Namespace(arch='alexnet', batch_size=256, data='/data/vision/torralba/scratch2/bzhou/places365/places365_standard', epochs=90, evaluate=False, lr=0.01, momentum=0.9, num_classes=365, pretrained=True, print_freq=10, resume='', start_epoch=0, weight_decay=0.0001, workers=4) => creating model 'alexnet' AlexNet ( (features): DataParallel ( (module): Sequential ( (0): Conv2d(3, 64, kernel_size=(11, 11), stride=(4, 4), padding=(2, 2)) (1): ReLU (inplace) (2): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1)) (3): Conv2d(64, 192, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2)) (4): ReLU (inplace) (5): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1)) (6): Conv2d(192, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (7): ReLU (inplace) (8): Conv2d(384, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (9): ReLU (inplace) (10): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (11): ReLU (inplace) (12): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1)) ) ) (classifier): Sequential ( (0): Dropout (p = 0.5) (1): Linear (9216 -> 4096) (2): ReLU (inplace) (3): Dropout (p = 0.5) (4): Linear (4096 -> 4096) (5): ReLU (inplace) (6): Linear (4096 -> 365) ) ) Epoch: [0][0/5809] Time 24.248 (24.248) Data 13.822 (13.822) Loss 5.8993 (5.8993) Prec@1 0.391 (0.391) Prec@5 1.172 (1.172) Epoch: [0][10/5809] Time 0.139 (4.000) Data 0.043 (2.953) Loss 5.8991 (5.8998) Prec@1 0.391 (0.391) Prec@5 3.125 (1.918) Epoch: [0][20/5809] Time 6.371 (3.710) Data 6.310 (3.132) Loss 5.8987 (5.8993) Prec@1 0.000 (0.372) Prec@5 0.391 (1.786) Epoch: [0][30/5809] Time 0.522 (3.471) Data 0.457 (3.059) Loss 5.8965 (5.8987) Prec@1 0.391 (0.454) Prec@5 1.562 (1.827) Epoch: [0][40/5809] Time 12.800 (3.435) Data 12.740 (3.106) Loss 5.8969 (5.8984) Prec@1 0.000 (0.372) Prec@5 0.781 (1.686) Epoch: [0][50/5809] Time 0.136 (3.299) Data 0.001 (3.021) Loss 5.8942 (5.8978) Prec@1 0.000 (0.383) Prec@5 0.391 (1.624) Epoch: [0][60/5809] Time 12.624 (3.322) Data 12.563 (3.078) Loss 5.8943 (5.8972) Prec@1 0.781 (0.391) Prec@5 1.172 (1.633) Epoch: [0][70/5809] Time 0.484 (3.264) Data 0.424 (3.044) Loss 5.8918 (5.8963) Prec@1 0.000 (0.363) Prec@5 1.562 (1.601) Epoch: [0][80/5809] Time 10.066 (3.252) Data 10.002 (3.049) Loss 5.8838 (5.8951) Prec@1 0.391 (0.391) Prec@5 1.172 (1.644) Epoch: [0][90/5809] Time 0.133 (3.210) Data 0.001 (3.022) Loss 5.8729 (5.8933) Prec@1 0.391 (0.378) Prec@5 1.172 (1.618) Epoch: [0][100/5809] Time 9.284 (3.239) Data 9.223 (3.063) Loss 5.8058 (5.8883) Prec@1 0.391 (0.394) Prec@5 2.344 (1.644) Epoch: [0][110/5809] Time 0.138 (3.223) Data 0.001 (3.056) Loss 5.7977 (5.8804) Prec@1 0.391 (0.370) Prec@5 1.953 (1.608) Epoch: [0][120/5809] Time 11.475 (3.223) Data 11.414 (3.065) Loss 5.8130 (5.8739) Prec@1 0.391 (0.365) Prec@5 1.562 (1.598) Epoch: [0][130/5809] Time 0.163 (3.206) Data 0.102 (3.056) Loss 5.7886 (5.8684) Prec@1 0.000 (0.352) Prec@5 3.516 (1.592) Epoch: [0][140/5809] Time 5.941 (3.220) Data 5.881 (3.074) Loss 5.8231 (5.8626) Prec@1 0.000 (0.346) Prec@5 0.781 (1.599) Epoch: [0][150/5809] Time 0.137 (3.212) Data 0.077 (3.071) Loss 5.7653 (5.8565) Prec@1 0.000 (0.341) Prec@5 2.344 (1.609) Epoch: [0][160/5809] Time 5.295 (3.221) Data 5.235 (3.085) Loss 5.7453 (5.8503) Prec@1 0.000 (0.349) Prec@5 1.172 (1.616) Epoch: [0][170/5809] Time 0.843 (3.219) Data 0.783 (3.086) Loss 5.7256 (5.8448) Prec@1 0.781 (0.354) Prec@5 1.562 (1.624) Epoch: [0][180/5809] Time 4.984 (3.226) Data 4.921 (3.097) Loss 5.7283 (5.8392) Prec@1 1.172 (0.354) Prec@5 3.125 (1.621) Epoch: [0][190/5809] Time 0.605 (3.223) Data 0.545 (3.098) Loss 5.7278 (5.8348) Prec@1 0.391 (0.354) Prec@5 1.172 (1.599) Epoch: [0][200/5809] Time 4.613 (3.231) Data 4.553 (3.108) Loss 5.7443 (5.8308) Prec@1 0.391 (0.346) Prec@5 2.344 (1.613) Epoch: [0][210/5809] Time 0.399 (3.224) Data 0.339 (3.104) Loss 5.7675 (5.8270) Prec@1 0.000 (0.344) Prec@5 0.781 (1.627) Epoch: [0][220/5809] Time 5.827 (3.236) Data 5.766 (3.119) Loss 5.7508 (5.8233) Prec@1 0.000 (0.339) Prec@5 1.172 (1.619) Epoch: [0][230/5809] Time 0.134 (3.251) Data 0.001 (3.136) Loss 5.7515 (5.8201) Prec@1 0.391 (0.337) Prec@5 0.781 (1.610) Epoch: [0][240/5809] Time 3.928 (3.264) Data 3.867 (3.151) Loss 5.7256 (5.8169) Prec@1 0.391 (0.331) Prec@5 2.344 (1.600) Epoch: [0][250/5809] Time 3.458 (3.276) Data 3.397 (3.165) Loss 5.7238 (5.8135) Prec@1 0.391 (0.325) Prec@5 1.953 (1.625) Epoch: [0][260/5809] Time 8.865 (3.277) Data 8.804 (3.167) Loss 5.7366 (5.8105) Prec@1 0.391 (0.323) Prec@5 1.172 (1.637) Epoch: [0][270/5809] Time 1.093 (3.280) Data 1.032 (3.172) Loss 5.7496 (5.8080) Prec@1 0.391 (0.323) Prec@5 1.562 (1.640) Epoch: [0][280/5809] Time 11.313 (3.283) Data 11.249 (3.177) Loss 5.7032 (5.8053) Prec@1 0.781 (0.328) Prec@5 2.344 (1.653) Epoch: [0][290/5809] Time 1.509 (3.280) Data 1.448 (3.175) Loss 5.7457 (5.8026) Prec@1 0.000 (0.329) Prec@5 1.172 (1.674) Epoch: [0][300/5809] Time 4.056 (3.278) Data 3.997 (3.175) Loss 5.7334 (5.8000) Prec@1 0.000 (0.335) Prec@5 2.344 (1.683) Epoch: [0][310/5809] Time 0.999 (3.272) Data 0.939 (3.170) Loss 5.7511 (5.7977) Prec@1 0.391 (0.339) Prec@5 0.781 (1.684) Epoch: [0][320/5809] Time 4.980 (3.277) Data 4.919 (3.176) Loss 5.7391 (5.7957) Prec@1 0.391 (0.337) Prec@5 1.172 (1.691) Epoch: [0][330/5809] Time 1.078 (3.273) Data 1.018 (3.173) Loss 5.7280 (5.7938) Prec@1 0.391 (0.340) Prec@5 2.344 (1.691) Epoch: [0][340/5809] Time 4.118 (3.272) Data 4.057 (3.173) Loss 5.6910 (5.7918) Prec@1 0.781 (0.338) Prec@5 3.516 (1.692) Epoch: [0][350/5809] Time 0.134 (3.269) Data 0.070 (3.171) Loss 5.7326 (5.7898) Prec@1 0.000 (0.336) Prec@5 1.172 (1.679) Epoch: [0][360/5809] Time 5.396 (3.274) Data 5.334 (3.176) Loss 5.7007 (5.7876) Prec@1 0.000 (0.332) Prec@5 1.953 (1.690) Epoch: [0][370/5809] Time 0.141 (3.270) Data 0.001 (3.173) Loss 5.7201 (5.7854) Prec@1 0.000 (0.334) Prec@5 0.781 (1.693) Epoch: [0][380/5809] Time 5.092 (3.270) Data 5.028 (3.174) Loss 5.7237 (5.7835) Prec@1 0.391 (0.342) Prec@5 1.562 (1.710) Epoch: [0][390/5809] Time 0.133 (3.268) Data 0.001 (3.172) Loss 5.7195 (5.7818) Prec@1 0.391 (0.341) Prec@5 2.344 (1.708) Epoch: [0][400/5809] Time 7.724 (3.277) Data 7.663 (3.182) Loss 5.7173 (5.7803) Prec@1 0.781 (0.340) Prec@5 1.953 (1.708) Epoch: [0][410/5809] Time 2.897 (3.267) Data 2.837 (3.172) Loss 5.6956 (5.7786) Prec@1 0.781 (0.342) Prec@5 3.125 (1.708) Epoch: [0][420/5809] Time 7.597 (3.275) Data 7.537 (3.182) Loss 5.7101 (5.7770) Prec@1 0.000 (0.337) Prec@5 1.172 (1.704) Epoch: [0][430/5809] Time 4.489 (3.267) Data 4.429 (3.174) Loss 5.7283 (5.7752) Prec@1 0.000 (0.340) Prec@5 1.953 (1.712) Epoch: [0][440/5809] Time 7.830 (3.270) Data 7.766 (3.178) Loss 5.7273 (5.7738) Prec@1 0.000 (0.339) Prec@5 0.781 (1.712) Epoch: [0][450/5809] Time 1.732 (3.268) Data 1.673 (3.177) Loss 5.7017 (5.7721) Prec@1 1.172 (0.342) Prec@5 2.344 (1.719) Epoch: [0][460/5809] Time 6.086 (3.276) Data 6.025 (3.185) Loss 5.7152 (5.7707) Prec@1 0.000 (0.341) Prec@5 0.781 (1.718) Epoch: [0][470/5809] Time 2.514 (3.268) Data 2.454 (3.178) Loss 5.6912 (5.7695) Prec@1 0.391 (0.346) Prec@5 0.781 (1.721) Epoch: [0][480/5809] Time 9.071 (3.282) Data 9.009 (3.193) Loss 5.6915 (5.7680) Prec@1 0.000 (0.344) Prec@5 3.516 (1.726) Epoch: [0][490/5809] Time 5.724 (3.281) Data 5.663 (3.192) Loss 5.6922 (5.7666) Prec@1 0.000 (0.345) Prec@5 0.391 (1.736) Epoch: [0][500/5809] Time 10.333 (3.281) Data 10.272 (3.193) Loss 5.6903 (5.7650) Prec@1 1.172 (0.349) Prec@5 3.125 (1.745) Epoch: [0][510/5809] Time 4.368 (3.276) Data 4.305 (3.189) Loss 5.6716 (5.7634) Prec@1 0.391 (0.350) Prec@5 3.516 (1.749) Epoch: [0][520/5809] Time 6.258 (3.276) Data 6.198 (3.189) Loss 5.7052 (5.7618) Prec@1 0.391 (0.349) Prec@5 5.078 (1.760) Epoch: [0][530/5809] Time 6.305 (3.273) Data 6.244 (3.186) Loss 5.6478 (5.7604) Prec@1 0.000 (0.349) Prec@5 2.344 (1.773) Epoch: [0][540/5809] Time 1.889 (3.268) Data 1.829 (3.182) Loss 5.7064 (5.7588) Prec@1 0.391 (0.352) Prec@5 1.562 (1.780) Epoch: [0][550/5809] Time 4.110 (3.269) Data 4.049 (3.184) Loss 5.6554 (5.7570) Prec@1 0.781 (0.357) Prec@5 1.953 (1.794) Epoch: [0][560/5809] Time 3.267 (3.265) Data 3.207 (3.179) Loss 5.6453 (5.7551) Prec@1 0.391 (0.366) Prec@5 2.344 (1.815) Epoch: [0][570/5809] Time 3.406 (3.265) Data 3.344 (3.180) Loss 5.5830 (5.7527) Prec@1 0.781 (0.369) Prec@5 3.516 (1.836) Epoch: [0][580/5809] Time 1.382 (3.260) Data 1.322 (3.176) Loss 5.6263 (5.7504) Prec@1 1.172 (0.374) Prec@5 4.688 (1.853) Epoch: [0][590/5809] Time 2.666 (3.259) Data 2.606 (3.175) Loss 5.6318 (5.7481) Prec@1 0.391 (0.380) Prec@5 2.344 (1.878) Epoch: [0][600/5809] Time 0.713 (3.256) Data 0.652 (3.173) Loss 5.5942 (5.7454) Prec@1 0.391 (0.389) Prec@5 1.953 (1.907) Epoch: [0][610/5809] Time 5.430 (3.254) Data 5.370 (3.171) Loss 5.5193 (5.7425) Prec@1 0.000 (0.394) Prec@5 2.344 (1.926) Epoch: [0][620/5809] Time 0.486 (3.251) Data 0.426 (3.168) Loss 5.5917 (5.7402) Prec@1 0.781 (0.396) Prec@5 3.516 (1.941) Epoch: [0][630/5809] Time 2.774 (3.250) Data 2.711 (3.168) Loss 5.5599 (5.7372) Prec@1 0.000 (0.403) Prec@5 3.125 (1.967) Epoch: [0][640/5809] Time 0.978 (3.248) Data 0.918 (3.165) Loss 5.5142 (5.7339) Prec@1 0.000 (0.409) Prec@5 3.125 (1.993) Epoch: [0][650/5809] Time 3.281 (3.245) Data 3.221 (3.163) Loss 5.5023 (5.7311) Prec@1 0.781 (0.414) Prec@5 4.688 (2.023) Epoch: [0][660/5809] Time 0.763 (3.244) Data 0.702 (3.163) Loss 5.5220 (5.7280) Prec@1 1.172 (0.418) Prec@5 3.906 (2.044) Epoch: [0][670/5809] Time 9.259 (3.242) Data 9.198 (3.160) Loss 5.4474 (5.7248) Prec@1 0.391 (0.427) Prec@5 5.078 (2.078) Epoch: [0][680/5809] Time 2.231 (3.239) Data 2.171 (3.158) Loss 5.5417 (5.7218) Prec@1 1.172 (0.434) Prec@5 3.906 (2.107) Epoch: [0][690/5809] Time 8.735 (3.237) Data 8.671 (3.157) Loss 5.5665 (5.7191) Prec@1 0.000 (0.438) Prec@5 3.516 (2.139) Epoch: [0][700/5809] Time 3.229 (3.228) Data 3.169 (3.148) Loss 5.5195 (5.7162) Prec@1 0.391 (0.446) Prec@5 1.172 (2.151) Epoch: [0][710/5809] Time 6.220 (3.231) Data 6.160 (3.150) Loss 5.4385 (5.7132) Prec@1 0.781 (0.451) Prec@5 3.125 (2.175) Epoch: [0][720/5809] Time 6.079 (3.232) Data 6.016 (3.152) Loss 5.5264 (5.7100) Prec@1 0.391 (0.455) Prec@5 3.516 (2.200) Epoch: [0][730/5809] Time 2.466 (3.222) Data 2.406 (3.142) Loss 5.5836 (5.7071) Prec@1 0.391 (0.458) Prec@5 3.125 (2.225) Epoch: [0][740/5809] Time 7.445 (3.230) Data 7.385 (3.151) Loss 5.5292 (5.7044) Prec@1 0.391 (0.462) Prec@5 3.906 (2.244) Epoch: [0][750/5809] Time 7.219 (3.229) Data 7.156 (3.150) Loss 5.5119 (5.7013) Prec@1 0.781 (0.465) Prec@5 5.469 (2.267) Epoch: [0][760/5809] Time 1.320 (3.229) Data 1.261 (3.150) Loss 5.4388 (5.6985) Prec@1 1.172 (0.472) Prec@5 6.250 (2.302) Epoch: [0][770/5809] Time 1.324 (3.227) Data 1.265 (3.148) Loss 5.4333 (5.6956) Prec@1 0.391 (0.474) Prec@5 3.125 (2.318) Epoch: [0][780/5809] Time 0.173 (3.223) Data 0.114 (3.144) Loss 5.4679 (5.6927) Prec@1 0.781 (0.481) Prec@5 3.906 (2.337) Epoch: [0][790/5809] Time 1.315 (3.204) Data 1.255 (3.125) Loss 5.4925 (5.6897) Prec@1 0.781 (0.489) Prec@5 1.953 (2.363) Epoch: [0][800/5809] Time 0.133 (3.199) Data 0.057 (3.121) Loss 5.4240 (5.6866) Prec@1 1.172 (0.494) Prec@5 4.297 (2.382) Epoch: [0][810/5809] Time 1.613 (3.200) Data 1.554 (3.123) Loss 5.5359 (5.6840) Prec@1 0.000 (0.497) Prec@5 3.125 (2.403) Epoch: [0][820/5809] Time 0.132 (3.200) Data 0.001 (3.122) Loss 5.4588 (5.6817) Prec@1 2.344 (0.501) Prec@5 6.641 (2.434) Epoch: [0][830/5809] Time 1.641 (3.198) Data 1.581 (3.120) Loss 5.4386 (5.6790) Prec@1 0.391 (0.504) Prec@5 5.859 (2.456) Epoch: [0][840/5809] Time 0.442 (3.199) Data 0.381 (3.121) Loss 5.2997 (5.6760) Prec@1 0.781 (0.513) Prec@5 6.250 (2.483) Epoch: [0][850/5809] Time 2.018 (3.194) Data 1.958 (3.117) Loss 5.3897 (5.6729) Prec@1 1.562 (0.521) Prec@5 4.688 (2.514) Epoch: [0][860/5809] Time 0.721 (3.195) Data 0.662 (3.118) Loss 5.3904 (5.6698) Prec@1 0.781 (0.526) Prec@5 3.906 (2.545) Epoch: [0][870/5809] Time 2.200 (3.193) Data 2.138 (3.116) Loss 5.4089 (5.6667) Prec@1 1.172 (0.534) Prec@5 6.641 (2.584) Epoch: [0][880/5809] Time 0.866 (3.193) Data 0.806 (3.117) Loss 5.4773 (5.6638) Prec@1 0.000 (0.541) Prec@5 4.688 (2.616) Epoch: [0][890/5809] Time 2.762 (3.194) Data 2.703 (3.117) Loss 5.3457 (5.6611) Prec@1 0.391 (0.548) Prec@5 5.078 (2.647) Epoch: [0][900/5809] Time 0.669 (3.193) Data 0.608 (3.116) Loss 5.3897 (5.6583) Prec@1 0.781 (0.552) Prec@5 3.906 (2.674) Epoch: [0][910/5809] Time 3.336 (3.191) Data 3.276 (3.115) Loss 5.3846 (5.6551) Prec@1 0.781 (0.561) Prec@5 5.078 (2.708) Epoch: [0][920/5809] Time 0.780 (3.192) Data 0.712 (3.116) Loss 5.2883 (5.6523) Prec@1 1.172 (0.565) Prec@5 6.641 (2.736) Epoch: [0][930/5809] Time 2.281 (3.189) Data 2.220 (3.113) Loss 5.2923 (5.6495) Prec@1 2.734 (0.574) Prec@5 10.547 (2.771) Epoch: [0][940/5809] Time 1.064 (3.192) Data 0.997 (3.116) Loss 5.4354 (5.6470) Prec@1 1.562 (0.583) Prec@5 4.688 (2.796) Epoch: [0][950/5809] Time 3.184 (3.190) Data 3.123 (3.114) Loss 5.4094 (5.6441) Prec@1 2.344 (0.593) Prec@5 5.078 (2.827) Epoch: [0][960/5809] Time 1.232 (3.192) Data 1.171 (3.116) Loss 5.2586 (5.6409) Prec@1 1.562 (0.600) Prec@5 8.203 (2.864) Epoch: [0][970/5809] Time 2.583 (3.191) Data 2.522 (3.115) Loss 5.3469 (5.6378) Prec@1 1.172 (0.608) Prec@5 7.422 (2.901) Epoch: [0][980/5809] Time 0.671 (3.190) Data 0.610 (3.114) Loss 5.3776 (5.6347) Prec@1 0.781 (0.619) Prec@5 8.203 (2.941) Epoch: [0][990/5809] Time 2.597 (3.189) Data 2.536 (3.113) Loss 5.3677 (5.6318) Prec@1 3.906 (0.629) Prec@5 8.984 (2.974) Epoch: [0][1000/5809] Time 1.758 (3.189) Data 1.697 (3.113) Loss 5.3042 (5.6287) Prec@1 1.172 (0.638) Prec@5 6.641 (3.006) Epoch: [0][1010/5809] Time 1.977 (3.186) Data 1.916 (3.110) Loss 5.3877 (5.6254) Prec@1 1.953 (0.653) Prec@5 7.812 (3.055) Epoch: [0][1020/5809] Time 1.151 (3.187) Data 1.090 (3.111) Loss 5.2872 (5.6227) Prec@1 1.562 (0.660) Prec@5 8.203 (3.083) Epoch: [0][1030/5809] Time 2.490 (3.186) Data 2.430 (3.110) Loss 5.3216 (5.6198) Prec@1 0.781 (0.668) Prec@5 5.859 (3.111) Epoch: [0][1040/5809] Time 1.006 (3.187) Data 0.945 (3.111) Loss 5.3847 (5.6171) Prec@1 1.172 (0.672) Prec@5 7.031 (3.140) Epoch: [0][1050/5809] Time 2.735 (3.185) Data 2.675 (3.110) Loss 5.3004 (5.6141) Prec@1 2.734 (0.684) Prec@5 7.422 (3.176) Epoch: [0][1060/5809] Time 1.085 (3.188) Data 1.024 (3.113) Loss 5.2857 (5.6110) Prec@1 1.562 (0.691) Prec@5 7.422 (3.220) Epoch: [0][1070/5809] Time 1.794 (3.186) Data 1.733 (3.111) Loss 5.3082 (5.6080) Prec@1 1.562 (0.699) Prec@5 6.641 (3.258) Epoch: [0][1080/5809] Time 1.207 (3.207) Data 1.146 (3.133) Loss 5.3351 (5.6053) Prec@1 2.344 (0.709) Prec@5 6.250 (3.294) Epoch: [0][1090/5809] Time 2.741 (3.210) Data 2.677 (3.135) Loss 5.2417 (5.6026) Prec@1 1.172 (0.717) Prec@5 5.859 (3.329) Epoch: [0][1100/5809] Time 3.099 (3.225) Data 3.037 (3.150) Loss 5.3202 (5.5997) Prec@1 2.344 (0.729) Prec@5 6.641 (3.377) Epoch: [0][1110/5809] Time 2.128 (3.234) Data 2.067 (3.159) Loss 5.2646 (5.5966) Prec@1 0.781 (0.740) Prec@5 7.031 (3.422) Epoch: [0][1120/5809] Time 1.351 (3.267) Data 1.291 (3.192) Loss 5.2920 (5.5934) Prec@1 1.953 (0.752) Prec@5 7.031 (3.464) Epoch: [0][1130/5809] Time 2.442 (3.287) Data 2.381 (3.212) Loss 5.2038 (5.5902) Prec@1 1.562 (0.765) Prec@5 7.422 (3.504) Epoch: [0][1140/5809] Time 2.306 (3.317) Data 2.245 (3.242) Loss 5.2882 (5.5873) Prec@1 1.953 (0.776) Prec@5 6.641 (3.543) Epoch: [0][1150/5809] Time 1.325 (3.334) Data 1.264 (3.260) Loss 5.2480 (5.5845) Prec@1 2.734 (0.785) Prec@5 8.203 (3.580) Epoch: [0][1160/5809] Time 1.485 (3.368) Data 1.419 (3.293) Loss 5.1961 (5.5817) Prec@1 2.344 (0.795) Prec@5 8.203 (3.624) Epoch: [0][1170/5809] Time 1.653 (3.390) Data 1.593 (3.315) Loss 5.3117 (5.5787) Prec@1 2.734 (0.811) Prec@5 6.641 (3.663) Epoch: [0][1180/5809] Time 2.097 (3.436) Data 2.035 (3.361) Loss 5.1986 (5.5754) Prec@1 2.734 (0.826) Prec@5 11.328 (3.715) Epoch: [0][1190/5809] Time 0.133 (3.456) Data 0.001 (3.382) Loss 5.0871 (5.5722) Prec@1 3.125 (0.836) Prec@5 12.891 (3.764) Epoch: [0][1200/5809] Time 0.441 (3.490) Data 0.380 (3.415) Loss 5.2133 (5.5689) Prec@1 1.562 (0.844) Prec@5 8.984 (3.809) Epoch: [0][1210/5809] Time 2.361 (3.509) Data 2.296 (3.434) Loss 5.2367 (5.5657) Prec@1 3.125 (0.854) Prec@5 8.984 (3.852) Epoch: [0][1220/5809] Time 0.140 (3.543) Data 0.079 (3.468) Loss 5.1486 (5.5626) Prec@1 0.391 (0.862) Prec@5 7.422 (3.896) Epoch: [0][1230/5809] Time 0.299 (3.554) Data 0.240 (3.479) Loss 5.2988 (5.5598) Prec@1 2.344 (0.868) Prec@5 8.594 (3.933) Epoch: [0][1240/5809] Time 0.688 (3.592) Data 0.626 (3.517) Loss 5.1454 (5.5566) Prec@1 3.906 (0.884) Prec@5 8.984 (3.982) Epoch: [0][1250/5809] Time 5.669 (3.607) Data 5.608 (3.532) Loss 5.1855 (5.5534) Prec@1 2.344 (0.898) Prec@5 8.984 (4.033) Epoch: [0][1260/5809] Time 0.133 (3.638) Data 0.001 (3.563) Loss 5.1606 (5.5504) Prec@1 1.953 (0.911) Prec@5 7.812 (4.072) Epoch: [0][1270/5809] Time 1.267 (3.655) Data 1.207 (3.580) Loss 5.1671 (5.5472) Prec@1 1.172 (0.928) Prec@5 7.031 (4.125) Epoch: [0][1280/5809] Time 2.193 (3.684) Data 2.131 (3.609) Loss 5.1332 (5.5441) Prec@1 2.344 (0.940) Prec@5 9.766 (4.171) Epoch: [0][1290/5809] Time 4.615 (3.707) Data 4.555 (3.631) Loss 5.1527 (5.5413) Prec@1 2.734 (0.950) Prec@5 10.938 (4.214) Epoch: [0][1300/5809] Time 2.525 (3.739) Data 2.464 (3.664) Loss 5.2382 (5.5385) Prec@1 1.953 (0.967) Prec@5 10.156 (4.258) Epoch: [0][1310/5809] Time 0.968 (3.758) Data 0.908 (3.683) Loss 5.1420 (5.5356) Prec@1 5.469 (0.977) Prec@5 10.156 (4.296) Epoch: [0][1320/5809] Time 0.135 (3.788) Data 0.001 (3.713) Loss 5.1556 (5.5327) Prec@1 1.562 (0.984) Prec@5 6.641 (4.336) Epoch: [0][1330/5809] Time 4.951 (3.810) Data 4.890 (3.735) Loss 5.1044 (5.5297) Prec@1 2.734 (0.998) Prec@5 10.156 (4.378) Epoch: [0][1340/5809] Time 1.810 (3.844) Data 1.750 (3.769) Loss 5.1369 (5.5266) Prec@1 2.734 (1.013) Prec@5 9.766 (4.425) Epoch: [0][1350/5809] Time 7.585 (3.866) Data 7.525 (3.791) Loss 5.1363 (5.5239) Prec@1 1.953 (1.025) Prec@5 10.938 (4.463) Epoch: [0][1360/5809] Time 3.574 (3.897) Data 3.514 (3.822) Loss 5.1592 (5.5210) Prec@1 0.391 (1.038) Prec@5 8.203 (4.508) Epoch: [0][1370/5809] Time 4.862 (3.919) Data 4.802 (3.844) Loss 5.1866 (5.5181) Prec@1 3.516 (1.048) Prec@5 10.156 (4.549) Epoch: [0][1380/5809] Time 4.986 (3.940) Data 4.920 (3.865) Loss 5.1654 (5.5155) Prec@1 1.953 (1.055) Prec@5 9.766 (4.589) Epoch: [0][1390/5809] Time 6.808 (3.962) Data 6.747 (3.887) Loss 5.0662 (5.5127) Prec@1 1.953 (1.068) Prec@5 8.984 (4.635) Epoch: [0][1400/5809] Time 3.269 (3.981) Data 3.209 (3.907) Loss 5.0982 (5.5098) Prec@1 4.688 (1.082) Prec@5 11.719 (4.676) Epoch: [0][1410/5809] Time 8.382 (3.998) Data 8.322 (3.923) Loss 4.9935 (5.5068) Prec@1 2.344 (1.094) Prec@5 11.328 (4.722) Epoch: [0][1420/5809] Time 3.512 (4.018) Data 3.452 (3.944) Loss 5.2747 (5.5040) Prec@1 1.172 (1.107) Prec@5 7.031 (4.769) Epoch: [0][1430/5809] Time 2.041 (4.030) Data 1.981 (3.956) Loss 5.0135 (5.5012) Prec@1 2.344 (1.119) Prec@5 13.281 (4.813) Epoch: [0][1440/5809] Time 2.730 (4.055) Data 2.670 (3.981) Loss 5.1772 (5.4985) Prec@1 1.172 (1.132) Prec@5 9.766 (4.864) Epoch: [0][1450/5809] Time 1.359 (4.068) Data 1.295 (3.994) Loss 5.1021 (5.4957) Prec@1 2.734 (1.143) Prec@5 10.547 (4.904) Epoch: [0][1460/5809] Time 0.141 (4.096) Data 0.001 (4.022) Loss 4.9722 (5.4927) Prec@1 2.344 (1.157) Prec@5 14.062 (4.954) Epoch: [0][1470/5809] Time 1.450 (4.109) Data 1.390 (4.035) Loss 5.0618 (5.4898) Prec@1 3.125 (1.170) Prec@5 10.938 (5.009) Epoch: [0][1480/5809] Time 3.166 (4.137) Data 3.106 (4.063) Loss 5.2165 (5.4872) Prec@1 3.125 (1.181) Prec@5 8.984 (5.052) Epoch: [0][1490/5809] Time 0.133 (4.155) Data 0.001 (4.081) Loss 5.2039 (5.4843) Prec@1 3.125 (1.198) Prec@5 10.938 (5.100) Epoch: [0][1500/5809] Time 1.356 (4.181) Data 1.295 (4.107) Loss 5.1214 (5.4817) Prec@1 2.734 (1.208) Prec@5 11.328 (5.141) Epoch: [0][1510/5809] Time 1.229 (4.198) Data 1.168 (4.124) Loss 5.2367 (5.4794) Prec@1 3.516 (1.216) Prec@5 11.719 (5.183) Epoch: [0][1520/5809] Time 5.885 (4.232) Data 5.824 (4.158) Loss 5.0237 (5.4765) Prec@1 2.734 (1.230) Prec@5 12.500 (5.233) Epoch: [0][1530/5809] Time 10.405 (4.252) Data 10.345 (4.178) Loss 5.0373 (5.4735) Prec@1 3.125 (1.249) Prec@5 13.672 (5.283) Epoch: [0][1540/5809] Time 9.016 (4.282) Data 8.956 (4.208) Loss 5.0318 (5.4707) Prec@1 5.078 (1.262) Prec@5 15.625 (5.325) Epoch: [0][1550/5809] Time 5.419 (4.305) Data 5.358 (4.231) Loss 4.9572 (5.4679) Prec@1 3.516 (1.276) Prec@5 13.672 (5.370) Epoch: [0][1560/5809] Time 9.602 (4.333) Data 9.542 (4.260) Loss 5.0741 (5.4650) Prec@1 3.906 (1.289) Prec@5 11.328 (5.414) Epoch: [0][1570/5809] Time 10.025 (4.358) Data 9.962 (4.284) Loss 5.0226 (5.4619) Prec@1 3.906 (1.301) Prec@5 12.500 (5.459) Epoch: [0][1580/5809] Time 10.113 (4.379) Data 10.053 (4.306) Loss 5.0857 (5.4590) Prec@1 3.906 (1.313) Prec@5 14.062 (5.509) Epoch: [0][1590/5809] Time 3.675 (4.393) Data 3.615 (4.320) Loss 4.9699 (5.4561) Prec@1 2.734 (1.325) Prec@5 14.844 (5.557) Epoch: [0][1600/5809] Time 10.217 (4.413) Data 10.157 (4.340) Loss 4.9304 (5.4532) Prec@1 1.953 (1.339) Prec@5 16.016 (5.608) Epoch: [0][1610/5809] Time 2.207 (4.428) Data 2.147 (4.355) Loss 5.0568 (5.4502) Prec@1 2.344 (1.350) Prec@5 11.328 (5.656) Epoch: [0][1620/5809] Time 4.433 (4.447) Data 4.373 (4.373) Loss 5.0215 (5.4475) Prec@1 3.906 (1.362) Prec@5 14.062 (5.701) Epoch: [0][1630/5809] Time 10.347 (4.466) Data 10.287 (4.393) Loss 4.9053 (5.4445) Prec@1 3.906 (1.380) Prec@5 16.406 (5.755) Epoch: [0][1640/5809] Time 3.141 (4.479) Data 3.078 (4.406) Loss 4.9382 (5.4414) Prec@1 3.516 (1.398) Prec@5 14.453 (5.812) Epoch: [0][1650/5809] Time 8.274 (4.500) Data 8.210 (4.427) Loss 4.9580 (5.4388) Prec@1 4.688 (1.411) Prec@5 14.453 (5.856) Epoch: [0][1660/5809] Time 5.587 (4.512) Data 5.523 (4.439) Loss 4.9629 (5.4360) Prec@1 4.688 (1.427) Prec@5 14.844 (5.905) Epoch: [0][1670/5809] Time 12.960 (4.532) Data 12.896 (4.459) Loss 5.0353 (5.4336) Prec@1 1.172 (1.434) Prec@5 12.500 (5.943) Epoch: [0][1680/5809] Time 3.108 (4.542) Data 3.048 (4.469) Loss 4.9928 (5.4310) Prec@1 3.125 (1.445) Prec@5 10.938 (5.984) Epoch: [0][1690/5809] Time 10.813 (4.561) Data 10.752 (4.488) Loss 5.0170 (5.4283) Prec@1 4.688 (1.459) Prec@5 16.016 (6.038) Epoch: [0][1700/5809] Time 3.806 (4.571) Data 3.745 (4.499) Loss 5.0014 (5.4257) Prec@1 4.688 (1.473) Prec@5 13.672 (6.087) Epoch: [0][1710/5809] Time 10.570 (4.587) Data 10.509 (4.515) Loss 4.9094 (5.4228) Prec@1 3.125 (1.486) Prec@5 14.062 (6.136) Epoch: [0][1720/5809] Time 0.133 (4.597) Data 0.001 (4.524) Loss 4.8409 (5.4199) Prec@1 4.297 (1.500) Prec@5 17.969 (6.186) Epoch: [0][1730/5809] Time 6.921 (4.608) Data 6.862 (4.536) Loss 4.8434 (5.4167) Prec@1 4.688 (1.517) Prec@5 15.625 (6.241) Epoch: [0][1740/5809] Time 6.471 (4.614) Data 6.411 (4.542) Loss 4.9462 (5.4139) Prec@1 5.078 (1.531) Prec@5 10.938 (6.287) Epoch: [0][1750/5809] Time 7.171 (4.623) Data 7.110 (4.551) Loss 4.9082 (5.4112) Prec@1 3.125 (1.545) Prec@5 14.844 (6.335) Epoch: [0][1760/5809] Time 11.670 (4.631) Data 11.605 (4.559) Loss 4.9681 (5.4085) Prec@1 3.906 (1.558) Prec@5 12.500 (6.384) Epoch: [0][1770/5809] Time 15.109 (4.639) Data 15.044 (4.567) Loss 4.8588 (5.4057) Prec@1 3.516 (1.572) Prec@5 14.844 (6.434) Epoch: [0][1780/5809] Time 16.149 (4.648) Data 16.089 (4.575) Loss 4.7234 (5.4026) Prec@1 6.641 (1.588) Prec@5 17.578 (6.490) Epoch: [0][1790/5809] Time 7.280 (4.652) Data 7.215 (4.579) Loss 4.8880 (5.3996) Prec@1 4.688 (1.603) Prec@5 16.406 (6.541) Epoch: [0][1800/5809] Time 11.997 (4.659) Data 11.934 (4.587) Loss 4.8823 (5.3966) Prec@1 3.516 (1.620) Prec@5 14.844 (6.598) Epoch: [0][1810/5809] Time 1.883 (4.665) Data 1.822 (4.593) Loss 4.9146 (5.3937) Prec@1 4.688 (1.635) Prec@5 16.406 (6.646) Epoch: [0][1820/5809] Time 7.442 (4.674) Data 7.382 (4.602) Loss 4.8956 (5.3911) Prec@1 5.469 (1.653) Prec@5 16.406 (6.694) Epoch: [0][1830/5809] Time 3.460 (4.688) Data 3.399 (4.615) Loss 4.8773 (5.3884) Prec@1 5.859 (1.670) Prec@5 16.797 (6.746) Epoch: [0][1840/5809] Time 10.090 (4.696) Data 10.030 (4.624) Loss 4.8611 (5.3854) Prec@1 3.906 (1.690) Prec@5 15.234 (6.800) Epoch: [0][1850/5809] Time 0.192 (4.710) Data 0.131 (4.637) Loss 4.8056 (5.3824) Prec@1 5.078 (1.703) Prec@5 18.359 (6.853) Epoch: [0][1860/5809] Time 8.444 (4.718) Data 8.383 (4.645) Loss 4.8615 (5.3794) Prec@1 4.297 (1.718) Prec@5 14.844 (6.902) Epoch: [0][1870/5809] Time 2.083 (4.729) Data 2.023 (4.657) Loss 4.8094 (5.3764) Prec@1 5.078 (1.735) Prec@5 16.406 (6.954) Epoch: [0][1880/5809] Time 4.921 (4.737) Data 4.861 (4.665) Loss 4.8508 (5.3735) Prec@1 5.859 (1.756) Prec@5 17.969 (7.010) Epoch: [0][1890/5809] Time 0.245 (4.747) Data 0.184 (4.675) Loss 4.7896 (5.3709) Prec@1 3.906 (1.771) Prec@5 20.703 (7.061) Epoch: [0][1900/5809] Time 0.765 (4.753) Data 0.704 (4.681) Loss 4.8365 (5.3680) Prec@1 3.125 (1.785) Prec@5 14.453 (7.112) Epoch: [0][1910/5809] Time 3.509 (4.771) Data 3.447 (4.698) Loss 4.9482 (5.3652) Prec@1 5.469 (1.802) Prec@5 16.406 (7.162) Epoch: [0][1920/5809] Time 0.481 (4.772) Data 0.420 (4.700) Loss 4.6612 (5.3622) Prec@1 7.422 (1.820) Prec@5 21.094 (7.218) Epoch: [0][1930/5809] Time 0.572 (4.788) Data 0.511 (4.716) Loss 4.7434 (5.3591) Prec@1 5.469 (1.839) Prec@5 20.703 (7.277) Epoch: [0][1940/5809] Time 1.126 (4.786) Data 1.065 (4.714) Loss 4.8096 (5.3562) Prec@1 2.734 (1.856) Prec@5 14.062 (7.327) Epoch: [0][1950/5809] Time 3.858 (4.799) Data 3.796 (4.727) Loss 4.8021 (5.3532) Prec@1 5.078 (1.871) Prec@5 18.750 (7.384) Epoch: [0][1960/5809] Time 0.132 (4.800) Data 0.001 (4.728) Loss 4.7846 (5.3503) Prec@1 3.125 (1.883) Prec@5 16.406 (7.435) Epoch: [0][1970/5809] Time 0.133 (4.812) Data 0.001 (4.739) Loss 4.7899 (5.3477) Prec@1 5.078 (1.894) Prec@5 18.359 (7.479) Epoch: [0][1980/5809] Time 0.700 (4.814) Data 0.641 (4.741) Loss 4.7506 (5.3450) Prec@1 7.812 (1.910) Prec@5 17.578 (7.528) Epoch: [0][1990/5809] Time 1.851 (4.827) Data 1.789 (4.755) Loss 4.6644 (5.3423) Prec@1 6.250 (1.927) Prec@5 18.750 (7.577) Epoch: [0][2000/5809] Time 1.549 (4.831) Data 1.489 (4.759) Loss 4.8167 (5.3394) Prec@1 8.594 (1.944) Prec@5 18.359 (7.629) Epoch: [0][2010/5809] Time 5.907 (4.845) Data 5.847 (4.772) Loss 4.5957 (5.3365) Prec@1 8.984 (1.962) Prec@5 24.219 (7.682) Epoch: [0][2020/5809] Time 6.501 (4.849) Data 6.441 (4.777) Loss 4.7170 (5.3335) Prec@1 3.516 (1.978) Prec@5 19.141 (7.737) Epoch: [0][2030/5809] Time 0.460 (4.860) Data 0.399 (4.788) Loss 4.8672 (5.3309) Prec@1 4.688 (1.995) Prec@5 16.016 (7.783) Epoch: [0][2040/5809] Time 5.317 (4.868) Data 5.256 (4.796) Loss 4.8985 (5.3283) Prec@1 6.250 (2.015) Prec@5 14.062 (7.836) Epoch: [0][2050/5809] Time 4.010 (4.875) Data 3.949 (4.803) Loss 4.8138 (5.3257) Prec@1 5.078 (2.030) Prec@5 19.141 (7.884) Epoch: [0][2060/5809] Time 2.845 (4.883) Data 2.785 (4.811) Loss 4.8492 (5.3231) Prec@1 2.734 (2.046) Prec@5 14.453 (7.935) Epoch: [0][2070/5809] Time 1.947 (4.890) Data 1.886 (4.817) Loss 4.6990 (5.3204) Prec@1 6.641 (2.058) Prec@5 21.094 (7.979) Epoch: [0][2080/5809] Time 1.897 (4.897) Data 1.837 (4.824) Loss 4.7011 (5.3177) Prec@1 6.641 (2.074) Prec@5 21.875 (8.031) Epoch: [0][2090/5809] Time 2.708 (4.903) Data 2.648 (4.831) Loss 4.6668 (5.3149) Prec@1 5.859 (2.089) Prec@5 18.359 (8.080) Epoch: [0][2100/5809] Time 3.686 (4.906) Data 3.627 (4.834) Loss 4.6421 (5.3122) Prec@1 5.469 (2.105) Prec@5 21.094 (8.131) Epoch: [0][2110/5809] Time 16.553 (4.911) Data 16.483 (4.839) Loss 4.7461 (5.3094) Prec@1 7.422 (2.121) Prec@5 17.188 (8.177) Epoch: [0][2120/5809] Time 5.917 (4.914) Data 5.856 (4.842) Loss 4.5865 (5.3065) Prec@1 4.688 (2.137) Prec@5 20.312 (8.225) Epoch: [0][2130/5809] Time 8.882 (4.918) Data 8.822 (4.846) Loss 4.7467 (5.3035) Prec@1 6.641 (2.153) Prec@5 16.406 (8.278) Epoch: [0][2140/5809] Time 0.134 (4.922) Data 0.001 (4.850) Loss 4.5864 (5.3008) Prec@1 6.250 (2.168) Prec@5 20.312 (8.322) Epoch: [0][2150/5809] Time 9.865 (4.930) Data 9.805 (4.858) Loss 4.7376 (5.2980) Prec@1 5.078 (2.185) Prec@5 19.141 (8.372) Epoch: [0][2160/5809] Time 3.018 (4.934) Data 2.958 (4.862) Loss 4.6976 (5.2951) Prec@1 5.078 (2.199) Prec@5 17.188 (8.419) Epoch: [0][2170/5809] Time 3.819 (4.940) Data 3.756 (4.868) Loss 4.5403 (5.2923) Prec@1 8.594 (2.218) Prec@5 24.219 (8.469) Epoch: [0][2180/5809] Time 9.139 (4.946) Data 9.079 (4.874) Loss 4.7520 (5.2893) Prec@1 7.031 (2.239) Prec@5 18.750 (8.524) Epoch: [0][2190/5809] Time 5.272 (4.951) Data 5.212 (4.879) Loss 4.7452 (5.2869) Prec@1 3.516 (2.252) Prec@5 17.188 (8.572) Epoch: [0][2200/5809] Time 11.000 (4.956) Data 10.940 (4.885) Loss 4.7009 (5.2840) Prec@1 4.297 (2.267) Prec@5 21.094 (8.624) Epoch: [0][2210/5809] Time 2.060 (4.959) Data 1.997 (4.887) Loss 4.5690 (5.2809) Prec@1 5.469 (2.286) Prec@5 20.703 (8.684) Epoch: [0][2220/5809] Time 12.019 (4.964) Data 11.959 (4.892) Loss 4.7682 (5.2781) Prec@1 4.688 (2.302) Prec@5 20.703 (8.737) Epoch: [0][2230/5809] Time 0.134 (4.968) Data 0.001 (4.896) Loss 4.5652 (5.2753) Prec@1 7.812 (2.316) Prec@5 20.703 (8.787) Epoch: [0][2240/5809] Time 21.262 (4.974) Data 21.199 (4.902) Loss 4.7461 (5.2729) Prec@1 7.031 (2.331) Prec@5 17.969 (8.828) Epoch: [0][2250/5809] Time 0.133 (4.971) Data 0.064 (4.899) Loss 4.7634 (5.2703) Prec@1 5.859 (2.348) Prec@5 17.188 (8.879) Epoch: [0][2260/5809] Time 14.428 (4.979) Data 14.363 (4.907) Loss 4.7480 (5.2675) Prec@1 5.469 (2.364) Prec@5 16.797 (8.924) Epoch: [0][2270/5809] Time 0.877 (4.981) Data 0.817 (4.909) Loss 4.5622 (5.2649) Prec@1 7.812 (2.379) Prec@5 24.219 (8.974) Epoch: [0][2280/5809] Time 11.303 (4.989) Data 11.244 (4.917) Loss 4.5900 (5.2621) Prec@1 8.594 (2.398) Prec@5 24.609 (9.029) Epoch: [0][2290/5809] Time 0.132 (4.991) Data 0.001 (4.919) Loss 4.7384 (5.2594) Prec@1 8.203 (2.412) Prec@5 21.484 (9.081) Epoch: [0][2300/5809] Time 4.703 (4.995) Data 4.643 (4.923) Loss 4.4818 (5.2567) Prec@1 8.984 (2.429) Prec@5 25.000 (9.129) Epoch: [0][2310/5809] Time 5.740 (4.993) Data 5.681 (4.921) Loss 4.5390 (5.2539) Prec@1 8.594 (2.452) Prec@5 23.438 (9.187) Epoch: [0][2320/5809] Time 5.311 (4.995) Data 5.247 (4.923) Loss 4.7243 (5.2514) Prec@1 4.688 (2.468) Prec@5 16.406 (9.235) Epoch: [0][2330/5809] Time 6.466 (4.999) Data 6.406 (4.927) Loss 4.3916 (5.2486) Prec@1 8.594 (2.488) Prec@5 25.781 (9.289) Epoch: [0][2340/5809] Time 5.435 (5.003) Data 5.372 (4.932) Loss 4.7113 (5.2458) Prec@1 5.859 (2.505) Prec@5 19.531 (9.335) Epoch: [0][2350/5809] Time 4.991 (5.010) Data 4.928 (4.939) Loss 4.5817 (5.2429) Prec@1 6.641 (2.524) Prec@5 20.312 (9.389) Epoch: [0][2360/5809] Time 5.701 (5.015) Data 5.642 (4.943) Loss 4.7586 (5.2401) Prec@1 4.297 (2.539) Prec@5 19.531 (9.442) Epoch: [0][2370/5809] Time 7.102 (5.024) Data 7.041 (4.953) Loss 4.7381 (5.2376) Prec@1 7.031 (2.557) Prec@5 21.094 (9.494) Epoch: [0][2380/5809] Time 12.212 (5.032) Data 12.151 (4.960) Loss 4.4968 (5.2349) Prec@1 5.469 (2.575) Prec@5 26.172 (9.550) Epoch: [0][2390/5809] Time 4.387 (5.034) Data 4.324 (4.962) Loss 4.6958 (5.2319) Prec@1 6.641 (2.596) Prec@5 21.484 (9.610) Epoch: [0][2400/5809] Time 10.655 (5.040) Data 10.591 (4.968) Loss 4.6305 (5.2293) Prec@1 7.422 (2.612) Prec@5 22.266 (9.658) Epoch: [0][2410/5809] Time 0.132 (5.041) Data 0.001 (4.969) Loss 4.5987 (5.2266) Prec@1 5.469 (2.631) Prec@5 22.656 (9.711) Epoch: [0][2420/5809] Time 1.824 (5.046) Data 1.763 (4.974) Loss 4.5326 (5.2239) Prec@1 7.812 (2.654) Prec@5 25.000 (9.764) Epoch: [0][2430/5809] Time 0.491 (5.049) Data 0.430 (4.977) Loss 4.6999 (5.2216) Prec@1 7.422 (2.667) Prec@5 22.266 (9.809) Epoch: [0][2440/5809] Time 5.076 (5.053) Data 5.015 (4.981) Loss 4.4863 (5.2190) Prec@1 6.250 (2.685) Prec@5 21.875 (9.859) Epoch: [0][2450/5809] Time 2.906 (5.055) Data 2.846 (4.984) Loss 4.4857 (5.2163) Prec@1 9.375 (2.704) Prec@5 23.047 (9.910) Epoch: [0][2460/5809] Time 1.321 (5.059) Data 1.261 (4.988) Loss 4.5482 (5.2134) Prec@1 5.078 (2.722) Prec@5 24.609 (9.966) Epoch: [0][2470/5809] Time 0.414 (5.059) Data 0.354 (4.988) Loss 4.5942 (5.2107) Prec@1 8.594 (2.743) Prec@5 20.703 (10.018) Epoch: [0][2480/5809] Time 0.140 (5.064) Data 0.001 (4.993) Loss 4.5513 (5.2080) Prec@1 7.422 (2.763) Prec@5 23.047 (10.072) Epoch: [0][2490/5809] Time 0.133 (5.066) Data 0.001 (4.995) Loss 4.6319 (5.2054) Prec@1 6.250 (2.780) Prec@5 22.656 (10.124) Epoch: [0][2500/5809] Time 0.847 (5.071) Data 0.782 (5.000) Loss 4.4396 (5.2027) Prec@1 7.422 (2.794) Prec@5 23.438 (10.175) Epoch: [0][2510/5809] Time 4.981 (5.078) Data 4.919 (5.006) Loss 4.5823 (5.2000) Prec@1 8.594 (2.815) Prec@5 22.266 (10.231) Epoch: [0][2520/5809] Time 0.132 (5.085) Data 0.054 (5.014) Loss 4.5330 (5.1975) Prec@1 7.031 (2.832) Prec@5 23.047 (10.283) Epoch: [0][2530/5809] Time 7.818 (5.089) Data 7.758 (5.018) Loss 4.4049 (5.1946) Prec@1 7.812 (2.851) Prec@5 25.000 (10.340) Epoch: [0][2540/5809] Time 2.538 (5.096) Data 2.477 (5.025) Loss 4.3791 (5.1919) Prec@1 9.375 (2.868) Prec@5 24.609 (10.388) Epoch: [0][2550/5809] Time 12.623 (5.099) Data 12.563 (5.028) Loss 4.4476 (5.1891) Prec@1 8.203 (2.888) Prec@5 22.656 (10.441) Epoch: [0][2560/5809] Time 3.202 (5.104) Data 3.139 (5.033) Loss 4.5067 (5.1864) Prec@1 8.984 (2.907) Prec@5 21.094 (10.492) Epoch: [0][2570/5809] Time 11.105 (5.107) Data 11.044 (5.036) Loss 4.5597 (5.1837) Prec@1 6.641 (2.927) Prec@5 23.047 (10.541) Epoch: [0][2580/5809] Time 9.070 (5.115) Data 9.010 (5.044) Loss 4.3544 (5.1809) Prec@1 11.328 (2.950) Prec@5 32.422 (10.599) Epoch: [0][2590/5809] Time 12.769 (5.118) Data 12.707 (5.047) Loss 4.4910 (5.1782) Prec@1 9.766 (2.971) Prec@5 30.078 (10.652) Epoch: [0][2600/5809] Time 12.125 (5.120) Data 12.065 (5.049) Loss 4.6245 (5.1757) Prec@1 7.422 (2.988) Prec@5 22.656 (10.699) Epoch: [0][2610/5809] Time 9.407 (5.124) Data 9.347 (5.053) Loss 4.4382 (5.1732) Prec@1 5.859 (3.007) Prec@5 25.391 (10.752) Epoch: [0][2620/5809] Time 11.504 (5.127) Data 11.444 (5.056) Loss 4.5533 (5.1704) Prec@1 8.203 (3.025) Prec@5 26.172 (10.807) Epoch: [0][2630/5809] Time 0.462 (5.128) Data 0.402 (5.057) Loss 4.7533 (5.1680) Prec@1 4.297 (3.039) Prec@5 18.359 (10.854) Epoch: [0][2640/5809] Time 4.266 (5.129) Data 4.205 (5.058) Loss 4.5312 (5.1654) Prec@1 5.859 (3.056) Prec@5 22.656 (10.903) Epoch: [0][2650/5809] Time 1.257 (5.132) Data 1.197 (5.061) Loss 4.4850 (5.1628) Prec@1 7.812 (3.075) Prec@5 23.828 (10.954) Epoch: [0][2660/5809] Time 7.662 (5.132) Data 7.601 (5.061) Loss 4.5772 (5.1604) Prec@1 6.250 (3.094) Prec@5 22.656 (11.006) Epoch: [0][2670/5809] Time 2.325 (5.136) Data 2.260 (5.065) Loss 4.5635 (5.1580) Prec@1 7.422 (3.113) Prec@5 21.875 (11.051) Epoch: [0][2680/5809] Time 0.835 (5.134) Data 0.775 (5.063) Loss 4.4372 (5.1554) Prec@1 8.594 (3.131) Prec@5 24.219 (11.102) Epoch: [0][2690/5809] Time 0.568 (5.140) Data 0.507 (5.069) Loss 4.5841 (5.1528) Prec@1 7.422 (3.150) Prec@5 25.781 (11.154) Epoch: [0][2700/5809] Time 0.923 (5.140) Data 0.863 (5.069) Loss 4.7048 (5.1504) Prec@1 4.297 (3.168) Prec@5 17.969 (11.202) Epoch: [0][2710/5809] Time 0.780 (5.145) Data 0.720 (5.074) Loss 4.5577 (5.1481) Prec@1 5.469 (3.184) Prec@5 27.734 (11.252) Epoch: [0][2720/5809] Time 0.132 (5.144) Data 0.001 (5.073) Loss 4.4613 (5.1455) Prec@1 5.859 (3.202) Prec@5 24.219 (11.310) Epoch: [0][2730/5809] Time 0.133 (5.152) Data 0.001 (5.081) Loss 4.6190 (5.1430) Prec@1 8.594 (3.221) Prec@5 23.047 (11.362) Epoch: [0][2740/5809] Time 0.134 (5.152) Data 0.001 (5.080) Loss 4.5323 (5.1405) Prec@1 5.469 (3.237) Prec@5 23.047 (11.413) Epoch: [0][2750/5809] Time 5.569 (5.160) Data 5.503 (5.089) Loss 4.4212 (5.1381) Prec@1 9.375 (3.254) Prec@5 28.516 (11.463) Epoch: [0][2760/5809] Time 0.673 (5.157) Data 0.614 (5.086) Loss 4.4064 (5.1354) Prec@1 8.203 (3.278) Prec@5 25.000 (11.520) Epoch: [0][2770/5809] Time 4.514 (5.164) Data 4.455 (5.093) Loss 4.3865 (5.1329) Prec@1 10.938 (3.299) Prec@5 27.344 (11.575) Epoch: [0][2780/5809] Time 4.759 (5.168) Data 4.699 (5.097) Loss 4.4148 (5.1304) Prec@1 8.984 (3.320) Prec@5 25.781 (11.625) Epoch: [0][2790/5809] Time 2.060 (5.174) Data 2.001 (5.103) Loss 4.6417 (5.1280) Prec@1 4.688 (3.336) Prec@5 19.531 (11.671) Epoch: [0][2800/5809] Time 6.670 (5.179) Data 6.610 (5.108) Loss 4.4305 (5.1254) Prec@1 9.375 (3.354) Prec@5 26.953 (11.721) Epoch: [0][2810/5809] Time 0.668 (5.184) Data 0.604 (5.113) Loss 4.2787 (5.1227) Prec@1 9.766 (3.374) Prec@5 32.031 (11.774) Epoch: [0][2820/5809] Time 18.623 (5.192) Data 18.564 (5.121) Loss 4.5361 (5.1201) Prec@1 7.422 (3.393) Prec@5 26.562 (11.826) Epoch: [0][2830/5809] Time 0.490 (5.194) Data 0.430 (5.123) Loss 4.4284 (5.1174) Prec@1 8.984 (3.415) Prec@5 28.906 (11.882) Epoch: [0][2840/5809] Time 22.826 (5.203) Data 22.760 (5.132) Loss 4.3916 (5.1150) Prec@1 9.375 (3.433) Prec@5 29.297 (11.933) Epoch: [0][2850/5809] Time 2.637 (5.207) Data 2.578 (5.136) Loss 4.5173 (5.1125) Prec@1 5.859 (3.454) Prec@5 23.438 (11.984) Epoch: [0][2860/5809] Time 25.688 (5.217) Data 25.627 (5.146) Loss 4.5127 (5.1102) Prec@1 6.250 (3.469) Prec@5 25.000 (12.031) Epoch: [0][2870/5809] Time 0.132 (5.219) Data 0.001 (5.148) Loss 4.2382 (5.1077) Prec@1 10.547 (3.488) Prec@5 29.688 (12.081) Epoch: [0][2880/5809] Time 15.649 (5.227) Data 15.586 (5.156) Loss 4.3360 (5.1054) Prec@1 10.156 (3.508) Prec@5 29.688 (12.131) Epoch: [0][2890/5809] Time 2.642 (5.231) Data 2.581 (5.160) Loss 4.4422 (5.1029) Prec@1 6.641 (3.527) Prec@5 27.734 (12.181) Epoch: [0][2900/5809] Time 23.045 (5.240) Data 22.985 (5.169) Loss 4.2409 (5.1005) Prec@1 12.109 (3.545) Prec@5 31.641 (12.229) Epoch: [0][2910/5809] Time 1.710 (5.241) Data 1.651 (5.170) Loss 4.4022 (5.0981) Prec@1 9.766 (3.563) Prec@5 25.781 (12.278) Epoch: [0][2920/5809] Time 25.768 (5.250) Data 25.700 (5.179) Loss 4.3336 (5.0956) Prec@1 10.156 (3.582) Prec@5 28.516 (12.331) Epoch: [0][2930/5809] Time 0.134 (5.251) Data 0.001 (5.180) Loss 4.4415 (5.0934) Prec@1 9.375 (3.599) Prec@5 24.219 (12.375) Epoch: [0][2940/5809] Time 18.125 (5.259) Data 18.061 (5.188) Loss 4.5263 (5.0912) Prec@1 8.203 (3.616) Prec@5 22.656 (12.420) Epoch: [0][2950/5809] Time 0.133 (5.260) Data 0.001 (5.189) Loss 4.4271 (5.0889) Prec@1 9.375 (3.634) Prec@5 24.219 (12.467) Epoch: [0][2960/5809] Time 13.522 (5.265) Data 13.460 (5.194) Loss 4.4122 (5.0863) Prec@1 8.594 (3.653) Prec@5 25.000 (12.518) Epoch: [0][2970/5809] Time 2.668 (5.269) Data 2.608 (5.197) Loss 4.3334 (5.0839) Prec@1 11.328 (3.673) Prec@5 26.562 (12.569) Epoch: [0][2980/5809] Time 14.595 (5.275) Data 14.533 (5.204) Loss 4.2975 (5.0815) Prec@1 7.812 (3.691) Prec@5 31.250 (12.619) Epoch: [0][2990/5809] Time 1.158 (5.280) Data 1.099 (5.209) Loss 4.2804 (5.0791) Prec@1 11.719 (3.708) Prec@5 30.078 (12.667) Epoch: [0][3000/5809] Time 12.519 (5.284) Data 12.458 (5.213) Loss 4.2808 (5.0766) Prec@1 12.109 (3.729) Prec@5 32.812 (12.718) Epoch: [0][3010/5809] Time 2.098 (5.289) Data 2.036 (5.218) Loss 4.3496 (5.0744) Prec@1 7.422 (3.744) Prec@5 28.516 (12.762) Epoch: [0][3020/5809] Time 10.032 (5.294) Data 9.972 (5.223) Loss 4.3138 (5.0720) Prec@1 8.594 (3.763) Prec@5 26.953 (12.808) Epoch: [0][3030/5809] Time 6.360 (5.301) Data 6.300 (5.230) Loss 4.4318 (5.0698) Prec@1 6.250 (3.781) Prec@5 26.172 (12.856) Epoch: [0][3040/5809] Time 11.692 (5.306) Data 11.631 (5.235) Loss 4.5555 (5.0677) Prec@1 10.547 (3.798) Prec@5 27.734 (12.899) Epoch: [0][3050/5809] Time 0.134 (5.311) Data 0.001 (5.240) Loss 4.3330 (5.0656) Prec@1 9.375 (3.814) Prec@5 29.688 (12.945) Epoch: [0][3060/5809] Time 9.169 (5.316) Data 9.108 (5.245) Loss 4.4110 (5.0632) Prec@1 9.375 (3.829) Prec@5 28.125 (12.997) Epoch: [0][3070/5809] Time 6.856 (5.325) Data 6.795 (5.254) Loss 4.3320 (5.0609) Prec@1 9.766 (3.849) Prec@5 29.688 (13.045) Epoch: [0][3080/5809] Time 9.129 (5.330) Data 9.069 (5.259) Loss 4.3152 (5.0585) Prec@1 10.547 (3.869) Prec@5 30.469 (13.095) Epoch: [0][3090/5809] Time 4.559 (5.335) Data 4.498 (5.264) Loss 4.3150 (5.0561) Prec@1 10.547 (3.889) Prec@5 28.516 (13.143) Epoch: [0][3100/5809] Time 12.713 (5.342) Data 12.653 (5.271) Loss 4.3472 (5.0537) Prec@1 7.422 (3.908) Prec@5 24.219 (13.191) Epoch: [0][3110/5809] Time 5.554 (5.349) Data 5.495 (5.278) Loss 4.3874 (5.0512) Prec@1 10.547 (3.928) Prec@5 28.906 (13.242) Epoch: [0][3120/5809] Time 8.335 (5.356) Data 8.275 (5.285) Loss 4.1718 (5.0489) Prec@1 10.156 (3.945) Prec@5 33.594 (13.287) Epoch: [0][3130/5809] Time 6.442 (5.360) Data 6.383 (5.289) Loss 4.2666 (5.0466) Prec@1 12.500 (3.965) Prec@5 30.078 (13.336) Epoch: [0][3140/5809] Time 7.962 (5.367) Data 7.898 (5.296) Loss 4.2569 (5.0443) Prec@1 14.453 (3.982) Prec@5 32.812 (13.383) Epoch: [0][3150/5809] Time 3.238 (5.371) Data 3.179 (5.300) Loss 4.2260 (5.0420) Prec@1 9.766 (4.003) Prec@5 30.469 (13.434) Epoch: [0][3160/5809] Time 13.807 (5.380) Data 13.747 (5.309) Loss 4.2827 (5.0395) Prec@1 10.938 (4.022) Prec@5 29.297 (13.485) Epoch: [0][3170/5809] Time 2.141 (5.385) Data 2.081 (5.314) Loss 4.2351 (5.0371) Prec@1 11.719 (4.042) Prec@5 31.250 (13.538) Epoch: [0][3180/5809] Time 3.365 (5.395) Data 3.302 (5.324) Loss 4.1664 (5.0347) Prec@1 11.328 (4.059) Prec@5 31.641 (13.584) Epoch: [0][3190/5809] Time 1.880 (5.400) Data 1.821 (5.330) Loss 4.6257 (5.0327) Prec@1 10.547 (4.077) Prec@5 24.609 (13.628) Epoch: [0][3200/5809] Time 5.848 (5.410) Data 5.788 (5.340) Loss 4.3992 (5.0304) Prec@1 8.203 (4.094) Prec@5 27.344 (13.677) Epoch: [0][3210/5809] Time 0.324 (5.416) Data 0.264 (5.345) Loss 4.3670 (5.0281) Prec@1 7.422 (4.112) Prec@5 26.562 (13.724) Epoch: [0][3220/5809] Time 10.007 (5.428) Data 9.944 (5.358) Loss 4.3877 (5.0259) Prec@1 8.203 (4.128) Prec@5 26.562 (13.766) Epoch: [0][3230/5809] Time 9.375 (5.435) Data 9.314 (5.365) Loss 4.2454 (5.0237) Prec@1 12.109 (4.148) Prec@5 30.859 (13.810) Epoch: [0][3240/5809] Time 16.562 (5.448) Data 16.500 (5.377) Loss 4.4348 (5.0214) Prec@1 6.641 (4.166) Prec@5 25.000 (13.859) Epoch: [0][3250/5809] Time 0.878 (5.450) Data 0.817 (5.380) Loss 4.2415 (5.0190) Prec@1 14.844 (4.188) Prec@5 32.812 (13.908) Epoch: [0][3260/5809] Time 9.588 (5.461) Data 9.525 (5.390) Loss 4.3101 (5.0168) Prec@1 10.156 (4.206) Prec@5 24.609 (13.956) Epoch: [0][3270/5809] Time 3.440 (5.466) Data 3.381 (5.396) Loss 4.5074 (5.0146) Prec@1 8.594 (4.222) Prec@5 26.172 (14.000) Epoch: [0][3280/5809] Time 6.221 (5.476) Data 6.161 (5.405) Loss 4.1482 (5.0124) Prec@1 13.281 (4.242) Prec@5 32.812 (14.047) Epoch: [0][3290/5809] Time 3.966 (5.478) Data 3.906 (5.408) Loss 4.4644 (5.0102) Prec@1 8.594 (4.261) Prec@5 25.391 (14.093) Epoch: [0][3300/5809] Time 8.915 (5.489) Data 8.854 (5.419) Loss 4.2450 (5.0080) Prec@1 10.547 (4.279) Prec@5 30.078 (14.139) Epoch: [0][3310/5809] Time 2.430 (5.493) Data 2.370 (5.422) Loss 4.2940 (5.0057) Prec@1 10.156 (4.299) Prec@5 26.953 (14.186) Epoch: [0][3320/5809] Time 1.692 (5.503) Data 1.632 (5.432) Loss 4.1955 (5.0035) Prec@1 11.328 (4.319) Prec@5 32.812 (14.233) Epoch: [0][3330/5809] Time 0.134 (5.505) Data 0.001 (5.435) Loss 4.2308 (5.0012) Prec@1 9.375 (4.340) Prec@5 31.641 (14.285) Epoch: [0][3340/5809] Time 2.241 (5.512) Data 2.181 (5.442) Loss 4.1931 (4.9991) Prec@1 9.766 (4.356) Prec@5 33.984 (14.332) Epoch: [0][3350/5809] Time 7.719 (5.519) Data 7.659 (5.448) Loss 4.1850 (4.9970) Prec@1 12.891 (4.374) Prec@5 30.078 (14.375) Epoch: [0][3360/5809] Time 8.056 (5.525) Data 7.995 (5.454) Loss 4.3047 (4.9949) Prec@1 10.938 (4.391) Prec@5 28.516 (14.420) Epoch: [0][3370/5809] Time 2.759 (5.527) Data 2.698 (5.457) Loss 4.2556 (4.9928) Prec@1 10.547 (4.408) Prec@5 32.812 (14.465) Epoch: [0][3380/5809] Time 8.078 (5.533) Data 8.017 (5.462) Loss 4.2624 (4.9905) Prec@1 10.938 (4.430) Prec@5 28.906 (14.514) Epoch: [0][3390/5809] Time 3.032 (5.534) Data 2.972 (5.464) Loss 4.3081 (4.9883) Prec@1 10.938 (4.448) Prec@5 25.000 (14.560) Epoch: [0][3400/5809] Time 0.133 (5.545) Data 0.001 (5.475) Loss 4.2912 (4.9863) Prec@1 9.375 (4.462) Prec@5 28.125 (14.600) Epoch: [0][3410/5809] Time 1.295 (5.552) Data 1.234 (5.481) Loss 4.3703 (4.9842) Prec@1 6.641 (4.478) Prec@5 27.344 (14.648) Epoch: [0][3420/5809] Time 5.088 (5.566) Data 5.027 (5.496) Loss 4.2172 (4.9820) Prec@1 10.547 (4.495) Prec@5 29.297 (14.695) Epoch: [0][3430/5809] Time 5.642 (5.571) Data 5.581 (5.501) Loss 4.2645 (4.9800) Prec@1 11.328 (4.511) Prec@5 30.469 (14.736) Epoch: [0][3440/5809] Time 12.256 (5.584) Data 12.192 (5.514) Loss 4.2992 (4.9778) Prec@1 10.547 (4.526) Prec@5 27.734 (14.782) Epoch: [0][3450/5809] Time 0.496 (5.588) Data 0.436 (5.518) Loss 4.2031 (4.9756) Prec@1 8.984 (4.545) Prec@5 32.031 (14.827) Epoch: [0][3460/5809] Time 12.938 (5.602) Data 12.875 (5.532) Loss 4.2315 (4.9735) Prec@1 9.766 (4.561) Prec@5 29.297 (14.870) Epoch: [0][3470/5809] Time 0.740 (5.606) Data 0.681 (5.535) Loss 4.2458 (4.9714) Prec@1 12.109 (4.578) Prec@5 28.906 (14.916) Epoch: [0][3480/5809] Time 17.068 (5.617) Data 17.005 (5.547) Loss 4.1325 (4.9692) Prec@1 12.500 (4.594) Prec@5 29.688 (14.958) Epoch: [0][3490/5809] Time 0.133 (5.620) Data 0.001 (5.550) Loss 4.1664 (4.9670) Prec@1 7.812 (4.613) Prec@5 30.859 (15.007) Epoch: [0][3500/5809] Time 20.842 (5.633) Data 20.781 (5.563) Loss 4.2513 (4.9649) Prec@1 12.109 (4.629) Prec@5 33.984 (15.053) Epoch: [0][3510/5809] Time 0.476 (5.636) Data 0.416 (5.566) Loss 4.2427 (4.9627) Prec@1 10.156 (4.651) Prec@5 29.297 (15.096) Epoch: [0][3520/5809] Time 18.761 (5.646) Data 18.699 (5.575) Loss 4.3415 (4.9606) Prec@1 9.766 (4.669) Prec@5 26.953 (15.141) Epoch: [0][3530/5809] Time 5.595 (5.651) Data 5.535 (5.581) Loss 4.3112 (4.9585) Prec@1 10.156 (4.686) Prec@5 25.781 (15.188) Epoch: [0][3540/5809] Time 12.918 (5.659) Data 12.859 (5.589) Loss 4.2119 (4.9562) Prec@1 11.719 (4.704) Prec@5 30.859 (15.236) Epoch: [0][3550/5809] Time 3.921 (5.666) Data 3.861 (5.595) Loss 4.1350 (4.9541) Prec@1 14.062 (4.724) Prec@5 33.984 (15.280) Epoch: [0][3560/5809] Time 9.625 (5.672) Data 9.566 (5.602) Loss 4.0953 (4.9520) Prec@1 9.766 (4.743) Prec@5 30.469 (15.325) Epoch: [0][3570/5809] Time 5.925 (5.679) Data 5.866 (5.609) Loss 4.2006 (4.9500) Prec@1 10.938 (4.760) Prec@5 34.766 (15.366) Epoch: [0][3580/5809] Time 7.959 (5.684) Data 7.895 (5.614) Loss 4.2467 (4.9478) Prec@1 11.719 (4.779) Prec@5 32.812 (15.410) Epoch: [0][3590/5809] Time 7.048 (5.691) Data 6.986 (5.621) Loss 4.3256 (4.9459) Prec@1 10.547 (4.794) Prec@5 32.031 (15.451) Epoch: [0][3600/5809] Time 17.819 (5.699) Data 17.760 (5.628) Loss 4.2149 (4.9440) Prec@1 8.203 (4.810) Prec@5 30.078 (15.489) Epoch: [0][3610/5809] Time 5.231 (5.704) Data 5.173 (5.634) Loss 4.3855 (4.9420) Prec@1 9.766 (4.828) Prec@5 27.344 (15.532) Epoch: [0][3620/5809] Time 13.702 (5.713) Data 13.640 (5.643) Loss 4.0897 (4.9400) Prec@1 12.500 (4.845) Prec@5 31.641 (15.577) Epoch: [0][3630/5809] Time 1.978 (5.721) Data 1.918 (5.651) Loss 4.1766 (4.9378) Prec@1 8.594 (4.865) Prec@5 30.859 (15.623) Epoch: [0][3640/5809] Time 21.038 (5.732) Data 20.980 (5.662) Loss 4.1573 (4.9357) Prec@1 12.109 (4.884) Prec@5 32.812 (15.666) Epoch: [0][3650/5809] Time 2.335 (5.740) Data 2.275 (5.670) Loss 4.1462 (4.9335) Prec@1 9.766 (4.901) Prec@5 33.203 (15.712) Epoch: [0][3660/5809] Time 28.356 (5.752) Data 28.297 (5.682) Loss 4.2153 (4.9314) Prec@1 9.766 (4.919) Prec@5 28.906 (15.755) Epoch: [0][3670/5809] Time 0.856 (5.761) Data 0.795 (5.691) Loss 4.2114 (4.9293) Prec@1 10.938 (4.938) Prec@5 31.641 (15.797) Epoch: [0][3680/5809] Time 33.216 (5.779) Data 33.152 (5.709) Loss 4.2301 (4.9273) Prec@1 12.109 (4.954) Prec@5 30.078 (15.840) Epoch: [0][3690/5809] Time 0.135 (5.788) Data 0.001 (5.718) Loss 4.1158 (4.9251) Prec@1 12.891 (4.972) Prec@5 30.469 (15.885) Epoch: [0][3700/5809] Time 38.941 (5.807) Data 38.877 (5.737) Loss 4.1130 (4.9230) Prec@1 13.281 (4.993) Prec@5 31.641 (15.930) Epoch: [0][3710/5809] Time 1.473 (5.817) Data 1.415 (5.747) Loss 4.1453 (4.9209) Prec@1 13.672 (5.012) Prec@5 33.984 (15.976) Epoch: [0][3720/5809] Time 38.120 (5.838) Data 38.062 (5.768) Loss 4.2801 (4.9189) Prec@1 10.156 (5.033) Prec@5 28.906 (16.022) Epoch: [0][3730/5809] Time 12.641 (5.849) Data 12.575 (5.779) Loss 4.1638 (4.9170) Prec@1 7.812 (5.047) Prec@5 33.203 (16.065) Epoch: [0][3740/5809] Time 26.482 (5.865) Data 26.422 (5.795) Loss 4.0732 (4.9149) Prec@1 13.672 (5.067) Prec@5 35.156 (16.111) Epoch: [0][3750/5809] Time 11.835 (5.876) Data 11.776 (5.806) Loss 4.0635 (4.9128) Prec@1 13.672 (5.088) Prec@5 37.109 (16.152) Epoch: [0][3760/5809] Time 10.879 (5.890) Data 10.819 (5.820) Loss 4.1379 (4.9108) Prec@1 14.453 (5.103) Prec@5 31.641 (16.197) Epoch: [0][3770/5809] Time 14.593 (5.900) Data 14.533 (5.830) Loss 4.2013 (4.9089) Prec@1 13.672 (5.120) Prec@5 30.859 (16.238) Epoch: [0][3780/5809] Time 1.928 (5.913) Data 1.867 (5.843) Loss 4.0705 (4.9067) Prec@1 11.719 (5.139) Prec@5 36.719 (16.285) Epoch: [0][3790/5809] Time 6.259 (5.924) Data 6.199 (5.854) Loss 4.1659 (4.9048) Prec@1 12.109 (5.158) Prec@5 32.031 (16.329) Epoch: [0][3800/5809] Time 0.138 (5.937) Data 0.001 (5.867) Loss 4.4229 (4.9028) Prec@1 6.250 (5.173) Prec@5 26.953 (16.372) Epoch: [0][3810/5809] Time 9.336 (5.945) Data 9.277 (5.875) Loss 4.1375 (4.9008) Prec@1 8.594 (5.189) Prec@5 32.812 (16.415) Epoch: [0][3820/5809] Time 4.005 (5.954) Data 3.945 (5.884) Loss 4.0431 (4.8988) Prec@1 12.500 (5.209) Prec@5 33.203 (16.458) Epoch: [0][3830/5809] Time 17.948 (5.961) Data 17.886 (5.891) Loss 4.2505 (4.8968) Prec@1 14.062 (5.229) Prec@5 32.422 (16.501) Epoch: [0][3840/5809] Time 2.787 (5.969) Data 2.723 (5.900) Loss 4.1264 (4.8948) Prec@1 12.891 (5.247) Prec@5 34.375 (16.544) Epoch: [0][3850/5809] Time 13.261 (5.977) Data 13.202 (5.908) Loss 4.0908 (4.8927) Prec@1 13.281 (5.266) Prec@5 33.984 (16.590) Epoch: [0][3860/5809] Time 0.134 (5.986) Data 0.001 (5.916) Loss 4.1822 (4.8908) Prec@1 10.938 (5.283) Prec@5 30.859 (16.627) Epoch: [0][3870/5809] Time 3.248 (5.993) Data 3.189 (5.923) Loss 4.1335 (4.8889) Prec@1 9.766 (5.298) Prec@5 32.422 (16.666) Epoch: [0][3880/5809] Time 11.131 (6.001) Data 11.071 (5.931) Loss 4.0492 (4.8870) Prec@1 11.328 (5.313) Prec@5 33.984 (16.709) Epoch: [0][3890/5809] Time 5.879 (6.003) Data 5.821 (5.934) Loss 4.3493 (4.8851) Prec@1 9.375 (5.330) Prec@5 27.734 (16.752) Epoch: [0][3900/5809] Time 11.029 (6.009) Data 10.969 (5.939) Loss 3.8818 (4.8831) Prec@1 17.578 (5.349) Prec@5 37.500 (16.796) Epoch: [0][3910/5809] Time 7.763 (6.012) Data 7.702 (5.943) Loss 3.8507 (4.8812) Prec@1 14.844 (5.368) Prec@5 40.234 (16.837) Epoch: [0][3920/5809] Time 11.122 (6.018) Data 11.064 (5.948) Loss 4.0328 (4.8792) Prec@1 11.328 (5.388) Prec@5 30.469 (16.881) Epoch: [0][3930/5809] Time 18.481 (6.027) Data 18.422 (5.957) Loss 4.2330 (4.8771) Prec@1 12.109 (5.408) Prec@5 29.297 (16.924) Epoch: [0][3940/5809] Time 8.126 (6.034) Data 8.067 (5.964) Loss 4.1745 (4.8752) Prec@1 12.500 (5.424) Prec@5 31.250 (16.967) Epoch: [0][3950/5809] Time 23.133 (6.046) Data 23.071 (5.976) Loss 4.1129 (4.8733) Prec@1 13.672 (5.440) Prec@5 34.375 (17.007) Epoch: [0][3960/5809] Time 4.760 (6.052) Data 4.701 (5.982) Loss 4.1152 (4.8713) Prec@1 13.281 (5.457) Prec@5 30.859 (17.048) Epoch: [0][3970/5809] Time 12.726 (6.062) Data 12.667 (5.992) Loss 4.2022 (4.8694) Prec@1 11.719 (5.474) Prec@5 32.422 (17.088) Epoch: [0][3980/5809] Time 3.213 (6.073) Data 3.151 (6.003) Loss 4.0593 (4.8675) Prec@1 14.844 (5.490) Prec@5 36.719 (17.128) Epoch: [0][3990/5809] Time 13.857 (6.082) Data 13.797 (6.012) Loss 4.1079 (4.8655) Prec@1 10.547 (5.507) Prec@5 34.375 (17.170) Epoch: [0][4000/5809] Time 0.142 (6.087) Data 0.001 (6.017) Loss 3.8170 (4.8636) Prec@1 16.406 (5.525) Prec@5 41.797 (17.210) Epoch: [0][4010/5809] Time 9.368 (6.094) Data 9.306 (6.024) Loss 4.1025 (4.8616) Prec@1 14.844 (5.544) Prec@5 33.984 (17.255) Epoch: [0][4020/5809] Time 9.577 (6.100) Data 9.515 (6.030) Loss 4.0789 (4.8595) Prec@1 14.453 (5.564) Prec@5 35.938 (17.301) Epoch: [0][4030/5809] Time 8.735 (6.102) Data 8.677 (6.033) Loss 3.9577 (4.8576) Prec@1 12.109 (5.581) Prec@5 38.281 (17.341) Epoch: [0][4040/5809] Time 3.072 (6.109) Data 3.012 (6.039) Loss 4.0577 (4.8557) Prec@1 14.453 (5.598) Prec@5 37.891 (17.385) Epoch: [0][4050/5809] Time 10.397 (6.111) Data 10.334 (6.042) Loss 3.8641 (4.8537) Prec@1 16.797 (5.617) Prec@5 41.016 (17.427) Epoch: [0][4060/5809] Time 2.142 (6.114) Data 2.083 (6.045) Loss 4.0841 (4.8518) Prec@1 12.891 (5.632) Prec@5 34.375 (17.467) Epoch: [0][4070/5809] Time 17.964 (6.121) Data 17.906 (6.051) Loss 3.9820 (4.8499) Prec@1 12.109 (5.649) Prec@5 37.891 (17.510) Epoch: [0][4080/5809] Time 2.472 (6.122) Data 2.408 (6.053) Loss 4.1701 (4.8479) Prec@1 9.375 (5.667) Prec@5 32.422 (17.554) Epoch: [0][4090/5809] Time 17.499 (6.128) Data 17.440 (6.058) Loss 3.8990 (4.8460) Prec@1 17.188 (5.685) Prec@5 36.719 (17.596) Epoch: [0][4100/5809] Time 0.138 (6.132) Data 0.001 (6.062) Loss 4.1102 (4.8442) Prec@1 13.672 (5.702) Prec@5 32.812 (17.637) Epoch: [0][4110/5809] Time 30.446 (6.140) Data 30.380 (6.071) Loss 3.7858 (4.8421) Prec@1 17.188 (5.721) Prec@5 41.016 (17.681) Epoch: [0][4120/5809] Time 0.132 (6.141) Data 0.001 (6.072) Loss 4.0237 (4.8401) Prec@1 14.062 (5.739) Prec@5 32.031 (17.725) Epoch: [0][4130/5809] Time 30.138 (6.150) Data 30.070 (6.080) Loss 4.1206 (4.8384) Prec@1 12.109 (5.756) Prec@5 32.422 (17.764) Epoch: [0][4140/5809] Time 0.134 (6.150) Data 0.001 (6.080) Loss 4.2171 (4.8365) Prec@1 10.938 (5.770) Prec@5 32.031 (17.801) Epoch: [0][4150/5809] Time 19.955 (6.155) Data 19.893 (6.085) Loss 3.9569 (4.8346) Prec@1 16.016 (5.789) Prec@5 35.547 (17.844) Epoch: [0][4160/5809] Time 1.309 (6.156) Data 1.250 (6.087) Loss 3.9901 (4.8328) Prec@1 12.500 (5.803) Prec@5 35.938 (17.880) Epoch: [0][4170/5809] Time 22.574 (6.165) Data 22.507 (6.095) Loss 3.9034 (4.8309) Prec@1 13.281 (5.819) Prec@5 38.672 (17.918) Epoch: [0][4180/5809] Time 3.572 (6.168) Data 3.511 (6.099) Loss 4.2099 (4.8291) Prec@1 11.719 (5.836) Prec@5 31.641 (17.958) Epoch: [0][4190/5809] Time 17.932 (6.174) Data 17.865 (6.104) Loss 4.0973 (4.8273) Prec@1 12.500 (5.851) Prec@5 32.031 (17.997) Epoch: [0][4200/5809] Time 1.013 (6.173) Data 0.954 (6.103) Loss 4.0363 (4.8255) Prec@1 12.500 (5.867) Prec@5 36.719 (18.037) Epoch: [0][4210/5809] Time 16.011 (6.178) Data 15.949 (6.108) Loss 4.0296 (4.8236) Prec@1 12.891 (5.884) Prec@5 36.328 (18.078) Epoch: [0][4220/5809] Time 1.488 (6.178) Data 1.429 (6.108) Loss 3.9962 (4.8216) Prec@1 14.844 (5.901) Prec@5 35.156 (18.119) Epoch: [0][4230/5809] Time 26.680 (6.188) Data 26.612 (6.118) Loss 4.0797 (4.8197) Prec@1 12.109 (5.919) Prec@5 36.328 (18.159) Epoch: [0][4240/5809] Time 0.135 (6.188) Data 0.001 (6.118) Loss 4.2416 (4.8180) Prec@1 7.031 (5.936) Prec@5 28.516 (18.198) Epoch: [0][4250/5809] Time 24.339 (6.198) Data 24.279 (6.128) Loss 3.8505 (4.8162) Prec@1 16.797 (5.952) Prec@5 40.234 (18.237) Epoch: [0][4260/5809] Time 0.132 (6.197) Data 0.001 (6.127) Loss 3.9993 (4.8144) Prec@1 12.891 (5.968) Prec@5 35.547 (18.276) Epoch: [0][4270/5809] Time 20.887 (6.202) Data 20.823 (6.132) Loss 4.1657 (4.8124) Prec@1 13.281 (5.990) Prec@5 33.984 (18.322) Epoch: [0][4280/5809] Time 2.973 (6.207) Data 2.914 (6.137) Loss 3.9952 (4.8105) Prec@1 14.844 (6.009) Prec@5 37.109 (18.363) Epoch: [0][4290/5809] Time 25.737 (6.217) Data 25.673 (6.148) Loss 4.0676 (4.8088) Prec@1 9.766 (6.024) Prec@5 34.375 (18.400) Epoch: [0][4300/5809] Time 1.317 (6.222) Data 1.254 (6.152) Loss 4.0333 (4.8070) Prec@1 11.719 (6.041) Prec@5 37.109 (18.441) Epoch: [0][4310/5809] Time 26.097 (6.232) Data 26.037 (6.162) Loss 3.8927 (4.8052) Prec@1 13.672 (6.058) Prec@5 39.062 (18.481) Epoch: [0][4320/5809] Time 2.503 (6.235) Data 2.444 (6.165) Loss 4.1083 (4.8035) Prec@1 12.500 (6.075) Prec@5 34.375 (18.519) Epoch: [0][4330/5809] Time 22.513 (6.243) Data 22.452 (6.173) Loss 4.0062 (4.8018) Prec@1 14.844 (6.092) Prec@5 32.812 (18.556) Epoch: [0][4340/5809] Time 2.404 (6.244) Data 2.345 (6.175) Loss 3.8962 (4.8000) Prec@1 14.062 (6.110) Prec@5 37.891 (18.596) Epoch: [0][4350/5809] Time 28.716 (6.254) Data 28.654 (6.184) Loss 4.0610 (4.7983) Prec@1 11.328 (6.126) Prec@5 35.938 (18.634) Epoch: [0][4360/5809] Time 2.665 (6.257) Data 2.598 (6.187) Loss 4.1050 (4.7965) Prec@1 12.109 (6.143) Prec@5 32.422 (18.672) Epoch: [0][4370/5809] Time 33.217 (6.266) Data 33.150 (6.196) Loss 3.9667 (4.7949) Prec@1 14.844 (6.158) Prec@5 34.375 (18.709) Epoch: [0][4380/5809] Time 0.133 (6.269) Data 0.001 (6.199) Loss 4.0052 (4.7932) Prec@1 15.234 (6.177) Prec@5 42.188 (18.750) Epoch: [0][4390/5809] Time 32.070 (6.282) Data 32.010 (6.212) Loss 3.8041 (4.7914) Prec@1 15.234 (6.195) Prec@5 41.016 (18.785) Epoch: [0][4400/5809] Time 0.135 (6.285) Data 0.001 (6.215) Loss 3.9604 (4.7895) Prec@1 13.672 (6.212) Prec@5 34.766 (18.826) Epoch: [0][4410/5809] Time 23.247 (6.294) Data 23.180 (6.224) Loss 3.9719 (4.7878) Prec@1 12.891 (6.227) Prec@5 36.328 (18.864) Epoch: [0][4420/5809] Time 0.133 (6.297) Data 0.001 (6.227) Loss 3.9645 (4.7860) Prec@1 14.062 (6.244) Prec@5 34.766 (18.902) Epoch: [0][4430/5809] Time 35.286 (6.305) Data 35.216 (6.235) Loss 3.9145 (4.7842) Prec@1 16.016 (6.261) Prec@5 39.844 (18.943) Epoch: [0][4440/5809] Time 5.618 (6.307) Data 5.558 (6.238) Loss 3.8958 (4.7825) Prec@1 12.891 (6.275) Prec@5 39.062 (18.981) Epoch: [0][4450/5809] Time 23.626 (6.316) Data 23.567 (6.246) Loss 4.0516 (4.7807) Prec@1 14.062 (6.292) Prec@5 33.203 (19.020) Epoch: [0][4460/5809] Time 7.809 (6.318) Data 7.747 (6.249) Loss 4.0138 (4.7789) Prec@1 15.234 (6.307) Prec@5 38.672 (19.061) Epoch: [0][4470/5809] Time 18.609 (6.322) Data 18.550 (6.252) Loss 3.7878 (4.7772) Prec@1 17.188 (6.323) Prec@5 40.625 (19.095) Epoch: [0][4480/5809] Time 6.349 (6.325) Data 6.287 (6.255) Loss 3.9053 (4.7756) Prec@1 16.797 (6.338) Prec@5 42.188 (19.132) Epoch: [0][4490/5809] Time 15.465 (6.334) Data 15.396 (6.264) Loss 3.9460 (4.7738) Prec@1 14.062 (6.357) Prec@5 39.453 (19.170) Epoch: [0][4500/5809] Time 8.684 (6.337) Data 8.625 (6.268) Loss 4.0275 (4.7721) Prec@1 13.281 (6.372) Prec@5 36.719 (19.208) Epoch: [0][4510/5809] Time 20.539 (6.343) Data 20.480 (6.274) Loss 3.8669 (4.7704) Prec@1 15.234 (6.388) Prec@5 40.625 (19.245) Epoch: [0][4520/5809] Time 5.521 (6.348) Data 5.463 (6.278) Loss 4.0268 (4.7687) Prec@1 12.891 (6.407) Prec@5 35.156 (19.286) Epoch: [0][4530/5809] Time 28.063 (6.356) Data 28.004 (6.286) Loss 3.9173 (4.7670) Prec@1 14.453 (6.421) Prec@5 37.500 (19.323) Epoch: [0][4540/5809] Time 4.928 (6.356) Data 4.865 (6.287) Loss 3.9477 (4.7652) Prec@1 14.062 (6.437) Prec@5 35.938 (19.359) Epoch: [0][4550/5809] Time 18.829 (6.360) Data 18.770 (6.291) Loss 3.9567 (4.7633) Prec@1 14.844 (6.457) Prec@5 39.062 (19.401) Epoch: [0][4560/5809] Time 0.134 (6.362) Data 0.001 (6.292) Loss 3.9909 (4.7618) Prec@1 12.891 (6.471) Prec@5 34.766 (19.435) Epoch: [0][4570/5809] Time 19.790 (6.369) Data 19.726 (6.299) Loss 3.8868 (4.7601) Prec@1 11.719 (6.485) Prec@5 37.109 (19.471) Epoch: [0][4580/5809] Time 1.315 (6.371) Data 1.255 (6.301) Loss 3.9079 (4.7585) Prec@1 12.891 (6.498) Prec@5 43.750 (19.508) Epoch: [0][4590/5809] Time 29.567 (6.382) Data 29.500 (6.312) Loss 3.9947 (4.7569) Prec@1 14.453 (6.513) Prec@5 36.328 (19.539) Epoch: [0][4600/5809] Time 6.022 (6.385) Data 5.962 (6.316) Loss 3.9697 (4.7551) Prec@1 14.453 (6.529) Prec@5 41.797 (19.579) Epoch: [0][4610/5809] Time 17.633 (6.390) Data 17.574 (6.320) Loss 3.8682 (4.7532) Prec@1 16.406 (6.547) Prec@5 38.672 (19.619) Epoch: [0][4620/5809] Time 6.313 (6.393) Data 6.254 (6.323) Loss 3.8060 (4.7515) Prec@1 18.359 (6.565) Prec@5 40.625 (19.655) Epoch: [0][4630/5809] Time 19.740 (6.397) Data 19.676 (6.328) Loss 4.0037 (4.7499) Prec@1 18.359 (6.581) Prec@5 36.719 (19.689) Epoch: [0][4640/5809] Time 1.878 (6.400) Data 1.820 (6.330) Loss 4.1064 (4.7482) Prec@1 16.016 (6.597) Prec@5 33.594 (19.727) Epoch: [0][4650/5809] Time 17.934 (6.408) Data 17.872 (6.338) Loss 3.8612 (4.7465) Prec@1 22.266 (6.615) Prec@5 38.281 (19.762) Epoch: [0][4660/5809] Time 0.368 (6.407) Data 0.308 (6.337) Loss 4.0508 (4.7448) Prec@1 10.156 (6.630) Prec@5 33.984 (19.798) Epoch: [0][4670/5809] Time 13.097 (6.412) Data 13.034 (6.343) Loss 4.0851 (4.7432) Prec@1 14.844 (6.645) Prec@5 32.422 (19.831) Epoch: [0][4680/5809] Time 5.985 (6.415) Data 5.925 (6.345) Loss 3.7930 (4.7416) Prec@1 16.797 (6.660) Prec@5 39.453 (19.866) Epoch: [0][4690/5809] Time 10.200 (6.423) Data 10.142 (6.353) Loss 3.8664 (4.7399) Prec@1 17.578 (6.677) Prec@5 39.453 (19.903) Epoch: [0][4700/5809] Time 2.961 (6.426) Data 2.898 (6.356) Loss 3.9071 (4.7382) Prec@1 18.750 (6.696) Prec@5 38.281 (19.941) Epoch: [0][4710/5809] Time 10.891 (6.434) Data 10.831 (6.364) Loss 3.7304 (4.7364) Prec@1 14.844 (6.712) Prec@5 41.406 (19.980) Epoch: [0][4720/5809] Time 8.645 (6.435) Data 8.584 (6.365) Loss 4.0286 (4.7347) Prec@1 12.891 (6.728) Prec@5 35.156 (20.019) Epoch: [0][4730/5809] Time 13.082 (6.445) Data 13.019 (6.375) Loss 3.9217 (4.7331) Prec@1 16.016 (6.746) Prec@5 40.234 (20.059) Epoch: [0][4740/5809] Time 3.627 (6.448) Data 3.564 (6.378) Loss 4.1187 (4.7314) Prec@1 10.547 (6.763) Prec@5 33.594 (20.096) Epoch: [0][4750/5809] Time 16.978 (6.452) Data 16.918 (6.382) Loss 3.9009 (4.7299) Prec@1 15.234 (6.778) Prec@5 38.672 (20.129) Epoch: [0][4760/5809] Time 4.896 (6.452) Data 4.837 (6.382) Loss 4.0249 (4.7283) Prec@1 11.719 (6.794) Prec@5 35.938 (20.163) Epoch: [0][4770/5809] Time 11.757 (6.455) Data 11.696 (6.385) Loss 3.8748 (4.7267) Prec@1 16.016 (6.809) Prec@5 37.109 (20.199) Epoch: [0][4780/5809] Time 0.135 (6.455) Data 0.001 (6.386) Loss 4.2030 (4.7251) Prec@1 8.594 (6.823) Prec@5 29.297 (20.234) Epoch: [0][4790/5809] Time 15.225 (6.464) Data 15.164 (6.394) Loss 4.0448 (4.7236) Prec@1 14.453 (6.836) Prec@5 37.109 (20.268) Epoch: [0][4800/5809] Time 5.842 (6.466) Data 5.781 (6.396) Loss 3.8250 (4.7219) Prec@1 16.797 (6.852) Prec@5 41.797 (20.308) Epoch: [0][4810/5809] Time 10.768 (6.474) Data 10.708 (6.405) Loss 3.9229 (4.7202) Prec@1 10.938 (6.866) Prec@5 32.422 (20.345) Epoch: [0][4820/5809] Time 5.077 (6.480) Data 5.012 (6.410) Loss 3.8847 (4.7186) Prec@1 11.328 (6.881) Prec@5 37.109 (20.376) Epoch: [0][4830/5809] Time 19.802 (6.488) Data 19.742 (6.419) Loss 3.8245 (4.7169) Prec@1 16.406 (6.900) Prec@5 37.891 (20.414) Epoch: [0][4840/5809] Time 5.831 (6.494) Data 5.772 (6.424) Loss 3.9787 (4.7152) Prec@1 12.500 (6.917) Prec@5 37.109 (20.451) Epoch: [0][4850/5809] Time 17.886 (6.504) Data 17.825 (6.434) Loss 3.7543 (4.7137) Prec@1 17.188 (6.931) Prec@5 38.672 (20.485) Epoch: [0][4860/5809] Time 4.340 (6.507) Data 4.281 (6.437) Loss 3.9485 (4.7121) Prec@1 16.016 (6.949) Prec@5 36.719 (20.519) Epoch: [0][4870/5809] Time 16.851 (6.514) Data 16.792 (6.445) Loss 3.8335 (4.7103) Prec@1 14.844 (6.968) Prec@5 44.141 (20.563) Epoch: [0][4880/5809] Time 2.952 (6.519) Data 2.886 (6.449) Loss 4.0890 (4.7087) Prec@1 14.062 (6.986) Prec@5 33.594 (20.598) Epoch: [0][4890/5809] Time 14.444 (6.524) Data 14.383 (6.454) Loss 3.9620 (4.7072) Prec@1 16.797 (7.003) Prec@5 37.891 (20.634) Epoch: [0][4900/5809] Time 2.654 (6.526) Data 2.591 (6.457) Loss 3.7957 (4.7055) Prec@1 18.359 (7.020) Prec@5 41.406 (20.671) Epoch: [0][4910/5809] Time 10.127 (6.533) Data 10.068 (6.463) Loss 4.0216 (4.7040) Prec@1 13.672 (7.036) Prec@5 35.547 (20.705) Epoch: [0][4920/5809] Time 1.207 (6.536) Data 1.148 (6.467) Loss 3.9636 (4.7023) Prec@1 14.453 (7.055) Prec@5 39.062 (20.742) Epoch: [0][4930/5809] Time 3.995 (6.543) Data 3.931 (6.473) Loss 3.9343 (4.7006) Prec@1 13.672 (7.071) Prec@5 37.891 (20.778) Epoch: [0][4940/5809] Time 5.915 (6.548) Data 5.853 (6.478) Loss 3.9561 (4.6990) Prec@1 17.188 (7.087) Prec@5 37.500 (20.813) Epoch: [0][4950/5809] Time 0.521 (6.554) Data 0.459 (6.485) Loss 3.8389 (4.6973) Prec@1 17.188 (7.105) Prec@5 42.578 (20.848) Epoch: [0][4960/5809] Time 4.335 (6.560) Data 4.276 (6.490) Loss 3.9389 (4.6958) Prec@1 13.672 (7.120) Prec@5 36.328 (20.881) Epoch: [0][4970/5809] Time 4.336 (6.567) Data 4.277 (6.497) Loss 3.8032 (4.6940) Prec@1 15.234 (7.137) Prec@5 41.797 (20.921) Epoch: [0][4980/5809] Time 4.665 (6.571) Data 4.606 (6.501) Loss 3.8636 (4.6924) Prec@1 13.672 (7.154) Prec@5 41.016 (20.954) Epoch: [0][4990/5809] Time 5.586 (6.576) Data 5.520 (6.507) Loss 3.7350 (4.6908) Prec@1 19.922 (7.172) Prec@5 43.359 (20.991) Epoch: [0][5000/5809] Time 4.500 (6.580) Data 4.440 (6.510) Loss 4.0624 (4.6894) Prec@1 11.328 (7.186) Prec@5 34.375 (21.022) Epoch: [0][5010/5809] Time 6.592 (6.584) Data 6.530 (6.515) Loss 3.9468 (4.6879) Prec@1 11.719 (7.198) Prec@5 36.719 (21.053) Epoch: [0][5020/5809] Time 10.720 (6.588) Data 10.662 (6.519) Loss 3.9196 (4.6864) Prec@1 16.797 (7.213) Prec@5 38.672 (21.088) Epoch: [0][5030/5809] Time 5.129 (6.589) Data 5.069 (6.520) Loss 4.0529 (4.6847) Prec@1 12.109 (7.230) Prec@5 32.812 (21.123) Epoch: [0][5040/5809] Time 4.805 (6.592) Data 4.742 (6.523) Loss 3.6113 (4.6830) Prec@1 17.578 (7.247) Prec@5 43.359 (21.159) Epoch: [0][5050/5809] Time 6.360 (6.593) Data 6.296 (6.523) Loss 3.8355 (4.6815) Prec@1 14.844 (7.263) Prec@5 37.891 (21.193) Epoch: [0][5060/5809] Time 0.380 (6.596) Data 0.321 (6.526) Loss 4.0076 (4.6799) Prec@1 15.234 (7.281) Prec@5 34.375 (21.226) Epoch: [0][5070/5809] Time 15.226 (6.599) Data 15.164 (6.530) Loss 3.8085 (4.6782) Prec@1 22.266 (7.299) Prec@5 42.578 (21.264) Epoch: [0][5080/5809] Time 0.785 (6.602) Data 0.725 (6.533) Loss 3.8107 (4.6765) Prec@1 18.359 (7.318) Prec@5 40.625 (21.300) Epoch: [0][5090/5809] Time 21.121 (6.607) Data 21.055 (6.538) Loss 3.7515 (4.6750) Prec@1 14.453 (7.332) Prec@5 39.062 (21.332) Epoch: [0][5100/5809] Time 4.484 (6.609) Data 4.418 (6.539) Loss 3.8462 (4.6735) Prec@1 15.234 (7.345) Prec@5 42.188 (21.365) Epoch: [0][5110/5809] Time 17.245 (6.611) Data 17.186 (6.542) Loss 3.9161 (4.6721) Prec@1 14.453 (7.361) Prec@5 39.453 (21.397) Epoch: [0][5120/5809] Time 4.204 (6.612) Data 4.142 (6.543) Loss 3.8220 (4.6705) Prec@1 14.453 (7.376) Prec@5 40.625 (21.433) Epoch: [0][5130/5809] Time 21.287 (6.616) Data 21.227 (6.546) Loss 3.9864 (4.6690) Prec@1 16.797 (7.392) Prec@5 36.328 (21.467) Epoch: [0][5140/5809] Time 2.273 (6.616) Data 2.213 (6.546) Loss 3.8535 (4.6675) Prec@1 16.406 (7.407) Prec@5 36.719 (21.501) Epoch: [0][5150/5809] Time 20.813 (6.619) Data 20.749 (6.550) Loss 3.9624 (4.6660) Prec@1 17.578 (7.420) Prec@5 38.281 (21.532) Epoch: [0][5160/5809] Time 2.899 (6.617) Data 2.840 (6.547) Loss 3.8370 (4.6645) Prec@1 16.016 (7.435) Prec@5 39.453 (21.566) Epoch: [0][5170/5809] Time 17.511 (6.617) Data 17.452 (6.548) Loss 3.8230 (4.6631) Prec@1 14.844 (7.449) Prec@5 39.062 (21.598) Epoch: [0][5180/5809] Time 5.887 (6.617) Data 5.827 (6.547) Loss 3.6534 (4.6615) Prec@1 20.312 (7.465) Prec@5 40.234 (21.633) Epoch: [0][5190/5809] Time 17.792 (6.620) Data 17.732 (6.551) Loss 3.7276 (4.6599) Prec@1 17.188 (7.480) Prec@5 42.188 (21.670) Epoch: [0][5200/5809] Time 5.101 (6.621) Data 5.038 (6.551) Loss 3.7828 (4.6583) Prec@1 17.578 (7.497) Prec@5 40.625 (21.704) Epoch: [0][5210/5809] Time 29.658 (6.624) Data 29.598 (6.555) Loss 3.7996 (4.6568) Prec@1 17.188 (7.513) Prec@5 43.750 (21.739) Epoch: [0][5220/5809] Time 3.705 (6.623) Data 3.642 (6.554) Loss 3.6455 (4.6552) Prec@1 22.266 (7.530) Prec@5 50.000 (21.778) Epoch: [0][5230/5809] Time 33.718 (6.630) Data 33.649 (6.561) Loss 3.7813 (4.6536) Prec@1 15.234 (7.547) Prec@5 41.797 (21.814) Epoch: [0][5240/5809] Time 3.514 (6.632) Data 3.454 (6.562) Loss 3.8757 (4.6522) Prec@1 14.844 (7.562) Prec@5 39.062 (21.846) Epoch: [0][5250/5809] Time 24.314 (6.636) Data 24.244 (6.567) Loss 3.7160 (4.6506) Prec@1 18.750 (7.578) Prec@5 42.578 (21.880) Epoch: [0][5260/5809] Time 0.132 (6.639) Data 0.001 (6.570) Loss 3.9710 (4.6492) Prec@1 15.625 (7.593) Prec@5 41.797 (21.913) Epoch: [0][5270/5809] Time 29.026 (6.646) Data 28.965 (6.577) Loss 3.5970 (4.6474) Prec@1 19.922 (7.610) Prec@5 46.875 (21.952) Epoch: [0][5280/5809] Time 1.404 (6.647) Data 1.345 (6.578) Loss 3.8610 (4.6459) Prec@1 14.844 (7.627) Prec@5 36.719 (21.987) Epoch: [0][5290/5809] Time 29.826 (6.652) Data 29.760 (6.583) Loss 4.0014 (4.6446) Prec@1 12.109 (7.640) Prec@5 35.156 (22.018) Epoch: [0][5300/5809] Time 0.133 (6.653) Data 0.001 (6.583) Loss 3.7588 (4.6431) Prec@1 13.672 (7.654) Prec@5 43.750 (22.051) Epoch: [0][5310/5809] Time 21.441 (6.659) Data 21.383 (6.589) Loss 3.8068 (4.6416) Prec@1 16.797 (7.669) Prec@5 40.234 (22.083) Epoch: [0][5320/5809] Time 3.129 (6.658) Data 3.064 (6.588) Loss 3.9303 (4.6403) Prec@1 14.844 (7.684) Prec@5 35.547 (22.111) Epoch: [0][5330/5809] Time 16.221 (6.656) Data 16.160 (6.587) Loss 3.7773 (4.6387) Prec@1 14.844 (7.698) Prec@5 41.016 (22.145) Epoch: [0][5340/5809] Time 6.926 (6.657) Data 6.866 (6.588) Loss 3.7750 (4.6373) Prec@1 16.016 (7.711) Prec@5 39.844 (22.178) Epoch: [0][5350/5809] Time 18.928 (6.662) Data 18.870 (6.593) Loss 3.8926 (4.6359) Prec@1 15.625 (7.725) Prec@5 38.281 (22.208) Epoch: [0][5360/5809] Time 3.892 (6.663) Data 3.833 (6.593) Loss 3.9112 (4.6344) Prec@1 13.281 (7.741) Prec@5 39.453 (22.240) Epoch: [0][5370/5809] Time 19.274 (6.668) Data 19.211 (6.599) Loss 3.8707 (4.6329) Prec@1 17.969 (7.757) Prec@5 42.578 (22.272) Epoch: [0][5380/5809] Time 0.132 (6.670) Data 0.001 (6.601) Loss 3.8778 (4.6315) Prec@1 16.406 (7.773) Prec@5 38.281 (22.304) Epoch: [0][5390/5809] Time 27.376 (6.676) Data 27.309 (6.607) Loss 3.8624 (4.6300) Prec@1 19.141 (7.788) Prec@5 41.797 (22.337) Epoch: [0][5400/5809] Time 0.135 (6.677) Data 0.001 (6.608) Loss 4.0075 (4.6286) Prec@1 15.234 (7.803) Prec@5 35.156 (22.368) Epoch: [0][5410/5809] Time 22.023 (6.683) Data 21.960 (6.614) Loss 3.9826 (4.6272) Prec@1 11.719 (7.819) Prec@5 35.547 (22.401) Epoch: [0][5420/5809] Time 8.523 (6.686) Data 8.463 (6.616) Loss 3.8032 (4.6258) Prec@1 23.047 (7.833) Prec@5 43.359 (22.433) Epoch: [0][5430/5809] Time 19.139 (6.693) Data 19.079 (6.623) Loss 3.7557 (4.6243) Prec@1 13.281 (7.848) Prec@5 40.234 (22.467) Epoch: [0][5440/5809] Time 6.159 (6.695) Data 6.096 (6.626) Loss 3.6670 (4.6228) Prec@1 15.625 (7.864) Prec@5 42.578 (22.501) Epoch: [0][5450/5809] Time 21.732 (6.699) Data 21.674 (6.629) Loss 3.8328 (4.6213) Prec@1 17.578 (7.881) Prec@5 40.234 (22.535) Epoch: [0][5460/5809] Time 7.204 (6.703) Data 7.141 (6.633) Loss 3.7403 (4.6198) Prec@1 17.969 (7.898) Prec@5 42.969 (22.569) Epoch: [0][5470/5809] Time 21.338 (6.710) Data 21.273 (6.641) Loss 3.6864 (4.6184) Prec@1 17.969 (7.913) Prec@5 42.188 (22.600) Epoch: [0][5480/5809] Time 8.003 (6.714) Data 7.937 (6.645) Loss 3.9515 (4.6170) Prec@1 14.062 (7.928) Prec@5 40.234 (22.631) Epoch: [0][5490/5809] Time 19.451 (6.719) Data 19.392 (6.649) Loss 3.7642 (4.6155) Prec@1 16.406 (7.944) Prec@5 41.797 (22.665) Epoch: [0][5500/5809] Time 1.803 (6.718) Data 1.739 (6.649) Loss 3.9307 (4.6140) Prec@1 16.016 (7.959) Prec@5 40.234 (22.698) Epoch: [0][5510/5809] Time 19.216 (6.722) Data 19.154 (6.653) Loss 3.7163 (4.6126) Prec@1 16.406 (7.974) Prec@5 40.234 (22.731) Epoch: [0][5520/5809] Time 0.640 (6.722) Data 0.582 (6.653) Loss 3.9742 (4.6112) Prec@1 16.797 (7.987) Prec@5 34.375 (22.759) Epoch: [0][5530/5809] Time 14.098 (6.726) Data 14.036 (6.656) Loss 3.9031 (4.6099) Prec@1 15.625 (8.004) Prec@5 39.844 (22.791) Epoch: [0][5540/5809] Time 3.162 (6.726) Data 3.103 (6.656) Loss 3.7501 (4.6086) Prec@1 16.797 (8.016) Prec@5 41.797 (22.818) Epoch: [0][5550/5809] Time 13.401 (6.729) Data 13.342 (6.660) Loss 4.0357 (4.6073) Prec@1 10.547 (8.030) Prec@5 34.766 (22.848) Epoch: [0][5560/5809] Time 7.545 (6.731) Data 7.485 (6.662) Loss 3.6659 (4.6059) Prec@1 14.453 (8.044) Prec@5 42.578 (22.879) Epoch: [0][5570/5809] Time 19.339 (6.734) Data 19.275 (6.664) Loss 3.7126 (4.6044) Prec@1 16.797 (8.058) Prec@5 43.750 (22.911) Epoch: [0][5580/5809] Time 10.662 (6.735) Data 10.598 (6.665) Loss 3.5976 (4.6030) Prec@1 19.531 (8.074) Prec@5 48.047 (22.945) Epoch: [0][5590/5809] Time 11.393 (6.738) Data 11.333 (6.668) Loss 3.8253 (4.6015) Prec@1 13.672 (8.089) Prec@5 36.719 (22.975) Epoch: [0][5600/5809] Time 6.471 (6.740) Data 6.409 (6.671) Loss 3.8291 (4.6001) Prec@1 14.453 (8.103) Prec@5 39.453 (23.007) Epoch: [0][5610/5809] Time 13.809 (6.742) Data 13.751 (6.672) Loss 3.7906 (4.5987) Prec@1 16.797 (8.116) Prec@5 39.062 (23.036) Epoch: [0][5620/5809] Time 4.677 (6.744) Data 4.615 (6.674) Loss 3.8383 (4.5972) Prec@1 14.844 (8.132) Prec@5 41.016 (23.069) Epoch: [0][5630/5809] Time 9.318 (6.747) Data 9.257 (6.677) Loss 3.8340 (4.5958) Prec@1 14.844 (8.145) Prec@5 38.672 (23.098) Epoch: [0][5640/5809] Time 2.891 (6.748) Data 2.827 (6.679) Loss 3.7993 (4.5944) Prec@1 15.234 (8.160) Prec@5 39.062 (23.130) Epoch: [0][5650/5809] Time 5.035 (6.752) Data 4.977 (6.682) Loss 3.6298 (4.5930) Prec@1 19.922 (8.174) Prec@5 46.484 (23.160) Epoch: [0][5660/5809] Time 3.159 (6.753) Data 3.099 (6.684) Loss 3.9210 (4.5917) Prec@1 14.062 (8.189) Prec@5 38.281 (23.190) Epoch: [0][5670/5809] Time 7.882 (6.752) Data 7.819 (6.683) Loss 3.6907 (4.5901) Prec@1 18.750 (8.207) Prec@5 43.359 (23.222) Epoch: [0][5680/5809] Time 3.004 (6.752) Data 2.945 (6.683) Loss 3.7764 (4.5887) Prec@1 16.016 (8.222) Prec@5 44.531 (23.256) Epoch: [0][5690/5809] Time 10.320 (6.753) Data 10.259 (6.684) Loss 3.6270 (4.5874) Prec@1 19.922 (8.236) Prec@5 46.484 (23.287) Epoch: [0][5700/5809] Time 2.125 (6.750) Data 2.066 (6.680) Loss 3.8707 (4.5860) Prec@1 14.844 (8.249) Prec@5 37.109 (23.316) Epoch: [0][5710/5809] Time 11.500 (6.750) Data 11.441 (6.681) Loss 3.9589 (4.5845) Prec@1 11.719 (8.264) Prec@5 37.500 (23.347) Epoch: [0][5720/5809] Time 0.141 (6.752) Data 0.001 (6.683) Loss 3.6208 (4.5832) Prec@1 19.531 (8.277) Prec@5 45.312 (23.376) Epoch: [0][5730/5809] Time 11.045 (6.754) Data 10.980 (6.685) Loss 3.8383 (4.5819) Prec@1 19.922 (8.290) Prec@5 38.672 (23.407) Epoch: [0][5740/5809] Time 0.134 (6.753) Data 0.001 (6.684) Loss 3.7882 (4.5806) Prec@1 15.234 (8.303) Prec@5 41.797 (23.438) Epoch: [0][5750/5809] Time 11.840 (6.756) Data 11.779 (6.687) Loss 3.8323 (4.5792) Prec@1 16.797 (8.316) Prec@5 42.969 (23.470) Epoch: [0][5760/5809] Time 2.639 (6.756) Data 2.579 (6.687) Loss 3.7920 (4.5779) Prec@1 18.359 (8.329) Prec@5 42.578 (23.497) Epoch: [0][5770/5809] Time 6.075 (6.758) Data 6.015 (6.689) Loss 3.8394 (4.5765) Prec@1 16.406 (8.344) Prec@5 39.844 (23.528) Epoch: [0][5780/5809] Time 9.289 (6.760) Data 9.227 (6.691) Loss 3.6588 (4.5751) Prec@1 16.406 (8.360) Prec@5 39.062 (23.558) Epoch: [0][5790/5809] Time 0.817 (6.763) Data 0.757 (6.694) Loss 3.8370 (4.5737) Prec@1 16.406 (8.377) Prec@5 40.625 (23.589) Epoch: [0][5800/5809] Time 8.802 (6.770) Data 8.740 (6.701) Loss 3.8552 (4.5725) Prec@1 15.234 (8.390) Prec@5 36.719 (23.614) Test: [0/143] Time 19.749 (19.749) Loss 3.1557 (3.1557) Prec@1 17.578 (17.578) Prec@5 56.641 (56.641) Test: [10/143] Time 1.279 (5.115) Loss 8.3252 (7.3668) Prec@1 0.000 (2.344) Prec@5 0.000 (8.629) Test: [20/143] Time 8.436 (4.522) Loss 8.1208 (7.8411) Prec@1 0.000 (1.414) Prec@5 0.000 (5.580) Test: [30/143] Time 3.296 (3.975) Loss 10.7027 (8.1418) Prec@1 0.391 (1.058) Prec@5 0.781 (4.183) Test: [40/143] Time 0.056 (3.572) Loss 8.6899 (8.2095) Prec@1 0.000 (0.857) Prec@5 0.781 (3.563) Test: [50/143] Time 3.672 (3.410) Loss 7.3022 (8.2885) Prec@1 0.781 (0.758) Prec@5 1.953 (3.546) Test: [60/143] Time 0.055 (3.223) Loss 8.8689 (8.3649) Prec@1 0.391 (0.672) Prec@5 2.344 (3.183) Test: [70/143] Time 2.152 (3.237) Loss 7.1031 (8.4406) Prec@1 0.000 (0.594) Prec@5 0.391 (2.910) Test: [80/143] Time 2.080 (3.115) Loss 7.0734 (8.4354) Prec@1 0.391 (0.535) Prec@5 1.953 (2.744) Test: [90/143] Time 0.454 (3.229) Loss 6.6812 (8.3770) Prec@1 1.172 (0.494) Prec@5 5.078 (2.640) Test: [100/143] Time 3.176 (3.205) Loss 9.3514 (8.3718) Prec@1 0.000 (0.468) Prec@5 0.000 (2.498) Test: [110/143] Time 0.058 (3.233) Loss 11.0415 (8.3757) Prec@1 0.000 (0.461) Prec@5 0.000 (2.460) Test: [120/143] Time 3.422 (3.263) Loss 12.5862 (8.4869) Prec@1 0.000 (0.436) Prec@5 0.000 (2.321) Test: [130/143] Time 1.912 (3.316) Loss 13.0005 (8.8503) Prec@1 0.000 (0.403) Prec@5 0.000 (2.144) Test: [140/143] Time 4.724 (3.458) Loss 13.6985 (9.1353) Prec@1 0.000 (0.374) Prec@5 0.000 (1.992) * Prec@1 0.370 Prec@5 1.970 Epoch: [1][0/5809] Time 34.273 (34.273) Data 34.065 (34.065) Loss 3.8234 (3.8234) Prec@1 18.359 (18.359) Prec@5 39.844 (39.844) Epoch: [1][10/5809] Time 6.257 (9.153) Data 6.197 (9.066) Loss 3.7919 (3.7484) Prec@1 17.969 (16.939) Prec@5 40.234 (41.619) Epoch: [1][20/5809] Time 23.682 (9.027) Data 23.615 (8.948) Loss 3.6826 (3.7620) Prec@1 19.531 (17.188) Prec@5 40.625 (41.053) Epoch: [1][30/5809] Time 4.061 (8.274) Data 4.003 (8.198) Loss 3.8841 (3.7598) Prec@1 14.844 (17.150) Prec@5 38.672 (41.305) Epoch: [1][40/5809] Time 11.278 (7.929) Data 11.218 (7.857) Loss 3.9466 (3.7644) Prec@1 17.969 (17.254) Prec@5 37.891 (41.368) Epoch: [1][50/5809] Time 3.845 (7.161) Data 3.783 (7.090) Loss 3.8593 (3.7658) Prec@1 15.625 (17.119) Prec@5 37.891 (41.245) Epoch: [1][60/5809] Time 18.251 (7.197) Data 18.189 (7.127) Loss 3.7985 (3.7702) Prec@1 17.969 (17.072) Prec@5 42.188 (41.438) Epoch: [1][70/5809] Time 5.302 (7.426) Data 5.241 (7.355) Loss 3.7313 (3.7610) Prec@1 15.625 (17.099) Prec@5 38.672 (41.599) Epoch: [1][80/5809] Time 15.916 (7.538) Data 15.858 (7.468) Loss 3.7480 (3.7599) Prec@1 19.141 (17.134) Prec@5 42.578 (41.749) Epoch: [1][90/5809] Time 10.396 (7.537) Data 10.335 (7.468) Loss 3.6085 (3.7596) Prec@1 19.141 (17.213) Prec@5 46.094 (41.814) Epoch: [1][100/5809] Time 9.045 (7.476) Data 8.986 (7.408) Loss 3.8090 (3.7626) Prec@1 16.797 (17.149) Prec@5 40.234 (41.712) Epoch: [1][110/5809] Time 5.861 (7.506) Data 5.803 (7.439) Loss 3.6148 (3.7611) Prec@1 19.141 (17.103) Prec@5 48.828 (41.695) Epoch: [1][120/5809] Time 3.845 (7.452) Data 3.785 (7.386) Loss 3.8011 (3.7566) Prec@1 16.016 (17.136) Prec@5 40.625 (41.884) Epoch: [1][130/5809] Time 8.908 (7.488) Data 8.850 (7.422) Loss 3.6676 (3.7578) Prec@1 19.531 (17.077) Prec@5 46.875 (41.752) Epoch: [1][140/5809] Time 1.862 (7.388) Data 1.799 (7.322) Loss 3.8318 (3.7621) Prec@1 16.797 (17.038) Prec@5 37.500 (41.675) Epoch: [1][150/5809] Time 10.727 (7.405) Data 10.667 (7.340) Loss 3.9564 (3.7593) Prec@1 17.188 (17.001) Prec@5 40.234 (41.735) Epoch: [1][160/5809] Time 4.842 (7.334) Data 4.780 (7.268) Loss 3.8935 (3.7630) Prec@1 13.281 (16.964) Prec@5 38.281 (41.690) Epoch: [1][170/5809] Time 3.348 (7.343) Data 3.284 (7.277) Loss 3.9139 (3.7663) Prec@1 15.234 (16.959) Prec@5 42.578 (41.660) Epoch: [1][180/5809] Time 10.345 (7.391) Data 10.287 (7.326) Loss 3.5646 (3.7646) Prec@1 21.094 (16.987) Prec@5 46.484 (41.691) Epoch: [1][190/5809] Time 7.239 (7.387) Data 7.180 (7.321) Loss 3.7327 (3.7619) Prec@1 20.312 (17.024) Prec@5 42.969 (41.740) Epoch: [1][200/5809] Time 9.134 (7.383) Data 9.075 (7.317) Loss 3.8472 (3.7608) Prec@1 19.141 (17.053) Prec@5 40.234 (41.809) Epoch: [1][210/5809] Time 12.897 (7.426) Data 12.835 (7.361) Loss 3.7088 (3.7605) Prec@1 17.188 (17.091) Prec@5 41.406 (41.793) Epoch: [1][220/5809] Time 4.967 (7.495) Data 4.907 (7.430) Loss 3.7911 (3.7592) Prec@1 20.312 (17.101) Prec@5 42.969 (41.864) Epoch: [1][230/5809] Time 13.770 (7.553) Data 13.711 (7.488) Loss 3.7008 (3.7580) Prec@1 14.844 (17.089) Prec@5 40.234 (41.843) Epoch: [1][240/5809] Time 6.691 (7.544) Data 6.632 (7.478) Loss 3.6356 (3.7570) Prec@1 16.016 (17.100) Prec@5 40.234 (41.821) Epoch: [1][250/5809] Time 21.897 (7.600) Data 21.838 (7.534) Loss 3.7215 (3.7569) Prec@1 20.703 (17.135) Prec@5 45.703 (41.892) Epoch: [1][260/5809] Time 5.656 (7.580) Data 5.596 (7.514) Loss 3.8834 (3.7584) Prec@1 16.406 (17.138) Prec@5 40.625 (41.866) Epoch: [1][270/5809] Time 14.427 (7.577) Data 14.360 (7.512) Loss 3.6605 (3.7544) Prec@1 20.703 (17.195) Prec@5 46.875 (41.954) Epoch: [1][280/5809] Time 7.764 (7.518) Data 7.706 (7.453) Loss 3.7123 (3.7547) Prec@1 17.578 (17.182) Prec@5 42.188 (41.973) Epoch: [1][290/5809] Time 18.032 (7.572) Data 17.970 (7.506) Loss 3.6984 (3.7536) Prec@1 18.359 (17.192) Prec@5 44.922 (41.987) Epoch: [1][300/5809] Time 1.666 (7.572) Data 1.604 (7.507) Loss 3.7819 (3.7543) Prec@1 18.750 (17.221) Prec@5 40.234 (41.990) Epoch: [1][310/5809] Time 14.582 (7.622) Data 14.522 (7.557) Loss 3.8137 (3.7565) Prec@1 15.625 (17.216) Prec@5 43.750 (41.935) Epoch: [1][320/5809] Time 2.991 (7.597) Data 2.933 (7.532) Loss 3.9490 (3.7580) Prec@1 14.453 (17.209) Prec@5 39.062 (41.914) Epoch: [1][330/5809] Time 11.964 (7.633) Data 11.905 (7.568) Loss 3.8626 (3.7561) Prec@1 15.625 (17.261) Prec@5 36.719 (41.935) Epoch: [1][340/5809] Time 0.135 (7.603) Data 0.001 (7.537) Loss 3.6348 (3.7559) Prec@1 15.234 (17.262) Prec@5 45.703 (41.948) Epoch: [1][350/5809] Time 10.170 (7.611) Data 10.111 (7.545) Loss 3.7989 (3.7539) Prec@1 16.016 (17.281) Prec@5 42.578 (42.014) Epoch: [1][360/5809] Time 9.277 (7.619) Data 9.218 (7.554) Loss 3.8299 (3.7540) Prec@1 13.672 (17.275) Prec@5 41.797 (42.026) Epoch: [1][370/5809] Time 6.712 (7.590) Data 6.652 (7.525) Loss 3.6745 (3.7539) Prec@1 14.453 (17.268) Prec@5 39.844 (42.015) Epoch: [1][380/5809] Time 4.270 (7.546) Data 4.203 (7.481) Loss 3.6858 (3.7535) Prec@1 16.406 (17.253) Prec@5 42.578 (42.015) Epoch: [1][390/5809] Time 1.265 (7.516) Data 1.206 (7.451) Loss 3.4785 (3.7520) Prec@1 22.656 (17.282) Prec@5 46.484 (42.015) Epoch: [1][400/5809] Time 1.773 (7.477) Data 1.712 (7.412) Loss 3.7573 (3.7519) Prec@1 17.969 (17.272) Prec@5 43.750 (42.017) Epoch: [1][410/5809] Time 6.304 (7.507) Data 6.240 (7.443) Loss 3.5236 (3.7502) Prec@1 22.266 (17.281) Prec@5 45.703 (42.047) Epoch: [1][420/5809] Time 6.180 (7.470) Data 6.114 (7.405) Loss 3.8183 (3.7498) Prec@1 18.359 (17.298) Prec@5 43.359 (42.070) Epoch: [1][430/5809] Time 8.363 (7.461) Data 8.293 (7.396) Loss 3.9001 (3.7504) Prec@1 17.578 (17.316) Prec@5 41.797 (42.071) Epoch: [1][440/5809] Time 10.463 (7.443) Data 10.403 (7.379) Loss 3.6640 (3.7493) Prec@1 19.922 (17.310) Prec@5 46.094 (42.087) Epoch: [1][450/5809] Time 3.052 (7.451) Data 2.992 (7.387) Loss 3.8043 (3.7485) Prec@1 17.578 (17.308) Prec@5 41.797 (42.106) Epoch: [1][460/5809] Time 12.490 (7.441) Data 12.424 (7.376) Loss 3.5886 (3.7464) Prec@1 24.609 (17.333) Prec@5 48.828 (42.151) Epoch: [1][470/5809] Time 4.347 (7.411) Data 4.288 (7.347) Loss 3.5788 (3.7445) Prec@1 23.438 (17.376) Prec@5 46.484 (42.203) Epoch: [1][480/5809] Time 10.073 (7.413) Data 10.015 (7.349) Loss 3.8532 (3.7425) Prec@1 17.969 (17.412) Prec@5 42.578 (42.261) Epoch: [1][490/5809] Time 0.133 (7.406) Data 0.001 (7.342) Loss 3.5960 (3.7414) Prec@1 18.359 (17.432) Prec@5 46.484 (42.285) Epoch: [1][500/5809] Time 5.956 (7.386) Data 5.897 (7.322) Loss 3.7334 (3.7425) Prec@1 20.312 (17.423) Prec@5 47.266 (42.280) Epoch: [1][510/5809] Time 4.951 (7.373) Data 4.888 (7.308) Loss 3.7347 (3.7430) Prec@1 19.922 (17.437) Prec@5 44.531 (42.269) Epoch: [1][520/5809] Time 14.037 (7.388) Data 13.975 (7.324) Loss 3.7877 (3.7426) Prec@1 16.016 (17.436) Prec@5 43.359 (42.297) Epoch: [1][530/5809] Time 0.138 (7.398) Data 0.001 (7.333) Loss 3.6309 (3.7413) Prec@1 17.969 (17.457) Prec@5 46.875 (42.350) Epoch: [1][540/5809] Time 19.527 (7.423) Data 19.466 (7.359) Loss 3.7572 (3.7405) Prec@1 16.797 (17.456) Prec@5 39.844 (42.358) Epoch: [1][550/5809] Time 4.459 (7.424) Data 4.401 (7.359) Loss 3.7156 (3.7402) Prec@1 14.453 (17.451) Prec@5 41.406 (42.362) Epoch: [1][560/5809] Time 27.074 (7.457) Data 27.015 (7.393) Loss 3.7627 (3.7387) Prec@1 14.844 (17.461) Prec@5 41.406 (42.389) Epoch: [1][570/5809] Time 2.679 (7.450) Data 2.619 (7.385) Loss 3.6217 (3.7380) Prec@1 19.922 (17.458) Prec@5 44.141 (42.390) Epoch: [1][580/5809] Time 21.985 (7.463) Data 21.922 (7.398) Loss 3.8485 (3.7386) Prec@1 12.500 (17.462) Prec@5 40.234 (42.389) Epoch: [1][590/5809] Time 0.655 (7.444) Data 0.597 (7.379) Loss 3.8116 (3.7378) Prec@1 14.844 (17.472) Prec@5 41.406 (42.401) Epoch: [1][600/5809] Time 13.684 (7.446) Data 13.618 (7.381) Loss 3.8583 (3.7359) Prec@1 17.188 (17.488) Prec@5 39.453 (42.446) Epoch: [1][610/5809] Time 0.601 (7.419) Data 0.537 (7.353) Loss 3.9261 (3.7359) Prec@1 17.188 (17.501) Prec@5 36.328 (42.439) Epoch: [1][620/5809] Time 18.131 (7.421) Data 18.072 (7.356) Loss 3.7045 (3.7351) Prec@1 20.703 (17.498) Prec@5 41.797 (42.444) Epoch: [1][630/5809] Time 0.847 (7.393) Data 0.789 (7.328) Loss 3.6956 (3.7348) Prec@1 17.188 (17.497) Prec@5 44.531 (42.456) Epoch: [1][640/5809] Time 16.361 (7.374) Data 16.300 (7.309) Loss 3.5410 (3.7328) Prec@1 18.750 (17.527) Prec@5 44.531 (42.500) Epoch: [1][650/5809] Time 1.142 (7.335) Data 1.083 (7.269) Loss 3.6168 (3.7310) Prec@1 21.875 (17.569) Prec@5 42.188 (42.536) Epoch: [1][660/5809] Time 10.351 (7.316) Data 10.291 (7.251) Loss 3.8054 (3.7313) Prec@1 15.234 (17.567) Prec@5 38.281 (42.513) Epoch: [1][670/5809] Time 0.134 (7.280) Data 0.001 (7.215) Loss 3.5781 (3.7295) Prec@1 19.531 (17.593) Prec@5 44.141 (42.555) Epoch: [1][680/5809] Time 14.915 (7.274) Data 14.856 (7.209) Loss 3.5093 (3.7295) Prec@1 19.531 (17.574) Prec@5 47.656 (42.549) Epoch: [1][690/5809] Time 1.056 (7.232) Data 0.996 (7.167) Loss 3.7077 (3.7309) Prec@1 18.750 (17.559) Prec@5 43.750 (42.514) Epoch: [1][700/5809] Time 8.568 (7.213) Data 8.509 (7.148) Loss 3.5437 (3.7301) Prec@1 19.922 (17.573) Prec@5 43.359 (42.515) Epoch: [1][710/5809] Time 4.233 (7.173) Data 4.174 (7.107) Loss 3.6592 (3.7287) Prec@1 21.875 (17.605) Prec@5 44.922 (42.543) Epoch: [1][720/5809] Time 9.830 (7.150) Data 9.771 (7.084) Loss 3.6944 (3.7281) Prec@1 17.969 (17.614) Prec@5 41.797 (42.566) Epoch: [1][730/5809] Time 0.563 (7.122) Data 0.503 (7.057) Loss 3.6086 (3.7275) Prec@1 18.750 (17.617) Prec@5 45.312 (42.589) Epoch: [1][740/5809] Time 13.302 (7.111) Data 13.239 (7.045) Loss 3.6695 (3.7278) Prec@1 17.969 (17.623) Prec@5 44.141 (42.583) Epoch: [1][750/5809] Time 3.253 (7.101) Data 3.193 (7.036) Loss 3.7524 (3.7279) Prec@1 17.578 (17.628) Prec@5 42.969 (42.588) Epoch: [1][760/5809] Time 11.026 (7.085) Data 10.968 (7.019) Loss 3.5039 (3.7268) Prec@1 17.188 (17.638) Prec@5 47.266 (42.610) Epoch: [1][770/5809] Time 5.349 (7.056) Data 5.290 (6.990) Loss 3.5513 (3.7258) Prec@1 21.484 (17.657) Prec@5 47.656 (42.630) Epoch: [1][780/5809] Time 4.406 (7.030) Data 4.343 (6.964) Loss 3.7577 (3.7248) Prec@1 15.625 (17.657) Prec@5 38.281 (42.643) Epoch: [1][790/5809] Time 2.122 (6.998) Data 2.064 (6.932) Loss 3.5373 (3.7237) Prec@1 19.531 (17.668) Prec@5 47.266 (42.683) Epoch: [1][800/5809] Time 0.410 (6.975) Data 0.351 (6.909) Loss 3.7456 (3.7233) Prec@1 16.797 (17.660) Prec@5 41.016 (42.693) Epoch: [1][810/5809] Time 5.988 (6.965) Data 5.920 (6.900) Loss 3.6528 (3.7226) Prec@1 17.969 (17.673) Prec@5 43.750 (42.709) Epoch: [1][820/5809] Time 2.755 (6.951) Data 2.696 (6.885) Loss 3.7135 (3.7224) Prec@1 15.234 (17.665) Prec@5 39.453 (42.709) Epoch: [1][830/5809] Time 11.067 (6.932) Data 11.009 (6.867) Loss 3.7181 (3.7217) Prec@1 15.625 (17.673) Prec@5 41.797 (42.720) Epoch: [1][840/5809] Time 5.628 (6.916) Data 5.567 (6.851) Loss 3.5801 (3.7209) Prec@1 17.578 (17.674) Prec@5 45.312 (42.742) Epoch: [1][850/5809] Time 12.746 (6.901) Data 12.687 (6.836) Loss 3.5627 (3.7202) Prec@1 18.750 (17.669) Prec@5 45.703 (42.760) Epoch: [1][860/5809] Time 0.721 (6.877) Data 0.663 (6.811) Loss 3.6523 (3.7190) Prec@1 19.531 (17.686) Prec@5 43.750 (42.782) Epoch: [1][870/5809] Time 10.665 (6.861) Data 10.603 (6.796) Loss 3.5673 (3.7185) Prec@1 17.969 (17.695) Prec@5 46.094 (42.801) Epoch: [1][880/5809] Time 1.995 (6.839) Data 1.936 (6.774) Loss 3.7079 (3.7181) Prec@1 16.797 (17.699) Prec@5 44.531 (42.806) Epoch: [1][890/5809] Time 5.313 (6.818) Data 5.252 (6.752) Loss 3.8551 (3.7175) Prec@1 15.234 (17.707) Prec@5 44.531 (42.814) Epoch: [1][900/5809] Time 0.153 (6.795) Data 0.091 (6.729) Loss 3.8345 (3.7166) Prec@1 20.703 (17.728) Prec@5 40.234 (42.836) Epoch: [1][910/5809] Time 2.381 (6.772) Data 2.322 (6.706) Loss 3.6500 (3.7163) Prec@1 19.922 (17.728) Prec@5 46.094 (42.843) Epoch: [1][920/5809] Time 0.346 (6.748) Data 0.282 (6.682) Loss 3.6657 (3.7161) Prec@1 20.703 (17.739) Prec@5 42.969 (42.848) Epoch: [1][930/5809] Time 4.426 (6.719) Data 4.366 (6.654) Loss 3.6462 (3.7154) Prec@1 19.141 (17.743) Prec@5 44.531 (42.870) Epoch: [1][940/5809] Time 2.063 (6.692) Data 2.004 (6.626) Loss 3.5366 (3.7145) Prec@1 17.188 (17.751) Prec@5 44.922 (42.902) Epoch: [1][950/5809] Time 5.651 (6.664) Data 5.592 (6.598) Loss 3.6727 (3.7137) Prec@1 17.578 (17.772) Prec@5 43.750 (42.922) Epoch: [1][960/5809] Time 0.133 (6.638) Data 0.001 (6.573) Loss 3.5560 (3.7121) Prec@1 21.094 (17.792) Prec@5 46.094 (42.949) Epoch: [1][970/5809] Time 2.471 (6.607) Data 2.407 (6.542) Loss 3.6101 (3.7121) Prec@1 21.484 (17.794) Prec@5 46.094 (42.940) Epoch: [1][980/5809] Time 3.521 (6.585) Data 3.463 (6.520) Loss 3.7915 (3.7121) Prec@1 16.016 (17.791) Prec@5 41.406 (42.931) Epoch: [1][990/5809] Time 3.549 (6.564) Data 3.490 (6.498) Loss 3.7368 (3.7118) Prec@1 16.406 (17.796) Prec@5 42.969 (42.937) Epoch: [1][1000/5809] Time 2.596 (6.541) Data 2.536 (6.476) Loss 3.6819 (3.7114) Prec@1 19.531 (17.817) Prec@5 41.797 (42.942) Epoch: [1][1010/5809] Time 3.600 (6.511) Data 3.535 (6.445) Loss 3.8261 (3.7104) Prec@1 14.844 (17.837) Prec@5 38.281 (42.968) Epoch: [1][1020/5809] Time 3.500 (6.485) Data 3.442 (6.419) Loss 3.4959 (3.7098) Prec@1 20.703 (17.842) Prec@5 46.875 (42.984) Epoch: [1][1030/5809] Time 5.586 (6.457) Data 5.519 (6.391) Loss 3.7605 (3.7092) Prec@1 20.703 (17.853) Prec@5 41.797 (42.998) Epoch: [1][1040/5809] Time 0.132 (6.429) Data 0.001 (6.363) Loss 3.6261 (3.7083) Prec@1 21.875 (17.878) Prec@5 45.312 (43.029) Epoch: [1][1050/5809] Time 6.839 (6.402) Data 6.779 (6.337) Loss 3.6190 (3.7083) Prec@1 22.656 (17.883) Prec@5 45.312 (43.026) Epoch: [1][1060/5809] Time 1.086 (6.371) Data 1.026 (6.305) Loss 3.7408 (3.7081) Prec@1 14.844 (17.884) Prec@5 41.797 (43.024) Epoch: [1][1070/5809] Time 4.246 (6.343) Data 4.188 (6.277) Loss 3.5815 (3.7076) Prec@1 21.484 (17.895) Prec@5 44.922 (43.036) Epoch: [1][1080/5809] Time 0.134 (6.314) Data 0.073 (6.248) Loss 3.5664 (3.7069) Prec@1 19.531 (17.905) Prec@5 45.703 (43.051) Epoch: [1][1090/5809] Time 3.080 (6.283) Data 3.014 (6.218) Loss 3.5622 (3.7063) Prec@1 21.484 (17.923) Prec@5 43.750 (43.072) Epoch: [1][1100/5809] Time 0.133 (6.258) Data 0.001 (6.192) Loss 3.6044 (3.7059) Prec@1 19.141 (17.933) Prec@5 45.312 (43.082) Epoch: [1][1110/5809] Time 4.964 (6.227) Data 4.902 (6.162) Loss 3.5219 (3.7051) Prec@1 24.219 (17.950) Prec@5 46.875 (43.101) Epoch: [1][1120/5809] Time 0.525 (6.208) Data 0.466 (6.142) Loss 3.7017 (3.7044) Prec@1 19.922 (17.960) Prec@5 44.531 (43.122) Epoch: [1][1130/5809] Time 0.937 (6.186) Data 0.870 (6.120) Loss 3.5867 (3.7038) Prec@1 19.141 (17.973) Prec@5 44.922 (43.129) Epoch: [1][1140/5809] Time 1.735 (6.166) Data 1.676 (6.100) Loss 3.6495 (3.7027) Prec@1 16.406 (17.987) Prec@5 48.438 (43.147) Epoch: [1][1150/5809] Time 0.134 (6.141) Data 0.001 (6.076) Loss 3.7235 (3.7021) Prec@1 12.891 (17.983) Prec@5 42.578 (43.165) Epoch: [1][1160/5809] Time 0.903 (6.121) Data 0.845 (6.055) Loss 3.5607 (3.7013) Prec@1 19.141 (17.989) Prec@5 46.094 (43.184) Epoch: [1][1170/5809] Time 3.101 (6.098) Data 3.036 (6.032) Loss 3.6526 (3.7011) Prec@1 17.969 (17.989) Prec@5 45.703 (43.179) Epoch: [1][1180/5809] Time 0.133 (6.077) Data 0.001 (6.011) Loss 3.7655 (3.7000) Prec@1 16.016 (17.996) Prec@5 41.797 (43.212) Epoch: [1][1190/5809] Time 2.582 (6.056) Data 2.523 (5.990) Loss 3.6478 (3.6996) Prec@1 16.016 (18.006) Prec@5 41.797 (43.218) Epoch: [1][1200/5809] Time 1.010 (6.033) Data 0.950 (5.967) Loss 3.6216 (3.6991) Prec@1 17.969 (18.016) Prec@5 47.266 (43.227) Epoch: [1][1210/5809] Time 1.201 (6.013) Data 1.138 (5.947) Loss 3.4984 (3.6984) Prec@1 19.531 (18.024) Prec@5 51.172 (43.247) Epoch: [1][1220/5809] Time 1.049 (5.998) Data 0.990 (5.932) Loss 3.7112 (3.6978) Prec@1 17.188 (18.030) Prec@5 42.188 (43.250) Epoch: [1][1230/5809] Time 5.841 (5.991) Data 5.781 (5.925) Loss 3.6900 (3.6975) Prec@1 19.141 (18.038) Prec@5 44.531 (43.262) Epoch: [1][1240/5809] Time 1.662 (5.968) Data 1.602 (5.902) Loss 3.6280 (3.6963) Prec@1 15.234 (18.058) Prec@5 44.141 (43.285) Epoch: [1][1250/5809] Time 3.958 (5.948) Data 3.897 (5.883) Loss 3.4399 (3.6959) Prec@1 21.484 (18.066) Prec@5 50.781 (43.295) Epoch: [1][1260/5809] Time 0.133 (5.931) Data 0.001 (5.865) Loss 3.6947 (3.6953) Prec@1 16.797 (18.073) Prec@5 41.016 (43.305) Epoch: [1][1270/5809] Time 1.760 (5.914) Data 1.701 (5.848) Loss 3.3657 (3.6945) Prec@1 25.000 (18.088) Prec@5 50.391 (43.315) Epoch: [1][1280/5809] Time 1.391 (5.893) Data 1.332 (5.827) Loss 3.5655 (3.6940) Prec@1 18.359 (18.090) Prec@5 46.094 (43.329) Epoch: [1][1290/5809] Time 0.643 (5.880) Data 0.585 (5.814) Loss 3.6815 (3.6937) Prec@1 17.969 (18.096) Prec@5 44.141 (43.338) Epoch: [1][1300/5809] Time 0.134 (5.858) Data 0.001 (5.792) Loss 3.8624 (3.6937) Prec@1 15.625 (18.099) Prec@5 38.672 (43.346) Epoch: [1][1310/5809] Time 1.255 (5.840) Data 1.195 (5.774) Loss 3.6823 (3.6933) Prec@1 21.484 (18.108) Prec@5 48.047 (43.362) Epoch: [1][1320/5809] Time 0.133 (5.813) Data 0.001 (5.747) Loss 3.6576 (3.6930) Prec@1 22.266 (18.120) Prec@5 49.609 (43.375) Epoch: [1][1330/5809] Time 3.455 (5.792) Data 3.396 (5.726) Loss 3.8318 (3.6924) Prec@1 15.234 (18.132) Prec@5 41.016 (43.391) Epoch: [1][1340/5809] Time 1.923 (5.766) Data 1.864 (5.700) Loss 3.6392 (3.6918) Prec@1 18.359 (18.141) Prec@5 42.578 (43.417) Epoch: [1][1350/5809] Time 2.757 (5.746) Data 2.697 (5.681) Loss 3.7339 (3.6917) Prec@1 15.234 (18.137) Prec@5 44.141 (43.419) Epoch: [1][1360/5809] Time 1.052 (5.722) Data 0.988 (5.657) Loss 3.6057 (3.6910) Prec@1 19.531 (18.148) Prec@5 43.750 (43.443) Epoch: [1][1370/5809] Time 3.174 (5.702) Data 3.112 (5.636) Loss 3.5764 (3.6905) Prec@1 19.531 (18.160) Prec@5 47.656 (43.461) Epoch: [1][1380/5809] Time 1.275 (5.676) Data 1.216 (5.610) Loss 3.5058 (3.6901) Prec@1 20.312 (18.165) Prec@5 46.875 (43.470) Epoch: [1][1390/5809] Time 3.694 (5.652) Data 3.635 (5.586) Loss 3.8006 (3.6896) Prec@1 15.625 (18.172) Prec@5 43.359 (43.483) Epoch: [1][1400/5809] Time 2.440 (5.631) Data 2.381 (5.566) Loss 3.5839 (3.6888) Prec@1 20.703 (18.186) Prec@5 45.703 (43.497) Epoch: [1][1410/5809] Time 4.700 (5.612) Data 4.638 (5.547) Loss 3.6232 (3.6881) Prec@1 17.188 (18.189) Prec@5 42.578 (43.506) Epoch: [1][1420/5809] Time 3.314 (5.592) Data 3.252 (5.527) Loss 3.5727 (3.6875) Prec@1 20.703 (18.202) Prec@5 48.438 (43.517) Epoch: [1][1430/5809] Time 3.159 (5.566) Data 3.097 (5.500) Loss 3.8808 (3.6871) Prec@1 18.750 (18.205) Prec@5 41.406 (43.517) Epoch: [1][1440/5809] Time 1.213 (5.538) Data 1.155 (5.472) Loss 3.9037 (3.6870) Prec@1 15.625 (18.202) Prec@5 41.016 (43.521) Epoch: [1][1450/5809] Time 3.911 (5.510) Data 3.849 (5.445) Loss 3.6566 (3.6867) Prec@1 16.016 (18.208) Prec@5 44.531 (43.531) Epoch: [1][1460/5809] Time 1.021 (5.481) Data 0.957 (5.416) Loss 3.5880 (3.6865) Prec@1 23.047 (18.220) Prec@5 48.047 (43.549) Epoch: [1][1470/5809] Time 3.039 (5.454) Data 2.980 (5.388) Loss 3.6540 (3.6857) Prec@1 21.484 (18.231) Prec@5 43.750 (43.565) Epoch: [1][1480/5809] Time 0.976 (5.425) Data 0.917 (5.360) Loss 3.6312 (3.6851) Prec@1 20.703 (18.239) Prec@5 45.312 (43.583) Epoch: [1][1490/5809] Time 2.954 (5.398) Data 2.895 (5.333) Loss 3.7217 (3.6846) Prec@1 19.141 (18.247) Prec@5 41.406 (43.599) Epoch: [1][1500/5809] Time 1.263 (5.371) Data 1.202 (5.306) Loss 3.5838 (3.6839) Prec@1 18.750 (18.257) Prec@5 46.875 (43.621) Epoch: [1][1510/5809] Time 4.415 (5.345) Data 4.356 (5.279) Loss 3.7300 (3.6836) Prec@1 15.625 (18.257) Prec@5 41.016 (43.629) Epoch: [1][1520/5809] Time 0.939 (5.318) Data 0.880 (5.252) Loss 3.5710 (3.6830) Prec@1 19.531 (18.271) Prec@5 45.312 (43.648) Epoch: [1][1530/5809] Time 4.067 (5.293) Data 4.001 (5.227) Loss 3.4959 (3.6824) Prec@1 18.750 (18.280) Prec@5 47.266 (43.661) Epoch: [1][1540/5809] Time 0.526 (5.266) Data 0.468 (5.200) Loss 3.4946 (3.6815) Prec@1 18.750 (18.290) Prec@5 48.438 (43.678) Epoch: [1][1550/5809] Time 4.114 (5.242) Data 4.056 (5.177) Loss 3.7339 (3.6810) Prec@1 19.922 (18.302) Prec@5 41.406 (43.689) Epoch: [1][1560/5809] Time 0.133 (5.217) Data 0.001 (5.151) Loss 3.7002 (3.6806) Prec@1 16.016 (18.305) Prec@5 43.359 (43.687) Epoch: [1][1570/5809] Time 7.313 (5.198) Data 7.254 (5.132) Loss 3.6021 (3.6801) Prec@1 16.797 (18.313) Prec@5 48.438 (43.698) Epoch: [1][1580/5809] Time 0.479 (5.177) Data 0.419 (5.111) Loss 3.4368 (3.6797) Prec@1 20.703 (18.318) Prec@5 46.484 (43.705) Epoch: [1][1590/5809] Time 6.709 (5.159) Data 6.650 (5.093) Loss 3.5128 (3.6786) Prec@1 24.219 (18.340) Prec@5 46.094 (43.728) Epoch: [1][1600/5809] Time 0.674 (5.137) Data 0.612 (5.071) Loss 3.5686 (3.6783) Prec@1 17.188 (18.348) Prec@5 46.875 (43.739) Epoch: [1][1610/5809] Time 5.382 (5.117) Data 5.317 (5.051) Loss 3.4881 (3.6773) Prec@1 22.656 (18.363) Prec@5 46.875 (43.764) Epoch: [1][1620/5809] Time 0.139 (5.094) Data 0.001 (5.028) Loss 3.5703 (3.6768) Prec@1 19.141 (18.376) Prec@5 46.094 (43.780) Epoch: [1][1630/5809] Time 4.084 (5.075) Data 4.024 (5.008) Loss 3.5313 (3.6763) Prec@1 20.312 (18.383) Prec@5 44.922 (43.785) Epoch: [1][1640/5809] Time 0.540 (5.052) Data 0.481 (4.986) Loss 3.6389 (3.6756) Prec@1 17.188 (18.386) Prec@5 48.438 (43.803) Epoch: [1][1650/5809] Time 8.022 (5.035) Data 7.958 (4.969) Loss 3.6915 (3.6754) Prec@1 16.406 (18.389) Prec@5 45.312 (43.807) Epoch: [1][1660/5809] Time 0.133 (5.014) Data 0.001 (4.947) Loss 3.4840 (3.6749) Prec@1 23.047 (18.411) Prec@5 48.828 (43.820) Epoch: [1][1670/5809] Time 7.015 (4.998) Data 6.956 (4.932) Loss 3.7094 (3.6747) Prec@1 16.797 (18.416) Prec@5 46.094 (43.824) Epoch: [1][1680/5809] Time 0.915 (4.977) Data 0.857 (4.911) Loss 3.5469 (3.6748) Prec@1 21.094 (18.419) Prec@5 46.875 (43.828) Epoch: [1][1690/5809] Time 4.252 (4.958) Data 4.193 (4.892) Loss 3.6205 (3.6743) Prec@1 18.359 (18.424) Prec@5 44.531 (43.836) Epoch: [1][1700/5809] Time 1.438 (4.936) Data 1.378 (4.870) Loss 3.5868 (3.6743) Prec@1 23.047 (18.430) Prec@5 46.875 (43.840) Epoch: [1][1710/5809] Time 3.971 (4.916) Data 3.913 (4.850) Loss 3.6866 (3.6742) Prec@1 16.406 (18.429) Prec@5 46.484 (43.852) Epoch: [1][1720/5809] Time 0.955 (4.894) Data 0.897 (4.828) Loss 3.7985 (3.6739) Prec@1 16.016 (18.427) Prec@5 42.188 (43.861) Epoch: [1][1730/5809] Time 3.819 (4.875) Data 3.757 (4.808) Loss 3.7062 (3.6733) Prec@1 17.969 (18.435) Prec@5 40.234 (43.874) Epoch: [1][1740/5809] Time 0.132 (4.854) Data 0.045 (4.788) Loss 3.5187 (3.6730) Prec@1 22.266 (18.443) Prec@5 49.609 (43.885) Epoch: [1][1750/5809] Time 3.206 (4.835) Data 3.146 (4.769) Loss 3.4984 (3.6723) Prec@1 23.047 (18.455) Prec@5 48.438 (43.899) Epoch: [1][1760/5809] Time 0.658 (4.814) Data 0.595 (4.748) Loss 3.5386 (3.6717) Prec@1 21.875 (18.468) Prec@5 48.438 (43.914) Epoch: [1][1770/5809] Time 4.105 (4.796) Data 4.045 (4.729) Loss 3.5024 (3.6713) Prec@1 21.484 (18.476) Prec@5 47.266 (43.922) Epoch: [1][1780/5809] Time 1.970 (4.776) Data 1.908 (4.709) Loss 3.6997 (3.6707) Prec@1 17.578 (18.484) Prec@5 43.359 (43.934) Epoch: [1][1790/5809] Time 2.656 (4.756) Data 2.597 (4.690) Loss 3.5043 (3.6700) Prec@1 23.438 (18.499) Prec@5 48.047 (43.957) Epoch: [1][1800/5809] Time 1.953 (4.737) Data 1.894 (4.670) Loss 3.6277 (3.6692) Prec@1 19.531 (18.508) Prec@5 42.969 (43.977) Epoch: [1][1810/5809] Time 2.055 (4.717) Data 1.996 (4.651) Loss 3.7753 (3.6688) Prec@1 16.406 (18.511) Prec@5 46.094 (43.987) Epoch: [1][1820/5809] Time 0.787 (4.698) Data 0.727 (4.631) Loss 3.4622 (3.6685) Prec@1 21.875 (18.519) Prec@5 45.703 (43.989) Epoch: [1][1830/5809] Time 3.298 (4.679) Data 3.239 (4.613) Loss 3.4580 (3.6683) Prec@1 23.438 (18.525) Prec@5 48.828 (43.995) Epoch: [1][1840/5809] Time 0.134 (4.660) Data 0.001 (4.593) Loss 3.5804 (3.6680) Prec@1 20.312 (18.531) Prec@5 46.875 (44.008) Epoch: [1][1850/5809] Time 4.088 (4.642) Data 4.024 (4.576) Loss 3.5954 (3.6675) Prec@1 22.266 (18.537) Prec@5 43.359 (44.013) Epoch: [1][1860/5809] Time 0.133 (4.623) Data 0.001 (4.556) Loss 3.4866 (3.6672) Prec@1 22.656 (18.546) Prec@5 46.875 (44.024) Epoch: [1][1870/5809] Time 3.720 (4.605) Data 3.658 (4.539) Loss 3.5651 (3.6668) Prec@1 19.531 (18.552) Prec@5 44.141 (44.029) Epoch: [1][1880/5809] Time 0.674 (4.587) Data 0.612 (4.521) Loss 3.3556 (3.6658) Prec@1 20.312 (18.565) Prec@5 48.438 (44.045) Epoch: [1][1890/5809] Time 3.785 (4.571) Data 3.727 (4.504) Loss 3.4871 (3.6653) Prec@1 23.047 (18.574) Prec@5 47.656 (44.061) Epoch: [1][1900/5809] Time 0.588 (4.553) Data 0.522 (4.486) Loss 3.5298 (3.6647) Prec@1 21.094 (18.587) Prec@5 45.703 (44.078) Epoch: [1][1910/5809] Time 4.249 (4.537) Data 4.184 (4.470) Loss 3.5636 (3.6640) Prec@1 18.750 (18.598) Prec@5 43.359 (44.091) Epoch: [1][1920/5809] Time 0.223 (4.519) Data 0.160 (4.452) Loss 3.2580 (3.6631) Prec@1 27.734 (18.608) Prec@5 52.344 (44.112) Epoch: [1][1930/5809] Time 4.517 (4.504) Data 4.458 (4.437) Loss 3.6402 (3.6625) Prec@1 16.016 (18.615) Prec@5 45.703 (44.123) Epoch: [1][1940/5809] Time 0.752 (4.486) Data 0.690 (4.419) Loss 3.4959 (3.6621) Prec@1 21.094 (18.619) Prec@5 45.312 (44.128) Epoch: [1][1950/5809] Time 5.095 (4.473) Data 5.032 (4.406) Loss 3.3492 (3.6614) Prec@1 24.609 (18.628) Prec@5 53.125 (44.146) Epoch: [1][1960/5809] Time 0.580 (4.457) Data 0.522 (4.389) Loss 3.5952 (3.6608) Prec@1 16.797 (18.636) Prec@5 48.828 (44.153) Epoch: [1][1970/5809] Time 4.055 (4.443) Data 3.993 (4.376) Loss 3.7133 (3.6604) Prec@1 17.969 (18.639) Prec@5 43.359 (44.162) Epoch: [1][1980/5809] Time 0.888 (4.428) Data 0.829 (4.361) Loss 3.4650 (3.6599) Prec@1 21.875 (18.645) Prec@5 47.266 (44.174) Epoch: [1][1990/5809] Time 3.528 (4.414) Data 3.469 (4.347) Loss 3.5460 (3.6597) Prec@1 17.188 (18.649) Prec@5 44.141 (44.175) Epoch: [1][2000/5809] Time 0.246 (4.399) Data 0.183 (4.332) Loss 3.6811 (3.6594) Prec@1 18.359 (18.657) Prec@5 42.578 (44.181) Epoch: [1][2010/5809] Time 2.380 (4.385) Data 2.321 (4.318) Loss 3.6958 (3.6590) Prec@1 23.047 (18.670) Prec@5 45.312 (44.193) Epoch: [1][2020/5809] Time 0.133 (4.370) Data 0.001 (4.302) Loss 3.6864 (3.6584) Prec@1 19.531 (18.675) Prec@5 43.359 (44.199) Epoch: [1][2030/5809] Time 1.739 (4.356) Data 1.676 (4.289) Loss 3.4666 (3.6576) Prec@1 18.750 (18.687) Prec@5 46.875 (44.215) Epoch: [1][2040/5809] Time 0.134 (4.341) Data 0.001 (4.274) Loss 3.5444 (3.6569) Prec@1 23.828 (18.700) Prec@5 46.094 (44.233) Epoch: [1][2050/5809] Time 2.121 (4.327) Data 2.054 (4.260) Loss 3.4441 (3.6566) Prec@1 24.219 (18.710) Prec@5 48.047 (44.236) Epoch: [1][2060/5809] Time 0.652 (4.312) Data 0.594 (4.245) Loss 3.6579 (3.6561) Prec@1 19.922 (18.716) Prec@5 43.359 (44.250) Epoch: [1][2070/5809] Time 3.253 (4.299) Data 3.195 (4.231) Loss 3.4197 (3.6558) Prec@1 25.000 (18.720) Prec@5 48.047 (44.255) Epoch: [1][2080/5809] Time 0.143 (4.284) Data 0.079 (4.216) Loss 3.6188 (3.6554) Prec@1 19.922 (18.732) Prec@5 45.703 (44.263) Epoch: [1][2090/5809] Time 3.693 (4.270) Data 3.629 (4.203) Loss 3.5821 (3.6552) Prec@1 17.969 (18.733) Prec@5 44.922 (44.268) Epoch: [1][2100/5809] Time 0.133 (4.256) Data 0.067 (4.188) Loss 3.6676 (3.6549) Prec@1 12.891 (18.737) Prec@5 42.188 (44.276) Epoch: [1][2110/5809] Time 1.294 (4.242) Data 1.236 (4.175) Loss 3.6865 (3.6542) Prec@1 19.922 (18.747) Prec@5 45.703 (44.291) Epoch: [1][2120/5809] Time 0.151 (4.228) Data 0.091 (4.161) Loss 3.3994 (3.6535) Prec@1 23.047 (18.756) Prec@5 48.828 (44.304) Epoch: [1][2130/5809] Time 1.531 (4.215) Data 1.472 (4.148) Loss 3.7408 (3.6532) Prec@1 21.875 (18.762) Prec@5 43.359 (44.309) Epoch: [1][2140/5809] Time 0.267 (4.202) Data 0.204 (4.135) Loss 3.5739 (3.6524) Prec@1 20.703 (18.778) Prec@5 49.219 (44.324) Epoch: [1][2150/5809] Time 2.692 (4.190) Data 2.633 (4.122) Loss 3.4154 (3.6520) Prec@1 20.703 (18.784) Prec@5 49.609 (44.327) Epoch: [1][2160/5809] Time 0.285 (4.177) Data 0.226 (4.109) Loss 3.5026 (3.6516) Prec@1 25.391 (18.790) Prec@5 48.438 (44.330) Epoch: [1][2170/5809] Time 2.356 (4.163) Data 2.298 (4.096) Loss 3.5019 (3.6510) Prec@1 22.656 (18.796) Prec@5 50.781 (44.344) Epoch: [1][2180/5809] Time 1.926 (4.151) Data 1.863 (4.084) Loss 3.6499 (3.6505) Prec@1 22.266 (18.806) Prec@5 46.094 (44.353) Epoch: [1][2190/5809] Time 1.934 (4.138) Data 1.876 (4.071) Loss 3.4554 (3.6501) Prec@1 24.219 (18.816) Prec@5 48.047 (44.361) Epoch: [1][2200/5809] Time 1.228 (4.125) Data 1.170 (4.058) Loss 3.5981 (3.6494) Prec@1 21.484 (18.824) Prec@5 46.094 (44.382) Epoch: [1][2210/5809] Time 2.154 (4.113) Data 2.095 (4.046) Loss 3.4592 (3.6488) Prec@1 23.047 (18.839) Prec@5 46.875 (44.395) Epoch: [1][2220/5809] Time 0.669 (4.100) Data 0.610 (4.033) Loss 3.5569 (3.6487) Prec@1 22.266 (18.844) Prec@5 50.781 (44.403) Epoch: [1][2230/5809] Time 1.113 (4.089) Data 1.054 (4.021) Loss 3.5685 (3.6482) Prec@1 21.484 (18.851) Prec@5 45.312 (44.413) Epoch: [1][2240/5809] Time 0.558 (4.076) Data 0.500 (4.008) Loss 3.4577 (3.6479) Prec@1 24.609 (18.857) Prec@5 51.953 (44.417) Epoch: [1][2250/5809] Time 0.869 (4.064) Data 0.807 (3.997) Loss 3.3265 (3.6473) Prec@1 27.734 (18.865) Prec@5 49.219 (44.429) Epoch: [1][2260/5809] Time 1.145 (4.052) Data 1.086 (3.985) Loss 3.6072 (3.6467) Prec@1 20.312 (18.873) Prec@5 48.438 (44.440) Epoch: [1][2270/5809] Time 0.726 (4.041) Data 0.657 (3.974) Loss 3.5958 (3.6461) Prec@1 22.656 (18.882) Prec@5 45.312 (44.452) Epoch: [1][2280/5809] Time 1.907 (4.029) Data 1.848 (3.962) Loss 3.5696 (3.6456) Prec@1 18.750 (18.889) Prec@5 48.047 (44.468) Epoch: [1][2290/5809] Time 0.839 (4.017) Data 0.780 (3.950) Loss 3.2977 (3.6450) Prec@1 23.438 (18.896) Prec@5 50.781 (44.478) Epoch: [1][2300/5809] Time 3.795 (4.007) Data 3.736 (3.940) Loss 3.6312 (3.6448) Prec@1 20.703 (18.903) Prec@5 47.266 (44.487) Epoch: [1][2310/5809] Time 0.755 (3.994) Data 0.692 (3.927) Loss 3.6339 (3.6443) Prec@1 17.969 (18.915) Prec@5 45.703 (44.506) Epoch: [1][2320/5809] Time 2.110 (3.984) Data 2.047 (3.916) Loss 3.5491 (3.6438) Prec@1 21.094 (18.925) Prec@5 45.703 (44.517) Epoch: [1][2330/5809] Time 0.347 (3.972) Data 0.285 (3.905) Loss 3.3780 (3.6431) Prec@1 21.875 (18.931) Prec@5 50.000 (44.531) Epoch: [1][2340/5809] Time 2.472 (3.962) Data 2.414 (3.894) Loss 3.4610 (3.6425) Prec@1 21.484 (18.939) Prec@5 46.875 (44.541) Epoch: [1][2350/5809] Time 0.604 (3.950) Data 0.545 (3.883) Loss 3.4556 (3.6423) Prec@1 22.656 (18.944) Prec@5 48.438 (44.546) Epoch: [1][2360/5809] Time 1.478 (3.938) Data 1.419 (3.871) Loss 3.7361 (3.6419) Prec@1 16.406 (18.951) Prec@5 43.750 (44.556) Epoch: [1][2370/5809] Time 1.127 (3.927) Data 1.069 (3.859) Loss 3.5828 (3.6416) Prec@1 21.094 (18.952) Prec@5 47.266 (44.567) Epoch: [1][2380/5809] Time 1.267 (3.916) Data 1.208 (3.849) Loss 3.4911 (3.6411) Prec@1 21.094 (18.958) Prec@5 48.047 (44.578) Epoch: [1][2390/5809] Time 1.089 (3.905) Data 1.030 (3.838) Loss 3.4949 (3.6406) Prec@1 15.234 (18.966) Prec@5 48.047 (44.594) Epoch: [1][2400/5809] Time 0.133 (3.894) Data 0.059 (3.827) Loss 3.7383 (3.6403) Prec@1 16.016 (18.973) Prec@5 42.188 (44.603) Epoch: [1][2410/5809] Time 2.060 (3.884) Data 1.998 (3.816) Loss 3.5648 (3.6401) Prec@1 19.531 (18.976) Prec@5 45.703 (44.612) Epoch: [1][2420/5809] Time 0.184 (3.873) Data 0.125 (3.806) Loss 3.6406 (3.6396) Prec@1 19.141 (18.983) Prec@5 49.219 (44.623) Epoch: [1][2430/5809] Time 2.015 (3.863) Data 1.956 (3.795) Loss 3.4724 (3.6391) Prec@1 22.266 (18.992) Prec@5 46.484 (44.635) Epoch: [1][2440/5809] Time 0.132 (3.852) Data 0.001 (3.784) Loss 3.6020 (3.6385) Prec@1 21.484 (19.004) Prec@5 44.531 (44.649) Epoch: [1][2450/5809] Time 1.894 (3.842) Data 1.835 (3.774) Loss 3.7653 (3.6383) Prec@1 18.750 (19.008) Prec@5 40.234 (44.651) Epoch: [1][2460/5809] Time 0.520 (3.831) Data 0.460 (3.764) Loss 3.4276 (3.6377) Prec@1 23.438 (19.015) Prec@5 51.172 (44.662) Epoch: [1][2470/5809] Time 2.004 (3.821) Data 1.945 (3.754) Loss 3.6900 (3.6371) Prec@1 17.188 (19.025) Prec@5 42.578 (44.683) Epoch: [1][2480/5809] Time 1.528 (3.811) Data 1.470 (3.744) Loss 3.3813 (3.6366) Prec@1 26.172 (19.034) Prec@5 50.781 (44.692) Epoch: [1][2490/5809] Time 2.310 (3.801) Data 2.246 (3.734) Loss 3.5174 (3.6361) Prec@1 20.312 (19.039) Prec@5 46.875 (44.701) Epoch: [1][2500/5809] Time 1.687 (3.790) Data 1.623 (3.723) Loss 3.5201 (3.6356) Prec@1 23.438 (19.051) Prec@5 47.266 (44.715) Epoch: [1][2510/5809] Time 2.692 (3.780) Data 2.633 (3.713) Loss 3.4491 (3.6350) Prec@1 23.828 (19.063) Prec@5 46.094 (44.727) Epoch: [1][2520/5809] Time 1.156 (3.770) Data 1.093 (3.703) Loss 3.6090 (3.6344) Prec@1 19.141 (19.072) Prec@5 44.531 (44.741) Epoch: [1][2530/5809] Time 3.570 (3.761) Data 3.511 (3.693) Loss 3.5671 (3.6337) Prec@1 19.531 (19.078) Prec@5 44.531 (44.755) Epoch: [1][2540/5809] Time 0.833 (3.750) Data 0.774 (3.683) Loss 3.5732 (3.6335) Prec@1 20.312 (19.086) Prec@5 47.656 (44.759) Epoch: [1][2550/5809] Time 3.851 (3.741) Data 3.785 (3.673) Loss 3.4801 (3.6332) Prec@1 21.094 (19.091) Prec@5 47.266 (44.766) Epoch: [1][2560/5809] Time 0.233 (3.730) Data 0.174 (3.663) Loss 3.5617 (3.6324) Prec@1 20.703 (19.104) Prec@5 44.922 (44.785) Epoch: [1][2570/5809] Time 3.659 (3.721) Data 3.597 (3.654) Loss 3.5917 (3.6316) Prec@1 21.484 (19.118) Prec@5 46.484 (44.807) Epoch: [1][2580/5809] Time 0.134 (3.711) Data 0.001 (3.644) Loss 3.3532 (3.6308) Prec@1 20.703 (19.128) Prec@5 50.391 (44.824) Epoch: [1][2590/5809] Time 3.550 (3.702) Data 3.487 (3.635) Loss 3.5496 (3.6305) Prec@1 20.312 (19.137) Prec@5 48.438 (44.834) Epoch: [1][2600/5809] Time 0.705 (3.692) Data 0.647 (3.625) Loss 3.6693 (3.6302) Prec@1 19.141 (19.142) Prec@5 42.578 (44.841) Epoch: [1][2610/5809] Time 3.055 (3.683) Data 2.996 (3.616) Loss 3.2123 (3.6297) Prec@1 23.828 (19.148) Prec@5 58.203 (44.859) Epoch: [1][2620/5809] Time 0.600 (3.674) Data 0.542 (3.607) Loss 3.5245 (3.6291) Prec@1 21.875 (19.159) Prec@5 50.000 (44.874) Epoch: [1][2630/5809] Time 2.640 (3.665) Data 2.575 (3.597) Loss 3.5827 (3.6286) Prec@1 21.875 (19.166) Prec@5 45.312 (44.884) Epoch: [1][2640/5809] Time 0.133 (3.655) Data 0.001 (3.588) Loss 3.5149 (3.6281) Prec@1 20.703 (19.179) Prec@5 50.781 (44.898) Epoch: [1][2650/5809] Time 3.505 (3.647) Data 3.447 (3.579) Loss 3.6714 (3.6277) Prec@1 19.531 (19.185) Prec@5 42.969 (44.906) Epoch: [1][2660/5809] Time 0.132 (3.637) Data 0.001 (3.570) Loss 3.6763 (3.6273) Prec@1 21.094 (19.197) Prec@5 49.219 (44.915) Epoch: [1][2670/5809] Time 3.523 (3.629) Data 3.462 (3.562) Loss 3.4662 (3.6269) Prec@1 20.312 (19.200) Prec@5 47.266 (44.924) Epoch: [1][2680/5809] Time 0.130 (3.620) Data 0.058 (3.552) Loss 3.6098 (3.6266) Prec@1 22.656 (19.206) Prec@5 42.578 (44.929) Epoch: [1][2690/5809] Time 3.571 (3.612) Data 3.512 (3.544) Loss 3.4323 (3.6260) Prec@1 20.703 (19.214) Prec@5 48.438 (44.937) Epoch: [1][2700/5809] Time 0.206 (3.602) Data 0.144 (3.535) Loss 3.5237 (3.6255) Prec@1 21.094 (19.221) Prec@5 44.531 (44.950) Epoch: [1][2710/5809] Time 3.852 (3.595) Data 3.793 (3.527) Loss 3.4488 (3.6250) Prec@1 18.750 (19.228) Prec@5 46.094 (44.959) Epoch: [1][2720/5809] Time 0.279 (3.585) Data 0.220 (3.518) Loss 3.6309 (3.6244) Prec@1 15.625 (19.235) Prec@5 42.578 (44.971) Epoch: [1][2730/5809] Time 3.307 (3.578) Data 3.249 (3.510) Loss 3.5162 (3.6241) Prec@1 17.969 (19.232) Prec@5 49.609 (44.981) Epoch: [1][2740/5809] Time 0.525 (3.569) Data 0.465 (3.501) Loss 3.3799 (3.6239) Prec@1 21.484 (19.237) Prec@5 51.172 (44.989) Epoch: [1][2750/5809] Time 4.402 (3.561) Data 4.344 (3.494) Loss 3.5861 (3.6234) Prec@1 18.359 (19.242) Prec@5 44.531 (45.000) Epoch: [1][2760/5809] Time 0.135 (3.553) Data 0.001 (3.485) Loss 3.5327 (3.6231) Prec@1 24.609 (19.247) Prec@5 49.219 (45.011) Epoch: [1][2770/5809] Time 4.426 (3.545) Data 4.367 (3.478) Loss 3.6001 (3.6225) Prec@1 20.703 (19.254) Prec@5 48.438 (45.025) Epoch: [1][2780/5809] Time 0.133 (3.537) Data 0.001 (3.469) Loss 3.4783 (3.6217) Prec@1 19.531 (19.266) Prec@5 52.344 (45.043) Epoch: [1][2790/5809] Time 4.063 (3.529) Data 4.004 (3.462) Loss 3.4914 (3.6212) Prec@1 17.578 (19.269) Prec@5 46.875 (45.049) Epoch: [1][2800/5809] Time 0.131 (3.521) Data 0.001 (3.453) Loss 3.4068 (3.6208) Prec@1 19.922 (19.275) Prec@5 49.219 (45.061) Epoch: [1][2810/5809] Time 4.133 (3.514) Data 4.073 (3.446) Loss 3.4701 (3.6203) Prec@1 20.703 (19.284) Prec@5 47.266 (45.079) Epoch: [1][2820/5809] Time 0.133 (3.506) Data 0.006 (3.438) Loss 3.4915 (3.6198) Prec@1 21.875 (19.288) Prec@5 46.875 (45.091) Epoch: [1][2830/5809] Time 4.816 (3.499) Data 4.753 (3.431) Loss 3.4761 (3.6194) Prec@1 17.578 (19.289) Prec@5 49.609 (45.102) Epoch: [1][2840/5809] Time 0.133 (3.491) Data 0.001 (3.423) Loss 3.2032 (3.6189) Prec@1 24.219 (19.297) Prec@5 55.078 (45.117) Epoch: [1][2850/5809] Time 4.249 (3.484) Data 4.187 (3.416) Loss 3.4413 (3.6183) Prec@1 24.219 (19.305) Prec@5 45.312 (45.128) Epoch: [1][2860/5809] Time 0.608 (3.477) Data 0.541 (3.409) Loss 3.2029 (3.6177) Prec@1 25.000 (19.312) Prec@5 52.734 (45.137) Epoch: [1][2870/5809] Time 3.588 (3.470) Data 3.523 (3.402) Loss 3.4735 (3.6172) Prec@1 19.531 (19.323) Prec@5 47.656 (45.150) Epoch: [1][2880/5809] Time 0.838 (3.462) Data 0.779 (3.394) Loss 3.3882 (3.6170) Prec@1 22.266 (19.326) Prec@5 51.953 (45.153) Epoch: [1][2890/5809] Time 3.232 (3.456) Data 3.173 (3.388) Loss 3.2014 (3.6164) Prec@1 22.656 (19.330) Prec@5 51.953 (45.165) Epoch: [1][2900/5809] Time 0.942 (3.448) Data 0.883 (3.380) Loss 3.4690 (3.6159) Prec@1 24.219 (19.339) Prec@5 48.828 (45.174) Epoch: [1][2910/5809] Time 3.419 (3.442) Data 3.360 (3.374) Loss 3.4395 (3.6155) Prec@1 24.609 (19.350) Prec@5 47.656 (45.185) Epoch: [1][2920/5809] Time 0.254 (3.434) Data 0.191 (3.366) Loss 3.4990 (3.6149) Prec@1 22.266 (19.359) Prec@5 48.828 (45.201) Epoch: [1][2930/5809] Time 2.570 (3.428) Data 2.512 (3.360) Loss 3.3894 (3.6142) Prec@1 24.609 (19.367) Prec@5 48.438 (45.218) Epoch: [1][2940/5809] Time 1.042 (3.421) Data 0.982 (3.353) Loss 3.6021 (3.6139) Prec@1 21.484 (19.372) Prec@5 50.391 (45.227) Epoch: [1][2950/5809] Time 1.034 (3.414) Data 0.974 (3.347) Loss 3.2743 (3.6133) Prec@1 24.609 (19.381) Prec@5 51.172 (45.242) Epoch: [1][2960/5809] Time 1.064 (3.407) Data 1.006 (3.340) Loss 3.6760 (3.6130) Prec@1 18.359 (19.390) Prec@5 39.453 (45.248) Epoch: [1][2970/5809] Time 0.132 (3.401) Data 0.001 (3.333) Loss 3.4915 (3.6123) Prec@1 19.922 (19.400) Prec@5 48.828 (45.268) Epoch: [1][2980/5809] Time 0.285 (3.394) Data 0.226 (3.326) Loss 3.4331 (3.6119) Prec@1 19.531 (19.405) Prec@5 49.219 (45.277) Epoch: [1][2990/5809] Time 0.482 (3.388) Data 0.416 (3.320) Loss 3.4050 (3.6114) Prec@1 25.391 (19.415) Prec@5 53.125 (45.290) Epoch: [1][3000/5809] Time 0.271 (3.381) Data 0.209 (3.313) Loss 3.6859 (3.6109) Prec@1 20.703 (19.423) Prec@5 45.703 (45.302) Epoch: [1][3010/5809] Time 1.303 (3.375) Data 1.244 (3.307) Loss 3.3567 (3.6103) Prec@1 21.875 (19.431) Prec@5 50.781 (45.313) Epoch: [1][3020/5809] Time 0.537 (3.368) Data 0.477 (3.300) Loss 3.6279 (3.6099) Prec@1 19.531 (19.439) Prec@5 43.750 (45.321) Epoch: [1][3030/5809] Time 0.262 (3.362) Data 0.203 (3.294) Loss 3.5310 (3.6093) Prec@1 22.266 (19.451) Prec@5 50.000 (45.336) Epoch: [1][3040/5809] Time 0.295 (3.355) Data 0.234 (3.287) Loss 3.6051 (3.6089) Prec@1 17.188 (19.459) Prec@5 48.828 (45.349) Epoch: [1][3050/5809] Time 1.072 (3.349) Data 1.013 (3.281) Loss 3.5117 (3.6083) Prec@1 18.750 (19.465) Prec@5 44.141 (45.362) Epoch: [1][3060/5809] Time 1.565 (3.343) Data 1.506 (3.275) Loss 3.4617 (3.6078) Prec@1 20.703 (19.475) Prec@5 48.438 (45.373) Epoch: [1][3070/5809] Time 0.498 (3.336) Data 0.439 (3.268) Loss 3.3386 (3.6072) Prec@1 21.094 (19.483) Prec@5 49.219 (45.385) Epoch: [1][3080/5809] Time 2.240 (3.330) Data 2.179 (3.262) Loss 3.6446 (3.6070) Prec@1 19.922 (19.488) Prec@5 48.047 (45.395) Epoch: [1][3090/5809] Time 0.133 (3.324) Data 0.001 (3.256) Loss 3.4609 (3.6065) Prec@1 25.000 (19.500) Prec@5 50.391 (45.405) Epoch: [1][3100/5809] Time 2.944 (3.318) Data 2.883 (3.250) Loss 3.4360 (3.6061) Prec@1 22.656 (19.508) Prec@5 50.000 (45.413) Epoch: [1][3110/5809] Time 0.962 (3.312) Data 0.904 (3.244) Loss 3.2498 (3.6056) Prec@1 25.781 (19.516) Prec@5 54.688 (45.426) Epoch: [1][3120/5809] Time 2.696 (3.305) Data 2.634 (3.237) Loss 3.4234 (3.6052) Prec@1 19.141 (19.522) Prec@5 50.000 (45.432) Epoch: [1][3130/5809] Time 0.132 (3.299) Data 0.058 (3.231) Loss 3.6050 (3.6049) Prec@1 18.750 (19.529) Prec@5 43.750 (45.441) Epoch: [1][3140/5809] Time 2.354 (3.293) Data 2.294 (3.225) Loss 3.4634 (3.6043) Prec@1 23.047 (19.538) Prec@5 46.484 (45.455) Epoch: [1][3150/5809] Time 1.523 (3.287) Data 1.465 (3.220) Loss 3.4180 (3.6036) Prec@1 23.828 (19.552) Prec@5 51.172 (45.471) Epoch: [1][3160/5809] Time 2.916 (3.282) Data 2.857 (3.214) Loss 3.4477 (3.6032) Prec@1 21.094 (19.556) Prec@5 50.781 (45.476) Epoch: [1][3170/5809] Time 1.715 (3.276) Data 1.656 (3.208) Loss 3.7087 (3.6029) Prec@1 19.531 (19.561) Prec@5 42.188 (45.480) Epoch: [1][3180/5809] Time 4.145 (3.270) Data 4.087 (3.202) Loss 3.2616 (3.6022) Prec@1 25.781 (19.572) Prec@5 53.125 (45.494) Epoch: [1][3190/5809] Time 1.350 (3.264) Data 1.281 (3.196) Loss 3.3324 (3.6016) Prec@1 19.141 (19.578) Prec@5 49.219 (45.505) Epoch: [1][3200/5809] Time 3.712 (3.259) Data 3.654 (3.191) Loss 3.3849 (3.6010) Prec@1 22.656 (19.588) Prec@5 51.562 (45.518) Epoch: [1][3210/5809] Time 0.587 (3.253) Data 0.528 (3.185) Loss 3.4280 (3.6006) Prec@1 25.000 (19.593) Prec@5 46.094 (45.526) Epoch: [1][3220/5809] Time 4.077 (3.248) Data 4.016 (3.180) Loss 3.4346 (3.6000) Prec@1 20.312 (19.601) Prec@5 50.000 (45.540) Epoch: [1][3230/5809] Time 0.508 (3.242) Data 0.442 (3.174) Loss 3.4861 (3.6001) Prec@1 20.703 (19.601) Prec@5 51.172 (45.540) Epoch: [1][3240/5809] Time 4.386 (3.237) Data 4.328 (3.169) Loss 3.4950 (3.5997) Prec@1 21.484 (19.609) Prec@5 47.266 (45.546) Epoch: [1][3250/5809] Time 0.308 (3.231) Data 0.250 (3.163) Loss 3.5685 (3.5993) Prec@1 19.922 (19.613) Prec@5 49.219 (45.556) Epoch: [1][3260/5809] Time 4.356 (3.226) Data 4.296 (3.158) Loss 3.7335 (3.5990) Prec@1 15.625 (19.616) Prec@5 40.625 (45.564) Epoch: [1][3270/5809] Time 0.301 (3.220) Data 0.237 (3.152) Loss 3.3331 (3.5984) Prec@1 23.828 (19.623) Prec@5 51.562 (45.578) Epoch: [1][3280/5809] Time 4.456 (3.215) Data 4.396 (3.147) Loss 3.6075 (3.5981) Prec@1 23.047 (19.629) Prec@5 44.922 (45.587) Epoch: [1][3290/5809] Time 0.131 (3.209) Data 0.069 (3.141) Loss 3.6871 (3.5977) Prec@1 17.578 (19.636) Prec@5 39.844 (45.595) Epoch: [1][3300/5809] Time 3.921 (3.205) Data 3.862 (3.137) Loss 3.4110 (3.5973) Prec@1 23.828 (19.641) Prec@5 50.391 (45.607) Epoch: [1][3310/5809] Time 0.132 (3.199) Data 0.058 (3.131) Loss 3.2951 (3.5966) Prec@1 25.391 (19.652) Prec@5 50.391 (45.620) Epoch: [1][3320/5809] Time 3.074 (3.194) Data 3.015 (3.126) Loss 3.5324 (3.5960) Prec@1 20.312 (19.662) Prec@5 46.094 (45.636) Epoch: [1][3330/5809] Time 0.878 (3.188) Data 0.820 (3.120) Loss 3.3372 (3.5956) Prec@1 23.047 (19.668) Prec@5 53.125 (45.647) Epoch: [1][3340/5809] Time 3.255 (3.183) Data 3.196 (3.115) Loss 3.5328 (3.5951) Prec@1 18.750 (19.674) Prec@5 44.141 (45.657) Epoch: [1][3350/5809] Time 0.266 (3.177) Data 0.207 (3.110) Loss 3.5723 (3.5948) Prec@1 19.531 (19.679) Prec@5 47.266 (45.664) Epoch: [1][3360/5809] Time 2.111 (3.172) Data 2.053 (3.104) Loss 3.2523 (3.5943) Prec@1 24.609 (19.687) Prec@5 53.516 (45.675) Epoch: [1][3370/5809] Time 0.147 (3.167) Data 0.084 (3.099) Loss 3.3671 (3.5938) Prec@1 23.047 (19.694) Prec@5 52.344 (45.688) Epoch: [1][3380/5809] Time 2.344 (3.162) Data 2.285 (3.094) Loss 3.6829 (3.5934) Prec@1 16.016 (19.700) Prec@5 45.312 (45.698) Epoch: [1][3390/5809] Time 0.133 (3.156) Data 0.048 (3.088) Loss 3.4555 (3.5931) Prec@1 21.094 (19.704) Prec@5 48.828 (45.706) Epoch: [1][3400/5809] Time 3.446 (3.153) Data 3.386 (3.085) Loss 3.5106 (3.5924) Prec@1 21.875 (19.716) Prec@5 42.969 (45.720) Epoch: [1][3410/5809] Time 0.134 (3.147) Data 0.001 (3.079) Loss 3.2904 (3.5919) Prec@1 24.219 (19.725) Prec@5 52.344 (45.734) Epoch: [1][3420/5809] Time 2.170 (3.142) Data 2.107 (3.074) Loss 3.5876 (3.5915) Prec@1 15.234 (19.730) Prec@5 45.312 (45.744) Epoch: [1][3430/5809] Time 0.133 (3.136) Data 0.001 (3.068) Loss 3.6147 (3.5912) Prec@1 22.266 (19.734) Prec@5 44.141 (45.749) Epoch: [1][3440/5809] Time 2.392 (3.131) Data 2.334 (3.063) Loss 3.3541 (3.5909) Prec@1 23.438 (19.737) Prec@5 48.438 (45.754) Epoch: [1][3450/5809] Time 0.983 (3.126) Data 0.924 (3.058) Loss 3.3144 (3.5907) Prec@1 24.609 (19.741) Prec@5 49.609 (45.758) Epoch: [1][3460/5809] Time 3.491 (3.121) Data 3.433 (3.053) Loss 3.2866 (3.5902) Prec@1 24.219 (19.749) Prec@5 53.125 (45.770) Epoch: [1][3470/5809] Time 0.494 (3.115) Data 0.436 (3.047) Loss 3.5524 (3.5898) Prec@1 20.703 (19.754) Prec@5 45.703 (45.777) Epoch: [1][3480/5809] Time 4.451 (3.111) Data 4.392 (3.043) Loss 3.7102 (3.5896) Prec@1 19.922 (19.758) Prec@5 48.047 (45.783) Epoch: [1][3490/5809] Time 0.133 (3.105) Data 0.001 (3.038) Loss 3.5948 (3.5891) Prec@1 20.312 (19.764) Prec@5 44.531 (45.791) Epoch: [1][3500/5809] Time 3.414 (3.101) Data 3.355 (3.033) Loss 3.5067 (3.5887) Prec@1 19.531 (19.772) Prec@5 47.266 (45.798) Epoch: [1][3510/5809] Time 0.132 (3.095) Data 0.001 (3.027) Loss 3.4445 (3.5884) Prec@1 23.438 (19.774) Prec@5 53.125 (45.809) Epoch: [1][3520/5809] Time 2.235 (3.091) Data 2.176 (3.023) Loss 3.6881 (3.5882) Prec@1 23.438 (19.780) Prec@5 46.094 (45.816) Epoch: [1][3530/5809] Time 0.950 (3.086) Data 0.891 (3.018) Loss 3.4269 (3.5878) Prec@1 23.047 (19.787) Prec@5 48.047 (45.826) Epoch: [1][3540/5809] Time 2.214 (3.081) Data 2.154 (3.013) Loss 3.7092 (3.5873) Prec@1 19.141 (19.794) Prec@5 44.922 (45.838) Epoch: [1][3550/5809] Time 1.587 (3.076) Data 1.524 (3.008) Loss 3.5279 (3.5869) Prec@1 14.453 (19.798) Prec@5 48.438 (45.849) Epoch: [1][3560/5809] Time 1.707 (3.071) Data 1.643 (3.003) Loss 3.4743 (3.5866) Prec@1 19.922 (19.807) Prec@5 46.094 (45.855) Epoch: [1][3570/5809] Time 2.818 (3.066) Data 2.760 (2.999) Loss 3.5214 (3.5862) Prec@1 19.922 (19.811) Prec@5 46.484 (45.864) Epoch: [1][3580/5809] Time 1.156 (3.061) Data 1.097 (2.994) Loss 3.4930 (3.5856) Prec@1 21.094 (19.817) Prec@5 46.484 (45.875) Epoch: [1][3590/5809] Time 1.813 (3.057) Data 1.755 (2.989) Loss 3.5523 (3.5852) Prec@1 22.266 (19.822) Prec@5 48.047 (45.887) Epoch: [1][3600/5809] Time 1.707 (3.052) Data 1.648 (2.984) Loss 3.5032 (3.5848) Prec@1 21.484 (19.827) Prec@5 49.609 (45.896) Epoch: [1][3610/5809] Time 1.371 (3.047) Data 1.312 (2.979) Loss 3.3513 (3.5843) Prec@1 21.875 (19.835) Prec@5 52.734 (45.909) Epoch: [1][3620/5809] Time 1.821 (3.043) Data 1.763 (2.975) Loss 3.5397 (3.5841) Prec@1 24.219 (19.839) Prec@5 50.000 (45.915) Epoch: [1][3630/5809] Time 0.592 (3.038) Data 0.532 (2.970) Loss 3.4190 (3.5838) Prec@1 22.266 (19.841) Prec@5 51.953 (45.922) Epoch: [1][3640/5809] Time 2.489 (3.033) Data 2.430 (2.966) Loss 3.3827 (3.5834) Prec@1 22.266 (19.847) Prec@5 46.094 (45.931) Epoch: [1][3650/5809] Time 0.132 (3.028) Data 0.045 (2.960) Loss 3.3739 (3.5831) Prec@1 20.312 (19.855) Prec@5 51.562 (45.939) Epoch: [1][3660/5809] Time 2.716 (3.024) Data 2.656 (2.956) Loss 3.5359 (3.5824) Prec@1 19.141 (19.862) Prec@5 45.312 (45.953) Epoch: [1][3670/5809] Time 0.133 (3.019) Data 0.001 (2.951) Loss 3.3182 (3.5821) Prec@1 26.172 (19.866) Prec@5 51.953 (45.962) Epoch: [1][3680/5809] Time 3.140 (3.015) Data 3.081 (2.947) Loss 3.2844 (3.5817) Prec@1 23.438 (19.874) Prec@5 55.078 (45.970) Epoch: [1][3690/5809] Time 0.535 (3.010) Data 0.477 (2.942) Loss 3.2740 (3.5813) Prec@1 25.000 (19.883) Prec@5 52.344 (45.981) Epoch: [1][3700/5809] Time 2.741 (3.006) Data 2.683 (2.938) Loss 3.3114 (3.5810) Prec@1 23.828 (19.888) Prec@5 51.562 (45.990) Epoch: [1][3710/5809] Time 1.244 (3.001) Data 1.186 (2.933) Loss 3.5490 (3.5806) Prec@1 22.266 (19.895) Prec@5 46.484 (45.998) Epoch: [1][3720/5809] Time 1.933 (2.996) Data 1.873 (2.929) Loss 3.5814 (3.5803) Prec@1 21.484 (19.897) Prec@5 44.922 (46.004) Epoch: [1][3730/5809] Time 2.959 (2.992) Data 2.897 (2.924) Loss 3.4380 (3.5800) Prec@1 21.094 (19.901) Prec@5 52.734 (46.013) Epoch: [1][3740/5809] Time 1.031 (2.987) Data 0.972 (2.920) Loss 3.2013 (3.5795) Prec@1 27.734 (19.909) Prec@5 53.125 (46.023) Epoch: [1][3750/5809] Time 2.938 (2.983) Data 2.879 (2.915) Loss 3.2847 (3.5790) Prec@1 23.047 (19.917) Prec@5 50.391 (46.036) Epoch: [1][3760/5809] Time 0.133 (2.978) Data 0.001 (2.911) Loss 3.4053 (3.5786) Prec@1 21.484 (19.920) Prec@5 50.781 (46.042) Epoch: [1][3770/5809] Time 2.473 (2.974) Data 2.410 (2.906) Loss 3.4037 (3.5782) Prec@1 23.828 (19.927) Prec@5 49.609 (46.052) Epoch: [1][3780/5809] Time 0.462 (2.970) Data 0.399 (2.902) Loss 3.6155 (3.5778) Prec@1 21.094 (19.934) Prec@5 49.219 (46.061) Epoch: [1][3790/5809] Time 1.837 (2.966) Data 1.778 (2.898) Loss 3.5840 (3.5774) Prec@1 19.141 (19.940) Prec@5 46.875 (46.068) Epoch: [1][3800/5809] Time 0.371 (2.961) Data 0.311 (2.893) Loss 3.3386 (3.5770) Prec@1 20.703 (19.945) Prec@5 51.953 (46.077) Epoch: [1][3810/5809] Time 1.083 (2.957) Data 1.024 (2.889) Loss 3.4943 (3.5766) Prec@1 19.922 (19.951) Prec@5 49.609 (46.085) Epoch: [1][3820/5809] Time 0.133 (2.952) Data 0.001 (2.884) Loss 3.1931 (3.5761) Prec@1 27.344 (19.957) Prec@5 53.906 (46.097) Epoch: [1][3830/5809] Time 2.274 (2.948) Data 2.216 (2.881) Loss 3.5394 (3.5756) Prec@1 21.094 (19.965) Prec@5 48.438 (46.109) Epoch: [1][3840/5809] Time 0.132 (2.943) Data 0.001 (2.876) Loss 3.2198 (3.5753) Prec@1 25.781 (19.972) Prec@5 50.000 (46.114) Epoch: [1][3850/5809] Time 1.107 (2.940) Data 1.048 (2.872) Loss 3.2170 (3.5748) Prec@1 23.438 (19.979) Prec@5 58.594 (46.127) Epoch: [1][3860/5809] Time 0.132 (2.935) Data 0.042 (2.867) Loss 3.1963 (3.5745) Prec@1 23.828 (19.984) Prec@5 58.203 (46.137) Epoch: [1][3870/5809] Time 1.081 (2.931) Data 1.022 (2.864) Loss 3.4018 (3.5741) Prec@1 24.609 (19.988) Prec@5 50.391 (46.148) Epoch: [1][3880/5809] Time 0.214 (2.927) Data 0.155 (2.859) Loss 3.3759 (3.5739) Prec@1 23.047 (19.992) Prec@5 50.391 (46.153) Epoch: [1][3890/5809] Time 2.002 (2.923) Data 1.939 (2.855) Loss 3.2907 (3.5735) Prec@1 25.391 (19.998) Prec@5 52.734 (46.163) Epoch: [1][3900/5809] Time 1.499 (2.919) Data 1.436 (2.851) Loss 3.4242 (3.5731) Prec@1 18.750 (20.006) Prec@5 47.266 (46.173) Epoch: [1][3910/5809] Time 0.403 (2.914) Data 0.344 (2.847) Loss 3.3772 (3.5727) Prec@1 24.219 (20.015) Prec@5 49.609 (46.183) Epoch: [1][3920/5809] Time 2.516 (2.911) Data 2.457 (2.843) Loss 3.4290 (3.5722) Prec@1 22.266 (20.020) Prec@5 50.000 (46.195) Epoch: [1][3930/5809] Time 0.820 (2.906) Data 0.758 (2.839) Loss 3.3795 (3.5717) Prec@1 21.484 (20.028) Prec@5 46.484 (46.205) Epoch: [1][3940/5809] Time 3.024 (2.903) Data 2.966 (2.835) Loss 3.5193 (3.5712) Prec@1 20.703 (20.036) Prec@5 48.047 (46.215) Epoch: [1][3950/5809] Time 1.228 (2.899) Data 1.169 (2.831) Loss 3.5127 (3.5709) Prec@1 18.359 (20.041) Prec@5 48.438 (46.221) Epoch: [1][3960/5809] Time 1.963 (2.895) Data 1.904 (2.827) Loss 3.5929 (3.5705) Prec@1 17.578 (20.045) Prec@5 42.188 (46.230) Epoch: [1][3970/5809] Time 1.166 (2.891) Data 1.106 (2.823) Loss 3.5045 (3.5701) Prec@1 22.266 (20.052) Prec@5 44.531 (46.240) Epoch: [1][3980/5809] Time 2.280 (2.887) Data 2.221 (2.820) Loss 3.4527 (3.5696) Prec@1 22.266 (20.059) Prec@5 47.266 (46.251) Epoch: [1][3990/5809] Time 1.623 (2.883) Data 1.564 (2.816) Loss 3.4960 (3.5692) Prec@1 19.531 (20.063) Prec@5 47.266 (46.260) Epoch: [1][4000/5809] Time 3.101 (2.879) Data 3.039 (2.812) Loss 3.5446 (3.5689) Prec@1 21.484 (20.066) Prec@5 46.875 (46.268) Epoch: [1][4010/5809] Time 0.851 (2.875) Data 0.792 (2.808) Loss 3.3661 (3.5685) Prec@1 18.750 (20.070) Prec@5 53.906 (46.278) Epoch: [1][4020/5809] Time 2.087 (2.872) Data 2.026 (2.805) Loss 3.4089 (3.5682) Prec@1 23.438 (20.078) Prec@5 50.781 (46.282) Epoch: [1][4030/5809] Time 1.646 (2.868) Data 1.584 (2.801) Loss 3.4435 (3.5678) Prec@1 23.438 (20.082) Prec@5 49.609 (46.292) Epoch: [1][4040/5809] Time 2.902 (2.865) Data 2.839 (2.798) Loss 3.3925 (3.5672) Prec@1 24.219 (20.093) Prec@5 51.562 (46.302) Epoch: [1][4050/5809] Time 0.582 (2.861) Data 0.523 (2.793) Loss 3.2778 (3.5668) Prec@1 25.391 (20.099) Prec@5 56.641 (46.312) Epoch: [1][4060/5809] Time 2.734 (2.858) Data 2.675 (2.790) Loss 3.3057 (3.5663) Prec@1 24.219 (20.108) Prec@5 53.906 (46.327) Epoch: [1][4070/5809] Time 1.859 (2.854) Data 1.800 (2.786) Loss 3.3943 (3.5659) Prec@1 24.219 (20.111) Prec@5 51.172 (46.332) Epoch: [1][4080/5809] Time 1.376 (2.850) Data 1.315 (2.783) Loss 3.4546 (3.5657) Prec@1 21.484 (20.118) Prec@5 49.609 (46.341) Epoch: [1][4090/5809] Time 1.878 (2.847) Data 1.819 (2.779) Loss 3.3804 (3.5654) Prec@1 21.094 (20.122) Prec@5 52.734 (46.350) Epoch: [1][4100/5809] Time 1.357 (2.843) Data 1.298 (2.776) Loss 3.5376 (3.5650) Prec@1 21.484 (20.128) Prec@5 46.094 (46.358) Epoch: [1][4110/5809] Time 2.396 (2.840) Data 2.337 (2.773) Loss 3.2159 (3.5645) Prec@1 25.000 (20.136) Prec@5 55.859 (46.372) Epoch: [1][4120/5809] Time 1.616 (2.837) Data 1.554 (2.769) Loss 3.5543 (3.5642) Prec@1 20.312 (20.140) Prec@5 46.484 (46.381) Epoch: [1][4130/5809] Time 1.990 (2.833) Data 1.932 (2.766) Loss 3.5235 (3.5640) Prec@1 18.750 (20.144) Prec@5 47.656 (46.386) Epoch: [1][4140/5809] Time 0.962 (2.830) Data 0.903 (2.762) Loss 3.4538 (3.5635) Prec@1 19.531 (20.150) Prec@5 48.438 (46.397) Epoch: [1][4150/5809] Time 2.268 (2.826) Data 2.209 (2.759) Loss 3.4244 (3.5632) Prec@1 22.656 (20.156) Prec@5 50.781 (46.404) Epoch: [1][4160/5809] Time 0.864 (2.823) Data 0.804 (2.755) Loss 3.4523 (3.5627) Prec@1 20.312 (20.162) Prec@5 42.969 (46.412) Epoch: [1][4170/5809] Time 1.751 (2.819) Data 1.692 (2.752) Loss 3.2333 (3.5622) Prec@1 30.469 (20.173) Prec@5 51.562 (46.424) Epoch: [1][4180/5809] Time 0.312 (2.816) Data 0.250 (2.748) Loss 3.4163 (3.5620) Prec@1 23.047 (20.178) Prec@5 49.219 (46.429) Epoch: [1][4190/5809] Time 1.669 (2.812) Data 1.610 (2.745) Loss 3.2965 (3.5615) Prec@1 21.875 (20.185) Prec@5 57.031 (46.443) Epoch: [1][4200/5809] Time 0.542 (2.809) Data 0.479 (2.741) Loss 3.1850 (3.5610) Prec@1 31.641 (20.196) Prec@5 56.641 (46.457) Epoch: [1][4210/5809] Time 2.170 (2.806) Data 2.111 (2.738) Loss 3.2076 (3.5605) Prec@1 21.094 (20.202) Prec@5 51.172 (46.465) Epoch: [1][4220/5809] Time 0.543 (2.802) Data 0.484 (2.735) Loss 3.1849 (3.5600) Prec@1 24.609 (20.209) Prec@5 57.422 (46.474) Epoch: [1][4230/5809] Time 2.456 (2.799) Data 2.396 (2.732) Loss 3.2451 (3.5594) Prec@1 23.828 (20.216) Prec@5 53.906 (46.487) Epoch: [1][4240/5809] Time 0.258 (2.795) Data 0.199 (2.728) Loss 3.4693 (3.5592) Prec@1 22.656 (20.221) Prec@5 45.312 (46.494) Epoch: [1][4250/5809] Time 2.486 (2.792) Data 2.425 (2.725) Loss 3.4063 (3.5589) Prec@1 23.828 (20.226) Prec@5 50.391 (46.501) Epoch: [1][4260/5809] Time 0.380 (2.789) Data 0.322 (2.721) Loss 3.6806 (3.5588) Prec@1 16.406 (20.227) Prec@5 44.141 (46.506) Epoch: [1][4270/5809] Time 2.468 (2.785) Data 2.410 (2.718) Loss 3.2784 (3.5586) Prec@1 21.875 (20.229) Prec@5 51.562 (46.508) Epoch: [1][4280/5809] Time 0.201 (2.782) Data 0.140 (2.715) Loss 3.1843 (3.5581) Prec@1 25.000 (20.236) Prec@5 55.469 (46.519) Epoch: [1][4290/5809] Time 3.062 (2.778) Data 2.999 (2.711) Loss 3.3459 (3.5578) Prec@1 22.656 (20.243) Prec@5 50.000 (46.526) Epoch: [1][4300/5809] Time 0.134 (2.775) Data 0.001 (2.708) Loss 3.4430 (3.5573) Prec@1 18.359 (20.252) Prec@5 48.438 (46.536) Epoch: [1][4310/5809] Time 1.354 (2.772) Data 1.294 (2.704) Loss 3.4764 (3.5569) Prec@1 23.047 (20.262) Prec@5 44.922 (46.545) Epoch: [1][4320/5809] Time 0.130 (2.768) Data 0.048 (2.701) Loss 3.4805 (3.5564) Prec@1 24.219 (20.269) Prec@5 46.484 (46.556) Epoch: [1][4330/5809] Time 2.372 (2.765) Data 2.312 (2.698) Loss 3.4308 (3.5560) Prec@1 23.828 (20.277) Prec@5 51.172 (46.565) Epoch: [1][4340/5809] Time 0.133 (2.762) Data 0.064 (2.695) Loss 3.2216 (3.5555) Prec@1 25.781 (20.285) Prec@5 53.516 (46.578) Epoch: [1][4350/5809] Time 1.528 (2.759) Data 1.469 (2.692) Loss 3.6424 (3.5553) Prec@1 18.750 (20.285) Prec@5 47.656 (46.584) Epoch: [1][4360/5809] Time 0.488 (2.755) Data 0.430 (2.688) Loss 3.2316 (3.5551) Prec@1 25.391 (20.289) Prec@5 51.953 (46.588) Epoch: [1][4370/5809] Time 1.190 (2.752) Data 1.130 (2.685) Loss 3.3328 (3.5547) Prec@1 20.703 (20.297) Prec@5 50.391 (46.595) Epoch: [1][4380/5809] Time 0.388 (2.749) Data 0.329 (2.682) Loss 3.3075 (3.5544) Prec@1 17.578 (20.301) Prec@5 50.391 (46.603) Epoch: [1][4390/5809] Time 1.085 (2.746) Data 1.025 (2.679) Loss 3.2676 (3.5541) Prec@1 25.391 (20.303) Prec@5 53.906 (46.609) Epoch: [1][4400/5809] Time 0.138 (2.742) Data 0.079 (2.675) Loss 3.4247 (3.5537) Prec@1 23.047 (20.310) Prec@5 52.344 (46.618) Epoch: [1][4410/5809] Time 0.851 (2.739) Data 0.792 (2.672) Loss 3.4735 (3.5534) Prec@1 23.438 (20.315) Prec@5 49.609 (46.627) Epoch: [1][4420/5809] Time 0.586 (2.736) Data 0.527 (2.669) Loss 3.5107 (3.5529) Prec@1 20.312 (20.322) Prec@5 50.000 (46.637) Epoch: [1][4430/5809] Time 0.952 (2.733) Data 0.891 (2.666) Loss 3.4797 (3.5526) Prec@1 22.656 (20.325) Prec@5 50.781 (46.646) Epoch: [1][4440/5809] Time 1.034 (2.730) Data 0.975 (2.662) Loss 3.3282 (3.5523) Prec@1 24.609 (20.330) Prec@5 50.000 (46.649) Epoch: [1][4450/5809] Time 0.345 (2.727) Data 0.283 (2.660) Loss 3.5798 (3.5520) Prec@1 22.266 (20.334) Prec@5 45.312 (46.654) Epoch: [1][4460/5809] Time 0.812 (2.723) Data 0.753 (2.656) Loss 3.3999 (3.5515) Prec@1 21.094 (20.342) Prec@5 47.656 (46.665) Epoch: [1][4470/5809] Time 1.201 (2.721) Data 1.142 (2.653) Loss 3.3169 (3.5511) Prec@1 24.609 (20.349) Prec@5 50.391 (46.674) Epoch: [1][4480/5809] Time 0.732 (2.717) Data 0.673 (2.650) Loss 3.2331 (3.5508) Prec@1 26.172 (20.355) Prec@5 53.516 (46.680) Epoch: [1][4490/5809] Time 0.550 (2.714) Data 0.492 (2.647) Loss 3.1666 (3.5504) Prec@1 28.906 (20.363) Prec@5 56.641 (46.692) Epoch: [1][4500/5809] Time 0.609 (2.711) Data 0.550 (2.644) Loss 3.2696 (3.5499) Prec@1 27.734 (20.372) Prec@5 51.172 (46.705) Epoch: [1][4510/5809] Time 0.133 (2.708) Data 0.067 (2.641) Loss 3.4735 (3.5494) Prec@1 21.875 (20.379) Prec@5 48.828 (46.713) Epoch: [1][4520/5809] Time 0.832 (2.704) Data 0.773 (2.637) Loss 3.3885 (3.5492) Prec@1 24.219 (20.383) Prec@5 48.828 (46.719) Epoch: [1][4530/5809] Time 1.317 (2.702) Data 1.253 (2.635) Loss 3.1786 (3.5488) Prec@1 23.047 (20.387) Prec@5 53.125 (46.726) Epoch: [1][4540/5809] Time 1.953 (2.699) Data 1.890 (2.632) Loss 3.4228 (3.5484) Prec@1 23.047 (20.393) Prec@5 51.562 (46.736) Epoch: [1][4550/5809] Time 1.231 (2.697) Data 1.172 (2.630) Loss 3.5069 (3.5480) Prec@1 19.531 (20.401) Prec@5 47.656 (46.746) Epoch: [1][4560/5809] Time 1.328 (2.694) Data 1.265 (2.627) Loss 3.3888 (3.5476) Prec@1 21.875 (20.407) Prec@5 52.344 (46.757) Epoch: [1][4570/5809] Time 1.858 (2.692) Data 1.795 (2.625) Loss 3.5496 (3.5470) Prec@1 22.266 (20.415) Prec@5 45.703 (46.769) Epoch: [1][4580/5809] Time 0.606 (2.690) Data 0.546 (2.622) Loss 3.2963 (3.5465) Prec@1 23.438 (20.424) Prec@5 52.344 (46.779) Epoch: [1][4590/5809] Time 2.974 (2.687) Data 2.916 (2.620) Loss 3.4203 (3.5460) Prec@1 23.828 (20.429) Prec@5 51.562 (46.790) Epoch: [1][4600/5809] Time 0.886 (2.685) Data 0.827 (2.618) Loss 3.5893 (3.5457) Prec@1 20.703 (20.434) Prec@5 44.531 (46.796) Epoch: [1][4610/5809] Time 4.095 (2.683) Data 4.036 (2.616) Loss 3.2149 (3.5453) Prec@1 24.219 (20.439) Prec@5 56.250 (46.804) Epoch: [1][4620/5809] Time 0.341 (2.680) Data 0.282 (2.613) Loss 3.0867 (3.5449) Prec@1 28.906 (20.447) Prec@5 57.031 (46.814) Epoch: [1][4630/5809] Time 4.480 (2.678) Data 4.421 (2.611) Loss 3.1054 (3.5444) Prec@1 28.516 (20.453) Prec@5 55.078 (46.823) Epoch: [1][4640/5809] Time 0.611 (2.675) Data 0.548 (2.608) Loss 3.3941 (3.5439) Prec@1 22.266 (20.461) Prec@5 51.172 (46.835) Epoch: [1][4650/5809] Time 4.249 (2.674) Data 4.190 (2.607) Loss 3.5353 (3.5436) Prec@1 20.703 (20.467) Prec@5 49.219 (46.842) Epoch: [1][4660/5809] Time 0.543 (2.671) Data 0.484 (2.604) Loss 3.3466 (3.5432) Prec@1 21.875 (20.472) Prec@5 46.875 (46.851) Epoch: [1][4670/5809] Time 3.444 (2.669) Data 3.386 (2.602) Loss 3.4576 (3.5430) Prec@1 23.047 (20.475) Prec@5 47.266 (46.853) Epoch: [1][4680/5809] Time 0.454 (2.666) Data 0.394 (2.599) Loss 3.5562 (3.5428) Prec@1 24.609 (20.481) Prec@5 45.703 (46.857) Epoch: [1][4690/5809] Time 2.930 (2.663) Data 2.864 (2.596) Loss 3.5872 (3.5426) Prec@1 20.312 (20.486) Prec@5 49.219 (46.864) Epoch: [1][4700/5809] Time 0.138 (2.660) Data 0.079 (2.593) Loss 3.6434 (3.5421) Prec@1 23.047 (20.494) Prec@5 43.750 (46.872) Epoch: [1][4710/5809] Time 2.996 (2.658) Data 2.932 (2.591) Loss 3.6134 (3.5419) Prec@1 21.094 (20.497) Prec@5 44.531 (46.877) Epoch: [1][4720/5809] Time 0.499 (2.655) Data 0.440 (2.588) Loss 3.3579 (3.5416) Prec@1 26.562 (20.502) Prec@5 49.219 (46.885) Epoch: [1][4730/5809] Time 2.207 (2.652) Data 2.148 (2.585) Loss 3.2473 (3.5414) Prec@1 22.656 (20.505) Prec@5 53.125 (46.891) Epoch: [1][4740/5809] Time 0.318 (2.649) Data 0.260 (2.582) Loss 3.5651 (3.5412) Prec@1 23.828 (20.510) Prec@5 46.484 (46.896) Epoch: [1][4750/5809] Time 2.487 (2.647) Data 2.421 (2.580) Loss 3.4490 (3.5410) Prec@1 24.219 (20.515) Prec@5 50.000 (46.901) Epoch: [1][4760/5809] Time 0.217 (2.644) Data 0.158 (2.577) Loss 3.3595 (3.5406) Prec@1 23.438 (20.520) Prec@5 48.438 (46.910) Epoch: [1][4770/5809] Time 2.023 (2.642) Data 1.961 (2.575) Loss 3.4753 (3.5402) Prec@1 24.219 (20.527) Prec@5 47.266 (46.918) Epoch: [1][4780/5809] Time 0.132 (2.639) Data 0.001 (2.572) Loss 3.4750 (3.5399) Prec@1 22.266 (20.532) Prec@5 48.828 (46.926) Epoch: [1][4790/5809] Time 2.265 (2.636) Data 2.207 (2.569) Loss 3.3855 (3.5395) Prec@1 24.219 (20.540) Prec@5 49.219 (46.935) Epoch: [1][4800/5809] Time 0.133 (2.634) Data 0.001 (2.566) Loss 3.2542 (3.5394) Prec@1 24.219 (20.543) Prec@5 56.641 (46.940) Epoch: [1][4810/5809] Time 3.185 (2.631) Data 3.126 (2.564) Loss 3.6171 (3.5390) Prec@1 16.406 (20.551) Prec@5 48.438 (46.947) Epoch: [1][4820/5809] Time 0.132 (2.629) Data 0.001 (2.561) Loss 3.3477 (3.5387) Prec@1 23.438 (20.555) Prec@5 52.734 (46.954) Epoch: [1][4830/5809] Time 2.109 (2.626) Data 2.050 (2.559) Loss 3.2260 (3.5383) Prec@1 25.000 (20.560) Prec@5 54.297 (46.963) Epoch: [1][4840/5809] Time 1.356 (2.623) Data 1.297 (2.556) Loss 3.4112 (3.5379) Prec@1 19.141 (20.565) Prec@5 49.219 (46.972) Epoch: [1][4850/5809] Time 1.595 (2.621) Data 1.534 (2.554) Loss 3.5069 (3.5377) Prec@1 26.562 (20.569) Prec@5 46.484 (46.978) Epoch: [1][4860/5809] Time 1.737 (2.618) Data 1.678 (2.551) Loss 3.3081 (3.5374) Prec@1 21.484 (20.574) Prec@5 51.562 (46.984) Epoch: [1][4870/5809] Time 2.209 (2.616) Data 2.146 (2.548) Loss 3.2287 (3.5368) Prec@1 26.953 (20.586) Prec@5 52.344 (46.999) Epoch: [1][4880/5809] Time 1.697 (2.613) Data 1.637 (2.546) Loss 3.3965 (3.5365) Prec@1 25.000 (20.592) Prec@5 48.047 (47.006) Epoch: [1][4890/5809] Time 0.777 (2.610) Data 0.714 (2.543) Loss 3.6090 (3.5359) Prec@1 18.359 (20.599) Prec@5 50.000 (47.020) Epoch: [1][4900/5809] Time 0.573 (2.608) Data 0.506 (2.541) Loss 3.3347 (3.5356) Prec@1 22.656 (20.604) Prec@5 52.734 (47.027) Epoch: [1][4910/5809] Time 1.431 (2.605) Data 1.369 (2.538) Loss 3.4212 (3.5351) Prec@1 21.094 (20.609) Prec@5 50.391 (47.038) Epoch: [1][4920/5809] Time 0.349 (2.603) Data 0.290 (2.536) Loss 3.6405 (3.5347) Prec@1 19.922 (20.616) Prec@5 41.406 (47.047) Epoch: [1][4930/5809] Time 0.682 (2.600) Data 0.620 (2.533) Loss 3.3689 (3.5345) Prec@1 23.047 (20.619) Prec@5 50.391 (47.054) Epoch: [1][4940/5809] Time 0.913 (2.598) Data 0.850 (2.531) Loss 3.4140 (3.5341) Prec@1 24.219 (20.625) Prec@5 53.516 (47.062) Epoch: [1][4950/5809] Time 0.132 (2.595) Data 0.001 (2.528) Loss 3.5860 (3.5338) Prec@1 19.141 (20.631) Prec@5 50.781 (47.070) Epoch: [1][4960/5809] Time 1.769 (2.593) Data 1.710 (2.526) Loss 3.5040 (3.5336) Prec@1 17.578 (20.634) Prec@5 48.828 (47.075) Epoch: [1][4970/5809] Time 0.754 (2.591) Data 0.693 (2.524) Loss 3.4696 (3.5332) Prec@1 25.391 (20.639) Prec@5 48.438 (47.083) Epoch: [1][4980/5809] Time 1.447 (2.588) Data 1.381 (2.521) Loss 3.4411 (3.5327) Prec@1 25.000 (20.648) Prec@5 49.219 (47.093) Epoch: [1][4990/5809] Time 0.895 (2.586) Data 0.835 (2.519) Loss 3.4271 (3.5324) Prec@1 20.312 (20.652) Prec@5 45.703 (47.099) Epoch: [1][5000/5809] Time 1.427 (2.584) Data 1.368 (2.516) Loss 3.4560 (3.5322) Prec@1 17.969 (20.656) Prec@5 46.484 (47.105) Epoch: [1][5010/5809] Time 1.437 (2.581) Data 1.379 (2.514) Loss 3.2609 (3.5318) Prec@1 27.344 (20.661) Prec@5 56.250 (47.115) Epoch: [1][5020/5809] Time 1.444 (2.579) Data 1.386 (2.512) Loss 3.1896 (3.5314) Prec@1 26.953 (20.666) Prec@5 53.125 (47.124) Epoch: [1][5030/5809] Time 2.447 (2.576) Data 2.388 (2.509) Loss 3.4814 (3.5310) Prec@1 20.312 (20.672) Prec@5 48.828 (47.133) Epoch: [1][5040/5809] Time 0.635 (2.574) Data 0.574 (2.507) Loss 3.3053 (3.5307) Prec@1 21.094 (20.677) Prec@5 51.562 (47.138) Epoch: [1][5050/5809] Time 1.187 (2.571) Data 1.129 (2.504) Loss 3.3858 (3.5304) Prec@1 23.438 (20.682) Prec@5 51.953 (47.145) Epoch: [1][5060/5809] Time 0.132 (2.569) Data 0.050 (2.502) Loss 3.2541 (3.5299) Prec@1 27.734 (20.693) Prec@5 55.859 (47.158) Epoch: [1][5070/5809] Time 1.664 (2.566) Data 1.596 (2.499) Loss 3.3756 (3.5297) Prec@1 23.828 (20.698) Prec@5 48.828 (47.165) Epoch: [1][5080/5809] Time 0.411 (2.564) Data 0.353 (2.497) Loss 3.4405 (3.5293) Prec@1 24.609 (20.706) Prec@5 52.734 (47.172) Epoch: [1][5090/5809] Time 1.492 (2.562) Data 1.427 (2.495) Loss 3.5045 (3.5291) Prec@1 17.578 (20.709) Prec@5 48.047 (47.176) Epoch: [1][5100/5809] Time 0.132 (2.559) Data 0.001 (2.492) Loss 3.6131 (3.5287) Prec@1 18.359 (20.715) Prec@5 46.875 (47.187) Epoch: [1][5110/5809] Time 2.186 (2.557) Data 2.127 (2.490) Loss 3.2220 (3.5282) Prec@1 25.391 (20.722) Prec@5 53.125 (47.198) Epoch: [1][5120/5809] Time 0.227 (2.554) Data 0.167 (2.487) Loss 3.3127 (3.5279) Prec@1 23.828 (20.727) Prec@5 48.438 (47.207) Epoch: [1][5130/5809] Time 1.978 (2.552) Data 1.920 (2.485) Loss 3.2680 (3.5276) Prec@1 23.438 (20.732) Prec@5 53.516 (47.215) Epoch: [1][5140/5809] Time 0.134 (2.550) Data 0.001 (2.483) Loss 3.3359 (3.5272) Prec@1 24.609 (20.738) Prec@5 53.516 (47.223) Epoch: [1][5150/5809] Time 1.351 (2.547) Data 1.289 (2.480) Loss 3.3496 (3.5267) Prec@1 24.609 (20.745) Prec@5 51.172 (47.236) Epoch: [1][5160/5809] Time 0.231 (2.545) Data 0.172 (2.478) Loss 3.5068 (3.5265) Prec@1 20.312 (20.750) Prec@5 45.312 (47.239) Epoch: [1][5170/5809] Time 0.916 (2.543) Data 0.857 (2.476) Loss 3.2633 (3.5262) Prec@1 25.781 (20.755) Prec@5 57.422 (47.247) Epoch: [1][5180/5809] Time 1.376 (2.540) Data 1.317 (2.473) Loss 3.3021 (3.5259) Prec@1 25.000 (20.757) Prec@5 54.688 (47.254) Epoch: [1][5190/5809] Time 1.442 (2.538) Data 1.383 (2.471) Loss 3.1712 (3.5255) Prec@1 28.516 (20.764) Prec@5 54.297 (47.260) Epoch: [1][5200/5809] Time 2.238 (2.536) Data 2.175 (2.469) Loss 3.3321 (3.5252) Prec@1 25.781 (20.770) Prec@5 52.344 (47.270) Epoch: [1][5210/5809] Time 1.117 (2.533) Data 1.059 (2.466) Loss 3.4788 (3.5248) Prec@1 22.656 (20.773) Prec@5 50.781 (47.279) Epoch: [1][5220/5809] Time 1.631 (2.531) Data 1.572 (2.464) Loss 3.3608 (3.5245) Prec@1 24.609 (20.777) Prec@5 51.953 (47.285) Epoch: [1][5230/5809] Time 0.526 (2.529) Data 0.467 (2.462) Loss 3.5008 (3.5242) Prec@1 20.312 (20.785) Prec@5 49.219 (47.293) Epoch: [1][5240/5809] Time 1.476 (2.526) Data 1.418 (2.459) Loss 3.1758 (3.5238) Prec@1 25.391 (20.792) Prec@5 57.031 (47.304) Epoch: [1][5250/5809] Time 1.547 (2.524) Data 1.481 (2.457) Loss 3.2857 (3.5233) Prec@1 27.344 (20.799) Prec@5 48.438 (47.313) Epoch: [1][5260/5809] Time 1.397 (2.522) Data 1.334 (2.455) Loss 3.4148 (3.5230) Prec@1 22.656 (20.803) Prec@5 50.000 (47.317) Epoch: [1][5270/5809] Time 0.326 (2.519) Data 0.265 (2.453) Loss 3.2984 (3.5227) Prec@1 22.266 (20.809) Prec@5 48.828 (47.327) Epoch: [1][5280/5809] Time 0.931 (2.517) Data 0.865 (2.450) Loss 3.3825 (3.5224) Prec@1 24.609 (20.814) Prec@5 49.219 (47.334) Epoch: [1][5290/5809] Time 0.763 (2.515) Data 0.703 (2.448) Loss 3.2228 (3.5218) Prec@1 24.219 (20.822) Prec@5 57.031 (47.348) Epoch: [1][5300/5809] Time 0.177 (2.513) Data 0.116 (2.446) Loss 3.5602 (3.5215) Prec@1 19.531 (20.829) Prec@5 47.656 (47.357) Epoch: [1][5310/5809] Time 1.232 (2.510) Data 1.173 (2.443) Loss 3.3956 (3.5211) Prec@1 24.609 (20.836) Prec@5 50.000 (47.366) Epoch: [1][5320/5809] Time 0.614 (2.508) Data 0.554 (2.441) Loss 3.5366 (3.5209) Prec@1 19.531 (20.840) Prec@5 47.266 (47.370) Epoch: [1][5330/5809] Time 0.648 (2.506) Data 0.589 (2.439) Loss 3.4929 (3.5205) Prec@1 18.750 (20.844) Prec@5 50.391 (47.377) Epoch: [1][5340/5809] Time 1.787 (2.504) Data 1.725 (2.437) Loss 3.3510 (3.5202) Prec@1 19.141 (20.849) Prec@5 51.172 (47.384) Epoch: [1][5350/5809] Time 1.176 (2.501) Data 1.111 (2.435) Loss 3.1968 (3.5199) Prec@1 27.344 (20.853) Prec@5 50.000 (47.389) Epoch: [1][5360/5809] Time 2.013 (2.499) Data 1.954 (2.433) Loss 3.2368 (3.5195) Prec@1 29.297 (20.860) Prec@5 55.078 (47.397) Epoch: [1][5370/5809] Time 0.644 (2.497) Data 0.585 (2.430) Loss 3.2908 (3.5192) Prec@1 22.656 (20.864) Prec@5 52.344 (47.403) Epoch: [1][5380/5809] Time 1.281 (2.495) Data 1.222 (2.428) Loss 3.4028 (3.5187) Prec@1 23.828 (20.872) Prec@5 51.562 (47.415) Epoch: [1][5390/5809] Time 0.525 (2.492) Data 0.467 (2.425) Loss 3.2019 (3.5183) Prec@1 25.391 (20.881) Prec@5 53.516 (47.425) Epoch: [1][5400/5809] Time 1.599 (2.490) Data 1.541 (2.424) Loss 3.2212 (3.5180) Prec@1 25.781 (20.887) Prec@5 50.000 (47.433) Epoch: [1][5410/5809] Time 0.133 (2.488) Data 0.001 (2.421) Loss 3.3601 (3.5177) Prec@1 23.047 (20.893) Prec@5 50.391 (47.442) Epoch: [1][5420/5809] Time 2.690 (2.486) Data 2.631 (2.419) Loss 3.1850 (3.5173) Prec@1 27.344 (20.901) Prec@5 56.641 (47.451) Epoch: [1][5430/5809] Time 0.136 (2.484) Data 0.001 (2.417) Loss 3.4254 (3.5170) Prec@1 19.922 (20.905) Prec@5 48.047 (47.456) Epoch: [1][5440/5809] Time 2.909 (2.482) Data 2.841 (2.415) Loss 3.2160 (3.5166) Prec@1 26.172 (20.911) Prec@5 53.906 (47.465) Epoch: [1][5450/5809] Time 0.127 (2.479) Data 0.053 (2.412) Loss 3.3620 (3.5164) Prec@1 19.922 (20.915) Prec@5 52.734 (47.472) Epoch: [1][5460/5809] Time 2.526 (2.478) Data 2.468 (2.411) Loss 3.4312 (3.5161) Prec@1 21.094 (20.919) Prec@5 50.391 (47.478) Epoch: [1][5470/5809] Time 1.085 (2.476) Data 1.027 (2.409) Loss 3.5004 (3.5157) Prec@1 19.141 (20.923) Prec@5 50.781 (47.487) Epoch: [1][5480/5809] Time 2.624 (2.474) Data 2.560 (2.407) Loss 3.3674 (3.5154) Prec@1 20.312 (20.929) Prec@5 50.000 (47.496) Epoch: [1][5490/5809] Time 1.563 (2.472) Data 1.504 (2.405) Loss 3.1306 (3.5149) Prec@1 27.734 (20.934) Prec@5 54.297 (47.504) Epoch: [1][5500/5809] Time 2.254 (2.470) Data 2.196 (2.403) Loss 3.2081 (3.5146) Prec@1 25.391 (20.937) Prec@5 55.078 (47.511) Epoch: [1][5510/5809] Time 1.536 (2.468) Data 1.476 (2.401) Loss 3.4117 (3.5142) Prec@1 21.484 (20.945) Prec@5 51.953 (47.520) Epoch: [1][5520/5809] Time 2.639 (2.466) Data 2.581 (2.399) Loss 3.3295 (3.5139) Prec@1 22.656 (20.948) Prec@5 53.125 (47.526) Epoch: [1][5530/5809] Time 1.369 (2.464) Data 1.309 (2.397) Loss 3.5000 (3.5136) Prec@1 25.391 (20.954) Prec@5 50.000 (47.537) Epoch: [1][5540/5809] Time 1.963 (2.462) Data 1.899 (2.395) Loss 3.3773 (3.5132) Prec@1 24.609 (20.960) Prec@5 50.000 (47.544) Epoch: [1][5550/5809] Time 1.829 (2.460) Data 1.771 (2.393) Loss 3.2089 (3.5128) Prec@1 27.344 (20.967) Prec@5 53.516 (47.553) Epoch: [1][5560/5809] Time 1.017 (2.458) Data 0.958 (2.391) Loss 3.3231 (3.5125) Prec@1 25.391 (20.971) Prec@5 52.344 (47.561) Epoch: [1][5570/5809] Time 1.521 (2.456) Data 1.463 (2.389) Loss 3.2727 (3.5121) Prec@1 27.734 (20.977) Prec@5 55.859 (47.568) Epoch: [1][5580/5809] Time 0.126 (2.454) Data 0.059 (2.387) Loss 3.4039 (3.5117) Prec@1 21.484 (20.982) Prec@5 55.469 (47.577) Epoch: [1][5590/5809] Time 1.506 (2.452) Data 1.447 (2.385) Loss 3.2576 (3.5114) Prec@1 22.266 (20.987) Prec@5 52.344 (47.585) Epoch: [1][5600/5809] Time 0.716 (2.450) Data 0.656 (2.383) Loss 2.9748 (3.5111) Prec@1 29.688 (20.994) Prec@5 59.766 (47.592) Epoch: [1][5610/5809] Time 0.144 (2.448) Data 0.084 (2.381) Loss 3.3123 (3.5107) Prec@1 25.781 (21.000) Prec@5 51.562 (47.599) Epoch: [1][5620/5809] Time 1.033 (2.446) Data 0.974 (2.379) Loss 3.2308 (3.5104) Prec@1 29.297 (21.004) Prec@5 51.172 (47.606) Epoch: [1][5630/5809] Time 0.134 (2.444) Data 0.001 (2.377) Loss 3.3801 (3.5101) Prec@1 21.484 (21.007) Prec@5 53.125 (47.612) Epoch: [1][5640/5809] Time 1.974 (2.442) Data 1.915 (2.376) Loss 3.1284 (3.5099) Prec@1 25.781 (21.012) Prec@5 55.859 (47.617) Epoch: [1][5650/5809] Time 0.961 (2.440) Data 0.902 (2.374) Loss 3.3652 (3.5095) Prec@1 24.219 (21.019) Prec@5 48.828 (47.625) Epoch: [1][5660/5809] Time 1.209 (2.438) Data 1.151 (2.372) Loss 3.2975 (3.5091) Prec@1 23.828 (21.026) Prec@5 51.953 (47.634) Epoch: [1][5670/5809] Time 0.146 (2.437) Data 0.081 (2.370) Loss 3.0911 (3.5087) Prec@1 26.953 (21.033) Prec@5 54.297 (47.644) Epoch: [1][5680/5809] Time 1.935 (2.435) Data 1.872 (2.368) Loss 3.4310 (3.5083) Prec@1 20.312 (21.039) Prec@5 48.828 (47.652) Epoch: [1][5690/5809] Time 0.310 (2.433) Data 0.246 (2.366) Loss 3.0363 (3.5079) Prec@1 29.297 (21.046) Prec@5 61.328 (47.663) Epoch: [1][5700/5809] Time 2.972 (2.431) Data 2.912 (2.364) Loss 3.3243 (3.5075) Prec@1 24.219 (21.051) Prec@5 51.953 (47.671) Epoch: [1][5710/5809] Time 0.338 (2.429) Data 0.280 (2.363) Loss 3.3611 (3.5070) Prec@1 20.703 (21.059) Prec@5 51.953 (47.682) Epoch: [1][5720/5809] Time 2.949 (2.427) Data 2.886 (2.361) Loss 3.2502 (3.5066) Prec@1 26.953 (21.067) Prec@5 56.250 (47.693) Epoch: [1][5730/5809] Time 0.159 (2.426) Data 0.095 (2.359) Loss 3.4194 (3.5062) Prec@1 21.484 (21.075) Prec@5 52.734 (47.701) Epoch: [1][5740/5809] Time 3.041 (2.424) Data 2.982 (2.357) Loss 3.3662 (3.5058) Prec@1 25.000 (21.083) Prec@5 55.078 (47.711) Epoch: [1][5750/5809] Time 0.309 (2.422) Data 0.251 (2.355) Loss 3.2281 (3.5055) Prec@1 22.656 (21.085) Prec@5 52.734 (47.717) Epoch: [1][5760/5809] Time 3.476 (2.420) Data 3.418 (2.354) Loss 3.4213 (3.5052) Prec@1 21.875 (21.091) Prec@5 51.953 (47.723) Epoch: [1][5770/5809] Time 0.505 (2.419) Data 0.442 (2.352) Loss 3.2181 (3.5048) Prec@1 26.172 (21.095) Prec@5 51.953 (47.731) Epoch: [1][5780/5809] Time 3.562 (2.417) Data 3.502 (2.350) Loss 3.3594 (3.5045) Prec@1 28.125 (21.102) Prec@5 51.172 (47.739) Epoch: [1][5790/5809] Time 0.991 (2.415) Data 0.932 (2.348) Loss 3.3126 (3.5042) Prec@1 24.609 (21.106) Prec@5 50.781 (47.746) Epoch: [1][5800/5809] Time 3.089 (2.414) Data 3.031 (2.347) Loss 3.2317 (3.5039) Prec@1 24.609 (21.111) Prec@5 55.859 (47.752) Test: [0/143] Time 2.591 (2.591) Loss 2.8540 (2.8540) Prec@1 33.203 (33.203) Prec@5 64.453 (64.453) Test: [10/143] Time 0.055 (0.841) Loss 9.4303 (8.5123) Prec@1 0.000 (3.871) Prec@5 0.000 (10.866) Test: [20/143] Time 1.625 (0.767) Loss 10.8396 (9.3805) Prec@1 0.000 (2.102) Prec@5 0.000 (6.194) Test: [30/143] Time 0.055 (0.677) Loss 13.0043 (9.7307) Prec@1 0.391 (1.449) Prec@5 0.391 (4.524) Test: [40/143] Time 0.059 (0.682) Loss 10.3495 (9.8524) Prec@1 0.391 (1.134) Prec@5 1.562 (3.630) Test: [50/143] Time 0.981 (0.637) Loss 8.3803 (9.8848) Prec@1 0.000 (1.042) Prec@5 2.734 (3.830) Test: [60/143] Time 0.234 (0.598) Loss 10.5809 (9.9783) Prec@1 0.391 (0.897) Prec@5 1.562 (3.356) Test: [70/143] Time 0.055 (0.584) Loss 7.6366 (10.0970) Prec@1 0.000 (0.776) Prec@5 2.734 (3.031) Test: [80/143] Time 0.056 (0.561) Loss 8.4285 (10.0687) Prec@1 0.391 (0.723) Prec@5 1.172 (2.918) Test: [90/143] Time 0.142 (0.553) Loss 7.9255 (10.0040) Prec@1 0.781 (0.674) Prec@5 3.906 (2.756) Test: [100/143] Time 0.272 (0.534) Loss 11.5551 (9.9752) Prec@1 0.000 (0.630) Prec@5 0.000 (2.576) Test: [110/143] Time 0.056 (0.526) Loss 13.2129 (9.9889) Prec@1 0.000 (0.577) Prec@5 0.000 (2.432) Test: [120/143] Time 0.055 (0.510) Loss 14.3741 (10.0848) Prec@1 0.000 (0.568) Prec@5 0.000 (2.379) Test: [130/143] Time 0.060 (0.509) Loss 14.7333 (10.4860) Prec@1 0.000 (0.525) Prec@5 0.000 (2.198) Test: [140/143] Time 0.439 (0.500) Loss 16.2428 (10.8097) Prec@1 0.000 (0.488) Prec@5 0.000 (2.042) * Prec@1 0.482 Prec@5 2.020 Epoch: [2][0/5809] Time 3.547 (3.547) Data 3.460 (3.460) Loss 3.4132 (3.4132) Prec@1 20.312 (20.312) Prec@5 50.391 (50.391) Epoch: [2][10/5809] Time 0.135 (0.705) Data 0.001 (0.600) Loss 3.4101 (3.3848) Prec@1 24.219 (22.798) Prec@5 53.516 (50.852) Epoch: [2][20/5809] Time 1.209 (0.627) Data 1.149 (0.532) Loss 3.4010 (3.3368) Prec@1 23.047 (23.810) Prec@5 52.344 (51.897) Epoch: [2][30/5809] Time 0.139 (0.569) Data 0.001 (0.479) Loss 3.2862 (3.3359) Prec@1 23.828 (23.765) Prec@5 53.125 (52.079) Epoch: [2][40/5809] Time 0.911 (0.554) Data 0.852 (0.470) Loss 3.1449 (3.3208) Prec@1 28.516 (23.981) Prec@5 51.562 (52.058) Epoch: [2][50/5809] Time 0.286 (0.540) Data 0.220 (0.457) Loss 3.2525 (3.3166) Prec@1 23.047 (24.188) Prec@5 53.125 (52.175) Epoch: [2][60/5809] Time 0.556 (0.524) Data 0.492 (0.442) Loss 3.2805 (3.3138) Prec@1 27.734 (24.372) Prec@5 53.906 (52.350) Epoch: [2][70/5809] Time 0.132 (0.515) Data 0.047 (0.434) Loss 3.1478 (3.2909) Prec@1 26.562 (24.637) Prec@5 57.031 (52.839) Epoch: [2][80/5809] Time 0.352 (0.512) Data 0.293 (0.434) Loss 3.1731 (3.2847) Prec@1 25.391 (24.696) Prec@5 53.516 (52.865) Epoch: [2][90/5809] Time 0.133 (0.510) Data 0.001 (0.432) Loss 3.2415 (3.2820) Prec@1 27.344 (24.803) Prec@5 54.297 (52.910) Epoch: [2][100/5809] Time 0.132 (0.513) Data 0.044 (0.437) Loss 3.2772 (3.2737) Prec@1 26.172 (24.903) Prec@5 51.562 (53.063) Epoch: [2][110/5809] Time 0.176 (0.514) Data 0.117 (0.439) Loss 3.3203 (3.2687) Prec@1 24.219 (24.884) Prec@5 51.953 (53.157) Epoch: [2][120/5809] Time 0.373 (0.511) Data 0.314 (0.437) Loss 3.1292 (3.2733) Prec@1 32.031 (24.890) Prec@5 57.031 (53.054) Epoch: [2][130/5809] Time 0.197 (0.511) Data 0.138 (0.437) Loss 3.2502 (3.2751) Prec@1 22.656 (24.925) Prec@5 52.344 (52.961) Epoch: [2][140/5809] Time 0.669 (0.509) Data 0.609 (0.436) Loss 3.3567 (3.2743) Prec@1 23.828 (24.953) Prec@5 51.953 (53.006) Epoch: [2][150/5809] Time 0.196 (0.505) Data 0.136 (0.433) Loss 3.4256 (3.2742) Prec@1 28.125 (25.008) Prec@5 51.562 (53.063) Epoch: [2][160/5809] Time 1.173 (0.508) Data 1.107 (0.437) Loss 3.2535 (3.2763) Prec@1 22.656 (24.998) Prec@5 53.906 (52.972) Epoch: [2][170/5809] Time 0.847 (0.510) Data 0.788 (0.439) Loss 3.1983 (3.2717) Prec@1 24.609 (24.982) Prec@5 54.688 (52.986) Epoch: [2][180/5809] Time 0.847 (0.510) Data 0.783 (0.439) Loss 3.4940 (3.2759) Prec@1 18.750 (24.892) Prec@5 46.094 (52.939) Epoch: [2][190/5809] Time 0.922 (0.509) Data 0.863 (0.438) Loss 3.2621 (3.2782) Prec@1 26.953 (24.857) Prec@5 57.031 (52.912) Epoch: [2][200/5809] Time 0.939 (0.511) Data 0.880 (0.440) Loss 3.2756 (3.2784) Prec@1 24.219 (24.885) Prec@5 52.344 (52.956) Epoch: [2][210/5809] Time 1.291 (0.512) Data 1.228 (0.440) Loss 3.2579 (3.2792) Prec@1 24.219 (24.894) Prec@5 53.125 (52.901) Epoch: [2][220/5809] Time 0.296 (0.514) Data 0.236 (0.442) Loss 3.0401 (3.2774) Prec@1 29.297 (24.938) Prec@5 56.250 (52.941) Epoch: [2][230/5809] Time 0.348 (0.513) Data 0.290 (0.441) Loss 2.9488 (3.2766) Prec@1 30.078 (24.924) Prec@5 59.766 (52.959) Epoch: [2][240/5809] Time 0.173 (0.515) Data 0.114 (0.443) Loss 3.3936 (3.2754) Prec@1 21.484 (24.887) Prec@5 50.391 (53.018) Epoch: [2][250/5809] Time 0.133 (0.512) Data 0.064 (0.441) Loss 3.1830 (3.2763) Prec@1 23.047 (24.840) Prec@5 51.562 (52.988) Epoch: [2][260/5809] Time 0.270 (0.514) Data 0.211 (0.442) Loss 3.0596 (3.2793) Prec@1 23.047 (24.756) Prec@5 62.109 (53.001) Epoch: [2][270/5809] Time 0.760 (0.516) Data 0.701 (0.444) Loss 3.4208 (3.2818) Prec@1 25.781 (24.755) Prec@5 53.516 (52.961) Epoch: [2][280/5809] Time 0.340 (0.515) Data 0.280 (0.444) Loss 3.4669 (3.2828) Prec@1 23.438 (24.722) Prec@5 47.656 (52.911) Epoch: [2][290/5809] Time 1.095 (0.520) Data 1.030 (0.449) Loss 3.1748 (3.2824) Prec@1 27.734 (24.737) Prec@5 53.125 (52.917) Epoch: [2][300/5809] Time 0.133 (0.518) Data 0.001 (0.446) Loss 3.1005 (3.2830) Prec@1 26.172 (24.731) Prec@5 57.812 (52.910) Epoch: [2][310/5809] Time 0.898 (0.519) Data 0.839 (0.447) Loss 3.3279 (3.2825) Prec@1 23.047 (24.714) Prec@5 50.781 (52.930) Epoch: [2][320/5809] Time 0.298 (0.517) Data 0.238 (0.445) Loss 3.2738 (3.2813) Prec@1 24.609 (24.725) Prec@5 50.000 (52.964) Epoch: [2][330/5809] Time 0.265 (0.517) Data 0.202 (0.445) Loss 3.3989 (3.2813) Prec@1 26.953 (24.750) Prec@5 52.344 (52.960) Epoch: [2][340/5809] Time 0.133 (0.516) Data 0.001 (0.443) Loss 3.2637 (3.2815) Prec@1 26.562 (24.743) Prec@5 53.906 (52.944) Epoch: [2][350/5809] Time 0.257 (0.517) Data 0.198 (0.444) Loss 3.3446 (3.2821) Prec@1 25.781 (24.732) Prec@5 49.219 (52.916) Epoch: [2][360/5809] Time 0.137 (0.517) Data 0.001 (0.444) Loss 3.2657 (3.2817) Prec@1 22.266 (24.749) Prec@5 54.297 (52.939) Epoch: [2][370/5809] Time 0.160 (0.517) Data 0.101 (0.445) Loss 3.4670 (3.2839) Prec@1 20.703 (24.713) Prec@5 48.047 (52.902) Epoch: [2][380/5809] Time 0.388 (0.515) Data 0.326 (0.443) Loss 3.3524 (3.2839) Prec@1 23.047 (24.701) Prec@5 51.562 (52.876) Epoch: [2][390/5809] Time 0.129 (0.515) Data 0.001 (0.443) Loss 3.2445 (3.2837) Prec@1 25.391 (24.688) Prec@5 55.859 (52.869) Epoch: [2][400/5809] Time 0.914 (0.514) Data 0.855 (0.442) Loss 3.3243 (3.2829) Prec@1 26.172 (24.695) Prec@5 53.125 (52.877) Epoch: [2][410/5809] Time 0.646 (0.515) Data 0.585 (0.443) Loss 3.2113 (3.2831) Prec@1 24.219 (24.660) Prec@5 48.047 (52.862) Epoch: [2][420/5809] Time 0.132 (0.514) Data 0.001 (0.441) Loss 3.2259 (3.2839) Prec@1 23.438 (24.656) Prec@5 57.031 (52.856) Epoch: [2][430/5809] Time 0.641 (0.514) Data 0.574 (0.442) Loss 3.0915 (3.2830) Prec@1 25.000 (24.677) Prec@5 55.469 (52.873) Epoch: [2][440/5809] Time 0.409 (0.513) Data 0.350 (0.440) Loss 3.3054 (3.2823) Prec@1 21.484 (24.694) Prec@5 49.609 (52.895) Epoch: [2][450/5809] Time 0.371 (0.512) Data 0.311 (0.440) Loss 3.3653 (3.2828) Prec@1 25.391 (24.687) Prec@5 52.734 (52.907) Epoch: [2][460/5809] Time 0.259 (0.511) Data 0.200 (0.438) Loss 3.4163 (3.2834) Prec@1 22.656 (24.686) Prec@5 48.828 (52.898) Epoch: [2][470/5809] Time 0.132 (0.511) Data 0.001 (0.439) Loss 3.3623 (3.2851) Prec@1 23.047 (24.652) Prec@5 53.125 (52.864) Epoch: [2][480/5809] Time 0.533 (0.512) Data 0.473 (0.440) Loss 3.3580 (3.2857) Prec@1 25.391 (24.661) Prec@5 54.297 (52.850) Epoch: [2][490/5809] Time 0.973 (0.512) Data 0.914 (0.440) Loss 3.3215 (3.2859) Prec@1 25.000 (24.663) Prec@5 52.344 (52.825) Epoch: [2][500/5809] Time 0.563 (0.512) Data 0.504 (0.440) Loss 3.3485 (3.2851) Prec@1 22.656 (24.659) Prec@5 50.391 (52.837) Epoch: [2][510/5809] Time 0.778 (0.511) Data 0.718 (0.440) Loss 3.3031 (3.2845) Prec@1 24.219 (24.673) Prec@5 55.469 (52.873) Epoch: [2][520/5809] Time 0.512 (0.511) Data 0.452 (0.439) Loss 3.1785 (3.2843) Prec@1 22.266 (24.666) Prec@5 54.688 (52.881) Epoch: [2][530/5809] Time 0.814 (0.510) Data 0.755 (0.439) Loss 3.2096 (3.2834) Prec@1 26.172 (24.662) Prec@5 55.078 (52.873) Epoch: [2][540/5809] Time 0.315 (0.509) Data 0.252 (0.438) Loss 3.4845 (3.2823) Prec@1 20.703 (24.690) Prec@5 50.391 (52.909) Epoch: [2][550/5809] Time 0.737 (0.508) Data 0.679 (0.437) Loss 3.3639 (3.2823) Prec@1 20.312 (24.681) Prec@5 49.219 (52.914) Epoch: [2][560/5809] Time 0.132 (0.507) Data 0.043 (0.436) Loss 3.4148 (3.2819) Prec@1 19.531 (24.676) Prec@5 52.344 (52.922) Epoch: [2][570/5809] Time 0.699 (0.506) Data 0.641 (0.435) Loss 3.2082 (3.2812) Prec@1 24.609 (24.688) Prec@5 58.203 (52.942) Epoch: [2][580/5809] Time 0.132 (0.504) Data 0.044 (0.433) Loss 3.5047 (3.2821) Prec@1 19.531 (24.668) Prec@5 48.047 (52.931) Epoch: [2][590/5809] Time 0.642 (0.503) Data 0.583 (0.432) Loss 3.4602 (3.2821) Prec@1 23.438 (24.673) Prec@5 47.656 (52.915) Epoch: [2][600/5809] Time 0.131 (0.502) Data 0.001 (0.431) Loss 3.1776 (3.2809) Prec@1 26.562 (24.688) Prec@5 60.156 (52.959) Epoch: [2][610/5809] Time 0.624 (0.501) Data 0.565 (0.429) Loss 3.2237 (3.2802) Prec@1 21.875 (24.712) Prec@5 56.641 (52.970) Epoch: [2][620/5809] Time 0.135 (0.499) Data 0.001 (0.427) Loss 3.2544 (3.2801) Prec@1 25.781 (24.724) Prec@5 53.516 (52.975) Epoch: [2][630/5809] Time 1.041 (0.498) Data 0.978 (0.427) Loss 3.2800 (3.2803) Prec@1 25.000 (24.715) Prec@5 51.953 (52.968) Epoch: [2][640/5809] Time 0.165 (0.496) Data 0.102 (0.424) Loss 2.9656 (3.2795) Prec@1 28.906 (24.712) Prec@5 57.422 (52.991) Epoch: [2][650/5809] Time 1.206 (0.496) Data 1.143 (0.424) Loss 3.3763 (3.2786) Prec@1 25.781 (24.726) Prec@5 52.734 (53.003) Epoch: [2][660/5809] Time 0.132 (0.493) Data 0.044 (0.421) Loss 3.1745 (3.2777) Prec@1 25.781 (24.738) Prec@5 56.250 (53.018) Epoch: [2][670/5809] Time 0.979 (0.493) Data 0.919 (0.420) Loss 3.2028 (3.2777) Prec@1 28.516 (24.737) Prec@5 56.250 (53.030) Epoch: [2][680/5809] Time 0.142 (0.491) Data 0.001 (0.418) Loss 3.0485 (3.2774) Prec@1 26.953 (24.732) Prec@5 60.156 (53.049) Epoch: [2][690/5809] Time 1.073 (0.490) Data 1.013 (0.418) Loss 3.1516 (3.2761) Prec@1 23.047 (24.754) Prec@5 56.641 (53.068) Epoch: [2][700/5809] Time 0.134 (0.488) Data 0.046 (0.415) Loss 2.9587 (3.2754) Prec@1 32.812 (24.772) Prec@5 56.250 (53.077) Epoch: [2][710/5809] Time 1.180 (0.488) Data 1.119 (0.415) Loss 3.4506 (3.2759) Prec@1 23.828 (24.764) Prec@5 48.828 (53.068) Epoch: [2][720/5809] Time 0.139 (0.486) Data 0.065 (0.413) Loss 3.0390 (3.2760) Prec@1 30.469 (24.758) Prec@5 59.375 (53.069) Epoch: [2][730/5809] Time 1.084 (0.485) Data 1.020 (0.412) Loss 3.3843 (3.2770) Prec@1 22.656 (24.752) Prec@5 50.391 (53.054) Epoch: [2][740/5809] Time 0.374 (0.483) Data 0.312 (0.410) Loss 3.3604 (3.2777) Prec@1 25.391 (24.738) Prec@5 52.344 (53.038) Epoch: [2][750/5809] Time 0.930 (0.483) Data 0.870 (0.409) Loss 3.3754 (3.2773) Prec@1 21.875 (24.741) Prec@5 51.953 (53.039) Epoch: [2][760/5809] Time 0.380 (0.481) Data 0.320 (0.408) Loss 3.2300 (3.2767) Prec@1 27.734 (24.742) Prec@5 51.172 (53.043) Epoch: [2][770/5809] Time 1.104 (0.480) Data 1.039 (0.407) Loss 3.2641 (3.2763) Prec@1 25.391 (24.748) Prec@5 53.125 (53.050) Epoch: [2][780/5809] Time 0.302 (0.479) Data 0.239 (0.406) Loss 3.3546 (3.2765) Prec@1 24.609 (24.735) Prec@5 51.172 (53.043) Epoch: [2][790/5809] Time 0.890 (0.478) Data 0.831 (0.405) Loss 3.3281 (3.2765) Prec@1 20.312 (24.726) Prec@5 52.734 (53.050) Epoch: [2][800/5809] Time 0.333 (0.477) Data 0.275 (0.404) Loss 2.9938 (3.2753) Prec@1 25.391 (24.745) Prec@5 57.422 (53.067) Epoch: [2][810/5809] Time 0.733 (0.476) Data 0.674 (0.403) Loss 3.3214 (3.2759) Prec@1 17.969 (24.736) Prec@5 50.781 (53.043) Epoch: [2][820/5809] Time 0.207 (0.475) Data 0.143 (0.402) Loss 3.3232 (3.2759) Prec@1 28.516 (24.738) Prec@5 54.688 (53.046) Epoch: [2][830/5809] Time 0.690 (0.475) Data 0.629 (0.401) Loss 3.2952 (3.2761) Prec@1 23.047 (24.748) Prec@5 52.344 (53.049) Epoch: [2][840/5809] Time 0.140 (0.474) Data 0.001 (0.400) Loss 3.3709 (3.2760) Prec@1 20.312 (24.742) Prec@5 51.172 (53.053) Epoch: [2][850/5809] Time 0.915 (0.473) Data 0.855 (0.400) Loss 3.1063 (3.2759) Prec@1 24.609 (24.734) Prec@5 55.859 (53.053) Epoch: [2][860/5809] Time 0.141 (0.472) Data 0.056 (0.399) Loss 3.1685 (3.2759) Prec@1 28.516 (24.729) Prec@5 59.375 (53.048) Epoch: [2][870/5809] Time 1.158 (0.472) Data 1.096 (0.398) Loss 3.1314 (3.2753) Prec@1 27.734 (24.746) Prec@5 55.469 (53.070) Epoch: [2][880/5809] Time 0.133 (0.471) Data 0.001 (0.397) Loss 3.1567 (3.2752) Prec@1 28.516 (24.758) Prec@5 55.078 (53.074) Epoch: [2][890/5809] Time 0.937 (0.471) Data 0.878 (0.397) Loss 3.2499 (3.2745) Prec@1 25.000 (24.769) Prec@5 48.828 (53.080) Epoch: [2][900/5809] Time 0.165 (0.470) Data 0.105 (0.396) Loss 3.2602 (3.2752) Prec@1 22.266 (24.751) Prec@5 52.734 (53.070) Epoch: [2][910/5809] Time 0.673 (0.470) Data 0.612 (0.396) Loss 3.3309 (3.2752) Prec@1 24.609 (24.758) Prec@5 54.297 (53.061) Epoch: [2][920/5809] Time 0.137 (0.469) Data 0.046 (0.396) Loss 3.0921 (3.2747) Prec@1 30.859 (24.770) Prec@5 55.469 (53.061) Epoch: [2][930/5809] Time 0.645 (0.469) Data 0.585 (0.395) Loss 3.2884 (3.2750) Prec@1 27.344 (24.772) Prec@5 53.906 (53.064) Epoch: [2][940/5809] Time 0.316 (0.468) Data 0.256 (0.395) Loss 3.2679 (3.2753) Prec@1 24.609 (24.767) Prec@5 53.125 (53.056) Epoch: [2][950/5809] Time 0.550 (0.468) Data 0.490 (0.394) Loss 3.2940 (3.2745) Prec@1 21.484 (24.777) Prec@5 52.344 (53.076) Epoch: [2][960/5809] Time 0.440 (0.467) Data 0.372 (0.394) Loss 3.2970 (3.2744) Prec@1 23.047 (24.772) Prec@5 50.781 (53.066) Epoch: [2][970/5809] Time 0.742 (0.467) Data 0.678 (0.394) Loss 3.3000 (3.2744) Prec@1 23.438 (24.769) Prec@5 51.953 (53.060) Epoch: [2][980/5809] Time 0.209 (0.467) Data 0.149 (0.394) Loss 3.3669 (3.2748) Prec@1 20.312 (24.765) Prec@5 49.609 (53.052) Epoch: [2][990/5809] Time 0.466 (0.467) Data 0.404 (0.394) Loss 3.2487 (3.2757) Prec@1 23.047 (24.747) Prec@5 54.688 (53.037) Epoch: [2][1000/5809] Time 0.191 (0.466) Data 0.131 (0.393) Loss 3.2970 (3.2757) Prec@1 24.609 (24.739) Prec@5 51.953 (53.041) Epoch: [2][1010/5809] Time 0.631 (0.466) Data 0.572 (0.393) Loss 3.1969 (3.2754) Prec@1 23.828 (24.747) Prec@5 54.688 (53.055) Epoch: [2][1020/5809] Time 0.134 (0.466) Data 0.001 (0.393) Loss 3.4502 (3.2750) Prec@1 22.266 (24.752) Prec@5 50.781 (53.066) Epoch: [2][1030/5809] Time 1.263 (0.466) Data 1.196 (0.393) Loss 3.3499 (3.2757) Prec@1 25.000 (24.746) Prec@5 51.562 (53.064) Epoch: [2][1040/5809] Time 0.127 (0.465) Data 0.050 (0.392) Loss 3.2636 (3.2748) Prec@1 23.828 (24.765) Prec@5 52.344 (53.090) Epoch: [2][1050/5809] Time 1.545 (0.466) Data 1.487 (0.393) Loss 3.1919 (3.2745) Prec@1 26.172 (24.776) Prec@5 51.562 (53.100) Epoch: [2][1060/5809] Time 0.140 (0.465) Data 0.001 (0.392) Loss 3.2932 (3.2748) Prec@1 26.172 (24.772) Prec@5 53.125 (53.089) Epoch: [2][1070/5809] Time 1.122 (0.465) Data 1.057 (0.392) Loss 3.4386 (3.2740) Prec@1 23.828 (24.784) Prec@5 49.219 (53.099) Epoch: [2][1080/5809] Time 0.133 (0.465) Data 0.001 (0.391) Loss 3.0289 (3.2745) Prec@1 29.297 (24.781) Prec@5 57.031 (53.091) Epoch: [2][1090/5809] Time 1.300 (0.465) Data 1.234 (0.391) Loss 3.0988 (3.2742) Prec@1 28.125 (24.776) Prec@5 57.422 (53.091) Epoch: [2][1100/5809] Time 0.133 (0.464) Data 0.001 (0.390) Loss 3.2084 (3.2744) Prec@1 21.484 (24.777) Prec@5 57.031 (53.087) Epoch: [2][1110/5809] Time 0.983 (0.464) Data 0.919 (0.390) Loss 2.9676 (3.2746) Prec@1 27.734 (24.773) Prec@5 59.375 (53.089) Epoch: [2][1120/5809] Time 0.139 (0.464) Data 0.001 (0.389) Loss 3.2723 (3.2743) Prec@1 23.438 (24.780) Prec@5 53.516 (53.091) Epoch: [2][1130/5809] Time 1.679 (0.464) Data 1.621 (0.389) Loss 3.2112 (3.2744) Prec@1 26.172 (24.773) Prec@5 58.594 (53.093) Epoch: [2][1140/5809] Time 0.131 (0.463) Data 0.045 (0.388) Loss 3.1800 (3.2745) Prec@1 24.609 (24.768) Prec@5 56.250 (53.091) Epoch: [2][1150/5809] Time 1.069 (0.463) Data 1.005 (0.388) Loss 3.3275 (3.2747) Prec@1 20.703 (24.764) Prec@5 52.344 (53.084) Epoch: [2][1160/5809] Time 0.139 (0.463) Data 0.001 (0.387) Loss 3.4822 (3.2745) Prec@1 19.922 (24.767) Prec@5 47.656 (53.082) Epoch: [2][1170/5809] Time 1.302 (0.463) Data 1.232 (0.387) Loss 3.2841 (3.2748) Prec@1 23.828 (24.751) Prec@5 53.516 (53.076) Epoch: [2][1180/5809] Time 0.130 (0.462) Data 0.001 (0.386) Loss 3.3722 (3.2749) Prec@1 24.609 (24.748) Prec@5 50.781 (53.072) Epoch: [2][1190/5809] Time 1.165 (0.463) Data 1.092 (0.387) Loss 3.5007 (3.2746) Prec@1 19.141 (24.757) Prec@5 50.781 (53.083) Epoch: [2][1200/5809] Time 0.211 (0.462) Data 0.150 (0.386) Loss 3.2966 (3.2743) Prec@1 26.562 (24.766) Prec@5 48.828 (53.078) Epoch: [2][1210/5809] Time 1.213 (0.462) Data 1.154 (0.386) Loss 3.2654 (3.2744) Prec@1 22.656 (24.765) Prec@5 55.078 (53.067) Epoch: [2][1220/5809] Time 0.133 (0.462) Data 0.001 (0.385) Loss 3.1452 (3.2743) Prec@1 29.688 (24.764) Prec@5 56.250 (53.067) Epoch: [2][1230/5809] Time 1.169 (0.461) Data 1.102 (0.385) Loss 3.2213 (3.2736) Prec@1 25.391 (24.774) Prec@5 52.734 (53.078) Epoch: [2][1240/5809] Time 0.140 (0.461) Data 0.001 (0.383) Loss 3.4604 (3.2737) Prec@1 20.703 (24.768) Prec@5 48.047 (53.071) Epoch: [2][1250/5809] Time 1.302 (0.461) Data 1.239 (0.383) Loss 3.1966 (3.2728) Prec@1 25.391 (24.789) Prec@5 52.344 (53.088) Epoch: [2][1260/5809] Time 0.231 (0.460) Data 0.163 (0.383) Loss 3.1694 (3.2724) Prec@1 33.594 (24.809) Prec@5 57.422 (53.100) Epoch: [2][1270/5809] Time 1.133 (0.460) Data 1.068 (0.383) Loss 3.2361 (3.2718) Prec@1 25.781 (24.821) Prec@5 56.250 (53.113) Epoch: [2][1280/5809] Time 0.133 (0.460) Data 0.001 (0.382) Loss 3.0257 (3.2714) Prec@1 27.344 (24.822) Prec@5 59.766 (53.124) Epoch: [2][1290/5809] Time 1.215 (0.459) Data 1.156 (0.382) Loss 3.3331 (3.2709) Prec@1 23.047 (24.831) Prec@5 51.562 (53.126) Epoch: [2][1300/5809] Time 0.133 (0.459) Data 0.001 (0.381) Loss 3.2507 (3.2709) Prec@1 24.219 (24.831) Prec@5 55.469 (53.127) Epoch: [2][1310/5809] Time 1.173 (0.459) Data 1.113 (0.380) Loss 3.3213 (3.2711) Prec@1 26.953 (24.834) Prec@5 50.781 (53.120) Epoch: [2][1320/5809] Time 0.140 (0.458) Data 0.001 (0.379) Loss 3.0124 (3.2703) Prec@1 28.516 (24.845) Prec@5 61.328 (53.141) Epoch: [2][1330/5809] Time 1.145 (0.458) Data 1.080 (0.379) Loss 3.3820 (3.2703) Prec@1 23.047 (24.838) Prec@5 54.688 (53.144) Epoch: [2][1340/5809] Time 0.134 (0.457) Data 0.001 (0.379) Loss 3.3514 (3.2702) Prec@1 25.000 (24.841) Prec@5 52.344 (53.145) Epoch: [2][1350/5809] Time 1.233 (0.457) Data 1.174 (0.378) Loss 3.3105 (3.2704) Prec@1 23.047 (24.832) Prec@5 53.125 (53.145) Epoch: [2][1360/5809] Time 0.131 (0.456) Data 0.050 (0.378) Loss 3.1077 (3.2697) Prec@1 27.734 (24.843) Prec@5 58.594 (53.162) Epoch: [2][1370/5809] Time 1.104 (0.456) Data 1.045 (0.378) Loss 3.3059 (3.2701) Prec@1 24.609 (24.837) Prec@5 52.344 (53.161) Epoch: [2][1380/5809] Time 0.262 (0.456) Data 0.198 (0.377) Loss 3.0765 (3.2697) Prec@1 30.078 (24.850) Prec@5 54.688 (53.165) Epoch: [2][1390/5809] Time 1.023 (0.456) Data 0.956 (0.377) Loss 3.3368 (3.2694) Prec@1 24.609 (24.852) Prec@5 50.781 (53.166) Epoch: [2][1400/5809] Time 0.313 (0.455) Data 0.253 (0.377) Loss 3.4580 (3.2698) Prec@1 23.047 (24.851) Prec@5 50.781 (53.159) Epoch: [2][1410/5809] Time 0.742 (0.455) Data 0.683 (0.377) Loss 3.1004 (3.2697) Prec@1 27.734 (24.853) Prec@5 55.469 (53.160) Epoch: [2][1420/5809] Time 0.134 (0.454) Data 0.001 (0.376) Loss 3.0360 (3.2692) Prec@1 28.125 (24.860) Prec@5 59.375 (53.178) Epoch: [2][1430/5809] Time 0.768 (0.455) Data 0.702 (0.376) Loss 3.3790 (3.2693) Prec@1 20.703 (24.852) Prec@5 51.172 (53.169) Epoch: [2][1440/5809] Time 0.135 (0.454) Data 0.075 (0.375) Loss 3.1350 (3.2691) Prec@1 26.562 (24.857) Prec@5 54.688 (53.172) Epoch: [2][1450/5809] Time 0.532 (0.454) Data 0.466 (0.375) Loss 3.1502 (3.2688) Prec@1 26.172 (24.864) Prec@5 54.688 (53.178) Epoch: [2][1460/5809] Time 0.134 (0.454) Data 0.001 (0.375) Loss 3.2929 (3.2687) Prec@1 29.297 (24.871) Prec@5 50.781 (53.177) Epoch: [2][1470/5809] Time 0.594 (0.454) Data 0.534 (0.375) Loss 3.4262 (3.2685) Prec@1 22.656 (24.876) Prec@5 44.531 (53.169) Epoch: [2][1480/5809] Time 0.619 (0.453) Data 0.560 (0.375) Loss 3.2665 (3.2684) Prec@1 26.953 (24.879) Prec@5 51.953 (53.171) Epoch: [2][1490/5809] Time 0.368 (0.453) Data 0.305 (0.375) Loss 3.1775 (3.2686) Prec@1 26.562 (24.883) Prec@5 53.125 (53.173) Epoch: [2][1500/5809] Time 0.740 (0.453) Data 0.677 (0.375) Loss 3.3546 (3.2690) Prec@1 25.000 (24.874) Prec@5 50.781 (53.160) Epoch: [2][1510/5809] Time 0.144 (0.452) Data 0.085 (0.374) Loss 3.3136 (3.2687) Prec@1 23.828 (24.872) Prec@5 46.875 (53.158) Epoch: [2][1520/5809] Time 0.589 (0.452) Data 0.522 (0.375) Loss 3.1535 (3.2683) Prec@1 25.391 (24.878) Prec@5 55.859 (53.163) Epoch: [2][1530/5809] Time 0.134 (0.452) Data 0.001 (0.374) Loss 3.0760 (3.2676) Prec@1 23.438 (24.891) Prec@5 57.422 (53.180) Epoch: [2][1540/5809] Time 0.824 (0.452) Data 0.765 (0.374) Loss 3.2640 (3.2670) Prec@1 25.781 (24.904) Prec@5 51.172 (53.188) Epoch: [2][1550/5809] Time 0.133 (0.451) Data 0.060 (0.374) Loss 3.0136 (3.2669) Prec@1 32.031 (24.914) Prec@5 59.375 (53.194) Epoch: [2][1560/5809] Time 1.020 (0.451) Data 0.961 (0.374) Loss 3.3709 (3.2667) Prec@1 22.266 (24.917) Prec@5 47.266 (53.192) Epoch: [2][1570/5809] Time 0.330 (0.451) Data 0.271 (0.373) Loss 3.1889 (3.2665) Prec@1 30.469 (24.931) Prec@5 54.688 (53.205) Epoch: [2][1580/5809] Time 0.840 (0.451) Data 0.777 (0.374) Loss 3.2639 (3.2660) Prec@1 23.438 (24.943) Prec@5 53.125 (53.212) Epoch: [2][1590/5809] Time 0.338 (0.451) Data 0.279 (0.373) Loss 3.0928 (3.2659) Prec@1 30.078 (24.947) Prec@5 54.688 (53.219) Epoch: [2][1600/5809] Time 0.755 (0.450) Data 0.688 (0.373) Loss 3.0742 (3.2654) Prec@1 25.781 (24.955) Prec@5 58.984 (53.223) Epoch: [2][1610/5809] Time 0.390 (0.450) Data 0.331 (0.373) Loss 3.2398 (3.2647) Prec@1 23.828 (24.963) Prec@5 55.469 (53.237) Epoch: [2][1620/5809] Time 0.791 (0.450) Data 0.731 (0.373) Loss 3.3946 (3.2652) Prec@1 21.875 (24.957) Prec@5 50.000 (53.225) Epoch: [2][1630/5809] Time 0.538 (0.450) Data 0.479 (0.372) Loss 3.4867 (3.2651) Prec@1 22.656 (24.960) Prec@5 48.828 (53.230) Epoch: [2][1640/5809] Time 0.483 (0.449) Data 0.419 (0.372) Loss 3.1266 (3.2652) Prec@1 26.562 (24.954) Prec@5 56.250 (53.225) Epoch: [2][1650/5809] Time 0.694 (0.449) Data 0.635 (0.373) Loss 3.4067 (3.2648) Prec@1 25.391 (24.966) Prec@5 48.828 (53.235) Epoch: [2][1660/5809] Time 0.688 (0.449) Data 0.628 (0.372) Loss 3.2514 (3.2644) Prec@1 25.781 (24.979) Prec@5 53.125 (53.242) Epoch: [2][1670/5809] Time 0.616 (0.449) Data 0.556 (0.372) Loss 3.5321 (3.2637) Prec@1 19.531 (24.996) Prec@5 47.656 (53.259) Epoch: [2][1680/5809] Time 0.419 (0.449) Data 0.353 (0.372) Loss 3.4433 (3.2636) Prec@1 21.094 (24.996) Prec@5 51.953 (53.261) Epoch: [2][1690/5809] Time 0.811 (0.449) Data 0.752 (0.372) Loss 3.3970 (3.2637) Prec@1 24.219 (24.995) Prec@5 49.609 (53.255) Epoch: [2][1700/5809] Time 0.723 (0.449) Data 0.662 (0.372) Loss 3.3027 (3.2633) Prec@1 26.953 (25.003) Prec@5 51.172 (53.261) Epoch: [2][1710/5809] Time 0.291 (0.448) Data 0.231 (0.371) Loss 3.2680 (3.2629) Prec@1 26.562 (25.007) Prec@5 54.297 (53.270) Epoch: [2][1720/5809] Time 1.011 (0.448) Data 0.949 (0.372) Loss 3.2762 (3.2623) Prec@1 25.391 (25.016) Prec@5 51.953 (53.288) Epoch: [2][1730/5809] Time 0.133 (0.448) Data 0.043 (0.371) Loss 3.2936 (3.2621) Prec@1 24.609 (25.026) Prec@5 54.297 (53.287) Epoch: [2][1740/5809] Time 0.864 (0.448) Data 0.803 (0.371) Loss 3.1921 (3.2620) Prec@1 27.734 (25.018) Prec@5 54.688 (53.291) Epoch: [2][1750/5809] Time 0.131 (0.448) Data 0.001 (0.371) Loss 3.2254 (3.2616) Prec@1 25.391 (25.023) Prec@5 53.906 (53.302) Epoch: [2][1760/5809] Time 1.091 (0.448) Data 1.033 (0.371) Loss 3.2901 (3.2606) Prec@1 21.875 (25.040) Prec@5 53.125 (53.320) Epoch: [2][1770/5809] Time 0.134 (0.448) Data 0.001 (0.371) Loss 3.2358 (3.2606) Prec@1 25.391 (25.038) Prec@5 53.516 (53.328) Epoch: [2][1780/5809] Time 0.642 (0.448) Data 0.584 (0.371) Loss 3.1080 (3.2604) Prec@1 30.078 (25.046) Prec@5 55.859 (53.334) Epoch: [2][1790/5809] Time 0.133 (0.447) Data 0.001 (0.370) Loss 3.4281 (3.2603) Prec@1 20.312 (25.047) Prec@5 51.953 (53.338) Epoch: [2][1800/5809] Time 1.023 (0.447) Data 0.963 (0.370) Loss 3.3949 (3.2606) Prec@1 23.438 (25.042) Prec@5 51.953 (53.329) Epoch: [2][1810/5809] Time 0.355 (0.447) Data 0.297 (0.370) Loss 3.1994 (3.2608) Prec@1 28.125 (25.041) Prec@5 53.516 (53.323) Epoch: [2][1820/5809] Time 0.651 (0.447) Data 0.593 (0.370) Loss 3.3638 (3.2610) Prec@1 26.172 (25.043) Prec@5 51.172 (53.324) Epoch: [2][1830/5809] Time 0.135 (0.446) Data 0.072 (0.370) Loss 3.1547 (3.2606) Prec@1 23.438 (25.047) Prec@5 57.031 (53.336) Epoch: [2][1840/5809] Time 0.719 (0.446) Data 0.660 (0.370) Loss 3.2273 (3.2607) Prec@1 26.172 (25.053) Prec@5 51.953 (53.331) Epoch: [2][1850/5809] Time 0.345 (0.446) Data 0.278 (0.370) Loss 3.1531 (3.2609) Prec@1 26.172 (25.052) Prec@5 56.250 (53.325) Epoch: [2][1860/5809] Time 0.928 (0.446) Data 0.864 (0.369) Loss 3.1132 (3.2605) Prec@1 28.125 (25.059) Prec@5 57.812 (53.330) Epoch: [2][1870/5809] Time 0.495 (0.446) Data 0.435 (0.369) Loss 3.4497 (3.2603) Prec@1 24.609 (25.063) Prec@5 48.047 (53.334) Epoch: [2][1880/5809] Time 0.438 (0.445) Data 0.380 (0.369) Loss 3.2226 (3.2605) Prec@1 24.219 (25.062) Prec@5 54.297 (53.327) Epoch: [2][1890/5809] Time 0.134 (0.445) Data 0.001 (0.369) Loss 3.1223 (3.2601) Prec@1 27.734 (25.065) Prec@5 57.422 (53.341) Epoch: [2][1900/5809] Time 0.134 (0.445) Data 0.001 (0.369) Loss 3.2120 (3.2602) Prec@1 25.781 (25.065) Prec@5 55.859 (53.341) Epoch: [2][1910/5809] Time 0.192 (0.445) Data 0.133 (0.368) Loss 3.0750 (3.2599) Prec@1 27.344 (25.068) Prec@5 54.297 (53.342) Epoch: [2][1920/5809] Time 0.303 (0.445) Data 0.243 (0.368) Loss 3.2175 (3.2597) Prec@1 28.516 (25.071) Prec@5 56.250 (53.350) Epoch: [2][1930/5809] Time 0.256 (0.444) Data 0.197 (0.368) Loss 3.2999 (3.2597) Prec@1 25.000 (25.069) Prec@5 53.516 (53.353) Epoch: [2][1940/5809] Time 0.978 (0.445) Data 0.919 (0.368) Loss 2.8939 (3.2593) Prec@1 33.203 (25.079) Prec@5 59.766 (53.362) Epoch: [2][1950/5809] Time 0.223 (0.444) Data 0.165 (0.368) Loss 2.9967 (3.2592) Prec@1 29.688 (25.081) Prec@5 58.203 (53.365) Epoch: [2][1960/5809] Time 0.880 (0.444) Data 0.814 (0.368) Loss 3.0394 (3.2590) Prec@1 26.172 (25.087) Prec@5 56.250 (53.366) Epoch: [2][1970/5809] Time 0.133 (0.444) Data 0.044 (0.367) Loss 3.3735 (3.2593) Prec@1 26.172 (25.085) Prec@5 51.172 (53.359) Epoch: [2][1980/5809] Time 0.953 (0.444) Data 0.891 (0.367) Loss 3.2557 (3.2591) Prec@1 28.125 (25.086) Prec@5 55.469 (53.363) Epoch: [2][1990/5809] Time 0.133 (0.443) Data 0.001 (0.367) Loss 3.2153 (3.2589) Prec@1 26.953 (25.091) Prec@5 55.859 (53.374) Epoch: [2][2000/5809] Time 1.117 (0.443) Data 1.058 (0.367) Loss 3.1321 (3.2583) Prec@1 28.125 (25.096) Prec@5 56.250 (53.389) Epoch: [2][2010/5809] Time 0.141 (0.443) Data 0.001 (0.367) Loss 3.2665 (3.2579) Prec@1 25.000 (25.105) Prec@5 52.734 (53.399) Epoch: [2][2020/5809] Time 1.143 (0.443) Data 1.078 (0.367) Loss 3.1188 (3.2578) Prec@1 25.000 (25.107) Prec@5 60.547 (53.404) Epoch: [2][2030/5809] Time 0.547 (0.443) Data 0.486 (0.366) Loss 3.0237 (3.2575) Prec@1 28.906 (25.114) Prec@5 63.672 (53.420) Epoch: [2][2040/5809] Time 0.478 (0.442) Data 0.420 (0.366) Loss 3.2316 (3.2573) Prec@1 27.734 (25.112) Prec@5 53.125 (53.419) Epoch: [2][2050/5809] Time 0.497 (0.442) Data 0.423 (0.366) Loss 3.1200 (3.2569) Prec@1 26.562 (25.112) Prec@5 55.469 (53.428) Epoch: [2][2060/5809] Time 0.622 (0.442) Data 0.563 (0.366) Loss 3.0617 (3.2567) Prec@1 28.125 (25.116) Prec@5 53.906 (53.434) Epoch: [2][2070/5809] Time 0.764 (0.442) Data 0.705 (0.366) Loss 3.1112 (3.2559) Prec@1 27.344 (25.124) Prec@5 58.203 (53.454) Epoch: [2][2080/5809] Time 0.524 (0.442) Data 0.458 (0.365) Loss 3.4318 (3.2556) Prec@1 21.875 (25.132) Prec@5 55.078 (53.459) Epoch: [2][2090/5809] Time 0.637 (0.442) Data 0.567 (0.365) Loss 3.1141 (3.2554) Prec@1 27.734 (25.140) Prec@5 57.422 (53.464) Epoch: [2][2100/5809] Time 0.584 (0.441) Data 0.526 (0.365) Loss 3.3355 (3.2554) Prec@1 21.094 (25.138) Prec@5 52.734 (53.467) Epoch: [2][2110/5809] Time 0.501 (0.441) Data 0.443 (0.365) Loss 3.2399 (3.2552) Prec@1 26.562 (25.141) Prec@5 55.078 (53.469) Epoch: [2][2120/5809] Time 0.729 (0.441) Data 0.664 (0.365) Loss 3.3899 (3.2548) Prec@1 20.312 (25.142) Prec@5 48.828 (53.475) Epoch: [2][2130/5809] Time 0.139 (0.441) Data 0.079 (0.365) Loss 3.2383 (3.2551) Prec@1 28.906 (25.145) Prec@5 51.562 (53.473) Epoch: [2][2140/5809] Time 0.828 (0.441) Data 0.762 (0.365) Loss 3.2411 (3.2548) Prec@1 23.828 (25.151) Prec@5 55.469 (53.482) Epoch: [2][2150/5809] Time 0.409 (0.441) Data 0.349 (0.365) Loss 3.1885 (3.2547) Prec@1 26.953 (25.152) Prec@5 56.250 (53.483) Epoch: [2][2160/5809] Time 0.603 (0.441) Data 0.543 (0.365) Loss 3.1498 (3.2546) Prec@1 25.781 (25.154) Prec@5 56.641 (53.486) Epoch: [2][2170/5809] Time 0.478 (0.440) Data 0.420 (0.364) Loss 3.3373 (3.2544) Prec@1 26.562 (25.158) Prec@5 53.125 (53.492) Epoch: [2][2180/5809] Time 0.759 (0.440) Data 0.700 (0.364) Loss 3.2717 (3.2541) Prec@1 28.125 (25.161) Prec@5 50.391 (53.491) Epoch: [2][2190/5809] Time 0.449 (0.440) Data 0.390 (0.364) Loss 3.2104 (3.2536) Prec@1 26.953 (25.165) Prec@5 53.516 (53.501) Epoch: [2][2200/5809] Time 0.400 (0.440) Data 0.341 (0.364) Loss 3.1925 (3.2532) Prec@1 26.172 (25.173) Prec@5 57.812 (53.510) Epoch: [2][2210/5809] Time 0.620 (0.440) Data 0.556 (0.364) Loss 3.1892 (3.2529) Prec@1 26.562 (25.180) Prec@5 55.078 (53.517) Epoch: [2][2220/5809] Time 0.612 (0.440) Data 0.554 (0.364) Loss 3.2559 (3.2529) Prec@1 24.219 (25.179) Prec@5 54.688 (53.517) Epoch: [2][2230/5809] Time 0.321 (0.440) Data 0.261 (0.364) Loss 3.3357 (3.2530) Prec@1 25.781 (25.177) Prec@5 49.609 (53.516) Epoch: [2][2240/5809] Time 0.852 (0.440) Data 0.791 (0.364) Loss 3.3727 (3.2526) Prec@1 21.875 (25.180) Prec@5 53.125 (53.522) Epoch: [2][2250/5809] Time 0.540 (0.440) Data 0.480 (0.364) Loss 3.4176 (3.2524) Prec@1 21.094 (25.180) Prec@5 51.953 (53.523) Epoch: [2][2260/5809] Time 0.708 (0.440) Data 0.647 (0.364) Loss 3.2271 (3.2519) Prec@1 27.344 (25.188) Prec@5 54.297 (53.533) Epoch: [2][2270/5809] Time 0.392 (0.440) Data 0.329 (0.364) Loss 3.0361 (3.2515) Prec@1 23.828 (25.194) Prec@5 57.422 (53.539) Epoch: [2][2280/5809] Time 0.134 (0.440) Data 0.001 (0.364) Loss 3.2563 (3.2513) Prec@1 24.219 (25.200) Prec@5 54.688 (53.540) Epoch: [2][2290/5809] Time 0.653 (0.440) Data 0.594 (0.364) Loss 3.0604 (3.2507) Prec@1 26.953 (25.210) Prec@5 56.250 (53.552) Epoch: [2][2300/5809] Time 0.347 (0.440) Data 0.288 (0.364) Loss 3.3100 (3.2503) Prec@1 25.391 (25.216) Prec@5 53.906 (53.563) Epoch: [2][2310/5809] Time 0.575 (0.440) Data 0.516 (0.365) Loss 3.1472 (3.2502) Prec@1 26.562 (25.212) Prec@5 57.422 (53.569) Epoch: [2][2320/5809] Time 0.732 (0.440) Data 0.672 (0.365) Loss 3.2893 (3.2502) Prec@1 28.906 (25.218) Prec@5 53.516 (53.573) Epoch: [2][2330/5809] Time 0.537 (0.440) Data 0.473 (0.365) Loss 3.2168 (3.2502) Prec@1 29.297 (25.223) Prec@5 56.250 (53.570) Epoch: [2][2340/5809] Time 0.945 (0.440) Data 0.886 (0.365) Loss 3.2219 (3.2503) Prec@1 25.781 (25.225) Prec@5 55.078 (53.572) Epoch: [2][2350/5809] Time 0.132 (0.440) Data 0.048 (0.365) Loss 3.2632 (3.2503) Prec@1 26.953 (25.224) Prec@5 47.266 (53.567) Epoch: [2][2360/5809] Time 0.659 (0.441) Data 0.599 (0.365) Loss 3.4656 (3.2504) Prec@1 23.047 (25.229) Prec@5 49.609 (53.562) Epoch: [2][2370/5809] Time 0.219 (0.440) Data 0.159 (0.365) Loss 3.0244 (3.2504) Prec@1 29.297 (25.227) Prec@5 59.766 (53.565) Epoch: [2][2380/5809] Time 0.143 (0.441) Data 0.007 (0.366) Loss 3.3825 (3.2503) Prec@1 25.781 (25.234) Prec@5 50.000 (53.568) Epoch: [2][2390/5809] Time 0.416 (0.441) Data 0.358 (0.365) Loss 3.2851 (3.2501) Prec@1 27.344 (25.234) Prec@5 53.125 (53.570) Epoch: [2][2400/5809] Time 0.381 (0.441) Data 0.309 (0.366) Loss 3.2162 (3.2500) Prec@1 26.172 (25.241) Prec@5 53.516 (53.570) Epoch: [2][2410/5809] Time 0.128 (0.441) Data 0.048 (0.366) Loss 3.1366 (3.2499) Prec@1 28.125 (25.246) Prec@5 56.250 (53.574) Epoch: [2][2420/5809] Time 0.134 (0.441) Data 0.001 (0.366) Loss 2.9798 (3.2495) Prec@1 28.906 (25.255) Prec@5 62.109 (53.588) Epoch: [2][2430/5809] Time 0.133 (0.441) Data 0.001 (0.366) Loss 3.2266 (3.2492) Prec@1 25.391 (25.258) Prec@5 52.344 (53.596) Epoch: [2][2440/5809] Time 0.185 (0.441) Data 0.126 (0.366) Loss 2.9814 (3.2489) Prec@1 30.859 (25.263) Prec@5 57.812 (53.606) Epoch: [2][2450/5809] Time 0.578 (0.441) Data 0.519 (0.366) Loss 3.2273 (3.2486) Prec@1 24.609 (25.265) Prec@5 53.516 (53.613) Epoch: [2][2460/5809] Time 0.150 (0.441) Data 0.091 (0.366) Loss 3.3853 (3.2488) Prec@1 23.047 (25.262) Prec@5 49.609 (53.610) Epoch: [2][2470/5809] Time 0.524 (0.441) Data 0.465 (0.366) Loss 3.2130 (3.2487) Prec@1 26.172 (25.260) Prec@5 53.516 (53.610) Epoch: [2][2480/5809] Time 0.337 (0.442) Data 0.276 (0.367) Loss 3.2740 (3.2486) Prec@1 25.781 (25.261) Prec@5 57.812 (53.612) Epoch: [2][2490/5809] Time 0.909 (0.442) Data 0.845 (0.367) Loss 3.3048 (3.2486) Prec@1 25.000 (25.258) Prec@5 52.344 (53.612) Epoch: [2][2500/5809] Time 0.286 (0.442) Data 0.226 (0.367) Loss 3.2209 (3.2482) Prec@1 21.094 (25.260) Prec@5 58.203 (53.624) Epoch: [2][2510/5809] Time 0.998 (0.442) Data 0.934 (0.367) Loss 3.0724 (3.2482) Prec@1 28.125 (25.256) Prec@5 59.375 (53.627) Epoch: [2][2520/5809] Time 0.589 (0.442) Data 0.526 (0.367) Loss 3.1564 (3.2480) Prec@1 26.953 (25.261) Prec@5 52.734 (53.630) Epoch: [2][2530/5809] Time 0.666 (0.442) Data 0.600 (0.367) Loss 3.2420 (3.2478) Prec@1 26.953 (25.266) Prec@5 55.469 (53.634) Epoch: [2][2540/5809] Time 0.724 (0.442) Data 0.665 (0.367) Loss 3.1206 (3.2473) Prec@1 29.297 (25.273) Prec@5 54.688 (53.646) Epoch: [2][2550/5809] Time 0.918 (0.442) Data 0.852 (0.367) Loss 3.1615 (3.2471) Prec@1 24.609 (25.273) Prec@5 54.297 (53.647) Epoch: [2][2560/5809] Time 0.911 (0.443) Data 0.853 (0.368) Loss 3.2832 (3.2469) Prec@1 28.516 (25.278) Prec@5 58.984 (53.658) Epoch: [2][2570/5809] Time 1.176 (0.443) Data 1.112 (0.368) Loss 3.2459 (3.2466) Prec@1 30.859 (25.286) Prec@5 56.250 (53.664) Epoch: [2][2580/5809] Time 0.206 (0.443) Data 0.145 (0.368) Loss 3.2193 (3.2463) Prec@1 28.125 (25.287) Prec@5 55.859 (53.669) Epoch: [2][2590/5809] Time 0.739 (0.443) Data 0.681 (0.368) Loss 3.0617 (3.2460) Prec@1 27.734 (25.290) Prec@5 57.812 (53.674) Epoch: [2][2600/5809] Time 0.231 (0.443) Data 0.167 (0.368) Loss 3.1381 (3.2459) Prec@1 28.125 (25.295) Prec@5 56.641 (53.677) Epoch: [2][2610/5809] Time 1.134 (0.443) Data 1.067 (0.368) Loss 3.1557 (3.2456) Prec@1 23.828 (25.297) Prec@5 57.422 (53.684) Epoch: [2][2620/5809] Time 0.419 (0.443) Data 0.354 (0.368) Loss 3.1480 (3.2453) Prec@1 29.297 (25.299) Prec@5 56.641 (53.691) Epoch: [2][2630/5809] Time 1.063 (0.443) Data 1.004 (0.368) Loss 3.2696 (3.2452) Prec@1 21.484 (25.303) Prec@5 55.078 (53.691) Epoch: [2][2640/5809] Time 0.278 (0.443) Data 0.217 (0.368) Loss 3.1861 (3.2452) Prec@1 27.734 (25.302) Prec@5 60.156 (53.692) Epoch: [2][2650/5809] Time 0.628 (0.443) Data 0.565 (0.368) Loss 3.1874 (3.2450) Prec@1 28.125 (25.307) Prec@5 58.594 (53.698) Epoch: [2][2660/5809] Time 0.749 (0.443) Data 0.691 (0.368) Loss 2.9509 (3.2449) Prec@1 31.641 (25.316) Prec@5 60.547 (53.702) Epoch: [2][2670/5809] Time 0.761 (0.443) Data 0.702 (0.368) Loss 3.0450 (3.2447) Prec@1 29.297 (25.323) Prec@5 56.641 (53.707) Epoch: [2][2680/5809] Time 0.423 (0.443) Data 0.363 (0.368) Loss 3.1312 (3.2443) Prec@1 29.688 (25.331) Prec@5 56.641 (53.716) Epoch: [2][2690/5809] Time 0.706 (0.443) Data 0.645 (0.368) Loss 3.2580 (3.2441) Prec@1 28.516 (25.334) Prec@5 53.125 (53.720) Epoch: [2][2700/5809] Time 0.172 (0.442) Data 0.114 (0.368) Loss 3.3026 (3.2439) Prec@1 23.438 (25.334) Prec@5 51.562 (53.722) Epoch: [2][2710/5809] Time 0.498 (0.443) Data 0.439 (0.368) Loss 3.2759 (3.2436) Prec@1 26.172 (25.339) Prec@5 53.125 (53.727) Epoch: [2][2720/5809] Time 0.740 (0.443) Data 0.680 (0.369) Loss 3.0528 (3.2434) Prec@1 28.906 (25.338) Prec@5 59.766 (53.734) Epoch: [2][2730/5809] Time 0.284 (0.443) Data 0.217 (0.369) Loss 3.2179 (3.2435) Prec@1 25.781 (25.339) Prec@5 52.734 (53.733) Epoch: [2][2740/5809] Time 0.810 (0.443) Data 0.747 (0.369) Loss 3.2874 (3.2432) Prec@1 24.219 (25.341) Prec@5 54.297 (53.737) Epoch: [2][2750/5809] Time 0.134 (0.443) Data 0.001 (0.369) Loss 3.1886 (3.2433) Prec@1 23.828 (25.337) Prec@5 57.422 (53.737) Epoch: [2][2760/5809] Time 0.711 (0.444) Data 0.648 (0.369) Loss 3.0855 (3.2429) Prec@1 25.781 (25.343) Prec@5 57.812 (53.742) Epoch: [2][2770/5809] Time 0.343 (0.444) Data 0.283 (0.369) Loss 3.1483 (3.2428) Prec@1 23.828 (25.346) Prec@5 58.203 (53.748) Epoch: [2][2780/5809] Time 0.950 (0.444) Data 0.891 (0.369) Loss 3.1329 (3.2428) Prec@1 27.734 (25.348) Prec@5 57.031 (53.750) Epoch: [2][2790/5809] Time 0.125 (0.444) Data 0.047 (0.369) Loss 3.2276 (3.2427) Prec@1 28.125 (25.350) Prec@5 54.297 (53.749) Epoch: [2][2800/5809] Time 1.160 (0.444) Data 1.100 (0.369) Loss 3.2855 (3.2424) Prec@1 20.703 (25.354) Prec@5 53.125 (53.756) Epoch: [2][2810/5809] Time 0.713 (0.444) Data 0.654 (0.369) Loss 3.3032 (3.2424) Prec@1 25.781 (25.352) Prec@5 53.125 (53.757) Epoch: [2][2820/5809] Time 1.059 (0.444) Data 0.999 (0.369) Loss 3.0475 (3.2422) Prec@1 26.562 (25.352) Prec@5 58.594 (53.762) Epoch: [2][2830/5809] Time 0.216 (0.444) Data 0.153 (0.369) Loss 3.1310 (3.2419) Prec@1 28.516 (25.355) Prec@5 57.812 (53.766) Epoch: [2][2840/5809] Time 0.810 (0.444) Data 0.751 (0.369) Loss 3.3837 (3.2417) Prec@1 19.922 (25.355) Prec@5 49.219 (53.769) Epoch: [2][2850/5809] Time 0.140 (0.444) Data 0.058 (0.369) Loss 3.2796 (3.2416) Prec@1 24.219 (25.354) Prec@5 53.906 (53.770) Epoch: [2][2860/5809] Time 0.995 (0.444) Data 0.937 (0.370) Loss 3.2699 (3.2414) Prec@1 25.000 (25.356) Prec@5 53.906 (53.776) Epoch: [2][2870/5809] Time 0.983 (0.445) Data 0.918 (0.370) Loss 3.1967 (3.2414) Prec@1 26.562 (25.359) Prec@5 52.734 (53.775) Epoch: [2][2880/5809] Time 0.133 (0.445) Data 0.050 (0.370) Loss 3.2037 (3.2412) Prec@1 25.781 (25.361) Prec@5 54.297 (53.779) Epoch: [2][2890/5809] Time 0.550 (0.445) Data 0.488 (0.371) Loss 3.2217 (3.2410) Prec@1 24.609 (25.367) Prec@5 56.250 (53.787) Epoch: [2][2900/5809] Time 0.156 (0.445) Data 0.097 (0.370) Loss 3.2211 (3.2409) Prec@1 25.391 (25.369) Prec@5 53.125 (53.791) Epoch: [2][2910/5809] Time 0.388 (0.445) Data 0.328 (0.371) Loss 3.2310 (3.2406) Prec@1 26.562 (25.377) Prec@5 56.641 (53.797) Epoch: [2][2920/5809] Time 0.306 (0.445) Data 0.243 (0.371) Loss 3.2786 (3.2404) Prec@1 25.781 (25.381) Prec@5 53.125 (53.798) Epoch: [2][2930/5809] Time 0.981 (0.446) Data 0.923 (0.371) Loss 3.1271 (3.2402) Prec@1 26.953 (25.385) Prec@5 55.859 (53.804) Epoch: [2][2940/5809] Time 0.573 (0.446) Data 0.508 (0.371) Loss 3.1395 (3.2403) Prec@1 25.781 (25.387) Prec@5 50.391 (53.797) Epoch: [2][2950/5809] Time 0.727 (0.446) Data 0.663 (0.371) Loss 3.2278 (3.2400) Prec@1 26.172 (25.392) Prec@5 55.859 (53.803) Epoch: [2][2960/5809] Time 0.302 (0.446) Data 0.240 (0.371) Loss 3.1612 (3.2398) Prec@1 23.438 (25.396) Prec@5 57.031 (53.809) Epoch: [2][2970/5809] Time 0.466 (0.446) Data 0.407 (0.371) Loss 3.3134 (3.2398) Prec@1 22.656 (25.398) Prec@5 54.297 (53.807) Epoch: [2][2980/5809] Time 0.247 (0.446) Data 0.188 (0.372) Loss 3.1126 (3.2398) Prec@1 30.859 (25.399) Prec@5 59.766 (53.807) Epoch: [2][2990/5809] Time 0.621 (0.446) Data 0.562 (0.372) Loss 3.0907 (3.2396) Prec@1 29.297 (25.403) Prec@5 60.547 (53.814) Epoch: [2][3000/5809] Time 0.988 (0.446) Data 0.924 (0.372) Loss 3.1269 (3.2396) Prec@1 28.125 (25.401) Prec@5 57.812 (53.813) Epoch: [2][3010/5809] Time 0.125 (0.446) Data 0.045 (0.372) Loss 3.0516 (3.2395) Prec@1 27.734 (25.402) Prec@5 56.250 (53.813) Epoch: [2][3020/5809] Time 0.991 (0.447) Data 0.933 (0.372) Loss 3.4215 (3.2396) Prec@1 21.094 (25.404) Prec@5 48.047 (53.812) Epoch: [2][3030/5809] Time 0.445 (0.447) Data 0.386 (0.372) Loss 3.3600 (3.2394) Prec@1 23.828 (25.411) Prec@5 51.562 (53.818) Epoch: [2][3040/5809] Time 0.412 (0.447) Data 0.352 (0.372) Loss 3.0616 (3.2389) Prec@1 27.734 (25.418) Prec@5 56.641 (53.829) Epoch: [2][3050/5809] Time 0.543 (0.447) Data 0.485 (0.373) Loss 3.1418 (3.2387) Prec@1 28.516 (25.418) Prec@5 54.688 (53.834) Epoch: [2][3060/5809] Time 0.633 (0.447) Data 0.575 (0.373) Loss 3.1447 (3.2383) Prec@1 26.562 (25.422) Prec@5 52.734 (53.841) Epoch: [2][3070/5809] Time 0.191 (0.447) Data 0.132 (0.373) Loss 3.1866 (3.2383) Prec@1 25.781 (25.421) Prec@5 56.250 (53.841) Epoch: [2][3080/5809] Time 0.530 (0.447) Data 0.463 (0.373) Loss 3.3657 (3.2382) Prec@1 24.609 (25.421) Prec@5 52.344 (53.842) Epoch: [2][3090/5809] Time 0.180 (0.447) Data 0.118 (0.373) Loss 3.1381 (3.2381) Prec@1 25.781 (25.426) Prec@5 54.688 (53.845) Epoch: [2][3100/5809] Time 0.560 (0.447) Data 0.501 (0.373) Loss 3.1637 (3.2377) Prec@1 26.562 (25.432) Prec@5 55.078 (53.855) Epoch: [2][3110/5809] Time 0.136 (0.447) Data 0.068 (0.373) Loss 3.4129 (3.2378) Prec@1 23.047 (25.433) Prec@5 51.562 (53.854) Epoch: [2][3120/5809] Time 0.842 (0.448) Data 0.782 (0.374) Loss 3.1798 (3.2374) Prec@1 23.828 (25.433) Prec@5 57.812 (53.862) Epoch: [2][3130/5809] Time 0.133 (0.448) Data 0.001 (0.374) Loss 3.1519 (3.2373) Prec@1 29.297 (25.438) Prec@5 54.688 (53.865) Epoch: [2][3140/5809] Time 0.856 (0.448) Data 0.792 (0.374) Loss 3.0414 (3.2372) Prec@1 30.859 (25.437) Prec@5 60.547 (53.866) Epoch: [2][3150/5809] Time 0.407 (0.448) Data 0.347 (0.374) Loss 3.2710 (3.2371) Prec@1 21.875 (25.436) Prec@5 53.516 (53.867) Epoch: [2][3160/5809] Time 0.818 (0.448) Data 0.759 (0.374) Loss 3.1810 (3.2367) Prec@1 26.562 (25.438) Prec@5 56.641 (53.873) Epoch: [2][3170/5809] Time 0.132 (0.448) Data 0.043 (0.374) Loss 3.0948 (3.2364) Prec@1 27.734 (25.443) Prec@5 58.203 (53.881) Epoch: [2][3180/5809] Time 0.290 (0.449) Data 0.232 (0.375) Loss 3.3009 (3.2364) Prec@1 25.781 (25.444) Prec@5 53.516 (53.882) Epoch: [2][3190/5809] Time 0.137 (0.449) Data 0.063 (0.374) Loss 3.0845 (3.2361) Prec@1 29.297 (25.450) Prec@5 58.203 (53.887) Epoch: [2][3200/5809] Time 0.211 (0.449) Data 0.149 (0.375) Loss 3.3314 (3.2361) Prec@1 23.047 (25.450) Prec@5 50.781 (53.890) Epoch: [2][3210/5809] Time 0.637 (0.449) Data 0.574 (0.375) Loss 3.1571 (3.2360) Prec@1 26.562 (25.452) Prec@5 55.859 (53.894) Epoch: [2][3220/5809] Time 0.134 (0.449) Data 0.001 (0.375) Loss 3.2216 (3.2358) Prec@1 27.344 (25.456) Prec@5 57.812 (53.901) Epoch: [2][3230/5809] Time 0.186 (0.449) Data 0.122 (0.375) Loss 3.2356 (3.2356) Prec@1 25.781 (25.458) Prec@5 56.250 (53.907) Epoch: [2][3240/5809] Time 0.133 (0.449) Data 0.044 (0.375) Loss 3.3727 (3.2354) Prec@1 23.438 (25.461) Prec@5 51.172 (53.913) Epoch: [2][3250/5809] Time 0.147 (0.450) Data 0.083 (0.376) Loss 3.1955 (3.2353) Prec@1 25.781 (25.462) Prec@5 57.812 (53.913) Epoch: [2][3260/5809] Time 0.132 (0.450) Data 0.001 (0.376) Loss 3.3911 (3.2352) Prec@1 27.344 (25.460) Prec@5 51.562 (53.917) Epoch: [2][3270/5809] Time 0.139 (0.450) Data 0.001 (0.376) Loss 3.2415 (3.2348) Prec@1 25.000 (25.466) Prec@5 52.734 (53.927) Epoch: [2][3280/5809] Time 0.134 (0.450) Data 0.001 (0.376) Loss 3.1139 (3.2346) Prec@1 24.609 (25.474) Prec@5 60.547 (53.936) Epoch: [2][3290/5809] Time 0.423 (0.450) Data 0.350 (0.376) Loss 3.3423 (3.2344) Prec@1 25.391 (25.480) Prec@5 53.125 (53.940) Epoch: [2][3300/5809] Time 0.134 (0.450) Data 0.001 (0.376) Loss 3.2799 (3.2342) Prec@1 23.047 (25.483) Prec@5 53.125 (53.943) Epoch: [2][3310/5809] Time 0.140 (0.451) Data 0.001 (0.376) Loss 3.2197 (3.2341) Prec@1 25.781 (25.487) Prec@5 57.422 (53.945) Epoch: [2][3320/5809] Time 0.132 (0.451) Data 0.004 (0.376) Loss 3.0309 (3.2337) Prec@1 29.297 (25.493) Prec@5 57.031 (53.952) Epoch: [2][3330/5809] Time 0.150 (0.451) Data 0.090 (0.377) Loss 3.0842 (3.2334) Prec@1 24.219 (25.497) Prec@5 57.422 (53.959) Epoch: [2][3340/5809] Time 0.403 (0.451) Data 0.345 (0.377) Loss 3.0984 (3.2334) Prec@1 29.297 (25.497) Prec@5 57.031 (53.960) Epoch: [2][3350/5809] Time 0.138 (0.451) Data 0.001 (0.377) Loss 3.0267 (3.2333) Prec@1 25.781 (25.501) Prec@5 55.859 (53.963) Epoch: [2][3360/5809] Time 0.441 (0.452) Data 0.382 (0.377) Loss 3.1601 (3.2332) Prec@1 26.562 (25.502) Prec@5 55.859 (53.964) Epoch: [2][3370/5809] Time 0.218 (0.452) Data 0.159 (0.377) Loss 3.2264 (3.2331) Prec@1 22.656 (25.503) Prec@5 51.562 (53.964) Epoch: [2][3380/5809] Time 0.434 (0.452) Data 0.375 (0.378) Loss 3.0672 (3.2328) Prec@1 29.688 (25.507) Prec@5 57.031 (53.968) Epoch: [2][3390/5809] Time 0.448 (0.452) Data 0.390 (0.378) Loss 3.0046 (3.2326) Prec@1 31.250 (25.512) Prec@5 58.203 (53.974) Epoch: [2][3400/5809] Time 0.471 (0.452) Data 0.412 (0.378) Loss 3.1629 (3.2324) Prec@1 25.781 (25.516) Prec@5 59.766 (53.977) Epoch: [2][3410/5809] Time 0.321 (0.452) Data 0.262 (0.378) Loss 3.1584 (3.2323) Prec@1 25.781 (25.519) Prec@5 54.688 (53.977) Epoch: [2][3420/5809] Time 0.512 (0.453) Data 0.453 (0.378) Loss 3.1676 (3.2322) Prec@1 23.828 (25.519) Prec@5 56.641 (53.984) Epoch: [2][3430/5809] Time 1.134 (0.453) Data 1.068 (0.379) Loss 3.1531 (3.2321) Prec@1 29.688 (25.520) Prec@5 59.766 (53.986) Epoch: [2][3440/5809] Time 0.139 (0.453) Data 0.001 (0.379) Loss 3.1468 (3.2318) Prec@1 23.438 (25.522) Prec@5 56.641 (53.993) Epoch: [2][3450/5809] Time 1.397 (0.453) Data 1.339 (0.379) Loss 3.2101 (3.2317) Prec@1 25.391 (25.522) Prec@5 53.125 (53.994) Epoch: [2][3460/5809] Time 0.133 (0.453) Data 0.001 (0.379) Loss 3.1999 (3.2316) Prec@1 22.656 (25.524) Prec@5 58.203 (53.998) Epoch: [2][3470/5809] Time 1.358 (0.454) Data 1.299 (0.379) Loss 3.2517 (3.2313) Prec@1 24.609 (25.528) Prec@5 52.734 (54.004) Epoch: [2][3480/5809] Time 0.133 (0.454) Data 0.001 (0.379) Loss 3.2098 (3.2313) Prec@1 27.734 (25.531) Prec@5 51.953 (54.003) Epoch: [2][3490/5809] Time 0.724 (0.454) Data 0.664 (0.379) Loss 3.0679 (3.2310) Prec@1 31.641 (25.535) Prec@5 58.984 (54.011) Epoch: [2][3500/5809] Time 0.133 (0.454) Data 0.001 (0.380) Loss 3.0378 (3.2308) Prec@1 29.688 (25.538) Prec@5 57.422 (54.013) Epoch: [2][3510/5809] Time 1.785 (0.454) Data 1.718 (0.380) Loss 3.0627 (3.2305) Prec@1 28.516 (25.543) Prec@5 56.250 (54.021) Epoch: [2][3520/5809] Time 0.143 (0.454) Data 0.083 (0.380) Loss 3.2276 (3.2302) Prec@1 22.656 (25.545) Prec@5 55.078 (54.029) Epoch: [2][3530/5809] Time 1.676 (0.455) Data 1.617 (0.380) Loss 3.2814 (3.2301) Prec@1 25.000 (25.547) Prec@5 56.250 (54.031) Epoch: [2][3540/5809] Time 0.133 (0.455) Data 0.043 (0.380) Loss 3.1819 (3.2300) Prec@1 22.266 (25.546) Prec@5 52.734 (54.034) Epoch: [2][3550/5809] Time 1.872 (0.455) Data 1.814 (0.381) Loss 3.2307 (3.2297) Prec@1 25.391 (25.547) Prec@5 55.859 (54.041) Epoch: [2][3560/5809] Time 0.133 (0.455) Data 0.001 (0.381) Loss 3.2049 (3.2295) Prec@1 23.438 (25.547) Prec@5 52.344 (54.043) Epoch: [2][3570/5809] Time 1.479 (0.456) Data 1.408 (0.381) Loss 3.1594 (3.2292) Prec@1 33.203 (25.553) Prec@5 56.641 (54.046) Epoch: [2][3580/5809] Time 0.133 (0.456) Data 0.001 (0.381) Loss 3.1760 (3.2291) Prec@1 26.172 (25.556) Prec@5 52.734 (54.051) Epoch: [2][3590/5809] Time 1.190 (0.456) Data 1.129 (0.381) Loss 3.2512 (3.2292) Prec@1 24.219 (25.554) Prec@5 53.906 (54.050) Epoch: [2][3600/5809] Time 0.183 (0.456) Data 0.120 (0.381) Loss 3.0755 (3.2289) Prec@1 28.906 (25.556) Prec@5 58.594 (54.054) Epoch: [2][3610/5809] Time 1.495 (0.457) Data 1.436 (0.381) Loss 3.0247 (3.2288) Prec@1 28.906 (25.560) Prec@5 58.594 (54.056) Epoch: [2][3620/5809] Time 0.582 (0.457) Data 0.514 (0.381) Loss 3.1875 (3.2285) Prec@1 26.172 (25.566) Prec@5 54.297 (54.061) Epoch: [2][3630/5809] Time 0.631 (0.457) Data 0.569 (0.382) Loss 3.1450 (3.2283) Prec@1 25.781 (25.570) Prec@5 57.031 (54.065) Epoch: [2][3640/5809] Time 0.840 (0.457) Data 0.781 (0.382) Loss 3.3152 (3.2283) Prec@1 27.734 (25.568) Prec@5 55.078 (54.064) Epoch: [2][3650/5809] Time 0.133 (0.457) Data 0.001 (0.382) Loss 3.1372 (3.2281) Prec@1 30.469 (25.576) Prec@5 58.203 (54.070) Epoch: [2][3660/5809] Time 0.703 (0.457) Data 0.645 (0.382) Loss 2.9930 (3.2280) Prec@1 28.906 (25.579) Prec@5 60.156 (54.071) Epoch: [2][3670/5809] Time 0.220 (0.457) Data 0.161 (0.382) Loss 3.2576 (3.2279) Prec@1 24.219 (25.582) Prec@5 50.781 (54.071) Epoch: [2][3680/5809] Time 0.514 (0.457) Data 0.454 (0.382) Loss 2.9943 (3.2277) Prec@1 30.469 (25.586) Prec@5 57.812 (54.073) Epoch: [2][3690/5809] Time 0.171 (0.457) Data 0.112 (0.382) Loss 3.1386 (3.2276) Prec@1 29.297 (25.587) Prec@5 53.516 (54.073) Epoch: [2][3700/5809] Time 0.132 (0.458) Data 0.001 (0.383) Loss 3.2434 (3.2275) Prec@1 22.656 (25.591) Prec@5 57.812 (54.077) Epoch: [2][3710/5809] Time 0.248 (0.458) Data 0.188 (0.384) Loss 3.1291 (3.2273) Prec@1 27.344 (25.597) Prec@5 53.906 (54.082) Epoch: [2][3720/5809] Time 0.134 (0.459) Data 0.001 (0.384) Loss 3.1321 (3.2271) Prec@1 29.297 (25.601) Prec@5 55.078 (54.088) Epoch: [2][3730/5809] Time 0.360 (0.459) Data 0.301 (0.384) Loss 3.1490 (3.2268) Prec@1 23.828 (25.606) Prec@5 55.469 (54.094) Epoch: [2][3740/5809] Time 0.137 (0.459) Data 0.076 (0.385) Loss 3.1799 (3.2266) Prec@1 27.344 (25.613) Prec@5 53.125 (54.097) Epoch: [2][3750/5809] Time 0.247 (0.459) Data 0.189 (0.384) Loss 2.9359 (3.2265) Prec@1 32.812 (25.617) Prec@5 55.469 (54.102) Epoch: [2][3760/5809] Time 0.287 (0.460) Data 0.227 (0.385) Loss 3.0656 (3.2263) Prec@1 33.594 (25.618) Prec@5 59.766 (54.107) Epoch: [2][3770/5809] Time 0.553 (0.460) Data 0.493 (0.385) Loss 3.2284 (3.2260) Prec@1 21.875 (25.620) Prec@5 57.422 (54.111) Epoch: [2][3780/5809] Time 0.187 (0.460) Data 0.129 (0.385) Loss 3.4144 (3.2261) Prec@1 25.000 (25.619) Prec@5 52.344 (54.110) Epoch: [2][3790/5809] Time 0.711 (0.460) Data 0.652 (0.385) Loss 3.0480 (3.2260) Prec@1 25.391 (25.621) Prec@5 57.031 (54.111) Epoch: [2][3800/5809] Time 0.133 (0.460) Data 0.060 (0.385) Loss 3.1005 (3.2260) Prec@1 30.469 (25.621) Prec@5 58.203 (54.112) Epoch: [2][3810/5809] Time 0.860 (0.460) Data 0.800 (0.385) Loss 3.1336 (3.2258) Prec@1 29.297 (25.627) Prec@5 54.688 (54.118) Epoch: [2][3820/5809] Time 0.143 (0.460) Data 0.001 (0.385) Loss 3.3026 (3.2255) Prec@1 23.828 (25.629) Prec@5 49.609 (54.122) Epoch: [2][3830/5809] Time 0.958 (0.460) Data 0.900 (0.386) Loss 3.0128 (3.2252) Prec@1 25.000 (25.633) Prec@5 56.250 (54.126) Epoch: [2][3840/5809] Time 0.501 (0.461) Data 0.442 (0.386) Loss 3.0295 (3.2250) Prec@1 26.953 (25.637) Prec@5 57.422 (54.130) Epoch: [2][3850/5809] Time 0.556 (0.461) Data 0.496 (0.386) Loss 3.0246 (3.2249) Prec@1 25.781 (25.639) Prec@5 58.203 (54.134) Epoch: [2][3860/5809] Time 0.700 (0.461) Data 0.641 (0.386) Loss 3.0750 (3.2245) Prec@1 26.953 (25.646) Prec@5 58.594 (54.141) Epoch: [2][3870/5809] Time 0.132 (0.461) Data 0.001 (0.386) Loss 3.2959 (3.2244) Prec@1 28.906 (25.650) Prec@5 51.172 (54.145) Epoch: [2][3880/5809] Time 0.552 (0.461) Data 0.493 (0.386) Loss 3.2472 (3.2243) Prec@1 24.219 (25.654) Prec@5 54.688 (54.145) Epoch: [2][3890/5809] Time 0.238 (0.461) Data 0.179 (0.386) Loss 2.9448 (3.2240) Prec@1 30.859 (25.658) Prec@5 61.328 (54.149) Epoch: [2][3900/5809] Time 1.173 (0.461) Data 1.112 (0.387) Loss 3.1761 (3.2239) Prec@1 26.562 (25.660) Prec@5 53.516 (54.153) Epoch: [2][3910/5809] Time 0.469 (0.462) Data 0.407 (0.387) Loss 3.0886 (3.2239) Prec@1 25.781 (25.661) Prec@5 55.078 (54.155) Epoch: [2][3920/5809] Time 0.887 (0.462) Data 0.829 (0.387) Loss 3.2440 (3.2237) Prec@1 26.562 (25.661) Prec@5 51.953 (54.158) Epoch: [2][3930/5809] Time 0.479 (0.462) Data 0.420 (0.387) Loss 3.0798 (3.2234) Prec@1 25.391 (25.669) Prec@5 60.156 (54.165) Epoch: [2][3940/5809] Time 0.945 (0.462) Data 0.887 (0.387) Loss 2.8929 (3.2232) Prec@1 33.594 (25.673) Prec@5 62.891 (54.169) Epoch: [2][3950/5809] Time 0.134 (0.462) Data 0.001 (0.388) Loss 3.2675 (3.2231) Prec@1 24.609 (25.674) Prec@5 55.469 (54.172) Epoch: [2][3960/5809] Time 1.363 (0.463) Data 1.303 (0.388) Loss 3.3117 (3.2229) Prec@1 27.344 (25.683) Prec@5 53.125 (54.177) Epoch: [2][3970/5809] Time 0.134 (0.463) Data 0.001 (0.388) Loss 3.3067 (3.2228) Prec@1 21.875 (25.683) Prec@5 51.172 (54.177) Epoch: [2][3980/5809] Time 0.912 (0.463) Data 0.853 (0.388) Loss 3.0798 (3.2226) Prec@1 28.906 (25.689) Prec@5 56.641 (54.184) Epoch: [2][3990/5809] Time 0.411 (0.463) Data 0.352 (0.388) Loss 3.2853 (3.2225) Prec@1 24.609 (25.687) Prec@5 50.000 (54.183) Epoch: [2][4000/5809] Time 0.516 (0.463) Data 0.456 (0.388) Loss 3.1981 (3.2224) Prec@1 25.781 (25.691) Prec@5 58.984 (54.188) Epoch: [2][4010/5809] Time 0.721 (0.463) Data 0.662 (0.389) Loss 3.3114 (3.2222) Prec@1 23.828 (25.692) Prec@5 51.562 (54.192) Epoch: [2][4020/5809] Time 0.543 (0.463) Data 0.482 (0.389) Loss 3.1257 (3.2222) Prec@1 26.953 (25.693) Prec@5 55.469 (54.190) Epoch: [2][4030/5809] Time 0.895 (0.464) Data 0.836 (0.389) Loss 3.2673 (3.2222) Prec@1 26.172 (25.694) Prec@5 54.297 (54.191) Epoch: [2][4040/5809] Time 0.374 (0.464) Data 0.316 (0.389) Loss 3.0113 (3.2220) Prec@1 28.125 (25.698) Prec@5 60.156 (54.198) Epoch: [2][4050/5809] Time 0.323 (0.464) Data 0.265 (0.389) Loss 3.2831 (3.2219) Prec@1 22.656 (25.702) Prec@5 52.734 (54.199) Epoch: [2][4060/5809] Time 0.610 (0.464) Data 0.552 (0.390) Loss 3.1964 (3.2218) Prec@1 27.734 (25.705) Prec@5 56.250 (54.199) Epoch: [2][4070/5809] Time 0.526 (0.464) Data 0.467 (0.390) Loss 3.2527 (3.2216) Prec@1 23.047 (25.710) Prec@5 53.125 (54.203) Epoch: [2][4080/5809] Time 0.478 (0.465) Data 0.415 (0.390) Loss 3.1339 (3.2215) Prec@1 30.859 (25.712) Prec@5 54.688 (54.201) Epoch: [2][4090/5809] Time 0.132 (0.465) Data 0.053 (0.390) Loss 3.5714 (3.2214) Prec@1 22.656 (25.715) Prec@5 52.344 (54.205) Epoch: [2][4100/5809] Time 0.365 (0.465) Data 0.305 (0.390) Loss 3.2374 (3.2213) Prec@1 28.125 (25.718) Prec@5 53.125 (54.207) Epoch: [2][4110/5809] Time 0.134 (0.465) Data 0.060 (0.391) Loss 3.1777 (3.2212) Prec@1 29.688 (25.723) Prec@5 55.859 (54.209) Epoch: [2][4120/5809] Time 0.133 (0.465) Data 0.001 (0.391) Loss 3.2733 (3.2211) Prec@1 26.172 (25.722) Prec@5 52.734 (54.209) Epoch: [2][4130/5809] Time 0.877 (0.466) Data 0.815 (0.391) Loss 3.2079 (3.2209) Prec@1 28.125 (25.727) Prec@5 55.078 (54.214) Epoch: [2][4140/5809] Time 0.375 (0.466) Data 0.317 (0.391) Loss 3.0166 (3.2207) Prec@1 28.125 (25.732) Prec@5 59.766 (54.217) Epoch: [2][4150/5809] Time 0.680 (0.466) Data 0.620 (0.392) Loss 3.1850 (3.2206) Prec@1 24.609 (25.734) Prec@5 53.516 (54.218) Epoch: [2][4160/5809] Time 0.367 (0.466) Data 0.305 (0.392) Loss 3.3611 (3.2205) Prec@1 25.781 (25.737) Prec@5 50.391 (54.220) Epoch: [2][4170/5809] Time 0.946 (0.467) Data 0.888 (0.392) Loss 3.1968 (3.2202) Prec@1 25.391 (25.742) Prec@5 56.641 (54.227) Epoch: [2][4180/5809] Time 0.126 (0.467) Data 0.052 (0.392) Loss 3.3276 (3.2200) Prec@1 25.391 (25.747) Prec@5 51.562 (54.231) Epoch: [2][4190/5809] Time 1.277 (0.467) Data 1.213 (0.393) Loss 3.2059 (3.2197) Prec@1 26.953 (25.751) Prec@5 55.078 (54.237) Epoch: [2][4200/5809] Time 0.221 (0.467) Data 0.156 (0.393) Loss 3.0431 (3.2196) Prec@1 30.859 (25.756) Prec@5 56.250 (54.241) Epoch: [2][4210/5809] Time 1.003 (0.467) Data 0.940 (0.393) Loss 3.1528 (3.2194) Prec@1 28.125 (25.759) Prec@5 57.422 (54.249) Epoch: [2][4220/5809] Time 0.133 (0.468) Data 0.001 (0.393) Loss 3.2142 (3.2192) Prec@1 24.219 (25.761) Prec@5 53.516 (54.251) Epoch: [2][4230/5809] Time 0.945 (0.468) Data 0.885 (0.394) Loss 3.1637 (3.2189) Prec@1 30.078 (25.766) Prec@5 57.422 (54.258) Epoch: [2][4240/5809] Time 0.134 (0.468) Data 0.001 (0.394) Loss 3.3244 (3.2188) Prec@1 25.391 (25.770) Prec@5 51.562 (54.259) Epoch: [2][4250/5809] Time 1.183 (0.469) Data 1.123 (0.394) Loss 3.0301 (3.2186) Prec@1 25.781 (25.771) Prec@5 58.594 (54.264) Epoch: [2][4260/5809] Time 0.133 (0.469) Data 0.001 (0.394) Loss 2.9379 (3.2183) Prec@1 31.250 (25.775) Prec@5 58.203 (54.269) Epoch: [2][4270/5809] Time 0.970 (0.469) Data 0.906 (0.395) Loss 2.9508 (3.2180) Prec@1 28.125 (25.779) Prec@5 59.375 (54.274) Epoch: [2][4280/5809] Time 0.159 (0.469) Data 0.096 (0.395) Loss 3.4900 (3.2178) Prec@1 19.922 (25.785) Prec@5 50.391 (54.277) Epoch: [2][4290/5809] Time 0.870 (0.470) Data 0.806 (0.395) Loss 3.2210 (3.2178) Prec@1 24.219 (25.786) Prec@5 54.297 (54.281) Epoch: [2][4300/5809] Time 0.132 (0.470) Data 0.001 (0.395) Loss 3.3757 (3.2175) Prec@1 26.172 (25.792) Prec@5 54.688 (54.291) Epoch: [2][4310/5809] Time 0.132 (0.470) Data 0.001 (0.396) Loss 3.0621 (3.2173) Prec@1 25.391 (25.794) Prec@5 50.781 (54.290) Epoch: [2][4320/5809] Time 0.683 (0.471) Data 0.624 (0.396) Loss 3.3655 (3.2172) Prec@1 24.219 (25.797) Prec@5 51.172 (54.292) Epoch: [2][4330/5809] Time 0.182 (0.471) Data 0.119 (0.396) Loss 3.0533 (3.2168) Prec@1 28.906 (25.802) Prec@5 59.766 (54.302) Epoch: [2][4340/5809] Time 0.426 (0.471) Data 0.367 (0.397) Loss 3.1199 (3.2166) Prec@1 25.781 (25.803) Prec@5 58.984 (54.306) Epoch: [2][4350/5809] Time 0.133 (0.472) Data 0.001 (0.397) Loss 3.2695 (3.2165) Prec@1 23.828 (25.806) Prec@5 52.734 (54.310) Epoch: [2][4360/5809] Time 0.654 (0.472) Data 0.595 (0.397) Loss 3.1640 (3.2164) Prec@1 27.344 (25.808) Prec@5 54.688 (54.312) Epoch: [2][4370/5809] Time 0.376 (0.472) Data 0.316 (0.398) Loss 3.0309 (3.2162) Prec@1 31.641 (25.812) Prec@5 60.156 (54.318) Epoch: [2][4380/5809] Time 1.249 (0.472) Data 1.189 (0.398) Loss 3.3467 (3.2160) Prec@1 24.219 (25.814) Prec@5 53.516 (54.323) Epoch: [2][4390/5809] Time 0.182 (0.472) Data 0.123 (0.398) Loss 3.4275 (3.2160) Prec@1 21.484 (25.815) Prec@5 48.438 (54.325) Epoch: [2][4400/5809] Time 1.035 (0.473) Data 0.976 (0.398) Loss 2.9813 (3.2158) Prec@1 29.297 (25.820) Prec@5 60.547 (54.328) Epoch: [2][4410/5809] Time 0.245 (0.473) Data 0.187 (0.399) Loss 3.0406 (3.2156) Prec@1 28.516 (25.823) Prec@5 60.938 (54.331) Epoch: [2][4420/5809] Time 1.115 (0.473) Data 1.053 (0.399) Loss 2.9731 (3.2156) Prec@1 30.469 (25.823) Prec@5 55.859 (54.331) Epoch: [2][4430/5809] Time 0.134 (0.474) Data 0.001 (0.399) Loss 3.1096 (3.2155) Prec@1 27.734 (25.826) Prec@5 58.203 (54.332) Epoch: [2][4440/5809] Time 0.578 (0.474) Data 0.520 (0.400) Loss 3.2905 (3.2153) Prec@1 24.219 (25.829) Prec@5 49.219 (54.336) Epoch: [2][4450/5809] Time 0.162 (0.474) Data 0.104 (0.400) Loss 3.1955 (3.2153) Prec@1 22.656 (25.828) Prec@5 55.859 (54.337) Epoch: [2][4460/5809] Time 0.390 (0.474) Data 0.331 (0.400) Loss 3.2170 (3.2152) Prec@1 25.781 (25.829) Prec@5 56.641 (54.339) Epoch: [2][4470/5809] Time 0.281 (0.474) Data 0.222 (0.400) Loss 3.1613 (3.2151) Prec@1 28.516 (25.832) Prec@5 54.688 (54.339) Epoch: [2][4480/5809] Time 0.541 (0.475) Data 0.481 (0.401) Loss 3.1734 (3.2149) Prec@1 30.078 (25.835) Prec@5 52.344 (54.345) Epoch: [2][4490/5809] Time 0.134 (0.475) Data 0.001 (0.401) Loss 3.1017 (3.2146) Prec@1 27.344 (25.840) Prec@5 55.859 (54.353) Epoch: [2][4500/5809] Time 0.748 (0.477) Data 0.689 (0.403) Loss 3.1977 (3.2144) Prec@1 27.344 (25.841) Prec@5 53.516 (54.356) Epoch: [2][4510/5809] Time 1.289 (0.478) Data 1.231 (0.403) Loss 3.0206 (3.2141) Prec@1 30.859 (25.841) Prec@5 57.422 (54.361) Epoch: [2][4520/5809] Time 0.297 (0.479) Data 0.231 (0.404) Loss 2.8623 (3.2140) Prec@1 35.938 (25.844) Prec@5 62.500 (54.362) Epoch: [2][4530/5809] Time 1.337 (0.479) Data 1.277 (0.405) Loss 3.2498 (3.2139) Prec@1 24.219 (25.844) Prec@5 53.906 (54.367) Epoch: [2][4540/5809] Time 0.515 (0.480) Data 0.457 (0.406) Loss 3.1181 (3.2138) Prec@1 26.172 (25.844) Prec@5 52.344 (54.367) Epoch: [2][4550/5809] Time 1.556 (0.481) Data 1.497 (0.406) Loss 3.0769 (3.2136) Prec@1 27.344 (25.851) Prec@5 55.078 (54.371) Epoch: [2][4560/5809] Time 0.245 (0.481) Data 0.183 (0.407) Loss 3.1278 (3.2134) Prec@1 28.906 (25.854) Prec@5 55.469 (54.374) Epoch: [2][4570/5809] Time 1.852 (0.482) Data 1.793 (0.407) Loss 2.9616 (3.2130) Prec@1 27.344 (25.859) Prec@5 62.109 (54.381) Epoch: [2][4580/5809] Time 0.133 (0.482) Data 0.001 (0.408) Loss 3.1424 (3.2128) Prec@1 28.125 (25.862) Prec@5 53.906 (54.388) Epoch: [2][4590/5809] Time 2.035 (0.483) Data 1.975 (0.408) Loss 2.9310 (3.2127) Prec@1 32.031 (25.868) Prec@5 60.547 (54.394) Epoch: [2][4600/5809] Time 0.133 (0.483) Data 0.001 (0.409) Loss 3.2877 (3.2125) Prec@1 28.125 (25.873) Prec@5 52.344 (54.397) Epoch: [2][4610/5809] Time 1.307 (0.483) Data 1.244 (0.409) Loss 3.0255 (3.2124) Prec@1 30.859 (25.877) Prec@5 58.984 (54.400) Epoch: [2][4620/5809] Time 0.133 (0.483) Data 0.001 (0.409) Loss 3.0743 (3.2124) Prec@1 26.953 (25.876) Prec@5 57.422 (54.399) Epoch: [2][4630/5809] Time 0.517 (0.483) Data 0.459 (0.409) Loss 3.3879 (3.2123) Prec@1 28.516 (25.880) Prec@5 52.344 (54.403) Epoch: [2][4640/5809] Time 0.129 (0.483) Data 0.047 (0.409) Loss 3.2096 (3.2120) Prec@1 27.734 (25.884) Prec@5 54.688 (54.408) Epoch: [2][4650/5809] Time 0.131 (0.484) Data 0.046 (0.409) Loss 2.9808 (3.2119) Prec@1 29.688 (25.883) Prec@5 62.500 (54.411) Epoch: [2][4660/5809] Time 0.851 (0.484) Data 0.792 (0.410) Loss 3.0574 (3.2117) Prec@1 30.469 (25.887) Prec@5 57.812 (54.413) Epoch: [2][4670/5809] Time 0.133 (0.484) Data 0.001 (0.410) Loss 3.1781 (3.2116) Prec@1 25.391 (25.891) Prec@5 54.688 (54.416) Epoch: [2][4680/5809] Time 0.620 (0.484) Data 0.557 (0.410) Loss 3.3767 (3.2114) Prec@1 26.172 (25.896) Prec@5 53.125 (54.421) Epoch: [2][4690/5809] Time 0.229 (0.484) Data 0.170 (0.410) Loss 3.2026 (3.2111) Prec@1 25.391 (25.901) Prec@5 53.516 (54.428) Epoch: [2][4700/5809] Time 0.972 (0.485) Data 0.914 (0.410) Loss 3.1179 (3.2110) Prec@1 28.516 (25.903) Prec@5 56.250 (54.431) Epoch: [2][4710/5809] Time 0.315 (0.485) Data 0.251 (0.411) Loss 3.2552 (3.2109) Prec@1 29.297 (25.907) Prec@5 50.391 (54.434) Epoch: [2][4720/5809] Time 0.613 (0.485) Data 0.555 (0.411) Loss 2.9936 (3.2108) Prec@1 29.688 (25.911) Prec@5 55.469 (54.438) Epoch: [2][4730/5809] Time 0.134 (0.485) Data 0.001 (0.411) Loss 3.2054 (3.2107) Prec@1 27.344 (25.910) Prec@5 56.641 (54.441) Epoch: [2][4740/5809] Time 0.814 (0.485) Data 0.756 (0.411) Loss 2.9969 (3.2106) Prec@1 32.422 (25.913) Prec@5 60.156 (54.443) Epoch: [2][4750/5809] Time 0.935 (0.486) Data 0.877 (0.412) Loss 3.2087 (3.2104) Prec@1 26.953 (25.917) Prec@5 55.078 (54.451) Epoch: [2][4760/5809] Time 0.959 (0.486) Data 0.898 (0.412) Loss 3.0850 (3.2101) Prec@1 27.734 (25.923) Prec@5 53.906 (54.453) Epoch: [2][4770/5809] Time 0.445 (0.486) Data 0.385 (0.412) Loss 3.0096 (3.2099) Prec@1 28.906 (25.926) Prec@5 58.984 (54.460) Epoch: [2][4780/5809] Time 0.233 (0.486) Data 0.174 (0.412) Loss 3.3971 (3.2099) Prec@1 25.391 (25.926) Prec@5 50.391 (54.459) Epoch: [2][4790/5809] Time 0.713 (0.487) Data 0.655 (0.413) Loss 3.0257 (3.2098) Prec@1 25.781 (25.928) Prec@5 60.938 (54.463) Epoch: [2][4800/5809] Time 0.450 (0.487) Data 0.391 (0.413) Loss 3.3733 (3.2098) Prec@1 27.344 (25.931) Prec@5 51.953 (54.466) Epoch: [2][4810/5809] Time 0.893 (0.487) Data 0.833 (0.413) Loss 3.1601 (3.2096) Prec@1 26.562 (25.935) Prec@5 57.422 (54.471) Epoch: [2][4820/5809] Time 0.870 (0.488) Data 0.810 (0.414) Loss 3.0965 (3.2093) Prec@1 25.000 (25.939) Prec@5 53.516 (54.476) Epoch: [2][4830/5809] Time 0.315 (0.488) Data 0.256 (0.414) Loss 3.2563 (3.2091) Prec@1 24.609 (25.945) Prec@5 53.516 (54.484) Epoch: [2][4840/5809] Time 2.143 (0.490) Data 2.079 (0.416) Loss 3.2386 (3.2091) Prec@1 25.391 (25.945) Prec@5 53.125 (54.485) Epoch: [2][4850/5809] Time 0.453 (0.490) Data 0.390 (0.417) Loss 3.0234 (3.2088) Prec@1 33.203 (25.949) Prec@5 60.156 (54.490) Epoch: [2][4860/5809] Time 1.596 (0.492) Data 1.530 (0.418) Loss 3.1179 (3.2088) Prec@1 21.875 (25.947) Prec@5 56.641 (54.490) Epoch: [2][4870/5809] Time 0.483 (0.493) Data 0.425 (0.419) Loss 3.0269 (3.2086) Prec@1 29.688 (25.952) Prec@5 61.328 (54.495) Epoch: [2][4880/5809] Time 0.943 (0.494) Data 0.885 (0.420) Loss 3.0797 (3.2083) Prec@1 25.000 (25.955) Prec@5 57.422 (54.500) Epoch: [2][4890/5809] Time 1.076 (0.495) Data 1.013 (0.421) Loss 3.0882 (3.2081) Prec@1 25.000 (25.959) Prec@5 59.375 (54.510) Epoch: [2][4900/5809] Time 2.035 (0.496) Data 1.977 (0.423) Loss 3.0204 (3.2078) Prec@1 32.422 (25.964) Prec@5 61.328 (54.517) Epoch: [2][4910/5809] Time 0.133 (0.497) Data 0.001 (0.423) Loss 3.0645 (3.2077) Prec@1 28.516 (25.967) Prec@5 58.594 (54.521) Epoch: [2][4920/5809] Time 1.291 (0.498) Data 1.231 (0.424) Loss 2.9741 (3.2075) Prec@1 25.781 (25.972) Prec@5 58.984 (54.525) Epoch: [2][4930/5809] Time 0.441 (0.499) Data 0.382 (0.425) Loss 3.0762 (3.2074) Prec@1 28.906 (25.973) Prec@5 53.906 (54.526) Epoch: [2][4940/5809] Time 0.258 (0.500) Data 0.198 (0.426) Loss 3.1448 (3.2072) Prec@1 24.219 (25.975) Prec@5 57.422 (54.532) Epoch: [2][4950/5809] Time 1.756 (0.501) Data 1.692 (0.428) Loss 2.9890 (3.2070) Prec@1 27.344 (25.979) Prec@5 58.594 (54.538) Epoch: [2][4960/5809] Time 0.133 (0.502) Data 0.001 (0.428) Loss 2.9975 (3.2068) Prec@1 28.906 (25.982) Prec@5 59.766 (54.542) Epoch: [2][4970/5809] Time 1.803 (0.503) Data 1.739 (0.429) Loss 3.0698 (3.2066) Prec@1 27.344 (25.986) Prec@5 55.859 (54.543) Epoch: [2][4980/5809] Time 0.303 (0.503) Data 0.243 (0.430) Loss 3.3235 (3.2065) Prec@1 23.828 (25.986) Prec@5 48.047 (54.546) Epoch: [2][4990/5809] Time 1.160 (0.504) Data 1.101 (0.430) Loss 2.9191 (3.2063) Prec@1 31.250 (25.989) Prec@5 61.719 (54.552) Epoch: [2][5000/5809] Time 0.133 (0.505) Data 0.001 (0.431) Loss 3.0343 (3.2062) Prec@1 27.734 (25.990) Prec@5 57.422 (54.553) Epoch: [2][5010/5809] Time 1.959 (0.506) Data 1.899 (0.432) Loss 3.2357 (3.2061) Prec@1 26.562 (25.991) Prec@5 57.812 (54.557) Epoch: [2][5020/5809] Time 0.134 (0.506) Data 0.001 (0.432) Loss 3.1971 (3.2059) Prec@1 26.562 (25.994) Prec@5 55.078 (54.559) Epoch: [2][5030/5809] Time 0.826 (0.507) Data 0.765 (0.433) Loss 3.3492 (3.2058) Prec@1 23.438 (25.998) Prec@5 51.953 (54.565) Epoch: [2][5040/5809] Time 0.134 (0.507) Data 0.001 (0.434) Loss 3.0595 (3.2056) Prec@1 28.516 (26.003) Prec@5 56.641 (54.570) Epoch: [2][5050/5809] Time 0.614 (0.508) Data 0.556 (0.434) Loss 3.2241 (3.2055) Prec@1 28.516 (26.005) Prec@5 53.125 (54.571) Epoch: [2][5060/5809] Time 0.395 (0.508) Data 0.337 (0.435) Loss 3.0654 (3.2053) Prec@1 27.734 (26.010) Prec@5 56.250 (54.576) Epoch: [2][5070/5809] Time 0.924 (0.509) Data 0.865 (0.435) Loss 3.5278 (3.2052) Prec@1 23.047 (26.017) Prec@5 47.266 (54.578) Epoch: [2][5080/5809] Time 0.130 (0.509) Data 0.046 (0.435) Loss 3.1818 (3.2050) Prec@1 25.391 (26.019) Prec@5 54.297 (54.580) Epoch: [2][5090/5809] Time 1.511 (0.510) Data 1.451 (0.436) Loss 2.9098 (3.2048) Prec@1 29.688 (26.021) Prec@5 60.156 (54.587) Epoch: [2][5100/5809] Time 0.140 (0.510) Data 0.080 (0.436) Loss 3.2553 (3.2047) Prec@1 26.172 (26.024) Prec@5 53.516 (54.589) Epoch: [2][5110/5809] Time 1.200 (0.511) Data 1.141 (0.437) Loss 3.1469 (3.2045) Prec@1 26.172 (26.024) Prec@5 57.031 (54.593) Epoch: [2][5120/5809] Time 0.786 (0.511) Data 0.727 (0.437) Loss 3.1093 (3.2044) Prec@1 27.344 (26.028) Prec@5 53.125 (54.596) Epoch: [2][5130/5809] Time 2.050 (0.512) Data 1.991 (0.439) Loss 3.1024 (3.2042) Prec@1 25.391 (26.032) Prec@5 59.766 (54.600) Epoch: [2][5140/5809] Time 1.672 (0.513) Data 1.613 (0.440) Loss 3.0394 (3.2040) Prec@1 30.859 (26.036) Prec@5 56.250 (54.602) Epoch: [2][5150/5809] Time 1.257 (0.514) Data 1.199 (0.440) Loss 3.0664 (3.2038) Prec@1 28.906 (26.039) Prec@5 55.469 (54.606) Epoch: [2][5160/5809] Time 0.134 (0.515) Data 0.063 (0.441) Loss 3.0713 (3.2035) Prec@1 28.125 (26.044) Prec@5 57.812 (54.613) Epoch: [2][5170/5809] Time 1.713 (0.516) Data 1.655 (0.442) Loss 3.1619 (3.2033) Prec@1 24.609 (26.047) Prec@5 52.344 (54.618) Epoch: [2][5180/5809] Time 0.133 (0.516) Data 0.001 (0.443) Loss 3.1764 (3.2033) Prec@1 25.000 (26.048) Prec@5 57.031 (54.617) Epoch: [2][5190/5809] Time 0.793 (0.517) Data 0.732 (0.443) Loss 3.2352 (3.2031) Prec@1 27.344 (26.053) Prec@5 54.297 (54.622) Epoch: [2][5200/5809] Time 0.857 (0.518) Data 0.799 (0.444) Loss 3.1551 (3.2030) Prec@1 26.953 (26.056) Prec@5 55.859 (54.626) Epoch: [2][5210/5809] Time 2.151 (0.519) Data 2.088 (0.445) Loss 3.1148 (3.2027) Prec@1 28.906 (26.063) Prec@5 57.812 (54.630) Epoch: [2][5220/5809] Time 0.133 (0.519) Data 0.001 (0.445) Loss 3.1286 (3.2025) Prec@1 24.609 (26.065) Prec@5 58.594 (54.634) Epoch: [2][5230/5809] Time 1.535 (0.520) Data 1.471 (0.446) Loss 3.2582 (3.2023) Prec@1 21.875 (26.066) Prec@5 52.344 (54.637) Epoch: [2][5240/5809] Time 0.941 (0.520) Data 0.880 (0.446) Loss 3.3475 (3.2022) Prec@1 22.266 (26.067) Prec@5 53.125 (54.638) Epoch: [2][5250/5809] Time 0.872 (0.520) Data 0.812 (0.447) Loss 3.1850 (3.2021) Prec@1 25.781 (26.070) Prec@5 54.297 (54.643) Epoch: [2][5260/5809] Time 1.093 (0.521) Data 1.034 (0.447) Loss 3.2359 (3.2019) Prec@1 23.047 (26.075) Prec@5 53.516 (54.646) Epoch: [2][5270/5809] Time 1.361 (0.521) Data 1.301 (0.448) Loss 3.0946 (3.2017) Prec@1 31.641 (26.080) Prec@5 54.688 (54.650) Epoch: [2][5280/5809] Time 0.552 (0.522) Data 0.494 (0.448) Loss 2.9615 (3.2014) Prec@1 31.250 (26.084) Prec@5 61.328 (54.657) Epoch: [2][5290/5809] Time 0.552 (0.522) Data 0.493 (0.449) Loss 3.1043 (3.2014) Prec@1 30.078 (26.085) Prec@5 58.984 (54.657) Epoch: [2][5300/5809] Time 0.133 (0.523) Data 0.001 (0.449) Loss 3.2477 (3.2012) Prec@1 21.484 (26.087) Prec@5 51.172 (54.661) Epoch: [2][5310/5809] Time 0.358 (0.523) Data 0.298 (0.450) Loss 3.1574 (3.2010) Prec@1 26.562 (26.092) Prec@5 55.078 (54.666) Epoch: [2][5320/5809] Time 0.625 (0.523) Data 0.566 (0.450) Loss 3.2634 (3.2007) Prec@1 23.047 (26.096) Prec@5 51.953 (54.671) Epoch: [2][5330/5809] Time 0.134 (0.524) Data 0.001 (0.450) Loss 3.1605 (3.2006) Prec@1 26.562 (26.099) Prec@5 54.688 (54.673) Epoch: [2][5340/5809] Time 1.083 (0.525) Data 1.024 (0.451) Loss 3.0049 (3.2004) Prec@1 31.250 (26.106) Prec@5 59.375 (54.675) Epoch: [2][5350/5809] Time 0.905 (0.525) Data 0.846 (0.452) Loss 3.0545 (3.2001) Prec@1 28.516 (26.112) Prec@5 60.156 (54.682) Epoch: [2][5360/5809] Time 0.618 (0.526) Data 0.558 (0.453) Loss 3.1826 (3.2001) Prec@1 26.953 (26.114) Prec@5 58.203 (54.682) Epoch: [2][5370/5809] Time 1.170 (0.527) Data 1.111 (0.453) Loss 3.0639 (3.1999) Prec@1 24.609 (26.115) Prec@5 53.125 (54.683) Epoch: [2][5380/5809] Time 0.134 (0.528) Data 0.001 (0.454) Loss 3.2609 (3.2000) Prec@1 22.656 (26.116) Prec@5 52.344 (54.683) Epoch: [2][5390/5809] Time 1.501 (0.529) Data 1.443 (0.455) Loss 2.9492 (3.1998) Prec@1 27.734 (26.120) Prec@5 61.328 (54.687) Epoch: [2][5400/5809] Time 0.503 (0.529) Data 0.445 (0.456) Loss 3.2012 (3.1996) Prec@1 23.828 (26.123) Prec@5 55.859 (54.691) Epoch: [2][5410/5809] Time 1.441 (0.530) Data 1.378 (0.456) Loss 3.0897 (3.1993) Prec@1 27.734 (26.130) Prec@5 60.938 (54.698) Epoch: [2][5420/5809] Time 0.990 (0.530) Data 0.931 (0.457) Loss 3.1087 (3.1992) Prec@1 30.078 (26.133) Prec@5 55.469 (54.701) Epoch: [2][5430/5809] Time 1.399 (0.531) Data 1.336 (0.458) Loss 3.1081 (3.1990) Prec@1 26.953 (26.135) Prec@5 58.594 (54.703) Epoch: [2][5440/5809] Time 0.851 (0.531) Data 0.792 (0.458) Loss 3.0750 (3.1988) Prec@1 27.344 (26.139) Prec@5 60.547 (54.707) Epoch: [2][5450/5809] Time 0.925 (0.532) Data 0.867 (0.458) Loss 3.0266 (3.1988) Prec@1 28.516 (26.140) Prec@5 58.594 (54.711) Epoch: [2][5460/5809] Time 1.543 (0.532) Data 1.485 (0.459) Loss 2.8854 (3.1985) Prec@1 32.422 (26.145) Prec@5 62.109 (54.715) Epoch: [2][5470/5809] Time 0.424 (0.533) Data 0.360 (0.459) Loss 3.1251 (3.1984) Prec@1 26.172 (26.148) Prec@5 53.125 (54.718) Epoch: [2][5480/5809] Time 1.244 (0.533) Data 1.181 (0.460) Loss 3.1023 (3.1982) Prec@1 26.172 (26.152) Prec@5 55.469 (54.723) Epoch: [2][5490/5809] Time 0.406 (0.533) Data 0.342 (0.460) Loss 3.1680 (3.1980) Prec@1 27.734 (26.154) Prec@5 58.203 (54.726) Epoch: [2][5500/5809] Time 1.920 (0.534) Data 1.856 (0.461) Loss 2.8754 (3.1978) Prec@1 32.422 (26.155) Prec@5 62.109 (54.732) Epoch: [2][5510/5809] Time 0.139 (0.534) Data 0.059 (0.461) Loss 3.1342 (3.1977) Prec@1 27.734 (26.156) Prec@5 57.812 (54.734) Epoch: [2][5520/5809] Time 1.882 (0.535) Data 1.821 (0.462) Loss 3.0721 (3.1976) Prec@1 30.859 (26.158) Prec@5 57.812 (54.737) Epoch: [2][5530/5809] Time 0.219 (0.535) Data 0.161 (0.462) Loss 3.2393 (3.1975) Prec@1 25.781 (26.160) Prec@5 52.734 (54.738) Epoch: [2][5540/5809] Time 1.162 (0.535) Data 1.103 (0.462) Loss 3.0567 (3.1973) Prec@1 28.516 (26.164) Prec@5 57.422 (54.742) Epoch: [2][5550/5809] Time 0.232 (0.536) Data 0.174 (0.462) Loss 3.0849 (3.1971) Prec@1 29.688 (26.167) Prec@5 55.859 (54.744) Epoch: [2][5560/5809] Time 1.090 (0.536) Data 1.021 (0.463) Loss 2.9664 (3.1970) Prec@1 29.297 (26.169) Prec@5 61.328 (54.748) Epoch: [2][5570/5809] Time 0.314 (0.536) Data 0.253 (0.463) Loss 3.1244 (3.1968) Prec@1 29.297 (26.174) Prec@5 57.422 (54.753) Epoch: [2][5580/5809] Time 1.355 (0.537) Data 1.291 (0.463) Loss 3.0205 (3.1966) Prec@1 29.297 (26.176) Prec@5 58.984 (54.757) Epoch: [2][5590/5809] Time 0.229 (0.537) Data 0.170 (0.463) Loss 3.2103 (3.1967) Prec@1 28.516 (26.178) Prec@5 54.297 (54.756) Epoch: [2][5600/5809] Time 1.493 (0.537) Data 1.434 (0.464) Loss 2.9750 (3.1965) Prec@1 27.734 (26.180) Prec@5 60.938 (54.759) Epoch: [2][5610/5809] Time 0.134 (0.537) Data 0.001 (0.464) Loss 3.1775 (3.1964) Prec@1 24.609 (26.180) Prec@5 55.078 (54.759) Epoch: [2][5620/5809] Time 1.421 (0.538) Data 1.361 (0.464) Loss 3.0702 (3.1962) Prec@1 26.953 (26.183) Prec@5 54.297 (54.761) Epoch: [2][5630/5809] Time 0.133 (0.538) Data 0.001 (0.464) Loss 3.0255 (3.1959) Prec@1 26.562 (26.188) Prec@5 59.766 (54.765) Epoch: [2][5640/5809] Time 1.161 (0.538) Data 1.099 (0.465) Loss 3.1425 (3.1957) Prec@1 25.781 (26.192) Prec@5 57.422 (54.767) Epoch: [2][5650/5809] Time 0.374 (0.538) Data 0.312 (0.465) Loss 3.2854 (3.1956) Prec@1 26.953 (26.194) Prec@5 51.953 (54.769) Epoch: [2][5660/5809] Time 1.173 (0.538) Data 1.115 (0.465) Loss 3.0418 (3.1955) Prec@1 27.734 (26.195) Prec@5 57.812 (54.772) Epoch: [2][5670/5809] Time 0.747 (0.539) Data 0.684 (0.465) Loss 3.0683 (3.1953) Prec@1 26.172 (26.198) Prec@5 53.125 (54.778) Epoch: [2][5680/5809] Time 1.715 (0.539) Data 1.651 (0.466) Loss 3.1330 (3.1952) Prec@1 29.297 (26.200) Prec@5 58.594 (54.779) Epoch: [2][5690/5809] Time 0.384 (0.539) Data 0.326 (0.466) Loss 3.2881 (3.1951) Prec@1 25.391 (26.204) Prec@5 53.516 (54.783) Epoch: [2][5700/5809] Time 1.094 (0.539) Data 1.036 (0.466) Loss 3.1651 (3.1948) Prec@1 27.344 (26.208) Prec@5 58.594 (54.786) Epoch: [2][5710/5809] Time 0.378 (0.540) Data 0.318 (0.467) Loss 3.1523 (3.1947) Prec@1 25.781 (26.209) Prec@5 54.297 (54.789) Epoch: [2][5720/5809] Time 0.454 (0.540) Data 0.394 (0.467) Loss 2.9132 (3.1945) Prec@1 32.422 (26.212) Prec@5 59.375 (54.792) Epoch: [2][5730/5809] Time 0.478 (0.540) Data 0.420 (0.467) Loss 3.0798 (3.1943) Prec@1 28.516 (26.215) Prec@5 53.125 (54.798) Epoch: [2][5740/5809] Time 0.133 (0.541) Data 0.001 (0.467) Loss 3.0567 (3.1941) Prec@1 28.906 (26.217) Prec@5 55.859 (54.804) Epoch: [2][5750/5809] Time 0.413 (0.541) Data 0.351 (0.468) Loss 3.2825 (3.1939) Prec@1 21.484 (26.219) Prec@5 52.344 (54.810) Epoch: [2][5760/5809] Time 0.230 (0.541) Data 0.170 (0.468) Loss 2.8300 (3.1938) Prec@1 33.984 (26.222) Prec@5 60.938 (54.812) Epoch: [2][5770/5809] Time 0.861 (0.541) Data 0.802 (0.468) Loss 3.2955 (3.1936) Prec@1 26.953 (26.227) Prec@5 52.734 (54.818) Epoch: [2][5780/5809] Time 0.951 (0.542) Data 0.887 (0.468) Loss 3.3064 (3.1935) Prec@1 27.734 (26.228) Prec@5 50.391 (54.821) Epoch: [2][5790/5809] Time 0.386 (0.542) Data 0.326 (0.469) Loss 3.1189 (3.1934) Prec@1 28.125 (26.232) Prec@5 55.859 (54.824) Epoch: [2][5800/5809] Time 0.636 (0.542) Data 0.577 (0.469) Loss 3.3122 (3.1934) Prec@1 26.562 (26.233) Prec@5 51.172 (54.823) Test: [0/143] Time 2.012 (2.012) Loss 2.1256 (2.1256) Prec@1 42.969 (42.969) Prec@5 79.688 (79.688) Test: [10/143] Time 0.290 (0.474) Loss 9.3844 (8.3970) Prec@1 0.000 (6.143) Prec@5 0.000 (13.601) Test: [20/143] Time 0.921 (0.445) Loss 9.8216 (9.1773) Prec@1 0.000 (3.292) Prec@5 0.391 (7.757) Test: [30/143] Time 0.056 (0.411) Loss 12.0082 (9.5971) Prec@1 0.000 (2.268) Prec@5 0.391 (5.557) Test: [40/143] Time 0.585 (0.411) Loss 10.2383 (9.6952) Prec@1 0.391 (1.763) Prec@5 0.781 (4.487) Test: [50/143] Time 0.056 (0.405) Loss 8.3592 (9.7376) Prec@1 0.391 (1.478) Prec@5 1.953 (4.634) Test: [60/143] Time 0.610 (0.397) Loss 10.7002 (9.8333) Prec@1 0.000 (1.249) Prec@5 1.172 (3.977) Test: [70/143] Time 0.059 (0.391) Loss 8.4395 (9.9180) Prec@1 0.000 (1.078) Prec@5 0.391 (3.505) Test: [80/143] Time 0.955 (0.393) Loss 7.8078 (9.8867) Prec@1 0.000 (0.984) Prec@5 1.562 (3.332) Test: [90/143] Time 0.056 (0.386) Loss 8.8820 (9.8169) Prec@1 0.000 (0.906) Prec@5 1.562 (3.112) Test: [100/143] Time 0.473 (0.386) Loss 10.2744 (9.7822) Prec@1 0.000 (0.835) Prec@5 0.391 (2.901) Test: [110/143] Time 0.309 (0.387) Loss 12.1688 (9.7858) Prec@1 0.000 (0.767) Prec@5 0.000 (2.780) Test: [120/143] Time 0.595 (0.386) Loss 13.8544 (9.8765) Prec@1 0.000 (0.723) Prec@5 0.000 (2.663) Test: [130/143] Time 0.060 (0.385) Loss 14.2011 (10.2830) Prec@1 0.000 (0.668) Prec@5 0.000 (2.460) Test: [140/143] Time 0.781 (0.386) Loss 15.3894 (10.5993) Prec@1 0.000 (0.621) Prec@5 0.000 (2.286) * Prec@1 0.614 Prec@5 2.261 Epoch: [3][0/5809] Time 3.432 (3.432) Data 3.267 (3.267) Loss 3.1051 (3.1051) Prec@1 23.828 (23.828) Prec@5 59.375 (59.375) Epoch: [3][10/5809] Time 0.164 (0.648) Data 0.103 (0.538) Loss 3.0652 (3.1642) Prec@1 29.688 (26.136) Prec@5 56.641 (55.504) Epoch: [3][20/5809] Time 1.596 (0.614) Data 1.529 (0.509) Loss 3.1827 (3.1281) Prec@1 24.219 (26.656) Prec@5 54.688 (56.213) Epoch: [3][30/5809] Time 0.132 (0.551) Data 0.001 (0.447) Loss 2.9903 (3.0856) Prec@1 30.859 (27.470) Prec@5 62.891 (57.359) Epoch: [3][40/5809] Time 1.482 (0.543) Data 1.420 (0.440) Loss 3.2529 (3.0962) Prec@1 29.297 (27.506) Prec@5 52.344 (57.127) Epoch: [3][50/5809] Time 0.133 (0.514) Data 0.043 (0.415) Loss 3.1805 (3.0960) Prec@1 22.656 (27.428) Prec@5 51.953 (57.138) Epoch: [3][60/5809] Time 1.292 (0.516) Data 1.232 (0.418) Loss 3.0563 (3.1004) Prec@1 28.516 (27.459) Prec@5 58.203 (56.986) Epoch: [3][70/5809] Time 0.176 (0.500) Data 0.111 (0.408) Loss 3.1283 (3.1082) Prec@1 28.125 (27.437) Prec@5 54.688 (56.905) Epoch: [3][80/5809] Time 1.228 (0.503) Data 1.170 (0.415) Loss 3.1628 (3.1034) Prec@1 26.953 (27.421) Prec@5 55.078 (56.862) Epoch: [3][90/5809] Time 0.133 (0.493) Data 0.068 (0.406) Loss 3.3464 (3.1031) Prec@1 25.391 (27.546) Prec@5 52.344 (56.838) Epoch: [3][100/5809] Time 1.528 (0.498) Data 1.470 (0.412) Loss 3.0211 (3.0984) Prec@1 32.031 (27.642) Prec@5 57.031 (56.935) Epoch: [3][110/5809] Time 0.129 (0.490) Data 0.045 (0.404) Loss 3.1405 (3.0937) Prec@1 26.172 (27.766) Prec@5 57.422 (57.070) Epoch: [3][120/5809] Time 1.045 (0.492) Data 0.986 (0.404) Loss 2.8500 (3.0903) Prec@1 37.891 (27.883) Prec@5 62.500 (57.076) Epoch: [3][130/5809] Time 0.133 (0.488) Data 0.001 (0.401) Loss 3.0422 (3.0862) Prec@1 26.562 (27.913) Prec@5 55.859 (57.186) Epoch: [3][140/5809] Time 0.352 (0.486) Data 0.293 (0.401) Loss 2.8601 (3.0892) Prec@1 33.203 (27.903) Prec@5 61.328 (57.103) Epoch: [3][150/5809] Time 0.134 (0.485) Data 0.001 (0.400) Loss 2.9747 (3.0863) Prec@1 33.984 (27.972) Prec@5 60.547 (57.176) Epoch: [3][160/5809] Time 0.231 (0.483) Data 0.171 (0.398) Loss 2.9192 (3.0831) Prec@1 33.984 (28.052) Prec@5 59.375 (57.218) Epoch: [3][170/5809] Time 0.318 (0.482) Data 0.259 (0.399) Loss 3.0090 (3.0868) Prec@1 28.125 (28.006) Prec@5 60.547 (57.125) Epoch: [3][180/5809] Time 0.747 (0.484) Data 0.682 (0.401) Loss 2.8354 (3.0852) Prec@1 32.422 (28.024) Prec@5 61.328 (57.156) Epoch: [3][190/5809] Time 0.233 (0.480) Data 0.174 (0.398) Loss 3.0338 (3.0838) Prec@1 29.688 (28.078) Prec@5 58.203 (57.131) Epoch: [3][200/5809] Time 1.056 (0.482) Data 0.988 (0.400) Loss 2.9950 (3.0856) Prec@1 29.297 (28.106) Prec@5 60.547 (57.064) Epoch: [3][210/5809] Time 0.135 (0.478) Data 0.001 (0.397) Loss 3.1695 (3.0838) Prec@1 23.828 (28.094) Prec@5 52.734 (57.139) Epoch: [3][220/5809] Time 0.686 (0.480) Data 0.627 (0.398) Loss 3.0411 (3.0825) Prec@1 31.250 (28.146) Prec@5 56.250 (57.171) Epoch: [3][230/5809] Time 0.133 (0.478) Data 0.001 (0.397) Loss 2.9771 (3.0857) Prec@1 32.812 (28.095) Prec@5 58.594 (57.134) Epoch: [3][240/5809] Time 0.663 (0.480) Data 0.597 (0.400) Loss 3.2031 (3.0872) Prec@1 28.125 (28.094) Prec@5 54.297 (57.065) Epoch: [3][250/5809] Time 0.158 (0.478) Data 0.098 (0.398) Loss 2.9491 (3.0871) Prec@1 28.125 (28.100) Prec@5 58.984 (57.089) Epoch: [3][260/5809] Time 0.598 (0.478) Data 0.540 (0.399) Loss 3.0123 (3.0850) Prec@1 29.297 (28.158) Prec@5 60.938 (57.138) Epoch: [3][270/5809] Time 0.133 (0.478) Data 0.001 (0.399) Loss 3.0707 (3.0853) Prec@1 29.688 (28.141) Prec@5 58.594 (57.187) Epoch: [3][280/5809] Time 0.288 (0.476) Data 0.229 (0.398) Loss 3.1473 (3.0863) Prec@1 23.828 (28.089) Prec@5 54.688 (57.149) Epoch: [3][290/5809] Time 0.367 (0.476) Data 0.307 (0.399) Loss 2.9710 (3.0882) Prec@1 25.781 (28.039) Prec@5 62.500 (57.137) Epoch: [3][300/5809] Time 0.134 (0.475) Data 0.001 (0.397) Loss 3.1453 (3.0881) Prec@1 28.125 (28.020) Prec@5 56.250 (57.130) Epoch: [3][310/5809] Time 0.134 (0.476) Data 0.001 (0.398) Loss 3.0428 (3.0876) Prec@1 29.297 (28.018) Prec@5 56.641 (57.130) Epoch: [3][320/5809] Time 0.329 (0.474) Data 0.270 (0.397) Loss 3.1155 (3.0893) Prec@1 26.562 (28.007) Prec@5 60.156 (57.110) Epoch: [3][330/5809] Time 0.127 (0.474) Data 0.052 (0.396) Loss 2.9118 (3.0882) Prec@1 30.078 (27.995) Prec@5 62.891 (57.126) Epoch: [3][340/5809] Time 0.133 (0.473) Data 0.047 (0.396) Loss 3.0290 (3.0892) Prec@1 27.344 (27.962) Prec@5 59.766 (57.114) Epoch: [3][350/5809] Time 0.343 (0.473) Data 0.284 (0.396) Loss 3.1233 (3.0876) Prec@1 31.641 (28.022) Prec@5 53.125 (57.130) Epoch: [3][360/5809] Time 0.308 (0.473) Data 0.246 (0.396) Loss 3.2315 (3.0862) Prec@1 24.219 (28.045) Prec@5 55.469 (57.181) Epoch: [3][370/5809] Time 0.880 (0.473) Data 0.821 (0.396) Loss 2.8922 (3.0839) Prec@1 29.297 (28.063) Prec@5 60.547 (57.232) Epoch: [3][380/5809] Time 0.490 (0.472) Data 0.431 (0.396) Loss 2.9857 (3.0841) Prec@1 27.734 (28.046) Prec@5 55.469 (57.220) Epoch: [3][390/5809] Time 0.696 (0.472) Data 0.638 (0.395) Loss 3.1049 (3.0852) Prec@1 28.125 (28.016) Prec@5 56.250 (57.174) Epoch: [3][400/5809] Time 0.420 (0.471) Data 0.361 (0.395) Loss 2.8135 (3.0850) Prec@1 33.203 (28.030) Prec@5 66.016 (57.193) Epoch: [3][410/5809] Time 0.353 (0.470) Data 0.294 (0.393) Loss 3.1403 (3.0835) Prec@1 31.250 (28.097) Prec@5 55.078 (57.201) Epoch: [3][420/5809] Time 0.455 (0.471) Data 0.394 (0.395) Loss 3.2804 (3.0831) Prec@1 21.484 (28.083) Prec@5 52.734 (57.207) Epoch: [3][430/5809] Time 0.132 (0.469) Data 0.001 (0.392) Loss 2.9452 (3.0834) Prec@1 30.859 (28.081) Prec@5 59.766 (57.178) Epoch: [3][440/5809] Time 0.173 (0.469) Data 0.114 (0.392) Loss 3.0736 (3.0837) Prec@1 28.516 (28.073) Prec@5 56.641 (57.176) Epoch: [3][450/5809] Time 0.134 (0.467) Data 0.001 (0.390) Loss 3.0011 (3.0836) Prec@1 30.469 (28.074) Prec@5 55.469 (57.180) Epoch: [3][460/5809] Time 0.886 (0.469) Data 0.822 (0.392) Loss 2.9555 (3.0843) Prec@1 28.125 (28.056) Prec@5 58.594 (57.172) Epoch: [3][470/5809] Time 0.134 (0.467) Data 0.001 (0.390) Loss 2.9763 (3.0838) Prec@1 33.594 (28.084) Prec@5 54.297 (57.171) Epoch: [3][480/5809] Time 0.413 (0.468) Data 0.354 (0.391) Loss 2.9913 (3.0834) Prec@1 32.812 (28.097) Prec@5 58.594 (57.190) Epoch: [3][490/5809] Time 0.166 (0.466) Data 0.108 (0.389) Loss 3.0316 (3.0836) Prec@1 30.469 (28.104) Prec@5 60.547 (57.198) Epoch: [3][500/5809] Time 0.645 (0.467) Data 0.586 (0.390) Loss 3.1634 (3.0828) Prec@1 25.391 (28.095) Prec@5 56.641 (57.211) Epoch: [3][510/5809] Time 0.214 (0.465) Data 0.149 (0.389) Loss 2.9597 (3.0818) Prec@1 26.562 (28.101) Prec@5 60.156 (57.207) Epoch: [3][520/5809] Time 0.895 (0.466) Data 0.831 (0.390) Loss 3.0038 (3.0815) Prec@1 30.469 (28.100) Prec@5 57.812 (57.201) Epoch: [3][530/5809] Time 0.183 (0.464) Data 0.116 (0.388) Loss 3.0146 (3.0808) Prec@1 35.938 (28.135) Prec@5 56.641 (57.212) Epoch: [3][540/5809] Time 0.968 (0.465) Data 0.908 (0.389) Loss 3.1180 (3.0809) Prec@1 30.078 (28.134) Prec@5 56.250 (57.198) Epoch: [3][550/5809] Time 0.134 (0.464) Data 0.001 (0.388) Loss 3.0584 (3.0815) Prec@1 28.125 (28.144) Prec@5 57.812 (57.177) Epoch: [3][560/5809] Time 0.950 (0.465) Data 0.892 (0.389) Loss 3.0829 (3.0818) Prec@1 28.516 (28.135) Prec@5 57.031 (57.189) Epoch: [3][570/5809] Time 0.133 (0.464) Data 0.047 (0.388) Loss 2.8846 (3.0815) Prec@1 33.984 (28.163) Prec@5 62.109 (57.204) Epoch: [3][580/5809] Time 0.982 (0.464) Data 0.913 (0.388) Loss 3.1716 (3.0821) Prec@1 27.344 (28.143) Prec@5 56.250 (57.191) Epoch: [3][590/5809] Time 0.158 (0.463) Data 0.098 (0.387) Loss 3.1364 (3.0822) Prec@1 30.078 (28.153) Prec@5 54.297 (57.181) Epoch: [3][600/5809] Time 0.847 (0.463) Data 0.788 (0.388) Loss 3.2092 (3.0826) Prec@1 27.734 (28.149) Prec@5 57.422 (57.172) Epoch: [3][610/5809] Time 0.161 (0.462) Data 0.099 (0.387) Loss 3.1915 (3.0829) Prec@1 26.953 (28.142) Prec@5 57.031 (57.166) Epoch: [3][620/5809] Time 0.754 (0.462) Data 0.695 (0.387) Loss 3.0176 (3.0828) Prec@1 31.641 (28.147) Prec@5 57.812 (57.181) Epoch: [3][630/5809] Time 0.496 (0.462) Data 0.437 (0.386) Loss 3.0349 (3.0825) Prec@1 27.734 (28.157) Prec@5 57.812 (57.166) Epoch: [3][640/5809] Time 0.538 (0.462) Data 0.479 (0.386) Loss 3.0239 (3.0833) Prec@1 28.906 (28.140) Prec@5 55.469 (57.142) Epoch: [3][650/5809] Time 0.489 (0.462) Data 0.426 (0.386) Loss 3.0931 (3.0849) Prec@1 31.641 (28.126) Prec@5 57.422 (57.109) Epoch: [3][660/5809] Time 0.561 (0.461) Data 0.502 (0.386) Loss 3.1373 (3.0859) Prec@1 31.641 (28.121) Prec@5 55.859 (57.083) Epoch: [3][670/5809] Time 0.410 (0.461) Data 0.351 (0.386) Loss 3.0738 (3.0857) Prec@1 29.297 (28.118) Prec@5 59.766 (57.097) Epoch: [3][680/5809] Time 0.127 (0.460) Data 0.047 (0.386) Loss 3.0062 (3.0858) Prec@1 33.203 (28.123) Prec@5 58.203 (57.098) Epoch: [3][690/5809] Time 0.454 (0.460) Data 0.395 (0.386) Loss 3.2255 (3.0864) Prec@1 25.000 (28.109) Prec@5 50.781 (57.076) Epoch: [3][700/5809] Time 0.153 (0.460) Data 0.094 (0.385) Loss 2.9570 (3.0859) Prec@1 34.766 (28.109) Prec@5 60.156 (57.087) Epoch: [3][710/5809] Time 0.468 (0.460) Data 0.408 (0.386) Loss 3.0965 (3.0860) Prec@1 25.000 (28.112) Prec@5 57.812 (57.108) Epoch: [3][720/5809] Time 0.130 (0.459) Data 0.047 (0.384) Loss 3.0650 (3.0860) Prec@1 27.344 (28.108) Prec@5 53.906 (57.114) Epoch: [3][730/5809] Time 0.161 (0.459) Data 0.091 (0.385) Loss 3.2617 (3.0859) Prec@1 23.438 (28.113) Prec@5 50.781 (57.108) Epoch: [3][740/5809] Time 0.134 (0.458) Data 0.001 (0.383) Loss 2.9078 (3.0852) Prec@1 32.422 (28.138) Prec@5 61.328 (57.121) Epoch: [3][750/5809] Time 0.198 (0.459) Data 0.138 (0.384) Loss 3.0939 (3.0854) Prec@1 29.297 (28.152) Prec@5 56.641 (57.122) Epoch: [3][760/5809] Time 0.216 (0.458) Data 0.156 (0.382) Loss 2.9447 (3.0854) Prec@1 30.859 (28.151) Prec@5 60.547 (57.120) Epoch: [3][770/5809] Time 0.142 (0.458) Data 0.001 (0.382) Loss 3.1786 (3.0849) Prec@1 25.391 (28.161) Prec@5 53.516 (57.123) Epoch: [3][780/5809] Time 0.256 (0.458) Data 0.196 (0.382) Loss 3.1207 (3.0851) Prec@1 28.516 (28.140) Prec@5 53.906 (57.116) Epoch: [3][790/5809] Time 0.162 (0.458) Data 0.098 (0.382) Loss 3.0421 (3.0858) Prec@1 28.125 (28.119) Prec@5 58.984 (57.103) Epoch: [3][800/5809] Time 0.528 (0.457) Data 0.468 (0.382) Loss 3.0485 (3.0860) Prec@1 28.516 (28.123) Prec@5 57.031 (57.091) Epoch: [3][810/5809] Time 0.182 (0.458) Data 0.122 (0.382) Loss 3.0280 (3.0862) Prec@1 27.734 (28.128) Prec@5 57.812 (57.084) Epoch: [3][820/5809] Time 0.579 (0.457) Data 0.520 (0.381) Loss 3.1437 (3.0864) Prec@1 27.344 (28.113) Prec@5 56.641 (57.081) Epoch: [3][830/5809] Time 0.134 (0.457) Data 0.001 (0.381) Loss 3.2094 (3.0856) Prec@1 26.562 (28.129) Prec@5 52.344 (57.095) Epoch: [3][840/5809] Time 0.683 (0.457) Data 0.624 (0.381) Loss 3.0682 (3.0858) Prec@1 30.469 (28.125) Prec@5 61.328 (57.100) Epoch: [3][850/5809] Time 0.747 (0.457) Data 0.688 (0.382) Loss 2.7888 (3.0851) Prec@1 30.859 (28.124) Prec@5 65.625 (57.121) Epoch: [3][860/5809] Time 0.438 (0.457) Data 0.379 (0.381) Loss 3.2862 (3.0857) Prec@1 23.047 (28.105) Prec@5 52.734 (57.100) Epoch: [3][870/5809] Time 0.422 (0.456) Data 0.360 (0.381) Loss 3.0187 (3.0856) Prec@1 31.250 (28.103) Prec@5 57.812 (57.099) Epoch: [3][880/5809] Time 0.367 (0.456) Data 0.308 (0.381) Loss 3.2318 (3.0860) Prec@1 30.078 (28.103) Prec@5 56.250 (57.096) Epoch: [3][890/5809] Time 0.135 (0.456) Data 0.049 (0.381) Loss 3.0758 (3.0861) Prec@1 25.781 (28.102) Prec@5 58.594 (57.097) Epoch: [3][900/5809] Time 0.149 (0.456) Data 0.087 (0.380) Loss 3.1314 (3.0870) Prec@1 26.172 (28.083) Prec@5 51.562 (57.068) Epoch: [3][910/5809] Time 0.381 (0.456) Data 0.322 (0.381) Loss 3.0770 (3.0869) Prec@1 25.391 (28.083) Prec@5 53.906 (57.066) Epoch: [3][920/5809] Time 0.126 (0.456) Data 0.047 (0.381) Loss 3.1854 (3.0870) Prec@1 26.172 (28.089) Prec@5 57.031 (57.066) Epoch: [3][930/5809] Time 0.315 (0.456) Data 0.255 (0.380) Loss 3.2321 (3.0873) Prec@1 26.562 (28.086) Prec@5 54.297 (57.064) Epoch: [3][940/5809] Time 0.132 (0.455) Data 0.001 (0.380) Loss 3.0820 (3.0872) Prec@1 28.516 (28.086) Prec@5 55.469 (57.062) Epoch: [3][950/5809] Time 0.173 (0.455) Data 0.110 (0.380) Loss 3.1188 (3.0863) Prec@1 26.953 (28.091) Prec@5 56.641 (57.084) Epoch: [3][960/5809] Time 0.233 (0.455) Data 0.173 (0.380) Loss 3.2265 (3.0862) Prec@1 25.391 (28.086) Prec@5 53.125 (57.079) Epoch: [3][970/5809] Time 0.242 (0.455) Data 0.182 (0.380) Loss 3.1513 (3.0860) Prec@1 25.781 (28.087) Prec@5 56.250 (57.085) Epoch: [3][980/5809] Time 0.237 (0.455) Data 0.174 (0.380) Loss 3.0761 (3.0856) Prec@1 22.266 (28.087) Prec@5 58.203 (57.101) Epoch: [3][990/5809] Time 0.571 (0.455) Data 0.512 (0.380) Loss 3.0709 (3.0854) Prec@1 29.297 (28.102) Prec@5 58.984 (57.103) Epoch: [3][1000/5809] Time 0.369 (0.455) Data 0.302 (0.380) Loss 2.9871 (3.0855) Prec@1 30.078 (28.099) Prec@5 59.375 (57.095) Epoch: [3][1010/5809] Time 0.207 (0.455) Data 0.142 (0.380) Loss 2.9270 (3.0860) Prec@1 30.469 (28.085) Prec@5 59.375 (57.078) Epoch: [3][1020/5809] Time 0.134 (0.454) Data 0.001 (0.380) Loss 3.0706 (3.0863) Prec@1 28.125 (28.087) Prec@5 54.297 (57.071) Epoch: [3][1030/5809] Time 0.134 (0.454) Data 0.001 (0.380) Loss 2.9173 (3.0857) Prec@1 35.156 (28.107) Prec@5 61.719 (57.090) Epoch: [3][1040/5809] Time 0.731 (0.454) Data 0.671 (0.380) Loss 3.1106 (3.0856) Prec@1 28.125 (28.110) Prec@5 58.203 (57.086) Epoch: [3][1050/5809] Time 0.425 (0.454) Data 0.366 (0.379) Loss 3.0022 (3.0852) Prec@1 30.859 (28.106) Prec@5 55.469 (57.096) Epoch: [3][1060/5809] Time 0.933 (0.454) Data 0.874 (0.380) Loss 3.0962 (3.0851) Prec@1 32.031 (28.109) Prec@5 58.594 (57.096) Epoch: [3][1070/5809] Time 0.398 (0.454) Data 0.338 (0.379) Loss 3.2120 (3.0854) Prec@1 25.781 (28.100) Prec@5 52.344 (57.087) Epoch: [3][1080/5809] Time 0.897 (0.454) Data 0.832 (0.379) Loss 3.0694 (3.0856) Prec@1 29.688 (28.098) Prec@5 57.031 (57.085) Epoch: [3][1090/5809] Time 0.405 (0.454) Data 0.346 (0.379) Loss 3.1322 (3.0855) Prec@1 25.391 (28.100) Prec@5 58.984 (57.098) Epoch: [3][1100/5809] Time 1.130 (0.454) Data 1.071 (0.379) Loss 2.9525 (3.0849) Prec@1 30.078 (28.110) Prec@5 57.031 (57.104) Epoch: [3][1110/5809] Time 0.244 (0.453) Data 0.186 (0.378) Loss 3.1059 (3.0844) Prec@1 30.078 (28.123) Prec@5 55.469 (57.111) Epoch: [3][1120/5809] Time 1.042 (0.453) Data 0.984 (0.378) Loss 3.2500 (3.0840) Prec@1 25.000 (28.127) Prec@5 53.125 (57.122) Epoch: [3][1130/5809] Time 0.134 (0.453) Data 0.001 (0.378) Loss 3.2611 (3.0836) Prec@1 28.125 (28.126) Prec@5 52.344 (57.127) Epoch: [3][1140/5809] Time 0.543 (0.452) Data 0.483 (0.378) Loss 3.2661 (3.0840) Prec@1 23.828 (28.120) Prec@5 50.000 (57.120) Epoch: [3][1150/5809] Time 0.134 (0.452) Data 0.001 (0.378) Loss 2.9711 (3.0840) Prec@1 29.297 (28.113) Prec@5 60.547 (57.118) Epoch: [3][1160/5809] Time 0.564 (0.453) Data 0.505 (0.378) Loss 2.8681 (3.0840) Prec@1 32.031 (28.116) Prec@5 63.281 (57.121) Epoch: [3][1170/5809] Time 0.392 (0.453) Data 0.333 (0.378) Loss 3.0902 (3.0842) Prec@1 29.297 (28.121) Prec@5 56.250 (57.126) Epoch: [3][1180/5809] Time 0.132 (0.452) Data 0.001 (0.378) Loss 2.8699 (3.0839) Prec@1 35.938 (28.131) Prec@5 61.719 (57.125) Epoch: [3][1190/5809] Time 0.133 (0.453) Data 0.049 (0.378) Loss 2.9560 (3.0840) Prec@1 30.859 (28.131) Prec@5 61.719 (57.121) Epoch: [3][1200/5809] Time 0.133 (0.452) Data 0.001 (0.377) Loss 2.9453 (3.0834) Prec@1 32.422 (28.147) Prec@5 58.594 (57.131) Epoch: [3][1210/5809] Time 0.492 (0.452) Data 0.431 (0.377) Loss 3.1244 (3.0833) Prec@1 25.391 (28.149) Prec@5 53.516 (57.130) Epoch: [3][1220/5809] Time 0.132 (0.452) Data 0.001 (0.377) Loss 3.0209 (3.0828) Prec@1 30.078 (28.157) Prec@5 57.812 (57.144) Epoch: [3][1230/5809] Time 0.133 (0.452) Data 0.045 (0.377) Loss 2.8499 (3.0828) Prec@1 32.812 (28.163) Prec@5 60.156 (57.148) Epoch: [3][1240/5809] Time 0.133 (0.452) Data 0.001 (0.377) Loss 3.0449 (3.0822) Prec@1 32.422 (28.178) Prec@5 58.594 (57.160) Epoch: [3][1250/5809] Time 0.266 (0.452) Data 0.207 (0.377) Loss 3.0855 (3.0822) Prec@1 28.906 (28.188) Prec@5 57.422 (57.166) Epoch: [3][1260/5809] Time 0.133 (0.452) Data 0.001 (0.377) Loss 3.0616 (3.0821) Prec@1 30.078 (28.186) Prec@5 55.859 (57.173) Epoch: [3][1270/5809] Time 0.427 (0.452) Data 0.369 (0.377) Loss 3.0213 (3.0814) Prec@1 26.953 (28.200) Prec@5 58.203 (57.179) Epoch: [3][1280/5809] Time 0.133 (0.451) Data 0.001 (0.376) Loss 2.7878 (3.0807) Prec@1 35.156 (28.215) Prec@5 59.375 (57.184) Epoch: [3][1290/5809] Time 0.269 (0.451) Data 0.209 (0.376) Loss 2.8178 (3.0797) Prec@1 33.594 (28.227) Prec@5 59.375 (57.203) Epoch: [3][1300/5809] Time 0.404 (0.451) Data 0.344 (0.376) Loss 2.9413 (3.0797) Prec@1 28.516 (28.225) Prec@5 60.156 (57.204) Epoch: [3][1310/5809] Time 0.133 (0.452) Data 0.001 (0.376) Loss 3.0577 (3.0798) Prec@1 29.297 (28.220) Prec@5 54.688 (57.203) Epoch: [3][1320/5809] Time 0.133 (0.451) Data 0.063 (0.376) Loss 3.2712 (3.0798) Prec@1 28.516 (28.220) Prec@5 55.078 (57.205) Epoch: [3][1330/5809] Time 0.232 (0.451) Data 0.173 (0.376) Loss 2.8960 (3.0794) Prec@1 26.562 (28.219) Prec@5 63.281 (57.225) Epoch: [3][1340/5809] Time 0.133 (0.451) Data 0.001 (0.375) Loss 2.9631 (3.0794) Prec@1 30.078 (28.208) Prec@5 56.641 (57.222) Epoch: [3][1350/5809] Time 0.523 (0.451) Data 0.460 (0.376) Loss 3.1205 (3.0797) Prec@1 28.125 (28.200) Prec@5 51.953 (57.206) Epoch: [3][1360/5809] Time 0.134 (0.451) Data 0.048 (0.375) Loss 3.1532 (3.0798) Prec@1 28.125 (28.202) Prec@5 55.469 (57.193) Epoch: [3][1370/5809] Time 0.646 (0.451) Data 0.588 (0.376) Loss 3.0326 (3.0801) Prec@1 31.250 (28.198) Prec@5 62.109 (57.196) Epoch: [3][1380/5809] Time 0.134 (0.451) Data 0.001 (0.375) Loss 3.0906 (3.0798) Prec@1 29.688 (28.201) Prec@5 56.641 (57.203) Epoch: [3][1390/5809] Time 0.196 (0.451) Data 0.137 (0.375) Loss 3.1999 (3.0792) Prec@1 26.953 (28.211) Prec@5 53.906 (57.213) Epoch: [3][1400/5809] Time 0.145 (0.451) Data 0.084 (0.375) Loss 3.0609 (3.0788) Prec@1 30.469 (28.212) Prec@5 58.594 (57.222) Epoch: [3][1410/5809] Time 0.231 (0.451) Data 0.172 (0.375) Loss 3.0850 (3.0788) Prec@1 26.172 (28.216) Prec@5 58.594 (57.225) Epoch: [3][1420/5809] Time 0.445 (0.451) Data 0.381 (0.375) Loss 3.1011 (3.0787) Prec@1 24.219 (28.213) Prec@5 60.547 (57.232) Epoch: [3][1430/5809] Time 0.568 (0.451) Data 0.509 (0.375) Loss 3.0421 (3.0784) Prec@1 29.688 (28.215) Prec@5 57.031 (57.235) Epoch: [3][1440/5809] Time 0.610 (0.451) Data 0.550 (0.375) Loss 2.9218 (3.0781) Prec@1 29.297 (28.225) Prec@5 60.156 (57.246) Epoch: [3][1450/5809] Time 1.023 (0.451) Data 0.962 (0.376) Loss 3.0973 (3.0777) Prec@1 24.219 (28.234) Prec@5 53.125 (57.256) Epoch: [3][1460/5809] Time 0.359 (0.451) Data 0.300 (0.375) Loss 2.9662 (3.0772) Prec@1 30.859 (28.250) Prec@5 57.031 (57.265) Epoch: [3][1470/5809] Time 0.829 (0.451) Data 0.756 (0.375) Loss 3.1149 (3.0774) Prec@1 29.688 (28.246) Prec@5 50.391 (57.261) Epoch: [3][1480/5809] Time 0.566 (0.451) Data 0.507 (0.375) Loss 3.1312 (3.0772) Prec@1 30.469 (28.245) Prec@5 56.250 (57.265) Epoch: [3][1490/5809] Time 0.700 (0.451) Data 0.636 (0.375) Loss 2.8483 (3.0770) Prec@1 34.375 (28.262) Prec@5 60.156 (57.267) Epoch: [3][1500/5809] Time 0.571 (0.451) Data 0.507 (0.375) Loss 3.0840 (3.0771) Prec@1 31.250 (28.264) Prec@5 58.203 (57.269) Epoch: [3][1510/5809] Time 0.487 (0.451) Data 0.425 (0.375) Loss 2.8295 (3.0763) Prec@1 31.641 (28.271) Prec@5 67.188 (57.291) Epoch: [3][1520/5809] Time 0.785 (0.451) Data 0.725 (0.376) Loss 3.3411 (3.0763) Prec@1 25.781 (28.276) Prec@5 52.734 (57.291) Epoch: [3][1530/5809] Time 0.257 (0.451) Data 0.198 (0.375) Loss 3.0029 (3.0759) Prec@1 29.688 (28.285) Prec@5 57.812 (57.303) Epoch: [3][1540/5809] Time 0.826 (0.451) Data 0.762 (0.376) Loss 3.0644 (3.0759) Prec@1 27.344 (28.282) Prec@5 62.891 (57.308) Epoch: [3][1550/5809] Time 0.196 (0.451) Data 0.131 (0.376) Loss 3.0662 (3.0758) Prec@1 24.219 (28.275) Prec@5 56.250 (57.312) Epoch: [3][1560/5809] Time 0.803 (0.451) Data 0.742 (0.376) Loss 3.0427 (3.0759) Prec@1 28.125 (28.270) Prec@5 60.938 (57.312) Epoch: [3][1570/5809] Time 0.137 (0.451) Data 0.078 (0.376) Loss 3.0607 (3.0762) Prec@1 30.859 (28.265) Prec@5 60.938 (57.311) Epoch: [3][1580/5809] Time 0.473 (0.451) Data 0.414 (0.376) Loss 3.1292 (3.0765) Prec@1 27.734 (28.256) Prec@5 56.641 (57.302) Epoch: [3][1590/5809] Time 0.142 (0.451) Data 0.001 (0.376) Loss 3.0130 (3.0761) Prec@1 23.828 (28.255) Prec@5 58.203 (57.308) Epoch: [3][1600/5809] Time 0.246 (0.451) Data 0.188 (0.376) Loss 2.7969 (3.0761) Prec@1 33.594 (28.257) Prec@5 66.406 (57.306) Epoch: [3][1610/5809] Time 0.156 (0.451) Data 0.091 (0.376) Loss 2.9042 (3.0756) Prec@1 31.250 (28.256) Prec@5 57.812 (57.316) Epoch: [3][1620/5809] Time 0.231 (0.451) Data 0.172 (0.376) Loss 2.9761 (3.0760) Prec@1 32.031 (28.249) Prec@5 59.375 (57.306) Epoch: [3][1630/5809] Time 0.139 (0.451) Data 0.046 (0.376) Loss 3.0188 (3.0758) Prec@1 27.734 (28.253) Prec@5 60.156 (57.312) Epoch: [3][1640/5809] Time 0.245 (0.451) Data 0.185 (0.376) Loss 2.8082 (3.0753) Prec@1 33.203 (28.261) Prec@5 63.281 (57.323) Epoch: [3][1650/5809] Time 0.188 (0.451) Data 0.129 (0.376) Loss 3.0413 (3.0751) Prec@1 28.125 (28.267) Prec@5 60.938 (57.332) Epoch: [3][1660/5809] Time 0.328 (0.451) Data 0.269 (0.376) Loss 3.1427 (3.0750) Prec@1 32.422 (28.276) Prec@5 55.859 (57.332) Epoch: [3][1670/5809] Time 0.164 (0.451) Data 0.105 (0.376) Loss 2.9739 (3.0751) Prec@1 30.469 (28.273) Prec@5 57.031 (57.334) Epoch: [3][1680/5809] Time 0.186 (0.451) Data 0.123 (0.376) Loss 3.1246 (3.0755) Prec@1 32.031 (28.268) Prec@5 59.375 (57.327) Epoch: [3][1690/5809] Time 0.508 (0.451) Data 0.445 (0.376) Loss 3.1053 (3.0755) Prec@1 30.469 (28.272) Prec@5 61.719 (57.332) Epoch: [3][1700/5809] Time 0.183 (0.451) Data 0.124 (0.376) Loss 3.1163 (3.0751) Prec@1 27.344 (28.282) Prec@5 55.859 (57.341) Epoch: [3][1710/5809] Time 0.161 (0.451) Data 0.100 (0.376) Loss 3.1610 (3.0752) Prec@1 27.344 (28.283) Prec@5 53.516 (57.338) Epoch: [3][1720/5809] Time 0.538 (0.451) Data 0.477 (0.376) Loss 2.9230 (3.0750) Prec@1 27.734 (28.292) Prec@5 59.375 (57.341) Epoch: [3][1730/5809] Time 0.133 (0.452) Data 0.001 (0.376) Loss 3.0229 (3.0746) Prec@1 27.344 (28.301) Prec@5 59.375 (57.346) Epoch: [3][1740/5809] Time 0.391 (0.451) Data 0.326 (0.376) Loss 2.9573 (3.0744) Prec@1 32.031 (28.312) Prec@5 58.594 (57.351) Epoch: [3][1750/5809] Time 0.206 (0.452) Data 0.147 (0.376) Loss 2.9204 (3.0745) Prec@1 36.719 (28.320) Prec@5 62.891 (57.349) Epoch: [3][1760/5809] Time 0.371 (0.451) Data 0.312 (0.376) Loss 3.1462 (3.0741) Prec@1 26.953 (28.326) Prec@5 55.078 (57.358) Epoch: [3][1770/5809] Time 0.342 (0.451) Data 0.284 (0.376) Loss 3.2752 (3.0738) Prec@1 25.391 (28.332) Prec@5 54.688 (57.370) Epoch: [3][1780/5809] Time 0.486 (0.451) Data 0.428 (0.376) Loss 3.1199 (3.0735) Prec@1 26.953 (28.338) Prec@5 55.469 (57.376) Epoch: [3][1790/5809] Time 0.157 (0.451) Data 0.099 (0.376) Loss 3.2467 (3.0732) Prec@1 25.391 (28.340) Prec@5 58.594 (57.382) Epoch: [3][1800/5809] Time 0.212 (0.451) Data 0.152 (0.376) Loss 3.0870 (3.0729) Prec@1 28.906 (28.342) Prec@5 57.031 (57.381) Epoch: [3][1810/5809] Time 0.398 (0.452) Data 0.338 (0.376) Loss 2.9453 (3.0726) Prec@1 30.078 (28.353) Prec@5 59.375 (57.388) Epoch: [3][1820/5809] Time 0.133 (0.451) Data 0.001 (0.376) Loss 3.1717 (3.0724) Prec@1 28.125 (28.356) Prec@5 54.688 (57.389) Epoch: [3][1830/5809] Time 0.254 (0.451) Data 0.195 (0.376) Loss 3.0653 (3.0722) Prec@1 26.172 (28.359) Prec@5 51.562 (57.391) Epoch: [3][1840/5809] Time 0.133 (0.452) Data 0.001 (0.376) Loss 3.0503 (3.0721) Prec@1 23.828 (28.354) Prec@5 57.422 (57.391) Epoch: [3][1850/5809] Time 0.385 (0.451) Data 0.325 (0.376) Loss 2.9824 (3.0720) Prec@1 28.906 (28.353) Prec@5 60.938 (57.392) Epoch: [3][1860/5809] Time 0.598 (0.451) Data 0.540 (0.376) Loss 3.1173 (3.0719) Prec@1 29.688 (28.361) Prec@5 56.250 (57.394) Epoch: [3][1870/5809] Time 0.132 (0.451) Data 0.001 (0.376) Loss 3.2057 (3.0718) Prec@1 29.688 (28.361) Prec@5 54.297 (57.396) Epoch: [3][1880/5809] Time 0.884 (0.452) Data 0.825 (0.377) Loss 3.1150 (3.0715) Prec@1 24.609 (28.367) Prec@5 54.297 (57.396) Epoch: [3][1890/5809] Time 0.233 (0.451) Data 0.174 (0.377) Loss 3.1071 (3.0715) Prec@1 28.516 (28.364) Prec@5 57.422 (57.396) Epoch: [3][1900/5809] Time 0.695 (0.451) Data 0.635 (0.376) Loss 2.9502 (3.0714) Prec@1 29.297 (28.360) Prec@5 59.375 (57.399) Epoch: [3][1910/5809] Time 0.134 (0.451) Data 0.001 (0.376) Loss 3.2331 (3.0714) Prec@1 24.609 (28.364) Prec@5 53.516 (57.403) Epoch: [3][1920/5809] Time 0.643 (0.451) Data 0.580 (0.376) Loss 3.0133 (3.0715) Prec@1 30.078 (28.366) Prec@5 60.938 (57.402) Epoch: [3][1930/5809] Time 0.131 (0.451) Data 0.042 (0.376) Loss 2.9517 (3.0714) Prec@1 28.516 (28.369) Prec@5 60.156 (57.401) Epoch: [3][1940/5809] Time 0.453 (0.451) Data 0.394 (0.376) Loss 2.9616 (3.0714) Prec@1 27.344 (28.365) Prec@5 58.984 (57.401) Epoch: [3][1950/5809] Time 0.322 (0.451) Data 0.264 (0.376) Loss 2.9128 (3.0714) Prec@1 28.516 (28.361) Prec@5 57.031 (57.397) Epoch: [3][1960/5809] Time 0.514 (0.451) Data 0.455 (0.376) Loss 3.0714 (3.0713) Prec@1 30.078 (28.365) Prec@5 55.859 (57.401) Epoch: [3][1970/5809] Time 0.134 (0.451) Data 0.059 (0.376) Loss 2.8870 (3.0708) Prec@1 31.250 (28.372) Prec@5 60.938 (57.413) Epoch: [3][1980/5809] Time 0.467 (0.451) Data 0.404 (0.376) Loss 3.1655 (3.0708) Prec@1 29.688 (28.374) Prec@5 52.734 (57.406) Epoch: [3][1990/5809] Time 0.259 (0.451) Data 0.200 (0.376) Loss 3.0104 (3.0705) Prec@1 25.000 (28.373) Prec@5 60.156 (57.408) Epoch: [3][2000/5809] Time 0.840 (0.451) Data 0.777 (0.376) Loss 2.8677 (3.0703) Prec@1 30.078 (28.374) Prec@5 63.281 (57.411) Epoch: [3][2010/5809] Time 0.135 (0.451) Data 0.001 (0.376) Loss 3.0957 (3.0700) Prec@1 27.344 (28.378) Prec@5 55.469 (57.419) Epoch: [3][2020/5809] Time 1.158 (0.451) Data 1.099 (0.376) Loss 2.9737 (3.0699) Prec@1 30.859 (28.385) Prec@5 57.422 (57.421) Epoch: [3][2030/5809] Time 0.133 (0.451) Data 0.049 (0.376) Loss 3.1837 (3.0697) Prec@1 26.562 (28.384) Prec@5 51.172 (57.422) Epoch: [3][2040/5809] Time 1.168 (0.451) Data 1.110 (0.376) Loss 3.1120 (3.0698) Prec@1 28.906 (28.376) Prec@5 62.109 (57.426) Epoch: [3][2050/5809] Time 0.139 (0.451) Data 0.001 (0.375) Loss 2.9841 (3.0698) Prec@1 31.250 (28.375) Prec@5 59.375 (57.423) Epoch: [3][2060/5809] Time 1.156 (0.451) Data 1.092 (0.375) Loss 3.1501 (3.0697) Prec@1 24.609 (28.377) Prec@5 56.250 (57.425) Epoch: [3][2070/5809] Time 0.137 (0.451) Data 0.073 (0.375) Loss 3.1204 (3.0699) Prec@1 28.906 (28.376) Prec@5 55.859 (57.428) Epoch: [3][2080/5809] Time 1.180 (0.451) Data 1.113 (0.375) Loss 3.0276 (3.0701) Prec@1 30.078 (28.372) Prec@5 58.203 (57.421) Epoch: [3][2090/5809] Time 0.133 (0.451) Data 0.052 (0.375) Loss 3.1199 (3.0700) Prec@1 27.734 (28.377) Prec@5 57.031 (57.425) Epoch: [3][2100/5809] Time 1.003 (0.451) Data 0.943 (0.375) Loss 2.9546 (3.0699) Prec@1 30.859 (28.383) Prec@5 56.250 (57.425) Epoch: [3][2110/5809] Time 0.371 (0.451) Data 0.310 (0.375) Loss 2.9947 (3.0698) Prec@1 28.906 (28.385) Prec@5 58.203 (57.427) Epoch: [3][2120/5809] Time 1.010 (0.451) Data 0.950 (0.375) Loss 3.2459 (3.0697) Prec@1 24.609 (28.385) Prec@5 54.688 (57.428) Epoch: [3][2130/5809] Time 0.392 (0.451) Data 0.331 (0.375) Loss 2.9562 (3.0697) Prec@1 28.906 (28.391) Prec@5 60.156 (57.430) Epoch: [3][2140/5809] Time 0.774 (0.451) Data 0.715 (0.375) Loss 3.0431 (3.0698) Prec@1 28.906 (28.394) Prec@5 58.594 (57.428) Epoch: [3][2150/5809] Time 0.134 (0.451) Data 0.040 (0.375) Loss 3.1020 (3.0693) Prec@1 28.125 (28.398) Prec@5 57.422 (57.439) Epoch: [3][2160/5809] Time 0.596 (0.451) Data 0.534 (0.375) Loss 3.0918 (3.0694) Prec@1 30.078 (28.395) Prec@5 57.422 (57.441) Epoch: [3][2170/5809] Time 0.292 (0.451) Data 0.232 (0.375) Loss 2.9337 (3.0694) Prec@1 31.250 (28.397) Prec@5 59.375 (57.440) Epoch: [3][2180/5809] Time 0.134 (0.451) Data 0.001 (0.375) Loss 3.0965 (3.0695) Prec@1 26.953 (28.393) Prec@5 57.422 (57.441) Epoch: [3][2190/5809] Time 0.287 (0.451) Data 0.227 (0.375) Loss 3.0126 (3.0690) Prec@1 31.641 (28.405) Prec@5 55.859 (57.448) Epoch: [3][2200/5809] Time 0.444 (0.451) Data 0.384 (0.376) Loss 3.0328 (3.0687) Prec@1 27.734 (28.411) Prec@5 55.469 (57.447) Epoch: [3][2210/5809] Time 0.132 (0.451) Data 0.001 (0.375) Loss 3.1292 (3.0687) Prec@1 27.344 (28.412) Prec@5 56.641 (57.451) Epoch: [3][2220/5809] Time 0.375 (0.450) Data 0.315 (0.375) Loss 2.9796 (3.0686) Prec@1 27.734 (28.413) Prec@5 57.031 (57.454) Epoch: [3][2230/5809] Time 0.167 (0.450) Data 0.107 (0.375) Loss 3.1183 (3.0687) Prec@1 27.344 (28.412) Prec@5 56.250 (57.453) Epoch: [3][2240/5809] Time 0.851 (0.450) Data 0.791 (0.375) Loss 3.0488 (3.0682) Prec@1 26.953 (28.420) Prec@5 59.375 (57.462) Epoch: [3][2250/5809] Time 0.242 (0.450) Data 0.183 (0.375) Loss 3.2034 (3.0682) Prec@1 25.781 (28.421) Prec@5 54.297 (57.466) Epoch: [3][2260/5809] Time 0.653 (0.450) Data 0.595 (0.375) Loss 3.0676 (3.0684) Prec@1 28.125 (28.414) Prec@5 57.422 (57.462) Epoch: [3][2270/5809] Time 0.231 (0.450) Data 0.173 (0.375) Loss 3.2532 (3.0683) Prec@1 25.781 (28.415) Prec@5 52.344 (57.462) Epoch: [3][2280/5809] Time 0.955 (0.451) Data 0.895 (0.376) Loss 3.1799 (3.0683) Prec@1 26.172 (28.413) Prec@5 55.078 (57.463) Epoch: [3][2290/5809] Time 0.133 (0.451) Data 0.045 (0.376) Loss 2.9377 (3.0686) Prec@1 28.516 (28.402) Prec@5 58.203 (57.455) Epoch: [3][2300/5809] Time 1.258 (0.452) Data 1.199 (0.377) Loss 2.8291 (3.0682) Prec@1 36.328 (28.409) Prec@5 64.844 (57.467) Epoch: [3][2310/5809] Time 0.309 (0.452) Data 0.251 (0.377) Loss 2.9332 (3.0682) Prec@1 25.781 (28.410) Prec@5 58.594 (57.467) Epoch: [3][2320/5809] Time 1.046 (0.452) Data 0.984 (0.377) Loss 2.9171 (3.0681) Prec@1 31.250 (28.409) Prec@5 64.062 (57.470) Epoch: [3][2330/5809] Time 0.199 (0.452) Data 0.140 (0.377) Loss 3.2358 (3.0680) Prec@1 28.516 (28.414) Prec@5 56.250 (57.473) Epoch: [3][2340/5809] Time 0.667 (0.452) Data 0.603 (0.377) Loss 2.9245 (3.0678) Prec@1 33.203 (28.417) Prec@5 62.891 (57.477) Epoch: [3][2350/5809] Time 0.131 (0.452) Data 0.001 (0.377) Loss 3.0969 (3.0676) Prec@1 28.906 (28.422) Prec@5 58.203 (57.485) Epoch: [3][2360/5809] Time 0.267 (0.451) Data 0.208 (0.376) Loss 3.0204 (3.0673) Prec@1 28.125 (28.424) Prec@5 55.469 (57.489) Epoch: [3][2370/5809] Time 0.132 (0.451) Data 0.042 (0.376) Loss 2.9927 (3.0672) Prec@1 33.203 (28.432) Prec@5 58.594 (57.492) Epoch: [3][2380/5809] Time 0.521 (0.451) Data 0.462 (0.376) Loss 3.0588 (3.0671) Prec@1 30.469 (28.432) Prec@5 57.812 (57.495) Epoch: [3][2390/5809] Time 0.132 (0.451) Data 0.047 (0.376) Loss 2.8926 (3.0667) Prec@1 33.984 (28.441) Prec@5 60.156 (57.502) Epoch: [3][2400/5809] Time 0.591 (0.451) Data 0.530 (0.376) Loss 3.0089 (3.0668) Prec@1 27.344 (28.442) Prec@5 58.594 (57.502) Epoch: [3][2410/5809] Time 0.268 (0.451) Data 0.205 (0.376) Loss 3.0500 (3.0669) Prec@1 29.688 (28.446) Prec@5 56.641 (57.499) Epoch: [3][2420/5809] Time 1.086 (0.451) Data 1.022 (0.376) Loss 3.2204 (3.0669) Prec@1 25.781 (28.446) Prec@5 53.516 (57.499) Epoch: [3][2430/5809] Time 0.433 (0.451) Data 0.374 (0.376) Loss 3.3202 (3.0669) Prec@1 29.688 (28.450) Prec@5 51.562 (57.498) Epoch: [3][2440/5809] Time 0.961 (0.451) Data 0.902 (0.376) Loss 3.1990 (3.0668) Prec@1 24.609 (28.454) Prec@5 51.172 (57.498) Epoch: [3][2450/5809] Time 0.339 (0.451) Data 0.278 (0.376) Loss 2.9584 (3.0669) Prec@1 33.984 (28.455) Prec@5 59.375 (57.495) Epoch: [3][2460/5809] Time 1.087 (0.451) Data 1.028 (0.376) Loss 2.8869 (3.0666) Prec@1 30.078 (28.458) Prec@5 64.453 (57.506) Epoch: [3][2470/5809] Time 0.338 (0.451) Data 0.278 (0.376) Loss 3.2708 (3.0665) Prec@1 29.688 (28.460) Prec@5 51.172 (57.501) Epoch: [3][2480/5809] Time 0.888 (0.451) Data 0.829 (0.376) Loss 2.9182 (3.0664) Prec@1 28.125 (28.459) Prec@5 60.938 (57.504) Epoch: [3][2490/5809] Time 0.131 (0.451) Data 0.042 (0.376) Loss 3.1604 (3.0663) Prec@1 24.609 (28.459) Prec@5 54.688 (57.510) Epoch: [3][2500/5809] Time 1.046 (0.451) Data 0.987 (0.376) Loss 3.0686 (3.0662) Prec@1 25.781 (28.459) Prec@5 57.422 (57.508) Epoch: [3][2510/5809] Time 0.141 (0.451) Data 0.001 (0.376) Loss 3.0026 (3.0658) Prec@1 30.859 (28.469) Prec@5 57.812 (57.517) Epoch: [3][2520/5809] Time 1.367 (0.451) Data 1.301 (0.376) Loss 2.9606 (3.0657) Prec@1 30.859 (28.469) Prec@5 58.984 (57.519) Epoch: [3][2530/5809] Time 0.131 (0.451) Data 0.049 (0.376) Loss 2.8467 (3.0654) Prec@1 26.562 (28.470) Prec@5 65.234 (57.525) Epoch: [3][2540/5809] Time 1.069 (0.451) Data 1.009 (0.376) Loss 3.1387 (3.0654) Prec@1 26.562 (28.470) Prec@5 54.688 (57.524) Epoch: [3][2550/5809] Time 0.133 (0.451) Data 0.001 (0.376) Loss 3.0044 (3.0654) Prec@1 28.906 (28.469) Prec@5 60.547 (57.523) Epoch: [3][2560/5809] Time 1.020 (0.451) Data 0.956 (0.376) Loss 2.8485 (3.0654) Prec@1 33.594 (28.468) Prec@5 60.547 (57.521) Epoch: [3][2570/5809] Time 0.133 (0.451) Data 0.044 (0.375) Loss 3.0926 (3.0656) Prec@1 29.297 (28.469) Prec@5 59.375 (57.521) Epoch: [3][2580/5809] Time 1.255 (0.451) Data 1.190 (0.376) Loss 3.0571 (3.0655) Prec@1 33.203 (28.476) Prec@5 55.859 (57.520) Epoch: [3][2590/5809] Time 0.133 (0.451) Data 0.001 (0.375) Loss 3.0829 (3.0656) Prec@1 29.688 (28.474) Prec@5 60.156 (57.521) Epoch: [3][2600/5809] Time 1.278 (0.451) Data 1.209 (0.376) Loss 3.0073 (3.0652) Prec@1 32.812 (28.482) Prec@5 54.297 (57.527) Epoch: [3][2610/5809] Time 0.127 (0.451) Data 0.048 (0.375) Loss 2.8516 (3.0651) Prec@1 32.812 (28.477) Prec@5 64.453 (57.529) Epoch: [3][2620/5809] Time 1.476 (0.451) Data 1.411 (0.375) Loss 2.9167 (3.0647) Prec@1 34.375 (28.487) Prec@5 61.719 (57.539) Epoch: [3][2630/5809] Time 0.133 (0.451) Data 0.001 (0.375) Loss 3.1405 (3.0644) Prec@1 30.469 (28.496) Prec@5 58.984 (57.545) Epoch: [3][2640/5809] Time 1.079 (0.451) Data 1.017 (0.375) Loss 3.0945 (3.0643) Prec@1 25.391 (28.500) Prec@5 58.203 (57.547) Epoch: [3][2650/5809] Time 0.141 (0.451) Data 0.001 (0.375) Loss 3.1062 (3.0641) Prec@1 24.219 (28.503) Prec@5 55.078 (57.553) Epoch: [3][2660/5809] Time 1.153 (0.451) Data 1.094 (0.375) Loss 2.9811 (3.0640) Prec@1 26.953 (28.505) Prec@5 58.594 (57.554) Epoch: [3][2670/5809] Time 0.340 (0.451) Data 0.278 (0.375) Loss 3.0817 (3.0638) Prec@1 25.781 (28.510) Prec@5 58.594 (57.559) Epoch: [3][2680/5809] Time 0.271 (0.451) Data 0.212 (0.375) Loss 3.2070 (3.0639) Prec@1 27.344 (28.507) Prec@5 56.641 (57.556) Epoch: [3][2690/5809] Time 0.133 (0.450) Data 0.001 (0.375) Loss 2.6776 (3.0637) Prec@1 33.984 (28.507) Prec@5 64.062 (57.563) Epoch: [3][2700/5809] Time 0.278 (0.451) Data 0.219 (0.375) Loss 3.0750 (3.0635) Prec@1 25.781 (28.513) Prec@5 54.297 (57.567) Epoch: [3][2710/5809] Time 0.921 (0.450) Data 0.856 (0.375) Loss 2.9833 (3.0633) Prec@1 28.906 (28.516) Prec@5 58.984 (57.574) Epoch: [3][2720/5809] Time 0.253 (0.450) Data 0.194 (0.375) Loss 2.8785 (3.0634) Prec@1 33.984 (28.515) Prec@5 62.500 (57.573) Epoch: [3][2730/5809] Time 1.079 (0.451) Data 1.014 (0.375) Loss 3.0924 (3.0633) Prec@1 28.906 (28.518) Prec@5 53.906 (57.572) Epoch: [3][2740/5809] Time 0.496 (0.451) Data 0.430 (0.375) Loss 3.1019 (3.0632) Prec@1 30.078 (28.523) Prec@5 54.297 (57.575) Epoch: [3][2750/5809] Time 0.133 (0.451) Data 0.058 (0.375) Loss 2.9065 (3.0632) Prec@1 30.469 (28.520) Prec@5 62.109 (57.574) Epoch: [3][2760/5809] Time 0.717 (0.451) Data 0.657 (0.376) Loss 3.2165 (3.0631) Prec@1 26.562 (28.519) Prec@5 58.203 (57.580) Epoch: [3][2770/5809] Time 0.136 (0.451) Data 0.001 (0.375) Loss 3.1086 (3.0631) Prec@1 30.078 (28.519) Prec@5 55.859 (57.582) Epoch: [3][2780/5809] Time 0.668 (0.451) Data 0.600 (0.376) Loss 3.0299 (3.0631) Prec@1 28.906 (28.516) Prec@5 62.109 (57.584) Epoch: [3][2790/5809] Time 0.221 (0.451) Data 0.162 (0.375) Loss 3.0351 (3.0627) Prec@1 28.516 (28.520) Prec@5 57.422 (57.593) Epoch: [3][2800/5809] Time 1.090 (0.451) Data 1.030 (0.376) Loss 3.0697 (3.0626) Prec@1 27.734 (28.520) Prec@5 60.547 (57.593) Epoch: [3][2810/5809] Time 0.134 (0.451) Data 0.044 (0.376) Loss 3.0608 (3.0624) Prec@1 26.172 (28.517) Prec@5 55.078 (57.597) Epoch: [3][2820/5809] Time 1.182 (0.451) Data 1.123 (0.376) Loss 2.8401 (3.0622) Prec@1 32.031 (28.522) Prec@5 59.766 (57.601) Epoch: [3][2830/5809] Time 0.133 (0.451) Data 0.046 (0.375) Loss 2.8854 (3.0620) Prec@1 29.297 (28.521) Prec@5 62.500 (57.607) Epoch: [3][2840/5809] Time 1.036 (0.451) Data 0.977 (0.376) Loss 2.9884 (3.0619) Prec@1 29.297 (28.519) Prec@5 57.812 (57.608) Epoch: [3][2850/5809] Time 0.132 (0.451) Data 0.044 (0.375) Loss 2.9138 (3.0620) Prec@1 29.688 (28.519) Prec@5 62.500 (57.610) Epoch: [3][2860/5809] Time 1.031 (0.451) Data 0.966 (0.376) Loss 3.3042 (3.0619) Prec@1 28.516 (28.521) Prec@5 53.516 (57.609) Epoch: [3][2870/5809] Time 0.132 (0.451) Data 0.001 (0.376) Loss 3.0766 (3.0619) Prec@1 25.781 (28.521) Prec@5 58.203 (57.610) Epoch: [3][2880/5809] Time 1.269 (0.451) Data 1.208 (0.376) Loss 3.1424 (3.0617) Prec@1 23.047 (28.521) Prec@5 57.422 (57.619) Epoch: [3][2890/5809] Time 0.133 (0.451) Data 0.001 (0.376) Loss 2.9938 (3.0617) Prec@1 30.078 (28.521) Prec@5 57.422 (57.620) Epoch: [3][2900/5809] Time 0.801 (0.451) Data 0.742 (0.375) Loss 3.0088 (3.0617) Prec@1 29.688 (28.521) Prec@5 59.375 (57.620) Epoch: [3][2910/5809] Time 0.299 (0.451) Data 0.236 (0.376) Loss 2.9768 (3.0618) Prec@1 28.516 (28.521) Prec@5 57.422 (57.614) Epoch: [3][2920/5809] Time 0.626 (0.451) Data 0.560 (0.376) Loss 3.2858 (3.0619) Prec@1 25.781 (28.517) Prec@5 48.438 (57.609) Epoch: [3][2930/5809] Time 0.361 (0.451) Data 0.303 (0.376) Loss 3.0592 (3.0622) Prec@1 32.031 (28.513) Prec@5 57.812 (57.602) Epoch: [3][2940/5809] Time 0.446 (0.451) Data 0.387 (0.376) Loss 2.8961 (3.0620) Prec@1 32.031 (28.512) Prec@5 59.766 (57.603) Epoch: [3][2950/5809] Time 0.427 (0.451) Data 0.364 (0.376) Loss 2.9190 (3.0619) Prec@1 27.734 (28.511) Prec@5 58.594 (57.606) Epoch: [3][2960/5809] Time 0.570 (0.451) Data 0.511 (0.376) Loss 3.2027 (3.0619) Prec@1 26.562 (28.510) Prec@5 52.734 (57.606) Epoch: [3][2970/5809] Time 0.133 (0.451) Data 0.001 (0.376) Loss 3.1122 (3.0618) Prec@1 26.172 (28.510) Prec@5 53.906 (57.609) Epoch: [3][2980/5809] Time 0.685 (0.451) Data 0.627 (0.376) Loss 3.0412 (3.0618) Prec@1 30.469 (28.511) Prec@5 56.641 (57.608) Epoch: [3][2990/5809] Time 0.213 (0.451) Data 0.155 (0.376) Loss 3.0002 (3.0618) Prec@1 29.297 (28.514) Prec@5 57.422 (57.609) Epoch: [3][3000/5809] Time 0.649 (0.451) Data 0.589 (0.376) Loss 3.1476 (3.0616) Prec@1 26.172 (28.519) Prec@5 53.906 (57.618) Epoch: [3][3010/5809] Time 0.436 (0.451) Data 0.378 (0.376) Loss 2.7837 (3.0615) Prec@1 34.766 (28.520) Prec@5 64.453 (57.619) Epoch: [3][3020/5809] Time 0.617 (0.451) Data 0.558 (0.376) Loss 2.9167 (3.0615) Prec@1 33.203 (28.520) Prec@5 60.547 (57.619) Epoch: [3][3030/5809] Time 0.134 (0.451) Data 0.044 (0.376) Loss 2.9981 (3.0614) Prec@1 32.422 (28.520) Prec@5 60.156 (57.622) Epoch: [3][3040/5809] Time 0.578 (0.451) Data 0.517 (0.376) Loss 2.8622 (3.0613) Prec@1 30.859 (28.525) Prec@5 63.281 (57.624) Epoch: [3][3050/5809] Time 0.141 (0.451) Data 0.001 (0.376) Loss 2.7033 (3.0609) Prec@1 32.031 (28.533) Prec@5 67.969 (57.634) Epoch: [3][3060/5809] Time 0.728 (0.451) Data 0.669 (0.376) Loss 3.4359 (3.0608) Prec@1 25.000 (28.533) Prec@5 48.047 (57.638) Epoch: [3][3070/5809] Time 0.569 (0.451) Data 0.510 (0.376) Loss 2.9046 (3.0607) Prec@1 33.203 (28.535) Prec@5 64.844 (57.641) Epoch: [3][3080/5809] Time 0.309 (0.451) Data 0.250 (0.376) Loss 3.2052 (3.0606) Prec@1 28.516 (28.536) Prec@5 56.641 (57.643) Epoch: [3][3090/5809] Time 0.134 (0.451) Data 0.001 (0.376) Loss 3.0430 (3.0603) Prec@1 26.172 (28.538) Prec@5 58.203 (57.650) Epoch: [3][3100/5809] Time 0.538 (0.451) Data 0.478 (0.376) Loss 3.1411 (3.0602) Prec@1 26.953 (28.541) Prec@5 56.250 (57.651) Epoch: [3][3110/5809] Time 0.233 (0.451) Data 0.174 (0.376) Loss 2.9763 (3.0602) Prec@1 29.297 (28.541) Prec@5 61.328 (57.653) Epoch: [3][3120/5809] Time 0.453 (0.451) Data 0.391 (0.376) Loss 2.9264 (3.0601) Prec@1 28.125 (28.545) Prec@5 63.281 (57.657) Epoch: [3][3130/5809] Time 0.470 (0.451) Data 0.410 (0.376) Loss 3.1954 (3.0601) Prec@1 23.828 (28.544) Prec@5 51.562 (57.655) Epoch: [3][3140/5809] Time 0.134 (0.451) Data 0.001 (0.376) Loss 3.1546 (3.0598) Prec@1 29.297 (28.551) Prec@5 51.562 (57.657) Epoch: [3][3150/5809] Time 0.235 (0.451) Data 0.177 (0.376) Loss 2.9717 (3.0598) Prec@1 32.031 (28.556) Prec@5 58.984 (57.658) Epoch: [3][3160/5809] Time 0.536 (0.451) Data 0.470 (0.376) Loss 2.8460 (3.0597) Prec@1 33.984 (28.556) Prec@5 63.281 (57.661) Epoch: [3][3170/5809] Time 0.133 (0.451) Data 0.001 (0.376) Loss 2.9535 (3.0594) Prec@1 30.078 (28.562) Prec@5 66.016 (57.670) Epoch: [3][3180/5809] Time 0.156 (0.451) Data 0.097 (0.376) Loss 2.9765 (3.0593) Prec@1 33.594 (28.565) Prec@5 59.766 (57.669) Epoch: [3][3190/5809] Time 0.539 (0.451) Data 0.481 (0.376) Loss 3.1687 (3.0594) Prec@1 28.906 (28.566) Prec@5 55.078 (57.667) Epoch: [3][3200/5809] Time 0.383 (0.451) Data 0.323 (0.376) Loss 3.0481 (3.0592) Prec@1 30.469 (28.570) Prec@5 57.812 (57.670) Epoch: [3][3210/5809] Time 0.662 (0.451) Data 0.602 (0.376) Loss 3.1072 (3.0591) Prec@1 28.125 (28.576) Prec@5 57.422 (57.674) Epoch: [3][3220/5809] Time 0.133 (0.451) Data 0.046 (0.376) Loss 2.9619 (3.0591) Prec@1 30.859 (28.575) Prec@5 57.422 (57.675) Epoch: [3][3230/5809] Time 0.505 (0.451) Data 0.447 (0.376) Loss 3.1616 (3.0590) Prec@1 25.391 (28.573) Prec@5 53.125 (57.674) Epoch: [3][3240/5809] Time 0.440 (0.451) Data 0.381 (0.376) Loss 3.1777 (3.0590) Prec@1 25.391 (28.568) Prec@5 55.469 (57.676) Epoch: [3][3250/5809] Time 0.323 (0.451) Data 0.260 (0.376) Loss 2.8338 (3.0590) Prec@1 30.078 (28.565) Prec@5 61.719 (57.675) Epoch: [3][3260/5809] Time 0.138 (0.451) Data 0.079 (0.376) Loss 3.0552 (3.0589) Prec@1 29.297 (28.569) Prec@5 60.547 (57.677) Epoch: [3][3270/5809] Time 0.176 (0.451) Data 0.117 (0.376) Loss 3.0335 (3.0588) Prec@1 24.609 (28.568) Prec@5 60.156 (57.675) Epoch: [3][3280/5809] Time 0.133 (0.451) Data 0.001 (0.377) Loss 3.1688 (3.0588) Prec@1 25.000 (28.568) Prec@5 55.469 (57.674) Epoch: [3][3290/5809] Time 0.132 (0.451) Data 0.045 (0.376) Loss 2.9421 (3.0587) Prec@1 28.125 (28.567) Prec@5 58.984 (57.676) Epoch: [3][3300/5809] Time 0.317 (0.451) Data 0.257 (0.377) Loss 3.0107 (3.0587) Prec@1 30.078 (28.570) Prec@5 60.156 (57.679) Epoch: [3][3310/5809] Time 0.133 (0.451) Data 0.001 (0.377) Loss 3.1922 (3.0587) Prec@1 27.344 (28.568) Prec@5 53.516 (57.678) Epoch: [3][3320/5809] Time 0.133 (0.451) Data 0.045 (0.377) Loss 3.2186 (3.0588) Prec@1 25.000 (28.570) Prec@5 53.125 (57.676) Epoch: [3][3330/5809] Time 0.299 (0.451) Data 0.239 (0.377) Loss 3.0208 (3.0589) Prec@1 28.125 (28.565) Prec@5 57.812 (57.674) Epoch: [3][3340/5809] Time 0.257 (0.451) Data 0.199 (0.377) Loss 3.0915 (3.0589) Prec@1 29.688 (28.567) Prec@5 57.422 (57.675) Epoch: [3][3350/5809] Time 0.145 (0.451) Data 0.082 (0.377) Loss 3.0640 (3.0589) Prec@1 23.828 (28.566) Prec@5 58.594 (57.672) Epoch: [3][3360/5809] Time 0.304 (0.451) Data 0.245 (0.377) Loss 2.9099 (3.0591) Prec@1 33.594 (28.563) Prec@5 61.719 (57.669) Epoch: [3][3370/5809] Time 0.224 (0.451) Data 0.165 (0.377) Loss 2.8950 (3.0590) Prec@1 30.078 (28.565) Prec@5 60.156 (57.669) Epoch: [3][3380/5809] Time 0.141 (0.451) Data 0.001 (0.377) Loss 2.8127 (3.0587) Prec@1 32.031 (28.570) Prec@5 62.891 (57.674) Epoch: [3][3390/5809] Time 0.213 (0.451) Data 0.154 (0.377) Loss 3.1912 (3.0586) Prec@1 30.078 (28.570) Prec@5 55.469 (57.680) Epoch: [3][3400/5809] Time 0.269 (0.451) Data 0.210 (0.377) Loss 2.8045 (3.0584) Prec@1 33.984 (28.575) Prec@5 60.938 (57.683) Epoch: [3][3410/5809] Time 0.180 (0.451) Data 0.116 (0.377) Loss 2.9235 (3.0583) Prec@1 29.297 (28.578) Prec@5 60.547 (57.688) Epoch: [3][3420/5809] Time 0.547 (0.452) Data 0.481 (0.377) Loss 2.9078 (3.0581) Prec@1 31.641 (28.578) Prec@5 55.078 (57.688) Epoch: [3][3430/5809] Time 0.132 (0.451) Data 0.001 (0.377) Loss 2.8715 (3.0577) Prec@1 33.984 (28.588) Prec@5 60.938 (57.693) Epoch: [3][3440/5809] Time 0.135 (0.452) Data 0.075 (0.377) Loss 3.0481 (3.0576) Prec@1 26.562 (28.588) Prec@5 57.422 (57.697) Epoch: [3][3450/5809] Time 0.188 (0.451) Data 0.128 (0.377) Loss 2.7544 (3.0576) Prec@1 34.375 (28.589) Prec@5 65.234 (57.697) Epoch: [3][3460/5809] Time 0.180 (0.452) Data 0.116 (0.377) Loss 2.9141 (3.0576) Prec@1 32.031 (28.588) Prec@5 61.719 (57.700) Epoch: [3][3470/5809] Time 0.134 (0.452) Data 0.001 (0.377) Loss 3.1022 (3.0575) Prec@1 28.906 (28.591) Prec@5 58.594 (57.700) Epoch: [3][3480/5809] Time 0.133 (0.452) Data 0.001 (0.377) Loss 3.1369 (3.0575) Prec@1 30.078 (28.592) Prec@5 58.984 (57.703) Epoch: [3][3490/5809] Time 0.134 (0.452) Data 0.001 (0.377) Loss 3.0458 (3.0574) Prec@1 27.344 (28.592) Prec@5 58.984 (57.709) Epoch: [3][3500/5809] Time 0.587 (0.452) Data 0.528 (0.377) Loss 3.0276 (3.0574) Prec@1 25.781 (28.590) Prec@5 58.203 (57.707) Epoch: [3][3510/5809] Time 0.133 (0.452) Data 0.043 (0.377) Loss 3.0931 (3.0573) Prec@1 30.859 (28.592) Prec@5 60.547 (57.705) Epoch: [3][3520/5809] Time 0.388 (0.452) Data 0.324 (0.377) Loss 2.9157 (3.0574) Prec@1 35.156 (28.594) Prec@5 58.984 (57.704) Epoch: [3][3530/5809] Time 0.408 (0.452) Data 0.349 (0.377) Loss 2.9231 (3.0572) Prec@1 32.422 (28.598) Prec@5 63.672 (57.707) Epoch: [3][3540/5809] Time 0.321 (0.452) Data 0.262 (0.377) Loss 3.0846 (3.0572) Prec@1 26.953 (28.601) Prec@5 56.641 (57.709) Epoch: [3][3550/5809] Time 0.751 (0.452) Data 0.691 (0.377) Loss 2.9994 (3.0572) Prec@1 30.078 (28.598) Prec@5 57.812 (57.707) Epoch: [3][3560/5809] Time 0.153 (0.452) Data 0.094 (0.377) Loss 3.1212 (3.0571) Prec@1 30.859 (28.601) Prec@5 56.250 (57.709) Epoch: [3][3570/5809] Time 0.530 (0.452) Data 0.472 (0.377) Loss 3.2028 (3.0569) Prec@1 25.391 (28.602) Prec@5 55.859 (57.710) Epoch: [3][3580/5809] Time 0.138 (0.452) Data 0.001 (0.377) Loss 3.0255 (3.0570) Prec@1 25.781 (28.601) Prec@5 55.469 (57.707) Epoch: [3][3590/5809] Time 0.133 (0.452) Data 0.001 (0.377) Loss 2.9049 (3.0569) Prec@1 31.250 (28.604) Prec@5 60.938 (57.710) Epoch: [3][3600/5809] Time 0.133 (0.452) Data 0.047 (0.377) Loss 3.1976 (3.0568) Prec@1 30.859 (28.606) Prec@5 53.125 (57.713) Epoch: [3][3610/5809] Time 0.286 (0.452) Data 0.227 (0.377) Loss 2.9683 (3.0566) Prec@1 32.812 (28.609) Prec@5 61.328 (57.715) Epoch: [3][3620/5809] Time 0.133 (0.452) Data 0.001 (0.377) Loss 2.8762 (3.0565) Prec@1 26.953 (28.613) Prec@5 64.844 (57.719) Epoch: [3][3630/5809] Time 0.986 (0.452) Data 0.926 (0.377) Loss 2.9590 (3.0565) Prec@1 31.250 (28.612) Prec@5 62.500 (57.720) Epoch: [3][3640/5809] Time 0.384 (0.452) Data 0.324 (0.377) Loss 2.8952 (3.0563) Prec@1 32.031 (28.617) Prec@5 60.156 (57.726) Epoch: [3][3650/5809] Time 0.968 (0.452) Data 0.909 (0.377) Loss 2.9465 (3.0562) Prec@1 25.000 (28.619) Prec@5 59.375 (57.730) Epoch: [3][3660/5809] Time 0.133 (0.452) Data 0.061 (0.377) Loss 3.0222 (3.0561) Prec@1 30.078 (28.620) Prec@5 61.328 (57.733) Epoch: [3][3670/5809] Time 0.134 (0.453) Data 0.001 (0.378) Loss 3.0816 (3.0559) Prec@1 22.656 (28.619) Prec@5 56.641 (57.734) Epoch: [3][3680/5809] Time 0.133 (0.453) Data 0.001 (0.378) Loss 2.8835 (3.0559) Prec@1 32.812 (28.618) Prec@5 62.500 (57.738) Epoch: [3][3690/5809] Time 0.133 (0.453) Data 0.060 (0.378) Loss 2.8600 (3.0556) Prec@1 29.688 (28.622) Prec@5 58.203 (57.743) Epoch: [3][3700/5809] Time 0.364 (0.453) Data 0.304 (0.378) Loss 2.7380 (3.0554) Prec@1 32.812 (28.626) Prec@5 66.797 (57.749) Epoch: [3][3710/5809] Time 0.238 (0.453) Data 0.171 (0.378) Loss 2.9873 (3.0553) Prec@1 26.562 (28.625) Prec@5 58.984 (57.750) Epoch: [3][3720/5809] Time 0.459 (0.453) Data 0.398 (0.378) Loss 3.0857 (3.0553) Prec@1 28.906 (28.623) Prec@5 53.906 (57.749) Epoch: [3][3730/5809] Time 0.133 (0.453) Data 0.001 (0.378) Loss 2.9904 (3.0553) Prec@1 31.250 (28.626) Prec@5 60.156 (57.750) Epoch: [3][3740/5809] Time 0.401 (0.453) Data 0.343 (0.378) Loss 2.8437 (3.0552) Prec@1 30.859 (28.630) Prec@5 62.109 (57.751) Epoch: [3][3750/5809] Time 0.133 (0.453) Data 0.001 (0.378) Loss 3.0828 (3.0549) Prec@1 25.781 (28.633) Prec@5 58.594 (57.756) Epoch: [3][3760/5809] Time 0.133 (0.453) Data 0.001 (0.378) Loss 2.9150 (3.0548) Prec@1 30.859 (28.634) Prec@5 60.156 (57.756) Epoch: [3][3770/5809] Time 0.132 (0.453) Data 0.046 (0.378) Loss 2.8475 (3.0548) Prec@1 28.906 (28.634) Prec@5 56.641 (57.758) Epoch: [3][3780/5809] Time 0.888 (0.453) Data 0.825 (0.378) Loss 3.0304 (3.0547) Prec@1 25.781 (28.632) Prec@5 56.250 (57.757) Epoch: [3][3790/5809] Time 0.133 (0.453) Data 0.001 (0.378) Loss 2.9811 (3.0545) Prec@1 30.469 (28.637) Prec@5 58.594 (57.763) Epoch: [3][3800/5809] Time 0.833 (0.453) Data 0.773 (0.378) Loss 3.3364 (3.0545) Prec@1 25.781 (28.636) Prec@5 51.562 (57.764) Epoch: [3][3810/5809] Time 0.133 (0.453) Data 0.001 (0.378) Loss 3.0778 (3.0546) Prec@1 32.031 (28.640) Prec@5 55.859 (57.763) Epoch: [3][3820/5809] Time 0.710 (0.453) Data 0.651 (0.378) Loss 3.1170 (3.0545) Prec@1 26.562 (28.640) Prec@5 57.031 (57.765) Epoch: [3][3830/5809] Time 0.186 (0.453) Data 0.126 (0.378) Loss 2.8757 (3.0544) Prec@1 28.906 (28.640) Prec@5 61.719 (57.767) Epoch: [3][3840/5809] Time 0.134 (0.453) Data 0.001 (0.378) Loss 2.8365 (3.0543) Prec@1 34.766 (28.644) Prec@5 61.719 (57.767) Epoch: [3][3850/5809] Time 0.140 (0.453) Data 0.001 (0.378) Loss 3.0480 (3.0542) Prec@1 29.297 (28.645) Prec@5 57.422 (57.769) Epoch: [3][3860/5809] Time 0.133 (0.453) Data 0.001 (0.378) Loss 3.0543 (3.0538) Prec@1 32.812 (28.650) Prec@5 58.984 (57.777) Epoch: [3][3870/5809] Time 0.133 (0.453) Data 0.001 (0.378) Loss 3.1900 (3.0540) Prec@1 24.609 (28.648) Prec@5 56.250 (57.772) Epoch: [3][3880/5809] Time 0.133 (0.453) Data 0.058 (0.378) Loss 2.9162 (3.0538) Prec@1 27.734 (28.653) Prec@5 64.453 (57.776) Epoch: [3][3890/5809] Time 0.128 (0.454) Data 0.045 (0.379) Loss 2.8833 (3.0538) Prec@1 30.859 (28.652) Prec@5 60.547 (57.778) Epoch: [3][3900/5809] Time 0.133 (0.454) Data 0.001 (0.379) Loss 2.8684 (3.0536) Prec@1 33.984 (28.658) Prec@5 60.156 (57.781) Epoch: [3][3910/5809] Time 0.537 (0.454) Data 0.477 (0.379) Loss 3.1352 (3.0536) Prec@1 28.906 (28.659) Prec@5 57.031 (57.781) Epoch: [3][3920/5809] Time 0.133 (0.454) Data 0.042 (0.379) Loss 3.1010 (3.0534) Prec@1 31.641 (28.661) Prec@5 59.375 (57.786) Epoch: [3][3930/5809] Time 0.359 (0.454) Data 0.300 (0.379) Loss 3.1946 (3.0536) Prec@1 27.734 (28.660) Prec@5 55.469 (57.783) Epoch: [3][3940/5809] Time 0.283 (0.454) Data 0.224 (0.379) Loss 3.0274 (3.0535) Prec@1 27.734 (28.661) Prec@5 57.031 (57.785) Epoch: [3][3950/5809] Time 0.218 (0.454) Data 0.157 (0.379) Loss 2.9005 (3.0534) Prec@1 30.469 (28.662) Prec@5 58.594 (57.788) Epoch: [3][3960/5809] Time 0.133 (0.454) Data 0.046 (0.379) Loss 2.8028 (3.0534) Prec@1 29.688 (28.663) Prec@5 64.844 (57.787) Epoch: [3][3970/5809] Time 0.415 (0.454) Data 0.357 (0.379) Loss 3.0694 (3.0532) Prec@1 31.250 (28.665) Prec@5 57.422 (57.790) Epoch: [3][3980/5809] Time 0.292 (0.454) Data 0.234 (0.379) Loss 3.1673 (3.0531) Prec@1 26.562 (28.667) Prec@5 55.078 (57.795) Epoch: [3][3990/5809] Time 0.135 (0.454) Data 0.001 (0.379) Loss 2.8555 (3.0529) Prec@1 31.641 (28.670) Prec@5 62.109 (57.799) Epoch: [3][4000/5809] Time 0.202 (0.454) Data 0.143 (0.379) Loss 2.9089 (3.0527) Prec@1 34.375 (28.672) Prec@5 59.375 (57.803) Epoch: [3][4010/5809] Time 0.294 (0.454) Data 0.231 (0.379) Loss 3.2659 (3.0524) Prec@1 25.391 (28.675) Prec@5 56.641 (57.807) Epoch: [3][4020/5809] Time 0.132 (0.454) Data 0.043 (0.379) Loss 2.9959 (3.0523) Prec@1 31.641 (28.680) Prec@5 60.547 (57.811) Epoch: [3][4030/5809] Time 0.643 (0.454) Data 0.582 (0.379) Loss 3.0376 (3.0521) Prec@1 30.078 (28.682) Prec@5 57.031 (57.812) Epoch: [3][4040/5809] Time 0.805 (0.454) Data 0.740 (0.379) Loss 2.9527 (3.0521) Prec@1 26.953 (28.682) Prec@5 60.156 (57.814) Epoch: [3][4050/5809] Time 0.657 (0.454) Data 0.598 (0.379) Loss 2.9384 (3.0519) Prec@1 28.516 (28.685) Prec@5 61.719 (57.821) Epoch: [3][4060/5809] Time 0.965 (0.454) Data 0.905 (0.379) Loss 3.1737 (3.0519) Prec@1 27.344 (28.687) Prec@5 57.031 (57.824) Epoch: [3][4070/5809] Time 0.158 (0.454) Data 0.100 (0.379) Loss 2.9187 (3.0517) Prec@1 32.812 (28.689) Prec@5 62.109 (57.830) Epoch: [3][4080/5809] Time 1.025 (0.454) Data 0.966 (0.380) Loss 2.9237 (3.0516) Prec@1 31.250 (28.692) Prec@5 65.234 (57.832) Epoch: [3][4090/5809] Time 0.576 (0.454) Data 0.518 (0.380) Loss 3.0553 (3.0514) Prec@1 23.438 (28.696) Prec@5 59.375 (57.836) Epoch: [3][4100/5809] Time 0.455 (0.454) Data 0.395 (0.380) Loss 2.9734 (3.0514) Prec@1 31.641 (28.699) Prec@5 57.422 (57.837) Epoch: [3][4110/5809] Time 0.433 (0.454) Data 0.369 (0.380) Loss 3.2682 (3.0513) Prec@1 25.000 (28.702) Prec@5 57.031 (57.839) Epoch: [3][4120/5809] Time 0.457 (0.454) Data 0.398 (0.380) Loss 2.9402 (3.0511) Prec@1 29.297 (28.704) Prec@5 58.594 (57.843) Epoch: [3][4130/5809] Time 1.040 (0.455) Data 0.976 (0.380) Loss 3.1496 (3.0511) Prec@1 26.172 (28.706) Prec@5 55.859 (57.845) Epoch: [3][4140/5809] Time 0.133 (0.455) Data 0.001 (0.380) Loss 3.1276 (3.0510) Prec@1 27.344 (28.708) Prec@5 57.812 (57.847) Epoch: [3][4150/5809] Time 1.063 (0.455) Data 1.003 (0.380) Loss 2.9567 (3.0510) Prec@1 30.859 (28.709) Prec@5 60.938 (57.849) Epoch: [3][4160/5809] Time 0.133 (0.455) Data 0.001 (0.380) Loss 2.9913 (3.0508) Prec@1 25.000 (28.708) Prec@5 59.766 (57.852) Epoch: [3][4170/5809] Time 0.982 (0.455) Data 0.923 (0.380) Loss 2.9539 (3.0506) Prec@1 29.297 (28.710) Prec@5 58.594 (57.852) Epoch: [3][4180/5809] Time 0.156 (0.455) Data 0.096 (0.380) Loss 3.0620 (3.0506) Prec@1 27.734 (28.711) Prec@5 59.375 (57.857) Epoch: [3][4190/5809] Time 1.147 (0.455) Data 1.088 (0.380) Loss 3.0078 (3.0504) Prec@1 28.516 (28.715) Prec@5 59.375 (57.862) Epoch: [3][4200/5809] Time 0.133 (0.455) Data 0.001 (0.380) Loss 3.1823 (3.0504) Prec@1 29.688 (28.715) Prec@5 53.906 (57.862) Epoch: [3][4210/5809] Time 1.213 (0.455) Data 1.153 (0.380) Loss 3.1421 (3.0503) Prec@1 25.391 (28.716) Prec@5 53.125 (57.863) Epoch: [3][4220/5809] Time 0.338 (0.455) Data 0.277 (0.380) Loss 3.0511 (3.0502) Prec@1 30.859 (28.718) Prec@5 55.469 (57.864) Epoch: [3][4230/5809] Time 1.187 (0.455) Data 1.115 (0.380) Loss 3.0772 (3.0501) Prec@1 30.469 (28.719) Prec@5 58.984 (57.868) Epoch: [3][4240/5809] Time 0.403 (0.455) Data 0.345 (0.380) Loss 2.7642 (3.0500) Prec@1 33.203 (28.722) Prec@5 61.328 (57.870) Epoch: [3][4250/5809] Time 1.299 (0.455) Data 1.240 (0.380) Loss 3.1003 (3.0500) Prec@1 24.609 (28.720) Prec@5 58.203 (57.871) Epoch: [3][4260/5809] Time 0.150 (0.455) Data 0.091 (0.380) Loss 2.9899 (3.0499) Prec@1 29.688 (28.724) Prec@5 60.156 (57.873) Epoch: [3][4270/5809] Time 0.939 (0.455) Data 0.877 (0.380) Loss 3.0794 (3.0497) Prec@1 27.344 (28.729) Prec@5 58.594 (57.878) Epoch: [3][4280/5809] Time 0.197 (0.455) Data 0.135 (0.380) Loss 3.1688 (3.0497) Prec@1 22.656 (28.726) Prec@5 54.297 (57.877) Epoch: [3][4290/5809] Time 0.792 (0.455) Data 0.729 (0.380) Loss 3.0706 (3.0495) Prec@1 27.734 (28.729) Prec@5 62.891 (57.885) Epoch: [3][4300/5809] Time 0.139 (0.455) Data 0.001 (0.380) Loss 3.2086 (3.0496) Prec@1 26.172 (28.730) Prec@5 53.906 (57.881) Epoch: [3][4310/5809] Time 0.776 (0.455) Data 0.716 (0.380) Loss 3.0977 (3.0497) Prec@1 32.422 (28.732) Prec@5 55.469 (57.881) Epoch: [3][4320/5809] Time 0.729 (0.455) Data 0.669 (0.380) Loss 2.9612 (3.0495) Prec@1 29.688 (28.735) Prec@5 58.594 (57.881) Epoch: [3][4330/5809] Time 0.526 (0.455) Data 0.465 (0.380) Loss 2.9313 (3.0493) Prec@1 28.125 (28.736) Prec@5 59.766 (57.885) Epoch: [3][4340/5809] Time 0.656 (0.455) Data 0.595 (0.380) Loss 3.0401 (3.0494) Prec@1 26.562 (28.734) Prec@5 58.594 (57.887) Epoch: [3][4350/5809] Time 0.577 (0.455) Data 0.518 (0.380) Loss 3.0370 (3.0493) Prec@1 31.250 (28.733) Prec@5 58.203 (57.890) Epoch: [3][4360/5809] Time 0.128 (0.455) Data 0.045 (0.380) Loss 3.0121 (3.0492) Prec@1 32.422 (28.736) Prec@5 56.641 (57.891) Epoch: [3][4370/5809] Time 0.740 (0.455) Data 0.680 (0.380) Loss 3.2383 (3.0492) Prec@1 27.344 (28.734) Prec@5 54.297 (57.891) Epoch: [3][4380/5809] Time 0.125 (0.455) Data 0.048 (0.380) Loss 2.8886 (3.0490) Prec@1 32.031 (28.736) Prec@5 61.328 (57.898) Epoch: [3][4390/5809] Time 0.134 (0.455) Data 0.001 (0.381) Loss 2.7995 (3.0490) Prec@1 32.031 (28.734) Prec@5 64.062 (57.899) Epoch: [3][4400/5809] Time 0.134 (0.455) Data 0.074 (0.381) Loss 2.9831 (3.0488) Prec@1 33.203 (28.738) Prec@5 62.891 (57.903) Epoch: [3][4410/5809] Time 0.132 (0.455) Data 0.057 (0.381) Loss 3.3059 (3.0488) Prec@1 26.953 (28.742) Prec@5 56.641 (57.903) Epoch: [3][4420/5809] Time 0.299 (0.456) Data 0.240 (0.381) Loss 3.0373 (3.0488) Prec@1 32.422 (28.743) Prec@5 59.375 (57.905) Epoch: [3][4430/5809] Time 0.132 (0.456) Data 0.001 (0.381) Loss 3.0847 (3.0485) Prec@1 25.781 (28.746) Prec@5 57.031 (57.910) Epoch: [3][4440/5809] Time 0.184 (0.456) Data 0.125 (0.381) Loss 3.0263 (3.0485) Prec@1 31.250 (28.744) Prec@5 55.859 (57.910) Epoch: [3][4450/5809] Time 0.133 (0.456) Data 0.001 (0.381) Loss 3.1268 (3.0484) Prec@1 29.297 (28.745) Prec@5 56.641 (57.913) Epoch: [3][4460/5809] Time 0.406 (0.456) Data 0.339 (0.381) Loss 3.0443 (3.0483) Prec@1 32.031 (28.747) Prec@5 60.547 (57.914) Epoch: [3][4470/5809] Time 0.133 (0.456) Data 0.001 (0.381) Loss 2.7366 (3.0482) Prec@1 37.500 (28.751) Prec@5 63.281 (57.916) Epoch: [3][4480/5809] Time 0.787 (0.456) Data 0.723 (0.381) Loss 2.9263 (3.0479) Prec@1 32.031 (28.756) Prec@5 64.453 (57.921) Epoch: [3][4490/5809] Time 0.133 (0.456) Data 0.001 (0.381) Loss 2.9838 (3.0478) Prec@1 31.641 (28.754) Prec@5 57.812 (57.923) Epoch: [3][4500/5809] Time 0.533 (0.456) Data 0.474 (0.381) Loss 3.0999 (3.0479) Prec@1 29.688 (28.753) Prec@5 56.250 (57.921) Epoch: [3][4510/5809] Time 0.425 (0.456) Data 0.366 (0.381) Loss 2.9571 (3.0478) Prec@1 27.734 (28.756) Prec@5 58.203 (57.922) Epoch: [3][4520/5809] Time 0.128 (0.456) Data 0.048 (0.381) Loss 2.8463 (3.0477) Prec@1 30.859 (28.758) Prec@5 61.328 (57.924) Epoch: [3][4530/5809] Time 0.526 (0.456) Data 0.463 (0.381) Loss 3.0345 (3.0477) Prec@1 27.344 (28.758) Prec@5 55.078 (57.925) Epoch: [3][4540/5809] Time 0.480 (0.456) Data 0.422 (0.381) Loss 2.7698 (3.0476) Prec@1 37.891 (28.761) Prec@5 61.719 (57.926) Epoch: [3][4550/5809] Time 0.268 (0.456) Data 0.209 (0.381) Loss 3.1203 (3.0475) Prec@1 27.344 (28.760) Prec@5 55.859 (57.931) Epoch: [3][4560/5809] Time 0.132 (0.456) Data 0.001 (0.381) Loss 2.9275 (3.0473) Prec@1 30.859 (28.762) Prec@5 61.719 (57.936) Epoch: [3][4570/5809] Time 0.875 (0.456) Data 0.816 (0.381) Loss 2.9627 (3.0473) Prec@1 25.781 (28.763) Prec@5 60.938 (57.938) Epoch: [3][4580/5809] Time 0.381 (0.456) Data 0.323 (0.381) Loss 2.9124 (3.0472) Prec@1 33.594 (28.765) Prec@5 62.500 (57.938) Epoch: [3][4590/5809] Time 0.750 (0.456) Data 0.690 (0.381) Loss 2.7777 (3.0470) Prec@1 30.859 (28.771) Prec@5 63.281 (57.944) Epoch: [3][4600/5809] Time 0.603 (0.456) Data 0.538 (0.381) Loss 3.1152 (3.0468) Prec@1 26.953 (28.773) Prec@5 57.031 (57.946) Epoch: [3][4610/5809] Time 0.399 (0.456) Data 0.340 (0.381) Loss 2.9445 (3.0467) Prec@1 30.078 (28.775) Prec@5 59.375 (57.948) Epoch: [3][4620/5809] Time 0.134 (0.456) Data 0.068 (0.381) Loss 2.9717 (3.0467) Prec@1 30.078 (28.776) Prec@5 57.812 (57.947) Epoch: [3][4630/5809] Time 0.450 (0.456) Data 0.387 (0.381) Loss 2.9933 (3.0466) Prec@1 30.078 (28.780) Prec@5 56.641 (57.948) Epoch: [3][4640/5809] Time 0.388 (0.456) Data 0.329 (0.381) Loss 2.8448 (3.0466) Prec@1 31.250 (28.776) Prec@5 60.156 (57.949) Epoch: [3][4650/5809] Time 0.772 (0.456) Data 0.713 (0.382) Loss 2.9748 (3.0466) Prec@1 28.906 (28.775) Prec@5 62.500 (57.951) Epoch: [3][4660/5809] Time 0.719 (0.456) Data 0.656 (0.382) Loss 2.9878 (3.0464) Prec@1 30.859 (28.780) Prec@5 58.594 (57.954) Epoch: [3][4670/5809] Time 0.658 (0.456) Data 0.594 (0.382) Loss 2.9300 (3.0464) Prec@1 33.203 (28.786) Prec@5 59.766 (57.956) Epoch: [3][4680/5809] Time 0.905 (0.456) Data 0.845 (0.382) Loss 3.0742 (3.0464) Prec@1 25.391 (28.787) Prec@5 58.203 (57.957) Epoch: [3][4690/5809] Time 0.219 (0.456) Data 0.159 (0.381) Loss 2.9959 (3.0463) Prec@1 30.469 (28.791) Prec@5 59.375 (57.957) Epoch: [3][4700/5809] Time 1.112 (0.456) Data 1.054 (0.382) Loss 3.0186 (3.0462) Prec@1 30.859 (28.793) Prec@5 60.938 (57.961) Epoch: [3][4710/5809] Time 0.132 (0.456) Data 0.041 (0.382) Loss 2.9220 (3.0462) Prec@1 30.469 (28.796) Prec@5 60.938 (57.962) Epoch: [3][4720/5809] Time 0.912 (0.456) Data 0.853 (0.382) Loss 3.0468 (3.0462) Prec@1 26.172 (28.797) Prec@5 55.859 (57.960) Epoch: [3][4730/5809] Time 0.300 (0.456) Data 0.241 (0.382) Loss 3.0709 (3.0462) Prec@1 31.250 (28.799) Prec@5 55.859 (57.959) Epoch: [3][4740/5809] Time 0.135 (0.456) Data 0.001 (0.382) Loss 3.2540 (3.0462) Prec@1 26.562 (28.798) Prec@5 57.812 (57.961) Epoch: [3][4750/5809] Time 0.765 (0.456) Data 0.706 (0.382) Loss 3.2144 (3.0461) Prec@1 24.219 (28.801) Prec@5 52.344 (57.962) Epoch: [3][4760/5809] Time 0.217 (0.456) Data 0.154 (0.382) Loss 2.8260 (3.0459) Prec@1 31.641 (28.805) Prec@5 66.016 (57.967) Epoch: [3][4770/5809] Time 0.134 (0.456) Data 0.055 (0.382) Loss 2.9417 (3.0458) Prec@1 30.859 (28.808) Prec@5 57.031 (57.972) Epoch: [3][4780/5809] Time 0.629 (0.456) Data 0.571 (0.382) Loss 3.0541 (3.0457) Prec@1 24.609 (28.808) Prec@5 60.156 (57.973) Epoch: [3][4790/5809] Time 0.152 (0.456) Data 0.092 (0.382) Loss 3.1052 (3.0456) Prec@1 25.000 (28.809) Prec@5 58.594 (57.975) Epoch: [3][4800/5809] Time 0.964 (0.457) Data 0.905 (0.382) Loss 2.5825 (3.0453) Prec@1 33.203 (28.813) Prec@5 70.312 (57.981) Epoch: [3][4810/5809] Time 0.385 (0.457) Data 0.325 (0.382) Loss 3.2420 (3.0451) Prec@1 24.609 (28.815) Prec@5 55.469 (57.985) Epoch: [3][4820/5809] Time 0.368 (0.457) Data 0.309 (0.382) Loss 2.9508 (3.0451) Prec@1 30.078 (28.813) Prec@5 57.422 (57.986) Epoch: [3][4830/5809] Time 0.133 (0.457) Data 0.001 (0.382) Loss 3.1005 (3.0451) Prec@1 28.906 (28.811) Prec@5 57.422 (57.984) Epoch: [3][4840/5809] Time 0.345 (0.457) Data 0.285 (0.382) Loss 2.9654 (3.0452) Prec@1 29.688 (28.811) Prec@5 60.156 (57.985) Epoch: [3][4850/5809] Time 0.421 (0.457) Data 0.362 (0.382) Loss 3.0534 (3.0451) Prec@1 28.516 (28.810) Prec@5 58.203 (57.988) Epoch: [3][4860/5809] Time 0.223 (0.457) Data 0.164 (0.382) Loss 2.8707 (3.0450) Prec@1 31.641 (28.811) Prec@5 62.891 (57.992) Epoch: [3][4870/5809] Time 0.448 (0.457) Data 0.389 (0.382) Loss 3.1459 (3.0449) Prec@1 26.953 (28.810) Prec@5 57.031 (57.991) Epoch: [3][4880/5809] Time 0.127 (0.457) Data 0.001 (0.382) Loss 3.0184 (3.0449) Prec@1 31.250 (28.811) Prec@5 59.766 (57.990) Epoch: [3][4890/5809] Time 0.454 (0.457) Data 0.395 (0.382) Loss 2.8519 (3.0448) Prec@1 32.031 (28.813) Prec@5 62.500 (57.993) Epoch: [3][4900/5809] Time 0.134 (0.457) Data 0.001 (0.382) Loss 3.1226 (3.0449) Prec@1 27.344 (28.810) Prec@5 58.203 (57.992) Epoch: [3][4910/5809] Time 0.468 (0.457) Data 0.409 (0.382) Loss 2.8578 (3.0448) Prec@1 36.328 (28.809) Prec@5 57.812 (57.993) Epoch: [3][4920/5809] Time 0.389 (0.457) Data 0.328 (0.382) Loss 3.1060 (3.0447) Prec@1 27.734 (28.808) Prec@5 56.641 (57.994) Epoch: [3][4930/5809] Time 0.851 (0.457) Data 0.792 (0.382) Loss 2.8969 (3.0445) Prec@1 30.078 (28.811) Prec@5 63.281 (57.999) Epoch: [3][4940/5809] Time 0.157 (0.457) Data 0.098 (0.382) Loss 2.9383 (3.0443) Prec@1 32.812 (28.818) Prec@5 57.812 (58.000) Epoch: [3][4950/5809] Time 0.927 (0.457) Data 0.868 (0.382) Loss 3.0005 (3.0441) Prec@1 28.906 (28.820) Prec@5 56.641 (58.004) Epoch: [3][4960/5809] Time 0.394 (0.457) Data 0.333 (0.382) Loss 3.0493 (3.0440) Prec@1 29.297 (28.822) Prec@5 56.641 (58.007) Epoch: [3][4970/5809] Time 1.108 (0.457) Data 1.049 (0.382) Loss 3.0643 (3.0440) Prec@1 27.734 (28.821) Prec@5 55.859 (58.006) Epoch: [3][4980/5809] Time 0.567 (0.457) Data 0.508 (0.382) Loss 3.0621 (3.0438) Prec@1 28.125 (28.823) Prec@5 57.422 (58.009) Epoch: [3][4990/5809] Time 0.819 (0.457) Data 0.752 (0.382) Loss 3.0623 (3.0436) Prec@1 28.906 (28.825) Prec@5 57.031 (58.012) Epoch: [3][5000/5809] Time 0.293 (0.457) Data 0.233 (0.382) Loss 3.1922 (3.0434) Prec@1 31.641 (28.827) Prec@5 58.203 (58.016) Epoch: [3][5010/5809] Time 0.845 (0.457) Data 0.782 (0.382) Loss 3.0626 (3.0433) Prec@1 28.125 (28.828) Prec@5 55.469 (58.019) Epoch: [3][5020/5809] Time 0.234 (0.456) Data 0.175 (0.382) Loss 2.9622 (3.0432) Prec@1 27.344 (28.830) Prec@5 59.375 (58.019) Epoch: [3][5030/5809] Time 1.225 (0.457) Data 1.162 (0.382) Loss 2.8711 (3.0431) Prec@1 34.766 (28.831) Prec@5 60.938 (58.021) Epoch: [3][5040/5809] Time 0.172 (0.456) Data 0.112 (0.382) Loss 2.7615 (3.0429) Prec@1 37.500 (28.836) Prec@5 62.109 (58.025) Epoch: [3][5050/5809] Time 1.125 (0.457) Data 1.065 (0.382) Loss 2.8883 (3.0426) Prec@1 32.031 (28.840) Prec@5 62.500 (58.030) Epoch: [3][5060/5809] Time 0.538 (0.456) Data 0.479 (0.382) Loss 3.0512 (3.0426) Prec@1 25.391 (28.839) Prec@5 62.500 (58.032) Epoch: [3][5070/5809] Time 0.545 (0.457) Data 0.479 (0.382) Loss 2.9563 (3.0425) Prec@1 32.422 (28.840) Prec@5 58.203 (58.035) Epoch: [3][5080/5809] Time 0.718 (0.457) Data 0.658 (0.382) Loss 3.1292 (3.0424) Prec@1 28.125 (28.839) Prec@5 57.422 (58.037) Epoch: [3][5090/5809] Time 0.474 (0.456) Data 0.414 (0.382) Loss 2.8637 (3.0423) Prec@1 31.641 (28.841) Prec@5 60.938 (58.039) Epoch: [3][5100/5809] Time 0.505 (0.456) Data 0.446 (0.382) Loss 3.0469 (3.0421) Prec@1 28.125 (28.845) Prec@5 62.891 (58.044) Epoch: [3][5110/5809] Time 0.909 (0.456) Data 0.850 (0.382) Loss 2.8011 (3.0421) Prec@1 32.031 (28.845) Prec@5 63.281 (58.046) Epoch: [3][5120/5809] Time 0.712 (0.456) Data 0.652 (0.382) Loss 2.9533 (3.0421) Prec@1 30.469 (28.844) Prec@5 55.469 (58.046) Epoch: [3][5130/5809] Time 0.801 (0.456) Data 0.742 (0.382) Loss 3.1173 (3.0420) Prec@1 29.297 (28.848) Prec@5 53.125 (58.045) Epoch: [3][5140/5809] Time 0.253 (0.456) Data 0.194 (0.382) Loss 2.8803 (3.0418) Prec@1 32.422 (28.850) Prec@5 60.156 (58.048) Epoch: [3][5150/5809] Time 0.853 (0.456) Data 0.784 (0.382) Loss 2.9605 (3.0417) Prec@1 26.953 (28.853) Prec@5 58.203 (58.050) Epoch: [3][5160/5809] Time 0.294 (0.456) Data 0.234 (0.382) Loss 3.3513 (3.0416) Prec@1 23.047 (28.854) Prec@5 50.000 (58.051) Epoch: [3][5170/5809] Time 1.098 (0.456) Data 1.031 (0.382) Loss 2.9051 (3.0416) Prec@1 32.812 (28.857) Prec@5 59.766 (58.052) Epoch: [3][5180/5809] Time 0.144 (0.456) Data 0.084 (0.382) Loss 3.0327 (3.0415) Prec@1 26.562 (28.857) Prec@5 57.031 (58.055) Epoch: [3][5190/5809] Time 0.930 (0.456) Data 0.870 (0.382) Loss 2.9079 (3.0413) Prec@1 30.469 (28.861) Prec@5 60.938 (58.057) Epoch: [3][5200/5809] Time 0.133 (0.456) Data 0.001 (0.382) Loss 2.8771 (3.0411) Prec@1 33.984 (28.864) Prec@5 62.500 (58.061) Epoch: [3][5210/5809] Time 0.713 (0.456) Data 0.648 (0.382) Loss 2.7246 (3.0410) Prec@1 37.891 (28.865) Prec@5 67.188 (58.064) Epoch: [3][5220/5809] Time 0.133 (0.456) Data 0.001 (0.382) Loss 2.9889 (3.0409) Prec@1 30.469 (28.866) Prec@5 58.203 (58.066) Epoch: [3][5230/5809] Time 0.723 (0.456) Data 0.664 (0.382) Loss 3.0830 (3.0409) Prec@1 30.469 (28.865) Prec@5 54.297 (58.065) Epoch: [3][5240/5809] Time 0.157 (0.456) Data 0.098 (0.382) Loss 2.8993 (3.0408) Prec@1 33.594 (28.867) Prec@5 60.938 (58.066) Epoch: [3][5250/5809] Time 0.898 (0.456) Data 0.839 (0.382) Loss 2.7907 (3.0406) Prec@1 33.984 (28.870) Prec@5 61.719 (58.068) Epoch: [3][5260/5809] Time 0.133 (0.456) Data 0.001 (0.382) Loss 2.8868 (3.0406) Prec@1 32.031 (28.870) Prec@5 62.109 (58.070) Epoch: [3][5270/5809] Time 0.905 (0.456) Data 0.844 (0.382) Loss 2.9330 (3.0406) Prec@1 32.422 (28.869) Prec@5 61.328 (58.071) Epoch: [3][5280/5809] Time 0.133 (0.456) Data 0.001 (0.382) Loss 3.0663 (3.0404) Prec@1 28.516 (28.874) Prec@5 55.469 (58.073) Epoch: [3][5290/5809] Time 0.474 (0.456) Data 0.416 (0.382) Loss 3.1371 (3.0404) Prec@1 29.688 (28.874) Prec@5 57.812 (58.074) Epoch: [3][5300/5809] Time 0.134 (0.456) Data 0.001 (0.382) Loss 2.7945 (3.0402) Prec@1 32.031 (28.876) Prec@5 69.922 (58.079) Epoch: [3][5310/5809] Time 0.618 (0.456) Data 0.559 (0.382) Loss 2.8490 (3.0401) Prec@1 35.938 (28.880) Prec@5 65.625 (58.080) Epoch: [3][5320/5809] Time 0.527 (0.456) Data 0.466 (0.382) Loss 3.0359 (3.0400) Prec@1 28.516 (28.883) Prec@5 59.766 (58.083) Epoch: [3][5330/5809] Time 0.579 (0.456) Data 0.513 (0.382) Loss 3.0050 (3.0398) Prec@1 25.781 (28.886) Prec@5 62.500 (58.088) Epoch: [3][5340/5809] Time 0.399 (0.456) Data 0.339 (0.382) Loss 3.0659 (3.0398) Prec@1 29.688 (28.885) Prec@5 54.688 (58.089) Epoch: [3][5350/5809] Time 0.337 (0.457) Data 0.273 (0.382) Loss 2.9887 (3.0397) Prec@1 30.469 (28.887) Prec@5 57.422 (58.091) Epoch: [3][5360/5809] Time 0.507 (0.457) Data 0.445 (0.382) Loss 2.9556 (3.0396) Prec@1 32.812 (28.888) Prec@5 60.938 (58.092) Epoch: [3][5370/5809] Time 0.638 (0.457) Data 0.579 (0.382) Loss 2.7738 (3.0395) Prec@1 32.422 (28.889) Prec@5 64.453 (58.095) Epoch: [3][5380/5809] Time 0.309 (0.457) Data 0.246 (0.382) Loss 2.9084 (3.0393) Prec@1 29.297 (28.892) Prec@5 61.719 (58.098) Epoch: [3][5390/5809] Time 0.629 (0.457) Data 0.566 (0.382) Loss 3.0673 (3.0394) Prec@1 30.078 (28.892) Prec@5 58.594 (58.098) Epoch: [3][5400/5809] Time 0.133 (0.457) Data 0.044 (0.382) Loss 3.0541 (3.0393) Prec@1 30.859 (28.893) Prec@5 58.594 (58.099) Epoch: [3][5410/5809] Time 0.568 (0.457) Data 0.510 (0.382) Loss 2.7239 (3.0392) Prec@1 35.938 (28.896) Prec@5 66.797 (58.102) Epoch: [3][5420/5809] Time 0.133 (0.457) Data 0.001 (0.382) Loss 2.8885 (3.0391) Prec@1 32.812 (28.900) Prec@5 60.547 (58.104) Epoch: [3][5430/5809] Time 1.005 (0.457) Data 0.942 (0.382) Loss 3.0363 (3.0390) Prec@1 29.297 (28.902) Prec@5 58.984 (58.105) Epoch: [3][5440/5809] Time 0.133 (0.457) Data 0.048 (0.382) Loss 3.1517 (3.0389) Prec@1 29.688 (28.906) Prec@5 52.734 (58.108) Epoch: [3][5450/5809] Time 0.978 (0.457) Data 0.915 (0.382) Loss 2.9163 (3.0388) Prec@1 32.422 (28.908) Prec@5 63.281 (58.108) Epoch: [3][5460/5809] Time 0.650 (0.457) Data 0.584 (0.382) Loss 3.1078 (3.0387) Prec@1 26.172 (28.909) Prec@5 57.422 (58.108) Epoch: [3][5470/5809] Time 1.174 (0.457) Data 1.115 (0.382) Loss 2.9667 (3.0387) Prec@1 30.469 (28.908) Prec@5 59.375 (58.110) Epoch: [3][5480/5809] Time 0.766 (0.457) Data 0.707 (0.382) Loss 2.8980 (3.0387) Prec@1 30.859 (28.910) Prec@5 58.594 (58.110) Epoch: [3][5490/5809] Time 0.622 (0.457) Data 0.562 (0.382) Loss 2.9301 (3.0387) Prec@1 34.766 (28.913) Prec@5 61.328 (58.112) Epoch: [3][5500/5809] Time 1.094 (0.457) Data 1.034 (0.382) Loss 3.1302 (3.0388) Prec@1 30.078 (28.914) Prec@5 57.422 (58.109) Epoch: [3][5510/5809] Time 0.586 (0.457) Data 0.526 (0.382) Loss 2.9065 (3.0386) Prec@1 33.203 (28.918) Prec@5 58.203 (58.112) Epoch: [3][5520/5809] Time 0.724 (0.457) Data 0.661 (0.383) Loss 3.0747 (3.0385) Prec@1 28.516 (28.920) Prec@5 60.156 (58.114) Epoch: [3][5530/5809] Time 1.067 (0.457) Data 1.007 (0.383) Loss 2.8658 (3.0384) Prec@1 31.641 (28.920) Prec@5 60.156 (58.116) Epoch: [3][5540/5809] Time 0.675 (0.457) Data 0.615 (0.383) Loss 2.9326 (3.0382) Prec@1 32.422 (28.923) Prec@5 60.156 (58.120) Epoch: [3][5550/5809] Time 0.752 (0.457) Data 0.689 (0.383) Loss 3.1024 (3.0379) Prec@1 28.516 (28.927) Prec@5 61.328 (58.127) Epoch: [3][5560/5809] Time 0.127 (0.457) Data 0.044 (0.383) Loss 3.0811 (3.0379) Prec@1 24.219 (28.926) Prec@5 59.766 (58.129) Epoch: [3][5570/5809] Time 1.133 (0.457) Data 1.073 (0.383) Loss 3.0350 (3.0378) Prec@1 29.297 (28.929) Prec@5 57.812 (58.130) Epoch: [3][5580/5809] Time 0.689 (0.457) Data 0.631 (0.383) Loss 3.0331 (3.0376) Prec@1 27.344 (28.930) Prec@5 59.375 (58.133) Epoch: [3][5590/5809] Time 0.364 (0.457) Data 0.299 (0.383) Loss 2.7397 (3.0375) Prec@1 34.766 (28.933) Prec@5 65.625 (58.134) Epoch: [3][5600/5809] Time 1.108 (0.457) Data 1.041 (0.383) Loss 3.0464 (3.0374) Prec@1 33.594 (28.938) Prec@5 60.938 (58.139) Epoch: [3][5610/5809] Time 0.419 (0.457) Data 0.359 (0.383) Loss 3.1547 (3.0373) Prec@1 28.125 (28.940) Prec@5 55.859 (58.141) Epoch: [3][5620/5809] Time 1.169 (0.457) Data 1.110 (0.383) Loss 3.1670 (3.0373) Prec@1 28.516 (28.941) Prec@5 55.078 (58.142) Epoch: [3][5630/5809] Time 0.520 (0.457) Data 0.455 (0.383) Loss 2.9381 (3.0371) Prec@1 32.031 (28.943) Prec@5 58.594 (58.147) Epoch: [3][5640/5809] Time 0.480 (0.457) Data 0.422 (0.383) Loss 3.0934 (3.0371) Prec@1 28.125 (28.944) Prec@5 57.812 (58.150) Epoch: [3][5650/5809] Time 0.260 (0.457) Data 0.202 (0.383) Loss 2.9148 (3.0370) Prec@1 33.984 (28.944) Prec@5 60.938 (58.152) Epoch: [3][5660/5809] Time 0.546 (0.457) Data 0.487 (0.383) Loss 3.1281 (3.0370) Prec@1 23.047 (28.944) Prec@5 57.422 (58.152) Epoch: [3][5670/5809] Time 0.428 (0.457) Data 0.369 (0.383) Loss 2.8260 (3.0368) Prec@1 35.156 (28.948) Prec@5 59.375 (58.154) Epoch: [3][5680/5809] Time 0.443 (0.457) Data 0.380 (0.383) Loss 2.9775 (3.0367) Prec@1 29.688 (28.950) Prec@5 63.281 (58.157) Epoch: [3][5690/5809] Time 0.548 (0.457) Data 