Prec@5 79.688 (80.787) Epoch: [41][7580/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9111 (1.8050) Prec@1 57.812 (58.985) Prec@5 78.125 (80.789) Epoch: [41][7590/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9709 (1.8051) Prec@1 53.906 (58.983) Prec@5 79.688 (80.786) Epoch: [41][7600/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9033 (1.8051) Prec@1 58.594 (58.982) Prec@5 80.469 (80.788) Epoch: [41][7610/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6356 (1.8050) Prec@1 59.375 (58.983) Prec@5 82.031 (80.789) Epoch: [41][7620/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8051 (1.8052) Prec@1 56.250 (58.981) Prec@5 80.469 (80.787) Epoch: [41][7630/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8020 (1.8051) Prec@1 60.156 (58.981) Prec@5 82.031 (80.788) Epoch: [41][7640/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.1158 (1.8051) Prec@1 61.719 (58.981) Prec@5 80.469 (80.789) Epoch: [41][7650/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9968 (1.8052) Prec@1 54.688 (58.980) Prec@5 78.906 (80.789) Epoch: [41][7660/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7132 (1.8051) Prec@1 60.938 (58.982) Prec@5 84.375 (80.790) Epoch: [41][7670/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8731 (1.8053) Prec@1 57.031 (58.978) Prec@5 79.688 (80.787) Epoch: [41][7680/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9096 (1.8054) Prec@1 59.375 (58.977) Prec@5 79.688 (80.786) Epoch: [41][7690/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7963 (1.8054) Prec@1 58.594 (58.976) Prec@5 81.250 (80.786) Epoch: [41][7700/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6450 (1.8055) Prec@1 63.281 (58.977) Prec@5 85.938 (80.786) Epoch: [41][7710/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8579 (1.8056) Prec@1 61.719 (58.976) Prec@5 82.812 (80.786) Epoch: [41][7720/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9829 (1.8056) Prec@1 53.125 (58.975) Prec@5 78.125 (80.786) Epoch: [41][7730/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6986 (1.8057) Prec@1 64.062 (58.974) Prec@5 82.812 (80.784) Epoch: [41][7740/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9989 (1.8058) Prec@1 53.906 (58.972) Prec@5 79.688 (80.781) Epoch: [41][7750/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9005 (1.8058) Prec@1 57.812 (58.969) Prec@5 78.125 (80.781) Epoch: [41][7760/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.9296 (1.8059) Prec@1 57.812 (58.965) Prec@5 81.250 (80.780) Epoch: [41][7770/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5873 (1.8058) Prec@1 60.156 (58.966) Prec@5 82.031 (80.782) Epoch: [41][7780/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9270 (1.8060) Prec@1 57.031 (58.961) Prec@5 78.125 (80.780) Epoch: [41][7790/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9386 (1.8060) Prec@1 58.594 (58.961) Prec@5 82.031 (80.781) Epoch: [41][7800/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5978 (1.8059) Prec@1 61.719 (58.962) Prec@5 86.719 (80.781) Epoch: [41][7810/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.1757 (1.8060) Prec@1 53.125 (58.961) Prec@5 76.562 (80.781) Epoch: [41][7820/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7787 (1.8059) Prec@1 63.281 (58.961) Prec@5 80.469 (80.782) Epoch: [41][7830/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6334 (1.8060) Prec@1 66.406 (58.959) Prec@5 85.156 (80.781) Epoch: [41][7840/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7539 (1.8060) Prec@1 62.500 (58.959) Prec@5 80.469 (80.779) Epoch: [41][7850/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5596 (1.8060) Prec@1 64.062 (58.957) Prec@5 82.812 (80.779) Epoch: [41][7860/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.5143 (1.8060) Prec@1 63.281 (58.960) Prec@5 89.844 (80.780) Epoch: [41][7870/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7297 (1.8060) Prec@1 60.938 (58.958) Prec@5 82.031 (80.780) /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][7880/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.1907 (1.8062) Prec@1 53.906 (58.955) Prec@5 75.000 (80.778) Epoch: [41][7890/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7162 (1.8061) Prec@1 56.250 (58.956) Prec@5 81.250 (80.778) Epoch: [41][7900/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5294 (1.8063) Prec@1 65.625 (58.953) Prec@5 82.812 (80.775) Epoch: [41][7910/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6405 (1.8062) Prec@1 64.062 (58.953) Prec@5 83.594 (80.777) Epoch: [41][7920/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6752 (1.8063) Prec@1 63.281 (58.953) Prec@5 83.594 (80.776) Epoch: [41][7930/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7162 (1.8063) Prec@1 59.375 (58.953) Prec@5 82.812 (80.777) Epoch: [41][7940/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9307 (1.8065) Prec@1 62.500 (58.953) Prec@5 80.469 (80.776) Epoch: [41][7950/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7984 (1.8064) Prec@1 60.938 (58.952) Prec@5 82.812 (80.776) Epoch: [41][7960/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7998 (1.8064) Prec@1 56.250 (58.953) Prec@5 80.469 (80.778) Epoch: [41][7970/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8516 (1.8065) Prec@1 57.812 (58.950) Prec@5 81.250 (80.777) Epoch: [41][7980/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7772 (1.8064) Prec@1 56.250 (58.949) Prec@5 81.250 (80.779) Epoch: [41][7990/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7634 (1.8063) Prec@1 57.812 (58.949) Prec@5 83.594 (80.781) Epoch: [41][8000/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6204 (1.8061) Prec@1 60.156 (58.951) Prec@5 82.812 (80.784) Epoch: [41][8010/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9392 (1.8063) Prec@1 57.031 (58.948) Prec@5 78.125 (80.783) Epoch: [41][8020/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6677 (1.8062) Prec@1 60.938 (58.948) Prec@5 79.688 (80.783) Epoch: [41][8030/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9774 (1.8062) Prec@1 55.469 (58.948) Prec@5 79.688 (80.783) Epoch: [41][8040/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5421 (1.8062) Prec@1 61.719 (58.949) Prec@5 83.594 (80.783) Epoch: [41][8050/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8147 (1.8063) Prec@1 53.125 (58.947) Prec@5 82.812 (80.784) Epoch: [41][8060/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7372 (1.8062) Prec@1 53.906 (58.945) Prec@5 82.031 (80.785) Epoch: [41][8070/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7281 (1.8063) Prec@1 55.469 (58.944) Prec@5 79.688 (80.785) Epoch: [41][8080/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9441 (1.8063) Prec@1 57.812 (58.946) Prec@5 77.344 (80.786) Epoch: [41][8090/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7166 (1.8063) Prec@1 56.250 (58.943) Prec@5 85.938 (80.785) Epoch: [41][8100/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8188 (1.8064) Prec@1 51.562 (58.940) Prec@5 81.250 (80.784) Epoch: [41][8110/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8080 (1.8064) Prec@1 61.719 (58.939) Prec@5 81.250 (80.785) Epoch: [41][8120/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9820 (1.8064) Prec@1 60.938 (58.941) Prec@5 78.125 (80.787) Epoch: [41][8130/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9255 (1.8066) Prec@1 58.594 (58.940) Prec@5 79.688 (80.784) Epoch: [41][8140/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7477 (1.8065) Prec@1 58.594 (58.940) Prec@5 85.156 (80.784) Epoch: [41][8150/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6060 (1.8066) Prec@1 64.844 (58.938) Prec@5 83.594 (80.782) Epoch: [41][8160/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.5015 (1.8066) Prec@1 67.969 (58.938) Prec@5 85.156 (80.781) Epoch: [41][8170/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7762 (1.8067) Prec@1 60.938 (58.938) Prec@5 85.156 (80.781) Epoch: [41][8180/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8328 (1.8067) Prec@1 53.125 (58.938) Prec@5 82.812 (80.781) Epoch: [41][8190/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7999 (1.8067) Prec@1 60.156 (58.938) Prec@5 82.031 (80.782) Epoch: [41][8200/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9244 (1.8066) Prec@1 53.125 (58.939) Prec@5 75.781 (80.782) Epoch: [41][8210/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7185 (1.8066) Prec@1 59.375 (58.938) Prec@5 81.250 (80.781) Epoch: [41][8220/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7091 (1.8065) Prec@1 58.594 (58.937) Prec@5 82.031 (80.783) Epoch: [41][8230/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8004 (1.8066) Prec@1 60.156 (58.935) Prec@5 81.250 (80.781) Epoch: [41][8240/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1837 (1.8068) Prec@1 54.688 (58.934) Prec@5 71.875 (80.777) Epoch: [41][8250/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7606 (1.8068) Prec@1 57.812 (58.935) Prec@5 86.719 (80.777) Epoch: [41][8260/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6505 (1.8067) Prec@1 64.844 (58.936) Prec@5 80.469 (80.778) Epoch: [41][8270/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.0055 (1.8067) Prec@1 55.469 (58.937) Prec@5 77.344 (80.778) Epoch: [41][8280/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6062 (1.8068) Prec@1 60.156 (58.937) Prec@5 81.250 (80.778) Epoch: [41][8290/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5664 (1.8067) Prec@1 60.938 (58.939) Prec@5 86.719 (80.779) Epoch: [41][8300/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8478 (1.8068) Prec@1 59.375 (58.934) Prec@5 79.688 (80.776) Epoch: [41][8310/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.8566 (1.8068) Prec@1 57.031 (58.935) Prec@5 79.688 (80.777) Epoch: [41][8320/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8390 (1.8069) Prec@1 60.156 (58.934) Prec@5 75.781 (80.774) Epoch: [41][8330/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0137 (1.8070) Prec@1 57.031 (58.929) Prec@5 78.906 (80.771) Epoch: [41][8340/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8653 (1.8071) Prec@1 53.906 (58.928) Prec@5 79.688 (80.770) Epoch: [41][8350/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.1655 (1.8071) Prec@1 51.562 (58.926) Prec@5 71.875 (80.768) Epoch: [41][8360/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.1326 (1.8072) Prec@1 52.344 (58.925) Prec@5 75.000 (80.768) Epoch: [41][8370/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8526 (1.8073) Prec@1 55.469 (58.921) Prec@5 76.562 (80.766) Epoch: [41][8380/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7185 (1.8073) Prec@1 57.812 (58.920) Prec@5 82.812 (80.766) Epoch: [41][8390/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7498 (1.8074) Prec@1 57.812 (58.918) Prec@5 80.469 (80.765) Epoch: [41][8400/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7354 (1.8073) Prec@1 55.469 (58.918) Prec@5 80.469 (80.765) Epoch: [41][8410/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0347 (1.8073) Prec@1 51.562 (58.918) Prec@5 77.344 (80.767) Epoch: [41][8420/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9040 (1.8073) Prec@1 56.250 (58.916) Prec@5 79.688 (80.769) Epoch: [41][8430/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0215 (1.8074) Prec@1 60.938 (58.915) Prec@5 80.469 (80.767) Epoch: [41][8440/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.5638 (1.8074) Prec@1 63.281 (58.915) Prec@5 82.812 (80.768) Epoch: [41][8450/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8730 (1.8074) Prec@1 54.688 (58.914) Prec@5 80.469 (80.767) Epoch: [41][8460/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8387 (1.8074) Prec@1 54.688 (58.914) Prec@5 78.125 (80.767) Epoch: [41][8470/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8457 (1.8075) Prec@1 60.156 (58.912) Prec@5 79.688 (80.765) Epoch: [41][8480/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.0070 (1.8076) Prec@1 54.688 (58.910) Prec@5 80.469 (80.764) Epoch: [41][8490/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6660 (1.8076) Prec@1 57.031 (58.908) Prec@5 85.156 (80.764) Epoch: [41][8500/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9578 (1.8078) Prec@1 57.031 (58.906) Prec@5 79.688 (80.762) Epoch: [41][8510/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7179 (1.8078) Prec@1 60.156 (58.905) Prec@5 80.469 (80.762) Epoch: [41][8520/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9650 (1.8079) Prec@1 61.719 (58.904) Prec@5 79.688 (80.762) Epoch: [41][8530/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6867 (1.8080) Prec@1 62.500 (58.902) Prec@5 79.688 (80.760) Epoch: [41][8540/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0859 (1.8079) Prec@1 52.344 (58.903) Prec@5 77.344 (80.763) Epoch: [41][8550/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.9821 (1.8079) Prec@1 55.469 (58.902) Prec@5 77.344 (80.761) Epoch: [41][8560/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.9860 (1.8079) Prec@1 53.906 (58.901) Prec@5 77.344 (80.761) Epoch: [41][8570/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1064 (1.8078) Prec@1 55.469 (58.904) Prec@5 72.656 (80.762) Epoch: [41][8580/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 1.8662 (1.8078) Prec@1 53.125 (58.905) Prec@5 75.781 (80.762) Epoch: [41][8590/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.9027 (1.8078) Prec@1 57.031 (58.904) Prec@5 77.344 (80.762) Epoch: [41][8600/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9634 (1.8079) Prec@1 50.781 (58.903) Prec@5 80.469 (80.763) Epoch: [41][8610/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6342 (1.8079) Prec@1 63.281 (58.901) Prec@5 82.812 (80.764) Epoch: [41][8620/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8693 (1.8079) Prec@1 59.375 (58.903) Prec@5 83.594 (80.765) Epoch: [41][8630/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0197 (1.8080) Prec@1 53.125 (58.900) Prec@5 78.906 (80.764) Epoch: [41][8640/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.5771 (1.8080) Prec@1 64.844 (58.901) Prec@5 82.812 (80.763) Epoch: [41][8650/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8369 (1.8080) Prec@1 60.938 (58.899) Prec@5 78.906 (80.764) Epoch: [41][8660/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8478 (1.8080) Prec@1 58.594 (58.899) Prec@5 78.906 (80.765) /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][8670/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7958 (1.8081) Prec@1 57.812 (58.898) Prec@5 79.688 (80.764) Epoch: [41][8680/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.4691 (1.8082) Prec@1 69.531 (58.896) Prec@5 84.375 (80.763) Epoch: [41][8690/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0012 (1.8082) Prec@1 56.250 (58.894) Prec@5 76.562 (80.761) Epoch: [41][8700/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6300 (1.8084) Prec@1 58.594 (58.891) Prec@5 82.031 (80.758) Epoch: [41][8710/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7548 (1.8083) Prec@1 59.375 (58.893) Prec@5 82.812 (80.761) Epoch: [41][8720/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8776 (1.8083) Prec@1 57.031 (58.892) Prec@5 78.906 (80.761) Epoch: [41][8730/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5988 (1.8084) Prec@1 64.844 (58.889) Prec@5 83.594 (80.761) Epoch: [41][8740/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7325 (1.8084) Prec@1 60.156 (58.890) Prec@5 80.469 (80.761) Epoch: [41][8750/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9101 (1.8084) Prec@1 52.344 (58.889) Prec@5 80.469 (80.760) Epoch: [41][8760/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.5102 (1.8084) Prec@1 60.156 (58.887) Prec@5 86.719 (80.760) Epoch: [41][8770/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1319 (1.8085) Prec@1 50.781 (58.886) Prec@5 76.562 (80.759) Epoch: [41][8780/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6229 (1.8085) Prec@1 64.062 (58.886) Prec@5 84.375 (80.758) Epoch: [41][8790/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9935 (1.8085) Prec@1 54.688 (58.886) Prec@5 76.562 (80.757) Epoch: [41][8800/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8203 (1.8086) Prec@1 55.469 (58.884) Prec@5 81.250 (80.756) Epoch: [41][8810/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9147 (1.8086) Prec@1 59.375 (58.882) Prec@5 76.562 (80.757) Epoch: [41][8820/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6716 (1.8087) Prec@1 64.844 (58.883) Prec@5 81.250 (80.756) Epoch: [41][8830/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.1246 (1.8087) Prec@1 54.688 (58.881) Prec@5 75.000 (80.754) Epoch: [41][8840/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5555 (1.8088) Prec@1 62.500 (58.880) Prec@5 83.594 (80.753) Epoch: [41][8850/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8644 (1.8088) Prec@1 53.906 (58.878) Prec@5 83.594 (80.752) Epoch: [41][8860/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9234 (1.8089) Prec@1 57.812 (58.877) Prec@5 81.250 (80.753) Epoch: [41][8870/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.4850 (1.8090) Prec@1 58.594 (58.875) Prec@5 85.156 (80.750) Epoch: [41][8880/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6420 (1.8089) Prec@1 63.281 (58.876) Prec@5 85.938 (80.751) Epoch: [41][8890/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9923 (1.8090) Prec@1 52.344 (58.875) Prec@5 76.562 (80.749) Epoch: [41][8900/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6225 (1.8090) Prec@1 60.938 (58.874) Prec@5 81.250 (80.748) Epoch: [41][8910/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.3159 (1.8090) Prec@1 50.781 (58.872) Prec@5 73.438 (80.748) Epoch: [41][8920/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.5189 (1.8091) Prec@1 60.156 (58.870) Prec@5 87.500 (80.747) Epoch: [41][8930/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7192 (1.8091) Prec@1 60.938 (58.871) Prec@5 82.812 (80.748) Epoch: [41][8940/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7808 (1.8091) Prec@1 60.156 (58.870) Prec@5 82.812 (80.748) Epoch: [41][8950/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.1699 (1.8091) Prec@1 54.688 (58.871) Prec@5 71.094 (80.749) Epoch: [41][8960/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7651 (1.8092) Prec@1 58.594 (58.868) Prec@5 85.156 (80.749) Epoch: [41][8970/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0078 (1.8092) Prec@1 52.344 (58.867) Prec@5 76.562 (80.749) Epoch: [41][8980/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7470 (1.8091) Prec@1 62.500 (58.866) Prec@5 82.812 (80.752) Epoch: [41][8990/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.8825 (1.8090) Prec@1 57.812 (58.868) Prec@5 82.031 (80.754) Epoch: [41][9000/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9909 (1.8091) Prec@1 53.125 (58.866) Prec@5 75.000 (80.752) Epoch: [41][9010/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.4116 (1.8091) Prec@1 64.844 (58.866) Prec@5 84.375 (80.753) Epoch: [41][9020/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9990 (1.8091) Prec@1 52.344 (58.867) Prec@5 79.688 (80.753) Epoch: [41][9030/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9597 (1.8092) Prec@1 55.469 (58.864) Prec@5 81.250 (80.751) Epoch: [41][9040/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8215 (1.8091) Prec@1 56.250 (58.865) Prec@5 80.469 (80.751) Epoch: [41][9050/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8129 (1.8091) Prec@1 61.719 (58.866) Prec@5 81.250 (80.751) Epoch: [41][9060/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9220 (1.8091) Prec@1 58.594 (58.866) Prec@5 78.125 (80.750) Epoch: [41][9070/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6428 (1.8091) Prec@1 57.812 (58.867) Prec@5 85.938 (80.750) Epoch: [41][9080/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7348 (1.8092) Prec@1 56.250 (58.866) Prec@5 80.469 (80.748) Epoch: [41][9090/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9756 (1.8092) Prec@1 55.469 (58.865) Prec@5 76.562 (80.746) Epoch: [41][9100/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9398 (1.8092) Prec@1 54.688 (58.866) Prec@5 83.594 (80.746) Epoch: [41][9110/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9430 (1.8093) Prec@1 56.250 (58.864) Prec@5 76.562 (80.746) Epoch: [41][9120/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7119 (1.8092) Prec@1 61.719 (58.865) Prec@5 82.812 (80.747) Epoch: [41][9130/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.8216 (1.8093) Prec@1 57.031 (58.865) Prec@5 79.688 (80.747) Epoch: [41][9140/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8343 (1.8093) Prec@1 57.031 (58.866) Prec@5 79.688 (80.746) Epoch: [41][9150/10010] Time 0.328 (0.331) Data 0.004 (0.001) Loss 1.9412 (1.8092) Prec@1 54.688 (58.867) Prec@5 79.688 (80.747) Epoch: [41][9160/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.1898 (1.8093) Prec@1 51.562 (58.865) Prec@5 75.781 (80.746) Epoch: [41][9170/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5645 (1.8093) Prec@1 67.188 (58.866) Prec@5 83.594 (80.745) Epoch: [41][9180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0091 (1.8092) Prec@1 57.812 (58.868) Prec@5 75.781 (80.747) Epoch: [41][9190/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6847 (1.8092) Prec@1 62.500 (58.867) Prec@5 84.375 (80.748) Epoch: [41][9200/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9752 (1.8093) Prec@1 56.250 (58.867) Prec@5 78.125 (80.747) Epoch: [41][9210/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7142 (1.8093) Prec@1 66.406 (58.867) Prec@5 80.469 (80.747) Epoch: [41][9220/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8575 (1.8093) Prec@1 54.688 (58.866) Prec@5 78.906 (80.747) Epoch: [41][9230/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8295 (1.8093) Prec@1 57.812 (58.867) Prec@5 81.250 (80.747) Epoch: [41][9240/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6484 (1.8093) Prec@1 61.719 (58.867) Prec@5 81.250 (80.747) Epoch: [41][9250/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9832 (1.8094) Prec@1 57.812 (58.867) Prec@5 79.688 (80.746) Epoch: [41][9260/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5369 (1.8095) Prec@1 66.406 (58.865) Prec@5 84.375 (80.744) Epoch: [41][9270/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.6759 (1.8094) Prec@1 61.719 (58.868) Prec@5 82.812 (80.745) Epoch: [41][9280/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0392 (1.8094) Prec@1 52.344 (58.869) Prec@5 78.125 (80.745) Epoch: [41][9290/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7650 (1.8094) Prec@1 58.594 (58.869) Prec@5 81.250 (80.745) Epoch: [41][9300/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9395 (1.8094) Prec@1 52.344 (58.868) Prec@5 75.781 (80.744) Epoch: [41][9310/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.3700 (1.8095) Prec@1 46.875 (58.867) Prec@5 74.219 (80.743) Epoch: [41][9320/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9097 (1.8096) Prec@1 62.500 (58.865) Prec@5 82.812 (80.742) Epoch: [41][9330/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9629 (1.8096) Prec@1 54.688 (58.864) Prec@5 76.562 (80.741) Epoch: [41][9340/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6498 (1.8098) Prec@1 61.719 (58.863) Prec@5 85.938 (80.739) Epoch: [41][9350/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.3838 (1.8097) Prec@1 68.750 (58.864) Prec@5 87.500 (80.741) Epoch: [41][9360/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9612 (1.8099) Prec@1 54.688 (58.861) Prec@5 78.125 (80.738) Epoch: [41][9370/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7659 (1.8100) Prec@1 59.375 (58.858) Prec@5 81.250 (80.734) Epoch: [41][9380/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.7044 (1.8099) Prec@1 60.156 (58.861) Prec@5 79.688 (80.735) Epoch: [41][9390/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.6881 (1.8098) Prec@1 63.281 (58.862) Prec@5 81.250 (80.737) Epoch: [41][9400/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8227 (1.8099) Prec@1 58.594 (58.861) Prec@5 81.250 (80.737) Epoch: [41][9410/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7809 (1.8099) Prec@1 60.156 (58.860) Prec@5 82.031 (80.736) Epoch: [41][9420/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8033 (1.8099) Prec@1 58.594 (58.860) Prec@5 79.688 (80.735) Epoch: [41][9430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6649 (1.8099) Prec@1 64.844 (58.860) Prec@5 83.594 (80.735) Epoch: [41][9440/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.4212 (1.8100) Prec@1 66.406 (58.860) Prec@5 85.938 (80.735) Epoch: [41][9450/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8054 (1.8101) Prec@1 60.156 (58.858) Prec@5 82.031 (80.734) Epoch: [41][9460/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.7202 (1.8101) Prec@1 60.156 (58.857) Prec@5 81.250 (80.733) Epoch: [41][9470/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8347 (1.8102) Prec@1 57.031 (58.856) Prec@5 79.688 (80.731) Epoch: [41][9480/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0909 (1.8102) Prec@1 57.812 (58.857) Prec@5 77.344 (80.731) Epoch: [41][9490/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8474 (1.8101) Prec@1 55.469 (58.858) Prec@5 81.250 (80.731) Epoch: [41][9500/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.1525 (1.8101) Prec@1 57.031 (58.857) Prec@5 72.656 (80.732) Epoch: [41][9510/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.3320 (1.8102) Prec@1 50.781 (58.854) Prec@5 75.000 (80.728) Epoch: [41][9520/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0915 (1.8103) Prec@1 46.875 (58.852) Prec@5 78.125 (80.727) Epoch: [41][9530/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.2747 (1.8104) Prec@1 46.875 (58.850) Prec@5 72.656 (80.726) Epoch: [41][9540/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0335 (1.8105) Prec@1 53.906 (58.849) Prec@5 75.781 (80.725) Epoch: [41][9550/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.2678 (1.8106) Prec@1 42.969 (58.847) Prec@5 71.875 (80.724) Epoch: [41][9560/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.0329 (1.8106) Prec@1 56.250 (58.848) Prec@5 76.562 (80.724) Epoch: [41][9570/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9184 (1.8107) Prec@1 56.250 (58.847) Prec@5 78.125 (80.723) Epoch: [41][9580/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9869 (1.8108) Prec@1 55.469 (58.846) Prec@5 77.344 (80.721) Epoch: [41][9590/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7428 (1.8109) Prec@1 58.594 (58.844) Prec@5 79.688 (80.718) Epoch: [41][9600/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8745 (1.8111) Prec@1 56.250 (58.841) Prec@5 77.344 (80.716) Epoch: [41][9610/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0879 (1.8109) Prec@1 53.125 (58.842) Prec@5 74.219 (80.718) Epoch: [41][9620/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6062 (1.8109) Prec@1 63.281 (58.844) Prec@5 85.156 (80.718) Epoch: [41][9630/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7724 (1.8109) Prec@1 56.250 (58.842) Prec@5 81.250 (80.718) Epoch: [41][9640/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8835 (1.8109) Prec@1 54.688 (58.842) Prec@5 80.469 (80.717) Epoch: [41][9650/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6185 (1.8109) Prec@1 64.062 (58.843) Prec@5 83.594 (80.717) Epoch: [41][9660/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7814 (1.8109) Prec@1 56.250 (58.843) Prec@5 83.594 (80.718) Epoch: [41][9670/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5979 (1.8109) Prec@1 67.188 (58.843) Prec@5 82.031 (80.718) Epoch: [41][9680/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8135 (1.8108) Prec@1 57.031 (58.845) Prec@5 83.594 (80.719) Epoch: [41][9690/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6794 (1.8108) Prec@1 65.625 (58.844) Prec@5 79.688 (80.717) Epoch: [41][9700/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7231 (1.8108) Prec@1 60.938 (58.843) Prec@5 82.031 (80.717) Epoch: [41][9710/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6870 (1.8108) Prec@1 61.719 (58.845) Prec@5 81.250 (80.718) Epoch: [41][9720/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 2.0524 (1.8109) Prec@1 53.125 (58.843) Prec@5 76.562 (80.717) Epoch: [41][9730/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8164 (1.8109) Prec@1 63.281 (58.843) Prec@5 78.906 (80.715) Epoch: [41][9740/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9998 (1.8109) Prec@1 54.688 (58.843) Prec@5 76.562 (80.717) Epoch: [41][9750/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8682 (1.8108) Prec@1 58.594 (58.843) Prec@5 79.688 (80.718) Epoch: [41][9760/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7752 (1.8108) Prec@1 57.031 (58.844) Prec@5 83.594 (80.719) Epoch: [41][9770/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5594 (1.8108) Prec@1 61.719 (58.844) Prec@5 81.250 (80.717) Epoch: [41][9780/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7466 (1.8109) Prec@1 55.469 (58.842) Prec@5 84.375 (80.717) Epoch: [41][9790/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7419 (1.8109) Prec@1 59.375 (58.843) Prec@5 85.156 (80.717) Epoch: [41][9800/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.6496 (1.8109) Prec@1 62.500 (58.842) Prec@5 83.594 (80.718) Epoch: [41][9810/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7214 (1.8109) Prec@1 57.812 (58.843) Prec@5 83.594 (80.718) Epoch: [41][9820/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7057 (1.8109) Prec@1 61.719 (58.844) Prec@5 82.812 (80.719) Epoch: [41][9830/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5514 (1.8108) Prec@1 67.969 (58.846) Prec@5 85.156 (80.720) Epoch: [41][9840/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6109 (1.8108) Prec@1 58.594 (58.846) Prec@5 85.156 (80.720) Epoch: [41][9850/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0557 (1.8108) Prec@1 52.344 (58.846) Prec@5 76.562 (80.720) Epoch: [41][9860/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8434 (1.8109) Prec@1 59.375 (58.845) Prec@5 82.031 (80.718) Epoch: [41][9870/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6288 (1.8108) Prec@1 60.156 (58.847) Prec@5 83.594 (80.721) Epoch: [41][9880/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6585 (1.8108) Prec@1 61.719 (58.848) Prec@5 81.250 (80.721) Epoch: [41][9890/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9338 (1.8108) Prec@1 55.469 (58.849) Prec@5 79.688 (80.721) Epoch: [41][9900/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8801 (1.8108) Prec@1 57.812 (58.850) Prec@5 78.906 (80.720) Epoch: [41][9910/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8156 (1.8107) Prec@1 60.938 (58.852) Prec@5 79.688 (80.720) Epoch: [41][9920/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7851 (1.8106) Prec@1 60.938 (58.855) Prec@5 80.469 (80.722) Epoch: [41][9930/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0892 (1.8105) Prec@1 50.000 (58.855) Prec@5 73.438 (80.723) Epoch: [41][9940/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9852 (1.8106) Prec@1 53.125 (58.854) Prec@5 83.594 (80.723) Epoch: [41][9950/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.1308 (1.8106) Prec@1 53.906 (58.852) Prec@5 78.125 (80.723) Epoch: [41][9960/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5879 (1.8105) Prec@1 62.500 (58.852) Prec@5 84.375 (80.723) Epoch: [41][9970/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7321 (1.8106) Prec@1 64.062 (58.851) Prec@5 83.594 (80.723) Epoch: [41][9980/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8975 (1.8107) Prec@1 57.031 (58.851) Prec@5 76.562 (80.722) Epoch: [41][9990/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6789 (1.8107) Prec@1 62.500 (58.852) Prec@5 83.594 (80.723) Epoch: [41][10000/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7587 (1.8107) Prec@1 61.719 (58.851) Prec@5 82.812 (80.723) Test: [0/391] Time 1.415 (1.415) Loss 0.7925 (0.7925) Prec@1 83.594 (83.594) Prec@5 91.406 (91.406) Test: [10/391] Time 0.108 (0.237) Loss 1.5515 (0.8655) Prec@1 67.969 (79.545) Prec@5 85.938 (92.330) Test: [20/391] Time 0.109 (0.176) Loss 1.2257 (1.1279) Prec@1 72.656 (71.912) Prec@5 87.500 (90.067) Test: [30/391] Time 0.111 (0.155) Loss 2.0416 (1.2894) Prec@1 57.812 (68.120) Prec@5 82.812 (88.684) Test: [40/391] Time 0.114 (0.144) Loss 1.5404 (1.1738) Prec@1 64.844 (70.884) Prec@5 85.938 (89.634) Test: [50/391] Time 0.102 (0.136) Loss 0.8687 (1.2170) Prec@1 74.219 (70.312) Prec@5 93.750 (89.277) Test: [60/391] Time 0.114 (0.132) Loss 1.3519 (1.1530) Prec@1 60.938 (71.683) Prec@5 89.062 (90.010) Test: [70/391] Time 0.108 (0.129) Loss 1.2917 (1.1863) Prec@1 64.062 (70.357) Prec@5 91.406 (89.976) Test: [80/391] Time 0.110 (0.126) Loss 1.6037 (1.2092) Prec@1 59.375 (69.377) Prec@5 80.469 (89.824) Test: [90/391] Time 0.104 (0.125) Loss 1.5349 (1.2183) Prec@1 52.344 (69.291) Prec@5 89.062 (89.861) Test: [100/391] Time 0.102 (0.123) Loss 1.1445 (1.2073) Prec@1 67.969 (68.974) Prec@5 92.188 (90.169) Test: [110/391] Time 0.098 (0.121) Loss 1.6974 (1.2111) Prec@1 49.219 (68.447) Prec@5 89.062 (90.336) Test: [120/391] Time 0.100 (0.120) Loss 1.0232 (1.2066) Prec@1 74.219 (68.737) Prec@5 92.188 (90.438) Test: [130/391] Time 0.104 (0.119) Loss 0.6315 (1.1992) Prec@1 85.156 (69.060) Prec@5 95.312 (90.512) Test: [140/391] Time 0.159 (0.119) Loss 1.3487 (1.2023) Prec@1 60.938 (68.883) Prec@5 89.844 (90.492) Test: [150/391] Time 0.110 (0.118) Loss 1.1867 (1.2122) Prec@1 57.031 (68.657) Prec@5 90.625 (90.258) Test: [160/391] Time 0.102 (0.118) Loss 1.1685 (1.2184) Prec@1 67.969 (68.614) Prec@5 91.406 (90.159) Test: [170/391] Time 0.106 (0.117) Loss 1.9046 (1.2543) Prec@1 53.125 (68.001) Prec@5 86.719 (89.711) Test: [180/391] Time 0.106 (0.117) Loss 2.7340 (1.2912) Prec@1 36.719 (67.248) Prec@5 74.219 (89.183) Test: [190/391] Time 0.110 (0.116) Loss 2.4650 (1.3267) Prec@1 52.344 (66.660) Prec@5 77.344 (88.641) Test: [200/391] Time 0.111 (0.116) Loss 1.6989 (1.3543) Prec@1 60.938 (66.157) Prec@5 82.812 (88.231) Test: [210/391] Time 0.101 (0.115) Loss 1.8617 (1.3798) Prec@1 58.594 (65.662) Prec@5 80.469 (87.911) Test: [220/391] Time 0.103 (0.115) Loss 0.9105 (1.3943) Prec@1 75.781 (65.494) Prec@5 90.625 (87.659) Test: [230/391] Time 0.105 (0.115) Loss 2.2232 (1.4114) Prec@1 50.781 (65.277) Prec@5 78.125 (87.402) Test: [240/391] Time 0.100 (0.114) Loss 1.9526 (1.4192) Prec@1 62.500 (65.327) Prec@5 76.562 (87.221) Test: [250/391] Time 0.103 (0.114) Loss 1.4142 (1.4455) Prec@1 68.750 (64.806) Prec@5 84.375 (86.853) Test: [260/391] Time 0.110 (0.114) Loss 2.0199 (1.4631) Prec@1 48.438 (64.431) Prec@5 79.688 (86.656) Test: [270/391] Time 0.105 (0.113) Loss 2.2873 (1.4738) Prec@1 42.188 (64.175) Prec@5 79.688 (86.471) Test: [280/391] Time 0.105 (0.113) Loss 1.6720 (1.4849) Prec@1 57.812 (63.957) Prec@5 87.500 (86.360) Test: [290/391] Time 0.105 (0.113) Loss 2.0037 (1.5005) Prec@1 43.750 (63.684) Prec@5 82.031 (86.069) Test: [300/391] Time 0.100 (0.113) Loss 1.4035 (1.5126) Prec@1 75.781 (63.502) Prec@5 85.938 (85.865) Test: [310/391] Time 0.110 (0.113) Loss 1.7949 (1.5230) Prec@1 61.719 (63.331) Prec@5 78.125 (85.696) Test: [320/391] Time 0.109 (0.113) Loss 0.9748 (1.5315) Prec@1 80.469 (63.191) Prec@5 92.188 (85.604) Test: [330/391] Time 0.109 (0.113) Loss 2.2582 (1.5521) Prec@1 53.125 (62.729) Prec@5 72.656 (85.307) Test: [340/391] Time 0.108 (0.113) Loss 1.8144 (1.5582) Prec@1 51.562 (62.548) Prec@5 84.375 (85.241) Test: [350/391] Time 0.110 (0.113) Loss 1.7802 (1.5640) Prec@1 59.375 (62.418) Prec@5 84.375 (85.161) Test: [360/391] Time 0.105 (0.112) Loss 1.6293 (1.5743) Prec@1 54.688 (62.234) Prec@5 88.281 (85.009) Test: [370/391] Time 0.097 (0.112) Loss 1.1330 (1.5699) Prec@1 64.062 (62.245) Prec@5 95.312 (85.057) Test: [380/391] Time 0.100 (0.112) Loss 1.1076 (1.5681) Prec@1 71.875 (62.289) Prec@5 92.188 (85.087) Test: [390/391] Time 0.070 (0.112) Loss 2.1236 (1.5579) Prec@1 50.000 (62.514) Prec@5 73.750 (85.212) * Prec@1 62.514 Prec@5 85.212 Epoch: [42][0/10010] Time 3.383 (3.383) Data 3.217 (3.217) Loss 1.9780 (1.9780) Prec@1 59.375 (59.375) Prec@5 79.688 (79.688) Epoch: [42][10/10010] Time 0.319 (0.601) Data 0.000 (0.293) Loss 1.8832 (1.7978) Prec@1 53.125 (58.168) Prec@5 78.906 (80.540) Epoch: [42][20/10010] Time 0.318 (0.468) Data 0.000 (0.154) Loss 1.8053 (1.7570) Prec@1 60.156 (59.970) Prec@5 80.469 (81.436) Epoch: [42][30/10010] Time 0.324 (0.421) Data 0.000 (0.104) Loss 1.6072 (1.7391) Prec@1 60.156 (60.156) Prec@5 82.031 (81.426) Epoch: [42][40/10010] Time 0.319 (0.397) Data 0.000 (0.079) Loss 1.9824 (1.7462) Prec@1 53.906 (59.928) Prec@5 78.125 (81.498) Epoch: [42][50/10010] Time 0.327 (0.382) Data 0.000 (0.064) Loss 1.5267 (1.7580) Prec@1 63.281 (59.666) Prec@5 82.812 (81.342) Epoch: [42][60/10010] Time 0.336 (0.373) Data 0.001 (0.053) Loss 1.5405 (1.7554) Prec@1 60.156 (59.606) Prec@5 82.812 (81.468) Epoch: [42][70/10010] Time 0.318 (0.366) Data 0.001 (0.046) Loss 1.7839 (1.7525) Prec@1 60.156 (59.430) Prec@5 79.688 (81.459) Epoch: [42][80/10010] Time 0.324 (0.361) Data 0.001 (0.040) Loss 1.6878 (1.7611) Prec@1 60.938 (59.317) Prec@5 82.031 (81.269) Epoch: [42][90/10010] Time 0.326 (0.358) Data 0.001 (0.036) Loss 1.9264 (1.7646) Prec@1 54.688 (59.126) Prec@5 78.125 (81.250) Epoch: [42][100/10010] Time 0.333 (0.355) Data 0.001 (0.032) Loss 1.7538 (1.7594) Prec@1 60.938 (59.050) Prec@5 80.469 (81.420) Epoch: [42][110/10010] Time 0.339 (0.353) Data 0.000 (0.030) Loss 2.0229 (1.7580) Prec@1 53.125 (59.157) Prec@5 78.125 (81.496) Epoch: [42][120/10010] Time 0.317 (0.351) Data 0.000 (0.027) Loss 1.8541 (1.7691) Prec@1 57.812 (59.065) Prec@5 81.250 (81.295) Epoch: [42][130/10010] Time 0.338 (0.350) Data 0.000 (0.025) Loss 1.4731 (1.7614) Prec@1 64.844 (59.303) Prec@5 87.500 (81.459) Epoch: [42][140/10010] Time 0.341 (0.349) Data 0.000 (0.023) Loss 1.7090 (1.7595) Prec@1 63.281 (59.242) Prec@5 81.250 (81.472) Epoch: [42][150/10010] Time 0.337 (0.348) Data 0.001 (0.022) Loss 1.6660 (1.7631) Prec@1 61.719 (59.173) Prec@5 87.500 (81.462) Epoch: [42][160/10010] Time 0.341 (0.348) Data 0.000 (0.021) Loss 1.5859 (1.7609) Prec@1 64.062 (59.229) Prec@5 82.812 (81.531) Epoch: [42][170/10010] Time 0.345 (0.347) Data 0.000 (0.019) Loss 1.4579 (1.7576) Prec@1 65.625 (59.334) Prec@5 85.156 (81.606) Epoch: [42][180/10010] Time 0.322 (0.346) Data 0.001 (0.018) Loss 2.0106 (1.7563) Prec@1 58.594 (59.453) Prec@5 77.344 (81.651) Epoch: [42][190/10010] Time 0.337 (0.345) Data 0.001 (0.017) Loss 1.6636 (1.7597) Prec@1 61.719 (59.395) Prec@5 86.719 (81.622) Epoch: [42][200/10010] Time 0.334 (0.345) Data 0.000 (0.017) Loss 1.8314 (1.7624) Prec@1 56.250 (59.418) Prec@5 80.469 (81.522) Epoch: [42][210/10010] Time 0.342 (0.344) Data 0.000 (0.016) Loss 2.0070 (1.7651) Prec@1 57.812 (59.371) Prec@5 71.875 (81.376) Epoch: [42][220/10010] Time 0.341 (0.344) Data 0.000 (0.015) Loss 2.0256 (1.7648) Prec@1 52.344 (59.407) Prec@5 77.344 (81.367) Epoch: [42][230/10010] Time 0.344 (0.343) Data 0.000 (0.014) Loss 1.6599 (1.7684) Prec@1 62.500 (59.287) Prec@5 81.250 (81.250) Epoch: [42][240/10010] Time 0.344 (0.343) Data 0.000 (0.014) Loss 1.7374 (1.7708) Prec@1 56.250 (59.265) Prec@5 84.375 (81.256) Epoch: [42][250/10010] Time 0.318 (0.342) Data 0.001 (0.013) Loss 2.0739 (1.7691) Prec@1 55.469 (59.291) Prec@5 77.344 (81.300) Epoch: [42][260/10010] Time 0.334 (0.342) Data 0.000 (0.013) Loss 1.6429 (1.7702) Prec@1 63.281 (59.261) Prec@5 82.812 (81.298) Epoch: [42][270/10010] Time 0.328 (0.342) Data 0.000 (0.012) Loss 1.5699 (1.7682) Prec@1 62.500 (59.340) Prec@5 82.031 (81.322) Epoch: [42][280/10010] Time 0.324 (0.341) Data 0.001 (0.012) Loss 1.7708 (1.7695) Prec@1 58.594 (59.294) Prec@5 82.031 (81.317) Epoch: [42][290/10010] Time 0.341 (0.341) Data 0.000 (0.012) Loss 1.5015 (1.7687) Prec@1 60.156 (59.300) Prec@5 82.812 (81.296) Epoch: [42][300/10010] Time 0.339 (0.341) Data 0.000 (0.011) Loss 1.6091 (1.7700) Prec@1 62.500 (59.274) Prec@5 83.594 (81.273) Epoch: [42][310/10010] Time 0.335 (0.340) Data 0.001 (0.011) Loss 1.4803 (1.7722) Prec@1 67.969 (59.252) Prec@5 83.594 (81.242) Epoch: [42][320/10010] Time 0.320 (0.340) Data 0.000 (0.011) Loss 2.0252 (1.7732) Prec@1 53.125 (59.280) Prec@5 80.469 (81.238) Epoch: [42][330/10010] Time 0.327 (0.340) Data 0.001 (0.010) Loss 2.0160 (1.7773) Prec@1 59.375 (59.226) Prec@5 76.562 (81.177) Epoch: [42][340/10010] Time 0.337 (0.339) Data 0.001 (0.010) Loss 1.8765 (1.7757) Prec@1 58.594 (59.228) Prec@5 76.562 (81.168) Epoch: [42][350/10010] Time 0.335 (0.339) Data 0.001 (0.010) Loss 1.7154 (1.7762) Prec@1 63.281 (59.253) Prec@5 82.812 (81.170) Epoch: [42][360/10010] Time 0.317 (0.339) Data 0.000 (0.009) Loss 1.5892 (1.7747) Prec@1 60.156 (59.271) Prec@5 84.375 (81.228) Epoch: [42][370/10010] Time 0.323 (0.339) Data 0.000 (0.009) Loss 1.7030 (1.7715) Prec@1 59.375 (59.312) Prec@5 84.375 (81.284) Epoch: [42][380/10010] Time 0.336 (0.338) Data 0.001 (0.009) Loss 1.8566 (1.7717) Prec@1 57.031 (59.330) Prec@5 85.156 (81.285) Epoch: [42][390/10010] Time 0.343 (0.338) Data 0.001 (0.009) Loss 1.8176 (1.7716) Prec@1 62.500 (59.367) Prec@5 81.250 (81.280) Epoch: [42][400/10010] Time 0.339 (0.338) Data 0.001 (0.009) Loss 1.9099 (1.7713) Prec@1 58.594 (59.385) Prec@5 81.250 (81.291) Epoch: [42][410/10010] Time 0.334 (0.338) Data 0.001 (0.008) Loss 1.4804 (1.7692) Prec@1 64.844 (59.447) Prec@5 85.156 (81.317) Epoch: [42][420/10010] Time 0.339 (0.338) Data 0.001 (0.008) Loss 1.7296 (1.7681) Prec@1 63.281 (59.492) Prec@5 80.469 (81.332) Epoch: [42][430/10010] Time 0.322 (0.338) Data 0.000 (0.008) Loss 1.8018 (1.7678) Prec@1 59.375 (59.446) Prec@5 79.688 (81.350) Epoch: [42][440/10010] Time 0.338 (0.338) Data 0.000 (0.008) Loss 1.8156 (1.7686) Prec@1 60.938 (59.433) Prec@5 80.469 (81.328) Epoch: [42][450/10010] Time 0.346 (0.338) Data 0.000 (0.008) Loss 1.7404 (1.7667) Prec@1 60.938 (59.496) Prec@5 83.594 (81.371) Epoch: [42][460/10010] Time 0.343 (0.338) Data 0.001 (0.008) Loss 1.7184 (1.7652) Prec@1 60.156 (59.511) Prec@5 85.156 (81.397) Epoch: [42][470/10010] Time 0.317 (0.338) Data 0.001 (0.007) Loss 1.7389 (1.7656) Prec@1 60.156 (59.526) Prec@5 82.812 (81.386) Epoch: [42][480/10010] Time 0.332 (0.338) Data 0.000 (0.007) Loss 1.5908 (1.7653) Prec@1 62.500 (59.557) Prec@5 82.812 (81.382) Epoch: [42][490/10010] Time 0.339 (0.337) Data 0.000 (0.007) Loss 1.8421 (1.7657) Prec@1 60.938 (59.536) Prec@5 76.562 (81.360) Epoch: [42][500/10010] Time 0.330 (0.337) Data 0.000 (0.007) Loss 1.6672 (1.7669) Prec@1 64.844 (59.540) Prec@5 81.250 (81.325) Epoch: [42][510/10010] Time 0.338 (0.337) Data 0.000 (0.007) Loss 2.2075 (1.7672) Prec@1 47.656 (59.568) Prec@5 75.000 (81.325) Epoch: [42][520/10010] Time 0.346 (0.337) Data 0.000 (0.007) Loss 1.7875 (1.7689) Prec@1 62.500 (59.558) Prec@5 83.594 (81.298) Epoch: [42][530/10010] Time 0.352 (0.337) Data 0.000 (0.007) Loss 1.9492 (1.7720) Prec@1 57.812 (59.509) Prec@5 78.906 (81.265) Epoch: [42][540/10010] Time 0.322 (0.337) Data 0.001 (0.007) Loss 1.7254 (1.7722) Prec@1 60.156 (59.511) Prec@5 82.031 (81.249) Epoch: [42][550/10010] Time 0.324 (0.337) Data 0.001 (0.006) Loss 1.8720 (1.7718) Prec@1 63.281 (59.497) Prec@5 80.469 (81.259) Epoch: [42][560/10010] Time 0.337 (0.337) Data 0.001 (0.006) Loss 1.8076 (1.7722) Prec@1 59.375 (59.482) Prec@5 85.156 (81.265) Epoch: [42][570/10010] Time 0.340 (0.337) Data 0.000 (0.006) Loss 1.7853 (1.7728) Prec@1 61.719 (59.465) Prec@5 82.031 (81.258) Epoch: [42][580/10010] Time 0.336 (0.337) Data 0.001 (0.006) Loss 1.7468 (1.7730) Prec@1 60.938 (59.487) Prec@5 84.375 (81.263) Epoch: [42][590/10010] Time 0.341 (0.337) Data 0.001 (0.006) Loss 1.8905 (1.7739) Prec@1 58.594 (59.454) Prec@5 80.469 (81.247) Epoch: [42][600/10010] Time 0.329 (0.337) Data 0.001 (0.006) Loss 1.6259 (1.7736) Prec@1 58.594 (59.446) Prec@5 85.156 (81.254) Epoch: [42][610/10010] Time 0.323 (0.337) Data 0.000 (0.006) Loss 1.8869 (1.7729) Prec@1 53.906 (59.457) Prec@5 81.250 (81.274) Epoch: [42][620/10010] Time 0.321 (0.336) Data 0.001 (0.006) Loss 1.6461 (1.7730) Prec@1 59.375 (59.449) Prec@5 84.375 (81.259) Epoch: [42][630/10010] Time 0.323 (0.336) Data 0.000 (0.006) Loss 1.7170 (1.7731) Prec@1 60.156 (59.444) Prec@5 81.250 (81.248) Epoch: [42][640/10010] Time 0.331 (0.336) Data 0.000 (0.006) Loss 1.9497 (1.7741) Prec@1 54.688 (59.443) Prec@5 77.344 (81.234) Epoch: [42][650/10010] Time 0.324 (0.336) Data 0.000 (0.006) Loss 1.8852 (1.7734) Prec@1 58.594 (59.459) Prec@5 78.906 (81.248) Epoch: [42][660/10010] Time 0.344 (0.336) Data 0.000 (0.005) Loss 1.8332 (1.7736) Prec@1 62.500 (59.481) Prec@5 79.688 (81.239) Epoch: [42][670/10010] Time 0.331 (0.336) Data 0.001 (0.005) Loss 1.6635 (1.7738) Prec@1 62.500 (59.466) Prec@5 79.688 (81.236) Epoch: [42][680/10010] Time 0.320 (0.336) Data 0.001 (0.005) Loss 2.0532 (1.7759) Prec@1 55.469 (59.424) Prec@5 75.000 (81.206) Epoch: [42][690/10010] Time 0.332 (0.336) Data 0.001 (0.005) Loss 2.0423 (1.7765) Prec@1 54.688 (59.419) Prec@5 78.125 (81.199) Epoch: [42][700/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 1.8510 (1.7756) Prec@1 63.281 (59.436) Prec@5 78.906 (81.219) Epoch: [42][710/10010] Time 0.332 (0.335) Data 0.000 (0.005) Loss 2.1416 (1.7769) Prec@1 59.375 (59.408) Prec@5 75.781 (81.201) Epoch: [42][720/10010] Time 0.341 (0.335) Data 0.001 (0.005) Loss 1.7433 (1.7758) Prec@1 55.469 (59.432) Prec@5 80.469 (81.216) Epoch: [42][730/10010] Time 0.347 (0.335) Data 0.001 (0.005) Loss 1.8530 (1.7760) Prec@1 56.250 (59.413) Prec@5 80.469 (81.226) Epoch: [42][740/10010] Time 0.323 (0.335) Data 0.000 (0.005) Loss 1.7473 (1.7763) Prec@1 57.031 (59.417) Prec@5 81.250 (81.225) Epoch: [42][750/10010] Time 0.317 (0.335) Data 0.001 (0.005) Loss 1.8715 (1.7749) Prec@1 55.469 (59.460) Prec@5 80.469 (81.243) Epoch: [42][760/10010] Time 0.345 (0.335) Data 0.001 (0.005) Loss 2.0917 (1.7767) Prec@1 55.469 (59.427) Prec@5 75.781 (81.215) Epoch: [42][770/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 1.6755 (1.7782) Prec@1 58.594 (59.393) Prec@5 82.812 (81.190) Epoch: [42][780/10010] Time 0.347 (0.335) Data 0.000 (0.005) Loss 1.8179 (1.7784) Prec@1 57.031 (59.394) Prec@5 78.906 (81.179) Epoch: [42][790/10010] Time 0.331 (0.335) Data 0.000 (0.005) Loss 1.9989 (1.7778) Prec@1 59.375 (59.414) Prec@5 77.344 (81.186) Epoch: [42][800/10010] Time 0.336 (0.335) Data 0.000 (0.005) Loss 1.7205 (1.7793) Prec@1 60.938 (59.395) Prec@5 81.250 (81.163) Epoch: [42][810/10010] Time 0.339 (0.335) Data 0.000 (0.005) Loss 1.9214 (1.7798) Prec@1 59.375 (59.397) Prec@5 78.906 (81.148) Epoch: [42][820/10010] Time 0.340 (0.335) Data 0.001 (0.004) Loss 2.0249 (1.7799) Prec@1 58.594 (59.395) Prec@5 76.562 (81.133) Epoch: [42][830/10010] Time 0.328 (0.335) Data 0.000 (0.004) Loss 1.8373 (1.7788) Prec@1 63.281 (59.400) Prec@5 80.469 (81.160) Epoch: [42][840/10010] Time 0.344 (0.335) Data 0.000 (0.004) Loss 1.8741 (1.7780) Prec@1 57.031 (59.418) Prec@5 77.344 (81.174) Epoch: [42][850/10010] Time 0.339 (0.335) Data 0.000 (0.004) Loss 1.8561 (1.7780) Prec@1 60.938 (59.413) Prec@5 82.031 (81.185) Epoch: [42][860/10010] Time 0.338 (0.335) Data 0.000 (0.004) Loss 1.6240 (1.7775) Prec@1 59.375 (59.411) Prec@5 85.938 (81.188) Epoch: [42][870/10010] Time 0.327 (0.335) Data 0.000 (0.004) Loss 1.7560 (1.7767) Prec@1 60.156 (59.422) Prec@5 83.594 (81.211) Epoch: [42][880/10010] Time 0.340 (0.335) Data 0.001 (0.004) Loss 1.5873 (1.7769) Prec@1 61.719 (59.404) Prec@5 84.375 (81.208) Epoch: [42][890/10010] Time 0.325 (0.335) Data 0.000 (0.004) Loss 1.8193 (1.7767) Prec@1 67.188 (59.418) Prec@5 77.344 (81.205) Epoch: [42][900/10010] Time 0.314 (0.335) Data 0.000 (0.004) Loss 1.8504 (1.7767) Prec@1 60.156 (59.419) Prec@5 76.562 (81.208) Epoch: [42][910/10010] Time 0.338 (0.335) Data 0.000 (0.004) Loss 1.6041 (1.7779) Prec@1 64.844 (59.405) Prec@5 87.500 (81.190) Epoch: [42][920/10010] Time 0.321 (0.335) Data 0.000 (0.004) Loss 1.4924 (1.7774) Prec@1 65.625 (59.407) Prec@5 87.500 (81.199) Epoch: [42][930/10010] Time 0.337 (0.335) Data 0.001 (0.004) Loss 1.6360 (1.7764) Prec@1 57.031 (59.419) Prec@5 84.375 (81.211) Epoch: [42][940/10010] Time 0.321 (0.335) Data 0.000 (0.004) Loss 1.6444 (1.7757) Prec@1 61.719 (59.431) Prec@5 82.812 (81.216) Epoch: [42][950/10010] Time 0.338 (0.335) Data 0.000 (0.004) Loss 1.9792 (1.7758) Prec@1 58.594 (59.436) Prec@5 75.000 (81.220) Epoch: [42][960/10010] Time 0.318 (0.335) Data 0.000 (0.004) Loss 1.8549 (1.7764) Prec@1 61.719 (59.436) Prec@5 80.469 (81.209) Epoch: [42][970/10010] Time 0.331 (0.335) Data 0.000 (0.004) Loss 1.8217 (1.7768) Prec@1 58.594 (59.444) Prec@5 81.250 (81.194) Epoch: [42][980/10010] Time 0.327 (0.335) Data 0.001 (0.004) Loss 1.9521 (1.7771) Prec@1 53.906 (59.437) Prec@5 80.469 (81.185) Epoch: [42][990/10010] Time 0.340 (0.334) Data 0.001 (0.004) Loss 1.8054 (1.7775) Prec@1 60.156 (59.430) Prec@5 84.375 (81.177) Epoch: [42][1000/10010] Time 0.322 (0.334) Data 0.001 (0.004) Loss 1.7827 (1.7765) Prec@1 58.594 (59.440) Prec@5 75.781 (81.188) Epoch: [42][1010/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 1.8226 (1.7765) Prec@1 61.719 (59.432) Prec@5 79.688 (81.187) Epoch: [42][1020/10010] Time 0.334 (0.334) Data 0.000 (0.004) Loss 1.5774 (1.7760) Prec@1 58.594 (59.441) Prec@5 78.125 (81.191) Epoch: [42][1030/10010] Time 0.332 (0.334) Data 0.001 (0.004) Loss 1.7677 (1.7754) Prec@1 58.594 (59.449) Prec@5 81.250 (81.197) Epoch: [42][1040/10010] Time 0.334 (0.334) Data 0.000 (0.004) Loss 1.5456 (1.7750) Prec@1 60.156 (59.450) Prec@5 83.594 (81.206) Epoch: [42][1050/10010] Time 0.316 (0.334) Data 0.001 (0.004) Loss 2.0646 (1.7758) Prec@1 59.375 (59.443) Prec@5 78.125 (81.194) Epoch: [42][1060/10010] Time 0.339 (0.334) Data 0.001 (0.004) Loss 1.6419 (1.7765) Prec@1 54.688 (59.431) Prec@5 83.594 (81.173) Epoch: [42][1070/10010] Time 0.333 (0.334) Data 0.000 (0.004) Loss 1.8493 (1.7757) Prec@1 58.594 (59.452) Prec@5 82.031 (81.185) Epoch: [42][1080/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 1.7969 (1.7761) Prec@1 55.469 (59.440) Prec@5 80.469 (81.184) Epoch: [42][1090/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 1.9669 (1.7770) Prec@1 60.156 (59.414) Prec@5 77.344 (81.169) Epoch: [42][1100/10010] Time 0.331 (0.334) Data 0.000 (0.003) Loss 1.7124 (1.7769) Prec@1 60.156 (59.415) Prec@5 82.031 (81.161) Epoch: [42][1110/10010] Time 0.351 (0.334) Data 0.000 (0.003) Loss 1.7430 (1.7765) Prec@1 64.062 (59.423) Prec@5 81.250 (81.159) Epoch: [42][1120/10010] Time 0.325 (0.334) Data 0.000 (0.003) Loss 1.7723 (1.7770) Prec@1 52.344 (59.400) Prec@5 85.156 (81.144) Epoch: [42][1130/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 2.0344 (1.7782) Prec@1 57.031 (59.378) Prec@5 76.562 (81.127) Epoch: [42][1140/10010] Time 0.339 (0.334) Data 0.000 (0.003) Loss 2.0323 (1.7793) Prec@1 56.250 (59.359) Prec@5 78.906 (81.108) Epoch: [42][1150/10010] Time 0.327 (0.334) Data 0.000 (0.003) Loss 1.7703 (1.7793) Prec@1 59.375 (59.361) Prec@5 85.156 (81.111) Epoch: [42][1160/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 1.6073 (1.7792) Prec@1 64.062 (59.360) Prec@5 82.031 (81.113) Epoch: [42][1170/10010] Time 0.319 (0.334) Data 0.000 (0.003) Loss 1.6306 (1.7794) Prec@1 58.594 (59.350) Prec@5 84.375 (81.111) Epoch: [42][1180/10010] Time 0.330 (0.334) Data 0.001 (0.003) Loss 1.6577 (1.7799) Prec@1 65.625 (59.335) Prec@5 81.250 (81.111) Epoch: [42][1190/10010] Time 0.339 (0.334) Data 0.000 (0.003) Loss 1.7348 (1.7809) Prec@1 57.812 (59.304) Prec@5 82.812 (81.097) Epoch: [42][1200/10010] Time 0.335 (0.334) Data 0.001 (0.003) Loss 2.1293 (1.7804) Prec@1 55.469 (59.316) Prec@5 75.781 (81.111) Epoch: [42][1210/10010] Time 0.338 (0.334) Data 0.001 (0.003) Loss 1.8222 (1.7807) Prec@1 61.719 (59.319) Prec@5 82.031 (81.098) Epoch: [42][1220/10010] Time 0.332 (0.334) Data 0.000 (0.003) Loss 1.6942 (1.7813) Prec@1 64.062 (59.321) Prec@5 79.688 (81.089) Epoch: [42][1230/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 1.5663 (1.7805) Prec@1 64.062 (59.339) Prec@5 83.594 (81.104) Epoch: [42][1240/10010] Time 0.321 (0.334) Data 0.001 (0.003) Loss 1.8012 (1.7801) Prec@1 59.375 (59.359) Prec@5 78.906 (81.112) Epoch: [42][1250/10010] Time 0.342 (0.334) Data 0.000 (0.003) Loss 1.8108 (1.7806) Prec@1 55.469 (59.361) Prec@5 82.031 (81.104) Epoch: [42][1260/10010] Time 0.340 (0.334) Data 0.000 (0.003) Loss 2.0901 (1.7805) Prec@1 56.250 (59.374) Prec@5 81.250 (81.107) Epoch: [42][1270/10010] Time 0.345 (0.334) Data 0.000 (0.003) Loss 1.5780 (1.7805) Prec@1 64.844 (59.374) Prec@5 84.375 (81.109) Epoch: [42][1280/10010] Time 0.334 (0.334) Data 0.001 (0.003) Loss 1.8172 (1.7805) Prec@1 58.594 (59.368) Prec@5 82.031 (81.112) Epoch: [42][1290/10010] Time 0.320 (0.334) Data 0.000 (0.003) Loss 1.6120 (1.7798) Prec@1 58.594 (59.372) Prec@5 78.125 (81.117) Epoch: [42][1300/10010] Time 0.331 (0.334) Data 0.001 (0.003) Loss 1.6463 (1.7794) Prec@1 60.938 (59.382) Prec@5 82.031 (81.124) Epoch: [42][1310/10010] Time 0.337 (0.334) Data 0.001 (0.003) Loss 1.5842 (1.7793) Prec@1 62.500 (59.384) Prec@5 82.812 (81.126) Epoch: [42][1320/10010] Time 0.329 (0.334) Data 0.001 (0.003) Loss 1.9653 (1.7791) Prec@1 57.812 (59.395) Prec@5 79.688 (81.122) Epoch: [42][1330/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 1.8409 (1.7785) Prec@1 54.688 (59.396) Prec@5 82.812 (81.139) Epoch: [42][1340/10010] Time 0.337 (0.334) Data 0.000 (0.003) Loss 1.5238 (1.7779) Prec@1 62.500 (59.406) Prec@5 85.938 (81.146) Epoch: [42][1350/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 1.8404 (1.7779) Prec@1 57.812 (59.396) Prec@5 78.906 (81.149) Epoch: [42][1360/10010] Time 0.329 (0.334) Data 0.000 (0.003) Loss 1.8099 (1.7787) Prec@1 58.594 (59.375) Prec@5 79.688 (81.131) Epoch: [42][1370/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 2.0194 (1.7784) Prec@1 54.688 (59.376) Prec@5 78.906 (81.140) Epoch: [42][1380/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 1.8528 (1.7788) Prec@1 55.469 (59.358) Prec@5 79.688 (81.133) Epoch: [42][1390/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 1.8611 (1.7787) Prec@1 57.031 (59.362) Prec@5 78.125 (81.130) Epoch: [42][1400/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.6211 (1.7781) Prec@1 60.156 (59.380) Prec@5 82.031 (81.136) Epoch: [42][1410/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.8861 (1.7784) Prec@1 55.469 (59.372) Prec@5 80.469 (81.126) Epoch: [42][1420/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.5906 (1.7784) Prec@1 61.719 (59.379) Prec@5 83.594 (81.130) Epoch: [42][1430/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 1.9143 (1.7791) Prec@1 53.906 (59.366) Prec@5 80.469 (81.115) Epoch: [42][1440/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 1.9394 (1.7790) Prec@1 55.469 (59.366) Prec@5 80.469 (81.120) Epoch: [42][1450/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 1.9107 (1.7788) Prec@1 55.469 (59.373) Prec@5 80.469 (81.130) Epoch: [42][1460/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 1.8004 (1.7783) Prec@1 57.031 (59.387) Prec@5 81.250 (81.135) Epoch: [42][1470/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 1.5857 (1.7781) Prec@1 61.719 (59.390) Prec@5 81.250 (81.133) Epoch: [42][1480/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 1.6810 (1.7781) Prec@1 57.031 (59.386) Prec@5 84.375 (81.141) Epoch: [42][1490/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 1.7305 (1.7774) Prec@1 57.812 (59.402) Prec@5 78.906 (81.152) Epoch: [42][1500/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 1.6317 (1.7773) Prec@1 64.844 (59.410) Prec@5 82.031 (81.156) Epoch: [42][1510/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.9825 (1.7773) Prec@1 57.031 (59.404) Prec@5 77.344 (81.158) Epoch: [42][1520/10010] Time 0.341 (0.333) Data 0.001 (0.003) Loss 1.9524 (1.7774) Prec@1 55.469 (59.409) Prec@5 80.469 (81.161) Epoch: [42][1530/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.2811 (1.7779) Prec@1 49.219 (59.394) Prec@5 76.562 (81.155) Epoch: [42][1540/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 1.8520 (1.7783) Prec@1 57.812 (59.384) Prec@5 78.125 (81.149) Epoch: [42][1550/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 1.8242 (1.7784) Prec@1 57.812 (59.380) Prec@5 79.688 (81.142) Epoch: [42][1560/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 1.9907 (1.7787) Prec@1 58.594 (59.383) Prec@5 81.250 (81.145) Epoch: [42][1570/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.5445 (1.7787) Prec@1 60.156 (59.371) Prec@5 85.156 (81.148) Epoch: [42][1580/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 1.7785 (1.7787) Prec@1 53.125 (59.372) Prec@5 82.812 (81.148) Epoch: [42][1590/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 1.7381 (1.7791) Prec@1 62.500 (59.365) Prec@5 81.250 (81.136) Epoch: [42][1600/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 1.7939 (1.7787) Prec@1 57.031 (59.372) Prec@5 82.812 (81.149) Epoch: [42][1610/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 2.0876 (1.7791) Prec@1 55.469 (59.364) Prec@5 74.219 (81.140) Epoch: [42][1620/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 2.0338 (1.7791) Prec@1 50.000 (59.355) Prec@5 79.688 (81.147) Epoch: [42][1630/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 1.6862 (1.7797) Prec@1 60.156 (59.338) Prec@5 80.469 (81.131) Epoch: [42][1640/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 1.9692 (1.7802) Prec@1 60.156 (59.329) Prec@5 79.688 (81.120) Epoch: [42][1650/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.5120 (1.7799) Prec@1 64.844 (59.343) Prec@5 81.250 (81.119) Epoch: [42][1660/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 1.5964 (1.7792) Prec@1 67.969 (59.364) Prec@5 84.375 (81.130) Epoch: [42][1670/10010] Time 0.347 (0.333) Data 0.000 (0.003) Loss 1.5249 (1.7791) Prec@1 67.188 (59.369) Prec@5 82.031 (81.131) Epoch: [42][1680/10010] Time 0.318 (0.333) Data 0.000 (0.002) Loss 1.8796 (1.7792) Prec@1 57.031 (59.361) Prec@5 82.812 (81.134) Epoch: [42][1690/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 1.7328 (1.7790) Prec@1 57.031 (59.364) Prec@5 78.906 (81.137) Epoch: [42][1700/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 1.6791 (1.7795) Prec@1 60.938 (59.353) Prec@5 82.812 (81.131) Epoch: [42][1710/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 1.7437 (1.7796) Prec@1 59.375 (59.345) Prec@5 79.688 (81.132) Epoch: [42][1720/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 1.7229 (1.7797) Prec@1 56.250 (59.342) Prec@5 82.812 (81.132) Epoch: [42][1730/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.7201 (1.7801) Prec@1 56.250 (59.329) Prec@5 83.594 (81.124) Epoch: [42][1740/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 1.7585 (1.7800) Prec@1 60.156 (59.327) Prec@5 82.031 (81.123) Epoch: [42][1750/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 2.0055 (1.7802) Prec@1 56.250 (59.317) Prec@5 79.688 (81.119) Epoch: [42][1760/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.7154 (1.7802) Prec@1 62.500 (59.320) Prec@5 80.469 (81.119) Epoch: [42][1770/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 2.1331 (1.7803) Prec@1 52.344 (59.319) Prec@5 75.000 (81.116) Epoch: [42][1780/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 1.7462 (1.7805) Prec@1 60.156 (59.318) Prec@5 80.469 (81.111) Epoch: [42][1790/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.6642 (1.7802) Prec@1 62.500 (59.332) Prec@5 85.938 (81.118) Epoch: [42][1800/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 1.6084 (1.7799) Prec@1 64.062 (59.333) Prec@5 84.375 (81.121) Epoch: [42][1810/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 1.4859 (1.7798) Prec@1 66.406 (59.327) Prec@5 85.938 (81.121) Epoch: [42][1820/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.8103 (1.7799) Prec@1 61.719 (59.329) Prec@5 81.250 (81.122) Epoch: [42][1830/10010] Time 0.347 (0.333) Data 0.001 (0.002) Loss 2.0500 (1.7805) Prec@1 55.469 (59.317) Prec@5 76.562 (81.117) Epoch: [42][1840/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 1.7076 (1.7810) Prec@1 62.500 (59.308) Prec@5 82.031 (81.104) Epoch: [42][1850/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 2.0143 (1.7813) Prec@1 57.031 (59.302) Prec@5 78.906 (81.098) Epoch: [42][1860/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 1.7559 (1.7816) Prec@1 59.375 (59.296) Prec@5 82.812 (81.091) Epoch: [42][1870/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 1.8918 (1.7820) Prec@1 53.125 (59.294) Prec@5 78.125 (81.083) Epoch: [42][1880/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 1.9337 (1.7823) Prec@1 53.125 (59.292) Prec@5 75.000 (81.080) Epoch: [42][1890/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.9932 (1.7822) Prec@1 55.469 (59.301) Prec@5 82.031 (81.080) Epoch: [42][1900/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 1.5442 (1.7825) Prec@1 61.719 (59.295) Prec@5 88.281 (81.082) Epoch: [42][1910/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 1.6847 (1.7823) Prec@1 62.500 (59.303) Prec@5 84.375 (81.084) Epoch: [42][1920/10010] Time 0.347 (0.333) Data 0.000 (0.002) Loss 1.6303 (1.7824) Prec@1 57.031 (59.289) Prec@5 87.500 (81.088) Epoch: [42][1930/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 1.5248 (1.7821) Prec@1 64.844 (59.294) Prec@5 85.156 (81.095) Epoch: [42][1940/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 1.9142 (1.7822) Prec@1 57.812 (59.293) Prec@5 81.250 (81.095) Epoch: [42][1950/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 1.8108 (1.7826) Prec@1 59.375 (59.285) Prec@5 82.812 (81.093) Epoch: [42][1960/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.0166 (1.7828) Prec@1 54.688 (59.293) Prec@5 76.562 (81.088) Epoch: [42][1970/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 1.6067 (1.7827) Prec@1 60.938 (59.286) Prec@5 86.719 (81.092) Epoch: [42][1980/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.9543 (1.7832) Prec@1 54.688 (59.280) Prec@5 79.688 (81.089) Epoch: [42][1990/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.7441 (1.7837) Prec@1 59.375 (59.273) Prec@5 79.688 (81.083) Epoch: [42][2000/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7111 (1.7832) Prec@1 64.844 (59.282) Prec@5 84.375 (81.091) Epoch: [42][2010/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.0804 (1.7835) Prec@1 53.906 (59.279) Prec@5 75.000 (81.087) Epoch: [42][2020/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7713 (1.7838) Prec@1 58.594 (59.280) Prec@5 80.469 (81.082) Epoch: [42][2030/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.1732 (1.7838) Prec@1 44.531 (59.264) Prec@5 76.562 (81.078) Epoch: [42][2040/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.7503 (1.7838) Prec@1 64.844 (59.265) Prec@5 82.031 (81.081) Epoch: [42][2050/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.7021 (1.7835) Prec@1 60.938 (59.274) Prec@5 83.594 (81.081) Epoch: [42][2060/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.8244 (1.7836) Prec@1 55.469 (59.274) Prec@5 78.906 (81.074) Epoch: [42][2070/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.3447 (1.7841) Prec@1 50.781 (59.260) Prec@5 71.875 (81.064) Epoch: [42][2080/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.7639 (1.7847) Prec@1 62.500 (59.250) Prec@5 80.469 (81.051) Epoch: [42][2090/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.5927 (1.7844) Prec@1 60.156 (59.258) Prec@5 85.156 (81.055) Epoch: [42][2100/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.9906 (1.7849) Prec@1 59.375 (59.252) Prec@5 79.688 (81.049) Epoch: [42][2110/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.7959 (1.7849) Prec@1 57.812 (59.248) Prec@5 81.250 (81.044) Epoch: [42][2120/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.0440 (1.7848) Prec@1 53.125 (59.248) Prec@5 78.125 (81.051) Epoch: [42][2130/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.7592 (1.7852) Prec@1 60.938 (59.241) Prec@5 79.688 (81.046) Epoch: [42][2140/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.5565 (1.7851) Prec@1 59.375 (59.238) Prec@5 85.156 (81.047) Epoch: [42][2150/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.9225 (1.7852) Prec@1 59.375 (59.235) Prec@5 79.688 (81.048) Epoch: [42][2160/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.7180 (1.7851) Prec@1 58.594 (59.235) Prec@5 78.906 (81.048) Epoch: [42][2170/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.5175 (1.7850) Prec@1 64.062 (59.232) Prec@5 83.594 (81.052) Epoch: [42][2180/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.7785 (1.7849) Prec@1 58.594 (59.230) Prec@5 82.031 (81.049) Epoch: [42][2190/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.9619 (1.7853) Prec@1 62.500 (59.227) Prec@5 79.688 (81.050) Epoch: [42][2200/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.6749 (1.7858) Prec@1 58.594 (59.215) Prec@5 82.031 (81.039) Epoch: [42][2210/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.8272 (1.7861) Prec@1 64.062 (59.206) Prec@5 81.250 (81.031) Epoch: [42][2220/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.9043 (1.7861) Prec@1 50.000 (59.203) Prec@5 81.250 (81.030) Epoch: [42][2230/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.7463 (1.7859) Prec@1 60.938 (59.203) Prec@5 81.250 (81.033) Epoch: [42][2240/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.7154 (1.7861) Prec@1 57.031 (59.193) Prec@5 84.375 (81.030) Epoch: [42][2250/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7152 (1.7860) Prec@1 63.281 (59.197) Prec@5 80.469 (81.030) Epoch: [42][2260/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.8969 (1.7861) Prec@1 54.688 (59.191) Prec@5 85.156 (81.030) Epoch: [42][2270/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.9489 (1.7862) Prec@1 58.594 (59.192) Prec@5 77.344 (81.026) Epoch: [42][2280/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.9967 (1.7867) Prec@1 52.344 (59.183) Prec@5 75.000 (81.016) Epoch: [42][2290/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.7013 (1.7866) Prec@1 60.938 (59.193) Prec@5 81.250 (81.016) Epoch: [42][2300/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.6813 (1.7866) Prec@1 60.156 (59.193) Prec@5 85.156 (81.015) Epoch: [42][2310/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.0228 (1.7869) Prec@1 57.812 (59.193) Prec@5 78.906 (81.011) Epoch: [42][2320/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.8852 (1.7874) Prec@1 53.125 (59.187) Prec@5 84.375 (81.004) Epoch: [42][2330/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 2.2430 (1.7876) Prec@1 55.469 (59.189) Prec@5 71.875 (80.997) Epoch: [42][2340/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.7317 (1.7876) Prec@1 64.844 (59.195) Prec@5 79.688 (80.993) Epoch: [42][2350/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.7416 (1.7873) Prec@1 54.688 (59.200) Prec@5 82.812 (80.998) Epoch: [42][2360/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.8863 (1.7874) Prec@1 56.250 (59.197) Prec@5 77.344 (80.992) Epoch: [42][2370/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.9679 (1.7874) Prec@1 58.594 (59.204) Prec@5 81.250 (80.993) Epoch: [42][2380/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 1.8324 (1.7872) Prec@1 57.031 (59.207) Prec@5 84.375 (80.995) Epoch: [42][2390/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.5809 (1.7881) Prec@1 62.500 (59.197) Prec@5 83.594 (80.985) Epoch: [42][2400/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.6421 (1.7882) Prec@1 68.750 (59.202) Prec@5 81.250 (80.980) Epoch: [42][2410/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8030 (1.7885) Prec@1 58.594 (59.191) Prec@5 77.344 (80.973) Epoch: [42][2420/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.7502 (1.7888) Prec@1 60.938 (59.185) Prec@5 83.594 (80.970) Epoch: [42][2430/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8213 (1.7891) Prec@1 57.812 (59.178) Prec@5 81.250 (80.970) Epoch: [42][2440/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.8778 (1.7896) Prec@1 60.156 (59.173) Prec@5 79.688 (80.964) Epoch: [42][2450/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.6563 (1.7897) Prec@1 59.375 (59.166) Prec@5 82.031 (80.962) Epoch: [42][2460/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.6341 (1.7898) Prec@1 64.844 (59.171) Prec@5 82.031 (80.963) Epoch: [42][2470/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.7716 (1.7899) Prec@1 61.719 (59.174) Prec@5 85.156 (80.967) Epoch: [42][2480/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.8977 (1.7897) Prec@1 53.125 (59.173) Prec@5 82.031 (80.970) Epoch: [42][2490/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.0437 (1.7895) Prec@1 53.906 (59.176) Prec@5 76.562 (80.970) Epoch: [42][2500/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.6490 (1.7897) Prec@1 61.719 (59.177) Prec@5 81.250 (80.969) Epoch: [42][2510/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.7983 (1.7898) Prec@1 60.156 (59.175) Prec@5 79.688 (80.972) Epoch: [42][2520/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.9316 (1.7899) Prec@1 57.812 (59.172) Prec@5 78.125 (80.973) Epoch: [42][2530/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.7864 (1.7898) Prec@1 57.812 (59.177) Prec@5 78.906 (80.966) Epoch: [42][2540/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.6478 (1.7896) Prec@1 57.031 (59.178) Prec@5 85.156 (80.974) Epoch: [42][2550/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7443 (1.7896) Prec@1 60.156 (59.176) Prec@5 80.469 (80.974) Epoch: [42][2560/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.7620 (1.7892) Prec@1 59.375 (59.180) Prec@5 78.125 (80.980) Epoch: [42][2570/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.8461 (1.7893) Prec@1 58.594 (59.179) Prec@5 77.344 (80.972) /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][2580/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.1888 (1.7898) Prec@1 50.781 (59.165) Prec@5 73.438 (80.964) Epoch: [42][2590/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.8235 (1.7899) Prec@1 57.031 (59.159) Prec@5 75.781 (80.960) Epoch: [42][2600/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.8306 (1.7898) Prec@1 58.594 (59.160) Prec@5 80.469 (80.963) Epoch: [42][2610/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 2.1457 (1.7900) Prec@1 58.594 (59.166) Prec@5 78.125 (80.958) Epoch: [42][2620/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.7562 (1.7899) Prec@1 57.812 (59.166) Prec@5 83.594 (80.962) Epoch: [42][2630/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.8733 (1.7898) Prec@1 56.250 (59.172) Prec@5 78.125 (80.966) Epoch: [42][2640/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8241 (1.7896) Prec@1 55.469 (59.177) Prec@5 80.469 (80.967) Epoch: [42][2650/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.6997 (1.7899) Prec@1 61.719 (59.170) Prec@5 80.469 (80.964) Epoch: [42][2660/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.7336 (1.7898) Prec@1 64.062 (59.178) Prec@5 82.031 (80.968) Epoch: [42][2670/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7683 (1.7898) Prec@1 59.375 (59.179) Prec@5 79.688 (80.964) Epoch: [42][2680/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7343 (1.7897) Prec@1 64.062 (59.178) Prec@5 79.688 (80.963) Epoch: [42][2690/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.7819 (1.7898) Prec@1 58.594 (59.179) Prec@5 81.250 (80.963) Epoch: [42][2700/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.6763 (1.7900) Prec@1 57.812 (59.172) Prec@5 84.375 (80.965) Epoch: [42][2710/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.7788 (1.7901) Prec@1 59.375 (59.177) Prec@5 82.812 (80.964) Epoch: [42][2720/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8093 (1.7905) Prec@1 57.031 (59.166) Prec@5 78.906 (80.962) Epoch: [42][2730/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.7327 (1.7904) Prec@1 64.844 (59.168) Prec@5 78.906 (80.965) Epoch: [42][2740/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.8448 (1.7906) Prec@1 60.938 (59.165) Prec@5 80.469 (80.964) Epoch: [42][2750/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.9687 (1.7909) Prec@1 63.281 (59.164) Prec@5 79.688 (80.959) Epoch: [42][2760/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.5229 (1.7911) Prec@1 62.500 (59.159) Prec@5 86.719 (80.957) Epoch: [42][2770/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.5360 (1.7910) Prec@1 64.844 (59.162) Prec@5 85.156 (80.964) Epoch: [42][2780/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.8929 (1.7914) Prec@1 57.031 (59.153) Prec@5 78.906 (80.958) Epoch: [42][2790/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.6781 (1.7918) Prec@1 60.938 (59.145) Prec@5 83.594 (80.951) Epoch: [42][2800/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.9813 (1.7916) Prec@1 58.594 (59.150) Prec@5 75.781 (80.952) Epoch: [42][2810/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.3641 (1.7916) Prec@1 70.312 (59.156) Prec@5 87.500 (80.951) Epoch: [42][2820/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.9980 (1.7917) Prec@1 57.812 (59.158) Prec@5 78.125 (80.948) Epoch: [42][2830/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.6593 (1.7915) Prec@1 64.844 (59.163) Prec@5 82.031 (80.954) Epoch: [42][2840/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.7051 (1.7914) Prec@1 64.062 (59.164) Prec@5 78.906 (80.955) Epoch: [42][2850/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.6223 (1.7911) Prec@1 64.062 (59.177) Prec@5 84.375 (80.960) Epoch: [42][2860/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 1.8640 (1.7912) Prec@1 59.375 (59.170) Prec@5 82.031 (80.958) Epoch: [42][2870/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.5627 (1.7908) Prec@1 61.719 (59.178) Prec@5 86.719 (80.965) Epoch: [42][2880/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.7964 (1.7909) Prec@1 62.500 (59.181) Prec@5 82.812 (80.963) Epoch: [42][2890/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.0928 (1.7910) Prec@1 46.875 (59.177) Prec@5 79.688 (80.969) Epoch: [42][2900/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.0027 (1.7913) Prec@1 59.375 (59.175) Prec@5 76.562 (80.964) Epoch: [42][2910/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.0972 (1.7912) Prec@1 50.781 (59.176) Prec@5 77.344 (80.965) Epoch: [42][2920/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.8922 (1.7913) Prec@1 63.281 (59.173) Prec@5 81.250 (80.964) Epoch: [42][2930/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.7681 (1.7915) Prec@1 55.469 (59.162) Prec@5 83.594 (80.960) Epoch: [42][2940/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.4892 (1.7912) Prec@1 63.281 (59.165) Prec@5 87.500 (80.963) Epoch: [42][2950/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.0363 (1.7911) Prec@1 51.562 (59.166) Prec@5 79.688 (80.967) Epoch: [42][2960/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.0961 (1.7915) Prec@1 53.906 (59.158) Prec@5 75.781 (80.959) Epoch: [42][2970/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 2.0737 (1.7915) Prec@1 54.688 (59.156) Prec@5 75.781 (80.961) Epoch: [42][2980/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9722 (1.7918) Prec@1 56.250 (59.154) Prec@5 83.594 (80.960) Epoch: [42][2990/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.6654 (1.7919) Prec@1 60.938 (59.152) Prec@5 81.250 (80.956) Epoch: [42][3000/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.7494 (1.7920) Prec@1 61.719 (59.151) Prec@5 78.125 (80.952) Epoch: [42][3010/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8032 (1.7921) Prec@1 60.156 (59.150) Prec@5 83.594 (80.953) Epoch: [42][3020/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.9465 (1.7921) Prec@1 52.344 (59.145) Prec@5 78.125 (80.956) Epoch: [42][3030/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 2.0363 (1.7922) Prec@1 56.250 (59.140) Prec@5 75.781 (80.955) Epoch: [42][3040/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.1120 (1.7924) Prec@1 49.219 (59.134) Prec@5 78.125 (80.949) Epoch: [42][3050/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.6000 (1.7921) Prec@1 57.812 (59.137) Prec@5 83.594 (80.953) Epoch: [42][3060/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.7564 (1.7921) Prec@1 62.500 (59.133) Prec@5 83.594 (80.956) Epoch: [42][3070/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8988 (1.7922) Prec@1 57.031 (59.135) Prec@5 76.562 (80.955) Epoch: [42][3080/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.2003 (1.7923) Prec@1 53.906 (59.135) Prec@5 76.562 (80.952) Epoch: [42][3090/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.7456 (1.7925) Prec@1 59.375 (59.132) Prec@5 79.688 (80.949) Epoch: [42][3100/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.8848 (1.7925) Prec@1 57.812 (59.133) Prec@5 78.125 (80.949) Epoch: [42][3110/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.0802 (1.7926) Prec@1 54.688 (59.126) Prec@5 77.344 (80.950) Epoch: [42][3120/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.5962 (1.7927) Prec@1 62.500 (59.129) Prec@5 85.156 (80.950) Epoch: [42][3130/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.5630 (1.7927) Prec@1 67.969 (59.127) Prec@5 85.938 (80.947) Epoch: [42][3140/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.7169 (1.7931) Prec@1 61.719 (59.122) Prec@5 82.812 (80.942) Epoch: [42][3150/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.1852 (1.7934) Prec@1 49.219 (59.114) Prec@5 77.344 (80.940) Epoch: [42][3160/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.4571 (1.7933) Prec@1 67.188 (59.117) Prec@5 82.031 (80.939) Epoch: [42][3170/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.6721 (1.7931) Prec@1 60.156 (59.119) Prec@5 85.156 (80.944) Epoch: [42][3180/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 1.7258 (1.7929) Prec@1 63.281 (59.121) Prec@5 84.375 (80.944) Epoch: [42][3190/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.8618 (1.7932) Prec@1 57.031 (59.117) Prec@5 81.250 (80.939) Epoch: [42][3200/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.6006 (1.7931) Prec@1 66.406 (59.121) Prec@5 85.156 (80.941) Epoch: [42][3210/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.8260 (1.7932) Prec@1 63.281 (59.118) Prec@5 78.906 (80.940) Epoch: [42][3220/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.6828 (1.7930) Prec@1 53.906 (59.122) Prec@5 82.812 (80.942) Epoch: [42][3230/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8157 (1.7929) Prec@1 62.500 (59.125) Prec@5 80.469 (80.943) Epoch: [42][3240/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.7655 (1.7931) Prec@1 57.812 (59.122) Prec@5 78.125 (80.942) Epoch: [42][3250/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7998 (1.7929) Prec@1 56.250 (59.121) Prec@5 80.469 (80.945) Epoch: [42][3260/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.8107 (1.7930) Prec@1 60.938 (59.123) Prec@5 82.812 (80.949) Epoch: [42][3270/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.8698 (1.7931) Prec@1 57.812 (59.122) Prec@5 76.562 (80.947) Epoch: [42][3280/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7197 (1.7929) Prec@1 64.062 (59.121) Prec@5 84.375 (80.953) Epoch: [42][3290/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.5277 (1.7926) Prec@1 56.250 (59.125) Prec@5 89.062 (80.959) Epoch: [42][3300/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8601 (1.7925) Prec@1 54.688 (59.130) Prec@5 79.688 (80.964) Epoch: [42][3310/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 1.6987 (1.7928) Prec@1 60.938 (59.122) Prec@5 82.031 (80.959) Epoch: [42][3320/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.6857 (1.7926) Prec@1 61.719 (59.128) Prec@5 79.688 (80.961) Epoch: [42][3330/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.8902 (1.7925) Prec@1 60.938 (59.127) Prec@5 77.344 (80.961) Epoch: [42][3340/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.9338 (1.7926) Prec@1 57.812 (59.131) Prec@5 78.906 (80.959) Epoch: [42][3350/10010] Time 0.316 (0.332) Data 0.000 (0.002) Loss 1.5214 (1.7926) Prec@1 60.938 (59.129) Prec@5 86.719 (80.961) Epoch: [42][3360/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.9344 (1.7928) Prec@1 59.375 (59.125) Prec@5 78.125 (80.959) Epoch: [42][3370/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.6685 (1.7930) Prec@1 60.156 (59.119) Prec@5 82.812 (80.954) Epoch: [42][3380/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.7459 (1.7930) Prec@1 56.250 (59.118) Prec@5 84.375 (80.953) Epoch: [42][3390/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.7598 (1.7930) Prec@1 63.281 (59.123) Prec@5 80.469 (80.956) Epoch: [42][3400/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.7881 (1.7931) Prec@1 56.250 (59.124) Prec@5 82.812 (80.952) Epoch: [42][3410/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.6947 (1.7929) Prec@1 63.281 (59.128) Prec@5 79.688 (80.952) Epoch: [42][3420/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.6000 (1.7929) Prec@1 64.844 (59.127) Prec@5 82.031 (80.952) Epoch: [42][3430/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.5380 (1.7929) Prec@1 61.719 (59.124) Prec@5 83.594 (80.948) Epoch: [42][3440/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.9196 (1.7930) Prec@1 57.031 (59.123) Prec@5 79.688 (80.949) Epoch: [42][3450/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.0423 (1.7933) Prec@1 55.469 (59.119) Prec@5 78.906 (80.946) Epoch: [42][3460/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.8711 (1.7934) Prec@1 61.719 (59.117) Prec@5 78.906 (80.944) Epoch: [42][3470/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.7341 (1.7934) Prec@1 60.156 (59.118) Prec@5 81.250 (80.944) Epoch: [42][3480/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.5357 (1.7934) Prec@1 63.281 (59.121) Prec@5 86.719 (80.947) Epoch: [42][3490/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.6832 (1.7935) Prec@1 60.938 (59.117) Prec@5 82.031 (80.945) Epoch: [42][3500/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8894 (1.7934) Prec@1 58.594 (59.121) Prec@5 82.031 (80.947) Epoch: [42][3510/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6311 (1.7935) Prec@1 57.031 (59.115) Prec@5 80.469 (80.947) Epoch: [42][3520/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.2045 (1.7939) Prec@1 54.688 (59.110) Prec@5 77.344 (80.939) Epoch: [42][3530/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8933 (1.7939) Prec@1 54.688 (59.106) Prec@5 79.688 (80.940) Epoch: [42][3540/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.7571 (1.7942) Prec@1 60.156 (59.101) Prec@5 82.812 (80.934) Epoch: [42][3550/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.1528 (1.7943) Prec@1 50.781 (59.099) Prec@5 72.656 (80.933) Epoch: [42][3560/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8101 (1.7943) Prec@1 54.688 (59.098) Prec@5 80.469 (80.936) Epoch: [42][3570/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7332 (1.7945) Prec@1 57.031 (59.094) Prec@5 78.906 (80.933) Epoch: [42][3580/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8335 (1.7944) Prec@1 58.594 (59.099) Prec@5 78.125 (80.933) Epoch: [42][3590/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0956 (1.7944) Prec@1 48.438 (59.101) Prec@5 79.688 (80.935) Epoch: [42][3600/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.3884 (1.7946) Prec@1 67.188 (59.098) Prec@5 85.938 (80.932) Epoch: [42][3610/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.5463 (1.7945) Prec@1 65.625 (59.100) Prec@5 85.156 (80.934) Epoch: [42][3620/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8459 (1.7948) Prec@1 53.906 (59.096) Prec@5 80.469 (80.931) Epoch: [42][3630/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.5998 (1.7948) Prec@1 68.750 (59.094) Prec@5 85.938 (80.929) Epoch: [42][3640/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6603 (1.7948) Prec@1 60.156 (59.093) Prec@5 85.156 (80.931) Epoch: [42][3650/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7209 (1.7948) Prec@1 62.500 (59.092) Prec@5 82.031 (80.930) Epoch: [42][3660/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6268 (1.7949) Prec@1 65.625 (59.089) Prec@5 80.469 (80.927) Epoch: [42][3670/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0776 (1.7952) Prec@1 49.219 (59.080) Prec@5 79.688 (80.922) Epoch: [42][3680/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9278 (1.7953) Prec@1 58.594 (59.080) Prec@5 77.344 (80.922) Epoch: [42][3690/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8057 (1.7953) Prec@1 61.719 (59.078) Prec@5 82.031 (80.924) Epoch: [42][3700/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9033 (1.7954) Prec@1 54.688 (59.074) Prec@5 85.156 (80.925) Epoch: [42][3710/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8081 (1.7953) Prec@1 57.812 (59.071) Prec@5 80.469 (80.926) Epoch: [42][3720/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.1690 (1.7952) Prec@1 53.125 (59.074) Prec@5 77.344 (80.928) Epoch: [42][3730/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.1079 (1.7951) Prec@1 50.781 (59.077) Prec@5 78.125 (80.930) Epoch: [42][3740/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5988 (1.7948) Prec@1 67.188 (59.084) Prec@5 82.031 (80.932) Epoch: [42][3750/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.3348 (1.7944) Prec@1 68.750 (59.090) Prec@5 87.500 (80.938) Epoch: [42][3760/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8772 (1.7946) Prec@1 58.594 (59.090) Prec@5 81.250 (80.938) Epoch: [42][3770/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9544 (1.7948) Prec@1 51.562 (59.086) Prec@5 81.250 (80.933) Epoch: [42][3780/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.5288 (1.7945) Prec@1 65.625 (59.093) Prec@5 83.594 (80.939) Epoch: [42][3790/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8900 (1.7945) Prec@1 58.594 (59.093) Prec@5 78.125 (80.940) Epoch: [42][3800/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6854 (1.7948) Prec@1 60.156 (59.086) Prec@5 81.250 (80.935) Epoch: [42][3810/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8664 (1.7949) Prec@1 52.344 (59.085) Prec@5 82.031 (80.934) Epoch: [42][3820/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8413 (1.7951) Prec@1 55.469 (59.082) Prec@5 83.594 (80.933) Epoch: [42][3830/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.5988 (1.7950) Prec@1 61.719 (59.085) Prec@5 84.375 (80.936) Epoch: [42][3840/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.1761 (1.7950) Prec@1 53.125 (59.086) Prec@5 75.000 (80.938) /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][3850/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7726 (1.7952) Prec@1 59.375 (59.083) Prec@5 82.812 (80.935) Epoch: [42][3860/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9363 (1.7953) Prec@1 52.344 (59.080) Prec@5 78.125 (80.931) Epoch: [42][3870/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.9295 (1.7955) Prec@1 56.250 (59.079) Prec@5 83.594 (80.930) Epoch: [42][3880/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7687 (1.7953) Prec@1 61.719 (59.084) Prec@5 82.031 (80.934) Epoch: [42][3890/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8161 (1.7954) Prec@1 64.844 (59.085) Prec@5 82.031 (80.935) Epoch: [42][3900/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6966 (1.7952) Prec@1 64.062 (59.090) Prec@5 81.250 (80.938) Epoch: [42][3910/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.9778 (1.7952) Prec@1 55.469 (59.092) Prec@5 73.438 (80.937) Epoch: [42][3920/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.8700 (1.7952) Prec@1 56.250 (59.092) Prec@5 81.250 (80.938) Epoch: [42][3930/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8895 (1.7952) Prec@1 61.719 (59.095) Prec@5 80.469 (80.937) Epoch: [42][3940/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7420 (1.7953) Prec@1 57.031 (59.091) Prec@5 83.594 (80.937) Epoch: [42][3950/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8387 (1.7953) Prec@1 56.250 (59.091) Prec@5 79.688 (80.939) Epoch: [42][3960/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7530 (1.7953) Prec@1 59.375 (59.097) Prec@5 81.250 (80.939) Epoch: [42][3970/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6622 (1.7952) Prec@1 64.062 (59.100) Prec@5 84.375 (80.943) Epoch: [42][3980/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6115 (1.7955) Prec@1 62.500 (59.097) Prec@5 82.031 (80.936) Epoch: [42][3990/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9454 (1.7954) Prec@1 55.469 (59.096) Prec@5 77.344 (80.936) Epoch: [42][4000/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8196 (1.7955) Prec@1 57.812 (59.095) Prec@5 81.250 (80.935) Epoch: [42][4010/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7526 (1.7954) Prec@1 60.938 (59.093) Prec@5 82.812 (80.936) Epoch: [42][4020/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7923 (1.7954) Prec@1 60.938 (59.091) Prec@5 78.125 (80.935) Epoch: [42][4030/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9043 (1.7954) Prec@1 60.156 (59.092) Prec@5 78.125 (80.934) Epoch: [42][4040/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6207 (1.7952) Prec@1 64.844 (59.094) Prec@5 80.469 (80.936) Epoch: [42][4050/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0679 (1.7952) Prec@1 48.438 (59.090) Prec@5 75.000 (80.936) Epoch: [42][4060/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7913 (1.7952) Prec@1 60.156 (59.087) Prec@5 81.250 (80.935) Epoch: [42][4070/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7627 (1.7952) Prec@1 60.938 (59.090) Prec@5 80.469 (80.934) Epoch: [42][4080/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7160 (1.7953) Prec@1 61.719 (59.084) Prec@5 83.594 (80.933) Epoch: [42][4090/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5557 (1.7953) Prec@1 60.938 (59.087) Prec@5 82.812 (80.935) Epoch: [42][4100/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9231 (1.7953) Prec@1 55.469 (59.089) Prec@5 80.469 (80.936) Epoch: [42][4110/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6785 (1.7953) Prec@1 60.156 (59.089) Prec@5 82.812 (80.933) Epoch: [42][4120/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.8331 (1.7951) Prec@1 67.188 (59.094) Prec@5 81.250 (80.936) Epoch: [42][4130/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9893 (1.7953) Prec@1 60.156 (59.091) Prec@5 78.906 (80.929) Epoch: [42][4140/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8676 (1.7954) Prec@1 57.812 (59.086) Prec@5 82.031 (80.931) Epoch: [42][4150/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5629 (1.7954) Prec@1 64.844 (59.085) Prec@5 83.594 (80.931) Epoch: [42][4160/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.5634 (1.7952) Prec@1 66.406 (59.088) Prec@5 83.594 (80.930) Epoch: [42][4170/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6760 (1.7949) Prec@1 65.625 (59.094) Prec@5 83.594 (80.934) Epoch: [42][4180/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.5472 (1.7948) Prec@1 64.844 (59.095) Prec@5 84.375 (80.936) Epoch: [42][4190/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9114 (1.7948) Prec@1 54.688 (59.095) Prec@5 80.469 (80.935) /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][4200/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.7719 (1.7948) Prec@1 57.812 (59.090) Prec@5 81.250 (80.933) Epoch: [42][4210/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.8044 (1.7948) Prec@1 60.938 (59.086) Prec@5 78.906 (80.933) Epoch: [42][4220/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6267 (1.7946) Prec@1 58.594 (59.089) Prec@5 84.375 (80.935) Epoch: [42][4230/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.5578 (1.7947) Prec@1 64.844 (59.087) Prec@5 85.938 (80.933) Epoch: [42][4240/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8515 (1.7948) Prec@1 58.594 (59.084) Prec@5 78.906 (80.933) Epoch: [42][4250/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8542 (1.7947) Prec@1 51.562 (59.086) Prec@5 79.688 (80.933) Epoch: [42][4260/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.9025 (1.7947) Prec@1 57.031 (59.083) Prec@5 79.688 (80.935) Epoch: [42][4270/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7095 (1.7945) Prec@1 64.062 (59.088) Prec@5 84.375 (80.938) Epoch: [42][4280/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9218 (1.7947) Prec@1 57.031 (59.088) Prec@5 79.688 (80.938) Epoch: [42][4290/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7155 (1.7947) Prec@1 58.594 (59.083) Prec@5 82.031 (80.936) Epoch: [42][4300/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.3056 (1.7950) Prec@1 50.000 (59.078) Prec@5 71.875 (80.932) Epoch: [42][4310/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7086 (1.7950) Prec@1 63.281 (59.078) Prec@5 81.250 (80.931) Epoch: [42][4320/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8632 (1.7951) Prec@1 59.375 (59.076) Prec@5 78.125 (80.929) Epoch: [42][4330/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.5903 (1.7951) Prec@1 60.156 (59.072) Prec@5 86.719 (80.932) Epoch: [42][4340/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8280 (1.7951) Prec@1 55.469 (59.071) Prec@5 78.125 (80.934) Epoch: [42][4350/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6796 (1.7950) Prec@1 56.250 (59.072) Prec@5 83.594 (80.937) Epoch: [42][4360/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.1010 (1.7951) Prec@1 52.344 (59.070) Prec@5 76.562 (80.937) Epoch: [42][4370/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.6837 (1.7950) Prec@1 60.156 (59.075) Prec@5 83.594 (80.936) Epoch: [42][4380/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5366 (1.7950) Prec@1 64.062 (59.076) Prec@5 82.812 (80.935) Epoch: [42][4390/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.6699 (1.7949) Prec@1 60.938 (59.074) Prec@5 85.156 (80.935) Epoch: [42][4400/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6548 (1.7952) Prec@1 63.281 (59.072) Prec@5 87.500 (80.932) Epoch: [42][4410/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9776 (1.7951) Prec@1 57.031 (59.073) Prec@5 79.688 (80.932) Epoch: [42][4420/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8735 (1.7953) Prec@1 53.125 (59.071) Prec@5 82.812 (80.929) Epoch: [42][4430/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8452 (1.7952) Prec@1 59.375 (59.076) Prec@5 82.031 (80.932) Epoch: [42][4440/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.3904 (1.7952) Prec@1 67.969 (59.080) Prec@5 89.062 (80.932) Epoch: [42][4450/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9159 (1.7951) Prec@1 57.812 (59.082) Prec@5 78.906 (80.931) Epoch: [42][4460/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5216 (1.7949) Prec@1 66.406 (59.086) Prec@5 85.156 (80.935) Epoch: [42][4470/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9727 (1.7949) Prec@1 59.375 (59.088) Prec@5 74.219 (80.935) Epoch: [42][4480/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6480 (1.7950) Prec@1 64.844 (59.085) Prec@5 79.688 (80.932) Epoch: [42][4490/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0641 (1.7950) Prec@1 56.250 (59.085) Prec@5 81.250 (80.931) Epoch: [42][4500/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8133 (1.7949) Prec@1 58.594 (59.086) Prec@5 80.469 (80.933) Epoch: [42][4510/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6737 (1.7950) Prec@1 64.844 (59.089) Prec@5 82.031 (80.932) Epoch: [42][4520/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.7910 (1.7949) Prec@1 61.719 (59.092) Prec@5 83.594 (80.933) Epoch: [42][4530/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7251 (1.7950) Prec@1 60.938 (59.086) Prec@5 79.688 (80.930) Epoch: [42][4540/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.6051 (1.7949) Prec@1 67.188 (59.093) Prec@5 82.812 (80.933) Epoch: [42][4550/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7891 (1.7950) Prec@1 60.156 (59.091) Prec@5 82.812 (80.931) Epoch: [42][4560/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0054 (1.7951) Prec@1 57.812 (59.090) Prec@5 79.688 (80.932) Epoch: [42][4570/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.5242 (1.7952) Prec@1 66.406 (59.087) Prec@5 85.938 (80.931) Epoch: [42][4580/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7331 (1.7952) Prec@1 60.938 (59.090) Prec@5 79.688 (80.930) Epoch: [42][4590/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9535 (1.7953) Prec@1 51.562 (59.086) Prec@5 79.688 (80.927) Epoch: [42][4600/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7882 (1.7954) Prec@1 59.375 (59.086) Prec@5 78.906 (80.924) Epoch: [42][4610/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.0345 (1.7954) Prec@1 57.812 (59.088) Prec@5 73.438 (80.923) Epoch: [42][4620/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9317 (1.7955) Prec@1 56.250 (59.089) Prec@5 73.438 (80.920) Epoch: [42][4630/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8183 (1.7955) Prec@1 57.031 (59.088) Prec@5 79.688 (80.920) Epoch: [42][4640/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9366 (1.7953) Prec@1 60.938 (59.092) Prec@5 78.906 (80.923) Epoch: [42][4650/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.0957 (1.7954) Prec@1 53.125 (59.095) Prec@5 79.688 (80.921) Epoch: [42][4660/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.2021 (1.7954) Prec@1 52.344 (59.097) Prec@5 76.562 (80.924) Epoch: [42][4670/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8473 (1.7954) Prec@1 62.500 (59.099) Prec@5 78.125 (80.925) Epoch: [42][4680/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8146 (1.7955) Prec@1 59.375 (59.094) Prec@5 78.906 (80.923) Epoch: [42][4690/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.4265 (1.7956) Prec@1 43.750 (59.093) Prec@5 74.219 (80.921) Epoch: [42][4700/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6946 (1.7957) Prec@1 57.031 (59.095) Prec@5 85.938 (80.920) Epoch: [42][4710/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.4851 (1.7957) Prec@1 64.844 (59.095) Prec@5 86.719 (80.921) Epoch: [42][4720/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8149 (1.7959) Prec@1 60.156 (59.093) Prec@5 78.125 (80.916) Epoch: [42][4730/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9653 (1.7962) Prec@1 58.594 (59.090) Prec@5 78.906 (80.911) Epoch: [42][4740/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6814 (1.7962) Prec@1 63.281 (59.088) Prec@5 82.812 (80.907) Epoch: [42][4750/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7280 (1.7962) Prec@1 63.281 (59.089) Prec@5 79.688 (80.906) Epoch: [42][4760/10010] Time 0.352 (0.332) Data 0.000 (0.001) Loss 1.6250 (1.7963) Prec@1 63.281 (59.085) Prec@5 84.375 (80.905) Epoch: [42][4770/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.0898 (1.7964) Prec@1 51.562 (59.081) Prec@5 78.125 (80.903) Epoch: [42][4780/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9554 (1.7965) Prec@1 50.000 (59.078) Prec@5 78.125 (80.901) Epoch: [42][4790/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8499 (1.7966) Prec@1 60.938 (59.076) Prec@5 74.219 (80.901) Epoch: [42][4800/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7026 (1.7965) Prec@1 57.812 (59.074) Prec@5 84.375 (80.901) Epoch: [42][4810/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7092 (1.7965) Prec@1 60.156 (59.075) Prec@5 82.031 (80.902) Epoch: [42][4820/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5555 (1.7965) Prec@1 64.062 (59.074) Prec@5 82.031 (80.902) Epoch: [42][4830/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7013 (1.7964) Prec@1 58.594 (59.073) Prec@5 85.156 (80.903) Epoch: [42][4840/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7777 (1.7963) Prec@1 58.594 (59.078) Prec@5 81.250 (80.902) Epoch: [42][4850/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.4587 (1.7961) Prec@1 63.281 (59.081) Prec@5 87.500 (80.905) Epoch: [42][4860/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7994 (1.7963) Prec@1 63.281 (59.083) Prec@5 81.250 (80.904) Epoch: [42][4870/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7589 (1.7962) Prec@1 62.500 (59.085) Prec@5 83.594 (80.906) Epoch: [42][4880/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.1092 (1.7963) Prec@1 60.156 (59.084) Prec@5 79.688 (80.907) Epoch: [42][4890/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.2434 (1.7964) Prec@1 49.219 (59.083) Prec@5 71.094 (80.906) Epoch: [42][4900/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8705 (1.7963) Prec@1 57.812 (59.086) Prec@5 83.594 (80.909) Epoch: [42][4910/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0486 (1.7965) Prec@1 56.250 (59.084) Prec@5 75.781 (80.906) Epoch: [42][4920/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7518 (1.7968) Prec@1 62.500 (59.082) Prec@5 82.031 (80.899) Epoch: [42][4930/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8520 (1.7966) Prec@1 60.156 (59.086) Prec@5 80.469 (80.901) Epoch: [42][4940/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0159 (1.7966) Prec@1 53.125 (59.088) Prec@5 76.562 (80.898) Epoch: [42][4950/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0095 (1.7966) Prec@1 57.031 (59.089) Prec@5 75.781 (80.895) Epoch: [42][4960/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0995 (1.7968) Prec@1 52.344 (59.086) Prec@5 77.344 (80.893) Epoch: [42][4970/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7059 (1.7969) Prec@1 62.500 (59.082) Prec@5 81.250 (80.892) Epoch: [42][4980/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.5561 (1.7969) Prec@1 64.844 (59.081) Prec@5 82.812 (80.894) Epoch: [42][4990/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6182 (1.7969) Prec@1 67.969 (59.083) Prec@5 82.812 (80.894) Epoch: [42][5000/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7628 (1.7967) Prec@1 64.062 (59.087) Prec@5 79.688 (80.898) Epoch: [42][5010/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5489 (1.7966) Prec@1 68.750 (59.090) Prec@5 82.031 (80.900) Epoch: [42][5020/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 1.9290 (1.7966) Prec@1 54.688 (59.086) Prec@5 80.469 (80.901) Epoch: [42][5030/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9255 (1.7967) Prec@1 59.375 (59.083) Prec@5 78.125 (80.899) Epoch: [42][5040/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8675 (1.7968) Prec@1 55.469 (59.082) Prec@5 82.812 (80.897) Epoch: [42][5050/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5779 (1.7967) Prec@1 61.719 (59.082) Prec@5 85.156 (80.898) Epoch: [42][5060/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9383 (1.7967) Prec@1 55.469 (59.082) Prec@5 76.562 (80.896) Epoch: [42][5070/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.9676 (1.7968) Prec@1 53.125 (59.078) Prec@5 78.906 (80.892) Epoch: [42][5080/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8231 (1.7967) Prec@1 53.125 (59.081) Prec@5 78.906 (80.894) Epoch: [42][5090/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6407 (1.7967) Prec@1 64.844 (59.080) Prec@5 84.375 (80.895) Epoch: [42][5100/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0441 (1.7969) Prec@1 50.000 (59.074) Prec@5 76.562 (80.894) Epoch: [42][5110/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6348 (1.7969) Prec@1 63.281 (59.074) Prec@5 81.250 (80.895) Epoch: [42][5120/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.5653 (1.7971) Prec@1 62.500 (59.071) Prec@5 85.156 (80.893) Epoch: [42][5130/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 1.7837 (1.7970) Prec@1 57.031 (59.074) Prec@5 80.469 (80.896) Epoch: [42][5140/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.9489 (1.7971) Prec@1 51.562 (59.071) Prec@5 77.344 (80.897) Epoch: [42][5150/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8787 (1.7973) Prec@1 60.156 (59.072) Prec@5 78.906 (80.894) /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][5160/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8568 (1.7975) Prec@1 50.781 (59.067) Prec@5 82.031 (80.891) Epoch: [42][5170/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.5561 (1.7976) Prec@1 64.844 (59.065) Prec@5 81.250 (80.888) Epoch: [42][5180/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.0898 (1.7976) Prec@1 51.562 (59.061) Prec@5 76.562 (80.888) Epoch: [42][5190/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.0858 (1.7976) Prec@1 54.688 (59.060) Prec@5 76.562 (80.888) Epoch: [42][5200/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7223 (1.7977) Prec@1 60.156 (59.059) Prec@5 82.812 (80.886) Epoch: [42][5210/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8696 (1.7978) Prec@1 57.031 (59.061) Prec@5 79.688 (80.886) Epoch: [42][5220/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8265 (1.7977) Prec@1 60.156 (59.061) Prec@5 79.688 (80.886) Epoch: [42][5230/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6266 (1.7977) Prec@1 63.281 (59.064) Prec@5 85.156 (80.885) Epoch: [42][5240/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.3276 (1.7976) Prec@1 71.875 (59.066) Prec@5 88.281 (80.887) Epoch: [42][5250/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6379 (1.7977) Prec@1 63.281 (59.064) Prec@5 82.031 (80.887) Epoch: [42][5260/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6085 (1.7975) Prec@1 62.500 (59.063) Prec@5 84.375 (80.890) Epoch: [42][5270/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5388 (1.7974) Prec@1 62.500 (59.061) Prec@5 84.375 (80.892) Epoch: [42][5280/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5728 (1.7973) Prec@1 64.062 (59.063) Prec@5 84.375 (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: [42][5290/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8757 (1.7972) Prec@1 55.469 (59.064) Prec@5 80.469 (80.894) Epoch: [42][5300/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.0728 (1.7973) Prec@1 54.688 (59.063) Prec@5 73.438 (80.892) Epoch: [42][5310/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.4747 (1.7971) Prec@1 66.406 (59.067) Prec@5 88.281 (80.896) Epoch: [42][5320/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9023 (1.7971) Prec@1 55.469 (59.068) Prec@5 76.562 (80.895) Epoch: [42][5330/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8357 (1.7972) Prec@1 58.594 (59.065) Prec@5 78.906 (80.893) Epoch: [42][5340/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.7221 (1.7973) Prec@1 58.594 (59.062) Prec@5 83.594 (80.892) Epoch: [42][5350/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.2952 (1.7973) Prec@1 51.562 (59.060) Prec@5 75.781 (80.891) Epoch: [42][5360/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.2938 (1.7974) Prec@1 51.562 (59.059) Prec@5 75.781 (80.890) Epoch: [42][5370/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6572 (1.7975) Prec@1 59.375 (59.057) Prec@5 83.594 (80.889) Epoch: [42][5380/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6371 (1.7974) Prec@1 67.188 (59.060) Prec@5 81.250 (80.890) Epoch: [42][5390/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9974 (1.7976) Prec@1 57.031 (59.055) Prec@5 78.125 (80.888) Epoch: [42][5400/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0478 (1.7976) Prec@1 54.688 (59.055) Prec@5 77.344 (80.886) Epoch: [42][5410/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8968 (1.7977) Prec@1 60.938 (59.058) Prec@5 79.688 (80.885) Epoch: [42][5420/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.5975 (1.7975) Prec@1 60.938 (59.062) Prec@5 83.594 (80.887) Epoch: [42][5430/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8278 (1.7978) Prec@1 59.375 (59.058) Prec@5 82.812 (80.884) Epoch: [42][5440/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8869 (1.7976) Prec@1 56.250 (59.060) Prec@5 78.906 (80.887) Epoch: [42][5450/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8507 (1.7977) Prec@1 58.594 (59.058) Prec@5 80.469 (80.887) Epoch: [42][5460/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6013 (1.7978) Prec@1 65.625 (59.056) Prec@5 85.156 (80.885) Epoch: [42][5470/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.6366 (1.7977) Prec@1 58.594 (59.058) Prec@5 82.031 (80.884) Epoch: [42][5480/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 1.3315 (1.7979) Prec@1 61.719 (59.055) Prec@5 89.844 (80.881) Epoch: [42][5490/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8663 (1.7978) Prec@1 54.688 (59.056) Prec@5 81.250 (80.883) Epoch: [42][5500/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0075 (1.7980) Prec@1 54.688 (59.053) Prec@5 78.906 (80.879) Epoch: [42][5510/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9124 (1.7981) Prec@1 60.938 (59.051) Prec@5 79.688 (80.877) Epoch: [42][5520/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7158 (1.7982) Prec@1 63.281 (59.048) Prec@5 83.594 (80.875) Epoch: [42][5530/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.5398 (1.7984) Prec@1 67.969 (59.047) Prec@5 84.375 (80.874) Epoch: [42][5540/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6532 (1.7982) Prec@1 64.062 (59.050) Prec@5 83.594 (80.877) Epoch: [42][5550/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7117 (1.7983) Prec@1 60.156 (59.049) Prec@5 82.812 (80.878) Epoch: [42][5560/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8640 (1.7983) Prec@1 64.062 (59.049) Prec@5 81.250 (80.877) Epoch: [42][5570/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.3236 (1.7983) Prec@1 64.062 (59.049) Prec@5 89.062 (80.878) Epoch: [42][5580/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5959 (1.7982) Prec@1 64.062 (59.052) Prec@5 82.031 (80.879) Epoch: [42][5590/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7426 (1.7981) Prec@1 62.500 (59.059) Prec@5 79.688 (80.881) Epoch: [42][5600/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8592 (1.7981) Prec@1 53.906 (59.058) Prec@5 81.250 (80.883) Epoch: [42][5610/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5159 (1.7981) Prec@1 60.938 (59.056) Prec@5 88.281 (80.882) Epoch: [42][5620/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5056 (1.7979) Prec@1 63.281 (59.059) Prec@5 89.062 (80.888) Epoch: [42][5630/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7038 (1.7980) Prec@1 58.594 (59.056) Prec@5 79.688 (80.887) Epoch: [42][5640/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5877 (1.7980) Prec@1 64.062 (59.056) Prec@5 83.594 (80.886) Epoch: [42][5650/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 1.7282 (1.7981) Prec@1 63.281 (59.053) Prec@5 80.469 (80.884) Epoch: [42][5660/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7345 (1.7980) Prec@1 54.688 (59.056) Prec@5 79.688 (80.886) Epoch: [42][5670/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9157 (1.7981) Prec@1 60.938 (59.057) Prec@5 81.250 (80.885) Epoch: [42][5680/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0418 (1.7980) Prec@1 56.250 (59.059) Prec@5 74.219 (80.887) Epoch: [42][5690/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8346 (1.7980) Prec@1 60.156 (59.060) Prec@5 82.031 (80.886) Epoch: [42][5700/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6927 (1.7980) Prec@1 60.938 (59.059) Prec@5 82.812 (80.885) Epoch: [42][5710/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.4730 (1.7981) Prec@1 67.188 (59.059) Prec@5 83.594 (80.883) Epoch: [42][5720/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8473 (1.7981) Prec@1 60.156 (59.059) Prec@5 82.031 (80.883) Epoch: [42][5730/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.9821 (1.7983) Prec@1 53.125 (59.054) Prec@5 77.344 (80.881) Epoch: [42][5740/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8379 (1.7981) Prec@1 55.469 (59.055) Prec@5 78.125 (80.882) Epoch: [42][5750/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8787 (1.7981) Prec@1 57.031 (59.057) Prec@5 80.469 (80.884) Epoch: [42][5760/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.2086 (1.7983) Prec@1 50.000 (59.052) Prec@5 74.219 (80.884) Epoch: [42][5770/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.7213 (1.7982) Prec@1 57.812 (59.048) Prec@5 80.469 (80.884) Epoch: [42][5780/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.5110 (1.7983) Prec@1 69.531 (59.049) Prec@5 85.938 (80.883) Epoch: [42][5790/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.0848 (1.7983) Prec@1 53.125 (59.047) Prec@5 71.875 (80.882) Epoch: [42][5800/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.0157 (1.7984) Prec@1 61.719 (59.048) Prec@5 78.125 (80.880) Epoch: [42][5810/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7863 (1.7984) Prec@1 60.156 (59.047) Prec@5 75.781 (80.879) Epoch: [42][5820/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.8734 (1.7985) Prec@1 57.031 (59.045) Prec@5 80.469 (80.878) Epoch: [42][5830/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8363 (1.7985) Prec@1 60.938 (59.045) Prec@5 78.125 (80.879) Epoch: [42][5840/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.3052 (1.7986) Prec@1 50.781 (59.045) Prec@5 74.219 (80.879) Epoch: [42][5850/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.1625 (1.7986) Prec@1 56.250 (59.045) Prec@5 75.781 (80.879) Epoch: [42][5860/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8181 (1.7985) Prec@1 57.812 (59.047) Prec@5 80.469 (80.882) Epoch: [42][5870/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5215 (1.7985) Prec@1 60.938 (59.046) Prec@5 86.719 (80.884) Epoch: [42][5880/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8345 (1.7984) Prec@1 53.906 (59.048) Prec@5 78.906 (80.885) Epoch: [42][5890/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7874 (1.7983) Prec@1 59.375 (59.047) Prec@5 82.031 (80.884) Epoch: [42][5900/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.4730 (1.7983) Prec@1 68.750 (59.048) Prec@5 84.375 (80.883) Epoch: [42][5910/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.5834 (1.7982) Prec@1 60.938 (59.050) Prec@5 82.031 (80.884) Epoch: [42][5920/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6939 (1.7981) Prec@1 59.375 (59.051) Prec@5 82.031 (80.886) Epoch: [42][5930/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8585 (1.7983) Prec@1 58.594 (59.050) Prec@5 83.594 (80.884) Epoch: [42][5940/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8816 (1.7982) Prec@1 60.938 (59.051) Prec@5 76.562 (80.884) Epoch: [42][5950/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7434 (1.7981) Prec@1 62.500 (59.052) Prec@5 81.250 (80.886) Epoch: [42][5960/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6691 (1.7982) Prec@1 60.156 (59.052) Prec@5 82.031 (80.882) Epoch: [42][5970/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9988 (1.7983) Prec@1 57.031 (59.051) Prec@5 78.906 (80.880) Epoch: [42][5980/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.9794 (1.7982) Prec@1 52.344 (59.053) Prec@5 79.688 (80.880) Epoch: [42][5990/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.1370 (1.7983) Prec@1 52.344 (59.052) Prec@5 75.781 (80.879) Epoch: [42][6000/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9269 (1.7984) Prec@1 55.469 (59.049) Prec@5 77.344 (80.878) Epoch: [42][6010/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6074 (1.7982) Prec@1 59.375 (59.050) Prec@5 86.719 (80.881) Epoch: [42][6020/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6447 (1.7984) Prec@1 60.938 (59.046) Prec@5 86.719 (80.878) Epoch: [42][6030/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9049 (1.7984) Prec@1 57.031 (59.046) Prec@5 81.250 (80.877) Epoch: [42][6040/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7410 (1.7985) Prec@1 62.500 (59.046) Prec@5 82.031 (80.876) Epoch: [42][6050/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5332 (1.7985) Prec@1 64.062 (59.044) Prec@5 85.938 (80.877) Epoch: [42][6060/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9023 (1.7985) Prec@1 57.031 (59.043) Prec@5 78.906 (80.876) Epoch: [42][6070/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8445 (1.7987) Prec@1 59.375 (59.040) Prec@5 78.906 (80.875) Epoch: [42][6080/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.4917 (1.7986) Prec@1 65.625 (59.043) Prec@5 84.375 (80.875) Epoch: [42][6090/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7144 (1.7987) Prec@1 60.156 (59.043) Prec@5 81.250 (80.874) Epoch: [42][6100/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7584 (1.7984) Prec@1 64.062 (59.048) Prec@5 78.906 (80.876) Epoch: [42][6110/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9817 (1.7985) Prec@1 56.250 (59.048) Prec@5 78.125 (80.873) Epoch: [42][6120/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.8887 (1.7984) Prec@1 63.281 (59.051) Prec@5 80.469 (80.874) Epoch: [42][6130/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.5410 (1.7983) Prec@1 64.062 (59.053) Prec@5 84.375 (80.875) Epoch: [42][6140/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.4267 (1.7982) Prec@1 64.844 (59.055) Prec@5 82.812 (80.876) Epoch: [42][6150/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.1329 (1.7982) Prec@1 47.656 (59.054) Prec@5 75.000 (80.876) Epoch: [42][6160/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.3871 (1.7981) Prec@1 67.188 (59.057) Prec@5 87.500 (80.878) Epoch: [42][6170/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9347 (1.7982) Prec@1 59.375 (59.054) Prec@5 80.469 (80.879) Epoch: [42][6180/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.2747 (1.7984) Prec@1 53.125 (59.052) Prec@5 71.875 (80.873) Epoch: [42][6190/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.4577 (1.7984) Prec@1 66.406 (59.051) Prec@5 85.938 (80.873) Epoch: [42][6200/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6459 (1.7983) Prec@1 61.719 (59.056) Prec@5 86.719 (80.876) Epoch: [42][6210/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 1.5519 (1.7982) Prec@1 67.188 (59.059) Prec@5 82.031 (80.875) Epoch: [42][6220/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.4359 (1.7981) Prec@1 62.500 (59.063) Prec@5 88.281 (80.878) Epoch: [42][6230/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7790 (1.7979) Prec@1 60.938 (59.065) Prec@5 82.031 (80.879) Epoch: [42][6240/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8228 (1.7979) Prec@1 60.156 (59.066) Prec@5 76.562 (80.880) Epoch: [42][6250/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.4859 (1.7979) Prec@1 64.844 (59.067) Prec@5 85.156 (80.880) Epoch: [42][6260/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.4643 (1.7980) Prec@1 65.625 (59.063) Prec@5 85.938 (80.879) Epoch: [42][6270/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5801 (1.7980) Prec@1 65.625 (59.061) Prec@5 85.156 (80.878) Epoch: [42][6280/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6551 (1.7979) Prec@1 67.969 (59.066) Prec@5 84.375 (80.880) Epoch: [42][6290/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8304 (1.7978) Prec@1 60.938 (59.068) Prec@5 82.031 (80.882) Epoch: [42][6300/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7755 (1.7977) Prec@1 61.719 (59.069) Prec@5 80.469 (80.884) Epoch: [42][6310/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.0021 (1.7978) Prec@1 53.906 (59.065) Prec@5 77.344 (80.882) Epoch: [42][6320/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6443 (1.7978) Prec@1 56.250 (59.063) Prec@5 82.812 (80.884) Epoch: [42][6330/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8338 (1.7979) Prec@1 55.469 (59.061) Prec@5 79.688 (80.880) Epoch: [42][6340/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7247 (1.7980) Prec@1 58.594 (59.059) Prec@5 82.031 (80.880) Epoch: [42][6350/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0979 (1.7980) Prec@1 53.906 (59.056) Prec@5 78.906 (80.881) Epoch: [42][6360/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.0275 (1.7980) Prec@1 56.250 (59.053) Prec@5 75.000 (80.882) Epoch: [42][6370/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.5291 (1.7982) Prec@1 63.281 (59.050) Prec@5 87.500 (80.882) Epoch: [42][6380/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8265 (1.7982) Prec@1 59.375 (59.049) Prec@5 80.469 (80.881) Epoch: [42][6390/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.5774 (1.7981) Prec@1 62.500 (59.051) Prec@5 85.156 (80.881) Epoch: [42][6400/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.2756 (1.7980) Prec@1 69.531 (59.052) Prec@5 90.625 (80.881) Epoch: [42][6410/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5500 (1.7981) Prec@1 60.938 (59.050) Prec@5 84.375 (80.880) Epoch: [42][6420/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5841 (1.7981) Prec@1 64.062 (59.051) Prec@5 87.500 (80.880) Epoch: [42][6430/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.5336 (1.7981) Prec@1 60.938 (59.051) Prec@5 85.938 (80.882) Epoch: [42][6440/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9184 (1.7980) Prec@1 55.469 (59.050) Prec@5 77.344 (80.882) Epoch: [42][6450/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7824 (1.7981) Prec@1 59.375 (59.053) Prec@5 82.031 (80.881) Epoch: [42][6460/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8001 (1.7980) Prec@1 61.719 (59.054) Prec@5 77.344 (80.882) Epoch: [42][6470/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.5239 (1.7979) Prec@1 61.719 (59.056) Prec@5 86.719 (80.884) Epoch: [42][6480/10010] Time 0.351 (0.332) Data 0.002 (0.001) Loss 1.7507 (1.7980) Prec@1 57.812 (59.058) Prec@5 82.812 (80.884) Epoch: [42][6490/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9386 (1.7980) Prec@1 55.469 (59.056) Prec@5 80.469 (80.886) Epoch: [42][6500/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9160 (1.7981) Prec@1 57.031 (59.054) Prec@5 78.906 (80.884) Epoch: [42][6510/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.3864 (1.7980) Prec@1 65.625 (59.056) Prec@5 87.500 (80.886) Epoch: [42][6520/10010] Time 0.351 (0.332) Data 0.001 (0.001) Loss 2.1056 (1.7978) Prec@1 52.344 (59.057) Prec@5 78.906 (80.889) Epoch: [42][6530/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6456 (1.7979) Prec@1 60.156 (59.056) Prec@5 83.594 (80.888) Epoch: [42][6540/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5998 (1.7979) Prec@1 66.406 (59.056) Prec@5 85.938 (80.890) Epoch: [42][6550/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9390 (1.7980) Prec@1 56.250 (59.055) Prec@5 81.250 (80.890) Epoch: [42][6560/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.9385 (1.7981) Prec@1 60.938 (59.053) Prec@5 76.562 (80.889) Epoch: [42][6570/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.0700 (1.7981) Prec@1 50.781 (59.051) Prec@5 76.562 (80.889) Epoch: [42][6580/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.5840 (1.7981) Prec@1 60.938 (59.053) Prec@5 82.031 (80.891) Epoch: [42][6590/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8219 (1.7982) Prec@1 66.406 (59.056) Prec@5 82.031 (80.891) Epoch: [42][6600/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8455 (1.7981) Prec@1 57.812 (59.057) Prec@5 81.250 (80.892) Epoch: [42][6610/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.5436 (1.7983) Prec@1 60.938 (59.054) Prec@5 87.500 (80.890) Epoch: [42][6620/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0274 (1.7983) Prec@1 55.469 (59.052) Prec@5 79.688 (80.890) Epoch: [42][6630/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9663 (1.7985) Prec@1 55.469 (59.047) Prec@5 78.125 (80.886) Epoch: [42][6640/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9146 (1.7986) Prec@1 56.250 (59.043) Prec@5 82.031 (80.885) Epoch: [42][6650/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0808 (1.7987) Prec@1 50.781 (59.039) Prec@5 78.906 (80.884) Epoch: [42][6660/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.1677 (1.7987) Prec@1 50.000 (59.039) Prec@5 75.781 (80.883) Epoch: [42][6670/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.0160 (1.7988) Prec@1 51.562 (59.040) Prec@5 75.781 (80.881) Epoch: [42][6680/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6083 (1.7989) Prec@1 67.188 (59.038) Prec@5 82.812 (80.879) Epoch: [42][6690/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7513 (1.7988) Prec@1 60.156 (59.039) Prec@5 83.594 (80.881) Epoch: [42][6700/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.9382 (1.7989) Prec@1 53.125 (59.038) Prec@5 78.906 (80.879) Epoch: [42][6710/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8007 (1.7989) Prec@1 59.375 (59.038) Prec@5 78.906 (80.881) Epoch: [42][6720/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8590 (1.7990) Prec@1 60.938 (59.034) Prec@5 78.906 (80.879) Epoch: [42][6730/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9284 (1.7989) Prec@1 55.469 (59.040) Prec@5 78.125 (80.880) Epoch: [42][6740/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.4610 (1.7988) Prec@1 64.844 (59.040) Prec@5 84.375 (80.881) Epoch: [42][6750/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0744 (1.7990) Prec@1 53.906 (59.037) Prec@5 78.906 (80.879) Epoch: [42][6760/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8386 (1.7989) Prec@1 53.906 (59.038) Prec@5 78.125 (80.878) Epoch: [42][6770/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.4243 (1.7989) Prec@1 68.750 (59.041) Prec@5 89.062 (80.879) Epoch: [42][6780/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5219 (1.7989) Prec@1 62.500 (59.041) Prec@5 86.719 (80.880) Epoch: [42][6790/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7765 (1.7989) Prec@1 61.719 (59.042) Prec@5 83.594 (80.880) Epoch: [42][6800/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7598 (1.7989) Prec@1 57.031 (59.043) Prec@5 82.031 (80.880) Epoch: [42][6810/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5884 (1.7988) Prec@1 61.719 (59.042) Prec@5 84.375 (80.880) Epoch: [42][6820/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7552 (1.7989) Prec@1 62.500 (59.042) Prec@5 84.375 (80.879) Epoch: [42][6830/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8224 (1.7990) Prec@1 58.594 (59.038) Prec@5 81.250 (80.877) Epoch: [42][6840/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8105 (1.7991) Prec@1 57.031 (59.035) Prec@5 80.469 (80.876) Epoch: [42][6850/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9752 (1.7992) Prec@1 60.938 (59.035) Prec@5 79.688 (80.875) Epoch: [42][6860/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9345 (1.7993) Prec@1 60.156 (59.035) Prec@5 82.812 (80.872) Epoch: [42][6870/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.7471 (1.7993) Prec@1 61.719 (59.035) Prec@5 81.250 (80.873) Epoch: [42][6880/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0157 (1.7993) Prec@1 57.031 (59.035) Prec@5 77.344 (80.873) Epoch: [42][6890/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7543 (1.7993) Prec@1 60.938 (59.036) Prec@5 82.031 (80.873) Epoch: [42][6900/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7442 (1.7994) Prec@1 59.375 (59.034) Prec@5 78.906 (80.872) Epoch: [42][6910/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5232 (1.7993) Prec@1 67.188 (59.035) Prec@5 83.594 (80.873) Epoch: [42][6920/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8121 (1.7994) Prec@1 58.594 (59.032) Prec@5 84.375 (80.873) Epoch: [42][6930/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5650 (1.7995) Prec@1 67.188 (59.033) Prec@5 80.469 (80.871) Epoch: [42][6940/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7126 (1.7995) Prec@1 61.719 (59.034) Prec@5 84.375 (80.869) Epoch: [42][6950/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.1135 (1.7996) Prec@1 50.000 (59.031) Prec@5 78.125 (80.867) Epoch: [42][6960/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5993 (1.7996) Prec@1 64.844 (59.033) Prec@5 82.031 (80.867) Epoch: [42][6970/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9400 (1.7996) Prec@1 57.812 (59.033) Prec@5 76.562 (80.866) Epoch: [42][6980/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.1713 (1.7998) Prec@1 50.000 (59.029) Prec@5 71.875 (80.864) Epoch: [42][6990/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7410 (1.7998) Prec@1 60.156 (59.029) Prec@5 80.469 (80.864) Epoch: [42][7000/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7493 (1.7998) Prec@1 61.719 (59.029) Prec@5 80.469 (80.865) Epoch: [42][7010/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0291 (1.7998) Prec@1 53.906 (59.028) Prec@5 75.781 (80.866) Epoch: [42][7020/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8165 (1.7998) Prec@1 56.250 (59.026) Prec@5 82.031 (80.863) Epoch: [42][7030/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6451 (1.7998) Prec@1 64.844 (59.029) Prec@5 86.719 (80.865) Epoch: [42][7040/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6849 (1.7997) Prec@1 63.281 (59.030) Prec@5 81.250 (80.866) Epoch: [42][7050/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6346 (1.7997) Prec@1 64.844 (59.028) Prec@5 81.250 (80.865) Epoch: [42][7060/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6346 (1.7997) Prec@1 64.062 (59.027) Prec@5 83.594 (80.866) Epoch: [42][7070/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6081 (1.7998) Prec@1 62.500 (59.027) Prec@5 84.375 (80.866) Epoch: [42][7080/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.1203 (1.8000) Prec@1 54.688 (59.025) Prec@5 74.219 (80.863) Epoch: [42][7090/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6449 (1.8000) Prec@1 62.500 (59.022) Prec@5 83.594 (80.861) Epoch: [42][7100/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0806 (1.8000) Prec@1 50.000 (59.021) Prec@5 77.344 (80.862) Epoch: [42][7110/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9154 (1.8000) Prec@1 53.906 (59.020) Prec@5 80.469 (80.863) Epoch: [42][7120/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6841 (1.8000) Prec@1 62.500 (59.018) Prec@5 86.719 (80.864) Epoch: [42][7130/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7681 (1.8001) Prec@1 57.812 (59.016) Prec@5 82.031 (80.862) Epoch: [42][7140/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7335 (1.8000) Prec@1 60.156 (59.020) Prec@5 80.469 (80.865) Epoch: [42][7150/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9027 (1.8001) Prec@1 56.250 (59.016) Prec@5 80.469 (80.860) Epoch: [42][7160/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9132 (1.8001) Prec@1 55.469 (59.015) Prec@5 76.562 (80.859) Epoch: [42][7170/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7507 (1.8001) Prec@1 62.500 (59.015) Prec@5 81.250 (80.860) Epoch: [42][7180/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.3400 (1.8001) Prec@1 50.000 (59.014) Prec@5 74.219 (80.860) Epoch: [42][7190/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8261 (1.8002) Prec@1 55.469 (59.011) Prec@5 81.250 (80.858) Epoch: [42][7200/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8370 (1.8003) Prec@1 61.719 (59.010) Prec@5 77.344 (80.858) Epoch: [42][7210/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8135 (1.8003) Prec@1 60.938 (59.010) Prec@5 81.250 (80.857) Epoch: [42][7220/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7250 (1.8001) Prec@1 57.812 (59.009) Prec@5 80.469 (80.860) Epoch: [42][7230/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5996 (1.8002) Prec@1 65.625 (59.010) Prec@5 86.719 (80.861) Epoch: [42][7240/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0761 (1.8003) Prec@1 50.781 (59.009) Prec@5 75.781 (80.860) Epoch: [42][7250/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.7733 (1.8005) Prec@1 62.500 (59.007) Prec@5 82.031 (80.858) Epoch: [42][7260/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.6495 (1.8007) Prec@1 62.500 (59.005) Prec@5 79.688 (80.853) Epoch: [42][7270/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.0709 (1.8008) Prec@1 55.469 (59.004) Prec@5 76.562 (80.852) Epoch: [42][7280/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.9212 (1.8007) Prec@1 57.031 (59.007) Prec@5 81.250 (80.854) Epoch: [42][7290/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0243 (1.8007) Prec@1 53.125 (59.008) Prec@5 73.438 (80.853) Epoch: [42][7300/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8136 (1.8007) Prec@1 60.156 (59.006) Prec@5 79.688 (80.850) Epoch: [42][7310/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8378 (1.8008) Prec@1 59.375 (59.006) Prec@5 78.906 (80.851) Epoch: [42][7320/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.5487 (1.8008) Prec@1 64.844 (59.005) Prec@5 85.938 (80.852) Epoch: [42][7330/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9403 (1.8007) Prec@1 60.156 (59.005) Prec@5 77.344 (80.851) Epoch: [42][7340/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.5546 (1.8006) Prec@1 65.625 (59.007) Prec@5 84.375 (80.854) Epoch: [42][7350/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.1636 (1.8007) Prec@1 48.438 (59.006) Prec@5 79.688 (80.853) Epoch: [42][7360/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9175 (1.8006) Prec@1 51.562 (59.006) Prec@5 78.125 (80.854) Epoch: [42][7370/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8690 (1.8007) Prec@1 56.250 (59.005) Prec@5 80.469 (80.852) Epoch: [42][7380/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8722 (1.8008) Prec@1 60.156 (59.005) Prec@5 82.031 (80.850) Epoch: [42][7390/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6180 (1.8008) Prec@1 64.062 (59.002) Prec@5 82.812 (80.850) Epoch: [42][7400/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.3740 (1.8008) Prec@1 61.719 (59.003) Prec@5 89.844 (80.852) Epoch: [42][7410/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7510 (1.8008) Prec@1 62.500 (59.005) Prec@5 85.156 (80.852) Epoch: [42][7420/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6112 (1.8009) Prec@1 58.594 (59.001) Prec@5 82.031 (80.850) Epoch: [42][7430/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7003 (1.8008) Prec@1 62.500 (59.004) Prec@5 77.344 (80.850) Epoch: [42][7440/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.0802 (1.8009) Prec@1 50.781 (59.004) Prec@5 74.219 (80.849) /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][7450/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 1.7880 (1.8008) Prec@1 58.594 (59.006) Prec@5 81.250 (80.851) Epoch: [42][7460/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.8014 (1.8008) Prec@1 58.594 (59.005) Prec@5 82.031 (80.851) Epoch: [42][7470/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6934 (1.8008) Prec@1 56.250 (59.004) Prec@5 81.250 (80.850) Epoch: [42][7480/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9913 (1.8009) Prec@1 55.469 (59.002) Prec@5 77.344 (80.849) Epoch: [42][7490/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6306 (1.8009) Prec@1 64.844 (59.000) Prec@5 81.250 (80.847) Epoch: [42][7500/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.7909 (1.8010) Prec@1 57.031 (59.001) Prec@5 79.688 (80.849) Epoch: [42][7510/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.1450 (1.8011) Prec@1 54.688 (59.000) Prec@5 75.781 (80.845) Epoch: [42][7520/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8097 (1.8012) Prec@1 58.594 (58.998) Prec@5 82.031 (80.845) Epoch: [42][7530/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.0314 (1.8012) Prec@1 50.000 (58.996) Prec@5 77.344 (80.846) Epoch: [42][7540/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6802 (1.8011) Prec@1 62.500 (58.998) Prec@5 80.469 (80.849) Epoch: [42][7550/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6376 (1.8012) Prec@1 55.469 (58.997) Prec@5 82.812 (80.848) Epoch: [42][7560/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.5863 (1.8012) Prec@1 63.281 (58.997) Prec@5 83.594 (80.850) Epoch: [42][7570/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7026 (1.8012) Prec@1 62.500 (58.997) Prec@5 79.688 (80.850) Epoch: [42][7580/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.5727 (1.8011) Prec@1 64.062 (58.999) Prec@5 82.031 (80.851) Epoch: [42][7590/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.4550 (1.8011) Prec@1 62.500 (59.000) Prec@5 86.719 (80.851) Epoch: [42][7600/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8961 (1.8013) Prec@1 61.719 (58.998) Prec@5 77.344 (80.848) Epoch: [42][7610/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6949 (1.8012) Prec@1 58.594 (58.998) Prec@5 82.031 (80.848) Epoch: [42][7620/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.0503 (1.8012) Prec@1 52.344 (58.999) Prec@5 78.906 (80.848) Epoch: [42][7630/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8614 (1.8011) Prec@1 58.594 (58.999) Prec@5 81.250 (80.849) Epoch: [42][7640/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7965 (1.8011) Prec@1 59.375 (59.002) Prec@5 82.812 (80.850) Epoch: [42][7650/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6968 (1.8012) Prec@1 60.938 (59.001) Prec@5 80.469 (80.849) Epoch: [42][7660/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7033 (1.8011) Prec@1 61.719 (59.003) Prec@5 83.594 (80.851) Epoch: [42][7670/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6071 (1.8011) Prec@1 64.844 (59.003) Prec@5 83.594 (80.852) Epoch: [42][7680/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9143 (1.8012) Prec@1 55.469 (59.002) Prec@5 78.125 (80.850) Epoch: [42][7690/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7086 (1.8012) Prec@1 64.844 (59.003) Prec@5 82.031 (80.849) Epoch: [42][7700/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7072 (1.8012) Prec@1 59.375 (59.002) Prec@5 82.812 (80.848) Epoch: [42][7710/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.1549 (1.8012) Prec@1 48.438 (59.001) Prec@5 75.781 (80.849) Epoch: [42][7720/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9357 (1.8012) Prec@1 55.469 (59.000) Prec@5 77.344 (80.848) Epoch: [42][7730/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8378 (1.8012) Prec@1 59.375 (59.001) Prec@5 82.031 (80.849) Epoch: [42][7740/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9510 (1.8012) Prec@1 58.594 (59.003) Prec@5 77.344 (80.848) Epoch: [42][7750/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.9279 (1.8011) Prec@1 57.812 (59.003) Prec@5 75.000 (80.850) Epoch: [42][7760/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8259 (1.8010) Prec@1 59.375 (59.005) Prec@5 81.250 (80.852) Epoch: [42][7770/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7540 (1.8010) Prec@1 54.688 (59.007) Prec@5 84.375 (80.850) Epoch: [42][7780/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.1835 (1.8010) Prec@1 53.125 (59.006) Prec@5 75.000 (80.850) Epoch: [42][7790/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7732 (1.8010) Prec@1 58.594 (59.008) Prec@5 80.469 (80.850) Epoch: [42][7800/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7803 (1.8010) Prec@1 56.250 (59.010) Prec@5 81.250 (80.851) Epoch: [42][7810/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6529 (1.8009) Prec@1 62.500 (59.015) Prec@5 82.812 (80.853) Epoch: [42][7820/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.4825 (1.8008) Prec@1 67.188 (59.014) Prec@5 88.281 (80.853) Epoch: [42][7830/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8127 (1.8008) Prec@1 60.938 (59.017) Prec@5 81.250 (80.855) Epoch: [42][7840/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.5983 (1.8007) Prec@1 62.500 (59.020) Prec@5 83.594 (80.855) Epoch: [42][7850/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.1401 (1.8007) Prec@1 53.906 (59.018) Prec@5 75.781 (80.853) Epoch: [42][7860/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6048 (1.8007) Prec@1 64.844 (59.018) Prec@5 83.594 (80.853) Epoch: [42][7870/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7357 (1.8008) Prec@1 56.250 (59.016) Prec@5 82.031 (80.851) Epoch: [42][7880/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7726 (1.8009) Prec@1 59.375 (59.015) Prec@5 81.250 (80.850) Epoch: [42][7890/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.3875 (1.8009) Prec@1 64.062 (59.014) Prec@5 85.156 (80.849) Epoch: [42][7900/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.0141 (1.8009) Prec@1 59.375 (59.015) Prec@5 77.344 (80.848) Epoch: [42][7910/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9778 (1.8010) Prec@1 57.031 (59.014) Prec@5 79.688 (80.847) Epoch: [42][7920/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.4852 (1.8012) Prec@1 62.500 (59.012) Prec@5 84.375 (80.846) Epoch: [42][7930/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7737 (1.8012) Prec@1 57.031 (59.011) Prec@5 77.344 (80.845) Epoch: [42][7940/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0376 (1.8012) Prec@1 53.125 (59.008) Prec@5 78.125 (80.845) Epoch: [42][7950/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9201 (1.8013) Prec@1 53.906 (59.007) Prec@5 78.125 (80.843) Epoch: [42][7960/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9587 (1.8014) Prec@1 54.688 (59.004) Prec@5 75.781 (80.840) Epoch: [42][7970/10010] Time 0.323 (0.332) Data 0.002 (0.001) Loss 1.8149 (1.8013) Prec@1 64.062 (59.007) Prec@5 79.688 (80.841) Epoch: [42][7980/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9744 (1.8014) Prec@1 53.125 (59.004) Prec@5 78.906 (80.841) Epoch: [42][7990/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8513 (1.8015) Prec@1 54.688 (59.003) Prec@5 84.375 (80.841) Epoch: [42][8000/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9176 (1.8016) Prec@1 57.031 (59.000) Prec@5 80.469 (80.839) Epoch: [42][8010/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.5608 (1.8017) Prec@1 61.719 (58.999) Prec@5 84.375 (80.838) Epoch: [42][8020/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7537 (1.8017) Prec@1 57.812 (58.999) Prec@5 80.469 (80.840) Epoch: [42][8030/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9514 (1.8017) Prec@1 53.125 (58.998) Prec@5 75.781 (80.840) Epoch: [42][8040/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.0169 (1.8017) Prec@1 56.250 (58.998) Prec@5 75.781 (80.840) Epoch: [42][8050/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7640 (1.8016) Prec@1 61.719 (59.000) Prec@5 80.469 (80.840) Epoch: [42][8060/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7940 (1.8016) Prec@1 60.156 (59.000) Prec@5 80.469 (80.841) Epoch: [42][8070/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6919 (1.8017) Prec@1 58.594 (58.999) Prec@5 80.469 (80.840) Epoch: [42][8080/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9791 (1.8018) Prec@1 56.250 (58.998) Prec@5 82.031 (80.837) Epoch: [42][8090/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8148 (1.8018) Prec@1 59.375 (58.996) Prec@5 81.250 (80.836) Epoch: [42][8100/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7307 (1.8019) Prec@1 61.719 (58.992) Prec@5 80.469 (80.835) Epoch: [42][8110/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.1409 (1.8021) Prec@1 56.250 (58.989) Prec@5 77.344 (80.831) Epoch: [42][8120/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8359 (1.8022) Prec@1 59.375 (58.989) Prec@5 80.469 (80.829) Epoch: [42][8130/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9980 (1.8022) Prec@1 56.250 (58.986) Prec@5 78.125 (80.828) Epoch: [42][8140/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.6862 (1.8022) Prec@1 57.812 (58.987) Prec@5 84.375 (80.828) Epoch: [42][8150/10010] Time 0.346 (0.332) Data 0.005 (0.001) Loss 1.7125 (1.8022) Prec@1 59.375 (58.987) Prec@5 80.469 (80.826) Epoch: [42][8160/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.1027 (1.8024) Prec@1 51.562 (58.986) Prec@5 74.219 (80.825) Epoch: [42][8170/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9808 (1.8024) Prec@1 57.031 (58.984) Prec@5 77.344 (80.824) Epoch: [42][8180/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7227 (1.8025) Prec@1 61.719 (58.984) Prec@5 80.469 (80.823) Epoch: [42][8190/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.4261 (1.8023) Prec@1 66.406 (58.986) Prec@5 89.062 (80.826) Epoch: [42][8200/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6199 (1.8023) Prec@1 62.500 (58.987) Prec@5 83.594 (80.826) Epoch: [42][8210/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9658 (1.8023) Prec@1 55.469 (58.986) Prec@5 77.344 (80.827) Epoch: [42][8220/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8644 (1.8023) Prec@1 56.250 (58.987) Prec@5 81.250 (80.828) Epoch: [42][8230/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.1109 (1.8024) Prec@1 49.219 (58.983) Prec@5 78.125 (80.826) Epoch: [42][8240/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.5087 (1.8024) Prec@1 61.719 (58.980) Prec@5 85.156 (80.825) Epoch: [42][8250/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.5702 (1.8024) Prec@1 65.625 (58.981) Prec@5 85.938 (80.825) Epoch: [42][8260/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9794 (1.8025) Prec@1 58.594 (58.978) Prec@5 78.906 (80.824) Epoch: [42][8270/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8782 (1.8026) Prec@1 56.250 (58.979) Prec@5 83.594 (80.824) Epoch: [42][8280/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.7359 (1.8026) Prec@1 62.500 (58.978) Prec@5 84.375 (80.824) Epoch: [42][8290/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7776 (1.8026) Prec@1 59.375 (58.977) Prec@5 81.250 (80.824) Epoch: [42][8300/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7041 (1.8026) Prec@1 55.469 (58.977) Prec@5 82.812 (80.823) Epoch: [42][8310/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7899 (1.8026) Prec@1 60.156 (58.977) Prec@5 80.469 (80.823) Epoch: [42][8320/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8066 (1.8027) Prec@1 64.062 (58.976) Prec@5 78.906 (80.822) Epoch: [42][8330/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8805 (1.8026) Prec@1 55.469 (58.979) Prec@5 80.469 (80.824) Epoch: [42][8340/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0893 (1.8026) Prec@1 55.469 (58.979) Prec@5 77.344 (80.823) Epoch: [42][8350/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8290 (1.8026) Prec@1 59.375 (58.978) Prec@5 78.906 (80.822) Epoch: [42][8360/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8621 (1.8026) Prec@1 56.250 (58.977) Prec@5 81.250 (80.823) Epoch: [42][8370/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6040 (1.8026) Prec@1 60.156 (58.976) Prec@5 86.719 (80.822) Epoch: [42][8380/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.4124 (1.8025) Prec@1 67.969 (58.978) Prec@5 85.938 (80.821) Epoch: [42][8390/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5357 (1.8025) Prec@1 63.281 (58.978) Prec@5 84.375 (80.821) Epoch: [42][8400/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6339 (1.8024) Prec@1 60.938 (58.977) Prec@5 83.594 (80.822) Epoch: [42][8410/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.6476 (1.8023) Prec@1 58.594 (58.979) Prec@5 83.594 (80.823) Epoch: [42][8420/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.0320 (1.8024) Prec@1 53.906 (58.979) Prec@5 77.344 (80.821) Epoch: [42][8430/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6973 (1.8024) Prec@1 64.062 (58.977) Prec@5 82.031 (80.821) Epoch: [42][8440/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5372 (1.8023) Prec@1 62.500 (58.979) Prec@5 84.375 (80.823) Epoch: [42][8450/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.1339 (1.8024) Prec@1 51.562 (58.980) Prec@5 73.438 (80.821) Epoch: [42][8460/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5048 (1.8024) Prec@1 62.500 (58.980) Prec@5 82.812 (80.821) Epoch: [42][8470/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.1009 (1.8024) Prec@1 57.031 (58.978) Prec@5 74.219 (80.820) Epoch: [42][8480/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8612 (1.8025) Prec@1 65.625 (58.977) Prec@5 78.906 (80.819) Epoch: [42][8490/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0563 (1.8027) Prec@1 50.000 (58.974) Prec@5 75.781 (80.817) Epoch: [42][8500/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 1.8133 (1.8027) Prec@1 57.812 (58.972) Prec@5 81.250 (80.815) Epoch: [42][8510/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.0733 (1.8028) Prec@1 52.344 (58.970) Prec@5 73.438 (80.813) Epoch: [42][8520/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6235 (1.8028) Prec@1 64.844 (58.972) Prec@5 82.031 (80.814) Epoch: [42][8530/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.4680 (1.8027) Prec@1 55.469 (58.973) Prec@5 87.500 (80.815) Epoch: [42][8540/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.6727 (1.8029) Prec@1 58.594 (58.971) Prec@5 82.812 (80.813) Epoch: [42][8550/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7754 (1.8029) Prec@1 60.156 (58.969) Prec@5 79.688 (80.812) Epoch: [42][8560/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8471 (1.8029) Prec@1 59.375 (58.969) Prec@5 80.469 (80.813) Epoch: [42][8570/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.0369 (1.8029) Prec@1 55.469 (58.969) Prec@5 78.125 (80.812) Epoch: [42][8580/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7880 (1.8028) Prec@1 53.906 (58.972) Prec@5 82.812 (80.814) Epoch: [42][8590/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7737 (1.8027) Prec@1 57.031 (58.972) Prec@5 82.812 (80.816) Epoch: [42][8600/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8897 (1.8028) Prec@1 60.156 (58.971) Prec@5 78.125 (80.817) Epoch: [42][8610/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7025 (1.8028) Prec@1 57.812 (58.969) Prec@5 82.812 (80.816) Epoch: [42][8620/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0774 (1.8029) Prec@1 58.594 (58.968) Prec@5 75.781 (80.814) Epoch: [42][8630/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.9398 (1.8029) Prec@1 60.156 (58.969) Prec@5 75.000 (80.815) Epoch: [42][8640/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7644 (1.8028) Prec@1 61.719 (58.969) Prec@5 81.250 (80.816) Epoch: [42][8650/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0196 (1.8028) Prec@1 50.781 (58.971) Prec@5 76.562 (80.816) Epoch: [42][8660/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6239 (1.8028) Prec@1 62.500 (58.971) Prec@5 83.594 (80.816) Epoch: [42][8670/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.2688 (1.8028) Prec@1 56.250 (58.971) Prec@5 72.656 (80.815) Epoch: [42][8680/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7455 (1.8029) Prec@1 59.375 (58.968) Prec@5 82.031 (80.814) Epoch: [42][8690/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0566 (1.8029) Prec@1 50.000 (58.968) Prec@5 78.125 (80.815) Epoch: [42][8700/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7033 (1.8029) Prec@1 66.406 (58.968) Prec@5 83.594 (80.814) Epoch: [42][8710/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7142 (1.8029) Prec@1 60.156 (58.966) Prec@5 82.031 (80.814) Epoch: [42][8720/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7465 (1.8029) Prec@1 61.719 (58.966) Prec@5 82.812 (80.814) Epoch: [42][8730/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0627 (1.8030) Prec@1 51.562 (58.965) Prec@5 78.125 (80.813) Epoch: [42][8740/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6612 (1.8029) Prec@1 61.719 (58.965) Prec@5 83.594 (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: [42][8750/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8835 (1.8029) Prec@1 60.156 (58.966) Prec@5 75.781 (80.816) Epoch: [42][8760/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8857 (1.8030) Prec@1 59.375 (58.963) Prec@5 82.031 (80.813) Epoch: [42][8770/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.9612 (1.8030) Prec@1 56.250 (58.963) Prec@5 77.344 (80.811) Epoch: [42][8780/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.1852 (1.8032) Prec@1 53.125 (58.961) Prec@5 76.562 (80.809) Epoch: [42][8790/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.9195 (1.8032) Prec@1 59.375 (58.960) Prec@5 82.812 (80.808) Epoch: [42][8800/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.1929 (1.8035) Prec@1 52.344 (58.957) Prec@5 74.219 (80.804) Epoch: [42][8810/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.1512 (1.8034) Prec@1 51.562 (58.957) Prec@5 72.656 (80.804) Epoch: [42][8820/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.7742 (1.8035) Prec@1 57.031 (58.956) Prec@5 84.375 (80.802) Epoch: [42][8830/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.3853 (1.8034) Prec@1 65.625 (58.958) Prec@5 86.719 (80.803) Epoch: [42][8840/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9043 (1.8034) Prec@1 56.250 (58.958) Prec@5 80.469 (80.802) Epoch: [42][8850/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0435 (1.8034) Prec@1 51.562 (58.957) Prec@5 78.125 (80.803) Epoch: [42][8860/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7222 (1.8034) Prec@1 61.719 (58.957) Prec@5 82.031 (80.803) Epoch: [42][8870/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.0534 (1.8035) Prec@1 55.469 (58.956) Prec@5 72.656 (80.802) Epoch: [42][8880/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8371 (1.8034) Prec@1 56.250 (58.955) Prec@5 82.031 (80.803) Epoch: [42][8890/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.6212 (1.8035) Prec@1 62.500 (58.954) Prec@5 82.031 (80.801) Epoch: [42][8900/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8660 (1.8035) Prec@1 57.812 (58.956) Prec@5 82.031 (80.801) Epoch: [42][8910/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.3485 (1.8035) Prec@1 68.750 (58.956) Prec@5 85.156 (80.800) Epoch: [42][8920/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7073 (1.8036) Prec@1 58.594 (58.955) Prec@5 80.469 (80.797) Epoch: [42][8930/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0080 (1.8037) Prec@1 53.125 (58.953) Prec@5 77.344 (80.797) Epoch: [42][8940/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6668 (1.8036) Prec@1 60.938 (58.953) Prec@5 81.250 (80.798) Epoch: [42][8950/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.4192 (1.8035) Prec@1 63.281 (58.953) Prec@5 89.062 (80.800) Epoch: [42][8960/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.9531 (1.8035) Prec@1 54.688 (58.953) Prec@5 80.469 (80.802) Epoch: [42][8970/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.0834 (1.8037) Prec@1 51.562 (58.949) Prec@5 78.906 (80.799) Epoch: [42][8980/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.0078 (1.8038) Prec@1 55.469 (58.948) Prec@5 78.125 (80.798) Epoch: [42][8990/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6565 (1.8038) Prec@1 57.812 (58.947) Prec@5 80.469 (80.797) Epoch: [42][9000/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.9365 (1.8038) Prec@1 57.812 (58.948) Prec@5 82.812 (80.797) Epoch: [42][9010/10010] Time 0.311 (0.332) Data 0.001 (0.001) Loss 1.8919 (1.8038) Prec@1 53.906 (58.947) Prec@5 79.688 (80.798) Epoch: [42][9020/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9003 (1.8038) Prec@1 60.938 (58.946) Prec@5 81.250 (80.797) Epoch: [42][9030/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.9786 (1.8038) Prec@1 56.250 (58.946) Prec@5 78.906 (80.798) Epoch: [42][9040/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9598 (1.8039) Prec@1 61.719 (58.946) Prec@5 79.688 (80.796) Epoch: [42][9050/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0080 (1.8040) Prec@1 53.906 (58.946) Prec@5 76.562 (80.795) Epoch: [42][9060/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.1655 (1.8041) Prec@1 56.250 (58.946) Prec@5 74.219 (80.794) Epoch: [42][9070/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0925 (1.8042) Prec@1 58.594 (58.943) Prec@5 78.125 (80.792) Epoch: [42][9080/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.9855 (1.8043) Prec@1 52.344 (58.940) Prec@5 76.562 (80.790) Epoch: [42][9090/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9013 (1.8043) Prec@1 58.594 (58.941) Prec@5 80.469 (80.790) Epoch: [42][9100/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9310 (1.8044) Prec@1 55.469 (58.940) Prec@5 80.469 (80.789) Epoch: [42][9110/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6052 (1.8044) Prec@1 64.062 (58.940) Prec@5 83.594 (80.789) Epoch: [42][9120/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.5687 (1.8045) Prec@1 62.500 (58.939) Prec@5 84.375 (80.788) Epoch: [42][9130/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0704 (1.8045) Prec@1 54.688 (58.937) Prec@5 78.125 (80.788) Epoch: [42][9140/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7740 (1.8046) Prec@1 60.156 (58.936) Prec@5 81.250 (80.787) Epoch: [42][9150/10010] Time 0.307 (0.332) Data 0.000 (0.001) Loss 1.7990 (1.8046) Prec@1 58.594 (58.938) Prec@5 77.344 (80.788) Epoch: [42][9160/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.5402 (1.8046) Prec@1 67.969 (58.940) Prec@5 82.812 (80.787) Epoch: [42][9170/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9989 (1.8046) Prec@1 60.156 (58.939) Prec@5 82.031 (80.786) Epoch: [42][9180/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9959 (1.8046) Prec@1 48.438 (58.940) Prec@5 78.125 (80.786) Epoch: [42][9190/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7991 (1.8047) Prec@1 57.031 (58.940) Prec@5 77.344 (80.784) Epoch: [42][9200/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.4298 (1.8046) Prec@1 66.406 (58.941) Prec@5 85.938 (80.785) Epoch: [42][9210/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.9584 (1.8048) Prec@1 57.812 (58.940) Prec@5 73.438 (80.783) Epoch: [42][9220/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.1747 (1.8048) Prec@1 51.562 (58.939) Prec@5 77.344 (80.783) Epoch: [42][9230/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6207 (1.8047) Prec@1 60.938 (58.941) Prec@5 82.031 (80.784) Epoch: [42][9240/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9026 (1.8048) Prec@1 62.500 (58.940) Prec@5 75.781 (80.783) Epoch: [42][9250/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.3206 (1.8048) Prec@1 50.781 (58.940) Prec@5 71.875 (80.782) Epoch: [42][9260/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.0427 (1.8049) Prec@1 55.469 (58.939) Prec@5 75.781 (80.782) Epoch: [42][9270/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7181 (1.8049) Prec@1 56.250 (58.939) Prec@5 83.594 (80.781) Epoch: [42][9280/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8894 (1.8049) Prec@1 57.031 (58.938) Prec@5 77.344 (80.781) Epoch: [42][9290/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9279 (1.8049) Prec@1 54.688 (58.936) Prec@5 78.125 (80.779) Epoch: [42][9300/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8250 (1.8049) Prec@1 56.250 (58.937) Prec@5 82.031 (80.781) Epoch: [42][9310/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.6822 (1.8048) Prec@1 54.688 (58.939) Prec@5 80.469 (80.781) Epoch: [42][9320/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9337 (1.8050) Prec@1 60.156 (58.936) Prec@5 75.781 (80.780) Epoch: [42][9330/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6571 (1.8050) Prec@1 64.062 (58.937) Prec@5 86.719 (80.781) Epoch: [42][9340/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8173 (1.8050) Prec@1 61.719 (58.937) Prec@5 82.812 (80.780) Epoch: [42][9350/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8556 (1.8051) Prec@1 60.156 (58.935) Prec@5 83.594 (80.779) Epoch: [42][9360/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8405 (1.8050) Prec@1 60.156 (58.938) Prec@5 77.344 (80.781) Epoch: [42][9370/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8156 (1.8049) Prec@1 57.812 (58.939) Prec@5 78.906 (80.782) Epoch: [42][9380/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.3204 (1.8047) Prec@1 72.656 (58.943) Prec@5 85.938 (80.784) Epoch: [42][9390/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7891 (1.8047) Prec@1 60.938 (58.943) Prec@5 78.906 (80.784) Epoch: [42][9400/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9871 (1.8048) Prec@1 60.156 (58.941) Prec@5 76.562 (80.783) Epoch: [42][9410/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.4475 (1.8048) Prec@1 64.062 (58.939) Prec@5 85.156 (80.783) Epoch: [42][9420/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.1051 (1.8049) Prec@1 53.125 (58.936) Prec@5 77.344 (80.782) Epoch: [42][9430/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.5208 (1.8049) Prec@1 64.062 (58.938) Prec@5 83.594 (80.782) Epoch: [42][9440/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8294 (1.8048) Prec@1 59.375 (58.939) Prec@5 82.031 (80.783) Epoch: [42][9450/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9471 (1.8049) Prec@1 58.594 (58.938) Prec@5 77.344 (80.783) Epoch: [42][9460/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7840 (1.8050) Prec@1 62.500 (58.937) Prec@5 81.250 (80.780) Epoch: [42][9470/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8916 (1.8048) Prec@1 60.156 (58.940) Prec@5 78.906 (80.783) Epoch: [42][9480/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7534 (1.8049) Prec@1 57.031 (58.938) Prec@5 79.688 (80.781) Epoch: [42][9490/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0798 (1.8050) Prec@1 54.688 (58.935) Prec@5 80.469 (80.778) Epoch: [42][9500/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0809 (1.8051) Prec@1 49.219 (58.934) Prec@5 76.562 (80.777) Epoch: [42][9510/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8250 (1.8052) Prec@1 60.156 (58.931) Prec@5 78.125 (80.775) Epoch: [42][9520/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.6771 (1.8051) Prec@1 60.156 (58.933) Prec@5 85.938 (80.776) Epoch: [42][9530/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9677 (1.8053) Prec@1 54.688 (58.928) Prec@5 78.906 (80.773) Epoch: [42][9540/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6632 (1.8052) Prec@1 56.250 (58.929) Prec@5 86.719 (80.774) Epoch: [42][9550/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8961 (1.8053) Prec@1 57.812 (58.927) Prec@5 80.469 (80.773) Epoch: [42][9560/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7949 (1.8052) Prec@1 57.812 (58.930) Prec@5 80.469 (80.775) Epoch: [42][9570/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.5643 (1.8051) Prec@1 60.938 (58.931) Prec@5 82.812 (80.776) Epoch: [42][9580/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.8427 (1.8052) Prec@1 58.594 (58.928) Prec@5 82.031 (80.775) Epoch: [42][9590/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8367 (1.8052) Prec@1 57.812 (58.929) Prec@5 81.250 (80.775) Epoch: [42][9600/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.0173 (1.8052) Prec@1 61.719 (58.928) Prec@5 78.906 (80.775) Epoch: [42][9610/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7179 (1.8053) Prec@1 60.156 (58.927) Prec@5 82.031 (80.774) Epoch: [42][9620/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9764 (1.8053) Prec@1 52.344 (58.925) Prec@5 75.000 (80.773) Epoch: [42][9630/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8735 (1.8053) Prec@1 56.250 (58.926) Prec@5 80.469 (80.773) Epoch: [42][9640/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8422 (1.8053) Prec@1 50.000 (58.926) Prec@5 79.688 (80.772) Epoch: [42][9650/10010] Time 0.342 (0.332) Data 0.003 (0.001) Loss 1.8648 (1.8052) Prec@1 60.938 (58.928) Prec@5 79.688 (80.773) Epoch: [42][9660/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6944 (1.8052) Prec@1 60.156 (58.928) Prec@5 82.031 (80.772) Epoch: [42][9670/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.1039 (1.8052) Prec@1 52.344 (58.928) Prec@5 76.562 (80.772) Epoch: [42][9680/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9010 (1.8052) Prec@1 53.906 (58.926) Prec@5 80.469 (80.773) Epoch: [42][9690/10010] Time 0.326 (0.332) Data 0.002 (0.001) Loss 1.7876 (1.8052) Prec@1 55.469 (58.926) Prec@5 80.469 (80.775) Epoch: [42][9700/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0169 (1.8052) Prec@1 57.031 (58.926) Prec@5 75.000 (80.775) Epoch: [42][9710/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8530 (1.8051) Prec@1 61.719 (58.926) Prec@5 78.125 (80.776) Epoch: [42][9720/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.0112 (1.8051) Prec@1 54.688 (58.927) Prec@5 79.688 (80.776) Epoch: [42][9730/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9208 (1.8051) Prec@1 53.906 (58.927) Prec@5 80.469 (80.776) Epoch: [42][9740/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6113 (1.8051) Prec@1 60.156 (58.927) Prec@5 88.281 (80.778) Epoch: [42][9750/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8382 (1.8052) Prec@1 60.156 (58.926) Prec@5 79.688 (80.776) Epoch: [42][9760/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.5941 (1.8052) Prec@1 58.594 (58.926) Prec@5 84.375 (80.776) Epoch: [42][9770/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6004 (1.8052) Prec@1 63.281 (58.928) Prec@5 82.812 (80.776) Epoch: [42][9780/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0463 (1.8052) Prec@1 53.125 (58.929) Prec@5 74.219 (80.777) Epoch: [42][9790/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8319 (1.8052) Prec@1 60.938 (58.928) Prec@5 81.250 (80.778) Epoch: [42][9800/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.5636 (1.8052) Prec@1 61.719 (58.927) Prec@5 82.812 (80.778) Epoch: [42][9810/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.1096 (1.8052) Prec@1 56.250 (58.925) Prec@5 74.219 (80.776) Epoch: [42][9820/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.1030 (1.8052) Prec@1 56.250 (58.926) Prec@5 76.562 (80.777) Epoch: [42][9830/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9776 (1.8052) Prec@1 55.469 (58.927) Prec@5 78.125 (80.777) Epoch: [42][9840/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6210 (1.8052) Prec@1 66.406 (58.928) Prec@5 82.031 (80.776) Epoch: [42][9850/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8193 (1.8053) Prec@1 59.375 (58.927) Prec@5 79.688 (80.775) Epoch: [42][9860/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.5011 (1.8054) Prec@1 67.969 (58.926) Prec@5 82.031 (80.773) Epoch: [42][9870/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9102 (1.8054) Prec@1 60.156 (58.926) Prec@5 76.562 (80.773) Epoch: [42][9880/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7192 (1.8053) Prec@1 57.812 (58.928) Prec@5 82.812 (80.775) Epoch: [42][9890/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8768 (1.8053) Prec@1 53.906 (58.927) Prec@5 80.469 (80.775) Epoch: [42][9900/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1345 (1.8054) Prec@1 52.344 (58.926) Prec@5 79.688 (80.774) Epoch: [42][9910/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.6077 (1.8054) Prec@1 57.031 (58.925) Prec@5 84.375 (80.775) Epoch: [42][9920/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9651 (1.8054) Prec@1 57.812 (58.924) Prec@5 78.906 (80.774) Epoch: [42][9930/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9791 (1.8055) Prec@1 49.219 (58.922) Prec@5 78.906 (80.773) Epoch: [42][9940/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.1089 (1.8055) Prec@1 50.000 (58.921) Prec@5 75.000 (80.773) Epoch: [42][9950/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7995 (1.8056) Prec@1 59.375 (58.921) Prec@5 82.031 (80.773) Epoch: [42][9960/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.2190 (1.8056) Prec@1 58.594 (58.921) Prec@5 75.000 (80.772) Epoch: [42][9970/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8827 (1.8057) Prec@1 55.469 (58.920) Prec@5 79.688 (80.771) Epoch: [42][9980/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8378 (1.8057) Prec@1 59.375 (58.921) Prec@5 78.906 (80.772) Epoch: [42][9990/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.2653 (1.8057) Prec@1 52.344 (58.920) Prec@5 72.656 (80.771) Epoch: [42][10000/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8150 (1.8056) Prec@1 57.031 (58.921) Prec@5 78.906 (80.772) Test: [0/391] Time 1.532 (1.532) Loss 0.7619 (0.7619) Prec@1 84.375 (84.375) Prec@5 94.531 (94.531) Test: [10/391] Time 0.101 (0.237) Loss 1.5453 (0.8877) Prec@1 64.844 (78.480) Prec@5 89.062 (92.614) Test: [20/391] Time 0.127 (0.177) Loss 1.1281 (1.2064) Prec@1 73.438 (70.908) Prec@5 89.062 (88.542) Test: [30/391] Time 0.111 (0.157) Loss 1.9470 (1.3352) Prec@1 59.375 (67.364) Prec@5 82.031 (87.828) Test: [40/391] Time 0.176 (0.146) Loss 1.3251 (1.1995) Prec@1 71.094 (70.655) Prec@5 88.281 (89.120) Test: [50/391] Time 0.101 (0.138) Loss 0.7701 (1.2193) Prec@1 77.344 (70.558) Prec@5 95.312 (88.894) Test: [60/391] Time 0.108 (0.132) Loss 1.2240 (1.1551) Prec@1 70.312 (72.080) Prec@5 91.406 (89.613) Test: [70/391] Time 0.110 (0.129) Loss 1.3461 (1.1694) Prec@1 60.156 (71.006) Prec@5 91.406 (89.833) Test: [80/391] Time 0.112 (0.126) Loss 0.9446 (1.1817) Prec@1 69.531 (70.168) Prec@5 94.531 (89.988) Test: [90/391] Time 0.104 (0.124) Loss 1.2112 (1.1932) Prec@1 60.938 (69.720) Prec@5 93.750 (90.041) Test: [100/391] Time 0.104 (0.123) Loss 1.1419 (1.1807) Prec@1 70.312 (69.632) Prec@5 92.188 (90.323) Test: [110/391] Time 0.110 (0.121) Loss 1.5420 (1.1821) Prec@1 53.906 (69.482) Prec@5 89.844 (90.449) Test: [120/391] Time 0.110 (0.120) Loss 0.8299 (1.1756) Prec@1 78.125 (69.706) Prec@5 94.531 (90.554) Test: [130/391] Time 0.109 (0.119) Loss 0.8286 (1.1714) Prec@1 81.250 (69.990) Prec@5 92.188 (90.583) Test: [140/391] Time 0.105 (0.118) Loss 1.3706 (1.1722) Prec@1 60.938 (69.936) Prec@5 91.406 (90.642) Test: [150/391] Time 0.105 (0.118) Loss 1.2757 (1.1767) Prec@1 58.594 (69.919) Prec@5 89.062 (90.480) Test: [160/391] Time 0.107 (0.117) Loss 1.0306 (1.1795) Prec@1 71.875 (69.861) Prec@5 89.844 (90.489) Test: [170/391] Time 0.102 (0.116) Loss 1.7938 (1.2159) Prec@1 55.469 (69.166) Prec@5 87.500 (90.017) Test: [180/391] Time 0.117 (0.115) Loss 2.3989 (1.2521) Prec@1 42.188 (68.444) Prec@5 80.469 (89.550) Test: [190/391] Time 0.102 (0.115) Loss 2.1995 (1.2910) Prec@1 47.656 (67.764) Prec@5 82.031 (88.981) Test: [200/391] Time 0.104 (0.115) Loss 1.6917 (1.3269) Prec@1 50.781 (67.040) Prec@5 84.375 (88.468) Test: [210/391] Time 0.103 (0.114) Loss 1.8277 (1.3473) Prec@1 62.500 (66.728) Prec@5 79.688 (88.211) Test: [220/391] Time 0.107 (0.114) Loss 1.1058 (1.3592) Prec@1 72.656 (66.576) Prec@5 89.844 (87.921) Test: [230/391] Time 0.102 (0.113) Loss 2.3356 (1.3747) Prec@1 48.438 (66.291) Prec@5 75.000 (87.716) Test: [240/391] Time 0.100 (0.113) Loss 1.8344 (1.3851) Prec@1 60.938 (66.183) Prec@5 78.906 (87.532) Test: [250/391] Time 0.104 (0.113) Loss 1.2827 (1.4141) Prec@1 71.094 (65.547) Prec@5 87.500 (87.179) Test: [260/391] Time 0.102 (0.112) Loss 2.0004 (1.4364) Prec@1 57.031 (65.116) Prec@5 78.906 (86.907) Test: [270/391] Time 0.113 (0.112) Loss 1.9838 (1.4468) Prec@1 50.000 (64.962) Prec@5 82.812 (86.727) Test: [280/391] Time 0.109 (0.112) Loss 1.4901 (1.4556) Prec@1 60.156 (64.833) Prec@5 87.500 (86.649) Test: [290/391] Time 0.107 (0.112) Loss 1.9854 (1.4706) Prec@1 46.094 (64.559) Prec@5 81.250 (86.380) Test: [300/391] Time 0.110 (0.112) Loss 1.5488 (1.4870) Prec@1 74.219 (64.299) Prec@5 82.031 (86.156) Test: [310/391] Time 0.104 (0.112) Loss 1.7498 (1.4980) Prec@1 58.594 (64.125) Prec@5 81.250 (85.948) Test: [320/391] Time 0.108 (0.111) Loss 0.8566 (1.5034) Prec@1 83.594 (64.041) Prec@5 94.531 (85.886) Test: [330/391] Time 0.103 (0.111) Loss 1.9261 (1.5240) Prec@1 57.031 (63.598) Prec@5 78.125 (85.576) Test: [340/391] Time 0.122 (0.111) Loss 1.7297 (1.5336) Prec@1 52.344 (63.345) Prec@5 84.375 (85.447) Test: [350/391] Time 0.114 (0.111) Loss 1.5310 (1.5391) Prec@1 64.844 (63.241) Prec@5 87.500 (85.350) Test: [360/391] Time 0.103 (0.111) Loss 1.7998 (1.5501) Prec@1 50.000 (63.041) Prec@5 87.500 (85.254) Test: [370/391] Time 0.105 (0.111) Loss 1.4929 (1.5450) Prec@1 60.156 (63.151) Prec@5 89.062 (85.327) Test: [380/391] Time 0.109 (0.111) Loss 1.2635 (1.5467) Prec@1 66.406 (63.130) Prec@5 91.406 (85.304) Test: [390/391] Time 0.073 (0.111) Loss 2.1823 (1.5388) Prec@1 45.000 (63.292) Prec@5 80.000 (85.402) * Prec@1 63.292 Prec@5 85.402 Epoch: [43][0/10010] Time 3.002 (3.002) Data 2.818 (2.818) Loss 1.4264 (1.4264) Prec@1 67.969 (67.969) Prec@5 85.938 (85.938) Epoch: [43][10/10010] Time 0.322 (0.566) Data 0.001 (0.257) Loss 2.1047 (1.7543) Prec@1 51.562 (59.091) Prec@5 78.125 (81.605) Epoch: [43][20/10010] Time 0.324 (0.449) Data 0.001 (0.135) Loss 1.5353 (1.7561) Prec@1 64.844 (60.379) Prec@5 85.156 (81.808) Epoch: [43][30/10010] Time 0.321 (0.408) Data 0.000 (0.091) Loss 1.4370 (1.7641) Prec@1 66.406 (60.181) Prec@5 85.156 (81.502) Epoch: [43][40/10010] Time 0.322 (0.387) Data 0.001 (0.069) Loss 1.6040 (1.7516) Prec@1 59.375 (60.080) Prec@5 83.594 (81.879) Epoch: [43][50/10010] Time 0.324 (0.374) Data 0.000 (0.056) Loss 1.9161 (1.7707) Prec@1 53.125 (59.559) Prec@5 79.688 (81.495) Epoch: [43][60/10010] Time 0.325 (0.367) Data 0.000 (0.047) Loss 1.8773 (1.7871) Prec@1 57.031 (59.247) Prec@5 79.688 (81.340) Epoch: [43][70/10010] Time 0.335 (0.362) Data 0.000 (0.040) Loss 2.1967 (1.7952) Prec@1 57.031 (59.144) Prec@5 75.781 (81.250) Epoch: [43][80/10010] Time 0.320 (0.358) Data 0.000 (0.035) Loss 2.0549 (1.7997) Prec@1 57.812 (59.134) Prec@5 77.344 (81.279) Epoch: [43][90/10010] Time 0.323 (0.356) Data 0.001 (0.032) Loss 1.4911 (1.8057) Prec@1 67.188 (59.075) Prec@5 84.375 (81.113) Epoch: [43][100/10010] Time 0.322 (0.353) Data 0.001 (0.028) Loss 1.6890 (1.8072) Prec@1 57.812 (58.996) Prec@5 85.156 (81.080) Epoch: [43][110/10010] Time 0.325 (0.351) Data 0.003 (0.026) Loss 1.8862 (1.8085) Prec@1 60.156 (58.932) Prec@5 75.781 (80.990) Epoch: [43][120/10010] Time 0.338 (0.350) Data 0.000 (0.024) Loss 2.0498 (1.8050) Prec@1 53.906 (59.026) Prec@5 75.000 (81.063) Epoch: [43][130/10010] Time 0.319 (0.348) Data 0.000 (0.022) Loss 1.8064 (1.8073) Prec@1 60.156 (58.969) Prec@5 82.031 (80.982) Epoch: [43][140/10010] Time 0.336 (0.347) Data 0.001 (0.021) Loss 1.6975 (1.8030) Prec@1 62.500 (59.026) Prec@5 85.156 (81.084) Epoch: [43][150/10010] Time 0.325 (0.346) Data 0.000 (0.019) Loss 1.7928 (1.8009) Prec@1 57.031 (59.116) Prec@5 81.250 (81.110) Epoch: [43][160/10010] Time 0.331 (0.345) Data 0.000 (0.018) Loss 2.0235 (1.8034) Prec@1 54.688 (59.040) Prec@5 76.562 (81.027) Epoch: [43][170/10010] Time 0.318 (0.344) Data 0.001 (0.017) Loss 1.9770 (1.8008) Prec@1 57.031 (59.174) Prec@5 75.000 (81.063) Epoch: [43][180/10010] Time 0.330 (0.344) Data 0.001 (0.016) Loss 1.8259 (1.8041) Prec@1 60.156 (59.189) Prec@5 80.469 (81.000) Epoch: [43][190/10010] Time 0.330 (0.343) Data 0.001 (0.015) Loss 1.7725 (1.8048) Prec@1 57.812 (59.195) Prec@5 82.812 (80.984) Epoch: [43][200/10010] Time 0.326 (0.342) Data 0.001 (0.015) Loss 2.1608 (1.8035) Prec@1 55.469 (59.235) Prec@5 78.906 (81.063) Epoch: [43][210/10010] Time 0.339 (0.341) Data 0.000 (0.014) Loss 1.9275 (1.8056) Prec@1 60.156 (59.271) Prec@5 76.562 (80.976) Epoch: [43][220/10010] Time 0.333 (0.341) Data 0.000 (0.013) Loss 2.0002 (1.8061) Prec@1 47.656 (59.156) Prec@5 77.344 (80.988) Epoch: [43][230/10010] Time 0.324 (0.341) Data 0.001 (0.013) Loss 1.5677 (1.8051) Prec@1 62.500 (59.243) Prec@5 85.938 (80.979) Epoch: [43][240/10010] Time 0.341 (0.341) Data 0.000 (0.012) Loss 1.8838 (1.8047) Prec@1 57.812 (59.249) Prec@5 81.250 (80.945) Epoch: [43][250/10010] Time 0.337 (0.340) Data 0.001 (0.012) Loss 1.5606 (1.8071) Prec@1 65.625 (59.216) Prec@5 82.812 (80.920) Epoch: [43][260/10010] Time 0.326 (0.340) Data 0.001 (0.011) Loss 2.1285 (1.8080) Prec@1 53.906 (59.237) Prec@5 75.781 (80.903) Epoch: [43][270/10010] Time 0.321 (0.339) Data 0.000 (0.011) Loss 1.6144 (1.8085) Prec@1 63.281 (59.231) Prec@5 83.594 (80.910) Epoch: [43][280/10010] Time 0.322 (0.339) Data 0.001 (0.011) Loss 1.5984 (1.8059) Prec@1 71.094 (59.300) Prec@5 82.812 (80.941) Epoch: [43][290/10010] Time 0.322 (0.339) Data 0.001 (0.010) Loss 1.6390 (1.8033) Prec@1 61.719 (59.260) Prec@5 85.156 (81.027) Epoch: [43][300/10010] Time 0.346 (0.338) Data 0.000 (0.010) Loss 1.4798 (1.7962) Prec@1 68.750 (59.380) Prec@5 85.156 (81.123) Epoch: [43][310/10010] Time 0.342 (0.338) Data 0.000 (0.010) Loss 1.7598 (1.7980) Prec@1 58.594 (59.345) Prec@5 78.906 (81.102) /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][320/10010] Time 0.330 (0.338) Data 0.000 (0.009) Loss 1.6765 (1.7974) Prec@1 64.844 (59.414) Prec@5 84.375 (81.128) Epoch: [43][330/10010] Time 0.339 (0.338) Data 0.000 (0.009) Loss 2.0521 (1.7972) Prec@1 50.781 (59.415) Prec@5 73.438 (81.139) Epoch: [43][340/10010] Time 0.340 (0.338) Data 0.000 (0.009) Loss 1.6686 (1.7964) Prec@1 63.281 (59.441) Prec@5 83.594 (81.158) Epoch: [43][350/10010] Time 0.329 (0.337) Data 0.000 (0.009) Loss 1.6423 (1.7957) Prec@1 60.938 (59.433) Prec@5 80.469 (81.150) Epoch: [43][360/10010] Time 0.330 (0.337) Data 0.000 (0.008) Loss 1.7137 (1.7953) Prec@1 61.719 (59.429) Prec@5 82.031 (81.159) Epoch: [43][370/10010] Time 0.341 (0.337) Data 0.000 (0.008) Loss 1.8462 (1.7940) Prec@1 55.469 (59.428) Prec@5 82.812 (81.185) Epoch: [43][380/10010] Time 0.336 (0.337) Data 0.001 (0.008) Loss 2.1641 (1.7920) Prec@1 52.344 (59.455) Prec@5 75.000 (81.221) Epoch: [43][390/10010] Time 0.319 (0.337) Data 0.001 (0.008) Loss 2.0559 (1.7955) Prec@1 52.344 (59.369) Prec@5 79.688 (81.164) Epoch: [43][400/10010] Time 0.327 (0.337) Data 0.001 (0.008) Loss 1.8413 (1.7952) Prec@1 53.125 (59.354) Prec@5 78.906 (81.141) Epoch: [43][410/10010] Time 0.323 (0.336) Data 0.000 (0.007) Loss 1.9458 (1.7931) Prec@1 57.031 (59.404) Prec@5 78.906 (81.176) Epoch: [43][420/10010] Time 0.324 (0.336) Data 0.000 (0.007) Loss 2.2684 (1.7950) Prec@1 44.531 (59.369) Prec@5 74.219 (81.141) Epoch: [43][430/10010] Time 0.327 (0.336) Data 0.000 (0.007) Loss 1.6014 (1.7932) Prec@1 64.844 (59.391) Prec@5 85.156 (81.161) Epoch: [43][440/10010] Time 0.341 (0.336) Data 0.000 (0.007) Loss 1.6484 (1.7926) Prec@1 64.062 (59.423) Prec@5 82.812 (81.190) Epoch: [43][450/10010] Time 0.332 (0.336) Data 0.001 (0.007) Loss 1.6565 (1.7902) Prec@1 64.062 (59.507) Prec@5 80.469 (81.210) Epoch: [43][460/10010] Time 0.324 (0.336) Data 0.000 (0.007) Loss 1.9326 (1.7906) Prec@1 55.469 (59.467) Prec@5 79.688 (81.206) Epoch: [43][470/10010] Time 0.320 (0.336) Data 0.001 (0.007) Loss 2.2384 (1.7914) Prec@1 53.125 (59.458) Prec@5 74.219 (81.179) Epoch: [43][480/10010] Time 0.331 (0.336) Data 0.000 (0.006) Loss 1.6170 (1.7902) Prec@1 63.281 (59.432) Prec@5 82.031 (81.180) Epoch: [43][490/10010] Time 0.339 (0.336) Data 0.000 (0.006) Loss 2.0512 (1.7912) Prec@1 54.688 (59.413) Prec@5 76.562 (81.175) Epoch: [43][500/10010] Time 0.327 (0.336) Data 0.001 (0.006) Loss 1.7456 (1.7901) Prec@1 57.031 (59.442) Prec@5 83.594 (81.189) Epoch: [43][510/10010] Time 0.326 (0.335) Data 0.001 (0.006) Loss 1.8163 (1.7893) Prec@1 60.938 (59.444) Prec@5 79.688 (81.193) Epoch: [43][520/10010] Time 0.333 (0.335) Data 0.000 (0.006) Loss 1.5879 (1.7907) Prec@1 64.844 (59.417) Prec@5 84.375 (81.150) Epoch: [43][530/10010] Time 0.334 (0.335) Data 0.000 (0.006) Loss 1.6634 (1.7901) Prec@1 58.594 (59.421) Prec@5 82.812 (81.138) Epoch: [43][540/10010] Time 0.329 (0.335) Data 0.000 (0.006) Loss 1.7991 (1.7901) Prec@1 52.344 (59.408) Prec@5 82.031 (81.140) Epoch: [43][550/10010] Time 0.327 (0.335) Data 0.000 (0.006) Loss 1.9632 (1.7911) Prec@1 53.125 (59.378) Prec@5 82.812 (81.138) Epoch: [43][560/10010] Time 0.321 (0.335) Data 0.001 (0.006) Loss 1.9065 (1.7905) Prec@1 58.594 (59.365) Prec@5 79.688 (81.144) Epoch: [43][570/10010] Time 0.336 (0.335) Data 0.000 (0.006) Loss 1.6650 (1.7893) Prec@1 60.938 (59.386) Prec@5 82.031 (81.156) Epoch: [43][580/10010] Time 0.321 (0.335) Data 0.001 (0.005) Loss 1.5788 (1.7896) Prec@1 60.156 (59.362) Prec@5 87.500 (81.149) Epoch: [43][590/10010] Time 0.321 (0.335) Data 0.000 (0.005) Loss 2.0133 (1.7877) Prec@1 57.812 (59.396) Prec@5 75.781 (81.167) Epoch: [43][600/10010] Time 0.326 (0.334) Data 0.000 (0.005) Loss 1.9671 (1.7872) Prec@1 55.469 (59.385) Prec@5 78.125 (81.166) Epoch: [43][610/10010] Time 0.338 (0.334) Data 0.000 (0.005) Loss 2.0069 (1.7873) Prec@1 56.250 (59.380) Prec@5 75.000 (81.167) Epoch: [43][620/10010] Time 0.337 (0.334) Data 0.000 (0.005) Loss 1.7903 (1.7869) Prec@1 61.719 (59.406) Prec@5 81.250 (81.161) Epoch: [43][630/10010] Time 0.337 (0.334) Data 0.001 (0.005) Loss 2.1800 (1.7881) Prec@1 47.656 (59.365) Prec@5 70.312 (81.145) Epoch: [43][640/10010] Time 0.331 (0.334) Data 0.001 (0.005) Loss 1.9705 (1.7895) Prec@1 57.812 (59.355) Prec@5 81.250 (81.133) Epoch: [43][650/10010] Time 0.341 (0.334) Data 0.000 (0.005) Loss 1.7530 (1.7873) Prec@1 59.375 (59.385) Prec@5 80.469 (81.158) Epoch: [43][660/10010] Time 0.344 (0.334) Data 0.000 (0.005) Loss 1.7464 (1.7870) Prec@1 60.938 (59.382) Prec@5 84.375 (81.167) Epoch: [43][670/10010] Time 0.321 (0.334) Data 0.000 (0.005) Loss 2.0098 (1.7865) Prec@1 50.000 (59.380) Prec@5 78.906 (81.179) Epoch: [43][680/10010] Time 0.342 (0.334) Data 0.001 (0.005) Loss 1.7437 (1.7859) Prec@1 57.812 (59.404) Prec@5 83.594 (81.194) Epoch: [43][690/10010] Time 0.341 (0.334) Data 0.000 (0.005) Loss 1.7854 (1.7855) Prec@1 59.375 (59.418) Prec@5 78.906 (81.190) Epoch: [43][700/10010] Time 0.323 (0.334) Data 0.001 (0.005) Loss 1.9820 (1.7860) Prec@1 53.906 (59.413) Prec@5 78.125 (81.181) Epoch: [43][710/10010] Time 0.324 (0.334) Data 0.001 (0.005) Loss 1.8375 (1.7847) Prec@1 60.156 (59.441) Prec@5 82.812 (81.197) Epoch: [43][720/10010] Time 0.333 (0.334) Data 0.000 (0.004) Loss 2.0009 (1.7851) Prec@1 53.906 (59.432) Prec@5 78.125 (81.178) Epoch: [43][730/10010] Time 0.335 (0.334) Data 0.000 (0.004) Loss 1.9364 (1.7840) Prec@1 55.469 (59.453) Prec@5 77.344 (81.190) Epoch: [43][740/10010] Time 0.323 (0.334) Data 0.000 (0.004) Loss 1.5992 (1.7831) Prec@1 60.938 (59.467) Prec@5 83.594 (81.197) Epoch: [43][750/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 1.8824 (1.7835) Prec@1 55.469 (59.466) Prec@5 83.594 (81.201) Epoch: [43][760/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 1.7237 (1.7829) Prec@1 59.375 (59.476) Prec@5 82.812 (81.197) Epoch: [43][770/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 1.7112 (1.7820) Prec@1 59.375 (59.490) Prec@5 82.812 (81.209) Epoch: [43][780/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 1.9597 (1.7807) Prec@1 51.562 (59.510) Prec@5 81.250 (81.223) Epoch: [43][790/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 1.8033 (1.7805) Prec@1 56.250 (59.509) Prec@5 77.344 (81.216) Epoch: [43][800/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 1.4934 (1.7793) Prec@1 62.500 (59.518) Prec@5 89.062 (81.241) Epoch: [43][810/10010] Time 0.332 (0.334) Data 0.001 (0.004) Loss 1.8697 (1.7800) Prec@1 60.156 (59.504) Prec@5 80.469 (81.234) Epoch: [43][820/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 1.7563 (1.7801) Prec@1 59.375 (59.494) Prec@5 82.031 (81.237) Epoch: [43][830/10010] Time 0.327 (0.333) Data 0.000 (0.004) Loss 1.8809 (1.7796) Prec@1 57.031 (59.508) Prec@5 82.812 (81.243) Epoch: [43][840/10010] Time 0.325 (0.333) Data 0.001 (0.004) Loss 1.4456 (1.7792) Prec@1 63.281 (59.525) Prec@5 89.062 (81.257) Epoch: [43][850/10010] Time 0.346 (0.333) Data 0.000 (0.004) Loss 1.9433 (1.7788) Prec@1 57.031 (59.536) Prec@5 77.344 (81.253) Epoch: [43][860/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 1.6719 (1.7787) Prec@1 59.375 (59.533) Prec@5 85.156 (81.265) Epoch: [43][870/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 1.6551 (1.7791) Prec@1 57.812 (59.501) Prec@5 82.812 (81.261) Epoch: [43][880/10010] Time 0.334 (0.333) Data 0.001 (0.004) Loss 1.7007 (1.7786) Prec@1 62.500 (59.511) Prec@5 83.594 (81.257) Epoch: [43][890/10010] Time 0.331 (0.333) Data 0.001 (0.004) Loss 1.6049 (1.7787) Prec@1 62.500 (59.498) Prec@5 87.500 (81.262) Epoch: [43][900/10010] Time 0.324 (0.333) Data 0.000 (0.004) Loss 1.7122 (1.7780) Prec@1 55.469 (59.522) Prec@5 82.031 (81.276) Epoch: [43][910/10010] Time 0.337 (0.333) Data 0.001 (0.004) Loss 2.1087 (1.7775) Prec@1 53.125 (59.530) Prec@5 75.781 (81.272) Epoch: [43][920/10010] Time 0.330 (0.333) Data 0.000 (0.004) Loss 1.7447 (1.7780) Prec@1 60.938 (59.524) Prec@5 80.469 (81.277) Epoch: [43][930/10010] Time 0.328 (0.333) Data 0.000 (0.004) Loss 1.5004 (1.7777) Prec@1 68.750 (59.533) Prec@5 81.250 (81.276) Epoch: [43][940/10010] Time 0.318 (0.333) Data 0.000 (0.004) Loss 1.8382 (1.7795) Prec@1 60.156 (59.490) Prec@5 79.688 (81.244) Epoch: [43][950/10010] Time 0.321 (0.333) Data 0.001 (0.004) Loss 1.6675 (1.7793) Prec@1 55.469 (59.492) Prec@5 84.375 (81.259) Epoch: [43][960/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 1.6763 (1.7792) Prec@1 59.375 (59.487) Prec@5 82.031 (81.257) Epoch: [43][970/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 1.6816 (1.7791) Prec@1 60.938 (59.495) Prec@5 82.812 (81.264) Epoch: [43][980/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.7679 (1.7786) Prec@1 55.469 (59.506) Prec@5 79.688 (81.269) Epoch: [43][990/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.5522 (1.7786) Prec@1 65.625 (59.510) Prec@5 85.156 (81.267) Epoch: [43][1000/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.3858 (1.7779) Prec@1 65.625 (59.496) Prec@5 89.844 (81.273) Epoch: [43][1010/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 1.9462 (1.7779) Prec@1 56.250 (59.503) Prec@5 78.906 (81.272) Epoch: [43][1020/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 1.8015 (1.7777) Prec@1 60.156 (59.495) Prec@5 78.125 (81.267) Epoch: [43][1030/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.7507 (1.7779) Prec@1 62.500 (59.504) Prec@5 83.594 (81.261) Epoch: [43][1040/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 1.8819 (1.7789) Prec@1 58.594 (59.466) Prec@5 80.469 (81.242) Epoch: [43][1050/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 1.8645 (1.7793) Prec@1 55.469 (59.459) Prec@5 82.031 (81.234) Epoch: [43][1060/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 1.8894 (1.7790) Prec@1 58.594 (59.464) Prec@5 79.688 (81.237) Epoch: [43][1070/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.6539 (1.7783) Prec@1 61.719 (59.477) Prec@5 82.812 (81.252) Epoch: [43][1080/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.5507 (1.7771) Prec@1 64.062 (59.503) Prec@5 83.594 (81.260) Epoch: [43][1090/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.0253 (1.7773) Prec@1 56.250 (59.508) Prec@5 77.344 (81.250) Epoch: [43][1100/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 1.5780 (1.7765) Prec@1 64.062 (59.533) Prec@5 85.938 (81.261) Epoch: [43][1110/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 1.8301 (1.7772) Prec@1 56.250 (59.509) Prec@5 78.906 (81.240) Epoch: [43][1120/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.7674 (1.7772) Prec@1 60.156 (59.513) Prec@5 78.906 (81.229) Epoch: [43][1130/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 1.9364 (1.7774) Prec@1 57.812 (59.506) Prec@5 78.125 (81.220) Epoch: [43][1140/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 1.7427 (1.7769) Prec@1 57.031 (59.505) Prec@5 85.938 (81.231) Epoch: [43][1150/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 1.9501 (1.7768) Prec@1 57.031 (59.504) Prec@5 80.469 (81.243) Epoch: [43][1160/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 1.5632 (1.7772) Prec@1 64.844 (59.510) Prec@5 84.375 (81.243) Epoch: [43][1170/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 1.6065 (1.7769) Prec@1 61.719 (59.528) Prec@5 84.375 (81.244) Epoch: [43][1180/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 1.7591 (1.7764) Prec@1 61.719 (59.530) Prec@5 79.688 (81.239) Epoch: [43][1190/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 1.7862 (1.7756) Prec@1 61.719 (59.540) Prec@5 79.688 (81.241) Epoch: [43][1200/10010] Time 0.348 (0.333) Data 0.000 (0.003) Loss 1.8804 (1.7754) Prec@1 58.594 (59.543) Prec@5 79.688 (81.249) Epoch: [43][1210/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.6855 (1.7753) Prec@1 60.938 (59.546) Prec@5 82.031 (81.250) Epoch: [43][1220/10010] Time 0.348 (0.333) Data 0.000 (0.003) Loss 1.9081 (1.7755) Prec@1 64.062 (59.538) Prec@5 76.562 (81.253) Epoch: [43][1230/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.9403 (1.7758) Prec@1 55.469 (59.532) Prec@5 78.906 (81.243) /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][1240/10010] Time 0.319 (0.333) Data 0.001 (0.003) Loss 1.8471 (1.7759) Prec@1 58.594 (59.521) Prec@5 77.344 (81.245) Epoch: [43][1250/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.9184 (1.7763) Prec@1 57.031 (59.519) Prec@5 74.219 (81.233) Epoch: [43][1260/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.6249 (1.7765) Prec@1 63.281 (59.516) Prec@5 85.938 (81.240) Epoch: [43][1270/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 1.7975 (1.7769) Prec@1 59.375 (59.523) Prec@5 83.594 (81.234) Epoch: [43][1280/10010] Time 0.321 (0.333) Data 0.000 (0.003) Loss 2.0009 (1.7767) Prec@1 50.781 (59.520) Prec@5 78.906 (81.235) Epoch: [43][1290/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.5561 (1.7765) Prec@1 59.375 (59.511) Prec@5 84.375 (81.230) Epoch: [43][1300/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 1.8435 (1.7761) Prec@1 58.594 (59.511) Prec@5 77.344 (81.233) Epoch: [43][1310/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 1.9035 (1.7760) Prec@1 53.125 (59.517) Prec@5 78.906 (81.230) Epoch: [43][1320/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.9341 (1.7759) Prec@1 57.812 (59.517) Prec@5 79.688 (81.231) Epoch: [43][1330/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 2.2230 (1.7763) Prec@1 52.344 (59.508) Prec@5 71.875 (81.221) Epoch: [43][1340/10010] Time 0.336 (0.332) Data 0.000 (0.003) Loss 1.7234 (1.7765) Prec@1 57.812 (59.505) Prec@5 83.594 (81.216) Epoch: [43][1350/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 1.8153 (1.7758) Prec@1 58.594 (59.520) Prec@5 80.469 (81.223) Epoch: [43][1360/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 1.7756 (1.7759) Prec@1 58.594 (59.523) Prec@5 80.469 (81.217) Epoch: [43][1370/10010] Time 0.335 (0.332) Data 0.001 (0.003) Loss 1.7385 (1.7760) Prec@1 55.469 (59.520) Prec@5 84.375 (81.221) Epoch: [43][1380/10010] Time 0.325 (0.332) Data 0.001 (0.003) Loss 1.7967 (1.7762) Prec@1 57.031 (59.514) Prec@5 79.688 (81.223) Epoch: [43][1390/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 1.3715 (1.7757) Prec@1 64.844 (59.521) Prec@5 89.062 (81.235) Epoch: [43][1400/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 1.8144 (1.7759) Prec@1 53.906 (59.522) Prec@5 80.469 (81.232) Epoch: [43][1410/10010] Time 0.329 (0.332) Data 0.000 (0.003) Loss 1.7467 (1.7758) Prec@1 58.594 (59.535) Prec@5 81.250 (81.237) Epoch: [43][1420/10010] Time 0.321 (0.332) Data 0.001 (0.003) Loss 2.1300 (1.7759) Prec@1 57.031 (59.528) Prec@5 73.438 (81.231) Epoch: [43][1430/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 1.8103 (1.7763) Prec@1 58.594 (59.517) Prec@5 84.375 (81.226) Epoch: [43][1440/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 1.7470 (1.7769) Prec@1 64.062 (59.515) Prec@5 79.688 (81.214) Epoch: [43][1450/10010] Time 0.338 (0.332) Data 0.000 (0.003) Loss 1.7939 (1.7769) Prec@1 64.844 (59.522) Prec@5 76.562 (81.212) Epoch: [43][1460/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.9925 (1.7768) Prec@1 56.250 (59.522) Prec@5 78.125 (81.216) Epoch: [43][1470/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.4981 (1.7765) Prec@1 67.188 (59.525) Prec@5 85.156 (81.222) Epoch: [43][1480/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8797 (1.7761) Prec@1 53.906 (59.536) Prec@5 78.125 (81.227) Epoch: [43][1490/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.6865 (1.7768) Prec@1 62.500 (59.528) Prec@5 84.375 (81.215) Epoch: [43][1500/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.9079 (1.7772) Prec@1 54.688 (59.522) Prec@5 76.562 (81.205) Epoch: [43][1510/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.9516 (1.7778) Prec@1 57.812 (59.511) Prec@5 79.688 (81.193) Epoch: [43][1520/10010] Time 0.311 (0.332) Data 0.000 (0.002) Loss 1.6649 (1.7780) Prec@1 65.625 (59.506) Prec@5 82.031 (81.189) Epoch: [43][1530/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.9885 (1.7785) Prec@1 54.688 (59.496) Prec@5 83.594 (81.178) Epoch: [43][1540/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.6200 (1.7781) Prec@1 59.375 (59.504) Prec@5 85.156 (81.183) Epoch: [43][1550/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.9338 (1.7784) Prec@1 57.812 (59.496) Prec@5 79.688 (81.176) Epoch: [43][1560/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.9871 (1.7782) Prec@1 56.250 (59.503) Prec@5 79.688 (81.181) Epoch: [43][1570/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.9006 (1.7783) Prec@1 55.469 (59.502) Prec@5 83.594 (81.191) Epoch: [43][1580/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.7091 (1.7787) Prec@1 61.719 (59.490) Prec@5 78.125 (81.181) Epoch: [43][1590/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.5897 (1.7787) Prec@1 63.281 (59.490) Prec@5 84.375 (81.177) Epoch: [43][1600/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.6940 (1.7783) Prec@1 60.938 (59.497) Prec@5 83.594 (81.189) Epoch: [43][1610/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8844 (1.7783) Prec@1 57.031 (59.494) Prec@5 78.125 (81.182) Epoch: [43][1620/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.8496 (1.7784) Prec@1 60.938 (59.498) Prec@5 79.688 (81.174) Epoch: [43][1630/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.8671 (1.7785) Prec@1 55.469 (59.500) Prec@5 83.594 (81.178) Epoch: [43][1640/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8333 (1.7789) Prec@1 57.812 (59.484) Prec@5 82.031 (81.175) Epoch: [43][1650/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.8602 (1.7792) Prec@1 57.031 (59.472) Prec@5 81.250 (81.168) Epoch: [43][1660/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7705 (1.7790) Prec@1 58.594 (59.479) Prec@5 80.469 (81.178) Epoch: [43][1670/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.9353 (1.7793) Prec@1 52.344 (59.466) Prec@5 78.125 (81.170) Epoch: [43][1680/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.4186 (1.7801) Prec@1 49.219 (59.460) Prec@5 73.438 (81.167) Epoch: [43][1690/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.6140 (1.7802) Prec@1 64.062 (59.454) Prec@5 85.156 (81.174) Epoch: [43][1700/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.7978 (1.7803) Prec@1 54.688 (59.445) Prec@5 82.812 (81.174) Epoch: [43][1710/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 1.8516 (1.7808) Prec@1 60.156 (59.433) Prec@5 78.906 (81.165) Epoch: [43][1720/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.1457 (1.7812) Prec@1 56.250 (59.424) Prec@5 71.094 (81.153) Epoch: [43][1730/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.9207 (1.7816) Prec@1 53.906 (59.414) Prec@5 78.906 (81.148) Epoch: [43][1740/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.5573 (1.7821) Prec@1 62.500 (59.409) Prec@5 82.812 (81.141) Epoch: [43][1750/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.6028 (1.7812) Prec@1 61.719 (59.429) Prec@5 82.812 (81.151) Epoch: [43][1760/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.2777 (1.7815) Prec@1 49.219 (59.421) Prec@5 77.344 (81.150) Epoch: [43][1770/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.9704 (1.7817) Prec@1 53.125 (59.417) Prec@5 77.344 (81.147) Epoch: [43][1780/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.7871 (1.7815) Prec@1 60.156 (59.426) Prec@5 82.031 (81.147) Epoch: [43][1790/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7414 (1.7815) Prec@1 59.375 (59.427) Prec@5 85.156 (81.157) Epoch: [43][1800/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.8084 (1.7820) Prec@1 62.500 (59.418) Prec@5 79.688 (81.146) Epoch: [43][1810/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5630 (1.7821) Prec@1 60.938 (59.410) Prec@5 83.594 (81.151) Epoch: [43][1820/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.9794 (1.7824) Prec@1 53.125 (59.405) Prec@5 77.344 (81.147) Epoch: [43][1830/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.6119 (1.7822) Prec@1 64.844 (59.416) Prec@5 82.031 (81.151) Epoch: [43][1840/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.8860 (1.7823) Prec@1 54.688 (59.415) Prec@5 79.688 (81.157) Epoch: [43][1850/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.7682 (1.7820) Prec@1 57.031 (59.421) Prec@5 79.688 (81.159) Epoch: [43][1860/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.6528 (1.7824) Prec@1 64.062 (59.419) Prec@5 83.594 (81.153) Epoch: [43][1870/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.5077 (1.7828) Prec@1 64.062 (59.413) Prec@5 87.500 (81.146) Epoch: [43][1880/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.6531 (1.7829) Prec@1 62.500 (59.414) Prec@5 80.469 (81.143) Epoch: [43][1890/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.5116 (1.7829) Prec@1 67.188 (59.413) Prec@5 87.500 (81.144) Epoch: [43][1900/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 2.1165 (1.7836) Prec@1 52.344 (59.398) Prec@5 74.219 (81.136) Epoch: [43][1910/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.9733 (1.7836) Prec@1 58.594 (59.404) Prec@5 78.125 (81.134) Epoch: [43][1920/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 2.2664 (1.7840) Prec@1 53.906 (59.404) Prec@5 75.781 (81.124) Epoch: [43][1930/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.0113 (1.7842) Prec@1 50.000 (59.397) Prec@5 78.125 (81.119) Epoch: [43][1940/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.6927 (1.7838) Prec@1 60.156 (59.400) Prec@5 79.688 (81.126) Epoch: [43][1950/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.8333 (1.7833) Prec@1 60.938 (59.416) Prec@5 82.812 (81.133) Epoch: [43][1960/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.8251 (1.7834) Prec@1 53.906 (59.414) Prec@5 82.031 (81.133) Epoch: [43][1970/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.3000 (1.7833) Prec@1 53.125 (59.420) Prec@5 73.438 (81.133) Epoch: [43][1980/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.7448 (1.7831) Prec@1 66.406 (59.426) Prec@5 81.250 (81.135) Epoch: [43][1990/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8590 (1.7832) Prec@1 51.562 (59.427) Prec@5 83.594 (81.137) Epoch: [43][2000/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8485 (1.7834) Prec@1 57.031 (59.423) Prec@5 80.469 (81.135) Epoch: [43][2010/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.8117 (1.7835) Prec@1 53.906 (59.418) Prec@5 85.156 (81.133) Epoch: [43][2020/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.5627 (1.7830) Prec@1 63.281 (59.429) Prec@5 85.156 (81.145) Epoch: [43][2030/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.9124 (1.7834) Prec@1 57.031 (59.419) Prec@5 78.125 (81.138) Epoch: [43][2040/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.5738 (1.7836) Prec@1 69.531 (59.418) Prec@5 85.156 (81.140) Epoch: [43][2050/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.8238 (1.7837) Prec@1 54.688 (59.419) Prec@5 82.031 (81.143) Epoch: [43][2060/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8158 (1.7838) Prec@1 55.469 (59.417) Prec@5 80.469 (81.148) Epoch: [43][2070/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.6484 (1.7834) Prec@1 64.844 (59.423) Prec@5 84.375 (81.148) Epoch: [43][2080/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.9720 (1.7834) Prec@1 57.031 (59.426) Prec@5 80.469 (81.149) Epoch: [43][2090/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.4977 (1.7834) Prec@1 63.281 (59.414) Prec@5 88.281 (81.148) Epoch: [43][2100/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.6841 (1.7828) Prec@1 60.938 (59.426) Prec@5 82.031 (81.160) Epoch: [43][2110/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 1.6474 (1.7826) Prec@1 60.938 (59.433) Prec@5 82.031 (81.164) Epoch: [43][2120/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.5613 (1.7827) Prec@1 66.406 (59.439) Prec@5 88.281 (81.166) Epoch: [43][2130/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.9222 (1.7827) Prec@1 57.812 (59.438) Prec@5 78.125 (81.166) Epoch: [43][2140/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.4164 (1.7823) Prec@1 68.750 (59.437) Prec@5 86.719 (81.172) Epoch: [43][2150/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.6832 (1.7825) Prec@1 62.500 (59.437) Prec@5 83.594 (81.171) Epoch: [43][2160/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.8189 (1.7822) Prec@1 57.812 (59.447) Prec@5 79.688 (81.180) Epoch: [43][2170/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.6988 (1.7824) Prec@1 56.250 (59.445) Prec@5 82.031 (81.178) Epoch: [43][2180/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.8541 (1.7825) Prec@1 57.812 (59.436) Prec@5 84.375 (81.180) Epoch: [43][2190/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.6710 (1.7826) Prec@1 61.719 (59.431) Prec@5 82.812 (81.179) Epoch: [43][2200/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.8396 (1.7827) Prec@1 60.156 (59.435) Prec@5 79.688 (81.177) Epoch: [43][2210/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.8580 (1.7829) Prec@1 59.375 (59.435) Prec@5 78.906 (81.173) Epoch: [43][2220/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 1.6542 (1.7830) Prec@1 60.156 (59.434) Prec@5 85.938 (81.174) Epoch: [43][2230/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.5282 (1.7829) Prec@1 63.281 (59.434) Prec@5 82.812 (81.176) Epoch: [43][2240/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.4746 (1.7826) Prec@1 64.844 (59.441) Prec@5 82.031 (81.176) Epoch: [43][2250/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.6527 (1.7823) Prec@1 60.156 (59.442) Prec@5 85.156 (81.181) Epoch: [43][2260/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 2.3360 (1.7825) Prec@1 53.125 (59.445) Prec@5 73.438 (81.182) Epoch: [43][2270/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.5368 (1.7823) Prec@1 64.844 (59.451) Prec@5 84.375 (81.184) Epoch: [43][2280/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.7414 (1.7822) Prec@1 55.469 (59.451) Prec@5 81.250 (81.182) Epoch: [43][2290/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.7209 (1.7822) Prec@1 60.156 (59.450) Prec@5 81.250 (81.180) Epoch: [43][2300/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.8844 (1.7823) Prec@1 54.688 (59.444) Prec@5 78.125 (81.178) Epoch: [43][2310/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 1.8434 (1.7821) Prec@1 53.906 (59.443) Prec@5 82.031 (81.185) Epoch: [43][2320/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.6592 (1.7825) Prec@1 61.719 (59.438) Prec@5 83.594 (81.179) Epoch: [43][2330/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.9955 (1.7826) Prec@1 59.375 (59.438) Prec@5 79.688 (81.176) Epoch: [43][2340/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.4209 (1.7825) Prec@1 65.625 (59.438) Prec@5 88.281 (81.178) Epoch: [43][2350/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8697 (1.7824) Prec@1 53.125 (59.436) Prec@5 82.031 (81.179) Epoch: [43][2360/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.5817 (1.7826) Prec@1 62.500 (59.435) Prec@5 81.250 (81.173) Epoch: [43][2370/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.3880 (1.7824) Prec@1 68.750 (59.441) Prec@5 86.719 (81.175) Epoch: [43][2380/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.6860 (1.7821) Prec@1 64.062 (59.446) Prec@5 81.250 (81.176) Epoch: [43][2390/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.6819 (1.7821) Prec@1 57.812 (59.446) Prec@5 83.594 (81.174) Epoch: [43][2400/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.6491 (1.7820) Prec@1 64.844 (59.449) Prec@5 81.250 (81.172) Epoch: [43][2410/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.5187 (1.7818) Prec@1 64.062 (59.450) Prec@5 83.594 (81.172) Epoch: [43][2420/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.6823 (1.7816) Prec@1 60.156 (59.460) Prec@5 83.594 (81.172) Epoch: [43][2430/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6804 (1.7816) Prec@1 64.844 (59.464) Prec@5 78.906 (81.178) Epoch: [43][2440/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.8105 (1.7821) Prec@1 55.469 (59.448) Prec@5 83.594 (81.173) Epoch: [43][2450/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.5667 (1.7819) Prec@1 62.500 (59.453) Prec@5 86.719 (81.175) Epoch: [43][2460/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.5560 (1.7822) Prec@1 66.406 (59.453) Prec@5 85.156 (81.174) Epoch: [43][2470/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.5475 (1.7825) Prec@1 67.969 (59.448) Prec@5 84.375 (81.173) Epoch: [43][2480/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.9524 (1.7828) Prec@1 52.344 (59.431) Prec@5 77.344 (81.168) Epoch: [43][2490/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 2.1743 (1.7828) Prec@1 53.906 (59.428) Prec@5 75.000 (81.171) Epoch: [43][2500/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.6854 (1.7827) Prec@1 60.156 (59.429) Prec@5 82.812 (81.171) Epoch: [43][2510/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.8904 (1.7830) Prec@1 64.062 (59.423) Prec@5 78.906 (81.168) Epoch: [43][2520/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.5664 (1.7828) Prec@1 63.281 (59.427) Prec@5 83.594 (81.170) Epoch: [43][2530/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.9378 (1.7831) Prec@1 53.125 (59.427) Prec@5 77.344 (81.164) Epoch: [43][2540/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.6906 (1.7830) Prec@1 60.156 (59.422) Prec@5 81.250 (81.161) Epoch: [43][2550/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.6989 (1.7834) Prec@1 59.375 (59.417) Prec@5 81.250 (81.156) Epoch: [43][2560/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.4067 (1.7834) Prec@1 67.969 (59.417) Prec@5 88.281 (81.156) Epoch: [43][2570/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.9590 (1.7833) Prec@1 59.375 (59.419) Prec@5 76.562 (81.154) Epoch: [43][2580/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.9174 (1.7832) Prec@1 56.250 (59.426) Prec@5 77.344 (81.156) Epoch: [43][2590/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.5445 (1.7831) Prec@1 64.844 (59.424) Prec@5 82.812 (81.155) Epoch: [43][2600/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.8860 (1.7830) Prec@1 52.344 (59.428) Prec@5 78.906 (81.155) Epoch: [43][2610/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8120 (1.7834) Prec@1 59.375 (59.425) Prec@5 76.562 (81.147) Epoch: [43][2620/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.9173 (1.7838) Prec@1 61.719 (59.419) Prec@5 78.125 (81.142) Epoch: [43][2630/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7969 (1.7840) Prec@1 57.812 (59.415) Prec@5 82.031 (81.139) Epoch: [43][2640/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.8091 (1.7841) Prec@1 60.938 (59.411) Prec@5 80.469 (81.137) Epoch: [43][2650/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.6962 (1.7845) Prec@1 61.719 (59.405) Prec@5 78.906 (81.129) Epoch: [43][2660/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.6504 (1.7846) Prec@1 60.938 (59.394) Prec@5 82.031 (81.128) Epoch: [43][2670/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.2034 (1.7847) Prec@1 54.688 (59.393) Prec@5 76.562 (81.129) Epoch: [43][2680/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.0787 (1.7847) Prec@1 53.125 (59.392) Prec@5 76.562 (81.131) Epoch: [43][2690/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.5545 (1.7846) Prec@1 57.031 (59.389) Prec@5 85.938 (81.130) Epoch: [43][2700/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.8485 (1.7847) Prec@1 54.688 (59.387) Prec@5 84.375 (81.132) Epoch: [43][2710/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.5899 (1.7843) Prec@1 60.156 (59.392) Prec@5 82.812 (81.140) Epoch: [43][2720/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.3140 (1.7841) Prec@1 66.406 (59.402) Prec@5 86.719 (81.145) Epoch: [43][2730/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 2.3220 (1.7842) Prec@1 49.219 (59.398) Prec@5 71.875 (81.142) Epoch: [43][2740/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.0374 (1.7844) Prec@1 53.906 (59.395) Prec@5 75.781 (81.133) Epoch: [43][2750/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.9538 (1.7845) Prec@1 53.906 (59.396) Prec@5 80.469 (81.127) Epoch: [43][2760/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9525 (1.7850) Prec@1 51.562 (59.384) Prec@5 80.469 (81.121) Epoch: [43][2770/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7443 (1.7850) Prec@1 60.156 (59.388) Prec@5 84.375 (81.121) Epoch: [43][2780/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.4220 (1.7846) Prec@1 69.531 (59.397) Prec@5 88.281 (81.129) Epoch: [43][2790/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.8644 (1.7849) Prec@1 59.375 (59.393) Prec@5 77.344 (81.125) Epoch: [43][2800/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.6577 (1.7851) Prec@1 65.625 (59.392) Prec@5 84.375 (81.120) Epoch: [43][2810/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.8776 (1.7850) Prec@1 57.031 (59.394) Prec@5 82.031 (81.124) Epoch: [43][2820/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.9610 (1.7850) Prec@1 62.500 (59.400) Prec@5 78.906 (81.126) Epoch: [43][2830/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8839 (1.7852) Prec@1 55.469 (59.396) Prec@5 78.906 (81.119) Epoch: [43][2840/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.5109 (1.7851) Prec@1 64.844 (59.391) Prec@5 85.156 (81.117) Epoch: [43][2850/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.5746 (1.7851) Prec@1 60.156 (59.391) Prec@5 82.812 (81.117) Epoch: [43][2860/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.7198 (1.7848) Prec@1 60.938 (59.398) Prec@5 83.594 (81.122) Epoch: [43][2870/10010] Time 0.324 (0.332) Data 0.002 (0.002) Loss 1.6358 (1.7851) Prec@1 60.938 (59.388) Prec@5 86.719 (81.119) Epoch: [43][2880/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.4775 (1.7850) Prec@1 68.750 (59.393) Prec@5 83.594 (81.117) Epoch: [43][2890/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7406 (1.7849) Prec@1 62.500 (59.398) Prec@5 82.031 (81.117) Epoch: [43][2900/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.0469 (1.7846) Prec@1 54.688 (59.403) Prec@5 71.875 (81.121) Epoch: [43][2910/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.9237 (1.7848) Prec@1 57.031 (59.402) Prec@5 80.469 (81.118) Epoch: [43][2920/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.7396 (1.7852) Prec@1 58.594 (59.398) Prec@5 82.031 (81.111) Epoch: [43][2930/10010] Time 0.330 (0.332) Data 0.002 (0.002) Loss 1.5506 (1.7853) Prec@1 64.844 (59.397) Prec@5 85.938 (81.109) Epoch: [43][2940/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.8978 (1.7856) Prec@1 54.688 (59.396) Prec@5 80.469 (81.105) Epoch: [43][2950/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.4955 (1.7854) Prec@1 61.719 (59.399) Prec@5 88.281 (81.109) Epoch: [43][2960/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.4524 (1.7856) Prec@1 62.500 (59.392) Prec@5 85.156 (81.107) Epoch: [43][2970/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.0405 (1.7856) Prec@1 55.469 (59.391) Prec@5 74.219 (81.109) Epoch: [43][2980/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.4578 (1.7857) Prec@1 67.969 (59.390) Prec@5 87.500 (81.109) Epoch: [43][2990/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.8971 (1.7859) Prec@1 54.688 (59.381) Prec@5 78.125 (81.105) Epoch: [43][3000/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 2.0416 (1.7860) Prec@1 60.156 (59.380) Prec@5 78.125 (81.106) Epoch: [43][3010/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.6997 (1.7862) Prec@1 58.594 (59.379) Prec@5 78.906 (81.104) Epoch: [43][3020/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.6536 (1.7862) Prec@1 64.062 (59.375) Prec@5 82.031 (81.104) Epoch: [43][3030/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7358 (1.7862) Prec@1 63.281 (59.378) Prec@5 80.469 (81.103) Epoch: [43][3040/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.9243 (1.7863) Prec@1 60.156 (59.378) Prec@5 77.344 (81.101) Epoch: [43][3050/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7961 (1.7868) Prec@1 60.156 (59.367) Prec@5 80.469 (81.090) Epoch: [43][3060/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6565 (1.7868) Prec@1 62.500 (59.366) Prec@5 80.469 (81.087) Epoch: [43][3070/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6206 (1.7867) Prec@1 61.719 (59.369) Prec@5 83.594 (81.090) Epoch: [43][3080/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8122 (1.7869) Prec@1 60.156 (59.366) Prec@5 79.688 (81.089) Epoch: [43][3090/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7793 (1.7871) Prec@1 58.594 (59.357) Prec@5 82.031 (81.085) Epoch: [43][3100/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.7054 (1.7871) Prec@1 58.594 (59.356) Prec@5 82.812 (81.084) Epoch: [43][3110/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8535 (1.7870) Prec@1 58.594 (59.357) Prec@5 78.906 (81.085) Epoch: [43][3120/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.6754 (1.7870) Prec@1 57.031 (59.356) Prec@5 83.594 (81.088) Epoch: [43][3130/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8162 (1.7871) Prec@1 57.031 (59.354) Prec@5 82.031 (81.087) Epoch: [43][3140/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0002 (1.7874) Prec@1 53.125 (59.349) Prec@5 78.906 (81.083) Epoch: [43][3150/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.0361 (1.7872) Prec@1 58.594 (59.355) Prec@5 78.125 (81.086) Epoch: [43][3160/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6529 (1.7873) Prec@1 64.062 (59.354) Prec@5 79.688 (81.083) Epoch: [43][3170/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9380 (1.7875) Prec@1 57.031 (59.352) Prec@5 77.344 (81.083) Epoch: [43][3180/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7806 (1.7872) Prec@1 57.812 (59.355) Prec@5 77.344 (81.085) Epoch: [43][3190/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7285 (1.7871) Prec@1 64.062 (59.358) Prec@5 81.250 (81.084) Epoch: [43][3200/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6512 (1.7872) Prec@1 58.594 (59.356) Prec@5 84.375 (81.086) Epoch: [43][3210/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6153 (1.7870) Prec@1 60.938 (59.357) Prec@5 85.156 (81.090) Epoch: [43][3220/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8312 (1.7870) Prec@1 60.156 (59.360) Prec@5 78.906 (81.091) Epoch: [43][3230/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7299 (1.7870) Prec@1 57.812 (59.360) Prec@5 82.031 (81.094) Epoch: [43][3240/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7738 (1.7873) Prec@1 60.156 (59.356) Prec@5 81.250 (81.091) Epoch: [43][3250/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8870 (1.7873) Prec@1 60.938 (59.355) Prec@5 78.125 (81.096) Epoch: [43][3260/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9614 (1.7874) Prec@1 50.781 (59.347) Prec@5 80.469 (81.095) Epoch: [43][3270/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.2770 (1.7877) Prec@1 47.656 (59.348) Prec@5 73.438 (81.089) Epoch: [43][3280/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8614 (1.7878) Prec@1 60.938 (59.346) Prec@5 77.344 (81.087) Epoch: [43][3290/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9857 (1.7878) Prec@1 51.562 (59.344) Prec@5 80.469 (81.087) Epoch: [43][3300/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6468 (1.7877) Prec@1 60.156 (59.341) Prec@5 82.031 (81.090) Epoch: [43][3310/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8171 (1.7878) Prec@1 55.469 (59.338) Prec@5 77.344 (81.085) Epoch: [43][3320/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6827 (1.7879) Prec@1 64.062 (59.335) Prec@5 83.594 (81.082) Epoch: [43][3330/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0272 (1.7879) Prec@1 62.500 (59.339) Prec@5 80.469 (81.083) Epoch: [43][3340/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5889 (1.7880) Prec@1 66.406 (59.337) Prec@5 82.031 (81.083) Epoch: [43][3350/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9193 (1.7885) Prec@1 52.344 (59.329) Prec@5 78.125 (81.076) Epoch: [43][3360/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7360 (1.7886) Prec@1 62.500 (59.324) Prec@5 85.156 (81.072) Epoch: [43][3370/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.2483 (1.7883) Prec@1 70.312 (59.331) Prec@5 89.844 (81.077) Epoch: [43][3380/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6572 (1.7882) Prec@1 59.375 (59.336) Prec@5 84.375 (81.080) Epoch: [43][3390/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7205 (1.7880) Prec@1 60.156 (59.338) Prec@5 80.469 (81.083) Epoch: [43][3400/10010] Time 0.324 (0.331) Data 0.002 (0.001) Loss 2.0968 (1.7882) Prec@1 55.469 (59.339) Prec@5 78.906 (81.080) Epoch: [43][3410/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7338 (1.7883) Prec@1 55.469 (59.338) Prec@5 82.812 (81.077) Epoch: [43][3420/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8346 (1.7885) Prec@1 58.594 (59.334) Prec@5 78.125 (81.073) Epoch: [43][3430/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6170 (1.7886) Prec@1 58.594 (59.334) Prec@5 82.812 (81.068) Epoch: [43][3440/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9894 (1.7891) Prec@1 53.125 (59.324) Prec@5 75.781 (81.059) Epoch: [43][3450/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5594 (1.7890) Prec@1 67.188 (59.326) Prec@5 82.812 (81.060) Epoch: [43][3460/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.5942 (1.7890) Prec@1 58.594 (59.326) Prec@5 82.812 (81.059) Epoch: [43][3470/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.6417 (1.7886) Prec@1 60.156 (59.338) Prec@5 83.594 (81.064) Epoch: [43][3480/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8687 (1.7884) Prec@1 60.938 (59.343) Prec@5 80.469 (81.066) Epoch: [43][3490/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6928 (1.7883) Prec@1 60.938 (59.346) Prec@5 82.812 (81.070) Epoch: [43][3500/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8290 (1.7884) Prec@1 60.938 (59.348) Prec@5 78.125 (81.068) Epoch: [43][3510/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8070 (1.7883) Prec@1 52.344 (59.346) Prec@5 78.125 (81.069) Epoch: [43][3520/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8700 (1.7884) Prec@1 54.688 (59.343) Prec@5 82.031 (81.068) Epoch: [43][3530/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0026 (1.7887) Prec@1 46.875 (59.334) Prec@5 79.688 (81.065) Epoch: [43][3540/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7681 (1.7888) Prec@1 61.719 (59.332) Prec@5 81.250 (81.061) Epoch: [43][3550/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7212 (1.7890) Prec@1 58.594 (59.326) Prec@5 82.812 (81.059) Epoch: [43][3560/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 1.7860 (1.7890) Prec@1 59.375 (59.327) Prec@5 83.594 (81.061) Epoch: [43][3570/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9881 (1.7890) Prec@1 53.906 (59.325) Prec@5 75.781 (81.061) Epoch: [43][3580/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9358 (1.7892) Prec@1 53.125 (59.314) Prec@5 78.906 (81.059) Epoch: [43][3590/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7979 (1.7891) Prec@1 64.844 (59.315) Prec@5 76.562 (81.058) /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][3600/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7458 (1.7891) Prec@1 61.719 (59.318) Prec@5 79.688 (81.058) Epoch: [43][3610/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9330 (1.7893) Prec@1 57.812 (59.316) Prec@5 78.906 (81.052) Epoch: [43][3620/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7976 (1.7891) Prec@1 59.375 (59.320) Prec@5 79.688 (81.057) Epoch: [43][3630/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0550 (1.7892) Prec@1 57.812 (59.320) Prec@5 77.344 (81.051) Epoch: [43][3640/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1898 (1.7893) Prec@1 53.906 (59.319) Prec@5 75.000 (81.049) Epoch: [43][3650/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7858 (1.7893) Prec@1 61.719 (59.323) Prec@5 82.031 (81.052) Epoch: [43][3660/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8199 (1.7894) Prec@1 60.938 (59.323) Prec@5 78.906 (81.050) Epoch: [43][3670/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9691 (1.7895) Prec@1 57.812 (59.322) Prec@5 77.344 (81.048) Epoch: [43][3680/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5092 (1.7894) Prec@1 64.844 (59.327) Prec@5 84.375 (81.049) Epoch: [43][3690/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.1095 (1.7895) Prec@1 53.125 (59.325) Prec@5 75.781 (81.046) Epoch: [43][3700/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.7245 (1.7895) Prec@1 58.594 (59.326) Prec@5 82.812 (81.045) Epoch: [43][3710/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.1316 (1.7895) Prec@1 50.781 (59.324) Prec@5 77.344 (81.046) Epoch: [43][3720/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8312 (1.7897) Prec@1 53.906 (59.318) Prec@5 82.812 (81.044) Epoch: [43][3730/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.9331 (1.7897) Prec@1 55.469 (59.312) Prec@5 82.812 (81.045) Epoch: [43][3740/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.6353 (1.7898) Prec@1 60.938 (59.312) Prec@5 85.156 (81.043) Epoch: [43][3750/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.0656 (1.7900) Prec@1 57.031 (59.310) Prec@5 78.906 (81.039) Epoch: [43][3760/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8435 (1.7898) Prec@1 60.156 (59.315) Prec@5 82.812 (81.043) Epoch: [43][3770/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7313 (1.7898) Prec@1 63.281 (59.315) Prec@5 82.031 (81.046) Epoch: [43][3780/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5549 (1.7897) Prec@1 65.625 (59.315) Prec@5 82.812 (81.045) Epoch: [43][3790/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9349 (1.7902) Prec@1 54.688 (59.304) Prec@5 76.562 (81.039) Epoch: [43][3800/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8169 (1.7903) Prec@1 64.844 (59.302) Prec@5 78.125 (81.041) Epoch: [43][3810/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7286 (1.7903) Prec@1 58.594 (59.301) Prec@5 78.906 (81.038) Epoch: [43][3820/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.1212 (1.7903) Prec@1 50.781 (59.302) Prec@5 78.125 (81.038) Epoch: [43][3830/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.0829 (1.7903) Prec@1 50.781 (59.303) Prec@5 80.469 (81.036) Epoch: [43][3840/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.0717 (1.7904) Prec@1 49.219 (59.299) Prec@5 78.906 (81.036) Epoch: [43][3850/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.6269 (1.7903) Prec@1 63.281 (59.300) Prec@5 81.250 (81.035) Epoch: [43][3860/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6057 (1.7904) Prec@1 64.062 (59.296) Prec@5 83.594 (81.031) Epoch: [43][3870/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.5512 (1.7904) Prec@1 66.406 (59.293) Prec@5 83.594 (81.029) Epoch: [43][3880/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8605 (1.7903) Prec@1 53.906 (59.296) Prec@5 82.031 (81.032) Epoch: [43][3890/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6343 (1.7903) Prec@1 63.281 (59.296) Prec@5 81.250 (81.028) Epoch: [43][3900/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6778 (1.7902) Prec@1 56.250 (59.298) Prec@5 82.031 (81.033) Epoch: [43][3910/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8090 (1.7901) Prec@1 53.906 (59.295) Prec@5 81.250 (81.034) /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][3920/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5758 (1.7901) Prec@1 60.156 (59.293) Prec@5 88.281 (81.034) Epoch: [43][3930/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5538 (1.7900) Prec@1 59.375 (59.290) Prec@5 82.031 (81.036) Epoch: [43][3940/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9012 (1.7901) Prec@1 57.812 (59.289) Prec@5 79.688 (81.035) Epoch: [43][3950/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7069 (1.7904) Prec@1 57.812 (59.280) Prec@5 84.375 (81.029) Epoch: [43][3960/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5855 (1.7903) Prec@1 61.719 (59.281) Prec@5 84.375 (81.030) Epoch: [43][3970/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.8164 (1.7902) Prec@1 60.938 (59.279) Prec@5 80.469 (81.028) Epoch: [43][3980/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9380 (1.7903) Prec@1 57.031 (59.277) Prec@5 78.906 (81.028) Epoch: [43][3990/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.1337 (1.7904) Prec@1 54.688 (59.274) Prec@5 73.438 (81.024) Epoch: [43][4000/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.5585 (1.7904) Prec@1 59.375 (59.272) Prec@5 84.375 (81.026) Epoch: [43][4010/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8552 (1.7907) Prec@1 58.594 (59.268) Prec@5 78.125 (81.023) Epoch: [43][4020/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8304 (1.7905) Prec@1 60.156 (59.268) Prec@5 82.031 (81.025) Epoch: [43][4030/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0844 (1.7906) Prec@1 54.688 (59.265) Prec@5 75.781 (81.024) Epoch: [43][4040/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8586 (1.7907) Prec@1 53.906 (59.262) Prec@5 82.812 (81.021) Epoch: [43][4050/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7134 (1.7908) Prec@1 60.938 (59.260) Prec@5 83.594 (81.018) Epoch: [43][4060/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7290 (1.7910) Prec@1 64.844 (59.260) Prec@5 82.812 (81.013) Epoch: [43][4070/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8423 (1.7912) Prec@1 59.375 (59.260) Prec@5 81.250 (81.009) Epoch: [43][4080/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7753 (1.7912) Prec@1 55.469 (59.260) Prec@5 79.688 (81.010) Epoch: [43][4090/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.4446 (1.7909) Prec@1 68.750 (59.266) Prec@5 87.500 (81.012) Epoch: [43][4100/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.4824 (1.7908) Prec@1 69.531 (59.268) Prec@5 81.250 (81.015) Epoch: [43][4110/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 2.1052 (1.7912) Prec@1 57.031 (59.262) Prec@5 76.562 (81.008) Epoch: [43][4120/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6232 (1.7910) Prec@1 62.500 (59.262) Prec@5 83.594 (81.010) Epoch: [43][4130/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5153 (1.7911) Prec@1 69.531 (59.263) Prec@5 85.156 (81.006) Epoch: [43][4140/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0332 (1.7912) Prec@1 55.469 (59.261) Prec@5 80.469 (81.005) Epoch: [43][4150/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8302 (1.7915) Prec@1 58.594 (59.252) Prec@5 79.688 (81.001) Epoch: [43][4160/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6597 (1.7914) Prec@1 60.938 (59.252) Prec@5 85.156 (81.002) Epoch: [43][4170/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7662 (1.7914) Prec@1 62.500 (59.252) Prec@5 79.688 (81.002) Epoch: [43][4180/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.8977 (1.7915) Prec@1 60.156 (59.249) Prec@5 82.031 (81.001) Epoch: [43][4190/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5897 (1.7917) Prec@1 66.406 (59.247) Prec@5 86.719 (80.999) Epoch: [43][4200/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0190 (1.7918) Prec@1 55.469 (59.248) Prec@5 78.125 (80.996) Epoch: [43][4210/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0509 (1.7918) Prec@1 54.688 (59.247) Prec@5 82.031 (80.998) Epoch: [43][4220/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.4886 (1.7916) Prec@1 69.531 (59.251) Prec@5 86.719 (81.004) Epoch: [43][4230/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.5973 (1.7916) Prec@1 61.719 (59.250) Prec@5 84.375 (81.004) Epoch: [43][4240/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7437 (1.7914) Prec@1 62.500 (59.251) Prec@5 80.469 (81.009) Epoch: [43][4250/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9714 (1.7914) Prec@1 56.250 (59.252) Prec@5 79.688 (81.007) Epoch: [43][4260/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.6638 (1.7914) Prec@1 63.281 (59.251) Prec@5 82.031 (81.007) Epoch: [43][4270/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.4522 (1.7914) Prec@1 67.969 (59.254) Prec@5 85.156 (81.007) Epoch: [43][4280/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6095 (1.7915) Prec@1 64.062 (59.253) Prec@5 85.938 (81.006) Epoch: [43][4290/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.2052 (1.7918) Prec@1 52.344 (59.247) Prec@5 75.000 (81.004) Epoch: [43][4300/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8494 (1.7916) Prec@1 56.250 (59.245) Prec@5 80.469 (81.006) Epoch: [43][4310/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8871 (1.7915) Prec@1 60.156 (59.249) Prec@5 80.469 (81.008) Epoch: [43][4320/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5872 (1.7912) Prec@1 60.938 (59.257) Prec@5 82.812 (81.013) Epoch: [43][4330/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7294 (1.7913) Prec@1 61.719 (59.255) Prec@5 82.812 (81.013) Epoch: [43][4340/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7922 (1.7913) Prec@1 58.594 (59.251) Prec@5 82.031 (81.017) Epoch: [43][4350/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5993 (1.7913) Prec@1 58.594 (59.247) Prec@5 86.719 (81.019) Epoch: [43][4360/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7565 (1.7912) Prec@1 57.031 (59.250) Prec@5 78.906 (81.020) Epoch: [43][4370/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0431 (1.7914) Prec@1 56.250 (59.246) Prec@5 79.688 (81.017) Epoch: [43][4380/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5113 (1.7912) Prec@1 64.062 (59.252) Prec@5 85.156 (81.022) Epoch: [43][4390/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8045 (1.7911) Prec@1 58.594 (59.255) Prec@5 82.812 (81.022) Epoch: [43][4400/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8566 (1.7911) Prec@1 53.125 (59.255) Prec@5 82.031 (81.021) Epoch: [43][4410/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9106 (1.7912) Prec@1 54.688 (59.250) Prec@5 77.344 (81.020) Epoch: [43][4420/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 2.2534 (1.7914) Prec@1 50.000 (59.246) Prec@5 71.094 (81.013) Epoch: [43][4430/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1473 (1.7916) Prec@1 56.250 (59.246) Prec@5 78.906 (81.012) Epoch: [43][4440/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6001 (1.7918) Prec@1 64.062 (59.244) Prec@5 83.594 (81.008) Epoch: [43][4450/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0300 (1.7919) Prec@1 50.000 (59.239) Prec@5 78.125 (81.003) Epoch: [43][4460/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7817 (1.7919) Prec@1 60.156 (59.238) Prec@5 81.250 (81.002) Epoch: [43][4470/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0286 (1.7920) Prec@1 50.781 (59.230) Prec@5 81.250 (81.005) Epoch: [43][4480/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.8582 (1.7920) Prec@1 60.156 (59.228) Prec@5 78.125 (81.004) Epoch: [43][4490/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6484 (1.7921) Prec@1 61.719 (59.224) Prec@5 83.594 (81.006) Epoch: [43][4500/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6274 (1.7920) Prec@1 64.062 (59.227) Prec@5 82.031 (81.004) Epoch: [43][4510/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6857 (1.7922) Prec@1 61.719 (59.225) Prec@5 85.156 (81.002) Epoch: [43][4520/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9265 (1.7924) Prec@1 56.250 (59.222) Prec@5 78.906 (81.001) Epoch: [43][4530/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9005 (1.7924) Prec@1 57.031 (59.226) Prec@5 78.906 (80.999) Epoch: [43][4540/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0922 (1.7923) Prec@1 51.562 (59.225) Prec@5 78.125 (80.998) Epoch: [43][4550/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.7343 (1.7925) Prec@1 64.062 (59.222) Prec@5 81.250 (80.995) Epoch: [43][4560/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.9989 (1.7925) Prec@1 56.250 (59.223) Prec@5 81.250 (80.997) Epoch: [43][4570/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6904 (1.7924) Prec@1 64.844 (59.222) Prec@5 81.250 (80.998) Epoch: [43][4580/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.1835 (1.7924) Prec@1 50.781 (59.223) Prec@5 75.781 (80.999) Epoch: [43][4590/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6358 (1.7926) Prec@1 62.500 (59.221) Prec@5 79.688 (80.995) Epoch: [43][4600/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6368 (1.7925) Prec@1 62.500 (59.223) Prec@5 81.250 (80.995) Epoch: [43][4610/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6929 (1.7925) Prec@1 60.938 (59.220) Prec@5 82.812 (80.996) Epoch: [43][4620/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6786 (1.7927) Prec@1 56.250 (59.216) Prec@5 83.594 (80.994) Epoch: [43][4630/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.3519 (1.7928) Prec@1 69.531 (59.216) Prec@5 89.062 (80.994) Epoch: [43][4640/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7180 (1.7927) Prec@1 60.156 (59.215) Prec@5 80.469 (80.992) Epoch: [43][4650/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6444 (1.7927) Prec@1 60.938 (59.215) Prec@5 82.031 (80.994) Epoch: [43][4660/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0068 (1.7925) Prec@1 53.906 (59.220) Prec@5 75.781 (80.993) Epoch: [43][4670/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7145 (1.7926) Prec@1 57.031 (59.220) Prec@5 84.375 (80.993) Epoch: [43][4680/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8828 (1.7926) Prec@1 57.812 (59.220) Prec@5 78.906 (80.995) Epoch: [43][4690/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7406 (1.7924) Prec@1 52.344 (59.221) Prec@5 82.812 (80.997) Epoch: [43][4700/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0118 (1.7926) Prec@1 60.156 (59.217) Prec@5 77.344 (80.995) Epoch: [43][4710/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9672 (1.7925) Prec@1 53.125 (59.215) Prec@5 81.250 (81.000) Epoch: [43][4720/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8320 (1.7926) Prec@1 58.594 (59.211) Prec@5 81.250 (80.998) Epoch: [43][4730/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9243 (1.7926) Prec@1 61.719 (59.213) Prec@5 78.906 (80.998) Epoch: [43][4740/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 1.5236 (1.7925) Prec@1 64.062 (59.213) Prec@5 87.500 (81.002) Epoch: [43][4750/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0518 (1.7927) Prec@1 50.000 (59.212) Prec@5 75.000 (80.997) Epoch: [43][4760/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9045 (1.7929) Prec@1 57.031 (59.210) Prec@5 78.906 (80.996) Epoch: [43][4770/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6917 (1.7927) Prec@1 58.594 (59.213) Prec@5 82.031 (80.998) Epoch: [43][4780/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8977 (1.7925) Prec@1 59.375 (59.217) Prec@5 80.469 (81.000) Epoch: [43][4790/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7823 (1.7925) Prec@1 55.469 (59.218) Prec@5 82.031 (81.001) Epoch: [43][4800/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7317 (1.7925) Prec@1 60.938 (59.215) Prec@5 85.938 (81.000) Epoch: [43][4810/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6757 (1.7926) Prec@1 62.500 (59.212) Prec@5 82.812 (80.997) Epoch: [43][4820/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6900 (1.7926) Prec@1 57.812 (59.212) Prec@5 84.375 (80.998) Epoch: [43][4830/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7765 (1.7927) Prec@1 57.812 (59.208) Prec@5 84.375 (80.996) Epoch: [43][4840/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8749 (1.7927) Prec@1 60.156 (59.210) Prec@5 82.812 (80.999) Epoch: [43][4850/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.0251 (1.7925) Prec@1 56.250 (59.212) Prec@5 80.469 (81.002) Epoch: [43][4860/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8392 (1.7925) Prec@1 60.156 (59.210) Prec@5 80.469 (81.002) Epoch: [43][4870/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9656 (1.7927) Prec@1 59.375 (59.207) Prec@5 79.688 (80.999) Epoch: [43][4880/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6851 (1.7930) Prec@1 60.156 (59.203) Prec@5 78.906 (80.993) Epoch: [43][4890/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6602 (1.7929) Prec@1 60.156 (59.206) Prec@5 82.812 (80.993) Epoch: [43][4900/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8687 (1.7930) Prec@1 57.812 (59.203) Prec@5 78.125 (80.991) Epoch: [43][4910/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0236 (1.7931) Prec@1 56.250 (59.200) Prec@5 78.125 (80.987) Epoch: [43][4920/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.1886 (1.7931) Prec@1 53.125 (59.202) Prec@5 72.656 (80.988) Epoch: [43][4930/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0157 (1.7931) Prec@1 50.781 (59.198) Prec@5 82.031 (80.987) Epoch: [43][4940/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8010 (1.7933) Prec@1 63.281 (59.196) Prec@5 79.688 (80.983) Epoch: [43][4950/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7727 (1.7932) Prec@1 60.938 (59.196) Prec@5 80.469 (80.984) Epoch: [43][4960/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.0064 (1.7933) Prec@1 53.906 (59.197) Prec@5 78.906 (80.984) Epoch: [43][4970/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0266 (1.7935) Prec@1 56.250 (59.194) Prec@5 78.906 (80.982) Epoch: [43][4980/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9328 (1.7937) Prec@1 57.812 (59.188) Prec@5 76.562 (80.978) Epoch: [43][4990/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5471 (1.7938) Prec@1 70.312 (59.187) Prec@5 83.594 (80.977) Epoch: [43][5000/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9057 (1.7939) Prec@1 52.344 (59.186) Prec@5 82.031 (80.976) Epoch: [43][5010/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8401 (1.7939) Prec@1 57.812 (59.187) Prec@5 79.688 (80.975) Epoch: [43][5020/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1158 (1.7940) Prec@1 53.125 (59.185) Prec@5 74.219 (80.972) Epoch: [43][5030/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6761 (1.7939) Prec@1 58.594 (59.189) Prec@5 83.594 (80.976) Epoch: [43][5040/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9831 (1.7940) Prec@1 58.594 (59.187) Prec@5 76.562 (80.974) Epoch: [43][5050/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9607 (1.7941) Prec@1 60.156 (59.185) Prec@5 76.562 (80.971) Epoch: [43][5060/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7763 (1.7941) Prec@1 59.375 (59.184) Prec@5 81.250 (80.971) Epoch: [43][5070/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.4973 (1.7942) Prec@1 62.500 (59.182) Prec@5 86.719 (80.970) Epoch: [43][5080/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9129 (1.7942) Prec@1 60.156 (59.180) Prec@5 79.688 (80.970) Epoch: [43][5090/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.5351 (1.7942) Prec@1 64.062 (59.178) Prec@5 81.250 (80.968) Epoch: [43][5100/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0171 (1.7945) Prec@1 57.812 (59.175) Prec@5 78.125 (80.964) Epoch: [43][5110/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.7070 (1.7944) Prec@1 60.156 (59.176) Prec@5 84.375 (80.967) Epoch: [43][5120/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9439 (1.7946) Prec@1 53.906 (59.176) Prec@5 78.906 (80.965) Epoch: [43][5130/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8267 (1.7945) Prec@1 56.250 (59.176) Prec@5 80.469 (80.964) Epoch: [43][5140/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5389 (1.7947) Prec@1 64.062 (59.174) Prec@5 82.031 (80.964) Epoch: [43][5150/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9292 (1.7948) Prec@1 54.688 (59.170) Prec@5 82.031 (80.964) Epoch: [43][5160/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.1022 (1.7949) Prec@1 53.125 (59.169) Prec@5 77.344 (80.965) Epoch: [43][5170/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 1.8355 (1.7950) Prec@1 57.031 (59.169) Prec@5 79.688 (80.962) Epoch: [43][5180/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.6706 (1.7951) Prec@1 64.062 (59.170) Prec@5 82.031 (80.962) Epoch: [43][5190/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8794 (1.7951) Prec@1 60.938 (59.171) Prec@5 79.688 (80.960) Epoch: [43][5200/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8425 (1.7951) Prec@1 59.375 (59.175) Prec@5 82.031 (80.959) Epoch: [43][5210/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5535 (1.7951) Prec@1 66.406 (59.174) Prec@5 85.938 (80.958) Epoch: [43][5220/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6372 (1.7951) Prec@1 62.500 (59.174) Prec@5 85.156 (80.959) Epoch: [43][5230/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7073 (1.7951) Prec@1 60.938 (59.176) Prec@5 79.688 (80.959) Epoch: [43][5240/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7973 (1.7952) Prec@1 58.594 (59.175) Prec@5 85.156 (80.960) Epoch: [43][5250/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7703 (1.7951) Prec@1 64.062 (59.177) Prec@5 76.562 (80.957) Epoch: [43][5260/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7931 (1.7952) Prec@1 54.688 (59.175) Prec@5 84.375 (80.959) Epoch: [43][5270/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7763 (1.7950) Prec@1 61.719 (59.176) Prec@5 82.031 (80.961) Epoch: [43][5280/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7339 (1.7950) Prec@1 61.719 (59.176) Prec@5 80.469 (80.961) Epoch: [43][5290/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6226 (1.7950) Prec@1 61.719 (59.175) Prec@5 84.375 (80.960) Epoch: [43][5300/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5359 (1.7949) Prec@1 64.062 (59.178) Prec@5 87.500 (80.961) Epoch: [43][5310/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8407 (1.7950) Prec@1 57.031 (59.175) Prec@5 79.688 (80.959) Epoch: [43][5320/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5913 (1.7949) Prec@1 62.500 (59.178) Prec@5 84.375 (80.961) Epoch: [43][5330/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6393 (1.7948) Prec@1 61.719 (59.178) Prec@5 82.031 (80.962) Epoch: [43][5340/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5626 (1.7948) Prec@1 60.156 (59.177) Prec@5 84.375 (80.963) Epoch: [43][5350/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8095 (1.7948) Prec@1 54.688 (59.172) Prec@5 80.469 (80.963) Epoch: [43][5360/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9338 (1.7947) Prec@1 53.125 (59.178) Prec@5 76.562 (80.965) Epoch: [43][5370/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8673 (1.7947) Prec@1 59.375 (59.179) Prec@5 77.344 (80.965) Epoch: [43][5380/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7839 (1.7947) Prec@1 60.156 (59.178) Prec@5 78.906 (80.965) Epoch: [43][5390/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6354 (1.7947) Prec@1 60.938 (59.181) Prec@5 83.594 (80.966) Epoch: [43][5400/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6780 (1.7946) Prec@1 58.594 (59.181) Prec@5 82.031 (80.969) Epoch: [43][5410/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.6181 (1.7945) Prec@1 60.938 (59.184) Prec@5 84.375 (80.970) Epoch: [43][5420/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9484 (1.7946) Prec@1 57.031 (59.180) Prec@5 77.344 (80.968) Epoch: [43][5430/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9433 (1.7946) Prec@1 56.250 (59.183) Prec@5 80.469 (80.971) Epoch: [43][5440/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9939 (1.7947) Prec@1 54.688 (59.181) Prec@5 78.125 (80.968) Epoch: [43][5450/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8913 (1.7946) Prec@1 53.906 (59.180) Prec@5 78.125 (80.968) Epoch: [43][5460/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9089 (1.7948) Prec@1 53.125 (59.177) Prec@5 77.344 (80.965) Epoch: [43][5470/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8094 (1.7951) Prec@1 57.031 (59.171) Prec@5 77.344 (80.962) Epoch: [43][5480/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9244 (1.7952) Prec@1 53.906 (59.170) Prec@5 79.688 (80.959) Epoch: [43][5490/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.6290 (1.7950) Prec@1 65.625 (59.173) Prec@5 86.719 (80.964) Epoch: [43][5500/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6826 (1.7949) Prec@1 60.156 (59.172) Prec@5 84.375 (80.965) Epoch: [43][5510/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0355 (1.7950) Prec@1 57.812 (59.170) Prec@5 74.219 (80.964) Epoch: [43][5520/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8377 (1.7949) Prec@1 58.594 (59.172) Prec@5 78.906 (80.964) Epoch: [43][5530/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.4974 (1.7950) Prec@1 67.188 (59.171) Prec@5 84.375 (80.963) Epoch: [43][5540/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6826 (1.7950) Prec@1 58.594 (59.169) Prec@5 81.250 (80.961) Epoch: [43][5550/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.4944 (1.7949) Prec@1 70.312 (59.173) Prec@5 85.156 (80.964) Epoch: [43][5560/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9666 (1.7950) Prec@1 52.344 (59.171) Prec@5 81.250 (80.963) Epoch: [43][5570/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7425 (1.7950) Prec@1 57.031 (59.173) Prec@5 82.031 (80.965) Epoch: [43][5580/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6662 (1.7950) Prec@1 60.156 (59.171) Prec@5 82.812 (80.965) Epoch: [43][5590/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9630 (1.7951) Prec@1 57.812 (59.172) Prec@5 72.656 (80.963) Epoch: [43][5600/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6630 (1.7952) Prec@1 59.375 (59.170) Prec@5 82.031 (80.960) Epoch: [43][5610/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9629 (1.7954) Prec@1 57.812 (59.169) Prec@5 78.906 (80.957) Epoch: [43][5620/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7994 (1.7955) Prec@1 53.125 (59.162) Prec@5 77.344 (80.956) Epoch: [43][5630/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8085 (1.7955) Prec@1 57.812 (59.160) Prec@5 81.250 (80.956) Epoch: [43][5640/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6577 (1.7956) Prec@1 64.844 (59.157) Prec@5 84.375 (80.954) Epoch: [43][5650/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9053 (1.7957) Prec@1 57.812 (59.156) Prec@5 77.344 (80.953) Epoch: [43][5660/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9067 (1.7956) Prec@1 59.375 (59.158) Prec@5 76.562 (80.954) Epoch: [43][5670/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8444 (1.7957) Prec@1 59.375 (59.158) Prec@5 78.125 (80.951) Epoch: [43][5680/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.1082 (1.7959) Prec@1 55.469 (59.154) Prec@5 78.906 (80.952) Epoch: [43][5690/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6093 (1.7957) Prec@1 60.156 (59.157) Prec@5 82.812 (80.955) Epoch: [43][5700/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6542 (1.7956) Prec@1 53.906 (59.156) Prec@5 85.938 (80.956) Epoch: [43][5710/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7349 (1.7955) Prec@1 56.250 (59.159) Prec@5 82.031 (80.957) Epoch: [43][5720/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7066 (1.7954) Prec@1 59.375 (59.161) Prec@5 84.375 (80.958) Epoch: [43][5730/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.1038 (1.7955) Prec@1 54.688 (59.159) Prec@5 78.125 (80.958) Epoch: [43][5740/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7117 (1.7956) Prec@1 60.938 (59.157) Prec@5 81.250 (80.957) Epoch: [43][5750/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8071 (1.7957) Prec@1 58.594 (59.154) Prec@5 80.469 (80.956) Epoch: [43][5760/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6830 (1.7958) Prec@1 71.094 (59.153) Prec@5 83.594 (80.953) Epoch: [43][5770/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7646 (1.7957) Prec@1 58.594 (59.153) Prec@5 82.812 (80.955) Epoch: [43][5780/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7195 (1.7955) Prec@1 58.594 (59.157) Prec@5 82.031 (80.958) Epoch: [43][5790/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5274 (1.7954) Prec@1 64.844 (59.155) Prec@5 85.938 (80.960) Epoch: [43][5800/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7066 (1.7954) Prec@1 64.844 (59.157) Prec@5 81.250 (80.960) Epoch: [43][5810/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.1721 (1.7955) Prec@1 51.562 (59.159) Prec@5 76.562 (80.959) Epoch: [43][5820/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6589 (1.7955) Prec@1 62.500 (59.156) Prec@5 82.031 (80.960) Epoch: [43][5830/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7012 (1.7955) Prec@1 60.156 (59.154) Prec@5 82.031 (80.962) Epoch: [43][5840/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8395 (1.7955) Prec@1 58.594 (59.153) Prec@5 78.906 (80.960) Epoch: [43][5850/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9064 (1.7956) Prec@1 57.812 (59.152) Prec@5 81.250 (80.959) Epoch: [43][5860/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8649 (1.7958) Prec@1 58.594 (59.151) Prec@5 82.031 (80.958) Epoch: [43][5870/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9914 (1.7960) Prec@1 57.031 (59.152) Prec@5 78.906 (80.956) Epoch: [43][5880/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.1914 (1.7959) Prec@1 46.875 (59.150) Prec@5 74.219 (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: [43][5890/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7930 (1.7959) Prec@1 60.156 (59.154) Prec@5 78.906 (80.959) Epoch: [43][5900/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9117 (1.7958) Prec@1 52.344 (59.154) Prec@5 78.125 (80.959) Epoch: [43][5910/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7769 (1.7958) Prec@1 58.594 (59.154) Prec@5 79.688 (80.959) Epoch: [43][5920/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.4950 (1.7958) Prec@1 59.375 (59.153) Prec@5 83.594 (80.956) Epoch: [43][5930/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8425 (1.7959) Prec@1 50.781 (59.154) Prec@5 78.125 (80.956) Epoch: [43][5940/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8168 (1.7960) Prec@1 59.375 (59.151) Prec@5 80.469 (80.957) Epoch: [43][5950/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.0346 (1.7963) Prec@1 55.469 (59.146) Prec@5 75.781 (80.951) Epoch: [43][5960/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7676 (1.7961) Prec@1 57.812 (59.152) Prec@5 80.469 (80.952) Epoch: [43][5970/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0776 (1.7961) Prec@1 57.031 (59.152) Prec@5 78.125 (80.953) Epoch: [43][5980/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8782 (1.7960) Prec@1 54.688 (59.150) Prec@5 77.344 (80.954) Epoch: [43][5990/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9160 (1.7962) Prec@1 53.125 (59.145) Prec@5 80.469 (80.952) Epoch: [43][6000/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8186 (1.7962) Prec@1 60.156 (59.146) Prec@5 78.906 (80.950) Epoch: [43][6010/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.4328 (1.7964) Prec@1 64.844 (59.141) Prec@5 88.281 (80.948) Epoch: [43][6020/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7705 (1.7966) Prec@1 61.719 (59.137) Prec@5 80.469 (80.948) Epoch: [43][6030/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8343 (1.7967) Prec@1 57.031 (59.137) Prec@5 82.031 (80.947) Epoch: [43][6040/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.6596 (1.7967) Prec@1 62.500 (59.139) Prec@5 82.031 (80.948) Epoch: [43][6050/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8095 (1.7967) Prec@1 55.469 (59.138) Prec@5 79.688 (80.947) Epoch: [43][6060/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6978 (1.7969) Prec@1 64.062 (59.134) Prec@5 81.250 (80.945) Epoch: [43][6070/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5777 (1.7969) Prec@1 65.625 (59.133) Prec@5 84.375 (80.943) Epoch: [43][6080/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0844 (1.7969) Prec@1 56.250 (59.132) Prec@5 72.656 (80.942) Epoch: [43][6090/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0590 (1.7970) Prec@1 60.938 (59.131) Prec@5 75.781 (80.940) Epoch: [43][6100/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.8256 (1.7971) Prec@1 60.156 (59.131) Prec@5 81.250 (80.936) Epoch: [43][6110/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.1647 (1.7973) Prec@1 54.688 (59.127) Prec@5 73.438 (80.933) Epoch: [43][6120/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.8037 (1.7974) Prec@1 64.844 (59.126) Prec@5 79.688 (80.931) Epoch: [43][6130/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6677 (1.7972) Prec@1 63.281 (59.129) Prec@5 85.156 (80.931) Epoch: [43][6140/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7145 (1.7971) Prec@1 60.156 (59.131) Prec@5 83.594 (80.933) Epoch: [43][6150/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.1469 (1.7970) Prec@1 50.000 (59.133) Prec@5 77.344 (80.935) Epoch: [43][6160/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7001 (1.7970) Prec@1 62.500 (59.133) Prec@5 82.812 (80.934) Epoch: [43][6170/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7177 (1.7970) Prec@1 60.156 (59.133) Prec@5 83.594 (80.934) Epoch: [43][6180/10010] Time 0.325 (0.331) Data 0.002 (0.001) Loss 1.5306 (1.7970) Prec@1 55.469 (59.131) Prec@5 83.594 (80.934) Epoch: [43][6190/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8278 (1.7969) Prec@1 54.688 (59.132) Prec@5 79.688 (80.937) Epoch: [43][6200/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.3899 (1.7970) Prec@1 67.188 (59.133) Prec@5 85.156 (80.935) Epoch: [43][6210/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5566 (1.7970) Prec@1 63.281 (59.134) Prec@5 83.594 (80.935) Epoch: [43][6220/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.1504 (1.7970) Prec@1 55.469 (59.136) Prec@5 73.438 (80.935) Epoch: [43][6230/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5934 (1.7970) Prec@1 61.719 (59.134) Prec@5 82.812 (80.933) Epoch: [43][6240/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6970 (1.7971) Prec@1 64.062 (59.134) Prec@5 81.250 (80.933) Epoch: [43][6250/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7997 (1.7971) Prec@1 61.719 (59.136) Prec@5 83.594 (80.935) Epoch: [43][6260/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0880 (1.7972) Prec@1 51.562 (59.132) Prec@5 73.438 (80.932) Epoch: [43][6270/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.1485 (1.7973) Prec@1 53.906 (59.132) Prec@5 75.000 (80.933) Epoch: [43][6280/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.5370 (1.7972) Prec@1 64.062 (59.133) Prec@5 87.500 (80.934) Epoch: [43][6290/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7461 (1.7972) Prec@1 60.938 (59.132) Prec@5 82.031 (80.934) Epoch: [43][6300/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7153 (1.7972) Prec@1 63.281 (59.133) Prec@5 85.156 (80.935) Epoch: [43][6310/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9001 (1.7972) Prec@1 55.469 (59.131) Prec@5 78.125 (80.934) Epoch: [43][6320/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.4858 (1.7971) Prec@1 64.062 (59.131) Prec@5 83.594 (80.936) Epoch: [43][6330/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7836 (1.7971) Prec@1 55.469 (59.133) Prec@5 82.031 (80.938) Epoch: [43][6340/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5416 (1.7972) Prec@1 64.062 (59.130) Prec@5 83.594 (80.937) Epoch: [43][6350/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7336 (1.7973) Prec@1 63.281 (59.129) Prec@5 80.469 (80.936) Epoch: [43][6360/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7109 (1.7973) Prec@1 58.594 (59.128) Prec@5 82.812 (80.936) Epoch: [43][6370/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8898 (1.7975) Prec@1 53.906 (59.125) Prec@5 82.812 (80.933) Epoch: [43][6380/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7976 (1.7975) Prec@1 56.250 (59.124) Prec@5 82.031 (80.932) Epoch: [43][6390/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7756 (1.7976) Prec@1 60.938 (59.125) Prec@5 85.156 (80.931) Epoch: [43][6400/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.6641 (1.7975) Prec@1 64.844 (59.126) Prec@5 83.594 (80.932) Epoch: [43][6410/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8038 (1.7974) Prec@1 58.594 (59.130) Prec@5 81.250 (80.933) Epoch: [43][6420/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5825 (1.7974) Prec@1 64.062 (59.131) Prec@5 81.250 (80.934) Epoch: [43][6430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7471 (1.7975) Prec@1 63.281 (59.127) Prec@5 80.469 (80.929) Epoch: [43][6440/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7439 (1.7975) Prec@1 55.469 (59.127) Prec@5 80.469 (80.930) Epoch: [43][6450/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.8444 (1.7975) Prec@1 60.938 (59.125) Prec@5 79.688 (80.929) Epoch: [43][6460/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.4484 (1.7975) Prec@1 64.844 (59.125) Prec@5 85.938 (80.931) Epoch: [43][6470/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1473 (1.7976) Prec@1 52.344 (59.121) Prec@5 75.000 (80.928) Epoch: [43][6480/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8282 (1.7977) Prec@1 57.031 (59.120) Prec@5 82.812 (80.928) Epoch: [43][6490/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0874 (1.7977) Prec@1 58.594 (59.119) Prec@5 76.562 (80.927) Epoch: [43][6500/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5471 (1.7979) Prec@1 60.938 (59.117) Prec@5 84.375 (80.926) Epoch: [43][6510/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9704 (1.7978) Prec@1 58.594 (59.118) Prec@5 77.344 (80.927) Epoch: [43][6520/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8250 (1.7978) Prec@1 56.250 (59.119) Prec@5 80.469 (80.926) Epoch: [43][6530/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9971 (1.7980) Prec@1 54.688 (59.118) Prec@5 77.344 (80.923) Epoch: [43][6540/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6324 (1.7980) Prec@1 61.719 (59.117) Prec@5 84.375 (80.921) Epoch: [43][6550/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9117 (1.7980) Prec@1 52.344 (59.116) Prec@5 82.031 (80.920) Epoch: [43][6560/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7326 (1.7981) Prec@1 59.375 (59.115) Prec@5 80.469 (80.918) Epoch: [43][6570/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9553 (1.7981) Prec@1 62.500 (59.114) Prec@5 79.688 (80.918) Epoch: [43][6580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7114 (1.7982) Prec@1 63.281 (59.112) Prec@5 82.031 (80.916) Epoch: [43][6590/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9896 (1.7983) Prec@1 58.594 (59.111) Prec@5 80.469 (80.914) Epoch: [43][6600/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9541 (1.7983) Prec@1 60.938 (59.112) Prec@5 82.031 (80.914) Epoch: [43][6610/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7889 (1.7983) Prec@1 56.250 (59.113) Prec@5 81.250 (80.913) Epoch: [43][6620/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7286 (1.7982) Prec@1 60.938 (59.114) Prec@5 82.031 (80.915) Epoch: [43][6630/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.0377 (1.7982) Prec@1 60.156 (59.115) Prec@5 76.562 (80.915) Epoch: [43][6640/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7391 (1.7982) Prec@1 62.500 (59.115) Prec@5 85.156 (80.914) Epoch: [43][6650/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0628 (1.7983) Prec@1 53.125 (59.115) Prec@5 74.219 (80.913) Epoch: [43][6660/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7552 (1.7983) Prec@1 55.469 (59.115) Prec@5 84.375 (80.913) Epoch: [43][6670/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6636 (1.7982) Prec@1 56.250 (59.115) Prec@5 79.688 (80.914) Epoch: [43][6680/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8135 (1.7982) Prec@1 56.250 (59.115) Prec@5 82.812 (80.915) Epoch: [43][6690/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.5156 (1.7983) Prec@1 61.719 (59.114) Prec@5 87.500 (80.915) Epoch: [43][6700/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1809 (1.7984) Prec@1 50.000 (59.112) Prec@5 75.000 (80.914) Epoch: [43][6710/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.4565 (1.7983) Prec@1 64.062 (59.115) Prec@5 85.938 (80.914) Epoch: [43][6720/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8750 (1.7985) Prec@1 57.812 (59.111) Prec@5 82.812 (80.912) Epoch: [43][6730/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6763 (1.7983) Prec@1 61.719 (59.112) Prec@5 79.688 (80.912) Epoch: [43][6740/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9113 (1.7984) Prec@1 59.375 (59.114) Prec@5 82.031 (80.910) Epoch: [43][6750/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.9680 (1.7986) Prec@1 57.812 (59.111) Prec@5 78.125 (80.907) Epoch: [43][6760/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1275 (1.7987) Prec@1 44.531 (59.107) Prec@5 79.688 (80.905) Epoch: [43][6770/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0248 (1.7987) Prec@1 59.375 (59.112) Prec@5 75.000 (80.905) Epoch: [43][6780/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 2.1373 (1.7987) Prec@1 54.688 (59.111) Prec@5 72.656 (80.904) Epoch: [43][6790/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.1565 (1.7986) Prec@1 53.125 (59.113) Prec@5 75.781 (80.906) Epoch: [43][6800/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5999 (1.7985) Prec@1 67.188 (59.116) Prec@5 85.156 (80.907) Epoch: [43][6810/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8772 (1.7984) Prec@1 57.031 (59.118) Prec@5 78.906 (80.908) Epoch: [43][6820/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.4569 (1.7984) Prec@1 62.500 (59.120) Prec@5 85.938 (80.908) Epoch: [43][6830/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8414 (1.7983) Prec@1 57.031 (59.119) Prec@5 81.250 (80.910) Epoch: [43][6840/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8139 (1.7984) Prec@1 61.719 (59.120) Prec@5 78.125 (80.908) Epoch: [43][6850/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9366 (1.7985) Prec@1 60.938 (59.116) Prec@5 78.125 (80.904) Epoch: [43][6860/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6601 (1.7986) Prec@1 60.156 (59.115) Prec@5 83.594 (80.902) Epoch: [43][6870/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8676 (1.7984) Prec@1 64.844 (59.120) Prec@5 80.469 (80.908) Epoch: [43][6880/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8160 (1.7985) Prec@1 56.250 (59.116) Prec@5 79.688 (80.906) Epoch: [43][6890/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0716 (1.7987) Prec@1 50.000 (59.111) Prec@5 76.562 (80.905) Epoch: [43][6900/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8146 (1.7987) Prec@1 58.594 (59.111) Prec@5 82.031 (80.904) Epoch: [43][6910/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.2372 (1.7986) Prec@1 71.875 (59.113) Prec@5 87.500 (80.905) Epoch: [43][6920/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7258 (1.7986) Prec@1 59.375 (59.113) Prec@5 79.688 (80.905) Epoch: [43][6930/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6597 (1.7987) Prec@1 64.844 (59.112) Prec@5 83.594 (80.902) Epoch: [43][6940/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.4125 (1.7987) Prec@1 64.844 (59.112) Prec@5 87.500 (80.903) Epoch: [43][6950/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6774 (1.7986) Prec@1 59.375 (59.115) Prec@5 86.719 (80.904) Epoch: [43][6960/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9259 (1.7988) Prec@1 55.469 (59.111) Prec@5 78.906 (80.901) Epoch: [43][6970/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6551 (1.7988) Prec@1 64.062 (59.113) Prec@5 85.156 (80.902) Epoch: [43][6980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9534 (1.7987) Prec@1 50.781 (59.115) Prec@5 78.125 (80.901) Epoch: [43][6990/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0073 (1.7988) Prec@1 53.125 (59.115) Prec@5 77.344 (80.900) Epoch: [43][7000/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8680 (1.7987) Prec@1 57.031 (59.115) Prec@5 82.812 (80.902) Epoch: [43][7010/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.8478 (1.7987) Prec@1 62.500 (59.116) Prec@5 79.688 (80.902) Epoch: [43][7020/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7213 (1.7988) Prec@1 62.500 (59.115) Prec@5 83.594 (80.901) Epoch: [43][7030/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7880 (1.7988) Prec@1 59.375 (59.117) Prec@5 79.688 (80.902) Epoch: [43][7040/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8475 (1.7988) Prec@1 53.125 (59.116) Prec@5 81.250 (80.901) Epoch: [43][7050/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7746 (1.7989) Prec@1 58.594 (59.113) Prec@5 80.469 (80.898) Epoch: [43][7060/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.4059 (1.7988) Prec@1 69.531 (59.113) Prec@5 87.500 (80.901) Epoch: [43][7070/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7134 (1.7987) Prec@1 62.500 (59.114) Prec@5 80.469 (80.902) Epoch: [43][7080/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0111 (1.7989) Prec@1 53.125 (59.113) Prec@5 81.250 (80.901) Epoch: [43][7090/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8304 (1.7989) Prec@1 58.594 (59.109) Prec@5 81.250 (80.902) Epoch: [43][7100/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8307 (1.7990) Prec@1 57.031 (59.109) Prec@5 81.250 (80.901) Epoch: [43][7110/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7871 (1.7990) Prec@1 50.781 (59.107) Prec@5 83.594 (80.901) Epoch: [43][7120/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7641 (1.7990) Prec@1 60.156 (59.108) Prec@5 82.031 (80.902) Epoch: [43][7130/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.0276 (1.7991) Prec@1 53.906 (59.108) Prec@5 78.125 (80.900) Epoch: [43][7140/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7080 (1.7992) Prec@1 64.062 (59.104) Prec@5 82.031 (80.897) Epoch: [43][7150/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.9025 (1.7994) Prec@1 58.594 (59.103) Prec@5 82.031 (80.895) Epoch: [43][7160/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9960 (1.7993) Prec@1 56.250 (59.104) Prec@5 77.344 (80.897) Epoch: [43][7170/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.7154 (1.7994) Prec@1 60.156 (59.099) Prec@5 78.906 (80.895) Epoch: [43][7180/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0151 (1.7994) Prec@1 56.250 (59.100) Prec@5 79.688 (80.894) Epoch: [43][7190/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9429 (1.7993) Prec@1 53.125 (59.101) Prec@5 76.562 (80.893) Epoch: [43][7200/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.6183 (1.7994) Prec@1 66.406 (59.103) Prec@5 82.031 (80.893) Epoch: [43][7210/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8474 (1.7994) Prec@1 60.156 (59.102) Prec@5 80.469 (80.894) Epoch: [43][7220/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.5678 (1.7995) Prec@1 64.844 (59.102) Prec@5 82.031 (80.892) Epoch: [43][7230/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8638 (1.7996) Prec@1 57.031 (59.099) Prec@5 76.562 (80.889) Epoch: [43][7240/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8598 (1.7997) Prec@1 60.156 (59.101) Prec@5 80.469 (80.889) Epoch: [43][7250/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.8034 (1.7998) Prec@1 60.938 (59.099) Prec@5 82.812 (80.888) Epoch: [43][7260/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8429 (1.7998) Prec@1 63.281 (59.100) Prec@5 81.250 (80.887) Epoch: [43][7270/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9056 (1.7997) Prec@1 53.906 (59.102) Prec@5 79.688 (80.889) Epoch: [43][7280/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7445 (1.7997) Prec@1 60.156 (59.104) Prec@5 82.031 (80.888) Epoch: [43][7290/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.7346 (1.7997) Prec@1 60.938 (59.104) Prec@5 83.594 (80.889) Epoch: [43][7300/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6040 (1.7996) Prec@1 59.375 (59.104) Prec@5 81.250 (80.889) Epoch: [43][7310/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.9447 (1.7997) Prec@1 57.031 (59.103) Prec@5 77.344 (80.888) Epoch: [43][7320/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8281 (1.7997) Prec@1 61.719 (59.102) Prec@5 79.688 (80.887) Epoch: [43][7330/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8767 (1.7998) Prec@1 53.906 (59.099) Prec@5 79.688 (80.884) Epoch: [43][7340/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.0792 (1.7999) Prec@1 51.562 (59.096) Prec@5 78.906 (80.883) Epoch: [43][7350/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5951 (1.7999) Prec@1 62.500 (59.095) Prec@5 85.938 (80.885) Epoch: [43][7360/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0798 (1.7998) Prec@1 57.031 (59.096) Prec@5 72.656 (80.885) Epoch: [43][7370/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7744 (1.7998) Prec@1 59.375 (59.097) Prec@5 79.688 (80.886) Epoch: [43][7380/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9419 (1.8000) Prec@1 54.688 (59.091) Prec@5 79.688 (80.883) Epoch: [43][7390/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.7002 (1.8002) Prec@1 61.719 (59.089) Prec@5 82.031 (80.881) Epoch: [43][7400/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7473 (1.8002) Prec@1 66.406 (59.090) Prec@5 80.469 (80.879) Epoch: [43][7410/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9572 (1.8002) Prec@1 57.812 (59.091) Prec@5 78.125 (80.878) Epoch: [43][7420/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.1337 (1.8002) Prec@1 51.562 (59.090) Prec@5 73.438 (80.877) Epoch: [43][7430/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.7184 (1.8002) Prec@1 60.156 (59.090) Prec@5 81.250 (80.877) Epoch: [43][7440/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8553 (1.8002) Prec@1 52.344 (59.090) Prec@5 84.375 (80.877) Epoch: [43][7450/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4514 (1.8001) Prec@1 67.188 (59.092) Prec@5 84.375 (80.877) Epoch: [43][7460/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.7787 (1.8000) Prec@1 63.281 (59.095) Prec@5 77.344 (80.877) Epoch: [43][7470/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.5972 (1.8001) Prec@1 61.719 (59.096) Prec@5 84.375 (80.876) Epoch: [43][7480/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6719 (1.8000) Prec@1 56.250 (59.098) Prec@5 82.812 (80.877) Epoch: [43][7490/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8102 (1.8000) Prec@1 58.594 (59.095) Prec@5 82.031 (80.876) Epoch: [43][7500/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8628 (1.8001) Prec@1 55.469 (59.093) Prec@5 82.031 (80.875) Epoch: [43][7510/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7121 (1.8001) Prec@1 59.375 (59.092) Prec@5 81.250 (80.875) Epoch: [43][7520/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7362 (1.8002) Prec@1 64.062 (59.090) Prec@5 80.469 (80.873) Epoch: [43][7530/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7393 (1.8002) Prec@1 58.594 (59.091) Prec@5 85.156 (80.873) Epoch: [43][7540/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.0524 (1.8002) Prec@1 50.781 (59.092) Prec@5 75.000 (80.874) Epoch: [43][7550/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.3905 (1.8002) Prec@1 50.781 (59.091) Prec@5 71.875 (80.873) Epoch: [43][7560/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.5644 (1.8001) Prec@1 65.625 (59.093) Prec@5 82.031 (80.875) Epoch: [43][7570/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6419 (1.8002) Prec@1 62.500 (59.092) Prec@5 85.156 (80.873) Epoch: [43][7580/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0000 (1.8001) Prec@1 57.031 (59.093) Prec@5 78.125 (80.876) Epoch: [43][7590/10010] Time 0.345 (0.331) Data 0.003 (0.001) Loss 1.9473 (1.8001) Prec@1 56.250 (59.091) Prec@5 79.688 (80.876) Epoch: [43][7600/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8363 (1.8001) Prec@1 61.719 (59.092) Prec@5 81.250 (80.876) Epoch: [43][7610/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.5642 (1.8000) Prec@1 63.281 (59.092) Prec@5 85.938 (80.876) Epoch: [43][7620/10010] Time 0.349 (0.331) Data 0.000 (0.001) Loss 1.6307 (1.8002) Prec@1 64.062 (59.089) Prec@5 84.375 (80.874) Epoch: [43][7630/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8478 (1.8002) Prec@1 59.375 (59.089) Prec@5 78.906 (80.875) Epoch: [43][7640/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6578 (1.8002) Prec@1 59.375 (59.090) Prec@5 81.250 (80.874) Epoch: [43][7650/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7207 (1.8002) Prec@1 64.844 (59.092) Prec@5 82.812 (80.875) Epoch: [43][7660/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1288 (1.8001) Prec@1 59.375 (59.093) Prec@5 75.000 (80.876) Epoch: [43][7670/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8832 (1.8001) Prec@1 56.250 (59.091) Prec@5 79.688 (80.875) Epoch: [43][7680/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7380 (1.8000) Prec@1 64.062 (59.094) Prec@5 78.906 (80.876) Epoch: [43][7690/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6391 (1.7998) Prec@1 62.500 (59.097) Prec@5 82.031 (80.879) Epoch: [43][7700/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7673 (1.7997) Prec@1 58.594 (59.099) Prec@5 78.125 (80.881) Epoch: [43][7710/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.5754 (1.7997) Prec@1 63.281 (59.099) Prec@5 84.375 (80.882) Epoch: [43][7720/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6367 (1.7997) Prec@1 63.281 (59.099) Prec@5 82.812 (80.882) Epoch: [43][7730/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8635 (1.7996) Prec@1 58.594 (59.099) Prec@5 79.688 (80.883) Epoch: [43][7740/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8453 (1.7995) Prec@1 60.156 (59.101) Prec@5 83.594 (80.883) Epoch: [43][7750/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8164 (1.7995) Prec@1 55.469 (59.102) Prec@5 81.250 (80.885) /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: [43][7760/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8664 (1.7995) Prec@1 55.469 (59.102) Prec@5 77.344 (80.886) Epoch: [43][7770/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0532 (1.7995) Prec@1 52.344 (59.100) Prec@5 78.906 (80.886) Epoch: [43][7780/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0329 (1.7996) Prec@1 59.375 (59.099) Prec@5 78.906 (80.883) Epoch: [43][7790/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6657 (1.7995) Prec@1 57.812 (59.100) Prec@5 82.812 (80.884) Epoch: [43][7800/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.0570 (1.7995) Prec@1 58.594 (59.099) Prec@5 78.906 (80.886) Epoch: [43][7810/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.5399 (1.7994) Prec@1 66.406 (59.102) Prec@5 83.594 (80.887) Epoch: [43][7820/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8912 (1.7995) Prec@1 60.938 (59.098) Prec@5 80.469 (80.885) Epoch: [43][7830/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8776 (1.7995) Prec@1 55.469 (59.099) Prec@5 78.906 (80.886) Epoch: [43][7840/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5772 (1.7994) Prec@1 64.844 (59.098) Prec@5 83.594 (80.885) Epoch: [43][7850/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.5995 (1.7993) Prec@1 60.156 (59.101) Prec@5 85.938 (80.886) Epoch: [43][7860/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0786 (1.7994) Prec@1 54.688 (59.098) Prec@5 78.125 (80.885) Epoch: [43][7870/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6011 (1.7994) Prec@1 61.719 (59.100) Prec@5 82.812 (80.886) Epoch: [43][7880/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7766 (1.7994) Prec@1 59.375 (59.099) Prec@5 82.031 (80.886) Epoch: [43][7890/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.6152 (1.7993) Prec@1 60.156 (59.101) Prec@5 85.938 (80.887) Epoch: [43][7900/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0885 (1.7993) Prec@1 52.344 (59.100) Prec@5 77.344 (80.888) Epoch: [43][7910/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.3634 (1.7994) Prec@1 73.438 (59.102) Prec@5 84.375 (80.886) Epoch: [43][7920/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1381 (1.7994) Prec@1 54.688 (59.099) Prec@5 77.344 (80.885) Epoch: [43][7930/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9645 (1.7994) Prec@1 58.594 (59.098) Prec@5 75.781 (80.885) Epoch: [43][7940/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9417 (1.7995) Prec@1 56.250 (59.097) Prec@5 79.688 (80.883) Epoch: [43][7950/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.6329 (1.7995) Prec@1 64.844 (59.098) Prec@5 84.375 (80.883) Epoch: [43][7960/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.5261 (1.7995) Prec@1 56.250 (59.097) Prec@5 86.719 (80.883) Epoch: [43][7970/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5887 (1.7995) Prec@1 61.719 (59.097) Prec@5 84.375 (80.883) Epoch: [43][7980/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6019 (1.7995) Prec@1 60.156 (59.095) Prec@5 82.031 (80.883) Epoch: [43][7990/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9347 (1.7995) Prec@1 55.469 (59.095) Prec@5 76.562 (80.882) Epoch: [43][8000/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8337 (1.7996) Prec@1 57.031 (59.090) Prec@5 82.031 (80.880) Epoch: [43][8010/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9288 (1.7997) Prec@1 56.250 (59.089) Prec@5 78.906 (80.878) Epoch: [43][8020/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7392 (1.7998) Prec@1 66.406 (59.087) Prec@5 85.156 (80.878) Epoch: [43][8030/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0738 (1.7998) Prec@1 55.469 (59.087) Prec@5 74.219 (80.877) Epoch: [43][8040/10010] Time 0.352 (0.331) Data 0.001 (0.001) Loss 1.8408 (1.7998) Prec@1 60.156 (59.088) Prec@5 82.031 (80.878) Epoch: [43][8050/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8929 (1.7998) Prec@1 54.688 (59.087) Prec@5 82.031 (80.876) Epoch: [43][8060/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0057 (1.7998) Prec@1 56.250 (59.086) Prec@5 77.344 (80.877) Epoch: [43][8070/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8842 (1.7999) Prec@1 57.812 (59.087) Prec@5 78.125 (80.875) Epoch: [43][8080/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.1695 (1.8000) Prec@1 50.000 (59.086) Prec@5 77.344 (80.874) Epoch: [43][8090/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9636 (1.8000) Prec@1 57.812 (59.085) Prec@5 75.781 (80.872) Epoch: [43][8100/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 2.1840 (1.8001) Prec@1 58.594 (59.082) Prec@5 71.875 (80.870) Epoch: [43][8110/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6593 (1.8001) Prec@1 59.375 (59.082) Prec@5 83.594 (80.870) Epoch: [43][8120/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6359 (1.8001) Prec@1 60.156 (59.081) Prec@5 82.031 (80.870) Epoch: [43][8130/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6626 (1.8000) Prec@1 61.719 (59.081) Prec@5 80.469 (80.870) Epoch: [43][8140/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0910 (1.8000) Prec@1 57.031 (59.082) Prec@5 72.656 (80.870) Epoch: [43][8150/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1066 (1.8001) Prec@1 57.812 (59.082) Prec@5 78.125 (80.869) Epoch: [43][8160/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8894 (1.8001) Prec@1 58.594 (59.083) Prec@5 76.562 (80.868) Epoch: [43][8170/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8090 (1.8000) Prec@1 58.594 (59.084) Prec@5 80.469 (80.870) Epoch: [43][8180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8508 (1.8000) Prec@1 57.031 (59.084) Prec@5 79.688 (80.868) Epoch: [43][8190/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.3968 (1.8000) Prec@1 64.844 (59.083) Prec@5 88.281 (80.868) Epoch: [43][8200/10010] Time 0.352 (0.331) Data 0.000 (0.001) Loss 1.7328 (1.8002) Prec@1 60.156 (59.080) Prec@5 81.250 (80.865) Epoch: [43][8210/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8910 (1.8002) Prec@1 57.812 (59.079) Prec@5 80.469 (80.865) Epoch: [43][8220/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9732 (1.8002) Prec@1 54.688 (59.079) Prec@5 76.562 (80.865) Epoch: [43][8230/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 2.4027 (1.8003) Prec@1 42.188 (59.077) Prec@5 71.875 (80.863) Epoch: [43][8240/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8346 (1.8003) Prec@1 59.375 (59.079) Prec@5 82.812 (80.864) Epoch: [43][8250/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.9672 (1.8003) Prec@1 55.469 (59.077) Prec@5 78.125 (80.862) Epoch: [43][8260/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7714 (1.8002) Prec@1 59.375 (59.078) Prec@5 80.469 (80.863) Epoch: [43][8270/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9360 (1.8002) Prec@1 58.594 (59.079) Prec@5 77.344 (80.864) Epoch: [43][8280/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5083 (1.8001) Prec@1 56.250 (59.081) Prec@5 88.281 (80.868) Epoch: [43][8290/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7147 (1.8000) Prec@1 60.156 (59.082) Prec@5 82.031 (80.867) Epoch: [43][8300/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.5471 (1.8000) Prec@1 63.281 (59.082) Prec@5 82.031 (80.868) Epoch: [43][8310/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7463 (1.8001) Prec@1 59.375 (59.081) Prec@5 82.031 (80.867) Epoch: [43][8320/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6241 (1.8001) Prec@1 63.281 (59.082) Prec@5 84.375 (80.868) Epoch: [43][8330/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8551 (1.8002) Prec@1 56.250 (59.079) Prec@5 78.125 (80.866) Epoch: [43][8340/10010] Time 0.352 (0.331) Data 0.000 (0.001) Loss 2.0339 (1.8003) Prec@1 51.562 (59.077) Prec@5 81.250 (80.865) Epoch: [43][8350/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8613 (1.8003) Prec@1 57.812 (59.076) Prec@5 78.125 (80.865) Epoch: [43][8360/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5216 (1.8003) Prec@1 62.500 (59.076) Prec@5 87.500 (80.865) Epoch: [43][8370/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7466 (1.8002) Prec@1 61.719 (59.077) Prec@5 81.250 (80.865) Epoch: [43][8380/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5904 (1.8004) Prec@1 63.281 (59.073) Prec@5 85.156 (80.863) Epoch: [43][8390/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 1.8627 (1.8005) Prec@1 59.375 (59.071) Prec@5 78.906 (80.862) Epoch: [43][8400/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9948 (1.8005) Prec@1 52.344 (59.070) Prec@5 75.781 (80.862) Epoch: [43][8410/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.0894 (1.8005) Prec@1 56.250 (59.070) Prec@5 71.094 (80.860) Epoch: [43][8420/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6729 (1.8006) Prec@1 62.500 (59.067) Prec@5 82.812 (80.859) Epoch: [43][8430/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0654 (1.8007) Prec@1 50.000 (59.066) Prec@5 78.906 (80.859) Epoch: [43][8440/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5245 (1.8006) Prec@1 62.500 (59.067) Prec@5 85.156 (80.860) Epoch: [43][8450/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9384 (1.8007) Prec@1 55.469 (59.067) Prec@5 82.812 (80.862) Epoch: [43][8460/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7622 (1.8006) Prec@1 65.625 (59.067) Prec@5 80.469 (80.862) Epoch: [43][8470/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6185 (1.8006) Prec@1 64.844 (59.068) Prec@5 85.938 (80.861) Epoch: [43][8480/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8830 (1.8006) Prec@1 58.594 (59.068) Prec@5 78.906 (80.863) Epoch: [43][8490/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.1239 (1.8006) Prec@1 51.562 (59.068) Prec@5 73.438 (80.862) Epoch: [43][8500/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.5176 (1.8006) Prec@1 65.625 (59.065) Prec@5 87.500 (80.862) Epoch: [43][8510/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.4129 (1.8006) Prec@1 64.844 (59.065) Prec@5 87.500 (80.863) Epoch: [43][8520/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.9544 (1.8007) Prec@1 57.812 (59.063) Prec@5 80.469 (80.860) Epoch: [43][8530/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5157 (1.8007) Prec@1 63.281 (59.064) Prec@5 85.938 (80.862) Epoch: [43][8540/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8517 (1.8008) Prec@1 53.125 (59.063) Prec@5 80.469 (80.859) Epoch: [43][8550/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8379 (1.8008) Prec@1 58.594 (59.063) Prec@5 78.906 (80.858) Epoch: [43][8560/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6323 (1.8009) Prec@1 63.281 (59.060) Prec@5 82.031 (80.857) Epoch: [43][8570/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.0423 (1.8010) Prec@1 50.781 (59.060) Prec@5 77.344 (80.853) Epoch: [43][8580/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.5934 (1.8011) Prec@1 63.281 (59.060) Prec@5 86.719 (80.854) Epoch: [43][8590/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5620 (1.8012) Prec@1 62.500 (59.059) Prec@5 85.938 (80.853) Epoch: [43][8600/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9351 (1.8012) Prec@1 60.938 (59.059) Prec@5 81.250 (80.853) Epoch: [43][8610/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6128 (1.8012) Prec@1 62.500 (59.059) Prec@5 84.375 (80.853) Epoch: [43][8620/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9286 (1.8012) Prec@1 55.469 (59.058) Prec@5 79.688 (80.853) Epoch: [43][8630/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0764 (1.8012) Prec@1 53.125 (59.058) Prec@5 77.344 (80.855) Epoch: [43][8640/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.4521 (1.8012) Prec@1 64.062 (59.058) Prec@5 86.719 (80.855) Epoch: [43][8650/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9140 (1.8012) Prec@1 56.250 (59.059) Prec@5 77.344 (80.854) Epoch: [43][8660/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8073 (1.8013) Prec@1 55.469 (59.057) Prec@5 80.469 (80.853) Epoch: [43][8670/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6225 (1.8014) Prec@1 60.938 (59.057) Prec@5 84.375 (80.853) Epoch: [43][8680/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.1292 (1.8015) Prec@1 53.125 (59.055) Prec@5 78.906 (80.851) Epoch: [43][8690/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.4415 (1.8015) Prec@1 63.281 (59.055) Prec@5 87.500 (80.851) Epoch: [43][8700/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.1141 (1.8014) Prec@1 53.125 (59.055) Prec@5 77.344 (80.853) Epoch: [43][8710/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5942 (1.8013) Prec@1 62.500 (59.059) Prec@5 86.719 (80.855) Epoch: [43][8720/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8510 (1.8014) Prec@1 55.469 (59.057) Prec@5 80.469 (80.854) Epoch: [43][8730/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8603 (1.8014) Prec@1 57.031 (59.057) Prec@5 80.469 (80.853) Epoch: [43][8740/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6819 (1.8015) Prec@1 59.375 (59.054) Prec@5 77.344 (80.852) Epoch: [43][8750/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.1011 (1.8015) Prec@1 59.375 (59.056) Prec@5 76.562 (80.851) Epoch: [43][8760/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9146 (1.8016) Prec@1 55.469 (59.056) Prec@5 75.781 (80.850) Epoch: [43][8770/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5765 (1.8016) Prec@1 61.719 (59.057) Prec@5 85.156 (80.849) Epoch: [43][8780/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8401 (1.8015) Prec@1 58.594 (59.058) Prec@5 82.812 (80.850) Epoch: [43][8790/10010] Time 0.329 (0.331) Data 0.002 (0.001) Loss 1.6892 (1.8016) Prec@1 62.500 (59.058) Prec@5 82.031 (80.849) Epoch: [43][8800/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9659 (1.8017) Prec@1 55.469 (59.055) Prec@5 78.125 (80.846) Epoch: [43][8810/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.0726 (1.8018) Prec@1 57.031 (59.053) Prec@5 75.781 (80.844) Epoch: [43][8820/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.1829 (1.8017) Prec@1 53.906 (59.052) Prec@5 75.000 (80.844) Epoch: [43][8830/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6323 (1.8017) Prec@1 64.062 (59.053) Prec@5 85.938 (80.845) Epoch: [43][8840/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8715 (1.8017) Prec@1 56.250 (59.052) Prec@5 78.906 (80.844) Epoch: [43][8850/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6936 (1.8016) Prec@1 60.156 (59.052) Prec@5 85.156 (80.845) Epoch: [43][8860/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8401 (1.8017) Prec@1 59.375 (59.052) Prec@5 82.031 (80.843) Epoch: [43][8870/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.1215 (1.8016) Prec@1 59.375 (59.052) Prec@5 78.125 (80.844) Epoch: [43][8880/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5589 (1.8016) Prec@1 61.719 (59.052) Prec@5 82.812 (80.843) Epoch: [43][8890/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9137 (1.8016) Prec@1 54.688 (59.052) Prec@5 80.469 (80.843) Epoch: [43][8900/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8385 (1.8017) Prec@1 57.812 (59.049) Prec@5 78.906 (80.841) Epoch: [43][8910/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9298 (1.8018) Prec@1 56.250 (59.049) Prec@5 79.688 (80.841) Epoch: [43][8920/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0834 (1.8017) Prec@1 49.219 (59.050) Prec@5 78.125 (80.842) Epoch: [43][8930/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8423 (1.8017) Prec@1 55.469 (59.049) Prec@5 81.250 (80.842) Epoch: [43][8940/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8140 (1.8017) Prec@1 60.156 (59.050) Prec@5 81.250 (80.843) Epoch: [43][8950/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7827 (1.8017) Prec@1 60.156 (59.053) Prec@5 77.344 (80.842) Epoch: [43][8960/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6245 (1.8016) Prec@1 67.188 (59.052) Prec@5 82.812 (80.843) Epoch: [43][8970/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6934 (1.8016) Prec@1 57.031 (59.053) Prec@5 86.719 (80.843) Epoch: [43][8980/10010] Time 0.353 (0.331) Data 0.000 (0.001) Loss 1.7767 (1.8016) Prec@1 57.812 (59.054) Prec@5 85.938 (80.845) Epoch: [43][8990/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8307 (1.8015) Prec@1 60.156 (59.057) Prec@5 77.344 (80.846) Epoch: [43][9000/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0783 (1.8015) Prec@1 50.781 (59.055) Prec@5 78.125 (80.845) Epoch: [43][9010/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7432 (1.8015) Prec@1 61.719 (59.055) Prec@5 79.688 (80.845) Epoch: [43][9020/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9123 (1.8016) Prec@1 56.250 (59.054) Prec@5 75.000 (80.843) Epoch: [43][9030/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.0487 (1.8017) Prec@1 57.031 (59.052) Prec@5 76.562 (80.843) Epoch: [43][9040/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.6469 (1.8017) Prec@1 61.719 (59.052) Prec@5 84.375 (80.843) Epoch: [43][9050/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7530 (1.8017) Prec@1 57.031 (59.051) Prec@5 79.688 (80.843) Epoch: [43][9060/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7507 (1.8016) Prec@1 55.469 (59.050) Prec@5 85.938 (80.845) Epoch: [43][9070/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7250 (1.8017) Prec@1 62.500 (59.050) Prec@5 79.688 (80.844) Epoch: [43][9080/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9678 (1.8016) Prec@1 55.469 (59.052) Prec@5 75.781 (80.844) Epoch: [43][9090/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0245 (1.8016) Prec@1 55.469 (59.052) Prec@5 75.000 (80.844) Epoch: [43][9100/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8732 (1.8017) Prec@1 56.250 (59.049) Prec@5 82.031 (80.843) Epoch: [43][9110/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7636 (1.8017) Prec@1 60.156 (59.050) Prec@5 78.125 (80.844) Epoch: [43][9120/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7361 (1.8016) Prec@1 60.938 (59.050) Prec@5 80.469 (80.844) Epoch: [43][9130/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8311 (1.8017) Prec@1 60.156 (59.049) Prec@5 80.469 (80.844) Epoch: [43][9140/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8675 (1.8017) Prec@1 57.812 (59.047) Prec@5 80.469 (80.843) Epoch: [43][9150/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8731 (1.8017) Prec@1 60.156 (59.048) Prec@5 81.250 (80.843) Epoch: [43][9160/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9303 (1.8017) Prec@1 54.688 (59.048) Prec@5 78.125 (80.841) Epoch: [43][9170/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6182 (1.8017) Prec@1 57.031 (59.048) Prec@5 81.250 (80.841) Epoch: [43][9180/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6034 (1.8017) Prec@1 58.594 (59.048) Prec@5 86.719 (80.841) Epoch: [43][9190/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7321 (1.8018) Prec@1 60.938 (59.049) Prec@5 81.250 (80.840) Epoch: [43][9200/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7486 (1.8018) Prec@1 60.938 (59.048) Prec@5 78.906 (80.839) Epoch: [43][9210/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7363 (1.8018) Prec@1 59.375 (59.047) Prec@5 78.906 (80.839) Epoch: [43][9220/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0056 (1.8019) Prec@1 53.906 (59.046) Prec@5 77.344 (80.837) Epoch: [43][9230/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7255 (1.8018) Prec@1 63.281 (59.047) Prec@5 83.594 (80.838) Epoch: [43][9240/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9104 (1.8019) Prec@1 58.594 (59.046) Prec@5 78.906 (80.837) Epoch: [43][9250/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8023 (1.8020) Prec@1 57.031 (59.044) Prec@5 81.250 (80.836) Epoch: [43][9260/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7575 (1.8020) Prec@1 57.031 (59.041) Prec@5 82.031 (80.836) Epoch: [43][9270/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.8413 (1.8021) Prec@1 57.812 (59.040) Prec@5 81.250 (80.834) Epoch: [43][9280/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.3797 (1.8020) Prec@1 64.844 (59.041) Prec@5 89.062 (80.837) Epoch: [43][9290/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0581 (1.8020) Prec@1 59.375 (59.042) Prec@5 78.125 (80.837) Epoch: [43][9300/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8927 (1.8020) Prec@1 56.250 (59.043) Prec@5 79.688 (80.837) Epoch: [43][9310/10010] Time 0.350 (0.331) Data 0.001 (0.001) Loss 1.9456 (1.8020) Prec@1 58.594 (59.043) Prec@5 78.906 (80.837) Epoch: [43][9320/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0842 (1.8020) Prec@1 55.469 (59.042) Prec@5 73.438 (80.836) Epoch: [43][9330/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7381 (1.8021) Prec@1 59.375 (59.039) Prec@5 82.031 (80.835) Epoch: [43][9340/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8001 (1.8021) Prec@1 54.688 (59.039) Prec@5 80.469 (80.834) Epoch: [43][9350/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7853 (1.8021) Prec@1 57.031 (59.038) Prec@5 81.250 (80.834) Epoch: [43][9360/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 2.1334 (1.8021) Prec@1 51.562 (59.036) Prec@5 75.000 (80.834) Epoch: [43][9370/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.7045 (1.8021) Prec@1 57.812 (59.037) Prec@5 85.156 (80.834) Epoch: [43][9380/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.5950 (1.8021) Prec@1 67.969 (59.036) Prec@5 82.031 (80.834) Epoch: [43][9390/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5910 (1.8021) Prec@1 62.500 (59.035) Prec@5 86.719 (80.833) Epoch: [43][9400/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.5363 (1.8020) Prec@1 62.500 (59.037) Prec@5 82.031 (80.835) Epoch: [43][9410/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6739 (1.8020) Prec@1 58.594 (59.037) Prec@5 81.250 (80.835) Epoch: [43][9420/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6789 (1.8020) Prec@1 58.594 (59.036) Prec@5 82.031 (80.837) Epoch: [43][9430/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8835 (1.8020) Prec@1 54.688 (59.036) Prec@5 81.250 (80.836) Epoch: [43][9440/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9203 (1.8020) Prec@1 56.250 (59.036) Prec@5 81.250 (80.837) Epoch: [43][9450/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.8164 (1.8021) Prec@1 57.812 (59.034) Prec@5 75.781 (80.835) Epoch: [43][9460/10010] Time 0.350 (0.331) Data 0.000 (0.001) Loss 1.6401 (1.8021) Prec@1 66.406 (59.034) Prec@5 84.375 (80.835) Epoch: [43][9470/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5081 (1.8020) Prec@1 62.500 (59.037) Prec@5 85.156 (80.836) Epoch: [43][9480/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8669 (1.8021) Prec@1 57.031 (59.035) Prec@5 80.469 (80.835) Epoch: [43][9490/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8074 (1.8021) Prec@1 58.594 (59.036) Prec@5 79.688 (80.835) Epoch: [43][9500/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8962 (1.8021) Prec@1 59.375 (59.038) Prec@5 81.250 (80.835) Epoch: [43][9510/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9106 (1.8021) Prec@1 60.156 (59.039) Prec@5 82.812 (80.835) Epoch: [43][9520/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9142 (1.8022) Prec@1 59.375 (59.036) Prec@5 78.125 (80.834) Epoch: [43][9530/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8647 (1.8023) Prec@1 51.562 (59.034) Prec@5 82.031 (80.832) Epoch: [43][9540/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.5098 (1.8022) Prec@1 61.719 (59.037) Prec@5 85.156 (80.832) Epoch: [43][9550/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7865 (1.8022) Prec@1 57.812 (59.036) Prec@5 81.250 (80.833) Epoch: [43][9560/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 2.1916 (1.8022) Prec@1 53.125 (59.037) Prec@5 77.344 (80.835) Epoch: [43][9570/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6410 (1.8021) Prec@1 62.500 (59.038) Prec@5 84.375 (80.834) /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][9580/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7761 (1.8021) Prec@1 57.812 (59.039) Prec@5 81.250 (80.833) Epoch: [43][9590/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9108 (1.8022) Prec@1 58.594 (59.037) Prec@5 78.906 (80.832) Epoch: [43][9600/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7828 (1.8023) Prec@1 57.031 (59.035) Prec@5 78.125 (80.830) Epoch: [43][9610/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.4942 (1.8022) Prec@1 64.062 (59.036) Prec@5 85.156 (80.831) Epoch: [43][9620/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.2766 (1.8022) Prec@1 48.438 (59.035) Prec@5 74.219 (80.832) Epoch: [43][9630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7282 (1.8022) Prec@1 57.812 (59.036) Prec@5 79.688 (80.833) Epoch: [43][9640/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7474 (1.8022) Prec@1 60.156 (59.034) Prec@5 83.594 (80.833) Epoch: [43][9650/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8560 (1.8022) Prec@1 61.719 (59.035) Prec@5 76.562 (80.834) Epoch: [43][9660/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9110 (1.8021) Prec@1 59.375 (59.037) Prec@5 80.469 (80.835) Epoch: [43][9670/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7278 (1.8022) Prec@1 59.375 (59.034) Prec@5 78.906 (80.833) Epoch: [43][9680/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7457 (1.8022) Prec@1 60.156 (59.036) Prec@5 83.594 (80.835) Epoch: [43][9690/10010] Time 0.309 (0.331) Data 0.000 (0.001) Loss 1.8733 (1.8022) Prec@1 59.375 (59.038) Prec@5 75.000 (80.835) Epoch: [43][9700/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8918 (1.8022) Prec@1 61.719 (59.038) Prec@5 80.469 (80.833) Epoch: [43][9710/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0914 (1.8022) Prec@1 52.344 (59.037) Prec@5 75.000 (80.832) Epoch: [43][9720/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7218 (1.8023) Prec@1 57.812 (59.037) Prec@5 82.031 (80.832) Epoch: [43][9730/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7911 (1.8022) Prec@1 57.812 (59.039) Prec@5 78.906 (80.833) Epoch: [43][9740/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7338 (1.8022) Prec@1 63.281 (59.041) Prec@5 82.031 (80.833) Epoch: [43][9750/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0575 (1.8023) Prec@1 54.688 (59.039) Prec@5 76.562 (80.832) Epoch: [43][9760/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.7161 (1.8023) Prec@1 62.500 (59.039) Prec@5 81.250 (80.831) Epoch: [43][9770/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9636 (1.8023) Prec@1 57.031 (59.039) Prec@5 75.781 (80.830) Epoch: [43][9780/10010] Time 0.356 (0.331) Data 0.000 (0.001) Loss 1.6040 (1.8023) Prec@1 60.156 (59.040) Prec@5 84.375 (80.831) Epoch: [43][9790/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0522 (1.8022) Prec@1 55.469 (59.042) Prec@5 79.688 (80.834) Epoch: [43][9800/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8681 (1.8022) Prec@1 57.812 (59.043) Prec@5 78.906 (80.834) Epoch: [43][9810/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5380 (1.8022) Prec@1 67.188 (59.043) Prec@5 82.812 (80.833) Epoch: [43][9820/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9144 (1.8022) Prec@1 59.375 (59.041) Prec@5 82.812 (80.834) Epoch: [43][9830/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.3811 (1.8022) Prec@1 47.656 (59.041) Prec@5 74.219 (80.833) Epoch: [43][9840/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0296 (1.8023) Prec@1 53.906 (59.039) Prec@5 77.344 (80.832) Epoch: [43][9850/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0152 (1.8024) Prec@1 56.250 (59.038) Prec@5 77.344 (80.831) Epoch: [43][9860/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.1947 (1.8025) Prec@1 59.375 (59.037) Prec@5 76.562 (80.829) Epoch: [43][9870/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 2.0975 (1.8024) Prec@1 51.562 (59.039) Prec@5 77.344 (80.829) Epoch: [43][9880/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4925 (1.8024) Prec@1 65.625 (59.039) Prec@5 85.156 (80.828) Epoch: [43][9890/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7425 (1.8025) Prec@1 57.031 (59.037) Prec@5 82.812 (80.826) Epoch: [43][9900/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7938 (1.8026) Prec@1 55.469 (59.036) Prec@5 82.812 (80.824) Epoch: [43][9910/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9171 (1.8026) Prec@1 55.469 (59.035) Prec@5 82.031 (80.825) Epoch: [43][9920/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9033 (1.8027) Prec@1 60.156 (59.034) Prec@5 78.906 (80.824) Epoch: [43][9930/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7503 (1.8026) Prec@1 61.719 (59.036) Prec@5 83.594 (80.824) Epoch: [43][9940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6104 (1.8026) Prec@1 57.812 (59.037) Prec@5 82.812 (80.825) Epoch: [43][9950/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.4640 (1.8025) Prec@1 66.406 (59.038) Prec@5 87.500 (80.826) Epoch: [43][9960/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8502 (1.8025) Prec@1 58.594 (59.039) Prec@5 79.688 (80.825) Epoch: [43][9970/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8912 (1.8025) Prec@1 52.344 (59.040) Prec@5 80.469 (80.826) Epoch: [43][9980/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9291 (1.8024) Prec@1 57.812 (59.041) Prec@5 80.469 (80.827) Epoch: [43][9990/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5384 (1.8023) Prec@1 60.938 (59.042) Prec@5 84.375 (80.829) Epoch: [43][10000/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.6734 (1.8023) Prec@1 62.500 (59.041) Prec@5 80.469 (80.828) Test: [0/391] Time 1.560 (1.560) Loss 0.7883 (0.7883) Prec@1 82.031 (82.031) Prec@5 95.312 (95.312) Test: [10/391] Time 0.107 (0.241) Loss 1.3835 (0.8193) Prec@1 65.625 (79.474) Prec@5 87.500 (93.821) Test: [20/391] Time 0.104 (0.181) Loss 1.0655 (1.1086) Prec@1 72.656 (72.321) Prec@5 89.062 (90.327) Test: [30/391] Time 0.118 (0.157) Loss 1.8712 (1.2757) Prec@1 60.156 (68.019) Prec@5 82.031 (89.062) Test: [40/391] Time 0.108 (0.148) Loss 1.3693 (1.1609) Prec@1 69.531 (71.227) Prec@5 87.500 (90.053) Test: [50/391] Time 0.109 (0.140) Loss 0.5598 (1.2087) Prec@1 84.375 (70.711) Prec@5 96.094 (89.292) Test: [60/391] Time 0.105 (0.135) Loss 1.4543 (1.1538) Prec@1 61.719 (71.747) Prec@5 85.156 (89.844) Test: [70/391] Time 0.109 (0.131) Loss 1.3289 (1.2091) Prec@1 64.062 (70.026) Prec@5 94.531 (89.547) Test: [80/391] Time 0.105 (0.128) Loss 1.1557 (1.2350) Prec@1 75.000 (68.924) Prec@5 89.062 (89.603) Test: [90/391] Time 0.108 (0.127) Loss 1.1917 (1.2345) Prec@1 56.250 (68.956) Prec@5 95.312 (89.749) Test: [100/391] Time 0.115 (0.125) Loss 1.3144 (1.2367) Prec@1 65.625 (68.294) Prec@5 92.188 (89.991) Test: [110/391] Time 0.103 (0.124) Loss 1.8350 (1.2373) Prec@1 46.094 (68.053) Prec@5 85.938 (90.104) Test: [120/391] Time 0.102 (0.122) Loss 1.0714 (1.2265) Prec@1 73.438 (68.298) Prec@5 92.969 (90.276) Test: [130/391] Time 0.112 (0.121) Loss 0.7223 (1.2274) Prec@1 85.156 (68.589) Prec@5 94.531 (90.196) Test: [140/391] Time 0.112 (0.120) Loss 1.7599 (1.2195) Prec@1 51.562 (68.739) Prec@5 86.719 (90.315) Test: [150/391] Time 0.110 (0.120) Loss 1.3917 (1.2272) Prec@1 54.688 (68.667) Prec@5 86.719 (90.139) Test: [160/391] Time 0.105 (0.119) Loss 1.4949 (1.2362) Prec@1 59.375 (68.512) Prec@5 86.719 (90.004) Test: [170/391] Time 0.107 (0.118) Loss 1.7467 (1.2696) Prec@1 54.688 (67.923) Prec@5 86.719 (89.570) Test: [180/391] Time 0.118 (0.118) Loss 2.1692 (1.3040) Prec@1 49.219 (67.183) Prec@5 82.031 (89.136) Test: [190/391] Time 0.101 (0.117) Loss 2.4587 (1.3443) Prec@1 44.531 (66.357) Prec@5 79.688 (88.580) Test: [200/391] Time 0.105 (0.116) Loss 1.7610 (1.3807) Prec@1 55.469 (65.683) Prec@5 78.906 (88.001) Test: [210/391] Time 0.111 (0.116) Loss 1.8252 (1.4019) Prec@1 59.375 (65.281) Prec@5 83.594 (87.781) Test: [220/391] Time 0.109 (0.115) Loss 0.9635 (1.4134) Prec@1 78.125 (65.194) Prec@5 91.406 (87.528) Test: [230/391] Time 0.109 (0.115) Loss 2.2980 (1.4262) Prec@1 48.438 (65.006) Prec@5 75.781 (87.328) Test: [240/391] Time 0.104 (0.115) Loss 1.5490 (1.4313) Prec@1 67.188 (65.029) Prec@5 83.594 (87.234) Test: [250/391] Time 0.103 (0.115) Loss 1.0085 (1.4617) Prec@1 77.344 (64.392) Prec@5 88.281 (86.787) Test: [260/391] Time 0.106 (0.114) Loss 1.6087 (1.4770) Prec@1 64.062 (64.128) Prec@5 82.812 (86.623) Test: [270/391] Time 0.103 (0.114) Loss 2.1950 (1.4845) Prec@1 50.781 (63.947) Prec@5 75.000 (86.500) Test: [280/391] Time 0.103 (0.114) Loss 1.5688 (1.4949) Prec@1 56.250 (63.815) Prec@5 86.719 (86.349) Test: [290/391] Time 0.106 (0.113) Loss 2.0168 (1.5046) Prec@1 34.375 (63.603) Prec@5 85.156 (86.155) Test: [300/391] Time 0.107 (0.113) Loss 1.5418 (1.5141) Prec@1 67.188 (63.491) Prec@5 87.500 (86.000) Test: [310/391] Time 0.110 (0.113) Loss 1.7913 (1.5213) Prec@1 60.156 (63.409) Prec@5 80.469 (85.850) Test: [320/391] Time 0.108 (0.113) Loss 0.7871 (1.5279) Prec@1 85.938 (63.386) Prec@5 94.531 (85.774) Test: [330/391] Time 0.103 (0.113) Loss 2.1428 (1.5481) Prec@1 53.906 (62.974) Prec@5 75.781 (85.465) Test: [340/391] Time 0.104 (0.112) Loss 1.6712 (1.5554) Prec@1 50.781 (62.773) Prec@5 86.719 (85.353) Test: [350/391] Time 0.111 (0.112) Loss 1.6812 (1.5627) Prec@1 57.812 (62.627) Prec@5 82.812 (85.223) Test: [360/391] Time 0.101 (0.112) Loss 1.8476 (1.5720) Prec@1 50.781 (62.405) Prec@5 81.250 (85.119) Test: [370/391] Time 0.103 (0.112) Loss 1.2283 (1.5674) Prec@1 60.938 (62.447) Prec@5 92.969 (85.192) Test: [380/391] Time 0.100 (0.112) Loss 1.0404 (1.5661) Prec@1 75.000 (62.486) Prec@5 92.969 (85.179) Test: [390/391] Time 0.068 (0.112) Loss 2.1244 (1.5565) Prec@1 40.000 (62.692) Prec@5 77.500 (85.306) * Prec@1 62.692 Prec@5 85.306 Epoch: [44][0/10010] Time 2.911 (2.911) Data 2.731 (2.731) Loss 1.8416 (1.8416) Prec@1 57.031 (57.031) Prec@5 78.906 (78.906) Epoch: [44][10/10010] Time 0.313 (0.557) Data 0.003 (0.261) Loss 2.0962 (1.7963) Prec@1 53.906 (59.446) Prec@5 75.781 (80.398) Epoch: [44][20/10010] Time 0.322 (0.445) Data 0.000 (0.137) Loss 1.3130 (1.8139) Prec@1 66.406 (58.966) Prec@5 89.062 (80.060) Epoch: [44][30/10010] Time 0.317 (0.405) Data 0.000 (0.093) Loss 1.7464 (1.8022) Prec@1 65.625 (59.249) Prec@5 78.125 (80.343) Epoch: [44][40/10010] Time 0.324 (0.385) Data 0.000 (0.070) Loss 1.8014 (1.7912) Prec@1 58.594 (59.489) Prec@5 82.031 (80.831) Epoch: [44][50/10010] Time 0.338 (0.374) Data 0.000 (0.057) Loss 1.7684 (1.7796) Prec@1 60.938 (59.819) Prec@5 77.344 (80.867) Epoch: [44][60/10010] Time 0.323 (0.367) Data 0.000 (0.047) Loss 1.8488 (1.7815) Prec@1 58.594 (59.554) Prec@5 82.031 (81.071) Epoch: [44][70/10010] Time 0.328 (0.362) Data 0.001 (0.041) Loss 1.8488 (1.7567) Prec@1 56.250 (60.134) Prec@5 79.688 (81.415) Epoch: [44][80/10010] Time 0.324 (0.358) Data 0.000 (0.036) Loss 1.5814 (1.7624) Prec@1 61.719 (60.127) Prec@5 91.406 (81.395) Epoch: [44][90/10010] Time 0.321 (0.354) Data 0.001 (0.032) Loss 1.7122 (1.7567) Prec@1 52.344 (60.027) Prec@5 84.375 (81.508) Epoch: [44][100/10010] Time 0.321 (0.352) Data 0.001 (0.029) Loss 1.8070 (1.7524) Prec@1 55.469 (59.855) Prec@5 82.812 (81.644) Epoch: [44][110/10010] Time 0.323 (0.349) Data 0.001 (0.026) Loss 1.9782 (1.7690) Prec@1 55.469 (59.466) Prec@5 78.125 (81.327) Epoch: [44][120/10010] Time 0.331 (0.347) Data 0.000 (0.024) Loss 1.7319 (1.7670) Prec@1 54.688 (59.504) Prec@5 82.812 (81.418) Epoch: [44][130/10010] Time 0.342 (0.346) Data 0.000 (0.022) Loss 2.1320 (1.7732) Prec@1 57.812 (59.345) Prec@5 79.688 (81.459) Epoch: [44][140/10010] Time 0.347 (0.345) Data 0.000 (0.021) Loss 1.5052 (1.7724) Prec@1 68.750 (59.342) Prec@5 86.719 (81.505) Epoch: [44][150/10010] Time 0.351 (0.345) Data 0.000 (0.020) Loss 1.8566 (1.7707) Prec@1 59.375 (59.385) Prec@5 78.906 (81.447) Epoch: [44][160/10010] Time 0.329 (0.344) Data 0.001 (0.018) Loss 1.7512 (1.7721) Prec@1 59.375 (59.283) Prec@5 82.031 (81.464) Epoch: [44][170/10010] Time 0.327 (0.343) Data 0.000 (0.017) Loss 1.5909 (1.7711) Prec@1 60.938 (59.284) Prec@5 85.156 (81.460) Epoch: [44][180/10010] Time 0.324 (0.342) Data 0.001 (0.016) Loss 1.9556 (1.7735) Prec@1 55.469 (59.310) Prec@5 80.469 (81.410) Epoch: [44][190/10010] Time 0.336 (0.341) Data 0.000 (0.016) Loss 1.6191 (1.7691) Prec@1 63.281 (59.379) Prec@5 82.812 (81.495) Epoch: [44][200/10010] Time 0.352 (0.341) Data 0.000 (0.015) Loss 1.3909 (1.7647) Prec@1 67.969 (59.507) Prec@5 84.375 (81.526) Epoch: [44][210/10010] Time 0.326 (0.340) Data 0.000 (0.014) Loss 1.6625 (1.7653) Prec@1 61.719 (59.449) Prec@5 84.375 (81.528) Epoch: [44][220/10010] Time 0.342 (0.340) Data 0.000 (0.014) Loss 1.8703 (1.7729) Prec@1 59.375 (59.456) Prec@5 78.906 (81.381) /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][230/10010] Time 0.342 (0.340) Data 0.001 (0.013) Loss 1.7151 (1.7676) Prec@1 60.156 (59.588) Prec@5 82.812 (81.412) Epoch: [44][240/10010] Time 0.327 (0.339) Data 0.001 (0.012) Loss 1.6103 (1.7669) Prec@1 61.719 (59.560) Prec@5 86.719 (81.483) Epoch: [44][250/10010] Time 0.337 (0.339) Data 0.000 (0.012) Loss 1.6845 (1.7661) Prec@1 57.812 (59.577) Prec@5 85.156 (81.499) Epoch: [44][260/10010] Time 0.321 (0.339) Data 0.001 (0.012) Loss 1.7030 (1.7686) Prec@1 59.375 (59.519) Prec@5 81.250 (81.474) Epoch: [44][270/10010] Time 0.344 (0.338) Data 0.001 (0.011) Loss 2.0955 (1.7680) Prec@1 56.250 (59.554) Prec@5 75.781 (81.507) Epoch: [44][280/10010] Time 0.332 (0.338) Data 0.001 (0.011) Loss 1.6821 (1.7691) Prec@1 60.156 (59.586) Prec@5 81.250 (81.481) Epoch: [44][290/10010] Time 0.330 (0.338) Data 0.000 (0.010) Loss 1.9357 (1.7701) Prec@1 56.250 (59.571) Prec@5 78.906 (81.484) Epoch: [44][300/10010] Time 0.342 (0.338) Data 0.001 (0.010) Loss 1.8155 (1.7729) Prec@1 60.156 (59.526) Prec@5 82.031 (81.465) Epoch: [44][310/10010] Time 0.328 (0.338) Data 0.001 (0.010) Loss 2.0279 (1.7727) Prec@1 56.250 (59.586) Prec@5 75.781 (81.448) Epoch: [44][320/10010] Time 0.337 (0.338) Data 0.000 (0.009) Loss 1.8118 (1.7735) Prec@1 65.625 (59.606) Prec@5 82.812 (81.450) Epoch: [44][330/10010] Time 0.343 (0.338) Data 0.001 (0.009) Loss 1.3904 (1.7738) Prec@1 67.969 (59.587) Prec@5 85.938 (81.429) Epoch: [44][340/10010] Time 0.342 (0.338) Data 0.001 (0.009) Loss 2.0104 (1.7773) Prec@1 50.781 (59.519) Prec@5 78.906 (81.385) Epoch: [44][350/10010] Time 0.322 (0.338) Data 0.000 (0.009) Loss 1.7796 (1.7791) Prec@1 60.156 (59.448) Prec@5 80.469 (81.348) Epoch: [44][360/10010] Time 0.334 (0.337) Data 0.000 (0.009) Loss 1.9426 (1.7804) Prec@1 53.906 (59.466) Prec@5 78.125 (81.289) Epoch: [44][370/10010] Time 0.316 (0.337) Data 0.000 (0.008) Loss 1.8971 (1.7797) Prec@1 58.594 (59.489) Prec@5 79.688 (81.315) Epoch: [44][380/10010] Time 0.327 (0.337) Data 0.001 (0.008) Loss 1.8793 (1.7822) Prec@1 59.375 (59.480) Prec@5 78.125 (81.295) Epoch: [44][390/10010] Time 0.345 (0.337) Data 0.001 (0.008) Loss 1.7748 (1.7833) Prec@1 58.594 (59.451) Prec@5 81.250 (81.266) Epoch: [44][400/10010] Time 0.340 (0.337) Data 0.000 (0.008) Loss 1.6270 (1.7841) Prec@1 63.281 (59.457) Prec@5 86.719 (81.256) Epoch: [44][410/10010] Time 0.321 (0.337) Data 0.000 (0.008) Loss 1.7225 (1.7837) Prec@1 61.719 (59.468) Prec@5 82.031 (81.265) Epoch: [44][420/10010] Time 0.343 (0.337) Data 0.001 (0.007) Loss 1.7190 (1.7824) Prec@1 58.594 (59.477) Prec@5 80.469 (81.265) Epoch: [44][430/10010] Time 0.321 (0.337) Data 0.000 (0.007) Loss 1.5717 (1.7816) Prec@1 66.406 (59.533) Prec@5 83.594 (81.277) Epoch: [44][440/10010] Time 0.348 (0.337) Data 0.000 (0.007) Loss 1.5058 (1.7827) Prec@1 60.156 (59.490) Prec@5 84.375 (81.225) Epoch: [44][450/10010] Time 0.329 (0.337) Data 0.000 (0.007) Loss 2.3161 (1.7841) Prec@1 49.219 (59.470) Prec@5 73.438 (81.196) Epoch: [44][460/10010] Time 0.317 (0.336) Data 0.001 (0.007) Loss 1.4494 (1.7826) Prec@1 65.625 (59.511) Prec@5 83.594 (81.214) Epoch: [44][470/10010] Time 0.339 (0.336) Data 0.000 (0.007) Loss 1.8776 (1.7836) Prec@1 61.719 (59.519) Prec@5 78.125 (81.205) Epoch: [44][480/10010] Time 0.336 (0.336) Data 0.000 (0.007) Loss 1.9348 (1.7831) Prec@1 54.688 (59.533) Prec@5 80.469 (81.213) Epoch: [44][490/10010] Time 0.341 (0.336) Data 0.001 (0.006) Loss 1.9462 (1.7842) Prec@1 57.031 (59.510) Prec@5 78.125 (81.170) Epoch: [44][500/10010] Time 0.332 (0.336) Data 0.001 (0.006) Loss 1.5599 (1.7842) Prec@1 63.281 (59.512) Prec@5 84.375 (81.163) Epoch: [44][510/10010] Time 0.325 (0.336) Data 0.000 (0.006) Loss 1.4151 (1.7836) Prec@1 66.406 (59.502) Prec@5 84.375 (81.164) Epoch: [44][520/10010] Time 0.339 (0.336) Data 0.000 (0.006) Loss 1.7904 (1.7832) Prec@1 57.031 (59.505) Prec@5 82.812 (81.184) Epoch: [44][530/10010] Time 0.333 (0.336) Data 0.001 (0.006) Loss 1.9537 (1.7822) Prec@1 59.375 (59.513) Prec@5 78.125 (81.200) Epoch: [44][540/10010] Time 0.342 (0.336) Data 0.000 (0.006) Loss 1.8790 (1.7834) Prec@1 60.938 (59.524) Prec@5 78.125 (81.178) Epoch: [44][550/10010] Time 0.328 (0.336) Data 0.000 (0.006) Loss 1.7962 (1.7821) Prec@1 60.156 (59.544) Prec@5 78.906 (81.209) Epoch: [44][560/10010] Time 0.331 (0.336) Data 0.000 (0.006) Loss 1.9212 (1.7827) Prec@1 57.812 (59.503) Prec@5 78.906 (81.200) Epoch: [44][570/10010] Time 0.321 (0.336) Data 0.000 (0.006) Loss 1.6019 (1.7810) Prec@1 60.938 (59.510) Prec@5 83.594 (81.224) Epoch: [44][580/10010] Time 0.324 (0.336) Data 0.001 (0.006) Loss 2.1699 (1.7799) Prec@1 55.469 (59.546) Prec@5 76.562 (81.227) Epoch: [44][590/10010] Time 0.323 (0.335) Data 0.000 (0.005) Loss 1.9654 (1.7804) Prec@1 57.812 (59.531) Prec@5 79.688 (81.224) Epoch: [44][600/10010] Time 0.347 (0.335) Data 0.001 (0.005) Loss 1.6541 (1.7795) Prec@1 65.625 (59.561) Prec@5 83.594 (81.229) Epoch: [44][610/10010] Time 0.318 (0.335) Data 0.000 (0.005) Loss 1.4390 (1.7784) Prec@1 65.625 (59.594) Prec@5 88.281 (81.242) Epoch: [44][620/10010] Time 0.328 (0.335) Data 0.001 (0.005) Loss 2.0554 (1.7778) Prec@1 57.812 (59.593) Prec@5 77.344 (81.245) Epoch: [44][630/10010] Time 0.329 (0.335) Data 0.000 (0.005) Loss 2.0180 (1.7796) Prec@1 58.594 (59.587) Prec@5 76.562 (81.226) Epoch: [44][640/10010] Time 0.335 (0.335) Data 0.001 (0.005) Loss 1.7538 (1.7804) Prec@1 57.031 (59.571) Prec@5 78.906 (81.223) Epoch: [44][650/10010] Time 0.346 (0.335) Data 0.000 (0.005) Loss 1.6044 (1.7796) Prec@1 63.281 (59.593) Prec@5 82.031 (81.231) Epoch: [44][660/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 1.6419 (1.7798) Prec@1 61.719 (59.579) Prec@5 85.938 (81.217) Epoch: [44][670/10010] Time 0.343 (0.335) Data 0.000 (0.005) Loss 1.6018 (1.7785) Prec@1 62.500 (59.595) Prec@5 85.938 (81.229) Epoch: [44][680/10010] Time 0.327 (0.335) Data 0.001 (0.005) Loss 1.5793 (1.7788) Prec@1 64.844 (59.581) Prec@5 81.250 (81.217) Epoch: [44][690/10010] Time 0.324 (0.335) Data 0.001 (0.005) Loss 1.5970 (1.7796) Prec@1 67.969 (59.553) Prec@5 85.938 (81.214) Epoch: [44][700/10010] Time 0.328 (0.335) Data 0.001 (0.005) Loss 1.6356 (1.7805) Prec@1 67.188 (59.507) Prec@5 82.031 (81.200) Epoch: [44][710/10010] Time 0.329 (0.334) Data 0.000 (0.005) Loss 1.9590 (1.7802) Prec@1 58.594 (59.512) Prec@5 80.469 (81.208) Epoch: [44][720/10010] Time 0.341 (0.334) Data 0.000 (0.005) Loss 1.9362 (1.7796) Prec@1 58.594 (59.529) Prec@5 78.906 (81.212) Epoch: [44][730/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 1.7225 (1.7788) Prec@1 60.938 (59.516) Prec@5 82.031 (81.224) Epoch: [44][740/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 1.8846 (1.7808) Prec@1 57.812 (59.478) Prec@5 79.688 (81.197) Epoch: [44][750/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 1.9834 (1.7810) Prec@1 53.906 (59.452) Prec@5 78.125 (81.195) Epoch: [44][760/10010] Time 0.338 (0.334) Data 0.001 (0.004) Loss 1.8612 (1.7821) Prec@1 59.375 (59.453) Prec@5 77.344 (81.174) Epoch: [44][770/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 1.7342 (1.7817) Prec@1 60.938 (59.461) Prec@5 82.031 (81.176) Epoch: [44][780/10010] Time 0.336 (0.334) Data 0.000 (0.004) Loss 1.6556 (1.7829) Prec@1 63.281 (59.419) Prec@5 82.031 (81.168) Epoch: [44][790/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 1.7568 (1.7825) Prec@1 63.281 (59.431) Prec@5 81.250 (81.171) Epoch: [44][800/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 1.8931 (1.7830) Prec@1 56.250 (59.413) Prec@5 81.250 (81.158) Epoch: [44][810/10010] Time 0.346 (0.334) Data 0.001 (0.004) Loss 1.9135 (1.7826) Prec@1 54.688 (59.427) Prec@5 83.594 (81.167) Epoch: [44][820/10010] Time 0.323 (0.334) Data 0.001 (0.004) Loss 1.5594 (1.7824) Prec@1 62.500 (59.439) Prec@5 85.938 (81.177) Epoch: [44][830/10010] Time 0.315 (0.334) Data 0.001 (0.004) Loss 1.9888 (1.7819) Prec@1 53.906 (59.439) Prec@5 79.688 (81.191) Epoch: [44][840/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 1.6065 (1.7809) Prec@1 64.844 (59.469) Prec@5 82.812 (81.204) Epoch: [44][850/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 1.6196 (1.7807) Prec@1 62.500 (59.462) Prec@5 84.375 (81.208) Epoch: [44][860/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 1.7770 (1.7803) Prec@1 60.938 (59.453) Prec@5 82.031 (81.220) Epoch: [44][870/10010] Time 0.323 (0.334) Data 0.000 (0.004) Loss 1.7214 (1.7803) Prec@1 58.594 (59.451) Prec@5 80.469 (81.215) Epoch: [44][880/10010] Time 0.345 (0.334) Data 0.000 (0.004) Loss 1.6075 (1.7799) Prec@1 62.500 (59.465) Prec@5 84.375 (81.227) Epoch: [44][890/10010] Time 0.329 (0.333) Data 0.001 (0.004) Loss 1.5648 (1.7792) Prec@1 66.406 (59.484) Prec@5 85.938 (81.233) Epoch: [44][900/10010] Time 0.333 (0.334) Data 0.000 (0.004) Loss 1.6553 (1.7784) Prec@1 63.281 (59.497) Prec@5 81.250 (81.247) Epoch: [44][910/10010] Time 0.326 (0.333) Data 0.000 (0.004) Loss 1.6350 (1.7789) Prec@1 69.531 (59.486) Prec@5 85.938 (81.243) Epoch: [44][920/10010] Time 0.314 (0.333) Data 0.001 (0.004) Loss 1.7607 (1.7781) Prec@1 64.844 (59.506) Prec@5 82.031 (81.257) Epoch: [44][930/10010] Time 0.315 (0.333) Data 0.000 (0.004) Loss 1.4873 (1.7774) Prec@1 68.750 (59.534) Prec@5 85.938 (81.268) Epoch: [44][940/10010] Time 0.328 (0.333) Data 0.001 (0.004) Loss 1.7806 (1.7774) Prec@1 55.469 (59.521) Prec@5 80.469 (81.263) Epoch: [44][950/10010] Time 0.335 (0.333) Data 0.000 (0.004) Loss 1.5571 (1.7774) Prec@1 65.625 (59.530) Prec@5 81.250 (81.246) Epoch: [44][960/10010] Time 0.324 (0.333) Data 0.004 (0.004) Loss 1.4277 (1.7768) Prec@1 65.625 (59.539) Prec@5 86.719 (81.269) Epoch: [44][970/10010] Time 0.339 (0.333) Data 0.000 (0.004) Loss 1.7757 (1.7761) Prec@1 57.031 (59.558) Prec@5 84.375 (81.286) Epoch: [44][980/10010] Time 0.324 (0.333) Data 0.000 (0.004) Loss 1.5643 (1.7762) Prec@1 67.188 (59.565) Prec@5 87.500 (81.286) Epoch: [44][990/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 1.6482 (1.7764) Prec@1 61.719 (59.559) Prec@5 83.594 (81.284) Epoch: [44][1000/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.6755 (1.7766) Prec@1 64.062 (59.554) Prec@5 83.594 (81.281) Epoch: [44][1010/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.6096 (1.7759) Prec@1 64.844 (59.564) Prec@5 82.031 (81.292) Epoch: [44][1020/10010] Time 0.313 (0.333) Data 0.001 (0.003) Loss 1.7888 (1.7762) Prec@1 60.938 (59.559) Prec@5 81.250 (81.290) Epoch: [44][1030/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 1.5899 (1.7755) Prec@1 61.719 (59.577) Prec@5 85.156 (81.301) Epoch: [44][1040/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.7005 (1.7744) Prec@1 64.062 (59.602) Prec@5 81.250 (81.320) Epoch: [44][1050/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 1.5327 (1.7729) Prec@1 64.062 (59.650) Prec@5 86.719 (81.344) Epoch: [44][1060/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 1.6162 (1.7736) Prec@1 61.719 (59.625) Prec@5 85.938 (81.335) Epoch: [44][1070/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.6514 (1.7733) Prec@1 62.500 (59.636) Prec@5 81.250 (81.338) Epoch: [44][1080/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.8025 (1.7739) Prec@1 60.156 (59.619) Prec@5 82.031 (81.333) Epoch: [44][1090/10010] Time 0.314 (0.333) Data 0.001 (0.003) Loss 1.9094 (1.7741) Prec@1 59.375 (59.611) Prec@5 81.250 (81.329) Epoch: [44][1100/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.9715 (1.7738) Prec@1 57.812 (59.625) Prec@5 75.781 (81.334) Epoch: [44][1110/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 1.7172 (1.7740) Prec@1 56.250 (59.615) Prec@5 85.156 (81.337) Epoch: [44][1120/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 2.0618 (1.7739) Prec@1 54.688 (59.614) Prec@5 77.344 (81.345) Epoch: [44][1130/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 1.8023 (1.7739) Prec@1 53.906 (59.614) Prec@5 82.031 (81.344) Epoch: [44][1140/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.8175 (1.7733) Prec@1 54.688 (59.613) Prec@5 76.562 (81.351) Epoch: [44][1150/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.8127 (1.7722) Prec@1 59.375 (59.637) Prec@5 79.688 (81.374) Epoch: [44][1160/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 1.5090 (1.7733) Prec@1 67.188 (59.621) Prec@5 85.156 (81.356) Epoch: [44][1170/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 1.8404 (1.7737) Prec@1 54.688 (59.617) Prec@5 78.906 (81.357) Epoch: [44][1180/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 1.6805 (1.7739) Prec@1 60.156 (59.623) Prec@5 81.250 (81.350) Epoch: [44][1190/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 1.6330 (1.7741) Prec@1 63.281 (59.624) Prec@5 82.031 (81.347) Epoch: [44][1200/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 1.7471 (1.7742) Prec@1 61.719 (59.625) Prec@5 83.594 (81.344) Epoch: [44][1210/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 2.0184 (1.7748) Prec@1 53.906 (59.608) Prec@5 79.688 (81.329) Epoch: [44][1220/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 1.6538 (1.7751) Prec@1 60.938 (59.598) Prec@5 84.375 (81.320) Epoch: [44][1230/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.6037 (1.7749) Prec@1 65.625 (59.603) Prec@5 82.812 (81.326) Epoch: [44][1240/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.9465 (1.7745) Prec@1 59.375 (59.609) Prec@5 78.125 (81.325) Epoch: [44][1250/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 1.6100 (1.7743) Prec@1 63.281 (59.619) Prec@5 83.594 (81.322) Epoch: [44][1260/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 2.0051 (1.7749) Prec@1 53.125 (59.607) Prec@5 74.219 (81.311) Epoch: [44][1270/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 1.7451 (1.7745) Prec@1 59.375 (59.610) Prec@5 80.469 (81.317) Epoch: [44][1280/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.8698 (1.7754) Prec@1 51.562 (59.582) Prec@5 80.469 (81.298) Epoch: [44][1290/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 2.0954 (1.7760) Prec@1 53.125 (59.569) Prec@5 76.562 (81.286) Epoch: [44][1300/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 2.0346 (1.7773) Prec@1 55.469 (59.540) Prec@5 78.125 (81.277) Epoch: [44][1310/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 1.8570 (1.7780) Prec@1 60.938 (59.541) Prec@5 78.125 (81.271) Epoch: [44][1320/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.0275 (1.7784) Prec@1 53.906 (59.529) Prec@5 82.031 (81.268) Epoch: [44][1330/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 1.7037 (1.7782) Prec@1 57.031 (59.534) Prec@5 83.594 (81.281) Epoch: [44][1340/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 1.6422 (1.7787) Prec@1 64.062 (59.523) Prec@5 80.469 (81.265) Epoch: [44][1350/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 1.9479 (1.7789) Prec@1 54.688 (59.511) Prec@5 79.688 (81.262) Epoch: [44][1360/10010] Time 0.339 (0.332) Data 0.001 (0.003) Loss 1.8166 (1.7789) Prec@1 54.688 (59.506) Prec@5 80.469 (81.264) Epoch: [44][1370/10010] Time 0.342 (0.332) Data 0.000 (0.003) Loss 1.8791 (1.7786) Prec@1 57.031 (59.507) Prec@5 78.906 (81.264) Epoch: [44][1380/10010] Time 0.329 (0.332) Data 0.001 (0.003) Loss 1.8324 (1.7786) Prec@1 57.812 (59.493) Prec@5 78.906 (81.264) Epoch: [44][1390/10010] Time 0.323 (0.332) Data 0.000 (0.003) Loss 1.9622 (1.7789) Prec@1 61.719 (59.493) Prec@5 74.219 (81.253) Epoch: [44][1400/10010] Time 0.324 (0.332) Data 0.000 (0.003) Loss 1.7844 (1.7792) Prec@1 54.688 (59.476) Prec@5 83.594 (81.240) Epoch: [44][1410/10010] Time 0.322 (0.332) Data 0.001 (0.003) Loss 1.8759 (1.7796) Prec@1 59.375 (59.465) Prec@5 79.688 (81.236) Epoch: [44][1420/10010] Time 0.328 (0.332) Data 0.000 (0.003) Loss 1.7736 (1.7801) Prec@1 60.156 (59.465) Prec@5 80.469 (81.228) Epoch: [44][1430/10010] Time 0.331 (0.332) Data 0.000 (0.003) Loss 1.5511 (1.7797) Prec@1 64.062 (59.475) Prec@5 85.156 (81.232) Epoch: [44][1440/10010] Time 0.317 (0.332) Data 0.000 (0.003) Loss 1.6839 (1.7796) Prec@1 59.375 (59.479) Prec@5 81.250 (81.229) Epoch: [44][1450/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 1.7108 (1.7791) Prec@1 57.812 (59.494) Prec@5 81.250 (81.241) Epoch: [44][1460/10010] Time 0.334 (0.332) Data 0.000 (0.003) Loss 1.6400 (1.7793) Prec@1 60.938 (59.488) Prec@5 81.250 (81.232) Epoch: [44][1470/10010] Time 0.326 (0.332) Data 0.000 (0.003) Loss 1.4309 (1.7796) Prec@1 67.969 (59.476) Prec@5 86.719 (81.227) Epoch: [44][1480/10010] Time 0.319 (0.332) Data 0.001 (0.003) Loss 1.8062 (1.7797) Prec@1 59.375 (59.472) Prec@5 80.469 (81.226) Epoch: [44][1490/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.5864 (1.7802) Prec@1 63.281 (59.459) Prec@5 83.594 (81.216) Epoch: [44][1500/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7972 (1.7796) Prec@1 57.812 (59.473) Prec@5 81.250 (81.221) Epoch: [44][1510/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7023 (1.7799) Prec@1 63.281 (59.476) Prec@5 82.812 (81.216) Epoch: [44][1520/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.9076 (1.7809) Prec@1 57.812 (59.459) Prec@5 82.031 (81.204) Epoch: [44][1530/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.5824 (1.7809) Prec@1 58.594 (59.457) Prec@5 84.375 (81.204) Epoch: [44][1540/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 2.0045 (1.7808) Prec@1 55.469 (59.459) Prec@5 75.781 (81.207) Epoch: [44][1550/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.9001 (1.7806) Prec@1 52.344 (59.460) Prec@5 78.906 (81.212) Epoch: [44][1560/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.7289 (1.7811) Prec@1 58.594 (59.453) Prec@5 85.938 (81.208) Epoch: [44][1570/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.6158 (1.7814) Prec@1 67.969 (59.450) Prec@5 87.500 (81.210) Epoch: [44][1580/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.5579 (1.7812) Prec@1 60.938 (59.442) Prec@5 83.594 (81.215) Epoch: [44][1590/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.5190 (1.7807) Prec@1 63.281 (59.450) Prec@5 85.938 (81.220) Epoch: [44][1600/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.9251 (1.7803) Prec@1 56.250 (59.465) Prec@5 80.469 (81.225) Epoch: [44][1610/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.0302 (1.7801) Prec@1 54.688 (59.468) Prec@5 76.562 (81.223) Epoch: [44][1620/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.8640 (1.7800) Prec@1 58.594 (59.463) Prec@5 80.469 (81.227) Epoch: [44][1630/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.1592 (1.7805) Prec@1 52.344 (59.457) Prec@5 77.344 (81.228) /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][1640/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7249 (1.7808) Prec@1 60.156 (59.453) Prec@5 83.594 (81.229) Epoch: [44][1650/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.5774 (1.7806) Prec@1 66.406 (59.458) Prec@5 83.594 (81.232) Epoch: [44][1660/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7219 (1.7805) Prec@1 54.688 (59.453) Prec@5 82.812 (81.230) Epoch: [44][1670/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.9185 (1.7803) Prec@1 54.688 (59.462) Prec@5 78.125 (81.233) Epoch: [44][1680/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.9880 (1.7805) Prec@1 55.469 (59.462) Prec@5 82.031 (81.232) Epoch: [44][1690/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.0052 (1.7807) Prec@1 57.812 (59.460) Prec@5 77.344 (81.220) Epoch: [44][1700/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.6667 (1.7810) Prec@1 63.281 (59.450) Prec@5 82.031 (81.213) Epoch: [44][1710/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.8409 (1.7803) Prec@1 60.938 (59.460) Prec@5 79.688 (81.220) Epoch: [44][1720/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.1297 (1.7804) Prec@1 51.562 (59.451) Prec@5 77.344 (81.223) Epoch: [44][1730/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.1112 (1.7804) Prec@1 52.344 (59.447) Prec@5 75.000 (81.222) Epoch: [44][1740/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.7752 (1.7807) Prec@1 59.375 (59.439) Prec@5 83.594 (81.219) Epoch: [44][1750/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.4963 (1.7803) Prec@1 66.406 (59.444) Prec@5 89.062 (81.223) Epoch: [44][1760/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.7458 (1.7802) Prec@1 60.156 (59.438) Prec@5 80.469 (81.229) Epoch: [44][1770/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.5819 (1.7799) Prec@1 59.375 (59.446) Prec@5 85.156 (81.227) Epoch: [44][1780/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.8172 (1.7802) Prec@1 57.812 (59.439) Prec@5 79.688 (81.225) Epoch: [44][1790/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.4204 (1.7802) Prec@1 61.719 (59.441) Prec@5 85.156 (81.229) Epoch: [44][1800/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.0168 (1.7801) Prec@1 57.812 (59.443) Prec@5 75.781 (81.228) Epoch: [44][1810/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8925 (1.7804) Prec@1 58.594 (59.437) Prec@5 79.688 (81.228) Epoch: [44][1820/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.6886 (1.7802) Prec@1 56.250 (59.438) Prec@5 81.250 (81.231) Epoch: [44][1830/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.6488 (1.7805) Prec@1 56.250 (59.433) Prec@5 82.031 (81.230) Epoch: [44][1840/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.5630 (1.7804) Prec@1 66.406 (59.436) Prec@5 85.938 (81.232) Epoch: [44][1850/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.6129 (1.7798) Prec@1 60.938 (59.443) Prec@5 82.812 (81.247) Epoch: [44][1860/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.7250 (1.7793) Prec@1 59.375 (59.452) Prec@5 82.031 (81.255) Epoch: [44][1870/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.0502 (1.7796) Prec@1 52.344 (59.449) Prec@5 78.125 (81.255) Epoch: [44][1880/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.5525 (1.7799) Prec@1 67.969 (59.441) Prec@5 85.156 (81.247) Epoch: [44][1890/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 2.0415 (1.7801) Prec@1 55.469 (59.436) Prec@5 77.344 (81.248) Epoch: [44][1900/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.9360 (1.7804) Prec@1 57.812 (59.434) Prec@5 80.469 (81.244) Epoch: [44][1910/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.5889 (1.7807) Prec@1 59.375 (59.430) Prec@5 85.938 (81.242) Epoch: [44][1920/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.5855 (1.7803) Prec@1 62.500 (59.438) Prec@5 85.938 (81.252) Epoch: [44][1930/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.7232 (1.7806) Prec@1 57.031 (59.431) Prec@5 80.469 (81.248) Epoch: [44][1940/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.6573 (1.7803) Prec@1 61.719 (59.441) Prec@5 82.031 (81.254) Epoch: [44][1950/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.7090 (1.7799) Prec@1 64.844 (59.449) Prec@5 86.719 (81.261) Epoch: [44][1960/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.9525 (1.7803) Prec@1 57.031 (59.436) Prec@5 75.000 (81.252) Epoch: [44][1970/10010] Time 0.349 (0.332) Data 0.001 (0.002) Loss 1.8295 (1.7803) Prec@1 59.375 (59.437) Prec@5 78.906 (81.251) Epoch: [44][1980/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.7237 (1.7798) Prec@1 58.594 (59.446) Prec@5 85.938 (81.263) Epoch: [44][1990/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.8707 (1.7798) Prec@1 57.812 (59.449) Prec@5 79.688 (81.257) Epoch: [44][2000/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.7313 (1.7798) Prec@1 59.375 (59.450) Prec@5 78.906 (81.252) Epoch: [44][2010/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.1477 (1.7798) Prec@1 55.469 (59.447) Prec@5 77.344 (81.259) Epoch: [44][2020/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.4937 (1.7803) Prec@1 65.625 (59.440) Prec@5 86.719 (81.250) Epoch: [44][2030/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.9354 (1.7807) Prec@1 59.375 (59.439) Prec@5 79.688 (81.248) Epoch: [44][2040/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8693 (1.7812) Prec@1 57.812 (59.432) Prec@5 82.812 (81.240) Epoch: [44][2050/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 2.2040 (1.7811) Prec@1 50.000 (59.433) Prec@5 74.219 (81.237) Epoch: [44][2060/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.7311 (1.7814) Prec@1 60.156 (59.416) Prec@5 82.031 (81.234) Epoch: [44][2070/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.8639 (1.7814) Prec@1 60.938 (59.425) Prec@5 79.688 (81.233) Epoch: [44][2080/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.6462 (1.7815) Prec@1 60.938 (59.422) Prec@5 81.250 (81.228) Epoch: [44][2090/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.7678 (1.7816) Prec@1 64.844 (59.425) Prec@5 79.688 (81.228) Epoch: [44][2100/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.9377 (1.7816) Prec@1 56.250 (59.423) Prec@5 81.250 (81.226) Epoch: [44][2110/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7859 (1.7815) Prec@1 64.844 (59.432) Prec@5 83.594 (81.227) Epoch: [44][2120/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.9110 (1.7812) Prec@1 57.031 (59.434) Prec@5 79.688 (81.231) Epoch: [44][2130/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8666 (1.7814) Prec@1 59.375 (59.424) Prec@5 80.469 (81.234) Epoch: [44][2140/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.5544 (1.7813) Prec@1 59.375 (59.422) Prec@5 84.375 (81.231) Epoch: [44][2150/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.7104 (1.7811) Prec@1 59.375 (59.424) Prec@5 85.156 (81.233) Epoch: [44][2160/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.9054 (1.7810) Prec@1 57.812 (59.438) Prec@5 79.688 (81.232) Epoch: [44][2170/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.3385 (1.7803) Prec@1 68.750 (59.454) Prec@5 87.500 (81.240) Epoch: [44][2180/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7825 (1.7799) Prec@1 64.062 (59.462) Prec@5 81.250 (81.245) Epoch: [44][2190/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.6550 (1.7801) Prec@1 60.938 (59.459) Prec@5 85.156 (81.241) Epoch: [44][2200/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8195 (1.7804) Prec@1 59.375 (59.461) Prec@5 81.250 (81.236) /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][2210/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6957 (1.7803) Prec@1 60.156 (59.458) Prec@5 79.688 (81.236) Epoch: [44][2220/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.7993 (1.7808) Prec@1 61.719 (59.448) Prec@5 78.906 (81.226) Epoch: [44][2230/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.6543 (1.7809) Prec@1 60.938 (59.442) Prec@5 85.156 (81.227) Epoch: [44][2240/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.0861 (1.7809) Prec@1 54.688 (59.441) Prec@5 75.000 (81.224) Epoch: [44][2250/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.9238 (1.7805) Prec@1 56.250 (59.449) Prec@5 78.906 (81.235) Epoch: [44][2260/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.6713 (1.7803) Prec@1 58.594 (59.453) Prec@5 85.938 (81.246) Epoch: [44][2270/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7921 (1.7803) Prec@1 62.500 (59.451) Prec@5 78.125 (81.241) Epoch: [44][2280/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.7818 (1.7802) Prec@1 60.938 (59.449) Prec@5 78.125 (81.243) Epoch: [44][2290/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.7249 (1.7800) Prec@1 64.062 (59.461) Prec@5 82.031 (81.245) Epoch: [44][2300/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.7198 (1.7798) Prec@1 60.938 (59.463) Prec@5 87.500 (81.246) Epoch: [44][2310/10010] Time 0.316 (0.331) Data 0.001 (0.002) Loss 1.5776 (1.7800) Prec@1 59.375 (59.455) Prec@5 85.938 (81.246) Epoch: [44][2320/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.7014 (1.7801) Prec@1 64.844 (59.464) Prec@5 82.812 (81.245) Epoch: [44][2330/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.5281 (1.7801) Prec@1 67.969 (59.466) Prec@5 82.812 (81.245) Epoch: [44][2340/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.5591 (1.7799) Prec@1 64.062 (59.470) Prec@5 85.156 (81.245) Epoch: [44][2350/10010] Time 0.339 (0.331) Data 0.000 (0.002) Loss 1.7286 (1.7798) Prec@1 59.375 (59.475) Prec@5 85.938 (81.248) Epoch: [44][2360/10010] Time 0.318 (0.331) Data 0.000 (0.002) Loss 1.5582 (1.7799) Prec@1 62.500 (59.475) Prec@5 89.062 (81.248) Epoch: [44][2370/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.6644 (1.7801) Prec@1 57.812 (59.470) Prec@5 82.812 (81.247) Epoch: [44][2380/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.7557 (1.7797) Prec@1 58.594 (59.473) Prec@5 82.812 (81.254) Epoch: [44][2390/10010] Time 0.328 (0.331) Data 0.001 (0.002) Loss 1.7298 (1.7795) Prec@1 63.281 (59.477) Prec@5 84.375 (81.259) Epoch: [44][2400/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.9522 (1.7795) Prec@1 56.250 (59.482) Prec@5 78.125 (81.257) Epoch: [44][2410/10010] Time 0.315 (0.331) Data 0.001 (0.002) Loss 2.0282 (1.7802) Prec@1 53.125 (59.464) Prec@5 76.562 (81.246) Epoch: [44][2420/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 2.0519 (1.7803) Prec@1 51.562 (59.455) Prec@5 76.562 (81.247) Epoch: [44][2430/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.8654 (1.7807) Prec@1 57.812 (59.446) Prec@5 79.688 (81.241) Epoch: [44][2440/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.7620 (1.7803) Prec@1 57.812 (59.451) Prec@5 82.031 (81.247) Epoch: [44][2450/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.6022 (1.7803) Prec@1 64.062 (59.447) Prec@5 82.031 (81.246) Epoch: [44][2460/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 1.9333 (1.7802) Prec@1 63.281 (59.453) Prec@5 80.469 (81.249) Epoch: [44][2470/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.8367 (1.7807) Prec@1 49.219 (59.438) Prec@5 78.906 (81.241) Epoch: [44][2480/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.6597 (1.7808) Prec@1 64.062 (59.445) Prec@5 81.250 (81.238) Epoch: [44][2490/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.7097 (1.7805) Prec@1 63.281 (59.458) Prec@5 82.812 (81.246) Epoch: [44][2500/10010] Time 0.331 (0.331) Data 0.001 (0.002) Loss 1.6404 (1.7807) Prec@1 64.844 (59.456) Prec@5 86.719 (81.240) Epoch: [44][2510/10010] Time 0.341 (0.331) Data 0.000 (0.002) Loss 1.7582 (1.7807) Prec@1 57.031 (59.452) Prec@5 79.688 (81.240) Epoch: [44][2520/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.5260 (1.7805) Prec@1 62.500 (59.457) Prec@5 85.938 (81.243) Epoch: [44][2530/10010] Time 0.331 (0.331) Data 0.000 (0.002) Loss 1.5713 (1.7804) Prec@1 63.281 (59.457) Prec@5 83.594 (81.246) Epoch: [44][2540/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.6412 (1.7806) Prec@1 62.500 (59.456) Prec@5 83.594 (81.243) Epoch: [44][2550/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.8521 (1.7805) Prec@1 56.250 (59.458) Prec@5 79.688 (81.243) Epoch: [44][2560/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.8303 (1.7806) Prec@1 60.156 (59.452) Prec@5 78.906 (81.237) Epoch: [44][2570/10010] Time 0.341 (0.331) Data 0.001 (0.002) Loss 1.9233 (1.7805) Prec@1 58.594 (59.454) Prec@5 81.250 (81.236) Epoch: [44][2580/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 2.1858 (1.7809) Prec@1 57.812 (59.453) Prec@5 77.344 (81.228) Epoch: [44][2590/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.8011 (1.7810) Prec@1 60.156 (59.449) Prec@5 81.250 (81.227) Epoch: [44][2600/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.7840 (1.7811) Prec@1 55.469 (59.442) Prec@5 85.156 (81.227) Epoch: [44][2610/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.6337 (1.7810) Prec@1 60.156 (59.443) Prec@5 83.594 (81.228) Epoch: [44][2620/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.9514 (1.7814) Prec@1 59.375 (59.434) Prec@5 80.469 (81.223) Epoch: [44][2630/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.5168 (1.7810) Prec@1 64.062 (59.441) Prec@5 86.719 (81.230) Epoch: [44][2640/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.8525 (1.7809) Prec@1 56.250 (59.448) Prec@5 82.031 (81.233) Epoch: [44][2650/10010] Time 0.344 (0.331) Data 0.000 (0.002) Loss 1.9984 (1.7809) Prec@1 55.469 (59.447) Prec@5 78.125 (81.228) Epoch: [44][2660/10010] Time 0.334 (0.331) Data 0.001 (0.002) Loss 1.9906 (1.7813) Prec@1 56.250 (59.438) Prec@5 75.781 (81.222) Epoch: [44][2670/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.0083 (1.7812) Prec@1 53.125 (59.439) Prec@5 78.906 (81.223) Epoch: [44][2680/10010] Time 0.327 (0.331) Data 0.001 (0.002) Loss 1.7179 (1.7811) Prec@1 62.500 (59.441) Prec@5 82.031 (81.226) Epoch: [44][2690/10010] Time 0.342 (0.331) Data 0.000 (0.002) Loss 1.7975 (1.7814) Prec@1 62.500 (59.446) Prec@5 82.812 (81.220) Epoch: [44][2700/10010] Time 0.327 (0.331) Data 0.000 (0.002) Loss 1.7977 (1.7814) Prec@1 59.375 (59.437) Prec@5 80.469 (81.221) Epoch: [44][2710/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.8146 (1.7813) Prec@1 61.719 (59.436) Prec@5 77.344 (81.221) Epoch: [44][2720/10010] Time 0.337 (0.331) Data 0.000 (0.002) Loss 1.8011 (1.7814) Prec@1 56.250 (59.438) Prec@5 81.250 (81.220) Epoch: [44][2730/10010] Time 0.323 (0.331) Data 0.001 (0.002) Loss 2.0449 (1.7819) Prec@1 56.250 (59.433) Prec@5 79.688 (81.210) Epoch: [44][2740/10010] Time 0.326 (0.331) Data 0.000 (0.002) Loss 2.1344 (1.7818) Prec@1 48.438 (59.432) Prec@5 73.438 (81.210) Epoch: [44][2750/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 1.5565 (1.7819) Prec@1 65.625 (59.432) Prec@5 82.812 (81.207) Epoch: [44][2760/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.7316 (1.7822) Prec@1 57.812 (59.432) Prec@5 79.688 (81.199) Epoch: [44][2770/10010] Time 0.339 (0.331) Data 0.001 (0.002) Loss 1.7785 (1.7827) Prec@1 56.250 (59.426) Prec@5 80.469 (81.189) Epoch: [44][2780/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 2.0514 (1.7828) Prec@1 52.344 (59.427) Prec@5 79.688 (81.185) Epoch: [44][2790/10010] Time 0.317 (0.331) Data 0.001 (0.002) Loss 1.6544 (1.7828) Prec@1 64.844 (59.434) Prec@5 82.031 (81.182) Epoch: [44][2800/10010] Time 0.330 (0.331) Data 0.001 (0.002) Loss 1.6115 (1.7830) Prec@1 63.281 (59.423) Prec@5 84.375 (81.183) Epoch: [44][2810/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.5926 (1.7830) Prec@1 64.844 (59.423) Prec@5 85.938 (81.179) Epoch: [44][2820/10010] Time 0.321 (0.331) Data 0.001 (0.002) Loss 1.7405 (1.7834) Prec@1 62.500 (59.422) Prec@5 82.812 (81.176) Epoch: [44][2830/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 1.4916 (1.7831) Prec@1 64.062 (59.428) Prec@5 87.500 (81.184) /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][2840/10010] Time 0.332 (0.331) Data 0.001 (0.002) Loss 1.6405 (1.7828) Prec@1 64.062 (59.436) Prec@5 85.938 (81.188) Epoch: [44][2850/10010] Time 0.334 (0.331) Data 0.000 (0.002) Loss 1.6317 (1.7829) Prec@1 65.625 (59.435) Prec@5 83.594 (81.186) Epoch: [44][2860/10010] Time 0.328 (0.331) Data 0.000 (0.002) Loss 1.6303 (1.7825) Prec@1 65.625 (59.437) Prec@5 81.250 (81.192) Epoch: [44][2870/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.9727 (1.7826) Prec@1 57.812 (59.435) Prec@5 80.469 (81.192) Epoch: [44][2880/10010] Time 0.323 (0.331) Data 0.000 (0.002) Loss 1.7489 (1.7828) Prec@1 60.938 (59.432) Prec@5 80.469 (81.188) Epoch: [44][2890/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 1.8197 (1.7829) Prec@1 59.375 (59.432) Prec@5 78.906 (81.190) Epoch: [44][2900/10010] Time 0.333 (0.331) Data 0.001 (0.002) Loss 1.9660 (1.7831) Prec@1 58.594 (59.431) Prec@5 75.000 (81.183) Epoch: [44][2910/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.6510 (1.7830) Prec@1 60.938 (59.428) Prec@5 79.688 (81.185) Epoch: [44][2920/10010] Time 0.325 (0.331) Data 0.000 (0.002) Loss 1.9769 (1.7829) Prec@1 51.562 (59.428) Prec@5 77.344 (81.186) Epoch: [44][2930/10010] Time 0.333 (0.331) Data 0.000 (0.002) Loss 1.7267 (1.7830) Prec@1 57.812 (59.421) Prec@5 78.906 (81.181) Epoch: [44][2940/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.6350 (1.7829) Prec@1 56.250 (59.421) Prec@5 85.156 (81.184) Epoch: [44][2950/10010] Time 0.332 (0.331) Data 0.000 (0.002) Loss 2.0234 (1.7831) Prec@1 51.562 (59.414) Prec@5 79.688 (81.180) Epoch: [44][2960/10010] Time 0.329 (0.331) Data 0.001 (0.002) Loss 2.0150 (1.7829) Prec@1 57.031 (59.418) Prec@5 75.781 (81.181) Epoch: [44][2970/10010] Time 0.348 (0.331) Data 0.001 (0.002) Loss 1.7021 (1.7828) Prec@1 60.938 (59.421) Prec@5 82.031 (81.182) Epoch: [44][2980/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.6115 (1.7829) Prec@1 61.719 (59.416) Prec@5 84.375 (81.182) Epoch: [44][2990/10010] Time 0.320 (0.331) Data 0.000 (0.002) Loss 1.9714 (1.7830) Prec@1 57.812 (59.412) Prec@5 76.562 (81.181) Epoch: [44][3000/10010] Time 0.343 (0.331) Data 0.000 (0.002) Loss 1.7834 (1.7831) Prec@1 62.500 (59.412) Prec@5 80.469 (81.178) Epoch: [44][3010/10010] Time 0.324 (0.331) Data 0.001 (0.002) Loss 1.8472 (1.7833) Prec@1 60.156 (59.415) Prec@5 79.688 (81.175) Epoch: [44][3020/10010] Time 0.338 (0.331) Data 0.000 (0.002) Loss 1.6887 (1.7833) Prec@1 60.938 (59.417) Prec@5 80.469 (81.174) Epoch: [44][3030/10010] Time 0.325 (0.331) Data 0.001 (0.002) Loss 1.6789 (1.7835) Prec@1 62.500 (59.408) Prec@5 82.812 (81.170) Epoch: [44][3040/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.5848 (1.7835) Prec@1 63.281 (59.407) Prec@5 83.594 (81.172) Epoch: [44][3050/10010] Time 0.337 (0.331) Data 0.001 (0.002) Loss 2.0795 (1.7837) Prec@1 52.344 (59.403) Prec@5 78.906 (81.167) Epoch: [44][3060/10010] Time 0.317 (0.331) Data 0.000 (0.002) Loss 1.8235 (1.7839) Prec@1 62.500 (59.398) Prec@5 81.250 (81.162) Epoch: [44][3070/10010] Time 0.342 (0.331) Data 0.001 (0.002) Loss 1.9500 (1.7842) Prec@1 55.469 (59.390) Prec@5 80.469 (81.155) Epoch: [44][3080/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 2.0250 (1.7843) Prec@1 53.125 (59.384) Prec@5 80.469 (81.155) Epoch: [44][3090/10010] Time 0.324 (0.331) Data 0.000 (0.002) Loss 1.7459 (1.7840) Prec@1 58.594 (59.386) Prec@5 82.812 (81.160) Epoch: [44][3100/10010] Time 0.326 (0.331) Data 0.001 (0.002) Loss 1.7924 (1.7838) Prec@1 57.031 (59.392) Prec@5 78.125 (81.160) Epoch: [44][3110/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1419 (1.7841) Prec@1 53.125 (59.387) Prec@5 79.688 (81.156) Epoch: [44][3120/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0478 (1.7844) Prec@1 52.344 (59.382) Prec@5 72.656 (81.150) Epoch: [44][3130/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.5856 (1.7844) Prec@1 64.844 (59.379) Prec@5 80.469 (81.149) Epoch: [44][3140/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6514 (1.7847) Prec@1 63.281 (59.376) Prec@5 82.031 (81.148) Epoch: [44][3150/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6732 (1.7846) Prec@1 61.719 (59.375) Prec@5 82.812 (81.148) Epoch: [44][3160/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0234 (1.7848) Prec@1 53.125 (59.374) Prec@5 82.812 (81.147) Epoch: [44][3170/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6217 (1.7844) Prec@1 67.969 (59.382) Prec@5 81.250 (81.153) Epoch: [44][3180/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8611 (1.7847) Prec@1 57.031 (59.375) Prec@5 78.906 (81.152) Epoch: [44][3190/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6436 (1.7847) Prec@1 60.938 (59.371) Prec@5 86.719 (81.154) Epoch: [44][3200/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8775 (1.7848) Prec@1 57.812 (59.369) Prec@5 80.469 (81.155) Epoch: [44][3210/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8757 (1.7848) Prec@1 57.031 (59.368) Prec@5 81.250 (81.157) Epoch: [44][3220/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8329 (1.7846) Prec@1 57.031 (59.373) Prec@5 80.469 (81.158) Epoch: [44][3230/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8357 (1.7846) Prec@1 58.594 (59.373) Prec@5 78.125 (81.158) Epoch: [44][3240/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9583 (1.7847) Prec@1 51.562 (59.363) Prec@5 77.344 (81.159) Epoch: [44][3250/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9238 (1.7848) Prec@1 59.375 (59.365) Prec@5 75.000 (81.157) Epoch: [44][3260/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7038 (1.7848) Prec@1 56.250 (59.364) Prec@5 84.375 (81.157) Epoch: [44][3270/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6792 (1.7847) Prec@1 60.156 (59.368) Prec@5 80.469 (81.159) Epoch: [44][3280/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7266 (1.7850) Prec@1 62.500 (59.367) Prec@5 84.375 (81.153) Epoch: [44][3290/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5352 (1.7850) Prec@1 64.844 (59.370) Prec@5 86.719 (81.153) Epoch: [44][3300/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8265 (1.7849) Prec@1 61.719 (59.371) Prec@5 79.688 (81.154) Epoch: [44][3310/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.5793 (1.7850) Prec@1 61.719 (59.373) Prec@5 82.031 (81.153) Epoch: [44][3320/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9183 (1.7850) Prec@1 56.250 (59.372) Prec@5 79.688 (81.153) Epoch: [44][3330/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9542 (1.7853) Prec@1 54.688 (59.367) Prec@5 77.344 (81.150) Epoch: [44][3340/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.5112 (1.7852) Prec@1 62.500 (59.363) Prec@5 84.375 (81.149) Epoch: [44][3350/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0437 (1.7853) Prec@1 55.469 (59.361) Prec@5 76.562 (81.146) Epoch: [44][3360/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.9053 (1.7855) Prec@1 53.906 (59.358) Prec@5 80.469 (81.142) Epoch: [44][3370/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9674 (1.7859) Prec@1 58.594 (59.349) Prec@5 77.344 (81.136) Epoch: [44][3380/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0196 (1.7860) Prec@1 54.688 (59.345) Prec@5 75.000 (81.136) Epoch: [44][3390/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6177 (1.7860) Prec@1 60.156 (59.346) Prec@5 86.719 (81.137) Epoch: [44][3400/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.3210 (1.7859) Prec@1 50.000 (59.345) Prec@5 75.781 (81.138) Epoch: [44][3410/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.6999 (1.7859) Prec@1 63.281 (59.342) Prec@5 82.812 (81.139) Epoch: [44][3420/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7278 (1.7858) Prec@1 59.375 (59.343) Prec@5 81.250 (81.141) Epoch: [44][3430/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7305 (1.7858) Prec@1 56.250 (59.339) Prec@5 83.594 (81.140) Epoch: [44][3440/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6545 (1.7860) Prec@1 64.844 (59.340) Prec@5 82.031 (81.137) Epoch: [44][3450/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7739 (1.7860) Prec@1 61.719 (59.340) Prec@5 79.688 (81.137) Epoch: [44][3460/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7334 (1.7860) Prec@1 64.844 (59.334) Prec@5 80.469 (81.141) Epoch: [44][3470/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7387 (1.7861) Prec@1 65.625 (59.334) Prec@5 80.469 (81.139) Epoch: [44][3480/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7595 (1.7862) Prec@1 57.812 (59.340) Prec@5 81.250 (81.138) Epoch: [44][3490/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7780 (1.7864) Prec@1 57.812 (59.335) Prec@5 82.812 (81.135) Epoch: [44][3500/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6919 (1.7866) Prec@1 56.250 (59.332) Prec@5 81.250 (81.129) Epoch: [44][3510/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.5719 (1.7866) Prec@1 67.188 (59.335) Prec@5 85.156 (81.131) Epoch: [44][3520/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9366 (1.7866) Prec@1 56.250 (59.335) Prec@5 75.781 (81.128) Epoch: [44][3530/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9536 (1.7867) Prec@1 54.688 (59.333) Prec@5 78.906 (81.129) Epoch: [44][3540/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9724 (1.7866) Prec@1 53.125 (59.335) Prec@5 78.906 (81.129) Epoch: [44][3550/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7227 (1.7867) Prec@1 59.375 (59.333) Prec@5 83.594 (81.126) Epoch: [44][3560/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7142 (1.7865) Prec@1 64.062 (59.336) Prec@5 82.031 (81.129) Epoch: [44][3570/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.9142 (1.7867) Prec@1 53.906 (59.333) Prec@5 76.562 (81.124) Epoch: [44][3580/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8413 (1.7866) Prec@1 60.156 (59.336) Prec@5 83.594 (81.122) Epoch: [44][3590/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9013 (1.7867) Prec@1 53.906 (59.335) Prec@5 77.344 (81.119) Epoch: [44][3600/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.7009 (1.7868) Prec@1 58.594 (59.331) Prec@5 83.594 (81.119) Epoch: [44][3610/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6522 (1.7867) Prec@1 60.938 (59.331) Prec@5 81.250 (81.120) Epoch: [44][3620/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7896 (1.7864) Prec@1 58.594 (59.337) Prec@5 78.906 (81.123) Epoch: [44][3630/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1921 (1.7863) Prec@1 55.469 (59.341) Prec@5 74.219 (81.127) Epoch: [44][3640/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7887 (1.7866) Prec@1 60.156 (59.336) Prec@5 78.906 (81.123) Epoch: [44][3650/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0354 (1.7868) Prec@1 54.688 (59.330) Prec@5 75.781 (81.119) Epoch: [44][3660/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6105 (1.7868) Prec@1 60.938 (59.331) Prec@5 84.375 (81.119) Epoch: [44][3670/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8113 (1.7869) Prec@1 60.156 (59.329) Prec@5 81.250 (81.117) Epoch: [44][3680/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0508 (1.7872) Prec@1 57.031 (59.326) Prec@5 76.562 (81.113) Epoch: [44][3690/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7149 (1.7873) Prec@1 59.375 (59.327) Prec@5 83.594 (81.110) Epoch: [44][3700/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0812 (1.7876) Prec@1 55.469 (59.319) Prec@5 72.656 (81.107) Epoch: [44][3710/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9099 (1.7878) Prec@1 50.781 (59.310) Prec@5 83.594 (81.107) Epoch: [44][3720/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.5823 (1.7877) Prec@1 61.719 (59.310) Prec@5 84.375 (81.111) Epoch: [44][3730/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8926 (1.7875) Prec@1 62.500 (59.314) Prec@5 75.000 (81.114) Epoch: [44][3740/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.5664 (1.7875) Prec@1 66.406 (59.313) Prec@5 82.031 (81.113) Epoch: [44][3750/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5250 (1.7875) Prec@1 65.625 (59.313) Prec@5 84.375 (81.113) Epoch: [44][3760/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9680 (1.7877) Prec@1 53.906 (59.312) Prec@5 80.469 (81.112) Epoch: [44][3770/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7507 (1.7878) Prec@1 60.938 (59.310) Prec@5 82.031 (81.114) Epoch: [44][3780/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6383 (1.7876) Prec@1 64.844 (59.318) Prec@5 79.688 (81.113) Epoch: [44][3790/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.5782 (1.7877) Prec@1 62.500 (59.321) Prec@5 87.500 (81.112) Epoch: [44][3800/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.0590 (1.7880) Prec@1 53.906 (59.317) Prec@5 78.125 (81.105) Epoch: [44][3810/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0256 (1.7881) Prec@1 56.250 (59.315) Prec@5 76.562 (81.101) Epoch: [44][3820/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8509 (1.7881) Prec@1 56.250 (59.322) Prec@5 82.812 (81.102) Epoch: [44][3830/10010] Time 0.313 (0.331) Data 0.001 (0.001) Loss 1.5984 (1.7881) Prec@1 64.062 (59.319) Prec@5 82.812 (81.101) Epoch: [44][3840/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.9091 (1.7884) Prec@1 57.812 (59.316) Prec@5 76.562 (81.097) Epoch: [44][3850/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8196 (1.7883) Prec@1 60.156 (59.310) Prec@5 78.906 (81.097) Epoch: [44][3860/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6230 (1.7882) Prec@1 67.188 (59.313) Prec@5 85.156 (81.100) Epoch: [44][3870/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1615 (1.7883) Prec@1 47.656 (59.310) Prec@5 76.562 (81.101) Epoch: [44][3880/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.4486 (1.7882) Prec@1 68.750 (59.312) Prec@5 85.938 (81.099) Epoch: [44][3890/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7950 (1.7881) Prec@1 60.156 (59.314) Prec@5 79.688 (81.101) Epoch: [44][3900/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7628 (1.7881) Prec@1 60.938 (59.315) Prec@5 79.688 (81.103) Epoch: [44][3910/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.1001 (1.7880) Prec@1 54.688 (59.317) Prec@5 78.125 (81.104) Epoch: [44][3920/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.0323 (1.7882) Prec@1 57.812 (59.307) Prec@5 76.562 (81.102) Epoch: [44][3930/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9610 (1.7882) Prec@1 57.031 (59.306) Prec@5 76.562 (81.098) Epoch: [44][3940/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5842 (1.7880) Prec@1 63.281 (59.308) Prec@5 85.156 (81.103) Epoch: [44][3950/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7191 (1.7879) Prec@1 58.594 (59.308) Prec@5 82.031 (81.104) Epoch: [44][3960/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7862 (1.7882) Prec@1 62.500 (59.303) Prec@5 82.031 (81.102) Epoch: [44][3970/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.1397 (1.7883) Prec@1 55.469 (59.300) Prec@5 72.656 (81.101) Epoch: [44][3980/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5841 (1.7881) Prec@1 63.281 (59.307) Prec@5 84.375 (81.103) Epoch: [44][3990/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7237 (1.7881) Prec@1 60.156 (59.306) Prec@5 82.031 (81.101) Epoch: [44][4000/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6595 (1.7880) Prec@1 55.469 (59.311) Prec@5 82.812 (81.103) Epoch: [44][4010/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.9302 (1.7879) Prec@1 55.469 (59.314) Prec@5 75.781 (81.105) Epoch: [44][4020/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8649 (1.7879) Prec@1 52.344 (59.311) Prec@5 78.125 (81.105) Epoch: [44][4030/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6369 (1.7876) Prec@1 62.500 (59.316) Prec@5 86.719 (81.109) Epoch: [44][4040/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.6502 (1.7877) Prec@1 60.938 (59.314) Prec@5 80.469 (81.108) Epoch: [44][4050/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6732 (1.7878) Prec@1 63.281 (59.311) Prec@5 82.031 (81.102) Epoch: [44][4060/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7021 (1.7880) Prec@1 63.281 (59.309) Prec@5 78.125 (81.097) Epoch: [44][4070/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9422 (1.7883) Prec@1 57.031 (59.303) Prec@5 79.688 (81.090) Epoch: [44][4080/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7787 (1.7885) Prec@1 55.469 (59.297) Prec@5 83.594 (81.087) Epoch: [44][4090/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9113 (1.7885) Prec@1 53.125 (59.300) Prec@5 78.906 (81.087) Epoch: [44][4100/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7659 (1.7885) Prec@1 54.688 (59.302) Prec@5 82.812 (81.087) Epoch: [44][4110/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6339 (1.7886) Prec@1 66.406 (59.304) Prec@5 82.812 (81.085) Epoch: [44][4120/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5712 (1.7886) Prec@1 57.812 (59.300) Prec@5 82.031 (81.084) Epoch: [44][4130/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8398 (1.7887) Prec@1 60.938 (59.298) Prec@5 82.031 (81.082) Epoch: [44][4140/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.1469 (1.7887) Prec@1 58.594 (59.302) Prec@5 73.438 (81.082) Epoch: [44][4150/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7543 (1.7887) Prec@1 56.250 (59.301) Prec@5 85.156 (81.084) Epoch: [44][4160/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.7299 (1.7885) Prec@1 58.594 (59.300) Prec@5 79.688 (81.085) Epoch: [44][4170/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6251 (1.7885) Prec@1 57.031 (59.300) Prec@5 85.156 (81.089) Epoch: [44][4180/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8858 (1.7887) Prec@1 60.938 (59.296) Prec@5 77.344 (81.084) Epoch: [44][4190/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7898 (1.7887) Prec@1 57.031 (59.296) Prec@5 82.812 (81.087) Epoch: [44][4200/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.5301 (1.7888) Prec@1 64.062 (59.292) Prec@5 83.594 (81.084) Epoch: [44][4210/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8617 (1.7889) Prec@1 54.688 (59.287) Prec@5 83.594 (81.085) Epoch: [44][4220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6518 (1.7888) Prec@1 62.500 (59.290) Prec@5 80.469 (81.084) Epoch: [44][4230/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9249 (1.7890) Prec@1 49.219 (59.285) Prec@5 76.562 (81.083) Epoch: [44][4240/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9572 (1.7887) Prec@1 57.812 (59.290) Prec@5 75.781 (81.085) Epoch: [44][4250/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1053 (1.7888) Prec@1 52.344 (59.290) Prec@5 73.438 (81.081) Epoch: [44][4260/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.8876 (1.7890) Prec@1 54.688 (59.280) Prec@5 80.469 (81.078) Epoch: [44][4270/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9358 (1.7892) Prec@1 53.906 (59.278) Prec@5 79.688 (81.075) Epoch: [44][4280/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6853 (1.7892) Prec@1 62.500 (59.278) Prec@5 78.906 (81.076) Epoch: [44][4290/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.2008 (1.7893) Prec@1 54.688 (59.277) Prec@5 73.438 (81.073) Epoch: [44][4300/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7129 (1.7894) Prec@1 59.375 (59.276) Prec@5 83.594 (81.073) Epoch: [44][4310/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7918 (1.7895) Prec@1 63.281 (59.277) Prec@5 80.469 (81.070) Epoch: [44][4320/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.2198 (1.7895) Prec@1 47.656 (59.274) Prec@5 73.438 (81.070) Epoch: [44][4330/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.1710 (1.7899) Prec@1 53.906 (59.263) Prec@5 78.906 (81.062) Epoch: [44][4340/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0437 (1.7899) Prec@1 60.156 (59.266) Prec@5 77.344 (81.064) Epoch: [44][4350/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7624 (1.7898) Prec@1 58.594 (59.269) Prec@5 82.812 (81.065) Epoch: [44][4360/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.8648 (1.7899) Prec@1 62.500 (59.270) Prec@5 78.906 (81.061) Epoch: [44][4370/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1731 (1.7900) Prec@1 55.469 (59.270) Prec@5 76.562 (81.060) Epoch: [44][4380/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8607 (1.7901) Prec@1 56.250 (59.269) Prec@5 78.906 (81.057) Epoch: [44][4390/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7871 (1.7901) Prec@1 57.031 (59.269) Prec@5 84.375 (81.057) Epoch: [44][4400/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7609 (1.7900) Prec@1 62.500 (59.271) Prec@5 79.688 (81.059) Epoch: [44][4410/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7195 (1.7899) Prec@1 58.594 (59.269) Prec@5 80.469 (81.060) Epoch: [44][4420/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7345 (1.7898) Prec@1 57.812 (59.269) Prec@5 81.250 (81.060) Epoch: [44][4430/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6920 (1.7900) Prec@1 63.281 (59.271) Prec@5 81.250 (81.057) Epoch: [44][4440/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7971 (1.7901) Prec@1 62.500 (59.268) Prec@5 82.031 (81.053) Epoch: [44][4450/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7800 (1.7902) Prec@1 53.125 (59.262) Prec@5 78.906 (81.054) Epoch: [44][4460/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9323 (1.7902) Prec@1 56.250 (59.262) Prec@5 78.906 (81.055) Epoch: [44][4470/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 2.2046 (1.7905) Prec@1 53.906 (59.259) Prec@5 75.781 (81.050) Epoch: [44][4480/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9450 (1.7905) Prec@1 54.688 (59.258) Prec@5 76.562 (81.050) Epoch: [44][4490/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5510 (1.7904) Prec@1 63.281 (59.259) Prec@5 84.375 (81.050) Epoch: [44][4500/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7258 (1.7904) Prec@1 64.062 (59.258) Prec@5 81.250 (81.051) Epoch: [44][4510/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7510 (1.7904) Prec@1 59.375 (59.260) Prec@5 82.812 (81.050) Epoch: [44][4520/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6328 (1.7904) Prec@1 63.281 (59.260) Prec@5 78.906 (81.047) Epoch: [44][4530/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1401 (1.7904) Prec@1 58.594 (59.258) Prec@5 74.219 (81.048) Epoch: [44][4540/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8375 (1.7905) Prec@1 62.500 (59.255) Prec@5 79.688 (81.050) Epoch: [44][4550/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9374 (1.7906) Prec@1 56.250 (59.252) Prec@5 75.781 (81.045) Epoch: [44][4560/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6737 (1.7904) Prec@1 61.719 (59.254) Prec@5 82.031 (81.047) Epoch: [44][4570/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6067 (1.7903) Prec@1 64.062 (59.257) Prec@5 85.156 (81.049) Epoch: [44][4580/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8341 (1.7903) Prec@1 58.594 (59.257) Prec@5 81.250 (81.049) Epoch: [44][4590/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.2878 (1.7903) Prec@1 53.906 (59.256) Prec@5 72.656 (81.050) Epoch: [44][4600/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8626 (1.7906) Prec@1 57.031 (59.251) Prec@5 79.688 (81.048) Epoch: [44][4610/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8665 (1.7905) Prec@1 63.281 (59.252) Prec@5 82.812 (81.051) Epoch: [44][4620/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7731 (1.7905) Prec@1 54.688 (59.254) Prec@5 82.031 (81.053) Epoch: [44][4630/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6790 (1.7904) Prec@1 58.594 (59.255) Prec@5 84.375 (81.055) Epoch: [44][4640/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.9476 (1.7903) Prec@1 56.250 (59.259) Prec@5 80.469 (81.060) Epoch: [44][4650/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.4985 (1.7901) Prec@1 69.531 (59.263) Prec@5 83.594 (81.063) Epoch: [44][4660/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.1336 (1.7902) Prec@1 57.031 (59.265) Prec@5 73.438 (81.061) Epoch: [44][4670/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 2.0502 (1.7901) Prec@1 55.469 (59.261) Prec@5 74.219 (81.063) Epoch: [44][4680/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8119 (1.7904) Prec@1 61.719 (59.257) Prec@5 80.469 (81.056) Epoch: [44][4690/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7923 (1.7905) Prec@1 53.125 (59.258) Prec@5 81.250 (81.057) Epoch: [44][4700/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8081 (1.7905) Prec@1 59.375 (59.256) Prec@5 79.688 (81.055) Epoch: [44][4710/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8500 (1.7906) Prec@1 56.250 (59.253) Prec@5 80.469 (81.053) Epoch: [44][4720/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9157 (1.7907) Prec@1 59.375 (59.253) Prec@5 79.688 (81.050) Epoch: [44][4730/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6359 (1.7905) Prec@1 62.500 (59.258) Prec@5 82.812 (81.053) Epoch: [44][4740/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0127 (1.7907) Prec@1 58.594 (59.253) Prec@5 77.344 (81.049) Epoch: [44][4750/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6563 (1.7906) Prec@1 60.938 (59.256) Prec@5 78.906 (81.050) Epoch: [44][4760/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7854 (1.7905) Prec@1 60.156 (59.258) Prec@5 82.812 (81.050) Epoch: [44][4770/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9401 (1.7906) Prec@1 61.719 (59.254) Prec@5 80.469 (81.048) Epoch: [44][4780/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.2955 (1.7906) Prec@1 52.344 (59.255) Prec@5 68.750 (81.045) Epoch: [44][4790/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9076 (1.7908) Prec@1 57.812 (59.249) Prec@5 79.688 (81.044) Epoch: [44][4800/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1115 (1.7909) Prec@1 51.562 (59.247) Prec@5 76.562 (81.043) Epoch: [44][4810/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6896 (1.7907) Prec@1 57.031 (59.248) Prec@5 82.812 (81.046) Epoch: [44][4820/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9929 (1.7909) Prec@1 50.781 (59.247) Prec@5 78.906 (81.044) Epoch: [44][4830/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.7084 (1.7907) Prec@1 62.500 (59.250) Prec@5 82.812 (81.048) Epoch: [44][4840/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.6264 (1.7908) Prec@1 63.281 (59.249) Prec@5 87.500 (81.045) Epoch: [44][4850/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7927 (1.7906) Prec@1 55.469 (59.252) Prec@5 82.812 (81.048) Epoch: [44][4860/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0647 (1.7908) Prec@1 57.031 (59.253) Prec@5 81.250 (81.048) Epoch: [44][4870/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8030 (1.7911) Prec@1 60.156 (59.250) Prec@5 84.375 (81.042) Epoch: [44][4880/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8558 (1.7911) Prec@1 57.812 (59.247) Prec@5 77.344 (81.039) Epoch: [44][4890/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.0493 (1.7913) Prec@1 54.688 (59.245) Prec@5 74.219 (81.035) Epoch: [44][4900/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7255 (1.7914) Prec@1 59.375 (59.242) Prec@5 81.250 (81.034) Epoch: [44][4910/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9259 (1.7914) Prec@1 60.156 (59.246) Prec@5 78.125 (81.036) Epoch: [44][4920/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 1.9400 (1.7915) Prec@1 57.031 (59.242) Prec@5 78.906 (81.034) Epoch: [44][4930/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0876 (1.7917) Prec@1 54.688 (59.237) Prec@5 75.781 (81.032) Epoch: [44][4940/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 1.7485 (1.7919) Prec@1 57.031 (59.236) Prec@5 79.688 (81.030) Epoch: [44][4950/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.4836 (1.7919) Prec@1 67.969 (59.238) Prec@5 85.938 (81.029) Epoch: [44][4960/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8429 (1.7920) Prec@1 57.031 (59.237) Prec@5 78.906 (81.024) Epoch: [44][4970/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.6674 (1.7921) Prec@1 58.594 (59.235) Prec@5 85.938 (81.024) Epoch: [44][4980/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6540 (1.7923) Prec@1 57.031 (59.229) Prec@5 85.938 (81.022) Epoch: [44][4990/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9199 (1.7923) Prec@1 53.125 (59.226) Prec@5 80.469 (81.022) Epoch: [44][5000/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.8407 (1.7925) Prec@1 60.156 (59.223) Prec@5 82.812 (81.020) Epoch: [44][5010/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7362 (1.7925) Prec@1 60.938 (59.224) Prec@5 85.156 (81.022) Epoch: [44][5020/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.4627 (1.7923) Prec@1 67.969 (59.226) Prec@5 85.938 (81.023) Epoch: [44][5030/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8017 (1.7924) Prec@1 60.938 (59.226) Prec@5 79.688 (81.022) Epoch: [44][5040/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.3383 (1.7923) Prec@1 67.188 (59.228) Prec@5 87.500 (81.023) Epoch: [44][5050/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5596 (1.7923) Prec@1 63.281 (59.227) Prec@5 85.156 (81.024) Epoch: [44][5060/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0196 (1.7926) Prec@1 55.469 (59.221) Prec@5 79.688 (81.020) Epoch: [44][5070/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6928 (1.7924) Prec@1 61.719 (59.226) Prec@5 85.156 (81.022) Epoch: [44][5080/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5487 (1.7924) Prec@1 64.062 (59.226) Prec@5 85.938 (81.022) Epoch: [44][5090/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7785 (1.7925) Prec@1 54.688 (59.222) Prec@5 82.031 (81.020) Epoch: [44][5100/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8522 (1.7926) Prec@1 59.375 (59.222) Prec@5 81.250 (81.020) Epoch: [44][5110/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.5614 (1.7925) Prec@1 66.406 (59.222) Prec@5 88.281 (81.021) Epoch: [44][5120/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8503 (1.7925) Prec@1 64.844 (59.225) Prec@5 79.688 (81.021) Epoch: [44][5130/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6083 (1.7924) Prec@1 61.719 (59.223) Prec@5 85.156 (81.021) Epoch: [44][5140/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6984 (1.7926) Prec@1 56.250 (59.218) Prec@5 82.031 (81.018) Epoch: [44][5150/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8020 (1.7927) Prec@1 60.938 (59.217) Prec@5 80.469 (81.014) Epoch: [44][5160/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0810 (1.7926) Prec@1 54.688 (59.219) Prec@5 75.781 (81.015) Epoch: [44][5170/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6113 (1.7927) Prec@1 61.719 (59.215) Prec@5 80.469 (81.013) Epoch: [44][5180/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9741 (1.7926) Prec@1 54.688 (59.217) Prec@5 75.781 (81.015) Epoch: [44][5190/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.8815 (1.7924) Prec@1 53.906 (59.220) Prec@5 79.688 (81.016) Epoch: [44][5200/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.5138 (1.7922) Prec@1 64.062 (59.223) Prec@5 86.719 (81.019) Epoch: [44][5210/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5392 (1.7922) Prec@1 65.625 (59.224) Prec@5 82.812 (81.018) Epoch: [44][5220/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5652 (1.7919) Prec@1 60.938 (59.227) Prec@5 85.938 (81.024) Epoch: [44][5230/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9851 (1.7920) Prec@1 57.812 (59.226) Prec@5 78.125 (81.022) Epoch: [44][5240/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8814 (1.7922) Prec@1 58.594 (59.224) Prec@5 81.250 (81.020) Epoch: [44][5250/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7306 (1.7921) Prec@1 60.938 (59.224) Prec@5 81.250 (81.018) Epoch: [44][5260/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8193 (1.7922) Prec@1 64.062 (59.224) Prec@5 78.906 (81.018) Epoch: [44][5270/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.8523 (1.7922) Prec@1 55.469 (59.223) Prec@5 80.469 (81.018) Epoch: [44][5280/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8223 (1.7921) Prec@1 56.250 (59.221) Prec@5 80.469 (81.021) Epoch: [44][5290/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4647 (1.7919) Prec@1 62.500 (59.224) Prec@5 88.281 (81.026) Epoch: [44][5300/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1122 (1.7920) Prec@1 50.781 (59.219) Prec@5 75.781 (81.025) Epoch: [44][5310/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5720 (1.7919) Prec@1 63.281 (59.225) Prec@5 82.031 (81.028) Epoch: [44][5320/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.7435 (1.7920) Prec@1 59.375 (59.220) Prec@5 81.250 (81.028) Epoch: [44][5330/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7873 (1.7920) Prec@1 59.375 (59.219) Prec@5 79.688 (81.026) Epoch: [44][5340/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9271 (1.7920) Prec@1 54.688 (59.216) Prec@5 81.250 (81.025) Epoch: [44][5350/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8612 (1.7922) Prec@1 59.375 (59.212) Prec@5 78.125 (81.022) Epoch: [44][5360/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6375 (1.7923) Prec@1 64.844 (59.211) Prec@5 83.594 (81.022) Epoch: [44][5370/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9217 (1.7924) Prec@1 60.938 (59.209) Prec@5 78.125 (81.020) Epoch: [44][5380/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.0264 (1.7924) Prec@1 55.469 (59.208) Prec@5 78.125 (81.019) Epoch: [44][5390/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0606 (1.7925) Prec@1 53.906 (59.210) Prec@5 78.125 (81.019) Epoch: [44][5400/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0688 (1.7925) Prec@1 53.906 (59.211) Prec@5 75.781 (81.018) Epoch: [44][5410/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.6202 (1.7926) Prec@1 57.031 (59.209) Prec@5 82.031 (81.018) Epoch: [44][5420/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.7575 (1.7925) Prec@1 62.500 (59.211) Prec@5 78.906 (81.021) Epoch: [44][5430/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.6475 (1.7923) Prec@1 59.375 (59.211) Prec@5 83.594 (81.023) Epoch: [44][5440/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.9556 (1.7923) Prec@1 55.469 (59.210) Prec@5 79.688 (81.025) Epoch: [44][5450/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9218 (1.7923) Prec@1 54.688 (59.208) Prec@5 77.344 (81.025) Epoch: [44][5460/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.8823 (1.7922) Prec@1 58.594 (59.210) Prec@5 79.688 (81.024) Epoch: [44][5470/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.9648 (1.7923) Prec@1 53.125 (59.207) Prec@5 78.125 (81.022) Epoch: [44][5480/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.7433 (1.7922) Prec@1 61.719 (59.210) Prec@5 80.469 (81.024) Epoch: [44][5490/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8519 (1.7922) Prec@1 57.812 (59.210) Prec@5 79.688 (81.022) Epoch: [44][5500/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.7616 (1.7923) Prec@1 60.938 (59.210) Prec@5 85.156 (81.022) Epoch: [44][5510/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.8109 (1.7923) Prec@1 56.250 (59.209) Prec@5 82.812 (81.019) Epoch: [44][5520/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.6536 (1.7923) Prec@1 63.281 (59.210) Prec@5 78.125 (81.019) Epoch: [44][5530/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8530 (1.7923) Prec@1 57.812 (59.211) Prec@5 84.375 (81.019) Epoch: [44][5540/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.6648 (1.7923) Prec@1 67.188 (59.209) Prec@5 84.375 (81.019) Epoch: [44][5550/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.9831 (1.7925) Prec@1 53.906 (59.206) Prec@5 76.562 (81.014) Epoch: [44][5560/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.8924 (1.7924) Prec@1 53.906 (59.207) Prec@5 78.906 (81.013) Epoch: [44][5570/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7977 (1.7924) Prec@1 54.688 (59.208) Prec@5 85.156 (81.012) Epoch: [44][5580/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.6639 (1.7924) Prec@1 57.812 (59.210) Prec@5 85.156 (81.015) Epoch: [44][5590/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.6534 (1.7923) Prec@1 61.719 (59.212) Prec@5 83.594 (81.019) Epoch: [44][5600/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.8165 (1.7922) Prec@1 57.812 (59.210) Prec@5 84.375 (81.019) Epoch: [44][5610/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8881 (1.7922) Prec@1 60.156 (59.209) Prec@5 78.906 (81.020) Epoch: [44][5620/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 1.7819 (1.7921) Prec@1 59.375 (59.212) Prec@5 79.688 (81.021) Epoch: [44][5630/10010] Time 0.335 (0.330) Data 0.001 (0.001) Loss 1.6386 (1.7920) Prec@1 59.375 (59.214) Prec@5 85.938 (81.023) Epoch: [44][5640/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.6983 (1.7919) Prec@1 57.031 (59.213) Prec@5 82.031 (81.025) Epoch: [44][5650/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.9974 (1.7919) Prec@1 53.906 (59.213) Prec@5 78.125 (81.025) Epoch: [44][5660/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8553 (1.7920) Prec@1 56.250 (59.212) Prec@5 78.906 (81.022) Epoch: [44][5670/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.6172 (1.7920) Prec@1 59.375 (59.213) Prec@5 85.156 (81.021) Epoch: [44][5680/10010] Time 0.342 (0.330) Data 0.001 (0.001) Loss 1.9800 (1.7920) Prec@1 55.469 (59.211) Prec@5 77.344 (81.022) Epoch: [44][5690/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.9336 (1.7921) Prec@1 54.688 (59.210) Prec@5 78.906 (81.022) Epoch: [44][5700/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8448 (1.7921) Prec@1 53.906 (59.208) Prec@5 80.469 (81.023) Epoch: [44][5710/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.7346 (1.7919) Prec@1 60.156 (59.214) Prec@5 78.906 (81.024) Epoch: [44][5720/10010] Time 0.316 (0.330) Data 0.001 (0.001) Loss 1.6912 (1.7918) Prec@1 63.281 (59.217) Prec@5 80.469 (81.023) Epoch: [44][5730/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6125 (1.7919) Prec@1 60.938 (59.213) Prec@5 85.938 (81.024) Epoch: [44][5740/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.6269 (1.7918) Prec@1 61.719 (59.216) Prec@5 83.594 (81.025) Epoch: [44][5750/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.5031 (1.7916) Prec@1 65.625 (59.221) Prec@5 83.594 (81.028) Epoch: [44][5760/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9178 (1.7918) Prec@1 60.938 (59.217) Prec@5 79.688 (81.026) Epoch: [44][5770/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.7712 (1.7918) Prec@1 63.281 (59.218) Prec@5 78.906 (81.025) Epoch: [44][5780/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.2078 (1.7919) Prec@1 52.344 (59.217) Prec@5 75.000 (81.023) Epoch: [44][5790/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.7156 (1.7919) Prec@1 59.375 (59.217) Prec@5 83.594 (81.024) Epoch: [44][5800/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.7005 (1.7919) Prec@1 58.594 (59.217) Prec@5 81.250 (81.022) Epoch: [44][5810/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7629 (1.7919) Prec@1 56.250 (59.215) Prec@5 82.031 (81.024) Epoch: [44][5820/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.4969 (1.7920) Prec@1 64.844 (59.214) Prec@5 85.156 (81.024) Epoch: [44][5830/10010] Time 0.315 (0.330) Data 0.000 (0.001) Loss 1.5369 (1.7918) Prec@1 63.281 (59.216) Prec@5 85.938 (81.029) Epoch: [44][5840/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 2.1678 (1.7917) Prec@1 56.250 (59.219) Prec@5 75.781 (81.030) Epoch: [44][5850/10010] Time 0.344 (0.330) Data 0.000 (0.001) Loss 2.2633 (1.7919) Prec@1 50.000 (59.216) Prec@5 74.219 (81.027) Epoch: [44][5860/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.5926 (1.7919) Prec@1 58.594 (59.215) Prec@5 82.812 (81.026) Epoch: [44][5870/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.9059 (1.7918) Prec@1 59.375 (59.215) Prec@5 80.469 (81.029) Epoch: [44][5880/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.4668 (1.7919) Prec@1 63.281 (59.215) Prec@5 90.625 (81.028) Epoch: [44][5890/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.8880 (1.7920) Prec@1 53.125 (59.214) Prec@5 78.906 (81.027) Epoch: [44][5900/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 2.0070 (1.7920) Prec@1 55.469 (59.211) Prec@5 76.562 (81.027) Epoch: [44][5910/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.8199 (1.7921) Prec@1 63.281 (59.211) Prec@5 81.250 (81.026) Epoch: [44][5920/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.6844 (1.7920) Prec@1 62.500 (59.214) Prec@5 81.250 (81.026) Epoch: [44][5930/10010] Time 0.334 (0.330) Data 0.000 (0.001) Loss 1.8277 (1.7919) Prec@1 61.719 (59.218) Prec@5 78.125 (81.028) Epoch: [44][5940/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8063 (1.7920) Prec@1 60.938 (59.217) Prec@5 80.469 (81.027) Epoch: [44][5950/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 2.2130 (1.7920) Prec@1 54.688 (59.217) Prec@5 76.562 (81.028) Epoch: [44][5960/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8576 (1.7920) Prec@1 59.375 (59.219) Prec@5 79.688 (81.026) Epoch: [44][5970/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 2.0414 (1.7922) Prec@1 56.250 (59.214) Prec@5 78.125 (81.023) Epoch: [44][5980/10010] Time 0.337 (0.330) Data 0.001 (0.001) Loss 2.1284 (1.7924) Prec@1 50.000 (59.210) Prec@5 78.125 (81.021) Epoch: [44][5990/10010] Time 0.314 (0.330) Data 0.000 (0.001) Loss 1.7609 (1.7924) Prec@1 58.594 (59.208) Prec@5 82.031 (81.023) Epoch: [44][6000/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.5712 (1.7924) Prec@1 60.156 (59.208) Prec@5 88.281 (81.022) Epoch: [44][6010/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 2.1285 (1.7926) Prec@1 50.781 (59.203) Prec@5 75.000 (81.019) Epoch: [44][6020/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.4434 (1.7925) Prec@1 69.531 (59.205) Prec@5 88.281 (81.023) Epoch: [44][6030/10010] Time 0.330 (0.330) Data 0.001 (0.001) Loss 1.7756 (1.7926) Prec@1 60.938 (59.201) Prec@5 82.812 (81.021) Epoch: [44][6040/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.7655 (1.7927) Prec@1 58.594 (59.200) Prec@5 82.031 (81.018) Epoch: [44][6050/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 2.0271 (1.7928) Prec@1 50.000 (59.195) Prec@5 79.688 (81.016) Epoch: [44][6060/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8224 (1.7928) Prec@1 58.594 (59.196) Prec@5 82.031 (81.018) Epoch: [44][6070/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.7424 (1.7927) Prec@1 60.938 (59.197) Prec@5 81.250 (81.018) Epoch: [44][6080/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.6475 (1.7925) Prec@1 64.844 (59.203) Prec@5 83.594 (81.019) Epoch: [44][6090/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.6719 (1.7926) Prec@1 60.156 (59.201) Prec@5 82.031 (81.017) Epoch: [44][6100/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.9339 (1.7926) Prec@1 53.906 (59.200) Prec@5 81.250 (81.019) Epoch: [44][6110/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.9068 (1.7927) Prec@1 56.250 (59.198) Prec@5 76.562 (81.016) Epoch: [44][6120/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.6223 (1.7925) Prec@1 64.844 (59.198) Prec@5 79.688 (81.017) Epoch: [44][6130/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.5941 (1.7925) Prec@1 61.719 (59.200) Prec@5 85.938 (81.020) Epoch: [44][6140/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.9666 (1.7925) Prec@1 60.156 (59.200) Prec@5 78.906 (81.019) Epoch: [44][6150/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.9369 (1.7925) Prec@1 55.469 (59.198) Prec@5 78.125 (81.019) Epoch: [44][6160/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.5652 (1.7925) Prec@1 62.500 (59.197) Prec@5 87.500 (81.020) Epoch: [44][6170/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.6432 (1.7927) Prec@1 61.719 (59.196) Prec@5 80.469 (81.015) Epoch: [44][6180/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 2.1885 (1.7928) Prec@1 54.688 (59.196) Prec@5 74.219 (81.014) Epoch: [44][6190/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 2.0416 (1.7930) Prec@1 58.594 (59.194) Prec@5 73.438 (81.010) Epoch: [44][6200/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.7497 (1.7929) Prec@1 54.688 (59.193) Prec@5 85.156 (81.012) Epoch: [44][6210/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.8146 (1.7929) Prec@1 61.719 (59.197) Prec@5 77.344 (81.012) Epoch: [44][6220/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.6432 (1.7930) Prec@1 62.500 (59.195) Prec@5 85.938 (81.012) Epoch: [44][6230/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.7913 (1.7930) Prec@1 61.719 (59.196) Prec@5 78.906 (81.010) Epoch: [44][6240/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.6818 (1.7929) Prec@1 64.062 (59.201) Prec@5 82.031 (81.010) Epoch: [44][6250/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.4189 (1.7929) Prec@1 61.719 (59.200) Prec@5 85.938 (81.009) Epoch: [44][6260/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.7735 (1.7930) Prec@1 59.375 (59.196) Prec@5 82.812 (81.008) Epoch: [44][6270/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.5050 (1.7928) Prec@1 63.281 (59.198) Prec@5 85.156 (81.008) Epoch: [44][6280/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.7559 (1.7928) Prec@1 62.500 (59.200) Prec@5 82.812 (81.006) Epoch: [44][6290/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.6096 (1.7927) Prec@1 61.719 (59.204) Prec@5 82.812 (81.008) Epoch: [44][6300/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8888 (1.7927) Prec@1 61.719 (59.205) Prec@5 78.906 (81.009) Epoch: [44][6310/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.6909 (1.7927) Prec@1 62.500 (59.205) Prec@5 79.688 (81.009) Epoch: [44][6320/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.7724 (1.7928) Prec@1 60.156 (59.204) Prec@5 83.594 (81.010) Epoch: [44][6330/10010] Time 0.324 (0.330) Data 0.005 (0.001) Loss 1.8748 (1.7929) Prec@1 58.594 (59.203) Prec@5 81.250 (81.008) Epoch: [44][6340/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7621 (1.7928) Prec@1 60.156 (59.205) Prec@5 81.250 (81.009) Epoch: [44][6350/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.8079 (1.7929) Prec@1 58.594 (59.204) Prec@5 83.594 (81.007) Epoch: [44][6360/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.5829 (1.7931) Prec@1 68.750 (59.203) Prec@5 86.719 (81.005) Epoch: [44][6370/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.8536 (1.7932) Prec@1 62.500 (59.201) Prec@5 84.375 (81.004) Epoch: [44][6380/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8890 (1.7933) Prec@1 54.688 (59.198) Prec@5 80.469 (81.003) Epoch: [44][6390/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.7470 (1.7933) Prec@1 62.500 (59.199) Prec@5 84.375 (81.004) Epoch: [44][6400/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 1.8777 (1.7933) Prec@1 54.688 (59.201) Prec@5 79.688 (81.003) Epoch: [44][6410/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.8290 (1.7933) Prec@1 66.406 (59.203) Prec@5 80.469 (81.001) Epoch: [44][6420/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.6405 (1.7933) Prec@1 67.188 (59.204) Prec@5 82.031 (81.000) Epoch: [44][6430/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.6612 (1.7934) Prec@1 62.500 (59.202) Prec@5 84.375 (80.999) Epoch: [44][6440/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.7842 (1.7935) Prec@1 59.375 (59.201) Prec@5 82.812 (80.998) /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][6450/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 2.0874 (1.7935) Prec@1 52.344 (59.199) Prec@5 74.219 (80.996) Epoch: [44][6460/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.0182 (1.7935) Prec@1 55.469 (59.198) Prec@5 78.906 (80.998) Epoch: [44][6470/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.5951 (1.7935) Prec@1 56.250 (59.195) Prec@5 82.812 (80.995) Epoch: [44][6480/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.8703 (1.7936) Prec@1 54.688 (59.194) Prec@5 83.594 (80.993) Epoch: [44][6490/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.8416 (1.7937) Prec@1 56.250 (59.191) Prec@5 82.812 (80.991) Epoch: [44][6500/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.8514 (1.7937) Prec@1 57.031 (59.191) Prec@5 76.562 (80.991) Epoch: [44][6510/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.9010 (1.7936) Prec@1 59.375 (59.193) Prec@5 77.344 (80.993) Epoch: [44][6520/10010] Time 0.331 (0.330) Data 0.001 (0.001) Loss 1.6083 (1.7936) Prec@1 60.938 (59.193) Prec@5 85.156 (80.993) Epoch: [44][6530/10010] Time 0.318 (0.330) Data 0.000 (0.001) Loss 1.9431 (1.7936) Prec@1 57.031 (59.193) Prec@5 81.250 (80.996) Epoch: [44][6540/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.8729 (1.7936) Prec@1 52.344 (59.190) Prec@5 78.906 (80.996) Epoch: [44][6550/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.5599 (1.7935) Prec@1 60.938 (59.194) Prec@5 88.281 (81.000) Epoch: [44][6560/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.4865 (1.7935) Prec@1 60.938 (59.194) Prec@5 85.938 (81.000) Epoch: [44][6570/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7160 (1.7937) Prec@1 61.719 (59.192) Prec@5 78.125 (80.998) Epoch: [44][6580/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.9221 (1.7938) Prec@1 57.812 (59.189) Prec@5 78.906 (80.996) Epoch: [44][6590/10010] Time 0.336 (0.330) Data 0.001 (0.001) Loss 1.9314 (1.7939) Prec@1 57.031 (59.187) Prec@5 78.125 (80.995) Epoch: [44][6600/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.8409 (1.7938) Prec@1 52.344 (59.186) Prec@5 79.688 (80.996) Epoch: [44][6610/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.6930 (1.7938) Prec@1 60.156 (59.184) Prec@5 80.469 (80.995) Epoch: [44][6620/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.6295 (1.7938) Prec@1 63.281 (59.185) Prec@5 78.906 (80.994) Epoch: [44][6630/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.9453 (1.7937) Prec@1 55.469 (59.187) Prec@5 80.469 (80.995) Epoch: [44][6640/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 2.1678 (1.7937) Prec@1 57.031 (59.189) Prec@5 71.875 (80.993) Epoch: [44][6650/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.8530 (1.7936) Prec@1 53.906 (59.189) Prec@5 75.000 (80.994) Epoch: [44][6660/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8580 (1.7936) Prec@1 59.375 (59.189) Prec@5 77.344 (80.992) Epoch: [44][6670/10010] Time 0.338 (0.330) Data 0.001 (0.001) Loss 1.8677 (1.7936) Prec@1 52.344 (59.189) Prec@5 75.000 (80.991) Epoch: [44][6680/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.7355 (1.7938) Prec@1 60.156 (59.187) Prec@5 82.031 (80.991) Epoch: [44][6690/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.9177 (1.7939) Prec@1 57.031 (59.185) Prec@5 75.000 (80.988) Epoch: [44][6700/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.7981 (1.7939) Prec@1 57.812 (59.184) Prec@5 78.906 (80.985) Epoch: [44][6710/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.9627 (1.7940) Prec@1 55.469 (59.183) Prec@5 79.688 (80.983) Epoch: [44][6720/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.8545 (1.7940) Prec@1 59.375 (59.184) Prec@5 82.812 (80.984) Epoch: [44][6730/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.6797 (1.7940) Prec@1 63.281 (59.188) Prec@5 85.156 (80.984) Epoch: [44][6740/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.7972 (1.7941) Prec@1 56.250 (59.187) Prec@5 81.250 (80.983) Epoch: [44][6750/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.9128 (1.7941) Prec@1 58.594 (59.189) Prec@5 78.125 (80.983) Epoch: [44][6760/10010] Time 0.335 (0.330) Data 0.000 (0.001) Loss 1.6634 (1.7940) Prec@1 57.031 (59.187) Prec@5 84.375 (80.985) Epoch: [44][6770/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.6345 (1.7940) Prec@1 64.062 (59.188) Prec@5 82.812 (80.985) Epoch: [44][6780/10010] Time 0.329 (0.330) Data 0.000 (0.001) Loss 1.9174 (1.7940) Prec@1 58.594 (59.187) Prec@5 75.781 (80.984) Epoch: [44][6790/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.9519 (1.7941) Prec@1 52.344 (59.188) Prec@5 76.562 (80.983) Epoch: [44][6800/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8913 (1.7941) Prec@1 58.594 (59.190) Prec@5 79.688 (80.983) Epoch: [44][6810/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.8589 (1.7940) Prec@1 58.594 (59.190) Prec@5 82.031 (80.984) Epoch: [44][6820/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.6681 (1.7940) Prec@1 61.719 (59.191) Prec@5 84.375 (80.986) Epoch: [44][6830/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.9507 (1.7940) Prec@1 50.000 (59.188) Prec@5 80.469 (80.987) Epoch: [44][6840/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 2.0187 (1.7941) Prec@1 55.469 (59.184) Prec@5 79.688 (80.986) Epoch: [44][6850/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.7038 (1.7941) Prec@1 64.844 (59.185) Prec@5 81.250 (80.985) Epoch: [44][6860/10010] Time 0.344 (0.330) Data 0.001 (0.001) Loss 1.6130 (1.7942) Prec@1 56.250 (59.186) Prec@5 83.594 (80.984) Epoch: [44][6870/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.8642 (1.7942) Prec@1 55.469 (59.186) Prec@5 82.812 (80.986) Epoch: [44][6880/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.8629 (1.7941) Prec@1 60.938 (59.188) Prec@5 82.031 (80.986) Epoch: [44][6890/10010] Time 0.324 (0.330) Data 0.000 (0.001) Loss 1.5867 (1.7941) Prec@1 57.812 (59.189) Prec@5 85.156 (80.985) Epoch: [44][6900/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.5414 (1.7942) Prec@1 60.938 (59.187) Prec@5 83.594 (80.984) Epoch: [44][6910/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.9610 (1.7942) Prec@1 50.781 (59.185) Prec@5 82.031 (80.984) Epoch: [44][6920/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.9277 (1.7942) Prec@1 53.906 (59.182) Prec@5 80.469 (80.983) Epoch: [44][6930/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 1.9013 (1.7942) Prec@1 57.031 (59.182) Prec@5 81.250 (80.984) Epoch: [44][6940/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.7549 (1.7943) Prec@1 65.625 (59.182) Prec@5 81.250 (80.983) Epoch: [44][6950/10010] Time 0.328 (0.330) Data 0.001 (0.001) Loss 1.8586 (1.7943) Prec@1 53.906 (59.181) Prec@5 79.688 (80.983) Epoch: [44][6960/10010] Time 0.325 (0.330) Data 0.000 (0.001) Loss 1.7496 (1.7944) Prec@1 59.375 (59.179) Prec@5 80.469 (80.981) Epoch: [44][6970/10010] Time 0.332 (0.330) Data 0.000 (0.001) Loss 1.8664 (1.7946) Prec@1 55.469 (59.175) Prec@5 78.906 (80.979) Epoch: [44][6980/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.5518 (1.7944) Prec@1 66.406 (59.177) Prec@5 85.156 (80.982) Epoch: [44][6990/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.7681 (1.7946) Prec@1 57.812 (59.172) Prec@5 78.906 (80.979) Epoch: [44][7000/10010] Time 0.343 (0.330) Data 0.001 (0.001) Loss 1.7448 (1.7947) Prec@1 53.906 (59.171) Prec@5 81.250 (80.977) Epoch: [44][7010/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.7156 (1.7946) Prec@1 60.156 (59.174) Prec@5 82.031 (80.979) Epoch: [44][7020/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.6683 (1.7946) Prec@1 61.719 (59.172) Prec@5 83.594 (80.979) Epoch: [44][7030/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.6953 (1.7945) Prec@1 61.719 (59.172) Prec@5 78.125 (80.982) Epoch: [44][7040/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.8230 (1.7945) Prec@1 58.594 (59.171) Prec@5 78.906 (80.981) Epoch: [44][7050/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.9330 (1.7946) Prec@1 53.125 (59.170) Prec@5 82.031 (80.980) Epoch: [44][7060/10010] Time 0.340 (0.330) Data 0.000 (0.001) Loss 1.6625 (1.7945) Prec@1 63.281 (59.173) Prec@5 80.469 (80.982) Epoch: [44][7070/10010] Time 0.344 (0.330) Data 0.002 (0.001) Loss 1.9763 (1.7944) Prec@1 57.812 (59.174) Prec@5 78.125 (80.985) Epoch: [44][7080/10010] Time 0.332 (0.330) Data 0.001 (0.001) Loss 1.7744 (1.7944) Prec@1 65.625 (59.176) Prec@5 81.250 (80.983) Epoch: [44][7090/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.6016 (1.7944) Prec@1 61.719 (59.175) Prec@5 85.156 (80.984) Epoch: [44][7100/10010] Time 0.322 (0.330) Data 0.000 (0.001) Loss 1.4199 (1.7942) Prec@1 65.625 (59.177) Prec@5 86.719 (80.986) Epoch: [44][7110/10010] Time 0.334 (0.330) Data 0.001 (0.001) Loss 1.5930 (1.7942) Prec@1 59.375 (59.175) Prec@5 82.812 (80.983) Epoch: [44][7120/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.4514 (1.7941) Prec@1 64.844 (59.178) Prec@5 85.156 (80.985) /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][7130/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.6411 (1.7941) Prec@1 62.500 (59.180) Prec@5 82.812 (80.984) Epoch: [44][7140/10010] Time 0.342 (0.330) Data 0.000 (0.001) Loss 1.5442 (1.7940) Prec@1 61.719 (59.180) Prec@5 85.938 (80.985) Epoch: [44][7150/10010] Time 0.347 (0.330) Data 0.000 (0.001) Loss 1.4338 (1.7940) Prec@1 63.281 (59.179) Prec@5 88.281 (80.986) Epoch: [44][7160/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.8001 (1.7939) Prec@1 60.156 (59.182) Prec@5 82.031 (80.988) Epoch: [44][7170/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.3589 (1.7939) Prec@1 71.094 (59.183) Prec@5 89.062 (80.988) Epoch: [44][7180/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.9565 (1.7938) Prec@1 57.031 (59.187) Prec@5 82.812 (80.988) Epoch: [44][7190/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.6527 (1.7939) Prec@1 67.188 (59.186) Prec@5 83.594 (80.985) Epoch: [44][7200/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.7148 (1.7937) Prec@1 61.719 (59.190) Prec@5 81.250 (80.986) Epoch: [44][7210/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 1.4911 (1.7938) Prec@1 62.500 (59.190) Prec@5 82.812 (80.986) Epoch: [44][7220/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.8574 (1.7937) Prec@1 55.469 (59.190) Prec@5 78.906 (80.987) Epoch: [44][7230/10010] Time 0.319 (0.330) Data 0.000 (0.001) Loss 1.4861 (1.7938) Prec@1 67.969 (59.191) Prec@5 85.156 (80.986) Epoch: [44][7240/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.5560 (1.7939) Prec@1 63.281 (59.188) Prec@5 85.156 (80.986) Epoch: [44][7250/10010] Time 0.326 (0.330) Data 0.000 (0.001) Loss 1.5599 (1.7940) Prec@1 60.938 (59.187) Prec@5 83.594 (80.985) Epoch: [44][7260/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.9726 (1.7939) Prec@1 57.812 (59.190) Prec@5 75.000 (80.984) Epoch: [44][7270/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8070 (1.7940) Prec@1 57.812 (59.190) Prec@5 79.688 (80.983) Epoch: [44][7280/10010] Time 0.345 (0.330) Data 0.001 (0.001) Loss 1.7406 (1.7940) Prec@1 64.844 (59.189) Prec@5 78.906 (80.984) Epoch: [44][7290/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.8085 (1.7940) Prec@1 58.594 (59.190) Prec@5 83.594 (80.983) Epoch: [44][7300/10010] Time 0.320 (0.330) Data 0.001 (0.001) Loss 1.6575 (1.7939) Prec@1 58.594 (59.191) Prec@5 84.375 (80.983) Epoch: [44][7310/10010] Time 0.346 (0.330) Data 0.000 (0.001) Loss 1.8617 (1.7940) Prec@1 58.594 (59.190) Prec@5 79.688 (80.983) Epoch: [44][7320/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 2.3182 (1.7940) Prec@1 50.000 (59.189) Prec@5 72.656 (80.982) Epoch: [44][7330/10010] Time 0.339 (0.330) Data 0.001 (0.001) Loss 1.8368 (1.7941) Prec@1 54.688 (59.188) Prec@5 82.031 (80.981) Epoch: [44][7340/10010] Time 0.333 (0.330) Data 0.001 (0.001) Loss 1.6659 (1.7940) Prec@1 58.594 (59.189) Prec@5 82.812 (80.982) Epoch: [44][7350/10010] Time 0.348 (0.330) Data 0.000 (0.001) Loss 1.7671 (1.7940) Prec@1 61.719 (59.189) Prec@5 81.250 (80.981) Epoch: [44][7360/10010] Time 0.322 (0.330) Data 0.001 (0.001) Loss 1.8914 (1.7941) Prec@1 57.031 (59.189) Prec@5 79.688 (80.981) Epoch: [44][7370/10010] Time 0.341 (0.330) Data 0.000 (0.001) Loss 1.8330 (1.7942) Prec@1 60.156 (59.188) Prec@5 82.812 (80.980) Epoch: [44][7380/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.3427 (1.7942) Prec@1 68.750 (59.186) Prec@5 87.500 (80.980) Epoch: [44][7390/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8260 (1.7942) Prec@1 63.281 (59.186) Prec@5 81.250 (80.978) Epoch: [44][7400/10010] Time 0.337 (0.330) Data 0.000 (0.001) Loss 1.8565 (1.7943) Prec@1 56.250 (59.184) Prec@5 82.812 (80.980) Epoch: [44][7410/10010] Time 0.328 (0.330) Data 0.000 (0.001) Loss 1.7665 (1.7944) Prec@1 60.938 (59.182) Prec@5 78.906 (80.977) Epoch: [44][7420/10010] Time 0.329 (0.330) Data 0.001 (0.001) Loss 1.6639 (1.7945) Prec@1 62.500 (59.182) Prec@5 80.469 (80.976) Epoch: [44][7430/10010] Time 0.336 (0.330) Data 0.000 (0.001) Loss 1.9432 (1.7945) Prec@1 57.812 (59.181) Prec@5 78.906 (80.976) Epoch: [44][7440/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9808 (1.7945) Prec@1 54.688 (59.181) Prec@5 78.125 (80.976) Epoch: [44][7450/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6606 (1.7945) Prec@1 59.375 (59.182) Prec@5 79.688 (80.977) Epoch: [44][7460/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6825 (1.7945) Prec@1 60.156 (59.182) Prec@5 79.688 (80.976) Epoch: [44][7470/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8295 (1.7946) Prec@1 57.031 (59.180) Prec@5 83.594 (80.974) Epoch: [44][7480/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.4748 (1.7946) Prec@1 64.844 (59.178) Prec@5 87.500 (80.974) Epoch: [44][7490/10010] Time 0.331 (0.330) Data 0.000 (0.001) Loss 1.7118 (1.7946) Prec@1 57.812 (59.177) Prec@5 79.688 (80.974) Epoch: [44][7500/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0756 (1.7946) Prec@1 56.250 (59.175) Prec@5 74.219 (80.974) Epoch: [44][7510/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7932 (1.7946) Prec@1 60.156 (59.174) Prec@5 82.812 (80.974) Epoch: [44][7520/10010] Time 0.327 (0.330) Data 0.001 (0.001) Loss 1.9839 (1.7949) Prec@1 52.344 (59.169) Prec@5 76.562 (80.969) Epoch: [44][7530/10010] Time 0.341 (0.330) Data 0.001 (0.001) Loss 1.7808 (1.7949) Prec@1 56.250 (59.171) Prec@5 82.031 (80.969) Epoch: [44][7540/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.8497 (1.7948) Prec@1 59.375 (59.170) Prec@5 80.469 (80.970) Epoch: [44][7550/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8740 (1.7948) Prec@1 55.469 (59.169) Prec@5 76.562 (80.969) Epoch: [44][7560/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6172 (1.7948) Prec@1 61.719 (59.169) Prec@5 80.469 (80.968) /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][7570/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6623 (1.7948) Prec@1 57.812 (59.168) Prec@5 84.375 (80.969) Epoch: [44][7580/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7264 (1.7948) Prec@1 62.500 (59.169) Prec@5 82.812 (80.969) Epoch: [44][7590/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 2.0446 (1.7947) Prec@1 50.000 (59.169) Prec@5 75.000 (80.969) Epoch: [44][7600/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0437 (1.7947) Prec@1 55.469 (59.170) Prec@5 77.344 (80.969) Epoch: [44][7610/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7394 (1.7947) Prec@1 62.500 (59.173) Prec@5 80.469 (80.971) Epoch: [44][7620/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.4971 (1.7946) Prec@1 64.062 (59.175) Prec@5 86.719 (80.973) Epoch: [44][7630/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6064 (1.7945) Prec@1 57.812 (59.177) Prec@5 85.156 (80.974) Epoch: [44][7640/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.8486 (1.7944) Prec@1 53.125 (59.180) Prec@5 78.125 (80.974) Epoch: [44][7650/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8344 (1.7943) Prec@1 56.250 (59.180) Prec@5 80.469 (80.974) Epoch: [44][7660/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9612 (1.7943) Prec@1 62.500 (59.180) Prec@5 78.125 (80.974) Epoch: [44][7670/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.6097 (1.7943) Prec@1 60.938 (59.179) Prec@5 82.031 (80.975) Epoch: [44][7680/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8718 (1.7944) Prec@1 57.812 (59.179) Prec@5 78.125 (80.974) Epoch: [44][7690/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0168 (1.7944) Prec@1 52.344 (59.177) Prec@5 78.125 (80.973) Epoch: [44][7700/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.8624 (1.7942) Prec@1 60.938 (59.181) Prec@5 80.469 (80.977) Epoch: [44][7710/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.6998 (1.7941) Prec@1 61.719 (59.183) Prec@5 82.031 (80.978) Epoch: [44][7720/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.5055 (1.7942) Prec@1 67.969 (59.182) Prec@5 84.375 (80.977) Epoch: [44][7730/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 2.0008 (1.7942) Prec@1 54.688 (59.182) Prec@5 76.562 (80.978) Epoch: [44][7740/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8232 (1.7942) Prec@1 59.375 (59.180) Prec@5 85.938 (80.979) Epoch: [44][7750/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9867 (1.7942) Prec@1 53.125 (59.179) Prec@5 77.344 (80.977) Epoch: [44][7760/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.7665 (1.7941) Prec@1 58.594 (59.182) Prec@5 79.688 (80.979) Epoch: [44][7770/10010] Time 0.333 (0.330) Data 0.000 (0.001) Loss 2.0049 (1.7941) Prec@1 54.688 (59.182) Prec@5 75.000 (80.979) Epoch: [44][7780/10010] Time 0.325 (0.330) Data 0.001 (0.001) Loss 1.8557 (1.7943) Prec@1 60.938 (59.181) Prec@5 80.469 (80.977) Epoch: [44][7790/10010] Time 0.327 (0.330) Data 0.000 (0.001) Loss 1.9824 (1.7944) Prec@1 57.812 (59.182) Prec@5 82.812 (80.978) Epoch: [44][7800/10010] Time 0.317 (0.330) Data 0.001 (0.001) Loss 1.9276 (1.7945) Prec@1 57.031 (59.180) Prec@5 75.000 (80.975) Epoch: [44][7810/10010] Time 0.330 (0.330) Data 0.000 (0.001) Loss 1.6716 (1.7944) Prec@1 59.375 (59.181) Prec@5 80.469 (80.976) Epoch: [44][7820/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9313 (1.7945) Prec@1 54.688 (59.180) Prec@5 81.250 (80.975) Epoch: [44][7830/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6820 (1.7944) Prec@1 60.938 (59.178) Prec@5 82.031 (80.976) Epoch: [44][7840/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.4985 (1.7944) Prec@1 64.062 (59.179) Prec@5 84.375 (80.976) Epoch: [44][7850/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6708 (1.7945) Prec@1 60.156 (59.178) Prec@5 82.812 (80.976) Epoch: [44][7860/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8686 (1.7945) Prec@1 57.812 (59.177) Prec@5 82.031 (80.977) Epoch: [44][7870/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8203 (1.7945) Prec@1 58.594 (59.175) Prec@5 79.688 (80.976) Epoch: [44][7880/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0796 (1.7945) Prec@1 51.562 (59.175) Prec@5 76.562 (80.976) Epoch: [44][7890/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8677 (1.7945) Prec@1 56.250 (59.175) Prec@5 81.250 (80.976) Epoch: [44][7900/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8540 (1.7946) Prec@1 56.250 (59.176) Prec@5 77.344 (80.973) Epoch: [44][7910/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8298 (1.7947) Prec@1 64.062 (59.174) Prec@5 83.594 (80.972) Epoch: [44][7920/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7383 (1.7947) Prec@1 60.938 (59.174) Prec@5 81.250 (80.972) Epoch: [44][7930/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8098 (1.7946) Prec@1 60.156 (59.175) Prec@5 82.031 (80.973) Epoch: [44][7940/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.4433 (1.7946) Prec@1 65.625 (59.176) Prec@5 84.375 (80.973) Epoch: [44][7950/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.5269 (1.7946) Prec@1 64.844 (59.176) Prec@5 83.594 (80.972) Epoch: [44][7960/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.8162 (1.7946) Prec@1 62.500 (59.175) Prec@5 77.344 (80.972) Epoch: [44][7970/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.6032 (1.7947) Prec@1 59.375 (59.175) Prec@5 82.812 (80.971) Epoch: [44][7980/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9133 (1.7946) Prec@1 57.031 (59.177) Prec@5 82.812 (80.973) Epoch: [44][7990/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.6991 (1.7945) Prec@1 60.156 (59.178) Prec@5 82.031 (80.974) Epoch: [44][8000/10010] Time 0.315 (0.330) Data 0.001 (0.001) Loss 1.6101 (1.7944) Prec@1 64.062 (59.180) Prec@5 82.031 (80.976) Epoch: [44][8010/10010] Time 0.338 (0.330) Data 0.000 (0.001) Loss 1.7523 (1.7943) Prec@1 56.250 (59.182) Prec@5 80.469 (80.978) Epoch: [44][8020/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8047 (1.7944) Prec@1 62.500 (59.181) Prec@5 82.031 (80.978) Epoch: [44][8030/10010] Time 0.314 (0.330) Data 0.000 (0.001) Loss 1.8417 (1.7945) Prec@1 55.469 (59.178) Prec@5 82.031 (80.978) Epoch: [44][8040/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6412 (1.7943) Prec@1 61.719 (59.180) Prec@5 82.031 (80.981) Epoch: [44][8050/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8013 (1.7943) Prec@1 59.375 (59.180) Prec@5 78.906 (80.982) Epoch: [44][8060/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9575 (1.7943) Prec@1 53.125 (59.178) Prec@5 79.688 (80.981) Epoch: [44][8070/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.4885 (1.7941) Prec@1 65.625 (59.181) Prec@5 85.938 (80.984) Epoch: [44][8080/10010] Time 0.323 (0.330) Data 0.001 (0.001) Loss 1.6191 (1.7941) Prec@1 65.625 (59.182) Prec@5 83.594 (80.986) Epoch: [44][8090/10010] Time 0.326 (0.330) Data 0.001 (0.001) Loss 1.7245 (1.7941) Prec@1 57.812 (59.180) Prec@5 82.031 (80.987) Epoch: [44][8100/10010] Time 0.339 (0.330) Data 0.000 (0.001) Loss 2.0978 (1.7942) Prec@1 55.469 (59.178) Prec@5 75.781 (80.985) Epoch: [44][8110/10010] Time 0.318 (0.330) Data 0.001 (0.001) Loss 1.7948 (1.7942) Prec@1 64.062 (59.179) Prec@5 81.250 (80.985) Epoch: [44][8120/10010] Time 0.321 (0.330) Data 0.001 (0.001) Loss 1.9801 (1.7942) Prec@1 53.125 (59.178) Prec@5 81.250 (80.985) Epoch: [44][8130/10010] Time 0.348 (0.330) Data 0.001 (0.001) Loss 1.9659 (1.7943) Prec@1 57.812 (59.178) Prec@5 81.250 (80.984) Epoch: [44][8140/10010] Time 0.343 (0.330) Data 0.000 (0.001) Loss 1.5109 (1.7942) Prec@1 62.500 (59.179) Prec@5 87.500 (80.986) Epoch: [44][8150/10010] Time 0.340 (0.330) Data 0.001 (0.001) Loss 1.8818 (1.7943) Prec@1 57.031 (59.178) Prec@5 75.781 (80.984) Epoch: [44][8160/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7667 (1.7943) Prec@1 62.500 (59.178) Prec@5 78.906 (80.984) Epoch: [44][8170/10010] Time 0.321 (0.330) Data 0.000 (0.001) Loss 2.1427 (1.7943) Prec@1 53.906 (59.176) Prec@5 75.781 (80.983) Epoch: [44][8180/10010] Time 0.319 (0.330) Data 0.001 (0.001) Loss 1.8279 (1.7944) Prec@1 58.594 (59.175) Prec@5 81.250 (80.981) Epoch: [44][8190/10010] Time 0.324 (0.330) Data 0.001 (0.001) Loss 2.2090 (1.7945) Prec@1 50.781 (59.174) Prec@5 72.656 (80.980) Epoch: [44][8200/10010] Time 0.345 (0.330) Data 0.000 (0.001) Loss 1.7819 (1.7945) Prec@1 62.500 (59.174) Prec@5 78.906 (80.980) Epoch: [44][8210/10010] Time 0.323 (0.330) Data 0.000 (0.001) Loss 1.7033 (1.7945) Prec@1 64.062 (59.175) Prec@5 83.594 (80.981) Epoch: [44][8220/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9484 (1.7946) Prec@1 60.938 (59.176) Prec@5 75.781 (80.980) Epoch: [44][8230/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7735 (1.7946) Prec@1 57.812 (59.176) Prec@5 77.344 (80.979) Epoch: [44][8240/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.9323 (1.7946) Prec@1 57.812 (59.176) Prec@5 78.125 (80.980) Epoch: [44][8250/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.4628 (1.7946) Prec@1 56.250 (59.179) Prec@5 75.000 (80.981) Epoch: [44][8260/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.4947 (1.7946) Prec@1 66.406 (59.177) Prec@5 83.594 (80.982) Epoch: [44][8270/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 2.1040 (1.7946) Prec@1 55.469 (59.177) Prec@5 75.000 (80.983) Epoch: [44][8280/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.5888 (1.7945) Prec@1 61.719 (59.178) Prec@5 82.031 (80.983) Epoch: [44][8290/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6788 (1.7945) Prec@1 64.062 (59.178) Prec@5 82.031 (80.984) Epoch: [44][8300/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.0152 (1.7946) Prec@1 52.344 (59.175) Prec@5 78.125 (80.983) Epoch: [44][8310/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6032 (1.7945) Prec@1 63.281 (59.178) Prec@5 85.156 (80.983) Epoch: [44][8320/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9218 (1.7946) Prec@1 52.344 (59.176) Prec@5 79.688 (80.983) Epoch: [44][8330/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7437 (1.7945) Prec@1 64.062 (59.175) Prec@5 81.250 (80.985) Epoch: [44][8340/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.3824 (1.7946) Prec@1 53.125 (59.174) Prec@5 73.438 (80.983) Epoch: [44][8350/10010] Time 0.316 (0.331) Data 0.000 (0.001) Loss 1.7331 (1.7946) Prec@1 62.500 (59.173) Prec@5 80.469 (80.983) Epoch: [44][8360/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.7657 (1.7945) Prec@1 58.594 (59.173) Prec@5 79.688 (80.985) Epoch: [44][8370/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.9386 (1.7946) Prec@1 57.031 (59.171) Prec@5 81.250 (80.983) Epoch: [44][8380/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8763 (1.7946) Prec@1 57.031 (59.169) Prec@5 78.125 (80.982) Epoch: [44][8390/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9920 (1.7946) Prec@1 55.469 (59.170) Prec@5 76.562 (80.982) Epoch: [44][8400/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9233 (1.7946) Prec@1 55.469 (59.169) Prec@5 76.562 (80.982) Epoch: [44][8410/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0625 (1.7946) Prec@1 51.562 (59.168) Prec@5 76.562 (80.981) Epoch: [44][8420/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9867 (1.7946) Prec@1 54.688 (59.168) Prec@5 76.562 (80.981) Epoch: [44][8430/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.9012 (1.7946) Prec@1 53.906 (59.168) Prec@5 78.906 (80.982) Epoch: [44][8440/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9832 (1.7947) Prec@1 57.812 (59.165) Prec@5 78.906 (80.980) Epoch: [44][8450/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.6650 (1.7946) Prec@1 58.594 (59.165) Prec@5 83.594 (80.981) Epoch: [44][8460/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7592 (1.7946) Prec@1 61.719 (59.164) Prec@5 82.031 (80.980) Epoch: [44][8470/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.5881 (1.7947) Prec@1 60.938 (59.163) Prec@5 85.156 (80.981) Epoch: [44][8480/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7137 (1.7947) Prec@1 60.938 (59.163) Prec@5 80.469 (80.981) Epoch: [44][8490/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5876 (1.7948) Prec@1 62.500 (59.161) Prec@5 83.594 (80.981) Epoch: [44][8500/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.4037 (1.7948) Prec@1 68.750 (59.160) Prec@5 87.500 (80.979) Epoch: [44][8510/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9476 (1.7949) Prec@1 57.812 (59.159) Prec@5 74.219 (80.977) Epoch: [44][8520/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7129 (1.7950) Prec@1 61.719 (59.160) Prec@5 83.594 (80.978) Epoch: [44][8530/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7426 (1.7950) Prec@1 57.812 (59.160) Prec@5 85.938 (80.976) Epoch: [44][8540/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8435 (1.7950) Prec@1 57.812 (59.159) Prec@5 77.344 (80.975) Epoch: [44][8550/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9636 (1.7951) Prec@1 58.594 (59.157) Prec@5 75.781 (80.974) /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: [44][8560/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8435 (1.7951) Prec@1 58.594 (59.157) Prec@5 80.469 (80.974) Epoch: [44][8570/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0244 (1.7952) Prec@1 63.281 (59.157) Prec@5 78.125 (80.972) Epoch: [44][8580/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8331 (1.7952) Prec@1 57.812 (59.155) Prec@5 82.031 (80.973) Epoch: [44][8590/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8722 (1.7952) Prec@1 56.250 (59.156) Prec@5 81.250 (80.973) Epoch: [44][8600/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0360 (1.7953) Prec@1 53.906 (59.154) Prec@5 77.344 (80.971) Epoch: [44][8610/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.5650 (1.7955) Prec@1 63.281 (59.152) Prec@5 87.500 (80.971) Epoch: [44][8620/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6739 (1.7955) Prec@1 60.938 (59.152) Prec@5 85.156 (80.969) Epoch: [44][8630/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7606 (1.7955) Prec@1 60.156 (59.153) Prec@5 78.125 (80.970) Epoch: [44][8640/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9340 (1.7955) Prec@1 55.469 (59.151) Prec@5 75.781 (80.969) Epoch: [44][8650/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9275 (1.7956) Prec@1 55.469 (59.148) Prec@5 80.469 (80.967) Epoch: [44][8660/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9137 (1.7957) Prec@1 57.031 (59.147) Prec@5 78.906 (80.967) Epoch: [44][8670/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7217 (1.7956) Prec@1 60.156 (59.147) Prec@5 85.156 (80.967) Epoch: [44][8680/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.6770 (1.7956) Prec@1 57.812 (59.146) Prec@5 81.250 (80.968) Epoch: [44][8690/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 2.0980 (1.7957) Prec@1 60.156 (59.145) Prec@5 76.562 (80.965) Epoch: [44][8700/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1222 (1.7957) Prec@1 50.781 (59.147) Prec@5 76.562 (80.965) Epoch: [44][8710/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9170 (1.7956) Prec@1 57.031 (59.148) Prec@5 78.906 (80.965) Epoch: [44][8720/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7504 (1.7957) Prec@1 60.938 (59.145) Prec@5 82.031 (80.965) Epoch: [44][8730/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8280 (1.7957) Prec@1 63.281 (59.144) Prec@5 79.688 (80.964) Epoch: [44][8740/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0350 (1.7958) Prec@1 60.156 (59.142) Prec@5 76.562 (80.964) Epoch: [44][8750/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0220 (1.7959) Prec@1 60.156 (59.141) Prec@5 77.344 (80.961) Epoch: [44][8760/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7447 (1.7959) Prec@1 58.594 (59.140) Prec@5 79.688 (80.960) Epoch: [44][8770/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2269 (1.7960) Prec@1 53.125 (59.139) Prec@5 77.344 (80.958) Epoch: [44][8780/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.5966 (1.7958) Prec@1 64.844 (59.143) Prec@5 81.250 (80.960) Epoch: [44][8790/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8780 (1.7958) Prec@1 55.469 (59.145) Prec@5 76.562 (80.961) Epoch: [44][8800/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9950 (1.7957) Prec@1 57.031 (59.147) Prec@5 73.438 (80.962) Epoch: [44][8810/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8416 (1.7958) Prec@1 60.156 (59.147) Prec@5 81.250 (80.961) Epoch: [44][8820/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.5063 (1.7957) Prec@1 61.719 (59.146) Prec@5 88.281 (80.961) Epoch: [44][8830/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.0558 (1.7957) Prec@1 52.344 (59.147) Prec@5 75.781 (80.961) Epoch: [44][8840/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6612 (1.7957) Prec@1 60.938 (59.148) Prec@5 78.906 (80.960) Epoch: [44][8850/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7411 (1.7959) Prec@1 58.594 (59.144) Prec@5 81.250 (80.958) Epoch: [44][8860/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7763 (1.7959) Prec@1 60.156 (59.145) Prec@5 84.375 (80.959) Epoch: [44][8870/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.3300 (1.7958) Prec@1 64.062 (59.148) Prec@5 87.500 (80.960) Epoch: [44][8880/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7022 (1.7957) Prec@1 60.156 (59.150) Prec@5 79.688 (80.961) Epoch: [44][8890/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6579 (1.7958) Prec@1 63.281 (59.149) Prec@5 80.469 (80.959) Epoch: [44][8900/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6157 (1.7958) Prec@1 62.500 (59.149) Prec@5 80.469 (80.957) Epoch: [44][8910/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0439 (1.7957) Prec@1 51.562 (59.147) Prec@5 75.000 (80.959) Epoch: [44][8920/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 2.0375 (1.7958) Prec@1 54.688 (59.145) Prec@5 75.781 (80.957) Epoch: [44][8930/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7601 (1.7959) Prec@1 61.719 (59.144) Prec@5 79.688 (80.956) Epoch: [44][8940/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.8434 (1.7960) Prec@1 54.688 (59.143) Prec@5 77.344 (80.954) Epoch: [44][8950/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9386 (1.7959) Prec@1 56.250 (59.141) Prec@5 75.781 (80.954) Epoch: [44][8960/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.5776 (1.7960) Prec@1 62.500 (59.140) Prec@5 81.250 (80.953) Epoch: [44][8970/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7320 (1.7960) Prec@1 63.281 (59.141) Prec@5 81.250 (80.954) Epoch: [44][8980/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9745 (1.7961) Prec@1 55.469 (59.140) Prec@5 78.906 (80.951) Epoch: [44][8990/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.6834 (1.7961) Prec@1 59.375 (59.139) Prec@5 80.469 (80.951) Epoch: [44][9000/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.6844 (1.7961) Prec@1 64.062 (59.139) Prec@5 79.688 (80.951) Epoch: [44][9010/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.7411 (1.7961) Prec@1 60.938 (59.140) Prec@5 80.469 (80.952) Epoch: [44][9020/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6197 (1.7961) Prec@1 62.500 (59.138) Prec@5 85.938 (80.951) Epoch: [44][9030/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9210 (1.7961) Prec@1 60.156 (59.139) Prec@5 78.125 (80.952) Epoch: [44][9040/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9491 (1.7961) Prec@1 59.375 (59.140) Prec@5 78.125 (80.952) Epoch: [44][9050/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8152 (1.7962) Prec@1 64.844 (59.138) Prec@5 77.344 (80.949) Epoch: [44][9060/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7339 (1.7962) Prec@1 58.594 (59.137) Prec@5 83.594 (80.950) Epoch: [44][9070/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8066 (1.7964) Prec@1 56.250 (59.135) Prec@5 81.250 (80.946) Epoch: [44][9080/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8544 (1.7963) Prec@1 57.031 (59.137) Prec@5 78.906 (80.947) Epoch: [44][9090/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.4663 (1.7963) Prec@1 64.844 (59.138) Prec@5 87.500 (80.948) Epoch: [44][9100/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9051 (1.7963) Prec@1 57.031 (59.137) Prec@5 79.688 (80.948) Epoch: [44][9110/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0944 (1.7964) Prec@1 52.344 (59.137) Prec@5 78.125 (80.948) Epoch: [44][9120/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.6724 (1.7965) Prec@1 60.156 (59.135) Prec@5 81.250 (80.946) Epoch: [44][9130/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8131 (1.7965) Prec@1 55.469 (59.133) Prec@5 82.031 (80.946) Epoch: [44][9140/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8318 (1.7965) Prec@1 60.156 (59.133) Prec@5 77.344 (80.945) Epoch: [44][9150/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.1298 (1.7966) Prec@1 57.031 (59.132) Prec@5 76.562 (80.944) Epoch: [44][9160/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8448 (1.7966) Prec@1 60.938 (59.132) Prec@5 86.719 (80.944) Epoch: [44][9170/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6956 (1.7966) Prec@1 56.250 (59.130) Prec@5 82.812 (80.944) Epoch: [44][9180/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6408 (1.7967) Prec@1 55.469 (59.129) Prec@5 87.500 (80.945) Epoch: [44][9190/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9806 (1.7968) Prec@1 56.250 (59.127) Prec@5 81.250 (80.944) Epoch: [44][9200/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0135 (1.7968) Prec@1 54.688 (59.127) Prec@5 77.344 (80.943) Epoch: [44][9210/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.2201 (1.7969) Prec@1 56.250 (59.126) Prec@5 76.562 (80.942) Epoch: [44][9220/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6308 (1.7969) Prec@1 59.375 (59.127) Prec@5 85.156 (80.941) Epoch: [44][9230/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.6075 (1.7970) Prec@1 60.156 (59.126) Prec@5 85.156 (80.939) Epoch: [44][9240/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.1976 (1.7972) Prec@1 47.656 (59.121) Prec@5 79.688 (80.937) Epoch: [44][9250/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 2.0283 (1.7973) Prec@1 57.812 (59.120) Prec@5 77.344 (80.936) Epoch: [44][9260/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8546 (1.7972) Prec@1 55.469 (59.121) Prec@5 76.562 (80.936) Epoch: [44][9270/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0394 (1.7973) Prec@1 57.812 (59.120) Prec@5 77.344 (80.934) Epoch: [44][9280/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.6862 (1.7973) Prec@1 66.406 (59.119) Prec@5 82.031 (80.935) Epoch: [44][9290/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.1169 (1.7974) Prec@1 52.344 (59.117) Prec@5 75.781 (80.933) Epoch: [44][9300/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.2484 (1.7975) Prec@1 53.125 (59.116) Prec@5 75.000 (80.933) Epoch: [44][9310/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 2.0065 (1.7975) Prec@1 56.250 (59.117) Prec@5 78.906 (80.933) Epoch: [44][9320/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8161 (1.7975) Prec@1 64.844 (59.117) Prec@5 81.250 (80.933) Epoch: [44][9330/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.5758 (1.7975) Prec@1 66.406 (59.117) Prec@5 85.156 (80.933) Epoch: [44][9340/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6345 (1.7975) Prec@1 60.156 (59.118) Prec@5 85.156 (80.933) Epoch: [44][9350/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7801 (1.7975) Prec@1 58.594 (59.118) Prec@5 81.250 (80.933) Epoch: [44][9360/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9543 (1.7976) Prec@1 56.250 (59.116) Prec@5 80.469 (80.932) Epoch: [44][9370/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.4516 (1.7975) Prec@1 67.969 (59.117) Prec@5 92.969 (80.933) Epoch: [44][9380/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5662 (1.7975) Prec@1 67.188 (59.117) Prec@5 84.375 (80.933) Epoch: [44][9390/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8805 (1.7975) Prec@1 59.375 (59.117) Prec@5 82.031 (80.934) Epoch: [44][9400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7611 (1.7975) Prec@1 57.812 (59.116) Prec@5 85.156 (80.935) Epoch: [44][9410/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.6085 (1.7975) Prec@1 60.938 (59.116) Prec@5 86.719 (80.936) Epoch: [44][9420/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.9320 (1.7976) Prec@1 51.562 (59.115) Prec@5 76.562 (80.935) Epoch: [44][9430/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8925 (1.7976) Prec@1 60.938 (59.114) Prec@5 78.906 (80.935) Epoch: [44][9440/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7097 (1.7976) Prec@1 57.031 (59.112) Prec@5 82.812 (80.935) Epoch: [44][9450/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.9890 (1.7975) Prec@1 57.031 (59.112) Prec@5 78.125 (80.935) Epoch: [44][9460/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8199 (1.7976) Prec@1 58.594 (59.113) Prec@5 75.781 (80.933) Epoch: [44][9470/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7481 (1.7976) Prec@1 58.594 (59.111) Prec@5 85.156 (80.932) Epoch: [44][9480/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9158 (1.7976) Prec@1 61.719 (59.111) Prec@5 82.031 (80.932) Epoch: [44][9490/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.9860 (1.7977) Prec@1 59.375 (59.110) Prec@5 78.906 (80.931) Epoch: [44][9500/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.1735 (1.7977) Prec@1 50.781 (59.109) Prec@5 75.781 (80.930) Epoch: [44][9510/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.0258 (1.7978) Prec@1 53.906 (59.109) Prec@5 77.344 (80.930) Epoch: [44][9520/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8119 (1.7978) Prec@1 56.250 (59.108) Prec@5 77.344 (80.930) Epoch: [44][9530/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7032 (1.7977) Prec@1 67.969 (59.109) Prec@5 82.031 (80.930) Epoch: [44][9540/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8163 (1.7977) Prec@1 59.375 (59.108) Prec@5 78.906 (80.931) Epoch: [44][9550/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7896 (1.7978) Prec@1 60.156 (59.107) Prec@5 82.031 (80.930) Epoch: [44][9560/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9555 (1.7978) Prec@1 54.688 (59.106) Prec@5 76.562 (80.928) Epoch: [44][9570/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.4809 (1.7977) Prec@1 61.719 (59.107) Prec@5 84.375 (80.929) Epoch: [44][9580/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.0484 (1.7979) Prec@1 52.344 (59.104) Prec@5 80.469 (80.927) Epoch: [44][9590/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0268 (1.7978) Prec@1 53.125 (59.106) Prec@5 78.906 (80.929) Epoch: [44][9600/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7526 (1.7979) Prec@1 61.719 (59.104) Prec@5 81.250 (80.928) Epoch: [44][9610/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0360 (1.7979) Prec@1 53.906 (59.105) Prec@5 77.344 (80.929) Epoch: [44][9620/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8952 (1.7980) Prec@1 57.031 (59.104) Prec@5 78.125 (80.926) Epoch: [44][9630/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0043 (1.7980) Prec@1 54.688 (59.104) Prec@5 78.906 (80.925) Epoch: [44][9640/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7942 (1.7980) Prec@1 57.812 (59.102) Prec@5 83.594 (80.925) Epoch: [44][9650/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.3470 (1.7979) Prec@1 67.188 (59.104) Prec@5 90.625 (80.926) Epoch: [44][9660/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8988 (1.7980) Prec@1 54.688 (59.101) Prec@5 80.469 (80.925) Epoch: [44][9670/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.6523 (1.7980) Prec@1 60.938 (59.102) Prec@5 85.156 (80.926) Epoch: [44][9680/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8057 (1.7980) Prec@1 58.594 (59.100) Prec@5 77.344 (80.924) Epoch: [44][9690/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8484 (1.7980) Prec@1 60.156 (59.101) Prec@5 82.031 (80.924) Epoch: [44][9700/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7463 (1.7980) Prec@1 61.719 (59.101) Prec@5 82.031 (80.925) Epoch: [44][9710/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7783 (1.7981) Prec@1 54.688 (59.098) Prec@5 81.250 (80.923) Epoch: [44][9720/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 2.1359 (1.7983) Prec@1 53.906 (59.095) Prec@5 75.000 (80.921) Epoch: [44][9730/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8855 (1.7982) Prec@1 60.156 (59.097) Prec@5 79.688 (80.922) Epoch: [44][9740/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6956 (1.7983) Prec@1 53.906 (59.094) Prec@5 84.375 (80.921) Epoch: [44][9750/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8817 (1.7984) Prec@1 60.938 (59.091) Prec@5 76.562 (80.918) Epoch: [44][9760/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.1138 (1.7985) Prec@1 53.906 (59.089) Prec@5 74.219 (80.916) Epoch: [44][9770/10010] Time 0.348 (0.331) Data 0.001 (0.001) Loss 1.6505 (1.7986) Prec@1 61.719 (59.087) Prec@5 83.594 (80.915) Epoch: [44][9780/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8518 (1.7986) Prec@1 57.812 (59.085) Prec@5 81.250 (80.914) Epoch: [44][9790/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.5635 (1.7986) Prec@1 64.062 (59.086) Prec@5 86.719 (80.914) Epoch: [44][9800/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6594 (1.7987) Prec@1 64.062 (59.085) Prec@5 83.594 (80.914) Epoch: [44][9810/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.5845 (1.7986) Prec@1 67.969 (59.087) Prec@5 82.812 (80.913) Epoch: [44][9820/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7820 (1.7987) Prec@1 61.719 (59.088) Prec@5 82.031 (80.913) Epoch: [44][9830/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0285 (1.7986) Prec@1 57.812 (59.088) Prec@5 78.125 (80.915) Epoch: [44][9840/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7675 (1.7986) Prec@1 61.719 (59.089) Prec@5 81.250 (80.915) Epoch: [44][9850/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9207 (1.7986) Prec@1 58.594 (59.090) Prec@5 75.000 (80.915) Epoch: [44][9860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0300 (1.7986) Prec@1 50.000 (59.089) Prec@5 78.125 (80.917) Epoch: [44][9870/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.1019 (1.7986) Prec@1 55.469 (59.091) Prec@5 75.000 (80.918) Epoch: [44][9880/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.4724 (1.7986) Prec@1 63.281 (59.090) Prec@5 82.812 (80.917) Epoch: [44][9890/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.8265 (1.7987) Prec@1 55.469 (59.089) Prec@5 82.812 (80.917) Epoch: [44][9900/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9345 (1.7988) Prec@1 58.594 (59.088) Prec@5 78.906 (80.915) Epoch: [44][9910/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.6970 (1.7988) Prec@1 59.375 (59.087) Prec@5 85.938 (80.916) Epoch: [44][9920/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9148 (1.7988) Prec@1 60.156 (59.087) Prec@5 75.000 (80.915) Epoch: [44][9930/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.3222 (1.7989) Prec@1 50.000 (59.086) Prec@5 70.312 (80.912) Epoch: [44][9940/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6266 (1.7990) Prec@1 63.281 (59.086) Prec@5 83.594 (80.911) Epoch: [44][9950/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.4192 (1.7991) Prec@1 45.312 (59.084) Prec@5 71.094 (80.909) Epoch: [44][9960/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8347 (1.7991) Prec@1 57.031 (59.082) Prec@5 82.812 (80.909) Epoch: [44][9970/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8715 (1.7992) Prec@1 63.281 (59.081) Prec@5 81.250 (80.908) Epoch: [44][9980/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8735 (1.7993) Prec@1 59.375 (59.078) Prec@5 78.906 (80.908) Epoch: [44][9990/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8656 (1.7994) Prec@1 57.812 (59.076) Prec@5 82.812 (80.907) Epoch: [44][10000/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 2.3158 (1.7994) Prec@1 49.219 (59.075) Prec@5 69.531 (80.905) Test: [0/391] Time 1.630 (1.630) Loss 0.9136 (0.9136) Prec@1 78.906 (78.906) Prec@5 92.188 (92.188) Test: [10/391] Time 0.108 (0.249) Loss 1.4430 (0.8643) Prec@1 64.062 (79.261) Prec@5 85.938 (92.756) Test: [20/391] Time 0.104 (0.181) Loss 1.2858 (1.1810) Prec@1 66.406 (70.908) Prec@5 89.062 (89.621) Test: [30/391] Time 0.101 (0.160) Loss 2.0185 (1.3661) Prec@1 57.812 (66.885) Prec@5 77.344 (87.374) Test: [40/391] Time 0.110 (0.147) Loss 1.3131 (1.2271) Prec@1 67.969 (70.141) Prec@5 88.281 (88.815) Test: [50/391] Time 0.105 (0.140) Loss 0.6006 (1.2577) Prec@1 83.594 (69.684) Prec@5 95.312 (88.327) Test: [60/391] Time 0.102 (0.134) Loss 1.4892 (1.1989) Prec@1 64.062 (71.119) Prec@5 85.156 (88.947) Test: [70/391] Time 0.110 (0.130) Loss 1.5426 (1.2300) Prec@1 55.469 (69.630) Prec@5 92.969 (89.096) Test: [80/391] Time 0.100 (0.128) Loss 1.0878 (1.2382) Prec@1 67.969 (68.740) Prec@5 91.406 (89.294) Test: [90/391] Time 0.108 (0.126) Loss 1.1736 (1.2377) Prec@1 63.281 (68.724) Prec@5 94.531 (89.535) Test: [100/391] Time 0.108 (0.124) Loss 0.7561 (1.2185) Prec@1 82.031 (68.711) Prec@5 96.094 (89.975) Test: [110/391] Time 0.108 (0.123) Loss 1.5073 (1.2250) Prec@1 53.125 (68.419) Prec@5 89.062 (90.048) Test: [120/391] Time 0.102 (0.122) Loss 1.2093 (1.2137) Prec@1 65.625 (68.763) Prec@5 94.531 (90.238) Test: [130/391] Time 0.101 (0.121) Loss 0.5924 (1.2054) Prec@1 86.719 (69.221) Prec@5 96.094 (90.309) Test: [140/391] Time 0.099 (0.119) Loss 1.7015 (1.2089) Prec@1 53.906 (69.105) Prec@5 87.500 (90.232) Test: [150/391] Time 0.107 (0.118) Loss 1.5609 (1.2185) Prec@1 43.750 (68.905) Prec@5 88.281 (90.020) Test: [160/391] Time 0.107 (0.118) Loss 1.2121 (1.2233) Prec@1 62.500 (68.745) Prec@5 90.625 (89.970) Test: [170/391] Time 0.153 (0.118) Loss 2.2048 (1.2573) Prec@1 47.656 (68.147) Prec@5 78.125 (89.483) Test: [180/391] Time 0.107 (0.117) Loss 2.1688 (1.2894) Prec@1 56.250 (67.585) Prec@5 79.688 (89.045) Test: [190/391] Time 0.109 (0.116) Loss 2.2131 (1.3202) Prec@1 55.469 (67.110) Prec@5 81.250 (88.613) Test: [200/391] Time 0.105 (0.116) Loss 1.6302 (1.3594) Prec@1 58.594 (66.371) Prec@5 81.250 (88.025) Test: [210/391] Time 0.112 (0.116) Loss 1.7141 (1.3793) Prec@1 60.938 (65.980) Prec@5 82.812 (87.804) Test: [220/391] Time 0.114 (0.115) Loss 0.8446 (1.3944) Prec@1 78.906 (65.728) Prec@5 93.750 (87.514) Test: [230/391] Time 0.109 (0.115) Loss 2.4932 (1.4092) Prec@1 44.531 (65.446) Prec@5 74.219 (87.344) Test: [240/391] Time 0.100 (0.115) Loss 1.9417 (1.4181) Prec@1 60.938 (65.430) Prec@5 78.906 (87.176) Test: [250/391] Time 0.112 (0.114) Loss 1.1110 (1.4451) Prec@1 71.875 (64.869) Prec@5 89.062 (86.831) Test: [260/391] Time 0.104 (0.114) Loss 1.9860 (1.4638) Prec@1 53.906 (64.500) Prec@5 78.906 (86.554) Test: [270/391] Time 0.104 (0.114) Loss 1.9285 (1.4726) Prec@1 51.562 (64.310) Prec@5 82.031 (86.425) Test: [280/391] Time 0.104 (0.114) Loss 1.5346 (1.4829) Prec@1 64.062 (64.168) Prec@5 85.156 (86.299) Test: [290/391] Time 0.110 (0.114) Loss 2.0972 (1.4996) Prec@1 38.281 (63.901) Prec@5 83.594 (86.010) Test: [300/391] Time 0.106 (0.113) Loss 1.6138 (1.5116) Prec@1 72.656 (63.710) Prec@5 85.156 (85.865) Test: [310/391] Time 0.106 (0.113) Loss 1.6747 (1.5191) Prec@1 62.500 (63.590) Prec@5 80.469 (85.726) Test: [320/391] Time 0.105 (0.113) Loss 1.0294 (1.5277) Prec@1 81.250 (63.442) Prec@5 92.188 (85.624) Test: [330/391] Time 0.111 (0.113) Loss 2.1623 (1.5472) Prec@1 46.094 (63.022) Prec@5 75.000 (85.319) Test: [340/391] Time 0.110 (0.113) Loss 1.2051 (1.5564) Prec@1 67.188 (62.763) Prec@5 94.531 (85.234) Test: [350/391] Time 0.105 (0.113) Loss 1.3801 (1.5590) Prec@1 70.312 (62.736) Prec@5 87.500 (85.152) Test: [360/391] Time 0.110 (0.113) Loss 1.9096 (1.5664) Prec@1 51.562 (62.617) Prec@5 85.938 (85.113) Test: [370/391] Time 0.105 (0.113) Loss 1.1182 (1.5593) Prec@1 62.500 (62.742) Prec@5 93.750 (85.200) Test: [380/391] Time 0.111 (0.112) Loss 1.2814 (1.5603) Prec@1 68.750 (62.717) Prec@5 90.625 (85.158) Test: [390/391] Time 0.076 (0.112) Loss 2.5505 (1.5513) Prec@1 37.500 (62.920) Prec@5 76.250 (85.280) * Prec@1 62.920 Prec@5 85.280 Epoch: [45][0/10010] Time 2.715 (2.715) Data 2.535 (2.535) Loss 2.1372 (2.1372) Prec@1 50.781 (50.781) Prec@5 77.344 (77.344) Epoch: [45][10/10010] Time 0.323 (0.539) Data 0.000 (0.235) Loss 1.5720 (1.8616) Prec@1 66.406 (57.812) Prec@5 83.594 (80.753) Epoch: [45][20/10010] Time 0.330 (0.436) Data 0.000 (0.124) Loss 1.7642 (1.8124) Prec@1 57.812 (58.743) Prec@5 84.375 (81.287) /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][30/10010] Time 0.310 (0.398) Data 0.000 (0.084) Loss 1.7655 (1.7787) Prec@1 64.844 (59.224) Prec@5 78.125 (81.905) Epoch: [45][40/10010] Time 0.326 (0.380) Data 0.000 (0.064) Loss 2.0025 (1.7550) Prec@1 57.812 (60.023) Prec@5 77.344 (82.241) Epoch: [45][50/10010] Time 0.339 (0.370) Data 0.000 (0.051) Loss 1.5993 (1.7565) Prec@1 64.062 (60.049) Prec@5 83.594 (82.016) Epoch: [45][60/10010] Time 0.315 (0.364) Data 0.000 (0.043) Loss 1.7868 (1.7500) Prec@1 60.156 (60.079) Prec@5 81.250 (81.890) Epoch: [45][70/10010] Time 0.330 (0.359) Data 0.001 (0.037) Loss 1.9937 (1.7492) Prec@1 53.906 (60.123) Prec@5 78.125 (81.899) Epoch: [45][80/10010] Time 0.342 (0.356) Data 0.001 (0.032) Loss 1.7352 (1.7433) Prec@1 62.500 (60.204) Prec@5 81.250 (81.829) Epoch: [45][90/10010] Time 0.336 (0.353) Data 0.000 (0.029) Loss 1.9026 (1.7431) Prec@1 61.719 (60.182) Prec@5 79.688 (81.825) Epoch: [45][100/10010] Time 0.347 (0.352) Data 0.001 (0.026) Loss 1.9142 (1.7552) Prec@1 61.719 (59.924) Prec@5 78.906 (81.567) Epoch: [45][110/10010] Time 0.342 (0.350) Data 0.000 (0.024) Loss 1.6364 (1.7506) Prec@1 61.719 (59.931) Prec@5 80.469 (81.672) Epoch: [45][120/10010] Time 0.331 (0.349) Data 0.000 (0.022) Loss 1.7415 (1.7497) Prec@1 60.156 (59.988) Prec@5 82.812 (81.702) Epoch: [45][130/10010] Time 0.338 (0.348) Data 0.001 (0.020) Loss 1.9671 (1.7538) Prec@1 58.594 (59.882) Prec@5 85.156 (81.775) Epoch: [45][140/10010] Time 0.334 (0.347) Data 0.000 (0.019) Loss 1.9834 (1.7518) Prec@1 59.375 (59.907) Prec@5 79.688 (81.821) Epoch: [45][150/10010] Time 0.324 (0.346) Data 0.000 (0.018) Loss 2.1784 (1.7588) Prec@1 50.781 (59.815) Prec@5 78.125 (81.742) Epoch: [45][160/10010] Time 0.328 (0.345) Data 0.000 (0.017) Loss 1.9572 (1.7607) Prec@1 55.469 (59.720) Prec@5 80.469 (81.711) Epoch: [45][170/10010] Time 0.328 (0.344) Data 0.000 (0.016) Loss 1.7063 (1.7667) Prec@1 63.281 (59.681) Prec@5 83.594 (81.606) Epoch: [45][180/10010] Time 0.327 (0.343) Data 0.001 (0.015) Loss 1.5112 (1.7651) Prec@1 65.625 (59.720) Prec@5 84.375 (81.587) Epoch: [45][190/10010] Time 0.325 (0.343) Data 0.001 (0.014) Loss 1.8956 (1.7635) Prec@1 55.469 (59.645) Prec@5 75.781 (81.536) Epoch: [45][200/10010] Time 0.324 (0.342) Data 0.000 (0.013) Loss 1.5984 (1.7594) Prec@1 60.156 (59.713) Prec@5 87.500 (81.627) Epoch: [45][210/10010] Time 0.329 (0.342) Data 0.000 (0.013) Loss 1.6842 (1.7601) Prec@1 63.281 (59.779) Prec@5 83.594 (81.609) Epoch: [45][220/10010] Time 0.338 (0.341) Data 0.001 (0.012) Loss 1.6272 (1.7607) Prec@1 60.938 (59.771) Prec@5 82.812 (81.639) Epoch: [45][230/10010] Time 0.322 (0.341) Data 0.001 (0.012) Loss 1.4600 (1.7596) Prec@1 66.406 (59.852) Prec@5 86.719 (81.659) Epoch: [45][240/10010] Time 0.342 (0.341) Data 0.000 (0.011) Loss 1.8898 (1.7624) Prec@1 59.375 (59.770) Prec@5 78.125 (81.597) Epoch: [45][250/10010] Time 0.331 (0.340) Data 0.001 (0.011) Loss 1.5499 (1.7634) Prec@1 63.281 (59.714) Prec@5 84.375 (81.589) Epoch: [45][260/10010] Time 0.337 (0.340) Data 0.001 (0.010) Loss 1.9583 (1.7626) Prec@1 53.906 (59.740) Prec@5 77.344 (81.588) Epoch: [45][270/10010] Time 0.337 (0.340) Data 0.001 (0.010) Loss 1.6596 (1.7617) Prec@1 61.719 (59.825) Prec@5 79.688 (81.599) Epoch: [45][280/10010] Time 0.329 (0.339) Data 0.000 (0.010) Loss 1.7634 (1.7598) Prec@1 59.375 (59.875) Prec@5 81.250 (81.639) Epoch: [45][290/10010] Time 0.323 (0.339) Data 0.001 (0.009) Loss 2.0732 (1.7602) Prec@1 57.031 (59.877) Prec@5 76.562 (81.634) Epoch: [45][300/10010] Time 0.328 (0.339) Data 0.000 (0.009) Loss 1.4968 (1.7586) Prec@1 64.844 (59.876) Prec@5 86.719 (81.668) Epoch: [45][310/10010] Time 0.335 (0.339) Data 0.000 (0.009) Loss 1.6463 (1.7570) Prec@1 63.281 (59.930) Prec@5 84.375 (81.705) Epoch: [45][320/10010] Time 0.320 (0.338) Data 0.000 (0.009) Loss 1.6790 (1.7563) Prec@1 57.812 (59.981) Prec@5 82.812 (81.703) Epoch: [45][330/10010] Time 0.346 (0.338) Data 0.000 (0.008) Loss 1.7231 (1.7543) Prec@1 57.812 (60.062) Prec@5 82.031 (81.743) Epoch: [45][340/10010] Time 0.334 (0.338) Data 0.000 (0.008) Loss 1.7048 (1.7562) Prec@1 55.469 (60.019) Prec@5 86.719 (81.738) Epoch: [45][350/10010] Time 0.319 (0.338) Data 0.001 (0.008) Loss 1.5585 (1.7528) Prec@1 67.188 (60.089) Prec@5 86.719 (81.766) Epoch: [45][360/10010] Time 0.335 (0.338) Data 0.000 (0.008) Loss 1.8707 (1.7519) Prec@1 57.031 (60.109) Prec@5 77.344 (81.769) Epoch: [45][370/10010] Time 0.338 (0.337) Data 0.000 (0.008) Loss 1.3317 (1.7504) Prec@1 71.094 (60.158) Prec@5 87.500 (81.774) Epoch: [45][380/10010] Time 0.345 (0.337) Data 0.000 (0.007) Loss 2.0003 (1.7512) Prec@1 55.469 (60.115) Prec@5 76.562 (81.769) Epoch: [45][390/10010] Time 0.335 (0.337) Data 0.000 (0.007) Loss 1.7668 (1.7511) Prec@1 62.500 (60.108) Prec@5 81.250 (81.770) Epoch: [45][400/10010] Time 0.344 (0.337) Data 0.000 (0.007) Loss 1.7866 (1.7513) Prec@1 59.375 (60.113) Prec@5 81.250 (81.774) Epoch: [45][410/10010] Time 0.337 (0.337) Data 0.001 (0.007) Loss 1.5712 (1.7542) Prec@1 61.719 (60.076) Prec@5 84.375 (81.725) Epoch: [45][420/10010] Time 0.328 (0.337) Data 0.001 (0.007) Loss 1.7781 (1.7554) Prec@1 60.938 (60.080) Prec@5 82.031 (81.731) Epoch: [45][430/10010] Time 0.346 (0.337) Data 0.000 (0.007) Loss 1.5794 (1.7538) Prec@1 60.156 (60.096) Prec@5 85.156 (81.750) Epoch: [45][440/10010] Time 0.324 (0.337) Data 0.000 (0.006) Loss 1.6922 (1.7555) Prec@1 60.156 (60.034) Prec@5 81.250 (81.711) Epoch: [45][450/10010] Time 0.341 (0.336) Data 0.000 (0.006) Loss 1.6883 (1.7530) Prec@1 63.281 (60.070) Prec@5 85.156 (81.764) Epoch: [45][460/10010] Time 0.337 (0.336) Data 0.001 (0.006) Loss 1.7639 (1.7529) Prec@1 57.031 (60.068) Prec@5 79.688 (81.758) Epoch: [45][470/10010] Time 0.324 (0.336) Data 0.001 (0.006) Loss 1.7750 (1.7527) Prec@1 58.594 (60.048) Prec@5 80.469 (81.758) Epoch: [45][480/10010] Time 0.319 (0.336) Data 0.001 (0.006) Loss 1.4897 (1.7532) Prec@1 67.188 (60.033) Prec@5 85.938 (81.762) Epoch: [45][490/10010] Time 0.324 (0.336) Data 0.001 (0.006) Loss 1.6292 (1.7526) Prec@1 64.062 (60.046) Prec@5 80.469 (81.772) Epoch: [45][500/10010] Time 0.332 (0.336) Data 0.000 (0.006) Loss 1.9620 (1.7520) Prec@1 56.250 (60.047) Prec@5 78.906 (81.782) Epoch: [45][510/10010] Time 0.329 (0.336) Data 0.000 (0.006) Loss 1.9646 (1.7531) Prec@1 56.250 (60.035) Prec@5 81.250 (81.767) Epoch: [45][520/10010] Time 0.327 (0.336) Data 0.000 (0.006) Loss 1.7291 (1.7536) Prec@1 63.281 (60.047) Prec@5 81.250 (81.760) Epoch: [45][530/10010] Time 0.326 (0.336) Data 0.000 (0.005) Loss 1.9986 (1.7544) Prec@1 53.906 (60.006) Prec@5 80.469 (81.734) Epoch: [45][540/10010] Time 0.321 (0.336) Data 0.000 (0.005) Loss 1.8986 (1.7562) Prec@1 58.594 (59.976) Prec@5 79.688 (81.708) Epoch: [45][550/10010] Time 0.332 (0.336) Data 0.000 (0.005) Loss 1.6001 (1.7538) Prec@1 61.719 (60.016) Prec@5 82.812 (81.729) Epoch: [45][560/10010] Time 0.327 (0.335) Data 0.000 (0.005) Loss 1.7383 (1.7541) Prec@1 61.719 (60.003) Prec@5 83.594 (81.705) Epoch: [45][570/10010] Time 0.320 (0.335) Data 0.001 (0.005) Loss 1.5393 (1.7540) Prec@1 65.625 (60.015) Prec@5 84.375 (81.692) Epoch: [45][580/10010] Time 0.326 (0.335) Data 0.001 (0.005) Loss 1.9021 (1.7526) Prec@1 54.688 (60.039) Prec@5 77.344 (81.709) Epoch: [45][590/10010] Time 0.335 (0.335) Data 0.001 (0.005) Loss 1.9594 (1.7523) Prec@1 58.594 (60.045) Prec@5 77.344 (81.723) Epoch: [45][600/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 1.7516 (1.7523) Prec@1 64.062 (60.048) Prec@5 82.812 (81.714) Epoch: [45][610/10010] Time 0.346 (0.335) Data 0.000 (0.005) Loss 1.5847 (1.7530) Prec@1 58.594 (60.053) Prec@5 85.938 (81.700) Epoch: [45][620/10010] Time 0.333 (0.335) Data 0.000 (0.005) Loss 2.0153 (1.7524) Prec@1 54.688 (60.066) Prec@5 76.562 (81.709) Epoch: [45][630/10010] Time 0.328 (0.335) Data 0.000 (0.005) Loss 1.4956 (1.7534) Prec@1 64.062 (60.030) Prec@5 84.375 (81.683) Epoch: [45][640/10010] Time 0.346 (0.335) Data 0.000 (0.005) Loss 1.8516 (1.7533) Prec@1 62.500 (60.034) Prec@5 78.125 (81.674) Epoch: [45][650/10010] Time 0.337 (0.335) Data 0.000 (0.005) Loss 1.6471 (1.7538) Prec@1 58.594 (60.019) Prec@5 81.250 (81.654) Epoch: [45][660/10010] Time 0.319 (0.335) Data 0.000 (0.004) Loss 1.7406 (1.7535) Prec@1 60.938 (60.009) Prec@5 80.469 (81.646) Epoch: [45][670/10010] Time 0.330 (0.335) Data 0.001 (0.004) Loss 1.5197 (1.7537) Prec@1 61.719 (59.987) Prec@5 83.594 (81.637) Epoch: [45][680/10010] Time 0.343 (0.335) Data 0.000 (0.004) Loss 1.9175 (1.7537) Prec@1 56.250 (59.986) Prec@5 78.125 (81.638) Epoch: [45][690/10010] Time 0.333 (0.335) Data 0.000 (0.004) Loss 1.9273 (1.7533) Prec@1 59.375 (59.983) Prec@5 78.125 (81.631) Epoch: [45][700/10010] Time 0.332 (0.335) Data 0.001 (0.004) Loss 1.6181 (1.7542) Prec@1 59.375 (59.949) Prec@5 82.031 (81.611) Epoch: [45][710/10010] Time 0.326 (0.335) Data 0.001 (0.004) Loss 1.9516 (1.7540) Prec@1 59.375 (59.952) Prec@5 79.688 (81.617) Epoch: [45][720/10010] Time 0.318 (0.334) Data 0.000 (0.004) Loss 1.5794 (1.7536) Prec@1 60.938 (59.948) Prec@5 84.375 (81.630) Epoch: [45][730/10010] Time 0.333 (0.334) Data 0.001 (0.004) Loss 1.9759 (1.7548) Prec@1 58.594 (59.925) Prec@5 78.125 (81.616) Epoch: [45][740/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 1.6379 (1.7548) Prec@1 67.969 (59.942) Prec@5 82.812 (81.594) Epoch: [45][750/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 1.7637 (1.7558) Prec@1 60.938 (59.941) Prec@5 82.031 (81.591) Epoch: [45][760/10010] Time 0.331 (0.334) Data 0.000 (0.004) Loss 1.6677 (1.7560) Prec@1 64.062 (59.966) Prec@5 85.156 (81.589) Epoch: [45][770/10010] Time 0.334 (0.334) Data 0.001 (0.004) Loss 1.6174 (1.7549) Prec@1 60.156 (59.972) Prec@5 85.156 (81.626) Epoch: [45][780/10010] Time 0.338 (0.334) Data 0.000 (0.004) Loss 1.8178 (1.7537) Prec@1 54.688 (59.981) Prec@5 81.250 (81.640) Epoch: [45][790/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 1.7621 (1.7554) Prec@1 54.688 (59.940) Prec@5 84.375 (81.621) Epoch: [45][800/10010] Time 0.320 (0.334) Data 0.001 (0.004) Loss 2.0779 (1.7555) Prec@1 58.594 (59.939) Prec@5 78.906 (81.615) Epoch: [45][810/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 1.6374 (1.7543) Prec@1 61.719 (59.962) Prec@5 82.031 (81.638) Epoch: [45][820/10010] Time 0.323 (0.334) Data 0.001 (0.004) Loss 1.7268 (1.7544) Prec@1 60.156 (59.965) Prec@5 79.688 (81.648) Epoch: [45][830/10010] Time 0.329 (0.334) Data 0.000 (0.004) Loss 1.5021 (1.7530) Prec@1 66.406 (59.971) Prec@5 87.500 (81.671) Epoch: [45][840/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 1.8207 (1.7524) Prec@1 60.938 (59.988) Prec@5 78.125 (81.683) Epoch: [45][850/10010] Time 0.319 (0.334) Data 0.001 (0.004) Loss 2.0762 (1.7511) Prec@1 53.125 (60.002) Prec@5 77.344 (81.706) Epoch: [45][860/10010] Time 0.326 (0.333) Data 0.001 (0.004) Loss 1.7695 (1.7519) Prec@1 60.156 (59.990) Prec@5 78.906 (81.686) /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][870/10010] Time 0.332 (0.333) Data 0.000 (0.004) Loss 1.9208 (1.7519) Prec@1 58.594 (59.981) Prec@5 79.688 (81.686) Epoch: [45][880/10010] Time 0.330 (0.333) Data 0.000 (0.003) Loss 1.9527 (1.7523) Prec@1 56.250 (59.975) Prec@5 77.344 (81.661) Epoch: [45][890/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 1.9413 (1.7528) Prec@1 55.469 (59.960) Prec@5 78.906 (81.646) Epoch: [45][900/10010] Time 0.319 (0.333) Data 0.000 (0.003) Loss 1.4372 (1.7524) Prec@1 65.625 (59.959) Prec@5 88.281 (81.655) Epoch: [45][910/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.9061 (1.7520) Prec@1 57.812 (59.966) Prec@5 82.031 (81.650) Epoch: [45][920/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 1.6898 (1.7527) Prec@1 59.375 (59.954) Prec@5 82.812 (81.632) Epoch: [45][930/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 2.0229 (1.7526) Prec@1 59.375 (59.947) Prec@5 82.812 (81.645) Epoch: [45][940/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.7201 (1.7523) Prec@1 57.812 (59.947) Prec@5 79.688 (81.644) Epoch: [45][950/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.7118 (1.7522) Prec@1 56.250 (59.944) Prec@5 79.688 (81.653) Epoch: [45][960/10010] Time 0.318 (0.333) Data 0.000 (0.003) Loss 1.9328 (1.7534) Prec@1 58.594 (59.930) Prec@5 81.250 (81.643) Epoch: [45][970/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.6857 (1.7542) Prec@1 65.625 (59.914) Prec@5 85.156 (81.627) Epoch: [45][980/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 1.7865 (1.7538) Prec@1 57.031 (59.915) Prec@5 80.469 (81.631) Epoch: [45][990/10010] Time 0.345 (0.333) Data 0.000 (0.003) Loss 2.0315 (1.7545) Prec@1 54.688 (59.896) Prec@5 75.000 (81.612) Epoch: [45][1000/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.5059 (1.7548) Prec@1 65.625 (59.896) Prec@5 85.938 (81.602) Epoch: [45][1010/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.7776 (1.7552) Prec@1 61.719 (59.902) Prec@5 81.250 (81.593) Epoch: [45][1020/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.8373 (1.7559) Prec@1 57.031 (59.873) Prec@5 78.125 (81.573) Epoch: [45][1030/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.6143 (1.7556) Prec@1 62.500 (59.897) Prec@5 85.938 (81.583) Epoch: [45][1040/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 1.9720 (1.7562) Prec@1 61.719 (59.885) Prec@5 78.906 (81.569) Epoch: [45][1050/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.7585 (1.7566) Prec@1 63.281 (59.877) Prec@5 79.688 (81.551) Epoch: [45][1060/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.6216 (1.7567) Prec@1 58.594 (59.869) Prec@5 83.594 (81.552) Epoch: [45][1070/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.7874 (1.7566) Prec@1 57.812 (59.865) Prec@5 84.375 (81.561) Epoch: [45][1080/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 1.6620 (1.7572) Prec@1 63.281 (59.855) Prec@5 81.250 (81.544) Epoch: [45][1090/10010] Time 0.317 (0.333) Data 0.001 (0.003) Loss 1.8131 (1.7579) Prec@1 57.812 (59.851) Prec@5 81.250 (81.537) Epoch: [45][1100/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 1.5016 (1.7577) Prec@1 64.844 (59.860) Prec@5 85.938 (81.544) Epoch: [45][1110/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 1.7054 (1.7584) Prec@1 63.281 (59.861) Prec@5 83.594 (81.531) Epoch: [45][1120/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.7696 (1.7583) Prec@1 55.469 (59.856) Prec@5 81.250 (81.528) Epoch: [45][1130/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 1.9095 (1.7581) Prec@1 54.688 (59.859) Prec@5 78.906 (81.528) Epoch: [45][1140/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.7036 (1.7585) Prec@1 61.719 (59.843) Prec@5 84.375 (81.514) Epoch: [45][1150/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 1.8748 (1.7584) Prec@1 57.031 (59.850) Prec@5 78.906 (81.507) Epoch: [45][1160/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 1.7339 (1.7585) Prec@1 59.375 (59.851) Prec@5 84.375 (81.507) Epoch: [45][1170/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 1.5079 (1.7588) Prec@1 64.844 (59.861) Prec@5 85.156 (81.502) Epoch: [45][1180/10010] Time 0.314 (0.333) Data 0.001 (0.003) Loss 1.9177 (1.7602) Prec@1 53.125 (59.835) Prec@5 78.906 (81.485) Epoch: [45][1190/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 1.7378 (1.7600) Prec@1 62.500 (59.837) Prec@5 82.031 (81.493) Epoch: [45][1200/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 2.0356 (1.7602) Prec@1 50.000 (59.821) Prec@5 78.125 (81.490) Epoch: [45][1210/10010] Time 0.337 (0.333) Data 0.001 (0.003) Loss 2.1062 (1.7608) Prec@1 48.438 (59.807) Prec@5 75.000 (81.480) Epoch: [45][1220/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 1.7352 (1.7611) Prec@1 57.031 (59.798) Prec@5 81.250 (81.480) Epoch: [45][1230/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 1.5077 (1.7605) Prec@1 60.156 (59.802) Prec@5 85.938 (81.494) Epoch: [45][1240/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 1.6268 (1.7604) Prec@1 66.406 (59.810) Prec@5 83.594 (81.494) Epoch: [45][1250/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.1694 (1.7609) Prec@1 54.688 (59.797) Prec@5 72.656 (81.489) Epoch: [45][1260/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 1.6317 (1.7602) Prec@1 62.500 (59.817) Prec@5 82.031 (81.491) Epoch: [45][1270/10010] Time 0.333 (0.333) Data 0.001 (0.003) Loss 1.9911 (1.7604) Prec@1 56.250 (59.818) Prec@5 81.250 (81.499) Epoch: [45][1280/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.6566 (1.7604) Prec@1 65.625 (59.817) Prec@5 82.812 (81.498) Epoch: [45][1290/10010] Time 0.344 (0.333) Data 0.000 (0.003) Loss 1.9779 (1.7608) Prec@1 59.375 (59.812) Prec@5 79.688 (81.496) Epoch: [45][1300/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 2.0773 (1.7620) Prec@1 50.781 (59.801) Prec@5 78.906 (81.475) Epoch: [45][1310/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.9395 (1.7630) Prec@1 56.250 (59.784) Prec@5 77.344 (81.463) Epoch: [45][1320/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 1.6998 (1.7629) Prec@1 64.062 (59.794) Prec@5 81.250 (81.465) Epoch: [45][1330/10010] Time 0.337 (0.333) Data 0.000 (0.003) Loss 1.7873 (1.7636) Prec@1 60.156 (59.778) Prec@5 82.031 (81.455) Epoch: [45][1340/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 1.5897 (1.7637) Prec@1 65.625 (59.781) Prec@5 85.156 (81.455) Epoch: [45][1350/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 1.4484 (1.7639) Prec@1 67.188 (59.779) Prec@5 89.062 (81.460) Epoch: [45][1360/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.8806 (1.7652) Prec@1 60.156 (59.760) Prec@5 78.125 (81.437) Epoch: [45][1370/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 2.0070 (1.7659) Prec@1 57.031 (59.753) Prec@5 78.125 (81.430) Epoch: [45][1380/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 1.9389 (1.7664) Prec@1 57.031 (59.742) Prec@5 81.250 (81.427) Epoch: [45][1390/10010] Time 0.310 (0.333) Data 0.001 (0.002) Loss 1.7020 (1.7661) Prec@1 58.594 (59.743) Prec@5 78.125 (81.430) Epoch: [45][1400/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 2.0917 (1.7667) Prec@1 50.781 (59.732) Prec@5 76.562 (81.420) Epoch: [45][1410/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 2.0251 (1.7672) Prec@1 54.688 (59.726) Prec@5 78.125 (81.414) Epoch: [45][1420/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.6095 (1.7673) Prec@1 63.281 (59.730) Prec@5 85.938 (81.422) Epoch: [45][1430/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.6715 (1.7671) Prec@1 60.938 (59.730) Prec@5 84.375 (81.425) Epoch: [45][1440/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.0603 (1.7672) Prec@1 57.812 (59.730) Prec@5 76.562 (81.431) Epoch: [45][1450/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.9846 (1.7671) Prec@1 57.031 (59.730) Prec@5 78.906 (81.431) Epoch: [45][1460/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.8816 (1.7670) Prec@1 57.812 (59.732) Prec@5 75.781 (81.428) Epoch: [45][1470/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.8131 (1.7674) Prec@1 60.156 (59.733) Prec@5 78.125 (81.415) Epoch: [45][1480/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.1689 (1.7675) Prec@1 54.688 (59.738) Prec@5 75.000 (81.407) Epoch: [45][1490/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.8873 (1.7671) Prec@1 55.469 (59.749) Prec@5 79.688 (81.415) Epoch: [45][1500/10010] Time 0.348 (0.333) Data 0.001 (0.002) Loss 1.8550 (1.7673) Prec@1 58.594 (59.743) Prec@5 77.344 (81.413) Epoch: [45][1510/10010] Time 0.308 (0.333) Data 0.001 (0.002) Loss 1.4746 (1.7669) Prec@1 66.406 (59.745) Prec@5 82.812 (81.419) Epoch: [45][1520/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 2.0792 (1.7672) Prec@1 57.031 (59.735) Prec@5 74.219 (81.411) Epoch: [45][1530/10010] Time 0.316 (0.333) Data 0.000 (0.002) Loss 1.6778 (1.7673) Prec@1 64.062 (59.735) Prec@5 83.594 (81.412) Epoch: [45][1540/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.8506 (1.7676) Prec@1 58.594 (59.736) Prec@5 82.031 (81.411) Epoch: [45][1550/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 1.6817 (1.7673) Prec@1 63.281 (59.743) Prec@5 83.594 (81.417) Epoch: [45][1560/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.8773 (1.7674) Prec@1 59.375 (59.746) Prec@5 82.812 (81.420) Epoch: [45][1570/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 1.7631 (1.7674) Prec@1 56.250 (59.735) Prec@5 81.250 (81.423) Epoch: [45][1580/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.8031 (1.7678) Prec@1 61.719 (59.722) Prec@5 81.250 (81.417) Epoch: [45][1590/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 1.6640 (1.7678) Prec@1 64.062 (59.723) Prec@5 84.375 (81.412) Epoch: [45][1600/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.8040 (1.7678) Prec@1 57.812 (59.727) Prec@5 80.469 (81.407) Epoch: [45][1610/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 1.6159 (1.7674) Prec@1 62.500 (59.732) Prec@5 82.812 (81.412) Epoch: [45][1620/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 1.8064 (1.7679) Prec@1 60.938 (59.724) Prec@5 80.469 (81.400) Epoch: [45][1630/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7733 (1.7682) Prec@1 60.156 (59.716) Prec@5 81.250 (81.397) Epoch: [45][1640/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6031 (1.7681) Prec@1 64.062 (59.719) Prec@5 83.594 (81.397) Epoch: [45][1650/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.0248 (1.7678) Prec@1 55.469 (59.730) Prec@5 75.781 (81.396) Epoch: [45][1660/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.9584 (1.7680) Prec@1 60.938 (59.724) Prec@5 80.469 (81.401) Epoch: [45][1670/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.9237 (1.7678) Prec@1 52.344 (59.719) Prec@5 78.125 (81.404) Epoch: [45][1680/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.6190 (1.7681) Prec@1 64.844 (59.710) Prec@5 83.594 (81.400) Epoch: [45][1690/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.9929 (1.7685) Prec@1 52.344 (59.703) Prec@5 78.125 (81.402) Epoch: [45][1700/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.8147 (1.7686) Prec@1 55.469 (59.694) Prec@5 80.469 (81.404) Epoch: [45][1710/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.5391 (1.7686) Prec@1 64.844 (59.691) Prec@5 85.156 (81.407) Epoch: [45][1720/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.8328 (1.7685) Prec@1 60.938 (59.686) Prec@5 80.469 (81.410) Epoch: [45][1730/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.9419 (1.7687) Prec@1 55.469 (59.681) Prec@5 78.906 (81.404) Epoch: [45][1740/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 2.0909 (1.7694) Prec@1 52.344 (59.670) Prec@5 78.125 (81.396) Epoch: [45][1750/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.4862 (1.7698) Prec@1 66.406 (59.661) Prec@5 85.156 (81.390) Epoch: [45][1760/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.0161 (1.7700) Prec@1 53.906 (59.667) Prec@5 78.125 (81.384) Epoch: [45][1770/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.8453 (1.7700) Prec@1 57.031 (59.665) Prec@5 83.594 (81.386) Epoch: [45][1780/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.9729 (1.7702) Prec@1 53.906 (59.658) Prec@5 78.906 (81.377) Epoch: [45][1790/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6453 (1.7701) Prec@1 62.500 (59.653) Prec@5 82.812 (81.384) Epoch: [45][1800/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.6919 (1.7698) Prec@1 65.625 (59.664) Prec@5 83.594 (81.392) Epoch: [45][1810/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.1189 (1.7700) Prec@1 51.562 (59.667) Prec@5 76.562 (81.385) Epoch: [45][1820/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8696 (1.7706) Prec@1 60.938 (59.649) Prec@5 78.125 (81.374) Epoch: [45][1830/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.6507 (1.7704) Prec@1 63.281 (59.663) Prec@5 82.031 (81.372) Epoch: [45][1840/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.5995 (1.7698) Prec@1 61.719 (59.675) Prec@5 84.375 (81.378) Epoch: [45][1850/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.6127 (1.7703) Prec@1 60.938 (59.658) Prec@5 85.156 (81.369) Epoch: [45][1860/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.5328 (1.7698) Prec@1 62.500 (59.670) Prec@5 87.500 (81.379) Epoch: [45][1870/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.6138 (1.7701) Prec@1 60.938 (59.661) Prec@5 82.031 (81.372) Epoch: [45][1880/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.6317 (1.7699) Prec@1 57.812 (59.663) Prec@5 81.250 (81.371) Epoch: [45][1890/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.8517 (1.7693) Prec@1 59.375 (59.679) Prec@5 82.031 (81.386) Epoch: [45][1900/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.4539 (1.7692) Prec@1 63.281 (59.671) Prec@5 87.500 (81.390) Epoch: [45][1910/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.7491 (1.7697) Prec@1 62.500 (59.671) Prec@5 83.594 (81.381) Epoch: [45][1920/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 2.0038 (1.7699) Prec@1 56.250 (59.660) Prec@5 75.000 (81.384) Epoch: [45][1930/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.9729 (1.7701) Prec@1 57.812 (59.667) Prec@5 80.469 (81.383) Epoch: [45][1940/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.9488 (1.7704) Prec@1 57.812 (59.662) Prec@5 78.125 (81.380) Epoch: [45][1950/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.9870 (1.7707) Prec@1 53.125 (59.650) Prec@5 78.125 (81.379) Epoch: [45][1960/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8583 (1.7709) Prec@1 60.938 (59.649) Prec@5 81.250 (81.374) Epoch: [45][1970/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.6953 (1.7705) Prec@1 62.500 (59.652) Prec@5 84.375 (81.384) Epoch: [45][1980/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.6107 (1.7706) Prec@1 60.938 (59.655) Prec@5 85.156 (81.380) Epoch: [45][1990/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.9050 (1.7706) Prec@1 57.031 (59.654) Prec@5 81.250 (81.377) Epoch: [45][2000/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.5754 (1.7707) Prec@1 62.500 (59.647) Prec@5 83.594 (81.379) Epoch: [45][2010/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.8708 (1.7706) Prec@1 64.844 (59.648) Prec@5 80.469 (81.381) Epoch: [45][2020/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.6881 (1.7703) Prec@1 60.938 (59.655) Prec@5 80.469 (81.385) Epoch: [45][2030/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.6977 (1.7702) Prec@1 63.281 (59.656) Prec@5 78.906 (81.383) Epoch: [45][2040/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.9564 (1.7701) Prec@1 55.469 (59.662) Prec@5 80.469 (81.383) Epoch: [45][2050/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.6691 (1.7703) Prec@1 58.594 (59.658) Prec@5 85.938 (81.374) Epoch: [45][2060/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5800 (1.7705) Prec@1 64.844 (59.654) Prec@5 85.938 (81.375) Epoch: [45][2070/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.5955 (1.7702) Prec@1 64.062 (59.661) Prec@5 83.594 (81.377) Epoch: [45][2080/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.9538 (1.7702) Prec@1 58.594 (59.658) Prec@5 76.562 (81.374) Epoch: [45][2090/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9021 (1.7706) Prec@1 53.906 (59.648) Prec@5 75.000 (81.366) Epoch: [45][2100/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.8336 (1.7709) Prec@1 53.906 (59.636) Prec@5 80.469 (81.358) Epoch: [45][2110/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.7890 (1.7711) Prec@1 59.375 (59.631) Prec@5 78.906 (81.355) Epoch: [45][2120/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 2.0075 (1.7717) Prec@1 57.812 (59.623) Prec@5 77.344 (81.341) Epoch: [45][2130/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 2.0079 (1.7719) Prec@1 53.906 (59.610) Prec@5 78.125 (81.339) Epoch: [45][2140/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.0850 (1.7717) Prec@1 55.469 (59.616) Prec@5 71.094 (81.345) Epoch: [45][2150/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.7791 (1.7719) Prec@1 57.812 (59.612) Prec@5 81.250 (81.346) Epoch: [45][2160/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.8807 (1.7718) Prec@1 59.375 (59.622) Prec@5 77.344 (81.350) Epoch: [45][2170/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.8007 (1.7720) Prec@1 55.469 (59.617) Prec@5 81.250 (81.348) Epoch: [45][2180/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.8808 (1.7721) Prec@1 55.469 (59.606) Prec@5 81.250 (81.350) Epoch: [45][2190/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.8788 (1.7723) Prec@1 64.062 (59.608) Prec@5 74.219 (81.343) Epoch: [45][2200/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.8577 (1.7723) Prec@1 53.125 (59.608) Prec@5 80.469 (81.336) Epoch: [45][2210/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.7336 (1.7730) Prec@1 64.844 (59.600) Prec@5 81.250 (81.330) Epoch: [45][2220/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.7310 (1.7729) Prec@1 60.156 (59.602) Prec@5 78.906 (81.330) Epoch: [45][2230/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.3838 (1.7729) Prec@1 46.875 (59.605) Prec@5 73.438 (81.329) Epoch: [45][2240/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.7790 (1.7726) Prec@1 57.031 (59.610) Prec@5 79.688 (81.333) Epoch: [45][2250/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.5545 (1.7727) Prec@1 64.844 (59.605) Prec@5 82.031 (81.332) Epoch: [45][2260/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7837 (1.7728) Prec@1 60.156 (59.602) Prec@5 78.906 (81.330) Epoch: [45][2270/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.4025 (1.7730) Prec@1 64.062 (59.593) Prec@5 90.625 (81.329) Epoch: [45][2280/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.7628 (1.7734) Prec@1 62.500 (59.593) Prec@5 82.031 (81.320) Epoch: [45][2290/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.8737 (1.7738) Prec@1 57.031 (59.585) Prec@5 78.906 (81.311) Epoch: [45][2300/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.7307 (1.7738) Prec@1 60.938 (59.584) Prec@5 83.594 (81.314) Epoch: [45][2310/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.8302 (1.7738) Prec@1 53.906 (59.585) Prec@5 79.688 (81.313) Epoch: [45][2320/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 2.0874 (1.7739) Prec@1 52.344 (59.579) Prec@5 79.688 (81.311) Epoch: [45][2330/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.7905 (1.7741) Prec@1 54.688 (59.573) Prec@5 80.469 (81.307) Epoch: [45][2340/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.4898 (1.7740) Prec@1 62.500 (59.575) Prec@5 87.500 (81.305) Epoch: [45][2350/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.9937 (1.7745) Prec@1 54.688 (59.565) Prec@5 77.344 (81.300) Epoch: [45][2360/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.6371 (1.7746) Prec@1 61.719 (59.555) Prec@5 82.031 (81.299) Epoch: [45][2370/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.9265 (1.7749) Prec@1 55.469 (59.553) Prec@5 74.219 (81.292) Epoch: [45][2380/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.8104 (1.7749) Prec@1 57.031 (59.555) Prec@5 79.688 (81.286) Epoch: [45][2390/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.6569 (1.7754) Prec@1 57.812 (59.540) Prec@5 83.594 (81.284) Epoch: [45][2400/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.7717 (1.7753) Prec@1 60.938 (59.541) Prec@5 83.594 (81.287) Epoch: [45][2410/10010] Time 0.349 (0.332) Data 0.000 (0.002) Loss 1.7803 (1.7750) Prec@1 62.500 (59.553) Prec@5 81.250 (81.292) Epoch: [45][2420/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5899 (1.7750) Prec@1 62.500 (59.549) Prec@5 85.156 (81.292) Epoch: [45][2430/10010] Time 0.350 (0.332) Data 0.000 (0.002) Loss 1.9939 (1.7753) Prec@1 58.594 (59.545) Prec@5 79.688 (81.287) Epoch: [45][2440/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.7249 (1.7755) Prec@1 61.719 (59.540) Prec@5 82.812 (81.283) Epoch: [45][2450/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.8271 (1.7760) Prec@1 60.938 (59.532) Prec@5 83.594 (81.276) Epoch: [45][2460/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.7648 (1.7761) Prec@1 59.375 (59.524) Prec@5 83.594 (81.274) Epoch: [45][2470/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.9782 (1.7763) Prec@1 56.250 (59.522) Prec@5 78.906 (81.274) Epoch: [45][2480/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.9608 (1.7761) Prec@1 56.250 (59.531) Prec@5 77.344 (81.273) Epoch: [45][2490/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 2.1143 (1.7769) Prec@1 54.688 (59.518) Prec@5 78.125 (81.260) Epoch: [45][2500/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.9722 (1.7771) Prec@1 57.812 (59.518) Prec@5 82.031 (81.256) Epoch: [45][2510/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.7387 (1.7770) Prec@1 59.375 (59.524) Prec@5 83.594 (81.253) Epoch: [45][2520/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 1.8554 (1.7771) Prec@1 60.938 (59.527) Prec@5 76.562 (81.252) Epoch: [45][2530/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.8700 (1.7771) Prec@1 57.031 (59.531) Prec@5 80.469 (81.251) Epoch: [45][2540/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 1.6995 (1.7773) Prec@1 62.500 (59.531) Prec@5 81.250 (81.246) Epoch: [45][2550/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8764 (1.7772) Prec@1 58.594 (59.532) Prec@5 79.688 (81.248) Epoch: [45][2560/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.5170 (1.7776) Prec@1 67.969 (59.532) Prec@5 81.250 (81.241) Epoch: [45][2570/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8826 (1.7783) Prec@1 57.031 (59.517) Prec@5 78.125 (81.230) Epoch: [45][2580/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 2.0398 (1.7786) Prec@1 53.125 (59.512) Prec@5 76.562 (81.225) Epoch: [45][2590/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.7334 (1.7786) Prec@1 59.375 (59.512) Prec@5 84.375 (81.220) Epoch: [45][2600/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.7926 (1.7788) Prec@1 57.812 (59.506) Prec@5 79.688 (81.216) Epoch: [45][2610/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.9202 (1.7785) Prec@1 60.156 (59.516) Prec@5 75.781 (81.214) Epoch: [45][2620/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 2.1058 (1.7781) Prec@1 60.156 (59.529) Prec@5 78.125 (81.220) Epoch: [45][2630/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6228 (1.7780) Prec@1 60.938 (59.532) Prec@5 85.156 (81.223) Epoch: [45][2640/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 2.0652 (1.7784) Prec@1 54.688 (59.522) Prec@5 78.125 (81.216) Epoch: [45][2650/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.9983 (1.7785) Prec@1 54.688 (59.519) Prec@5 78.125 (81.210) Epoch: [45][2660/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.6534 (1.7785) Prec@1 60.938 (59.517) Prec@5 82.812 (81.206) Epoch: [45][2670/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.5960 (1.7786) Prec@1 64.062 (59.514) Prec@5 87.500 (81.207) Epoch: [45][2680/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.4117 (1.7785) Prec@1 71.094 (59.518) Prec@5 86.719 (81.206) Epoch: [45][2690/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.7261 (1.7783) Prec@1 62.500 (59.523) Prec@5 82.031 (81.211) Epoch: [45][2700/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.5097 (1.7785) Prec@1 69.531 (59.520) Prec@5 85.938 (81.208) Epoch: [45][2710/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.8962 (1.7784) Prec@1 56.250 (59.525) Prec@5 78.906 (81.213) Epoch: [45][2720/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9153 (1.7784) Prec@1 60.156 (59.528) Prec@5 78.125 (81.217) Epoch: [45][2730/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.6142 (1.7786) Prec@1 63.281 (59.525) Prec@5 85.938 (81.215) Epoch: [45][2740/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 1.8259 (1.7791) Prec@1 60.156 (59.517) Prec@5 77.344 (81.204) Epoch: [45][2750/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.8933 (1.7790) Prec@1 62.500 (59.521) Prec@5 82.031 (81.207) Epoch: [45][2760/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8240 (1.7787) Prec@1 60.156 (59.521) Prec@5 82.031 (81.213) Epoch: [45][2770/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.6178 (1.7783) Prec@1 60.938 (59.526) Prec@5 82.812 (81.217) Epoch: [45][2780/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.6540 (1.7781) Prec@1 64.844 (59.533) Prec@5 84.375 (81.224) Epoch: [45][2790/10010] Time 0.346 (0.332) Data 0.000 (0.002) Loss 1.7314 (1.7782) Prec@1 64.062 (59.526) Prec@5 84.375 (81.224) Epoch: [45][2800/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8265 (1.7784) Prec@1 57.812 (59.521) Prec@5 82.031 (81.224) Epoch: [45][2810/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 2.1232 (1.7785) Prec@1 56.250 (59.516) Prec@5 75.000 (81.221) Epoch: [45][2820/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7858 (1.7783) Prec@1 64.844 (59.524) Prec@5 79.688 (81.225) Epoch: [45][2830/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7232 (1.7784) Prec@1 64.062 (59.521) Prec@5 81.250 (81.221) Epoch: [45][2840/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6775 (1.7781) Prec@1 64.062 (59.528) Prec@5 81.250 (81.227) Epoch: [45][2850/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8357 (1.7783) Prec@1 55.469 (59.522) Prec@5 78.906 (81.220) Epoch: [45][2860/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9300 (1.7788) Prec@1 57.812 (59.512) Prec@5 78.906 (81.213) Epoch: [45][2870/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7817 (1.7785) Prec@1 62.500 (59.522) Prec@5 82.031 (81.218) Epoch: [45][2880/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6492 (1.7783) Prec@1 64.844 (59.528) Prec@5 81.250 (81.220) Epoch: [45][2890/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.9842 (1.7784) Prec@1 53.906 (59.521) Prec@5 77.344 (81.221) Epoch: [45][2900/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7574 (1.7786) Prec@1 63.281 (59.518) Prec@5 81.250 (81.218) Epoch: [45][2910/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.1489 (1.7786) Prec@1 50.781 (59.518) Prec@5 78.125 (81.218) Epoch: [45][2920/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9561 (1.7786) Prec@1 53.906 (59.519) Prec@5 77.344 (81.214) /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][2930/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.3611 (1.7785) Prec@1 66.406 (59.518) Prec@5 87.500 (81.217) Epoch: [45][2940/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7373 (1.7784) Prec@1 56.250 (59.519) Prec@5 80.469 (81.215) Epoch: [45][2950/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6068 (1.7786) Prec@1 57.031 (59.516) Prec@5 83.594 (81.214) Epoch: [45][2960/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8828 (1.7786) Prec@1 58.594 (59.512) Prec@5 79.688 (81.213) Epoch: [45][2970/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8917 (1.7791) Prec@1 57.031 (59.504) Prec@5 80.469 (81.208) Epoch: [45][2980/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.6231 (1.7791) Prec@1 63.281 (59.505) Prec@5 82.812 (81.207) Epoch: [45][2990/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9121 (1.7792) Prec@1 56.250 (59.502) Prec@5 77.344 (81.206) Epoch: [45][3000/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9630 (1.7791) Prec@1 54.688 (59.500) Prec@5 78.906 (81.211) Epoch: [45][3010/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6130 (1.7791) Prec@1 62.500 (59.502) Prec@5 82.812 (81.208) Epoch: [45][3020/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7765 (1.7786) Prec@1 60.156 (59.512) Prec@5 82.031 (81.216) Epoch: [45][3030/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.5571 (1.7787) Prec@1 66.406 (59.505) Prec@5 85.938 (81.216) Epoch: [45][3040/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7386 (1.7784) Prec@1 55.469 (59.510) Prec@5 82.812 (81.219) Epoch: [45][3050/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.3983 (1.7786) Prec@1 72.656 (59.509) Prec@5 86.719 (81.215) Epoch: [45][3060/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.0131 (1.7790) Prec@1 57.812 (59.502) Prec@5 82.031 (81.208) Epoch: [45][3070/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8562 (1.7792) Prec@1 53.906 (59.496) Prec@5 78.906 (81.203) Epoch: [45][3080/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6091 (1.7793) Prec@1 61.719 (59.495) Prec@5 85.156 (81.201) Epoch: [45][3090/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7701 (1.7797) Prec@1 60.156 (59.491) Prec@5 85.938 (81.200) Epoch: [45][3100/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7782 (1.7794) Prec@1 58.594 (59.492) Prec@5 81.250 (81.209) Epoch: [45][3110/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8789 (1.7790) Prec@1 56.250 (59.503) Prec@5 81.250 (81.215) Epoch: [45][3120/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6561 (1.7789) Prec@1 65.625 (59.506) Prec@5 82.031 (81.219) Epoch: [45][3130/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.4073 (1.7791) Prec@1 64.844 (59.503) Prec@5 85.938 (81.215) Epoch: [45][3140/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9034 (1.7787) Prec@1 56.250 (59.513) Prec@5 80.469 (81.219) Epoch: [45][3150/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6048 (1.7786) Prec@1 61.719 (59.514) Prec@5 85.938 (81.219) Epoch: [45][3160/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0910 (1.7788) Prec@1 54.688 (59.516) Prec@5 77.344 (81.216) Epoch: [45][3170/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9190 (1.7789) Prec@1 52.344 (59.513) Prec@5 80.469 (81.212) Epoch: [45][3180/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7725 (1.7790) Prec@1 59.375 (59.511) Prec@5 82.031 (81.211) Epoch: [45][3190/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7834 (1.7790) Prec@1 59.375 (59.512) Prec@5 78.906 (81.210) Epoch: [45][3200/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.9163 (1.7790) Prec@1 64.844 (59.515) Prec@5 82.031 (81.209) Epoch: [45][3210/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.1297 (1.7792) Prec@1 49.219 (59.510) Prec@5 75.000 (81.205) Epoch: [45][3220/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.1819 (1.7793) Prec@1 48.438 (59.505) Prec@5 73.438 (81.207) Epoch: [45][3230/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9215 (1.7793) Prec@1 56.250 (59.507) Prec@5 77.344 (81.206) Epoch: [45][3240/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7553 (1.7792) Prec@1 63.281 (59.511) Prec@5 81.250 (81.210) Epoch: [45][3250/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8590 (1.7794) Prec@1 56.250 (59.505) Prec@5 80.469 (81.205) Epoch: [45][3260/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6814 (1.7793) Prec@1 60.156 (59.513) Prec@5 82.812 (81.210) Epoch: [45][3270/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.9681 (1.7800) Prec@1 56.250 (59.505) Prec@5 77.344 (81.197) Epoch: [45][3280/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.6703 (1.7798) Prec@1 60.938 (59.504) Prec@5 82.812 (81.202) Epoch: [45][3290/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0386 (1.7799) Prec@1 59.375 (59.495) Prec@5 78.125 (81.198) Epoch: [45][3300/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6243 (1.7798) Prec@1 60.156 (59.498) Prec@5 82.812 (81.201) Epoch: [45][3310/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.0914 (1.7798) Prec@1 52.344 (59.498) Prec@5 74.219 (81.201) Epoch: [45][3320/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6422 (1.7798) Prec@1 64.844 (59.497) Prec@5 84.375 (81.200) Epoch: [45][3330/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6264 (1.7798) Prec@1 58.594 (59.495) Prec@5 82.812 (81.198) Epoch: [45][3340/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9914 (1.7799) Prec@1 55.469 (59.494) Prec@5 81.250 (81.197) Epoch: [45][3350/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9331 (1.7799) Prec@1 59.375 (59.491) Prec@5 83.594 (81.198) Epoch: [45][3360/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8437 (1.7800) Prec@1 67.969 (59.488) Prec@5 80.469 (81.194) Epoch: [45][3370/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7436 (1.7801) Prec@1 60.156 (59.486) Prec@5 81.250 (81.194) Epoch: [45][3380/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6976 (1.7801) Prec@1 63.281 (59.483) Prec@5 81.250 (81.195) Epoch: [45][3390/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8705 (1.7802) Prec@1 62.500 (59.483) Prec@5 78.906 (81.194) Epoch: [45][3400/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6598 (1.7798) Prec@1 60.156 (59.488) Prec@5 82.031 (81.200) Epoch: [45][3410/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.6792 (1.7797) Prec@1 57.031 (59.488) Prec@5 82.031 (81.201) Epoch: [45][3420/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9242 (1.7796) Prec@1 57.812 (59.493) Prec@5 80.469 (81.197) Epoch: [45][3430/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.5564 (1.7798) Prec@1 61.719 (59.496) Prec@5 86.719 (81.196) Epoch: [45][3440/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 1.7095 (1.7799) Prec@1 65.625 (59.495) Prec@5 82.812 (81.194) Epoch: [45][3450/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7667 (1.7800) Prec@1 58.594 (59.493) Prec@5 80.469 (81.194) Epoch: [45][3460/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.5659 (1.7801) Prec@1 57.812 (59.488) Prec@5 89.062 (81.191) Epoch: [45][3470/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8266 (1.7800) Prec@1 57.812 (59.488) Prec@5 78.906 (81.191) Epoch: [45][3480/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.5980 (1.7802) Prec@1 60.938 (59.485) Prec@5 83.594 (81.185) Epoch: [45][3490/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7695 (1.7802) Prec@1 58.594 (59.482) Prec@5 80.469 (81.186) Epoch: [45][3500/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8605 (1.7804) Prec@1 57.812 (59.478) Prec@5 81.250 (81.181) Epoch: [45][3510/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6890 (1.7806) Prec@1 63.281 (59.477) Prec@5 82.031 (81.179) Epoch: [45][3520/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5549 (1.7806) Prec@1 64.062 (59.476) Prec@5 87.500 (81.181) Epoch: [45][3530/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6899 (1.7805) Prec@1 60.156 (59.479) Prec@5 81.250 (81.180) Epoch: [45][3540/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7539 (1.7806) Prec@1 58.594 (59.476) Prec@5 84.375 (81.181) Epoch: [45][3550/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.1690 (1.7806) Prec@1 50.000 (59.474) Prec@5 75.000 (81.180) Epoch: [45][3560/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6999 (1.7809) Prec@1 62.500 (59.469) Prec@5 79.688 (81.174) Epoch: [45][3570/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9197 (1.7810) Prec@1 57.812 (59.466) Prec@5 76.562 (81.172) Epoch: [45][3580/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6510 (1.7809) Prec@1 60.938 (59.471) Prec@5 83.594 (81.175) Epoch: [45][3590/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.1088 (1.7809) Prec@1 51.562 (59.467) Prec@5 75.781 (81.175) Epoch: [45][3600/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8206 (1.7808) Prec@1 58.594 (59.466) Prec@5 78.906 (81.178) Epoch: [45][3610/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3176 (1.7806) Prec@1 44.531 (59.467) Prec@5 71.094 (81.183) Epoch: [45][3620/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7901 (1.7807) Prec@1 59.375 (59.462) Prec@5 79.688 (81.179) Epoch: [45][3630/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7882 (1.7809) Prec@1 60.938 (59.459) Prec@5 82.031 (81.178) Epoch: [45][3640/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9672 (1.7810) Prec@1 58.594 (59.451) Prec@5 78.125 (81.176) Epoch: [45][3650/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.0457 (1.7813) Prec@1 54.688 (59.447) Prec@5 74.219 (81.173) Epoch: [45][3660/10010] Time 0.313 (0.332) Data 0.001 (0.001) Loss 1.6200 (1.7813) Prec@1 59.375 (59.443) Prec@5 83.594 (81.177) Epoch: [45][3670/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6624 (1.7814) Prec@1 61.719 (59.442) Prec@5 87.500 (81.178) Epoch: [45][3680/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8372 (1.7816) Prec@1 64.062 (59.439) Prec@5 78.125 (81.174) Epoch: [45][3690/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.4682 (1.7815) Prec@1 65.625 (59.442) Prec@5 85.938 (81.176) Epoch: [45][3700/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9768 (1.7819) Prec@1 55.469 (59.435) Prec@5 76.562 (81.169) Epoch: [45][3710/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6426 (1.7815) Prec@1 64.062 (59.444) Prec@5 79.688 (81.172) Epoch: [45][3720/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9384 (1.7815) Prec@1 53.906 (59.444) Prec@5 78.906 (81.172) Epoch: [45][3730/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.5999 (1.7814) Prec@1 64.844 (59.446) Prec@5 83.594 (81.173) Epoch: [45][3740/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8057 (1.7815) Prec@1 60.938 (59.446) Prec@5 82.812 (81.171) Epoch: [45][3750/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.0093 (1.7817) Prec@1 57.812 (59.445) Prec@5 78.906 (81.171) Epoch: [45][3760/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5834 (1.7819) Prec@1 58.594 (59.440) Prec@5 82.812 (81.167) Epoch: [45][3770/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6524 (1.7818) Prec@1 57.812 (59.441) Prec@5 82.031 (81.164) Epoch: [45][3780/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.9190 (1.7816) Prec@1 50.781 (59.444) Prec@5 81.250 (81.167) Epoch: [45][3790/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.5637 (1.7816) Prec@1 63.281 (59.444) Prec@5 85.938 (81.164) Epoch: [45][3800/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6052 (1.7815) Prec@1 64.062 (59.450) Prec@5 83.594 (81.167) Epoch: [45][3810/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.7731 (1.7815) Prec@1 60.156 (59.452) Prec@5 81.250 (81.167) Epoch: [45][3820/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6539 (1.7816) Prec@1 60.156 (59.450) Prec@5 84.375 (81.165) Epoch: [45][3830/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8119 (1.7814) Prec@1 58.594 (59.452) Prec@5 82.031 (81.167) Epoch: [45][3840/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7836 (1.7813) Prec@1 55.469 (59.449) Prec@5 83.594 (81.170) Epoch: [45][3850/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8744 (1.7814) Prec@1 55.469 (59.445) Prec@5 78.906 (81.168) Epoch: [45][3860/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6181 (1.7812) Prec@1 59.375 (59.447) Prec@5 82.812 (81.169) Epoch: [45][3870/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8058 (1.7813) Prec@1 60.938 (59.446) Prec@5 80.469 (81.167) Epoch: [45][3880/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.7857 (1.7813) Prec@1 60.938 (59.445) Prec@5 79.688 (81.168) /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][3890/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.4053 (1.7814) Prec@1 66.406 (59.441) Prec@5 85.938 (81.169) Epoch: [45][3900/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6628 (1.7815) Prec@1 62.500 (59.441) Prec@5 82.031 (81.165) Epoch: [45][3910/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8368 (1.7817) Prec@1 57.031 (59.437) Prec@5 79.688 (81.158) Epoch: [45][3920/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8542 (1.7816) Prec@1 57.031 (59.441) Prec@5 80.469 (81.159) Epoch: [45][3930/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6809 (1.7818) Prec@1 63.281 (59.438) Prec@5 82.812 (81.153) Epoch: [45][3940/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8198 (1.7820) Prec@1 59.375 (59.431) Prec@5 78.906 (81.151) Epoch: [45][3950/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.8991 (1.7821) Prec@1 55.469 (59.427) Prec@5 83.594 (81.151) Epoch: [45][3960/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7620 (1.7822) Prec@1 59.375 (59.426) Prec@5 83.594 (81.147) Epoch: [45][3970/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7906 (1.7824) Prec@1 60.938 (59.422) Prec@5 82.031 (81.144) Epoch: [45][3980/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.5404 (1.7823) Prec@1 59.375 (59.425) Prec@5 84.375 (81.147) Epoch: [45][3990/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8237 (1.7822) Prec@1 54.688 (59.426) Prec@5 77.344 (81.149) Epoch: [45][4000/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5818 (1.7821) Prec@1 61.719 (59.426) Prec@5 84.375 (81.149) Epoch: [45][4010/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.7744 (1.7821) Prec@1 64.062 (59.428) Prec@5 80.469 (81.149) Epoch: [45][4020/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5925 (1.7822) Prec@1 60.938 (59.425) Prec@5 85.156 (81.146) Epoch: [45][4030/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9514 (1.7825) Prec@1 57.812 (59.418) Prec@5 82.031 (81.144) Epoch: [45][4040/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.4538 (1.7824) Prec@1 64.062 (59.419) Prec@5 82.812 (81.146) Epoch: [45][4050/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6476 (1.7825) Prec@1 60.938 (59.422) Prec@5 81.250 (81.145) Epoch: [45][4060/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9466 (1.7825) Prec@1 57.031 (59.416) Prec@5 78.906 (81.147) Epoch: [45][4070/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8639 (1.7826) Prec@1 56.250 (59.415) Prec@5 75.781 (81.147) Epoch: [45][4080/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6950 (1.7827) Prec@1 59.375 (59.415) Prec@5 84.375 (81.148) Epoch: [45][4090/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0253 (1.7828) Prec@1 56.250 (59.415) Prec@5 75.000 (81.148) Epoch: [45][4100/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9158 (1.7829) Prec@1 56.250 (59.411) Prec@5 76.562 (81.147) Epoch: [45][4110/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8777 (1.7829) Prec@1 63.281 (59.412) Prec@5 78.906 (81.148) Epoch: [45][4120/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 2.1297 (1.7832) Prec@1 54.688 (59.408) Prec@5 77.344 (81.146) Epoch: [45][4130/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.1325 (1.7833) Prec@1 57.031 (59.408) Prec@5 75.000 (81.145) Epoch: [45][4140/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8809 (1.7834) Prec@1 59.375 (59.409) Prec@5 81.250 (81.143) Epoch: [45][4150/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7356 (1.7833) Prec@1 59.375 (59.410) Prec@5 80.469 (81.143) Epoch: [45][4160/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9912 (1.7832) Prec@1 60.938 (59.414) Prec@5 78.125 (81.144) Epoch: [45][4170/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9540 (1.7833) Prec@1 54.688 (59.411) Prec@5 77.344 (81.142) Epoch: [45][4180/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6275 (1.7833) Prec@1 64.062 (59.415) Prec@5 81.250 (81.141) Epoch: [45][4190/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.9465 (1.7834) Prec@1 59.375 (59.413) Prec@5 77.344 (81.138) Epoch: [45][4200/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.9106 (1.7836) Prec@1 55.469 (59.410) Prec@5 81.250 (81.136) Epoch: [45][4210/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6178 (1.7839) Prec@1 59.375 (59.405) Prec@5 82.812 (81.132) Epoch: [45][4220/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8419 (1.7840) Prec@1 57.812 (59.405) Prec@5 81.250 (81.131) Epoch: [45][4230/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8484 (1.7842) Prec@1 61.719 (59.400) Prec@5 78.125 (81.130) Epoch: [45][4240/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8233 (1.7839) Prec@1 60.156 (59.408) Prec@5 79.688 (81.135) Epoch: [45][4250/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.5319 (1.7836) Prec@1 63.281 (59.410) Prec@5 87.500 (81.139) Epoch: [45][4260/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7695 (1.7837) Prec@1 59.375 (59.405) Prec@5 81.250 (81.138) Epoch: [45][4270/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5892 (1.7836) Prec@1 60.156 (59.404) Prec@5 83.594 (81.139) Epoch: [45][4280/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.0694 (1.7836) Prec@1 53.125 (59.403) Prec@5 78.125 (81.138) Epoch: [45][4290/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7716 (1.7837) Prec@1 58.594 (59.403) Prec@5 79.688 (81.136) Epoch: [45][4300/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7159 (1.7837) Prec@1 57.031 (59.404) Prec@5 82.812 (81.134) Epoch: [45][4310/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6462 (1.7838) Prec@1 70.312 (59.409) Prec@5 84.375 (81.133) Epoch: [45][4320/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.9528 (1.7838) Prec@1 58.594 (59.408) Prec@5 75.781 (81.131) Epoch: [45][4330/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0420 (1.7840) Prec@1 60.938 (59.407) Prec@5 78.125 (81.129) Epoch: [45][4340/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9736 (1.7839) Prec@1 57.812 (59.411) Prec@5 76.562 (81.128) Epoch: [45][4350/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.8367 (1.7841) Prec@1 58.594 (59.407) Prec@5 77.344 (81.125) Epoch: [45][4360/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7142 (1.7840) Prec@1 61.719 (59.408) Prec@5 80.469 (81.128) Epoch: [45][4370/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 2.0111 (1.7838) Prec@1 61.719 (59.409) Prec@5 78.906 (81.132) Epoch: [45][4380/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9367 (1.7841) Prec@1 57.812 (59.405) Prec@5 76.562 (81.128) Epoch: [45][4390/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9730 (1.7841) Prec@1 50.781 (59.406) Prec@5 78.125 (81.128) Epoch: [45][4400/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5241 (1.7839) Prec@1 63.281 (59.409) Prec@5 83.594 (81.128) Epoch: [45][4410/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.7388 (1.7840) Prec@1 59.375 (59.406) Prec@5 82.031 (81.128) Epoch: [45][4420/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 2.0738 (1.7841) Prec@1 58.594 (59.404) Prec@5 78.125 (81.125) Epoch: [45][4430/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8819 (1.7843) Prec@1 58.594 (59.401) Prec@5 77.344 (81.122) Epoch: [45][4440/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8931 (1.7842) Prec@1 58.594 (59.406) Prec@5 75.781 (81.123) Epoch: [45][4450/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.7767 (1.7844) Prec@1 56.250 (59.404) Prec@5 81.250 (81.119) Epoch: [45][4460/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.8115 (1.7845) Prec@1 59.375 (59.399) Prec@5 79.688 (81.116) Epoch: [45][4470/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.4130 (1.7846) Prec@1 69.531 (59.401) Prec@5 86.719 (81.114) Epoch: [45][4480/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9807 (1.7848) Prec@1 53.125 (59.396) Prec@5 77.344 (81.109) Epoch: [45][4490/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7506 (1.7849) Prec@1 62.500 (59.396) Prec@5 78.906 (81.109) Epoch: [45][4500/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8335 (1.7850) Prec@1 57.812 (59.392) Prec@5 79.688 (81.106) Epoch: [45][4510/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0546 (1.7852) Prec@1 53.906 (59.389) Prec@5 75.781 (81.104) Epoch: [45][4520/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8122 (1.7852) Prec@1 61.719 (59.388) Prec@5 82.812 (81.104) Epoch: [45][4530/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8193 (1.7851) Prec@1 57.812 (59.388) Prec@5 82.031 (81.107) Epoch: [45][4540/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.0161 (1.7852) Prec@1 54.688 (59.384) Prec@5 80.469 (81.105) Epoch: [45][4550/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8850 (1.7851) Prec@1 56.250 (59.386) Prec@5 79.688 (81.105) Epoch: [45][4560/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 2.1544 (1.7851) Prec@1 50.781 (59.385) Prec@5 76.562 (81.104) Epoch: [45][4570/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 2.0518 (1.7850) Prec@1 54.688 (59.387) Prec@5 78.125 (81.106) Epoch: [45][4580/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.5604 (1.7851) Prec@1 63.281 (59.385) Prec@5 85.156 (81.105) Epoch: [45][4590/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 2.2740 (1.7850) Prec@1 51.562 (59.389) Prec@5 72.656 (81.104) Epoch: [45][4600/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.4871 (1.7851) Prec@1 61.719 (59.388) Prec@5 84.375 (81.102) Epoch: [45][4610/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6761 (1.7852) Prec@1 62.500 (59.386) Prec@5 85.156 (81.101) Epoch: [45][4620/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6418 (1.7851) Prec@1 59.375 (59.387) Prec@5 83.594 (81.101) Epoch: [45][4630/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7732 (1.7853) Prec@1 57.031 (59.383) Prec@5 81.250 (81.100) Epoch: [45][4640/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.9174 (1.7853) Prec@1 55.469 (59.383) Prec@5 78.125 (81.097) Epoch: [45][4650/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.5779 (1.7852) Prec@1 61.719 (59.385) Prec@5 86.719 (81.100) Epoch: [45][4660/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9501 (1.7854) Prec@1 61.719 (59.384) Prec@5 79.688 (81.099) Epoch: [45][4670/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9058 (1.7854) Prec@1 53.906 (59.383) Prec@5 78.906 (81.100) Epoch: [45][4680/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.2254 (1.7857) Prec@1 47.656 (59.375) Prec@5 76.562 (81.098) Epoch: [45][4690/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.1993 (1.7859) Prec@1 53.125 (59.370) Prec@5 75.781 (81.097) Epoch: [45][4700/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.1193 (1.7857) Prec@1 57.031 (59.373) Prec@5 77.344 (81.101) Epoch: [45][4710/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.6893 (1.7857) Prec@1 62.500 (59.375) Prec@5 84.375 (81.103) Epoch: [45][4720/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6695 (1.7857) Prec@1 60.156 (59.378) Prec@5 84.375 (81.103) Epoch: [45][4730/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.5018 (1.7856) Prec@1 62.500 (59.378) Prec@5 84.375 (81.105) Epoch: [45][4740/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8949 (1.7855) Prec@1 61.719 (59.380) Prec@5 80.469 (81.107) Epoch: [45][4750/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6215 (1.7854) Prec@1 60.938 (59.380) Prec@5 85.938 (81.108) Epoch: [45][4760/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7958 (1.7855) Prec@1 53.906 (59.379) Prec@5 75.781 (81.107) Epoch: [45][4770/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7821 (1.7855) Prec@1 63.281 (59.378) Prec@5 80.469 (81.108) Epoch: [45][4780/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.0261 (1.7859) Prec@1 58.594 (59.374) Prec@5 78.125 (81.101) Epoch: [45][4790/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8939 (1.7859) Prec@1 57.812 (59.372) Prec@5 78.906 (81.101) Epoch: [45][4800/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6132 (1.7859) Prec@1 63.281 (59.372) Prec@5 82.031 (81.100) Epoch: [45][4810/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7363 (1.7858) Prec@1 60.156 (59.377) Prec@5 83.594 (81.102) Epoch: [45][4820/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7507 (1.7858) Prec@1 60.938 (59.376) Prec@5 82.031 (81.100) Epoch: [45][4830/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 2.1793 (1.7859) Prec@1 49.219 (59.374) Prec@5 74.219 (81.097) Epoch: [45][4840/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7101 (1.7859) Prec@1 60.938 (59.375) Prec@5 85.156 (81.098) Epoch: [45][4850/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7389 (1.7859) Prec@1 57.812 (59.374) Prec@5 84.375 (81.097) Epoch: [45][4860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9501 (1.7861) Prec@1 63.281 (59.372) Prec@5 77.344 (81.094) Epoch: [45][4870/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7475 (1.7862) Prec@1 62.500 (59.371) Prec@5 81.250 (81.092) Epoch: [45][4880/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.9167 (1.7862) Prec@1 59.375 (59.370) Prec@5 78.906 (81.089) Epoch: [45][4890/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7082 (1.7863) Prec@1 60.156 (59.369) Prec@5 80.469 (81.089) Epoch: [45][4900/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9428 (1.7864) Prec@1 56.250 (59.368) Prec@5 77.344 (81.086) Epoch: [45][4910/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7000 (1.7865) Prec@1 58.594 (59.366) Prec@5 81.250 (81.085) Epoch: [45][4920/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.5137 (1.7865) Prec@1 65.625 (59.366) Prec@5 84.375 (81.084) Epoch: [45][4930/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8429 (1.7865) Prec@1 58.594 (59.367) Prec@5 79.688 (81.082) Epoch: [45][4940/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8305 (1.7865) Prec@1 59.375 (59.369) Prec@5 78.125 (81.081) Epoch: [45][4950/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8002 (1.7866) Prec@1 60.938 (59.366) Prec@5 80.469 (81.079) Epoch: [45][4960/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6750 (1.7867) Prec@1 63.281 (59.368) Prec@5 83.594 (81.073) Epoch: [45][4970/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8682 (1.7866) Prec@1 57.031 (59.367) Prec@5 82.031 (81.076) Epoch: [45][4980/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.8186 (1.7866) Prec@1 60.938 (59.369) Prec@5 77.344 (81.077) Epoch: [45][4990/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 2.0203 (1.7867) Prec@1 57.031 (59.366) Prec@5 77.344 (81.072) Epoch: [45][5000/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.6370 (1.7866) Prec@1 64.844 (59.369) Prec@5 82.812 (81.073) Epoch: [45][5010/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.8348 (1.7868) Prec@1 54.688 (59.365) Prec@5 82.031 (81.072) Epoch: [45][5020/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9672 (1.7870) Prec@1 57.031 (59.363) Prec@5 80.469 (81.068) Epoch: [45][5030/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0521 (1.7871) Prec@1 53.906 (59.364) Prec@5 76.562 (81.065) Epoch: [45][5040/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8647 (1.7873) Prec@1 56.250 (59.361) Prec@5 82.031 (81.060) Epoch: [45][5050/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.0009 (1.7873) Prec@1 55.469 (59.361) Prec@5 78.125 (81.060) /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][5060/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.7477 (1.7872) Prec@1 58.594 (59.363) Prec@5 78.125 (81.062) Epoch: [45][5070/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6319 (1.7872) Prec@1 63.281 (59.361) Prec@5 82.031 (81.063) Epoch: [45][5080/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8280 (1.7873) Prec@1 58.594 (59.360) Prec@5 80.469 (81.062) Epoch: [45][5090/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7378 (1.7873) Prec@1 60.938 (59.359) Prec@5 78.906 (81.060) Epoch: [45][5100/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.7265 (1.7873) Prec@1 57.031 (59.359) Prec@5 82.031 (81.060) Epoch: [45][5110/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6658 (1.7874) Prec@1 60.156 (59.354) Prec@5 83.594 (81.060) Epoch: [45][5120/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7153 (1.7873) Prec@1 57.812 (59.353) Prec@5 81.250 (81.061) Epoch: [45][5130/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6192 (1.7874) Prec@1 60.938 (59.354) Prec@5 85.938 (81.059) Epoch: [45][5140/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.3001 (1.7873) Prec@1 67.188 (59.354) Prec@5 85.938 (81.060) Epoch: [45][5150/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6703 (1.7873) Prec@1 56.250 (59.353) Prec@5 83.594 (81.061) Epoch: [45][5160/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 2.0242 (1.7873) Prec@1 56.250 (59.353) Prec@5 78.906 (81.058) Epoch: [45][5170/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.5817 (1.7873) Prec@1 60.156 (59.350) Prec@5 83.594 (81.056) Epoch: [45][5180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9353 (1.7874) Prec@1 57.812 (59.351) Prec@5 81.250 (81.057) Epoch: [45][5190/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.8573 (1.7874) Prec@1 53.906 (59.346) Prec@5 81.250 (81.058) Epoch: [45][5200/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8211 (1.7875) Prec@1 55.469 (59.342) Prec@5 81.250 (81.058) Epoch: [45][5210/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.6297 (1.7876) Prec@1 60.156 (59.339) Prec@5 82.812 (81.056) Epoch: [45][5220/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8376 (1.7875) Prec@1 58.594 (59.343) Prec@5 76.562 (81.056) Epoch: [45][5230/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7185 (1.7877) Prec@1 62.500 (59.340) Prec@5 82.031 (81.054) Epoch: [45][5240/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.6316 (1.7876) Prec@1 60.938 (59.342) Prec@5 85.938 (81.056) Epoch: [45][5250/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6573 (1.7877) Prec@1 64.062 (59.344) Prec@5 83.594 (81.055) Epoch: [45][5260/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9750 (1.7876) Prec@1 53.125 (59.344) Prec@5 78.906 (81.056) Epoch: [45][5270/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7224 (1.7876) Prec@1 64.062 (59.344) Prec@5 81.250 (81.053) Epoch: [45][5280/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.6263 (1.7877) Prec@1 59.375 (59.343) Prec@5 84.375 (81.054) Epoch: [45][5290/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8763 (1.7876) Prec@1 55.469 (59.343) Prec@5 76.562 (81.054) Epoch: [45][5300/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7167 (1.7877) Prec@1 57.031 (59.340) Prec@5 86.719 (81.055) Epoch: [45][5310/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0400 (1.7878) Prec@1 53.906 (59.338) Prec@5 77.344 (81.053) Epoch: [45][5320/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6659 (1.7876) Prec@1 65.625 (59.342) Prec@5 82.812 (81.056) Epoch: [45][5330/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6025 (1.7874) Prec@1 64.844 (59.345) Prec@5 82.031 (81.057) Epoch: [45][5340/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6727 (1.7873) Prec@1 57.031 (59.345) Prec@5 80.469 (81.060) Epoch: [45][5350/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.1107 (1.7872) Prec@1 72.656 (59.346) Prec@5 89.844 (81.059) Epoch: [45][5360/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6802 (1.7871) Prec@1 62.500 (59.349) Prec@5 84.375 (81.061) Epoch: [45][5370/10010] Time 0.318 (0.331) Data 0.002 (0.001) Loss 1.8694 (1.7871) Prec@1 59.375 (59.353) Prec@5 82.031 (81.061) Epoch: [45][5380/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.4510 (1.7871) Prec@1 62.500 (59.354) Prec@5 87.500 (81.060) Epoch: [45][5390/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8113 (1.7872) Prec@1 58.594 (59.355) Prec@5 78.125 (81.057) Epoch: [45][5400/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9239 (1.7873) Prec@1 54.688 (59.352) Prec@5 76.562 (81.054) Epoch: [45][5410/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.2721 (1.7874) Prec@1 49.219 (59.350) Prec@5 73.438 (81.053) Epoch: [45][5420/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.9526 (1.7876) Prec@1 60.156 (59.346) Prec@5 75.781 (81.049) Epoch: [45][5430/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9510 (1.7876) Prec@1 60.156 (59.344) Prec@5 78.125 (81.046) Epoch: [45][5440/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.5315 (1.7877) Prec@1 64.062 (59.341) Prec@5 88.281 (81.046) Epoch: [45][5450/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.2334 (1.7877) Prec@1 53.125 (59.341) Prec@5 75.000 (81.045) Epoch: [45][5460/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.9046 (1.7876) Prec@1 60.938 (59.342) Prec@5 78.125 (81.046) Epoch: [45][5470/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0962 (1.7878) Prec@1 53.906 (59.339) Prec@5 75.000 (81.044) Epoch: [45][5480/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8298 (1.7877) Prec@1 55.469 (59.342) Prec@5 80.469 (81.046) Epoch: [45][5490/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.4885 (1.7877) Prec@1 63.281 (59.344) Prec@5 87.500 (81.045) Epoch: [45][5500/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7494 (1.7878) Prec@1 59.375 (59.341) Prec@5 83.594 (81.044) Epoch: [45][5510/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.6246 (1.7879) Prec@1 60.938 (59.341) Prec@5 85.156 (81.044) Epoch: [45][5520/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8862 (1.7878) Prec@1 53.125 (59.344) Prec@5 79.688 (81.045) Epoch: [45][5530/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.4423 (1.7877) Prec@1 66.406 (59.348) Prec@5 83.594 (81.047) Epoch: [45][5540/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8436 (1.7876) Prec@1 57.812 (59.351) Prec@5 78.125 (81.048) Epoch: [45][5550/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5977 (1.7875) Prec@1 60.938 (59.350) Prec@5 85.938 (81.051) Epoch: [45][5560/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6830 (1.7875) Prec@1 62.500 (59.351) Prec@5 85.156 (81.051) Epoch: [45][5570/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8650 (1.7875) Prec@1 60.156 (59.352) Prec@5 80.469 (81.051) Epoch: [45][5580/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8935 (1.7876) Prec@1 57.031 (59.347) Prec@5 80.469 (81.050) Epoch: [45][5590/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9001 (1.7880) Prec@1 55.469 (59.341) Prec@5 80.469 (81.044) Epoch: [45][5600/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8009 (1.7879) Prec@1 55.469 (59.342) Prec@5 83.594 (81.044) Epoch: [45][5610/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9606 (1.7881) Prec@1 56.250 (59.341) Prec@5 78.906 (81.041) Epoch: [45][5620/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5391 (1.7878) Prec@1 62.500 (59.345) Prec@5 84.375 (81.045) Epoch: [45][5630/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7503 (1.7877) Prec@1 56.250 (59.348) Prec@5 79.688 (81.046) Epoch: [45][5640/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.7189 (1.7876) Prec@1 57.031 (59.350) Prec@5 80.469 (81.048) Epoch: [45][5650/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9652 (1.7878) Prec@1 57.031 (59.345) Prec@5 78.125 (81.043) Epoch: [45][5660/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.8504 (1.7879) Prec@1 56.250 (59.345) Prec@5 78.906 (81.043) Epoch: [45][5670/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.5127 (1.7879) Prec@1 62.500 (59.346) Prec@5 87.500 (81.042) Epoch: [45][5680/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8918 (1.7880) Prec@1 58.594 (59.344) Prec@5 78.906 (81.041) Epoch: [45][5690/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 2.0829 (1.7882) Prec@1 52.344 (59.340) Prec@5 74.219 (81.036) Epoch: [45][5700/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 2.2237 (1.7882) Prec@1 47.656 (59.337) Prec@5 76.562 (81.037) Epoch: [45][5710/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8937 (1.7883) Prec@1 59.375 (59.336) Prec@5 75.781 (81.036) Epoch: [45][5720/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.5193 (1.7882) Prec@1 60.938 (59.338) Prec@5 85.938 (81.038) Epoch: [45][5730/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 2.0547 (1.7883) Prec@1 54.688 (59.333) Prec@5 73.438 (81.035) Epoch: [45][5740/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6314 (1.7883) Prec@1 61.719 (59.332) Prec@5 79.688 (81.035) Epoch: [45][5750/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6408 (1.7881) Prec@1 57.812 (59.332) Prec@5 86.719 (81.039) Epoch: [45][5760/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0039 (1.7882) Prec@1 58.594 (59.332) Prec@5 75.000 (81.037) Epoch: [45][5770/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8886 (1.7881) Prec@1 50.781 (59.332) Prec@5 81.250 (81.038) Epoch: [45][5780/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.5446 (1.7880) Prec@1 64.844 (59.333) Prec@5 84.375 (81.040) Epoch: [45][5790/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.8224 (1.7878) Prec@1 53.125 (59.335) Prec@5 78.125 (81.041) Epoch: [45][5800/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7768 (1.7878) Prec@1 55.469 (59.335) Prec@5 84.375 (81.043) Epoch: [45][5810/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.7974 (1.7877) Prec@1 57.031 (59.335) Prec@5 79.688 (81.043) Epoch: [45][5820/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.9772 (1.7877) Prec@1 60.938 (59.338) Prec@5 77.344 (81.044) Epoch: [45][5830/10010] Time 0.349 (0.331) Data 0.001 (0.001) Loss 1.4981 (1.7878) Prec@1 66.406 (59.337) Prec@5 85.156 (81.043) Epoch: [45][5840/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.4807 (1.7878) Prec@1 62.500 (59.334) Prec@5 85.938 (81.043) Epoch: [45][5850/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0249 (1.7879) Prec@1 57.031 (59.329) Prec@5 74.219 (81.043) Epoch: [45][5860/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0024 (1.7879) Prec@1 59.375 (59.329) Prec@5 77.344 (81.044) Epoch: [45][5870/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8667 (1.7880) Prec@1 60.156 (59.327) Prec@5 82.031 (81.044) Epoch: [45][5880/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 2.0518 (1.7880) Prec@1 53.906 (59.326) Prec@5 77.344 (81.044) Epoch: [45][5890/10010] Time 0.318 (0.331) Data 0.000 (0.001) Loss 1.6475 (1.7880) Prec@1 60.156 (59.326) Prec@5 82.031 (81.044) Epoch: [45][5900/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6125 (1.7879) Prec@1 64.844 (59.328) Prec@5 82.812 (81.043) Epoch: [45][5910/10010] Time 0.313 (0.331) Data 0.000 (0.001) Loss 1.7290 (1.7880) Prec@1 60.938 (59.329) Prec@5 84.375 (81.044) Epoch: [45][5920/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.6007 (1.7879) Prec@1 60.156 (59.329) Prec@5 80.469 (81.042) Epoch: [45][5930/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7544 (1.7881) Prec@1 60.156 (59.325) Prec@5 80.469 (81.040) Epoch: [45][5940/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6646 (1.7882) Prec@1 65.625 (59.323) Prec@5 85.156 (81.039) Epoch: [45][5950/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.0210 (1.7881) Prec@1 52.344 (59.324) Prec@5 76.562 (81.039) Epoch: [45][5960/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9450 (1.7881) Prec@1 52.344 (59.322) Prec@5 79.688 (81.041) Epoch: [45][5970/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9796 (1.7883) Prec@1 48.438 (59.320) Prec@5 82.031 (81.039) Epoch: [45][5980/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9290 (1.7884) Prec@1 55.469 (59.318) Prec@5 74.219 (81.036) Epoch: [45][5990/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7882 (1.7885) Prec@1 55.469 (59.316) Prec@5 81.250 (81.036) Epoch: [45][6000/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.4471 (1.7885) Prec@1 68.750 (59.318) Prec@5 85.156 (81.036) Epoch: [45][6010/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.6865 (1.7885) Prec@1 62.500 (59.322) Prec@5 83.594 (81.036) Epoch: [45][6020/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7722 (1.7884) Prec@1 60.156 (59.321) Prec@5 79.688 (81.037) Epoch: [45][6030/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6406 (1.7884) Prec@1 64.062 (59.322) Prec@5 81.250 (81.037) Epoch: [45][6040/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8805 (1.7884) Prec@1 57.812 (59.322) Prec@5 77.344 (81.036) Epoch: [45][6050/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.0238 (1.7886) Prec@1 52.344 (59.318) Prec@5 77.344 (81.032) Epoch: [45][6060/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.7539 (1.7885) Prec@1 63.281 (59.321) Prec@5 80.469 (81.034) Epoch: [45][6070/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.5333 (1.7884) Prec@1 66.406 (59.321) Prec@5 86.719 (81.032) Epoch: [45][6080/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.5591 (1.7884) Prec@1 63.281 (59.322) Prec@5 83.594 (81.033) Epoch: [45][6090/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 1.9014 (1.7882) Prec@1 55.469 (59.324) Prec@5 81.250 (81.036) Epoch: [45][6100/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7120 (1.7882) Prec@1 62.500 (59.325) Prec@5 80.469 (81.037) Epoch: [45][6110/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8719 (1.7883) Prec@1 63.281 (59.325) Prec@5 82.031 (81.035) Epoch: [45][6120/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5009 (1.7882) Prec@1 66.406 (59.326) Prec@5 82.031 (81.036) Epoch: [45][6130/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 2.0503 (1.7884) Prec@1 52.344 (59.322) Prec@5 78.125 (81.033) Epoch: [45][6140/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8163 (1.7883) Prec@1 55.469 (59.323) Prec@5 83.594 (81.034) Epoch: [45][6150/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9698 (1.7885) Prec@1 57.031 (59.324) Prec@5 78.125 (81.032) Epoch: [45][6160/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8849 (1.7886) Prec@1 61.719 (59.321) Prec@5 76.562 (81.030) Epoch: [45][6170/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.0546 (1.7888) Prec@1 59.375 (59.315) Prec@5 73.438 (81.027) Epoch: [45][6180/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.8498 (1.7887) Prec@1 53.125 (59.314) Prec@5 81.250 (81.029) Epoch: [45][6190/10010] Time 0.317 (0.331) Data 0.002 (0.001) Loss 1.8887 (1.7887) Prec@1 57.031 (59.314) Prec@5 76.562 (81.029) Epoch: [45][6200/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8958 (1.7887) Prec@1 60.156 (59.314) Prec@5 77.344 (81.029) Epoch: [45][6210/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0249 (1.7888) Prec@1 57.812 (59.314) Prec@5 78.125 (81.029) Epoch: [45][6220/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.8258 (1.7887) Prec@1 61.719 (59.315) Prec@5 80.469 (81.031) Epoch: [45][6230/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0589 (1.7887) Prec@1 55.469 (59.314) Prec@5 78.906 (81.031) Epoch: [45][6240/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.4758 (1.7887) Prec@1 67.188 (59.315) Prec@5 88.281 (81.032) Epoch: [45][6250/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 2.0346 (1.7886) Prec@1 53.125 (59.314) Prec@5 75.781 (81.033) Epoch: [45][6260/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8552 (1.7886) Prec@1 56.250 (59.313) Prec@5 78.125 (81.035) Epoch: [45][6270/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7625 (1.7886) Prec@1 57.031 (59.313) Prec@5 82.031 (81.034) Epoch: [45][6280/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5581 (1.7887) Prec@1 67.188 (59.310) Prec@5 84.375 (81.031) Epoch: [45][6290/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9243 (1.7887) Prec@1 57.812 (59.312) Prec@5 78.906 (81.032) Epoch: [45][6300/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 1.7237 (1.7886) Prec@1 60.938 (59.313) Prec@5 82.812 (81.032) Epoch: [45][6310/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9651 (1.7888) Prec@1 56.250 (59.311) Prec@5 79.688 (81.030) Epoch: [45][6320/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 2.1559 (1.7888) Prec@1 54.688 (59.312) Prec@5 73.438 (81.029) Epoch: [45][6330/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6513 (1.7888) Prec@1 62.500 (59.310) Prec@5 84.375 (81.030) Epoch: [45][6340/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.9267 (1.7888) Prec@1 57.031 (59.311) Prec@5 78.125 (81.030) Epoch: [45][6350/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7231 (1.7888) Prec@1 59.375 (59.311) Prec@5 82.812 (81.029) Epoch: [45][6360/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 2.0018 (1.7888) Prec@1 51.562 (59.312) Prec@5 81.250 (81.027) Epoch: [45][6370/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9165 (1.7888) Prec@1 51.562 (59.310) Prec@5 79.688 (81.028) Epoch: [45][6380/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7292 (1.7889) Prec@1 60.156 (59.312) Prec@5 84.375 (81.027) Epoch: [45][6390/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8031 (1.7888) Prec@1 57.812 (59.313) Prec@5 80.469 (81.028) Epoch: [45][6400/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7926 (1.7888) Prec@1 54.688 (59.314) Prec@5 83.594 (81.028) Epoch: [45][6410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7813 (1.7889) Prec@1 59.375 (59.312) Prec@5 81.250 (81.027) Epoch: [45][6420/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 2.2809 (1.7891) Prec@1 50.781 (59.308) Prec@5 73.438 (81.026) Epoch: [45][6430/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.8753 (1.7890) Prec@1 57.031 (59.310) Prec@5 81.250 (81.026) Epoch: [45][6440/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.9703 (1.7891) Prec@1 59.375 (59.308) Prec@5 77.344 (81.026) Epoch: [45][6450/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9370 (1.7892) Prec@1 56.250 (59.305) Prec@5 78.906 (81.023) Epoch: [45][6460/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7685 (1.7893) Prec@1 57.812 (59.304) Prec@5 83.594 (81.023) Epoch: [45][6470/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7992 (1.7893) Prec@1 57.812 (59.303) Prec@5 81.250 (81.024) Epoch: [45][6480/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7485 (1.7895) Prec@1 60.156 (59.301) Prec@5 85.938 (81.022) Epoch: [45][6490/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.9832 (1.7895) Prec@1 55.469 (59.302) Prec@5 83.594 (81.020) Epoch: [45][6500/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6655 (1.7895) Prec@1 60.938 (59.299) Prec@5 84.375 (81.021) Epoch: [45][6510/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7953 (1.7895) Prec@1 57.812 (59.299) Prec@5 83.594 (81.022) Epoch: [45][6520/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.5651 (1.7895) Prec@1 60.156 (59.299) Prec@5 85.156 (81.024) Epoch: [45][6530/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8152 (1.7897) Prec@1 54.688 (59.294) Prec@5 78.125 (81.018) Epoch: [45][6540/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6131 (1.7896) Prec@1 60.938 (59.295) Prec@5 85.156 (81.019) Epoch: [45][6550/10010] Time 0.332 (0.331) Data 0.000 (0.001) Loss 2.1446 (1.7897) Prec@1 53.125 (59.294) Prec@5 76.562 (81.020) Epoch: [45][6560/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5033 (1.7896) Prec@1 67.188 (59.295) Prec@5 84.375 (81.022) Epoch: [45][6570/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.8121 (1.7896) Prec@1 56.250 (59.295) Prec@5 82.812 (81.021) Epoch: [45][6580/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5175 (1.7896) Prec@1 60.156 (59.294) Prec@5 85.938 (81.022) Epoch: [45][6590/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7633 (1.7897) Prec@1 56.250 (59.293) Prec@5 78.125 (81.019) Epoch: [45][6600/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.7171 (1.7897) Prec@1 60.938 (59.294) Prec@5 79.688 (81.021) Epoch: [45][6610/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.4939 (1.7896) Prec@1 67.188 (59.292) Prec@5 82.031 (81.021) Epoch: [45][6620/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7705 (1.7896) Prec@1 57.812 (59.291) Prec@5 79.688 (81.023) Epoch: [45][6630/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.7013 (1.7894) Prec@1 58.594 (59.293) Prec@5 82.031 (81.025) Epoch: [45][6640/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7171 (1.7894) Prec@1 60.156 (59.294) Prec@5 79.688 (81.024) Epoch: [45][6650/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7722 (1.7895) Prec@1 61.719 (59.292) Prec@5 83.594 (81.024) Epoch: [45][6660/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9970 (1.7895) Prec@1 55.469 (59.293) Prec@5 77.344 (81.022) Epoch: [45][6670/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.3517 (1.7895) Prec@1 71.875 (59.293) Prec@5 85.156 (81.022) Epoch: [45][6680/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.7750 (1.7894) Prec@1 55.469 (59.291) Prec@5 81.250 (81.023) Epoch: [45][6690/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8733 (1.7894) Prec@1 64.062 (59.294) Prec@5 80.469 (81.023) Epoch: [45][6700/10010] Time 0.337 (0.331) Data 0.002 (0.001) Loss 1.6723 (1.7896) Prec@1 64.062 (59.292) Prec@5 84.375 (81.020) Epoch: [45][6710/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.0184 (1.7895) Prec@1 52.344 (59.293) Prec@5 76.562 (81.020) Epoch: [45][6720/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7227 (1.7895) Prec@1 60.156 (59.294) Prec@5 81.250 (81.020) Epoch: [45][6730/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.9596 (1.7898) Prec@1 59.375 (59.292) Prec@5 77.344 (81.015) Epoch: [45][6740/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5859 (1.7897) Prec@1 60.156 (59.291) Prec@5 86.719 (81.015) Epoch: [45][6750/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.5164 (1.7895) Prec@1 64.062 (59.293) Prec@5 84.375 (81.018) Epoch: [45][6760/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9495 (1.7896) Prec@1 53.906 (59.289) Prec@5 78.906 (81.015) Epoch: [45][6770/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9200 (1.7897) Prec@1 59.375 (59.291) Prec@5 82.812 (81.015) Epoch: [45][6780/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8013 (1.7898) Prec@1 57.031 (59.288) Prec@5 81.250 (81.014) Epoch: [45][6790/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.8986 (1.7899) Prec@1 56.250 (59.283) Prec@5 78.906 (81.013) Epoch: [45][6800/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7999 (1.7899) Prec@1 64.844 (59.283) Prec@5 82.812 (81.013) Epoch: [45][6810/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 2.0434 (1.7900) Prec@1 52.344 (59.277) Prec@5 79.688 (81.012) Epoch: [45][6820/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7126 (1.7900) Prec@1 62.500 (59.280) Prec@5 86.719 (81.012) Epoch: [45][6830/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.1231 (1.7901) Prec@1 54.688 (59.279) Prec@5 79.688 (81.011) Epoch: [45][6840/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9828 (1.7901) Prec@1 57.031 (59.280) Prec@5 75.781 (81.012) Epoch: [45][6850/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.4771 (1.7903) Prec@1 47.656 (59.277) Prec@5 69.531 (81.009) Epoch: [45][6860/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5145 (1.7902) Prec@1 63.281 (59.277) Prec@5 84.375 (81.012) Epoch: [45][6870/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0589 (1.7902) Prec@1 48.438 (59.276) Prec@5 78.906 (81.013) Epoch: [45][6880/10010] Time 0.314 (0.331) Data 0.001 (0.001) Loss 1.9838 (1.7901) Prec@1 57.812 (59.277) Prec@5 74.219 (81.014) Epoch: [45][6890/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.9068 (1.7902) Prec@1 55.469 (59.274) Prec@5 79.688 (81.013) Epoch: [45][6900/10010] Time 0.351 (0.331) Data 0.000 (0.001) Loss 1.6995 (1.7901) Prec@1 62.500 (59.275) Prec@5 79.688 (81.013) Epoch: [45][6910/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.9452 (1.7902) Prec@1 56.250 (59.276) Prec@5 79.688 (81.013) Epoch: [45][6920/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.0270 (1.7901) Prec@1 56.250 (59.277) Prec@5 75.781 (81.013) Epoch: [45][6930/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7935 (1.7901) Prec@1 57.812 (59.276) Prec@5 80.469 (81.012) Epoch: [45][6940/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8933 (1.7902) Prec@1 58.594 (59.278) Prec@5 81.250 (81.012) Epoch: [45][6950/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.9442 (1.7902) Prec@1 60.938 (59.276) Prec@5 77.344 (81.012) Epoch: [45][6960/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7151 (1.7902) Prec@1 63.281 (59.276) Prec@5 82.031 (81.011) Epoch: [45][6970/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9748 (1.7903) Prec@1 58.594 (59.274) Prec@5 78.906 (81.010) Epoch: [45][6980/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.8672 (1.7902) Prec@1 58.594 (59.276) Prec@5 80.469 (81.012) Epoch: [45][6990/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7480 (1.7902) Prec@1 58.594 (59.277) Prec@5 77.344 (81.011) Epoch: [45][7000/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.6626 (1.7902) Prec@1 61.719 (59.276) Prec@5 83.594 (81.010) Epoch: [45][7010/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.7983 (1.7904) Prec@1 56.250 (59.272) Prec@5 81.250 (81.009) Epoch: [45][7020/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 2.1144 (1.7906) Prec@1 52.344 (59.267) Prec@5 78.125 (81.007) Epoch: [45][7030/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.8520 (1.7906) Prec@1 57.812 (59.264) Prec@5 78.125 (81.005) Epoch: [45][7040/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.9280 (1.7908) Prec@1 57.031 (59.260) Prec@5 78.125 (81.004) Epoch: [45][7050/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0071 (1.7909) Prec@1 56.250 (59.257) Prec@5 76.562 (81.001) Epoch: [45][7060/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6868 (1.7909) Prec@1 64.062 (59.258) Prec@5 82.031 (81.001) Epoch: [45][7070/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6872 (1.7910) Prec@1 61.719 (59.259) Prec@5 85.156 (81.001) Epoch: [45][7080/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6573 (1.7910) Prec@1 62.500 (59.256) Prec@5 85.156 (81.000) Epoch: [45][7090/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6330 (1.7910) Prec@1 62.500 (59.255) Prec@5 84.375 (81.001) Epoch: [45][7100/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.9178 (1.7910) Prec@1 56.250 (59.252) Prec@5 78.906 (81.002) Epoch: [45][7110/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9622 (1.7912) Prec@1 48.438 (59.251) Prec@5 81.250 (81.000) Epoch: [45][7120/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6448 (1.7912) Prec@1 60.938 (59.250) Prec@5 83.594 (81.000) Epoch: [45][7130/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.9720 (1.7912) Prec@1 57.812 (59.249) Prec@5 78.125 (81.000) Epoch: [45][7140/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 2.2624 (1.7914) Prec@1 55.469 (59.246) Prec@5 75.781 (80.997) Epoch: [45][7150/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 1.7546 (1.7915) Prec@1 56.250 (59.244) Prec@5 83.594 (80.995) /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][7160/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.6754 (1.7915) Prec@1 60.938 (59.243) Prec@5 80.469 (80.995) Epoch: [45][7170/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7429 (1.7914) Prec@1 60.156 (59.243) Prec@5 81.250 (80.996) Epoch: [45][7180/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.9115 (1.7915) Prec@1 62.500 (59.242) Prec@5 76.562 (80.995) Epoch: [45][7190/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.8420 (1.7915) Prec@1 50.781 (59.240) Prec@5 82.812 (80.994) Epoch: [45][7200/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7047 (1.7915) Prec@1 64.844 (59.240) Prec@5 84.375 (80.995) Epoch: [45][7210/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 1.5623 (1.7915) Prec@1 64.062 (59.240) Prec@5 82.031 (80.996) Epoch: [45][7220/10010] Time 0.311 (0.331) Data 0.001 (0.001) Loss 2.0601 (1.7914) Prec@1 54.688 (59.241) Prec@5 77.344 (80.998) Epoch: [45][7230/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8882 (1.7914) Prec@1 57.812 (59.241) Prec@5 81.250 (80.999) Epoch: [45][7240/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.4889 (1.7914) Prec@1 63.281 (59.241) Prec@5 87.500 (81.000) Epoch: [45][7250/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0560 (1.7913) Prec@1 54.688 (59.243) Prec@5 74.219 (81.001) Epoch: [45][7260/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6159 (1.7913) Prec@1 56.250 (59.242) Prec@5 86.719 (81.003) Epoch: [45][7270/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.9702 (1.7913) Prec@1 57.031 (59.243) Prec@5 78.125 (81.004) Epoch: [45][7280/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6275 (1.7912) Prec@1 60.938 (59.243) Prec@5 84.375 (81.004) Epoch: [45][7290/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9889 (1.7912) Prec@1 56.250 (59.245) Prec@5 77.344 (81.005) Epoch: [45][7300/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 2.2159 (1.7913) Prec@1 50.781 (59.243) Prec@5 76.562 (81.003) Epoch: [45][7310/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9938 (1.7914) Prec@1 54.688 (59.240) Prec@5 75.000 (81.000) Epoch: [45][7320/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.6764 (1.7915) Prec@1 64.844 (59.238) Prec@5 82.812 (80.998) Epoch: [45][7330/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0313 (1.7915) Prec@1 59.375 (59.237) Prec@5 78.125 (80.998) Epoch: [45][7340/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.5873 (1.7915) Prec@1 63.281 (59.235) Prec@5 83.594 (80.997) Epoch: [45][7350/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.6882 (1.7915) Prec@1 60.156 (59.237) Prec@5 85.156 (80.997) Epoch: [45][7360/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 2.0612 (1.7916) Prec@1 51.562 (59.234) Prec@5 73.438 (80.996) Epoch: [45][7370/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7222 (1.7917) Prec@1 65.625 (59.234) Prec@5 79.688 (80.994) Epoch: [45][7380/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.8022 (1.7916) Prec@1 60.938 (59.235) Prec@5 85.156 (80.994) Epoch: [45][7390/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9691 (1.7916) Prec@1 53.906 (59.236) Prec@5 78.906 (80.994) Epoch: [45][7400/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9448 (1.7915) Prec@1 59.375 (59.238) Prec@5 77.344 (80.996) Epoch: [45][7410/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.6191 (1.7914) Prec@1 59.375 (59.236) Prec@5 84.375 (80.996) Epoch: [45][7420/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9190 (1.7915) Prec@1 53.906 (59.236) Prec@5 81.250 (80.995) Epoch: [45][7430/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8983 (1.7915) Prec@1 57.031 (59.236) Prec@5 79.688 (80.994) Epoch: [45][7440/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8087 (1.7916) Prec@1 60.156 (59.235) Prec@5 82.031 (80.994) Epoch: [45][7450/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 2.1102 (1.7916) Prec@1 52.344 (59.236) Prec@5 77.344 (80.994) Epoch: [45][7460/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.8168 (1.7917) Prec@1 60.156 (59.234) Prec@5 78.906 (80.993) Epoch: [45][7470/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.6787 (1.7917) Prec@1 65.625 (59.232) Prec@5 82.031 (80.992) Epoch: [45][7480/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7357 (1.7917) Prec@1 63.281 (59.236) Prec@5 82.812 (80.992) Epoch: [45][7490/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.6020 (1.7917) Prec@1 63.281 (59.235) Prec@5 82.812 (80.992) Epoch: [45][7500/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.5905 (1.7917) Prec@1 65.625 (59.238) Prec@5 81.250 (80.993) Epoch: [45][7510/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.8097 (1.7918) Prec@1 54.688 (59.235) Prec@5 80.469 (80.992) Epoch: [45][7520/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7197 (1.7918) Prec@1 60.156 (59.233) Prec@5 80.469 (80.990) Epoch: [45][7530/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.5866 (1.7919) Prec@1 60.938 (59.230) Prec@5 84.375 (80.988) Epoch: [45][7540/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.8270 (1.7919) Prec@1 59.375 (59.229) Prec@5 82.031 (80.988) Epoch: [45][7550/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9067 (1.7919) Prec@1 57.031 (59.228) Prec@5 82.812 (80.986) Epoch: [45][7560/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.8230 (1.7920) Prec@1 57.031 (59.226) Prec@5 81.250 (80.985) Epoch: [45][7570/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8167 (1.7919) Prec@1 56.250 (59.226) Prec@5 82.031 (80.986) Epoch: [45][7580/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7804 (1.7920) Prec@1 57.812 (59.228) Prec@5 83.594 (80.985) Epoch: [45][7590/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9111 (1.7921) Prec@1 53.906 (59.225) Prec@5 82.031 (80.984) Epoch: [45][7600/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8595 (1.7921) Prec@1 54.688 (59.227) Prec@5 77.344 (80.983) Epoch: [45][7610/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9102 (1.7921) Prec@1 55.469 (59.226) Prec@5 79.688 (80.981) Epoch: [45][7620/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.9374 (1.7921) Prec@1 55.469 (59.227) Prec@5 81.250 (80.981) Epoch: [45][7630/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8255 (1.7922) Prec@1 57.031 (59.225) Prec@5 83.594 (80.980) Epoch: [45][7640/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.4656 (1.7921) Prec@1 63.281 (59.226) Prec@5 85.938 (80.982) Epoch: [45][7650/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 2.0003 (1.7921) Prec@1 54.688 (59.225) Prec@5 78.906 (80.982) Epoch: [45][7660/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.6856 (1.7921) Prec@1 60.156 (59.224) Prec@5 82.812 (80.985) Epoch: [45][7670/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9371 (1.7920) Prec@1 63.281 (59.227) Prec@5 81.250 (80.986) Epoch: [45][7680/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.9798 (1.7921) Prec@1 57.031 (59.226) Prec@5 76.562 (80.984) Epoch: [45][7690/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.6732 (1.7920) Prec@1 60.938 (59.228) Prec@5 82.812 (80.985) Epoch: [45][7700/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.9201 (1.7920) Prec@1 51.562 (59.226) Prec@5 78.906 (80.984) Epoch: [45][7710/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.7106 (1.7921) Prec@1 54.688 (59.225) Prec@5 80.469 (80.982) /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][7720/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8413 (1.7921) Prec@1 55.469 (59.224) Prec@5 80.469 (80.981) Epoch: [45][7730/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.6347 (1.7921) Prec@1 60.156 (59.225) Prec@5 85.938 (80.982) Epoch: [45][7740/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7321 (1.7919) Prec@1 62.500 (59.230) Prec@5 78.125 (80.985) Epoch: [45][7750/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9282 (1.7919) Prec@1 54.688 (59.229) Prec@5 78.125 (80.982) Epoch: [45][7760/10010] Time 0.321 (0.331) Data 0.000 (0.001) Loss 1.8448 (1.7920) Prec@1 63.281 (59.228) Prec@5 78.125 (80.980) Epoch: [45][7770/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.6243 (1.7920) Prec@1 60.938 (59.227) Prec@5 81.250 (80.981) Epoch: [45][7780/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8679 (1.7921) Prec@1 58.594 (59.226) Prec@5 79.688 (80.982) Epoch: [45][7790/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0684 (1.7922) Prec@1 54.688 (59.223) Prec@5 72.656 (80.980) Epoch: [45][7800/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.7037 (1.7921) Prec@1 59.375 (59.223) Prec@5 85.156 (80.980) Epoch: [45][7810/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2065 (1.7923) Prec@1 52.344 (59.221) Prec@5 74.219 (80.979) Epoch: [45][7820/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.7687 (1.7924) Prec@1 58.594 (59.217) Prec@5 78.906 (80.978) Epoch: [45][7830/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7936 (1.7925) Prec@1 57.812 (59.216) Prec@5 79.688 (80.977) Epoch: [45][7840/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5857 (1.7925) Prec@1 59.375 (59.215) Prec@5 85.156 (80.976) Epoch: [45][7850/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8237 (1.7925) Prec@1 59.375 (59.213) Prec@5 80.469 (80.976) Epoch: [45][7860/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.7911 (1.7926) Prec@1 58.594 (59.214) Prec@5 78.906 (80.975) Epoch: [45][7870/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 2.3531 (1.7926) Prec@1 51.562 (59.212) Prec@5 73.438 (80.975) Epoch: [45][7880/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7782 (1.7928) Prec@1 59.375 (59.209) Prec@5 82.812 (80.973) Epoch: [45][7890/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 2.0217 (1.7929) Prec@1 55.469 (59.207) Prec@5 78.125 (80.971) Epoch: [45][7900/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.9560 (1.7929) Prec@1 53.906 (59.207) Prec@5 81.250 (80.972) Epoch: [45][7910/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.5677 (1.7929) Prec@1 64.062 (59.208) Prec@5 86.719 (80.973) Epoch: [45][7920/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8875 (1.7930) Prec@1 59.375 (59.205) Prec@5 78.125 (80.970) Epoch: [45][7930/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 2.2357 (1.7930) Prec@1 50.781 (59.204) Prec@5 74.219 (80.970) Epoch: [45][7940/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.9785 (1.7930) Prec@1 58.594 (59.203) Prec@5 75.000 (80.970) Epoch: [45][7950/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.9631 (1.7930) Prec@1 61.719 (59.204) Prec@5 78.906 (80.969) Epoch: [45][7960/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.8318 (1.7931) Prec@1 58.594 (59.203) Prec@5 78.125 (80.968) Epoch: [45][7970/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7311 (1.7931) Prec@1 58.594 (59.205) Prec@5 85.156 (80.970) Epoch: [45][7980/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.4693 (1.7930) Prec@1 63.281 (59.204) Prec@5 84.375 (80.970) Epoch: [45][7990/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.8954 (1.7932) Prec@1 56.250 (59.202) Prec@5 79.688 (80.969) Epoch: [45][8000/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8087 (1.7932) Prec@1 60.156 (59.203) Prec@5 80.469 (80.968) Epoch: [45][8010/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 1.6136 (1.7933) Prec@1 64.062 (59.202) Prec@5 84.375 (80.968) Epoch: [45][8020/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.7739 (1.7933) Prec@1 56.250 (59.202) Prec@5 81.250 (80.965) Epoch: [45][8030/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.8410 (1.7933) Prec@1 58.594 (59.202) Prec@5 78.906 (80.964) Epoch: [45][8040/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.7421 (1.7933) Prec@1 59.375 (59.201) Prec@5 79.688 (80.964) Epoch: [45][8050/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7652 (1.7933) Prec@1 60.938 (59.202) Prec@5 80.469 (80.965) Epoch: [45][8060/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.6960 (1.7932) Prec@1 60.156 (59.206) Prec@5 81.250 (80.965) Epoch: [45][8070/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.0383 (1.7934) Prec@1 50.000 (59.202) Prec@5 78.125 (80.963) Epoch: [45][8080/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.9559 (1.7934) Prec@1 53.906 (59.202) Prec@5 78.906 (80.963) Epoch: [45][8090/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.6300 (1.7933) Prec@1 58.594 (59.202) Prec@5 86.719 (80.964) Epoch: [45][8100/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.6879 (1.7933) Prec@1 65.625 (59.202) Prec@5 83.594 (80.963) Epoch: [45][8110/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 2.0064 (1.7934) Prec@1 50.781 (59.202) Prec@5 78.906 (80.962) Epoch: [45][8120/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.8499 (1.7935) Prec@1 54.688 (59.200) Prec@5 78.125 (80.959) Epoch: [45][8130/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9583 (1.7934) Prec@1 52.344 (59.203) Prec@5 77.344 (80.961) Epoch: [45][8140/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.8790 (1.7933) Prec@1 60.938 (59.205) Prec@5 81.250 (80.961) Epoch: [45][8150/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8639 (1.7934) Prec@1 57.031 (59.204) Prec@5 75.000 (80.960) Epoch: [45][8160/10010] Time 0.318 (0.331) Data 0.001 (0.001) Loss 1.6806 (1.7934) Prec@1 57.031 (59.201) Prec@5 85.156 (80.959) Epoch: [45][8170/10010] Time 0.331 (0.331) Data 0.000 (0.001) Loss 1.7171 (1.7935) Prec@1 60.938 (59.201) Prec@5 79.688 (80.959) Epoch: [45][8180/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.6779 (1.7935) Prec@1 62.500 (59.201) Prec@5 82.031 (80.959) Epoch: [45][8190/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.7068 (1.7935) Prec@1 62.500 (59.200) Prec@5 82.812 (80.959) Epoch: [45][8200/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.5994 (1.7935) Prec@1 61.719 (59.200) Prec@5 84.375 (80.960) Epoch: [45][8210/10010] Time 0.316 (0.331) Data 0.001 (0.001) Loss 1.6471 (1.7936) Prec@1 65.625 (59.199) Prec@5 83.594 (80.959) Epoch: [45][8220/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0670 (1.7936) Prec@1 54.688 (59.196) Prec@5 75.781 (80.958) Epoch: [45][8230/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.5727 (1.7936) Prec@1 60.156 (59.195) Prec@5 87.500 (80.959) Epoch: [45][8240/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.8373 (1.7936) Prec@1 60.938 (59.196) Prec@5 78.125 (80.958) Epoch: [45][8250/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5311 (1.7936) Prec@1 67.969 (59.198) Prec@5 85.938 (80.959) Epoch: [45][8260/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.6110 (1.7934) Prec@1 62.500 (59.201) Prec@5 81.250 (80.961) Epoch: [45][8270/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.5378 (1.7935) Prec@1 65.625 (59.201) Prec@5 85.156 (80.958) Epoch: [45][8280/10010] Time 0.315 (0.331) Data 0.000 (0.001) Loss 2.1095 (1.7936) Prec@1 55.469 (59.199) Prec@5 75.781 (80.958) Epoch: [45][8290/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.3965 (1.7935) Prec@1 61.719 (59.198) Prec@5 92.188 (80.960) Epoch: [45][8300/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.7701 (1.7935) Prec@1 56.250 (59.199) Prec@5 82.031 (80.961) Epoch: [45][8310/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.8576 (1.7935) Prec@1 58.594 (59.199) Prec@5 77.344 (80.959) Epoch: [45][8320/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.8107 (1.7935) Prec@1 57.031 (59.198) Prec@5 79.688 (80.961) Epoch: [45][8330/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8071 (1.7936) Prec@1 61.719 (59.196) Prec@5 78.125 (80.960) Epoch: [45][8340/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.5859 (1.7937) Prec@1 61.719 (59.195) Prec@5 83.594 (80.960) Epoch: [45][8350/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7850 (1.7936) Prec@1 53.906 (59.195) Prec@5 81.250 (80.960) Epoch: [45][8360/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.5993 (1.7935) Prec@1 67.969 (59.196) Prec@5 82.031 (80.960) Epoch: [45][8370/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.8915 (1.7935) Prec@1 56.250 (59.195) Prec@5 80.469 (80.960) Epoch: [45][8380/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.6456 (1.7935) Prec@1 64.844 (59.196) Prec@5 78.906 (80.959) Epoch: [45][8390/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 2.1830 (1.7937) Prec@1 52.344 (59.194) Prec@5 73.438 (80.955) Epoch: [45][8400/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.7035 (1.7937) Prec@1 57.812 (59.192) Prec@5 82.031 (80.954) Epoch: [45][8410/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7938 (1.7937) Prec@1 53.906 (59.191) Prec@5 82.812 (80.954) Epoch: [45][8420/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8171 (1.7937) Prec@1 61.719 (59.190) Prec@5 83.594 (80.953) Epoch: [45][8430/10010] Time 0.320 (0.331) Data 0.000 (0.001) Loss 1.9888 (1.7938) Prec@1 57.812 (59.187) Prec@5 78.906 (80.955) Epoch: [45][8440/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7694 (1.7938) Prec@1 60.156 (59.188) Prec@5 83.594 (80.954) Epoch: [45][8450/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7777 (1.7939) Prec@1 59.375 (59.187) Prec@5 79.688 (80.953) Epoch: [45][8460/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8977 (1.7938) Prec@1 60.938 (59.188) Prec@5 82.031 (80.955) Epoch: [45][8470/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8155 (1.7938) Prec@1 57.031 (59.188) Prec@5 79.688 (80.955) /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][8480/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.3658 (1.7937) Prec@1 68.750 (59.190) Prec@5 85.938 (80.955) Epoch: [45][8490/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8569 (1.7938) Prec@1 57.812 (59.187) Prec@5 81.250 (80.954) Epoch: [45][8500/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.5991 (1.7938) Prec@1 61.719 (59.186) Prec@5 82.031 (80.953) Epoch: [45][8510/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 2.0861 (1.7939) Prec@1 57.812 (59.184) Prec@5 78.125 (80.952) Epoch: [45][8520/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7102 (1.7939) Prec@1 60.156 (59.184) Prec@5 84.375 (80.952) Epoch: [45][8530/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.4230 (1.7938) Prec@1 62.500 (59.187) Prec@5 85.938 (80.952) Epoch: [45][8540/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.7985 (1.7938) Prec@1 57.031 (59.187) Prec@5 82.031 (80.953) Epoch: [45][8550/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9840 (1.7939) Prec@1 55.469 (59.184) Prec@5 81.250 (80.952) Epoch: [45][8560/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.9719 (1.7940) Prec@1 59.375 (59.182) Prec@5 77.344 (80.953) Epoch: [45][8570/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6436 (1.7939) Prec@1 57.812 (59.183) Prec@5 84.375 (80.953) Epoch: [45][8580/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.8366 (1.7940) Prec@1 56.250 (59.183) Prec@5 80.469 (80.952) Epoch: [45][8590/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8443 (1.7941) Prec@1 61.719 (59.181) Prec@5 81.250 (80.950) Epoch: [45][8600/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.8072 (1.7941) Prec@1 57.812 (59.177) Prec@5 77.344 (80.950) Epoch: [45][8610/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.7931 (1.7941) Prec@1 60.938 (59.176) Prec@5 82.031 (80.949) Epoch: [45][8620/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7972 (1.7942) Prec@1 59.375 (59.175) Prec@5 79.688 (80.948) Epoch: [45][8630/10010] Time 0.319 (0.331) Data 0.001 (0.001) Loss 1.5478 (1.7941) Prec@1 60.156 (59.176) Prec@5 86.719 (80.951) Epoch: [45][8640/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7820 (1.7940) Prec@1 62.500 (59.177) Prec@5 81.250 (80.951) Epoch: [45][8650/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9014 (1.7941) Prec@1 57.812 (59.176) Prec@5 81.250 (80.951) Epoch: [45][8660/10010] Time 0.341 (0.331) Data 0.001 (0.001) Loss 1.8510 (1.7941) Prec@1 62.500 (59.175) Prec@5 79.688 (80.950) Epoch: [45][8670/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.7513 (1.7941) Prec@1 61.719 (59.176) Prec@5 81.250 (80.949) Epoch: [45][8680/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 1.8788 (1.7940) Prec@1 57.812 (59.177) Prec@5 79.688 (80.950) Epoch: [45][8690/10010] Time 0.312 (0.331) Data 0.001 (0.001) Loss 1.5957 (1.7939) Prec@1 63.281 (59.179) Prec@5 86.719 (80.953) Epoch: [45][8700/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.7216 (1.7940) Prec@1 57.812 (59.176) Prec@5 82.812 (80.951) Epoch: [45][8710/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.8031 (1.7939) Prec@1 60.156 (59.178) Prec@5 82.812 (80.951) Epoch: [45][8720/10010] Time 0.345 (0.331) Data 0.000 (0.001) Loss 1.6388 (1.7940) Prec@1 62.500 (59.176) Prec@5 83.594 (80.950) Epoch: [45][8730/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.9718 (1.7942) Prec@1 60.156 (59.174) Prec@5 75.781 (80.949) Epoch: [45][8740/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7467 (1.7942) Prec@1 65.625 (59.174) Prec@5 78.906 (80.950) Epoch: [45][8750/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.7056 (1.7942) Prec@1 64.062 (59.172) Prec@5 79.688 (80.950) Epoch: [45][8760/10010] Time 0.347 (0.331) Data 0.001 (0.001) Loss 1.5968 (1.7942) Prec@1 60.156 (59.171) Prec@5 82.812 (80.951) Epoch: [45][8770/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7364 (1.7941) Prec@1 52.344 (59.170) Prec@5 81.250 (80.951) Epoch: [45][8780/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.7943 (1.7943) Prec@1 56.250 (59.166) Prec@5 82.031 (80.948) Epoch: [45][8790/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 2.0987 (1.7943) Prec@1 54.688 (59.167) Prec@5 75.781 (80.948) Epoch: [45][8800/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 2.1932 (1.7944) Prec@1 53.125 (59.165) Prec@5 76.562 (80.947) Epoch: [45][8810/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.8749 (1.7943) Prec@1 59.375 (59.168) Prec@5 80.469 (80.948) Epoch: [45][8820/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8551 (1.7944) Prec@1 54.688 (59.164) Prec@5 79.688 (80.947) Epoch: [45][8830/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9689 (1.7945) Prec@1 52.344 (59.163) Prec@5 76.562 (80.945) Epoch: [45][8840/10010] Time 0.314 (0.331) Data 0.000 (0.001) Loss 1.7792 (1.7944) Prec@1 62.500 (59.165) Prec@5 78.906 (80.947) Epoch: [45][8850/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.7302 (1.7945) Prec@1 63.281 (59.166) Prec@5 82.031 (80.945) Epoch: [45][8860/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 2.2736 (1.7946) Prec@1 51.562 (59.163) Prec@5 69.531 (80.943) Epoch: [45][8870/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.3287 (1.7945) Prec@1 67.188 (59.165) Prec@5 89.062 (80.944) Epoch: [45][8880/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 2.0646 (1.7946) Prec@1 55.469 (59.164) Prec@5 78.125 (80.944) Epoch: [45][8890/10010] Time 0.348 (0.331) Data 0.000 (0.001) Loss 2.0937 (1.7946) Prec@1 52.344 (59.164) Prec@5 78.125 (80.943) Epoch: [45][8900/10010] Time 0.322 (0.331) Data 0.000 (0.001) Loss 1.9289 (1.7947) Prec@1 57.031 (59.163) Prec@5 76.562 (80.941) Epoch: [45][8910/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.7620 (1.7949) Prec@1 58.594 (59.161) Prec@5 82.812 (80.940) Epoch: [45][8920/10010] Time 0.326 (0.331) Data 0.000 (0.001) Loss 2.0161 (1.7949) Prec@1 54.688 (59.161) Prec@5 78.906 (80.939) Epoch: [45][8930/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.5053 (1.7949) Prec@1 65.625 (59.160) Prec@5 85.938 (80.940) Epoch: [45][8940/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 2.0274 (1.7949) Prec@1 57.812 (59.159) Prec@5 75.781 (80.940) Epoch: [45][8950/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 2.0177 (1.7950) Prec@1 52.344 (59.157) Prec@5 72.656 (80.937) Epoch: [45][8960/10010] Time 0.336 (0.331) Data 0.000 (0.001) Loss 1.8766 (1.7951) Prec@1 65.625 (59.156) Prec@5 78.906 (80.937) Epoch: [45][8970/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8544 (1.7950) Prec@1 56.250 (59.154) Prec@5 78.906 (80.937) Epoch: [45][8980/10010] Time 0.328 (0.331) Data 0.000 (0.001) Loss 1.8423 (1.7951) Prec@1 56.250 (59.155) Prec@5 81.250 (80.936) Epoch: [45][8990/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9510 (1.7951) Prec@1 57.031 (59.155) Prec@5 78.906 (80.936) Epoch: [45][9000/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6954 (1.7950) Prec@1 54.688 (59.156) Prec@5 79.688 (80.936) Epoch: [45][9010/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.4476 (1.7950) Prec@1 71.875 (59.156) Prec@5 86.719 (80.936) Epoch: [45][9020/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7816 (1.7949) Prec@1 59.375 (59.158) Prec@5 82.031 (80.938) Epoch: [45][9030/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.9325 (1.7951) Prec@1 56.250 (59.154) Prec@5 77.344 (80.935) Epoch: [45][9040/10010] Time 0.333 (0.331) Data 0.001 (0.001) Loss 1.7820 (1.7951) Prec@1 57.812 (59.155) Prec@5 80.469 (80.935) Epoch: [45][9050/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7565 (1.7951) Prec@1 59.375 (59.154) Prec@5 78.125 (80.934) Epoch: [45][9060/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.5653 (1.7951) Prec@1 60.938 (59.154) Prec@5 80.469 (80.934) Epoch: [45][9070/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.4076 (1.7951) Prec@1 68.750 (59.154) Prec@5 87.500 (80.933) Epoch: [45][9080/10010] Time 0.340 (0.331) Data 0.001 (0.001) Loss 1.8125 (1.7951) Prec@1 59.375 (59.154) Prec@5 80.469 (80.934) Epoch: [45][9090/10010] Time 0.321 (0.331) Data 0.001 (0.001) Loss 2.2083 (1.7952) Prec@1 51.562 (59.151) Prec@5 75.781 (80.933) Epoch: [45][9100/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.5919 (1.7952) Prec@1 60.938 (59.151) Prec@5 86.719 (80.933) Epoch: [45][9110/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9583 (1.7953) Prec@1 59.375 (59.148) Prec@5 75.781 (80.931) Epoch: [45][9120/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.8245 (1.7953) Prec@1 61.719 (59.148) Prec@5 79.688 (80.930) Epoch: [45][9130/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9548 (1.7955) Prec@1 58.594 (59.144) Prec@5 78.906 (80.927) Epoch: [45][9140/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.7017 (1.7955) Prec@1 57.812 (59.144) Prec@5 82.031 (80.928) Epoch: [45][9150/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.8707 (1.7956) Prec@1 62.500 (59.143) Prec@5 79.688 (80.928) Epoch: [45][9160/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7530 (1.7956) Prec@1 63.281 (59.141) Prec@5 78.125 (80.925) Epoch: [45][9170/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.8825 (1.7957) Prec@1 57.812 (59.142) Prec@5 76.562 (80.924) Epoch: [45][9180/10010] Time 0.329 (0.331) Data 0.001 (0.001) Loss 1.9360 (1.7957) Prec@1 57.812 (59.142) Prec@5 82.031 (80.923) Epoch: [45][9190/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.6570 (1.7957) Prec@1 58.594 (59.141) Prec@5 81.250 (80.923) Epoch: [45][9200/10010] Time 0.328 (0.331) Data 0.001 (0.001) Loss 1.7010 (1.7957) Prec@1 60.938 (59.141) Prec@5 80.469 (80.923) Epoch: [45][9210/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.5940 (1.7956) Prec@1 58.594 (59.142) Prec@5 83.594 (80.924) Epoch: [45][9220/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.8342 (1.7955) Prec@1 58.594 (59.144) Prec@5 78.906 (80.924) Epoch: [45][9230/10010] Time 0.327 (0.331) Data 0.001 (0.001) Loss 1.7128 (1.7956) Prec@1 63.281 (59.144) Prec@5 78.906 (80.924) Epoch: [45][9240/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.7461 (1.7955) Prec@1 55.469 (59.146) Prec@5 82.812 (80.925) Epoch: [45][9250/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1575 (1.7955) Prec@1 49.219 (59.147) Prec@5 73.438 (80.925) Epoch: [45][9260/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.9197 (1.7956) Prec@1 55.469 (59.143) Prec@5 82.031 (80.924) Epoch: [45][9270/10010] Time 0.332 (0.331) Data 0.001 (0.001) Loss 1.4569 (1.7957) Prec@1 65.625 (59.142) Prec@5 85.156 (80.925) Epoch: [45][9280/10010] Time 0.317 (0.331) Data 0.001 (0.001) Loss 1.6357 (1.7957) Prec@1 63.281 (59.142) Prec@5 84.375 (80.925) Epoch: [45][9290/10010] Time 0.342 (0.331) Data 0.000 (0.001) Loss 1.9280 (1.7957) Prec@1 60.938 (59.141) Prec@5 73.438 (80.924) Epoch: [45][9300/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.9202 (1.7958) Prec@1 60.156 (59.138) Prec@5 78.125 (80.922) Epoch: [45][9310/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.8951 (1.7958) Prec@1 64.062 (59.141) Prec@5 81.250 (80.923) Epoch: [45][9320/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7900 (1.7957) Prec@1 60.156 (59.142) Prec@5 78.125 (80.924) Epoch: [45][9330/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.8477 (1.7957) Prec@1 55.469 (59.140) Prec@5 79.688 (80.924) Epoch: [45][9340/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 2.2412 (1.7959) Prec@1 56.250 (59.137) Prec@5 73.438 (80.922) Epoch: [45][9350/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.9842 (1.7960) Prec@1 50.781 (59.134) Prec@5 78.125 (80.921) Epoch: [45][9360/10010] Time 0.335 (0.331) Data 0.000 (0.001) Loss 1.5835 (1.7960) Prec@1 61.719 (59.133) Prec@5 84.375 (80.921) Epoch: [45][9370/10010] Time 0.329 (0.331) Data 0.000 (0.001) Loss 1.6084 (1.7961) Prec@1 66.406 (59.132) Prec@5 80.469 (80.920) Epoch: [45][9380/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.9183 (1.7961) Prec@1 60.938 (59.134) Prec@5 78.125 (80.921) Epoch: [45][9390/10010] Time 0.319 (0.331) Data 0.000 (0.001) Loss 2.0211 (1.7960) Prec@1 53.906 (59.135) Prec@5 78.906 (80.921) Epoch: [45][9400/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7574 (1.7960) Prec@1 62.500 (59.136) Prec@5 81.250 (80.921) Epoch: [45][9410/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.6578 (1.7960) Prec@1 64.062 (59.137) Prec@5 82.812 (80.920) Epoch: [45][9420/10010] Time 0.331 (0.331) Data 0.001 (0.001) Loss 1.9336 (1.7961) Prec@1 56.250 (59.135) Prec@5 76.562 (80.919) Epoch: [45][9430/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.8479 (1.7961) Prec@1 57.812 (59.136) Prec@5 82.031 (80.919) Epoch: [45][9440/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9738 (1.7961) Prec@1 55.469 (59.134) Prec@5 80.469 (80.919) Epoch: [45][9450/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.8567 (1.7961) Prec@1 54.688 (59.132) Prec@5 78.906 (80.919) Epoch: [45][9460/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 2.0206 (1.7962) Prec@1 51.562 (59.129) Prec@5 78.906 (80.916) Epoch: [45][9470/10010] Time 0.345 (0.331) Data 0.001 (0.001) Loss 1.5357 (1.7962) Prec@1 64.844 (59.130) Prec@5 85.156 (80.917) Epoch: [45][9480/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.7867 (1.7961) Prec@1 57.812 (59.132) Prec@5 79.688 (80.920) Epoch: [45][9490/10010] Time 0.346 (0.331) Data 0.000 (0.001) Loss 1.9324 (1.7962) Prec@1 57.031 (59.132) 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 2555904 bytes but only got 0. Skipping tag 0 "Skipping tag %s" % (size, len(data), tag)) Epoch: [45][9500/10010] Time 0.339 (0.331) Data 0.000 (0.001) Loss 1.7947 (1.7961) Prec@1 58.594 (59.132) Prec@5 77.344 (80.919) Epoch: [45][9510/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 2.2004 (1.7962) Prec@1 50.000 (59.132) Prec@5 75.000 (80.917) Epoch: [45][9520/10010] Time 0.344 (0.331) Data 0.000 (0.001) Loss 1.7650 (1.7961) Prec@1 53.125 (59.133) Prec@5 80.469 (80.918) Epoch: [45][9530/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.8997 (1.7962) Prec@1 63.281 (59.131) Prec@5 85.156 (80.916) Epoch: [45][9540/10010] Time 0.315 (0.331) Data 0.001 (0.001) Loss 1.4102 (1.7962) Prec@1 67.188 (59.133) Prec@5 86.719 (80.917) Epoch: [45][9550/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.7276 (1.7962) Prec@1 66.406 (59.133) Prec@5 82.812 (80.917) Epoch: [45][9560/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 1.6134 (1.7962) Prec@1 60.938 (59.131) Prec@5 82.031 (80.917) Epoch: [45][9570/10010] Time 0.327 (0.331) Data 0.000 (0.001) Loss 1.6848 (1.7962) Prec@1 57.812 (59.130) Prec@5 84.375 (80.915) Epoch: [45][9580/10010] Time 0.337 (0.331) Data 0.001 (0.001) Loss 1.8955 (1.7963) Prec@1 58.594 (59.129) Prec@5 78.125 (80.914) Epoch: [45][9590/10010] Time 0.324 (0.331) Data 0.000 (0.001) Loss 1.9322 (1.7963) Prec@1 55.469 (59.126) Prec@5 78.906 (80.913) Epoch: [45][9600/10010] Time 0.330 (0.331) Data 0.000 (0.001) Loss 1.8183 (1.7964) Prec@1 55.469 (59.125) Prec@5 79.688 (80.911) Epoch: [45][9610/10010] Time 0.337 (0.331) Data 0.000 (0.001) Loss 1.7437 (1.7964) Prec@1 59.375 (59.123) Prec@5 82.031 (80.910) Epoch: [45][9620/10010] Time 0.334 (0.331) Data 0.001 (0.001) Loss 1.7611 (1.7965) Prec@1 61.719 (59.124) Prec@5 84.375 (80.909) Epoch: [45][9630/10010] Time 0.339 (0.331) Data 0.001 (0.001) Loss 1.6836 (1.7965) Prec@1 60.156 (59.123) Prec@5 85.938 (80.909) Epoch: [45][9640/10010] Time 0.322 (0.331) Data 0.001 (0.001) Loss 1.7516 (1.7966) Prec@1 59.375 (59.123) Prec@5 80.469 (80.908) Epoch: [45][9650/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.7892 (1.7966) Prec@1 58.594 (59.120) Prec@5 79.688 (80.907) Epoch: [45][9660/10010] Time 0.338 (0.331) Data 0.001 (0.001) Loss 1.5884 (1.7967) Prec@1 60.156 (59.119) Prec@5 83.594 (80.906) Epoch: [45][9670/10010] Time 0.338 (0.331) Data 0.000 (0.001) Loss 1.8007 (1.7966) Prec@1 64.062 (59.121) Prec@5 80.469 (80.905) Epoch: [45][9680/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.8671 (1.7966) Prec@1 62.500 (59.123) Prec@5 80.469 (80.906) Epoch: [45][9690/10010] Time 0.330 (0.331) Data 0.001 (0.001) Loss 1.9539 (1.7967) Prec@1 62.500 (59.122) Prec@5 79.688 (80.906) Epoch: [45][9700/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.5024 (1.7966) Prec@1 65.625 (59.123) Prec@5 85.156 (80.905) Epoch: [45][9710/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.7778 (1.7966) Prec@1 60.938 (59.123) Prec@5 80.469 (80.905) Epoch: [45][9720/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9138 (1.7967) Prec@1 57.812 (59.123) Prec@5 78.125 (80.905) Epoch: [45][9730/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9166 (1.7967) Prec@1 59.375 (59.121) Prec@5 75.781 (80.905) Epoch: [45][9740/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5698 (1.7966) Prec@1 62.500 (59.123) Prec@5 85.156 (80.907) Epoch: [45][9750/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.7116 (1.7966) Prec@1 58.594 (59.121) Prec@5 83.594 (80.906) Epoch: [45][9760/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.7572 (1.7966) Prec@1 61.719 (59.121) Prec@5 81.250 (80.906) Epoch: [45][9770/10010] Time 0.346 (0.331) Data 0.001 (0.001) Loss 1.6030 (1.7965) Prec@1 61.719 (59.124) Prec@5 85.938 (80.909) Epoch: [45][9780/10010] Time 0.347 (0.331) Data 0.000 (0.001) Loss 1.7301 (1.7965) Prec@1 60.938 (59.123) Prec@5 78.906 (80.908) Epoch: [45][9790/10010] Time 0.335 (0.331) Data 0.001 (0.001) Loss 1.8752 (1.7965) Prec@1 60.156 (59.124) Prec@5 81.250 (80.908) Epoch: [45][9800/10010] Time 0.342 (0.331) Data 0.001 (0.001) Loss 1.7486 (1.7966) Prec@1 60.938 (59.122) Prec@5 79.688 (80.906) Epoch: [45][9810/10010] Time 0.343 (0.331) Data 0.000 (0.001) Loss 2.1103 (1.7966) Prec@1 53.906 (59.123) Prec@5 78.125 (80.906) Epoch: [45][9820/10010] Time 0.334 (0.331) Data 0.000 (0.001) Loss 1.5691 (1.7966) Prec@1 64.062 (59.123) Prec@5 84.375 (80.907) Epoch: [45][9830/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.5904 (1.7966) Prec@1 63.281 (59.125) Prec@5 81.250 (80.907) Epoch: [45][9840/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.8763 (1.7966) Prec@1 59.375 (59.124) Prec@5 75.000 (80.908) Epoch: [45][9850/10010] Time 0.336 (0.331) Data 0.001 (0.001) Loss 1.7325 (1.7966) Prec@1 58.594 (59.123) Prec@5 82.812 (80.909) Epoch: [45][9860/10010] Time 0.320 (0.331) Data 0.001 (0.001) Loss 1.9265 (1.7967) Prec@1 58.594 (59.123) Prec@5 78.906 (80.908) Epoch: [45][9870/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.9167 (1.7967) Prec@1 60.156 (59.121) Prec@5 76.562 (80.906) Epoch: [45][9880/10010] Time 0.317 (0.331) Data 0.000 (0.001) Loss 1.6939 (1.7966) Prec@1 53.906 (59.123) Prec@5 85.156 (80.908) Epoch: [45][9890/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 1.6407 (1.7966) Prec@1 57.812 (59.123) Prec@5 84.375 (80.910) Epoch: [45][9900/10010] Time 0.323 (0.331) Data 0.000 (0.001) Loss 1.9575 (1.7966) Prec@1 53.906 (59.124) Prec@5 78.906 (80.909) Epoch: [45][9910/10010] Time 0.333 (0.331) Data 0.000 (0.001) Loss 1.9714 (1.7966) Prec@1 57.812 (59.122) Prec@5 78.906 (80.909) Epoch: [45][9920/10010] Time 0.344 (0.331) Data 0.001 (0.001) Loss 1.6665 (1.7966) Prec@1 61.719 (59.122) Prec@5 85.156 (80.909) Epoch: [45][9930/10010] Time 0.325 (0.331) Data 0.001 (0.001) Loss 1.6892 (1.7966) Prec@1 64.844 (59.123) Prec@5 82.812 (80.910) Epoch: [45][9940/10010] Time 0.326 (0.331) Data 0.001 (0.001) Loss 1.7142 (1.7964) Prec@1 58.594 (59.125) Prec@5 79.688 (80.911) Epoch: [45][9950/10010] Time 0.324 (0.331) Data 0.001 (0.001) Loss 1.7508 (1.7965) Prec@1 56.250 (59.122) Prec@5 78.906 (80.910) Epoch: [45][9960/10010] Time 0.341 (0.331) Data 0.000 (0.001) Loss 1.5649 (1.7964) Prec@1 65.625 (59.124) Prec@5 81.250 (80.911) Epoch: [45][9970/10010] Time 0.325 (0.331) Data 0.000 (0.001) Loss 1.6182 (1.7965) Prec@1 60.938 (59.121) Prec@5 82.812 (80.911) Epoch: [45][9980/10010] Time 0.323 (0.331) Data 0.001 (0.001) Loss 1.4788 (1.7964) Prec@1 67.969 (59.123) Prec@5 83.594 (80.911) Epoch: [45][9990/10010] Time 0.343 (0.331) Data 0.001 (0.001) Loss 2.1006 (1.7964) Prec@1 55.469 (59.123) Prec@5 79.688 (80.912) Epoch: [45][10000/10010] Time 0.340 (0.331) Data 0.000 (0.001) Loss 1.5384 (1.7965) Prec@1 60.156 (59.122) Prec@5 85.938 (80.912) Test: [0/391] Time 1.648 (1.648) Loss 0.8878 (0.8878) Prec@1 80.469 (80.469) Prec@5 92.188 (92.188) Test: [10/391] Time 0.101 (0.243) Loss 1.5465 (0.8346) Prec@1 66.406 (81.179) Prec@5 85.938 (92.827) Test: [20/391] Time 0.167 (0.188) Loss 1.2574 (1.1534) Prec@1 71.094 (72.396) Prec@5 87.500 (89.323) Test: [30/391] Time 0.103 (0.161) Loss 2.0104 (1.3306) Prec@1 62.500 (67.969) Prec@5 84.375 (88.155) Test: [40/391] Time 0.106 (0.148) Loss 1.3616 (1.2023) Prec@1 68.750 (70.655) Prec@5 85.156 (89.253) Test: [50/391] Time 0.108 (0.139) Loss 0.6753 (1.2306) Prec@1 80.469 (70.328) Prec@5 95.312 (88.925) Test: [60/391] Time 0.106 (0.134) Loss 1.0834 (1.1630) Prec@1 72.656 (71.901) Prec@5 93.750 (89.677) Test: [70/391] Time 0.164 (0.131) Loss 1.3759 (1.1815) Prec@1 62.500 (71.017) Prec@5 92.188 (89.888) Test: [80/391] Time 0.104 (0.128) Loss 1.2052 (1.1929) Prec@1 67.969 (70.216) Prec@5 89.844 (90.085) Test: [90/391] Time 0.111 (0.125) Loss 1.3373 (1.1964) Prec@1 54.688 (69.909) Prec@5 93.750 (90.118) Test: [100/391] Time 0.103 (0.123) Loss 0.8754 (1.1879) Prec@1 77.344 (69.771) Prec@5 93.750 (90.393) Test: [110/391] Time 0.109 (0.122) Loss 1.3515 (1.1863) Prec@1 54.688 (69.390) Prec@5 93.750 (90.590) Test: [120/391] Time 0.108 (0.121) Loss 0.9896 (1.1785) Prec@1 74.219 (69.686) Prec@5 92.969 (90.651) Test: [130/391] Time 0.103 (0.120) Loss 0.7544 (1.1761) Prec@1 87.500 (70.050) Prec@5 92.188 (90.595) Test: [140/391] Time 0.109 (0.119) Loss 1.7693 (1.1801) Prec@1 53.125 (70.041) Prec@5 85.156 (90.559) Test: [150/391] Time 0.107 (0.118) Loss 1.0802 (1.1842) Prec@1 64.062 (69.940) Prec@5 93.750 (90.449) Test: [160/391] Time 0.110 (0.117) Loss 1.0847 (1.1867) Prec@1 70.312 (69.973) Prec@5 90.625 (90.387) Test: [170/391] Time 0.104 (0.117) Loss 2.0491 (1.2258) Prec@1 47.656 (69.243) Prec@5 78.125 (89.903) Test: [180/391] Time 0.103 (0.116) Loss 2.0261 (1.2609) Prec@1 47.656 (68.478) Prec@5 82.031 (89.399) Test: [190/391] Time 0.104 (0.116) Loss 2.2708 (1.2945) Prec@1 52.344 (67.932) Prec@5 79.688 (88.915) Test: [200/391] Time 0.103 (0.115) Loss 1.5359 (1.3339) Prec@1 62.500 (67.199) Prec@5 82.812 (88.382) Test: [210/391] Time 0.105 (0.115) Loss 1.7151 (1.3518) Prec@1 60.156 (66.847) Prec@5 84.375 (88.137) Test: [220/391] Time 0.106 (0.115) Loss 0.8050 (1.3630) Prec@1 81.250 (66.714) Prec@5 92.969 (87.850) Test: [230/391] Time 0.110 (0.114) Loss 2.4157 (1.3784) Prec@1 43.750 (66.433) Prec@5 78.906 (87.686) Test: [240/391] Time 0.106 (0.114) Loss 1.6863 (1.3916) Prec@1 66.406 (66.260) Prec@5 80.469 (87.412) Test: [250/391] Time 0.105 (0.114) Loss 1.2493 (1.4173) Prec@1 68.750 (65.665) Prec@5 89.844 (87.139) Test: [260/391] Time 0.106 (0.114) Loss 1.8432 (1.4352) Prec@1 59.375 (65.272) Prec@5 79.688 (86.919) Test: [270/391] Time 0.099 (0.113) Loss 2.2090 (1.4486) Prec@1 46.875 (64.979) Prec@5 81.250 (86.725) Test: [280/391] Time 0.108 (0.113) Loss 1.4981 (1.4579) Prec@1 57.031 (64.830) Prec@5 88.281 (86.621) Test: [290/391] Time 0.100 (0.113) Loss 1.9930 (1.4695) Prec@1 34.375 (64.602) Prec@5 82.812 (86.431) Test: [300/391] Time 0.164 (0.113) Loss 1.6213 (1.4810) Prec@1 67.969 (64.436) Prec@5 84.375 (86.246) Test: [310/391] Time 0.110 (0.113) Loss 1.7331 (1.4941) Prec@1 60.938 (64.203) Prec@5 84.375 (86.046) Test: [320/391] Time 0.107 (0.112) Loss 1.2563 (1.5016) Prec@1 73.438 (64.080) Prec@5 89.844 (85.981) Test: [330/391] Time 0.104 (0.112) Loss 2.0895 (1.5238) Prec@1 52.344 (63.680) Prec@5 78.906 (85.652) Test: [340/391] Time 0.101 (0.112) Loss 1.5362 (1.5322) Prec@1 53.125 (63.465) Prec@5 88.281 (85.500) Test: [350/391] Time 0.101 (0.112) Loss 1.5781 (1.5378) Prec@1 60.156 (63.337) Prec@5 86.719 (85.417) Test: [360/391] Time 0.110 (0.112) Loss 1.7382 (1.5495) Prec@1 49.219 (63.095) Prec@5 86.719 (85.297) Test: [370/391] Time 0.103 (0.112) Loss 1.3246 (1.5455) Prec@1 59.375 (63.197) Prec@5 92.969 (85.348) Test: [380/391] Time 0.103 (0.111) Loss 1.0182 (1.5466) Prec@1 75.781 (63.179) Prec@5 92.188 (85.312) Test: [390/391] Time 0.069 (0.111) Loss 2.2525 (1.5401) Prec@1 40.000 (63.294) Prec@5 75.000 (85.382) * Prec@1 63.294 Prec@5 85.382 Epoch: [46][0/10010] Time 2.754 (2.754) Data 2.573 (2.573) Loss 1.7692 (1.7692) Prec@1 60.938 (60.938) Prec@5 78.906 (78.906) Epoch: [46][10/10010] Time 0.323 (0.542) Data 0.000 (0.243) Loss 1.4832 (1.6984) Prec@1 67.188 (61.932) Prec@5 83.594 (81.889) Epoch: [46][20/10010] Time 0.316 (0.437) Data 0.000 (0.127) Loss 2.0900 (1.7584) Prec@1 52.344 (60.193) Prec@5 77.344 (81.064) Epoch: [46][30/10010] Time 0.324 (0.400) Data 0.000 (0.086) Loss 2.0895 (1.7643) Prec@1 53.906 (60.131) Prec@5 78.125 (81.326) Epoch: [46][40/10010] Time 0.333 (0.382) Data 0.000 (0.066) Loss 1.8445 (1.7721) Prec@1 58.594 (59.470) Prec@5 83.594 (81.345) Epoch: [46][50/10010] Time 0.330 (0.371) Data 0.001 (0.053) Loss 1.7695 (1.7824) Prec@1 58.594 (59.329) Prec@5 81.250 (81.281) Epoch: [46][60/10010] Time 0.321 (0.365) Data 0.000 (0.044) Loss 1.7737 (1.7825) Prec@1 59.375 (59.375) Prec@5 82.812 (81.340) Epoch: [46][70/10010] Time 0.343 (0.361) Data 0.001 (0.038) Loss 1.9378 (1.7885) Prec@1 60.156 (59.298) Prec@5 75.781 (81.250) Epoch: [46][80/10010] Time 0.344 (0.357) Data 0.000 (0.033) Loss 1.7280 (1.7872) Prec@1 63.281 (59.201) Prec@5 81.250 (81.250) Epoch: [46][90/10010] Time 0.320 (0.355) Data 0.001 (0.030) Loss 1.8565 (1.7853) Prec@1 60.156 (59.272) Prec@5 80.469 (81.121) Epoch: [46][100/10010] Time 0.329 (0.352) Data 0.001 (0.027) Loss 1.7876 (1.7816) Prec@1 52.344 (59.445) Prec@5 82.812 (81.134) Epoch: [46][110/10010] Time 0.337 (0.351) Data 0.000 (0.025) Loss 1.9349 (1.7779) Prec@1 51.562 (59.614) Prec@5 78.906 (81.222) Epoch: [46][120/10010] Time 0.330 (0.350) Data 0.001 (0.023) Loss 2.1269 (1.7769) Prec@1 50.000 (59.582) Prec@5 75.781 (81.250) Epoch: [46][130/10010] Time 0.326 (0.349) Data 0.000 (0.021) Loss 1.9099 (1.7831) Prec@1 60.938 (59.572) Prec@5 82.031 (81.190) Epoch: [46][140/10010] Time 0.345 (0.347) Data 0.001 (0.019) Loss 1.9157 (1.7799) Prec@1 55.469 (59.552) Prec@5 82.812 (81.272) Epoch: [46][150/10010] Time 0.327 (0.346) Data 0.001 (0.018) Loss 1.9496 (1.7801) Prec@1 54.688 (59.473) Prec@5 79.688 (81.338) Epoch: [46][160/10010] Time 0.342 (0.345) Data 0.000 (0.017) Loss 1.5613 (1.7757) Prec@1 67.188 (59.457) Prec@5 83.594 (81.415) Epoch: [46][170/10010] Time 0.345 (0.345) Data 0.001 (0.016) Loss 1.5458 (1.7759) Prec@1 70.312 (59.489) Prec@5 85.938 (81.506) Epoch: [46][180/10010] Time 0.306 (0.344) Data 0.001 (0.015) Loss 1.5371 (1.7757) Prec@1 64.844 (59.422) Prec@5 85.156 (81.526) Epoch: [46][190/10010] Time 0.326 (0.343) Data 0.000 (0.015) Loss 1.8872 (1.7785) Prec@1 58.594 (59.371) Prec@5 79.688 (81.442) Epoch: [46][200/10010] Time 0.341 (0.342) Data 0.001 (0.014) Loss 1.5908 (1.7799) Prec@1 64.844 (59.301) Prec@5 85.156 (81.433) Epoch: [46][210/10010] Time 0.339 (0.342) Data 0.000 (0.013) Loss 1.7206 (1.7767) Prec@1 64.062 (59.364) Prec@5 77.344 (81.406) Epoch: [46][220/10010] Time 0.329 (0.342) Data 0.000 (0.013) Loss 1.9439 (1.7803) Prec@1 55.469 (59.315) Prec@5 78.125 (81.363) Epoch: [46][230/10010] Time 0.324 (0.341) Data 0.000 (0.012) Loss 1.7673 (1.7790) Prec@1 63.281 (59.341) Prec@5 82.031 (81.341) Epoch: [46][240/10010] Time 0.339 (0.341) Data 0.000 (0.012) Loss 1.5281 (1.7771) Prec@1 67.188 (59.375) Prec@5 86.719 (81.383) Epoch: [46][250/10010] Time 0.331 (0.341) Data 0.001 (0.011) Loss 1.5862 (1.7739) Prec@1 62.500 (59.450) Prec@5 81.250 (81.409) Epoch: [46][260/10010] Time 0.326 (0.340) Data 0.000 (0.011) Loss 1.7358 (1.7746) Prec@1 61.719 (59.417) Prec@5 81.250 (81.394) Epoch: [46][270/10010] Time 0.333 (0.340) Data 0.001 (0.010) Loss 1.8474 (1.7773) Prec@1 57.812 (59.389) Prec@5 81.250 (81.354) Epoch: [46][280/10010] Time 0.337 (0.340) Data 0.000 (0.010) Loss 1.6519 (1.7812) Prec@1 64.844 (59.358) Prec@5 80.469 (81.275) Epoch: [46][290/10010] Time 0.326 (0.340) Data 0.001 (0.010) Loss 1.8540 (1.7822) Prec@1 59.375 (59.308) Prec@5 79.688 (81.242) Epoch: [46][300/10010] Time 0.328 (0.339) Data 0.001 (0.009) Loss 1.5053 (1.7794) Prec@1 63.281 (59.414) Prec@5 83.594 (81.279) Epoch: [46][310/10010] Time 0.316 (0.339) Data 0.001 (0.009) Loss 1.4946 (1.7795) Prec@1 65.625 (59.405) Prec@5 82.812 (81.275) Epoch: [46][320/10010] Time 0.343 (0.339) Data 0.000 (0.009) Loss 1.4995 (1.7758) Prec@1 71.875 (59.467) Prec@5 85.156 (81.321) Epoch: [46][330/10010] Time 0.326 (0.339) Data 0.000 (0.009) Loss 1.2508 (1.7724) Prec@1 70.312 (59.505) Prec@5 89.844 (81.387) Epoch: [46][340/10010] Time 0.325 (0.339) Data 0.000 (0.008) Loss 1.5224 (1.7715) Prec@1 64.062 (59.524) Prec@5 85.938 (81.374) Epoch: [46][350/10010] Time 0.320 (0.338) Data 0.000 (0.008) Loss 1.8418 (1.7738) Prec@1 58.594 (59.500) Prec@5 83.594 (81.310) Epoch: [46][360/10010] Time 0.333 (0.338) Data 0.001 (0.008) Loss 1.9723 (1.7714) Prec@1 53.906 (59.514) Prec@5 75.781 (81.352) Epoch: [46][370/10010] Time 0.339 (0.338) Data 0.000 (0.008) Loss 1.6614 (1.7689) Prec@1 57.031 (59.531) Prec@5 80.469 (81.389) Epoch: [46][380/10010] Time 0.345 (0.338) Data 0.000 (0.008) Loss 1.7914 (1.7715) Prec@1 60.938 (59.500) Prec@5 81.250 (81.353) Epoch: [46][390/10010] Time 0.319 (0.338) Data 0.000 (0.007) Loss 1.6750 (1.7720) Prec@1 60.938 (59.503) Prec@5 84.375 (81.356) Epoch: [46][400/10010] Time 0.339 (0.338) Data 0.000 (0.007) Loss 1.5747 (1.7732) Prec@1 57.812 (59.467) Prec@5 82.031 (81.316) Epoch: [46][410/10010] Time 0.317 (0.337) Data 0.001 (0.007) Loss 1.6886 (1.7741) Prec@1 64.844 (59.459) Prec@5 81.250 (81.296) Epoch: [46][420/10010] Time 0.337 (0.337) Data 0.000 (0.007) Loss 1.7507 (1.7727) Prec@1 56.250 (59.477) Prec@5 82.812 (81.289) Epoch: [46][430/10010] Time 0.330 (0.337) Data 0.001 (0.007) Loss 1.8960 (1.7742) Prec@1 57.031 (59.462) Prec@5 78.125 (81.268) Epoch: [46][440/10010] Time 0.340 (0.337) Data 0.000 (0.007) Loss 1.9879 (1.7729) Prec@1 56.250 (59.497) Prec@5 75.781 (81.271) Epoch: [46][450/10010] Time 0.322 (0.337) Data 0.000 (0.006) Loss 1.5116 (1.7709) Prec@1 61.719 (59.527) Prec@5 82.031 (81.304) Epoch: [46][460/10010] Time 0.337 (0.336) Data 0.000 (0.006) Loss 1.4480 (1.7684) Prec@1 61.719 (59.539) Prec@5 82.812 (81.345) Epoch: [46][470/10010] Time 0.331 (0.336) Data 0.001 (0.006) Loss 1.7991 (1.7683) Prec@1 63.281 (59.544) Prec@5 79.688 (81.353) Epoch: [46][480/10010] Time 0.327 (0.336) Data 0.000 (0.006) Loss 1.5279 (1.7685) Prec@1 67.188 (59.531) Prec@5 86.719 (81.346) Epoch: [46][490/10010] Time 0.325 (0.336) Data 0.000 (0.006) Loss 1.8416 (1.7686) Prec@1 55.469 (59.561) Prec@5 79.688 (81.379) Epoch: [46][500/10010] Time 0.332 (0.336) Data 0.000 (0.006) Loss 1.5214 (1.7681) Prec@1 64.844 (59.598) Prec@5 83.594 (81.369) Epoch: [46][510/10010] Time 0.326 (0.336) Data 0.001 (0.006) Loss 1.7939 (1.7683) Prec@1 55.469 (59.578) Prec@5 83.594 (81.371) Epoch: [46][520/10010] Time 0.339 (0.336) Data 0.001 (0.006) Loss 1.8790 (1.7672) Prec@1 54.688 (59.589) Prec@5 81.250 (81.416) Epoch: [46][530/10010] Time 0.330 (0.336) Data 0.001 (0.006) Loss 1.7154 (1.7657) Prec@1 62.500 (59.627) Prec@5 82.031 (81.425) Epoch: [46][540/10010] Time 0.330 (0.336) Data 0.001 (0.005) Loss 1.7644 (1.7654) Prec@1 58.594 (59.642) Prec@5 84.375 (81.423) Epoch: [46][550/10010] Time 0.342 (0.336) Data 0.001 (0.005) Loss 1.6028 (1.7647) Prec@1 64.062 (59.669) Prec@5 85.156 (81.451) Epoch: [46][560/10010] Time 0.330 (0.336) Data 0.001 (0.005) Loss 1.8081 (1.7656) Prec@1 53.906 (59.659) Prec@5 82.031 (81.438) Epoch: [46][570/10010] Time 0.345 (0.336) Data 0.000 (0.005) Loss 1.6260 (1.7636) Prec@1 62.500 (59.710) Prec@5 85.938 (81.469) Epoch: [46][580/10010] Time 0.339 (0.336) Data 0.001 (0.005) Loss 1.9606 (1.7637) Prec@1 55.469 (59.696) Prec@5 78.906 (81.466) Epoch: [46][590/10010] Time 0.330 (0.336) Data 0.000 (0.005) Loss 1.5000 (1.7626) Prec@1 66.406 (59.741) Prec@5 85.938 (81.472) Epoch: [46][600/10010] Time 0.345 (0.335) Data 0.000 (0.005) Loss 1.8029 (1.7637) Prec@1 65.625 (59.731) Prec@5 78.906 (81.466) Epoch: [46][610/10010] Time 0.331 (0.335) Data 0.000 (0.005) Loss 1.8385 (1.7645) Prec@1 61.719 (59.741) Prec@5 78.906 (81.460) Epoch: [46][620/10010] Time 0.345 (0.335) Data 0.001 (0.005) Loss 1.8589 (1.7644) Prec@1 59.375 (59.720) Prec@5 82.031 (81.465) Epoch: [46][630/10010] Time 0.331 (0.335) Data 0.000 (0.005) Loss 1.8501 (1.7652) Prec@1 59.375 (59.709) Prec@5 77.344 (81.446) Epoch: [46][640/10010] Time 0.326 (0.335) Data 0.000 (0.005) Loss 1.9280 (1.7657) Prec@1 58.594 (59.708) Prec@5 78.906 (81.444) Epoch: [46][650/10010] Time 0.321 (0.335) Data 0.001 (0.005) Loss 1.9012 (1.7656) Prec@1 54.688 (59.703) Prec@5 80.469 (81.438) Epoch: [46][660/10010] Time 0.325 (0.335) Data 0.001 (0.005) Loss 1.8741 (1.7658) Prec@1 59.375 (59.712) Prec@5 79.688 (81.433) Epoch: [46][670/10010] Time 0.322 (0.335) Data 0.000 (0.005) Loss 2.1349 (1.7656) Prec@1 54.688 (59.708) Prec@5 74.219 (81.441) Epoch: [46][680/10010] Time 0.332 (0.335) Data 0.000 (0.004) Loss 1.5392 (1.7661) Prec@1 57.031 (59.689) Prec@5 85.156 (81.442) Epoch: [46][690/10010] Time 0.347 (0.335) Data 0.001 (0.004) Loss 1.4600 (1.7667) Prec@1 70.312 (59.687) Prec@5 85.156 (81.424) Epoch: [46][700/10010] Time 0.337 (0.335) Data 0.001 (0.004) Loss 1.6797 (1.7679) Prec@1 60.156 (59.666) Prec@5 82.031 (81.406) Epoch: [46][710/10010] Time 0.320 (0.335) Data 0.000 (0.004) Loss 1.7736 (1.7698) Prec@1 57.812 (59.646) Prec@5 82.812 (81.372) Epoch: [46][720/10010] Time 0.332 (0.335) Data 0.000 (0.004) Loss 1.7472 (1.7705) Prec@1 63.281 (59.640) Prec@5 79.688 (81.376) Epoch: [46][730/10010] Time 0.328 (0.335) Data 0.001 (0.004) Loss 1.6369 (1.7712) Prec@1 55.469 (59.642) Prec@5 85.938 (81.369) Epoch: [46][740/10010] Time 0.336 (0.335) Data 0.000 (0.004) Loss 1.7437 (1.7703) Prec@1 61.719 (59.675) Prec@5 83.594 (81.380) Epoch: [46][750/10010] Time 0.345 (0.335) Data 0.001 (0.004) Loss 1.4871 (1.7707) Prec@1 71.094 (59.702) Prec@5 85.156 (81.353) Epoch: [46][760/10010] Time 0.335 (0.335) Data 0.000 (0.004) Loss 1.9180 (1.7710) Prec@1 55.469 (59.677) Prec@5 80.469 (81.360) Epoch: [46][770/10010] Time 0.330 (0.335) Data 0.000 (0.004) Loss 2.1519 (1.7716) Prec@1 46.094 (59.646) Prec@5 75.781 (81.358) Epoch: [46][780/10010] Time 0.327 (0.335) Data 0.001 (0.004) Loss 1.8406 (1.7716) Prec@1 57.031 (59.637) Prec@5 79.688 (81.355) Epoch: [46][790/10010] Time 0.334 (0.335) Data 0.001 (0.004) Loss 1.8383 (1.7707) Prec@1 55.469 (59.657) Prec@5 77.344 (81.354) Epoch: [46][800/10010] Time 0.321 (0.334) Data 0.001 (0.004) Loss 1.8904 (1.7699) Prec@1 58.594 (59.678) Prec@5 80.469 (81.379) Epoch: [46][810/10010] Time 0.330 (0.334) Data 0.000 (0.004) Loss 1.7505 (1.7685) Prec@1 63.281 (59.703) Prec@5 83.594 (81.417) Epoch: [46][820/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 1.9304 (1.7703) Prec@1 52.344 (59.657) Prec@5 78.906 (81.391) Epoch: [46][830/10010] Time 0.317 (0.334) Data 0.001 (0.004) Loss 1.6379 (1.7691) Prec@1 61.719 (59.668) Prec@5 82.031 (81.407) Epoch: [46][840/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 1.7722 (1.7686) Prec@1 61.719 (59.694) Prec@5 80.469 (81.401) Epoch: [46][850/10010] Time 0.331 (0.334) Data 0.001 (0.004) Loss 1.7469 (1.7674) Prec@1 63.281 (59.730) Prec@5 82.031 (81.422) Epoch: [46][860/10010] Time 0.327 (0.334) Data 0.001 (0.004) Loss 1.6644 (1.7668) Prec@1 63.281 (59.747) Prec@5 81.250 (81.436) Epoch: [46][870/10010] Time 0.333 (0.334) Data 0.000 (0.004) Loss 1.9094 (1.7672) Prec@1 57.031 (59.748) Prec@5 76.562 (81.428) Epoch: [46][880/10010] Time 0.313 (0.334) Data 0.000 (0.004) Loss 1.7420 (1.7662) Prec@1 61.719 (59.766) Prec@5 80.469 (81.448) Epoch: [46][890/10010] Time 0.324 (0.334) Data 0.000 (0.004) Loss 1.7045 (1.7655) Prec@1 60.156 (59.796) Prec@5 82.031 (81.446) Epoch: [46][900/10010] Time 0.320 (0.334) Data 0.000 (0.004) Loss 1.6620 (1.7661) Prec@1 62.500 (59.784) Prec@5 82.812 (81.454) Epoch: [46][910/10010] Time 0.317 (0.334) Data 0.001 (0.003) Loss 1.4659 (1.7652) Prec@1 61.719 (59.808) Prec@5 82.812 (81.465) Epoch: [46][920/10010] Time 0.340 (0.334) Data 0.000 (0.003) Loss 1.2976 (1.7651) Prec@1 69.531 (59.812) Prec@5 89.844 (81.461) Epoch: [46][930/10010] Time 0.319 (0.334) Data 0.000 (0.003) Loss 1.4970 (1.7645) Prec@1 66.406 (59.822) Prec@5 84.375 (81.467) Epoch: [46][940/10010] Time 0.341 (0.334) Data 0.001 (0.003) Loss 2.0185 (1.7645) Prec@1 60.938 (59.838) Prec@5 76.562 (81.480) Epoch: [46][950/10010] Time 0.337 (0.334) Data 0.000 (0.003) Loss 1.9798 (1.7650) Prec@1 58.594 (59.828) Prec@5 82.812 (81.478) Epoch: [46][960/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 1.5701 (1.7653) Prec@1 64.062 (59.828) Prec@5 86.719 (81.475) Epoch: [46][970/10010] Time 0.332 (0.334) Data 0.000 (0.003) Loss 1.9610 (1.7654) Prec@1 53.125 (59.814) Prec@5 78.125 (81.469) Epoch: [46][980/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 1.8170 (1.7650) Prec@1 62.500 (59.822) Prec@5 81.250 (81.484) Epoch: [46][990/10010] Time 0.326 (0.334) Data 0.000 (0.003) Loss 1.5940 (1.7648) Prec@1 67.969 (59.831) Prec@5 85.156 (81.482) Epoch: [46][1000/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 1.8245 (1.7650) Prec@1 60.156 (59.832) Prec@5 79.688 (81.462) Epoch: [46][1010/10010] Time 0.335 (0.333) Data 0.000 (0.003) Loss 1.6275 (1.7647) Prec@1 60.156 (59.830) Prec@5 83.594 (81.470) Epoch: [46][1020/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.5559 (1.7630) Prec@1 59.375 (59.858) Prec@5 85.156 (81.488) Epoch: [46][1030/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 1.5886 (1.7629) Prec@1 64.062 (59.867) Prec@5 84.375 (81.497) Epoch: [46][1040/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 1.8999 (1.7640) Prec@1 54.688 (59.846) Prec@5 78.906 (81.475) Epoch: [46][1050/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 1.5749 (1.7638) Prec@1 59.375 (59.837) Prec@5 84.375 (81.479) Epoch: [46][1060/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.1897 (1.7643) Prec@1 50.781 (59.829) Prec@5 75.000 (81.467) Epoch: [46][1070/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 1.6019 (1.7642) Prec@1 62.500 (59.826) Prec@5 82.812 (81.468) Epoch: [46][1080/10010] Time 0.320 (0.333) Data 0.000 (0.003) Loss 1.8932 (1.7644) Prec@1 57.031 (59.813) Prec@5 78.906 (81.458) Epoch: [46][1090/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 1.9725 (1.7641) Prec@1 54.688 (59.824) Prec@5 77.344 (81.461) Epoch: [46][1100/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.3124 (1.7641) Prec@1 47.656 (59.819) Prec@5 73.438 (81.463) Epoch: [46][1110/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 1.9733 (1.7641) Prec@1 56.250 (59.822) Prec@5 80.469 (81.462) Epoch: [46][1120/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 2.1136 (1.7644) Prec@1 55.469 (59.811) Prec@5 77.344 (81.460) Epoch: [46][1130/10010] Time 0.350 (0.333) Data 0.000 (0.003) Loss 1.6230 (1.7640) Prec@1 65.625 (59.823) Prec@5 85.156 (81.476) Epoch: [46][1140/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 1.7136 (1.7641) Prec@1 60.938 (59.831) Prec@5 83.594 (81.477) Epoch: [46][1150/10010] Time 0.336 (0.333) Data 0.001 (0.003) Loss 1.6876 (1.7644) Prec@1 60.938 (59.836) Prec@5 81.250 (81.477) Epoch: [46][1160/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 1.7456 (1.7636) Prec@1 58.594 (59.842) Prec@5 82.812 (81.494) Epoch: [46][1170/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 1.7767 (1.7636) Prec@1 56.250 (59.837) Prec@5 82.031 (81.496) Epoch: [46][1180/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 1.8934 (1.7636) Prec@1 60.156 (59.831) Prec@5 83.594 (81.486) Epoch: [46][1190/10010] Time 0.338 (0.333) Data 0.001 (0.003) Loss 1.7355 (1.7629) Prec@1 70.312 (59.849) Prec@5 85.938 (81.493) Epoch: [46][1200/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.7872 (1.7620) Prec@1 59.375 (59.863) Prec@5 80.469 (81.500) Epoch: [46][1210/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.3294 (1.7621) Prec@1 64.844 (59.857) Prec@5 86.719 (81.503) Epoch: [46][1220/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 1.7723 (1.7631) Prec@1 59.375 (59.825) Prec@5 82.031 (81.482) Epoch: [46][1230/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.8489 (1.7643) Prec@1 53.125 (59.817) Prec@5 79.688 (81.472) Epoch: [46][1240/10010] Time 0.332 (0.333) Data 0.000 (0.003) Loss 1.7588 (1.7635) Prec@1 61.719 (59.841) Prec@5 78.125 (81.481) Epoch: [46][1250/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 1.5784 (1.7629) Prec@1 65.625 (59.853) Prec@5 82.031 (81.491) Epoch: [46][1260/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 1.8345 (1.7635) Prec@1 59.375 (59.841) Prec@5 79.688 (81.484) Epoch: [46][1270/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 1.8329 (1.7646) Prec@1 57.812 (59.818) Prec@5 82.031 (81.473) Epoch: [46][1280/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 1.7084 (1.7645) Prec@1 59.375 (59.821) Prec@5 84.375 (81.477) Epoch: [46][1290/10010] Time 0.338 (0.333) Data 0.000 (0.003) Loss 1.8178 (1.7644) Prec@1 60.156 (59.828) Prec@5 80.469 (81.483) Epoch: [46][1300/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.6240 (1.7644) Prec@1 67.969 (59.827) Prec@5 85.156 (81.482) Epoch: [46][1310/10010] Time 0.322 (0.333) Data 0.000 (0.003) Loss 1.7284 (1.7640) Prec@1 63.281 (59.852) Prec@5 85.938 (81.479) Epoch: [46][1320/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.8993 (1.7648) Prec@1 55.469 (59.841) Prec@5 79.688 (81.468) Epoch: [46][1330/10010] Time 0.344 (0.333) Data 0.000 (0.003) Loss 1.8038 (1.7653) Prec@1 55.469 (59.839) Prec@5 81.250 (81.464) Epoch: [46][1340/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 1.7369 (1.7655) Prec@1 54.688 (59.839) Prec@5 82.031 (81.456) Epoch: [46][1350/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 1.7471 (1.7653) Prec@1 63.281 (59.842) Prec@5 83.594 (81.459) Epoch: [46][1360/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.3635 (1.7648) Prec@1 69.531 (59.838) Prec@5 87.500 (81.460) Epoch: [46][1370/10010] Time 0.354 (0.333) Data 0.001 (0.003) Loss 1.6673 (1.7649) Prec@1 64.844 (59.840) Prec@5 85.938 (81.449) Epoch: [46][1380/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 1.4961 (1.7651) Prec@1 64.844 (59.844) Prec@5 83.594 (81.442) Epoch: [46][1390/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.8066 (1.7649) Prec@1 57.812 (59.851) Prec@5 80.469 (81.443) Epoch: [46][1400/10010] Time 0.314 (0.333) Data 0.001 (0.002) Loss 2.0075 (1.7645) Prec@1 55.469 (59.855) Prec@5 80.469 (81.448) Epoch: [46][1410/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.2886 (1.7638) Prec@1 66.406 (59.863) Prec@5 91.406 (81.455) Epoch: [46][1420/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 1.6275 (1.7632) Prec@1 60.938 (59.861) Prec@5 86.719 (81.465) Epoch: [46][1430/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 1.5906 (1.7637) Prec@1 62.500 (59.850) Prec@5 88.281 (81.462) Epoch: [46][1440/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 1.5142 (1.7634) Prec@1 61.719 (59.858) Prec@5 84.375 (81.471) Epoch: [46][1450/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 1.9072 (1.7636) Prec@1 59.375 (59.847) Prec@5 82.812 (81.478) Epoch: [46][1460/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 1.9760 (1.7638) Prec@1 59.375 (59.833) Prec@5 77.344 (81.476) Epoch: [46][1470/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 2.1541 (1.7642) Prec@1 55.469 (59.824) Prec@5 71.094 (81.469) Epoch: [46][1480/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 1.9743 (1.7644) Prec@1 61.719 (59.817) Prec@5 75.781 (81.463) Epoch: [46][1490/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 1.7365 (1.7646) Prec@1 57.031 (59.813) Prec@5 82.031 (81.461) Epoch: [46][1500/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 1.8746 (1.7646) Prec@1 53.906 (59.816) Prec@5 79.688 (81.458) Epoch: [46][1510/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 1.5773 (1.7642) Prec@1 63.281 (59.812) Prec@5 82.031 (81.460) Epoch: [46][1520/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 1.9172 (1.7645) Prec@1 53.125 (59.812) Prec@5 79.688 (81.445) Epoch: [46][1530/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 1.6325 (1.7639) Prec@1 58.594 (59.819) Prec@5 86.719 (81.455) Epoch: [46][1540/10010] Time 0.315 (0.333) Data 0.001 (0.002) Loss 1.5737 (1.7644) Prec@1 60.156 (59.809) Prec@5 83.594 (81.449) Epoch: [46][1550/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 1.7820 (1.7645) Prec@1 57.812 (59.815) Prec@5 80.469 (81.435) Epoch: [46][1560/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.6691 (1.7639) Prec@1 67.969 (59.831) Prec@5 84.375 (81.438) Epoch: [46][1570/10010] Time 0.344 (0.333) Data 0.000 (0.002) Loss 1.7175 (1.7630) Prec@1 56.250 (59.836) Prec@5 82.031 (81.447) Epoch: [46][1580/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 2.0168 (1.7632) Prec@1 57.812 (59.844) Prec@5 73.438 (81.438) Epoch: [46][1590/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 1.6455 (1.7631) Prec@1 60.938 (59.842) Prec@5 85.938 (81.444) Epoch: [46][1600/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.1139 (1.7626) Prec@1 51.562 (59.856) Prec@5 77.344 (81.444) Epoch: [46][1610/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.7151 (1.7630) Prec@1 60.156 (59.853) Prec@5 85.156 (81.438) Epoch: [46][1620/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.5705 (1.7629) Prec@1 60.156 (59.857) Prec@5 85.938 (81.446) Epoch: [46][1630/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 1.5780 (1.7630) Prec@1 64.062 (59.854) Prec@5 86.719 (81.442) Epoch: [46][1640/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.8661 (1.7627) Prec@1 57.812 (59.861) Prec@5 81.250 (81.448) Epoch: [46][1650/10010] Time 0.343 (0.333) Data 0.000 (0.002) Loss 1.8990 (1.7630) Prec@1 58.594 (59.857) Prec@5 81.250 (81.446) Epoch: [46][1660/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.6372 (1.7626) Prec@1 64.062 (59.865) Prec@5 81.250 (81.448) Epoch: [46][1670/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 1.8469 (1.7630) Prec@1 54.688 (59.852) Prec@5 78.125 (81.437) Epoch: [46][1680/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 1.6368 (1.7627) Prec@1 60.156 (59.858) Prec@5 83.594 (81.441) Epoch: [46][1690/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 1.7398 (1.7636) Prec@1 60.938 (59.844) Prec@5 80.469 (81.419) /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][1700/10010] Time 0.316 (0.333) Data 0.000 (0.002) Loss 2.0361 (1.7639) Prec@1 56.250 (59.851) Prec@5 81.250 (81.421) Epoch: [46][1710/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.3451 (1.7639) Prec@1 63.281 (59.849) Prec@5 86.719 (81.420) Epoch: [46][1720/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.6248 (1.7634) Prec@1 65.625 (59.874) Prec@5 82.031 (81.420) Epoch: [46][1730/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.9420 (1.7640) Prec@1 56.250 (59.864) Prec@5 77.344 (81.415) Epoch: [46][1740/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.7432 (1.7640) Prec@1 57.031 (59.858) Prec@5 80.469 (81.411) Epoch: [46][1750/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 1.7460 (1.7635) Prec@1 57.812 (59.869) Prec@5 85.938 (81.421) Epoch: [46][1760/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.7768 (1.7634) Prec@1 61.719 (59.877) Prec@5 78.125 (81.422) Epoch: [46][1770/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.0282 (1.7641) Prec@1 56.250 (59.868) Prec@5 82.031 (81.414) Epoch: [46][1780/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 1.4773 (1.7639) Prec@1 66.406 (59.870) Prec@5 83.594 (81.413) Epoch: [46][1790/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 1.6903 (1.7640) Prec@1 60.156 (59.868) Prec@5 82.812 (81.411) Epoch: [46][1800/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 1.5496 (1.7637) Prec@1 63.281 (59.878) Prec@5 83.594 (81.420) Epoch: [46][1810/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.8424 (1.7635) Prec@1 50.000 (59.884) Prec@5 78.125 (81.421) Epoch: [46][1820/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 1.7305 (1.7633) Prec@1 57.812 (59.888) Prec@5 80.469 (81.423) Epoch: [46][1830/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.8845 (1.7638) Prec@1 53.125 (59.884) Prec@5 82.812 (81.419) Epoch: [46][1840/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 1.9956 (1.7640) Prec@1 54.688 (59.876) Prec@5 74.219 (81.413) Epoch: [46][1850/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 1.5887 (1.7640) Prec@1 65.625 (59.881) Prec@5 86.719 (81.419) Epoch: [46][1860/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 1.9442 (1.7642) Prec@1 57.031 (59.890) Prec@5 78.125 (81.419) Epoch: [46][1870/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 1.6837 (1.7648) Prec@1 57.812 (59.876) Prec@5 85.938 (81.415) Epoch: [46][1880/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 1.5727 (1.7653) Prec@1 62.500 (59.878) Prec@5 85.938 (81.412) Epoch: [46][1890/10010] Time 0.334 (0.332) Data 0.000 (0.002) Loss 1.8388 (1.7656) Prec@1 51.562 (59.870) Prec@5 82.031 (81.414) Epoch: [46][1900/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.0168 (1.7654) Prec@1 53.125 (59.873) Prec@5 78.125 (81.418) Epoch: [46][1910/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.6478 (1.7654) Prec@1 60.156 (59.874) Prec@5 83.594 (81.421) Epoch: [46][1920/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 1.8771 (1.7656) Prec@1 59.375 (59.870) Prec@5 82.812 (81.415) Epoch: [46][1930/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.6670 (1.7655) Prec@1 57.812 (59.869) Prec@5 82.031 (81.413) Epoch: [46][1940/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.6247 (1.7648) Prec@1 58.594 (59.881) Prec@5 82.031 (81.424) Epoch: [46][1950/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 2.0993 (1.7649) Prec@1 60.156 (59.884) Prec@5 76.562 (81.413) Epoch: [46][1960/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.1568 (1.7652) Prec@1 51.562 (59.870) Prec@5 73.438 (81.410) Epoch: [46][1970/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 2.0246 (1.7654) Prec@1 53.906 (59.867) Prec@5 80.469 (81.408) Epoch: [46][1980/10010] Time 0.323 (0.332) Data 0.004 (0.002) Loss 1.6128 (1.7659) Prec@1 64.062 (59.855) Prec@5 81.250 (81.404) Epoch: [46][1990/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.7075 (1.7658) Prec@1 57.031 (59.859) Prec@5 82.812 (81.403) Epoch: [46][2000/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.7535 (1.7656) Prec@1 57.812 (59.865) Prec@5 78.906 (81.406) Epoch: [46][2010/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.9191 (1.7657) Prec@1 56.250 (59.864) Prec@5 75.000 (81.407) Epoch: [46][2020/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 1.7141 (1.7659) Prec@1 66.406 (59.859) Prec@5 82.812 (81.404) Epoch: [46][2030/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 1.9279 (1.7662) Prec@1 53.125 (59.850) Prec@5 80.469 (81.394) Epoch: [46][2040/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.6268 (1.7658) Prec@1 64.844 (59.857) Prec@5 83.594 (81.403) Epoch: [46][2050/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 1.7631 (1.7660) Prec@1 61.719 (59.851) Prec@5 80.469 (81.397) Epoch: [46][2060/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.7962 (1.7663) Prec@1 56.250 (59.847) Prec@5 82.812 (81.386) Epoch: [46][2070/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 1.7782 (1.7665) Prec@1 57.812 (59.847) Prec@5 82.031 (81.382) Epoch: [46][2080/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 2.0332 (1.7664) Prec@1 58.594 (59.845) Prec@5 77.344 (81.386) Epoch: [46][2090/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.7877 (1.7665) Prec@1 58.594 (59.840) Prec@5 82.812 (81.385) Epoch: [46][2100/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 1.7285 (1.7661) Prec@1 55.469 (59.848) Prec@5 80.469 (81.389) Epoch: [46][2110/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.7945 (1.7666) Prec@1 58.594 (59.835) Prec@5 78.906 (81.381) Epoch: [46][2120/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.6988 (1.7662) Prec@1 61.719 (59.848) Prec@5 82.812 (81.385) Epoch: [46][2130/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 1.7186 (1.7664) Prec@1 60.156 (59.840) Prec@5 85.938 (81.384) Epoch: [46][2140/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.2846 (1.7665) Prec@1 51.562 (59.840) Prec@5 72.656 (81.381) Epoch: [46][2150/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.0659 (1.7669) Prec@1 56.250 (59.840) Prec@5 78.125 (81.375) Epoch: [46][2160/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.6014 (1.7672) Prec@1 60.156 (59.833) Prec@5 85.156 (81.369) Epoch: [46][2170/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.6973 (1.7667) Prec@1 61.719 (59.842) Prec@5 77.344 (81.376) Epoch: [46][2180/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7800 (1.7665) Prec@1 58.594 (59.842) Prec@5 82.812 (81.377) Epoch: [46][2190/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.7519 (1.7666) Prec@1 56.250 (59.834) Prec@5 84.375 (81.381) Epoch: [46][2200/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8974 (1.7667) Prec@1 55.469 (59.829) Prec@5 78.125 (81.378) Epoch: [46][2210/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.7720 (1.7664) Prec@1 64.062 (59.837) Prec@5 79.688 (81.381) Epoch: [46][2220/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.6833 (1.7668) Prec@1 60.156 (59.832) Prec@5 82.812 (81.378) Epoch: [46][2230/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.9939 (1.7670) Prec@1 55.469 (59.824) Prec@5 75.781 (81.373) Epoch: [46][2240/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.8451 (1.7674) Prec@1 60.156 (59.820) Prec@5 80.469 (81.366) Epoch: [46][2250/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.7986 (1.7676) Prec@1 56.250 (59.814) Prec@5 81.250 (81.361) Epoch: [46][2260/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.8561 (1.7676) Prec@1 57.812 (59.813) Prec@5 78.125 (81.363) Epoch: [46][2270/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6396 (1.7676) Prec@1 64.844 (59.808) Prec@5 82.031 (81.362) Epoch: [46][2280/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.8036 (1.7675) Prec@1 57.031 (59.809) Prec@5 81.250 (81.361) Epoch: [46][2290/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.9441 (1.7676) Prec@1 54.688 (59.806) Prec@5 78.906 (81.355) Epoch: [46][2300/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.3969 (1.7674) Prec@1 64.844 (59.808) Prec@5 87.500 (81.360) Epoch: [46][2310/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.4735 (1.7673) Prec@1 64.844 (59.811) Prec@5 83.594 (81.367) Epoch: [46][2320/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 2.0051 (1.7680) Prec@1 51.562 (59.793) Prec@5 79.688 (81.357) Epoch: [46][2330/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8166 (1.7678) Prec@1 57.812 (59.797) Prec@5 85.156 (81.361) Epoch: [46][2340/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.1136 (1.7679) Prec@1 53.906 (59.794) Prec@5 76.562 (81.358) Epoch: [46][2350/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.1661 (1.7679) Prec@1 53.906 (59.798) Prec@5 75.781 (81.359) Epoch: [46][2360/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 2.0209 (1.7683) Prec@1 56.250 (59.788) Prec@5 75.781 (81.352) Epoch: [46][2370/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.6795 (1.7685) Prec@1 60.156 (59.784) Prec@5 84.375 (81.353) Epoch: [46][2380/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.4227 (1.7684) Prec@1 71.094 (59.789) Prec@5 85.156 (81.356) Epoch: [46][2390/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8599 (1.7685) Prec@1 57.031 (59.789) Prec@5 82.031 (81.356) Epoch: [46][2400/10010] Time 0.331 (0.332) Data 0.000 (0.002) Loss 1.6825 (1.7685) Prec@1 58.594 (59.790) Prec@5 87.500 (81.355) Epoch: [46][2410/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7609 (1.7680) Prec@1 61.719 (59.795) Prec@5 80.469 (81.358) Epoch: [46][2420/10010] Time 0.315 (0.332) Data 0.001 (0.002) Loss 1.6475 (1.7681) Prec@1 62.500 (59.793) Prec@5 82.031 (81.354) Epoch: [46][2430/10010] Time 0.324 (0.332) Data 0.003 (0.002) Loss 2.0829 (1.7682) Prec@1 52.344 (59.789) Prec@5 75.000 (81.353) Epoch: [46][2440/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8035 (1.7682) Prec@1 58.594 (59.788) Prec@5 82.812 (81.355) Epoch: [46][2450/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.8063 (1.7682) Prec@1 60.156 (59.792) Prec@5 78.125 (81.352) Epoch: [46][2460/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.9860 (1.7685) Prec@1 53.906 (59.794) Prec@5 77.344 (81.347) Epoch: [46][2470/10010] Time 0.321 (0.332) Data 0.000 (0.002) Loss 2.1116 (1.7689) Prec@1 53.906 (59.788) Prec@5 75.781 (81.336) Epoch: [46][2480/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.8645 (1.7691) Prec@1 55.469 (59.787) Prec@5 81.250 (81.335) Epoch: [46][2490/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.7095 (1.7694) Prec@1 57.812 (59.778) Prec@5 82.031 (81.335) Epoch: [46][2500/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.8334 (1.7696) Prec@1 56.250 (59.773) Prec@5 80.469 (81.328) Epoch: [46][2510/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.7247 (1.7696) Prec@1 59.375 (59.774) Prec@5 84.375 (81.329) Epoch: [46][2520/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.9438 (1.7699) Prec@1 59.375 (59.765) Prec@5 75.000 (81.323) Epoch: [46][2530/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.7225 (1.7703) Prec@1 64.844 (59.761) Prec@5 80.469 (81.317) Epoch: [46][2540/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.6569 (1.7698) Prec@1 63.281 (59.769) Prec@5 85.156 (81.328) Epoch: [46][2550/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.6006 (1.7698) Prec@1 60.156 (59.772) Prec@5 86.719 (81.333) Epoch: [46][2560/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.6651 (1.7700) Prec@1 64.062 (59.766) Prec@5 82.031 (81.328) Epoch: [46][2570/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.4546 (1.7701) Prec@1 62.500 (59.764) Prec@5 87.500 (81.327) Epoch: [46][2580/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.9201 (1.7703) Prec@1 57.812 (59.757) Prec@5 75.000 (81.325) Epoch: [46][2590/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 2.0690 (1.7704) Prec@1 50.781 (59.752) Prec@5 78.906 (81.321) Epoch: [46][2600/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.7079 (1.7705) Prec@1 58.594 (59.749) Prec@5 85.156 (81.322) Epoch: [46][2610/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8068 (1.7709) Prec@1 60.938 (59.741) Prec@5 82.031 (81.318) Epoch: [46][2620/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.9681 (1.7709) Prec@1 56.250 (59.744) Prec@5 78.125 (81.318) Epoch: [46][2630/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.5402 (1.7709) Prec@1 60.938 (59.741) Prec@5 86.719 (81.317) Epoch: [46][2640/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.7232 (1.7707) Prec@1 57.812 (59.739) Prec@5 82.812 (81.320) Epoch: [46][2650/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9575 (1.7709) Prec@1 56.250 (59.734) Prec@5 77.344 (81.318) Epoch: [46][2660/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.7334 (1.7709) Prec@1 57.812 (59.733) Prec@5 81.250 (81.318) Epoch: [46][2670/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.9708 (1.7710) Prec@1 59.375 (59.738) Prec@5 75.781 (81.318) Epoch: [46][2680/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.6860 (1.7710) Prec@1 57.031 (59.731) Prec@5 83.594 (81.315) Epoch: [46][2690/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.8514 (1.7709) Prec@1 50.781 (59.727) Prec@5 77.344 (81.316) Epoch: [46][2700/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.9112 (1.7705) Prec@1 58.594 (59.732) Prec@5 80.469 (81.321) Epoch: [46][2710/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.7422 (1.7707) Prec@1 63.281 (59.729) Prec@5 81.250 (81.320) Epoch: [46][2720/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.6474 (1.7706) Prec@1 60.938 (59.732) Prec@5 85.938 (81.322) Epoch: [46][2730/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.4596 (1.7700) Prec@1 63.281 (59.743) Prec@5 85.938 (81.327) Epoch: [46][2740/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.7201 (1.7699) Prec@1 60.938 (59.741) Prec@5 81.250 (81.328) Epoch: [46][2750/10010] Time 0.319 (0.332) Data 0.000 (0.002) Loss 2.0632 (1.7703) Prec@1 56.250 (59.733) Prec@5 79.688 (81.323) Epoch: [46][2760/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.0969 (1.7703) Prec@1 47.656 (59.732) Prec@5 76.562 (81.322) Epoch: [46][2770/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.0894 (1.7704) Prec@1 48.438 (59.722) Prec@5 72.656 (81.319) Epoch: [46][2780/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.3630 (1.7704) Prec@1 68.750 (59.727) Prec@5 84.375 (81.316) Epoch: [46][2790/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.6953 (1.7703) Prec@1 59.375 (59.732) Prec@5 83.594 (81.314) Epoch: [46][2800/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.4576 (1.7705) Prec@1 68.750 (59.731) Prec@5 86.719 (81.315) Epoch: [46][2810/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8195 (1.7705) Prec@1 57.031 (59.726) Prec@5 82.031 (81.313) Epoch: [46][2820/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.7561 (1.7709) Prec@1 56.250 (59.713) Prec@5 82.031 (81.306) Epoch: [46][2830/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.5956 (1.7708) Prec@1 65.625 (59.718) Prec@5 80.469 (81.302) Epoch: [46][2840/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.6511 (1.7709) Prec@1 62.500 (59.713) Prec@5 80.469 (81.297) Epoch: [46][2850/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7470 (1.7713) Prec@1 67.969 (59.712) Prec@5 82.031 (81.295) Epoch: [46][2860/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 2.2463 (1.7717) Prec@1 48.438 (59.702) Prec@5 73.438 (81.291) Epoch: [46][2870/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7656 (1.7719) Prec@1 57.031 (59.696) Prec@5 83.594 (81.291) Epoch: [46][2880/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.0042 (1.7723) Prec@1 53.906 (59.688) Prec@5 76.562 (81.282) Epoch: [46][2890/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.6878 (1.7720) Prec@1 60.938 (59.692) Prec@5 82.812 (81.290) Epoch: [46][2900/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8890 (1.7719) Prec@1 60.938 (59.695) Prec@5 80.469 (81.294) Epoch: [46][2910/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7967 (1.7716) Prec@1 59.375 (59.704) Prec@5 81.250 (81.298) Epoch: [46][2920/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 1.5469 (1.7717) Prec@1 62.500 (59.704) Prec@5 85.938 (81.298) Epoch: [46][2930/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8709 (1.7715) Prec@1 53.906 (59.707) Prec@5 81.250 (81.303) Epoch: [46][2940/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.0983 (1.7720) Prec@1 48.438 (59.696) Prec@5 78.125 (81.297) Epoch: [46][2950/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.2090 (1.7724) Prec@1 55.469 (59.687) Prec@5 71.875 (81.293) Epoch: [46][2960/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8151 (1.7724) Prec@1 60.156 (59.684) Prec@5 79.688 (81.294) Epoch: [46][2970/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7908 (1.7724) Prec@1 56.250 (59.686) Prec@5 78.125 (81.290) Epoch: [46][2980/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8583 (1.7727) Prec@1 54.688 (59.680) Prec@5 82.031 (81.284) Epoch: [46][2990/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6229 (1.7726) Prec@1 60.938 (59.677) Prec@5 85.938 (81.282) Epoch: [46][3000/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7206 (1.7724) Prec@1 60.938 (59.686) Prec@5 82.031 (81.289) Epoch: [46][3010/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9504 (1.7724) Prec@1 60.938 (59.684) Prec@5 78.906 (81.292) Epoch: [46][3020/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7293 (1.7725) Prec@1 60.156 (59.679) Prec@5 84.375 (81.291) Epoch: [46][3030/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7118 (1.7724) Prec@1 60.938 (59.680) Prec@5 82.031 (81.294) Epoch: [46][3040/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.5023 (1.7721) Prec@1 64.062 (59.680) Prec@5 82.031 (81.300) Epoch: [46][3050/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0115 (1.7718) Prec@1 53.906 (59.687) Prec@5 75.781 (81.302) Epoch: [46][3060/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6771 (1.7717) Prec@1 56.250 (59.688) Prec@5 83.594 (81.305) Epoch: [46][3070/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7197 (1.7717) Prec@1 64.062 (59.687) Prec@5 82.031 (81.307) Epoch: [46][3080/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7194 (1.7718) Prec@1 55.469 (59.688) Prec@5 79.688 (81.304) Epoch: [46][3090/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9832 (1.7719) Prec@1 56.250 (59.686) Prec@5 80.469 (81.303) Epoch: [46][3100/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8531 (1.7719) Prec@1 59.375 (59.686) Prec@5 81.250 (81.305) Epoch: [46][3110/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6511 (1.7718) Prec@1 66.406 (59.687) Prec@5 83.594 (81.309) Epoch: [46][3120/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9104 (1.7716) Prec@1 59.375 (59.691) Prec@5 79.688 (81.308) Epoch: [46][3130/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6488 (1.7718) Prec@1 58.594 (59.689) Prec@5 82.031 (81.304) Epoch: [46][3140/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7923 (1.7719) Prec@1 57.812 (59.687) Prec@5 84.375 (81.302) Epoch: [46][3150/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8017 (1.7720) Prec@1 60.938 (59.685) Prec@5 80.469 (81.300) Epoch: [46][3160/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.3012 (1.7718) Prec@1 51.562 (59.690) Prec@5 74.219 (81.303) Epoch: [46][3170/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9191 (1.7723) Prec@1 60.938 (59.683) Prec@5 75.000 (81.295) Epoch: [46][3180/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8656 (1.7724) Prec@1 58.594 (59.680) Prec@5 78.125 (81.293) Epoch: [46][3190/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6441 (1.7724) Prec@1 64.062 (59.682) Prec@5 83.594 (81.298) Epoch: [46][3200/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7783 (1.7726) Prec@1 59.375 (59.675) Prec@5 80.469 (81.297) Epoch: [46][3210/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8807 (1.7727) Prec@1 53.906 (59.671) Prec@5 84.375 (81.299) Epoch: [46][3220/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.9103 (1.7728) Prec@1 58.594 (59.669) Prec@5 78.906 (81.297) Epoch: [46][3230/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7026 (1.7728) Prec@1 64.062 (59.675) Prec@5 82.031 (81.295) Epoch: [46][3240/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8275 (1.7728) Prec@1 58.594 (59.672) Prec@5 81.250 (81.295) Epoch: [46][3250/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8710 (1.7731) Prec@1 56.250 (59.666) Prec@5 78.906 (81.292) Epoch: [46][3260/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6815 (1.7732) Prec@1 60.938 (59.665) Prec@5 81.250 (81.293) Epoch: [46][3270/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5391 (1.7731) Prec@1 66.406 (59.666) Prec@5 83.594 (81.293) Epoch: [46][3280/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.2684 (1.7729) Prec@1 67.969 (59.668) Prec@5 89.844 (81.298) Epoch: [46][3290/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7928 (1.7730) Prec@1 57.812 (59.667) Prec@5 81.250 (81.296) Epoch: [46][3300/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8089 (1.7730) Prec@1 62.500 (59.671) Prec@5 82.812 (81.297) Epoch: [46][3310/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8347 (1.7730) Prec@1 57.812 (59.673) Prec@5 79.688 (81.296) Epoch: [46][3320/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.5812 (1.7728) Prec@1 64.844 (59.679) Prec@5 82.031 (81.297) Epoch: [46][3330/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7103 (1.7726) Prec@1 61.719 (59.682) Prec@5 82.812 (81.302) Epoch: [46][3340/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8133 (1.7730) Prec@1 59.375 (59.676) Prec@5 81.250 (81.298) Epoch: [46][3350/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.9142 (1.7730) Prec@1 53.125 (59.679) Prec@5 78.125 (81.296) Epoch: [46][3360/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.5712 (1.7727) Prec@1 61.719 (59.686) Prec@5 82.031 (81.301) Epoch: [46][3370/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7160 (1.7727) Prec@1 61.719 (59.686) Prec@5 80.469 (81.297) Epoch: [46][3380/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7528 (1.7725) Prec@1 56.250 (59.691) Prec@5 83.594 (81.301) Epoch: [46][3390/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.8270 (1.7726) Prec@1 57.031 (59.688) Prec@5 81.250 (81.299) Epoch: [46][3400/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7169 (1.7726) Prec@1 69.531 (59.693) Prec@5 82.812 (81.302) Epoch: [46][3410/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.0127 (1.7727) Prec@1 53.906 (59.685) Prec@5 79.688 (81.301) Epoch: [46][3420/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5516 (1.7727) Prec@1 57.031 (59.684) Prec@5 86.719 (81.304) Epoch: [46][3430/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8764 (1.7726) Prec@1 56.250 (59.687) Prec@5 80.469 (81.304) Epoch: [46][3440/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0435 (1.7728) Prec@1 57.031 (59.684) Prec@5 74.219 (81.304) Epoch: [46][3450/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9737 (1.7730) Prec@1 54.688 (59.681) Prec@5 77.344 (81.303) Epoch: [46][3460/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7461 (1.7730) Prec@1 60.938 (59.682) Prec@5 84.375 (81.305) Epoch: [46][3470/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.6600 (1.7729) Prec@1 67.969 (59.680) Prec@5 82.031 (81.307) Epoch: [46][3480/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.5848 (1.7727) Prec@1 60.156 (59.680) Prec@5 83.594 (81.311) Epoch: [46][3490/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9110 (1.7729) Prec@1 53.125 (59.675) Prec@5 75.781 (81.307) Epoch: [46][3500/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5978 (1.7732) Prec@1 61.719 (59.670) Prec@5 84.375 (81.302) Epoch: [46][3510/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7317 (1.7733) Prec@1 54.688 (59.664) Prec@5 81.250 (81.298) Epoch: [46][3520/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0019 (1.7735) Prec@1 60.156 (59.661) Prec@5 75.781 (81.294) Epoch: [46][3530/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6664 (1.7736) Prec@1 58.594 (59.654) Prec@5 82.812 (81.287) Epoch: [46][3540/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6615 (1.7737) Prec@1 59.375 (59.651) Prec@5 84.375 (81.288) Epoch: [46][3550/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0402 (1.7737) Prec@1 53.906 (59.652) Prec@5 75.781 (81.289) Epoch: [46][3560/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9544 (1.7738) Prec@1 55.469 (59.649) Prec@5 80.469 (81.288) Epoch: [46][3570/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6058 (1.7738) Prec@1 61.719 (59.650) Prec@5 85.156 (81.289) Epoch: [46][3580/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.4457 (1.7737) Prec@1 67.969 (59.652) Prec@5 85.938 (81.291) Epoch: [46][3590/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.0119 (1.7739) Prec@1 56.250 (59.648) Prec@5 75.781 (81.288) Epoch: [46][3600/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8750 (1.7741) Prec@1 55.469 (59.645) Prec@5 76.562 (81.284) Epoch: [46][3610/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7029 (1.7742) Prec@1 60.156 (59.643) Prec@5 82.812 (81.285) Epoch: [46][3620/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8123 (1.7742) Prec@1 54.688 (59.641) Prec@5 79.688 (81.286) Epoch: [46][3630/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9902 (1.7744) Prec@1 54.688 (59.635) Prec@5 78.906 (81.284) Epoch: [46][3640/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7668 (1.7742) Prec@1 55.469 (59.638) Prec@5 80.469 (81.284) Epoch: [46][3650/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8525 (1.7743) Prec@1 61.719 (59.637) Prec@5 81.250 (81.282) Epoch: [46][3660/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6275 (1.7742) Prec@1 63.281 (59.640) Prec@5 82.812 (81.285) Epoch: [46][3670/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9607 (1.7742) Prec@1 56.250 (59.638) Prec@5 78.125 (81.287) Epoch: [46][3680/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.5494 (1.7743) Prec@1 60.938 (59.636) Prec@5 86.719 (81.286) Epoch: [46][3690/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5583 (1.7744) Prec@1 64.844 (59.635) Prec@5 82.812 (81.283) Epoch: [46][3700/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7665 (1.7745) Prec@1 64.062 (59.635) Prec@5 76.562 (81.281) Epoch: [46][3710/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7214 (1.7745) Prec@1 64.062 (59.642) Prec@5 80.469 (81.279) Epoch: [46][3720/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8071 (1.7745) Prec@1 60.938 (59.643) Prec@5 82.812 (81.276) /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][3730/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8918 (1.7745) Prec@1 59.375 (59.644) Prec@5 82.812 (81.274) Epoch: [46][3740/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8132 (1.7748) Prec@1 57.031 (59.636) Prec@5 81.250 (81.270) Epoch: [46][3750/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6611 (1.7750) Prec@1 62.500 (59.632) Prec@5 83.594 (81.268) Epoch: [46][3760/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9126 (1.7749) Prec@1 60.938 (59.636) Prec@5 76.562 (81.267) Epoch: [46][3770/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8012 (1.7749) Prec@1 57.031 (59.635) Prec@5 79.688 (81.269) Epoch: [46][3780/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.7614 (1.7751) Prec@1 59.375 (59.632) Prec@5 81.250 (81.267) Epoch: [46][3790/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8558 (1.7751) Prec@1 55.469 (59.631) Prec@5 78.906 (81.266) Epoch: [46][3800/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.6652 (1.7752) Prec@1 62.500 (59.630) Prec@5 82.031 (81.260) Epoch: [46][3810/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8045 (1.7754) Prec@1 60.938 (59.628) Prec@5 79.688 (81.256) Epoch: [46][3820/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6710 (1.7754) Prec@1 56.250 (59.630) Prec@5 79.688 (81.259) Epoch: [46][3830/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8032 (1.7758) Prec@1 57.812 (59.621) Prec@5 80.469 (81.251) Epoch: [46][3840/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0440 (1.7757) Prec@1 55.469 (59.627) Prec@5 78.906 (81.253) Epoch: [46][3850/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8875 (1.7757) Prec@1 60.156 (59.623) Prec@5 80.469 (81.255) Epoch: [46][3860/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.9619 (1.7759) Prec@1 59.375 (59.618) Prec@5 80.469 (81.253) Epoch: [46][3870/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7819 (1.7763) Prec@1 54.688 (59.608) Prec@5 79.688 (81.245) Epoch: [46][3880/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.9011 (1.7764) Prec@1 57.812 (59.608) Prec@5 82.031 (81.244) Epoch: [46][3890/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5907 (1.7765) Prec@1 60.938 (59.605) Prec@5 81.250 (81.241) Epoch: [46][3900/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8284 (1.7767) Prec@1 58.594 (59.604) Prec@5 80.469 (81.237) Epoch: [46][3910/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9421 (1.7766) Prec@1 58.594 (59.602) Prec@5 78.125 (81.241) Epoch: [46][3920/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7726 (1.7766) Prec@1 60.938 (59.603) Prec@5 81.250 (81.241) Epoch: [46][3930/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.0850 (1.7767) Prec@1 55.469 (59.599) Prec@5 75.781 (81.240) Epoch: [46][3940/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8085 (1.7767) Prec@1 59.375 (59.598) Prec@5 78.906 (81.237) Epoch: [46][3950/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7629 (1.7769) Prec@1 58.594 (59.594) Prec@5 77.344 (81.234) Epoch: [46][3960/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.2935 (1.7770) Prec@1 53.906 (59.595) Prec@5 72.656 (81.237) Epoch: [46][3970/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8924 (1.7770) Prec@1 56.250 (59.595) Prec@5 80.469 (81.236) Epoch: [46][3980/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.1684 (1.7772) Prec@1 51.562 (59.584) Prec@5 74.219 (81.233) Epoch: [46][3990/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9498 (1.7773) Prec@1 53.125 (59.582) Prec@5 80.469 (81.231) Epoch: [46][4000/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6505 (1.7772) Prec@1 62.500 (59.583) Prec@5 82.031 (81.231) Epoch: [46][4010/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7993 (1.7772) Prec@1 53.906 (59.580) Prec@5 82.031 (81.232) Epoch: [46][4020/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.9849 (1.7771) Prec@1 60.938 (59.580) Prec@5 80.469 (81.232) Epoch: [46][4030/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6869 (1.7771) Prec@1 60.156 (59.578) Prec@5 82.812 (81.233) Epoch: [46][4040/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7791 (1.7771) Prec@1 56.250 (59.576) Prec@5 81.250 (81.235) Epoch: [46][4050/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6519 (1.7771) Prec@1 67.188 (59.573) Prec@5 80.469 (81.232) Epoch: [46][4060/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7117 (1.7771) Prec@1 63.281 (59.577) Prec@5 82.031 (81.230) Epoch: [46][4070/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.6538 (1.7773) Prec@1 64.062 (59.573) Prec@5 84.375 (81.228) Epoch: [46][4080/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6499 (1.7771) Prec@1 64.062 (59.581) Prec@5 87.500 (81.231) Epoch: [46][4090/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7635 (1.7772) Prec@1 57.031 (59.577) Prec@5 80.469 (81.229) Epoch: [46][4100/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.2448 (1.7773) Prec@1 50.000 (59.572) Prec@5 75.781 (81.227) Epoch: [46][4110/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.0585 (1.7773) Prec@1 53.906 (59.571) Prec@5 74.219 (81.225) Epoch: [46][4120/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.1028 (1.7775) Prec@1 53.906 (59.568) Prec@5 77.344 (81.226) Epoch: [46][4130/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8440 (1.7775) Prec@1 60.938 (59.570) Prec@5 85.156 (81.226) Epoch: [46][4140/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.9315 (1.7775) Prec@1 59.375 (59.573) Prec@5 76.562 (81.228) Epoch: [46][4150/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5794 (1.7772) Prec@1 64.844 (59.581) Prec@5 83.594 (81.233) Epoch: [46][4160/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.5812 (1.7772) Prec@1 67.969 (59.580) Prec@5 83.594 (81.235) Epoch: [46][4170/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7400 (1.7769) Prec@1 64.844 (59.585) Prec@5 79.688 (81.239) Epoch: [46][4180/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9061 (1.7772) Prec@1 59.375 (59.584) Prec@5 78.906 (81.237) Epoch: [46][4190/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8349 (1.7773) Prec@1 60.156 (59.579) Prec@5 78.125 (81.234) Epoch: [46][4200/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6883 (1.7774) Prec@1 64.062 (59.577) Prec@5 83.594 (81.231) Epoch: [46][4210/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.4765 (1.7776) Prec@1 61.719 (59.574) Prec@5 84.375 (81.228) Epoch: [46][4220/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9512 (1.7779) Prec@1 56.250 (59.567) Prec@5 81.250 (81.224) Epoch: [46][4230/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9455 (1.7781) Prec@1 53.906 (59.563) Prec@5 75.000 (81.223) Epoch: [46][4240/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7977 (1.7781) Prec@1 57.812 (59.565) Prec@5 84.375 (81.223) Epoch: [46][4250/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6679 (1.7781) Prec@1 65.625 (59.565) Prec@5 79.688 (81.219) Epoch: [46][4260/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.4360 (1.7780) Prec@1 66.406 (59.567) Prec@5 86.719 (81.224) Epoch: [46][4270/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.0042 (1.7783) Prec@1 52.344 (59.562) Prec@5 79.688 (81.222) Epoch: [46][4280/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9037 (1.7783) Prec@1 59.375 (59.562) Prec@5 81.250 (81.224) Epoch: [46][4290/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.5296 (1.7783) Prec@1 68.750 (59.562) Prec@5 82.031 (81.223) Epoch: [46][4300/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.5568 (1.7783) Prec@1 62.500 (59.560) Prec@5 86.719 (81.222) Epoch: [46][4310/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.0169 (1.7783) Prec@1 54.688 (59.560) Prec@5 78.906 (81.222) Epoch: [46][4320/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.0118 (1.7785) Prec@1 51.562 (59.555) Prec@5 74.219 (81.223) Epoch: [46][4330/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8909 (1.7785) Prec@1 60.156 (59.555) Prec@5 80.469 (81.225) Epoch: [46][4340/10010] Time 0.315 (0.332) Data 0.000 (0.001) Loss 1.7720 (1.7784) Prec@1 60.156 (59.557) Prec@5 79.688 (81.225) Epoch: [46][4350/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9082 (1.7783) Prec@1 53.125 (59.553) Prec@5 78.906 (81.226) Epoch: [46][4360/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.4492 (1.7783) Prec@1 63.281 (59.550) Prec@5 84.375 (81.223) Epoch: [46][4370/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8410 (1.7786) Prec@1 58.594 (59.549) Prec@5 78.906 (81.221) Epoch: [46][4380/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7317 (1.7786) Prec@1 60.938 (59.548) Prec@5 81.250 (81.222) Epoch: [46][4390/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6724 (1.7786) Prec@1 58.594 (59.549) Prec@5 85.938 (81.223) Epoch: [46][4400/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8627 (1.7787) Prec@1 55.469 (59.546) Prec@5 78.125 (81.225) Epoch: [46][4410/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0327 (1.7789) Prec@1 58.594 (59.549) Prec@5 77.344 (81.220) Epoch: [46][4420/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.6904 (1.7790) Prec@1 60.938 (59.549) Prec@5 83.594 (81.218) Epoch: [46][4430/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.6588 (1.7790) Prec@1 56.250 (59.548) Prec@5 85.156 (81.218) Epoch: [46][4440/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0899 (1.7791) Prec@1 52.344 (59.546) Prec@5 75.781 (81.219) Epoch: [46][4450/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9075 (1.7792) Prec@1 58.594 (59.543) Prec@5 78.125 (81.215) Epoch: [46][4460/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7682 (1.7794) Prec@1 58.594 (59.542) Prec@5 78.906 (81.213) Epoch: [46][4470/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7283 (1.7794) Prec@1 57.031 (59.542) Prec@5 81.250 (81.213) Epoch: [46][4480/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.0166 (1.7796) Prec@1 57.812 (59.536) Prec@5 78.125 (81.212) Epoch: [46][4490/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9166 (1.7796) Prec@1 57.812 (59.539) Prec@5 82.031 (81.215) Epoch: [46][4500/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9407 (1.7795) Prec@1 50.781 (59.539) Prec@5 82.031 (81.213) Epoch: [46][4510/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7806 (1.7797) Prec@1 61.719 (59.534) Prec@5 79.688 (81.212) Epoch: [46][4520/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.5476 (1.7794) Prec@1 61.719 (59.536) Prec@5 83.594 (81.216) Epoch: [46][4530/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.0432 (1.7796) Prec@1 50.781 (59.531) Prec@5 78.125 (81.214) Epoch: [46][4540/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7573 (1.7797) Prec@1 60.938 (59.528) Prec@5 80.469 (81.212) Epoch: [46][4550/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.9227 (1.7797) Prec@1 57.031 (59.528) Prec@5 76.562 (81.212) Epoch: [46][4560/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.9325 (1.7796) Prec@1 56.250 (59.528) Prec@5 78.906 (81.212) Epoch: [46][4570/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6408 (1.7794) Prec@1 65.625 (59.534) Prec@5 85.156 (81.215) Epoch: [46][4580/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6737 (1.7794) Prec@1 62.500 (59.536) Prec@5 81.250 (81.212) Epoch: [46][4590/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.4458 (1.7796) Prec@1 57.812 (59.537) Prec@5 73.438 (81.208) Epoch: [46][4600/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6116 (1.7796) Prec@1 63.281 (59.536) Prec@5 84.375 (81.208) Epoch: [46][4610/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.8961 (1.7796) Prec@1 61.719 (59.539) Prec@5 78.125 (81.209) Epoch: [46][4620/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7202 (1.7796) Prec@1 64.062 (59.539) Prec@5 82.031 (81.210) Epoch: [46][4630/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9513 (1.7796) Prec@1 54.688 (59.539) Prec@5 83.594 (81.212) Epoch: [46][4640/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6993 (1.7795) Prec@1 60.156 (59.544) Prec@5 80.469 (81.216) Epoch: [46][4650/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7755 (1.7797) Prec@1 60.938 (59.538) Prec@5 79.688 (81.213) Epoch: [46][4660/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8949 (1.7796) Prec@1 58.594 (59.538) Prec@5 82.031 (81.214) Epoch: [46][4670/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6915 (1.7795) Prec@1 65.625 (59.542) Prec@5 78.906 (81.214) Epoch: [46][4680/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.9261 (1.7796) Prec@1 57.812 (59.543) Prec@5 78.906 (81.214) Epoch: [46][4690/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6375 (1.7798) Prec@1 63.281 (59.539) Prec@5 84.375 (81.211) Epoch: [46][4700/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9905 (1.7802) Prec@1 60.156 (59.531) Prec@5 79.688 (81.204) Epoch: [46][4710/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.4650 (1.7801) Prec@1 66.406 (59.533) Prec@5 86.719 (81.207) Epoch: [46][4720/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9065 (1.7801) Prec@1 57.812 (59.534) Prec@5 78.125 (81.209) Epoch: [46][4730/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6601 (1.7802) Prec@1 66.406 (59.534) Prec@5 80.469 (81.207) Epoch: [46][4740/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.5970 (1.7801) Prec@1 61.719 (59.537) Prec@5 84.375 (81.208) Epoch: [46][4750/10010] Time 0.310 (0.332) Data 0.000 (0.001) Loss 1.8431 (1.7801) Prec@1 58.594 (59.537) Prec@5 78.125 (81.207) Epoch: [46][4760/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8825 (1.7803) Prec@1 55.469 (59.533) Prec@5 77.344 (81.201) Epoch: [46][4770/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6954 (1.7803) Prec@1 63.281 (59.531) Prec@5 82.812 (81.201) Epoch: [46][4780/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0428 (1.7805) Prec@1 55.469 (59.527) Prec@5 78.125 (81.198) Epoch: [46][4790/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6379 (1.7804) Prec@1 57.031 (59.527) Prec@5 83.594 (81.200) Epoch: [46][4800/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.0590 (1.7805) Prec@1 60.938 (59.527) Prec@5 76.562 (81.199) Epoch: [46][4810/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7617 (1.7805) Prec@1 64.062 (59.529) Prec@5 81.250 (81.198) Epoch: [46][4820/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8004 (1.7805) Prec@1 59.375 (59.531) Prec@5 81.250 (81.200) Epoch: [46][4830/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7318 (1.7806) Prec@1 60.156 (59.529) Prec@5 78.906 (81.199) Epoch: [46][4840/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9643 (1.7806) Prec@1 57.812 (59.528) Prec@5 78.125 (81.196) Epoch: [46][4850/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7784 (1.7805) Prec@1 57.031 (59.536) Prec@5 82.812 (81.197) Epoch: [46][4860/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6795 (1.7807) Prec@1 63.281 (59.533) Prec@5 81.250 (81.193) Epoch: [46][4870/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7834 (1.7810) Prec@1 56.250 (59.528) Prec@5 85.938 (81.189) Epoch: [46][4880/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5535 (1.7808) Prec@1 64.844 (59.528) Prec@5 82.812 (81.192) Epoch: [46][4890/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.5193 (1.7810) Prec@1 65.625 (59.524) Prec@5 85.938 (81.189) Epoch: [46][4900/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6910 (1.7811) Prec@1 60.938 (59.521) Prec@5 82.812 (81.186) Epoch: [46][4910/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8664 (1.7814) Prec@1 57.812 (59.512) Prec@5 75.781 (81.180) /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][4920/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9165 (1.7812) Prec@1 59.375 (59.517) Prec@5 75.781 (81.182) Epoch: [46][4930/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8265 (1.7812) Prec@1 59.375 (59.517) Prec@5 78.125 (81.179) Epoch: [46][4940/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8676 (1.7812) Prec@1 57.031 (59.519) Prec@5 77.344 (81.176) Epoch: [46][4950/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.4550 (1.7812) Prec@1 64.062 (59.521) Prec@5 84.375 (81.176) Epoch: [46][4960/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9792 (1.7812) Prec@1 57.031 (59.519) Prec@5 75.000 (81.173) Epoch: [46][4970/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6169 (1.7810) Prec@1 63.281 (59.521) Prec@5 81.250 (81.176) Epoch: [46][4980/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8210 (1.7811) Prec@1 60.938 (59.522) Prec@5 79.688 (81.175) Epoch: [46][4990/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6363 (1.7812) Prec@1 64.062 (59.521) Prec@5 82.812 (81.174) Epoch: [46][5000/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0037 (1.7814) Prec@1 56.250 (59.519) Prec@5 77.344 (81.173) Epoch: [46][5010/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.8603 (1.7815) Prec@1 58.594 (59.516) Prec@5 81.250 (81.172) Epoch: [46][5020/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5315 (1.7815) Prec@1 64.844 (59.518) Prec@5 81.250 (81.173) Epoch: [46][5030/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7278 (1.7814) Prec@1 63.281 (59.520) Prec@5 83.594 (81.176) Epoch: [46][5040/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.3998 (1.7813) Prec@1 66.406 (59.525) Prec@5 87.500 (81.175) Epoch: [46][5050/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8991 (1.7811) Prec@1 56.250 (59.524) Prec@5 78.125 (81.178) Epoch: [46][5060/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6544 (1.7811) Prec@1 62.500 (59.526) Prec@5 82.812 (81.178) Epoch: [46][5070/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8882 (1.7811) Prec@1 58.594 (59.526) Prec@5 77.344 (81.178) Epoch: [46][5080/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9073 (1.7812) Prec@1 53.125 (59.521) Prec@5 80.469 (81.173) Epoch: [46][5090/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.5978 (1.7813) Prec@1 59.375 (59.519) Prec@5 81.250 (81.172) Epoch: [46][5100/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.6918 (1.7812) Prec@1 63.281 (59.519) Prec@5 80.469 (81.171) Epoch: [46][5110/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6443 (1.7812) Prec@1 67.188 (59.517) Prec@5 85.938 (81.174) Epoch: [46][5120/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7357 (1.7811) Prec@1 59.375 (59.517) Prec@5 79.688 (81.176) Epoch: [46][5130/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7951 (1.7811) Prec@1 53.906 (59.517) Prec@5 79.688 (81.176) Epoch: [46][5140/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8905 (1.7810) Prec@1 51.562 (59.517) Prec@5 77.344 (81.178) Epoch: [46][5150/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9425 (1.7811) Prec@1 57.812 (59.516) Prec@5 76.562 (81.176) Epoch: [46][5160/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7295 (1.7810) Prec@1 58.594 (59.518) Prec@5 81.250 (81.176) Epoch: [46][5170/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9264 (1.7811) Prec@1 57.031 (59.514) Prec@5 78.125 (81.174) /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][5180/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9326 (1.7810) Prec@1 57.812 (59.517) Prec@5 80.469 (81.175) Epoch: [46][5190/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7281 (1.7810) Prec@1 59.375 (59.519) Prec@5 79.688 (81.173) Epoch: [46][5200/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.9786 (1.7811) Prec@1 57.031 (59.517) Prec@5 77.344 (81.170) Epoch: [46][5210/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8045 (1.7812) Prec@1 63.281 (59.516) Prec@5 81.250 (81.168) Epoch: [46][5220/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.6824 (1.7813) Prec@1 64.844 (59.513) Prec@5 82.031 (81.168) Epoch: [46][5230/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9945 (1.7813) Prec@1 57.031 (59.513) Prec@5 75.781 (81.167) Epoch: [46][5240/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6904 (1.7812) Prec@1 61.719 (59.517) Prec@5 82.031 (81.168) Epoch: [46][5250/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7614 (1.7812) Prec@1 51.562 (59.515) Prec@5 82.031 (81.168) Epoch: [46][5260/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9479 (1.7813) Prec@1 54.688 (59.512) Prec@5 79.688 (81.164) Epoch: [46][5270/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.1495 (1.7813) Prec@1 48.438 (59.511) Prec@5 75.000 (81.164) Epoch: [46][5280/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6257 (1.7815) Prec@1 61.719 (59.508) Prec@5 80.469 (81.162) Epoch: [46][5290/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8385 (1.7816) Prec@1 61.719 (59.508) Prec@5 80.469 (81.160) Epoch: [46][5300/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.5014 (1.7815) Prec@1 67.969 (59.511) Prec@5 85.938 (81.160) Epoch: [46][5310/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.0965 (1.7818) Prec@1 50.000 (59.503) Prec@5 75.000 (81.155) Epoch: [46][5320/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6794 (1.7817) Prec@1 64.062 (59.502) Prec@5 79.688 (81.156) Epoch: [46][5330/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7974 (1.7817) Prec@1 61.719 (59.501) Prec@5 85.156 (81.157) Epoch: [46][5340/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7777 (1.7817) Prec@1 59.375 (59.505) Prec@5 78.906 (81.160) Epoch: [46][5350/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7159 (1.7816) Prec@1 61.719 (59.506) Prec@5 81.250 (81.162) Epoch: [46][5360/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5519 (1.7815) Prec@1 61.719 (59.506) Prec@5 85.156 (81.163) Epoch: [46][5370/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.0264 (1.7815) Prec@1 54.688 (59.503) Prec@5 75.781 (81.163) Epoch: [46][5380/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.5861 (1.7814) Prec@1 61.719 (59.503) Prec@5 81.250 (81.162) Epoch: [46][5390/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8820 (1.7815) Prec@1 58.594 (59.501) Prec@5 80.469 (81.161) Epoch: [46][5400/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8617 (1.7816) Prec@1 60.156 (59.498) Prec@5 78.906 (81.157) Epoch: [46][5410/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7821 (1.7817) Prec@1 61.719 (59.497) Prec@5 82.812 (81.154) Epoch: [46][5420/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9015 (1.7819) Prec@1 56.250 (59.493) Prec@5 76.562 (81.152) Epoch: [46][5430/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7026 (1.7821) Prec@1 59.375 (59.490) Prec@5 82.031 (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: [46][5440/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0775 (1.7822) Prec@1 56.250 (59.490) Prec@5 74.219 (81.148) Epoch: [46][5450/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9603 (1.7823) Prec@1 53.906 (59.488) Prec@5 74.219 (81.145) /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][5460/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9689 (1.7822) Prec@1 58.594 (59.489) Prec@5 76.562 (81.144) Epoch: [46][5470/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9577 (1.7824) Prec@1 58.594 (59.488) Prec@5 76.562 (81.140) Epoch: [46][5480/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.5018 (1.7824) Prec@1 66.406 (59.487) Prec@5 84.375 (81.141) Epoch: [46][5490/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9069 (1.7823) Prec@1 60.938 (59.486) Prec@5 77.344 (81.143) Epoch: [46][5500/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7957 (1.7825) Prec@1 62.500 (59.483) Prec@5 83.594 (81.142) Epoch: [46][5510/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.0212 (1.7828) Prec@1 54.688 (59.474) Prec@5 78.906 (81.137) Epoch: [46][5520/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8495 (1.7830) Prec@1 62.500 (59.472) Prec@5 78.125 (81.134) Epoch: [46][5530/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8597 (1.7831) Prec@1 53.906 (59.471) Prec@5 79.688 (81.131) Epoch: [46][5540/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8167 (1.7831) Prec@1 62.500 (59.471) Prec@5 81.250 (81.130) Epoch: [46][5550/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7220 (1.7832) Prec@1 58.594 (59.471) Prec@5 81.250 (81.129) Epoch: [46][5560/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8924 (1.7832) Prec@1 64.062 (59.472) Prec@5 80.469 (81.130) Epoch: [46][5570/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9303 (1.7834) Prec@1 57.812 (59.469) Prec@5 78.125 (81.124) Epoch: [46][5580/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6112 (1.7835) Prec@1 60.156 (59.466) Prec@5 84.375 (81.124) Epoch: [46][5590/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.9670 (1.7836) Prec@1 61.719 (59.463) Prec@5 74.219 (81.122) Epoch: [46][5600/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.0343 (1.7837) Prec@1 53.125 (59.463) Prec@5 73.438 (81.120) Epoch: [46][5610/10010] Time 0.325 (0.332) Data 0.003 (0.001) Loss 1.8042 (1.7836) Prec@1 52.344 (59.461) Prec@5 82.812 (81.121) Epoch: [46][5620/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6562 (1.7838) Prec@1 63.281 (59.456) Prec@5 82.031 (81.119) Epoch: [46][5630/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7511 (1.7837) Prec@1 58.594 (59.455) Prec@5 82.031 (81.118) Epoch: [46][5640/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6878 (1.7839) Prec@1 57.031 (59.450) Prec@5 82.812 (81.113) Epoch: [46][5650/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 2.0391 (1.7840) Prec@1 53.125 (59.448) Prec@5 76.562 (81.112) Epoch: [46][5660/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8064 (1.7841) Prec@1 55.469 (59.447) Prec@5 81.250 (81.110) Epoch: [46][5670/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8076 (1.7840) Prec@1 56.250 (59.449) Prec@5 82.812 (81.112) Epoch: [46][5680/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.7549 (1.7840) Prec@1 58.594 (59.449) Prec@5 82.031 (81.111) Epoch: [46][5690/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7714 (1.7841) Prec@1 57.812 (59.446) Prec@5 83.594 (81.111) Epoch: [46][5700/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7222 (1.7842) Prec@1 60.156 (59.442) Prec@5 85.156 (81.108) Epoch: [46][5710/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6963 (1.7842) Prec@1 61.719 (59.444) Prec@5 86.719 (81.109) Epoch: [46][5720/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6941 (1.7842) Prec@1 59.375 (59.446) Prec@5 82.031 (81.109) Epoch: [46][5730/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8722 (1.7843) Prec@1 54.688 (59.444) Prec@5 81.250 (81.107) Epoch: [46][5740/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.5476 (1.7843) Prec@1 60.938 (59.444) Prec@5 88.281 (81.108) Epoch: [46][5750/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7921 (1.7844) Prec@1 59.375 (59.444) Prec@5 82.031 (81.106) Epoch: [46][5760/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9989 (1.7845) Prec@1 53.906 (59.441) Prec@5 77.344 (81.106) Epoch: [46][5770/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9643 (1.7845) Prec@1 55.469 (59.440) Prec@5 77.344 (81.104) Epoch: [46][5780/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7748 (1.7845) Prec@1 60.156 (59.440) Prec@5 79.688 (81.102) Epoch: [46][5790/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8275 (1.7846) Prec@1 64.844 (59.440) Prec@5 80.469 (81.100) Epoch: [46][5800/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.6985 (1.7846) Prec@1 63.281 (59.439) Prec@5 82.812 (81.100) Epoch: [46][5810/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7340 (1.7846) Prec@1 60.156 (59.438) Prec@5 81.250 (81.101) Epoch: [46][5820/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.5370 (1.7846) Prec@1 65.625 (59.439) Prec@5 84.375 (81.103) Epoch: [46][5830/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7003 (1.7845) Prec@1 63.281 (59.440) Prec@5 82.031 (81.103) Epoch: [46][5840/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7603 (1.7844) Prec@1 60.156 (59.441) Prec@5 79.688 (81.103) Epoch: [46][5850/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7344 (1.7845) Prec@1 63.281 (59.441) Prec@5 84.375 (81.104) Epoch: [46][5860/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.8977 (1.7846) Prec@1 55.469 (59.439) Prec@5 78.906 (81.102) Epoch: [46][5870/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.9961 (1.7847) Prec@1 63.281 (59.439) Prec@5 78.906 (81.099) Epoch: [46][5880/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8806 (1.7847) Prec@1 59.375 (59.438) Prec@5 75.000 (81.098) Epoch: [46][5890/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6875 (1.7847) Prec@1 63.281 (59.435) Prec@5 83.594 (81.098) Epoch: [46][5900/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7474 (1.7849) Prec@1 54.688 (59.429) Prec@5 78.125 (81.095) Epoch: [46][5910/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7048 (1.7849) Prec@1 59.375 (59.428) Prec@5 81.250 (81.097) Epoch: [46][5920/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0755 (1.7849) Prec@1 57.812 (59.427) Prec@5 78.125 (81.096) Epoch: [46][5930/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6011 (1.7850) Prec@1 65.625 (59.425) Prec@5 84.375 (81.095) Epoch: [46][5940/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9414 (1.7850) Prec@1 57.031 (59.425) Prec@5 78.906 (81.094) Epoch: [46][5950/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.5748 (1.7849) Prec@1 61.719 (59.427) Prec@5 83.594 (81.095) Epoch: [46][5960/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8983 (1.7850) Prec@1 55.469 (59.425) Prec@5 79.688 (81.094) Epoch: [46][5970/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6241 (1.7850) Prec@1 63.281 (59.425) Prec@5 83.594 (81.093) Epoch: [46][5980/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8323 (1.7850) Prec@1 60.938 (59.425) Prec@5 78.906 (81.091) Epoch: [46][5990/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.4743 (1.7850) Prec@1 66.406 (59.422) Prec@5 85.938 (81.089) Epoch: [46][6000/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8952 (1.7849) Prec@1 56.250 (59.424) Prec@5 82.031 (81.090) Epoch: [46][6010/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6730 (1.7849) Prec@1 60.156 (59.423) Prec@5 83.594 (81.089) Epoch: [46][6020/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.3342 (1.7850) Prec@1 52.344 (59.420) Prec@5 74.219 (81.089) Epoch: [46][6030/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0795 (1.7851) Prec@1 49.219 (59.416) Prec@5 78.125 (81.087) Epoch: [46][6040/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.5029 (1.7852) Prec@1 62.500 (59.414) Prec@5 82.812 (81.087) Epoch: [46][6050/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.1170 (1.7853) Prec@1 52.344 (59.408) Prec@5 77.344 (81.085) Epoch: [46][6060/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6099 (1.7852) Prec@1 62.500 (59.409) Prec@5 81.250 (81.085) Epoch: [46][6070/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7873 (1.7852) Prec@1 62.500 (59.409) Prec@5 82.812 (81.087) Epoch: [46][6080/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8788 (1.7853) Prec@1 57.812 (59.408) Prec@5 79.688 (81.086) Epoch: [46][6090/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0267 (1.7854) Prec@1 56.250 (59.405) Prec@5 78.906 (81.084) Epoch: [46][6100/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7570 (1.7854) Prec@1 59.375 (59.405) Prec@5 79.688 (81.082) Epoch: [46][6110/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8043 (1.7855) Prec@1 56.250 (59.404) Prec@5 80.469 (81.080) Epoch: [46][6120/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7623 (1.7855) Prec@1 62.500 (59.407) Prec@5 78.906 (81.079) Epoch: [46][6130/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6512 (1.7855) Prec@1 63.281 (59.407) Prec@5 81.250 (81.078) Epoch: [46][6140/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.9377 (1.7857) Prec@1 57.812 (59.403) Prec@5 75.781 (81.073) Epoch: [46][6150/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9588 (1.7858) Prec@1 53.906 (59.401) Prec@5 83.594 (81.073) Epoch: [46][6160/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6859 (1.7858) Prec@1 56.250 (59.399) Prec@5 82.031 (81.073) Epoch: [46][6170/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.9402 (1.7861) Prec@1 56.250 (59.394) Prec@5 75.781 (81.068) Epoch: [46][6180/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5347 (1.7861) Prec@1 60.156 (59.394) Prec@5 86.719 (81.067) Epoch: [46][6190/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7046 (1.7860) Prec@1 60.938 (59.396) Prec@5 83.594 (81.070) Epoch: [46][6200/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8424 (1.7860) Prec@1 55.469 (59.393) Prec@5 82.031 (81.071) Epoch: [46][6210/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7673 (1.7860) Prec@1 59.375 (59.392) Prec@5 80.469 (81.071) Epoch: [46][6220/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7764 (1.7862) Prec@1 59.375 (59.391) Prec@5 81.250 (81.070) Epoch: [46][6230/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7007 (1.7862) Prec@1 64.062 (59.391) Prec@5 83.594 (81.071) Epoch: [46][6240/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.5670 (1.7860) Prec@1 67.188 (59.393) Prec@5 83.594 (81.072) Epoch: [46][6250/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7385 (1.7860) Prec@1 63.281 (59.395) Prec@5 80.469 (81.072) Epoch: [46][6260/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0309 (1.7862) Prec@1 52.344 (59.389) Prec@5 77.344 (81.068) Epoch: [46][6270/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.9496 (1.7863) Prec@1 53.906 (59.384) Prec@5 76.562 (81.067) Epoch: [46][6280/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0220 (1.7865) Prec@1 54.688 (59.381) Prec@5 77.344 (81.064) Epoch: [46][6290/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7494 (1.7865) Prec@1 62.500 (59.379) Prec@5 82.812 (81.064) Epoch: [46][6300/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.9511 (1.7865) Prec@1 55.469 (59.378) Prec@5 77.344 (81.063) Epoch: [46][6310/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.2133 (1.7866) Prec@1 51.562 (59.375) Prec@5 73.438 (81.062) Epoch: [46][6320/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7568 (1.7868) Prec@1 58.594 (59.373) Prec@5 83.594 (81.061) Epoch: [46][6330/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6928 (1.7868) Prec@1 60.938 (59.373) Prec@5 82.031 (81.062) Epoch: [46][6340/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.3435 (1.7869) Prec@1 50.781 (59.372) Prec@5 69.531 (81.061) Epoch: [46][6350/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9856 (1.7868) Prec@1 57.812 (59.377) Prec@5 82.031 (81.062) Epoch: [46][6360/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.1499 (1.7870) Prec@1 49.219 (59.374) Prec@5 75.781 (81.060) Epoch: [46][6370/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7426 (1.7870) Prec@1 62.500 (59.375) Prec@5 79.688 (81.059) Epoch: [46][6380/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8769 (1.7869) Prec@1 51.562 (59.375) Prec@5 79.688 (81.059) Epoch: [46][6390/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8543 (1.7870) Prec@1 57.812 (59.374) Prec@5 78.125 (81.055) Epoch: [46][6400/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8154 (1.7870) Prec@1 57.031 (59.374) Prec@5 82.031 (81.056) Epoch: [46][6410/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.7219 (1.7870) Prec@1 65.625 (59.373) Prec@5 81.250 (81.057) Epoch: [46][6420/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.2535 (1.7872) Prec@1 50.781 (59.372) Prec@5 73.438 (81.053) Epoch: [46][6430/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7016 (1.7873) Prec@1 60.938 (59.369) Prec@5 83.594 (81.053) Epoch: [46][6440/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7670 (1.7872) Prec@1 61.719 (59.369) Prec@5 81.250 (81.055) Epoch: [46][6450/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.6938 (1.7873) Prec@1 58.594 (59.367) Prec@5 82.031 (81.054) Epoch: [46][6460/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.0892 (1.7873) Prec@1 50.781 (59.368) Prec@5 79.688 (81.053) Epoch: [46][6470/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5499 (1.7873) Prec@1 65.625 (59.368) Prec@5 87.500 (81.056) Epoch: [46][6480/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8400 (1.7873) Prec@1 57.812 (59.367) Prec@5 78.906 (81.054) Epoch: [46][6490/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7362 (1.7874) Prec@1 57.812 (59.364) Prec@5 80.469 (81.051) Epoch: [46][6500/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.2801 (1.7875) Prec@1 49.219 (59.363) Prec@5 75.781 (81.049) Epoch: [46][6510/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8042 (1.7874) Prec@1 55.469 (59.363) Prec@5 82.031 (81.050) Epoch: [46][6520/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7637 (1.7874) Prec@1 56.250 (59.361) Prec@5 80.469 (81.051) Epoch: [46][6530/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.2358 (1.7875) Prec@1 49.219 (59.362) Prec@5 73.438 (81.050) Epoch: [46][6540/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.8609 (1.7875) Prec@1 54.688 (59.359) Prec@5 77.344 (81.049) Epoch: [46][6550/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.0974 (1.7876) Prec@1 50.000 (59.355) Prec@5 75.000 (81.048) Epoch: [46][6560/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.4842 (1.7878) Prec@1 64.062 (59.352) Prec@5 85.156 (81.047) Epoch: [46][6570/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8397 (1.7878) Prec@1 60.938 (59.352) Prec@5 78.906 (81.046) Epoch: [46][6580/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.4643 (1.7877) Prec@1 69.531 (59.353) Prec@5 82.812 (81.046) Epoch: [46][6590/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7531 (1.7876) Prec@1 57.031 (59.355) Prec@5 78.125 (81.046) Epoch: [46][6600/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.5445 (1.7876) Prec@1 63.281 (59.357) Prec@5 79.688 (81.046) Epoch: [46][6610/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9008 (1.7877) Prec@1 57.812 (59.355) Prec@5 76.562 (81.045) Epoch: [46][6620/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.5062 (1.7876) Prec@1 66.406 (59.352) Prec@5 89.062 (81.045) Epoch: [46][6630/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5926 (1.7875) Prec@1 57.812 (59.351) Prec@5 88.281 (81.048) Epoch: [46][6640/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8353 (1.7876) Prec@1 57.031 (59.350) Prec@5 81.250 (81.047) Epoch: [46][6650/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.8560 (1.7877) Prec@1 54.688 (59.347) Prec@5 75.781 (81.045) Epoch: [46][6660/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.4726 (1.7878) Prec@1 60.938 (59.346) Prec@5 87.500 (81.044) Epoch: [46][6670/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6431 (1.7880) Prec@1 61.719 (59.341) Prec@5 82.031 (81.040) Epoch: [46][6680/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5853 (1.7879) Prec@1 62.500 (59.345) Prec@5 85.156 (81.040) Epoch: [46][6690/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8127 (1.7880) Prec@1 57.031 (59.341) Prec@5 81.250 (81.038) Epoch: [46][6700/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9380 (1.7880) Prec@1 57.031 (59.341) Prec@5 80.469 (81.038) Epoch: [46][6710/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7769 (1.7880) Prec@1 57.031 (59.340) Prec@5 81.250 (81.038) Epoch: [46][6720/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6647 (1.7878) Prec@1 60.156 (59.341) Prec@5 82.812 (81.039) Epoch: [46][6730/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8175 (1.7878) Prec@1 55.469 (59.345) Prec@5 82.031 (81.042) Epoch: [46][6740/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.9014 (1.7878) Prec@1 54.688 (59.343) Prec@5 79.688 (81.041) Epoch: [46][6750/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9488 (1.7878) Prec@1 57.812 (59.344) Prec@5 79.688 (81.040) Epoch: [46][6760/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.4440 (1.7878) Prec@1 65.625 (59.343) Prec@5 87.500 (81.040) Epoch: [46][6770/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8351 (1.7879) Prec@1 55.469 (59.340) Prec@5 78.906 (81.039) Epoch: [46][6780/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8209 (1.7881) Prec@1 58.594 (59.340) Prec@5 79.688 (81.038) Epoch: [46][6790/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.4415 (1.7881) Prec@1 66.406 (59.338) Prec@5 86.719 (81.036) Epoch: [46][6800/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.2053 (1.7882) Prec@1 49.219 (59.337) Prec@5 75.781 (81.035) Epoch: [46][6810/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5496 (1.7881) Prec@1 60.156 (59.335) Prec@5 84.375 (81.036) Epoch: [46][6820/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.5002 (1.7881) Prec@1 64.062 (59.335) Prec@5 85.156 (81.035) Epoch: [46][6830/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7227 (1.7880) Prec@1 60.156 (59.338) Prec@5 79.688 (81.037) Epoch: [46][6840/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.7753 (1.7880) Prec@1 54.688 (59.338) Prec@5 82.031 (81.039) Epoch: [46][6850/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7484 (1.7880) Prec@1 57.812 (59.337) Prec@5 84.375 (81.037) Epoch: [46][6860/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5027 (1.7879) Prec@1 65.625 (59.340) Prec@5 85.156 (81.038) Epoch: [46][6870/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.1185 (1.7881) Prec@1 53.125 (59.339) Prec@5 75.000 (81.035) Epoch: [46][6880/10010] Time 0.352 (0.332) Data 0.000 (0.001) Loss 1.8389 (1.7881) Prec@1 61.719 (59.338) Prec@5 79.688 (81.032) Epoch: [46][6890/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8396 (1.7881) Prec@1 57.812 (59.340) Prec@5 84.375 (81.033) Epoch: [46][6900/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6694 (1.7880) Prec@1 62.500 (59.342) Prec@5 84.375 (81.038) Epoch: [46][6910/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7899 (1.7880) Prec@1 60.938 (59.342) Prec@5 78.906 (81.038) Epoch: [46][6920/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6834 (1.7879) Prec@1 64.062 (59.342) Prec@5 80.469 (81.039) Epoch: [46][6930/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0849 (1.7881) Prec@1 47.656 (59.339) Prec@5 78.906 (81.037) Epoch: [46][6940/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0776 (1.7880) Prec@1 61.719 (59.338) Prec@5 79.688 (81.036) Epoch: [46][6950/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7873 (1.7880) Prec@1 59.375 (59.340) Prec@5 84.375 (81.037) Epoch: [46][6960/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.5332 (1.7881) Prec@1 65.625 (59.338) Prec@5 82.031 (81.034) Epoch: [46][6970/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.5146 (1.7881) Prec@1 61.719 (59.335) Prec@5 86.719 (81.034) Epoch: [46][6980/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7961 (1.7880) Prec@1 58.594 (59.336) Prec@5 82.812 (81.036) Epoch: [46][6990/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.5845 (1.7882) Prec@1 65.625 (59.334) Prec@5 82.812 (81.032) Epoch: [46][7000/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8899 (1.7883) Prec@1 55.469 (59.333) Prec@5 78.906 (81.031) Epoch: [46][7010/10010] Time 0.331 (0.332) Data 0.003 (0.001) Loss 2.1600 (1.7884) Prec@1 55.469 (59.330) Prec@5 77.344 (81.028) Epoch: [46][7020/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8257 (1.7884) Prec@1 62.500 (59.329) Prec@5 81.250 (81.028) Epoch: [46][7030/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7925 (1.7885) Prec@1 59.375 (59.328) Prec@5 81.250 (81.026) Epoch: [46][7040/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7473 (1.7885) Prec@1 59.375 (59.329) Prec@5 78.906 (81.024) Epoch: [46][7050/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8181 (1.7886) Prec@1 60.938 (59.329) Prec@5 76.562 (81.024) Epoch: [46][7060/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7643 (1.7886) Prec@1 60.156 (59.330) Prec@5 80.469 (81.023) Epoch: [46][7070/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.4994 (1.7885) Prec@1 60.156 (59.331) Prec@5 85.156 (81.023) Epoch: [46][7080/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9375 (1.7886) Prec@1 55.469 (59.328) Prec@5 77.344 (81.023) Epoch: [46][7090/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8124 (1.7887) Prec@1 59.375 (59.326) Prec@5 80.469 (81.019) Epoch: [46][7100/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9233 (1.7888) Prec@1 55.469 (59.325) Prec@5 76.562 (81.017) Epoch: [46][7110/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.8543 (1.7887) Prec@1 60.156 (59.327) Prec@5 80.469 (81.020) Epoch: [46][7120/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6224 (1.7888) Prec@1 67.188 (59.323) Prec@5 80.469 (81.018) Epoch: [46][7130/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7717 (1.7889) Prec@1 57.031 (59.321) Prec@5 85.938 (81.018) Epoch: [46][7140/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6208 (1.7888) Prec@1 64.062 (59.323) Prec@5 88.281 (81.019) Epoch: [46][7150/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7234 (1.7888) Prec@1 60.938 (59.324) Prec@5 83.594 (81.019) Epoch: [46][7160/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.1385 (1.7889) Prec@1 54.688 (59.322) Prec@5 74.219 (81.015) Epoch: [46][7170/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.1630 (1.7889) Prec@1 61.719 (59.323) Prec@5 76.562 (81.016) Epoch: [46][7180/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9038 (1.7889) Prec@1 65.625 (59.322) Prec@5 78.906 (81.014) Epoch: [46][7190/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6480 (1.7889) Prec@1 63.281 (59.323) Prec@5 82.031 (81.015) Epoch: [46][7200/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6339 (1.7889) Prec@1 62.500 (59.323) Prec@5 81.250 (81.014) Epoch: [46][7210/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7317 (1.7890) Prec@1 59.375 (59.320) Prec@5 85.938 (81.011) Epoch: [46][7220/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.3024 (1.7890) Prec@1 53.906 (59.318) Prec@5 71.094 (81.010) Epoch: [46][7230/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7535 (1.7890) Prec@1 64.062 (59.318) Prec@5 82.812 (81.012) Epoch: [46][7240/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.4786 (1.7889) Prec@1 61.719 (59.318) Prec@5 82.812 (81.013) Epoch: [46][7250/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.9113 (1.7891) Prec@1 50.781 (59.315) Prec@5 84.375 (81.011) Epoch: [46][7260/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9350 (1.7891) Prec@1 59.375 (59.314) Prec@5 77.344 (81.008) Epoch: [46][7270/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9447 (1.7892) Prec@1 56.250 (59.312) Prec@5 75.000 (81.007) Epoch: [46][7280/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0031 (1.7893) Prec@1 53.906 (59.312) Prec@5 77.344 (81.008) Epoch: [46][7290/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.5754 (1.7894) Prec@1 63.281 (59.315) Prec@5 84.375 (81.006) Epoch: [46][7300/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.7241 (1.7894) Prec@1 60.156 (59.313) Prec@5 84.375 (81.005) Epoch: [46][7310/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.5212 (1.7893) Prec@1 67.969 (59.315) Prec@5 82.031 (81.007) Epoch: [46][7320/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8727 (1.7894) Prec@1 61.719 (59.314) Prec@5 75.781 (81.005) Epoch: [46][7330/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9149 (1.7894) Prec@1 60.938 (59.312) Prec@5 79.688 (81.004) Epoch: [46][7340/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.9696 (1.7895) Prec@1 51.562 (59.309) Prec@5 81.250 (81.003) Epoch: [46][7350/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.3756 (1.7895) Prec@1 66.406 (59.309) Prec@5 88.281 (81.003) Epoch: [46][7360/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7984 (1.7896) Prec@1 60.156 (59.309) Prec@5 78.125 (81.000) Epoch: [46][7370/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.9951 (1.7898) Prec@1 52.344 (59.303) Prec@5 80.469 (80.997) Epoch: [46][7380/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9360 (1.7899) Prec@1 55.469 (59.300) Prec@5 82.031 (80.997) Epoch: [46][7390/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7677 (1.7899) Prec@1 61.719 (59.297) Prec@5 79.688 (80.995) Epoch: [46][7400/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.9780 (1.7900) Prec@1 57.031 (59.295) Prec@5 80.469 (80.992) Epoch: [46][7410/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8667 (1.7901) Prec@1 58.594 (59.293) Prec@5 79.688 (80.990) Epoch: [46][7420/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7431 (1.7902) Prec@1 60.938 (59.293) Prec@5 81.250 (80.989) Epoch: [46][7430/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9156 (1.7902) Prec@1 53.906 (59.294) Prec@5 82.031 (80.991) Epoch: [46][7440/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9704 (1.7901) Prec@1 57.812 (59.295) Prec@5 78.906 (80.994) Epoch: [46][7450/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.9376 (1.7902) Prec@1 58.594 (59.292) Prec@5 82.031 (80.994) Epoch: [46][7460/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9719 (1.7902) Prec@1 56.250 (59.294) Prec@5 78.906 (80.994) Epoch: [46][7470/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8173 (1.7902) Prec@1 60.938 (59.292) Prec@5 82.812 (80.993) Epoch: [46][7480/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9241 (1.7903) Prec@1 54.688 (59.290) Prec@5 75.781 (80.992) Epoch: [46][7490/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8584 (1.7903) Prec@1 59.375 (59.288) Prec@5 83.594 (80.992) Epoch: [46][7500/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6870 (1.7904) Prec@1 62.500 (59.287) Prec@5 85.156 (80.991) Epoch: [46][7510/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7453 (1.7904) Prec@1 55.469 (59.286) Prec@5 79.688 (80.992) Epoch: [46][7520/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.9105 (1.7904) Prec@1 55.469 (59.286) Prec@5 76.562 (80.992) Epoch: [46][7530/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7096 (1.7903) Prec@1 62.500 (59.289) Prec@5 81.250 (80.993) Epoch: [46][7540/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8723 (1.7903) Prec@1 57.031 (59.288) Prec@5 81.250 (80.995) Epoch: [46][7550/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7738 (1.7903) Prec@1 60.156 (59.287) Prec@5 78.125 (80.995) Epoch: [46][7560/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9386 (1.7904) Prec@1 56.250 (59.284) Prec@5 78.125 (80.993) Epoch: [46][7570/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9499 (1.7905) Prec@1 56.250 (59.283) Prec@5 76.562 (80.992) Epoch: [46][7580/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6822 (1.7906) Prec@1 63.281 (59.280) Prec@5 84.375 (80.991) Epoch: [46][7590/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8137 (1.7906) Prec@1 59.375 (59.284) Prec@5 82.031 (80.991) Epoch: [46][7600/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9226 (1.7906) Prec@1 54.688 (59.284) Prec@5 77.344 (80.990) Epoch: [46][7610/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6917 (1.7906) Prec@1 61.719 (59.285) Prec@5 83.594 (80.991) Epoch: [46][7620/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8631 (1.7905) Prec@1 61.719 (59.286) Prec@5 82.031 (80.992) Epoch: [46][7630/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9972 (1.7905) Prec@1 57.031 (59.286) Prec@5 78.125 (80.993) Epoch: [46][7640/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7957 (1.7905) Prec@1 65.625 (59.288) Prec@5 82.031 (80.993) Epoch: [46][7650/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9575 (1.7906) Prec@1 57.812 (59.287) Prec@5 76.562 (80.991) Epoch: [46][7660/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.4870 (1.7906) Prec@1 71.875 (59.288) Prec@5 83.594 (80.991) Epoch: [46][7670/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9026 (1.7905) Prec@1 57.812 (59.290) Prec@5 78.125 (80.990) Epoch: [46][7680/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7349 (1.7904) Prec@1 60.938 (59.293) Prec@5 79.688 (80.992) Epoch: [46][7690/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9881 (1.7905) Prec@1 52.344 (59.292) Prec@5 81.250 (80.991) Epoch: [46][7700/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.1588 (1.7906) Prec@1 50.000 (59.292) Prec@5 75.781 (80.989) Epoch: [46][7710/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.1027 (1.7905) Prec@1 57.812 (59.293) Prec@5 76.562 (80.990) Epoch: [46][7720/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0299 (1.7907) Prec@1 57.812 (59.290) Prec@5 78.125 (80.988) Epoch: [46][7730/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8677 (1.7908) Prec@1 57.031 (59.288) Prec@5 77.344 (80.988) Epoch: [46][7740/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8717 (1.7907) Prec@1 57.031 (59.290) Prec@5 78.906 (80.990) Epoch: [46][7750/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7794 (1.7908) Prec@1 56.250 (59.287) Prec@5 78.125 (80.988) Epoch: [46][7760/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0519 (1.7909) Prec@1 53.906 (59.286) Prec@5 75.000 (80.987) Epoch: [46][7770/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7493 (1.7910) Prec@1 60.156 (59.285) Prec@5 81.250 (80.986) Epoch: [46][7780/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9593 (1.7910) Prec@1 57.812 (59.285) Prec@5 79.688 (80.986) Epoch: [46][7790/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7374 (1.7910) Prec@1 57.031 (59.286) Prec@5 78.125 (80.986) Epoch: [46][7800/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.6210 (1.7909) Prec@1 60.156 (59.287) Prec@5 87.500 (80.989) Epoch: [46][7810/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.8694 (1.7909) Prec@1 54.688 (59.288) Prec@5 80.469 (80.989) Epoch: [46][7820/10010] Time 0.352 (0.332) Data 0.001 (0.001) Loss 1.5373 (1.7908) Prec@1 64.062 (59.288) Prec@5 83.594 (80.988) Epoch: [46][7830/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8884 (1.7909) Prec@1 60.938 (59.287) Prec@5 80.469 (80.987) Epoch: [46][7840/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7278 (1.7909) Prec@1 59.375 (59.288) Prec@5 82.031 (80.986) Epoch: [46][7850/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0830 (1.7909) Prec@1 52.344 (59.288) Prec@5 75.781 (80.986) Epoch: [46][7860/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.7956 (1.7910) Prec@1 58.594 (59.286) Prec@5 82.031 (80.983) Epoch: [46][7870/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8897 (1.7910) Prec@1 62.500 (59.284) Prec@5 82.031 (80.985) Epoch: [46][7880/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6558 (1.7910) Prec@1 61.719 (59.286) Prec@5 82.812 (80.984) Epoch: [46][7890/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7387 (1.7911) Prec@1 57.031 (59.283) Prec@5 81.250 (80.982) Epoch: [46][7900/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.5987 (1.7911) Prec@1 66.406 (59.284) Prec@5 85.156 (80.985) Epoch: [46][7910/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.0175 (1.7911) Prec@1 53.906 (59.282) Prec@5 79.688 (80.985) Epoch: [46][7920/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.0478 (1.7913) Prec@1 55.469 (59.279) Prec@5 73.438 (80.980) Epoch: [46][7930/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0375 (1.7914) Prec@1 53.906 (59.277) Prec@5 77.344 (80.979) Epoch: [46][7940/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6964 (1.7914) Prec@1 62.500 (59.280) Prec@5 86.719 (80.980) Epoch: [46][7950/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7210 (1.7915) Prec@1 60.156 (59.279) Prec@5 82.812 (80.979) Epoch: [46][7960/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7205 (1.7915) Prec@1 59.375 (59.282) Prec@5 80.469 (80.978) Epoch: [46][7970/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8894 (1.7916) Prec@1 60.156 (59.282) Prec@5 79.688 (80.977) Epoch: [46][7980/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.2835 (1.7915) Prec@1 74.219 (59.285) Prec@5 89.062 (80.978) Epoch: [46][7990/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8645 (1.7916) Prec@1 53.125 (59.282) Prec@5 80.469 (80.977) Epoch: [46][8000/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.5444 (1.7917) Prec@1 63.281 (59.280) Prec@5 82.812 (80.975) Epoch: [46][8010/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 2.0461 (1.7919) Prec@1 48.438 (59.276) Prec@5 77.344 (80.972) Epoch: [46][8020/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.3260 (1.7917) Prec@1 67.188 (59.279) Prec@5 86.719 (80.974) Epoch: [46][8030/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9315 (1.7917) Prec@1 56.250 (59.279) Prec@5 84.375 (80.975) Epoch: [46][8040/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.7182 (1.7917) Prec@1 57.812 (59.279) Prec@5 79.688 (80.974) Epoch: [46][8050/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.6387 (1.7918) Prec@1 54.688 (59.276) Prec@5 86.719 (80.974) Epoch: [46][8060/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9723 (1.7918) Prec@1 53.906 (59.276) Prec@5 76.562 (80.972) Epoch: [46][8070/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5681 (1.7919) Prec@1 63.281 (59.273) Prec@5 85.156 (80.971) Epoch: [46][8080/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0064 (1.7920) Prec@1 58.594 (59.272) Prec@5 76.562 (80.970) Epoch: [46][8090/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0454 (1.7920) Prec@1 55.469 (59.272) Prec@5 73.438 (80.969) Epoch: [46][8100/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9017 (1.7920) Prec@1 62.500 (59.271) Prec@5 79.688 (80.969) Epoch: [46][8110/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.0888 (1.7921) Prec@1 53.906 (59.269) Prec@5 75.000 (80.967) Epoch: [46][8120/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9811 (1.7922) Prec@1 53.125 (59.267) Prec@5 78.906 (80.966) Epoch: [46][8130/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9638 (1.7923) Prec@1 52.344 (59.265) Prec@5 81.250 (80.965) Epoch: [46][8140/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7370 (1.7923) Prec@1 64.062 (59.267) Prec@5 83.594 (80.967) Epoch: [46][8150/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6711 (1.7923) Prec@1 63.281 (59.267) Prec@5 79.688 (80.966) Epoch: [46][8160/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7198 (1.7924) Prec@1 57.031 (59.266) Prec@5 85.156 (80.966) Epoch: [46][8170/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.1779 (1.7925) Prec@1 49.219 (59.264) Prec@5 76.562 (80.967) Epoch: [46][8180/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.4137 (1.7925) Prec@1 68.750 (59.264) Prec@5 85.156 (80.967) Epoch: [46][8190/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.0944 (1.7924) Prec@1 57.031 (59.264) Prec@5 74.219 (80.967) Epoch: [46][8200/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7814 (1.7926) Prec@1 53.906 (59.260) Prec@5 82.031 (80.965) Epoch: [46][8210/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5744 (1.7926) Prec@1 65.625 (59.260) Prec@5 85.156 (80.967) Epoch: [46][8220/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8420 (1.7927) Prec@1 63.281 (59.259) Prec@5 81.250 (80.966) Epoch: [46][8230/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8068 (1.7928) Prec@1 58.594 (59.258) Prec@5 80.469 (80.966) Epoch: [46][8240/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9617 (1.7928) Prec@1 55.469 (59.256) Prec@5 74.219 (80.966) Epoch: [46][8250/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8611 (1.7928) Prec@1 57.812 (59.256) Prec@5 82.812 (80.966) Epoch: [46][8260/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.4992 (1.7927) Prec@1 64.062 (59.257) Prec@5 83.594 (80.969) Epoch: [46][8270/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.9825 (1.7927) Prec@1 55.469 (59.256) Prec@5 78.125 (80.969) Epoch: [46][8280/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 1.7794 (1.7927) Prec@1 57.812 (59.257) Prec@5 83.594 (80.969) Epoch: [46][8290/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9881 (1.7928) Prec@1 50.000 (59.255) Prec@5 79.688 (80.968) Epoch: [46][8300/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8328 (1.7927) Prec@1 55.469 (59.255) Prec@5 79.688 (80.969) Epoch: [46][8310/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9674 (1.7928) Prec@1 54.688 (59.255) Prec@5 76.562 (80.968) Epoch: [46][8320/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5285 (1.7928) Prec@1 67.188 (59.254) Prec@5 83.594 (80.967) Epoch: [46][8330/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7273 (1.7928) Prec@1 60.938 (59.254) Prec@5 85.938 (80.968) Epoch: [46][8340/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.9949 (1.7928) Prec@1 57.812 (59.254) Prec@5 78.125 (80.969) Epoch: [46][8350/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8303 (1.7929) Prec@1 60.938 (59.255) Prec@5 83.594 (80.970) Epoch: [46][8360/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9987 (1.7928) Prec@1 57.812 (59.255) Prec@5 78.125 (80.971) Epoch: [46][8370/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7344 (1.7929) Prec@1 57.812 (59.254) Prec@5 78.906 (80.968) Epoch: [46][8380/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8032 (1.7928) Prec@1 60.938 (59.256) Prec@5 79.688 (80.969) Epoch: [46][8390/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6520 (1.7928) Prec@1 64.062 (59.254) Prec@5 82.031 (80.969) Epoch: [46][8400/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0970 (1.7929) Prec@1 53.906 (59.254) Prec@5 78.125 (80.969) Epoch: [46][8410/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8317 (1.7930) Prec@1 53.906 (59.251) Prec@5 81.250 (80.968) Epoch: [46][8420/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.5776 (1.7929) Prec@1 63.281 (59.252) Prec@5 84.375 (80.969) Epoch: [46][8430/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0679 (1.7928) Prec@1 55.469 (59.252) Prec@5 75.000 (80.971) Epoch: [46][8440/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.2688 (1.7929) Prec@1 48.438 (59.250) Prec@5 73.438 (80.969) Epoch: [46][8450/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6677 (1.7928) Prec@1 60.156 (59.251) Prec@5 83.594 (80.969) Epoch: [46][8460/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9233 (1.7928) Prec@1 53.125 (59.252) Prec@5 82.031 (80.971) Epoch: [46][8470/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9770 (1.7929) Prec@1 56.250 (59.249) Prec@5 78.125 (80.969) Epoch: [46][8480/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 2.2014 (1.7931) Prec@1 49.219 (59.247) Prec@5 75.000 (80.966) Epoch: [46][8490/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.5413 (1.7930) Prec@1 67.969 (59.249) Prec@5 85.156 (80.969) Epoch: [46][8500/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0232 (1.7930) Prec@1 58.594 (59.248) Prec@5 78.906 (80.968) Epoch: [46][8510/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7588 (1.7930) Prec@1 58.594 (59.251) Prec@5 82.812 (80.970) Epoch: [46][8520/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.5974 (1.7930) Prec@1 60.938 (59.249) Prec@5 85.156 (80.969) Epoch: [46][8530/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8005 (1.7930) Prec@1 57.812 (59.249) Prec@5 84.375 (80.971) Epoch: [46][8540/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.0697 (1.7929) Prec@1 52.344 (59.248) Prec@5 77.344 (80.972) Epoch: [46][8550/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7234 (1.7930) Prec@1 62.500 (59.247) Prec@5 85.156 (80.974) Epoch: [46][8560/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.4867 (1.7930) Prec@1 64.844 (59.247) Prec@5 85.938 (80.974) Epoch: [46][8570/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9338 (1.7930) Prec@1 59.375 (59.249) Prec@5 85.156 (80.975) Epoch: [46][8580/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6238 (1.7931) Prec@1 57.031 (59.247) Prec@5 85.156 (80.973) Epoch: [46][8590/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7937 (1.7931) Prec@1 55.469 (59.246) Prec@5 79.688 (80.975) Epoch: [46][8600/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8746 (1.7932) Prec@1 57.812 (59.246) Prec@5 77.344 (80.972) Epoch: [46][8610/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7642 (1.7933) Prec@1 62.500 (59.244) Prec@5 84.375 (80.971) Epoch: [46][8620/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.9957 (1.7933) Prec@1 54.688 (59.244) Prec@5 76.562 (80.972) Epoch: [46][8630/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.6655 (1.7933) Prec@1 57.812 (59.243) Prec@5 82.031 (80.971) Epoch: [46][8640/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6334 (1.7933) Prec@1 57.812 (59.242) Prec@5 85.938 (80.971) Epoch: [46][8650/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0530 (1.7934) Prec@1 59.375 (59.241) Prec@5 76.562 (80.971) Epoch: [46][8660/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8059 (1.7934) Prec@1 56.250 (59.241) Prec@5 82.031 (80.971) Epoch: [46][8670/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.1062 (1.7935) Prec@1 57.812 (59.239) Prec@5 77.344 (80.971) Epoch: [46][8680/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8509 (1.7936) Prec@1 61.719 (59.238) Prec@5 82.812 (80.969) Epoch: [46][8690/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0087 (1.7935) Prec@1 53.906 (59.239) Prec@5 75.000 (80.971) Epoch: [46][8700/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.9568 (1.7935) Prec@1 57.031 (59.239) Prec@5 77.344 (80.970) Epoch: [46][8710/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.0291 (1.7935) Prec@1 57.812 (59.240) Prec@5 78.125 (80.970) Epoch: [46][8720/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7637 (1.7936) Prec@1 58.594 (59.239) Prec@5 80.469 (80.968) Epoch: [46][8730/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8395 (1.7938) Prec@1 57.812 (59.233) Prec@5 81.250 (80.964) Epoch: [46][8740/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7548 (1.7939) Prec@1 56.250 (59.233) Prec@5 78.906 (80.963) Epoch: [46][8750/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.4761 (1.7939) Prec@1 62.500 (59.231) Prec@5 86.719 (80.963) Epoch: [46][8760/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.1264 (1.7940) Prec@1 57.812 (59.230) Prec@5 72.656 (80.962) Epoch: [46][8770/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.0019 (1.7941) Prec@1 51.562 (59.230) Prec@5 77.344 (80.961) Epoch: [46][8780/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8485 (1.7940) Prec@1 60.156 (59.232) Prec@5 80.469 (80.963) Epoch: [46][8790/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0467 (1.7940) Prec@1 57.812 (59.231) Prec@5 75.000 (80.962) Epoch: [46][8800/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.5992 (1.7940) Prec@1 61.719 (59.230) Prec@5 80.469 (80.962) Epoch: [46][8810/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7857 (1.7940) Prec@1 62.500 (59.231) Prec@5 79.688 (80.963) Epoch: [46][8820/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.5359 (1.7940) Prec@1 61.719 (59.230) Prec@5 87.500 (80.963) Epoch: [46][8830/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.5853 (1.7940) Prec@1 60.156 (59.228) Prec@5 83.594 (80.963) Epoch: [46][8840/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7625 (1.7939) Prec@1 59.375 (59.229) Prec@5 82.812 (80.964) Epoch: [46][8850/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0006 (1.7939) Prec@1 53.906 (59.228) Prec@5 76.562 (80.965) Epoch: [46][8860/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.8775 (1.7938) Prec@1 55.469 (59.227) Prec@5 76.562 (80.966) Epoch: [46][8870/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8785 (1.7938) Prec@1 59.375 (59.229) Prec@5 81.250 (80.967) Epoch: [46][8880/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9405 (1.7937) Prec@1 61.719 (59.230) Prec@5 78.125 (80.969) Epoch: [46][8890/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6858 (1.7938) Prec@1 61.719 (59.230) Prec@5 82.031 (80.968) Epoch: [46][8900/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8703 (1.7938) Prec@1 57.812 (59.230) Prec@5 76.562 (80.966) Epoch: [46][8910/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8170 (1.7939) Prec@1 56.250 (59.229) Prec@5 82.812 (80.965) Epoch: [46][8920/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9521 (1.7940) Prec@1 55.469 (59.228) Prec@5 78.906 (80.964) Epoch: [46][8930/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6508 (1.7939) Prec@1 60.938 (59.229) Prec@5 83.594 (80.963) Epoch: [46][8940/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7130 (1.7939) Prec@1 60.938 (59.229) Prec@5 81.250 (80.965) Epoch: [46][8950/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9212 (1.7938) Prec@1 56.250 (59.229) Prec@5 78.906 (80.965) Epoch: [46][8960/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 1.8821 (1.7939) Prec@1 63.281 (59.229) Prec@5 78.125 (80.965) Epoch: [46][8970/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9521 (1.7940) Prec@1 58.594 (59.228) Prec@5 78.906 (80.965) Epoch: [46][8980/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7901 (1.7939) Prec@1 60.156 (59.229) Prec@5 78.906 (80.967) Epoch: [46][8990/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.8638 (1.7937) Prec@1 58.594 (59.231) Prec@5 79.688 (80.969) Epoch: [46][9000/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7010 (1.7936) Prec@1 60.938 (59.232) Prec@5 82.812 (80.971) Epoch: [46][9010/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9968 (1.7937) Prec@1 60.156 (59.232) Prec@5 79.688 (80.971) Epoch: [46][9020/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6657 (1.7937) Prec@1 60.938 (59.231) Prec@5 82.031 (80.971) Epoch: [46][9030/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.4358 (1.7936) Prec@1 67.188 (59.232) Prec@5 85.938 (80.973) Epoch: [46][9040/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7420 (1.7937) Prec@1 56.250 (59.228) Prec@5 78.125 (80.970) Epoch: [46][9050/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8447 (1.7938) Prec@1 64.062 (59.228) Prec@5 81.250 (80.970) Epoch: [46][9060/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7706 (1.7938) Prec@1 59.375 (59.227) Prec@5 82.031 (80.970) Epoch: [46][9070/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7336 (1.7937) Prec@1 60.156 (59.228) Prec@5 80.469 (80.972) Epoch: [46][9080/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0719 (1.7937) Prec@1 53.125 (59.225) Prec@5 75.781 (80.972) Epoch: [46][9090/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.1467 (1.7937) Prec@1 60.156 (59.225) Prec@5 72.656 (80.971) Epoch: [46][9100/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0651 (1.7937) Prec@1 50.000 (59.223) Prec@5 74.219 (80.970) Epoch: [46][9110/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.4795 (1.7936) Prec@1 62.500 (59.222) Prec@5 83.594 (80.972) Epoch: [46][9120/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7631 (1.7936) Prec@1 64.062 (59.223) Prec@5 82.031 (80.972) Epoch: [46][9130/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7801 (1.7936) Prec@1 60.938 (59.224) Prec@5 77.344 (80.973) Epoch: [46][9140/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9387 (1.7937) Prec@1 57.031 (59.222) Prec@5 78.906 (80.970) Epoch: [46][9150/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7041 (1.7937) Prec@1 55.469 (59.222) Prec@5 85.156 (80.969) Epoch: [46][9160/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8514 (1.7936) Prec@1 54.688 (59.225) Prec@5 82.031 (80.970) Epoch: [46][9170/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6482 (1.7936) Prec@1 62.500 (59.227) Prec@5 82.031 (80.971) Epoch: [46][9180/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7463 (1.7936) Prec@1 60.156 (59.225) Prec@5 83.594 (80.971) Epoch: [46][9190/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0363 (1.7936) Prec@1 53.125 (59.224) Prec@5 74.219 (80.969) Epoch: [46][9200/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.0049 (1.7938) Prec@1 56.250 (59.220) Prec@5 75.000 (80.965) Epoch: [46][9210/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6775 (1.7937) Prec@1 66.406 (59.223) Prec@5 82.812 (80.966) Epoch: [46][9220/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0848 (1.7938) Prec@1 53.906 (59.220) Prec@5 76.562 (80.965) Epoch: [46][9230/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.9592 (1.7938) Prec@1 57.812 (59.218) Prec@5 78.125 (80.966) Epoch: [46][9240/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.5279 (1.7939) Prec@1 67.969 (59.218) Prec@5 85.938 (80.965) Epoch: [46][9250/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8128 (1.7938) Prec@1 59.375 (59.218) Prec@5 78.125 (80.965) Epoch: [46][9260/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6494 (1.7940) Prec@1 64.062 (59.214) Prec@5 82.812 (80.961) Epoch: [46][9270/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.4441 (1.7941) Prec@1 66.406 (59.212) Prec@5 84.375 (80.959) Epoch: [46][9280/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.1995 (1.7942) Prec@1 53.125 (59.209) Prec@5 75.781 (80.957) Epoch: [46][9290/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8893 (1.7944) Prec@1 54.688 (59.204) Prec@5 78.125 (80.954) Epoch: [46][9300/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7853 (1.7945) Prec@1 60.156 (59.203) Prec@5 81.250 (80.954) Epoch: [46][9310/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8587 (1.7943) Prec@1 58.594 (59.206) Prec@5 82.031 (80.956) Epoch: [46][9320/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7758 (1.7943) Prec@1 59.375 (59.207) Prec@5 83.594 (80.956) Epoch: [46][9330/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8171 (1.7942) Prec@1 60.938 (59.208) Prec@5 79.688 (80.956) Epoch: [46][9340/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.0039 (1.7943) Prec@1 56.250 (59.206) Prec@5 78.125 (80.955) Epoch: [46][9350/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9246 (1.7943) Prec@1 50.781 (59.206) Prec@5 76.562 (80.956) Epoch: [46][9360/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8839 (1.7944) Prec@1 57.812 (59.204) Prec@5 78.906 (80.956) Epoch: [46][9370/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6718 (1.7944) Prec@1 59.375 (59.205) Prec@5 82.812 (80.956) Epoch: [46][9380/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7397 (1.7944) Prec@1 64.062 (59.205) Prec@5 78.906 (80.955) Epoch: [46][9390/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6935 (1.7945) Prec@1 61.719 (59.203) Prec@5 82.812 (80.954) Epoch: [46][9400/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9833 (1.7945) Prec@1 57.031 (59.201) Prec@5 79.688 (80.954) Epoch: [46][9410/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8004 (1.7945) Prec@1 59.375 (59.201) Prec@5 82.031 (80.953) Epoch: [46][9420/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.4344 (1.7945) Prec@1 66.406 (59.199) Prec@5 88.281 (80.954) Epoch: [46][9430/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 2.0961 (1.7945) Prec@1 53.125 (59.198) Prec@5 78.906 (80.954) Epoch: [46][9440/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8021 (1.7946) Prec@1 59.375 (59.198) Prec@5 80.469 (80.953) Epoch: [46][9450/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9908 (1.7946) Prec@1 58.594 (59.196) Prec@5 78.906 (80.952) Epoch: [46][9460/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.2326 (1.7947) Prec@1 47.656 (59.193) Prec@5 74.219 (80.949) Epoch: [46][9470/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6881 (1.7947) Prec@1 64.844 (59.193) Prec@5 79.688 (80.948) Epoch: [46][9480/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5651 (1.7947) Prec@1 65.625 (59.195) Prec@5 85.156 (80.950) Epoch: [46][9490/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9112 (1.7947) Prec@1 56.250 (59.195) Prec@5 80.469 (80.949) Epoch: [46][9500/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9132 (1.7947) Prec@1 57.812 (59.195) Prec@5 77.344 (80.949) Epoch: [46][9510/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7902 (1.7947) Prec@1 54.688 (59.193) Prec@5 86.719 (80.950) Epoch: [46][9520/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6823 (1.7947) Prec@1 64.844 (59.194) Prec@5 82.812 (80.951) Epoch: [46][9530/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8421 (1.7947) Prec@1 55.469 (59.193) Prec@5 78.906 (80.952) Epoch: [46][9540/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7906 (1.7946) Prec@1 61.719 (59.196) Prec@5 80.469 (80.951) Epoch: [46][9550/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.0940 (1.7948) Prec@1 57.812 (59.194) Prec@5 75.781 (80.949) Epoch: [46][9560/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8444 (1.7947) Prec@1 64.062 (59.195) Prec@5 75.781 (80.950) Epoch: [46][9570/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7528 (1.7947) Prec@1 58.594 (59.194) Prec@5 78.906 (80.948) Epoch: [46][9580/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9348 (1.7948) Prec@1 55.469 (59.193) Prec@5 75.781 (80.948) Epoch: [46][9590/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9621 (1.7948) Prec@1 56.250 (59.194) Prec@5 75.781 (80.947) Epoch: [46][9600/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.6800 (1.7947) Prec@1 64.062 (59.197) Prec@5 82.812 (80.947) Epoch: [46][9610/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7894 (1.7947) Prec@1 58.594 (59.197) Prec@5 82.812 (80.947) Epoch: [46][9620/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8984 (1.7947) Prec@1 57.031 (59.196) Prec@5 76.562 (80.946) Epoch: [46][9630/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5917 (1.7948) Prec@1 64.844 (59.197) Prec@5 82.031 (80.945) Epoch: [46][9640/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8811 (1.7948) Prec@1 57.812 (59.196) Prec@5 80.469 (80.945) Epoch: [46][9650/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6344 (1.7947) Prec@1 60.938 (59.199) Prec@5 83.594 (80.946) Epoch: [46][9660/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8766 (1.7947) Prec@1 57.812 (59.198) Prec@5 78.125 (80.946) Epoch: [46][9670/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0627 (1.7947) Prec@1 53.125 (59.197) Prec@5 75.781 (80.945) Epoch: [46][9680/10010] Time 0.351 (0.332) Data 0.001 (0.001) Loss 1.7878 (1.7948) Prec@1 63.281 (59.197) Prec@5 79.688 (80.944) Epoch: [46][9690/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.7730 (1.7948) Prec@1 60.938 (59.196) Prec@5 80.469 (80.944) Epoch: [46][9700/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8182 (1.7947) Prec@1 60.156 (59.197) Prec@5 80.469 (80.944) Epoch: [46][9710/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.4593 (1.7948) Prec@1 66.406 (59.197) Prec@5 84.375 (80.943) Epoch: [46][9720/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8132 (1.7949) Prec@1 59.375 (59.195) Prec@5 81.250 (80.942) Epoch: [46][9730/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.5634 (1.7949) Prec@1 62.500 (59.196) Prec@5 85.156 (80.941) Epoch: [46][9740/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8663 (1.7951) Prec@1 60.156 (59.194) Prec@5 78.125 (80.940) Epoch: [46][9750/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7003 (1.7951) Prec@1 62.500 (59.193) Prec@5 82.812 (80.939) Epoch: [46][9760/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.4307 (1.7951) Prec@1 66.406 (59.193) Prec@5 87.500 (80.939) Epoch: [46][9770/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.5644 (1.7951) Prec@1 67.969 (59.194) Prec@5 82.812 (80.939) Epoch: [46][9780/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.8024 (1.7952) Prec@1 57.812 (59.192) Prec@5 83.594 (80.937) /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][9790/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.4813 (1.7952) Prec@1 64.844 (59.193) Prec@5 83.594 (80.936) Epoch: [46][9800/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8561 (1.7952) Prec@1 59.375 (59.192) Prec@5 82.031 (80.936) Epoch: [46][9810/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.0016 (1.7952) Prec@1 53.125 (59.192) Prec@5 80.469 (80.936) Epoch: [46][9820/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.8494 (1.7951) Prec@1 63.281 (59.193) Prec@5 79.688 (80.937) Epoch: [46][9830/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7562 (1.7952) Prec@1 68.750 (59.193) Prec@5 82.812 (80.937) Epoch: [46][9840/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7890 (1.7952) Prec@1 57.031 (59.192) Prec@5 78.906 (80.937) Epoch: [46][9850/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8392 (1.7952) Prec@1 58.594 (59.193) Prec@5 82.812 (80.935) Epoch: [46][9860/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6424 (1.7953) Prec@1 60.156 (59.190) Prec@5 83.594 (80.933) Epoch: [46][9870/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0676 (1.7953) Prec@1 50.000 (59.191) Prec@5 78.906 (80.933) Epoch: [46][9880/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.1387 (1.7954) Prec@1 53.125 (59.189) Prec@5 71.875 (80.933) Epoch: [46][9890/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6536 (1.7953) Prec@1 57.031 (59.190) Prec@5 80.469 (80.932) Epoch: [46][9900/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7718 (1.7954) Prec@1 60.156 (59.190) Prec@5 80.469 (80.932) Epoch: [46][9910/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.0840 (1.7954) Prec@1 54.688 (59.187) Prec@5 78.125 (80.931) Epoch: [46][9920/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7706 (1.7955) Prec@1 60.938 (59.187) Prec@5 81.250 (80.930) Epoch: [46][9930/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5781 (1.7954) Prec@1 64.844 (59.187) Prec@5 85.156 (80.931) Epoch: [46][9940/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5002 (1.7955) Prec@1 64.062 (59.184) Prec@5 85.938 (80.930) Epoch: [46][9950/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7423 (1.7955) Prec@1 67.188 (59.185) Prec@5 84.375 (80.931) Epoch: [46][9960/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7323 (1.7956) Prec@1 64.844 (59.186) Prec@5 81.250 (80.931) Epoch: [46][9970/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9574 (1.7956) Prec@1 59.375 (59.186) Prec@5 75.781 (80.930) Epoch: [46][9980/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.4391 (1.7956) Prec@1 66.406 (59.185) Prec@5 86.719 (80.930) Epoch: [46][9990/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8192 (1.7957) Prec@1 58.594 (59.184) Prec@5 78.906 (80.929) Epoch: [46][10000/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0338 (1.7957) Prec@1 53.125 (59.183) Prec@5 82.031 (80.928) Test: [0/391] Time 1.601 (1.601) Loss 0.9145 (0.9145) Prec@1 77.344 (77.344) Prec@5 91.406 (91.406) Test: [10/391] Time 0.180 (0.248) Loss 1.3155 (0.8827) Prec@1 67.969 (79.190) Prec@5 86.719 (92.756) Test: [20/391] Time 0.110 (0.186) Loss 1.1561 (1.1692) Prec@1 73.438 (71.838) Prec@5 88.281 (89.621) Test: [30/391] Time 0.108 (0.160) Loss 2.0038 (1.3111) Prec@1 61.719 (67.792) Prec@5 80.469 (88.760) Test: [40/391] Time 0.103 (0.147) Loss 1.4644 (1.1981) Prec@1 66.406 (70.846) Prec@5 85.938 (89.653) Test: [50/391] Time 0.104 (0.139) Loss 0.7067 (1.2262) Prec@1 79.688 (70.588) Prec@5 93.750 (89.246) Test: [60/391] Time 0.111 (0.135) Loss 1.2506 (1.1738) Prec@1 70.312 (71.952) Prec@5 89.062 (89.793) Test: [70/391] Time 0.105 (0.131) Loss 1.2410 (1.1984) Prec@1 67.188 (70.929) Prec@5 92.188 (89.789) Test: [80/391] Time 0.112 (0.128) Loss 1.2210 (1.2136) Prec@1 64.062 (69.734) Prec@5 88.281 (89.902) Test: [90/391] Time 0.105 (0.125) Loss 1.5726 (1.2165) Prec@1 46.094 (69.488) Prec@5 91.406 (89.998) Test: [100/391] Time 0.102 (0.123) Loss 0.9761 (1.2118) Prec@1 74.219 (69.144) Prec@5 93.750 (90.215) Test: [110/391] Time 0.107 (0.122) Loss 1.7116 (1.2191) Prec@1 48.438 (68.764) Prec@5 88.281 (90.245) Test: [120/391] Time 0.102 (0.121) Loss 1.1413 (1.2189) Prec@1 68.750 (68.918) Prec@5 93.750 (90.212) Test: [130/391] Time 0.105 (0.120) Loss 0.6337 (1.2124) Prec@1 85.938 (69.191) Prec@5 95.312 (90.249) Test: [140/391] Time 0.109 (0.119) Loss 1.5660 (1.2095) Prec@1 62.500 (69.199) Prec@5 86.719 (90.293) Test: [150/391] Time 0.110 (0.118) Loss 1.2567 (1.2179) Prec@1 55.469 (69.040) Prec@5 92.188 (90.180) Test: [160/391] Time 0.097 (0.118) Loss 1.2700 (1.2265) Prec@1 65.625 (68.959) Prec@5 87.500 (90.052) Test: [170/391] Time 0.105 (0.117) Loss 1.9412 (1.2631) Prec@1 53.125 (68.302) Prec@5 82.031 (89.556) Test: [180/391] Time 0.107 (0.117) Loss 2.4804 (1.3009) Prec@1 46.094 (67.468) Prec@5 78.125 (89.041) Test: [190/391] Time 0.100 (0.116) Loss 2.2975 (1.3345) Prec@1 45.312 (66.787) Prec@5 81.250 (88.539) Test: [200/391] Time 0.181 (0.116) Loss 1.6476 (1.3708) Prec@1 56.250 (66.138) Prec@5 82.812 (88.079) Test: [210/391] Time 0.106 (0.115) Loss 1.5125 (1.3919) Prec@1 64.062 (65.688) Prec@5 88.281 (87.822) Test: [220/391] Time 0.110 (0.115) Loss 0.9180 (1.3960) Prec@1 77.344 (65.699) Prec@5 93.750 (87.680) Test: [230/391] Time 0.108 (0.115) Loss 2.1708 (1.4124) Prec@1 49.219 (65.371) Prec@5 74.219 (87.456) Test: [240/391] Time 0.103 (0.114) Loss 1.7035 (1.4184) Prec@1 64.844 (65.311) Prec@5 82.812 (87.341) Test: [250/391] Time 0.112 (0.114) Loss 1.1722 (1.4397) Prec@1 74.219 (64.915) Prec@5 85.938 (87.039) Test: [260/391] Time 0.109 (0.114) Loss 1.9443 (1.4587) Prec@1 45.312 (64.485) Prec@5 81.250 (86.841) Test: [270/391] Time 0.106 (0.114) Loss 2.1916 (1.4691) Prec@1 47.656 (64.235) Prec@5 82.031 (86.693) Test: [280/391] Time 0.107 (0.114) Loss 1.8873 (1.4746) Prec@1 50.781 (64.188) Prec@5 80.469 (86.613) Test: [290/391] Time 0.105 (0.113) Loss 1.7769 (1.4870) Prec@1 56.250 (63.987) Prec@5 84.375 (86.346) Test: [300/391] Time 0.109 (0.113) Loss 1.5126 (1.5016) Prec@1 73.438 (63.761) Prec@5 85.156 (86.140) Test: [310/391] Time 0.108 (0.113) Loss 1.9628 (1.5160) Prec@1 58.594 (63.495) Prec@5 76.562 (85.905) Test: [320/391] Time 0.111 (0.113) Loss 0.9166 (1.5245) Prec@1 81.250 (63.369) Prec@5 93.750 (85.782) Test: [330/391] Time 0.110 (0.113) Loss 2.2993 (1.5459) Prec@1 54.688 (62.960) Prec@5 70.312 (85.456) Test: [340/391] Time 0.111 (0.113) Loss 1.3257 (1.5518) Prec@1 63.281 (62.830) Prec@5 92.969 (85.388) Test: [350/391] Time 0.107 (0.113) Loss 1.8607 (1.5601) Prec@1 61.719 (62.683) Prec@5 82.812 (85.241) Test: [360/391] Time 0.103 (0.112) Loss 1.4514 (1.5685) Prec@1 64.062 (62.561) Prec@5 93.750 (85.171) Test: [370/391] Time 0.102 (0.112) Loss 1.1743 (1.5648) Prec@1 67.969 (62.582) Prec@5 92.188 (85.243) Test: [380/391] Time 0.107 (0.112) Loss 1.1062 (1.5673) Prec@1 73.438 (62.537) Prec@5 93.750 (85.228) Test: [390/391] Time 0.070 (0.112) Loss 2.9472 (1.5602) Prec@1 30.000 (62.720) Prec@5 62.500 (85.316) * Prec@1 62.720 Prec@5 85.316 Epoch: [47][0/10010] Time 2.795 (2.795) Data 2.612 (2.612) Loss 1.7307 (1.7307) Prec@1 59.375 (59.375) Prec@5 80.469 (80.469) Epoch: [47][10/10010] Time 0.330 (0.547) Data 0.000 (0.245) Loss 1.4833 (1.7424) Prec@1 62.500 (60.582) Prec@5 88.281 (81.960) Epoch: [47][20/10010] Time 0.329 (0.440) Data 0.000 (0.129) Loss 1.7256 (1.7533) Prec@1 57.031 (59.040) Prec@5 83.594 (81.585) Epoch: [47][30/10010] Time 0.307 (0.402) Data 0.001 (0.088) Loss 1.7660 (1.7299) Prec@1 57.031 (59.627) Prec@5 85.156 (82.157) Epoch: [47][40/10010] Time 0.322 (0.383) Data 0.001 (0.066) Loss 1.5140 (1.7160) Prec@1 64.844 (60.252) Prec@5 86.719 (82.355) Epoch: [47][50/10010] Time 0.330 (0.374) Data 0.001 (0.053) Loss 1.6980 (1.7287) Prec@1 60.156 (60.156) Prec@5 80.469 (81.878) Epoch: [47][60/10010] Time 0.346 (0.366) Data 0.000 (0.045) Loss 1.7726 (1.7589) Prec@1 56.250 (59.798) Prec@5 83.594 (81.442) Epoch: [47][70/10010] Time 0.331 (0.363) Data 0.001 (0.039) Loss 1.7287 (1.7552) Prec@1 58.594 (59.771) Prec@5 82.812 (81.503) Epoch: [47][80/10010] Time 0.338 (0.358) Data 0.001 (0.034) Loss 1.4501 (1.7560) Prec@1 66.406 (59.655) Prec@5 83.594 (81.520) Epoch: [47][90/10010] Time 0.340 (0.356) Data 0.001 (0.030) Loss 2.1342 (1.7586) Prec@1 53.906 (59.873) Prec@5 75.781 (81.525) Epoch: [47][100/10010] Time 0.324 (0.353) Data 0.001 (0.027) Loss 1.8303 (1.7580) Prec@1 57.031 (59.847) Prec@5 81.250 (81.490) Epoch: [47][110/10010] Time 0.320 (0.350) Data 0.001 (0.025) Loss 1.7897 (1.7612) Prec@1 61.719 (59.804) Prec@5 83.594 (81.475) Epoch: [47][120/10010] Time 0.351 (0.348) Data 0.001 (0.023) Loss 1.9167 (1.7625) Prec@1 56.250 (59.685) Prec@5 76.562 (81.418) /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][130/10010] Time 0.342 (0.347) Data 0.001 (0.021) Loss 1.6128 (1.7624) Prec@1 62.500 (59.667) Prec@5 83.594 (81.465) Epoch: [47][140/10010] Time 0.338 (0.346) Data 0.001 (0.020) Loss 1.9639 (1.7648) Prec@1 53.906 (59.580) Prec@5 75.000 (81.311) Epoch: [47][150/10010] Time 0.338 (0.345) Data 0.000 (0.018) Loss 1.8367 (1.7580) Prec@1 59.375 (59.742) Prec@5 78.906 (81.364) Epoch: [47][160/10010] Time 0.338 (0.345) Data 0.001 (0.017) Loss 1.8525 (1.7599) Prec@1 53.906 (59.656) Prec@5 81.250 (81.386) Epoch: [47][170/10010] Time 0.335 (0.345) Data 0.000 (0.016) Loss 1.8671 (1.7610) Prec@1 58.594 (59.645) Prec@5 80.469 (81.328) Epoch: [47][180/10010] Time 0.336 (0.344) Data 0.002 (0.016) Loss 1.8305 (1.7625) Prec@1 56.250 (59.599) Prec@5 77.344 (81.263) Epoch: [47][190/10010] Time 0.325 (0.343) Data 0.000 (0.015) Loss 1.5554 (1.7596) Prec@1 60.938 (59.629) Prec@5 86.719 (81.332) Epoch: [47][200/10010] Time 0.341 (0.343) Data 0.001 (0.014) Loss 1.5794 (1.7570) Prec@1 63.281 (59.651) Prec@5 83.594 (81.382) Epoch: [47][210/10010] Time 0.320 (0.342) Data 0.000 (0.013) Loss 1.8729 (1.7546) Prec@1 63.281 (59.753) Prec@5 79.688 (81.383) Epoch: [47][220/10010] Time 0.325 (0.342) Data 0.001 (0.013) Loss 1.6191 (1.7539) Prec@1 59.375 (59.725) Prec@5 83.594 (81.423) Epoch: [47][230/10010] Time 0.318 (0.341) Data 0.001 (0.012) Loss 1.5389 (1.7506) Prec@1 66.406 (59.869) Prec@5 82.031 (81.470) Epoch: [47][240/10010] Time 0.335 (0.340) Data 0.000 (0.012) Loss 1.7137 (1.7468) Prec@1 55.469 (59.942) Prec@5 83.594 (81.558) Epoch: [47][250/10010] Time 0.327 (0.340) Data 0.000 (0.011) Loss 1.6884 (1.7468) Prec@1 62.500 (59.926) Prec@5 78.906 (81.505) Epoch: [47][260/10010] Time 0.342 (0.340) Data 0.001 (0.011) Loss 1.7912 (1.7478) Prec@1 64.062 (59.947) Prec@5 75.781 (81.483) Epoch: [47][270/10010] Time 0.343 (0.339) Data 0.001 (0.011) Loss 1.6856 (1.7483) Prec@1 54.688 (59.894) Prec@5 85.938 (81.495) Epoch: [47][280/10010] Time 0.323 (0.339) Data 0.001 (0.010) Loss 1.8505 (1.7475) Prec@1 61.719 (59.973) Prec@5 80.469 (81.506) Epoch: [47][290/10010] Time 0.330 (0.339) Data 0.001 (0.010) Loss 1.4729 (1.7483) Prec@1 66.406 (59.939) Prec@5 85.156 (81.478) Epoch: [47][300/10010] Time 0.335 (0.338) Data 0.001 (0.010) Loss 1.5564 (1.7475) Prec@1 67.188 (59.998) Prec@5 83.594 (81.476) Epoch: [47][310/10010] Time 0.327 (0.338) Data 0.001 (0.009) Loss 1.6931 (1.7493) Prec@1 59.375 (60.018) Prec@5 75.781 (81.471) Epoch: [47][320/10010] Time 0.322 (0.337) Data 0.000 (0.009) Loss 1.4290 (1.7467) Prec@1 65.625 (60.120) Prec@5 89.062 (81.540) Epoch: [47][330/10010] Time 0.354 (0.337) Data 0.000 (0.009) Loss 1.8253 (1.7487) Prec@1 57.031 (60.076) Prec@5 79.688 (81.505) Epoch: [47][340/10010] Time 0.341 (0.337) Data 0.001 (0.009) Loss 1.7228 (1.7484) Prec@1 60.938 (60.071) Prec@5 83.594 (81.518) Epoch: [47][350/10010] Time 0.347 (0.337) Data 0.001 (0.008) Loss 1.7364 (1.7496) Prec@1 62.500 (60.034) Prec@5 82.812 (81.502) Epoch: [47][360/10010] Time 0.341 (0.337) Data 0.000 (0.008) Loss 1.7743 (1.7492) Prec@1 57.031 (60.059) Prec@5 84.375 (81.505) Epoch: [47][370/10010] Time 0.337 (0.336) Data 0.001 (0.008) Loss 1.6631 (1.7487) Prec@1 64.844 (60.064) Prec@5 79.688 (81.498) Epoch: [47][380/10010] Time 0.342 (0.336) Data 0.001 (0.008) Loss 1.6157 (1.7491) Prec@1 56.250 (60.056) Prec@5 83.594 (81.496) Epoch: [47][390/10010] Time 0.339 (0.336) Data 0.001 (0.008) Loss 1.7032 (1.7511) Prec@1 59.375 (60.028) Prec@5 81.250 (81.472) Epoch: [47][400/10010] Time 0.342 (0.336) Data 0.000 (0.007) Loss 1.5774 (1.7519) Prec@1 65.625 (60.016) Prec@5 84.375 (81.476) Epoch: [47][410/10010] Time 0.338 (0.336) Data 0.000 (0.007) Loss 1.7650 (1.7523) Prec@1 60.156 (60.004) Prec@5 81.250 (81.440) Epoch: [47][420/10010] Time 0.339 (0.336) Data 0.000 (0.007) Loss 1.8202 (1.7511) Prec@1 56.250 (60.017) Prec@5 83.594 (81.489) Epoch: [47][430/10010] Time 0.316 (0.336) Data 0.001 (0.007) Loss 1.6139 (1.7508) Prec@1 67.969 (60.031) Prec@5 82.812 (81.504) Epoch: [47][440/10010] Time 0.335 (0.336) Data 0.000 (0.007) Loss 1.9109 (1.7514) Prec@1 57.031 (60.007) Prec@5 76.562 (81.503) Epoch: [47][450/10010] Time 0.343 (0.336) Data 0.000 (0.007) Loss 1.7240 (1.7508) Prec@1 56.250 (60.033) Prec@5 79.688 (81.493) Epoch: [47][460/10010] Time 0.340 (0.336) Data 0.000 (0.006) Loss 1.4907 (1.7503) Prec@1 63.281 (60.065) Prec@5 85.156 (81.509) Epoch: [47][470/10010] Time 0.337 (0.336) Data 0.000 (0.006) Loss 1.8967 (1.7502) Prec@1 58.594 (60.060) Prec@5 79.688 (81.515) Epoch: [47][480/10010] Time 0.323 (0.336) Data 0.001 (0.006) Loss 1.8426 (1.7513) Prec@1 57.031 (60.025) Prec@5 78.125 (81.520) Epoch: [47][490/10010] Time 0.329 (0.336) Data 0.000 (0.006) Loss 1.8772 (1.7526) Prec@1 55.469 (59.986) Prec@5 80.469 (81.517) Epoch: [47][500/10010] Time 0.326 (0.335) Data 0.000 (0.006) Loss 1.6635 (1.7530) Prec@1 62.500 (59.968) Prec@5 80.469 (81.490) Epoch: [47][510/10010] Time 0.337 (0.336) Data 0.000 (0.006) Loss 1.7032 (1.7516) Prec@1 55.469 (60.002) Prec@5 82.031 (81.519) Epoch: [47][520/10010] Time 0.324 (0.336) Data 0.000 (0.006) Loss 1.5948 (1.7525) Prec@1 67.188 (60.017) Prec@5 82.812 (81.497) Epoch: [47][530/10010] Time 0.345 (0.335) Data 0.000 (0.006) Loss 1.7076 (1.7534) Prec@1 61.719 (60.018) Prec@5 81.250 (81.507) Epoch: [47][540/10010] Time 0.322 (0.335) Data 0.000 (0.006) Loss 1.4964 (1.7522) Prec@1 64.844 (60.057) Prec@5 83.594 (81.520) Epoch: [47][550/10010] Time 0.335 (0.335) Data 0.001 (0.006) Loss 1.9738 (1.7525) Prec@1 57.812 (60.060) Prec@5 78.906 (81.541) Epoch: [47][560/10010] Time 0.319 (0.335) Data 0.000 (0.005) Loss 1.8175 (1.7523) Prec@1 59.375 (60.057) Prec@5 82.812 (81.538) Epoch: [47][570/10010] Time 0.336 (0.335) Data 0.001 (0.005) Loss 1.7250 (1.7509) Prec@1 57.812 (60.044) Prec@5 84.375 (81.561) Epoch: [47][580/10010] Time 0.346 (0.335) Data 0.001 (0.005) Loss 1.6651 (1.7494) Prec@1 64.844 (60.082) Prec@5 81.250 (81.589) Epoch: [47][590/10010] Time 0.330 (0.335) Data 0.001 (0.005) Loss 1.9049 (1.7501) Prec@1 56.250 (60.045) Prec@5 79.688 (81.586) Epoch: [47][600/10010] Time 0.337 (0.335) Data 0.001 (0.005) Loss 1.8175 (1.7525) Prec@1 58.594 (60.018) Prec@5 82.031 (81.545) Epoch: [47][610/10010] Time 0.331 (0.335) Data 0.000 (0.005) Loss 2.1263 (1.7531) Prec@1 55.469 (60.000) Prec@5 75.000 (81.547) Epoch: [47][620/10010] Time 0.336 (0.335) Data 0.001 (0.005) Loss 1.5677 (1.7541) Prec@1 60.938 (59.978) Prec@5 83.594 (81.529) Epoch: [47][630/10010] Time 0.328 (0.335) Data 0.001 (0.005) Loss 1.5600 (1.7531) Prec@1 63.281 (59.993) Prec@5 83.594 (81.548) Epoch: [47][640/10010] Time 0.336 (0.335) Data 0.000 (0.005) Loss 1.8365 (1.7536) Prec@1 59.375 (59.966) Prec@5 79.688 (81.560) Epoch: [47][650/10010] Time 0.336 (0.335) Data 0.000 (0.005) Loss 2.0771 (1.7537) Prec@1 53.906 (59.958) Prec@5 78.906 (81.558) Epoch: [47][660/10010] Time 0.321 (0.335) Data 0.000 (0.005) Loss 2.0360 (1.7540) Prec@1 49.219 (59.954) Prec@5 75.781 (81.563) Epoch: [47][670/10010] Time 0.322 (0.334) Data 0.001 (0.005) Loss 1.6157 (1.7554) Prec@1 64.062 (59.950) Prec@5 84.375 (81.532) Epoch: [47][680/10010] Time 0.348 (0.334) Data 0.001 (0.005) Loss 1.5729 (1.7549) Prec@1 64.844 (59.953) Prec@5 85.156 (81.525) Epoch: [47][690/10010] Time 0.335 (0.334) Data 0.000 (0.005) Loss 1.4104 (1.7551) Prec@1 65.625 (59.945) Prec@5 85.938 (81.522) Epoch: [47][700/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 1.6862 (1.7547) Prec@1 63.281 (59.951) Prec@5 80.469 (81.540) Epoch: [47][710/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 1.9351 (1.7542) Prec@1 57.031 (59.969) Prec@5 78.125 (81.549) Epoch: [47][720/10010] Time 0.334 (0.334) Data 0.000 (0.004) Loss 1.9538 (1.7545) Prec@1 55.469 (59.967) Prec@5 78.125 (81.548) Epoch: [47][730/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 2.0597 (1.7566) Prec@1 53.125 (59.921) Prec@5 74.219 (81.513) Epoch: [47][740/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 1.5366 (1.7560) Prec@1 65.625 (59.933) Prec@5 85.156 (81.518) Epoch: [47][750/10010] Time 0.338 (0.334) Data 0.000 (0.004) Loss 1.5775 (1.7563) Prec@1 65.625 (59.924) Prec@5 82.031 (81.504) Epoch: [47][760/10010] Time 0.338 (0.334) Data 0.001 (0.004) Loss 1.5605 (1.7566) Prec@1 58.594 (59.905) Prec@5 86.719 (81.496) Epoch: [47][770/10010] Time 0.326 (0.334) Data 0.001 (0.004) Loss 1.8940 (1.7573) Prec@1 62.500 (59.911) Prec@5 81.250 (81.482) Epoch: [47][780/10010] Time 0.335 (0.334) Data 0.001 (0.004) Loss 2.0762 (1.7570) Prec@1 59.375 (59.937) Prec@5 75.781 (81.464) Epoch: [47][790/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 1.9355 (1.7581) Prec@1 53.906 (59.916) Prec@5 82.812 (81.450) Epoch: [47][800/10010] Time 0.347 (0.334) Data 0.001 (0.004) Loss 1.7089 (1.7583) Prec@1 62.500 (59.909) Prec@5 82.812 (81.449) Epoch: [47][810/10010] Time 0.315 (0.334) Data 0.000 (0.004) Loss 1.5772 (1.7583) Prec@1 60.156 (59.894) Prec@5 85.938 (81.460) /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][820/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 1.8301 (1.7587) Prec@1 59.375 (59.876) Prec@5 79.688 (81.452) Epoch: [47][830/10010] Time 0.312 (0.334) Data 0.001 (0.004) Loss 1.7195 (1.7589) Prec@1 64.062 (59.869) Prec@5 83.594 (81.434) Epoch: [47][840/10010] Time 0.344 (0.334) Data 0.001 (0.004) Loss 1.6863 (1.7592) Prec@1 60.156 (59.853) Prec@5 80.469 (81.429) Epoch: [47][850/10010] Time 0.347 (0.334) Data 0.001 (0.004) Loss 1.9630 (1.7603) Prec@1 58.594 (59.833) Prec@5 80.469 (81.419) Epoch: [47][860/10010] Time 0.341 (0.334) Data 0.001 (0.004) Loss 1.5805 (1.7596) Prec@1 59.375 (59.831) Prec@5 86.719 (81.431) Epoch: [47][870/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 1.9249 (1.7591) Prec@1 55.469 (59.844) Prec@5 79.688 (81.437) Epoch: [47][880/10010] Time 0.319 (0.334) Data 0.000 (0.004) Loss 1.6253 (1.7591) Prec@1 62.500 (59.837) Prec@5 85.156 (81.447) Epoch: [47][890/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 1.7208 (1.7601) Prec@1 55.469 (59.827) Prec@5 80.469 (81.431) Epoch: [47][900/10010] Time 0.346 (0.334) Data 0.001 (0.004) Loss 1.8546 (1.7601) Prec@1 59.375 (59.833) Prec@5 82.812 (81.436) Epoch: [47][910/10010] Time 0.326 (0.334) Data 0.000 (0.004) Loss 1.8669 (1.7599) Prec@1 56.250 (59.829) Prec@5 80.469 (81.444) Epoch: [47][920/10010] Time 0.342 (0.334) Data 0.001 (0.004) Loss 1.9375 (1.7621) Prec@1 57.812 (59.782) Prec@5 79.688 (81.418) Epoch: [47][930/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 1.4629 (1.7607) Prec@1 63.281 (59.818) Prec@5 83.594 (81.440) Epoch: [47][940/10010] Time 0.320 (0.334) Data 0.001 (0.003) Loss 1.6855 (1.7599) Prec@1 61.719 (59.837) Prec@5 82.812 (81.457) Epoch: [47][950/10010] Time 0.333 (0.334) Data 0.001 (0.003) Loss 1.5005 (1.7602) Prec@1 69.531 (59.817) Prec@5 84.375 (81.461) Epoch: [47][960/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 1.5109 (1.7600) Prec@1 67.188 (59.834) Prec@5 85.938 (81.469) Epoch: [47][970/10010] Time 0.339 (0.334) Data 0.001 (0.003) Loss 1.7466 (1.7610) Prec@1 63.281 (59.822) Prec@5 83.594 (81.461) Epoch: [47][980/10010] Time 0.318 (0.334) Data 0.001 (0.003) Loss 1.4380 (1.7605) Prec@1 64.844 (59.835) Prec@5 85.938 (81.468) Epoch: [47][990/10010] Time 0.320 (0.334) Data 0.001 (0.003) Loss 1.4973 (1.7606) Prec@1 67.188 (59.831) Prec@5 82.031 (81.464) Epoch: [47][1000/10010] Time 0.324 (0.334) Data 0.000 (0.003) Loss 1.8751 (1.7611) Prec@1 58.594 (59.816) Prec@5 78.906 (81.444) Epoch: [47][1010/10010] Time 0.337 (0.334) Data 0.001 (0.003) Loss 2.0262 (1.7608) Prec@1 51.562 (59.826) Prec@5 76.562 (81.444) Epoch: [47][1020/10010] Time 0.337 (0.334) Data 0.000 (0.003) Loss 1.6828 (1.7610) Prec@1 60.938 (59.830) Prec@5 81.250 (81.437) Epoch: [47][1030/10010] Time 0.348 (0.334) Data 0.000 (0.003) Loss 2.0262 (1.7609) Prec@1 49.219 (59.829) Prec@5 77.344 (81.438) Epoch: [47][1040/10010] Time 0.320 (0.334) Data 0.000 (0.003) Loss 1.4029 (1.7607) Prec@1 64.844 (59.829) Prec@5 86.719 (81.438) Epoch: [47][1050/10010] Time 0.333 (0.334) Data 0.000 (0.003) Loss 1.9111 (1.7612) Prec@1 56.250 (59.814) Prec@5 78.125 (81.425) Epoch: [47][1060/10010] Time 0.334 (0.334) Data 0.000 (0.003) Loss 1.5933 (1.7619) Prec@1 63.281 (59.797) Prec@5 85.938 (81.420) Epoch: [47][1070/10010] Time 0.338 (0.334) Data 0.000 (0.003) Loss 1.5595 (1.7615) Prec@1 67.969 (59.811) Prec@5 84.375 (81.446) Epoch: [47][1080/10010] Time 0.339 (0.334) Data 0.000 (0.003) Loss 1.7778 (1.7612) Prec@1 57.031 (59.814) Prec@5 83.594 (81.453) Epoch: [47][1090/10010] Time 0.323 (0.334) Data 0.000 (0.003) Loss 1.6509 (1.7614) Prec@1 60.938 (59.810) Prec@5 85.156 (81.456) Epoch: [47][1100/10010] Time 0.344 (0.334) Data 0.001 (0.003) Loss 1.6383 (1.7618) Prec@1 63.281 (59.803) Prec@5 80.469 (81.454) Epoch: [47][1110/10010] Time 0.330 (0.334) Data 0.001 (0.003) Loss 1.5369 (1.7618) Prec@1 59.375 (59.788) Prec@5 86.719 (81.454) Epoch: [47][1120/10010] Time 0.323 (0.334) Data 0.001 (0.003) Loss 1.7318 (1.7622) Prec@1 60.156 (59.779) Prec@5 82.812 (81.447) Epoch: [47][1130/10010] Time 0.346 (0.334) Data 0.001 (0.003) Loss 1.8936 (1.7633) Prec@1 58.594 (59.749) Prec@5 78.125 (81.422) Epoch: [47][1140/10010] Time 0.325 (0.334) Data 0.000 (0.003) Loss 1.3778 (1.7633) Prec@1 64.844 (59.740) Prec@5 85.156 (81.419) Epoch: [47][1150/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 2.0598 (1.7639) Prec@1 53.125 (59.729) Prec@5 76.562 (81.412) Epoch: [47][1160/10010] Time 0.328 (0.334) Data 0.001 (0.003) Loss 1.8178 (1.7638) Prec@1 59.375 (59.737) Prec@5 78.125 (81.408) Epoch: [47][1170/10010] Time 0.329 (0.334) Data 0.000 (0.003) Loss 1.8191 (1.7644) Prec@1 59.375 (59.730) Prec@5 78.906 (81.391) Epoch: [47][1180/10010] Time 0.317 (0.334) Data 0.001 (0.003) Loss 1.7995 (1.7647) Prec@1 57.812 (59.726) Prec@5 77.344 (81.392) Epoch: [47][1190/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 2.0095 (1.7642) Prec@1 54.688 (59.742) Prec@5 76.562 (81.394) Epoch: [47][1200/10010] Time 0.341 (0.334) Data 0.000 (0.003) Loss 1.7377 (1.7644) Prec@1 65.625 (59.734) Prec@5 84.375 (81.393) Epoch: [47][1210/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.4832 (1.7651) Prec@1 65.625 (59.723) Prec@5 89.062 (81.390) Epoch: [47][1220/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 1.5751 (1.7651) Prec@1 67.188 (59.722) Prec@5 84.375 (81.388) Epoch: [47][1230/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 2.0266 (1.7653) Prec@1 53.125 (59.733) Prec@5 75.781 (81.381) Epoch: [47][1240/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 1.7374 (1.7653) Prec@1 59.375 (59.739) Prec@5 82.812 (81.378) Epoch: [47][1250/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 1.9871 (1.7656) Prec@1 54.688 (59.734) Prec@5 82.031 (81.365) Epoch: [47][1260/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 2.2038 (1.7663) Prec@1 47.656 (59.714) Prec@5 75.000 (81.361) Epoch: [47][1270/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 1.6819 (1.7667) Prec@1 63.281 (59.714) Prec@5 82.031 (81.354) Epoch: [47][1280/10010] Time 0.349 (0.333) Data 0.000 (0.003) Loss 1.8457 (1.7662) Prec@1 56.250 (59.720) Prec@5 81.250 (81.368) Epoch: [47][1290/10010] Time 0.327 (0.333) Data 0.000 (0.003) Loss 1.5619 (1.7661) Prec@1 61.719 (59.727) Prec@5 82.812 (81.373) Epoch: [47][1300/10010] Time 0.328 (0.333) Data 0.000 (0.003) Loss 1.5710 (1.7660) Prec@1 62.500 (59.727) Prec@5 84.375 (81.369) Epoch: [47][1310/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.7600 (1.7664) Prec@1 62.500 (59.733) Prec@5 80.469 (81.363) Epoch: [47][1320/10010] Time 0.325 (0.333) Data 0.000 (0.003) Loss 1.5848 (1.7667) Prec@1 62.500 (59.722) Prec@5 85.156 (81.361) Epoch: [47][1330/10010] Time 0.316 (0.333) Data 0.001 (0.003) Loss 2.0838 (1.7676) Prec@1 54.688 (59.701) Prec@5 80.469 (81.352) Epoch: [47][1340/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.1207 (1.7680) Prec@1 53.906 (59.695) Prec@5 75.781 (81.341) Epoch: [47][1350/10010] Time 0.335 (0.333) Data 0.001 (0.003) Loss 2.1465 (1.7685) Prec@1 55.469 (59.688) Prec@5 78.125 (81.339) Epoch: [47][1360/10010] Time 0.320 (0.333) Data 0.001 (0.003) Loss 1.8960 (1.7687) Prec@1 57.812 (59.685) Prec@5 79.688 (81.339) Epoch: [47][1370/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 1.8336 (1.7688) Prec@1 62.500 (59.692) Prec@5 85.156 (81.337) Epoch: [47][1380/10010] Time 0.332 (0.333) Data 0.001 (0.003) Loss 1.9855 (1.7692) Prec@1 57.812 (59.692) Prec@5 77.344 (81.334) Epoch: [47][1390/10010] Time 0.326 (0.333) Data 0.000 (0.003) Loss 1.7103 (1.7691) Prec@1 57.812 (59.693) Prec@5 84.375 (81.333) Epoch: [47][1400/10010] Time 0.339 (0.333) Data 0.000 (0.003) Loss 1.6072 (1.7686) Prec@1 63.281 (59.699) Prec@5 86.719 (81.343) Epoch: [47][1410/10010] Time 0.345 (0.333) Data 0.001 (0.003) Loss 1.9384 (1.7684) Prec@1 58.594 (59.708) Prec@5 82.031 (81.341) Epoch: [47][1420/10010] Time 0.327 (0.333) Data 0.001 (0.003) Loss 1.5079 (1.7681) Prec@1 67.188 (59.704) Prec@5 82.812 (81.340) Epoch: [47][1430/10010] Time 0.336 (0.333) Data 0.001 (0.002) Loss 1.7328 (1.7681) Prec@1 58.594 (59.702) Prec@5 82.812 (81.345) Epoch: [47][1440/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.7293 (1.7682) Prec@1 60.938 (59.701) Prec@5 82.812 (81.347) Epoch: [47][1450/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.8817 (1.7686) Prec@1 55.469 (59.692) Prec@5 79.688 (81.342) Epoch: [47][1460/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 2.2564 (1.7697) Prec@1 53.125 (59.680) Prec@5 72.656 (81.325) Epoch: [47][1470/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 1.7409 (1.7694) Prec@1 62.500 (59.687) Prec@5 84.375 (81.329) Epoch: [47][1480/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 1.5300 (1.7685) Prec@1 59.375 (59.696) Prec@5 82.812 (81.344) Epoch: [47][1490/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 1.5572 (1.7681) Prec@1 64.844 (59.700) Prec@5 82.031 (81.343) Epoch: [47][1500/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 1.5119 (1.7687) Prec@1 63.281 (59.694) Prec@5 85.156 (81.336) Epoch: [47][1510/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 1.5677 (1.7688) Prec@1 61.719 (59.686) Prec@5 84.375 (81.334) Epoch: [47][1520/10010] Time 0.317 (0.333) Data 0.001 (0.002) Loss 1.6296 (1.7697) Prec@1 60.938 (59.673) Prec@5 81.250 (81.315) Epoch: [47][1530/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.8111 (1.7697) Prec@1 60.156 (59.673) Prec@5 81.250 (81.310) Epoch: [47][1540/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.9529 (1.7696) Prec@1 50.000 (59.678) Prec@5 77.344 (81.317) Epoch: [47][1550/10010] Time 0.346 (0.333) Data 0.001 (0.002) Loss 1.6878 (1.7705) Prec@1 60.938 (59.660) Prec@5 80.469 (81.304) Epoch: [47][1560/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 1.6564 (1.7704) Prec@1 59.375 (59.659) Prec@5 85.938 (81.307) Epoch: [47][1570/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 1.6633 (1.7705) Prec@1 58.594 (59.656) Prec@5 84.375 (81.309) Epoch: [47][1580/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 2.0803 (1.7709) Prec@1 54.688 (59.647) Prec@5 75.781 (81.308) Epoch: [47][1590/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.8499 (1.7710) Prec@1 60.938 (59.642) Prec@5 79.688 (81.305) Epoch: [47][1600/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 1.8538 (1.7716) Prec@1 60.938 (59.630) Prec@5 82.031 (81.290) Epoch: [47][1610/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.6529 (1.7714) Prec@1 65.625 (59.636) Prec@5 83.594 (81.293) Epoch: [47][1620/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.8328 (1.7721) Prec@1 61.719 (59.625) Prec@5 80.469 (81.284) Epoch: [47][1630/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.9467 (1.7721) Prec@1 53.125 (59.617) Prec@5 78.125 (81.285) Epoch: [47][1640/10010] Time 0.315 (0.333) Data 0.001 (0.002) Loss 1.6540 (1.7725) Prec@1 66.406 (59.616) Prec@5 79.688 (81.278) Epoch: [47][1650/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.4965 (1.7717) Prec@1 70.312 (59.636) Prec@5 85.156 (81.292) Epoch: [47][1660/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 1.7884 (1.7726) Prec@1 53.125 (59.613) Prec@5 83.594 (81.277) Epoch: [47][1670/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 2.0117 (1.7723) Prec@1 57.031 (59.614) Prec@5 79.688 (81.291) Epoch: [47][1680/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 1.5486 (1.7722) Prec@1 65.625 (59.628) Prec@5 81.250 (81.292) Epoch: [47][1690/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.7650 (1.7721) Prec@1 60.938 (59.622) Prec@5 82.031 (81.293) Epoch: [47][1700/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.9710 (1.7721) Prec@1 57.031 (59.618) Prec@5 77.344 (81.293) Epoch: [47][1710/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 2.0758 (1.7722) Prec@1 53.125 (59.630) Prec@5 75.000 (81.294) Epoch: [47][1720/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.6674 (1.7722) Prec@1 64.844 (59.636) Prec@5 82.812 (81.293) Epoch: [47][1730/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.9793 (1.7720) Prec@1 53.125 (59.633) Prec@5 76.562 (81.294) Epoch: [47][1740/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.5463 (1.7717) Prec@1 59.375 (59.634) Prec@5 87.500 (81.305) Epoch: [47][1750/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.9288 (1.7714) Prec@1 61.719 (59.641) Prec@5 77.344 (81.306) Epoch: [47][1760/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.9320 (1.7710) Prec@1 59.375 (59.651) Prec@5 78.125 (81.313) Epoch: [47][1770/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.6843 (1.7700) Prec@1 61.719 (59.679) Prec@5 83.594 (81.324) Epoch: [47][1780/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 1.6511 (1.7699) Prec@1 62.500 (59.680) Prec@5 86.719 (81.322) Epoch: [47][1790/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 1.8326 (1.7701) Prec@1 61.719 (59.678) Prec@5 78.906 (81.312) Epoch: [47][1800/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 1.4666 (1.7697) Prec@1 63.281 (59.680) Prec@5 87.500 (81.318) Epoch: [47][1810/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 1.6998 (1.7692) Prec@1 64.062 (59.699) Prec@5 87.500 (81.324) Epoch: [47][1820/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 1.7197 (1.7693) Prec@1 64.062 (59.690) Prec@5 82.812 (81.324) Epoch: [47][1830/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 1.8437 (1.7700) Prec@1 56.250 (59.684) Prec@5 82.812 (81.314) Epoch: [47][1840/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 1.7454 (1.7697) Prec@1 60.156 (59.690) Prec@5 81.250 (81.317) Epoch: [47][1850/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.0560 (1.7702) Prec@1 57.031 (59.684) Prec@5 77.344 (81.309) Epoch: [47][1860/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 1.9374 (1.7705) Prec@1 53.125 (59.670) Prec@5 78.906 (81.302) Epoch: [47][1870/10010] Time 0.324 (0.333) Data 0.000 (0.002) Loss 1.8548 (1.7708) Prec@1 62.500 (59.665) Prec@5 80.469 (81.301) Epoch: [47][1880/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 1.7751 (1.7709) Prec@1 59.375 (59.659) Prec@5 79.688 (81.296) Epoch: [47][1890/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 1.8115 (1.7716) Prec@1 58.594 (59.648) Prec@5 84.375 (81.288) Epoch: [47][1900/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.3334 (1.7714) Prec@1 71.094 (59.651) Prec@5 87.500 (81.288) Epoch: [47][1910/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.7106 (1.7715) Prec@1 60.938 (59.653) Prec@5 82.812 (81.285) Epoch: [47][1920/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.8196 (1.7714) Prec@1 60.156 (59.664) Prec@5 79.688 (81.287) Epoch: [47][1930/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 1.7226 (1.7712) Prec@1 54.688 (59.661) Prec@5 80.469 (81.292) Epoch: [47][1940/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.5774 (1.7710) Prec@1 58.594 (59.656) Prec@5 86.719 (81.302) Epoch: [47][1950/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 1.5703 (1.7709) Prec@1 64.062 (59.657) Prec@5 82.031 (81.303) Epoch: [47][1960/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.6062 (1.7712) Prec@1 66.406 (59.655) Prec@5 87.500 (81.297) Epoch: [47][1970/10010] Time 0.322 (0.333) Data 0.001 (0.002) Loss 1.5783 (1.7710) Prec@1 64.062 (59.654) Prec@5 87.500 (81.305) Epoch: [47][1980/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.5404 (1.7711) Prec@1 64.062 (59.650) Prec@5 82.812 (81.296) Epoch: [47][1990/10010] Time 0.314 (0.333) Data 0.001 (0.002) Loss 1.9236 (1.7712) Prec@1 58.594 (59.645) Prec@5 79.688 (81.294) Epoch: [47][2000/10010] Time 0.320 (0.333) Data 0.001 (0.002) Loss 1.8111 (1.7710) Prec@1 59.375 (59.653) Prec@5 80.469 (81.293) Epoch: [47][2010/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 1.9114 (1.7717) Prec@1 58.594 (59.647) Prec@5 82.031 (81.286) Epoch: [47][2020/10010] Time 0.349 (0.333) Data 0.001 (0.002) Loss 1.8305 (1.7718) Prec@1 62.500 (59.645) Prec@5 78.125 (81.289) Epoch: [47][2030/10010] Time 0.320 (0.333) Data 0.000 (0.002) Loss 1.5520 (1.7715) Prec@1 65.625 (59.655) Prec@5 82.031 (81.292) Epoch: [47][2040/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.0138 (1.7713) Prec@1 51.562 (59.653) Prec@5 75.781 (81.297) Epoch: [47][2050/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 1.6297 (1.7714) Prec@1 63.281 (59.653) Prec@5 78.125 (81.294) Epoch: [47][2060/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 1.6340 (1.7717) Prec@1 64.062 (59.652) Prec@5 81.250 (81.286) Epoch: [47][2070/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 1.7717 (1.7718) Prec@1 60.156 (59.653) Prec@5 85.156 (81.286) Epoch: [47][2080/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.9134 (1.7716) Prec@1 58.594 (59.650) Prec@5 79.688 (81.291) Epoch: [47][2090/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 1.8016 (1.7716) Prec@1 57.031 (59.656) Prec@5 80.469 (81.287) Epoch: [47][2100/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 1.5623 (1.7718) Prec@1 60.156 (59.647) Prec@5 85.938 (81.290) Epoch: [47][2110/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 1.5458 (1.7718) Prec@1 60.938 (59.653) Prec@5 81.250 (81.290) Epoch: [47][2120/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.5677 (1.7719) Prec@1 60.156 (59.648) Prec@5 85.156 (81.290) Epoch: [47][2130/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.6838 (1.7719) Prec@1 64.844 (59.657) Prec@5 81.250 (81.287) /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][2140/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 1.3291 (1.7717) Prec@1 67.188 (59.657) Prec@5 89.062 (81.296) Epoch: [47][2150/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.9659 (1.7723) Prec@1 49.219 (59.642) Prec@5 74.219 (81.287) Epoch: [47][2160/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.9100 (1.7723) Prec@1 60.156 (59.640) Prec@5 80.469 (81.290) Epoch: [47][2170/10010] Time 0.342 (0.333) Data 0.000 (0.002) Loss 1.8995 (1.7727) Prec@1 57.031 (59.638) Prec@5 79.688 (81.282) Epoch: [47][2180/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.7062 (1.7728) Prec@1 60.156 (59.638) Prec@5 88.281 (81.282) Epoch: [47][2190/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.8056 (1.7728) Prec@1 57.812 (59.639) Prec@5 77.344 (81.282) Epoch: [47][2200/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.7070 (1.7733) Prec@1 58.594 (59.633) Prec@5 81.250 (81.273) Epoch: [47][2210/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 1.8864 (1.7734) Prec@1 58.594 (59.638) Prec@5 72.656 (81.270) Epoch: [47][2220/10010] Time 0.318 (0.333) Data 0.000 (0.002) Loss 2.0123 (1.7736) Prec@1 52.344 (59.634) Prec@5 74.219 (81.269) Epoch: [47][2230/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 1.7939 (1.7736) Prec@1 57.812 (59.634) Prec@5 82.812 (81.270) Epoch: [47][2240/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 1.6116 (1.7740) Prec@1 54.688 (59.622) Prec@5 83.594 (81.266) Epoch: [47][2250/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.9490 (1.7744) Prec@1 60.938 (59.618) Prec@5 78.906 (81.263) Epoch: [47][2260/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.6664 (1.7743) Prec@1 65.625 (59.622) Prec@5 84.375 (81.265) Epoch: [47][2270/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.7001 (1.7746) Prec@1 60.938 (59.610) Prec@5 80.469 (81.263) Epoch: [47][2280/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 1.4445 (1.7746) Prec@1 64.844 (59.605) Prec@5 89.062 (81.256) Epoch: [47][2290/10010] Time 0.334 (0.333) Data 0.000 (0.002) Loss 1.6777 (1.7741) Prec@1 62.500 (59.614) Prec@5 82.812 (81.264) Epoch: [47][2300/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.6361 (1.7745) Prec@1 57.812 (59.605) Prec@5 82.812 (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 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][2310/10010] Time 0.335 (0.333) Data 0.000 (0.002) Loss 1.8224 (1.7743) Prec@1 58.594 (59.617) Prec@5 82.031 (81.268) Epoch: [47][2320/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.9451 (1.7744) Prec@1 56.250 (59.616) Prec@5 76.562 (81.263) Epoch: [47][2330/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.6499 (1.7741) Prec@1 65.625 (59.625) Prec@5 84.375 (81.269) Epoch: [47][2340/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.6741 (1.7741) Prec@1 61.719 (59.630) Prec@5 81.250 (81.259) Epoch: [47][2350/10010] Time 0.352 (0.333) Data 0.000 (0.002) Loss 1.6075 (1.7743) Prec@1 64.062 (59.626) Prec@5 83.594 (81.252) Epoch: [47][2360/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 2.1003 (1.7745) Prec@1 57.031 (59.622) Prec@5 76.562 (81.246) Epoch: [47][2370/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.5151 (1.7748) Prec@1 64.062 (59.624) Prec@5 81.250 (81.243) Epoch: [47][2380/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 1.7480 (1.7749) Prec@1 60.156 (59.618) Prec@5 76.562 (81.237) Epoch: [47][2390/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.7701 (1.7749) Prec@1 57.031 (59.613) Prec@5 80.469 (81.239) Epoch: [47][2400/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.9528 (1.7746) Prec@1 52.344 (59.615) Prec@5 81.250 (81.243) Epoch: [47][2410/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.5915 (1.7744) Prec@1 62.500 (59.619) Prec@5 85.156 (81.245) Epoch: [47][2420/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.5480 (1.7746) Prec@1 64.062 (59.612) Prec@5 85.938 (81.241) Epoch: [47][2430/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.4830 (1.7746) Prec@1 64.062 (59.605) Prec@5 85.938 (81.244) Epoch: [47][2440/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.8071 (1.7745) Prec@1 54.688 (59.611) Prec@5 77.344 (81.245) Epoch: [47][2450/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8162 (1.7744) Prec@1 56.250 (59.609) Prec@5 82.812 (81.245) Epoch: [47][2460/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 2.0181 (1.7744) Prec@1 54.688 (59.613) Prec@5 76.562 (81.243) Epoch: [47][2470/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8374 (1.7743) Prec@1 61.719 (59.615) Prec@5 78.125 (81.244) Epoch: [47][2480/10010] Time 0.350 (0.332) Data 0.001 (0.002) Loss 1.5379 (1.7743) Prec@1 63.281 (59.613) Prec@5 85.156 (81.243) Epoch: [47][2490/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.7467 (1.7741) Prec@1 58.594 (59.618) Prec@5 84.375 (81.242) Epoch: [47][2500/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.7092 (1.7740) Prec@1 59.375 (59.617) Prec@5 82.812 (81.241) Epoch: [47][2510/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.4002 (1.7741) Prec@1 71.875 (59.616) Prec@5 85.156 (81.238) Epoch: [47][2520/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.7143 (1.7744) Prec@1 58.594 (59.607) Prec@5 83.594 (81.236) Epoch: [47][2530/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.5698 (1.7747) Prec@1 61.719 (59.602) Prec@5 80.469 (81.232) Epoch: [47][2540/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.9767 (1.7748) Prec@1 50.000 (59.596) Prec@5 81.250 (81.232) Epoch: [47][2550/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.5454 (1.7750) Prec@1 67.188 (59.594) Prec@5 84.375 (81.232) Epoch: [47][2560/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.8693 (1.7749) Prec@1 64.844 (59.598) Prec@5 79.688 (81.237) Epoch: [47][2570/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.7159 (1.7749) Prec@1 64.062 (59.594) Prec@5 80.469 (81.235) Epoch: [47][2580/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.6756 (1.7747) Prec@1 61.719 (59.606) Prec@5 84.375 (81.241) Epoch: [47][2590/10010] Time 0.332 (0.332) Data 0.003 (0.002) Loss 1.8761 (1.7749) Prec@1 54.688 (59.602) Prec@5 82.031 (81.240) Epoch: [47][2600/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.6662 (1.7748) Prec@1 63.281 (59.608) Prec@5 85.156 (81.245) Epoch: [47][2610/10010] Time 0.329 (0.332) Data 0.001 (0.002) Loss 1.6995 (1.7746) Prec@1 60.938 (59.609) Prec@5 85.156 (81.244) Epoch: [47][2620/10010] Time 0.348 (0.332) Data 0.000 (0.002) Loss 1.4899 (1.7746) Prec@1 60.156 (59.612) Prec@5 85.156 (81.247) Epoch: [47][2630/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.9942 (1.7744) Prec@1 51.562 (59.613) Prec@5 77.344 (81.248) Epoch: [47][2640/10010] Time 0.350 (0.332) Data 0.000 (0.002) Loss 1.8294 (1.7747) Prec@1 56.250 (59.613) Prec@5 78.906 (81.241) Epoch: [47][2650/10010] Time 0.314 (0.332) Data 0.001 (0.002) Loss 2.2515 (1.7747) Prec@1 47.656 (59.610) Prec@5 73.438 (81.242) Epoch: [47][2660/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.7092 (1.7747) Prec@1 61.719 (59.608) Prec@5 79.688 (81.239) Epoch: [47][2670/10010] Time 0.319 (0.332) Data 0.003 (0.002) Loss 1.8346 (1.7752) Prec@1 56.250 (59.597) Prec@5 81.250 (81.235) Epoch: [47][2680/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 2.0441 (1.7752) Prec@1 48.438 (59.595) Prec@5 78.125 (81.234) Epoch: [47][2690/10010] Time 0.330 (0.332) Data 0.000 (0.002) Loss 1.6485 (1.7755) Prec@1 66.406 (59.587) Prec@5 85.156 (81.231) Epoch: [47][2700/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 2.0471 (1.7759) Prec@1 55.469 (59.579) Prec@5 80.469 (81.225) Epoch: [47][2710/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.6754 (1.7759) Prec@1 63.281 (59.577) Prec@5 84.375 (81.228) Epoch: [47][2720/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.7942 (1.7760) Prec@1 60.938 (59.577) Prec@5 82.031 (81.227) Epoch: [47][2730/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.5601 (1.7757) Prec@1 59.375 (59.583) Prec@5 84.375 (81.228) Epoch: [47][2740/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.9187 (1.7757) Prec@1 53.125 (59.577) Prec@5 78.906 (81.230) Epoch: [47][2750/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8460 (1.7757) Prec@1 53.906 (59.575) Prec@5 85.156 (81.230) Epoch: [47][2760/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.6401 (1.7757) Prec@1 63.281 (59.575) Prec@5 82.031 (81.230) Epoch: [47][2770/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.8433 (1.7755) Prec@1 57.812 (59.574) Prec@5 81.250 (81.232) Epoch: [47][2780/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.6889 (1.7755) Prec@1 60.938 (59.568) Prec@5 80.469 (81.233) Epoch: [47][2790/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 2.3142 (1.7758) Prec@1 59.375 (59.568) Prec@5 74.219 (81.228) Epoch: [47][2800/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.6458 (1.7761) Prec@1 64.062 (59.564) Prec@5 80.469 (81.224) Epoch: [47][2810/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.9387 (1.7764) Prec@1 52.344 (59.559) Prec@5 81.250 (81.221) Epoch: [47][2820/10010] Time 0.314 (0.332) Data 0.000 (0.002) Loss 1.7489 (1.7764) Prec@1 60.938 (59.560) Prec@5 75.000 (81.221) Epoch: [47][2830/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.7428 (1.7767) Prec@1 61.719 (59.555) Prec@5 81.250 (81.219) Epoch: [47][2840/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7507 (1.7771) Prec@1 59.375 (59.546) Prec@5 82.031 (81.209) Epoch: [47][2850/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.5389 (1.7771) Prec@1 64.062 (59.550) Prec@5 84.375 (81.208) Epoch: [47][2860/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8685 (1.7769) Prec@1 57.812 (59.551) Prec@5 78.906 (81.208) Epoch: [47][2870/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.8078 (1.7774) Prec@1 59.375 (59.546) Prec@5 82.812 (81.203) Epoch: [47][2880/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.7938 (1.7781) Prec@1 64.062 (59.536) Prec@5 81.250 (81.195) Epoch: [47][2890/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.0419 (1.7783) Prec@1 57.812 (59.532) Prec@5 75.781 (81.188) Epoch: [47][2900/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.8808 (1.7782) Prec@1 57.812 (59.538) Prec@5 76.562 (81.188) Epoch: [47][2910/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.7995 (1.7782) Prec@1 54.688 (59.533) Prec@5 79.688 (81.191) Epoch: [47][2920/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.7813 (1.7779) Prec@1 60.156 (59.541) Prec@5 83.594 (81.194) Epoch: [47][2930/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.9266 (1.7779) Prec@1 63.281 (59.543) Prec@5 78.125 (81.195) Epoch: [47][2940/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.6900 (1.7782) Prec@1 57.812 (59.540) Prec@5 79.688 (81.187) Epoch: [47][2950/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.7446 (1.7782) Prec@1 64.844 (59.541) Prec@5 81.250 (81.188) Epoch: [47][2960/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 2.3757 (1.7788) Prec@1 52.344 (59.530) Prec@5 68.750 (81.177) Epoch: [47][2970/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.8681 (1.7788) Prec@1 50.781 (59.530) Prec@5 82.812 (81.176) Epoch: [47][2980/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6545 (1.7788) Prec@1 61.719 (59.533) Prec@5 83.594 (81.174) Epoch: [47][2990/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6540 (1.7790) Prec@1 60.156 (59.529) Prec@5 80.469 (81.169) Epoch: [47][3000/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.8223 (1.7791) Prec@1 59.375 (59.529) Prec@5 81.250 (81.166) Epoch: [47][3010/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.5787 (1.7793) Prec@1 64.062 (59.525) Prec@5 85.156 (81.161) Epoch: [47][3020/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.6324 (1.7793) Prec@1 60.156 (59.524) Prec@5 85.156 (81.162) Epoch: [47][3030/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 2.0110 (1.7795) Prec@1 53.125 (59.521) Prec@5 75.781 (81.154) Epoch: [47][3040/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.8585 (1.7795) Prec@1 55.469 (59.520) Prec@5 78.906 (81.153) Epoch: [47][3050/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.7320 (1.7793) Prec@1 53.125 (59.516) Prec@5 80.469 (81.152) Epoch: [47][3060/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.6262 (1.7793) Prec@1 61.719 (59.517) Prec@5 81.250 (81.154) Epoch: [47][3070/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.5539 (1.7792) Prec@1 59.375 (59.516) Prec@5 87.500 (81.156) Epoch: [47][3080/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.4336 (1.7791) Prec@1 67.969 (59.517) Prec@5 86.719 (81.160) Epoch: [47][3090/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5904 (1.7791) Prec@1 64.844 (59.520) Prec@5 84.375 (81.156) Epoch: [47][3100/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6852 (1.7794) Prec@1 63.281 (59.511) Prec@5 85.156 (81.151) Epoch: [47][3110/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7987 (1.7790) Prec@1 56.250 (59.515) Prec@5 81.250 (81.155) Epoch: [47][3120/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.5434 (1.7789) Prec@1 62.500 (59.518) Prec@5 86.719 (81.153) Epoch: [47][3130/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8375 (1.7789) Prec@1 57.031 (59.512) Prec@5 79.688 (81.154) Epoch: [47][3140/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.5693 (1.7789) Prec@1 64.844 (59.511) Prec@5 85.938 (81.155) Epoch: [47][3150/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8728 (1.7787) Prec@1 52.344 (59.511) Prec@5 82.812 (81.163) Epoch: [47][3160/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7350 (1.7786) Prec@1 61.719 (59.509) Prec@5 78.906 (81.163) Epoch: [47][3170/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8517 (1.7786) Prec@1 57.812 (59.515) Prec@5 80.469 (81.163) Epoch: [47][3180/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9003 (1.7785) Prec@1 59.375 (59.520) Prec@5 83.594 (81.165) Epoch: [47][3190/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8196 (1.7785) Prec@1 60.156 (59.523) Prec@5 81.250 (81.166) Epoch: [47][3200/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.3304 (1.7781) Prec@1 65.625 (59.534) Prec@5 88.281 (81.168) Epoch: [47][3210/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7157 (1.7784) Prec@1 64.062 (59.530) Prec@5 83.594 (81.162) Epoch: [47][3220/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.5359 (1.7783) Prec@1 64.844 (59.533) Prec@5 85.156 (81.162) Epoch: [47][3230/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.4079 (1.7782) Prec@1 65.625 (59.534) Prec@5 88.281 (81.164) Epoch: [47][3240/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8221 (1.7784) Prec@1 60.156 (59.530) Prec@5 83.594 (81.159) Epoch: [47][3250/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7909 (1.7782) Prec@1 59.375 (59.530) Prec@5 81.250 (81.163) Epoch: [47][3260/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6586 (1.7779) Prec@1 59.375 (59.536) Prec@5 83.594 (81.165) Epoch: [47][3270/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7097 (1.7778) Prec@1 55.469 (59.533) Prec@5 82.031 (81.167) Epoch: [47][3280/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7083 (1.7779) Prec@1 62.500 (59.532) Prec@5 82.031 (81.165) Epoch: [47][3290/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.5445 (1.7781) Prec@1 57.031 (59.522) Prec@5 84.375 (81.161) Epoch: [47][3300/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8367 (1.7781) Prec@1 59.375 (59.520) Prec@5 77.344 (81.162) Epoch: [47][3310/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6479 (1.7783) Prec@1 65.625 (59.521) Prec@5 82.812 (81.159) Epoch: [47][3320/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9289 (1.7784) Prec@1 60.156 (59.525) Prec@5 80.469 (81.157) Epoch: [47][3330/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.8497 (1.7784) Prec@1 53.906 (59.520) Prec@5 81.250 (81.158) Epoch: [47][3340/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8815 (1.7782) Prec@1 61.719 (59.525) Prec@5 77.344 (81.161) Epoch: [47][3350/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9340 (1.7784) Prec@1 58.594 (59.520) Prec@5 77.344 (81.158) Epoch: [47][3360/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.7339 (1.7785) Prec@1 64.844 (59.524) Prec@5 79.688 (81.154) Epoch: [47][3370/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8174 (1.7784) Prec@1 57.031 (59.520) Prec@5 80.469 (81.157) Epoch: [47][3380/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5635 (1.7785) Prec@1 63.281 (59.521) Prec@5 85.938 (81.155) Epoch: [47][3390/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6668 (1.7783) Prec@1 60.938 (59.524) Prec@5 83.594 (81.161) Epoch: [47][3400/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8220 (1.7782) Prec@1 59.375 (59.525) Prec@5 81.250 (81.164) Epoch: [47][3410/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5400 (1.7784) Prec@1 62.500 (59.523) Prec@5 86.719 (81.163) Epoch: [47][3420/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.6555 (1.7784) Prec@1 64.062 (59.524) Prec@5 83.594 (81.158) Epoch: [47][3430/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8675 (1.7786) Prec@1 54.688 (59.520) Prec@5 79.688 (81.158) Epoch: [47][3440/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8968 (1.7785) Prec@1 57.812 (59.519) Prec@5 79.688 (81.161) Epoch: [47][3450/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8403 (1.7783) Prec@1 58.594 (59.520) Prec@5 79.688 (81.165) Epoch: [47][3460/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8719 (1.7784) Prec@1 54.688 (59.520) Prec@5 81.250 (81.167) Epoch: [47][3470/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.1212 (1.7788) Prec@1 53.906 (59.515) Prec@5 75.781 (81.160) Epoch: [47][3480/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7447 (1.7786) Prec@1 53.906 (59.514) Prec@5 83.594 (81.166) Epoch: [47][3490/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8949 (1.7787) Prec@1 58.594 (59.514) Prec@5 78.906 (81.162) Epoch: [47][3500/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7312 (1.7788) Prec@1 58.594 (59.511) Prec@5 85.156 (81.164) Epoch: [47][3510/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.6696 (1.7788) Prec@1 62.500 (59.514) Prec@5 83.594 (81.163) Epoch: [47][3520/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.6055 (1.7789) Prec@1 64.062 (59.515) Prec@5 82.031 (81.163) Epoch: [47][3530/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1173 (1.7789) Prec@1 53.125 (59.512) Prec@5 75.781 (81.163) Epoch: [47][3540/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7101 (1.7789) Prec@1 60.938 (59.512) Prec@5 81.250 (81.161) Epoch: [47][3550/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0069 (1.7793) Prec@1 54.688 (59.500) Prec@5 80.469 (81.159) Epoch: [47][3560/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.6235 (1.7791) Prec@1 58.594 (59.506) Prec@5 81.250 (81.162) Epoch: [47][3570/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 1.5248 (1.7790) Prec@1 62.500 (59.509) Prec@5 85.156 (81.166) Epoch: [47][3580/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8501 (1.7790) Prec@1 60.938 (59.509) Prec@5 82.031 (81.168) Epoch: [47][3590/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0094 (1.7789) Prec@1 53.906 (59.507) Prec@5 77.344 (81.169) Epoch: [47][3600/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6406 (1.7789) Prec@1 60.156 (59.509) Prec@5 85.938 (81.169) Epoch: [47][3610/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.1204 (1.7788) Prec@1 57.031 (59.512) Prec@5 77.344 (81.168) Epoch: [47][3620/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.5173 (1.7793) Prec@1 63.281 (59.500) Prec@5 85.156 (81.162) Epoch: [47][3630/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7030 (1.7793) Prec@1 64.062 (59.500) Prec@5 82.031 (81.163) Epoch: [47][3640/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7968 (1.7792) Prec@1 62.500 (59.502) Prec@5 78.906 (81.162) Epoch: [47][3650/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7215 (1.7794) Prec@1 63.281 (59.500) Prec@5 82.812 (81.161) Epoch: [47][3660/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8771 (1.7795) Prec@1 58.594 (59.500) Prec@5 80.469 (81.159) Epoch: [47][3670/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8662 (1.7795) Prec@1 62.500 (59.497) Prec@5 81.250 (81.158) Epoch: [47][3680/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6845 (1.7799) Prec@1 62.500 (59.492) Prec@5 85.156 (81.152) Epoch: [47][3690/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8274 (1.7798) Prec@1 63.281 (59.493) Prec@5 85.156 (81.153) Epoch: [47][3700/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8443 (1.7798) Prec@1 58.594 (59.496) Prec@5 82.812 (81.158) Epoch: [47][3710/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.4788 (1.7798) Prec@1 67.188 (59.501) Prec@5 85.156 (81.159) Epoch: [47][3720/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8143 (1.7800) Prec@1 58.594 (59.493) Prec@5 80.469 (81.156) Epoch: [47][3730/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.1155 (1.7803) Prec@1 49.219 (59.486) Prec@5 74.219 (81.152) Epoch: [47][3740/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 2.0080 (1.7804) Prec@1 56.250 (59.484) Prec@5 76.562 (81.151) Epoch: [47][3750/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.4871 (1.7802) Prec@1 58.594 (59.487) Prec@5 85.156 (81.150) Epoch: [47][3760/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.1128 (1.7803) Prec@1 53.906 (59.484) Prec@5 78.125 (81.151) Epoch: [47][3770/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5505 (1.7803) Prec@1 65.625 (59.485) Prec@5 82.812 (81.151) Epoch: [47][3780/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6428 (1.7804) Prec@1 63.281 (59.484) Prec@5 82.812 (81.150) Epoch: [47][3790/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7832 (1.7804) Prec@1 62.500 (59.483) Prec@5 82.031 (81.152) Epoch: [47][3800/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.4479 (1.7804) Prec@1 63.281 (59.484) Prec@5 86.719 (81.154) Epoch: [47][3810/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8142 (1.7803) Prec@1 59.375 (59.482) Prec@5 81.250 (81.152) Epoch: [47][3820/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.0899 (1.7806) Prec@1 53.125 (59.479) Prec@5 78.125 (81.152) Epoch: [47][3830/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9119 (1.7807) Prec@1 56.250 (59.475) Prec@5 75.000 (81.148) Epoch: [47][3840/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6761 (1.7807) Prec@1 63.281 (59.478) Prec@5 83.594 (81.149) Epoch: [47][3850/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9714 (1.7807) Prec@1 52.344 (59.476) Prec@5 78.125 (81.149) Epoch: [47][3860/10010] Time 0.358 (0.332) Data 0.000 (0.001) Loss 1.7050 (1.7807) Prec@1 62.500 (59.472) Prec@5 82.812 (81.150) Epoch: [47][3870/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.7086 (1.7809) Prec@1 58.594 (59.468) Prec@5 85.938 (81.148) Epoch: [47][3880/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9614 (1.7809) Prec@1 57.031 (59.468) Prec@5 77.344 (81.149) Epoch: [47][3890/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.0018 (1.7810) Prec@1 57.812 (59.465) Prec@5 79.688 (81.145) /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][3900/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8111 (1.7810) Prec@1 59.375 (59.462) Prec@5 82.812 (81.146) Epoch: [47][3910/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7797 (1.7810) Prec@1 61.719 (59.462) Prec@5 83.594 (81.147) Epoch: [47][3920/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9516 (1.7814) Prec@1 56.250 (59.453) Prec@5 78.125 (81.142) Epoch: [47][3930/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7102 (1.7815) Prec@1 60.156 (59.450) Prec@5 80.469 (81.143) Epoch: [47][3940/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5048 (1.7814) Prec@1 65.625 (59.450) Prec@5 86.719 (81.143) Epoch: [47][3950/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 1.7764 (1.7816) Prec@1 58.594 (59.447) Prec@5 82.031 (81.142) Epoch: [47][3960/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6878 (1.7814) Prec@1 65.625 (59.451) Prec@5 84.375 (81.144) Epoch: [47][3970/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9060 (1.7813) Prec@1 59.375 (59.455) Prec@5 79.688 (81.147) Epoch: [47][3980/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.9070 (1.7813) Prec@1 53.906 (59.454) Prec@5 79.688 (81.149) Epoch: [47][3990/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.9339 (1.7813) Prec@1 65.625 (59.455) Prec@5 79.688 (81.148) Epoch: [47][4000/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.5541 (1.7813) Prec@1 57.812 (59.450) Prec@5 85.156 (81.149) Epoch: [47][4010/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8389 (1.7815) Prec@1 58.594 (59.449) Prec@5 79.688 (81.145) Epoch: [47][4020/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9831 (1.7814) Prec@1 57.812 (59.450) Prec@5 79.688 (81.144) Epoch: [47][4030/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.5618 (1.7812) Prec@1 63.281 (59.459) Prec@5 82.812 (81.146) Epoch: [47][4040/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.0080 (1.7811) Prec@1 63.281 (59.464) Prec@5 77.344 (81.148) Epoch: [47][4050/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6830 (1.7814) Prec@1 61.719 (59.457) Prec@5 86.719 (81.141) Epoch: [47][4060/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9049 (1.7816) Prec@1 53.125 (59.453) Prec@5 79.688 (81.138) Epoch: [47][4070/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8460 (1.7816) Prec@1 57.031 (59.455) Prec@5 82.031 (81.138) Epoch: [47][4080/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7291 (1.7815) Prec@1 59.375 (59.455) Prec@5 80.469 (81.138) Epoch: [47][4090/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8222 (1.7815) Prec@1 55.469 (59.454) Prec@5 80.469 (81.137) Epoch: [47][4100/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7553 (1.7817) Prec@1 60.156 (59.447) Prec@5 82.031 (81.136) Epoch: [47][4110/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9769 (1.7815) Prec@1 57.812 (59.448) Prec@5 75.781 (81.140) Epoch: [47][4120/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.3607 (1.7815) Prec@1 69.531 (59.445) Prec@5 87.500 (81.139) Epoch: [47][4130/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8092 (1.7816) Prec@1 61.719 (59.444) Prec@5 78.906 (81.134) Epoch: [47][4140/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7950 (1.7817) Prec@1 64.844 (59.444) Prec@5 81.250 (81.134) Epoch: [47][4150/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.9734 (1.7818) Prec@1 56.250 (59.442) Prec@5 78.125 (81.131) Epoch: [47][4160/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0907 (1.7819) Prec@1 53.125 (59.441) Prec@5 78.906 (81.131) Epoch: [47][4170/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.5264 (1.7820) Prec@1 60.156 (59.435) Prec@5 84.375 (81.133) Epoch: [47][4180/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6438 (1.7820) Prec@1 65.625 (59.434) Prec@5 82.812 (81.132) Epoch: [47][4190/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8684 (1.7821) Prec@1 58.594 (59.437) Prec@5 78.906 (81.132) Epoch: [47][4200/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9463 (1.7819) Prec@1 58.594 (59.440) Prec@5 77.344 (81.134) Epoch: [47][4210/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8523 (1.7819) Prec@1 55.469 (59.443) Prec@5 82.031 (81.134) Epoch: [47][4220/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8114 (1.7819) Prec@1 58.594 (59.445) Prec@5 78.125 (81.132) Epoch: [47][4230/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8286 (1.7818) Prec@1 60.156 (59.446) Prec@5 82.812 (81.133) Epoch: [47][4240/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8682 (1.7818) Prec@1 58.594 (59.449) Prec@5 78.125 (81.128) Epoch: [47][4250/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7378 (1.7818) Prec@1 65.625 (59.451) Prec@5 79.688 (81.126) Epoch: [47][4260/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6829 (1.7817) Prec@1 64.844 (59.452) Prec@5 83.594 (81.128) Epoch: [47][4270/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.0060 (1.7819) Prec@1 53.906 (59.449) Prec@5 77.344 (81.125) Epoch: [47][4280/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.5480 (1.7820) Prec@1 57.031 (59.445) Prec@5 86.719 (81.120) Epoch: [47][4290/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.6052 (1.7820) Prec@1 61.719 (59.447) Prec@5 83.594 (81.122) Epoch: [47][4300/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8183 (1.7820) Prec@1 64.062 (59.446) Prec@5 81.250 (81.123) Epoch: [47][4310/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6053 (1.7817) Prec@1 64.844 (59.452) Prec@5 83.594 (81.127) Epoch: [47][4320/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8260 (1.7816) Prec@1 59.375 (59.453) Prec@5 82.031 (81.130) Epoch: [47][4330/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8095 (1.7818) Prec@1 60.156 (59.452) Prec@5 80.469 (81.127) Epoch: [47][4340/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.9230 (1.7818) Prec@1 59.375 (59.455) Prec@5 78.125 (81.125) Epoch: [47][4350/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6203 (1.7817) Prec@1 59.375 (59.458) Prec@5 83.594 (81.129) Epoch: [47][4360/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5284 (1.7818) Prec@1 64.844 (59.459) Prec@5 84.375 (81.130) Epoch: [47][4370/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7374 (1.7818) Prec@1 57.812 (59.461) Prec@5 79.688 (81.128) Epoch: [47][4380/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8279 (1.7817) Prec@1 60.938 (59.460) Prec@5 82.812 (81.131) Epoch: [47][4390/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5795 (1.7819) Prec@1 61.719 (59.459) Prec@5 82.812 (81.129) Epoch: [47][4400/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8855 (1.7821) Prec@1 59.375 (59.455) Prec@5 79.688 (81.124) Epoch: [47][4410/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7157 (1.7820) Prec@1 60.156 (59.457) Prec@5 82.812 (81.125) Epoch: [47][4420/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6734 (1.7821) Prec@1 64.844 (59.456) Prec@5 79.688 (81.122) Epoch: [47][4430/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7738 (1.7821) Prec@1 59.375 (59.457) Prec@5 80.469 (81.122) Epoch: [47][4440/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0449 (1.7822) Prec@1 50.781 (59.454) Prec@5 80.469 (81.123) Epoch: [47][4450/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.7224 (1.7822) Prec@1 53.125 (59.452) Prec@5 83.594 (81.125) Epoch: [47][4460/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9230 (1.7822) Prec@1 55.469 (59.453) Prec@5 76.562 (81.120) Epoch: [47][4470/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8960 (1.7823) Prec@1 55.469 (59.453) Prec@5 80.469 (81.119) Epoch: [47][4480/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.5515 (1.7821) Prec@1 60.156 (59.456) Prec@5 85.938 (81.122) Epoch: [47][4490/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 1.9328 (1.7821) Prec@1 57.031 (59.456) Prec@5 78.125 (81.125) Epoch: [47][4500/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7057 (1.7823) Prec@1 61.719 (59.453) Prec@5 85.938 (81.125) Epoch: [47][4510/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.4677 (1.7822) Prec@1 67.188 (59.458) Prec@5 82.812 (81.125) Epoch: [47][4520/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6733 (1.7822) Prec@1 64.062 (59.459) Prec@5 77.344 (81.123) Epoch: [47][4530/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6167 (1.7822) Prec@1 58.594 (59.458) Prec@5 83.594 (81.124) Epoch: [47][4540/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7673 (1.7821) Prec@1 59.375 (59.463) Prec@5 83.594 (81.126) Epoch: [47][4550/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0185 (1.7821) Prec@1 56.250 (59.466) Prec@5 78.125 (81.127) Epoch: [47][4560/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8561 (1.7820) Prec@1 57.812 (59.470) Prec@5 81.250 (81.126) Epoch: [47][4570/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7307 (1.7821) Prec@1 64.062 (59.468) Prec@5 81.250 (81.128) Epoch: [47][4580/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7478 (1.7821) Prec@1 55.469 (59.467) Prec@5 76.562 (81.128) Epoch: [47][4590/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6440 (1.7820) Prec@1 64.844 (59.466) Prec@5 82.031 (81.128) Epoch: [47][4600/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7015 (1.7819) Prec@1 57.812 (59.465) Prec@5 85.156 (81.132) Epoch: [47][4610/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0448 (1.7818) Prec@1 57.031 (59.468) Prec@5 79.688 (81.132) Epoch: [47][4620/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7688 (1.7820) Prec@1 59.375 (59.467) Prec@5 82.031 (81.129) Epoch: [47][4630/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8587 (1.7819) Prec@1 50.000 (59.466) Prec@5 82.812 (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: [47][4640/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.1904 (1.7819) Prec@1 53.906 (59.469) Prec@5 75.781 (81.131) Epoch: [47][4650/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8290 (1.7818) Prec@1 60.156 (59.473) Prec@5 82.031 (81.133) Epoch: [47][4660/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.8925 (1.7817) Prec@1 57.812 (59.475) Prec@5 82.031 (81.133) Epoch: [47][4670/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9206 (1.7818) Prec@1 53.125 (59.474) Prec@5 75.000 (81.133) Epoch: [47][4680/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6644 (1.7819) Prec@1 63.281 (59.472) Prec@5 82.031 (81.131) Epoch: [47][4690/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6985 (1.7818) Prec@1 57.031 (59.472) Prec@5 83.594 (81.132) Epoch: [47][4700/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9147 (1.7820) Prec@1 56.250 (59.469) Prec@5 75.781 (81.130) Epoch: [47][4710/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8291 (1.7823) Prec@1 55.469 (59.463) Prec@5 81.250 (81.125) Epoch: [47][4720/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6191 (1.7821) Prec@1 64.062 (59.465) Prec@5 85.156 (81.126) Epoch: [47][4730/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6902 (1.7820) Prec@1 64.844 (59.465) Prec@5 87.500 (81.128) Epoch: [47][4740/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5667 (1.7820) Prec@1 63.281 (59.463) Prec@5 85.156 (81.128) Epoch: [47][4750/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8873 (1.7821) Prec@1 61.719 (59.465) Prec@5 78.125 (81.124) Epoch: [47][4760/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9228 (1.7822) Prec@1 56.250 (59.466) Prec@5 80.469 (81.125) Epoch: [47][4770/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.9132 (1.7823) Prec@1 57.812 (59.465) Prec@5 81.250 (81.124) Epoch: [47][4780/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.3978 (1.7821) Prec@1 67.969 (59.472) Prec@5 87.500 (81.129) Epoch: [47][4790/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8835 (1.7821) Prec@1 63.281 (59.473) Prec@5 79.688 (81.129) Epoch: [47][4800/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9590 (1.7821) Prec@1 54.688 (59.471) Prec@5 78.125 (81.127) Epoch: [47][4810/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7916 (1.7821) Prec@1 60.156 (59.475) Prec@5 82.031 (81.127) Epoch: [47][4820/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 1.9780 (1.7822) Prec@1 60.938 (59.473) Prec@5 82.812 (81.125) Epoch: [47][4830/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8277 (1.7822) Prec@1 56.250 (59.473) Prec@5 78.125 (81.123) Epoch: [47][4840/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7529 (1.7824) Prec@1 62.500 (59.471) Prec@5 78.906 (81.120) Epoch: [47][4850/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 1.7241 (1.7823) Prec@1 65.625 (59.471) Prec@5 82.812 (81.120) Epoch: [47][4860/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6587 (1.7821) Prec@1 66.406 (59.475) Prec@5 82.031 (81.122) Epoch: [47][4870/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8389 (1.7820) Prec@1 57.812 (59.477) Prec@5 80.469 (81.126) Epoch: [47][4880/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.0014 (1.7821) Prec@1 57.031 (59.477) Prec@5 75.781 (81.122) Epoch: [47][4890/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.0922 (1.7823) Prec@1 52.344 (59.472) Prec@5 77.344 (81.118) Epoch: [47][4900/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7957 (1.7821) Prec@1 54.688 (59.476) Prec@5 83.594 (81.122) Epoch: [47][4910/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.5854 (1.7821) Prec@1 57.812 (59.476) Prec@5 85.156 (81.124) Epoch: [47][4920/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7781 (1.7821) Prec@1 60.156 (59.477) Prec@5 80.469 (81.123) Epoch: [47][4930/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8385 (1.7820) Prec@1 52.344 (59.480) Prec@5 82.031 (81.126) Epoch: [47][4940/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.5970 (1.7822) Prec@1 65.625 (59.479) Prec@5 83.594 (81.125) Epoch: [47][4950/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6168 (1.7823) Prec@1 64.062 (59.474) Prec@5 78.125 (81.122) Epoch: [47][4960/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.9259 (1.7822) Prec@1 55.469 (59.478) Prec@5 76.562 (81.124) Epoch: [47][4970/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8993 (1.7822) Prec@1 55.469 (59.476) Prec@5 82.031 (81.125) Epoch: [47][4980/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9596 (1.7824) Prec@1 55.469 (59.473) Prec@5 78.906 (81.123) Epoch: [47][4990/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.1134 (1.7826) Prec@1 52.344 (59.466) Prec@5 72.656 (81.118) Epoch: [47][5000/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9923 (1.7826) Prec@1 63.281 (59.470) Prec@5 78.906 (81.121) Epoch: [47][5010/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6333 (1.7827) Prec@1 59.375 (59.467) Prec@5 79.688 (81.118) Epoch: [47][5020/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.5077 (1.7827) Prec@1 65.625 (59.466) Prec@5 86.719 (81.120) Epoch: [47][5030/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6515 (1.7828) Prec@1 61.719 (59.463) Prec@5 79.688 (81.117) Epoch: [47][5040/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8322 (1.7829) Prec@1 61.719 (59.462) Prec@5 80.469 (81.116) Epoch: [47][5050/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6023 (1.7831) Prec@1 57.812 (59.459) Prec@5 85.156 (81.112) Epoch: [47][5060/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.1618 (1.7831) Prec@1 53.906 (59.458) Prec@5 75.000 (81.112) Epoch: [47][5070/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.6332 (1.7832) Prec@1 64.062 (59.455) Prec@5 83.594 (81.108) Epoch: [47][5080/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8429 (1.7833) Prec@1 57.031 (59.451) Prec@5 79.688 (81.105) Epoch: [47][5090/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0352 (1.7836) Prec@1 54.688 (59.442) Prec@5 79.688 (81.102) Epoch: [47][5100/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.4403 (1.7836) Prec@1 68.750 (59.443) Prec@5 83.594 (81.100) Epoch: [47][5110/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6994 (1.7836) Prec@1 64.062 (59.443) Prec@5 82.031 (81.099) Epoch: [47][5120/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8728 (1.7838) Prec@1 57.031 (59.437) Prec@5 74.219 (81.096) Epoch: [47][5130/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0214 (1.7838) Prec@1 54.688 (59.439) Prec@5 78.125 (81.097) Epoch: [47][5140/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.5736 (1.7838) Prec@1 63.281 (59.440) Prec@5 86.719 (81.098) Epoch: [47][5150/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.7646 (1.7838) Prec@1 65.625 (59.441) Prec@5 80.469 (81.097) Epoch: [47][5160/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.3820 (1.7839) Prec@1 70.312 (59.439) Prec@5 88.281 (81.094) Epoch: [47][5170/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8343 (1.7841) Prec@1 59.375 (59.435) Prec@5 82.812 (81.094) Epoch: [47][5180/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0686 (1.7841) Prec@1 56.250 (59.437) Prec@5 73.438 (81.094) Epoch: [47][5190/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8481 (1.7840) Prec@1 57.812 (59.437) Prec@5 80.469 (81.095) Epoch: [47][5200/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.7882 (1.7840) Prec@1 60.156 (59.434) Prec@5 76.562 (81.095) Epoch: [47][5210/10010] Time 0.352 (0.332) Data 0.004 (0.001) Loss 1.5797 (1.7840) Prec@1 61.719 (59.434) Prec@5 84.375 (81.093) Epoch: [47][5220/10010] Time 0.310 (0.332) Data 0.001 (0.001) Loss 2.0747 (1.7839) Prec@1 60.156 (59.437) Prec@5 78.125 (81.096) Epoch: [47][5230/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9218 (1.7840) Prec@1 57.031 (59.437) Prec@5 75.781 (81.095) Epoch: [47][5240/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.5998 (1.7838) Prec@1 61.719 (59.441) Prec@5 83.594 (81.097) Epoch: [47][5250/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.6915 (1.7839) Prec@1 56.250 (59.439) Prec@5 78.906 (81.095) Epoch: [47][5260/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6054 (1.7839) Prec@1 64.062 (59.439) Prec@5 82.031 (81.094) Epoch: [47][5270/10010] Time 0.313 (0.332) Data 0.000 (0.001) Loss 1.9741 (1.7840) Prec@1 57.812 (59.439) Prec@5 79.688 (81.093) Epoch: [47][5280/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7783 (1.7840) Prec@1 57.031 (59.441) Prec@5 82.812 (81.094) Epoch: [47][5290/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9419 (1.7842) Prec@1 57.812 (59.437) Prec@5 79.688 (81.090) Epoch: [47][5300/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7007 (1.7842) Prec@1 63.281 (59.436) Prec@5 81.250 (81.090) Epoch: [47][5310/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5466 (1.7841) Prec@1 62.500 (59.440) Prec@5 79.688 (81.090) Epoch: [47][5320/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.7147 (1.7843) Prec@1 60.938 (59.440) Prec@5 80.469 (81.084) Epoch: [47][5330/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.3260 (1.7844) Prec@1 44.531 (59.436) Prec@5 72.656 (81.084) Epoch: [47][5340/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8392 (1.7845) Prec@1 60.938 (59.432) Prec@5 80.469 (81.081) Epoch: [47][5350/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7181 (1.7844) Prec@1 59.375 (59.431) Prec@5 80.469 (81.083) Epoch: [47][5360/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7450 (1.7846) Prec@1 58.594 (59.428) Prec@5 82.031 (81.082) Epoch: [47][5370/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6963 (1.7847) Prec@1 65.625 (59.430) Prec@5 83.594 (81.082) Epoch: [47][5380/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7172 (1.7848) Prec@1 58.594 (59.427) Prec@5 79.688 (81.081) Epoch: [47][5390/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.3339 (1.7847) Prec@1 68.750 (59.429) Prec@5 86.719 (81.083) Epoch: [47][5400/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8863 (1.7848) Prec@1 53.125 (59.425) Prec@5 77.344 (81.081) Epoch: [47][5410/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6510 (1.7848) Prec@1 64.844 (59.425) Prec@5 85.156 (81.081) Epoch: [47][5420/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7586 (1.7848) Prec@1 62.500 (59.421) Prec@5 82.031 (81.080) Epoch: [47][5430/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7595 (1.7848) Prec@1 58.594 (59.421) Prec@5 82.812 (81.083) Epoch: [47][5440/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8312 (1.7847) Prec@1 54.688 (59.419) Prec@5 80.469 (81.085) Epoch: [47][5450/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6719 (1.7849) Prec@1 60.938 (59.416) Prec@5 81.250 (81.079) Epoch: [47][5460/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9790 (1.7850) Prec@1 52.344 (59.415) Prec@5 81.250 (81.077) Epoch: [47][5470/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6770 (1.7851) Prec@1 59.375 (59.412) Prec@5 85.156 (81.075) Epoch: [47][5480/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9931 (1.7851) Prec@1 57.031 (59.411) Prec@5 77.344 (81.073) Epoch: [47][5490/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9739 (1.7852) Prec@1 56.250 (59.410) Prec@5 78.125 (81.071) Epoch: [47][5500/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.6135 (1.7852) Prec@1 65.625 (59.411) Prec@5 85.156 (81.071) Epoch: [47][5510/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7014 (1.7852) Prec@1 60.156 (59.410) Prec@5 78.125 (81.070) Epoch: [47][5520/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.5349 (1.7852) Prec@1 60.938 (59.411) Prec@5 83.594 (81.070) Epoch: [47][5530/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0103 (1.7853) Prec@1 55.469 (59.410) Prec@5 80.469 (81.070) Epoch: [47][5540/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6870 (1.7852) Prec@1 63.281 (59.411) Prec@5 84.375 (81.072) Epoch: [47][5550/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.4514 (1.7853) Prec@1 63.281 (59.410) Prec@5 88.281 (81.072) Epoch: [47][5560/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6149 (1.7855) Prec@1 64.844 (59.407) Prec@5 84.375 (81.068) Epoch: [47][5570/10010] Time 0.350 (0.332) Data 0.001 (0.001) Loss 1.6732 (1.7854) Prec@1 59.375 (59.408) Prec@5 82.031 (81.070) Epoch: [47][5580/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9635 (1.7855) Prec@1 53.906 (59.405) Prec@5 79.688 (81.069) Epoch: [47][5590/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8660 (1.7856) Prec@1 54.688 (59.401) Prec@5 80.469 (81.068) Epoch: [47][5600/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.1179 (1.7857) Prec@1 49.219 (59.396) Prec@5 73.438 (81.066) Epoch: [47][5610/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6167 (1.7857) Prec@1 61.719 (59.394) Prec@5 82.812 (81.065) Epoch: [47][5620/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7424 (1.7857) Prec@1 59.375 (59.394) Prec@5 85.156 (81.067) Epoch: [47][5630/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9154 (1.7858) Prec@1 57.031 (59.393) Prec@5 82.812 (81.066) Epoch: [47][5640/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8994 (1.7857) Prec@1 57.031 (59.392) Prec@5 82.812 (81.067) Epoch: [47][5650/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8103 (1.7861) Prec@1 55.469 (59.384) Prec@5 80.469 (81.062) Epoch: [47][5660/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5503 (1.7861) Prec@1 64.062 (59.384) Prec@5 85.938 (81.064) Epoch: [47][5670/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9131 (1.7860) Prec@1 59.375 (59.386) Prec@5 78.125 (81.066) Epoch: [47][5680/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6620 (1.7859) Prec@1 61.719 (59.388) Prec@5 85.938 (81.066) Epoch: [47][5690/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.7356 (1.7859) Prec@1 60.156 (59.390) Prec@5 81.250 (81.065) Epoch: [47][5700/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6936 (1.7859) Prec@1 58.594 (59.390) Prec@5 83.594 (81.066) Epoch: [47][5710/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6874 (1.7860) Prec@1 60.156 (59.389) Prec@5 85.938 (81.066) Epoch: [47][5720/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8034 (1.7861) Prec@1 62.500 (59.388) Prec@5 80.469 (81.065) Epoch: [47][5730/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7282 (1.7859) Prec@1 63.281 (59.390) Prec@5 78.906 (81.066) Epoch: [47][5740/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.5545 (1.7858) Prec@1 63.281 (59.392) Prec@5 85.938 (81.070) Epoch: [47][5750/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8173 (1.7859) Prec@1 58.594 (59.389) Prec@5 80.469 (81.069) Epoch: [47][5760/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7946 (1.7860) Prec@1 57.031 (59.384) Prec@5 83.594 (81.066) Epoch: [47][5770/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7289 (1.7859) Prec@1 60.938 (59.385) Prec@5 80.469 (81.067) Epoch: [47][5780/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.4813 (1.7859) Prec@1 66.406 (59.385) Prec@5 85.156 (81.067) Epoch: [47][5790/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.8317 (1.7860) Prec@1 57.812 (59.386) Prec@5 81.250 (81.068) Epoch: [47][5800/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7028 (1.7860) Prec@1 63.281 (59.389) Prec@5 84.375 (81.068) Epoch: [47][5810/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.5023 (1.7860) Prec@1 67.969 (59.392) Prec@5 85.938 (81.066) Epoch: [47][5820/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6647 (1.7861) Prec@1 60.938 (59.389) Prec@5 84.375 (81.065) Epoch: [47][5830/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.6882 (1.7860) Prec@1 59.375 (59.391) Prec@5 82.812 (81.068) Epoch: [47][5840/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8501 (1.7861) Prec@1 61.719 (59.388) Prec@5 77.344 (81.066) Epoch: [47][5850/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7212 (1.7861) Prec@1 60.938 (59.389) Prec@5 80.469 (81.066) Epoch: [47][5860/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9618 (1.7861) Prec@1 53.906 (59.386) Prec@5 76.562 (81.064) Epoch: [47][5870/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7615 (1.7860) Prec@1 52.344 (59.387) Prec@5 82.812 (81.066) Epoch: [47][5880/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6288 (1.7859) Prec@1 61.719 (59.385) Prec@5 82.812 (81.068) Epoch: [47][5890/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5340 (1.7859) Prec@1 64.844 (59.385) Prec@5 82.031 (81.069) Epoch: [47][5900/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.0364 (1.7858) Prec@1 50.000 (59.383) Prec@5 77.344 (81.069) Epoch: [47][5910/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9886 (1.7860) Prec@1 57.812 (59.379) Prec@5 77.344 (81.067) Epoch: [47][5920/10010] Time 0.309 (0.332) Data 0.001 (0.001) Loss 1.8434 (1.7859) Prec@1 60.938 (59.383) Prec@5 79.688 (81.067) Epoch: [47][5930/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6948 (1.7859) Prec@1 64.844 (59.382) Prec@5 86.719 (81.066) Epoch: [47][5940/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8657 (1.7857) Prec@1 59.375 (59.385) Prec@5 76.562 (81.069) Epoch: [47][5950/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7796 (1.7859) Prec@1 56.250 (59.380) Prec@5 80.469 (81.065) Epoch: [47][5960/10010] Time 0.323 (0.332) Data 0.002 (0.001) Loss 1.7114 (1.7858) Prec@1 57.812 (59.381) Prec@5 80.469 (81.066) Epoch: [47][5970/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7143 (1.7857) Prec@1 61.719 (59.383) Prec@5 78.906 (81.066) Epoch: [47][5980/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.6471 (1.7859) Prec@1 60.156 (59.377) Prec@5 83.594 (81.065) Epoch: [47][5990/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7783 (1.7859) Prec@1 60.938 (59.377) Prec@5 81.250 (81.065) Epoch: [47][6000/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.4166 (1.7858) Prec@1 69.531 (59.378) Prec@5 86.719 (81.067) Epoch: [47][6010/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.4784 (1.7857) Prec@1 67.188 (59.379) Prec@5 83.594 (81.067) Epoch: [47][6020/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9383 (1.7857) Prec@1 55.469 (59.378) Prec@5 77.344 (81.068) Epoch: [47][6030/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0607 (1.7859) Prec@1 57.031 (59.376) Prec@5 75.781 (81.067) Epoch: [47][6040/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 2.0334 (1.7859) Prec@1 58.594 (59.378) Prec@5 78.125 (81.066) Epoch: [47][6050/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.5953 (1.7860) Prec@1 58.594 (59.380) Prec@5 82.031 (81.064) Epoch: [47][6060/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 2.2262 (1.7861) Prec@1 49.219 (59.376) Prec@5 75.000 (81.062) Epoch: [47][6070/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0498 (1.7861) Prec@1 57.031 (59.376) Prec@5 82.812 (81.062) Epoch: [47][6080/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.4786 (1.7862) Prec@1 62.500 (59.372) Prec@5 87.500 (81.061) Epoch: [47][6090/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8105 (1.7863) Prec@1 62.500 (59.374) Prec@5 81.250 (81.061) Epoch: [47][6100/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0293 (1.7865) Prec@1 53.125 (59.371) Prec@5 76.562 (81.059) Epoch: [47][6110/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8663 (1.7865) Prec@1 53.906 (59.371) Prec@5 81.250 (81.060) Epoch: [47][6120/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7513 (1.7865) Prec@1 60.938 (59.372) Prec@5 83.594 (81.060) Epoch: [47][6130/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.1504 (1.7868) Prec@1 57.031 (59.366) Prec@5 74.219 (81.056) Epoch: [47][6140/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6205 (1.7868) Prec@1 60.156 (59.369) Prec@5 83.594 (81.058) Epoch: [47][6150/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8102 (1.7869) Prec@1 57.031 (59.366) Prec@5 82.812 (81.057) Epoch: [47][6160/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7803 (1.7870) Prec@1 55.469 (59.366) Prec@5 82.031 (81.058) Epoch: [47][6170/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7698 (1.7870) Prec@1 55.469 (59.366) Prec@5 81.250 (81.058) Epoch: [47][6180/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7281 (1.7870) Prec@1 60.938 (59.363) Prec@5 82.812 (81.058) Epoch: [47][6190/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8439 (1.7871) Prec@1 53.906 (59.361) Prec@5 82.812 (81.058) Epoch: [47][6200/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.5997 (1.7871) Prec@1 64.844 (59.360) Prec@5 84.375 (81.057) Epoch: [47][6210/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.8459 (1.7869) Prec@1 60.938 (59.364) Prec@5 80.469 (81.062) Epoch: [47][6220/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8248 (1.7870) Prec@1 57.031 (59.358) Prec@5 79.688 (81.060) Epoch: [47][6230/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8947 (1.7871) Prec@1 58.594 (59.358) Prec@5 80.469 (81.060) Epoch: [47][6240/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.2637 (1.7871) Prec@1 71.094 (59.359) Prec@5 88.281 (81.059) Epoch: [47][6250/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.5882 (1.7870) Prec@1 60.156 (59.362) Prec@5 84.375 (81.059) Epoch: [47][6260/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6673 (1.7870) Prec@1 62.500 (59.362) Prec@5 79.688 (81.059) Epoch: [47][6270/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8299 (1.7871) Prec@1 57.812 (59.360) Prec@5 77.344 (81.059) Epoch: [47][6280/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8078 (1.7869) Prec@1 57.031 (59.363) Prec@5 79.688 (81.062) Epoch: [47][6290/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0102 (1.7870) Prec@1 53.906 (59.360) Prec@5 79.688 (81.060) Epoch: [47][6300/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8827 (1.7870) Prec@1 57.812 (59.361) Prec@5 78.125 (81.062) Epoch: [47][6310/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5116 (1.7871) Prec@1 67.188 (59.361) Prec@5 80.469 (81.059) Epoch: [47][6320/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7634 (1.7871) Prec@1 56.250 (59.360) Prec@5 84.375 (81.058) Epoch: [47][6330/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7668 (1.7871) Prec@1 55.469 (59.362) Prec@5 82.031 (81.060) Epoch: [47][6340/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.2294 (1.7872) Prec@1 50.781 (59.359) Prec@5 75.000 (81.059) Epoch: [47][6350/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.8851 (1.7873) Prec@1 60.938 (59.357) Prec@5 82.031 (81.058) Epoch: [47][6360/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.1998 (1.7873) Prec@1 57.031 (59.356) Prec@5 76.562 (81.060) Epoch: [47][6370/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6018 (1.7873) Prec@1 60.938 (59.354) Prec@5 85.156 (81.059) Epoch: [47][6380/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8276 (1.7874) Prec@1 57.031 (59.352) Prec@5 80.469 (81.058) Epoch: [47][6390/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8534 (1.7875) Prec@1 58.594 (59.352) Prec@5 81.250 (81.057) Epoch: [47][6400/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9487 (1.7876) Prec@1 59.375 (59.350) Prec@5 78.906 (81.056) Epoch: [47][6410/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9731 (1.7878) Prec@1 53.125 (59.343) Prec@5 77.344 (81.054) Epoch: [47][6420/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7093 (1.7879) Prec@1 60.938 (59.344) Prec@5 81.250 (81.052) Epoch: [47][6430/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9512 (1.7882) Prec@1 54.688 (59.337) Prec@5 79.688 (81.048) Epoch: [47][6440/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5672 (1.7881) Prec@1 64.844 (59.338) Prec@5 82.031 (81.051) Epoch: [47][6450/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.1873 (1.7883) Prec@1 55.469 (59.334) Prec@5 72.656 (81.047) Epoch: [47][6460/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.8882 (1.7883) Prec@1 53.125 (59.335) Prec@5 78.906 (81.046) Epoch: [47][6470/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9010 (1.7882) Prec@1 56.250 (59.333) Prec@5 81.250 (81.050) Epoch: [47][6480/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8912 (1.7883) Prec@1 62.500 (59.333) Prec@5 82.031 (81.051) Epoch: [47][6490/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5554 (1.7883) Prec@1 57.812 (59.329) Prec@5 84.375 (81.049) Epoch: [47][6500/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8333 (1.7884) Prec@1 53.906 (59.326) Prec@5 82.812 (81.049) Epoch: [47][6510/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8417 (1.7884) Prec@1 57.031 (59.327) Prec@5 82.812 (81.050) Epoch: [47][6520/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6906 (1.7882) Prec@1 61.719 (59.329) Prec@5 79.688 (81.050) Epoch: [47][6530/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.4982 (1.7882) Prec@1 63.281 (59.330) Prec@5 84.375 (81.051) Epoch: [47][6540/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9444 (1.7881) Prec@1 56.250 (59.331) Prec@5 78.906 (81.054) Epoch: [47][6550/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.4590 (1.7881) Prec@1 67.188 (59.329) Prec@5 85.156 (81.055) Epoch: [47][6560/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.9649 (1.7883) Prec@1 57.812 (59.326) Prec@5 78.906 (81.051) Epoch: [47][6570/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.0571 (1.7883) Prec@1 56.250 (59.325) Prec@5 77.344 (81.052) Epoch: [47][6580/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8574 (1.7884) Prec@1 57.812 (59.324) Prec@5 77.344 (81.052) Epoch: [47][6590/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7390 (1.7883) Prec@1 57.031 (59.325) Prec@5 83.594 (81.052) Epoch: [47][6600/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9942 (1.7882) Prec@1 57.031 (59.329) Prec@5 78.125 (81.051) Epoch: [47][6610/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.9969 (1.7882) Prec@1 59.375 (59.330) Prec@5 77.344 (81.052) Epoch: [47][6620/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7720 (1.7882) Prec@1 55.469 (59.330) Prec@5 81.250 (81.051) Epoch: [47][6630/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7498 (1.7882) Prec@1 58.594 (59.332) Prec@5 79.688 (81.050) Epoch: [47][6640/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.9225 (1.7881) Prec@1 56.250 (59.333) Prec@5 78.906 (81.053) Epoch: [47][6650/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.5890 (1.7881) Prec@1 67.188 (59.335) Prec@5 83.594 (81.051) Epoch: [47][6660/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6876 (1.7881) Prec@1 60.156 (59.335) Prec@5 80.469 (81.051) Epoch: [47][6670/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7498 (1.7881) Prec@1 60.938 (59.334) Prec@5 80.469 (81.051) Epoch: [47][6680/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9251 (1.7880) Prec@1 57.812 (59.336) Prec@5 76.562 (81.052) Epoch: [47][6690/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6439 (1.7881) Prec@1 62.500 (59.334) Prec@5 83.594 (81.053) Epoch: [47][6700/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.1654 (1.7883) Prec@1 51.562 (59.329) Prec@5 74.219 (81.049) Epoch: [47][6710/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6987 (1.7883) Prec@1 59.375 (59.328) Prec@5 82.812 (81.048) Epoch: [47][6720/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6338 (1.7882) Prec@1 60.156 (59.331) Prec@5 84.375 (81.049) Epoch: [47][6730/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.6648 (1.7882) Prec@1 63.281 (59.330) Prec@5 85.156 (81.051) Epoch: [47][6740/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8821 (1.7883) Prec@1 56.250 (59.326) Prec@5 79.688 (81.049) Epoch: [47][6750/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6042 (1.7883) Prec@1 62.500 (59.325) Prec@5 83.594 (81.050) Epoch: [47][6760/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 1.8746 (1.7883) Prec@1 57.031 (59.324) Prec@5 82.031 (81.051) Epoch: [47][6770/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8488 (1.7884) Prec@1 59.375 (59.322) Prec@5 80.469 (81.049) Epoch: [47][6780/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.0538 (1.7885) Prec@1 55.469 (59.318) Prec@5 75.781 (81.047) Epoch: [47][6790/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.6957 (1.7885) Prec@1 62.500 (59.318) Prec@5 82.812 (81.047) Epoch: [47][6800/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9408 (1.7885) Prec@1 56.250 (59.317) Prec@5 79.688 (81.047) Epoch: [47][6810/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.9208 (1.7885) Prec@1 57.031 (59.317) Prec@5 78.906 (81.049) Epoch: [47][6820/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.7185 (1.7885) Prec@1 60.156 (59.318) Prec@5 82.812 (81.049) Epoch: [47][6830/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8248 (1.7885) Prec@1 55.469 (59.320) Prec@5 80.469 (81.047) Epoch: [47][6840/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6393 (1.7884) Prec@1 59.375 (59.323) Prec@5 85.156 (81.049) Epoch: [47][6850/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8350 (1.7885) Prec@1 57.031 (59.323) Prec@5 82.812 (81.049) Epoch: [47][6860/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7042 (1.7886) Prec@1 56.250 (59.321) Prec@5 80.469 (81.045) Epoch: [47][6870/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9050 (1.7884) Prec@1 53.906 (59.322) Prec@5 79.688 (81.048) Epoch: [47][6880/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8754 (1.7886) Prec@1 54.688 (59.319) Prec@5 83.594 (81.045) Epoch: [47][6890/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.1341 (1.7885) Prec@1 53.125 (59.320) Prec@5 75.781 (81.046) Epoch: [47][6900/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.6418 (1.7885) Prec@1 60.156 (59.320) Prec@5 85.156 (81.047) Epoch: [47][6910/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6130 (1.7886) Prec@1 59.375 (59.318) Prec@5 87.500 (81.048) Epoch: [47][6920/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9206 (1.7886) Prec@1 56.250 (59.316) Prec@5 82.031 (81.049) Epoch: [47][6930/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.1756 (1.7887) Prec@1 55.469 (59.315) Prec@5 73.438 (81.046) Epoch: [47][6940/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8612 (1.7890) Prec@1 52.344 (59.311) Prec@5 77.344 (81.042) Epoch: [47][6950/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8442 (1.7891) Prec@1 58.594 (59.309) Prec@5 78.125 (81.040) Epoch: [47][6960/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7693 (1.7891) Prec@1 55.469 (59.307) Prec@5 81.250 (81.041) Epoch: [47][6970/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.0399 (1.7891) Prec@1 55.469 (59.307) Prec@5 79.688 (81.040) Epoch: [47][6980/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.1472 (1.7892) Prec@1 51.562 (59.306) Prec@5 71.875 (81.038) Epoch: [47][6990/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.8132 (1.7893) Prec@1 60.156 (59.305) Prec@5 80.469 (81.036) Epoch: [47][7000/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9664 (1.7893) Prec@1 56.250 (59.304) Prec@5 75.781 (81.035) Epoch: [47][7010/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.4596 (1.7894) Prec@1 60.938 (59.302) Prec@5 90.625 (81.034) Epoch: [47][7020/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8812 (1.7894) Prec@1 56.250 (59.299) Prec@5 78.906 (81.032) Epoch: [47][7030/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8363 (1.7894) Prec@1 58.594 (59.299) Prec@5 78.906 (81.031) Epoch: [47][7040/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.0422 (1.7894) Prec@1 50.781 (59.298) Prec@5 78.125 (81.031) Epoch: [47][7050/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.8214 (1.7895) Prec@1 60.156 (59.296) Prec@5 79.688 (81.032) Epoch: [47][7060/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6804 (1.7895) Prec@1 57.031 (59.293) Prec@5 79.688 (81.029) Epoch: [47][7070/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8011 (1.7895) Prec@1 57.812 (59.293) Prec@5 83.594 (81.028) Epoch: [47][7080/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.5539 (1.7897) Prec@1 60.938 (59.288) Prec@5 85.156 (81.024) Epoch: [47][7090/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8341 (1.7897) Prec@1 58.594 (59.290) Prec@5 78.125 (81.025) Epoch: [47][7100/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6287 (1.7897) Prec@1 60.156 (59.291) Prec@5 80.469 (81.025) Epoch: [47][7110/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7362 (1.7897) Prec@1 59.375 (59.290) Prec@5 83.594 (81.025) Epoch: [47][7120/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8543 (1.7896) Prec@1 62.500 (59.290) Prec@5 78.906 (81.027) Epoch: [47][7130/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.0038 (1.7897) Prec@1 58.594 (59.292) Prec@5 77.344 (81.027) Epoch: [47][7140/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.5214 (1.7896) Prec@1 67.188 (59.293) Prec@5 86.719 (81.027) Epoch: [47][7150/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6794 (1.7896) Prec@1 59.375 (59.293) Prec@5 81.250 (81.028) Epoch: [47][7160/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7715 (1.7896) Prec@1 60.156 (59.295) Prec@5 81.250 (81.029) Epoch: [47][7170/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8063 (1.7896) Prec@1 57.031 (59.294) Prec@5 78.125 (81.029) Epoch: [47][7180/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6165 (1.7896) Prec@1 67.188 (59.295) Prec@5 84.375 (81.028) Epoch: [47][7190/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7175 (1.7896) Prec@1 63.281 (59.295) Prec@5 80.469 (81.028) Epoch: [47][7200/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8618 (1.7896) Prec@1 57.031 (59.296) Prec@5 79.688 (81.029) Epoch: [47][7210/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6713 (1.7895) Prec@1 60.156 (59.295) Prec@5 83.594 (81.031) Epoch: [47][7220/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.1677 (1.7895) Prec@1 54.688 (59.295) Prec@5 75.781 (81.031) Epoch: [47][7230/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6710 (1.7895) Prec@1 60.938 (59.292) Prec@5 83.594 (81.030) Epoch: [47][7240/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7623 (1.7895) Prec@1 58.594 (59.291) Prec@5 80.469 (81.030) Epoch: [47][7250/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.8414 (1.7896) Prec@1 57.812 (59.289) Prec@5 81.250 (81.031) Epoch: [47][7260/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8902 (1.7896) Prec@1 56.250 (59.289) Prec@5 79.688 (81.030) Epoch: [47][7270/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9874 (1.7897) Prec@1 53.125 (59.285) Prec@5 79.688 (81.026) Epoch: [47][7280/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.5645 (1.7897) Prec@1 65.625 (59.287) Prec@5 82.812 (81.027) Epoch: [47][7290/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0192 (1.7896) Prec@1 51.562 (59.288) Prec@5 78.125 (81.026) Epoch: [47][7300/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7966 (1.7896) Prec@1 63.281 (59.290) Prec@5 83.594 (81.027) Epoch: [47][7310/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9175 (1.7895) Prec@1 56.250 (59.294) Prec@5 78.125 (81.030) Epoch: [47][7320/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5381 (1.7895) Prec@1 61.719 (59.294) Prec@5 87.500 (81.031) Epoch: [47][7330/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7711 (1.7895) Prec@1 60.156 (59.293) Prec@5 80.469 (81.030) Epoch: [47][7340/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.6964 (1.7896) Prec@1 60.938 (59.292) Prec@5 80.469 (81.028) Epoch: [47][7350/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9583 (1.7898) Prec@1 55.469 (59.288) Prec@5 76.562 (81.024) /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][7360/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7643 (1.7898) Prec@1 56.250 (59.286) Prec@5 82.812 (81.026) Epoch: [47][7370/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9987 (1.7899) Prec@1 55.469 (59.285) Prec@5 78.906 (81.025) Epoch: [47][7380/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.7148 (1.7899) Prec@1 63.281 (59.285) Prec@5 83.594 (81.026) Epoch: [47][7390/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6874 (1.7900) Prec@1 61.719 (59.283) Prec@5 83.594 (81.024) Epoch: [47][7400/10010] Time 0.306 (0.332) Data 0.000 (0.001) Loss 1.5961 (1.7900) Prec@1 57.812 (59.283) Prec@5 85.156 (81.023) Epoch: [47][7410/10010] Time 0.352 (0.332) Data 0.000 (0.001) Loss 1.8245 (1.7900) Prec@1 53.125 (59.281) Prec@5 79.688 (81.022) Epoch: [47][7420/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7405 (1.7902) Prec@1 57.812 (59.278) Prec@5 84.375 (81.020) Epoch: [47][7430/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5591 (1.7901) Prec@1 63.281 (59.280) Prec@5 86.719 (81.021) Epoch: [47][7440/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9631 (1.7903) Prec@1 53.906 (59.278) Prec@5 78.906 (81.019) Epoch: [47][7450/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5806 (1.7904) Prec@1 60.938 (59.276) Prec@5 86.719 (81.018) Epoch: [47][7460/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0277 (1.7904) Prec@1 59.375 (59.275) Prec@5 79.688 (81.019) Epoch: [47][7470/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0071 (1.7902) Prec@1 57.031 (59.278) Prec@5 76.562 (81.022) Epoch: [47][7480/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7749 (1.7902) Prec@1 57.031 (59.276) Prec@5 83.594 (81.023) Epoch: [47][7490/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7855 (1.7902) Prec@1 60.938 (59.274) Prec@5 78.906 (81.021) Epoch: [47][7500/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8791 (1.7903) Prec@1 57.812 (59.272) Prec@5 79.688 (81.019) Epoch: [47][7510/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.5611 (1.7905) Prec@1 59.375 (59.268) Prec@5 82.812 (81.016) Epoch: [47][7520/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.5939 (1.7905) Prec@1 67.969 (59.270) Prec@5 86.719 (81.017) Epoch: [47][7530/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8201 (1.7905) Prec@1 62.500 (59.266) Prec@5 82.031 (81.017) Epoch: [47][7540/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9334 (1.7905) Prec@1 60.156 (59.266) Prec@5 78.906 (81.017) Epoch: [47][7550/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9093 (1.7905) Prec@1 57.812 (59.265) Prec@5 79.688 (81.017) Epoch: [47][7560/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6972 (1.7905) Prec@1 59.375 (59.266) Prec@5 85.156 (81.017) Epoch: [47][7570/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8942 (1.7903) Prec@1 57.812 (59.268) Prec@5 78.125 (81.019) Epoch: [47][7580/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.6283 (1.7903) Prec@1 62.500 (59.266) Prec@5 81.250 (81.020) Epoch: [47][7590/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.4300 (1.7902) Prec@1 68.750 (59.270) Prec@5 85.156 (81.021) Epoch: [47][7600/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8948 (1.7903) Prec@1 54.688 (59.269) Prec@5 77.344 (81.020) Epoch: [47][7610/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7647 (1.7903) Prec@1 60.938 (59.269) Prec@5 80.469 (81.020) Epoch: [47][7620/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8060 (1.7902) Prec@1 60.156 (59.270) Prec@5 82.031 (81.021) Epoch: [47][7630/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7279 (1.7902) Prec@1 64.062 (59.272) Prec@5 83.594 (81.022) Epoch: [47][7640/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7448 (1.7903) Prec@1 57.812 (59.273) Prec@5 83.594 (81.021) Epoch: [47][7650/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7126 (1.7903) Prec@1 60.938 (59.273) Prec@5 80.469 (81.020) Epoch: [47][7660/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.7637 (1.7903) Prec@1 57.031 (59.273) Prec@5 85.156 (81.018) Epoch: [47][7670/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9001 (1.7904) Prec@1 58.594 (59.272) Prec@5 78.906 (81.017) Epoch: [47][7680/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5690 (1.7906) Prec@1 63.281 (59.270) Prec@5 84.375 (81.015) Epoch: [47][7690/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8013 (1.7906) Prec@1 64.062 (59.271) Prec@5 81.250 (81.016) Epoch: [47][7700/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6522 (1.7906) Prec@1 62.500 (59.269) Prec@5 84.375 (81.016) Epoch: [47][7710/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.5010 (1.7906) Prec@1 68.750 (59.267) Prec@5 82.812 (81.015) Epoch: [47][7720/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9271 (1.7907) Prec@1 61.719 (59.266) Prec@5 77.344 (81.014) Epoch: [47][7730/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8956 (1.7908) Prec@1 55.469 (59.264) Prec@5 79.688 (81.015) Epoch: [47][7740/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0966 (1.7907) Prec@1 50.781 (59.263) Prec@5 76.562 (81.013) Epoch: [47][7750/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7860 (1.7906) Prec@1 59.375 (59.268) Prec@5 78.906 (81.015) Epoch: [47][7760/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8495 (1.7907) Prec@1 58.594 (59.267) Prec@5 75.000 (81.013) Epoch: [47][7770/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9833 (1.7907) Prec@1 54.688 (59.265) Prec@5 77.344 (81.011) Epoch: [47][7780/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9004 (1.7907) Prec@1 57.031 (59.266) Prec@5 80.469 (81.011) Epoch: [47][7790/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8318 (1.7907) Prec@1 59.375 (59.266) Prec@5 83.594 (81.012) Epoch: [47][7800/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8192 (1.7908) Prec@1 50.781 (59.262) Prec@5 79.688 (81.010) Epoch: [47][7810/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.5363 (1.7906) Prec@1 67.969 (59.267) Prec@5 83.594 (81.012) Epoch: [47][7820/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8626 (1.7907) Prec@1 54.688 (59.265) Prec@5 82.031 (81.011) Epoch: [47][7830/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7869 (1.7907) Prec@1 58.594 (59.265) Prec@5 78.906 (81.011) Epoch: [47][7840/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.5109 (1.7906) Prec@1 59.375 (59.268) Prec@5 89.062 (81.014) Epoch: [47][7850/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7437 (1.7906) Prec@1 60.156 (59.266) Prec@5 82.812 (81.014) Epoch: [47][7860/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.4437 (1.7904) Prec@1 70.312 (59.271) Prec@5 85.938 (81.017) Epoch: [47][7870/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5569 (1.7904) Prec@1 60.156 (59.271) Prec@5 85.938 (81.017) Epoch: [47][7880/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9048 (1.7904) Prec@1 57.031 (59.271) Prec@5 82.031 (81.017) Epoch: [47][7890/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9496 (1.7904) Prec@1 60.156 (59.270) Prec@5 75.781 (81.016) Epoch: [47][7900/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8393 (1.7904) Prec@1 60.156 (59.269) Prec@5 78.125 (81.014) Epoch: [47][7910/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0361 (1.7906) Prec@1 53.906 (59.267) Prec@5 80.469 (81.013) Epoch: [47][7920/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6906 (1.7906) Prec@1 61.719 (59.266) Prec@5 80.469 (81.012) Epoch: [47][7930/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7959 (1.7907) Prec@1 57.031 (59.266) Prec@5 81.250 (81.011) Epoch: [47][7940/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.6476 (1.7907) Prec@1 64.062 (59.266) Prec@5 84.375 (81.011) Epoch: [47][7950/10010] Time 0.311 (0.332) Data 0.001 (0.001) Loss 1.7976 (1.7906) Prec@1 56.250 (59.266) Prec@5 79.688 (81.013) Epoch: [47][7960/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7142 (1.7907) Prec@1 62.500 (59.265) Prec@5 80.469 (81.011) Epoch: [47][7970/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7942 (1.7908) Prec@1 62.500 (59.265) Prec@5 85.156 (81.011) Epoch: [47][7980/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8206 (1.7908) Prec@1 60.938 (59.266) Prec@5 78.906 (81.010) Epoch: [47][7990/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7002 (1.7908) Prec@1 61.719 (59.267) Prec@5 85.938 (81.012) Epoch: [47][8000/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7823 (1.7908) Prec@1 63.281 (59.266) Prec@5 80.469 (81.010) Epoch: [47][8010/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6230 (1.7907) Prec@1 62.500 (59.268) Prec@5 85.156 (81.011) Epoch: [47][8020/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8235 (1.7908) Prec@1 60.156 (59.267) Prec@5 81.250 (81.010) Epoch: [47][8030/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7650 (1.7908) Prec@1 57.812 (59.265) Prec@5 84.375 (81.009) Epoch: [47][8040/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8890 (1.7908) Prec@1 60.156 (59.266) Prec@5 82.031 (81.010) Epoch: [47][8050/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.6516 (1.7908) Prec@1 61.719 (59.263) Prec@5 85.156 (81.009) Epoch: [47][8060/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.7231 (1.7907) Prec@1 58.594 (59.265) Prec@5 78.125 (81.011) Epoch: [47][8070/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9119 (1.7908) Prec@1 53.125 (59.263) Prec@5 76.562 (81.009) Epoch: [47][8080/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8077 (1.7909) Prec@1 64.844 (59.261) Prec@5 81.250 (81.008) Epoch: [47][8090/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5640 (1.7908) Prec@1 60.938 (59.263) Prec@5 81.250 (81.009) Epoch: [47][8100/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7148 (1.7909) Prec@1 65.625 (59.262) Prec@5 83.594 (81.008) Epoch: [47][8110/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.4826 (1.7908) Prec@1 62.500 (59.263) Prec@5 83.594 (81.009) Epoch: [47][8120/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7182 (1.7907) Prec@1 57.031 (59.264) Prec@5 81.250 (81.009) Epoch: [47][8130/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8024 (1.7908) Prec@1 56.250 (59.261) Prec@5 81.250 (81.008) Epoch: [47][8140/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.9934 (1.7908) Prec@1 53.906 (59.262) Prec@5 78.125 (81.007) Epoch: [47][8150/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.7131 (1.7908) Prec@1 64.062 (59.261) Prec@5 80.469 (81.008) Epoch: [47][8160/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7383 (1.7909) Prec@1 54.688 (59.257) Prec@5 84.375 (81.009) Epoch: [47][8170/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8725 (1.7910) Prec@1 59.375 (59.254) Prec@5 81.250 (81.008) Epoch: [47][8180/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7152 (1.7909) Prec@1 57.031 (59.253) Prec@5 85.156 (81.008) Epoch: [47][8190/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.1383 (1.7909) Prec@1 49.219 (59.255) Prec@5 72.656 (81.010) Epoch: [47][8200/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.3057 (1.7909) Prec@1 50.000 (59.257) Prec@5 71.094 (81.009) Epoch: [47][8210/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7723 (1.7909) Prec@1 58.594 (59.258) Prec@5 79.688 (81.009) Epoch: [47][8220/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7645 (1.7909) Prec@1 61.719 (59.255) Prec@5 83.594 (81.009) Epoch: [47][8230/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8085 (1.7908) Prec@1 57.031 (59.256) Prec@5 80.469 (81.010) Epoch: [47][8240/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.1660 (1.7909) Prec@1 53.125 (59.256) Prec@5 77.344 (81.011) Epoch: [47][8250/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6508 (1.7909) Prec@1 56.250 (59.255) Prec@5 79.688 (81.010) Epoch: [47][8260/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6062 (1.7909) Prec@1 62.500 (59.256) Prec@5 82.812 (81.009) Epoch: [47][8270/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6200 (1.7910) Prec@1 64.844 (59.254) Prec@5 84.375 (81.008) Epoch: [47][8280/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.9512 (1.7909) Prec@1 60.938 (59.255) Prec@5 78.125 (81.008) Epoch: [47][8290/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.7322 (1.7910) Prec@1 58.594 (59.254) Prec@5 79.688 (81.008) Epoch: [47][8300/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5659 (1.7909) Prec@1 69.531 (59.256) Prec@5 83.594 (81.008) Epoch: [47][8310/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6143 (1.7908) Prec@1 66.406 (59.260) Prec@5 80.469 (81.008) Epoch: [47][8320/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6167 (1.7907) Prec@1 65.625 (59.263) Prec@5 83.594 (81.010) Epoch: [47][8330/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6964 (1.7907) Prec@1 60.156 (59.262) Prec@5 82.031 (81.009) Epoch: [47][8340/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.1906 (1.7909) Prec@1 49.219 (59.259) Prec@5 71.094 (81.006) Epoch: [47][8350/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7702 (1.7909) Prec@1 60.156 (59.260) Prec@5 81.250 (81.007) Epoch: [47][8360/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.6504 (1.7908) Prec@1 62.500 (59.259) Prec@5 85.938 (81.009) Epoch: [47][8370/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.1023 (1.7909) Prec@1 53.906 (59.259) Prec@5 75.000 (81.007) Epoch: [47][8380/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.5055 (1.7910) Prec@1 65.625 (59.259) Prec@5 85.156 (81.006) Epoch: [47][8390/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8484 (1.7911) Prec@1 57.812 (59.255) Prec@5 78.906 (81.005) Epoch: [47][8400/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7566 (1.7911) Prec@1 61.719 (59.254) Prec@5 82.812 (81.004) Epoch: [47][8410/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 2.1629 (1.7912) Prec@1 50.781 (59.253) Prec@5 74.219 (81.003) Epoch: [47][8420/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.1489 (1.7913) Prec@1 54.688 (59.253) Prec@5 72.656 (81.001) Epoch: [47][8430/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.5343 (1.7913) Prec@1 64.062 (59.252) Prec@5 87.500 (80.999) Epoch: [47][8440/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7231 (1.7913) Prec@1 57.812 (59.252) Prec@5 80.469 (81.001) Epoch: [47][8450/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7945 (1.7913) Prec@1 57.031 (59.252) Prec@5 82.812 (81.000) Epoch: [47][8460/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7538 (1.7912) Prec@1 57.031 (59.252) Prec@5 84.375 (81.001) Epoch: [47][8470/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9533 (1.7912) Prec@1 57.031 (59.254) Prec@5 78.125 (81.001) Epoch: [47][8480/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.5948 (1.7911) Prec@1 64.844 (59.257) Prec@5 82.031 (81.002) /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][8490/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6652 (1.7911) Prec@1 57.812 (59.256) Prec@5 80.469 (81.001) Epoch: [47][8500/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0187 (1.7912) Prec@1 54.688 (59.253) Prec@5 75.781 (80.999) Epoch: [47][8510/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0792 (1.7913) Prec@1 59.375 (59.252) Prec@5 76.562 (80.996) Epoch: [47][8520/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5280 (1.7913) Prec@1 64.062 (59.253) Prec@5 84.375 (80.997) Epoch: [47][8530/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6921 (1.7912) Prec@1 63.281 (59.257) Prec@5 83.594 (80.998) Epoch: [47][8540/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.0476 (1.7914) Prec@1 54.688 (59.256) Prec@5 75.000 (80.997) Epoch: [47][8550/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9224 (1.7913) Prec@1 57.812 (59.255) Prec@5 78.125 (80.997) Epoch: [47][8560/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6313 (1.7913) Prec@1 57.031 (59.257) Prec@5 82.031 (80.999) Epoch: [47][8570/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7708 (1.7913) Prec@1 62.500 (59.257) Prec@5 81.250 (80.999) Epoch: [47][8580/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8305 (1.7914) Prec@1 56.250 (59.256) Prec@5 77.344 (80.997) Epoch: [47][8590/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.0261 (1.7915) Prec@1 55.469 (59.254) Prec@5 78.125 (80.996) Epoch: [47][8600/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6800 (1.7914) Prec@1 61.719 (59.255) Prec@5 82.812 (80.997) Epoch: [47][8610/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8728 (1.7915) Prec@1 60.938 (59.254) Prec@5 78.906 (80.997) Epoch: [47][8620/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9449 (1.7916) Prec@1 53.906 (59.252) Prec@5 79.688 (80.996) Epoch: [47][8630/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.8811 (1.7917) Prec@1 56.250 (59.248) Prec@5 78.906 (80.994) Epoch: [47][8640/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.8318 (1.7917) Prec@1 60.156 (59.250) Prec@5 80.469 (80.994) Epoch: [47][8650/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9053 (1.7916) Prec@1 59.375 (59.253) Prec@5 78.906 (80.995) Epoch: [47][8660/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9232 (1.7917) Prec@1 54.688 (59.252) Prec@5 78.906 (80.993) Epoch: [47][8670/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6782 (1.7916) Prec@1 62.500 (59.252) Prec@5 82.031 (80.993) Epoch: [47][8680/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9151 (1.7917) Prec@1 58.594 (59.253) Prec@5 81.250 (80.993) Epoch: [47][8690/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9883 (1.7918) Prec@1 57.812 (59.251) Prec@5 77.344 (80.992) Epoch: [47][8700/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.7260 (1.7916) Prec@1 63.281 (59.255) Prec@5 82.812 (80.994) Epoch: [47][8710/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9715 (1.7916) Prec@1 54.688 (59.253) Prec@5 81.250 (80.993) Epoch: [47][8720/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8527 (1.7917) Prec@1 55.469 (59.254) Prec@5 84.375 (80.994) Epoch: [47][8730/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7590 (1.7917) Prec@1 56.250 (59.254) Prec@5 82.812 (80.993) Epoch: [47][8740/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7261 (1.7915) Prec@1 60.938 (59.258) Prec@5 84.375 (80.995) Epoch: [47][8750/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5725 (1.7916) Prec@1 64.062 (59.258) Prec@5 85.156 (80.995) Epoch: [47][8760/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.5012 (1.7915) Prec@1 64.062 (59.257) Prec@5 85.156 (80.995) Epoch: [47][8770/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8129 (1.7914) Prec@1 60.938 (59.260) Prec@5 80.469 (80.996) Epoch: [47][8780/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8918 (1.7914) Prec@1 58.594 (59.260) Prec@5 76.562 (80.996) Epoch: [47][8790/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5331 (1.7913) Prec@1 64.062 (59.260) Prec@5 86.719 (80.997) Epoch: [47][8800/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8046 (1.7913) Prec@1 58.594 (59.259) Prec@5 82.812 (80.996) Epoch: [47][8810/10010] Time 0.314 (0.332) Data 0.001 (0.001) Loss 1.7522 (1.7915) Prec@1 64.062 (59.259) Prec@5 83.594 (80.994) Epoch: [47][8820/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6064 (1.7915) Prec@1 61.719 (59.256) Prec@5 84.375 (80.994) Epoch: [47][8830/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.6401 (1.7915) Prec@1 64.062 (59.256) Prec@5 82.812 (80.993) Epoch: [47][8840/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.7077 (1.7915) Prec@1 65.625 (59.257) Prec@5 78.906 (80.993) Epoch: [47][8850/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6362 (1.7915) Prec@1 62.500 (59.257) Prec@5 82.031 (80.992) Epoch: [47][8860/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8367 (1.7915) Prec@1 54.688 (59.257) Prec@5 78.906 (80.992) Epoch: [47][8870/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8662 (1.7915) Prec@1 55.469 (59.256) Prec@5 78.125 (80.993) Epoch: [47][8880/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7730 (1.7915) Prec@1 65.625 (59.254) Prec@5 78.125 (80.991) Epoch: [47][8890/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6855 (1.7916) Prec@1 61.719 (59.253) Prec@5 81.250 (80.991) Epoch: [47][8900/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7261 (1.7916) Prec@1 64.062 (59.252) Prec@5 83.594 (80.990) Epoch: [47][8910/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.0099 (1.7917) Prec@1 53.125 (59.252) Prec@5 78.906 (80.989) Epoch: [47][8920/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6732 (1.7918) Prec@1 59.375 (59.250) Prec@5 82.031 (80.988) Epoch: [47][8930/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8598 (1.7917) Prec@1 58.594 (59.253) Prec@5 81.250 (80.990) Epoch: [47][8940/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5080 (1.7917) Prec@1 65.625 (59.252) Prec@5 85.156 (80.990) Epoch: [47][8950/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9346 (1.7917) Prec@1 51.562 (59.252) Prec@5 76.562 (80.988) Epoch: [47][8960/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7350 (1.7917) Prec@1 60.938 (59.253) Prec@5 78.906 (80.987) Epoch: [47][8970/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7255 (1.7917) Prec@1 60.938 (59.253) Prec@5 82.031 (80.989) Epoch: [47][8980/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7711 (1.7918) Prec@1 58.594 (59.252) Prec@5 78.906 (80.987) Epoch: [47][8990/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9927 (1.7919) Prec@1 57.812 (59.249) Prec@5 81.250 (80.986) Epoch: [47][9000/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9104 (1.7918) Prec@1 57.812 (59.249) Prec@5 79.688 (80.988) Epoch: [47][9010/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0915 (1.7918) Prec@1 54.688 (59.249) Prec@5 78.125 (80.989) Epoch: [47][9020/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6916 (1.7918) Prec@1 60.156 (59.249) Prec@5 82.812 (80.988) Epoch: [47][9030/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6943 (1.7918) Prec@1 62.500 (59.249) Prec@5 84.375 (80.989) Epoch: [47][9040/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.1354 (1.7919) Prec@1 53.906 (59.248) Prec@5 78.906 (80.989) Epoch: [47][9050/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5456 (1.7919) Prec@1 64.844 (59.248) Prec@5 83.594 (80.988) Epoch: [47][9060/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.6188 (1.7920) Prec@1 63.281 (59.247) Prec@5 82.812 (80.987) Epoch: [47][9070/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8652 (1.7920) Prec@1 55.469 (59.247) Prec@5 79.688 (80.987) Epoch: [47][9080/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9226 (1.7920) Prec@1 61.719 (59.248) Prec@5 78.125 (80.986) Epoch: [47][9090/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7543 (1.7920) Prec@1 58.594 (59.248) Prec@5 76.562 (80.985) Epoch: [47][9100/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.0925 (1.7920) Prec@1 60.938 (59.246) Prec@5 76.562 (80.986) Epoch: [47][9110/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.3307 (1.7919) Prec@1 70.312 (59.247) Prec@5 85.156 (80.985) Epoch: [47][9120/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.2047 (1.7919) Prec@1 56.250 (59.248) Prec@5 76.562 (80.986) Epoch: [47][9130/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.0641 (1.7919) Prec@1 53.906 (59.246) Prec@5 80.469 (80.985) Epoch: [47][9140/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5880 (1.7920) Prec@1 67.969 (59.247) Prec@5 81.250 (80.985) Epoch: [47][9150/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.4962 (1.7919) Prec@1 65.625 (59.248) Prec@5 85.156 (80.986) Epoch: [47][9160/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.0620 (1.7919) Prec@1 52.344 (59.249) Prec@5 76.562 (80.985) Epoch: [47][9170/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7374 (1.7920) Prec@1 63.281 (59.246) Prec@5 82.031 (80.983) Epoch: [47][9180/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9099 (1.7920) Prec@1 53.906 (59.245) Prec@5 81.250 (80.985) Epoch: [47][9190/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 2.2258 (1.7921) Prec@1 50.781 (59.244) Prec@5 75.781 (80.985) Epoch: [47][9200/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.5822 (1.7920) Prec@1 60.156 (59.243) Prec@5 86.719 (80.985) Epoch: [47][9210/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5206 (1.7920) Prec@1 64.062 (59.241) Prec@5 83.594 (80.986) Epoch: [47][9220/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.8546 (1.7921) Prec@1 56.250 (59.242) Prec@5 78.906 (80.985) Epoch: [47][9230/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5031 (1.7920) Prec@1 64.062 (59.243) Prec@5 82.031 (80.987) Epoch: [47][9240/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8925 (1.7921) Prec@1 53.906 (59.240) Prec@5 77.344 (80.986) Epoch: [47][9250/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6790 (1.7921) Prec@1 58.594 (59.239) Prec@5 83.594 (80.985) Epoch: [47][9260/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7237 (1.7920) Prec@1 60.938 (59.241) Prec@5 82.812 (80.986) Epoch: [47][9270/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9264 (1.7920) Prec@1 54.688 (59.240) Prec@5 76.562 (80.986) Epoch: [47][9280/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8465 (1.7921) Prec@1 53.125 (59.237) Prec@5 80.469 (80.986) Epoch: [47][9290/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7770 (1.7921) Prec@1 62.500 (59.235) Prec@5 77.344 (80.985) Epoch: [47][9300/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6652 (1.7922) Prec@1 57.031 (59.235) Prec@5 86.719 (80.984) Epoch: [47][9310/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5862 (1.7922) Prec@1 60.156 (59.236) Prec@5 82.812 (80.985) Epoch: [47][9320/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.0650 (1.7921) Prec@1 49.219 (59.236) Prec@5 78.906 (80.985) Epoch: [47][9330/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.8790 (1.7921) Prec@1 57.812 (59.237) Prec@5 82.812 (80.986) Epoch: [47][9340/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0430 (1.7922) Prec@1 59.375 (59.237) Prec@5 79.688 (80.985) Epoch: [47][9350/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.5508 (1.7923) Prec@1 60.938 (59.235) Prec@5 85.938 (80.984) Epoch: [47][9360/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7094 (1.7922) Prec@1 64.062 (59.236) Prec@5 82.812 (80.986) Epoch: [47][9370/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7101 (1.7922) Prec@1 57.031 (59.236) Prec@5 81.250 (80.985) Epoch: [47][9380/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7671 (1.7923) Prec@1 57.031 (59.237) Prec@5 82.812 (80.985) Epoch: [47][9390/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.0365 (1.7923) Prec@1 56.250 (59.236) Prec@5 78.906 (80.984) Epoch: [47][9400/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6480 (1.7924) Prec@1 57.812 (59.234) Prec@5 84.375 (80.982) Epoch: [47][9410/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.9655 (1.7924) Prec@1 57.031 (59.232) Prec@5 81.250 (80.982) Epoch: [47][9420/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6833 (1.7925) Prec@1 60.938 (59.231) Prec@5 84.375 (80.981) Epoch: [47][9430/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8388 (1.7926) Prec@1 56.250 (59.229) Prec@5 84.375 (80.980) Epoch: [47][9440/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.1093 (1.7926) Prec@1 51.562 (59.227) Prec@5 82.031 (80.979) Epoch: [47][9450/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8303 (1.7926) Prec@1 60.938 (59.228) Prec@5 79.688 (80.979) Epoch: [47][9460/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6695 (1.7926) Prec@1 62.500 (59.227) Prec@5 79.688 (80.981) Epoch: [47][9470/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.5787 (1.7926) Prec@1 58.594 (59.227) Prec@5 82.812 (80.981) Epoch: [47][9480/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.4133 (1.7926) Prec@1 68.750 (59.228) Prec@5 85.156 (80.981) Epoch: [47][9490/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.6370 (1.7925) Prec@1 62.500 (59.228) Prec@5 85.156 (80.982) Epoch: [47][9500/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8294 (1.7926) Prec@1 60.938 (59.227) Prec@5 85.156 (80.983) Epoch: [47][9510/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.8486 (1.7926) Prec@1 60.156 (59.228) Prec@5 83.594 (80.983) Epoch: [47][9520/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.0506 (1.7926) Prec@1 53.125 (59.226) Prec@5 78.906 (80.983) Epoch: [47][9530/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6059 (1.7927) Prec@1 60.938 (59.224) Prec@5 82.812 (80.981) Epoch: [47][9540/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 2.1120 (1.7927) Prec@1 51.562 (59.224) Prec@5 75.781 (80.981) Epoch: [47][9550/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8312 (1.7928) Prec@1 60.156 (59.222) Prec@5 81.250 (80.980) Epoch: [47][9560/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6128 (1.7928) Prec@1 66.406 (59.223) Prec@5 85.156 (80.979) Epoch: [47][9570/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7576 (1.7928) Prec@1 60.938 (59.223) Prec@5 82.031 (80.979) Epoch: [47][9580/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9435 (1.7928) Prec@1 55.469 (59.224) Prec@5 77.344 (80.981) Epoch: [47][9590/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.6123 (1.7927) Prec@1 64.062 (59.225) Prec@5 82.031 (80.982) Epoch: [47][9600/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.1882 (1.7927) Prec@1 54.688 (59.224) Prec@5 74.219 (80.980) Epoch: [47][9610/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7172 (1.7928) Prec@1 59.375 (59.223) Prec@5 81.250 (80.980) Epoch: [47][9620/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7820 (1.7927) Prec@1 53.125 (59.224) Prec@5 82.031 (80.981) Epoch: [47][9630/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.1599 (1.7928) Prec@1 53.906 (59.222) Prec@5 78.906 (80.981) Epoch: [47][9640/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7854 (1.7928) Prec@1 58.594 (59.223) Prec@5 78.125 (80.981) Epoch: [47][9650/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.9089 (1.7928) Prec@1 57.031 (59.223) Prec@5 80.469 (80.981) Epoch: [47][9660/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7369 (1.7929) Prec@1 58.594 (59.221) Prec@5 79.688 (80.980) Epoch: [47][9670/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8067 (1.7929) Prec@1 52.344 (59.221) Prec@5 83.594 (80.981) Epoch: [47][9680/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6954 (1.7929) Prec@1 57.812 (59.221) Prec@5 82.812 (80.980) Epoch: [47][9690/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.5535 (1.7929) Prec@1 64.844 (59.221) Prec@5 83.594 (80.981) Epoch: [47][9700/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9632 (1.7930) Prec@1 55.469 (59.218) Prec@5 75.781 (80.979) Epoch: [47][9710/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6603 (1.7931) Prec@1 57.812 (59.216) Prec@5 82.812 (80.976) Epoch: [47][9720/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.1344 (1.7931) Prec@1 53.906 (59.216) Prec@5 75.000 (80.976) Epoch: [47][9730/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8415 (1.7932) Prec@1 58.594 (59.216) Prec@5 80.469 (80.976) Epoch: [47][9740/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6825 (1.7932) Prec@1 64.844 (59.215) Prec@5 84.375 (80.976) Epoch: [47][9750/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7491 (1.7931) Prec@1 61.719 (59.215) Prec@5 82.812 (80.978) Epoch: [47][9760/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9870 (1.7932) Prec@1 52.344 (59.215) Prec@5 78.906 (80.978) Epoch: [47][9770/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 2.0266 (1.7932) Prec@1 58.594 (59.214) Prec@5 77.344 (80.976) Epoch: [47][9780/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9229 (1.7933) Prec@1 56.250 (59.213) Prec@5 76.562 (80.974) Epoch: [47][9790/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6527 (1.7933) Prec@1 64.844 (59.214) Prec@5 82.031 (80.975) Epoch: [47][9800/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7447 (1.7933) Prec@1 53.906 (59.212) Prec@5 85.938 (80.975) Epoch: [47][9810/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5099 (1.7933) Prec@1 62.500 (59.213) Prec@5 85.938 (80.975) Epoch: [47][9820/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7178 (1.7933) Prec@1 60.156 (59.213) Prec@5 82.031 (80.975) Epoch: [47][9830/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7757 (1.7934) Prec@1 60.156 (59.211) Prec@5 83.594 (80.974) Epoch: [47][9840/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8952 (1.7934) Prec@1 60.156 (59.211) Prec@5 78.906 (80.974) Epoch: [47][9850/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7970 (1.7935) Prec@1 57.812 (59.209) Prec@5 80.469 (80.973) Epoch: [47][9860/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8066 (1.7936) Prec@1 60.156 (59.206) Prec@5 78.906 (80.972) Epoch: [47][9870/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8053 (1.7937) Prec@1 57.812 (59.204) Prec@5 81.250 (80.971) Epoch: [47][9880/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9470 (1.7936) Prec@1 53.125 (59.204) Prec@5 78.125 (80.973) Epoch: [47][9890/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7010 (1.7936) Prec@1 59.375 (59.204) Prec@5 77.344 (80.973) Epoch: [47][9900/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.0526 (1.7936) Prec@1 55.469 (59.205) Prec@5 78.906 (80.973) Epoch: [47][9910/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9519 (1.7936) Prec@1 56.250 (59.202) Prec@5 79.688 (80.973) Epoch: [47][9920/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9797 (1.7936) Prec@1 57.031 (59.203) Prec@5 75.781 (80.972) Epoch: [47][9930/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7343 (1.7937) Prec@1 64.062 (59.202) Prec@5 83.594 (80.972) Epoch: [47][9940/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7670 (1.7937) Prec@1 60.938 (59.202) Prec@5 82.031 (80.971) Epoch: [47][9950/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6184 (1.7937) Prec@1 67.188 (59.201) Prec@5 80.469 (80.971) Epoch: [47][9960/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9093 (1.7937) Prec@1 57.031 (59.201) Prec@5 80.469 (80.971) Epoch: [47][9970/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.3836 (1.7937) Prec@1 66.406 (59.202) Prec@5 88.281 (80.971) Epoch: [47][9980/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8968 (1.7938) Prec@1 56.250 (59.201) Prec@5 77.344 (80.969) Epoch: [47][9990/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.5569 (1.7939) Prec@1 61.719 (59.198) Prec@5 82.812 (80.968) Epoch: [47][10000/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.9572 (1.7939) Prec@1 55.469 (59.195) Prec@5 79.688 (80.967) Test: [0/391] Time 1.430 (1.430) Loss 1.0742 (1.0742) Prec@1 78.906 (78.906) Prec@5 86.719 (86.719) Test: [10/391] Time 0.114 (0.241) Loss 1.3443 (0.9130) Prec@1 71.094 (78.693) Prec@5 90.625 (92.756) Test: [20/391] Time 0.109 (0.182) Loss 1.0942 (1.1639) Prec@1 74.219 (72.173) Prec@5 89.844 (89.881) Test: [30/391] Time 0.104 (0.158) Loss 1.3804 (1.2972) Prec@1 69.531 (68.296) Prec@5 88.281 (88.533) Test: [40/391] Time 0.110 (0.145) Loss 1.4487 (1.1865) Prec@1 64.844 (70.636) Prec@5 87.500 (89.634) Test: [50/391] Time 0.104 (0.138) Loss 0.7710 (1.2113) Prec@1 78.125 (70.466) Prec@5 92.969 (89.292) Test: [60/391] Time 0.101 (0.134) Loss 1.1439 (1.1403) Prec@1 69.531 (72.093) Prec@5 92.969 (89.921) Test: [70/391] Time 0.107 (0.130) Loss 1.5907 (1.1788) Prec@1 57.812 (70.687) Prec@5 92.188 (89.932) Test: [80/391] Time 0.115 (0.127) Loss 1.0684 (1.2023) Prec@1 68.750 (69.512) Prec@5 92.969 (89.950) Test: [90/391] Time 0.114 (0.125) Loss 1.1931 (1.1942) Prec@1 64.844 (69.514) Prec@5 91.406 (90.153) Test: [100/391] Time 0.164 (0.124) Loss 0.9326 (1.1876) Prec@1 71.875 (69.121) Prec@5 97.656 (90.470) Test: [110/391] Time 0.107 (0.122) Loss 1.4950 (1.1877) Prec@1 50.781 (68.870) Prec@5 91.406 (90.653) Test: [120/391] Time 0.108 (0.121) Loss 1.4246 (1.1860) Prec@1 65.625 (68.995) Prec@5 89.844 (90.715) Test: [130/391] Time 0.106 (0.120) Loss 0.7797 (1.1791) Prec@1 84.375 (69.364) Prec@5 94.531 (90.786) Test: [140/391] Time 0.107 (0.119) Loss 1.6245 (1.1787) Prec@1 53.906 (69.332) Prec@5 87.500 (90.797) Test: [150/391] Time 0.108 (0.118) Loss 1.2028 (1.1849) Prec@1 57.031 (69.335) Prec@5 92.969 (90.635) Test: [160/391] Time 0.104 (0.117) Loss 1.3686 (1.1898) Prec@1 61.719 (69.332) Prec@5 89.062 (90.557) Test: [170/391] Time 0.104 (0.117) Loss 1.6671 (1.2234) Prec@1 57.031 (68.695) Prec@5 85.938 (90.182) Test: [180/391] Time 0.106 (0.116) Loss 2.2808 (1.2562) Prec@1 42.969 (68.051) Prec@5 82.031 (89.740) Test: [190/391] Time 0.108 (0.115) Loss 2.5881 (1.2991) Prec@1 40.625 (67.232) Prec@5 79.688 (89.124) Test: [200/391] Time 0.108 (0.115) Loss 1.4350 (1.3300) Prec@1 68.750 (66.709) Prec@5 88.281 (88.670) Test: [210/391] Time 0.103 (0.115) Loss 1.8229 (1.3576) Prec@1 58.594 (66.221) Prec@5 85.938 (88.318) Test: [220/391] Time 0.109 (0.114) Loss 0.9457 (1.3701) Prec@1 76.562 (66.067) Prec@5 92.188 (88.083) Test: [230/391] Time 0.106 (0.114) Loss 2.3134 (1.3842) Prec@1 49.219 (65.892) Prec@5 73.438 (87.848) Test: [240/391] Time 0.108 (0.114) Loss 1.5526 (1.3933) Prec@1 67.969 (65.813) Prec@5 80.469 (87.656) Test: [250/391] Time 0.107 (0.114) Loss 1.2420 (1.4208) Prec@1 70.312 (65.220) Prec@5 87.500 (87.288) Test: [260/391] Time 0.102 (0.113) Loss 1.9309 (1.4380) Prec@1 50.781 (64.805) Prec@5 80.469 (87.078) Test: [270/391] Time 0.099 (0.113) Loss 2.5138 (1.4502) Prec@1 39.062 (64.558) Prec@5 76.562 (86.889) Test: [280/391] Time 0.105 (0.113) Loss 1.4110 (1.4608) Prec@1 62.500 (64.407) Prec@5 89.062 (86.749) Test: [290/391] Time 0.111 (0.112) Loss 1.6515 (1.4708) Prec@1 53.906 (64.272) Prec@5 85.156 (86.547) Test: [300/391] Time 0.102 (0.112) Loss 1.7046 (1.4842) Prec@1 70.312 (64.042) Prec@5 85.156 (86.366) Test: [310/391] Time 0.101 (0.112) Loss 2.0264 (1.4976) Prec@1 55.469 (63.829) Prec@5 76.562 (86.103) Test: [320/391] Time 0.109 (0.112) Loss 1.0483 (1.5062) Prec@1 76.562 (63.658) Prec@5 91.406 (86.006) Test: [330/391] Time 0.113 (0.112) Loss 2.5961 (1.5302) Prec@1 37.500 (63.184) Prec@5 67.969 (85.635) Test: [340/391] Time 0.103 (0.112) Loss 1.4918 (1.5393) Prec@1 63.281 (62.933) Prec@5 88.281 (85.532) Test: [350/391] Time 0.108 (0.112) Loss 1.7380 (1.5455) Prec@1 64.844 (62.861) Prec@5 82.812 (85.406) Test: [360/391] Time 0.108 (0.112) Loss 1.5507 (1.5518) Prec@1 57.812 (62.721) Prec@5 89.062 (85.338) Test: [370/391] Time 0.110 (0.112) Loss 1.5177 (1.5494) Prec@1 56.250 (62.725) Prec@5 87.500 (85.388) Test: [380/391] Time 0.102 (0.111) Loss 1.2009 (1.5525) Prec@1 75.781 (62.699) Prec@5 91.406 (85.349) Test: [390/391] Time 0.071 (0.111) Loss 2.2483 (1.5425) Prec@1 41.250 (62.946) Prec@5 76.250 (85.458) * Prec@1 62.946 Prec@5 85.458 Epoch: [48][0/10010] Time 2.859 (2.859) Data 2.683 (2.683) Loss 1.9149 (1.9149) Prec@1 60.156 (60.156) Prec@5 76.562 (76.562) Epoch: [48][10/10010] Time 0.321 (0.552) Data 0.000 (0.245) Loss 1.8131 (1.7446) Prec@1 57.812 (60.298) Prec@5 81.250 (81.534) Epoch: [48][20/10010] Time 0.315 (0.442) Data 0.000 (0.128) Loss 2.0969 (1.7460) Prec@1 54.688 (60.454) Prec@5 73.438 (81.213) Epoch: [48][30/10010] Time 0.317 (0.404) Data 0.000 (0.087) Loss 1.6463 (1.7397) Prec@1 64.844 (61.013) Prec@5 82.031 (80.973) Epoch: [48][40/10010] Time 0.322 (0.384) Data 0.000 (0.066) Loss 1.7643 (1.7422) Prec@1 63.281 (60.766) Prec@5 82.031 (80.945) Epoch: [48][50/10010] Time 0.334 (0.373) Data 0.000 (0.053) Loss 1.6696 (1.7404) Prec@1 59.375 (60.600) Prec@5 82.812 (81.296) Epoch: [48][60/10010] Time 0.331 (0.366) Data 0.001 (0.045) Loss 1.6556 (1.7374) Prec@1 63.281 (60.630) Prec@5 82.812 (81.212) Epoch: [48][70/10010] Time 0.335 (0.362) Data 0.000 (0.038) Loss 1.6135 (1.7404) Prec@1 65.625 (60.585) Prec@5 84.375 (81.261) Epoch: [48][80/10010] Time 0.327 (0.358) Data 0.001 (0.034) Loss 1.6433 (1.7367) Prec@1 64.844 (60.687) Prec@5 85.156 (81.260) Epoch: [48][90/10010] Time 0.323 (0.355) Data 0.000 (0.030) Loss 1.9792 (1.7392) Prec@1 57.812 (60.852) Prec@5 71.875 (81.198) Epoch: [48][100/10010] Time 0.334 (0.353) Data 0.001 (0.027) Loss 1.9878 (1.7556) Prec@1 50.781 (60.497) Prec@5 80.469 (81.088) Epoch: [48][110/10010] Time 0.332 (0.351) Data 0.001 (0.025) Loss 1.5772 (1.7514) Prec@1 66.406 (60.529) Prec@5 86.719 (81.151) Epoch: [48][120/10010] Time 0.325 (0.349) Data 0.001 (0.023) Loss 1.9453 (1.7478) Prec@1 58.594 (60.653) Prec@5 80.469 (81.327) Epoch: [48][130/10010] Time 0.329 (0.348) Data 0.001 (0.021) Loss 1.6388 (1.7529) Prec@1 62.500 (60.496) Prec@5 85.156 (81.274) Epoch: [48][140/10010] Time 0.325 (0.346) Data 0.001 (0.020) Loss 1.6038 (1.7559) Prec@1 62.500 (60.400) Prec@5 83.594 (81.294) Epoch: [48][150/10010] Time 0.327 (0.345) Data 0.001 (0.018) Loss 1.8901 (1.7543) Prec@1 57.031 (60.379) Prec@5 79.688 (81.317) Epoch: [48][160/10010] Time 0.316 (0.344) Data 0.000 (0.017) Loss 1.6717 (1.7562) Prec@1 59.375 (60.297) Prec@5 82.812 (81.308) Epoch: [48][170/10010] Time 0.323 (0.343) Data 0.001 (0.016) Loss 1.8182 (1.7610) Prec@1 53.906 (60.124) Prec@5 78.906 (81.232) Epoch: [48][180/10010] Time 0.341 (0.343) Data 0.001 (0.015) Loss 1.7666 (1.7564) Prec@1 59.375 (60.156) Prec@5 81.250 (81.280) Epoch: [48][190/10010] Time 0.328 (0.342) Data 0.000 (0.015) Loss 1.5716 (1.7542) Prec@1 66.406 (60.128) Prec@5 80.469 (81.311) Epoch: [48][200/10010] Time 0.331 (0.341) Data 0.000 (0.014) Loss 2.1267 (1.7522) Prec@1 53.125 (60.133) Prec@5 75.781 (81.351) Epoch: [48][210/10010] Time 0.339 (0.341) Data 0.000 (0.013) Loss 1.5906 (1.7511) Prec@1 61.719 (60.178) Prec@5 84.375 (81.328) Epoch: [48][220/10010] Time 0.329 (0.340) Data 0.001 (0.013) Loss 1.8304 (1.7561) Prec@1 61.719 (60.018) Prec@5 79.688 (81.275) Epoch: [48][230/10010] Time 0.322 (0.340) Data 0.001 (0.012) Loss 1.7307 (1.7552) Prec@1 61.719 (60.007) Prec@5 83.594 (81.291) Epoch: [48][240/10010] Time 0.326 (0.339) Data 0.000 (0.012) Loss 1.6314 (1.7593) Prec@1 60.938 (59.962) Prec@5 83.594 (81.237) Epoch: [48][250/10010] Time 0.331 (0.339) Data 0.001 (0.011) Loss 2.3151 (1.7627) Prec@1 56.250 (59.941) Prec@5 70.312 (81.185) Epoch: [48][260/10010] Time 0.333 (0.339) Data 0.001 (0.011) Loss 1.8913 (1.7608) Prec@1 57.031 (59.965) Prec@5 75.000 (81.235) Epoch: [48][270/10010] Time 0.329 (0.338) Data 0.000 (0.011) Loss 1.7670 (1.7623) Prec@1 62.500 (59.911) Prec@5 83.594 (81.238) Epoch: [48][280/10010] Time 0.318 (0.338) Data 0.000 (0.010) Loss 1.8226 (1.7652) Prec@1 57.031 (59.828) Prec@5 80.469 (81.206) Epoch: [48][290/10010] Time 0.323 (0.338) Data 0.001 (0.010) Loss 1.6564 (1.7643) Prec@1 65.625 (59.823) Prec@5 82.812 (81.204) Epoch: [48][300/10010] Time 0.343 (0.338) Data 0.001 (0.010) Loss 1.9494 (1.7651) Prec@1 56.250 (59.814) Prec@5 77.344 (81.203) Epoch: [48][310/10010] Time 0.342 (0.337) Data 0.001 (0.009) Loss 1.7028 (1.7637) Prec@1 61.719 (59.837) Prec@5 81.250 (81.207) Epoch: [48][320/10010] Time 0.342 (0.337) Data 0.001 (0.009) Loss 1.5802 (1.7650) Prec@1 66.406 (59.818) Prec@5 82.812 (81.199) Epoch: [48][330/10010] Time 0.338 (0.337) Data 0.000 (0.009) Loss 1.8670 (1.7632) Prec@1 55.469 (59.840) Prec@5 80.469 (81.250) Epoch: [48][340/10010] Time 0.325 (0.337) Data 0.001 (0.008) Loss 1.4907 (1.7655) Prec@1 63.281 (59.801) Prec@5 85.938 (81.200) Epoch: [48][350/10010] Time 0.326 (0.337) Data 0.000 (0.008) Loss 1.4115 (1.7635) Prec@1 69.531 (59.856) Prec@5 86.719 (81.272) Epoch: [48][360/10010] Time 0.339 (0.337) Data 0.001 (0.008) Loss 1.8982 (1.7620) Prec@1 52.344 (59.881) Prec@5 77.344 (81.302) Epoch: [48][370/10010] Time 0.317 (0.337) Data 0.001 (0.008) Loss 1.6634 (1.7601) Prec@1 63.281 (59.960) Prec@5 82.031 (81.301) Epoch: [48][380/10010] Time 0.338 (0.337) Data 0.001 (0.008) Loss 1.6945 (1.7583) Prec@1 55.469 (60.000) Prec@5 82.812 (81.322) Epoch: [48][390/10010] Time 0.342 (0.337) Data 0.000 (0.007) Loss 1.5650 (1.7588) Prec@1 63.281 (60.022) Prec@5 83.594 (81.310) Epoch: [48][400/10010] Time 0.320 (0.336) Data 0.001 (0.007) Loss 2.1512 (1.7614) Prec@1 54.688 (59.983) Prec@5 72.656 (81.283) Epoch: [48][410/10010] Time 0.340 (0.336) Data 0.001 (0.007) Loss 1.5908 (1.7597) Prec@1 59.375 (59.991) Prec@5 81.250 (81.318) Epoch: [48][420/10010] Time 0.322 (0.336) Data 0.000 (0.007) Loss 1.7329 (1.7598) Prec@1 60.156 (59.991) Prec@5 85.156 (81.356) Epoch: [48][430/10010] Time 0.324 (0.336) Data 0.001 (0.007) Loss 1.5818 (1.7574) Prec@1 64.844 (60.037) Prec@5 84.375 (81.379) Epoch: [48][440/10010] Time 0.338 (0.336) Data 0.001 (0.007) Loss 1.7601 (1.7586) Prec@1 60.156 (60.020) Prec@5 81.250 (81.339) Epoch: [48][450/10010] Time 0.315 (0.336) Data 0.001 (0.007) Loss 1.8266 (1.7608) Prec@1 55.469 (60.002) Prec@5 78.906 (81.314) Epoch: [48][460/10010] Time 0.327 (0.336) Data 0.000 (0.006) Loss 1.7273 (1.7610) Prec@1 61.719 (59.983) Prec@5 79.688 (81.319) Epoch: [48][470/10010] Time 0.335 (0.336) Data 0.001 (0.006) Loss 1.9694 (1.7599) Prec@1 55.469 (60.010) Prec@5 76.562 (81.336) Epoch: [48][480/10010] Time 0.329 (0.335) Data 0.001 (0.006) Loss 1.8161 (1.7611) Prec@1 59.375 (60.018) Prec@5 80.469 (81.326) Epoch: [48][490/10010] Time 0.331 (0.335) Data 0.001 (0.006) Loss 2.2292 (1.7607) Prec@1 55.469 (60.031) Prec@5 70.312 (81.331) Epoch: [48][500/10010] Time 0.318 (0.335) Data 0.001 (0.006) Loss 1.8276 (1.7599) Prec@1 59.375 (60.044) Prec@5 79.688 (81.328) Epoch: [48][510/10010] Time 0.324 (0.335) Data 0.000 (0.006) Loss 1.5238 (1.7597) Prec@1 60.938 (60.037) Prec@5 82.031 (81.328) Epoch: [48][520/10010] Time 0.324 (0.335) Data 0.000 (0.006) Loss 1.9310 (1.7583) Prec@1 57.812 (60.066) Prec@5 76.562 (81.335) Epoch: [48][530/10010] Time 0.334 (0.335) Data 0.001 (0.006) Loss 1.7899 (1.7586) Prec@1 61.719 (60.075) Prec@5 79.688 (81.329) Epoch: [48][540/10010] Time 0.323 (0.335) Data 0.001 (0.006) Loss 2.0086 (1.7581) Prec@1 57.812 (60.085) Prec@5 74.219 (81.322) Epoch: [48][550/10010] Time 0.331 (0.335) Data 0.000 (0.005) Loss 1.6601 (1.7578) Prec@1 61.719 (60.080) Prec@5 82.812 (81.332) Epoch: [48][560/10010] Time 0.345 (0.335) Data 0.000 (0.005) Loss 1.8680 (1.7572) Prec@1 56.250 (60.067) Prec@5 78.906 (81.349) Epoch: [48][570/10010] Time 0.322 (0.335) Data 0.001 (0.005) Loss 1.6938 (1.7586) Prec@1 57.031 (60.041) Prec@5 80.469 (81.333) Epoch: [48][580/10010] Time 0.320 (0.334) Data 0.001 (0.005) Loss 1.9952 (1.7596) Prec@1 53.906 (60.027) Prec@5 82.812 (81.321) Epoch: [48][590/10010] Time 0.325 (0.334) Data 0.000 (0.005) Loss 1.9805 (1.7593) Prec@1 61.719 (60.040) Prec@5 78.906 (81.333) Epoch: [48][600/10010] Time 0.338 (0.334) Data 0.001 (0.005) Loss 1.5260 (1.7599) Prec@1 63.281 (60.037) Prec@5 85.938 (81.333) Epoch: [48][610/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 1.7191 (1.7616) Prec@1 61.719 (60.003) Prec@5 82.031 (81.302) Epoch: [48][620/10010] Time 0.325 (0.334) Data 0.001 (0.005) Loss 1.6977 (1.7625) Prec@1 64.062 (59.978) Prec@5 82.812 (81.303) Epoch: [48][630/10010] Time 0.332 (0.334) Data 0.000 (0.005) Loss 1.8856 (1.7637) Prec@1 61.719 (59.979) Prec@5 78.906 (81.295) Epoch: [48][640/10010] Time 0.332 (0.334) Data 0.001 (0.005) Loss 1.9592 (1.7635) Prec@1 60.156 (59.989) Prec@5 78.125 (81.302) Epoch: [48][650/10010] Time 0.331 (0.334) Data 0.001 (0.005) Loss 1.5274 (1.7626) Prec@1 61.719 (60.017) Prec@5 83.594 (81.320) Epoch: [48][660/10010] Time 0.334 (0.334) Data 0.001 (0.005) Loss 1.9623 (1.7624) Prec@1 58.594 (60.009) Prec@5 78.906 (81.333) Epoch: [48][670/10010] Time 0.321 (0.334) Data 0.000 (0.005) Loss 1.7904 (1.7634) Prec@1 58.594 (59.996) Prec@5 78.906 (81.323) Epoch: [48][680/10010] Time 0.328 (0.334) Data 0.000 (0.005) Loss 2.3056 (1.7654) Prec@1 46.094 (59.974) Prec@5 73.438 (81.302) Epoch: [48][690/10010] Time 0.324 (0.334) Data 0.001 (0.005) Loss 1.8535 (1.7663) Prec@1 54.688 (59.963) Prec@5 81.250 (81.300) Epoch: [48][700/10010] Time 0.348 (0.334) Data 0.001 (0.004) Loss 1.8950 (1.7678) Prec@1 60.938 (59.941) Prec@5 78.906 (81.266) Epoch: [48][710/10010] Time 0.324 (0.334) Data 0.001 (0.004) Loss 1.6902 (1.7680) Prec@1 58.594 (59.924) Prec@5 83.594 (81.264) Epoch: [48][720/10010] Time 0.340 (0.334) Data 0.000 (0.004) Loss 1.5089 (1.7663) Prec@1 64.844 (59.970) Prec@5 85.156 (81.289) Epoch: [48][730/10010] Time 0.351 (0.334) Data 0.001 (0.004) Loss 1.7349 (1.7664) Prec@1 62.500 (59.972) Prec@5 82.031 (81.286) Epoch: [48][740/10010] Time 0.323 (0.334) Data 0.001 (0.004) Loss 1.7475 (1.7662) Prec@1 54.688 (59.968) Prec@5 83.594 (81.285) Epoch: [48][750/10010] Time 0.336 (0.334) Data 0.001 (0.004) Loss 1.7165 (1.7678) Prec@1 60.156 (59.928) Prec@5 84.375 (81.255) Epoch: [48][760/10010] Time 0.325 (0.334) Data 0.001 (0.004) Loss 1.6466 (1.7680) Prec@1 65.625 (59.930) Prec@5 83.594 (81.246) Epoch: [48][770/10010] Time 0.328 (0.334) Data 0.000 (0.004) Loss 1.9105 (1.7683) Prec@1 57.031 (59.906) 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: [48][780/10010] Time 0.347 (0.334) Data 0.001 (0.004) Loss 2.4729 (1.7685) Prec@1 50.781 (59.890) Prec@5 71.875 (81.236) Epoch: [48][790/10010] Time 0.317 (0.334) Data 0.000 (0.004) Loss 1.5418 (1.7671) Prec@1 64.062 (59.911) Prec@5 87.500 (81.254) /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][800/10010] Time 0.343 (0.334) Data 0.000 (0.004) Loss 1.7186 (1.7682) Prec@1 59.375 (59.887) Prec@5 78.906 (81.230) Epoch: [48][810/10010] Time 0.322 (0.334) Data 0.001 (0.004) Loss 1.6059 (1.7685) Prec@1 61.719 (59.895) Prec@5 82.812 (81.211) Epoch: [48][820/10010] Time 0.333 (0.334) Data 0.000 (0.004) Loss 1.6529 (1.7691) Prec@1 64.062 (59.875) Prec@5 81.250 (81.217) Epoch: [48][830/10010] Time 0.325 (0.334) Data 0.000 (0.004) Loss 2.0439 (1.7706) Prec@1 50.000 (59.834) Prec@5 75.781 (81.193) Epoch: [48][840/10010] Time 0.328 (0.334) Data 0.001 (0.004) Loss 1.3579 (1.7703) Prec@1 67.969 (59.837) Prec@5 89.062 (81.200) Epoch: [48][850/10010] Time 0.337 (0.334) Data 0.001 (0.004) Loss 1.6607 (1.7710) Prec@1 69.531 (59.807) Prec@5 82.812 (81.185) Epoch: [48][860/10010] Time 0.322 (0.334) Data 0.001 (0.004) Loss 1.7081 (1.7718) Prec@1 61.719 (59.784) Prec@5 78.906 (81.162) Epoch: [48][870/10010] Time 0.341 (0.334) Data 0.000 (0.004) Loss 1.6793 (1.7708) Prec@1 64.062 (59.814) Prec@5 86.719 (81.176) Epoch: [48][880/10010] Time 0.332 (0.334) Data 0.000 (0.004) Loss 2.0053 (1.7704) Prec@1 55.469 (59.818) Prec@5 79.688 (81.189) Epoch: [48][890/10010] Time 0.333 (0.334) Data 0.001 (0.004) Loss 2.0831 (1.7702) Prec@1 49.219 (59.822) Prec@5 75.000 (81.191) Epoch: [48][900/10010] Time 0.317 (0.334) Data 0.001 (0.004) Loss 1.8202 (1.7701) Prec@1 61.719 (59.821) Prec@5 78.906 (81.194) Epoch: [48][910/10010] Time 0.324 (0.333) Data 0.001 (0.004) Loss 1.6787 (1.7702) Prec@1 61.719 (59.812) Prec@5 80.469 (81.189) Epoch: [48][920/10010] Time 0.323 (0.333) Data 0.001 (0.004) Loss 1.6103 (1.7693) Prec@1 67.188 (59.831) Prec@5 85.938 (81.200) Epoch: [48][930/10010] Time 0.322 (0.333) Data 0.001 (0.004) Loss 1.5377 (1.7695) Prec@1 64.062 (59.828) Prec@5 83.594 (81.195) Epoch: [48][940/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 1.4408 (1.7697) Prec@1 66.406 (59.825) Prec@5 85.156 (81.189) Epoch: [48][950/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.4599 (1.7695) Prec@1 64.844 (59.836) Prec@5 82.031 (81.176) Epoch: [48][960/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 1.8808 (1.7698) Prec@1 61.719 (59.820) Prec@5 79.688 (81.174) Epoch: [48][970/10010] Time 0.334 (0.333) Data 0.000 (0.003) Loss 1.7910 (1.7702) Prec@1 61.719 (59.804) Prec@5 79.688 (81.166) Epoch: [48][980/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.7380 (1.7696) Prec@1 61.719 (59.806) Prec@5 78.906 (81.179) Epoch: [48][990/10010] Time 0.323 (0.333) Data 0.000 (0.003) Loss 1.3983 (1.7692) Prec@1 67.188 (59.806) Prec@5 89.062 (81.192) Epoch: [48][1000/10010] Time 0.342 (0.333) Data 0.001 (0.003) Loss 1.8446 (1.7680) Prec@1 59.375 (59.832) Prec@5 82.031 (81.216) Epoch: [48][1010/10010] Time 0.342 (0.333) Data 0.000 (0.003) Loss 1.7843 (1.7684) Prec@1 62.500 (59.824) Prec@5 84.375 (81.213) Epoch: [48][1020/10010] Time 0.341 (0.333) Data 0.000 (0.003) Loss 1.4632 (1.7681) Prec@1 63.281 (59.833) Prec@5 89.062 (81.226) Epoch: [48][1030/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.7693 (1.7684) Prec@1 60.938 (59.824) Prec@5 81.250 (81.231) Epoch: [48][1040/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 1.8543 (1.7684) Prec@1 60.156 (59.815) Prec@5 82.031 (81.230) Epoch: [48][1050/10010] Time 0.314 (0.333) Data 0.001 (0.003) Loss 1.5885 (1.7688) Prec@1 64.844 (59.814) Prec@5 82.031 (81.217) Epoch: [48][1060/10010] Time 0.321 (0.333) Data 0.001 (0.003) Loss 1.6691 (1.7683) Prec@1 62.500 (59.826) Prec@5 78.906 (81.218) Epoch: [48][1070/10010] Time 0.331 (0.333) Data 0.001 (0.003) Loss 1.4211 (1.7683) Prec@1 67.188 (59.814) Prec@5 85.938 (81.219) Epoch: [48][1080/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 1.7036 (1.7688) Prec@1 57.812 (59.803) Prec@5 82.812 (81.228) Epoch: [48][1090/10010] Time 0.334 (0.333) Data 0.001 (0.003) Loss 1.5037 (1.7682) Prec@1 64.844 (59.817) Prec@5 85.156 (81.229) Epoch: [48][1100/10010] Time 0.346 (0.333) Data 0.001 (0.003) Loss 1.3318 (1.7674) Prec@1 64.844 (59.826) Prec@5 88.281 (81.238) Epoch: [48][1110/10010] Time 0.318 (0.333) Data 0.001 (0.003) Loss 2.2082 (1.7666) Prec@1 56.250 (59.834) Prec@5 72.656 (81.247) Epoch: [48][1120/10010] Time 0.325 (0.333) Data 0.001 (0.003) Loss 1.6492 (1.7658) Prec@1 63.281 (59.855) Prec@5 82.812 (81.260) Epoch: [48][1130/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 1.9371 (1.7663) Prec@1 54.688 (59.832) Prec@5 80.469 (81.262) Epoch: [48][1140/10010] Time 0.346 (0.333) Data 0.000 (0.003) Loss 1.7596 (1.7659) Prec@1 60.938 (59.836) Prec@5 82.812 (81.263) Epoch: [48][1150/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.6766 (1.7657) Prec@1 61.719 (59.832) Prec@5 82.031 (81.265) Epoch: [48][1160/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 1.7596 (1.7663) Prec@1 60.938 (59.820) Prec@5 82.812 (81.251) Epoch: [48][1170/10010] Time 0.331 (0.333) Data 0.000 (0.003) Loss 1.7666 (1.7661) Prec@1 62.500 (59.817) Prec@5 82.031 (81.252) Epoch: [48][1180/10010] Time 0.329 (0.333) Data 0.001 (0.003) Loss 2.0020 (1.7663) Prec@1 54.688 (59.816) Prec@5 75.000 (81.248) Epoch: [48][1190/10010] Time 0.343 (0.333) Data 0.001 (0.003) Loss 1.7670 (1.7664) Prec@1 55.469 (59.805) Prec@5 79.688 (81.253) Epoch: [48][1200/10010] Time 0.340 (0.333) Data 0.001 (0.003) Loss 1.9303 (1.7660) Prec@1 59.375 (59.812) Prec@5 78.125 (81.261) Epoch: [48][1210/10010] Time 0.324 (0.333) Data 0.001 (0.003) Loss 1.7252 (1.7663) Prec@1 57.812 (59.804) Prec@5 83.594 (81.261) Epoch: [48][1220/10010] Time 0.322 (0.333) Data 0.001 (0.003) Loss 1.6811 (1.7663) Prec@1 60.938 (59.803) Prec@5 83.594 (81.259) Epoch: [48][1230/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 1.9867 (1.7668) Prec@1 57.031 (59.786) Prec@5 77.344 (81.245) Epoch: [48][1240/10010] Time 0.329 (0.333) Data 0.000 (0.003) Loss 2.1483 (1.7678) Prec@1 53.906 (59.760) Prec@5 74.219 (81.229) Epoch: [48][1250/10010] Time 0.343 (0.333) Data 0.000 (0.003) Loss 1.6067 (1.7678) Prec@1 59.375 (59.744) Prec@5 82.031 (81.237) Epoch: [48][1260/10010] Time 0.339 (0.333) Data 0.001 (0.003) Loss 1.5156 (1.7670) Prec@1 59.375 (59.750) Prec@5 88.281 (81.251) Epoch: [48][1270/10010] Time 0.313 (0.333) Data 0.001 (0.003) Loss 1.6133 (1.7668) Prec@1 62.500 (59.759) Prec@5 86.719 (81.259) Epoch: [48][1280/10010] Time 0.344 (0.333) Data 0.001 (0.003) Loss 2.0745 (1.7672) Prec@1 49.219 (59.754) Prec@5 80.469 (81.254) Epoch: [48][1290/10010] Time 0.324 (0.333) Data 0.000 (0.003) Loss 1.8357 (1.7668) Prec@1 61.719 (59.761) Prec@5 80.469 (81.256) Epoch: [48][1300/10010] Time 0.330 (0.333) Data 0.001 (0.003) Loss 1.7516 (1.7666) Prec@1 53.906 (59.756) Prec@5 85.156 (81.270) Epoch: [48][1310/10010] Time 0.326 (0.333) Data 0.001 (0.003) Loss 1.4608 (1.7663) Prec@1 64.844 (59.758) Prec@5 85.156 (81.272) Epoch: [48][1320/10010] Time 0.333 (0.333) Data 0.000 (0.003) Loss 1.6631 (1.7668) Prec@1 65.625 (59.751) Prec@5 80.469 (81.261) Epoch: [48][1330/10010] Time 0.340 (0.333) Data 0.000 (0.003) Loss 1.6252 (1.7669) Prec@1 59.375 (59.749) Prec@5 87.500 (81.267) Epoch: [48][1340/10010] Time 0.323 (0.332) Data 0.001 (0.003) Loss 1.6639 (1.7664) Prec@1 60.938 (59.768) Prec@5 82.031 (81.281) Epoch: [48][1350/10010] Time 0.341 (0.332) Data 0.001 (0.003) Loss 1.8136 (1.7664) Prec@1 54.688 (59.768) Prec@5 82.031 (81.284) Epoch: [48][1360/10010] Time 0.330 (0.332) Data 0.000 (0.003) Loss 1.8170 (1.7663) Prec@1 63.281 (59.776) Prec@5 80.469 (81.275) Epoch: [48][1370/10010] Time 0.323 (0.333) Data 0.001 (0.003) Loss 1.7410 (1.7665) Prec@1 57.812 (59.768) Prec@5 78.125 (81.266) Epoch: [48][1380/10010] Time 0.336 (0.333) Data 0.000 (0.003) Loss 2.0773 (1.7672) Prec@1 57.812 (59.768) Prec@5 75.000 (81.245) Epoch: [48][1390/10010] Time 0.317 (0.332) Data 0.001 (0.003) Loss 1.6805 (1.7669) Prec@1 65.625 (59.773) Prec@5 80.469 (81.242) Epoch: [48][1400/10010] Time 0.328 (0.333) Data 0.001 (0.003) Loss 2.1487 (1.7667) Prec@1 53.906 (59.778) Prec@5 75.000 (81.244) Epoch: [48][1410/10010] Time 0.326 (0.332) Data 0.001 (0.003) Loss 2.0027 (1.7669) Prec@1 53.906 (59.769) Prec@5 76.562 (81.241) Epoch: [48][1420/10010] Time 0.340 (0.332) Data 0.001 (0.003) Loss 2.0735 (1.7665) Prec@1 56.250 (59.777) Prec@5 77.344 (81.247) Epoch: [48][1430/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.7261 (1.7664) Prec@1 61.719 (59.766) Prec@5 80.469 (81.254) Epoch: [48][1440/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.5855 (1.7660) Prec@1 64.844 (59.775) Prec@5 82.812 (81.263) Epoch: [48][1450/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.6635 (1.7661) Prec@1 60.938 (59.772) Prec@5 85.938 (81.259) Epoch: [48][1460/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.6484 (1.7660) Prec@1 61.719 (59.769) Prec@5 77.344 (81.252) Epoch: [48][1470/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5866 (1.7662) Prec@1 57.812 (59.768) Prec@5 86.719 (81.254) Epoch: [48][1480/10010] Time 0.318 (0.332) Data 0.000 (0.002) Loss 1.6611 (1.7667) Prec@1 60.938 (59.753) Prec@5 82.812 (81.252) Epoch: [48][1490/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.9135 (1.7669) Prec@1 57.812 (59.755) Prec@5 78.125 (81.246) Epoch: [48][1500/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.9756 (1.7672) Prec@1 53.906 (59.749) Prec@5 75.781 (81.235) Epoch: [48][1510/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.7576 (1.7675) Prec@1 58.594 (59.740) Prec@5 82.031 (81.228) Epoch: [48][1520/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8463 (1.7685) Prec@1 58.594 (59.728) Prec@5 80.469 (81.213) Epoch: [48][1530/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.5251 (1.7682) Prec@1 63.281 (59.742) Prec@5 83.594 (81.222) Epoch: [48][1540/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.6204 (1.7676) Prec@1 65.625 (59.756) Prec@5 82.812 (81.232) Epoch: [48][1550/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.5534 (1.7679) Prec@1 61.719 (59.760) Prec@5 83.594 (81.225) Epoch: [48][1560/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 2.1178 (1.7681) Prec@1 53.906 (59.756) Prec@5 75.781 (81.216) Epoch: [48][1570/10010] Time 0.336 (0.332) Data 0.001 (0.002) Loss 1.8402 (1.7682) Prec@1 55.469 (59.759) Prec@5 82.812 (81.220) Epoch: [48][1580/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.6716 (1.7685) Prec@1 63.281 (59.758) Prec@5 82.812 (81.213) Epoch: [48][1590/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.6044 (1.7687) Prec@1 62.500 (59.749) Prec@5 82.031 (81.213) Epoch: [48][1600/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.8658 (1.7694) Prec@1 58.594 (59.739) Prec@5 79.688 (81.201) Epoch: [48][1610/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.9963 (1.7696) Prec@1 51.562 (59.730) Prec@5 78.906 (81.200) Epoch: [48][1620/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.8960 (1.7697) Prec@1 61.719 (59.731) Prec@5 82.031 (81.197) Epoch: [48][1630/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.2565 (1.7693) Prec@1 74.219 (59.748) Prec@5 89.844 (81.198) Epoch: [48][1640/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.8390 (1.7696) Prec@1 53.125 (59.741) Prec@5 82.812 (81.198) Epoch: [48][1650/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.7685 (1.7695) Prec@1 60.938 (59.746) Prec@5 78.906 (81.197) Epoch: [48][1660/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 1.7344 (1.7701) Prec@1 63.281 (59.734) Prec@5 80.469 (81.189) Epoch: [48][1670/10010] Time 0.335 (0.332) Data 0.001 (0.002) Loss 1.9551 (1.7698) Prec@1 53.125 (59.729) Prec@5 77.344 (81.194) Epoch: [48][1680/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.7603 (1.7697) Prec@1 60.938 (59.732) Prec@5 82.812 (81.200) Epoch: [48][1690/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.9711 (1.7700) Prec@1 56.250 (59.723) Prec@5 74.219 (81.192) Epoch: [48][1700/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8570 (1.7700) Prec@1 60.938 (59.722) Prec@5 81.250 (81.197) Epoch: [48][1710/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.7077 (1.7698) Prec@1 61.719 (59.717) Prec@5 83.594 (81.203) Epoch: [48][1720/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8037 (1.7702) Prec@1 60.156 (59.709) Prec@5 82.031 (81.203) Epoch: [48][1730/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.5523 (1.7698) Prec@1 59.375 (59.712) Prec@5 85.156 (81.206) Epoch: [48][1740/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.6973 (1.7693) Prec@1 62.500 (59.721) Prec@5 82.031 (81.219) Epoch: [48][1750/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 2.0245 (1.7695) Prec@1 54.688 (59.721) Prec@5 82.031 (81.225) Epoch: [48][1760/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.9691 (1.7697) Prec@1 55.469 (59.715) Prec@5 78.906 (81.220) Epoch: [48][1770/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.5099 (1.7699) Prec@1 64.844 (59.715) Prec@5 85.938 (81.218) Epoch: [48][1780/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.8655 (1.7693) Prec@1 54.688 (59.721) Prec@5 78.906 (81.229) Epoch: [48][1790/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.4271 (1.7685) Prec@1 65.625 (59.733) Prec@5 82.031 (81.240) Epoch: [48][1800/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.5386 (1.7687) Prec@1 64.062 (59.719) Prec@5 85.156 (81.241) Epoch: [48][1810/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.2962 (1.7684) Prec@1 69.531 (59.731) Prec@5 89.062 (81.249) Epoch: [48][1820/10010] Time 0.336 (0.332) Data 0.000 (0.002) Loss 1.4934 (1.7681) Prec@1 66.406 (59.741) Prec@5 85.156 (81.255) Epoch: [48][1830/10010] Time 0.319 (0.332) Data 0.001 (0.002) Loss 1.6984 (1.7681) Prec@1 60.938 (59.741) Prec@5 80.469 (81.258) Epoch: [48][1840/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.6123 (1.7683) Prec@1 60.156 (59.742) Prec@5 83.594 (81.252) Epoch: [48][1850/10010] Time 0.347 (0.332) Data 0.001 (0.002) Loss 1.8708 (1.7687) Prec@1 58.594 (59.730) Prec@5 76.562 (81.245) Epoch: [48][1860/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.4120 (1.7681) Prec@1 66.406 (59.745) Prec@5 85.938 (81.252) Epoch: [48][1870/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.5958 (1.7681) Prec@1 66.406 (59.752) Prec@5 83.594 (81.250) Epoch: [48][1880/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.8228 (1.7679) Prec@1 53.125 (59.753) Prec@5 82.031 (81.249) Epoch: [48][1890/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.6713 (1.7677) Prec@1 60.156 (59.756) Prec@5 81.250 (81.248) Epoch: [48][1900/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.6698 (1.7678) Prec@1 60.156 (59.762) Prec@5 82.031 (81.247) Epoch: [48][1910/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.4279 (1.7676) Prec@1 67.969 (59.761) Prec@5 86.719 (81.250) Epoch: [48][1920/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.8209 (1.7679) Prec@1 58.594 (59.751) Prec@5 81.250 (81.247) Epoch: [48][1930/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7801 (1.7681) Prec@1 57.031 (59.749) Prec@5 78.906 (81.242) Epoch: [48][1940/10010] Time 0.328 (0.332) Data 0.001 (0.002) Loss 1.6346 (1.7673) Prec@1 60.938 (59.766) Prec@5 82.031 (81.251) Epoch: [48][1950/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.8864 (1.7672) Prec@1 55.469 (59.769) Prec@5 83.594 (81.256) Epoch: [48][1960/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.4888 (1.7674) Prec@1 64.062 (59.761) Prec@5 87.500 (81.260) Epoch: [48][1970/10010] Time 0.339 (0.332) Data 0.000 (0.002) Loss 1.7823 (1.7676) Prec@1 62.500 (59.761) Prec@5 82.812 (81.255) Epoch: [48][1980/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.8702 (1.7680) Prec@1 58.594 (59.752) Prec@5 78.125 (81.252) Epoch: [48][1990/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 1.6953 (1.7677) Prec@1 64.844 (59.762) Prec@5 78.125 (81.250) Epoch: [48][2000/10010] Time 0.347 (0.332) Data 0.000 (0.002) Loss 1.6118 (1.7683) Prec@1 64.062 (59.750) Prec@5 85.156 (81.243) Epoch: [48][2010/10010] Time 0.311 (0.332) Data 0.001 (0.002) Loss 1.4901 (1.7686) Prec@1 64.062 (59.739) Prec@5 88.281 (81.240) Epoch: [48][2020/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 2.0027 (1.7696) Prec@1 57.812 (59.720) Prec@5 78.906 (81.228) Epoch: [48][2030/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.7287 (1.7696) Prec@1 59.375 (59.716) Prec@5 82.031 (81.225) Epoch: [48][2040/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 2.1911 (1.7699) Prec@1 55.469 (59.707) Prec@5 73.438 (81.221) Epoch: [48][2050/10010] Time 0.311 (0.332) Data 0.001 (0.002) Loss 1.6705 (1.7699) Prec@1 67.188 (59.716) Prec@5 82.031 (81.221) Epoch: [48][2060/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7445 (1.7700) Prec@1 63.281 (59.710) Prec@5 80.469 (81.219) Epoch: [48][2070/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.8014 (1.7702) Prec@1 57.031 (59.704) Prec@5 82.031 (81.218) Epoch: [48][2080/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.7419 (1.7704) Prec@1 63.281 (59.699) Prec@5 78.906 (81.214) Epoch: [48][2090/10010] Time 0.318 (0.332) Data 0.001 (0.002) Loss 1.8380 (1.7703) Prec@1 57.812 (59.699) Prec@5 81.250 (81.214) Epoch: [48][2100/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.9176 (1.7702) Prec@1 53.906 (59.694) Prec@5 78.906 (81.218) Epoch: [48][2110/10010] Time 0.313 (0.332) Data 0.001 (0.002) Loss 1.8532 (1.7701) Prec@1 57.031 (59.696) Prec@5 81.250 (81.219) Epoch: [48][2120/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.9634 (1.7704) Prec@1 53.906 (59.694) Prec@5 78.906 (81.214) Epoch: [48][2130/10010] Time 0.342 (0.332) Data 0.001 (0.002) Loss 1.9305 (1.7706) Prec@1 58.594 (59.689) Prec@5 77.344 (81.208) Epoch: [48][2140/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.8424 (1.7707) Prec@1 64.062 (59.683) Prec@5 82.031 (81.208) Epoch: [48][2150/10010] Time 0.329 (0.332) Data 0.006 (0.002) Loss 2.0077 (1.7708) Prec@1 53.906 (59.684) Prec@5 78.906 (81.210) Epoch: [48][2160/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.8097 (1.7708) Prec@1 61.719 (59.688) Prec@5 77.344 (81.206) Epoch: [48][2170/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.4205 (1.7705) Prec@1 67.969 (59.697) Prec@5 85.156 (81.213) Epoch: [48][2180/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.5566 (1.7705) Prec@1 65.625 (59.690) Prec@5 85.938 (81.219) Epoch: [48][2190/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6179 (1.7703) Prec@1 64.062 (59.694) Prec@5 85.156 (81.219) Epoch: [48][2200/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.5811 (1.7700) Prec@1 62.500 (59.693) Prec@5 85.938 (81.224) Epoch: [48][2210/10010] Time 0.321 (0.332) Data 0.001 (0.002) Loss 1.7320 (1.7699) Prec@1 63.281 (59.701) Prec@5 81.250 (81.223) Epoch: [48][2220/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.6319 (1.7698) Prec@1 57.031 (59.699) Prec@5 83.594 (81.226) Epoch: [48][2230/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.6673 (1.7698) Prec@1 57.031 (59.702) Prec@5 84.375 (81.228) Epoch: [48][2240/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.4708 (1.7696) Prec@1 67.188 (59.710) Prec@5 85.156 (81.232) Epoch: [48][2250/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 1.8647 (1.7695) Prec@1 58.594 (59.712) Prec@5 77.344 (81.230) Epoch: [48][2260/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.5442 (1.7695) Prec@1 60.938 (59.713) Prec@5 85.156 (81.231) Epoch: [48][2270/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.7891 (1.7695) Prec@1 60.156 (59.715) Prec@5 80.469 (81.229) Epoch: [48][2280/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.6683 (1.7691) Prec@1 64.062 (59.730) Prec@5 85.938 (81.238) Epoch: [48][2290/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.9375 (1.7691) Prec@1 55.469 (59.728) Prec@5 80.469 (81.239) Epoch: [48][2300/10010] Time 0.316 (0.332) Data 0.001 (0.002) Loss 1.7510 (1.7693) Prec@1 60.156 (59.724) Prec@5 83.594 (81.236) Epoch: [48][2310/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.6193 (1.7693) Prec@1 61.719 (59.723) Prec@5 83.594 (81.238) Epoch: [48][2320/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.7589 (1.7694) Prec@1 58.594 (59.722) Prec@5 81.250 (81.237) Epoch: [48][2330/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.9880 (1.7697) Prec@1 55.469 (59.714) Prec@5 77.344 (81.231) Epoch: [48][2340/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.9661 (1.7701) Prec@1 49.219 (59.707) Prec@5 75.000 (81.225) Epoch: [48][2350/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.6048 (1.7699) Prec@1 60.156 (59.710) Prec@5 86.719 (81.228) Epoch: [48][2360/10010] Time 0.340 (0.332) Data 0.001 (0.002) Loss 2.0650 (1.7703) Prec@1 54.688 (59.710) Prec@5 75.781 (81.220) Epoch: [48][2370/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.6731 (1.7703) Prec@1 60.156 (59.713) Prec@5 81.250 (81.221) Epoch: [48][2380/10010] Time 0.327 (0.332) Data 0.000 (0.002) Loss 1.9746 (1.7701) Prec@1 55.469 (59.721) Prec@5 78.125 (81.223) Epoch: [48][2390/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.8388 (1.7702) Prec@1 60.156 (59.716) Prec@5 79.688 (81.222) Epoch: [48][2400/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.7719 (1.7702) Prec@1 54.688 (59.717) Prec@5 82.031 (81.219) Epoch: [48][2410/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 2.0137 (1.7702) Prec@1 57.031 (59.721) Prec@5 75.000 (81.216) Epoch: [48][2420/10010] Time 0.325 (0.332) Data 0.001 (0.002) Loss 1.5230 (1.7700) Prec@1 61.719 (59.724) Prec@5 85.938 (81.215) Epoch: [48][2430/10010] Time 0.327 (0.332) Data 0.001 (0.002) Loss 1.9367 (1.7705) Prec@1 57.812 (59.714) Prec@5 77.344 (81.205) Epoch: [48][2440/10010] Time 0.337 (0.332) Data 0.001 (0.002) Loss 1.7053 (1.7702) Prec@1 65.625 (59.715) Prec@5 84.375 (81.206) Epoch: [48][2450/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.8893 (1.7700) Prec@1 53.125 (59.721) Prec@5 83.594 (81.208) Epoch: [48][2460/10010] Time 0.333 (0.332) Data 0.001 (0.002) Loss 1.5761 (1.7700) Prec@1 60.156 (59.722) Prec@5 85.156 (81.213) Epoch: [48][2470/10010] Time 0.345 (0.332) Data 0.001 (0.002) Loss 1.5447 (1.7698) Prec@1 60.156 (59.722) Prec@5 86.719 (81.218) Epoch: [48][2480/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.6527 (1.7700) Prec@1 53.906 (59.723) Prec@5 85.938 (81.213) Epoch: [48][2490/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.4294 (1.7702) Prec@1 67.969 (59.719) Prec@5 86.719 (81.209) Epoch: [48][2500/10010] Time 0.333 (0.332) Data 0.000 (0.002) Loss 1.6018 (1.7702) Prec@1 62.500 (59.721) Prec@5 82.812 (81.212) Epoch: [48][2510/10010] Time 0.343 (0.332) Data 0.001 (0.002) Loss 1.4989 (1.7700) Prec@1 64.062 (59.729) Prec@5 88.281 (81.218) Epoch: [48][2520/10010] Time 0.320 (0.332) Data 0.001 (0.002) Loss 1.4738 (1.7697) Prec@1 60.938 (59.729) Prec@5 85.938 (81.224) Epoch: [48][2530/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 1.9594 (1.7697) Prec@1 53.125 (59.726) Prec@5 81.250 (81.228) Epoch: [48][2540/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 1.7991 (1.7695) Prec@1 62.500 (59.729) Prec@5 82.812 (81.229) Epoch: [48][2550/10010] Time 0.317 (0.332) Data 0.001 (0.002) Loss 1.5962 (1.7697) Prec@1 63.281 (59.733) Prec@5 84.375 (81.230) Epoch: [48][2560/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.5616 (1.7696) Prec@1 62.500 (59.736) Prec@5 84.375 (81.234) Epoch: [48][2570/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.0847 (1.7698) Prec@1 54.688 (59.736) Prec@5 77.344 (81.232) Epoch: [48][2580/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.6919 (1.7700) Prec@1 60.156 (59.732) Prec@5 78.125 (81.232) Epoch: [48][2590/10010] Time 0.322 (0.332) Data 0.000 (0.002) Loss 1.7934 (1.7700) Prec@1 56.250 (59.729) Prec@5 78.906 (81.236) Epoch: [48][2600/10010] Time 0.324 (0.332) Data 0.000 (0.002) Loss 1.7772 (1.7701) Prec@1 60.938 (59.729) Prec@5 80.469 (81.240) Epoch: [48][2610/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.7050 (1.7702) Prec@1 60.156 (59.730) Prec@5 80.469 (81.238) Epoch: [48][2620/10010] Time 0.339 (0.332) Data 0.001 (0.002) Loss 1.6960 (1.7701) Prec@1 66.406 (59.736) Prec@5 80.469 (81.243) Epoch: [48][2630/10010] Time 0.344 (0.332) Data 0.001 (0.002) Loss 1.3617 (1.7699) Prec@1 66.406 (59.739) Prec@5 89.844 (81.248) Epoch: [48][2640/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.5692 (1.7700) Prec@1 60.938 (59.736) Prec@5 85.156 (81.243) Epoch: [48][2650/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.7407 (1.7697) Prec@1 62.500 (59.745) Prec@5 78.906 (81.245) Epoch: [48][2660/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.9470 (1.7696) Prec@1 56.250 (59.746) Prec@5 78.125 (81.247) Epoch: [48][2670/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.6412 (1.7698) Prec@1 63.281 (59.740) Prec@5 85.938 (81.248) Epoch: [48][2680/10010] Time 0.326 (0.332) Data 0.001 (0.002) Loss 2.0302 (1.7699) Prec@1 57.812 (59.742) Prec@5 77.344 (81.246) Epoch: [48][2690/10010] Time 0.317 (0.332) Data 0.000 (0.002) Loss 1.9784 (1.7699) Prec@1 54.688 (59.740) Prec@5 78.125 (81.247) Epoch: [48][2700/10010] Time 0.332 (0.332) Data 0.000 (0.002) Loss 1.8565 (1.7700) Prec@1 57.031 (59.734) Prec@5 78.906 (81.245) Epoch: [48][2710/10010] Time 0.329 (0.332) Data 0.000 (0.002) Loss 1.6119 (1.7702) Prec@1 60.938 (59.722) Prec@5 85.156 (81.241) Epoch: [48][2720/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.9927 (1.7703) Prec@1 50.000 (59.716) Prec@5 73.438 (81.240) Epoch: [48][2730/10010] Time 0.346 (0.332) Data 0.001 (0.002) Loss 1.4256 (1.7701) Prec@1 62.500 (59.717) Prec@5 83.594 (81.238) Epoch: [48][2740/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.8535 (1.7702) Prec@1 60.156 (59.717) Prec@5 82.812 (81.239) Epoch: [48][2750/10010] Time 0.335 (0.332) Data 0.000 (0.002) Loss 1.4520 (1.7702) Prec@1 65.625 (59.714) Prec@5 89.062 (81.242) Epoch: [48][2760/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6109 (1.7702) Prec@1 62.500 (59.715) Prec@5 82.031 (81.240) Epoch: [48][2770/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 2.0131 (1.7703) Prec@1 55.469 (59.710) Prec@5 81.250 (81.239) Epoch: [48][2780/10010] Time 0.330 (0.332) Data 0.001 (0.002) Loss 1.7120 (1.7707) Prec@1 60.156 (59.707) Prec@5 82.031 (81.234) Epoch: [48][2790/10010] Time 0.348 (0.332) Data 0.001 (0.002) Loss 1.2932 (1.7706) Prec@1 67.969 (59.708) Prec@5 86.719 (81.237) Epoch: [48][2800/10010] Time 0.342 (0.332) Data 0.000 (0.002) Loss 1.7071 (1.7707) Prec@1 64.844 (59.709) Prec@5 83.594 (81.237) Epoch: [48][2810/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.7134 (1.7707) Prec@1 61.719 (59.714) Prec@5 78.906 (81.235) Epoch: [48][2820/10010] Time 0.340 (0.332) Data 0.000 (0.002) Loss 1.6816 (1.7708) Prec@1 54.688 (59.711) Prec@5 85.938 (81.236) Epoch: [48][2830/10010] Time 0.320 (0.332) Data 0.000 (0.002) Loss 1.6422 (1.7709) Prec@1 61.719 (59.704) Prec@5 82.812 (81.233) Epoch: [48][2840/10010] Time 0.334 (0.332) Data 0.001 (0.002) Loss 1.8327 (1.7710) Prec@1 58.594 (59.707) Prec@5 77.344 (81.228) Epoch: [48][2850/10010] Time 0.341 (0.332) Data 0.000 (0.002) Loss 1.8769 (1.7711) Prec@1 55.469 (59.704) Prec@5 78.906 (81.231) Epoch: [48][2860/10010] Time 0.344 (0.332) Data 0.000 (0.002) Loss 1.9047 (1.7708) Prec@1 52.344 (59.705) Prec@5 78.906 (81.237) Epoch: [48][2870/10010] Time 0.313 (0.332) Data 0.000 (0.002) Loss 2.0373 (1.7709) Prec@1 48.438 (59.704) Prec@5 75.781 (81.235) Epoch: [48][2880/10010] Time 0.338 (0.332) Data 0.000 (0.002) Loss 1.3794 (1.7709) Prec@1 70.312 (59.706) Prec@5 89.844 (81.235) Epoch: [48][2890/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.8997 (1.7710) Prec@1 50.781 (59.697) Prec@5 81.250 (81.238) Epoch: [48][2900/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.6908 (1.7710) Prec@1 55.469 (59.695) Prec@5 82.031 (81.238) Epoch: [48][2910/10010] Time 0.341 (0.332) Data 0.001 (0.002) Loss 1.7438 (1.7712) Prec@1 65.625 (59.690) Prec@5 85.156 (81.234) Epoch: [48][2920/10010] Time 0.343 (0.332) Data 0.000 (0.002) Loss 1.9044 (1.7710) Prec@1 52.344 (59.692) Prec@5 77.344 (81.233) Epoch: [48][2930/10010] Time 0.345 (0.332) Data 0.000 (0.002) Loss 1.6043 (1.7710) Prec@1 60.156 (59.690) Prec@5 83.594 (81.229) Epoch: [48][2940/10010] Time 0.322 (0.332) Data 0.001 (0.002) Loss 1.8098 (1.7711) Prec@1 56.250 (59.686) Prec@5 80.469 (81.228) Epoch: [48][2950/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.5826 (1.7710) Prec@1 63.281 (59.684) Prec@5 83.594 (81.230) Epoch: [48][2960/10010] Time 0.338 (0.332) Data 0.001 (0.002) Loss 1.6815 (1.7708) Prec@1 64.844 (59.686) Prec@5 80.469 (81.233) Epoch: [48][2970/10010] Time 0.332 (0.332) Data 0.001 (0.002) Loss 1.8892 (1.7712) Prec@1 60.156 (59.679) Prec@5 81.250 (81.226) Epoch: [48][2980/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8457 (1.7717) Prec@1 53.906 (59.671) Prec@5 82.031 (81.224) Epoch: [48][2990/10010] Time 0.328 (0.332) Data 0.000 (0.002) Loss 1.4050 (1.7718) Prec@1 62.500 (59.671) Prec@5 86.719 (81.222) Epoch: [48][3000/10010] Time 0.337 (0.332) Data 0.000 (0.002) Loss 1.7186 (1.7718) Prec@1 61.719 (59.668) Prec@5 85.156 (81.224) Epoch: [48][3010/10010] Time 0.331 (0.332) Data 0.001 (0.002) Loss 1.6544 (1.7718) Prec@1 58.594 (59.662) Prec@5 89.062 (81.225) Epoch: [48][3020/10010] Time 0.324 (0.332) Data 0.001 (0.002) Loss 1.5606 (1.7718) Prec@1 59.375 (59.658) Prec@5 87.500 (81.220) Epoch: [48][3030/10010] Time 0.323 (0.332) Data 0.001 (0.002) Loss 1.9765 (1.7719) Prec@1 51.562 (59.651) Prec@5 79.688 (81.219) /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][3040/10010] Time 0.325 (0.332) Data 0.000 (0.002) Loss 1.5948 (1.7720) Prec@1 57.812 (59.649) Prec@5 85.156 (81.218) Epoch: [48][3050/10010] Time 0.326 (0.332) Data 0.000 (0.002) Loss 1.8405 (1.7721) Prec@1 57.031 (59.645) Prec@5 82.031 (81.215) Epoch: [48][3060/10010] Time 0.323 (0.332) Data 0.000 (0.002) Loss 1.9186 (1.7721) Prec@1 57.031 (59.641) Prec@5 75.781 (81.212) Epoch: [48][3070/10010] Time 0.331 (0.332) Data 0.002 (0.002) Loss 1.8112 (1.7720) Prec@1 63.281 (59.640) Prec@5 82.031 (81.217) Epoch: [48][3080/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8218 (1.7723) Prec@1 59.375 (59.632) Prec@5 81.250 (81.214) Epoch: [48][3090/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8369 (1.7724) Prec@1 54.688 (59.626) Prec@5 79.688 (81.210) Epoch: [48][3100/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7837 (1.7723) Prec@1 57.812 (59.624) Prec@5 78.906 (81.212) Epoch: [48][3110/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7168 (1.7724) Prec@1 57.031 (59.617) Prec@5 83.594 (81.212) Epoch: [48][3120/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8473 (1.7725) Prec@1 57.812 (59.618) Prec@5 79.688 (81.209) Epoch: [48][3130/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6109 (1.7723) Prec@1 63.281 (59.619) Prec@5 84.375 (81.210) Epoch: [48][3140/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5886 (1.7723) Prec@1 61.719 (59.622) Prec@5 82.031 (81.209) Epoch: [48][3150/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.6581 (1.7727) Prec@1 65.625 (59.615) Prec@5 82.031 (81.206) Epoch: [48][3160/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.2184 (1.7728) Prec@1 53.906 (59.615) Prec@5 75.000 (81.204) Epoch: [48][3170/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 2.0115 (1.7729) Prec@1 53.125 (59.611) Prec@5 79.688 (81.202) Epoch: [48][3180/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7282 (1.7730) Prec@1 61.719 (59.612) Prec@5 81.250 (81.201) Epoch: [48][3190/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6654 (1.7728) Prec@1 59.375 (59.614) Prec@5 79.688 (81.205) Epoch: [48][3200/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.0070 (1.7731) Prec@1 55.469 (59.609) Prec@5 75.000 (81.198) Epoch: [48][3210/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7776 (1.7731) Prec@1 56.250 (59.610) Prec@5 82.812 (81.200) Epoch: [48][3220/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7964 (1.7731) Prec@1 59.375 (59.606) Prec@5 82.812 (81.202) Epoch: [48][3230/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7176 (1.7729) Prec@1 60.156 (59.612) Prec@5 81.250 (81.205) Epoch: [48][3240/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.2953 (1.7731) Prec@1 53.906 (59.609) Prec@5 75.000 (81.200) Epoch: [48][3250/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8734 (1.7731) Prec@1 57.812 (59.610) Prec@5 81.250 (81.203) Epoch: [48][3260/10010] Time 0.328 (0.332) Data 0.003 (0.001) Loss 1.9001 (1.7733) Prec@1 60.156 (59.610) Prec@5 80.469 (81.200) Epoch: [48][3270/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8118 (1.7734) Prec@1 57.031 (59.610) Prec@5 81.250 (81.197) Epoch: [48][3280/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.0430 (1.7736) Prec@1 57.031 (59.604) Prec@5 77.344 (81.193) Epoch: [48][3290/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7559 (1.7735) Prec@1 62.500 (59.606) Prec@5 82.031 (81.193) Epoch: [48][3300/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6038 (1.7736) Prec@1 62.500 (59.601) Prec@5 86.719 (81.196) Epoch: [48][3310/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8345 (1.7737) Prec@1 57.812 (59.603) Prec@5 81.250 (81.198) Epoch: [48][3320/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6121 (1.7736) Prec@1 63.281 (59.607) Prec@5 86.719 (81.201) Epoch: [48][3330/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5883 (1.7736) Prec@1 64.844 (59.611) Prec@5 85.156 (81.202) Epoch: [48][3340/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7224 (1.7738) Prec@1 59.375 (59.608) Prec@5 83.594 (81.201) Epoch: [48][3350/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8598 (1.7738) Prec@1 56.250 (59.609) Prec@5 80.469 (81.200) Epoch: [48][3360/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6939 (1.7740) Prec@1 62.500 (59.607) Prec@5 84.375 (81.196) Epoch: [48][3370/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.1082 (1.7740) Prec@1 55.469 (59.606) Prec@5 76.562 (81.198) Epoch: [48][3380/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9473 (1.7741) Prec@1 62.500 (59.607) Prec@5 75.781 (81.198) Epoch: [48][3390/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8133 (1.7742) Prec@1 52.344 (59.601) Prec@5 83.594 (81.197) Epoch: [48][3400/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.4503 (1.7741) Prec@1 62.500 (59.601) Prec@5 82.031 (81.196) Epoch: [48][3410/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8102 (1.7742) Prec@1 55.469 (59.601) Prec@5 83.594 (81.191) Epoch: [48][3420/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8484 (1.7742) Prec@1 57.812 (59.599) Prec@5 83.594 (81.195) Epoch: [48][3430/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6110 (1.7741) Prec@1 63.281 (59.605) Prec@5 85.156 (81.197) Epoch: [48][3440/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.1724 (1.7741) Prec@1 55.469 (59.610) Prec@5 73.438 (81.194) Epoch: [48][3450/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6723 (1.7743) Prec@1 61.719 (59.604) Prec@5 83.594 (81.192) Epoch: [48][3460/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0212 (1.7742) Prec@1 57.031 (59.603) Prec@5 75.000 (81.192) Epoch: [48][3470/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.4119 (1.7742) Prec@1 71.875 (59.603) Prec@5 87.500 (81.193) Epoch: [48][3480/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.3629 (1.7743) Prec@1 70.312 (59.601) Prec@5 85.938 (81.191) Epoch: [48][3490/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6509 (1.7740) Prec@1 64.062 (59.604) Prec@5 85.156 (81.197) Epoch: [48][3500/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6205 (1.7738) Prec@1 60.156 (59.610) Prec@5 83.594 (81.203) Epoch: [48][3510/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6941 (1.7737) Prec@1 60.156 (59.611) Prec@5 80.469 (81.205) Epoch: [48][3520/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6066 (1.7737) Prec@1 61.719 (59.608) Prec@5 80.469 (81.203) Epoch: [48][3530/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6542 (1.7736) Prec@1 60.156 (59.610) Prec@5 82.031 (81.206) Epoch: [48][3540/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.8283 (1.7737) Prec@1 58.594 (59.605) Prec@5 77.344 (81.205) Epoch: [48][3550/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7584 (1.7737) Prec@1 60.938 (59.608) Prec@5 82.812 (81.203) Epoch: [48][3560/10010] Time 0.310 (0.332) Data 0.001 (0.001) Loss 1.7583 (1.7735) Prec@1 58.594 (59.611) Prec@5 84.375 (81.204) Epoch: [48][3570/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7630 (1.7734) Prec@1 61.719 (59.610) Prec@5 83.594 (81.207) Epoch: [48][3580/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7299 (1.7734) Prec@1 64.062 (59.610) Prec@5 82.812 (81.208) Epoch: [48][3590/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6550 (1.7735) Prec@1 60.938 (59.607) Prec@5 84.375 (81.206) Epoch: [48][3600/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6809 (1.7735) Prec@1 59.375 (59.603) Prec@5 85.156 (81.203) Epoch: [48][3610/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.9200 (1.7739) Prec@1 57.031 (59.593) Prec@5 76.562 (81.200) Epoch: [48][3620/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7611 (1.7741) Prec@1 63.281 (59.591) Prec@5 80.469 (81.198) Epoch: [48][3630/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7324 (1.7742) Prec@1 62.500 (59.590) Prec@5 80.469 (81.196) Epoch: [48][3640/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6104 (1.7742) Prec@1 60.156 (59.588) Prec@5 81.250 (81.197) /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][3650/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7415 (1.7742) Prec@1 57.031 (59.587) Prec@5 82.812 (81.197) Epoch: [48][3660/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.5915 (1.7744) Prec@1 62.500 (59.584) Prec@5 81.250 (81.192) Epoch: [48][3670/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8586 (1.7745) Prec@1 55.469 (59.585) Prec@5 83.594 (81.193) Epoch: [48][3680/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8626 (1.7747) Prec@1 66.406 (59.580) Prec@5 77.344 (81.189) Epoch: [48][3690/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6912 (1.7745) Prec@1 62.500 (59.585) Prec@5 84.375 (81.189) Epoch: [48][3700/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7075 (1.7745) Prec@1 61.719 (59.586) Prec@5 82.031 (81.191) Epoch: [48][3710/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7123 (1.7744) Prec@1 62.500 (59.587) Prec@5 78.906 (81.192) Epoch: [48][3720/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6664 (1.7746) Prec@1 61.719 (59.582) Prec@5 81.250 (81.190) Epoch: [48][3730/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.6611 (1.7743) Prec@1 61.719 (59.586) Prec@5 83.594 (81.194) Epoch: [48][3740/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5919 (1.7742) Prec@1 64.062 (59.592) Prec@5 82.031 (81.197) Epoch: [48][3750/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5849 (1.7744) Prec@1 59.375 (59.591) Prec@5 83.594 (81.195) Epoch: [48][3760/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.7217 (1.7743) Prec@1 60.938 (59.592) Prec@5 79.688 (81.195) Epoch: [48][3770/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.3480 (1.7743) Prec@1 67.188 (59.594) Prec@5 85.156 (81.194) Epoch: [48][3780/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5285 (1.7743) Prec@1 66.406 (59.595) Prec@5 86.719 (81.196) Epoch: [48][3790/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5954 (1.7744) Prec@1 63.281 (59.591) Prec@5 84.375 (81.196) Epoch: [48][3800/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8116 (1.7742) Prec@1 60.938 (59.593) Prec@5 80.469 (81.200) /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][3810/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6758 (1.7744) Prec@1 58.594 (59.587) Prec@5 82.812 (81.199) Epoch: [48][3820/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.1331 (1.7746) Prec@1 54.688 (59.583) Prec@5 77.344 (81.198) Epoch: [48][3830/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0564 (1.7746) Prec@1 54.688 (59.579) Prec@5 78.125 (81.197) Epoch: [48][3840/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7100 (1.7746) Prec@1 59.375 (59.580) Prec@5 85.156 (81.199) Epoch: [48][3850/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.2147 (1.7746) Prec@1 47.656 (59.579) Prec@5 75.000 (81.201) Epoch: [48][3860/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9186 (1.7746) Prec@1 57.812 (59.579) Prec@5 76.562 (81.202) Epoch: [48][3870/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6419 (1.7747) Prec@1 62.500 (59.577) Prec@5 82.812 (81.198) Epoch: [48][3880/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7320 (1.7749) Prec@1 58.594 (59.575) Prec@5 79.688 (81.196) Epoch: [48][3890/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.5903 (1.7749) Prec@1 67.188 (59.576) Prec@5 81.250 (81.195) Epoch: [48][3900/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9313 (1.7750) Prec@1 64.844 (59.575) Prec@5 74.219 (81.193) Epoch: [48][3910/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9315 (1.7750) Prec@1 59.375 (59.573) Prec@5 77.344 (81.193) Epoch: [48][3920/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9098 (1.7752) Prec@1 61.719 (59.571) Prec@5 80.469 (81.192) Epoch: [48][3930/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8842 (1.7751) Prec@1 53.125 (59.568) Prec@5 78.906 (81.195) Epoch: [48][3940/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.6126 (1.7750) Prec@1 62.500 (59.569) Prec@5 86.719 (81.197) Epoch: [48][3950/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.9149 (1.7750) Prec@1 58.594 (59.568) Prec@5 76.562 (81.196) Epoch: [48][3960/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9144 (1.7752) Prec@1 51.562 (59.561) Prec@5 78.125 (81.196) Epoch: [48][3970/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 1.9985 (1.7753) Prec@1 57.031 (59.558) Prec@5 78.906 (81.196) Epoch: [48][3980/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.7509 (1.7753) Prec@1 53.906 (59.555) Prec@5 79.688 (81.195) Epoch: [48][3990/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5111 (1.7752) Prec@1 63.281 (59.556) Prec@5 86.719 (81.198) Epoch: [48][4000/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7476 (1.7752) Prec@1 61.719 (59.551) Prec@5 82.031 (81.195) Epoch: [48][4010/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8281 (1.7752) Prec@1 61.719 (59.552) Prec@5 78.125 (81.195) Epoch: [48][4020/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6535 (1.7752) Prec@1 63.281 (59.553) Prec@5 82.812 (81.193) Epoch: [48][4030/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6643 (1.7751) Prec@1 57.031 (59.553) Prec@5 80.469 (81.196) Epoch: [48][4040/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6902 (1.7750) Prec@1 61.719 (59.552) Prec@5 85.156 (81.196) Epoch: [48][4050/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6690 (1.7751) Prec@1 56.250 (59.555) Prec@5 84.375 (81.194) Epoch: [48][4060/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8740 (1.7750) Prec@1 58.594 (59.560) Prec@5 78.125 (81.194) Epoch: [48][4070/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6380 (1.7749) Prec@1 65.625 (59.564) Prec@5 82.031 (81.197) Epoch: [48][4080/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6062 (1.7748) Prec@1 64.062 (59.566) Prec@5 82.031 (81.197) Epoch: [48][4090/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8498 (1.7748) Prec@1 58.594 (59.564) Prec@5 78.906 (81.198) Epoch: [48][4100/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9026 (1.7749) Prec@1 56.250 (59.565) Prec@5 77.344 (81.197) Epoch: [48][4110/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.1127 (1.7749) Prec@1 53.125 (59.563) Prec@5 79.688 (81.198) Epoch: [48][4120/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8365 (1.7748) Prec@1 56.250 (59.569) Prec@5 81.250 (81.200) Epoch: [48][4130/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7319 (1.7746) Prec@1 60.938 (59.573) Prec@5 81.250 (81.202) Epoch: [48][4140/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.5522 (1.7746) Prec@1 67.188 (59.575) Prec@5 85.938 (81.205) Epoch: [48][4150/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8875 (1.7746) Prec@1 60.156 (59.573) Prec@5 82.031 (81.206) Epoch: [48][4160/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.7402 (1.7746) Prec@1 62.500 (59.575) Prec@5 80.469 (81.205) Epoch: [48][4170/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.8544 (1.7747) Prec@1 59.375 (59.572) Prec@5 78.906 (81.206) Epoch: [48][4180/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9061 (1.7749) Prec@1 57.812 (59.569) Prec@5 82.812 (81.206) Epoch: [48][4190/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8710 (1.7752) Prec@1 52.344 (59.561) Prec@5 82.031 (81.201) Epoch: [48][4200/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9280 (1.7753) Prec@1 53.906 (59.558) Prec@5 76.562 (81.197) Epoch: [48][4210/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5915 (1.7755) Prec@1 60.938 (59.556) Prec@5 80.469 (81.196) Epoch: [48][4220/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.5476 (1.7755) Prec@1 60.156 (59.555) Prec@5 83.594 (81.196) Epoch: [48][4230/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7070 (1.7755) Prec@1 61.719 (59.556) Prec@5 81.250 (81.197) Epoch: [48][4240/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.8408 (1.7757) Prec@1 60.938 (59.554) Prec@5 78.125 (81.195) Epoch: [48][4250/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6394 (1.7755) Prec@1 61.719 (59.556) Prec@5 82.031 (81.197) Epoch: [48][4260/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6780 (1.7758) Prec@1 60.156 (59.551) Prec@5 81.250 (81.192) Epoch: [48][4270/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8427 (1.7759) Prec@1 57.031 (59.548) Prec@5 78.906 (81.191) Epoch: [48][4280/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8308 (1.7759) Prec@1 55.469 (59.546) Prec@5 84.375 (81.193) Epoch: [48][4290/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5200 (1.7761) Prec@1 64.844 (59.539) Prec@5 84.375 (81.192) Epoch: [48][4300/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.4332 (1.7760) Prec@1 64.844 (59.538) Prec@5 85.938 (81.196) Epoch: [48][4310/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6520 (1.7759) Prec@1 60.156 (59.540) Prec@5 80.469 (81.197) Epoch: [48][4320/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8380 (1.7762) Prec@1 58.594 (59.536) Prec@5 82.031 (81.195) Epoch: [48][4330/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6883 (1.7761) Prec@1 64.062 (59.538) Prec@5 84.375 (81.199) Epoch: [48][4340/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6384 (1.7761) Prec@1 62.500 (59.538) Prec@5 83.594 (81.199) Epoch: [48][4350/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8457 (1.7762) Prec@1 54.688 (59.532) Prec@5 79.688 (81.198) Epoch: [48][4360/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.0219 (1.7764) Prec@1 57.812 (59.526) Prec@5 74.219 (81.196) Epoch: [48][4370/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.9479 (1.7763) Prec@1 58.594 (59.528) Prec@5 81.250 (81.196) Epoch: [48][4380/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.5978 (1.7763) Prec@1 69.531 (59.527) Prec@5 82.812 (81.194) Epoch: [48][4390/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.6053 (1.7765) Prec@1 61.719 (59.523) Prec@5 83.594 (81.194) Epoch: [48][4400/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6980 (1.7766) Prec@1 58.594 (59.524) Prec@5 82.812 (81.194) Epoch: [48][4410/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8989 (1.7766) Prec@1 62.500 (59.526) Prec@5 78.125 (81.195) Epoch: [48][4420/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7625 (1.7764) Prec@1 64.062 (59.529) Prec@5 81.250 (81.197) Epoch: [48][4430/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9602 (1.7764) Prec@1 57.812 (59.532) Prec@5 77.344 (81.199) Epoch: [48][4440/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.0030 (1.7763) Prec@1 53.125 (59.532) Prec@5 78.125 (81.201) Epoch: [48][4450/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7250 (1.7764) Prec@1 60.938 (59.533) Prec@5 84.375 (81.201) Epoch: [48][4460/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8732 (1.7767) Prec@1 57.812 (59.528) Prec@5 78.906 (81.196) Epoch: [48][4470/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.6034 (1.7766) Prec@1 60.938 (59.530) Prec@5 85.156 (81.198) Epoch: [48][4480/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6941 (1.7766) Prec@1 57.812 (59.530) Prec@5 87.500 (81.200) Epoch: [48][4490/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.8087 (1.7765) Prec@1 60.938 (59.528) Prec@5 82.812 (81.201) Epoch: [48][4500/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7499 (1.7765) Prec@1 53.906 (59.525) Prec@5 85.156 (81.201) Epoch: [48][4510/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7820 (1.7764) Prec@1 60.938 (59.526) Prec@5 78.125 (81.205) Epoch: [48][4520/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 2.0288 (1.7764) Prec@1 53.906 (59.527) Prec@5 74.219 (81.202) Epoch: [48][4530/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6761 (1.7765) Prec@1 57.812 (59.524) Prec@5 85.156 (81.199) Epoch: [48][4540/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7823 (1.7768) Prec@1 59.375 (59.519) Prec@5 78.906 (81.196) /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][4550/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6882 (1.7770) Prec@1 60.156 (59.515) Prec@5 80.469 (81.193) Epoch: [48][4560/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8747 (1.7770) Prec@1 56.250 (59.515) Prec@5 80.469 (81.194) Epoch: [48][4570/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8403 (1.7770) Prec@1 54.688 (59.515) Prec@5 80.469 (81.193) Epoch: [48][4580/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.5273 (1.7772) Prec@1 60.938 (59.511) Prec@5 86.719 (81.188) Epoch: [48][4590/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.4868 (1.7773) Prec@1 70.312 (59.510) Prec@5 85.156 (81.186) Epoch: [48][4600/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.5581 (1.7772) Prec@1 64.844 (59.510) Prec@5 82.812 (81.187) Epoch: [48][4610/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6684 (1.7775) Prec@1 55.469 (59.506) Prec@5 84.375 (81.186) Epoch: [48][4620/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.9311 (1.7772) Prec@1 60.938 (59.511) Prec@5 79.688 (81.193) Epoch: [48][4630/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.6052 (1.7771) Prec@1 56.250 (59.508) Prec@5 81.250 (81.192) Epoch: [48][4640/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8454 (1.7773) Prec@1 59.375 (59.504) Prec@5 78.906 (81.188) Epoch: [48][4650/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.9853 (1.7774) Prec@1 57.812 (59.504) Prec@5 75.000 (81.189) Epoch: [48][4660/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5247 (1.7775) Prec@1 65.625 (59.502) Prec@5 85.938 (81.185) Epoch: [48][4670/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6683 (1.7775) Prec@1 60.156 (59.500) Prec@5 83.594 (81.186) Epoch: [48][4680/10010] Time 0.319 (0.332) Data 0.003 (0.001) Loss 1.7106 (1.7775) Prec@1 63.281 (59.502) Prec@5 81.250 (81.187) Epoch: [48][4690/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.6457 (1.7775) Prec@1 61.719 (59.499) Prec@5 82.031 (81.187) Epoch: [48][4700/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9835 (1.7774) Prec@1 57.031 (59.497) Prec@5 79.688 (81.190) Epoch: [48][4710/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0162 (1.7773) Prec@1 57.031 (59.498) Prec@5 76.562 (81.191) Epoch: [48][4720/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9477 (1.7775) Prec@1 61.719 (59.498) Prec@5 75.000 (81.190) Epoch: [48][4730/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6867 (1.7774) Prec@1 60.156 (59.503) Prec@5 84.375 (81.193) Epoch: [48][4740/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6676 (1.7775) Prec@1 60.938 (59.499) Prec@5 83.594 (81.193) Epoch: [48][4750/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.4089 (1.7777) Prec@1 46.875 (59.496) Prec@5 61.719 (81.185) Epoch: [48][4760/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.6659 (1.7777) Prec@1 64.062 (59.497) Prec@5 85.156 (81.184) Epoch: [48][4770/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.5670 (1.7777) Prec@1 66.406 (59.496) Prec@5 86.719 (81.185) Epoch: [48][4780/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8788 (1.7774) Prec@1 57.031 (59.503) Prec@5 82.031 (81.188) Epoch: [48][4790/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6711 (1.7776) Prec@1 60.156 (59.500) Prec@5 84.375 (81.186) Epoch: [48][4800/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 2.0571 (1.7775) Prec@1 55.469 (59.503) Prec@5 73.438 (81.187) Epoch: [48][4810/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.4599 (1.7774) Prec@1 67.969 (59.509) Prec@5 85.938 (81.188) Epoch: [48][4820/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.4839 (1.7775) Prec@1 60.938 (59.507) Prec@5 83.594 (81.188) Epoch: [48][4830/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.6544 (1.7774) Prec@1 59.375 (59.509) Prec@5 82.031 (81.188) Epoch: [48][4840/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.4143 (1.7776) Prec@1 53.906 (59.507) Prec@5 69.531 (81.184) Epoch: [48][4850/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.0763 (1.7776) Prec@1 51.562 (59.509) Prec@5 75.000 (81.185) Epoch: [48][4860/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6270 (1.7776) Prec@1 60.156 (59.507) Prec@5 84.375 (81.188) Epoch: [48][4870/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8365 (1.7775) Prec@1 60.156 (59.506) Prec@5 79.688 (81.188) Epoch: [48][4880/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6114 (1.7777) Prec@1 62.500 (59.503) Prec@5 80.469 (81.185) Epoch: [48][4890/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7499 (1.7778) Prec@1 57.812 (59.501) Prec@5 84.375 (81.183) Epoch: [48][4900/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.0474 (1.7780) Prec@1 57.812 (59.494) Prec@5 78.125 (81.181) Epoch: [48][4910/10010] Time 0.314 (0.332) Data 0.000 (0.001) Loss 1.9523 (1.7779) Prec@1 61.719 (59.497) Prec@5 82.031 (81.182) Epoch: [48][4920/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7778 (1.7776) Prec@1 63.281 (59.504) Prec@5 78.906 (81.186) Epoch: [48][4930/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7978 (1.7777) Prec@1 64.062 (59.506) Prec@5 82.031 (81.186) Epoch: [48][4940/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6798 (1.7777) Prec@1 58.594 (59.503) Prec@5 82.031 (81.186) Epoch: [48][4950/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.6285 (1.7776) Prec@1 57.812 (59.503) Prec@5 83.594 (81.186) Epoch: [48][4960/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.9659 (1.7777) Prec@1 58.594 (59.501) Prec@5 81.250 (81.187) Epoch: [48][4970/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.5719 (1.7779) Prec@1 60.938 (59.495) Prec@5 82.031 (81.186) Epoch: [48][4980/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7860 (1.7781) Prec@1 57.031 (59.492) Prec@5 78.906 (81.182) Epoch: [48][4990/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7003 (1.7781) Prec@1 60.938 (59.490) Prec@5 82.031 (81.182) Epoch: [48][5000/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.1088 (1.7781) Prec@1 50.000 (59.487) Prec@5 76.562 (81.181) Epoch: [48][5010/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7405 (1.7780) Prec@1 63.281 (59.488) Prec@5 82.812 (81.182) Epoch: [48][5020/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.9275 (1.7780) Prec@1 57.812 (59.491) Prec@5 78.906 (81.183) Epoch: [48][5030/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8477 (1.7780) Prec@1 57.031 (59.493) Prec@5 81.250 (81.185) Epoch: [48][5040/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7416 (1.7779) Prec@1 60.938 (59.494) Prec@5 78.906 (81.186) Epoch: [48][5050/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7176 (1.7778) Prec@1 60.156 (59.493) Prec@5 82.812 (81.188) Epoch: [48][5060/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.0168 (1.7780) Prec@1 59.375 (59.492) Prec@5 80.469 (81.185) Epoch: [48][5070/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7804 (1.7780) Prec@1 61.719 (59.490) Prec@5 82.031 (81.184) Epoch: [48][5080/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9679 (1.7783) Prec@1 57.812 (59.484) Prec@5 77.344 (81.177) Epoch: [48][5090/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9254 (1.7785) Prec@1 57.812 (59.482) Prec@5 79.688 (81.176) Epoch: [48][5100/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7159 (1.7786) Prec@1 62.500 (59.476) Prec@5 81.250 (81.174) Epoch: [48][5110/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6552 (1.7785) Prec@1 64.844 (59.477) Prec@5 79.688 (81.174) Epoch: [48][5120/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6946 (1.7786) Prec@1 58.594 (59.477) Prec@5 82.812 (81.173) Epoch: [48][5130/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7949 (1.7786) Prec@1 64.062 (59.477) Prec@5 82.031 (81.172) Epoch: [48][5140/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.8519 (1.7784) Prec@1 60.938 (59.482) Prec@5 77.344 (81.175) Epoch: [48][5150/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.1156 (1.7784) Prec@1 52.344 (59.483) Prec@5 77.344 (81.175) Epoch: [48][5160/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5777 (1.7784) Prec@1 64.844 (59.482) Prec@5 85.156 (81.174) Epoch: [48][5170/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.5635 (1.7785) Prec@1 63.281 (59.481) Prec@5 83.594 (81.172) Epoch: [48][5180/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.8947 (1.7786) Prec@1 57.812 (59.482) Prec@5 78.906 (81.171) Epoch: [48][5190/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.6930 (1.7787) Prec@1 63.281 (59.482) Prec@5 82.031 (81.170) Epoch: [48][5200/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.5105 (1.7787) Prec@1 60.156 (59.481) Prec@5 85.938 (81.172) Epoch: [48][5210/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.0160 (1.7786) Prec@1 58.594 (59.483) Prec@5 75.781 (81.171) Epoch: [48][5220/10010] Time 0.339 (0.332) Data 0.003 (0.001) Loss 1.9197 (1.7785) Prec@1 58.594 (59.485) Prec@5 78.906 (81.172) Epoch: [48][5230/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.6817 (1.7786) Prec@1 55.469 (59.481) Prec@5 83.594 (81.170) Epoch: [48][5240/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.4647 (1.7787) Prec@1 60.156 (59.477) Prec@5 88.281 (81.167) Epoch: [48][5250/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6473 (1.7788) Prec@1 64.062 (59.477) Prec@5 82.031 (81.168) Epoch: [48][5260/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8558 (1.7790) Prec@1 55.469 (59.473) Prec@5 81.250 (81.163) Epoch: [48][5270/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7647 (1.7790) Prec@1 60.156 (59.471) Prec@5 82.031 (81.164) Epoch: [48][5280/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.0397 (1.7790) Prec@1 58.594 (59.470) Prec@5 79.688 (81.165) Epoch: [48][5290/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.7722 (1.7791) Prec@1 54.688 (59.469) Prec@5 82.031 (81.166) Epoch: [48][5300/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.7925 (1.7792) Prec@1 57.812 (59.465) Prec@5 80.469 (81.161) Epoch: [48][5310/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7898 (1.7792) Prec@1 61.719 (59.465) Prec@5 82.812 (81.161) Epoch: [48][5320/10010] Time 0.353 (0.332) Data 0.001 (0.001) Loss 1.8682 (1.7794) Prec@1 53.906 (59.463) Prec@5 79.688 (81.159) Epoch: [48][5330/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6919 (1.7794) Prec@1 65.625 (59.465) Prec@5 83.594 (81.159) Epoch: [48][5340/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8646 (1.7794) Prec@1 56.250 (59.467) Prec@5 82.812 (81.159) Epoch: [48][5350/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6706 (1.7795) Prec@1 64.062 (59.466) Prec@5 82.812 (81.156) Epoch: [48][5360/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.3688 (1.7795) Prec@1 67.188 (59.466) Prec@5 89.062 (81.158) Epoch: [48][5370/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7962 (1.7795) Prec@1 62.500 (59.471) Prec@5 79.688 (81.159) Epoch: [48][5380/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.7094 (1.7795) Prec@1 64.844 (59.475) Prec@5 80.469 (81.157) Epoch: [48][5390/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6729 (1.7796) Prec@1 63.281 (59.473) Prec@5 82.812 (81.156) Epoch: [48][5400/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7236 (1.7798) Prec@1 61.719 (59.470) Prec@5 80.469 (81.153) Epoch: [48][5410/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.4946 (1.7796) Prec@1 64.844 (59.472) Prec@5 87.500 (81.157) Epoch: [48][5420/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7794 (1.7796) Prec@1 61.719 (59.471) Prec@5 78.906 (81.157) Epoch: [48][5430/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6951 (1.7797) Prec@1 58.594 (59.469) Prec@5 82.812 (81.153) Epoch: [48][5440/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.7685 (1.7798) Prec@1 53.906 (59.465) Prec@5 82.031 (81.153) Epoch: [48][5450/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9905 (1.7797) Prec@1 58.594 (59.469) Prec@5 74.219 (81.153) Epoch: [48][5460/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8406 (1.7798) Prec@1 55.469 (59.465) Prec@5 82.812 (81.152) Epoch: [48][5470/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9184 (1.7798) Prec@1 61.719 (59.465) Prec@5 81.250 (81.152) Epoch: [48][5480/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.4862 (1.7797) Prec@1 71.094 (59.469) Prec@5 86.719 (81.153) Epoch: [48][5490/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6722 (1.7798) Prec@1 60.938 (59.467) Prec@5 84.375 (81.152) Epoch: [48][5500/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5741 (1.7797) Prec@1 64.844 (59.466) Prec@5 81.250 (81.155) Epoch: [48][5510/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.1162 (1.7798) Prec@1 57.031 (59.464) Prec@5 75.781 (81.154) Epoch: [48][5520/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8016 (1.7800) Prec@1 57.031 (59.460) Prec@5 83.594 (81.151) Epoch: [48][5530/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0587 (1.7802) Prec@1 55.469 (59.455) Prec@5 76.562 (81.148) Epoch: [48][5540/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7452 (1.7801) Prec@1 60.156 (59.456) Prec@5 81.250 (81.149) Epoch: [48][5550/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8605 (1.7801) Prec@1 57.031 (59.454) Prec@5 81.250 (81.151) Epoch: [48][5560/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7677 (1.7802) Prec@1 61.719 (59.454) Prec@5 80.469 (81.149) Epoch: [48][5570/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.9721 (1.7800) Prec@1 58.594 (59.455) Prec@5 79.688 (81.151) Epoch: [48][5580/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8550 (1.7800) Prec@1 57.031 (59.457) Prec@5 78.125 (81.149) Epoch: [48][5590/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7408 (1.7800) Prec@1 60.938 (59.458) Prec@5 79.688 (81.151) Epoch: [48][5600/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.5675 (1.7799) Prec@1 60.156 (59.458) Prec@5 84.375 (81.151) Epoch: [48][5610/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6596 (1.7799) Prec@1 59.375 (59.456) Prec@5 85.156 (81.151) Epoch: [48][5620/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6050 (1.7799) Prec@1 64.062 (59.456) Prec@5 85.156 (81.150) Epoch: [48][5630/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.3932 (1.7797) Prec@1 67.188 (59.459) Prec@5 87.500 (81.151) Epoch: [48][5640/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.7216 (1.7797) Prec@1 58.594 (59.458) Prec@5 84.375 (81.151) Epoch: [48][5650/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9541 (1.7797) Prec@1 57.031 (59.457) Prec@5 78.125 (81.151) Epoch: [48][5660/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7001 (1.7795) Prec@1 59.375 (59.460) Prec@5 83.594 (81.153) Epoch: [48][5670/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0324 (1.7795) Prec@1 53.906 (59.459) Prec@5 78.906 (81.154) Epoch: [48][5680/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8519 (1.7794) Prec@1 57.812 (59.462) Prec@5 80.469 (81.153) Epoch: [48][5690/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5833 (1.7793) Prec@1 60.938 (59.465) Prec@5 82.031 (81.156) Epoch: [48][5700/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0227 (1.7794) Prec@1 55.469 (59.468) Prec@5 78.906 (81.156) Epoch: [48][5710/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.9012 (1.7794) Prec@1 57.812 (59.464) Prec@5 77.344 (81.154) Epoch: [48][5720/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9408 (1.7794) Prec@1 55.469 (59.465) Prec@5 79.688 (81.153) Epoch: [48][5730/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.1201 (1.7795) Prec@1 53.906 (59.460) Prec@5 75.000 (81.153) Epoch: [48][5740/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.5468 (1.7796) Prec@1 67.188 (59.458) Prec@5 89.062 (81.153) Epoch: [48][5750/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.1958 (1.7798) Prec@1 49.219 (59.456) Prec@5 75.000 (81.148) Epoch: [48][5760/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6047 (1.7796) Prec@1 60.938 (59.456) Prec@5 88.281 (81.152) Epoch: [48][5770/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8316 (1.7797) Prec@1 53.906 (59.457) Prec@5 78.906 (81.151) Epoch: [48][5780/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.5055 (1.7794) Prec@1 67.969 (59.462) Prec@5 85.156 (81.154) Epoch: [48][5790/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.5853 (1.7793) Prec@1 67.969 (59.465) Prec@5 83.594 (81.154) Epoch: [48][5800/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6686 (1.7792) Prec@1 63.281 (59.467) Prec@5 78.906 (81.157) Epoch: [48][5810/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7965 (1.7792) Prec@1 57.812 (59.467) Prec@5 78.125 (81.155) Epoch: [48][5820/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.2099 (1.7794) Prec@1 53.906 (59.463) Prec@5 78.125 (81.152) Epoch: [48][5830/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9081 (1.7796) Prec@1 53.125 (59.459) Prec@5 81.250 (81.150) Epoch: [48][5840/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6466 (1.7796) Prec@1 57.031 (59.459) Prec@5 85.156 (81.151) Epoch: [48][5850/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6328 (1.7797) Prec@1 63.281 (59.459) Prec@5 84.375 (81.150) Epoch: [48][5860/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.0489 (1.7798) Prec@1 56.250 (59.457) Prec@5 80.469 (81.151) Epoch: [48][5870/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8733 (1.7799) Prec@1 60.156 (59.456) Prec@5 79.688 (81.150) Epoch: [48][5880/10010] Time 0.341 (0.332) Data 0.002 (0.001) Loss 1.8941 (1.7799) Prec@1 60.938 (59.456) Prec@5 82.812 (81.150) Epoch: [48][5890/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5915 (1.7798) Prec@1 61.719 (59.457) Prec@5 83.594 (81.152) Epoch: [48][5900/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6457 (1.7799) Prec@1 60.938 (59.457) Prec@5 81.250 (81.150) Epoch: [48][5910/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6647 (1.7798) Prec@1 55.469 (59.456) Prec@5 86.719 (81.152) Epoch: [48][5920/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7495 (1.7797) Prec@1 58.594 (59.457) Prec@5 80.469 (81.155) Epoch: [48][5930/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8037 (1.7797) Prec@1 60.156 (59.456) Prec@5 79.688 (81.155) Epoch: [48][5940/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9370 (1.7797) Prec@1 59.375 (59.456) Prec@5 76.562 (81.156) Epoch: [48][5950/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.8072 (1.7798) Prec@1 53.906 (59.452) Prec@5 77.344 (81.156) Epoch: [48][5960/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7190 (1.7799) Prec@1 56.250 (59.450) Prec@5 82.031 (81.154) Epoch: [48][5970/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7572 (1.7799) Prec@1 57.812 (59.447) Prec@5 82.031 (81.153) Epoch: [48][5980/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5046 (1.7799) Prec@1 69.531 (59.446) Prec@5 82.031 (81.150) Epoch: [48][5990/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9503 (1.7798) Prec@1 55.469 (59.448) Prec@5 78.906 (81.150) Epoch: [48][6000/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.8692 (1.7798) Prec@1 60.156 (59.444) Prec@5 76.562 (81.152) Epoch: [48][6010/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.9676 (1.7800) Prec@1 54.688 (59.442) Prec@5 78.125 (81.149) Epoch: [48][6020/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.9260 (1.7800) Prec@1 59.375 (59.440) Prec@5 77.344 (81.148) Epoch: [48][6030/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9159 (1.7800) Prec@1 60.156 (59.439) Prec@5 77.344 (81.146) Epoch: [48][6040/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8132 (1.7800) Prec@1 59.375 (59.440) Prec@5 78.125 (81.147) Epoch: [48][6050/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6132 (1.7800) Prec@1 63.281 (59.442) Prec@5 83.594 (81.146) Epoch: [48][6060/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7883 (1.7800) Prec@1 60.938 (59.441) Prec@5 78.906 (81.146) Epoch: [48][6070/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.1491 (1.7801) Prec@1 56.250 (59.441) Prec@5 76.562 (81.144) Epoch: [48][6080/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8055 (1.7801) Prec@1 60.938 (59.441) Prec@5 78.906 (81.145) Epoch: [48][6090/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7070 (1.7799) Prec@1 64.062 (59.443) Prec@5 85.156 (81.149) Epoch: [48][6100/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8480 (1.7799) Prec@1 58.594 (59.441) Prec@5 77.344 (81.148) Epoch: [48][6110/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7772 (1.7799) Prec@1 57.031 (59.445) Prec@5 82.031 (81.149) Epoch: [48][6120/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7946 (1.7798) Prec@1 57.031 (59.444) Prec@5 79.688 (81.152) Epoch: [48][6130/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9216 (1.7798) Prec@1 58.594 (59.443) Prec@5 79.688 (81.152) Epoch: [48][6140/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7304 (1.7799) Prec@1 57.812 (59.444) Prec@5 86.719 (81.153) Epoch: [48][6150/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8485 (1.7799) Prec@1 59.375 (59.444) Prec@5 81.250 (81.154) Epoch: [48][6160/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8568 (1.7801) Prec@1 55.469 (59.443) Prec@5 81.250 (81.153) /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][6170/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7385 (1.7802) Prec@1 57.812 (59.442) Prec@5 80.469 (81.151) Epoch: [48][6180/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7195 (1.7803) Prec@1 64.844 (59.442) Prec@5 80.469 (81.151) Epoch: [48][6190/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7886 (1.7803) Prec@1 53.906 (59.438) Prec@5 80.469 (81.150) Epoch: [48][6200/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6414 (1.7803) Prec@1 59.375 (59.438) Prec@5 82.031 (81.149) Epoch: [48][6210/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9038 (1.7803) Prec@1 57.031 (59.436) Prec@5 78.125 (81.149) Epoch: [48][6220/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.1724 (1.7804) Prec@1 51.562 (59.436) Prec@5 74.219 (81.148) Epoch: [48][6230/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.4830 (1.7803) Prec@1 64.844 (59.436) Prec@5 86.719 (81.151) Epoch: [48][6240/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9744 (1.7804) Prec@1 55.469 (59.433) Prec@5 78.125 (81.148) Epoch: [48][6250/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9029 (1.7805) Prec@1 53.906 (59.431) Prec@5 80.469 (81.147) Epoch: [48][6260/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8922 (1.7805) Prec@1 50.781 (59.430) Prec@5 79.688 (81.144) Epoch: [48][6270/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6194 (1.7807) Prec@1 65.625 (59.427) Prec@5 86.719 (81.142) Epoch: [48][6280/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0526 (1.7807) Prec@1 53.906 (59.426) Prec@5 77.344 (81.143) Epoch: [48][6290/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7725 (1.7808) Prec@1 64.062 (59.428) Prec@5 81.250 (81.140) Epoch: [48][6300/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7165 (1.7807) Prec@1 62.500 (59.427) Prec@5 80.469 (81.140) Epoch: [48][6310/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.6993 (1.7808) Prec@1 63.281 (59.426) Prec@5 84.375 (81.140) Epoch: [48][6320/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.6528 (1.7808) Prec@1 64.844 (59.428) Prec@5 82.812 (81.140) Epoch: [48][6330/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.4906 (1.7808) Prec@1 65.625 (59.426) Prec@5 89.844 (81.140) Epoch: [48][6340/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.3096 (1.7809) Prec@1 73.438 (59.426) Prec@5 87.500 (81.139) Epoch: [48][6350/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7255 (1.7812) Prec@1 54.688 (59.420) Prec@5 82.812 (81.135) Epoch: [48][6360/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6673 (1.7812) Prec@1 65.625 (59.424) Prec@5 81.250 (81.135) Epoch: [48][6370/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7474 (1.7810) Prec@1 57.812 (59.428) Prec@5 80.469 (81.139) Epoch: [48][6380/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8558 (1.7810) Prec@1 60.156 (59.427) Prec@5 79.688 (81.138) Epoch: [48][6390/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.3783 (1.7809) Prec@1 64.062 (59.428) Prec@5 87.500 (81.140) Epoch: [48][6400/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7987 (1.7810) Prec@1 60.938 (59.426) Prec@5 80.469 (81.138) Epoch: [48][6410/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6869 (1.7810) Prec@1 59.375 (59.422) Prec@5 79.688 (81.136) Epoch: [48][6420/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.1425 (1.7811) Prec@1 50.781 (59.419) Prec@5 71.875 (81.135) Epoch: [48][6430/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7939 (1.7812) Prec@1 59.375 (59.417) Prec@5 81.250 (81.133) Epoch: [48][6440/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 2.0414 (1.7813) Prec@1 53.125 (59.413) Prec@5 78.125 (81.130) Epoch: [48][6450/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 2.0791 (1.7815) Prec@1 57.812 (59.414) Prec@5 76.562 (81.127) Epoch: [48][6460/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6732 (1.7815) Prec@1 58.594 (59.414) Prec@5 85.156 (81.126) Epoch: [48][6470/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8425 (1.7815) Prec@1 59.375 (59.414) Prec@5 81.250 (81.126) Epoch: [48][6480/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7936 (1.7815) Prec@1 58.594 (59.415) Prec@5 80.469 (81.124) Epoch: [48][6490/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8681 (1.7815) Prec@1 58.594 (59.414) Prec@5 79.688 (81.124) Epoch: [48][6500/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5796 (1.7814) Prec@1 60.938 (59.418) Prec@5 84.375 (81.126) Epoch: [48][6510/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7786 (1.7813) Prec@1 60.938 (59.420) Prec@5 82.812 (81.129) Epoch: [48][6520/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.6807 (1.7815) Prec@1 59.375 (59.418) Prec@5 82.812 (81.124) Epoch: [48][6530/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.8246 (1.7815) Prec@1 57.031 (59.417) Prec@5 79.688 (81.123) Epoch: [48][6540/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.4401 (1.7814) Prec@1 61.719 (59.418) Prec@5 86.719 (81.124) Epoch: [48][6550/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.1396 (1.7814) Prec@1 50.781 (59.418) Prec@5 74.219 (81.127) Epoch: [48][6560/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5250 (1.7814) Prec@1 63.281 (59.419) Prec@5 84.375 (81.127) Epoch: [48][6570/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.4544 (1.7813) Prec@1 60.156 (59.419) Prec@5 85.156 (81.128) Epoch: [48][6580/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8990 (1.7813) Prec@1 56.250 (59.419) Prec@5 78.125 (81.127) Epoch: [48][6590/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7112 (1.7811) Prec@1 61.719 (59.423) Prec@5 84.375 (81.131) Epoch: [48][6600/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7991 (1.7812) Prec@1 57.812 (59.420) Prec@5 79.688 (81.129) Epoch: [48][6610/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8486 (1.7812) Prec@1 60.156 (59.421) Prec@5 78.906 (81.128) Epoch: [48][6620/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6652 (1.7811) Prec@1 58.594 (59.421) Prec@5 82.812 (81.129) Epoch: [48][6630/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9108 (1.7811) Prec@1 60.156 (59.422) Prec@5 77.344 (81.129) Epoch: [48][6640/10010] Time 0.315 (0.332) Data 0.001 (0.001) Loss 1.9934 (1.7810) Prec@1 54.688 (59.424) Prec@5 79.688 (81.129) Epoch: [48][6650/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.6532 (1.7811) Prec@1 63.281 (59.423) Prec@5 82.812 (81.130) Epoch: [48][6660/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.3528 (1.7810) Prec@1 68.750 (59.423) Prec@5 89.062 (81.132) Epoch: [48][6670/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8440 (1.7811) Prec@1 58.594 (59.421) Prec@5 78.906 (81.131) Epoch: [48][6680/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5838 (1.7811) Prec@1 60.156 (59.421) Prec@5 85.938 (81.130) Epoch: [48][6690/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.2332 (1.7810) Prec@1 68.750 (59.423) Prec@5 90.625 (81.134) Epoch: [48][6700/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8896 (1.7809) Prec@1 48.438 (59.422) Prec@5 79.688 (81.135) Epoch: [48][6710/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7644 (1.7809) Prec@1 60.938 (59.422) Prec@5 80.469 (81.136) Epoch: [48][6720/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7948 (1.7809) Prec@1 61.719 (59.424) Prec@5 79.688 (81.135) Epoch: [48][6730/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8574 (1.7809) Prec@1 53.906 (59.425) Prec@5 78.906 (81.136) Epoch: [48][6740/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.7964 (1.7808) Prec@1 62.500 (59.425) Prec@5 82.812 (81.137) Epoch: [48][6750/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9626 (1.7809) Prec@1 57.031 (59.424) Prec@5 75.781 (81.136) Epoch: [48][6760/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6355 (1.7807) Prec@1 61.719 (59.429) Prec@5 82.812 (81.137) Epoch: [48][6770/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8832 (1.7808) Prec@1 56.250 (59.428) Prec@5 78.125 (81.135) Epoch: [48][6780/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.4999 (1.7808) Prec@1 68.750 (59.431) Prec@5 82.031 (81.135) Epoch: [48][6790/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6416 (1.7808) Prec@1 64.844 (59.428) Prec@5 82.812 (81.133) Epoch: [48][6800/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6757 (1.7810) Prec@1 62.500 (59.428) Prec@5 81.250 (81.130) Epoch: [48][6810/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7285 (1.7808) Prec@1 60.938 (59.431) Prec@5 80.469 (81.132) Epoch: [48][6820/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8437 (1.7810) Prec@1 64.844 (59.428) Prec@5 80.469 (81.130) Epoch: [48][6830/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8002 (1.7808) Prec@1 58.594 (59.432) Prec@5 79.688 (81.132) Epoch: [48][6840/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.5635 (1.7808) Prec@1 66.406 (59.432) Prec@5 83.594 (81.133) Epoch: [48][6850/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8038 (1.7808) Prec@1 65.625 (59.433) Prec@5 78.906 (81.134) Epoch: [48][6860/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9817 (1.7808) Prec@1 56.250 (59.434) Prec@5 82.031 (81.135) Epoch: [48][6870/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.8181 (1.7809) Prec@1 57.812 (59.430) Prec@5 78.906 (81.133) Epoch: [48][6880/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7981 (1.7808) Prec@1 57.031 (59.431) Prec@5 78.906 (81.132) Epoch: [48][6890/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.7217 (1.7809) Prec@1 60.938 (59.428) Prec@5 81.250 (81.132) Epoch: [48][6900/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6071 (1.7809) Prec@1 62.500 (59.426) Prec@5 82.812 (81.132) Epoch: [48][6910/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.9309 (1.7807) Prec@1 53.125 (59.428) Prec@5 78.125 (81.135) Epoch: [48][6920/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.5947 (1.7806) Prec@1 64.062 (59.428) Prec@5 83.594 (81.135) Epoch: [48][6930/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6748 (1.7806) Prec@1 61.719 (59.430) Prec@5 82.031 (81.137) Epoch: [48][6940/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.8306 (1.7805) Prec@1 60.156 (59.432) Prec@5 82.031 (81.139) Epoch: [48][6950/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7738 (1.7806) Prec@1 60.938 (59.432) Prec@5 81.250 (81.139) Epoch: [48][6960/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.6858 (1.7808) Prec@1 60.156 (59.429) Prec@5 82.031 (81.137) Epoch: [48][6970/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8951 (1.7808) Prec@1 57.812 (59.428) Prec@5 82.812 (81.136) Epoch: [48][6980/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7174 (1.7808) Prec@1 58.594 (59.428) Prec@5 78.125 (81.136) Epoch: [48][6990/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8404 (1.7809) Prec@1 59.375 (59.428) Prec@5 79.688 (81.134) Epoch: [48][7000/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7262 (1.7810) Prec@1 62.500 (59.426) Prec@5 81.250 (81.133) Epoch: [48][7010/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7909 (1.7812) Prec@1 61.719 (59.425) Prec@5 82.812 (81.133) Epoch: [48][7020/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8260 (1.7812) Prec@1 56.250 (59.426) Prec@5 83.594 (81.133) Epoch: [48][7030/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7232 (1.7812) Prec@1 54.688 (59.424) Prec@5 85.156 (81.134) Epoch: [48][7040/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0009 (1.7813) Prec@1 50.781 (59.423) Prec@5 75.000 (81.132) Epoch: [48][7050/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8631 (1.7814) Prec@1 50.781 (59.420) Prec@5 83.594 (81.131) Epoch: [48][7060/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9156 (1.7814) Prec@1 59.375 (59.420) Prec@5 81.250 (81.132) Epoch: [48][7070/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.5385 (1.7813) Prec@1 64.844 (59.421) Prec@5 82.812 (81.133) Epoch: [48][7080/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.3944 (1.7814) Prec@1 66.406 (59.421) Prec@5 87.500 (81.131) Epoch: [48][7090/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8146 (1.7814) Prec@1 60.938 (59.424) Prec@5 78.125 (81.130) Epoch: [48][7100/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9666 (1.7815) Prec@1 53.906 (59.420) Prec@5 78.906 (81.127) Epoch: [48][7110/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8223 (1.7815) Prec@1 60.156 (59.417) Prec@5 79.688 (81.127) Epoch: [48][7120/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6836 (1.7816) Prec@1 62.500 (59.414) Prec@5 80.469 (81.124) Epoch: [48][7130/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7253 (1.7816) Prec@1 64.062 (59.418) Prec@5 81.250 (81.124) Epoch: [48][7140/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.0236 (1.7816) Prec@1 63.281 (59.419) Prec@5 78.906 (81.123) Epoch: [48][7150/10010] Time 0.317 (0.332) Data 0.000 (0.001) Loss 2.0349 (1.7816) Prec@1 56.250 (59.420) Prec@5 79.688 (81.122) Epoch: [48][7160/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6906 (1.7817) Prec@1 67.969 (59.420) Prec@5 85.156 (81.123) Epoch: [48][7170/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.0516 (1.7818) Prec@1 53.906 (59.418) Prec@5 73.438 (81.120) Epoch: [48][7180/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.4695 (1.7817) Prec@1 64.844 (59.421) Prec@5 87.500 (81.121) Epoch: [48][7190/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7840 (1.7817) Prec@1 54.688 (59.421) Prec@5 83.594 (81.123) Epoch: [48][7200/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.0641 (1.7816) Prec@1 54.688 (59.420) Prec@5 75.781 (81.124) Epoch: [48][7210/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.7385 (1.7815) Prec@1 63.281 (59.423) Prec@5 82.031 (81.126) Epoch: [48][7220/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6697 (1.7816) Prec@1 57.031 (59.423) Prec@5 84.375 (81.126) Epoch: [48][7230/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.9304 (1.7815) Prec@1 58.594 (59.425) Prec@5 82.812 (81.126) Epoch: [48][7240/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9763 (1.7815) Prec@1 60.938 (59.427) Prec@5 78.125 (81.127) Epoch: [48][7250/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7212 (1.7814) Prec@1 56.250 (59.429) Prec@5 82.812 (81.129) Epoch: [48][7260/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7131 (1.7814) Prec@1 59.375 (59.429) Prec@5 82.812 (81.129) Epoch: [48][7270/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7310 (1.7814) Prec@1 59.375 (59.430) Prec@5 83.594 (81.127) Epoch: [48][7280/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8059 (1.7816) Prec@1 57.812 (59.427) Prec@5 79.688 (81.124) Epoch: [48][7290/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8873 (1.7816) Prec@1 58.594 (59.426) Prec@5 77.344 (81.124) Epoch: [48][7300/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 2.0090 (1.7817) Prec@1 57.031 (59.424) Prec@5 78.125 (81.121) Epoch: [48][7310/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8207 (1.7817) Prec@1 60.156 (59.424) Prec@5 81.250 (81.122) Epoch: [48][7320/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.4392 (1.7816) Prec@1 65.625 (59.426) Prec@5 91.406 (81.124) Epoch: [48][7330/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.4448 (1.7816) Prec@1 66.406 (59.427) Prec@5 84.375 (81.124) Epoch: [48][7340/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9265 (1.7817) Prec@1 60.938 (59.426) Prec@5 81.250 (81.124) Epoch: [48][7350/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.0467 (1.7817) Prec@1 56.250 (59.428) Prec@5 76.562 (81.124) Epoch: [48][7360/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6361 (1.7816) Prec@1 57.812 (59.428) Prec@5 82.812 (81.124) Epoch: [48][7370/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.5904 (1.7816) Prec@1 60.938 (59.427) Prec@5 83.594 (81.124) Epoch: [48][7380/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9543 (1.7817) Prec@1 55.469 (59.424) Prec@5 78.906 (81.125) Epoch: [48][7390/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8256 (1.7816) Prec@1 59.375 (59.424) Prec@5 80.469 (81.125) Epoch: [48][7400/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 2.0041 (1.7818) Prec@1 53.906 (59.422) Prec@5 76.562 (81.124) Epoch: [48][7410/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7324 (1.7817) Prec@1 55.469 (59.422) Prec@5 82.031 (81.124) Epoch: [48][7420/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7707 (1.7816) Prec@1 54.688 (59.422) Prec@5 78.906 (81.124) Epoch: [48][7430/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6063 (1.7814) Prec@1 64.062 (59.425) Prec@5 87.500 (81.128) Epoch: [48][7440/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.4322 (1.7815) Prec@1 66.406 (59.422) Prec@5 84.375 (81.126) Epoch: [48][7450/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.5685 (1.7816) Prec@1 63.281 (59.421) Prec@5 81.250 (81.125) Epoch: [48][7460/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9935 (1.7818) Prec@1 52.344 (59.416) Prec@5 76.562 (81.123) Epoch: [48][7470/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.4983 (1.7817) Prec@1 64.844 (59.416) Prec@5 85.938 (81.123) Epoch: [48][7480/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6786 (1.7818) Prec@1 60.156 (59.413) Prec@5 80.469 (81.121) Epoch: [48][7490/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7425 (1.7819) Prec@1 56.250 (59.412) Prec@5 82.031 (81.119) Epoch: [48][7500/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6129 (1.7818) Prec@1 64.062 (59.412) Prec@5 82.031 (81.119) Epoch: [48][7510/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7101 (1.7819) Prec@1 58.594 (59.410) Prec@5 81.250 (81.117) Epoch: [48][7520/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7245 (1.7820) Prec@1 61.719 (59.409) Prec@5 79.688 (81.115) Epoch: [48][7530/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.5714 (1.7820) Prec@1 67.188 (59.409) Prec@5 84.375 (81.116) Epoch: [48][7540/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.5032 (1.7819) Prec@1 65.625 (59.411) Prec@5 81.250 (81.115) Epoch: [48][7550/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7161 (1.7819) Prec@1 62.500 (59.411) Prec@5 80.469 (81.115) Epoch: [48][7560/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7350 (1.7818) Prec@1 62.500 (59.418) Prec@5 79.688 (81.116) Epoch: [48][7570/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5633 (1.7818) Prec@1 64.062 (59.419) Prec@5 86.719 (81.117) Epoch: [48][7580/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.1476 (1.7817) Prec@1 51.562 (59.419) Prec@5 70.312 (81.117) Epoch: [48][7590/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7311 (1.7817) Prec@1 60.156 (59.419) Prec@5 82.031 (81.117) Epoch: [48][7600/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.4142 (1.7817) Prec@1 71.875 (59.419) Prec@5 87.500 (81.117) Epoch: [48][7610/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 2.1085 (1.7818) Prec@1 52.344 (59.419) Prec@5 78.125 (81.117) Epoch: [48][7620/10010] Time 0.327 (0.332) Data 0.002 (0.001) Loss 1.5711 (1.7817) Prec@1 64.844 (59.420) Prec@5 83.594 (81.118) Epoch: [48][7630/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7583 (1.7816) Prec@1 63.281 (59.424) Prec@5 80.469 (81.120) Epoch: [48][7640/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6286 (1.7817) Prec@1 60.156 (59.423) Prec@5 83.594 (81.119) Epoch: [48][7650/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.7339 (1.7816) Prec@1 58.594 (59.424) Prec@5 83.594 (81.119) Epoch: [48][7660/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.9855 (1.7818) Prec@1 55.469 (59.422) Prec@5 78.125 (81.117) Epoch: [48][7670/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7307 (1.7818) Prec@1 57.812 (59.422) Prec@5 81.250 (81.119) Epoch: [48][7680/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.0045 (1.7819) Prec@1 56.250 (59.420) Prec@5 74.219 (81.116) Epoch: [48][7690/10010] Time 0.350 (0.332) Data 0.000 (0.001) Loss 1.4630 (1.7818) Prec@1 60.156 (59.420) Prec@5 85.938 (81.119) Epoch: [48][7700/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.3708 (1.7819) Prec@1 48.438 (59.419) Prec@5 67.188 (81.116) Epoch: [48][7710/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9202 (1.7820) Prec@1 57.812 (59.418) Prec@5 82.031 (81.117) Epoch: [48][7720/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7673 (1.7821) Prec@1 60.156 (59.415) Prec@5 81.250 (81.113) Epoch: [48][7730/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.0466 (1.7821) Prec@1 55.469 (59.416) Prec@5 76.562 (81.113) Epoch: [48][7740/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9564 (1.7821) Prec@1 57.031 (59.415) Prec@5 83.594 (81.113) Epoch: [48][7750/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6396 (1.7820) Prec@1 60.156 (59.417) Prec@5 80.469 (81.116) Epoch: [48][7760/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7336 (1.7821) Prec@1 58.594 (59.414) Prec@5 81.250 (81.114) Epoch: [48][7770/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7512 (1.7822) Prec@1 55.469 (59.410) Prec@5 84.375 (81.113) Epoch: [48][7780/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8651 (1.7823) Prec@1 57.031 (59.409) Prec@5 78.906 (81.112) Epoch: [48][7790/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6246 (1.7823) Prec@1 64.062 (59.405) Prec@5 82.812 (81.111) Epoch: [48][7800/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.7448 (1.7824) Prec@1 62.500 (59.405) Prec@5 80.469 (81.111) Epoch: [48][7810/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.8731 (1.7823) Prec@1 60.938 (59.408) Prec@5 82.031 (81.111) Epoch: [48][7820/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5992 (1.7824) Prec@1 64.844 (59.406) Prec@5 81.250 (81.109) Epoch: [48][7830/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6084 (1.7824) Prec@1 59.375 (59.407) Prec@5 86.719 (81.110) Epoch: [48][7840/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.8998 (1.7824) Prec@1 59.375 (59.407) Prec@5 78.125 (81.111) Epoch: [48][7850/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.3847 (1.7823) Prec@1 63.281 (59.409) Prec@5 85.938 (81.111) Epoch: [48][7860/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6412 (1.7823) Prec@1 63.281 (59.411) Prec@5 81.250 (81.111) Epoch: [48][7870/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6756 (1.7822) Prec@1 64.844 (59.415) Prec@5 85.156 (81.114) Epoch: [48][7880/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7354 (1.7822) Prec@1 60.156 (59.415) Prec@5 83.594 (81.114) Epoch: [48][7890/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9052 (1.7822) Prec@1 61.719 (59.416) Prec@5 81.250 (81.115) Epoch: [48][7900/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6618 (1.7822) Prec@1 64.062 (59.417) Prec@5 84.375 (81.116) Epoch: [48][7910/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.5651 (1.7821) Prec@1 61.719 (59.417) Prec@5 85.938 (81.119) Epoch: [48][7920/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.1267 (1.7820) Prec@1 53.906 (59.418) Prec@5 76.562 (81.121) Epoch: [48][7930/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5563 (1.7820) Prec@1 60.156 (59.419) Prec@5 85.156 (81.123) Epoch: [48][7940/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7821 (1.7819) Prec@1 60.156 (59.419) Prec@5 79.688 (81.123) Epoch: [48][7950/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.2179 (1.7821) Prec@1 54.688 (59.417) Prec@5 76.562 (81.122) Epoch: [48][7960/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8541 (1.7821) Prec@1 54.688 (59.416) Prec@5 80.469 (81.121) Epoch: [48][7970/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9215 (1.7820) Prec@1 61.719 (59.417) Prec@5 80.469 (81.122) Epoch: [48][7980/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.8085 (1.7819) Prec@1 56.250 (59.419) Prec@5 76.562 (81.123) Epoch: [48][7990/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9941 (1.7819) Prec@1 55.469 (59.418) Prec@5 72.656 (81.121) Epoch: [48][8000/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8715 (1.7820) Prec@1 56.250 (59.417) Prec@5 78.906 (81.121) Epoch: [48][8010/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7077 (1.7820) Prec@1 60.156 (59.416) Prec@5 82.031 (81.121) Epoch: [48][8020/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0345 (1.7821) Prec@1 56.250 (59.415) Prec@5 78.125 (81.120) Epoch: [48][8030/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.7570 (1.7820) Prec@1 57.812 (59.417) Prec@5 83.594 (81.121) Epoch: [48][8040/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7594 (1.7820) Prec@1 57.812 (59.418) Prec@5 84.375 (81.122) Epoch: [48][8050/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.6959 (1.7820) Prec@1 64.844 (59.420) Prec@5 80.469 (81.122) Epoch: [48][8060/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8411 (1.7819) Prec@1 57.031 (59.420) Prec@5 83.594 (81.123) Epoch: [48][8070/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.7451 (1.7819) Prec@1 59.375 (59.420) Prec@5 79.688 (81.124) Epoch: [48][8080/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7245 (1.7818) Prec@1 57.812 (59.420) Prec@5 83.594 (81.126) Epoch: [48][8090/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7793 (1.7818) Prec@1 61.719 (59.423) Prec@5 80.469 (81.125) Epoch: [48][8100/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.8983 (1.7818) Prec@1 57.031 (59.422) Prec@5 79.688 (81.125) Epoch: [48][8110/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8408 (1.7818) Prec@1 55.469 (59.420) Prec@5 81.250 (81.124) Epoch: [48][8120/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.9725 (1.7818) Prec@1 60.938 (59.423) Prec@5 77.344 (81.126) Epoch: [48][8130/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.2012 (1.7818) Prec@1 53.125 (59.422) Prec@5 76.562 (81.125) Epoch: [48][8140/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6546 (1.7819) Prec@1 62.500 (59.422) Prec@5 82.031 (81.124) Epoch: [48][8150/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.9154 (1.7819) Prec@1 54.688 (59.421) Prec@5 80.469 (81.124) Epoch: [48][8160/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7616 (1.7820) Prec@1 58.594 (59.420) Prec@5 83.594 (81.122) Epoch: [48][8170/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9816 (1.7819) Prec@1 55.469 (59.422) Prec@5 80.469 (81.123) Epoch: [48][8180/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.9456 (1.7820) Prec@1 55.469 (59.421) Prec@5 77.344 (81.122) Epoch: [48][8190/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8930 (1.7821) Prec@1 58.594 (59.418) Prec@5 80.469 (81.120) Epoch: [48][8200/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.8371 (1.7820) Prec@1 57.031 (59.419) Prec@5 82.031 (81.123) Epoch: [48][8210/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7074 (1.7820) Prec@1 60.938 (59.419) Prec@5 81.250 (81.122) Epoch: [48][8220/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 2.1514 (1.7820) Prec@1 48.438 (59.420) Prec@5 77.344 (81.123) Epoch: [48][8230/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9425 (1.7820) Prec@1 58.594 (59.420) Prec@5 81.250 (81.123) Epoch: [48][8240/10010] Time 0.351 (0.332) Data 0.001 (0.001) Loss 1.9770 (1.7820) Prec@1 59.375 (59.421) Prec@5 82.812 (81.122) Epoch: [48][8250/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.3870 (1.7819) Prec@1 71.094 (59.423) Prec@5 84.375 (81.124) Epoch: [48][8260/10010] Time 0.324 (0.332) Data 0.002 (0.001) Loss 1.8858 (1.7819) Prec@1 60.156 (59.424) Prec@5 77.344 (81.123) Epoch: [48][8270/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7326 (1.7820) Prec@1 57.812 (59.421) Prec@5 78.906 (81.121) Epoch: [48][8280/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7517 (1.7820) Prec@1 60.156 (59.423) Prec@5 85.156 (81.122) Epoch: [48][8290/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5864 (1.7819) Prec@1 60.938 (59.424) Prec@5 80.469 (81.124) Epoch: [48][8300/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7931 (1.7819) Prec@1 60.156 (59.424) Prec@5 78.906 (81.125) Epoch: [48][8310/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7731 (1.7818) Prec@1 61.719 (59.427) Prec@5 78.906 (81.125) Epoch: [48][8320/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8123 (1.7818) Prec@1 62.500 (59.428) Prec@5 81.250 (81.127) Epoch: [48][8330/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9899 (1.7819) Prec@1 55.469 (59.425) Prec@5 76.562 (81.124) Epoch: [48][8340/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9729 (1.7819) Prec@1 58.594 (59.424) Prec@5 77.344 (81.124) Epoch: [48][8350/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.0986 (1.7820) Prec@1 52.344 (59.423) Prec@5 75.000 (81.124) Epoch: [48][8360/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8391 (1.7819) Prec@1 59.375 (59.424) Prec@5 80.469 (81.124) Epoch: [48][8370/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9806 (1.7819) Prec@1 49.219 (59.425) Prec@5 79.688 (81.124) Epoch: [48][8380/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.1520 (1.7819) Prec@1 52.344 (59.423) Prec@5 75.000 (81.124) Epoch: [48][8390/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0067 (1.7820) Prec@1 53.906 (59.423) Prec@5 81.250 (81.124) Epoch: [48][8400/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.9442 (1.7819) Prec@1 56.250 (59.426) Prec@5 74.219 (81.124) Epoch: [48][8410/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9691 (1.7819) Prec@1 54.688 (59.424) Prec@5 76.562 (81.124) Epoch: [48][8420/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.9474 (1.7820) Prec@1 52.344 (59.422) Prec@5 78.125 (81.123) Epoch: [48][8430/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.9325 (1.7821) Prec@1 58.594 (59.421) Prec@5 83.594 (81.123) Epoch: [48][8440/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7158 (1.7821) Prec@1 59.375 (59.420) Prec@5 84.375 (81.123) Epoch: [48][8450/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9573 (1.7822) Prec@1 59.375 (59.418) Prec@5 75.781 (81.121) Epoch: [48][8460/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.7686 (1.7824) Prec@1 59.375 (59.414) Prec@5 79.688 (81.119) Epoch: [48][8470/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.6658 (1.7824) Prec@1 60.938 (59.413) Prec@5 84.375 (81.119) Epoch: [48][8480/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8568 (1.7824) Prec@1 56.250 (59.412) Prec@5 81.250 (81.120) Epoch: [48][8490/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.7065 (1.7824) Prec@1 63.281 (59.412) Prec@5 81.250 (81.121) Epoch: [48][8500/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8626 (1.7824) Prec@1 60.938 (59.412) Prec@5 77.344 (81.118) Epoch: [48][8510/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7564 (1.7825) Prec@1 60.938 (59.410) Prec@5 82.812 (81.117) Epoch: [48][8520/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5655 (1.7826) Prec@1 59.375 (59.408) Prec@5 87.500 (81.115) Epoch: [48][8530/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.4642 (1.7825) Prec@1 64.062 (59.407) Prec@5 87.500 (81.118) Epoch: [48][8540/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.9373 (1.7825) Prec@1 57.031 (59.408) Prec@5 82.812 (81.118) Epoch: [48][8550/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.6212 (1.7825) Prec@1 64.062 (59.408) Prec@5 85.156 (81.118) Epoch: [48][8560/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.7133 (1.7826) Prec@1 62.500 (59.407) Prec@5 81.250 (81.115) Epoch: [48][8570/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.9947 (1.7827) Prec@1 54.688 (59.404) Prec@5 75.781 (81.114) Epoch: [48][8580/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8247 (1.7827) Prec@1 55.469 (59.403) Prec@5 80.469 (81.115) Epoch: [48][8590/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8913 (1.7827) Prec@1 57.031 (59.402) Prec@5 76.562 (81.113) Epoch: [48][8600/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.4729 (1.7827) Prec@1 69.531 (59.404) Prec@5 85.938 (81.114) Epoch: [48][8610/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.3559 (1.7828) Prec@1 68.750 (59.405) Prec@5 85.156 (81.113) Epoch: [48][8620/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9653 (1.7829) Prec@1 54.688 (59.404) Prec@5 76.562 (81.112) Epoch: [48][8630/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 2.0745 (1.7829) Prec@1 55.469 (59.403) Prec@5 76.562 (81.112) Epoch: [48][8640/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.9474 (1.7830) Prec@1 59.375 (59.401) Prec@5 81.250 (81.110) Epoch: [48][8650/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5498 (1.7830) Prec@1 65.625 (59.400) Prec@5 86.719 (81.112) Epoch: [48][8660/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.0016 (1.7830) Prec@1 57.812 (59.401) Prec@5 74.219 (81.111) Epoch: [48][8670/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9571 (1.7830) Prec@1 52.344 (59.400) Prec@5 81.250 (81.112) Epoch: [48][8680/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.8899 (1.7831) Prec@1 58.594 (59.397) Prec@5 77.344 (81.112) Epoch: [48][8690/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.9335 (1.7833) Prec@1 53.125 (59.392) Prec@5 75.000 (81.110) Epoch: [48][8700/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 2.0089 (1.7833) Prec@1 53.906 (59.392) Prec@5 76.562 (81.110) Epoch: [48][8710/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0617 (1.7834) Prec@1 53.125 (59.390) Prec@5 73.438 (81.109) Epoch: [48][8720/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 2.2971 (1.7835) Prec@1 53.906 (59.391) Prec@5 74.219 (81.107) Epoch: [48][8730/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.5342 (1.7835) Prec@1 64.062 (59.391) Prec@5 85.938 (81.108) Epoch: [48][8740/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9255 (1.7835) Prec@1 59.375 (59.392) Prec@5 78.906 (81.108) Epoch: [48][8750/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8958 (1.7835) Prec@1 62.500 (59.391) Prec@5 75.781 (81.106) Epoch: [48][8760/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.8739 (1.7835) Prec@1 57.812 (59.390) Prec@5 80.469 (81.106) Epoch: [48][8770/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6093 (1.7836) Prec@1 60.156 (59.387) Prec@5 87.500 (81.105) Epoch: [48][8780/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.9232 (1.7837) Prec@1 60.156 (59.385) Prec@5 77.344 (81.104) Epoch: [48][8790/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.6930 (1.7837) Prec@1 56.250 (59.384) Prec@5 84.375 (81.104) Epoch: [48][8800/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6377 (1.7836) Prec@1 60.938 (59.388) Prec@5 82.031 (81.105) Epoch: [48][8810/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7879 (1.7836) Prec@1 66.406 (59.389) Prec@5 79.688 (81.104) Epoch: [48][8820/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.5726 (1.7834) Prec@1 64.844 (59.392) Prec@5 84.375 (81.107) Epoch: [48][8830/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.9589 (1.7835) Prec@1 59.375 (59.392) Prec@5 77.344 (81.107) Epoch: [48][8840/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0484 (1.7835) Prec@1 53.906 (59.392) Prec@5 80.469 (81.106) Epoch: [48][8850/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.5048 (1.7834) Prec@1 57.812 (59.393) Prec@5 86.719 (81.108) Epoch: [48][8860/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.5623 (1.7835) Prec@1 61.719 (59.392) Prec@5 83.594 (81.106) Epoch: [48][8870/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.7359 (1.7836) Prec@1 58.594 (59.389) Prec@5 85.156 (81.105) Epoch: [48][8880/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.1042 (1.7837) Prec@1 51.562 (59.385) Prec@5 79.688 (81.103) Epoch: [48][8890/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.0671 (1.7838) Prec@1 57.812 (59.384) Prec@5 75.781 (81.101) Epoch: [48][8900/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0473 (1.7839) Prec@1 53.125 (59.382) Prec@5 77.344 (81.099) Epoch: [48][8910/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7925 (1.7839) Prec@1 56.250 (59.382) Prec@5 82.812 (81.099) Epoch: [48][8920/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.4951 (1.7839) Prec@1 64.062 (59.380) Prec@5 87.500 (81.099) Epoch: [48][8930/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.7496 (1.7839) Prec@1 60.156 (59.381) Prec@5 81.250 (81.099) Epoch: [48][8940/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.0443 (1.7838) Prec@1 49.219 (59.381) Prec@5 78.906 (81.100) Epoch: [48][8950/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7150 (1.7838) Prec@1 60.938 (59.381) Prec@5 80.469 (81.101) Epoch: [48][8960/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6848 (1.7839) Prec@1 59.375 (59.379) Prec@5 82.031 (81.100) Epoch: [48][8970/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.6349 (1.7838) Prec@1 63.281 (59.379) Prec@5 83.594 (81.101) Epoch: [48][8980/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6738 (1.7839) Prec@1 64.062 (59.378) Prec@5 82.031 (81.101) Epoch: [48][8990/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.7727 (1.7839) Prec@1 57.812 (59.378) Prec@5 82.031 (81.100) Epoch: [48][9000/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.6145 (1.7837) Prec@1 64.844 (59.380) Prec@5 88.281 (81.102) Epoch: [48][9010/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.9204 (1.7838) Prec@1 56.250 (59.379) Prec@5 79.688 (81.102) Epoch: [48][9020/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.5304 (1.7837) Prec@1 60.938 (59.378) Prec@5 82.031 (81.103) Epoch: [48][9030/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9699 (1.7837) Prec@1 57.031 (59.378) Prec@5 79.688 (81.104) Epoch: [48][9040/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8712 (1.7838) Prec@1 56.250 (59.376) Prec@5 82.031 (81.102) Epoch: [48][9050/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8571 (1.7838) Prec@1 53.906 (59.376) Prec@5 74.219 (81.103) Epoch: [48][9060/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7974 (1.7838) Prec@1 53.125 (59.376) Prec@5 82.031 (81.102) Epoch: [48][9070/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.2061 (1.7839) Prec@1 54.688 (59.377) Prec@5 71.875 (81.101) Epoch: [48][9080/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8472 (1.7839) Prec@1 62.500 (59.376) Prec@5 79.688 (81.101) Epoch: [48][9090/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.4558 (1.7840) Prec@1 68.750 (59.374) Prec@5 83.594 (81.099) Epoch: [48][9100/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8946 (1.7840) Prec@1 62.500 (59.374) Prec@5 75.781 (81.098) Epoch: [48][9110/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.4344 (1.7840) Prec@1 68.750 (59.375) Prec@5 85.938 (81.098) Epoch: [48][9120/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5333 (1.7840) Prec@1 65.625 (59.378) Prec@5 86.719 (81.099) Epoch: [48][9130/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.5957 (1.7840) Prec@1 62.500 (59.379) Prec@5 85.156 (81.098) Epoch: [48][9140/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.8182 (1.7840) Prec@1 54.688 (59.377) Prec@5 78.906 (81.097) Epoch: [48][9150/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0791 (1.7840) Prec@1 57.031 (59.379) Prec@5 78.906 (81.097) Epoch: [48][9160/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7110 (1.7841) Prec@1 65.625 (59.378) Prec@5 85.156 (81.096) Epoch: [48][9170/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7516 (1.7841) Prec@1 57.031 (59.378) Prec@5 80.469 (81.096) Epoch: [48][9180/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7148 (1.7841) Prec@1 58.594 (59.378) Prec@5 78.906 (81.097) Epoch: [48][9190/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9403 (1.7841) Prec@1 57.031 (59.377) Prec@5 78.125 (81.098) Epoch: [48][9200/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.5572 (1.7839) Prec@1 64.844 (59.379) Prec@5 82.812 (81.099) Epoch: [48][9210/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6746 (1.7840) Prec@1 62.500 (59.380) Prec@5 85.938 (81.099) Epoch: [48][9220/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6472 (1.7839) Prec@1 62.500 (59.382) Prec@5 82.812 (81.099) Epoch: [48][9230/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7194 (1.7839) Prec@1 58.594 (59.382) Prec@5 78.906 (81.098) Epoch: [48][9240/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8486 (1.7841) Prec@1 55.469 (59.380) Prec@5 84.375 (81.096) Epoch: [48][9250/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7774 (1.7842) Prec@1 57.812 (59.378) Prec@5 78.906 (81.095) Epoch: [48][9260/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 2.0076 (1.7842) Prec@1 54.688 (59.377) Prec@5 75.781 (81.094) Epoch: [48][9270/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.1587 (1.7842) Prec@1 52.344 (59.375) Prec@5 75.781 (81.094) Epoch: [48][9280/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.1676 (1.7842) Prec@1 52.344 (59.375) Prec@5 72.656 (81.094) Epoch: [48][9290/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 2.1989 (1.7843) Prec@1 48.438 (59.373) Prec@5 75.000 (81.092) Epoch: [48][9300/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8357 (1.7844) Prec@1 57.031 (59.372) Prec@5 80.469 (81.091) Epoch: [48][9310/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9997 (1.7845) Prec@1 55.469 (59.367) Prec@5 75.000 (81.090) Epoch: [48][9320/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8797 (1.7845) Prec@1 53.125 (59.367) Prec@5 82.812 (81.089) Epoch: [48][9330/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9780 (1.7845) Prec@1 60.938 (59.367) Prec@5 77.344 (81.090) Epoch: [48][9340/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.1408 (1.7846) Prec@1 56.250 (59.366) Prec@5 76.562 (81.089) Epoch: [48][9350/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 2.1226 (1.7845) Prec@1 61.719 (59.369) Prec@5 73.438 (81.091) Epoch: [48][9360/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8131 (1.7846) Prec@1 58.594 (59.367) Prec@5 81.250 (81.091) Epoch: [48][9370/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7357 (1.7846) Prec@1 61.719 (59.366) Prec@5 79.688 (81.090) Epoch: [48][9380/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.8423 (1.7846) Prec@1 60.156 (59.367) Prec@5 79.688 (81.090) Epoch: [48][9390/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9854 (1.7847) Prec@1 52.344 (59.366) Prec@5 78.125 (81.089) Epoch: [48][9400/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7638 (1.7847) Prec@1 64.844 (59.366) Prec@5 79.688 (81.088) Epoch: [48][9410/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9489 (1.7847) Prec@1 56.250 (59.366) Prec@5 80.469 (81.089) Epoch: [48][9420/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8363 (1.7848) Prec@1 57.031 (59.364) Prec@5 78.906 (81.087) Epoch: [48][9430/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9489 (1.7848) Prec@1 54.688 (59.365) Prec@5 78.125 (81.087) Epoch: [48][9440/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7155 (1.7848) Prec@1 54.688 (59.366) Prec@5 82.812 (81.086) Epoch: [48][9450/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.0142 (1.7849) Prec@1 57.031 (59.366) Prec@5 80.469 (81.085) Epoch: [48][9460/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7598 (1.7849) Prec@1 58.594 (59.366) Prec@5 79.688 (81.085) Epoch: [48][9470/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0002 (1.7849) Prec@1 57.031 (59.367) Prec@5 78.906 (81.085) Epoch: [48][9480/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.9218 (1.7849) Prec@1 59.375 (59.368) Prec@5 77.344 (81.085) Epoch: [48][9490/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8786 (1.7850) Prec@1 54.688 (59.367) Prec@5 76.562 (81.084) Epoch: [48][9500/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8504 (1.7850) Prec@1 58.594 (59.367) Prec@5 82.031 (81.083) Epoch: [48][9510/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.6673 (1.7851) Prec@1 62.500 (59.364) Prec@5 82.812 (81.081) Epoch: [48][9520/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.4135 (1.7850) Prec@1 64.062 (59.365) Prec@5 85.156 (81.082) Epoch: [48][9530/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.7565 (1.7851) Prec@1 53.125 (59.363) Prec@5 79.688 (81.081) Epoch: [48][9540/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6920 (1.7850) Prec@1 60.156 (59.365) Prec@5 83.594 (81.082) Epoch: [48][9550/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7988 (1.7851) Prec@1 60.156 (59.362) Prec@5 78.125 (81.081) Epoch: [48][9560/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.3016 (1.7851) Prec@1 50.000 (59.361) Prec@5 72.656 (81.081) Epoch: [48][9570/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.9887 (1.7851) Prec@1 53.125 (59.360) Prec@5 76.562 (81.081) Epoch: [48][9580/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.1039 (1.7852) Prec@1 50.000 (59.359) Prec@5 73.438 (81.080) Epoch: [48][9590/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 1.9780 (1.7852) Prec@1 56.250 (59.360) Prec@5 78.906 (81.080) Epoch: [48][9600/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7189 (1.7852) Prec@1 64.062 (59.360) Prec@5 80.469 (81.079) Epoch: [48][9610/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.9005 (1.7853) Prec@1 59.375 (59.358) Prec@5 78.906 (81.079) Epoch: [48][9620/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6747 (1.7853) Prec@1 60.156 (59.359) Prec@5 83.594 (81.079) Epoch: [48][9630/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5766 (1.7853) Prec@1 62.500 (59.359) Prec@5 84.375 (81.078) Epoch: [48][9640/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.7844 (1.7853) Prec@1 63.281 (59.360) Prec@5 82.031 (81.079) Epoch: [48][9650/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7064 (1.7853) Prec@1 58.594 (59.359) Prec@5 82.031 (81.078) Epoch: [48][9660/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6778 (1.7853) Prec@1 63.281 (59.361) Prec@5 84.375 (81.079) Epoch: [48][9670/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 2.0812 (1.7854) Prec@1 53.906 (59.359) Prec@5 78.906 (81.076) Epoch: [48][9680/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0257 (1.7855) Prec@1 56.250 (59.356) Prec@5 81.250 (81.076) Epoch: [48][9690/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.4199 (1.7855) Prec@1 67.969 (59.357) Prec@5 85.156 (81.076) Epoch: [48][9700/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.6872 (1.7855) Prec@1 63.281 (59.358) Prec@5 81.250 (81.076) Epoch: [48][9710/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9513 (1.7856) Prec@1 51.562 (59.356) Prec@5 82.031 (81.074) Epoch: [48][9720/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9627 (1.7857) Prec@1 56.250 (59.354) Prec@5 78.125 (81.073) Epoch: [48][9730/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.0383 (1.7857) Prec@1 56.250 (59.353) Prec@5 77.344 (81.074) Epoch: [48][9740/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7338 (1.7858) Prec@1 60.156 (59.354) Prec@5 78.125 (81.073) Epoch: [48][9750/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.7248 (1.7858) Prec@1 61.719 (59.353) Prec@5 80.469 (81.073) Epoch: [48][9760/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.6800 (1.7857) Prec@1 61.719 (59.355) Prec@5 82.812 (81.075) Epoch: [48][9770/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8988 (1.7858) Prec@1 57.812 (59.353) Prec@5 80.469 (81.075) Epoch: [48][9780/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8208 (1.7857) Prec@1 61.719 (59.354) Prec@5 82.812 (81.076) Epoch: [48][9790/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.8221 (1.7858) Prec@1 58.594 (59.352) Prec@5 84.375 (81.074) Epoch: [48][9800/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.1107 (1.7859) Prec@1 53.906 (59.350) Prec@5 74.219 (81.073) Epoch: [48][9810/10010] Time 0.348 (0.332) Data 0.001 (0.001) Loss 1.5526 (1.7859) Prec@1 67.188 (59.349) Prec@5 82.812 (81.074) Epoch: [48][9820/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8271 (1.7859) Prec@1 57.812 (59.350) Prec@5 80.469 (81.073) Epoch: [48][9830/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8940 (1.7859) Prec@1 56.250 (59.350) Prec@5 79.688 (81.074) Epoch: [48][9840/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.1344 (1.7859) Prec@1 52.344 (59.350) Prec@5 73.438 (81.073) Epoch: [48][9850/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7224 (1.7859) Prec@1 62.500 (59.349) Prec@5 82.031 (81.074) Epoch: [48][9860/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 2.0564 (1.7860) Prec@1 52.344 (59.347) Prec@5 74.219 (81.073) Epoch: [48][9870/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5901 (1.7861) Prec@1 64.062 (59.347) Prec@5 83.594 (81.072) Epoch: [48][9880/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7905 (1.7861) Prec@1 58.594 (59.344) Prec@5 79.688 (81.070) Epoch: [48][9890/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.8855 (1.7862) Prec@1 51.562 (59.342) Prec@5 81.250 (81.069) Epoch: [48][9900/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7947 (1.7863) Prec@1 62.500 (59.342) Prec@5 82.031 (81.068) Epoch: [48][9910/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8004 (1.7863) Prec@1 60.938 (59.342) Prec@5 78.125 (81.067) Epoch: [48][9920/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7645 (1.7862) Prec@1 57.812 (59.344) Prec@5 81.250 (81.069) Epoch: [48][9930/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6731 (1.7862) Prec@1 66.406 (59.344) Prec@5 81.250 (81.069) Epoch: [48][9940/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7398 (1.7862) Prec@1 56.250 (59.344) Prec@5 81.250 (81.069) Epoch: [48][9950/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.4476 (1.7861) Prec@1 57.812 (59.344) Prec@5 88.281 (81.071) Epoch: [48][9960/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.5195 (1.7861) Prec@1 63.281 (59.345) Prec@5 83.594 (81.071) Epoch: [48][9970/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 2.0887 (1.7863) Prec@1 50.781 (59.342) Prec@5 77.344 (81.068) Epoch: [48][9980/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.5327 (1.7862) Prec@1 60.938 (59.344) Prec@5 85.938 (81.069) Epoch: [48][9990/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6733 (1.7861) Prec@1 63.281 (59.346) Prec@5 79.688 (81.070) Epoch: [48][10000/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.8587 (1.7862) Prec@1 58.594 (59.345) Prec@5 79.688 (81.069) Test: [0/391] Time 1.934 (1.934) Loss 0.7801 (0.7801) Prec@1 83.594 (83.594) Prec@5 91.406 (91.406) Test: [10/391] Time 0.105 (0.273) Loss 1.3485 (0.8386) Prec@1 69.531 (80.185) Prec@5 89.062 (93.608) Test: [20/391] Time 0.104 (0.194) Loss 1.3122 (1.1295) Prec@1 68.750 (71.875) Prec@5 86.719 (90.365) Test: [30/391] Time 0.109 (0.166) Loss 1.8521 (1.3303) Prec@1 65.625 (67.616) Prec@5 78.906 (87.928) Test: [40/391] Time 0.106 (0.152) Loss 1.3680 (1.2046) Prec@1 69.531 (70.770) Prec@5 88.281 (89.272) Test: [50/391] Time 0.104 (0.143) Loss 0.7267 (1.2083) Prec@1 81.250 (70.634) Prec@5 94.531 (89.354) Test: [60/391] Time 0.103 (0.138) Loss 1.2458 (1.1412) Prec@1 67.969 (72.208) Prec@5 88.281 (90.010) Test: [70/391] Time 0.111 (0.134) Loss 1.3953 (1.1700) Prec@1 58.594 (70.973) Prec@5 92.188 (90.075) Test: [80/391] Time 0.107 (0.131) Loss 1.2616 (1.1955) Prec@1 68.750 (69.869) Prec@5 89.062 (90.075) Test: [90/391] Time 0.104 (0.128) Loss 1.3116 (1.1978) Prec@1 61.719 (69.909) Prec@5 92.188 (90.118) Test: [100/391] Time 0.110 (0.127) Loss 1.4529 (1.1932) Prec@1 62.500 (69.485) Prec@5 89.844 (90.432) Test: [110/391] Time 0.111 (0.125) Loss 1.4814 (1.2040) Prec@1 49.219 (68.877) Prec@5 86.719 (90.393) Test: [120/391] Time 0.116 (0.123) Loss 0.9121 (1.1934) Prec@1 73.438 (69.124) Prec@5 95.312 (90.548) Test: [130/391] Time 0.102 (0.122) Loss 0.8322 (1.1879) Prec@1 82.812 (69.448) Prec@5 92.969 (90.595) Test: [140/391] Time 0.109 (0.121) Loss 1.6990 (1.1881) Prec@1 57.812 (69.459) Prec@5 83.594 (90.636) Test: [150/391] Time 0.104 (0.120) Loss 1.3426 (1.2007) Prec@1 55.469 (69.304) Prec@5 89.844 (90.408) Test: [160/391] Time 0.101 (0.119) Loss 1.1110 (1.2104) Prec@1 73.438 (69.192) Prec@5 90.625 (90.276) Test: [170/391] Time 0.108 (0.118) Loss 2.3417 (1.2478) Prec@1 41.406 (68.407) Prec@5 76.562 (89.752) Test: [180/391] Time 0.109 (0.118) Loss 2.1977 (1.2842) Prec@1 46.875 (67.684) Prec@5 83.594 (89.300) Test: [190/391] Time 0.100 (0.117) Loss 2.0857 (1.3129) Prec@1 44.531 (67.110) Prec@5 81.250 (88.915) Test: [200/391] Time 0.102 (0.117) Loss 1.6720 (1.3490) Prec@1 51.562 (66.433) Prec@5 85.156 (88.433) Test: [210/391] Time 0.105 (0.116) Loss 1.7121 (1.3676) Prec@1 61.719 (66.092) Prec@5 84.375 (88.203) Test: [220/391] Time 0.108 (0.116) Loss 0.9500 (1.3824) Prec@1 78.125 (65.936) Prec@5 92.969 (87.903) Test: [230/391] Time 0.118 (0.116) Loss 2.4818 (1.3986) Prec@1 40.625 (65.679) Prec@5 75.000 (87.679) Test: [240/391] Time 0.104 (0.116) Loss 1.7131 (1.4080) Prec@1 62.500 (65.654) Prec@5 82.031 (87.500) Test: [250/391] Time 0.112 (0.115) Loss 1.1884 (1.4307) Prec@1 71.875 (65.152) Prec@5 86.719 (87.176) Test: [260/391] Time 0.106 (0.115) Loss 1.9321 (1.4518) Prec@1 54.688 (64.724) Prec@5 79.688 (86.904) Test: [270/391] Time 0.098 (0.115) Loss 2.3596 (1.4630) Prec@1 42.188 (64.515) Prec@5 78.125 (86.716) Test: [280/391] Time 0.105 (0.114) Loss 1.7529 (1.4773) Prec@1 53.906 (64.246) Prec@5 84.375 (86.549) Test: [290/391] Time 0.100 (0.114) Loss 2.0718 (1.4891) Prec@1 36.719 (64.038) Prec@5 80.469 (86.329) Test: [300/391] Time 0.102 (0.114) Loss 1.4112 (1.5001) Prec@1 69.531 (63.876) Prec@5 87.500 (86.163) Test: [310/391] Time 0.110 (0.114) Loss 1.7154 (1.5108) Prec@1 60.938 (63.708) Prec@5 78.906 (85.927) Test: [320/391] Time 0.116 (0.114) Loss 0.9908 (1.5191) Prec@1 75.781 (63.585) Prec@5 94.531 (85.826) Test: [330/391] Time 0.104 (0.113) Loss 2.2731 (1.5410) Prec@1 44.531 (63.092) Prec@5 74.219 (85.510) Test: [340/391] Time 0.108 (0.113) Loss 1.3325 (1.5487) Prec@1 63.281 (62.896) Prec@5 91.406 (85.420) Test: [350/391] Time 0.106 (0.113) Loss 1.4159 (1.5520) Prec@1 67.969 (62.903) Prec@5 89.062 (85.341) Test: [360/391] Time 0.101 (0.113) Loss 1.9152 (1.5625) Prec@1 54.688 (62.710) Prec@5 80.469 (85.223) Test: [370/391] Time 0.104 (0.113) Loss 1.4468 (1.5557) Prec@1 57.812 (62.824) Prec@5 93.750 (85.337) Test: [380/391] Time 0.105 (0.112) Loss 1.1156 (1.5595) Prec@1 73.438 (62.777) Prec@5 90.625 (85.263) Test: [390/391] Time 0.074 (0.112) Loss 2.4116 (1.5524) Prec@1 45.000 (62.946) Prec@5 73.750 (85.372) * Prec@1 62.946 Prec@5 85.372 Epoch: [49][0/10010] Time 2.727 (2.727) Data 2.558 (2.558) Loss 1.6748 (1.6748) Prec@1 63.281 (63.281) Prec@5 82.812 (82.812) Epoch: [49][10/10010] Time 0.316 (0.541) Data 0.000 (0.233) Loss 1.7316 (1.7427) Prec@1 58.594 (59.304) Prec@5 82.812 (82.173) Epoch: [49][20/10010] Time 0.321 (0.437) Data 0.001 (0.122) Loss 1.8059 (1.7712) Prec@1 55.469 (59.338) Prec@5 82.031 (81.548) Epoch: [49][30/10010] Time 0.318 (0.400) Data 0.001 (0.083) Loss 1.8242 (1.7743) Prec@1 59.375 (59.425) Prec@5 82.812 (81.729) Epoch: [49][40/10010] Time 0.326 (0.381) Data 0.001 (0.063) Loss 2.0841 (1.7942) Prec@1 54.688 (59.527) Prec@5 78.125 (81.364) Epoch: [49][50/10010] Time 0.351 (0.372) Data 0.000 (0.051) Loss 1.9189 (1.7786) Prec@1 53.906 (59.896) Prec@5 79.688 (81.495) Epoch: [49][60/10010] Time 0.324 (0.366) Data 0.000 (0.043) Loss 1.7733 (1.7901) Prec@1 61.719 (59.759) Prec@5 79.688 (81.224) Epoch: [49][70/10010] Time 0.326 (0.361) Data 0.000 (0.037) Loss 1.7383 (1.7882) Prec@1 59.375 (59.716) Prec@5 78.125 (81.206) Epoch: [49][80/10010] Time 0.347 (0.357) Data 0.000 (0.032) Loss 2.0598 (1.7948) Prec@1 56.250 (59.414) Prec@5 81.250 (81.067) Epoch: [49][90/10010] Time 0.334 (0.355) Data 0.001 (0.029) Loss 1.8687 (1.7973) Prec@1 57.812 (59.530) Prec@5 79.688 (80.941) Epoch: [49][100/10010] Time 0.347 (0.353) Data 0.000 (0.026) Loss 1.9525 (1.8054) Prec@1 60.156 (59.522) Prec@5 79.688 (80.693) Epoch: [49][110/10010] Time 0.340 (0.352) Data 0.000 (0.024) Loss 1.9535 (1.7977) Prec@1 59.375 (59.600) Prec@5 75.781 (80.736) Epoch: [49][120/10010] Time 0.318 (0.350) Data 0.001 (0.022) Loss 1.5182 (1.7872) Prec@1 64.844 (59.666) Prec@5 88.281 (80.959) Epoch: [49][130/10010] Time 0.329 (0.348) Data 0.000 (0.020) Loss 1.8483 (1.7882) Prec@1 55.469 (59.709) Prec@5 82.031 (80.952) Epoch: [49][140/10010] Time 0.342 (0.347) Data 0.000 (0.019) Loss 1.8102 (1.7948) Prec@1 60.156 (59.646) Prec@5 79.688 (80.851) Epoch: [49][150/10010] Time 0.329 (0.347) Data 0.000 (0.018) Loss 1.9578 (1.7900) Prec@1 56.250 (59.670) Prec@5 78.125 (80.950) Epoch: [49][160/10010] Time 0.322 (0.346) Data 0.000 (0.017) Loss 1.8395 (1.7907) Prec@1 64.844 (59.559) Prec@5 78.906 (81.007) Epoch: [49][170/10010] Time 0.327 (0.345) Data 0.001 (0.016) Loss 1.8284 (1.7858) Prec@1 59.375 (59.613) Prec@5 79.688 (81.072) Epoch: [49][180/10010] Time 0.346 (0.344) Data 0.001 (0.015) Loss 1.7344 (1.7817) Prec@1 59.375 (59.677) Prec@5 82.031 (81.159) Epoch: [49][190/10010] Time 0.325 (0.344) Data 0.000 (0.014) Loss 1.7581 (1.7787) Prec@1 60.938 (59.747) Prec@5 83.594 (81.217) Epoch: [49][200/10010] Time 0.339 (0.344) Data 0.000 (0.013) Loss 2.2848 (1.7790) Prec@1 51.562 (59.674) Prec@5 75.781 (81.227) Epoch: [49][210/10010] Time 0.326 (0.343) Data 0.001 (0.013) Loss 1.7981 (1.7793) Prec@1 57.812 (59.638) Prec@5 81.250 (81.220) Epoch: [49][220/10010] Time 0.332 (0.342) Data 0.000 (0.012) Loss 1.5479 (1.7786) Prec@1 65.625 (59.608) Prec@5 85.156 (81.268) Epoch: [49][230/10010] Time 0.346 (0.342) Data 0.000 (0.012) Loss 1.5143 (1.7745) Prec@1 64.844 (59.690) Prec@5 85.156 (81.287) Epoch: [49][240/10010] Time 0.323 (0.342) Data 0.001 (0.011) Loss 1.7260 (1.7716) Prec@1 62.500 (59.745) Prec@5 83.594 (81.357) Epoch: [49][250/10010] Time 0.333 (0.341) Data 0.001 (0.011) Loss 1.8166 (1.7685) Prec@1 59.375 (59.736) Prec@5 83.594 (81.452) Epoch: [49][260/10010] Time 0.335 (0.341) Data 0.001 (0.010) Loss 1.8556 (1.7668) Prec@1 55.469 (59.707) Prec@5 78.125 (81.460) Epoch: [49][270/10010] Time 0.337 (0.341) Data 0.001 (0.010) Loss 1.8508 (1.7655) Prec@1 57.031 (59.796) Prec@5 75.781 (81.449) Epoch: [49][280/10010] Time 0.338 (0.340) Data 0.000 (0.010) Loss 1.8866 (1.7664) Prec@1 57.031 (59.800) Prec@5 78.906 (81.422) Epoch: [49][290/10010] Time 0.338 (0.340) Data 0.001 (0.009) Loss 1.7122 (1.7693) Prec@1 58.594 (59.681) Prec@5 81.250 (81.400) Epoch: [49][300/10010] Time 0.323 (0.340) Data 0.001 (0.009) Loss 1.5399 (1.7702) Prec@1 64.062 (59.661) Prec@5 77.344 (81.388) Epoch: [49][310/10010] Time 0.338 (0.340) Data 0.001 (0.009) Loss 2.0396 (1.7709) Prec@1 60.156 (59.659) Prec@5 76.562 (81.408) Epoch: [49][320/10010] Time 0.328 (0.340) Data 0.001 (0.009) Loss 1.7548 (1.7678) Prec@1 60.156 (59.691) Prec@5 79.688 (81.447) Epoch: [49][330/10010] Time 0.324 (0.340) Data 0.001 (0.008) Loss 1.7537 (1.7645) Prec@1 58.594 (59.713) Prec@5 82.812 (81.474) Epoch: [49][340/10010] Time 0.339 (0.339) Data 0.000 (0.008) Loss 1.7737 (1.7622) Prec@1 57.812 (59.746) Prec@5 79.688 (81.495) Epoch: [49][350/10010] Time 0.328 (0.339) Data 0.001 (0.008) Loss 1.4661 (1.7619) Prec@1 62.500 (59.756) Prec@5 83.594 (81.517) Epoch: [49][360/10010] Time 0.337 (0.339) Data 0.001 (0.008) Loss 1.6368 (1.7573) Prec@1 58.594 (59.816) Prec@5 81.250 (81.581) Epoch: [49][370/10010] Time 0.328 (0.339) Data 0.000 (0.008) Loss 1.8701 (1.7590) Prec@1 58.594 (59.842) Prec@5 78.125 (81.520) Epoch: [49][380/10010] Time 0.328 (0.339) Data 0.001 (0.007) Loss 1.9878 (1.7605) Prec@1 53.906 (59.847) Prec@5 75.000 (81.486) Epoch: [49][390/10010] Time 0.338 (0.338) Data 0.001 (0.007) Loss 2.1234 (1.7627) Prec@1 56.250 (59.837) Prec@5 75.781 (81.434) Epoch: [49][400/10010] Time 0.337 (0.338) Data 0.001 (0.007) Loss 1.9196 (1.7620) Prec@1 52.344 (59.821) Prec@5 83.594 (81.453) Epoch: [49][410/10010] Time 0.335 (0.338) Data 0.001 (0.007) Loss 1.7292 (1.7615) Prec@1 57.812 (59.831) Prec@5 82.812 (81.453) Epoch: [49][420/10010] Time 0.323 (0.338) Data 0.001 (0.007) Loss 2.0776 (1.7619) Prec@1 52.344 (59.793) Prec@5 75.781 (81.458) Epoch: [49][430/10010] Time 0.325 (0.338) Data 0.001 (0.007) Loss 1.5624 (1.7605) Prec@1 67.188 (59.848) Prec@5 86.719 (81.477) Epoch: [49][440/10010] Time 0.331 (0.338) Data 0.001 (0.006) Loss 1.9234 (1.7620) Prec@1 55.469 (59.798) Prec@5 76.562 (81.445) Epoch: [49][450/10010] Time 0.336 (0.338) Data 0.000 (0.006) Loss 2.0978 (1.7635) Prec@1 52.344 (59.801) Prec@5 75.000 (81.401) Epoch: [49][460/10010] Time 0.338 (0.338) Data 0.001 (0.006) Loss 1.5777 (1.7627) Prec@1 64.062 (59.800) Prec@5 86.719 (81.436) Epoch: [49][470/10010] Time 0.325 (0.338) Data 0.001 (0.006) Loss 1.7690 (1.7598) Prec@1 53.906 (59.833) Prec@5 82.031 (81.491) Epoch: [49][480/10010] Time 0.333 (0.338) Data 0.000 (0.006) Loss 2.0895 (1.7598) Prec@1 53.125 (59.833) Prec@5 73.438 (81.489) Epoch: [49][490/10010] Time 0.323 (0.337) Data 0.001 (0.006) Loss 1.7686 (1.7586) Prec@1 60.938 (59.867) Prec@5 79.688 (81.489) Epoch: [49][500/10010] Time 0.331 (0.337) Data 0.000 (0.006) Loss 1.8387 (1.7587) Prec@1 59.375 (59.868) Prec@5 78.125 (81.467) Epoch: [49][510/10010] Time 0.336 (0.337) Data 0.000 (0.006) Loss 1.6759 (1.7596) Prec@1 64.062 (59.858) Prec@5 80.469 (81.455) Epoch: [49][520/10010] Time 0.337 (0.337) Data 0.000 (0.006) Loss 1.7520 (1.7569) Prec@1 60.938 (59.900) Prec@5 82.031 (81.494) Epoch: [49][530/10010] Time 0.340 (0.337) Data 0.000 (0.005) Loss 1.9166 (1.7532) Prec@1 55.469 (59.966) Prec@5 81.250 (81.560) Epoch: [49][540/10010] Time 0.336 (0.337) Data 0.001 (0.005) Loss 1.6927 (1.7531) Prec@1 60.938 (59.983) Prec@5 81.250 (81.560) Epoch: [49][550/10010] Time 0.348 (0.337) Data 0.000 (0.005) Loss 1.6258 (1.7536) Prec@1 64.062 (59.968) Prec@5 83.594 (81.563) Epoch: [49][560/10010] Time 0.326 (0.337) Data 0.001 (0.005) Loss 1.7582 (1.7529) Prec@1 58.594 (59.992) Prec@5 82.031 (81.576) Epoch: [49][570/10010] Time 0.340 (0.337) Data 0.001 (0.005) Loss 1.6166 (1.7536) Prec@1 61.719 (59.962) Prec@5 84.375 (81.565) Epoch: [49][580/10010] Time 0.343 (0.337) Data 0.000 (0.005) Loss 1.6413 (1.7535) Prec@1 60.938 (59.941) Prec@5 84.375 (81.551) Epoch: [49][590/10010] Time 0.322 (0.337) Data 0.000 (0.005) Loss 1.7366 (1.7536) Prec@1 58.594 (59.942) Prec@5 78.125 (81.541) Epoch: [49][600/10010] Time 0.319 (0.337) Data 0.001 (0.005) Loss 2.1307 (1.7563) Prec@1 51.562 (59.892) Prec@5 78.125 (81.496) Epoch: [49][610/10010] Time 0.332 (0.337) Data 0.001 (0.005) Loss 2.0307 (1.7570) Prec@1 54.688 (59.898) Prec@5 77.344 (81.480) Epoch: [49][620/10010] Time 0.329 (0.336) Data 0.000 (0.005) Loss 1.7768 (1.7573) Prec@1 62.500 (59.893) Prec@5 80.469 (81.461) Epoch: [49][630/10010] Time 0.319 (0.336) Data 0.001 (0.005) Loss 1.7448 (1.7589) Prec@1 54.688 (59.860) Prec@5 82.031 (81.443) Epoch: [49][640/10010] Time 0.343 (0.336) Data 0.000 (0.005) Loss 1.9532 (1.7604) Prec@1 56.250 (59.817) Prec@5 78.906 (81.451) Epoch: [49][650/10010] Time 0.337 (0.336) Data 0.000 (0.005) Loss 1.9676 (1.7605) Prec@1 58.594 (59.829) Prec@5 77.344 (81.432) Epoch: [49][660/10010] Time 0.322 (0.336) Data 0.000 (0.004) Loss 1.8551 (1.7589) Prec@1 66.406 (59.884) Prec@5 80.469 (81.454) Epoch: [49][670/10010] Time 0.340 (0.336) Data 0.001 (0.004) Loss 1.7446 (1.7596) Prec@1 64.844 (59.878) Prec@5 78.906 (81.450) Epoch: [49][680/10010] Time 0.344 (0.336) Data 0.001 (0.004) Loss 2.1113 (1.7620) Prec@1 49.219 (59.843) Prec@5 76.562 (81.417) Epoch: [49][690/10010] Time 0.328 (0.336) Data 0.001 (0.004) Loss 1.6144 (1.7599) Prec@1 64.062 (59.897) Prec@5 82.031 (81.430) Epoch: [49][700/10010] Time 0.332 (0.336) Data 0.001 (0.004) Loss 1.6089 (1.7612) Prec@1 63.281 (59.865) Prec@5 82.031 (81.409) Epoch: [49][710/10010] Time 0.334 (0.336) Data 0.001 (0.004) Loss 1.6450 (1.7630) Prec@1 63.281 (59.845) Prec@5 81.250 (81.375) Epoch: [49][720/10010] Time 0.332 (0.336) Data 0.001 (0.004) Loss 1.9776 (1.7619) Prec@1 54.688 (59.851) Prec@5 78.906 (81.392) Epoch: [49][730/10010] Time 0.342 (0.336) Data 0.001 (0.004) Loss 1.7333 (1.7637) Prec@1 61.719 (59.820) Prec@5 82.812 (81.369) Epoch: [49][740/10010] Time 0.319 (0.336) Data 0.001 (0.004) Loss 1.5765 (1.7630) Prec@1 64.844 (59.824) Prec@5 85.156 (81.398) Epoch: [49][750/10010] Time 0.323 (0.336) Data 0.000 (0.004) Loss 1.9827 (1.7628) Prec@1 53.125 (59.807) Prec@5 78.906 (81.405) Epoch: [49][760/10010] Time 0.329 (0.336) Data 0.001 (0.004) Loss 1.7523 (1.7630) Prec@1 60.156 (59.803) Prec@5 82.812 (81.407) Epoch: [49][770/10010] Time 0.324 (0.335) Data 0.000 (0.004) Loss 1.7489 (1.7638) Prec@1 58.594 (59.788) Prec@5 82.812 (81.406) Epoch: [49][780/10010] Time 0.330 (0.335) Data 0.000 (0.004) Loss 2.1518 (1.7640) Prec@1 50.781 (59.771) Prec@5 75.781 (81.390) Epoch: [49][790/10010] Time 0.320 (0.335) Data 0.001 (0.004) Loss 1.8301 (1.7647) Prec@1 63.281 (59.739) Prec@5 80.469 (81.387) Epoch: [49][800/10010] Time 0.340 (0.335) Data 0.001 (0.004) Loss 1.9265 (1.7651) Prec@1 55.469 (59.716) Prec@5 77.344 (81.371) Epoch: [49][810/10010] Time 0.331 (0.335) Data 0.000 (0.004) Loss 1.7793 (1.7656) Prec@1 52.344 (59.703) Prec@5 80.469 (81.360) Epoch: [49][820/10010] Time 0.334 (0.335) Data 0.001 (0.004) Loss 1.7511 (1.7648) Prec@1 60.156 (59.723) Prec@5 78.125 (81.378) Epoch: [49][830/10010] Time 0.338 (0.335) Data 0.001 (0.004) Loss 1.6552 (1.7644) Prec@1 66.406 (59.741) Prec@5 81.250 (81.388) Epoch: [49][840/10010] Time 0.329 (0.335) Data 0.000 (0.004) Loss 1.6475 (1.7628) Prec@1 63.281 (59.764) Prec@5 85.156 (81.400) Epoch: [49][850/10010] Time 0.335 (0.335) Data 0.001 (0.004) Loss 1.9220 (1.7633) Prec@1 61.719 (59.769) Prec@5 79.688 (81.389) Epoch: [49][860/10010] Time 0.339 (0.335) Data 0.000 (0.004) Loss 1.9306 (1.7648) Prec@1 53.906 (59.727) Prec@5 82.031 (81.382) Epoch: [49][870/10010] Time 0.335 (0.335) Data 0.001 (0.004) Loss 1.7023 (1.7643) Prec@1 61.719 (59.736) Prec@5 82.031 (81.382) Epoch: [49][880/10010] Time 0.328 (0.335) Data 0.000 (0.004) Loss 1.8736 (1.7648) Prec@1 56.250 (59.729) Prec@5 78.125 (81.378) Epoch: [49][890/10010] Time 0.324 (0.335) Data 0.001 (0.003) Loss 1.6706 (1.7639) Prec@1 62.500 (59.748) Prec@5 82.812 (81.392) /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][900/10010] Time 0.344 (0.335) Data 0.000 (0.003) Loss 1.4744 (1.7640) Prec@1 68.750 (59.749) Prec@5 86.719 (81.396) Epoch: [49][910/10010] Time 0.325 (0.335) Data 0.000 (0.003) Loss 1.6470 (1.7646) Prec@1 64.844 (59.741) Prec@5 82.812 (81.378) Epoch: [49][920/10010] Time 0.344 (0.335) Data 0.001 (0.003) Loss 1.8850 (1.7639) Prec@1 59.375 (59.747) Prec@5 79.688 (81.386) Epoch: [49][930/10010] Time 0.318 (0.335) Data 0.001 (0.003) Loss 1.9008 (1.7649) Prec@1 56.250 (59.742) Prec@5 82.031 (81.373) Epoch: [49][940/10010] Time 0.336 (0.335) Data 0.001 (0.003) Loss 1.5362 (1.7635) Prec@1 64.844 (59.767) Prec@5 84.375 (81.390) Epoch: [49][950/10010] Time 0.322 (0.335) Data 0.000 (0.003) Loss 2.1011 (1.7643) Prec@1 55.469 (59.743) Prec@5 74.219 (81.374) Epoch: [49][960/10010] Time 0.329 (0.335) Data 0.001 (0.003) Loss 1.4244 (1.7645) Prec@1 67.969 (59.748) Prec@5 88.281 (81.368) Epoch: [49][970/10010] Time 0.327 (0.335) Data 0.001 (0.003) Loss 2.0080 (1.7647) Prec@1 63.281 (59.743) Prec@5 81.250 (81.363) Epoch: [49][980/10010] Time 0.331 (0.335) Data 0.000 (0.003) Loss 1.5973 (1.7647) Prec@1 62.500 (59.745) Prec@5 82.031 (81.360) Epoch: [49][990/10010] Time 0.336 (0.335) Data 0.000 (0.003) Loss 1.7762 (1.7651) Prec@1 59.375 (59.738) Prec@5 78.125 (81.355) Epoch: [49][1000/10010] Time 0.327 (0.335) Data 0.001 (0.003) Loss 1.8221 (1.7648) Prec@1 56.250 (59.741) Prec@5 78.906 (81.359) Epoch: [49][1010/10010] Time 0.323 (0.335) Data 0.001 (0.003) Loss 1.6646 (1.7649) Prec@1 61.719 (59.740) Prec@5 84.375 (81.350) Epoch: [49][1020/10010] Time 0.331 (0.335) Data 0.001 (0.003) Loss 2.1997 (1.7649) Prec@1 46.875 (59.717) Prec@5 77.344 (81.356) Epoch: [49][1030/10010] Time 0.330 (0.335) Data 0.000 (0.003) Loss 1.7646 (1.7650) Prec@1 57.812 (59.719) Prec@5 81.250 (81.355) Epoch: [49][1040/10010] Time 0.344 (0.335) Data 0.000 (0.003) Loss 2.0455 (1.7657) Prec@1 53.125 (59.698) Prec@5 75.000 (81.346) Epoch: [49][1050/10010] Time 0.331 (0.335) Data 0.000 (0.003) Loss 1.6679 (1.7660) Prec@1 61.719 (59.694) Prec@5 78.906 (81.340) Epoch: [49][1060/10010] Time 0.327 (0.335) Data 0.001 (0.003) Loss 1.5996 (1.7653) Prec@1 64.062 (59.710) Prec@5 85.156 (81.347) Epoch: [49][1070/10010] Time 0.342 (0.335) Data 0.001 (0.003) Loss 1.4695 (1.7652) Prec@1 68.750 (59.727) Prec@5 83.594 (81.351) Epoch: [49][1080/10010] Time 0.323 (0.335) Data 0.000 (0.003) Loss 1.7823 (1.7648) Prec@1 53.125 (59.735) Prec@5 82.031 (81.361) Epoch: [49][1090/10010] Time 0.327 (0.335) Data 0.001 (0.003) Loss 1.8644 (1.7648) Prec@1 60.156 (59.736) Prec@5 81.250 (81.359) Epoch: [49][1100/10010] Time 0.346 (0.335) Data 0.001 (0.003) Loss 2.1173 (1.7651) Prec@1 57.812 (59.738) Prec@5 76.562 (81.350) Epoch: [49][1110/10010] Time 0.342 (0.335) Data 0.001 (0.003) Loss 1.9347 (1.7646) Prec@1 60.156 (59.770) Prec@5 78.906 (81.348) Epoch: [49][1120/10010] Time 0.329 (0.335) Data 0.000 (0.003) Loss 1.6436 (1.7635) Prec@1 60.938 (59.799) Prec@5 85.156 (81.356) Epoch: [49][1130/10010] Time 0.340 (0.334) Data 0.001 (0.003) Loss 1.8823 (1.7634) Prec@1 57.812 (59.798) Prec@5 80.469 (81.355) Epoch: [49][1140/10010] Time 0.325 (0.334) Data 0.001 (0.003) Loss 1.7100 (1.7621) Prec@1 60.938 (59.821) Prec@5 82.031 (81.368) Epoch: [49][1150/10010] Time 0.323 (0.334) Data 0.000 (0.003) Loss 1.9169 (1.7619) Prec@1 56.250 (59.837) Prec@5 81.250 (81.374) Epoch: [49][1160/10010] Time 0.335 (0.334) Data 0.000 (0.003) Loss 1.6634 (1.7612) Prec@1 62.500 (59.855) Prec@5 84.375 (81.388) Epoch: [49][1170/10010] Time 0.322 (0.334) Data 0.001 (0.003) Loss 2.0232 (1.7618) Prec@1 60.156 (59.841) Prec@5 79.688 (81.385) Epoch: [49][1180/10010] Time 0.331 (0.334) Data 0.000 (0.003) Loss 1.8622 (1.7618) Prec@1 56.250 (59.833) Prec@5 81.250 (81.389) Epoch: [49][1190/10010] Time 0.328 (0.334) Data 0.001 (0.003) Loss 1.7209 (1.7621) Prec@1 59.375 (59.839) Prec@5 82.031 (81.378) Epoch: [49][1200/10010] Time 0.321 (0.334) Data 0.000 (0.003) Loss 1.7430 (1.7625) Prec@1 59.375 (59.836) Prec@5 86.719 (81.372) Epoch: [49][1210/10010] Time 0.326 (0.334) Data 0.001 (0.003) Loss 1.7894 (1.7623) Prec@1 67.188 (59.850) Prec@5 78.906 (81.373) Epoch: [49][1220/10010] Time 0.316 (0.334) Data 0.001 (0.003) Loss 1.7775 (1.7627) Prec@1 57.031 (59.835) Prec@5 81.250 (81.352) Epoch: [49][1230/10010] Time 0.321 (0.334) Data 0.000 (0.003) Loss 1.5987 (1.7625) Prec@1 67.188 (59.854) Prec@5 81.250 (81.360) Epoch: [49][1240/10010] Time 0.320 (0.334) Data 0.001 (0.003) Loss 2.0858 (1.7627) Prec@1 59.375 (59.860) Prec@5 77.344 (81.356) Epoch: [49][1250/10010] Time 0.334 (0.334) Data 0.001 (0.003) Loss 2.2861 (1.7629) Prec@1 53.125 (59.853) Prec@5 71.094 (81.352) Epoch: [49][1260/10010] Time 0.327 (0.334) Data 0.001 (0.003) Loss 2.1129 (1.7636) Prec@1 52.344 (59.837) Prec@5 75.000 (81.339) Epoch: [49][1270/10010] Time 0.338 (0.334) Data 0.001 (0.003) Loss 1.6453 (1.7637) Prec@1 58.594 (59.836) Prec@5 86.719 (81.334) Epoch: [49][1280/10010] Time 0.346 (0.334) Data 0.000 (0.003) Loss 1.8958 (1.7632) Prec@1 57.031 (59.848) Prec@5 79.688 (81.345) Epoch: [49][1290/10010] Time 0.323 (0.334) Data 0.000 (0.003) Loss 1.4751 (1.7630) Prec@1 67.188 (59.848) Prec@5 85.938 (81.351) Epoch: [49][1300/10010] Time 0.344 (0.334) Data 0.000 (0.003) Loss 2.0889 (1.7639) Prec@1 55.469 (59.834) Prec@5 75.000 (81.344) Epoch: [49][1310/10010] Time 0.347 (0.334) Data 0.000 (0.003) Loss 2.0151 (1.7645) Prec@1 54.688 (59.808) Prec@5 77.344 (81.329) Epoch: [49][1320/10010] Time 0.322 (0.334) Data 0.000 (0.003) Loss 1.8129 (1.7640) Prec@1 61.719 (59.819) Prec@5 80.469 (81.336) Epoch: [49][1330/10010] Time 0.320 (0.334) Data 0.000 (0.003) Loss 1.6870 (1.7646) Prec@1 61.719 (59.812) Prec@5 82.812 (81.332) Epoch: [49][1340/10010] Time 0.323 (0.334) Data 0.000 (0.003) Loss 1.6011 (1.7638) Prec@1 64.062 (59.819) Prec@5 83.594 (81.340) Epoch: [49][1350/10010] Time 0.343 (0.334) Data 0.000 (0.003) Loss 1.8103 (1.7643) Prec@1 57.031 (59.820) Prec@5 78.125 (81.327) Epoch: [49][1360/10010] Time 0.350 (0.334) Data 0.000 (0.002) Loss 1.5524 (1.7639) Prec@1 66.406 (59.834) Prec@5 81.250 (81.332) Epoch: [49][1370/10010] Time 0.330 (0.334) Data 0.001 (0.002) Loss 1.7560 (1.7635) Prec@1 55.469 (59.847) Prec@5 82.031 (81.341) Epoch: [49][1380/10010] Time 0.330 (0.334) Data 0.000 (0.002) Loss 1.7580 (1.7635) Prec@1 58.594 (59.841) Prec@5 85.156 (81.342) Epoch: [49][1390/10010] Time 0.349 (0.334) Data 0.001 (0.002) Loss 1.6280 (1.7633) Prec@1 65.625 (59.846) Prec@5 80.469 (81.342) Epoch: [49][1400/10010] Time 0.326 (0.334) Data 0.001 (0.002) Loss 1.7894 (1.7623) Prec@1 62.500 (59.861) Prec@5 80.469 (81.356) Epoch: [49][1410/10010] Time 0.344 (0.334) Data 0.001 (0.002) Loss 1.9821 (1.7624) Prec@1 57.031 (59.856) Prec@5 75.781 (81.357) Epoch: [49][1420/10010] Time 0.330 (0.334) Data 0.000 (0.002) Loss 1.6944 (1.7625) Prec@1 58.594 (59.854) Prec@5 82.812 (81.356) Epoch: [49][1430/10010] Time 0.320 (0.334) Data 0.001 (0.002) Loss 1.7386 (1.7623) Prec@1 58.594 (59.848) Prec@5 82.031 (81.367) Epoch: [49][1440/10010] Time 0.344 (0.334) Data 0.001 (0.002) Loss 1.6630 (1.7626) Prec@1 64.062 (59.843) Prec@5 83.594 (81.371) Epoch: [49][1450/10010] Time 0.343 (0.334) Data 0.001 (0.002) Loss 1.8811 (1.7621) Prec@1 57.031 (59.860) Prec@5 81.250 (81.375) Epoch: [49][1460/10010] Time 0.313 (0.334) Data 0.001 (0.002) Loss 2.0342 (1.7625) Prec@1 57.812 (59.855) Prec@5 75.781 (81.366) Epoch: [49][1470/10010] Time 0.340 (0.334) Data 0.000 (0.002) Loss 1.7069 (1.7620) Prec@1 64.062 (59.864) Prec@5 81.250 (81.367) Epoch: [49][1480/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 1.9187 (1.7620) Prec@1 59.375 (59.869) Prec@5 79.688 (81.369) Epoch: [49][1490/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 1.6492 (1.7620) Prec@1 61.719 (59.867) Prec@5 81.250 (81.376) Epoch: [49][1500/10010] Time 0.337 (0.334) Data 0.000 (0.002) Loss 1.6564 (1.7620) Prec@1 60.156 (59.857) Prec@5 83.594 (81.370) Epoch: [49][1510/10010] Time 0.334 (0.334) Data 0.001 (0.002) Loss 1.8543 (1.7623) Prec@1 59.375 (59.852) Prec@5 82.812 (81.366) Epoch: [49][1520/10010] Time 0.329 (0.334) Data 0.001 (0.002) Loss 1.6988 (1.7623) Prec@1 55.469 (59.837) Prec@5 82.031 (81.367) Epoch: [49][1530/10010] Time 0.337 (0.334) Data 0.000 (0.002) Loss 1.6794 (1.7631) Prec@1 60.938 (59.820) Prec@5 82.812 (81.358) Epoch: [49][1540/10010] Time 0.344 (0.334) Data 0.000 (0.002) Loss 1.7632 (1.7629) Prec@1 57.031 (59.814) Prec@5 80.469 (81.358) Epoch: [49][1550/10010] Time 0.335 (0.334) Data 0.000 (0.002) Loss 1.9384 (1.7636) Prec@1 52.344 (59.808) Prec@5 79.688 (81.342) Epoch: [49][1560/10010] Time 0.331 (0.334) Data 0.001 (0.002) Loss 1.4729 (1.7635) Prec@1 66.406 (59.813) Prec@5 89.844 (81.343) Epoch: [49][1570/10010] Time 0.319 (0.334) Data 0.001 (0.002) Loss 1.7744 (1.7637) Prec@1 56.250 (59.806) Prec@5 75.000 (81.340) Epoch: [49][1580/10010] Time 0.316 (0.334) Data 0.001 (0.002) Loss 1.9241 (1.7642) Prec@1 57.031 (59.793) Prec@5 79.688 (81.332) Epoch: [49][1590/10010] Time 0.325 (0.334) Data 0.001 (0.002) Loss 1.7914 (1.7643) Prec@1 59.375 (59.797) Prec@5 82.031 (81.332) Epoch: [49][1600/10010] Time 0.332 (0.334) Data 0.000 (0.002) Loss 2.0963 (1.7637) Prec@1 52.344 (59.803) Prec@5 77.344 (81.341) Epoch: [49][1610/10010] Time 0.347 (0.334) Data 0.000 (0.002) Loss 1.9319 (1.7630) Prec@1 53.906 (59.814) Prec@5 80.469 (81.351) Epoch: [49][1620/10010] Time 0.316 (0.334) Data 0.001 (0.002) Loss 1.8854 (1.7630) Prec@1 58.594 (59.818) Prec@5 79.688 (81.353) Epoch: [49][1630/10010] Time 0.326 (0.334) Data 0.000 (0.002) Loss 1.8123 (1.7633) Prec@1 58.594 (59.810) Prec@5 80.469 (81.354) Epoch: [49][1640/10010] Time 0.337 (0.334) Data 0.001 (0.002) Loss 1.5338 (1.7634) Prec@1 63.281 (59.808) Prec@5 89.062 (81.358) Epoch: [49][1650/10010] Time 0.328 (0.334) Data 0.001 (0.002) Loss 1.7619 (1.7635) Prec@1 64.844 (59.809) Prec@5 79.688 (81.354) Epoch: [49][1660/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 2.0574 (1.7642) Prec@1 53.906 (59.801) Prec@5 76.562 (81.348) Epoch: [49][1670/10010] Time 0.343 (0.334) Data 0.000 (0.002) Loss 1.7684 (1.7645) Prec@1 66.406 (59.804) Prec@5 83.594 (81.344) Epoch: [49][1680/10010] Time 0.334 (0.334) Data 0.000 (0.002) Loss 1.7411 (1.7644) Prec@1 59.375 (59.807) Prec@5 80.469 (81.342) Epoch: [49][1690/10010] Time 0.323 (0.334) Data 0.001 (0.002) Loss 1.4851 (1.7642) Prec@1 63.281 (59.807) Prec@5 84.375 (81.343) Epoch: [49][1700/10010] Time 0.338 (0.334) Data 0.001 (0.002) Loss 1.7065 (1.7644) Prec@1 65.625 (59.813) Prec@5 79.688 (81.338) Epoch: [49][1710/10010] Time 0.327 (0.334) Data 0.001 (0.002) Loss 1.7618 (1.7645) Prec@1 57.812 (59.811) Prec@5 82.812 (81.338) Epoch: [49][1720/10010] Time 0.322 (0.334) Data 0.001 (0.002) Loss 1.8279 (1.7654) Prec@1 59.375 (59.796) Prec@5 79.688 (81.328) Epoch: [49][1730/10010] Time 0.323 (0.334) Data 0.000 (0.002) Loss 2.0006 (1.7657) Prec@1 57.031 (59.781) Prec@5 74.219 (81.319) Epoch: [49][1740/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.8071 (1.7658) Prec@1 55.469 (59.778) Prec@5 80.469 (81.316) Epoch: [49][1750/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.8355 (1.7657) Prec@1 58.594 (59.774) Prec@5 80.469 (81.328) Epoch: [49][1760/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 1.9059 (1.7656) Prec@1 54.688 (59.767) Prec@5 81.250 (81.331) Epoch: [49][1770/10010] Time 0.340 (0.333) Data 0.001 (0.002) Loss 1.8161 (1.7655) Prec@1 57.031 (59.767) Prec@5 77.344 (81.338) Epoch: [49][1780/10010] Time 0.341 (0.333) Data 0.002 (0.002) Loss 1.7672 (1.7662) Prec@1 60.156 (59.755) Prec@5 79.688 (81.323) Epoch: [49][1790/10010] Time 0.318 (0.333) Data 0.000 (0.002) Loss 2.1091 (1.7661) Prec@1 50.000 (59.757) Prec@5 78.125 (81.322) Epoch: [49][1800/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.7740 (1.7662) Prec@1 56.250 (59.757) Prec@5 78.906 (81.319) Epoch: [49][1810/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.7801 (1.7660) Prec@1 60.156 (59.759) Prec@5 82.031 (81.318) Epoch: [49][1820/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 1.7775 (1.7656) Prec@1 60.156 (59.768) Prec@5 82.031 (81.326) Epoch: [49][1830/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.7557 (1.7657) Prec@1 59.375 (59.772) Prec@5 79.688 (81.328) Epoch: [49][1840/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 1.8992 (1.7657) Prec@1 53.125 (59.771) Prec@5 80.469 (81.328) Epoch: [49][1850/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 1.8316 (1.7657) Prec@1 57.812 (59.770) Prec@5 81.250 (81.335) Epoch: [49][1860/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 1.6428 (1.7657) Prec@1 61.719 (59.770) Prec@5 83.594 (81.332) Epoch: [49][1870/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.5591 (1.7653) Prec@1 60.938 (59.775) Prec@5 84.375 (81.338) Epoch: [49][1880/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 1.9371 (1.7655) Prec@1 54.688 (59.780) Prec@5 78.906 (81.329) Epoch: [49][1890/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 1.7088 (1.7651) Prec@1 59.375 (59.792) Prec@5 82.031 (81.336) Epoch: [49][1900/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 1.4979 (1.7651) Prec@1 62.500 (59.792) Prec@5 87.500 (81.333) Epoch: [49][1910/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.8315 (1.7651) Prec@1 54.688 (59.798) Prec@5 82.031 (81.336) Epoch: [49][1920/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 2.0384 (1.7645) Prec@1 54.688 (59.811) Prec@5 79.688 (81.352) Epoch: [49][1930/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 1.5219 (1.7641) Prec@1 67.969 (59.824) Prec@5 84.375 (81.359) Epoch: [49][1940/10010] Time 0.314 (0.333) Data 0.001 (0.002) Loss 1.9555 (1.7644) Prec@1 54.688 (59.818) Prec@5 78.125 (81.358) Epoch: [49][1950/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 1.6735 (1.7644) Prec@1 62.500 (59.823) Prec@5 82.812 (81.361) Epoch: [49][1960/10010] Time 0.325 (0.333) Data 0.000 (0.002) Loss 1.7447 (1.7644) Prec@1 60.156 (59.817) Prec@5 81.250 (81.360) Epoch: [49][1970/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.9333 (1.7650) Prec@1 56.250 (59.805) Prec@5 76.562 (81.348) Epoch: [49][1980/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 1.9332 (1.7645) Prec@1 55.469 (59.814) Prec@5 77.344 (81.355) Epoch: [49][1990/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.6731 (1.7647) Prec@1 63.281 (59.810) Prec@5 85.156 (81.351) Epoch: [49][2000/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.6639 (1.7647) Prec@1 60.938 (59.806) Prec@5 84.375 (81.354) Epoch: [49][2010/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 2.0407 (1.7650) Prec@1 57.031 (59.804) Prec@5 74.219 (81.346) Epoch: [49][2020/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.7652 (1.7649) Prec@1 57.812 (59.806) Prec@5 86.719 (81.354) Epoch: [49][2030/10010] Time 0.326 (0.333) Data 0.000 (0.002) Loss 1.8690 (1.7651) Prec@1 59.375 (59.800) Prec@5 79.688 (81.350) Epoch: [49][2040/10010] Time 0.335 (0.333) Data 0.001 (0.002) Loss 1.9031 (1.7655) Prec@1 60.156 (59.788) Prec@5 74.219 (81.338) Epoch: [49][2050/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.9121 (1.7658) Prec@1 57.812 (59.782) Prec@5 75.000 (81.338) Epoch: [49][2060/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.8670 (1.7664) Prec@1 54.688 (59.770) Prec@5 79.688 (81.325) Epoch: [49][2070/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 1.9168 (1.7670) Prec@1 59.375 (59.762) Prec@5 80.469 (81.316) Epoch: [49][2080/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 1.5063 (1.7667) Prec@1 60.938 (59.763) Prec@5 84.375 (81.324) Epoch: [49][2090/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.5611 (1.7670) Prec@1 60.938 (59.763) Prec@5 83.594 (81.319) Epoch: [49][2100/10010] Time 0.321 (0.333) Data 0.001 (0.002) Loss 1.6925 (1.7667) Prec@1 61.719 (59.767) Prec@5 82.031 (81.330) Epoch: [49][2110/10010] Time 0.343 (0.333) Data 0.001 (0.002) Loss 1.4986 (1.7669) Prec@1 62.500 (59.758) Prec@5 84.375 (81.327) Epoch: [49][2120/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 2.0142 (1.7668) Prec@1 58.594 (59.768) Prec@5 78.906 (81.330) Epoch: [49][2130/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 1.7923 (1.7663) Prec@1 60.156 (59.771) Prec@5 78.906 (81.337) Epoch: [49][2140/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.6711 (1.7660) Prec@1 60.156 (59.776) Prec@5 85.156 (81.346) Epoch: [49][2150/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.9948 (1.7662) Prec@1 58.594 (59.777) Prec@5 78.906 (81.348) Epoch: [49][2160/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.5944 (1.7666) Prec@1 54.688 (59.769) Prec@5 85.156 (81.339) Epoch: [49][2170/10010] Time 0.322 (0.333) Data 0.000 (0.002) Loss 1.8641 (1.7668) Prec@1 55.469 (59.763) Prec@5 82.812 (81.338) Epoch: [49][2180/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 1.7327 (1.7667) Prec@1 60.938 (59.774) Prec@5 81.250 (81.339) Epoch: [49][2190/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 1.8768 (1.7669) Prec@1 58.594 (59.776) Prec@5 79.688 (81.336) Epoch: [49][2200/10010] Time 0.342 (0.333) Data 0.001 (0.002) Loss 1.5688 (1.7662) Prec@1 65.625 (59.787) Prec@5 83.594 (81.342) Epoch: [49][2210/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.7230 (1.7663) Prec@1 59.375 (59.784) Prec@5 82.812 (81.341) Epoch: [49][2220/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 1.4281 (1.7659) Prec@1 69.531 (59.793) Prec@5 82.812 (81.344) Epoch: [49][2230/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.6500 (1.7656) Prec@1 60.938 (59.798) Prec@5 82.812 (81.348) Epoch: [49][2240/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.8877 (1.7656) Prec@1 58.594 (59.797) Prec@5 77.344 (81.343) Epoch: [49][2250/10010] Time 0.323 (0.333) Data 0.000 (0.002) Loss 1.8153 (1.7656) Prec@1 60.938 (59.792) Prec@5 80.469 (81.349) Epoch: [49][2260/10010] Time 0.328 (0.333) Data 0.000 (0.002) Loss 1.5533 (1.7657) Prec@1 64.844 (59.789) Prec@5 86.719 (81.344) Epoch: [49][2270/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 1.6038 (1.7658) Prec@1 63.281 (59.790) Prec@5 84.375 (81.342) Epoch: [49][2280/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 1.8139 (1.7658) Prec@1 59.375 (59.790) Prec@5 80.469 (81.343) Epoch: [49][2290/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 2.0629 (1.7659) Prec@1 50.781 (59.795) Prec@5 80.469 (81.344) Epoch: [49][2300/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.8451 (1.7658) Prec@1 55.469 (59.793) Prec@5 77.344 (81.343) Epoch: [49][2310/10010] Time 0.344 (0.333) Data 0.001 (0.002) Loss 1.8641 (1.7656) Prec@1 58.594 (59.795) Prec@5 75.781 (81.346) Epoch: [49][2320/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 1.7462 (1.7656) Prec@1 61.719 (59.791) Prec@5 83.594 (81.348) Epoch: [49][2330/10010] Time 0.328 (0.333) Data 0.001 (0.002) Loss 1.9556 (1.7655) Prec@1 57.031 (59.798) Prec@5 78.906 (81.349) Epoch: [49][2340/10010] Time 0.315 (0.333) Data 0.001 (0.002) Loss 2.3203 (1.7657) Prec@1 49.219 (59.795) Prec@5 75.781 (81.349) Epoch: [49][2350/10010] Time 0.341 (0.333) Data 0.001 (0.002) Loss 1.6968 (1.7656) Prec@1 55.469 (59.792) Prec@5 85.156 (81.354) Epoch: [49][2360/10010] Time 0.332 (0.333) Data 0.000 (0.002) Loss 2.0098 (1.7660) Prec@1 53.906 (59.781) Prec@5 74.219 (81.344) Epoch: [49][2370/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 1.8628 (1.7663) Prec@1 61.719 (59.772) Prec@5 78.125 (81.338) Epoch: [49][2380/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 2.0484 (1.7667) Prec@1 53.125 (59.766) Prec@5 76.562 (81.332) Epoch: [49][2390/10010] Time 0.333 (0.333) Data 0.001 (0.002) Loss 1.7834 (1.7667) Prec@1 63.281 (59.771) Prec@5 80.469 (81.332) Epoch: [49][2400/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.7977 (1.7668) Prec@1 61.719 (59.764) Prec@5 78.906 (81.329) Epoch: [49][2410/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.4952 (1.7667) Prec@1 61.719 (59.764) Prec@5 87.500 (81.331) Epoch: [49][2420/10010] Time 0.329 (0.333) Data 0.000 (0.002) Loss 1.7726 (1.7670) Prec@1 53.906 (59.760) Prec@5 82.031 (81.326) Epoch: [49][2430/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 1.5718 (1.7666) Prec@1 67.188 (59.771) Prec@5 82.812 (81.329) Epoch: [49][2440/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.7492 (1.7663) Prec@1 57.812 (59.772) Prec@5 81.250 (81.333) Epoch: [49][2450/10010] Time 0.319 (0.333) Data 0.001 (0.002) Loss 1.5396 (1.7669) Prec@1 67.969 (59.762) Prec@5 82.031 (81.323) Epoch: [49][2460/10010] Time 0.325 (0.333) Data 0.001 (0.002) Loss 1.9462 (1.7671) Prec@1 59.375 (59.761) Prec@5 76.562 (81.315) Epoch: [49][2470/10010] Time 0.332 (0.333) Data 0.001 (0.002) Loss 1.8429 (1.7674) Prec@1 57.812 (59.753) Prec@5 80.469 (81.309) Epoch: [49][2480/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 1.8501 (1.7678) Prec@1 60.156 (59.750) Prec@5 81.250 (81.300) Epoch: [49][2490/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 1.4635 (1.7677) Prec@1 67.969 (59.752) Prec@5 85.156 (81.304) Epoch: [49][2500/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 1.8914 (1.7677) Prec@1 55.469 (59.748) Prec@5 83.594 (81.304) Epoch: [49][2510/10010] Time 0.345 (0.333) Data 0.000 (0.002) Loss 1.6490 (1.7679) Prec@1 59.375 (59.743) Prec@5 82.031 (81.305) Epoch: [49][2520/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.8719 (1.7677) Prec@1 57.031 (59.747) Prec@5 80.469 (81.306) Epoch: [49][2530/10010] Time 0.339 (0.333) Data 0.001 (0.002) Loss 1.6999 (1.7675) Prec@1 57.031 (59.745) Prec@5 83.594 (81.310) Epoch: [49][2540/10010] Time 0.321 (0.333) Data 0.000 (0.002) Loss 1.6583 (1.7673) Prec@1 66.406 (59.751) Prec@5 87.500 (81.313) Epoch: [49][2550/10010] Time 0.346 (0.333) Data 0.000 (0.002) Loss 1.7456 (1.7670) Prec@1 59.375 (59.761) Prec@5 83.594 (81.320) Epoch: [49][2560/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 2.0292 (1.7669) Prec@1 57.031 (59.766) Prec@5 73.438 (81.318) Epoch: [49][2570/10010] Time 0.317 (0.333) Data 0.000 (0.002) Loss 1.9795 (1.7672) Prec@1 53.906 (59.762) Prec@5 78.906 (81.311) Epoch: [49][2580/10010] Time 0.336 (0.333) Data 0.000 (0.002) Loss 2.0933 (1.7672) Prec@1 57.812 (59.765) Prec@5 73.438 (81.311) Epoch: [49][2590/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 1.8691 (1.7673) Prec@1 61.719 (59.768) Prec@5 75.000 (81.309) Epoch: [49][2600/10010] Time 0.334 (0.333) Data 0.001 (0.002) Loss 1.6474 (1.7674) Prec@1 60.938 (59.768) Prec@5 82.031 (81.309) Epoch: [49][2610/10010] Time 0.348 (0.333) Data 0.000 (0.002) Loss 1.8209 (1.7673) Prec@1 56.250 (59.763) Prec@5 79.688 (81.311) Epoch: [49][2620/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.7181 (1.7669) Prec@1 60.938 (59.772) Prec@5 80.469 (81.317) Epoch: [49][2630/10010] Time 0.331 (0.333) Data 0.001 (0.002) Loss 2.0919 (1.7668) Prec@1 53.125 (59.769) Prec@5 76.562 (81.319) Epoch: [49][2640/10010] Time 0.345 (0.333) Data 0.001 (0.002) Loss 1.9556 (1.7672) Prec@1 61.719 (59.760) Prec@5 79.688 (81.312) Epoch: [49][2650/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.6656 (1.7670) Prec@1 58.594 (59.764) Prec@5 84.375 (81.314) Epoch: [49][2660/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.9908 (1.7666) Prec@1 53.906 (59.770) Prec@5 78.906 (81.323) Epoch: [49][2670/10010] Time 0.338 (0.333) Data 0.000 (0.002) Loss 1.7292 (1.7667) Prec@1 64.844 (59.768) Prec@5 82.812 (81.322) Epoch: [49][2680/10010] Time 0.326 (0.333) Data 0.001 (0.002) Loss 1.6862 (1.7664) Prec@1 64.062 (59.773) Prec@5 83.594 (81.329) Epoch: [49][2690/10010] Time 0.327 (0.333) Data 0.000 (0.002) Loss 1.5241 (1.7663) Prec@1 62.500 (59.776) Prec@5 86.719 (81.330) Epoch: [49][2700/10010] Time 0.331 (0.333) Data 0.000 (0.002) Loss 2.1982 (1.7667) Prec@1 56.250 (59.764) Prec@5 75.000 (81.324) Epoch: [49][2710/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 2.0944 (1.7673) Prec@1 51.562 (59.755) Prec@5 79.688 (81.315) Epoch: [49][2720/10010] Time 0.330 (0.333) Data 0.001 (0.002) Loss 2.2624 (1.7676) Prec@1 52.344 (59.746) Prec@5 71.094 (81.307) /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][2730/10010] Time 0.341 (0.333) Data 0.000 (0.002) Loss 1.6003 (1.7675) Prec@1 61.719 (59.753) Prec@5 85.156 (81.310) Epoch: [49][2740/10010] Time 0.337 (0.333) Data 0.000 (0.002) Loss 1.9953 (1.7676) Prec@1 56.250 (59.750) Prec@5 75.000 (81.308) Epoch: [49][2750/10010] Time 0.340 (0.333) Data 0.000 (0.002) Loss 1.5996 (1.7675) Prec@1 64.062 (59.754) Prec@5 81.250 (81.310) Epoch: [49][2760/10010] Time 0.333 (0.333) Data 0.000 (0.002) Loss 1.5883 (1.7673) Prec@1 57.812 (59.759) Prec@5 83.594 (81.312) Epoch: [49][2770/10010] Time 0.329 (0.333) Data 0.001 (0.002) Loss 1.6393 (1.7672) Prec@1 64.062 (59.763) Prec@5 84.375 (81.316) Epoch: [49][2780/10010] Time 0.339 (0.333) Data 0.000 (0.002) Loss 1.6145 (1.7669) Prec@1 65.625 (59.768) Prec@5 83.594 (81.323) Epoch: [49][2790/10010] Time 0.324 (0.333) Data 0.001 (0.002) Loss 1.9776 (1.7669) Prec@1 59.375 (59.767) Prec@5 77.344 (81.325) Epoch: [49][2800/10010] Time 0.338 (0.333) Data 0.001 (0.002) Loss 1.7838 (1.7670) Prec@1 64.062 (59.764) Prec@5 78.906 (81.323) Epoch: [49][2810/10010] Time 0.337 (0.333) Data 0.001 (0.002) Loss 1.8752 (1.7670) Prec@1 58.594 (59.758) Prec@5 78.906 (81.317) Epoch: [49][2820/10010] Time 0.319 (0.333) Data 0.000 (0.002) Loss 1.6329 (1.7669) Prec@1 59.375 (59.762) Prec@5 82.812 (81.320) Epoch: [49][2830/10010] Time 0.330 (0.333) Data 0.000 (0.002) Loss 1.7223 (1.7670) Prec@1 64.844 (59.758) Prec@5 83.594 (81.321) Epoch: [49][2840/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.6530 (1.7669) Prec@1 59.375 (59.761) Prec@5 85.938 (81.324) Epoch: [49][2850/10010] Time 0.323 (0.333) Data 0.001 (0.002) Loss 1.5977 (1.7669) Prec@1 63.281 (59.763) Prec@5 83.594 (81.325) Epoch: [49][2860/10010] Time 0.318 (0.333) Data 0.001 (0.002) Loss 1.8946 (1.7670) Prec@1 55.469 (59.767) Prec@5 77.344 (81.319) Epoch: [49][2870/10010] Time 0.327 (0.333) Data 0.001 (0.002) Loss 1.7289 (1.7670) Prec@1 60.938 (59.769) Prec@5 82.031 (81.319) Epoch: [49][2880/10010] Time 0.324 (0.333) Data 0.000 (0.001) Loss 1.6994 (1.7668) Prec@1 61.719 (59.775) Prec@5 80.469 (81.320) Epoch: [49][2890/10010] Time 0.338 (0.333) Data 0.001 (0.001) Loss 2.1331 (1.7665) Prec@1 59.375 (59.784) Prec@5 77.344 (81.324) Epoch: [49][2900/10010] Time 0.345 (0.333) Data 0.001 (0.001) Loss 1.8430 (1.7667) Prec@1 56.250 (59.775) Prec@5 79.688 (81.321) Epoch: [49][2910/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 2.0466 (1.7667) Prec@1 53.125 (59.780) Prec@5 78.906 (81.322) Epoch: [49][2920/10010] Time 0.337 (0.333) Data 0.001 (0.001) Loss 1.5739 (1.7666) Prec@1 59.375 (59.783) Prec@5 82.031 (81.326) Epoch: [49][2930/10010] Time 0.319 (0.333) Data 0.001 (0.001) Loss 1.6454 (1.7669) Prec@1 60.156 (59.779) Prec@5 83.594 (81.318) Epoch: [49][2940/10010] Time 0.327 (0.333) Data 0.001 (0.001) Loss 2.0614 (1.7671) Prec@1 49.219 (59.772) Prec@5 75.781 (81.313) Epoch: [49][2950/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 1.6703 (1.7672) Prec@1 64.062 (59.771) Prec@5 77.344 (81.310) Epoch: [49][2960/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 1.7024 (1.7672) Prec@1 60.156 (59.769) Prec@5 83.594 (81.310) Epoch: [49][2970/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 1.8736 (1.7672) Prec@1 58.594 (59.768) Prec@5 75.781 (81.307) Epoch: [49][2980/10010] Time 0.339 (0.333) Data 0.000 (0.001) Loss 1.4997 (1.7671) Prec@1 69.531 (59.774) Prec@5 86.719 (81.308) Epoch: [49][2990/10010] Time 0.338 (0.333) Data 0.000 (0.001) Loss 1.8166 (1.7671) Prec@1 57.812 (59.775) Prec@5 80.469 (81.309) Epoch: [49][3000/10010] Time 0.331 (0.333) Data 0.000 (0.001) Loss 1.6674 (1.7672) Prec@1 58.594 (59.769) Prec@5 81.250 (81.303) Epoch: [49][3010/10010] Time 0.335 (0.333) Data 0.001 (0.001) Loss 1.6693 (1.7673) Prec@1 56.250 (59.769) Prec@5 85.938 (81.307) Epoch: [49][3020/10010] Time 0.318 (0.333) Data 0.001 (0.001) Loss 1.6360 (1.7677) Prec@1 64.062 (59.765) Prec@5 79.688 (81.298) Epoch: [49][3030/10010] Time 0.330 (0.333) Data 0.000 (0.001) Loss 1.9300 (1.7680) Prec@1 52.344 (59.760) Prec@5 83.594 (81.293) Epoch: [49][3040/10010] Time 0.333 (0.333) Data 0.000 (0.001) Loss 1.7786 (1.7682) Prec@1 57.812 (59.755) Prec@5 82.031 (81.288) /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][3050/10010] Time 0.335 (0.333) Data 0.000 (0.001) Loss 1.4707 (1.7682) Prec@1 63.281 (59.753) Prec@5 86.719 (81.287) Epoch: [49][3060/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 1.8520 (1.7680) Prec@1 55.469 (59.759) Prec@5 81.250 (81.290) Epoch: [49][3070/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.6838 (1.7679) Prec@1 56.250 (59.754) Prec@5 82.812 (81.290) Epoch: [49][3080/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.7324 (1.7683) Prec@1 64.844 (59.755) Prec@5 80.469 (81.289) Epoch: [49][3090/10010] Time 0.325 (0.333) Data 0.001 (0.001) Loss 1.6555 (1.7680) Prec@1 61.719 (59.761) Prec@5 78.906 (81.295) Epoch: [49][3100/10010] Time 0.342 (0.333) Data 0.000 (0.001) Loss 1.5272 (1.7678) Prec@1 64.062 (59.760) Prec@5 84.375 (81.296) Epoch: [49][3110/10010] Time 0.347 (0.333) Data 0.000 (0.001) Loss 1.7927 (1.7676) Prec@1 60.156 (59.762) Prec@5 83.594 (81.301) Epoch: [49][3120/10010] Time 0.319 (0.333) Data 0.000 (0.001) Loss 1.8487 (1.7677) Prec@1 58.594 (59.761) Prec@5 83.594 (81.301) Epoch: [49][3130/10010] Time 0.340 (0.333) Data 0.001 (0.001) Loss 1.8680 (1.7678) Prec@1 60.156 (59.762) Prec@5 80.469 (81.299) Epoch: [49][3140/10010] Time 0.332 (0.333) Data 0.000 (0.001) Loss 1.6237 (1.7677) Prec@1 64.062 (59.764) Prec@5 83.594 (81.299) Epoch: [49][3150/10010] Time 0.337 (0.333) Data 0.000 (0.001) Loss 1.8205 (1.7679) Prec@1 56.250 (59.760) Prec@5 78.906 (81.296) Epoch: [49][3160/10010] Time 0.315 (0.333) Data 0.001 (0.001) Loss 1.5899 (1.7678) Prec@1 60.156 (59.761) Prec@5 82.031 (81.296) Epoch: [49][3170/10010] Time 0.347 (0.333) Data 0.001 (0.001) Loss 1.8144 (1.7679) Prec@1 60.938 (59.762) Prec@5 81.250 (81.296) Epoch: [49][3180/10010] Time 0.328 (0.333) Data 0.000 (0.001) Loss 1.6218 (1.7678) Prec@1 59.375 (59.764) Prec@5 80.469 (81.295) Epoch: [49][3190/10010] Time 0.322 (0.333) Data 0.000 (0.001) Loss 1.9895 (1.7679) Prec@1 53.125 (59.764) Prec@5 82.031 (81.298) Epoch: [49][3200/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.6049 (1.7679) Prec@1 58.594 (59.765) Prec@5 81.250 (81.295) Epoch: [49][3210/10010] Time 0.329 (0.333) Data 0.000 (0.001) Loss 1.7524 (1.7679) Prec@1 59.375 (59.765) Prec@5 82.031 (81.297) Epoch: [49][3220/10010] Time 0.341 (0.333) Data 0.001 (0.001) Loss 1.7670 (1.7678) Prec@1 58.594 (59.769) Prec@5 82.812 (81.303) Epoch: [49][3230/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 1.7567 (1.7678) Prec@1 55.469 (59.765) Prec@5 83.594 (81.305) Epoch: [49][3240/10010] Time 0.336 (0.333) Data 0.001 (0.001) Loss 1.6976 (1.7679) Prec@1 58.594 (59.757) Prec@5 85.156 (81.306) Epoch: [49][3250/10010] Time 0.327 (0.333) Data 0.000 (0.001) Loss 1.6633 (1.7682) Prec@1 63.281 (59.754) Prec@5 80.469 (81.302) Epoch: [49][3260/10010] Time 0.321 (0.333) Data 0.000 (0.001) Loss 1.7165 (1.7680) Prec@1 59.375 (59.754) Prec@5 76.562 (81.302) Epoch: [49][3270/10010] Time 0.340 (0.333) Data 0.000 (0.001) Loss 1.5950 (1.7683) Prec@1 64.062 (59.746) Prec@5 84.375 (81.300) Epoch: [49][3280/10010] Time 0.332 (0.333) Data 0.001 (0.001) Loss 1.8403 (1.7683) Prec@1 56.250 (59.741) Prec@5 84.375 (81.299) Epoch: [49][3290/10010] Time 0.343 (0.333) Data 0.000 (0.001) Loss 1.9377 (1.7683) Prec@1 59.375 (59.744) Prec@5 78.906 (81.300) Epoch: [49][3300/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0713 (1.7688) Prec@1 59.375 (59.733) Prec@5 75.000 (81.293) Epoch: [49][3310/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.0028 (1.7688) Prec@1 57.031 (59.728) Prec@5 77.344 (81.292) Epoch: [49][3320/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0463 (1.7689) Prec@1 59.375 (59.728) Prec@5 75.000 (81.290) Epoch: [49][3330/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.4942 (1.7689) Prec@1 59.375 (59.728) Prec@5 85.938 (81.293) Epoch: [49][3340/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7607 (1.7689) Prec@1 60.156 (59.731) Prec@5 83.594 (81.296) Epoch: [49][3350/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7767 (1.7692) Prec@1 60.156 (59.724) Prec@5 81.250 (81.291) Epoch: [49][3360/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.4737 (1.7691) Prec@1 65.625 (59.723) Prec@5 85.938 (81.296) Epoch: [49][3370/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.9148 (1.7691) Prec@1 56.250 (59.723) Prec@5 79.688 (81.295) Epoch: [49][3380/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9706 (1.7693) Prec@1 52.344 (59.715) Prec@5 76.562 (81.290) Epoch: [49][3390/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 2.0525 (1.7697) Prec@1 57.812 (59.705) Prec@5 79.688 (81.282) Epoch: [49][3400/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.5871 (1.7701) Prec@1 64.062 (59.702) Prec@5 85.938 (81.277) Epoch: [49][3410/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8082 (1.7700) Prec@1 57.031 (59.703) Prec@5 78.906 (81.279) Epoch: [49][3420/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7028 (1.7701) Prec@1 54.688 (59.702) Prec@5 82.812 (81.278) Epoch: [49][3430/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8446 (1.7702) Prec@1 57.031 (59.698) Prec@5 80.469 (81.277) Epoch: [49][3440/10010] Time 0.345 (0.332) Data 0.001 (0.001) Loss 1.7015 (1.7702) Prec@1 60.156 (59.698) Prec@5 82.031 (81.277) Epoch: [49][3450/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9794 (1.7702) Prec@1 59.375 (59.696) Prec@5 73.438 (81.276) Epoch: [49][3460/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.5782 (1.7705) Prec@1 63.281 (59.690) Prec@5 82.031 (81.273) Epoch: [49][3470/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.2179 (1.7706) Prec@1 54.688 (59.690) Prec@5 76.562 (81.271) Epoch: [49][3480/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.5636 (1.7706) Prec@1 61.719 (59.689) Prec@5 83.594 (81.272) Epoch: [49][3490/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.9205 (1.7709) Prec@1 55.469 (59.686) Prec@5 76.562 (81.269) Epoch: [49][3500/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6714 (1.7714) Prec@1 60.938 (59.679) Prec@5 83.594 (81.260) Epoch: [49][3510/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7366 (1.7712) Prec@1 60.156 (59.681) Prec@5 77.344 (81.263) Epoch: [49][3520/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9064 (1.7711) Prec@1 56.250 (59.677) Prec@5 78.125 (81.264) Epoch: [49][3530/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8592 (1.7714) Prec@1 57.812 (59.675) Prec@5 82.031 (81.260) Epoch: [49][3540/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7975 (1.7716) Prec@1 59.375 (59.673) Prec@5 82.812 (81.256) Epoch: [49][3550/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9154 (1.7716) Prec@1 60.938 (59.675) Prec@5 79.688 (81.256) Epoch: [49][3560/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8925 (1.7718) Prec@1 54.688 (59.673) Prec@5 78.906 (81.257) Epoch: [49][3570/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.5723 (1.7719) Prec@1 63.281 (59.670) Prec@5 82.031 (81.255) Epoch: [49][3580/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.5775 (1.7720) Prec@1 58.594 (59.669) Prec@5 84.375 (81.253) Epoch: [49][3590/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.8138 (1.7720) Prec@1 56.250 (59.672) Prec@5 80.469 (81.252) Epoch: [49][3600/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8432 (1.7720) Prec@1 56.250 (59.673) Prec@5 79.688 (81.254) Epoch: [49][3610/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.5497 (1.7718) Prec@1 67.188 (59.671) Prec@5 86.719 (81.258) Epoch: [49][3620/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9132 (1.7719) Prec@1 51.562 (59.666) Prec@5 81.250 (81.258) /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][3630/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.7493 (1.7722) Prec@1 60.156 (59.659) Prec@5 83.594 (81.253) Epoch: [49][3640/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9555 (1.7721) Prec@1 53.906 (59.654) Prec@5 78.906 (81.254) Epoch: [49][3650/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.7540 (1.7718) Prec@1 60.938 (59.658) Prec@5 83.594 (81.263) Epoch: [49][3660/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.9111 (1.7721) Prec@1 58.594 (59.655) Prec@5 78.906 (81.259) Epoch: [49][3670/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 2.0250 (1.7721) Prec@1 55.469 (59.655) Prec@5 78.125 (81.261) Epoch: [49][3680/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.8741 (1.7722) Prec@1 57.812 (59.651) Prec@5 81.250 (81.259) Epoch: [49][3690/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.6652 (1.7722) Prec@1 62.500 (59.648) Prec@5 82.031 (81.262) Epoch: [49][3700/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.9275 (1.7722) Prec@1 56.250 (59.644) Prec@5 78.906 (81.261) Epoch: [49][3710/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.7050 (1.7722) Prec@1 58.594 (59.647) Prec@5 79.688 (81.262) Epoch: [49][3720/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.6316 (1.7721) Prec@1 64.062 (59.650) Prec@5 82.031 (81.263) Epoch: [49][3730/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5317 (1.7719) Prec@1 60.938 (59.652) Prec@5 85.938 (81.266) Epoch: [49][3740/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6330 (1.7720) Prec@1 64.062 (59.650) Prec@5 84.375 (81.262) Epoch: [49][3750/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6771 (1.7719) Prec@1 64.062 (59.655) Prec@5 81.250 (81.263) Epoch: [49][3760/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9764 (1.7720) Prec@1 59.375 (59.655) Prec@5 76.562 (81.260) Epoch: [49][3770/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.6240 (1.7718) Prec@1 61.719 (59.656) Prec@5 81.250 (81.260) Epoch: [49][3780/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5508 (1.7718) Prec@1 64.844 (59.654) Prec@5 83.594 (81.262) Epoch: [49][3790/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7695 (1.7717) Prec@1 59.375 (59.653) Prec@5 82.031 (81.261) Epoch: [49][3800/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.4696 (1.7717) Prec@1 64.844 (59.652) Prec@5 85.938 (81.262) Epoch: [49][3810/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.5195 (1.7719) Prec@1 63.281 (59.647) Prec@5 84.375 (81.260) Epoch: [49][3820/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.4654 (1.7716) Prec@1 67.969 (59.647) Prec@5 85.156 (81.261) Epoch: [49][3830/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6830 (1.7717) Prec@1 59.375 (59.646) Prec@5 85.938 (81.260) Epoch: [49][3840/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6514 (1.7715) Prec@1 62.500 (59.649) Prec@5 85.156 (81.263) Epoch: [49][3850/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7639 (1.7717) Prec@1 53.906 (59.642) Prec@5 79.688 (81.259) Epoch: [49][3860/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9767 (1.7717) Prec@1 56.250 (59.641) Prec@5 78.125 (81.259) Epoch: [49][3870/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8851 (1.7721) Prec@1 56.250 (59.634) Prec@5 78.125 (81.252) Epoch: [49][3880/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.7194 (1.7720) Prec@1 62.500 (59.636) Prec@5 80.469 (81.254) Epoch: [49][3890/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6679 (1.7720) Prec@1 60.156 (59.638) Prec@5 82.812 (81.253) Epoch: [49][3900/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.5231 (1.7720) Prec@1 64.844 (59.636) Prec@5 83.594 (81.252) Epoch: [49][3910/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.9009 (1.7722) Prec@1 59.375 (59.631) Prec@5 77.344 (81.249) Epoch: [49][3920/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6239 (1.7721) Prec@1 60.156 (59.633) Prec@5 82.031 (81.251) Epoch: [49][3930/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6048 (1.7722) Prec@1 57.812 (59.629) Prec@5 83.594 (81.249) Epoch: [49][3940/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.0030 (1.7725) Prec@1 54.688 (59.623) Prec@5 76.562 (81.242) Epoch: [49][3950/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.7225 (1.7725) Prec@1 60.938 (59.622) Prec@5 82.812 (81.240) Epoch: [49][3960/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.4962 (1.7724) Prec@1 68.750 (59.626) Prec@5 84.375 (81.242) Epoch: [49][3970/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.0443 (1.7725) Prec@1 54.688 (59.621) Prec@5 77.344 (81.242) Epoch: [49][3980/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.6334 (1.7724) Prec@1 64.844 (59.619) Prec@5 82.031 (81.243) Epoch: [49][3990/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.6453 (1.7723) Prec@1 59.375 (59.621) Prec@5 82.031 (81.246) Epoch: [49][4000/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.1393 (1.7725) Prec@1 57.812 (59.618) Prec@5 75.781 (81.245) Epoch: [49][4010/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 2.0046 (1.7726) Prec@1 53.125 (59.616) Prec@5 78.906 (81.245) Epoch: [49][4020/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.4889 (1.7725) Prec@1 62.500 (59.622) Prec@5 83.594 (81.246) Epoch: [49][4030/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8721 (1.7726) Prec@1 60.938 (59.620) Prec@5 78.125 (81.241) Epoch: [49][4040/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9158 (1.7728) Prec@1 53.906 (59.616) Prec@5 81.250 (81.241) Epoch: [49][4050/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6460 (1.7731) Prec@1 63.281 (59.613) Prec@5 85.156 (81.237) Epoch: [49][4060/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.4785 (1.7730) Prec@1 61.719 (59.614) Prec@5 82.812 (81.235) Epoch: [49][4070/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.9903 (1.7731) Prec@1 54.688 (59.611) Prec@5 77.344 (81.235) Epoch: [49][4080/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.3686 (1.7728) Prec@1 68.750 (59.615) Prec@5 87.500 (81.239) /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][4090/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.9184 (1.7730) Prec@1 54.688 (59.608) Prec@5 82.812 (81.236) Epoch: [49][4100/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.7862 (1.7731) Prec@1 59.375 (59.604) Prec@5 82.031 (81.238) Epoch: [49][4110/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.9443 (1.7732) Prec@1 55.469 (59.599) Prec@5 77.344 (81.237) Epoch: [49][4120/10010] Time 0.346 (0.332) Data 0.001 (0.001) Loss 1.7670 (1.7732) Prec@1 60.938 (59.602) Prec@5 82.031 (81.239) Epoch: [49][4130/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8671 (1.7734) Prec@1 58.594 (59.600) Prec@5 81.250 (81.235) Epoch: [49][4140/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9880 (1.7734) Prec@1 55.469 (59.601) Prec@5 78.906 (81.235) Epoch: [49][4150/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 2.0804 (1.7735) Prec@1 50.781 (59.600) Prec@5 78.125 (81.235) Epoch: [49][4160/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.8047 (1.7736) Prec@1 58.594 (59.600) Prec@5 78.906 (81.234) Epoch: [49][4170/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 2.0746 (1.7736) Prec@1 49.219 (59.599) Prec@5 78.906 (81.237) Epoch: [49][4180/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7482 (1.7737) Prec@1 58.594 (59.599) Prec@5 81.250 (81.238) Epoch: [49][4190/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8673 (1.7737) Prec@1 59.375 (59.600) Prec@5 78.906 (81.237) Epoch: [49][4200/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7746 (1.7738) Prec@1 60.156 (59.595) Prec@5 81.250 (81.238) Epoch: [49][4210/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7518 (1.7741) Prec@1 56.250 (59.588) Prec@5 81.250 (81.234) Epoch: [49][4220/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.6463 (1.7741) Prec@1 64.844 (59.593) Prec@5 81.250 (81.232) Epoch: [49][4230/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 2.0803 (1.7742) Prec@1 52.344 (59.590) Prec@5 78.125 (81.232) Epoch: [49][4240/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.3909 (1.7742) Prec@1 64.062 (59.586) Prec@5 90.625 (81.230) Epoch: [49][4250/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.1283 (1.7740) Prec@1 50.000 (59.588) Prec@5 76.562 (81.234) Epoch: [49][4260/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.5527 (1.7741) Prec@1 60.156 (59.584) Prec@5 85.938 (81.236) Epoch: [49][4270/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8629 (1.7741) Prec@1 57.812 (59.584) Prec@5 76.562 (81.236) Epoch: [49][4280/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8054 (1.7740) Prec@1 56.250 (59.583) Prec@5 80.469 (81.237) Epoch: [49][4290/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5847 (1.7741) Prec@1 63.281 (59.580) Prec@5 84.375 (81.236) Epoch: [49][4300/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.7678 (1.7742) Prec@1 57.812 (59.577) Prec@5 81.250 (81.234) Epoch: [49][4310/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8560 (1.7744) Prec@1 61.719 (59.575) Prec@5 79.688 (81.230) Epoch: [49][4320/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7725 (1.7745) Prec@1 58.594 (59.577) Prec@5 78.125 (81.229) Epoch: [49][4330/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6194 (1.7743) Prec@1 59.375 (59.577) Prec@5 85.938 (81.233) Epoch: [49][4340/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6978 (1.7742) Prec@1 57.031 (59.585) Prec@5 86.719 (81.237) Epoch: [49][4350/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6443 (1.7742) Prec@1 60.156 (59.585) Prec@5 85.938 (81.238) Epoch: [49][4360/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.8108 (1.7741) Prec@1 53.906 (59.583) Prec@5 79.688 (81.242) Epoch: [49][4370/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 2.1464 (1.7741) Prec@1 56.250 (59.587) Prec@5 74.219 (81.244) Epoch: [49][4380/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.9339 (1.7742) Prec@1 58.594 (59.584) Prec@5 78.906 (81.241) Epoch: [49][4390/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8266 (1.7744) Prec@1 60.938 (59.585) Prec@5 78.906 (81.239) Epoch: [49][4400/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7785 (1.7742) Prec@1 57.812 (59.587) Prec@5 82.031 (81.241) Epoch: [49][4410/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7884 (1.7739) Prec@1 58.594 (59.590) Prec@5 79.688 (81.246) Epoch: [49][4420/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.8292 (1.7737) Prec@1 59.375 (59.595) Prec@5 81.250 (81.249) Epoch: [49][4430/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8784 (1.7736) Prec@1 57.812 (59.596) Prec@5 80.469 (81.251) Epoch: [49][4440/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8104 (1.7738) Prec@1 57.812 (59.596) Prec@5 80.469 (81.248) Epoch: [49][4450/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.5647 (1.7735) Prec@1 63.281 (59.604) Prec@5 85.156 (81.251) Epoch: [49][4460/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7963 (1.7734) Prec@1 56.250 (59.605) Prec@5 79.688 (81.254) Epoch: [49][4470/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.8426 (1.7733) Prec@1 60.938 (59.610) Prec@5 75.781 (81.254) Epoch: [49][4480/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7141 (1.7733) Prec@1 63.281 (59.612) Prec@5 82.031 (81.257) Epoch: [49][4490/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.4781 (1.7732) Prec@1 64.062 (59.615) Prec@5 82.812 (81.259) Epoch: [49][4500/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 2.1477 (1.7734) Prec@1 53.906 (59.613) Prec@5 78.906 (81.262) Epoch: [49][4510/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7118 (1.7735) Prec@1 58.594 (59.612) Prec@5 84.375 (81.261) Epoch: [49][4520/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8617 (1.7734) Prec@1 60.156 (59.613) Prec@5 78.125 (81.261) Epoch: [49][4530/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6971 (1.7734) Prec@1 58.594 (59.611) Prec@5 82.031 (81.261) Epoch: [49][4540/10010] Time 0.349 (0.332) Data 0.001 (0.001) Loss 1.6288 (1.7735) Prec@1 64.062 (59.612) Prec@5 82.031 (81.258) Epoch: [49][4550/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7697 (1.7735) Prec@1 60.156 (59.613) Prec@5 81.250 (81.259) Epoch: [49][4560/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 2.1320 (1.7737) Prec@1 49.219 (59.610) Prec@5 74.219 (81.257) Epoch: [49][4570/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.3951 (1.7735) Prec@1 66.406 (59.615) Prec@5 91.406 (81.260) Epoch: [49][4580/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 2.0893 (1.7738) Prec@1 53.906 (59.605) Prec@5 77.344 (81.255) Epoch: [49][4590/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.7861 (1.7739) Prec@1 60.938 (59.607) Prec@5 78.906 (81.253) Epoch: [49][4600/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7648 (1.7738) Prec@1 57.812 (59.607) Prec@5 82.812 (81.254) Epoch: [49][4610/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.5949 (1.7739) Prec@1 58.594 (59.605) Prec@5 83.594 (81.253) Epoch: [49][4620/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 1.5432 (1.7739) Prec@1 70.312 (59.608) Prec@5 82.812 (81.254) Epoch: [49][4630/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.8093 (1.7739) Prec@1 58.594 (59.609) Prec@5 81.250 (81.255) Epoch: [49][4640/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.9825 (1.7738) Prec@1 53.125 (59.613) Prec@5 80.469 (81.255) Epoch: [49][4650/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8778 (1.7739) Prec@1 54.688 (59.612) Prec@5 78.906 (81.254) Epoch: [49][4660/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.4266 (1.7737) Prec@1 64.844 (59.614) Prec@5 88.281 (81.258) Epoch: [49][4670/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7721 (1.7735) Prec@1 59.375 (59.619) Prec@5 81.250 (81.260) Epoch: [49][4680/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.8952 (1.7737) Prec@1 57.031 (59.616) Prec@5 77.344 (81.258) Epoch: [49][4690/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.6941 (1.7736) Prec@1 66.406 (59.618) Prec@5 83.594 (81.259) Epoch: [49][4700/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.3786 (1.7735) Prec@1 69.531 (59.620) Prec@5 88.281 (81.260) Epoch: [49][4710/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.7960 (1.7736) Prec@1 61.719 (59.618) Prec@5 80.469 (81.258) Epoch: [49][4720/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.6263 (1.7738) Prec@1 61.719 (59.614) Prec@5 83.594 (81.255) Epoch: [49][4730/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 2.1538 (1.7740) Prec@1 57.031 (59.608) Prec@5 75.000 (81.252) Epoch: [49][4740/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.9282 (1.7741) Prec@1 53.125 (59.604) Prec@5 78.906 (81.250) Epoch: [49][4750/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8593 (1.7743) Prec@1 56.250 (59.599) Prec@5 77.344 (81.247) Epoch: [49][4760/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.6772 (1.7743) Prec@1 60.156 (59.600) Prec@5 81.250 (81.248) Epoch: [49][4770/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.5456 (1.7741) Prec@1 65.625 (59.602) Prec@5 85.156 (81.249) Epoch: [49][4780/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5423 (1.7742) Prec@1 64.844 (59.601) Prec@5 85.156 (81.249) Epoch: [49][4790/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.5587 (1.7742) Prec@1 63.281 (59.600) Prec@5 86.719 (81.249) Epoch: [49][4800/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 2.2968 (1.7745) Prec@1 44.531 (59.594) Prec@5 71.094 (81.244) Epoch: [49][4810/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.4133 (1.7744) Prec@1 67.188 (59.593) Prec@5 90.625 (81.245) Epoch: [49][4820/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7581 (1.7744) Prec@1 61.719 (59.590) Prec@5 79.688 (81.247) Epoch: [49][4830/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6228 (1.7745) Prec@1 59.375 (59.588) Prec@5 82.812 (81.245) Epoch: [49][4840/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.8032 (1.7745) Prec@1 57.812 (59.586) Prec@5 87.500 (81.247) Epoch: [49][4850/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.8073 (1.7744) Prec@1 55.469 (59.585) Prec@5 81.250 (81.251) Epoch: [49][4860/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 2.0066 (1.7745) Prec@1 54.688 (59.583) Prec@5 76.562 (81.247) Epoch: [49][4870/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7245 (1.7745) Prec@1 64.844 (59.586) Prec@5 82.031 (81.246) Epoch: [49][4880/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7448 (1.7743) Prec@1 62.500 (59.589) Prec@5 83.594 (81.249) Epoch: [49][4890/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9641 (1.7745) Prec@1 60.938 (59.586) Prec@5 77.344 (81.246) Epoch: [49][4900/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7264 (1.7745) Prec@1 57.812 (59.584) Prec@5 82.031 (81.244) Epoch: [49][4910/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.9194 (1.7745) Prec@1 58.594 (59.585) Prec@5 81.250 (81.244) Epoch: [49][4920/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.7943 (1.7746) Prec@1 60.938 (59.582) Prec@5 81.250 (81.242) Epoch: [49][4930/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6665 (1.7745) Prec@1 60.156 (59.581) Prec@5 85.938 (81.244) Epoch: [49][4940/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7404 (1.7744) Prec@1 64.062 (59.583) Prec@5 80.469 (81.245) Epoch: [49][4950/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8497 (1.7744) Prec@1 59.375 (59.583) Prec@5 80.469 (81.243) Epoch: [49][4960/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6885 (1.7743) Prec@1 61.719 (59.583) Prec@5 82.812 (81.242) Epoch: [49][4970/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.5332 (1.7741) Prec@1 65.625 (59.587) Prec@5 82.812 (81.244) Epoch: [49][4980/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.9026 (1.7743) Prec@1 57.812 (59.584) Prec@5 79.688 (81.242) Epoch: [49][4990/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.6383 (1.7745) Prec@1 61.719 (59.579) Prec@5 83.594 (81.237) Epoch: [49][5000/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7715 (1.7746) Prec@1 64.844 (59.579) Prec@5 79.688 (81.233) /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][5010/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8685 (1.7746) Prec@1 51.562 (59.574) Prec@5 79.688 (81.235) Epoch: [49][5020/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7127 (1.7745) Prec@1 60.156 (59.574) Prec@5 84.375 (81.234) Epoch: [49][5030/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.5402 (1.7745) Prec@1 66.406 (59.575) Prec@5 83.594 (81.236) Epoch: [49][5040/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 2.0033 (1.7746) Prec@1 50.000 (59.571) Prec@5 78.906 (81.233) Epoch: [49][5050/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.9479 (1.7746) Prec@1 52.344 (59.570) Prec@5 77.344 (81.233) Epoch: [49][5060/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.7082 (1.7748) Prec@1 63.281 (59.568) Prec@5 84.375 (81.230) Epoch: [49][5070/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6707 (1.7748) Prec@1 65.625 (59.571) Prec@5 83.594 (81.232) Epoch: [49][5080/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.7013 (1.7748) Prec@1 60.156 (59.568) Prec@5 82.812 (81.231) Epoch: [49][5090/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.4776 (1.7747) Prec@1 64.062 (59.567) Prec@5 86.719 (81.234) Epoch: [49][5100/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8284 (1.7748) Prec@1 60.938 (59.565) Prec@5 78.125 (81.235) Epoch: [49][5110/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7259 (1.7749) Prec@1 63.281 (59.563) Prec@5 78.125 (81.232) Epoch: [49][5120/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.9017 (1.7749) Prec@1 54.688 (59.562) Prec@5 81.250 (81.230) Epoch: [49][5130/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.0643 (1.7749) Prec@1 54.688 (59.560) Prec@5 76.562 (81.229) Epoch: [49][5140/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7014 (1.7752) Prec@1 53.125 (59.551) Prec@5 83.594 (81.225) Epoch: [49][5150/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7711 (1.7751) Prec@1 64.062 (59.552) Prec@5 78.125 (81.225) Epoch: [49][5160/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.5488 (1.7751) Prec@1 62.500 (59.551) Prec@5 85.156 (81.227) Epoch: [49][5170/10010] Time 0.324 (0.332) Data 0.002 (0.001) Loss 1.7599 (1.7750) Prec@1 57.031 (59.553) Prec@5 78.906 (81.228) Epoch: [49][5180/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.6799 (1.7750) Prec@1 64.062 (59.556) Prec@5 82.031 (81.229) Epoch: [49][5190/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.9484 (1.7750) Prec@1 57.812 (59.555) Prec@5 78.125 (81.228) Epoch: [49][5200/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.8789 (1.7751) Prec@1 62.500 (59.558) Prec@5 79.688 (81.226) Epoch: [49][5210/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.6755 (1.7751) Prec@1 59.375 (59.560) Prec@5 83.594 (81.226) Epoch: [49][5220/10010] Time 0.319 (0.332) Data 0.000 (0.001) Loss 1.7990 (1.7751) Prec@1 60.938 (59.559) Prec@5 81.250 (81.226) Epoch: [49][5230/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6385 (1.7752) Prec@1 64.844 (59.558) Prec@5 81.250 (81.227) Epoch: [49][5240/10010] Time 0.322 (0.332) Data 0.000 (0.001) Loss 1.7328 (1.7752) Prec@1 58.594 (59.556) Prec@5 82.031 (81.224) Epoch: [49][5250/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.7194 (1.7754) Prec@1 56.250 (59.549) Prec@5 83.594 (81.223) Epoch: [49][5260/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.7289 (1.7755) Prec@1 60.938 (59.548) Prec@5 84.375 (81.222) Epoch: [49][5270/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5699 (1.7754) Prec@1 60.156 (59.548) Prec@5 85.938 (81.223) Epoch: [49][5280/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6234 (1.7754) Prec@1 60.156 (59.548) Prec@5 82.812 (81.226) Epoch: [49][5290/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6438 (1.7754) Prec@1 66.406 (59.545) Prec@5 82.031 (81.227) Epoch: [49][5300/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9724 (1.7755) Prec@1 57.031 (59.547) Prec@5 79.688 (81.225) Epoch: [49][5310/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.5908 (1.7753) Prec@1 63.281 (59.552) Prec@5 83.594 (81.228) Epoch: [49][5320/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9700 (1.7752) Prec@1 56.250 (59.555) Prec@5 76.562 (81.229) Epoch: [49][5330/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6107 (1.7752) Prec@1 71.094 (59.558) Prec@5 82.812 (81.228) Epoch: [49][5340/10010] Time 0.329 (0.332) Data 0.001 (0.001) Loss 1.7670 (1.7751) Prec@1 58.594 (59.560) Prec@5 83.594 (81.230) Epoch: [49][5350/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.5803 (1.7751) Prec@1 64.844 (59.560) Prec@5 87.500 (81.230) Epoch: [49][5360/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 2.0153 (1.7751) Prec@1 57.031 (59.562) Prec@5 76.562 (81.231) Epoch: [49][5370/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.0249 (1.7751) Prec@1 60.156 (59.561) Prec@5 76.562 (81.231) Epoch: [49][5380/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.9835 (1.7752) Prec@1 58.594 (59.561) Prec@5 75.781 (81.230) Epoch: [49][5390/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.5940 (1.7752) Prec@1 69.531 (59.562) Prec@5 84.375 (81.231) Epoch: [49][5400/10010] Time 0.338 (0.332) Data 0.000 (0.001) Loss 1.6122 (1.7753) Prec@1 61.719 (59.560) Prec@5 82.031 (81.230) Epoch: [49][5410/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 2.0926 (1.7753) Prec@1 49.219 (59.559) Prec@5 76.562 (81.229) Epoch: [49][5420/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6625 (1.7753) Prec@1 57.031 (59.559) Prec@5 83.594 (81.229) Epoch: [49][5430/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7219 (1.7755) Prec@1 61.719 (59.555) Prec@5 79.688 (81.227) Epoch: [49][5440/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8732 (1.7757) Prec@1 58.594 (59.552) Prec@5 75.781 (81.224) Epoch: [49][5450/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.7789 (1.7758) Prec@1 60.938 (59.550) Prec@5 82.812 (81.222) Epoch: [49][5460/10010] Time 0.318 (0.332) Data 0.000 (0.001) Loss 1.3670 (1.7758) Prec@1 68.750 (59.551) Prec@5 86.719 (81.222) Epoch: [49][5470/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7728 (1.7758) Prec@1 64.062 (59.554) Prec@5 78.906 (81.221) Epoch: [49][5480/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8621 (1.7759) Prec@1 58.594 (59.554) Prec@5 84.375 (81.220) Epoch: [49][5490/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.0374 (1.7759) Prec@1 51.562 (59.552) Prec@5 76.562 (81.220) Epoch: [49][5500/10010] Time 0.347 (0.332) Data 0.000 (0.001) Loss 1.7088 (1.7758) Prec@1 58.594 (59.554) Prec@5 82.031 (81.222) Epoch: [49][5510/10010] Time 0.319 (0.332) Data 0.001 (0.001) Loss 1.6647 (1.7760) Prec@1 61.719 (59.553) Prec@5 85.156 (81.219) Epoch: [49][5520/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.8037 (1.7760) Prec@1 56.250 (59.550) Prec@5 80.469 (81.217) Epoch: [49][5530/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.9435 (1.7761) Prec@1 52.344 (59.548) Prec@5 75.781 (81.215) Epoch: [49][5540/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 2.2175 (1.7762) Prec@1 49.219 (59.544) Prec@5 78.125 (81.215) Epoch: [49][5550/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.9824 (1.7764) Prec@1 60.156 (59.541) Prec@5 75.781 (81.213) Epoch: [49][5560/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.7035 (1.7764) Prec@1 64.844 (59.541) Prec@5 83.594 (81.213) Epoch: [49][5570/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6444 (1.7763) Prec@1 59.375 (59.541) Prec@5 84.375 (81.216) Epoch: [49][5580/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 2.0364 (1.7763) Prec@1 56.250 (59.540) Prec@5 76.562 (81.215) Epoch: [49][5590/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6567 (1.7764) Prec@1 64.062 (59.540) Prec@5 83.594 (81.214) Epoch: [49][5600/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6915 (1.7763) Prec@1 64.062 (59.542) Prec@5 82.812 (81.218) Epoch: [49][5610/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.4888 (1.7763) Prec@1 63.281 (59.542) Prec@5 88.281 (81.217) Epoch: [49][5620/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 2.1332 (1.7764) Prec@1 53.125 (59.542) Prec@5 74.219 (81.214) Epoch: [49][5630/10010] Time 0.352 (0.332) Data 0.000 (0.001) Loss 1.7849 (1.7766) Prec@1 55.469 (59.535) Prec@5 79.688 (81.211) Epoch: [49][5640/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.6987 (1.7768) Prec@1 57.031 (59.535) Prec@5 79.688 (81.208) Epoch: [49][5650/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.7892 (1.7769) Prec@1 59.375 (59.533) Prec@5 84.375 (81.207) Epoch: [49][5660/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8730 (1.7770) Prec@1 51.562 (59.532) Prec@5 78.906 (81.204) Epoch: [49][5670/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.8931 (1.7771) Prec@1 54.688 (59.532) Prec@5 80.469 (81.203) Epoch: [49][5680/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5862 (1.7770) Prec@1 61.719 (59.529) Prec@5 84.375 (81.204) Epoch: [49][5690/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.9324 (1.7773) Prec@1 56.250 (59.525) Prec@5 75.000 (81.197) Epoch: [49][5700/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.8641 (1.7775) Prec@1 62.500 (59.521) Prec@5 81.250 (81.193) Epoch: [49][5710/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 2.2098 (1.7775) Prec@1 54.688 (59.520) Prec@5 73.438 (81.193) Epoch: [49][5720/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.8252 (1.7776) Prec@1 57.812 (59.518) Prec@5 79.688 (81.193) Epoch: [49][5730/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.4844 (1.7775) Prec@1 67.188 (59.520) Prec@5 85.156 (81.192) Epoch: [49][5740/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.9164 (1.7776) Prec@1 55.469 (59.519) Prec@5 82.812 (81.192) Epoch: [49][5750/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.5464 (1.7774) Prec@1 64.062 (59.522) Prec@5 82.812 (81.196) Epoch: [49][5760/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8030 (1.7775) Prec@1 57.031 (59.519) Prec@5 79.688 (81.193) Epoch: [49][5770/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 2.0741 (1.7776) Prec@1 52.344 (59.517) Prec@5 79.688 (81.189) Epoch: [49][5780/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.8923 (1.7775) Prec@1 54.688 (59.519) Prec@5 82.031 (81.190) Epoch: [49][5790/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7918 (1.7775) Prec@1 61.719 (59.516) Prec@5 82.031 (81.189) Epoch: [49][5800/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.7220 (1.7774) Prec@1 64.844 (59.515) Prec@5 82.812 (81.192) Epoch: [49][5810/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.3912 (1.7773) Prec@1 61.719 (59.513) Prec@5 86.719 (81.193) Epoch: [49][5820/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8321 (1.7773) Prec@1 58.594 (59.512) Prec@5 80.469 (81.193) Epoch: [49][5830/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8231 (1.7773) Prec@1 58.594 (59.513) Prec@5 80.469 (81.195) Epoch: [49][5840/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.4800 (1.7772) Prec@1 67.188 (59.516) Prec@5 85.156 (81.194) Epoch: [49][5850/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.7420 (1.7771) Prec@1 57.031 (59.515) Prec@5 81.250 (81.196) Epoch: [49][5860/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 2.0167 (1.7771) Prec@1 50.781 (59.514) Prec@5 78.906 (81.195) Epoch: [49][5870/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.6514 (1.7772) Prec@1 64.062 (59.516) Prec@5 81.250 (81.195) Epoch: [49][5880/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9971 (1.7772) Prec@1 55.469 (59.517) Prec@5 77.344 (81.194) Epoch: [49][5890/10010] Time 0.331 (0.332) Data 0.000 (0.001) Loss 1.8475 (1.7773) Prec@1 60.156 (59.515) Prec@5 79.688 (81.194) Epoch: [49][5900/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.9961 (1.7773) Prec@1 53.906 (59.515) Prec@5 78.125 (81.194) Epoch: [49][5910/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.7215 (1.7773) Prec@1 64.844 (59.515) Prec@5 82.031 (81.194) Epoch: [49][5920/10010] Time 0.342 (0.332) Data 0.001 (0.001) Loss 1.6307 (1.7774) Prec@1 61.719 (59.516) Prec@5 82.031 (81.193) Epoch: [49][5930/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8146 (1.7774) Prec@1 59.375 (59.517) Prec@5 77.344 (81.193) Epoch: [49][5940/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.7853 (1.7775) Prec@1 55.469 (59.515) Prec@5 82.031 (81.193) Epoch: [49][5950/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8687 (1.7775) Prec@1 53.125 (59.512) Prec@5 81.250 (81.192) Epoch: [49][5960/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.5749 (1.7776) Prec@1 61.719 (59.511) Prec@5 80.469 (81.190) Epoch: [49][5970/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8429 (1.7776) Prec@1 57.812 (59.509) Prec@5 82.812 (81.192) Epoch: [49][5980/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.4678 (1.7775) Prec@1 62.500 (59.509) Prec@5 88.281 (81.195) Epoch: [49][5990/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8881 (1.7776) Prec@1 56.250 (59.508) Prec@5 80.469 (81.194) Epoch: [49][6000/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 2.0239 (1.7775) Prec@1 55.469 (59.510) Prec@5 78.906 (81.195) Epoch: [49][6010/10010] Time 0.343 (0.332) Data 0.001 (0.001) Loss 1.5592 (1.7774) Prec@1 60.156 (59.512) Prec@5 82.812 (81.195) Epoch: [49][6020/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7871 (1.7777) Prec@1 53.906 (59.506) Prec@5 82.031 (81.190) Epoch: [49][6030/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 2.0472 (1.7778) Prec@1 57.812 (59.504) Prec@5 77.344 (81.189) Epoch: [49][6040/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.9114 (1.7779) Prec@1 51.562 (59.501) Prec@5 75.000 (81.187) Epoch: [49][6050/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.8046 (1.7779) Prec@1 54.688 (59.500) Prec@5 84.375 (81.185) Epoch: [49][6060/10010] Time 0.356 (0.332) Data 0.001 (0.001) Loss 1.6949 (1.7777) Prec@1 63.281 (59.505) Prec@5 82.031 (81.188) Epoch: [49][6070/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.6940 (1.7776) Prec@1 60.156 (59.509) Prec@5 82.812 (81.189) Epoch: [49][6080/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8637 (1.7775) Prec@1 61.719 (59.512) Prec@5 78.906 (81.191) Epoch: [49][6090/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.7817 (1.7776) Prec@1 62.500 (59.511) Prec@5 82.812 (81.192) Epoch: [49][6100/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.6707 (1.7776) Prec@1 64.062 (59.509) Prec@5 82.031 (81.195) Epoch: [49][6110/10010] Time 0.321 (0.332) Data 0.000 (0.001) Loss 2.2025 (1.7777) Prec@1 52.344 (59.507) Prec@5 75.781 (81.193) Epoch: [49][6120/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6402 (1.7775) Prec@1 62.500 (59.511) Prec@5 79.688 (81.194) Epoch: [49][6130/10010] Time 0.348 (0.332) Data 0.000 (0.001) Loss 1.8618 (1.7775) Prec@1 59.375 (59.511) Prec@5 80.469 (81.194) Epoch: [49][6140/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.8112 (1.7776) Prec@1 63.281 (59.510) Prec@5 80.469 (81.193) Epoch: [49][6150/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.5928 (1.7776) Prec@1 64.062 (59.509) Prec@5 89.062 (81.193) Epoch: [49][6160/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.6795 (1.7776) Prec@1 57.031 (59.505) Prec@5 83.594 (81.192) Epoch: [49][6170/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.8071 (1.7775) Prec@1 58.594 (59.508) Prec@5 77.344 (81.193) Epoch: [49][6180/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6320 (1.7776) Prec@1 60.938 (59.507) Prec@5 81.250 (81.192) Epoch: [49][6190/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 2.0335 (1.7777) Prec@1 57.031 (59.507) Prec@5 78.125 (81.192) Epoch: [49][6200/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 2.1062 (1.7778) Prec@1 50.000 (59.506) Prec@5 77.344 (81.192) Epoch: [49][6210/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7104 (1.7779) Prec@1 57.812 (59.503) Prec@5 79.688 (81.192) Epoch: [49][6220/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.3390 (1.7780) Prec@1 64.844 (59.501) Prec@5 88.281 (81.192) Epoch: [49][6230/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9118 (1.7780) Prec@1 53.906 (59.497) Prec@5 74.219 (81.191) Epoch: [49][6240/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 2.1629 (1.7779) Prec@1 53.125 (59.502) Prec@5 76.562 (81.193) Epoch: [49][6250/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.8661 (1.7779) Prec@1 56.250 (59.499) Prec@5 79.688 (81.193) Epoch: [49][6260/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7774 (1.7780) Prec@1 65.625 (59.499) Prec@5 81.250 (81.193) Epoch: [49][6270/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.6138 (1.7780) Prec@1 62.500 (59.502) Prec@5 78.906 (81.192) Epoch: [49][6280/10010] Time 0.324 (0.332) Data 0.000 (0.001) Loss 1.8015 (1.7780) Prec@1 63.281 (59.502) Prec@5 77.344 (81.192) Epoch: [49][6290/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 2.1553 (1.7781) Prec@1 47.656 (59.501) Prec@5 72.656 (81.189) Epoch: [49][6300/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6332 (1.7782) Prec@1 62.500 (59.499) Prec@5 82.812 (81.188) Epoch: [49][6310/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9863 (1.7784) Prec@1 55.469 (59.497) Prec@5 77.344 (81.186) Epoch: [49][6320/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.2190 (1.7786) Prec@1 55.469 (59.493) Prec@5 74.219 (81.181) Epoch: [49][6330/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.5186 (1.7787) Prec@1 64.062 (59.493) Prec@5 84.375 (81.180) Epoch: [49][6340/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.9205 (1.7788) Prec@1 57.812 (59.490) Prec@5 77.344 (81.179) Epoch: [49][6350/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 2.0418 (1.7788) Prec@1 56.250 (59.491) Prec@5 78.906 (81.179) Epoch: [49][6360/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.7400 (1.7788) Prec@1 60.156 (59.490) Prec@5 82.812 (81.179) Epoch: [49][6370/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.6251 (1.7790) Prec@1 59.375 (59.487) Prec@5 84.375 (81.175) Epoch: [49][6380/10010] Time 0.341 (0.332) Data 0.001 (0.001) Loss 1.9859 (1.7790) Prec@1 53.125 (59.486) Prec@5 78.906 (81.174) Epoch: [49][6390/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.7071 (1.7791) Prec@1 63.281 (59.486) Prec@5 82.812 (81.173) Epoch: [49][6400/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.8894 (1.7790) Prec@1 58.594 (59.487) Prec@5 82.812 (81.175) Epoch: [49][6410/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.6384 (1.7790) Prec@1 62.500 (59.486) Prec@5 84.375 (81.174) Epoch: [49][6420/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6731 (1.7789) Prec@1 62.500 (59.487) Prec@5 82.031 (81.176) Epoch: [49][6430/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6353 (1.7787) Prec@1 60.156 (59.490) Prec@5 85.156 (81.181) Epoch: [49][6440/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.4942 (1.7785) Prec@1 62.500 (59.494) Prec@5 86.719 (81.184) Epoch: [49][6450/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9074 (1.7787) Prec@1 53.906 (59.489) Prec@5 78.906 (81.182) Epoch: [49][6460/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.6600 (1.7789) Prec@1 64.844 (59.486) Prec@5 80.469 (81.179) Epoch: [49][6470/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.9587 (1.7788) Prec@1 48.438 (59.489) Prec@5 77.344 (81.181) Epoch: [49][6480/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 2.0342 (1.7788) Prec@1 50.781 (59.487) Prec@5 75.781 (81.180) Epoch: [49][6490/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.6873 (1.7790) Prec@1 62.500 (59.483) Prec@5 82.031 (81.178) Epoch: [49][6500/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.8804 (1.7790) Prec@1 57.031 (59.483) Prec@5 81.250 (81.178) Epoch: [49][6510/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.4517 (1.7790) Prec@1 64.844 (59.483) Prec@5 82.812 (81.177) Epoch: [49][6520/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 1.9993 (1.7791) Prec@1 54.688 (59.481) Prec@5 80.469 (81.175) Epoch: [49][6530/10010] Time 0.325 (0.332) Data 0.001 (0.001) Loss 1.6480 (1.7792) Prec@1 60.938 (59.476) Prec@5 82.812 (81.174) Epoch: [49][6540/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.6255 (1.7790) Prec@1 62.500 (59.480) Prec@5 85.938 (81.178) Epoch: [49][6550/10010] Time 0.332 (0.332) Data 0.000 (0.001) Loss 1.9135 (1.7790) Prec@1 53.906 (59.483) Prec@5 80.469 (81.180) Epoch: [49][6560/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8447 (1.7789) Prec@1 57.812 (59.486) Prec@5 80.469 (81.180) Epoch: [49][6570/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.7660 (1.7790) Prec@1 62.500 (59.485) Prec@5 85.938 (81.180) Epoch: [49][6580/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.4841 (1.7791) Prec@1 65.625 (59.483) Prec@5 85.156 (81.180) Epoch: [49][6590/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.7956 (1.7791) Prec@1 61.719 (59.483) Prec@5 82.031 (81.182) Epoch: [49][6600/10010] Time 0.316 (0.332) Data 0.001 (0.001) Loss 1.5133 (1.7791) Prec@1 61.719 (59.484) Prec@5 85.156 (81.181) Epoch: [49][6610/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.6114 (1.7792) Prec@1 64.844 (59.484) Prec@5 83.594 (81.180) Epoch: [49][6620/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 1.5451 (1.7791) Prec@1 67.188 (59.482) Prec@5 87.500 (81.182) Epoch: [49][6630/10010] Time 0.322 (0.332) Data 0.001 (0.001) Loss 1.7039 (1.7792) Prec@1 57.812 (59.480) Prec@5 81.250 (81.180) Epoch: [49][6640/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.5634 (1.7793) Prec@1 59.375 (59.479) Prec@5 85.938 (81.179) Epoch: [49][6650/10010] Time 0.320 (0.332) Data 0.000 (0.001) Loss 1.6912 (1.7793) Prec@1 60.938 (59.478) Prec@5 81.250 (81.178) Epoch: [49][6660/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7343 (1.7794) Prec@1 62.500 (59.477) Prec@5 82.812 (81.178) Epoch: [49][6670/10010] Time 0.321 (0.332) Data 0.001 (0.001) Loss 1.9645 (1.7795) Prec@1 53.906 (59.476) Prec@5 78.125 (81.174) Epoch: [49][6680/10010] Time 0.318 (0.332) Data 0.001 (0.001) Loss 1.6771 (1.7795) Prec@1 66.406 (59.476) Prec@5 81.250 (81.174) Epoch: [49][6690/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0589 (1.7797) Prec@1 57.031 (59.474) Prec@5 78.125 (81.172) Epoch: [49][6700/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8180 (1.7797) Prec@1 57.812 (59.474) Prec@5 82.031 (81.173) Epoch: [49][6710/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8540 (1.7796) Prec@1 51.562 (59.475) Prec@5 82.031 (81.174) Epoch: [49][6720/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 2.0726 (1.7797) Prec@1 53.125 (59.475) Prec@5 73.438 (81.171) Epoch: [49][6730/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 2.0940 (1.7797) Prec@1 51.562 (59.474) Prec@5 78.906 (81.172) Epoch: [49][6740/10010] Time 0.346 (0.332) Data 0.000 (0.001) Loss 1.5847 (1.7797) Prec@1 64.062 (59.473) Prec@5 82.031 (81.173) Epoch: [49][6750/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.5162 (1.7796) Prec@1 60.938 (59.476) Prec@5 87.500 (81.174) Epoch: [49][6760/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.8063 (1.7796) Prec@1 60.156 (59.478) Prec@5 81.250 (81.174) Epoch: [49][6770/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.6550 (1.7795) Prec@1 57.812 (59.479) Prec@5 82.031 (81.174) Epoch: [49][6780/10010] Time 0.330 (0.332) Data 0.000 (0.001) Loss 1.8885 (1.7796) Prec@1 66.406 (59.480) Prec@5 82.812 (81.173) Epoch: [49][6790/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.7762 (1.7796) Prec@1 61.719 (59.482) Prec@5 82.812 (81.173) Epoch: [49][6800/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.5862 (1.7795) Prec@1 66.406 (59.483) Prec@5 85.156 (81.174) Epoch: [49][6810/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.4393 (1.7794) Prec@1 67.188 (59.485) Prec@5 85.156 (81.176) Epoch: [49][6820/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 2.0064 (1.7795) Prec@1 54.688 (59.483) Prec@5 79.688 (81.173) Epoch: [49][6830/10010] Time 0.316 (0.332) Data 0.000 (0.001) Loss 1.7111 (1.7795) Prec@1 57.031 (59.482) Prec@5 83.594 (81.173) Epoch: [49][6840/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.7297 (1.7795) Prec@1 64.062 (59.486) Prec@5 80.469 (81.175) Epoch: [49][6850/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.9903 (1.7794) Prec@1 54.688 (59.486) Prec@5 75.781 (81.176) Epoch: [49][6860/10010] Time 0.338 (0.332) Data 0.001 (0.001) Loss 1.7259 (1.7794) Prec@1 62.500 (59.485) Prec@5 78.125 (81.177) Epoch: [49][6870/10010] Time 0.337 (0.332) Data 0.000 (0.001) Loss 1.8888 (1.7795) Prec@1 61.719 (59.484) Prec@5 81.250 (81.175) Epoch: [49][6880/10010] Time 0.340 (0.332) Data 0.001 (0.001) Loss 1.5829 (1.7796) Prec@1 62.500 (59.483) Prec@5 82.812 (81.175) Epoch: [49][6890/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.8148 (1.7796) Prec@1 53.125 (59.483) Prec@5 78.906 (81.176) Epoch: [49][6900/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 1.9599 (1.7796) Prec@1 59.375 (59.484) Prec@5 78.125 (81.175) Epoch: [49][6910/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.6801 (1.7795) Prec@1 60.938 (59.485) Prec@5 88.281 (81.177) Epoch: [49][6920/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.4549 (1.7794) Prec@1 61.719 (59.486) Prec@5 85.156 (81.180) Epoch: [49][6930/10010] Time 0.336 (0.332) Data 0.001 (0.001) Loss 2.2405 (1.7794) Prec@1 51.562 (59.487) Prec@5 75.000 (81.180) Epoch: [49][6940/10010] Time 0.344 (0.332) Data 0.000 (0.001) Loss 1.6612 (1.7794) Prec@1 53.906 (59.487) Prec@5 83.594 (81.182) Epoch: [49][6950/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.9423 (1.7794) Prec@1 54.688 (59.488) Prec@5 76.562 (81.181) Epoch: [49][6960/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.6410 (1.7796) Prec@1 61.719 (59.485) Prec@5 85.156 (81.179) Epoch: [49][6970/10010] Time 0.327 (0.332) Data 0.001 (0.001) Loss 1.7521 (1.7796) Prec@1 56.250 (59.482) Prec@5 82.031 (81.179) Epoch: [49][6980/10010] Time 0.343 (0.332) Data 0.000 (0.001) Loss 1.4702 (1.7797) Prec@1 62.500 (59.480) Prec@5 83.594 (81.178) Epoch: [49][6990/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.7755 (1.7798) Prec@1 59.375 (59.478) Prec@5 82.031 (81.176) Epoch: [49][7000/10010] Time 0.341 (0.332) Data 0.000 (0.001) Loss 1.8092 (1.7798) Prec@1 53.125 (59.477) Prec@5 84.375 (81.176) Epoch: [49][7010/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7266 (1.7799) Prec@1 64.062 (59.476) Prec@5 79.688 (81.174) Epoch: [49][7020/10010] Time 0.342 (0.332) Data 0.000 (0.001) Loss 1.5187 (1.7800) Prec@1 67.188 (59.475) Prec@5 85.156 (81.172) Epoch: [49][7030/10010] Time 0.317 (0.332) Data 0.001 (0.001) Loss 2.3037 (1.7801) Prec@1 44.531 (59.474) Prec@5 71.875 (81.170) Epoch: [49][7040/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.6851 (1.7801) Prec@1 57.031 (59.474) Prec@5 84.375 (81.170) Epoch: [49][7050/10010] Time 0.333 (0.332) Data 0.000 (0.001) Loss 1.9859 (1.7802) Prec@1 58.594 (59.475) Prec@5 77.344 (81.167) Epoch: [49][7060/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8733 (1.7803) Prec@1 57.031 (59.474) Prec@5 78.125 (81.165) Epoch: [49][7070/10010] Time 0.337 (0.332) Data 0.001 (0.001) Loss 1.8966 (1.7805) Prec@1 60.156 (59.474) Prec@5 79.688 (81.163) Epoch: [49][7080/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.5422 (1.7803) Prec@1 66.406 (59.477) Prec@5 82.031 (81.165) Epoch: [49][7090/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.5645 (1.7802) Prec@1 60.938 (59.477) Prec@5 85.156 (81.168) Epoch: [49][7100/10010] Time 0.340 (0.332) Data 0.000 (0.001) Loss 1.8051 (1.7802) Prec@1 58.594 (59.474) Prec@5 81.250 (81.167) Epoch: [49][7110/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.5553 (1.7803) Prec@1 55.469 (59.473) Prec@5 87.500 (81.167) Epoch: [49][7120/10010] Time 0.326 (0.332) Data 0.001 (0.001) Loss 1.6579 (1.7804) Prec@1 63.281 (59.474) Prec@5 80.469 (81.164) Epoch: [49][7130/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7100 (1.7804) Prec@1 58.594 (59.474) Prec@5 78.906 (81.165) Epoch: [49][7140/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.8013 (1.7804) Prec@1 60.156 (59.474) Prec@5 81.250 (81.164) Epoch: [49][7150/10010] Time 0.326 (0.332) Data 0.000 (0.001) Loss 1.7661 (1.7805) Prec@1 53.906 (59.471) Prec@5 81.250 (81.163) Epoch: [49][7160/10010] Time 0.335 (0.332) Data 0.000 (0.001) Loss 1.7371 (1.7805) Prec@1 62.500 (59.473) Prec@5 84.375 (81.163) Epoch: [49][7170/10010] Time 0.327 (0.332) Data 0.000 (0.001) Loss 1.9019 (1.7806) Prec@1 61.719 (59.473) Prec@5 77.344 (81.162) Epoch: [49][7180/10010] Time 0.323 (0.332) Data 0.000 (0.001) Loss 1.6325 (1.7807) Prec@1 59.375 (59.470) Prec@5 85.156 (81.159) Epoch: [49][7190/10010] Time 0.329 (0.332) Data 0.000 (0.001) Loss 1.8491 (1.7808) Prec@1 54.688 (59.468) Prec@5 79.688 (81.157) Epoch: [49][7200/10010] Time 0.347 (0.332) Data 0.001 (0.001) Loss 1.8652 (1.7808) Prec@1 64.062 (59.469) Prec@5 78.906 (81.157) Epoch: [49][7210/10010] Time 0.312 (0.332) Data 0.001 (0.001) Loss 1.7328 (1.7809) Prec@1 58.594 (59.468) Prec@5 86.719 (81.156) Epoch: [49][7220/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.8716 (1.7808) Prec@1 52.344 (59.468) Prec@5 78.906 (81.157) Epoch: [49][7230/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.6890 (1.7808) Prec@1 60.938 (59.468) Prec@5 82.031 (81.157) Epoch: [49][7240/10010] Time 0.344 (0.332) Data 0.001 (0.001) Loss 1.6559 (1.7807) Prec@1 54.688 (59.466) Prec@5 82.031 (81.158) Epoch: [49][7250/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.9150 (1.7807) Prec@1 60.156 (59.468) Prec@5 78.125 (81.158) Epoch: [49][7260/10010] Time 0.334 (0.332) Data 0.001 (0.001) Loss 1.8096 (1.7807) Prec@1 58.594 (59.465) Prec@5 79.688 (81.155) Epoch: [49][7270/10010] Time 0.349 (0.332) Data 0.000 (0.001) Loss 1.7172 (1.7809) Prec@1 63.281 (59.463) Prec@5 85.938 (81.154) Epoch: [49][7280/10010] Time 0.330 (0.332) Data 0.001 (0.001) Loss 1.7890 (1.7808) Prec@1 55.469 (59.465) Prec@5 82.812 (81.154) Epoch: [49][7290/10010] Time 0.339 (0.332) Data 0.000 (0.001) Loss 1.9187 (1.7808) Prec@1 61.719 (59.466) Prec@5 75.781 (81.155) Epoch: [49][7300/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.6431 (1.7809) Prec@1 59.375 (59.463) Prec@5 82.812 (81.154) Epoch: [49][7310/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7451 (1.7809) Prec@1 64.062 (59.461) Prec@5 80.469 (81.154) Epoch: [49][7320/10010] Time 0.345 (0.332) Data 0.000 (0.001) Loss 1.6861 (1.7809) Prec@1 60.156 (59.459) Prec@5 87.500 (81.155) Epoch: [49][7330/10010] Time 0.324 (0.332) Data 0.001 (0.001) Loss 1.9561 (1.7809) Prec@1 58.594 (59.458) Prec@5 78.906 (81.154) Epoch: [49][7340/10010] Time 0.331 (0.332) Data 0.001 (0.001) Loss 2.1421 (1.7810) Prec@1 57.812 (59.457) Prec@5 76.562 (81.153) Epoch: [49][7350/10010] Time 0.336 (0.332) Data 0.000 (0.001) Loss 1.9023 (1.7810) Prec@1 60.156 (59.456) Prec@5 79.688 (81.152) Epoch: [49][7360/10010] Time 0.339 (0.332) Data 0.001 (0.001) Loss 1.7550 (1.7809) Prec@1 63.281 (59.457) Prec@5 82.031 (81.154) Epoch: [49][7370/10010] Time 0.333 (0.332) Data 0.001 (0.001) Loss 1.8774 (1.7810) Prec@1 60.156 (59.457) Prec@5 76.562 (81.153) Epoch: [49][7380/10010] Time 0.328 (0.332) Data 0.000 (0.001) Loss 1.6590 (1.7808) Prec@1 61.719 (59.460) Prec@5 83.594 (81.155) Epoch: [49][7390/10010] Time 0.334 (0.332) Data 0.000 (0.001) Loss 1.5651 (1.7806) Prec@1 64.844 (59.464) Prec@5 85.938 (81.159) Epoch: [49][7400/10010] Time 0.335 (0.332) Data 0.001 (0.001) Loss 1.7517 (1.7805) Prec@1 54.688 (59.467) Prec@5 79.688 (81.158) /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][7410/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 1.8475 (1.7805) Prec@1 54.688 (59.466) Prec@5 78.906 (81.158) Epoch: [49][7420/10010] Time 0.320 (0.332) Data 0.001 (0.001) Loss 1.7489 (1.7806) Prec@1 62.500 (59.464) Prec@5 85.938 (81.157) Epoch: [49][7430/10010] Time 0.351 (0.332) Data 0.000 (0.001) Loss 1.6791 (1.7807) Prec@1 65.625 (59.462) Prec@5 82.812 (81.156) Epoch: [49][7440/10010] Time 0.328 (0.332) Data 0.001 (0.001) Loss 1.8118 (1.7807) Prec@1 61.719 (59.462) Prec@5 81.250 (81.156) Epoch: [49][7450/10010] Time 0.323 (0.332) Data 0.001 (0.001) Loss 1.7696 (1.7808) Prec@1 58.594 (59.461) Prec@5 82.031 (81.154) Epoch: [49][7460/10010] Time 0.332 (0.332) Data 0.001 (0.001) Loss 1.7310 (1.7807) Prec@1 58.594 (59.462) Prec@5 78.906 (81.156) Epoch: [49][7470/10010] Time 0.325 (0.332) Data 0.000 (0.001) Loss 2.0093 (1.7806) Prec@1 58.594 (59.464) Prec@5 78.125 (81.157)