0.490 (0.383) Loss 3.0524 (3.0366) Prec@1 30.078 (28.953) Prec@5 58.203 (58.159) Epoch: [3][5700/5809] Time 0.227 (0.457) Data 0.166 (0.383) Loss 3.0420 (3.0365) Prec@1 29.297 (28.955) Prec@5 59.375 (58.161) Epoch: [3][5710/5809] Time 0.636 (0.457) Data 0.574 (0.383) Loss 3.0204 (3.0364) Prec@1 30.078 (28.957) Prec@5 58.594 (58.162) Epoch: [3][5720/5809] Time 0.587 (0.457) Data 0.520 (0.383) Loss 2.9209 (3.0363) Prec@1 28.125 (28.960) Prec@5 63.672 (58.165) Epoch: [3][5730/5809] Time 0.389 (0.457) Data 0.326 (0.383) Loss 2.9226 (3.0361) Prec@1 28.516 (28.962) Prec@5 58.984 (58.167) Epoch: [3][5740/5809] Time 0.613 (0.457) Data 0.549 (0.383) Loss 2.8485 (3.0361) Prec@1 33.594 (28.962) Prec@5 58.203 (58.167) Epoch: [3][5750/5809] Time 0.134 (0.457) Data 0.001 (0.383) Loss 3.1368 (3.0360) Prec@1 27.734 (28.964) Prec@5 57.031 (58.168) Epoch: [3][5760/5809] Time 0.304 (0.457) Data 0.245 (0.383) Loss 3.0841 (3.0361) Prec@1 32.422 (28.966) Prec@5 57.422 (58.167) Epoch: [3][5770/5809] Time 0.134 (0.457) Data 0.001 (0.383) Loss 3.0300 (3.0361) Prec@1 31.250 (28.967) Prec@5 59.766 (58.167) Epoch: [3][5780/5809] Time 0.133 (0.457) Data 0.045 (0.383) Loss 3.0386 (3.0360) Prec@1 28.125 (28.968) Prec@5 59.766 (58.168) Epoch: [3][5790/5809] Time 0.274 (0.457) Data 0.215 (0.383) Loss 2.9176 (3.0360) Prec@1 28.906 (28.968) Prec@5 62.109 (58.168) Epoch: [3][5800/5809] Time 0.389 (0.457) Data 0.327 (0.383) Loss 2.8073 (3.0357) Prec@1 30.469 (28.972) Prec@5 61.328 (58.173) Test: [0/143] Time 1.912 (1.912) Loss 1.7535 (1.7535) Prec@1 57.031 (57.031) Prec@5 82.031 (82.031) Test: [10/143] Time 0.055 (0.504) Loss 9.2445 (8.2836) Prec@1 0.000 (6.854) Prec@5 0.000 (12.855) Test: [20/143] Time 1.235 (0.489) Loss 9.2792 (8.9981) Prec@1 0.000 (3.609) Prec@5 0.391 (7.571) Test: [30/143] Time 0.316 (0.442) Loss 11.2617 (9.4806) Prec@1 0.391 (2.495) Prec@5 0.781 (5.444) Test: [40/143] Time 0.879 (0.436) Loss 10.0542 (9.5318) Prec@1 0.391 (1.934) Prec@5 1.172 (4.487) Test: [50/143] Time 0.108 (0.416) Loss 8.5139 (9.5265) Prec@1 0.000 (1.654) Prec@5 0.391 (4.550) Test: [60/143] Time 0.989 (0.415) Loss 10.5933 (9.6249) Prec@1 0.000 (1.390) Prec@5 0.391 (3.868) Test: [70/143] Time 0.055 (0.406) Loss 8.0746 (9.7064) Prec@1 0.000 (1.210) Prec@5 0.781 (3.477) Test: [80/143] Time 0.861 (0.407) Loss 8.2379 (9.6622) Prec@1 0.000 (1.119) Prec@5 0.391 (3.328) Test: [90/143] Time 0.228 (0.401) Loss 7.7157 (9.5771) Prec@1 0.781 (1.013) Prec@5 4.297 (3.198) Test: [100/143] Time 0.488 (0.401) Loss 9.9204 (9.5446) Prec@1 0.000 (0.948) Prec@5 0.391 (3.024) Test: [110/143] Time 0.649 (0.400) Loss 12.0162 (9.5610) Prec@1 0.000 (0.866) Prec@5 0.000 (2.889) Test: [120/143] Time 0.341 (0.397) Loss 13.3039 (9.6599) Prec@1 0.000 (0.804) Prec@5 0.000 (2.738) Test: [130/143] Time 0.940 (0.398) Loss 13.1666 (10.0162) Prec@1 0.000 (0.742) Prec@5 0.000 (2.529) Test: [140/143] Time 0.055 (0.394) Loss 14.1835 (10.2903) Prec@1 0.000 (0.690) Prec@5 0.000 (2.349) * Prec@1 0.682 Prec@5 2.324 Epoch: [4][0/5809] Time 3.151 (3.151) Data 3.087 (3.087) Loss 2.9489 (2.9489) Prec@1 30.469 (30.469) Prec@5 60.547 (60.547) Epoch: [4][10/5809] Time 0.248 (0.635) Data 0.186 (0.534) Loss 3.2291 (3.0003) Prec@1 25.000 (28.516) Prec@5 52.734 (58.203) Epoch: [4][20/5809] Time 1.496 (0.570) Data 1.431 (0.473) Loss 3.1054 (3.0201) Prec@1 28.125 (28.478) Prec@5 55.859 (57.980) Epoch: [4][30/5809] Time 0.183 (0.508) Data 0.119 (0.413) Loss 2.7076 (2.9872) Prec@1 32.812 (29.196) Prec@5 66.016 (58.682) Epoch: [4][40/5809] Time 0.682 (0.497) Data 0.622 (0.409) Loss 2.9696 (2.9865) Prec@1 30.859 (29.163) Prec@5 56.250 (58.641) Epoch: [4][50/5809] Time 0.133 (0.490) Data 0.001 (0.405) Loss 3.0935 (2.9876) Prec@1 23.047 (29.090) Prec@5 58.594 (58.647) Epoch: [4][60/5809] Time 0.395 (0.478) Data 0.335 (0.393) Loss 3.2338 (2.9841) Prec@1 29.688 (29.182) Prec@5 57.031 (58.908) Epoch: [4][70/5809] Time 0.310 (0.480) Data 0.245 (0.397) Loss 2.9554 (2.9842) Prec@1 28.906 (29.286) Prec@5 57.812 (58.918) Epoch: [4][80/5809] Time 0.132 (0.474) Data 0.047 (0.392) Loss 3.1349 (2.9803) Prec@1 28.125 (29.442) Prec@5 55.078 (59.052) Epoch: [4][90/5809] Time 0.704 (0.485) Data 0.646 (0.402) Loss 2.8002 (2.9815) Prec@1 29.297 (29.413) Prec@5 64.453 (59.126) Epoch: [4][100/5809] Time 0.133 (0.478) Data 0.044 (0.394) Loss 2.7825 (2.9813) Prec@1 33.984 (29.405) Prec@5 64.453 (59.178) Epoch: [4][110/5809] Time 0.695 (0.480) Data 0.627 (0.398) Loss 2.8387 (2.9742) Prec@1 31.250 (29.592) Prec@5 62.109 (59.245) Epoch: [4][120/5809] Time 0.133 (0.475) Data 0.042 (0.393) Loss 2.9182 (2.9711) Prec@1 29.297 (29.655) Prec@5 60.547 (59.323) Epoch: [4][130/5809] Time 1.344 (0.483) Data 1.285 (0.401) Loss 3.0967 (2.9757) Prec@1 23.047 (29.610) Prec@5 55.469 (59.268) Epoch: [4][140/5809] Time 0.778 (0.481) Data 0.719 (0.401) Loss 3.1350 (2.9759) Prec@1 26.172 (29.588) Prec@5 56.641 (59.303) Epoch: [4][150/5809] Time 0.801 (0.482) Data 0.741 (0.401) Loss 2.9346 (2.9791) Prec@1 32.031 (29.545) Prec@5 58.984 (59.215) Epoch: [4][160/5809] Time 0.630 (0.480) Data 0.568 (0.400) Loss 2.9540 (2.9785) Prec@1 31.641 (29.576) Prec@5 57.812 (59.244) Epoch: [4][170/5809] Time 0.901 (0.480) Data 0.836 (0.401) Loss 3.0431 (2.9775) Prec@1 27.734 (29.566) Prec@5 58.203 (59.272) Epoch: [4][180/5809] Time 0.585 (0.480) Data 0.525 (0.402) Loss 3.0585 (2.9766) Prec@1 29.688 (29.659) Prec@5 55.469 (59.302) Epoch: [4][190/5809] Time 0.466 (0.480) Data 0.407 (0.402) Loss 3.0612 (2.9744) Prec@1 26.172 (29.696) Prec@5 57.812 (59.353) Epoch: [4][200/5809] Time 0.454 (0.478) Data 0.394 (0.401) Loss 3.0560 (2.9758) Prec@1 31.641 (29.658) Prec@5 58.594 (59.346) Epoch: [4][210/5809] Time 0.135 (0.479) Data 0.048 (0.403) Loss 2.9888 (2.9762) Prec@1 28.125 (29.708) Prec@5 60.938 (59.312) Epoch: [4][220/5809] Time 0.651 (0.478) Data 0.591 (0.401) Loss 2.8641 (2.9749) Prec@1 30.469 (29.749) Prec@5 64.844 (59.366) Epoch: [4][230/5809] Time 0.628 (0.479) Data 0.566 (0.403) Loss 2.9376 (2.9779) Prec@1 28.906 (29.708) Prec@5 59.766 (59.277) Epoch: [4][240/5809] Time 0.754 (0.480) Data 0.695 (0.403) Loss 2.7955 (2.9734) Prec@1 33.203 (29.798) Prec@5 62.500 (59.325) Epoch: [4][250/5809] Time 0.282 (0.478) Data 0.224 (0.403) Loss 3.0211 (2.9722) Prec@1 28.125 (29.852) Prec@5 54.297 (59.358) Epoch: [4][260/5809] Time 1.087 (0.480) Data 1.028 (0.405) Loss 2.9286 (2.9709) Prec@1 31.641 (29.833) Prec@5 60.938 (59.393) Epoch: [4][270/5809] Time 0.132 (0.478) Data 0.046 (0.402) Loss 2.8746 (2.9696) Prec@1 33.594 (29.869) Prec@5 61.328 (59.415) Epoch: [4][280/5809] Time 1.220 (0.479) Data 1.162 (0.403) Loss 2.7919 (2.9692) Prec@1 32.031 (29.888) Prec@5 60.156 (59.425) Epoch: [4][290/5809] Time 0.199 (0.477) Data 0.136 (0.401) Loss 2.8633 (2.9706) Prec@1 30.078 (29.882) Prec@5 64.062 (59.421) Epoch: [4][300/5809] Time 1.292 (0.478) Data 1.229 (0.402) Loss 2.8692 (2.9711) Prec@1 33.984 (29.896) Prec@5 61.328 (59.440) Epoch: [4][310/5809] Time 0.133 (0.478) Data 0.043 (0.401) Loss 2.8401 (2.9700) Prec@1 34.375 (29.935) Prec@5 62.109 (59.442) Epoch: [4][320/5809] Time 0.576 (0.477) Data 0.517 (0.401) Loss 2.8504 (2.9694) Prec@1 32.812 (29.924) Prec@5 57.422 (59.457) Epoch: [4][330/5809] Time 0.373 (0.478) Data 0.313 (0.402) Loss 3.0352 (2.9709) Prec@1 26.172 (29.892) Prec@5 60.156 (59.430) Epoch: [4][340/5809] Time 0.723 (0.478) Data 0.664 (0.403) Loss 2.8780 (2.9684) Prec@1 36.328 (29.937) Prec@5 64.453 (59.519) Epoch: [4][350/5809] Time 0.428 (0.477) Data 0.365 (0.402) Loss 3.0121 (2.9678) Prec@1 30.078 (29.961) Prec@5 57.031 (59.536) Epoch: [4][360/5809] Time 0.892 (0.477) Data 0.829 (0.403) Loss 3.0147 (2.9668) Prec@1 32.031 (29.970) Prec@5 60.156 (59.563) Epoch: [4][370/5809] Time 0.170 (0.477) Data 0.110 (0.403) Loss 3.0903 (2.9687) Prec@1 29.297 (29.934) Prec@5 55.078 (59.566) Epoch: [4][380/5809] Time 0.823 (0.478) Data 0.759 (0.404) Loss 3.0930 (2.9691) Prec@1 29.297 (29.950) Prec@5 59.766 (59.542) Epoch: [4][390/5809] Time 0.392 (0.477) Data 0.332 (0.404) Loss 2.8819 (2.9682) Prec@1 32.812 (29.977) Prec@5 59.766 (59.568) Epoch: [4][400/5809] Time 0.707 (0.478) Data 0.648 (0.405) Loss 3.0270 (2.9679) Prec@1 28.906 (29.974) Prec@5 60.938 (59.588) Epoch: [4][410/5809] Time 0.440 (0.478) Data 0.381 (0.405) Loss 2.8816 (2.9667) Prec@1 32.422 (29.984) Prec@5 62.500 (59.624) Epoch: [4][420/5809] Time 0.583 (0.478) Data 0.522 (0.406) Loss 2.8743 (2.9677) Prec@1 28.125 (29.970) Prec@5 61.328 (59.591) Epoch: [4][430/5809] Time 0.493 (0.477) Data 0.428 (0.405) Loss 2.8504 (2.9667) Prec@1 29.688 (29.996) Prec@5 62.109 (59.609) Epoch: [4][440/5809] Time 0.208 (0.478) Data 0.145 (0.406) Loss 2.9793 (2.9660) Prec@1 29.297 (30.029) Prec@5 55.469 (59.629) Epoch: [4][450/5809] Time 0.325 (0.477) Data 0.265 (0.404) Loss 3.0684 (2.9650) Prec@1 28.906 (30.051) Prec@5 56.250 (59.650) Epoch: [4][460/5809] Time 0.390 (0.478) Data 0.330 (0.406) Loss 2.9277 (2.9650) Prec@1 32.422 (30.060) Prec@5 58.984 (59.650) Epoch: [4][470/5809] Time 0.518 (0.478) Data 0.460 (0.405) Loss 2.9819 (2.9635) Prec@1 29.297 (30.086) Prec@5 59.375 (59.684) Epoch: [4][480/5809] Time 0.254 (0.478) Data 0.196 (0.406) Loss 3.1795 (2.9644) Prec@1 23.438 (30.068) Prec@5 54.688 (59.687) Epoch: [4][490/5809] Time 0.572 (0.478) Data 0.512 (0.406) Loss 2.9209 (2.9651) Prec@1 30.469 (30.061) Prec@5 62.109 (59.700) Epoch: [4][500/5809] Time 0.131 (0.478) Data 0.001 (0.406) Loss 3.0421 (2.9639) Prec@1 29.297 (30.089) Prec@5 55.469 (59.715) Epoch: [4][510/5809] Time 0.614 (0.477) Data 0.555 (0.406) Loss 3.1142 (2.9644) Prec@1 29.297 (30.072) Prec@5 60.938 (59.711) Epoch: [4][520/5809] Time 0.279 (0.477) Data 0.218 (0.406) Loss 2.8974 (2.9651) Prec@1 33.594 (30.081) Prec@5 60.938 (59.696) Epoch: [4][530/5809] Time 0.570 (0.477) Data 0.511 (0.406) Loss 3.1269 (2.9649) Prec@1 24.609 (30.091) Prec@5 56.250 (59.713) Epoch: [4][540/5809] Time 0.132 (0.478) Data 0.001 (0.406) Loss 2.9919 (2.9656) Prec@1 24.609 (30.067) Prec@5 60.156 (59.705) Epoch: [4][550/5809] Time 0.474 (0.478) Data 0.414 (0.406) Loss 2.8747 (2.9661) Prec@1 36.328 (30.083) Prec@5 60.547 (59.672) Epoch: [4][560/5809] Time 0.133 (0.478) Data 0.001 (0.406) Loss 2.7728 (2.9655) Prec@1 32.812 (30.094) Prec@5 62.891 (59.674) Epoch: [4][570/5809] Time 0.503 (0.477) Data 0.443 (0.406) Loss 2.9460 (2.9652) Prec@1 30.859 (30.108) Prec@5 60.938 (59.663) Epoch: [4][580/5809] Time 0.132 (0.477) Data 0.044 (0.405) Loss 3.0957 (2.9665) Prec@1 27.344 (30.106) Prec@5 55.078 (59.653) Epoch: [4][590/5809] Time 0.463 (0.477) Data 0.404 (0.406) Loss 2.9654 (2.9672) Prec@1 30.469 (30.091) Prec@5 60.156 (59.647) Epoch: [4][600/5809] Time 0.133 (0.478) Data 0.001 (0.406) Loss 3.0011 (2.9674) Prec@1 32.031 (30.096) Prec@5 57.812 (59.639) Epoch: [4][610/5809] Time 0.598 (0.479) Data 0.539 (0.407) Loss 3.1245 (2.9673) Prec@1 28.906 (30.113) Prec@5 53.906 (59.638) Epoch: [4][620/5809] Time 0.301 (0.478) Data 0.241 (0.406) Loss 3.0606 (2.9672) Prec@1 25.000 (30.120) Prec@5 60.547 (59.635) Epoch: [4][630/5809] Time 1.006 (0.479) Data 0.947 (0.407) Loss 2.7928 (2.9668) Prec@1 30.078 (30.099) Prec@5 59.375 (59.629) Epoch: [4][640/5809] Time 0.296 (0.478) Data 0.237 (0.406) Loss 3.0562 (2.9666) Prec@1 29.688 (30.121) Prec@5 59.375 (59.644) Epoch: [4][650/5809] Time 0.829 (0.480) Data 0.769 (0.408) Loss 3.0183 (2.9670) Prec@1 28.516 (30.139) Prec@5 59.375 (59.638) Epoch: [4][660/5809] Time 0.226 (0.479) Data 0.167 (0.407) Loss 2.8856 (2.9668) Prec@1 31.641 (30.137) Prec@5 62.109 (59.644) Epoch: [4][670/5809] Time 0.132 (0.480) Data 0.001 (0.409) Loss 2.9861 (2.9661) Prec@1 31.250 (30.151) Prec@5 60.156 (59.665) Epoch: [4][680/5809] Time 0.364 (0.481) Data 0.305 (0.409) Loss 3.2473 (2.9654) Prec@1 27.734 (30.153) Prec@5 52.344 (59.692) Epoch: [4][690/5809] Time 0.138 (0.483) Data 0.044 (0.412) Loss 2.9703 (2.9646) Prec@1 29.688 (30.166) Prec@5 63.281 (59.711) Epoch: [4][700/5809] Time 0.525 (0.484) Data 0.464 (0.412) Loss 3.0207 (2.9652) Prec@1 28.516 (30.146) Prec@5 57.422 (59.705) Epoch: [4][710/5809] Time 0.203 (0.485) Data 0.144 (0.413) Loss 2.7497 (2.9645) Prec@1 33.203 (30.142) Prec@5 64.062 (59.718) Epoch: [4][720/5809] Time 0.994 (0.487) Data 0.934 (0.414) Loss 2.8438 (2.9635) Prec@1 33.594 (30.170) Prec@5 61.328 (59.741) Epoch: [4][730/5809] Time 0.192 (0.487) Data 0.133 (0.415) Loss 3.0652 (2.9631) Prec@1 30.078 (30.179) Prec@5 55.859 (59.745) Epoch: [4][740/5809] Time 1.651 (0.488) Data 1.589 (0.416) Loss 3.0429 (2.9635) Prec@1 22.656 (30.155) Prec@5 58.984 (59.734) Epoch: [4][750/5809] Time 0.653 (0.488) Data 0.593 (0.416) Loss 2.9224 (2.9631) Prec@1 33.203 (30.169) Prec@5 57.812 (59.739) Epoch: [4][760/5809] Time 0.734 (0.488) Data 0.675 (0.416) Loss 3.0391 (2.9627) Prec@1 27.734 (30.169) Prec@5 60.547 (59.745) Epoch: [4][770/5809] Time 0.367 (0.489) Data 0.304 (0.416) Loss 2.9203 (2.9626) Prec@1 32.422 (30.176) Prec@5 60.938 (59.752) Epoch: [4][780/5809] Time 0.540 (0.489) Data 0.478 (0.416) Loss 2.8792 (2.9629) Prec@1 34.375 (30.171) Prec@5 61.328 (59.720) Epoch: [4][790/5809] Time 0.272 (0.489) Data 0.214 (0.416) Loss 3.0208 (2.9632) Prec@1 29.688 (30.161) Prec@5 55.469 (59.708) Epoch: [4][800/5809] Time 0.585 (0.489) Data 0.527 (0.417) Loss 3.0112 (2.9632) Prec@1 31.250 (30.162) Prec@5 61.719 (59.708) Epoch: [4][810/5809] Time 0.262 (0.488) Data 0.204 (0.416) Loss 3.1753 (2.9635) Prec@1 30.469 (30.162) Prec@5 55.859 (59.695) Epoch: [4][820/5809] Time 1.450 (0.489) Data 1.391 (0.417) Loss 2.7725 (2.9629) Prec@1 33.203 (30.177) Prec@5 63.281 (59.699) Epoch: [4][830/5809] Time 0.133 (0.488) Data 0.001 (0.416) Loss 2.9539 (2.9636) Prec@1 31.641 (30.151) Prec@5 59.375 (59.678) Epoch: [4][840/5809] Time 0.821 (0.489) Data 0.763 (0.417) Loss 3.0532 (2.9634) Prec@1 28.516 (30.166) Prec@5 57.422 (59.678) Epoch: [4][850/5809] Time 0.440 (0.490) Data 0.374 (0.418) Loss 2.8832 (2.9633) Prec@1 30.078 (30.169) Prec@5 59.766 (59.678) Epoch: [4][860/5809] Time 0.504 (0.489) Data 0.445 (0.417) Loss 2.8006 (2.9633) Prec@1 31.250 (30.167) Prec@5 63.281 (59.676) Epoch: [4][870/5809] Time 0.561 (0.489) Data 0.499 (0.417) Loss 2.8534 (2.9628) Prec@1 29.688 (30.177) Prec@5 61.328 (59.676) Epoch: [4][880/5809] Time 0.133 (0.489) Data 0.070 (0.417) Loss 3.0882 (2.9626) Prec@1 25.781 (30.184) Prec@5 55.078 (59.677) Epoch: [4][890/5809] Time 0.577 (0.489) Data 0.514 (0.418) Loss 2.6776 (2.9633) Prec@1 34.766 (30.179) Prec@5 66.016 (59.659) Epoch: [4][900/5809] Time 0.212 (0.489) Data 0.152 (0.418) Loss 3.0629 (2.9632) Prec@1 30.859 (30.188) Prec@5 57.031 (59.660) Epoch: [4][910/5809] Time 0.813 (0.490) Data 0.754 (0.418) Loss 3.0064 (2.9639) Prec@1 26.562 (30.187) Prec@5 57.422 (59.652) Epoch: [4][920/5809] Time 0.133 (0.489) Data 0.001 (0.418) Loss 2.8434 (2.9638) Prec@1 34.375 (30.190) Prec@5 62.109 (59.650) Epoch: [4][930/5809] Time 0.649 (0.489) Data 0.583 (0.418) Loss 3.0727 (2.9636) Prec@1 25.391 (30.191) Prec@5 57.422 (59.656) Epoch: [4][940/5809] Time 0.133 (0.489) Data 0.044 (0.418) Loss 3.0294 (2.9635) Prec@1 31.641 (30.193) Prec@5 58.203 (59.666) Epoch: [4][950/5809] Time 0.706 (0.490) Data 0.648 (0.418) Loss 3.0547 (2.9627) Prec@1 30.859 (30.201) Prec@5 62.891 (59.690) Epoch: [4][960/5809] Time 0.133 (0.489) Data 0.001 (0.418) Loss 2.8901 (2.9630) Prec@1 30.078 (30.194) Prec@5 59.766 (59.686) Epoch: [4][970/5809] Time 1.476 (0.489) Data 1.413 (0.418) Loss 2.7226 (2.9629) Prec@1 31.641 (30.198) Prec@5 66.016 (59.689) Epoch: [4][980/5809] Time 0.353 (0.489) Data 0.294 (0.417) Loss 2.9948 (2.9632) Prec@1 31.641 (30.188) Prec@5 56.641 (59.676) Epoch: [4][990/5809] Time 1.291 (0.489) Data 1.232 (0.417) Loss 2.9417 (2.9633) Prec@1 33.203 (30.188) Prec@5 59.766 (59.662) Epoch: [4][1000/5809] Time 0.249 (0.496) Data 0.191 (0.424) Loss 2.8084 (2.9629) Prec@1 31.250 (30.203) Prec@5 63.672 (59.669) Epoch: [4][1010/5809] Time 0.898 (0.505) Data 0.837 (0.433) Loss 3.0041 (2.9634) Prec@1 28.906 (30.180) Prec@5 59.766 (59.665) Epoch: [4][1020/5809] Time 0.133 (0.505) Data 0.001 (0.433) Loss 2.7747 (2.9630) Prec@1 31.250 (30.188) Prec@5 65.234 (59.676) Epoch: [4][1030/5809] Time 0.345 (0.508) Data 0.280 (0.436) Loss 3.0545 (2.9629) Prec@1 30.859 (30.200) Prec@5 55.469 (59.675) Epoch: [4][1040/5809] Time 0.335 (0.507) Data 0.276 (0.436) Loss 3.0995 (2.9626) Prec@1 28.906 (30.202) Prec@5 58.594 (59.678) Epoch: [4][1050/5809] Time 0.587 (0.506) Data 0.528 (0.435) Loss 2.9147 (2.9623) Prec@1 31.250 (30.197) Prec@5 61.328 (59.686) Epoch: [4][1060/5809] Time 0.611 (0.505) Data 0.552 (0.434) Loss 2.6804 (2.9629) Prec@1 33.594 (30.194) Prec@5 66.406 (59.678) Epoch: [4][1070/5809] Time 0.743 (0.505) Data 0.681 (0.433) Loss 3.0919 (2.9633) Prec@1 25.781 (30.182) Prec@5 55.469 (59.668) Epoch: [4][1080/5809] Time 1.111 (0.504) Data 1.053 (0.433) Loss 2.8995 (2.9631) Prec@1 30.469 (30.183) Prec@5 63.672 (59.670) Epoch: [4][1090/5809] Time 0.781 (0.504) Data 0.717 (0.432) Loss 2.8423 (2.9624) Prec@1 37.109 (30.201) Prec@5 59.375 (59.681) Epoch: [4][1100/5809] Time 0.578 (0.503) Data 0.515 (0.432) Loss 3.1180 (2.9631) Prec@1 26.953 (30.191) Prec@5 54.297 (59.666) Epoch: [4][1110/5809] Time 0.589 (0.503) Data 0.531 (0.431) Loss 2.9754 (2.9635) Prec@1 27.734 (30.176) Prec@5 59.766 (59.660) Epoch: [4][1120/5809] Time 0.128 (0.502) Data 0.053 (0.431) Loss 2.9304 (2.9637) Prec@1 33.203 (30.174) Prec@5 60.547 (59.660) Epoch: [4][1130/5809] Time 0.599 (0.502) Data 0.541 (0.431) Loss 3.0344 (2.9639) Prec@1 30.078 (30.167) Prec@5 56.641 (59.662) Epoch: [4][1140/5809] Time 0.132 (0.501) Data 0.052 (0.430) Loss 3.2487 (2.9638) Prec@1 23.438 (30.165) Prec@5 58.984 (59.675) Epoch: [4][1150/5809] Time 0.228 (0.502) Data 0.169 (0.430) Loss 2.7719 (2.9628) Prec@1 32.812 (30.182) Prec@5 66.406 (59.693) Epoch: [4][1160/5809] Time 0.132 (0.501) Data 0.048 (0.430) Loss 3.0189 (2.9628) Prec@1 29.297 (30.180) Prec@5 59.375 (59.703) Epoch: [4][1170/5809] Time 0.139 (0.502) Data 0.001 (0.430) Loss 3.1118 (2.9625) Prec@1 28.906 (30.194) Prec@5 57.422 (59.710) Epoch: [4][1180/5809] Time 0.133 (0.501) Data 0.001 (0.429) Loss 2.7180 (2.9620) Prec@1 33.203 (30.198) Prec@5 63.672 (59.715) Epoch: [4][1190/5809] Time 0.160 (0.501) Data 0.101 (0.429) Loss 3.0416 (2.9613) Prec@1 25.781 (30.218) Prec@5 60.938 (59.737) Epoch: [4][1200/5809] Time 0.133 (0.500) Data 0.001 (0.428) Loss 3.0017 (2.9611) Prec@1 32.031 (30.222) Prec@5 60.156 (59.738) Epoch: [4][1210/5809] Time 0.136 (0.501) Data 0.001 (0.428) Loss 2.9678 (2.9610) Prec@1 31.250 (30.210) Prec@5 57.422 (59.736) Epoch: [4][1220/5809] Time 0.132 (0.500) Data 0.001 (0.427) Loss 3.0969 (2.9606) Prec@1 32.812 (30.219) Prec@5 59.375 (59.748) Epoch: [4][1230/5809] Time 0.139 (0.500) Data 0.072 (0.427) Loss 3.0511 (2.9609) Prec@1 26.953 (30.209) Prec@5 55.469 (59.742) Epoch: [4][1240/5809] Time 0.134 (0.499) Data 0.001 (0.426) Loss 2.9324 (2.9608) Prec@1 34.766 (30.203) Prec@5 60.938 (59.745) Epoch: [4][1250/5809] Time 0.134 (0.499) Data 0.001 (0.426) Loss 2.8890 (2.9605) Prec@1 32.812 (30.214) Prec@5 62.500 (59.747) Epoch: [4][1260/5809] Time 0.132 (0.498) Data 0.001 (0.425) Loss 2.9539 (2.9609) Prec@1 34.375 (30.211) Prec@5 62.109 (59.738) Epoch: [4][1270/5809] Time 0.350 (0.498) Data 0.287 (0.425) Loss 3.1722 (2.9609) Prec@1 28.125 (30.205) Prec@5 56.250 (59.733) Epoch: [4][1280/5809] Time 0.213 (0.497) Data 0.153 (0.424) Loss 2.8063 (2.9609) Prec@1 29.297 (30.207) Prec@5 60.156 (59.737) Epoch: [4][1290/5809] Time 0.540 (0.497) Data 0.481 (0.424) Loss 2.9575 (2.9609) Prec@1 29.688 (30.218) Prec@5 60.938 (59.740) Epoch: [4][1300/5809] Time 0.132 (0.497) Data 0.057 (0.424) Loss 2.8332 (2.9613) Prec@1 29.297 (30.215) Prec@5 60.938 (59.734) Epoch: [4][1310/5809] Time 0.419 (0.496) Data 0.360 (0.423) Loss 2.7082 (2.9613) Prec@1 37.109 (30.213) Prec@5 67.188 (59.735) Epoch: [4][1320/5809] Time 0.155 (0.496) Data 0.096 (0.423) Loss 3.0518 (2.9622) Prec@1 29.688 (30.199) Prec@5 57.812 (59.722) Epoch: [4][1330/5809] Time 0.617 (0.496) Data 0.558 (0.423) Loss 3.0445 (2.9622) Prec@1 30.859 (30.195) Prec@5 57.031 (59.731) Epoch: [4][1340/5809] Time 0.350 (0.495) Data 0.288 (0.423) Loss 2.9143 (2.9621) Prec@1 28.906 (30.197) Prec@5 60.547 (59.718) Epoch: [4][1350/5809] Time 0.618 (0.495) Data 0.560 (0.422) Loss 2.9086 (2.9621) Prec@1 32.422 (30.194) Prec@5 63.281 (59.714) Epoch: [4][1360/5809] Time 0.390 (0.495) Data 0.332 (0.422) Loss 2.9874 (2.9620) Prec@1 30.859 (30.187) Prec@5 61.719 (59.715) Epoch: [4][1370/5809] Time 0.393 (0.495) Data 0.334 (0.422) Loss 2.9791 (2.9614) Prec@1 30.859 (30.200) Prec@5 61.328 (59.727) Epoch: [4][1380/5809] Time 0.359 (0.495) Data 0.299 (0.422) Loss 2.8324 (2.9614) Prec@1 33.203 (30.202) Prec@5 65.625 (59.730) Epoch: [4][1390/5809] Time 0.135 (0.494) Data 0.001 (0.421) Loss 2.7573 (2.9610) Prec@1 32.812 (30.212) Prec@5 66.406 (59.731) Epoch: [4][1400/5809] Time 0.398 (0.494) Data 0.336 (0.422) Loss 3.2604 (2.9611) Prec@1 28.516 (30.213) Prec@5 53.125 (59.726) Epoch: [4][1410/5809] Time 0.128 (0.494) Data 0.050 (0.421) Loss 2.7783 (2.9613) Prec@1 32.812 (30.214) Prec@5 58.984 (59.722) Epoch: [4][1420/5809] Time 0.133 (0.494) Data 0.001 (0.421) Loss 3.1254 (2.9612) Prec@1 24.609 (30.213) Prec@5 57.031 (59.725) Epoch: [4][1430/5809] Time 0.343 (0.493) Data 0.283 (0.421) Loss 2.8838 (2.9610) Prec@1 32.422 (30.223) Prec@5 57.812 (59.720) Epoch: [4][1440/5809] Time 0.136 (0.494) Data 0.076 (0.421) Loss 2.9354 (2.9604) Prec@1 32.422 (30.236) Prec@5 58.984 (59.733) Epoch: [4][1450/5809] Time 0.397 (0.493) Data 0.337 (0.420) Loss 3.0824 (2.9605) Prec@1 25.391 (30.233) Prec@5 58.203 (59.732) Epoch: [4][1460/5809] Time 0.515 (0.493) Data 0.450 (0.420) Loss 2.8231 (2.9608) Prec@1 32.812 (30.232) Prec@5 66.797 (59.726) Epoch: [4][1470/5809] Time 0.221 (0.493) Data 0.157 (0.420) Loss 3.0346 (2.9609) Prec@1 27.344 (30.236) Prec@5 59.375 (59.730) Epoch: [4][1480/5809] Time 0.135 (0.493) Data 0.049 (0.420) Loss 2.7744 (2.9605) Prec@1 32.422 (30.242) Prec@5 63.672 (59.736) Epoch: [4][1490/5809] Time 0.491 (0.492) Data 0.432 (0.420) Loss 3.0613 (2.9608) Prec@1 26.172 (30.235) Prec@5 58.984 (59.729) Epoch: [4][1500/5809] Time 0.483 (0.493) Data 0.424 (0.420) Loss 2.7984 (2.9606) Prec@1 31.250 (30.233) Prec@5 61.328 (59.733) Epoch: [4][1510/5809] Time 0.480 (0.492) Data 0.420 (0.420) Loss 3.1140 (2.9603) Prec@1 25.781 (30.234) Prec@5 56.641 (59.739) Epoch: [4][1520/5809] Time 0.353 (0.492) Data 0.295 (0.419) Loss 2.9511 (2.9603) Prec@1 31.641 (30.230) Prec@5 58.594 (59.739) Epoch: [4][1530/5809] Time 1.066 (0.492) Data 1.003 (0.420) Loss 2.8086 (2.9598) Prec@1 33.984 (30.235) Prec@5 63.672 (59.754) Epoch: [4][1540/5809] Time 0.133 (0.492) Data 0.001 (0.419) Loss 2.9010 (2.9598) Prec@1 34.375 (30.240) Prec@5 61.328 (59.751) Epoch: [4][1550/5809] Time 0.765 (0.491) Data 0.707 (0.419) Loss 2.9619 (2.9596) Prec@1 31.641 (30.248) Prec@5 58.594 (59.763) Epoch: [4][1560/5809] Time 0.140 (0.491) Data 0.001 (0.419) Loss 3.0152 (2.9595) Prec@1 27.734 (30.250) Prec@5 57.031 (59.768) Epoch: [4][1570/5809] Time 1.169 (0.492) Data 1.105 (0.419) Loss 3.0486 (2.9599) Prec@1 26.172 (30.247) Prec@5 58.203 (59.756) Epoch: [4][1580/5809] Time 0.216 (0.491) Data 0.157 (0.419) Loss 3.0332 (2.9599) Prec@1 28.906 (30.236) Prec@5 57.031 (59.751) Epoch: [4][1590/5809] Time 0.964 (0.491) Data 0.904 (0.418) Loss 3.1789 (2.9599) Prec@1 25.781 (30.237) Prec@5 59.375 (59.750) Epoch: [4][1600/5809] Time 0.552 (0.491) Data 0.493 (0.418) Loss 2.8617 (2.9598) Prec@1 31.641 (30.240) Prec@5 60.547 (59.754) Epoch: [4][1610/5809] Time 0.629 (0.491) Data 0.569 (0.418) Loss 2.8789 (2.9595) Prec@1 29.297 (30.247) Prec@5 61.328 (59.764) Epoch: [4][1620/5809] Time 0.348 (0.491) Data 0.289 (0.418) Loss 3.0164 (2.9591) Prec@1 30.859 (30.248) Prec@5 61.719 (59.771) Epoch: [4][1630/5809] Time 1.168 (0.491) Data 1.103 (0.418) Loss 3.0676 (2.9594) Prec@1 28.125 (30.245) Prec@5 56.641 (59.762) Epoch: [4][1640/5809] Time 0.131 (0.490) Data 0.001 (0.418) Loss 2.9131 (2.9598) Prec@1 28.906 (30.240) Prec@5 60.547 (59.754) Epoch: [4][1650/5809] Time 1.244 (0.491) Data 1.177 (0.418) Loss 3.1254 (2.9601) Prec@1 25.391 (30.237) Prec@5 57.422 (59.751) Epoch: [4][1660/5809] Time 0.133 (0.490) Data 0.001 (0.417) Loss 2.9955 (2.9599) Prec@1 31.641 (30.242) Prec@5 61.719 (59.758) Epoch: [4][1670/5809] Time 0.976 (0.490) Data 0.917 (0.417) Loss 3.0289 (2.9602) Prec@1 29.297 (30.237) Prec@5 57.031 (59.746) Epoch: [4][1680/5809] Time 0.266 (0.490) Data 0.200 (0.417) Loss 3.1420 (2.9603) Prec@1 23.828 (30.229) Prec@5 56.641 (59.744) Epoch: [4][1690/5809] Time 0.826 (0.490) Data 0.763 (0.417) Loss 2.9112 (2.9601) Prec@1 30.078 (30.227) Prec@5 61.719 (59.748) Epoch: [4][1700/5809] Time 0.462 (0.490) Data 0.400 (0.416) Loss 2.7606 (2.9600) Prec@1 33.594 (30.233) Prec@5 64.062 (59.744) Epoch: [4][1710/5809] Time 0.727 (0.489) Data 0.662 (0.416) Loss 2.9349 (2.9599) Prec@1 26.562 (30.233) Prec@5 64.844 (59.749) Epoch: [4][1720/5809] Time 0.259 (0.488) Data 0.201 (0.415) Loss 3.0507 (2.9597) Prec@1 26.953 (30.224) Prec@5 58.984 (59.750) Epoch: [4][1730/5809] Time 0.419 (0.490) Data 0.359 (0.416) Loss 2.8427 (2.9597) Prec@1 34.375 (30.227) Prec@5 60.938 (59.750) Epoch: [4][1740/5809] Time 0.133 (0.490) Data 0.001 (0.417) Loss 2.9992 (2.9596) Prec@1 32.031 (30.227) Prec@5 57.031 (59.750) Epoch: [4][1750/5809] Time 0.836 (0.491) Data 0.778 (0.418) Loss 2.7780 (2.9595) Prec@1 35.547 (30.226) Prec@5 63.672 (59.756) Epoch: [4][1760/5809] Time 0.303 (0.491) Data 0.244 (0.418) Loss 2.8721 (2.9597) Prec@1 32.422 (30.223) Prec@5 59.375 (59.752) Epoch: [4][1770/5809] Time 0.133 (0.491) Data 0.001 (0.418) Loss 3.0531 (2.9596) Prec@1 31.641 (30.230) Prec@5 57.031 (59.751) Epoch: [4][1780/5809] Time 0.261 (0.491) Data 0.201 (0.418) Loss 2.9360 (2.9596) Prec@1 30.859 (30.224) Prec@5 60.156 (59.751) Epoch: [4][1790/5809] Time 0.134 (0.490) Data 0.001 (0.417) Loss 3.2509 (2.9600) Prec@1 25.000 (30.218) Prec@5 58.984 (59.744) Epoch: [4][1800/5809] Time 0.132 (0.491) Data 0.046 (0.418) Loss 3.0253 (2.9601) Prec@1 30.859 (30.218) Prec@5 60.156 (59.739) Epoch: [4][1810/5809] Time 0.131 (0.490) Data 0.047 (0.417) Loss 2.9313 (2.9597) Prec@1 28.906 (30.229) Prec@5 62.500 (59.752) Epoch: [4][1820/5809] Time 0.274 (0.490) Data 0.215 (0.417) Loss 3.0797 (2.9598) Prec@1 29.297 (30.228) Prec@5 60.547 (59.754) Epoch: [4][1830/5809] Time 0.298 (0.489) Data 0.235 (0.416) Loss 2.9350 (2.9602) Prec@1 29.688 (30.223) Prec@5 57.031 (59.743) Epoch: [4][1840/5809] Time 0.391 (0.489) Data 0.329 (0.416) Loss 3.0192 (2.9602) Prec@1 28.516 (30.220) Prec@5 57.812 (59.747) Epoch: [4][1850/5809] Time 0.406 (0.489) Data 0.339 (0.416) Loss 3.0498 (2.9603) Prec@1 30.859 (30.212) Prec@5 58.984 (59.745) Epoch: [4][1860/5809] Time 0.614 (0.488) Data 0.554 (0.415) Loss 3.0598 (2.9602) Prec@1 26.953 (30.215) Prec@5 55.469 (59.741) Epoch: [4][1870/5809] Time 0.388 (0.488) Data 0.327 (0.415) Loss 2.8504 (2.9603) Prec@1 29.688 (30.210) Prec@5 60.938 (59.739) Epoch: [4][1880/5809] Time 0.777 (0.487) Data 0.717 (0.414) Loss 2.7290 (2.9600) Prec@1 35.547 (30.214) Prec@5 62.109 (59.747) Epoch: [4][1890/5809] Time 0.450 (0.487) Data 0.390 (0.414) Loss 2.7228 (2.9596) Prec@1 31.250 (30.212) Prec@5 64.453 (59.757) Epoch: [4][1900/5809] Time 0.691 (0.486) Data 0.627 (0.414) Loss 2.8316 (2.9594) Prec@1 29.297 (30.216) Prec@5 64.062 (59.759) Epoch: [4][1910/5809] Time 0.134 (0.486) Data 0.066 (0.413) Loss 2.8477 (2.9592) Prec@1 29.688 (30.217) Prec@5 64.062 (59.764) Epoch: [4][1920/5809] Time 0.753 (0.486) Data 0.687 (0.413) Loss 2.9653 (2.9593) Prec@1 28.906 (30.215) Prec@5 57.422 (59.760) Epoch: [4][1930/5809] Time 0.230 (0.485) Data 0.170 (0.412) Loss 2.9843 (2.9595) Prec@1 33.203 (30.215) Prec@5 60.547 (59.756) Epoch: [4][1940/5809] Time 0.543 (0.485) Data 0.483 (0.412) Loss 2.7697 (2.9589) Prec@1 35.547 (30.226) Prec@5 64.453 (59.766) Epoch: [4][1950/5809] Time 0.362 (0.484) Data 0.299 (0.411) Loss 3.0166 (2.9588) Prec@1 25.781 (30.221) Prec@5 57.422 (59.765) Epoch: [4][1960/5809] Time 0.134 (0.484) Data 0.001 (0.411) Loss 3.0123 (2.9590) Prec@1 29.297 (30.216) Prec@5 57.812 (59.759) Epoch: [4][1970/5809] Time 0.408 (0.483) Data 0.346 (0.410) Loss 3.0667 (2.9590) Prec@1 30.469 (30.221) Prec@5 58.984 (59.760) Epoch: [4][1980/5809] Time 0.187 (0.483) Data 0.124 (0.410) Loss 2.9077 (2.9594) Prec@1 30.859 (30.218) Prec@5 60.156 (59.752) Epoch: [4][1990/5809] Time 0.574 (0.482) Data 0.511 (0.410) Loss 2.7594 (2.9590) Prec@1 34.766 (30.228) Prec@5 60.156 (59.760) Epoch: [4][2000/5809] Time 0.442 (0.482) Data 0.383 (0.409) Loss 2.9550 (2.9590) Prec@1 30.859 (30.229) Prec@5 58.594 (59.754) Epoch: [4][2010/5809] Time 0.392 (0.481) Data 0.334 (0.409) Loss 2.6565 (2.9589) Prec@1 35.938 (30.234) Prec@5 66.016 (59.760) Epoch: [4][2020/5809] Time 0.537 (0.481) Data 0.478 (0.409) Loss 2.7927 (2.9587) Prec@1 34.766 (30.232) Prec@5 61.719 (59.760) Epoch: [4][2030/5809] Time 0.331 (0.481) Data 0.264 (0.408) Loss 2.8887 (2.9586) Prec@1 32.031 (30.235) Prec@5 62.891 (59.761) Epoch: [4][2040/5809] Time 0.661 (0.480) Data 0.597 (0.408) Loss 2.7991 (2.9584) Prec@1 28.516 (30.233) Prec@5 61.328 (59.759) Epoch: [4][2050/5809] Time 0.223 (0.480) Data 0.163 (0.407) Loss 2.9934 (2.9585) Prec@1 30.859 (30.231) Prec@5 61.328 (59.764) Epoch: [4][2060/5809] Time 0.541 (0.479) Data 0.480 (0.407) Loss 2.7906 (2.9585) Prec@1 34.766 (30.230) Prec@5 59.766 (59.762) Epoch: [4][2070/5809] Time 0.135 (0.479) Data 0.075 (0.406) Loss 2.8760 (2.9586) Prec@1 30.078 (30.230) Prec@5 63.281 (59.756) Epoch: [4][2080/5809] Time 0.514 (0.479) Data 0.447 (0.406) Loss 2.9754 (2.9583) Prec@1 30.859 (30.234) Prec@5 59.375 (59.763) Epoch: [4][2090/5809] Time 0.747 (0.478) Data 0.689 (0.406) Loss 2.9703 (2.9583) Prec@1 29.688 (30.230) Prec@5 58.203 (59.767) Epoch: [4][2100/5809] Time 0.364 (0.478) Data 0.305 (0.405) Loss 2.9295 (2.9581) Prec@1 31.641 (30.231) Prec@5 60.547 (59.773) Epoch: [4][2110/5809] Time 1.096 (0.478) Data 1.036 (0.405) Loss 2.9547 (2.9581) Prec@1 30.859 (30.233) Prec@5 57.422 (59.775) Epoch: [4][2120/5809] Time 0.365 (0.477) Data 0.302 (0.405) Loss 2.7857 (2.9581) Prec@1 34.375 (30.232) Prec@5 66.797 (59.779) Epoch: [4][2130/5809] Time 0.846 (0.477) Data 0.787 (0.404) Loss 3.1257 (2.9579) Prec@1 28.906 (30.230) Prec@5 56.250 (59.785) Epoch: [4][2140/5809] Time 0.547 (0.476) Data 0.483 (0.404) Loss 3.0963 (2.9583) Prec@1 27.344 (30.225) Prec@5 55.859 (59.775) Epoch: [4][2150/5809] Time 0.630 (0.476) Data 0.567 (0.404) Loss 3.0347 (2.9586) Prec@1 27.734 (30.223) Prec@5 60.547 (59.766) Epoch: [4][2160/5809] Time 0.559 (0.476) Data 0.500 (0.403) Loss 3.2042 (2.9586) Prec@1 30.469 (30.224) Prec@5 53.516 (59.765) Epoch: [4][2170/5809] Time 0.920 (0.475) Data 0.860 (0.403) Loss 2.9810 (2.9586) Prec@1 29.297 (30.219) Prec@5 62.500 (59.769) Epoch: [4][2180/5809] Time 0.451 (0.475) Data 0.383 (0.402) Loss 3.1428 (2.9587) Prec@1 27.344 (30.214) Prec@5 53.516 (59.766) Epoch: [4][2190/5809] Time 0.750 (0.475) Data 0.690 (0.402) Loss 2.7597 (2.9586) Prec@1 35.547 (30.225) Prec@5 60.156 (59.765) Epoch: [4][2200/5809] Time 0.753 (0.474) Data 0.694 (0.402) Loss 2.8327 (2.9584) Prec@1 32.031 (30.231) Prec@5 62.500 (59.773) Epoch: [4][2210/5809] Time 0.345 (0.474) Data 0.285 (0.402) Loss 3.1018 (2.9585) Prec@1 26.562 (30.232) Prec@5 58.594 (59.774) Epoch: [4][2220/5809] Time 0.726 (0.474) Data 0.667 (0.401) Loss 2.6919 (2.9583) Prec@1 35.156 (30.240) Prec@5 64.844 (59.784) Epoch: [4][2230/5809] Time 0.268 (0.474) Data 0.209 (0.401) Loss 2.9724 (2.9579) Prec@1 27.734 (30.245) Prec@5 58.984 (59.797) Epoch: [4][2240/5809] Time 0.607 (0.473) Data 0.548 (0.401) Loss 3.0705 (2.9581) Prec@1 24.219 (30.240) Prec@5 56.641 (59.795) Epoch: [4][2250/5809] Time 0.487 (0.473) Data 0.424 (0.401) Loss 2.7327 (2.9579) Prec@1 33.594 (30.241) Prec@5 66.797 (59.797) Epoch: [4][2260/5809] Time 0.800 (0.473) Data 0.741 (0.400) Loss 2.5795 (2.9575) Prec@1 37.891 (30.252) Prec@5 70.703 (59.809) Epoch: [4][2270/5809] Time 0.293 (0.472) Data 0.232 (0.400) Loss 2.8656 (2.9574) Prec@1 29.688 (30.253) Prec@5 63.672 (59.812) Epoch: [4][2280/5809] Time 0.599 (0.472) Data 0.540 (0.400) Loss 2.8707 (2.9575) Prec@1 30.469 (30.251) Prec@5 63.281 (59.815) Epoch: [4][2290/5809] Time 0.375 (0.472) Data 0.313 (0.400) Loss 3.0086 (2.9576) Prec@1 27.344 (30.249) Prec@5 57.031 (59.808) Epoch: [4][2300/5809] Time 0.550 (0.472) Data 0.487 (0.399) Loss 3.0443 (2.9576) Prec@1 28.125 (30.248) Prec@5 53.516 (59.806) Epoch: [4][2310/5809] Time 0.400 (0.471) Data 0.342 (0.399) Loss 3.1231 (2.9576) Prec@1 27.734 (30.248) Prec@5 57.422 (59.805) Epoch: [4][2320/5809] Time 0.401 (0.471) Data 0.341 (0.399) Loss 3.1584 (2.9578) Prec@1 29.297 (30.245) Prec@5 55.859 (59.798) Epoch: [4][2330/5809] Time 0.493 (0.471) Data 0.434 (0.398) Loss 2.9850 (2.9577) Prec@1 31.250 (30.246) Prec@5 57.812 (59.802) Epoch: [4][2340/5809] Time 0.133 (0.470) Data 0.061 (0.398) Loss 2.8026 (2.9576) Prec@1 30.859 (30.245) Prec@5 62.109 (59.806) Epoch: [4][2350/5809] Time 0.139 (0.470) Data 0.074 (0.398) Loss 3.0463 (2.9575) Prec@1 28.516 (30.250) Prec@5 57.422 (59.808) Epoch: [4][2360/5809] Time 0.246 (0.470) Data 0.188 (0.398) Loss 2.6960 (2.9575) Prec@1 37.500 (30.254) Prec@5 64.062 (59.808) Epoch: [4][2370/5809] Time 0.328 (0.469) Data 0.269 (0.397) Loss 3.0144 (2.9575) Prec@1 28.125 (30.254) Prec@5 61.328 (59.810) Epoch: [4][2380/5809] Time 0.427 (0.469) Data 0.368 (0.397) Loss 2.9634 (2.9572) Prec@1 29.297 (30.261) Prec@5 56.641 (59.816) Epoch: [4][2390/5809] Time 0.263 (0.469) Data 0.200 (0.397) Loss 2.6361 (2.9574) Prec@1 37.500 (30.253) Prec@5 69.141 (59.816) Epoch: [4][2400/5809] Time 0.577 (0.469) Data 0.517 (0.397) Loss 2.7767 (2.9572) Prec@1 31.250 (30.255) Prec@5 62.500 (59.819) Epoch: [4][2410/5809] Time 0.535 (0.468) Data 0.468 (0.396) Loss 2.8133 (2.9571) Prec@1 30.469 (30.254) Prec@5 61.328 (59.818) Epoch: [4][2420/5809] Time 0.456 (0.468) Data 0.390 (0.396) Loss 2.8252 (2.9570) Prec@1 37.891 (30.262) Prec@5 62.891 (59.821) Epoch: [4][2430/5809] Time 0.464 (0.468) Data 0.404 (0.396) Loss 3.1934 (2.9571) Prec@1 25.000 (30.260) Prec@5 57.031 (59.818) Epoch: [4][2440/5809] Time 0.279 (0.467) Data 0.220 (0.396) Loss 2.8401 (2.9571) Prec@1 35.547 (30.258) Prec@5 62.891 (59.819) Epoch: [4][2450/5809] Time 0.439 (0.467) Data 0.375 (0.395) Loss 3.0453 (2.9572) Prec@1 31.250 (30.256) Prec@5 56.641 (59.815) Epoch: [4][2460/5809] Time 0.504 (0.467) Data 0.440 (0.395) Loss 2.8481 (2.9571) Prec@1 32.031 (30.253) Prec@5 60.547 (59.813) Epoch: [4][2470/5809] Time 0.364 (0.467) Data 0.305 (0.395) Loss 3.1773 (2.9572) Prec@1 29.688 (30.255) Prec@5 53.906 (59.813) Epoch: [4][2480/5809] Time 0.441 (0.466) Data 0.382 (0.395) Loss 3.0611 (2.9573) Prec@1 26.953 (30.253) Prec@5 58.594 (59.813) Epoch: [4][2490/5809] Time 0.257 (0.466) Data 0.199 (0.394) Loss 2.8459 (2.9571) Prec@1 33.594 (30.254) Prec@5 63.672 (59.820) Epoch: [4][2500/5809] Time 0.381 (0.466) Data 0.318 (0.394) Loss 3.0855 (2.9571) Prec@1 27.344 (30.254) Prec@5 58.203 (59.816) Epoch: [4][2510/5809] Time 0.393 (0.466) Data 0.330 (0.394) Loss 2.8125 (2.9569) Prec@1 35.156 (30.256) Prec@5 62.500 (59.821) Epoch: [4][2520/5809] Time 0.556 (0.465) Data 0.493 (0.394) Loss 2.8565 (2.9566) Prec@1 30.859 (30.261) Prec@5 64.453 (59.829) Epoch: [4][2530/5809] Time 0.229 (0.465) Data 0.170 (0.394) Loss 2.8781 (2.9566) Prec@1 31.641 (30.263) Prec@5 63.281 (59.829) Epoch: [4][2540/5809] Time 0.378 (0.465) Data 0.319 (0.393) Loss 2.8891 (2.9565) Prec@1 32.812 (30.264) Prec@5 61.328 (59.830) Epoch: [4][2550/5809] Time 0.296 (0.465) Data 0.233 (0.393) Loss 2.9295 (2.9564) Prec@1 28.125 (30.265) Prec@5 56.641 (59.831) Epoch: [4][2560/5809] Time 0.387 (0.464) Data 0.328 (0.393) Loss 2.9491 (2.9563) Prec@1 31.641 (30.268) Prec@5 57.422 (59.834) Epoch: [4][2570/5809] Time 0.747 (0.464) Data 0.688 (0.393) Loss 3.1090 (2.9565) Prec@1 26.172 (30.263) Prec@5 58.203 (59.829) Epoch: [4][2580/5809] Time 0.424 (0.464) Data 0.365 (0.393) Loss 3.1254 (2.9564) Prec@1 26.953 (30.260) Prec@5 56.641 (59.831) Epoch: [4][2590/5809] Time 0.257 (0.464) Data 0.195 (0.392) Loss 2.9570 (2.9563) Prec@1 29.297 (30.269) Prec@5 60.938 (59.832) Epoch: [4][2600/5809] Time 0.604 (0.464) Data 0.545 (0.392) Loss 2.9563 (2.9561) Prec@1 30.078 (30.275) Prec@5 59.766 (59.837) Epoch: [4][2610/5809] Time 0.133 (0.463) Data 0.046 (0.392) Loss 2.8640 (2.9560) Prec@1 31.250 (30.278) Prec@5 61.328 (59.839) Epoch: [4][2620/5809] Time 0.496 (0.463) Data 0.436 (0.392) Loss 2.9333 (2.9559) Prec@1 32.422 (30.284) Prec@5 58.594 (59.846) Epoch: [4][2630/5809] Time 0.146 (0.463) Data 0.086 (0.392) Loss 3.0223 (2.9558) Prec@1 33.594 (30.283) Prec@5 55.078 (59.844) Epoch: [4][2640/5809] Time 0.478 (0.463) Data 0.419 (0.391) Loss 2.9205 (2.9560) Prec@1 30.469 (30.285) Prec@5 60.938 (59.843) Epoch: [4][2650/5809] Time 0.133 (0.463) Data 0.050 (0.391) Loss 2.9867 (2.9559) Prec@1 31.250 (30.288) Prec@5 59.766 (59.846) Epoch: [4][2660/5809] Time 0.635 (0.462) Data 0.571 (0.391) Loss 2.9754 (2.9558) Prec@1 30.469 (30.290) Prec@5 61.328 (59.851) Epoch: [4][2670/5809] Time 0.211 (0.462) Data 0.143 (0.391) Loss 2.9042 (2.9561) Prec@1 28.906 (30.289) Prec@5 57.422 (59.845) Epoch: [4][2680/5809] Time 0.608 (0.462) Data 0.549 (0.391) Loss 3.0623 (2.9561) Prec@1 31.641 (30.295) Prec@5 60.547 (59.841) Epoch: [4][2690/5809] Time 0.473 (0.462) Data 0.414 (0.390) Loss 3.0786 (2.9563) Prec@1 26.953 (30.293) Prec@5 57.812 (59.839) Epoch: [4][2700/5809] Time 0.841 (0.462) Data 0.781 (0.390) Loss 3.0044 (2.9564) Prec@1 33.594 (30.289) Prec@5 58.594 (59.837) Epoch: [4][2710/5809] Time 0.133 (0.461) Data 0.044 (0.390) Loss 2.8040 (2.9564) Prec@1 29.297 (30.290) Prec@5 64.453 (59.833) Epoch: [4][2720/5809] Time 0.635 (0.461) Data 0.575 (0.390) Loss 2.9835 (2.9564) Prec@1 28.516 (30.294) Prec@5 58.984 (59.834) Epoch: [4][2730/5809] Time 0.134 (0.461) Data 0.001 (0.390) Loss 2.7675 (2.9562) Prec@1 34.375 (30.299) Prec@5 61.328 (59.838) Epoch: [4][2740/5809] Time 0.465 (0.461) Data 0.406 (0.390) Loss 2.7062 (2.9559) Prec@1 32.422 (30.300) Prec@5 64.453 (59.840) Epoch: [4][2750/5809] Time 0.151 (0.460) Data 0.089 (0.389) Loss 2.9901 (2.9555) Prec@1 31.641 (30.308) Prec@5 57.812 (59.848) Epoch: [4][2760/5809] Time 0.134 (0.460) Data 0.059 (0.389) Loss 2.9202 (2.9554) Prec@1 28.906 (30.311) Prec@5 61.719 (59.849) Epoch: [4][2770/5809] Time 0.132 (0.460) Data 0.001 (0.389) Loss 3.1436 (2.9556) Prec@1 25.391 (30.304) Prec@5 52.734 (59.845) Epoch: [4][2780/5809] Time 0.449 (0.460) Data 0.389 (0.389) Loss 3.0252 (2.9558) Prec@1 32.812 (30.298) Prec@5 56.250 (59.844) Epoch: [4][2790/5809] Time 0.134 (0.460) Data 0.001 (0.388) Loss 2.7504 (2.9559) Prec@1 35.156 (30.299) Prec@5 64.844 (59.846) Epoch: [4][2800/5809] Time 0.663 (0.460) Data 0.594 (0.388) Loss 3.0742 (2.9558) Prec@1 26.172 (30.297) Prec@5 57.422 (59.845) Epoch: [4][2810/5809] Time 0.133 (0.459) Data 0.048 (0.388) Loss 3.0405 (2.9558) Prec@1 25.781 (30.297) Prec@5 58.203 (59.844) Epoch: [4][2820/5809] Time 0.821 (0.459) Data 0.759 (0.388) Loss 2.9363 (2.9557) Prec@1 33.984 (30.302) Prec@5 61.328 (59.849) Epoch: [4][2830/5809] Time 0.274 (0.459) Data 0.215 (0.388) Loss 2.8133 (2.9558) Prec@1 34.766 (30.301) Prec@5 62.500 (59.850) Epoch: [4][2840/5809] Time 0.237 (0.459) Data 0.174 (0.388) Loss 2.7454 (2.9559) Prec@1 37.109 (30.298) Prec@5 66.406 (59.846) Epoch: [4][2850/5809] Time 0.310 (0.458) Data 0.249 (0.387) Loss 3.0299 (2.9558) Prec@1 30.469 (30.299) Prec@5 57.812 (59.848) Epoch: [4][2860/5809] Time 0.133 (0.458) Data 0.048 (0.387) Loss 2.9090 (2.9559) Prec@1 31.641 (30.298) Prec@5 64.453 (59.848) Epoch: [4][2870/5809] Time 0.694 (0.458) Data 0.634 (0.387) Loss 2.9992 (2.9559) Prec@1 30.078 (30.299) Prec@5 57.812 (59.849) Epoch: [4][2880/5809] Time 0.133 (0.458) Data 0.001 (0.387) Loss 3.0444 (2.9557) Prec@1 32.031 (30.306) Prec@5 58.203 (59.852) Epoch: [4][2890/5809] Time 0.413 (0.458) Data 0.354 (0.387) Loss 2.6987 (2.9556) Prec@1 29.688 (30.308) Prec@5 66.406 (59.857) Epoch: [4][2900/5809] Time 0.218 (0.457) Data 0.159 (0.386) Loss 2.7721 (2.9556) Prec@1 36.328 (30.310) Prec@5 62.109 (59.857) Epoch: [4][2910/5809] Time 0.442 (0.457) Data 0.383 (0.386) Loss 2.9484 (2.9554) Prec@1 25.391 (30.313) Prec@5 59.766 (59.863) Epoch: [4][2920/5809] Time 0.323 (0.457) Data 0.259 (0.386) Loss 3.0077 (2.9554) Prec@1 27.734 (30.314) Prec@5 58.594 (59.863) Epoch: [4][2930/5809] Time 0.581 (0.457) Data 0.522 (0.386) Loss 2.8014 (2.9555) Prec@1 31.641 (30.315) Prec@5 64.453 (59.864) Epoch: [4][2940/5809] Time 0.372 (0.457) Data 0.306 (0.386) Loss 2.8599 (2.9554) Prec@1 34.766 (30.319) Prec@5 63.672 (59.867) Epoch: [4][2950/5809] Time 0.376 (0.456) Data 0.313 (0.385) Loss 2.9500 (2.9552) Prec@1 32.812 (30.323) Prec@5 58.984 (59.871) Epoch: [4][2960/5809] Time 0.400 (0.456) Data 0.341 (0.385) Loss 2.6714 (2.9548) Prec@1 36.719 (30.337) Prec@5 68.359 (59.881) Epoch: [4][2970/5809] Time 0.325 (0.456) Data 0.266 (0.385) Loss 3.1298 (2.9551) Prec@1 26.172 (30.333) Prec@5 52.344 (59.876) Epoch: [4][2980/5809] Time 0.838 (0.456) Data 0.779 (0.385) Loss 2.9642 (2.9550) Prec@1 30.078 (30.330) Prec@5 59.375 (59.878) Epoch: [4][2990/5809] Time 0.512 (0.456) Data 0.446 (0.385) Loss 3.0993 (2.9550) Prec@1 28.516 (30.328) Prec@5 60.156 (59.879) Epoch: [4][3000/5809] Time 0.446 (0.456) Data 0.388 (0.385) Loss 2.8750 (2.9552) Prec@1 33.203 (30.322) Prec@5 62.891 (59.878) Epoch: [4][3010/5809] Time 0.391 (0.455) Data 0.331 (0.384) Loss 2.9449 (2.9554) Prec@1 30.469 (30.320) Prec@5 61.328 (59.875) Epoch: [4][3020/5809] Time 0.135 (0.455) Data 0.001 (0.384) Loss 2.9789 (2.9552) Prec@1 28.906 (30.323) Prec@5 63.281 (59.884) Epoch: [4][3030/5809] Time 0.406 (0.455) Data 0.347 (0.384) Loss 2.8763 (2.9551) Prec@1 32.031 (30.327) Prec@5 64.844 (59.887) Epoch: [4][3040/5809] Time 0.192 (0.455) Data 0.133 (0.384) Loss 2.8037 (2.9550) Prec@1 32.031 (30.331) Prec@5 61.328 (59.891) Epoch: [4][3050/5809] Time 0.400 (0.455) Data 0.336 (0.384) Loss 3.1721 (2.9550) Prec@1 26.172 (30.333) Prec@5 54.297 (59.888) Epoch: [4][3060/5809] Time 0.210 (0.455) Data 0.147 (0.384) Loss 2.8142 (2.9549) Prec@1 32.031 (30.335) Prec@5 64.453 (59.894) Epoch: [4][3070/5809] Time 0.447 (0.455) Data 0.388 (0.384) Loss 2.9441 (2.9548) Prec@1 30.078 (30.337) Prec@5 60.156 (59.901) Epoch: [4][3080/5809] Time 0.335 (0.455) Data 0.273 (0.384) Loss 2.8560 (2.9546) Prec@1 33.203 (30.342) Prec@5 61.719 (59.905) Epoch: [4][3090/5809] Time 0.487 (0.455) Data 0.427 (0.384) Loss 2.8598 (2.9546) Prec@1 30.469 (30.338) Prec@5 63.672 (59.909) Epoch: [4][3100/5809] Time 0.284 (0.455) Data 0.212 (0.384) Loss 3.0980 (2.9547) Prec@1 32.812 (30.336) Prec@5 59.375 (59.907) Epoch: [4][3110/5809] Time 0.284 (0.454) Data 0.221 (0.383) Loss 2.7792 (2.9546) Prec@1 35.156 (30.337) Prec@5 60.156 (59.908) Epoch: [4][3120/5809] Time 0.420 (0.454) Data 0.361 (0.383) Loss 2.7748 (2.9540) Prec@1 30.859 (30.345) Prec@5 62.500 (59.918) Epoch: [4][3130/5809] Time 0.330 (0.454) Data 0.269 (0.383) Loss 2.8750 (2.9540) Prec@1 34.375 (30.345) Prec@5 60.938 (59.918) Epoch: [4][3140/5809] Time 0.134 (0.454) Data 0.001 (0.383) Loss 2.9218 (2.9541) Prec@1 31.250 (30.344) Prec@5 58.594 (59.916) Epoch: [4][3150/5809] Time 0.541 (0.454) Data 0.482 (0.383) Loss 2.8125 (2.9538) Prec@1 33.594 (30.349) Prec@5 58.594 (59.919) Epoch: [4][3160/5809] Time 0.376 (0.454) Data 0.310 (0.383) Loss 3.1382 (2.9538) Prec@1 26.172 (30.347) Prec@5 60.938 (59.921) Epoch: [4][3170/5809] Time 0.470 (0.453) Data 0.410 (0.382) Loss 3.0056 (2.9538) Prec@1 29.297 (30.345) Prec@5 58.984 (59.922) Epoch: [4][3180/5809] Time 0.301 (0.453) Data 0.242 (0.382) Loss 2.7190 (2.9536) Prec@1 34.766 (30.343) Prec@5 65.625 (59.927) Epoch: [4][3190/5809] Time 0.233 (0.453) Data 0.174 (0.382) Loss 3.0204 (2.9539) Prec@1 28.516 (30.341) Prec@5 58.594 (59.925) Epoch: [4][3200/5809] Time 0.452 (0.453) Data 0.391 (0.382) Loss 2.8168 (2.9537) Prec@1 35.938 (30.345) Prec@5 62.891 (59.928) Epoch: [4][3210/5809] Time 0.134 (0.453) Data 0.001 (0.382) Loss 2.8365 (2.9536) Prec@1 29.688 (30.348) Prec@5 64.453 (59.932) Epoch: [4][3220/5809] Time 0.387 (0.453) Data 0.327 (0.382) Loss 3.0623 (2.9534) Prec@1 32.422 (30.350) Prec@5 58.984 (59.933) Epoch: [4][3230/5809] Time 0.134 (0.453) Data 0.007 (0.382) Loss 2.8984 (2.9534) Prec@1 32.422 (30.354) Prec@5 58.594 (59.932) Epoch: [4][3240/5809] Time 0.387 (0.453) Data 0.312 (0.382) Loss 3.1925 (2.9535) Prec@1 27.344 (30.354) Prec@5 55.859 (59.930) Epoch: [4][3250/5809] Time 0.135 (0.452) Data 0.001 (0.381) Loss 2.8794 (2.9535) Prec@1 36.328 (30.356) Prec@5 61.719 (59.928) Epoch: [4][3260/5809] Time 0.599 (0.452) Data 0.533 (0.381) Loss 2.9912 (2.9535) Prec@1 32.422 (30.357) Prec@5 58.203 (59.928) Epoch: [4][3270/5809] Time 0.133 (0.452) Data 0.050 (0.381) Loss 2.9832 (2.9535) Prec@1 30.078 (30.358) Prec@5 59.766 (59.932) Epoch: [4][3280/5809] Time 0.479 (0.452) Data 0.420 (0.381) Loss 3.0233 (2.9533) Prec@1 28.516 (30.364) Prec@5 58.984 (59.934) Epoch: [4][3290/5809] Time 0.132 (0.452) Data 0.043 (0.381) Loss 3.0551 (2.9533) Prec@1 27.344 (30.363) Prec@5 56.641 (59.932) Epoch: [4][3300/5809] Time 0.236 (0.452) Data 0.165 (0.381) Loss 3.0973 (2.9535) Prec@1 31.250 (30.362) Prec@5 57.031 (59.931) Epoch: [4][3310/5809] Time 0.134 (0.451) Data 0.001 (0.380) Loss 2.8209 (2.9533) Prec@1 35.547 (30.366) Prec@5 63.672 (59.935) Epoch: [4][3320/5809] Time 0.160 (0.451) Data 0.101 (0.380) Loss 2.7754 (2.9534) Prec@1 33.594 (30.365) Prec@5 65.625 (59.932) Epoch: [4][3330/5809] Time 0.134 (0.451) Data 0.001 (0.380) Loss 3.0177 (2.9533) Prec@1 28.906 (30.366) Prec@5 58.203 (59.935) Epoch: [4][3340/5809] Time 0.133 (0.451) Data 0.062 (0.380) Loss 2.9836 (2.9532) Prec@1 30.469 (30.370) Prec@5 63.281 (59.936) Epoch: [4][3350/5809] Time 0.133 (0.451) Data 0.001 (0.379) Loss 3.1427 (2.9532) Prec@1 30.859 (30.372) Prec@5 57.031 (59.935) Epoch: [4][3360/5809] Time 0.321 (0.451) Data 0.262 (0.379) Loss 2.7829 (2.9532) Prec@1 37.500 (30.375) Prec@5 63.281 (59.936) Epoch: [4][3370/5809] Time 0.134 (0.451) Data 0.044 (0.379) Loss 2.9553 (2.9531) Prec@1 28.906 (30.377) Prec@5 59.766 (59.938) Epoch: [4][3380/5809] Time 0.365 (0.451) Data 0.298 (0.379) Loss 2.7481 (2.9529) Prec@1 33.594 (30.380) Prec@5 60.547 (59.939) Epoch: [4][3390/5809] Time 0.133 (0.450) Data 0.058 (0.379) Loss 2.8495 (2.9529) Prec@1 30.078 (30.381) Prec@5 60.156 (59.938) Epoch: [4][3400/5809] Time 0.134 (0.450) Data 0.051 (0.379) Loss 2.8147 (2.9527) Prec@1 29.688 (30.383) Prec@5 63.281 (59.944) Epoch: [4][3410/5809] Time 0.674 (0.450) Data 0.616 (0.379) Loss 2.9176 (2.9527) Prec@1 32.812 (30.383) Prec@5 60.156 (59.943) Epoch: [4][3420/5809] Time 0.211 (0.450) Data 0.152 (0.379) Loss 3.2054 (2.9528) Prec@1 26.953 (30.378) Prec@5 53.125 (59.940) Epoch: [4][3430/5809] Time 0.896 (0.450) Data 0.838 (0.379) Loss 2.9459 (2.9529) Prec@1 31.641 (30.378) Prec@5 58.594 (59.941) Epoch: [4][3440/5809] Time 0.133 (0.450) Data 0.045 (0.379) Loss 3.0052 (2.9528) Prec@1 23.828 (30.377) Prec@5 61.719 (59.945) Epoch: [4][3450/5809] Time 0.530 (0.450) Data 0.468 (0.379) Loss 2.8178 (2.9527) Prec@1 30.078 (30.376) Prec@5 65.625 (59.946) Epoch: [4][3460/5809] Time 0.134 (0.450) Data 0.043 (0.379) Loss 2.7120 (2.9527) Prec@1 35.547 (30.375) Prec@5 65.625 (59.949) Epoch: [4][3470/5809] Time 0.488 (0.451) Data 0.429 (0.379) Loss 2.9323 (2.9527) Prec@1 29.297 (30.373) Prec@5 60.547 (59.950) Epoch: [4][3480/5809] Time 0.162 (0.450) Data 0.103 (0.379) Loss 3.0050 (2.9526) Prec@1 30.859 (30.375) Prec@5 58.594 (59.950) Epoch: [4][3490/5809] Time 0.390 (0.451) Data 0.332 (0.379) Loss 2.9599 (2.9525) Prec@1 29.297 (30.371) Prec@5 60.156 (59.952) Epoch: [4][3500/5809] Time 0.133 (0.450) Data 0.042 (0.379) Loss 3.0546 (2.9526) Prec@1 25.000 (30.372) Prec@5 60.156 (59.953) Epoch: [4][3510/5809] Time 0.636 (0.451) Data 0.577 (0.379) Loss 2.8502 (2.9526) Prec@1 31.250 (30.371) Prec@5 62.891 (59.951) Epoch: [4][3520/5809] Time 0.133 (0.450) Data 0.046 (0.379) Loss 3.1266 (2.9526) Prec@1 26.953 (30.369) Prec@5 58.984 (59.952) Epoch: [4][3530/5809] Time 0.438 (0.450) Data 0.379 (0.379) Loss 3.0973 (2.9527) Prec@1 25.781 (30.370) Prec@5 56.250 (59.948) Epoch: [4][3540/5809] Time 0.133 (0.450) Data 0.001 (0.379) Loss 2.9239 (2.9526) Prec@1 30.859 (30.371) Prec@5 58.984 (59.949) Epoch: [4][3550/5809] Time 0.228 (0.450) Data 0.168 (0.379) Loss 3.1572 (2.9526) Prec@1 29.688 (30.373) Prec@5 59.375 (59.950) Epoch: [4][3560/5809] Time 0.224 (0.450) Data 0.164 (0.379) Loss 2.9113 (2.9524) Prec@1 27.734 (30.378) Prec@5 60.938 (59.954) Epoch: [4][3570/5809] Time 0.134 (0.450) Data 0.001 (0.379) Loss 2.9213 (2.9523) Prec@1 32.812 (30.382) Prec@5 60.938 (59.954) Epoch: [4][3580/5809] Time 0.389 (0.450) Data 0.328 (0.379) Loss 3.2003 (2.9524) Prec@1 26.953 (30.379) Prec@5 55.859 (59.953) Epoch: [4][3590/5809] Time 0.359 (0.450) Data 0.299 (0.379) Loss 2.7471 (2.9522) Prec@1 32.812 (30.383) Prec@5 63.672 (59.956) Epoch: [4][3600/5809] Time 0.226 (0.450) Data 0.168 (0.379) Loss 2.9704 (2.9522) Prec@1 31.641 (30.385) Prec@5 59.766 (59.956) Epoch: [4][3610/5809] Time 0.134 (0.450) Data 0.073 (0.379) Loss 3.2009 (2.9523) Prec@1 26.562 (30.383) Prec@5 55.469 (59.954) Epoch: [4][3620/5809] Time 0.392 (0.450) Data 0.333 (0.379) Loss 2.8835 (2.9522) Prec@1 35.156 (30.385) Prec@5 59.766 (59.954) Epoch: [4][3630/5809] Time 0.502 (0.450) Data 0.442 (0.379) Loss 2.9503 (2.9523) Prec@1 33.984 (30.383) Prec@5 59.375 (59.949) Epoch: [4][3640/5809] Time 0.493 (0.450) Data 0.434 (0.379) Loss 3.0553 (2.9525) Prec@1 30.469 (30.381) Prec@5 60.156 (59.948) Epoch: [4][3650/5809] Time 0.850 (0.450) Data 0.791 (0.379) Loss 2.8067 (2.9525) Prec@1 35.547 (30.384) Prec@5 61.719 (59.948) Epoch: [4][3660/5809] Time 0.439 (0.450) Data 0.379 (0.379) Loss 3.0127 (2.9524) Prec@1 27.344 (30.383) Prec@5 58.594 (59.948) Epoch: [4][3670/5809] Time 1.117 (0.450) Data 1.057 (0.379) Loss 2.8337 (2.9523) Prec@1 31.641 (30.385) Prec@5 62.109 (59.949) Epoch: [4][3680/5809] Time 0.134 (0.450) Data 0.047 (0.379) Loss 2.8272 (2.9520) Prec@1 30.859 (30.390) Prec@5 61.719 (59.955) Epoch: [4][3690/5809] Time 0.751 (0.450) Data 0.693 (0.379) Loss 2.9034 (2.9518) Prec@1 35.938 (30.396) Prec@5 59.375 (59.962) Epoch: [4][3700/5809] Time 0.134 (0.450) Data 0.047 (0.379) Loss 3.0201 (2.9519) Prec@1 31.641 (30.392) Prec@5 58.203 (59.958) Epoch: [4][3710/5809] Time 0.960 (0.450) Data 0.901 (0.379) Loss 2.9274 (2.9520) Prec@1 31.250 (30.392) Prec@5 62.891 (59.959) Epoch: [4][3720/5809] Time 0.133 (0.450) Data 0.065 (0.379) Loss 2.9665 (2.9519) Prec@1 28.125 (30.394) Prec@5 57.812 (59.960) Epoch: [4][3730/5809] Time 0.932 (0.450) Data 0.872 (0.379) Loss 2.8564 (2.9518) Prec@1 28.516 (30.397) Prec@5 63.281 (59.964) Epoch: [4][3740/5809] Time 0.132 (0.450) Data 0.044 (0.378) Loss 2.9673 (2.9517) Prec@1 32.812 (30.397) Prec@5 58.594 (59.963) Epoch: [4][3750/5809] Time 0.717 (0.450) Data 0.654 (0.378) Loss 3.0168 (2.9515) Prec@1 30.859 (30.402) Prec@5 60.156 (59.967) Epoch: [4][3760/5809] Time 0.617 (0.450) Data 0.558 (0.378) Loss 3.0570 (2.9514) Prec@1 26.953 (30.402) Prec@5 58.984 (59.966) Epoch: [4][3770/5809] Time 0.369 (0.450) Data 0.303 (0.378) Loss 2.8200 (2.9515) Prec@1 32.812 (30.400) Prec@5 62.891 (59.968) Epoch: [4][3780/5809] Time 0.841 (0.450) Data 0.782 (0.378) Loss 2.8879 (2.9514) Prec@1 31.250 (30.398) Prec@5 61.328 (59.970) Epoch: [4][3790/5809] Time 0.132 (0.450) Data 0.001 (0.378) Loss 2.8453 (2.9515) Prec@1 30.469 (30.395) Prec@5 59.766 (59.968) Epoch: [4][3800/5809] Time 0.976 (0.450) Data 0.912 (0.378) Loss 3.1128 (2.9516) Prec@1 29.688 (30.394) Prec@5 60.547 (59.965) Epoch: [4][3810/5809] Time 0.139 (0.450) Data 0.077 (0.378) Loss 2.9311 (2.9516) Prec@1 29.688 (30.393) Prec@5 62.500 (59.967) Epoch: [4][3820/5809] Time 1.427 (0.450) Data 1.368 (0.378) Loss 2.8275 (2.9515) Prec@1 33.984 (30.396) Prec@5 64.062 (59.968) Epoch: [4][3830/5809] Time 0.132 (0.450) Data 0.001 (0.378) Loss 3.0870 (2.9515) Prec@1 25.781 (30.394) Prec@5 55.469 (59.965) Epoch: [4][3840/5809] Time 1.425 (0.450) Data 1.365 (0.378) Loss 3.0049 (2.9514) Prec@1 26.562 (30.394) Prec@5 57.422 (59.969) Epoch: [4][3850/5809] Time 0.133 (0.450) Data 0.001 (0.378) Loss 2.8417 (2.9515) Prec@1 35.938 (30.393) Prec@5 64.453 (59.969) Epoch: [4][3860/5809] Time 1.438 (0.450) Data 1.379 (0.378) Loss 2.8257 (2.9514) Prec@1 37.500 (30.397) Prec@5 62.891 (59.968) Epoch: [4][3870/5809] Time 0.131 (0.449) Data 0.045 (0.378) Loss 2.9464 (2.9514) Prec@1 28.125 (30.397) Prec@5 58.203 (59.966) Epoch: [4][3880/5809] Time 1.046 (0.449) Data 0.986 (0.378) Loss 2.9339 (2.9516) Prec@1 33.203 (30.396) Prec@5 55.469 (59.963) Epoch: [4][3890/5809] Time 0.132 (0.449) Data 0.001 (0.377) Loss 2.8783 (2.9514) Prec@1 32.031 (30.397) Prec@5 61.328 (59.966) Epoch: [4][3900/5809] Time 1.116 (0.449) Data 1.057 (0.378) Loss 3.0618 (2.9515) Prec@1 31.250 (30.397) Prec@5 54.688 (59.959) Epoch: [4][3910/5809] Time 0.191 (0.449) Data 0.127 (0.377) Loss 3.1075 (2.9513) Prec@1 30.469 (30.402) Prec@5 55.078 (59.964) Epoch: [4][3920/5809] Time 1.100 (0.449) Data 1.041 (0.377) Loss 2.9417 (2.9512) Prec@1 32.031 (30.405) Prec@5 58.594 (59.965) Epoch: [4][3930/5809] Time 0.133 (0.449) Data 0.001 (0.377) Loss 3.0259 (2.9513) Prec@1 26.172 (30.405) Prec@5 57.031 (59.966) Epoch: [4][3940/5809] Time 0.503 (0.449) Data 0.440 (0.377) Loss 3.0062 (2.9513) Prec@1 28.906 (30.404) Prec@5 59.375 (59.966) Epoch: [4][3950/5809] Time 0.133 (0.449) Data 0.001 (0.377) Loss 3.0523 (2.9513) Prec@1 29.688 (30.405) Prec@5 58.984 (59.967) Epoch: [4][3960/5809] Time 0.639 (0.449) Data 0.580 (0.377) Loss 2.8268 (2.9511) Prec@1 39.844 (30.410) Prec@5 64.453 (59.971) Epoch: [4][3970/5809] Time 0.593 (0.449) Data 0.533 (0.377) Loss 3.1514 (2.9511) Prec@1 24.609 (30.407) Prec@5 56.641 (59.971) Epoch: [4][3980/5809] Time 0.500 (0.449) Data 0.438 (0.377) Loss 3.0759 (2.9512) Prec@1 28.125 (30.406) Prec@5 58.203 (59.970) Epoch: [4][3990/5809] Time 0.264 (0.449) Data 0.202 (0.377) Loss 2.7973 (2.9511) Prec@1 33.203 (30.405) Prec@5 64.062 (59.971) Epoch: [4][4000/5809] Time 0.591 (0.449) Data 0.526 (0.377) Loss 3.0386 (2.9513) Prec@1 28.125 (30.401) Prec@5 58.203 (59.967) Epoch: [4][4010/5809] Time 0.186 (0.449) Data 0.126 (0.377) Loss 2.8615 (2.9511) Prec@1 30.469 (30.403) Prec@5 61.328 (59.971) Epoch: [4][4020/5809] Time 0.655 (0.449) Data 0.597 (0.377) Loss 3.0605 (2.9511) Prec@1 30.859 (30.405) Prec@5 55.859 (59.972) Epoch: [4][4030/5809] Time 0.567 (0.449) Data 0.507 (0.378) Loss 2.7678 (2.9510) Prec@1 35.938 (30.411) Prec@5 64.062 (59.971) Epoch: [4][4040/5809] Time 0.133 (0.449) Data 0.001 (0.378) Loss 2.9695 (2.9510) Prec@1 27.344 (30.411) Prec@5 60.938 (59.971) Epoch: [4][4050/5809] Time 0.748 (0.449) Data 0.690 (0.378) Loss 3.0104 (2.9508) Prec@1 27.734 (30.415) Prec@5 58.984 (59.976) Epoch: [4][4060/5809] Time 0.573 (0.449) Data 0.514 (0.378) Loss 2.9903 (2.9507) Prec@1 28.516 (30.417) Prec@5 62.109 (59.982) Epoch: [4][4070/5809] Time 0.396 (0.449) Data 0.330 (0.378) Loss 2.8412 (2.9507) Prec@1 32.422 (30.417) Prec@5 61.719 (59.983) Epoch: [4][4080/5809] Time 0.825 (0.449) Data 0.765 (0.377) Loss 2.7935 (2.9506) Prec@1 31.250 (30.416) Prec@5 60.547 (59.985) Epoch: [4][4090/5809] Time 0.369 (0.449) Data 0.311 (0.377) Loss 2.9647 (2.9504) Prec@1 30.469 (30.417) Prec@5 61.328 (59.987) Epoch: [4][4100/5809] Time 0.841 (0.449) Data 0.774 (0.377) Loss 2.9949 (2.9503) Prec@1 28.906 (30.420) Prec@5 60.156 (59.987) Epoch: [4][4110/5809] Time 0.457 (0.449) Data 0.391 (0.377) Loss 2.9784 (2.9501) Prec@1 28.516 (30.422) Prec@5 60.156 (59.990) Epoch: [4][4120/5809] Time 0.942 (0.449) Data 0.883 (0.377) Loss 2.7036 (2.9498) Prec@1 35.547 (30.427) Prec@5 63.281 (59.994) Epoch: [4][4130/5809] Time 0.321 (0.449) Data 0.247 (0.377) Loss 2.7297 (2.9498) Prec@1 33.203 (30.429) Prec@5 62.891 (59.993) Epoch: [4][4140/5809] Time 0.778 (0.448) Data 0.713 (0.377) Loss 2.7232 (2.9497) Prec@1 32.031 (30.428) Prec@5 65.625 (59.993) Epoch: [4][4150/5809] Time 0.134 (0.448) Data 0.071 (0.377) Loss 2.9614 (2.9495) Prec@1 32.422 (30.432) Prec@5 60.547 (59.995) Epoch: [4][4160/5809] Time 0.830 (0.448) Data 0.769 (0.377) Loss 2.7645 (2.9496) Prec@1 32.031 (30.428) Prec@5 63.672 (59.994) Epoch: [4][4170/5809] Time 0.495 (0.448) Data 0.436 (0.377) Loss 2.9450 (2.9497) Prec@1 30.859 (30.428) Prec@5 62.891 (59.992) Epoch: [4][4180/5809] Time 0.132 (0.448) Data 0.009 (0.377) Loss 3.0411 (2.9497) Prec@1 28.516 (30.428) Prec@5 55.469 (59.991) Epoch: [4][4190/5809] Time 0.189 (0.448) Data 0.129 (0.376) Loss 2.8128 (2.9497) Prec@1 29.297 (30.426) Prec@5 62.500 (59.992) Epoch: [4][4200/5809] Time 0.127 (0.448) Data 0.049 (0.376) Loss 2.9665 (2.9496) Prec@1 28.516 (30.427) Prec@5 62.891 (59.995) Epoch: [4][4210/5809] Time 0.131 (0.448) Data 0.049 (0.376) Loss 3.0723 (2.9493) Prec@1 30.469 (30.433) Prec@5 57.812 (60.003) Epoch: [4][4220/5809] Time 0.190 (0.448) Data 0.126 (0.376) Loss 3.1282 (2.9492) Prec@1 28.516 (30.435) Prec@5 53.906 (60.002) Epoch: [4][4230/5809] Time 0.134 (0.448) Data 0.001 (0.376) Loss 2.9533 (2.9492) Prec@1 28.906 (30.431) Prec@5 60.547 (60.001) Epoch: [4][4240/5809] Time 0.597 (0.448) Data 0.537 (0.377) Loss 3.0235 (2.9492) Prec@1 29.297 (30.432) Prec@5 59.766 (60.002) Epoch: [4][4250/5809] Time 0.321 (0.448) Data 0.260 (0.377) Loss 2.9776 (2.9492) Prec@1 28.906 (30.432) Prec@5 58.203 (59.999) Epoch: [4][4260/5809] Time 0.222 (0.448) Data 0.163 (0.377) Loss 2.7402 (2.9492) Prec@1 31.250 (30.428) Prec@5 64.844 (59.999) Epoch: [4][4270/5809] Time 0.238 (0.448) Data 0.177 (0.377) Loss 2.8829 (2.9492) Prec@1 32.812 (30.430) Prec@5 60.156 (60.002) Epoch: [4][4280/5809] Time 0.132 (0.448) Data 0.054 (0.377) Loss 2.7354 (2.9490) Prec@1 34.375 (30.433) Prec@5 63.672 (60.004) Epoch: [4][4290/5809] Time 0.133 (0.448) Data 0.003 (0.377) Loss 3.0006 (2.9489) Prec@1 29.688 (30.438) Prec@5 59.766 (60.009) Epoch: [4][4300/5809] Time 0.226 (0.448) Data 0.166 (0.377) Loss 2.8486 (2.9488) Prec@1 28.906 (30.437) Prec@5 59.766 (60.009) Epoch: [4][4310/5809] Time 0.325 (0.448) Data 0.267 (0.377) Loss 2.9595 (2.9487) Prec@1 26.953 (30.437) Prec@5 59.766 (60.011) Epoch: [4][4320/5809] Time 0.500 (0.448) Data 0.441 (0.377) Loss 2.9794 (2.9486) Prec@1 28.516 (30.436) Prec@5 57.422 (60.016) Epoch: [4][4330/5809] Time 0.573 (0.448) Data 0.513 (0.377) Loss 2.6528 (2.9484) Prec@1 33.984 (30.439) Prec@5 66.797 (60.019) Epoch: [4][4340/5809] Time 0.133 (0.448) Data 0.001 (0.377) Loss 3.0256 (2.9486) Prec@1 27.344 (30.435) Prec@5 58.203 (60.013) Epoch: [4][4350/5809] Time 0.800 (0.448) Data 0.742 (0.377) Loss 3.0284 (2.9485) Prec@1 27.344 (30.439) Prec@5 58.203 (60.016) Epoch: [4][4360/5809] Time 0.133 (0.448) Data 0.001 (0.377) Loss 3.0423 (2.9485) Prec@1 26.953 (30.437) Prec@5 60.547 (60.018) Epoch: [4][4370/5809] Time 0.739 (0.448) Data 0.680 (0.377) Loss 2.7745 (2.9485) Prec@1 31.641 (30.437) Prec@5 64.453 (60.021) Epoch: [4][4380/5809] Time 0.133 (0.448) Data 0.043 (0.377) Loss 3.0657 (2.9485) Prec@1 27.734 (30.437) Prec@5 55.469 (60.021) Epoch: [4][4390/5809] Time 1.190 (0.448) Data 1.125 (0.377) Loss 2.6426 (2.9484) Prec@1 32.812 (30.438) Prec@5 63.672 (60.024) Epoch: [4][4400/5809] Time 0.133 (0.448) Data 0.001 (0.376) Loss 3.0984 (2.9483) Prec@1 28.125 (30.441) Prec@5 58.594 (60.026) Epoch: [4][4410/5809] Time 0.959 (0.448) Data 0.893 (0.376) Loss 2.9961 (2.9483) Prec@1 26.953 (30.440) Prec@5 59.766 (60.027) Epoch: [4][4420/5809] Time 0.132 (0.448) Data 0.043 (0.376) Loss 2.7927 (2.9482) Prec@1 32.031 (30.440) Prec@5 64.062 (60.029) Epoch: [4][4430/5809] Time 1.152 (0.448) Data 1.093 (0.376) Loss 2.9808 (2.9482) Prec@1 30.469 (30.444) Prec@5 61.719 (60.030) Epoch: [4][4440/5809] Time 0.136 (0.448) Data 0.047 (0.376) Loss 2.9000 (2.9481) Prec@1 35.156 (30.447) Prec@5 58.984 (60.032) Epoch: [4][4450/5809] Time 1.205 (0.448) Data 1.141 (0.376) Loss 2.9435 (2.9480) Prec@1 31.641 (30.449) Prec@5 62.891 (60.035) Epoch: [4][4460/5809] Time 0.174 (0.448) Data 0.115 (0.376) Loss 3.0813 (2.9480) Prec@1 25.000 (30.444) Prec@5 58.594 (60.034) Epoch: [4][4470/5809] Time 0.761 (0.448) Data 0.693 (0.376) Loss 3.0384 (2.9480) Prec@1 32.812 (30.445) Prec@5 58.203 (60.036) Epoch: [4][4480/5809] Time 0.169 (0.448) Data 0.106 (0.376) Loss 2.8566 (2.9480) Prec@1 30.469 (30.445) Prec@5 58.203 (60.034) Epoch: [4][4490/5809] Time 0.452 (0.448) Data 0.394 (0.376) Loss 3.1059 (2.9480) Prec@1 27.344 (30.444) Prec@5 59.375 (60.036) Epoch: [4][4500/5809] Time 0.133 (0.448) Data 0.044 (0.376) Loss 2.9005 (2.9480) Prec@1 32.812 (30.444) Prec@5 62.891 (60.037) Epoch: [4][4510/5809] Time 0.485 (0.448) Data 0.421 (0.376) Loss 2.8663 (2.9480) Prec@1 33.203 (30.442) Prec@5 62.891 (60.040) Epoch: [4][4520/5809] Time 0.134 (0.448) Data 0.001 (0.376) Loss 3.1892 (2.9481) Prec@1 31.250 (30.446) Prec@5 48.438 (60.036) Epoch: [4][4530/5809] Time 0.500 (0.448) Data 0.440 (0.376) Loss 3.0806 (2.9481) Prec@1 28.516 (30.445) Prec@5 56.641 (60.035) Epoch: [4][4540/5809] Time 0.205 (0.448) Data 0.146 (0.376) Loss 2.8330 (2.9478) Prec@1 32.422 (30.449) Prec@5 61.719 (60.041) Epoch: [4][4550/5809] Time 0.228 (0.448) Data 0.164 (0.376) Loss 3.2066 (2.9479) Prec@1 28.906 (30.449) Prec@5 55.078 (60.042) Epoch: [4][4560/5809] Time 0.412 (0.448) Data 0.354 (0.376) Loss 2.9734 (2.9478) Prec@1 30.859 (30.450) Prec@5 58.594 (60.043) Epoch: [4][4570/5809] Time 0.393 (0.448) Data 0.333 (0.376) Loss 3.0036 (2.9479) Prec@1 26.953 (30.450) Prec@5 57.031 (60.042) Epoch: [4][4580/5809] Time 0.161 (0.448) Data 0.101 (0.376) Loss 2.7386 (2.9477) Prec@1 31.250 (30.450) Prec@5 62.500 (60.046) Epoch: [4][4590/5809] Time 0.400 (0.448) Data 0.341 (0.376) Loss 3.0716 (2.9478) Prec@1 25.781 (30.449) Prec@5 56.250 (60.045) Epoch: [4][4600/5809] Time 0.314 (0.448) Data 0.255 (0.376) Loss 3.0020 (2.9477) Prec@1 25.781 (30.450) Prec@5 60.156 (60.048) Epoch: [4][4610/5809] Time 0.518 (0.448) Data 0.457 (0.376) Loss 3.0092 (2.9478) Prec@1 30.469 (30.447) Prec@5 56.250 (60.045) Epoch: [4][4620/5809] Time 0.499 (0.448) Data 0.436 (0.376) Loss 2.9097 (2.9477) Prec@1 30.469 (30.450) Prec@5 57.031 (60.046) Epoch: [4][4630/5809] Time 0.133 (0.448) Data 0.001 (0.376) Loss 2.9001 (2.9477) Prec@1 30.078 (30.450) Prec@5 58.203 (60.042) Epoch: [4][4640/5809] Time 0.593 (0.448) Data 0.533 (0.376) Loss 2.9385 (2.9477) Prec@1 27.734 (30.448) Prec@5 60.547 (60.042) Epoch: [4][4650/5809] Time 0.294 (0.448) Data 0.231 (0.376) Loss 3.0793 (2.9477) Prec@1 28.516 (30.449) Prec@5 53.516 (60.040) Epoch: [4][4660/5809] Time 0.478 (0.448) Data 0.419 (0.376) Loss 2.9798 (2.9476) Prec@1 32.031 (30.449) Prec@5 57.812 (60.041) Epoch: [4][4670/5809] Time 0.134 (0.448) Data 0.001 (0.376) Loss 3.0352 (2.9475) Prec@1 30.859 (30.450) Prec@5 57.031 (60.042) Epoch: [4][4680/5809] Time 0.456 (0.448) Data 0.396 (0.376) Loss 3.0740 (2.9475) Prec@1 26.953 (30.451) Prec@5 58.594 (60.042) Epoch: [4][4690/5809] Time 0.172 (0.447) Data 0.109 (0.375) Loss 2.8826 (2.9476) Prec@1 35.547 (30.450) Prec@5 61.719 (60.040) Epoch: [4][4700/5809] Time 0.330 (0.447) Data 0.270 (0.375) Loss 3.0215 (2.9475) Prec@1 26.172 (30.451) Prec@5 56.250 (60.040) Epoch: [4][4710/5809] Time 0.346 (0.447) Data 0.287 (0.375) Loss 2.8746 (2.9476) Prec@1 30.859 (30.450) Prec@5 60.156 (60.035) Epoch: [4][4720/5809] Time 0.329 (0.447) Data 0.269 (0.375) Loss 2.7205 (2.9476) Prec@1 37.500 (30.450) Prec@5 65.234 (60.037) Epoch: [4][4730/5809] Time 0.200 (0.447) Data 0.136 (0.375) Loss 2.8685 (2.9475) Prec@1 32.812 (30.451) Prec@5 60.938 (60.039) Epoch: [4][4740/5809] Time 0.438 (0.447) Data 0.379 (0.375) Loss 3.0266 (2.9474) Prec@1 28.125 (30.452) Prec@5 58.594 (60.041) Epoch: [4][4750/5809] Time 0.132 (0.447) Data 0.001 (0.375) Loss 2.8555 (2.9473) Prec@1 27.734 (30.454) Prec@5 62.109 (60.043) Epoch: [4][4760/5809] Time 0.519 (0.447) Data 0.457 (0.375) Loss 3.0483 (2.9473) Prec@1 25.781 (30.455) Prec@5 58.203 (60.041) Epoch: [4][4770/5809] Time 0.233 (0.447) Data 0.172 (0.375) Loss 2.8607 (2.9472) Prec@1 30.859 (30.456) Prec@5 62.891 (60.044) Epoch: [4][4780/5809] Time 0.500 (0.447) Data 0.441 (0.375) Loss 2.9577 (2.9473) Prec@1 33.203 (30.456) Prec@5 59.375 (60.041) Epoch: [4][4790/5809] Time 0.132 (0.447) Data 0.051 (0.375) Loss 2.8835 (2.9473) Prec@1 32.422 (30.457) Prec@5 64.062 (60.042) Epoch: [4][4800/5809] Time 0.531 (0.447) Data 0.469 (0.375) Loss 2.8787 (2.9473) Prec@1 29.297 (30.456) Prec@5 58.203 (60.042) Epoch: [4][4810/5809] Time 0.133 (0.447) Data 0.047 (0.375) Loss 2.7545 (2.9471) Prec@1 33.203 (30.457) Prec@5 66.406 (60.047) Epoch: [4][4820/5809] Time 0.640 (0.447) Data 0.577 (0.375) Loss 2.9277 (2.9471) Prec@1 33.203 (30.458) Prec@5 61.328 (60.048) Epoch: [4][4830/5809] Time 0.183 (0.447) Data 0.120 (0.375) Loss 3.0642 (2.9471) Prec@1 28.906 (30.456) Prec@5 57.812 (60.048) Epoch: [4][4840/5809] Time 0.815 (0.447) Data 0.756 (0.375) Loss 2.8298 (2.9472) Prec@1 35.547 (30.458) Prec@5 60.547 (60.048) Epoch: [4][4850/5809] Time 0.230 (0.447) Data 0.171 (0.375) Loss 2.9159 (2.9472) Prec@1 32.031 (30.459) Prec@5 58.984 (60.048) Epoch: [4][4860/5809] Time 0.635 (0.447) Data 0.575 (0.375) Loss 2.9990 (2.9471) Prec@1 27.734 (30.459) Prec@5 62.109 (60.050) Epoch: [4][4870/5809] Time 0.132 (0.447) Data 0.001 (0.375) Loss 3.0860 (2.9472) Prec@1 27.344 (30.459) Prec@5 58.594 (60.049) Epoch: [4][4880/5809] Time 0.483 (0.447) Data 0.424 (0.375) Loss 3.0510 (2.9470) Prec@1 26.562 (30.463) Prec@5 60.547 (60.054) Epoch: [4][4890/5809] Time 0.167 (0.447) Data 0.108 (0.375) Loss 2.8582 (2.9470) Prec@1 32.812 (30.462) Prec@5 62.109 (60.053) Epoch: [4][4900/5809] Time 0.518 (0.447) Data 0.455 (0.375) Loss 2.8579 (2.9470) Prec@1 28.516 (30.461) Prec@5 63.281 (60.055) Epoch: [4][4910/5809] Time 0.164 (0.447) Data 0.104 (0.375) Loss 3.0475 (2.9470) Prec@1 26.562 (30.462) Prec@5 58.984 (60.055) Epoch: [4][4920/5809] Time 0.727 (0.447) Data 0.667 (0.375) Loss 3.0591 (2.9469) Prec@1 30.078 (30.465) Prec@5 57.812 (60.057) Epoch: [4][4930/5809] Time 0.277 (0.447) Data 0.214 (0.375) Loss 2.8043 (2.9467) Prec@1 30.078 (30.469) Prec@5 64.844 (60.061) Epoch: [4][4940/5809] Time 0.360 (0.447) Data 0.301 (0.375) Loss 2.6957 (2.9467) Prec@1 32.812 (30.468) Prec@5 66.797 (60.062) Epoch: [4][4950/5809] Time 0.128 (0.447) Data 0.044 (0.375) Loss 2.9741 (2.9466) Prec@1 28.516 (30.468) Prec@5 60.156 (60.063) Epoch: [4][4960/5809] Time 0.527 (0.447) Data 0.468 (0.375) Loss 2.9817 (2.9466) Prec@1 26.953 (30.469) Prec@5 57.422 (60.065) Epoch: [4][4970/5809] Time 0.133 (0.447) Data 0.001 (0.375) Loss 2.8800 (2.9466) Prec@1 33.203 (30.468) Prec@5 64.844 (60.066) Epoch: [4][4980/5809] Time 1.027 (0.447) Data 0.968 (0.375) Loss 2.7863 (2.9465) Prec@1 30.469 (30.470) Prec@5 62.500 (60.067) Epoch: [4][4990/5809] Time 0.134 (0.447) Data 0.001 (0.375) Loss 2.9246 (2.9464) Prec@1 31.641 (30.475) Prec@5 53.906 (60.067) Epoch: [4][5000/5809] Time 0.920 (0.447) Data 0.860 (0.375) Loss 2.9404 (2.9463) Prec@1 33.203 (30.474) Prec@5 60.547 (60.068) Epoch: [4][5010/5809] Time 0.222 (0.447) Data 0.157 (0.375) Loss 2.6909 (2.9461) Prec@1 35.547 (30.477) Prec@5 65.625 (60.073) Epoch: [4][5020/5809] Time 1.548 (0.447) Data 1.488 (0.375) Loss 2.8603 (2.9461) Prec@1 33.594 (30.477) Prec@5 63.281 (60.073) Epoch: [4][5030/5809] Time 0.161 (0.447) Data 0.096 (0.375) Loss 2.9226 (2.9461) Prec@1 30.078 (30.478) Prec@5 62.891 (60.075) Epoch: [4][5040/5809] Time 1.419 (0.447) Data 1.352 (0.375) Loss 2.8027 (2.9460) Prec@1 29.688 (30.482) Prec@5 62.500 (60.076) Epoch: [4][5050/5809] Time 0.134 (0.447) Data 0.001 (0.375) Loss 2.9703 (2.9460) Prec@1 32.031 (30.482) Prec@5 59.766 (60.074) Epoch: [4][5060/5809] Time 1.153 (0.447) Data 1.087 (0.375) Loss 2.9377 (2.9459) Prec@1 35.156 (30.483) Prec@5 61.328 (60.076) Epoch: [4][5070/5809] Time 0.134 (0.447) Data 0.001 (0.375) Loss 2.8724 (2.9459) Prec@1 32.031 (30.481) Prec@5 61.719 (60.077) Epoch: [4][5080/5809] Time 1.069 (0.447) Data 1.010 (0.375) Loss 2.8565 (2.9457) Prec@1 32.031 (30.486) Prec@5 61.328 (60.081) Epoch: [4][5090/5809] Time 0.174 (0.447) Data 0.114 (0.375) Loss 2.7020 (2.9457) Prec@1 35.156 (30.488) Prec@5 63.672 (60.084) Epoch: [4][5100/5809] Time 0.894 (0.447) Data 0.836 (0.375) Loss 2.8074 (2.9456) Prec@1 33.203 (30.492) Prec@5 65.625 (60.087) Epoch: [4][5110/5809] Time 0.182 (0.446) Data 0.123 (0.375) Loss 2.7474 (2.9456) Prec@1 36.719 (30.493) Prec@5 63.281 (60.087) Epoch: [4][5120/5809] Time 0.828 (0.447) Data 0.769 (0.375) Loss 3.0409 (2.9455) Prec@1 32.031 (30.496) Prec@5 55.859 (60.089) Epoch: [4][5130/5809] Time 0.226 (0.446) Data 0.167 (0.374) Loss 3.0747 (2.9455) Prec@1 25.781 (30.495) Prec@5 57.031 (60.089) Epoch: [4][5140/5809] Time 0.653 (0.446) Data 0.590 (0.375) Loss 2.9216 (2.9454) Prec@1 27.734 (30.498) Prec@5 59.375 (60.091) Epoch: [4][5150/5809] Time 0.679 (0.446) Data 0.618 (0.375) Loss 2.8352 (2.9455) Prec@1 32.422 (30.497) Prec@5 60.938 (60.091) Epoch: [4][5160/5809] Time 0.667 (0.446) Data 0.608 (0.375) Loss 2.8688 (2.9455) Prec@1 34.375 (30.498) Prec@5 61.328 (60.092) Epoch: [4][5170/5809] Time 0.459 (0.446) Data 0.400 (0.374) Loss 2.9639 (2.9455) Prec@1 30.078 (30.499) Prec@5 60.938 (60.093) Epoch: [4][5180/5809] Time 0.616 (0.446) Data 0.557 (0.374) Loss 2.8375 (2.9455) Prec@1 32.031 (30.499) Prec@5 59.375 (60.091) Epoch: [4][5190/5809] Time 0.687 (0.446) Data 0.627 (0.374) Loss 2.9599 (2.9454) Prec@1 32.812 (30.500) Prec@5 58.984 (60.094) Epoch: [4][5200/5809] Time 0.584 (0.446) Data 0.525 (0.374) Loss 2.9861 (2.9453) Prec@1 28.516 (30.500) Prec@5 61.328 (60.096) Epoch: [4][5210/5809] Time 0.600 (0.446) Data 0.534 (0.374) Loss 3.0274 (2.9453) Prec@1 31.641 (30.500) Prec@5 57.812 (60.094) Epoch: [4][5220/5809] Time 0.587 (0.446) Data 0.527 (0.374) Loss 3.0064 (2.9454) Prec@1 30.469 (30.499) Prec@5 57.031 (60.091) Epoch: [4][5230/5809] Time 0.132 (0.446) Data 0.045 (0.374) Loss 3.0597 (2.9453) Prec@1 27.734 (30.500) Prec@5 58.984 (60.093) Epoch: [4][5240/5809] Time 1.013 (0.446) Data 0.955 (0.375) Loss 2.8814 (2.9453) Prec@1 32.422 (30.498) Prec@5 64.062 (60.095) Epoch: [4][5250/5809] Time 0.134 (0.446) Data 0.049 (0.374) Loss 2.8325 (2.9454) Prec@1 32.422 (30.498) Prec@5 62.109 (60.093) Epoch: [4][5260/5809] Time 1.008 (0.446) Data 0.949 (0.374) Loss 2.8489 (2.9456) Prec@1 30.469 (30.497) Prec@5 60.547 (60.090) Epoch: [4][5270/5809] Time 0.132 (0.446) Data 0.045 (0.374) Loss 3.2540 (2.9456) Prec@1 24.219 (30.494) Prec@5 55.859 (60.090) Epoch: [4][5280/5809] Time 1.279 (0.446) Data 1.214 (0.374) Loss 2.7551 (2.9454) Prec@1 34.766 (30.497) Prec@5 61.719 (60.091) Epoch: [4][5290/5809] Time 0.133 (0.446) Data 0.043 (0.374) Loss 2.9221 (2.9454) Prec@1 29.688 (30.499) Prec@5 60.547 (60.093) Epoch: [4][5300/5809] Time 1.331 (0.446) Data 1.271 (0.374) Loss 2.7811 (2.9453) Prec@1 35.156 (30.500) Prec@5 62.891 (60.096) Epoch: [4][5310/5809] Time 0.133 (0.446) Data 0.042 (0.374) Loss 2.9224 (2.9452) Prec@1 28.125 (30.501) Prec@5 62.891 (60.098) Epoch: [4][5320/5809] Time 1.225 (0.446) Data 1.165 (0.374) Loss 2.7405 (2.9451) Prec@1 34.766 (30.502) Prec@5 65.234 (60.100) Epoch: [4][5330/5809] Time 0.141 (0.446) Data 0.047 (0.374) Loss 2.5080 (2.9450) Prec@1 35.938 (30.500) Prec@5 70.312 (60.104) Epoch: [4][5340/5809] Time 1.522 (0.446) Data 1.455 (0.374) Loss 2.9525 (2.9450) Prec@1 33.594 (30.501) Prec@5 58.984 (60.105) Epoch: [4][5350/5809] Time 0.132 (0.446) Data 0.001 (0.374) Loss 2.9881 (2.9449) Prec@1 29.297 (30.501) Prec@5 58.594 (60.105) Epoch: [4][5360/5809] Time 1.295 (0.446) Data 1.231 (0.374) Loss 2.7234 (2.9449) Prec@1 33.594 (30.499) Prec@5 63.281 (60.103) Epoch: [4][5370/5809] Time 0.137 (0.446) Data 0.046 (0.374) Loss 2.8506 (2.9448) Prec@1 34.375 (30.501) Prec@5 61.719 (60.105) Epoch: [4][5380/5809] Time 1.143 (0.446) Data 1.078 (0.374) Loss 3.0883 (2.9449) Prec@1 30.078 (30.502) Prec@5 55.859 (60.106) Epoch: [4][5390/5809] Time 0.130 (0.446) Data 0.047 (0.374) Loss 2.8536 (2.9449) Prec@1 31.641 (30.503) Prec@5 62.891 (60.105) Epoch: [4][5400/5809] Time 0.945 (0.446) Data 0.878 (0.374) Loss 2.9732 (2.9449) Prec@1 30.859 (30.503) Prec@5 58.594 (60.105) Epoch: [4][5410/5809] Time 0.133 (0.446) Data 0.001 (0.374) Loss 2.9794 (2.9447) Prec@1 30.078 (30.505) Prec@5 59.766 (60.108) Epoch: [4][5420/5809] Time 0.583 (0.446) Data 0.523 (0.374) Loss 2.8876 (2.9447) Prec@1 32.422 (30.506) Prec@5 59.375 (60.110) Epoch: [4][5430/5809] Time 0.166 (0.446) Data 0.108 (0.374) Loss 2.8856 (2.9447) Prec@1 31.250 (30.507) Prec@5 64.844 (60.110) Epoch: [4][5440/5809] Time 0.603 (0.446) Data 0.542 (0.374) Loss 2.9195 (2.9446) Prec@1 32.031 (30.507) Prec@5 61.328 (60.111) Epoch: [4][5450/5809] Time 0.133 (0.446) Data 0.044 (0.374) Loss 2.6724 (2.9446) Prec@1 35.938 (30.507) Prec@5 66.016 (60.110) Epoch: [4][5460/5809] Time 0.555 (0.446) Data 0.495 (0.374) Loss 2.9400 (2.9445) Prec@1 31.250 (30.508) Prec@5 60.156 (60.111) Epoch: [4][5470/5809] Time 0.132 (0.446) Data 0.001 (0.374) Loss 2.9006 (2.9445) Prec@1 33.984 (30.509) Prec@5 60.547 (60.114) Epoch: [4][5480/5809] Time 0.133 (0.446) Data 0.001 (0.374) Loss 3.0651 (2.9443) Prec@1 27.734 (30.512) Prec@5 58.594 (60.116) Epoch: [4][5490/5809] Time 0.175 (0.446) Data 0.116 (0.374) Loss 2.9429 (2.9443) Prec@1 32.031 (30.514) Prec@5 61.719 (60.119) Epoch: [4][5500/5809] Time 0.297 (0.446) Data 0.237 (0.374) Loss 2.8048 (2.9442) Prec@1 30.859 (30.515) Prec@5 62.109 (60.121) Epoch: [4][5510/5809] Time 0.182 (0.446) Data 0.122 (0.374) Loss 3.0206 (2.9441) Prec@1 27.734 (30.516) Prec@5 56.250 (60.122) Epoch: [4][5520/5809] Time 0.482 (0.446) Data 0.423 (0.374) Loss 2.8566 (2.9440) Prec@1 25.781 (30.515) Prec@5 59.766 (60.124) Epoch: [4][5530/5809] Time 0.135 (0.446) Data 0.051 (0.374) Loss 2.9850 (2.9441) Prec@1 25.391 (30.513) Prec@5 55.469 (60.123) Epoch: [4][5540/5809] Time 0.364 (0.446) Data 0.301 (0.374) Loss 2.7918 (2.9439) Prec@1 33.203 (30.518) Prec@5 63.672 (60.128) Epoch: [4][5550/5809] Time 0.144 (0.446) Data 0.084 (0.374) Loss 3.0995 (2.9440) Prec@1 25.781 (30.516) Prec@5 58.984 (60.127) Epoch: [4][5560/5809] Time 0.884 (0.446) Data 0.821 (0.374) Loss 2.7454 (2.9439) Prec@1 35.156 (30.517) Prec@5 63.281 (60.127) Epoch: [4][5570/5809] Time 0.133 (0.446) Data 0.043 (0.374) Loss 2.8547 (2.9439) Prec@1 30.859 (30.517) Prec@5 65.234 (60.129) Epoch: [4][5580/5809] Time 0.590 (0.446) Data 0.532 (0.374) Loss 3.1423 (2.9440) Prec@1 25.781 (30.515) Prec@5 58.984 (60.127) Epoch: [4][5590/5809] Time 0.273 (0.446) Data 0.214 (0.374) Loss 3.0470 (2.9441) Prec@1 30.859 (30.515) Prec@5 58.984 (60.126) Epoch: [4][5600/5809] Time 0.342 (0.446) Data 0.282 (0.374) Loss 2.8859 (2.9440) Prec@1 35.547 (30.516) Prec@5 58.594 (60.128) Epoch: [4][5610/5809] Time 0.128 (0.446) Data 0.047 (0.374) Loss 2.7922 (2.9439) Prec@1 35.156 (30.519) Prec@5 62.500 (60.130) Epoch: [4][5620/5809] Time 0.531 (0.446) Data 0.470 (0.374) Loss 2.8184 (2.9438) Prec@1 32.812 (30.521) Prec@5 62.500 (60.130) Epoch: [4][5630/5809] Time 0.617 (0.446) Data 0.557 (0.374) Loss 2.8670 (2.9437) Prec@1 30.078 (30.523) Prec@5 62.109 (60.133) Epoch: [4][5640/5809] Time 0.343 (0.446) Data 0.283 (0.374) Loss 2.9838 (2.9438) Prec@1 26.172 (30.520) Prec@5 58.203 (60.131) Epoch: [4][5650/5809] Time 0.312 (0.446) Data 0.250 (0.374) Loss 2.9356 (2.9438) Prec@1 34.766 (30.520) Prec@5 59.766 (60.132) Epoch: [4][5660/5809] Time 0.503 (0.446) Data 0.441 (0.374) Loss 3.1116 (2.9438) Prec@1 24.609 (30.521) Prec@5 55.859 (60.133) Epoch: [4][5670/5809] Time 0.203 (0.446) Data 0.140 (0.374) Loss 2.8577 (2.9436) Prec@1 32.031 (30.523) Prec@5 64.453 (60.136) Epoch: [4][5680/5809] Time 0.897 (0.446) Data 0.838 (0.374) Loss 3.0041 (2.9436) Prec@1 30.859 (30.524) Prec@5 59.766 (60.139) Epoch: [4][5690/5809] Time 0.394 (0.446) Data 0.335 (0.374) Loss 2.8644 (2.9435) Prec@1 30.859 (30.526) Prec@5 61.328 (60.139) Epoch: [4][5700/5809] Time 0.584 (0.446) Data 0.525 (0.374) Loss 3.0821 (2.9435) Prec@1 26.172 (30.524) Prec@5 54.688 (60.138) Epoch: [4][5710/5809] Time 0.134 (0.446) Data 0.001 (0.374) Loss 2.8666 (2.9434) Prec@1 33.203 (30.525) Prec@5 60.938 (60.139) Epoch: [4][5720/5809] Time 0.541 (0.446) Data 0.480 (0.374) Loss 3.0596 (2.9434) Prec@1 26.953 (30.524) Prec@5 55.859 (60.141) Epoch: [4][5730/5809] Time 0.310 (0.446) Data 0.251 (0.374) Loss 2.9563 (2.9434) Prec@1 29.688 (30.526) Prec@5 60.156 (60.139) Epoch: [4][5740/5809] Time 0.201 (0.446) Data 0.143 (0.374) Loss 3.0361 (2.9434) Prec@1 26.953 (30.525) Prec@5 56.250 (60.140) Epoch: [4][5750/5809] Time 0.132 (0.446) Data 0.001 (0.374) Loss 2.5988 (2.9434) Prec@1 38.281 (30.526) Prec@5 69.531 (60.141) Epoch: [4][5760/5809] Time 0.259 (0.446) Data 0.199 (0.374) Loss 2.8592 (2.9433) Prec@1 32.031 (30.526) Prec@5 59.766 (60.142) Epoch: [4][5770/5809] Time 0.553 (0.446) Data 0.490 (0.374) Loss 2.8999 (2.9434) Prec@1 32.422 (30.526) Prec@5 60.547 (60.139) Epoch: [4][5780/5809] Time 0.580 (0.446) Data 0.521 (0.374) Loss 3.0708 (2.9434) Prec@1 29.297 (30.527) Prec@5 58.203 (60.139) Epoch: [4][5790/5809] Time 0.303 (0.446) Data 0.244 (0.374) Loss 2.7615 (2.9433) Prec@1 35.547 (30.528) Prec@5 63.672 (60.140) Epoch: [4][5800/5809] Time 0.607 (0.446) Data 0.548 (0.374) Loss 2.7815 (2.9432) Prec@1 31.250 (30.531) Prec@5 65.625 (60.143) Test: [0/143] Time 1.958 (1.958) Loss 1.9506 (1.9506) Prec@1 49.219 (49.219) Prec@5 83.594 (83.594) Test: [10/143] Time 0.329 (0.501) Loss 9.3657 (8.4359) Prec@1 0.000 (6.250) Prec@5 0.000 (13.175) Test: [20/143] Time 0.833 (0.477) Loss 10.9123 (9.2181) Prec@1 0.000 (3.348) Prec@5 0.391 (7.664) Test: [30/143] Time 0.250 (0.433) Loss 12.0044 (9.6646) Prec@1 0.000 (2.319) Prec@5 0.391 (5.444) Test: [40/143] Time 0.500 (0.434) Loss 9.7752 (9.7723) Prec@1 0.781 (1.791) Prec@5 1.953 (4.325) Test: [50/143] Time 0.107 (0.415) Loss 8.1451 (9.7760) Prec@1 0.391 (1.578) Prec@5 3.125 (4.419) Test: [60/143] Time 0.410 (0.421) Loss 10.9736 (9.8472) Prec@1 0.000 (1.358) Prec@5 0.391 (3.817) Test: [70/143] Time 0.057 (0.421) Loss 8.5948 (9.9218) Prec@1 0.000 (1.216) Prec@5 1.172 (3.549) Test: [80/143] Time 0.640 (0.424) Loss 8.0791 (9.9007) Prec@1 0.391 (1.133) Prec@5 1.172 (3.371) Test: [90/143] Time 0.617 (0.421) Loss 8.2820 (9.8313) Prec@1 0.000 (1.026) Prec@5 1.953 (3.215) Test: [100/143] Time 0.528 (0.418) Loss 10.2287 (9.8193) Prec@1 0.000 (0.951) Prec@5 0.391 (3.017) Test: [110/143] Time 0.945 (0.417) Loss 12.2513 (9.8053) Prec@1 0.000 (0.869) Prec@5 0.000 (2.858) Test: [120/143] Time 0.055 (0.410) Loss 13.1944 (9.8813) Prec@1 0.000 (0.814) Prec@5 0.000 (2.738) Test: [130/143] Time 0.943 (0.411) Loss 13.5221 (10.2098) Prec@1 0.000 (0.751) Prec@5 0.000 (2.529) Test: [140/143] Time 0.403 (0.408) Loss 14.8557 (10.4862) Prec@1 0.000 (0.698) Prec@5 0.000 (2.349) * Prec@1 0.691 Prec@5 2.324 Epoch: [5][0/5809] Time 3.221 (3.221) Data 3.158 (3.158) Loss 2.8551 (2.8551) Prec@1 32.422 (32.422) Prec@5 63.281 (63.281) Epoch: [5][10/5809] Time 0.315 (0.648) Data 0.252 (0.547) Loss 2.9589 (2.8772) Prec@1 27.344 (30.611) Prec@5 59.375 (61.399) Epoch: [5][20/5809] Time 1.654 (0.615) Data 1.590 (0.525) Loss 3.0898 (2.8775) Prec@1 31.641 (31.789) Prec@5 59.766 (61.830) Epoch: [5][30/5809] Time 0.386 (0.550) Data 0.326 (0.462) Loss 3.0531 (2.8821) Prec@1 28.125 (31.641) Prec@5 54.688 (61.240) Epoch: [5][40/5809] Time 1.187 (0.537) Data 1.127 (0.450) Loss 2.9585 (2.8821) Prec@1 28.516 (31.412) Prec@5 62.500 (61.147) Epoch: [5][50/5809] Time 0.134 (0.516) Data 0.001 (0.430) Loss 2.7791 (2.8773) Prec@1 31.641 (31.464) Prec@5 65.234 (61.305) Epoch: [5][60/5809] Time 1.158 (0.520) Data 1.098 (0.436) Loss 2.9274 (2.8762) Prec@1 32.422 (31.429) Prec@5 61.328 (61.328) Epoch: [5][70/5809] Time 0.238 (0.509) Data 0.174 (0.427) Loss 3.1422 (2.8882) Prec@1 27.344 (31.156) Prec@5 53.906 (61.031) Epoch: [5][80/5809] Time 1.033 (0.509) Data 0.974 (0.430) Loss 2.8356 (2.8848) Prec@1 34.375 (31.269) Prec@5 62.109 (61.082) Epoch: [5][90/5809] Time 0.133 (0.500) Data 0.001 (0.421) Loss 2.8536 (2.8830) Prec@1 33.984 (31.233) Prec@5 61.328 (61.019) Epoch: [5][100/5809] Time 0.898 (0.500) Data 0.831 (0.422) Loss 2.5496 (2.8789) Prec@1 39.844 (31.420) Prec@5 67.969 (61.088) Epoch: [5][110/5809] Time 0.193 (0.495) Data 0.134 (0.417) Loss 2.9850 (2.8803) Prec@1 26.172 (31.384) Prec@5 61.719 (61.036) Epoch: [5][120/5809] Time 0.734 (0.493) Data 0.674 (0.416) Loss 2.9712 (2.8809) Prec@1 28.906 (31.337) Prec@5 59.766 (60.979) Epoch: [5][130/5809] Time 0.134 (0.491) Data 0.001 (0.414) Loss 2.7819 (2.8756) Prec@1 39.062 (31.411) Prec@5 61.719 (61.128) Epoch: [5][140/5809] Time 1.040 (0.493) Data 0.974 (0.417) Loss 2.9948 (2.8736) Prec@1 28.125 (31.427) Prec@5 60.938 (61.159) Epoch: [5][150/5809] Time 0.189 (0.489) Data 0.131 (0.412) Loss 2.9550 (2.8733) Prec@1 30.859 (31.488) Prec@5 58.984 (61.209) Epoch: [5][160/5809] Time 1.135 (0.491) Data 1.069 (0.413) Loss 2.6000 (2.8726) Prec@1 32.031 (31.539) Prec@5 69.922 (61.246) Epoch: [5][170/5809] Time 0.132 (0.487) Data 0.044 (0.409) Loss 2.9911 (2.8773) Prec@1 31.250 (31.504) Prec@5 57.812 (61.145) Epoch: [5][180/5809] Time 1.141 (0.488) Data 1.082 (0.409) Loss 2.6696 (2.8759) Prec@1 33.203 (31.559) Prec@5 64.453 (61.173) Epoch: [5][190/5809] Time 0.135 (0.485) Data 0.001 (0.405) Loss 2.7490 (2.8750) Prec@1 34.766 (31.585) Prec@5 63.281 (61.236) Epoch: [5][200/5809] Time 1.327 (0.487) Data 1.269 (0.407) Loss 2.7433 (2.8742) Prec@1 34.766 (31.621) Prec@5 64.453 (61.225) Epoch: [5][210/5809] Time 0.411 (0.485) Data 0.345 (0.405) Loss 2.9043 (2.8740) Prec@1 33.594 (31.635) Prec@5 61.719 (61.263) Epoch: [5][220/5809] Time 1.169 (0.487) Data 1.110 (0.408) Loss 3.0709 (2.8760) Prec@1 32.422 (31.600) Prec@5 55.078 (61.247) Epoch: [5][230/5809] Time 0.312 (0.484) Data 0.253 (0.404) Loss 3.0113 (2.8750) Prec@1 29.297 (31.592) Prec@5 58.594 (61.294) Epoch: [5][240/5809] Time 1.009 (0.486) Data 0.944 (0.406) Loss 2.9598 (2.8769) Prec@1 30.859 (31.543) Prec@5 58.594 (61.267) Epoch: [5][250/5809] Time 0.576 (0.485) Data 0.516 (0.405) Loss 2.8644 (2.8790) Prec@1 28.516 (31.525) Prec@5 63.281 (61.252) Epoch: [5][260/5809] Time 0.869 (0.485) Data 0.809 (0.406) Loss 2.8714 (2.8772) Prec@1 32.422 (31.567) Prec@5 65.625 (61.318) Epoch: [5][270/5809] Time 0.963 (0.484) Data 0.903 (0.406) Loss 2.8787 (2.8803) Prec@1 28.516 (31.544) Prec@5 60.938 (61.253) Epoch: [5][280/5809] Time 0.745 (0.483) Data 0.684 (0.405) Loss 2.9011 (2.8794) Prec@1 32.812 (31.563) Prec@5 62.500 (61.311) Epoch: [5][290/5809] Time 0.541 (0.483) Data 0.475 (0.404) Loss 2.8376 (2.8815) Prec@1 33.984 (31.549) Prec@5 60.156 (61.254) Epoch: [5][300/5809] Time 1.224 (0.482) Data 1.164 (0.404) Loss 2.9865 (2.8808) Prec@1 33.203 (31.568) Prec@5 57.031 (61.267) Epoch: [5][310/5809] Time 0.426 (0.481) Data 0.367 (0.403) Loss 2.9952 (2.8813) Prec@1 30.078 (31.570) Prec@5 61.328 (61.278) Epoch: [5][320/5809] Time 1.070 (0.483) Data 1.010 (0.405) Loss 2.8070 (2.8816) Prec@1 34.375 (31.554) Prec@5 62.891 (61.273) Epoch: [5][330/5809] Time 0.182 (0.481) Data 0.123 (0.404) Loss 3.1371 (2.8849) Prec@1 27.734 (31.519) Prec@5 57.812 (61.202) Epoch: [5][340/5809] Time 0.806 (0.482) Data 0.746 (0.405) Loss 2.8659 (2.8847) Prec@1 34.375 (31.563) Prec@5 63.672 (61.202) Epoch: [5][350/5809] Time 0.133 (0.481) Data 0.001 (0.404) Loss 2.7380 (2.8841) Prec@1 31.250 (31.552) Prec@5 66.016 (61.235) Epoch: [5][360/5809] Time 0.656 (0.482) Data 0.597 (0.405) Loss 3.2759 (2.8849) Prec@1 21.875 (31.542) Prec@5 55.078 (61.256) Epoch: [5][370/5809] Time 0.335 (0.480) Data 0.275 (0.405) Loss 2.9951 (2.8878) Prec@1 28.906 (31.483) Prec@5 61.328 (61.201) Epoch: [5][380/5809] Time 0.348 (0.481) Data 0.289 (0.406) Loss 2.7937 (2.8876) Prec@1 32.422 (31.484) Prec@5 62.109 (61.211) Epoch: [5][390/5809] Time 0.132 (0.481) Data 0.053 (0.406) Loss 2.8853 (2.8896) Prec@1 33.203 (31.455) Prec@5 62.109 (61.160) Epoch: [5][400/5809] Time 0.879 (0.483) Data 0.814 (0.407) Loss 2.8230 (2.8911) Prec@1 30.469 (31.451) Prec@5 60.547 (61.122) Epoch: [5][410/5809] Time 0.134 (0.481) Data 0.063 (0.405) Loss 2.9019 (2.8902) Prec@1 32.031 (31.468) Prec@5 60.938 (61.145) Epoch: [5][420/5809] Time 0.462 (0.482) Data 0.402 (0.407) Loss 2.7922 (2.8913) Prec@1 31.250 (31.453) Prec@5 62.891 (61.110) Epoch: [5][430/5809] Time 0.333 (0.481) Data 0.274 (0.406) Loss 2.7782 (2.8916) Prec@1 34.375 (31.464) Prec@5 64.062 (61.114) Epoch: [5][440/5809] Time 0.135 (0.481) Data 0.060 (0.406) Loss 2.8315 (2.8918) Prec@1 31.250 (31.449) Prec@5 62.109 (61.108) Epoch: [5][450/5809] Time 0.687 (0.481) Data 0.627 (0.406) Loss 2.7075 (2.8909) Prec@1 38.672 (31.474) Prec@5 62.500 (61.120) Epoch: [5][460/5809] Time 0.173 (0.480) Data 0.113 (0.405) Loss 2.7394 (2.8896) Prec@1 34.375 (31.472) Prec@5 64.062 (61.152) Epoch: [5][470/5809] Time 0.940 (0.480) Data 0.881 (0.406) Loss 2.9300 (2.8903) Prec@1 30.859 (31.434) Prec@5 62.891 (61.146) Epoch: [5][480/5809] Time 0.134 (0.480) Data 0.001 (0.405) Loss 2.7974 (2.8886) Prec@1 28.516 (31.461) Prec@5 66.797 (61.180) Epoch: [5][490/5809] Time 0.591 (0.480) Data 0.530 (0.405) Loss 2.9662 (2.8886) Prec@1 30.078 (31.464) Prec@5 57.812 (61.177) Epoch: [5][500/5809] Time 0.608 (0.480) Data 0.549 (0.405) Loss 2.6355 (2.8885) Prec@1 30.859 (31.473) Prec@5 65.625 (61.192) Epoch: [5][510/5809] Time 0.134 (0.478) Data 0.001 (0.404) Loss 2.7680 (2.8882) Prec@1 30.859 (31.469) Prec@5 64.844 (61.203) Epoch: [5][520/5809] Time 0.992 (0.480) Data 0.932 (0.406) Loss 2.8223 (2.8873) Prec@1 35.547 (31.492) Prec@5 60.938 (61.212) Epoch: [5][530/5809] Time 0.424 (0.480) Data 0.364 (0.406) Loss 3.0231 (2.8864) Prec@1 28.906 (31.502) Prec@5 55.859 (61.219) Epoch: [5][540/5809] Time 1.063 (0.480) Data 1.000 (0.406) Loss 2.9407 (2.8866) Prec@1 30.469 (31.493) Prec@5 60.938 (61.222) Epoch: [5][550/5809] Time 0.305 (0.479) Data 0.246 (0.405) Loss 2.7580 (2.8873) Prec@1 33.984 (31.478) Prec@5 64.062 (61.203) Epoch: [5][560/5809] Time 0.901 (0.479) Data 0.839 (0.405) Loss 2.8769 (2.8868) Prec@1 30.469 (31.469) Prec@5 64.844 (61.197) Epoch: [5][570/5809] Time 0.443 (0.478) Data 0.383 (0.405) Loss 2.9911 (2.8885) Prec@1 29.297 (31.429) Prec@5 60.938 (61.161) Epoch: [5][580/5809] Time 0.920 (0.478) Data 0.856 (0.405) Loss 2.9221 (2.8888) Prec@1 30.078 (31.428) Prec@5 57.812 (61.165) Epoch: [5][590/5809] Time 0.134 (0.478) Data 0.001 (0.404) Loss 2.8641 (2.8898) Prec@1 32.422 (31.411) Prec@5 60.938 (61.138) Epoch: [5][600/5809] Time 0.440 (0.478) Data 0.376 (0.404) Loss 2.8362 (2.8901) Prec@1 33.594 (31.404) Prec@5 64.453 (61.146) Epoch: [5][610/5809] Time 0.773 (0.478) Data 0.713 (0.404) Loss 3.0661 (2.8901) Prec@1 28.516 (31.411) Prec@5 54.688 (61.133) Epoch: [5][620/5809] Time 0.546 (0.478) Data 0.487 (0.404) Loss 2.6800 (2.8895) Prec@1 35.938 (31.442) Prec@5 69.141 (61.177) Epoch: [5][630/5809] Time 0.508 (0.477) Data 0.450 (0.404) Loss 2.7476 (2.8891) Prec@1 32.422 (31.449) Prec@5 65.625 (61.180) Epoch: [5][640/5809] Time 0.955 (0.477) Data 0.894 (0.404) Loss 3.0763 (2.8898) Prec@1 28.906 (31.453) Prec@5 56.641 (61.161) Epoch: [5][650/5809] Time 0.359 (0.476) Data 0.301 (0.403) Loss 2.8584 (2.8896) Prec@1 32.422 (31.455) Prec@5 62.891 (61.158) Epoch: [5][660/5809] Time 1.098 (0.477) Data 1.036 (0.404) Loss 2.8880 (2.8904) Prec@1 34.375 (31.455) Prec@5 62.891 (61.146) Epoch: [5][670/5809] Time 0.292 (0.476) Data 0.226 (0.403) Loss 2.8232 (2.8908) Prec@1 33.594 (31.443) Prec@5 63.281 (61.145) Epoch: [5][680/5809] Time 1.152 (0.476) Data 1.087 (0.403) Loss 2.8506 (2.8909) Prec@1 37.109 (31.457) Prec@5 61.719 (61.153) Epoch: [5][690/5809] Time 0.133 (0.475) Data 0.001 (0.402) Loss 2.8646 (2.8906) Prec@1 28.906 (31.467) Prec@5 62.891 (61.161) Epoch: [5][700/5809] Time 1.241 (0.475) Data 1.179 (0.403) Loss 2.8171 (2.8905) Prec@1 32.812 (31.473) Prec@5 61.328 (61.159) Epoch: [5][710/5809] Time 0.139 (0.474) Data 0.075 (0.401) Loss 3.0114 (2.8902) Prec@1 29.297 (31.473) Prec@5 58.984 (61.157) Epoch: [5][720/5809] Time 0.589 (0.474) Data 0.530 (0.402) Loss 2.7445 (2.8901) Prec@1 33.984 (31.474) Prec@5 64.453 (61.167) Epoch: [5][730/5809] Time 0.214 (0.473) Data 0.155 (0.401) Loss 2.8565 (2.8902) Prec@1 33.203 (31.480) Prec@5 63.281 (61.160) Epoch: [5][740/5809] Time 0.743 (0.473) Data 0.683 (0.401) Loss 2.9394 (2.8900) Prec@1 30.859 (31.485) Prec@5 62.500 (61.166) Epoch: [5][750/5809] Time 0.236 (0.473) Data 0.178 (0.400) Loss 3.0734 (2.8911) Prec@1 27.734 (31.475) Prec@5 58.203 (61.145) Epoch: [5][760/5809] Time 0.874 (0.473) Data 0.809 (0.400) Loss 2.6956 (2.8912) Prec@1 34.766 (31.460) Prec@5 66.406 (61.146) Epoch: [5][770/5809] Time 0.303 (0.472) Data 0.242 (0.400) Loss 2.6405 (2.8911) Prec@1 31.250 (31.456) Prec@5 65.234 (61.151) Epoch: [5][780/5809] Time 0.820 (0.472) Data 0.761 (0.400) Loss 2.8377 (2.8923) Prec@1 30.859 (31.432) Prec@5 64.062 (61.128) Epoch: [5][790/5809] Time 0.133 (0.472) Data 0.001 (0.399) Loss 2.9447 (2.8917) Prec@1 32.812 (31.469) Prec@5 57.422 (61.148) Epoch: [5][800/5809] Time 0.845 (0.471) Data 0.786 (0.399) Loss 2.9183 (2.8918) Prec@1 30.469 (31.475) Prec@5 58.203 (61.139) Epoch: [5][810/5809] Time 0.368 (0.471) Data 0.296 (0.398) Loss 2.9983 (2.8923) Prec@1 29.297 (31.460) Prec@5 58.594 (61.123) Epoch: [5][820/5809] Time 0.896 (0.471) Data 0.833 (0.398) Loss 2.8453 (2.8918) Prec@1 35.547 (31.478) Prec@5 60.547 (61.136) Epoch: [5][830/5809] Time 0.295 (0.470) Data 0.235 (0.398) Loss 2.9676 (2.8919) Prec@1 27.344 (31.479) Prec@5 61.328 (61.146) Epoch: [5][840/5809] Time 1.116 (0.470) Data 1.055 (0.398) Loss 2.7499 (2.8906) Prec@1 30.859 (31.498) Prec@5 64.844 (61.169) Epoch: [5][850/5809] Time 0.132 (0.470) Data 0.046 (0.397) Loss 2.7563 (2.8906) Prec@1 32.812 (31.493) Prec@5 62.500 (61.163) Epoch: [5][860/5809] Time 1.230 (0.470) Data 1.166 (0.397) Loss 2.6415 (2.8909) Prec@1 37.500 (31.505) Prec@5 64.062 (61.160) Epoch: [5][870/5809] Time 0.133 (0.469) Data 0.001 (0.396) Loss 2.9347 (2.8902) Prec@1 28.125 (31.513) Prec@5 60.547 (61.171) Epoch: [5][880/5809] Time 0.986 (0.469) Data 0.926 (0.396) Loss 2.8968 (2.8905) Prec@1 33.203 (31.512) Prec@5 65.625 (61.169) Epoch: [5][890/5809] Time 0.136 (0.468) Data 0.076 (0.395) Loss 2.9244 (2.8900) Prec@1 30.859 (31.529) Prec@5 61.328 (61.195) Epoch: [5][900/5809] Time 1.386 (0.468) Data 1.326 (0.395) Loss 2.9725 (2.8906) Prec@1 28.516 (31.517) Prec@5 59.766 (61.185) Epoch: [5][910/5809] Time 0.134 (0.467) Data 0.048 (0.394) Loss 2.9258 (2.8907) Prec@1 37.109 (31.518) Prec@5 60.938 (61.189) Epoch: [5][920/5809] Time 1.528 (0.468) Data 1.467 (0.394) Loss 2.9760 (2.8914) Prec@1 31.250 (31.507) Prec@5 62.891 (61.185) Epoch: [5][930/5809] Time 0.236 (0.467) Data 0.178 (0.393) Loss 2.7916 (2.8916) Prec@1 36.719 (31.508) Prec@5 63.672 (61.183) Epoch: [5][940/5809] Time 1.076 (0.467) Data 1.017 (0.394) Loss 2.8728 (2.8913) Prec@1 28.516 (31.510) Prec@5 59.375 (61.180) Epoch: [5][950/5809] Time 0.134 (0.466) Data 0.001 (0.393) Loss 2.9336 (2.8914) Prec@1 32.031 (31.505) Prec@5 60.547 (61.175) Epoch: [5][960/5809] Time 0.726 (0.467) Data 0.665 (0.393) Loss 2.8415 (2.8913) Prec@1 33.984 (31.512) Prec@5 62.109 (61.179) Epoch: [5][970/5809] Time 0.132 (0.466) Data 0.052 (0.392) Loss 2.9679 (2.8908) Prec@1 27.344 (31.507) Prec@5 58.594 (61.191) Epoch: [5][980/5809] Time 0.611 (0.466) Data 0.553 (0.392) Loss 2.8938 (2.8912) Prec@1 35.156 (31.495) Prec@5 60.156 (61.179) Epoch: [5][990/5809] Time 0.483 (0.466) Data 0.423 (0.392) Loss 2.9540 (2.8917) Prec@1 34.375 (31.505) Prec@5 58.594 (61.171) Epoch: [5][1000/5809] Time 0.438 (0.466) Data 0.376 (0.392) Loss 2.8728 (2.8918) Prec@1 31.641 (31.508) Prec@5 59.375 (61.167) Epoch: [5][1010/5809] Time 0.351 (0.465) Data 0.285 (0.392) Loss 3.1084 (2.8916) Prec@1 30.859 (31.516) Prec@5 59.766 (61.178) Epoch: [5][1020/5809] Time 0.197 (0.465) Data 0.138 (0.392) Loss 3.0277 (2.8921) Prec@1 28.125 (31.511) Prec@5 59.766 (61.175) Epoch: [5][1030/5809] Time 0.242 (0.465) Data 0.183 (0.392) Loss 2.7905 (2.8920) Prec@1 31.250 (31.502) Prec@5 64.453 (61.183) Epoch: [5][1040/5809] Time 0.567 (0.465) Data 0.503 (0.392) Loss 2.7892 (2.8920) Prec@1 33.203 (31.498) Prec@5 64.844 (61.181) Epoch: [5][1050/5809] Time 0.131 (0.465) Data 0.043 (0.392) Loss 2.8491 (2.8925) Prec@1 36.328 (31.498) Prec@5 60.938 (61.164) Epoch: [5][1060/5809] Time 0.252 (0.465) Data 0.193 (0.392) Loss 3.1458 (2.8924) Prec@1 26.172 (31.494) Prec@5 55.078 (61.172) Epoch: [5][1070/5809] Time 0.132 (0.464) Data 0.046 (0.391) Loss 2.8811 (2.8920) Prec@1 31.250 (31.509) Prec@5 61.719 (61.184) Epoch: [5][1080/5809] Time 0.133 (0.464) Data 0.001 (0.392) Loss 2.8352 (2.8927) Prec@1 32.422 (31.492) Prec@5 60.938 (61.167) Epoch: [5][1090/5809] Time 0.393 (0.464) Data 0.329 (0.391) Loss 2.8341 (2.8931) Prec@1 30.078 (31.478) Prec@5 61.719 (61.156) Epoch: [5][1100/5809] Time 0.133 (0.464) Data 0.050 (0.391) Loss 2.9118 (2.8931) Prec@1 29.297 (31.481) Prec@5 62.500 (61.164) Epoch: [5][1110/5809] Time 0.135 (0.464) Data 0.001 (0.391) Loss 2.7931 (2.8926) Prec@1 30.859 (31.485) Prec@5 61.328 (61.176) Epoch: [5][1120/5809] Time 0.569 (0.464) Data 0.510 (0.391) Loss 2.8625 (2.8925) Prec@1 33.594 (31.493) Prec@5 59.766 (61.175) Epoch: [5][1130/5809] Time 0.332 (0.464) Data 0.271 (0.391) Loss 2.6433 (2.8916) Prec@1 36.719 (31.513) Prec@5 66.797 (61.195) Epoch: [5][1140/5809] Time 0.677 (0.464) Data 0.611 (0.391) Loss 2.9794 (2.8913) Prec@1 31.641 (31.505) Prec@5 60.547 (61.201) Epoch: [5][1150/5809] Time 0.134 (0.463) Data 0.048 (0.390) Loss 3.0680 (2.8917) Prec@1 23.828 (31.501) Prec@5 59.375 (61.199) Epoch: [5][1160/5809] Time 1.054 (0.464) Data 0.994 (0.391) Loss 2.8809 (2.8918) Prec@1 28.906 (31.492) Prec@5 59.766 (61.194) Epoch: [5][1170/5809] Time 0.131 (0.463) Data 0.048 (0.390) Loss 2.9278 (2.8919) Prec@1 28.125 (31.480) Prec@5 63.281 (61.196) Epoch: [5][1180/5809] Time 0.657 (0.464) Data 0.597 (0.390) Loss 2.6835 (2.8915) Prec@1 34.766 (31.491) Prec@5 63.672 (61.194) Epoch: [5][1190/5809] Time 0.134 (0.463) Data 0.050 (0.390) Loss 2.6520 (2.8914) Prec@1 37.500 (31.492) Prec@5 66.016 (61.205) Epoch: [5][1200/5809] Time 0.793 (0.464) Data 0.733 (0.390) Loss 2.8756 (2.8912) Prec@1 31.250 (31.502) Prec@5 62.891 (61.209) Epoch: [5][1210/5809] Time 0.134 (0.463) Data 0.001 (0.390) Loss 2.9930 (2.8917) Prec@1 27.344 (31.487) Prec@5 58.203 (61.204) Epoch: [5][1220/5809] Time 0.732 (0.463) Data 0.668 (0.390) Loss 2.8943 (2.8912) Prec@1 32.031 (31.498) Prec@5 59.375 (61.213) Epoch: [5][1230/5809] Time 0.248 (0.463) Data 0.187 (0.390) Loss 2.8702 (2.8908) Prec@1 31.250 (31.495) Prec@5 62.109 (61.224) Epoch: [5][1240/5809] Time 0.915 (0.463) Data 0.856 (0.390) Loss 3.0439 (2.8907) Prec@1 28.516 (31.498) Prec@5 59.766 (61.226) Epoch: [5][1250/5809] Time 0.262 (0.463) Data 0.203 (0.390) Loss 3.0440 (2.8908) Prec@1 28.125 (31.500) Prec@5 57.812 (61.227) Epoch: [5][1260/5809] Time 0.687 (0.463) Data 0.626 (0.389) Loss 2.8718 (2.8916) Prec@1 30.859 (31.484) Prec@5 60.547 (61.204) Epoch: [5][1270/5809] Time 0.134 (0.462) Data 0.001 (0.389) Loss 2.9521 (2.8915) Prec@1 26.172 (31.474) Prec@5 60.547 (61.202) Epoch: [5][1280/5809] Time 1.181 (0.463) Data 1.122 (0.389) Loss 2.8259 (2.8918) Prec@1 32.812 (31.478) Prec@5 62.891 (61.202) Epoch: [5][1290/5809] Time 0.180 (0.462) Data 0.122 (0.389) Loss 2.8902 (2.8918) Prec@1 33.594 (31.471) Prec@5 61.328 (61.204) Epoch: [5][1300/5809] Time 1.201 (0.462) Data 1.142 (0.389) Loss 2.9716 (2.8918) Prec@1 30.078 (31.464) Prec@5 59.375 (61.202) Epoch: [5][1310/5809] Time 0.148 (0.462) Data 0.089 (0.388) Loss 2.7627 (2.8922) Prec@1 35.156 (31.461) Prec@5 63.281 (61.184) Epoch: [5][1320/5809] Time 1.480 (0.463) Data 1.421 (0.389) Loss 3.0311 (2.8924) Prec@1 28.125 (31.463) Prec@5 60.938 (61.185) Epoch: [5][1330/5809] Time 0.133 (0.462) Data 0.001 (0.388) Loss 2.8175 (2.8926) Prec@1 31.250 (31.467) Prec@5 64.062 (61.182) Epoch: [5][1340/5809] Time 0.915 (0.462) Data 0.856 (0.389) Loss 2.8032 (2.8926) Prec@1 32.422 (31.465) Prec@5 63.281 (61.183) Epoch: [5][1350/5809] Time 0.425 (0.462) Data 0.365 (0.388) Loss 2.7275 (2.8921) Prec@1 36.719 (31.474) Prec@5 60.938 (61.188) Epoch: [5][1360/5809] Time 1.083 (0.462) Data 1.024 (0.389) Loss 2.9794 (2.8919) Prec@1 31.641 (31.476) Prec@5 57.031 (61.192) Epoch: [5][1370/5809] Time 0.515 (0.462) Data 0.443 (0.388) Loss 2.9256 (2.8917) Prec@1 32.031 (31.491) Prec@5 59.766 (61.196) Epoch: [5][1380/5809] Time 0.708 (0.462) Data 0.649 (0.388) Loss 3.0217 (2.8917) Prec@1 27.344 (31.477) Prec@5 57.812 (61.193) Epoch: [5][1390/5809] Time 0.426 (0.462) Data 0.367 (0.388) Loss 2.7837 (2.8918) Prec@1 31.250 (31.476) Prec@5 63.281 (61.198) Epoch: [5][1400/5809] Time 0.794 (0.462) Data 0.730 (0.388) Loss 2.7878 (2.8915) Prec@1 34.766 (31.484) Prec@5 63.672 (61.204) Epoch: [5][1410/5809] Time 0.629 (0.462) Data 0.570 (0.388) Loss 2.9283 (2.8918) Prec@1 33.594 (31.483) Prec@5 60.938 (61.199) Epoch: [5][1420/5809] Time 0.649 (0.461) Data 0.589 (0.388) Loss 2.8816 (2.8919) Prec@1 38.672 (31.482) Prec@5 65.625 (61.201) Epoch: [5][1430/5809] Time 1.002 (0.462) Data 0.936 (0.388) Loss 2.8269 (2.8918) Prec@1 33.594 (31.484) Prec@5 62.109 (61.204) Epoch: [5][1440/5809] Time 0.761 (0.462) Data 0.696 (0.388) Loss 2.7578 (2.8916) Prec@1 33.984 (31.490) Prec@5 61.328 (61.209) Epoch: [5][1450/5809] Time 0.684 (0.461) Data 0.625 (0.388) Loss 2.9815 (2.8913) Prec@1 31.250 (31.496) Prec@5 58.594 (61.211) Epoch: [5][1460/5809] Time 0.403 (0.461) Data 0.336 (0.387) Loss 2.6472 (2.8907) Prec@1 31.641 (31.502) Prec@5 68.750 (61.222) Epoch: [5][1470/5809] Time 0.564 (0.461) Data 0.506 (0.387) Loss 2.9741 (2.8906) Prec@1 26.953 (31.502) Prec@5 57.422 (61.222) Epoch: [5][1480/5809] Time 0.622 (0.461) Data 0.559 (0.387) Loss 2.6857 (2.8908) Prec@1 37.500 (31.505) Prec@5 65.234 (61.224) Epoch: [5][1490/5809] Time 0.133 (0.461) Data 0.001 (0.387) Loss 2.9961 (2.8908) Prec@1 32.422 (31.510) Prec@5 58.984 (61.224) Epoch: [5][1500/5809] Time 0.313 (0.461) Data 0.250 (0.387) Loss 2.9600 (2.8909) Prec@1 31.250 (31.511) Prec@5 58.984 (61.221) Epoch: [5][1510/5809] Time 0.133 (0.461) Data 0.001 (0.387) Loss 3.1280 (2.8908) Prec@1 26.953 (31.509) Prec@5 56.250 (61.222) Epoch: [5][1520/5809] Time 0.134 (0.461) Data 0.001 (0.387) Loss 2.8164 (2.8909) Prec@1 33.594 (31.501) Prec@5 64.453 (61.215) Epoch: [5][1530/5809] Time 0.199 (0.460) Data 0.138 (0.386) Loss 2.8115 (2.8903) Prec@1 34.375 (31.515) Prec@5 67.578 (61.232) Epoch: [5][1540/5809] Time 0.165 (0.460) Data 0.101 (0.386) Loss 2.9229 (2.8903) Prec@1 24.609 (31.516) Prec@5 62.109 (61.230) Epoch: [5][1550/5809] Time 0.133 (0.460) Data 0.001 (0.386) Loss 2.7669 (2.8902) Prec@1 34.766 (31.509) Prec@5 61.719 (61.233) Epoch: [5][1560/5809] Time 0.211 (0.460) Data 0.147 (0.386) Loss 2.9355 (2.8903) Prec@1 31.641 (31.505) Prec@5 59.375 (61.235) Epoch: [5][1570/5809] Time 0.479 (0.459) Data 0.420 (0.385) Loss 2.8672 (2.8904) Prec@1 36.328 (31.502) Prec@5 62.109 (61.238) Epoch: [5][1580/5809] Time 0.134 (0.459) Data 0.001 (0.385) Loss 2.9148 (2.8906) Prec@1 26.172 (31.497) Prec@5 60.938 (61.230) Epoch: [5][1590/5809] Time 1.110 (0.460) Data 1.051 (0.386) Loss 2.9178 (2.8905) Prec@1 30.859 (31.503) Prec@5 60.547 (61.235) Epoch: [5][1600/5809] Time 0.129 (0.461) Data 0.001 (0.387) Loss 2.8951 (2.8904) Prec@1 30.078 (31.503) Prec@5 61.719 (61.243) Epoch: [5][1610/5809] Time 0.496 (0.461) Data 0.438 (0.387) Loss 2.8710 (2.8906) Prec@1 30.469 (31.491) Prec@5 58.984 (61.243) Epoch: [5][1620/5809] Time 0.191 (0.461) Data 0.127 (0.388) Loss 2.9255 (2.8901) Prec@1 26.172 (31.489) Prec@5 64.453 (61.254) Epoch: [5][1630/5809] Time 0.672 (0.461) Data 0.614 (0.388) Loss 2.7659 (2.8900) Prec@1 35.156 (31.489) Prec@5 63.672 (61.253) Epoch: [5][1640/5809] Time 0.158 (0.461) Data 0.099 (0.388) Loss 3.1988 (2.8902) Prec@1 24.609 (31.489) Prec@5 55.078 (61.247) Epoch: [5][1650/5809] Time 0.612 (0.461) Data 0.553 (0.387) Loss 2.8461 (2.8903) Prec@1 31.641 (31.485) Prec@5 63.672 (61.248) Epoch: [5][1660/5809] Time 0.133 (0.461) Data 0.001 (0.387) Loss 2.9238 (2.8906) Prec@1 32.422 (31.492) Prec@5 60.547 (61.249) Epoch: [5][1670/5809] Time 0.363 (0.461) Data 0.300 (0.387) Loss 2.9387 (2.8908) Prec@1 32.031 (31.488) Prec@5 60.547 (61.248) Epoch: [5][1680/5809] Time 0.147 (0.461) Data 0.075 (0.387) Loss 2.8425 (2.8906) Prec@1 32.031 (31.494) Prec@5 60.156 (61.254) Epoch: [5][1690/5809] Time 0.408 (0.460) Data 0.346 (0.386) Loss 2.7716 (2.8900) Prec@1 32.812 (31.509) Prec@5 66.406 (61.264) Epoch: [5][1700/5809] Time 0.385 (0.460) Data 0.324 (0.386) Loss 3.0603 (2.8903) Prec@1 29.297 (31.503) Prec@5 60.156 (61.255) Epoch: [5][1710/5809] Time 0.124 (0.460) Data 0.051 (0.386) Loss 2.6461 (2.8906) Prec@1 33.984 (31.498) Prec@5 67.578 (61.256) Epoch: [5][1720/5809] Time 0.152 (0.460) Data 0.087 (0.386) Loss 2.9879 (2.8907) Prec@1 28.516 (31.494) Prec@5 61.328 (61.252) Epoch: [5][1730/5809] Time 0.284 (0.460) Data 0.225 (0.386) Loss 2.8833 (2.8906) Prec@1 29.297 (31.491) Prec@5 64.844 (61.266) Epoch: [5][1740/5809] Time 0.133 (0.460) Data 0.067 (0.386) Loss 3.0638 (2.8908) Prec@1 28.516 (31.484) Prec@5 54.688 (61.259) Epoch: [5][1750/5809] Time 0.149 (0.459) Data 0.090 (0.385) Loss 2.7427 (2.8909) Prec@1 32.812 (31.484) Prec@5 65.625 (61.256) Epoch: [5][1760/5809] Time 0.261 (0.459) Data 0.203 (0.385) Loss 2.9999 (2.8907) Prec@1 30.469 (31.481) Prec@5 58.594 (61.259) Epoch: [5][1770/5809] Time 0.339 (0.459) Data 0.277 (0.385) Loss 3.0157 (2.8907) Prec@1 32.031 (31.478) Prec@5 61.328 (61.264) Epoch: [5][1780/5809] Time 0.132 (0.459) Data 0.050 (0.385) Loss 2.9684 (2.8909) Prec@1 28.906 (31.488) Prec@5 58.594 (61.256) Epoch: [5][1790/5809] Time 0.545 (0.459) Data 0.486 (0.385) Loss 3.0224 (2.8909) Prec@1 26.562 (31.481) Prec@5 58.594 (61.255) Epoch: [5][1800/5809] Time 0.136 (0.459) Data 0.001 (0.385) Loss 2.8466 (2.8908) Prec@1 31.641 (31.484) Prec@5 62.109 (61.259) Epoch: [5][1810/5809] Time 0.648 (0.459) Data 0.589 (0.385) Loss 2.9028 (2.8905) Prec@1 32.422 (31.487) Prec@5 61.719 (61.261) Epoch: [5][1820/5809] Time 0.303 (0.459) Data 0.243 (0.385) Loss 2.6073 (2.8904) Prec@1 39.453 (31.496) Prec@5 68.359 (61.267) Epoch: [5][1830/5809] Time 0.589 (0.458) Data 0.529 (0.385) Loss 2.6142 (2.8903) Prec@1 37.500 (31.494) Prec@5 63.672 (61.265) Epoch: [5][1840/5809] Time 0.558 (0.459) Data 0.500 (0.385) Loss 2.7511 (2.8900) Prec@1 33.203 (31.499) Prec@5 62.891 (61.272) Epoch: [5][1850/5809] Time 0.496 (0.458) Data 0.431 (0.384) Loss 2.9617 (2.8897) Prec@1 29.297 (31.509) Prec@5 58.203 (61.281) Epoch: [5][1860/5809] Time 0.217 (0.458) Data 0.148 (0.384) Loss 2.7034 (2.8894) Prec@1 34.766 (31.518) Prec@5 66.016 (61.289) Epoch: [5][1870/5809] Time 0.283 (0.458) Data 0.223 (0.384) Loss 2.8395 (2.8890) Prec@1 31.250 (31.528) Prec@5 63.672 (61.295) Epoch: [5][1880/5809] Time 0.133 (0.458) Data 0.001 (0.384) Loss 2.9749 (2.8892) Prec@1 30.859 (31.526) Prec@5 58.203 (61.284) Epoch: [5][1890/5809] Time 0.528 (0.458) Data 0.467 (0.384) Loss 2.9375 (2.8894) Prec@1 33.203 (31.531) Prec@5 60.156 (61.280) Epoch: [5][1900/5809] Time 0.237 (0.457) Data 0.178 (0.384) Loss 3.0402 (2.8894) Prec@1 33.203 (31.532) Prec@5 59.766 (61.279) Epoch: [5][1910/5809] Time 0.745 (0.457) Data 0.684 (0.384) Loss 2.9329 (2.8896) Prec@1 31.641 (31.532) Prec@5 60.938 (61.273) Epoch: [5][1920/5809] Time 0.526 (0.457) Data 0.460 (0.384) Loss 2.8354 (2.8893) Prec@1 30.078 (31.534) Prec@5 65.625 (61.279) Epoch: [5][1930/5809] Time 0.429 (0.457) Data 0.369 (0.384) Loss 3.0009 (2.8894) Prec@1 29.688 (31.532) Prec@5 57.812 (61.271) Epoch: [5][1940/5809] Time 0.133 (0.457) Data 0.001 (0.383) Loss 2.8805 (2.8892) Prec@1 27.734 (31.535) Prec@5 58.984 (61.272) Epoch: [5][1950/5809] Time 0.753 (0.457) Data 0.694 (0.383) Loss 2.8052 (2.8890) Prec@1 34.375 (31.545) Prec@5 59.766 (61.270) Epoch: [5][1960/5809] Time 0.135 (0.457) Data 0.002 (0.383) Loss 2.8792 (2.8888) Prec@1 32.031 (31.546) Prec@5 59.766 (61.273) Epoch: [5][1970/5809] Time 1.073 (0.457) Data 1.015 (0.383) Loss 2.8989 (2.8890) Prec@1 30.078 (31.542) Prec@5 60.156 (61.268) Epoch: [5][1980/5809] Time 0.243 (0.456) Data 0.183 (0.383) Loss 2.7885 (2.8890) Prec@1 35.156 (31.541) Prec@5 61.719 (61.268) Epoch: [5][1990/5809] Time 1.073 (0.457) Data 1.009 (0.383) Loss 2.7821 (2.8888) Prec@1 33.203 (31.540) Prec@5 63.281 (61.273) Epoch: [5][2000/5809] Time 0.246 (0.456) Data 0.186 (0.383) Loss 2.7463 (2.8887) Prec@1 34.375 (31.539) Prec@5 60.156 (61.276) Epoch: [5][2010/5809] Time 0.568 (0.456) Data 0.504 (0.383) Loss 2.8056 (2.8886) Prec@1 32.031 (31.543) Prec@5 65.625 (61.281) Epoch: [5][2020/5809] Time 0.133 (0.456) Data 0.001 (0.382) Loss 2.8240 (2.8887) Prec@1 35.938 (31.543) Prec@5 63.281 (61.277) Epoch: [5][2030/5809] Time 0.401 (0.456) Data 0.343 (0.383) Loss 2.7447 (2.8887) Prec@1 32.812 (31.543) Prec@5 65.234 (61.280) Epoch: [5][2040/5809] Time 0.134 (0.456) Data 0.062 (0.382) Loss 2.8458 (2.8884) Prec@1 25.391 (31.543) Prec@5 62.109 (61.279) Epoch: [5][2050/5809] Time 0.374 (0.456) Data 0.315 (0.382) Loss 2.9083 (2.8887) Prec@1 35.156 (31.541) Prec@5 60.156 (61.270) Epoch: [5][2060/5809] Time 0.133 (0.456) Data 0.001 (0.382) Loss 2.7578 (2.8888) Prec@1 32.812 (31.538) Prec@5 64.453 (61.269) Epoch: [5][2070/5809] Time 0.325 (0.456) Data 0.266 (0.382) Loss 3.0452 (2.8891) Prec@1 26.562 (31.529) Prec@5 55.078 (61.263) Epoch: [5][2080/5809] Time 0.131 (0.456) Data 0.045 (0.382) Loss 2.9929 (2.8890) Prec@1 31.250 (31.531) Prec@5 58.203 (61.264) Epoch: [5][2090/5809] Time 0.533 (0.456) Data 0.474 (0.382) Loss 2.9321 (2.8889) Prec@1 30.469 (31.535) Prec@5 60.547 (61.268) Epoch: [5][2100/5809] Time 0.156 (0.456) Data 0.097 (0.382) Loss 2.8872 (2.8892) Prec@1 30.078 (31.536) Prec@5 60.547 (61.263) Epoch: [5][2110/5809] Time 0.404 (0.456) Data 0.345 (0.382) Loss 2.7021 (2.8889) Prec@1 35.547 (31.541) Prec@5 65.234 (61.265) Epoch: [5][2120/5809] Time 0.278 (0.456) Data 0.219 (0.382) Loss 2.7982 (2.8891) Prec@1 34.375 (31.541) Prec@5 64.062 (61.266) Epoch: [5][2130/5809] Time 0.211 (0.456) Data 0.152 (0.382) Loss 2.7284 (2.8891) Prec@1 38.281 (31.542) Prec@5 65.234 (61.263) Epoch: [5][2140/5809] Time 0.134 (0.456) Data 0.001 (0.382) Loss 2.8965 (2.8891) Prec@1 32.031 (31.543) Prec@5 58.984 (61.260) Epoch: [5][2150/5809] Time 0.353 (0.456) Data 0.295 (0.382) Loss 2.7949 (2.8888) Prec@1 34.766 (31.552) Prec@5 63.672 (61.267) Epoch: [5][2160/5809] Time 0.565 (0.456) Data 0.505 (0.382) Loss 2.6877 (2.8886) Prec@1 33.984 (31.556) Prec@5 64.062 (61.270) Epoch: [5][2170/5809] Time 0.367 (0.456) Data 0.297 (0.382) Loss 2.8828 (2.8886) Prec@1 32.422 (31.555) Prec@5 61.328 (61.266) Epoch: [5][2180/5809] Time 0.851 (0.456) Data 0.791 (0.382) Loss 2.8789 (2.8884) Prec@1 34.766 (31.556) Prec@5 60.938 (61.268) Epoch: [5][2190/5809] Time 0.413 (0.455) Data 0.351 (0.382) Loss 2.9599 (2.8884) Prec@1 31.250 (31.559) Prec@5 59.375 (61.275) Epoch: [5][2200/5809] Time 0.603 (0.455) Data 0.544 (0.382) Loss 2.9815 (2.8886) Prec@1 29.688 (31.555) Prec@5 58.203 (61.274) Epoch: [5][2210/5809] Time 0.382 (0.455) Data 0.323 (0.382) Loss 2.9148 (2.8886) Prec@1 33.203 (31.557) Prec@5 58.594 (61.267) Epoch: [5][2220/5809] Time 0.202 (0.455) Data 0.143 (0.381) Loss 2.9512 (2.8885) Prec@1 33.594 (31.563) Prec@5 61.328 (61.268) Epoch: [5][2230/5809] Time 0.339 (0.455) Data 0.272 (0.382) Loss 2.6785 (2.8886) Prec@1 33.984 (31.564) Prec@5 63.281 (61.263) Epoch: [5][2240/5809] Time 0.134 (0.455) Data 0.060 (0.381) Loss 2.9967 (2.8887) Prec@1 27.344 (31.557) Prec@5 60.938 (61.257) Epoch: [5][2250/5809] Time 0.132 (0.455) Data 0.048 (0.381) Loss 2.6530 (2.8882) Prec@1 36.328 (31.563) Prec@5 66.797 (61.269) Epoch: [5][2260/5809] Time 0.486 (0.455) Data 0.428 (0.381) Loss 2.8687 (2.8880) Prec@1 30.469 (31.563) Prec@5 63.281 (61.272) Epoch: [5][2270/5809] Time 0.161 (0.455) Data 0.102 (0.381) Loss 2.7843 (2.8880) Prec@1 34.766 (31.562) Prec@5 67.188 (61.275) Epoch: [5][2280/5809] Time 1.120 (0.455) Data 1.061 (0.381) Loss 2.9207 (2.8882) Prec@1 30.078 (31.563) Prec@5 58.984 (61.268) Epoch: [5][2290/5809] Time 0.252 (0.455) Data 0.193 (0.381) Loss 2.7310 (2.8883) Prec@1 35.938 (31.564) Prec@5 64.062 (61.270) Epoch: [5][2300/5809] Time 0.927 (0.455) Data 0.862 (0.381) Loss 2.9138 (2.8883) Prec@1 30.859 (31.562) Prec@5 60.156 (61.268) Epoch: [5][2310/5809] Time 0.138 (0.454) Data 0.001 (0.381) Loss 2.8156 (2.8880) Prec@1 32.422 (31.566) Prec@5 61.719 (61.278) Epoch: [5][2320/5809] Time 0.673 (0.454) Data 0.609 (0.381) Loss 2.9967 (2.8879) Prec@1 29.297 (31.564) Prec@5 57.422 (61.279) Epoch: [5][2330/5809] Time 0.134 (0.454) Data 0.047 (0.381) Loss 2.7171 (2.8878) Prec@1 33.203 (31.567) Prec@5 63.672 (61.282) Epoch: [5][2340/5809] Time 0.939 (0.454) Data 0.880 (0.381) Loss 2.7455 (2.8876) Prec@1 35.156 (31.569) Prec@5 61.719 (61.285) Epoch: [5][2350/5809] Time 0.699 (0.454) Data 0.640 (0.381) Loss 3.1392 (2.8876) Prec@1 27.344 (31.566) Prec@5 56.641 (61.289) Epoch: [5][2360/5809] Time 0.761 (0.454) Data 0.702 (0.381) Loss 2.9960 (2.8875) Prec@1 27.734 (31.566) Prec@5 61.719 (61.289) Epoch: [5][2370/5809] Time 0.726 (0.454) Data 0.667 (0.380) Loss 2.9156 (2.8874) Prec@1 34.375 (31.570) Prec@5 59.375 (61.293) Epoch: [5][2380/5809] Time 0.720 (0.454) Data 0.652 (0.381) Loss 2.8277 (2.8873) Prec@1 34.766 (31.571) Prec@5 59.766 (61.294) Epoch: [5][2390/5809] Time 0.610 (0.454) Data 0.551 (0.380) Loss 3.0731 (2.8876) Prec@1 25.781 (31.564) Prec@5 58.984 (61.292) Epoch: [5][2400/5809] Time 0.619 (0.454) Data 0.560 (0.380) Loss 2.9750 (2.8876) Prec@1 25.781 (31.558) Prec@5 60.156 (61.288) Epoch: [5][2410/5809] Time 0.633 (0.454) Data 0.563 (0.380) Loss 2.7575 (2.8874) Prec@1 32.812 (31.563) Prec@5 64.453 (61.289) Epoch: [5][2420/5809] Time 0.648 (0.454) Data 0.585 (0.380) Loss 2.9276 (2.8878) Prec@1 30.469 (31.557) Prec@5 61.328 (61.282) Epoch: [5][2430/5809] Time 0.834 (0.454) Data 0.766 (0.380) Loss 2.7027 (2.8874) Prec@1 36.328 (31.565) Prec@5 64.062 (61.288) Epoch: [5][2440/5809] Time 0.167 (0.453) Data 0.108 (0.380) Loss 2.9642 (2.8876) Prec@1 30.859 (31.567) Prec@5 60.547 (61.282) Epoch: [5][2450/5809] Time 0.958 (0.453) Data 0.899 (0.380) Loss 2.9269 (2.8876) Prec@1 30.469 (31.571) Prec@5 57.422 (61.283) Epoch: [5][2460/5809] Time 0.140 (0.453) Data 0.001 (0.380) Loss 2.9277 (2.8875) Prec@1 31.641 (31.574) Prec@5 58.203 (61.287) Epoch: [5][2470/5809] Time 1.110 (0.453) Data 1.051 (0.380) Loss 2.8029 (2.8873) Prec@1 35.156 (31.580) Prec@5 61.719 (61.296) Epoch: [5][2480/5809] Time 0.138 (0.453) Data 0.050 (0.380) Loss 2.9305 (2.8872) Prec@1 29.688 (31.583) Prec@5 58.203 (61.295) Epoch: [5][2490/5809] Time 1.624 (0.453) Data 1.553 (0.380) Loss 2.9844 (2.8873) Prec@1 28.516 (31.582) Prec@5 57.812 (61.293) Epoch: [5][2500/5809] Time 0.129 (0.453) Data 0.046 (0.379) Loss 2.9274 (2.8872) Prec@1 30.859 (31.585) Prec@5 66.016 (61.298) Epoch: [5][2510/5809] Time 0.855 (0.453) Data 0.789 (0.379) Loss 2.9961 (2.8874) Prec@1 25.781 (31.579) Prec@5 60.938 (61.298) Epoch: [5][2520/5809] Time 0.136 (0.453) Data 0.001 (0.379) Loss 2.7494 (2.8873) Prec@1 32.031 (31.580) Prec@5 66.797 (61.301) Epoch: [5][2530/5809] Time 0.921 (0.453) Data 0.863 (0.379) Loss 2.8839 (2.8872) Prec@1 33.203 (31.583) Prec@5 62.109 (61.308) Epoch: [5][2540/5809] Time 0.154 (0.453) Data 0.090 (0.379) Loss 2.8718 (2.8870) Prec@1 32.031 (31.588) Prec@5 66.406 (61.314) Epoch: [5][2550/5809] Time 0.573 (0.453) Data 0.513 (0.379) Loss 2.7977 (2.8869) Prec@1 33.984 (31.596) Prec@5 60.938 (61.310) Epoch: [5][2560/5809] Time 0.304 (0.453) Data 0.245 (0.379) Loss 2.6812 (2.8868) Prec@1 35.547 (31.596) Prec@5 62.891 (61.310) Epoch: [5][2570/5809] Time 0.723 (0.453) Data 0.664 (0.379) Loss 3.0824 (2.8870) Prec@1 23.047 (31.587) Prec@5 56.250 (61.307) Epoch: [5][2580/5809] Time 0.133 (0.453) Data 0.001 (0.379) Loss 2.8766 (2.8867) Prec@1 30.469 (31.592) Prec@5 64.062 (61.312) Epoch: [5][2590/5809] Time 0.728 (0.453) Data 0.668 (0.379) Loss 2.8947 (2.8864) Prec@1 33.203 (31.597) Prec@5 56.641 (61.322) Epoch: [5][2600/5809] Time 0.223 (0.453) Data 0.162 (0.379) Loss 2.8354 (2.8862) Prec@1 28.516 (31.597) Prec@5 64.062 (61.328) Epoch: [5][2610/5809] Time 0.489 (0.453) Data 0.430 (0.379) Loss 2.6861 (2.8858) Prec@1 33.594 (31.602) Prec@5 65.234 (61.333) Epoch: [5][2620/5809] Time 0.132 (0.453) Data 0.051 (0.379) Loss 2.9404 (2.8858) Prec@1 28.125 (31.601) Prec@5 62.891 (61.336) Epoch: [5][2630/5809] Time 0.264 (0.453) Data 0.203 (0.379) Loss 2.7853 (2.8857) Prec@1 35.938 (31.605) Prec@5 62.500 (61.337) Epoch: [5][2640/5809] Time 0.133 (0.453) Data 0.060 (0.379) Loss 2.8507 (2.8857) Prec@1 34.766 (31.603) Prec@5 64.062 (61.335) Epoch: [5][2650/5809] Time 0.133 (0.453) Data 0.001 (0.379) Loss 3.0304 (2.8857) Prec@1 30.078 (31.605) Prec@5 59.375 (61.333) Epoch: [5][2660/5809] Time 0.134 (0.452) Data 0.044 (0.379) Loss 2.7548 (2.8857) Prec@1 34.375 (31.606) Prec@5 63.281 (61.333) Epoch: [5][2670/5809] Time 0.369 (0.452) Data 0.309 (0.379) Loss 3.0117 (2.8857) Prec@1 26.172 (31.604) Prec@5 59.766 (61.330) Epoch: [5][2680/5809] Time 0.133 (0.452) Data 0.001 (0.379) Loss 2.9706 (2.8858) Prec@1 31.641 (31.604) Prec@5 57.812 (61.322) Epoch: [5][2690/5809] Time 0.671 (0.453) Data 0.612 (0.379) Loss 2.5425 (2.8857) Prec@1 40.625 (31.604) Prec@5 67.969 (61.320) Epoch: [5][2700/5809] Time 0.135 (0.452) Data 0.001 (0.379) Loss 2.8745 (2.8858) Prec@1 33.984 (31.602) Prec@5 60.156 (61.319) Epoch: [5][2710/5809] Time 0.758 (0.452) Data 0.699 (0.379) Loss 2.7199 (2.8858) Prec@1 33.984 (31.600) Prec@5 63.672 (61.317) Epoch: [5][2720/5809] Time 0.131 (0.452) Data 0.046 (0.379) Loss 2.8786 (2.8857) Prec@1 29.297 (31.598) Prec@5 62.500 (61.321) Epoch: [5][2730/5809] Time 0.565 (0.452) Data 0.504 (0.379) Loss 2.7891 (2.8857) Prec@1 31.250 (31.599) Prec@5 60.938 (61.323) Epoch: [5][2740/5809] Time 0.133 (0.452) Data 0.001 (0.379) Loss 2.9289 (2.8854) Prec@1 30.469 (31.606) Prec@5 62.500 (61.327) Epoch: [5][2750/5809] Time 0.894 (0.452) Data 0.833 (0.379) Loss 2.8410 (2.8854) Prec@1 29.688 (31.604) Prec@5 60.938 (61.324) Epoch: [5][2760/5809] Time 0.241 (0.452) Data 0.182 (0.379) Loss 2.8524 (2.8852) Prec@1 32.031 (31.610) Prec@5 58.594 (61.330) Epoch: [5][2770/5809] Time 0.565 (0.452) Data 0.506 (0.379) Loss 2.7444 (2.8854) Prec@1 31.250 (31.603) Prec@5 62.109 (61.323) Epoch: [5][2780/5809] Time 0.130 (0.452) Data 0.050 (0.379) Loss 2.7738 (2.8855) Prec@1 35.547 (31.601) Prec@5 64.453 (61.319) Epoch: [5][2790/5809] Time 0.632 (0.452) Data 0.572 (0.379) Loss 2.9874 (2.8857) Prec@1 29.688 (31.595) Prec@5 57.812 (61.318) Epoch: [5][2800/5809] Time 0.192 (0.452) Data 0.132 (0.379) Loss 3.0413 (2.8858) Prec@1 28.906 (31.591) Prec@5 56.641 (61.315) Epoch: [5][2810/5809] Time 0.527 (0.452) Data 0.469 (0.379) Loss 2.9700 (2.8856) Prec@1 32.812 (31.595) Prec@5 57.031 (61.320) Epoch: [5][2820/5809] Time 0.134 (0.452) Data 0.001 (0.379) Loss 2.7029 (2.8855) Prec@1 35.547 (31.596) Prec@5 64.453 (61.322) Epoch: [5][2830/5809] Time 0.570 (0.452) Data 0.507 (0.379) Loss 2.7901 (2.8855) Prec@1 31.641 (31.594) Prec@5 62.500 (61.322) Epoch: [5][2840/5809] Time 0.431 (0.452) Data 0.371 (0.379) Loss 2.7771 (2.8856) Prec@1 37.109 (31.594) Prec@5 62.500 (61.319) Epoch: [5][2850/5809] Time 0.749 (0.452) Data 0.689 (0.379) Loss 2.9073 (2.8856) Prec@1 32.031 (31.597) Prec@5 58.594 (61.317) Epoch: [5][2860/5809] Time 0.438 (0.452) Data 0.379 (0.379) Loss 2.8988 (2.8855) Prec@1 30.469 (31.597) Prec@5 63.281 (61.321) Epoch: [5][2870/5809] Time 0.790 (0.452) Data 0.731 (0.379) Loss 2.8391 (2.8854) Prec@1 32.031 (31.600) Prec@5 62.891 (61.323) Epoch: [5][2880/5809] Time 0.477 (0.452) Data 0.411 (0.379) Loss 2.8745 (2.8855) Prec@1 31.641 (31.600) Prec@5 62.109 (61.318) Epoch: [5][2890/5809] Time 1.036 (0.452) Data 0.972 (0.379) Loss 2.7410 (2.8856) Prec@1 32.422 (31.596) Prec@5 63.672 (61.312) Epoch: [5][2900/5809] Time 0.132 (0.452) Data 0.001 (0.379) Loss 2.9434 (2.8853) Prec@1 28.125 (31.604) Prec@5 61.719 (61.320) Epoch: [5][2910/5809] Time 0.788 (0.452) Data 0.730 (0.379) Loss 2.5552 (2.8850) Prec@1 38.281 (31.611) Prec@5 66.406 (61.326) Epoch: [5][2920/5809] Time 0.238 (0.452) Data 0.178 (0.379) Loss 2.8516 (2.8849) Prec@1 31.641 (31.616) Prec@5 60.547 (61.330) Epoch: [5][2930/5809] Time 0.610 (0.452) Data 0.551 (0.379) Loss 2.8880 (2.8852) Prec@1 31.641 (31.610) Prec@5 59.766 (61.324) Epoch: [5][2940/5809] Time 0.133 (0.452) Data 0.001 (0.379) Loss 2.8064 (2.8852) Prec@1 32.812 (31.613) Prec@5 64.062 (61.321) Epoch: [5][2950/5809] Time 0.623 (0.452) Data 0.564 (0.379) Loss 2.8691 (2.8850) Prec@1 31.641 (31.611) Prec@5 62.109 (61.323) Epoch: [5][2960/5809] Time 0.135 (0.452) Data 0.001 (0.379) Loss 3.0201 (2.8850) Prec@1 30.469 (31.607) Prec@5 56.641 (61.318) Epoch: [5][2970/5809] Time 0.525 (0.452) Data 0.466 (0.379) Loss 3.1709 (2.8852) Prec@1 27.734 (31.605) Prec@5 55.078 (61.317) Epoch: [5][2980/5809] Time 0.133 (0.452) Data 0.046 (0.379) Loss 2.9704 (2.8852) Prec@1 29.688 (31.604) Prec@5 58.984 (61.317) Epoch: [5][2990/5809] Time 0.674 (0.452) Data 0.614 (0.379) Loss 3.0051 (2.8854) Prec@1 26.953 (31.598) Prec@5 58.203 (61.314) Epoch: [5][3000/5809] Time 0.195 (0.452) Data 0.135 (0.379) Loss 2.9013 (2.8854) Prec@1 32.812 (31.595) Prec@5 64.453 (61.318) Epoch: [5][3010/5809] Time 0.757 (0.452) Data 0.697 (0.379) Loss 2.9917 (2.8852) Prec@1 31.250 (31.599) Prec@5 57.422 (61.321) Epoch: [5][3020/5809] Time 0.216 (0.452) Data 0.149 (0.379) Loss 2.9130 (2.8852) Prec@1 28.125 (31.599) Prec@5 61.719 (61.319) Epoch: [5][3030/5809] Time 0.865 (0.452) Data 0.800 (0.379) Loss 2.8977 (2.8852) Prec@1 33.203 (31.596) Prec@5 64.844 (61.320) Epoch: [5][3040/5809] Time 0.128 (0.452) Data 0.051 (0.379) Loss 2.8592 (2.8851) Prec@1 34.766 (31.595) Prec@5 66.016 (61.322) Epoch: [5][3050/5809] Time 1.297 (0.452) Data 1.225 (0.379) Loss 2.7807 (2.8850) Prec@1 36.719 (31.597) Prec@5 63.672 (61.324) Epoch: [5][3060/5809] Time 0.156 (0.452) Data 0.096 (0.378) Loss 2.8963 (2.8851) Prec@1 35.547 (31.596) Prec@5 57.812 (61.317) Epoch: [5][3070/5809] Time 1.164 (0.452) Data 1.106 (0.379) Loss 2.8105 (2.8852) Prec@1 32.422 (31.599) Prec@5 65.625 (61.316) Epoch: [5][3080/5809] Time 0.133 (0.452) Data 0.001 (0.378) Loss 2.9244 (2.8851) Prec@1 34.766 (31.603) Prec@5 58.984 (61.320) Epoch: [5][3090/5809] Time 1.166 (0.452) Data 1.107 (0.378) Loss 3.2289 (2.8852) Prec@1 26.562 (31.602) Prec@5 53.906 (61.319) Epoch: [5][3100/5809] Time 0.132 (0.452) Data 0.001 (0.378) Loss 2.7203 (2.8850) Prec@1 33.594 (31.604) Prec@5 64.062 (61.321) Epoch: [5][3110/5809] Time 1.015 (0.452) Data 0.956 (0.378) Loss 2.8713 (2.8848) Prec@1 33.984 (31.608) Prec@5 58.203 (61.327) Epoch: [5][3120/5809] Time 0.132 (0.452) Data 0.001 (0.378) Loss 2.9469 (2.8848) Prec@1 27.734 (31.605) Prec@5 60.547 (61.327) Epoch: [5][3130/5809] Time 1.358 (0.452) Data 1.294 (0.378) Loss 2.8969 (2.8847) Prec@1 34.375 (31.605) Prec@5 62.109 (61.331) Epoch: [5][3140/5809] Time 0.280 (0.452) Data 0.215 (0.378) Loss 2.9951 (2.8847) Prec@1 28.125 (31.603) Prec@5 56.250 (61.329) Epoch: [5][3150/5809] Time 1.326 (0.452) Data 1.266 (0.378) Loss 3.1307 (2.8849) Prec@1 27.344 (31.598) Prec@5 57.812 (61.324) Epoch: [5][3160/5809] Time 0.127 (0.452) Data 0.048 (0.378) Loss 2.8701 (2.8851) Prec@1 33.594 (31.597) Prec@5 59.375 (61.319) Epoch: [5][3170/5809] Time 1.278 (0.452) Data 1.219 (0.378) Loss 2.9347 (2.8852) Prec@1 28.516 (31.596) Prec@5 62.500 (61.317) Epoch: [5][3180/5809] Time 0.400 (0.452) Data 0.341 (0.378) Loss 2.7524 (2.8851) Prec@1 37.109 (31.600) Prec@5 64.453 (61.321) Epoch: [5][3190/5809] Time 1.128 (0.452) Data 1.067 (0.378) Loss 3.0549 (2.8852) Prec@1 29.297 (31.599) Prec@5 59.375 (61.321) Epoch: [5][3200/5809] Time 0.166 (0.452) Data 0.105 (0.378) Loss 2.7748 (2.8852) Prec@1 33.203 (31.597) Prec@5 65.234 (61.319) Epoch: [5][3210/5809] Time 1.296 (0.452) Data 1.226 (0.378) Loss 2.7087 (2.8851) Prec@1 35.547 (31.598) Prec@5 65.234 (61.324) Epoch: [5][3220/5809] Time 0.133 (0.452) Data 0.049 (0.378) Loss 2.8627 (2.8852) Prec@1 34.766 (31.598) Prec@5 60.547 (61.321) Epoch: [5][3230/5809] Time 1.348 (0.452) Data 1.288 (0.378) Loss 2.8394 (2.8852) Prec@1 31.641 (31.598) Prec@5 61.328 (61.320) Epoch: [5][3240/5809] Time 0.140 (0.452) Data 0.053 (0.378) Loss 2.9953 (2.8852) Prec@1 27.344 (31.600) Prec@5 57.422 (61.321) Epoch: [5][3250/5809] Time 0.940 (0.452) Data 0.881 (0.378) Loss 2.9261 (2.8852) Prec@1 32.031 (31.604) Prec@5 59.766 (61.322) Epoch: [5][3260/5809] Time 0.351 (0.452) Data 0.292 (0.378) Loss 2.8420 (2.8850) Prec@1 30.469 (31.606) Prec@5 62.891 (61.325) Epoch: [5][3270/5809] Time 0.735 (0.452) Data 0.671 (0.378) Loss 2.9004 (2.8850) Prec@1 30.859 (31.605) Prec@5 62.500 (61.324) Epoch: [5][3280/5809] Time 0.155 (0.451) Data 0.096 (0.378) Loss 3.0503 (2.8849) Prec@1 33.203 (31.607) Prec@5 60.547 (61.326) Epoch: [5][3290/5809] Time 0.738 (0.451) Data 0.679 (0.378) Loss 2.8565 (2.8849) Prec@1 33.594 (31.608) Prec@5 65.234 (61.326) Epoch: [5][3300/5809] Time 0.127 (0.451) Data 0.047 (0.378) Loss 2.7450 (2.8850) Prec@1 37.500 (31.611) Prec@5 63.281 (61.320) Epoch: [5][3310/5809] Time 1.185 (0.451) Data 1.127 (0.378) Loss 2.7429 (2.8850) Prec@1 30.859 (31.610) Prec@5 64.844 (61.323) Epoch: [5][3320/5809] Time 0.133 (0.451) Data 0.001 (0.377) Loss 2.6504 (2.8850) Prec@1 35.938 (31.611) Prec@5 68.359 (61.324) Epoch: [5][3330/5809] Time 1.125 (0.451) Data 1.067 (0.378) Loss 3.0362 (2.8851) Prec@1 29.688 (31.610) Prec@5 57.031 (61.322) Epoch: [5][3340/5809] Time 0.141 (0.451) Data 0.001 (0.377) Loss 3.0223 (2.8851) Prec@1 27.734 (31.608) Prec@5 56.641 (61.322) Epoch: [5][3350/5809] Time 1.061 (0.451) Data 1.002 (0.377) Loss 2.9905 (2.8852) Prec@1 33.594 (31.606) Prec@5 60.156 (61.319) Epoch: [5][3360/5809] Time 0.134 (0.451) Data 0.044 (0.377) Loss 2.8059 (2.8850) Prec@1 36.719 (31.613) Prec@5 62.891 (61.323) Epoch: [5][3370/5809] Time 1.233 (0.451) Data 1.174 (0.377) Loss 2.8534 (2.8850) Prec@1 31.250 (31.615) Prec@5 60.156 (61.318) Epoch: [5][3380/5809] Time 0.133 (0.451) Data 0.042 (0.377) Loss 2.6939 (2.8851) Prec@1 34.766 (31.612) Prec@5 62.109 (61.316) Epoch: [5][3390/5809] Time 1.194 (0.451) Data 1.130 (0.377) Loss 2.6805 (2.8850) Prec@1 35.547 (31.611) Prec@5 66.016 (61.316) Epoch: [5][3400/5809] Time 0.134 (0.451) Data 0.001 (0.377) Loss 2.7680 (2.8850) Prec@1 33.984 (31.610) Prec@5 66.016 (61.316) Epoch: [5][3410/5809] Time 0.774 (0.451) Data 0.707 (0.377) Loss 2.9612 (2.8851) Prec@1 26.953 (31.610) Prec@5 57.812 (61.315) Epoch: [5][3420/5809] Time 0.125 (0.451) Data 0.047 (0.377) Loss 2.9293 (2.8849) Prec@1 30.859 (31.612) Prec@5 60.938 (61.319) Epoch: [5][3430/5809] Time 0.696 (0.451) Data 0.632 (0.377) Loss 2.7869 (2.8850) Prec@1 30.078 (31.607) Prec@5 60.547 (61.318) Epoch: [5][3440/5809] Time 0.132 (0.451) Data 0.001 (0.377) Loss 2.9713 (2.8848) Prec@1 30.469 (31.609) Prec@5 59.766 (61.322) Epoch: [5][3450/5809] Time 0.660 (0.451) Data 0.594 (0.377) Loss 2.7195 (2.8847) Prec@1 31.250 (31.611) Prec@5 64.453 (61.325) Epoch: [5][3460/5809] Time 0.133 (0.451) Data 0.001 (0.376) Loss 2.9373 (2.8847) Prec@1 26.562 (31.610) Prec@5 60.938 (61.327) Epoch: [5][3470/5809] Time 0.404 (0.451) Data 0.345 (0.377) Loss 2.9390 (2.8846) Prec@1 30.859 (31.613) Prec@5 62.500 (61.330) Epoch: [5][3480/5809] Time 0.186 (0.451) Data 0.126 (0.377) Loss 2.5756 (2.8843) Prec@1 36.719 (31.617) Prec@5 69.922 (61.339) Epoch: [5][3490/5809] Time 0.772 (0.451) Data 0.700 (0.377) Loss 2.9692 (2.8843) Prec@1 32.031 (31.617) Prec@5 62.109 (61.340) Epoch: [5][3500/5809] Time 0.245 (0.451) Data 0.179 (0.376) Loss 2.8932 (2.8843) Prec@1 27.344 (31.620) Prec@5 60.156 (61.340) Epoch: [5][3510/5809] Time 0.632 (0.451) Data 0.567 (0.376) Loss 2.7116 (2.8842) Prec@1 36.719 (31.623) Prec@5 65.625 (61.342) Epoch: [5][3520/5809] Time 0.740 (0.451) Data 0.681 (0.376) Loss 2.8378 (2.8843) Prec@1 33.594 (31.621) Prec@5 64.062 (61.343) Epoch: [5][3530/5809] Time 0.497 (0.450) Data 0.427 (0.376) Loss 2.7982 (2.8843) Prec@1 32.031 (31.624) Prec@5 62.891 (61.341) Epoch: [5][3540/5809] Time 0.723 (0.450) Data 0.659 (0.376) Loss 2.4876 (2.8841) Prec@1 38.281 (31.627) Prec@5 70.703 (61.345) Epoch: [5][3550/5809] Time 0.399 (0.450) Data 0.340 (0.376) Loss 2.7920 (2.8839) Prec@1 34.766 (31.631) Prec@5 59.766 (61.349) Epoch: [5][3560/5809] Time 0.392 (0.450) Data 0.333 (0.376) Loss 2.8687 (2.8838) Prec@1 31.641 (31.630) Prec@5 59.766 (61.350) Epoch: [5][3570/5809] Time 0.580 (0.450) Data 0.520 (0.376) Loss 2.9081 (2.8838) Prec@1 30.469 (31.632) Prec@5 61.719 (61.350) Epoch: [5][3580/5809] Time 0.381 (0.450) Data 0.318 (0.376) Loss 3.0109 (2.8838) Prec@1 30.859 (31.632) Prec@5 58.594 (61.350) Epoch: [5][3590/5809] Time 0.793 (0.450) Data 0.733 (0.376) Loss 3.0067 (2.8839) Prec@1 30.469 (31.630) Prec@5 61.328 (61.350) Epoch: [5][3600/5809] Time 0.241 (0.450) Data 0.183 (0.376) Loss 3.0230 (2.8840) Prec@1 33.984 (31.632) Prec@5 60.547 (61.347) Epoch: [5][3610/5809] Time 0.782 (0.450) Data 0.716 (0.376) Loss 2.8573 (2.8837) Prec@1 30.859 (31.636) Prec@5 62.500 (61.352) Epoch: [5][3620/5809] Time 0.263 (0.450) Data 0.199 (0.375) Loss 2.7876 (2.8837) Prec@1 33.984 (31.638) Prec@5 61.328 (61.355) Epoch: [5][3630/5809] Time 0.684 (0.450) Data 0.624 (0.376) Loss 2.8905 (2.8838) Prec@1 31.641 (31.637) Prec@5 60.547 (61.355) Epoch: [5][3640/5809] Time 0.336 (0.450) Data 0.277 (0.376) Loss 3.0006 (2.8839) Prec@1 30.078 (31.633) Prec@5 58.203 (61.350) Epoch: [5][3650/5809] Time 0.134 (0.450) Data 0.067 (0.376) Loss 3.0686 (2.8839) Prec@1 29.688 (31.633) Prec@5 62.500 (61.352) Epoch: [5][3660/5809] Time 0.591 (0.449) Data 0.532 (0.375) Loss 2.9745 (2.8837) Prec@1 27.344 (31.638) Prec@5 58.984 (61.359) Epoch: [5][3670/5809] Time 0.132 (0.449) Data 0.001 (0.375) Loss 3.0786 (2.8837) Prec@1 32.031 (31.639) Prec@5 56.641 (61.359) Epoch: [5][3680/5809] Time 0.637 (0.449) Data 0.578 (0.375) Loss 2.9712 (2.8838) Prec@1 27.734 (31.639) Prec@5 58.984 (61.360) Epoch: [5][3690/5809] Time 0.254 (0.449) Data 0.193 (0.375) Loss 2.9886 (2.8838) Prec@1 25.781 (31.636) Prec@5 58.594 (61.358) Epoch: [5][3700/5809] Time 1.141 (0.449) Data 1.081 (0.375) Loss 2.8444 (2.8838) Prec@1 34.375 (31.635) Prec@5 62.500 (61.355) Epoch: [5][3710/5809] Time 0.165 (0.449) Data 0.104 (0.375) Loss 2.9990 (2.8837) Prec@1 27.734 (31.636) Prec@5 59.766 (61.357) Epoch: [5][3720/5809] Time 0.913 (0.449) Data 0.850 (0.375) Loss 2.9788 (2.8837) Prec@1 31.641 (31.636) Prec@5 58.594 (61.361) Epoch: [5][3730/5809] Time 0.135 (0.449) Data 0.070 (0.375) Loss 2.8559 (2.8838) Prec@1 29.688 (31.637) Prec@5 64.844 (61.362) Epoch: [5][3740/5809] Time 0.644 (0.449) Data 0.585 (0.375) Loss 2.7141 (2.8836) Prec@1 35.547 (31.642) Prec@5 63.281 (61.367) Epoch: [5][3750/5809] Time 0.132 (0.449) Data 0.001 (0.375) Loss 2.9122 (2.8838) Prec@1 35.156 (31.642) Prec@5 59.375 (61.361) Epoch: [5][3760/5809] Time 0.213 (0.449) Data 0.155 (0.375) Loss 2.7988 (2.8839) Prec@1 33.984 (31.638) Prec@5 60.547 (61.357) Epoch: [5][3770/5809] Time 0.206 (0.449) Data 0.147 (0.375) Loss 2.9250 (2.8839) Prec@1 32.422 (31.642) Prec@5 60.547 (61.360) Epoch: [5][3780/5809] Time 0.238 (0.449) Data 0.179 (0.375) Loss 3.0093 (2.8839) Prec@1 28.906 (31.643) Prec@5 56.250 (61.361) Epoch: [5][3790/5809] Time 0.142 (0.449) Data 0.042 (0.375) Loss 2.9339 (2.8840) Prec@1 28.516 (31.640) Prec@5 61.719 (61.357) Epoch: [5][3800/5809] Time 0.324 (0.449) Data 0.265 (0.375) Loss 2.9484 (2.8836) Prec@1 33.203 (31.649) Prec@5 58.984 (61.364) Epoch: [5][3810/5809] Time 0.133 (0.449) Data 0.043 (0.375) Loss 2.8009 (2.8835) Prec@1 30.469 (31.653) Prec@5 62.109 (61.367) Epoch: [5][3820/5809] Time 0.283 (0.449) Data 0.223 (0.375) Loss 2.8424 (2.8833) Prec@1 33.203 (31.655) Prec@5 62.109 (61.373) Epoch: [5][3830/5809] Time 0.134 (0.449) Data 0.047 (0.375) Loss 2.8256 (2.8833) Prec@1 33.984 (31.657) Prec@5 61.719 (61.375) Epoch: [5][3840/5809] Time 0.134 (0.449) Data 0.071 (0.375) Loss 2.6999 (2.8833) Prec@1 32.422 (31.656) Prec@5 67.969 (61.375) Epoch: [5][3850/5809] Time 0.136 (0.449) Data 0.001 (0.375) Loss 2.8896 (2.8833) Prec@1 30.859 (31.655) Prec@5 63.281 (61.378) Epoch: [5][3860/5809] Time 0.200 (0.449) Data 0.140 (0.375) Loss 2.8166 (2.8832) Prec@1 31.250 (31.659) Prec@5 66.797 (61.381) Epoch: [5][3870/5809] Time 0.505 (0.449) Data 0.446 (0.375) Loss 2.9937 (2.8831) Prec@1 32.812 (31.662) Prec@5 58.594 (61.382) Epoch: [5][3880/5809] Time 0.134 (0.449) Data 0.001 (0.375) Loss 2.8572 (2.8830) Prec@1 31.641 (31.663) Prec@5 63.281 (61.387) Epoch: [5][3890/5809] Time 0.133 (0.449) Data 0.001 (0.375) Loss 2.6149 (2.8829) Prec@1 35.547 (31.666) Prec@5 70.703 (61.391) Epoch: [5][3900/5809] Time 0.134 (0.449) Data 0.063 (0.375) Loss 2.8876 (2.8829) Prec@1 30.859 (31.665) Prec@5 59.766 (61.390) Epoch: [5][3910/5809] Time 0.134 (0.449) Data 0.047 (0.375) Loss 2.9983 (2.8828) Prec@1 23.828 (31.665) Prec@5 58.984 (61.390) Epoch: [5][3920/5809] Time 0.328 (0.449) Data 0.270 (0.375) Loss 2.6903 (2.8828) Prec@1 36.328 (31.666) Prec@5 62.891 (61.390) Epoch: [5][3930/5809] Time 0.400 (0.450) Data 0.340 (0.375) Loss 2.9107 (2.8827) Prec@1 30.859 (31.667) Prec@5 59.375 (61.390) Epoch: [5][3940/5809] Time 0.133 (0.449) Data 0.001 (0.375) Loss 2.7774 (2.8827) Prec@1 32.422 (31.668) Prec@5 61.328 (61.389) Epoch: [5][3950/5809] Time 0.401 (0.450) Data 0.342 (0.375) Loss 2.9386 (2.8826) Prec@1 28.516 (31.666) Prec@5 57.812 (61.391) Epoch: [5][3960/5809] Time 0.133 (0.449) Data 0.048 (0.375) Loss 2.9346 (2.8825) Prec@1 33.594 (31.668) Prec@5 60.547 (61.393) Epoch: [5][3970/5809] Time 0.134 (0.450) Data 0.071 (0.375) Loss 2.6346 (2.8823) Prec@1 37.891 (31.671) Prec@5 65.625 (61.400) Epoch: [5][3980/5809] Time 0.133 (0.449) Data 0.064 (0.375) Loss 2.8879 (2.8822) Prec@1 31.641 (31.672) Prec@5 59.375 (61.403) Epoch: [5][3990/5809] Time 0.347 (0.450) Data 0.289 (0.375) Loss 2.8191 (2.8822) Prec@1 32.422 (31.672) Prec@5 64.844 (61.403) Epoch: [5][4000/5809] Time 0.154 (0.450) Data 0.095 (0.375) Loss 2.7032 (2.8822) Prec@1 33.203 (31.670) Prec@5 64.062 (61.403) Epoch: [5][4010/5809] Time 0.550 (0.450) Data 0.491 (0.376) Loss 2.7710 (2.8821) Prec@1 35.547 (31.676) Prec@5 63.281 (61.404) Epoch: [5][4020/5809] Time 0.365 (0.450) Data 0.307 (0.376) Loss 2.9269 (2.8822) Prec@1 32.812 (31.674) Prec@5 59.766 (61.404) Epoch: [5][4030/5809] Time 0.772 (0.450) Data 0.713 (0.376) Loss 2.7590 (2.8822) Prec@1 34.375 (31.672) Prec@5 64.844 (61.403) Epoch: [5][4040/5809] Time 0.411 (0.450) Data 0.352 (0.376) Loss 2.8834 (2.8823) Prec@1 30.859 (31.669) Prec@5 60.938 (61.402) Epoch: [5][4050/5809] Time 0.250 (0.450) Data 0.191 (0.376) Loss 2.6741 (2.8822) Prec@1 36.719 (31.671) Prec@5 66.406 (61.402) Epoch: [5][4060/5809] Time 0.457 (0.450) Data 0.398 (0.376) Loss 2.9863 (2.8823) Prec@1 28.516 (31.669) Prec@5 61.328 (61.399) Epoch: [5][4070/5809] Time 0.348 (0.450) Data 0.289 (0.376) Loss 2.7407 (2.8822) Prec@1 36.328 (31.670) Prec@5 63.281 (61.400) Epoch: [5][4080/5809] Time 0.903 (0.450) Data 0.844 (0.376) Loss 2.8878 (2.8820) Prec@1 34.766 (31.676) Prec@5 62.891 (61.403) Epoch: [5][4090/5809] Time 0.421 (0.450) Data 0.361 (0.376) Loss 2.7490 (2.8820) Prec@1 34.766 (31.680) Prec@5 62.891 (61.401) Epoch: [5][4100/5809] Time 0.792 (0.450) Data 0.733 (0.376) Loss 3.0332 (2.8820) Prec@1 30.469 (31.680) Prec@5 59.375 (61.401) Epoch: [5][4110/5809] Time 0.517 (0.450) Data 0.458 (0.376) Loss 3.0658 (2.8819) Prec@1 26.953 (31.682) Prec@5 57.422 (61.404) Epoch: [5][4120/5809] Time 0.895 (0.450) Data 0.833 (0.376) Loss 2.7609 (2.8817) Prec@1 33.984 (31.684) Prec@5 65.625 (61.406) Epoch: [5][4130/5809] Time 0.345 (0.450) Data 0.277 (0.376) Loss 2.8215 (2.8818) Prec@1 31.250 (31.683) Prec@5 62.500 (61.405) Epoch: [5][4140/5809] Time 1.465 (0.451) Data 1.401 (0.377) Loss 2.9949 (2.8818) Prec@1 32.422 (31.682) Prec@5 59.766 (61.405) Epoch: [5][4150/5809] Time 0.134 (0.450) Data 0.051 (0.376) Loss 2.8211 (2.8817) Prec@1 29.688 (31.681) Prec@5 62.109 (61.407) Epoch: [5][4160/5809] Time 1.264 (0.451) Data 1.205 (0.377) Loss 2.6720 (2.8816) Prec@1 35.156 (31.680) Prec@5 64.844 (61.411) Epoch: [5][4170/5809] Time 0.143 (0.451) Data 0.082 (0.377) Loss 2.7573 (2.8815) Prec@1 31.250 (31.681) Prec@5 64.062 (61.413) Epoch: [5][4180/5809] Time 1.527 (0.451) Data 1.468 (0.377) Loss 2.9062 (2.8817) Prec@1 30.469 (31.678) Prec@5 57.422 (61.408) Epoch: [5][4190/5809] Time 0.353 (0.451) Data 0.281 (0.377) Loss 2.6597 (2.8816) Prec@1 37.109 (31.680) Prec@5 64.062 (61.410) Epoch: [5][4200/5809] Time 1.362 (0.451) Data 1.302 (0.377) Loss 3.0047 (2.8816) Prec@1 26.562 (31.681) Prec@5 57.422 (61.411) Epoch: [5][4210/5809] Time 0.133 (0.451) Data 0.044 (0.377) Loss 2.8166 (2.8815) Prec@1 34.766 (31.682) Prec@5 62.109 (61.410) Epoch: [5][4220/5809] Time 0.941 (0.451) Data 0.881 (0.377) Loss 2.8394 (2.8815) Prec@1 30.859 (31.681) Prec@5 60.156 (61.410) Epoch: [5][4230/5809] Time 0.316 (0.451) Data 0.253 (0.377) Loss 2.7646 (2.8813) Prec@1 37.109 (31.685) Prec@5 64.062 (61.414) Epoch: [5][4240/5809] Time 0.829 (0.451) Data 0.771 (0.377) Loss 2.7621 (2.8812) Prec@1 32.812 (31.690) Prec@5 64.062 (61.419) Epoch: [5][4250/5809] Time 0.131 (0.451) Data 0.047 (0.377) Loss 2.8860 (2.8810) Prec@1 31.250 (31.692) Prec@5 58.203 (61.422) Epoch: [5][4260/5809] Time 0.468 (0.451) Data 0.408 (0.377) Loss 2.8975 (2.8808) Prec@1 33.594 (31.694) Prec@5 59.766 (61.428) Epoch: [5][4270/5809] Time 0.790 (0.452) Data 0.726 (0.378) Loss 3.1108 (2.8809) Prec@1 30.859 (31.691) Prec@5 50.391 (61.427) Epoch: [5][4280/5809] Time 0.323 (0.452) Data 0.262 (0.378) Loss 2.7730 (2.8808) Prec@1 34.766 (31.692) Prec@5 63.672 (61.429) Epoch: [5][4290/5809] Time 1.039 (0.452) Data 0.981 (0.378) Loss 2.8487 (2.8810) Prec@1 32.031 (31.691) Prec@5 59.766 (61.424) Epoch: [5][4300/5809] Time 0.306 (0.452) Data 0.243 (0.378) Loss 2.7028 (2.8811) Prec@1 35.547 (31.692) Prec@5 66.797 (61.424) Epoch: [5][4310/5809] Time 0.746 (0.452) Data 0.687 (0.378) Loss 2.9098 (2.8810) Prec@1 25.000 (31.690) Prec@5 62.109 (61.426) Epoch: [5][4320/5809] Time 0.449 (0.452) Data 0.390 (0.378) Loss 2.8880 (2.8811) Prec@1 29.688 (31.685) Prec@5 60.547 (61.424) Epoch: [5][4330/5809] Time 0.742 (0.452) Data 0.681 (0.378) Loss 2.8516 (2.8811) Prec@1 33.984 (31.684) Prec@5 62.109 (61.422) Epoch: [5][4340/5809] Time 0.133 (0.452) Data 0.069 (0.378) Loss 2.7646 (2.8811) Prec@1 30.469 (31.683) Prec@5 64.844 (61.423) Epoch: [5][4350/5809] Time 0.363 (0.452) Data 0.302 (0.378) Loss 2.9354 (2.8811) Prec@1 27.344 (31.682) Prec@5 61.328 (61.422) Epoch: [5][4360/5809] Time 0.133 (0.452) Data 0.001 (0.378) Loss 2.8765 (2.8810) Prec@1 30.469 (31.685) Prec@5 61.719 (61.423) Epoch: [5][4370/5809] Time 0.284 (0.452) Data 0.223 (0.378) Loss 2.8690 (2.8810) Prec@1 29.688 (31.685) Prec@5 59.375 (61.426) Epoch: [5][4380/5809] Time 0.415 (0.452) Data 0.357 (0.378) Loss 2.8196 (2.8810) Prec@1 35.547 (31.684) Prec@5 60.938 (61.423) Epoch: [5][4390/5809] Time 0.191 (0.452) Data 0.132 (0.378) Loss 2.9456 (2.8811) Prec@1 29.688 (31.683) Prec@5 61.719 (61.421) Epoch: [5][4400/5809] Time 0.566 (0.452) Data 0.508 (0.378) Loss 2.8432 (2.8810) Prec@1 30.859 (31.686) Prec@5 62.109 (61.421) Epoch: [5][4410/5809] Time 0.384 (0.452) Data 0.324 (0.378) Loss 3.0219 (2.8809) Prec@1 30.859 (31.689) Prec@5 59.766 (61.424) Epoch: [5][4420/5809] Time 0.936 (0.452) Data 0.876 (0.378) Loss 3.0272 (2.8808) Prec@1 27.344 (31.687) Prec@5 58.594 (61.425) Epoch: [5][4430/5809] Time 0.134 (0.452) Data 0.001 (0.378) Loss 2.8620 (2.8808) Prec@1 34.766 (31.690) Prec@5 64.453 (61.427) Epoch: [5][4440/5809] Time 0.952 (0.452) Data 0.892 (0.379) Loss 2.9175 (2.8807) Prec@1 31.250 (31.692) Prec@5 62.109 (61.430) Epoch: [5][4450/5809] Time 0.482 (0.453) Data 0.418 (0.379) Loss 2.8783 (2.8805) Prec@1 31.641 (31.695) Prec@5 60.938 (61.433) Epoch: [5][4460/5809] Time 0.447 (0.453) Data 0.387 (0.379) Loss 2.7611 (2.8804) Prec@1 33.203 (31.699) Prec@5 62.891 (61.438) Epoch: [5][4470/5809] Time 0.134 (0.453) Data 0.001 (0.379) Loss 2.9130 (2.8804) Prec@1 27.734 (31.698) Prec@5 61.328 (61.441) Epoch: [5][4480/5809] Time 0.560 (0.453) Data 0.501 (0.379) Loss 2.7741 (2.8802) Prec@1 34.375 (31.699) Prec@5 63.281 (61.442) Epoch: [5][4490/5809] Time 0.237 (0.453) Data 0.178 (0.379) Loss 2.9747 (2.8800) Prec@1 29.688 (31.703) Prec@5 59.766 (61.447) Epoch: [5][4500/5809] Time 0.705 (0.453) Data 0.646 (0.379) Loss 2.6185 (2.8800) Prec@1 35.938 (31.705) Prec@5 66.406 (61.447) Epoch: [5][4510/5809] Time 0.141 (0.453) Data 0.001 (0.379) Loss 2.8227 (2.8800) Prec@1 34.375 (31.704) Prec@5 63.281 (61.448) Epoch: [5][4520/5809] Time 0.540 (0.453) Data 0.481 (0.379) Loss 2.8044 (2.8799) Prec@1 34.375 (31.704) Prec@5 63.672 (61.450) Epoch: [5][4530/5809] Time 0.133 (0.453) Data 0.001 (0.380) Loss 2.9085 (2.8799) Prec@1 27.344 (31.700) Prec@5 62.500 (61.453) Epoch: [5][4540/5809] Time 0.461 (0.453) Data 0.401 (0.380) Loss 2.6892 (2.8799) Prec@1 34.766 (31.701) Prec@5 67.188 (61.454) Epoch: [5][4550/5809] Time 0.133 (0.454) Data 0.001 (0.380) Loss 2.8930 (2.8799) Prec@1 31.641 (31.701) Prec@5 60.938 (61.455) Epoch: [5][4560/5809] Time 0.131 (0.453) Data 0.046 (0.380) Loss 2.8201 (2.8798) Prec@1 33.594 (31.702) Prec@5 64.453 (61.459) Epoch: [5][4570/5809] Time 0.133 (0.454) Data 0.001 (0.380) Loss 3.0410 (2.8797) Prec@1 28.516 (31.703) Prec@5 56.641 (61.459) Epoch: [5][4580/5809] Time 0.293 (0.454) Data 0.233 (0.380) Loss 2.7591 (2.8798) Prec@1 32.422 (31.702) Prec@5 63.281 (61.456) Epoch: [5][4590/5809] Time 0.131 (0.454) Data 0.001 (0.380) Loss 3.0629 (2.8798) Prec@1 26.562 (31.700) Prec@5 57.422 (61.459) Epoch: [5][4600/5809] Time 0.622 (0.454) Data 0.556 (0.380) Loss 2.8101 (2.8798) Prec@1 35.156 (31.699) Prec@5 63.672 (61.459) Epoch: [5][4610/5809] Time 0.787 (0.454) Data 0.727 (0.380) Loss 2.8470 (2.8799) Prec@1 31.641 (31.696) Prec@5 59.766 (61.454) Epoch: [5][4620/5809] Time 0.671 (0.454) Data 0.612 (0.380) Loss 2.8912 (2.8799) Prec@1 33.203 (31.697) Prec@5 62.500 (61.453) Epoch: [5][4630/5809] Time 0.459 (0.454) Data 0.396 (0.380) Loss 3.0301 (2.8799) Prec@1 28.125 (31.699) Prec@5 59.766 (61.454) Epoch: [5][4640/5809] Time 1.106 (0.454) Data 1.047 (0.380) Loss 2.7611 (2.8797) Prec@1 29.688 (31.701) Prec@5 66.406 (61.457) Epoch: [5][4650/5809] Time 0.238 (0.454) Data 0.176 (0.380) Loss 2.8266 (2.8795) Prec@1 33.203 (31.707) Prec@5 62.891 (61.461) Epoch: [5][4660/5809] Time 0.679 (0.454) Data 0.619 (0.380) Loss 2.7430 (2.8794) Prec@1 33.203 (31.707) Prec@5 67.188 (61.464) Epoch: [5][4670/5809] Time 0.140 (0.454) Data 0.045 (0.380) Loss 2.8661 (2.8794) Prec@1 32.031 (31.703) Prec@5 62.109 (61.464) Epoch: [5][4680/5809] Time 0.594 (0.454) Data 0.531 (0.381) Loss 2.6568 (2.8793) Prec@1 35.938 (31.706) Prec@5 66.406 (61.468) Epoch: [5][4690/5809] Time 0.192 (0.454) Data 0.130 (0.381) Loss 2.7992 (2.8793) Prec@1 30.469 (31.704) Prec@5 66.797 (61.470) Epoch: [5][4700/5809] Time 0.550 (0.455) Data 0.492 (0.381) Loss 2.7150 (2.8793) Prec@1 34.766 (31.706) Prec@5 65.234 (61.471) Epoch: [5][4710/5809] Time 0.133 (0.455) Data 0.043 (0.381) Loss 2.8059 (2.8792) Prec@1 31.641 (31.707) Prec@5 64.062 (61.474) Epoch: [5][4720/5809] Time 0.363 (0.455) Data 0.304 (0.381) Loss 2.8340 (2.8790) Prec@1 33.203 (31.712) Prec@5 61.719 (61.478) Epoch: [5][4730/5809] Time 0.138 (0.455) Data 0.047 (0.381) Loss 2.8113 (2.8789) Prec@1 32.031 (31.713) Prec@5 62.891 (61.478) Epoch: [5][4740/5809] Time 0.474 (0.455) Data 0.410 (0.381) Loss 2.7342 (2.8788) Prec@1 33.203 (31.715) Prec@5 61.719 (61.481) Epoch: [5][4750/5809] Time 0.131 (0.455) Data 0.044 (0.381) Loss 2.8371 (2.8787) Prec@1 31.250 (31.716) Prec@5 63.281 (61.483) Epoch: [5][4760/5809] Time 0.274 (0.455) Data 0.214 (0.381) Loss 2.9342 (2.8786) Prec@1 28.125 (31.714) Prec@5 63.281 (61.487) Epoch: [5][4770/5809] Time 0.250 (0.455) Data 0.191 (0.381) Loss 2.9199 (2.8787) Prec@1 28.125 (31.711) Prec@5 60.156 (61.482) Epoch: [5][4780/5809] Time 0.129 (0.455) Data 0.051 (0.381) Loss 2.6737 (2.8786) Prec@1 37.109 (31.714) Prec@5 66.406 (61.486) Epoch: [5][4790/5809] Time 0.512 (0.455) Data 0.453 (0.381) Loss 2.8091 (2.8787) Prec@1 30.469 (31.712) Prec@5 63.672 (61.484) Epoch: [5][4800/5809] Time 0.171 (0.455) Data 0.111 (0.381) Loss 2.6829 (2.8786) Prec@1 38.281 (31.713) Prec@5 64.844 (61.486) Epoch: [5][4810/5809] Time 0.261 (0.455) Data 0.202 (0.381) Loss 2.7925 (2.8784) Prec@1 36.719 (31.717) Prec@5 62.109 (61.489) Epoch: [5][4820/5809] Time 0.460 (0.455) Data 0.401 (0.381) Loss 2.5736 (2.8783) Prec@1 38.672 (31.718) Prec@5 65.625 (61.491) Epoch: [5][4830/5809] Time 0.254 (0.455) Data 0.194 (0.381) Loss 2.8666 (2.8782) Prec@1 30.078 (31.718) Prec@5 62.109 (61.495) Epoch: [5][4840/5809] Time 0.296 (0.455) Data 0.237 (0.381) Loss 2.8398 (2.8781) Prec@1 33.594 (31.721) Prec@5 60.156 (61.495) Epoch: [5][4850/5809] Time 0.321 (0.455) Data 0.262 (0.382) Loss 3.0696 (2.8781) Prec@1 28.906 (31.722) Prec@5 54.688 (61.494) Epoch: [5][4860/5809] Time 0.132 (0.455) Data 0.044 (0.382) Loss 3.2192 (2.8782) Prec@1 26.562 (31.719) Prec@5 52.734 (61.490) Epoch: [5][4870/5809] Time 0.134 (0.456) Data 0.001 (0.382) Loss 2.7763 (2.8783) Prec@1 32.422 (31.716) Prec@5 60.156 (61.486) Epoch: [5][4880/5809] Time 0.320 (0.456) Data 0.262 (0.382) Loss 2.6123 (2.8782) Prec@1 33.984 (31.717) Prec@5 70.312 (61.489) Epoch: [5][4890/5809] Time 0.132 (0.456) Data 0.046 (0.382) Loss 2.8276 (2.8781) Prec@1 30.469 (31.720) Prec@5 62.500 (61.490) Epoch: [5][4900/5809] Time 0.394 (0.456) Data 0.330 (0.382) Loss 3.0542 (2.8781) Prec@1 28.516 (31.720) Prec@5 60.156 (61.490) Epoch: [5][4910/5809] Time 0.134 (0.456) Data 0.001 (0.382) Loss 2.7776 (2.8781) Prec@1 28.516 (31.719) Prec@5 63.672 (61.489) Epoch: [5][4920/5809] Time 0.792 (0.456) Data 0.732 (0.382) Loss 2.8876 (2.8781) Prec@1 33.203 (31.720) Prec@5 61.328 (61.490) Epoch: [5][4930/5809] Time 0.306 (0.456) Data 0.248 (0.382) Loss 2.8302 (2.8780) Prec@1 32.812 (31.720) Prec@5 67.188 (61.491) Epoch: [5][4940/5809] Time 0.571 (0.456) Data 0.512 (0.382) Loss 2.8485 (2.8780) Prec@1 34.766 (31.722) Prec@5 61.328 (61.492) Epoch: [5][4950/5809] Time 0.467 (0.456) Data 0.406 (0.382) Loss 2.9173 (2.8782) Prec@1 34.375 (31.720) Prec@5 61.328 (61.486) Epoch: [5][4960/5809] Time 0.769 (0.456) Data 0.711 (0.382) Loss 2.8848 (2.8782) Prec@1 32.422 (31.719) Prec@5 61.328 (61.485) Epoch: [5][4970/5809] Time 0.535 (0.456) Data 0.476 (0.382) Loss 2.9607 (2.8782) Prec@1 31.641 (31.720) Prec@5 61.719 (61.487) Epoch: [5][4980/5809] Time 0.630 (0.456) Data 0.570 (0.383) Loss 2.9094 (2.8782) Prec@1 29.297 (31.720) Prec@5 59.375 (61.487) Epoch: [5][4990/5809] Time 0.125 (0.456) Data 0.047 (0.383) Loss 2.8008 (2.8781) Prec@1 34.375 (31.720) Prec@5 65.234 (61.488) Epoch: [5][5000/5809] Time 0.797 (0.456) Data 0.736 (0.383) Loss 2.4763 (2.8780) Prec@1 39.453 (31.725) Prec@5 70.312 (61.492) Epoch: [5][5010/5809] Time 0.172 (0.456) Data 0.113 (0.383) Loss 2.7535 (2.8780) Prec@1 35.938 (31.724) Prec@5 63.281 (61.491) Epoch: [5][5020/5809] Time 1.201 (0.457) Data 1.135 (0.383) Loss 2.9506 (2.8782) Prec@1 28.906 (31.723) Prec@5 59.766 (61.488) Epoch: [5][5030/5809] Time 0.132 (0.457) Data 0.001 (0.383) Loss 2.8094 (2.8781) Prec@1 33.594 (31.724) Prec@5 60.938 (61.489) Epoch: [5][5040/5809] Time 0.951 (0.457) Data 0.891 (0.383) Loss 2.8458 (2.8782) Prec@1 28.516 (31.723) Prec@5 62.109 (61.489) Epoch: [5][5050/5809] Time 0.133 (0.457) Data 0.044 (0.383) Loss 2.7869 (2.8781) Prec@1 35.547 (31.723) Prec@5 64.062 (61.489) Epoch: [5][5060/5809] Time 1.237 (0.457) Data 1.174 (0.383) Loss 2.7922 (2.8781) Prec@1 32.812 (31.725) Prec@5 59.375 (61.492) Epoch: [5][5070/5809] Time 0.133 (0.457) Data 0.001 (0.383) Loss 2.8246 (2.8779) Prec@1 30.859 (31.727) Prec@5 64.453 (61.498) Epoch: [5][5080/5809] Time 0.808 (0.457) Data 0.749 (0.383) Loss 2.8913 (2.8779) Prec@1 33.203 (31.727) Prec@5 62.500 (61.500) Epoch: [5][5090/5809] Time 0.201 (0.457) Data 0.136 (0.383) Loss 2.9515 (2.8778) Prec@1 30.078 (31.727) Prec@5 61.719 (61.501) Epoch: [5][5100/5809] Time 1.216 (0.457) Data 1.157 (0.383) Loss 2.8921 (2.8778) Prec@1 30.078 (31.725) Prec@5 56.641 (61.501) Epoch: [5][5110/5809] Time 0.174 (0.457) Data 0.115 (0.383) Loss 2.9317 (2.8779) Prec@1 28.516 (31.725) Prec@5 62.109 (61.501) Epoch: [5][5120/5809] Time 0.978 (0.457) Data 0.919 (0.383) Loss 2.7759 (2.8779) Prec@1 34.375 (31.725) Prec@5 62.891 (61.501) Epoch: [5][5130/5809] Time 0.386 (0.457) Data 0.326 (0.383) Loss 2.7931 (2.8778) Prec@1 36.328 (31.728) Prec@5 64.453 (61.502) Epoch: [5][5140/5809] Time 0.578 (0.457) Data 0.520 (0.383) Loss 2.8254 (2.8778) Prec@1 32.422 (31.727) Prec@5 66.016 (61.503) Epoch: [5][5150/5809] Time 0.707 (0.457) Data 0.648 (0.383) Loss 3.0378 (2.8777) Prec@1 33.594 (31.729) Prec@5 57.422 (61.505) Epoch: [5][5160/5809] Time 0.535 (0.457) Data 0.468 (0.384) Loss 3.0461 (2.8779) Prec@1 27.734 (31.725) Prec@5 55.078 (61.502) Epoch: [5][5170/5809] Time 0.344 (0.457) Data 0.285 (0.384) Loss 2.8881 (2.8779) Prec@1 31.250 (31.726) Prec@5 62.891 (61.501) Epoch: [5][5180/5809] Time 0.599 (0.457) Data 0.531 (0.384) Loss 2.8500 (2.8779) Prec@1 33.594 (31.728) Prec@5 58.594 (61.501) Epoch: [5][5190/5809] Time 0.306 (0.457) Data 0.247 (0.384) Loss 2.7715 (2.8778) Prec@1 30.859 (31.729) Prec@5 63.672 (61.502) Epoch: [5][5200/5809] Time 0.737 (0.457) Data 0.677 (0.384) Loss 2.8133 (2.8778) Prec@1 33.203 (31.729) Prec@5 63.281 (61.502) Epoch: [5][5210/5809] Time 0.135 (0.457) Data 0.001 (0.384) Loss 2.6214 (2.8776) Prec@1 37.109 (31.731) Prec@5 64.844 (61.504) Epoch: [5][5220/5809] Time 0.845 (0.458) Data 0.785 (0.384) Loss 2.7746 (2.8775) Prec@1 30.859 (31.731) Prec@5 62.500 (61.507) Epoch: [5][5230/5809] Time 0.135 (0.458) Data 0.075 (0.384) Loss 3.0708 (2.8774) Prec@1 29.297 (31.730) Prec@5 55.469 (61.508) Epoch: [5][5240/5809] Time 0.345 (0.458) Data 0.284 (0.384) Loss 2.9056 (2.8773) Prec@1 30.859 (31.730) Prec@5 62.891 (61.511) Epoch: [5][5250/5809] Time 0.601 (0.458) Data 0.541 (0.384) Loss 2.9146 (2.8773) Prec@1 29.688 (31.733) Prec@5 66.797 (61.512) Epoch: [5][5260/5809] Time 0.134 (0.458) Data 0.001 (0.384) Loss 2.6681 (2.8773) Prec@1 36.328 (31.735) Prec@5 64.453 (61.512) Epoch: [5][5270/5809] Time 0.817 (0.458) Data 0.754 (0.384) Loss 2.8441 (2.8771) Prec@1 33.203 (31.737) Prec@5 62.500 (61.514) Epoch: [5][5280/5809] Time 0.368 (0.458) Data 0.308 (0.384) Loss 2.6664 (2.8770) Prec@1 34.766 (31.739) Prec@5 68.750 (61.519) Epoch: [5][5290/5809] Time 0.913 (0.458) Data 0.853 (0.384) Loss 2.7441 (2.8770) Prec@1 34.375 (31.739) Prec@5 62.500 (61.517) Epoch: [5][5300/5809] Time 0.516 (0.458) Data 0.455 (0.384) Loss 2.8623 (2.8770) Prec@1 31.641 (31.740) Prec@5 60.156 (61.518) Epoch: [5][5310/5809] Time 0.709 (0.458) Data 0.651 (0.384) Loss 2.7119 (2.8768) Prec@1 35.156 (31.742) Prec@5 66.406 (61.522) Epoch: [5][5320/5809] Time 0.368 (0.458) Data 0.306 (0.385) Loss 2.9830 (2.8768) Prec@1 29.688 (31.743) Prec@5 58.203 (61.523) Epoch: [5][5330/5809] Time 1.134 (0.458) Data 1.075 (0.385) Loss 2.8342 (2.8767) Prec@1 32.812 (31.742) Prec@5 62.500 (61.523) Epoch: [5][5340/5809] Time 0.465 (0.458) Data 0.406 (0.385) Loss 2.7099 (2.8767) Prec@1 32.812 (31.741) Prec@5 64.453 (61.525) Epoch: [5][5350/5809] Time 0.729 (0.458) Data 0.668 (0.385) Loss 3.0358 (2.8768) Prec@1 28.125 (31.739) Prec@5 60.938 (61.524) Epoch: [5][5360/5809] Time 0.133 (0.458) Data 0.046 (0.385) Loss 2.5855 (2.8767) Prec@1 37.109 (31.742) Prec@5 66.797 (61.524) Epoch: [5][5370/5809] Time 0.327 (0.458) Data 0.268 (0.385) Loss 2.9235 (2.8767) Prec@1 28.906 (31.739) Prec@5 60.938 (61.523) Epoch: [5][5380/5809] Time 0.192 (0.458) Data 0.128 (0.385) Loss 2.9047 (2.8767) Prec@1 28.516 (31.738) Prec@5 60.547 (61.525) Epoch: [5][5390/5809] Time 0.283 (0.458) Data 0.221 (0.385) Loss 2.9983 (2.8766) Prec@1 26.953 (31.738) Prec@5 61.719 (61.527) Epoch: [5][5400/5809] Time 0.374 (0.459) Data 0.315 (0.385) Loss 2.8188 (2.8767) Prec@1 30.859 (31.738) Prec@5 63.672 (61.526) Epoch: [5][5410/5809] Time 0.414 (0.459) Data 0.344 (0.385) Loss 3.0521 (2.8767) Prec@1 30.469 (31.737) Prec@5 61.719 (61.524) Epoch: [5][5420/5809] Time 0.939 (0.459) Data 0.874 (0.385) Loss 2.9062 (2.8766) Prec@1 27.344 (31.737) Prec@5 62.891 (61.528) Epoch: [5][5430/5809] Time 0.540 (0.459) Data 0.477 (0.386) Loss 2.9750 (2.8766) Prec@1 31.250 (31.735) Prec@5 59.375 (61.528) Epoch: [5][5440/5809] Time 0.848 (0.459) Data 0.788 (0.386) Loss 2.8852 (2.8765) Prec@1 35.547 (31.737) Prec@5 61.328 (61.531) Epoch: [5][5450/5809] Time 0.542 (0.459) Data 0.483 (0.386) Loss 2.9447 (2.8765) Prec@1 30.469 (31.736) Prec@5 60.938 (61.531) Epoch: [5][5460/5809] Time 0.944 (0.459) Data 0.885 (0.386) Loss 2.9343 (2.8765) Prec@1 30.078 (31.736) Prec@5 60.547 (61.531) Epoch: [5][5470/5809] Time 0.152 (0.459) Data 0.091 (0.386) Loss 2.8986 (2.8764) Prec@1 28.906 (31.736) Prec@5 62.500 (61.531) Epoch: [5][5480/5809] Time 1.073 (0.459) Data 1.005 (0.386) Loss 2.8118 (2.8764) Prec@1 33.203 (31.737) Prec@5 62.500 (61.531) Epoch: [5][5490/5809] Time 0.329 (0.459) Data 0.269 (0.386) Loss 2.8212 (2.8764) Prec@1 33.203 (31.736) Prec@5 65.234 (61.531) Epoch: [5][5500/5809] Time 0.226 (0.459) Data 0.166 (0.386) Loss 2.8987 (2.8763) Prec@1 33.594 (31.737) Prec@5 64.844 (61.534) Epoch: [5][5510/5809] Time 1.353 (0.460) Data 1.294 (0.386) Loss 2.8201 (2.8763) Prec@1 31.641 (31.735) Prec@5 63.281 (61.537) Epoch: [5][5520/5809] Time 0.382 (0.460) Data 0.315 (0.386) Loss 2.8234 (2.8763) Prec@1 30.469 (31.734) Prec@5 64.062 (61.537) Epoch: [5][5530/5809] Time 1.346 (0.460) Data 1.281 (0.387) Loss 2.9520 (2.8762) Prec@1 31.641 (31.735) Prec@5 60.547 (61.537) Epoch: [5][5540/5809] Time 0.591 (0.460) Data 0.531 (0.387) Loss 2.9534 (2.8763) Prec@1 24.609 (31.733) Prec@5 60.547 (61.538) Epoch: [5][5550/5809] Time 1.080 (0.460) Data 1.010 (0.387) Loss 2.8430 (2.8762) Prec@1 32.422 (31.734) Prec@5 65.234 (61.539) Epoch: [5][5560/5809] Time 0.322 (0.460) Data 0.258 (0.387) Loss 2.9631 (2.8762) Prec@1 27.734 (31.733) Prec@5 58.203 (61.538) Epoch: [5][5570/5809] Time 1.304 (0.460) Data 1.240 (0.387) Loss 2.9994 (2.8762) Prec@1 28.516 (31.732) Prec@5 58.594 (61.536) Epoch: [5][5580/5809] Time 0.133 (0.460) Data 0.001 (0.387) Loss 3.0542 (2.8762) Prec@1 28.125 (31.730) Prec@5 58.203 (61.537) Epoch: [5][5590/5809] Time 1.193 (0.460) Data 1.134 (0.387) Loss 3.1441 (2.8763) Prec@1 25.391 (31.728) Prec@5 53.516 (61.534) Epoch: [5][5600/5809] Time 0.131 (0.460) Data 0.045 (0.387) Loss 2.7430 (2.8761) Prec@1 33.203 (31.730) Prec@5 63.672 (61.536) Epoch: [5][5610/5809] Time 1.131 (0.461) Data 1.066 (0.387) Loss 2.7982 (2.8761) Prec@1 32.422 (31.729) Prec@5 63.281 (61.538) Epoch: [5][5620/5809] Time 0.168 (0.461) Data 0.109 (0.387) Loss 2.7516 (2.8762) Prec@1 33.984 (31.727) Prec@5 64.844 (61.539) Epoch: [5][5630/5809] Time 0.983 (0.461) Data 0.920 (0.387) Loss 2.7601 (2.8761) Prec@1 33.984 (31.728) Prec@5 63.672 (61.540) Epoch: [5][5640/5809] Time 0.472 (0.461) Data 0.412 (0.387) Loss 2.9955 (2.8760) Prec@1 33.984 (31.732) Prec@5 62.500 (61.543) Epoch: [5][5650/5809] Time 0.515 (0.461) Data 0.455 (0.388) Loss 2.8969 (2.8760) Prec@1 29.688 (31.732) Prec@5 62.109 (61.543) Epoch: [5][5660/5809] Time 0.833 (0.461) Data 0.772 (0.388) Loss 2.7234 (2.8759) Prec@1 31.250 (31.732) Prec@5 66.016 (61.545) Epoch: [5][5670/5809] Time 0.333 (0.461) Data 0.275 (0.388) Loss 2.8645 (2.8759) Prec@1 33.594 (31.731) Prec@5 62.891 (61.547) Epoch: [5][5680/5809] Time 0.474 (0.461) Data 0.411 (0.388) Loss 2.8383 (2.8759) Prec@1 31.250 (31.733) Prec@5 60.547 (61.547) Epoch: [5][5690/5809] Time 0.449 (0.461) Data 0.389 (0.388) Loss 2.7315 (2.8758) Prec@1 30.078 (31.735) Prec@5 66.797 (61.550) Epoch: [5][5700/5809] Time 1.053 (0.462) Data 0.993 (0.388) Loss 2.7138 (2.8757) Prec@1 34.375 (31.736) Prec@5 63.672 (61.553) Epoch: [5][5710/5809] Time 0.455 (0.462) Data 0.396 (0.388) Loss 2.7764 (2.8758) Prec@1 32.812 (31.735) Prec@5 60.547 (61.550) Epoch: [5][5720/5809] Time 1.389 (0.462) Data 1.330 (0.389) Loss 2.7356 (2.8759) Prec@1 36.719 (31.734) Prec@5 65.234 (61.547) Epoch: [5][5730/5809] Time 0.140 (0.462) Data 0.080 (0.389) Loss 2.7342 (2.8759) Prec@1 34.766 (31.735) Prec@5 60.156 (61.547) Epoch: [5][5740/5809] Time 1.602 (0.462) Data 1.543 (0.389) Loss 2.7899 (2.8758) Prec@1 36.719 (31.737) Prec@5 64.453 (61.550) Epoch: [5][5750/5809] Time 0.500 (0.462) Data 0.441 (0.389) Loss 3.0555 (2.8757) Prec@1 32.812 (31.739) Prec@5 59.375 (61.551) Epoch: [5][5760/5809] Time 1.396 (0.463) Data 1.334 (0.389) Loss 2.8592 (2.8756) Prec@1 32.031 (31.740) Prec@5 65.234 (61.553) Epoch: [5][5770/5809] Time 0.140 (0.463) Data 0.001 (0.389) Loss 3.0999 (2.8757) Prec@1 26.953 (31.738) Prec@5 55.078 (61.550) Epoch: [5][5780/5809] Time 1.799 (0.463) Data 1.739 (0.390) Loss 3.0849 (2.8758) Prec@1 28.125 (31.736) Prec@5 56.641 (61.548) Epoch: [5][5790/5809] Time 0.750 (0.463) Data 0.690 (0.390) Loss 2.9803 (2.8759) Prec@1 34.375 (31.737) Prec@5 60.938 (61.548) Epoch: [5][5800/5809] Time 0.956 (0.463) Data 0.897 (0.390) Loss 2.8770 (2.8759) Prec@1 32.031 (31.738) Prec@5 57.812 (61.547) Test: [0/143] Time 2.171 (2.171) Loss 1.7825 (1.7825) Prec@1 55.078 (55.078) Prec@5 85.547 (85.547) Test: [10/143] Time 0.511 (0.568) Loss 9.8437 (8.6589) Prec@1 0.000 (6.712) Prec@5 0.000 (13.920) Test: [20/143] Time 0.752 (0.507) Loss 10.2026 (9.4770) Prec@1 0.000 (3.590) Prec@5 0.391 (7.868) Test: [30/143] Time 0.480 (0.491) Loss 11.7703 (9.9600) Prec@1 0.000 (2.457) Prec@5 0.000 (5.658) Test: [40/143] Time 0.440 (0.481) Loss 10.5069 (10.0382) Prec@1 0.000 (1.905) Prec@5 1.172 (4.697) Test: [50/143] Time 0.361 (0.462) Loss 9.1377 (10.0182) Prec@1 0.000 (1.639) Prec@5 0.391 (4.833) Test: [60/143] Time 0.410 (0.460) Loss 10.6735 (10.1398) Prec@1 0.000 (1.377) Prec@5 1.172 (4.169) Test: [70/143] Time 0.638 (0.460) Loss 8.8880 (10.2328) Prec@1 0.000 (1.205) Prec@5 0.391 (3.730) Test: [80/143] Time 0.408 (0.465) Loss 8.1771 (10.2098) Prec@1 0.000 (1.104) Prec@5 1.172 (3.549) Test: [90/143] Time 0.369 (0.458) Loss 8.2272 (10.1160) Prec@1 0.391 (1.017) Prec@5 2.344 (3.413) Test: [100/143] Time 0.058 (0.456) Loss 10.0818 (10.0746) Prec@1 0.000 (0.951) Prec@5 0.000 (3.210) Test: [110/143] Time 0.673 (0.457) Loss 12.4000 (10.0654) Prec@1 0.000 (0.901) Prec@5 0.000 (3.065) Test: [120/143] Time 0.450 (0.450) Loss 13.5556 (10.1410) Prec@1 0.000 (0.833) Prec@5 0.000 (2.889) Test: [130/143] Time 0.509 (0.448) Loss 14.0032 (10.4926) Prec@1 0.000 (0.769) Prec@5 0.000 (2.669) Test: [140/143] Time 0.166 (0.448) Loss 15.2241 (10.7824) Prec@1 0.000 (0.715) Prec@5 0.000 (2.479) * Prec@1 0.707 Prec@5 2.453 Epoch: [6][0/5809] Time 3.233 (3.233) Data 3.171 (3.171) Loss 2.8240 (2.8240) Prec@1 35.156 (35.156) Prec@5 63.281 (63.281) Epoch: [6][10/5809] Time 0.134 (0.665) Data 0.004 (0.569) Loss 2.8900 (2.8099) Prec@1 32.812 (33.523) Prec@5 59.766 (62.038) Epoch: [6][20/5809] Time 1.206 (0.604) Data 1.148 (0.507) Loss 2.6369 (2.8205) Prec@1 33.984 (32.961) Prec@5 63.281 (62.054) Epoch: [6][30/5809] Time 0.136 (0.547) Data 0.047 (0.459) Loss 2.7006 (2.8431) Prec@1 33.203 (32.346) Prec@5 64.844 (61.946) Epoch: [6][40/5809] Time 1.209 (0.544) Data 1.151 (0.459) Loss 3.0683 (2.8490) Prec@1 28.125 (32.536) Prec@5 60.547 (61.976) Epoch: [6][50/5809] Time 0.137 (0.532) Data 0.078 (0.450) Loss 2.5933 (2.8361) Prec@1 35.938 (32.721) Prec@5 68.359 (62.331) Epoch: [6][60/5809] Time 0.767 (0.527) Data 0.708 (0.448) Loss 2.7309 (2.8465) Prec@1 36.719 (32.627) Prec@5 64.844 (62.052) Epoch: [6][70/5809] Time 0.684 (0.530) Data 0.626 (0.452) Loss 2.6445 (2.8333) Prec@1 37.109 (32.735) Prec@5 65.625 (62.379) Epoch: [6][80/5809] Time 0.598 (0.521) Data 0.540 (0.444) Loss 2.8267 (2.8320) Prec@1 33.203 (32.817) Prec@5 64.453 (62.568) Epoch: [6][90/5809] Time 0.672 (0.519) Data 0.613 (0.442) Loss 2.8464 (2.8360) Prec@1 29.297 (32.684) Prec@5 60.547 (62.509) Epoch: [6][100/5809] Time 0.642 (0.515) Data 0.583 (0.438) Loss 2.8048 (2.8295) Prec@1 38.281 (32.905) Prec@5 66.016 (62.558) Epoch: [6][110/5809] Time 0.780 (0.515) Data 0.722 (0.440) Loss 2.7877 (2.8218) Prec@1 31.250 (32.981) Prec@5 63.281 (62.637) Epoch: [6][120/5809] Time 0.703 (0.516) Data 0.640 (0.442) Loss 2.7558 (2.8251) Prec@1 33.203 (32.845) Prec@5 63.672 (62.558) Epoch: [6][130/5809] Time 0.471 (0.516) Data 0.406 (0.443) Loss 2.8900 (2.8298) Prec@1 29.688 (32.774) Prec@5 60.156 (62.411) Epoch: [6][140/5809] Time 0.570 (0.515) Data 0.511 (0.443) Loss 2.8378 (2.8317) Prec@1 30.859 (32.652) Prec@5 63.281 (62.425) Epoch: [6][150/5809] Time 0.461 (0.516) Data 0.401 (0.444) Loss 2.7295 (2.8307) Prec@1 35.938 (32.694) Prec@5 66.797 (62.433) Epoch: [6][160/5809] Time 0.710 (0.512) Data 0.651 (0.439) Loss 2.9888 (2.8328) Prec@1 29.688 (32.638) Prec@5 58.203 (62.371) Epoch: [6][170/5809] Time 0.133 (0.510) Data 0.061 (0.438) Loss 2.7089 (2.8305) Prec@1 33.203 (32.694) Prec@5 63.672 (62.381) Epoch: [6][180/5809] Time 0.439 (0.510) Data 0.380 (0.438) Loss 2.8868 (2.8288) Prec@1 32.031 (32.722) Prec@5 58.984 (62.379) Epoch: [6][190/5809] Time 0.227 (0.508) Data 0.168 (0.437) Loss 2.8909 (2.8312) Prec@1 32.812 (32.577) Prec@5 58.594 (62.367) Epoch: [6][200/5809] Time 0.834 (0.508) Data 0.775 (0.437) Loss 2.8606 (2.8275) Prec@1 32.031 (32.605) Prec@5 63.281 (62.453) Epoch: [6][210/5809] Time 0.140 (0.507) Data 0.053 (0.436) Loss 2.8447 (2.8285) Prec@1 31.641 (32.585) Prec@5 62.109 (62.413) Epoch: [6][220/5809] Time 0.886 (0.508) Data 0.828 (0.437) Loss 2.8754 (2.8300) Prec@1 27.734 (32.542) Prec@5 58.984 (62.385) Epoch: [6][230/5809] Time 0.137 (0.508) Data 0.001 (0.437) Loss 3.0531 (2.8304) Prec@1 27.344 (32.547) Prec@5 55.859 (62.356) Epoch: [6][240/5809] Time 0.838 (0.510) Data 0.779 (0.439) Loss 3.0456 (2.8311) Prec@1 28.125 (32.511) Prec@5 59.766 (62.372) Epoch: [6][250/5809] Time 0.366 (0.510) Data 0.307 (0.438) Loss 2.8590 (2.8299) Prec@1 28.906 (32.481) Prec@5 64.844 (62.416) Epoch: [6][260/5809] Time 0.825 (0.510) Data 0.766 (0.438) Loss 2.6819 (2.8295) Prec@1 33.984 (32.435) Prec@5 67.578 (62.454) Epoch: [6][270/5809] Time 0.553 (0.510) Data 0.494 (0.439) Loss 2.8577 (2.8274) Prec@1 32.812 (32.480) Prec@5 58.203 (62.478) Epoch: [6][280/5809] Time 0.598 (0.510) Data 0.539 (0.439) Loss 2.8135 (2.8301) Prec@1 31.250 (32.426) Prec@5 60.547 (62.408) Epoch: [6][290/5809] Time 1.438 (0.513) Data 1.378 (0.442) Loss 2.8596 (2.8287) Prec@1 30.078 (32.438) Prec@5 61.719 (62.454) Epoch: [6][300/5809] Time 0.519 (0.512) Data 0.458 (0.440) Loss 3.1695 (2.8280) Prec@1 26.562 (32.463) Prec@5 59.766 (62.483) Epoch: [6][310/5809] Time 0.900 (0.512) Data 0.831 (0.439) Loss 2.6911 (2.8280) Prec@1 35.938 (32.498) Prec@5 67.188 (62.499) Epoch: [6][320/5809] Time 0.839 (0.512) Data 0.779 (0.440) Loss 2.7759 (2.8300) Prec@1 33.984 (32.458) Prec@5 61.328 (62.457) Epoch: [6][330/5809] Time 0.961 (0.513) Data 0.901 (0.439) Loss 2.9422 (2.8302) Prec@1 32.031 (32.451) Prec@5 60.547 (62.472) Epoch: [6][340/5809] Time 0.394 (0.512) Data 0.331 (0.438) Loss 2.8927 (2.8289) Prec@1 32.422 (32.456) Prec@5 62.500 (62.525) Epoch: [6][350/5809] Time 0.842 (0.512) Data 0.781 (0.439) Loss 2.7971 (2.8284) Prec@1 30.078 (32.475) Prec@5 64.062 (62.539) Epoch: [6][360/5809] Time 0.559 (0.512) Data 0.500 (0.439) Loss 2.7507 (2.8296) Prec@1 34.375 (32.499) Prec@5 62.891 (62.527) Epoch: [6][370/5809] Time 0.397 (0.511) Data 0.335 (0.438) Loss 2.6769 (2.8297) Prec@1 34.766 (32.492) Prec@5 64.062 (62.527) Epoch: [6][380/5809] Time 0.429 (0.511) Data 0.370 (0.439) Loss 2.8880 (2.8302) Prec@1 34.375 (32.529) Prec@5 63.672 (62.518) Epoch: [6][390/5809] Time 0.187 (0.512) Data 0.129 (0.440) Loss 2.8724 (2.8308) Prec@1 32.422 (32.520) Prec@5 59.766 (62.510) Epoch: [6][400/5809] Time 0.134 (0.511) Data 0.001 (0.439) Loss 2.9562 (2.8324) Prec@1 32.812 (32.482) Prec@5 59.375 (62.482) Epoch: [6][410/5809] Time 0.132 (0.512) Data 0.052 (0.439) Loss 3.1462 (2.8328) Prec@1 26.562 (32.453) Prec@5 56.641 (62.484) Epoch: [6][420/5809] Time 0.149 (0.510) Data 0.088 (0.437) Loss 2.9908 (2.8328) Prec@1 26.953 (32.421) Prec@5 57.031 (62.474) Epoch: [6][430/5809] Time 0.131 (0.511) Data 0.062 (0.438) Loss 2.7638 (2.8334) Prec@1 30.469 (32.402) Prec@5 64.453 (62.453) Epoch: [6][440/5809] Time 0.327 (0.510) Data 0.266 (0.437) Loss 3.0349 (2.8345) Prec@1 32.031 (32.401) Prec@5 61.328 (62.463) Epoch: [6][450/5809] Time 0.156 (0.510) Data 0.098 (0.437) Loss 3.0263 (2.8338) Prec@1 30.859 (32.417) Prec@5 60.547 (62.468) Epoch: [6][460/5809] Time 0.233 (0.509) Data 0.169 (0.435) Loss 2.7769 (2.8343) Prec@1 34.766 (32.418) Prec@5 61.719 (62.453) Epoch: [6][470/5809] Time 0.225 (0.509) Data 0.160 (0.436) Loss 2.9163 (2.8336) Prec@1 30.078 (32.438) Prec@5 61.719 (62.465) Epoch: [6][480/5809] Time 0.133 (0.508) Data 0.001 (0.434) Loss 2.8953 (2.8331) Prec@1 31.250 (32.450) Prec@5 57.031 (62.481) Epoch: [6][490/5809] Time 0.132 (0.508) Data 0.049 (0.434) Loss 3.0034 (2.8331) Prec@1 30.078 (32.461) Prec@5 60.938 (62.485) Epoch: [6][500/5809] Time 0.134 (0.507) Data 0.066 (0.434) Loss 2.7413 (2.8333) Prec@1 32.812 (32.452) Prec@5 63.281 (62.481) Epoch: [6][510/5809] Time 0.632 (0.507) Data 0.569 (0.434) Loss 2.9218 (2.8336) Prec@1 30.469 (32.450) Prec@5 63.281 (62.483) Epoch: [6][520/5809] Time 0.347 (0.507) Data 0.288 (0.434) Loss 2.7321 (2.8331) Prec@1 34.375 (32.464) Prec@5 62.891 (62.500) Epoch: [6][530/5809] Time 0.925 (0.507) Data 0.862 (0.434) Loss 2.8100 (2.8328) Prec@1 32.812 (32.472) Prec@5 61.719 (62.503) Epoch: [6][540/5809] Time 0.471 (0.506) Data 0.405 (0.433) Loss 2.7656 (2.8326) Prec@1 35.156 (32.455) Prec@5 65.625 (62.522) Epoch: [6][550/5809] Time 1.041 (0.506) Data 0.982 (0.433) Loss 2.7904 (2.8323) Prec@1 35.547 (32.450) Prec@5 64.453 (62.516) Epoch: [6][560/5809] Time 0.575 (0.506) Data 0.517 (0.433) Loss 2.6188 (2.8316) Prec@1 38.281 (32.469) Prec@5 65.625 (62.521) Epoch: [6][570/5809] Time 0.766 (0.506) Data 0.690 (0.433) Loss 2.6822 (2.8311) Prec@1 33.594 (32.466) Prec@5 67.188 (62.529) Epoch: [6][580/5809] Time 1.080 (0.506) Data 1.021 (0.433) Loss 2.6953 (2.8314) Prec@1 30.078 (32.435) Prec@5 68.750 (62.525) Epoch: [6][590/5809] Time 0.859 (0.506) Data 0.794 (0.433) Loss 3.0635 (2.8311) Prec@1 32.422 (32.430) Prec@5 56.250 (62.544) Epoch: [6][600/5809] Time 0.278 (0.505) Data 0.218 (0.432) Loss 2.7513 (2.8309) Prec@1 32.031 (32.447) Prec@5 65.234 (62.557) Epoch: [6][610/5809] Time 0.372 (0.505) Data 0.314 (0.432) Loss 2.7610 (2.8316) Prec@1 32.812 (32.444) Prec@5 60.938 (62.543) Epoch: [6][620/5809] Time 0.512 (0.504) Data 0.450 (0.432) Loss 2.7941 (2.8321) Prec@1 28.125 (32.437) Prec@5 63.672 (62.531) Epoch: [6][630/5809] Time 0.242 (0.505) Data 0.184 (0.432) Loss 2.7183 (2.8328) Prec@1 35.156 (32.444) Prec@5 63.672 (62.497) Epoch: [6][640/5809] Time 0.762 (0.504) Data 0.702 (0.431) Loss 2.7773 (2.8339) Prec@1 31.250 (32.424) Prec@5 66.797 (62.468) Epoch: [6][650/5809] Time 0.525 (0.504) Data 0.466 (0.431) Loss 2.7822 (2.8335) Prec@1 29.688 (32.440) Prec@5 64.453 (62.480) Epoch: [6][660/5809] Time 0.641 (0.504) Data 0.582 (0.431) Loss 2.8959 (2.8341) Prec@1 29.688 (32.427) Prec@5 62.500 (62.470) Epoch: [6][670/5809] Time 0.632 (0.504) Data 0.573 (0.431) Loss 2.7658 (2.8346) Prec@1 32.422 (32.425) Prec@5 64.844 (62.464) Epoch: [6][680/5809] Time 0.330 (0.503) Data 0.271 (0.431) Loss 2.8262 (2.8346) Prec@1 35.938 (32.426) Prec@5 62.109 (62.462) Epoch: [6][690/5809] Time 1.171 (0.503) Data 1.107 (0.431) Loss 2.6209 (2.8342) Prec@1 35.547 (32.422) Prec@5 70.312 (62.468) Epoch: [6][700/5809] Time 0.508 (0.502) Data 0.449 (0.430) Loss 2.7165 (2.8346) Prec@1 33.594 (32.413) Prec@5 64.062 (62.464) Epoch: [6][710/5809] Time 1.536 (0.502) Data 1.477 (0.430) Loss 2.8040 (2.8346) Prec@1 32.812 (32.400) Prec@5 64.062 (62.471) Epoch: [6][720/5809] Time 0.231 (0.501) Data 0.171 (0.429) Loss 2.8949 (2.8348) Prec@1 27.734 (32.403) Prec@5 61.719 (62.462) Epoch: [6][730/5809] Time 1.210 (0.501) Data 1.151 (0.429) Loss 3.1100 (2.8342) Prec@1 28.516 (32.421) Prec@5 57.812 (62.471) Epoch: [6][740/5809] Time 0.140 (0.501) Data 0.001 (0.428) Loss 2.6397 (2.8333) Prec@1 35.547 (32.424) Prec@5 67.969 (62.486) Epoch: [6][750/5809] Time 0.987 (0.501) Data 0.927 (0.428) Loss 3.0075 (2.8333) Prec@1 28.516 (32.435) Prec@5 57.422 (62.479) Epoch: [6][760/5809] Time 0.140 (0.500) Data 0.080 (0.427) Loss 2.7030 (2.8330) Prec@1 32.812 (32.441) Prec@5 64.062 (62.474) Epoch: [6][770/5809] Time 0.716 (0.501) Data 0.641 (0.428) Loss 2.7686 (2.8329) Prec@1 34.375 (32.444) Prec@5 65.625 (62.474) Epoch: [6][780/5809] Time 0.159 (0.500) Data 0.098 (0.427) Loss 2.8344 (2.8327) Prec@1 32.422 (32.459) Prec@5 60.547 (62.469) Epoch: [6][790/5809] Time 0.826 (0.500) Data 0.766 (0.427) Loss 2.7308 (2.8329) Prec@1 31.250 (32.453) Prec@5 61.328 (62.469) Epoch: [6][800/5809] Time 0.304 (0.499) Data 0.245 (0.426) Loss 2.6873 (2.8317) Prec@1 37.109 (32.457) Prec@5 66.016 (62.506) Epoch: [6][810/5809] Time 0.254 (0.499) Data 0.191 (0.426) Loss 2.9763 (2.8326) Prec@1 29.688 (32.448) Prec@5 59.766 (62.502) Epoch: [6][820/5809] Time 0.536 (0.498) Data 0.474 (0.426) Loss 2.9313 (2.8325) Prec@1 31.250 (32.452) Prec@5 64.453 (62.497) Epoch: [6][830/5809] Time 0.378 (0.498) Data 0.318 (0.426) Loss 2.9640 (2.8333) Prec@1 27.344 (32.438) Prec@5 62.500 (62.485) Epoch: [6][840/5809] Time 0.360 (0.498) Data 0.301 (0.426) Loss 3.0972 (2.8334) Prec@1 30.078 (32.433) Prec@5 57.812 (62.481) Epoch: [6][850/5809] Time 0.142 (0.498) Data 0.001 (0.426) Loss 2.8642 (2.8340) Prec@1 33.203 (32.422) Prec@5 58.594 (62.470) Epoch: [6][860/5809] Time 0.450 (0.498) Data 0.392 (0.426) Loss 3.1129 (2.8345) Prec@1 29.297 (32.417) Prec@5 58.984 (62.466) Epoch: [6][870/5809] Time 0.133 (0.498) Data 0.001 (0.426) Loss 2.5721 (2.8336) Prec@1 38.672 (32.433) Prec@5 66.797 (62.493) Epoch: [6][880/5809] Time 0.366 (0.497) Data 0.303 (0.425) Loss 2.6420 (2.8335) Prec@1 35.547 (32.429) Prec@5 65.234 (62.495) Epoch: [6][890/5809] Time 0.746 (0.498) Data 0.687 (0.426) Loss 3.0450 (2.8336) Prec@1 31.641 (32.440) Prec@5 57.812 (62.491) Epoch: [6][900/5809] Time 0.134 (0.497) Data 0.001 (0.425) Loss 2.8916 (2.8340) Prec@1 36.328 (32.427) Prec@5 61.328 (62.484) Epoch: [6][910/5809] Time 0.860 (0.498) Data 0.795 (0.426) Loss 2.8871 (2.8342) Prec@1 30.859 (32.425) Prec@5 62.500 (62.485) Epoch: [6][920/5809] Time 0.335 (0.497) Data 0.273 (0.425) Loss 2.9510 (2.8346) Prec@1 29.688 (32.413) Prec@5 60.938 (62.490) Epoch: [6][930/5809] Time 0.633 (0.497) Data 0.568 (0.425) Loss 2.8492 (2.8341) Prec@1 32.031 (32.416) Prec@5 63.281 (62.500) Epoch: [6][940/5809] Time 0.329 (0.496) Data 0.271 (0.424) Loss 2.8219 (2.8340) Prec@1 32.812 (32.425) Prec@5 67.578 (62.512) Epoch: [6][950/5809] Time 0.874 (0.497) Data 0.809 (0.425) Loss 2.6877 (2.8334) Prec@1 32.812 (32.451) Prec@5 67.578 (62.515) Epoch: [6][960/5809] Time 0.133 (0.496) Data 0.001 (0.424) Loss 2.8412 (2.8331) Prec@1 32.031 (32.460) Prec@5 64.453 (62.533) Epoch: [6][970/5809] Time 0.556 (0.497) Data 0.497 (0.424) Loss 2.9305 (2.8335) Prec@1 34.375 (32.448) Prec@5 62.109 (62.513) Epoch: [6][980/5809] Time 0.126 (0.496) Data 0.049 (0.423) Loss 2.8614 (2.8335) Prec@1 30.469 (32.447) Prec@5 63.281 (62.518) Epoch: [6][990/5809] Time 0.227 (0.496) Data 0.163 (0.423) Loss 2.8551 (2.8337) Prec@1 35.156 (32.455) Prec@5 64.453 (62.511) Epoch: [6][1000/5809] Time 0.133 (0.495) Data 0.001 (0.422) Loss 2.7662 (2.8332) Prec@1 28.906 (32.456) Prec@5 65.625 (62.520) Epoch: [6][1010/5809] Time 0.338 (0.494) Data 0.278 (0.422) Loss 2.9296 (2.8331) Prec@1 35.156 (32.471) Prec@5 60.547 (62.515) Epoch: [6][1020/5809] Time 0.515 (0.494) Data 0.455 (0.421) Loss 2.8043 (2.8335) Prec@1 32.812 (32.461) Prec@5 61.328 (62.507) Epoch: [6][1030/5809] Time 0.709 (0.496) Data 0.650 (0.424) Loss 2.8208 (2.8334) Prec@1 28.906 (32.460) Prec@5 65.234 (62.505) Epoch: [6][1040/5809] Time 0.499 (0.497) Data 0.436 (0.425) Loss 2.8518 (2.8337) Prec@1 30.469 (32.437) Prec@5 60.938 (62.497) Epoch: [6][1050/5809] Time 0.134 (0.497) Data 0.001 (0.425) Loss 2.9646 (2.8340) Prec@1 31.641 (32.435) Prec@5 57.031 (62.493) Epoch: [6][1060/5809] Time 1.171 (0.498) Data 1.108 (0.426) Loss 2.8982 (2.8336) Prec@1 29.688 (32.432) Prec@5 59.766 (62.485) Epoch: [6][1070/5809] Time 0.218 (0.497) Data 0.159 (0.425) Loss 2.8103 (2.8336) Prec@1 30.469 (32.424) Prec@5 64.453 (62.484) Epoch: [6][1080/5809] Time 0.725 (0.498) Data 0.666 (0.425) Loss 2.7992 (2.8337) Prec@1 30.078 (32.409) Prec@5 66.797 (62.485) Epoch: [6][1090/5809] Time 0.134 (0.497) Data 0.073 (0.424) Loss 2.6920 (2.8335) Prec@1 33.203 (32.406) Prec@5 66.797 (62.489) Epoch: [6][1100/5809] Time 0.132 (0.497) Data 0.047 (0.424) Loss 2.8741 (2.8340) Prec@1 32.422 (32.400) Prec@5 61.719 (62.477) Epoch: [6][1110/5809] Time 0.133 (0.496) Data 0.001 (0.424) Loss 2.9231 (2.8342) Prec@1 28.516 (32.391) Prec@5 61.328 (62.469) Epoch: [6][1120/5809] Time 0.406 (0.496) Data 0.348 (0.424) Loss 3.0252 (2.8347) Prec@1 29.688 (32.390) Prec@5 58.984 (62.448) Epoch: [6][1130/5809] Time 0.134 (0.495) Data 0.074 (0.423) Loss 2.9794 (2.8348) Prec@1 30.078 (32.392) Prec@5 58.203 (62.449) Epoch: [6][1140/5809] Time 0.405 (0.496) Data 0.346 (0.423) Loss 2.6980 (2.8343) Prec@1 37.891 (32.409) Prec@5 60.938 (62.446) Epoch: [6][1150/5809] Time 0.180 (0.495) Data 0.122 (0.423) Loss 2.6750 (2.8340) Prec@1 34.766 (32.419) Prec@5 67.188 (62.452) Epoch: [6][1160/5809] Time 0.133 (0.495) Data 0.005 (0.423) Loss 2.8219 (2.8335) Prec@1 32.031 (32.424) Prec@5 64.453 (62.462) Epoch: [6][1170/5809] Time 0.561 (0.495) Data 0.502 (0.422) Loss 2.7939 (2.8337) Prec@1 29.688 (32.419) Prec@5 62.109 (62.456) Epoch: [6][1180/5809] Time 0.261 (0.494) Data 0.202 (0.422) Loss 2.8910 (2.8336) Prec@1 33.984 (32.425) Prec@5 62.109 (62.465) Epoch: [6][1190/5809] Time 0.132 (0.494) Data 0.070 (0.422) Loss 2.7384 (2.8339) Prec@1 34.375 (32.421) Prec@5 63.281 (62.453) Epoch: [6][1200/5809] Time 0.133 (0.494) Data 0.002 (0.421) Loss 2.9829 (2.8343) Prec@1 33.984 (32.425) Prec@5 58.203 (62.453) Epoch: [6][1210/5809] Time 0.155 (0.493) Data 0.096 (0.421) Loss 2.8180 (2.8346) Prec@1 32.422 (32.423) Prec@5 62.109 (62.450) Epoch: [6][1220/5809] Time 0.369 (0.493) Data 0.310 (0.420) Loss 2.8555 (2.8346) Prec@1 30.469 (32.422) Prec@5 61.719 (62.440) Epoch: [6][1230/5809] Time 0.479 (0.493) Data 0.420 (0.421) Loss 2.8129 (2.8344) Prec@1 32.031 (32.429) Prec@5 62.891 (62.448) Epoch: [6][1240/5809] Time 0.436 (0.493) Data 0.372 (0.420) Loss 2.8568 (2.8338) Prec@1 32.812 (32.440) Prec@5 62.891 (62.459) Epoch: [6][1250/5809] Time 0.135 (0.492) Data 0.001 (0.420) Loss 2.7871 (2.8337) Prec@1 31.250 (32.428) Prec@5 66.406 (62.464) Epoch: [6][1260/5809] Time 0.133 (0.492) Data 0.055 (0.420) Loss 2.8997 (2.8338) Prec@1 32.031 (32.432) Prec@5 62.109 (62.461) Epoch: [6][1270/5809] Time 0.134 (0.492) Data 0.001 (0.420) Loss 2.7804 (2.8338) Prec@1 37.891 (32.434) Prec@5 63.672 (62.461) Epoch: [6][1280/5809] Time 0.214 (0.492) Data 0.154 (0.419) Loss 2.8966 (2.8336) Prec@1 32.031 (32.440) Prec@5 60.547 (62.466) Epoch: [6][1290/5809] Time 0.133 (0.491) Data 0.009 (0.419) Loss 2.9506 (2.8341) Prec@1 31.250 (32.432) Prec@5 58.984 (62.459) Epoch: [6][1300/5809] Time 0.566 (0.491) Data 0.506 (0.419) Loss 2.9575 (2.8340) Prec@1 28.516 (32.429) Prec@5 57.812 (62.467) Epoch: [6][1310/5809] Time 0.229 (0.491) Data 0.165 (0.418) Loss 2.9318 (2.8346) Prec@1 28.906 (32.424) Prec@5 60.547 (62.451) Epoch: [6][1320/5809] Time 1.010 (0.491) Data 0.946 (0.419) Loss 2.9668 (2.8348) Prec@1 29.297 (32.419) Prec@5 62.891 (62.448) Epoch: [6][1330/5809] Time 0.291 (0.490) Data 0.227 (0.418) Loss 2.8161 (2.8348) Prec@1 32.031 (32.416) Prec@5 65.625 (62.462) Epoch: [6][1340/5809] Time 0.132 (0.490) Data 0.051 (0.418) Loss 2.7207 (2.8345) Prec@1 37.891 (32.423) Prec@5 64.844 (62.468) Epoch: [6][1350/5809] Time 0.321 (0.490) Data 0.262 (0.418) Loss 3.0288 (2.8345) Prec@1 33.203 (32.425) Prec@5 59.375 (62.470) Epoch: [6][1360/5809] Time 0.232 (0.490) Data 0.170 (0.418) Loss 2.9486 (2.8340) Prec@1 30.469 (32.433) Prec@5 56.250 (62.468) Epoch: [6][1370/5809] Time 0.133 (0.489) Data 0.047 (0.417) Loss 2.6160 (2.8337) Prec@1 38.672 (32.446) Prec@5 64.062 (62.474) Epoch: [6][1380/5809] Time 0.324 (0.489) Data 0.264 (0.417) Loss 2.9687 (2.8336) Prec@1 31.250 (32.447) Prec@5 57.031 (62.470) Epoch: [6][1390/5809] Time 0.134 (0.489) Data 0.049 (0.417) Loss 2.9222 (2.8335) Prec@1 30.859 (32.446) Prec@5 61.328 (62.470) Epoch: [6][1400/5809] Time 0.242 (0.489) Data 0.178 (0.417) Loss 2.7398 (2.8334) Prec@1 33.984 (32.451) Prec@5 61.719 (62.471) Epoch: [6][1410/5809] Time 0.178 (0.488) Data 0.118 (0.416) Loss 2.8275 (2.8331) Prec@1 34.375 (32.456) Prec@5 62.500 (62.475) Epoch: [6][1420/5809] Time 0.381 (0.488) Data 0.318 (0.416) Loss 2.8219 (2.8332) Prec@1 34.375 (32.451) Prec@5 62.109 (62.473) Epoch: [6][1430/5809] Time 0.293 (0.488) Data 0.234 (0.416) Loss 2.7832 (2.8329) Prec@1 32.422 (32.454) Prec@5 64.844 (62.481) Epoch: [6][1440/5809] Time 0.499 (0.488) Data 0.440 (0.416) Loss 2.8208 (2.8329) Prec@1 32.422 (32.453) Prec@5 64.062 (62.480) Epoch: [6][1450/5809] Time 0.134 (0.488) Data 0.001 (0.416) Loss 2.7612 (2.8329) Prec@1 36.328 (32.453) Prec@5 66.016 (62.473) Epoch: [6][1460/5809] Time 0.902 (0.488) Data 0.842 (0.416) Loss 2.8026 (2.8329) Prec@1 33.203 (32.451) Prec@5 64.453 (62.472) Epoch: [6][1470/5809] Time 0.134 (0.487) Data 0.001 (0.415) Loss 2.9157 (2.8333) Prec@1 29.688 (32.441) Prec@5 62.891 (62.470) Epoch: [6][1480/5809] Time 0.910 (0.487) Data 0.851 (0.415) Loss 2.6659 (2.8329) Prec@1 33.203 (32.455) Prec@5 66.406 (62.475) Epoch: [6][1490/5809] Time 0.266 (0.487) Data 0.202 (0.415) Loss 2.8426 (2.8335) Prec@1 34.375 (32.441) Prec@5 66.406 (62.470) Epoch: [6][1500/5809] Time 0.776 (0.487) Data 0.714 (0.415) Loss 2.7215 (2.8330) Prec@1 34.375 (32.447) Prec@5 62.500 (62.483) Epoch: [6][1510/5809] Time 0.591 (0.487) Data 0.532 (0.415) Loss 2.6886 (2.8328) Prec@1 36.328 (32.457) Prec@5 67.969 (62.487) Epoch: [6][1520/5809] Time 1.149 (0.487) Data 1.087 (0.415) Loss 2.6038 (2.8327) Prec@1 36.328 (32.463) Prec@5 66.016 (62.485) Epoch: [6][1530/5809] Time 0.378 (0.487) Data 0.319 (0.415) Loss 3.1701 (2.8329) Prec@1 26.562 (32.455) Prec@5 55.078 (62.483) Epoch: [6][1540/5809] Time 1.029 (0.487) Data 0.965 (0.415) Loss 2.8407 (2.8331) Prec@1 32.812 (32.454) Prec@5 60.156 (62.484) Epoch: [6][1550/5809] Time 0.134 (0.486) Data 0.001 (0.414) Loss 2.8238 (2.8328) Prec@1 34.766 (32.464) Prec@5 63.672 (62.491) Epoch: [6][1560/5809] Time 0.730 (0.486) Data 0.671 (0.414) Loss 2.9424 (2.8328) Prec@1 32.422 (32.462) Prec@5 58.203 (62.492) Epoch: [6][1570/5809] Time 0.632 (0.486) Data 0.571 (0.414) Loss 2.5815 (2.8328) Prec@1 36.719 (32.466) Prec@5 69.531 (62.495) Epoch: [6][1580/5809] Time 0.254 (0.486) Data 0.190 (0.414) Loss 2.6917 (2.8327) Prec@1 34.375 (32.469) Prec@5 69.141 (62.500) Epoch: [6][1590/5809] Time 0.686 (0.486) Data 0.628 (0.414) Loss 2.8461 (2.8328) Prec@1 30.859 (32.460) Prec@5 62.891 (62.499) Epoch: [6][1600/5809] Time 0.138 (0.486) Data 0.079 (0.414) Loss 2.9227 (2.8326) Prec@1 33.594 (32.457) Prec@5 58.984 (62.499) Epoch: [6][1610/5809] Time 0.820 (0.486) Data 0.759 (0.414) Loss 2.8648 (2.8325) Prec@1 32.812 (32.461) Prec@5 62.891 (62.496) Epoch: [6][1620/5809] Time 0.223 (0.486) Data 0.164 (0.414) Loss 2.9597 (2.8328) Prec@1 30.078 (32.458) Prec@5 57.031 (62.487) Epoch: [6][1630/5809] Time 0.370 (0.486) Data 0.311 (0.414) Loss 2.7667 (2.8324) Prec@1 33.984 (32.466) Prec@5 62.891 (62.490) Epoch: [6][1640/5809] Time 0.353 (0.486) Data 0.288 (0.414) Loss 2.7748 (2.8319) Prec@1 35.547 (32.475) Prec@5 63.281 (62.497) Epoch: [6][1650/5809] Time 0.131 (0.486) Data 0.045 (0.414) Loss 2.7459 (2.8319) Prec@1 30.859 (32.466) Prec@5 63.281 (62.496) Epoch: [6][1660/5809] Time 0.132 (0.486) Data 0.072 (0.414) Loss 2.8462 (2.8320) Prec@1 33.984 (32.466) Prec@5 62.500 (62.484) Epoch: [6][1670/5809] Time 0.355 (0.486) Data 0.296 (0.414) Loss 2.7926 (2.8319) Prec@1 33.984 (32.464) Prec@5 63.281 (62.489) Epoch: [6][1680/5809] Time 0.138 (0.486) Data 0.001 (0.414) Loss 2.9642 (2.8318) Prec@1 30.078 (32.454) Prec@5 62.109 (62.487) Epoch: [6][1690/5809] Time 0.214 (0.486) Data 0.150 (0.413) Loss 2.7237 (2.8318) Prec@1 32.422 (32.450) Prec@5 62.500 (62.492) Epoch: [6][1700/5809] Time 0.126 (0.486) Data 0.001 (0.414) Loss 2.9592 (2.8319) Prec@1 28.906 (32.454) Prec@5 60.547 (62.499) Epoch: [6][1710/5809] Time 0.356 (0.486) Data 0.297 (0.413) Loss 2.7104 (2.8319) Prec@1 29.688 (32.447) Prec@5 66.016 (62.491) Epoch: [6][1720/5809] Time 0.132 (0.486) Data 0.001 (0.413) Loss 2.8542 (2.8325) Prec@1 32.812 (32.435) Prec@5 62.109 (62.483) Epoch: [6][1730/5809] Time 0.133 (0.485) Data 0.001 (0.413) Loss 2.8168 (2.8324) Prec@1 30.078 (32.438) Prec@5 62.109 (62.485) Epoch: [6][1740/5809] Time 0.133 (0.486) Data 0.045 (0.413) Loss 2.8225 (2.8322) Prec@1 34.375 (32.443) Prec@5 64.453 (62.492) Epoch: [6][1750/5809] Time 0.156 (0.485) Data 0.097 (0.412) Loss 2.7044 (2.8327) Prec@1 33.203 (32.432) Prec@5 62.891 (62.481) Epoch: [6][1760/5809] Time 0.134 (0.486) Data 0.001 (0.413) Loss 2.9339 (2.8330) Prec@1 31.641 (32.423) Prec@5 59.375 (62.478) Epoch: [6][1770/5809] Time 0.134 (0.485) Data 0.001 (0.412) Loss 2.8504 (2.8325) Prec@1 33.984 (32.441) Prec@5 64.062 (62.493) Epoch: [6][1780/5809] Time 0.135 (0.486) Data 0.001 (0.413) Loss 2.9132 (2.8325) Prec@1 28.125 (32.437) Prec@5 64.062 (62.498) Epoch: [6][1790/5809] Time 0.173 (0.485) Data 0.114 (0.412) Loss 2.8892 (2.8327) Prec@1 30.078 (32.429) Prec@5 63.672 (62.497) Epoch: [6][1800/5809] Time 0.132 (0.485) Data 0.046 (0.412) Loss 2.7892 (2.8329) Prec@1 32.422 (32.431) Prec@5 63.672 (62.496) Epoch: [6][1810/5809] Time 0.192 (0.485) Data 0.131 (0.411) Loss 2.8546 (2.8326) Prec@1 29.297 (32.436) Prec@5 58.594 (62.498) Epoch: [6][1820/5809] Time 0.247 (0.485) Data 0.183 (0.412) Loss 2.8650 (2.8327) Prec@1 33.984 (32.430) Prec@5 63.281 (62.494) Epoch: [6][1830/5809] Time 0.288 (0.485) Data 0.227 (0.411) Loss 2.8975 (2.8327) Prec@1 29.297 (32.424) Prec@5 62.891 (62.496) Epoch: [6][1840/5809] Time 0.220 (0.485) Data 0.162 (0.412) Loss 2.7581 (2.8325) Prec@1 32.812 (32.422) Prec@5 63.281 (62.505) Epoch: [6][1850/5809] Time 0.135 (0.485) Data 0.001 (0.411) Loss 2.7895 (2.8327) Prec@1 29.688 (32.418) Prec@5 63.281 (62.504) Epoch: [6][1860/5809] Time 0.583 (0.485) Data 0.525 (0.412) Loss 2.9423 (2.8323) Prec@1 34.375 (32.423) Prec@5 57.031 (62.507) Epoch: [6][1870/5809] Time 0.649 (0.485) Data 0.584 (0.411) Loss 2.8132 (2.8322) Prec@1 35.547 (32.428) Prec@5 64.453 (62.506) Epoch: [6][1880/5809] Time 0.847 (0.485) Data 0.788 (0.412) Loss 2.8061 (2.8325) Prec@1 31.250 (32.422) Prec@5 60.938 (62.495) Epoch: [6][1890/5809] Time 0.827 (0.485) Data 0.763 (0.411) Loss 2.9394 (2.8329) Prec@1 28.516 (32.418) Prec@5 61.328 (62.491) Epoch: [6][1900/5809] Time 0.590 (0.484) Data 0.530 (0.411) Loss 2.7407 (2.8327) Prec@1 33.984 (32.423) Prec@5 65.234 (62.492) Epoch: [6][1910/5809] Time 0.540 (0.484) Data 0.473 (0.411) Loss 2.7964 (2.8325) Prec@1 30.859 (32.428) Prec@5 60.547 (62.494) Epoch: [6][1920/5809] Time 0.426 (0.484) Data 0.366 (0.411) Loss 2.8324 (2.8328) Prec@1 35.156 (32.423) Prec@5 62.109 (62.492) Epoch: [6][1930/5809] Time 0.696 (0.484) Data 0.630 (0.411) Loss 2.8182 (2.8327) Prec@1 31.641 (32.422) Prec@5 61.328 (62.494) Epoch: [6][1940/5809] Time 0.310 (0.484) Data 0.250 (0.411) Loss 2.8342 (2.8329) Prec@1 28.906 (32.419) Prec@5 64.062 (62.495) Epoch: [6][1950/5809] Time 0.724 (0.484) Data 0.664 (0.411) Loss 2.9781 (2.8328) Prec@1 28.516 (32.418) Prec@5 58.594 (62.499) Epoch: [6][1960/5809] Time 0.365 (0.484) Data 0.306 (0.411) Loss 2.9010 (2.8334) Prec@1 32.422 (32.408) Prec@5 64.453 (62.492) Epoch: [6][1970/5809] Time 0.371 (0.484) Data 0.313 (0.411) Loss 2.8760 (2.8336) Prec@1 35.156 (32.407) Prec@5 62.891 (62.488) Epoch: [6][1980/5809] Time 0.673 (0.484) Data 0.610 (0.411) Loss 2.8669 (2.8337) Prec@1 32.031 (32.406) Prec@5 61.328 (62.483) Epoch: [6][1990/5809] Time 0.197 (0.484) Data 0.138 (0.411) Loss 3.0139 (2.8335) Prec@1 30.859 (32.411) Prec@5 59.375 (62.483) Epoch: [6][2000/5809] Time 0.565 (0.484) Data 0.506 (0.411) Loss 2.7460 (2.8334) Prec@1 34.766 (32.410) Prec@5 67.188 (62.489) Epoch: [6][2010/5809] Time 0.146 (0.483) Data 0.082 (0.411) Loss 2.8448 (2.8335) Prec@1 34.766 (32.408) Prec@5 62.891 (62.492) Epoch: [6][2020/5809] Time 0.434 (0.484) Data 0.373 (0.411) Loss 2.9731 (2.8337) Prec@1 32.031 (32.401) Prec@5 60.938 (62.489) Epoch: [6][2030/5809] Time 0.173 (0.483) Data 0.113 (0.411) Loss 2.7210 (2.8339) Prec@1 33.203 (32.399) Prec@5 66.406 (62.484) Epoch: [6][2040/5809] Time 0.133 (0.483) Data 0.001 (0.411) Loss 2.8406 (2.8341) Prec@1 34.375 (32.397) Prec@5 60.938 (62.480) Epoch: [6][2050/5809] Time 0.133 (0.483) Data 0.001 (0.411) Loss 2.7570 (2.8338) Prec@1 39.062 (32.410) Prec@5 64.453 (62.481) Epoch: [6][2060/5809] Time 0.134 (0.483) Data 0.001 (0.411) Loss 2.6962 (2.8336) Prec@1 34.375 (32.413) Prec@5 66.016 (62.488) Epoch: [6][2070/5809] Time 0.134 (0.483) Data 0.001 (0.411) Loss 2.6393 (2.8333) Prec@1 33.984 (32.419) Prec@5 66.406 (62.496) Epoch: [6][2080/5809] Time 0.314 (0.483) Data 0.254 (0.411) Loss 2.8696 (2.8333) Prec@1 32.812 (32.416) Prec@5 63.281 (62.493) Epoch: [6][2090/5809] Time 0.132 (0.483) Data 0.044 (0.411) Loss 2.7838 (2.8337) Prec@1 34.766 (32.414) Prec@5 64.062 (62.486) Epoch: [6][2100/5809] Time 0.559 (0.483) Data 0.496 (0.410) Loss 2.5693 (2.8333) Prec@1 37.109 (32.418) Prec@5 68.359 (62.494) Epoch: [6][2110/5809] Time 0.201 (0.483) Data 0.141 (0.410) Loss 2.8832 (2.8332) Prec@1 31.250 (32.418) Prec@5 60.547 (62.495) Epoch: [6][2120/5809] Time 0.646 (0.483) Data 0.587 (0.410) Loss 2.8296 (2.8335) Prec@1 33.594 (32.416) Prec@5 61.719 (62.485) Epoch: [6][2130/5809] Time 0.250 (0.483) Data 0.191 (0.410) Loss 2.7281 (2.8336) Prec@1 35.156 (32.413) Prec@5 65.625 (62.484) Epoch: [6][2140/5809] Time 0.481 (0.483) Data 0.422 (0.410) Loss 2.5949 (2.8331) Prec@1 36.719 (32.422) Prec@5 64.062 (62.493) Epoch: [6][2150/5809] Time 0.135 (0.483) Data 0.050 (0.410) Loss 2.8617 (2.8330) Prec@1 33.594 (32.417) Prec@5 56.250 (62.495) Epoch: [6][2160/5809] Time 0.865 (0.483) Data 0.806 (0.411) Loss 2.6512 (2.8330) Prec@1 36.719 (32.422) Prec@5 69.141 (62.499) Epoch: [6][2170/5809] Time 0.223 (0.483) Data 0.164 (0.410) Loss 2.6231 (2.8327) Prec@1 33.203 (32.426) Prec@5 65.625 (62.504) Epoch: [6][2180/5809] Time 1.020 (0.483) Data 0.960 (0.410) Loss 3.0455 (2.8325) Prec@1 32.031 (32.430) Prec@5 58.203 (62.509) Epoch: [6][2190/5809] Time 0.133 (0.483) Data 0.046 (0.410) Loss 2.7321 (2.8320) Prec@1 32.031 (32.437) Prec@5 64.062 (62.520) Epoch: [6][2200/5809] Time 1.430 (0.483) Data 1.371 (0.410) Loss 2.6169 (2.8319) Prec@1 36.719 (32.440) Prec@5 67.969 (62.525) Epoch: [6][2210/5809] Time 0.138 (0.482) Data 0.001 (0.410) Loss 3.0529 (2.8322) Prec@1 32.031 (32.437) Prec@5 57.031 (62.518) Epoch: [6][2220/5809] Time 1.399 (0.483) Data 1.327 (0.410) Loss 3.0299 (2.8322) Prec@1 32.031 (32.436) Prec@5 58.203 (62.515) Epoch: [6][2230/5809] Time 0.133 (0.482) Data 0.001 (0.409) Loss 2.8690 (2.8323) Prec@1 34.375 (32.435) Prec@5 60.547 (62.510) Epoch: [6][2240/5809] Time 1.533 (0.482) Data 1.472 (0.409) Loss 2.6495 (2.8322) Prec@1 34.375 (32.442) Prec@5 67.969 (62.512) Epoch: [6][2250/5809] Time 0.407 (0.482) Data 0.348 (0.409) Loss 2.9542 (2.8321) Prec@1 35.938 (32.445) Prec@5 58.984 (62.511) Epoch: [6][2260/5809] Time 1.088 (0.482) Data 1.027 (0.409) Loss 2.5508 (2.8320) Prec@1 36.328 (32.448) Prec@5 68.750 (62.512) Epoch: [6][2270/5809] Time 0.135 (0.482) Data 0.001 (0.409) Loss 3.0780 (2.8323) Prec@1 31.250 (32.442) Prec@5 55.859 (62.512) Epoch: [6][2280/5809] Time 1.184 (0.482) Data 1.121 (0.409) Loss 2.5753 (2.8321) Prec@1 36.328 (32.447) Prec@5 66.016 (62.506) Epoch: [6][2290/5809] Time 0.134 (0.482) Data 0.001 (0.409) Loss 2.9447 (2.8323) Prec@1 29.297 (32.441) Prec@5 58.203 (62.499) Epoch: [6][2300/5809] Time 1.352 (0.482) Data 1.285 (0.409) Loss 2.9509 (2.8324) Prec@1 30.469 (32.440) Prec@5 60.938 (62.501) Epoch: [6][2310/5809] Time 0.128 (0.482) Data 0.044 (0.409) Loss 2.5513 (2.8322) Prec@1 37.891 (32.443) Prec@5 69.141 (62.503) Epoch: [6][2320/5809] Time 0.843 (0.482) Data 0.776 (0.409) Loss 2.5757 (2.8318) Prec@1 33.984 (32.451) Prec@5 66.016 (62.512) Epoch: [6][2330/5809] Time 0.133 (0.482) Data 0.046 (0.408) Loss 2.9778 (2.8324) Prec@1 33.203 (32.441) Prec@5 57.812 (62.497) Epoch: [6][2340/5809] Time 1.052 (0.482) Data 0.993 (0.409) Loss 2.8092 (2.8324) Prec@1 31.250 (32.444) Prec@5 59.766 (62.499) Epoch: [6][2350/5809] Time 0.410 (0.482) Data 0.350 (0.408) Loss 2.8111 (2.8325) Prec@1 35.938 (32.445) Prec@5 58.984 (62.494) Epoch: [6][2360/5809] Time 1.006 (0.482) Data 0.947 (0.409) Loss 2.8178 (2.8323) Prec@1 34.375 (32.450) Prec@5 61.328 (62.491) Epoch: [6][2370/5809] Time 0.208 (0.481) Data 0.149 (0.408) Loss 2.8263 (2.8324) Prec@1 29.297 (32.452) Prec@5 65.234 (62.489) Epoch: [6][2380/5809] Time 1.090 (0.481) Data 1.025 (0.408) Loss 2.9690 (2.8321) Prec@1 32.031 (32.457) Prec@5 59.375 (62.491) Epoch: [6][2390/5809] Time 0.137 (0.481) Data 0.001 (0.408) Loss 2.8182 (2.8321) Prec@1 37.891 (32.457) Prec@5 59.766 (62.489) Epoch: [6][2400/5809] Time 1.385 (0.481) Data 1.325 (0.408) Loss 2.8544 (2.8322) Prec@1 32.812 (32.459) Prec@5 60.547 (62.490) Epoch: [6][2410/5809] Time 0.206 (0.481) Data 0.147 (0.408) Loss 2.8140 (2.8323) Prec@1 33.203 (32.454) Prec@5 61.328 (62.490) Epoch: [6][2420/5809] Time 1.222 (0.481) Data 1.158 (0.408) Loss 2.9272 (2.8320) Prec@1 30.078 (32.453) Prec@5 62.891 (62.494) Epoch: [6][2430/5809] Time 0.147 (0.481) Data 0.088 (0.408) Loss 2.7255 (2.8320) Prec@1 36.328 (32.455) Prec@5 62.500 (62.494) Epoch: [6][2440/5809] Time 0.972 (0.481) Data 0.913 (0.408) Loss 2.5754 (2.8318) Prec@1 35.938 (32.455) Prec@5 66.406 (62.498) Epoch: [6][2450/5809] Time 0.154 (0.481) Data 0.094 (0.408) Loss 2.8457 (2.8315) Prec@1 29.297 (32.457) Prec@5 60.938 (62.502) Epoch: [6][2460/5809] Time 0.822 (0.481) Data 0.764 (0.408) Loss 2.7022 (2.8311) Prec@1 35.547 (32.468) Prec@5 68.750 (62.508) Epoch: [6][2470/5809] Time 0.277 (0.481) Data 0.218 (0.407) Loss 2.9652 (2.8314) Prec@1 31.250 (32.458) Prec@5 62.500 (62.504) Epoch: [6][2480/5809] Time 0.945 (0.481) Data 0.887 (0.408) Loss 2.8350 (2.8312) Prec@1 33.203 (32.460) Prec@5 61.719 (62.504) Epoch: [6][2490/5809] Time 0.587 (0.481) Data 0.529 (0.408) Loss 2.8394 (2.8313) Prec@1 32.812 (32.458) Prec@5 65.625 (62.504) Epoch: [6][2500/5809] Time 0.157 (0.481) Data 0.098 (0.408) Loss 3.1146 (2.8315) Prec@1 27.344 (32.454) Prec@5 57.812 (62.508) Epoch: [6][2510/5809] Time 0.871 (0.481) Data 0.812 (0.408) Loss 2.5277 (2.8313) Prec@1 38.672 (32.457) Prec@5 69.141 (62.509) Epoch: [6][2520/5809] Time 0.133 (0.481) Data 0.001 (0.408) Loss 2.7998 (2.8312) Prec@1 31.250 (32.457) Prec@5 62.500 (62.511) Epoch: [6][2530/5809] Time 0.835 (0.481) Data 0.777 (0.408) Loss 2.8088 (2.8310) Prec@1 32.031 (32.464) Prec@5 61.719 (62.519) Epoch: [6][2540/5809] Time 0.167 (0.481) Data 0.107 (0.408) Loss 2.8434 (2.8309) Prec@1 32.422 (32.465) Prec@5 64.062 (62.522) Epoch: [6][2550/5809] Time 0.587 (0.481) Data 0.524 (0.408) Loss 2.9533 (2.8310) Prec@1 28.125 (32.464) Prec@5 62.891 (62.522) Epoch: [6][2560/5809] Time 0.126 (0.481) Data 0.048 (0.408) Loss 2.9609 (2.8311) Prec@1 26.953 (32.463) Prec@5 61.719 (62.523) Epoch: [6][2570/5809] Time 0.734 (0.481) Data 0.675 (0.408) Loss 2.8043 (2.8311) Prec@1 35.938 (32.463) Prec@5 64.844 (62.527) Epoch: [6][2580/5809] Time 0.161 (0.481) Data 0.102 (0.408) Loss 2.9513 (2.8313) Prec@1 29.688 (32.457) Prec@5 60.156 (62.525) Epoch: [6][2590/5809] Time 0.247 (0.481) Data 0.183 (0.408) Loss 2.8117 (2.8313) Prec@1 32.812 (32.455) Prec@5 64.062 (62.525) Epoch: [6][2600/5809] Time 0.176 (0.481) Data 0.109 (0.408) Loss 2.8872 (2.8313) Prec@1 31.250 (32.457) Prec@5 58.594 (62.524) Epoch: [6][2610/5809] Time 0.135 (0.482) Data 0.001 (0.408) Loss 2.8487 (2.8313) Prec@1 32.422 (32.459) Prec@5 64.062 (62.523) Epoch: [6][2620/5809] Time 0.506 (0.481) Data 0.445 (0.408) Loss 2.8336 (2.8312) Prec@1 31.641 (32.457) Prec@5 63.281 (62.524) Epoch: [6][2630/5809] Time 0.492 (0.482) Data 0.429 (0.408) Loss 2.7705 (2.8311) Prec@1 32.031 (32.458) Prec@5 64.453 (62.523) Epoch: [6][2640/5809] Time 0.130 (0.481) Data 0.048 (0.408) Loss 2.8215 (2.8312) Prec@1 38.281 (32.459) Prec@5 60.547 (62.518) Epoch: [6][2650/5809] Time 0.647 (0.482) Data 0.588 (0.408) Loss 3.0288 (2.8313) Prec@1 28.516 (32.451) Prec@5 57.031 (62.513) Epoch: [6][2660/5809] Time 0.134 (0.481) Data 0.070 (0.408) Loss 2.7724 (2.8311) Prec@1 34.766 (32.459) Prec@5 65.234 (62.518) Epoch: [6][2670/5809] Time 0.318 (0.481) Data 0.253 (0.408) Loss 2.7487 (2.8310) Prec@1 30.078 (32.459) Prec@5 64.453 (62.519) Epoch: [6][2680/5809] Time 0.221 (0.481) Data 0.161 (0.408) Loss 2.9322 (2.8310) Prec@1 30.859 (32.462) Prec@5 59.766 (62.516) Epoch: [6][2690/5809] Time 0.825 (0.482) Data 0.760 (0.408) Loss 2.9711 (2.8311) Prec@1 28.516 (32.456) Prec@5 58.203 (62.510) Epoch: [6][2700/5809] Time 0.135 (0.481) Data 0.001 (0.408) Loss 2.8507 (2.8315) Prec@1 32.031 (32.450) Prec@5 62.891 (62.504) Epoch: [6][2710/5809] Time 0.410 (0.482) Data 0.350 (0.408) Loss 2.8919 (2.8314) Prec@1 34.766 (32.452) Prec@5 64.453 (62.505) Epoch: [6][2720/5809] Time 0.647 (0.482) Data 0.583 (0.408) Loss 2.8642 (2.8314) Prec@1 32.031 (32.451) Prec@5 58.984 (62.499) Epoch: [6][2730/5809] Time 0.629 (0.482) Data 0.570 (0.408) Loss 3.1819 (2.8318) Prec@1 27.734 (32.442) Prec@5 57.422 (62.495) Epoch: [6][2740/5809] Time 0.571 (0.482) Data 0.512 (0.408) Loss 3.0418 (2.8319) Prec@1 28.906 (32.441) Prec@5 58.984 (62.495) Epoch: [6][2750/5809] Time 0.636 (0.482) Data 0.577 (0.408) Loss 2.5724 (2.8319) Prec@1 37.891 (32.440) Prec@5 67.969 (62.497) Epoch: [6][2760/5809] Time 0.282 (0.482) Data 0.223 (0.408) Loss 2.7910 (2.8318) Prec@1 34.766 (32.442) Prec@5 61.719 (62.497) Epoch: [6][2770/5809] Time 0.340 (0.481) Data 0.282 (0.408) Loss 2.8718 (2.8320) Prec@1 30.078 (32.439) Prec@5 60.156 (62.492) Epoch: [6][2780/5809] Time 0.133 (0.482) Data 0.001 (0.408) Loss 2.6139 (2.8321) Prec@1 37.109 (32.435) Prec@5 68.750 (62.490) Epoch: [6][2790/5809] Time 0.141 (0.482) Data 0.080 (0.408) Loss 2.8904 (2.8320) Prec@1 32.812 (32.439) Prec@5 63.281 (62.492) Epoch: [6][2800/5809] Time 0.699 (0.482) Data 0.636 (0.409) Loss 2.8601 (2.8319) Prec@1 28.906 (32.441) Prec@5 64.062 (62.496) Epoch: [6][2810/5809] Time 0.574 (0.482) Data 0.511 (0.409) Loss 2.7047 (2.8317) Prec@1 36.719 (32.448) Prec@5 67.969 (62.500) Epoch: [6][2820/5809] Time 0.473 (0.482) Data 0.413 (0.409) Loss 2.7058 (2.8319) Prec@1 33.984 (32.443) Prec@5 67.969 (62.497) Epoch: [6][2830/5809] Time 0.133 (0.482) Data 0.001 (0.408) Loss 2.6829 (2.8319) Prec@1 33.594 (32.441) Prec@5 65.234 (62.496) Epoch: [6][2840/5809] Time 0.322 (0.482) Data 0.256 (0.409) Loss 2.8112 (2.8321) Prec@1 32.422 (32.441) Prec@5 60.938 (62.491) Epoch: [6][2850/5809] Time 0.134 (0.481) Data 0.001 (0.408) Loss 2.7486 (2.8321) Prec@1 33.594 (32.447) Prec@5 65.234 (62.490) Epoch: [6][2860/5809] Time 0.133 (0.482) Data 0.001 (0.408) Loss 2.8847 (2.8322) Prec@1 29.688 (32.448) Prec@5 62.891 (62.486) Epoch: [6][2870/5809] Time 0.168 (0.482) Data 0.105 (0.408) Loss 2.8358 (2.8322) Prec@1 30.469 (32.452) Prec@5 60.938 (62.486) Epoch: [6][2880/5809] Time 0.132 (0.482) Data 0.001 (0.409) Loss 2.6694 (2.8322) Prec@1 31.250 (32.450) Prec@5 67.188 (62.486) Epoch: [6][2890/5809] Time 0.455 (0.482) Data 0.395 (0.409) Loss 2.6553 (2.8320) Prec@1 37.500 (32.453) Prec@5 67.969 (62.492) Epoch: [6][2900/5809] Time 0.564 (0.482) Data 0.505 (0.409) Loss 2.7513 (2.8320) Prec@1 36.719 (32.455) Prec@5 66.797 (62.494) Epoch: [6][2910/5809] Time 0.134 (0.482) Data 0.043 (0.409) Loss 2.8758 (2.8320) Prec@1 34.375 (32.459) Prec@5 62.500 (62.489) Epoch: [6][2920/5809] Time 0.729 (0.482) Data 0.670 (0.409) Loss 2.6719 (2.8318) Prec@1 33.984 (32.464) Prec@5 64.062 (62.494) Epoch: [6][2930/5809] Time 0.135 (0.482) Data 0.048 (0.409) Loss 2.9570 (2.8318) Prec@1 28.516 (32.465) Prec@5 61.719 (62.494) Epoch: [6][2940/5809] Time 0.485 (0.482) Data 0.419 (0.409) Loss 2.5419 (2.8316) Prec@1 35.938 (32.467) Prec@5 71.484 (62.499) Epoch: [6][2950/5809] Time 0.133 (0.482) Data 0.049 (0.409) Loss 2.9034 (2.8316) Prec@1 30.859 (32.468) Prec@5 62.500 (62.500) Epoch: [6][2960/5809] Time 0.141 (0.482) Data 0.001 (0.409) Loss 2.7283 (2.8317) Prec@1 35.547 (32.468) Prec@5 62.109 (62.495) Epoch: [6][2970/5809] Time 0.133 (0.482) Data 0.001 (0.409) Loss 2.7019 (2.8315) Prec@1 34.766 (32.473) Prec@5 67.578 (62.501) Epoch: [6][2980/5809] Time 0.642 (0.482) Data 0.583 (0.409) Loss 3.0729 (2.8314) Prec@1 33.594 (32.478) Prec@5 56.641 (62.501) Epoch: [6][2990/5809] Time 0.333 (0.482) Data 0.273 (0.408) Loss 2.7191 (2.8313) Prec@1 34.375 (32.483) Prec@5 64.062 (62.503) Epoch: [6][3000/5809] Time 0.670 (0.482) Data 0.603 (0.409) Loss 2.8998 (2.8312) Prec@1 30.859 (32.483) Prec@5 59.375 (62.502) Epoch: [6][3010/5809] Time 0.443 (0.482) Data 0.383 (0.408) Loss 2.4997 (2.8310) Prec@1 41.016 (32.489) Prec@5 71.094 (62.506) Epoch: [6][3020/5809] Time 0.148 (0.482) Data 0.089 (0.409) Loss 2.8231 (2.8309) Prec@1 32.422 (32.492) Prec@5 64.844 (62.510) Epoch: [6][3030/5809] Time 0.133 (0.482) Data 0.048 (0.408) Loss 2.6051 (2.8308) Prec@1 35.547 (32.492) Prec@5 66.406 (62.510) Epoch: [6][3040/5809] Time 0.132 (0.482) Data 0.001 (0.409) Loss 2.7962 (2.8306) Prec@1 33.203 (32.499) Prec@5 64.062 (62.517) Epoch: [6][3050/5809] Time 0.132 (0.482) Data 0.045 (0.409) Loss 2.7981 (2.8304) Prec@1 34.766 (32.505) Prec@5 64.453 (62.521) Epoch: [6][3060/5809] Time 0.203 (0.482) Data 0.144 (0.409) Loss 2.7641 (2.8303) Prec@1 33.594 (32.506) Prec@5 63.281 (62.524) Epoch: [6][3070/5809] Time 0.248 (0.482) Data 0.187 (0.408) Loss 3.0405 (2.8303) Prec@1 30.469 (32.506) Prec@5 58.203 (62.524) Epoch: [6][3080/5809] Time 0.313 (0.482) Data 0.254 (0.409) Loss 2.7918 (2.8306) Prec@1 33.594 (32.503) Prec@5 65.625 (62.520) Epoch: [6][3090/5809] Time 0.134 (0.482) Data 0.044 (0.408) Loss 2.6447 (2.8305) Prec@1 38.281 (32.504) Prec@5 66.406 (62.520) Epoch: [6][3100/5809] Time 0.134 (0.482) Data 0.047 (0.409) Loss 2.8189 (2.8305) Prec@1 35.938 (32.508) Prec@5 62.500 (62.522) Epoch: [6][3110/5809] Time 0.459 (0.482) Data 0.400 (0.409) Loss 2.9374 (2.8305) Prec@1 32.031 (32.507) Prec@5 61.719 (62.523) Epoch: [6][3120/5809] Time 0.153 (0.482) Data 0.093 (0.409) Loss 2.6158 (2.8306) Prec@1 40.234 (32.512) Prec@5 68.359 (62.521) Epoch: [6][3130/5809] Time 0.377 (0.482) Data 0.314 (0.409) Loss 2.6792 (2.8308) Prec@1 32.031 (32.506) Prec@5 63.672 (62.512) Epoch: [6][3140/5809] Time 0.134 (0.482) Data 0.001 (0.409) Loss 2.5800 (2.8307) Prec@1 34.375 (32.505) Prec@5 70.312 (62.518) Epoch: [6][3150/5809] Time 0.131 (0.482) Data 0.051 (0.409) Loss 2.8416 (2.8306) Prec@1 31.641 (32.506) Prec@5 60.547 (62.517) Epoch: [6][3160/5809] Time 0.199 (0.482) Data 0.139 (0.409) Loss 2.7428 (2.8305) Prec@1 29.688 (32.507) Prec@5 67.578 (62.517) Epoch: [6][3170/5809] Time 0.386 (0.482) Data 0.327 (0.409) Loss 2.9749 (2.8306) Prec@1 29.688 (32.504) Prec@5 60.938 (62.514) Epoch: [6][3180/5809] Time 0.133 (0.482) Data 0.001 (0.409) Loss 2.9619 (2.8307) Prec@1 31.250 (32.506) Prec@5 59.375 (62.512) Epoch: [6][3190/5809] Time 0.552 (0.482) Data 0.493 (0.409) Loss 2.8156 (2.8305) Prec@1 33.984 (32.513) Prec@5 57.031 (62.515) Epoch: [6][3200/5809] Time 0.134 (0.482) Data 0.001 (0.409) Loss 2.7447 (2.8303) Prec@1 38.672 (32.516) Prec@5 62.891 (62.516) Epoch: [6][3210/5809] Time 0.346 (0.482) Data 0.282 (0.409) Loss 3.0338 (2.8305) Prec@1 29.688 (32.511) Prec@5 56.641 (62.510) Epoch: [6][3220/5809] Time 0.409 (0.482) Data 0.347 (0.409) Loss 2.9678 (2.8304) Prec@1 31.641 (32.511) Prec@5 58.984 (62.511) Epoch: [6][3230/5809] Time 0.222 (0.483) Data 0.164 (0.409) Loss 2.9191 (2.8302) Prec@1 28.125 (32.515) Prec@5 62.109 (62.515) Epoch: [6][3240/5809] Time 0.477 (0.482) Data 0.418 (0.409) Loss 3.0902 (2.8302) Prec@1 28.125 (32.515) Prec@5 54.297 (62.514) Epoch: [6][3250/5809] Time 0.138 (0.483) Data 0.001 (0.409) Loss 2.8109 (2.8303) Prec@1 29.297 (32.510) Prec@5 62.500 (62.514) Epoch: [6][3260/5809] Time 0.374 (0.482) Data 0.315 (0.409) Loss 2.7556 (2.8302) Prec@1 35.156 (32.514) Prec@5 64.453 (62.518) Epoch: [6][3270/5809] Time 0.343 (0.483) Data 0.274 (0.409) Loss 2.9865 (2.8303) Prec@1 29.688 (32.517) Prec@5 59.375 (62.513) Epoch: [6][3280/5809] Time 0.496 (0.482) Data 0.436 (0.409) Loss 2.7906 (2.8303) Prec@1 33.984 (32.520) Prec@5 64.453 (62.511) Epoch: [6][3290/5809] Time 0.180 (0.482) Data 0.116 (0.409) Loss 2.6746 (2.8304) Prec@1 32.812 (32.518) Prec@5 66.406 (62.509) Epoch: [6][3300/5809] Time 0.210 (0.483) Data 0.151 (0.409) Loss 2.7658 (2.8302) Prec@1 32.422 (32.521) Prec@5 66.797 (62.512) Epoch: [6][3310/5809] Time 0.528 (0.483) Data 0.469 (0.409) Loss 2.7355 (2.8302) Prec@1 38.281 (32.521) Prec@5 67.188 (62.512) Epoch: [6][3320/5809] Time 0.706 (0.483) Data 0.646 (0.409) Loss 2.9558 (2.8302) Prec@1 30.469 (32.524) Prec@5 59.375 (62.511) Epoch: [6][3330/5809] Time 0.518 (0.483) Data 0.459 (0.409) Loss 2.7566 (2.8300) Prec@1 30.469 (32.525) Prec@5 66.406 (62.516) Epoch: [6][3340/5809] Time 0.900 (0.483) Data 0.832 (0.409) Loss 2.7078 (2.8300) Prec@1 36.719 (32.528) Prec@5 67.188 (62.518) Epoch: [6][3350/5809] Time 0.539 (0.483) Data 0.475 (0.409) Loss 2.8788 (2.8298) Prec@1 30.859 (32.532) Prec@5 62.109 (62.522) Epoch: [6][3360/5809] Time 0.432 (0.483) Data 0.371 (0.409) Loss 2.9633 (2.8298) Prec@1 30.859 (32.532) Prec@5 60.156 (62.524) Epoch: [6][3370/5809] Time 0.887 (0.483) Data 0.827 (0.409) Loss 2.8772 (2.8298) Prec@1 31.250 (32.530) Prec@5 60.547 (62.525) Epoch: [6][3380/5809] Time 0.133 (0.483) Data 0.001 (0.410) Loss 2.7601 (2.8296) Prec@1 35.156 (32.531) Prec@5 63.281 (62.532) Epoch: [6][3390/5809] Time 0.588 (0.483) Data 0.529 (0.410) Loss 2.8228 (2.8296) Prec@1 33.984 (32.531) Prec@5 63.672 (62.532) Epoch: [6][3400/5809] Time 0.133 (0.483) Data 0.001 (0.410) Loss 2.6526 (2.8296) Prec@1 32.422 (32.527) Prec@5 67.188 (62.532) Epoch: [6][3410/5809] Time 0.425 (0.483) Data 0.366 (0.410) Loss 2.7984 (2.8295) Prec@1 33.594 (32.528) Prec@5 62.500 (62.533) Epoch: [6][3420/5809] Time 0.198 (0.483) Data 0.135 (0.410) Loss 2.7059 (2.8293) Prec@1 34.375 (32.533) Prec@5 63.672 (62.540) Epoch: [6][3430/5809] Time 0.132 (0.483) Data 0.001 (0.410) Loss 2.4881 (2.8292) Prec@1 40.625 (32.534) Prec@5 68.750 (62.543) Epoch: [6][3440/5809] Time 0.153 (0.483) Data 0.089 (0.410) Loss 3.1020 (2.8293) Prec@1 30.078 (32.534) Prec@5 58.984 (62.541) Epoch: [6][3450/5809] Time 0.382 (0.483) Data 0.322 (0.410) Loss 2.8568 (2.8292) Prec@1 33.984 (32.538) Prec@5 62.109 (62.541) Epoch: [6][3460/5809] Time 0.132 (0.483) Data 0.001 (0.410) Loss 2.8764 (2.8291) Prec@1 31.641 (32.541) Prec@5 60.938 (62.543) Epoch: [6][3470/5809] Time 0.518 (0.483) Data 0.459 (0.410) Loss 2.7235 (2.8291) Prec@1 32.812 (32.546) Prec@5 66.797 (62.545) Epoch: [6][3480/5809] Time 0.133 (0.483) Data 0.052 (0.410) Loss 2.8272 (2.8292) Prec@1 33.203 (32.547) Prec@5 60.156 (62.541) Epoch: [6][3490/5809] Time 1.173 (0.483) Data 1.113 (0.410) Loss 2.9463 (2.8291) Prec@1 28.906 (32.548) Prec@5 59.766 (62.541) Epoch: [6][3500/5809] Time 0.173 (0.483) Data 0.111 (0.410) Loss 2.6741 (2.8291) Prec@1 36.719 (32.552) Prec@5 62.500 (62.540) Epoch: [6][3510/5809] Time 0.936 (0.483) Data 0.872 (0.410) Loss 2.9608 (2.8291) Prec@1 33.594 (32.555) Prec@5 62.891 (62.540) Epoch: [6][3520/5809] Time 0.420 (0.483) Data 0.353 (0.410) Loss 2.8309 (2.8293) Prec@1 32.031 (32.556) Prec@5 58.984 (62.535) Epoch: [6][3530/5809] Time 0.651 (0.483) Data 0.591 (0.410) Loss 2.9059 (2.8295) Prec@1 34.766 (32.550) Prec@5 62.109 (62.529) Epoch: [6][3540/5809] Time 0.503 (0.483) Data 0.444 (0.410) Loss 2.7717 (2.8296) Prec@1 37.109 (32.551) Prec@5 65.234 (62.531) Epoch: [6][3550/5809] Time 0.880 (0.483) Data 0.818 (0.410) Loss 2.7220 (2.8297) Prec@1 34.375 (32.550) Prec@5 64.062 (62.529) Epoch: [6][3560/5809] Time 0.649 (0.483) Data 0.590 (0.410) Loss 2.9525 (2.8300) Prec@1 27.734 (32.544) Prec@5 58.203 (62.521) Epoch: [6][3570/5809] Time 0.361 (0.483) Data 0.301 (0.410) Loss 2.9712 (2.8299) Prec@1 30.859 (32.547) Prec@5 59.375 (62.520) Epoch: [6][3580/5809] Time 0.420 (0.483) Data 0.361 (0.410) Loss 2.6892 (2.8298) Prec@1 34.375 (32.548) Prec@5 64.844 (62.522) Epoch: [6][3590/5809] Time 0.796 (0.483) Data 0.733 (0.410) Loss 2.9729 (2.8298) Prec@1 32.812 (32.548) Prec@5 59.766 (62.520) Epoch: [6][3600/5809] Time 0.134 (0.483) Data 0.001 (0.410) Loss 2.8935 (2.8298) Prec@1 32.031 (32.549) Prec@5 61.719 (62.519) Epoch: [6][3610/5809] Time 0.476 (0.483) Data 0.411 (0.410) Loss 2.7844 (2.8298) Prec@1 33.594 (32.548) Prec@5 66.797 (62.519) Epoch: [6][3620/5809] Time 0.134 (0.483) Data 0.001 (0.410) Loss 2.7292 (2.8297) Prec@1 31.250 (32.547) Prec@5 63.672 (62.517) Epoch: [6][3630/5809] Time 1.043 (0.483) Data 0.984 (0.410) Loss 2.6179 (2.8297) Prec@1 37.891 (32.550) Prec@5 67.969 (62.523) Epoch: [6][3640/5809] Time 0.131 (0.483) Data 0.049 (0.410) Loss 2.7805 (2.8295) Prec@1 35.156 (32.556) Prec@5 62.500 (62.527) Epoch: [6][3650/5809] Time 0.867 (0.484) Data 0.806 (0.410) Loss 2.7870 (2.8295) Prec@1 30.469 (32.552) Prec@5 60.938 (62.527) Epoch: [6][3660/5809] Time 0.135 (0.483) Data 0.001 (0.410) Loss 2.8110 (2.8295) Prec@1 34.766 (32.554) Prec@5 61.719 (62.526) Epoch: [6][3670/5809] Time 0.565 (0.484) Data 0.496 (0.410) Loss 2.8574 (2.8297) Prec@1 25.391 (32.551) Prec@5 64.062 (62.525) Epoch: [6][3680/5809] Time 0.133 (0.484) Data 0.001 (0.410) Loss 2.9129 (2.8297) Prec@1 31.250 (32.551) Prec@5 58.984 (62.525) Epoch: [6][3690/5809] Time 0.132 (0.484) Data 0.001 (0.410) Loss 2.9775 (2.8297) Prec@1 33.203 (32.551) Prec@5 64.844 (62.527) Epoch: [6][3700/5809] Time 0.131 (0.484) Data 0.057 (0.410) Loss 2.9152 (2.8298) Prec@1 32.031 (32.547) Prec@5 57.812 (62.528) Epoch: [6][3710/5809] Time 0.298 (0.484) Data 0.235 (0.410) Loss 2.8043 (2.8297) Prec@1 33.594 (32.550) Prec@5 62.109 (62.532) Epoch: [6][3720/5809] Time 0.173 (0.484) Data 0.113 (0.410) Loss 2.9440 (2.8298) Prec@1 34.375 (32.550) Prec@5 61.719 (62.530) Epoch: [6][3730/5809] Time 0.133 (0.484) Data 0.001 (0.410) Loss 2.9740 (2.8298) Prec@1 30.859 (32.547) Prec@5 55.469 (62.530) Epoch: [6][3740/5809] Time 0.543 (0.484) Data 0.483 (0.411) Loss 2.8234 (2.8298) Prec@1 36.328 (32.549) Prec@5 60.547 (62.534) Epoch: [6][3750/5809] Time 0.291 (0.484) Data 0.231 (0.411) Loss 2.8431 (2.8301) Prec@1 33.203 (32.546) Prec@5 64.062 (62.529) Epoch: [6][3760/5809] Time 0.626 (0.484) Data 0.567 (0.411) Loss 2.7625 (2.8301) Prec@1 35.938 (32.545) Prec@5 65.234 (62.529) Epoch: [6][3770/5809] Time 0.348 (0.484) Data 0.285 (0.411) Loss 2.7940 (2.8300) Prec@1 33.984 (32.549) Prec@5 65.234 (62.532) Epoch: [6][3780/5809] Time 0.675 (0.484) Data 0.617 (0.411) Loss 2.8643 (2.8302) Prec@1 34.375 (32.543) Prec@5 60.156 (62.526) Epoch: [6][3790/5809] Time 0.505 (0.484) Data 0.445 (0.411) Loss 2.9745 (2.8302) Prec@1 31.641 (32.545) Prec@5 58.984 (62.525) Epoch: [6][3800/5809] Time 0.985 (0.484) Data 0.926 (0.411) Loss 2.6921 (2.8303) Prec@1 30.469 (32.542) Prec@5 65.625 (62.521) Epoch: [6][3810/5809] Time 0.133 (0.484) Data 0.001 (0.411) Loss 2.8496 (2.8303) Prec@1 34.766 (32.543) Prec@5 62.109 (62.523) Epoch: [6][3820/5809] Time 1.044 (0.484) Data 0.985 (0.411) Loss 2.8856 (2.8303) Prec@1 33.594 (32.546) Prec@5 62.109 (62.520) Epoch: [6][3830/5809] Time 0.134 (0.484) Data 0.001 (0.411) Loss 2.7382 (2.8303) Prec@1 36.328 (32.548) Prec@5 67.188 (62.521) Epoch: [6][3840/5809] Time 1.236 (0.484) Data 1.168 (0.411) Loss 2.7927 (2.8304) Prec@1 32.031 (32.549) Prec@5 64.062 (62.518) Epoch: [6][3850/5809] Time 0.139 (0.484) Data 0.001 (0.411) Loss 2.9956 (2.8305) Prec@1 29.688 (32.548) Prec@5 60.156 (62.517) Epoch: [6][3860/5809] Time 1.256 (0.484) Data 1.194 (0.411) Loss 2.8337 (2.8306) Prec@1 36.328 (32.549) Prec@5 63.281 (62.515) Epoch: [6][3870/5809] Time 0.132 (0.484) Data 0.001 (0.410) Loss 2.6856 (2.8306) Prec@1 34.766 (32.549) Prec@5 66.016 (62.515) Epoch: [6][3880/5809] Time 1.139 (0.484) Data 1.080 (0.410) Loss 2.9164 (2.8307) Prec@1 30.469 (32.545) Prec@5 59.375 (62.510) Epoch: [6][3890/5809] Time 0.134 (0.484) Data 0.046 (0.410) Loss 2.6881 (2.8307) Prec@1 33.984 (32.543) Prec@5 64.844 (62.508) Epoch: [6][3900/5809] Time 0.736 (0.483) Data 0.677 (0.410) Loss 2.8348 (2.8305) Prec@1 33.203 (32.543) Prec@5 59.766 (62.511) Epoch: [6][3910/5809] Time 0.139 (0.483) Data 0.001 (0.410) Loss 2.7627 (2.8304) Prec@1 37.109 (32.546) Prec@5 62.500 (62.513) Epoch: [6][3920/5809] Time 0.752 (0.483) Data 0.692 (0.410) Loss 2.9266 (2.8305) Prec@1 32.812 (32.548) Prec@5 62.109 (62.515) Epoch: [6][3930/5809] Time 0.203 (0.483) Data 0.143 (0.410) Loss 2.8082 (2.8305) Prec@1 35.547 (32.551) Prec@5 61.328 (62.516) Epoch: [6][3940/5809] Time 0.938 (0.483) Data 0.879 (0.410) Loss 2.6720 (2.8304) Prec@1 31.250 (32.553) Prec@5 66.797 (62.516) Epoch: [6][3950/5809] Time 0.307 (0.483) Data 0.247 (0.409) Loss 2.9562 (2.8306) Prec@1 29.688 (32.548) Prec@5 64.062 (62.514) Epoch: [6][3960/5809] Time 1.191 (0.483) Data 1.132 (0.409) Loss 2.7855 (2.8306) Prec@1 32.422 (32.546) Prec@5 63.281 (62.514) Epoch: [6][3970/5809] Time 0.222 (0.483) Data 0.163 (0.409) Loss 2.8068 (2.8306) Prec@1 32.422 (32.545) Prec@5 61.328 (62.514) Epoch: [6][3980/5809] Time 1.345 (0.483) Data 1.286 (0.409) Loss 2.7316 (2.8306) Prec@1 28.516 (32.544) Prec@5 64.062 (62.515) Epoch: [6][3990/5809] Time 0.134 (0.483) Data 0.001 (0.409) Loss 2.9409 (2.8305) Prec@1 27.344 (32.545) Prec@5 58.984 (62.516) Epoch: [6][4000/5809] Time 1.447 (0.483) Data 1.387 (0.409) Loss 2.8635 (2.8303) Prec@1 31.641 (32.546) Prec@5 61.719 (62.520) Epoch: [6][4010/5809] Time 0.133 (0.482) Data 0.001 (0.408) Loss 2.7717 (2.8304) Prec@1 36.328 (32.546) Prec@5 64.844 (62.520) Epoch: [6][4020/5809] Time 1.050 (0.482) Data 0.990 (0.408) Loss 2.6509 (2.8305) Prec@1 30.469 (32.545) Prec@5 65.625 (62.518) Epoch: [6][4030/5809] Time 0.189 (0.482) Data 0.125 (0.408) Loss 2.5715 (2.8304) Prec@1 36.719 (32.546) Prec@5 69.141 (62.518) Epoch: [6][4040/5809] Time 1.025 (0.482) Data 0.967 (0.408) Loss 2.8447 (2.8303) Prec@1 34.375 (32.549) Prec@5 58.984 (62.520) Epoch: [6][4050/5809] Time 0.248 (0.482) Data 0.188 (0.408) Loss 2.9554 (2.8303) Prec@1 28.125 (32.548) Prec@5 63.281 (62.522) Epoch: [6][4060/5809] Time 0.639 (0.482) Data 0.573 (0.408) Loss 2.7486 (2.8302) Prec@1 37.109 (32.550) Prec@5 64.844 (62.525) Epoch: [6][4070/5809] Time 0.310 (0.482) Data 0.251 (0.408) Loss 3.0048 (2.8303) Prec@1 31.641 (32.552) Prec@5 59.375 (62.523) Epoch: [6][4080/5809] Time 0.433 (0.482) Data 0.374 (0.408) Loss 2.7892 (2.8303) Prec@1 36.328 (32.555) Prec@5 65.625 (62.524) Epoch: [6][4090/5809] Time 0.666 (0.482) Data 0.607 (0.408) Loss 2.9481 (2.8302) Prec@1 29.688 (32.557) Prec@5 61.719 (62.524) Epoch: [6][4100/5809] Time 0.194 (0.481) Data 0.134 (0.408) Loss 2.8571 (2.8301) Prec@1 34.375 (32.559) Prec@5 61.328 (62.526) Epoch: [6][4110/5809] Time 0.634 (0.481) Data 0.576 (0.407) Loss 2.8829 (2.8301) Prec@1 32.422 (32.560) Prec@5 61.328 (62.529) Epoch: [6][4120/5809] Time 0.133 (0.481) Data 0.067 (0.407) Loss 2.7380 (2.8300) Prec@1 35.156 (32.560) Prec@5 64.453 (62.531) Epoch: [6][4130/5809] Time 0.386 (0.481) Data 0.328 (0.407) Loss 3.0741 (2.8300) Prec@1 25.391 (32.558) Prec@5 56.641 (62.532) Epoch: [6][4140/5809] Time 0.133 (0.481) Data 0.001 (0.407) Loss 2.6569 (2.8299) Prec@1 35.938 (32.559) Prec@5 69.531 (62.534) Epoch: [6][4150/5809] Time 0.544 (0.481) Data 0.485 (0.407) Loss 2.6477 (2.8298) Prec@1 34.766 (32.559) Prec@5 68.359 (62.534) Epoch: [6][4160/5809] Time 0.135 (0.481) Data 0.060 (0.407) Loss 2.8884 (2.8298) Prec@1 32.422 (32.558) Prec@5 61.328 (62.537) Epoch: [6][4170/5809] Time 0.858 (0.481) Data 0.794 (0.407) Loss 2.8037 (2.8298) Prec@1 27.734 (32.555) Prec@5 64.062 (62.535) Epoch: [6][4180/5809] Time 0.335 (0.480) Data 0.276 (0.407) Loss 2.6142 (2.8298) Prec@1 37.891 (32.556) Prec@5 69.141 (62.535) Epoch: [6][4190/5809] Time 0.737 (0.480) Data 0.678 (0.407) Loss 2.7433 (2.8296) Prec@1 37.891 (32.558) Prec@5 67.969 (62.539) Epoch: [6][4200/5809] Time 0.426 (0.480) Data 0.366 (0.406) Loss 2.6380 (2.8295) Prec@1 39.453 (32.561) Prec@5 67.578 (62.544) Epoch: [6][4210/5809] Time 1.058 (0.480) Data 0.999 (0.406) Loss 2.7173 (2.8293) Prec@1 34.766 (32.564) Prec@5 67.969 (62.548) Epoch: [6][4220/5809] Time 0.279 (0.480) Data 0.214 (0.406) Loss 2.8607 (2.8293) Prec@1 35.938 (32.563) Prec@5 60.547 (62.548) Epoch: [6][4230/5809] Time 1.007 (0.480) Data 0.942 (0.406) Loss 2.9955 (2.8294) Prec@1 29.297 (32.561) Prec@5 57.422 (62.546) Epoch: [6][4240/5809] Time 0.140 (0.480) Data 0.043 (0.406) Loss 2.8273 (2.8293) Prec@1 30.078 (32.561) Prec@5 62.109 (62.547) Epoch: [6][4250/5809] Time 1.153 (0.480) Data 1.093 (0.406) Loss 2.6935 (2.8293) Prec@1 35.547 (32.561) Prec@5 66.016 (62.549) Epoch: [6][4260/5809] Time 0.132 (0.480) Data 0.001 (0.406) Loss 2.8177 (2.8294) Prec@1 29.688 (32.558) Prec@5 63.672 (62.547) Epoch: [6][4270/5809] Time 1.459 (0.480) Data 1.388 (0.406) Loss 2.6231 (2.8294) Prec@1 35.938 (32.558) Prec@5 67.578 (62.547) Epoch: [6][4280/5809] Time 0.291 (0.479) Data 0.231 (0.406) Loss 2.8478 (2.8294) Prec@1 32.031 (32.559) Prec@5 60.938 (62.548) Epoch: [6][4290/5809] Time 1.415 (0.480) Data 1.357 (0.406) Loss 2.8039 (2.8294) Prec@1 35.547 (32.560) Prec@5 61.328 (62.547) Epoch: [6][4300/5809] Time 0.237 (0.479) Data 0.178 (0.405) Loss 2.9298 (2.8295) Prec@1 35.547 (32.559) Prec@5 59.766 (62.546) Epoch: [6][4310/5809] Time 0.829 (0.479) Data 0.762 (0.406) Loss 2.7480 (2.8295) Prec@1 33.984 (32.556) Prec@5 65.625 (62.547) Epoch: [6][4320/5809] Time 0.134 (0.479) Data 0.001 (0.405) Loss 2.9162 (2.8295) Prec@1 30.859 (32.559) Prec@5 62.500 (62.548) Epoch: [6][4330/5809] Time 1.038 (0.479) Data 0.974 (0.405) Loss 2.7373 (2.8295) Prec@1 32.031 (32.560) Prec@5 61.328 (62.546) Epoch: [6][4340/5809] Time 0.133 (0.479) Data 0.001 (0.405) Loss 2.7282 (2.8295) Prec@1 35.156 (32.561) Prec@5 62.891 (62.549) Epoch: [6][4350/5809] Time 1.263 (0.479) Data 1.196 (0.405) Loss 2.9371 (2.8296) Prec@1 31.641 (32.560) Prec@5 57.031 (62.545) Epoch: [6][4360/5809] Time 0.140 (0.479) Data 0.001 (0.405) Loss 2.7542 (2.8296) Prec@1 34.375 (32.560) Prec@5 63.281 (62.544) Epoch: [6][4370/5809] Time 1.319 (0.479) Data 1.260 (0.405) Loss 2.8185 (2.8295) Prec@1 32.031 (32.562) Prec@5 65.234 (62.544) Epoch: [6][4380/5809] Time 0.133 (0.479) Data 0.064 (0.405) Loss 2.7425 (2.8295) Prec@1 33.594 (32.562) Prec@5 62.891 (62.545) Epoch: [6][4390/5809] Time 1.732 (0.479) Data 1.667 (0.405) Loss 2.6568 (2.8295) Prec@1 33.984 (32.563) Prec@5 67.969 (62.545) Epoch: [6][4400/5809] Time 0.133 (0.479) Data 0.001 (0.405) Loss 2.7438 (2.8294) Prec@1 34.375 (32.562) Prec@5 64.062 (62.547) Epoch: [6][4410/5809] Time 1.378 (0.479) Data 1.314 (0.405) Loss 2.8656 (2.8293) Prec@1 29.688 (32.563) Prec@5 61.328 (62.551) Epoch: [6][4420/5809] Time 0.134 (0.479) Data 0.001 (0.405) Loss 2.8519 (2.8293) Prec@1 32.812 (32.561) Prec@5 62.891 (62.552) Epoch: [6][4430/5809] Time 1.711 (0.479) Data 1.651 (0.405) Loss 2.9628 (2.8293) Prec@1 34.766 (32.563) Prec@5 61.328 (62.554) Epoch: [6][4440/5809] Time 0.131 (0.479) Data 0.043 (0.404) Loss 2.7117 (2.8293) Prec@1 32.812 (32.562) Prec@5 62.500 (62.554) Epoch: [6][4450/5809] Time 1.295 (0.479) Data 1.232 (0.405) Loss 2.8809 (2.8292) Prec@1 32.422 (32.566) Prec@5 61.328 (62.556) Epoch: [6][4460/5809] Time 0.135 (0.479) Data 0.067 (0.404) Loss 2.7406 (2.8291) Prec@1 36.328 (32.567) Prec@5 66.016 (62.557) Epoch: [6][4470/5809] Time 0.956 (0.479) Data 0.896 (0.404) Loss 2.7167 (2.8290) Prec@1 31.641 (32.570) Prec@5 65.234 (62.558) Epoch: [6][4480/5809] Time 0.133 (0.479) Data 0.001 (0.404) Loss 3.0079 (2.8291) Prec@1 27.344 (32.567) Prec@5 57.812 (62.555) Epoch: [6][4490/5809] Time 0.873 (0.479) Data 0.814 (0.404) Loss 2.7870 (2.8292) Prec@1 32.031 (32.562) Prec@5 64.453 (62.554) Epoch: [6][4500/5809] Time 0.336 (0.479) Data 0.277 (0.404) Loss 2.7653 (2.8291) Prec@1 33.594 (32.562) Prec@5 64.453 (62.557) Epoch: [6][4510/5809] Time 0.294 (0.479) Data 0.227 (0.404) Loss 2.9299 (2.8291) Prec@1 30.859 (32.561) Prec@5 60.547 (62.557) Epoch: [6][4520/5809] Time 0.133 (0.479) Data 0.001 (0.404) Loss 2.7497 (2.8290) Prec@1 37.500 (32.562) Prec@5 66.797 (62.561) Epoch: [6][4530/5809] Time 0.157 (0.479) Data 0.093 (0.404) Loss 2.6800 (2.8290) Prec@1 31.250 (32.562) Prec@5 66.016 (62.561) Epoch: [6][4540/5809] Time 0.334 (0.478) Data 0.274 (0.404) Loss 2.8854 (2.8289) Prec@1 28.906 (32.563) Prec@5 60.547 (62.561) Epoch: [6][4550/5809] Time 0.424 (0.478) Data 0.357 (0.404) Loss 2.8202 (2.8288) Prec@1 32.422 (32.565) Prec@5 64.062 (62.562) Epoch: [6][4560/5809] Time 0.259 (0.478) Data 0.200 (0.404) Loss 2.8566 (2.8288) Prec@1 30.078 (32.563) Prec@5 62.109 (62.562) Epoch: [6][4570/5809] Time 0.273 (0.478) Data 0.214 (0.404) Loss 2.7649 (2.8288) Prec@1 30.859 (32.563) Prec@5 64.062 (62.563) Epoch: [6][4580/5809] Time 0.454 (0.478) Data 0.394 (0.404) Loss 2.6946 (2.8287) Prec@1 34.375 (32.563) Prec@5 62.500 (62.564) Epoch: [6][4590/5809] Time 0.321 (0.478) Data 0.262 (0.404) Loss 2.9636 (2.8288) Prec@1 30.078 (32.561) Prec@5 58.984 (62.561) Epoch: [6][4600/5809] Time 0.408 (0.478) Data 0.348 (0.404) Loss 2.8902 (2.8288) Prec@1 31.250 (32.562) Prec@5 62.500 (62.563) Epoch: [6][4610/5809] Time 0.189 (0.478) Data 0.130 (0.404) Loss 2.8839 (2.8289) Prec@1 36.328 (32.558) Prec@5 60.938 (62.562) Epoch: [6][4620/5809] Time 0.619 (0.478) Data 0.555 (0.404) Loss 2.8245 (2.8292) Prec@1 35.156 (32.557) Prec@5 64.453 (62.556) Epoch: [6][4630/5809] Time 0.133 (0.478) Data 0.061 (0.404) Loss 2.7193 (2.8292) Prec@1 36.328 (32.557) Prec@5 66.016 (62.555) Epoch: [6][4640/5809] Time 0.378 (0.478) Data 0.320 (0.404) Loss 2.8020 (2.8293) Prec@1 38.672 (32.558) Prec@5 61.719 (62.552) Epoch: [6][4650/5809] Time 0.139 (0.478) Data 0.044 (0.404) Loss 2.7097 (2.8292) Prec@1 35.156 (32.559) Prec@5 64.453 (62.552) Epoch: [6][4660/5809] Time 0.513 (0.478) Data 0.454 (0.404) Loss 2.8021 (2.8293) Prec@1 32.812 (32.558) Prec@5 61.328 (62.550) Epoch: [6][4670/5809] Time 0.133 (0.478) Data 0.001 (0.403) Loss 2.8902 (2.8293) Prec@1 32.031 (32.558) Prec@5 60.938 (62.548) Epoch: [6][4680/5809] Time 0.818 (0.478) Data 0.760 (0.403) Loss 2.8922 (2.8294) Prec@1 33.984 (32.557) Prec@5 62.500 (62.547) Epoch: [6][4690/5809] Time 0.379 (0.478) Data 0.319 (0.403) Loss 2.9766 (2.8294) Prec@1 32.422 (32.558) Prec@5 59.375 (62.547) Epoch: [6][4700/5809] Time 0.842 (0.478) Data 0.779 (0.403) Loss 2.7468 (2.8292) Prec@1 33.203 (32.560) Prec@5 62.109 (62.552) Epoch: [6][4710/5809] Time 0.310 (0.478) Data 0.250 (0.403) Loss 2.6198 (2.8291) Prec@1 36.328 (32.561) Prec@5 65.625 (62.556) Epoch: [6][4720/5809] Time 0.926 (0.478) Data 0.862 (0.403) Loss 2.7883 (2.8290) Prec@1 33.203 (32.564) Prec@5 61.328 (62.556) Epoch: [6][4730/5809] Time 0.394 (0.477) Data 0.335 (0.403) Loss 2.8992 (2.8289) Prec@1 34.375 (32.565) Prec@5 58.203 (62.557) Epoch: [6][4740/5809] Time 0.949 (0.477) Data 0.890 (0.403) Loss 2.8902 (2.8289) Prec@1 30.078 (32.565) Prec@5 62.891 (62.558) Epoch: [6][4750/5809] Time 0.458 (0.477) Data 0.394 (0.403) Loss 2.8142 (2.8289) Prec@1 33.203 (32.567) Prec@5 61.328 (62.555) Epoch: [6][4760/5809] Time 0.963 (0.477) Data 0.903 (0.403) Loss 3.0351 (2.8290) Prec@1 27.734 (32.566) Prec@5 59.766 (62.553) Epoch: [6][4770/5809] Time 0.243 (0.477) Data 0.184 (0.402) Loss 2.9762 (2.8290) Prec@1 26.953 (32.566) Prec@5 60.938 (62.554) Epoch: [6][4780/5809] Time 1.153 (0.477) Data 1.091 (0.402) Loss 2.5902 (2.8289) Prec@1 37.891 (32.570) Prec@5 63.672 (62.554) Epoch: [6][4790/5809] Time 0.140 (0.477) Data 0.043 (0.402) Loss 2.6510 (2.8288) Prec@1 38.281 (32.572) Prec@5 68.750 (62.556) Epoch: [6][4800/5809] Time 1.223 (0.477) Data 1.150 (0.402) Loss 2.8278 (2.8288) Prec@1 32.031 (32.571) Prec@5 64.844 (62.556) Epoch: [6][4810/5809] Time 0.133 (0.476) Data 0.001 (0.402) Loss 2.8231 (2.8287) Prec@1 32.031 (32.570) Prec@5 65.625 (62.560) Epoch: [6][4820/5809] Time 1.119 (0.476) Data 1.054 (0.402) Loss 2.7741 (2.8289) Prec@1 29.688 (32.566) Prec@5 62.891 (62.558) Epoch: [6][4830/5809] Time 0.133 (0.476) Data 0.001 (0.402) Loss 2.9509 (2.8288) Prec@1 26.953 (32.568) Prec@5 59.375 (62.557) Epoch: [6][4840/5809] Time 1.300 (0.476) Data 1.240 (0.402) Loss 2.8381 (2.8287) Prec@1 27.734 (32.568) Prec@5 61.719 (62.558) Epoch: [6][4850/5809] Time 0.252 (0.476) Data 0.187 (0.401) Loss 2.7976 (2.8287) Prec@1 33.984 (32.570) Prec@5 65.234 (62.556) Epoch: [6][4860/5809] Time 1.187 (0.476) Data 1.128 (0.401) Loss 2.7619 (2.8287) Prec@1 32.422 (32.570) Prec@5 63.281 (62.555) Epoch: [6][4870/5809] Time 0.137 (0.476) Data 0.060 (0.401) Loss 2.7979 (2.8285) Prec@1 28.125 (32.570) Prec@5 65.625 (62.557) Epoch: [6][4880/5809] Time 1.013 (0.476) Data 0.954 (0.401) Loss 2.8568 (2.8285) Prec@1 36.328 (32.568) Prec@5 60.938 (62.557) Epoch: [6][4890/5809] Time 0.133 (0.476) Data 0.001 (0.401) Loss 2.9655 (2.8285) Prec@1 30.469 (32.567) Prec@5 62.500 (62.559) Epoch: [6][4900/5809] Time 0.780 (0.476) Data 0.721 (0.401) Loss 2.9321 (2.8284) Prec@1 30.078 (32.569) Prec@5 61.719 (62.561) Epoch: [6][4910/5809] Time 0.129 (0.475) Data 0.045 (0.401) Loss 2.6900 (2.8285) Prec@1 34.766 (32.566) Prec@5 65.625 (62.563) Epoch: [6][4920/5809] Time 0.711 (0.475) Data 0.651 (0.401) Loss 2.9452 (2.8285) Prec@1 30.859 (32.566) Prec@5 58.984 (62.562) Epoch: [6][4930/5809] Time 0.133 (0.475) Data 0.043 (0.400) Loss 2.8323 (2.8284) Prec@1 31.250 (32.566) Prec@5 63.672 (62.565) Epoch: [6][4940/5809] Time 0.697 (0.475) Data 0.638 (0.401) Loss 2.8847 (2.8284) Prec@1 31.250 (32.564) Prec@5 59.766 (62.564) Epoch: [6][4950/5809] Time 0.352 (0.475) Data 0.292 (0.400) Loss 2.9041 (2.8284) Prec@1 34.375 (32.563) Prec@5 60.156 (62.564) Epoch: [6][4960/5809] Time 0.403 (0.475) Data 0.340 (0.401) Loss 2.8766 (2.8284) Prec@1 34.375 (32.565) Prec@5 62.109 (62.565) Epoch: [6][4970/5809] Time 0.134 (0.475) Data 0.046 (0.401) Loss 2.8013 (2.8284) Prec@1 35.156 (32.567) Prec@5 61.719 (62.564) Epoch: [6][4980/5809] Time 0.659 (0.475) Data 0.600 (0.401) Loss 2.9981 (2.8283) Prec@1 28.516 (32.568) Prec@5 59.375 (62.566) Epoch: [6][4990/5809] Time 0.557 (0.475) Data 0.494 (0.401) Loss 2.9521 (2.8285) Prec@1 29.688 (32.565) Prec@5 60.547 (62.563) Epoch: [6][5000/5809] Time 0.840 (0.475) Data 0.782 (0.401) Loss 2.7689 (2.8285) Prec@1 33.594 (32.565) Prec@5 65.234 (62.565) Epoch: [6][5010/5809] Time 0.359 (0.475) Data 0.300 (0.401) Loss 3.0193 (2.8284) Prec@1 24.609 (32.565) Prec@5 60.156 (62.564) Epoch: [6][5020/5809] Time 0.386 (0.475) Data 0.324 (0.401) Loss 3.0501 (2.8285) Prec@1 26.172 (32.564) Prec@5 60.938 (62.562) Epoch: [6][5030/5809] Time 0.206 (0.475) Data 0.148 (0.401) Loss 2.7097 (2.8285) Prec@1 36.719 (32.565) Prec@5 64.453 (62.562) Epoch: [6][5040/5809] Time 0.487 (0.475) Data 0.427 (0.401) Loss 2.5993 (2.8284) Prec@1 32.812 (32.565) Prec@5 69.531 (62.566) Epoch: [6][5050/5809] Time 0.132 (0.475) Data 0.001 (0.401) Loss 2.6734 (2.8285) Prec@1 33.984 (32.562) Prec@5 66.406 (62.565) Epoch: [6][5060/5809] Time 0.404 (0.475) Data 0.341 (0.401) Loss 2.8521 (2.8286) Prec@1 34.375 (32.558) Prec@5 63.281 (62.565) Epoch: [6][5070/5809] Time 0.189 (0.475) Data 0.130 (0.401) Loss 2.8130 (2.8285) Prec@1 32.422 (32.557) Prec@5 60.938 (62.566) Epoch: [6][5080/5809] Time 0.131 (0.475) Data 0.001 (0.401) Loss 2.9921 (2.8285) Prec@1 27.344 (32.555) Prec@5 58.594 (62.568) Epoch: [6][5090/5809] Time 0.132 (0.475) Data 0.001 (0.401) Loss 2.7748 (2.8285) Prec@1 30.469 (32.557) Prec@5 65.234 (62.569) Epoch: [6][5100/5809] Time 0.401 (0.475) Data 0.339 (0.401) Loss 3.0076 (2.8285) Prec@1 29.297 (32.556) Prec@5 59.766 (62.570) Epoch: [6][5110/5809] Time 0.496 (0.475) Data 0.432 (0.401) Loss 2.7445 (2.8284) Prec@1 31.250 (32.558) Prec@5 62.891 (62.572) Epoch: [6][5120/5809] Time 0.385 (0.475) Data 0.325 (0.401) Loss 2.9199 (2.8284) Prec@1 29.688 (32.559) Prec@5 60.547 (62.572) Epoch: [6][5130/5809] Time 0.769 (0.475) Data 0.709 (0.401) Loss 2.7277 (2.8283) Prec@1 32.812 (32.560) Prec@5 67.188 (62.575) Epoch: [6][5140/5809] Time 0.134 (0.475) Data 0.001 (0.401) Loss 2.6768 (2.8283) Prec@1 38.281 (32.559) Prec@5 66.016 (62.576) Epoch: [6][5150/5809] Time 0.895 (0.475) Data 0.836 (0.401) Loss 3.0331 (2.8284) Prec@1 31.250 (32.560) Prec@5 58.984 (62.575) Epoch: [6][5160/5809] Time 0.454 (0.475) Data 0.386 (0.401) Loss 3.1029 (2.8284) Prec@1 30.078 (32.561) Prec@5 56.641 (62.574) Epoch: [6][5170/5809] Time 0.666 (0.475) Data 0.603 (0.401) Loss 2.7549 (2.8284) Prec@1 31.250 (32.561) Prec@5 64.844 (62.575) Epoch: [6][5180/5809] Time 0.138 (0.475) Data 0.077 (0.401) Loss 2.6286 (2.8283) Prec@1 31.641 (32.563) Prec@5 64.844 (62.577) Epoch: [6][5190/5809] Time 0.861 (0.475) Data 0.803 (0.401) Loss 2.8257 (2.8282) Prec@1 32.812 (32.562) Prec@5 61.328 (62.578) Epoch: [6][5200/5809] Time 0.356 (0.475) Data 0.289 (0.401) Loss 2.8511 (2.8282) Prec@1 30.469 (32.564) Prec@5 61.328 (62.578) Epoch: [6][5210/5809] Time 1.236 (0.475) Data 1.174 (0.401) Loss 2.8542 (2.8281) Prec@1 35.156 (32.564) Prec@5 58.594 (62.578) Epoch: [6][5220/5809] Time 0.140 (0.475) Data 0.001 (0.401) Loss 2.5263 (2.8280) Prec@1 40.234 (32.566) Prec@5 67.969 (62.579) Epoch: [6][5230/5809] Time 0.750 (0.475) Data 0.690 (0.401) Loss 2.9956 (2.8280) Prec@1 30.859 (32.564) Prec@5 62.500 (62.579) Epoch: [6][5240/5809] Time 0.133 (0.475) Data 0.047 (0.400) Loss 2.7375 (2.8278) Prec@1 35.156 (32.565) Prec@5 64.453 (62.583) Epoch: [6][5250/5809] Time 0.549 (0.475) Data 0.487 (0.400) Loss 2.7998 (2.8277) Prec@1 30.859 (32.566) Prec@5 65.234 (62.585) Epoch: [6][5260/5809] Time 0.142 (0.474) Data 0.001 (0.400) Loss 2.7230 (2.8278) Prec@1 33.594 (32.565) Prec@5 68.750 (62.584) Epoch: [6][5270/5809] Time 0.441 (0.474) Data 0.381 (0.400) Loss 2.8981 (2.8277) Prec@1 35.156 (32.568) Prec@5 62.109 (62.587) Epoch: [6][5280/5809] Time 0.142 (0.474) Data 0.001 (0.400) Loss 2.7618 (2.8277) Prec@1 33.203 (32.567) Prec@5 63.672 (62.586) Epoch: [6][5290/5809] Time 0.565 (0.474) Data 0.505 (0.400) Loss 2.8244 (2.8277) Prec@1 32.422 (32.565) Prec@5 61.719 (62.585) Epoch: [6][5300/5809] Time 0.139 (0.474) Data 0.001 (0.400) Loss 2.9842 (2.8276) Prec@1 33.984 (32.569) Prec@5 57.422 (62.587) Epoch: [6][5310/5809] Time 0.316 (0.474) Data 0.257 (0.399) Loss 2.8317 (2.8276) Prec@1 35.547 (32.568) Prec@5 62.500 (62.588) Epoch: [6][5320/5809] Time 0.132 (0.474) Data 0.001 (0.399) Loss 2.7739 (2.8276) Prec@1 32.422 (32.569) Prec@5 64.844 (62.588) Epoch: [6][5330/5809] Time 0.133 (0.474) Data 0.001 (0.399) Loss 2.9555 (2.8276) Prec@1 30.859 (32.568) Prec@5 62.500 (62.585) Epoch: [6][5340/5809] Time 0.140 (0.474) Data 0.001 (0.399) Loss 2.8971 (2.8276) Prec@1 31.641 (32.571) Prec@5 60.547 (62.585) Epoch: [6][5350/5809] Time 0.133 (0.473) Data 0.001 (0.399) Loss 2.6721 (2.8276) Prec@1 33.594 (32.573) Prec@5 65.625 (62.588) Epoch: [6][5360/5809] Time 0.169 (0.473) Data 0.103 (0.399) Loss 2.9489 (2.8275) Prec@1 29.297 (32.575) Prec@5 61.719 (62.591) Epoch: [6][5370/5809] Time 0.133 (0.473) Data 0.070 (0.398) Loss 2.6857 (2.8276) Prec@1 32.812 (32.574) Prec@5 63.672 (62.590) Epoch: [6][5380/5809] Time 0.208 (0.473) Data 0.146 (0.398) Loss 2.6107 (2.8276) Prec@1 35.547 (32.574) Prec@5 67.578 (62.589) Epoch: [6][5390/5809] Time 0.341 (0.473) Data 0.281 (0.398) Loss 2.7979 (2.8274) Prec@1 36.719 (32.578) Prec@5 62.109 (62.591) Epoch: [6][5400/5809] Time 0.135 (0.473) Data 0.001 (0.398) Loss 2.8192 (2.8274) Prec@1 34.766 (32.579) Prec@5 62.891 (62.592) Epoch: [6][5410/5809] Time 0.133 (0.473) Data 0.001 (0.398) Loss 2.8006 (2.8274) Prec@1 31.641 (32.579) Prec@5 62.109 (62.591) Epoch: [6][5420/5809] Time 0.210 (0.473) Data 0.142 (0.398) Loss 2.8067 (2.8273) Prec@1 35.547 (32.580) Prec@5 62.500 (62.591) Epoch: [6][5430/5809] Time 0.127 (0.473) Data 0.049 (0.398) Loss 2.6618 (2.8274) Prec@1 33.594 (32.581) Prec@5 63.672 (62.590) Epoch: [6][5440/5809] Time 0.133 (0.473) Data 0.059 (0.398) Loss 2.9271 (2.8274) Prec@1 30.469 (32.580) Prec@5 62.891 (62.590) Epoch: [6][5450/5809] Time 0.133 (0.472) Data 0.047 (0.398) Loss 2.8281 (2.8274) Prec@1 33.203 (32.582) Prec@5 58.984 (62.588) Epoch: [6][5460/5809] Time 0.318 (0.472) Data 0.251 (0.398) Loss 2.9304 (2.8273) Prec@1 32.812 (32.585) Prec@5 62.891 (62.588) Epoch: [6][5470/5809] Time 0.228 (0.472) Data 0.169 (0.397) Loss 2.7372 (2.8273) Prec@1 36.719 (32.584) Prec@5 65.234 (62.590) Epoch: [6][5480/5809] Time 0.361 (0.472) Data 0.297 (0.397) Loss 2.8707 (2.8273) Prec@1 32.812 (32.585) Prec@5 62.500 (62.591) Epoch: [6][5490/5809] Time 0.272 (0.472) Data 0.209 (0.397) Loss 2.7187 (2.8274) Prec@1 35.156 (32.586) Prec@5 61.328 (62.587) Epoch: [6][5500/5809] Time 0.133 (0.472) Data 0.068 (0.397) Loss 2.9652 (2.8275) Prec@1 28.906 (32.584) Prec@5 57.422 (62.587) Epoch: [6][5510/5809] Time 0.311 (0.472) Data 0.251 (0.397) Loss 2.8510 (2.8275) Prec@1 31.641 (32.584) Prec@5 60.156 (62.586) Epoch: [6][5520/5809] Time 0.133 (0.472) Data 0.001 (0.397) Loss 2.8398 (2.8273) Prec@1 33.594 (32.586) Prec@5 62.891 (62.590) Epoch: [6][5530/5809] Time 0.139 (0.472) Data 0.078 (0.397) Loss 2.6497 (2.8274) Prec@1 32.812 (32.583) Prec@5 65.625 (62.588) Epoch: [6][5540/5809] Time 0.133 (0.472) Data 0.001 (0.397) Loss 2.8271 (2.8274) Prec@1 32.422 (32.583) Prec@5 61.719 (62.590) Epoch: [6][5550/5809] Time 0.133 (0.472) Data 0.058 (0.397) Loss 2.8123 (2.8273) Prec@1 30.859 (32.585) Prec@5 63.672 (62.591) Epoch: [6][5560/5809] Time 0.273 (0.472) Data 0.215 (0.397) Loss 2.9532 (2.8273) Prec@1 30.078 (32.584) Prec@5 59.766 (62.592) Epoch: [6][5570/5809] Time 0.289 (0.471) Data 0.229 (0.397) Loss 2.8684 (2.8272) Prec@1 31.641 (32.586) Prec@5 63.672 (62.595) Epoch: [6][5580/5809] Time 0.389 (0.471) Data 0.329 (0.397) Loss 2.7151 (2.8272) Prec@1 35.547 (32.587) Prec@5 66.406 (62.596) Epoch: [6][5590/5809] Time 0.134 (0.471) Data 0.045 (0.397) Loss 2.6084 (2.8271) Prec@1 35.547 (32.587) Prec@5 68.359 (62.597) Epoch: [6][5600/5809] Time 0.391 (0.471) Data 0.328 (0.397) Loss 2.7699 (2.8271) Prec@1 33.984 (32.588) Prec@5 64.062 (62.597) Epoch: [6][5610/5809] Time 0.134 (0.471) Data 0.001 (0.396) Loss 2.8354 (2.8270) Prec@1 32.031 (32.588) Prec@5 58.203 (62.597) Epoch: [6][5620/5809] Time 0.257 (0.471) Data 0.197 (0.396) Loss 2.9267 (2.8270) Prec@1 28.516 (32.589) Prec@5 62.500 (62.596) Epoch: [6][5630/5809] Time 0.371 (0.471) Data 0.312 (0.396) Loss 2.8306 (2.8271) Prec@1 30.469 (32.589) Prec@5 61.328 (62.595) Epoch: [6][5640/5809] Time 0.150 (0.471) Data 0.091 (0.396) Loss 2.5011 (2.8270) Prec@1 37.891 (32.591) Prec@5 69.922 (62.598) Epoch: [6][5650/5809] Time 0.324 (0.471) Data 0.264 (0.396) Loss 2.8020 (2.8269) Prec@1 33.203 (32.595) Prec@5 64.844 (62.601) Epoch: [6][5660/5809] Time 0.133 (0.471) Data 0.042 (0.396) Loss 3.0655 (2.8268) Prec@1 32.031 (32.597) Prec@5 55.469 (62.602) Epoch: [6][5670/5809] Time 0.140 (0.471) Data 0.080 (0.396) Loss 2.7037 (2.8267) Prec@1 35.156 (32.600) Prec@5 63.672 (62.602) Epoch: [6][5680/5809] Time 0.133 (0.471) Data 0.045 (0.396) Loss 2.8074 (2.8265) Prec@1 30.078 (32.602) Prec@5 62.500 (62.606) Epoch: [6][5690/5809] Time 0.381 (0.471) Data 0.322 (0.396) Loss 2.6533 (2.8264) Prec@1 38.281 (32.604) Prec@5 66.406 (62.610) Epoch: [6][5700/5809] Time 0.218 (0.471) Data 0.158 (0.396) Loss 2.8514 (2.8264) Prec@1 34.375 (32.605) Prec@5 62.109 (62.611) Epoch: [6][5710/5809] Time 0.435 (0.471) Data 0.376 (0.396) Loss 2.7798 (2.8263) Prec@1 34.766 (32.607) Prec@5 63.672 (62.612) Epoch: [6][5720/5809] Time 0.319 (0.471) Data 0.261 (0.396) Loss 2.6807 (2.8263) Prec@1 36.328 (32.607) Prec@5 65.234 (62.613) Epoch: [6][5730/5809] Time 0.278 (0.471) Data 0.219 (0.396) Loss 2.8143 (2.8263) Prec@1 33.203 (32.606) Prec@5 62.500 (62.615) Epoch: [6][5740/5809] Time 0.566 (0.471) Data 0.502 (0.396) Loss 2.7735 (2.8263) Prec@1 35.547 (32.609) Prec@5 66.016 (62.617) Epoch: [6][5750/5809] Time 0.534 (0.471) Data 0.470 (0.397) Loss 2.9861 (2.8262) Prec@1 29.297 (32.610) Prec@5 58.594 (62.616) Epoch: [6][5760/5809] Time 0.439 (0.471) Data 0.379 (0.397) Loss 2.8118 (2.8262) Prec@1 34.766 (32.612) Prec@5 62.109 (62.618) Epoch: [6][5770/5809] Time 0.132 (0.471) Data 0.045 (0.397) Loss 2.8720 (2.8263) Prec@1 32.422 (32.611) Prec@5 64.062 (62.617) Epoch: [6][5780/5809] Time 0.634 (0.471) Data 0.569 (0.397) Loss 2.8103 (2.8264) Prec@1 32.031 (32.610) Prec@5 60.938 (62.616) Epoch: [6][5790/5809] Time 0.133 (0.471) Data 0.001 (0.397) Loss 2.6050 (2.8263) Prec@1 41.016 (32.611) Prec@5 64.844 (62.619) Epoch: [6][5800/5809] Time 0.394 (0.471) Data 0.333 (0.397) Loss 2.7421 (2.8262) Prec@1 32.812 (32.610) Prec@5 66.016 (62.621) Test: [0/143] Time 2.015 (2.015) Loss 1.6736 (1.6736) Prec@1 51.953 (51.953) Prec@5 86.719 (86.719) Test: [10/143] Time 0.148 (0.525) Loss 9.4297 (8.6868) Prec@1 0.000 (6.392) Prec@5 0.000 (14.062) Test: [20/143] Time 0.648 (0.482) Loss 10.6997 (9.5413) Prec@1 0.391 (3.441) Prec@5 0.391 (8.110) Test: [30/143] Time 0.349 (0.460) Loss 13.1176 (10.0646) Prec@1 0.000 (2.344) Prec@5 0.000 (5.771) Test: [40/143] Time 0.437 (0.442) Loss 10.3355 (10.1650) Prec@1 0.391 (1.839) Prec@5 1.172 (4.630) Test: [50/143] Time 0.303 (0.436) Loss 9.4657 (10.1593) Prec@1 0.000 (1.639) Prec@5 0.391 (4.733) Test: [60/143] Time 0.112 (0.433) Loss 11.6031 (10.2743) Prec@1 0.000 (1.383) Prec@5 0.391 (4.047) Test: [70/143] Time 0.502 (0.431) Loss 8.9222 (10.3851) Prec@1 0.000 (1.221) Prec@5 1.562 (3.648) Test: [80/143] Time 0.205 (0.428) Loss 8.4096 (10.3500) Prec@1 0.000 (1.128) Prec@5 2.734 (3.520) Test: [90/143] Time 0.503 (0.427) Loss 8.9946 (10.2599) Prec@1 0.000 (1.013) Prec@5 1.953 (3.357) Test: [100/143] Time 0.055 (0.426) Loss 10.5001 (10.2446) Prec@1 0.391 (0.932) Prec@5 0.781 (3.110) Test: [110/143] Time 0.173 (0.428) Loss 12.4298 (10.2448) Prec@1 0.000 (0.859) Prec@5 0.000 (2.956) Test: [120/143] Time 0.055 (0.423) Loss 14.2226 (10.3414) Prec@1 0.000 (0.807) Prec@5 0.000 (2.841) Test: [130/143] Time 0.059 (0.424) Loss 14.1208 (10.6920) Prec@1 0.000 (0.745) Prec@5 0.000 (2.624) Test: [140/143] Time 0.466 (0.422) Loss 15.9745 (10.9982) Prec@1 0.000 (0.693) Prec@5 0.000 (2.438) * Prec@1 0.685 Prec@5 2.412 Epoch: [7][0/5809] Time 3.097 (3.097) Data 3.028 (3.028) Loss 2.5822 (2.5822) Prec@1 36.719 (36.719) Prec@5 67.578 (67.578) Epoch: [7][10/5809] Time 0.133 (0.662) Data 0.001 (0.550) Loss 2.6165 (2.7285) Prec@1 35.156 (34.162) Prec@5 65.234 (64.347) Epoch: [7][20/5809] Time 1.503 (0.601) Data 1.444 (0.500) Loss 2.7924 (2.7537) Prec@1 32.422 (33.557) Prec@5 61.328 (63.895) Epoch: [7][30/5809] Time 0.160 (0.535) Data 0.099 (0.442) Loss 2.5663 (2.7532) Prec@1 33.594 (33.657) Prec@5 66.797 (63.974) Epoch: [7][40/5809] Time 1.194 (0.539) Data 1.135 (0.451) Loss 2.7182 (2.7703) Prec@1 30.859 (33.041) Prec@5 63.672 (63.577) Epoch: [7][50/5809] Time 0.569 (0.518) Data 0.503 (0.430) Loss 2.6056 (2.7734) Prec@1 35.938 (33.050) Prec@5 67.578 (63.519) Epoch: [7][60/5809] Time 1.257 (0.515) Data 1.198 (0.429) Loss 2.9512 (2.7722) Prec@1 32.031 (33.280) Prec@5 60.156 (63.614) Epoch: [7][70/5809] Time 0.288 (0.501) Data 0.218 (0.415) Loss 2.7733 (2.7732) Prec@1 31.250 (33.187) Prec@5 63.672 (63.639) Epoch: [7][80/5809] Time 0.983 (0.499) Data 0.915 (0.413) Loss 2.8316 (2.7763) Prec@1 33.203 (33.140) Prec@5 66.016 (63.691) Epoch: [7][90/5809] Time 0.130 (0.491) Data 0.044 (0.405) Loss 2.7307 (2.7790) Prec@1 33.984 (33.061) Prec@5 65.625 (63.715) Epoch: [7][100/5809] Time 1.350 (0.494) Data 1.290 (0.410) Loss 3.0447 (2.7754) Prec@1 27.734 (33.184) Prec@5 57.812 (63.757) Epoch: [7][110/5809] Time 0.139 (0.487) Data 0.001 (0.402) Loss 2.8015 (2.7775) Prec@1 30.078 (33.221) Prec@5 63.281 (63.746) Epoch: [7][120/5809] Time 1.080 (0.486) Data 1.018 (0.403) Loss 2.7230 (2.7782) Prec@1 30.078 (33.210) Prec@5 66.797 (63.772) Epoch: [7][130/5809] Time 0.147 (0.482) Data 0.086 (0.401) Loss 2.7121 (2.7786) Prec@1 32.031 (33.179) Prec@5 65.625 (63.726) Epoch: [7][140/5809] Time 1.288 (0.483) Data 1.228 (0.402) Loss 2.8209 (2.7814) Prec@1 30.469 (33.198) Prec@5 62.500 (63.675) Epoch: [7][150/5809] Time 0.284 (0.478) Data 0.224 (0.398) Loss 2.8405 (2.7827) Prec@1 31.641 (33.185) Prec@5 59.375 (63.713) Epoch: [7][160/5809] Time 1.066 (0.478) Data 1.007 (0.397) Loss 2.5529 (2.7851) Prec@1 39.062 (33.150) Prec@5 67.578 (63.626) Epoch: [7][170/5809] Time 0.311 (0.475) Data 0.252 (0.395) Loss 2.9938 (2.7841) Prec@1 25.000 (33.162) Prec@5 60.156 (63.686) Epoch: [7][180/5809] Time 1.097 (0.477) Data 1.030 (0.398) Loss 2.6656 (2.7851) Prec@1 32.812 (33.149) Prec@5 61.328 (63.648) Epoch: [7][190/5809] Time 0.298 (0.474) Data 0.240 (0.395) Loss 2.8825 (2.7829) Prec@1 31.641 (33.205) Prec@5 61.328 (63.707) Epoch: [7][200/5809] Time 1.034 (0.474) Data 0.974 (0.396) Loss 2.6416 (2.7843) Prec@1 37.109 (33.221) Prec@5 66.797 (63.687) Epoch: [7][210/5809] Time 0.133 (0.473) Data 0.044 (0.394) Loss 2.7851 (2.7846) Prec@1 37.500 (33.249) Prec@5 63.281 (63.646) Epoch: [7][220/5809] Time 0.877 (0.473) Data 0.817 (0.395) Loss 2.5216 (2.7858) Prec@1 37.500 (33.274) Prec@5 66.406 (63.585) Epoch: [7][230/5809] Time 0.132 (0.469) Data 0.047 (0.391) Loss 2.6175 (2.7853) Prec@1 34.766 (33.244) Prec@5 67.969 (63.565) Epoch: [7][240/5809] Time 1.044 (0.471) Data 0.985 (0.394) Loss 2.6075 (2.7860) Prec@1 39.062 (33.257) Prec@5 68.750 (63.531) Epoch: [7][250/5809] Time 0.132 (0.468) Data 0.001 (0.391) Loss 2.9086 (2.7862) Prec@1 32.031 (33.245) Prec@5 62.109 (63.501) Epoch: [7][260/5809] Time 0.600 (0.466) Data 0.541 (0.390) Loss 2.8362 (2.7866) Prec@1 33.594 (33.296) Prec@5 65.234 (63.489) Epoch: [7][270/5809] Time 0.131 (0.464) Data 0.045 (0.387) Loss 3.0696 (2.7861) Prec@1 25.391 (33.277) Prec@5 58.984 (63.523) Epoch: [7][280/5809] Time 0.261 (0.462) Data 0.202 (0.386) Loss 2.8536 (2.7882) Prec@1 32.422 (33.271) Prec@5 59.766 (63.465) Epoch: [7][290/5809] Time 0.386 (0.462) Data 0.327 (0.386) Loss 2.8701 (2.7896) Prec@1 33.203 (33.230) Prec@5 62.109 (63.454) Epoch: [7][300/5809] Time 0.337 (0.459) Data 0.279 (0.383) Loss 2.4804 (2.7889) Prec@1 35.547 (33.246) Prec@5 67.578 (63.479) Epoch: [7][310/5809] Time 0.622 (0.458) Data 0.559 (0.383) Loss 2.7912 (2.7896) Prec@1 32.812 (33.272) Prec@5 63.672 (63.456) Epoch: [7][320/5809] Time 0.133 (0.456) Data 0.001 (0.381) Loss 2.6128 (2.7887) Prec@1 38.281 (33.307) Prec@5 62.891 (63.441) Epoch: [7][330/5809] Time 0.547 (0.455) Data 0.488 (0.381) Loss 2.7994 (2.7882) Prec@1 31.250 (33.295) Prec@5 64.453 (63.474) Epoch: [7][340/5809] Time 0.154 (0.453) Data 0.094 (0.379) Loss 2.6757 (2.7891) Prec@1 31.641 (33.246) Prec@5 61.719 (63.431) Epoch: [7][350/5809] Time 0.710 (0.453) Data 0.647 (0.379) Loss 2.9831 (2.7899) Prec@1 25.391 (33.216) Prec@5 58.594 (63.400) Epoch: [7][360/5809] Time 0.131 (0.451) Data 0.049 (0.378) Loss 2.7184 (2.7902) Prec@1 35.156 (33.214) Prec@5 64.844 (63.391) Epoch: [7][370/5809] Time 0.792 (0.451) Data 0.733 (0.377) Loss 2.7650 (2.7892) Prec@1 36.719 (33.238) Prec@5 67.188 (63.400) Epoch: [7][380/5809] Time 0.132 (0.450) Data 0.001 (0.376) Loss 2.6172 (2.7877) Prec@1 33.203 (33.287) Prec@5 67.578 (63.404) Epoch: [7][390/5809] Time 0.870 (0.449) Data 0.810 (0.375) Loss 3.1443 (2.7872) Prec@1 26.562 (33.315) Prec@5 57.031 (63.427) Epoch: [7][400/5809] Time 0.133 (0.448) Data 0.043 (0.374) Loss 3.0012 (2.7877) Prec@1 33.984 (33.303) Prec@5 60.156 (63.420) Epoch: [7][410/5809] Time 0.746 (0.448) Data 0.685 (0.374) Loss 2.6670 (2.7888) Prec@1 40.625 (33.314) Prec@5 64.062 (63.385) Epoch: [7][420/5809] Time 0.134 (0.447) Data 0.001 (0.373) Loss 2.6216 (2.7868) Prec@1 38.281 (33.374) Prec@5 64.062 (63.408) Epoch: [7][430/5809] Time 0.399 (0.447) Data 0.340 (0.373) Loss 2.7884 (2.7866) Prec@1 32.031 (33.364) Prec@5 62.109 (63.414) Epoch: [7][440/5809] Time 0.298 (0.446) Data 0.239 (0.373) Loss 2.8711 (2.7868) Prec@1 32.812 (33.363) Prec@5 60.156 (63.411) Epoch: [7][450/5809] Time 0.126 (0.446) Data 0.052 (0.373) Loss 2.6591 (2.7857) Prec@1 37.109 (33.370) Prec@5 67.578 (63.421) Epoch: [7][460/5809] Time 0.291 (0.445) Data 0.232 (0.372) Loss 2.7758 (2.7848) Prec@1 31.250 (33.374) Prec@5 64.844 (63.424) Epoch: [7][470/5809] Time 0.193 (0.446) Data 0.129 (0.373) Loss 2.7450 (2.7850) Prec@1 33.984 (33.373) Prec@5 64.062 (63.409) Epoch: [7][480/5809] Time 0.401 (0.445) Data 0.340 (0.373) Loss 2.6822 (2.7830) Prec@1 36.328 (33.404) Prec@5 66.406 (63.450) Epoch: [7][490/5809] Time 0.214 (0.446) Data 0.155 (0.373) Loss 2.7915 (2.7827) Prec@1 33.984 (33.439) Prec@5 64.844 (63.452) Epoch: [7][500/5809] Time 0.401 (0.445) Data 0.342 (0.373) Loss 2.5904 (2.7835) Prec@1 40.625 (33.409) Prec@5 67.578 (63.458) Epoch: [7][510/5809] Time 0.339 (0.445) Data 0.277 (0.373) Loss 2.7390 (2.7844) Prec@1 31.641 (33.400) Prec@5 66.016 (63.443) Epoch: [7][520/5809] Time 0.637 (0.445) Data 0.577 (0.373) Loss 2.9161 (2.7844) Prec@1 32.812 (33.388) Prec@5 62.891 (63.445) Epoch: [7][530/5809] Time 0.254 (0.444) Data 0.194 (0.372) Loss 2.6767 (2.7847) Prec@1 34.375 (33.382) Prec@5 66.016 (63.450) Epoch: [7][540/5809] Time 0.449 (0.444) Data 0.390 (0.372) Loss 3.0738 (2.7851) Prec@1 32.031 (33.377) Prec@5 57.031 (63.436) Epoch: [7][550/5809] Time 0.133 (0.442) Data 0.001 (0.370) Loss 2.7065 (2.7852) Prec@1 30.469 (33.392) Prec@5 64.062 (63.434) Epoch: [7][560/5809] Time 0.618 (0.445) Data 0.560 (0.373) Loss 2.7783 (2.7854) Prec@1 32.422 (33.385) Prec@5 63.672 (63.424) Epoch: [7][570/5809] Time 0.135 (0.445) Data 0.001 (0.373) Loss 2.6294 (2.7853) Prec@1 35.547 (33.384) Prec@5 71.875 (63.445) Epoch: [7][580/5809] Time 0.624 (0.447) Data 0.564 (0.375) Loss 2.6136 (2.7838) Prec@1 39.062 (33.403) Prec@5 66.797 (63.481) Epoch: [7][590/5809] Time 0.134 (0.448) Data 0.001 (0.376) Loss 2.7659 (2.7824) Prec@1 34.375 (33.420) Prec@5 64.844 (63.499) Epoch: [7][600/5809] Time 0.421 (0.451) Data 0.356 (0.378) Loss 2.7679 (2.7837) Prec@1 32.812 (33.378) Prec@5 64.062 (63.487) Epoch: [7][610/5809] Time 0.135 (0.449) Data 0.045 (0.377) Loss 2.3507 (2.7835) Prec@1 41.797 (33.380) Prec@5 71.094 (63.494) Epoch: [7][620/5809] Time 0.155 (0.450) Data 0.091 (0.377) Loss 2.7636 (2.7831) Prec@1 30.859 (33.374) Prec@5 66.016 (63.515) Epoch: [7][630/5809] Time 0.303 (0.449) Data 0.243 (0.376) Loss 2.7534 (2.7843) Prec@1 33.984 (33.347) Prec@5 64.453 (63.487) Epoch: [7][640/5809] Time 0.132 (0.449) Data 0.001 (0.377) Loss 2.7072 (2.7843) Prec@1 31.641 (33.329) Prec@5 64.062 (63.482) Epoch: [7][650/5809] Time 0.814 (0.450) Data 0.756 (0.377) Loss 2.6899 (2.7846) Prec@1 36.719 (33.327) Prec@5 64.844 (63.474) Epoch: [7][660/5809] Time 0.374 (0.451) Data 0.314 (0.378) Loss 2.9544 (2.7839) Prec@1 26.172 (33.341) Prec@5 60.938 (63.493) Epoch: [7][670/5809] Time 0.292 (0.452) Data 0.234 (0.379) Loss 2.7073 (2.7838) Prec@1 39.062 (33.352) Prec@5 65.625 (63.503) Epoch: [7][680/5809] Time 0.206 (0.454) Data 0.147 (0.381) Loss 2.6748 (2.7832) Prec@1 35.547 (33.362) Prec@5 65.625 (63.502) Epoch: [7][690/5809] Time 0.494 (0.454) Data 0.434 (0.381) Loss 2.7438 (2.7829) Prec@1 32.422 (33.350) Prec@5 69.141 (63.510) Epoch: [7][700/5809] Time 0.507 (0.456) Data 0.440 (0.383) Loss 2.6387 (2.7829) Prec@1 34.766 (33.349) Prec@5 68.359 (63.531) Epoch: [7][710/5809] Time 0.161 (0.456) Data 0.101 (0.383) Loss 2.9315 (2.7837) Prec@1 32.031 (33.338) Prec@5 56.641 (63.496) Epoch: [7][720/5809] Time 0.545 (0.457) Data 0.484 (0.384) Loss 2.9055 (2.7837) Prec@1 29.688 (33.329) Prec@5 59.375 (63.482) Epoch: [7][730/5809] Time 0.423 (0.457) Data 0.365 (0.384) Loss 2.7869 (2.7841) Prec@1 35.156 (33.315) Prec@5 66.016 (63.486) Epoch: [7][740/5809] Time 0.384 (0.458) Data 0.325 (0.385) Loss 2.8194 (2.7852) Prec@1 32.812 (33.292) Prec@5 64.453 (63.450) Epoch: [7][750/5809] Time 0.684 (0.458) Data 0.625 (0.385) Loss 2.6175 (2.7859) Prec@1 39.062 (33.292) Prec@5 65.625 (63.436) Epoch: [7][760/5809] Time 0.188 (0.458) Data 0.129 (0.385) Loss 2.8630 (2.7865) Prec@1 30.469 (33.276) Prec@5 62.891 (63.421) Epoch: [7][770/5809] Time 0.660 (0.458) Data 0.601 (0.385) Loss 2.7676 (2.7869) Prec@1 31.250 (33.258) Prec@5 64.062 (63.410) Epoch: [7][780/5809] Time 0.585 (0.458) Data 0.526 (0.386) Loss 2.8386 (2.7867) Prec@1 33.203 (33.271) Prec@5 62.109 (63.411) Epoch: [7][790/5809] Time 0.732 (0.458) Data 0.673 (0.386) Loss 2.7281 (2.7863) Prec@1 33.984 (33.278) Prec@5 66.406 (63.418) Epoch: [7][800/5809] Time 0.414 (0.458) Data 0.351 (0.386) Loss 2.7743 (2.7862) Prec@1 31.641 (33.269) Prec@5 62.891 (63.416) Epoch: [7][810/5809] Time 1.412 (0.459) Data 1.352 (0.387) Loss 2.8374 (2.7867) Prec@1 31.641 (33.267) Prec@5 62.500 (63.420) Epoch: [7][820/5809] Time 0.133 (0.459) Data 0.001 (0.386) Loss 2.6514 (2.7860) Prec@1 34.375 (33.274) Prec@5 64.844 (63.429) Epoch: [7][830/5809] Time 1.325 (0.459) Data 1.266 (0.387) Loss 2.7657 (2.7859) Prec@1 33.984 (33.277) Prec@5 63.672 (63.431) Epoch: [7][840/5809] Time 0.246 (0.459) Data 0.187 (0.386) Loss 2.7802 (2.7863) Prec@1 31.250 (33.271) Prec@5 61.719 (63.414) Epoch: [7][850/5809] Time 1.349 (0.460) Data 1.290 (0.388) Loss 3.0245 (2.7856) Prec@1 30.078 (33.284) Prec@5 58.594 (63.428) Epoch: [7][860/5809] Time 0.433 (0.461) Data 0.374 (0.388) Loss 2.9163 (2.7861) Prec@1 30.078 (33.274) Prec@5 61.719 (63.427) Epoch: [7][870/5809] Time 0.651 (0.461) Data 0.592 (0.388) Loss 2.8337 (2.7874) Prec@1 32.031 (33.264) Prec@5 60.156 (63.404) Epoch: [7][880/5809] Time 0.445 (0.461) Data 0.384 (0.388) Loss 2.6222 (2.7877) Prec@1 34.375 (33.249) Prec@5 66.797 (63.404) Epoch: [7][890/5809] Time 1.557 (0.462) Data 1.498 (0.389) Loss 2.7871 (2.7881) Prec@1 33.984 (33.237) Prec@5 60.938 (63.400) Epoch: [7][900/5809] Time 0.383 (0.462) Data 0.322 (0.389) Loss 3.0976 (2.7882) Prec@1 29.688 (33.245) Prec@5 57.422 (63.400) Epoch: [7][910/5809] Time 1.382 (0.463) Data 1.322 (0.390) Loss 2.6533 (2.7888) Prec@1 32.422 (33.240) Prec@5 64.453 (63.394) Epoch: [7][920/5809] Time 0.369 (0.464) Data 0.301 (0.391) Loss 2.7668 (2.7889) Prec@1 33.594 (33.249) Prec@5 64.844 (63.392) Epoch: [7][930/5809] Time 0.569 (0.465) Data 0.510 (0.391) Loss 2.6757 (2.7891) Prec@1 33.594 (33.248) Prec@5 70.312 (63.393) Epoch: [7][940/5809] Time 0.447 (0.466) Data 0.386 (0.393) Loss 2.7269 (2.7893) Prec@1 30.078 (33.250) Prec@5 66.406 (63.392) Epoch: [7][950/5809] Time 0.317 (0.465) Data 0.253 (0.392) Loss 2.6762 (2.7890) Prec@1 35.547 (33.254) Prec@5 65.234 (63.395) Epoch: [7][960/5809] Time 0.158 (0.466) Data 0.099 (0.393) Loss 2.8149 (2.7889) Prec@1 34.766 (33.269) Prec@5 61.719 (63.393) Epoch: [7][970/5809] Time 0.451 (0.466) Data 0.391 (0.393) Loss 2.7712 (2.7893) Prec@1 33.203 (33.270) Prec@5 65.234 (63.388) Epoch: [7][980/5809] Time 0.229 (0.466) Data 0.163 (0.393) Loss 3.0946 (2.7894) Prec@1 24.219 (33.260) Prec@5 55.078 (63.390) Epoch: [7][990/5809] Time 0.321 (0.466) Data 0.257 (0.393) Loss 2.6800 (2.7894) Prec@1 37.109 (33.267) Prec@5 62.500 (63.381) Epoch: [7][1000/5809] Time 0.140 (0.467) Data 0.001 (0.394) Loss 2.9364 (2.7896) Prec@1 28.906 (33.264) Prec@5 60.547 (63.382) Epoch: [7][1010/5809] Time 0.482 (0.467) Data 0.420 (0.394) Loss 2.6855 (2.7891) Prec@1 35.938 (33.279) Prec@5 66.797 (63.403) Epoch: [7][1020/5809] Time 0.385 (0.467) Data 0.326 (0.394) Loss 2.7852 (2.7890) Prec@1 36.328 (33.275) Prec@5 63.281 (63.406) Epoch: [7][1030/5809] Time 0.134 (0.467) Data 0.001 (0.394) Loss 2.7493 (2.7894) Prec@1 36.328 (33.275) Prec@5 63.672 (63.390) Epoch: [7][1040/5809] Time 0.655 (0.468) Data 0.596 (0.394) Loss 2.8960 (2.7891) Prec@1 32.031 (33.280) Prec@5 62.500 (63.393) Epoch: [7][1050/5809] Time 0.134 (0.467) Data 0.055 (0.394) Loss 2.8536 (2.7894) Prec@1 34.375 (33.276) Prec@5 61.719 (63.389) Epoch: [7][1060/5809] Time 0.167 (0.469) Data 0.107 (0.395) Loss 2.9102 (2.7896) Prec@1 26.172 (33.268) Prec@5 64.844 (63.385) Epoch: [7][1070/5809] Time 0.293 (0.469) Data 0.233 (0.395) Loss 2.6614 (2.7897) Prec@1 35.547 (33.256) Prec@5 69.531 (63.390) Epoch: [7][1080/5809] Time 0.134 (0.470) Data 0.067 (0.396) Loss 3.1393 (2.7897) Prec@1 28.125 (33.268) Prec@5 55.469 (63.389) Epoch: [7][1090/5809] Time 0.133 (0.470) Data 0.001 (0.396) Loss 2.6640 (2.7899) Prec@1 36.719 (33.267) Prec@5 67.188 (63.389) Epoch: [7][1100/5809] Time 0.133 (0.470) Data 0.001 (0.397) Loss 2.9110 (2.7905) Prec@1 31.641 (33.252) Prec@5 63.672 (63.382) Epoch: [7][1110/5809] Time 0.363 (0.470) Data 0.303 (0.397) Loss 2.8775 (2.7911) Prec@1 32.422 (33.247) Prec@5 62.500 (63.371) Epoch: [7][1120/5809] Time 0.291 (0.471) Data 0.231 (0.398) Loss 2.8553 (2.7912) Prec@1 27.344 (33.229) Prec@5 66.406 (63.376) Epoch: [7][1130/5809] Time 0.234 (0.471) Data 0.176 (0.398) Loss 2.6463 (2.7912) Prec@1 35.547 (33.236) Prec@5 68.359 (63.374) Epoch: [7][1140/5809] Time 0.591 (0.472) Data 0.531 (0.399) Loss 2.6698 (2.7911) Prec@1 37.891 (33.243) Prec@5 61.719 (63.372) Epoch: [7][1150/5809] Time 0.191 (0.472) Data 0.133 (0.399) Loss 2.9198 (2.7912) Prec@1 31.250 (33.247) Prec@5 59.766 (63.356) Epoch: [7][1160/5809] Time 0.140 (0.473) Data 0.001 (0.400) Loss 2.8348 (2.7908) Prec@1 29.688 (33.252) Prec@5 60.938 (63.364) Epoch: [7][1170/5809] Time 0.252 (0.473) Data 0.193 (0.399) Loss 2.7973 (2.7903) Prec@1 30.469 (33.247) Prec@5 64.844 (63.371) Epoch: [7][1180/5809] Time 0.563 (0.474) Data 0.504 (0.400) Loss 2.6236 (2.7904) Prec@1 39.453 (33.250) Prec@5 66.406 (63.364) Epoch: [7][1190/5809] Time 0.132 (0.473) Data 0.047 (0.400) Loss 2.9088 (2.7902) Prec@1 31.250 (33.255) Prec@5 60.156 (63.364) Epoch: [7][1200/5809] Time 0.325 (0.475) Data 0.261 (0.401) Loss 2.8241 (2.7899) Prec@1 34.375 (33.256) Prec@5 58.594 (63.365) Epoch: [7][1210/5809] Time 0.133 (0.474) Data 0.001 (0.400) Loss 2.4859 (2.7897) Prec@1 40.625 (33.260) Prec@5 69.141 (63.368) Epoch: [7][1220/5809] Time 0.402 (0.474) Data 0.334 (0.400) Loss 2.8938 (2.7901) Prec@1 32.812 (33.267) Prec@5 60.547 (63.362) Epoch: [7][1230/5809] Time 0.133 (0.474) Data 0.001 (0.400) Loss 2.7127 (2.7899) Prec@1 34.766 (33.266) Prec@5 63.672 (63.367) Epoch: [7][1240/5809] Time 0.245 (0.474) Data 0.184 (0.400) Loss 2.8848 (2.7896) Prec@1 32.031 (33.260) Prec@5 58.984 (63.365) Epoch: [7][1250/5809] Time 0.287 (0.474) Data 0.221 (0.400) Loss 2.7496 (2.7895) Prec@1 34.375 (33.274) Prec@5 61.719 (63.364) Epoch: [7][1260/5809] Time 0.345 (0.474) Data 0.286 (0.400) Loss 2.9635 (2.7898) Prec@1 32.031 (33.262) Prec@5 61.328 (63.355) Epoch: [7][1270/5809] Time 0.143 (0.474) Data 0.083 (0.399) Loss 2.8330 (2.7897) Prec@1 31.250 (33.262) Prec@5 61.328 (63.353) Epoch: [7][1280/5809] Time 0.161 (0.474) Data 0.101 (0.400) Loss 2.5226 (2.7895) Prec@1 37.891 (33.265) Prec@5 68.359 (63.356) Epoch: [7][1290/5809] Time 0.216 (0.474) Data 0.157 (0.399) Loss 3.0128 (2.7903) Prec@1 28.125 (33.255) Prec@5 57.422 (63.338) Epoch: [7][1300/5809] Time 0.258 (0.474) Data 0.199 (0.400) Loss 2.8268 (2.7903) Prec@1 33.594 (33.253) Prec@5 64.453 (63.345) Epoch: [7][1310/5809] Time 0.832 (0.476) Data 0.773 (0.402) Loss 2.7488 (2.7908) Prec@1 31.641 (33.248) Prec@5 67.969 (63.339) Epoch: [7][1320/5809] Time 0.137 (0.476) Data 0.073 (0.402) Loss 2.7634 (2.7907) Prec@1 30.469 (33.240) Prec@5 64.453 (63.340) Epoch: [7][1330/5809] Time 0.564 (0.477) Data 0.506 (0.403) Loss 2.5694 (2.7905) Prec@1 38.281 (33.242) Prec@5 66.797 (63.339) Epoch: [7][1340/5809] Time 0.138 (0.478) Data 0.001 (0.404) Loss 2.7706 (2.7904) Prec@1 33.984 (33.239) Prec@5 60.547 (63.338) Epoch: [7][1350/5809] Time 0.933 (0.478) Data 0.869 (0.404) Loss 2.9460 (2.7905) Prec@1 33.594 (33.246) Prec@5 58.594 (63.332) Epoch: [7][1360/5809] Time 0.291 (0.478) Data 0.232 (0.404) Loss 2.7304 (2.7908) Prec@1 35.547 (33.238) Prec@5 62.891 (63.322) Epoch: [7][1370/5809] Time 1.121 (0.479) Data 1.058 (0.405) Loss 2.5840 (2.7905) Prec@1 40.234 (33.255) Prec@5 65.625 (63.323) Epoch: [7][1380/5809] Time 0.133 (0.479) Data 0.001 (0.405) Loss 2.7962 (2.7910) Prec@1 30.078 (33.248) Prec@5 61.719 (63.308) Epoch: [7][1390/5809] Time 1.392 (0.479) Data 1.332 (0.405) Loss 2.7972 (2.7911) Prec@1 33.984 (33.251) Prec@5 63.281 (63.308) Epoch: [7][1400/5809] Time 0.141 (0.479) Data 0.001 (0.405) Loss 2.8945 (2.7910) Prec@1 32.422 (33.260) Prec@5 60.156 (63.304) Epoch: [7][1410/5809] Time 1.071 (0.479) Data 1.011 (0.405) Loss 2.8722 (2.7910) Prec@1 30.078 (33.261) Prec@5 57.422 (63.297) Epoch: [7][1420/5809] Time 0.238 (0.479) Data 0.180 (0.405) Loss 2.8995 (2.7908) Prec@1 31.250 (33.271) Prec@5 63.281 (63.304) Epoch: [7][1430/5809] Time 0.539 (0.479) Data 0.478 (0.405) Loss 2.8157 (2.7909) Prec@1 27.734 (33.270) Prec@5 63.672 (63.298) Epoch: [7][1440/5809] Time 0.661 (0.480) Data 0.601 (0.406) Loss 2.9726 (2.7911) Prec@1 27.734 (33.266) Prec@5 64.844 (63.293) Epoch: [7][1450/5809] Time 0.661 (0.480) Data 0.603 (0.406) Loss 2.7639 (2.7910) Prec@1 32.812 (33.268) Prec@5 64.062 (63.294) Epoch: [7][1460/5809] Time 0.662 (0.480) Data 0.598 (0.406) Loss 2.9873 (2.7911) Prec@1 28.516 (33.271) Prec@5 52.734 (63.291) Epoch: [7][1470/5809] Time 0.439 (0.480) Data 0.379 (0.406) Loss 2.7662 (2.7909) Prec@1 32.812 (33.267) Prec@5 64.844 (63.292) Epoch: [7][1480/5809] Time 1.090 (0.480) Data 1.032 (0.407) Loss 2.8123 (2.7907) Prec@1 33.984 (33.275) Prec@5 63.281 (63.289) Epoch: [7][1490/5809] Time 0.780 (0.480) Data 0.720 (0.407) Loss 2.9039 (2.7906) Prec@1 30.469 (33.276) Prec@5 62.500 (63.291) Epoch: [7][1500/5809] Time 0.939 (0.480) Data 0.880 (0.407) Loss 2.6117 (2.7907) Prec@1 37.500 (33.283) Prec@5 69.141 (63.294) Epoch: [7][1510/5809] Time 0.930 (0.480) Data 0.872 (0.407) Loss 2.7424 (2.7908) Prec@1 33.203 (33.281) Prec@5 62.500 (63.293) Epoch: [7][1520/5809] Time 0.764 (0.481) Data 0.700 (0.407) Loss 2.8542 (2.7911) Prec@1 32.422 (33.274) Prec@5 59.375 (63.278) Epoch: [7][1530/5809] Time 0.577 (0.481) Data 0.513 (0.407) Loss 2.8773 (2.7910) Prec@1 29.688 (33.268) Prec@5 59.766 (63.280) Epoch: [7][1540/5809] Time 0.907 (0.481) Data 0.847 (0.407) Loss 2.9598 (2.7910) Prec@1 35.156 (33.276) Prec@5 60.547 (63.282) Epoch: [7][1550/5809] Time 0.267 (0.481) Data 0.200 (0.407) Loss 2.9144 (2.7913) Prec@1 32.812 (33.277) Prec@5 61.328 (63.274) Epoch: [7][1560/5809] Time 0.878 (0.481) Data 0.816 (0.407) Loss 2.7969 (2.7912) Prec@1 31.641 (33.285) Prec@5 62.109 (63.270) Epoch: [7][1570/5809] Time 0.133 (0.481) Data 0.001 (0.407) Loss 2.8760 (2.7914) Prec@1 32.031 (33.290) Prec@5 63.672 (63.267) Epoch: [7][1580/5809] Time 1.351 (0.481) Data 1.293 (0.407) Loss 2.7131 (2.7912) Prec@1 32.422 (33.287) Prec@5 64.453 (63.275) Epoch: [7][1590/5809] Time 0.132 (0.481) Data 0.043 (0.407) Loss 2.7560 (2.7915) Prec@1 34.375 (33.284) Prec@5 64.453 (63.266) Epoch: [7][1600/5809] Time 1.167 (0.481) Data 1.106 (0.407) Loss 2.8434 (2.7913) Prec@1 32.812 (33.294) Prec@5 61.328 (63.270) Epoch: [7][1610/5809] Time 0.282 (0.481) Data 0.222 (0.407) Loss 2.7254 (2.7913) Prec@1 32.422 (33.289) Prec@5 63.281 (63.267) Epoch: [7][1620/5809] Time 0.864 (0.481) Data 0.802 (0.407) Loss 2.6858 (2.7912) Prec@1 35.547 (33.291) Prec@5 66.797 (63.271) Epoch: [7][1630/5809] Time 0.502 (0.481) Data 0.435 (0.407) Loss 2.7736 (2.7913) Prec@1 35.156 (33.290) Prec@5 62.891 (63.267) Epoch: [7][1640/5809] Time 0.486 (0.482) Data 0.427 (0.408) Loss 2.7804 (2.7912) Prec@1 33.203 (33.285) Prec@5 62.500 (63.264) Epoch: [7][1650/5809] Time 0.667 (0.482) Data 0.606 (0.408) Loss 2.8568 (2.7913) Prec@1 34.766 (33.285) Prec@5 60.156 (63.264) Epoch: [7][1660/5809] Time 0.622 (0.482) Data 0.564 (0.408) Loss 2.7403 (2.7910) Prec@1 34.766 (33.288) Prec@5 65.625 (63.267) Epoch: [7][1670/5809] Time 0.697 (0.482) Data 0.633 (0.408) Loss 2.6162 (2.7908) Prec@1 35.938 (33.286) Prec@5 67.188 (63.268) Epoch: [7][1680/5809] Time 0.607 (0.482) Data 0.548 (0.408) Loss 2.8052 (2.7907) Prec@1 28.516 (33.285) Prec@5 65.625 (63.274) Epoch: [7][1690/5809] Time 0.671 (0.482) Data 0.611 (0.409) Loss 2.7983 (2.7908) Prec@1 31.250 (33.275) Prec@5 62.109 (63.273) Epoch: [7][1700/5809] Time 0.560 (0.482) Data 0.497 (0.409) Loss 2.8069 (2.7909) Prec@1 33.594 (33.277) Prec@5 63.281 (63.274) Epoch: [7][1710/5809] Time 0.133 (0.482) Data 0.001 (0.409) Loss 2.7310 (2.7910) Prec@1 36.719 (33.273) Prec@5 66.406 (63.267) Epoch: [7][1720/5809] Time 0.551 (0.483) Data 0.491 (0.409) Loss 2.7841 (2.7911) Prec@1 37.500 (33.281) Prec@5 65.234 (63.268) Epoch: [7][1730/5809] Time 0.303 (0.483) Data 0.244 (0.409) Loss 2.7781 (2.7907) Prec@1 35.938 (33.292) Prec@5 62.891 (63.275) Epoch: [7][1740/5809] Time 0.532 (0.483) Data 0.474 (0.409) Loss 2.6722 (2.7905) Prec@1 37.891 (33.294) Prec@5 66.016 (63.284) Epoch: [7][1750/5809] Time 0.258 (0.483) Data 0.197 (0.409) Loss 2.8499 (2.7910) Prec@1 31.641 (33.282) Prec@5 60.547 (63.268) Epoch: [7][1760/5809] Time 0.620 (0.483) Data 0.561 (0.410) Loss 2.7213 (2.7910) Prec@1 35.938 (33.288) Prec@5 63.281 (63.262) Epoch: [7][1770/5809] Time 0.197 (0.483) Data 0.130 (0.410) Loss 2.7398 (2.7909) Prec@1 36.328 (33.290) Prec@5 62.500 (63.262) Epoch: [7][1780/5809] Time 0.498 (0.483) Data 0.434 (0.410) Loss 2.7812 (2.7906) Prec@1 36.719 (33.297) Prec@5 63.672 (63.267) Epoch: [7][1790/5809] Time 0.189 (0.483) Data 0.129 (0.410) Loss 2.7982 (2.7906) Prec@1 33.594 (33.299) Prec@5 61.719 (63.269) Epoch: [7][1800/5809] Time 0.124 (0.483) Data 0.040 (0.410) Loss 3.0792 (2.7909) Prec@1 27.734 (33.290) Prec@5 57.422 (63.260) Epoch: [7][1810/5809] Time 0.221 (0.483) Data 0.163 (0.410) Loss 2.8312 (2.7909) Prec@1 35.156 (33.292) Prec@5 59.375 (63.254) Epoch: [7][1820/5809] Time 0.413 (0.484) Data 0.354 (0.411) Loss 2.8706 (2.7904) Prec@1 29.688 (33.304) Prec@5 58.984 (63.268) Epoch: [7][1830/5809] Time 0.232 (0.484) Data 0.172 (0.411) Loss 2.5395 (2.7904) Prec@1 38.672 (33.310) Prec@5 65.625 (63.273) Epoch: [7][1840/5809] Time 0.470 (0.484) Data 0.410 (0.411) Loss 2.6360 (2.7902) Prec@1 34.766 (33.307) Prec@5 67.578 (63.275) Epoch: [7][1850/5809] Time 0.137 (0.484) Data 0.046 (0.411) Loss 2.7428 (2.7903) Prec@1 35.156 (33.312) Prec@5 66.016 (63.276) Epoch: [7][1860/5809] Time 0.819 (0.484) Data 0.758 (0.411) Loss 2.9344 (2.7903) Prec@1 28.906 (33.309) Prec@5 62.500 (63.276) Epoch: [7][1870/5809] Time 0.126 (0.484) Data 0.049 (0.411) Loss 2.9376 (2.7904) Prec@1 26.953 (33.310) Prec@5 61.328 (63.280) Epoch: [7][1880/5809] Time 0.891 (0.484) Data 0.829 (0.411) Loss 2.7122 (2.7902) Prec@1 33.984 (33.318) Prec@5 67.578 (63.282) Epoch: [7][1890/5809] Time 0.158 (0.484) Data 0.099 (0.411) Loss 2.7723 (2.7904) Prec@1 34.766 (33.315) Prec@5 65.234 (63.272) Epoch: [7][1900/5809] Time 0.856 (0.484) Data 0.796 (0.412) Loss 2.6529 (2.7901) Prec@1 37.891 (33.325) Prec@5 61.328 (63.275) Epoch: [7][1910/5809] Time 0.132 (0.485) Data 0.001 (0.412) Loss 2.7606 (2.7903) Prec@1 34.766 (33.319) Prec@5 63.281 (63.273) Epoch: [7][1920/5809] Time 0.553 (0.485) Data 0.490 (0.412) Loss 3.0364 (2.7906) Prec@1 30.078 (33.314) Prec@5 61.328 (63.268) Epoch: [7][1930/5809] Time 0.588 (0.485) Data 0.520 (0.412) Loss 2.5471 (2.7906) Prec@1 38.672 (33.317) Prec@5 69.141 (63.269) Epoch: [7][1940/5809] Time 0.324 (0.485) Data 0.260 (0.412) Loss 2.8059 (2.7908) Prec@1 33.203 (33.313) Prec@5 64.453 (63.266) Epoch: [7][1950/5809] Time 0.653 (0.485) Data 0.594 (0.412) Loss 2.9037 (2.7909) Prec@1 31.641 (33.315) Prec@5 66.016 (63.269) Epoch: [7][1960/5809] Time 0.359 (0.485) Data 0.300 (0.412) Loss 2.8550 (2.7908) Prec@1 32.812 (33.318) Prec@5 60.938 (63.268) Epoch: [7][1970/5809] Time 0.473 (0.485) Data 0.408 (0.413) Loss 3.0994 (2.7908) Prec@1 28.516 (33.322) Prec@5 60.938 (63.268) Epoch: [7][1980/5809] Time 0.133 (0.485) Data 0.001 (0.412) Loss 2.6695 (2.7908) Prec@1 38.281 (33.324) Prec@5 67.969 (63.269) Epoch: [7][1990/5809] Time 0.839 (0.485) Data 0.768 (0.413) Loss 2.7466 (2.7906) Prec@1 29.297 (33.323) Prec@5 66.016 (63.273) Epoch: [7][2000/5809] Time 0.133 (0.485) Data 0.001 (0.412) Loss 2.7125 (2.7906) Prec@1 34.375 (33.320) Prec@5 66.797 (63.275) Epoch: [7][2010/5809] Time 1.395 (0.486) Data 1.329 (0.413) Loss 2.6280 (2.7908) Prec@1 36.719 (33.319) Prec@5 66.406 (63.276) Epoch: [7][2020/5809] Time 0.134 (0.486) Data 0.001 (0.413) Loss 3.0207 (2.7907) Prec@1 28.906 (33.327) Prec@5 60.156 (63.280) Epoch: [7][2030/5809] Time 0.931 (0.486) Data 0.872 (0.413) Loss 2.6770 (2.7906) Prec@1 35.938 (33.336) Prec@5 66.797 (63.280) Epoch: [7][2040/5809] Time 0.569 (0.486) Data 0.509 (0.413) Loss 2.5651 (2.7902) Prec@1 39.844 (33.350) Prec@5 65.625 (63.287) Epoch: [7][2050/5809] Time 0.170 (0.486) Data 0.111 (0.413) Loss 2.9810 (2.7904) Prec@1 28.125 (33.343) Prec@5 61.328 (63.284) Epoch: [7][2060/5809] Time 0.707 (0.486) Data 0.648 (0.413) Loss 2.8020 (2.7902) Prec@1 33.984 (33.346) Prec@5 64.453 (63.289) Epoch: [7][2070/5809] Time 0.134 (0.486) Data 0.043 (0.413) Loss 2.8945 (2.7901) Prec@1 31.250 (33.345) Prec@5 58.594 (63.290) Epoch: [7][2080/5809] Time 0.707 (0.486) Data 0.647 (0.413) Loss 2.6837 (2.7898) Prec@1 35.547 (33.341) Prec@5 65.234 (63.296) Epoch: [7][2090/5809] Time 0.458 (0.486) Data 0.399 (0.413) Loss 2.7550 (2.7896) Prec@1 32.812 (33.343) Prec@5 64.062 (63.295) Epoch: [7][2100/5809] Time 0.617 (0.486) Data 0.557 (0.414) Loss 2.8109 (2.7896) Prec@1 31.250 (33.338) Prec@5 61.719 (63.298) Epoch: [7][2110/5809] Time 0.470 (0.486) Data 0.406 (0.413) Loss 2.8108 (2.7893) Prec@1 34.375 (33.344) Prec@5 61.328 (63.301) Epoch: [7][2120/5809] Time 0.212 (0.486) Data 0.153 (0.413) Loss 2.5099 (2.7892) Prec@1 43.359 (33.346) Prec@5 73.828 (63.303) Epoch: [7][2130/5809] Time 0.133 (0.486) Data 0.001 (0.413) Loss 2.8782 (2.7890) Prec@1 33.594 (33.353) Prec@5 58.984 (63.305) Epoch: [7][2140/5809] Time 0.254 (0.486) Data 0.190 (0.413) Loss 3.0268 (2.7890) Prec@1 31.641 (33.355) Prec@5 58.594 (63.304) Epoch: [7][2150/5809] Time 0.134 (0.486) Data 0.001 (0.414) Loss 3.1009 (2.7892) Prec@1 28.516 (33.353) Prec@5 55.859 (63.294) Epoch: [7][2160/5809] Time 0.375 (0.486) Data 0.316 (0.414) Loss 2.8907 (2.7895) Prec@1 35.547 (33.348) Prec@5 59.766 (63.287) Epoch: [7][2170/5809] Time 0.133 (0.486) Data 0.001 (0.414) Loss 2.7539 (2.7896) Prec@1 30.078 (33.342) Prec@5 64.453 (63.289) Epoch: [7][2180/5809] Time 0.440 (0.486) Data 0.378 (0.414) Loss 2.7204 (2.7894) Prec@1 34.375 (33.347) Prec@5 64.453 (63.293) Epoch: [7][2190/5809] Time 0.133 (0.486) Data 0.072 (0.413) Loss 2.7668 (2.7892) Prec@1 31.641 (33.343) Prec@5 64.062 (63.299) Epoch: [7][2200/5809] Time 0.133 (0.487) Data 0.001 (0.414) Loss 2.6536 (2.7891) Prec@1 37.891 (33.351) Prec@5 65.625 (63.300) Epoch: [7][2210/5809] Time 0.133 (0.486) Data 0.001 (0.414) Loss 2.5975 (2.7889) Prec@1 32.031 (33.354) Prec@5 70.312 (63.308) Epoch: [7][2220/5809] Time 0.126 (0.487) Data 0.045 (0.414) Loss 2.8433 (2.7891) Prec@1 34.766 (33.359) Prec@5 63.281 (63.304) Epoch: [7][2230/5809] Time 0.133 (0.487) Data 0.001 (0.414) Loss 2.7392 (2.7893) Prec@1 33.984 (33.352) Prec@5 62.891 (63.302) Epoch: [7][2240/5809] Time 0.197 (0.487) Data 0.139 (0.414) Loss 2.8347 (2.7890) Prec@1 31.641 (33.357) Prec@5 62.891 (63.311) Epoch: [7][2250/5809] Time 0.493 (0.487) Data 0.435 (0.414) Loss 2.6723 (2.7888) Prec@1 30.859 (33.355) Prec@5 64.062 (63.318) Epoch: [7][2260/5809] Time 0.267 (0.487) Data 0.209 (0.415) Loss 2.7615 (2.7886) Prec@1 32.422 (33.355) Prec@5 65.234 (63.320) Epoch: [7][2270/5809] Time 0.167 (0.487) Data 0.104 (0.414) Loss 2.7697 (2.7888) Prec@1 38.281 (33.353) Prec@5 63.281 (63.314) Epoch: [7][2280/5809] Time 0.134 (0.487) Data 0.001 (0.415) Loss 2.8608 (2.7890) Prec@1 36.719 (33.353) Prec@5 60.547 (63.312) Epoch: [7][2290/5809] Time 0.127 (0.487) Data 0.047 (0.414) Loss 2.8448 (2.7890) Prec@1 32.812 (33.349) Prec@5 58.984 (63.312) Epoch: [7][2300/5809] Time 0.143 (0.488) Data 0.083 (0.415) Loss 2.8434 (2.7891) Prec@1 30.078 (33.346) Prec@5 61.719 (63.311) Epoch: [7][2310/5809] Time 0.162 (0.488) Data 0.103 (0.415) Loss 2.7397 (2.7890) Prec@1 32.422 (33.349) Prec@5 62.500 (63.311) Epoch: [7][2320/5809] Time 0.134 (0.488) Data 0.001 (0.415) Loss 2.8317 (2.7890) Prec@1 36.328 (33.353) Prec@5 66.016 (63.312) Epoch: [7][2330/5809] Time 0.349 (0.488) Data 0.281 (0.415) Loss 2.7677 (2.7889) Prec@1 37.109 (33.356) Prec@5 65.625 (63.317) Epoch: [7][2340/5809] Time 0.410 (0.488) Data 0.351 (0.415) Loss 2.8697 (2.7887) Prec@1 31.641 (33.363) Prec@5 60.156 (63.317) Epoch: [7][2350/5809] Time 0.693 (0.488) Data 0.634 (0.415) Loss 2.6347 (2.7888) Prec@1 32.422 (33.363) Prec@5 70.703 (63.318) Epoch: [7][2360/5809] Time 1.120 (0.488) Data 1.061 (0.415) Loss 3.0033 (2.7889) Prec@1 29.688 (33.359) Prec@5 60.156 (63.317) Epoch: [7][2370/5809] Time 0.592 (0.488) Data 0.530 (0.415) Loss 2.9868 (2.7891) Prec@1 31.250 (33.358) Prec@5 60.547 (63.312) Epoch: [7][2380/5809] Time 0.667 (0.488) Data 0.600 (0.415) Loss 2.8608 (2.7890) Prec@1 32.422 (33.358) Prec@5 60.156 (63.309) Epoch: [7][2390/5809] Time 0.885 (0.488) Data 0.824 (0.416) Loss 2.5597 (2.7891) Prec@1 36.719 (33.356) Prec@5 69.531 (63.310) Epoch: [7][2400/5809] Time 0.645 (0.489) Data 0.585 (0.416) Loss 2.8853 (2.7890) Prec@1 30.469 (33.358) Prec@5 62.891 (63.313) Epoch: [7][2410/5809] Time 1.057 (0.489) Data 0.998 (0.416) Loss 2.6728 (2.7890) Prec@1 33.984 (33.360) Prec@5 68.750 (63.311) Epoch: [7][2420/5809] Time 0.618 (0.489) Data 0.560 (0.417) Loss 2.6411 (2.7889) Prec@1 35.156 (33.362) Prec@5 64.844 (63.311) Epoch: [7][2430/5809] Time 0.504 (0.490) Data 0.445 (0.417) Loss 2.7589 (2.7887) Prec@1 32.812 (33.366) Prec@5 64.844 (63.314) Epoch: [7][2440/5809] Time 0.352 (0.490) Data 0.292 (0.417) Loss 2.8590 (2.7892) Prec@1 34.766 (33.360) Prec@5 62.500 (63.307) Epoch: [7][2450/5809] Time 0.673 (0.490) Data 0.614 (0.418) Loss 2.8922 (2.7893) Prec@1 33.984 (33.356) Prec@5 58.203 (63.308) Epoch: [7][2460/5809] Time 0.533 (0.490) Data 0.474 (0.418) Loss 2.6674 (2.7892) Prec@1 34.375 (33.359) Prec@5 66.016 (63.306) Epoch: [7][2470/5809] Time 0.669 (0.491) Data 0.610 (0.418) Loss 2.7878 (2.7893) Prec@1 29.688 (33.356) Prec@5 61.328 (63.303) Epoch: [7][2480/5809] Time 0.562 (0.491) Data 0.503 (0.418) Loss 2.7798 (2.7892) Prec@1 33.594 (33.358) Prec@5 60.547 (63.303) Epoch: [7][2490/5809] Time 0.253 (0.491) Data 0.195 (0.419) Loss 2.6402 (2.7891) Prec@1 35.547 (33.361) Prec@5 67.188 (63.308) Epoch: [7][2500/5809] Time 0.670 (0.491) Data 0.610 (0.419) Loss 2.7496 (2.7890) Prec@1 33.594 (33.361) Prec@5 63.672 (63.309) Epoch: [7][2510/5809] Time 0.131 (0.491) Data 0.001 (0.419) Loss 2.9178 (2.7891) Prec@1 32.422 (33.359) Prec@5 60.156 (63.303) Epoch: [7][2520/5809] Time 0.136 (0.492) Data 0.001 (0.419) Loss 2.8917 (2.7892) Prec@1 30.859 (33.358) Prec@5 62.891 (63.306) Epoch: [7][2530/5809] Time 0.133 (0.492) Data 0.045 (0.419) Loss 2.8885 (2.7890) Prec@1 29.297 (33.359) Prec@5 58.594 (63.310) Epoch: [7][2540/5809] Time 0.133 (0.492) Data 0.001 (0.419) Loss 2.8186 (2.7891) Prec@1 34.766 (33.359) Prec@5 64.062 (63.307) Epoch: [7][2550/5809] Time 0.136 (0.492) Data 0.001 (0.419) Loss 2.7983 (2.7892) Prec@1 33.594 (33.359) Prec@5 62.500 (63.302) Epoch: [7][2560/5809] Time 0.592 (0.492) Data 0.534 (0.420) Loss 2.7730 (2.7892) Prec@1 31.250 (33.366) Prec@5 65.234 (63.304) Epoch: [7][2570/5809] Time 0.133 (0.492) Data 0.049 (0.419) Loss 2.8838 (2.7891) Prec@1 32.031 (33.368) Prec@5 63.672 (63.307) Epoch: [7][2580/5809] Time 0.133 (0.493) Data 0.001 (0.420) Loss 2.8451 (2.7891) Prec@1 32.031 (33.366) Prec@5 60.547 (63.311) Epoch: [7][2590/5809] Time 0.133 (0.492) Data 0.001 (0.420) Loss 2.7470 (2.7891) Prec@1 32.031 (33.370) Prec@5 67.188 (63.308) Epoch: [7][2600/5809] Time 0.371 (0.493) Data 0.310 (0.420) Loss 2.8941 (2.7888) Prec@1 31.250 (33.374) Prec@5 60.156 (63.313) Epoch: [7][2610/5809] Time 0.417 (0.493) Data 0.358 (0.420) Loss 2.7158 (2.7885) Prec@1 35.156 (33.382) Prec@5 66.797 (63.320) Epoch: [7][2620/5809] Time 0.475 (0.493) Data 0.417 (0.420) Loss 2.8373 (2.7887) Prec@1 33.203 (33.379) Prec@5 63.281 (63.316) Epoch: [7][2630/5809] Time 0.500 (0.493) Data 0.441 (0.420) Loss 2.8764 (2.7888) Prec@1 28.906 (33.373) Prec@5 63.672 (63.313) Epoch: [7][2640/5809] Time 0.228 (0.493) Data 0.169 (0.421) Loss 2.6499 (2.7888) Prec@1 35.156 (33.373) Prec@5 67.188 (63.315) Epoch: [7][2650/5809] Time 0.173 (0.493) Data 0.113 (0.421) Loss 3.0265 (2.7890) Prec@1 27.344 (33.366) Prec@5 58.203 (63.309) Epoch: [7][2660/5809] Time 0.134 (0.493) Data 0.050 (0.421) Loss 3.0619 (2.7890) Prec@1 27.734 (33.368) Prec@5 59.375 (63.309) Epoch: [7][2670/5809] Time 0.133 (0.493) Data 0.001 (0.421) Loss 2.9329 (2.7892) Prec@1 34.766 (33.363) Prec@5 62.109 (63.307) Epoch: [7][2680/5809] Time 0.391 (0.494) Data 0.327 (0.421) Loss 2.8073 (2.7893) Prec@1 36.719 (33.363) Prec@5 66.016 (63.308) Epoch: [7][2690/5809] Time 0.334 (0.494) Data 0.275 (0.421) Loss 2.7576 (2.7893) Prec@1 34.375 (33.363) Prec@5 64.062 (63.307) Epoch: [7][2700/5809] Time 0.573 (0.494) Data 0.506 (0.422) Loss 2.8301 (2.7893) Prec@1 29.688 (33.361) Prec@5 62.891 (63.308) Epoch: [7][2710/5809] Time 0.134 (0.494) Data 0.001 (0.421) Loss 2.6602 (2.7893) Prec@1 34.375 (33.356) Prec@5 63.281 (63.306) Epoch: [7][2720/5809] Time 0.642 (0.495) Data 0.583 (0.422) Loss 2.8130 (2.7892) Prec@1 31.641 (33.355) Prec@5 64.453 (63.310) Epoch: [7][2730/5809] Time 0.141 (0.495) Data 0.080 (0.422) Loss 2.8194 (2.7893) Prec@1 27.734 (33.350) Prec@5 62.109 (63.305) Epoch: [7][2740/5809] Time 0.769 (0.495) Data 0.704 (0.422) Loss 2.8188 (2.7894) Prec@1 35.547 (33.352) Prec@5 61.328 (63.302) Epoch: [7][2750/5809] Time 0.127 (0.495) Data 0.048 (0.422) Loss 2.8688 (2.7893) Prec@1 36.328 (33.357) Prec@5 59.375 (63.302) Epoch: [7][2760/5809] Time 1.197 (0.495) Data 1.133 (0.422) Loss 2.8290 (2.7895) Prec@1 34.375 (33.354) Prec@5 62.891 (63.298) Epoch: [7][2770/5809] Time 0.134 (0.495) Data 0.001 (0.422) Loss 2.6850 (2.7895) Prec@1 33.594 (33.355) Prec@5 66.016 (63.300) Epoch: [7][2780/5809] Time 0.684 (0.495) Data 0.625 (0.422) Loss 2.7816 (2.7897) Prec@1 36.328 (33.350) Prec@5 65.625 (63.300) Epoch: [7][2790/5809] Time 0.131 (0.495) Data 0.001 (0.422) Loss 2.7225 (2.7898) Prec@1 33.984 (33.351) Prec@5 61.719 (63.294) Epoch: [7][2800/5809] Time 0.134 (0.495) Data 0.067 (0.422) Loss 2.8983 (2.7898) Prec@1 30.078 (33.350) Prec@5 57.812 (63.290) Epoch: [7][2810/5809] Time 0.490 (0.495) Data 0.431 (0.423) Loss 2.6130 (2.7895) Prec@1 36.328 (33.353) Prec@5 66.016 (63.298) Epoch: [7][2820/5809] Time 0.371 (0.496) Data 0.311 (0.423) Loss 2.7031 (2.7892) Prec@1 33.594 (33.358) Prec@5 68.359 (63.305) Epoch: [7][2830/5809] Time 0.421 (0.496) Data 0.361 (0.423) Loss 2.7960 (2.7894) Prec@1 31.250 (33.357) Prec@5 64.062 (63.305) Epoch: [7][2840/5809] Time 0.133 (0.496) Data 0.001 (0.423) Loss 2.9035 (2.7894) Prec@1 33.203 (33.356) Prec@5 62.891 (63.308) Epoch: [7][2850/5809] Time 0.212 (0.496) Data 0.152 (0.423) Loss 2.7922 (2.7894) Prec@1 30.859 (33.355) Prec@5 62.891 (63.309) Epoch: [7][2860/5809] Time 0.134 (0.496) Data 0.001 (0.423) Loss 2.9810 (2.7897) Prec@1 30.859 (33.347) Prec@5 62.109 (63.307) Epoch: [7][2870/5809] Time 0.134 (0.497) Data 0.001 (0.423) Loss 2.9459 (2.7898) Prec@1 28.906 (33.348) Prec@5 58.203 (63.304) Epoch: [7][2880/5809] Time 0.278 (0.497) Data 0.219 (0.424) Loss 2.9019 (2.7900) Prec@1 30.469 (33.343) Prec@5 59.766 (63.299) Epoch: [7][2890/5809] Time 0.301 (0.497) Data 0.241 (0.424) Loss 2.6641 (2.7899) Prec@1 35.156 (33.343) Prec@5 64.453 (63.302) Epoch: [7][2900/5809] Time 0.530 (0.497) Data 0.472 (0.424) Loss 2.7101 (2.7902) Prec@1 35.547 (33.333) Prec@5 63.281 (63.298) Epoch: [7][2910/5809] Time 0.261 (0.497) Data 0.202 (0.424) Loss 2.9812 (2.7900) Prec@1 30.469 (33.333) Prec@5 61.328 (63.302) Epoch: [7][2920/5809] Time 0.134 (0.497) Data 0.073 (0.424) Loss 2.9497 (2.7899) Prec@1 26.953 (33.331) Prec@5 60.547 (63.303) Epoch: [7][2930/5809] Time 0.260 (0.497) Data 0.202 (0.424) Loss 2.7102 (2.7898) Prec@1 33.203 (33.332) Prec@5 62.891 (63.304) Epoch: [7][2940/5809] Time 0.161 (0.497) Data 0.101 (0.424) Loss 2.9535 (2.7897) Prec@1 28.906 (33.333) Prec@5 59.375 (63.302) Epoch: [7][2950/5809] Time 0.134 (0.497) Data 0.001 (0.424) Loss 2.8713 (2.7899) Prec@1 31.250 (33.328) Prec@5 63.672 (63.303) Epoch: [7][2960/5809] Time 0.360 (0.497) Data 0.302 (0.424) Loss 2.9821 (2.7899) Prec@1 27.344 (33.324) Prec@5 60.547 (63.303) Epoch: [7][2970/5809] Time 0.132 (0.497) Data 0.060 (0.424) Loss 2.6949 (2.7899) Prec@1 32.422 (33.321) Prec@5 62.891 (63.304) Epoch: [7][2980/5809] Time 0.369 (0.498) Data 0.310 (0.425) Loss 2.8651 (2.7900) Prec@1 32.422 (33.317) Prec@5 60.547 (63.302) Epoch: [7][2990/5809] Time 0.598 (0.498) Data 0.538 (0.425) Loss 2.8436 (2.7901) Prec@1 33.984 (33.315) Prec@5 62.500 (63.302) Epoch: [7][3000/5809] Time 0.630 (0.498) Data 0.572 (0.425) Loss 2.4800 (2.7901) Prec@1 37.891 (33.315) Prec@5 69.531 (63.302) Epoch: [7][3010/5809] Time 0.962 (0.498) Data 0.903 (0.425) Loss 2.7520 (2.7901) Prec@1 35.938 (33.315) Prec@5 63.672 (63.304) Epoch: [7][3020/5809] Time 0.492 (0.498) Data 0.427 (0.425) Loss 2.8314 (2.7903) Prec@1 32.031 (33.311) Prec@5 60.156 (63.298) Epoch: [7][3030/5809] Time 0.619 (0.498) Data 0.561 (0.425) Loss 2.6496 (2.7902) Prec@1 32.031 (33.308) Prec@5 67.188 (63.302) Epoch: [7][3040/5809] Time 0.858 (0.499) Data 0.799 (0.426) Loss 2.8743 (2.7903) Prec@1 33.594 (33.302) Prec@5 58.984 (63.295) Epoch: [7][3050/5809] Time 0.513 (0.499) Data 0.450 (0.426) Loss 2.9225 (2.7904) Prec@1 33.203 (33.303) Prec@5 62.500 (63.294) Epoch: [7][3060/5809] Time 0.610 (0.499) Data 0.551 (0.426) Loss 2.9254 (2.7906) Prec@1 28.906 (33.301) Prec@5 60.156 (63.291) Epoch: [7][3070/5809] Time 0.474 (0.499) Data 0.416 (0.426) Loss 2.8321 (2.7908) Prec@1 32.812 (33.299) Prec@5 59.766 (63.285) Epoch: [7][3080/5809] Time 0.257 (0.499) Data 0.194 (0.426) Loss 2.7833 (2.7907) Prec@1 32.422 (33.302) Prec@5 64.453 (63.286) Epoch: [7][3090/5809] Time 0.526 (0.499) Data 0.466 (0.426) Loss 2.9454 (2.7908) Prec@1 30.469 (33.302) Prec@5 58.594 (63.283) Epoch: [7][3100/5809] Time 0.133 (0.499) Data 0.001 (0.427) Loss 2.5780 (2.7907) Prec@1 34.766 (33.303) Prec@5 64.453 (63.286) Epoch: [7][3110/5809] Time 0.608 (0.499) Data 0.549 (0.427) Loss 2.7809 (2.7906) Prec@1 36.328 (33.301) Prec@5 60.938 (63.285) Epoch: [7][3120/5809] Time 0.187 (0.499) Data 0.127 (0.427) Loss 2.6534 (2.7906) Prec@1 35.547 (33.300) Prec@5 67.578 (63.286) Epoch: [7][3130/5809] Time 0.545 (0.499) Data 0.485 (0.427) Loss 2.6655 (2.7905) Prec@1 35.547 (33.302) Prec@5 62.891 (63.283) Epoch: [7][3140/5809] Time 0.245 (0.499) Data 0.182 (0.427) Loss 2.8727 (2.7908) Prec@1 32.422 (33.298) Prec@5 60.938 (63.277) Epoch: [7][3150/5809] Time 0.133 (0.500) Data 0.061 (0.427) Loss 2.7226 (2.7908) Prec@1 39.062 (33.300) Prec@5 61.719 (63.275) Epoch: [7][3160/5809] Time 0.634 (0.500) Data 0.575 (0.427) Loss 2.8646 (2.7907) Prec@1 33.203 (33.297) Prec@5 65.625 (63.279) Epoch: [7][3170/5809] Time 0.354 (0.500) Data 0.296 (0.427) Loss 2.6638 (2.7907) Prec@1 35.938 (33.293) Prec@5 65.234 (63.277) Epoch: [7][3180/5809] Time 0.702 (0.500) Data 0.640 (0.427) Loss 2.8633 (2.7908) Prec@1 34.766 (33.292) Prec@5 64.453 (63.273) Epoch: [7][3190/5809] Time 0.134 (0.500) Data 0.001 (0.427) Loss 2.8884 (2.7910) Prec@1 32.422 (33.292) Prec@5 59.766 (63.267) Epoch: [7][3200/5809] Time 0.677 (0.500) Data 0.619 (0.427) Loss 2.7060 (2.7911) Prec@1 33.203 (33.289) Prec@5 64.453 (63.265) Epoch: [7][3210/5809] Time 0.243 (0.500) Data 0.180 (0.428) Loss 2.7677 (2.7910) Prec@1 33.594 (33.287) Prec@5 62.109 (63.267) Epoch: [7][3220/5809] Time 0.455 (0.500) Data 0.397 (0.428) Loss 2.6656 (2.7907) Prec@1 34.375 (33.292) Prec@5 69.531 (63.272) Epoch: [7][3230/5809] Time 0.178 (0.500) Data 0.119 (0.428) Loss 2.8449 (2.7906) Prec@1 32.422 (33.293) Prec@5 60.938 (63.273) Epoch: [7][3240/5809] Time 0.295 (0.500) Data 0.236 (0.428) Loss 3.0075 (2.7906) Prec@1 25.781 (33.293) Prec@5 61.328 (63.274) Epoch: [7][3250/5809] Time 0.318 (0.500) Data 0.258 (0.428) Loss 2.8139 (2.7903) Prec@1 31.641 (33.296) Prec@5 59.375 (63.277) Epoch: [7][3260/5809] Time 0.345 (0.500) Data 0.284 (0.428) Loss 2.6262 (2.7903) Prec@1 35.938 (33.294) Prec@5 66.016 (63.276) Epoch: [7][3270/5809] Time 0.132 (0.501) Data 0.001 (0.428) Loss 2.8335 (2.7903) Prec@1 33.203 (33.293) Prec@5 62.891 (63.278) Epoch: [7][3280/5809] Time 0.360 (0.501) Data 0.300 (0.428) Loss 2.9847 (2.7903) Prec@1 28.516 (33.291) Prec@5 57.812 (63.277) Epoch: [7][3290/5809] Time 0.656 (0.501) Data 0.590 (0.428) Loss 2.6912 (2.7904) Prec@1 33.594 (33.292) Prec@5 64.453 (63.274) Epoch: [7][3300/5809] Time 0.461 (0.501) Data 0.402 (0.429) Loss 2.9375 (2.7903) Prec@1 32.422 (33.294) Prec@5 62.891 (63.275) Epoch: [7][3310/5809] Time 1.088 (0.501) Data 1.028 (0.429) Loss 2.8835 (2.7904) Prec@1 26.562 (33.289) Prec@5 62.500 (63.274) Epoch: [7][3320/5809] Time 0.172 (0.501) Data 0.107 (0.429) Loss 2.7080 (2.7903) Prec@1 35.938 (33.292) Prec@5 65.625 (63.276) Epoch: [7][3330/5809] Time 1.225 (0.501) Data 1.167 (0.429) Loss 2.7088 (2.7904) Prec@1 34.766 (33.290) Prec@5 68.359 (63.276) Epoch: [7][3340/5809] Time 0.349 (0.501) Data 0.289 (0.429) Loss 2.7856 (2.7902) Prec@1 32.422 (33.291) Prec@5 64.062 (63.282) Epoch: [7][3350/5809] Time 1.060 (0.502) Data 1.001 (0.429) Loss 2.6910 (2.7901) Prec@1 31.250 (33.295) Prec@5 65.234 (63.285) Epoch: [7][3360/5809] Time 0.732 (0.502) Data 0.670 (0.429) Loss 2.7419 (2.7899) Prec@1 34.375 (33.298) Prec@5 62.500 (63.290) Epoch: [7][3370/5809] Time 1.080 (0.502) Data 1.021 (0.429) Loss 2.7536 (2.7899) Prec@1 34.766 (33.295) Prec@5 62.500 (63.292) Epoch: [7][3380/5809] Time 0.309 (0.502) Data 0.249 (0.430) Loss 2.6890 (2.7898) Prec@1 31.250 (33.295) Prec@5 64.844 (63.295) Epoch: [7][3390/5809] Time 1.138 (0.502) Data 1.080 (0.430) Loss 2.6191 (2.7897) Prec@1 32.031 (33.294) Prec@5 68.750 (63.299) Epoch: [7][3400/5809] Time 0.241 (0.502) Data 0.182 (0.430) Loss 2.7335 (2.7896) Prec@1 36.719 (33.296) Prec@5 62.500 (63.299) Epoch: [7][3410/5809] Time 1.347 (0.502) Data 1.281 (0.430) Loss 2.7579 (2.7895) Prec@1 33.203 (33.300) Prec@5 67.188 (63.305) Epoch: [7][3420/5809] Time 0.259 (0.502) Data 0.200 (0.430) Loss 2.7957 (2.7896) Prec@1 31.641 (33.297) Prec@5 62.500 (63.304) Epoch: [7][3430/5809] Time 1.252 (0.502) Data 1.190 (0.430) Loss 2.8775 (2.7896) Prec@1 32.031 (33.294) Prec@5 62.109 (63.302) Epoch: [7][3440/5809] Time 0.132 (0.502) Data 0.001 (0.430) Loss 2.9715 (2.7897) Prec@1 35.156 (33.293) Prec@5 58.594 (63.298) Epoch: [7][3450/5809] Time 1.030 (0.503) Data 0.968 (0.430) Loss 2.6701 (2.7899) Prec@1 35.156 (33.289) Prec@5 66.797 (63.294) Epoch: [7][3460/5809] Time 0.183 (0.502) Data 0.120 (0.430) Loss 2.8705 (2.7897) Prec@1 30.469 (33.295) Prec@5 60.547 (63.298) Epoch: [7][3470/5809] Time 0.962 (0.503) Data 0.895 (0.430) Loss 2.8234 (2.7897) Prec@1 32.031 (33.297) Prec@5 59.766 (63.298) Epoch: [7][3480/5809] Time 0.133 (0.503) Data 0.001 (0.430) Loss 2.6970 (2.7897) Prec@1 33.594 (33.294) Prec@5 64.844 (63.300) Epoch: [7][3490/5809] Time 0.986 (0.503) Data 0.927 (0.431) Loss 2.8139 (2.7895) Prec@1 35.938 (33.298) Prec@5 63.672 (63.303) Epoch: [7][3500/5809] Time 0.380 (0.503) Data 0.321 (0.431) Loss 2.8091 (2.7896) Prec@1 32.031 (33.297) Prec@5 62.109 (63.300) Epoch: [7][3510/5809] Time 1.495 (0.503) Data 1.432 (0.431) Loss 2.7318 (2.7896) Prec@1 34.766 (33.295) Prec@5 61.719 (63.304) Epoch: [7][3520/5809] Time 0.450 (0.503) Data 0.391 (0.431) Loss 2.5364 (2.7896) Prec@1 39.062 (33.296) Prec@5 71.094 (63.307) Epoch: [7][3530/5809] Time 1.526 (0.503) Data 1.456 (0.431) Loss 2.7565 (2.7896) Prec@1 36.719 (33.297) Prec@5 61.328 (63.307) Epoch: [7][3540/5809] Time 0.528 (0.503) Data 0.458 (0.431) Loss 2.5189 (2.7894) Prec@1 37.891 (33.301) Prec@5 68.359 (63.310) Epoch: [7][3550/5809] Time 1.227 (0.504) Data 1.167 (0.431) Loss 2.7252 (2.7891) Prec@1 34.375 (33.304) Prec@5 66.016 (63.315) Epoch: [7][3560/5809] Time 0.522 (0.504) Data 0.463 (0.431) Loss 2.9741 (2.7893) Prec@1 28.516 (33.302) Prec@5 58.984 (63.312) Epoch: [7][3570/5809] Time 1.380 (0.504) Data 1.321 (0.432) Loss 2.9140 (2.7892) Prec@1 28.906 (33.304) Prec@5 61.328 (63.313) Epoch: [7][3580/5809] Time 0.651 (0.504) Data 0.592 (0.432) Loss 2.4925 (2.7890) Prec@1 36.719 (33.307) Prec@5 71.484 (63.321) Epoch: [7][3590/5809] Time 1.480 (0.504) Data 1.412 (0.432) Loss 2.7335 (2.7891) Prec@1 31.641 (33.305) Prec@5 64.453 (63.320) Epoch: [7][3600/5809] Time 0.152 (0.504) Data 0.093 (0.432) Loss 2.9993 (2.7891) Prec@1 30.859 (33.303) Prec@5 59.375 (63.319) Epoch: [7][3610/5809] Time 1.136 (0.504) Data 1.078 (0.432) Loss 2.7998 (2.7893) Prec@1 33.203 (33.296) Prec@5 63.672 (63.314) Epoch: [7][3620/5809] Time 0.134 (0.504) Data 0.001 (0.432) Loss 2.8087 (2.7892) Prec@1 32.422 (33.295) Prec@5 64.453 (63.319) Epoch: [7][3630/5809] Time 1.314 (0.504) Data 1.252 (0.432) Loss 2.8111 (2.7892) Prec@1 34.375 (33.297) Prec@5 62.500 (63.319) Epoch: [7][3640/5809] Time 0.133 (0.505) Data 0.001 (0.432) Loss 2.7730 (2.7893) Prec@1 32.812 (33.296) Prec@5 67.188 (63.321) Epoch: [7][3650/5809] Time 0.842 (0.505) Data 0.781 (0.432) Loss 2.6088 (2.7891) Prec@1 38.672 (33.296) Prec@5 64.844 (63.324) Epoch: [7][3660/5809] Time 0.141 (0.505) Data 0.001 (0.432) Loss 2.9421 (2.7890) Prec@1 32.812 (33.299) Prec@5 58.594 (63.325) Epoch: [7][3670/5809] Time 0.903 (0.505) Data 0.843 (0.433) Loss 2.7566 (2.7889) Prec@1 32.812 (33.301) Prec@5 63.281 (63.324) Epoch: [7][3680/5809] Time 0.394 (0.505) Data 0.334 (0.433) Loss 2.8084 (2.7890) Prec@1 35.156 (33.300) Prec@5 61.328 (63.320) Epoch: [7][3690/5809] Time 0.807 (0.505) Data 0.747 (0.433) Loss 2.9319 (2.7889) Prec@1 33.594 (33.303) Prec@5 56.641 (63.320) Epoch: [7][3700/5809] Time 0.661 (0.505) Data 0.597 (0.433) Loss 2.7573 (2.7889) Prec@1 36.719 (33.300) Prec@5 62.891 (63.318) Epoch: [7][3710/5809] Time 1.115 (0.506) Data 1.055 (0.433) Loss 2.9375 (2.7891) Prec@1 27.344 (33.296) Prec@5 63.672 (63.317) Epoch: [7][3720/5809] Time 0.418 (0.506) Data 0.358 (0.433) Loss 2.9913 (2.7890) Prec@1 29.688 (33.296) Prec@5 58.984 (63.318) Epoch: [7][3730/5809] Time 1.096 (0.506) Data 1.032 (0.434) Loss 2.7932 (2.7888) Prec@1 38.281 (33.301) Prec@5 66.016 (63.322) Epoch: [7][3740/5809] Time 0.672 (0.506) Data 0.613 (0.434) Loss 2.6205 (2.7889) Prec@1 38.672 (33.301) Prec@5 65.234 (63.321) Epoch: [7][3750/5809] Time 1.002 (0.506) Data 0.941 (0.434) Loss 2.7184 (2.7889) Prec@1 35.547 (33.300) Prec@5 68.359 (63.321) Epoch: [7][3760/5809] Time 0.714 (0.506) Data 0.654 (0.434) Loss 2.8968 (2.7888) Prec@1 32.031 (33.297) Prec@5 63.672 (63.323) Epoch: [7][3770/5809] Time 0.736 (0.507) Data 0.677 (0.434) Loss 2.6455 (2.7886) Prec@1 36.328 (33.299) Prec@5 64.453 (63.326) Epoch: [7][3780/5809] Time 1.573 (0.507) Data 1.513 (0.435) Loss 2.9439 (2.7887) Prec@1 27.344 (33.295) Prec@5 60.156 (63.327) Epoch: [7][3790/5809] Time 0.266 (0.507) Data 0.208 (0.435) Loss 2.6748 (2.7887) Prec@1 37.891 (33.293) Prec@5 65.625 (63.328) Epoch: [7][3800/5809] Time 1.280 (0.507) Data 1.220 (0.435) Loss 2.7245 (2.7886) Prec@1 34.766 (33.295) Prec@5 67.578 (63.328) Epoch: [7][3810/5809] Time 0.133 (0.508) Data 0.001 (0.435) Loss 2.8191 (2.7888) Prec@1 33.594 (33.293) Prec@5 63.672 (63.324) Epoch: [7][3820/5809] Time 1.273 (0.508) Data 1.215 (0.436) Loss 2.8891 (2.7887) Prec@1 28.125 (33.290) Prec@5 56.641 (63.324) Epoch: [7][3830/5809] Time 0.385 (0.508) Data 0.325 (0.436) Loss 2.8198 (2.7888) Prec@1 30.078 (33.287) Prec@5 63.281 (63.324) Epoch: [7][3840/5809] Time 1.556 (0.509) Data 1.487 (0.437) Loss 2.5847 (2.7888) Prec@1 38.672 (33.288) Prec@5 68.359 (63.323) Epoch: [7][3850/5809] Time 0.131 (0.509) Data 0.045 (0.437) Loss 2.6083 (2.7886) Prec@1 32.812 (33.290) Prec@5 64.453 (63.327) Epoch: [7][3860/5809] Time 1.124 (0.509) Data 1.064 (0.437) Loss 2.6130 (2.7886) Prec@1 37.891 (33.292) Prec@5 66.016 (63.327) Epoch: [7][3870/5809] Time 0.133 (0.510) Data 0.001 (0.437) Loss 2.8098 (2.7885) Prec@1 34.766 (33.298) Prec@5 62.500 (63.329) Epoch: [7][3880/5809] Time 1.025 (0.510) Data 0.961 (0.438) Loss 2.6757 (2.7886) Prec@1 41.797 (33.301) Prec@5 67.578 (63.328) Epoch: [7][3890/5809] Time 0.128 (0.510) Data 0.046 (0.438) Loss 2.8262 (2.7888) Prec@1 32.422 (33.300) Prec@5 61.719 (63.324) Epoch: [7][3900/5809] Time 0.133 (0.511) Data 0.001 (0.438) Loss 2.8967 (2.7888) Prec@1 28.906 (33.298) Prec@5 59.766 (63.324) Epoch: [7][3910/5809] Time 0.339 (0.511) Data 0.276 (0.439) Loss 2.6356 (2.7886) Prec@1 37.500 (33.300) Prec@5 66.406 (63.326) Epoch: [7][3920/5809] Time 0.133 (0.511) Data 0.054 (0.439) Loss 2.7452 (2.7886) Prec@1 35.938 (33.303) Prec@5 64.844 (63.328) Epoch: [7][3930/5809] Time 0.436 (0.512) Data 0.377 (0.439) Loss 2.7932 (2.7886) Prec@1 32.812 (33.302) Prec@5 66.406 (63.329) Epoch: [7][3940/5809] Time 0.367 (0.512) Data 0.309 (0.440) Loss 2.8106 (2.7886) Prec@1 31.250 (33.301) Prec@5 60.547 (63.328) Epoch: [7][3950/5809] Time 0.343 (0.512) Data 0.283 (0.440) Loss 2.5962 (2.7884) Prec@1 39.453 (33.304) Prec@5 66.797 (63.333) Epoch: [7][3960/5809] Time 0.292 (0.512) Data 0.232 (0.440) Loss 2.7143 (2.7885) Prec@1 37.109 (33.304) Prec@5 65.625 (63.333) Epoch: [7][3970/5809] Time 0.871 (0.513) Data 0.813 (0.441) Loss 2.7264 (2.7885) Prec@1 39.062 (33.302) Prec@5 66.797 (63.334) Epoch: [7][3980/5809] Time 0.431 (0.513) Data 0.368 (0.441) Loss 2.7709 (2.7883) Prec@1 31.641 (33.306) Prec@5 59.766 (63.336) Epoch: [7][3990/5809] Time 0.279 (0.514) Data 0.215 (0.441) Loss 2.9503 (2.7884) Prec@1 30.469 (33.305) Prec@5 59.766 (63.336) Epoch: [7][4000/5809] Time 0.178 (0.514) Data 0.119 (0.441) Loss 2.7341 (2.7884) Prec@1 36.328 (33.306) Prec@5 58.984 (63.335) Epoch: [7][4010/5809] Time 0.321 (0.514) Data 0.258 (0.442) Loss 2.7546 (2.7882) Prec@1 34.766 (33.307) Prec@5 62.500 (63.339) Epoch: [7][4020/5809] Time 0.598 (0.514) Data 0.540 (0.442) Loss 2.8657 (2.7881) Prec@1 29.688 (33.312) Prec@5 62.109 (63.341) Epoch: [7][4030/5809] Time 0.142 (0.515) Data 0.001 (0.442) Loss 2.7205 (2.7879) Prec@1 33.594 (33.314) Prec@5 64.062 (63.346) Epoch: [7][4040/5809] Time 0.595 (0.515) Data 0.536 (0.443) Loss 2.8647 (2.7879) Prec@1 31.250 (33.313) Prec@5 60.156 (63.345) Epoch: [7][4050/5809] Time 0.681 (0.515) Data 0.618 (0.443) Loss 2.8695 (2.7879) Prec@1 32.812 (33.311) Prec@5 62.500 (63.346) Epoch: [7][4060/5809] Time 0.369 (0.515) Data 0.310 (0.443) Loss 2.9030 (2.7879) Prec@1 30.469 (33.312) Prec@5 61.719 (63.347) Epoch: [7][4070/5809] Time 0.455 (0.516) Data 0.394 (0.444) Loss 2.7928 (2.7881) Prec@1 33.203 (33.308) Prec@5 64.844 (63.343) Epoch: [7][4080/5809] Time 0.498 (0.516) Data 0.438 (0.444) Loss 2.4925 (2.7881) Prec@1 37.500 (33.307) Prec@5 69.141 (63.343) Epoch: [7][4090/5809] Time 0.538 (0.517) Data 0.474 (0.445) Loss 2.7610 (2.7879) Prec@1 32.422 (33.309) Prec@5 63.672 (63.346) Epoch: [7][4100/5809] Time 0.241 (0.517) Data 0.182 (0.445) Loss 2.7364 (2.7878) Prec@1 33.594 (33.309) Prec@5 62.500 (63.346) Epoch: [7][4110/5809] Time 1.194 (0.517) Data 1.128 (0.445) Loss 2.8311 (2.7879) Prec@1 32.812 (33.308) Prec@5 62.500 (63.344) Epoch: [7][4120/5809] Time 0.239 (0.517) Data 0.179 (0.445) Loss 2.7808 (2.7879) Prec@1 31.250 (33.308) Prec@5 61.719 (63.343) Epoch: [7][4130/5809] Time 1.573 (0.518) Data 1.513 (0.446) Loss 2.8635 (2.7878) Prec@1 32.812 (33.309) Prec@5 62.109 (63.346) Epoch: [7][4140/5809] Time 0.593 (0.518) Data 0.530 (0.446) Loss 2.7087 (2.7879) Prec@1 34.375 (33.308) Prec@5 61.328 (63.345) Epoch: [7][4150/5809] Time 1.420 (0.519) Data 1.358 (0.447) Loss 2.7794 (2.7879) Prec@1 37.109 (33.309) Prec@5 62.109 (63.345) Epoch: [7][4160/5809] Time 0.481 (0.519) Data 0.422 (0.447) Loss 2.7442 (2.7878) Prec@1 32.031 (33.308) Prec@5 64.844 (63.347) Epoch: [7][4170/5809] Time 1.067 (0.519) Data 1.008 (0.447) Loss 2.8055 (2.7877) Prec@1 34.766 (33.308) Prec@5 62.891 (63.348) Epoch: [7][4180/5809] Time 0.745 (0.520) Data 0.685 (0.448) Loss 3.0272 (2.7878) Prec@1 31.641 (33.306) Prec@5 57.812 (63.347) Epoch: [7][4190/5809] Time 0.668 (0.520) Data 0.610 (0.448) Loss 2.8326 (2.7879) Prec@1 29.688 (33.301) Prec@5 62.891 (63.345) Epoch: [7][4200/5809] Time 0.138 (0.520) Data 0.079 (0.448) Loss 3.0977 (2.7881) Prec@1 26.562 (33.296) Prec@5 59.375 (63.342) Epoch: [7][4210/5809] Time 0.197 (0.520) Data 0.138 (0.448) Loss 2.8675 (2.7882) Prec@1 31.641 (33.296) Prec@5 59.375 (63.339) Epoch: [7][4220/5809] Time 1.035 (0.521) Data 0.975 (0.449) Loss 2.9469 (2.7882) Prec@1 27.734 (33.298) Prec@5 58.594 (63.340) Epoch: [7][4230/5809] Time 0.728 (0.521) Data 0.667 (0.449) Loss 2.9061 (2.7882) Prec@1 32.031 (33.300) Prec@5 61.328 (63.342) Epoch: [7][4240/5809] Time 0.989 (0.521) Data 0.930 (0.450) Loss 2.8530 (2.7882) Prec@1 33.594 (33.305) Prec@5 60.156 (63.340) Epoch: [7][4250/5809] Time 0.875 (0.522) Data 0.817 (0.450) Loss 2.8290 (2.7882) Prec@1 30.078 (33.303) Prec@5 63.672 (63.338) Epoch: [7][4260/5809] Time 0.919 (0.522) Data 0.860 (0.450) Loss 2.7586 (2.7883) Prec@1 34.766 (33.300) Prec@5 66.016 (63.335) Epoch: [7][4270/5809] Time 1.223 (0.522) Data 1.160 (0.451) Loss 2.9338 (2.7883) Prec@1 31.250 (33.301) Prec@5 62.109 (63.336) Epoch: [7][4280/5809] Time 0.716 (0.523) Data 0.657 (0.451) Loss 2.5518 (2.7884) Prec@1 38.672 (33.299) Prec@5 64.844 (63.331) Epoch: [7][4290/5809] Time 0.345 (0.523) Data 0.285 (0.451) Loss 2.6210 (2.7885) Prec@1 37.891 (33.298) Prec@5 66.406 (63.329) Epoch: [7][4300/5809] Time 0.422 (0.523) Data 0.363 (0.451) Loss 2.8136 (2.7885) Prec@1 30.859 (33.298) Prec@5 62.891 (63.328) Epoch: [7][4310/5809] Time 0.174 (0.524) Data 0.115 (0.452) Loss 2.8071 (2.7885) Prec@1 31.641 (33.297) Prec@5 64.453 (63.328) Epoch: [7][4320/5809] Time 0.290 (0.524) Data 0.224 (0.452) Loss 2.7157 (2.7884) Prec@1 33.984 (33.299) Prec@5 63.672 (63.329) Epoch: [7][4330/5809] Time 0.476 (0.525) Data 0.416 (0.453) Loss 2.8693 (2.7885) Prec@1 32.422 (33.296) Prec@5 58.984 (63.326) Epoch: [7][4340/5809] Time 0.195 (0.525) Data 0.137 (0.453) Loss 2.6086 (2.7885) Prec@1 36.328 (33.297) Prec@5 66.797 (63.326) Epoch: [7][4350/5809] Time 1.495 (0.525) Data 1.436 (0.454) Loss 2.7490 (2.7883) Prec@1 37.500 (33.302) Prec@5 65.234 (63.329) Epoch: [7][4360/5809] Time 0.133 (0.526) Data 0.001 (0.454) Loss 2.7974 (2.7882) Prec@1 35.156 (33.305) Prec@5 67.578 (63.332) Epoch: [7][4370/5809] Time 1.501 (0.526) Data 1.436 (0.455) Loss 2.5698 (2.7882) Prec@1 35.547 (33.306) Prec@5 69.141 (63.331) Epoch: [7][4380/5809] Time 0.132 (0.526) Data 0.047 (0.455) Loss 2.8368 (2.7881) Prec@1 32.422 (33.305) Prec@5 63.672 (63.333) Epoch: [7][4390/5809] Time 1.555 (0.527) Data 1.496 (0.455) Loss 2.9463 (2.7881) Prec@1 33.594 (33.305) Prec@5 58.203 (63.333) Epoch: [7][4400/5809] Time 0.146 (0.527) Data 0.084 (0.455) Loss 2.8651 (2.7880) Prec@1 33.203 (33.306) Prec@5 62.500 (63.336) Epoch: [7][4410/5809] Time 1.623 (0.528) Data 1.562 (0.456) Loss 2.7319 (2.7881) Prec@1 33.984 (33.306) Prec@5 66.016 (63.334) Epoch: [7][4420/5809] Time 0.556 (0.528) Data 0.497 (0.456) Loss 2.6511 (2.7881) Prec@1 38.672 (33.306) Prec@5 66.797 (63.338) Epoch: [7][4430/5809] Time 1.200 (0.529) Data 1.142 (0.457) Loss 2.9602 (2.7880) Prec@1 27.734 (33.307) Prec@5 61.719 (63.339) Epoch: [7][4440/5809] Time 0.727 (0.529) Data 0.659 (0.457) Loss 2.5944 (2.7879) Prec@1 39.453 (33.310) Prec@5 66.797 (63.341) Epoch: [7][4450/5809] Time 1.214 (0.530) Data 1.156 (0.458) Loss 2.8578 (2.7878) Prec@1 32.812 (33.313) Prec@5 57.812 (63.343) Epoch: [7][4460/5809] Time 0.295 (0.530) Data 0.234 (0.458) Loss 2.8395 (2.7879) Prec@1 27.734 (33.314) Prec@5 61.328 (63.342) Epoch: [7][4470/5809] Time 1.522 (0.531) Data 1.462 (0.459) Loss 2.7513 (2.7878) Prec@1 32.031 (33.316) Prec@5 64.062 (63.343) Epoch: [7][4480/5809] Time 0.132 (0.531) Data 0.046 (0.459) Loss 2.8518 (2.7878) Prec@1 28.516 (33.314) Prec@5 62.109 (63.343) Epoch: [7][4490/5809] Time 1.806 (0.531) Data 1.748 (0.460) Loss 2.8543 (2.7878) Prec@1 30.469 (33.314) Prec@5 62.109 (63.343) Epoch: [7][4500/5809] Time 0.131 (0.532) Data 0.001 (0.460) Loss 2.8011 (2.7878) Prec@1 33.984 (33.313) Prec@5 64.453 (63.342) Epoch: [7][4510/5809] Time 1.036 (0.532) Data 0.973 (0.460) Loss 2.9363 (2.7878) Prec@1 26.562 (33.314) Prec@5 60.938 (63.343) Epoch: [7][4520/5809] Time 1.007 (0.533) Data 0.948 (0.461) Loss 2.5724 (2.7878) Prec@1 39.844 (33.313) Prec@5 65.234 (63.342) Epoch: [7][4530/5809] Time 1.260 (0.533) Data 1.197 (0.461) Loss 2.8150 (2.7880) Prec@1 29.688 (33.311) Prec@5 62.500 (63.338) Epoch: [7][4540/5809] Time 0.797 (0.533) Data 0.738 (0.461) Loss 2.7024 (2.7881) Prec@1 29.297 (33.307) Prec@5 64.844 (63.337) Epoch: [7][4550/5809] Time 0.960 (0.534) Data 0.902 (0.462) Loss 2.8589 (2.7882) Prec@1 26.562 (33.305) Prec@5 65.625 (63.335) Epoch: [7][4560/5809] Time 0.785 (0.534) Data 0.724 (0.462) Loss 2.6990 (2.7882) Prec@1 33.984 (33.305) Prec@5 63.281 (63.331) Epoch: [7][4570/5809] Time 0.450 (0.534) Data 0.391 (0.463) Loss 2.7896 (2.7883) Prec@1 34.375 (33.305) Prec@5 65.234 (63.332) Epoch: [7][4580/5809] Time 1.111 (0.535) Data 1.051 (0.463) Loss 2.7643 (2.7882) Prec@1 29.688 (33.305) Prec@5 62.500 (63.332) Epoch: [7][4590/5809] Time 0.323 (0.535) Data 0.259 (0.463) Loss 2.7534 (2.7882) Prec@1 33.594 (33.304) Prec@5 64.062 (63.331) Epoch: [7][4600/5809] Time 1.130 (0.536) Data 1.071 (0.464) Loss 2.8068 (2.7882) Prec@1 34.375 (33.306) Prec@5 64.062 (63.333) Epoch: [7][4610/5809] Time 0.768 (0.536) Data 0.708 (0.464) Loss 2.6337 (2.7883) Prec@1 34.766 (33.304) Prec@5 69.141 (63.334) Epoch: [7][4620/5809] Time 0.434 (0.537) Data 0.374 (0.465) Loss 2.4467 (2.7882) Prec@1 41.016 (33.306) Prec@5 70.703 (63.334) Epoch: [7][4630/5809] Time 0.825 (0.537) Data 0.765 (0.465) Loss 2.9360 (2.7882) Prec@1 32.422 (33.305) Prec@5 60.156 (63.332) Epoch: [7][4640/5809] Time 0.450 (0.538) Data 0.386 (0.466) Loss 2.6782 (2.7881) Prec@1 32.031 (33.308) Prec@5 66.406 (63.335) Epoch: [7][4650/5809] Time 0.623 (0.538) Data 0.561 (0.466) Loss 2.9836 (2.7879) Prec@1 28.516 (33.312) Prec@5 57.812 (63.336) Epoch: [7][4660/5809] Time 0.623 (0.538) Data 0.560 (0.467) Loss 2.7764 (2.7877) Prec@1 31.641 (33.315) Prec@5 62.109 (63.341) Epoch: [7][4670/5809] Time 0.608 (0.539) Data 0.549 (0.467) Loss 3.1030 (2.7877) Prec@1 29.688 (33.316) Prec@5 54.297 (63.339) Epoch: [7][4680/5809] Time 1.119 (0.539) Data 1.060 (0.468) Loss 2.9778 (2.7877) Prec@1 30.078 (33.315) Prec@5 60.938 (63.339) Epoch: [7][4690/5809] Time 0.134 (0.539) Data 0.001 (0.468) Loss 2.8803 (2.7877) Prec@1 32.812 (33.318) Prec@5 59.375 (63.338) Epoch: [7][4700/5809] Time 1.060 (0.540) Data 1.001 (0.468) Loss 2.8465 (2.7879) Prec@1 31.250 (33.316) Prec@5 58.984 (63.335) Epoch: [7][4710/5809] Time 0.199 (0.540) Data 0.140 (0.468) Loss 2.8709 (2.7879) Prec@1 35.547 (33.314) Prec@5 62.891 (63.332) Epoch: [7][4720/5809] Time 1.190 (0.541) Data 1.131 (0.469) Loss 2.7855 (2.7879) Prec@1 30.078 (33.312) Prec@5 65.234 (63.333) Epoch: [7][4730/5809] Time 0.448 (0.541) Data 0.388 (0.470) Loss 2.7043 (2.7879) Prec@1 38.281 (33.313) Prec@5 68.359 (63.335) Epoch: [7][4740/5809] Time 1.239 (0.542) Data 1.180 (0.470) Loss 2.5879 (2.7879) Prec@1 34.375 (33.312) Prec@5 69.531 (63.337) Epoch: [7][4750/5809] Time 0.262 (0.542) Data 0.201 (0.470) Loss 2.8666 (2.7879) Prec@1 30.078 (33.311) Prec@5 59.375 (63.336) Epoch: [7][4760/5809] Time 1.554 (0.543) Data 1.495 (0.471) Loss 2.7205 (2.7877) Prec@1 33.984 (33.312) Prec@5 63.672 (63.339) Epoch: [7][4770/5809] Time 0.133 (0.543) Data 0.001 (0.471) Loss 2.7793 (2.7879) Prec@1 31.641 (33.309) Prec@5 64.844 (63.337) Epoch: [7][4780/5809] Time 1.862 (0.543) Data 1.803 (0.471) Loss 2.7877 (2.7879) Prec@1 31.641 (33.308) Prec@5 64.062 (63.335) Epoch: [7][4790/5809] Time 0.262 (0.543) Data 0.203 (0.472) Loss 2.5583 (2.7878) Prec@1 38.672 (33.309) Prec@5 69.531 (63.335) Epoch: [7][4800/5809] Time 1.480 (0.544) Data 1.420 (0.472) Loss 2.5887 (2.7877) Prec@1 35.156 (33.309) Prec@5 67.188 (63.337) Epoch: [7][4810/5809] Time 0.372 (0.544) Data 0.310 (0.473) Loss 2.6765 (2.7876) Prec@1 33.984 (33.310) Prec@5 64.062 (63.338) Epoch: [7][4820/5809] Time 0.970 (0.545) Data 0.911 (0.473) Loss 2.6706 (2.7876) Prec@1 31.250 (33.310) Prec@5 66.406 (63.339) Epoch: [7][4830/5809] Time 0.133 (0.545) Data 0.046 (0.473) Loss 2.6070 (2.7877) Prec@1 35.547 (33.309) Prec@5 66.016 (63.337) Epoch: [7][4840/5809] Time 0.132 (0.546) Data 0.001 (0.474) Loss 2.8553 (2.7878) Prec@1 31.250 (33.306) Prec@5 62.500 (63.335) Epoch: [7][4850/5809] Time 0.476 (0.546) Data 0.413 (0.474) Loss 2.6576 (2.7879) Prec@1 32.031 (33.304) Prec@5 66.797 (63.335) Epoch: [7][4860/5809] Time 0.542 (0.546) Data 0.483 (0.474) Loss 2.6402 (2.7878) Prec@1 37.109 (33.303) Prec@5 64.453 (63.334) Epoch: [7][4870/5809] Time 0.831 (0.547) Data 0.772 (0.475) Loss 2.6295 (2.7878) Prec@1 34.766 (33.304) Prec@5 68.750 (63.335) Epoch: [7][4880/5809] Time 0.477 (0.547) Data 0.418 (0.475) Loss 2.7299 (2.7877) Prec@1 31.641 (33.303) Prec@5 66.016 (63.336) Epoch: [7][4890/5809] Time 0.966 (0.547) Data 0.908 (0.476) Loss 2.6669 (2.7877) Prec@1 33.203 (33.302) Prec@5 64.453 (63.336) Epoch: [7][4900/5809] Time 0.978 (0.548) Data 0.919 (0.476) Loss 2.5722 (2.7877) Prec@1 37.109 (33.301) Prec@5 70.703 (63.337) Epoch: [7][4910/5809] Time 0.974 (0.548) Data 0.914 (0.477) Loss 2.8576 (2.7877) Prec@1 33.203 (33.300) Prec@5 64.453 (63.337) Epoch: [7][4920/5809] Time 1.229 (0.549) Data 1.170 (0.477) Loss 2.7812 (2.7877) Prec@1 31.250 (33.298) Prec@5 62.500 (63.338) Epoch: [7][4930/5809] Time 1.083 (0.549) Data 1.024 (0.477) Loss 3.0726 (2.7878) Prec@1 32.031 (33.297) Prec@5 57.812 (63.336) Epoch: [7][4940/5809] Time 0.695 (0.549) Data 0.633 (0.478) Loss 2.7259 (2.7878) Prec@1 35.547 (33.299) Prec@5 63.672 (63.336) Epoch: [7][4950/5809] Time 0.132 (0.550) Data 0.001 (0.478) Loss 2.8197 (2.7878) Prec@1 38.281 (33.300) Prec@5 60.547 (63.337) Epoch: [7][4960/5809] Time 0.694 (0.550) Data 0.634 (0.479) Loss 2.7250 (2.7877) Prec@1 36.328 (33.301) Prec@5 64.453 (63.338) Epoch: [7][4970/5809] Time 0.298 (0.550) Data 0.239 (0.479) Loss 2.7018 (2.7875) Prec@1 31.641 (33.305) Prec@5 63.672 (63.341) Epoch: [7][4980/5809] Time 0.467 (0.551) Data 0.408 (0.480) Loss 2.7520 (2.7875) Prec@1 35.156 (33.303) Prec@5 64.453 (63.342) Epoch: [7][4990/5809] Time 0.940 (0.552) Data 0.880 (0.480) Loss 2.9267 (2.7875) Prec@1 28.125 (33.303) Prec@5 59.766 (63.342) Epoch: [7][5000/5809] Time 1.179 (0.552) Data 1.120 (0.481) Loss 2.7685 (2.7874) Prec@1 33.203 (33.304) Prec@5 63.281 (63.344) Epoch: [7][5010/5809] Time 1.846 (0.553) Data 1.787 (0.481) Loss 2.6831 (2.7875) Prec@1 35.156 (33.303) Prec@5 67.578 (63.341) Epoch: [7][5020/5809] Time 0.570 (0.553) Data 0.511 (0.482) Loss 2.5392 (2.7874) Prec@1 37.109 (33.303) Prec@5 68.750 (63.343) Epoch: [7][5030/5809] Time 1.845 (0.553) Data 1.786 (0.482) Loss 2.8691 (2.7876) Prec@1 35.938 (33.301) Prec@5 61.719 (63.340) Epoch: [7][5040/5809] Time 0.169 (0.554) Data 0.111 (0.482) Loss 2.6267 (2.7875) Prec@1 36.328 (33.301) Prec@5 67.969 (63.340) Epoch: [7][5050/5809] Time 0.924 (0.555) Data 0.866 (0.483) Loss 2.7138 (2.7874) Prec@1 35.156 (33.303) Prec@5 61.719 (63.342) Epoch: [7][5060/5809] Time 0.494 (0.555) Data 0.435 (0.484) Loss 2.5965 (2.7873) Prec@1 37.109 (33.305) Prec@5 64.453 (63.344) Epoch: [7][5070/5809] Time 0.879 (0.555) Data 0.821 (0.484) Loss 2.9508 (2.7873) Prec@1 32.422 (33.305) Prec@5 57.812 (63.340) Epoch: [7][5080/5809] Time 0.233 (0.556) Data 0.174 (0.484) Loss 2.5439 (2.7873) Prec@1 39.453 (33.304) Prec@5 71.484 (63.344) Epoch: [7][5090/5809] Time 0.679 (0.556) Data 0.620 (0.484) Loss 2.7522 (2.7873) Prec@1 32.422 (33.302) Prec@5 63.281 (63.343) Epoch: [7][5100/5809] Time 0.263 (0.556) Data 0.204 (0.485) Loss 2.7249 (2.7872) Prec@1 36.719 (33.305) Prec@5 63.672 (63.344) Epoch: [7][5110/5809] Time 0.297 (0.556) Data 0.239 (0.485) Loss 2.6830 (2.7872) Prec@1 37.109 (33.307) Prec@5 63.672 (63.345) Epoch: [7][5120/5809] Time 0.133 (0.557) Data 0.072 (0.485) Loss 2.7726 (2.7872) Prec@1 32.812 (33.310) Prec@5 62.891 (63.346) Epoch: [7][5130/5809] Time 0.431 (0.557) Data 0.372 (0.486) Loss 2.6966 (2.7871) Prec@1 32.812 (33.312) Prec@5 64.062 (63.350) Epoch: [7][5140/5809] Time 1.553 (0.558) Data 1.486 (0.486) Loss 2.9367 (2.7872) Prec@1 30.859 (33.313) Prec@5 59.375 (63.347) Epoch: [7][5150/5809] Time 0.149 (0.558) Data 0.089 (0.486) Loss 2.6436 (2.7873) Prec@1 37.109 (33.312) Prec@5 69.141 (63.347) Epoch: [7][5160/5809] Time 1.502 (0.558) Data 1.439 (0.487) Loss 2.7758 (2.7873) Prec@1 33.203 (33.312) Prec@5 66.016 (63.348) Epoch: [7][5170/5809] Time 0.448 (0.558) Data 0.385 (0.487) Loss 2.7981 (2.7874) Prec@1 34.375 (33.308) Prec@5 63.281 (63.345) Epoch: [7][5180/5809] Time 1.028 (0.559) Data 0.965 (0.487) Loss 2.8482 (2.7874) Prec@1 29.688 (33.303) Prec@5 61.328 (63.344) Epoch: [7][5190/5809] Time 0.133 (0.559) Data 0.045 (0.487) Loss 2.6011 (2.7874) Prec@1 34.766 (33.304) Prec@5 66.797 (63.344) Epoch: [7][5200/5809] Time 0.920 (0.559) Data 0.861 (0.488) Loss 2.9198 (2.7874) Prec@1 30.078 (33.304) Prec@5 61.328 (63.342) Epoch: [7][5210/5809] Time 0.295 (0.559) Data 0.235 (0.488) Loss 2.9635 (2.7875) Prec@1 31.641 (33.304) Prec@5 62.891 (63.343) Epoch: [7][5220/5809] Time 0.743 (0.560) Data 0.684 (0.488) Loss 2.6995 (2.7875) Prec@1 35.156 (33.305) Prec@5 67.578 (63.343) Epoch: [7][5230/5809] Time 0.224 (0.560) Data 0.166 (0.488) Loss 2.9132 (2.7875) Prec@1 28.906 (33.302) Prec@5 63.672 (63.342) Epoch: [7][5240/5809] Time 0.956 (0.560) Data 0.898 (0.489) Loss 2.8371 (2.7876) Prec@1 33.984 (33.301) Prec@5 63.672 (63.342) Epoch: [7][5250/5809] Time 0.295 (0.560) Data 0.236 (0.489) Loss 2.6210 (2.7876) Prec@1 35.156 (33.304) Prec@5 65.234 (63.343) Epoch: [7][5260/5809] Time 0.621 (0.561) Data 0.561 (0.489) Loss 2.8953 (2.7876) Prec@1 28.906 (33.304) Prec@5 61.328 (63.342) Epoch: [7][5270/5809] Time 0.284 (0.561) Data 0.224 (0.489) Loss 2.7507 (2.7876) Prec@1 30.859 (33.302) Prec@5 64.844 (63.342) Epoch: [7][5280/5809] Time 0.296 (0.561) Data 0.235 (0.490) Loss 2.8344 (2.7876) Prec@1 37.500 (33.303) Prec@5 60.938 (63.341) Epoch: [7][5290/5809] Time 0.259 (0.561) Data 0.201 (0.490) Loss 2.7571 (2.7878) Prec@1 33.984 (33.301) Prec@5 62.109 (63.337) Epoch: [7][5300/5809] Time 0.388 (0.562) Data 0.329 (0.490) Loss 2.5720 (2.7878) Prec@1 36.328 (33.301) Prec@5 67.578 (63.335) Epoch: [7][5310/5809] Time 0.133 (0.562) Data 0.001 (0.490) Loss 2.6626 (2.7879) Prec@1 33.203 (33.301) Prec@5 63.281 (63.336) Epoch: [7][5320/5809] Time 0.455 (0.562) Data 0.396 (0.491) Loss 2.8347 (2.7879) Prec@1 31.250 (33.299) Prec@5 58.984 (63.334) Epoch: [7][5330/5809] Time 0.574 (0.562) Data 0.511 (0.491) Loss 3.0155 (2.7879) Prec@1 30.078 (33.298) Prec@5 59.766 (63.336) Epoch: [7][5340/5809] Time 0.698 (0.562) Data 0.638 (0.491) Loss 2.7684 (2.7878) Prec@1 33.594 (33.301) Prec@5 64.062 (63.339) Epoch: [7][5350/5809] Time 1.127 (0.563) Data 1.067 (0.491) Loss 2.8340 (2.7877) Prec@1 30.469 (33.301) Prec@5 63.281 (63.339) Epoch: [7][5360/5809] Time 0.769 (0.563) Data 0.710 (0.492) Loss 3.0359 (2.7878) Prec@1 25.781 (33.297) Prec@5 58.984 (63.337) Epoch: [7][5370/5809] Time 0.134 (0.563) Data 0.001 (0.492) Loss 2.8244 (2.7878) Prec@1 33.594 (33.298) Prec@5 57.422 (63.336) Epoch: [7][5380/5809] Time 0.133 (0.563) Data 0.001 (0.492) Loss 2.4534 (2.7878) Prec@1 39.844 (33.298) Prec@5 67.578 (63.336) Epoch: [7][5390/5809] Time 0.255 (0.564) Data 0.196 (0.492) Loss 2.7731 (2.7878) Prec@1 35.156 (33.297) Prec@5 61.719 (63.336) Epoch: [7][5400/5809] Time 0.133 (0.564) Data 0.001 (0.493) Loss 2.8202 (2.7877) Prec@1 36.328 (33.300) Prec@5 64.844 (63.338) Epoch: [7][5410/5809] Time 0.133 (0.564) Data 0.001 (0.493) Loss 2.7111 (2.7877) Prec@1 35.938 (33.300) Prec@5 63.281 (63.338) Epoch: [7][5420/5809] Time 0.645 (0.565) Data 0.587 (0.493) Loss 2.7649 (2.7877) Prec@1 35.156 (33.300) Prec@5 66.406 (63.338) Epoch: [7][5430/5809] Time 0.907 (0.565) Data 0.845 (0.494) Loss 2.7860 (2.7877) Prec@1 33.203 (33.298) Prec@5 66.016 (63.336) Epoch: [7][5440/5809] Time 0.957 (0.565) Data 0.898 (0.494) Loss 2.5568 (2.7877) Prec@1 39.062 (33.299) Prec@5 67.578 (63.338) Epoch: [7][5450/5809] Time 0.865 (0.566) Data 0.805 (0.494) Loss 2.8487 (2.7877) Prec@1 30.859 (33.299) Prec@5 62.109 (63.338) Epoch: [7][5460/5809] Time 1.194 (0.566) Data 1.135 (0.495) Loss 3.0300 (2.7877) Prec@1 30.078 (33.294) Prec@5 56.641 (63.335) Epoch: [7][5470/5809] Time 0.920 (0.566) Data 0.862 (0.495) Loss 2.8214 (2.7878) Prec@1 31.641 (33.293) Prec@5 64.453 (63.334) Epoch: [7][5480/5809] Time 0.495 (0.567) Data 0.435 (0.495) Loss 2.8820 (2.7880) Prec@1 29.297 (33.288) Prec@5 60.938 (63.330) Epoch: [7][5490/5809] Time 0.134 (0.567) Data 0.062 (0.496) Loss 2.9344 (2.7881) Prec@1 30.469 (33.287) Prec@5 57.812 (63.330) Epoch: [7][5500/5809] Time 0.125 (0.567) Data 0.046 (0.496) Loss 2.9294 (2.7881) Prec@1 35.547 (33.287) Prec@5 61.328 (63.330) Epoch: [7][5510/5809] Time 0.401 (0.568) Data 0.340 (0.496) Loss 2.8189 (2.7882) Prec@1 32.031 (33.286) Prec@5 58.203 (63.327) Epoch: [7][5520/5809] Time 0.526 (0.568) Data 0.462 (0.497) Loss 2.7218 (2.7881) Prec@1 33.203 (33.287) Prec@5 64.062 (63.329) Epoch: [7][5530/5809] Time 0.627 (0.568) Data 0.568 (0.497) Loss 3.0347 (2.7881) Prec@1 31.641 (33.288) Prec@5 59.375 (63.328) Epoch: [7][5540/5809] Time 0.978 (0.568) Data 0.919 (0.497) Loss 2.7136 (2.7882) Prec@1 31.641 (33.285) Prec@5 67.188 (63.325) Epoch: [7][5550/5809] Time 0.722 (0.569) Data 0.657 (0.497) Loss 2.7301 (2.7882) Prec@1 37.891 (33.288) Prec@5 64.844 (63.323) Epoch: [7][5560/5809] Time 1.362 (0.569) Data 1.304 (0.498) Loss 2.6525 (2.7883) Prec@1 35.547 (33.286) Prec@5 64.844 (63.322) Epoch: [7][5570/5809] Time 0.849 (0.569) Data 0.790 (0.498) Loss 2.8591 (2.7883) Prec@1 35.156 (33.286) Prec@5 64.062 (63.322) Epoch: [7][5580/5809] Time 1.751 (0.569) Data 1.692 (0.498) Loss 2.7883 (2.7884) Prec@1 36.328 (33.286) Prec@5 61.719 (63.321) Epoch: [7][5590/5809] Time 0.134 (0.569) Data 0.001 (0.498) Loss 2.5211 (2.7883) Prec@1 37.500 (33.287) Prec@5 66.797 (63.320) Epoch: [7][5600/5809] Time 2.284 (0.570) Data 2.214 (0.499) Loss 3.0209 (2.7884) Prec@1 32.422 (33.287) Prec@5 59.766 (63.318) Epoch: [7][5610/5809] Time 0.130 (0.570) Data 0.001 (0.499) Loss 2.8040 (2.7882) Prec@1 34.375 (33.291) Prec@5 62.109 (63.324) Epoch: [7][5620/5809] Time 2.259 (0.570) Data 2.195 (0.499) Loss 2.8873 (2.7883) Prec@1 34.766 (33.291) Prec@5 63.672 (63.322) Epoch: [7][5630/5809] Time 0.358 (0.571) Data 0.300 (0.499) Loss 2.8150 (2.7882) Prec@1 34.375 (33.293) Prec@5 62.109 (63.323) Epoch: [7][5640/5809] Time 2.056 (0.571) Data 1.997 (0.500) Loss 2.9068 (2.7883) Prec@1 34.766 (33.293) Prec@5 64.453 (63.323) Epoch: [7][5650/5809] Time 0.138 (0.571) Data 0.001 (0.500) Loss 2.9001 (2.7883) Prec@1 25.781 (33.291) Prec@5 61.328 (63.324) Epoch: [7][5660/5809] Time 2.375 (0.571) Data 2.317 (0.500) Loss 2.8970 (2.7884) Prec@1 29.688 (33.292) Prec@5 62.891 (63.324) Epoch: [7][5670/5809] Time 0.150 (0.571) Data 0.090 (0.500) Loss 2.8942 (2.7884) Prec@1 32.812 (33.293) Prec@5 60.156 (63.323) Epoch: [7][5680/5809] Time 1.571 (0.572) Data 1.508 (0.500) Loss 2.5168 (2.7882) Prec@1 36.719 (33.296) Prec@5 68.750 (63.326) Epoch: [7][5690/5809] Time 0.363 (0.572) Data 0.304 (0.501) Loss 2.8085 (2.7884) Prec@1 31.250 (33.294) Prec@5 65.625 (63.323) Epoch: [7][5700/5809] Time 0.504 (0.572) Data 0.441 (0.501) Loss 2.4993 (2.7884) Prec@1 36.719 (33.295) Prec@5 70.703 (63.322) Epoch: [7][5710/5809] Time 1.182 (0.572) Data 1.124 (0.501) Loss 2.9602 (2.7884) Prec@1 31.250 (33.294) Prec@5 59.766 (63.323) Epoch: [7][5720/5809] Time 0.506 (0.573) Data 0.446 (0.501) Loss 2.6828 (2.7884) Prec@1 35.547 (33.295) Prec@5 67.969 (63.323) Epoch: [7][5730/5809] Time 0.442 (0.573) Data 0.382 (0.501) Loss 2.7316 (2.7885) Prec@1 28.516 (33.294) Prec@5 63.281 (63.322) Epoch: [7][5740/5809] Time 0.253 (0.573) Data 0.194 (0.502) Loss 2.7278 (2.7885) Prec@1 35.547 (33.293) Prec@5 64.453 (63.320) Epoch: [7][5750/5809] Time 0.168 (0.573) Data 0.109 (0.502) Loss 2.7590 (2.7886) Prec@1 36.328 (33.292) Prec@5 65.625 (63.318) Epoch: [7][5760/5809] Time 0.319 (0.573) Data 0.261 (0.502) Loss 2.8553 (2.7887) Prec@1 32.812 (33.290) Prec@5 64.844 (63.316) Epoch: [7][5770/5809] Time 0.133 (0.574) Data 0.001 (0.502) Loss 2.6824 (2.7886) Prec@1 31.641 (33.292) Prec@5 62.500 (63.318) Epoch: [7][5780/5809] Time 0.709 (0.574) Data 0.649 (0.503) Loss 2.7302 (2.7885) Prec@1 34.375 (33.293) Prec@5 64.453 (63.320) Epoch: [7][5790/5809] Time 0.268 (0.574) Data 0.209 (0.503) Loss 2.7809 (2.7885) Prec@1 35.547 (33.293) Prec@5 67.188 (63.321) Epoch: [7][5800/5809] Time 0.253 (0.574) Data 0.195 (0.503) Loss 2.6934 (2.7885) Prec@1 33.203 (33.294) Prec@5 66.016 (63.324) Test: [0/143] Time 2.239 (2.239) Loss 1.7393 (1.7393) Prec@1 53.906 (53.906) Prec@5 84.766 (84.766) Test: [10/143] Time 0.173 (0.518) Loss 9.6194 (8.6047) Prec@1 0.000 (6.534) Prec@5 0.000 (14.205) Test: [20/143] Time 0.813 (0.491) Loss 10.7919 (9.4344) Prec@1 0.000 (3.534) Prec@5 0.391 (8.278) Test: [30/143] Time 0.245 (0.458) Loss 12.0508 (10.0320) Prec@1 0.000 (2.394) Prec@5 0.000 (5.935) Test: [40/143] Time 0.842 (0.454) Loss 10.4805 (10.1983) Prec@1 0.391 (1.829) Prec@5 1.172 (4.735) Test: [50/143] Time 0.055 (0.432) Loss 9.4104 (10.2127) Prec@1 0.000 (1.524) Prec@5 1.172 (4.733) Test: [60/143] Time 0.612 (0.440) Loss 11.3830 (10.3187) Prec@1 0.000 (1.294) Prec@5 0.391 (4.022) Test: [70/143] Time 0.342 (0.432) Loss 9.2703 (10.4032) Prec@1 0.000 (1.128) Prec@5 0.391 (3.598) Test: [80/143] Time 0.787 (0.434) Loss 8.2285 (10.3559) Prec@1 0.781 (1.061) Prec@5 2.344 (3.400) Test: [90/143] Time 0.863 (0.433) Loss 8.3927 (10.2672) Prec@1 0.391 (0.966) Prec@5 3.125 (3.297) Test: [100/143] Time 0.171 (0.426) Loss 10.1038 (10.2448) Prec@1 0.000 (0.886) Prec@5 0.781 (3.090) Test: [110/143] Time 0.631 (0.426) Loss 12.2435 (10.2280) Prec@1 0.000 (0.827) Prec@5 0.000 (2.949) Test: [120/143] Time 0.303 (0.425) Loss 13.6612 (10.3126) Prec@1 0.000 (0.775) Prec@5 0.000 (2.780) Test: [130/143] Time 0.602 (0.422) Loss 13.9701 (10.6490) Prec@1 0.000 (0.716) Prec@5 0.000 (2.567) Test: [140/143] Time 0.173 (0.421) Loss 16.1103 (10.9471) Prec@1 0.000 (0.665) Prec@5 0.000 (2.385) * Prec@1 0.658 Prec@5 2.360 Epoch: [8][0/5809] Time 3.226 (3.226) Data 3.162 (3.162) Loss 2.7119 (2.7119) Prec@1 30.859 (30.859) Prec@5 61.328 (61.328) Epoch: [8][10/5809] Time 0.132 (0.634) Data 0.001 (0.530) Loss 2.5557 (2.7533) Prec@1 36.328 (32.315) Prec@5 68.750 (63.388) Epoch: [8][20/5809] Time 1.084 (0.570) Data 1.020 (0.463) Loss 2.6405 (2.7344) Prec@1 35.156 (33.296) Prec@5 68.359 (64.249) Epoch: [8][30/5809] Time 0.132 (0.521) Data 0.001 (0.417) Loss 2.5164 (2.7194) Prec@1 36.719 (33.707) Prec@5 64.453 (64.277) Epoch: [8][40/5809] Time 1.144 (0.511) Data 1.083 (0.412) Loss 2.7584 (2.7161) Prec@1 35.156 (33.965) Prec@5 63.672 (64.377) Epoch: [8][50/5809] Time 0.133 (0.492) Data 0.001 (0.396) Loss 2.6413 (2.7224) Prec@1 35.156 (34.107) Prec@5 69.141 (64.499) Epoch: [8][60/5809] Time 1.105 (0.491) Data 1.046 (0.398) Loss 2.9117 (2.7138) Prec@1 30.078 (34.100) Prec@5 59.375 (64.658) Epoch: [8][70/5809] Time 0.186 (0.477) Data 0.121 (0.389) Loss 2.9095 (2.7169) Prec@1 32.422 (34.298) Prec@5 62.109 (64.585) Epoch: [8][80/5809] Time 1.021 (0.489) Data 0.962 (0.404) Loss 2.9598 (2.7278) Prec@1 31.250 (34.187) Prec@5 59.766 (64.376) Epoch: [8][90/5809] Time 0.251 (0.481) Data 0.187 (0.398) Loss 2.8495 (2.7309) Prec@1 33.203 (34.147) Prec@5 60.938 (64.320) Epoch: [8][100/5809] Time 0.858 (0.484) Data 0.799 (0.403) Loss 2.7506 (2.7332) Prec@1 36.328 (34.155) Prec@5 64.062 (64.182) Epoch: [8][110/5809] Time 0.128 (0.478) Data 0.043 (0.398) Loss 2.7454 (2.7356) Prec@1 34.766 (34.143) Prec@5 64.453 (64.045) Epoch: [8][120/5809] Time 1.422 (0.484) Data 1.362 (0.405) Loss 2.9089 (2.7348) Prec@1 33.203 (34.191) Prec@5 62.500 (64.082) Epoch: [8][130/5809] Time 0.482 (0.481) Data 0.415 (0.401) Loss 2.8144 (2.7313) Prec@1 34.766 (34.250) Prec@5 62.109 (64.238) Epoch: [8][140/5809] Time 1.364 (0.483) Data 1.306 (0.404) Loss 2.6552 (2.7329) Prec@1 34.375 (34.206) Prec@5 67.188 (64.229) Epoch: [8][150/5809] Time 0.251 (0.478) Data 0.187 (0.400) Loss 2.7862 (2.7340) Prec@1 36.719 (34.160) Prec@5 66.406 (64.272) Epoch: [8][160/5809] Time 1.212 (0.481) Data 1.153 (0.403) Loss 2.6756 (2.7327) Prec@1 38.672 (34.205) Prec@5 66.406 (64.329) Epoch: [8][170/5809] Time 0.133 (0.477) Data 0.001 (0.399) Loss 2.6567 (2.7355) Prec@1 33.203 (34.133) Prec@5 65.625 (64.293) Epoch: [8][180/5809] Time 0.779 (0.478) Data 0.702 (0.400) Loss 2.5937 (2.7351) Prec@1 37.891 (34.105) Prec@5 68.359 (64.386) Epoch: [8][190/5809] Time 0.132 (0.474) Data 0.062 (0.395) Loss 2.7760 (2.7327) Prec@1 32.422 (34.107) Prec@5 62.500 (64.476) Epoch: [8][200/5809] Time 0.668 (0.476) Data 0.610 (0.398) Loss 2.7233 (2.7336) Prec@1 35.547 (34.157) Prec@5 64.844 (64.484) Epoch: [8][210/5809] Time 0.133 (0.472) Data 0.001 (0.394) Loss 2.7371 (2.7327) Prec@1 35.547 (34.188) Prec@5 63.281 (64.494) Epoch: [8][220/5809] Time 0.141 (0.473) Data 0.001 (0.395) Loss 2.7430 (2.7345) Prec@1 33.984 (34.170) Prec@5 61.719 (64.409) Epoch: [8][230/5809] Time 0.133 (0.470) Data 0.001 (0.392) Loss 2.6999 (2.7303) Prec@1 35.938 (34.243) Prec@5 66.797 (64.533) Epoch: [8][240/5809] Time 0.137 (0.471) Data 0.001 (0.392) Loss 2.8825 (2.7338) Prec@1 34.766 (34.216) Prec@5 62.891 (64.439) Epoch: [8][250/5809] Time 0.133 (0.468) Data 0.001 (0.388) Loss 2.7431 (2.7340) Prec@1 32.422 (34.165) Prec@5 61.328 (64.410) Epoch: [8][260/5809] Time 0.147 (0.469) Data 0.081 (0.387) Loss 2.7996 (2.7368) Prec@1 36.719 (34.119) Prec@5 64.062 (64.369) Epoch: [8][270/5809] Time 0.133 (0.466) Data 0.001 (0.384) Loss 2.8046 (2.7395) Prec@1 34.375 (34.067) Prec@5 64.844 (64.332) Epoch: [8][280/5809] Time 0.141 (0.466) Data 0.081 (0.384) Loss 2.9235 (2.7411) Prec@1 30.859 (34.016) Prec@5 57.422 (64.296) Epoch: [8][290/5809] Time 0.132 (0.464) Data 0.046 (0.381) Loss 2.7549 (2.7421) Prec@1 37.500 (34.007) Prec@5 65.625 (64.301) Epoch: [8][300/5809] Time 0.133 (0.465) Data 0.044 (0.382) Loss 2.8867 (2.7442) Prec@1 29.297 (33.980) Prec@5 57.422 (64.251) Epoch: [8][310/5809] Time 0.133 (0.462) Data 0.001 (0.379) Loss 2.7552 (2.7421) Prec@1 33.203 (34.017) Prec@5 64.844 (64.280) Epoch: [8][320/5809] Time 0.257 (0.463) Data 0.198 (0.380) Loss 2.9628 (2.7428) Prec@1 32.422 (33.999) Prec@5 58.984 (64.283) Epoch: [8][330/5809] Time 0.327 (0.460) Data 0.268 (0.377) Loss 2.6117 (2.7429) Prec@1 36.719 (33.967) Prec@5 66.406 (64.249) Epoch: [8][340/5809] Time 0.324 (0.461) Data 0.265 (0.378) Loss 2.9469 (2.7443) Prec@1 31.641 (33.929) Prec@5 60.938 (64.225) Epoch: [8][350/5809] Time 0.417 (0.459) Data 0.358 (0.376) Loss 2.8203 (2.7440) Prec@1 37.891 (33.965) Prec@5 64.453 (64.238) Epoch: [8][360/5809] Time 0.364 (0.460) Data 0.304 (0.377) Loss 2.6757 (2.7433) Prec@1 37.109 (33.951) Prec@5 67.578 (64.256) Epoch: [8][370/5809] Time 0.131 (0.457) Data 0.045 (0.375) Loss 2.7806 (2.7416) Prec@1 33.594 (33.990) Prec@5 66.406 (64.272) Epoch: [8][380/5809] Time 0.413 (0.459) Data 0.355 (0.376) Loss 2.8286 (2.7424) Prec@1 32.812 (33.980) Prec@5 63.672 (64.254) Epoch: [8][390/5809] Time 0.652 (0.457) Data 0.592 (0.375) Loss 2.7242 (2.7434) Prec@1 34.766 (33.967) Prec@5 62.109 (64.234) Epoch: [8][400/5809] Time 0.158 (0.457) Data 0.098 (0.375) Loss 2.7710 (2.7432) Prec@1 35.156 (33.980) Prec@5 63.281 (64.218) Epoch: [8][410/5809] Time 0.411 (0.457) Data 0.352 (0.374) Loss 2.6318 (2.7425) Prec@1 33.203 (34.019) Prec@5 66.406 (64.235) Epoch: [8][420/5809] Time 0.133 (0.457) Data 0.001 (0.374) Loss 2.6402 (2.7429) Prec@1 35.547 (34.008) Prec@5 65.234 (64.207) Epoch: [8][430/5809] Time 0.875 (0.457) Data 0.814 (0.374) Loss 2.8898 (2.7427) Prec@1 30.859 (34.017) Prec@5 61.719 (64.220) Epoch: [8][440/5809] Time 0.133 (0.456) Data 0.049 (0.373) Loss 2.5636 (2.7418) Prec@1 37.891 (34.046) Prec@5 67.578 (64.241) Epoch: [8][450/5809] Time 0.929 (0.456) Data 0.869 (0.374) Loss 2.7049 (2.7419) Prec@1 35.156 (34.047) Prec@5 64.453 (64.238) Epoch: [8][460/5809] Time 0.135 (0.455) Data 0.001 (0.373) Loss 3.0243 (2.7435) Prec@1 32.812 (34.018) Prec@5 58.594 (64.207) Epoch: [8][470/5809] Time 1.070 (0.456) Data 1.008 (0.373) Loss 2.8534 (2.7453) Prec@1 30.859 (33.980) Prec@5 64.453 (64.158) Epoch: [8][480/5809] Time 0.170 (0.454) Data 0.110 (0.372) Loss 2.6387 (2.7462) Prec@1 35.938 (33.991) Prec@5 68.359 (64.157) Epoch: [8][490/5809] Time 1.228 (0.455) Data 1.169 (0.372) Loss 2.5882 (2.7468) Prec@1 38.281 (33.996) Prec@5 68.750 (64.144) Epoch: [8][500/5809] Time 0.471 (0.454) Data 0.412 (0.372) Loss 2.8294 (2.7475) Prec@1 33.984 (33.970) Prec@5 66.797 (64.139) Epoch: [8][510/5809] Time 1.044 (0.454) Data 0.982 (0.373) Loss 2.8779 (2.7472) Prec@1 32.422 (33.974) Prec@5 62.500 (64.154) Epoch: [8][520/5809] Time 0.137 (0.454) Data 0.073 (0.372) Loss 2.8295 (2.7484) Prec@1 30.469 (33.952) Prec@5 62.891 (64.118) Epoch: [8][530/5809] Time 1.136 (0.454) Data 1.076 (0.373) Loss 2.8221 (2.7488) Prec@1 32.812 (33.949) Prec@5 63.672 (64.126) Epoch: [8][540/5809] Time 0.132 (0.454) Data 0.001 (0.372) Loss 2.6928 (2.7482) Prec@1 35.938 (33.956) Prec@5 60.938 (64.129) Epoch: [8][550/5809] Time 1.052 (0.454) Data 0.993 (0.373) Loss 2.9984 (2.7473) Prec@1 28.125 (33.978) Prec@5 56.641 (64.153) Epoch: [8][560/5809] Time 0.249 (0.454) Data 0.189 (0.372) Loss 2.7061 (2.7470) Prec@1 35.547 (33.982) Prec@5 64.453 (64.163) Epoch: [8][570/5809] Time 0.591 (0.453) Data 0.532 (0.372) Loss 2.6226 (2.7471) Prec@1 36.328 (34.006) Prec@5 64.453 (64.153) Epoch: [8][580/5809] Time 0.133 (0.453) Data 0.001 (0.372) Loss 2.8161 (2.7469) Prec@1 32.031 (33.997) Prec@5 58.594 (64.138) Epoch: [8][590/5809] Time 0.684 (0.453) Data 0.625 (0.372) Loss 2.7937 (2.7468) Prec@1 35.156 (34.007) Prec@5 62.109 (64.143) Epoch: [8][600/5809] Time 0.134 (0.453) Data 0.001 (0.372) Loss 2.5217 (2.7467) Prec@1 38.672 (34.024) Prec@5 67.188 (64.150) Epoch: [8][610/5809] Time 0.600 (0.453) Data 0.541 (0.372) Loss 2.8127 (2.7481) Prec@1 32.812 (34.008) Prec@5 64.062 (64.128) Epoch: [8][620/5809] Time 0.320 (0.453) Data 0.257 (0.372) Loss 2.5744 (2.7471) Prec@1 35.547 (34.048) Prec@5 66.406 (64.138) Epoch: [8][630/5809] Time 0.842 (0.453) Data 0.777 (0.373) Loss 2.7052 (2.7471) Prec@1 33.203 (34.045) Prec@5 66.797 (64.136) Epoch: [8][640/5809] Time 0.260 (0.453) Data 0.199 (0.373) Loss 2.6624 (2.7472) Prec@1 35.547 (34.048) Prec@5 65.625 (64.134) Epoch: [8][650/5809] Time 0.786 (0.455) Data 0.726 (0.375) Loss 2.8242 (2.7479) Prec@1 32.031 (34.044) Prec@5 57.812 (64.120) Epoch: [8][660/5809] Time 0.217 (0.454) Data 0.159 (0.375) Loss 2.7966 (2.7484) Prec@1 33.203 (34.041) Prec@5 62.891 (64.115) Epoch: [8][670/5809] Time 0.951 (0.455) Data 0.892 (0.376) Loss 2.7136 (2.7484) Prec@1 33.984 (34.042) Prec@5 60.547 (64.103) Epoch: [8][680/5809] Time 0.198 (0.455) Data 0.138 (0.376) Loss 2.7875 (2.7496) Prec@1 33.984 (34.004) Prec@5 67.188 (64.098) Epoch: [8][690/5809] Time 1.310 (0.456) Data 1.242 (0.378) Loss 2.9043 (2.7501) Prec@1 28.516 (33.984) Prec@5 59.766 (64.087) Epoch: [8][700/5809] Time 0.165 (0.456) Data 0.099 (0.377) Loss 2.6998 (2.7504) Prec@1 35.547 (33.979) Prec@5 67.969 (64.088) Epoch: [8][710/5809] Time 0.926 (0.457) Data 0.867 (0.379) Loss 2.7878 (2.7510) Prec@1 34.375 (33.961) Prec@5 64.062 (64.075) Epoch: [8][720/5809] Time 0.134 (0.456) Data 0.001 (0.378) Loss 2.6616 (2.7510) Prec@1 35.547 (33.960) Prec@5 66.797 (64.081) Epoch: [8][730/5809] Time 0.972 (0.457) Data 0.909 (0.379) Loss 2.8872 (2.7503) Prec@1 30.859 (33.967) Prec@5 59.375 (64.083) Epoch: [8][740/5809] Time 0.133 (0.456) Data 0.043 (0.378) Loss 2.7900 (2.7515) Prec@1 32.422 (33.961) Prec@5 60.938 (64.065) Epoch: [8][750/5809] Time 0.785 (0.457) Data 0.724 (0.379) Loss 2.8187 (2.7517) Prec@1 33.203 (33.974) Prec@5 61.328 (64.049) Epoch: [8][760/5809] Time 0.132 (0.456) Data 0.001 (0.378) Loss 2.9382 (2.7528) Prec@1 29.297 (33.954) Prec@5 59.375 (64.009) Epoch: [8][770/5809] Time 0.319 (0.456) Data 0.261 (0.378) Loss 2.7012 (2.7528) Prec@1 35.547 (33.952) Prec@5 64.453 (64.012) Epoch: [8][780/5809] Time 0.133 (0.456) Data 0.001 (0.378) Loss 2.6591 (2.7526) Prec@1 35.938 (33.953) Prec@5 65.234 (64.019) Epoch: [8][790/5809] Time 0.208 (0.456) Data 0.146 (0.378) Loss 2.5955 (2.7529) Prec@1 35.938 (33.943) Prec@5 67.188 (64.013) Epoch: [8][800/5809] Time 0.235 (0.456) Data 0.176 (0.378) Loss 2.7164 (2.7529) Prec@1 34.766 (33.945) Prec@5 61.719 (64.013) Epoch: [8][810/5809] Time 0.628 (0.456) Data 0.569 (0.379) Loss 2.4248 (2.7523) Prec@1 35.938 (33.945) Prec@5 69.531 (64.027) Epoch: [8][820/5809] Time 0.131 (0.456) Data 0.044 (0.378) Loss 2.9640 (2.7527) Prec@1 27.344 (33.934) Prec@5 57.812 (64.023) Epoch: [8][830/5809] Time 0.628 (0.457) Data 0.568 (0.379) Loss 2.7258 (2.7519) Prec@1 35.938 (33.938) Prec@5 64.453 (64.046) Epoch: [8][840/5809] Time 0.388 (0.456) Data 0.326 (0.378) Loss 2.5505 (2.7515) Prec@1 35.547 (33.934) Prec@5 67.969 (64.063) Epoch: [8][850/5809] Time 0.133 (0.456) Data 0.045 (0.379) Loss 2.7228 (2.7516) Prec@1 34.375 (33.937) Prec@5 63.281 (64.055) Epoch: [8][860/5809] Time 0.363 (0.456) Data 0.305 (0.379) Loss 2.6912 (2.7520) Prec@1 31.250 (33.929) Prec@5 63.281 (64.053) Epoch: [8][870/5809] Time 0.346 (0.456) Data 0.283 (0.378) Loss 2.7295 (2.7522) Prec@1 35.156 (33.927) Prec@5 66.016 (64.051) Epoch: [8][880/5809] Time 0.350 (0.456) Data 0.291 (0.379) Loss 2.8099 (2.7531) Prec@1 33.984 (33.922) Prec@5 61.719 (64.035) Epoch: [8][890/5809] Time 0.133 (0.456) Data 0.001 (0.379) Loss 2.8498 (2.7532) Prec@1 31.250 (33.923) Prec@5 62.500 (64.038) Epoch: [8][900/5809] Time 0.786 (0.457) Data 0.726 (0.379) Loss 2.7372 (2.7529) Prec@1 33.594 (33.924) Prec@5 66.406 (64.046) Epoch: [8][910/5809] Time 0.132 (0.456) Data 0.001 (0.379) Loss 2.8939 (2.7527) Prec@1 29.688 (33.928) Prec@5 66.797 (64.053) Epoch: [8][920/5809] Time 1.032 (0.457) Data 0.973 (0.380) Loss 2.6754 (2.7529) Prec@1 35.938 (33.924) Prec@5 65.625 (64.045) Epoch: [8][930/5809] Time 0.185 (0.457) Data 0.126 (0.380) Loss 2.8616 (2.7533) Prec@1 30.469 (33.912) Prec@5 64.844 (64.035) Epoch: [8][940/5809] Time 0.923 (0.457) Data 0.864 (0.380) Loss 2.8200 (2.7537) Prec@1 33.594 (33.903) Prec@5 59.375 (64.027) Epoch: [8][950/5809] Time 0.316 (0.457) Data 0.257 (0.380) Loss 2.6372 (2.7533) Prec@1 36.328 (33.919) Prec@5 69.141 (64.042) Epoch: [8][960/5809] Time 1.439 (0.458) Data 1.374 (0.380) Loss 2.7400 (2.7534) Prec@1 36.328 (33.912) Prec@5 66.797 (64.049) Epoch: [8][970/5809] Time 0.133 (0.458) Data 0.043 (0.380) Loss 2.6712 (2.7529) Prec@1 37.500 (33.922) Prec@5 65.625 (64.066) Epoch: [8][980/5809] Time 1.570 (0.459) Data 1.512 (0.381) Loss 2.5095 (2.7528) Prec@1 38.281 (33.910) Prec@5 69.141 (64.069) Epoch: [8][990/5809] Time 0.398 (0.459) Data 0.338 (0.380) Loss 2.7516 (2.7527) Prec@1 32.031 (33.911) Prec@5 65.234 (64.068) Epoch: [8][1000/5809] Time 1.540 (0.459) Data 1.474 (0.381) Loss 2.6658 (2.7522) Prec@1 35.156 (33.918) Prec@5 67.578 (64.074) Epoch: [8][1010/5809] Time 0.133 (0.459) Data 0.001 (0.381) Loss 2.7623 (2.7523) Prec@1 30.078 (33.911) Prec@5 62.891 (64.070) Epoch: [8][1020/5809] Time 1.852 (0.461) Data 1.790 (0.382) Loss 2.5909 (2.7528) Prec@1 34.766 (33.896) Prec@5 68.750 (64.067) Epoch: [8][1030/5809] Time 0.272 (0.461) Data 0.209 (0.382) Loss 2.8114 (2.7530) Prec@1 34.766 (33.896) Prec@5 62.891 (64.052) Epoch: [8][1040/5809] Time 1.589 (0.462) Data 1.528 (0.384) Loss 2.9443 (2.7529) Prec@1 29.688 (33.899) Prec@5 64.844 (64.052) Epoch: [8][1050/5809] Time 0.676 (0.463) Data 0.616 (0.384) Loss 2.9147 (2.7529) Prec@1 32.031 (33.894) Prec@5 58.984 (64.048) Epoch: [8][1060/5809] Time 1.003 (0.464) Data 0.940 (0.385) Loss 2.6997 (2.7530) Prec@1 37.500 (33.897) Prec@5 64.844 (64.043) Epoch: [8][1070/5809] Time 0.132 (0.464) Data 0.043 (0.386) Loss 2.8669 (2.7529) Prec@1 33.203 (33.904) Prec@5 61.328 (64.041) Epoch: [8][1080/5809] Time 1.372 (0.466) Data 1.310 (0.387) Loss 2.6961 (2.7527) Prec@1 34.375 (33.907) Prec@5 65.625 (64.042) Epoch: [8][1090/5809] Time 0.134 (0.467) Data 0.001 (0.388) Loss 2.6324 (2.7524) Prec@1 33.984 (33.910) Prec@5 64.844 (64.041) Epoch: [8][1100/5809] Time 1.677 (0.468) Data 1.615 (0.390) Loss 2.8623 (2.7522) Prec@1 32.812 (33.924) Prec@5 60.547 (64.047) Epoch: [8][1110/5809] Time 0.132 (0.469) Data 0.001 (0.390) Loss 2.6232 (2.7521) Prec@1 40.625 (33.933) Prec@5 61.719 (64.045) Epoch: [8][1120/5809] Time 1.359 (0.470) Data 1.296 (0.391) Loss 2.6594 (2.7514) Prec@1 39.062 (33.945) Prec@5 66.406 (64.048) Epoch: [8][1130/5809] Time 0.133 (0.471) Data 0.001 (0.392) Loss 2.7841 (2.7512) Prec@1 32.812 (33.940) Prec@5 62.891 (64.057) Epoch: [8][1140/5809] Time 0.668 (0.472) Data 0.604 (0.393) Loss 2.5561 (2.7508) Prec@1 35.938 (33.944) Prec@5 67.578 (64.053) Epoch: [8][1150/5809] Time 0.137 (0.473) Data 0.074 (0.394) Loss 2.8492 (2.7505) Prec@1 30.078 (33.950) Prec@5 63.672 (64.065) Epoch: [8][1160/5809] Time 1.204 (0.476) Data 1.145 (0.397) Loss 2.7680 (2.7512) Prec@1 33.203 (33.941) Prec@5 66.016 (64.064) Epoch: [8][1170/5809] Time 0.833 (0.477) Data 0.775 (0.399) Loss 2.7466 (2.7511) Prec@1 30.859 (33.941) Prec@5 62.891 (64.068) Epoch: [8][1180/5809] Time 1.276 (0.479) Data 1.215 (0.401) Loss 2.7165 (2.7510) Prec@1 33.594 (33.944) Prec@5 63.281 (64.072) Epoch: [8][1190/5809] Time 0.810 (0.481) Data 0.751 (0.402) Loss 2.8017 (2.7502) Prec@1 32.422 (33.966) Prec@5 64.844 (64.085) Epoch: [8][1200/5809] Time 0.547 (0.482) Data 0.483 (0.404) Loss 2.6151 (2.7501) Prec@1 34.766 (33.960) Prec@5 62.891 (64.086) Epoch: [8][1210/5809] Time 0.401 (0.484) Data 0.342 (0.406) Loss 2.7879 (2.7505) Prec@1 34.766 (33.959) Prec@5 61.719 (64.081) Epoch: [8][1220/5809] Time 1.252 (0.487) Data 1.193 (0.409) Loss 2.6655 (2.7503) Prec@1 33.594 (33.964) Prec@5 64.062 (64.083) Epoch: [8][1230/5809] Time 0.134 (0.488) Data 0.046 (0.410) Loss 2.5255 (2.7501) Prec@1 33.594 (33.954) Prec@5 69.922 (64.081) Epoch: [8][1240/5809] Time 2.354 (0.492) Data 2.295 (0.414) Loss 2.8992 (2.7496) Prec@1 37.500 (33.960) Prec@5 60.938 (64.091) Epoch: [8][1250/5809] Time 0.133 (0.493) Data 0.044 (0.415) Loss 2.6534 (2.7493) Prec@1 36.328 (33.959) Prec@5 67.188 (64.097) Epoch: [8][1260/5809] Time 2.756 (0.497) Data 2.693 (0.419) Loss 2.9422 (2.7496) Prec@1 36.719 (33.959) Prec@5 63.281 (64.103) Epoch: [8][1270/5809] Time 0.134 (0.502) Data 0.001 (0.423) Loss 2.9425 (2.7499) Prec@1 31.641 (33.944) Prec@5 60.156 (64.096) Epoch: [8][1280/5809] Time 2.813 (0.506) Data 2.750 (0.428) Loss 2.7943 (2.7500) Prec@1 34.766 (33.940) Prec@5 64.062 (64.099) Epoch: [8][1290/5809] Time 1.112 (0.509) Data 1.052 (0.431) Loss 2.5335 (2.7502) Prec@1 39.453 (33.933) Prec@5 68.750 (64.098) Epoch: [8][1300/5809] Time 1.513 (0.513) Data 1.453 (0.434) Loss 2.8112 (2.7504) Prec@1 34.375 (33.924) Prec@5 64.062 (64.096) Epoch: [8][1310/5809] Time 0.260 (0.515) Data 0.201 (0.437) Loss 2.7008 (2.7507) Prec@1 37.891 (33.923) Prec@5 67.969 (64.103) Epoch: [8][1320/5809] Time 1.272 (0.518) Data 1.214 (0.440) Loss 2.6572 (2.7502) Prec@1 37.891 (33.922) Prec@5 66.016 (64.115) Epoch: [8][1330/5809] Time 1.480 (0.522) Data 1.421 (0.445) Loss 2.7776 (2.7504) Prec@1 33.203 (33.922) Prec@5 62.891 (64.109) Epoch: [8][1340/5809] Time 1.955 (0.526) Data 1.895 (0.448) Loss 2.7442 (2.7504) Prec@1 34.766 (33.932) Prec@5 64.062 (64.110) Epoch: [8][1350/5809] Time 0.685 (0.528) Data 0.626 (0.450) Loss 2.7530 (2.7501) Prec@1 35.547 (33.939) Prec@5 65.625 (64.115) Epoch: [8][1360/5809] Time 1.587 (0.530) Data 1.522 (0.453) Loss 2.8446 (2.7504) Prec@1 29.297 (33.931) Prec@5 64.062 (64.116) Epoch: [8][1370/5809] Time 1.073 (0.533) Data 1.014 (0.455) Loss 2.9328 (2.7510) Prec@1 31.250 (33.912) Prec@5 60.156 (64.113) Epoch: [8][1380/5809] Time 0.718 (0.537) Data 0.655 (0.459) Loss 2.8811 (2.7511) Prec@1 34.766 (33.913) Prec@5 61.328 (64.113) Epoch: [8][1390/5809] Time 1.998 (0.540) Data 1.933 (0.462) Loss 2.6490 (2.7513) Prec@1 36.328 (33.911) Prec@5 68.750 (64.105) Epoch: [8][1400/5809] Time 0.132 (0.543) Data 0.047 (0.465) Loss 2.7638 (2.7513) Prec@1 33.594 (33.921) Prec@5 62.500 (64.100) Epoch: [8][1410/5809] Time 1.862 (0.546) Data 1.803 (0.469) Loss 2.7472 (2.7512) Prec@1 33.984 (33.922) Prec@5 64.844 (64.104) Epoch: [8][1420/5809] Time 0.132 (0.549) Data 0.001 (0.471) Loss 2.7854 (2.7513) Prec@1 34.375 (33.918) Prec@5 65.234 (64.106) Epoch: [8][1430/5809] Time 2.973 (0.552) Data 2.905 (0.474) Loss 2.7090 (2.7510) Prec@1 37.891 (33.928) Prec@5 63.281 (64.114) Epoch: [8][1440/5809] Time 0.447 (0.553) Data 0.387 (0.475) Loss 2.7103 (2.7509) Prec@1 32.422 (33.928) Prec@5 62.500 (64.118) Epoch: [8][1450/5809] Time 1.642 (0.555) Data 1.583 (0.477) Loss 2.6715 (2.7511) Prec@1 32.422 (33.917) Prec@5 65.234 (64.110) Epoch: [8][1460/5809] Time 0.503 (0.556) Data 0.444 (0.478) Loss 2.8215 (2.7511) Prec@1 33.984 (33.922) Prec@5 62.500 (64.110) Epoch: [8][1470/5809] Time 1.591 (0.558) Data 1.532 (0.480) Loss 2.9406 (2.7512) Prec@1 30.859 (33.921) Prec@5 62.109 (64.107) Epoch: [8][1480/5809] Time 0.179 (0.559) Data 0.120 (0.482) Loss 2.6974 (2.7512) Prec@1 36.719 (33.925) Prec@5 66.406 (64.113) Epoch: [8][1490/5809] Time 2.976 (0.563) Data 2.915 (0.486) Loss 2.8644 (2.7511) Prec@1 32.031 (33.924) Prec@5 60.938 (64.116) Epoch: [8][1500/5809] Time 0.249 (0.565) Data 0.190 (0.488) Loss 2.6944 (2.7512) Prec@1 36.719 (33.919) Prec@5 67.188 (64.113) Epoch: [8][1510/5809] Time 1.845 (0.567) Data 1.787 (0.489) Loss 2.9026 (2.7513) Prec@1 34.375 (33.914) Prec@5 62.500 (64.113) Epoch: [8][1520/5809] Time 0.133 (0.568) Data 0.001 (0.490) Loss 2.7702 (2.7510) Prec@1 29.297 (33.922) Prec@5 62.109 (64.122) Epoch: [8][1530/5809] Time 0.942 (0.569) Data 0.883 (0.492) Loss 2.9424 (2.7508) Prec@1 30.078 (33.933) Prec@5 60.156 (64.122) Epoch: [8][1540/5809] Time 0.298 (0.572) Data 0.240 (0.494) Loss 2.7964 (2.7511) Prec@1 36.328 (33.928) Prec@5 64.062 (64.111) Epoch: [8][1550/5809] Time 0.471 (0.574) Data 0.411 (0.496) Loss 2.8168 (2.7509) Prec@1 31.641 (33.927) Prec@5 61.328 (64.119) Epoch: [8][1560/5809] Time 0.664 (0.577) Data 0.605 (0.500) Loss 2.6625 (2.7511) Prec@1 34.375 (33.923) Prec@5 66.797 (64.120) Epoch: [8][1570/5809] Time 1.328 (0.580) Data 1.270 (0.502) Loss 2.6532 (2.7511) Prec@1 33.984 (33.916) Prec@5 64.453 (64.121) Epoch: [8][1580/5809] Time 0.462 (0.583) Data 0.404 (0.505) Loss 2.9277 (2.7511) Prec@1 32.422 (33.910) Prec@5 60.547 (64.122) Epoch: [8][1590/5809] Time 1.421 (0.586) Data 1.362 (0.509) Loss 2.5172 (2.7508) Prec@1 38.672 (33.912) Prec@5 69.922 (64.123) Epoch: [8][1600/5809] Time 1.215 (0.589) Data 1.156 (0.512) Loss 2.6713 (2.7511) Prec@1 35.938 (33.909) Prec@5 66.016 (64.116) Epoch: [8][1610/5809] Time 0.132 (0.592) Data 0.001 (0.515) Loss 2.7295 (2.7512) Prec@1 32.812 (33.899) Prec@5 63.672 (64.111) Epoch: [8][1620/5809] Time 1.531 (0.594) Data 1.471 (0.517) Loss 2.6051 (2.7514) Prec@1 36.328 (33.898) Prec@5 66.797 (64.102) Epoch: [8][1630/5809] Time 0.162 (0.596) Data 0.103 (0.519) Loss 2.8630 (2.7513) Prec@1 32.422 (33.903) Prec@5 61.328 (64.099) Epoch: [8][1640/5809] Time 1.773 (0.598) Data 1.714 (0.521) Loss 2.5388 (2.7510) Prec@1 39.844 (33.906) Prec@5 67.578 (64.103) Epoch: [8][1650/5809] Time 0.132 (0.600) Data 0.001 (0.523) Loss 2.7287 (2.7514) Prec@1 33.594 (33.904) Prec@5 65.234 (64.099) Epoch: [8][1660/5809] Time 1.461 (0.602) Data 1.398 (0.525) Loss 2.8287 (2.7518) Prec@1 32.031 (33.903) Prec@5 62.500 (64.090) Epoch: [8][1670/5809] Time 0.512 (0.605) Data 0.454 (0.528) Loss 2.5687 (2.7519) Prec@1 35.547 (33.897) Prec@5 66.016 (64.085) Epoch: [8][1680/5809] Time 0.865 (0.608) Data 0.804 (0.531) Loss 2.7688 (2.7515) Prec@1 31.250 (33.901) Prec@5 65.234 (64.098) Epoch: [8][1690/5809] Time 0.134 (0.609) Data 0.044 (0.533) Loss 2.7022 (2.7516) Prec@1 31.250 (33.895) Prec@5 63.672 (64.092) Epoch: [8][1700/5809] Time 0.436 (0.611) Data 0.374 (0.534) Loss 2.7983 (2.7520) Prec@1 31.641 (33.889) Prec@5 65.234 (64.091) Epoch: [8][1710/5809] Time 0.137 (0.614) Data 0.001 (0.537) Loss 2.8089 (2.7521) Prec@1 36.719 (33.891) Prec@5 64.062 (64.092) Epoch: [8][1720/5809] Time 0.133 (0.617) Data 0.001 (0.540) Loss 3.0077 (2.7523) Prec@1 32.422 (33.892) Prec@5 64.062 (64.092) Epoch: [8][1730/5809] Time 2.399 (0.620) Data 2.336 (0.543) Loss 2.7820 (2.7524) Prec@1 35.156 (33.893) Prec@5 65.625 (64.092) Epoch: [8][1740/5809] Time 0.284 (0.622) Data 0.226 (0.546) Loss 2.8980 (2.7525) Prec@1 31.250 (33.894) Prec@5 59.766 (64.091) Epoch: [8][1750/5809] Time 1.724 (0.625) Data 1.661 (0.548) Loss 2.9255 (2.7529) Prec@1 26.562 (33.891) Prec@5 61.328 (64.084) Epoch: [8][1760/5809] Time 0.611 (0.627) Data 0.552 (0.550) Loss 2.6020 (2.7529) Prec@1 36.719 (33.894) Prec@5 67.969 (64.085) Epoch: [8][1770/5809] Time 0.958 (0.630) Data 0.900 (0.554) Loss 2.7279 (2.7530) Prec@1 30.078 (33.886) Prec@5 65.234 (64.080) Epoch: [8][1780/5809] Time 1.496 (0.633) Data 1.436 (0.556) Loss 2.8068 (2.7531) Prec@1 29.688 (33.885) Prec@5 61.719 (64.077) Epoch: [8][1790/5809] Time 0.966 (0.634) Data 0.907 (0.558) Loss 2.9040 (2.7535) Prec@1 29.688 (33.883) Prec@5 60.938 (64.068) Epoch: [8][1800/5809] Time 1.773 (0.635) Data 1.714 (0.559) Loss 2.8952 (2.7539) Prec@1 29.297 (33.874) Prec@5 60.938 (64.060) Epoch: [8][1810/5809] Time 0.472 (0.635) Data 0.413 (0.559) Loss 2.7612 (2.7538) Prec@1 33.203 (33.883) Prec@5 65.625 (64.059) Epoch: [8][1820/5809] Time 1.860 (0.636) Data 1.796 (0.560) Loss 2.6805 (2.7536) Prec@1 31.641 (33.885) Prec@5 68.359 (64.061) Epoch: [8][1830/5809] Time 1.072 (0.636) Data 1.007 (0.560) Loss 2.5442 (2.7533) Prec@1 32.422 (33.888) Prec@5 69.141 (64.067) Epoch: [8][1840/5809] Time 1.273 (0.636) Data 1.214 (0.560) Loss 2.6073 (2.7533) Prec@1 37.500 (33.896) Prec@5 67.969 (64.069) Epoch: [8][1850/5809] Time 1.003 (0.637) Data 0.942 (0.561) Loss 2.8116 (2.7536) Prec@1 30.859 (33.887) Prec@5 64.453 (64.062) Epoch: [8][1860/5809] Time 0.699 (0.637) Data 0.640 (0.562) Loss 2.6860 (2.7536) Prec@1 35.156 (33.883) Prec@5 60.547 (64.062) Epoch: [8][1870/5809] Time 0.875 (0.639) Data 0.817 (0.563) Loss 2.7837 (2.7537) Prec@1 37.891 (33.881) Prec@5 66.016 (64.061) Epoch: [8][1880/5809] Time 1.098 (0.642) Data 1.037 (0.566) Loss 2.6055 (2.7536) Prec@1 35.938 (33.886) Prec@5 70.703 (64.069) Epoch: [8][1890/5809] Time 1.171 (0.644) Data 1.112 (0.568) Loss 2.6330 (2.7538) Prec@1 37.109 (33.882) Prec@5 66.406 (64.062) Epoch: [8][1900/5809] Time 0.469 (0.644) Data 0.403 (0.569) Loss 2.7782 (2.7540) Prec@1 37.109 (33.884) Prec@5 64.844 (64.064) Epoch: [8][1910/5809] Time 2.365 (0.646) Data 2.306 (0.571) Loss 2.8914 (2.7545) Prec@1 30.078 (33.869) Prec@5 56.641 (64.050) Epoch: [8][1920/5809] Time 0.679 (0.647) Data 0.621 (0.572) Loss 2.9039 (2.7547) Prec@1 32.422 (33.868) Prec@5 57.812 (64.043) Epoch: [8][1930/5809] Time 2.576 (0.650) Data 2.509 (0.575) Loss 2.6790 (2.7550) Prec@1 38.281 (33.876) Prec@5 65.234 (64.032) Epoch: [8][1940/5809] Time 0.420 (0.651) Data 0.360 (0.576) Loss 2.9386 (2.7553) Prec@1 32.812 (33.869) Prec@5 57.812 (64.023) Epoch: [8][1950/5809] Time 2.327 (0.653) Data 2.268 (0.578) Loss 2.8941 (2.7552) Prec@1 35.156 (33.868) Prec@5 61.719 (64.028) Epoch: [8][1960/5809] Time 0.131 (0.656) Data 0.044 (0.580) Loss 2.7194 (2.7551) Prec@1 36.719 (33.868) Prec@5 63.281 (64.032) Epoch: [8][1970/5809] Time 2.271 (0.658) Data 2.211 (0.583) Loss 2.9100 (2.7553) Prec@1 27.344 (33.861) Prec@5 64.453 (64.029) Epoch: [8][1980/5809] Time 0.139 (0.660) Data 0.001 (0.584) Loss 2.6054 (2.7553) Prec@1 36.719 (33.859) Prec@5 66.797 (64.030) Epoch: [8][1990/5809] Time 0.132 (0.661) Data 0.001 (0.585) Loss 2.6589 (2.7551) Prec@1 39.844 (33.864) Prec@5 64.844 (64.034) Epoch: [8][2000/5809] Time 0.503 (0.663) Data 0.443 (0.588) Loss 3.0401 (2.7552) Prec@1 28.516 (33.862) Prec@5 55.859 (64.034) Epoch: [8][2010/5809] Time 0.996 (0.666) Data 0.937 (0.590) Loss 2.8363 (2.7550) Prec@1 34.766 (33.867) Prec@5 66.797 (64.033) Epoch: [8][2020/5809] Time 1.266 (0.669) Data 1.207 (0.593) Loss 2.7849 (2.7552) Prec@1 35.156 (33.867) Prec@5 66.797 (64.034) Epoch: [8][2030/5809] Time 1.243 (0.671) Data 1.184 (0.596) Loss 2.7692 (2.7550) Prec@1 33.984 (33.873) Prec@5 62.109 (64.039) Epoch: [8][2040/5809] Time 0.726 (0.673) Data 0.665 (0.598) Loss 2.8159 (2.7548) Prec@1 33.984 (33.877) Prec@5 62.891 (64.041) Epoch: [8][2050/5809] Time 1.367 (0.675) Data 1.300 (0.600) Loss 2.8247 (2.7548) Prec@1 33.594 (33.871) Prec@5 64.844 (64.045) Epoch: [8][2060/5809] Time 0.132 (0.676) Data 0.001 (0.600) Loss 2.7668 (2.7547) Prec@1 28.125 (33.869) Prec@5 60.938 (64.044) Epoch: [8][2070/5809] Time 1.548 (0.678) Data 1.489 (0.603) Loss 2.8565 (2.7543) Prec@1 33.594 (33.875) Prec@5 61.328 (64.051) Epoch: [8][2080/5809] Time 0.475 (0.680) Data 0.416 (0.605) Loss 2.7821 (2.7544) Prec@1 32.812 (33.874) Prec@5 64.062 (64.051) Epoch: [8][2090/5809] Time 0.389 (0.683) Data 0.330 (0.608) Loss 2.8971 (2.7543) Prec@1 28.516 (33.872) Prec@5 60.547 (64.055) Epoch: [8][2100/5809] Time 2.203 (0.686) Data 2.143 (0.611) Loss 2.7788 (2.7544) Prec@1 34.375 (33.868) Prec@5 66.406 (64.052) Epoch: [8][2110/5809] Time 0.617 (0.688) Data 0.558 (0.613) Loss 2.7239 (2.7545) Prec@1 34.375 (33.867) Prec@5 66.406 (64.050) Epoch: [8][2120/5809] Time 2.026 (0.690) Data 1.960 (0.615) Loss 2.7605 (2.7545) Prec@1 35.156 (33.870) Prec@5 64.453 (64.046) Epoch: [8][2130/5809] Time 0.421 (0.692) Data 0.363 (0.617) Loss 2.7289 (2.7550) Prec@1 35.938 (33.867) Prec@5 66.406 (64.037) Epoch: [8][2140/5809] Time 1.314 (0.694) Data 1.252 (0.619) Loss 2.8144 (2.7547) Prec@1 37.891 (33.877) Prec@5 68.359 (64.040) Epoch: [8][2150/5809] Time 0.421 (0.695) Data 0.361 (0.620) Loss 2.6403 (2.7546) Prec@1 35.156 (33.877) Prec@5 64.062 (64.041) Epoch: [8][2160/5809] Time 1.482 (0.696) Data 1.422 (0.621) Loss 2.9108 (2.7547) Prec@1 29.688 (33.880) Prec@5 59.375 (64.039) Epoch: [8][2170/5809] Time 0.134 (0.697) Data 0.001 (0.622) Loss 2.8587 (2.7551) Prec@1 23.828 (33.864) Prec@5 62.500 (64.033) Epoch: [8][2180/5809] Time 1.057 (0.698) Data 0.998 (0.623) Loss 2.5468 (2.7546) Prec@1 38.672 (33.873) Prec@5 65.234 (64.039) Epoch: [8][2190/5809] Time 0.492 (0.700) Data 0.433 (0.625) Loss 2.6780 (2.7545) Prec@1 35.156 (33.876) Prec@5 66.016 (64.040) Epoch: [8][2200/5809] Time 0.609 (0.701) Data 0.550 (0.627) Loss 2.7289 (2.7543) Prec@1 35.547 (33.871) Prec@5 63.281 (64.039) Epoch: [8][2210/5809] Time 1.119 (0.702) Data 1.056 (0.628) Loss 2.9297 (2.7543) Prec@1 29.688 (33.873) Prec@5 60.938 (64.038) Epoch: [8][2220/5809] Time 1.032 (0.703) Data 0.972 (0.629) Loss 2.9022 (2.7544) Prec@1 30.469 (33.867) Prec@5 60.938 (64.041) Epoch: [8][2230/5809] Time 1.266 (0.705) Data 1.207 (0.630) Loss 2.8449 (2.7545) Prec@1 31.641 (33.868) Prec@5 62.891 (64.040) Epoch: [8][2240/5809] Time 1.028 (0.705) Data 0.968 (0.631) Loss 2.7705 (2.7542) Prec@1 32.031 (33.867) Prec@5 66.016 (64.040) Epoch: [8][2250/5809] Time 1.313 (0.707) Data 1.254 (0.633) Loss 2.8361 (2.7544) Prec@1 32.422 (33.868) Prec@5 66.406 (64.032) Epoch: [8][2260/5809] Time 1.050 (0.708) Data 0.992 (0.634) Loss 2.6863 (2.7544) Prec@1 36.719 (33.872) Prec@5 62.500 (64.030) Epoch: [8][2270/5809] Time 0.315 (0.709) Data 0.256 (0.635) Loss 2.8614 (2.7544) Prec@1 34.766 (33.871) Prec@5 62.500 (64.029) Epoch: [8][2280/5809] Time 0.163 (0.710) Data 0.104 (0.636) Loss 2.6184 (2.7542) Prec@1 35.547 (33.876) Prec@5 67.969 (64.029) Epoch: [8][2290/5809] Time 1.231 (0.713) Data 1.172 (0.639) Loss 2.8367 (2.7544) Prec@1 33.203 (33.870) Prec@5 64.453 (64.031) Epoch: [8][2300/5809] Time 0.133 (0.714) Data 0.044 (0.640) Loss 2.8345 (2.7546) Prec@1 33.203 (33.870) Prec@5 59.375 (64.025) Epoch: [8][2310/5809] Time 0.133 (0.716) Data 0.001 (0.641) Loss 2.5652 (2.7543) Prec@1 35.938 (33.874) Prec@5 67.578 (64.027) Epoch: [8][2320/5809] Time 0.225 (0.716) Data 0.166 (0.642) Loss 2.7108 (2.7546) Prec@1 33.984 (33.867) Prec@5 63.281 (64.022) Epoch: [8][2330/5809] Time 0.206 (0.719) Data 0.145 (0.645) Loss 3.0830 (2.7551) Prec@1 29.297 (33.859) Prec@5 61.719 (64.017) Epoch: [8][2340/5809] Time 0.152 (0.719) Data 0.090 (0.645) Loss 2.6495 (2.7550) Prec@1 36.328 (33.856) Prec@5 66.016 (64.018) Epoch: [8][2350/5809] Time 0.133 (0.721) Data 0.001 (0.647) Loss 3.0563 (2.7553) Prec@1 30.469 (33.854) Prec@5 56.250 (64.014) Epoch: [8][2360/5809] Time 0.131 (0.721) Data 0.001 (0.647) Loss 2.6193 (2.7557) Prec@1 36.719 (33.847) Prec@5 68.359 (64.006) Epoch: [8][2370/5809] Time 0.146 (0.722) Data 0.001 (0.648) Loss 2.7513 (2.7555) Prec@1 33.594 (33.851) Prec@5 63.672 (64.006) Epoch: [8][2380/5809] Time 0.133 (0.722) Data 0.001 (0.648) Loss 2.7485 (2.7555) Prec@1 32.812 (33.849) Prec@5 62.500 (64.004) Epoch: [8][2390/5809] Time 1.053 (0.724) Data 0.990 (0.649) Loss 2.8355 (2.7556) Prec@1 32.031 (33.845) Prec@5 64.844 (64.002) Epoch: [8][2400/5809] Time 0.307 (0.724) Data 0.248 (0.649) Loss 2.8702 (2.7558) Prec@1 33.984 (33.842) Prec@5 62.891 (63.998) Epoch: [8][2410/5809] Time 0.588 (0.725) Data 0.530 (0.650) Loss 2.7203 (2.7558) Prec@1 35.938 (33.846) Prec@5 61.719 (63.999) Epoch: [8][2420/5809] Time 0.133 (0.725) Data 0.001 (0.651) Loss 2.9250 (2.7559) Prec@1 29.688 (33.842) Prec@5 58.984 (63.995) Epoch: [8][2430/5809] Time 1.191 (0.726) Data 1.132 (0.652) Loss 2.7222 (2.7557) Prec@1 32.422 (33.846) Prec@5 66.797 (63.998) Epoch: [8][2440/5809] Time 0.966 (0.730) Data 0.907 (0.655) Loss 3.0275 (2.7558) Prec@1 29.297 (33.847) Prec@5 60.547 (63.998) Epoch: [8][2450/5809] Time 3.154 (0.734) Data 3.092 (0.659) Loss 2.9624 (2.7561) Prec@1 30.859 (33.838) Prec@5 61.719 (63.993) Epoch: [8][2460/5809] Time 0.131 (0.735) Data 0.041 (0.661) Loss 2.6662 (2.7562) Prec@1 37.891 (33.840) Prec@5 64.453 (63.989) Epoch: [8][2470/5809] Time 1.290 (0.737) Data 1.230 (0.663) Loss 2.7354 (2.7560) Prec@1 36.328 (33.844) Prec@5 65.625 (63.991) Epoch: [8][2480/5809] Time 0.133 (0.738) Data 0.069 (0.664) Loss 2.8805 (2.7559) Prec@1 33.594 (33.844) Prec@5 58.594 (63.995) Epoch: [8][2490/5809] Time 0.339 (0.739) Data 0.280 (0.664) Loss 2.6855 (2.7557) Prec@1 36.719 (33.846) Prec@5 66.797 (64.003) Epoch: [8][2500/5809] Time 0.132 (0.740) Data 0.053 (0.665) Loss 2.7885 (2.7556) Prec@1 28.906 (33.842) Prec@5 66.406 (64.008) Epoch: [8][2510/5809] Time 0.309 (0.740) Data 0.250 (0.665) Loss 2.5948 (2.7557) Prec@1 34.375 (33.842) Prec@5 66.406 (64.005) Epoch: [8][2520/5809] Time 0.496 (0.740) Data 0.437 (0.666) Loss 3.0997 (2.7560) Prec@1 28.516 (33.837) Prec@5 55.469 (64.000) Epoch: [8][2530/5809] Time 0.421 (0.740) Data 0.362 (0.666) Loss 2.6120 (2.7562) Prec@1 35.547 (33.832) Prec@5 66.406 (63.998) Epoch: [8][2540/5809] Time 0.300 (0.740) Data 0.241 (0.666) Loss 2.8967 (2.7561) Prec@1 30.469 (33.831) Prec@5 63.281 (63.999) Epoch: [8][2550/5809] Time 1.772 (0.740) Data 1.712 (0.666) Loss 2.8105 (2.7563) Prec@1 33.594 (33.825) Prec@5 65.625 (63.998) Epoch: [8][2560/5809] Time 0.134 (0.740) Data 0.001 (0.666) Loss 2.9491 (2.7562) Prec@1 30.859 (33.827) Prec@5 58.594 (63.998) Epoch: [8][2570/5809] Time 1.981 (0.740) Data 1.922 (0.666) Loss 2.5600 (2.7559) Prec@1 32.812 (33.832) Prec@5 68.359 (64.007) Epoch: [8][2580/5809] Time 0.305 (0.740) Data 0.246 (0.665) Loss 2.7766 (2.7558) Prec@1 35.156 (33.830) Prec@5 62.500 (64.008) Epoch: [8][2590/5809] Time 1.537 (0.740) Data 1.477 (0.665) Loss 2.8085 (2.7558) Prec@1 32.812 (33.830) Prec@5 60.938 (64.006) Epoch: [8][2600/5809] Time 0.139 (0.739) Data 0.001 (0.665) Loss 2.6258 (2.7559) Prec@1 35.156 (33.828) Prec@5 67.188 (64.005) Epoch: [8][2610/5809] Time 1.263 (0.740) Data 1.204 (0.666) Loss 2.7331 (2.7557) Prec@1 32.812 (33.828) Prec@5 63.281 (64.008) Epoch: [8][2620/5809] Time 0.193 (0.741) Data 0.133 (0.666) Loss 2.6758 (2.7559) Prec@1 32.812 (33.820) Prec@5 67.578 (64.002) Epoch: [8][2630/5809] Time 0.326 (0.741) Data 0.266 (0.667) Loss 2.6972 (2.7559) Prec@1 32.422 (33.819) Prec@5 65.234 (64.001) Epoch: [8][2640/5809] Time 1.289 (0.741) Data 1.229 (0.667) Loss 2.7319 (2.7560) Prec@1 35.156 (33.816) Prec@5 63.672 (63.999) Epoch: [8][2650/5809] Time 0.330 (0.741) Data 0.267 (0.667) Loss 2.6636 (2.7559) Prec@1 39.062 (33.820) Prec@5 66.406 (64.000) Epoch: [8][2660/5809] Time 1.277 (0.741) Data 1.218 (0.667) Loss 2.7717 (2.7561) Prec@1 32.812 (33.817) Prec@5 62.891 (64.000) Epoch: [8][2670/5809] Time 0.437 (0.740) Data 0.377 (0.666) Loss 2.9047 (2.7562) Prec@1 33.203 (33.817) Prec@5 60.156 (63.996) Epoch: [8][2680/5809] Time 1.198 (0.741) Data 1.139 (0.667) Loss 2.7798 (2.7562) Prec@1 35.547 (33.814) Prec@5 64.453 (63.998) Epoch: [8][2690/5809] Time 0.723 (0.742) Data 0.665 (0.668) Loss 2.7671 (2.7561) Prec@1 37.109 (33.820) Prec@5 62.500 (63.999) Epoch: [8][2700/5809] Time 2.003 (0.743) Data 1.940 (0.669) Loss 2.7036 (2.7562) Prec@1 33.594 (33.819) Prec@5 61.328 (63.994) Epoch: [8][2710/5809] Time 0.362 (0.744) Data 0.302 (0.670) Loss 2.6771 (2.7560) Prec@1 33.984 (33.818) Prec@5 64.062 (63.998) Epoch: [8][2720/5809] Time 2.000 (0.746) Data 1.941 (0.672) Loss 2.8600 (2.7562) Prec@1 28.125 (33.818) Prec@5 59.766 (63.994) Epoch: [8][2730/5809] Time 0.342 (0.747) Data 0.282 (0.673) Loss 2.5554 (2.7562) Prec@1 37.500 (33.818) Prec@5 69.141 (63.993) Epoch: [8][2740/5809] Time 0.828 (0.748) Data 0.769 (0.674) Loss 2.6705 (2.7562) Prec@1 32.812 (33.816) Prec@5 64.062 (63.997) Epoch: [8][2750/5809] Time 0.265 (0.750) Data 0.206 (0.676) Loss 2.8006 (2.7562) Prec@1 29.297 (33.816) Prec@5 64.062 (63.997) Epoch: [8][2760/5809] Time 0.363 (0.751) Data 0.303 (0.677) Loss 2.8044 (2.7561) Prec@1 28.906 (33.815) Prec@5 62.500 (63.999) Epoch: [8][2770/5809] Time 0.138 (0.753) Data 0.001 (0.679) Loss 2.8074 (2.7563) Prec@1 31.641 (33.812) Prec@5 64.844 (63.995) Epoch: [8][2780/5809] Time 0.564 (0.753) Data 0.505 (0.679) Loss 2.7276 (2.7562) Prec@1 36.328 (33.817) Prec@5 63.672 (64.000) Epoch: [8][2790/5809] Time 0.479 (0.754) Data 0.420 (0.680) Loss 2.6579 (2.7563) Prec@1 34.766 (33.818) Prec@5 65.625 (64.001) Epoch: [8][2800/5809] Time 1.206 (0.755) Data 1.143 (0.681) Loss 2.6541 (2.7564) Prec@1 33.203 (33.820) Prec@5 67.578 (64.001) Epoch: [8][2810/5809] Time 0.244 (0.755) Data 0.186 (0.681) Loss 2.5656 (2.7563) Prec@1 35.547 (33.818) Prec@5 67.578 (64.002) Epoch: [8][2820/5809] Time 1.489 (0.755) Data 1.422 (0.681) Loss 2.8182 (2.7563) Prec@1 30.078 (33.816) Prec@5 63.281 (64.001) Epoch: [8][2830/5809] Time 0.681 (0.755) Data 0.622 (0.681) Loss 2.7102 (2.7563) Prec@1 32.422 (33.811) Prec@5 62.891 (64.000) Epoch: [8][2840/5809] Time 0.846 (0.756) Data 0.782 (0.682) Loss 2.6982 (2.7564) Prec@1 39.062 (33.816) Prec@5 60.938 (63.996) Epoch: [8][2850/5809] Time 0.133 (0.756) Data 0.048 (0.682) Loss 2.8843 (2.7564) Prec@1 30.859 (33.814) Prec@5 61.328 (63.995) Epoch: [8][2860/5809] Time 1.213 (0.756) Data 1.146 (0.682) Loss 2.8987 (2.7566) Prec@1 29.297 (33.812) Prec@5 58.984 (63.988) Epoch: [8][2870/5809] Time 0.500 (0.756) Data 0.441 (0.683) Loss 2.6218 (2.7564) Prec@1 37.109 (33.816) Prec@5 71.094 (63.992) Epoch: [8][2880/5809] Time 2.098 (0.757) Data 2.039 (0.683) Loss 2.7837 (2.7562) Prec@1 33.984 (33.818) Prec@5 61.719 (63.995) Epoch: [8][2890/5809] Time 0.584 (0.757) Data 0.525 (0.683) Loss 2.7217 (2.7562) Prec@1 32.031 (33.817) Prec@5 65.625 (63.995) Epoch: [8][2900/5809] Time 0.974 (0.757) Data 0.916 (0.683) Loss 2.7873 (2.7562) Prec@1 33.984 (33.816) Prec@5 64.062 (63.997) Epoch: [8][2910/5809] Time 0.136 (0.756) Data 0.001 (0.683) Loss 2.9001 (2.7562) Prec@1 33.984 (33.821) Prec@5 61.719 (63.997) Epoch: [8][2920/5809] Time 1.187 (0.756) Data 1.128 (0.682) Loss 2.6655 (2.7564) Prec@1 32.812 (33.819) Prec@5 67.188 (63.999) Epoch: [8][2930/5809] Time 0.546 (0.756) Data 0.486 (0.682) Loss 2.6787 (2.7562) Prec@1 35.547 (33.824) Prec@5 68.359 (64.008) Epoch: [8][2940/5809] Time 1.553 (0.756) Data 1.494 (0.682) Loss 2.7803 (2.7562) Prec@1 35.156 (33.826) Prec@5 65.234 (64.010) Epoch: [8][2950/5809] Time 0.456 (0.755) Data 0.396 (0.681) Loss 2.8260 (2.7562) Prec@1 34.766 (33.826) Prec@5 63.672 (64.012) Epoch: [8][2960/5809] Time 1.991 (0.756) Data 1.932 (0.682) Loss 2.7310 (2.7562) Prec@1 33.594 (33.830) Prec@5 64.453 (64.011) Epoch: [8][2970/5809] Time 0.974 (0.756) Data 0.913 (0.682) Loss 2.5797 (2.7562) Prec@1 35.938 (33.829) Prec@5 67.578 (64.009) Epoch: [8][2980/5809] Time 2.630 (0.758) Data 2.572 (0.684) Loss 2.7222 (2.7561) Prec@1 32.422 (33.830) Prec@5 65.234 (64.010) Epoch: [8][2990/5809] Time 0.133 (0.758) Data 0.072 (0.684) Loss 2.8914 (2.7560) Prec@1 32.422 (33.830) Prec@5 60.938 (64.009) Epoch: [8][3000/5809] Time 2.463 (0.761) Data 2.403 (0.687) Loss 2.5928 (2.7559) Prec@1 35.547 (33.835) Prec@5 69.531 (64.011) Epoch: [8][3010/5809] Time 0.134 (0.761) Data 0.001 (0.687) Loss 2.7156 (2.7557) Prec@1 33.594 (33.841) Prec@5 63.672 (64.017) Epoch: [8][3020/5809] Time 2.436 (0.762) Data 2.378 (0.688) Loss 2.7438 (2.7556) Prec@1 33.594 (33.843) Prec@5 66.016 (64.021) Epoch: [8][3030/5809] Time 0.133 (0.762) Data 0.001 (0.688) Loss 2.7064 (2.7555) Prec@1 33.203 (33.848) Prec@5 62.891 (64.022) Epoch: [8][3040/5809] Time 1.681 (0.763) Data 1.622 (0.689) Loss 2.6789 (2.7555) Prec@1 36.328 (33.848) Prec@5 66.016 (64.022) Epoch: [8][3050/5809] Time 0.570 (0.762) Data 0.511 (0.688) Loss 2.9964 (2.7554) Prec@1 32.812 (33.851) Prec@5 55.469 (64.022) Epoch: [8][3060/5809] Time 1.599 (0.762) Data 1.540 (0.688) Loss 2.7766 (2.7552) Prec@1 30.859 (33.853) Prec@5 63.672 (64.024) Epoch: [8][3070/5809] Time 0.737 (0.762) Data 0.678 (0.688) Loss 2.6771 (2.7552) Prec@1 33.594 (33.854) Prec@5 66.016 (64.023) Epoch: [8][3080/5809] Time 1.413 (0.762) Data 1.355 (0.688) Loss 2.5896 (2.7551) Prec@1 33.984 (33.857) Prec@5 68.359 (64.024) Epoch: [8][3090/5809] Time 0.670 (0.762) Data 0.603 (0.688) Loss 2.8339 (2.7550) Prec@1 32.812 (33.858) Prec@5 64.453 (64.031) Epoch: [8][3100/5809] Time 1.333 (0.762) Data 1.274 (0.688) Loss 2.5314 (2.7548) Prec@1 37.109 (33.861) Prec@5 66.797 (64.033) Epoch: [8][3110/5809] Time 0.247 (0.761) Data 0.184 (0.688) Loss 2.5810 (2.7548) Prec@1 37.109 (33.863) Prec@5 68.750 (64.035) Epoch: [8][3120/5809] Time 0.522 (0.762) Data 0.459 (0.688) Loss 2.7237 (2.7550) Prec@1 32.031 (33.860) Prec@5 62.891 (64.027) Epoch: [8][3130/5809] Time 0.672 (0.761) Data 0.614 (0.688) Loss 2.7696 (2.7549) Prec@1 32.812 (33.857) Prec@5 62.891 (64.029) Epoch: [8][3140/5809] Time 0.133 (0.762) Data 0.001 (0.688) Loss 2.8319 (2.7550) Prec@1 34.766 (33.857) Prec@5 63.672 (64.032) Epoch: [8][3150/5809] Time 1.067 (0.762) Data 1.009 (0.688) Loss 2.6195 (2.7551) Prec@1 39.453 (33.851) Prec@5 65.234 (64.031) Epoch: [8][3160/5809] Time 0.542 (0.762) Data 0.479 (0.688) Loss 2.6605 (2.7551) Prec@1 34.766 (33.852) Prec@5 66.016 (64.030) Epoch: [8][3170/5809] Time 0.888 (0.762) Data 0.828 (0.689) Loss 2.6671 (2.7550) Prec@1 39.453 (33.857) Prec@5 66.016 (64.034) Epoch: [8][3180/5809] Time 0.473 (0.763) Data 0.414 (0.689) Loss 2.7441 (2.7549) Prec@1 33.203 (33.856) Prec@5 64.062 (64.036) Epoch: [8][3190/5809] Time 0.353 (0.763) Data 0.292 (0.689) Loss 2.6165 (2.7547) Prec@1 36.328 (33.859) Prec@5 66.797 (64.038) Epoch: [8][3200/5809] Time 0.616 (0.764) Data 0.553 (0.690) Loss 2.7512 (2.7548) Prec@1 34.375 (33.857) Prec@5 64.062 (64.036) Epoch: [8][3210/5809] Time 0.328 (0.764) Data 0.270 (0.690) Loss 2.6545 (2.7549) Prec@1 39.844 (33.856) Prec@5 66.016 (64.035) Epoch: [8][3220/5809] Time 0.483 (0.764) Data 0.424 (0.691) Loss 2.8138 (2.7551) Prec@1 30.469 (33.855) Prec@5 60.938 (64.028) Epoch: [8][3230/5809] Time 0.132 (0.764) Data 0.047 (0.690) Loss 2.8054 (2.7553) Prec@1 32.031 (33.852) Prec@5 63.672 (64.024) Epoch: [8][3240/5809] Time 0.131 (0.765) Data 0.001 (0.691) Loss 2.7199 (2.7555) Prec@1 35.547 (33.850) Prec@5 64.844 (64.017) Epoch: [8][3250/5809] Time 0.132 (0.765) Data 0.001 (0.691) Loss 2.7598 (2.7555) Prec@1 36.328 (33.850) Prec@5 64.844 (64.014) Epoch: [8][3260/5809] Time 0.133 (0.766) Data 0.057 (0.692) Loss 2.7989 (2.7556) Prec@1 28.125 (33.848) Prec@5 62.109 (64.017) Epoch: [8][3270/5809] Time 0.180 (0.766) Data 0.120 (0.693) Loss 2.8176 (2.7555) Prec@1 36.719 (33.854) Prec@5 65.625 (64.018) Epoch: [8][3280/5809] Time 0.256 (0.769) Data 0.193 (0.695) Loss 2.8379 (2.7554) Prec@1 35.547 (33.857) Prec@5 65.625 (64.020) Epoch: [8][3290/5809] Time 0.133 (0.769) Data 0.001 (0.695) Loss 2.8512 (2.7555) Prec@1 32.422 (33.859) Prec@5 60.938 (64.021) Epoch: [8][3300/5809] Time 0.829 (0.771) Data 0.771 (0.697) Loss 2.8070 (2.7555) Prec@1 32.812 (33.857) Prec@5 58.984 (64.018) Epoch: [8][3310/5809] Time 0.556 (0.771) Data 0.497 (0.697) Loss 2.7405 (2.7555) Prec@1 34.375 (33.853) Prec@5 64.844 (64.017) Epoch: [8][3320/5809] Time 0.970 (0.771) Data 0.907 (0.698) Loss 2.6799 (2.7555) Prec@1 36.719 (33.855) Prec@5 66.406 (64.017) Epoch: [8][3330/5809] Time 0.133 (0.772) Data 0.001 (0.698) Loss 2.7236 (2.7555) Prec@1 35.938 (33.852) Prec@5 67.188 (64.020) Epoch: [8][3340/5809] Time 1.015 (0.772) Data 0.956 (0.698) Loss 2.9035 (2.7555) Prec@1 32.812 (33.852) Prec@5 61.328 (64.020) Epoch: [8][3350/5809] Time 0.133 (0.772) Data 0.001 (0.698) Loss 2.7677 (2.7555) Prec@1 33.594 (33.852) Prec@5 64.453 (64.017) Epoch: [8][3360/5809] Time 2.073 (0.773) Data 2.009 (0.699) Loss 2.8446 (2.7555) Prec@1 29.688 (33.851) Prec@5 61.328 (64.018) Epoch: [8][3370/5809] Time 0.133 (0.772) Data 0.001 (0.699) Loss 2.7527 (2.7554) Prec@1 34.375 (33.855) Prec@5 64.062 (64.018) Epoch: [8][3380/5809] Time 1.540 (0.773) Data 1.481 (0.699) Loss 2.8205 (2.7553) Prec@1 34.375 (33.858) Prec@5 63.281 (64.018) Epoch: [8][3390/5809] Time 0.133 (0.772) Data 0.001 (0.699) Loss 2.7350 (2.7553) Prec@1 35.938 (33.859) Prec@5 66.016 (64.017) Epoch: [8][3400/5809] Time 0.668 (0.772) Data 0.607 (0.699) Loss 2.8443 (2.7554) Prec@1 30.078 (33.854) Prec@5 62.109 (64.013) Epoch: [8][3410/5809] Time 0.229 (0.772) Data 0.170 (0.698) Loss 2.6863 (2.7554) Prec@1 31.641 (33.852) Prec@5 66.797 (64.012) Epoch: [8][3420/5809] Time 0.134 (0.772) Data 0.001 (0.698) Loss 2.8411 (2.7554) Prec@1 34.766 (33.854) Prec@5 60.156 (64.011) Epoch: [8][3430/5809] Time 0.534 (0.771) Data 0.475 (0.698) Loss 2.6948 (2.7555) Prec@1 33.984 (33.851) Prec@5 62.500 (64.011) Epoch: [8][3440/5809] Time 0.656 (0.771) Data 0.598 (0.697) Loss 2.6019 (2.7556) Prec@1 33.984 (33.850) Prec@5 66.016 (64.010) Epoch: [8][3450/5809] Time 0.399 (0.771) Data 0.337 (0.697) Loss 2.6813 (2.7557) Prec@1 35.547 (33.850) Prec@5 64.062 (64.006) Epoch: [8][3460/5809] Time 1.096 (0.770) Data 1.027 (0.697) Loss 2.7039 (2.7559) Prec@1 35.547 (33.849) Prec@5 64.844 (64.004) Epoch: [8][3470/5809] Time 0.948 (0.770) Data 0.888 (0.696) Loss 2.6301 (2.7556) Prec@1 36.328 (33.850) Prec@5 62.891 (64.008) Epoch: [8][3480/5809] Time 1.389 (0.770) Data 1.323 (0.696) Loss 2.7407 (2.7556) Prec@1 35.156 (33.852) Prec@5 65.625 (64.010) Epoch: [8][3490/5809] Time 0.428 (0.769) Data 0.369 (0.695) Loss 2.5798 (2.7558) Prec@1 35.938 (33.850) Prec@5 66.016 (64.005) Epoch: [8][3500/5809] Time 1.479 (0.769) Data 1.415 (0.695) Loss 2.6769 (2.7557) Prec@1 36.328 (33.850) Prec@5 62.109 (64.002) Epoch: [8][3510/5809] Time 0.971 (0.768) Data 0.912 (0.694) Loss 2.8914 (2.7556) Prec@1 31.250 (33.850) Prec@5 60.938 (64.006) Epoch: [8][3520/5809] Time 1.036 (0.768) Data 0.973 (0.694) Loss 2.9624 (2.7558) Prec@1 28.906 (33.845) Prec@5 60.547 (64.005) Epoch: [8][3530/5809] Time 1.542 (0.767) Data 1.483 (0.693) Loss 2.8000 (2.7556) Prec@1 33.984 (33.850) Prec@5 60.547 (64.010) Epoch: [8][3540/5809] Time 0.130 (0.766) Data 0.049 (0.693) Loss 2.8132 (2.7556) Prec@1 33.984 (33.851) Prec@5 62.891 (64.006) Epoch: [8][3550/5809] Time 1.494 (0.766) Data 1.422 (0.692) Loss 2.7079 (2.7556) Prec@1 34.375 (33.852) Prec@5 67.969 (64.006) Epoch: [8][3560/5809] Time 0.415 (0.766) Data 0.355 (0.692) Loss 2.6368 (2.7556) Prec@1 36.328 (33.855) Prec@5 66.016 (64.006) Epoch: [8][3570/5809] Time 1.761 (0.766) Data 1.703 (0.692) Loss 2.8711 (2.7556) Prec@1 29.297 (33.854) Prec@5 63.281 (64.005) Epoch: [8][3580/5809] Time 0.133 (0.766) Data 0.001 (0.692) Loss 2.8145 (2.7554) Prec@1 35.156 (33.855) Prec@5 63.672 (64.009) Epoch: [8][3590/5809] Time 1.526 (0.766) Data 1.462 (0.692) Loss 2.9558 (2.7554) Prec@1 30.859 (33.855) Prec@5 57.422 (64.006) Epoch: [8][3600/5809] Time 0.133 (0.766) Data 0.001 (0.693) Loss 2.7668 (2.7555) Prec@1 34.375 (33.855) Prec@5 65.234 (64.004) Epoch: [8][3610/5809] Time 2.636 (0.767) Data 2.573 (0.693) Loss 2.8737 (2.7556) Prec@1 31.250 (33.856) Prec@5 62.891 (64.000) Epoch: [8][3620/5809] Time 0.140 (0.767) Data 0.001 (0.693) Loss 2.5042 (2.7557) Prec@1 42.188 (33.854) Prec@5 66.797 (63.995) Epoch: [8][3630/5809] Time 2.715 (0.768) Data 2.654 (0.694) Loss 2.8021 (2.7557) Prec@1 30.859 (33.852) Prec@5 64.844 (63.998) Epoch: [8][3640/5809] Time 0.133 (0.768) Data 0.001 (0.694) Loss 2.8828 (2.7558) Prec@1 30.859 (33.852) Prec@5 59.766 (63.995) Epoch: [8][3650/5809] Time 1.790 (0.768) Data 1.730 (0.694) Loss 2.9254 (2.7558) Prec@1 32.812 (33.856) Prec@5 57.812 (63.997) Epoch: [8][3660/5809] Time 0.814 (0.769) Data 0.755 (0.695) Loss 2.9892 (2.7557) Prec@1 32.031 (33.858) Prec@5 56.641 (63.998) Epoch: [8][3670/5809] Time 2.591 (0.770) Data 2.532 (0.696) Loss 2.8668 (2.7556) Prec@1 31.250 (33.858) Prec@5 60.156 (64.000) Epoch: [8][3680/5809] Time 0.133 (0.770) Data 0.001 (0.696) Loss 2.8415 (2.7555) Prec@1 33.203 (33.861) Prec@5 62.891 (64.004) Epoch: [8][3690/5809] Time 1.956 (0.771) Data 1.893 (0.698) Loss 2.8267 (2.7555) Prec@1 29.297 (33.860) Prec@5 64.453 (64.000) Epoch: [8][3700/5809] Time 0.441 (0.771) Data 0.383 (0.698) Loss 2.4867 (2.7553) Prec@1 40.625 (33.863) Prec@5 67.969 (64.004) Epoch: [8][3710/5809] Time 1.849 (0.772) Data 1.790 (0.699) Loss 2.6339 (2.7553) Prec@1 33.984 (33.862) Prec@5 61.328 (64.004) Epoch: [8][3720/5809] Time 0.957 (0.773) Data 0.894 (0.699) Loss 2.4290 (2.7550) Prec@1 42.969 (33.868) Prec@5 68.359 (64.009) Epoch: [8][3730/5809] Time 1.560 (0.773) Data 1.501 (0.700) Loss 2.6453 (2.7552) Prec@1 35.938 (33.866) Prec@5 65.234 (64.004) Epoch: [8][3740/5809] Time 0.329 (0.773) Data 0.271 (0.700) Loss 2.6596 (2.7552) Prec@1 37.500 (33.868) Prec@5 66.406 (64.006) Epoch: [8][3750/5809] Time 1.693 (0.774) Data 1.627 (0.701) Loss 2.5849 (2.7551) Prec@1 35.156 (33.869) Prec@5 67.578 (64.007) Epoch: [8][3760/5809] Time 0.475 (0.775) Data 0.417 (0.701) Loss 2.8031 (2.7551) Prec@1 34.766 (33.870) Prec@5 62.109 (64.004) Epoch: [8][3770/5809] Time 1.407 (0.775) Data 1.348 (0.702) Loss 2.7464 (2.7552) Prec@1 33.203 (33.871) Prec@5 64.453 (64.002) Epoch: [8][3780/5809] Time 1.008 (0.775) Data 0.948 (0.702) Loss 2.6955 (2.7551) Prec@1 34.766 (33.872) Prec@5 65.625 (64.005) Epoch: [8][3790/5809] Time 0.790 (0.775) Data 0.731 (0.702) Loss 2.8577 (2.7550) Prec@1 31.641 (33.874) Prec@5 64.062 (64.004) Epoch: [8][3800/5809] Time 1.430 (0.775) Data 1.371 (0.702) Loss 2.9035 (2.7552) Prec@1 34.375 (33.869) Prec@5 62.891 (64.004) Epoch: [8][3810/5809] Time 0.665 (0.775) Data 0.606 (0.702) Loss 2.6701 (2.7553) Prec@1 36.328 (33.868) Prec@5 66.406 (63.998) Epoch: [8][3820/5809] Time 2.294 (0.775) Data 2.235 (0.702) Loss 2.7547 (2.7553) Prec@1 37.500 (33.865) Prec@5 63.672 (64.000) Epoch: [8][3830/5809] Time 0.600 (0.775) Data 0.542 (0.702) Loss 2.7422 (2.7552) Prec@1 33.594 (33.865) Prec@5 60.547 (64.002) Epoch: [8][3840/5809] Time 1.341 (0.775) Data 1.282 (0.702) Loss 2.4506 (2.7551) Prec@1 42.188 (33.871) Prec@5 69.141 (64.003) Epoch: [8][3850/5809] Time 1.054 (0.775) Data 0.994 (0.702) Loss 2.8610 (2.7551) Prec@1 31.250 (33.875) Prec@5 62.891 (64.004) Epoch: [8][3860/5809] Time 0.832 (0.775) Data 0.771 (0.702) Loss 2.7200 (2.7553) Prec@1 32.031 (33.873) Prec@5 66.406 (64.001) Epoch: [8][3870/5809] Time 1.227 (0.775) Data 1.168 (0.702) Loss 2.9102 (2.7555) Prec@1 31.641 (33.871) Prec@5 58.594 (63.996) Epoch: [8][3880/5809] Time 1.143 (0.775) Data 1.082 (0.702) Loss 2.7481 (2.7554) Prec@1 32.422 (33.872) Prec@5 66.016 (63.997) Epoch: [8][3890/5809] Time 2.618 (0.776) Data 2.555 (0.703) Loss 2.8325 (2.7553) Prec@1 32.812 (33.875) Prec@5 60.938 (64.002) Epoch: [8][3900/5809] Time 0.755 (0.776) Data 0.694 (0.703) Loss 2.7248 (2.7554) Prec@1 33.984 (33.874) Prec@5 64.453 (64.000) Epoch: [8][3910/5809] Time 1.767 (0.777) Data 1.709 (0.704) Loss 2.8144 (2.7554) Prec@1 33.984 (33.873) Prec@5 61.328 (63.999) Epoch: [8][3920/5809] Time 0.680 (0.777) Data 0.615 (0.704) Loss 2.9250 (2.7553) Prec@1 32.422 (33.874) Prec@5 61.719 (64.002) Epoch: [8][3930/5809] Time 2.489 (0.778) Data 2.429 (0.705) Loss 2.8657 (2.7553) Prec@1 31.641 (33.874) Prec@5 57.422 (64.000) Epoch: [8][3940/5809] Time 0.684 (0.778) Data 0.625 (0.705) Loss 2.5986 (2.7553) Prec@1 40.234 (33.875) Prec@5 69.531 (64.001) Epoch: [8][3950/5809] Time 3.790 (0.779) Data 3.728 (0.706) Loss 2.7452 (2.7554) Prec@1 37.109 (33.873) Prec@5 64.844 (64.001) Epoch: [8][3960/5809] Time 0.134 (0.780) Data 0.001 (0.707) Loss 2.8362 (2.7553) Prec@1 28.125 (33.875) Prec@5 61.328 (64.001) Epoch: [8][3970/5809] Time 1.231 (0.781) Data 1.168 (0.708) Loss 2.7749 (2.7554) Prec@1 35.938 (33.875) Prec@5 63.281 (64.000) Epoch: [8][3980/5809] Time 0.246 (0.781) Data 0.184 (0.708) Loss 2.7108 (2.7554) Prec@1 35.547 (33.876) Prec@5 62.109 (64.000) Epoch: [8][3990/5809] Time 0.873 (0.782) Data 0.814 (0.709) Loss 2.6758 (2.7555) Prec@1 33.984 (33.872) Prec@5 69.531 (64.000) Epoch: [8][4000/5809] Time 0.197 (0.782) Data 0.139 (0.709) Loss 2.6422 (2.7555) Prec@1 34.766 (33.874) Prec@5 66.016 (64.001) Epoch: [8][4010/5809] Time 0.447 (0.783) Data 0.383 (0.710) Loss 3.0144 (2.7558) Prec@1 30.859 (33.870) Prec@5 57.812 (63.998) Epoch: [8][4020/5809] Time 0.338 (0.783) Data 0.275 (0.710) Loss 2.8494 (2.7557) Prec@1 32.812 (33.872) Prec@5 61.719 (64.000) Epoch: [8][4030/5809] Time 0.544 (0.784) Data 0.484 (0.711) Loss 2.9294 (2.7557) Prec@1 30.078 (33.870) Prec@5 58.984 (64.000) Epoch: [8][4040/5809] Time 0.176 (0.785) Data 0.115 (0.711) Loss 2.6199 (2.7555) Prec@1 32.812 (33.872) Prec@5 65.234 (64.001) Epoch: [8][4050/5809] Time 1.152 (0.785) Data 1.093 (0.712) Loss 2.7637 (2.7554) Prec@1 33.984 (33.873) Prec@5 63.672 (64.003) Epoch: [8][4060/5809] Time 0.749 (0.786) Data 0.688 (0.713) Loss 2.9925 (2.7553) Prec@1 30.469 (33.876) Prec@5 59.375 (64.004) Epoch: [8][4070/5809] Time 0.808 (0.786) Data 0.745 (0.713) Loss 2.7480 (2.7554) Prec@1 35.156 (33.874) Prec@5 60.547 (63.999) Epoch: [8][4080/5809] Time 0.822 (0.787) Data 0.763 (0.714) Loss 3.0082 (2.7555) Prec@1 29.297 (33.873) Prec@5 60.938 (64.000) Epoch: [8][4090/5809] Time 0.997 (0.787) Data 0.939 (0.714) Loss 2.7104 (2.7555) Prec@1 38.672 (33.875) Prec@5 66.406 (64.003) Epoch: [8][4100/5809] Time 0.521 (0.789) Data 0.462 (0.716) Loss 2.7494 (2.7554) Prec@1 32.422 (33.876) Prec@5 61.328 (64.002) Epoch: [8][4110/5809] Time 0.133 (0.789) Data 0.001 (0.716) Loss 2.6110 (2.7554) Prec@1 37.891 (33.875) Prec@5 67.969 (64.002) Epoch: [8][4120/5809] Time 0.698 (0.790) Data 0.635 (0.717) Loss 2.6534 (2.7553) Prec@1 35.547 (33.877) Prec@5 67.188 (64.004) Epoch: [8][4130/5809] Time 0.446 (0.791) Data 0.387 (0.718) Loss 2.7502 (2.7554) Prec@1 35.938 (33.874) Prec@5 62.891 (64.002) Epoch: [8][4140/5809] Time 0.819 (0.792) Data 0.759 (0.719) Loss 2.9086 (2.7554) Prec@1 34.375 (33.876) Prec@5 59.375 (64.003) Epoch: [8][4150/5809] Time 1.685 (0.794) Data 1.626 (0.721) Loss 2.6877 (2.7553) Prec@1 36.719 (33.880) Prec@5 63.281 (64.005) Epoch: [8][4160/5809] Time 0.133 (0.796) Data 0.001 (0.723) Loss 2.7909 (2.7553) Prec@1 34.375 (33.878) Prec@5 65.234 (64.004) Epoch: [8][4170/5809] Time 2.227 (0.797) Data 2.167 (0.724) Loss 2.7166 (2.7553) Prec@1 35.938 (33.880) Prec@5 66.016 (64.003) Epoch: [8][4180/5809] Time 0.297 (0.798) Data 0.239 (0.726) Loss 2.7396 (2.7553) Prec@1 36.719 (33.882) Prec@5 63.672 (64.003) Epoch: [8][4190/5809] Time 2.533 (0.800) Data 2.474 (0.727) Loss 2.8442 (2.7554) Prec@1 30.469 (33.882) Prec@5 61.328 (64.002) Epoch: [8][4200/5809] Time 1.766 (0.802) Data 1.707 (0.729) Loss 2.7122 (2.7554) Prec@1 35.547 (33.886) Prec@5 66.406 (64.000) Epoch: [8][4210/5809] Time 3.114 (0.803) Data 3.048 (0.730) Loss 2.7350 (2.7555) Prec@1 33.203 (33.884) Prec@5 65.625 (64.000) Epoch: [8][4220/5809] Time 1.344 (0.804) Data 1.286 (0.731) Loss 2.8753 (2.7556) Prec@1 32.031 (33.884) Prec@5 58.984 (63.998) Epoch: [8][4230/5809] Time 4.254 (0.806) Data 4.195 (0.733) Loss 2.6696 (2.7556) Prec@1 36.328 (33.884) Prec@5 64.453 (63.998) Epoch: [8][4240/5809] Time 0.843 (0.807) Data 0.784 (0.734) Loss 2.9094 (2.7557) Prec@1 32.812 (33.883) Prec@5 62.109 (63.995) Epoch: [8][4250/5809] Time 3.381 (0.809) Data 3.323 (0.736) Loss 2.8135 (2.7557) Prec@1 32.422 (33.887) Prec@5 65.625 (63.998) Epoch: [8][4260/5809] Time 0.144 (0.810) Data 0.085 (0.737) Loss 2.9104 (2.7558) Prec@1 36.328 (33.885) Prec@5 59.766 (63.994) Epoch: [8][4270/5809] Time 2.253 (0.811) Data 2.194 (0.738) Loss 2.7404 (2.7558) Prec@1 31.641 (33.886) Prec@5 64.453 (63.993) Epoch: [8][4280/5809] Time 0.217 (0.812) Data 0.159 (0.739) Loss 2.7909 (2.7558) Prec@1 34.766 (33.887) Prec@5 59.375 (63.992) Epoch: [8][4290/5809] Time 5.687 (0.814) Data 5.624 (0.741) Loss 2.7229 (2.7558) Prec@1 35.547 (33.889) Prec@5 65.234 (63.991) Epoch: [8][4300/5809] Time 0.474 (0.815) Data 0.415 (0.742) Loss 2.9091 (2.7558) Prec@1 27.344 (33.887) Prec@5 61.719 (63.992) Epoch: [8][4310/5809] Time 2.753 (0.816) Data 2.693 (0.743) Loss 2.7605 (2.7558) Prec@1 30.469 (33.883) Prec@5 60.938 (63.992) Epoch: [8][4320/5809] Time 0.134 (0.817) Data 0.001 (0.744) Loss 2.6999 (2.7560) Prec@1 36.719 (33.883) Prec@5 64.844 (63.988) Epoch: [8][4330/5809] Time 4.120 (0.818) Data 4.062 (0.745) Loss 2.8133 (2.7560) Prec@1 30.469 (33.884) Prec@5 61.719 (63.989) Epoch: [8][4340/5809] Time 0.426 (0.819) Data 0.367 (0.746) Loss 2.6666 (2.7558) Prec@1 35.156 (33.887) Prec@5 67.969 (63.991) Epoch: [8][4350/5809] Time 3.480 (0.820) Data 3.421 (0.747) Loss 2.8028 (2.7558) Prec@1 34.375 (33.885) Prec@5 62.500 (63.990) Epoch: [8][4360/5809] Time 0.138 (0.821) Data 0.001 (0.749) Loss 2.7764 (2.7560) Prec@1 31.250 (33.882) Prec@5 60.547 (63.985) Epoch: [8][4370/5809] Time 5.934 (0.823) Data 5.870 (0.751) Loss 2.6355 (2.7561) Prec@1 33.594 (33.880) Prec@5 67.188 (63.987) Epoch: [8][4380/5809] Time 0.513 (0.824) Data 0.455 (0.752) Loss 2.7160 (2.7562) Prec@1 33.984 (33.878) Prec@5 66.406 (63.984) Epoch: [8][4390/5809] Time 3.470 (0.826) Data 3.410 (0.753) Loss 2.5883 (2.7561) Prec@1 36.328 (33.880) Prec@5 66.797 (63.985) Epoch: [8][4400/5809] Time 0.132 (0.827) Data 0.001 (0.754) Loss 2.7419 (2.7562) Prec@1 34.375 (33.880) Prec@5 65.234 (63.982) Epoch: [8][4410/5809] Time 2.054 (0.829) Data 1.995 (0.757) Loss 2.7425 (2.7562) Prec@1 33.203 (33.879) Prec@5 63.672 (63.983) Epoch: [8][4420/5809] Time 0.518 (0.831) Data 0.458 (0.758) Loss 2.7710 (2.7563) Prec@1 33.984 (33.878) Prec@5 61.719 (63.981) Epoch: [8][4430/5809] Time 1.433 (0.832) Data 1.374 (0.759) Loss 2.7653 (2.7562) Prec@1 31.641 (33.881) Prec@5 59.766 (63.983) Epoch: [8][4440/5809] Time 0.785 (0.833) Data 0.727 (0.760) Loss 2.8066 (2.7561) Prec@1 32.812 (33.880) Prec@5 62.891 (63.984) Epoch: [8][4450/5809] Time 1.041 (0.835) Data 0.982 (0.762) Loss 2.5696 (2.7561) Prec@1 37.109 (33.879) Prec@5 69.531 (63.986) Epoch: [8][4460/5809] Time 2.002 (0.837) Data 1.943 (0.764) Loss 2.8573 (2.7561) Prec@1 30.469 (33.879) Prec@5 64.062 (63.986) Epoch: [8][4470/5809] Time 0.453 (0.839) Data 0.395 (0.766) Loss 2.7376 (2.7561) Prec@1 33.984 (33.883) Prec@5 63.281 (63.988) Epoch: [8][4480/5809] Time 1.082 (0.840) Data 1.023 (0.767) Loss 2.7423 (2.7561) Prec@1 34.375 (33.883) Prec@5 67.969 (63.991) Epoch: [8][4490/5809] Time 2.228 (0.841) Data 2.168 (0.768) Loss 2.7195 (2.7561) Prec@1 39.062 (33.885) Prec@5 64.062 (63.990) Epoch: [8][4500/5809] Time 1.165 (0.843) Data 1.099 (0.770) Loss 2.7778 (2.7562) Prec@1 31.641 (33.882) Prec@5 65.625 (63.989) Epoch: [8][4510/5809] Time 1.813 (0.844) Data 1.749 (0.772) Loss 2.8363 (2.7563) Prec@1 33.203 (33.878) Prec@5 59.766 (63.986) Epoch: [8][4520/5809] Time 1.194 (0.846) Data 1.136 (0.773) Loss 2.6401 (2.7562) Prec@1 31.250 (33.879) Prec@5 67.188 (63.988) Epoch: [8][4530/5809] Time 0.133 (0.847) Data 0.067 (0.774) Loss 2.9825 (2.7563) Prec@1 31.250 (33.875) Prec@5 59.766 (63.987) Epoch: [8][4540/5809] Time 2.707 (0.848) Data 2.648 (0.775) Loss 2.9379 (2.7564) Prec@1 29.297 (33.875) Prec@5 57.812 (63.986) Epoch: [8][4550/5809] Time 1.000 (0.849) Data 0.941 (0.776) Loss 2.7558 (2.7565) Prec@1 34.766 (33.873) Prec@5 66.016 (63.983) Epoch: [8][4560/5809] Time 3.262 (0.850) Data 3.201 (0.777) Loss 2.8090 (2.7565) Prec@1 35.547 (33.877) Prec@5 62.500 (63.984) Epoch: [8][4570/5809] Time 1.337 (0.850) Data 1.277 (0.778) Loss 2.9103 (2.7565) Prec@1 30.469 (33.875) Prec@5 61.719 (63.985) Epoch: [8][4580/5809] Time 4.787 (0.852) Data 4.725 (0.780) Loss 2.7901 (2.7565) Prec@1 32.812 (33.876) Prec@5 63.281 (63.987) Epoch: [8][4590/5809] Time 1.718 (0.854) Data 1.660 (0.781) Loss 3.0250 (2.7566) Prec@1 28.906 (33.871) Prec@5 58.594 (63.985) Epoch: [8][4600/5809] Time 2.356 (0.855) Data 2.292 (0.782) Loss 2.8554 (2.7567) Prec@1 29.688 (33.873) Prec@5 62.109 (63.982) Epoch: [8][4610/5809] Time 1.003 (0.855) Data 0.940 (0.783) Loss 2.6281 (2.7566) Prec@1 32.422 (33.876) Prec@5 69.531 (63.984) Epoch: [8][4620/5809] Time 3.778 (0.857) Data 3.718 (0.785) Loss 2.7083 (2.7567) Prec@1 33.984 (33.877) Prec@5 64.062 (63.984) Epoch: [8][4630/5809] Time 1.688 (0.859) Data 1.626 (0.787) Loss 2.7902 (2.7566) Prec@1 32.031 (33.878) Prec@5 65.625 (63.985) Epoch: [8][4640/5809] Time 4.607 (0.861) Data 4.549 (0.789) Loss 2.7727 (2.7567) Prec@1 35.547 (33.877) Prec@5 65.234 (63.983) Epoch: [8][4650/5809] Time 2.881 (0.862) Data 2.819 (0.790) Loss 2.7030 (2.7565) Prec@1 33.984 (33.881) Prec@5 63.672 (63.986) Epoch: [8][4660/5809] Time 2.476 (0.865) Data 2.413 (0.792) Loss 2.5398 (2.7564) Prec@1 37.500 (33.881) Prec@5 71.875 (63.989) Epoch: [8][4670/5809] Time 3.918 (0.868) Data 3.859 (0.796) Loss 2.6654 (2.7564) Prec@1 33.594 (33.881) Prec@5 66.016 (63.988) Epoch: [8][4680/5809] Time 1.610 (0.871) Data 1.551 (0.798) Loss 2.7770 (2.7564) Prec@1 33.984 (33.880) Prec@5 62.109 (63.988) Epoch: [8][4690/5809] Time 3.307 (0.873) Data 3.244 (0.800) Loss 2.6845 (2.7565) Prec@1 34.766 (33.877) Prec@5 63.672 (63.988) Epoch: [8][4700/5809] Time 0.958 (0.874) Data 0.899 (0.802) Loss 2.5881 (2.7565) Prec@1 33.984 (33.876) Prec@5 69.531 (63.988) Epoch: [8][4710/5809] Time 1.376 (0.876) Data 1.318 (0.803) Loss 2.6279 (2.7563) Prec@1 40.625 (33.880) Prec@5 67.578 (63.990) Epoch: [8][4720/5809] Time 2.261 (0.877) Data 2.199 (0.805) Loss 2.7437 (2.7563) Prec@1 36.328 (33.881) Prec@5 64.062 (63.992) Epoch: [8][4730/5809] Time 1.144 (0.880) Data 1.085 (0.807) Loss 2.6987 (2.7563) Prec@1 30.469 (33.881) Prec@5 62.500 (63.992) Epoch: [8][4740/5809] Time 2.364 (0.881) Data 2.305 (0.808) Loss 2.6335 (2.7563) Prec@1 32.812 (33.884) Prec@5 66.016 (63.994) Epoch: [8][4750/5809] Time 1.719 (0.883) Data 1.661 (0.810) Loss 3.0222 (2.7564) Prec@1 28.906 (33.879) Prec@5 58.594 (63.993) Epoch: [8][4760/5809] Time 1.271 (0.884) Data 1.212 (0.812) Loss 2.9654 (2.7563) Prec@1 34.375 (33.881) Prec@5 59.766 (63.995) Epoch: [8][4770/5809] Time 0.472 (0.885) Data 0.412 (0.813) Loss 2.8056 (2.7565) Prec@1 36.328 (33.880) Prec@5 62.109 (63.993) Epoch: [8][4780/5809] Time 1.566 (0.886) Data 1.508 (0.814) Loss 2.7419 (2.7565) Prec@1 33.594 (33.879) Prec@5 60.156 (63.991) Epoch: [8][4790/5809] Time 0.324 (0.887) Data 0.266 (0.815) Loss 3.0333 (2.7567) Prec@1 26.953 (33.878) Prec@5 57.812 (63.990) Epoch: [8][4800/5809] Time 5.258 (0.889) Data 5.200 (0.817) Loss 2.7252 (2.7567) Prec@1 33.594 (33.879) Prec@5 64.062 (63.989) Epoch: [8][4810/5809] Time 1.224 (0.891) Data 1.165 (0.819) Loss 2.7371 (2.7566) Prec@1 33.594 (33.880) Prec@5 64.453 (63.990) Epoch: [8][4820/5809] Time 3.983 (0.893) Data 3.925 (0.821) Loss 3.0484 (2.7566) Prec@1 27.734 (33.883) Prec@5 57.812 (63.990) Epoch: [8][4830/5809] Time 0.719 (0.896) Data 0.655 (0.824) Loss 2.6304 (2.7566) Prec@1 33.203 (33.883) Prec@5 67.969 (63.991) Epoch: [8][4840/5809] Time 2.373 (0.898) Data 2.314 (0.826) Loss 2.6897 (2.7565) Prec@1 35.547 (33.885) Prec@5 67.188 (63.996) Epoch: [8][4850/5809] Time 0.469 (0.899) Data 0.410 (0.827) Loss 2.6277 (2.7564) Prec@1 33.984 (33.886) Prec@5 67.969 (63.998) Epoch: [8][4860/5809] Time 0.983 (0.901) Data 0.923 (0.828) Loss 2.6904 (2.7563) Prec@1 35.938 (33.887) Prec@5 63.281 (63.999) Epoch: [8][4870/5809] Time 0.145 (0.902) Data 0.001 (0.830) Loss 2.7989 (2.7562) Prec@1 35.938 (33.886) Prec@5 59.375 (63.998) Epoch: [8][4880/5809] Time 1.013 (0.903) Data 0.954 (0.831) Loss 2.8531 (2.7563) Prec@1 33.594 (33.884) Prec@5 60.938 (63.997) Epoch: [8][4890/5809] Time 1.022 (0.904) Data 0.961 (0.832) Loss 2.7413 (2.7563) Prec@1 31.641 (33.887) Prec@5 66.406 (64.000) Epoch: [8][4900/5809] Time 3.605 (0.907) Data 3.544 (0.835) Loss 2.6677 (2.7563) Prec@1 38.281 (33.886) Prec@5 66.406 (64.000) Epoch: [8][4910/5809] Time 1.558 (0.909) Data 1.499 (0.836) Loss 2.6861 (2.7561) Prec@1 32.031 (33.887) Prec@5 67.578 (64.007) Epoch: [8][4920/5809] Time 3.335 (0.912) Data 3.277 (0.840) Loss 2.9330 (2.7561) Prec@1 28.906 (33.889) Prec@5 61.719 (64.006) Epoch: [8][4930/5809] Time 1.795 (0.914) Data 1.737 (0.842) Loss 2.9383 (2.7561) Prec@1 30.078 (33.889) Prec@5 62.109 (64.006) Epoch: [8][4940/5809] Time 2.941 (0.916) Data 2.883 (0.844) Loss 2.8495 (2.7561) Prec@1 32.812 (33.889) Prec@5 62.109 (64.007) Epoch: [8][4950/5809] Time 1.456 (0.918) Data 1.396 (0.846) Loss 2.7005 (2.7560) Prec@1 34.375 (33.890) Prec@5 65.625 (64.006) Epoch: [8][4960/5809] Time 3.869 (0.920) Data 3.807 (0.848) Loss 2.8318 (2.7560) Prec@1 33.203 (33.891) Prec@5 59.766 (64.006) Epoch: [8][4970/5809] Time 0.454 (0.922) Data 0.389 (0.850) Loss 2.8327 (2.7561) Prec@1 33.984 (33.889) Prec@5 63.281 (64.003) Epoch: [8][4980/5809] Time 7.113 (0.924) Data 7.054 (0.852) Loss 2.6200 (2.7561) Prec@1 37.500 (33.889) Prec@5 68.359 (64.002) Epoch: [8][4990/5809] Time 1.732 (0.927) Data 1.673 (0.855) Loss 2.7023 (2.7561) Prec@1 32.812 (33.891) Prec@5 62.109 (64.000) Epoch: [8][5000/5809] Time 5.190 (0.929) Data 5.131 (0.857) Loss 2.9042 (2.7562) Prec@1 33.984 (33.890) Prec@5 63.672 (63.999) Epoch: [8][5010/5809] Time 0.292 (0.931) Data 0.234 (0.859) Loss 2.7319 (2.7563) Prec@1 34.375 (33.888) Prec@5 64.844 (63.995) Epoch: [8][5020/5809] Time 4.576 (0.933) Data 4.517 (0.861) Loss 2.6364 (2.7562) Prec@1 37.109 (33.889) Prec@5 64.453 (63.997) Epoch: [8][5030/5809] Time 1.645 (0.935) Data 1.584 (0.863) Loss 2.8439 (2.7562) Prec@1 30.469 (33.887) Prec@5 63.281 (63.997) Epoch: [8][5040/5809] Time 3.745 (0.937) Data 3.686 (0.865) Loss 2.7215 (2.7564) Prec@1 37.500 (33.885) Prec@5 65.625 (63.991) Epoch: [8][5050/5809] Time 1.479 (0.939) Data 1.419 (0.867) Loss 2.7239 (2.7564) Prec@1 29.297 (33.883) Prec@5 64.844 (63.989) Epoch: [8][5060/5809] Time 3.320 (0.940) Data 3.259 (0.869) Loss 2.6712 (2.7564) Prec@1 39.062 (33.885) Prec@5 65.625 (63.990) Epoch: [8][5070/5809] Time 1.925 (0.942) Data 1.865 (0.871) Loss 2.5400 (2.7562) Prec@1 35.547 (33.887) Prec@5 66.406 (63.993) Epoch: [8][5080/5809] Time 4.147 (0.945) Data 4.081 (0.873) Loss 2.8139 (2.7563) Prec@1 32.031 (33.887) Prec@5 61.328 (63.993) Epoch: [8][5090/5809] Time 0.618 (0.946) Data 0.560 (0.874) Loss 2.7330 (2.7562) Prec@1 35.938 (33.889) Prec@5 65.625 (63.995) Epoch: [8][5100/5809] Time 2.572 (0.948) Data 2.508 (0.876) Loss 2.6493 (2.7562) Prec@1 36.719 (33.890) Prec@5 64.453 (63.997) Epoch: [8][5110/5809] Time 2.603 (0.950) Data 2.544 (0.878) Loss 2.7068 (2.7562) Prec@1 36.719 (33.891) Prec@5 64.844 (63.998) Epoch: [8][5120/5809] Time 2.699 (0.951) Data 2.640 (0.880) Loss 2.7636 (2.7563) Prec@1 34.766 (33.889) Prec@5 65.234 (63.994) Epoch: [8][5130/5809] Time 0.763 (0.952) Data 0.704 (0.880) Loss 2.8855 (2.7564) Prec@1 33.203 (33.890) Prec@5 62.500 (63.994) Epoch: [8][5140/5809] Time 2.909 (0.954) Data 2.850 (0.882) Loss 2.7886 (2.7564) Prec@1 32.031 (33.889) Prec@5 64.844 (63.995) Epoch: [8][5150/5809] Time 0.568 (0.955) Data 0.509 (0.883) Loss 2.6208 (2.7563) Prec@1 35.547 (33.890) Prec@5 69.531 (63.995) Epoch: [8][5160/5809] Time 1.215 (0.957) Data 1.151 (0.885) Loss 2.5838 (2.7563) Prec@1 38.281 (33.890) Prec@5 67.578 (63.997) Epoch: [8][5170/5809] Time 1.732 (0.958) Data 1.672 (0.886) Loss 2.6538 (2.7563) Prec@1 32.422 (33.888) Prec@5 64.062 (63.997) Epoch: [8][5180/5809] Time 1.487 (0.959) Data 1.429 (0.888) Loss 2.8076 (2.7563) Prec@1 35.156 (33.890) Prec@5 60.938 (63.995) Epoch: [8][5190/5809] Time 3.113 (0.961) Data 3.052 (0.890) Loss 2.6390 (2.7562) Prec@1 35.547 (33.892) Prec@5 65.234 (63.997) Epoch: [8][5200/5809] Time 0.769 (0.963) Data 0.710 (0.891) Loss 2.7993 (2.7562) Prec@1 31.250 (33.891) Prec@5 60.547 (63.995) Epoch: [8][5210/5809] Time 0.907 (0.964) Data 0.848 (0.892) Loss 2.7011 (2.7561) Prec@1 33.203 (33.891) Prec@5 65.625 (63.998) Epoch: [8][5220/5809] Time 1.437 (0.966) Data 1.378 (0.894) Loss 2.9685 (2.7562) Prec@1 34.375 (33.890) Prec@5 58.594 (63.993) Epoch: [8][5230/5809] Time 0.997 (0.967) Data 0.938 (0.896) Loss 2.6111 (2.7563) Prec@1 33.594 (33.891) Prec@5 64.453 (63.993) Epoch: [8][5240/5809] Time 3.076 (0.969) Data 3.013 (0.897) Loss 2.7154 (2.7563) Prec@1 34.766 (33.893) Prec@5 64.062 (63.994) Epoch: [8][5250/5809] Time 1.240 (0.970) Data 1.182 (0.898) Loss 2.6740 (2.7565) Prec@1 34.375 (33.889) Prec@5 64.453 (63.990) Epoch: [8][5260/5809] Time 3.046 (0.971) Data 2.988 (0.900) Loss 2.7260 (2.7564) Prec@1 35.547 (33.889) Prec@5 64.844 (63.991) Epoch: [8][5270/5809] Time 1.393 (0.973) Data 1.334 (0.901) Loss 2.7428 (2.7563) Prec@1 31.641 (33.891) Prec@5 64.453 (63.994) Epoch: [8][5280/5809] Time 3.176 (0.974) Data 3.117 (0.903) Loss 2.7922 (2.7564) Prec@1 31.641 (33.891) Prec@5 62.891 (63.990) Epoch: [8][5290/5809] Time 1.317 (0.976) Data 1.259 (0.905) Loss 2.8679 (2.7565) Prec@1 32.422 (33.888) Prec@5 59.375 (63.989) Epoch: [8][5300/5809] Time 4.285 (0.978) Data 4.224 (0.906) Loss 2.6389 (2.7565) Prec@1 37.891 (33.888) Prec@5 64.062 (63.987) Epoch: [8][5310/5809] Time 1.020 (0.979) Data 0.961 (0.908) Loss 2.5830 (2.7564) Prec@1 37.500 (33.891) Prec@5 64.453 (63.988) Epoch: [8][5320/5809] Time 3.049 (0.981) Data 2.990 (0.910) Loss 2.6949 (2.7563) Prec@1 37.109 (33.892) Prec@5 62.500 (63.988) Epoch: [8][5330/5809] Time 0.689 (0.982) Data 0.626 (0.911) Loss 2.4988 (2.7561) Prec@1 36.719 (33.893) Prec@5 66.797 (63.990) Epoch: [8][5340/5809] Time 1.134 (0.983) Data 1.075 (0.911) Loss 2.6994 (2.7561) Prec@1 37.109 (33.896) Prec@5 60.938 (63.990) Epoch: [8][5350/5809] Time 0.317 (0.984) Data 0.258 (0.913) Loss 2.7077 (2.7561) Prec@1 35.547 (33.896) Prec@5 63.672 (63.990) Epoch: [8][5360/5809] Time 3.424 (0.986) Data 3.365 (0.914) Loss 2.6260 (2.7561) Prec@1 36.328 (33.897) Prec@5 66.406 (63.988) Epoch: [8][5370/5809] Time 0.639 (0.990) Data 0.574 (0.918) Loss 2.6387 (2.7562) Prec@1 37.500 (33.895) Prec@5 65.234 (63.985) Epoch: [8][5380/5809] Time 1.993 (0.991) Data 1.934 (0.919) Loss 2.6676 (2.7561) Prec@1 37.891 (33.895) Prec@5 66.406 (63.983) Epoch: [8][5390/5809] Time 0.137 (0.991) Data 0.043 (0.920) Loss 2.6434 (2.7561) Prec@1 34.766 (33.894) Prec@5 69.531 (63.985) Epoch: [8][5400/5809] Time 5.292 (0.993) Data 5.229 (0.922) Loss 2.9006 (2.7561) Prec@1 32.812 (33.896) Prec@5 62.109 (63.986) Epoch: [8][5410/5809] Time 0.132 (0.994) Data 0.001 (0.923) Loss 2.8285 (2.7561) Prec@1 33.594 (33.898) Prec@5 65.625 (63.987) Epoch: [8][5420/5809] Time 0.756 (0.995) Data 0.697 (0.923) Loss 3.0828 (2.7563) Prec@1 28.906 (33.892) Prec@5 58.984 (63.982) Epoch: [8][5430/5809] Time 0.314 (0.997) Data 0.255 (0.926) Loss 2.8684 (2.7562) Prec@1 32.422 (33.895) Prec@5 57.422 (63.982) Epoch: [8][5440/5809] Time 0.797 (0.998) Data 0.739 (0.927) Loss 2.6624 (2.7562) Prec@1 37.500 (33.897) Prec@5 64.062 (63.986) Epoch: [8][5450/5809] Time 3.246 (1.002) Data 3.186 (0.931) Loss 2.8691 (2.7561) Prec@1 33.203 (33.898) Prec@5 62.109 (63.987) Epoch: [8][5460/5809] Time 0.133 (1.005) Data 0.001 (0.933) Loss 2.6500 (2.7561) Prec@1 31.250 (33.897) Prec@5 68.750 (63.987) Epoch: [8][5470/5809] Time 0.133 (1.006) Data 0.001 (0.935) Loss 2.9891 (2.7561) Prec@1 29.688 (33.894) Prec@5 59.766 (63.985) Epoch: [8][5480/5809] Time 0.133 (1.008) Data 0.042 (0.936) Loss 2.8180 (2.7562) Prec@1 34.375 (33.894) Prec@5 60.547 (63.983) Epoch: [8][5490/5809] Time 0.132 (1.010) Data 0.001 (0.939) Loss 2.8625 (2.7562) Prec@1 34.375 (33.894) Prec@5 62.891 (63.982) Epoch: [8][5500/5809] Time 1.347 (1.012) Data 1.284 (0.940) Loss 2.7478 (2.7562) Prec@1 36.328 (33.892) Prec@5 61.328 (63.981) Epoch: [8][5510/5809] Time 0.613 (1.013) Data 0.553 (0.941) Loss 2.6821 (2.7562) Prec@1 36.328 (33.893) Prec@5 63.672 (63.982) Epoch: [8][5520/5809] Time 3.493 (1.016) Data 3.430 (0.945) Loss 2.6872 (2.7562) Prec@1 39.062 (33.896) Prec@5 62.891 (63.980) Epoch: [8][5530/5809] Time 0.987 (1.018) Data 0.928 (0.947) Loss 2.6580 (2.7561) Prec@1 30.469 (33.899) Prec@5 68.359 (63.983) Epoch: [8][5540/5809] Time 5.436 (1.021) Data 5.377 (0.949) Loss 2.7500 (2.7560) Prec@1 33.203 (33.900) Prec@5 63.672 (63.985) Epoch: [8][5550/5809] Time 0.575 (1.022) Data 0.516 (0.951) Loss 2.9057 (2.7559) Prec@1 31.250 (33.900) Prec@5 59.766 (63.986) Epoch: [8][5560/5809] Time 5.133 (1.025) Data 5.075 (0.953) Loss 2.7154 (2.7560) Prec@1 32.422 (33.897) Prec@5 66.797 (63.985) Epoch: [8][5570/5809] Time 1.491 (1.026) Data 1.432 (0.955) Loss 2.7701 (2.7560) Prec@1 33.594 (33.897) Prec@5 62.500 (63.984) Epoch: [8][5580/5809] Time 9.796 (1.029) Data 9.738 (0.958) Loss 2.6579 (2.7560) Prec@1 38.281 (33.895) Prec@5 69.141 (63.983) Epoch: [8][5590/5809] Time 0.976 (1.032) Data 0.917 (0.960) Loss 2.8817 (2.7561) Prec@1 33.203 (33.895) Prec@5 61.328 (63.981) Epoch: [8][5600/5809] Time 7.029 (1.034) Data 6.970 (0.963) Loss 2.6767 (2.7560) Prec@1 36.719 (33.898) Prec@5 63.672 (63.983) Epoch: [8][5610/5809] Time 0.745 (1.036) Data 0.679 (0.965) Loss 2.6895 (2.7560) Prec@1 32.812 (33.898) Prec@5 62.500 (63.985) Epoch: [8][5620/5809] Time 7.048 (1.040) Data 6.989 (0.968) Loss 2.6203 (2.7560) Prec@1 38.281 (33.898) Prec@5 66.406 (63.983) Epoch: [8][5630/5809] Time 0.364 (1.043) Data 0.306 (0.971) Loss 2.6701 (2.7559) Prec@1 34.375 (33.898) Prec@5 67.969 (63.984) Epoch: [8][5640/5809] Time 6.956 (1.046) Data 6.895 (0.975) Loss 2.6414 (2.7558) Prec@1 37.109 (33.902) Prec@5 69.531 (63.989) Epoch: [8][5650/5809] Time 0.133 (1.048) Data 0.001 (0.976) Loss 3.0644 (2.7557) Prec@1 25.391 (33.902) Prec@5 58.984 (63.991) Epoch: [8][5660/5809] Time 7.296 (1.051) Data 7.230 (0.980) Loss 2.7785 (2.7557) Prec@1 30.469 (33.902) Prec@5 68.750 (63.992) Epoch: [8][5670/5809] Time 0.195 (1.052) Data 0.136 (0.981) Loss 2.7020 (2.7557) Prec@1 34.375 (33.901) Prec@5 64.062 (63.990) Epoch: [8][5680/5809] Time 7.107 (1.055) Data 7.043 (0.984) Loss 2.4979 (2.7557) Prec@1 33.594 (33.900) Prec@5 66.797 (63.991) Epoch: [8][5690/5809] Time 0.132 (1.057) Data 0.001 (0.985) Loss 3.1249 (2.7558) Prec@1 28.125 (33.897) Prec@5 55.469 (63.989) Epoch: [8][5700/5809] Time 4.042 (1.059) Data 3.984 (0.987) Loss 2.5537 (2.7557) Prec@1 37.891 (33.898) Prec@5 64.453 (63.989) Epoch: [8][5710/5809] Time 0.134 (1.061) Data 0.001 (0.989) Loss 2.6721 (2.7557) Prec@1 32.031 (33.899) Prec@5 64.453 (63.988) Epoch: [8][5720/5809] Time 6.292 (1.063) Data 6.229 (0.992) Loss 2.8344 (2.7557) Prec@1 33.594 (33.899) Prec@5 60.938 (63.985) Epoch: [8][5730/5809] Time 1.477 (1.064) Data 1.407 (0.993) Loss 2.8136 (2.7557) Prec@1 31.641 (33.898) Prec@5 61.328 (63.987) Epoch: [8][5740/5809] Time 5.916 (1.066) Data 5.854 (0.995) Loss 2.8138 (2.7556) Prec@1 33.594 (33.898) Prec@5 62.500 (63.988) Epoch: [8][5750/5809] Time 1.822 (1.068) Data 1.762 (0.997) Loss 2.8996 (2.7555) Prec@1 30.859 (33.898) Prec@5 60.547 (63.989) Epoch: [8][5760/5809] Time 4.511 (1.070) Data 4.453 (0.999) Loss 2.8415 (2.7555) Prec@1 29.297 (33.897) Prec@5 62.500 (63.990) Epoch: [8][5770/5809] Time 1.899 (1.072) Data 1.837 (1.000) Loss 2.5201 (2.7555) Prec@1 37.109 (33.899) Prec@5 70.312 (63.992) Epoch: [8][5780/5809] Time 4.041 (1.073) Data 3.979 (1.002) Loss 2.6289 (2.7554) Prec@1 36.328 (33.901) Prec@5 68.359 (63.996) Epoch: [8][5790/5809] Time 1.926 (1.076) Data 1.861 (1.004) Loss 2.5963 (2.7554) Prec@1 33.203 (33.900) Prec@5 69.922 (63.994) Epoch: [8][5800/5809] Time 2.610 (1.077) Data 2.552 (1.006) Loss 2.8136 (2.7555) Prec@1 35.938 (33.898) Prec@5 60.938 (63.992) Test: [0/143] Time 2.559 (2.559) Loss 1.7424 (1.7424) Prec@1 52.344 (52.344) Prec@5 83.594 (83.594) Test: [10/143] Time 0.055 (0.679) Loss 10.0601 (8.6756) Prec@1 0.000 (6.357) Prec@5 0.000 (13.885) Test: [20/143] Time 1.005 (0.611) Loss 10.2743 (9.4469) Prec@1 0.000 (3.423) Prec@5 0.391 (8.110) Test: [30/143] Time 0.442 (0.553) Loss 12.0444 (10.0028) Prec@1 0.000 (2.331) Prec@5 0.000 (5.771) Test: [40/143] Time 0.874 (0.542) Loss 10.9102 (10.1316) Prec@1 0.391 (1.782) Prec@5 1.172 (4.592) Test: [50/143] Time 0.058 (0.524) Loss 8.7815 (10.1435) Prec@1 0.000 (1.540) Prec@5 1.172 (4.718) Test: [60/143] Time 0.904 (0.523) Loss 11.4672 (10.2747) Prec@1 0.000 (1.294) Prec@5 1.172 (4.041) Test: [70/143] Time 0.223 (0.511) Loss 9.2672 (10.3579) Prec@1 0.000 (1.139) Prec@5 0.781 (3.604) Test: [80/143] Time 1.026 (0.520) Loss 8.3394 (10.3316) Prec@1 0.781 (1.046) Prec@5 2.734 (3.414) Test: [90/143] Time 0.110 (0.523) Loss 8.9568 (10.2658) Prec@1 0.391 (0.957) Prec@5 2.734 (3.219) Test: [100/143] Time 1.467 (0.530) Loss 10.5322 (10.2535) Prec@1 0.000 (0.882) Prec@5 0.391 (2.994) Test: [110/143] Time 0.227 (0.522) Loss 12.5849 (10.2477) Prec@1 0.000 (0.816) Prec@5 0.000 (2.833) Test: [120/143] Time 0.906 (0.523) Loss 13.5043 (10.3197) Prec@1 0.000 (0.772) Prec@5 0.000 (2.692) Test: [130/143] Time 0.399 (0.513) Loss 13.7456 (10.6354) Prec@1 0.000 (0.713) Prec@5 0.000 (2.487) Test: [140/143] Time 0.786 (0.510) Loss 16.5434 (10.9341) Prec@1 0.000 (0.662) Prec@5 0.000 (2.311) * Prec@1 0.655 Prec@5 2.286 Epoch: [9][0/5809] Time 5.314 (5.314) Data 5.244 (5.244) Loss 2.5153 (2.5153) Prec@1 34.375 (34.375) Prec@5 66.016 (66.016) Epoch: [9][10/5809] Time 0.131 (1.781) Data 0.001 (1.698) Loss 2.8563 (2.6917) Prec@1 30.078 (35.227) Prec@5 58.984 (65.412) Epoch: [9][20/5809] Time 7.412 (2.027) Data 7.354 (1.945) Loss 2.6603 (2.6978) Prec@1 32.422 (34.673) Prec@5 68.359 (65.234) Epoch: [9][30/5809] Time 0.138 (1.778) Data 0.001 (1.698) Loss 2.6987 (2.7017) Prec@1 31.641 (34.262) Prec@5 63.281 (65.398) Epoch: [9][40/5809] Time 6.356 (1.793) Data 6.297 (1.714) Loss 2.6535 (2.6940) Prec@1 34.375 (34.280) Prec@5 65.625 (65.539) Epoch: [9][50/5809] Time 0.745 (1.704) Data 0.686 (1.623) Loss 2.5229 (2.6984) Prec@1 42.188 (34.298) Prec@5 68.750 (65.479) Epoch: [9][60/5809] Time 4.351 (1.673) Data 4.293 (1.590) Loss 2.7393 (2.7012) Prec@1 33.203 (34.458) Prec@5 64.844 (65.510) Epoch: [9][70/5809] Time 0.230 (1.570) Data 0.171 (1.488) Loss 2.6091 (2.6940) Prec@1 33.203 (34.689) Prec@5 67.188 (65.664) Epoch: [9][80/5809] Time 4.507 (1.568) Data 4.448 (1.489) Loss 2.8943 (2.6952) Prec@1 32.812 (34.611) Prec@5 60.547 (65.611) Epoch: [9][90/5809] Time 0.132 (1.508) Data 0.001 (1.427) Loss 2.7231 (2.7029) Prec@1 30.859 (34.551) Prec@5 61.328 (65.269) Epoch: [9][100/5809] Time 2.959 (1.485) Data 2.898 (1.406) Loss 2.6761 (2.7091) Prec@1 35.938 (34.379) Prec@5 66.016 (65.172) Epoch: [9][110/5809] Time 0.922 (1.445) Data 0.863 (1.367) Loss 2.5231 (2.7160) Prec@1 40.234 (34.298) Prec@5 69.141 (64.988) Epoch: [9][120/5809] Time 2.117 (1.425) Data 2.059 (1.347) Loss 2.5680 (2.7097) Prec@1 39.062 (34.398) Prec@5 66.797 (65.073) Epoch: [9][130/5809] Time 0.584 (1.408) Data 0.520 (1.331) Loss 2.9163 (2.7118) Prec@1 32.031 (34.381) Prec@5 61.328 (65.061) Epoch: [9][140/5809] Time 1.754 (1.407) Data 1.695 (1.331) Loss 2.5406 (2.7124) Prec@1 37.500 (34.433) Prec@5 67.969 (64.963) Epoch: [9][150/5809] Time 1.888 (1.401) Data 1.826 (1.326) Loss 2.7758 (2.7100) Prec@1 30.859 (34.484) Prec@5 63.672 (65.053) Epoch: [9][160/5809] Time 0.132 (1.377) Data 0.001 (1.303) Loss 2.7524 (2.7103) Prec@1 32.422 (34.506) Prec@5 64.453 (65.103) Epoch: [9][170/5809] Time 2.635 (1.376) Data 2.572 (1.302) Loss 2.6240 (2.7113) Prec@1 35.547 (34.533) Prec@5 63.281 (65.006) Epoch: [9][180/5809] Time 0.133 (1.356) Data 0.042 (1.282) Loss 2.7997 (2.7091) Prec@1 33.203 (34.554) Prec@5 61.719 (65.019) Epoch: [9][190/5809] Time 1.552 (1.354) Data 1.493 (1.279) Loss 2.6540 (2.7043) Prec@1 34.375 (34.635) Prec@5 66.797 (65.079) Epoch: [9][200/5809] Time 0.942 (1.347) Data 0.883 (1.273) Loss 2.6268 (2.7014) Prec@1 37.891 (34.676) Prec@5 65.234 (65.122) Epoch: [9][210/5809] Time 1.168 (1.342) Data 1.105 (1.269) Loss 2.7228 (2.7004) Prec@1 39.453 (34.719) Prec@5 63.281 (65.127) Epoch: [9][220/5809] Time 1.149 (1.329) Data 1.089 (1.257) Loss 2.8691 (2.7012) Prec@1 29.297 (34.690) Prec@5 64.062 (65.118) Epoch: [9][230/5809] Time 0.310 (1.321) Data 0.247 (1.249) Loss 2.8472 (2.7015) Prec@1 33.203 (34.722) Prec@5 60.547 (65.102) Epoch: [9][240/5809] Time 3.227 (1.318) Data 3.157 (1.247) Loss 2.8093 (2.7055) Prec@1 31.641 (34.693) Prec@5 60.547 (64.993) Epoch: [9][250/5809] Time 0.132 (1.314) Data 0.001 (1.242) Loss 2.7636 (2.7055) Prec@1 31.250 (34.682) Prec@5 64.062 (64.988) Epoch: [9][260/5809] Time 4.579 (1.321) Data 4.521 (1.248) Loss 2.8656 (2.7049) Prec@1 32.422 (34.698) Prec@5 66.016 (65.007) Epoch: [9][270/5809] Time 0.334 (1.310) Data 0.269 (1.236) Loss 2.8984 (2.7059) Prec@1 34.766 (34.696) Prec@5 62.109 (64.981) Epoch: [9][280/5809] Time 5.040 (1.321) Data 4.982 (1.247) Loss 2.6441 (2.7038) Prec@1 35.547 (34.766) Prec@5 67.188 (65.051) Epoch: [9][290/5809] Time 0.136 (1.305) Data 0.072 (1.231) Loss 2.6010 (2.7047) Prec@1 37.109 (34.778) Prec@5 65.625 (65.016) Epoch: [9][300/5809] Time 3.193 (1.300) Data 3.134 (1.225) Loss 2.8931 (2.7064) Prec@1 35.156 (34.776) Prec@5 62.500 (64.975) Epoch: [9][310/5809] Time 0.133 (1.290) Data 0.001 (1.215) Loss 2.7967 (2.7075) Prec@1 33.594 (34.738) Prec@5 64.062 (64.942) Epoch: [9][320/5809] Time 2.816 (1.290) Data 2.748 (1.215) Loss 2.5410 (2.7077) Prec@1 38.672 (34.712) Prec@5 68.359 (64.909) Epoch: [9][330/5809] Time 0.860 (1.300) Data 0.801 (1.225) Loss 2.7288 (2.7076) Prec@1 32.812 (34.726) Prec@5 66.016 (64.922) Epoch: [9][340/5809] Time 2.332 (1.336) Data 2.273 (1.262) Loss 2.5564 (2.7072) Prec@1 33.594 (34.684) Prec@5 68.359 (64.915) Epoch: [9][350/5809] Time 0.565 (1.337) Data 0.505 (1.263) Loss 2.8343 (2.7081) Prec@1 30.078 (34.638) Prec@5 63.672 (64.911) Epoch: [9][360/5809] Time 0.132 (1.337) Data 0.042 (1.263) Loss 2.7784 (2.7067) Prec@1 34.766 (34.669) Prec@5 62.500 (64.926) Epoch: [9][370/5809] Time 0.914 (1.335) Data 0.855 (1.261) Loss 2.6199 (2.7080) Prec@1 33.984 (34.621) Prec@5 70.312 (64.903) Epoch: [9][380/5809] Time 0.366 (1.333) Data 0.305 (1.259) Loss 2.6705 (2.7078) Prec@1 36.719 (34.616) Prec@5 63.672 (64.902) Epoch: [9][390/5809] Time 2.255 (1.333) Data 2.196 (1.260) Loss 2.6572 (2.7096) Prec@1 35.156 (34.601) Prec@5 64.453 (64.851) Epoch: [9][400/5809] Time 0.736 (1.327) Data 0.677 (1.254) Loss 2.7130 (2.7087) Prec@1 33.203 (34.614) Prec@5 67.578 (64.892) Epoch: [9][410/5809] Time 1.263 (1.320) Data 1.200 (1.247) Loss 2.7942 (2.7076) Prec@1 31.250 (34.622) Prec@5 62.500 (64.921) Epoch: [9][420/5809] Time 0.782 (1.312) Data 0.724 (1.240) Loss 2.8706 (2.7083) Prec@1 33.984 (34.650) Prec@5 62.109 (64.879) Epoch: [9][430/5809] Time 3.030 (1.311) Data 2.969 (1.238) Loss 2.6814 (2.7076) Prec@1 33.203 (34.692) Prec@5 66.406 (64.886) Epoch: [9][440/5809] Time 0.136 (1.308) Data 0.001 (1.235) Loss 2.6704 (2.7085) Prec@1 33.984 (34.697) Prec@5 64.453 (64.864) Epoch: [9][450/5809] Time 2.699 (1.312) Data 2.635 (1.240) Loss 2.7479 (2.7096) Prec@1 31.641 (34.659) Prec@5 64.062 (64.837) Epoch: [9][460/5809] Time 0.132 (1.310) Data 0.050 (1.238) Loss 2.5212 (2.7091) Prec@1 41.016 (34.683) Prec@5 68.359 (64.857) Epoch: [9][470/5809] Time 3.283 (1.320) Data 3.220 (1.247) Loss 2.6887 (2.7106) Prec@1 35.547 (34.678) Prec@5 65.234 (64.828) Epoch: [9][480/5809] Time 0.270 (1.317) Data 0.211 (1.244) Loss 2.7826 (2.7123) Prec@1 28.906 (34.632) Prec@5 62.500 (64.807) Epoch: [9][490/5809] Time 2.291 (1.322) Data 2.233 (1.250) Loss 2.5198 (2.7128) Prec@1 37.109 (34.599) Prec@5 66.406 (64.793) Epoch: [9][500/5809] Time 1.283 (1.320) Data 1.223 (1.248) Loss 2.6605 (2.7152) Prec@1 37.500 (34.587) Prec@5 63.672 (64.753) Epoch: [9][510/5809] Time 3.080 (1.322) Data 3.018 (1.250) Loss 2.6862 (2.7156) Prec@1 35.547 (34.589) Prec@5 65.625 (64.759) Epoch: [9][520/5809] Time 0.852 (1.323) Data 0.793 (1.252) Loss 2.8883 (2.7167) Prec@1 35.156 (34.595) Prec@5 60.547 (64.739) Epoch: [9][530/5809] Time 3.109 (1.323) Data 3.046 (1.251) Loss 2.6869 (2.7176) Prec@1 32.422 (34.594) Prec@5 66.406 (64.733) Epoch: [9][540/5809] Time 0.850 (1.317) Data 0.790 (1.245) Loss 2.7835 (2.7173) Prec@1 33.594 (34.590) Prec@5 64.453 (64.744) Epoch: [9][550/5809] Time 3.291 (1.313) Data 3.230 (1.241) Loss 2.8358 (2.7174) Prec@1 34.375 (34.591) Prec@5 64.453 (64.728) Epoch: [9][560/5809] Time 0.133 (1.309) Data 0.001 (1.237) Loss 2.9021 (2.7184) Prec@1 28.516 (34.588) Prec@5 64.062 (64.713) Epoch: [9][570/5809] Time 3.056 (1.311) Data 2.996 (1.239) Loss 2.7763 (2.7190) Prec@1 32.812 (34.564) Prec@5 64.453 (64.707) Epoch: [9][580/5809] Time 0.132 (1.309) Data 0.046 (1.237) Loss 2.7136 (2.7192) Prec@1 29.688 (34.556) Prec@5 64.062 (64.694) Epoch: [9][590/5809] Time 1.275 (1.308) Data 1.217 (1.236) Loss 2.7891 (2.7194) Prec@1 31.641 (34.564) Prec@5 62.500 (64.694) Epoch: [9][600/5809] Time 1.682 (1.311) Data 1.623 (1.239) Loss 2.6416 (2.7197) Prec@1 35.547 (34.566) Prec@5 63.672 (64.674) Epoch: [9][610/5809] Time 1.596 (1.310) Data 1.537 (1.239) Loss 2.6610 (2.7200) Prec@1 37.109 (34.545) Prec@5 69.141 (64.674) Epoch: [9][620/5809] Time 0.468 (1.308) Data 0.410 (1.237) Loss 2.7694 (2.7195) Prec@1 33.984 (34.552) Prec@5 64.453 (64.676) Epoch: [9][630/5809] Time 1.312 (1.312) Data 1.252 (1.240) Loss 2.7475 (2.7199) Prec@1 35.156 (34.550) Prec@5 65.234 (64.665) Epoch: [9][640/5809] Time 1.227 (1.314) Data 1.168 (1.242) Loss 2.7158 (2.7209) Prec@1 33.203 (34.534) Prec@5 63.281 (64.662) Epoch: [9][650/5809] Time 1.406 (1.311) Data 1.344 (1.240) Loss 2.8400 (2.7220) Prec@1 36.328 (34.543) Prec@5 63.281 (64.640) Epoch: [9][660/5809] Time 0.277 (1.309) Data 0.218 (1.238) Loss 2.9478 (2.7218) Prec@1 29.688 (34.551) Prec@5 60.156 (64.658) Epoch: [9][670/5809] Time 0.901 (1.309) Data 0.841 (1.238) Loss 2.8287 (2.7225) Prec@1 32.031 (34.543) Prec@5 60.547 (64.643) Epoch: [9][680/5809] Time 0.865 (1.305) Data 0.807 (1.234) Loss 2.9119 (2.7222) Prec@1 35.547 (34.558) Prec@5 58.594 (64.652) Epoch: [9][690/5809] Time 0.623 (1.306) Data 0.565 (1.235) Loss 2.9520 (2.7227) Prec@1 30.469 (34.538) Prec@5 62.891 (64.650) Epoch: [9][700/5809] Time 0.629 (1.302) Data 0.566 (1.231) Loss 2.9104 (2.7235) Prec@1 29.297 (34.514) Prec@5 60.547 (64.616) Epoch: [9][710/5809] Time 1.203 (1.302) Data 1.143 (1.231) Loss 2.6412 (2.7234) Prec@1 31.641 (34.517) Prec@5 68.359 (64.614) Epoch: [9][720/5809] Time 0.132 (1.297) Data 0.001 (1.226) Loss 2.5712 (2.7229) Prec@1 40.625 (34.527) Prec@5 68.750 (64.616) Epoch: [9][730/5809] Time 1.841 (1.298) Data 1.780 (1.226) Loss 2.6319 (2.7234) Prec@1 36.328 (34.518) Prec@5 65.234 (64.596) Epoch: [9][740/5809] Time 1.183 (1.296) Data 1.124 (1.225) Loss 2.6485 (2.7241) Prec@1 39.062 (34.507) Prec@5 65.625 (64.575) Epoch: [9][750/5809] Time 1.261 (1.299) Data 1.202 (1.228) Loss 2.4862 (2.7245) Prec@1 39.844 (34.498) Prec@5 69.141 (64.576) Epoch: [9][760/5809] Time 0.131 (1.297) Data 0.001 (1.226) Loss 2.8214 (2.7244) Prec@1 33.984 (34.498) Prec@5 64.062 (64.589) Epoch: [9][770/5809] Time 0.679 (1.295) Data 0.619 (1.224) Loss 2.6089 (2.7246) Prec@1 35.547 (34.484) Prec@5 63.672 (64.586) Epoch: [9][780/5809] Time 1.793 (1.297) Data 1.734 (1.226) Loss 2.6786 (2.7249) Prec@1 39.062 (34.463) Prec@5 62.891 (64.582) Epoch: [9][790/5809] Time 0.746 (1.293) Data 0.684 (1.222) Loss 2.8463 (2.7254) Prec@1 30.078 (34.443) Prec@5 58.203 (64.568) Epoch: [9][800/5809] Time 0.460 (1.292) Data 0.402 (1.221) Loss 2.8755 (2.7252) Prec@1 31.250 (34.435) Prec@5 63.672 (64.582) Epoch: [9][810/5809] Time 0.161 (1.289) Data 0.095 (1.218) Loss 2.7356 (2.7253) Prec@1 37.500 (34.441) Prec@5 64.844 (64.580) Epoch: [9][820/5809] Time 0.969 (1.289) Data 0.908 (1.219) Loss 2.5270 (2.7240) Prec@1 39.062 (34.466) Prec@5 67.578 (64.603) Epoch: [9][830/5809] Time 0.929 (1.289) Data 0.868 (1.218) Loss 2.7703 (2.7241) Prec@1 34.375 (34.470) Prec@5 61.719 (64.594) Epoch: [9][840/5809] Time 2.352 (1.292) Data 2.293 (1.222) Loss 2.5977 (2.7235) Prec@1 39.062 (34.489) Prec@5 68.359 (64.618) Epoch: [9][850/5809] Time 1.523 (1.294) Data 1.458 (1.223) Loss 2.5610 (2.7230) Prec@1 41.797 (34.493) Prec@5 68.750 (64.634) Epoch: [9][860/5809] Time 0.399 (1.292) Data 0.340 (1.221) Loss 2.9726 (2.7235) Prec@1 29.688 (34.479) Prec@5 58.984 (64.622) Epoch: [9][870/5809] Time 1.484 (1.291) Data 1.425 (1.220) Loss 2.7380 (2.7233) Prec@1 35.938 (34.488) Prec@5 64.453 (64.633) Epoch: [9][880/5809] Time 1.487 (1.289) Data 1.428 (1.218) Loss 2.6947 (2.7234) Prec@1 35.547 (34.481) Prec@5 64.844 (64.633) Epoch: [9][890/5809] Time 0.649 (1.287) Data 0.591 (1.217) Loss 2.6434 (2.7229) Prec@1 37.500 (34.490) Prec@5 66.797 (64.646) Epoch: [9][900/5809] Time 1.999 (1.288) Data 1.940 (1.218) Loss 2.6587 (2.7224) Prec@1 35.547 (34.504) Prec@5 66.016 (64.656) Epoch: [9][910/5809] Time 0.999 (1.286) Data 0.935 (1.216) Loss 2.8320 (2.7218) Prec@1 27.344 (34.512) Prec@5 66.016 (64.667) Epoch: [9][920/5809] Time 2.354 (1.287) Data 2.290 (1.217) Loss 2.7764 (2.7225) Prec@1 33.594 (34.497) Prec@5 65.234 (64.658) Epoch: [9][930/5809] Time 1.177 (1.286) Data 1.118 (1.216) Loss 2.7785 (2.7228) Prec@1 36.719 (34.495) Prec@5 62.500 (64.655) Epoch: [9][940/5809] Time 0.441 (1.285) Data 0.382 (1.215) Loss 2.5932 (2.7233) Prec@1 37.891 (34.498) Prec@5 65.625 (64.652) Epoch: [9][950/5809] Time 0.274 (1.288) Data 0.215 (1.218) Loss 2.6979 (2.7229) Prec@1 37.891 (34.511) Prec@5 66.016 (64.653) Epoch: [9][960/5809] Time 1.085 (1.286) Data 1.026 (1.215) Loss 2.7388 (2.7234) Prec@1 32.031 (34.495) Prec@5 61.328 (64.645) Epoch: [9][970/5809] Time 1.891 (1.287) Data 1.831 (1.217) Loss 2.6839 (2.7230) Prec@1 37.109 (34.508) Prec@5 65.234 (64.644) Epoch: [9][980/5809] Time 1.912 (1.286) Data 1.853 (1.216) Loss 2.6363 (2.7228) Prec@1 35.156 (34.498) Prec@5 65.234 (64.651) Epoch: [9][990/5809] Time 1.095 (1.283) Data 1.037 (1.213) Loss 2.5527 (2.7230) Prec@1 38.672 (34.498) Prec@5 71.484 (64.652) Epoch: [9][1000/5809] Time 2.564 (1.282) Data 2.506 (1.212) Loss 2.6612 (2.7235) Prec@1 37.109 (34.500) Prec@5 68.359 (64.643) Epoch: [9][1010/5809] Time 0.135 (1.282) Data 0.001 (1.212) Loss 2.8241 (2.7240) Prec@1 32.031 (34.493) Prec@5 64.062 (64.626) Epoch: [9][1020/5809] Time 3.540 (1.283) Data 3.482 (1.213) Loss 2.9986 (2.7243) Prec@1 29.688 (34.492) Prec@5 58.203 (64.617) Epoch: [9][1030/5809] Time 0.322 (1.282) Data 0.263 (1.211) Loss 2.5168 (2.7234) Prec@1 41.406 (34.504) Prec@5 67.969 (64.637) Epoch: [9][1040/5809] Time 4.430 (1.284) Data 4.363 (1.214) Loss 2.7425 (2.7238) Prec@1 35.938 (34.501) Prec@5 60.156 (64.631) Epoch: [9][1050/5809] Time 0.131 (1.281) Data 0.001 (1.210) Loss 2.7439 (2.7237) Prec@1 33.594 (34.508) Prec@5 62.891 (64.628) Epoch: [9][1060/5809] Time 3.470 (1.282) Data 3.409 (1.211) Loss 2.6015 (2.7239) Prec@1 34.766 (34.499) Prec@5 69.922 (64.629) Epoch: [9][1070/5809] Time 0.133 (1.279) Data 0.045 (1.208) Loss 3.1011 (2.7241) Prec@1 30.469 (34.504) Prec@5 58.203 (64.621) Epoch: [9][1080/5809] Time 2.280 (1.278) Data 2.217 (1.207) Loss 2.6760 (2.7240) Prec@1 35.156 (34.511) Prec@5 64.062 (64.620) Epoch: [9][1090/5809] Time 0.474 (1.276) Data 0.415 (1.206) Loss 2.8788 (2.7239) Prec@1 29.688 (34.502) Prec@5 62.109 (64.621) Epoch: [9][1100/5809] Time 1.454 (1.276) Data 1.396 (1.206) Loss 2.7133 (2.7242) Prec@1 34.766 (34.490) Prec@5 62.500 (64.612) Epoch: [9][1110/5809] Time 0.227 (1.274) Data 0.166 (1.203) Loss 2.8686 (2.7239) Prec@1 31.250 (34.498) Prec@5 64.453 (64.628) Epoch: [9][1120/5809] Time 1.182 (1.274) Data 1.124 (1.203) Loss 2.6421 (2.7232) Prec@1 34.375 (34.501) Prec@5 68.750 (64.637) Epoch: [9][1130/5809] Time 0.549 (1.273) Data 0.491 (1.203) Loss 2.6644 (2.7228) Prec@1 38.281 (34.510) Prec@5 62.891 (64.635) Epoch: [9][1140/5809] Time 0.253 (1.273) Data 0.192 (1.203) Loss 2.5892 (2.7230) Prec@1 37.891 (34.504) Prec@5 69.531 (64.636) Epoch: [9][1150/5809] Time 2.523 (1.274) Data 2.459 (1.204) Loss 2.6249 (2.7227) Prec@1 37.500 (34.504) Prec@5 66.016 (64.638) Epoch: [9][1160/5809] Time 0.690 (1.274) Data 0.631 (1.204) Loss 2.5049 (2.7225) Prec@1 36.328 (34.510) Prec@5 69.531 (64.640) Epoch: [9][1170/5809] Time 1.282 (1.274) Data 1.223 (1.204) Loss 2.6503 (2.7233) Prec@1 32.812 (34.495) Prec@5 66.406 (64.625) Epoch: [9][1180/5809] Time 0.954 (1.273) Data 0.890 (1.203) Loss 2.7388 (2.7229) Prec@1 34.375 (34.494) Prec@5 65.234 (64.633) Epoch: [9][1190/5809] Time 0.225 (1.272) Data 0.167 (1.202) Loss 2.7941 (2.7230) Prec@1 28.516 (34.498) Prec@5 66.016 (64.634) Epoch: [9][1200/5809] Time 0.133 (1.273) Data 0.001 (1.203) Loss 2.7778 (2.7229) Prec@1 34.766 (34.500) Prec@5 66.406 (64.633) Epoch: [9][1210/5809] Time 0.133 (1.273) Data 0.001 (1.203) Loss 2.7399 (2.7230) Prec@1 34.766 (34.497) Prec@5 66.406 (64.636) Epoch: [9][1220/5809] Time 0.563 (1.277) Data 0.503 (1.207) Loss 2.5233 (2.7227) Prec@1 39.844 (34.504) Prec@5 69.141 (64.642) Epoch: [9][1230/5809] Time 0.487 (1.275) Data 0.425 (1.205) Loss 2.8358 (2.7227) Prec@1 33.984 (34.507) Prec@5 62.109 (64.641) Epoch: [9][1240/5809] Time 0.412 (1.277) Data 0.347 (1.206) Loss 2.7541 (2.7222) Prec@1 33.984 (34.513) Prec@5 61.719 (64.652) Epoch: [9][1250/5809] Time 0.603 (1.276) Data 0.544 (1.205) Loss 2.8154 (2.7222) Prec@1 34.375 (34.513) Prec@5 64.062 (64.652) Epoch: [9][1260/5809] Time 0.476 (1.277) Data 0.415 (1.207) Loss 2.5370 (2.7221) Prec@1 35.938 (34.513) Prec@5 70.703 (64.648) Epoch: [9][1270/5809] Time 0.291 (1.276) Data 0.232 (1.206) Loss 2.7465 (2.7221) Prec@1 33.594 (34.510) Prec@5 65.625 (64.654) Epoch: [9][1280/5809] Time 1.636 (1.277) Data 1.576 (1.207) Loss 2.5359 (2.7222) Prec@1 38.672 (34.511) Prec@5 67.969 (64.645) Epoch: [9][1290/5809] Time 1.020 (1.276) Data 0.957 (1.206) Loss 2.7731 (2.7226) Prec@1 32.812 (34.500) Prec@5 60.938 (64.639) Epoch: [9][1300/5809] Time 1.132 (1.277) Data 1.073 (1.207) Loss 2.7166 (2.7225) Prec@1 32.031 (34.492) Prec@5 65.234 (64.649) Epoch: [9][1310/5809] Time 0.596 (1.277) Data 0.537 (1.207) Loss 2.8686 (2.7226) Prec@1 30.859 (34.482) Prec@5 61.719 (64.652) Epoch: [9][1320/5809] Time 0.659 (1.276) Data 0.600 (1.206) Loss 2.8412 (2.7231) Prec@1 30.859 (34.473) Prec@5 61.719 (64.642) Epoch: [9][1330/5809] Time 0.257 (1.275) Data 0.197 (1.205) Loss 2.7511 (2.7232) Prec@1 32.031 (34.472) Prec@5 66.406 (64.641) Epoch: [9][1340/5809] Time 2.643 (1.279) Data 2.583 (1.209) Loss 2.7701 (2.7234) Prec@1 32.031 (34.462) Prec@5 66.797 (64.641) Epoch: [9][1350/5809] Time 0.661 (1.280) Data 0.599 (1.210) Loss 2.8903 (2.7240) Prec@1 32.812 (34.458) Prec@5 64.062 (64.623) Epoch: [9][1360/5809] Time 1.820 (1.282) Data 1.756 (1.211) Loss 2.8518 (2.7241) Prec@1 32.031 (34.446) Prec@5 64.453 (64.630) Epoch: [9][1370/5809] Time 0.961 (1.284) Data 0.902 (1.214) Loss 2.6980 (2.7243) Prec@1 33.594 (34.443) Prec@5 64.062 (64.621) Epoch: [9][1380/5809] Time 2.133 (1.287) Data 2.075 (1.217) Loss 2.8863 (2.7242) Prec@1 30.469 (34.441) Prec@5 61.328 (64.615) Epoch: [9][1390/5809] Time 1.155 (1.288) Data 1.091 (1.218) Loss 2.7876 (2.7242) Prec@1 33.203 (34.438) Prec@5 63.281 (64.615) Epoch: [9][1400/5809] Time 2.397 (1.291) Data 2.332 (1.220) Loss 2.8120 (2.7243) Prec@1 33.203 (34.433) Prec@5 62.109 (64.615) Epoch: [9][1410/5809] Time 1.954 (1.293) Data 1.896 (1.223) Loss 2.8697 (2.7243) Prec@1 35.938 (34.432) Prec@5 64.453 (64.622) Epoch: [9][1420/5809] Time 1.060 (1.293) Data 0.997 (1.223) Loss 2.6303 (2.7242) Prec@1 34.766 (34.431) Prec@5 67.969 (64.620) Epoch: [9][1430/5809] Time 2.289 (1.295) Data 2.230 (1.225) Loss 2.5963 (2.7242) Prec@1 35.547 (34.427) Prec@5 70.703 (64.626) Epoch: [9][1440/5809] Time 1.211 (1.297) Data 1.152 (1.227) Loss 2.8253 (2.7242) Prec@1 27.344 (34.423) Prec@5 62.109 (64.626) Epoch: [9][1450/5809] Time 1.459 (1.298) Data 1.400 (1.228) Loss 2.7709 (2.7241) Prec@1 36.719 (34.424) Prec@5 64.453 (64.625) Epoch: [9][1460/5809] Time 0.133 (1.300) Data 0.001 (1.230) Loss 2.9451 (2.7237) Prec@1 32.422 (34.426) Prec@5 62.109 (64.639) Epoch: [9][1470/5809] Time 0.198 (1.301) Data 0.138 (1.231) Loss 2.8050 (2.7240) Prec@1 35.938 (34.420) Prec@5 60.156 (64.631) Epoch: [9][1480/5809] Time 0.164 (1.303) Data 0.105 (1.233) Loss 2.8843 (2.7245) Prec@1 30.859 (34.406) Prec@5 62.500 (64.625) Epoch: [9][1490/5809] Time 1.124 (1.304) Data 1.066 (1.234) Loss 2.6335 (2.7243) Prec@1 37.500 (34.414) Prec@5 66.016 (64.627) Epoch: [9][1500/5809] Time 2.091 (1.304) Data 2.033 (1.234) Loss 2.7233 (2.7244) Prec@1 33.594 (34.411) Prec@5 64.062 (64.623) Epoch: [9][1510/5809] Time 1.910 (1.305) Data 1.844 (1.235) Loss 2.8620 (2.7246) Prec@1 33.203 (34.410) Prec@5 62.500 (64.619) Epoch: [9][1520/5809] Time 2.752 (1.306) Data 2.693 (1.236) Loss 2.9807 (2.7249) Prec@1 27.734 (34.403) Prec@5 60.547 (64.616) Epoch: [9][1530/5809] Time 1.645 (1.308) Data 1.587 (1.238) Loss 2.7223 (2.7248) Prec@1 35.156 (34.402) Prec@5 66.406 (64.619) Epoch: [9][1540/5809] Time 2.108 (1.308) Data 2.047 (1.238) Loss 2.7028 (2.7252) Prec@1 35.156 (34.402) Prec@5 63.281 (64.612) Epoch: [9][1550/5809] Time 1.152 (1.309) Data 1.090 (1.238) Loss 2.5979 (2.7254) Prec@1 37.500 (34.396) Prec@5 67.188 (64.608) Epoch: [9][1560/5809] Time 2.771 (1.312) Data 2.712 (1.242) Loss 3.0909 (2.7257) Prec@1 24.609 (34.387) Prec@5 56.250 (64.600) Epoch: [9][1570/5809] Time 0.683 (1.313) Data 0.625 (1.243) Loss 2.9313 (2.7256) Prec@1 26.953 (34.387) Prec@5 63.281 (64.605) Epoch: [9][1580/5809] Time 1.581 (1.315) Data 1.522 (1.245) Loss 2.8015 (2.7258) Prec@1 35.938 (34.383) Prec@5 64.453 (64.599) Epoch: [9][1590/5809] Time 1.538 (1.316) Data 1.479 (1.246) Loss 2.7426 (2.7255) Prec@1 34.766 (34.392) Prec@5 64.062 (64.601) Epoch: [9][1600/5809] Time 4.874 (1.320) Data 4.816 (1.250) Loss 2.6596 (2.7254) Prec@1 35.547 (34.395) Prec@5 68.359 (64.610) Epoch: [9][1610/5809] Time 0.357 (1.321) Data 0.297 (1.251) Loss 2.5121 (2.7250) Prec@1 34.375 (34.404) Prec@5 71.094 (64.621) Epoch: [9][1620/5809] Time 5.016 (1.323) Data 4.950 (1.253) Loss 2.8682 (2.7248) Prec@1 35.156 (34.412) Prec@5 62.109 (64.629) Epoch: [9][1630/5809] Time 0.707 (1.325) Data 0.649 (1.255) Loss 2.6811 (2.7246) Prec@1 34.375 (34.413) Prec@5 65.234 (64.631) Epoch: [9][1640/5809] Time 2.919 (1.327) Data 2.861 (1.257) Loss 2.6204 (2.7245) Prec@1 37.500 (34.421) Prec@5 62.891 (64.632) Epoch: [9][1650/5809] Time 0.855 (1.326) Data 0.796 (1.256) Loss 2.7114 (2.7253) Prec@1 31.250 (34.405) Prec@5 64.453 (64.615) Epoch: [9][1660/5809] Time 3.551 (1.329) Data 3.492 (1.259) Loss 2.7278 (2.7248) Prec@1 37.500 (34.413) Prec@5 64.844 (64.621) Epoch: [9][1670/5809] Time 0.133 (1.328) Data 0.001 (1.258) Loss 2.9035 (2.7248) Prec@1 30.469 (34.411) Prec@5 60.547 (64.620) Epoch: [9][1680/5809] Time 3.195 (1.330) Data 3.132 (1.260) Loss 2.8241 (2.7248) Prec@1 33.594 (34.412) Prec@5 64.453 (64.623) Epoch: [9][1690/5809] Time 0.134 (1.329) Data 0.001 (1.259) Loss 2.6963 (2.7248) Prec@1 34.375 (34.409) Prec@5 64.844 (64.623) Epoch: [9][1700/5809] Time 4.255 (1.330) Data 4.196 (1.260) Loss 2.7447 (2.7248) Prec@1 33.594 (34.399) Prec@5 64.453 (64.625) Epoch: [9][1710/5809] Time 0.234 (1.329) Data 0.175 (1.259) Loss 2.8234 (2.7253) Prec@1 35.156 (34.394) Prec@5 63.672 (64.612) Epoch: [9][1720/5809] Time 2.296 (1.329) Data 2.236 (1.259) Loss 2.8005 (2.7256) Prec@1 32.812 (34.390) Prec@5 61.719 (64.606) Epoch: [9][1730/5809] Time 0.132 (1.327) Data 0.046 (1.257) Loss 3.0733 (2.7260) Prec@1 29.297 (34.381) Prec@5 56.250 (64.599) Epoch: [9][1740/5809] Time 4.572 (1.327) Data 4.514 (1.257) Loss 2.8827 (2.7263) Prec@1 35.938 (34.376) Prec@5 62.891 (64.592) Epoch: [9][1750/5809] Time 0.202 (1.326) Data 0.144 (1.255) Loss 2.7521 (2.7264) Prec@1 32.812 (34.379) Prec@5 66.016 (64.595) Epoch: [9][1760/5809] Time 2.785 (1.325) Data 2.725 (1.255) Loss 2.9728 (2.7269) Prec@1 29.688 (34.371) Prec@5 60.547 (64.581) Epoch: [9][1770/5809] Time 0.495 (1.325) Data 0.437 (1.255) Loss 2.7009 (2.7267) Prec@1 32.812 (34.375) Prec@5 64.844 (64.584) Epoch: [9][1780/5809] Time 2.492 (1.326) Data 2.429 (1.255) Loss 2.8568 (2.7270) Prec@1 31.250 (34.366) Prec@5 62.500 (64.580) Epoch: [9][1790/5809] Time 0.133 (1.326) Data 0.001 (1.256) Loss 2.8099 (2.7271) Prec@1 34.375 (34.367) Prec@5 61.328 (64.582) Epoch: [9][1800/5809] Time 3.512 (1.329) Data 3.450 (1.259) Loss 2.7240 (2.7271) Prec@1 33.984 (34.370) Prec@5 60.547 (64.577) Epoch: [9][1810/5809] Time 0.451 (1.328) Data 0.393 (1.258) Loss 2.6984 (2.7269) Prec@1 35.938 (34.375) Prec@5 65.234 (64.583) Epoch: [9][1820/5809] Time 2.017 (1.328) Data 1.957 (1.258) Loss 2.6389 (2.7265) Prec@1 35.938 (34.383) Prec@5 69.531 (64.588) Epoch: [9][1830/5809] Time 0.628 (1.328) Data 0.570 (1.258) Loss 2.6991 (2.7270) Prec@1 37.891 (34.380) Prec@5 65.625 (64.572) Epoch: [9][1840/5809] Time 2.185 (1.327) Data 2.126 (1.257) Loss 2.7563 (2.7269) Prec@1 32.812 (34.382) Prec@5 66.016 (64.581) Epoch: [9][1850/5809] Time 0.582 (1.324) Data 0.523 (1.254) Loss 2.8394 (2.7270) Prec@1 30.469 (34.379) Prec@5 61.328 (64.578) Epoch: [9][1860/5809] Time 4.325 (1.326) Data 4.266 (1.256) Loss 2.7604 (2.7271) Prec@1 37.109 (34.378) Prec@5 60.547 (64.572) Epoch: [9][1870/5809] Time 0.739 (1.325) Data 0.681 (1.255) Loss 2.6639 (2.7271) Prec@1 35.938 (34.381) Prec@5 67.578 (64.578) Epoch: [9][1880/5809] Time 3.756 (1.326) Data 3.698 (1.256) Loss 2.8712 (2.7273) Prec@1 33.984 (34.376) Prec@5 59.375 (64.576) Epoch: [9][1890/5809] Time 0.243 (1.325) Data 0.185 (1.255) Loss 2.8090 (2.7272) Prec@1 28.906 (34.377) Prec@5 61.719 (64.581) Epoch: [9][1900/5809] Time 2.642 (1.326) Data 2.583 (1.256) Loss 2.7479 (2.7276) Prec@1 32.812 (34.370) Prec@5 62.891 (64.573) Epoch: [9][1910/5809] Time 0.523 (1.325) Data 0.464 (1.255) Loss 2.7046 (2.7277) Prec@1 35.938 (34.370) Prec@5 65.625 (64.570) Epoch: [9][1920/5809] Time 2.425 (1.323) Data 2.366 (1.254) Loss 2.6810 (2.7275) Prec@1 35.938 (34.373) Prec@5 65.625 (64.575) Epoch: [9][1930/5809] Time 0.133 (1.323) Data 0.004 (1.253) Loss 2.6916 (2.7275) Prec@1 33.594 (34.370) Prec@5 65.625 (64.577) Epoch: [9][1940/5809] Time 2.980 (1.323) Data 2.921 (1.253) Loss 2.7622 (2.7278) Prec@1 29.688 (34.363) Prec@5 67.188 (64.574) Epoch: [9][1950/5809] Time 0.234 (1.322) Data 0.176 (1.252) Loss 2.6294 (2.7275) Prec@1 33.984 (34.372) Prec@5 63.672 (64.578) Epoch: [9][1960/5809] Time 1.653 (1.323) Data 1.591 (1.253) Loss 2.8484 (2.7278) Prec@1 34.766 (34.367) Prec@5 62.109 (64.574) Epoch: [9][1970/5809] Time 0.758 (1.323) Data 0.696 (1.253) Loss 2.6515 (2.7279) Prec@1 31.641 (34.361) Prec@5 65.625 (64.575) Epoch: [9][1980/5809] Time 1.659 (1.323) Data 1.600 (1.253) Loss 2.6767 (2.7280) Prec@1 34.766 (34.365) Prec@5 64.062 (64.575) Epoch: [9][1990/5809] Time 1.392 (1.322) Data 1.334 (1.252) Loss 2.5195 (2.7279) Prec@1 38.672 (34.363) Prec@5 67.578 (64.578) Epoch: [9][2000/5809] Time 1.213 (1.320) Data 1.154 (1.250) Loss 2.6216 (2.7281) Prec@1 33.203 (34.357) Prec@5 66.406 (64.572) Epoch: [9][2010/5809] Time 1.743 (1.319) Data 1.685 (1.249) Loss 2.7955 (2.7279) Prec@1 35.547 (34.360) Prec@5 59.766 (64.572) Epoch: [9][2020/5809] Time 0.593 (1.319) Data 0.533 (1.250) Loss 2.7436 (2.7279) Prec@1 33.594 (34.362) Prec@5 65.234 (64.573) Epoch: [9][2030/5809] Time 2.030 (1.321) Data 1.972 (1.251) Loss 2.7962 (2.7277) Prec@1 33.203 (34.362) Prec@5 64.453 (64.574) Epoch: [9][2040/5809] Time 1.165 (1.321) Data 1.105 (1.251) Loss 2.9461 (2.7281) Prec@1 34.375 (34.359) Prec@5 58.594 (64.570) Epoch: [9][2050/5809] Time 3.071 (1.321) Data 3.013 (1.252) Loss 2.8617 (2.7283) Prec@1 34.766 (34.356) Prec@5 63.281 (64.570) Epoch: [9][2060/5809] Time 0.830 (1.320) Data 0.770 (1.251) Loss 2.5159 (2.7282) Prec@1 34.375 (34.353) Prec@5 70.312 (64.569) Epoch: [9][2070/5809] Time 3.446 (1.321) Data 3.387 (1.251) Loss 2.7184 (2.7285) Prec@1 31.641 (34.348) Prec@5 62.500 (64.565) Epoch: [9][2080/5809] Time 1.163 (1.319) Data 1.099 (1.250) Loss 2.6648 (2.7284) Prec@1 33.594 (34.349) Prec@5 65.625 (64.569) Epoch: [9][2090/5809] Time 2.046 (1.318) Data 1.987 (1.249) Loss 2.6501 (2.7283) Prec@1 37.891 (34.354) Prec@5 66.016 (64.573) Epoch: [9][2100/5809] Time 0.965 (1.317) Data 0.906 (1.247) Loss 2.5612 (2.7283) Prec@1 40.234 (34.356) Prec@5 66.406 (64.570) Epoch: [9][2110/5809] Time 3.293 (1.316) Data 3.235 (1.247) Loss 2.7670 (2.7282) Prec@1 33.984 (34.362) Prec@5 63.672 (64.573) Epoch: [9][2120/5809] Time 0.506 (1.315) Data 0.447 (1.246) Loss 2.7459 (2.7284) Prec@1 36.328 (34.358) Prec@5 64.062 (64.568) Epoch: [9][2130/5809] Time 4.570 (1.317) Data 4.511 (1.247) Loss 2.4769 (2.7287) Prec@1 37.891 (34.349) Prec@5 68.359 (64.561) Epoch: [9][2140/5809] Time 0.402 (1.315) Data 0.343 (1.245) Loss 2.6864 (2.7287) Prec@1 35.156 (34.349) Prec@5 66.406 (64.560) Epoch: [9][2150/5809] Time 4.230 (1.316) Data 4.171 (1.246) Loss 2.7578 (2.7287) Prec@1 30.078 (34.349) Prec@5 64.453 (64.561) Epoch: [9][2160/5809] Time 0.133 (1.314) Data 0.048 (1.244) Loss 2.8880 (2.7290) Prec@1 30.469 (34.339) Prec@5 60.547 (64.556) Epoch: [9][2170/5809] Time 4.409 (1.315) Data 4.350 (1.245) Loss 2.7133 (2.7291) Prec@1 33.203 (34.333) Prec@5 64.453 (64.555) Epoch: [9][2180/5809] Time 0.474 (1.315) Data 0.411 (1.245) Loss 2.6885 (2.7289) Prec@1 35.156 (34.336) Prec@5 65.625 (64.556) Epoch: [9][2190/5809] Time 3.301 (1.316) Data 3.242 (1.246) Loss 2.5686 (2.7289) Prec@1 38.672 (34.333) Prec@5 69.922 (64.557) Epoch: [9][2200/5809] Time 0.276 (1.315) Data 0.217 (1.246) Loss 2.7376 (2.7288) Prec@1 32.812 (34.334) Prec@5 64.062 (64.555) Epoch: [9][2210/5809] Time 3.038 (1.316) Data 2.976 (1.246) Loss 2.5333 (2.7288) Prec@1 39.453 (34.338) Prec@5 66.406 (64.560) Epoch: [9][2220/5809] Time 0.305 (1.314) Data 0.245 (1.245) Loss 2.6621 (2.7290) Prec@1 34.766 (34.337) Prec@5 65.625 (64.555) Epoch: [9][2230/5809] Time 2.179 (1.316) Data 2.120 (1.246) Loss 2.8803 (2.7291) Prec@1 31.641 (34.339) Prec@5 62.891 (64.552) Epoch: [9][2240/5809] Time 0.593 (1.315) Data 0.533 (1.246) Loss 2.5638 (2.7291) Prec@1 31.641 (34.335) Prec@5 65.625 (64.548) Epoch: [9][2250/5809] Time 2.670 (1.317) Data 2.610 (1.247) Loss 2.6434 (2.7291) Prec@1 36.328 (34.333) Prec@5 68.750 (64.553) Epoch: [9][2260/5809] Time 0.432 (1.316) Data 0.373 (1.247) Loss 2.5824 (2.7292) Prec@1 35.938 (34.335) Prec@5 67.578 (64.556) Epoch: [9][2270/5809] Time 1.458 (1.317) Data 1.400 (1.248) Loss 2.7963 (2.7293) Prec@1 33.594 (34.334) Prec@5 64.453 (64.554) Epoch: [9][2280/5809] Time 1.154 (1.317) Data 1.095 (1.248) Loss 2.8718 (2.7295) Prec@1 30.859 (34.328) Prec@5 64.453 (64.552) Epoch: [9][2290/5809] Time 0.388 (1.317) Data 0.328 (1.248) Loss 2.6818 (2.7297) Prec@1 34.375 (34.327) Prec@5 63.281 (64.544) Epoch: [9][2300/5809] Time 0.391 (1.317) Data 0.333 (1.247) Loss 2.8468 (2.7299) Prec@1 29.688 (34.323) Prec@5 63.672 (64.542) Epoch: [9][2310/5809] Time 0.504 (1.317) Data 0.443 (1.248) Loss 2.7506 (2.7297) Prec@1 35.156 (34.328) Prec@5 60.938 (64.545) Epoch: [9][2320/5809] Time 0.846 (1.317) Data 0.788 (1.247) Loss 2.7502 (2.7297) Prec@1 35.938 (34.327) Prec@5 63.281 (64.545) Epoch: [9][2330/5809] Time 0.373 (1.317) Data 0.315 (1.247) Loss 2.7064 (2.7297) Prec@1 32.031 (34.323) Prec@5 66.406 (64.547) Epoch: [9][2340/5809] Time 0.706 (1.316) Data 0.645 (1.247) Loss 2.6653 (2.7298) Prec@1 35.938 (34.326) Prec@5 63.672 (64.543) Epoch: [9][2350/5809] Time 1.041 (1.317) Data 0.983 (1.247) Loss 2.6360 (2.7296) Prec@1 32.031 (34.327) Prec@5 64.844 (64.547) Epoch: [9][2360/5809] Time 0.666 (1.317) Data 0.606 (1.248) Loss 2.7212 (2.7296) Prec@1 35.156 (34.331) Prec@5 64.453 (64.546) Epoch: [9][2370/5809] Time 0.709 (1.319) Data 0.643 (1.249) Loss 2.6069 (2.7295) Prec@1 33.594 (34.331) Prec@5 67.578 (64.550) Epoch: [9][2380/5809] Time 0.283 (1.319) Data 0.225 (1.249) Loss 2.6525 (2.7297) Prec@1 35.547 (34.325) Prec@5 66.016 (64.546) Epoch: [9][2390/5809] Time 2.041 (1.321) Data 1.982 (1.251) Loss 2.5762 (2.7297) Prec@1 37.500 (34.325) Prec@5 68.359 (64.552) Epoch: [9][2400/5809] Time 0.549 (1.321) Data 0.490 (1.251) Loss 2.9030 (2.7298) Prec@1 35.547 (34.324) Prec@5 61.719 (64.552) Epoch: [9][2410/5809] Time 2.736 (1.322) Data 2.673 (1.253) Loss 3.0046 (2.7299) Prec@1 26.953 (34.319) Prec@5 59.375 (64.546) Epoch: [9][2420/5809] Time 0.132 (1.323) Data 0.001 (1.253) Loss 2.8202 (2.7300) Prec@1 37.891 (34.321) Prec@5 65.234 (64.548) Epoch: [9][2430/5809] Time 1.537 (1.326) Data 1.478 (1.257) Loss 2.8415 (2.7301) Prec@1 32.031 (34.320) Prec@5 59.766 (64.542) Epoch: [9][2440/5809] Time 0.132 (1.327) Data 0.059 (1.257) Loss 2.6576 (2.7304) Prec@1 34.766 (34.312) Prec@5 66.016 (64.539) Epoch: [9][2450/5809] Time 0.572 (1.328) Data 0.508 (1.258) Loss 2.9236 (2.7304) Prec@1 27.734 (34.307) Prec@5 61.328 (64.534) Epoch: [9][2460/5809] Time 1.617 (1.328) Data 1.558 (1.259) Loss 2.5111 (2.7304) Prec@1 41.016 (34.307) Prec@5 69.141 (64.534) Epoch: [9][2470/5809] Time 1.912 (1.331) Data 1.852 (1.261) Loss 2.6601 (2.7304) Prec@1 35.547 (34.311) Prec@5 66.406 (64.534) Epoch: [9][2480/5809] Time 0.133 (1.331) Data 0.001 (1.261) Loss 2.7278 (2.7305) Prec@1 38.672 (34.316) Prec@5 64.453 (64.529) Epoch: [9][2490/5809] Time 1.302 (1.331) Data 1.242 (1.261) Loss 2.7424 (2.7303) Prec@1 33.594 (34.317) Prec@5 64.453 (64.537) Epoch: [9][2500/5809] Time 0.133 (1.330) Data 0.001 (1.261) Loss 2.8060 (2.7304) Prec@1 34.766 (34.314) Prec@5 61.328 (64.537) Epoch: [9][2510/5809] Time 2.032 (1.333) Data 1.968 (1.263) Loss 2.7616 (2.7302) Prec@1 33.594 (34.322) Prec@5 64.062 (64.539) Epoch: [9][2520/5809] Time 0.316 (1.333) Data 0.256 (1.263) Loss 2.7595 (2.7301) Prec@1 33.984 (34.327) Prec@5 63.281 (64.541) Epoch: [9][2530/5809] Time 1.588 (1.334) Data 1.530 (1.265) Loss 2.7770 (2.7301) Prec@1 37.109 (34.325) Prec@5 65.625 (64.540) Epoch: [9][2540/5809] Time 0.619 (1.334) Data 0.558 (1.264) Loss 2.9188 (2.7302) Prec@1 32.422 (34.323) Prec@5 63.672 (64.538) Epoch: [9][2550/5809] Time 0.889 (1.335) Data 0.830 (1.265) Loss 2.7506 (2.7301) Prec@1 34.375 (34.326) Prec@5 63.672 (64.539) Epoch: [9][2560/5809] Time 0.399 (1.333) Data 0.333 (1.263) Loss 2.6780 (2.7301) Prec@1 35.156 (34.327) Prec@5 66.797 (64.540) Epoch: [9][2570/5809] Time 0.434 (1.335) Data 0.375 (1.265) Loss 2.7158 (2.7299) Prec@1 34.766 (34.332) Prec@5 66.797 (64.543) Epoch: [9][2580/5809] Time 0.288 (1.334) Data 0.229 (1.264) Loss 2.7011 (2.7299) Prec@1 37.109 (34.334) Prec@5 68.359 (64.543) Epoch: [9][2590/5809] Time 1.309 (1.335) Data 1.241 (1.265) Loss 2.8544 (2.7296) Prec@1 31.641 (34.337) Prec@5 61.719 (64.547) Epoch: [9][2600/5809] Time 0.127 (1.334) Data 0.042 (1.265) Loss 2.9031 (2.7298) Prec@1 28.516 (34.335) Prec@5 59.375 (64.544) Epoch: [9][2610/5809] Time 1.908 (1.335) Data 1.849 (1.265) Loss 2.6766 (2.7297) Prec@1 37.500 (34.336) Prec@5 66.016 (64.542) Epoch: [9][2620/5809] Time 0.132 (1.335) Data 0.069 (1.265) Loss 2.6728 (2.7296) Prec@1 32.031 (34.335) Prec@5 62.891 (64.546) Epoch: [9][2630/5809] Time 2.181 (1.336) Data 2.122 (1.266) Loss 2.5625 (2.7296) Prec@1 39.844 (34.334) Prec@5 67.578 (64.546) Epoch: [9][2640/5809] Time 0.261 (1.335) Data 0.198 (1.265) Loss 2.7032 (2.7300) Prec@1 35.547 (34.329) Prec@5 63.281 (64.540) Epoch: [9][2650/5809] Time 1.537 (1.335) Data 1.479 (1.265) Loss 2.6995 (2.7300) Prec@1 38.672 (34.331) Prec@5 65.625 (64.541) Epoch: [9][2660/5809] Time 0.779 (1.335) Data 0.719 (1.265) Loss 2.5830 (2.7301) Prec@1 41.797 (34.330) Prec@5 65.625 (64.538) Epoch: [9][2670/5809] Time 1.931 (1.335) Data 1.873 (1.265) Loss 2.8743 (2.7304) Prec@1 26.172 (34.318) Prec@5 62.891 (64.537) Epoch: [9][2680/5809] Time 2.190 (1.335) Data 2.131 (1.265) Loss 2.5578 (2.7302) Prec@1 39.453 (34.328) Prec@5 70.312 (64.539) Epoch: [9][2690/5809] Time 0.148 (1.335) Data 0.083 (1.265) Loss 2.8220 (2.7304) Prec@1 31.641 (34.327) Prec@5 60.156 (64.538) Epoch: [9][2700/5809] Time 1.093 (1.334) Data 1.035 (1.264) Loss 2.6833 (2.7303) Prec@1 33.984 (34.330) Prec@5 66.406 (64.540) Epoch: [9][2710/5809] Time 0.132 (1.333) Data 0.001 (1.263) Loss 2.8342 (2.7304) Prec@1 34.766 (34.332) Prec@5 61.719 (64.534) Epoch: [9][2720/5809] Time 0.691 (1.333) Data 0.632 (1.263) Loss 2.8609 (2.7301) Prec@1 35.156 (34.340) Prec@5 62.500 (64.539) Epoch: [9][2730/5809] Time 0.141 (1.332) Data 0.001 (1.262) Loss 2.8234 (2.7303) Prec@1 33.594 (34.337) Prec@5 63.281 (64.535) Epoch: [9][2740/5809] Time 0.595 (1.331) Data 0.535 (1.261) Loss 2.6516 (2.7303) Prec@1 37.891 (34.339) Prec@5 62.109 (64.535) Epoch: [9][2750/5809] Time 0.250 (1.331) Data 0.188 (1.261) Loss 2.6332 (2.7304) Prec@1 29.688 (34.334) Prec@5 67.188 (64.532) Epoch: [9][2760/5809] Time 1.320 (1.330) Data 1.261 (1.260) Loss 2.7001 (2.7303) Prec@1 34.375 (34.336) Prec@5 64.844 (64.531) Epoch: [9][2770/5809] Time 0.142 (1.330) Data 0.001 (1.260) Loss 2.6782 (2.7304) Prec@1 32.812 (34.334) Prec@5 66.016 (64.528) Epoch: [9][2780/5809] Time 2.691 (1.330) Data 2.632 (1.260) Loss 2.6072 (2.7303) Prec@1 39.062 (34.334) Prec@5 62.109 (64.528) Epoch: [9][2790/5809] Time 0.132 (1.329) Data 0.001 (1.259) Loss 2.6357 (2.7304) Prec@1 37.891 (34.335) Prec@5 65.625 (64.527) Epoch: [9][2800/5809] Time 1.909 (1.328) Data 1.846 (1.258) Loss 2.8144 (2.7305) Prec@1 33.984 (34.334) Prec@5 63.281 (64.526) Epoch: [9][2810/5809] Time 0.132 (1.328) Data 0.001 (1.257) Loss 2.8553 (2.7307) Prec@1 33.594 (34.332) Prec@5 59.375 (64.519) Epoch: [9][2820/5809] Time 2.094 (1.327) Data 2.036 (1.257) Loss 2.6110 (2.7308) Prec@1 37.891 (34.330) Prec@5 68.359 (64.521) Epoch: [9][2830/5809] Time 0.793 (1.325) Data 0.730 (1.255) Loss 2.6178 (2.7307) Prec@1 36.328 (34.331) Prec@5 67.578 (64.521) Epoch: [9][2840/5809] Time 3.149 (1.325) Data 3.083 (1.255) Loss 2.5930 (2.7306) Prec@1 37.109 (34.336) Prec@5 66.406 (64.524) Epoch: [9][2850/5809] Time 1.395 (1.324) Data 1.337 (1.254) Loss 2.7389 (2.7306) Prec@1 36.328 (34.334) Prec@5 65.625 (64.519) Epoch: [9][2860/5809] Time 1.938 (1.323) Data 1.868 (1.253) Loss 2.8211 (2.7307) Prec@1 34.375 (34.332) Prec@5 63.281 (64.516) Epoch: [9][2870/5809] Time 1.660 (1.322) Data 1.601 (1.252) Loss 2.9766 (2.7308) Prec@1 27.734 (34.329) Prec@5 61.719 (64.519) Epoch: [9][2880/5809] Time 1.306 (1.321) Data 1.245 (1.251) Loss 2.5988 (2.7310) Prec@1 39.453 (34.327) Prec@5 65.234 (64.513) Epoch: [9][2890/5809] Time 1.321 (1.319) Data 1.262 (1.249) Loss 2.8409 (2.7311) Prec@1 31.250 (34.323) Prec@5 62.891 (64.510) Epoch: [9][2900/5809] Time 1.739 (1.318) Data 1.676 (1.248) Loss 2.6525 (2.7310) Prec@1 38.281 (34.327) Prec@5 68.750 (64.518) Epoch: [9][2910/5809] Time 1.752 (1.318) Data 1.693 (1.248) Loss 2.6164 (2.7309) Prec@1 32.422 (34.327) Prec@5 64.844 (64.520) Epoch: [9][2920/5809] Time 0.708 (1.317) Data 0.649 (1.247) Loss 3.0346 (2.7310) Prec@1 30.859 (34.321) Prec@5 58.594 (64.520) Epoch: [9][2930/5809] Time 2.485 (1.317) Data 2.426 (1.247) Loss 2.9584 (2.7309) Prec@1 27.734 (34.319) Prec@5 57.812 (64.521) Epoch: [9][2940/5809] Time 0.169 (1.316) Data 0.110 (1.247) Loss 2.6852 (2.7310) Prec@1 33.594 (34.315) Prec@5 64.453 (64.516) Epoch: [9][2950/5809] Time 2.023 (1.315) Data 1.963 (1.246) Loss 2.8017 (2.7307) Prec@1 32.031 (34.321) Prec@5 63.281 (64.522) Epoch: [9][2960/5809] Time 0.305 (1.313) Data 0.243 (1.243) Loss 2.8608 (2.7309) Prec@1 30.078 (34.316) Prec@5 61.719 (64.515) Epoch: [9][2970/5809] Time 3.534 (1.313) Data 3.476 (1.243) Loss 2.6186 (2.7308) Prec@1 36.719 (34.315) Prec@5 67.578 (64.519) Epoch: [9][2980/5809] Time 0.456 (1.312) Data 0.398 (1.242) Loss 2.7790 (2.7309) Prec@1 29.688 (34.313) Prec@5 66.406 (64.518) Epoch: [9][2990/5809] Time 1.552 (1.311) Data 1.492 (1.242) Loss 2.5957 (2.7307) Prec@1 38.281 (34.315) Prec@5 67.188 (64.524) Epoch: [9][3000/5809] Time 0.490 (1.310) Data 0.424 (1.240) Loss 2.7047 (2.7307) Prec@1 36.328 (34.317) Prec@5 66.016 (64.526) Epoch: [9][3010/5809] Time 2.112 (1.309) Data 2.053 (1.240) Loss 2.6093 (2.7305) Prec@1 33.984 (34.319) Prec@5 69.141 (64.526) Epoch: [9][3020/5809] Time 0.133 (1.308) Data 0.001 (1.238) Loss 2.7918 (2.7306) Prec@1 33.203 (34.325) Prec@5 64.062 (64.528) Epoch: [9][3030/5809] Time 3.228 (1.308) Data 3.166 (1.238) Loss 2.7382 (2.7307) Prec@1 34.375 (34.319) Prec@5 64.844 (64.525) Epoch: [9][3040/5809] Time 0.133 (1.307) Data 0.001 (1.237) Loss 2.8698 (2.7307) Prec@1 32.422 (34.314) Prec@5 62.109 (64.525) Epoch: [9][3050/5809] Time 1.648 (1.306) Data 1.589 (1.237) Loss 2.6698 (2.7308) Prec@1 32.422 (34.309) Prec@5 63.281 (64.523) Epoch: [9][3060/5809] Time 1.058 (1.306) Data 0.999 (1.236) Loss 2.8452 (2.7309) Prec@1 30.859 (34.306) Prec@5 63.281 (64.524) Epoch: [9][3070/5809] Time 0.682 (1.305) Data 0.624 (1.235) Loss 2.6708 (2.7308) Prec@1 37.500 (34.313) Prec@5 64.844 (64.528) Epoch: [9][3080/5809] Time 0.890 (1.304) Data 0.832 (1.234) Loss 2.5095 (2.7308) Prec@1 37.109 (34.315) Prec@5 65.625 (64.525) Epoch: [9][3090/5809] Time 0.599 (1.303) Data 0.540 (1.233) Loss 2.5035 (2.7304) Prec@1 37.891 (34.319) Prec@5 67.188 (64.530) Epoch: [9][3100/5809] Time 0.811 (1.302) Data 0.750 (1.232) Loss 2.5815 (2.7303) Prec@1 37.891 (34.319) Prec@5 68.359 (64.532) Epoch: [9][3110/5809] Time 0.380 (1.300) Data 0.322 (1.231) Loss 2.6833 (2.7302) Prec@1 37.109 (34.322) Prec@5 64.453 (64.535) Epoch: [9][3120/5809] Time 0.501 (1.299) Data 0.443 (1.229) Loss 2.7613 (2.7301) Prec@1 36.719 (34.329) Prec@5 64.844 (64.535) Epoch: [9][3130/5809] Time 0.263 (1.298) Data 0.205 (1.228) Loss 2.7831 (2.7304) Prec@1 34.375 (34.323) Prec@5 66.406 (64.529) Epoch: [9][3140/5809] Time 0.455 (1.296) Data 0.396 (1.226) Loss 2.5554 (2.7304) Prec@1 38.672 (34.321) Prec@5 70.703 (64.526) Epoch: [9][3150/5809] Time 0.290 (1.296) Data 0.230 (1.226) Loss 2.7778 (2.7305) Prec@1 34.766 (34.319) Prec@5 64.062 (64.525) Epoch: [9][3160/5809] Time 0.781 (1.294) Data 0.718 (1.224) Loss 2.6445 (2.7305) Prec@1 37.500 (34.321) Prec@5 67.969 (64.528) Epoch: [9][3170/5809] Time 0.232 (1.293) Data 0.174 (1.223) Loss 2.7077 (2.7302) Prec@1 34.766 (34.328) Prec@5 66.797 (64.537) Epoch: [9][3180/5809] Time 0.507 (1.291) Data 0.449 (1.221) Loss 2.7777 (2.7300) Prec@1 34.375 (34.332) Prec@5 63.672 (64.540) Epoch: [9][3190/5809] Time 0.281 (1.289) Data 0.217 (1.219) Loss 2.6414 (2.7301) Prec@1 38.281 (34.335) Prec@5 66.797 (64.538) Epoch: [9][3200/5809] Time 0.252 (1.287) Data 0.193 (1.217) Loss 2.7209 (2.7302) Prec@1 36.719 (34.337) Prec@5 67.578 (64.535) Epoch: [9][3210/5809] Time 0.366 (1.286) Data 0.299 (1.216) Loss 2.5449 (2.7299) Prec@1 37.891 (34.344) Prec@5 66.016 (64.540) Epoch: [9][3220/5809] Time 0.134 (1.284) Data 0.001 (1.214) Loss 2.6751 (2.7298) Prec@1 33.203 (34.345) Prec@5 64.844 (64.545) Epoch: [9][3230/5809] Time 0.257 (1.282) Data 0.191 (1.213) Loss 2.4469 (2.7299) Prec@1 37.500 (34.347) Prec@5 71.094 (64.542) Epoch: [9][3240/5809] Time 0.133 (1.280) Data 0.001 (1.210) Loss 2.7614 (2.7299) Prec@1 35.547 (34.345) Prec@5 62.500 (64.539) Epoch: [9][3250/5809] Time 0.314 (1.279) Data 0.254 (1.209) Loss 2.6940 (2.7299) Prec@1 36.719 (34.344) Prec@5 65.234 (64.539) Epoch: [9][3260/5809] Time 0.134 (1.276) Data 0.001 (1.206) Loss 2.6716 (2.7299) Prec@1 38.281 (34.346) Prec@5 64.453 (64.541) Epoch: [9][3270/5809] Time 0.133 (1.274) Data 0.001 (1.204) Loss 2.4751 (2.7299) Prec@1 37.500 (34.349) Prec@5 68.750 (64.540) Epoch: [9][3280/5809] Time 0.133 (1.272) Data 0.052 (1.202) Loss 2.9165 (2.7301) Prec@1 30.469 (34.345) Prec@5 58.984 (64.534) Epoch: [9][3290/5809] Time 0.133 (1.270) Data 0.001 (1.200) Loss 2.7273 (2.7301) Prec@1 33.984 (34.341) Prec@5 64.453 (64.530) Epoch: [9][3300/5809] Time 0.133 (1.268) Data 0.001 (1.197) Loss 2.6933 (2.7301) Prec@1 35.156 (34.347) Prec@5 64.062 (64.528) Epoch: [9][3310/5809] Time 0.429 (1.266) Data 0.362 (1.196) Loss 2.8975 (2.7302) Prec@1 29.297 (34.343) Prec@5 62.109 (64.526) Epoch: [9][3320/5809] Time 0.134 (1.264) Data 0.001 (1.193) Loss 2.6831 (2.7300) Prec@1 34.375 (34.346) Prec@5 67.578 (64.528) Epoch: [9][3330/5809] Time 0.498 (1.262) Data 0.439 (1.192) Loss 2.6581 (2.7300) Prec@1 35.547 (34.349) Prec@5 67.188 (64.529) Epoch: [9][3340/5809] Time 0.284 (1.260) Data 0.226 (1.189) Loss 2.6396 (2.7300) Prec@1 38.281 (34.349) Prec@5 66.406 (64.528) Epoch: [9][3350/5809] Time 0.290 (1.258) Data 0.230 (1.187) Loss 2.8429 (2.7300) Prec@1 32.031 (34.348) Prec@5 60.938 (64.529) Epoch: [9][3360/5809] Time 1.073 (1.256) Data 1.015 (1.185) Loss 2.6858 (2.7302) Prec@1 37.500 (34.347) Prec@5 69.531 (64.529) Epoch: [9][3370/5809] Time 0.134 (1.254) Data 0.001 (1.183) Loss 3.0551 (2.7302) Prec@1 35.156 (34.352) Prec@5 56.250 (64.529) Epoch: [9][3380/5809] Time 1.130 (1.252) Data 1.072 (1.181) Loss 2.7186 (2.7299) Prec@1 34.375 (34.357) Prec@5 62.891 (64.534) Epoch: [9][3390/5809] Time 0.130 (1.250) Data 0.001 (1.179) Loss 2.6192 (2.7298) Prec@1 40.625 (34.358) Prec@5 66.016 (64.537) Epoch: [9][3400/5809] Time 2.649 (1.249) Data 2.583 (1.178) Loss 2.7802 (2.7297) Prec@1 29.688 (34.359) Prec@5 64.062 (64.539) Epoch: [9][3410/5809] Time 0.132 (1.247) Data 0.051 (1.176) Loss 2.7656 (2.7296) Prec@1 32.812 (34.361) Prec@5 64.062 (64.541) Epoch: [9][3420/5809] Time 2.576 (1.246) Data 2.509 (1.175) Loss 2.8194 (2.7296) Prec@1 30.859 (34.360) Prec@5 61.719 (64.543) Epoch: [9][3430/5809] Time 0.295 (1.244) Data 0.227 (1.173) Loss 2.5838 (2.7294) Prec@1 35.938 (34.366) Prec@5 65.234 (64.547) Epoch: [9][3440/5809] Time 2.020 (1.243) Data 1.961 (1.172) Loss 2.6510 (2.7295) Prec@1 35.938 (34.368) Prec@5 65.625 (64.547) Epoch: [9][3450/5809] Time 0.133 (1.241) Data 0.048 (1.170) Loss 2.7027 (2.7295) Prec@1 31.641 (34.366) Prec@5 67.969 (64.548) Epoch: [9][3460/5809] Time 2.008 (1.239) Data 1.950 (1.168) Loss 2.6668 (2.7295) Prec@1 35.156 (34.364) Prec@5 64.453 (64.550) Epoch: [9][3470/5809] Time 0.133 (1.237) Data 0.001 (1.166) Loss 2.6630 (2.7296) Prec@1 32.812 (34.359) Prec@5 67.188 (64.550) Epoch: [9][3480/5809] Time 1.341 (1.236) Data 1.282 (1.164) Loss 2.7889 (2.7297) Prec@1 33.984 (34.355) Prec@5 63.281 (64.548) Epoch: [9][3490/5809] Time 0.133 (1.233) Data 0.001 (1.162) Loss 2.7579 (2.7298) Prec@1 37.500 (34.354) Prec@5 63.672 (64.546) Epoch: [9][3500/5809] Time 1.005 (1.232) Data 0.942 (1.161) Loss 2.7432 (2.7298) Prec@1 33.594 (34.355) Prec@5 66.016 (64.547) Epoch: [9][3510/5809] Time 0.729 (1.231) Data 0.670 (1.160) Loss 2.6287 (2.7299) Prec@1 31.250 (34.353) Prec@5 64.844 (64.547) Epoch: [9][3520/5809] Time 0.132 (1.230) Data 0.045 (1.159) Loss 2.7532 (2.7299) Prec@1 32.812 (34.354) Prec@5 60.156 (64.546) Epoch: [9][3530/5809] Time 0.466 (1.229) Data 0.408 (1.157) Loss 2.6794 (2.7300) Prec@1 36.328 (34.356) Prec@5 65.234 (64.543) Epoch: [9][3540/5809] Time 0.430 (1.227) Data 0.367 (1.156) Loss 2.7553 (2.7301) Prec@1 34.375 (34.353) Prec@5 64.844 (64.540) Epoch: [9][3550/5809] Time 0.132 (1.226) Data 0.061 (1.154) Loss 2.6794 (2.7302) Prec@1 37.500 (34.350) Prec@5 67.188 (64.538) Epoch: [9][3560/5809] Time 0.134 (1.224) Data 0.001 (1.153) Loss 2.6257 (2.7302) Prec@1 37.891 (34.350) Prec@5 61.328 (64.538) Epoch: [9][3570/5809] Time 0.133 (1.222) Data 0.001 (1.151) Loss 2.7479 (2.7301) Prec@1 35.156 (34.353) Prec@5 65.234 (64.540) Epoch: [9][3580/5809] Time 0.145 (1.221) Data 0.086 (1.149) Loss 2.6931 (2.7298) Prec@1 35.938 (34.362) Prec@5 64.844 (64.544) Epoch: [9][3590/5809] Time 0.271 (1.219) Data 0.212 (1.147) Loss 2.7492 (2.7298) Prec@1 34.766 (34.361) Prec@5 63.281 (64.541) Epoch: [9][3600/5809] Time 0.229 (1.217) Data 0.170 (1.145) Loss 2.5758 (2.7299) Prec@1 41.016 (34.362) Prec@5 67.578 (64.540) Epoch: [9][3610/5809] Time 0.133 (1.216) Data 0.058 (1.145) Loss 2.5036 (2.7297) Prec@1 36.719 (34.367) Prec@5 71.484 (64.543) Epoch: [9][3620/5809] Time 0.131 (1.215) Data 0.048 (1.144) Loss 2.6271 (2.7296) Prec@1 36.719 (34.367) Prec@5 65.625 (64.544) Epoch: [9][3630/5809] Time 0.133 (1.214) Data 0.001 (1.142) Loss 2.8743 (2.7296) Prec@1 32.422 (34.369) Prec@5 61.328 (64.544) Epoch: [9][3640/5809] Time 0.440 (1.212) Data 0.381 (1.141) Loss 2.7379 (2.7296) Prec@1 36.328 (34.370) Prec@5 62.891 (64.544) Epoch: [9][3650/5809] Time 0.352 (1.211) Data 0.291 (1.139) Loss 2.6263 (2.7296) Prec@1 32.812 (34.368) Prec@5 65.625 (64.542) Epoch: [9][3660/5809] Time 0.765 (1.210) Data 0.699 (1.138) Loss 2.7700 (2.7296) Prec@1 30.078 (34.369) Prec@5 64.453 (64.542) Epoch: [9][3670/5809] Time 0.744 (1.208) Data 0.681 (1.137) Loss 2.6703 (2.7296) Prec@1 36.719 (34.370) Prec@5 66.016 (64.543) Epoch: [9][3680/5809] Time 0.660 (1.206) Data 0.600 (1.135) Loss 2.9032 (2.7297) Prec@1 31.641 (34.369) Prec@5 60.156 (64.540) Epoch: [9][3690/5809] Time 0.134 (1.204) Data 0.001 (1.133) Loss 2.7720 (2.7298) Prec@1 32.812 (34.364) Prec@5 62.500 (64.535) Epoch: [9][3700/5809] Time 0.955 (1.203) Data 0.896 (1.131) Loss 2.7181 (2.7298) Prec@1 32.422 (34.362) Prec@5 68.359 (64.537) Epoch: [9][3710/5809] Time 0.133 (1.201) Data 0.001 (1.130) Loss 2.6305 (2.7297) Prec@1 37.109 (34.367) Prec@5 65.625 (64.538) Epoch: [9][3720/5809] Time 0.749 (1.199) Data 0.691 (1.128) Loss 2.6424 (2.7297) Prec@1 35.547 (34.365) Prec@5 65.234 (64.537) Epoch: [9][3730/5809] Time 0.249 (1.197) Data 0.190 (1.126) Loss 2.9254 (2.7299) Prec@1 29.297 (34.362) Prec@5 62.891 (64.534) Epoch: [9][3740/5809] Time 0.869 (1.195) Data 0.807 (1.124) Loss 2.7439 (2.7299) Prec@1 31.641 (34.358) Prec@5 64.844 (64.532) Epoch: [9][3750/5809] Time 0.133 (1.193) Data 0.050 (1.122) Loss 2.9455 (2.7298) Prec@1 31.641 (34.361) Prec@5 61.328 (64.537) Epoch: [9][3760/5809] Time 0.704 (1.192) Data 0.645 (1.120) Loss 2.6775 (2.7298) Prec@1 36.719 (34.362) Prec@5 65.234 (64.540) Epoch: [9][3770/5809] Time 0.311 (1.190) Data 0.252 (1.118) Loss 2.6175 (2.7298) Prec@1 35.938 (34.362) Prec@5 66.016 (64.539) Epoch: [9][3780/5809] Time 0.192 (1.188) Data 0.132 (1.116) Loss 2.7624 (2.7298) Prec@1 34.766 (34.361) Prec@5 63.281 (64.540) Epoch: [9][3790/5809] Time 0.440 (1.186) Data 0.382 (1.114) Loss 2.7216 (2.7298) Prec@1 33.594 (34.356) Prec@5 61.719 (64.539) Epoch: [9][3800/5809] Time 0.133 (1.184) Data 0.059 (1.112) Loss 2.7457 (2.7298) Prec@1 33.594 (34.357) Prec@5 63.672 (64.536) Epoch: [9][3810/5809] Time 0.507 (1.182) Data 0.447 (1.111) Loss 2.4811 (2.7298) Prec@1 38.672 (34.359) Prec@5 68.359 (64.537) Epoch: [9][3820/5809] Time 0.126 (1.180) Data 0.051 (1.109) Loss 2.6050 (2.7298) Prec@1 37.891 (34.359) Prec@5 67.188 (64.537) Epoch: [9][3830/5809] Time 0.496 (1.178) Data 0.437 (1.107) Loss 2.7164 (2.7298) Prec@1 31.250 (34.357) Prec@5 66.016 (64.534) Epoch: [9][3840/5809] Time 0.212 (1.176) Data 0.154 (1.105) Loss 2.6351 (2.7297) Prec@1 35.938 (34.362) Prec@5 66.016 (64.537) Epoch: [9][3850/5809] Time 0.826 (1.174) Data 0.758 (1.103) Loss 2.9370 (2.7297) Prec@1 34.375 (34.364) Prec@5 62.109 (64.536) Epoch: [9][3860/5809] Time 0.135 (1.172) Data 0.048 (1.101) Loss 2.6793 (2.7298) Prec@1 38.672 (34.366) Prec@5 64.062 (64.533) Epoch: [9][3870/5809] Time 1.193 (1.170) Data 1.129 (1.099) Loss 2.6981 (2.7298) Prec@1 36.328 (34.363) Prec@5 67.188 (64.534) Epoch: [9][3880/5809] Time 0.136 (1.168) Data 0.076 (1.097) Loss 2.5858 (2.7297) Prec@1 35.547 (34.364) Prec@5 67.969 (64.536) Epoch: [9][3890/5809] Time 1.211 (1.166) Data 1.145 (1.095) Loss 2.7182 (2.7297) Prec@1 37.891 (34.363) Prec@5 62.891 (64.539) Epoch: [9][3900/5809] Time 0.155 (1.164) Data 0.085 (1.093) Loss 2.7546 (2.7297) Prec@1 35.156 (34.361) Prec@5 62.891 (64.540) Epoch: [9][3910/5809] Time 1.013 (1.162) Data 0.953 (1.091) Loss 2.8179 (2.7296) Prec@1 36.328 (34.363) Prec@5 62.109 (64.543) Epoch: [9][3920/5809] Time 0.126 (1.160) Data 0.047 (1.089) Loss 2.9274 (2.7298) Prec@1 30.078 (34.360) Prec@5 60.547 (64.537) Epoch: [9][3930/5809] Time 1.155 (1.159) Data 1.096 (1.087) Loss 2.7072 (2.7297) Prec@1 35.156 (34.365) Prec@5 70.312 (64.539) Epoch: [9][3940/5809] Time 0.137 (1.157) Data 0.076 (1.085) Loss 2.8653 (2.7296) Prec@1 32.812 (34.363) Prec@5 60.547 (64.539) Epoch: [9][3950/5809] Time 1.157 (1.155) Data 1.092 (1.083) Loss 2.8280 (2.7297) Prec@1 31.250 (34.360) Prec@5 64.453 (64.537) Epoch: [9][3960/5809] Time 0.246 (1.153) Data 0.182 (1.081) Loss 2.6297 (2.7298) Prec@1 37.500 (34.361) Prec@5 66.016 (64.536) Epoch: [9][3970/5809] Time 1.340 (1.151) Data 1.280 (1.080) Loss 2.7915 (2.7298) Prec@1 33.984 (34.360) Prec@5 64.062 (64.538) Epoch: [9][3980/5809] Time 0.131 (1.149) Data 0.001 (1.078) Loss 2.7462 (2.7297) Prec@1 33.203 (34.358) Prec@5 65.625 (64.540) Epoch: [9][3990/5809] Time 1.214 (1.147) Data 1.151 (1.076) Loss 2.7818 (2.7298) Prec@1 35.547 (34.358) Prec@5 63.281 (64.537) Epoch: [9][4000/5809] Time 0.169 (1.145) Data 0.109 (1.074) Loss 2.6654 (2.7297) Prec@1 36.719 (34.356) Prec@5 66.406 (64.538) Epoch: [9][4010/5809] Time 1.140 (1.144) Data 1.078 (1.072) Loss 2.8015 (2.7298) Prec@1 35.938 (34.357) Prec@5 62.500 (64.534) Epoch: [9][4020/5809] Time 0.133 (1.142) Data 0.050 (1.070) Loss 2.5971 (2.7296) Prec@1 37.891 (34.362) Prec@5 69.922 (64.542) Epoch: [9][4030/5809] Time 1.210 (1.140) Data 1.152 (1.068) Loss 2.8784 (2.7298) Prec@1 33.984 (34.357) Prec@5 62.109 (64.537) Epoch: [9][4040/5809] Time 0.133 (1.138) Data 0.050 (1.066) Loss 2.8574 (2.7296) Prec@1 35.938 (34.361) Prec@5 59.766 (64.540) Epoch: [9][4050/5809] Time 1.278 (1.136) Data 1.220 (1.064) Loss 2.8384 (2.7297) Prec@1 31.250 (34.359) Prec@5 61.719 (64.536) Epoch: [9][4060/5809] Time 0.139 (1.134) Data 0.001 (1.062) Loss 2.6162 (2.7297) Prec@1 35.547 (34.360) Prec@5 67.188 (64.536) Epoch: [9][4070/5809] Time 1.166 (1.133) Data 1.098 (1.061) Loss 2.5870 (2.7297) Prec@1 34.766 (34.357) Prec@5 66.797 (64.535) Epoch: [9][4080/5809] Time 0.134 (1.131) Data 0.001 (1.059) Loss 2.5831 (2.7296) Prec@1 33.594 (34.357) Prec@5 64.062 (64.537) Epoch: [9][4090/5809] Time 1.356 (1.129) Data 1.297 (1.057) Loss 2.6766 (2.7295) Prec@1 34.766 (34.357) Prec@5 64.062 (64.535) Epoch: [9][4100/5809] Time 0.141 (1.127) Data 0.001 (1.055) Loss 2.6510 (2.7295) Prec@1 34.375 (34.357) Prec@5 67.969 (64.534) Epoch: [9][4110/5809] Time 1.050 (1.126) Data 0.991 (1.053) Loss 2.7754 (2.7296) Prec@1 35.547 (34.353) Prec@5 62.891 (64.530) Epoch: [9][4120/5809] Time 0.142 (1.124) Data 0.047 (1.051) Loss 2.6056 (2.7296) Prec@1 39.062 (34.353) Prec@5 68.750 (64.529) Epoch: [9][4130/5809] Time 0.874 (1.122) Data 0.813 (1.050) Loss 2.8539 (2.7296) Prec@1 33.594 (34.354) Prec@5 64.844 (64.532) Epoch: [9][4140/5809] Time 0.147 (1.120) Data 0.088 (1.048) Loss 2.9147 (2.7296) Prec@1 29.688 (34.352) Prec@5 62.109 (64.530) Epoch: [9][4150/5809] Time 1.170 (1.119) Data 1.111 (1.046) Loss 2.6195 (2.7296) Prec@1 32.812 (34.350) Prec@5 65.625 (64.532) Epoch: [9][4160/5809] Time 0.140 (1.117) Data 0.052 (1.044) Loss 2.5277 (2.7296) Prec@1 38.672 (34.351) Prec@5 68.750 (64.533) Epoch: [9][4170/5809] Time 1.316 (1.115) Data 1.252 (1.043) Loss 2.6005 (2.7296) Prec@1 35.547 (34.351) Prec@5 64.453 (64.532) Epoch: [9][4180/5809] Time 0.140 (1.113) Data 0.001 (1.041) Loss 2.7252 (2.7296) Prec@1 37.109 (34.354) Prec@5 64.453 (64.533) Epoch: [9][4190/5809] Time 1.084 (1.112) Data 1.025 (1.039) Loss 2.8153 (2.7299) Prec@1 30.859 (34.350) Prec@5 64.062 (64.529) Epoch: [9][4200/5809] Time 0.141 (1.110) Data 0.001 (1.037) Loss 2.7376 (2.7298) Prec@1 30.078 (34.347) Prec@5 63.281 (64.528) Epoch: [9][4210/5809] Time 1.212 (1.109) Data 1.150 (1.036) Loss 2.8030 (2.7299) Prec@1 35.156 (34.345) Prec@5 58.594 (64.528) Epoch: [9][4220/5809] Time 0.132 (1.107) Data 0.045 (1.034) Loss 2.6377 (2.7299) Prec@1 32.812 (34.340) Prec@5 65.625 (64.527) Epoch: [9][4230/5809] Time 0.928 (1.105) Data 0.860 (1.032) Loss 2.7941 (2.7299) Prec@1 34.375 (34.341) Prec@5 63.672 (64.526) Epoch: [9][4240/5809] Time 0.135 (1.103) Data 0.001 (1.030) Loss 2.5958 (2.7298) Prec@1 36.719 (34.343) Prec@5 64.062 (64.529) Epoch: [9][4250/5809] Time 0.799 (1.102) Data 0.738 (1.029) Loss 2.9028 (2.7298) Prec@1 29.688 (34.343) Prec@5 58.203 (64.529) Epoch: [9][4260/5809] Time 0.300 (1.100) Data 0.241 (1.027) Loss 2.9170 (2.7298) Prec@1 33.203 (34.343) Prec@5 62.500 (64.528) Epoch: [9][4270/5809] Time 0.768 (1.098) Data 0.702 (1.025) Loss 2.9082 (2.7299) Prec@1 33.203 (34.340) Prec@5 62.109 (64.527) Epoch: [9][4280/5809] Time 0.305 (1.097) Data 0.245 (1.024) Loss 2.6881 (2.7299) Prec@1 34.766 (34.339) Prec@5 63.672 (64.528) Epoch: [9][4290/5809] Time 0.465 (1.095) Data 0.402 (1.022) Loss 2.6393 (2.7300) Prec@1 33.203 (34.338) Prec@5 62.109 (64.524) Epoch: [9][4300/5809] Time 0.655 (1.094) Data 0.597 (1.021) Loss 2.7012 (2.7300) Prec@1 33.984 (34.333) Prec@5 66.797 (64.524) Epoch: [9][4310/5809] Time 0.236 (1.092) Data 0.171 (1.019) Loss 2.6751 (2.7299) Prec@1 35.547 (34.335) Prec@5 67.188 (64.526) Epoch: [9][4320/5809] Time 0.741 (1.090) Data 0.681 (1.017) Loss 2.9768 (2.7300) Prec@1 28.125 (34.335) Prec@5 61.719 (64.526) Epoch: [9][4330/5809] Time 0.133 (1.089) Data 0.001 (1.016) Loss 2.5793 (2.7300) Prec@1 37.891 (34.335) Prec@5 64.453 (64.525) Epoch: [9][4340/5809] Time 1.040 (1.087) Data 0.976 (1.014) Loss 2.7978 (2.7301) Prec@1 32.812 (34.332) Prec@5 64.844 (64.526) Epoch: [9][4350/5809] Time 0.134 (1.086) Data 0.001 (1.013) Loss 2.7079 (2.7301) Prec@1 32.422 (34.331) Prec@5 67.188 (64.525) Epoch: [9][4360/5809] Time 0.681 (1.084) Data 0.614 (1.011) Loss 2.7834 (2.7301) Prec@1 32.422 (34.330) Prec@5 65.234 (64.524) Epoch: [9][4370/5809] Time 0.133 (1.082) Data 0.001 (1.009) Loss 2.8555 (2.7303) Prec@1 29.688 (34.329) Prec@5 65.625 (64.520) Epoch: [9][4380/5809] Time 2.445 (1.081) Data 2.386 (1.008) Loss 2.6777 (2.7303) Prec@1 33.984 (34.327) Prec@5 67.578 (64.520) Epoch: [9][4390/5809] Time 0.133 (1.081) Data 0.001 (1.008) Loss 2.6415 (2.7303) Prec@1 37.109 (34.327) Prec@5 65.625 (64.521) Epoch: [9][4400/5809] Time 1.634 (1.080) Data 1.575 (1.007) Loss 2.8416 (2.7303) Prec@1 28.906 (34.327) Prec@5 62.891 (64.522) Epoch: [9][4410/5809] Time 0.612 (1.079) Data 0.553 (1.006) Loss 2.6787 (2.7302) Prec@1 33.594 (34.326) Prec@5 65.625 (64.521) Epoch: [9][4420/5809] Time 1.861 (1.079) Data 1.798 (1.006) Loss 2.6442 (2.7302) Prec@1 35.156 (34.328) Prec@5 63.672 (64.524) Epoch: [9][4430/5809] Time 0.470 (1.078) Data 0.410 (1.005) Loss 2.9292 (2.7301) Prec@1 30.469 (34.331) Prec@5 59.766 (64.525) Epoch: [9][4440/5809] Time 1.463 (1.077) Data 1.398 (1.004) Loss 2.8663 (2.7303) Prec@1 33.203 (34.331) Prec@5 62.500 (64.523) Epoch: [9][4450/5809] Time 0.264 (1.076) Data 0.205 (1.003) Loss 2.8435 (2.7303) Prec@1 30.078 (34.330) Prec@5 57.812 (64.522) Epoch: [9][4460/5809] Time 1.023 (1.075) Data 0.963 (1.002) Loss 2.5253 (2.7302) Prec@1 41.406 (34.334) Prec@5 64.062 (64.521) Epoch: [9][4470/5809] Time 0.280 (1.073) Data 0.221 (1.000) Loss 2.7780 (2.7303) Prec@1 34.375 (34.335) Prec@5 65.234 (64.518) Epoch: [9][4480/5809] Time 0.895 (1.072) Data 0.835 (0.999) Loss 2.7459 (2.7302) Prec@1 33.594 (34.338) Prec@5 65.234 (64.521) Epoch: [9][4490/5809] Time 0.359 (1.071) Data 0.298 (0.998) Loss 2.8760 (2.7302) Prec@1 30.469 (34.337) Prec@5 63.281 (64.522) Epoch: [9][4500/5809] Time 0.734 (1.070) Data 0.670 (0.997) Loss 2.8244 (2.7303) Prec@1 32.422 (34.334) Prec@5 64.062 (64.521) Epoch: [9][4510/5809] Time 0.557 (1.068) Data 0.498 (0.995) Loss 2.9122 (2.7303) Prec@1 31.641 (34.335) Prec@5 62.109 (64.523) Epoch: [9][4520/5809] Time 0.428 (1.067) Data 0.369 (0.994) Loss 2.7833 (2.7304) Prec@1 31.250 (34.331) Prec@5 60.156 (64.521) Epoch: [9][4530/5809] Time 1.075 (1.066) Data 1.014 (0.993) Loss 2.7684 (2.7304) Prec@1 31.250 (34.331) Prec@5 66.797 (64.524) Epoch: [9][4540/5809] Time 0.576 (1.065) Data 0.517 (0.992) Loss 2.9102 (2.7303) Prec@1 31.250 (34.333) Prec@5 59.375 (64.523) Epoch: [9][4550/5809] Time 0.861 (1.063) Data 0.800 (0.990) Loss 2.8074 (2.7303) Prec@1 32.812 (34.334) Prec@5 64.062 (64.523) Epoch: [9][4560/5809] Time 0.496 (1.062) Data 0.437 (0.989) Loss 2.6458 (2.7303) Prec@1 37.500 (34.331) Prec@5 66.797 (64.522) Epoch: [9][4570/5809] Time 0.792 (1.060) Data 0.734 (0.988) Loss 3.0279 (2.7303) Prec@1 30.859 (34.331) Prec@5 59.766 (64.522) Epoch: [9][4580/5809] Time 0.492 (1.059) Data 0.433 (0.986) Loss 2.8069 (2.7304) Prec@1 32.812 (34.333) Prec@5 62.891 (64.523) Epoch: [9][4590/5809] Time 0.800 (1.058) Data 0.734 (0.985) Loss 2.7917 (2.7304) Prec@1 31.641 (34.333) Prec@5 64.453 (64.521) Epoch: [9][4600/5809] Time 0.475 (1.056) Data 0.416 (0.984) Loss 2.6791 (2.7304) Prec@1 29.297 (34.331) Prec@5 62.500 (64.521) Epoch: [9][4610/5809] Time 0.909 (1.055) Data 0.846 (0.982) Loss 2.8157 (2.7303) Prec@1 31.641 (34.332) Prec@5 60.547 (64.522) Epoch: [9][4620/5809] Time 0.410 (1.054) Data 0.351 (0.981) Loss 2.6824 (2.7303) Prec@1 32.812 (34.330) Prec@5 62.891 (64.523) Epoch: [9][4630/5809] Time 0.606 (1.052) Data 0.547 (0.979) Loss 2.7414 (2.7302) Prec@1 34.375 (34.329) Prec@5 62.500 (64.522) Epoch: [9][4640/5809] Time 0.133 (1.051) Data 0.001 (0.978) Loss 2.8479 (2.7303) Prec@1 34.766 (34.330) Prec@5 60.938 (64.518) Epoch: [9][4650/5809] Time 0.622 (1.050) Data 0.563 (0.977) Loss 2.5964 (2.7303) Prec@1 36.719 (34.327) Prec@5 66.406 (64.518) Epoch: [9][4660/5809] Time 0.132 (1.048) Data 0.001 (0.975) Loss 2.9010 (2.7304) Prec@1 31.641 (34.325) Prec@5 61.719 (64.517) Epoch: [9][4670/5809] Time 0.501 (1.047) Data 0.442 (0.974) Loss 2.7903 (2.7303) Prec@1 35.938 (34.328) Prec@5 64.453 (64.520) Epoch: [9][4680/5809] Time 0.128 (1.045) Data 0.049 (0.972) Loss 2.6971 (2.7303) Prec@1 34.375 (34.327) Prec@5 61.719 (64.520) Epoch: [9][4690/5809] Time 0.510 (1.044) Data 0.448 (0.971) Loss 2.5305 (2.7303) Prec@1 38.672 (34.328) Prec@5 67.969 (64.521) Epoch: [9][4700/5809] Time 0.132 (1.043) Data 0.001 (0.970) Loss 2.7563 (2.7301) Prec@1 29.688 (34.329) Prec@5 59.375 (64.528) Epoch: [9][4710/5809] Time 0.521 (1.041) Data 0.462 (0.968) Loss 2.7223 (2.7299) Prec@1 33.984 (34.329) Prec@5 66.016 (64.533) Epoch: [9][4720/5809] Time 0.152 (1.040) Data 0.092 (0.967) Loss 2.8615 (2.7301) Prec@1 30.078 (34.325) Prec@5 64.453 (64.529) Epoch: [9][4730/5809] Time 0.134 (1.039) Data 0.060 (0.966) Loss 2.5135 (2.7300) Prec@1 37.891 (34.329) Prec@5 67.969 (64.532) Epoch: [9][4740/5809] Time 0.137 (1.037) Data 0.077 (0.964) Loss 2.7734 (2.7300) Prec@1 38.281 (34.332) Prec@5 64.453 (64.530) Epoch: [9][4750/5809] Time 0.448 (1.036) Data 0.388 (0.963) Loss 2.9005 (2.7300) Prec@1 32.422 (34.335) Prec@5 60.156 (64.531) Epoch: [9][4760/5809] Time 0.133 (1.035) Data 0.001 (0.962) Loss 2.8829 (2.7300) Prec@1 32.812 (34.332) Prec@5 59.766 (64.529) Epoch: [9][4770/5809] Time 0.484 (1.033) Data 0.425 (0.961) Loss 2.6145 (2.7300) Prec@1 38.281 (34.334) Prec@5 67.578 (64.528) Epoch: [9][4780/5809] Time 0.206 (1.032) Data 0.145 (0.959) Loss 2.8776 (2.7301) Prec@1 33.984 (34.333) Prec@5 62.891 (64.524) Epoch: [9][4790/5809] Time 0.694 (1.031) Data 0.635 (0.958) Loss 2.6118 (2.7300) Prec@1 38.281 (34.335) Prec@5 62.500 (64.524) Epoch: [9][4800/5809] Time 0.134 (1.029) Data 0.001 (0.957) Loss 2.9509 (2.7300) Prec@1 28.906 (34.334) Prec@5 61.328 (64.526) Epoch: [9][4810/5809] Time 0.809 (1.028) Data 0.750 (0.955) Loss 2.6978 (2.7301) Prec@1 34.375 (34.334) Prec@5 66.797 (64.525) Epoch: [9][4820/5809] Time 0.134 (1.027) Data 0.001 (0.954) Loss 2.9960 (2.7300) Prec@1 30.859 (34.334) Prec@5 61.328 (64.525) Epoch: [9][4830/5809] Time 0.643 (1.025) Data 0.584 (0.953) Loss 2.9656 (2.7300) Prec@1 34.375 (34.336) Prec@5 61.719 (64.527) Epoch: [9][4840/5809] Time 0.132 (1.024) Data 0.001 (0.951) Loss 2.5459 (2.7299) Prec@1 36.719 (34.338) Prec@5 68.750 (64.527) Epoch: [9][4850/5809] Time 0.838 (1.023) Data 0.771 (0.950) Loss 2.7405 (2.7298) Prec@1 37.891 (34.338) Prec@5 65.625 (64.531) Epoch: [9][4860/5809] Time 0.133 (1.022) Data 0.069 (0.949) Loss 2.6613 (2.7298) Prec@1 38.281 (34.341) Prec@5 67.188 (64.532) Epoch: [9][4870/5809] Time 0.808 (1.020) Data 0.749 (0.948) Loss 2.6039 (2.7298) Prec@1 34.766 (34.338) Prec@5 64.453 (64.530) Epoch: [9][4880/5809] Time 0.238 (1.019) Data 0.180 (0.946) Loss 2.5549 (2.7299) Prec@1 41.797 (34.336) Prec@5 66.797 (64.528) Epoch: [9][4890/5809] Time 0.470 (1.018) Data 0.411 (0.945) Loss 2.4898 (2.7300) Prec@1 40.625 (34.335) Prec@5 71.875 (64.527) Epoch: [9][4900/5809] Time 0.157 (1.016) Data 0.098 (0.944) Loss 2.5480 (2.7298) Prec@1 34.375 (34.337) Prec@5 66.406 (64.530) Epoch: [9][4910/5809] Time 0.836 (1.015) Data 0.769 (0.942) Loss 2.8801 (2.7298) Prec@1 30.078 (34.337) Prec@5 62.109 (64.529) Epoch: [9][4920/5809] Time 0.310 (1.014) Data 0.250 (0.941) Loss 2.7873 (2.7298) Prec@1 31.250 (34.335) Prec@5 64.844 (64.530) Epoch: [9][4930/5809] Time 0.708 (1.013) Data 0.648 (0.940) Loss 2.8598 (2.7299) Prec@1 28.906 (34.334) Prec@5 60.547 (64.527) Epoch: [9][4940/5809] Time 0.133 (1.011) Data 0.001 (0.939) Loss 2.7785 (2.7299) Prec@1 33.984 (34.334) Prec@5 65.234 (64.530) Epoch: [9][4950/5809] Time 0.585 (1.010) Data 0.526 (0.937) Loss 2.7963 (2.7300) Prec@1 34.766 (34.332) Prec@5 65.234 (64.531) Epoch: [9][4960/5809] Time 0.225 (1.009) Data 0.164 (0.936) Loss 2.7585 (2.7300) Prec@1 33.984 (34.332) Prec@5 62.500 (64.530) Epoch: [9][4970/5809] Time 0.241 (1.008) Data 0.179 (0.935) Loss 2.6750 (2.7300) Prec@1 35.938 (34.329) Prec@5 65.625 (64.530) Epoch: [9][4980/5809] Time 0.272 (1.007) Data 0.214 (0.934) Loss 2.5091 (2.7300) Prec@1 40.234 (34.334) Prec@5 68.359 (64.531) Epoch: [9][4990/5809] Time 1.456 (1.006) Data 1.397 (0.933) Loss 2.9181 (2.7300) Prec@1 29.297 (34.333) Prec@5 62.500 (64.533) Epoch: [9][5000/5809] Time 0.984 (1.006) Data 0.917 (0.933) Loss 2.7341 (2.7301) Prec@1 35.156 (34.330) Prec@5 63.672 (64.532) Epoch: [9][5010/5809] Time 1.139 (1.005) Data 1.080 (0.932) Loss 2.6156 (2.7300) Prec@1 34.766 (34.333) Prec@5 64.844 (64.532) Epoch: [9][5020/5809] Time 0.462 (1.005) Data 0.403 (0.932) Loss 2.6492 (2.7300) Prec@1 35.938 (34.333) Prec@5 64.844 (64.532) Epoch: [9][5030/5809] Time 1.652 (1.004) Data 1.592 (0.932) Loss 2.9626 (2.7301) Prec@1 27.734 (34.335) Prec@5 60.156 (64.532) Epoch: [9][5040/5809] Time 0.132 (1.003) Data 0.050 (0.931) Loss 2.8216 (2.7301) Prec@1 33.203 (34.334) Prec@5 63.672 (64.532) Epoch: [9][5050/5809] Time 1.362 (1.003) Data 1.299 (0.930) Loss 2.7648 (2.7300) Prec@1 34.375 (34.336) Prec@5 61.328 (64.532) Epoch: [9][5060/5809] Time 0.132 (1.002) Data 0.046 (0.929) Loss 2.5469 (2.7299) Prec@1 37.500 (34.336) Prec@5 69.141 (64.534) Epoch: [9][5070/5809] Time 1.484 (1.001) Data 1.425 (0.928) Loss 2.7215 (2.7299) Prec@1 33.984 (34.335) Prec@5 64.453 (64.535) Epoch: [9][5080/5809] Time 0.141 (1.000) Data 0.001 (0.927) Loss 2.9081 (2.7299) Prec@1 30.078 (34.333) Prec@5 60.938 (64.533) Epoch: [9][5090/5809] Time 1.582 (0.999) Data 1.521 (0.927) Loss 2.6193 (2.7299) Prec@1 35.547 (34.333) Prec@5 63.281 (64.532) Epoch: [9][5100/5809] Time 0.125 (0.998) Data 0.055 (0.925) Loss 2.5544 (2.7298) Prec@1 35.938 (34.337) Prec@5 70.312 (64.533) Epoch: [9][5110/5809] Time 1.473 (0.997) Data 1.411 (0.925) Loss 2.8651 (2.7297) Prec@1 30.859 (34.338) Prec@5 59.375 (64.535) Epoch: [9][5120/5809] Time 0.157 (0.996) Data 0.099 (0.923) Loss 2.6851 (2.7297) Prec@1 39.844 (34.341) Prec@5 65.234 (64.535) Epoch: [9][5130/5809] Time 1.332 (0.995) Data 1.266 (0.922) Loss 2.8508 (2.7297) Prec@1 32.422 (34.341) Prec@5 61.719 (64.535) Epoch: [9][5140/5809] Time 0.126 (0.994) Data 0.055 (0.921) Loss 2.7713 (2.7297) Prec@1 35.547 (34.341) Prec@5 62.891 (64.536) Epoch: [9][5150/5809] Time 1.275 (0.993) Data 1.209 (0.920) Loss 3.0174 (2.7299) Prec@1 29.297 (34.340) Prec@5 59.766 (64.531) Epoch: [9][5160/5809] Time 0.133 (0.992) Data 0.057 (0.919) Loss 2.5462 (2.7296) Prec@1 37.109 (34.344) Prec@5 68.359 (64.534) Epoch: [9][5170/5809] Time 1.130 (0.991) Data 1.069 (0.918) Loss 2.7546 (2.7297) Prec@1 35.547 (34.343) Prec@5 64.453 (64.533) Epoch: [9][5180/5809] Time 0.134 (0.990) Data 0.001 (0.917) Loss 2.6853 (2.7296) Prec@1 33.594 (34.346) Prec@5 68.750 (64.534) Epoch: [9][5190/5809] Time 0.961 (0.989) Data 0.901 (0.916) Loss 2.4693 (2.7294) Prec@1 40.234 (34.348) Prec@5 70.312 (64.537) Epoch: [9][5200/5809] Time 0.169 (0.988) Data 0.101 (0.915) Loss 2.6932 (2.7293) Prec@1 35.938 (34.352) Prec@5 65.234 (64.541) Epoch: [9][5210/5809] Time 0.954 (0.987) Data 0.894 (0.914) Loss 2.8989 (2.7292) Prec@1 33.203 (34.356) Prec@5 62.891 (64.544) Epoch: [9][5220/5809] Time 0.272 (0.986) Data 0.214 (0.913) Loss 2.7238 (2.7292) Prec@1 33.203 (34.357) Prec@5 63.672 (64.544) Epoch: [9][5230/5809] Time 0.935 (0.985) Data 0.876 (0.911) Loss 2.8290 (2.7292) Prec@1 31.250 (34.355) Prec@5 62.891 (64.544) Epoch: [9][5240/5809] Time 0.142 (0.984) Data 0.001 (0.910) Loss 2.8795 (2.7293) Prec@1 30.078 (34.353) Prec@5 63.281 (64.542) Epoch: [9][5250/5809] Time 1.012 (0.982) Data 0.954 (0.909) Loss 2.8035 (2.7293) Prec@1 32.031 (34.356) Prec@5 61.328 (64.542) Epoch: [9][5260/5809] Time 0.151 (0.981) Data 0.084 (0.908) Loss 2.6743 (2.7293) Prec@1 33.203 (34.358) Prec@5 66.406 (64.541) Epoch: [9][5270/5809] Time 0.901 (0.980) Data 0.843 (0.907) Loss 2.8379 (2.7293) Prec@1 32.812 (34.361) Prec@5 61.328 (64.543) Epoch: [9][5280/5809] Time 0.282 (0.979) Data 0.223 (0.906) Loss 2.9129 (2.7294) Prec@1 31.250 (34.360) Prec@5 57.812 (64.540) Epoch: [9][5290/5809] Time 0.556 (0.978) Data 0.497 (0.905) Loss 2.7793 (2.7293) Prec@1 35.156 (34.364) Prec@5 62.109 (64.544) Epoch: [9][5300/5809] Time 0.144 (0.977) Data 0.085 (0.904) Loss 2.7948 (2.7295) Prec@1 32.031 (34.360) Prec@5 62.109 (64.540) Epoch: [9][5310/5809] Time 0.274 (0.976) Data 0.215 (0.903) Loss 2.8253 (2.7295) Prec@1 33.203 (34.357) Prec@5 65.234 (64.538) Epoch: [9][5320/5809] Time 0.133 (0.975) Data 0.001 (0.902) Loss 3.0623 (2.7296) Prec@1 25.781 (34.357) Prec@5 55.859 (64.535) Epoch: [9][5330/5809] Time 0.134 (0.974) Data 0.007 (0.901) Loss 2.6403 (2.7296) Prec@1 35.938 (34.358) Prec@5 66.406 (64.537) Epoch: [9][5340/5809] Time 0.132 (0.973) Data 0.047 (0.900) Loss 2.8791 (2.7297) Prec@1 32.422 (34.357) Prec@5 61.719 (64.535) Epoch: [9][5350/5809] Time 0.508 (0.972) Data 0.449 (0.899) Loss 2.6967 (2.7297) Prec@1 33.984 (34.355) Prec@5 63.281 (64.537) Epoch: [9][5360/5809] Time 0.134 (0.971) Data 0.049 (0.898) Loss 2.7037 (2.7297) Prec@1 35.156 (34.354) Prec@5 66.016 (64.537) Epoch: [9][5370/5809] Time 0.130 (0.970) Data 0.054 (0.897) Loss 2.7214 (2.7297) Prec@1 35.547 (34.353) Prec@5 64.062 (64.537) Epoch: [9][5380/5809] Time 0.133 (0.969) Data 0.001 (0.896) Loss 2.7444 (2.7297) Prec@1 32.422 (34.353) Prec@5 66.406 (64.534) Epoch: [9][5390/5809] Time 0.133 (0.968) Data 0.001 (0.895) Loss 2.8781 (2.7297) Prec@1 32.422 (34.354) Prec@5 63.672 (64.536) Epoch: [9][5400/5809] Time 0.413 (0.967) Data 0.353 (0.894) Loss 2.7688 (2.7297) Prec@1 34.375 (34.357) Prec@5 62.109 (64.535) Epoch: [9][5410/5809] Time 0.134 (0.966) Data 0.001 (0.893) Loss 2.9944 (2.7296) Prec@1 32.812 (34.358) Prec@5 58.594 (64.535) Epoch: [9][5420/5809] Time 0.127 (0.965) Data 0.050 (0.892) Loss 2.7374 (2.7296) Prec@1 34.766 (34.358) Prec@5 68.359 (64.537) Epoch: [9][5430/5809] Time 0.135 (0.964) Data 0.001 (0.891) Loss 2.6770 (2.7295) Prec@1 35.547 (34.356) Prec@5 64.844 (64.538) Epoch: [9][5440/5809] Time 0.133 (0.963) Data 0.051 (0.889) Loss 2.7320 (2.7295) Prec@1 33.594 (34.357) Prec@5 64.453 (64.538) Epoch: [9][5450/5809] Time 0.224 (0.962) Data 0.164 (0.889) Loss 2.6618 (2.7295) Prec@1 38.281 (34.358) Prec@5 66.797 (64.537) Epoch: [9][5460/5809] Time 0.134 (0.961) Data 0.001 (0.887) Loss 2.7046 (2.7295) Prec@1 33.594 (34.358) Prec@5 64.844 (64.536) Epoch: [9][5470/5809] Time 0.251 (0.960) Data 0.193 (0.886) Loss 2.8591 (2.7296) Prec@1 26.562 (34.355) Prec@5 62.500 (64.533) Epoch: [9][5480/5809] Time 0.133 (0.959) Data 0.001 (0.885) Loss 2.7048 (2.7296) Prec@1 35.938 (34.356) Prec@5 65.234 (64.533) Epoch: [9][5490/5809] Time 0.514 (0.958) Data 0.448 (0.884) Loss 2.7421 (2.7296) Prec@1 32.422 (34.353) Prec@5 66.016 (64.534) Epoch: [9][5500/5809] Time 0.125 (0.957) Data 0.047 (0.883) Loss 2.5559 (2.7297) Prec@1 37.891 (34.353) Prec@5 67.578 (64.531) Epoch: [9][5510/5809] Time 0.576 (0.956) Data 0.517 (0.882) Loss 2.8272 (2.7298) Prec@1 28.125 (34.353) Prec@5 65.234 (64.531) Epoch: [9][5520/5809] Time 0.125 (0.955) Data 0.055 (0.881) Loss 2.4946 (2.7298) Prec@1 36.719 (34.352) Prec@5 69.922 (64.530) Epoch: [9][5530/5809] Time 0.411 (0.954) Data 0.352 (0.881) Loss 2.6653 (2.7298) Prec@1 38.672 (34.354) Prec@5 64.453 (64.532) Epoch: [9][5540/5809] Time 0.455 (0.953) Data 0.395 (0.880) Loss 2.7728 (2.7298) Prec@1 30.078 (34.353) Prec@5 63.672 (64.532) Epoch: [9][5550/5809] Time 0.519 (0.952) Data 0.456 (0.879) Loss 2.7660 (2.7298) Prec@1 29.688 (34.353) Prec@5 64.453 (64.532) Epoch: [9][5560/5809] Time 0.661 (0.951) Data 0.603 (0.878) Loss 2.8040 (2.7299) Prec@1 34.375 (34.351) Prec@5 63.281 (64.530) Epoch: [9][5570/5809] Time 0.679 (0.950) Data 0.610 (0.877) Loss 2.5474 (2.7299) Prec@1 40.234 (34.354) Prec@5 67.188 (64.530) Epoch: [9][5580/5809] Time 1.006 (0.949) Data 0.946 (0.876) Loss 2.7019 (2.7300) Prec@1 34.375 (34.352) Prec@5 66.406 (64.529) Epoch: [9][5590/5809] Time 0.271 (0.948) Data 0.212 (0.875) Loss 2.6852 (2.7300) Prec@1 31.250 (34.348) Prec@5 67.188 (64.525) Epoch: [9][5600/5809] Time 0.710 (0.947) Data 0.643 (0.874) Loss 2.7843 (2.7300) Prec@1 31.641 (34.349) Prec@5 61.719 (64.526) Epoch: [9][5610/5809] Time 0.970 (0.946) Data 0.911 (0.873) Loss 2.7147 (2.7299) Prec@1 33.203 (34.351) Prec@5 62.891 (64.528) Epoch: [9][5620/5809] Time 1.176 (0.946) Data 1.117 (0.873) Loss 2.8700 (2.7300) Prec@1 29.688 (34.347) Prec@5 61.328 (64.526) Epoch: [9][5630/5809] Time 1.142 (0.946) Data 1.084 (0.873) Loss 2.6957 (2.7299) Prec@1 33.203 (34.348) Prec@5 63.281 (64.529) Epoch: [9][5640/5809] Time 0.133 (0.946) Data 0.001 (0.873) Loss 2.7479 (2.7298) Prec@1 32.422 (34.347) Prec@5 64.453 (64.531) Epoch: [9][5650/5809] Time 1.530 (0.945) Data 1.472 (0.872) Loss 3.0122 (2.7299) Prec@1 28.906 (34.345) Prec@5 60.938 (64.532) Epoch: [9][5660/5809] Time 0.209 (0.945) Data 0.149 (0.872) Loss 2.7997 (2.7299) Prec@1 34.375 (34.342) Prec@5 60.938 (64.532) Epoch: [9][5670/5809] Time 1.267 (0.944) Data 1.207 (0.871) Loss 2.5327 (2.7298) Prec@1 38.672 (34.345) Prec@5 71.094 (64.534) Epoch: [9][5680/5809] Time 0.274 (0.944) Data 0.215 (0.871) Loss 2.7959 (2.7298) Prec@1 33.594 (34.345) Prec@5 64.453 (64.535) Epoch: [9][5690/5809] Time 1.810 (0.943) Data 1.751 (0.870) Loss 2.6173 (2.7297) Prec@1 33.594 (34.345) Prec@5 66.016 (64.534) Epoch: [9][5700/5809] Time 0.134 (0.942) Data 0.062 (0.869) Loss 2.6434 (2.7295) Prec@1 35.156 (34.346) Prec@5 65.625 (64.537) Epoch: [9][5710/5809] Time 1.161 (0.942) Data 1.102 (0.869) Loss 2.6612 (2.7295) Prec@1 32.812 (34.345) Prec@5 63.672 (64.539) Epoch: [9][5720/5809] Time 0.133 (0.941) Data 0.070 (0.868) Loss 2.9559 (2.7296) Prec@1 30.469 (34.343) Prec@5 62.891 (64.540) Epoch: [9][5730/5809] Time 1.059 (0.940) Data 1.000 (0.867) Loss 2.6468 (2.7295) Prec@1 35.156 (34.345) Prec@5 69.531 (64.542) Epoch: [9][5740/5809] Time 0.555 (0.939) Data 0.496 (0.866) Loss 2.5820 (2.7295) Prec@1 37.891 (34.346) Prec@5 66.797 (64.543) Epoch: [9][5750/5809] Time 0.204 (0.939) Data 0.141 (0.866) Loss 2.7933 (2.7294) Prec@1 31.641 (34.346) Prec@5 58.984 (64.543) Epoch: [9][5760/5809] Time 0.501 (0.938) Data 0.438 (0.865) Loss 2.8541 (2.7295) Prec@1 32.422 (34.345) Prec@5 62.891 (64.540) Epoch: [9][5770/5809] Time 0.192 (0.937) Data 0.133 (0.864) Loss 2.7908 (2.7296) Prec@1 30.078 (34.343) Prec@5 63.281 (64.538) Epoch: [9][5780/5809] Time 0.782 (0.936) Data 0.722 (0.863) Loss 2.7889 (2.7296) Prec@1 30.469 (34.343) Prec@5 66.016 (64.537) Epoch: [9][5790/5809] Time 0.248 (0.935) Data 0.189 (0.862) Loss 2.6692 (2.7296) Prec@1 34.375 (34.342) Prec@5 64.062 (64.538) Epoch: [9][5800/5809] Time 0.325 (0.934) Data 0.262 (0.862) Loss 2.8220 (2.7296) Prec@1 33.203 (34.345) Prec@5 65.625 (64.540) Test: [0/143] Time 1.694 (1.694) Loss 1.7065 (1.7065) Prec@1 51.562 (51.562) Prec@5 85.156 (85.156) Test: [10/143] Time 0.121 (0.413) Loss 9.7969 (8.7476) Prec@1 0.000 (6.001) Prec@5 0.000 (13.849) Test: [20/143] Time 0.516 (0.381) Loss 10.2662 (9.6609) Prec@1 0.000 (3.330) Prec@5 0.000 (8.036) Test: [30/143] Time 0.146 (0.358) Loss 11.8104 (10.1262) Prec@1 0.391 (2.268) Prec@5 0.391 (5.708) Test: [40/143] Time 0.627 (0.359) Loss 10.9781 (10.2758) Prec@1 0.391 (1.763) Prec@5 1.172 (4.545) Test: [50/143] Time 0.177 (0.348) Loss 9.9463 (10.2618) Prec@1 0.000 (1.494) Prec@5 0.391 (4.718) Test: [60/143] Time 0.641 (0.346) Loss 11.4591 (10.3866) Prec@1 0.000 (1.262) Prec@5 0.391 (4.034) Test: [70/143] Time 0.124 (0.342) Loss 9.4392 (10.4916) Prec@1 0.000 (1.106) Prec@5 0.391 (3.582) Test: [80/143] Time 0.463 (0.344) Loss 8.4488 (10.4498) Prec@1 0.000 (1.013) Prec@5 2.344 (3.376) Test: [90/143] Time 0.193 (0.341) Loss 8.6428 (10.3538) Prec@1 0.391 (0.936) Prec@5 3.125 (3.232) Test: [100/143] Time 0.451 (0.340) Loss 10.7090 (10.3214) Prec@1 0.000 (0.878) Prec@5 0.000 (3.009) Test: [110/143] Time 0.174 (0.340) Loss 12.5440 (10.2964) Prec@1 0.000 (0.823) Prec@5 0.000 (2.914) Test: [120/143] Time 0.502 (0.339) Loss 13.8680 (10.3796) Prec@1 0.000 (0.772) Prec@5 0.000 (2.754) Test: [130/143] Time 0.157 (0.339) Loss 14.2826 (10.7175) Prec@1 0.000 (0.713) Prec@5 0.000 (2.544) Test: [140/143] Time 0.337 (0.338) Loss 15.8843 (11.0193) Prec@1 0.000 (0.662) Prec@5 0.000 (2.363) * Prec@1 0.655 Prec@5 2.338 Epoch: [10][0/5809] Time 2.912 (2.912) Data 2.844 (2.844) Loss 2.5729 (2.5729) Prec@1 38.281 (38.281) Prec@5 66.797 (66.797) Epoch: [10][10/5809] Time 0.139 (0.567) Data 0.001 (0.460) Loss 2.5295 (2.7051) Prec@1 39.844 (35.014) Prec@5 68.750 (64.489) Epoch: [10][20/5809] Time 0.981 (0.502) Data 0.914 (0.402) Loss 2.5162 (2.6975) Prec@1 39.062 (35.324) Prec@5 70.312 (64.769) Epoch: [10][30/5809] Time 0.134 (0.451) Data 0.001 (0.360) Loss 2.7590 (2.6876) Prec@1 34.766 (35.572) Prec@5 61.328 (65.108) Epoch: [10][40/5809] Time 0.919 (0.450) Data 0.860 (0.359) Loss 2.7649 (2.6715) Prec@1 36.719 (35.509) Prec@5 62.891 (65.149) Epoch: [10][50/5809] Time 0.132 (0.427) Data 0.051 (0.338) Loss 2.8243 (2.6779) Prec@1 33.594 (35.493) Prec@5 65.234 (65.043) Epoch: [10][60/5809] Time 0.986 (0.430) Data 0.921 (0.344) Loss 2.7879 (2.6851) Prec@1 31.250 (35.278) Prec@5 63.672 (65.164) Epoch: [10][70/5809] Time 0.132 (0.419) Data 0.001 (0.334) Loss 2.5323 (2.6805) Prec@1 37.891 (35.288) Prec@5 67.578 (65.273) Epoch: [10][80/5809] Time 0.592 (0.421) Data 0.533 (0.338) Loss 2.9366 (2.6825) Prec@1 33.594 (35.277) Prec@5 60.938 (65.297) Epoch: [10][90/5809] Time 0.133 (0.414) Data 0.001 (0.332) Loss 2.7680 (2.6853) Prec@1 30.078 (35.255) Prec@5 64.453 (65.325) Epoch: [10][100/5809] Time 0.497 (0.413) Data 0.436 (0.332) Loss 2.7821 (2.6934) Prec@1 31.641 (35.133) Prec@5 62.500 (65.118) Epoch: [10][110/5809] Time 0.282 (0.410) Data 0.223 (0.330) Loss 2.7470 (2.6959) Prec@1 37.500 (35.100) Prec@5 64.844 (65.129) Epoch: [10][120/5809] Time 0.200 (0.410) Data 0.141 (0.332) Loss 2.7760 (2.6967) Prec@1 33.203 (35.046) Prec@5 65.234 (65.241) Epoch: [10][130/5809] Time 0.134 (0.407) Data 0.058 (0.329) Loss 2.7866 (2.7022) Prec@1 30.859 (34.909) Prec@5 63.672 (65.038) Epoch: [10][140/5809] Time 0.133 (0.407) Data 0.070 (0.329) Loss 2.6734 (2.7016) Prec@1 36.719 (34.976) Prec@5 65.234 (65.049) Epoch: [10][150/5809] Time 0.494 (0.407) Data 0.435 (0.330) Loss 2.7947 (2.7020) Prec@1 36.328 (34.957) Prec@5 62.891 (65.020) Epoch: [10][160/5809] Time 0.262 (0.405) Data 0.202 (0.329) Loss 2.7520 (2.6995) Prec@1 31.250 (34.911) Prec@5 66.797 (65.094) Epoch: [10][170/5809] Time 0.328 (0.406) Data 0.269 (0.331) Loss 2.9585 (2.7038) Prec@1 29.688 (34.859) Prec@5 60.938 (65.056) Epoch: [10][180/5809] Time 0.134 (0.403) Data 0.069 (0.328) Loss 2.9178 (2.7040) Prec@1 30.859 (34.904) Prec@5 59.766 (65.060) Epoch: [10][190/5809] Time 0.556 (0.406) Data 0.498 (0.331) Loss 2.5875 (2.7009) Prec@1 35.938 (34.913) Prec@5 67.969 (65.155) Epoch: [10][200/5809] Time 0.133 (0.402) Data 0.001 (0.327) Loss 2.7990 (2.7004) Prec@1 34.766 (34.921) Prec@5 62.500 (65.139) Epoch: [10][210/5809] Time 0.513 (0.403) Data 0.454 (0.328) Loss 2.6825 (2.6998) Prec@1 33.203 (34.949) Prec@5 69.141 (65.173) Epoch: [10][220/5809] Time 0.134 (0.401) Data 0.001 (0.326) Loss 2.7947 (2.7018) Prec@1 33.984 (34.921) Prec@5 62.500 (65.144) Epoch: [10][230/5809] Time 0.276 (0.401) Data 0.218 (0.327) Loss 2.6439 (2.7010) Prec@1 33.594 (34.904) Prec@5 67.969 (65.138) Epoch: [10][240/5809] Time 0.260 (0.400) Data 0.201 (0.326) Loss 2.8431 (2.7042) Prec@1 32.812 (34.852) Prec@5 62.500 (65.106) Epoch: [10][250/5809] Time 0.358 (0.400) Data 0.298 (0.327) Loss 2.7682 (2.7041) Prec@1 36.719 (34.847) Prec@5 67.578 (65.115) Epoch: [10][260/5809] Time 0.497 (0.400) Data 0.434 (0.326) Loss 2.7387 (2.7036) Prec@1 31.250 (34.849) Prec@5 62.109 (65.104) Epoch: [10][270/5809] Time 0.275 (0.399) Data 0.215 (0.326) Loss 2.7915 (2.7051) Prec@1 31.641 (34.809) Prec@5 62.500 (65.037) Epoch: [10][280/5809] Time 0.586 (0.400) Data 0.523 (0.327) Loss 2.5289 (2.7000) Prec@1 33.984 (34.860) Prec@5 70.312 (65.133) Epoch: [10][290/5809] Time 0.134 (0.399) Data 0.001 (0.327) Loss 2.6441 (2.7003) Prec@1 35.938 (34.854) Prec@5 66.406 (65.116) Epoch: [10][300/5809] Time 0.879 (0.400) Data 0.815 (0.328) Loss 2.8374 (2.6991) Prec@1 30.859 (34.876) Prec@5 61.719 (65.179) Epoch: [10][310/5809] Time 0.169 (0.398) Data 0.109 (0.326) Loss 2.6985 (2.6999) Prec@1 33.984 (34.836) Prec@5 69.531 (65.165) Epoch: [10][320/5809] Time 0.770 (0.400) Data 0.703 (0.327) Loss 2.8086 (2.6989) Prec@1 32.031 (34.830) Prec@5 62.891 (65.159) Epoch: [10][330/5809] Time 0.598 (0.399) Data 0.537 (0.327) Loss 2.8726 (2.7009) Prec@1 30.469 (34.782) Prec@5 63.281 (65.127) Epoch: [10][340/5809] Time 0.594 (0.399) Data 0.526 (0.327) Loss 2.6631 (2.7011) Prec@1 34.375 (34.785) Prec@5 67.188 (65.113) Epoch: [10][350/5809] Time 0.706 (0.399) Data 0.639 (0.328) Loss 2.6609 (2.7002) Prec@1 32.031 (34.775) Prec@5 66.016 (65.131) Epoch: [10][360/5809] Time 0.348 (0.398) Data 0.289 (0.326) Loss 2.6736 (2.6997) Prec@1 38.672 (34.821) Prec@5 64.453 (65.119) Epoch: [10][370/5809] Time 0.657 (0.400) Data 0.596 (0.328) Loss 2.7860 (2.7010) Prec@1 29.688 (34.785) Prec@5 65.625 (65.094) Epoch: [10][380/5809] Time 0.131 (0.398) Data 0.050 (0.326) Loss 2.7151 (2.7012) Prec@1 30.859 (34.781) Prec@5 66.797 (65.106) Epoch: [10][390/5809] Time 0.875 (0.400) Data 0.816 (0.327) Loss 2.7016 (2.7001) Prec@1 35.547 (34.783) Prec@5 64.844 (65.124) Epoch: [10][400/5809] Time 0.133 (0.399) Data 0.001 (0.326) Loss 2.7641 (2.7001) Prec@1 36.328 (34.801) Prec@5 61.719 (65.093) Epoch: [10][410/5809] Time 0.491 (0.399) Data 0.427 (0.326) Loss 2.4885 (2.7007) Prec@1 37.500 (34.814) Prec@5 71.094 (65.098) Epoch: [10][420/5809] Time 0.133 (0.398) Data 0.001 (0.325) Loss 2.5883 (2.6999) Prec@1 35.938 (34.834) Prec@5 66.406 (65.115) Epoch: [10][430/5809] Time 0.596 (0.399) Data 0.537 (0.326) Loss 2.9048 (2.7003) Prec@1 32.422 (34.805) Prec@5 59.766 (65.082) Epoch: [10][440/5809] Time 0.235 (0.398) Data 0.172 (0.326) Loss 2.9352 (2.7006) Prec@1 32.812 (34.778) Prec@5 62.109 (65.096) Epoch: [10][450/5809] Time 0.616 (0.399) Data 0.553 (0.326) Loss 2.4973 (2.7011) Prec@1 39.453 (34.789) Prec@5 67.578 (65.091) Epoch: [10][460/5809] Time 0.541 (0.399) Data 0.479 (0.326) Loss 2.6049 (2.7001) Prec@1 35.938 (34.815) Prec@5 66.797 (65.105) Epoch: [10][470/5809] Time 0.405 (0.399) Data 0.346 (0.327) Loss 2.8465 (2.7004) Prec@1 32.812 (34.795) Prec@5 61.328 (65.106) Epoch: [10][480/5809] Time 0.558 (0.399) Data 0.499 (0.327) Loss 2.6299 (2.7007) Prec@1 34.375 (34.763) Prec@5 69.141 (65.099) Epoch: [10][490/5809] Time 0.455 (0.399) Data 0.392 (0.327) Loss 2.4861 (2.6991) Prec@1 38.672 (34.796) Prec@5 70.312 (65.109) Epoch: [10][500/5809] Time 0.690 (0.399) Data 0.632 (0.328) Loss 2.6154 (2.6989) Prec@1 36.719 (34.804) Prec@5 64.062 (65.119) Epoch: [10][510/5809] Time 0.150 (0.398) Data 0.090 (0.326) Loss 2.5639 (2.6983) Prec@1 31.250 (34.806) Prec@5 67.188 (65.140) Epoch: [10][520/5809] Time 0.644 (0.399) Data 0.585 (0.327) Loss 2.7349 (2.6995) Prec@1 37.109 (34.775) Prec@5 64.453 (65.118) Epoch: [10][530/5809] Time 0.135 (0.399) Data 0.001 (0.327) Loss 2.6518 (2.6993) Prec@1 33.984 (34.763) Prec@5 66.406 (65.132) Epoch: [10][540/5809] Time 0.959 (0.399) Data 0.897 (0.328) Loss 2.6193 (2.6994) Prec@1 35.156 (34.750) Prec@5 66.406 (65.122) Epoch: [10][550/5809] Time 0.132 (0.399) Data 0.047 (0.327) Loss 2.7332 (2.6988) Prec@1 39.062 (34.781) Prec@5 62.500 (65.141) Epoch: [10][560/5809] Time 0.752 (0.399) Data 0.685 (0.328) Loss 2.6047 (2.6982) Prec@1 36.328 (34.798) Prec@5 67.578 (65.159) Epoch: [10][570/5809] Time 0.134 (0.399) Data 0.004 (0.327) Loss 2.5358 (2.6970) Prec@1 36.328 (34.811) Prec@5 64.453 (65.181) Epoch: [10][580/5809] Time 0.764 (0.399) Data 0.704 (0.328) Loss 2.7236 (2.6978) Prec@1 35.156 (34.792) Prec@5 65.234 (65.183) Epoch: [10][590/5809] Time 0.313 (0.399) Data 0.254 (0.328) Loss 2.8122 (2.6978) Prec@1 30.078 (34.780) Prec@5 64.062 (65.189) Epoch: [10][600/5809] Time 0.717 (0.399) Data 0.657 (0.328) Loss 2.6952 (2.6978) Prec@1 37.891 (34.780) Prec@5 66.797 (65.169) Epoch: [10][610/5809] Time 0.263 (0.399) Data 0.204 (0.328) Loss 2.8058 (2.6986) Prec@1 34.375 (34.789) Prec@5 62.500 (65.145) Epoch: [10][620/5809] Time 0.960 (0.400) Data 0.899 (0.328) Loss 2.6551 (2.6987) Prec@1 31.641 (34.795) Prec@5 65.625 (65.144) Epoch: [10][630/5809] Time 0.131 (0.399) Data 0.041 (0.327) Loss 2.7443 (2.6983) Prec@1 32.031 (34.791) Prec@5 67.969 (65.174) Epoch: [10][640/5809] Time 0.876 (0.399) Data 0.804 (0.328) Loss 2.6187 (2.6976) Prec@1 31.250 (34.796) Prec@5 68.750 (65.194) Epoch: [10][650/5809] Time 0.132 (0.398) Data 0.001 (0.327) Loss 2.5077 (2.6972) Prec@1 34.375 (34.814) Prec@5 67.578 (65.210) Epoch: [10][660/5809] Time 1.246 (0.399) Data 1.177 (0.327) Loss 2.5926 (2.6966) Prec@1 36.719 (34.837) Prec@5 72.656 (65.224) Epoch: [10][670/5809] Time 0.133 (0.398) Data 0.005 (0.326) Loss 2.6309 (2.6971) Prec@1 35.156 (34.818) Prec@5 67.578 (65.230) Epoch: [10][680/5809] Time 0.788 (0.398) Data 0.727 (0.326) Loss 2.8047 (2.6978) Prec@1 35.547 (34.798) Prec@5 60.938 (65.217) Epoch: [10][690/5809] Time 0.133 (0.397) Data 0.001 (0.324) Loss 2.6458 (2.6976) Prec@1 37.109 (34.814) Prec@5 66.406 (65.207) Epoch: [10][700/5809] Time 1.637 (0.399) Data 1.577 (0.326) Loss 2.8632 (2.6977) Prec@1 32.031 (34.819) Prec@5 62.500 (65.200) Epoch: [10][710/5809] Time 0.133 (0.402) Data 0.001 (0.330) Loss 2.8831 (2.6973) Prec@1 31.250 (34.822) Prec@5 63.281 (65.214) Epoch: [10][720/5809] Time 0.462 (0.403) Data 0.401 (0.330) Loss 2.8173 (2.6971) Prec@1 31.250 (34.818) Prec@5 65.625 (65.216) Epoch: [10][730/5809] Time 0.958 (0.405) Data 0.900 (0.332) Loss 2.6219 (2.6975) Prec@1 33.984 (34.797) Prec@5 69.531 (65.215) Epoch: [10][740/5809] Time 0.200 (0.404) Data 0.141 (0.332) Loss 2.6373 (2.6974) Prec@1 38.281 (34.802) Prec@5 65.625 (65.206) Epoch: [10][750/5809] Time 0.540 (0.405) Data 0.481 (0.332) Loss 2.6425 (2.6975) Prec@1 37.500 (34.797) Prec@5 65.625 (65.200) Epoch: [10][760/5809] Time 0.416 (0.404) Data 0.356 (0.332) Loss 2.5392 (2.6969) Prec@1 39.453 (34.825) Prec@5 69.922 (65.200) Epoch: [10][770/5809] Time 0.307 (0.404) Data 0.245 (0.332) Loss 2.6724 (2.6972) Prec@1 33.203 (34.819) Prec@5 64.062 (65.195) Epoch: [10][780/5809] Time 0.380 (0.404) Data 0.321 (0.332) Loss 2.6178 (2.6969) Prec@1 35.547 (34.830) Prec@5 67.578 (65.213) Epoch: [10][790/5809] Time 0.254 (0.404) Data 0.193 (0.332) Loss 2.7108 (2.6970) Prec@1 36.719 (34.828) Prec@5 62.109 (65.212) Epoch: [10][800/5809] Time 0.580 (0.404) Data 0.517 (0.332) Loss 2.7980 (2.6977) Prec@1 29.688 (34.817) Prec@5 66.016 (65.195) Epoch: [10][810/5809] Time 0.164 (0.404) Data 0.105 (0.332) Loss 2.7424 (2.6983) Prec@1 31.641 (34.800) Prec@5 64.844 (65.177) Epoch: [10][820/5809] Time 0.691 (0.404) Data 0.631 (0.331) Loss 2.8931 (2.6986) Prec@1 30.469 (34.796) Prec@5 60.938 (65.165) Epoch: [10][830/5809] Time 0.141 (0.403) Data 0.001 (0.331) Loss 2.7624 (2.6987) Prec@1 32.812 (34.793) Prec@5 65.625 (65.167) Epoch: [10][840/5809] Time 0.609 (0.403) Data 0.547 (0.330) Loss 2.8835 (2.6990) Prec@1 31.250 (34.791) Prec@5 58.984 (65.150) Epoch: [10][850/5809] Time 0.134 (0.403) Data 0.014 (0.330) Loss 2.7851 (2.6999) Prec@1 33.594 (34.787) Prec@5 62.500 (65.137) Epoch: [10][860/5809] Time 0.971 (0.403) Data 0.912 (0.330) Loss 2.6645 (2.7002) Prec@1 35.938 (34.787) Prec@5 65.234 (65.125) Epoch: [10][870/5809] Time 0.146 (0.402) Data 0.087 (0.329) Loss 2.5698 (2.7003) Prec@1 39.453 (34.792) Prec@5 68.359 (65.123) Epoch: [10][880/5809] Time 1.124 (0.403) Data 1.063 (0.329) Loss 2.8221 (2.6998) Prec@1 28.906 (34.801) Prec@5 63.281 (65.139) Epoch: [10][890/5809] Time 0.133 (0.402) Data 0.045 (0.328) Loss 2.6555 (2.6997) Prec@1 32.812 (34.808) Prec@5 67.578 (65.148) Epoch: [10][900/5809] Time 0.865 (0.402) Data 0.797 (0.328) Loss 2.6815 (2.7003) Prec@1 35.938 (34.801) Prec@5 68.750 (65.139) Epoch: [10][910/5809] Time 0.134 (0.401) Data 0.001 (0.327) Loss 2.7422 (2.7008) Prec@1 33.203 (34.785) Prec@5 65.234 (65.134) Epoch: [10][920/5809] Time 0.479 (0.401) Data 0.420 (0.328) Loss 2.7798 (2.7014) Prec@1 37.109 (34.773) Prec@5 66.016 (65.130) Epoch: [10][930/5809] Time 0.132 (0.401) Data 0.001 (0.327) Loss 2.8420 (2.7012) Prec@1 31.250 (34.774) Prec@5 62.891 (65.139) Epoch: [10][940/5809] Time 0.473 (0.401) Data 0.414 (0.327) Loss 2.4914 (2.7010) Prec@1 38.281 (34.777) Prec@5 69.922 (65.145) Epoch: [10][950/5809] Time 0.215 (0.401) Data 0.156 (0.327) Loss 2.8710 (2.7011) Prec@1 33.203 (34.796) Prec@5 61.328 (65.135) Epoch: [10][960/5809] Time 0.126 (0.401) Data 0.001 (0.327) Loss 2.6169 (2.7007) Prec@1 34.375 (34.788) Prec@5 66.797 (65.142) Epoch: [10][970/5809] Time 0.817 (0.401) Data 0.759 (0.327) Loss 2.5668 (2.7005) Prec@1 39.453 (34.798) Prec@5 67.578 (65.144) Epoch: [10][980/5809] Time 0.134 (0.401) Data 0.001 (0.326) Loss 2.6481 (2.7011) Prec@1 38.281 (34.791) Prec@5 62.891 (65.121) Epoch: [10][990/5809] Time 0.919 (0.401) Data 0.856 (0.326) Loss 2.9090 (2.7012) Prec@1 36.328 (34.806) Prec@5 62.891 (65.122) Epoch: [10][1000/5809] Time 0.134 (0.400) Data 0.001 (0.326) Loss 2.5796 (2.7012) Prec@1 36.328 (34.811) Prec@5 66.406 (65.120) Epoch: [10][1010/5809] Time 0.968 (0.401) Data 0.898 (0.326) Loss 2.7865 (2.7013) Prec@1 32.031 (34.814) Prec@5 59.375 (65.117) Epoch: [10][1020/5809] Time 0.134 (0.400) Data 0.052 (0.325) Loss 2.5395 (2.7014) Prec@1 34.766 (34.813) Prec@5 68.359 (65.111) Epoch: [10][1030/5809] Time 0.650 (0.400) Data 0.592 (0.325) Loss 2.7696 (2.7017) Prec@1 33.984 (34.813) Prec@5 64.453 (65.104) Epoch: [10][1040/5809] Time 0.382 (0.400) Data 0.322 (0.325) Loss 2.6991 (2.7019) Prec@1 35.938 (34.815) Prec@5 68.750 (65.108) Epoch: [10][1050/5809] Time 0.519 (0.400) Data 0.461 (0.325) Loss 2.6913 (2.7019) Prec@1 36.328 (34.817) Prec@5 65.234 (65.105) Epoch: [10][1060/5809] Time 0.190 (0.399) Data 0.126 (0.325) Loss 2.5788 (2.7013) Prec@1 43.359 (34.836) Prec@5 64.844 (65.102) Epoch: [10][1070/5809] Time 0.134 (0.399) Data 0.001 (0.325) Loss 2.9037 (2.7022) Prec@1 30.469 (34.818) Prec@5 60.547 (65.071) Epoch: [10][1080/5809] Time 0.453 (0.399) Data 0.393 (0.325) Loss 2.7482 (2.7019) Prec@1 32.031 (34.826) Prec@5 66.406 (65.079) Epoch: [10][1090/5809] Time 0.365 (0.399) Data 0.306 (0.325) Loss 2.6761 (2.7019) Prec@1 36.328 (34.828) Prec@5 69.141 (65.088) Epoch: [10][1100/5809] Time 0.386 (0.399) Data 0.323 (0.325) Loss 2.8151 (2.7020) Prec@1 33.984 (34.825) Prec@5 61.719 (65.090) Epoch: [10][1110/5809] Time 0.604 (0.399) Data 0.544 (0.325) Loss 2.8777 (2.7017) Prec@1 32.812 (34.835) Prec@5 63.281 (65.107) Epoch: [10][1120/5809] Time 0.279 (0.399) Data 0.220 (0.325) Loss 2.5530 (2.7016) Prec@1 39.453 (34.841) Prec@5 67.969 (65.112) Epoch: [10][1130/5809] Time 0.883 (0.399) Data 0.823 (0.325) Loss 2.6949 (2.7023) Prec@1 34.766 (34.823) Prec@5 62.891 (65.098) Epoch: [10][1140/5809] Time 0.134 (0.398) Data 0.001 (0.324) Loss 2.7453 (2.7027) Prec@1 33.203 (34.809) Prec@5 65.625 (65.091) Epoch: [10][1150/5809] Time 0.936 (0.399) Data 0.877 (0.324) Loss 2.6332 (2.7031) Prec@1 33.594 (34.789) Prec@5 64.844 (65.082) Epoch: [10][1160/5809] Time 0.238 (0.398) Data 0.175 (0.324) Loss 2.5291 (2.7030) Prec@1 37.109 (34.783) Prec@5 66.016 (65.083) Epoch: [10][1170/5809] Time 0.729 (0.398) Data 0.663 (0.324) Loss 2.5768 (2.7028) Prec@1 36.719 (34.790) Prec@5 69.922 (65.091) Epoch: [10][1180/5809] Time 0.134 (0.398) Data 0.001 (0.323) Loss 2.8295 (2.7033) Prec@1 35.156 (34.780) Prec@5 64.844 (65.089) Epoch: [10][1190/5809] Time 0.894 (0.398) Data 0.836 (0.323) Loss 2.8441 (2.7036) Prec@1 33.984 (34.773) Prec@5 60.156 (65.084) Epoch: [10][1200/5809] Time 0.188 (0.397) Data 0.127 (0.323) Loss 2.5945 (2.7028) Prec@1 37.891 (34.778) Prec@5 65.625 (65.090) Epoch: [10][1210/5809] Time 0.768 (0.397) Data 0.702 (0.323) Loss 2.7228 (2.7030) Prec@1 37.500 (34.772) Prec@5 67.578 (65.093) Epoch: [10][1220/5809] Time 0.399 (0.397) Data 0.340 (0.322) Loss 2.7294 (2.7033) Prec@1 36.328 (34.768) Prec@5 64.062 (65.081) Epoch: [10][1230/5809] Time 0.518 (0.397) Data 0.459 (0.322) Loss 2.8321 (2.7037) Prec@1 33.203 (34.762) Prec@5 62.891 (65.078) Epoch: [10][1240/5809] Time 0.149 (0.396) Data 0.088 (0.322) Loss 2.9024 (2.7035) Prec@1 32.812 (34.769) Prec@5 62.500 (65.085) Epoch: [10][1250/5809] Time 0.210 (0.396) Data 0.151 (0.322) Loss 2.6094 (2.7037) Prec@1 36.328 (34.766) Prec@5 66.797 (65.078) Epoch: [10][1260/5809] Time 0.359 (0.396) Data 0.300 (0.322) Loss 2.6023 (2.7037) Prec@1 34.766 (34.766) Prec@5 64.453 (65.070) Epoch: [10][1270/5809] Time 0.132 (0.396) Data 0.005 (0.322) Loss 2.8219 (2.7034) Prec@1 34.375 (34.767) Prec@5 60.938 (65.070) Epoch: [10][1280/5809] Time 0.734 (0.396) Data 0.674 (0.322) Loss 2.5205 (2.7034) Prec@1 36.719 (34.759) Prec@5 73.047 (65.076) Epoch: [10][1290/5809] Time 0.429 (0.396) Data 0.369 (0.322) Loss 2.6439 (2.7033) Prec@1 35.156 (34.756) Prec@5 66.406 (65.079) Epoch: [10][1300/5809] Time 0.595 (0.396) Data 0.533 (0.322) Loss 2.4435 (2.7031) Prec@1 36.328 (34.756) Prec@5 68.750 (65.084) Epoch: [10][1310/5809] Time 0.634 (0.395) Data 0.573 (0.322) Loss 2.6215 (2.7032) Prec@1 34.375 (34.752) Prec@5 66.016 (65.080) Epoch: [10][1320/5809] Time 0.532 (0.395) Data 0.469 (0.321) Loss 2.5292 (2.7033) Prec@1 36.328 (34.752) Prec@5 66.797 (65.083) Epoch: [10][1330/5809] Time 0.133 (0.395) Data 0.040 (0.321) Loss 2.7485 (2.7038) Prec@1 34.766 (34.747) Prec@5 65.625 (65.073) Epoch: [10][1340/5809] Time 0.438 (0.395) Data 0.379 (0.321) Loss 2.7603 (2.7038) Prec@1 32.031 (34.737) Prec@5 62.891 (65.074) Epoch: [10][1350/5809] Time 0.303 (0.397) Data 0.244 (0.323) Loss 2.8100 (2.7041) Prec@1 27.344 (34.726) Prec@5 60.938 (65.060) Epoch: [10][1360/5809] Time 0.454 (0.397) Data 0.395 (0.323) Loss 2.8199 (2.7044) Prec@1 32.031 (34.721) Prec@5 65.625 (65.060) Epoch: [10][1370/5809] Time 0.138 (0.396) Data 0.077 (0.323) Loss 2.5285 (2.7043) Prec@1 38.672 (34.723) Prec@5 68.359 (65.063) Epoch: [10][1380/5809] Time 0.254 (0.396) Data 0.195 (0.323) Loss 2.7381 (2.7045) Prec@1 32.422 (34.718) Prec@5 63.281 (65.062) Epoch: [10][1390/5809] Time 0.133 (0.396) Data 0.001 (0.323) Loss 2.8964 (2.7043) Prec@1 35.156 (34.722) Prec@5 62.500 (65.061) Epoch: [10][1400/5809] Time 0.134 (0.396) Data 0.001 (0.323) Loss 2.5519 (2.7044) Prec@1 39.844 (34.719) Prec@5 71.094 (65.060) Epoch: [10][1410/5809] Time 0.342 (0.396) Data 0.282 (0.323) Loss 2.8022 (2.7042) Prec@1 35.156 (34.724) Prec@5 62.500 (65.061) Epoch: [10][1420/5809] Time 0.132 (0.396) Data 0.001 (0.323) Loss 2.7422 (2.7042) Prec@1 33.984 (34.723) Prec@5 62.109 (65.059) Epoch: [10][1430/5809] Time 0.309 (0.396) Data 0.250 (0.322) Loss 2.7595 (2.7043) Prec@1 34.766 (34.713) Prec@5 64.062 (65.062) Epoch: [10][1440/5809] Time 0.149 (0.396) Data 0.089 (0.323) Loss 2.7070 (2.7043) Prec@1 34.766 (34.710) Prec@5 64.453 (65.067) Epoch: [10][1450/5809] Time 0.347 (0.396) Data 0.289 (0.322) Loss 2.5085 (2.7044) Prec@1 42.188 (34.708) Prec@5 69.531 (65.070) Epoch: [10][1460/5809] Time 0.131 (0.396) Data 0.042 (0.322) Loss 2.8239 (2.7041) Prec@1 31.641 (34.706) Prec@5 63.672 (65.070) Epoch: [10][1470/5809] Time 0.564 (0.396) Data 0.505 (0.322) Loss 2.8916 (2.7045) Prec@1 32.031 (34.699) Prec@5 66.016 (65.069) Epoch: [10][1480/5809] Time 0.126 (0.396) Data 0.060 (0.322) Loss 2.9049 (2.7050) Prec@1 29.688 (34.688) Prec@5 62.891 (65.059) Epoch: [10][1490/5809] Time 0.948 (0.396) Data 0.889 (0.322) Loss 2.6540 (2.7051) Prec@1 35.156 (34.690) Prec@5 65.234 (65.065) Epoch: [10][1500/5809] Time 0.133 (0.396) Data 0.071 (0.322) Loss 2.7069 (2.7051) Prec@1 36.719 (34.696) Prec@5 64.453 (65.063) Epoch: [10][1510/5809] Time 0.760 (0.396) Data 0.701 (0.322) Loss 2.8124 (2.7053) Prec@1 37.891 (34.694) Prec@5 65.234 (65.063) Epoch: [10][1520/5809] Time 0.133 (0.396) Data 0.045 (0.322) Loss 2.5947 (2.7054) Prec@1 39.844 (34.703) Prec@5 64.062 (65.059) Epoch: [10][1530/5809] Time 0.684 (0.396) Data 0.623 (0.322) Loss 2.7265 (2.7056) Prec@1 37.109 (34.699) Prec@5 64.844 (65.058) Epoch: [10][1540/5809] Time 0.169 (0.396) Data 0.105 (0.322) Loss 3.0150 (2.7058) Prec@1 27.344 (34.694) Prec@5 57.422 (65.053) Epoch: [10][1550/5809] Time 0.532 (0.396) Data 0.473 (0.323) Loss 2.4841 (2.7057) Prec@1 41.797 (34.691) Prec@5 64.453 (65.056) Epoch: [10][1560/5809] Time 0.134 (0.396) Data 0.056 (0.322) Loss 2.7135 (2.7060) Prec@1 34.766 (34.685) Prec@5 65.234 (65.050) Epoch: [10][1570/5809] Time 0.641 (0.396) Data 0.582 (0.323) Loss 2.6164 (2.7061) Prec@1 35.938 (34.683) Prec@5 69.141 (65.048) Epoch: [10][1580/5809] Time 0.199 (0.396) Data 0.136 (0.322) Loss 2.8497 (2.7058) Prec@1 30.078 (34.689) Prec@5 59.375 (65.051) Epoch: [10][1590/5809] Time 0.596 (0.396) Data 0.535 (0.322) Loss 2.7641 (2.7057) Prec@1 34.766 (34.688) Prec@5 65.234 (65.051) Epoch: [10][1600/5809] Time 0.457 (0.396) Data 0.398 (0.322) Loss 2.8193 (2.7058) Prec@1 33.594 (34.690) Prec@5 64.062 (65.057) Epoch: [10][1610/5809] Time 0.538 (0.396) Data 0.470 (0.322) Loss 2.7699 (2.7057) Prec@1 33.203 (34.693) Prec@5 62.500 (65.062) Epoch: [10][1620/5809] Time 0.577 (0.396) Data 0.518 (0.322) Loss 2.7579 (2.7060) Prec@1 35.156 (34.695) Prec@5 64.453 (65.060) Epoch: [10][1630/5809] Time 0.132 (0.395) Data 0.050 (0.322) Loss 2.9209 (2.7056) Prec@1 31.641 (34.698) Prec@5 62.891 (65.069) Epoch: [10][1640/5809] Time 0.715 (0.396) Data 0.656 (0.322) Loss 2.7904 (2.7059) Prec@1 33.984 (34.697) Prec@5 62.500 (65.064) Epoch: [10][1650/5809] Time 0.126 (0.395) Data 0.057 (0.322) Loss 2.8003 (2.7061) Prec@1 30.859 (34.693) Prec@5 62.109 (65.061) Epoch: [10][1660/5809] Time 0.789 (0.396) Data 0.724 (0.322) Loss 2.7454 (2.7060) Prec@1 33.594 (34.693) Prec@5 60.547 (65.058) Epoch: [10][1670/5809] Time 0.133 (0.395) Data 0.068 (0.322) Loss 2.8015 (2.7064) Prec@1 32.422 (34.683) Prec@5 63.672 (65.051) Epoch: [10][1680/5809] Time 1.239 (0.396) Data 1.181 (0.322) Loss 2.4489 (2.7064) Prec@1 37.891 (34.686) Prec@5 69.531 (65.044) Epoch: [10][1690/5809] Time 0.141 (0.395) Data 0.001 (0.322) Loss 2.6837 (2.7066) Prec@1 36.328 (34.682) Prec@5 60.938 (65.035) Epoch: [10][1700/5809] Time 0.926 (0.395) Data 0.868 (0.322) Loss 2.7140 (2.7066) Prec@1 34.766 (34.688) Prec@5 63.672 (65.036) Epoch: [10][1710/5809] Time 0.163 (0.395) Data 0.104 (0.321) Loss 2.6647 (2.7066) Prec@1 35.547 (34.691) Prec@5 68.359 (65.038) Epoch: [10][1720/5809] Time 0.896 (0.395) Data 0.837 (0.322) Loss 2.7657 (2.7067) Prec@1 32.031 (34.698) Prec@5 62.891 (65.036) Epoch: [10][1730/5809] Time 0.194 (0.395) Data 0.135 (0.321) Loss 3.0413 (2.7069) Prec@1 28.906 (34.686) Prec@5 57.031 (65.033) Epoch: [10][1740/5809] Time 0.678 (0.395) Data 0.618 (0.322) Loss 2.7387 (2.7070) Prec@1 34.766 (34.688) Prec@5 66.797 (65.033) Epoch: [10][1750/5809] Time 0.338 (0.395) Data 0.279 (0.322) Loss 2.8254 (2.7069) Prec@1 32.031 (34.692) Prec@5 64.062 (65.034) Epoch: [10][1760/5809] Time 0.241 (0.395) Data 0.182 (0.322) Loss 2.9049 (2.7074) Prec@1 32.031 (34.684) Prec@5 58.203 (65.023) Epoch: [10][1770/5809] Time 0.406 (0.395) Data 0.346 (0.322) Loss 2.7030 (2.7079) Prec@1 33.984 (34.669) Prec@5 64.453 (65.012) Epoch: [10][1780/5809] Time 0.228 (0.395) Data 0.168 (0.322) Loss 2.5712 (2.7080) Prec@1 35.547 (34.661) Prec@5 65.625 (65.008) Epoch: [10][1790/5809] Time 0.452 (0.395) Data 0.390 (0.322) Loss 2.7974 (2.7080) Prec@1 32.031 (34.662) Prec@5 62.109 (65.005) Epoch: [10][1800/5809] Time 0.468 (0.395) Data 0.408 (0.322) Loss 2.9220 (2.7081) Prec@1 35.156 (34.656) Prec@5 60.938 (64.997) Epoch: [10][1810/5809] Time 0.369 (0.395) Data 0.304 (0.322) Loss 2.7370 (2.7082) Prec@1 34.766 (34.654) Prec@5 65.234 (64.999) Epoch: [10][1820/5809] Time 0.720 (0.395) Data 0.655 (0.322) Loss 2.7091 (2.7083) Prec@1 36.719 (34.660) Prec@5 68.750 (64.998) Epoch: [10][1830/5809] Time 0.206 (0.395) Data 0.143 (0.322) Loss 2.9357 (2.7080) Prec@1 27.344 (34.664) Prec@5 60.547 (65.001) Epoch: [10][1840/5809] Time 0.732 (0.395) Data 0.673 (0.322) Loss 2.5993 (2.7076) Prec@1 37.891 (34.671) Prec@5 65.625 (65.008) Epoch: [10][1850/5809] Time 0.133 (0.395) Data 0.001 (0.322) Loss 2.6363 (2.7076) Prec@1 33.594 (34.673) Prec@5 67.969 (65.008) Epoch: [10][1860/5809] Time 0.476 (0.395) Data 0.416 (0.322) Loss 2.6698 (2.7076) Prec@1 35.156 (34.677) Prec@5 65.625 (65.003) Epoch: [10][1870/5809] Time 0.133 (0.395) Data 0.052 (0.322) Loss 2.8036 (2.7078) Prec@1 34.375 (34.676) Prec@5 60.156 (65.000) Epoch: [10][1880/5809] Time 0.199 (0.395) Data 0.138 (0.321) Loss 2.6969 (2.7078) Prec@1 36.328 (34.681) Prec@5 67.578 (65.002) Epoch: [10][1890/5809] Time 0.125 (0.395) Data 0.001 (0.321) Loss 2.6346 (2.7077) Prec@1 37.891 (34.686) Prec@5 64.844 (64.999) Epoch: [10][1900/5809] Time 0.452 (0.395) Data 0.393 (0.321) Loss 2.7463 (2.7075) Prec@1 36.328 (34.689) Prec@5 64.062 (64.995) Epoch: [10][1910/5809] Time 0.140 (0.395) Data 0.048 (0.321) Loss 2.6197 (2.7074) Prec@1 33.984 (34.686) Prec@5 67.969 (64.994) Epoch: [10][1920/5809] Time 0.291 (0.394) Data 0.232 (0.321) Loss 2.6403 (2.7076) Prec@1 32.422 (34.674) Prec@5 65.234 (64.986) Epoch: [10][1930/5809] Time 0.143 (0.395) Data 0.068 (0.321) Loss 2.8473 (2.7076) Prec@1 32.812 (34.674) Prec@5 64.453 (64.990) Epoch: [10][1940/5809] Time 0.166 (0.394) Data 0.103 (0.321) Loss 2.7274 (2.7073) Prec@1 34.375 (34.680) Prec@5 64.453 (64.998) Epoch: [10][1950/5809] Time 0.560 (0.395) Data 0.492 (0.321) Loss 2.6476 (2.7072) Prec@1 37.109 (34.684) Prec@5 65.234 (64.996) Epoch: [10][1960/5809] Time 0.132 (0.394) Data 0.065 (0.321) Loss 2.7640 (2.7072) Prec@1 37.500 (34.683) Prec@5 65.234 (65.001) Epoch: [10][1970/5809] Time 0.676 (0.395) Data 0.611 (0.321) Loss 2.8042 (2.7070) Prec@1 33.984 (34.687) Prec@5 63.672 (64.998) Epoch: [10][1980/5809] Time 0.133 (0.394) Data 0.007 (0.321) Loss 2.7187 (2.7069) Prec@1 32.422 (34.693) Prec@5 65.234 (65.000) Epoch: [10][1990/5809] Time 0.683 (0.394) Data 0.625 (0.321) Loss 2.7006 (2.7069) Prec@1 33.203 (34.694) Prec@5 66.406 (65.000) Epoch: [10][2000/5809] Time 0.130 (0.394) Data 0.045 (0.321) Loss 2.7974 (2.7067) Prec@1 35.156 (34.699) Prec@5 65.625 (65.007) Epoch: [10][2010/5809] Time 0.766 (0.394) Data 0.701 (0.321) Loss 2.6296 (2.7065) Prec@1 33.203 (34.705) Prec@5 66.797 (65.011) Epoch: [10][2020/5809] Time 0.133 (0.394) Data 0.049 (0.321) Loss 2.7506 (2.7069) Prec@1 31.641 (34.699) Prec@5 60.156 (65.001) Epoch: [10][2030/5809] Time 0.749 (0.394) Data 0.689 (0.321) Loss 2.5095 (2.7067) Prec@1 32.812 (34.697) Prec@5 69.141 (65.000) Epoch: [10][2040/5809] Time 0.356 (0.394) Data 0.296 (0.321) Loss 2.6469 (2.7063) Prec@1 32.031 (34.698) Prec@5 67.578 (65.011) Epoch: [10][2050/5809] Time 0.686 (0.394) Data 0.627 (0.321) Loss 2.7412 (2.7062) Prec@1 33.203 (34.706) Prec@5 61.328 (65.012) Epoch: [10][2060/5809] Time 0.358 (0.394) Data 0.300 (0.321) Loss 2.7627 (2.7062) Prec@1 33.203 (34.710) Prec@5 63.672 (65.008) Epoch: [10][2070/5809] Time 0.504 (0.394) Data 0.441 (0.321) Loss 2.7120 (2.7062) Prec@1 36.328 (34.712) Prec@5 64.844 (65.012) Epoch: [10][2080/5809] Time 0.407 (0.394) Data 0.348 (0.321) Loss 2.6295 (2.7062) Prec@1 37.109 (34.714) Prec@5 63.281 (65.016) Epoch: [10][2090/5809] Time 0.690 (0.394) Data 0.626 (0.321) Loss 2.5415 (2.7060) Prec@1 38.672 (34.715) Prec@5 68.359 (65.021) Epoch: [10][2100/5809] Time 0.432 (0.394) Data 0.373 (0.321) Loss 2.6526 (2.7059) Prec@1 41.406 (34.726) Prec@5 64.062 (65.022) Epoch: [10][2110/5809] Time 0.576 (0.394) Data 0.514 (0.321) Loss 2.6285 (2.7056) Prec@1 36.719 (34.733) Prec@5 66.016 (65.030) Epoch: [10][2120/5809] Time 0.149 (0.394) Data 0.090 (0.321) Loss 2.5674 (2.7052) Prec@1 37.891 (34.743) Prec@5 68.359 (65.034) Epoch: [10][2130/5809] Time 0.295 (0.394) Data 0.227 (0.321) Loss 2.5795 (2.7050) Prec@1 33.984 (34.746) Prec@5 62.891 (65.037) Epoch: [10][2140/5809] Time 0.144 (0.394) Data 0.083 (0.321) Loss 2.6381 (2.7050) Prec@1 36.719 (34.739) Prec@5 66.406 (65.038) Epoch: [10][2150/5809] Time 0.137 (0.394) Data 0.076 (0.321) Loss 2.7272 (2.7049) Prec@1 34.766 (34.737) Prec@5 65.234 (65.039) Epoch: [10][2160/5809] Time 0.139 (0.394) Data 0.078 (0.321) Loss 2.8604 (2.7048) Prec@1 36.328 (34.742) Prec@5 61.719 (65.038) Epoch: [10][2170/5809] Time 0.134 (0.394) Data 0.003 (0.321) Loss 2.7333 (2.7047) Prec@1 37.891 (34.745) Prec@5 61.719 (65.040) Epoch: [10][2180/5809] Time 0.170 (0.394) Data 0.110 (0.321) Loss 2.6245 (2.7048) Prec@1 38.281 (34.748) Prec@5 66.016 (65.042) Epoch: [10][2190/5809] Time 0.396 (0.394) Data 0.329 (0.321) Loss 2.6866 (2.7047) Prec@1 37.109 (34.755) Prec@5 63.281 (65.041) Epoch: [10][2200/5809] Time 0.133 (0.394) Data 0.001 (0.321) Loss 2.7386 (2.7048) Prec@1 28.125 (34.750) Prec@5 66.797 (65.040) Epoch: [10][2210/5809] Time 0.374 (0.394) Data 0.316 (0.321) Loss 2.7619 (2.7048) Prec@1 35.938 (34.753) Prec@5 60.547 (65.041) Epoch: [10][2220/5809] Time 0.358 (0.394) Data 0.297 (0.321) Loss 2.5971 (2.7046) Prec@1 40.234 (34.759) Prec@5 66.797 (65.042) Epoch: [10][2230/5809] Time 0.506 (0.394) Data 0.446 (0.321) Loss 2.9918 (2.7043) Prec@1 27.344 (34.762) Prec@5 61.719 (65.049) Epoch: [10][2240/5809] Time 0.442 (0.394) Data 0.379 (0.321) Loss 2.6436 (2.7043) Prec@1 33.984 (34.761) Prec@5 63.672 (65.046) Epoch: [10][2250/5809] Time 0.399 (0.394) Data 0.340 (0.321) Loss 2.5309 (2.7043) Prec@1 35.938 (34.762) Prec@5 68.750 (65.049) Epoch: [10][2260/5809] Time 0.853 (0.394) Data 0.793 (0.321) Loss 2.8689 (2.7042) Prec@1 34.766 (34.764) Prec@5 65.625 (65.055) Epoch: [10][2270/5809] Time 0.134 (0.393) Data 0.001 (0.321) Loss 2.6362 (2.7042) Prec@1 34.375 (34.761) Prec@5 65.625 (65.054) Epoch: [10][2280/5809] Time 0.926 (0.394) Data 0.852 (0.321) Loss 2.8543 (2.7047) Prec@1 34.375 (34.755) Prec@5 61.719 (65.045) Epoch: [10][2290/5809] Time 0.133 (0.393) Data 0.001 (0.321) Loss 2.7212 (2.7048) Prec@1 32.422 (34.756) Prec@5 63.281 (65.043) Epoch: [10][2300/5809] Time 1.012 (0.394) Data 0.954 (0.321) Loss 2.7412 (2.7051) Prec@1 36.328 (34.754) Prec@5 62.891 (65.035) Epoch: [10][2310/5809] Time 0.130 (0.393) Data 0.048 (0.321) Loss 2.8029 (2.7051) Prec@1 33.203 (34.756) Prec@5 62.109 (65.034) Epoch: [10][2320/5809] Time 0.806 (0.393) Data 0.744 (0.321) Loss 2.8336 (2.7050) Prec@1 33.203 (34.759) Prec@5 65.234 (65.034) Epoch: [10][2330/5809] Time 0.133 (0.393) Data 0.001 (0.320) Loss 2.7076 (2.7049) Prec@1 34.375 (34.758) Prec@5 64.844 (65.040) Epoch: [10][2340/5809] Time 1.060 (0.393) Data 0.998 (0.321) Loss 2.8267 (2.7050) Prec@1 33.203 (34.760) Prec@5 62.891 (65.036) Epoch: [10][2350/5809] Time 0.133 (0.393) Data 0.001 (0.320) Loss 2.6680 (2.7051) Prec@1 33.203 (34.759) Prec@5 65.625 (65.035) Epoch: [10][2360/5809] Time 0.962 (0.393) Data 0.896 (0.320) Loss 2.8070 (2.7050) Prec@1 28.516 (34.764) Prec@5 62.891 (65.039) Epoch: [10][2370/5809] Time 0.134 (0.393) Data 0.048 (0.320) Loss 2.6745 (2.7048) Prec@1 29.688 (34.768) Prec@5 64.062 (65.044) Epoch: [10][2380/5809] Time 0.731 (0.393) Data 0.671 (0.320) Loss 2.6960 (2.7049) Prec@1 34.766 (34.763) Prec@5 64.453 (65.038) Epoch: [10][2390/5809] Time 0.273 (0.393) Data 0.208 (0.320) Loss 2.7643 (2.7052) Prec@1 32.031 (34.760) Prec@5 63.281 (65.033) Epoch: [10][2400/5809] Time 0.755 (0.393) Data 0.696 (0.320) Loss 2.6259 (2.7054) Prec@1 36.719 (34.755) Prec@5 67.578 (65.029) Epoch: [10][2410/5809] Time 0.132 (0.393) Data 0.001 (0.320) Loss 2.6480 (2.7051) Prec@1 38.281 (34.762) Prec@5 68.750 (65.034) Epoch: [10][2420/5809] Time 0.550 (0.393) Data 0.492 (0.320) Loss 2.6736 (2.7052) Prec@1 35.156 (34.755) Prec@5 64.453 (65.030) Epoch: [10][2430/5809] Time 0.134 (0.393) Data 0.001 (0.320) Loss 2.7569 (2.7052) Prec@1 35.156 (34.752) Prec@5 65.625 (65.032) Epoch: [10][2440/5809] Time 0.839 (0.393) Data 0.780 (0.320) Loss 2.9662 (2.7054) Prec@1 30.078 (34.751) Prec@5 57.422 (65.028) Epoch: [10][2450/5809] Time 0.236 (0.393) Data 0.170 (0.320) Loss 2.7235 (2.7056) Prec@1 39.062 (34.752) Prec@5 66.797 (65.028) Epoch: [10][2460/5809] Time 0.889 (0.393) Data 0.830 (0.320) Loss 2.7197 (2.7055) Prec@1 36.719 (34.754) Prec@5 61.328 (65.027) Epoch: [10][2470/5809] Time 0.133 (0.393) Data 0.001 (0.320) Loss 2.7212 (2.7055) Prec@1 32.812 (34.753) Prec@5 63.672 (65.020) Epoch: [10][2480/5809] Time 0.603 (0.393) Data 0.536 (0.320) Loss 2.6762 (2.7054) Prec@1 33.203 (34.752) Prec@5 66.406 (65.027) Epoch: [10][2490/5809] Time 0.134 (0.393) Data 0.001 (0.320) Loss 2.8651 (2.7055) Prec@1 30.469 (34.752) Prec@5 61.328 (65.026) Epoch: [10][2500/5809] Time 0.705 (0.393) Data 0.644 (0.320) Loss 2.8154 (2.7058) Prec@1 33.594 (34.746) Prec@5 64.844 (65.017) Epoch: [10][2510/5809] Time 0.133 (0.393) Data 0.052 (0.319) Loss 2.7004 (2.7057) Prec@1 33.594 (34.741) Prec@5 64.453 (65.020) Epoch: [10][2520/5809] Time 0.133 (0.393) Data 0.055 (0.319) Loss 2.5517 (2.7055) Prec@1 36.328 (34.741) Prec@5 66.406 (65.023) Epoch: [10][2530/5809] Time 0.545 (0.392) Data 0.484 (0.319) Loss 2.6540 (2.7054) Prec@1 35.156 (34.739) Prec@5 66.797 (65.025) Epoch: [10][2540/5809] Time 0.134 (0.392) Data 0.001 (0.319) Loss 2.8627 (2.7055) Prec@1 31.641 (34.736) Prec@5 63.672 (65.023) Epoch: [10][2550/5809] Time 0.545 (0.392) Data 0.485 (0.319) Loss 2.8305 (2.7055) Prec@1 37.109 (34.732) Prec@5 63.281 (65.021) Epoch: [10][2560/5809] Time 0.133 (0.392) Data 0.051 (0.318) Loss 2.4717 (2.7056) Prec@1 35.938 (34.733) Prec@5 70.312 (65.019) Epoch: [10][2570/5809] Time 0.342 (0.392) Data 0.282 (0.318) Loss 2.7000 (2.7055) Prec@1 37.891 (34.734) Prec@5 63.672 (65.019) Epoch: [10][2580/5809] Time 0.430 (0.391) Data 0.370 (0.318) Loss 2.9821 (2.7056) Prec@1 30.859 (34.731) Prec@5 62.109 (65.017) Epoch: [10][2590/5809] Time 0.389 (0.391) Data 0.328 (0.318) Loss 2.8465 (2.7055) Prec@1 29.297 (34.734) Prec@5 62.109 (65.016) Epoch: [10][2600/5809] Time 0.532 (0.391) Data 0.472 (0.318) Loss 2.7422 (2.7056) Prec@1 33.984 (34.731) Prec@5 63.672 (65.019) Epoch: [10][2610/5809] Time 0.133 (0.391) Data 0.051 (0.318) Loss 2.8734 (2.7059) Prec@1 31.250 (34.731) Prec@5 60.547 (65.014) Epoch: [10][2620/5809] Time 0.516 (0.391) Data 0.455 (0.317) Loss 2.6598 (2.7060) Prec@1 39.844 (34.728) Prec@5 63.672 (65.013) Epoch: [10][2630/5809] Time 0.134 (0.391) Data 0.001 (0.317) Loss 2.6497 (2.7062) Prec@1 38.281 (34.731) Prec@5 64.453 (65.013) Epoch: [10][2640/5809] Time 0.401 (0.390) Data 0.340 (0.317) Loss 2.9329 (2.7064) Prec@1 32.812 (34.731) Prec@5 62.891 (65.008) Epoch: [10][2650/5809] Time 0.134 (0.390) Data 0.052 (0.317) Loss 2.8287 (2.7068) Prec@1 33.594 (34.727) Prec@5 62.891 (65.000) Epoch: [10][2660/5809] Time 0.238 (0.390) Data 0.179 (0.317) Loss 2.6673 (2.7068) Prec@1 35.547 (34.730) Prec@5 63.281 (64.998) Epoch: [10][2670/5809] Time 0.132 (0.390) Data 0.041 (0.317) Loss 2.7454 (2.7067) Prec@1 35.938 (34.730) Prec@5 63.672 (65.001) Epoch: [10][2680/5809] Time 0.133 (0.390) Data 0.004 (0.316) Loss 2.6967 (2.7069) Prec@1 33.984 (34.723) Prec@5 66.406 (65.000) Epoch: [10][2690/5809] Time 0.133 (0.389) Data 0.040 (0.316) Loss 2.6416 (2.7070) Prec@1 33.984 (34.723) Prec@5 67.969 (64.997) Epoch: [10][2700/5809] Time 0.260 (0.389) Data 0.200 (0.316) Loss 2.5888 (2.7068) Prec@1 34.375 (34.729) Prec@5 68.750 (64.999) Epoch: [10][2710/5809] Time 0.127 (0.389) Data 0.053 (0.316) Loss 2.9245 (2.7067) Prec@1 32.422 (34.732) Prec@5 62.109 (65.000) Epoch: [10][2720/5809] Time 0.128 (0.389) Data 0.052 (0.315) Loss 2.8387 (2.7067) Prec@1 31.250 (34.729) Prec@5 62.500 (65.001) Epoch: [10][2730/5809] Time 0.303 (0.389) Data 0.243 (0.315) Loss 2.8877 (2.7069) Prec@1 29.297 (34.730) Prec@5 62.109 (64.999) Epoch: [10][2740/5809] Time 0.438 (0.388) Data 0.377 (0.315) Loss 2.7344 (2.7069) Prec@1 35.547 (34.734) Prec@5 61.719 (64.999) Epoch: [10][2750/5809] Time 0.192 (0.388) Data 0.132 (0.315) Loss 2.5936 (2.7067) Prec@1 33.203 (34.736) Prec@5 69.531 (65.002) Epoch: [10][2760/5809] Time 0.338 (0.388) Data 0.278 (0.315) Loss 2.8285 (2.7065) Prec@1 32.031 (34.735) Prec@5 63.281 (65.009) Epoch: [10][2770/5809] Time 0.254 (0.388) Data 0.194 (0.315) Loss 2.8513 (2.7063) Prec@1 33.984 (34.739) Prec@5 59.766 (65.009) Epoch: [10][2780/5809] Time 0.332 (0.388) Data 0.272 (0.315) Loss 2.5585 (2.7065) Prec@1 40.234 (34.736) Prec@5 66.797 (65.006) Epoch: [10][2790/5809] Time 0.246 (0.387) Data 0.185 (0.314) Loss 2.6861 (2.7066) Prec@1 33.594 (34.731) Prec@5 64.453 (65.006) Epoch: [10][2800/5809] Time 0.177 (0.387) Data 0.110 (0.314) Loss 2.7336 (2.7065) Prec@1 34.766 (34.734) Prec@5 66.406 (65.009) Epoch: [10][2810/5809] Time 0.134 (0.387) Data 0.001 (0.314) Loss 2.6467 (2.7065) Prec@1 33.203 (34.734) Prec@5 68.359 (65.009) Epoch: [10][2820/5809] Time 0.228 (0.387) Data 0.167 (0.314) Loss 2.4680 (2.7063) Prec@1 39.844 (34.736) Prec@5 67.578 (65.012) Epoch: [10][2830/5809] Time 0.184 (0.387) Data 0.124 (0.313) Loss 2.6907 (2.7064) Prec@1 34.766 (34.732) Prec@5 69.531 (65.012) Epoch: [10][2840/5809] Time 0.637 (0.387) Data 0.577 (0.313) Loss 2.4885 (2.7066) Prec@1 41.797 (34.736) Prec@5 74.609 (65.010) Epoch: [10][2850/5809] Time 0.134 (0.386) Data 0.001 (0.313) Loss 2.6234 (2.7064) Prec@1 35.547 (34.738) Prec@5 64.453 (65.012) Epoch: [10][2860/5809] Time 0.571 (0.386) Data 0.510 (0.313) Loss 2.8517 (2.7065) Prec@1 28.906 (34.732) Prec@5 61.719 (65.012) Epoch: [10][2870/5809] Time 0.132 (0.386) Data 0.060 (0.313) Loss 2.7774 (2.7063) Prec@1 34.766 (34.736) Prec@5 66.016 (65.016) Epoch: [10][2880/5809] Time 0.726 (0.386) Data 0.665 (0.313) Loss 2.6542 (2.7064) Prec@1 39.062 (34.734) Prec@5 66.797 (65.013) Epoch: [10][2890/5809] Time 0.370 (0.386) Data 0.309 (0.312) Loss 2.5939 (2.7064) Prec@1 37.891 (34.733) Prec@5 67.188 (65.012) Epoch: [10][2900/5809] Time 0.499 (0.386) Data 0.440 (0.312) Loss 2.6570 (2.7065) Prec@1 34.766 (34.731) Prec@5 63.672 (65.012) Epoch: [10][2910/5809] Time 0.738 (0.386) Data 0.677 (0.312) Loss 2.7255 (2.7067) Prec@1 31.250 (34.728) Prec@5 64.062 (65.005) Epoch: [10][2920/5809] Time 0.134 (0.385) Data 0.063 (0.312) Loss 2.8955 (2.7067) Prec@1 30.078 (34.728) Prec@5 59.766 (65.006) Epoch: [10][2930/5809] Time 0.762 (0.385) Data 0.694 (0.312) Loss 2.6768 (2.7068) Prec@1 37.500 (34.726) Prec@5 66.016 (65.003) Epoch: [10][2940/5809] Time 0.140 (0.385) Data 0.062 (0.312) Loss 2.6140 (2.7066) Prec@1 36.328 (34.725) Prec@5 65.625 (65.009) Epoch: [10][2950/5809] Time 0.917 (0.385) Data 0.857 (0.312) Loss 2.7594 (2.7067) Prec@1 33.203 (34.724) Prec@5 62.891 (65.006) Epoch: [10][2960/5809] Time 0.271 (0.385) Data 0.211 (0.311) Loss 2.5916 (2.7066) Prec@1 34.375 (34.728) Prec@5 68.359 (65.007) Epoch: [10][2970/5809] Time 0.722 (0.385) Data 0.656 (0.311) Loss 2.4215 (2.7065) Prec@1 36.719 (34.728) Prec@5 73.828 (65.010) Epoch: [10][2980/5809] Time 0.133 (0.384) Data 0.057 (0.311) Loss 2.8734 (2.7068) Prec@1 34.766 (34.725) Prec@5 55.859 (65.002) Epoch: [10][2990/5809] Time 0.800 (0.384) Data 0.742 (0.311) Loss 2.6920 (2.7067) Prec@1 32.031 (34.726) Prec@5 62.500 (65.002) Epoch: [10][3000/5809] Time 0.134 (0.384) Data 0.001 (0.311) Loss 2.7998 (2.7070) Prec@1 32.812 (34.725) Prec@5 61.719 (64.997) Epoch: [10][3010/5809] Time 0.810 (0.384) Data 0.750 (0.310) Loss 2.8465 (2.7070) Prec@1 30.469 (34.725) Prec@5 60.938 (64.995) Epoch: [10][3020/5809] Time 0.274 (0.384) Data 0.213 (0.310) Loss 2.6968 (2.7067) Prec@1 37.109 (34.733) Prec@5 64.062 (64.999) Epoch: [10][3030/5809] Time 0.778 (0.384) Data 0.719 (0.310) Loss 2.7812 (2.7068) Prec@1 36.328 (34.728) Prec@5 64.062 (64.993) Epoch: [10][3040/5809] Time 0.134 (0.384) Data 0.052 (0.310) Loss 2.8682 (2.7069) Prec@1 30.078 (34.723) Prec@5 62.500 (64.991) Epoch: [10][3050/5809] Time 0.658 (0.383) Data 0.599 (0.310) Loss 2.7113 (2.7071) Prec@1 33.203 (34.721) Prec@5 65.234 (64.991) Epoch: [10][3060/5809] Time 0.136 (0.383) Data 0.067 (0.310) Loss 2.7284 (2.7072) Prec@1 32.422 (34.720) Prec@5 64.453 (64.985) Epoch: [10][3070/5809] Time 0.587 (0.383) Data 0.526 (0.310) Loss 2.8965 (2.7072) Prec@1 32.031 (34.720) Prec@5 60.938 (64.986) Epoch: [10][3080/5809] Time 0.133 (0.383) Data 0.001 (0.309) Loss 2.4863 (2.7072) Prec@1 41.016 (34.724) Prec@5 70.312 (64.986) Epoch: [10][3090/5809] Time 0.482 (0.383) Data 0.422 (0.309) Loss 2.5649 (2.7072) Prec@1 40.234 (34.728) Prec@5 66.797 (64.987) Epoch: [10][3100/5809] Time 0.188 (0.383) Data 0.127 (0.309) Loss 2.6233 (2.7070) Prec@1 34.766 (34.730) Prec@5 63.281 (64.990) Epoch: [10][3110/5809] Time 0.314 (0.382) Data 0.253 (0.309) Loss 2.4825 (2.7068) Prec@1 39.062 (34.733) Prec@5 67.578 (64.993) Epoch: [10][3120/5809] Time 0.134 (0.382) Data 0.001 (0.309) Loss 2.5398 (2.7065) Prec@1 37.500 (34.737) Prec@5 69.922 (64.999) Epoch: [10][3130/5809] Time 0.369 (0.382) Data 0.309 (0.309) Loss 2.6907 (2.7066) Prec@1 36.719 (34.732) Prec@5 66.797 (65.001) Epoch: [10][3140/5809] Time 0.133 (0.382) Data 0.001 (0.309) Loss 2.8292 (2.7067) Prec@1 35.547 (34.733) Prec@5 64.453 (65.002) Epoch: [10][3150/5809] Time 0.254 (0.382) Data 0.194 (0.308) Loss 2.7735 (2.7067) Prec@1 35.156 (34.736) Prec@5 66.406 (65.003) Epoch: [10][3160/5809] Time 0.132 (0.382) Data 0.051 (0.308) Loss 2.7821 (2.7068) Prec@1 36.328 (34.735) Prec@5 64.844 (65.000) Epoch: [10][3170/5809] Time 0.189 (0.382) Data 0.128 (0.308) Loss 2.6261 (2.7068) Prec@1 32.422 (34.735) Prec@5 65.234 (65.002) Epoch: [10][3180/5809] Time 0.130 (0.381) Data 0.043 (0.308) Loss 2.5547 (2.7065) Prec@1 39.844 (34.742) Prec@5 67.578 (65.005) Epoch: [10][3190/5809] Time 0.509 (0.381) Data 0.443 (0.308) Loss 2.7365 (2.7064) Prec@1 34.766 (34.741) Prec@5 64.453 (65.006) Epoch: [10][3200/5809] Time 0.154 (0.381) Data 0.093 (0.308) Loss 2.7119 (2.7065) Prec@1 38.672 (34.737) Prec@5 63.281 (65.001) Epoch: [10][3210/5809] Time 0.338 (0.381) Data 0.278 (0.308) Loss 2.7774 (2.7064) Prec@1 32.812 (34.739) Prec@5 65.234 (65.003) Epoch: [10][3220/5809] Time 0.139 (0.381) Data 0.079 (0.307) Loss 2.6207 (2.7066) Prec@1 35.938 (34.740) Prec@5 68.359 (65.000) Epoch: [10][3230/5809] Time 0.506 (0.381) Data 0.446 (0.308) Loss 2.5837 (2.7066) Prec@1 35.156 (34.740) Prec@5 67.188 (65.001) Epoch: [10][3240/5809] Time 0.133 (0.381) Data 0.001 (0.307) Loss 2.7979 (2.7065) Prec@1 33.984 (34.740) Prec@5 64.453 (65.003) Epoch: [10][3250/5809] Time 0.559 (0.381) Data 0.499 (0.307) Loss 2.5850 (2.7063) Prec@1 37.500 (34.744) Prec@5 66.406 (65.010) Epoch: [10][3260/5809] Time 0.134 (0.380) Data 0.069 (0.307) Loss 2.6491 (2.7063) Prec@1 39.453 (34.752) Prec@5 69.531 (65.012) Epoch: [10][3270/5809] Time 0.597 (0.380) Data 0.537 (0.307) Loss 2.7642 (2.7062) Prec@1 34.766 (34.755) Prec@5 66.016 (65.016) Epoch: [10][3280/5809] Time 0.126 (0.380) Data 0.047 (0.307) Loss 2.6692 (2.7062) Prec@1 34.766 (34.756) Prec@5 67.969 (65.017) Epoch: [10][3290/5809] Time 0.326 (0.380) Data 0.267 (0.307) Loss 2.8165 (2.7060) Prec@1 35.547 (34.756) Prec@5 62.500 (65.022) Epoch: [10][3300/5809] Time 0.134 (0.380) Data 0.001 (0.306) Loss 2.8837 (2.7061) Prec@1 32.031 (34.757) Prec@5 62.891 (65.018) Epoch: [10][3310/5809] Time 0.614 (0.380) Data 0.547 (0.306) Loss 2.9193 (2.7063) Prec@1 30.469 (34.751) Prec@5 60.156 (65.014) Epoch: [10][3320/5809] Time 0.132 (0.380) Data 0.001 (0.306) Loss 2.8151 (2.7062) Prec@1 34.375 (34.751) Prec@5 62.500 (65.016) Epoch: [10][3330/5809] Time 0.650 (0.380) Data 0.590 (0.306) Loss 2.7104 (2.7063) Prec@1 35.156 (34.748) Prec@5 64.844 (65.016) Epoch: [10][3340/5809] Time 0.402 (0.380) Data 0.341 (0.306) Loss 2.8908 (2.7063) Prec@1 31.641 (34.751) Prec@5 61.328 (65.017) Epoch: [10][3350/5809] Time 0.479 (0.379) Data 0.418 (0.306) Loss 2.7679 (2.7063) Prec@1 33.203 (34.752) Prec@5 64.844 (65.016) Epoch: [10][3360/5809] Time 0.301 (0.379) Data 0.240 (0.306) Loss 3.0885 (2.7064) Prec@1 28.516 (34.750) Prec@5 61.719 (65.017) Epoch: [10][3370/5809] Time 0.498 (0.379) Data 0.437 (0.306) Loss 2.6952 (2.7062) Prec@1 34.375 (34.750) Prec@5 64.844 (65.022) Epoch: [10][3380/5809] Time 0.477 (0.379) Data 0.417 (0.306) Loss 2.8136 (2.7063) Prec@1 32.031 (34.749) Prec@5 63.672 (65.022) Epoch: [10][3390/5809] Time 0.774 (0.379) Data 0.714 (0.305) Loss 2.5490 (2.7061) Prec@1 37.109 (34.751) Prec@5 65.234 (65.022) Epoch: [10][3400/5809] Time 0.217 (0.379) Data 0.157 (0.305) Loss 2.5234 (2.7060) Prec@1 36.719 (34.750) Prec@5 68.750 (65.022) Epoch: [10][3410/5809] Time 0.454 (0.379) Data 0.394 (0.305) Loss 2.7090 (2.7059) Prec@1 32.422 (34.753) Prec@5 63.672 (65.022) Epoch: [10][3420/5809] Time 0.285 (0.379) Data 0.224 (0.305) Loss 2.6908 (2.7059) Prec@1 34.375 (34.756) Prec@5 61.719 (65.023) Epoch: [10][3430/5809] Time 0.353 (0.378) Data 0.294 (0.305) Loss 2.5890 (2.7059) Prec@1 32.422 (34.754) Prec@5 66.406 (65.021) Epoch: [10][3440/5809] Time 0.211 (0.378) Data 0.151 (0.305) Loss 2.5606 (2.7057) Prec@1 37.891 (34.757) Prec@5 68.750 (65.025) Epoch: [10][3450/5809] Time 0.493 (0.378) Data 0.432 (0.305) Loss 2.5056 (2.7056) Prec@1 36.719 (34.762) Prec@5 66.016 (65.026) Epoch: [10][3460/5809] Time 0.289 (0.378) Data 0.229 (0.305) Loss 2.7405 (2.7057) Prec@1 32.031 (34.759) Prec@5 65.625 (65.025) Epoch: [10][3470/5809] Time 0.582 (0.378) Data 0.521 (0.305) Loss 2.4995 (2.7056) Prec@1 37.500 (34.763) Prec@5 70.312 (65.030) Epoch: [10][3480/5809] Time 0.131 (0.378) Data 0.047 (0.305) Loss 2.8759 (2.7056) Prec@1 33.984 (34.762) Prec@5 62.500 (65.028) Epoch: [10][3490/5809] Time 0.755 (0.378) Data 0.694 (0.305) Loss 2.7285 (2.7057) Prec@1 35.938 (34.760) Prec@5 61.719 (65.025) Epoch: [10][3500/5809] Time 0.207 (0.378) Data 0.148 (0.304) Loss 2.5431 (2.7057) Prec@1 37.109 (34.761) Prec@5 67.969 (65.023) Epoch: [10][3510/5809] Time 0.515 (0.378) Data 0.454 (0.304) Loss 2.9515 (2.7059) Prec@1 29.297 (34.758) Prec@5 60.156 (65.022) Epoch: [10][3520/5809] Time 0.195 (0.377) Data 0.136 (0.304) Loss 2.7366 (2.7058) Prec@1 36.719 (34.756) Prec@5 66.797 (65.023) Epoch: [10][3530/5809] Time 0.371 (0.377) Data 0.310 (0.304) Loss 2.8804 (2.7059) Prec@1 33.984 (34.757) Prec@5 60.547 (65.022) Epoch: [10][3540/5809] Time 0.286 (0.377) Data 0.224 (0.304) Loss 2.6052 (2.7057) Prec@1 37.500 (34.758) Prec@5 67.188 (65.026) Epoch: [10][3550/5809] Time 0.603 (0.377) Data 0.542 (0.304) Loss 2.6786 (2.7057) Prec@1 34.375 (34.758) Prec@5 64.062 (65.024) Epoch: [10][3560/5809] Time 0.207 (0.377) Data 0.147 (0.304) Loss 2.6592 (2.7057) Prec@1 39.062 (34.759) Prec@5 64.062 (65.025) Epoch: [10][3570/5809] Time 0.417 (0.377) Data 0.351 (0.304) Loss 2.6292 (2.7056) Prec@1 37.891 (34.763) Prec@5 66.016 (65.027) Epoch: [10][3580/5809] Time 0.312 (0.377) Data 0.251 (0.304) Loss 2.6625 (2.7056) Prec@1 33.594 (34.766) Prec@5 66.797 (65.025) Epoch: [10][3590/5809] Time 0.185 (0.377) Data 0.124 (0.304) Loss 2.6556 (2.7055) Prec@1 33.203 (34.765) Prec@5 64.453 (65.022) Epoch: [10][3600/5809] Time 0.134 (0.377) Data 0.001 (0.304) Loss 2.8212 (2.7056) Prec@1 30.469 (34.765) Prec@5 62.500 (65.019) Epoch: [10][3610/5809] Time 0.402 (0.377) Data 0.343 (0.304) Loss 2.6339 (2.7056) Prec@1 35.547 (34.766) Prec@5 66.797 (65.019) Epoch: [10][3620/5809] Time 0.133 (0.376) Data 0.051 (0.303) Loss 2.7789 (2.7055) Prec@1 30.859 (34.765) Prec@5 64.062 (65.019) Epoch: [10][3630/5809] Time 0.447 (0.376) Data 0.387 (0.303) Loss 2.7467 (2.7056) Prec@1 33.203 (34.760) Prec@5 60.547 (65.018) Epoch: [10][3640/5809] Time 0.133 (0.376) Data 0.051 (0.303) Loss 2.8503 (2.7057) Prec@1 27.344 (34.755) Prec@5 63.672 (65.015) Epoch: [10][3650/5809] Time 0.558 (0.376) Data 0.498 (0.303) Loss 2.8233 (2.7059) Prec@1 37.109 (34.749) Prec@5 64.062 (65.010) Epoch: [10][3660/5809] Time 0.185 (0.376) Data 0.125 (0.303) Loss 2.6962 (2.7060) Prec@1 32.422 (34.746) Prec@5 62.891 (65.008) Epoch: [10][3670/5809] Time 0.958 (0.376) Data 0.898 (0.303) Loss 2.7578 (2.7061) Prec@1 35.547 (34.744) Prec@5 60.156 (65.008) Epoch: [10][3680/5809] Time 0.171 (0.376) Data 0.111 (0.303) Loss 2.7359 (2.7059) Prec@1 32.812 (34.744) Prec@5 62.109 (65.010) Epoch: [10][3690/5809] Time 0.864 (0.376) Data 0.805 (0.303) Loss 2.8700 (2.7060) Prec@1 29.297 (34.741) Prec@5 64.062 (65.007) Epoch: [10][3700/5809] Time 0.173 (0.376) Data 0.113 (0.303) Loss 2.7919 (2.7060) Prec@1 34.375 (34.741) Prec@5 62.891 (65.008) Epoch: [10][3710/5809] Time 0.626 (0.376) Data 0.568 (0.303) Loss 2.6936 (2.7061) Prec@1 35.938 (34.740) Prec@5 67.969 (65.007) Epoch: [10][3720/5809] Time 0.324 (0.376) Data 0.265 (0.302) Loss 2.5553 (2.7060) Prec@1 36.719 (34.743) Prec@5 63.672 (65.011) Epoch: [10][3730/5809] Time 0.363 (0.375) Data 0.302 (0.302) Loss 2.8301 (2.7060) Prec@1 30.469 (34.743) Prec@5 64.844 (65.011) Epoch: [10][3740/5809] Time 0.447 (0.375) Data 0.387 (0.302) Loss 2.8123 (2.7060) Prec@1 30.859 (34.742) Prec@5 62.500 (65.010) Epoch: [10][3750/5809] Time 0.320 (0.375) Data 0.260 (0.302) Loss 2.9543 (2.7060) Prec@1 31.250 (34.743) Prec@5 58.594 (65.011) Epoch: [10][3760/5809] Time 0.679 (0.375) Data 0.618 (0.302) Loss 2.4696 (2.7060) Prec@1 40.625 (34.740) Prec@5 66.406 (65.011) Epoch: [10][3770/5809] Time 0.445 (0.375) Data 0.378 (0.302) Loss 2.5558 (2.7061) Prec@1 37.500 (34.739) Prec@5 69.922 (65.011) Epoch: [10][3780/5809] Time 0.700 (0.375) Data 0.639 (0.302) Loss 2.4754 (2.7058) Prec@1 40.625 (34.739) Prec@5 72.266 (65.016) Epoch: [10][3790/5809] Time 0.320 (0.375) Data 0.261 (0.302) Loss 2.7325 (2.7060) Prec@1 33.984 (34.737) Prec@5 64.062 (65.012) Epoch: [10][3800/5809] Time 0.690 (0.375) Data 0.622 (0.302) Loss 2.7163 (2.7059) Prec@1 34.766 (34.736) Prec@5 62.500 (65.013) Epoch: [10][3810/5809] Time 0.399 (0.375) Data 0.334 (0.301) Loss 2.5371 (2.7058) Prec@1 37.109 (34.740) Prec@5 65.625 (65.015) Epoch: [10][3820/5809] Time 0.846 (0.375) Data 0.786 (0.301) Loss 2.5783 (2.7058) Prec@1 36.328 (34.742) Prec@5 67.969 (65.015) Epoch: [10][3830/5809] Time 0.338 (0.374) Data 0.279 (0.301) Loss 2.7108 (2.7059) Prec@1 35.547 (34.740) Prec@5 67.188 (65.013) Epoch: [10][3840/5809] Time 0.787 (0.374) Data 0.726 (0.301) Loss 2.7169 (2.7061) Prec@1 36.719 (34.737) Prec@5 67.188 (65.007) Epoch: [10][3850/5809] Time 0.133 (0.374) Data 0.001 (0.301) Loss 2.7834 (2.7062) Prec@1 29.297 (34.732) Prec@5 61.719 (65.003) Epoch: [10][3860/5809] Time 0.701 (0.374) Data 0.641 (0.301) Loss 2.6247 (2.7062) Prec@1 38.281 (34.730) Prec@5 68.359 (65.002) Epoch: [10][3870/5809] Time 0.238 (0.374) Data 0.179 (0.301) Loss 2.8907 (2.7064) Prec@1 30.078 (34.729) Prec@5 60.938 (64.998) Epoch: [10][3880/5809] Time 0.261 (0.374) Data 0.200 (0.301) Loss 2.7605 (2.7063) Prec@1 36.328 (34.732) Prec@5 64.844 (65.004) Epoch: [10][3890/5809] Time 0.186 (0.374) Data 0.128 (0.301) Loss 2.6907 (2.7062) Prec@1 36.328 (34.731) Prec@5 65.625 (65.006) Epoch: [10][3900/5809] Time 0.213 (0.374) Data 0.152 (0.301) Loss 2.5186 (2.7061) Prec@1 37.891 (34.733) Prec@5 67.578 (65.007) Epoch: [10][3910/5809] Time 0.132 (0.374) Data 0.007 (0.301) Loss 2.8396 (2.7062) Prec@1 29.297 (34.733) Prec@5 63.281 (65.006) Epoch: [10][3920/5809] Time 0.556 (0.374) Data 0.495 (0.301) Loss 2.8575 (2.7061) Prec@1 28.516 (34.734) Prec@5 61.719 (65.008) Epoch: [10][3930/5809] Time 0.135 (0.374) Data 0.001 (0.300) Loss 2.7945 (2.7062) Prec@1 33.594 (34.730) Prec@5 61.719 (65.008) Epoch: [10][3940/5809] Time 0.749 (0.374) Data 0.678 (0.300) Loss 2.6437 (2.7061) Prec@1 34.766 (34.732) Prec@5 66.016 (65.010) Epoch: [10][3950/5809] Time 0.134 (0.373) Data 0.001 (0.300) Loss 2.5886 (2.7061) Prec@1 37.891 (34.733) Prec@5 68.359 (65.013) Epoch: [10][3960/5809] Time 0.539 (0.373) Data 0.479 (0.300) Loss 2.8474 (2.7062) Prec@1 33.203 (34.733) Prec@5 61.328 (65.008) Epoch: [10][3970/5809] Time 0.134 (0.373) Data 0.066 (0.300) Loss 2.6346 (2.7063) Prec@1 39.453 (34.733) Prec@5 67.188 (65.008) Epoch: [10][3980/5809] Time 0.849 (0.373) Data 0.789 (0.300) Loss 2.5580 (2.7062) Prec@1 33.203 (34.732) Prec@5 73.438 (65.010) Epoch: [10][3990/5809] Time 0.134 (0.373) Data 0.001 (0.300) Loss 2.4531 (2.7062) Prec@1 40.625 (34.733) Prec@5 67.969 (65.011) Epoch: [10][4000/5809] Time 0.847 (0.373) Data 0.780 (0.300) Loss 2.7610 (2.7061) Prec@1 35.547 (34.737) Prec@5 65.234 (65.016) Epoch: [10][4010/5809] Time 0.133 (0.373) Data 0.001 (0.299) Loss 2.7756 (2.7062) Prec@1 34.375 (34.738) Prec@5 63.281 (65.011) Epoch: [10][4020/5809] Time 0.906 (0.373) Data 0.838 (0.299) Loss 2.6100 (2.7063) Prec@1 35.938 (34.738) Prec@5 68.750 (65.011) Epoch: [10][4030/5809] Time 0.140 (0.373) Data 0.046 (0.299) Loss 2.6714 (2.7063) Prec@1 33.203 (34.741) Prec@5 67.188 (65.010) Epoch: [10][4040/5809] Time 0.776 (0.373) Data 0.716 (0.299) Loss 2.6200 (2.7064) Prec@1 37.891 (34.738) Prec@5 70.312 (65.011) Epoch: [10][4050/5809] Time 0.163 (0.372) Data 0.096 (0.299) Loss 2.6042 (2.7063) Prec@1 37.500 (34.738) Prec@5 66.016 (65.011) Epoch: [10][4060/5809] Time 0.854 (0.372) Data 0.794 (0.299) Loss 2.7669 (2.7062) Prec@1 33.203 (34.741) Prec@5 62.109 (65.010) Epoch: [10][4070/5809] Time 0.133 (0.372) Data 0.054 (0.299) Loss 2.8098 (2.7062) Prec@1 32.422 (34.741) Prec@5 64.844 (65.010) Epoch: [10][4080/5809] Time 0.733 (0.372) Data 0.673 (0.299) Loss 2.7845 (2.7062) Prec@1 33.203 (34.743) Prec@5 65.234 (65.012) Epoch: [10][4090/5809] Time 0.133 (0.372) Data 0.001 (0.299) Loss 2.6795 (2.7061) Prec@1 36.328 (34.742) Prec@5 67.188 (65.012) Epoch: [10][4100/5809] Time 0.724 (0.372) Data 0.666 (0.298) Loss 2.5343 (2.7061) Prec@1 38.281 (34.744) Prec@5 64.844 (65.012) Epoch: [10][4110/5809] Time 0.133 (0.372) Data 0.001 (0.298) Loss 2.6809 (2.7060) Prec@1 36.328 (34.745) Prec@5 67.188 (65.017) Epoch: [10][4120/5809] Time 0.814 (0.372) Data 0.753 (0.298) Loss 2.6699 (2.7059) Prec@1 38.281 (34.747) Prec@5 62.891 (65.017) Epoch: [10][4130/5809] Time 0.143 (0.372) Data 0.001 (0.298) Loss 2.6725 (2.7058) Prec@1 37.500 (34.749) Prec@5 67.578 (65.018) Epoch: [10][4140/5809] Time 0.770 (0.372) Data 0.710 (0.298) Loss 2.7650 (2.7059) Prec@1 33.594 (34.748) Prec@5 66.797 (65.018) Epoch: [10][4150/5809] Time 0.142 (0.372) Data 0.001 (0.298) Loss 2.6988 (2.7058) Prec@1 31.641 (34.749) Prec@5 66.797 (65.018) Epoch: [10][4160/5809] Time 0.884 (0.372) Data 0.819 (0.298) Loss 2.7259 (2.7058) Prec@1 37.109 (34.751) Prec@5 65.234 (65.019) Epoch: [10][4170/5809] Time 0.133 (0.372) Data 0.001 (0.298) Loss 2.6727 (2.7058) Prec@1 34.375 (34.750) Prec@5 66.406 (65.017) Epoch: [10][4180/5809] Time 1.006 (0.372) Data 0.948 (0.298) Loss 2.9811 (2.7058) Prec@1 31.641 (34.753) Prec@5 57.031 (65.015) Epoch: [10][4190/5809] Time 0.127 (0.371) Data 0.054 (0.298) Loss 2.6964 (2.7059) Prec@1 32.812 (34.751) Prec@5 64.453 (65.013) Epoch: [10][4200/5809] Time 0.774 (0.371) Data 0.707 (0.298) Loss 2.7440 (2.7058) Prec@1 34.375 (34.753) Prec@5 64.453 (65.016) Epoch: [10][4210/5809] Time 0.131 (0.371) Data 0.042 (0.297) Loss 2.6227 (2.7058) Prec@1 33.594 (34.752) Prec@5 66.406 (65.015) Epoch: [10][4220/5809] Time 0.704 (0.371) Data 0.645 (0.297) Loss 2.6742 (2.7057) Prec@1 33.594 (34.752) Prec@5 65.234 (65.014) Epoch: [10][4230/5809] Time 0.140 (0.371) Data 0.001 (0.297) Loss 2.6221 (2.7057) Prec@1 39.453 (34.754) Prec@5 66.406 (65.018) Epoch: [10][4240/5809] Time 1.055 (0.371) Data 0.995 (0.297) Loss 2.6489 (2.7057) Prec@1 38.281 (34.754) Prec@5 70.312 (65.017) Epoch: [10][4250/5809] Time 0.132 (0.371) Data 0.054 (0.297) Loss 2.7188 (2.7059) Prec@1 38.281 (34.751) Prec@5 65.625 (65.014) Epoch: [10][4260/5809] Time 0.782 (0.371) Data 0.722 (0.297) Loss 2.6944 (2.7059) Prec@1 39.844 (34.754) Prec@5 65.625 (65.015) Epoch: [10][4270/5809] Time 0.139 (0.371) Data 0.001 (0.297) Loss 2.5173 (2.7057) Prec@1 36.328 (34.753) Prec@5 69.141 (65.018) Epoch: [10][4280/5809] Time 0.535 (0.371) Data 0.475 (0.297) Loss 2.5734 (2.7056) Prec@1 39.062 (34.760) Prec@5 64.062 (65.019) Epoch: [10][4290/5809] Time 0.133 (0.371) Data 0.052 (0.297) Loss 2.6499 (2.7055) Prec@1 34.375 (34.760) Prec@5 68.359 (65.023) Epoch: [10][4300/5809] Time 0.650 (0.371) Data 0.589 (0.297) Loss 2.7492 (2.7056) Prec@1 36.719 (34.759) Prec@5 62.500 (65.018) Epoch: [10][4310/5809] Time 0.454 (0.371) Data 0.394 (0.297) Loss 2.9415 (2.7056) Prec@1 33.203 (34.761) Prec@5 60.547 (65.020) Epoch: [10][4320/5809] Time 0.497 (0.370) Data 0.437 (0.297) Loss 2.7964 (2.7056) Prec@1 33.984 (34.761) Prec@5 62.500 (65.018) Epoch: [10][4330/5809] Time 0.477 (0.370) Data 0.419 (0.297) Loss 2.7421 (2.7056) Prec@1 34.375 (34.762) Prec@5 65.234 (65.018) Epoch: [10][4340/5809] Time 0.365 (0.370) Data 0.306 (0.296) Loss 2.6329 (2.7057) Prec@1 35.547 (34.764) Prec@5 65.234 (65.016) Epoch: [10][4350/5809] Time 0.665 (0.370) Data 0.605 (0.296) Loss 2.5881 (2.7059) Prec@1 37.500 (34.761) Prec@5 65.234 (65.012) Epoch: [10][4360/5809] Time 0.135 (0.370) Data 0.001 (0.296) Loss 2.6417 (2.7059) Prec@1 37.109 (34.762) Prec@5 67.578 (65.011) Epoch: [10][4370/5809] Time 0.882 (0.370) Data 0.821 (0.296) Loss 2.5979 (2.7059) Prec@1 39.453 (34.763) Prec@5 67.578 (65.011) Epoch: [10][4380/5809] Time 0.252 (0.370) Data 0.193 (0.296) Loss 2.6829 (2.7059) Prec@1 35.547 (34.763) Prec@5 65.625 (65.011) Epoch: [10][4390/5809] Time 0.736 (0.370) Data 0.677 (0.296) Loss 2.4920 (2.7060) Prec@1 38.281 (34.757) Prec@5 70.703 (65.011) Epoch: [10][4400/5809] Time 0.146 (0.370) Data 0.086 (0.296) Loss 2.7904 (2.7061) Prec@1 35.156 (34.756) Prec@5 62.500 (65.011) Epoch: [10][4410/5809] Time 0.901 (0.370) Data 0.833 (0.296) Loss 2.6423 (2.7061) Prec@1 33.594 (34.754) Prec@5 66.406 (65.011) Epoch: [10][4420/5809] Time 0.134 (0.370) Data 0.001 (0.296) Loss 2.6636 (2.7061) Prec@1 36.328 (34.754) Prec@5 64.453 (65.012) Epoch: [10][4430/5809] Time 0.845 (0.370) Data 0.779 (0.296) Loss 2.6969 (2.7061) Prec@1 32.031 (34.754) Prec@5 64.062 (65.012) Epoch: [10][4440/5809] Time 0.157 (0.370) Data 0.099 (0.296) Loss 2.7526 (2.7059) Prec@1 33.203 (34.759) Prec@5 66.016 (65.014) Epoch: [10][4450/5809] Time 0.964 (0.370) Data 0.904 (0.296) Loss 2.6750 (2.7058) Prec@1 33.594 (34.761) Prec@5 67.578 (65.015) Epoch: [10][4460/5809] Time 0.141 (0.369) Data 0.005 (0.296) Loss 2.8808 (2.7059) Prec@1 35.547 (34.763) Prec@5 63.281 (65.015) Epoch: [10][4470/5809] Time 0.902 (0.369) Data 0.842 (0.296) Loss 2.9380 (2.7059) Prec@1 30.859 (34.762) Prec@5 61.719 (65.017) Epoch: [10][4480/5809] Time 0.141 (0.369) Data 0.001 (0.295) Loss 2.7904 (2.7061) Prec@1 31.641 (34.760) Prec@5 61.328 (65.014) Epoch: [10][4490/5809] Time 0.887 (0.369) Data 0.827 (0.295) Loss 2.8951 (2.7063) Prec@1 32.812 (34.754) Prec@5 61.328 (65.009) Epoch: [10][4500/5809] Time 0.163 (0.369) Data 0.104 (0.295) Loss 2.5935 (2.7063) Prec@1 34.766 (34.754) Prec@5 68.750 (65.011) Epoch: [10][4510/5809] Time 1.100 (0.369) Data 1.034 (0.295) Loss 2.8195 (2.7064) Prec@1 33.203 (34.752) Prec@5 61.719 (65.008) Epoch: [10][4520/5809] Time 0.125 (0.369) Data 0.001 (0.295) Loss 2.6963 (2.7064) Prec@1 31.641 (34.750) Prec@5 69.141 (65.009) Epoch: [10][4530/5809] Time 1.013 (0.369) Data 0.947 (0.295) Loss 2.8286 (2.7063) Prec@1 32.422 (34.752) Prec@5 62.109 (65.010) Epoch: [10][4540/5809] Time 0.131 (0.369) Data 0.001 (0.295) Loss 2.7469 (2.7064) Prec@1 38.672 (34.750) Prec@5 62.109 (65.006) Epoch: [10][4550/5809] Time 0.675 (0.369) Data 0.615 (0.295) Loss 2.8249 (2.7066) Prec@1 30.859 (34.748) Prec@5 62.891 (65.005) Epoch: [10][4560/5809] Time 0.175 (0.369) Data 0.115 (0.294) Loss 2.7158 (2.7066) Prec@1 37.109 (34.747) Prec@5 64.844 (65.005) Epoch: [10][4570/5809] Time 0.529 (0.369) Data 0.470 (0.294) Loss 2.7592 (2.7064) Prec@1 33.203 (34.751) Prec@5 64.062 (65.006) Epoch: [10][4580/5809] Time 0.179 (0.369) Data 0.110 (0.294) Loss 2.7035 (2.7064) Prec@1 36.328 (34.752) Prec@5 63.281 (65.005) Epoch: [10][4590/5809] Time 0.498 (0.369) Data 0.437 (0.294) Loss 2.7627 (2.7065) Prec@1 37.500 (34.750) Prec@5 62.109 (65.002) Epoch: [10][4600/5809] Time 0.399 (0.369) Data 0.334 (0.294) Loss 2.7582 (2.7064) Prec@1 34.766 (34.756) Prec@5 64.453 (65.005) Epoch: [10][4610/5809] Time 0.397 (0.368) Data 0.336 (0.294) Loss 2.6289 (2.7064) Prec@1 34.375 (34.755) Prec@5 64.062 (65.006) Epoch: [10][4620/5809] Time 0.312 (0.368) Data 0.251 (0.294) Loss 2.6381 (2.7063) Prec@1 34.766 (34.754) Prec@5 64.453 (65.006) Epoch: [10][4630/5809] Time 0.133 (0.368) Data 0.062 (0.294) Loss 2.5017 (2.7061) Prec@1 38.672 (34.757) Prec@5 68.359 (65.009) Epoch: [10][4640/5809] Time 0.168 (0.368) Data 0.107 (0.294) Loss 2.8561 (2.7060) Prec@1 31.250 (34.758) Prec@5 60.547 (65.010) Epoch: [10][4650/5809] Time 0.143 (0.368) Data 0.082 (0.294) Loss 2.6980 (2.7061) Prec@1 31.641 (34.758) Prec@5 65.234 (65.010) Epoch: [10][4660/5809] Time 0.260 (0.368) Data 0.200 (0.294) Loss 2.7686 (2.7063) Prec@1 31.250 (34.754) Prec@5 64.844 (65.005) Epoch: [10][4670/5809] Time 0.132 (0.368) Data 0.053 (0.294) Loss 2.9139 (2.7062) Prec@1 37.500 (34.757) Prec@5 60.938 (65.006) Epoch: [10][4680/5809] Time 0.288 (0.368) Data 0.227 (0.294) Loss 2.5792 (2.7062) Prec@1 35.547 (34.758) Prec@5 68.750 (65.007) Epoch: [10][4690/5809] Time 0.134 (0.368) Data 0.004 (0.294) Loss 2.7080 (2.7061) Prec@1 35.938 (34.758) Prec@5 64.453 (65.007) Epoch: [10][4700/5809] Time 0.246 (0.368) Data 0.186 (0.294) Loss 2.6458 (2.7061) Prec@1 35.938 (34.761) Prec@5 67.969 (65.007) Epoch: [10][4710/5809] Time 0.134 (0.368) Data 0.001 (0.294) Loss 2.6738 (2.7062) Prec@1 36.328 (34.757) Prec@5 66.406 (65.003) Epoch: [10][4720/5809] Time 0.319 (0.368) Data 0.259 (0.294) Loss 2.7366 (2.7061) Prec@1 35.547 (34.760) Prec@5 66.797 (65.006) Epoch: [10][4730/5809] Time 0.165 (0.368) Data 0.106 (0.293) Loss 2.6045 (2.7063) Prec@1 36.719 (34.760) Prec@5 64.844 (65.004) Epoch: [10][4740/5809] Time 0.308 (0.368) Data 0.249 (0.293) Loss 2.8084 (2.7062) Prec@1 32.031 (34.761) Prec@5 62.891 (65.003) Epoch: [10][4750/5809] Time 0.275 (0.368) Data 0.216 (0.293) Loss 2.7638 (2.7064) Prec@1 34.766 (34.758) Prec@5 62.891 (64.998) Epoch: [10][4760/5809] Time 0.246 (0.368) Data 0.187 (0.293) Loss 2.4142 (2.7062) Prec@1 41.797 (34.764) Prec@5 70.312 (65.003) Epoch: [10][4770/5809] Time 0.403 (0.367) Data 0.343 (0.293) Loss 2.7253 (2.7062) Prec@1 32.422 (34.762) Prec@5 62.891 (65.002) Epoch: [10][4780/5809] Time 0.255 (0.367) Data 0.196 (0.293) Loss 2.8142 (2.7061) Prec@1 33.594 (34.764) Prec@5 64.062 (65.006) Epoch: [10][4790/5809] Time 0.326 (0.367) Data 0.258 (0.293) Loss 2.9139 (2.7062) Prec@1 31.641 (34.763) Prec@5 60.938 (65.006) Epoch: [10][4800/5809] Time 0.464 (0.367) Data 0.404 (0.293) Loss 2.8270 (2.7063) Prec@1 33.984 (34.763) Prec@5 61.719 (65.003) Epoch: [10][4810/5809] Time 0.146 (0.367) Data 0.086 (0.293) Loss 2.7363 (2.7062) Prec@1 35.547 (34.764) Prec@5 65.234 (65.004) Epoch: [10][4820/5809] Time 0.596 (0.367) Data 0.537 (0.293) Loss 2.4287 (2.7062) Prec@1 38.281 (34.765) Prec@5 72.266 (65.004) Epoch: [10][4830/5809] Time 0.133 (0.367) Data 0.001 (0.293) Loss 2.7034 (2.7062) Prec@1 38.281 (34.766) Prec@5 63.672 (65.004) Epoch: [10][4840/5809] Time 0.845 (0.367) Data 0.786 (0.293) Loss 2.5875 (2.7061) Prec@1 35.938 (34.766) Prec@5 70.312 (65.007) Epoch: [10][4850/5809] Time 0.166 (0.367) Data 0.101 (0.293) Loss 2.7102 (2.7062) Prec@1 36.719 (34.763) Prec@5 64.844 (65.006) Epoch: [10][4860/5809] Time 1.788 (0.367) Data 1.728 (0.293) Loss 2.7703 (2.7063) Prec@1 34.766 (34.760) Prec@5 63.672 (65.002) Epoch: [10][4870/5809] Time 0.134 (0.368) Data 0.001 (0.295) Loss 2.5376 (2.7062) Prec@1 36.328 (34.762) Prec@5 68.359 (65.003) Epoch: [10][4880/5809] Time 0.256 (0.369) Data 0.196 (0.295) Loss 2.8428 (2.7063) Prec@1 30.859 (34.760) Prec@5 62.500 (65.000) Epoch: [10][4890/5809] Time 0.133 (0.369) Data 0.051 (0.295) Loss 2.8374 (2.7064) Prec@1 32.812 (34.758) Prec@5 61.719 (64.998) Epoch: [10][4900/5809] Time 0.133 (0.369) Data 0.045 (0.295) Loss 2.7036 (2.7063) Prec@1 35.547 (34.758) Prec@5 60.938 (65.000) Epoch: [10][4910/5809] Time 0.139 (0.369) Data 0.040 (0.295) Loss 2.5711 (2.7063) Prec@1 36.719 (34.758) Prec@5 66.406 (64.999) Epoch: [10][4920/5809] Time 0.128 (0.369) Data 0.043 (0.295) Loss 2.6467 (2.7062) Prec@1 37.500 (34.760) Prec@5 66.797 (64.999) Epoch: [10][4930/5809] Time 0.133 (0.369) Data 0.001 (0.295) Loss 2.8929 (2.7062) Prec@1 32.422 (34.762) Prec@5 65.625 (65.001) Epoch: [10][4940/5809] Time 0.342 (0.369) Data 0.283 (0.295) Loss 2.7291 (2.7062) Prec@1 38.672 (34.762) Prec@5 62.891 (65.001) Epoch: [10][4950/5809] Time 0.133 (0.369) Data 0.001 (0.295) Loss 2.6603 (2.7062) Prec@1 38.672 (34.762) Prec@5 66.016 (65.000) Epoch: [10][4960/5809] Time 0.449 (0.369) Data 0.388 (0.295) Loss 2.7117 (2.7062) Prec@1 35.547 (34.764) Prec@5 62.891 (65.000) Epoch: [10][4970/5809] Time 0.133 (0.369) Data 0.001 (0.294) Loss 2.7198 (2.7062) Prec@1 35.938 (34.766) Prec@5 64.844 (65.001) Epoch: [10][4980/5809] Time 0.323 (0.368) Data 0.263 (0.294) Loss 2.6589 (2.7061) Prec@1 35.938 (34.764) Prec@5 66.016 (65.003) Epoch: [10][4990/5809] Time 0.133 (0.368) Data 0.001 (0.294) Loss 2.9065 (2.7060) Prec@1 30.469 (34.767) Prec@5 60.547 (65.005) Epoch: [10][5000/5809] Time 0.382 (0.368) Data 0.323 (0.294) Loss 2.7646 (2.7061) Prec@1 33.594 (34.766) Prec@5 62.891 (65.001) Epoch: [10][5010/5809] Time 0.127 (0.368) Data 0.041 (0.294) Loss 2.5042 (2.7061) Prec@1 39.844 (34.768) Prec@5 68.750 (65.001) Epoch: [10][5020/5809] Time 1.129 (0.369) Data 1.070 (0.295) Loss 2.8001 (2.7059) Prec@1 32.422 (34.771) Prec@5 62.109 (65.004) Epoch: [10][5030/5809] Time 0.133 (0.370) Data 0.001 (0.295) Loss 2.7786 (2.7061) Prec@1 33.984 (34.768) Prec@5 67.578 (65.002) Epoch: [10][5040/5809] Time 0.478 (0.370) Data 0.418 (0.296) Loss 2.5778 (2.7061) Prec@1 40.234 (34.768) Prec@5 66.797 (65.001) Epoch: [10][5050/5809] Time 0.133 (0.370) Data 0.001 (0.296) Loss 2.7045 (2.7061) Prec@1 34.375 (34.768) Prec@5 65.625 (65.001) Epoch: [10][5060/5809] Time 0.310 (0.370) Data 0.250 (0.296) Loss 2.6823 (2.7061) Prec@1 34.766 (34.768) Prec@5 66.016 (65.002) Epoch: [10][5070/5809] Time 0.133 (0.370) Data 0.072 (0.296) Loss 2.7813 (2.7061) Prec@1 31.641 (34.767) Prec@5 63.672 (65.002) Epoch: [10][5080/5809] Time 0.134 (0.370) Data 0.073 (0.296) Loss 2.6801 (2.7061) Prec@1 42.188 (34.770) Prec@5 64.844 (65.001) Epoch: [10][5090/5809] Time 0.175 (0.370) Data 0.115 (0.296) Loss 2.7393 (2.7061) Prec@1 36.719 (34.770) Prec@5 62.500 (65.001) Epoch: [10][5100/5809] Time 0.208 (0.369) Data 0.148 (0.296) Loss 2.6902 (2.7062) Prec@1 33.594 (34.769) Prec@5 67.578 (65.002) Epoch: [10][5110/5809] Time 0.179 (0.369) Data 0.120 (0.295) Loss 2.5021 (2.7062) Prec@1 35.547 (34.766) Prec@5 71.094 (65.001) Epoch: [10][5120/5809] Time 0.362 (0.369) Data 0.302 (0.295) Loss 2.6328 (2.7061) Prec@1 35.938 (34.767) Prec@5 66.797 (65.005) Epoch: [10][5130/5809] Time 0.298 (0.369) Data 0.240 (0.295) Loss 2.7113 (2.7061) Prec@1 36.719 (34.769) Prec@5 68.359 (65.007) Epoch: [10][5140/5809] Time 0.519 (0.369) Data 0.460 (0.295) Loss 2.3514 (2.7059) Prec@1 39.844 (34.772) Prec@5 71.094 (65.012) Epoch: [10][5150/5809] Time 0.441 (0.370) Data 0.382 (0.296) Loss 2.8149 (2.7058) Prec@1 33.594 (34.773) Prec@5 62.109 (65.013) Epoch: [10][5160/5809] Time 1.578 (0.371) Data 1.519 (0.297) Loss 2.6137 (2.7059) Prec@1 36.328 (34.773) Prec@5 66.406 (65.013) Epoch: [10][5170/5809] Time 0.338 (0.371) Data 0.280 (0.297) Loss 2.5588 (2.7059) Prec@1 34.766 (34.772) Prec@5 68.750 (65.012) Epoch: [10][5180/5809] Time 0.635 (0.371) Data 0.577 (0.297) Loss 2.6901 (2.7059) Prec@1 33.594 (34.773) Prec@5 64.844 (65.012) Epoch: [10][5190/5809] Time 0.134 (0.371) Data 0.053 (0.297) Loss 3.0885 (2.7060) Prec@1 29.297 (34.773) Prec@5 54.297 (65.009) Epoch: [10][5200/5809] Time 0.753 (0.371) Data 0.693 (0.298) Loss 2.7134 (2.7060) Prec@1 34.375 (34.774) Prec@5 64.453 (65.008) Epoch: [10][5210/5809] Time 0.133 (0.371) Data 0.001 (0.297) Loss 2.9159 (2.7061) Prec@1 33.594 (34.772) Prec@5 59.375 (65.007) Epoch: [10][5220/5809] Time 0.886 (0.371) Data 0.827 (0.297) Loss 2.6788 (2.7061) Prec@1 34.375 (34.774) Prec@5 63.672 (65.006) Epoch: [10][5230/5809] Time 0.133 (0.371) Data 0.001 (0.297) Loss 2.5296 (2.7060) Prec@1 36.328 (34.778) Prec@5 66.797 (65.008) Epoch: [10][5240/5809] Time 0.878 (0.371) Data 0.817 (0.297) Loss 2.5297 (2.7060) Prec@1 39.844 (34.778) Prec@5 72.266 (65.008) Epoch: [10][5250/5809] Time 0.353 (0.371) Data 0.293 (0.297) Loss 2.6661 (2.7062) Prec@1 34.766 (34.775) Prec@5 65.234 (65.004) Epoch: [10][5260/5809] Time 0.843 (0.371) Data 0.777 (0.297) Loss 2.5678 (2.7061) Prec@1 34.766 (34.778) Prec@5 66.406 (65.007) Epoch: [10][5270/5809] Time 0.129 (0.371) Data 0.053 (0.297) Loss 2.4937 (2.7061) Prec@1 40.625 (34.780) Prec@5 70.703 (65.006) Epoch: [10][5280/5809] Time 0.664 (0.371) Data 0.603 (0.297) Loss 2.5813 (2.7061) Prec@1 38.672 (34.781) Prec@5 65.625 (65.006) Epoch: [10][5290/5809] Time 0.166 (0.371) Data 0.106 (0.297) Loss 2.7401 (2.7060) Prec@1 38.281 (34.781) Prec@5 64.844 (65.008) Epoch: [10][5300/5809] Time 0.728 (0.371) Data 0.666 (0.297) Loss 2.6117 (2.7060) Prec@1 32.812 (34.778) Prec@5 71.094 (65.011) Epoch: [10][5310/5809] Time 0.323 (0.371) Data 0.262 (0.297) Loss 2.6005 (2.7060) Prec@1 37.500 (34.779) Prec@5 67.969 (65.012) Epoch: [10][5320/5809] Time 0.673 (0.371) Data 0.614 (0.297) Loss 2.4959 (2.7060) Prec@1 36.719 (34.779) Prec@5 71.484 (65.013) Epoch: [10][5330/5809] Time 0.163 (0.371) Data 0.103 (0.297) Loss 2.8793 (2.7060) Prec@1 33.984 (34.778) Prec@5 62.500 (65.012) Epoch: [10][5340/5809] Time 0.409 (0.371) Data 0.349 (0.297) Loss 2.9270 (2.7060) Prec@1 31.641 (34.777) Prec@5 60.547 (65.012) Epoch: [10][5350/5809] Time 0.452 (0.371) Data 0.392 (0.297) Loss 2.7998 (2.7060) Prec@1 31.250 (34.777) Prec@5 62.891 (65.011) Epoch: [10][5360/5809] Time 0.279 (0.370) Data 0.219 (0.297) Loss 2.7253 (2.7059) Prec@1 33.203 (34.777) Prec@5 64.844 (65.013) Epoch: [10][5370/5809] Time 0.519 (0.370) Data 0.459 (0.297) Loss 2.6147 (2.7059) Prec@1 35.547 (34.776) Prec@5 70.703 (65.013) Epoch: [10][5380/5809] Time 0.136 (0.370) Data 0.077 (0.296) Loss 2.7172 (2.7059) Prec@1 36.719 (34.777) Prec@5 64.844 (65.014) Epoch: [10][5390/5809] Time 0.216 (0.370) Data 0.157 (0.296) Loss 2.8057 (2.7060) Prec@1 36.328 (34.775) Prec@5 62.891 (65.013) Epoch: [10][5400/5809] Time 0.130 (0.370) Data 0.049 (0.296) Loss 2.6589 (2.7060) Prec@1 39.062 (34.776) Prec@5 61.719 (65.013) Epoch: [10][5410/5809] Time 0.423 (0.370) Data 0.363 (0.296) Loss 2.8647 (2.7060) Prec@1 30.859 (34.776) Prec@5 64.062 (65.012) Epoch: [10][5420/5809] Time 0.133 (0.370) Data 0.041 (0.296) Loss 2.7542 (2.7058) Prec@1 33.984 (34.779) Prec@5 64.844 (65.018) Epoch: [10][5430/5809] Time 0.224 (0.370) Data 0.165 (0.296) Loss 2.7623 (2.7059) Prec@1 33.594 (34.778) Prec@5 66.797 (65.018) Epoch: [10][5440/5809] Time 0.135 (0.370) Data 0.001 (0.296) Loss 2.6785 (2.7058) Prec@1 33.594 (34.779) Prec@5 64.062 (65.020) Epoch: [10][5450/5809] Time 0.134 (0.370) Data 0.040 (0.296) Loss 2.7483 (2.7058) Prec@1 34.375 (34.777) Prec@5 66.406 (65.020) Epoch: [10][5460/5809] Time 0.135 (0.370) Data 0.001 (0.296) Loss 2.6688 (2.7058) Prec@1 33.203 (34.777) Prec@5 67.188 (65.019) Epoch: [10][5470/5809] Time 0.133 (0.370) Data 0.001 (0.296) Loss 2.6694 (2.7058) Prec@1 32.031 (34.777) Prec@5 64.844 (65.018) Epoch: [10][5480/5809] Time 0.153 (0.370) Data 0.093 (0.296) Loss 2.6052 (2.7058) Prec@1 36.328 (34.777) Prec@5 64.844 (65.017) Epoch: [10][5490/5809] Time 0.128 (0.370) Data 0.045 (0.296) Loss 2.6489 (2.7057) Prec@1 37.891 (34.777) Prec@5 68.359 (65.020) Epoch: [10][5500/5809] Time 0.132 (0.370) Data 0.003 (0.296) Loss 2.6614 (2.7057) Prec@1 30.469 (34.779) Prec@5 67.188 (65.021) Epoch: [10][5510/5809] Time 0.179 (0.370) Data 0.120 (0.296) Loss 2.5347 (2.7056) Prec@1 39.844 (34.782) Prec@5 66.406 (65.022) Epoch: [10][5520/5809] Time 0.133 (0.370) Data 0.001 (0.296) Loss 2.7456 (2.7057) Prec@1 31.641 (34.780) Prec@5 65.625 (65.023) Epoch: [10][5530/5809] Time 0.440 (0.370) Data 0.379 (0.296) Loss 2.5684 (2.7056) Prec@1 34.766 (34.781) Prec@5 71.094 (65.025) Epoch: [10][5540/5809] Time 0.164 (0.369) Data 0.104 (0.295) Loss 2.6793 (2.7056) Prec@1 38.672 (34.782) Prec@5 62.109 (65.024) Epoch: [10][5550/5809] Time 0.609 (0.369) Data 0.550 (0.295) Loss 3.0016 (2.7056) Prec@1 30.078 (34.779) Prec@5 60.547 (65.023) Epoch: [10][5560/5809] Time 0.378 (0.369) Data 0.317 (0.295) Loss 2.8534 (2.7056) Prec@1 32.031 (34.780) Prec@5 62.109 (65.023) Epoch: [10][5570/5809] Time 0.494 (0.369) Data 0.435 (0.295) Loss 2.7880 (2.7056) Prec@1 32.812 (34.780) Prec@5 62.891 (65.022) Epoch: [10][5580/5809] Time 0.354 (0.369) Data 0.294 (0.295) Loss 2.8070 (2.7056) Prec@1 35.156 (34.780) Prec@5 64.062 (65.021) Epoch: [10][5590/5809] Time 0.531 (0.369) Data 0.471 (0.295) Loss 2.6681 (2.7055) Prec@1 33.984 (34.780) Prec@5 67.188 (65.023) Epoch: [10][5600/5809] Time 0.382 (0.369) Data 0.322 (0.295) Loss 2.8579 (2.7057) Prec@1 31.250 (34.776) Prec@5 61.719 (65.022) Epoch: [10][5610/5809] Time 0.430 (0.369) Data 0.370 (0.295) Loss 2.8392 (2.7057) Prec@1 30.859 (34.775) Prec@5 62.500 (65.022) Epoch: [10][5620/5809] Time 0.366 (0.369) Data 0.305 (0.295) Loss 2.6750 (2.7058) Prec@1 33.203 (34.773) Prec@5 63.281 (65.020) Epoch: [10][5630/5809] Time 0.461 (0.369) Data 0.400 (0.295) Loss 2.5727 (2.7057) Prec@1 39.453 (34.775) Prec@5 65.625 (65.021) Epoch: [10][5640/5809] Time 0.532 (0.369) Data 0.472 (0.295) Loss 2.6438 (2.7057) Prec@1 32.422 (34.774) Prec@5 67.188 (65.023) Epoch: [10][5650/5809] Time 0.373 (0.369) Data 0.305 (0.295) Loss 2.6364 (2.7057) Prec@1 36.719 (34.774) Prec@5 66.797 (65.023) Epoch: [10][5660/5809] Time 0.591 (0.369) Data 0.531 (0.295) Loss 2.9262 (2.7057) Prec@1 33.594 (34.774) Prec@5 59.766 (65.025) Epoch: [10][5670/5809] Time 0.224 (0.369) Data 0.163 (0.295) Loss 2.5626 (2.7056) Prec@1 38.281 (34.777) Prec@5 67.969 (65.027) Epoch: [10][5680/5809] Time 0.509 (0.369) Data 0.450 (0.295) Loss 2.8373 (2.7057) Prec@1 32.812 (34.775) Prec@5 61.719 (65.025) Epoch: [10][5690/5809] Time 0.270 (0.369) Data 0.211 (0.295) Loss 2.8974 (2.7057) Prec@1 30.859 (34.774) Prec@5 63.672 (65.026) Epoch: [10][5700/5809] Time 0.339 (0.369) Data 0.279 (0.295) Loss 2.7089 (2.7057) Prec@1 34.766 (34.774) Prec@5 67.578 (65.026) Epoch: [10][5710/5809] Time 0.200 (0.369) Data 0.141 (0.295) Loss 2.6503 (2.7056) Prec@1 34.766 (34.774) Prec@5 66.406 (65.027) Epoch: [10][5720/5809] Time 0.305 (0.369) Data 0.244 (0.295) Loss 2.5205 (2.7056) Prec@1 34.766 (34.775) Prec@5 67.578 (65.028) Epoch: [10][5730/5809] Time 0.133 (0.368) Data 0.001 (0.295) Loss 2.5851 (2.7056) Prec@1 37.500 (34.774) Prec@5 66.406 (65.029) Epoch: [10][5740/5809] Time 0.325 (0.368) Data 0.264 (0.295) Loss 2.6407 (2.7056) Prec@1 37.109 (34.774) Prec@5 66.016 (65.028) Epoch: [10][5750/5809] Time 0.313 (0.368) Data 0.251 (0.295) Loss 2.6498 (2.7056) Prec@1 36.719 (34.773) Prec@5 67.578 (65.029) Epoch: [10][5760/5809] Time 0.386 (0.368) Data 0.325 (0.295) Loss 2.7705 (2.7056) Prec@1 27.734 (34.773) Prec@5 64.453 (65.030) Epoch: [10][5770/5809] Time 0.635 (0.368) Data 0.575 (0.295) Loss 2.7621 (2.7056) Prec@1 28.125 (34.773) Prec@5 62.500 (65.031) Epoch: [10][5780/5809] Time 0.351 (0.368) Data 0.290 (0.295) Loss 2.6392 (2.7056) Prec@1 35.938 (34.773) Prec@5 67.188 (65.031) Epoch: [10][5790/5809] Time 0.517 (0.368) Data 0.458 (0.294) Loss 2.6464 (2.7058) Prec@1 35.938 (34.773) Prec@5 69.141 (65.027) Epoch: [10][5800/5809] Time 0.347 (0.368) Data 0.288 (0.294) Loss 2.4731 (2.7058) Prec@1 39.062 (34.775) Prec@5 71.094 (65.027) Test: [0/143] Time 1.597 (1.597) Loss 1.7615 (1.7615) Prec@1 54.688 (54.688) Prec@5 85.938 (85.938) Test: [10/143] Time 0.055 (0.382) Loss 9.5211 (8.5488) Prec@1 0.000 (6.712) Prec@5 0.000 (14.311) Test: [20/143] Time 0.662 (0.350) Loss 10.9686 (9.4909) Prec@1 0.000 (3.571) Prec@5 0.391 (8.073) Test: [30/143] Time 0.111 (0.325) Loss 11.9376 (9.9759) Prec@1 0.000 (2.457) Prec@5 0.000 (5.658) Test: [40/143] Time 0.576 (0.325) Loss 10.4441 (10.1082) Prec@1 0.781 (1.877) Prec@5 1.953 (4.487) Test: [50/143] Time 0.449 (0.316) Loss 9.4840 (10.1052) Prec@1 0.000 (1.608) Prec@5 0.781 (4.749) Test: [60/143] Time 0.117 (0.309) Loss 11.3869 (10.2192) Prec@1 0.000 (1.351) Prec@5 0.391 (4.034) Test: [70/143] Time 0.205 (0.310) Loss 9.0880 (10.2809) Prec@1 0.000 (1.183) Prec@5 0.781 (3.587) Test: [80/143] Time 0.623 (0.309) Loss 8.0683 (10.2530) Prec@1 0.391 (1.090) Prec@5 1.953 (3.371) Test: [90/143] Time 0.289 (0.309) Loss 8.8789 (10.1637) Prec@1 0.391 (0.983) Prec@5 2.344 (3.202) Test: [100/143] Time 0.271 (0.308) Loss 10.4899 (10.1364) Prec@1 0.000 (0.913) Prec@5 0.000 (3.001) Test: [110/143] Time 0.432 (0.306) Loss 11.7609 (10.1039) Prec@1 0.000 (0.859) Prec@5 0.000 (2.886) Test: [120/143] Time 0.307 (0.305) Loss 13.5558 (10.1889) Prec@1 0.000 (0.810) Prec@5 0.000 (2.747) Test: [130/143] Time 0.600 (0.305) Loss 13.6057 (10.5102) Prec@1 0.000 (0.748) Prec@5 0.000 (2.538) Test: [140/143] Time 0.055 (0.301) Loss 15.7333 (10.7942) Prec@1 0.000 (0.695) Prec@5 0.000 (2.358) * Prec@1 0.688 Prec@5 2.332 Epoch: [11][0/5809] Time 2.482 (2.482) Data 2.422 (2.422) Loss 2.8192 (2.8192) Prec@1 30.859 (30.859) Prec@5 62.891 (62.891) Epoch: [11][10/5809] Time 0.133 (0.482) Data 0.039 (0.377) Loss 2.7668 (2.6976) Prec@1 34.375 (34.304) Prec@5 62.109 (64.489) Epoch: [11][20/5809] Time 1.010 (0.442) Data 0.949 (0.347) Loss 2.5942 (2.7080) Prec@1 38.281 (34.784) Prec@5 68.359 (64.751) Epoch: [11][30/5809] Time 0.130 (0.399) Data 0.001 (0.301) Loss 2.6394 (2.6672) Prec@1 32.812 (35.257) Prec@5 68.359 (65.625) Epoch: [11][40/5809] Time 0.916 (0.391) Data 0.848 (0.291) Loss 2.6564 (2.6774) Prec@1 34.375 (35.061) Prec@5 66.797 (65.473) Epoch: [11][50/5809] Time 0.135 (0.377) Data 0.001 (0.274) Loss 2.4755 (2.6787) Prec@1 39.062 (34.896) Prec@5 68.750 (65.388) Epoch: [11][60/5809] Time 0.984 (0.377) Data 0.921 (0.274) Loss 2.7024 (2.6865) Prec@1 34.375 (34.663) Prec@5 65.625 (65.298) Epoch: [11][70/5809] Time 0.132 (0.369) Data 0.001 (0.264) Loss 2.7270 (2.6806) Prec@1 35.938 (34.628) Prec@5 66.797 (65.443) Epoch: [11][80/5809] Time 0.807 (0.370) Data 0.749 (0.263) Loss 2.5374 (2.6736) Prec@1 37.891 (34.862) Prec@5 66.016 (65.659) Epoch: [11][90/5809] Time 0.128 (0.362) Data 0.045 (0.256) Loss 2.7717 (2.6745) Prec@1 32.031 (34.817) Prec@5 64.844 (65.573) Epoch: [11][100/5809] Time 0.893 (0.364) Data 0.834 (0.260) Loss 2.6380 (2.6774) Prec@1 39.062 (34.816) Prec@5 70.312 (65.552) Epoch: [11][110/5809] Time 0.181 (0.358) Data 0.121 (0.255) Loss 2.5351 (2.6779) Prec@1 35.938 (34.861) Prec@5 65.234 (65.516) Epoch: [11][120/5809] Time 0.733 (0.360) Data 0.673 (0.260) Loss 2.6101 (2.6729) Prec@1 35.938 (34.892) Prec@5 65.625 (65.686) Epoch: [11][130/5809] Time 0.130 (0.356) Data 0.060 (0.257) Loss 2.6440 (2.6764) Prec@1 32.812 (34.831) Prec@5 63.281 (65.664) Epoch: [11][140/5809] Time 0.271 (0.358) Data 0.211 (0.261) Loss 2.6910 (2.6809) Prec@1 36.328 (34.815) Prec@5 63.672 (65.581) Epoch: [11][150/5809] Time 0.132 (0.355) Data 0.001 (0.259) Loss 2.8224 (2.6795) Prec@1 32.422 (34.931) Prec@5 64.844 (65.612) Epoch: [11][160/5809] Time 0.724 (0.358) Data 0.659 (0.263) Loss 2.6437 (2.6775) Prec@1 35.547 (34.977) Prec@5 67.188 (65.705) Epoch: [11][170/5809] Time 0.133 (0.355) Data 0.001 (0.260) Loss 2.5626 (2.6761) Prec@1 34.375 (34.980) Prec@5 70.312 (65.755) Epoch: [11][180/5809] Time 0.842 (0.356) Data 0.774 (0.261) Loss 2.6378 (2.6773) Prec@1 34.375 (34.915) Prec@5 62.891 (65.718) Epoch: [11][190/5809] Time 0.134 (0.354) Data 0.039 (0.259) Loss 2.7979 (2.6810) Prec@1 28.906 (34.839) Prec@5 63.672 (65.594) Epoch: [11][200/5809] Time 0.924 (0.356) Data 0.856 (0.261) Loss 2.7057 (2.6788) Prec@1 33.984 (34.925) Prec@5 62.891 (65.642) Epoch: [11][210/5809] Time 0.142 (0.354) Data 0.001 (0.259) Loss 2.8502 (2.6798) Prec@1 32.031 (34.899) Prec@5 59.766 (65.623) Epoch: [11][220/5809] Time 0.769 (0.355) Data 0.709 (0.261) Loss 2.7680 (2.6816) Prec@1 32.422 (34.873) Prec@5 66.406 (65.627) Epoch: [11][230/5809] Time 0.238 (0.353) Data 0.178 (0.260) Loss 2.6296 (2.6819) Prec@1 33.984 (34.881) Prec@5 65.234 (65.618) Epoch: [11][240/5809] Time 0.599 (0.353) Data 0.539 (0.262) Loss 2.7692 (2.6821) Prec@1 30.078 (34.905) Prec@5 65.234 (65.625) Epoch: [11][250/5809] Time 0.125 (0.353) Data 0.060 (0.262) Loss 2.9653 (2.6820) Prec@1 31.641 (34.918) Prec@5 60.156 (65.658) Epoch: [11][260/5809] Time 0.296 (0.352) Data 0.236 (0.262) Loss 2.5390 (2.6813) Prec@1 36.719 (34.975) Prec@5 66.797 (65.694) Epoch: [11][270/5809] Time 0.321 (0.353) Data 0.256 (0.264) Loss 2.7261 (2.6848) Prec@1 35.547 (34.918) Prec@5 66.016 (65.608) Epoch: [11][280/5809] Time 0.131 (0.351) Data 0.052 (0.263) Loss 2.7447 (2.6830) Prec@1 35.156 (35.012) Prec@5 63.672 (65.611) Epoch: [11][290/5809] Time 0.263 (0.353) Data 0.202 (0.264) Loss 2.7124 (2.6819) Prec@1 31.250 (35.042) Prec@5 64.844 (65.640) Epoch: [11][300/5809] Time 0.201 (0.351) Data 0.142 (0.263) Loss 2.5526 (2.6811) Prec@1 41.016 (35.060) Prec@5 69.922 (65.652) Epoch: [11][310/5809] Time 0.133 (0.353) Data 0.001 (0.264) Loss 2.7219 (2.6818) Prec@1 30.859 (35.052) Prec@5 64.062 (65.636) Epoch: [11][320/5809] Time 0.370 (0.351) Data 0.310 (0.263) Loss 2.6084 (2.6826) Prec@1 37.891 (35.021) Prec@5 64.453 (65.615) Epoch: [11][330/5809] Time 0.205 (0.352) Data 0.144 (0.264) Loss 2.7317 (2.6830) Prec@1 35.156 (35.022) Prec@5 65.234 (65.607) Epoch: [11][340/5809] Time 0.665 (0.352) Data 0.604 (0.265) Loss 2.6236 (2.6841) Prec@1 35.938 (35.026) Prec@5 69.141 (65.588) Epoch: [11][350/5809] Time 0.397 (0.351) Data 0.337 (0.265) Loss 2.6925 (2.6838) Prec@1 33.984 (34.974) Prec@5 63.281 (65.554) Epoch: [11][360/5809] Time 0.480 (0.351) Data 0.419 (0.266) Loss 3.1672 (2.6832) Prec@1 25.781 (34.956) Prec@5 55.078 (65.580) Epoch: [11][370/5809] Time 0.212 (0.351) Data 0.152 (0.266) Loss 2.5679 (2.6820) Prec@1 34.766 (34.980) Prec@5 69.531 (65.592) Epoch: [11][380/5809] Time 0.443 (0.351) Data 0.383 (0.267) Loss 2.7394 (2.6821) Prec@1 31.250 (35.009) Prec@5 64.062 (65.590) Epoch: [11][390/5809] Time 0.132 (0.350) Data 0.056 (0.267) Loss 2.6852 (2.6824) Prec@1 29.688 (35.006) Prec@5 65.234 (65.573) Epoch: [11][400/5809] Time 0.370 (0.350) Data 0.310 (0.268) Loss 2.6231 (2.6804) Prec@1 33.203 (35.024) Prec@5 65.234 (65.596) Epoch: [11][410/5809] Time 0.219 (0.350) Data 0.158 (0.268) Loss 2.6957 (2.6811) Prec@1 33.594 (35.018) Prec@5 69.922 (65.595) Epoch: [11][420/5809] Time 0.491 (0.350) Data 0.430 (0.268) Loss 2.7248 (2.6822) Prec@1 33.984 (34.984) Prec@5 62.109 (65.553) Epoch: [11][430/5809] Time 0.135 (0.350) Data 0.048 (0.269) Loss 2.7221 (2.6816) Prec@1 30.078 (34.983) Prec@5 66.406 (65.579) Epoch: [11][440/5809] Time 0.557 (0.350) Data 0.497 (0.268) Loss 2.6757 (2.6808) Prec@1 33.984 (35.002) Prec@5 66.797 (65.603) Epoch: [11][450/5809] Time 0.218 (0.349) Data 0.151 (0.268) Loss 2.6664 (2.6830) Prec@1 33.203 (34.969) Prec@5 64.844 (65.544) Epoch: [11][460/5809] Time 0.296 (0.349) Data 0.237 (0.268) Loss 2.7456 (2.6830) Prec@1 33.203 (34.977) Prec@5 62.891 (65.544) Epoch: [11][470/5809] Time 0.134 (0.349) Data 0.062 (0.268) Loss 2.5350 (2.6829) Prec@1 36.719 (34.979) Prec@5 70.312 (65.557) Epoch: [11][480/5809] Time 0.133 (0.349) Data 0.001 (0.267) Loss 2.6838 (2.6843) Prec@1 37.109 (34.951) Prec@5 65.625 (65.515) Epoch: [11][490/5809] Time 0.140 (0.349) Data 0.001 (0.268) Loss 2.7056 (2.6842) Prec@1 33.594 (34.971) Prec@5 65.625 (65.492) Epoch: [11][500/5809] Time 0.127 (0.348) Data 0.054 (0.266) Loss 2.7010 (2.6843) Prec@1 33.984 (34.977) Prec@5 63.281 (65.492) Epoch: [11][510/5809] Time 0.224 (0.349) Data 0.157 (0.267) Loss 2.6137 (2.6837) Prec@1 36.328 (34.996) Prec@5 66.016 (65.487) Epoch: [11][520/5809] Time 0.330 (0.348) Data 0.271 (0.267) Loss 2.7303 (2.6844) Prec@1 37.109 (34.993) Prec@5 63.672 (65.483) Epoch: [11][530/5809] Time 0.385 (0.349) Data 0.324 (0.268) Loss 2.8925 (2.6845) Prec@1 31.641 (35.008) Prec@5 62.109 (65.496) Epoch: [11][540/5809] Time 0.476 (0.349) Data 0.415 (0.268) Loss 2.7290 (2.6835) Prec@1 35.547 (35.021) Prec@5 65.625 (65.522) Epoch: [11][550/5809] Time 0.141 (0.349) Data 0.001 (0.268) Loss 2.7351 (2.6831) Prec@1 32.812 (35.020) Prec@5 64.062 (65.517) Epoch: [11][560/5809] Time 0.314 (0.348) Data 0.255 (0.267) Loss 2.9479 (2.6826) Prec@1 29.688 (35.011) Prec@5 58.594 (65.513) Epoch: [11][570/5809] Time 0.133 (0.348) Data 0.052 (0.267) Loss 3.0003 (2.6830) Prec@1 30.859 (34.981) Prec@5 60.156 (65.483) Epoch: [11][580/5809] Time 0.399 (0.348) Data 0.339 (0.267) Loss 2.7733 (2.6832) Prec@1 33.594 (35.000) Prec@5 65.234 (65.475) Epoch: [11][590/5809] Time 0.133 (0.348) Data 0.001 (0.267) Loss 2.6128 (2.6828) Prec@1 35.938 (35.008) Prec@5 63.672 (65.474) Epoch: [11][600/5809] Time 0.126 (0.348) Data 0.043 (0.267) Loss 2.6121 (2.6825) Prec@1 32.812 (35.011) Prec@5 67.578 (65.489) Epoch: [11][610/5809] Time 0.133 (0.348) Data 0.001 (0.267) Loss 2.4474 (2.6823) Prec@1 37.500 (35.013) Prec@5 70.312 (65.489) Epoch: [11][620/5809] Time 0.213 (0.348) Data 0.145 (0.267) Loss 2.5940 (2.6822) Prec@1 36.719 (35.012) Prec@5 66.406 (65.486) Epoch: [11][630/5809] Time 0.134 (0.347) Data 0.001 (0.266) Loss 2.7246 (2.6816) Prec@1 37.891 (35.034) Prec@5 65.625 (65.503) Epoch: [11][640/5809] Time 0.202 (0.348) Data 0.141 (0.267) Loss 2.5715 (2.6812) Prec@1 37.891 (35.050) Prec@5 69.531 (65.515) Epoch: [11][650/5809] Time 0.134 (0.347) Data 0.001 (0.266) Loss 2.7513 (2.6810) Prec@1 35.547 (35.060) Prec@5 62.500 (65.509) Epoch: [11][660/5809] Time 0.219 (0.347) Data 0.159 (0.267) Loss 2.9401 (2.6809) Prec@1 30.859 (35.060) Prec@5 59.375 (65.475) Epoch: [11][670/5809] Time 0.166 (0.347) Data 0.105 (0.266) Loss 2.8589 (2.6816) Prec@1 34.766 (35.056) Prec@5 66.797 (65.469) Epoch: [11][680/5809] Time 0.353 (0.347) Data 0.286 (0.267) Loss 2.8418 (2.6813) Prec@1 35.156 (35.063) Prec@5 60.547 (65.487) Epoch: [11][690/5809] Time 0.211 (0.347) Data 0.151 (0.267) Loss 2.6083 (2.6811) Prec@1 40.234 (35.075) Prec@5 67.578 (65.495) Epoch: [11][700/5809] Time 0.567 (0.347) Data 0.499 (0.267) Loss 2.6281 (2.6816) Prec@1 35.156 (35.072) Prec@5 67.578 (65.484) Epoch: [11][710/5809] Time 0.328 (0.347) Data 0.268 (0.267) Loss 2.4500 (2.6816) Prec@1 36.328 (35.055) Prec@5 67.578 (65.488) Epoch: [11][720/5809] Time 0.402 (0.347) Data 0.343 (0.267) Loss 2.7059 (2.6823) Prec@1 39.453 (35.060) Prec@5 64.062 (65.469) Epoch: [11][730/5809] Time 0.454 (0.347) Data 0.388 (0.267) Loss 2.7207 (2.6827) Prec@1 30.078 (35.047) Prec@5 65.234 (65.464) Epoch: [11][740/5809] Time 0.130 (0.346) Data 0.056 (0.267) Loss 2.5399 (2.6817) Prec@1 35.156 (35.056) Prec@5 69.531 (65.487) Epoch: [11][750/5809] Time 0.347 (0.347) Data 0.287 (0.267) Loss 2.5906 (2.6819) Prec@1 32.812 (35.060) Prec@5 70.312 (65.500) Epoch: [11][760/5809] Time 0.133 (0.346) Data 0.010 (0.267) Loss 2.7754 (2.6822) Prec@1 41.016 (35.064) Prec@5 62.109 (65.497) Epoch: [11][770/5809] Time 0.169 (0.346) Data 0.109 (0.267) Loss 2.7470 (2.6819) Prec@1 33.594 (35.071) Prec@5 64.453 (65.493) Epoch: [11][780/5809] Time 0.133 (0.346) Data 0.052 (0.267) Loss 2.6500 (2.6812) Prec@1 35.156 (35.078) Prec@5 65.234 (65.506) Epoch: [11][790/5809] Time 0.131 (0.346) Data 0.047 (0.267) Loss 2.6410 (2.6807) Prec@1 36.719 (35.080) Prec@5 66.797 (65.515) Epoch: [11][800/5809] Time 0.181 (0.346) Data 0.120 (0.266) Loss 2.5117 (2.6804) Prec@1 41.016 (35.099) Prec@5 70.312 (65.524) Epoch: [11][810/5809] Time 0.158 (0.346) Data 0.097 (0.267) Loss 2.4559 (2.6803) Prec@1 38.672 (35.089) Prec@5 68.359 (65.524) Epoch: [11][820/5809] Time 0.468 (0.346) Data 0.408 (0.267) Loss 2.7645 (2.6810) Prec@1 29.297 (35.078) Prec@5 63.281 (65.502) Epoch: [11][830/5809] Time 0.133 (0.346) Data 0.001 (0.267) Loss 2.6567 (2.6807) Prec@1 34.375 (35.075) Prec@5 65.625 (65.511) Epoch: [11][840/5809] Time 0.187 (0.346) Data 0.128 (0.267) Loss 2.5397 (2.6806) Prec@1 38.281 (35.093) Prec@5 71.094 (65.515) Epoch: [11][850/5809] Time 0.133 (0.346) Data 0.001 (0.267) Loss 2.6404 (2.6798) Prec@1 35.938 (35.103) Prec@5 68.359 (65.539) Epoch: [11][860/5809] Time 0.133 (0.346) Data 0.001 (0.267) Loss 2.8205 (2.6795) Prec@1 32.422 (35.104) Prec@5 64.062 (65.541) Epoch: [11][870/5809] Time 0.267 (0.346) Data 0.207 (0.267) Loss 2.7062 (2.6790) Prec@1 34.375 (35.111) Prec@5 63.672 (65.563) Epoch: [11][880/5809] Time 0.134 (0.345) Data 0.071 (0.267) Loss 2.8146 (2.6797) Prec@1 32.031 (35.092) Prec@5 61.719 (65.562) Epoch: [11][890/5809] Time 0.282 (0.346) Data 0.222 (0.267) Loss 2.8664 (2.6797) Prec@1 32.422 (35.093) Prec@5 61.328 (65.568) Epoch: [11][900/5809] Time 0.182 (0.345) Data 0.123 (0.267) Loss 2.6057 (2.6796) Prec@1 36.328 (35.095) Prec@5 64.844 (65.583) Epoch: [11][910/5809] Time 0.347 (0.346) Data 0.287 (0.267) Loss 2.6201 (2.6793) Prec@1 39.062 (35.112) Prec@5 62.500 (65.580) Epoch: [11][920/5809] Time 0.132 (0.346) Data 0.013 (0.267) Loss 2.8565 (2.6782) Prec@1 31.250 (35.127) Prec@5 63.672 (65.601) Epoch: [11][930/5809] Time 0.489 (0.346) Data 0.429 (0.267) Loss 2.7091 (2.6778) Prec@1 35.156 (35.150) Prec@5 64.453 (65.609) Epoch: [11][940/5809] Time 0.222 (0.346) Data 0.162 (0.267) Loss 2.7557 (2.6780) Prec@1 34.766 (35.137) Prec@5 66.797 (65.610) Epoch: [11][950/5809] Time 0.346 (0.346) Data 0.287 (0.267) Loss 2.6049 (2.6778) Prec@1 33.594 (35.148) Prec@5 67.969 (65.608) Epoch: [11][960/5809] Time 0.138 (0.346) Data 0.068 (0.268) Loss 2.6681 (2.6775) Prec@1 34.375 (35.155) Prec@5 62.500 (65.616) Epoch: [11][970/5809] Time 0.133 (0.346) Data 0.001 (0.267) Loss 2.7889 (2.6773) Prec@1 31.641 (35.165) Prec@5 65.625 (65.606) Epoch: [11][980/5809] Time 0.275 (0.346) Data 0.208 (0.268) Loss 2.7406 (2.6769) Prec@1 35.938 (35.183) Prec@5 67.969 (65.614) Epoch: [11][990/5809] Time 0.124 (0.345) Data 0.059 (0.267) Loss 2.8769 (2.6771) Prec@1 32.422 (35.187) Prec@5 61.328 (65.604) Epoch: [11][1000/5809] Time 0.203 (0.346) Data 0.138 (0.267) Loss 2.7975 (2.6777) Prec@1 31.250 (35.173) Prec@5 59.375 (65.584) Epoch: [11][1010/5809] Time 0.132 (0.345) Data 0.001 (0.267) Loss 2.6881 (2.6786) Prec@1 33.203 (35.161) Prec@5 64.453 (65.560) Epoch: [11][1020/5809] Time 0.134 (0.346) Data 0.075 (0.267) Loss 2.6792 (2.6789) Prec@1 32.812 (35.159) Prec@5 66.797 (65.549) Epoch: [11][1030/5809] Time 0.133 (0.345) Data 0.001 (0.266) Loss 2.7927 (2.6792) Prec@1 32.422 (35.156) Prec@5 66.406 (65.548) Epoch: [11][1040/5809] Time 0.204 (0.346) Data 0.142 (0.267) Loss 2.8324 (2.6792) Prec@1 35.156 (35.158) Prec@5 61.328 (65.553) Epoch: [11][1050/5809] Time 0.138 (0.345) Data 0.078 (0.266) Loss 2.8398 (2.6799) Prec@1 36.328 (35.156) Prec@5 60.938 (65.538) Epoch: [11][1060/5809] Time 0.139 (0.345) Data 0.078 (0.266) Loss 2.6216 (2.6797) Prec@1 37.109 (35.165) Prec@5 68.750 (65.537) Epoch: [11][1070/5809] Time 0.133 (0.345) Data 0.001 (0.266) Loss 2.9557 (2.6803) Prec@1 29.297 (35.152) Prec@5 58.984 (65.520) Epoch: [11][1080/5809] Time 0.227 (0.345) Data 0.168 (0.266) Loss 2.6166 (2.6810) Prec@1 35.547 (35.138) Prec@5 65.625 (65.509) Epoch: [11][1090/5809] Time 0.149 (0.345) Data 0.088 (0.267) Loss 2.5579 (2.6805) Prec@1 35.938 (35.147) Prec@5 67.578 (65.514) Epoch: [11][1100/5809] Time 0.411 (0.345) Data 0.350 (0.267) Loss 2.5281 (2.6807) Prec@1 36.328 (35.148) Prec@5 67.578 (65.510) Epoch: [11][1110/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.6398 (2.6804) Prec@1 38.281 (35.161) Prec@5 64.453 (65.512) Epoch: [11][1120/5809] Time 0.332 (0.345) Data 0.272 (0.267) Loss 2.7334 (2.6806) Prec@1 30.469 (35.155) Prec@5 64.453 (65.501) Epoch: [11][1130/5809] Time 0.229 (0.345) Data 0.169 (0.267) Loss 2.6631 (2.6805) Prec@1 40.625 (35.159) Prec@5 66.406 (65.505) Epoch: [11][1140/5809] Time 0.366 (0.345) Data 0.307 (0.267) Loss 2.7435 (2.6805) Prec@1 36.328 (35.162) Prec@5 64.062 (65.504) Epoch: [11][1150/5809] Time 0.139 (0.345) Data 0.001 (0.267) Loss 2.6746 (2.6806) Prec@1 32.031 (35.163) Prec@5 63.672 (65.507) Epoch: [11][1160/5809] Time 0.375 (0.345) Data 0.314 (0.267) Loss 2.5120 (2.6803) Prec@1 41.797 (35.168) Prec@5 69.141 (65.516) Epoch: [11][1170/5809] Time 0.134 (0.345) Data 0.059 (0.267) Loss 2.8012 (2.6804) Prec@1 32.031 (35.171) Prec@5 65.234 (65.511) Epoch: [11][1180/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.6836 (2.6803) Prec@1 35.156 (35.175) Prec@5 65.234 (65.514) Epoch: [11][1190/5809] Time 0.313 (0.345) Data 0.253 (0.267) Loss 2.6980 (2.6807) Prec@1 32.031 (35.172) Prec@5 67.578 (65.508) Epoch: [11][1200/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.5824 (2.6807) Prec@1 33.984 (35.161) Prec@5 70.703 (65.510) Epoch: [11][1210/5809] Time 0.457 (0.345) Data 0.398 (0.267) Loss 2.7486 (2.6809) Prec@1 33.203 (35.153) Prec@5 61.328 (65.502) Epoch: [11][1220/5809] Time 0.227 (0.345) Data 0.166 (0.266) Loss 2.5633 (2.6805) Prec@1 35.547 (35.156) Prec@5 68.750 (65.517) Epoch: [11][1230/5809] Time 0.249 (0.345) Data 0.189 (0.267) Loss 2.7230 (2.6808) Prec@1 36.328 (35.161) Prec@5 65.625 (65.513) Epoch: [11][1240/5809] Time 0.653 (0.345) Data 0.594 (0.267) Loss 2.5104 (2.6806) Prec@1 36.328 (35.167) Prec@5 70.312 (65.516) Epoch: [11][1250/5809] Time 0.703 (0.345) Data 0.641 (0.267) Loss 2.5760 (2.6808) Prec@1 40.234 (35.168) Prec@5 69.531 (65.517) Epoch: [11][1260/5809] Time 0.422 (0.345) Data 0.364 (0.267) Loss 2.8148 (2.6812) Prec@1 32.812 (35.165) Prec@5 65.625 (65.507) Epoch: [11][1270/5809] Time 0.333 (0.345) Data 0.273 (0.267) Loss 2.5671 (2.6812) Prec@1 34.375 (35.167) Prec@5 68.750 (65.515) Epoch: [11][1280/5809] Time 0.479 (0.345) Data 0.419 (0.267) Loss 2.7169 (2.6808) Prec@1 33.984 (35.162) Prec@5 66.406 (65.529) Epoch: [11][1290/5809] Time 0.133 (0.345) Data 0.040 (0.267) Loss 2.7694 (2.6810) Prec@1 33.203 (35.160) Prec@5 63.672 (65.523) Epoch: [11][1300/5809] Time 0.434 (0.345) Data 0.374 (0.267) Loss 2.4553 (2.6812) Prec@1 39.062 (35.162) Prec@5 69.141 (65.520) Epoch: [11][1310/5809] Time 0.139 (0.345) Data 0.001 (0.267) Loss 2.7617 (2.6810) Prec@1 40.234 (35.174) Prec@5 64.062 (65.523) Epoch: [11][1320/5809] Time 0.161 (0.345) Data 0.102 (0.267) Loss 2.5650 (2.6810) Prec@1 35.938 (35.177) Prec@5 66.797 (65.524) Epoch: [11][1330/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.6449 (2.6807) Prec@1 30.469 (35.179) Prec@5 68.359 (65.528) Epoch: [11][1340/5809] Time 0.183 (0.344) Data 0.122 (0.266) Loss 2.7429 (2.6813) Prec@1 33.594 (35.178) Prec@5 64.844 (65.515) Epoch: [11][1350/5809] Time 0.328 (0.345) Data 0.268 (0.267) Loss 2.6945 (2.6816) Prec@1 31.641 (35.172) Prec@5 62.891 (65.508) Epoch: [11][1360/5809] Time 0.134 (0.345) Data 0.001 (0.266) Loss 2.8856 (2.6815) Prec@1 36.719 (35.178) Prec@5 60.156 (65.510) Epoch: [11][1370/5809] Time 0.129 (0.345) Data 0.046 (0.266) Loss 2.8110 (2.6815) Prec@1 36.328 (35.178) Prec@5 64.844 (65.516) Epoch: [11][1380/5809] Time 0.134 (0.345) Data 0.001 (0.266) Loss 2.4690 (2.6812) Prec@1 43.359 (35.194) Prec@5 71.875 (65.518) Epoch: [11][1390/5809] Time 0.175 (0.344) Data 0.114 (0.266) Loss 2.6372 (2.6811) Prec@1 35.547 (35.196) Prec@5 68.359 (65.516) Epoch: [11][1400/5809] Time 0.432 (0.345) Data 0.374 (0.267) Loss 2.5021 (2.6812) Prec@1 42.578 (35.204) Prec@5 66.797 (65.507) Epoch: [11][1410/5809] Time 0.139 (0.344) Data 0.079 (0.266) Loss 2.6490 (2.6813) Prec@1 31.250 (35.199) Prec@5 66.016 (65.512) Epoch: [11][1420/5809] Time 0.147 (0.345) Data 0.086 (0.267) Loss 2.7013 (2.6813) Prec@1 35.938 (35.197) Prec@5 62.891 (65.505) Epoch: [11][1430/5809] Time 0.131 (0.344) Data 0.051 (0.266) Loss 2.7077 (2.6813) Prec@1 34.766 (35.197) Prec@5 68.359 (65.507) Epoch: [11][1440/5809] Time 0.132 (0.345) Data 0.059 (0.267) Loss 2.7595 (2.6812) Prec@1 33.984 (35.199) Prec@5 62.891 (65.511) Epoch: [11][1450/5809] Time 0.132 (0.344) Data 0.039 (0.266) Loss 2.5842 (2.6810) Prec@1 39.062 (35.203) Prec@5 70.312 (65.512) Epoch: [11][1460/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.6388 (2.6811) Prec@1 33.984 (35.207) Prec@5 67.578 (65.516) Epoch: [11][1470/5809] Time 0.133 (0.345) Data 0.001 (0.266) Loss 2.8153 (2.6813) Prec@1 33.203 (35.201) Prec@5 64.062 (65.508) Epoch: [11][1480/5809] Time 0.379 (0.345) Data 0.320 (0.267) Loss 2.8240 (2.6816) Prec@1 35.156 (35.201) Prec@5 62.891 (65.504) Epoch: [11][1490/5809] Time 0.313 (0.345) Data 0.254 (0.267) Loss 2.5350 (2.6818) Prec@1 40.234 (35.201) Prec@5 67.188 (65.501) Epoch: [11][1500/5809] Time 0.306 (0.345) Data 0.246 (0.267) Loss 2.5834 (2.6819) Prec@1 40.625 (35.193) Prec@5 66.406 (65.498) Epoch: [11][1510/5809] Time 0.159 (0.345) Data 0.098 (0.267) Loss 2.6747 (2.6816) Prec@1 38.281 (35.201) Prec@5 65.625 (65.512) Epoch: [11][1520/5809] Time 0.132 (0.345) Data 0.046 (0.267) Loss 2.6304 (2.6821) Prec@1 36.328 (35.204) Prec@5 65.234 (65.502) Epoch: [11][1530/5809] Time 0.165 (0.345) Data 0.105 (0.267) Loss 2.5496 (2.6821) Prec@1 41.797 (35.202) Prec@5 64.844 (65.498) Epoch: [11][1540/5809] Time 0.132 (0.345) Data 0.051 (0.267) Loss 2.6319 (2.6821) Prec@1 33.594 (35.203) Prec@5 65.234 (65.500) Epoch: [11][1550/5809] Time 0.161 (0.344) Data 0.101 (0.267) Loss 2.7482 (2.6823) Prec@1 34.766 (35.203) Prec@5 62.500 (65.499) Epoch: [11][1560/5809] Time 0.207 (0.344) Data 0.148 (0.267) Loss 2.6834 (2.6820) Prec@1 31.641 (35.208) Prec@5 64.453 (65.505) Epoch: [11][1570/5809] Time 0.250 (0.344) Data 0.191 (0.267) Loss 2.7373 (2.6815) Prec@1 35.156 (35.214) Prec@5 64.453 (65.514) Epoch: [11][1580/5809] Time 0.127 (0.344) Data 0.050 (0.267) Loss 2.6580 (2.6818) Prec@1 37.500 (35.215) Prec@5 63.281 (65.509) Epoch: [11][1590/5809] Time 0.128 (0.344) Data 0.044 (0.267) Loss 2.9062 (2.6820) Prec@1 34.375 (35.220) Prec@5 61.328 (65.499) Epoch: [11][1600/5809] Time 0.189 (0.345) Data 0.129 (0.267) Loss 2.6273 (2.6818) Prec@1 37.500 (35.218) Prec@5 66.797 (65.504) Epoch: [11][1610/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.6878 (2.6818) Prec@1 32.422 (35.215) Prec@5 63.281 (65.505) Epoch: [11][1620/5809] Time 0.305 (0.345) Data 0.240 (0.267) Loss 2.7366 (2.6817) Prec@1 32.422 (35.221) Prec@5 66.406 (65.508) Epoch: [11][1630/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.8331 (2.6818) Prec@1 33.594 (35.215) Prec@5 62.500 (65.504) Epoch: [11][1640/5809] Time 0.140 (0.345) Data 0.001 (0.267) Loss 2.4889 (2.6818) Prec@1 35.156 (35.218) Prec@5 65.234 (65.508) Epoch: [11][1650/5809] Time 0.141 (0.344) Data 0.080 (0.267) Loss 2.6450 (2.6815) Prec@1 32.812 (35.227) Prec@5 68.750 (65.515) Epoch: [11][1660/5809] Time 0.133 (0.345) Data 0.073 (0.267) Loss 2.6892 (2.6817) Prec@1 33.594 (35.226) Prec@5 65.625 (65.514) Epoch: [11][1670/5809] Time 0.134 (0.344) Data 0.058 (0.267) Loss 2.8895 (2.6822) Prec@1 36.328 (35.221) Prec@5 63.281 (65.505) Epoch: [11][1680/5809] Time 0.438 (0.345) Data 0.373 (0.267) Loss 2.7129 (2.6823) Prec@1 35.547 (35.222) Prec@5 63.672 (65.499) Epoch: [11][1690/5809] Time 0.133 (0.344) Data 0.060 (0.267) Loss 2.4165 (2.6821) Prec@1 38.281 (35.224) Prec@5 67.969 (65.504) Epoch: [11][1700/5809] Time 0.133 (0.344) Data 0.058 (0.267) Loss 2.5442 (2.6820) Prec@1 39.453 (35.229) Prec@5 66.797 (65.506) Epoch: [11][1710/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.6208 (2.6819) Prec@1 31.641 (35.225) Prec@5 64.844 (65.506) Epoch: [11][1720/5809] Time 0.139 (0.344) Data 0.052 (0.267) Loss 2.9371 (2.6817) Prec@1 32.031 (35.227) Prec@5 58.203 (65.504) Epoch: [11][1730/5809] Time 0.128 (0.344) Data 0.046 (0.266) Loss 2.6945 (2.6821) Prec@1 30.078 (35.222) Prec@5 70.703 (65.504) Epoch: [11][1740/5809] Time 0.133 (0.344) Data 0.056 (0.266) Loss 2.7677 (2.6820) Prec@1 32.031 (35.215) Prec@5 64.844 (65.509) Epoch: [11][1750/5809] Time 0.132 (0.344) Data 0.045 (0.266) Loss 2.5986 (2.6821) Prec@1 33.594 (35.210) Prec@5 67.188 (65.506) Epoch: [11][1760/5809] Time 0.138 (0.344) Data 0.001 (0.266) Loss 2.6087 (2.6821) Prec@1 38.281 (35.204) Prec@5 67.969 (65.509) Epoch: [11][1770/5809] Time 0.128 (0.344) Data 0.052 (0.266) Loss 2.5768 (2.6824) Prec@1 39.062 (35.197) Prec@5 64.453 (65.503) Epoch: [11][1780/5809] Time 0.206 (0.344) Data 0.145 (0.266) Loss 2.7177 (2.6822) Prec@1 31.641 (35.199) Prec@5 64.844 (65.503) Epoch: [11][1790/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.7074 (2.6820) Prec@1 36.719 (35.208) Prec@5 62.109 (65.504) Epoch: [11][1800/5809] Time 0.148 (0.344) Data 0.090 (0.266) Loss 2.7273 (2.6823) Prec@1 35.938 (35.198) Prec@5 65.234 (65.500) Epoch: [11][1810/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.4532 (2.6818) Prec@1 35.156 (35.206) Prec@5 71.094 (65.514) Epoch: [11][1820/5809] Time 0.161 (0.344) Data 0.101 (0.266) Loss 2.6077 (2.6818) Prec@1 35.938 (35.204) Prec@5 68.750 (65.521) Epoch: [11][1830/5809] Time 0.143 (0.344) Data 0.083 (0.266) Loss 2.6858 (2.6819) Prec@1 32.812 (35.205) Prec@5 66.016 (65.516) Epoch: [11][1840/5809] Time 0.130 (0.344) Data 0.044 (0.266) Loss 2.6252 (2.6823) Prec@1 39.453 (35.204) Prec@5 69.141 (65.508) Epoch: [11][1850/5809] Time 0.136 (0.344) Data 0.074 (0.266) Loss 2.6963 (2.6825) Prec@1 32.031 (35.197) Prec@5 66.016 (65.508) Epoch: [11][1860/5809] Time 0.157 (0.344) Data 0.096 (0.266) Loss 2.4235 (2.6823) Prec@1 41.016 (35.204) Prec@5 68.359 (65.514) Epoch: [11][1870/5809] Time 0.310 (0.344) Data 0.249 (0.266) Loss 2.5707 (2.6825) Prec@1 41.797 (35.204) Prec@5 67.969 (65.512) Epoch: [11][1880/5809] Time 0.143 (0.344) Data 0.083 (0.266) Loss 2.4903 (2.6822) Prec@1 37.500 (35.209) Prec@5 72.266 (65.521) Epoch: [11][1890/5809] Time 0.134 (0.344) Data 0.068 (0.266) Loss 2.6419 (2.6822) Prec@1 34.766 (35.209) Prec@5 68.359 (65.518) Epoch: [11][1900/5809] Time 0.356 (0.344) Data 0.297 (0.266) Loss 2.6897 (2.6826) Prec@1 33.984 (35.211) Prec@5 63.281 (65.507) Epoch: [11][1910/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.7430 (2.6824) Prec@1 29.297 (35.215) Prec@5 64.844 (65.511) Epoch: [11][1920/5809] Time 0.416 (0.344) Data 0.358 (0.267) Loss 2.6379 (2.6824) Prec@1 33.203 (35.216) Prec@5 66.016 (65.512) Epoch: [11][1930/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.8776 (2.6826) Prec@1 30.859 (35.212) Prec@5 58.984 (65.502) Epoch: [11][1940/5809] Time 0.545 (0.344) Data 0.485 (0.267) Loss 2.5830 (2.6826) Prec@1 35.547 (35.209) Prec@5 66.016 (65.504) Epoch: [11][1950/5809] Time 0.138 (0.344) Data 0.001 (0.267) Loss 2.7222 (2.6827) Prec@1 36.719 (35.215) Prec@5 67.969 (65.502) Epoch: [11][1960/5809] Time 0.513 (0.344) Data 0.455 (0.267) Loss 2.5805 (2.6822) Prec@1 35.938 (35.228) Prec@5 66.406 (65.508) Epoch: [11][1970/5809] Time 0.314 (0.344) Data 0.249 (0.267) Loss 2.5415 (2.6822) Prec@1 40.234 (35.233) Prec@5 67.188 (65.508) Epoch: [11][1980/5809] Time 0.548 (0.344) Data 0.488 (0.267) Loss 2.5692 (2.6824) Prec@1 39.062 (35.226) Prec@5 68.359 (65.504) Epoch: [11][1990/5809] Time 0.387 (0.344) Data 0.327 (0.267) Loss 2.6971 (2.6824) Prec@1 33.984 (35.227) Prec@5 66.797 (65.503) Epoch: [11][2000/5809] Time 0.631 (0.344) Data 0.564 (0.267) Loss 2.8522 (2.6825) Prec@1 31.641 (35.225) Prec@5 62.891 (65.503) Epoch: [11][2010/5809] Time 0.288 (0.344) Data 0.228 (0.267) Loss 2.6446 (2.6823) Prec@1 34.375 (35.228) Prec@5 65.234 (65.507) Epoch: [11][2020/5809] Time 0.478 (0.344) Data 0.418 (0.267) Loss 2.5195 (2.6824) Prec@1 39.062 (35.229) Prec@5 69.141 (65.505) Epoch: [11][2030/5809] Time 0.601 (0.345) Data 0.541 (0.267) Loss 2.7539 (2.6824) Prec@1 32.031 (35.230) Prec@5 64.062 (65.505) Epoch: [11][2040/5809] Time 0.466 (0.344) Data 0.405 (0.267) Loss 2.6043 (2.6821) Prec@1 33.203 (35.232) Prec@5 63.672 (65.512) Epoch: [11][2050/5809] Time 0.583 (0.344) Data 0.522 (0.267) Loss 2.6965 (2.6820) Prec@1 33.984 (35.231) Prec@5 64.062 (65.516) Epoch: [11][2060/5809] Time 0.641 (0.344) Data 0.581 (0.267) Loss 2.4678 (2.6820) Prec@1 39.453 (35.231) Prec@5 71.875 (65.519) Epoch: [11][2070/5809] Time 0.256 (0.344) Data 0.196 (0.267) Loss 2.5165 (2.6823) Prec@1 34.375 (35.226) Prec@5 67.578 (65.513) Epoch: [11][2080/5809] Time 0.439 (0.344) Data 0.379 (0.267) Loss 2.5982 (2.6826) Prec@1 35.547 (35.218) Prec@5 64.844 (65.505) Epoch: [11][2090/5809] Time 0.141 (0.344) Data 0.079 (0.267) Loss 2.9167 (2.6825) Prec@1 28.906 (35.218) Prec@5 61.719 (65.509) Epoch: [11][2100/5809] Time 0.342 (0.344) Data 0.282 (0.267) Loss 2.6718 (2.6825) Prec@1 32.422 (35.220) Prec@5 63.281 (65.510) Epoch: [11][2110/5809] Time 0.148 (0.344) Data 0.087 (0.267) Loss 2.6918 (2.6825) Prec@1 36.719 (35.225) Prec@5 66.406 (65.513) Epoch: [11][2120/5809] Time 0.356 (0.344) Data 0.296 (0.267) Loss 2.6689 (2.6826) Prec@1 37.109 (35.225) Prec@5 65.625 (65.510) Epoch: [11][2130/5809] Time 0.187 (0.344) Data 0.126 (0.267) Loss 2.5796 (2.6824) Prec@1 39.062 (35.227) Prec@5 67.578 (65.508) Epoch: [11][2140/5809] Time 0.245 (0.344) Data 0.184 (0.267) Loss 2.6670 (2.6823) Prec@1 35.156 (35.228) Prec@5 67.969 (65.510) Epoch: [11][2150/5809] Time 0.137 (0.344) Data 0.076 (0.267) Loss 2.7269 (2.6825) Prec@1 33.203 (35.226) Prec@5 65.625 (65.509) Epoch: [11][2160/5809] Time 0.175 (0.344) Data 0.116 (0.267) Loss 2.5745 (2.6823) Prec@1 36.719 (35.227) Prec@5 66.016 (65.512) Epoch: [11][2170/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.6680 (2.6825) Prec@1 37.109 (35.224) Prec@5 64.062 (65.508) Epoch: [11][2180/5809] Time 0.134 (0.344) Data 0.044 (0.267) Loss 2.5612 (2.6826) Prec@1 35.547 (35.218) Prec@5 66.016 (65.502) Epoch: [11][2190/5809] Time 0.139 (0.344) Data 0.001 (0.267) Loss 2.7069 (2.6823) Prec@1 34.766 (35.221) Prec@5 67.969 (65.511) Epoch: [11][2200/5809] Time 0.171 (0.344) Data 0.111 (0.267) Loss 2.5149 (2.6822) Prec@1 38.281 (35.224) Prec@5 69.141 (65.517) Epoch: [11][2210/5809] Time 0.132 (0.344) Data 0.045 (0.267) Loss 2.4019 (2.6825) Prec@1 41.016 (35.218) Prec@5 69.141 (65.511) Epoch: [11][2220/5809] Time 0.249 (0.344) Data 0.189 (0.267) Loss 2.6478 (2.6826) Prec@1 33.203 (35.210) Prec@5 63.281 (65.509) Epoch: [11][2230/5809] Time 0.186 (0.344) Data 0.125 (0.267) Loss 2.5810 (2.6826) Prec@1 33.984 (35.207) Prec@5 68.359 (65.509) Epoch: [11][2240/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.3661 (2.6822) Prec@1 39.062 (35.217) Prec@5 71.484 (65.513) Epoch: [11][2250/5809] Time 0.236 (0.344) Data 0.177 (0.267) Loss 2.7079 (2.6821) Prec@1 35.547 (35.219) Prec@5 65.234 (65.516) Epoch: [11][2260/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.7224 (2.6818) Prec@1 37.500 (35.229) Prec@5 64.062 (65.516) Epoch: [11][2270/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.7354 (2.6818) Prec@1 33.203 (35.235) Prec@5 66.016 (65.516) Epoch: [11][2280/5809] Time 0.134 (0.344) Data 0.069 (0.267) Loss 2.7381 (2.6822) Prec@1 33.594 (35.230) Prec@5 65.625 (65.512) Epoch: [11][2290/5809] Time 0.127 (0.344) Data 0.055 (0.267) Loss 2.6956 (2.6820) Prec@1 34.375 (35.235) Prec@5 67.969 (65.512) Epoch: [11][2300/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.6042 (2.6822) Prec@1 37.109 (35.235) Prec@5 71.094 (65.505) Epoch: [11][2310/5809] Time 0.237 (0.344) Data 0.177 (0.267) Loss 2.5678 (2.6822) Prec@1 39.844 (35.233) Prec@5 66.797 (65.508) Epoch: [11][2320/5809] Time 0.340 (0.344) Data 0.280 (0.267) Loss 2.8491 (2.6822) Prec@1 32.031 (35.233) Prec@5 61.328 (65.509) Epoch: [11][2330/5809] Time 0.413 (0.344) Data 0.353 (0.268) Loss 2.4967 (2.6821) Prec@1 42.188 (35.235) Prec@5 71.094 (65.513) Epoch: [11][2340/5809] Time 0.441 (0.345) Data 0.381 (0.268) Loss 2.9192 (2.6821) Prec@1 34.375 (35.235) Prec@5 60.547 (65.514) Epoch: [11][2350/5809] Time 0.524 (0.344) Data 0.463 (0.268) Loss 2.5139 (2.6822) Prec@1 40.234 (35.233) Prec@5 68.359 (65.515) Epoch: [11][2360/5809] Time 0.309 (0.344) Data 0.242 (0.268) Loss 2.5283 (2.6823) Prec@1 40.625 (35.233) Prec@5 67.969 (65.515) Epoch: [11][2370/5809] Time 0.672 (0.345) Data 0.613 (0.268) Loss 2.8462 (2.6822) Prec@1 36.719 (35.238) Prec@5 61.719 (65.517) Epoch: [11][2380/5809] Time 0.344 (0.344) Data 0.283 (0.268) Loss 2.6921 (2.6823) Prec@1 33.984 (35.238) Prec@5 69.141 (65.518) Epoch: [11][2390/5809] Time 0.595 (0.345) Data 0.536 (0.268) Loss 2.7841 (2.6825) Prec@1 32.422 (35.238) Prec@5 65.234 (65.513) Epoch: [11][2400/5809] Time 0.408 (0.344) Data 0.341 (0.268) Loss 2.6376 (2.6823) Prec@1 36.328 (35.243) Prec@5 64.453 (65.518) Epoch: [11][2410/5809] Time 0.695 (0.345) Data 0.636 (0.268) Loss 2.6481 (2.6824) Prec@1 37.500 (35.239) Prec@5 67.188 (65.516) Epoch: [11][2420/5809] Time 0.293 (0.344) Data 0.224 (0.267) Loss 2.7695 (2.6824) Prec@1 32.812 (35.243) Prec@5 62.109 (65.514) Epoch: [11][2430/5809] Time 0.897 (0.345) Data 0.827 (0.268) Loss 2.4868 (2.6824) Prec@1 40.234 (35.245) Prec@5 67.578 (65.510) Epoch: [11][2440/5809] Time 0.144 (0.344) Data 0.001 (0.267) Loss 2.6960 (2.6826) Prec@1 37.109 (35.243) Prec@5 64.844 (65.507) Epoch: [11][2450/5809] Time 0.753 (0.345) Data 0.693 (0.267) Loss 2.6190 (2.6824) Prec@1 33.203 (35.241) Prec@5 64.844 (65.502) Epoch: [11][2460/5809] Time 0.132 (0.344) Data 0.001 (0.267) Loss 2.5919 (2.6822) Prec@1 34.766 (35.243) Prec@5 68.750 (65.507) Epoch: [11][2470/5809] Time 0.513 (0.344) Data 0.453 (0.267) Loss 2.6300 (2.6820) Prec@1 33.984 (35.243) Prec@5 64.062 (65.510) Epoch: [11][2480/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.6085 (2.6819) Prec@1 39.062 (35.246) Prec@5 64.453 (65.510) Epoch: [11][2490/5809] Time 0.237 (0.344) Data 0.177 (0.267) Loss 2.9025 (2.6818) Prec@1 33.594 (35.252) Prec@5 60.156 (65.512) Epoch: [11][2500/5809] Time 0.463 (0.345) Data 0.403 (0.267) Loss 2.7853 (2.6820) Prec@1 34.375 (35.253) Prec@5 62.891 (65.509) Epoch: [11][2510/5809] Time 0.152 (0.344) Data 0.091 (0.267) Loss 2.4636 (2.6817) Prec@1 39.453 (35.257) Prec@5 71.094 (65.511) Epoch: [11][2520/5809] Time 0.518 (0.345) Data 0.459 (0.267) Loss 2.8868 (2.6817) Prec@1 30.078 (35.258) Prec@5 60.547 (65.515) Epoch: [11][2530/5809] Time 0.727 (0.345) Data 0.660 (0.267) Loss 2.7479 (2.6817) Prec@1 33.984 (35.260) Prec@5 60.938 (65.508) Epoch: [11][2540/5809] Time 0.134 (0.344) Data 0.050 (0.267) Loss 2.8327 (2.6814) Prec@1 32.422 (35.263) Prec@5 64.062 (65.514) Epoch: [11][2550/5809] Time 1.105 (0.345) Data 1.044 (0.267) Loss 2.6507 (2.6812) Prec@1 34.766 (35.266) Prec@5 66.797 (65.517) Epoch: [11][2560/5809] Time 0.141 (0.345) Data 0.001 (0.267) Loss 2.5643 (2.6810) Prec@1 36.328 (35.269) Prec@5 66.797 (65.520) Epoch: [11][2570/5809] Time 0.994 (0.345) Data 0.924 (0.267) Loss 2.6438 (2.6809) Prec@1 39.062 (35.271) Prec@5 62.891 (65.520) Epoch: [11][2580/5809] Time 0.133 (0.345) Data 0.040 (0.267) Loss 2.6952 (2.6810) Prec@1 31.641 (35.271) Prec@5 66.406 (65.519) Epoch: [11][2590/5809] Time 0.884 (0.345) Data 0.824 (0.267) Loss 2.6523 (2.6807) Prec@1 37.500 (35.277) Prec@5 68.750 (65.521) Epoch: [11][2600/5809] Time 0.141 (0.345) Data 0.001 (0.267) Loss 2.7485 (2.6810) Prec@1 35.547 (35.269) Prec@5 64.453 (65.517) Epoch: [11][2610/5809] Time 0.690 (0.345) Data 0.625 (0.267) Loss 2.7407 (2.6810) Prec@1 32.031 (35.268) Prec@5 63.281 (65.514) Epoch: [11][2620/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.6950 (2.6809) Prec@1 30.859 (35.270) Prec@5 63.281 (65.514) Epoch: [11][2630/5809] Time 0.798 (0.345) Data 0.737 (0.267) Loss 2.7070 (2.6809) Prec@1 37.891 (35.271) Prec@5 63.281 (65.511) Epoch: [11][2640/5809] Time 0.128 (0.344) Data 0.049 (0.266) Loss 2.6045 (2.6808) Prec@1 37.891 (35.276) Prec@5 68.359 (65.513) Epoch: [11][2650/5809] Time 0.538 (0.345) Data 0.478 (0.267) Loss 2.5627 (2.6808) Prec@1 39.844 (35.278) Prec@5 64.844 (65.513) Epoch: [11][2660/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.5653 (2.6807) Prec@1 33.984 (35.275) Prec@5 70.703 (65.514) Epoch: [11][2670/5809] Time 0.691 (0.345) Data 0.622 (0.267) Loss 2.5826 (2.6810) Prec@1 37.500 (35.272) Prec@5 68.359 (65.512) Epoch: [11][2680/5809] Time 0.140 (0.344) Data 0.001 (0.266) Loss 2.6469 (2.6811) Prec@1 34.766 (35.265) Prec@5 69.141 (65.507) Epoch: [11][2690/5809] Time 0.851 (0.345) Data 0.791 (0.266) Loss 2.6504 (2.6812) Prec@1 39.062 (35.264) Prec@5 65.234 (65.507) Epoch: [11][2700/5809] Time 0.134 (0.344) Data 0.040 (0.266) Loss 2.7875 (2.6813) Prec@1 32.422 (35.263) Prec@5 61.719 (65.506) Epoch: [11][2710/5809] Time 0.984 (0.345) Data 0.926 (0.266) Loss 2.5266 (2.6813) Prec@1 38.281 (35.264) Prec@5 68.359 (65.505) Epoch: [11][2720/5809] Time 0.190 (0.344) Data 0.131 (0.266) Loss 2.7031 (2.6814) Prec@1 32.422 (35.264) Prec@5 66.406 (65.504) Epoch: [11][2730/5809] Time 0.860 (0.345) Data 0.802 (0.266) Loss 2.7099 (2.6815) Prec@1 34.375 (35.262) Prec@5 65.234 (65.501) Epoch: [11][2740/5809] Time 0.385 (0.344) Data 0.326 (0.266) Loss 2.5452 (2.6818) Prec@1 40.625 (35.259) Prec@5 67.578 (65.493) Epoch: [11][2750/5809] Time 0.644 (0.345) Data 0.583 (0.266) Loss 2.9418 (2.6818) Prec@1 30.469 (35.259) Prec@5 62.500 (65.494) Epoch: [11][2760/5809] Time 0.127 (0.344) Data 0.058 (0.266) Loss 2.8109 (2.6819) Prec@1 35.156 (35.255) Prec@5 64.453 (65.490) Epoch: [11][2770/5809] Time 0.225 (0.345) Data 0.165 (0.266) Loss 2.6763 (2.6820) Prec@1 30.078 (35.251) Prec@5 60.938 (65.483) Epoch: [11][2780/5809] Time 0.435 (0.345) Data 0.375 (0.266) Loss 2.8241 (2.6822) Prec@1 35.547 (35.251) Prec@5 63.672 (65.479) Epoch: [11][2790/5809] Time 0.140 (0.345) Data 0.001 (0.267) Loss 2.4892 (2.6822) Prec@1 37.891 (35.252) Prec@5 69.922 (65.478) Epoch: [11][2800/5809] Time 0.433 (0.345) Data 0.374 (0.266) Loss 2.6802 (2.6825) Prec@1 33.984 (35.249) Prec@5 64.844 (65.473) Epoch: [11][2810/5809] Time 0.141 (0.345) Data 0.008 (0.266) Loss 2.6688 (2.6825) Prec@1 38.672 (35.249) Prec@5 66.406 (65.470) Epoch: [11][2820/5809] Time 0.206 (0.345) Data 0.147 (0.266) Loss 2.7153 (2.6825) Prec@1 34.375 (35.247) Prec@5 67.188 (65.473) Epoch: [11][2830/5809] Time 0.133 (0.345) Data 0.001 (0.266) Loss 2.6494 (2.6824) Prec@1 39.062 (35.246) Prec@5 64.453 (65.471) Epoch: [11][2840/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.7288 (2.6822) Prec@1 35.156 (35.254) Prec@5 64.844 (65.476) Epoch: [11][2850/5809] Time 0.431 (0.345) Data 0.365 (0.266) Loss 2.4377 (2.6823) Prec@1 39.062 (35.253) Prec@5 69.141 (65.475) Epoch: [11][2860/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.7108 (2.6823) Prec@1 32.812 (35.254) Prec@5 67.188 (65.476) Epoch: [11][2870/5809] Time 0.468 (0.345) Data 0.404 (0.266) Loss 2.7857 (2.6821) Prec@1 32.031 (35.258) Prec@5 62.109 (65.480) Epoch: [11][2880/5809] Time 0.318 (0.344) Data 0.259 (0.266) Loss 2.6883 (2.6819) Prec@1 34.375 (35.259) Prec@5 58.984 (65.479) Epoch: [11][2890/5809] Time 0.334 (0.344) Data 0.274 (0.266) Loss 2.8099 (2.6820) Prec@1 33.594 (35.258) Prec@5 66.797 (65.482) Epoch: [11][2900/5809] Time 0.623 (0.345) Data 0.562 (0.266) Loss 2.6754 (2.6820) Prec@1 32.812 (35.256) Prec@5 65.625 (65.482) Epoch: [11][2910/5809] Time 0.126 (0.344) Data 0.053 (0.266) Loss 2.6465 (2.6820) Prec@1 36.328 (35.259) Prec@5 66.406 (65.486) Epoch: [11][2920/5809] Time 0.839 (0.345) Data 0.780 (0.266) Loss 2.6967 (2.6822) Prec@1 35.938 (35.252) Prec@5 64.453 (65.480) Epoch: [11][2930/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.6177 (2.6825) Prec@1 36.328 (35.248) Prec@5 67.578 (65.480) Epoch: [11][2940/5809] Time 0.857 (0.345) Data 0.799 (0.266) Loss 2.6788 (2.6825) Prec@1 34.766 (35.245) Prec@5 61.328 (65.482) Epoch: [11][2950/5809] Time 0.150 (0.344) Data 0.090 (0.266) Loss 2.7014 (2.6826) Prec@1 34.375 (35.249) Prec@5 64.062 (65.477) Epoch: [11][2960/5809] Time 0.653 (0.344) Data 0.592 (0.266) Loss 2.6690 (2.6828) Prec@1 39.062 (35.244) Prec@5 67.969 (65.474) Epoch: [11][2970/5809] Time 0.127 (0.344) Data 0.045 (0.266) Loss 2.5844 (2.6828) Prec@1 37.891 (35.244) Prec@5 67.969 (65.474) Epoch: [11][2980/5809] Time 0.548 (0.344) Data 0.489 (0.266) Loss 2.7336 (2.6828) Prec@1 33.984 (35.244) Prec@5 66.016 (65.473) Epoch: [11][2990/5809] Time 0.140 (0.344) Data 0.014 (0.266) Loss 2.8484 (2.6826) Prec@1 36.328 (35.245) Prec@5 65.234 (65.475) Epoch: [11][3000/5809] Time 0.719 (0.344) Data 0.659 (0.266) Loss 2.4650 (2.6825) Prec@1 41.016 (35.248) Prec@5 67.188 (65.478) Epoch: [11][3010/5809] Time 0.180 (0.344) Data 0.120 (0.266) Loss 2.9069 (2.6825) Prec@1 33.203 (35.249) Prec@5 63.281 (65.482) Epoch: [11][3020/5809] Time 0.490 (0.344) Data 0.429 (0.266) Loss 2.9756 (2.6826) Prec@1 32.422 (35.246) Prec@5 58.594 (65.479) Epoch: [11][3030/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.5573 (2.6826) Prec@1 37.500 (35.246) Prec@5 67.188 (65.479) Epoch: [11][3040/5809] Time 0.445 (0.344) Data 0.385 (0.266) Loss 2.6035 (2.6828) Prec@1 37.500 (35.241) Prec@5 66.016 (65.474) Epoch: [11][3050/5809] Time 0.134 (0.344) Data 0.073 (0.266) Loss 2.8341 (2.6829) Prec@1 29.688 (35.241) Prec@5 62.500 (65.471) Epoch: [11][3060/5809] Time 0.379 (0.344) Data 0.320 (0.266) Loss 2.6180 (2.6830) Prec@1 32.812 (35.240) Prec@5 66.406 (65.469) Epoch: [11][3070/5809] Time 0.129 (0.344) Data 0.001 (0.266) Loss 2.8199 (2.6830) Prec@1 30.078 (35.239) Prec@5 63.281 (65.465) Epoch: [11][3080/5809] Time 0.325 (0.344) Data 0.265 (0.266) Loss 2.7366 (2.6832) Prec@1 40.234 (35.241) Prec@5 64.844 (65.463) Epoch: [11][3090/5809] Time 0.348 (0.344) Data 0.288 (0.266) Loss 2.6717 (2.6829) Prec@1 35.547 (35.245) Prec@5 63.672 (65.466) Epoch: [11][3100/5809] Time 0.523 (0.344) Data 0.463 (0.266) Loss 2.5726 (2.6829) Prec@1 34.375 (35.248) Prec@5 69.922 (65.468) Epoch: [11][3110/5809] Time 0.303 (0.344) Data 0.243 (0.266) Loss 2.4669 (2.6829) Prec@1 40.234 (35.247) Prec@5 69.922 (65.466) Epoch: [11][3120/5809] Time 0.544 (0.344) Data 0.486 (0.266) Loss 2.6918 (2.6830) Prec@1 34.375 (35.246) Prec@5 66.406 (65.464) Epoch: [11][3130/5809] Time 0.131 (0.344) Data 0.051 (0.266) Loss 2.4230 (2.6830) Prec@1 41.016 (35.245) Prec@5 71.875 (65.464) Epoch: [11][3140/5809] Time 0.782 (0.344) Data 0.723 (0.266) Loss 2.8399 (2.6830) Prec@1 32.422 (35.246) Prec@5 62.891 (65.465) Epoch: [11][3150/5809] Time 0.351 (0.344) Data 0.290 (0.266) Loss 2.9521 (2.6831) Prec@1 33.984 (35.240) Prec@5 62.109 (65.463) Epoch: [11][3160/5809] Time 0.801 (0.344) Data 0.732 (0.266) Loss 2.7135 (2.6831) Prec@1 36.719 (35.239) Prec@5 66.406 (65.462) Epoch: [11][3170/5809] Time 0.254 (0.344) Data 0.188 (0.266) Loss 2.9090 (2.6831) Prec@1 31.250 (35.240) Prec@5 60.938 (65.464) Epoch: [11][3180/5809] Time 0.788 (0.344) Data 0.726 (0.266) Loss 2.7735 (2.6832) Prec@1 33.984 (35.239) Prec@5 64.062 (65.464) Epoch: [11][3190/5809] Time 0.325 (0.344) Data 0.263 (0.266) Loss 2.7994 (2.6833) Prec@1 36.719 (35.241) Prec@5 63.281 (65.463) Epoch: [11][3200/5809] Time 0.704 (0.344) Data 0.639 (0.266) Loss 2.5833 (2.6832) Prec@1 36.328 (35.244) Prec@5 63.281 (65.460) Epoch: [11][3210/5809] Time 0.217 (0.344) Data 0.156 (0.266) Loss 2.5375 (2.6832) Prec@1 35.547 (35.244) Prec@5 64.062 (65.459) Epoch: [11][3220/5809] Time 0.921 (0.344) Data 0.861 (0.266) Loss 2.6931 (2.6833) Prec@1 35.156 (35.242) Prec@5 67.969 (65.458) Epoch: [11][3230/5809] Time 0.130 (0.344) Data 0.045 (0.266) Loss 2.8411 (2.6832) Prec@1 37.891 (35.243) Prec@5 64.453 (65.461) Epoch: [11][3240/5809] Time 0.967 (0.344) Data 0.897 (0.266) Loss 2.4549 (2.6831) Prec@1 37.500 (35.241) Prec@5 71.094 (65.466) Epoch: [11][3250/5809] Time 0.305 (0.344) Data 0.244 (0.266) Loss 2.7792 (2.6831) Prec@1 33.594 (35.241) Prec@5 65.234 (65.465) Epoch: [11][3260/5809] Time 0.632 (0.344) Data 0.573 (0.266) Loss 2.6747 (2.6831) Prec@1 34.375 (35.245) Prec@5 65.234 (65.464) Epoch: [11][3270/5809] Time 0.470 (0.344) Data 0.410 (0.266) Loss 3.0007 (2.6831) Prec@1 35.938 (35.241) Prec@5 62.109 (65.468) Epoch: [11][3280/5809] Time 0.599 (0.344) Data 0.539 (0.266) Loss 2.4882 (2.6830) Prec@1 36.328 (35.243) Prec@5 69.141 (65.470) Epoch: [11][3290/5809] Time 0.262 (0.344) Data 0.201 (0.266) Loss 2.6474 (2.6829) Prec@1 37.891 (35.245) Prec@5 68.359 (65.470) Epoch: [11][3300/5809] Time 0.775 (0.344) Data 0.715 (0.266) Loss 2.6045 (2.6830) Prec@1 33.984 (35.239) Prec@5 66.406 (65.466) Epoch: [11][3310/5809] Time 0.245 (0.344) Data 0.185 (0.266) Loss 2.7660 (2.6830) Prec@1 33.203 (35.237) Prec@5 62.891 (65.467) Epoch: [11][3320/5809] Time 0.478 (0.344) Data 0.419 (0.266) Loss 2.7124 (2.6830) Prec@1 32.422 (35.238) Prec@5 67.188 (65.469) Epoch: [11][3330/5809] Time 0.294 (0.344) Data 0.227 (0.266) Loss 2.8694 (2.6831) Prec@1 37.500 (35.236) Prec@5 61.719 (65.464) Epoch: [11][3340/5809] Time 0.320 (0.344) Data 0.260 (0.266) Loss 2.7615 (2.6831) Prec@1 32.812 (35.233) Prec@5 65.234 (65.460) Epoch: [11][3350/5809] Time 0.181 (0.344) Data 0.120 (0.266) Loss 2.8210 (2.6829) Prec@1 33.203 (35.240) Prec@5 62.109 (65.466) Epoch: [11][3360/5809] Time 0.197 (0.344) Data 0.136 (0.266) Loss 2.8326 (2.6830) Prec@1 29.688 (35.235) Prec@5 61.328 (65.461) Epoch: [11][3370/5809] Time 0.125 (0.344) Data 0.054 (0.266) Loss 2.5994 (2.6831) Prec@1 40.625 (35.233) Prec@5 65.625 (65.457) Epoch: [11][3380/5809] Time 0.328 (0.344) Data 0.269 (0.266) Loss 2.5849 (2.6831) Prec@1 34.375 (35.234) Prec@5 69.531 (65.461) Epoch: [11][3390/5809] Time 0.215 (0.344) Data 0.157 (0.266) Loss 2.8220 (2.6830) Prec@1 33.984 (35.235) Prec@5 63.672 (65.462) Epoch: [11][3400/5809] Time 0.159 (0.344) Data 0.100 (0.266) Loss 2.8496 (2.6832) Prec@1 33.984 (35.228) Prec@5 62.500 (65.458) Epoch: [11][3410/5809] Time 0.284 (0.344) Data 0.220 (0.266) Loss 2.7470 (2.6831) Prec@1 31.641 (35.228) Prec@5 63.281 (65.460) Epoch: [11][3420/5809] Time 0.190 (0.344) Data 0.131 (0.266) Loss 2.5675 (2.6831) Prec@1 34.766 (35.231) Prec@5 66.016 (65.463) Epoch: [11][3430/5809] Time 0.396 (0.344) Data 0.335 (0.266) Loss 2.3849 (2.6830) Prec@1 40.234 (35.232) Prec@5 71.484 (65.461) Epoch: [11][3440/5809] Time 0.408 (0.344) Data 0.348 (0.266) Loss 2.4971 (2.6831) Prec@1 32.422 (35.229) Prec@5 67.578 (65.456) Epoch: [11][3450/5809] Time 0.132 (0.344) Data 0.015 (0.266) Loss 2.8696 (2.6830) Prec@1 32.031 (35.230) Prec@5 62.109 (65.460) Epoch: [11][3460/5809] Time 0.169 (0.344) Data 0.111 (0.266) Loss 2.6691 (2.6829) Prec@1 33.594 (35.232) Prec@5 65.625 (65.463) Epoch: [11][3470/5809] Time 0.175 (0.344) Data 0.114 (0.266) Loss 2.6333 (2.6830) Prec@1 37.109 (35.233) Prec@5 65.234 (65.460) Epoch: [11][3480/5809] Time 0.453 (0.344) Data 0.393 (0.266) Loss 2.5152 (2.6828) Prec@1 35.938 (35.236) Prec@5 70.312 (65.462) Epoch: [11][3490/5809] Time 0.129 (0.344) Data 0.044 (0.266) Loss 2.4254 (2.6829) Prec@1 41.797 (35.237) Prec@5 68.359 (65.460) Epoch: [11][3500/5809] Time 0.423 (0.344) Data 0.364 (0.266) Loss 2.7604 (2.6829) Prec@1 35.547 (35.236) Prec@5 65.625 (65.459) Epoch: [11][3510/5809] Time 0.220 (0.344) Data 0.150 (0.266) Loss 2.4950 (2.6829) Prec@1 38.672 (35.237) Prec@5 69.922 (65.458) Epoch: [11][3520/5809] Time 0.195 (0.344) Data 0.135 (0.266) Loss 2.7397 (2.6828) Prec@1 35.547 (35.242) Prec@5 66.406 (65.460) Epoch: [11][3530/5809] Time 0.135 (0.344) Data 0.001 (0.266) Loss 2.4762 (2.6826) Prec@1 37.500 (35.243) Prec@5 68.750 (65.465) Epoch: [11][3540/5809] Time 0.435 (0.344) Data 0.375 (0.266) Loss 2.7876 (2.6826) Prec@1 35.156 (35.242) Prec@5 62.891 (65.465) Epoch: [11][3550/5809] Time 0.157 (0.344) Data 0.097 (0.266) Loss 2.8641 (2.6829) Prec@1 31.641 (35.236) Prec@5 62.891 (65.461) Epoch: [11][3560/5809] Time 0.136 (0.344) Data 0.074 (0.266) Loss 2.6996 (2.6829) Prec@1 34.766 (35.237) Prec@5 67.578 (65.461) Epoch: [11][3570/5809] Time 0.348 (0.344) Data 0.288 (0.266) Loss 2.5995 (2.6830) Prec@1 37.109 (35.236) Prec@5 66.406 (65.464) Epoch: [11][3580/5809] Time 0.128 (0.344) Data 0.047 (0.266) Loss 2.9524 (2.6832) Prec@1 31.250 (35.233) Prec@5 64.453 (65.459) Epoch: [11][3590/5809] Time 0.430 (0.344) Data 0.370 (0.266) Loss 2.8636 (2.6833) Prec@1 30.078 (35.230) Prec@5 64.844 (65.454) Epoch: [11][3600/5809] Time 0.178 (0.344) Data 0.118 (0.266) Loss 2.7520 (2.6832) Prec@1 35.156 (35.231) Prec@5 63.281 (65.454) Epoch: [11][3610/5809] Time 0.583 (0.344) Data 0.524 (0.266) Loss 2.6214 (2.6831) Prec@1 34.766 (35.233) Prec@5 64.453 (65.455) Epoch: [11][3620/5809] Time 0.441 (0.344) Data 0.381 (0.266) Loss 2.6743 (2.6832) Prec@1 35.156 (35.230) Prec@5 67.188 (65.455) Epoch: [11][3630/5809] Time 0.274 (0.344) Data 0.215 (0.266) Loss 2.4951 (2.6832) Prec@1 38.672 (35.228) Prec@5 69.531 (65.455) Epoch: [11][3640/5809] Time 0.405 (0.344) Data 0.344 (0.266) Loss 2.6045 (2.6832) Prec@1 33.203 (35.226) Prec@5 67.578 (65.455) Epoch: [11][3650/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.6105 (2.6832) Prec@1 35.938 (35.222) Prec@5 67.969 (65.455) Epoch: [11][3660/5809] Time 0.284 (0.344) Data 0.225 (0.266) Loss 2.5236 (2.6833) Prec@1 34.375 (35.218) Prec@5 69.922 (65.456) Epoch: [11][3670/5809] Time 0.254 (0.344) Data 0.194 (0.266) Loss 2.5544 (2.6833) Prec@1 35.938 (35.213) Prec@5 65.234 (65.455) Epoch: [11][3680/5809] Time 0.195 (0.344) Data 0.136 (0.266) Loss 2.6692 (2.6833) Prec@1 37.500 (35.214) Prec@5 68.750 (65.456) Epoch: [11][3690/5809] Time 0.520 (0.344) Data 0.461 (0.267) Loss 2.7600 (2.6833) Prec@1 32.031 (35.215) Prec@5 63.281 (65.456) Epoch: [11][3700/5809] Time 0.330 (0.344) Data 0.270 (0.267) Loss 2.6991 (2.6834) Prec@1 34.766 (35.215) Prec@5 66.406 (65.454) Epoch: [11][3710/5809] Time 0.685 (0.344) Data 0.618 (0.267) Loss 2.5426 (2.6833) Prec@1 38.281 (35.220) Prec@5 67.188 (65.459) Epoch: [11][3720/5809] Time 0.422 (0.344) Data 0.363 (0.267) Loss 2.7925 (2.6834) Prec@1 33.594 (35.219) Prec@5 64.844 (65.459) Epoch: [11][3730/5809] Time 0.773 (0.344) Data 0.713 (0.267) Loss 2.7534 (2.6834) Prec@1 30.469 (35.214) Prec@5 66.406 (65.457) Epoch: [11][3740/5809] Time 0.453 (0.344) Data 0.393 (0.267) Loss 2.5194 (2.6835) Prec@1 40.234 (35.213) Prec@5 68.750 (65.456) Epoch: [11][3750/5809] Time 0.847 (0.344) Data 0.788 (0.267) Loss 2.9057 (2.6835) Prec@1 33.594 (35.210) Prec@5 60.547 (65.457) Epoch: [11][3760/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.8451 (2.6836) Prec@1 26.953 (35.204) Prec@5 59.766 (65.451) Epoch: [11][3770/5809] Time 0.577 (0.344) Data 0.519 (0.267) Loss 2.5979 (2.6837) Prec@1 35.938 (35.199) Prec@5 67.969 (65.450) Epoch: [11][3780/5809] Time 0.133 (0.344) Data 0.050 (0.267) Loss 2.8676 (2.6839) Prec@1 33.984 (35.197) Prec@5 63.281 (65.448) Epoch: [11][3790/5809] Time 0.637 (0.344) Data 0.576 (0.267) Loss 2.8269 (2.6840) Prec@1 29.297 (35.192) Prec@5 60.156 (65.445) Epoch: [11][3800/5809] Time 0.170 (0.344) Data 0.110 (0.267) Loss 2.8904 (2.6839) Prec@1 30.078 (35.196) Prec@5 60.547 (65.446) Epoch: [11][3810/5809] Time 0.345 (0.344) Data 0.285 (0.267) Loss 2.7554 (2.6841) Prec@1 29.688 (35.191) Prec@5 63.672 (65.440) Epoch: [11][3820/5809] Time 0.150 (0.344) Data 0.089 (0.267) Loss 2.7192 (2.6839) Prec@1 35.156 (35.194) Prec@5 62.109 (65.441) Epoch: [11][3830/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.6350 (2.6839) Prec@1 37.500 (35.193) Prec@5 66.797 (65.443) Epoch: [11][3840/5809] Time 0.465 (0.344) Data 0.405 (0.267) Loss 2.7220 (2.6837) Prec@1 33.984 (35.194) Prec@5 69.531 (65.447) Epoch: [11][3850/5809] Time 0.411 (0.344) Data 0.351 (0.267) Loss 2.7542 (2.6835) Prec@1 36.328 (35.199) Prec@5 65.234 (65.451) Epoch: [11][3860/5809] Time 0.653 (0.344) Data 0.594 (0.267) Loss 2.6858 (2.6835) Prec@1 33.594 (35.197) Prec@5 64.453 (65.449) Epoch: [11][3870/5809] Time 0.166 (0.344) Data 0.106 (0.267) Loss 2.6188 (2.6835) Prec@1 35.547 (35.197) Prec@5 64.844 (65.451) Epoch: [11][3880/5809] Time 0.604 (0.344) Data 0.545 (0.267) Loss 2.6596 (2.6834) Prec@1 37.109 (35.199) Prec@5 64.453 (65.452) Epoch: [11][3890/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.7209 (2.6833) Prec@1 32.812 (35.199) Prec@5 62.109 (65.455) Epoch: [11][3900/5809] Time 0.544 (0.344) Data 0.478 (0.267) Loss 2.7208 (2.6832) Prec@1 32.812 (35.201) Prec@5 62.891 (65.456) Epoch: [11][3910/5809] Time 0.290 (0.344) Data 0.230 (0.267) Loss 2.5049 (2.6830) Prec@1 37.500 (35.200) Prec@5 71.094 (65.460) Epoch: [11][3920/5809] Time 0.134 (0.344) Data 0.064 (0.267) Loss 2.8979 (2.6831) Prec@1 35.547 (35.197) Prec@5 59.766 (65.462) Epoch: [11][3930/5809] Time 0.481 (0.344) Data 0.422 (0.267) Loss 2.7445 (2.6832) Prec@1 34.375 (35.196) Prec@5 65.234 (65.459) Epoch: [11][3940/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.8339 (2.6832) Prec@1 32.031 (35.193) Prec@5 64.062 (65.459) Epoch: [11][3950/5809] Time 0.490 (0.344) Data 0.431 (0.267) Loss 2.6276 (2.6835) Prec@1 39.844 (35.192) Prec@5 67.578 (65.454) Epoch: [11][3960/5809] Time 0.176 (0.344) Data 0.115 (0.267) Loss 2.6305 (2.6834) Prec@1 36.719 (35.191) Prec@5 64.062 (65.452) Epoch: [11][3970/5809] Time 0.619 (0.344) Data 0.559 (0.267) Loss 2.8398 (2.6836) Prec@1 34.375 (35.190) Prec@5 63.281 (65.449) Epoch: [11][3980/5809] Time 0.138 (0.344) Data 0.077 (0.267) Loss 2.5552 (2.6836) Prec@1 37.500 (35.188) Prec@5 67.969 (65.450) Epoch: [11][3990/5809] Time 0.706 (0.344) Data 0.646 (0.267) Loss 2.6260 (2.6836) Prec@1 37.891 (35.188) Prec@5 62.500 (65.449) Epoch: [11][4000/5809] Time 0.297 (0.344) Data 0.231 (0.267) Loss 2.7186 (2.6838) Prec@1 39.453 (35.188) Prec@5 66.016 (65.446) Epoch: [11][4010/5809] Time 0.521 (0.344) Data 0.462 (0.267) Loss 2.6290 (2.6838) Prec@1 35.938 (35.188) Prec@5 66.797 (65.443) Epoch: [11][4020/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.7272 (2.6838) Prec@1 33.984 (35.190) Prec@5 66.797 (65.444) Epoch: [11][4030/5809] Time 0.409 (0.344) Data 0.349 (0.267) Loss 2.7401 (2.6838) Prec@1 33.984 (35.191) Prec@5 67.578 (65.444) Epoch: [11][4040/5809] Time 0.316 (0.344) Data 0.256 (0.267) Loss 2.7267 (2.6839) Prec@1 32.031 (35.189) Prec@5 62.500 (65.444) Epoch: [11][4050/5809] Time 0.199 (0.344) Data 0.138 (0.267) Loss 2.5844 (2.6839) Prec@1 37.109 (35.188) Prec@5 63.281 (65.442) Epoch: [11][4060/5809] Time 0.566 (0.344) Data 0.505 (0.267) Loss 2.5014 (2.6838) Prec@1 39.844 (35.189) Prec@5 70.312 (65.446) Epoch: [11][4070/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.5654 (2.6837) Prec@1 40.234 (35.191) Prec@5 66.797 (65.449) Epoch: [11][4080/5809] Time 0.502 (0.344) Data 0.441 (0.267) Loss 2.6454 (2.6837) Prec@1 35.938 (35.192) Prec@5 67.188 (65.450) Epoch: [11][4090/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.7742 (2.6837) Prec@1 33.984 (35.188) Prec@5 63.281 (65.451) Epoch: [11][4100/5809] Time 0.854 (0.344) Data 0.795 (0.267) Loss 2.8941 (2.6838) Prec@1 33.984 (35.189) Prec@5 60.938 (65.448) Epoch: [11][4110/5809] Time 0.140 (0.344) Data 0.001 (0.267) Loss 2.6449 (2.6839) Prec@1 33.594 (35.187) Prec@5 65.625 (65.447) Epoch: [11][4120/5809] Time 0.998 (0.344) Data 0.939 (0.267) Loss 2.6267 (2.6839) Prec@1 38.672 (35.186) Prec@5 65.625 (65.448) Epoch: [11][4130/5809] Time 0.141 (0.344) Data 0.001 (0.267) Loss 2.6808 (2.6840) Prec@1 37.500 (35.184) Prec@5 67.188 (65.447) Epoch: [11][4140/5809] Time 0.851 (0.344) Data 0.790 (0.267) Loss 2.7885 (2.6838) Prec@1 30.859 (35.185) Prec@5 63.281 (65.451) Epoch: [11][4150/5809] Time 0.290 (0.344) Data 0.223 (0.267) Loss 2.5844 (2.6836) Prec@1 37.109 (35.186) Prec@5 64.844 (65.454) Epoch: [11][4160/5809] Time 0.734 (0.344) Data 0.674 (0.267) Loss 2.7659 (2.6836) Prec@1 33.203 (35.186) Prec@5 65.234 (65.453) Epoch: [11][4170/5809] Time 0.138 (0.344) Data 0.001 (0.267) Loss 2.7558 (2.6836) Prec@1 33.984 (35.185) Prec@5 67.188 (65.454) Epoch: [11][4180/5809] Time 0.577 (0.344) Data 0.517 (0.267) Loss 2.5970 (2.6837) Prec@1 39.453 (35.185) Prec@5 67.188 (65.455) Epoch: [11][4190/5809] Time 0.142 (0.344) Data 0.001 (0.267) Loss 2.6103 (2.6836) Prec@1 35.938 (35.181) Prec@5 66.406 (65.457) Epoch: [11][4200/5809] Time 0.811 (0.344) Data 0.751 (0.267) Loss 2.8334 (2.6837) Prec@1 30.859 (35.181) Prec@5 62.891 (65.457) Epoch: [11][4210/5809] Time 0.186 (0.344) Data 0.126 (0.267) Loss 2.6256 (2.6837) Prec@1 36.719 (35.181) Prec@5 67.188 (65.460) Epoch: [11][4220/5809] Time 0.687 (0.344) Data 0.627 (0.267) Loss 2.7557 (2.6836) Prec@1 35.938 (35.184) Prec@5 60.938 (65.462) Epoch: [11][4230/5809] Time 0.393 (0.344) Data 0.325 (0.267) Loss 2.6972 (2.6835) Prec@1 37.500 (35.184) Prec@5 64.062 (65.463) Epoch: [11][4240/5809] Time 0.525 (0.344) Data 0.465 (0.267) Loss 2.5431 (2.6836) Prec@1 39.844 (35.183) Prec@5 69.141 (65.464) Epoch: [11][4250/5809] Time 0.316 (0.344) Data 0.251 (0.267) Loss 2.4089 (2.6836) Prec@1 39.453 (35.182) Prec@5 69.922 (65.465) Epoch: [11][4260/5809] Time 0.313 (0.344) Data 0.253 (0.267) Loss 2.4540 (2.6834) Prec@1 38.672 (35.187) Prec@5 71.094 (65.468) Epoch: [11][4270/5809] Time 0.552 (0.344) Data 0.492 (0.267) Loss 2.6886 (2.6835) Prec@1 38.672 (35.186) Prec@5 68.359 (65.466) Epoch: [11][4280/5809] Time 0.320 (0.344) Data 0.261 (0.267) Loss 2.7219 (2.6835) Prec@1 31.641 (35.187) Prec@5 66.406 (65.468) Epoch: [11][4290/5809] Time 0.515 (0.344) Data 0.456 (0.267) Loss 2.9054 (2.6837) Prec@1 31.250 (35.184) Prec@5 59.766 (65.463) Epoch: [11][4300/5809] Time 0.511 (0.344) Data 0.452 (0.267) Loss 2.7188 (2.6839) Prec@1 32.812 (35.182) Prec@5 60.938 (65.457) Epoch: [11][4310/5809] Time 0.439 (0.344) Data 0.378 (0.267) Loss 2.7148 (2.6840) Prec@1 36.328 (35.178) Prec@5 63.672 (65.455) Epoch: [11][4320/5809] Time 0.424 (0.344) Data 0.365 (0.267) Loss 2.8338 (2.6839) Prec@1 33.984 (35.183) Prec@5 64.453 (65.455) Epoch: [11][4330/5809] Time 0.684 (0.344) Data 0.623 (0.267) Loss 2.8142 (2.6841) Prec@1 33.984 (35.181) Prec@5 61.328 (65.452) Epoch: [11][4340/5809] Time 0.347 (0.344) Data 0.287 (0.267) Loss 2.6910 (2.6841) Prec@1 35.156 (35.183) Prec@5 63.281 (65.451) Epoch: [11][4350/5809] Time 0.497 (0.344) Data 0.437 (0.267) Loss 2.7131 (2.6840) Prec@1 31.250 (35.185) Prec@5 69.922 (65.453) Epoch: [11][4360/5809] Time 0.387 (0.344) Data 0.329 (0.267) Loss 2.7503 (2.6841) Prec@1 33.203 (35.182) Prec@5 64.844 (65.454) Epoch: [11][4370/5809] Time 0.529 (0.344) Data 0.469 (0.267) Loss 2.8814 (2.6841) Prec@1 30.078 (35.184) Prec@5 62.109 (65.452) Epoch: [11][4380/5809] Time 0.238 (0.344) Data 0.178 (0.267) Loss 2.5659 (2.6841) Prec@1 34.766 (35.184) Prec@5 67.188 (65.453) Epoch: [11][4390/5809] Time 0.774 (0.344) Data 0.712 (0.267) Loss 2.5501 (2.6840) Prec@1 36.328 (35.185) Prec@5 66.406 (65.456) Epoch: [11][4400/5809] Time 0.148 (0.344) Data 0.088 (0.267) Loss 2.6246 (2.6841) Prec@1 37.500 (35.184) Prec@5 69.922 (65.454) Epoch: [11][4410/5809] Time 0.879 (0.344) Data 0.819 (0.267) Loss 2.8820 (2.6843) Prec@1 32.812 (35.180) Prec@5 60.156 (65.450) Epoch: [11][4420/5809] Time 0.133 (0.344) Data 0.066 (0.267) Loss 2.7300 (2.6845) Prec@1 32.422 (35.175) Prec@5 67.188 (65.450) Epoch: [11][4430/5809] Time 0.841 (0.344) Data 0.782 (0.267) Loss 2.8794 (2.6845) Prec@1 34.375 (35.174) Prec@5 61.328 (65.450) Epoch: [11][4440/5809] Time 0.138 (0.344) Data 0.049 (0.267) Loss 2.6104 (2.6844) Prec@1 34.766 (35.175) Prec@5 67.969 (65.451) Epoch: [11][4450/5809] Time 0.713 (0.344) Data 0.647 (0.267) Loss 2.7786 (2.6844) Prec@1 33.594 (35.175) Prec@5 62.500 (65.450) Epoch: [11][4460/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.5681 (2.6843) Prec@1 35.547 (35.176) Prec@5 67.188 (65.451) Epoch: [11][4470/5809] Time 0.718 (0.344) Data 0.660 (0.267) Loss 2.8556 (2.6841) Prec@1 30.859 (35.179) Prec@5 61.719 (65.453) Epoch: [11][4480/5809] Time 0.134 (0.344) Data 0.060 (0.267) Loss 2.9180 (2.6843) Prec@1 28.516 (35.177) Prec@5 57.812 (65.450) Epoch: [11][4490/5809] Time 0.948 (0.344) Data 0.886 (0.267) Loss 2.5633 (2.6843) Prec@1 38.672 (35.177) Prec@5 68.359 (65.451) Epoch: [11][4500/5809] Time 0.142 (0.344) Data 0.001 (0.267) Loss 2.8411 (2.6843) Prec@1 30.469 (35.174) Prec@5 63.672 (65.451) Epoch: [11][4510/5809] Time 0.876 (0.344) Data 0.816 (0.267) Loss 2.5909 (2.6844) Prec@1 34.375 (35.172) Prec@5 65.625 (65.449) Epoch: [11][4520/5809] Time 0.127 (0.344) Data 0.057 (0.267) Loss 2.4603 (2.6843) Prec@1 39.453 (35.173) Prec@5 70.312 (65.451) Epoch: [11][4530/5809] Time 0.719 (0.344) Data 0.659 (0.267) Loss 2.4103 (2.6842) Prec@1 35.156 (35.173) Prec@5 73.438 (65.451) Epoch: [11][4540/5809] Time 0.131 (0.344) Data 0.052 (0.267) Loss 2.7361 (2.6842) Prec@1 32.812 (35.174) Prec@5 64.844 (65.449) Epoch: [11][4550/5809] Time 0.860 (0.344) Data 0.799 (0.267) Loss 2.7769 (2.6844) Prec@1 36.328 (35.171) Prec@5 66.797 (65.445) Epoch: [11][4560/5809] Time 0.134 (0.344) Data 0.064 (0.267) Loss 2.6924 (2.6845) Prec@1 34.766 (35.172) Prec@5 64.844 (65.443) Epoch: [11][4570/5809] Time 0.501 (0.344) Data 0.441 (0.267) Loss 2.5879 (2.6846) Prec@1 36.719 (35.168) Prec@5 65.234 (65.439) Epoch: [11][4580/5809] Time 0.431 (0.344) Data 0.371 (0.267) Loss 2.6698 (2.6845) Prec@1 34.766 (35.170) Prec@5 63.281 (65.440) Epoch: [11][4590/5809] Time 0.418 (0.344) Data 0.358 (0.267) Loss 2.6690 (2.6845) Prec@1 37.500 (35.170) Prec@5 63.672 (65.441) Epoch: [11][4600/5809] Time 0.444 (0.344) Data 0.384 (0.267) Loss 2.6309 (2.6845) Prec@1 35.156 (35.170) Prec@5 68.359 (65.440) Epoch: [11][4610/5809] Time 0.436 (0.344) Data 0.370 (0.267) Loss 2.7396 (2.6845) Prec@1 36.719 (35.169) Prec@5 64.844 (65.440) Epoch: [11][4620/5809] Time 0.373 (0.344) Data 0.314 (0.267) Loss 2.7533 (2.6847) Prec@1 32.031 (35.169) Prec@5 64.453 (65.437) Epoch: [11][4630/5809] Time 0.327 (0.344) Data 0.268 (0.267) Loss 2.7321 (2.6847) Prec@1 32.812 (35.168) Prec@5 63.672 (65.436) Epoch: [11][4640/5809] Time 0.149 (0.344) Data 0.089 (0.267) Loss 2.8018 (2.6847) Prec@1 35.938 (35.169) Prec@5 64.453 (65.436) Epoch: [11][4650/5809] Time 0.124 (0.344) Data 0.049 (0.267) Loss 2.8363 (2.6848) Prec@1 35.156 (35.171) Prec@5 64.062 (65.437) Epoch: [11][4660/5809] Time 0.156 (0.344) Data 0.097 (0.267) Loss 2.8817 (2.6848) Prec@1 32.812 (35.169) Prec@5 58.984 (65.436) Epoch: [11][4670/5809] Time 0.352 (0.344) Data 0.291 (0.267) Loss 2.6736 (2.6849) Prec@1 34.766 (35.165) Prec@5 65.234 (65.434) Epoch: [11][4680/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.7410 (2.6848) Prec@1 34.766 (35.165) Prec@5 65.234 (65.437) Epoch: [11][4690/5809] Time 0.569 (0.344) Data 0.509 (0.267) Loss 2.6631 (2.6848) Prec@1 37.109 (35.165) Prec@5 66.016 (65.436) Epoch: [11][4700/5809] Time 0.181 (0.344) Data 0.122 (0.267) Loss 2.9619 (2.6848) Prec@1 30.469 (35.164) Prec@5 58.594 (65.437) Epoch: [11][4710/5809] Time 0.602 (0.344) Data 0.542 (0.267) Loss 2.6992 (2.6849) Prec@1 33.594 (35.162) Prec@5 65.625 (65.433) Epoch: [11][4720/5809] Time 0.261 (0.344) Data 0.201 (0.267) Loss 2.5606 (2.6849) Prec@1 33.594 (35.162) Prec@5 67.188 (65.433) Epoch: [11][4730/5809] Time 0.347 (0.344) Data 0.281 (0.267) Loss 2.6737 (2.6849) Prec@1 35.938 (35.161) Prec@5 64.062 (65.433) Epoch: [11][4740/5809] Time 0.511 (0.344) Data 0.450 (0.267) Loss 2.4779 (2.6848) Prec@1 38.281 (35.164) Prec@5 69.922 (65.434) Epoch: [11][4750/5809] Time 0.131 (0.344) Data 0.050 (0.267) Loss 2.7453 (2.6849) Prec@1 33.984 (35.161) Prec@5 62.891 (65.432) Epoch: [11][4760/5809] Time 0.246 (0.344) Data 0.187 (0.267) Loss 2.5399 (2.6848) Prec@1 39.453 (35.163) Prec@5 67.969 (65.434) Epoch: [11][4770/5809] Time 0.165 (0.344) Data 0.106 (0.267) Loss 2.7080 (2.6847) Prec@1 37.109 (35.167) Prec@5 67.969 (65.436) Epoch: [11][4780/5809] Time 0.252 (0.344) Data 0.192 (0.267) Loss 2.7353 (2.6847) Prec@1 30.078 (35.165) Prec@5 63.672 (65.436) Epoch: [11][4790/5809] Time 0.332 (0.344) Data 0.272 (0.267) Loss 2.7955 (2.6848) Prec@1 35.938 (35.166) Prec@5 60.547 (65.434) Epoch: [11][4800/5809] Time 0.133 (0.344) Data 0.005 (0.267) Loss 2.6954 (2.6849) Prec@1 35.938 (35.164) Prec@5 66.406 (65.429) Epoch: [11][4810/5809] Time 0.515 (0.344) Data 0.456 (0.267) Loss 2.8750 (2.6850) Prec@1 33.594 (35.159) Prec@5 62.109 (65.426) Epoch: [11][4820/5809] Time 0.136 (0.344) Data 0.001 (0.267) Loss 2.8973 (2.6852) Prec@1 33.984 (35.157) Prec@5 60.156 (65.422) Epoch: [11][4830/5809] Time 0.733 (0.344) Data 0.666 (0.267) Loss 2.7183 (2.6854) Prec@1 29.297 (35.154) Prec@5 64.062 (65.418) Epoch: [11][4840/5809] Time 0.125 (0.344) Data 0.042 (0.267) Loss 2.6756 (2.6852) Prec@1 35.156 (35.156) Prec@5 67.578 (65.421) Epoch: [11][4850/5809] Time 0.727 (0.344) Data 0.666 (0.267) Loss 2.6499 (2.6851) Prec@1 35.938 (35.159) Prec@5 65.234 (65.424) Epoch: [11][4860/5809] Time 0.132 (0.344) Data 0.055 (0.267) Loss 2.6329 (2.6850) Prec@1 33.984 (35.160) Prec@5 65.234 (65.425) Epoch: [11][4870/5809] Time 0.679 (0.344) Data 0.618 (0.267) Loss 2.6102 (2.6851) Prec@1 35.938 (35.159) Prec@5 64.453 (65.425) Epoch: [11][4880/5809] Time 0.141 (0.344) Data 0.001 (0.267) Loss 2.7351 (2.6852) Prec@1 32.812 (35.156) Prec@5 64.453 (65.422) Epoch: [11][4890/5809] Time 0.607 (0.344) Data 0.547 (0.267) Loss 2.7913 (2.6852) Prec@1 32.812 (35.155) Prec@5 64.062 (65.424) Epoch: [11][4900/5809] Time 0.133 (0.344) Data 0.058 (0.267) Loss 2.6450 (2.6853) Prec@1 37.109 (35.154) Prec@5 65.234 (65.421) Epoch: [11][4910/5809] Time 0.498 (0.344) Data 0.438 (0.267) Loss 2.5134 (2.6852) Prec@1 37.500 (35.156) Prec@5 69.531 (65.425) Epoch: [11][4920/5809] Time 0.129 (0.344) Data 0.043 (0.267) Loss 2.9416 (2.6851) Prec@1 30.078 (35.158) Prec@5 57.812 (65.427) Epoch: [11][4930/5809] Time 0.556 (0.344) Data 0.496 (0.267) Loss 2.4870 (2.6852) Prec@1 36.328 (35.155) Prec@5 68.359 (65.426) Epoch: [11][4940/5809] Time 0.292 (0.344) Data 0.232 (0.267) Loss 2.6535 (2.6852) Prec@1 34.766 (35.156) Prec@5 65.625 (65.425) Epoch: [11][4950/5809] Time 0.544 (0.344) Data 0.484 (0.267) Loss 2.5876 (2.6853) Prec@1 36.328 (35.153) Prec@5 66.406 (65.423) Epoch: [11][4960/5809] Time 0.474 (0.344) Data 0.413 (0.267) Loss 2.6335 (2.6853) Prec@1 35.156 (35.152) Prec@5 66.406 (65.421) Epoch: [11][4970/5809] Time 0.492 (0.344) Data 0.432 (0.267) Loss 2.6466 (2.6852) Prec@1 39.844 (35.155) Prec@5 66.016 (65.426) Epoch: [11][4980/5809] Time 0.337 (0.344) Data 0.277 (0.267) Loss 2.5665 (2.6852) Prec@1 35.938 (35.154) Prec@5 68.750 (65.428) Epoch: [11][4990/5809] Time 0.385 (0.344) Data 0.326 (0.267) Loss 2.6331 (2.6851) Prec@1 38.281 (35.157) Prec@5 62.891 (65.430) Epoch: [11][5000/5809] Time 0.139 (0.344) Data 0.001 (0.267) Loss 2.6964 (2.6851) Prec@1 33.984 (35.156) Prec@5 64.844 (65.430) Epoch: [11][5010/5809] Time 0.518 (0.344) Data 0.458 (0.267) Loss 2.6167 (2.6851) Prec@1 37.891 (35.159) Prec@5 65.234 (65.428) Epoch: [11][5020/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.5443 (2.6850) Prec@1 33.984 (35.159) Prec@5 69.141 (65.429) Epoch: [11][5030/5809] Time 0.659 (0.344) Data 0.600 (0.267) Loss 2.6452 (2.6850) Prec@1 35.938 (35.157) Prec@5 66.797 (65.428) Epoch: [11][5040/5809] Time 0.136 (0.344) Data 0.046 (0.267) Loss 2.8115 (2.6851) Prec@1 31.641 (35.155) Prec@5 64.062 (65.427) Epoch: [11][5050/5809] Time 0.431 (0.344) Data 0.373 (0.267) Loss 2.6198 (2.6851) Prec@1 38.672 (35.156) Prec@5 67.578 (65.428) Epoch: [11][5060/5809] Time 0.140 (0.344) Data 0.001 (0.267) Loss 2.6683 (2.6849) Prec@1 39.062 (35.159) Prec@5 64.844 (65.431) Epoch: [11][5070/5809] Time 0.346 (0.344) Data 0.286 (0.267) Loss 2.5397 (2.6849) Prec@1 39.453 (35.161) Prec@5 67.188 (65.432) Epoch: [11][5080/5809] Time 0.307 (0.344) Data 0.247 (0.267) Loss 2.8696 (2.6849) Prec@1 29.688 (35.159) Prec@5 61.328 (65.433) Epoch: [11][5090/5809] Time 0.210 (0.344) Data 0.151 (0.267) Loss 2.6090 (2.6849) Prec@1 36.719 (35.160) Prec@5 67.188 (65.433) Epoch: [11][5100/5809] Time 0.139 (0.344) Data 0.001 (0.267) Loss 2.4870 (2.6850) Prec@1 39.062 (35.158) Prec@5 67.578 (65.431) Epoch: [11][5110/5809] Time 0.491 (0.344) Data 0.432 (0.267) Loss 2.6359 (2.6850) Prec@1 35.156 (35.157) Prec@5 69.141 (65.433) Epoch: [11][5120/5809] Time 0.166 (0.344) Data 0.106 (0.267) Loss 2.5927 (2.6850) Prec@1 37.891 (35.160) Prec@5 68.359 (65.433) Epoch: [11][5130/5809] Time 0.227 (0.344) Data 0.168 (0.267) Loss 2.7677 (2.6850) Prec@1 33.203 (35.161) Prec@5 61.719 (65.432) Epoch: [11][5140/5809] Time 0.475 (0.344) Data 0.415 (0.267) Loss 2.6673 (2.6849) Prec@1 32.812 (35.160) Prec@5 67.969 (65.432) Epoch: [11][5150/5809] Time 0.275 (0.344) Data 0.216 (0.267) Loss 2.3727 (2.6849) Prec@1 38.672 (35.160) Prec@5 71.484 (65.432) Epoch: [11][5160/5809] Time 0.591 (0.344) Data 0.531 (0.267) Loss 2.6436 (2.6850) Prec@1 33.984 (35.158) Prec@5 68.359 (65.430) Epoch: [11][5170/5809] Time 0.216 (0.344) Data 0.156 (0.267) Loss 2.6338 (2.6850) Prec@1 38.672 (35.159) Prec@5 64.062 (65.429) Epoch: [11][5180/5809] Time 0.688 (0.344) Data 0.628 (0.267) Loss 2.7489 (2.6851) Prec@1 32.812 (35.158) Prec@5 65.625 (65.428) Epoch: [11][5190/5809] Time 0.135 (0.344) Data 0.053 (0.267) Loss 2.5905 (2.6851) Prec@1 33.594 (35.157) Prec@5 69.531 (65.429) Epoch: [11][5200/5809] Time 0.624 (0.344) Data 0.565 (0.267) Loss 2.7828 (2.6852) Prec@1 34.766 (35.151) Prec@5 61.328 (65.424) Epoch: [11][5210/5809] Time 0.132 (0.344) Data 0.040 (0.267) Loss 2.7583 (2.6855) Prec@1 31.250 (35.147) Prec@5 63.672 (65.418) Epoch: [11][5220/5809] Time 0.632 (0.344) Data 0.571 (0.267) Loss 2.8168 (2.6856) Prec@1 29.688 (35.143) Prec@5 60.938 (65.416) Epoch: [11][5230/5809] Time 0.134 (0.344) Data 0.068 (0.267) Loss 2.6506 (2.6854) Prec@1 33.984 (35.146) Prec@5 65.234 (65.419) Epoch: [11][5240/5809] Time 0.401 (0.344) Data 0.341 (0.267) Loss 2.9067 (2.6854) Prec@1 30.859 (35.146) Prec@5 62.891 (65.418) Epoch: [11][5250/5809] Time 0.345 (0.344) Data 0.285 (0.267) Loss 2.8257 (2.6855) Prec@1 30.078 (35.142) Prec@5 64.062 (65.419) Epoch: [11][5260/5809] Time 0.236 (0.344) Data 0.178 (0.267) Loss 2.5885 (2.6855) Prec@1 37.109 (35.142) Prec@5 65.234 (65.420) Epoch: [11][5270/5809] Time 0.214 (0.344) Data 0.153 (0.267) Loss 2.9467 (2.6856) Prec@1 26.953 (35.141) Prec@5 59.766 (65.416) Epoch: [11][5280/5809] Time 0.166 (0.344) Data 0.107 (0.267) Loss 2.4517 (2.6856) Prec@1 41.016 (35.142) Prec@5 70.703 (65.416) Epoch: [11][5290/5809] Time 0.194 (0.344) Data 0.135 (0.267) Loss 2.7355 (2.6856) Prec@1 32.812 (35.143) Prec@5 68.359 (65.416) Epoch: [11][5300/5809] Time 0.126 (0.344) Data 0.060 (0.267) Loss 2.7709 (2.6857) Prec@1 33.203 (35.141) Prec@5 62.891 (65.415) Epoch: [11][5310/5809] Time 0.453 (0.344) Data 0.393 (0.267) Loss 2.8253 (2.6858) Prec@1 32.812 (35.141) Prec@5 64.453 (65.416) Epoch: [11][5320/5809] Time 0.185 (0.344) Data 0.124 (0.267) Loss 2.8787 (2.6858) Prec@1 30.469 (35.141) Prec@5 64.062 (65.415) Epoch: [11][5330/5809] Time 0.291 (0.344) Data 0.232 (0.267) Loss 2.7895 (2.6857) Prec@1 36.328 (35.145) Prec@5 67.188 (65.419) Epoch: [11][5340/5809] Time 0.135 (0.344) Data 0.006 (0.267) Loss 2.4971 (2.6856) Prec@1 36.328 (35.146) Prec@5 66.797 (65.420) Epoch: [11][5350/5809] Time 0.389 (0.344) Data 0.330 (0.267) Loss 2.7171 (2.6855) Prec@1 33.984 (35.146) Prec@5 64.062 (65.421) Epoch: [11][5360/5809] Time 0.133 (0.344) Data 0.004 (0.267) Loss 2.5626 (2.6855) Prec@1 37.109 (35.147) Prec@5 67.188 (65.421) Epoch: [11][5370/5809] Time 0.237 (0.344) Data 0.179 (0.267) Loss 2.4674 (2.6854) Prec@1 38.672 (35.149) Prec@5 66.797 (65.421) Epoch: [11][5380/5809] Time 0.339 (0.344) Data 0.270 (0.268) Loss 2.9065 (2.6855) Prec@1 33.203 (35.147) Prec@5 58.594 (65.420) Epoch: [11][5390/5809] Time 0.133 (0.344) Data 0.043 (0.267) Loss 2.7048 (2.6855) Prec@1 36.328 (35.147) Prec@5 65.625 (65.421) Epoch: [11][5400/5809] Time 0.629 (0.344) Data 0.564 (0.268) Loss 2.5855 (2.6855) Prec@1 37.500 (35.145) Prec@5 68.750 (65.420) Epoch: [11][5410/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.9599 (2.6856) Prec@1 31.250 (35.145) Prec@5 61.719 (65.418) Epoch: [11][5420/5809] Time 0.593 (0.344) Data 0.534 (0.268) Loss 2.8949 (2.6856) Prec@1 32.812 (35.143) Prec@5 57.031 (65.414) Epoch: [11][5430/5809] Time 0.218 (0.344) Data 0.157 (0.267) Loss 2.5546 (2.6856) Prec@1 35.938 (35.143) Prec@5 67.578 (65.414) Epoch: [11][5440/5809] Time 0.571 (0.344) Data 0.502 (0.268) Loss 2.6967 (2.6855) Prec@1 32.422 (35.144) Prec@5 66.406 (65.415) Epoch: [11][5450/5809] Time 0.262 (0.344) Data 0.202 (0.268) Loss 2.6463 (2.6856) Prec@1 32.812 (35.142) Prec@5 67.188 (65.413) Epoch: [11][5460/5809] Time 0.456 (0.344) Data 0.397 (0.268) Loss 2.7361 (2.6855) Prec@1 37.109 (35.145) Prec@5 67.578 (65.414) Epoch: [11][5470/5809] Time 0.514 (0.344) Data 0.455 (0.268) Loss 2.5441 (2.6855) Prec@1 35.547 (35.145) Prec@5 70.703 (65.413) Epoch: [11][5480/5809] Time 0.807 (0.344) Data 0.747 (0.268) Loss 2.5378 (2.6855) Prec@1 37.891 (35.147) Prec@5 67.578 (65.414) Epoch: [11][5490/5809] Time 0.178 (0.344) Data 0.112 (0.268) Loss 2.8506 (2.6855) Prec@1 38.281 (35.148) Prec@5 64.062 (65.415) Epoch: [11][5500/5809] Time 0.611 (0.344) Data 0.552 (0.268) Loss 2.9077 (2.6855) Prec@1 30.859 (35.146) Prec@5 61.719 (65.415) Epoch: [11][5510/5809] Time 0.430 (0.344) Data 0.371 (0.268) Loss 2.6236 (2.6855) Prec@1 35.156 (35.149) Prec@5 67.188 (65.418) Epoch: [11][5520/5809] Time 0.738 (0.344) Data 0.678 (0.268) Loss 2.6851 (2.6855) Prec@1 37.109 (35.148) Prec@5 66.016 (65.418) Epoch: [11][5530/5809] Time 0.133 (0.344) Data 0.040 (0.268) Loss 2.4768 (2.6855) Prec@1 39.062 (35.148) Prec@5 69.141 (65.417) Epoch: [11][5540/5809] Time 0.759 (0.344) Data 0.699 (0.268) Loss 2.6608 (2.6856) Prec@1 39.453 (35.149) Prec@5 63.672 (65.416) Epoch: [11][5550/5809] Time 0.229 (0.344) Data 0.169 (0.268) Loss 2.5971 (2.6855) Prec@1 35.547 (35.151) Prec@5 67.578 (65.416) Epoch: [11][5560/5809] Time 0.645 (0.344) Data 0.586 (0.268) Loss 2.7857 (2.6856) Prec@1 35.547 (35.151) Prec@5 62.109 (65.413) Epoch: [11][5570/5809] Time 0.140 (0.344) Data 0.001 (0.268) Loss 2.9011 (2.6855) Prec@1 28.906 (35.152) Prec@5 62.109 (65.414) Epoch: [11][5580/5809] Time 0.735 (0.344) Data 0.675 (0.268) Loss 2.7177 (2.6855) Prec@1 33.594 (35.153) Prec@5 64.062 (65.412) Epoch: [11][5590/5809] Time 0.140 (0.344) Data 0.001 (0.268) Loss 2.8695 (2.6856) Prec@1 29.688 (35.150) Prec@5 61.328 (65.409) Epoch: [11][5600/5809] Time 0.824 (0.344) Data 0.757 (0.268) Loss 2.6541 (2.6856) Prec@1 33.594 (35.151) Prec@5 64.844 (65.410) Epoch: [11][5610/5809] Time 0.133 (0.344) Data 0.042 (0.268) Loss 2.7450 (2.6856) Prec@1 32.422 (35.151) Prec@5 63.672 (65.410) Epoch: [11][5620/5809] Time 0.844 (0.344) Data 0.777 (0.268) Loss 2.6557 (2.6856) Prec@1 32.812 (35.148) Prec@5 66.797 (65.411) Epoch: [11][5630/5809] Time 0.138 (0.344) Data 0.001 (0.268) Loss 2.6715 (2.6855) Prec@1 35.547 (35.150) Prec@5 66.797 (65.414) Epoch: [11][5640/5809] Time 0.959 (0.344) Data 0.894 (0.268) Loss 2.8114 (2.6855) Prec@1 30.859 (35.149) Prec@5 61.719 (65.413) Epoch: [11][5650/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.7820 (2.6854) Prec@1 32.812 (35.149) Prec@5 65.625 (65.413) Epoch: [11][5660/5809] Time 1.000 (0.344) Data 0.936 (0.268) Loss 2.3771 (2.6853) Prec@1 39.453 (35.152) Prec@5 72.656 (65.415) Epoch: [11][5670/5809] Time 0.130 (0.344) Data 0.001 (0.267) Loss 2.7496 (2.6853) Prec@1 30.469 (35.153) Prec@5 61.719 (65.415) Epoch: [11][5680/5809] Time 0.953 (0.344) Data 0.886 (0.267) Loss 2.8511 (2.6852) Prec@1 27.344 (35.151) Prec@5 64.062 (65.415) Epoch: [11][5690/5809] Time 0.141 (0.344) Data 0.001 (0.267) Loss 2.5004 (2.6852) Prec@1 37.500 (35.151) Prec@5 71.094 (65.416) Epoch: [11][5700/5809] Time 1.056 (0.344) Data 0.995 (0.267) Loss 2.5306 (2.6852) Prec@1 36.719 (35.151) Prec@5 66.406 (65.417) Epoch: [11][5710/5809] Time 0.353 (0.344) Data 0.295 (0.267) Loss 2.7908 (2.6854) Prec@1 32.812 (35.147) Prec@5 64.453 (65.413) Epoch: [11][5720/5809] Time 0.823 (0.344) Data 0.755 (0.267) Loss 2.7434 (2.6852) Prec@1 36.719 (35.149) Prec@5 66.797 (65.414) Epoch: [11][5730/5809] Time 0.279 (0.344) Data 0.219 (0.267) Loss 2.7117 (2.6851) Prec@1 31.250 (35.151) Prec@5 64.453 (65.416) Epoch: [11][5740/5809] Time 0.697 (0.344) Data 0.638 (0.267) Loss 2.6278 (2.6852) Prec@1 33.984 (35.148) Prec@5 64.453 (65.414) Epoch: [11][5750/5809] Time 0.137 (0.344) Data 0.042 (0.267) Loss 2.5796 (2.6853) Prec@1 33.984 (35.149) Prec@5 70.703 (65.416) Epoch: [11][5760/5809] Time 0.734 (0.344) Data 0.674 (0.267) Loss 2.3921 (2.6852) Prec@1 42.969 (35.151) Prec@5 70.703 (65.415) Epoch: [11][5770/5809] Time 0.139 (0.344) Data 0.001 (0.267) Loss 2.9241 (2.6852) Prec@1 30.078 (35.151) Prec@5 60.156 (65.415) Epoch: [11][5780/5809] Time 0.767 (0.344) Data 0.708 (0.267) Loss 2.7327 (2.6852) Prec@1 36.328 (35.151) Prec@5 61.719 (65.415) Epoch: [11][5790/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.5924 (2.6853) Prec@1 39.844 (35.151) Prec@5 64.844 (65.413) Epoch: [11][5800/5809] Time 0.662 (0.344) Data 0.602 (0.267) Loss 2.7900 (2.6853) Prec@1 33.594 (35.151) Prec@5 62.500 (65.413) Test: [0/143] Time 1.507 (1.507) Loss 1.6037 (1.6037) Prec@1 53.125 (53.125) Prec@5 86.719 (86.719) Test: [10/143] Time 0.055 (0.350) Loss 9.5971 (8.8285) Prec@1 0.000 (6.499) Prec@5 0.000 (14.062) Test: [20/143] Time 0.927 (0.342) Loss 11.0408 (9.6617) Prec@1 0.000 (3.497) Prec@5 0.391 (8.036) Test: [30/143] Time 0.057 (0.306) Loss 12.2422 (10.1675) Prec@1 0.000 (2.394) Prec@5 0.000 (5.696) Test: [40/143] Time 0.884 (0.312) Loss 10.6527 (10.2683) Prec@1 0.781 (1.877) Prec@5 1.172 (4.573) Test: [50/143] Time 0.059 (0.295) Loss 9.5340 (10.2549) Prec@1 0.391 (1.562) Prec@5 1.172 (4.695) Test: [60/143] Time 0.829 (0.300) Loss 11.2516 (10.3555) Prec@1 0.000 (1.319) Prec@5 0.391 (4.022) Test: [70/143] Time 0.168 (0.294) Loss 9.5980 (10.4144) Prec@1 0.000 (1.144) Prec@5 0.391 (3.560) Test: [80/143] Time 0.807 (0.296) Loss 8.5231 (10.3850) Prec@1 0.391 (1.037) Prec@5 2.344 (3.371) Test: [90/143] Time 0.055 (0.291) Loss 8.1485 (10.2821) Prec@1 0.391 (0.944) Prec@5 3.906 (3.237) Test: [100/143] Time 0.915 (0.293) Loss 10.2845 (10.2436) Prec@1 0.000 (0.870) Prec@5 0.391 (3.044) Test: [110/143] Time 0.065 (0.287) Loss 12.0039 (10.2343) Prec@1 0.000 (0.820) Prec@5 0.000 (2.907) Test: [120/143] Time 0.537 (0.290) Loss 13.4623 (10.3146) Prec@1 0.000 (0.775) Prec@5 0.000 (2.747) Test: [130/143] Time 0.059 (0.286) Loss 13.7721 (10.6222) Prec@1 0.000 (0.716) Prec@5 0.000 (2.538) Test: [140/143] Time 0.583 (0.288) Loss 15.4461 (10.9029) Prec@1 0.000 (0.665) Prec@5 0.000 (2.358) * Prec@1 0.658 Prec@5 2.332 Epoch: [12][0/5809] Time 2.421 (2.421) Data 2.357 (2.357) Loss 2.6693 (2.6693) Prec@1 32.422 (32.422) Prec@5 67.578 (67.578) Epoch: [12][10/5809] Time 0.133 (0.501) Data 0.001 (0.398) Loss 2.7423 (2.6659) Prec@1 34.375 (34.730) Prec@5 66.406 (66.442) Epoch: [12][20/5809] Time 0.813 (0.443) Data 0.753 (0.338) Loss 2.5453 (2.6773) Prec@1 37.891 (34.747) Prec@5 71.094 (65.997) Epoch: [12][30/5809] Time 0.139 (0.396) Data 0.051 (0.298) Loss 2.7725 (2.6601) Prec@1 33.984 (35.118) Prec@5 60.156 (66.280) Epoch: [12][40/5809] Time 1.070 (0.398) Data 1.005 (0.306) Loss 2.8364 (2.6611) Prec@1 33.984 (35.099) Prec@5 64.453 (66.225) Epoch: [12][50/5809] Time 0.236 (0.379) Data 0.175 (0.287) Loss 2.7632 (2.6649) Prec@1 37.891 (35.256) Prec@5 64.453 (65.924) Epoch: [12][60/5809] Time 0.851 (0.377) Data 0.793 (0.286) Loss 2.5006 (2.6580) Prec@1 36.719 (35.323) Prec@5 68.750 (66.169) Epoch: [12][70/5809] Time 0.133 (0.368) Data 0.001 (0.277) Loss 2.4663 (2.6461) Prec@1 40.625 (35.580) Prec@5 69.141 (66.472) Epoch: [12][80/5809] Time 0.906 (0.370) Data 0.847 (0.282) Loss 2.6828 (2.6541) Prec@1 34.375 (35.397) Prec@5 65.625 (66.372) Epoch: [12][90/5809] Time 0.153 (0.364) Data 0.089 (0.276) Loss 2.6075 (2.6613) Prec@1 37.109 (35.332) Prec@5 67.188 (66.196) Epoch: [12][100/5809] Time 1.004 (0.368) Data 0.942 (0.278) Loss 2.7611 (2.6653) Prec@1 32.031 (35.338) Prec@5 63.281 (66.019) Epoch: [12][110/5809] Time 0.133 (0.363) Data 0.001 (0.273) Loss 2.8513 (2.6654) Prec@1 33.203 (35.258) Prec@5 65.234 (66.068) Epoch: [12][120/5809] Time 0.818 (0.362) Data 0.758 (0.273) Loss 2.5982 (2.6654) Prec@1 35.156 (35.285) Prec@5 67.969 (66.080) Epoch: [12][130/5809] Time 0.141 (0.360) Data 0.001 (0.272) Loss 2.8011 (2.6675) Prec@1 33.594 (35.228) Prec@5 64.844 (66.048) Epoch: [12][140/5809] Time 0.541 (0.359) Data 0.482 (0.271) Loss 2.5524 (2.6683) Prec@1 36.328 (35.259) Prec@5 70.703 (66.057) Epoch: [12][150/5809] Time 0.148 (0.358) Data 0.089 (0.272) Loss 2.7393 (2.6667) Prec@1 32.031 (35.231) Prec@5 66.016 (66.106) Epoch: [12][160/5809] Time 0.349 (0.357) Data 0.289 (0.272) Loss 2.7007 (2.6642) Prec@1 31.641 (35.268) Prec@5 61.719 (66.118) Epoch: [12][170/5809] Time 0.134 (0.357) Data 0.041 (0.273) Loss 2.4770 (2.6578) Prec@1 37.109 (35.408) Prec@5 72.266 (66.267) Epoch: [12][180/5809] Time 0.152 (0.355) Data 0.093 (0.272) Loss 2.5669 (2.6560) Prec@1 39.062 (35.445) Prec@5 63.672 (66.249) Epoch: [12][190/5809] Time 0.314 (0.356) Data 0.255 (0.274) Loss 2.5418 (2.6585) Prec@1 40.234 (35.406) Prec@5 66.797 (66.153) Epoch: [12][200/5809] Time 0.261 (0.354) Data 0.201 (0.274) Loss 2.7097 (2.6578) Prec@1 34.375 (35.376) Prec@5 66.406 (66.157) Epoch: [12][210/5809] Time 0.295 (0.354) Data 0.235 (0.275) Loss 2.8590 (2.6612) Prec@1 27.734 (35.278) Prec@5 58.984 (66.071) Epoch: [12][220/5809] Time 0.204 (0.354) Data 0.143 (0.276) Loss 2.3556 (2.6584) Prec@1 38.281 (35.305) Prec@5 70.312 (66.090) Epoch: [12][230/5809] Time 0.310 (0.353) Data 0.249 (0.276) Loss 2.6592 (2.6608) Prec@1 35.938 (35.266) Prec@5 61.719 (65.987) Epoch: [12][240/5809] Time 0.282 (0.354) Data 0.215 (0.276) Loss 2.6773 (2.6641) Prec@1 32.031 (35.219) Prec@5 65.234 (65.918) Epoch: [12][250/5809] Time 0.393 (0.353) Data 0.332 (0.276) Loss 2.7068 (2.6641) Prec@1 34.375 (35.204) Prec@5 62.109 (65.924) Epoch: [12][260/5809] Time 0.475 (0.353) Data 0.407 (0.276) Loss 2.5770 (2.6638) Prec@1 35.547 (35.204) Prec@5 68.750 (65.962) Epoch: [12][270/5809] Time 0.537 (0.353) Data 0.477 (0.276) Loss 2.8129 (2.6628) Prec@1 30.469 (35.238) Prec@5 61.719 (66.000) Epoch: [12][280/5809] Time 0.442 (0.352) Data 0.381 (0.276) Loss 2.7742 (2.6621) Prec@1 32.422 (35.269) Prec@5 63.281 (66.002) Epoch: [12][290/5809] Time 0.456 (0.352) Data 0.397 (0.276) Loss 2.7815 (2.6624) Prec@1 34.375 (35.249) Prec@5 60.547 (65.954) Epoch: [12][300/5809] Time 0.619 (0.352) Data 0.560 (0.276) Loss 2.8064 (2.6626) Prec@1 31.641 (35.298) Prec@5 63.281 (65.972) Epoch: [12][310/5809] Time 0.402 (0.351) Data 0.341 (0.275) Loss 2.9168 (2.6630) Prec@1 28.125 (35.291) Prec@5 59.766 (65.920) Epoch: [12][320/5809] Time 0.219 (0.351) Data 0.158 (0.275) Loss 2.8773 (2.6634) Prec@1 31.250 (35.286) Prec@5 59.766 (65.907) Epoch: [12][330/5809] Time 0.442 (0.351) Data 0.382 (0.276) Loss 2.6825 (2.6632) Prec@1 32.422 (35.292) Prec@5 66.016 (65.933) Epoch: [12][340/5809] Time 0.134 (0.351) Data 0.001 (0.275) Loss 2.7540 (2.6640) Prec@1 32.422 (35.289) Prec@5 63.672 (65.930) Epoch: [12][350/5809] Time 0.460 (0.351) Data 0.399 (0.275) Loss 2.6359 (2.6646) Prec@1 36.328 (35.289) Prec@5 70.312 (65.919) Epoch: [12][360/5809] Time 0.134 (0.350) Data 0.001 (0.274) Loss 2.5384 (2.6634) Prec@1 35.547 (35.300) Prec@5 67.578 (65.960) Epoch: [12][370/5809] Time 0.596 (0.350) Data 0.536 (0.275) Loss 2.5625 (2.6644) Prec@1 41.016 (35.311) Prec@5 64.844 (65.918) Epoch: [12][380/5809] Time 0.132 (0.349) Data 0.001 (0.274) Loss 2.6334 (2.6631) Prec@1 33.203 (35.341) Prec@5 68.359 (65.950) Epoch: [12][390/5809] Time 0.626 (0.350) Data 0.568 (0.274) Loss 2.8192 (2.6632) Prec@1 30.859 (35.344) Prec@5 64.844 (65.969) Epoch: [12][400/5809] Time 0.133 (0.349) Data 0.004 (0.273) Loss 2.5285 (2.6620) Prec@1 36.328 (35.350) Prec@5 67.578 (66.006) Epoch: [12][410/5809] Time 0.627 (0.350) Data 0.569 (0.275) Loss 2.5400 (2.6600) Prec@1 34.766 (35.335) Prec@5 66.797 (66.054) Epoch: [12][420/5809] Time 0.382 (0.350) Data 0.322 (0.274) Loss 2.6406 (2.6592) Prec@1 34.375 (35.343) Prec@5 62.891 (66.043) Epoch: [12][430/5809] Time 0.409 (0.349) Data 0.351 (0.275) Loss 2.7383 (2.6598) Prec@1 37.500 (35.354) Prec@5 64.062 (66.045) Epoch: [12][440/5809] Time 0.428 (0.350) Data 0.358 (0.275) Loss 2.5896 (2.6588) Prec@1 32.422 (35.366) Prec@5 69.531 (66.081) Epoch: [12][450/5809] Time 0.134 (0.349) Data 0.062 (0.274) Loss 2.7798 (2.6574) Prec@1 33.203 (35.381) Prec@5 62.891 (66.107) Epoch: [12][460/5809] Time 0.372 (0.349) Data 0.312 (0.275) Loss 2.4504 (2.6582) Prec@1 42.969 (35.362) Prec@5 68.750 (66.081) Epoch: [12][470/5809] Time 0.635 (0.350) Data 0.575 (0.276) Loss 2.5409 (2.6566) Prec@1 39.844 (35.417) Prec@5 68.750 (66.109) Epoch: [12][480/5809] Time 0.522 (0.349) Data 0.462 (0.276) Loss 2.9333 (2.6573) Prec@1 30.469 (35.389) Prec@5 59.766 (66.085) Epoch: [12][490/5809] Time 0.659 (0.350) Data 0.599 (0.276) Loss 2.4723 (2.6575) Prec@1 35.938 (35.399) Prec@5 67.969 (66.092) Epoch: [12][500/5809] Time 0.264 (0.349) Data 0.204 (0.276) Loss 2.5498 (2.6573) Prec@1 37.500 (35.424) Prec@5 65.234 (66.081) Epoch: [12][510/5809] Time 0.640 (0.350) Data 0.580 (0.276) Loss 2.5795 (2.6573) Prec@1 37.891 (35.438) Prec@5 66.016 (66.072) Epoch: [12][520/5809] Time 0.242 (0.349) Data 0.184 (0.276) Loss 2.6388 (2.6578) Prec@1 34.375 (35.419) Prec@5 67.188 (66.061) Epoch: [12][530/5809] Time 0.748 (0.350) Data 0.688 (0.276) Loss 2.6394 (2.6583) Prec@1 33.594 (35.415) Prec@5 65.625 (66.065) Epoch: [12][540/5809] Time 0.319 (0.349) Data 0.258 (0.275) Loss 2.6735 (2.6585) Prec@1 34.375 (35.417) Prec@5 66.016 (66.041) Epoch: [12][550/5809] Time 0.606 (0.350) Data 0.547 (0.276) Loss 2.3997 (2.6575) Prec@1 37.500 (35.439) Prec@5 73.047 (66.067) Epoch: [12][560/5809] Time 0.221 (0.349) Data 0.160 (0.275) Loss 2.5993 (2.6562) Prec@1 36.719 (35.474) Prec@5 68.750 (66.098) Epoch: [12][570/5809] Time 0.128 (0.349) Data 0.054 (0.275) Loss 2.6311 (2.6560) Prec@1 35.547 (35.476) Prec@5 65.234 (66.094) Epoch: [12][580/5809] Time 0.133 (0.349) Data 0.001 (0.274) Loss 2.7095 (2.6549) Prec@1 33.594 (35.498) Prec@5 63.281 (66.121) Epoch: [12][590/5809] Time 0.133 (0.350) Data 0.002 (0.275) Loss 2.5383 (2.6548) Prec@1 39.062 (35.487) Prec@5 65.234 (66.106) Epoch: [12][600/5809] Time 0.286 (0.349) Data 0.225 (0.274) Loss 2.7283 (2.6558) Prec@1 33.594 (35.462) Prec@5 64.062 (66.081) Epoch: [12][610/5809] Time 0.191 (0.349) Data 0.123 (0.274) Loss 2.7356 (2.6555) Prec@1 34.766 (35.457) Prec@5 60.156 (66.079) Epoch: [12][620/5809] Time 0.536 (0.349) Data 0.476 (0.274) Loss 2.7263 (2.6552) Prec@1 33.594 (35.471) Prec@5 63.672 (66.073) Epoch: [12][630/5809] Time 0.131 (0.349) Data 0.001 (0.274) Loss 2.4744 (2.6555) Prec@1 41.406 (35.484) Prec@5 70.312 (66.053) Epoch: [12][640/5809] Time 0.718 (0.349) Data 0.657 (0.274) Loss 2.6976 (2.6564) Prec@1 33.984 (35.474) Prec@5 63.281 (66.041) Epoch: [12][650/5809] Time 0.125 (0.349) Data 0.050 (0.273) Loss 2.7476 (2.6568) Prec@1 33.594 (35.457) Prec@5 67.578 (66.041) Epoch: [12][660/5809] Time 0.575 (0.349) Data 0.514 (0.274) Loss 2.7841 (2.6567) Prec@1 37.109 (35.466) Prec@5 64.062 (66.055) Epoch: [12][670/5809] Time 0.129 (0.349) Data 0.042 (0.273) Loss 2.5685 (2.6561) Prec@1 41.797 (35.478) Prec@5 66.016 (66.061) Epoch: [12][680/5809] Time 0.336 (0.349) Data 0.276 (0.274) Loss 2.7896 (2.6555) Prec@1 39.453 (35.492) Prec@5 62.109 (66.062) Epoch: [12][690/5809] Time 0.334 (0.349) Data 0.275 (0.274) Loss 2.7259 (2.6562) Prec@1 35.547 (35.481) Prec@5 66.406 (66.066) Epoch: [12][700/5809] Time 0.642 (0.349) Data 0.583 (0.274) Loss 2.7490 (2.6562) Prec@1 33.594 (35.464) Prec@5 63.672 (66.062) Epoch: [12][710/5809] Time 0.133 (0.349) Data 0.001 (0.274) Loss 2.6029 (2.6560) Prec@1 37.891 (35.474) Prec@5 65.625 (66.048) Epoch: [12][720/5809] Time 0.531 (0.349) Data 0.472 (0.275) Loss 2.4267 (2.6564) Prec@1 37.500 (35.475) Prec@5 72.656 (66.035) Epoch: [12][730/5809] Time 0.133 (0.349) Data 0.001 (0.274) Loss 2.7384 (2.6562) Prec@1 35.938 (35.480) Prec@5 65.234 (66.038) Epoch: [12][740/5809] Time 0.339 (0.349) Data 0.279 (0.274) Loss 2.5945 (2.6562) Prec@1 36.328 (35.456) Prec@5 69.141 (66.040) Epoch: [12][750/5809] Time 0.133 (0.349) Data 0.047 (0.274) Loss 2.8951 (2.6573) Prec@1 33.984 (35.439) Prec@5 63.281 (66.025) Epoch: [12][760/5809] Time 0.129 (0.348) Data 0.055 (0.274) Loss 2.7296 (2.6575) Prec@1 34.375 (35.434) Prec@5 66.406 (66.011) Epoch: [12][770/5809] Time 0.296 (0.349) Data 0.236 (0.275) Loss 2.6803 (2.6573) Prec@1 34.766 (35.436) Prec@5 67.578 (66.012) Epoch: [12][780/5809] Time 0.132 (0.348) Data 0.001 (0.274) Loss 2.5888 (2.6567) Prec@1 36.328 (35.444) Prec@5 68.359 (66.024) Epoch: [12][790/5809] Time 0.126 (0.349) Data 0.043 (0.275) Loss 2.7071 (2.6562) Prec@1 38.281 (35.465) Prec@5 67.188 (66.035) Epoch: [12][800/5809] Time 0.133 (0.348) Data 0.050 (0.274) Loss 2.5130 (2.6558) Prec@1 38.672 (35.475) Prec@5 69.922 (66.037) Epoch: [12][810/5809] Time 0.140 (0.349) Data 0.049 (0.274) Loss 2.6071 (2.6563) Prec@1 37.500 (35.468) Prec@5 66.406 (66.030) Epoch: [12][820/5809] Time 0.266 (0.348) Data 0.207 (0.274) Loss 2.7876 (2.6562) Prec@1 32.031 (35.475) Prec@5 62.109 (66.029) Epoch: [12][830/5809] Time 0.271 (0.349) Data 0.212 (0.274) Loss 2.7180 (2.6566) Prec@1 30.469 (35.473) Prec@5 66.797 (66.018) Epoch: [12][840/5809] Time 0.134 (0.348) Data 0.001 (0.273) Loss 2.6922 (2.6565) Prec@1 38.281 (35.481) Prec@5 62.891 (66.020) Epoch: [12][850/5809] Time 0.141 (0.349) Data 0.001 (0.273) Loss 2.6649 (2.6567) Prec@1 31.641 (35.482) Prec@5 66.797 (66.022) Epoch: [12][860/5809] Time 0.134 (0.348) Data 0.001 (0.272) Loss 2.7666 (2.6567) Prec@1 35.938 (35.482) Prec@5 63.672 (66.022) Epoch: [12][870/5809] Time 0.291 (0.348) Data 0.226 (0.273) Loss 2.8192 (2.6568) Prec@1 33.203 (35.484) Prec@5 63.672 (66.012) Epoch: [12][880/5809] Time 0.133 (0.348) Data 0.048 (0.272) Loss 2.6420 (2.6569) Prec@1 39.844 (35.489) Prec@5 67.188 (66.014) Epoch: [12][890/5809] Time 0.317 (0.348) Data 0.251 (0.272) Loss 2.5612 (2.6566) Prec@1 41.406 (35.491) Prec@5 69.141 (66.023) Epoch: [12][900/5809] Time 0.134 (0.348) Data 0.001 (0.271) Loss 2.9684 (2.6566) Prec@1 26.562 (35.486) Prec@5 61.719 (66.016) Epoch: [12][910/5809] Time 0.645 (0.348) Data 0.581 (0.272) Loss 2.6694 (2.6567) Prec@1 33.594 (35.486) Prec@5 66.797 (66.016) Epoch: [12][920/5809] Time 0.132 (0.348) Data 0.001 (0.271) Loss 2.8444 (2.6568) Prec@1 29.688 (35.485) Prec@5 62.891 (66.017) Epoch: [12][930/5809] Time 0.320 (0.348) Data 0.254 (0.271) Loss 2.8228 (2.6576) Prec@1 32.031 (35.468) Prec@5 61.328 (65.995) Epoch: [12][940/5809] Time 0.135 (0.347) Data 0.001 (0.271) Loss 2.6742 (2.6584) Prec@1 38.281 (35.452) Prec@5 65.625 (65.982) Epoch: [12][950/5809] Time 0.127 (0.348) Data 0.042 (0.271) Loss 2.8570 (2.6593) Prec@1 31.250 (35.440) Prec@5 61.719 (65.965) Epoch: [12][960/5809] Time 0.497 (0.348) Data 0.438 (0.271) Loss 2.8298 (2.6594) Prec@1 33.594 (35.436) Prec@5 64.453 (65.963) Epoch: [12][970/5809] Time 0.177 (0.348) Data 0.116 (0.271) Loss 2.6427 (2.6592) Prec@1 34.766 (35.437) Prec@5 64.844 (65.957) Epoch: [12][980/5809] Time 0.464 (0.347) Data 0.405 (0.271) Loss 2.7571 (2.6591) Prec@1 30.859 (35.439) Prec@5 63.281 (65.949) Epoch: [12][990/5809] Time 0.402 (0.347) Data 0.335 (0.271) Loss 2.6660 (2.6602) Prec@1 36.328 (35.418) Prec@5 62.891 (65.923) Epoch: [12][1000/5809] Time 0.449 (0.347) Data 0.389 (0.270) Loss 2.7618 (2.6605) Prec@1 38.281 (35.423) Prec@5 65.625 (65.907) Epoch: [12][1010/5809] Time 0.444 (0.347) Data 0.386 (0.271) Loss 2.5353 (2.6602) Prec@1 35.547 (35.424) Prec@5 68.359 (65.909) Epoch: [12][1020/5809] Time 0.563 (0.347) Data 0.503 (0.271) Loss 2.6798 (2.6600) Prec@1 32.422 (35.427) Prec@5 62.109 (65.905) Epoch: [12][1030/5809] Time 0.280 (0.347) Data 0.220 (0.271) Loss 2.5317 (2.6597) Prec@1 37.500 (35.442) Prec@5 64.844 (65.908) Epoch: [12][1040/5809] Time 0.427 (0.347) Data 0.366 (0.271) Loss 2.7192 (2.6601) Prec@1 35.156 (35.435) Prec@5 65.234 (65.902) Epoch: [12][1050/5809] Time 0.483 (0.347) Data 0.422 (0.271) Loss 2.8440 (2.6598) Prec@1 30.859 (35.447) Prec@5 60.938 (65.906) Epoch: [12][1060/5809] Time 0.506 (0.347) Data 0.448 (0.271) Loss 2.7444 (2.6597) Prec@1 35.938 (35.458) Prec@5 60.547 (65.905) Epoch: [12][1070/5809] Time 0.684 (0.347) Data 0.616 (0.271) Loss 2.7272 (2.6597) Prec@1 32.812 (35.469) Prec@5 64.062 (65.905) Epoch: [12][1080/5809] Time 0.375 (0.347) Data 0.310 (0.271) Loss 2.6375 (2.6596) Prec@1 36.719 (35.470) Prec@5 66.797 (65.914) Epoch: [12][1090/5809] Time 0.463 (0.347) Data 0.404 (0.271) Loss 2.5809 (2.6603) Prec@1 34.375 (35.461) Prec@5 67.969 (65.910) Epoch: [12][1100/5809] Time 0.192 (0.347) Data 0.131 (0.271) Loss 2.7373 (2.6598) Prec@1 36.719 (35.468) Prec@5 63.281 (65.924) Epoch: [12][1110/5809] Time 0.316 (0.347) Data 0.257 (0.271) Loss 2.6770 (2.6603) Prec@1 34.766 (35.447) Prec@5 64.453 (65.915) Epoch: [12][1120/5809] Time 0.133 (0.347) Data 0.061 (0.271) Loss 2.5377 (2.6604) Prec@1 35.938 (35.437) Prec@5 66.016 (65.906) Epoch: [12][1130/5809] Time 0.134 (0.347) Data 0.001 (0.271) Loss 2.8961 (2.6608) Prec@1 35.547 (35.438) Prec@5 60.156 (65.898) Epoch: [12][1140/5809] Time 0.296 (0.347) Data 0.236 (0.271) Loss 2.5642 (2.6614) Prec@1 36.719 (35.426) Prec@5 69.531 (65.888) Epoch: [12][1150/5809] Time 0.135 (0.347) Data 0.001 (0.271) Loss 2.7741 (2.6619) Prec@1 37.109 (35.422) Prec@5 62.891 (65.874) Epoch: [12][1160/5809] Time 0.305 (0.347) Data 0.246 (0.271) Loss 2.7072 (2.6621) Prec@1 30.859 (35.418) Prec@5 66.797 (65.869) Epoch: [12][1170/5809] Time 0.133 (0.347) Data 0.064 (0.271) Loss 2.5771 (2.6625) Prec@1 34.766 (35.426) Prec@5 69.141 (65.868) Epoch: [12][1180/5809] Time 0.293 (0.347) Data 0.232 (0.271) Loss 2.7154 (2.6630) Prec@1 33.984 (35.420) Prec@5 65.234 (65.858) Epoch: [12][1190/5809] Time 0.275 (0.347) Data 0.216 (0.271) Loss 2.5048 (2.6634) Prec@1 35.156 (35.422) Prec@5 68.359 (65.848) Epoch: [12][1200/5809] Time 0.399 (0.347) Data 0.339 (0.271) Loss 2.7953 (2.6634) Prec@1 32.812 (35.424) Prec@5 62.891 (65.849) Epoch: [12][1210/5809] Time 0.323 (0.347) Data 0.263 (0.271) Loss 2.7861 (2.6636) Prec@1 35.156 (35.417) Prec@5 64.062 (65.838) Epoch: [12][1220/5809] Time 0.261 (0.347) Data 0.200 (0.271) Loss 2.6100 (2.6637) Prec@1 39.844 (35.419) Prec@5 67.969 (65.829) Epoch: [12][1230/5809] Time 0.380 (0.347) Data 0.320 (0.271) Loss 2.8514 (2.6636) Prec@1 35.156 (35.425) Prec@5 60.938 (65.833) Epoch: [12][1240/5809] Time 0.134 (0.347) Data 0.073 (0.271) Loss 2.7649 (2.6634) Prec@1 38.281 (35.433) Prec@5 66.797 (65.834) Epoch: [12][1250/5809] Time 0.133 (0.347) Data 0.058 (0.271) Loss 2.4553 (2.6637) Prec@1 42.188 (35.439) Prec@5 69.141 (65.820) Epoch: [12][1260/5809] Time 0.157 (0.347) Data 0.097 (0.271) Loss 2.6831 (2.6635) Prec@1 34.766 (35.435) Prec@5 63.672 (65.827) Epoch: [12][1270/5809] Time 0.249 (0.347) Data 0.189 (0.271) Loss 2.6327 (2.6632) Prec@1 36.328 (35.444) Prec@5 64.844 (65.838) Epoch: [12][1280/5809] Time 0.134 (0.347) Data 0.002 (0.271) Loss 2.7449 (2.6634) Prec@1 31.641 (35.431) Prec@5 66.016 (65.838) Epoch: [12][1290/5809] Time 0.603 (0.347) Data 0.545 (0.271) Loss 2.5834 (2.6631) Prec@1 36.328 (35.444) Prec@5 66.016 (65.846) Epoch: [12][1300/5809] Time 0.264 (0.347) Data 0.203 (0.271) Loss 2.8269 (2.6630) Prec@1 34.766 (35.455) Prec@5 64.453 (65.849) Epoch: [12][1310/5809] Time 0.411 (0.347) Data 0.351 (0.271) Loss 2.7882 (2.6631) Prec@1 30.078 (35.454) Prec@5 62.891 (65.851) Epoch: [12][1320/5809] Time 0.133 (0.347) Data 0.001 (0.271) Loss 2.5205 (2.6631) Prec@1 38.281 (35.465) Prec@5 71.094 (65.852) Epoch: [12][1330/5809] Time 0.540 (0.347) Data 0.481 (0.271) Loss 2.6130 (2.6632) Prec@1 34.375 (35.455) Prec@5 68.359 (65.853) Epoch: [12][1340/5809] Time 0.140 (0.347) Data 0.001 (0.271) Loss 2.5871 (2.6632) Prec@1 40.234 (35.457) Prec@5 67.578 (65.854) Epoch: [12][1350/5809] Time 0.747 (0.347) Data 0.687 (0.271) Loss 2.5542 (2.6634) Prec@1 38.281 (35.455) Prec@5 67.578 (65.844) Epoch: [12][1360/5809] Time 0.133 (0.347) Data 0.059 (0.271) Loss 2.4721 (2.6636) Prec@1 38.672 (35.451) Prec@5 69.141 (65.840) Epoch: [12][1370/5809] Time 0.727 (0.347) Data 0.667 (0.271) Loss 2.8254 (2.6638) Prec@1 29.297 (35.445) Prec@5 61.719 (65.830) Epoch: [12][1380/5809] Time 0.207 (0.347) Data 0.148 (0.271) Loss 2.8833 (2.6645) Prec@1 30.859 (35.427) Prec@5 60.938 (65.816) Epoch: [12][1390/5809] Time 0.795 (0.347) Data 0.734 (0.271) Loss 2.6263 (2.6646) Prec@1 37.109 (35.423) Prec@5 66.016 (65.815) Epoch: [12][1400/5809] Time 0.133 (0.347) Data 0.056 (0.271) Loss 2.6928 (2.6649) Prec@1 34.766 (35.412) Prec@5 63.281 (65.808) Epoch: [12][1410/5809] Time 0.588 (0.347) Data 0.529 (0.271) Loss 2.7703 (2.6653) Prec@1 37.500 (35.403) Prec@5 65.234 (65.798) Epoch: [12][1420/5809] Time 0.136 (0.347) Data 0.001 (0.271) Loss 2.5014 (2.6655) Prec@1 36.719 (35.398) Prec@5 68.359 (65.795) Epoch: [12][1430/5809] Time 0.815 (0.347) Data 0.754 (0.271) Loss 2.7255 (2.6655) Prec@1 35.547 (35.396) Prec@5 65.234 (65.792) Epoch: [12][1440/5809] Time 0.133 (0.347) Data 0.001 (0.270) Loss 2.7092 (2.6657) Prec@1 30.469 (35.396) Prec@5 66.016 (65.794) Epoch: [12][1450/5809] Time 0.401 (0.347) Data 0.341 (0.271) Loss 2.5559 (2.6658) Prec@1 39.453 (35.397) Prec@5 67.578 (65.791) Epoch: [12][1460/5809] Time 0.130 (0.346) Data 0.057 (0.270) Loss 2.8199 (2.6660) Prec@1 33.594 (35.398) Prec@5 58.984 (65.789) Epoch: [12][1470/5809] Time 0.269 (0.347) Data 0.210 (0.271) Loss 2.4708 (2.6656) Prec@1 40.625 (35.409) Prec@5 70.312 (65.798) Epoch: [12][1480/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.5752 (2.6654) Prec@1 36.328 (35.411) Prec@5 69.531 (65.801) Epoch: [12][1490/5809] Time 0.215 (0.347) Data 0.156 (0.270) Loss 2.4668 (2.6655) Prec@1 40.234 (35.410) Prec@5 69.922 (65.798) Epoch: [12][1500/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.8223 (2.6657) Prec@1 33.203 (35.415) Prec@5 65.625 (65.795) Epoch: [12][1510/5809] Time 0.163 (0.347) Data 0.103 (0.270) Loss 2.5533 (2.6657) Prec@1 35.547 (35.417) Prec@5 66.016 (65.803) Epoch: [12][1520/5809] Time 0.128 (0.346) Data 0.042 (0.269) Loss 2.8896 (2.6657) Prec@1 32.812 (35.411) Prec@5 60.938 (65.805) Epoch: [12][1530/5809] Time 0.133 (0.347) Data 0.048 (0.270) Loss 2.5739 (2.6658) Prec@1 37.109 (35.411) Prec@5 67.578 (65.806) Epoch: [12][1540/5809] Time 0.185 (0.346) Data 0.124 (0.269) Loss 2.7031 (2.6655) Prec@1 35.156 (35.421) Prec@5 64.844 (65.808) Epoch: [12][1550/5809] Time 0.276 (0.347) Data 0.215 (0.269) Loss 2.5500 (2.6654) Prec@1 41.406 (35.424) Prec@5 66.016 (65.810) Epoch: [12][1560/5809] Time 0.134 (0.346) Data 0.067 (0.269) Loss 2.7625 (2.6655) Prec@1 33.594 (35.431) Prec@5 64.453 (65.805) Epoch: [12][1570/5809] Time 0.252 (0.346) Data 0.192 (0.269) Loss 2.7463 (2.6658) Prec@1 33.984 (35.427) Prec@5 65.234 (65.798) Epoch: [12][1580/5809] Time 0.126 (0.346) Data 0.053 (0.269) Loss 2.8004 (2.6663) Prec@1 35.156 (35.419) Prec@5 62.109 (65.787) Epoch: [12][1590/5809] Time 0.488 (0.347) Data 0.428 (0.269) Loss 2.8921 (2.6665) Prec@1 28.906 (35.418) Prec@5 64.062 (65.784) Epoch: [12][1600/5809] Time 0.159 (0.346) Data 0.099 (0.269) Loss 2.7825 (2.6664) Prec@1 35.938 (35.423) Prec@5 63.281 (65.781) Epoch: [12][1610/5809] Time 0.459 (0.346) Data 0.399 (0.269) Loss 2.6536 (2.6662) Prec@1 37.109 (35.433) Prec@5 65.234 (65.787) Epoch: [12][1620/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.7024 (2.6664) Prec@1 36.719 (35.438) Prec@5 65.234 (65.782) Epoch: [12][1630/5809] Time 0.660 (0.346) Data 0.601 (0.270) Loss 2.5154 (2.6662) Prec@1 40.625 (35.440) Prec@5 69.141 (65.784) Epoch: [12][1640/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.7492 (2.6666) Prec@1 34.375 (35.432) Prec@5 65.625 (65.779) Epoch: [12][1650/5809] Time 0.549 (0.346) Data 0.490 (0.269) Loss 2.6126 (2.6664) Prec@1 36.719 (35.433) Prec@5 66.797 (65.782) Epoch: [12][1660/5809] Time 0.394 (0.346) Data 0.335 (0.269) Loss 2.6561 (2.6662) Prec@1 33.984 (35.433) Prec@5 66.797 (65.786) Epoch: [12][1670/5809] Time 0.372 (0.346) Data 0.313 (0.270) Loss 2.7044 (2.6663) Prec@1 34.375 (35.430) Prec@5 64.062 (65.781) Epoch: [12][1680/5809] Time 0.421 (0.346) Data 0.361 (0.270) Loss 2.6511 (2.6667) Prec@1 33.984 (35.421) Prec@5 65.625 (65.771) Epoch: [12][1690/5809] Time 0.408 (0.346) Data 0.349 (0.270) Loss 2.8920 (2.6671) Prec@1 31.250 (35.418) Prec@5 59.766 (65.763) Epoch: [12][1700/5809] Time 0.409 (0.346) Data 0.349 (0.270) Loss 2.4234 (2.6674) Prec@1 38.281 (35.411) Prec@5 69.922 (65.754) Epoch: [12][1710/5809] Time 0.524 (0.346) Data 0.464 (0.270) Loss 2.8083 (2.6674) Prec@1 35.547 (35.419) Prec@5 63.281 (65.754) Epoch: [12][1720/5809] Time 0.629 (0.346) Data 0.570 (0.270) Loss 2.5794 (2.6672) Prec@1 41.797 (35.427) Prec@5 66.016 (65.756) Epoch: [12][1730/5809] Time 0.269 (0.346) Data 0.209 (0.270) Loss 2.3838 (2.6668) Prec@1 39.062 (35.434) Prec@5 69.922 (65.763) Epoch: [12][1740/5809] Time 0.644 (0.346) Data 0.584 (0.270) Loss 2.7344 (2.6665) Prec@1 35.156 (35.445) Prec@5 62.891 (65.771) Epoch: [12][1750/5809] Time 0.237 (0.346) Data 0.170 (0.270) Loss 2.6563 (2.6663) Prec@1 37.109 (35.451) Prec@5 67.969 (65.769) Epoch: [12][1760/5809] Time 0.488 (0.346) Data 0.426 (0.270) Loss 2.6556 (2.6660) Prec@1 39.453 (35.462) Prec@5 67.578 (65.777) Epoch: [12][1770/5809] Time 0.140 (0.346) Data 0.001 (0.270) Loss 2.4923 (2.6662) Prec@1 39.062 (35.459) Prec@5 68.750 (65.777) Epoch: [12][1780/5809] Time 0.319 (0.346) Data 0.260 (0.270) Loss 2.6966 (2.6663) Prec@1 32.031 (35.460) Prec@5 66.016 (65.772) Epoch: [12][1790/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.8405 (2.6662) Prec@1 35.156 (35.465) Prec@5 61.328 (65.778) Epoch: [12][1800/5809] Time 0.231 (0.346) Data 0.171 (0.270) Loss 2.4135 (2.6659) Prec@1 40.625 (35.464) Prec@5 69.531 (65.787) Epoch: [12][1810/5809] Time 0.216 (0.346) Data 0.156 (0.270) Loss 2.6103 (2.6662) Prec@1 34.766 (35.460) Prec@5 67.578 (65.781) Epoch: [12][1820/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.7917 (2.6667) Prec@1 31.641 (35.451) Prec@5 67.188 (65.772) Epoch: [12][1830/5809] Time 0.465 (0.346) Data 0.405 (0.270) Loss 2.5132 (2.6664) Prec@1 37.500 (35.457) Prec@5 66.406 (65.771) Epoch: [12][1840/5809] Time 0.135 (0.346) Data 0.046 (0.270) Loss 2.4706 (2.6662) Prec@1 35.938 (35.451) Prec@5 71.875 (65.778) Epoch: [12][1850/5809] Time 0.134 (0.347) Data 0.001 (0.270) Loss 2.6506 (2.6662) Prec@1 33.984 (35.451) Prec@5 65.625 (65.781) Epoch: [12][1860/5809] Time 0.125 (0.346) Data 0.047 (0.270) Loss 2.7710 (2.6664) Prec@1 34.375 (35.444) Prec@5 62.500 (65.775) Epoch: [12][1870/5809] Time 0.134 (0.347) Data 0.001 (0.270) Loss 2.7717 (2.6666) Prec@1 31.250 (35.437) Prec@5 64.453 (65.771) Epoch: [12][1880/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.8482 (2.6667) Prec@1 28.906 (35.438) Prec@5 58.203 (65.773) Epoch: [12][1890/5809] Time 0.134 (0.346) Data 0.042 (0.270) Loss 2.5766 (2.6668) Prec@1 35.547 (35.431) Prec@5 64.453 (65.770) Epoch: [12][1900/5809] Time 0.130 (0.346) Data 0.049 (0.270) Loss 2.5166 (2.6668) Prec@1 37.891 (35.433) Prec@5 66.797 (65.769) Epoch: [12][1910/5809] Time 0.133 (0.346) Data 0.044 (0.270) Loss 2.6229 (2.6671) Prec@1 39.453 (35.430) Prec@5 67.188 (65.761) Epoch: [12][1920/5809] Time 0.131 (0.346) Data 0.050 (0.270) Loss 2.7431 (2.6673) Prec@1 26.172 (35.424) Prec@5 65.625 (65.756) Epoch: [12][1930/5809] Time 0.166 (0.346) Data 0.106 (0.270) Loss 2.6307 (2.6671) Prec@1 35.156 (35.424) Prec@5 69.922 (65.762) Epoch: [12][1940/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.6048 (2.6668) Prec@1 40.625 (35.436) Prec@5 65.625 (65.766) Epoch: [12][1950/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.6495 (2.6666) Prec@1 30.078 (35.433) Prec@5 67.969 (65.771) Epoch: [12][1960/5809] Time 0.129 (0.346) Data 0.055 (0.270) Loss 2.7503 (2.6669) Prec@1 34.375 (35.427) Prec@5 64.453 (65.765) Epoch: [12][1970/5809] Time 0.133 (0.346) Data 0.063 (0.270) Loss 2.7856 (2.6668) Prec@1 33.203 (35.426) Prec@5 63.281 (65.766) Epoch: [12][1980/5809] Time 0.430 (0.346) Data 0.371 (0.270) Loss 2.8153 (2.6667) Prec@1 30.859 (35.424) Prec@5 63.281 (65.771) Epoch: [12][1990/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.6567 (2.6667) Prec@1 33.203 (35.425) Prec@5 68.750 (65.770) Epoch: [12][2000/5809] Time 0.182 (0.346) Data 0.123 (0.270) Loss 2.5899 (2.6667) Prec@1 36.719 (35.431) Prec@5 66.797 (65.767) Epoch: [12][2010/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.6010 (2.6668) Prec@1 40.234 (35.436) Prec@5 69.531 (65.766) Epoch: [12][2020/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.6913 (2.6670) Prec@1 32.812 (35.433) Prec@5 66.406 (65.760) Epoch: [12][2030/5809] Time 0.136 (0.346) Data 0.075 (0.269) Loss 2.5644 (2.6670) Prec@1 34.766 (35.436) Prec@5 67.969 (65.759) Epoch: [12][2040/5809] Time 0.135 (0.346) Data 0.048 (0.270) Loss 2.6023 (2.6668) Prec@1 39.062 (35.438) Prec@5 66.797 (65.764) Epoch: [12][2050/5809] Time 0.153 (0.346) Data 0.094 (0.269) Loss 2.7814 (2.6669) Prec@1 28.516 (35.437) Prec@5 65.234 (65.760) Epoch: [12][2060/5809] Time 0.165 (0.346) Data 0.104 (0.269) Loss 2.7358 (2.6671) Prec@1 33.203 (35.435) Prec@5 63.281 (65.757) Epoch: [12][2070/5809] Time 0.263 (0.346) Data 0.204 (0.269) Loss 2.6182 (2.6674) Prec@1 33.203 (35.426) Prec@5 66.797 (65.750) Epoch: [12][2080/5809] Time 0.128 (0.346) Data 0.044 (0.269) Loss 2.7238 (2.6672) Prec@1 35.938 (35.430) Prec@5 65.234 (65.756) Epoch: [12][2090/5809] Time 0.340 (0.346) Data 0.279 (0.269) Loss 2.5729 (2.6672) Prec@1 38.672 (35.429) Prec@5 66.406 (65.757) Epoch: [12][2100/5809] Time 0.194 (0.346) Data 0.134 (0.269) Loss 2.6815 (2.6673) Prec@1 33.203 (35.423) Prec@5 63.672 (65.754) Epoch: [12][2110/5809] Time 0.433 (0.346) Data 0.373 (0.269) Loss 2.5132 (2.6671) Prec@1 36.328 (35.423) Prec@5 66.797 (65.760) Epoch: [12][2120/5809] Time 0.274 (0.346) Data 0.215 (0.269) Loss 2.6983 (2.6669) Prec@1 35.547 (35.431) Prec@5 68.359 (65.769) Epoch: [12][2130/5809] Time 0.409 (0.346) Data 0.348 (0.269) Loss 2.7540 (2.6665) Prec@1 36.328 (35.440) Prec@5 62.500 (65.773) Epoch: [12][2140/5809] Time 0.387 (0.346) Data 0.327 (0.269) Loss 2.7437 (2.6664) Prec@1 35.156 (35.441) Prec@5 64.062 (65.774) Epoch: [12][2150/5809] Time 0.337 (0.346) Data 0.267 (0.269) Loss 2.6415 (2.6662) Prec@1 36.719 (35.444) Prec@5 64.844 (65.773) Epoch: [12][2160/5809] Time 0.563 (0.346) Data 0.503 (0.269) Loss 2.8039 (2.6665) Prec@1 32.031 (35.436) Prec@5 63.672 (65.773) Epoch: [12][2170/5809] Time 0.210 (0.346) Data 0.152 (0.269) Loss 2.7079 (2.6670) Prec@1 33.594 (35.424) Prec@5 67.578 (65.766) Epoch: [12][2180/5809] Time 0.741 (0.346) Data 0.682 (0.270) Loss 2.5071 (2.6668) Prec@1 34.766 (35.422) Prec@5 67.188 (65.772) Epoch: [12][2190/5809] Time 0.140 (0.346) Data 0.064 (0.269) Loss 2.7037 (2.6670) Prec@1 32.422 (35.418) Prec@5 64.453 (65.768) Epoch: [12][2200/5809] Time 0.824 (0.346) Data 0.763 (0.270) Loss 2.7306 (2.6669) Prec@1 31.250 (35.421) Prec@5 66.797 (65.770) Epoch: [12][2210/5809] Time 0.132 (0.346) Data 0.049 (0.269) Loss 2.6375 (2.6665) Prec@1 36.719 (35.433) Prec@5 66.797 (65.777) Epoch: [12][2220/5809] Time 0.832 (0.346) Data 0.772 (0.269) Loss 2.8198 (2.6667) Prec@1 30.078 (35.433) Prec@5 60.547 (65.770) Epoch: [12][2230/5809] Time 0.136 (0.346) Data 0.040 (0.269) Loss 2.8811 (2.6668) Prec@1 30.078 (35.426) Prec@5 57.422 (65.772) Epoch: [12][2240/5809] Time 1.103 (0.346) Data 1.037 (0.269) Loss 2.6706 (2.6671) Prec@1 36.328 (35.422) Prec@5 64.062 (65.766) Epoch: [12][2250/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.6698 (2.6670) Prec@1 38.281 (35.422) Prec@5 66.797 (65.770) Epoch: [12][2260/5809] Time 0.937 (0.346) Data 0.878 (0.269) Loss 2.6558 (2.6667) Prec@1 37.109 (35.426) Prec@5 65.625 (65.772) Epoch: [12][2270/5809] Time 0.306 (0.346) Data 0.246 (0.269) Loss 2.9757 (2.6668) Prec@1 30.859 (35.428) Prec@5 61.328 (65.770) Epoch: [12][2280/5809] Time 0.530 (0.346) Data 0.471 (0.269) Loss 2.8311 (2.6668) Prec@1 31.250 (35.431) Prec@5 59.375 (65.770) Epoch: [12][2290/5809] Time 0.449 (0.346) Data 0.391 (0.269) Loss 2.7757 (2.6667) Prec@1 35.938 (35.429) Prec@5 63.672 (65.774) Epoch: [12][2300/5809] Time 0.356 (0.346) Data 0.295 (0.269) Loss 2.7863 (2.6668) Prec@1 31.641 (35.423) Prec@5 64.844 (65.769) Epoch: [12][2310/5809] Time 0.621 (0.346) Data 0.560 (0.269) Loss 2.6288 (2.6668) Prec@1 35.938 (35.423) Prec@5 67.578 (65.775) Epoch: [12][2320/5809] Time 0.307 (0.346) Data 0.247 (0.269) Loss 2.5934 (2.6667) Prec@1 38.281 (35.425) Prec@5 67.188 (65.775) Epoch: [12][2330/5809] Time 0.235 (0.346) Data 0.174 (0.269) Loss 2.6264 (2.6668) Prec@1 38.672 (35.419) Prec@5 66.016 (65.772) Epoch: [12][2340/5809] Time 0.524 (0.346) Data 0.466 (0.269) Loss 2.6036 (2.6667) Prec@1 37.891 (35.422) Prec@5 66.406 (65.780) Epoch: [12][2350/5809] Time 0.255 (0.346) Data 0.195 (0.269) Loss 2.7703 (2.6667) Prec@1 33.594 (35.427) Prec@5 62.109 (65.783) Epoch: [12][2360/5809] Time 0.572 (0.346) Data 0.511 (0.269) Loss 2.7904 (2.6667) Prec@1 31.641 (35.422) Prec@5 65.625 (65.784) Epoch: [12][2370/5809] Time 0.205 (0.346) Data 0.145 (0.269) Loss 2.5733 (2.6666) Prec@1 39.062 (35.427) Prec@5 65.625 (65.786) Epoch: [12][2380/5809] Time 0.355 (0.346) Data 0.296 (0.269) Loss 2.7186 (2.6665) Prec@1 33.984 (35.428) Prec@5 62.500 (65.790) Epoch: [12][2390/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.9269 (2.6668) Prec@1 30.859 (35.419) Prec@5 59.375 (65.784) Epoch: [12][2400/5809] Time 0.134 (0.346) Data 0.054 (0.269) Loss 2.4871 (2.6667) Prec@1 41.797 (35.422) Prec@5 71.094 (65.790) Epoch: [12][2410/5809] Time 0.309 (0.346) Data 0.250 (0.269) Loss 2.6621 (2.6666) Prec@1 40.234 (35.421) Prec@5 67.578 (65.789) Epoch: [12][2420/5809] Time 0.133 (0.346) Data 0.040 (0.269) Loss 2.6903 (2.6665) Prec@1 35.547 (35.423) Prec@5 65.625 (65.787) Epoch: [12][2430/5809] Time 0.134 (0.346) Data 0.002 (0.269) Loss 2.6316 (2.6668) Prec@1 37.109 (35.417) Prec@5 65.625 (65.786) Epoch: [12][2440/5809] Time 0.134 (0.346) Data 0.001 (0.269) Loss 2.6478 (2.6669) Prec@1 35.938 (35.415) Prec@5 68.359 (65.788) Epoch: [12][2450/5809] Time 0.191 (0.346) Data 0.124 (0.269) Loss 2.5875 (2.6668) Prec@1 35.938 (35.420) Prec@5 64.844 (65.791) Epoch: [12][2460/5809] Time 0.339 (0.346) Data 0.280 (0.269) Loss 2.6295 (2.6667) Prec@1 33.594 (35.422) Prec@5 65.625 (65.791) Epoch: [12][2470/5809] Time 0.287 (0.346) Data 0.226 (0.269) Loss 2.4935 (2.6666) Prec@1 36.719 (35.421) Prec@5 71.094 (65.792) Epoch: [12][2480/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.7506 (2.6668) Prec@1 34.766 (35.418) Prec@5 65.625 (65.789) Epoch: [12][2490/5809] Time 0.226 (0.346) Data 0.166 (0.269) Loss 2.7534 (2.6668) Prec@1 32.031 (35.418) Prec@5 66.016 (65.795) Epoch: [12][2500/5809] Time 0.153 (0.346) Data 0.093 (0.269) Loss 2.6243 (2.6666) Prec@1 41.016 (35.425) Prec@5 63.672 (65.798) Epoch: [12][2510/5809] Time 0.203 (0.346) Data 0.142 (0.269) Loss 2.8626 (2.6668) Prec@1 32.031 (35.418) Prec@5 60.938 (65.791) Epoch: [12][2520/5809] Time 0.634 (0.346) Data 0.575 (0.269) Loss 2.5171 (2.6668) Prec@1 38.672 (35.419) Prec@5 69.922 (65.790) Epoch: [12][2530/5809] Time 0.132 (0.346) Data 0.068 (0.269) Loss 2.6265 (2.6669) Prec@1 33.203 (35.417) Prec@5 67.969 (65.792) Epoch: [12][2540/5809] Time 0.322 (0.346) Data 0.262 (0.269) Loss 2.6882 (2.6672) Prec@1 34.375 (35.414) Prec@5 67.188 (65.788) Epoch: [12][2550/5809] Time 0.338 (0.346) Data 0.279 (0.269) Loss 2.5712 (2.6672) Prec@1 37.891 (35.415) Prec@5 67.969 (65.788) Epoch: [12][2560/5809] Time 0.129 (0.346) Data 0.044 (0.269) Loss 2.7088 (2.6672) Prec@1 33.594 (35.414) Prec@5 66.016 (65.784) Epoch: [12][2570/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.5365 (2.6672) Prec@1 37.500 (35.411) Prec@5 68.750 (65.783) Epoch: [12][2580/5809] Time 0.221 (0.346) Data 0.161 (0.269) Loss 2.6137 (2.6672) Prec@1 38.281 (35.413) Prec@5 67.969 (65.783) Epoch: [12][2590/5809] Time 0.340 (0.346) Data 0.281 (0.269) Loss 2.5985 (2.6674) Prec@1 36.719 (35.406) Prec@5 63.281 (65.774) Epoch: [12][2600/5809] Time 0.135 (0.346) Data 0.001 (0.269) Loss 2.6381 (2.6675) Prec@1 37.109 (35.405) Prec@5 65.625 (65.773) Epoch: [12][2610/5809] Time 0.271 (0.346) Data 0.210 (0.269) Loss 2.7849 (2.6676) Prec@1 36.328 (35.401) Prec@5 63.281 (65.769) Epoch: [12][2620/5809] Time 0.140 (0.346) Data 0.001 (0.270) Loss 2.5005 (2.6677) Prec@1 37.500 (35.397) Prec@5 69.141 (65.766) Epoch: [12][2630/5809] Time 0.381 (0.346) Data 0.321 (0.270) Loss 2.5470 (2.6677) Prec@1 35.938 (35.394) Prec@5 68.359 (65.762) Epoch: [12][2640/5809] Time 0.252 (0.346) Data 0.192 (0.270) Loss 2.7401 (2.6675) Prec@1 34.375 (35.400) Prec@5 64.453 (65.765) Epoch: [12][2650/5809] Time 0.134 (0.346) Data 0.001 (0.269) Loss 2.7414 (2.6676) Prec@1 31.641 (35.400) Prec@5 62.891 (65.760) Epoch: [12][2660/5809] Time 0.249 (0.346) Data 0.190 (0.270) Loss 2.6709 (2.6678) Prec@1 34.766 (35.399) Prec@5 68.359 (65.760) Epoch: [12][2670/5809] Time 0.385 (0.346) Data 0.326 (0.270) Loss 2.6607 (2.6679) Prec@1 35.547 (35.395) Prec@5 66.406 (65.757) Epoch: [12][2680/5809] Time 0.371 (0.346) Data 0.311 (0.270) Loss 2.7657 (2.6679) Prec@1 34.375 (35.392) Prec@5 60.156 (65.757) Epoch: [12][2690/5809] Time 0.417 (0.346) Data 0.357 (0.270) Loss 2.5212 (2.6680) Prec@1 36.719 (35.390) Prec@5 69.141 (65.757) Epoch: [12][2700/5809] Time 0.199 (0.346) Data 0.139 (0.270) Loss 2.5662 (2.6681) Prec@1 35.938 (35.388) Prec@5 66.406 (65.753) Epoch: [12][2710/5809] Time 0.524 (0.346) Data 0.465 (0.270) Loss 2.5121 (2.6678) Prec@1 39.844 (35.398) Prec@5 69.141 (65.760) Epoch: [12][2720/5809] Time 0.198 (0.346) Data 0.138 (0.270) Loss 2.8714 (2.6680) Prec@1 33.203 (35.398) Prec@5 59.375 (65.755) Epoch: [12][2730/5809] Time 0.322 (0.346) Data 0.263 (0.270) Loss 2.7356 (2.6681) Prec@1 37.500 (35.401) Prec@5 64.844 (65.752) Epoch: [12][2740/5809] Time 0.549 (0.346) Data 0.490 (0.270) Loss 2.7566 (2.6681) Prec@1 32.422 (35.402) Prec@5 62.109 (65.752) Epoch: [12][2750/5809] Time 0.126 (0.346) Data 0.041 (0.270) Loss 2.7832 (2.6681) Prec@1 29.297 (35.407) Prec@5 67.578 (65.752) Epoch: [12][2760/5809] Time 0.561 (0.346) Data 0.502 (0.270) Loss 2.8720 (2.6683) Prec@1 30.469 (35.401) Prec@5 60.938 (65.750) Epoch: [12][2770/5809] Time 0.164 (0.346) Data 0.105 (0.270) Loss 2.7622 (2.6682) Prec@1 31.250 (35.401) Prec@5 63.281 (65.752) Epoch: [12][2780/5809] Time 0.410 (0.346) Data 0.350 (0.270) Loss 2.8674 (2.6684) Prec@1 33.203 (35.398) Prec@5 60.547 (65.745) Epoch: [12][2790/5809] Time 0.299 (0.346) Data 0.239 (0.270) Loss 2.6291 (2.6687) Prec@1 35.156 (35.396) Prec@5 65.234 (65.742) Epoch: [12][2800/5809] Time 0.365 (0.346) Data 0.304 (0.270) Loss 2.5012 (2.6685) Prec@1 38.281 (35.406) Prec@5 67.578 (65.744) Epoch: [12][2810/5809] Time 0.282 (0.346) Data 0.222 (0.270) Loss 2.4856 (2.6684) Prec@1 37.500 (35.403) Prec@5 70.312 (65.745) Epoch: [12][2820/5809] Time 0.682 (0.346) Data 0.621 (0.270) Loss 2.5025 (2.6685) Prec@1 38.672 (35.404) Prec@5 72.266 (65.741) Epoch: [12][2830/5809] Time 0.180 (0.346) Data 0.113 (0.270) Loss 2.6672 (2.6687) Prec@1 35.938 (35.401) Prec@5 64.844 (65.739) Epoch: [12][2840/5809] Time 0.633 (0.346) Data 0.574 (0.270) Loss 2.5586 (2.6685) Prec@1 41.016 (35.402) Prec@5 66.406 (65.743) Epoch: [12][2850/5809] Time 0.197 (0.346) Data 0.136 (0.270) Loss 2.8024 (2.6687) Prec@1 31.641 (35.403) Prec@5 64.844 (65.743) Epoch: [12][2860/5809] Time 0.512 (0.346) Data 0.454 (0.270) Loss 2.6579 (2.6687) Prec@1 33.594 (35.402) Prec@5 65.234 (65.739) Epoch: [12][2870/5809] Time 0.132 (0.346) Data 0.001 (0.270) Loss 2.5351 (2.6687) Prec@1 41.016 (35.407) Prec@5 67.188 (65.737) Epoch: [12][2880/5809] Time 0.547 (0.346) Data 0.487 (0.270) Loss 2.7428 (2.6687) Prec@1 34.766 (35.406) Prec@5 61.719 (65.741) Epoch: [12][2890/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.7049 (2.6685) Prec@1 35.547 (35.411) Prec@5 65.625 (65.744) Epoch: [12][2900/5809] Time 0.773 (0.346) Data 0.707 (0.270) Loss 2.7218 (2.6683) Prec@1 28.906 (35.411) Prec@5 66.016 (65.747) Epoch: [12][2910/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.7736 (2.6684) Prec@1 32.422 (35.411) Prec@5 65.234 (65.745) Epoch: [12][2920/5809] Time 0.983 (0.346) Data 0.924 (0.270) Loss 2.7952 (2.6686) Prec@1 30.078 (35.409) Prec@5 61.328 (65.746) Epoch: [12][2930/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.6682 (2.6686) Prec@1 32.422 (35.409) Prec@5 68.359 (65.747) Epoch: [12][2940/5809] Time 0.819 (0.346) Data 0.753 (0.270) Loss 2.7756 (2.6685) Prec@1 32.422 (35.411) Prec@5 62.109 (65.749) Epoch: [12][2950/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.5848 (2.6684) Prec@1 35.547 (35.416) Prec@5 69.531 (65.747) Epoch: [12][2960/5809] Time 0.954 (0.346) Data 0.887 (0.270) Loss 2.9787 (2.6685) Prec@1 30.469 (35.414) Prec@5 60.547 (65.742) Epoch: [12][2970/5809] Time 0.134 (0.346) Data 0.043 (0.270) Loss 2.6732 (2.6686) Prec@1 35.547 (35.408) Prec@5 65.234 (65.743) Epoch: [12][2980/5809] Time 0.926 (0.346) Data 0.866 (0.270) Loss 2.6297 (2.6686) Prec@1 32.031 (35.401) Prec@5 64.844 (65.742) Epoch: [12][2990/5809] Time 0.487 (0.346) Data 0.426 (0.270) Loss 2.5042 (2.6687) Prec@1 37.891 (35.398) Prec@5 68.750 (65.743) Epoch: [12][3000/5809] Time 0.646 (0.346) Data 0.577 (0.270) Loss 2.7148 (2.6686) Prec@1 33.984 (35.400) Prec@5 63.281 (65.742) Epoch: [12][3010/5809] Time 0.324 (0.346) Data 0.265 (0.270) Loss 2.7238 (2.6686) Prec@1 35.156 (35.400) Prec@5 64.453 (65.742) Epoch: [12][3020/5809] Time 0.688 (0.346) Data 0.628 (0.270) Loss 2.5802 (2.6685) Prec@1 39.062 (35.402) Prec@5 67.578 (65.743) Epoch: [12][3030/5809] Time 0.406 (0.346) Data 0.345 (0.270) Loss 2.8320 (2.6687) Prec@1 31.250 (35.399) Prec@5 62.109 (65.740) Epoch: [12][3040/5809] Time 0.587 (0.346) Data 0.528 (0.270) Loss 2.6541 (2.6687) Prec@1 35.938 (35.401) Prec@5 67.969 (65.740) Epoch: [12][3050/5809] Time 0.304 (0.346) Data 0.244 (0.270) Loss 2.5980 (2.6687) Prec@1 38.281 (35.403) Prec@5 67.188 (65.742) Epoch: [12][3060/5809] Time 0.767 (0.346) Data 0.706 (0.270) Loss 2.5783 (2.6688) Prec@1 39.453 (35.402) Prec@5 67.578 (65.743) Epoch: [12][3070/5809] Time 0.128 (0.346) Data 0.046 (0.270) Loss 2.8211 (2.6688) Prec@1 31.641 (35.403) Prec@5 62.500 (65.744) Epoch: [12][3080/5809] Time 0.214 (0.346) Data 0.154 (0.270) Loss 2.6890 (2.6688) Prec@1 34.375 (35.403) Prec@5 63.281 (65.743) Epoch: [12][3090/5809] Time 0.281 (0.346) Data 0.222 (0.270) Loss 2.6420 (2.6689) Prec@1 34.766 (35.399) Prec@5 67.188 (65.740) Epoch: [12][3100/5809] Time 0.131 (0.346) Data 0.002 (0.270) Loss 2.7051 (2.6690) Prec@1 31.641 (35.395) Prec@5 66.016 (65.737) Epoch: [12][3110/5809] Time 0.225 (0.346) Data 0.166 (0.270) Loss 2.7986 (2.6691) Prec@1 35.156 (35.398) Prec@5 64.453 (65.735) Epoch: [12][3120/5809] Time 0.276 (0.346) Data 0.217 (0.270) Loss 2.6039 (2.6689) Prec@1 37.109 (35.403) Prec@5 65.625 (65.736) Epoch: [12][3130/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.7391 (2.6691) Prec@1 32.031 (35.403) Prec@5 64.844 (65.733) Epoch: [12][3140/5809] Time 0.209 (0.346) Data 0.149 (0.270) Loss 2.7466 (2.6692) Prec@1 33.203 (35.403) Prec@5 67.188 (65.733) Epoch: [12][3150/5809] Time 0.135 (0.346) Data 0.075 (0.270) Loss 2.8394 (2.6692) Prec@1 30.078 (35.401) Prec@5 60.938 (65.732) Epoch: [12][3160/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.8501 (2.6692) Prec@1 30.859 (35.402) Prec@5 59.766 (65.732) Epoch: [12][3170/5809] Time 0.262 (0.346) Data 0.202 (0.270) Loss 2.5821 (2.6690) Prec@1 36.719 (35.406) Prec@5 64.844 (65.735) Epoch: [12][3180/5809] Time 0.133 (0.346) Data 0.052 (0.270) Loss 2.5229 (2.6691) Prec@1 40.625 (35.408) Prec@5 67.969 (65.734) Epoch: [12][3190/5809] Time 0.177 (0.346) Data 0.117 (0.270) Loss 2.8529 (2.6692) Prec@1 32.031 (35.404) Prec@5 63.281 (65.731) Epoch: [12][3200/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.6160 (2.6693) Prec@1 37.500 (35.405) Prec@5 66.406 (65.731) Epoch: [12][3210/5809] Time 0.133 (0.346) Data 0.051 (0.269) Loss 2.5184 (2.6692) Prec@1 39.453 (35.409) Prec@5 70.312 (65.732) Epoch: [12][3220/5809] Time 0.134 (0.346) Data 0.006 (0.269) Loss 2.7118 (2.6691) Prec@1 38.281 (35.411) Prec@5 66.406 (65.734) Epoch: [12][3230/5809] Time 0.133 (0.345) Data 0.001 (0.269) Loss 2.5723 (2.6689) Prec@1 37.500 (35.415) Prec@5 69.141 (65.737) Epoch: [12][3240/5809] Time 0.134 (0.345) Data 0.001 (0.269) Loss 2.7931 (2.6690) Prec@1 33.203 (35.412) Prec@5 62.891 (65.736) Epoch: [12][3250/5809] Time 0.233 (0.345) Data 0.174 (0.269) Loss 2.4500 (2.6687) Prec@1 35.938 (35.418) Prec@5 70.312 (65.744) Epoch: [12][3260/5809] Time 0.274 (0.345) Data 0.215 (0.269) Loss 2.8348 (2.6687) Prec@1 33.203 (35.419) Prec@5 60.938 (65.746) Epoch: [12][3270/5809] Time 0.133 (0.345) Data 0.046 (0.269) Loss 2.6484 (2.6687) Prec@1 34.766 (35.418) Prec@5 64.062 (65.747) Epoch: [12][3280/5809] Time 0.434 (0.346) Data 0.374 (0.270) Loss 2.9529 (2.6687) Prec@1 30.469 (35.419) Prec@5 60.156 (65.747) Epoch: [12][3290/5809] Time 0.133 (0.345) Data 0.050 (0.269) Loss 2.5940 (2.6686) Prec@1 38.672 (35.423) Prec@5 66.016 (65.748) Epoch: [12][3300/5809] Time 0.377 (0.346) Data 0.312 (0.269) Loss 2.9137 (2.6689) Prec@1 32.812 (35.421) Prec@5 55.469 (65.740) Epoch: [12][3310/5809] Time 0.134 (0.345) Data 0.001 (0.269) Loss 2.4712 (2.6690) Prec@1 38.281 (35.418) Prec@5 69.922 (65.741) Epoch: [12][3320/5809] Time 0.162 (0.345) Data 0.103 (0.269) Loss 2.8029 (2.6688) Prec@1 35.547 (35.423) Prec@5 62.500 (65.745) Epoch: [12][3330/5809] Time 0.132 (0.345) Data 0.001 (0.269) Loss 2.6766 (2.6689) Prec@1 34.375 (35.420) Prec@5 65.625 (65.746) Epoch: [12][3340/5809] Time 0.255 (0.345) Data 0.197 (0.269) Loss 2.8502 (2.6690) Prec@1 33.594 (35.422) Prec@5 59.766 (65.744) Epoch: [12][3350/5809] Time 0.133 (0.345) Data 0.063 (0.269) Loss 2.7843 (2.6690) Prec@1 32.422 (35.424) Prec@5 64.453 (65.744) Epoch: [12][3360/5809] Time 0.177 (0.345) Data 0.116 (0.269) Loss 2.8263 (2.6691) Prec@1 33.594 (35.422) Prec@5 62.500 (65.740) Epoch: [12][3370/5809] Time 0.267 (0.345) Data 0.207 (0.269) Loss 2.9002 (2.6691) Prec@1 27.734 (35.419) Prec@5 60.156 (65.740) Epoch: [12][3380/5809] Time 0.182 (0.345) Data 0.122 (0.269) Loss 2.5226 (2.6690) Prec@1 37.891 (35.420) Prec@5 69.922 (65.741) Epoch: [12][3390/5809] Time 0.356 (0.345) Data 0.297 (0.269) Loss 2.5087 (2.6689) Prec@1 42.578 (35.424) Prec@5 66.016 (65.744) Epoch: [12][3400/5809] Time 0.200 (0.345) Data 0.141 (0.269) Loss 2.6470 (2.6689) Prec@1 37.109 (35.424) Prec@5 69.922 (65.747) Epoch: [12][3410/5809] Time 0.442 (0.345) Data 0.384 (0.269) Loss 2.8233 (2.6690) Prec@1 32.812 (35.423) Prec@5 63.281 (65.745) Epoch: [12][3420/5809] Time 0.132 (0.345) Data 0.043 (0.269) Loss 2.6766 (2.6690) Prec@1 37.891 (35.426) Prec@5 62.891 (65.744) Epoch: [12][3430/5809] Time 0.725 (0.345) Data 0.664 (0.269) Loss 2.5250 (2.6690) Prec@1 40.234 (35.429) Prec@5 67.578 (65.741) Epoch: [12][3440/5809] Time 0.128 (0.345) Data 0.059 (0.269) Loss 2.4039 (2.6692) Prec@1 40.625 (35.425) Prec@5 72.266 (65.737) Epoch: [12][3450/5809] Time 0.666 (0.345) Data 0.600 (0.269) Loss 2.5431 (2.6691) Prec@1 35.938 (35.427) Prec@5 65.234 (65.735) Epoch: [12][3460/5809] Time 0.135 (0.345) Data 0.001 (0.269) Loss 2.6289 (2.6692) Prec@1 37.109 (35.425) Prec@5 65.625 (65.734) Epoch: [12][3470/5809] Time 0.344 (0.345) Data 0.283 (0.269) Loss 2.7104 (2.6693) Prec@1 33.203 (35.420) Prec@5 63.281 (65.732) Epoch: [12][3480/5809] Time 0.135 (0.345) Data 0.001 (0.269) Loss 2.8507 (2.6694) Prec@1 34.375 (35.417) Prec@5 62.891 (65.725) Epoch: [12][3490/5809] Time 0.558 (0.345) Data 0.498 (0.269) Loss 2.5987 (2.6696) Prec@1 39.453 (35.418) Prec@5 69.531 (65.725) Epoch: [12][3500/5809] Time 0.228 (0.345) Data 0.169 (0.269) Loss 2.7141 (2.6695) Prec@1 36.328 (35.422) Prec@5 63.672 (65.727) Epoch: [12][3510/5809] Time 0.394 (0.345) Data 0.334 (0.269) Loss 2.5371 (2.6695) Prec@1 36.719 (35.422) Prec@5 67.578 (65.730) Epoch: [12][3520/5809] Time 0.232 (0.345) Data 0.173 (0.269) Loss 2.7296 (2.6696) Prec@1 35.156 (35.421) Prec@5 64.453 (65.727) Epoch: [12][3530/5809] Time 0.771 (0.345) Data 0.711 (0.269) Loss 2.4872 (2.6694) Prec@1 34.766 (35.425) Prec@5 68.750 (65.733) Epoch: [12][3540/5809] Time 0.139 (0.345) Data 0.043 (0.269) Loss 2.6886 (2.6695) Prec@1 39.062 (35.426) Prec@5 67.188 (65.731) Epoch: [12][3550/5809] Time 0.981 (0.345) Data 0.921 (0.269) Loss 2.5276 (2.6694) Prec@1 37.891 (35.426) Prec@5 68.359 (65.736) Epoch: [12][3560/5809] Time 0.141 (0.345) Data 0.069 (0.269) Loss 2.6071 (2.6694) Prec@1 37.500 (35.429) Prec@5 66.406 (65.733) Epoch: [12][3570/5809] Time 0.916 (0.345) Data 0.853 (0.269) Loss 2.6875 (2.6695) Prec@1 34.375 (35.427) Prec@5 65.625 (65.732) Epoch: [12][3580/5809] Time 0.127 (0.345) Data 0.054 (0.269) Loss 2.6791 (2.6694) Prec@1 32.812 (35.430) Prec@5 66.016 (65.738) Epoch: [12][3590/5809] Time 0.877 (0.345) Data 0.817 (0.269) Loss 2.5425 (2.6693) Prec@1 33.594 (35.432) Prec@5 69.531 (65.741) Epoch: [12][3600/5809] Time 0.134 (0.345) Data 0.065 (0.269) Loss 2.5767 (2.6693) Prec@1 37.109 (35.433) Prec@5 67.969 (65.742) Epoch: [12][3610/5809] Time 0.888 (0.345) Data 0.828 (0.269) Loss 2.6984 (2.6692) Prec@1 35.547 (35.436) Prec@5 64.844 (65.743) Epoch: [12][3620/5809] Time 0.134 (0.345) Data 0.043 (0.269) Loss 2.6888 (2.6693) Prec@1 35.156 (35.434) Prec@5 67.578 (65.738) Epoch: [12][3630/5809] Time 0.901 (0.345) Data 0.836 (0.269) Loss 2.7956 (2.6692) Prec@1 32.422 (35.433) Prec@5 62.109 (65.740) Epoch: [12][3640/5809] Time 0.217 (0.345) Data 0.158 (0.269) Loss 2.5129 (2.6692) Prec@1 38.281 (35.433) Prec@5 72.656 (65.742) Epoch: [12][3650/5809] Time 0.861 (0.345) Data 0.794 (0.269) Loss 2.5318 (2.6693) Prec@1 38.672 (35.432) Prec@5 62.891 (65.737) Epoch: [12][3660/5809] Time 0.134 (0.345) Data 0.001 (0.269) Loss 2.8242 (2.6692) Prec@1 32.812 (35.431) Prec@5 62.500 (65.738) Epoch: [12][3670/5809] Time 1.018 (0.345) Data 0.954 (0.269) Loss 2.5838 (2.6693) Prec@1 39.844 (35.430) Prec@5 67.969 (65.736) Epoch: [12][3680/5809] Time 0.133 (0.345) Data 0.001 (0.269) Loss 2.5711 (2.6693) Prec@1 35.547 (35.428) Prec@5 67.578 (65.734) Epoch: [12][3690/5809] Time 0.810 (0.345) Data 0.750 (0.269) Loss 2.7221 (2.6694) Prec@1 33.594 (35.427) Prec@5 66.406 (65.731) Epoch: [12][3700/5809] Time 0.140 (0.345) Data 0.080 (0.269) Loss 2.7348 (2.6696) Prec@1 36.719 (35.423) Prec@5 64.453 (65.725) Epoch: [12][3710/5809] Time 0.529 (0.345) Data 0.470 (0.269) Loss 2.5382 (2.6694) Prec@1 35.547 (35.423) Prec@5 69.531 (65.729) Epoch: [12][3720/5809] Time 0.134 (0.345) Data 0.001 (0.269) Loss 2.7587 (2.6694) Prec@1 32.031 (35.421) Prec@5 66.016 (65.728) Epoch: [12][3730/5809] Time 0.722 (0.345) Data 0.662 (0.269) Loss 2.7318 (2.6694) Prec@1 35.156 (35.422) Prec@5 63.672 (65.728) Epoch: [12][3740/5809] Time 0.133 (0.345) Data 0.044 (0.269) Loss 2.5909 (2.6693) Prec@1 37.500 (35.425) Prec@5 68.359 (65.728) Epoch: [12][3750/5809] Time 0.727 (0.345) Data 0.667 (0.269) Loss 2.5576 (2.6692) Prec@1 37.500 (35.428) Prec@5 66.016 (65.729) Epoch: [12][3760/5809] Time 0.163 (0.345) Data 0.102 (0.269) Loss 2.6613 (2.6693) Prec@1 33.203 (35.424) Prec@5 65.625 (65.727) Epoch: [12][3770/5809] Time 0.753 (0.345) Data 0.693 (0.269) Loss 2.7029 (2.6693) Prec@1 32.812 (35.423) Prec@5 65.625 (65.727) Epoch: [12][3780/5809] Time 0.129 (0.345) Data 0.001 (0.269) Loss 2.6386 (2.6691) Prec@1 35.547 (35.426) Prec@5 67.578 (65.732) Epoch: [12][3790/5809] Time 0.933 (0.345) Data 0.867 (0.269) Loss 2.6371 (2.6689) Prec@1 36.328 (35.434) Prec@5 68.750 (65.737) Epoch: [12][3800/5809] Time 0.133 (0.345) Data 0.001 (0.268) Loss 2.4943 (2.6686) Prec@1 41.406 (35.440) Prec@5 68.359 (65.740) Epoch: [12][3810/5809] Time 0.995 (0.345) Data 0.936 (0.268) Loss 2.5701 (2.6687) Prec@1 38.672 (35.442) Prec@5 67.969 (65.742) Epoch: [12][3820/5809] Time 0.139 (0.345) Data 0.001 (0.268) Loss 2.4766 (2.6685) Prec@1 40.625 (35.448) Prec@5 72.266 (65.746) Epoch: [12][3830/5809] Time 0.805 (0.345) Data 0.746 (0.268) Loss 2.5799 (2.6683) Prec@1 35.938 (35.448) Prec@5 66.406 (65.748) Epoch: [12][3840/5809] Time 0.168 (0.345) Data 0.109 (0.268) Loss 2.6134 (2.6682) Prec@1 37.109 (35.452) Prec@5 68.359 (65.750) Epoch: [12][3850/5809] Time 0.858 (0.345) Data 0.799 (0.268) Loss 2.6282 (2.6682) Prec@1 34.766 (35.452) Prec@5 66.797 (65.750) Epoch: [12][3860/5809] Time 0.298 (0.345) Data 0.238 (0.268) Loss 2.5403 (2.6683) Prec@1 32.031 (35.448) Prec@5 68.359 (65.750) Epoch: [12][3870/5809] Time 0.795 (0.345) Data 0.735 (0.268) Loss 2.8252 (2.6685) Prec@1 36.328 (35.444) Prec@5 64.844 (65.744) Epoch: [12][3880/5809] Time 0.300 (0.345) Data 0.240 (0.268) Loss 2.7283 (2.6684) Prec@1 35.547 (35.449) Prec@5 62.891 (65.746) Epoch: [12][3890/5809] Time 0.707 (0.345) Data 0.640 (0.268) Loss 2.8240 (2.6686) Prec@1 31.250 (35.444) Prec@5 63.672 (65.745) Epoch: [12][3900/5809] Time 0.434 (0.345) Data 0.376 (0.268) Loss 2.6347 (2.6687) Prec@1 35.938 (35.444) Prec@5 68.750 (65.743) Epoch: [12][3910/5809] Time 0.438 (0.345) Data 0.374 (0.268) Loss 2.4863 (2.6687) Prec@1 38.281 (35.444) Prec@5 67.188 (65.741) Epoch: [12][3920/5809] Time 0.571 (0.345) Data 0.511 (0.268) Loss 2.7145 (2.6688) Prec@1 33.984 (35.445) Prec@5 64.844 (65.739) Epoch: [12][3930/5809] Time 0.273 (0.345) Data 0.212 (0.268) Loss 2.3492 (2.6686) Prec@1 42.188 (35.448) Prec@5 72.656 (65.744) Epoch: [12][3940/5809] Time 0.528 (0.345) Data 0.468 (0.268) Loss 2.6423 (2.6685) Prec@1 37.500 (35.450) Prec@5 63.672 (65.745) Epoch: [12][3950/5809] Time 0.134 (0.345) Data 0.001 (0.268) Loss 2.6169 (2.6685) Prec@1 33.984 (35.451) Prec@5 66.797 (65.745) Epoch: [12][3960/5809] Time 0.367 (0.345) Data 0.308 (0.268) Loss 2.7141 (2.6686) Prec@1 35.156 (35.447) Prec@5 64.453 (65.745) Epoch: [12][3970/5809] Time 0.142 (0.345) Data 0.061 (0.268) Loss 2.6789 (2.6686) Prec@1 37.109 (35.451) Prec@5 67.188 (65.748) Epoch: [12][3980/5809] Time 0.336 (0.345) Data 0.276 (0.268) Loss 2.7028 (2.6684) Prec@1 33.594 (35.452) Prec@5 66.797 (65.750) Epoch: [12][3990/5809] Time 0.140 (0.345) Data 0.001 (0.268) Loss 2.7944 (2.6684) Prec@1 31.250 (35.450) Prec@5 64.844 (65.751) Epoch: [12][4000/5809] Time 0.133 (0.345) Data 0.001 (0.268) Loss 2.4754 (2.6683) Prec@1 38.672 (35.455) Prec@5 67.578 (65.754) Epoch: [12][4010/5809] Time 0.140 (0.345) Data 0.001 (0.268) Loss 2.7434 (2.6684) Prec@1 34.766 (35.454) Prec@5 64.062 (65.750) Epoch: [12][4020/5809] Time 0.134 (0.345) Data 0.068 (0.268) Loss 2.8110 (2.6685) Prec@1 28.906 (35.452) Prec@5 62.500 (65.747) Epoch: [12][4030/5809] Time 0.206 (0.345) Data 0.145 (0.268) Loss 2.8574 (2.6686) Prec@1 32.031 (35.448) Prec@5 64.062 (65.744) Epoch: [12][4040/5809] Time 0.191 (0.345) Data 0.130 (0.268) Loss 2.7150 (2.6685) Prec@1 33.984 (35.453) Prec@5 65.234 (65.744) Epoch: [12][4050/5809] Time 0.158 (0.345) Data 0.098 (0.268) Loss 2.7825 (2.6686) Prec@1 33.984 (35.454) Prec@5 62.109 (65.744) Epoch: [12][4060/5809] Time 0.546 (0.345) Data 0.485 (0.268) Loss 2.5792 (2.6684) Prec@1 37.109 (35.456) Prec@5 68.359 (65.748) Epoch: [12][4070/5809] Time 0.356 (0.345) Data 0.296 (0.268) Loss 2.6487 (2.6685) Prec@1 38.281 (35.456) Prec@5 66.797 (65.748) Epoch: [12][4080/5809] Time 0.613 (0.345) Data 0.553 (0.268) Loss 2.8050 (2.6688) Prec@1 33.203 (35.452) Prec@5 63.281 (65.742) Epoch: [12][4090/5809] Time 0.332 (0.345) Data 0.264 (0.268) Loss 2.5684 (2.6687) Prec@1 35.938 (35.453) Prec@5 67.188 (65.746) Epoch: [12][4100/5809] Time 0.799 (0.345) Data 0.739 (0.268) Loss 2.7691 (2.6687) Prec@1 39.844 (35.455) Prec@5 67.969 (65.748) Epoch: [12][4110/5809] Time 0.231 (0.345) Data 0.164 (0.268) Loss 2.7682 (2.6688) Prec@1 33.203 (35.452) Prec@5 64.453 (65.746) Epoch: [12][4120/5809] Time 0.742 (0.345) Data 0.683 (0.268) Loss 2.7298 (2.6687) Prec@1 32.812 (35.453) Prec@5 65.234 (65.748) Epoch: [12][4130/5809] Time 0.176 (0.345) Data 0.115 (0.268) Loss 2.5981 (2.6688) Prec@1 38.672 (35.455) Prec@5 65.625 (65.748) Epoch: [12][4140/5809] Time 0.565 (0.345) Data 0.505 (0.268) Loss 2.7251 (2.6688) Prec@1 34.375 (35.453) Prec@5 65.234 (65.750) Epoch: [12][4150/5809] Time 0.133 (0.345) Data 0.002 (0.268) Loss 2.4616 (2.6687) Prec@1 37.500 (35.453) Prec@5 71.094 (65.751) Epoch: [12][4160/5809] Time 0.589 (0.345) Data 0.526 (0.268) Loss 2.6087 (2.6686) Prec@1 38.672 (35.454) Prec@5 67.969 (65.754) Epoch: [12][4170/5809] Time 0.123 (0.345) Data 0.053 (0.268) Loss 2.6436 (2.6687) Prec@1 33.203 (35.453) Prec@5 67.578 (65.753) Epoch: [12][4180/5809] Time 0.673 (0.345) Data 0.614 (0.268) Loss 2.7287 (2.6687) Prec@1 35.547 (35.453) Prec@5 66.016 (65.752) Epoch: [12][4190/5809] Time 0.427 (0.345) Data 0.369 (0.268) Loss 2.6680 (2.6687) Prec@1 36.719 (35.455) Prec@5 66.406 (65.752) Epoch: [12][4200/5809] Time 0.839 (0.345) Data 0.778 (0.268) Loss 2.8765 (2.6689) Prec@1 28.906 (35.451) Prec@5 59.375 (65.747) Epoch: [12][4210/5809] Time 0.428 (0.345) Data 0.362 (0.268) Loss 2.6857 (2.6689) Prec@1 35.938 (35.450) Prec@5 65.234 (65.746) Epoch: [12][4220/5809] Time 0.537 (0.345) Data 0.477 (0.268) Loss 2.9435 (2.6690) Prec@1 32.812 (35.449) Prec@5 60.938 (65.744) Epoch: [12][4230/5809] Time 0.135 (0.345) Data 0.059 (0.268) Loss 2.5420 (2.6690) Prec@1 39.062 (35.448) Prec@5 72.656 (65.744) Epoch: [12][4240/5809] Time 0.398 (0.345) Data 0.338 (0.268) Loss 2.6730 (2.6691) Prec@1 32.422 (35.447) Prec@5 62.891 (65.744) Epoch: [12][4250/5809] Time 0.169 (0.345) Data 0.109 (0.268) Loss 2.5562 (2.6690) Prec@1 35.547 (35.447) Prec@5 67.578 (65.743) Epoch: [12][4260/5809] Time 0.126 (0.345) Data 0.045 (0.268) Loss 2.8548 (2.6690) Prec@1 28.516 (35.446) Prec@5 64.453 (65.745) Epoch: [12][4270/5809] Time 0.203 (0.345) Data 0.143 (0.268) Loss 2.5972 (2.6689) Prec@1 33.984 (35.447) Prec@5 63.281 (65.746) Epoch: [12][4280/5809] Time 0.132 (0.345) Data 0.047 (0.268) Loss 2.6874 (2.6689) Prec@1 31.641 (35.444) Prec@5 65.625 (65.744) Epoch: [12][4290/5809] Time 0.239 (0.345) Data 0.179 (0.268) Loss 2.5660 (2.6688) Prec@1 38.281 (35.446) Prec@5 66.016 (65.745) Epoch: [12][4300/5809] Time 0.134 (0.345) Data 0.001 (0.268) Loss 2.6543 (2.6687) Prec@1 37.109 (35.448) Prec@5 64.062 (65.747) Epoch: [12][4310/5809] Time 0.133 (0.345) Data 0.001 (0.268) Loss 2.5314 (2.6688) Prec@1 33.594 (35.447) Prec@5 66.797 (65.748) Epoch: [12][4320/5809] Time 0.125 (0.345) Data 0.052 (0.268) Loss 2.6877 (2.6687) Prec@1 32.031 (35.445) Prec@5 66.406 (65.748) Epoch: [12][4330/5809] Time 0.235 (0.345) Data 0.168 (0.268) Loss 2.6172 (2.6687) Prec@1 37.500 (35.445) Prec@5 67.188 (65.750) Epoch: [12][4340/5809] Time 0.268 (0.345) Data 0.208 (0.268) Loss 2.6163 (2.6686) Prec@1 38.672 (35.448) Prec@5 65.234 (65.751) Epoch: [12][4350/5809] Time 0.133 (0.345) Data 0.001 (0.268) Loss 2.5853 (2.6684) Prec@1 35.547 (35.451) Prec@5 67.578 (65.754) Epoch: [12][4360/5809] Time 0.256 (0.345) Data 0.195 (0.268) Loss 2.7741 (2.6686) Prec@1 35.547 (35.448) Prec@5 64.062 (65.753) Epoch: [12][4370/5809] Time 0.126 (0.345) Data 0.001 (0.268) Loss 2.7127 (2.6686) Prec@1 33.984 (35.450) Prec@5 67.578 (65.752) Epoch: [12][4380/5809] Time 0.349 (0.345) Data 0.289 (0.268) Loss 3.0842 (2.6688) Prec@1 28.906 (35.447) Prec@5 57.031 (65.749) Epoch: [12][4390/5809] Time 0.139 (0.345) Data 0.079 (0.268) Loss 2.6050 (2.6688) Prec@1 35.938 (35.449) Prec@5 67.578 (65.746) Epoch: [12][4400/5809] Time 0.792 (0.345) Data 0.732 (0.268) Loss 2.7449 (2.6688) Prec@1 35.938 (35.446) Prec@5 62.109 (65.746) Epoch: [12][4410/5809] Time 0.174 (0.345) Data 0.113 (0.268) Loss 2.6121 (2.6689) Prec@1 33.984 (35.444) Prec@5 67.188 (65.743) Epoch: [12][4420/5809] Time 0.866 (0.345) Data 0.807 (0.268) Loss 2.6192 (2.6690) Prec@1 37.891 (35.445) Prec@5 68.359 (65.742) Epoch: [12][4430/5809] Time 0.141 (0.345) Data 0.039 (0.268) Loss 2.8309 (2.6691) Prec@1 35.938 (35.445) Prec@5 62.500 (65.742) Epoch: [12][4440/5809] Time 1.001 (0.345) Data 0.935 (0.268) Loss 2.6947 (2.6691) Prec@1 35.156 (35.446) Prec@5 64.844 (65.741) Epoch: [12][4450/5809] Time 0.129 (0.345) Data 0.047 (0.268) Loss 2.6244 (2.6692) Prec@1 37.891 (35.447) Prec@5 64.453 (65.739) Epoch: [12][4460/5809] Time 0.981 (0.345) Data 0.914 (0.268) Loss 2.5922 (2.6692) Prec@1 34.766 (35.446) Prec@5 70.312 (65.737) Epoch: [12][4470/5809] Time 0.133 (0.345) Data 0.060 (0.268) Loss 2.7594 (2.6693) Prec@1 34.375 (35.442) Prec@5 62.109 (65.735) Epoch: [12][4480/5809] Time 0.803 (0.345) Data 0.744 (0.268) Loss 2.5669 (2.6693) Prec@1 41.797 (35.444) Prec@5 66.797 (65.734) Epoch: [12][4490/5809] Time 0.126 (0.345) Data 0.001 (0.268) Loss 2.7506 (2.6692) Prec@1 30.078 (35.442) Prec@5 64.844 (65.737) Epoch: [12][4500/5809] Time 0.705 (0.345) Data 0.645 (0.268) Loss 2.5730 (2.6692) Prec@1 37.500 (35.443) Prec@5 67.188 (65.738) Epoch: [12][4510/5809] Time 0.230 (0.345) Data 0.170 (0.268) Loss 2.9584 (2.6692) Prec@1 30.469 (35.442) Prec@5 60.156 (65.737) Epoch: [12][4520/5809] Time 0.462 (0.345) Data 0.403 (0.268) Loss 2.7405 (2.6693) Prec@1 34.375 (35.440) Prec@5 66.016 (65.736) Epoch: [12][4530/5809] Time 0.678 (0.345) Data 0.617 (0.268) Loss 2.6511 (2.6692) Prec@1 35.547 (35.444) Prec@5 69.531 (65.740) Epoch: [12][4540/5809] Time 0.135 (0.345) Data 0.001 (0.268) Loss 2.7100 (2.6692) Prec@1 31.641 (35.442) Prec@5 64.844 (65.739) Epoch: [12][4550/5809] Time 0.493 (0.345) Data 0.433 (0.268) Loss 2.6522 (2.6692) Prec@1 38.281 (35.441) Prec@5 66.406 (65.742) Epoch: [12][4560/5809] Time 0.134 (0.345) Data 0.001 (0.268) Loss 2.6663 (2.6693) Prec@1 37.500 (35.441) Prec@5 65.625 (65.741) Epoch: [12][4570/5809] Time 0.483 (0.345) Data 0.423 (0.268) Loss 2.8512 (2.6694) Prec@1 35.547 (35.440) Prec@5 63.672 (65.739) Epoch: [12][4580/5809] Time 0.146 (0.345) Data 0.087 (0.268) Loss 3.1372 (2.6695) Prec@1 26.562 (35.439) Prec@5 55.078 (65.738) Epoch: [12][4590/5809] Time 0.382 (0.344) Data 0.324 (0.268) Loss 2.7754 (2.6696) Prec@1 33.594 (35.440) Prec@5 63.672 (65.738) Epoch: [12][4600/5809] Time 0.277 (0.345) Data 0.218 (0.268) Loss 2.7013 (2.6696) Prec@1 32.422 (35.437) Prec@5 67.578 (65.739) Epoch: [12][4610/5809] Time 0.148 (0.344) Data 0.089 (0.268) Loss 2.7012 (2.6696) Prec@1 32.812 (35.439) Prec@5 63.672 (65.736) Epoch: [12][4620/5809] Time 0.404 (0.345) Data 0.338 (0.268) Loss 2.7113 (2.6695) Prec@1 35.938 (35.441) Prec@5 63.672 (65.737) Epoch: [12][4630/5809] Time 0.133 (0.344) Data 0.001 (0.268) Loss 2.8530 (2.6696) Prec@1 30.859 (35.440) Prec@5 64.844 (65.735) Epoch: [12][4640/5809] Time 0.250 (0.344) Data 0.189 (0.268) Loss 2.9438 (2.6696) Prec@1 34.375 (35.444) Prec@5 58.203 (65.736) Epoch: [12][4650/5809] Time 0.134 (0.344) Data 0.001 (0.268) Loss 2.6297 (2.6696) Prec@1 33.984 (35.443) Prec@5 62.891 (65.737) Epoch: [12][4660/5809] Time 0.141 (0.344) Data 0.080 (0.268) Loss 2.5541 (2.6695) Prec@1 38.281 (35.443) Prec@5 67.969 (65.738) Epoch: [12][4670/5809] Time 0.242 (0.344) Data 0.182 (0.268) Loss 2.5356 (2.6695) Prec@1 35.547 (35.442) Prec@5 66.406 (65.736) Epoch: [12][4680/5809] Time 0.133 (0.344) Data 0.008 (0.268) Loss 2.6260 (2.6696) Prec@1 39.453 (35.442) Prec@5 70.703 (65.734) Epoch: [12][4690/5809] Time 0.134 (0.344) Data 0.001 (0.268) Loss 2.7465 (2.6696) Prec@1 35.156 (35.443) Prec@5 65.234 (65.736) Epoch: [12][4700/5809] Time 0.364 (0.344) Data 0.304 (0.268) Loss 2.6665 (2.6696) Prec@1 38.281 (35.443) Prec@5 65.234 (65.734) Epoch: [12][4710/5809] Time 0.133 (0.344) Data 0.041 (0.268) Loss 2.7448 (2.6696) Prec@1 35.156 (35.442) Prec@5 65.234 (65.735) Epoch: [12][4720/5809] Time 0.421 (0.344) Data 0.362 (0.268) Loss 2.6528 (2.6696) Prec@1 33.594 (35.442) Prec@5 70.312 (65.735) Epoch: [12][4730/5809] Time 0.284 (0.344) Data 0.225 (0.268) Loss 2.3307 (2.6695) Prec@1 42.969 (35.446) Prec@5 73.047 (65.738) Epoch: [12][4740/5809] Time 0.516 (0.344) Data 0.457 (0.268) Loss 2.6622 (2.6694) Prec@1 37.109 (35.447) Prec@5 66.797 (65.740) Epoch: [12][4750/5809] Time 0.287 (0.344) Data 0.228 (0.268) Loss 2.7321 (2.6696) Prec@1 33.984 (35.446) Prec@5 64.453 (65.738) Epoch: [12][4760/5809] Time 0.259 (0.344) Data 0.199 (0.268) Loss 2.7816 (2.6696) Prec@1 35.547 (35.443) Prec@5 64.844 (65.738) Epoch: [12][4770/5809] Time 0.500 (0.344) Data 0.439 (0.268) Loss 2.6635 (2.6695) Prec@1 33.984 (35.445) Prec@5 67.188 (65.741) Epoch: [12][4780/5809] Time 0.134 (0.344) Data 0.001 (0.268) Loss 2.4225 (2.6694) Prec@1 40.625 (35.448) Prec@5 67.578 (65.741) Epoch: [12][4790/5809] Time 0.507 (0.344) Data 0.448 (0.268) Loss 2.6209 (2.6695) Prec@1 36.328 (35.445) Prec@5 65.625 (65.739) Epoch: [12][4800/5809] Time 0.356 (0.344) Data 0.296 (0.268) Loss 2.5573 (2.6696) Prec@1 39.844 (35.444) Prec@5 70.312 (65.738) Epoch: [12][4810/5809] Time 0.648 (0.344) Data 0.587 (0.268) Loss 2.7576 (2.6697) Prec@1 35.156 (35.442) Prec@5 62.109 (65.736) Epoch: [12][4820/5809] Time 0.321 (0.344) Data 0.262 (0.268) Loss 2.8998 (2.6697) Prec@1 35.547 (35.443) Prec@5 59.375 (65.736) Epoch: [12][4830/5809] Time 0.499 (0.344) Data 0.438 (0.268) Loss 2.7583 (2.6696) Prec@1 36.719 (35.442) Prec@5 62.500 (65.736) Epoch: [12][4840/5809] Time 0.552 (0.344) Data 0.483 (0.268) Loss 2.7595 (2.6696) Prec@1 33.594 (35.440) Prec@5 64.062 (65.737) Epoch: [12][4850/5809] Time 0.508 (0.344) Data 0.448 (0.268) Loss 2.5647 (2.6696) Prec@1 41.016 (35.443) Prec@5 67.969 (65.737) Epoch: [12][4860/5809] Time 0.484 (0.344) Data 0.425 (0.268) Loss 2.5488 (2.6694) Prec@1 41.406 (35.448) Prec@5 67.969 (65.743) Epoch: [12][4870/5809] Time 0.844 (0.344) Data 0.784 (0.268) Loss 2.5728 (2.6694) Prec@1 35.547 (35.448) Prec@5 67.969 (65.743) Epoch: [12][4880/5809] Time 0.277 (0.344) Data 0.216 (0.268) Loss 2.5219 (2.6693) Prec@1 35.547 (35.448) Prec@5 67.969 (65.745) Epoch: [12][4890/5809] Time 0.613 (0.344) Data 0.554 (0.268) Loss 2.7664 (2.6694) Prec@1 35.547 (35.442) Prec@5 64.844 (65.744) Epoch: [12][4900/5809] Time 0.149 (0.344) Data 0.081 (0.268) Loss 2.6962 (2.6694) Prec@1 33.203 (35.439) Prec@5 63.672 (65.742) Epoch: [12][4910/5809] Time 0.602 (0.344) Data 0.542 (0.268) Loss 2.6447 (2.6694) Prec@1 34.375 (35.440) Prec@5 66.406 (65.742) Epoch: [12][4920/5809] Time 0.295 (0.344) Data 0.235 (0.268) Loss 2.5974 (2.6693) Prec@1 35.156 (35.443) Prec@5 69.141 (65.744) Epoch: [12][4930/5809] Time 0.528 (0.344) Data 0.467 (0.268) Loss 2.4443 (2.6693) Prec@1 39.844 (35.445) Prec@5 67.969 (65.744) Epoch: [12][4940/5809] Time 0.133 (0.344) Data 0.001 (0.268) Loss 2.6184 (2.6693) Prec@1 35.547 (35.444) Prec@5 66.406 (65.744) Epoch: [12][4950/5809] Time 0.497 (0.344) Data 0.437 (0.268) Loss 2.6466 (2.6692) Prec@1 35.547 (35.446) Prec@5 63.672 (65.744) Epoch: [12][4960/5809] Time 0.256 (0.344) Data 0.196 (0.268) Loss 2.6720 (2.6692) Prec@1 39.844 (35.445) Prec@5 63.281 (65.743) Epoch: [12][4970/5809] Time 0.230 (0.344) Data 0.169 (0.268) Loss 2.6281 (2.6693) Prec@1 36.719 (35.443) Prec@5 66.406 (65.741) Epoch: [12][4980/5809] Time 0.554 (0.344) Data 0.494 (0.268) Loss 2.5180 (2.6693) Prec@1 36.328 (35.443) Prec@5 66.016 (65.742) Epoch: [12][4990/5809] Time 0.322 (0.344) Data 0.262 (0.268) Loss 2.7207 (2.6693) Prec@1 34.766 (35.445) Prec@5 63.281 (65.743) Epoch: [12][5000/5809] Time 0.594 (0.344) Data 0.527 (0.268) Loss 2.5743 (2.6692) Prec@1 38.281 (35.446) Prec@5 69.141 (65.746) Epoch: [12][5010/5809] Time 0.131 (0.344) Data 0.052 (0.268) Loss 2.9545 (2.6692) Prec@1 34.766 (35.448) Prec@5 60.547 (65.745) Epoch: [12][5020/5809] Time 0.813 (0.344) Data 0.745 (0.268) Loss 2.7661 (2.6692) Prec@1 33.594 (35.445) Prec@5 61.719 (65.744) Epoch: [12][5030/5809] Time 0.159 (0.344) Data 0.099 (0.268) Loss 2.7151 (2.6693) Prec@1 36.719 (35.443) Prec@5 65.234 (65.744) Epoch: [12][5040/5809] Time 0.539 (0.344) Data 0.478 (0.268) Loss 2.7003 (2.6694) Prec@1 35.156 (35.441) Prec@5 65.625 (65.743) Epoch: [12][5050/5809] Time 0.333 (0.344) Data 0.273 (0.268) Loss 2.7974 (2.6695) Prec@1 30.859 (35.439) Prec@5 62.891 (65.741) Epoch: [12][5060/5809] Time 0.610 (0.344) Data 0.551 (0.268) Loss 2.7787 (2.6696) Prec@1 37.500 (35.438) Prec@5 62.891 (65.740) Epoch: [12][5070/5809] Time 0.559 (0.344) Data 0.499 (0.268) Loss 2.7290 (2.6696) Prec@1 37.109 (35.437) Prec@5 66.406 (65.738) Epoch: [12][5080/5809] Time 0.195 (0.344) Data 0.135 (0.268) Loss 2.8493 (2.6697) Prec@1 30.078 (35.435) Prec@5 63.281 (65.738) Epoch: [12][5090/5809] Time 0.904 (0.344) Data 0.843 (0.268) Loss 2.6424 (2.6698) Prec@1 35.938 (35.434) Prec@5 63.672 (65.736) Epoch: [12][5100/5809] Time 0.131 (0.344) Data 0.052 (0.268) Loss 2.5008 (2.6698) Prec@1 36.719 (35.434) Prec@5 68.359 (65.736) Epoch: [12][5110/5809] Time 0.795 (0.344) Data 0.728 (0.268) Loss 2.8420 (2.6698) Prec@1 32.031 (35.431) Prec@5 61.328 (65.736) Epoch: [12][5120/5809] Time 0.133 (0.344) Data 0.040 (0.268) Loss 2.7768 (2.6699) Prec@1 36.719 (35.432) Prec@5 63.281 (65.734) Epoch: [12][5130/5809] Time 0.844 (0.344) Data 0.775 (0.268) Loss 2.6701 (2.6698) Prec@1 34.766 (35.434) Prec@5 62.891 (65.735) Epoch: [12][5140/5809] Time 0.134 (0.344) Data 0.001 (0.268) Loss 2.6826 (2.6698) Prec@1 29.297 (35.433) Prec@5 62.500 (65.734) Epoch: [12][5150/5809] Time 0.691 (0.344) Data 0.625 (0.268) Loss 2.6242 (2.6698) Prec@1 37.500 (35.434) Prec@5 64.062 (65.733) Epoch: [12][5160/5809] Time 0.135 (0.344) Data 0.001 (0.268) Loss 2.7975 (2.6701) Prec@1 31.250 (35.429) Prec@5 59.375 (65.728) Epoch: [12][5170/5809] Time 0.766 (0.344) Data 0.698 (0.268) Loss 2.7355 (2.6702) Prec@1 33.984 (35.425) Prec@5 65.234 (65.727) Epoch: [12][5180/5809] Time 0.146 (0.344) Data 0.085 (0.268) Loss 2.7766 (2.6702) Prec@1 35.547 (35.428) Prec@5 66.406 (65.725) Epoch: [12][5190/5809] Time 1.030 (0.344) Data 0.970 (0.268) Loss 2.7450 (2.6703) Prec@1 32.031 (35.426) Prec@5 67.188 (65.722) Epoch: [12][5200/5809] Time 0.133 (0.344) Data 0.001 (0.268) Loss 2.5145 (2.6703) Prec@1 38.281 (35.426) Prec@5 70.312 (65.723) Epoch: [12][5210/5809] Time 0.925 (0.344) Data 0.866 (0.268) Loss 2.5335 (2.6701) Prec@1 41.797 (35.430) Prec@5 68.359 (65.728) Epoch: [12][5220/5809] Time 0.135 (0.344) Data 0.001 (0.268) Loss 2.7485 (2.6701) Prec@1 32.031 (35.429) Prec@5 65.625 (65.727) Epoch: [12][5230/5809] Time 0.968 (0.344) Data 0.907 (0.268) Loss 2.8356 (2.6701) Prec@1 33.594 (35.428) Prec@5 60.547 (65.724) Epoch: [12][5240/5809] Time 0.158 (0.344) Data 0.093 (0.268) Loss 2.6693 (2.6702) Prec@1 34.766 (35.427) Prec@5 63.672 (65.723) Epoch: [12][5250/5809] Time 0.964 (0.344) Data 0.895 (0.268) Loss 2.7851 (2.6701) Prec@1 32.031 (35.427) Prec@5 62.500 (65.723) Epoch: [12][5260/5809] Time 0.134 (0.344) Data 0.001 (0.268) Loss 2.6874 (2.6703) Prec@1 35.156 (35.424) Prec@5 65.234 (65.722) Epoch: [12][5270/5809] Time 0.895 (0.344) Data 0.835 (0.268) Loss 2.6439 (2.6702) Prec@1 31.641 (35.424) Prec@5 67.578 (65.721) Epoch: [12][5280/5809] Time 0.133 (0.344) Data 0.053 (0.268) Loss 2.8323 (2.6703) Prec@1 33.594 (35.420) Prec@5 64.453 (65.719) Epoch: [12][5290/5809] Time 0.973 (0.344) Data 0.913 (0.268) Loss 2.6358 (2.6703) Prec@1 41.016 (35.420) Prec@5 69.922 (65.720) Epoch: [12][5300/5809] Time 0.135 (0.344) Data 0.001 (0.267) Loss 2.6581 (2.6702) Prec@1 33.984 (35.420) Prec@5 67.188 (65.722) Epoch: [12][5310/5809] Time 0.855 (0.344) Data 0.786 (0.268) Loss 2.5966 (2.6701) Prec@1 37.500 (35.424) Prec@5 64.844 (65.726) Epoch: [12][5320/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.7538 (2.6702) Prec@1 34.375 (35.423) Prec@5 64.844 (65.724) Epoch: [12][5330/5809] Time 0.912 (0.344) Data 0.845 (0.267) Loss 2.7161 (2.6702) Prec@1 33.203 (35.422) Prec@5 66.797 (65.725) Epoch: [12][5340/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.7212 (2.6702) Prec@1 31.641 (35.422) Prec@5 64.844 (65.725) Epoch: [12][5350/5809] Time 0.962 (0.344) Data 0.903 (0.267) Loss 2.8126 (2.6702) Prec@1 32.422 (35.421) Prec@5 62.891 (65.726) Epoch: [12][5360/5809] Time 0.141 (0.344) Data 0.001 (0.267) Loss 2.8362 (2.6703) Prec@1 32.812 (35.419) Prec@5 60.156 (65.725) Epoch: [12][5370/5809] Time 0.941 (0.344) Data 0.880 (0.267) Loss 2.5468 (2.6703) Prec@1 38.281 (35.418) Prec@5 69.141 (65.724) Epoch: [12][5380/5809] Time 0.139 (0.344) Data 0.001 (0.267) Loss 2.4622 (2.6703) Prec@1 41.016 (35.416) Prec@5 71.094 (65.724) Epoch: [12][5390/5809] Time 0.815 (0.344) Data 0.747 (0.267) Loss 2.5052 (2.6704) Prec@1 36.328 (35.414) Prec@5 70.703 (65.724) Epoch: [12][5400/5809] Time 0.128 (0.344) Data 0.045 (0.267) Loss 2.7556 (2.6703) Prec@1 41.016 (35.419) Prec@5 63.672 (65.725) Epoch: [12][5410/5809] Time 0.926 (0.344) Data 0.867 (0.267) Loss 2.5522 (2.6703) Prec@1 37.500 (35.419) Prec@5 67.969 (65.725) Epoch: [12][5420/5809] Time 0.276 (0.344) Data 0.216 (0.267) Loss 2.6521 (2.6703) Prec@1 34.766 (35.421) Prec@5 66.406 (65.726) Epoch: [12][5430/5809] Time 0.576 (0.344) Data 0.516 (0.267) Loss 2.5388 (2.6702) Prec@1 39.844 (35.424) Prec@5 67.578 (65.728) Epoch: [12][5440/5809] Time 0.501 (0.344) Data 0.442 (0.267) Loss 2.6092 (2.6701) Prec@1 36.328 (35.427) Prec@5 64.453 (65.729) Epoch: [12][5450/5809] Time 0.290 (0.344) Data 0.231 (0.267) Loss 2.6582 (2.6701) Prec@1 34.375 (35.428) Prec@5 63.281 (65.728) Epoch: [12][5460/5809] Time 0.499 (0.344) Data 0.439 (0.267) Loss 2.7574 (2.6700) Prec@1 29.688 (35.429) Prec@5 65.625 (65.730) Epoch: [12][5470/5809] Time 0.326 (0.344) Data 0.265 (0.267) Loss 2.5376 (2.6700) Prec@1 38.281 (35.428) Prec@5 70.312 (65.731) Epoch: [12][5480/5809] Time 0.929 (0.344) Data 0.868 (0.267) Loss 2.7902 (2.6700) Prec@1 37.109 (35.428) Prec@5 63.672 (65.731) Epoch: [12][5490/5809] Time 0.134 (0.344) Data 0.058 (0.267) Loss 2.7386 (2.6700) Prec@1 32.422 (35.430) Prec@5 66.406 (65.734) Epoch: [12][5500/5809] Time 0.840 (0.344) Data 0.772 (0.267) Loss 2.8799 (2.6700) Prec@1 29.688 (35.428) Prec@5 60.156 (65.733) Epoch: [12][5510/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.4965 (2.6699) Prec@1 34.375 (35.429) Prec@5 69.922 (65.735) Epoch: [12][5520/5809] Time 1.017 (0.344) Data 0.958 (0.267) Loss 2.7344 (2.6699) Prec@1 38.281 (35.431) Prec@5 61.328 (65.734) Epoch: [12][5530/5809] Time 0.141 (0.344) Data 0.001 (0.267) Loss 2.5831 (2.6697) Prec@1 34.375 (35.432) Prec@5 66.406 (65.736) Epoch: [12][5540/5809] Time 0.804 (0.344) Data 0.745 (0.267) Loss 2.6632 (2.6696) Prec@1 33.203 (35.431) Prec@5 67.969 (65.738) Epoch: [12][5550/5809] Time 0.219 (0.344) Data 0.159 (0.267) Loss 2.7837 (2.6697) Prec@1 32.812 (35.432) Prec@5 63.672 (65.738) Epoch: [12][5560/5809] Time 0.643 (0.344) Data 0.584 (0.267) Loss 2.9150 (2.6697) Prec@1 30.469 (35.432) Prec@5 61.719 (65.738) Epoch: [12][5570/5809] Time 0.132 (0.344) Data 0.001 (0.267) Loss 2.8889 (2.6697) Prec@1 31.641 (35.429) Prec@5 60.156 (65.739) Epoch: [12][5580/5809] Time 0.982 (0.344) Data 0.917 (0.267) Loss 2.6893 (2.6697) Prec@1 31.641 (35.430) Prec@5 65.234 (65.741) Epoch: [12][5590/5809] Time 0.141 (0.344) Data 0.001 (0.267) Loss 2.5790 (2.6698) Prec@1 37.109 (35.429) Prec@5 67.969 (65.741) Epoch: [12][5600/5809] Time 0.962 (0.344) Data 0.903 (0.267) Loss 2.8936 (2.6698) Prec@1 32.031 (35.427) Prec@5 57.812 (65.741) Epoch: [12][5610/5809] Time 0.130 (0.344) Data 0.043 (0.267) Loss 2.7578 (2.6699) Prec@1 32.812 (35.424) Prec@5 62.109 (65.738) Epoch: [12][5620/5809] Time 0.993 (0.344) Data 0.933 (0.267) Loss 2.5931 (2.6701) Prec@1 34.766 (35.419) Prec@5 66.406 (65.735) Epoch: [12][5630/5809] Time 0.138 (0.344) Data 0.001 (0.267) Loss 2.6867 (2.6701) Prec@1 35.938 (35.417) Prec@5 63.281 (65.733) Epoch: [12][5640/5809] Time 0.863 (0.344) Data 0.795 (0.267) Loss 2.6739 (2.6701) Prec@1 37.891 (35.416) Prec@5 69.922 (65.734) Epoch: [12][5650/5809] Time 0.134 (0.344) Data 0.052 (0.267) Loss 2.6128 (2.6701) Prec@1 37.109 (35.417) Prec@5 64.062 (65.733) Epoch: [12][5660/5809] Time 0.901 (0.344) Data 0.834 (0.267) Loss 2.7458 (2.6700) Prec@1 32.422 (35.418) Prec@5 64.453 (65.736) Epoch: [12][5670/5809] Time 0.132 (0.344) Data 0.045 (0.267) Loss 2.5019 (2.6699) Prec@1 39.453 (35.418) Prec@5 70.703 (65.738) Epoch: [12][5680/5809] Time 1.022 (0.344) Data 0.963 (0.267) Loss 2.4335 (2.6699) Prec@1 43.359 (35.418) Prec@5 67.578 (65.738) Epoch: [12][5690/5809] Time 0.143 (0.344) Data 0.001 (0.267) Loss 2.6214 (2.6700) Prec@1 37.500 (35.416) Prec@5 67.969 (65.735) Epoch: [12][5700/5809] Time 0.862 (0.344) Data 0.801 (0.267) Loss 2.4497 (2.6700) Prec@1 40.234 (35.415) Prec@5 69.922 (65.735) Epoch: [12][5710/5809] Time 0.160 (0.344) Data 0.100 (0.267) Loss 2.7616 (2.6701) Prec@1 31.250 (35.415) Prec@5 64.453 (65.735) Epoch: [12][5720/5809] Time 0.893 (0.344) Data 0.826 (0.267) Loss 2.5734 (2.6701) Prec@1 33.594 (35.412) Prec@5 70.703 (65.735) Epoch: [12][5730/5809] Time 0.212 (0.344) Data 0.153 (0.266) Loss 2.6180 (2.6701) Prec@1 35.547 (35.413) Prec@5 63.672 (65.734) Epoch: [12][5740/5809] Time 0.846 (0.344) Data 0.780 (0.267) Loss 2.6089 (2.6701) Prec@1 37.109 (35.413) Prec@5 64.844 (65.732) Epoch: [12][5750/5809] Time 0.135 (0.344) Data 0.014 (0.266) Loss 2.4711 (2.6702) Prec@1 38.672 (35.413) Prec@5 67.969 (65.730) Epoch: [12][5760/5809] Time 0.736 (0.344) Data 0.676 (0.267) Loss 2.5087 (2.6700) Prec@1 39.062 (35.415) Prec@5 66.406 (65.734) Epoch: [12][5770/5809] Time 0.133 (0.344) Data 0.060 (0.266) Loss 2.5895 (2.6700) Prec@1 34.766 (35.414) Prec@5 70.312 (65.734) Epoch: [12][5780/5809] Time 0.408 (0.344) Data 0.348 (0.267) Loss 2.7292 (2.6700) Prec@1 34.766 (35.413) Prec@5 62.891 (65.733) Epoch: [12][5790/5809] Time 0.369 (0.344) Data 0.311 (0.267) Loss 2.6295 (2.6698) Prec@1 40.625 (35.414) Prec@5 66.016 (65.734) Epoch: [12][5800/5809] Time 0.124 (0.344) Data 0.019 (0.267) Loss 2.6268 (2.6698) Prec@1 32.422 (35.415) Prec@5 69.922 (65.735) Test: [0/143] Time 1.506 (1.506) Loss 1.6430 (1.6430) Prec@1 58.984 (58.984) Prec@5 86.328 (86.328) Test: [10/143] Time 0.055 (0.353) Loss 10.6768 (9.1470) Prec@1 0.000 (7.315) Prec@5 0.000 (14.276) Test: [20/143] Time 1.001 (0.346) Loss 11.2841 (10.0386) Prec@1 0.000 (3.869) Prec@5 0.781 (8.166) Test: [30/143] Time 0.056 (0.313) Loss 12.4744 (10.5996) Prec@1 0.000 (2.646) Prec@5 0.000 (5.809) Test: [40/143] Time 0.731 (0.310) Loss 11.1101 (10.7055) Prec@1 0.781 (2.087) Prec@5 1.172 (4.649) Test: [50/143] Time 0.124 (0.297) Loss 9.6811 (10.6761) Prec@1 0.000 (1.769) Prec@5 0.391 (4.733) Test: [60/143] Time 0.376 (0.296) Loss 12.3367 (10.8248) Prec@1 0.000 (1.492) Prec@5 0.391 (4.028) Test: [70/143] Time 0.157 (0.290) Loss 9.1250 (10.8927) Prec@1 0.000 (1.304) Prec@5 1.562 (3.593) Test: [80/143] Time 0.069 (0.292) Loss 8.7977 (10.8641) Prec@1 0.000 (1.191) Prec@5 1.562 (3.376) Test: [90/143] Time 0.055 (0.286) Loss 8.4468 (10.7512) Prec@1 1.172 (1.103) Prec@5 3.516 (3.262) Test: [100/143] Time 0.107 (0.289) Loss 10.3883 (10.7148) Prec@1 0.391 (1.009) Prec@5 1.172 (3.071) Test: [110/143] Time 0.111 (0.283) Loss 12.4656 (10.6888) Prec@1 0.000 (0.943) Prec@5 0.000 (2.924) Test: [120/143] Time 0.161 (0.285) Loss 13.9240 (10.7586) Prec@1 0.000 (0.885) Prec@5 0.000 (2.747) Test: [130/143] Time 0.148 (0.281) Loss 14.4444 (11.1141) Prec@1 0.000 (0.817) Prec@5 0.000 (2.538) Test: [140/143] Time 0.055 (0.282) Loss 16.2284 (11.4171) Prec@1 0.000 (0.759) Prec@5 0.000 (2.358) * Prec@1 0.751 Prec@5 2.332 Epoch: [13][0/5809] Time 2.239 (2.239) Data 2.170 (2.170) Loss 2.4774 (2.4774) Prec@1 41.406 (41.406) Prec@5 66.797 (66.797) Epoch: [13][10/5809] Time 0.133 (0.489) Data 0.001 (0.390) Loss 2.4606 (2.5974) Prec@1 37.891 (37.287) Prec@5 71.875 (67.507) Epoch: [13][20/5809] Time 0.987 (0.431) Data 0.926 (0.333) Loss 2.5091 (2.6179) Prec@1 36.328 (36.719) Prec@5 68.359 (66.871) Epoch: [13][30/5809] Time 0.161 (0.390) Data 0.102 (0.295) Loss 2.6541 (2.6128) Prec@1 34.375 (36.769) Prec@5 66.797 (67.011) Epoch: [13][40/5809] Time 1.005 (0.386) Data 0.938 (0.294) Loss 2.6086 (2.6191) Prec@1 35.938 (36.604) Prec@5 69.531 (66.902) Epoch: [13][50/5809] Time 0.154 (0.374) Data 0.094 (0.282) Loss 2.6789 (2.6267) Prec@1 34.766 (36.512) Prec@5 66.797 (66.736) Epoch: [13][60/5809] Time 0.962 (0.374) Data 0.895 (0.282) Loss 2.5539 (2.6219) Prec@1 37.891 (36.584) Prec@5 68.750 (66.720) Epoch: [13][70/5809] Time 0.253 (0.364) Data 0.194 (0.275) Loss 2.8040 (2.6317) Prec@1 34.375 (36.378) Prec@5 63.672 (66.555) Epoch: [13][80/5809] Time 0.757 (0.366) Data 0.689 (0.275) Loss 2.8260 (2.6412) Prec@1 31.641 (36.222) Prec@5 62.500 (66.363) Epoch: [13][90/5809] Time 0.545 (0.362) Data 0.484 (0.273) Loss 2.7405 (2.6485) Prec@1 35.156 (36.186) Prec@5 63.672 (66.355) Epoch: [13][100/5809] Time 0.526 (0.360) Data 0.466 (0.274) Loss 2.6484 (2.6508) Prec@1 36.719 (36.092) Prec@5 64.844 (66.344) Epoch: [13][110/5809] Time 0.145 (0.359) Data 0.085 (0.274) Loss 2.8127 (2.6496) Prec@1 32.422 (36.011) Prec@5 63.672 (66.322) Epoch: [13][120/5809] Time 0.298 (0.356) Data 0.238 (0.271) Loss 2.8295 (2.6519) Prec@1 31.250 (35.979) Prec@5 62.109 (66.238) Epoch: [13][130/5809] Time 0.138 (0.356) Data 0.001 (0.271) Loss 2.5873 (2.6530) Prec@1 41.406 (36.024) Prec@5 65.234 (66.162) Epoch: [13][140/5809] Time 0.364 (0.354) Data 0.305 (0.268) Loss 2.7073 (2.6528) Prec@1 33.984 (35.979) Prec@5 64.844 (66.207) Epoch: [13][150/5809] Time 0.157 (0.354) Data 0.097 (0.268) Loss 2.6396 (2.6540) Prec@1 36.719 (35.956) Prec@5 64.453 (66.254) Epoch: [13][160/5809] Time 0.556 (0.353) Data 0.497 (0.267) Loss 2.4478 (2.6572) Prec@1 40.234 (35.899) Prec@5 71.094 (66.154) Epoch: [13][170/5809] Time 0.132 (0.353) Data 0.001 (0.267) Loss 2.5373 (2.6535) Prec@1 38.672 (36.013) Prec@5 66.406 (66.208) Epoch: [13][180/5809] Time 0.451 (0.352) Data 0.391 (0.265) Loss 2.7837 (2.6545) Prec@1 32.422 (36.039) Prec@5 64.844 (66.188) Epoch: [13][190/5809] Time 0.163 (0.351) Data 0.103 (0.265) Loss 2.7273 (2.6532) Prec@1 37.500 (36.103) Prec@5 64.453 (66.183) Epoch: [13][200/5809] Time 0.557 (0.351) Data 0.497 (0.265) Loss 2.8395 (2.6506) Prec@1 31.641 (36.171) Prec@5 63.672 (66.224) Epoch: [13][210/5809] Time 0.128 (0.350) Data 0.050 (0.265) Loss 2.3902 (2.6480) Prec@1 42.578 (36.206) Prec@5 70.703 (66.286) Epoch: [13][220/5809] Time 0.460 (0.350) Data 0.400 (0.266) Loss 2.4364 (2.6482) Prec@1 40.234 (36.151) Prec@5 70.703 (66.311) Epoch: [13][230/5809] Time 0.177 (0.349) Data 0.118 (0.266) Loss 2.5870 (2.6486) Prec@1 37.109 (36.103) Prec@5 67.969 (66.281) Epoch: [13][240/5809] Time 0.500 (0.350) Data 0.440 (0.267) Loss 2.4497 (2.6449) Prec@1 36.719 (36.164) Prec@5 72.266 (66.327) Epoch: [13][250/5809] Time 0.133 (0.348) Data 0.001 (0.266) Loss 2.8603 (2.6446) Prec@1 30.469 (36.152) Prec@5 62.109 (66.336) Epoch: [13][260/5809] Time 0.326 (0.348) Data 0.267 (0.267) Loss 2.5026 (2.6455) Prec@1 35.547 (36.169) Prec@5 70.703 (66.358) Epoch: [13][270/5809] Time 0.181 (0.348) Data 0.121 (0.266) Loss 2.6966 (2.6425) Prec@1 34.766 (36.219) Prec@5 64.453 (66.413) Epoch: [13][280/5809] Time 0.310 (0.348) Data 0.251 (0.268) Loss 2.6530 (2.6434) Prec@1 37.891 (36.196) Prec@5 64.844 (66.406) Epoch: [13][290/5809] Time 0.133 (0.347) Data 0.001 (0.267) Loss 2.5220 (2.6423) Prec@1 36.328 (36.197) Prec@5 73.047 (66.409) Epoch: [13][300/5809] Time 0.636 (0.348) Data 0.569 (0.268) Loss 2.5268 (2.6421) Prec@1 39.453 (36.163) Prec@5 66.406 (66.405) Epoch: [13][310/5809] Time 0.140 (0.347) Data 0.079 (0.267) Loss 2.5983 (2.6411) Prec@1 35.938 (36.191) Prec@5 67.969 (66.438) Epoch: [13][320/5809] Time 0.575 (0.348) Data 0.514 (0.268) Loss 2.5938 (2.6401) Prec@1 34.766 (36.189) Prec@5 67.969 (66.443) Epoch: [13][330/5809] Time 0.128 (0.346) Data 0.049 (0.266) Loss 2.8360 (2.6394) Prec@1 29.688 (36.142) Prec@5 60.547 (66.443) Epoch: [13][340/5809] Time 0.660 (0.347) Data 0.601 (0.267) Loss 2.7409 (2.6398) Prec@1 33.984 (36.116) Prec@5 64.453 (66.419) Epoch: [13][350/5809] Time 0.127 (0.346) Data 0.053 (0.265) Loss 2.5771 (2.6405) Prec@1 35.547 (36.103) Prec@5 70.312 (66.402) Epoch: [13][360/5809] Time 0.599 (0.347) Data 0.531 (0.266) Loss 2.6125 (2.6424) Prec@1 34.375 (36.075) Prec@5 66.797 (66.364) Epoch: [13][370/5809] Time 0.134 (0.345) Data 0.001 (0.265) Loss 2.7624 (2.6416) Prec@1 33.984 (36.063) Prec@5 66.797 (66.397) Epoch: [13][380/5809] Time 0.572 (0.346) Data 0.511 (0.266) Loss 2.5851 (2.6409) Prec@1 35.156 (36.066) Prec@5 68.750 (66.398) Epoch: [13][390/5809] Time 0.134 (0.346) Data 0.001 (0.266) Loss 2.6242 (2.6424) Prec@1 34.375 (36.029) Prec@5 66.406 (66.349) Epoch: [13][400/5809] Time 0.489 (0.346) Data 0.429 (0.266) Loss 2.6599 (2.6435) Prec@1 32.422 (35.986) Prec@5 67.969 (66.328) Epoch: [13][410/5809] Time 0.134 (0.345) Data 0.052 (0.266) Loss 2.5739 (2.6433) Prec@1 39.844 (36.018) Prec@5 67.188 (66.325) Epoch: [13][420/5809] Time 0.668 (0.346) Data 0.608 (0.267) Loss 2.5099 (2.6429) Prec@1 37.109 (36.040) Prec@5 70.703 (66.349) Epoch: [13][430/5809] Time 0.134 (0.345) Data 0.001 (0.266) Loss 2.6207 (2.6427) Prec@1 32.812 (36.025) Prec@5 67.188 (66.340) Epoch: [13][440/5809] Time 0.530 (0.346) Data 0.470 (0.266) Loss 2.4468 (2.6425) Prec@1 39.062 (36.039) Prec@5 67.188 (66.321) Epoch: [13][450/5809] Time 0.135 (0.345) Data 0.001 (0.266) Loss 2.5863 (2.6422) Prec@1 36.328 (36.061) Prec@5 66.406 (66.318) Epoch: [13][460/5809] Time 0.848 (0.346) Data 0.787 (0.267) Loss 2.5849 (2.6413) Prec@1 39.453 (36.096) Prec@5 70.312 (66.355) Epoch: [13][470/5809] Time 0.162 (0.345) Data 0.102 (0.266) Loss 2.6822 (2.6420) Prec@1 39.062 (36.102) Prec@5 63.281 (66.329) Epoch: [13][480/5809] Time 0.563 (0.345) Data 0.504 (0.266) Loss 2.5323 (2.6416) Prec@1 39.453 (36.115) Prec@5 69.922 (66.349) Epoch: [13][490/5809] Time 0.132 (0.345) Data 0.001 (0.266) Loss 2.8598 (2.6419) Prec@1 33.594 (36.115) Prec@5 60.547 (66.335) Epoch: [13][500/5809] Time 0.917 (0.346) Data 0.848 (0.267) Loss 2.6816 (2.6406) Prec@1 36.719 (36.128) Prec@5 62.891 (66.376) Epoch: [13][510/5809] Time 0.131 (0.345) Data 0.052 (0.266) Loss 2.6636 (2.6412) Prec@1 39.062 (36.116) Prec@5 63.672 (66.363) Epoch: [13][520/5809] Time 0.848 (0.346) Data 0.780 (0.266) Loss 2.5560 (2.6425) Prec@1 37.891 (36.105) Prec@5 68.359 (66.330) Epoch: [13][530/5809] Time 0.136 (0.345) Data 0.074 (0.265) Loss 2.6730 (2.6412) Prec@1 36.328 (36.127) Prec@5 63.672 (66.367) Epoch: [13][540/5809] Time 0.837 (0.346) Data 0.777 (0.266) Loss 2.5763 (2.6413) Prec@1 34.375 (36.117) Prec@5 64.844 (66.362) Epoch: [13][550/5809] Time 0.197 (0.345) Data 0.130 (0.265) Loss 2.6368 (2.6417) Prec@1 37.500 (36.120) Prec@5 67.578 (66.351) Epoch: [13][560/5809] Time 0.794 (0.345) Data 0.733 (0.266) Loss 2.6247 (2.6414) Prec@1 31.641 (36.109) Prec@5 67.188 (66.355) Epoch: [13][570/5809] Time 0.134 (0.345) Data 0.001 (0.265) Loss 2.5029 (2.6413) Prec@1 41.406 (36.111) Prec@5 69.531 (66.350) Epoch: [13][580/5809] Time 0.528 (0.345) Data 0.468 (0.266) Loss 2.6340 (2.6406) Prec@1 39.844 (36.130) Prec@5 64.844 (66.359) Epoch: [13][590/5809] Time 0.274 (0.345) Data 0.213 (0.266) Loss 2.5262 (2.6409) Prec@1 37.500 (36.117) Prec@5 70.312 (66.369) Epoch: [13][600/5809] Time 0.427 (0.345) Data 0.368 (0.266) Loss 2.5668 (2.6401) Prec@1 39.453 (36.129) Prec@5 70.312 (66.392) Epoch: [13][610/5809] Time 0.454 (0.345) Data 0.388 (0.267) Loss 2.6249 (2.6402) Prec@1 35.547 (36.128) Prec@5 65.234 (66.397) Epoch: [13][620/5809] Time 0.335 (0.345) Data 0.276 (0.267) Loss 2.6391 (2.6404) Prec@1 31.641 (36.096) Prec@5 64.844 (66.385) Epoch: [13][630/5809] Time 0.306 (0.345) Data 0.246 (0.267) Loss 2.4819 (2.6406) Prec@1 41.406 (36.092) Prec@5 70.312 (66.384) Epoch: [13][640/5809] Time 0.132 (0.345) Data 0.004 (0.267) Loss 2.6316 (2.6406) Prec@1 35.156 (36.087) Prec@5 66.406 (66.379) Epoch: [13][650/5809] Time 0.561 (0.345) Data 0.502 (0.267) Loss 2.4822 (2.6407) Prec@1 38.281 (36.094) Prec@5 69.922 (66.382) Epoch: [13][660/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.6915 (2.6406) Prec@1 37.500 (36.102) Prec@5 65.625 (66.390) Epoch: [13][670/5809] Time 0.256 (0.345) Data 0.195 (0.267) Loss 2.8528 (2.6406) Prec@1 37.109 (36.118) Prec@5 64.844 (66.393) Epoch: [13][680/5809] Time 0.130 (0.344) Data 0.053 (0.267) Loss 2.8576 (2.6409) Prec@1 30.859 (36.109) Prec@5 63.281 (66.377) Epoch: [13][690/5809] Time 0.320 (0.345) Data 0.259 (0.267) Loss 2.5073 (2.6408) Prec@1 39.844 (36.107) Prec@5 71.484 (66.402) Epoch: [13][700/5809] Time 0.132 (0.344) Data 0.053 (0.266) Loss 2.4097 (2.6398) Prec@1 43.359 (36.126) Prec@5 69.141 (66.412) Epoch: [13][710/5809] Time 0.306 (0.345) Data 0.239 (0.267) Loss 2.4627 (2.6399) Prec@1 42.188 (36.130) Prec@5 67.969 (66.419) Epoch: [13][720/5809] Time 0.135 (0.344) Data 0.001 (0.266) Loss 2.6733 (2.6398) Prec@1 37.500 (36.115) Prec@5 63.672 (66.404) Epoch: [13][730/5809] Time 0.470 (0.345) Data 0.405 (0.267) Loss 2.8192 (2.6396) Prec@1 35.156 (36.114) Prec@5 61.719 (66.416) Epoch: [13][740/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.6100 (2.6405) Prec@1 39.844 (36.101) Prec@5 66.406 (66.404) Epoch: [13][750/5809] Time 0.262 (0.344) Data 0.202 (0.267) Loss 2.6193 (2.6406) Prec@1 38.672 (36.102) Prec@5 66.797 (66.411) Epoch: [13][760/5809] Time 0.133 (0.344) Data 0.052 (0.266) Loss 2.4930 (2.6404) Prec@1 39.062 (36.102) Prec@5 70.312 (66.421) Epoch: [13][770/5809] Time 0.160 (0.344) Data 0.100 (0.267) Loss 2.6457 (2.6398) Prec@1 33.984 (36.097) Prec@5 65.234 (66.429) Epoch: [13][780/5809] Time 0.444 (0.344) Data 0.384 (0.267) Loss 2.5401 (2.6393) Prec@1 38.281 (36.106) Prec@5 70.703 (66.440) Epoch: [13][790/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.5666 (2.6398) Prec@1 34.766 (36.096) Prec@5 70.312 (66.437) Epoch: [13][800/5809] Time 0.131 (0.344) Data 0.007 (0.267) Loss 2.7014 (2.6400) Prec@1 32.422 (36.106) Prec@5 65.234 (66.428) Epoch: [13][810/5809] Time 0.463 (0.344) Data 0.403 (0.268) Loss 2.5973 (2.6399) Prec@1 34.375 (36.101) Prec@5 65.625 (66.438) Epoch: [13][820/5809] Time 0.143 (0.344) Data 0.082 (0.267) Loss 2.5704 (2.6402) Prec@1 36.719 (36.094) Prec@5 64.062 (66.433) Epoch: [13][830/5809] Time 0.176 (0.344) Data 0.117 (0.268) Loss 2.5616 (2.6399) Prec@1 36.328 (36.110) Prec@5 71.094 (66.448) Epoch: [13][840/5809] Time 0.134 (0.344) Data 0.053 (0.267) Loss 2.5933 (2.6393) Prec@1 39.453 (36.121) Prec@5 65.625 (66.457) Epoch: [13][850/5809] Time 0.140 (0.344) Data 0.001 (0.268) Loss 2.6422 (2.6405) Prec@1 36.719 (36.087) Prec@5 66.406 (66.436) Epoch: [13][860/5809] Time 0.562 (0.344) Data 0.502 (0.267) Loss 2.7879 (2.6402) Prec@1 31.250 (36.100) Prec@5 63.672 (66.439) Epoch: [13][870/5809] Time 0.265 (0.344) Data 0.204 (0.267) Loss 2.7298 (2.6405) Prec@1 32.031 (36.097) Prec@5 60.938 (66.439) Epoch: [13][880/5809] Time 0.614 (0.344) Data 0.556 (0.267) Loss 2.6295 (2.6402) Prec@1 36.328 (36.098) Prec@5 67.578 (66.451) Epoch: [13][890/5809] Time 0.125 (0.344) Data 0.055 (0.267) Loss 2.5657 (2.6407) Prec@1 36.719 (36.102) Prec@5 64.453 (66.426) Epoch: [13][900/5809] Time 0.641 (0.344) Data 0.582 (0.267) Loss 2.6689 (2.6404) Prec@1 36.328 (36.104) Prec@5 67.578 (66.432) Epoch: [13][910/5809] Time 0.127 (0.344) Data 0.044 (0.267) Loss 2.7367 (2.6414) Prec@1 37.891 (36.092) Prec@5 65.625 (66.419) Epoch: [13][920/5809] Time 0.664 (0.344) Data 0.604 (0.267) Loss 2.6597 (2.6414) Prec@1 33.984 (36.088) Prec@5 66.797 (66.416) Epoch: [13][930/5809] Time 0.134 (0.344) Data 0.012 (0.267) Loss 2.6548 (2.6416) Prec@1 36.328 (36.093) Prec@5 66.016 (66.405) Epoch: [13][940/5809] Time 0.349 (0.344) Data 0.287 (0.267) Loss 2.7582 (2.6409) Prec@1 30.078 (36.103) Prec@5 65.234 (66.410) Epoch: [13][950/5809] Time 0.134 (0.344) Data 0.042 (0.267) Loss 2.8980 (2.6418) Prec@1 31.250 (36.092) Prec@5 60.938 (66.399) Epoch: [13][960/5809] Time 0.618 (0.344) Data 0.559 (0.267) Loss 2.8836 (2.6423) Prec@1 32.812 (36.083) Prec@5 62.109 (66.388) Epoch: [13][970/5809] Time 0.130 (0.344) Data 0.040 (0.267) Loss 2.6622 (2.6421) Prec@1 35.156 (36.085) Prec@5 65.625 (66.393) Epoch: [13][980/5809] Time 0.468 (0.344) Data 0.408 (0.268) Loss 2.3607 (2.6418) Prec@1 40.234 (36.083) Prec@5 70.312 (66.399) Epoch: [13][990/5809] Time 0.132 (0.344) Data 0.049 (0.267) Loss 2.4337 (2.6412) Prec@1 41.797 (36.094) Prec@5 70.312 (66.406) Epoch: [13][1000/5809] Time 0.369 (0.344) Data 0.308 (0.268) Loss 2.6664 (2.6415) Prec@1 33.984 (36.093) Prec@5 66.016 (66.389) Epoch: [13][1010/5809] Time 0.247 (0.344) Data 0.187 (0.268) Loss 2.9561 (2.6417) Prec@1 28.516 (36.086) Prec@5 62.109 (66.383) Epoch: [13][1020/5809] Time 0.412 (0.344) Data 0.352 (0.268) Loss 2.7469 (2.6419) Prec@1 33.203 (36.076) Prec@5 63.672 (66.378) Epoch: [13][1030/5809] Time 0.133 (0.344) Data 0.001 (0.268) Loss 2.7536 (2.6419) Prec@1 32.422 (36.077) Prec@5 63.281 (66.372) Epoch: [13][1040/5809] Time 0.161 (0.344) Data 0.101 (0.268) Loss 2.5984 (2.6424) Prec@1 35.156 (36.056) Prec@5 68.359 (66.362) Epoch: [13][1050/5809] Time 0.234 (0.344) Data 0.175 (0.268) Loss 2.5603 (2.6424) Prec@1 38.281 (36.052) Prec@5 66.016 (66.360) Epoch: [13][1060/5809] Time 0.133 (0.344) Data 0.001 (0.268) Loss 2.7585 (2.6422) Prec@1 29.297 (36.052) Prec@5 66.406 (66.367) Epoch: [13][1070/5809] Time 0.250 (0.344) Data 0.190 (0.268) Loss 2.5599 (2.6420) Prec@1 31.250 (36.053) Prec@5 68.750 (66.372) Epoch: [13][1080/5809] Time 0.133 (0.343) Data 0.048 (0.268) Loss 2.7168 (2.6425) Prec@1 35.156 (36.041) Prec@5 64.844 (66.356) Epoch: [13][1090/5809] Time 0.133 (0.344) Data 0.068 (0.268) Loss 2.7328 (2.6426) Prec@1 40.234 (36.043) Prec@5 62.891 (66.358) Epoch: [13][1100/5809] Time 0.126 (0.343) Data 0.046 (0.268) Loss 2.8673 (2.6427) Prec@1 28.516 (36.036) Prec@5 60.547 (66.358) Epoch: [13][1110/5809] Time 0.134 (0.344) Data 0.001 (0.268) Loss 2.5526 (2.6432) Prec@1 39.062 (36.025) Prec@5 68.359 (66.348) Epoch: [13][1120/5809] Time 0.135 (0.343) Data 0.001 (0.267) Loss 2.7013 (2.6433) Prec@1 37.109 (36.021) Prec@5 65.625 (66.343) Epoch: [13][1130/5809] Time 0.295 (0.344) Data 0.235 (0.268) Loss 2.8831 (2.6441) Prec@1 30.078 (35.999) Prec@5 61.719 (66.329) Epoch: [13][1140/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.6960 (2.6443) Prec@1 30.859 (35.983) Prec@5 68.359 (66.337) Epoch: [13][1150/5809] Time 0.384 (0.344) Data 0.318 (0.268) Loss 2.6892 (2.6438) Prec@1 35.547 (35.991) Prec@5 65.625 (66.348) Epoch: [13][1160/5809] Time 0.125 (0.344) Data 0.054 (0.267) Loss 2.6784 (2.6436) Prec@1 32.031 (35.995) Prec@5 67.969 (66.345) Epoch: [13][1170/5809] Time 0.245 (0.344) Data 0.187 (0.267) Loss 2.7050 (2.6433) Prec@1 35.938 (36.004) Prec@5 62.109 (66.351) Epoch: [13][1180/5809] Time 0.133 (0.343) Data 0.046 (0.267) Loss 2.5184 (2.6436) Prec@1 37.891 (36.009) Prec@5 67.578 (66.336) Epoch: [13][1190/5809] Time 0.376 (0.344) Data 0.318 (0.267) Loss 2.7160 (2.6442) Prec@1 36.719 (36.007) Prec@5 68.750 (66.322) Epoch: [13][1200/5809] Time 0.127 (0.343) Data 0.053 (0.267) Loss 2.7048 (2.6441) Prec@1 36.328 (36.018) Prec@5 66.016 (66.324) Epoch: [13][1210/5809] Time 0.343 (0.344) Data 0.284 (0.267) Loss 2.7625 (2.6448) Prec@1 34.766 (36.004) Prec@5 62.891 (66.307) Epoch: [13][1220/5809] Time 0.179 (0.343) Data 0.119 (0.267) Loss 2.5341 (2.6446) Prec@1 37.500 (36.011) Prec@5 67.188 (66.312) Epoch: [13][1230/5809] Time 0.291 (0.343) Data 0.231 (0.267) Loss 2.6933 (2.6448) Prec@1 34.766 (36.003) Prec@5 64.453 (66.306) Epoch: [13][1240/5809] Time 0.170 (0.343) Data 0.109 (0.267) Loss 2.7950 (2.6450) Prec@1 39.844 (36.005) Prec@5 64.062 (66.302) Epoch: [13][1250/5809] Time 0.305 (0.343) Data 0.245 (0.267) Loss 2.5988 (2.6449) Prec@1 35.938 (36.007) Prec@5 66.406 (66.308) Epoch: [13][1260/5809] Time 0.134 (0.343) Data 0.068 (0.268) Loss 2.6742 (2.6448) Prec@1 37.500 (36.010) Prec@5 60.547 (66.301) Epoch: [13][1270/5809] Time 0.166 (0.343) Data 0.105 (0.267) Loss 2.7386 (2.6450) Prec@1 34.375 (36.007) Prec@5 63.672 (66.297) Epoch: [13][1280/5809] Time 0.282 (0.343) Data 0.222 (0.268) Loss 2.5297 (2.6453) Prec@1 43.750 (36.000) Prec@5 67.188 (66.282) Epoch: [13][1290/5809] Time 0.133 (0.343) Data 0.046 (0.268) Loss 2.7492 (2.6452) Prec@1 32.812 (35.997) Prec@5 64.844 (66.290) Epoch: [13][1300/5809] Time 0.372 (0.343) Data 0.306 (0.268) Loss 2.8047 (2.6455) Prec@1 30.859 (35.991) Prec@5 63.672 (66.287) Epoch: [13][1310/5809] Time 0.134 (0.343) Data 0.010 (0.267) Loss 2.7518 (2.6457) Prec@1 32.812 (35.985) Prec@5 64.844 (66.282) Epoch: [13][1320/5809] Time 0.133 (0.343) Data 0.005 (0.268) Loss 2.6655 (2.6454) Prec@1 34.375 (35.989) Prec@5 66.406 (66.288) Epoch: [13][1330/5809] Time 0.154 (0.343) Data 0.094 (0.267) Loss 2.5262 (2.6455) Prec@1 33.984 (35.982) Prec@5 67.969 (66.293) Epoch: [13][1340/5809] Time 0.133 (0.343) Data 0.063 (0.268) Loss 2.6573 (2.6456) Prec@1 34.375 (35.974) Prec@5 68.750 (66.291) Epoch: [13][1350/5809] Time 0.312 (0.343) Data 0.251 (0.268) Loss 2.5114 (2.6453) Prec@1 37.109 (35.972) Prec@5 69.531 (66.299) Epoch: [13][1360/5809] Time 0.166 (0.343) Data 0.107 (0.268) Loss 2.7026 (2.6455) Prec@1 34.766 (35.971) Prec@5 67.188 (66.297) Epoch: [13][1370/5809] Time 0.353 (0.343) Data 0.292 (0.268) Loss 2.7879 (2.6454) Prec@1 29.688 (35.967) Prec@5 64.062 (66.295) Epoch: [13][1380/5809] Time 0.131 (0.344) Data 0.040 (0.268) Loss 2.6786 (2.6456) Prec@1 32.422 (35.957) Prec@5 65.625 (66.287) Epoch: [13][1390/5809] Time 0.198 (0.343) Data 0.139 (0.267) Loss 2.7082 (2.6454) Prec@1 38.281 (35.958) Prec@5 63.281 (66.291) Epoch: [13][1400/5809] Time 0.134 (0.344) Data 0.001 (0.267) Loss 2.5556 (2.6458) Prec@1 37.109 (35.951) Prec@5 69.141 (66.281) Epoch: [13][1410/5809] Time 0.418 (0.343) Data 0.357 (0.267) Loss 2.5419 (2.6462) Prec@1 38.281 (35.942) Prec@5 67.578 (66.277) Epoch: [13][1420/5809] Time 0.127 (0.344) Data 0.001 (0.267) Loss 2.8915 (2.6466) Prec@1 37.109 (35.942) Prec@5 61.719 (66.261) Epoch: [13][1430/5809] Time 0.584 (0.344) Data 0.524 (0.267) Loss 2.7832 (2.6468) Prec@1 31.250 (35.938) Prec@5 63.281 (66.250) Epoch: [13][1440/5809] Time 0.191 (0.343) Data 0.125 (0.267) Loss 2.6386 (2.6468) Prec@1 37.500 (35.945) Prec@5 66.406 (66.248) Epoch: [13][1450/5809] Time 0.450 (0.343) Data 0.391 (0.267) Loss 2.7515 (2.6466) Prec@1 32.422 (35.944) Prec@5 64.062 (66.254) Epoch: [13][1460/5809] Time 0.369 (0.343) Data 0.303 (0.267) Loss 2.7018 (2.6465) Prec@1 35.547 (35.947) Prec@5 64.844 (66.251) Epoch: [13][1470/5809] Time 0.538 (0.343) Data 0.479 (0.267) Loss 2.5548 (2.6467) Prec@1 36.328 (35.937) Prec@5 66.016 (66.244) Epoch: [13][1480/5809] Time 0.504 (0.344) Data 0.445 (0.267) Loss 2.6685 (2.6461) Prec@1 38.672 (35.942) Prec@5 66.797 (66.257) Epoch: [13][1490/5809] Time 0.432 (0.343) Data 0.372 (0.267) Loss 2.7553 (2.6463) Prec@1 30.078 (35.935) Prec@5 64.453 (66.251) Epoch: [13][1500/5809] Time 0.418 (0.344) Data 0.357 (0.267) Loss 2.5809 (2.6464) Prec@1 37.891 (35.936) Prec@5 66.406 (66.251) Epoch: [13][1510/5809] Time 0.556 (0.344) Data 0.495 (0.267) Loss 2.7448 (2.6468) Prec@1 36.328 (35.928) Prec@5 63.281 (66.237) Epoch: [13][1520/5809] Time 0.336 (0.344) Data 0.275 (0.267) Loss 2.9500 (2.6469) Prec@1 26.953 (35.916) Prec@5 58.594 (66.237) Epoch: [13][1530/5809] Time 0.132 (0.343) Data 0.050 (0.267) Loss 2.5466 (2.6469) Prec@1 35.938 (35.910) Prec@5 68.750 (66.236) Epoch: [13][1540/5809] Time 0.133 (0.343) Data 0.046 (0.268) Loss 2.6626 (2.6468) Prec@1 35.547 (35.911) Prec@5 63.281 (66.239) Epoch: [13][1550/5809] Time 0.297 (0.344) Data 0.231 (0.268) Loss 2.7233 (2.6465) Prec@1 35.156 (35.915) Prec@5 64.062 (66.240) Epoch: [13][1560/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.8780 (2.6468) Prec@1 33.203 (35.911) Prec@5 58.203 (66.234) Epoch: [13][1570/5809] Time 0.343 (0.344) Data 0.276 (0.268) Loss 2.5166 (2.6463) Prec@1 34.375 (35.918) Prec@5 68.359 (66.242) Epoch: [13][1580/5809] Time 0.129 (0.343) Data 0.045 (0.267) Loss 2.5535 (2.6465) Prec@1 37.500 (35.918) Prec@5 67.578 (66.240) Epoch: [13][1590/5809] Time 0.133 (0.344) Data 0.001 (0.267) Loss 2.4989 (2.6464) Prec@1 38.672 (35.918) Prec@5 69.531 (66.246) Epoch: [13][1600/5809] Time 0.135 (0.343) Data 0.001 (0.267) Loss 2.6298 (2.6463) Prec@1 37.500 (35.923) Prec@5 71.484 (66.247) Epoch: [13][1610/5809] Time 0.135 (0.344) Data 0.053 (0.267) Loss 2.5486 (2.6465) Prec@1 39.062 (35.925) Prec@5 69.922 (66.244) Epoch: [13][1620/5809] Time 0.134 (0.343) Data 0.001 (0.267) Loss 2.3340 (2.6465) Prec@1 39.844 (35.930) Prec@5 70.703 (66.242) Epoch: [13][1630/5809] Time 0.139 (0.344) Data 0.001 (0.267) Loss 2.5837 (2.6464) Prec@1 36.719 (35.929) Prec@5 67.188 (66.253) Epoch: [13][1640/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.7000 (2.6464) Prec@1 37.891 (35.936) Prec@5 62.500 (66.255) Epoch: [13][1650/5809] Time 0.203 (0.344) Data 0.143 (0.266) Loss 2.7582 (2.6462) Prec@1 33.203 (35.937) Prec@5 64.844 (66.253) Epoch: [13][1660/5809] Time 0.153 (0.343) Data 0.094 (0.266) Loss 2.7110 (2.6461) Prec@1 36.719 (35.946) Prec@5 65.234 (66.257) Epoch: [13][1670/5809] Time 0.144 (0.344) Data 0.086 (0.266) Loss 2.5813 (2.6458) Prec@1 35.547 (35.945) Prec@5 68.359 (66.262) Epoch: [13][1680/5809] Time 0.179 (0.343) Data 0.120 (0.266) Loss 2.8674 (2.6459) Prec@1 30.469 (35.943) Prec@5 60.938 (66.258) Epoch: [13][1690/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.4934 (2.6457) Prec@1 35.938 (35.945) Prec@5 70.312 (66.262) Epoch: [13][1700/5809] Time 0.432 (0.344) Data 0.371 (0.266) Loss 2.5404 (2.6455) Prec@1 35.547 (35.947) Prec@5 66.797 (66.262) Epoch: [13][1710/5809] Time 0.126 (0.343) Data 0.053 (0.266) Loss 2.5469 (2.6459) Prec@1 35.156 (35.940) Prec@5 67.578 (66.250) Epoch: [13][1720/5809] Time 0.594 (0.344) Data 0.533 (0.266) Loss 2.5954 (2.6458) Prec@1 37.891 (35.939) Prec@5 65.234 (66.248) Epoch: [13][1730/5809] Time 0.198 (0.343) Data 0.138 (0.266) Loss 2.7413 (2.6456) Prec@1 30.859 (35.940) Prec@5 62.891 (66.252) Epoch: [13][1740/5809] Time 0.614 (0.344) Data 0.556 (0.267) Loss 2.6246 (2.6457) Prec@1 35.156 (35.939) Prec@5 64.844 (66.251) Epoch: [13][1750/5809] Time 0.139 (0.343) Data 0.001 (0.267) Loss 2.6204 (2.6459) Prec@1 35.156 (35.932) Prec@5 67.578 (66.245) Epoch: [13][1760/5809] Time 0.891 (0.344) Data 0.831 (0.267) Loss 2.6339 (2.6459) Prec@1 37.500 (35.932) Prec@5 68.359 (66.244) Epoch: [13][1770/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.6204 (2.6457) Prec@1 34.766 (35.937) Prec@5 67.188 (66.243) Epoch: [13][1780/5809] Time 0.544 (0.344) Data 0.477 (0.267) Loss 2.8014 (2.6456) Prec@1 32.812 (35.943) Prec@5 61.719 (66.240) Epoch: [13][1790/5809] Time 0.129 (0.343) Data 0.046 (0.266) Loss 2.6170 (2.6453) Prec@1 36.328 (35.948) Prec@5 64.062 (66.246) Epoch: [13][1800/5809] Time 0.637 (0.344) Data 0.571 (0.267) Loss 2.7829 (2.6457) Prec@1 34.766 (35.940) Prec@5 63.672 (66.238) Epoch: [13][1810/5809] Time 0.124 (0.343) Data 0.051 (0.267) Loss 2.5299 (2.6455) Prec@1 44.141 (35.949) Prec@5 67.969 (66.240) Epoch: [13][1820/5809] Time 0.645 (0.344) Data 0.584 (0.267) Loss 2.4437 (2.6453) Prec@1 42.969 (35.955) Prec@5 71.094 (66.243) Epoch: [13][1830/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.9909 (2.6455) Prec@1 29.688 (35.948) Prec@5 57.812 (66.239) Epoch: [13][1840/5809] Time 0.636 (0.344) Data 0.575 (0.267) Loss 2.6742 (2.6452) Prec@1 32.422 (35.951) Prec@5 67.969 (66.250) Epoch: [13][1850/5809] Time 0.135 (0.343) Data 0.001 (0.266) Loss 2.7887 (2.6450) Prec@1 32.812 (35.956) Prec@5 65.234 (66.252) Epoch: [13][1860/5809] Time 0.510 (0.344) Data 0.442 (0.267) Loss 2.4383 (2.6447) Prec@1 39.844 (35.954) Prec@5 69.922 (66.256) Epoch: [13][1870/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.7247 (2.6449) Prec@1 29.688 (35.948) Prec@5 67.578 (66.254) Epoch: [13][1880/5809] Time 0.694 (0.344) Data 0.629 (0.266) Loss 2.5160 (2.6449) Prec@1 37.500 (35.944) Prec@5 67.969 (66.252) Epoch: [13][1890/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.7262 (2.6449) Prec@1 35.547 (35.940) Prec@5 66.016 (66.254) Epoch: [13][1900/5809] Time 0.680 (0.344) Data 0.619 (0.266) Loss 2.4348 (2.6449) Prec@1 40.234 (35.940) Prec@5 71.484 (66.251) Epoch: [13][1910/5809] Time 0.132 (0.343) Data 0.053 (0.266) Loss 2.7554 (2.6450) Prec@1 35.156 (35.943) Prec@5 64.844 (66.244) Epoch: [13][1920/5809] Time 0.462 (0.344) Data 0.401 (0.266) Loss 2.5040 (2.6448) Prec@1 33.594 (35.944) Prec@5 66.406 (66.243) Epoch: [13][1930/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.5837 (2.6447) Prec@1 36.328 (35.946) Prec@5 69.531 (66.246) Epoch: [13][1940/5809] Time 0.242 (0.344) Data 0.176 (0.266) Loss 2.7371 (2.6446) Prec@1 37.500 (35.942) Prec@5 64.844 (66.244) Epoch: [13][1950/5809] Time 0.134 (0.343) Data 0.051 (0.266) Loss 2.6536 (2.6448) Prec@1 30.469 (35.934) Prec@5 65.234 (66.240) Epoch: [13][1960/5809] Time 0.246 (0.344) Data 0.185 (0.266) Loss 2.5737 (2.6447) Prec@1 35.547 (35.931) Prec@5 67.188 (66.245) Epoch: [13][1970/5809] Time 0.134 (0.343) Data 0.050 (0.266) Loss 2.7925 (2.6448) Prec@1 32.812 (35.928) Prec@5 64.062 (66.243) Epoch: [13][1980/5809] Time 0.140 (0.344) Data 0.001 (0.266) Loss 2.4286 (2.6448) Prec@1 42.578 (35.922) Prec@5 66.406 (66.244) Epoch: [13][1990/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.7501 (2.6447) Prec@1 35.547 (35.929) Prec@5 66.406 (66.248) Epoch: [13][2000/5809] Time 0.169 (0.344) Data 0.109 (0.266) Loss 2.9259 (2.6448) Prec@1 30.078 (35.926) Prec@5 57.812 (66.242) Epoch: [13][2010/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.4917 (2.6448) Prec@1 37.109 (35.922) Prec@5 70.312 (66.241) Epoch: [13][2020/5809] Time 0.139 (0.344) Data 0.001 (0.266) Loss 2.6363 (2.6447) Prec@1 31.641 (35.915) Prec@5 66.016 (66.237) Epoch: [13][2030/5809] Time 0.133 (0.343) Data 0.001 (0.265) Loss 2.4734 (2.6447) Prec@1 40.625 (35.918) Prec@5 69.141 (66.238) Epoch: [13][2040/5809] Time 0.131 (0.344) Data 0.046 (0.266) Loss 2.3476 (2.6445) Prec@1 44.531 (35.923) Prec@5 71.094 (66.240) Epoch: [13][2050/5809] Time 0.133 (0.343) Data 0.040 (0.265) Loss 2.5331 (2.6441) Prec@1 34.766 (35.932) Prec@5 65.234 (66.244) Epoch: [13][2060/5809] Time 0.142 (0.344) Data 0.001 (0.265) Loss 2.5753 (2.6442) Prec@1 37.891 (35.930) Prec@5 67.578 (66.242) Epoch: [13][2070/5809] Time 0.133 (0.343) Data 0.041 (0.265) Loss 2.5943 (2.6443) Prec@1 37.500 (35.931) Prec@5 68.359 (66.244) Epoch: [13][2080/5809] Time 0.143 (0.344) Data 0.081 (0.265) Loss 2.6813 (2.6440) Prec@1 36.719 (35.938) Prec@5 62.891 (66.247) Epoch: [13][2090/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.4671 (2.6439) Prec@1 42.969 (35.935) Prec@5 71.094 (66.253) Epoch: [13][2100/5809] Time 0.140 (0.344) Data 0.001 (0.265) Loss 2.7174 (2.6444) Prec@1 35.156 (35.928) Prec@5 62.500 (66.244) Epoch: [13][2110/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.8535 (2.6443) Prec@1 33.594 (35.932) Prec@5 65.625 (66.246) Epoch: [13][2120/5809] Time 0.140 (0.344) Data 0.001 (0.265) Loss 2.7419 (2.6442) Prec@1 31.250 (35.930) Prec@5 63.281 (66.243) Epoch: [13][2130/5809] Time 0.133 (0.343) Data 0.001 (0.264) Loss 2.7447 (2.6444) Prec@1 33.594 (35.928) Prec@5 63.281 (66.242) Epoch: [13][2140/5809] Time 0.140 (0.344) Data 0.001 (0.264) Loss 2.5002 (2.6446) Prec@1 35.156 (35.923) Prec@5 72.656 (66.236) Epoch: [13][2150/5809] Time 0.133 (0.343) Data 0.001 (0.264) Loss 2.6691 (2.6449) Prec@1 34.375 (35.916) Prec@5 63.672 (66.235) Epoch: [13][2160/5809] Time 0.147 (0.343) Data 0.087 (0.264) Loss 2.6183 (2.6450) Prec@1 38.281 (35.916) Prec@5 67.188 (66.232) Epoch: [13][2170/5809] Time 0.131 (0.343) Data 0.001 (0.264) Loss 2.8928 (2.6451) Prec@1 29.297 (35.918) Prec@5 65.625 (66.233) Epoch: [13][2180/5809] Time 0.133 (0.343) Data 0.050 (0.264) Loss 2.6080 (2.6456) Prec@1 36.719 (35.908) Prec@5 66.016 (66.221) Epoch: [13][2190/5809] Time 0.239 (0.343) Data 0.178 (0.264) Loss 2.6493 (2.6454) Prec@1 35.938 (35.915) Prec@5 66.406 (66.224) Epoch: [13][2200/5809] Time 0.127 (0.343) Data 0.049 (0.264) Loss 2.5467 (2.6454) Prec@1 39.844 (35.914) Prec@5 70.703 (66.223) Epoch: [13][2210/5809] Time 0.723 (0.344) Data 0.662 (0.264) Loss 2.5272 (2.6453) Prec@1 39.062 (35.915) Prec@5 68.359 (66.226) Epoch: [13][2220/5809] Time 0.340 (0.343) Data 0.280 (0.264) Loss 2.6758 (2.6453) Prec@1 36.328 (35.921) Prec@5 64.844 (66.228) Epoch: [13][2230/5809] Time 0.653 (0.343) Data 0.593 (0.264) Loss 2.7356 (2.6454) Prec@1 32.812 (35.910) Prec@5 64.453 (66.220) Epoch: [13][2240/5809] Time 0.190 (0.343) Data 0.129 (0.264) Loss 2.7439 (2.6455) Prec@1 33.203 (35.910) Prec@5 61.719 (66.217) Epoch: [13][2250/5809] Time 0.579 (0.343) Data 0.519 (0.265) Loss 2.6063 (2.6455) Prec@1 37.891 (35.906) Prec@5 67.969 (66.215) Epoch: [13][2260/5809] Time 0.133 (0.343) Data 0.001 (0.264) Loss 2.5502 (2.6456) Prec@1 39.844 (35.906) Prec@5 67.188 (66.214) Epoch: [13][2270/5809] Time 0.589 (0.343) Data 0.530 (0.265) Loss 2.6667 (2.6454) Prec@1 38.281 (35.912) Prec@5 67.578 (66.220) Epoch: [13][2280/5809] Time 0.303 (0.343) Data 0.244 (0.265) Loss 2.5933 (2.6455) Prec@1 37.109 (35.913) Prec@5 64.062 (66.213) Epoch: [13][2290/5809] Time 0.893 (0.344) Data 0.832 (0.265) Loss 2.6982 (2.6452) Prec@1 33.203 (35.911) Prec@5 64.062 (66.219) Epoch: [13][2300/5809] Time 0.291 (0.343) Data 0.231 (0.265) Loss 2.5911 (2.6453) Prec@1 44.531 (35.915) Prec@5 65.625 (66.219) Epoch: [13][2310/5809] Time 0.670 (0.343) Data 0.611 (0.265) Loss 2.8825 (2.6454) Prec@1 30.859 (35.915) Prec@5 59.766 (66.214) Epoch: [13][2320/5809] Time 0.329 (0.343) Data 0.270 (0.265) Loss 2.7609 (2.6455) Prec@1 32.812 (35.914) Prec@5 61.719 (66.208) Epoch: [13][2330/5809] Time 0.360 (0.343) Data 0.301 (0.265) Loss 2.4511 (2.6455) Prec@1 42.578 (35.917) Prec@5 70.703 (66.205) Epoch: [13][2340/5809] Time 0.453 (0.343) Data 0.394 (0.265) Loss 2.6677 (2.6454) Prec@1 34.375 (35.921) Prec@5 65.625 (66.211) Epoch: [13][2350/5809] Time 0.361 (0.343) Data 0.301 (0.265) Loss 2.6380 (2.6456) Prec@1 36.328 (35.919) Prec@5 68.750 (66.208) Epoch: [13][2360/5809] Time 0.395 (0.343) Data 0.335 (0.265) Loss 2.6423 (2.6457) Prec@1 35.547 (35.915) Prec@5 64.844 (66.204) Epoch: [13][2370/5809] Time 0.335 (0.343) Data 0.275 (0.265) Loss 2.6031 (2.6459) Prec@1 35.156 (35.911) Prec@5 66.797 (66.203) Epoch: [13][2380/5809] Time 0.432 (0.343) Data 0.371 (0.265) Loss 2.6680 (2.6459) Prec@1 33.594 (35.910) Prec@5 67.969 (66.202) Epoch: [13][2390/5809] Time 0.379 (0.343) Data 0.319 (0.265) Loss 2.5481 (2.6459) Prec@1 36.328 (35.909) Prec@5 67.578 (66.202) Epoch: [13][2400/5809] Time 0.508 (0.343) Data 0.448 (0.265) Loss 2.6234 (2.6460) Prec@1 38.672 (35.910) Prec@5 69.141 (66.202) Epoch: [13][2410/5809] Time 0.330 (0.343) Data 0.270 (0.265) Loss 2.6186 (2.6460) Prec@1 38.281 (35.912) Prec@5 66.016 (66.202) Epoch: [13][2420/5809] Time 0.333 (0.343) Data 0.268 (0.265) Loss 2.5676 (2.6463) Prec@1 33.594 (35.903) Prec@5 66.797 (66.202) Epoch: [13][2430/5809] Time 0.244 (0.343) Data 0.186 (0.265) Loss 2.5305 (2.6461) Prec@1 38.672 (35.905) Prec@5 67.969 (66.201) Epoch: [13][2440/5809] Time 0.185 (0.343) Data 0.126 (0.265) Loss 2.9063 (2.6457) Prec@1 29.297 (35.912) Prec@5 62.500 (66.211) Epoch: [13][2450/5809] Time 0.134 (0.343) Data 0.057 (0.265) Loss 2.9408 (2.6460) Prec@1 31.641 (35.905) Prec@5 59.766 (66.208) Epoch: [13][2460/5809] Time 0.147 (0.343) Data 0.086 (0.265) Loss 2.5795 (2.6457) Prec@1 39.844 (35.908) Prec@5 66.797 (66.216) Epoch: [13][2470/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.5971 (2.6458) Prec@1 34.375 (35.907) Prec@5 65.625 (66.211) Epoch: [13][2480/5809] Time 0.167 (0.343) Data 0.106 (0.265) Loss 2.6362 (2.6457) Prec@1 35.938 (35.907) Prec@5 66.406 (66.214) Epoch: [13][2490/5809] Time 0.557 (0.343) Data 0.496 (0.265) Loss 2.7067 (2.6460) Prec@1 32.422 (35.897) Prec@5 69.141 (66.210) Epoch: [13][2500/5809] Time 0.141 (0.343) Data 0.001 (0.265) Loss 2.7925 (2.6459) Prec@1 34.766 (35.896) Prec@5 64.844 (66.214) Epoch: [13][2510/5809] Time 0.636 (0.343) Data 0.576 (0.266) Loss 2.6599 (2.6461) Prec@1 36.328 (35.894) Prec@5 66.016 (66.211) Epoch: [13][2520/5809] Time 0.134 (0.343) Data 0.043 (0.265) Loss 2.6510 (2.6459) Prec@1 37.891 (35.900) Prec@5 66.016 (66.216) Epoch: [13][2530/5809] Time 0.911 (0.343) Data 0.843 (0.266) Loss 2.4983 (2.6460) Prec@1 33.984 (35.896) Prec@5 70.312 (66.214) Epoch: [13][2540/5809] Time 0.135 (0.343) Data 0.001 (0.265) Loss 2.6188 (2.6460) Prec@1 35.156 (35.893) Prec@5 64.844 (66.216) Epoch: [13][2550/5809] Time 0.784 (0.343) Data 0.725 (0.266) Loss 2.7128 (2.6462) Prec@1 35.156 (35.889) Prec@5 63.281 (66.211) Epoch: [13][2560/5809] Time 0.138 (0.343) Data 0.001 (0.265) Loss 2.5804 (2.6461) Prec@1 41.016 (35.892) Prec@5 67.188 (66.218) Epoch: [13][2570/5809] Time 1.062 (0.343) Data 0.995 (0.266) Loss 2.7598 (2.6463) Prec@1 31.641 (35.889) Prec@5 64.453 (66.215) Epoch: [13][2580/5809] Time 0.133 (0.343) Data 0.001 (0.265) Loss 2.6438 (2.6464) Prec@1 37.891 (35.888) Prec@5 63.281 (66.213) Epoch: [13][2590/5809] Time 0.970 (0.343) Data 0.905 (0.265) Loss 2.4560 (2.6465) Prec@1 35.547 (35.887) Prec@5 69.531 (66.211) Epoch: [13][2600/5809] Time 0.155 (0.343) Data 0.095 (0.265) Loss 2.6664 (2.6464) Prec@1 37.891 (35.891) Prec@5 66.406 (66.213) Epoch: [13][2610/5809] Time 1.037 (0.343) Data 0.975 (0.265) Loss 2.7011 (2.6467) Prec@1 37.891 (35.885) Prec@5 64.844 (66.206) Epoch: [13][2620/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.6738 (2.6466) Prec@1 37.109 (35.887) Prec@5 64.453 (66.208) Epoch: [13][2630/5809] Time 0.835 (0.343) Data 0.770 (0.265) Loss 2.6615 (2.6466) Prec@1 37.500 (35.892) Prec@5 67.188 (66.208) Epoch: [13][2640/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.6422 (2.6466) Prec@1 32.812 (35.895) Prec@5 66.797 (66.208) Epoch: [13][2650/5809] Time 0.878 (0.343) Data 0.817 (0.265) Loss 2.7286 (2.6467) Prec@1 33.984 (35.890) Prec@5 66.797 (66.208) Epoch: [13][2660/5809] Time 0.232 (0.343) Data 0.172 (0.265) Loss 2.6095 (2.6465) Prec@1 37.891 (35.896) Prec@5 68.750 (66.213) Epoch: [13][2670/5809] Time 1.009 (0.343) Data 0.948 (0.265) Loss 2.6701 (2.6466) Prec@1 37.500 (35.892) Prec@5 67.969 (66.213) Epoch: [13][2680/5809] Time 0.178 (0.343) Data 0.118 (0.264) Loss 2.4195 (2.6465) Prec@1 46.094 (35.895) Prec@5 69.531 (66.213) Epoch: [13][2690/5809] Time 0.824 (0.343) Data 0.765 (0.265) Loss 2.9382 (2.6467) Prec@1 29.688 (35.891) Prec@5 58.594 (66.207) Epoch: [13][2700/5809] Time 0.287 (0.343) Data 0.228 (0.264) Loss 2.5607 (2.6467) Prec@1 39.453 (35.896) Prec@5 68.359 (66.207) Epoch: [13][2710/5809] Time 0.665 (0.343) Data 0.607 (0.265) Loss 2.6991 (2.6467) Prec@1 32.422 (35.895) Prec@5 64.844 (66.206) Epoch: [13][2720/5809] Time 0.466 (0.343) Data 0.406 (0.264) Loss 2.7002 (2.6470) Prec@1 34.766 (35.892) Prec@5 65.234 (66.200) Epoch: [13][2730/5809] Time 0.514 (0.343) Data 0.453 (0.265) Loss 2.6936 (2.6470) Prec@1 36.328 (35.891) Prec@5 60.156 (66.197) Epoch: [13][2740/5809] Time 0.236 (0.343) Data 0.178 (0.265) Loss 2.6045 (2.6471) Prec@1 43.750 (35.891) Prec@5 69.531 (66.196) Epoch: [13][2750/5809] Time 0.516 (0.343) Data 0.456 (0.265) Loss 2.8989 (2.6472) Prec@1 34.375 (35.891) Prec@5 62.500 (66.193) Epoch: [13][2760/5809] Time 0.213 (0.343) Data 0.153 (0.265) Loss 2.7893 (2.6473) Prec@1 34.766 (35.890) Prec@5 61.719 (66.192) Epoch: [13][2770/5809] Time 0.658 (0.343) Data 0.591 (0.265) Loss 2.9093 (2.6475) Prec@1 32.031 (35.891) Prec@5 60.156 (66.187) Epoch: [13][2780/5809] Time 0.134 (0.343) Data 0.045 (0.265) Loss 2.7399 (2.6474) Prec@1 34.375 (35.891) Prec@5 64.844 (66.189) Epoch: [13][2790/5809] Time 0.564 (0.343) Data 0.504 (0.265) Loss 2.6116 (2.6473) Prec@1 37.109 (35.893) Prec@5 66.016 (66.194) Epoch: [13][2800/5809] Time 0.133 (0.343) Data 0.056 (0.265) Loss 2.8577 (2.6477) Prec@1 28.906 (35.888) Prec@5 60.938 (66.186) Epoch: [13][2810/5809] Time 0.418 (0.343) Data 0.357 (0.265) Loss 2.4727 (2.6477) Prec@1 38.281 (35.888) Prec@5 69.141 (66.187) Epoch: [13][2820/5809] Time 0.133 (0.343) Data 0.001 (0.265) Loss 2.4737 (2.6475) Prec@1 39.453 (35.892) Prec@5 72.656 (66.189) Epoch: [13][2830/5809] Time 0.324 (0.343) Data 0.263 (0.265) Loss 2.6687 (2.6474) Prec@1 37.500 (35.891) Prec@5 65.625 (66.196) Epoch: [13][2840/5809] Time 0.243 (0.343) Data 0.183 (0.265) Loss 2.6436 (2.6476) Prec@1 32.422 (35.890) Prec@5 62.109 (66.192) Epoch: [13][2850/5809] Time 0.221 (0.343) Data 0.161 (0.265) Loss 2.7251 (2.6477) Prec@1 34.766 (35.887) Prec@5 64.062 (66.187) Epoch: [13][2860/5809] Time 0.134 (0.343) Data 0.051 (0.265) Loss 2.6599 (2.6478) Prec@1 35.938 (35.890) Prec@5 67.969 (66.185) Epoch: [13][2870/5809] Time 0.144 (0.343) Data 0.084 (0.265) Loss 2.7100 (2.6480) Prec@1 38.281 (35.886) Prec@5 65.234 (66.181) Epoch: [13][2880/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.7774 (2.6481) Prec@1 34.375 (35.889) Prec@5 63.281 (66.178) Epoch: [13][2890/5809] Time 0.170 (0.343) Data 0.109 (0.265) Loss 2.5988 (2.6481) Prec@1 37.500 (35.888) Prec@5 68.359 (66.182) Epoch: [13][2900/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.5623 (2.6483) Prec@1 41.016 (35.884) Prec@5 65.625 (66.179) Epoch: [13][2910/5809] Time 0.133 (0.343) Data 0.001 (0.265) Loss 2.5221 (2.6483) Prec@1 35.938 (35.884) Prec@5 69.141 (66.177) Epoch: [13][2920/5809] Time 0.196 (0.343) Data 0.136 (0.265) Loss 2.6238 (2.6484) Prec@1 39.453 (35.886) Prec@5 65.234 (66.172) Epoch: [13][2930/5809] Time 0.346 (0.343) Data 0.280 (0.265) Loss 2.7055 (2.6487) Prec@1 37.500 (35.884) Prec@5 63.672 (66.167) Epoch: [13][2940/5809] Time 0.144 (0.343) Data 0.083 (0.265) Loss 2.6084 (2.6487) Prec@1 39.453 (35.883) Prec@5 66.406 (66.167) Epoch: [13][2950/5809] Time 0.437 (0.343) Data 0.376 (0.265) Loss 2.7535 (2.6487) Prec@1 32.031 (35.879) Prec@5 62.500 (66.163) Epoch: [13][2960/5809] Time 0.133 (0.343) Data 0.053 (0.265) Loss 2.6691 (2.6486) Prec@1 36.719 (35.879) Prec@5 66.016 (66.162) Epoch: [13][2970/5809] Time 0.412 (0.343) Data 0.351 (0.265) Loss 2.6415 (2.6485) Prec@1 35.938 (35.880) Prec@5 66.797 (66.164) Epoch: [13][2980/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.6293 (2.6484) Prec@1 41.406 (35.884) Prec@5 66.406 (66.166) Epoch: [13][2990/5809] Time 0.435 (0.343) Data 0.376 (0.265) Loss 2.7114 (2.6487) Prec@1 35.156 (35.880) Prec@5 62.109 (66.163) Epoch: [13][3000/5809] Time 0.134 (0.343) Data 0.057 (0.265) Loss 2.7261 (2.6489) Prec@1 39.453 (35.874) Prec@5 66.797 (66.158) Epoch: [13][3010/5809] Time 0.640 (0.343) Data 0.580 (0.265) Loss 2.4167 (2.6487) Prec@1 39.844 (35.878) Prec@5 69.922 (66.162) Epoch: [13][3020/5809] Time 0.161 (0.343) Data 0.094 (0.265) Loss 2.6950 (2.6487) Prec@1 34.766 (35.879) Prec@5 62.891 (66.160) Epoch: [13][3030/5809] Time 0.524 (0.343) Data 0.464 (0.265) Loss 2.4986 (2.6488) Prec@1 37.500 (35.876) Prec@5 67.188 (66.158) Epoch: [13][3040/5809] Time 0.287 (0.343) Data 0.219 (0.265) Loss 2.6911 (2.6489) Prec@1 37.109 (35.875) Prec@5 65.234 (66.159) Epoch: [13][3050/5809] Time 0.816 (0.344) Data 0.749 (0.265) Loss 2.6645 (2.6490) Prec@1 42.188 (35.875) Prec@5 66.406 (66.158) Epoch: [13][3060/5809] Time 0.192 (0.343) Data 0.133 (0.265) Loss 2.5368 (2.6492) Prec@1 38.672 (35.870) Prec@5 66.016 (66.153) Epoch: [13][3070/5809] Time 0.828 (0.344) Data 0.760 (0.265) Loss 2.6519 (2.6491) Prec@1 39.844 (35.875) Prec@5 65.625 (66.156) Epoch: [13][3080/5809] Time 0.415 (0.343) Data 0.355 (0.265) Loss 2.5719 (2.6491) Prec@1 35.938 (35.874) Prec@5 65.625 (66.157) Epoch: [13][3090/5809] Time 0.568 (0.343) Data 0.501 (0.265) Loss 2.5014 (2.6491) Prec@1 37.109 (35.873) Prec@5 67.578 (66.161) Epoch: [13][3100/5809] Time 0.423 (0.343) Data 0.356 (0.265) Loss 2.6166 (2.6491) Prec@1 31.641 (35.874) Prec@5 69.531 (66.163) Epoch: [13][3110/5809] Time 0.418 (0.343) Data 0.357 (0.265) Loss 2.7346 (2.6493) Prec@1 35.156 (35.867) Prec@5 64.062 (66.159) Epoch: [13][3120/5809] Time 0.449 (0.343) Data 0.390 (0.265) Loss 2.7413 (2.6495) Prec@1 34.375 (35.861) Prec@5 67.188 (66.154) Epoch: [13][3130/5809] Time 0.509 (0.343) Data 0.448 (0.265) Loss 2.3955 (2.6494) Prec@1 35.938 (35.864) Prec@5 71.094 (66.155) Epoch: [13][3140/5809] Time 0.134 (0.344) Data 0.001 (0.265) Loss 2.7937 (2.6494) Prec@1 29.297 (35.865) Prec@5 66.016 (66.157) Epoch: [13][3150/5809] Time 0.253 (0.343) Data 0.193 (0.265) Loss 2.7397 (2.6495) Prec@1 34.375 (35.860) Prec@5 66.406 (66.154) Epoch: [13][3160/5809] Time 0.132 (0.343) Data 0.049 (0.265) Loss 2.5956 (2.6495) Prec@1 36.328 (35.860) Prec@5 64.062 (66.150) Epoch: [13][3170/5809] Time 0.372 (0.343) Data 0.313 (0.265) Loss 2.7155 (2.6495) Prec@1 35.547 (35.857) Prec@5 64.453 (66.149) Epoch: [13][3180/5809] Time 0.132 (0.343) Data 0.002 (0.265) Loss 2.5836 (2.6496) Prec@1 37.109 (35.856) Prec@5 68.750 (66.149) Epoch: [13][3190/5809] Time 0.275 (0.343) Data 0.216 (0.265) Loss 2.4559 (2.6496) Prec@1 39.062 (35.855) Prec@5 70.703 (66.150) Epoch: [13][3200/5809] Time 0.133 (0.343) Data 0.001 (0.265) Loss 2.7453 (2.6496) Prec@1 31.250 (35.858) Prec@5 62.109 (66.151) Epoch: [13][3210/5809] Time 0.283 (0.343) Data 0.223 (0.265) Loss 2.6609 (2.6497) Prec@1 42.188 (35.854) Prec@5 63.672 (66.147) Epoch: [13][3220/5809] Time 0.133 (0.343) Data 0.001 (0.265) Loss 2.6459 (2.6496) Prec@1 36.328 (35.856) Prec@5 65.625 (66.151) Epoch: [13][3230/5809] Time 0.290 (0.343) Data 0.231 (0.265) Loss 2.7141 (2.6496) Prec@1 32.812 (35.852) Prec@5 64.453 (66.146) Epoch: [13][3240/5809] Time 0.397 (0.343) Data 0.337 (0.265) Loss 2.8120 (2.6495) Prec@1 32.812 (35.855) Prec@5 60.547 (66.144) Epoch: [13][3250/5809] Time 0.157 (0.343) Data 0.097 (0.265) Loss 2.7327 (2.6494) Prec@1 32.812 (35.858) Prec@5 64.844 (66.148) Epoch: [13][3260/5809] Time 0.376 (0.343) Data 0.315 (0.265) Loss 2.6894 (2.6493) Prec@1 35.938 (35.857) Prec@5 61.719 (66.148) Epoch: [13][3270/5809] Time 0.566 (0.343) Data 0.506 (0.265) Loss 2.7555 (2.6498) Prec@1 34.766 (35.850) Prec@5 64.844 (66.142) Epoch: [13][3280/5809] Time 0.310 (0.343) Data 0.250 (0.265) Loss 2.5952 (2.6498) Prec@1 35.938 (35.850) Prec@5 70.312 (66.143) Epoch: [13][3290/5809] Time 0.682 (0.343) Data 0.614 (0.265) Loss 2.4782 (2.6498) Prec@1 39.062 (35.851) Prec@5 69.922 (66.141) Epoch: [13][3300/5809] Time 0.307 (0.343) Data 0.247 (0.265) Loss 2.6622 (2.6498) Prec@1 36.719 (35.851) Prec@5 67.188 (66.139) Epoch: [13][3310/5809] Time 0.622 (0.343) Data 0.562 (0.265) Loss 2.6556 (2.6497) Prec@1 35.547 (35.851) Prec@5 66.016 (66.141) Epoch: [13][3320/5809] Time 0.218 (0.343) Data 0.158 (0.265) Loss 2.6926 (2.6497) Prec@1 35.547 (35.851) Prec@5 67.188 (66.140) Epoch: [13][3330/5809] Time 0.419 (0.343) Data 0.360 (0.265) Loss 2.8341 (2.6498) Prec@1 32.422 (35.849) Prec@5 61.719 (66.140) Epoch: [13][3340/5809] Time 0.483 (0.343) Data 0.418 (0.266) Loss 2.7210 (2.6498) Prec@1 35.156 (35.847) Prec@5 65.625 (66.139) Epoch: [13][3350/5809] Time 0.520 (0.343) Data 0.461 (0.266) Loss 2.7452 (2.6497) Prec@1 32.422 (35.851) Prec@5 67.188 (66.140) Epoch: [13][3360/5809] Time 0.323 (0.343) Data 0.263 (0.266) Loss 2.7620 (2.6497) Prec@1 32.031 (35.852) Prec@5 63.672 (66.139) Epoch: [13][3370/5809] Time 0.521 (0.343) Data 0.461 (0.266) Loss 2.7527 (2.6496) Prec@1 35.156 (35.856) Prec@5 66.406 (66.143) Epoch: [13][3380/5809] Time 0.175 (0.343) Data 0.116 (0.266) Loss 2.9085 (2.6495) Prec@1 34.766 (35.858) Prec@5 63.672 (66.144) Epoch: [13][3390/5809] Time 0.364 (0.343) Data 0.304 (0.266) Loss 2.4979 (2.6492) Prec@1 39.062 (35.863) Prec@5 69.141 (66.149) Epoch: [13][3400/5809] Time 0.284 (0.343) Data 0.217 (0.266) Loss 2.6813 (2.6491) Prec@1 36.328 (35.865) Prec@5 66.406 (66.151) Epoch: [13][3410/5809] Time 0.187 (0.343) Data 0.127 (0.266) Loss 2.6013 (2.6492) Prec@1 42.188 (35.868) Prec@5 66.797 (66.148) Epoch: [13][3420/5809] Time 0.611 (0.343) Data 0.544 (0.266) Loss 2.6252 (2.6493) Prec@1 36.328 (35.866) Prec@5 66.016 (66.148) Epoch: [13][3430/5809] Time 0.132 (0.343) Data 0.001 (0.266) Loss 2.8141 (2.6494) Prec@1 33.984 (35.863) Prec@5 62.891 (66.143) Epoch: [13][3440/5809] Time 0.612 (0.343) Data 0.542 (0.266) Loss 2.6060 (2.6494) Prec@1 36.328 (35.862) Prec@5 62.891 (66.142) Epoch: [13][3450/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.6754 (2.6493) Prec@1 35.156 (35.859) Prec@5 61.328 (66.144) Epoch: [13][3460/5809] Time 0.536 (0.343) Data 0.475 (0.266) Loss 2.6012 (2.6491) Prec@1 35.156 (35.861) Prec@5 65.234 (66.148) Epoch: [13][3470/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.5808 (2.6492) Prec@1 35.156 (35.859) Prec@5 66.016 (66.143) Epoch: [13][3480/5809] Time 0.511 (0.343) Data 0.451 (0.266) Loss 2.6387 (2.6493) Prec@1 33.203 (35.855) Prec@5 70.703 (66.143) Epoch: [13][3490/5809] Time 0.134 (0.343) Data 0.001 (0.265) Loss 2.8706 (2.6494) Prec@1 28.516 (35.854) Prec@5 62.500 (66.142) Epoch: [13][3500/5809] Time 0.239 (0.343) Data 0.171 (0.266) Loss 2.7082 (2.6495) Prec@1 34.375 (35.852) Prec@5 62.109 (66.139) Epoch: [13][3510/5809] Time 0.361 (0.343) Data 0.301 (0.266) Loss 2.7789 (2.6496) Prec@1 32.422 (35.848) Prec@5 66.406 (66.139) Epoch: [13][3520/5809] Time 0.219 (0.343) Data 0.160 (0.266) Loss 2.4152 (2.6496) Prec@1 38.281 (35.849) Prec@5 70.312 (66.138) Epoch: [13][3530/5809] Time 0.294 (0.343) Data 0.235 (0.266) Loss 2.4682 (2.6495) Prec@1 40.625 (35.854) Prec@5 72.266 (66.139) Epoch: [13][3540/5809] Time 0.213 (0.343) Data 0.154 (0.266) Loss 2.5921 (2.6496) Prec@1 38.672 (35.852) Prec@5 69.141 (66.139) Epoch: [13][3550/5809] Time 0.134 (0.343) Data 0.068 (0.266) Loss 2.7264 (2.6497) Prec@1 37.109 (35.853) Prec@5 64.844 (66.138) Epoch: [13][3560/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.7772 (2.6498) Prec@1 31.641 (35.851) Prec@5 64.062 (66.135) Epoch: [13][3570/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.5118 (2.6497) Prec@1 37.109 (35.853) Prec@5 67.969 (66.135) Epoch: [13][3580/5809] Time 0.601 (0.343) Data 0.541 (0.266) Loss 2.7955 (2.6498) Prec@1 32.422 (35.852) Prec@5 65.625 (66.134) Epoch: [13][3590/5809] Time 0.200 (0.343) Data 0.139 (0.266) Loss 2.6829 (2.6499) Prec@1 37.891 (35.851) Prec@5 66.016 (66.133) Epoch: [13][3600/5809] Time 0.884 (0.343) Data 0.824 (0.266) Loss 2.7466 (2.6499) Prec@1 33.984 (35.849) Prec@5 62.109 (66.132) Epoch: [13][3610/5809] Time 0.239 (0.343) Data 0.179 (0.266) Loss 2.8037 (2.6499) Prec@1 35.156 (35.848) Prec@5 66.016 (66.129) Epoch: [13][3620/5809] Time 0.739 (0.343) Data 0.678 (0.266) Loss 2.4647 (2.6498) Prec@1 38.672 (35.851) Prec@5 70.312 (66.132) Epoch: [13][3630/5809] Time 0.127 (0.343) Data 0.058 (0.266) Loss 2.6924 (2.6499) Prec@1 34.375 (35.848) Prec@5 62.500 (66.126) Epoch: [13][3640/5809] Time 0.665 (0.343) Data 0.605 (0.266) Loss 2.8829 (2.6500) Prec@1 33.203 (35.842) Prec@5 57.031 (66.123) Epoch: [13][3650/5809] Time 0.259 (0.343) Data 0.200 (0.266) Loss 2.5152 (2.6500) Prec@1 36.328 (35.838) Prec@5 67.578 (66.120) Epoch: [13][3660/5809] Time 0.226 (0.343) Data 0.168 (0.266) Loss 2.6579 (2.6500) Prec@1 38.281 (35.839) Prec@5 66.797 (66.121) Epoch: [13][3670/5809] Time 0.444 (0.343) Data 0.385 (0.266) Loss 2.8471 (2.6502) Prec@1 31.641 (35.837) Prec@5 60.938 (66.118) Epoch: [13][3680/5809] Time 0.250 (0.343) Data 0.189 (0.266) Loss 2.8628 (2.6503) Prec@1 29.297 (35.837) Prec@5 61.719 (66.120) Epoch: [13][3690/5809] Time 0.445 (0.343) Data 0.387 (0.266) Loss 2.5217 (2.6501) Prec@1 35.938 (35.837) Prec@5 70.703 (66.120) Epoch: [13][3700/5809] Time 0.217 (0.344) Data 0.157 (0.266) Loss 2.6207 (2.6501) Prec@1 39.062 (35.835) Prec@5 66.797 (66.122) Epoch: [13][3710/5809] Time 0.133 (0.343) Data 0.055 (0.266) Loss 2.6951 (2.6502) Prec@1 34.375 (35.836) Prec@5 62.891 (66.120) Epoch: [13][3720/5809] Time 0.237 (0.344) Data 0.178 (0.266) Loss 2.6324 (2.6501) Prec@1 38.281 (35.839) Prec@5 63.672 (66.121) Epoch: [13][3730/5809] Time 0.127 (0.343) Data 0.053 (0.266) Loss 2.6506 (2.6501) Prec@1 33.203 (35.838) Prec@5 67.188 (66.123) Epoch: [13][3740/5809] Time 0.375 (0.344) Data 0.315 (0.266) Loss 2.6882 (2.6502) Prec@1 33.203 (35.837) Prec@5 65.234 (66.120) Epoch: [13][3750/5809] Time 0.133 (0.344) Data 0.042 (0.266) Loss 2.8873 (2.6503) Prec@1 32.812 (35.833) Prec@5 64.844 (66.119) Epoch: [13][3760/5809] Time 0.131 (0.344) Data 0.006 (0.266) Loss 2.7575 (2.6502) Prec@1 31.641 (35.839) Prec@5 64.844 (66.123) Epoch: [13][3770/5809] Time 0.183 (0.343) Data 0.125 (0.266) Loss 2.5981 (2.6501) Prec@1 34.766 (35.838) Prec@5 64.844 (66.122) Epoch: [13][3780/5809] Time 0.188 (0.344) Data 0.119 (0.266) Loss 2.6514 (2.6501) Prec@1 34.766 (35.837) Prec@5 65.625 (66.120) Epoch: [13][3790/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.7761 (2.6500) Prec@1 33.203 (35.838) Prec@5 65.234 (66.121) Epoch: [13][3800/5809] Time 0.139 (0.344) Data 0.001 (0.266) Loss 2.8344 (2.6499) Prec@1 33.984 (35.842) Prec@5 65.625 (66.123) Epoch: [13][3810/5809] Time 0.177 (0.343) Data 0.117 (0.266) Loss 2.3473 (2.6499) Prec@1 42.188 (35.842) Prec@5 72.266 (66.126) Epoch: [13][3820/5809] Time 0.127 (0.344) Data 0.054 (0.266) Loss 2.7193 (2.6501) Prec@1 35.156 (35.834) Prec@5 64.844 (66.122) Epoch: [13][3830/5809] Time 0.212 (0.344) Data 0.152 (0.266) Loss 2.6194 (2.6502) Prec@1 36.328 (35.832) Prec@5 69.531 (66.122) Epoch: [13][3840/5809] Time 0.281 (0.344) Data 0.220 (0.266) Loss 2.6850 (2.6503) Prec@1 36.719 (35.830) Prec@5 65.625 (66.121) Epoch: [13][3850/5809] Time 0.209 (0.343) Data 0.150 (0.266) Loss 2.7652 (2.6503) Prec@1 36.328 (35.829) Prec@5 62.891 (66.121) Epoch: [13][3860/5809] Time 0.724 (0.344) Data 0.657 (0.266) Loss 2.7164 (2.6504) Prec@1 34.375 (35.829) Prec@5 64.844 (66.123) Epoch: [13][3870/5809] Time 0.142 (0.344) Data 0.001 (0.266) Loss 2.5388 (2.6502) Prec@1 39.062 (35.835) Prec@5 70.312 (66.128) Epoch: [13][3880/5809] Time 0.857 (0.344) Data 0.797 (0.266) Loss 2.9302 (2.6503) Prec@1 28.906 (35.833) Prec@5 58.594 (66.126) Epoch: [13][3890/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.7571 (2.6504) Prec@1 33.984 (35.828) Prec@5 62.891 (66.125) Epoch: [13][3900/5809] Time 0.803 (0.344) Data 0.736 (0.266) Loss 2.9373 (2.6505) Prec@1 29.297 (35.826) Prec@5 60.938 (66.125) Epoch: [13][3910/5809] Time 0.131 (0.344) Data 0.001 (0.266) Loss 2.5679 (2.6504) Prec@1 37.500 (35.826) Prec@5 72.266 (66.129) Epoch: [13][3920/5809] Time 0.922 (0.344) Data 0.854 (0.266) Loss 2.8062 (2.6505) Prec@1 32.812 (35.824) Prec@5 64.062 (66.126) Epoch: [13][3930/5809] Time 0.171 (0.344) Data 0.111 (0.266) Loss 2.6305 (2.6504) Prec@1 38.672 (35.827) Prec@5 67.578 (66.127) Epoch: [13][3940/5809] Time 0.834 (0.344) Data 0.775 (0.266) Loss 2.7296 (2.6505) Prec@1 34.375 (35.830) Prec@5 68.359 (66.125) Epoch: [13][3950/5809] Time 0.132 (0.343) Data 0.046 (0.266) Loss 2.5446 (2.6503) Prec@1 35.156 (35.832) Prec@5 66.016 (66.126) Epoch: [13][3960/5809] Time 0.844 (0.344) Data 0.784 (0.266) Loss 2.7683 (2.6504) Prec@1 33.594 (35.833) Prec@5 62.500 (66.127) Epoch: [13][3970/5809] Time 0.142 (0.344) Data 0.001 (0.266) Loss 2.6851 (2.6505) Prec@1 34.375 (35.831) Prec@5 66.016 (66.124) Epoch: [13][3980/5809] Time 0.854 (0.344) Data 0.787 (0.266) Loss 2.6004 (2.6505) Prec@1 37.891 (35.832) Prec@5 66.797 (66.122) Epoch: [13][3990/5809] Time 0.429 (0.344) Data 0.369 (0.266) Loss 2.8279 (2.6505) Prec@1 32.422 (35.833) Prec@5 62.891 (66.120) Epoch: [13][4000/5809] Time 0.629 (0.344) Data 0.562 (0.266) Loss 2.5508 (2.6504) Prec@1 37.109 (35.833) Prec@5 67.578 (66.124) Epoch: [13][4010/5809] Time 0.563 (0.344) Data 0.503 (0.266) Loss 2.4825 (2.6504) Prec@1 37.500 (35.834) Prec@5 68.750 (66.125) Epoch: [13][4020/5809] Time 0.701 (0.344) Data 0.641 (0.266) Loss 2.5310 (2.6504) Prec@1 37.500 (35.833) Prec@5 71.094 (66.123) Epoch: [13][4030/5809] Time 0.467 (0.344) Data 0.408 (0.266) Loss 2.8172 (2.6505) Prec@1 33.203 (35.834) Prec@5 66.406 (66.124) Epoch: [13][4040/5809] Time 0.614 (0.344) Data 0.553 (0.266) Loss 2.5016 (2.6504) Prec@1 43.750 (35.837) Prec@5 67.578 (66.124) Epoch: [13][4050/5809] Time 0.406 (0.344) Data 0.343 (0.266) Loss 2.6692 (2.6503) Prec@1 36.328 (35.836) Prec@5 66.016 (66.127) Epoch: [13][4060/5809] Time 0.404 (0.344) Data 0.345 (0.266) Loss 2.7148 (2.6502) Prec@1 35.938 (35.838) Prec@5 64.062 (66.127) Epoch: [13][4070/5809] Time 0.224 (0.343) Data 0.162 (0.266) Loss 2.5363 (2.6502) Prec@1 39.453 (35.838) Prec@5 67.188 (66.129) Epoch: [13][4080/5809] Time 0.235 (0.344) Data 0.175 (0.266) Loss 2.7275 (2.6502) Prec@1 34.375 (35.838) Prec@5 65.625 (66.129) Epoch: [13][4090/5809] Time 0.160 (0.343) Data 0.099 (0.266) Loss 2.5803 (2.6501) Prec@1 40.625 (35.837) Prec@5 67.578 (66.129) Epoch: [13][4100/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.6724 (2.6500) Prec@1 38.672 (35.839) Prec@5 64.453 (66.130) Epoch: [13][4110/5809] Time 0.126 (0.343) Data 0.056 (0.266) Loss 2.4120 (2.6499) Prec@1 40.625 (35.840) Prec@5 71.094 (66.131) Epoch: [13][4120/5809] Time 0.174 (0.344) Data 0.108 (0.266) Loss 2.8200 (2.6501) Prec@1 30.469 (35.835) Prec@5 60.938 (66.130) Epoch: [13][4130/5809] Time 0.140 (0.344) Data 0.079 (0.266) Loss 2.5253 (2.6500) Prec@1 38.672 (35.834) Prec@5 69.531 (66.131) Epoch: [13][4140/5809] Time 0.142 (0.344) Data 0.001 (0.266) Loss 2.4707 (2.6499) Prec@1 37.109 (35.838) Prec@5 69.141 (66.133) Epoch: [13][4150/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.8769 (2.6501) Prec@1 38.672 (35.837) Prec@5 59.766 (66.129) Epoch: [13][4160/5809] Time 0.141 (0.344) Data 0.001 (0.266) Loss 2.7369 (2.6501) Prec@1 30.859 (35.836) Prec@5 62.109 (66.128) Epoch: [13][4170/5809] Time 0.128 (0.343) Data 0.056 (0.266) Loss 2.5333 (2.6500) Prec@1 39.453 (35.837) Prec@5 67.969 (66.130) Epoch: [13][4180/5809] Time 0.240 (0.344) Data 0.179 (0.266) Loss 2.6729 (2.6501) Prec@1 38.672 (35.839) Prec@5 66.016 (66.128) Epoch: [13][4190/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.7473 (2.6501) Prec@1 34.375 (35.837) Prec@5 68.359 (66.129) Epoch: [13][4200/5809] Time 0.252 (0.344) Data 0.186 (0.266) Loss 2.7734 (2.6503) Prec@1 34.375 (35.833) Prec@5 64.844 (66.127) Epoch: [13][4210/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.8205 (2.6505) Prec@1 37.109 (35.831) Prec@5 61.328 (66.125) Epoch: [13][4220/5809] Time 0.153 (0.344) Data 0.091 (0.266) Loss 2.6822 (2.6505) Prec@1 38.281 (35.830) Prec@5 63.281 (66.121) Epoch: [13][4230/5809] Time 0.135 (0.344) Data 0.001 (0.266) Loss 2.4516 (2.6506) Prec@1 38.281 (35.827) Prec@5 72.266 (66.122) Epoch: [13][4240/5809] Time 0.126 (0.344) Data 0.045 (0.266) Loss 2.8909 (2.6506) Prec@1 33.203 (35.827) Prec@5 60.547 (66.119) Epoch: [13][4250/5809] Time 0.135 (0.343) Data 0.001 (0.266) Loss 2.7678 (2.6507) Prec@1 33.984 (35.826) Prec@5 65.625 (66.116) Epoch: [13][4260/5809] Time 0.210 (0.344) Data 0.151 (0.266) Loss 2.6490 (2.6508) Prec@1 35.938 (35.824) Prec@5 67.969 (66.117) Epoch: [13][4270/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.8622 (2.6507) Prec@1 29.297 (35.825) Prec@5 63.281 (66.119) Epoch: [13][4280/5809] Time 0.132 (0.344) Data 0.001 (0.266) Loss 2.5019 (2.6506) Prec@1 34.766 (35.824) Prec@5 70.703 (66.122) Epoch: [13][4290/5809] Time 0.167 (0.343) Data 0.107 (0.265) Loss 2.7631 (2.6506) Prec@1 32.812 (35.825) Prec@5 67.188 (66.123) Epoch: [13][4300/5809] Time 0.186 (0.344) Data 0.126 (0.266) Loss 2.6912 (2.6506) Prec@1 33.594 (35.821) Prec@5 64.453 (66.123) Epoch: [13][4310/5809] Time 0.128 (0.343) Data 0.048 (0.265) Loss 2.5929 (2.6507) Prec@1 36.328 (35.820) Prec@5 64.453 (66.121) Epoch: [13][4320/5809] Time 0.305 (0.344) Data 0.239 (0.266) Loss 2.5751 (2.6507) Prec@1 39.062 (35.821) Prec@5 66.406 (66.119) Epoch: [13][4330/5809] Time 0.127 (0.343) Data 0.042 (0.265) Loss 2.7063 (2.6509) Prec@1 37.500 (35.819) Prec@5 67.188 (66.117) Epoch: [13][4340/5809] Time 0.128 (0.344) Data 0.001 (0.265) Loss 2.7576 (2.6509) Prec@1 32.812 (35.819) Prec@5 65.625 (66.118) Epoch: [13][4350/5809] Time 0.135 (0.343) Data 0.001 (0.265) Loss 2.7014 (2.6508) Prec@1 32.031 (35.822) Prec@5 62.109 (66.119) Epoch: [13][4360/5809] Time 0.138 (0.344) Data 0.053 (0.265) Loss 2.7998 (2.6507) Prec@1 33.203 (35.822) Prec@5 61.719 (66.119) Epoch: [13][4370/5809] Time 0.133 (0.343) Data 0.001 (0.265) Loss 2.5696 (2.6507) Prec@1 39.844 (35.820) Prec@5 69.531 (66.121) Epoch: [13][4380/5809] Time 0.285 (0.344) Data 0.226 (0.265) Loss 2.7799 (2.6507) Prec@1 32.812 (35.822) Prec@5 62.109 (66.121) Epoch: [13][4390/5809] Time 0.133 (0.343) Data 0.049 (0.265) Loss 2.4829 (2.6507) Prec@1 37.891 (35.823) Prec@5 71.875 (66.122) Epoch: [13][4400/5809] Time 0.350 (0.344) Data 0.285 (0.265) Loss 2.4927 (2.6507) Prec@1 36.719 (35.824) Prec@5 68.359 (66.122) Epoch: [13][4410/5809] Time 0.130 (0.344) Data 0.047 (0.265) Loss 2.7653 (2.6507) Prec@1 35.547 (35.825) Prec@5 62.500 (66.123) Epoch: [13][4420/5809] Time 0.329 (0.344) Data 0.270 (0.265) Loss 2.6037 (2.6508) Prec@1 36.719 (35.824) Prec@5 67.578 (66.120) Epoch: [13][4430/5809] Time 0.272 (0.344) Data 0.214 (0.265) Loss 2.5714 (2.6507) Prec@1 36.719 (35.825) Prec@5 69.922 (66.122) Epoch: [13][4440/5809] Time 0.432 (0.344) Data 0.372 (0.265) Loss 2.6135 (2.6508) Prec@1 34.375 (35.823) Prec@5 70.703 (66.122) Epoch: [13][4450/5809] Time 0.350 (0.344) Data 0.290 (0.265) Loss 2.6421 (2.6509) Prec@1 36.328 (35.822) Prec@5 65.234 (66.122) Epoch: [13][4460/5809] Time 0.346 (0.344) Data 0.286 (0.265) Loss 2.8766 (2.6509) Prec@1 33.594 (35.821) Prec@5 64.844 (66.122) Epoch: [13][4470/5809] Time 0.164 (0.344) Data 0.104 (0.265) Loss 2.6111 (2.6510) Prec@1 37.109 (35.824) Prec@5 68.359 (66.122) Epoch: [13][4480/5809] Time 0.582 (0.344) Data 0.521 (0.265) Loss 2.5616 (2.6510) Prec@1 33.594 (35.822) Prec@5 66.406 (66.121) Epoch: [13][4490/5809] Time 0.133 (0.344) Data 0.001 (0.265) Loss 2.6616 (2.6508) Prec@1 34.375 (35.823) Prec@5 66.016 (66.125) Epoch: [13][4500/5809] Time 0.631 (0.344) Data 0.571 (0.265) Loss 2.7640 (2.6507) Prec@1 32.031 (35.822) Prec@5 62.891 (66.128) Epoch: [13][4510/5809] Time 0.226 (0.344) Data 0.168 (0.265) Loss 2.6608 (2.6508) Prec@1 34.766 (35.822) Prec@5 65.234 (66.125) Epoch: [13][4520/5809] Time 0.644 (0.344) Data 0.583 (0.265) Loss 2.7918 (2.6509) Prec@1 31.641 (35.820) Prec@5 64.453 (66.123) Epoch: [13][4530/5809] Time 0.283 (0.344) Data 0.223 (0.265) Loss 2.6591 (2.6509) Prec@1 35.156 (35.819) Prec@5 66.016 (66.124) Epoch: [13][4540/5809] Time 0.516 (0.344) Data 0.456 (0.266) Loss 2.5114 (2.6509) Prec@1 41.016 (35.819) Prec@5 69.922 (66.124) Epoch: [13][4550/5809] Time 0.134 (0.344) Data 0.061 (0.265) Loss 2.9475 (2.6510) Prec@1 30.469 (35.817) Prec@5 61.328 (66.123) Epoch: [13][4560/5809] Time 0.395 (0.344) Data 0.335 (0.266) Loss 2.7938 (2.6510) Prec@1 34.766 (35.819) Prec@5 60.938 (66.120) Epoch: [13][4570/5809] Time 0.266 (0.344) Data 0.207 (0.266) Loss 2.6354 (2.6510) Prec@1 38.672 (35.821) Prec@5 70.703 (66.121) Epoch: [13][4580/5809] Time 0.351 (0.344) Data 0.291 (0.266) Loss 2.4516 (2.6511) Prec@1 41.016 (35.821) Prec@5 70.312 (66.121) Epoch: [13][4590/5809] Time 0.131 (0.344) Data 0.053 (0.266) Loss 2.6829 (2.6510) Prec@1 33.594 (35.821) Prec@5 64.844 (66.121) Epoch: [13][4600/5809] Time 0.373 (0.344) Data 0.312 (0.266) Loss 2.6190 (2.6511) Prec@1 35.547 (35.819) Prec@5 67.188 (66.120) Epoch: [13][4610/5809] Time 0.134 (0.344) Data 0.071 (0.266) Loss 2.4856 (2.6510) Prec@1 39.453 (35.819) Prec@5 69.922 (66.121) Epoch: [13][4620/5809] Time 0.164 (0.344) Data 0.104 (0.266) Loss 2.6712 (2.6510) Prec@1 37.109 (35.820) Prec@5 67.969 (66.123) Epoch: [13][4630/5809] Time 0.194 (0.344) Data 0.133 (0.266) Loss 2.7320 (2.6510) Prec@1 35.938 (35.820) Prec@5 65.625 (66.123) Epoch: [13][4640/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.6150 (2.6512) Prec@1 37.109 (35.821) Prec@5 63.281 (66.118) Epoch: [13][4650/5809] Time 0.160 (0.344) Data 0.099 (0.266) Loss 2.7107 (2.6512) Prec@1 37.500 (35.822) Prec@5 63.281 (66.118) Epoch: [13][4660/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.4726 (2.6513) Prec@1 37.500 (35.823) Prec@5 73.438 (66.117) Epoch: [13][4670/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.7362 (2.6513) Prec@1 36.719 (35.826) Prec@5 66.797 (66.116) Epoch: [13][4680/5809] Time 0.128 (0.344) Data 0.042 (0.266) Loss 2.6559 (2.6513) Prec@1 34.375 (35.822) Prec@5 69.141 (66.118) Epoch: [13][4690/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.8345 (2.6513) Prec@1 29.688 (35.820) Prec@5 64.062 (66.119) Epoch: [13][4700/5809] Time 0.551 (0.344) Data 0.486 (0.266) Loss 2.7806 (2.6515) Prec@1 35.156 (35.820) Prec@5 66.406 (66.114) Epoch: [13][4710/5809] Time 0.166 (0.344) Data 0.106 (0.266) Loss 2.6660 (2.6514) Prec@1 35.156 (35.821) Prec@5 67.188 (66.116) Epoch: [13][4720/5809] Time 0.910 (0.344) Data 0.851 (0.266) Loss 2.6465 (2.6514) Prec@1 38.672 (35.821) Prec@5 66.016 (66.116) Epoch: [13][4730/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.4458 (2.6514) Prec@1 37.891 (35.821) Prec@5 69.922 (66.117) Epoch: [13][4740/5809] Time 0.880 (0.344) Data 0.820 (0.266) Loss 2.4681 (2.6514) Prec@1 37.109 (35.820) Prec@5 70.703 (66.115) Epoch: [13][4750/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.4053 (2.6516) Prec@1 38.672 (35.816) Prec@5 67.969 (66.111) Epoch: [13][4760/5809] Time 0.887 (0.344) Data 0.828 (0.266) Loss 2.5520 (2.6516) Prec@1 37.109 (35.816) Prec@5 69.922 (66.110) Epoch: [13][4770/5809] Time 0.132 (0.344) Data 0.043 (0.266) Loss 2.6219 (2.6516) Prec@1 35.938 (35.818) Prec@5 67.578 (66.111) Epoch: [13][4780/5809] Time 0.771 (0.344) Data 0.711 (0.266) Loss 2.6681 (2.6514) Prec@1 34.766 (35.820) Prec@5 64.062 (66.113) Epoch: [13][4790/5809] Time 0.228 (0.344) Data 0.169 (0.266) Loss 2.7189 (2.6515) Prec@1 34.766 (35.821) Prec@5 65.234 (66.110) Epoch: [13][4800/5809] Time 1.026 (0.344) Data 0.966 (0.266) Loss 2.6643 (2.6514) Prec@1 36.719 (35.820) Prec@5 62.500 (66.110) Epoch: [13][4810/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.6633 (2.6514) Prec@1 35.156 (35.820) Prec@5 63.281 (66.110) Epoch: [13][4820/5809] Time 0.828 (0.344) Data 0.770 (0.266) Loss 2.5847 (2.6515) Prec@1 35.938 (35.819) Prec@5 67.969 (66.109) Epoch: [13][4830/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.6624 (2.6516) Prec@1 38.281 (35.821) Prec@5 64.844 (66.108) Epoch: [13][4840/5809] Time 0.818 (0.344) Data 0.758 (0.266) Loss 2.8712 (2.6516) Prec@1 36.328 (35.820) Prec@5 61.719 (66.108) Epoch: [13][4850/5809] Time 0.159 (0.344) Data 0.100 (0.266) Loss 2.7139 (2.6515) Prec@1 35.156 (35.818) Prec@5 63.281 (66.107) Epoch: [13][4860/5809] Time 0.579 (0.344) Data 0.519 (0.266) Loss 2.5811 (2.6515) Prec@1 33.594 (35.818) Prec@5 67.969 (66.108) Epoch: [13][4870/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.6918 (2.6515) Prec@1 30.469 (35.814) Prec@5 65.625 (66.107) Epoch: [13][4880/5809] Time 0.794 (0.344) Data 0.735 (0.266) Loss 2.4930 (2.6516) Prec@1 38.672 (35.813) Prec@5 71.484 (66.106) Epoch: [13][4890/5809] Time 0.141 (0.344) Data 0.001 (0.266) Loss 2.5137 (2.6517) Prec@1 39.062 (35.809) Prec@5 67.969 (66.104) Epoch: [13][4900/5809] Time 0.926 (0.344) Data 0.858 (0.266) Loss 2.7364 (2.6518) Prec@1 35.547 (35.808) Prec@5 64.062 (66.101) Epoch: [13][4910/5809] Time 0.132 (0.344) Data 0.002 (0.266) Loss 2.7816 (2.6519) Prec@1 33.203 (35.806) Prec@5 66.016 (66.101) Epoch: [13][4920/5809] Time 0.950 (0.344) Data 0.883 (0.266) Loss 2.6484 (2.6519) Prec@1 37.109 (35.806) Prec@5 68.359 (66.100) Epoch: [13][4930/5809] Time 0.128 (0.344) Data 0.054 (0.265) Loss 2.5516 (2.6518) Prec@1 34.766 (35.806) Prec@5 71.484 (66.101) Epoch: [13][4940/5809] Time 0.988 (0.344) Data 0.919 (0.265) Loss 2.6068 (2.6518) Prec@1 37.109 (35.806) Prec@5 66.016 (66.102) Epoch: [13][4950/5809] Time 0.183 (0.344) Data 0.121 (0.265) Loss 2.7636 (2.6518) Prec@1 32.422 (35.804) Prec@5 64.453 (66.098) Epoch: [13][4960/5809] Time 0.796 (0.344) Data 0.736 (0.265) Loss 2.5778 (2.6519) Prec@1 36.719 (35.804) Prec@5 67.578 (66.097) Epoch: [13][4970/5809] Time 0.140 (0.344) Data 0.051 (0.265) Loss 2.6864 (2.6517) Prec@1 34.766 (35.806) Prec@5 64.844 (66.100) Epoch: [13][4980/5809] Time 0.779 (0.344) Data 0.719 (0.265) Loss 2.5792 (2.6517) Prec@1 42.578 (35.807) Prec@5 64.844 (66.101) Epoch: [13][4990/5809] Time 0.134 (0.344) Data 0.001 (0.265) Loss 2.6914 (2.6518) Prec@1 33.203 (35.805) Prec@5 66.797 (66.101) Epoch: [13][5000/5809] Time 0.855 (0.344) Data 0.795 (0.265) Loss 2.6322 (2.6518) Prec@1 40.234 (35.805) Prec@5 66.406 (66.101) Epoch: [13][5010/5809] Time 0.134 (0.344) Data 0.001 (0.265) Loss 2.6256 (2.6517) Prec@1 38.672 (35.807) Prec@5 68.359 (66.103) Epoch: [13][5020/5809] Time 0.695 (0.344) Data 0.635 (0.265) Loss 2.5745 (2.6518) Prec@1 35.938 (35.804) Prec@5 66.406 (66.101) Epoch: [13][5030/5809] Time 0.132 (0.344) Data 0.001 (0.265) Loss 2.8098 (2.6517) Prec@1 32.812 (35.806) Prec@5 60.156 (66.102) Epoch: [13][5040/5809] Time 0.743 (0.344) Data 0.682 (0.265) Loss 2.4935 (2.6517) Prec@1 37.500 (35.806) Prec@5 67.578 (66.101) Epoch: [13][5050/5809] Time 0.265 (0.344) Data 0.206 (0.265) Loss 2.5698 (2.6516) Prec@1 38.672 (35.808) Prec@5 67.578 (66.104) Epoch: [13][5060/5809] Time 0.535 (0.344) Data 0.473 (0.265) Loss 2.8840 (2.6518) Prec@1 31.641 (35.808) Prec@5 61.328 (66.103) Epoch: [13][5070/5809] Time 0.130 (0.344) Data 0.052 (0.265) Loss 2.6566 (2.6519) Prec@1 36.328 (35.805) Prec@5 65.234 (66.100) Epoch: [13][5080/5809] Time 0.132 (0.344) Data 0.001 (0.265) Loss 2.5895 (2.6520) Prec@1 36.328 (35.802) Prec@5 66.406 (66.096) Epoch: [13][5090/5809] Time 0.137 (0.344) Data 0.077 (0.265) Loss 2.6205 (2.6520) Prec@1 37.500 (35.804) Prec@5 67.188 (66.096) Epoch: [13][5100/5809] Time 0.261 (0.344) Data 0.201 (0.265) Loss 2.8437 (2.6523) Prec@1 31.250 (35.799) Prec@5 61.719 (66.090) Epoch: [13][5110/5809] Time 0.236 (0.344) Data 0.177 (0.265) Loss 2.4979 (2.6522) Prec@1 37.891 (35.801) Prec@5 71.094 (66.092) Epoch: [13][5120/5809] Time 0.360 (0.344) Data 0.300 (0.265) Loss 2.5730 (2.6522) Prec@1 37.109 (35.798) Prec@5 67.969 (66.092) Epoch: [13][5130/5809] Time 0.350 (0.344) Data 0.290 (0.265) Loss 2.5691 (2.6522) Prec@1 36.328 (35.799) Prec@5 67.969 (66.094) Epoch: [13][5140/5809] Time 0.540 (0.344) Data 0.474 (0.265) Loss 2.6002 (2.6522) Prec@1 35.938 (35.799) Prec@5 66.016 (66.094) Epoch: [13][5150/5809] Time 0.264 (0.344) Data 0.205 (0.265) Loss 2.7038 (2.6522) Prec@1 34.375 (35.797) Prec@5 64.453 (66.093) Epoch: [13][5160/5809] Time 0.600 (0.344) Data 0.533 (0.265) Loss 2.5638 (2.6521) Prec@1 37.500 (35.795) Prec@5 67.969 (66.093) Epoch: [13][5170/5809] Time 0.456 (0.344) Data 0.388 (0.265) Loss 2.7365 (2.6521) Prec@1 37.891 (35.797) Prec@5 62.500 (66.093) Epoch: [13][5180/5809] Time 0.408 (0.344) Data 0.348 (0.265) Loss 2.5874 (2.6520) Prec@1 35.156 (35.798) Prec@5 70.312 (66.096) Epoch: [13][5190/5809] Time 0.747 (0.344) Data 0.687 (0.266) Loss 2.7813 (2.6521) Prec@1 33.984 (35.797) Prec@5 62.109 (66.092) Epoch: [13][5200/5809] Time 0.352 (0.344) Data 0.292 (0.265) Loss 2.6713 (2.6521) Prec@1 38.281 (35.797) Prec@5 62.891 (66.090) Epoch: [13][5210/5809] Time 0.550 (0.344) Data 0.489 (0.266) Loss 2.3871 (2.6520) Prec@1 37.891 (35.799) Prec@5 73.438 (66.094) Epoch: [13][5220/5809] Time 0.456 (0.344) Data 0.395 (0.266) Loss 3.0006 (2.6521) Prec@1 32.031 (35.796) Prec@5 60.547 (66.093) Epoch: [13][5230/5809] Time 0.168 (0.344) Data 0.108 (0.266) Loss 2.5075 (2.6522) Prec@1 37.500 (35.793) Prec@5 68.359 (66.090) Epoch: [13][5240/5809] Time 0.192 (0.344) Data 0.132 (0.265) Loss 2.6890 (2.6522) Prec@1 34.375 (35.793) Prec@5 67.188 (66.091) Epoch: [13][5250/5809] Time 0.233 (0.344) Data 0.173 (0.266) Loss 2.5044 (2.6521) Prec@1 33.203 (35.791) Prec@5 71.094 (66.092) Epoch: [13][5260/5809] Time 0.305 (0.344) Data 0.245 (0.266) Loss 2.5369 (2.6521) Prec@1 42.188 (35.792) Prec@5 70.703 (66.093) Epoch: [13][5270/5809] Time 0.169 (0.344) Data 0.108 (0.266) Loss 2.5979 (2.6522) Prec@1 38.672 (35.792) Prec@5 67.969 (66.093) Epoch: [13][5280/5809] Time 0.131 (0.344) Data 0.053 (0.266) Loss 2.6586 (2.6523) Prec@1 37.500 (35.790) Prec@5 65.234 (66.091) Epoch: [13][5290/5809] Time 0.175 (0.344) Data 0.116 (0.266) Loss 2.4971 (2.6522) Prec@1 39.453 (35.791) Prec@5 72.656 (66.093) Epoch: [13][5300/5809] Time 0.627 (0.344) Data 0.566 (0.266) Loss 2.5951 (2.6523) Prec@1 33.984 (35.789) Prec@5 69.141 (66.093) Epoch: [13][5310/5809] Time 0.317 (0.344) Data 0.256 (0.266) Loss 2.6905 (2.6524) Prec@1 34.375 (35.786) Prec@5 66.797 (66.091) Epoch: [13][5320/5809] Time 0.769 (0.344) Data 0.710 (0.266) Loss 2.5744 (2.6524) Prec@1 37.500 (35.785) Prec@5 69.531 (66.091) Epoch: [13][5330/5809] Time 0.140 (0.344) Data 0.001 (0.266) Loss 2.8870 (2.6524) Prec@1 28.516 (35.786) Prec@5 62.109 (66.092) Epoch: [13][5340/5809] Time 0.762 (0.344) Data 0.701 (0.266) Loss 2.6816 (2.6524) Prec@1 33.203 (35.784) Prec@5 67.578 (66.093) Epoch: [13][5350/5809] Time 0.219 (0.344) Data 0.152 (0.266) Loss 2.8109 (2.6524) Prec@1 33.984 (35.781) Prec@5 61.328 (66.092) Epoch: [13][5360/5809] Time 0.735 (0.344) Data 0.674 (0.266) Loss 2.6543 (2.6524) Prec@1 36.719 (35.779) Prec@5 67.188 (66.091) Epoch: [13][5370/5809] Time 0.314 (0.344) Data 0.253 (0.266) Loss 2.3435 (2.6525) Prec@1 41.797 (35.777) Prec@5 74.219 (66.091) Epoch: [13][5380/5809] Time 0.518 (0.344) Data 0.457 (0.266) Loss 2.8322 (2.6524) Prec@1 32.812 (35.776) Prec@5 61.719 (66.093) Epoch: [13][5390/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.4606 (2.6523) Prec@1 35.938 (35.777) Prec@5 66.016 (66.094) Epoch: [13][5400/5809] Time 0.383 (0.344) Data 0.325 (0.266) Loss 2.7385 (2.6523) Prec@1 37.109 (35.778) Prec@5 62.109 (66.094) Epoch: [13][5410/5809] Time 0.130 (0.344) Data 0.047 (0.266) Loss 2.6810 (2.6524) Prec@1 35.156 (35.773) Prec@5 65.234 (66.091) Epoch: [13][5420/5809] Time 0.600 (0.344) Data 0.541 (0.266) Loss 2.7545 (2.6525) Prec@1 33.984 (35.772) Prec@5 64.453 (66.090) Epoch: [13][5430/5809] Time 0.134 (0.344) Data 0.001 (0.266) Loss 2.5017 (2.6525) Prec@1 36.719 (35.770) Prec@5 69.922 (66.091) Epoch: [13][5440/5809] Time 0.575 (0.344) Data 0.516 (0.266) Loss 2.8322 (2.6525) Prec@1 30.859 (35.769) Prec@5 63.672 (66.090) Epoch: [13][5450/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.6491 (2.6525) Prec@1 34.375 (35.768) Prec@5 67.188 (66.089) Epoch: [13][5460/5809] Time 0.556 (0.344) Data 0.492 (0.266) Loss 2.6010 (2.6525) Prec@1 39.062 (35.769) Prec@5 69.141 (66.090) Epoch: [13][5470/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.5072 (2.6527) Prec@1 35.547 (35.768) Prec@5 69.141 (66.087) Epoch: [13][5480/5809] Time 0.439 (0.344) Data 0.372 (0.266) Loss 2.6711 (2.6528) Prec@1 40.625 (35.770) Prec@5 63.672 (66.084) Epoch: [13][5490/5809] Time 0.126 (0.344) Data 0.043 (0.265) Loss 2.6306 (2.6528) Prec@1 38.281 (35.770) Prec@5 68.750 (66.083) Epoch: [13][5500/5809] Time 0.268 (0.344) Data 0.208 (0.266) Loss 2.7170 (2.6527) Prec@1 33.203 (35.770) Prec@5 64.062 (66.084) Epoch: [13][5510/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.6147 (2.6527) Prec@1 32.812 (35.771) Prec@5 66.016 (66.083) Epoch: [13][5520/5809] Time 0.322 (0.344) Data 0.262 (0.266) Loss 2.7024 (2.6528) Prec@1 35.156 (35.770) Prec@5 62.891 (66.082) Epoch: [13][5530/5809] Time 0.204 (0.344) Data 0.145 (0.266) Loss 2.4030 (2.6527) Prec@1 40.625 (35.770) Prec@5 68.750 (66.085) Epoch: [13][5540/5809] Time 0.133 (0.344) Data 0.048 (0.266) Loss 2.4992 (2.6527) Prec@1 41.797 (35.773) Prec@5 69.922 (66.088) Epoch: [13][5550/5809] Time 0.133 (0.344) Data 0.065 (0.266) Loss 2.6066 (2.6529) Prec@1 37.891 (35.770) Prec@5 69.141 (66.086) Epoch: [13][5560/5809] Time 0.133 (0.344) Data 0.049 (0.266) Loss 2.4663 (2.6529) Prec@1 35.156 (35.768) Prec@5 66.406 (66.084) Epoch: [13][5570/5809] Time 0.204 (0.344) Data 0.145 (0.266) Loss 2.9169 (2.6529) Prec@1 34.375 (35.770) Prec@5 59.766 (66.084) Epoch: [13][5580/5809] Time 0.348 (0.344) Data 0.289 (0.266) Loss 2.5759 (2.6529) Prec@1 34.375 (35.769) Prec@5 66.406 (66.085) Epoch: [13][5590/5809] Time 0.367 (0.344) Data 0.308 (0.266) Loss 2.6803 (2.6529) Prec@1 32.031 (35.768) Prec@5 61.719 (66.084) Epoch: [13][5600/5809] Time 0.717 (0.344) Data 0.658 (0.266) Loss 2.7472 (2.6530) Prec@1 33.594 (35.766) Prec@5 66.406 (66.083) Epoch: [13][5610/5809] Time 0.254 (0.344) Data 0.194 (0.266) Loss 2.7795 (2.6530) Prec@1 34.375 (35.766) Prec@5 65.625 (66.083) Epoch: [13][5620/5809] Time 0.693 (0.344) Data 0.634 (0.266) Loss 2.4560 (2.6531) Prec@1 39.062 (35.764) Prec@5 68.750 (66.080) Epoch: [13][5630/5809] Time 0.193 (0.344) Data 0.133 (0.266) Loss 2.4902 (2.6531) Prec@1 37.109 (35.764) Prec@5 70.703 (66.081) Epoch: [13][5640/5809] Time 0.981 (0.344) Data 0.922 (0.266) Loss 2.6685 (2.6531) Prec@1 36.328 (35.763) Prec@5 66.406 (66.080) Epoch: [13][5650/5809] Time 0.139 (0.344) Data 0.078 (0.266) Loss 2.6630 (2.6531) Prec@1 33.594 (35.764) Prec@5 64.062 (66.081) Epoch: [13][5660/5809] Time 0.978 (0.344) Data 0.918 (0.266) Loss 2.7386 (2.6532) Prec@1 40.625 (35.762) Prec@5 64.062 (66.078) Epoch: [13][5670/5809] Time 0.141 (0.344) Data 0.001 (0.266) Loss 2.7197 (2.6533) Prec@1 37.891 (35.761) Prec@5 68.359 (66.076) Epoch: [13][5680/5809] Time 0.977 (0.344) Data 0.909 (0.266) Loss 2.6382 (2.6532) Prec@1 35.547 (35.760) Prec@5 66.406 (66.075) Epoch: [13][5690/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.9748 (2.6533) Prec@1 32.422 (35.756) Prec@5 58.984 (66.075) Epoch: [13][5700/5809] Time 1.009 (0.344) Data 0.949 (0.266) Loss 2.4993 (2.6534) Prec@1 38.281 (35.758) Prec@5 69.922 (66.076) Epoch: [13][5710/5809] Time 0.133 (0.344) Data 0.001 (0.266) Loss 2.5084 (2.6534) Prec@1 39.453 (35.759) Prec@5 67.578 (66.076) Epoch: [13][5720/5809] Time 0.956 (0.344) Data 0.891 (0.266) Loss 2.3895 (2.6533) Prec@1 36.719 (35.757) Prec@5 70.703 (66.078) Epoch: [13][5730/5809] Time 0.129 (0.344) Data 0.054 (0.265) Loss 2.8744 (2.6534) Prec@1 35.156 (35.754) Prec@5 66.406 (66.078) Epoch: [13][5740/5809] Time 0.945 (0.344) Data 0.880 (0.265) Loss 2.8996 (2.6534) Prec@1 33.594 (35.752) Prec@5 61.328 (66.079) Epoch: [13][5750/5809] Time 0.134 (0.344) Data 0.048 (0.265) Loss 2.8026 (2.6535) Prec@1 33.594 (35.751) Prec@5 64.062 (66.079) Epoch: [13][5760/5809] Time 0.941 (0.344) Data 0.882 (0.265) Loss 2.4787 (2.6534) Prec@1 39.453 (35.753) Prec@5 67.188 (66.079) Epoch: [13][5770/5809] Time 0.133 (0.344) Data 0.001 (0.265) Loss 2.5766 (2.6534) Prec@1 36.719 (35.754) Prec@5 66.797 (66.078) Epoch: [13][5780/5809] Time 0.913 (0.344) Data 0.853 (0.265) Loss 2.6257 (2.6533) Prec@1 35.156 (35.755) Prec@5 62.891 (66.080) Epoch: [13][5790/5809] Time 0.134 (0.344) Data 0.043 (0.265) Loss 2.7338 (2.6533) Prec@1 30.469 (35.755) Prec@5 62.891 (66.082) Epoch: [13][5800/5809] Time 0.930 (0.344) Data 0.871 (0.265) Loss 2.6526 (2.6533) Prec@1 31.641 (35.754) Prec@5 62.891 (66.081) Test: [0/143] Time 1.577 (1.577) Loss 1.4971 (1.4971) Prec@1 57.031 (57.031) Prec@5 89.844 (89.844) Test: [10/143] Time 0.174 (0.357) Loss 9.6933 (8.8204) Prec@1 0.000 (7.102) Prec@5 0.000 (14.418) Test: [20/143] Time 0.785 (0.331) Loss 10.2941 (9.6129) Prec@1 0.000 (3.813) Prec@5 0.391 (8.445) Test: [30/143] Time 0.109 (0.303) Loss 12.3120 (10.1560) Prec@1 0.000 (2.596) Prec@5 0.000 (5.985) Test: [40/143] Time 0.894 (0.304) Loss 10.5483 (10.3137) Prec@1 0.391 (1.991) Prec@5 1.172 (4.745) Test: [50/143] Time 0.105 (0.289) Loss 10.3484 (10.3043) Prec@1 0.000 (1.716) Prec@5 0.391 (4.894) Test: [60/143] Time 0.699 (0.293) Loss 11.2698 (10.3882) Prec@1 0.000 (1.454) Prec@5 0.391 (4.156) Test: [70/143] Time 0.196 (0.284) Loss 9.3451 (10.4595) Prec@1 0.000 (1.276) Prec@5 0.781 (3.703) Test: [80/143] Time 0.804 (0.288) Loss 8.5647 (10.4230) Prec@1 0.000 (1.186) Prec@5 0.781 (3.549) Test: [90/143] Time 0.056 (0.283) Loss 8.5864 (10.3431) Prec@1 0.781 (1.082) Prec@5 2.344 (3.370) Test: [100/143] Time 0.777 (0.285) Loss 10.1469 (10.3112) Prec@1 0.000 (0.994) Prec@5 0.391 (3.125) Test: [110/143] Time 0.198 (0.282) Loss 11.8737 (10.2811) Prec@1 0.000 (0.940) Prec@5 0.000 (3.009) Test: [120/143] Time 0.964 (0.284) Loss 13.7237 (10.3577) Prec@1 0.000 (0.875) Prec@5 0.000 (2.831) Test: [130/143] Time 0.058 (0.279) Loss 14.0207 (10.6771) Prec@1 0.000 (0.808) Prec@5 0.000 (2.615) Test: [140/143] Time 0.803 (0.281) Loss 15.2497 (10.9674) Prec@1 0.000 (0.751) Prec@5 0.000 (2.430) * Prec@1 0.743 Prec@5 2.403 Epoch: [14][0/5809] Time 2.368 (2.368) Data 2.296 (2.296) Loss 2.4695 (2.4695) Prec@1 37.500 (37.500) Prec@5 69.922 (69.922) Epoch: [14][10/5809] Time 0.133 (0.512) Data 0.001 (0.405) Loss 2.4769 (2.6218) Prec@1 38.672 (36.080) Prec@5 72.266 (67.081) Epoch: [14][20/5809] Time 0.756 (0.452) Data 0.695 (0.353) Loss 2.4727 (2.6043) Prec@1 37.891 (35.938) Prec@5 69.922 (67.076) Epoch: [14][30/5809] Time 0.127 (0.399) Data 0.053 (0.301) Loss 2.6187 (2.5938) Prec@1 36.328 (36.341) Prec@5 67.188 (67.364) Epoch: [14][40/5809] Time 0.630 (0.395) Data 0.571 (0.301) Loss 2.3882 (2.5969) Prec@1 40.234 (36.052) Prec@5 70.703 (67.559) Epoch: [14][50/5809] Time 0.347 (0.380) Data 0.287 (0.289) Loss 2.4416 (2.5905) Prec@1 39.062 (36.412) Prec@5 69.141 (67.624) Epoch: [14][60/5809] Time 0.542 (0.378) Data 0.483 (0.290) Loss 2.2929 (2.5925) Prec@1 46.484 (36.450) Prec@5 72.266 (67.309) Epoch: [14][70/5809] Time 0.232 (0.369) Data 0.172 (0.283) Loss 2.6313 (2.5953) Prec@1 35.938 (36.394) Prec@5 64.453 (67.171) Epoch: [14][80/5809] Time 0.508 (0.368) Data 0.448 (0.283) Loss 2.6254 (2.5940) Prec@1 34.766 (36.275) Prec@5 64.062 (67.231) Epoch: [14][90/5809] Time 0.134 (0.361) Data 0.067 (0.279) Loss 2.5579 (2.5981) Prec@1 35.156 (36.259) Prec@5 67.578 (67.282) Epoch: [14][100/5809] Time 0.744 (0.365) Data 0.684 (0.282) Loss 2.4876 (2.6061) Prec@1 36.719 (36.034) Prec@5 72.266 (67.242) Epoch: [14][110/5809] Time 0.140 (0.361) Data 0.001 (0.278) Loss 2.6823 (2.6054) Prec@1 32.812 (36.089) Prec@5 65.234 (67.240) Epoch: [14][120/5809] Time 0.800 (0.362) Data 0.741 (0.277) Loss 2.6333 (2.6082) Prec@1 33.594 (36.070) Prec@5 67.188 (67.152) Epoch: [14][130/5809] Time 0.150 (0.358) Data 0.089 (0.275) Loss 2.6791 (2.6128) Prec@1 31.641 (36.045) Prec@5 66.797 (66.976) Epoch: [14][140/5809] Time 0.453 (0.358) Data 0.393 (0.277) Loss 2.3503 (2.6130) Prec@1 42.188 (36.057) Prec@5 69.922 (66.891) Epoch: [14][150/5809] Time 0.134 (0.356) Data 0.052 (0.276) Loss 2.8510 (2.6141) Prec@1 33.203 (36.126) Prec@5 60.938 (66.841) Epoch: [14][160/5809] Time 0.396 (0.356) Data 0.335 (0.276) Loss 2.6136 (2.6143) Prec@1 35.547 (36.086) Prec@5 67.188 (66.814) Epoch: [14][170/5809] Time 0.176 (0.354) Data 0.116 (0.275) Loss 2.8027 (2.6154) Prec@1 31.250 (36.072) Prec@5 67.188 (66.836) Epoch: [14][180/5809] Time 0.307 (0.354) Data 0.247 (0.276) Loss 2.4868 (2.6121) Prec@1 37.891 (36.147) Prec@5 67.578 (66.890) Epoch: [14][190/5809] Time 0.504 (0.355) Data 0.444 (0.277) Loss 2.5127 (2.6122) Prec@1 35.156 (36.193) Prec@5 68.359 (66.877) Epoch: [14][200/5809] Time 0.470 (0.354) Data 0.411 (0.276) Loss 2.5884 (2.6114) Prec@1 33.594 (36.254) Prec@5 69.141 (66.882) Epoch: [14][210/5809] Time 0.405 (0.354) Data 0.346 (0.276) Loss 2.4539 (2.6124) Prec@1 36.719 (36.280) Prec@5 70.312 (66.849) Epoch: [14][220/5809] Time 0.570 (0.354) Data 0.509 (0.276) Loss 2.8238 (2.6145) Prec@1 31.250 (36.188) Prec@5 60.156 (66.792) Epoch: [14][230/5809] Time 0.134 (0.353) Data 0.052 (0.275) Loss 2.7445 (2.6167) Prec@1 32.031 (36.174) Prec@5 66.016 (66.761) Epoch: [14][240/5809] Time 0.568 (0.353) Data 0.508 (0.276) Loss 2.6050 (2.6189) Prec@1 36.328 (36.160) Prec@5 67.188 (66.701) Epoch: [14][250/5809] Time 0.134 (0.352) Data 0.054 (0.275) Loss 2.7982 (2.6189) Prec@1 35.938 (36.183) Prec@5 61.328 (66.672) Epoch: [14][260/5809] Time 0.275 (0.352) Data 0.215 (0.276) Loss 2.7911 (2.6191) Prec@1 31.641 (36.169) Prec@5 65.234 (66.698) Epoch: [14][270/5809] Time 0.134 (0.351) Data 0.001 (0.275) Loss 2.8122 (2.6185) Prec@1 34.375 (36.201) Prec@5 66.016 (66.746) Epoch: [14][280/5809] Time 0.273 (0.351) Data 0.212 (0.275) Loss 2.7220 (2.6196) Prec@1 34.375 (36.216) Prec@5 64.453 (66.719) Epoch: [14][290/5809] Time 0.134 (0.350) Data 0.001 (0.274) Loss 2.5739 (2.6196) Prec@1 37.109 (36.203) Prec@5 69.922 (66.724) Epoch: [14][300/5809] Time 0.324 (0.350) Data 0.263 (0.274) Loss 2.6419 (2.6204) Prec@1 36.328 (36.191) Prec@5 64.844 (66.697) Epoch: [14][310/5809] Time 0.133 (0.349) Data 0.001 (0.273) Loss 2.4997 (2.6186) Prec@1 42.578 (36.236) Prec@5 68.750 (66.740) Epoch: [14][320/5809] Time 0.133 (0.349) Data 0.051 (0.273) Loss 2.6975 (2.6198) Prec@1 39.062 (36.204) Prec@5 67.969 (66.740) Epoch: [14][330/5809] Time 0.133 (0.348) Data 0.051 (0.272) Loss 2.5697 (2.6190) Prec@1 34.766 (36.198) Prec@5 68.750 (66.718) Epoch: [14][340/5809] Time 0.134 (0.349) Data 0.001 (0.272) Loss 2.4979 (2.6197) Prec@1 41.016 (36.207) Prec@5 69.141 (66.700) Epoch: [14][350/5809] Time 0.160 (0.348) Data 0.100 (0.272) Loss 2.6641 (2.6207) Prec@1 34.375 (36.198) Prec@5 65.625 (66.667) Epoch: [14][360/5809] Time 0.270 (0.348) Data 0.211 (0.273) Loss 2.3410 (2.6208) Prec@1 40.234 (36.183) Prec@5 66.797 (66.666) Epoch: [14][370/5809] Time 0.440 (0.348) Data 0.379 (0.273) Loss 2.5863 (2.6211) Prec@1 34.375 (36.162) Prec@5 68.359 (66.672) Epoch: [14][380/5809] Time 0.707 (0.349) Data 0.647 (0.273) Loss 2.6111 (2.6216) Prec@1 40.234 (36.179) Prec@5 65.625 (66.667) Epoch: [14][390/5809] Time 0.140 (0.348) Data 0.001 (0.272) Loss 2.5951 (2.6205) Prec@1 35.938 (36.158) Prec@5 66.406 (66.689) Epoch: [14][400/5809] Time 0.664 (0.349) Data 0.598 (0.273) Loss 2.6331 (2.6217) Prec@1 36.719 (36.138) Prec@5 65.625 (66.645) Epoch: [14][410/5809] Time 0.385 (0.348) Data 0.324 (0.272) Loss 2.7222 (2.6224) Prec@1 33.594 (36.120) Prec@5 66.016 (66.651) Epoch: [14][420/5809] Time 0.416 (0.349) Data 0.356 (0.273) Loss 2.7200 (2.6215) Prec@1 35.547 (36.129) Prec@5 64.844 (66.658) Epoch: [14][430/5809] Time 0.212 (0.348) Data 0.151 (0.272) Loss 2.8874 (2.6217) Prec@1 31.641 (36.132) Prec@5 61.328 (66.660) Epoch: [14][440/5809] Time 0.133 (0.348) Data 0.001 (0.272) Loss 2.5967 (2.6208) Prec@1 35.156 (36.155) Prec@5 68.750 (66.681) Epoch: [14][450/5809] Time 0.268 (0.348) Data 0.208 (0.272) Loss 2.5526 (2.6217) Prec@1 36.719 (36.151) Prec@5 68.359 (66.658) Epoch: [14][460/5809] Time 0.135 (0.348) Data 0.001 (0.272) Loss 2.5252 (2.6234) Prec@1 36.328 (36.120) Prec@5 67.578 (66.640) Epoch: [14][470/5809] Time 0.127 (0.347) Data 0.044 (0.271) Loss 2.6192 (2.6229) Prec@1 35.938 (36.139) Prec@5 67.188 (66.638) Epoch: [14][480/5809] Time 0.141 (0.348) Data 0.001 (0.272) Loss 2.4710 (2.6221) Prec@1 41.016 (36.153) Prec@5 71.094 (66.659) Epoch: [14][490/5809] Time 0.156 (0.347) Data 0.095 (0.271) Loss 2.7019 (2.6221) Prec@1 41.406 (36.142) Prec@5 66.016 (66.658) Epoch: [14][500/5809] Time 0.324 (0.347) Data 0.263 (0.271) Loss 2.8146 (2.6232) Prec@1 37.500 (36.114) Prec@5 66.016 (66.651) Epoch: [14][510/5809] Time 0.134 (0.347) Data 0.001 (0.271) Loss 2.5003 (2.6230) Prec@1 34.766 (36.115) Prec@5 71.875 (66.650) Epoch: [14][520/5809] Time 0.159 (0.347) Data 0.099 (0.271) Loss 2.4830 (2.6230) Prec@1 42.188 (36.154) Prec@5 71.484 (66.661) Epoch: [14][530/5809] Time 0.205 (0.346) Data 0.145 (0.271) Loss 2.5178 (2.6225) Prec@1 35.156 (36.170) Prec@5 65.625 (66.663) Epoch: [14][540/5809] Time 0.200 (0.346) Data 0.140 (0.271) Loss 2.5046 (2.6210) Prec@1 40.625 (36.193) Prec@5 68.750 (66.673) Epoch: [14][550/5809] Time 0.186 (0.346) Data 0.125 (0.271) Loss 2.6701 (2.6219) Prec@1 33.984 (36.181) Prec@5 65.234 (66.653) Epoch: [14][560/5809] Time 0.242 (0.346) Data 0.181 (0.271) Loss 2.4753 (2.6228) Prec@1 44.531 (36.192) Prec@5 69.531 (66.633) Epoch: [14][570/5809] Time 0.216 (0.345) Data 0.156 (0.271) Loss 2.8971 (2.6236) Prec@1 31.250 (36.182) Prec@5 60.156 (66.624) Epoch: [14][580/5809] Time 0.133 (0.346) Data 0.051 (0.271) Loss 2.5959 (2.6232) Prec@1 39.453 (36.213) Prec@5 67.578 (66.646) Epoch: [14][590/5809] Time 0.133 (0.345) Data 0.001 (0.270) Loss 2.4379 (2.6229) Prec@1 42.578 (36.232) Prec@5 71.875 (66.642) Epoch: [14][600/5809] Time 0.135 (0.346) Data 0.001 (0.271) Loss 2.7297 (2.6244) Prec@1 33.203 (36.207) Prec@5 66.016 (66.627) Epoch: [14][610/5809] Time 0.176 (0.345) Data 0.117 (0.270) Loss 2.5634 (2.6251) Prec@1 37.500 (36.190) Prec@5 67.188 (66.606) Epoch: [14][620/5809] Time 0.208 (0.345) Data 0.147 (0.270) Loss 2.5746 (2.6259) Prec@1 33.594 (36.173) Prec@5 67.969 (66.592) Epoch: [14][630/5809] Time 0.174 (0.345) Data 0.113 (0.270) Loss 2.6898 (2.6267) Prec@1 33.594 (36.148) Prec@5 60.156 (66.582) Epoch: [14][640/5809] Time 0.134 (0.345) Data 0.001 (0.270) Loss 2.4360 (2.6262) Prec@1 40.234 (36.164) Prec@5 70.312 (66.568) Epoch: [14][650/5809] Time 0.317 (0.345) Data 0.256 (0.269) Loss 2.5284 (2.6255) Prec@1 41.797 (36.167) Prec@5 66.797 (66.583) Epoch: [14][660/5809] Time 0.140 (0.345) Data 0.001 (0.270) Loss 2.7142 (2.6259) Prec@1 35.938 (36.156) Prec@5 66.797 (66.592) Epoch: [14][670/5809] Time 0.359 (0.345) Data 0.298 (0.269) Loss 2.5391 (2.6265) Prec@1 41.016 (36.144) Prec@5 68.359 (66.592) Epoch: [14][680/5809] Time 0.126 (0.345) Data 0.001 (0.269) Loss 2.4871 (2.6262) Prec@1 39.453 (36.133) Prec@5 69.141 (66.601) Epoch: [14][690/5809] Time 0.469 (0.345) Data 0.409 (0.269) Loss 2.4650 (2.6272) Prec@1 38.281 (36.093) Prec@5 71.484 (66.579) Epoch: [14][700/5809] Time 0.133 (0.345) Data 0.004 (0.269) Loss 2.8827 (2.6277) Prec@1 28.906 (36.072) Prec@5 60.156 (66.561) Epoch: [14][710/5809] Time 0.334 (0.344) Data 0.273 (0.268) Loss 2.5414 (2.6284) Prec@1 39.453 (36.074) Prec@5 67.969 (66.547) Epoch: [14][720/5809] Time 0.328 (0.345) Data 0.267 (0.268) Loss 2.6636 (2.6291) Prec@1 35.156 (36.060) Prec@5 67.188 (66.537) Epoch: [14][730/5809] Time 0.388 (0.345) Data 0.327 (0.268) Loss 2.6205 (2.6294) Prec@1 35.547 (36.053) Prec@5 65.625 (66.522) Epoch: [14][740/5809] Time 0.368 (0.345) Data 0.308 (0.268) Loss 2.7572 (2.6291) Prec@1 33.984 (36.052) Prec@5 64.062 (66.537) Epoch: [14][750/5809] Time 0.526 (0.345) Data 0.467 (0.269) Loss 2.3750 (2.6290) Prec@1 43.359 (36.049) Prec@5 69.922 (66.530) Epoch: [14][760/5809] Time 0.365 (0.344) Data 0.304 (0.269) Loss 2.4927 (2.6288) Prec@1 37.891 (36.040) Prec@5 71.094 (66.539) Epoch: [14][770/5809] Time 0.332 (0.344) Data 0.272 (0.269) Loss 2.6643 (2.6289) Prec@1 35.156 (36.052) Prec@5 65.234 (66.529) Epoch: [14][780/5809] Time 0.365 (0.344) Data 0.304 (0.269) Loss 2.5947 (2.6288) Prec@1 37.891 (36.050) Prec@5 70.312 (66.550) Epoch: [14][790/5809] Time 0.259 (0.344) Data 0.200 (0.269) Loss 2.6531 (2.6285) Prec@1 32.812 (36.045) Prec@5 68.359 (66.559) Epoch: [14][800/5809] Time 0.446 (0.344) Data 0.385 (0.269) Loss 2.4994 (2.6278) Prec@1 37.891 (36.065) Prec@5 68.750 (66.578) Epoch: [14][810/5809] Time 0.135 (0.344) Data 0.001 (0.269) Loss 2.6305 (2.6280) Prec@1 33.203 (36.051) Prec@5 66.406 (66.574) Epoch: [14][820/5809] Time 0.462 (0.344) Data 0.402 (0.269) Loss 2.6807 (2.6285) Prec@1 35.156 (36.036) Prec@5 68.359 (66.580) Epoch: [14][830/5809] Time 0.296 (0.344) Data 0.235 (0.269) Loss 2.6324 (2.6287) Prec@1 33.594 (36.040) Prec@5 65.625 (66.559) Epoch: [14][840/5809] Time 0.591 (0.344) Data 0.531 (0.269) Loss 2.5804 (2.6289) Prec@1 38.672 (36.029) Prec@5 66.797 (66.541) Epoch: [14][850/5809] Time 0.150 (0.344) Data 0.090 (0.269) Loss 2.8057 (2.6296) Prec@1 31.641 (36.010) Prec@5 66.016 (66.525) Epoch: [14][860/5809] Time 0.717 (0.344) Data 0.656 (0.269) Loss 2.4234 (2.6296) Prec@1 34.375 (36.008) Prec@5 72.266 (66.536) Epoch: [14][870/5809] Time 0.245 (0.344) Data 0.185 (0.269) Loss 2.7205 (2.6297) Prec@1 36.719 (36.016) Prec@5 66.406 (66.543) Epoch: [14][880/5809] Time 0.878 (0.344) Data 0.818 (0.269) Loss 2.4249 (2.6298) Prec@1 40.625 (36.015) Prec@5 69.922 (66.537) Epoch: [14][890/5809] Time 0.260 (0.344) Data 0.199 (0.269) Loss 2.7139 (2.6301) Prec@1 33.984 (36.009) Prec@5 67.188 (66.549) Epoch: [14][900/5809] Time 0.890 (0.344) Data 0.830 (0.269) Loss 2.4640 (2.6294) Prec@1 39.844 (36.025) Prec@5 69.141 (66.567) Epoch: [14][910/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.7105 (2.6295) Prec@1 38.672 (36.025) Prec@5 62.891 (66.566) Epoch: [14][920/5809] Time 0.890 (0.344) Data 0.823 (0.269) Loss 2.7019 (2.6294) Prec@1 32.812 (36.037) Prec@5 64.062 (66.579) Epoch: [14][930/5809] Time 0.129 (0.343) Data 0.056 (0.269) Loss 2.5851 (2.6292) Prec@1 38.672 (36.055) Prec@5 68.359 (66.577) Epoch: [14][940/5809] Time 0.767 (0.344) Data 0.707 (0.269) Loss 2.9149 (2.6291) Prec@1 35.156 (36.065) Prec@5 62.109 (66.577) Epoch: [14][950/5809] Time 0.295 (0.344) Data 0.235 (0.269) Loss 2.5509 (2.6291) Prec@1 42.188 (36.069) Prec@5 68.359 (66.586) Epoch: [14][960/5809] Time 0.327 (0.343) Data 0.267 (0.269) Loss 2.6633 (2.6292) Prec@1 34.766 (36.069) Prec@5 65.625 (66.579) Epoch: [14][970/5809] Time 0.406 (0.344) Data 0.340 (0.269) Loss 2.6730 (2.6295) Prec@1 35.938 (36.053) Prec@5 68.359 (66.572) Epoch: [14][980/5809] Time 0.639 (0.344) Data 0.579 (0.270) Loss 2.7975 (2.6295) Prec@1 30.078 (36.049) Prec@5 64.453 (66.568) Epoch: [14][990/5809] Time 0.377 (0.344) Data 0.317 (0.269) Loss 2.5385 (2.6291) Prec@1 37.109 (36.064) Prec@5 69.141 (66.577) Epoch: [14][1000/5809] Time 0.310 (0.344) Data 0.249 (0.270) Loss 2.7251 (2.6290) Prec@1 36.328 (36.057) Prec@5 65.234 (66.576) Epoch: [14][1010/5809] Time 0.127 (0.343) Data 0.052 (0.269) Loss 2.7132 (2.6284) Prec@1 34.766 (36.073) Prec@5 67.578 (66.595) Epoch: [14][1020/5809] Time 0.305 (0.343) Data 0.245 (0.270) Loss 2.8698 (2.6295) Prec@1 35.156 (36.059) Prec@5 61.328 (66.570) Epoch: [14][1030/5809] Time 0.133 (0.343) Data 0.052 (0.270) Loss 2.6604 (2.6290) Prec@1 32.812 (36.061) Prec@5 67.969 (66.581) Epoch: [14][1040/5809] Time 0.133 (0.344) Data 0.001 (0.270) Loss 2.5363 (2.6287) Prec@1 42.188 (36.080) Prec@5 66.406 (66.590) Epoch: [14][1050/5809] Time 0.133 (0.344) Data 0.001 (0.269) Loss 2.8187 (2.6288) Prec@1 31.641 (36.084) Prec@5 64.453 (66.587) Epoch: [14][1060/5809] Time 0.374 (0.344) Data 0.307 (0.270) Loss 2.4886 (2.6292) Prec@1 37.891 (36.092) Prec@5 68.750 (66.570) Epoch: [14][1070/5809] Time 0.131 (0.343) Data 0.052 (0.269) Loss 2.6959 (2.6291) Prec@1 33.594 (36.096) Prec@5 64.844 (66.567) Epoch: [14][1080/5809] Time 0.139 (0.344) Data 0.046 (0.269) Loss 2.8357 (2.6297) Prec@1 35.547 (36.077) Prec@5 62.891 (66.562) Epoch: [14][1090/5809] Time 0.133 (0.343) Data 0.053 (0.269) Loss 2.6660 (2.6295) Prec@1 34.375 (36.074) Prec@5 63.672 (66.566) Epoch: [14][1100/5809] Time 0.175 (0.344) Data 0.114 (0.269) Loss 2.5826 (2.6298) Prec@1 38.672 (36.082) Prec@5 71.094 (66.553) Epoch: [14][1110/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.7827 (2.6300) Prec@1 33.984 (36.081) Prec@5 64.453 (66.543) Epoch: [14][1120/5809] Time 0.133 (0.344) Data 0.001 (0.269) Loss 2.4260 (2.6297) Prec@1 39.062 (36.093) Prec@5 69.922 (66.536) Epoch: [14][1130/5809] Time 0.126 (0.343) Data 0.055 (0.269) Loss 2.7244 (2.6294) Prec@1 34.375 (36.101) Prec@5 65.234 (66.541) Epoch: [14][1140/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.7682 (2.6293) Prec@1 32.031 (36.105) Prec@5 61.328 (66.553) Epoch: [14][1150/5809] Time 0.135 (0.343) Data 0.001 (0.269) Loss 2.4457 (2.6299) Prec@1 40.234 (36.090) Prec@5 71.875 (66.539) Epoch: [14][1160/5809] Time 0.175 (0.344) Data 0.114 (0.269) Loss 2.6775 (2.6298) Prec@1 35.156 (36.093) Prec@5 62.500 (66.542) Epoch: [14][1170/5809] Time 0.134 (0.344) Data 0.001 (0.269) Loss 2.6530 (2.6296) Prec@1 34.766 (36.098) Prec@5 64.453 (66.543) Epoch: [14][1180/5809] Time 0.138 (0.343) Data 0.076 (0.269) Loss 2.5460 (2.6299) Prec@1 37.500 (36.093) Prec@5 69.141 (66.547) Epoch: [14][1190/5809] Time 0.163 (0.343) Data 0.104 (0.269) Loss 2.7289 (2.6304) Prec@1 31.250 (36.083) Prec@5 66.016 (66.541) Epoch: [14][1200/5809] Time 0.134 (0.343) Data 0.051 (0.269) Loss 2.4819 (2.6302) Prec@1 37.891 (36.080) Prec@5 69.531 (66.538) Epoch: [14][1210/5809] Time 0.344 (0.343) Data 0.284 (0.269) Loss 2.5792 (2.6297) Prec@1 37.109 (36.097) Prec@5 70.703 (66.547) Epoch: [14][1220/5809] Time 0.136 (0.343) Data 0.075 (0.269) Loss 2.7862 (2.6299) Prec@1 32.422 (36.097) Prec@5 61.328 (66.538) Epoch: [14][1230/5809] Time 0.133 (0.343) Data 0.070 (0.269) Loss 2.6081 (2.6296) Prec@1 39.844 (36.103) Prec@5 66.016 (66.542) Epoch: [14][1240/5809] Time 0.200 (0.343) Data 0.141 (0.269) Loss 2.7031 (2.6295) Prec@1 33.594 (36.114) Prec@5 66.016 (66.547) Epoch: [14][1250/5809] Time 0.341 (0.343) Data 0.280 (0.269) Loss 2.5961 (2.6296) Prec@1 38.281 (36.110) Prec@5 67.578 (66.544) Epoch: [14][1260/5809] Time 0.181 (0.343) Data 0.121 (0.269) Loss 2.6067 (2.6292) Prec@1 41.406 (36.125) Prec@5 66.406 (66.555) Epoch: [14][1270/5809] Time 0.140 (0.343) Data 0.052 (0.269) Loss 2.4475 (2.6289) Prec@1 43.359 (36.140) Prec@5 67.188 (66.557) Epoch: [14][1280/5809] Time 0.132 (0.343) Data 0.051 (0.269) Loss 2.6459 (2.6290) Prec@1 35.156 (36.134) Prec@5 63.281 (66.557) Epoch: [14][1290/5809] Time 0.213 (0.344) Data 0.147 (0.269) Loss 2.7738 (2.6291) Prec@1 31.641 (36.138) Prec@5 63.281 (66.552) Epoch: [14][1300/5809] Time 0.243 (0.343) Data 0.182 (0.268) Loss 2.5473 (2.6293) Prec@1 33.594 (36.122) Prec@5 69.922 (66.552) Epoch: [14][1310/5809] Time 0.177 (0.344) Data 0.110 (0.269) Loss 2.6691 (2.6293) Prec@1 35.938 (36.118) Prec@5 67.188 (66.546) Epoch: [14][1320/5809] Time 0.128 (0.343) Data 0.054 (0.268) Loss 2.5679 (2.6291) Prec@1 37.109 (36.125) Prec@5 65.234 (66.553) Epoch: [14][1330/5809] Time 0.139 (0.344) Data 0.001 (0.269) Loss 2.4468 (2.6295) Prec@1 39.844 (36.109) Prec@5 70.312 (66.541) Epoch: [14][1340/5809] Time 0.135 (0.343) Data 0.001 (0.268) Loss 2.5670 (2.6302) Prec@1 37.500 (36.099) Prec@5 66.406 (66.532) Epoch: [14][1350/5809] Time 0.129 (0.344) Data 0.045 (0.268) Loss 2.7546 (2.6299) Prec@1 37.891 (36.104) Prec@5 65.625 (66.546) Epoch: [14][1360/5809] Time 0.189 (0.343) Data 0.128 (0.268) Loss 2.7139 (2.6298) Prec@1 31.641 (36.104) Prec@5 61.719 (66.546) Epoch: [14][1370/5809] Time 0.128 (0.344) Data 0.001 (0.268) Loss 2.7122 (2.6300) Prec@1 38.672 (36.098) Prec@5 66.016 (66.545) Epoch: [14][1380/5809] Time 0.223 (0.343) Data 0.162 (0.267) Loss 2.7379 (2.6301) Prec@1 35.156 (36.098) Prec@5 63.281 (66.544) Epoch: [14][1390/5809] Time 0.130 (0.343) Data 0.001 (0.267) Loss 2.5815 (2.6301) Prec@1 37.109 (36.096) Prec@5 64.453 (66.540) Epoch: [14][1400/5809] Time 0.347 (0.343) Data 0.289 (0.267) Loss 2.7408 (2.6303) Prec@1 31.250 (36.087) Prec@5 67.578 (66.532) Epoch: [14][1410/5809] Time 0.242 (0.343) Data 0.181 (0.267) Loss 2.8038 (2.6303) Prec@1 33.594 (36.075) Prec@5 62.109 (66.529) Epoch: [14][1420/5809] Time 0.181 (0.343) Data 0.120 (0.267) Loss 2.6205 (2.6301) Prec@1 36.719 (36.079) Prec@5 66.797 (66.531) Epoch: [14][1430/5809] Time 0.128 (0.343) Data 0.051 (0.267) Loss 2.6640 (2.6301) Prec@1 36.719 (36.085) Prec@5 62.109 (66.527) Epoch: [14][1440/5809] Time 0.365 (0.343) Data 0.305 (0.267) Loss 2.6205 (2.6304) Prec@1 34.766 (36.077) Prec@5 66.797 (66.515) Epoch: [14][1450/5809] Time 0.140 (0.343) Data 0.001 (0.267) Loss 2.7271 (2.6304) Prec@1 33.984 (36.076) Prec@5 62.891 (66.505) Epoch: [14][1460/5809] Time 0.555 (0.343) Data 0.495 (0.267) Loss 2.6503 (2.6304) Prec@1 36.719 (36.073) Prec@5 65.625 (66.505) Epoch: [14][1470/5809] Time 0.173 (0.343) Data 0.113 (0.267) Loss 2.9297 (2.6308) Prec@1 32.812 (36.064) Prec@5 59.766 (66.494) Epoch: [14][1480/5809] Time 0.575 (0.343) Data 0.515 (0.267) Loss 2.6255 (2.6309) Prec@1 37.500 (36.075) Prec@5 66.406 (66.489) Epoch: [14][1490/5809] Time 0.290 (0.343) Data 0.229 (0.267) Loss 2.6165 (2.6310) Prec@1 37.109 (36.070) Prec@5 67.188 (66.481) Epoch: [14][1500/5809] Time 0.525 (0.343) Data 0.466 (0.267) Loss 2.8956 (2.6314) Prec@1 30.078 (36.061) Prec@5 60.156 (66.476) Epoch: [14][1510/5809] Time 0.233 (0.343) Data 0.172 (0.267) Loss 2.7605 (2.6318) Prec@1 27.344 (36.054) Prec@5 66.016 (66.468) Epoch: [14][1520/5809] Time 0.381 (0.343) Data 0.320 (0.267) Loss 2.8177 (2.6323) Prec@1 32.031 (36.040) Prec@5 61.719 (66.460) Epoch: [14][1530/5809] Time 0.625 (0.344) Data 0.565 (0.268) Loss 2.7056 (2.6324) Prec@1 38.672 (36.040) Prec@5 65.234 (66.458) Epoch: [14][1540/5809] Time 0.541 (0.344) Data 0.481 (0.268) Loss 2.5931 (2.6325) Prec@1 35.547 (36.040) Prec@5 69.141 (66.463) Epoch: [14][1550/5809] Time 0.596 (0.343) Data 0.535 (0.267) Loss 2.6523 (2.6327) Prec@1 35.938 (36.042) Prec@5 64.453 (66.468) Epoch: [14][1560/5809] Time 0.429 (0.343) Data 0.369 (0.267) Loss 2.4686 (2.6326) Prec@1 39.062 (36.052) Prec@5 68.359 (66.471) Epoch: [14][1570/5809] Time 0.707 (0.343) Data 0.640 (0.268) Loss 2.5606 (2.6325) Prec@1 37.500 (36.052) Prec@5 68.750 (66.476) Epoch: [14][1580/5809] Time 0.364 (0.343) Data 0.303 (0.267) Loss 2.5090 (2.6329) Prec@1 34.766 (36.045) Prec@5 69.922 (66.460) Epoch: [14][1590/5809] Time 0.680 (0.344) Data 0.620 (0.268) Loss 2.5985 (2.6327) Prec@1 40.625 (36.053) Prec@5 67.578 (66.471) Epoch: [14][1600/5809] Time 0.407 (0.344) Data 0.346 (0.268) Loss 2.5420 (2.6327) Prec@1 37.891 (36.058) Prec@5 71.094 (66.477) Epoch: [14][1610/5809] Time 0.591 (0.344) Data 0.525 (0.268) Loss 2.6736 (2.6324) Prec@1 34.766 (36.059) Prec@5 65.625 (66.485) Epoch: [14][1620/5809] Time 0.237 (0.343) Data 0.177 (0.268) Loss 2.7662 (2.6324) Prec@1 33.203 (36.062) Prec@5 67.188 (66.491) Epoch: [14][1630/5809] Time 0.448 (0.343) Data 0.387 (0.268) Loss 2.6189 (2.6323) Prec@1 38.672 (36.062) Prec@5 67.188 (66.498) Epoch: [14][1640/5809] Time 0.200 (0.343) Data 0.139 (0.268) Loss 2.4889 (2.6323) Prec@1 38.672 (36.057) Prec@5 69.922 (66.496) Epoch: [14][1650/5809] Time 0.501 (0.343) Data 0.440 (0.268) Loss 2.5233 (2.6325) Prec@1 39.062 (36.063) Prec@5 66.406 (66.489) Epoch: [14][1660/5809] Time 0.243 (0.343) Data 0.182 (0.268) Loss 2.5224 (2.6322) Prec@1 40.625 (36.073) Prec@5 67.188 (66.496) Epoch: [14][1670/5809] Time 0.269 (0.343) Data 0.210 (0.268) Loss 2.5421 (2.6323) Prec@1 37.891 (36.076) Prec@5 66.406 (66.491) Epoch: [14][1680/5809] Time 0.311 (0.343) Data 0.245 (0.268) Loss 2.7381 (2.6324) Prec@1 30.469 (36.078) Prec@5 67.969 (66.481) Epoch: [14][1690/5809] Time 0.293 (0.343) Data 0.232 (0.268) Loss 2.5828 (2.6323) Prec@1 39.844 (36.079) Prec@5 70.703 (66.483) Epoch: [14][1700/5809] Time 0.493 (0.343) Data 0.431 (0.268) Loss 2.5557 (2.6328) Prec@1 36.719 (36.071) Prec@5 70.312 (66.473) Epoch: [14][1710/5809] Time 0.189 (0.343) Data 0.128 (0.268) Loss 2.5315 (2.6331) Prec@1 35.938 (36.066) Prec@5 68.750 (66.467) Epoch: [14][1720/5809] Time 0.398 (0.343) Data 0.337 (0.268) Loss 2.5429 (2.6331) Prec@1 41.406 (36.068) Prec@5 70.703 (66.470) Epoch: [14][1730/5809] Time 0.277 (0.343) Data 0.216 (0.268) Loss 2.6886 (2.6330) Prec@1 30.859 (36.071) Prec@5 65.625 (66.476) Epoch: [14][1740/5809] Time 0.370 (0.343) Data 0.309 (0.268) Loss 2.7759 (2.6330) Prec@1 31.641 (36.070) Prec@5 62.500 (66.476) Epoch: [14][1750/5809] Time 0.428 (0.343) Data 0.368 (0.268) Loss 2.5089 (2.6328) Prec@1 36.328 (36.065) Prec@5 67.188 (66.479) Epoch: [14][1760/5809] Time 0.263 (0.343) Data 0.203 (0.268) Loss 2.5533 (2.6327) Prec@1 39.062 (36.068) Prec@5 66.016 (66.479) Epoch: [14][1770/5809] Time 0.453 (0.343) Data 0.393 (0.268) Loss 2.8021 (2.6329) Prec@1 32.422 (36.063) Prec@5 62.891 (66.475) Epoch: [14][1780/5809] Time 0.494 (0.343) Data 0.433 (0.268) Loss 2.4985 (2.6327) Prec@1 35.938 (36.066) Prec@5 67.188 (66.479) Epoch: [14][1790/5809] Time 0.128 (0.343) Data 0.053 (0.268) Loss 2.7535 (2.6324) Prec@1 33.203 (36.078) Prec@5 65.625 (66.484) Epoch: [14][1800/5809] Time 0.681 (0.343) Data 0.620 (0.268) Loss 2.4751 (2.6325) Prec@1 37.891 (36.072) Prec@5 70.312 (66.475) Epoch: [14][1810/5809] Time 0.201 (0.343) Data 0.140 (0.268) Loss 2.3497 (2.6325) Prec@1 35.938 (36.068) Prec@5 73.438 (66.477) Epoch: [14][1820/5809] Time 0.680 (0.343) Data 0.612 (0.268) Loss 2.6993 (2.6324) Prec@1 37.109 (36.074) Prec@5 66.797 (66.481) Epoch: [14][1830/5809] Time 0.154 (0.343) Data 0.093 (0.268) Loss 2.7701 (2.6325) Prec@1 33.984 (36.070) Prec@5 60.938 (66.476) Epoch: [14][1840/5809] Time 0.667 (0.343) Data 0.600 (0.268) Loss 2.5587 (2.6325) Prec@1 37.109 (36.071) Prec@5 64.453 (66.477) Epoch: [14][1850/5809] Time 0.133 (0.343) Data 0.001 (0.268) Loss 2.6111 (2.6324) Prec@1 37.109 (36.073) Prec@5 65.234 (66.481) Epoch: [14][1860/5809] Time 0.688 (0.343) Data 0.628 (0.268) Loss 2.5436 (2.6323) Prec@1 37.109 (36.073) Prec@5 66.406 (66.484) Epoch: [14][1870/5809] Time 0.126 (0.343) Data 0.053 (0.268) Loss 2.6191 (2.6325) Prec@1 33.203 (36.067) Prec@5 64.844 (66.482) Epoch: [14][1880/5809] Time 0.889 (0.343) Data 0.828 (0.268) Loss 2.6661 (2.6325) Prec@1 32.422 (36.059) Prec@5 65.234 (66.485) Epoch: [14][1890/5809] Time 0.133 (0.343) Data 0.051 (0.268) Loss 2.4030 (2.6324) Prec@1 42.188 (36.056) Prec@5 71.094 (66.486) Epoch: [14][1900/5809] Time 0.752 (0.343) Data 0.691 (0.268) Loss 2.6157 (2.6325) Prec@1 40.234 (36.055) Prec@5 67.578 (66.481) Epoch: [14][1910/5809] Time 0.137 (0.343) Data 0.077 (0.268) Loss 2.8482 (2.6327) Prec@1 33.594 (36.060) Prec@5 63.672 (66.477) Epoch: [14][1920/5809] Time 0.561 (0.343) Data 0.500 (0.268) Loss 2.8093 (2.6329) Prec@1 32.422 (36.054) Prec@5 62.500 (66.473) Epoch: [14][1930/5809] Time 0.133 (0.343) Data 0.051 (0.268) Loss 2.4737 (2.6329) Prec@1 38.672 (36.055) Prec@5 71.094 (66.470) Epoch: [14][1940/5809] Time 0.527 (0.343) Data 0.466 (0.268) Loss 2.8814 (2.6331) Prec@1 32.031 (36.052) Prec@5 63.281 (66.459) Epoch: [14][1950/5809] Time 0.130 (0.343) Data 0.042 (0.268) Loss 2.8758 (2.6332) Prec@1 30.469 (36.057) Prec@5 60.938 (66.455) Epoch: [14][1960/5809] Time 0.333 (0.343) Data 0.273 (0.268) Loss 2.5023 (2.6329) Prec@1 39.453 (36.063) Prec@5 70.703 (66.460) Epoch: [14][1970/5809] Time 0.133 (0.343) Data 0.001 (0.268) Loss 2.6545 (2.6327) Prec@1 37.109 (36.065) Prec@5 64.844 (66.459) Epoch: [14][1980/5809] Time 0.498 (0.343) Data 0.438 (0.268) Loss 2.5950 (2.6325) Prec@1 41.797 (36.069) Prec@5 67.969 (66.458) Epoch: [14][1990/5809] Time 0.175 (0.343) Data 0.114 (0.268) Loss 2.6486 (2.6328) Prec@1 37.500 (36.063) Prec@5 65.625 (66.449) Epoch: [14][2000/5809] Time 0.425 (0.343) Data 0.366 (0.268) Loss 2.6081 (2.6328) Prec@1 39.062 (36.068) Prec@5 64.062 (66.448) Epoch: [14][2010/5809] Time 0.399 (0.343) Data 0.338 (0.268) Loss 2.5591 (2.6326) Prec@1 38.281 (36.068) Prec@5 67.188 (66.453) Epoch: [14][2020/5809] Time 0.332 (0.343) Data 0.271 (0.268) Loss 2.5953 (2.6327) Prec@1 33.594 (36.065) Prec@5 69.922 (66.451) Epoch: [14][2030/5809] Time 0.540 (0.343) Data 0.478 (0.268) Loss 2.4956 (2.6325) Prec@1 36.328 (36.075) Prec@5 70.703 (66.451) Epoch: [14][2040/5809] Time 0.326 (0.343) Data 0.267 (0.268) Loss 2.8804 (2.6329) Prec@1 28.516 (36.068) Prec@5 64.453 (66.444) Epoch: [14][2050/5809] Time 0.378 (0.343) Data 0.319 (0.268) Loss 2.4437 (2.6323) Prec@1 42.578 (36.081) Prec@5 69.531 (66.451) Epoch: [14][2060/5809] Time 0.405 (0.343) Data 0.345 (0.268) Loss 2.7148 (2.6324) Prec@1 33.594 (36.080) Prec@5 64.453 (66.449) Epoch: [14][2070/5809] Time 0.316 (0.343) Data 0.256 (0.269) Loss 2.4445 (2.6326) Prec@1 41.406 (36.079) Prec@5 70.703 (66.443) Epoch: [14][2080/5809] Time 0.279 (0.343) Data 0.217 (0.269) Loss 2.7286 (2.6326) Prec@1 35.938 (36.081) Prec@5 63.672 (66.441) Epoch: [14][2090/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.6424 (2.6325) Prec@1 35.156 (36.082) Prec@5 66.016 (66.440) Epoch: [14][2100/5809] Time 0.249 (0.343) Data 0.189 (0.269) Loss 2.6323 (2.6325) Prec@1 38.672 (36.088) Prec@5 65.234 (66.441) Epoch: [14][2110/5809] Time 0.283 (0.343) Data 0.222 (0.269) Loss 2.3798 (2.6324) Prec@1 42.578 (36.090) Prec@5 71.875 (66.440) Epoch: [14][2120/5809] Time 0.128 (0.343) Data 0.050 (0.268) Loss 2.5377 (2.6323) Prec@1 37.109 (36.092) Prec@5 69.531 (66.444) Epoch: [14][2130/5809] Time 0.219 (0.343) Data 0.159 (0.269) Loss 2.6774 (2.6323) Prec@1 32.422 (36.090) Prec@5 64.844 (66.443) Epoch: [14][2140/5809] Time 0.134 (0.343) Data 0.052 (0.268) Loss 2.4962 (2.6327) Prec@1 41.016 (36.078) Prec@5 71.094 (66.437) Epoch: [14][2150/5809] Time 0.137 (0.343) Data 0.075 (0.269) Loss 2.6944 (2.6331) Prec@1 30.859 (36.067) Prec@5 65.234 (66.423) Epoch: [14][2160/5809] Time 0.179 (0.343) Data 0.117 (0.268) Loss 2.8285 (2.6331) Prec@1 33.594 (36.066) Prec@5 64.453 (66.424) Epoch: [14][2170/5809] Time 0.134 (0.343) Data 0.067 (0.269) Loss 2.5349 (2.6330) Prec@1 37.500 (36.063) Prec@5 69.531 (66.431) Epoch: [14][2180/5809] Time 0.463 (0.343) Data 0.404 (0.269) Loss 2.8620 (2.6331) Prec@1 31.641 (36.067) Prec@5 61.328 (66.429) Epoch: [14][2190/5809] Time 0.132 (0.343) Data 0.051 (0.269) Loss 2.6863 (2.6330) Prec@1 34.375 (36.064) Prec@5 64.062 (66.431) Epoch: [14][2200/5809] Time 0.483 (0.343) Data 0.423 (0.269) Loss 2.8320 (2.6331) Prec@1 30.859 (36.063) Prec@5 62.891 (66.429) Epoch: [14][2210/5809] Time 0.134 (0.343) Data 0.055 (0.269) Loss 2.5277 (2.6328) Prec@1 37.109 (36.071) Prec@5 71.875 (66.438) Epoch: [14][2220/5809] Time 0.220 (0.343) Data 0.159 (0.269) Loss 2.7171 (2.6328) Prec@1 31.250 (36.069) Prec@5 65.234 (66.439) Epoch: [14][2230/5809] Time 0.307 (0.343) Data 0.248 (0.269) Loss 2.5050 (2.6328) Prec@1 37.109 (36.070) Prec@5 68.750 (66.441) Epoch: [14][2240/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.4750 (2.6329) Prec@1 41.016 (36.070) Prec@5 70.703 (66.440) Epoch: [14][2250/5809] Time 0.359 (0.343) Data 0.299 (0.269) Loss 2.5605 (2.6330) Prec@1 35.938 (36.070) Prec@5 67.188 (66.438) Epoch: [14][2260/5809] Time 0.141 (0.343) Data 0.001 (0.269) Loss 2.6306 (2.6331) Prec@1 33.203 (36.068) Prec@5 64.453 (66.433) Epoch: [14][2270/5809] Time 0.362 (0.343) Data 0.303 (0.268) Loss 2.6805 (2.6332) Prec@1 34.766 (36.070) Prec@5 67.969 (66.433) Epoch: [14][2280/5809] Time 0.141 (0.343) Data 0.001 (0.268) Loss 2.5653 (2.6331) Prec@1 35.156 (36.069) Prec@5 68.750 (66.435) Epoch: [14][2290/5809] Time 0.354 (0.343) Data 0.293 (0.268) Loss 2.6293 (2.6331) Prec@1 38.281 (36.070) Prec@5 69.141 (66.431) Epoch: [14][2300/5809] Time 0.237 (0.343) Data 0.176 (0.268) Loss 2.6283 (2.6332) Prec@1 37.500 (36.066) Prec@5 68.750 (66.435) Epoch: [14][2310/5809] Time 0.134 (0.343) Data 0.001 (0.268) Loss 2.7023 (2.6333) Prec@1 36.328 (36.064) Prec@5 62.500 (66.433) Epoch: [14][2320/5809] Time 0.134 (0.343) Data 0.050 (0.268) Loss 2.6537 (2.6336) Prec@1 36.328 (36.063) Prec@5 64.844 (66.426) Epoch: [14][2330/5809] Time 0.285 (0.343) Data 0.224 (0.268) Loss 2.6667 (2.6337) Prec@1 35.156 (36.063) Prec@5 66.406 (66.426) Epoch: [14][2340/5809] Time 0.133 (0.343) Data 0.051 (0.268) Loss 2.5898 (2.6340) Prec@1 37.891 (36.058) Prec@5 67.578 (66.419) Epoch: [14][2350/5809] Time 0.299 (0.343) Data 0.238 (0.268) Loss 2.7162 (2.6340) Prec@1 31.250 (36.060) Prec@5 64.844 (66.417) Epoch: [14][2360/5809] Time 0.133 (0.343) Data 0.001 (0.268) Loss 2.7018 (2.6341) Prec@1 36.719 (36.051) Prec@5 63.672 (66.412) Epoch: [14][2370/5809] Time 0.551 (0.343) Data 0.490 (0.268) Loss 2.6913 (2.6340) Prec@1 34.766 (36.049) Prec@5 65.625 (66.414) Epoch: [14][2380/5809] Time 0.328 (0.343) Data 0.268 (0.268) Loss 2.7944 (2.6342) Prec@1 32.031 (36.048) Prec@5 65.625 (66.409) Epoch: [14][2390/5809] Time 0.272 (0.343) Data 0.211 (0.268) Loss 2.5593 (2.6341) Prec@1 36.328 (36.047) Prec@5 67.188 (66.412) Epoch: [14][2400/5809] Time 0.568 (0.343) Data 0.507 (0.268) Loss 2.7317 (2.6340) Prec@1 32.031 (36.048) Prec@5 61.328 (66.411) Epoch: [14][2410/5809] Time 0.135 (0.343) Data 0.001 (0.268) Loss 2.3350 (2.6339) Prec@1 42.578 (36.052) Prec@5 71.875 (66.409) Epoch: [14][2420/5809] Time 0.716 (0.343) Data 0.655 (0.268) Loss 2.4885 (2.6342) Prec@1 37.109 (36.048) Prec@5 68.750 (66.403) Epoch: [14][2430/5809] Time 0.134 (0.343) Data 0.001 (0.268) Loss 2.6754 (2.6343) Prec@1 35.547 (36.048) Prec@5 62.500 (66.396) Epoch: [14][2440/5809] Time 0.795 (0.343) Data 0.729 (0.268) Loss 2.7279 (2.6347) Prec@1 37.109 (36.047) Prec@5 64.062 (66.390) Epoch: [14][2450/5809] Time 0.321 (0.343) Data 0.262 (0.268) Loss 2.4859 (2.6345) Prec@1 37.500 (36.052) Prec@5 71.484 (66.390) Epoch: [14][2460/5809] Time 0.871 (0.343) Data 0.804 (0.268) Loss 2.7940 (2.6345) Prec@1 33.203 (36.056) Prec@5 61.328 (66.388) Epoch: [14][2470/5809] Time 0.245 (0.343) Data 0.186 (0.268) Loss 2.8373 (2.6345) Prec@1 31.250 (36.057) Prec@5 64.453 (66.390) Epoch: [14][2480/5809] Time 0.822 (0.343) Data 0.762 (0.268) Loss 2.5498 (2.6345) Prec@1 39.844 (36.059) Prec@5 67.188 (66.387) Epoch: [14][2490/5809] Time 0.133 (0.343) Data 0.053 (0.268) Loss 2.4707 (2.6347) Prec@1 37.891 (36.057) Prec@5 70.312 (66.384) Epoch: [14][2500/5809] Time 0.921 (0.343) Data 0.861 (0.268) Loss 2.7468 (2.6347) Prec@1 34.375 (36.054) Prec@5 62.891 (66.384) Epoch: [14][2510/5809] Time 0.133 (0.343) Data 0.001 (0.268) Loss 2.7477 (2.6349) Prec@1 36.719 (36.056) Prec@5 64.453 (66.378) Epoch: [14][2520/5809] Time 0.538 (0.343) Data 0.478 (0.268) Loss 2.4446 (2.6350) Prec@1 37.891 (36.050) Prec@5 72.266 (66.373) Epoch: [14][2530/5809] Time 0.149 (0.343) Data 0.088 (0.268) Loss 2.6608 (2.6351) Prec@1 37.109 (36.051) Prec@5 66.016 (66.369) Epoch: [14][2540/5809] Time 0.436 (0.343) Data 0.375 (0.268) Loss 2.3836 (2.6350) Prec@1 38.672 (36.053) Prec@5 71.875 (66.371) Epoch: [14][2550/5809] Time 0.140 (0.343) Data 0.001 (0.268) Loss 2.7029 (2.6353) Prec@1 37.109 (36.046) Prec@5 63.281 (66.361) Epoch: [14][2560/5809] Time 0.320 (0.343) Data 0.259 (0.268) Loss 2.5815 (2.6351) Prec@1 39.062 (36.048) Prec@5 66.016 (66.365) Epoch: [14][2570/5809] Time 0.404 (0.343) Data 0.345 (0.268) Loss 2.6266 (2.6351) Prec@1 35.156 (36.047) Prec@5 66.016 (66.366) Epoch: [14][2580/5809] Time 0.134 (0.343) Data 0.001 (0.268) Loss 2.8016 (2.6350) Prec@1 33.984 (36.049) Prec@5 62.109 (66.364) Epoch: [14][2590/5809] Time 0.468 (0.343) Data 0.407 (0.268) Loss 2.4492 (2.6350) Prec@1 37.500 (36.049) Prec@5 68.359 (66.365) Epoch: [14][2600/5809] Time 0.133 (0.343) Data 0.001 (0.268) Loss 2.6316 (2.6348) Prec@1 37.109 (36.054) Prec@5 62.891 (66.365) Epoch: [14][2610/5809] Time 0.189 (0.343) Data 0.129 (0.268) Loss 2.6386 (2.6350) Prec@1 34.766 (36.049) Prec@5 66.016 (66.362) Epoch: [14][2620/5809] Time 0.218 (0.343) Data 0.158 (0.268) Loss 2.4900 (2.6349) Prec@1 37.891 (36.056) Prec@5 67.969 (66.364) Epoch: [14][2630/5809] Time 0.225 (0.343) Data 0.165 (0.268) Loss 2.6262 (2.6349) Prec@1 40.234 (36.055) Prec@5 67.578 (66.362) Epoch: [14][2640/5809] Time 0.155 (0.343) Data 0.094 (0.268) Loss 2.6982 (2.6350) Prec@1 34.766 (36.055) Prec@5 65.234 (66.358) Epoch: [14][2650/5809] Time 0.133 (0.343) Data 0.045 (0.268) Loss 2.7270 (2.6351) Prec@1 36.328 (36.053) Prec@5 65.625 (66.355) Epoch: [14][2660/5809] Time 0.132 (0.343) Data 0.001 (0.268) Loss 2.4768 (2.6348) Prec@1 41.797 (36.056) Prec@5 68.359 (66.357) Epoch: [14][2670/5809] Time 0.135 (0.343) Data 0.001 (0.268) Loss 2.6425 (2.6348) Prec@1 35.156 (36.058) Prec@5 67.188 (66.357) Epoch: [14][2680/5809] Time 0.410 (0.343) Data 0.350 (0.268) Loss 2.4147 (2.6347) Prec@1 43.359 (36.062) Prec@5 70.312 (66.357) Epoch: [14][2690/5809] Time 0.217 (0.343) Data 0.157 (0.268) Loss 2.4910 (2.6347) Prec@1 36.719 (36.061) Prec@5 67.578 (66.359) Epoch: [14][2700/5809] Time 0.429 (0.343) Data 0.368 (0.268) Loss 2.5191 (2.6347) Prec@1 34.766 (36.059) Prec@5 69.531 (66.361) Epoch: [14][2710/5809] Time 0.412 (0.343) Data 0.345 (0.268) Loss 2.7596 (2.6348) Prec@1 36.719 (36.057) Prec@5 67.188 (66.360) Epoch: [14][2720/5809] Time 0.436 (0.343) Data 0.375 (0.268) Loss 2.5447 (2.6347) Prec@1 38.281 (36.059) Prec@5 67.578 (66.364) Epoch: [14][2730/5809] Time 0.505 (0.343) Data 0.438 (0.268) Loss 2.4686 (2.6345) Prec@1 42.969 (36.067) Prec@5 68.359 (66.368) Epoch: [14][2740/5809] Time 0.451 (0.343) Data 0.391 (0.268) Loss 2.7521 (2.6344) Prec@1 35.156 (36.067) Prec@5 63.672 (66.367) Epoch: [14][2750/5809] Time 0.566 (0.343) Data 0.506 (0.268) Loss 2.6441 (2.6346) Prec@1 37.500 (36.061) Prec@5 65.625 (66.362) Epoch: [14][2760/5809] Time 0.308 (0.343) Data 0.248 (0.268) Loss 2.6474 (2.6345) Prec@1 37.109 (36.068) Prec@5 63.281 (66.360) Epoch: [14][2770/5809] Time 0.551 (0.343) Data 0.491 (0.268) Loss 2.6447 (2.6345) Prec@1 35.156 (36.067) Prec@5 66.016 (66.356) Epoch: [14][2780/5809] Time 0.442 (0.343) Data 0.376 (0.268) Loss 2.7483 (2.6344) Prec@1 38.672 (36.066) Prec@5 64.453 (66.358) Epoch: [14][2790/5809] Time 0.378 (0.343) Data 0.317 (0.268) Loss 2.7821 (2.6346) Prec@1 30.469 (36.062) Prec@5 63.281 (66.355) Epoch: [14][2800/5809] Time 0.363 (0.343) Data 0.302 (0.268) Loss 2.9169 (2.6347) Prec@1 29.297 (36.060) Prec@5 62.891 (66.355) Epoch: [14][2810/5809] Time 0.486 (0.343) Data 0.427 (0.268) Loss 2.6287 (2.6347) Prec@1 35.547 (36.061) Prec@5 66.016 (66.358) Epoch: [14][2820/5809] Time 0.209 (0.343) Data 0.149 (0.268) Loss 2.7147 (2.6347) Prec@1 33.984 (36.063) Prec@5 66.016 (66.356) Epoch: [14][2830/5809] Time 0.568 (0.343) Data 0.507 (0.268) Loss 2.5748 (2.6346) Prec@1 37.109 (36.064) Prec@5 67.969 (66.356) Epoch: [14][2840/5809] Time 0.289 (0.343) Data 0.229 (0.268) Loss 2.5974 (2.6345) Prec@1 32.031 (36.064) Prec@5 65.625 (66.354) Epoch: [14][2850/5809] Time 0.539 (0.343) Data 0.479 (0.268) Loss 2.6181 (2.6346) Prec@1 37.500 (36.062) Prec@5 70.312 (66.357) Epoch: [14][2860/5809] Time 0.314 (0.343) Data 0.254 (0.269) Loss 2.4702 (2.6345) Prec@1 39.453 (36.065) Prec@5 68.359 (66.359) Epoch: [14][2870/5809] Time 0.394 (0.343) Data 0.333 (0.269) Loss 2.5362 (2.6344) Prec@1 37.109 (36.069) Prec@5 66.406 (66.362) Epoch: [14][2880/5809] Time 0.444 (0.343) Data 0.384 (0.269) Loss 2.5769 (2.6345) Prec@1 36.328 (36.070) Prec@5 65.625 (66.362) Epoch: [14][2890/5809] Time 0.337 (0.343) Data 0.276 (0.268) Loss 2.5162 (2.6346) Prec@1 36.719 (36.071) Prec@5 67.578 (66.360) Epoch: [14][2900/5809] Time 0.379 (0.343) Data 0.318 (0.269) Loss 2.7170 (2.6346) Prec@1 37.891 (36.069) Prec@5 63.281 (66.359) Epoch: [14][2910/5809] Time 0.280 (0.342) Data 0.220 (0.268) Loss 2.6991 (2.6348) Prec@1 35.938 (36.068) Prec@5 64.062 (66.354) Epoch: [14][2920/5809] Time 0.220 (0.343) Data 0.161 (0.268) Loss 2.6865 (2.6348) Prec@1 36.328 (36.071) Prec@5 64.453 (66.354) Epoch: [14][2930/5809] Time 0.244 (0.342) Data 0.184 (0.268) Loss 2.5275 (2.6349) Prec@1 38.672 (36.069) Prec@5 68.359 (66.351) Epoch: [14][2940/5809] Time 0.134 (0.342) Data 0.001 (0.269) Loss 2.6881 (2.6350) Prec@1 35.547 (36.064) Prec@5 65.234 (66.349) Epoch: [14][2950/5809] Time 0.220 (0.342) Data 0.159 (0.268) Loss 2.7543 (2.6352) Prec@1 32.031 (36.060) Prec@5 61.328 (66.344) Epoch: [14][2960/5809] Time 0.316 (0.342) Data 0.254 (0.269) Loss 2.8605 (2.6354) Prec@1 28.516 (36.052) Prec@5 63.281 (66.340) Epoch: [14][2970/5809] Time 0.190 (0.342) Data 0.129 (0.269) Loss 2.6320 (2.6355) Prec@1 37.500 (36.052) Prec@5 63.281 (66.337) Epoch: [14][2980/5809] Time 0.361 (0.343) Data 0.301 (0.269) Loss 2.6570 (2.6354) Prec@1 35.547 (36.054) Prec@5 64.062 (66.334) Epoch: [14][2990/5809] Time 0.133 (0.342) Data 0.052 (0.268) Loss 2.5955 (2.6354) Prec@1 35.547 (36.057) Prec@5 68.750 (66.336) Epoch: [14][3000/5809] Time 0.445 (0.342) Data 0.385 (0.269) Loss 2.6391 (2.6356) Prec@1 37.500 (36.055) Prec@5 67.578 (66.334) Epoch: [14][3010/5809] Time 0.132 (0.342) Data 0.054 (0.269) Loss 2.7567 (2.6356) Prec@1 34.375 (36.055) Prec@5 62.109 (66.335) Epoch: [14][3020/5809] Time 0.399 (0.343) Data 0.339 (0.269) Loss 2.5155 (2.6355) Prec@1 35.938 (36.059) Prec@5 70.312 (66.338) Epoch: [14][3030/5809] Time 0.134 (0.342) Data 0.001 (0.269) Loss 2.6932 (2.6355) Prec@1 33.203 (36.059) Prec@5 67.188 (66.334) Epoch: [14][3040/5809] Time 0.415 (0.343) Data 0.356 (0.269) Loss 2.6666 (2.6354) Prec@1 37.109 (36.065) Prec@5 65.625 (66.336) Epoch: [14][3050/5809] Time 0.267 (0.343) Data 0.206 (0.269) Loss 2.8600 (2.6355) Prec@1 30.859 (36.062) Prec@5 64.453 (66.335) Epoch: [14][3060/5809] Time 0.428 (0.343) Data 0.368 (0.269) Loss 2.5969 (2.6356) Prec@1 36.719 (36.063) Prec@5 67.578 (66.335) Epoch: [14][3070/5809] Time 0.298 (0.343) Data 0.237 (0.269) Loss 2.5115 (2.6354) Prec@1 40.625 (36.071) Prec@5 64.453 (66.341) Epoch: [14][3080/5809] Time 0.133 (0.343) Data 0.001 (0.269) Loss 2.6656 (2.6354) Prec@1 37.891 (36.069) Prec@5 64.453 (66.341) Epoch: [14][3090/5809] Time 0.133 (0.343) Data 0.001 (0.269) Loss 2.5790 (2.6355) Prec@1 39.453 (36.070) Prec@5 68.359 (66.341) Epoch: [14][3100/5809] Time 0.194 (0.343) Data 0.134 (0.269) Loss 2.5774 (2.6355) Prec@1 41.797 (36.070) Prec@5 65.625 (66.337) Epoch: [14][3110/5809] Time 0.133 (0.343) Data 0.001 (0.269) Loss 2.6653 (2.6356) Prec@1 37.500 (36.066) Prec@5 66.016 (66.339) Epoch: [14][3120/5809] Time 0.133 (0.343) Data 0.001 (0.269) Loss 2.7302 (2.6356) Prec@1 36.719 (36.067) Prec@5 64.844 (66.340) Epoch: [14][3130/5809] Time 0.159 (0.343) Data 0.099 (0.269) Loss 2.8729 (2.6357) Prec@1 28.125 (36.066) Prec@5 63.672 (66.338) Epoch: [14][3140/5809] Time 0.414 (0.343) Data 0.353 (0.269) Loss 2.5584 (2.6356) Prec@1 35.547 (36.065) Prec@5 69.922 (66.341) Epoch: [14][3150/5809] Time 0.437 (0.343) Data 0.376 (0.269) Loss 2.4976 (2.6356) Prec@1 37.500 (36.064) Prec@5 66.016 (66.341) Epoch: [14][3160/5809] Time 0.413 (0.343) Data 0.352 (0.269) Loss 2.7669 (2.6355) Prec@1 32.812 (36.061) Prec@5 62.891 (66.341) Epoch: [14][3170/5809] Time 0.905 (0.343) Data 0.844 (0.269) Loss 2.6944 (2.6357) Prec@1 33.594 (36.057) Prec@5 64.453 (66.335) Epoch: [14][3180/5809] Time 0.134 (0.343) Data 0.043 (0.269) Loss 2.7266 (2.6358) Prec@1 30.859 (36.053) Prec@5 65.234 (66.333) Epoch: [14][3190/5809] Time 0.697 (0.343) Data 0.638 (0.269) Loss 2.7809 (2.6359) Prec@1 35.938 (36.054) Prec@5 60.938 (66.331) Epoch: [14][3200/5809] Time 0.237 (0.343) Data 0.169 (0.269) Loss 2.8671 (2.6361) Prec@1 29.688 (36.050) Prec@5 62.109 (66.326) Epoch: [14][3210/5809] Time 0.851 (0.343) Data 0.791 (0.269) Loss 2.5197 (2.6363) Prec@1 36.328 (36.042) Prec@5 67.188 (66.321) Epoch: [14][3220/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.7019 (2.6364) Prec@1 34.375 (36.041) Prec@5 62.500 (66.323) Epoch: [14][3230/5809] Time 0.846 (0.343) Data 0.786 (0.269) Loss 2.4115 (2.6364) Prec@1 42.188 (36.039) Prec@5 69.141 (66.319) Epoch: [14][3240/5809] Time 0.133 (0.343) Data 0.001 (0.269) Loss 2.5359 (2.6365) Prec@1 37.500 (36.037) Prec@5 69.531 (66.315) Epoch: [14][3250/5809] Time 0.520 (0.343) Data 0.460 (0.269) Loss 2.4785 (2.6367) Prec@1 39.062 (36.039) Prec@5 68.750 (66.313) Epoch: [14][3260/5809] Time 0.140 (0.343) Data 0.001 (0.269) Loss 2.6698 (2.6368) Prec@1 39.453 (36.039) Prec@5 64.062 (66.308) Epoch: [14][3270/5809] Time 0.612 (0.343) Data 0.553 (0.269) Loss 2.6270 (2.6368) Prec@1 37.500 (36.038) Prec@5 63.672 (66.304) Epoch: [14][3280/5809] Time 0.133 (0.343) Data 0.001 (0.269) Loss 2.7200 (2.6370) Prec@1 32.812 (36.031) Prec@5 65.625 (66.301) Epoch: [14][3290/5809] Time 0.333 (0.343) Data 0.272 (0.269) Loss 2.7613 (2.6369) Prec@1 32.031 (36.034) Prec@5 67.188 (66.306) Epoch: [14][3300/5809] Time 0.325 (0.343) Data 0.264 (0.269) Loss 2.5012 (2.6367) Prec@1 38.672 (36.033) Prec@5 67.969 (66.309) Epoch: [14][3310/5809] Time 0.238 (0.343) Data 0.178 (0.269) Loss 2.6535 (2.6366) Prec@1 35.547 (36.031) Prec@5 61.328 (66.311) Epoch: [14][3320/5809] Time 0.358 (0.343) Data 0.298 (0.269) Loss 2.7193 (2.6368) Prec@1 30.859 (36.028) Prec@5 64.062 (66.311) Epoch: [14][3330/5809] Time 0.557 (0.343) Data 0.496 (0.269) Loss 2.7043 (2.6368) Prec@1 36.328 (36.027) Prec@5 62.500 (66.310) Epoch: [14][3340/5809] Time 0.400 (0.343) Data 0.341 (0.269) Loss 2.6793 (2.6369) Prec@1 35.938 (36.025) Prec@5 63.672 (66.310) Epoch: [14][3350/5809] Time 0.411 (0.343) Data 0.350 (0.269) Loss 2.5927 (2.6368) Prec@1 31.250 (36.027) Prec@5 69.922 (66.318) Epoch: [14][3360/5809] Time 0.287 (0.343) Data 0.222 (0.269) Loss 3.0021 (2.6367) Prec@1 29.688 (36.028) Prec@5 58.203 (66.320) Epoch: [14][3370/5809] Time 0.383 (0.343) Data 0.322 (0.269) Loss 2.7603 (2.6366) Prec@1 30.469 (36.025) Prec@5 65.234 (66.322) Epoch: [14][3380/5809] Time 0.231 (0.343) Data 0.172 (0.269) Loss 2.7381 (2.6367) Prec@1 35.938 (36.024) Prec@5 62.891 (66.317) Epoch: [14][3390/5809] Time 0.598 (0.343) Data 0.538 (0.269) Loss 2.6370 (2.6368) Prec@1 41.406 (36.029) Prec@5 64.062 (66.318) Epoch: [14][3400/5809] Time 0.461 (0.343) Data 0.400 (0.269) Loss 2.7127 (2.6370) Prec@1 35.938 (36.024) Prec@5 67.188 (66.315) Epoch: [14][3410/5809] Time 0.606 (0.343) Data 0.545 (0.269) Loss 2.5603 (2.6369) Prec@1 37.891 (36.031) Prec@5 68.750 (66.317) Epoch: [14][3420/5809] Time 0.366 (0.343) Data 0.307 (0.269) Loss 2.6897 (2.6369) Prec@1 36.719 (36.030) Prec@5 66.797 (66.316) Epoch: [14][3430/5809] Time 0.937 (0.343) Data 0.877 (0.269) Loss 2.7585 (2.6371) Prec@1 31.641 (36.024) Prec@5 62.891 (66.309) Epoch: [14][3440/5809] Time 0.288 (0.343) Data 0.227 (0.269) Loss 2.6753 (2.6371) Prec@1 37.891 (36.021) Prec@5 66.016 (66.311) Epoch: [14][3450/5809] Time 0.909 (0.343) Data 0.850 (0.269) Loss 2.6156 (2.6372) Prec@1 43.359 (36.023) Prec@5 67.188 (66.309) Epoch: [14][3460/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.5957 (2.6372) Prec@1 39.062 (36.025) Prec@5 64.844 (66.309) Epoch: [14][3470/5809] Time 0.971 (0.343) Data 0.905 (0.269) Loss 2.7022 (2.6372) Prec@1 34.766 (36.025) Prec@5 63.281 (66.308) Epoch: [14][3480/5809] Time 0.167 (0.343) Data 0.107 (0.269) Loss 2.8928 (2.6371) Prec@1 33.594 (36.030) Prec@5 63.281 (66.312) Epoch: [14][3490/5809] Time 0.948 (0.343) Data 0.887 (0.269) Loss 2.5115 (2.6371) Prec@1 38.672 (36.029) Prec@5 68.750 (66.312) Epoch: [14][3500/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.5071 (2.6371) Prec@1 39.453 (36.029) Prec@5 69.922 (66.310) Epoch: [14][3510/5809] Time 0.911 (0.343) Data 0.846 (0.269) Loss 2.7105 (2.6372) Prec@1 33.594 (36.028) Prec@5 67.578 (66.312) Epoch: [14][3520/5809] Time 0.134 (0.343) Data 0.001 (0.269) Loss 2.6972 (2.6372) Prec@1 36.719 (36.028) Prec@5 67.578 (66.316) Epoch: [14][3530/5809] Time 0.889 (0.343) Data 0.829 (0.269) Loss 2.7260 (2.6371) Prec@1 38.672 (36.030) Prec@5 65.234 (66.317) Epoch: [14][3540/5809] Time 0.141 (0.343) Data 0.001 (0.269) Loss 2.6184 (2.6370) Prec@1 33.984 (36.031) Prec@5 68.359 (66.321) Epoch: [14][3550/5809] Time 0.833 (0.343) Data 0.772 (0.269) Loss 2.6730 (2.6371) Prec@1 35.938 (36.031) Prec@5 64.844 (66.320) Epoch: [14][3560/5809] Time 0.131 (0.343) Data 0.001 (0.268) Loss 2.7801 (2.6371) Prec@1 34.375 (36.032) Prec@5 60.156 (66.318) Epoch: [14][3570/5809] Time 0.872 (0.343) Data 0.805 (0.269) Loss 2.6647 (2.6371) Prec@1 35.547 (36.032) Prec@5 67.578 (66.322) Epoch: [14][3580/5809] Time 0.128 (0.343) Data 0.053 (0.268) Loss 2.6277 (2.6372) Prec@1 33.594 (36.032) Prec@5 66.406 (66.321) Epoch: [14][3590/5809] Time 0.807 (0.343) Data 0.740 (0.268) Loss 2.6580 (2.6371) Prec@1 36.719 (36.036) Prec@5 65.625 (66.323) Epoch: [14][3600/5809] Time 0.129 (0.343) Data 0.001 (0.268) Loss 2.8117 (2.6370) Prec@1 32.812 (36.036) Prec@5 64.453 (66.324) Epoch: [14][3610/5809] Time 1.006 (0.343) Data 0.940 (0.268) Loss 2.6975 (2.6371) Prec@1 35.156 (36.035) Prec@5 64.062 (66.321) Epoch: [14][3620/5809] Time 0.141 (0.343) Data 0.001 (0.268) Loss 2.6454 (2.6371) Prec@1 39.062 (36.036) Prec@5 67.969 (66.321) Epoch: [14][3630/5809] Time 0.902 (0.343) Data 0.836 (0.268) Loss 2.5730 (2.6371) Prec@1 36.328 (36.036) Prec@5 70.703 (66.322) Epoch: [14][3640/5809] Time 0.128 (0.343) Data 0.001 (0.268) Loss 2.4658 (2.6372) Prec@1 38.672 (36.034) Prec@5 68.750 (66.321) Epoch: [14][3650/5809] Time 1.168 (0.343) Data 1.109 (0.268) Loss 2.5820 (2.6372) Prec@1 37.109 (36.033) Prec@5 68.359 (66.320) Epoch: [14][3660/5809] Time 0.141 (0.343) Data 0.001 (0.268) Loss 2.6737 (2.6374) Prec@1 32.422 (36.027) Prec@5 66.797 (66.318) Epoch: [14][3670/5809] Time 0.893 (0.343) Data 0.833 (0.268) Loss 2.5424 (2.6374) Prec@1 36.719 (36.024) Prec@5 68.359 (66.317) Epoch: [14][3680/5809] Time 0.141 (0.343) Data 0.001 (0.268) Loss 2.4529 (2.6373) Prec@1 39.062 (36.024) Prec@5 66.797 (66.317) Epoch: [14][3690/5809] Time 0.958 (0.343) Data 0.890 (0.268) Loss 2.8143 (2.6373) Prec@1 36.328 (36.025) Prec@5 64.844 (66.315) Epoch: [14][3700/5809] Time 0.143 (0.343) Data 0.082 (0.268) Loss 2.5128 (2.6372) Prec@1 35.156 (36.026) Prec@5 69.922 (66.316) Epoch: [14][3710/5809] Time 0.813 (0.343) Data 0.753 (0.268) Loss 2.4686 (2.6372) Prec@1 41.406 (36.026) Prec@5 69.922 (66.315) Epoch: [14][3720/5809] Time 0.212 (0.343) Data 0.151 (0.268) Loss 2.8020 (2.6373) Prec@1 35.547 (36.023) Prec@5 63.281 (66.314) Epoch: [14][3730/5809] Time 0.799 (0.343) Data 0.740 (0.268) Loss 2.8370 (2.6372) Prec@1 33.594 (36.026) Prec@5 63.281 (66.316) Epoch: [14][3740/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.6832 (2.6372) Prec@1 35.156 (36.026) Prec@5 65.234 (66.318) Epoch: [14][3750/5809] Time 0.744 (0.343) Data 0.683 (0.268) Loss 2.5159 (2.6371) Prec@1 40.234 (36.031) Prec@5 67.578 (66.320) Epoch: [14][3760/5809] Time 0.135 (0.343) Data 0.052 (0.268) Loss 2.6018 (2.6371) Prec@1 35.156 (36.028) Prec@5 67.188 (66.317) Epoch: [14][3770/5809] Time 0.919 (0.343) Data 0.853 (0.268) Loss 2.6536 (2.6371) Prec@1 35.938 (36.025) Prec@5 64.062 (66.317) Epoch: [14][3780/5809] Time 0.134 (0.343) Data 0.001 (0.267) Loss 2.6723 (2.6369) Prec@1 34.375 (36.027) Prec@5 64.453 (66.318) Epoch: [14][3790/5809] Time 0.597 (0.343) Data 0.536 (0.267) Loss 2.7703 (2.6371) Prec@1 32.422 (36.024) Prec@5 63.672 (66.317) Epoch: [14][3800/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.5873 (2.6371) Prec@1 37.109 (36.021) Prec@5 66.797 (66.316) Epoch: [14][3810/5809] Time 0.319 (0.343) Data 0.258 (0.267) Loss 2.4508 (2.6371) Prec@1 37.109 (36.019) Prec@5 71.875 (66.316) Epoch: [14][3820/5809] Time 0.134 (0.343) Data 0.001 (0.267) Loss 2.7342 (2.6371) Prec@1 34.766 (36.017) Prec@5 63.672 (66.317) Epoch: [14][3830/5809] Time 0.139 (0.343) Data 0.001 (0.267) Loss 2.6905 (2.6371) Prec@1 38.672 (36.019) Prec@5 66.016 (66.321) Epoch: [14][3840/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.4040 (2.6371) Prec@1 37.891 (36.018) Prec@5 72.656 (66.318) Epoch: [14][3850/5809] Time 0.133 (0.343) Data 0.069 (0.267) Loss 2.6842 (2.6369) Prec@1 34.766 (36.021) Prec@5 66.406 (66.321) Epoch: [14][3860/5809] Time 0.134 (0.343) Data 0.052 (0.267) Loss 2.6780 (2.6369) Prec@1 31.641 (36.021) Prec@5 66.016 (66.321) Epoch: [14][3870/5809] Time 0.256 (0.343) Data 0.195 (0.267) Loss 2.5754 (2.6371) Prec@1 40.234 (36.018) Prec@5 68.359 (66.318) Epoch: [14][3880/5809] Time 0.134 (0.343) Data 0.001 (0.267) Loss 2.8687 (2.6371) Prec@1 29.297 (36.018) Prec@5 62.109 (66.316) Epoch: [14][3890/5809] Time 0.132 (0.343) Data 0.001 (0.267) Loss 2.6049 (2.6372) Prec@1 33.203 (36.015) Prec@5 66.406 (66.316) Epoch: [14][3900/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.7917 (2.6372) Prec@1 32.422 (36.013) Prec@5 60.156 (66.312) Epoch: [14][3910/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.5396 (2.6371) Prec@1 39.062 (36.013) Prec@5 71.484 (66.315) Epoch: [14][3920/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.5608 (2.6371) Prec@1 32.422 (36.013) Prec@5 68.359 (66.313) Epoch: [14][3930/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.6517 (2.6371) Prec@1 37.109 (36.013) Prec@5 67.969 (66.315) Epoch: [14][3940/5809] Time 0.278 (0.343) Data 0.218 (0.267) Loss 2.6758 (2.6370) Prec@1 33.984 (36.011) Prec@5 66.406 (66.317) Epoch: [14][3950/5809] Time 0.158 (0.343) Data 0.097 (0.267) Loss 2.8476 (2.6372) Prec@1 29.297 (36.007) Prec@5 62.500 (66.314) Epoch: [14][3960/5809] Time 0.134 (0.343) Data 0.001 (0.267) Loss 2.5669 (2.6372) Prec@1 41.016 (36.007) Prec@5 67.969 (66.316) Epoch: [14][3970/5809] Time 0.139 (0.343) Data 0.001 (0.267) Loss 2.4342 (2.6371) Prec@1 37.891 (36.008) Prec@5 68.359 (66.316) Epoch: [14][3980/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.4855 (2.6372) Prec@1 39.844 (36.008) Prec@5 71.875 (66.316) Epoch: [14][3990/5809] Time 0.299 (0.343) Data 0.232 (0.267) Loss 2.6370 (2.6373) Prec@1 39.453 (36.012) Prec@5 66.016 (66.313) Epoch: [14][4000/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.5272 (2.6373) Prec@1 35.547 (36.015) Prec@5 67.969 (66.313) Epoch: [14][4010/5809] Time 0.151 (0.343) Data 0.091 (0.267) Loss 2.7458 (2.6372) Prec@1 28.516 (36.012) Prec@5 64.062 (66.318) Epoch: [14][4020/5809] Time 0.139 (0.343) Data 0.078 (0.267) Loss 2.6786 (2.6373) Prec@1 39.453 (36.014) Prec@5 63.672 (66.315) Epoch: [14][4030/5809] Time 0.135 (0.343) Data 0.001 (0.267) Loss 2.7039 (2.6375) Prec@1 35.938 (36.013) Prec@5 65.625 (66.310) Epoch: [14][4040/5809] Time 0.127 (0.343) Data 0.052 (0.267) Loss 2.7631 (2.6376) Prec@1 34.766 (36.015) Prec@5 62.500 (66.307) Epoch: [14][4050/5809] Time 0.128 (0.343) Data 0.001 (0.267) Loss 2.6500 (2.6376) Prec@1 30.859 (36.016) Prec@5 64.062 (66.307) Epoch: [14][4060/5809] Time 0.128 (0.343) Data 0.052 (0.267) Loss 2.5005 (2.6376) Prec@1 41.406 (36.018) Prec@5 66.797 (66.305) Epoch: [14][4070/5809] Time 0.128 (0.343) Data 0.001 (0.267) Loss 2.6308 (2.6376) Prec@1 37.500 (36.020) Prec@5 67.969 (66.305) Epoch: [14][4080/5809] Time 0.314 (0.343) Data 0.253 (0.266) Loss 2.8551 (2.6378) Prec@1 32.031 (36.013) Prec@5 61.328 (66.302) Epoch: [14][4090/5809] Time 0.134 (0.343) Data 0.054 (0.267) Loss 2.7625 (2.6379) Prec@1 35.156 (36.010) Prec@5 64.844 (66.301) Epoch: [14][4100/5809] Time 0.280 (0.343) Data 0.218 (0.266) Loss 2.7368 (2.6379) Prec@1 34.766 (36.007) Prec@5 65.625 (66.300) Epoch: [14][4110/5809] Time 0.129 (0.343) Data 0.001 (0.266) Loss 2.4162 (2.6377) Prec@1 41.016 (36.012) Prec@5 67.578 (66.305) Epoch: [14][4120/5809] Time 0.339 (0.343) Data 0.279 (0.266) Loss 2.6480 (2.6378) Prec@1 35.938 (36.009) Prec@5 64.062 (66.301) Epoch: [14][4130/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.6140 (2.6379) Prec@1 39.844 (36.011) Prec@5 69.922 (66.300) Epoch: [14][4140/5809] Time 0.294 (0.343) Data 0.234 (0.266) Loss 2.7747 (2.6380) Prec@1 33.984 (36.009) Prec@5 61.719 (66.299) Epoch: [14][4150/5809] Time 0.140 (0.343) Data 0.001 (0.266) Loss 2.6975 (2.6381) Prec@1 34.766 (36.006) Prec@5 65.234 (66.298) Epoch: [14][4160/5809] Time 0.224 (0.343) Data 0.163 (0.266) Loss 2.8480 (2.6384) Prec@1 33.594 (36.001) Prec@5 62.109 (66.295) Epoch: [14][4170/5809] Time 0.169 (0.343) Data 0.108 (0.266) Loss 2.6006 (2.6384) Prec@1 35.938 (35.999) Prec@5 64.844 (66.293) Epoch: [14][4180/5809] Time 0.274 (0.343) Data 0.213 (0.266) Loss 2.5803 (2.6384) Prec@1 36.719 (35.998) Prec@5 66.016 (66.295) Epoch: [14][4190/5809] Time 0.140 (0.343) Data 0.001 (0.266) Loss 2.7413 (2.6385) Prec@1 36.328 (35.996) Prec@5 63.281 (66.291) Epoch: [14][4200/5809] Time 0.434 (0.343) Data 0.374 (0.266) Loss 2.6249 (2.6383) Prec@1 34.766 (35.999) Prec@5 66.016 (66.293) Epoch: [14][4210/5809] Time 0.141 (0.343) Data 0.001 (0.266) Loss 2.7644 (2.6383) Prec@1 37.891 (36.000) Prec@5 64.062 (66.294) Epoch: [14][4220/5809] Time 0.539 (0.343) Data 0.479 (0.266) Loss 2.8776 (2.6382) Prec@1 32.422 (36.001) Prec@5 60.547 (66.296) Epoch: [14][4230/5809] Time 0.133 (0.343) Data 0.001 (0.266) Loss 2.7867 (2.6383) Prec@1 33.984 (36.000) Prec@5 62.891 (66.294) Epoch: [14][4240/5809] Time 0.841 (0.343) Data 0.780 (0.266) Loss 2.7136 (2.6383) Prec@1 30.469 (35.998) Prec@5 68.750 (66.296) Epoch: [14][4250/5809] Time 0.131 (0.343) Data 0.052 (0.266) Loss 2.6652 (2.6383) Prec@1 35.547 (35.998) Prec@5 63.672 (66.296) Epoch: [14][4260/5809] Time 1.008 (0.343) Data 0.942 (0.266) Loss 2.6276 (2.6384) Prec@1 35.547 (35.997) Prec@5 67.969 (66.292) Epoch: [14][4270/5809] Time 0.141 (0.343) Data 0.001 (0.266) Loss 2.5850 (2.6383) Prec@1 33.594 (35.999) Prec@5 60.547 (66.292) Epoch: [14][4280/5809] Time 0.799 (0.343) Data 0.739 (0.266) Loss 2.6368 (2.6384) Prec@1 36.328 (35.996) Prec@5 66.016 (66.288) Epoch: [14][4290/5809] Time 0.132 (0.343) Data 0.051 (0.266) Loss 2.5246 (2.6386) Prec@1 39.453 (35.995) Prec@5 69.922 (66.284) Epoch: [14][4300/5809] Time 0.647 (0.343) Data 0.587 (0.266) Loss 2.7619 (2.6386) Prec@1 32.812 (35.993) Prec@5 65.234 (66.284) Epoch: [14][4310/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.6043 (2.6387) Prec@1 33.594 (35.992) Prec@5 70.312 (66.282) Epoch: [14][4320/5809] Time 0.564 (0.343) Data 0.503 (0.266) Loss 2.4148 (2.6388) Prec@1 39.844 (35.990) Prec@5 69.141 (66.277) Epoch: [14][4330/5809] Time 0.234 (0.343) Data 0.173 (0.266) Loss 2.4255 (2.6387) Prec@1 39.062 (35.991) Prec@5 69.922 (66.283) Epoch: [14][4340/5809] Time 0.382 (0.343) Data 0.322 (0.266) Loss 2.7533 (2.6387) Prec@1 33.984 (35.989) Prec@5 60.938 (66.284) Epoch: [14][4350/5809] Time 0.382 (0.343) Data 0.321 (0.266) Loss 2.6284 (2.6387) Prec@1 33.594 (35.985) Prec@5 63.281 (66.284) Epoch: [14][4360/5809] Time 0.403 (0.343) Data 0.342 (0.266) Loss 2.6085 (2.6388) Prec@1 33.594 (35.984) Prec@5 69.531 (66.285) Epoch: [14][4370/5809] Time 0.368 (0.343) Data 0.308 (0.266) Loss 2.6572 (2.6389) Prec@1 37.109 (35.983) Prec@5 67.578 (66.286) Epoch: [14][4380/5809] Time 0.554 (0.343) Data 0.493 (0.266) Loss 2.6566 (2.6390) Prec@1 35.938 (35.982) Prec@5 63.281 (66.283) Epoch: [14][4390/5809] Time 0.285 (0.343) Data 0.224 (0.266) Loss 2.7940 (2.6390) Prec@1 32.422 (35.980) Prec@5 62.500 (66.282) Epoch: [14][4400/5809] Time 0.588 (0.343) Data 0.528 (0.266) Loss 2.4932 (2.6388) Prec@1 40.625 (35.983) Prec@5 66.797 (66.286) Epoch: [14][4410/5809] Time 0.224 (0.343) Data 0.163 (0.266) Loss 2.7428 (2.6388) Prec@1 36.719 (35.984) Prec@5 63.281 (66.286) Epoch: [14][4420/5809] Time 0.471 (0.343) Data 0.410 (0.266) Loss 2.7075 (2.6388) Prec@1 35.547 (35.986) Prec@5 66.406 (66.284) Epoch: [14][4430/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.4690 (2.6389) Prec@1 41.016 (35.983) Prec@5 71.875 (66.283) Epoch: [14][4440/5809] Time 0.635 (0.343) Data 0.571 (0.266) Loss 2.7621 (2.6390) Prec@1 30.469 (35.980) Prec@5 60.938 (66.279) Epoch: [14][4450/5809] Time 0.134 (0.343) Data 0.053 (0.266) Loss 2.8495 (2.6391) Prec@1 32.422 (35.979) Prec@5 63.281 (66.281) Epoch: [14][4460/5809] Time 0.601 (0.343) Data 0.533 (0.266) Loss 2.5139 (2.6392) Prec@1 36.719 (35.975) Prec@5 70.312 (66.280) Epoch: [14][4470/5809] Time 0.150 (0.343) Data 0.090 (0.266) Loss 2.7475 (2.6391) Prec@1 33.984 (35.978) Prec@5 63.281 (66.284) Epoch: [14][4480/5809] Time 0.466 (0.343) Data 0.405 (0.266) Loss 2.7119 (2.6392) Prec@1 35.156 (35.978) Prec@5 66.406 (66.282) Epoch: [14][4490/5809] Time 0.175 (0.343) Data 0.114 (0.266) Loss 2.7066 (2.6391) Prec@1 39.453 (35.983) Prec@5 66.406 (66.285) Epoch: [14][4500/5809] Time 0.402 (0.343) Data 0.342 (0.266) Loss 2.5594 (2.6388) Prec@1 33.594 (35.986) Prec@5 68.359 (66.287) Epoch: [14][4510/5809] Time 0.241 (0.343) Data 0.181 (0.266) Loss 2.6928 (2.6388) Prec@1 37.109 (35.987) Prec@5 66.406 (66.286) Epoch: [14][4520/5809] Time 0.539 (0.343) Data 0.478 (0.266) Loss 2.5929 (2.6387) Prec@1 39.062 (35.989) Prec@5 66.406 (66.288) Epoch: [14][4530/5809] Time 0.186 (0.343) Data 0.126 (0.266) Loss 2.5916 (2.6385) Prec@1 38.281 (35.990) Prec@5 69.531 (66.288) Epoch: [14][4540/5809] Time 0.565 (0.343) Data 0.506 (0.267) Loss 2.7092 (2.6386) Prec@1 39.062 (35.990) Prec@5 60.156 (66.285) Epoch: [14][4550/5809] Time 0.136 (0.343) Data 0.073 (0.266) Loss 2.4798 (2.6386) Prec@1 40.234 (35.991) Prec@5 69.531 (66.284) Epoch: [14][4560/5809] Time 1.003 (0.343) Data 0.944 (0.267) Loss 2.5462 (2.6386) Prec@1 34.375 (35.993) Prec@5 67.188 (66.283) Epoch: [14][4570/5809] Time 0.141 (0.343) Data 0.001 (0.266) Loss 2.5948 (2.6386) Prec@1 40.625 (35.993) Prec@5 70.703 (66.283) Epoch: [14][4580/5809] Time 0.849 (0.343) Data 0.789 (0.267) Loss 2.5262 (2.6385) Prec@1 34.375 (35.992) Prec@5 67.188 (66.285) Epoch: [14][4590/5809] Time 0.246 (0.343) Data 0.185 (0.266) Loss 2.5553 (2.6386) Prec@1 37.500 (35.990) Prec@5 66.406 (66.283) Epoch: [14][4600/5809] Time 0.655 (0.343) Data 0.595 (0.266) Loss 2.6498 (2.6387) Prec@1 35.938 (35.991) Prec@5 67.578 (66.286) Epoch: [14][4610/5809] Time 0.134 (0.343) Data 0.001 (0.266) Loss 2.3571 (2.6385) Prec@1 40.625 (35.993) Prec@5 71.094 (66.289) Epoch: [14][4620/5809] Time 0.926 (0.343) Data 0.867 (0.267) Loss 2.7056 (2.6386) Prec@1 36.328 (35.992) Prec@5 63.672 (66.287) Epoch: [14][4630/5809] Time 0.279 (0.343) Data 0.213 (0.266) Loss 2.4816 (2.6386) Prec@1 36.328 (35.992) Prec@5 71.484 (66.288) Epoch: [14][4640/5809] Time 0.837 (0.343) Data 0.776 (0.266) Loss 2.5309 (2.6386) Prec@1 38.281 (35.992) Prec@5 68.359 (66.288) Epoch: [14][4650/5809] Time 0.192 (0.343) Data 0.127 (0.266) Loss 2.6508 (2.6386) Prec@1 34.766 (35.992) Prec@5 66.016 (66.289) Epoch: [14][4660/5809] Time 0.694 (0.343) Data 0.633 (0.267) Loss 2.6956 (2.6386) Prec@1 35.547 (35.992) Prec@5 62.891 (66.290) Epoch: [14][4670/5809] Time 0.193 (0.343) Data 0.132 (0.266) Loss 2.5486 (2.6386) Prec@1 38.672 (35.994) Prec@5 70.312 (66.291) Epoch: [14][4680/5809] Time 0.989 (0.343) Data 0.922 (0.267) Loss 2.3916 (2.6386) Prec@1 42.578 (35.997) Prec@5 73.828 (66.293) Epoch: [14][4690/5809] Time 0.156 (0.343) Data 0.088 (0.266) Loss 2.6907 (2.6385) Prec@1 35.547 (35.996) Prec@5 69.141 (66.294) Epoch: [14][4700/5809] Time 0.977 (0.343) Data 0.910 (0.267) Loss 2.5648 (2.6385) Prec@1 39.062 (35.994) Prec@5 67.578 (66.292) Epoch: [14][4710/5809] Time 0.139 (0.343) Data 0.077 (0.266) Loss 2.5471 (2.6386) Prec@1 34.375 (35.992) Prec@5 66.406 (66.290) Epoch: [14][4720/5809] Time 0.787 (0.343) Data 0.726 (0.267) Loss 2.4570 (2.6385) Prec@1 40.234 (35.994) Prec@5 70.703 (66.291) Epoch: [14][4730/5809] Time 0.134 (0.343) Data 0.051 (0.266) Loss 2.6970 (2.6385) Prec@1 33.984 (35.992) Prec@5 62.109 (66.291) Epoch: [14][4740/5809] Time 0.913 (0.343) Data 0.852 (0.267) Loss 2.4209 (2.6386) Prec@1 39.062 (35.990) Prec@5 69.141 (66.289) Epoch: [14][4750/5809] Time 0.126 (0.343) Data 0.051 (0.266) Loss 2.7621 (2.6387) Prec@1 34.766 (35.987) Prec@5 62.891 (66.289) Epoch: [14][4760/5809] Time 0.828 (0.343) Data 0.768 (0.267) Loss 2.6835 (2.6388) Prec@1 33.203 (35.984) Prec@5 63.672 (66.287) Epoch: [14][4770/5809] Time 0.187 (0.343) Data 0.126 (0.267) Loss 2.5576 (2.6387) Prec@1 34.375 (35.984) Prec@5 68.359 (66.287) Epoch: [14][4780/5809] Time 0.760 (0.343) Data 0.699 (0.267) Loss 2.8262 (2.6388) Prec@1 35.156 (35.983) Prec@5 64.453 (66.283) Epoch: [14][4790/5809] Time 0.135 (0.343) Data 0.066 (0.267) Loss 2.7716 (2.6388) Prec@1 30.859 (35.982) Prec@5 66.016 (66.284) Epoch: [14][4800/5809] Time 0.727 (0.343) Data 0.659 (0.267) Loss 2.7603 (2.6388) Prec@1 30.859 (35.981) Prec@5 67.188 (66.286) Epoch: [14][4810/5809] Time 0.269 (0.343) Data 0.208 (0.267) Loss 2.7569 (2.6388) Prec@1 37.891 (35.978) Prec@5 64.062 (66.285) Epoch: [14][4820/5809] Time 0.867 (0.343) Data 0.799 (0.267) Loss 2.7201 (2.6387) Prec@1 38.672 (35.980) Prec@5 62.891 (66.286) Epoch: [14][4830/5809] Time 0.170 (0.343) Data 0.109 (0.267) Loss 2.5467 (2.6385) Prec@1 38.281 (35.985) Prec@5 70.312 (66.289) Epoch: [14][4840/5809] Time 0.869 (0.343) Data 0.804 (0.267) Loss 2.5915 (2.6386) Prec@1 41.406 (35.985) Prec@5 66.797 (66.287) Epoch: [14][4850/5809] Time 0.134 (0.343) Data 0.045 (0.267) Loss 2.5068 (2.6385) Prec@1 37.891 (35.986) Prec@5 72.266 (66.289) Epoch: [14][4860/5809] Time 0.866 (0.343) Data 0.805 (0.267) Loss 2.8272 (2.6386) Prec@1 31.641 (35.983) Prec@5 62.109 (66.286) Epoch: [14][4870/5809] Time 0.134 (0.343) Data 0.065 (0.267) Loss 2.7223 (2.6386) Prec@1 37.500 (35.983) Prec@5 64.453 (66.285) Epoch: [14][4880/5809] Time 0.806 (0.343) Data 0.746 (0.267) Loss 2.6192 (2.6386) Prec@1 40.234 (35.984) Prec@5 67.969 (66.285) Epoch: [14][4890/5809] Time 0.319 (0.343) Data 0.259 (0.267) Loss 2.5999 (2.6385) Prec@1 37.891 (35.988) Prec@5 68.750 (66.287) Epoch: [14][4900/5809] Time 0.744 (0.343) Data 0.683 (0.267) Loss 2.5784 (2.6385) Prec@1 37.891 (35.988) Prec@5 67.188 (66.285) Epoch: [14][4910/5809] Time 0.249 (0.343) Data 0.190 (0.267) Loss 2.7158 (2.6386) Prec@1 33.984 (35.986) Prec@5 63.281 (66.283) Epoch: [14][4920/5809] Time 0.742 (0.343) Data 0.683 (0.267) Loss 2.7383 (2.6387) Prec@1 34.375 (35.985) Prec@5 67.188 (66.284) Epoch: [14][4930/5809] Time 0.133 (0.343) Data 0.053 (0.267) Loss 2.6500 (2.6386) Prec@1 33.594 (35.985) Prec@5 65.625 (66.287) Epoch: [14][4940/5809] Time 0.659 (0.343) Data 0.598 (0.267) Loss 2.6306 (2.6386) Prec@1 38.281 (35.984) Prec@5 67.578 (66.287) Epoch: [14][4950/5809] Time 0.133 (0.343) Data 0.053 (0.267) Loss 2.6563 (2.6387) Prec@1 36.328 (35.982) Prec@5 64.844 (66.286) Epoch: [14][4960/5809] Time 0.766 (0.343) Data 0.706 (0.267) Loss 2.5843 (2.6388) Prec@1 33.984 (35.976) Prec@5 64.062 (66.283) Epoch: [14][4970/5809] Time 0.134 (0.343) Data 0.054 (0.267) Loss 2.7478 (2.6387) Prec@1 30.859 (35.980) Prec@5 62.109 (66.285) Epoch: [14][4980/5809] Time 0.838 (0.343) Data 0.777 (0.267) Loss 2.4218 (2.6388) Prec@1 42.188 (35.978) Prec@5 71.094 (66.282) Epoch: [14][4990/5809] Time 0.137 (0.343) Data 0.075 (0.267) Loss 2.6904 (2.6388) Prec@1 32.812 (35.977) Prec@5 67.578 (66.283) Epoch: [14][5000/5809] Time 0.608 (0.343) Data 0.548 (0.267) Loss 2.5998 (2.6388) Prec@1 34.375 (35.979) Prec@5 71.094 (66.283) Epoch: [14][5010/5809] Time 0.283 (0.343) Data 0.223 (0.267) Loss 2.7196 (2.6388) Prec@1 36.719 (35.978) Prec@5 64.844 (66.284) Epoch: [14][5020/5809] Time 0.450 (0.343) Data 0.389 (0.267) Loss 2.7073 (2.6389) Prec@1 36.719 (35.974) Prec@5 63.672 (66.283) Epoch: [14][5030/5809] Time 0.135 (0.343) Data 0.074 (0.267) Loss 2.7921 (2.6390) Prec@1 33.594 (35.970) Prec@5 64.453 (66.281) Epoch: [14][5040/5809] Time 0.398 (0.343) Data 0.337 (0.267) Loss 2.6243 (2.6390) Prec@1 36.328 (35.970) Prec@5 65.625 (66.281) Epoch: [14][5050/5809] Time 0.204 (0.343) Data 0.144 (0.267) Loss 2.6831 (2.6389) Prec@1 35.938 (35.972) Prec@5 64.844 (66.282) Epoch: [14][5060/5809] Time 0.413 (0.343) Data 0.352 (0.267) Loss 2.6644 (2.6389) Prec@1 34.766 (35.972) Prec@5 66.797 (66.282) Epoch: [14][5070/5809] Time 0.143 (0.343) Data 0.082 (0.267) Loss 2.6393 (2.6390) Prec@1 38.281 (35.971) Prec@5 66.797 (66.281) Epoch: [14][5080/5809] Time 0.296 (0.343) Data 0.235 (0.267) Loss 2.4993 (2.6390) Prec@1 35.938 (35.971) Prec@5 69.141 (66.279) Epoch: [14][5090/5809] Time 0.149 (0.343) Data 0.082 (0.267) Loss 2.7857 (2.6391) Prec@1 31.641 (35.968) Prec@5 61.328 (66.278) Epoch: [14][5100/5809] Time 0.132 (0.343) Data 0.044 (0.267) Loss 2.7574 (2.6392) Prec@1 34.375 (35.966) Prec@5 66.797 (66.278) Epoch: [14][5110/5809] Time 0.139 (0.343) Data 0.001 (0.267) Loss 2.7632 (2.6390) Prec@1 32.422 (35.969) Prec@5 63.281 (66.280) Epoch: [14][5120/5809] Time 0.129 (0.343) Data 0.044 (0.267) Loss 2.5630 (2.6390) Prec@1 35.156 (35.969) Prec@5 67.188 (66.280) Epoch: [14][5130/5809] Time 0.127 (0.343) Data 0.053 (0.267) Loss 2.8126 (2.6391) Prec@1 30.078 (35.970) Prec@5 63.672 (66.279) Epoch: [14][5140/5809] Time 0.189 (0.343) Data 0.128 (0.267) Loss 2.4637 (2.6391) Prec@1 35.938 (35.971) Prec@5 69.922 (66.280) Epoch: [14][5150/5809] Time 0.460 (0.343) Data 0.395 (0.267) Loss 2.7883 (2.6390) Prec@1 30.078 (35.972) Prec@5 64.453 (66.280) Epoch: [14][5160/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.8493 (2.6391) Prec@1 28.906 (35.969) Prec@5 60.547 (66.281) Epoch: [14][5170/5809] Time 0.493 (0.343) Data 0.427 (0.267) Loss 2.6230 (2.6391) Prec@1 35.547 (35.969) Prec@5 67.188 (66.282) Epoch: [14][5180/5809] Time 0.132 (0.343) Data 0.050 (0.267) Loss 2.5281 (2.6389) Prec@1 37.500 (35.969) Prec@5 67.188 (66.286) Epoch: [14][5190/5809] Time 0.256 (0.343) Data 0.195 (0.267) Loss 2.9454 (2.6389) Prec@1 28.906 (35.969) Prec@5 59.766 (66.286) Epoch: [14][5200/5809] Time 0.247 (0.343) Data 0.187 (0.267) Loss 2.5863 (2.6390) Prec@1 36.719 (35.967) Prec@5 70.703 (66.285) Epoch: [14][5210/5809] Time 0.327 (0.343) Data 0.268 (0.267) Loss 2.5699 (2.6391) Prec@1 37.891 (35.964) Prec@5 69.141 (66.282) Epoch: [14][5220/5809] Time 0.366 (0.343) Data 0.306 (0.267) Loss 2.7694 (2.6391) Prec@1 35.938 (35.962) Prec@5 62.891 (66.282) Epoch: [14][5230/5809] Time 0.225 (0.343) Data 0.163 (0.267) Loss 2.6974 (2.6391) Prec@1 38.672 (35.962) Prec@5 64.453 (66.283) Epoch: [14][5240/5809] Time 0.380 (0.343) Data 0.321 (0.267) Loss 2.6864 (2.6392) Prec@1 34.375 (35.959) Prec@5 64.062 (66.279) Epoch: [14][5250/5809] Time 0.280 (0.343) Data 0.220 (0.267) Loss 2.7427 (2.6392) Prec@1 31.250 (35.957) Prec@5 64.453 (66.281) Epoch: [14][5260/5809] Time 0.249 (0.343) Data 0.189 (0.267) Loss 2.6571 (2.6391) Prec@1 33.984 (35.956) Prec@5 64.844 (66.282) Epoch: [14][5270/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.5164 (2.6391) Prec@1 36.328 (35.955) Prec@5 67.188 (66.284) Epoch: [14][5280/5809] Time 0.529 (0.343) Data 0.468 (0.267) Loss 2.7983 (2.6392) Prec@1 31.641 (35.952) Prec@5 60.938 (66.283) Epoch: [14][5290/5809] Time 0.133 (0.343) Data 0.053 (0.267) Loss 2.8686 (2.6392) Prec@1 29.297 (35.951) Prec@5 62.109 (66.281) Epoch: [14][5300/5809] Time 0.759 (0.343) Data 0.700 (0.267) Loss 2.6908 (2.6393) Prec@1 33.203 (35.949) Prec@5 64.453 (66.279) Epoch: [14][5310/5809] Time 0.132 (0.343) Data 0.001 (0.267) Loss 2.5978 (2.6393) Prec@1 36.328 (35.951) Prec@5 66.797 (66.280) Epoch: [14][5320/5809] Time 0.923 (0.343) Data 0.855 (0.267) Loss 2.7283 (2.6393) Prec@1 33.203 (35.952) Prec@5 65.625 (66.280) Epoch: [14][5330/5809] Time 0.189 (0.343) Data 0.128 (0.267) Loss 2.4307 (2.6393) Prec@1 40.234 (35.952) Prec@5 69.531 (66.281) Epoch: [14][5340/5809] Time 0.822 (0.343) Data 0.762 (0.267) Loss 2.4998 (2.6391) Prec@1 37.500 (35.955) Prec@5 68.359 (66.285) Epoch: [14][5350/5809] Time 0.216 (0.343) Data 0.148 (0.267) Loss 2.6846 (2.6391) Prec@1 33.203 (35.954) Prec@5 64.844 (66.284) Epoch: [14][5360/5809] Time 0.783 (0.343) Data 0.724 (0.267) Loss 2.6602 (2.6390) Prec@1 34.766 (35.955) Prec@5 67.188 (66.287) Epoch: [14][5370/5809] Time 0.166 (0.343) Data 0.098 (0.267) Loss 2.7537 (2.6391) Prec@1 34.766 (35.953) Prec@5 66.406 (66.289) Epoch: [14][5380/5809] Time 0.938 (0.343) Data 0.878 (0.267) Loss 2.6763 (2.6391) Prec@1 32.812 (35.952) Prec@5 66.797 (66.290) Epoch: [14][5390/5809] Time 0.234 (0.343) Data 0.174 (0.267) Loss 2.6940 (2.6392) Prec@1 33.984 (35.953) Prec@5 64.844 (66.288) Epoch: [14][5400/5809] Time 0.720 (0.343) Data 0.660 (0.267) Loss 2.8168 (2.6392) Prec@1 31.641 (35.952) Prec@5 59.375 (66.286) Epoch: [14][5410/5809] Time 0.308 (0.343) Data 0.247 (0.267) Loss 2.6028 (2.6393) Prec@1 33.594 (35.951) Prec@5 67.188 (66.284) Epoch: [14][5420/5809] Time 0.507 (0.343) Data 0.446 (0.267) Loss 2.6288 (2.6393) Prec@1 37.500 (35.952) Prec@5 66.016 (66.285) Epoch: [14][5430/5809] Time 0.349 (0.343) Data 0.289 (0.267) Loss 2.4653 (2.6393) Prec@1 37.891 (35.954) Prec@5 71.094 (66.286) Epoch: [14][5440/5809] Time 0.352 (0.343) Data 0.291 (0.267) Loss 2.7424 (2.6392) Prec@1 34.766 (35.957) Prec@5 63.672 (66.286) Epoch: [14][5450/5809] Time 0.134 (0.343) Data 0.009 (0.267) Loss 2.6066 (2.6392) Prec@1 32.422 (35.959) Prec@5 66.406 (66.287) Epoch: [14][5460/5809] Time 0.563 (0.343) Data 0.503 (0.267) Loss 2.5435 (2.6392) Prec@1 37.891 (35.959) Prec@5 69.922 (66.285) Epoch: [14][5470/5809] Time 0.280 (0.343) Data 0.221 (0.267) Loss 2.5773 (2.6392) Prec@1 34.375 (35.959) Prec@5 69.922 (66.287) Epoch: [14][5480/5809] Time 0.460 (0.343) Data 0.399 (0.267) Loss 2.4428 (2.6391) Prec@1 41.016 (35.961) Prec@5 67.969 (66.288) Epoch: [14][5490/5809] Time 0.129 (0.343) Data 0.054 (0.267) Loss 2.7159 (2.6393) Prec@1 32.812 (35.957) Prec@5 62.500 (66.283) Epoch: [14][5500/5809] Time 0.139 (0.343) Data 0.078 (0.267) Loss 2.7243 (2.6392) Prec@1 35.547 (35.957) Prec@5 62.500 (66.286) Epoch: [14][5510/5809] Time 0.292 (0.343) Data 0.232 (0.267) Loss 2.6578 (2.6391) Prec@1 39.062 (35.960) Prec@5 66.016 (66.288) Epoch: [14][5520/5809] Time 0.134 (0.343) Data 0.001 (0.267) Loss 2.7042 (2.6392) Prec@1 31.250 (35.960) Prec@5 66.406 (66.284) Epoch: [14][5530/5809] Time 0.372 (0.343) Data 0.311 (0.267) Loss 2.6007 (2.6392) Prec@1 32.031 (35.958) Prec@5 67.188 (66.285) Epoch: [14][5540/5809] Time 0.133 (0.343) Data 0.001 (0.267) Loss 2.6816 (2.6392) Prec@1 37.109 (35.957) Prec@5 66.406 (66.285) Epoch: [14][5550/5809] Time 0.401 (0.343) Data 0.341 (0.267) Loss 2.6201 (2.6393) Prec@1 32.812 (35.958) Prec@5 67.188 (66.284) Epoch: [14][5560/5809] Time 0.336 (0.343) Data 0.275 (0.267) Loss 2.8072 (2.6393) Prec@1 29.297 (35.958) Prec@5 64.844 (66.286) Epoch: [14][5570/5809] Time 0.180 (0.343) Data 0.119 (0.267) Loss 2.9149 (2.6393) Prec@1 31.250 (35.957) Prec@5 59.766 (66.286) Epoch: [14][5580/5809] Time 0.418 (0.343) Data 0.358 (0.267) Loss 2.5144 (2.6392) Prec@1 34.766 (35.958) Prec@5 68.359 (66.288) Epoch: [14][5590/5809] Time 0.246 (0.343) Data 0.186 (0.267) Loss 2.7525 (2.6394) Prec@1 35.938 (35.956) Prec@5 65.234 (66.286) Epoch: [14][5600/5809] Time 0.291 (0.343) Data 0.230 (0.267) Loss 2.7226 (2.6394) Prec@1 35.156 (35.954) Prec@5 64.062 (66.285) Epoch: [14][5610/5809] Time 0.480 (0.343) Data 0.418 (0.267) Loss 2.6656 (2.6394) Prec@1 34.766 (35.955) Prec@5 66.797 (66.287) Epoch: [14][5620/5809] Time 0.228 (0.343) Data 0.168 (0.267) Loss 2.6258 (2.6394) Prec@1 33.203 (35.953) Prec@5 66.406 (66.285) Epoch: [14][5630/5809] Time 0.431 (0.343) Data 0.370 (0.267) Loss 2.4749 (2.6395) Prec@1 40.234 (35.952) Prec@5 69.922 (66.283) Epoch: [14][5640/5809] Time 0.129 (0.343) Data 0.041 (0.267) Loss 2.5917 (2.6394) Prec@1 41.016 (35.954) Prec@5 66.406 (66.284) Epoch: [14][5650/5809] Time 0.261 (0.343) Data 0.201 (0.267) Loss 2.3702 (2.6393) Prec@1 41.016 (35.953) Prec@5 71.094 (66.285) Epoch: [14][5660/5809] Time 0.223 (0.343) Data 0.162 (0.268) Loss 2.5910 (2.6394) Prec@1 33.203 (35.950) Prec@5 68.750 (66.285) Epoch: [14][5670/5809] Time 0.353 (0.343) Data 0.293 (0.268) Loss 2.6810 (2.6395) Prec@1 33.203 (35.948) Prec@5 64.062 (66.284) Epoch: [14][5680/5809] Time 0.133 (0.343) Data 0.001 (0.268) Loss 2.5849 (2.6396) Prec@1 36.328 (35.948) Prec@5 66.016 (66.285) Epoch: [14][5690/5809] Time 0.285 (0.343) Data 0.225 (0.268) Loss 2.7721 (2.6397) Prec@1 33.594 (35.949) Prec@5 65.234 (66.282) Epoch: [14][5700/5809] Time 0.133 (0.343) Data 0.001 (0.268) Loss 2.6685 (2.6397) Prec@1 35.156 (35.948) Prec@5 64.453 (66.278) Epoch: [14][5710/5809] Time 0.606 (0.343) Data 0.545 (0.268) Loss 2.6890 (2.6398) Prec@1 32.812 (35.946) Prec@5 66.797 (66.278) Epoch: [14][5720/5809] Time 0.274 (0.343) Data 0.213 (0.268) Loss 2.4532 (2.6397) Prec@1 36.719 (35.946) Prec@5 69.922 (66.279) Epoch: [14][5730/5809] Time 0.324 (0.343) Data 0.263 (0.268) Loss 2.8244 (2.6398) Prec@1 32.812 (35.943) Prec@5 60.938 (66.277) Epoch: [14][5740/5809] Time 0.133 (0.343) Data 0.066 (0.268) Loss 2.5019 (2.6398) Prec@1 36.328 (35.943) Prec@5 67.969 (66.275) Epoch: [14][5750/5809] Time 0.463 (0.343) Data 0.403 (0.267) Loss 2.5536 (2.6398) Prec@1 39.062 (35.946) Prec@5 70.312 (66.277) Epoch: [14][5760/5809] Time 0.135 (0.343) Data 0.073 (0.267) Loss 2.7251 (2.6398) Prec@1 34.766 (35.946) Prec@5 64.844 (66.278) Epoch: [14][5770/5809] Time 0.311 (0.343) Data 0.251 (0.267) Loss 2.7245 (2.6399) Prec@1 33.203 (35.946) Prec@5 64.453 (66.275) Epoch: [14][5780/5809] Time 0.191 (0.343) Data 0.130 (0.268) Loss 2.6791 (2.6399) Prec@1 36.328 (35.946) Prec@5 66.406 (66.274) Epoch: [14][5790/5809] Time 0.356 (0.343) Data 0.296 (0.268) Loss 2.6309 (2.6399) Prec@1 37.109 (35.945) Prec@5 68.359 (66.275) Epoch: [14][5800/5809] Time 0.357 (0.343) Data 0.297 (0.268) Loss 2.5978 (2.6400) Prec@1 37.891 (35.946) Prec@5 64.844 (66.274) Test: [0/143] Time 1.490 (1.490) Loss 1.7875 (1.7875) Prec@1 48.828 (48.828) Prec@5 85.938 (85.938) Test: [10/143] Time 0.056 (0.351) Loss 9.7932 (8.5650) Prec@1 0.000 (6.214) Prec@5 0.000 (14.986) Test: [20/143] Time 0.882 (0.334) Loss 10.5890 (9.4477) Prec@1 0.000 (3.348) Prec@5 0.391 (8.519) Test: [30/143] Time 0.056 (0.302) Loss 11.9017 (10.0037) Prec@1 0.000 (2.268) Prec@5 0.000 (5.985) Test: [40/143] Time 0.823 (0.302) Loss 9.8595 (10.0959) Prec@1 0.000 (1.753) Prec@5 1.953 (4.821) Test: [50/143] Time 0.056 (0.290) Loss 9.0747 (10.0898) Prec@1 0.391 (1.524) Prec@5 1.172 (4.986) Test: [60/143] Time 0.818 (0.294) Loss 11.6134 (10.2367) Prec@1 0.000 (1.287) Prec@5 0.781 (4.233) Test: [70/143] Time 0.117 (0.283) Loss 9.2917 (10.3277) Prec@1 0.000 (1.133) Prec@5 1.172 (3.802) Test: [80/143] Time 0.634 (0.286) Loss 8.8495 (10.3109) Prec@1 0.391 (1.056) Prec@5 0.391 (3.559) Test: [90/143] Time 0.056 (0.282) Loss 8.4663 (10.2184) Prec@1 1.172 (0.962) Prec@5 3.906 (3.361) Test: [100/143] Time 0.438 (0.284) Loss 10.5434 (10.1790) Prec@1 0.000 (0.886) Prec@5 0.000 (3.156) Test: [110/143] Time 0.118 (0.281) Loss 11.9974 (10.1698) Prec@1 0.000 (0.834) Prec@5 0.000 (3.019) Test: [120/143] Time 0.254 (0.282) Loss 13.3308 (10.2410) Prec@1 0.000 (0.794) Prec@5 0.000 (2.876) Test: [130/143] Time 0.232 (0.280) Loss 13.2653 (10.5295) Prec@1 0.000 (0.734) Prec@5 0.000 (2.657) Test: [140/143] Time 0.228 (0.280) Loss 15.6392 (10.8138) Prec@1 0.000 (0.682) Prec@5 0.000 (2.468) * Prec@1 0.674 Prec@5 2.442 Epoch: [15][0/5809] Time 2.308 (2.308) Data 2.246 (2.246) Loss 2.6347 (2.6347) Prec@1 37.500 (37.500) Prec@5 67.578 (67.578) Epoch: [15][10/5809] Time 0.145 (0.504) Data 0.001 (0.393) Loss 2.4788 (2.6304) Prec@1 41.406 (36.683) Prec@5 71.484 (65.625) Epoch: [15][20/5809] Time 0.990 (0.452) Data 0.929 (0.361) Loss 2.5920 (2.6245) Prec@1 37.109 (36.347) Prec@5 69.141 (65.792) Epoch: [15][30/5809] Time 0.126 (0.406) Data 0.001 (0.313) Loss 2.4414 (2.6083) Prec@1 42.969 (37.059) Prec@5 72.266 (66.646) Epoch: [15][40/5809] Time 1.033 (0.405) Data 0.967 (0.310) Loss 2.5264 (2.5915) Prec@1 35.156 (37.100) Prec@5 69.141 (67.026) Epoch: [15][50/5809] Time 0.140 (0.385) Data 0.001 (0.285) Loss 2.6262 (2.5973) Prec@1 36.328 (36.880) Prec@5 69.531 (67.188) Epoch: [15][60/5809] Time 0.997 (0.386) Data 0.936 (0.288) Loss 2.6828 (2.5938) Prec@1 35.938 (36.917) Prec@5 60.938 (67.373) Epoch: [15][70/5809] Time 0.135 (0.375) Data 0.001 (0.274) Loss 2.8131 (2.5964) Prec@1 31.250 (37.005) Prec@5 64.844 (67.347) Epoch: [15][80/5809] Time 0.910 (0.376) Data 0.846 (0.275) Loss 2.4271 (2.5990) Prec@1 39.062 (37.032) Prec@5 74.219 (67.265) Epoch: [15][90/5809] Time 0.135 (0.368) Data 0.001 (0.266) Loss 2.6862 (2.6007) Prec@1 34.766 (36.925) Prec@5 69.531 (67.200) Epoch: [15][100/5809] Time 0.909 (0.369) Data 0.848 (0.269) Loss 2.6309 (2.5954) Prec@1 36.719 (37.075) Prec@5 68.359 (67.269) Epoch: [15][110/5809] Time 0.341 (0.365) Data 0.272 (0.269) Loss 2.5995 (2.5948) Prec@1 39.453 (37.134) Prec@5 68.359 (67.339) Epoch: [15][120/5809] Time 0.665 (0.366) Data 0.605 (0.272) Loss 2.6904 (2.6030) Prec@1 38.672 (36.948) Prec@5 67.969 (67.136) Epoch: [15][130/5809] Time 0.607 (0.364) Data 0.548 (0.272) Loss 2.4977 (2.6047) Prec@1 37.500 (36.877) Prec@5 70.703 (67.122) Epoch: [15][140/5809] Time 0.303 (0.363) Data 0.243 (0.271) Loss 2.6202 (2.6076) Prec@1 34.766 (36.788) Prec@5 68.750 (67.074) Epoch: [15][150/5809] Time 0.489 (0.362) Data 0.430 (0.271) Loss 2.3193 (2.6070) Prec@1 40.625 (36.796) Prec@5 72.656 (67.128) Epoch: [15][160/5809] Time 0.344 (0.361) Data 0.283 (0.272) Loss 2.6275 (2.6053) Prec@1 39.062 (36.901) Prec@5 66.016 (67.110) Epoch: [15][170/5809] Time 0.659 (0.361) Data 0.598 (0.273) Loss 2.5611 (2.6082) Prec@1 36.328 (36.815) Prec@5 69.141 (67.041) Epoch: [15][180/5809] Time 0.158 (0.358) Data 0.099 (0.272) Loss 2.7115 (2.6083) Prec@1 34.375 (36.794) Prec@5 61.328 (67.045) Epoch: [15][190/5809] Time 0.619 (0.360) Data 0.557 (0.274) Loss 2.8565 (2.6107) Prec@1 35.547 (36.751) Prec@5 62.500 (66.987) Epoch: [15][200/5809] Time 0.132 (0.357) Data 0.041 (0.271) Loss 2.4718 (2.6106) Prec@1 40.625 (36.711) Prec@5 71.094 (67.028) Epoch: [15][210/5809] Time 0.240 (0.359) Data 0.179 (0.273) Loss 2.5661 (2.6118) Prec@1 34.766 (36.622) Prec@5 66.797 (66.962) Epoch: [15][220/5809] Time 0.133 (0.356) Data 0.049 (0.270) Loss 2.6161 (2.6136) Prec@1 35.547 (36.634) Prec@5 67.578 (66.952) Epoch: [15][230/5809] Time 0.241 (0.357) Data 0.181 (0.272) Loss 2.7312 (2.6150) Prec@1 34.375 (36.575) Prec@5 66.406 (66.922) Epoch: [15][240/5809] Time 0.127 (0.356) Data 0.063 (0.272) Loss 2.6016 (2.6151) Prec@1 39.453 (36.589) Prec@5 66.016 (66.923) Epoch: [15][250/5809] Time 0.162 (0.356) Data 0.102 (0.272) Loss 2.4065 (2.6124) Prec@1 44.141 (36.683) Prec@5 69.922 (66.926) Epoch: [15][260/5809] Time 0.132 (0.356) Data 0.001 (0.272) Loss 2.7640 (2.6123) Prec@1 35.547 (36.668) Prec@5 62.891 (66.900) Epoch: [15][270/5809] Time 0.323 (0.356) Data 0.264 (0.272) Loss 2.6686 (2.6118) Prec@1 34.766 (36.716) Prec@5 65.234 (66.898) Epoch: [15][280/5809] Time 0.133 (0.355) Data 0.056 (0.272) Loss 2.6914 (2.6107) Prec@1 39.062 (36.722) Prec@5 66.797 (66.930) Epoch: [15][290/5809] Time 0.399 (0.356) Data 0.332 (0.273) Loss 2.5463 (2.6120) Prec@1 36.719 (36.719) Prec@5 66.016 (66.902) Epoch: [15][300/5809] Time 0.157 (0.355) Data 0.096 (0.272) Loss 2.6139 (2.6124) Prec@1 37.109 (36.694) Prec@5 66.797 (66.899) Epoch: [15][310/5809] Time 0.641 (0.356) Data 0.581 (0.274) Loss 2.6068 (2.6126) Prec@1 37.500 (36.682) Prec@5 66.406 (66.891) Epoch: [15][320/5809] Time 0.134 (0.354) Data 0.012 (0.273) Loss 2.5908 (2.6125) Prec@1 37.500 (36.663) Prec@5 69.141 (66.886) Epoch: [15][330/5809] Time 0.356 (0.355) Data 0.297 (0.274) Loss 2.3636 (2.6100) Prec@1 38.672 (36.707) Prec@5 73.047 (66.941) Epoch: [15][340/5809] Time 0.135 (0.354) Data 0.058 (0.273) Loss 2.6440 (2.6106) Prec@1 33.984 (36.713) Prec@5 65.625 (66.931) Epoch: [15][350/5809] Time 0.512 (0.356) Data 0.452 (0.274) Loss 2.6806 (2.6116) Prec@1 33.594 (36.648) Prec@5 63.281 (66.957) Epoch: [15][360/5809] Time 0.132 (0.354) Data 0.001 (0.272) Loss 2.6145 (2.6104) Prec@1 36.328 (36.665) Prec@5 68.359 (66.981) Epoch: [15][370/5809] Time 0.434 (0.355) Data 0.367 (0.273) Loss 2.7554 (2.6105) Prec@1 37.500 (36.681) Prec@5 63.672 (66.992) Epoch: [15][380/5809] Time 0.132 (0.353) Data 0.001 (0.272) Loss 2.5946 (2.6111) Prec@1 37.891 (36.663) Prec@5 67.578 (66.988) Epoch: [15][390/5809] Time 0.338 (0.354) Data 0.271 (0.273) Loss 2.5773 (2.6099) Prec@1 37.109 (36.700) Prec@5 67.578 (67.003) Epoch: [15][400/5809] Time 0.133 (0.353) Data 0.001 (0.272) Loss 2.7061 (2.6098) Prec@1 33.984 (36.661) Prec@5 65.625 (66.992) Epoch: [15][410/5809] Time 0.169 (0.354) Data 0.109 (0.273) Loss 2.4355 (2.6093) Prec@1 38.672 (36.657) Prec@5 69.531 (66.993) Epoch: [15][420/5809] Time 0.134 (0.353) Data 0.067 (0.273) Loss 2.6999 (2.6098) Prec@1 35.156 (36.643) Prec@5 64.453 (66.990) Epoch: [15][430/5809] Time 0.133 (0.353) Data 0.039 (0.273) Loss 2.7305 (2.6106) Prec@1 32.812 (36.636) Prec@5 66.797 (66.997) Epoch: [15][440/5809] Time 0.441 (0.353) Data 0.382 (0.273) Loss 2.6781 (2.6086) Prec@1 36.719 (36.640) Prec@5 65.234 (67.022) Epoch: [15][450/5809] Time 0.138 (0.353) Data 0.001 (0.274) Loss 2.5343 (2.6069) Prec@1 38.672 (36.656) Prec@5 68.359 (67.067) Epoch: [15][460/5809] Time 0.465 (0.353) Data 0.405 (0.273) Loss 2.5452 (2.6070) Prec@1 37.109 (36.641) Prec@5 69.141 (67.060) Epoch: [15][470/5809] Time 0.139 (0.353) Data 0.001 (0.273) Loss 2.6072 (2.6061) Prec@1 38.672 (36.667) Prec@5 67.578 (67.081) Epoch: [15][480/5809] Time 0.259 (0.353) Data 0.200 (0.272) Loss 2.4818 (2.6050) Prec@1 39.453 (36.698) Prec@5 67.188 (67.084) Epoch: [15][490/5809] Time 0.308 (0.353) Data 0.248 (0.273) Loss 2.7288 (2.6052) Prec@1 34.375 (36.677) Prec@5 62.891 (67.079) Epoch: [15][500/5809] Time 0.290 (0.353) Data 0.230 (0.272) Loss 2.6073 (2.6059) Prec@1 36.719 (36.667) Prec@5 64.453 (67.057) Epoch: [15][510/5809] Time 0.237 (0.353) Data 0.169 (0.273) Loss 2.6259 (2.6063) Prec@1 38.672 (36.664) Prec@5 67.969 (67.062) Epoch: [15][520/5809] Time 0.278 (0.353) Data 0.218 (0.273) Loss 2.8316 (2.6072) Prec@1 30.859 (36.658) Prec@5 64.844 (67.031) Epoch: [15][530/5809] Time 0.130 (0.353) Data 0.053 (0.273) Loss 2.7929 (2.6082) Prec@1 35.156 (36.633) Prec@5 61.719 (66.998) Epoch: [15][540/5809] Time 0.231 (0.352) Data 0.170 (0.273) Loss 2.5964 (2.6086) Prec@1 35.938 (36.610) Prec@5 64.062 (66.985) Epoch: [15][550/5809] Time 0.174 (0.353) Data 0.113 (0.274) Loss 2.7550 (2.6082) Prec@1 33.203 (36.622) Prec@5 63.281 (67.007) Epoch: [15][560/5809] Time 0.133 (0.352) Data 0.039 (0.273) Loss 2.4546 (2.6081) Prec@1 38.672 (36.632) Prec@5 71.484 (67.019) Epoch: [15][570/5809] Time 0.157 (0.353) Data 0.097 (0.274) Loss 2.6558 (2.6090) Prec@1 33.984 (36.626) Prec@5 66.797 (66.980) Epoch: [15][580/5809] Time 0.131 (0.352) Data 0.042 (0.273) Loss 2.7516 (2.6097) Prec@1 34.766 (36.618) Prec@5 63.672 (66.966) Epoch: [15][590/5809] Time 0.132 (0.353) Data 0.056 (0.273) Loss 2.3679 (2.6100) Prec@1 42.578 (36.616) Prec@5 70.312 (66.966) Epoch: [15][600/5809] Time 0.130 (0.352) Data 0.041 (0.273) Loss 2.5445 (2.6096) Prec@1 37.891 (36.621) Prec@5 69.531 (66.986) Epoch: [15][610/5809] Time 0.160 (0.352) Data 0.100 (0.274) Loss 2.6258 (2.6106) Prec@1 33.594 (36.604) Prec@5 70.703 (66.959) Epoch: [15][620/5809] Time 0.133 (0.352) Data 0.001 (0.273) Loss 2.7553 (2.6105) Prec@1 39.062 (36.596) Prec@5 65.625 (66.953) Epoch: [15][630/5809] Time 0.134 (0.352) Data 0.001 (0.274) Loss 2.6430 (2.6115) Prec@1 33.594 (36.596) Prec@5 69.141 (66.934) Epoch: [15][640/5809] Time 0.334 (0.352) Data 0.275 (0.273) Loss 2.4829 (2.6103) Prec@1 39.062 (36.604) Prec@5 71.094 (66.956) Epoch: [15][650/5809] Time 0.140 (0.353) Data 0.001 (0.274) Loss 2.6476 (2.6113) Prec@1 34.375 (36.577) Prec@5 66.016 (66.940) Epoch: [15][660/5809] Time 0.479 (0.352) Data 0.419 (0.273) Loss 2.5415 (2.6115) Prec@1 39.062 (36.570) Prec@5 67.578 (66.958) Epoch: [15][670/5809] Time 0.137 (0.352) Data 0.050 (0.273) Loss 2.5564 (2.6115) Prec@1 37.891 (36.574) Prec@5 64.453 (66.953) Epoch: [15][680/5809] Time 0.235 (0.352) Data 0.176 (0.273) Loss 2.6303 (2.6111) Prec@1 36.719 (36.594) Prec@5 66.016 (66.974) Epoch: [15][690/5809] Time 0.128 (0.352) Data 0.062 (0.273) Loss 2.4178 (2.6108) Prec@1 38.672 (36.597) Prec@5 71.484 (66.971) Epoch: [15][700/5809] Time 0.487 (0.352) Data 0.427 (0.273) Loss 2.7280 (2.6110) Prec@1 35.156 (36.598) Prec@5 65.234 (66.968) Epoch: [15][710/5809] Time 0.398 (0.352) Data 0.340 (0.273) Loss 2.6512 (2.6109) Prec@1 35.547 (36.589) Prec@5 64.453 (66.954) Epoch: [15][720/5809] Time 0.300 (0.352) Data 0.242 (0.273) Loss 2.4467 (2.6108) Prec@1 39.453 (36.594) Prec@5 67.969 (66.949) Epoch: [15][730/5809] Time 0.528 (0.352) Data 0.468 (0.273) Loss 2.6803 (2.6103) Prec@1 35.156 (36.594) Prec@5 65.625 (66.964) Epoch: [15][740/5809] Time 0.200 (0.352) Data 0.139 (0.273) Loss 2.4691 (2.6108) Prec@1 36.719 (36.577) Prec@5 70.703 (66.950) Epoch: [15][750/5809] Time 0.750 (0.352) Data 0.689 (0.273) Loss 2.4829 (2.6114) Prec@1 36.328 (36.569) Prec@5 70.312 (66.932) Epoch: [15][760/5809] Time 0.407 (0.352) Data 0.340 (0.273) Loss 2.5276 (2.6117) Prec@1 34.766 (36.558) Prec@5 67.969 (66.919) Epoch: [15][770/5809] Time 0.648 (0.352) Data 0.589 (0.273) Loss 2.6812 (2.6124) Prec@1 35.156 (36.546) Prec@5 66.016 (66.906) Epoch: [15][780/5809] Time 0.465 (0.352) Data 0.404 (0.273) Loss 2.4377 (2.6121) Prec@1 37.109 (36.552) Prec@5 70.703 (66.922) Epoch: [15][790/5809] Time 0.815 (0.352) Data 0.755 (0.273) Loss 2.4352 (2.6114) Prec@1 39.844 (36.557) Prec@5 69.922 (66.933) Epoch: [15][800/5809] Time 0.412 (0.352) Data 0.345 (0.273) Loss 2.7753 (2.6117) Prec@1 34.375 (36.564) Prec@5 64.453 (66.918) Epoch: [15][810/5809] Time 0.595 (0.352) Data 0.535 (0.273) Loss 2.7827 (2.6117) Prec@1 31.250 (36.554) Prec@5 62.891 (66.917) Epoch: [15][820/5809] Time 0.133 (0.352) Data 0.047 (0.273) Loss 2.6054 (2.6118) Prec@1 41.016 (36.548) Prec@5 66.016 (66.916) Epoch: [15][830/5809] Time 0.465 (0.352) Data 0.405 (0.273) Loss 2.4940 (2.6125) Prec@1 36.328 (36.529) Prec@5 75.391 (66.907) Epoch: [15][840/5809] Time 0.134 (0.351) Data 0.001 (0.273) Loss 2.7491 (2.6125) Prec@1 33.594 (36.526) Prec@5 65.625 (66.918) Epoch: [15][850/5809] Time 0.414 (0.351) Data 0.354 (0.273) Loss 2.6184 (2.6130) Prec@1 37.500 (36.525) Prec@5 66.016 (66.900) Epoch: [15][860/5809] Time 0.133 (0.351) Data 0.001 (0.273) Loss 2.7446 (2.6140) Prec@1 36.719 (36.510) Prec@5 66.797 (66.872) Epoch: [15][870/5809] Time 0.263 (0.351) Data 0.203 (0.273) Loss 2.6443 (2.6140) Prec@1 35.938 (36.511) Prec@5 67.969 (66.879) Epoch: [15][880/5809] Time 0.258 (0.351) Data 0.199 (0.273) Loss 2.5517 (2.6141) Prec@1 37.500 (36.508) Prec@5 65.234 (66.875) Epoch: [15][890/5809] Time 0.362 (0.351) Data 0.302 (0.274) Loss 2.5056 (2.6139) Prec@1 36.719 (36.496) Prec@5 70.703 (66.880) Epoch: [15][900/5809] Time 0.511 (0.351) Data 0.452 (0.274) Loss 2.6480 (2.6144) Prec@1 30.469 (36.476) Prec@5 66.797 (66.870) Epoch: [15][910/5809] Time 0.127 (0.351) Data 0.048 (0.273) Loss 2.7342 (2.6142) Prec@1 33.984 (36.476) Prec@5 65.234 (66.876) Epoch: [15][920/5809] Time 0.251 (0.351) Data 0.192 (0.274) Loss 2.6655 (2.6144) Prec@1 37.109 (36.474) Prec@5 67.188 (66.872) Epoch: [15][930/5809] Time 0.134 (0.351) Data 0.001 (0.273) Loss 2.7902 (2.6143) Prec@1 33.594 (36.468) Prec@5 61.328 (66.877) Epoch: [15][940/5809] Time 0.166 (0.351) Data 0.105 (0.273) Loss 2.7348 (2.6145) Prec@1 32.422 (36.462) Prec@5 66.797 (66.875) Epoch: [15][950/5809] Time 0.134 (0.351) Data 0.001 (0.272) Loss 2.6494 (2.6142) Prec@1 36.719 (36.468) Prec@5 64.844 (66.873) Epoch: [15][960/5809] Time 0.170 (0.351) Data 0.110 (0.272) Loss 2.6098 (2.6142) Prec@1 34.766 (36.472) Prec@5 63.281 (66.876) Epoch: [15][970/5809] Time 0.133 (0.351) Data 0.045 (0.272) Loss 2.6187 (2.6144) Prec@1 31.641 (36.458) Prec@5 67.578 (66.865) Epoch: [15][980/5809] Time 0.132 (0.351) Data 0.052 (0.272) Loss 2.7562 (2.6144) Prec@1 34.766 (36.465) Prec@5 65.625 (66.877) Epoch: [15][990/5809] Time 0.133 (0.351) Data 0.001 (0.272) Loss 2.5571 (2.6142) Prec@1 37.109 (36.462) Prec@5 71.094 (66.888) Epoch: [15][1000/5809] Time 0.131 (0.351) Data 0.053 (0.272) Loss 2.5725 (2.6140) Prec@1 36.719 (36.458) Prec@5 66.797 (66.890) Epoch: [15][1010/5809] Time 0.159 (0.350) Data 0.098 (0.271) Loss 2.6507 (2.6141) Prec@1 36.719 (36.459) Prec@5 67.578 (66.895) Epoch: [15][1020/5809] Time 0.127 (0.350) Data 0.052 (0.272) Loss 2.4438 (2.6139) Prec@1 40.625 (36.463) Prec@5 69.141 (66.886) Epoch: [15][1030/5809] Time 0.271 (0.350) Data 0.211 (0.271) Loss 2.4437 (2.6139) Prec@1 43.359 (36.466) Prec@5 69.922 (66.876) Epoch: [15][1040/5809] Time 0.132 (0.350) Data 0.001 (0.271) Loss 2.3828 (2.6141) Prec@1 38.672 (36.461) Prec@5 74.219 (66.874) Epoch: [15][1050/5809] Time 0.368 (0.350) Data 0.307 (0.271) Loss 2.6787 (2.6139) Prec@1 35.938 (36.465) Prec@5 61.719 (66.875) Epoch: [15][1060/5809] Time 0.141 (0.350) Data 0.001 (0.271) Loss 2.5567 (2.6143) Prec@1 38.672 (36.462) Prec@5 66.016 (66.860) Epoch: [15][1070/5809] Time 0.360 (0.350) Data 0.299 (0.271) Loss 2.7522 (2.6143) Prec@1 29.297 (36.463) Prec@5 62.109 (66.861) Epoch: [15][1080/5809] Time 0.141 (0.350) Data 0.001 (0.271) Loss 2.6526 (2.6144) Prec@1 34.766 (36.447) Prec@5 64.844 (66.852) Epoch: [15][1090/5809] Time 0.243 (0.350) Data 0.183 (0.271) Loss 2.5124 (2.6146) Prec@1 38.672 (36.443) Prec@5 67.969 (66.833) Epoch: [15][1100/5809] Time 0.133 (0.350) Data 0.001 (0.271) Loss 2.5829 (2.6140) Prec@1 33.984 (36.451) Prec@5 67.969 (66.835) Epoch: [15][1110/5809] Time 0.313 (0.350) Data 0.253 (0.270) Loss 2.9359 (2.6140) Prec@1 33.594 (36.457) Prec@5 61.328 (66.843) Epoch: [15][1120/5809] Time 0.133 (0.350) Data 0.001 (0.270) Loss 2.7447 (2.6147) Prec@1 37.109 (36.448) Prec@5 67.969 (66.828) Epoch: [15][1130/5809] Time 0.286 (0.350) Data 0.226 (0.270) Loss 2.7752 (2.6151) Prec@1 33.203 (36.447) Prec@5 60.547 (66.825) Epoch: [15][1140/5809] Time 0.176 (0.349) Data 0.115 (0.270) Loss 2.6491 (2.6155) Prec@1 36.719 (36.448) Prec@5 66.406 (66.819) Epoch: [15][1150/5809] Time 0.200 (0.349) Data 0.141 (0.270) Loss 2.5337 (2.6153) Prec@1 34.375 (36.461) Prec@5 67.188 (66.820) Epoch: [15][1160/5809] Time 0.140 (0.349) Data 0.079 (0.270) Loss 2.6537 (2.6151) Prec@1 32.812 (36.457) Prec@5 67.188 (66.827) Epoch: [15][1170/5809] Time 0.189 (0.349) Data 0.128 (0.271) Loss 2.5024 (2.6154) Prec@1 40.234 (36.455) Prec@5 68.750 (66.822) Epoch: [15][1180/5809] Time 0.205 (0.349) Data 0.144 (0.271) Loss 2.7377 (2.6152) Prec@1 35.547 (36.460) Prec@5 61.719 (66.823) Epoch: [15][1190/5809] Time 0.146 (0.349) Data 0.085 (0.271) Loss 2.5164 (2.6152) Prec@1 39.062 (36.472) Prec@5 66.016 (66.828) Epoch: [15][1200/5809] Time 0.210 (0.349) Data 0.150 (0.271) Loss 2.5515 (2.6152) Prec@1 42.578 (36.487) Prec@5 66.406 (66.822) Epoch: [15][1210/5809] Time 0.134 (0.349) Data 0.001 (0.271) Loss 2.5211 (2.6152) Prec@1 37.109 (36.488) Prec@5 64.844 (66.820) Epoch: [15][1220/5809] Time 0.199 (0.349) Data 0.138 (0.271) Loss 2.2214 (2.6148) Prec@1 44.141 (36.500) Prec@5 75.000 (66.829) Epoch: [15][1230/5809] Time 0.157 (0.349) Data 0.095 (0.271) Loss 2.4748 (2.6148) Prec@1 35.938 (36.501) Prec@5 67.969 (66.834) Epoch: [15][1240/5809] Time 0.133 (0.349) Data 0.001 (0.270) Loss 2.6390 (2.6148) Prec@1 33.984 (36.497) Prec@5 67.969 (66.837) Epoch: [15][1250/5809] Time 0.133 (0.349) Data 0.001 (0.270) Loss 2.8038 (2.6153) Prec@1 34.766 (36.491) Prec@5 62.891 (66.819) Epoch: [15][1260/5809] Time 0.133 (0.349) Data 0.001 (0.270) Loss 2.7726 (2.6154) Prec@1 34.766 (36.491) Prec@5 62.109 (66.820) Epoch: [15][1270/5809] Time 0.141 (0.349) Data 0.080 (0.270) Loss 2.7386 (2.6153) Prec@1 32.812 (36.488) Prec@5 63.672 (66.826) Epoch: [15][1280/5809] Time 0.213 (0.349) Data 0.152 (0.270) Loss 2.7555 (2.6156) Prec@1 32.422 (36.473) Prec@5 67.969 (66.820) Epoch: [15][1290/5809] Time 0.412 (0.349) Data 0.345 (0.270) Loss 2.5026 (2.6157) Prec@1 37.109 (36.459) Prec@5 67.188 (66.811) Epoch: [15][1300/5809] Time 0.386 (0.349) Data 0.325 (0.270) Loss 2.5761 (2.6156) Prec@1 37.109 (36.460) Prec@5 67.188 (66.819) Epoch: [15][1310/5809] Time 0.483 (0.349) Data 0.424 (0.271) Loss 2.5911 (2.6155) Prec@1 40.234 (36.457) Prec@5 67.188 (66.821) Epoch: [15][1320/5809] Time 0.134 (0.349) Data 0.001 (0.271) Loss 2.6896 (2.6157) Prec@1 36.328 (36.453) Prec@5 65.234 (66.817) Epoch: [15][1330/5809] Time 0.761 (0.349) Data 0.699 (0.271) Loss 2.6078 (2.6155) Prec@1 36.719 (36.455) Prec@5 67.578 (66.822) Epoch: [15][1340/5809] Time 0.127 (0.349) Data 0.047 (0.271) Loss 2.7844 (2.6156) Prec@1 29.297 (36.457) Prec@5 64.062 (66.825) Epoch: [15][1350/5809] Time 0.739 (0.349) Data 0.678 (0.271) Loss 2.6798 (2.6160) Prec@1 36.719 (36.451) Prec@5 64.453 (66.814) Epoch: [15][1360/5809] Time 0.141 (0.349) Data 0.080 (0.271) Loss 2.5891 (2.6159) Prec@1 32.812 (36.446) Prec@5 64.844 (66.810) Epoch: [15][1370/5809] Time 0.801 (0.349) Data 0.740 (0.271) Loss 2.3709 (2.6155) Prec@1 38.672 (36.440) Prec@5 72.656 (66.819) Epoch: [15][1380/5809] Time 0.131 (0.349) Data 0.052 (0.271) Loss 2.7300 (2.6156) Prec@1 34.766 (36.436) Prec@5 65.625 (66.813) Epoch: [15][1390/5809] Time 1.026 (0.349) Data 0.965 (0.271) Loss 2.5292 (2.6162) Prec@1 38.672 (36.430) Prec@5 68.359 (66.799) Epoch: [15][1400/5809] Time 0.132 (0.349) Data 0.042 (0.270) Loss 2.6358 (2.6170) Prec@1 35.156 (36.420) Prec@5 67.578 (66.782) Epoch: [15][1410/5809] Time 1.006 (0.349) Data 0.946 (0.271) Loss 2.8920 (2.6171) Prec@1 34.375 (36.429) Prec@5 57.422 (66.776) Epoch: [15][1420/5809] Time 0.140 (0.349) Data 0.001 (0.270) Loss 2.7025 (2.6168) Prec@1 34.375 (36.433) Prec@5 64.844 (66.778) Epoch: [15][1430/5809] Time 0.910 (0.349) Data 0.849 (0.271) Loss 2.5526 (2.6169) Prec@1 35.938 (36.439) Prec@5 68.750 (66.772) Epoch: [15][1440/5809] Time 0.131 (0.349) Data 0.001 (0.270) Loss 2.3013 (2.6169) Prec@1 46.484 (36.442) Prec@5 75.000 (66.771) Epoch: [15][1450/5809] Time 1.136 (0.349) Data 1.076 (0.271) Loss 2.5980 (2.6172) Prec@1 34.375 (36.432) Prec@5 67.578 (66.759) Epoch: [15][1460/5809] Time 0.153 (0.349) Data 0.087 (0.270) Loss 2.4581 (2.6175) Prec@1 42.969 (36.428) Prec@5 69.531 (66.757) Epoch: [15][1470/5809] Time 0.832 (0.349) Data 0.772 (0.270) Loss 2.4642 (2.6171) Prec@1 41.797 (36.438) Prec@5 70.312 (66.766) Epoch: [15][1480/5809] Time 0.184 (0.349) Data 0.123 (0.270) Loss 2.7234 (2.6172) Prec@1 37.500 (36.440) Prec@5 63.672 (66.766) Epoch: [15][1490/5809] Time 0.875 (0.349) Data 0.814 (0.270) Loss 2.7879 (2.6176) Prec@1 33.203 (36.434) Prec@5 63.672 (66.759) Epoch: [15][1500/5809] Time 0.142 (0.349) Data 0.054 (0.270) Loss 2.6212 (2.6178) Prec@1 38.281 (36.431) Prec@5 64.062 (66.749) Epoch: [15][1510/5809] Time 0.819 (0.349) Data 0.758 (0.270) Loss 2.6466 (2.6181) Prec@1 35.547 (36.424) Prec@5 66.406 (66.740) Epoch: [15][1520/5809] Time 0.139 (0.348) Data 0.077 (0.270) Loss 2.8027 (2.6186) Prec@1 34.766 (36.413) Prec@5 64.453 (66.729) Epoch: [15][1530/5809] Time 0.748 (0.349) Data 0.688 (0.270) Loss 2.8199 (2.6185) Prec@1 33.203 (36.417) Prec@5 62.500 (66.731) Epoch: [15][1540/5809] Time 0.160 (0.348) Data 0.100 (0.270) Loss 2.7035 (2.6188) Prec@1 35.547 (36.416) Prec@5 66.797 (66.732) Epoch: [15][1550/5809] Time 1.091 (0.349) Data 1.030 (0.270) Loss 2.6858 (2.6189) Prec@1 32.031 (36.409) Prec@5 66.016 (66.723) Epoch: [15][1560/5809] Time 0.209 (0.348) Data 0.148 (0.270) Loss 2.7556 (2.6193) Prec@1 35.938 (36.393) Prec@5 66.016 (66.713) Epoch: [15][1570/5809] Time 0.705 (0.348) Data 0.645 (0.270) Loss 2.6228 (2.6192) Prec@1 39.844 (36.396) Prec@5 71.484 (66.719) Epoch: [15][1580/5809] Time 0.127 (0.348) Data 0.054 (0.270) Loss 2.5949 (2.6192) Prec@1 34.766 (36.392) Prec@5 66.797 (66.723) Epoch: [15][1590/5809] Time 0.529 (0.348) Data 0.469 (0.270) Loss 2.3825 (2.6192) Prec@1 43.750 (36.388) Prec@5 69.922 (66.723) Epoch: [15][1600/5809] Time 0.133 (0.348) Data 0.001 (0.270) Loss 2.7167 (2.6190) Prec@1 33.984 (36.390) Prec@5 64.453 (66.720) Epoch: [15][1610/5809] Time 0.551 (0.348) Data 0.490 (0.270) Loss 2.8433 (2.6188) Prec@1 28.906 (36.384) Prec@5 61.719 (66.724) Epoch: [15][1620/5809] Time 0.140 (0.348) Data 0.001 (0.270) Loss 2.6861 (2.6189) Prec@1 34.375 (36.383) Prec@5 68.359 (66.724) Epoch: [15][1630/5809] Time 0.677 (0.348) Data 0.616 (0.270) Loss 2.6599 (2.6185) Prec@1 37.500 (36.393) Prec@5 66.797 (66.734) Epoch: [15][1640/5809] Time 0.133 (0.348) Data 0.001 (0.270) Loss 2.5239 (2.6186) Prec@1 39.844 (36.393) Prec@5 67.578 (66.730) Epoch: [15][1650/5809] Time 0.681 (0.348) Data 0.621 (0.270) Loss 2.5924 (2.6184) Prec@1 37.500 (36.398) Prec@5 65.625 (66.737) Epoch: [15][1660/5809] Time 0.133 (0.348) Data 0.001 (0.269) Loss 2.4782 (2.6184) Prec@1 34.375 (36.391) Prec@5 71.875 (66.741) Epoch: [15][1670/5809] Time 0.678 (0.348) Data 0.618 (0.270) Loss 2.7678 (2.6185) Prec@1 33.984 (36.391) Prec@5 60.547 (66.738) Epoch: [15][1680/5809] Time 0.132 (0.348) Data 0.039 (0.269) Loss 2.5978 (2.6186) Prec@1 42.188 (36.392) Prec@5 66.406 (66.742) Epoch: [15][1690/5809] Time 0.629 (0.348) Data 0.569 (0.269) Loss 2.5432 (2.6187) Prec@1 35.547 (36.394) Prec@5 68.750 (66.745) Epoch: [15][1700/5809] Time 0.134 (0.348) Data 0.001 (0.269) Loss 2.7379 (2.6188) Prec@1 35.938 (36.393) Prec@5 66.016 (66.742) Epoch: [15][1710/5809] Time 0.823 (0.348) Data 0.756 (0.270) Loss 2.6563 (2.6184) Prec@1 35.156 (36.398) Prec@5 64.844 (66.753) Epoch: [15][1720/5809] Time 0.285 (0.348) Data 0.225 (0.269) Loss 2.4486 (2.6188) Prec@1 37.891 (36.390) Prec@5 67.969 (66.743) Epoch: [15][1730/5809] Time 0.839 (0.348) Data 0.778 (0.269) Loss 2.6516 (2.6191) Prec@1 34.375 (36.384) Prec@5 65.625 (66.732) Epoch: [15][1740/5809] Time 0.232 (0.348) Data 0.171 (0.269) Loss 2.6024 (2.6193) Prec@1 34.766 (36.388) Prec@5 69.141 (66.725) Epoch: [15][1750/5809] Time 0.835 (0.348) Data 0.774 (0.269) Loss 2.5245 (2.6191) Prec@1 38.281 (36.391) Prec@5 68.750 (66.728) Epoch: [15][1760/5809] Time 0.202 (0.348) Data 0.142 (0.269) Loss 2.5701 (2.6188) Prec@1 32.812 (36.391) Prec@5 69.141 (66.733) Epoch: [15][1770/5809] Time 0.698 (0.348) Data 0.633 (0.269) Loss 2.5995 (2.6187) Prec@1 36.719 (36.389) Prec@5 63.672 (66.736) Epoch: [15][1780/5809] Time 0.134 (0.347) Data 0.062 (0.269) Loss 2.6493 (2.6187) Prec@1 37.891 (36.393) Prec@5 63.672 (66.730) Epoch: [15][1790/5809] Time 0.682 (0.348) Data 0.621 (0.269) Loss 2.7814 (2.6190) Prec@1 35.156 (36.389) Prec@5 61.328 (66.724) Epoch: [15][1800/5809] Time 0.359 (0.347) Data 0.298 (0.269) Loss 2.4967 (2.6187) Prec@1 41.797 (36.393) Prec@5 68.750 (66.732) Epoch: [15][1810/5809] Time 0.499 (0.347) Data 0.439 (0.269) Loss 2.9002 (2.6191) Prec@1 30.078 (36.389) Prec@5 59.375 (66.722) Epoch: [15][1820/5809] Time 0.260 (0.347) Data 0.200 (0.269) Loss 2.6260 (2.6191) Prec@1 34.766 (36.377) Prec@5 67.188 (66.720) Epoch: [15][1830/5809] Time 0.459 (0.347) Data 0.398 (0.269) Loss 2.6606 (2.6192) Prec@1 39.062 (36.379) Prec@5 65.625 (66.719) Epoch: [15][1840/5809] Time 0.133 (0.347) Data 0.001 (0.269) Loss 2.6525 (2.6193) Prec@1 35.547 (36.375) Prec@5 67.969 (66.724) Epoch: [15][1850/5809] Time 0.514 (0.347) Data 0.453 (0.269) Loss 2.8319 (2.6194) Prec@1 28.125 (36.369) Prec@5 62.500 (66.718) Epoch: [15][1860/5809] Time 0.229 (0.347) Data 0.169 (0.269) Loss 2.5680 (2.6196) Prec@1 33.203 (36.363) Prec@5 68.359 (66.714) Epoch: [15][1870/5809] Time 0.712 (0.348) Data 0.651 (0.269) Loss 2.7083 (2.6198) Prec@1 33.203 (36.358) Prec@5 64.062 (66.714) Epoch: [15][1880/5809] Time 0.133 (0.347) Data 0.001 (0.269) Loss 2.7811 (2.6198) Prec@1 32.812 (36.355) Prec@5 60.938 (66.712) Epoch: [15][1890/5809] Time 0.445 (0.347) Data 0.385 (0.269) Loss 2.7149 (2.6200) Prec@1 35.156 (36.351) Prec@5 61.719 (66.707) Epoch: [15][1900/5809] Time 0.486 (0.348) Data 0.426 (0.269) Loss 2.6769 (2.6199) Prec@1 35.547 (36.353) Prec@5 66.016 (66.712) Epoch: [15][1910/5809] Time 0.436 (0.347) Data 0.375 (0.269) Loss 2.6527 (2.6200) Prec@1 40.234 (36.356) Prec@5 64.453 (66.710) Epoch: [15][1920/5809] Time 0.484 (0.347) Data 0.423 (0.269) Loss 2.5822 (2.6204) Prec@1 34.375 (36.345) Prec@5 67.969 (66.705) Epoch: [15][1930/5809] Time 0.540 (0.347) Data 0.480 (0.269) Loss 2.8168 (2.6207) Prec@1 32.812 (36.341) Prec@5 60.938 (66.698) Epoch: [15][1940/5809] Time 0.471 (0.347) Data 0.410 (0.269) Loss 2.4482 (2.6207) Prec@1 37.891 (36.344) Prec@5 69.531 (66.696) Epoch: [15][1950/5809] Time 0.383 (0.347) Data 0.322 (0.269) Loss 2.6553 (2.6204) Prec@1 35.156 (36.351) Prec@5 65.625 (66.706) Epoch: [15][1960/5809] Time 0.498 (0.347) Data 0.437 (0.269) Loss 2.4461 (2.6204) Prec@1 39.062 (36.352) Prec@5 71.875 (66.709) Epoch: [15][1970/5809] Time 0.347 (0.347) Data 0.286 (0.269) Loss 2.5810 (2.6204) Prec@1 35.156 (36.346) Prec@5 65.234 (66.714) Epoch: [15][1980/5809] Time 0.411 (0.347) Data 0.350 (0.269) Loss 2.5688 (2.6204) Prec@1 36.719 (36.341) Prec@5 67.188 (66.716) Epoch: [15][1990/5809] Time 0.508 (0.347) Data 0.448 (0.269) Loss 2.4331 (2.6207) Prec@1 41.406 (36.337) Prec@5 69.922 (66.713) Epoch: [15][2000/5809] Time 0.208 (0.347) Data 0.147 (0.269) Loss 2.7488 (2.6206) Prec@1 35.547 (36.343) Prec@5 66.406 (66.713) Epoch: [15][2010/5809] Time 0.441 (0.347) Data 0.380 (0.270) Loss 2.7814 (2.6208) Prec@1 31.641 (36.341) Prec@5 62.500 (66.709) Epoch: [15][2020/5809] Time 0.204 (0.347) Data 0.143 (0.269) Loss 2.6234 (2.6213) Prec@1 39.453 (36.331) Prec@5 65.625 (66.697) Epoch: [15][2030/5809] Time 0.141 (0.347) Data 0.052 (0.270) Loss 2.6076 (2.6215) Prec@1 33.984 (36.326) Prec@5 69.531 (66.697) Epoch: [15][2040/5809] Time 0.453 (0.347) Data 0.392 (0.270) Loss 2.5623 (2.6212) Prec@1 38.281 (36.333) Prec@5 66.406 (66.705) Epoch: [15][2050/5809] Time 0.141 (0.347) Data 0.001 (0.270) Loss 2.8888 (2.6213) Prec@1 31.641 (36.332) Prec@5 63.672 (66.705) Epoch: [15][2060/5809] Time 0.132 (0.347) Data 0.050 (0.269) Loss 2.5346 (2.6213) Prec@1 35.938 (36.331) Prec@5 66.016 (66.701) Epoch: [15][2070/5809] Time 0.140 (0.347) Data 0.001 (0.269) Loss 2.7476 (2.6212) Prec@1 34.766 (36.336) Prec@5 66.016 (66.701) Epoch: [15][2080/5809] Time 0.134 (0.347) Data 0.001 (0.269) Loss 2.4654 (2.6212) Prec@1 38.281 (36.330) Prec@5 70.703 (66.703) Epoch: [15][2090/5809] Time 0.403 (0.347) Data 0.336 (0.269) Loss 2.6915 (2.6212) Prec@1 34.375 (36.324) Prec@5 62.500 (66.700) Epoch: [15][2100/5809] Time 0.133 (0.347) Data 0.001 (0.269) Loss 2.6459 (2.6213) Prec@1 36.328 (36.323) Prec@5 63.281 (66.698) Epoch: [15][2110/5809] Time 0.445 (0.347) Data 0.380 (0.269) Loss 2.7665 (2.6212) Prec@1 35.938 (36.330) Prec@5 65.625 (66.693) Epoch: [15][2120/5809] Time 0.135 (0.347) Data 0.073 (0.269) Loss 2.4551 (2.6211) Prec@1 37.500 (36.331) Prec@5 70.703 (66.701) Epoch: [15][2130/5809] Time 0.602 (0.347) Data 0.541 (0.269) Loss 2.6454 (2.6211) Prec@1 34.766 (36.328) Prec@5 67.578 (66.701) Epoch: [15][2140/5809] Time 0.273 (0.347) Data 0.213 (0.269) Loss 2.5595 (2.6212) Prec@1 36.719 (36.331) Prec@5 69.531 (66.697) Epoch: [15][2150/5809] Time 0.722 (0.347) Data 0.662 (0.269) Loss 2.5284 (2.6210) Prec@1 36.328 (36.337) Prec@5 66.406 (66.699) Epoch: [15][2160/5809] Time 0.149 (0.347) Data 0.088 (0.269) Loss 2.6922 (2.6207) Prec@1 35.156 (36.339) Prec@5 65.234 (66.701) Epoch: [15][2170/5809] Time 0.854 (0.347) Data 0.787 (0.269) Loss 2.6225 (2.6209) Prec@1 34.766 (36.336) Prec@5 66.406 (66.702) Epoch: [15][2180/5809] Time 0.133 (0.347) Data 0.001 (0.269) Loss 2.7489 (2.6212) Prec@1 33.984 (36.328) Prec@5 64.844 (66.700) Epoch: [15][2190/5809] Time 0.820 (0.347) Data 0.759 (0.269) Loss 2.6920 (2.6216) Prec@1 36.328 (36.320) Prec@5 65.234 (66.691) Epoch: [15][2200/5809] Time 0.312 (0.347) Data 0.253 (0.269) Loss 2.6861 (2.6216) Prec@1 37.109 (36.321) Prec@5 65.234 (66.687) Epoch: [15][2210/5809] Time 0.470 (0.347) Data 0.410 (0.269) Loss 2.5573 (2.6217) Prec@1 36.328 (36.318) Prec@5 67.969 (66.681) Epoch: [15][2220/5809] Time 0.133 (0.347) Data 0.051 (0.269) Loss 2.6270 (2.6214) Prec@1 36.328 (36.322) Prec@5 68.750 (66.687) Epoch: [15][2230/5809] Time 0.691 (0.347) Data 0.625 (0.269) Loss 2.5261 (2.6214) Prec@1 36.719 (36.320) Prec@5 70.312 (66.688) Epoch: [15][2240/5809] Time 0.133 (0.347) Data 0.051 (0.269) Loss 2.5206 (2.6214) Prec@1 35.156 (36.317) Prec@5 68.750 (66.688) Epoch: [15][2250/5809] Time 0.477 (0.347) Data 0.416 (0.269) Loss 2.5790 (2.6216) Prec@1 37.500 (36.312) Prec@5 68.750 (66.683) Epoch: [15][2260/5809] Time 0.157 (0.347) Data 0.096 (0.269) Loss 2.7695 (2.6219) Prec@1 36.328 (36.311) Prec@5 64.062 (66.675) Epoch: [15][2270/5809] Time 0.452 (0.347) Data 0.393 (0.269) Loss 2.5691 (2.6222) Prec@1 37.109 (36.299) Prec@5 66.406 (66.669) Epoch: [15][2280/5809] Time 0.298 (0.347) Data 0.238 (0.269) Loss 2.6198 (2.6222) Prec@1 35.938 (36.294) Prec@5 67.188 (66.673) Epoch: [15][2290/5809] Time 0.513 (0.347) Data 0.452 (0.269) Loss 2.7313 (2.6223) Prec@1 32.422 (36.292) Prec@5 61.719 (66.670) Epoch: [15][2300/5809] Time 0.197 (0.347) Data 0.136 (0.269) Loss 2.8538 (2.6225) Prec@1 29.688 (36.289) Prec@5 60.938 (66.668) Epoch: [15][2310/5809] Time 0.572 (0.347) Data 0.511 (0.269) Loss 2.5633 (2.6225) Prec@1 36.328 (36.287) Prec@5 68.750 (66.668) Epoch: [15][2320/5809] Time 0.170 (0.347) Data 0.110 (0.269) Loss 2.3550 (2.6225) Prec@1 42.578 (36.287) Prec@5 71.875 (66.665) Epoch: [15][2330/5809] Time 0.759 (0.347) Data 0.698 (0.270) Loss 2.3862 (2.6223) Prec@1 37.891 (36.288) Prec@5 71.094 (66.667) Epoch: [15][2340/5809] Time 0.264 (0.347) Data 0.203 (0.269) Loss 2.6489 (2.6226) Prec@1 36.719 (36.278) Prec@5 66.016 (66.661) Epoch: [15][2350/5809] Time 0.929 (0.347) Data 0.868 (0.270) Loss 2.6601 (2.6225) Prec@1 38.281 (36.284) Prec@5 65.234 (66.662) Epoch: [15][2360/5809] Time 0.135 (0.347) Data 0.072 (0.269) Loss 2.6377 (2.6225) Prec@1 39.062 (36.283) Prec@5 65.625 (66.662) Epoch: [15][2370/5809] Time 0.729 (0.347) Data 0.668 (0.270) Loss 2.5975 (2.6225) Prec@1 34.375 (36.281) Prec@5 65.625 (66.659) Epoch: [15][2380/5809] Time 0.289 (0.347) Data 0.230 (0.269) Loss 2.7034 (2.6227) Prec@1 30.078 (36.280) Prec@5 64.844 (66.651) Epoch: [15][2390/5809] Time 0.919 (0.347) Data 0.859 (0.270) Loss 2.5782 (2.6229) Prec@1 40.234 (36.279) Prec@5 69.531 (66.649) Epoch: [15][2400/5809] Time 0.134 (0.347) Data 0.042 (0.269) Loss 2.6265 (2.6231) Prec@1 36.328 (36.274) Prec@5 65.625 (66.645) Epoch: [15][2410/5809] Time 0.704 (0.347) Data 0.643 (0.269) Loss 2.4687 (2.6232) Prec@1 41.406 (36.273) Prec@5 69.531 (66.640) Epoch: [15][2420/5809] Time 0.133 (0.347) Data 0.057 (0.269) Loss 2.6268 (2.6233) Prec@1 33.594 (36.274) Prec@5 67.578 (66.636) Epoch: [15][2430/5809] Time 0.417 (0.347) Data 0.356 (0.269) Loss 2.9389 (2.6236) Prec@1 31.641 (36.271) Prec@5 58.984 (66.632) Epoch: [15][2440/5809] Time 0.182 (0.347) Data 0.118 (0.269) Loss 2.5685 (2.6237) Prec@1 39.062 (36.267) Prec@5 66.406 (66.631) Epoch: [15][2450/5809] Time 0.274 (0.347) Data 0.216 (0.269) Loss 2.5687 (2.6238) Prec@1 34.766 (36.266) Prec@5 68.750 (66.633) Epoch: [15][2460/5809] Time 0.133 (0.347) Data 0.001 (0.269) Loss 2.7562 (2.6238) Prec@1 33.203 (36.263) Prec@5 63.672 (66.629) Epoch: [15][2470/5809] Time 0.263 (0.347) Data 0.202 (0.269) Loss 2.4838 (2.6239) Prec@1 37.891 (36.260) Prec@5 65.625 (66.626) Epoch: [15][2480/5809] Time 0.181 (0.347) Data 0.119 (0.269) Loss 2.7002 (2.6236) Prec@1 35.938 (36.264) Prec@5 63.281 (66.628) Epoch: [15][2490/5809] Time 0.132 (0.347) Data 0.001 (0.269) Loss 2.6568 (2.6237) Prec@1 36.328 (36.262) Prec@5 66.016 (66.623) Epoch: [15][2500/5809] Time 0.513 (0.347) Data 0.451 (0.270) Loss 2.8017 (2.6241) Prec@1 35.156 (36.255) Prec@5 62.500 (66.610) Epoch: [15][2510/5809] Time 0.132 (0.347) Data 0.045 (0.269) Loss 2.6446 (2.6240) Prec@1 33.594 (36.256) Prec@5 67.578 (66.610) Epoch: [15][2520/5809] Time 0.455 (0.347) Data 0.396 (0.270) Loss 2.5448 (2.6238) Prec@1 38.281 (36.258) Prec@5 67.578 (66.613) Epoch: [15][2530/5809] Time 0.418 (0.347) Data 0.358 (0.270) Loss 2.7533 (2.6238) Prec@1 34.766 (36.260) Prec@5 66.406 (66.613) Epoch: [15][2540/5809] Time 0.368 (0.347) Data 0.308 (0.270) Loss 2.6279 (2.6237) Prec@1 34.766 (36.259) Prec@5 68.750 (66.617) Epoch: [15][2550/5809] Time 0.473 (0.347) Data 0.412 (0.270) Loss 2.5999 (2.6236) Prec@1 34.766 (36.260) Prec@5 66.797 (66.620) Epoch: [15][2560/5809] Time 0.307 (0.347) Data 0.246 (0.270) Loss 2.8091 (2.6238) Prec@1 36.719 (36.253) Prec@5 60.156 (66.612) Epoch: [15][2570/5809] Time 0.216 (0.347) Data 0.155 (0.270) Loss 2.7530 (2.6241) Prec@1 33.984 (36.245) Prec@5 62.109 (66.608) Epoch: [15][2580/5809] Time 0.465 (0.347) Data 0.404 (0.270) Loss 2.7440 (2.6243) Prec@1 32.031 (36.235) Prec@5 65.625 (66.600) Epoch: [15][2590/5809] Time 0.133 (0.347) Data 0.051 (0.270) Loss 2.7827 (2.6245) Prec@1 36.328 (36.233) Prec@5 63.281 (66.596) Epoch: [15][2600/5809] Time 0.147 (0.347) Data 0.086 (0.270) Loss 2.4364 (2.6245) Prec@1 39.453 (36.231) Prec@5 69.922 (66.596) Epoch: [15][2610/5809] Time 0.369 (0.347) Data 0.309 (0.270) Loss 2.6539 (2.6247) Prec@1 37.109 (36.224) Prec@5 68.359 (66.598) Epoch: [15][2620/5809] Time 0.212 (0.347) Data 0.151 (0.270) Loss 2.6691 (2.6247) Prec@1 38.281 (36.224) Prec@5 65.625 (66.598) Epoch: [15][2630/5809] Time 0.676 (0.347) Data 0.615 (0.270) Loss 2.5271 (2.6246) Prec@1 40.234 (36.224) Prec@5 69.531 (66.595) Epoch: [15][2640/5809] Time 0.134 (0.347) Data 0.045 (0.270) Loss 2.2999 (2.6243) Prec@1 42.578 (36.230) Prec@5 76.562 (66.606) Epoch: [15][2650/5809] Time 0.656 (0.347) Data 0.590 (0.270) Loss 2.6324 (2.6244) Prec@1 35.547 (36.230) Prec@5 67.969 (66.608) Epoch: [15][2660/5809] Time 0.176 (0.347) Data 0.116 (0.270) Loss 2.7151 (2.6244) Prec@1 34.375 (36.235) Prec@5 62.109 (66.605) Epoch: [15][2670/5809] Time 0.458 (0.347) Data 0.397 (0.270) Loss 2.5048 (2.6242) Prec@1 33.984 (36.236) Prec@5 68.359 (66.607) Epoch: [15][2680/5809] Time 0.325 (0.346) Data 0.265 (0.270) Loss 2.9390 (2.6242) Prec@1 35.156 (36.240) Prec@5 62.500 (66.608) Epoch: [15][2690/5809] Time 0.327 (0.347) Data 0.267 (0.270) Loss 2.8056 (2.6242) Prec@1 34.375 (36.236) Prec@5 60.938 (66.604) Epoch: [15][2700/5809] Time 0.171 (0.346) Data 0.111 (0.270) Loss 2.6240 (2.6241) Prec@1 39.453 (36.238) Prec@5 66.406 (66.606) Epoch: [15][2710/5809] Time 0.186 (0.347) Data 0.126 (0.270) Loss 2.5764 (2.6243) Prec@1 39.062 (36.230) Prec@5 64.062 (66.604) Epoch: [15][2720/5809] Time 0.133 (0.347) Data 0.001 (0.270) Loss 2.5889 (2.6245) Prec@1 37.500 (36.229) Prec@5 66.016 (66.602) Epoch: [15][2730/5809] Time 0.133 (0.347) Data 0.051 (0.270) Loss 2.6841 (2.6243) Prec@1 32.812 (36.232) Prec@5 64.453 (66.605) Epoch: [15][2740/5809] Time 0.130 (0.346) Data 0.052 (0.270) Loss 2.7697 (2.6243) Prec@1 28.906 (36.232) Prec@5 63.281 (66.606) Epoch: [15][2750/5809] Time 0.133 (0.347) Data 0.041 (0.270) Loss 2.5620 (2.6243) Prec@1 34.766 (36.230) Prec@5 68.359 (66.607) Epoch: [15][2760/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.6692 (2.6243) Prec@1 36.328 (36.231) Prec@5 66.797 (66.610) Epoch: [15][2770/5809] Time 0.294 (0.347) Data 0.227 (0.270) Loss 2.6962 (2.6243) Prec@1 32.812 (36.231) Prec@5 66.016 (66.608) Epoch: [15][2780/5809] Time 0.133 (0.346) Data 0.001 (0.270) Loss 2.5230 (2.6242) Prec@1 35.156 (36.229) Prec@5 69.531 (66.610) Epoch: [15][2790/5809] Time 0.296 (0.346) Data 0.229 (0.270) Loss 2.5459 (2.6241) Prec@1 41.016 (36.233) Prec@5 67.188 (66.613) Epoch: [15][2800/5809] Time 0.128 (0.346) Data 0.052 (0.270) Loss 2.7390 (2.6242) Prec@1 34.375 (36.234) Prec@5 66.016 (66.614) Epoch: [15][2810/5809] Time 0.139 (0.346) Data 0.054 (0.270) Loss 2.8044 (2.6239) Prec@1 29.297 (36.238) Prec@5 64.453 (66.618) Epoch: [15][2820/5809] Time 0.134 (0.346) Data 0.064 (0.270) Loss 2.6100 (2.6238) Prec@1 35.547 (36.239) Prec@5 69.531 (66.623) Epoch: [15][2830/5809] Time 0.133 (0.346) Data 0.051 (0.270) Loss 2.8113 (2.6237) Prec@1 33.203 (36.238) Prec@5 58.984 (66.624) Epoch: [15][2840/5809] Time 0.198 (0.346) Data 0.138 (0.270) Loss 2.7162 (2.6238) Prec@1 36.328 (36.234) Prec@5 65.625 (66.619) Epoch: [15][2850/5809] Time 0.134 (0.346) Data 0.001 (0.270) Loss 2.6090 (2.6240) Prec@1 35.938 (36.231) Prec@5 63.281 (66.616) Epoch: [15][2860/5809] Time 0.401 (0.346) Data 0.340 (0.270) Loss 2.4645 (2.6240) Prec@1 37.109 (36.232) Prec@5 67.188 (66.615) Epoch: [15][2870/5809] Time 0.183 (0.346) Data 0.115 (0.270) Loss 2.3871 (2.6238) Prec@1 38.281 (36.237) Prec@5 74.219 (66.621) Epoch: [15][2880/5809] Time 0.143 (0.346) Data 0.083 (0.269) Loss 2.6992 (2.6239) Prec@1 37.500 (36.241) Prec@5 65.625 (66.617) Epoch: [15][2890/5809] Time 0.260 (0.346) Data 0.199 (0.270) Loss 2.5656 (2.6240) Prec@1 34.375 (36.240) Prec@5 67.578 (66.617) Epoch: [15][2900/5809] Time 0.229 (0.346) Data 0.169 (0.269) Loss 2.5369 (2.6239) Prec@1 39.062 (36.240) Prec@5 68.750 (66.616) Epoch: [15][2910/5809] Time 0.198 (0.346) Data 0.139 (0.270) Loss 2.6400 (2.6239) Prec@1 37.109 (36.243) Prec@5 67.188 (66.613) Epoch: [15][2920/5809] Time 0.152 (0.346) Data 0.091 (0.269) Loss 2.6103 (2.6238) Prec@1 34.766 (36.246) Prec@5 67.578 (66.617) Epoch: [15][2930/5809] Time 0.139 (0.346) Data 0.001 (0.269) Loss 2.4738 (2.6239) Prec@1 37.109 (36.243) Prec@5 69.141 (66.618) Epoch: [15][2940/5809] Time 0.162 (0.346) Data 0.102 (0.269) Loss 2.5871 (2.6240) Prec@1 39.062 (36.244) Prec@5 69.531 (66.616) Epoch: [15][2950/5809] Time 0.333 (0.346) Data 0.272 (0.269) Loss 2.7810 (2.6240) Prec@1 27.734 (36.239) Prec@5 64.844 (66.614) Epoch: [15][2960/5809] Time 0.210 (0.346) Data 0.148 (0.269) Loss 2.6676 (2.6240) Prec@1 34.375 (36.233) Prec@5 65.625 (66.619) Epoch: [15][2970/5809] Time 0.141 (0.346) Data 0.051 (0.269) Loss 2.6288 (2.6239) Prec@1 38.281 (36.235) Prec@5 66.016 (66.620) Epoch: [15][2980/5809] Time 0.266 (0.346) Data 0.205 (0.269) Loss 2.6895 (2.6241) Prec@1 32.812 (36.231) Prec@5 66.406 (66.617) Epoch: [15][2990/5809] Time 0.271 (0.346) Data 0.204 (0.269) Loss 2.7895 (2.6241) Prec@1 30.859 (36.228) Prec@5 62.500 (66.616) Epoch: [15][3000/5809] Time 0.257 (0.346) Data 0.198 (0.269) Loss 2.7369 (2.6242) Prec@1 32.031 (36.225) Prec@5 64.844 (66.614) Epoch: [15][3010/5809] Time 0.312 (0.346) Data 0.245 (0.269) Loss 2.8126 (2.6242) Prec@1 32.422 (36.226) Prec@5 62.500 (66.614) Epoch: [15][3020/5809] Time 0.133 (0.346) Data 0.052 (0.269) Loss 2.5930 (2.6241) Prec@1 38.672 (36.229) Prec@5 66.797 (66.617) Epoch: [15][3030/5809] Time 0.564 (0.346) Data 0.504 (0.269) Loss 2.4522 (2.6240) Prec@1 41.406 (36.231) Prec@5 70.703 (66.623) Epoch: [15][3040/5809] Time 0.142 (0.346) Data 0.081 (0.269) Loss 2.5232 (2.6240) Prec@1 37.891 (36.237) Prec@5 70.703 (66.627) Epoch: [15][3050/5809] Time 0.302 (0.346) Data 0.240 (0.269) Loss 2.6896 (2.6239) Prec@1 33.203 (36.240) Prec@5 64.453 (66.627) Epoch: [15][3060/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.6986 (2.6241) Prec@1 31.641 (36.234) Prec@5 65.234 (66.624) Epoch: [15][3070/5809] Time 0.326 (0.346) Data 0.265 (0.269) Loss 2.7571 (2.6242) Prec@1 32.031 (36.232) Prec@5 63.281 (66.621) Epoch: [15][3080/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.5956 (2.6242) Prec@1 36.719 (36.233) Prec@5 66.797 (66.623) Epoch: [15][3090/5809] Time 0.502 (0.346) Data 0.437 (0.269) Loss 2.6710 (2.6243) Prec@1 32.422 (36.231) Prec@5 68.359 (66.622) Epoch: [15][3100/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.7936 (2.6244) Prec@1 33.203 (36.232) Prec@5 60.938 (66.622) Epoch: [15][3110/5809] Time 0.532 (0.346) Data 0.471 (0.269) Loss 2.6875 (2.6244) Prec@1 33.203 (36.229) Prec@5 62.109 (66.623) Epoch: [15][3120/5809] Time 0.179 (0.346) Data 0.118 (0.269) Loss 2.7510 (2.6246) Prec@1 33.984 (36.223) Prec@5 63.281 (66.618) Epoch: [15][3130/5809] Time 0.541 (0.346) Data 0.482 (0.269) Loss 2.7064 (2.6246) Prec@1 35.547 (36.225) Prec@5 66.016 (66.621) Epoch: [15][3140/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.6576 (2.6248) Prec@1 35.156 (36.222) Prec@5 67.969 (66.615) Epoch: [15][3150/5809] Time 0.586 (0.346) Data 0.526 (0.269) Loss 2.5742 (2.6246) Prec@1 41.797 (36.227) Prec@5 69.531 (66.620) Epoch: [15][3160/5809] Time 0.134 (0.346) Data 0.001 (0.269) Loss 2.7860 (2.6245) Prec@1 32.812 (36.230) Prec@5 63.281 (66.623) Epoch: [15][3170/5809] Time 0.369 (0.346) Data 0.308 (0.269) Loss 2.6531 (2.6246) Prec@1 35.547 (36.228) Prec@5 68.750 (66.622) Epoch: [15][3180/5809] Time 0.129 (0.346) Data 0.041 (0.269) Loss 2.8771 (2.6249) Prec@1 32.422 (36.220) Prec@5 61.719 (66.618) Epoch: [15][3190/5809] Time 0.944 (0.346) Data 0.884 (0.269) Loss 2.6432 (2.6248) Prec@1 37.109 (36.223) Prec@5 67.578 (66.618) Epoch: [15][3200/5809] Time 0.133 (0.346) Data 0.053 (0.269) Loss 2.7017 (2.6249) Prec@1 33.203 (36.221) Prec@5 62.109 (66.612) Epoch: [15][3210/5809] Time 0.909 (0.346) Data 0.847 (0.269) Loss 2.5635 (2.6251) Prec@1 35.547 (36.217) Prec@5 66.797 (66.611) Epoch: [15][3220/5809] Time 0.131 (0.346) Data 0.001 (0.269) Loss 2.6639 (2.6251) Prec@1 38.281 (36.221) Prec@5 66.406 (66.610) Epoch: [15][3230/5809] Time 0.881 (0.346) Data 0.820 (0.269) Loss 2.7407 (2.6250) Prec@1 34.375 (36.224) Prec@5 62.109 (66.611) Epoch: [15][3240/5809] Time 0.141 (0.346) Data 0.072 (0.269) Loss 2.7348 (2.6249) Prec@1 35.156 (36.224) Prec@5 66.016 (66.614) Epoch: [15][3250/5809] Time 0.864 (0.346) Data 0.803 (0.269) Loss 2.7225 (2.6250) Prec@1 34.375 (36.220) Prec@5 66.016 (66.614) Epoch: [15][3260/5809] Time 0.134 (0.346) Data 0.067 (0.269) Loss 2.7832 (2.6249) Prec@1 35.156 (36.223) Prec@5 66.016 (66.615) Epoch: [15][3270/5809] Time 0.757 (0.346) Data 0.696 (0.269) Loss 2.4594 (2.6250) Prec@1 42.188 (36.226) Prec@5 69.531 (66.615) Epoch: [15][3280/5809] Time 0.174 (0.346) Data 0.114 (0.269) Loss 2.4817 (2.6250) Prec@1 36.719 (36.225) Prec@5 69.141 (66.613) Epoch: [15][3290/5809] Time 0.681 (0.346) Data 0.620 (0.269) Loss 2.6270 (2.6251) Prec@1 36.719 (36.221) Prec@5 66.406 (66.613) Epoch: [15][3300/5809] Time 0.133 (0.346) Data 0.051 (0.269) Loss 2.6743 (2.6252) Prec@1 37.891 (36.217) Prec@5 67.188 (66.608) Epoch: [15][3310/5809] Time 0.737 (0.346) Data 0.676 (0.269) Loss 2.6365 (2.6252) Prec@1 37.891 (36.215) Prec@5 64.062 (66.605) Epoch: [15][3320/5809] Time 0.132 (0.346) Data 0.052 (0.269) Loss 2.6127 (2.6253) Prec@1 34.766 (36.215) Prec@5 70.312 (66.606) Epoch: [15][3330/5809] Time 0.861 (0.346) Data 0.800 (0.269) Loss 2.8340 (2.6254) Prec@1 36.328 (36.214) Prec@5 61.328 (66.599) Epoch: [15][3340/5809] Time 0.185 (0.346) Data 0.125 (0.269) Loss 2.5916 (2.6253) Prec@1 35.156 (36.215) Prec@5 67.188 (66.602) Epoch: [15][3350/5809] Time 0.940 (0.346) Data 0.879 (0.269) Loss 2.6218 (2.6255) Prec@1 36.328 (36.211) Prec@5 66.797 (66.600) Epoch: [15][3360/5809] Time 0.140 (0.346) Data 0.001 (0.269) Loss 2.3371 (2.6254) Prec@1 38.281 (36.209) Prec@5 72.266 (66.600) Epoch: [15][3370/5809] Time 1.110 (0.346) Data 1.043 (0.269) Loss 2.5498 (2.6256) Prec@1 35.938 (36.205) Prec@5 69.531 (66.599) Epoch: [15][3380/5809] Time 0.131 (0.346) Data 0.001 (0.269) Loss 2.7141 (2.6256) Prec@1 34.375 (36.205) Prec@5 64.062 (66.600) Epoch: [15][3390/5809] Time 0.830 (0.346) Data 0.764 (0.269) Loss 2.6738 (2.6257) Prec@1 33.594 (36.201) Prec@5 64.844 (66.598) Epoch: [15][3400/5809] Time 0.134 (0.346) Data 0.001 (0.269) Loss 2.9606 (2.6258) Prec@1 31.250 (36.197) Prec@5 61.719 (66.596) Epoch: [15][3410/5809] Time 0.738 (0.346) Data 0.677 (0.269) Loss 2.4614 (2.6257) Prec@1 38.672 (36.200) Prec@5 67.578 (66.597) Epoch: [15][3420/5809] Time 0.128 (0.346) Data 0.053 (0.269) Loss 2.6615 (2.6259) Prec@1 34.375 (36.196) Prec@5 69.531 (66.594) Epoch: [15][3430/5809] Time 0.832 (0.346) Data 0.772 (0.269) Loss 2.7085 (2.6259) Prec@1 33.594 (36.197) Prec@5 61.719 (66.595) Epoch: [15][3440/5809] Time 0.135 (0.346) Data 0.001 (0.269) Loss 2.6479 (2.6261) Prec@1 37.891 (36.194) Prec@5 67.188 (66.593) Epoch: [15][3450/5809] Time 0.899 (0.346) Data 0.831 (0.269) Loss 2.6495 (2.6260) Prec@1 36.328 (36.198) Prec@5 66.797 (66.594) Epoch: [15][3460/5809] Time 0.193 (0.346) Data 0.132 (0.269) Loss 2.6652 (2.6261) Prec@1 35.938 (36.198) Prec@5 67.188 (66.594) Epoch: [15][3470/5809] Time 0.737 (0.346) Data 0.676 (0.269) Loss 2.5156 (2.6259) Prec@1 38.672 (36.200) Prec@5 66.797 (66.593) Epoch: [15][3480/5809] Time 0.456 (0.346) Data 0.395 (0.269) Loss 2.6917 (2.6260) Prec@1 36.719 (36.198) Prec@5 63.672 (66.593) Epoch: [15][3490/5809] Time 0.539 (0.346) Data 0.479 (0.269) Loss 2.5568 (2.6260) Prec@1 35.156 (36.199) Prec@5 66.797 (66.590) Epoch: [15][3500/5809] Time 0.578 (0.346) Data 0.518 (0.269) Loss 2.7407 (2.6260) Prec@1 35.156 (36.199) Prec@5 62.891 (66.587) Epoch: [15][3510/5809] Time 0.454 (0.346) Data 0.393 (0.269) Loss 2.6672 (2.6262) Prec@1 38.281 (36.199) Prec@5 64.062 (66.585) Epoch: [15][3520/5809] Time 0.524 (0.346) Data 0.463 (0.269) Loss 2.5597 (2.6262) Prec@1 40.234 (36.200) Prec@5 67.969 (66.587) Epoch: [15][3530/5809] Time 0.489 (0.346) Data 0.430 (0.269) Loss 2.6347 (2.6262) Prec@1 37.109 (36.203) Prec@5 64.453 (66.584) Epoch: [15][3540/5809] Time 0.486 (0.346) Data 0.419 (0.269) Loss 2.5392 (2.6261) Prec@1 37.891 (36.201) Prec@5 68.359 (66.586) Epoch: [15][3550/5809] Time 0.347 (0.346) Data 0.287 (0.269) Loss 2.8019 (2.6263) Prec@1 32.812 (36.200) Prec@5 66.406 (66.584) Epoch: [15][3560/5809] Time 0.511 (0.346) Data 0.450 (0.269) Loss 2.8131 (2.6263) Prec@1 33.984 (36.197) Prec@5 65.625 (66.586) Epoch: [15][3570/5809] Time 0.449 (0.346) Data 0.388 (0.269) Loss 2.5897 (2.6262) Prec@1 34.766 (36.200) Prec@5 67.578 (66.587) Epoch: [15][3580/5809] Time 0.513 (0.346) Data 0.453 (0.269) Loss 2.5563 (2.6262) Prec@1 35.938 (36.196) Prec@5 71.875 (66.591) Epoch: [15][3590/5809] Time 0.667 (0.346) Data 0.607 (0.269) Loss 2.5003 (2.6262) Prec@1 39.453 (36.198) Prec@5 69.922 (66.590) Epoch: [15][3600/5809] Time 0.302 (0.346) Data 0.243 (0.269) Loss 2.6779 (2.6262) Prec@1 33.203 (36.196) Prec@5 62.891 (66.587) Epoch: [15][3610/5809] Time 0.521 (0.346) Data 0.461 (0.269) Loss 2.5449 (2.6261) Prec@1 37.891 (36.196) Prec@5 65.625 (66.590) Epoch: [15][3620/5809] Time 0.333 (0.346) Data 0.274 (0.269) Loss 2.7606 (2.6262) Prec@1 32.812 (36.194) Prec@5 62.500 (66.587) Epoch: [15][3630/5809] Time 0.536 (0.346) Data 0.468 (0.269) Loss 2.5877 (2.6262) Prec@1 37.109 (36.194) Prec@5 66.797 (66.584) Epoch: [15][3640/5809] Time 0.191 (0.346) Data 0.131 (0.269) Loss 2.4154 (2.6261) Prec@1 39.453 (36.195) Prec@5 71.094 (66.586) Epoch: [15][3650/5809] Time 0.539 (0.346) Data 0.478 (0.269) Loss 2.6527 (2.6262) Prec@1 34.766 (36.193) Prec@5 65.625 (66.584) Epoch: [15][3660/5809] Time 0.144 (0.346) Data 0.083 (0.269) Loss 2.7364 (2.6262) Prec@1 31.641 (36.191) Prec@5 64.453 (66.581) Epoch: [15][3670/5809] Time 0.332 (0.346) Data 0.271 (0.269) Loss 2.5396 (2.6261) Prec@1 37.109 (36.192) Prec@5 66.797 (66.583) Epoch: [15][3680/5809] Time 0.133 (0.346) Data 0.001 (0.269) Loss 2.5547 (2.6262) Prec@1 36.328 (36.190) Prec@5 66.406 (66.582) Epoch: [15][3690/5809] Time 0.480 (0.346) Data 0.420 (0.269) Loss 2.5155 (2.6262) Prec@1 37.891 (36.193) Prec@5 68.359 (66.581) Epoch: [15][3700/5809] Time 0.135 (0.346) Data 0.001 (0.269) Loss 2.6034 (2.6261) Prec@1 36.719 (36.195) Prec@5 68.750 (66.585) Epoch: [15][3710/5809] Time 0.779 (0.346) Data 0.719 (0.269) Loss 2.6565 (2.6259) Prec@1 35.547 (36.198) Prec@5 66.406 (66.590) Epoch: [15][3720/5809] Time 0.134 (0.346) Data 0.052 (0.269) Loss 2.7348 (2.6258) Prec@1 37.109 (36.199) Prec@5 62.891 (66.592) Epoch: [15][3730/5809] Time 0.950 (0.346) Data 0.883 (0.269) Loss 2.7883 (2.6258) Prec@1 36.719 (36.200) Prec@5 64.062 (66.591) Epoch: [15][3740/5809] Time 0.141 (0.346) Data 0.080 (0.269) Loss 2.5972 (2.6258) Prec@1 34.375 (36.198) Prec@5 65.234 (66.590) Epoch: [15][3750/5809] Time 0.739 (0.346) Data 0.679 (0.269) Loss 2.6755 (2.6259) Prec@1 32.031 (36.194) Prec@5 67.578 (66.589) Epoch: [15][3760/5809] Time 0.128 (0.346) Data 0.055 (0.268) Loss 2.6616 (2.6259) Prec@1 32.031 (36.194) Prec@5 63.281 (66.588) Epoch: [15][3770/5809] Time 0.692 (0.346) Data 0.631 (0.269) Loss 2.4662 (2.6260) Prec@1 35.547 (36.193) Prec@5 72.656 (66.589) Epoch: [15][3780/5809] Time 0.134 (0.346) Data 0.001 (0.268) Loss 2.6042 (2.6260) Prec@1 37.500 (36.196) Prec@5 66.406 (66.587) Epoch: [15][3790/5809] Time 0.783 (0.346) Data 0.723 (0.269) Loss 2.4522 (2.6261) Prec@1 40.234 (36.195) Prec@5 67.188 (66.584) Epoch: [15][3800/5809] Time 0.225 (0.346) Data 0.165 (0.268) Loss 2.6626 (2.6260) Prec@1 34.766 (36.195) Prec@5 63.672 (66.587) Epoch: [15][3810/5809] Time 0.947 (0.346) Data 0.880 (0.269) Loss 2.6555 (2.6261) Prec@1 34.766 (36.193) Prec@5 64.844 (66.585) Epoch: [15][3820/5809] Time 0.131 (0.346) Data 0.051 (0.268) Loss 2.5224 (2.6260) Prec@1 37.500 (36.193) Prec@5 65.234 (66.585) Epoch: [15][3830/5809] Time 0.916 (0.346) Data 0.855 (0.268) Loss 2.4931 (2.6258) Prec@1 36.328 (36.197) Prec@5 69.922 (66.588) Epoch: [15][3840/5809] Time 0.133 (0.346) Data 0.001 (0.268) Loss 2.4836 (2.6259) Prec@1 35.547 (36.194) Prec@5 66.797 (66.587) Epoch: [15][3850/5809] Time 0.856 (0.346) Data 0.790 (0.268) Loss 2.9519 (2.6261) Prec@1 30.859 (36.188) Prec@5 60.156 (66.582) Epoch: [15][3860/5809] Time 0.134 (0.346) Data 0.001 (0.268) Loss 2.4493 (2.6262) Prec@1 38.281 (36.191) Prec@5 70.312 (66.581) Epoch: [15][3870/5809] Time 0.947 (0.346) Data 0.883 (0.268) Loss 2.5881 (2.6262) Prec@1 36.328 (36.193) Prec@5 69.531 (66.581) Epoch: [15][3880/5809] Time 0.140 (0.346) Data 0.001 (0.268) Loss 2.9036 (2.6264) Prec@1 30.469 (36.186) Prec@5 60.938 (66.577) Epoch: [15][3890/5809] Time 0.833 (0.346) Data 0.772 (0.268) Loss 2.7688 (2.6264) Prec@1 33.594 (36.186) Prec@5 63.672 (66.578) Epoch: [15][3900/5809] Time 0.140 (0.346) Data 0.052 (0.268) Loss 2.7347 (2.6264) Prec@1 30.859 (36.185) Prec@5 63.281 (66.577) Epoch: [15][3910/5809] Time 0.992 (0.346) Data 0.932 (0.268) Loss 2.7704 (2.6263) Prec@1 34.375 (36.187) Prec@5 63.672 (66.577) Epoch: [15][3920/5809] Time 0.210 (0.346) Data 0.149 (0.268) Loss 2.5737 (2.6262) Prec@1 37.891 (36.191) Prec@5 67.969 (66.581) Epoch: [15][3930/5809] Time 1.077 (0.346) Data 1.010 (0.268) Loss 2.4196 (2.6264) Prec@1 40.234 (36.189) Prec@5 70.703 (66.578) Epoch: [15][3940/5809] Time 0.168 (0.346) Data 0.107 (0.268) Loss 2.8139 (2.6264) Prec@1 35.938 (36.192) Prec@5 63.281 (66.582) Epoch: [15][3950/5809] Time 0.957 (0.346) Data 0.896 (0.268) Loss 2.7286 (2.6265) Prec@1 32.031 (36.191) Prec@5 62.500 (66.582) Epoch: [15][3960/5809] Time 0.133 (0.346) Data 0.046 (0.268) Loss 2.7712 (2.6264) Prec@1 33.594 (36.193) Prec@5 62.109 (66.583) Epoch: [15][3970/5809] Time 0.840 (0.346) Data 0.779 (0.268) Loss 2.4738 (2.6265) Prec@1 38.672 (36.189) Prec@5 68.750 (66.583) Epoch: [15][3980/5809] Time 0.166 (0.346) Data 0.106 (0.268) Loss 2.4602 (2.6263) Prec@1 36.719 (36.189) Prec@5 71.094 (66.587) Epoch: [15][3990/5809] Time 0.872 (0.346) Data 0.811 (0.268) Loss 2.7804 (2.6265) Prec@1 32.422 (36.187) Prec@5 64.062 (66.584) Epoch: [15][4000/5809] Time 0.205 (0.346) Data 0.144 (0.268) Loss 2.8086 (2.6266) Prec@1 32.422 (36.183) Prec@5 60.938 (66.582) Epoch: [15][4010/5809] Time 0.714 (0.346) Data 0.654 (0.268) Loss 2.7077 (2.6267) Prec@1 33.984 (36.182) Prec@5 64.062 (66.577) Epoch: [15][4020/5809] Time 0.133 (0.346) Data 0.001 (0.268) Loss 2.5424 (2.6266) Prec@1 39.062 (36.181) Prec@5 66.797 (66.580) Epoch: [15][4030/5809] Time 0.867 (0.346) Data 0.806 (0.268) Loss 2.5228 (2.6266) Prec@1 41.016 (36.182) Prec@5 70.703 (66.582) Epoch: [15][4040/5809] Time 0.127 (0.346) Data 0.055 (0.268) Loss 2.6820 (2.6266) Prec@1 34.375 (36.181) Prec@5 66.016 (66.581) Epoch: [15][4050/5809] Time 0.691 (0.346) Data 0.632 (0.268) Loss 2.4265 (2.6267) Prec@1 41.016 (36.183) Prec@5 68.750 (66.580) Epoch: [15][4060/5809] Time 0.193 (0.346) Data 0.132 (0.268) Loss 2.5878 (2.6266) Prec@1 38.281 (36.187) Prec@5 64.062 (66.580) Epoch: [15][4070/5809] Time 0.371 (0.346) Data 0.311 (0.268) Loss 2.6214 (2.6264) Prec@1 34.766 (36.189) Prec@5 68.359 (66.583) Epoch: [15][4080/5809] Time 0.133 (0.346) Data 0.060 (0.268) Loss 2.7639 (2.6267) Prec@1 36.719 (36.186) Prec@5 62.109 (66.577) Epoch: [15][4090/5809] Time 0.563 (0.346) Data 0.503 (0.268) Loss 2.6428 (2.6267) Prec@1 33.203 (36.185) Prec@5 69.531 (66.576) Epoch: [15][4100/5809] Time 0.196 (0.346) Data 0.135 (0.268) Loss 2.6954 (2.6267) Prec@1 28.906 (36.183) Prec@5 64.062 (66.575) Epoch: [15][4110/5809] Time 0.360 (0.346) Data 0.300 (0.268) Loss 2.5094 (2.6268) Prec@1 38.672 (36.181) Prec@5 67.969 (66.574) Epoch: [15][4120/5809] Time 0.266 (0.346) Data 0.206 (0.268) Loss 2.6384 (2.6267) Prec@1 34.375 (36.183) Prec@5 68.750 (66.575) Epoch: [15][4130/5809] Time 0.766 (0.346) Data 0.705 (0.268) Loss 2.7612 (2.6268) Prec@1 37.891 (36.181) Prec@5 64.844 (66.576) Epoch: [15][4140/5809] Time 0.316 (0.346) Data 0.255 (0.268) Loss 2.5530 (2.6267) Prec@1 36.719 (36.182) Prec@5 68.750 (66.578) Epoch: [15][4150/5809] Time 0.457 (0.346) Data 0.396 (0.268) Loss 2.4991 (2.6266) Prec@1 42.969 (36.184) Prec@5 67.969 (66.579) Epoch: [15][4160/5809] Time 0.309 (0.346) Data 0.248 (0.268) Loss 2.5531 (2.6266) Prec@1 36.328 (36.182) Prec@5 69.141 (66.579) Epoch: [15][4170/5809] Time 0.791 (0.346) Data 0.725 (0.268) Loss 2.5960 (2.6265) Prec@1 36.719 (36.181) Prec@5 69.531 (66.583) Epoch: [15][4180/5809] Time 0.307 (0.346) Data 0.240 (0.268) Loss 2.5923 (2.6266) Prec@1 37.109 (36.178) Prec@5 65.234 (66.582) Epoch: [15][4190/5809] Time 0.838 (0.346) Data 0.773 (0.268) Loss 2.6508 (2.6266) Prec@1 36.328 (36.180) Prec@5 66.016 (66.580) Epoch: [15][4200/5809] Time 0.136 (0.346) Data 0.044 (0.268) Loss 2.7039 (2.6267) Prec@1 33.203 (36.179) Prec@5 61.328 (66.578) Epoch: [15][4210/5809] Time 0.927 (0.346) Data 0.859 (0.268) Loss 2.6379 (2.6268) Prec@1 37.891 (36.178) Prec@5 69.531 (66.577) Epoch: [15][4220/5809] Time 0.134 (0.346) Data 0.053 (0.268) Loss 2.8118 (2.6269) Prec@1 33.594 (36.175) Prec@5 61.328 (66.576) Epoch: [15][4230/5809] Time 0.850 (0.346) Data 0.789 (0.268) Loss 2.5725 (2.6269) Prec@1 35.547 (36.175) Prec@5 69.141 (66.577) Epoch: [15][4240/5809] Time 0.131 (0.346) Data 0.001 (0.268) Loss 2.7144 (2.6269) Prec@1 32.812 (36.173) Prec@5 64.453 (66.577) Epoch: [15][4250/5809] Time 1.003 (0.346) Data 0.944 (0.268) Loss 2.6824 (2.6269) Prec@1 32.812 (36.171) Prec@5 66.406 (66.575) Epoch: [15][4260/5809] Time 0.127 (0.346) Data 0.054 (0.268) Loss 2.5002 (2.6271) Prec@1 36.719 (36.165) Prec@5 69.531 (66.572) Epoch: [15][4270/5809] Time 0.847 (0.346) Data 0.786 (0.268) Loss 2.7166 (2.6272) Prec@1 33.203 (36.161) Prec@5 62.891 (66.566) Epoch: [15][4280/5809] Time 0.139 (0.346) Data 0.051 (0.267) Loss 2.4536 (2.6273) Prec@1 39.453 (36.157) Prec@5 67.969 (66.563) Epoch: [15][4290/5809] Time 0.824 (0.346) Data 0.764 (0.267) Loss 2.6548 (2.6274) Prec@1 36.719 (36.157) Prec@5 67.969 (66.562) Epoch: [15][4300/5809] Time 0.140 (0.345) Data 0.054 (0.267) Loss 2.4924 (2.6272) Prec@1 37.109 (36.163) Prec@5 69.922 (66.568) Epoch: [15][4310/5809] Time 1.005 (0.346) Data 0.940 (0.267) Loss 2.6876 (2.6274) Prec@1 33.984 (36.160) Prec@5 64.844 (66.562) Epoch: [15][4320/5809] Time 0.139 (0.345) Data 0.001 (0.267) Loss 2.5772 (2.6273) Prec@1 37.891 (36.162) Prec@5 65.234 (66.564) Epoch: [15][4330/5809] Time 1.007 (0.346) Data 0.941 (0.267) Loss 2.4812 (2.6272) Prec@1 36.719 (36.162) Prec@5 71.484 (66.565) Epoch: [15][4340/5809] Time 0.140 (0.345) Data 0.054 (0.267) Loss 2.4874 (2.6272) Prec@1 37.500 (36.163) Prec@5 68.359 (66.564) Epoch: [15][4350/5809] Time 0.817 (0.346) Data 0.750 (0.267) Loss 2.5409 (2.6273) Prec@1 36.328 (36.165) Prec@5 65.625 (66.561) Epoch: [15][4360/5809] Time 0.173 (0.345) Data 0.113 (0.267) Loss 2.6476 (2.6273) Prec@1 37.109 (36.164) Prec@5 68.750 (66.561) Epoch: [15][4370/5809] Time 0.480 (0.346) Data 0.420 (0.267) Loss 2.7508 (2.6274) Prec@1 34.766 (36.162) Prec@5 64.453 (66.562) Epoch: [15][4380/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.4690 (2.6273) Prec@1 39.453 (36.165) Prec@5 68.750 (66.565) Epoch: [15][4390/5809] Time 0.297 (0.345) Data 0.237 (0.267) Loss 2.6046 (2.6273) Prec@1 34.766 (36.167) Prec@5 65.625 (66.566) Epoch: [15][4400/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.4838 (2.6272) Prec@1 41.016 (36.165) Prec@5 69.922 (66.564) Epoch: [15][4410/5809] Time 0.456 (0.345) Data 0.396 (0.267) Loss 2.4920 (2.6273) Prec@1 37.891 (36.163) Prec@5 71.484 (66.565) Epoch: [15][4420/5809] Time 0.251 (0.345) Data 0.192 (0.267) Loss 2.5990 (2.6272) Prec@1 33.594 (36.164) Prec@5 67.188 (66.565) Epoch: [15][4430/5809] Time 0.349 (0.345) Data 0.288 (0.267) Loss 2.5731 (2.6273) Prec@1 40.234 (36.160) Prec@5 67.578 (66.564) Epoch: [15][4440/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.6824 (2.6274) Prec@1 32.031 (36.159) Prec@5 66.797 (66.562) Epoch: [15][4450/5809] Time 0.451 (0.345) Data 0.390 (0.267) Loss 2.5701 (2.6273) Prec@1 39.453 (36.162) Prec@5 69.922 (66.563) Epoch: [15][4460/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.5081 (2.6271) Prec@1 37.891 (36.164) Prec@5 67.578 (66.564) Epoch: [15][4470/5809] Time 0.494 (0.345) Data 0.433 (0.267) Loss 2.5202 (2.6270) Prec@1 41.016 (36.168) Prec@5 69.922 (66.566) Epoch: [15][4480/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.6352 (2.6269) Prec@1 33.203 (36.169) Prec@5 67.188 (66.568) Epoch: [15][4490/5809] Time 0.621 (0.345) Data 0.561 (0.267) Loss 2.6733 (2.6270) Prec@1 35.547 (36.165) Prec@5 65.625 (66.566) Epoch: [15][4500/5809] Time 0.133 (0.345) Data 0.051 (0.267) Loss 2.5676 (2.6271) Prec@1 39.453 (36.166) Prec@5 68.359 (66.567) Epoch: [15][4510/5809] Time 0.749 (0.345) Data 0.688 (0.267) Loss 2.6271 (2.6270) Prec@1 35.156 (36.167) Prec@5 69.141 (66.571) Epoch: [15][4520/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.6916 (2.6270) Prec@1 35.156 (36.168) Prec@5 64.453 (66.573) Epoch: [15][4530/5809] Time 0.849 (0.345) Data 0.789 (0.267) Loss 2.4680 (2.6270) Prec@1 36.328 (36.167) Prec@5 68.750 (66.574) Epoch: [15][4540/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.5782 (2.6269) Prec@1 39.844 (36.172) Prec@5 69.531 (66.575) Epoch: [15][4550/5809] Time 0.808 (0.345) Data 0.747 (0.267) Loss 2.5924 (2.6268) Prec@1 37.109 (36.177) Prec@5 69.141 (66.579) Epoch: [15][4560/5809] Time 0.130 (0.345) Data 0.043 (0.267) Loss 2.9046 (2.6269) Prec@1 28.906 (36.176) Prec@5 58.594 (66.575) Epoch: [15][4570/5809] Time 0.329 (0.345) Data 0.268 (0.267) Loss 2.8721 (2.6270) Prec@1 35.547 (36.177) Prec@5 58.594 (66.572) Epoch: [15][4580/5809] Time 0.229 (0.345) Data 0.168 (0.267) Loss 2.4818 (2.6270) Prec@1 42.578 (36.176) Prec@5 67.578 (66.570) Epoch: [15][4590/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.5933 (2.6269) Prec@1 30.859 (36.177) Prec@5 67.578 (66.571) Epoch: [15][4600/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.9199 (2.6272) Prec@1 29.688 (36.172) Prec@5 58.203 (66.565) Epoch: [15][4610/5809] Time 0.172 (0.345) Data 0.111 (0.267) Loss 2.5216 (2.6273) Prec@1 41.016 (36.172) Prec@5 67.188 (66.562) Epoch: [15][4620/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.6452 (2.6274) Prec@1 37.500 (36.170) Prec@5 67.578 (66.559) Epoch: [15][4630/5809] Time 0.127 (0.345) Data 0.056 (0.267) Loss 2.6644 (2.6275) Prec@1 34.766 (36.170) Prec@5 64.062 (66.560) Epoch: [15][4640/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.6085 (2.6273) Prec@1 37.500 (36.173) Prec@5 68.359 (66.560) Epoch: [15][4650/5809] Time 0.129 (0.345) Data 0.001 (0.267) Loss 2.6872 (2.6274) Prec@1 36.328 (36.172) Prec@5 64.453 (66.558) Epoch: [15][4660/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.6853 (2.6275) Prec@1 34.375 (36.173) Prec@5 64.844 (66.554) Epoch: [15][4670/5809] Time 0.141 (0.345) Data 0.052 (0.267) Loss 2.6968 (2.6273) Prec@1 37.109 (36.173) Prec@5 64.844 (66.557) Epoch: [15][4680/5809] Time 0.151 (0.345) Data 0.090 (0.267) Loss 2.5923 (2.6272) Prec@1 36.328 (36.175) Prec@5 68.750 (66.561) Epoch: [15][4690/5809] Time 0.415 (0.345) Data 0.354 (0.267) Loss 2.7693 (2.6273) Prec@1 37.500 (36.175) Prec@5 65.234 (66.559) Epoch: [15][4700/5809] Time 0.389 (0.345) Data 0.330 (0.267) Loss 2.3744 (2.6271) Prec@1 41.797 (36.176) Prec@5 69.922 (66.566) Epoch: [15][4710/5809] Time 0.370 (0.345) Data 0.310 (0.267) Loss 2.5796 (2.6272) Prec@1 39.844 (36.173) Prec@5 66.016 (66.565) Epoch: [15][4720/5809] Time 0.496 (0.345) Data 0.436 (0.267) Loss 2.4372 (2.6272) Prec@1 38.672 (36.173) Prec@5 68.750 (66.566) Epoch: [15][4730/5809] Time 0.206 (0.345) Data 0.145 (0.267) Loss 2.7712 (2.6273) Prec@1 33.984 (36.170) Prec@5 62.891 (66.562) Epoch: [15][4740/5809] Time 0.221 (0.345) Data 0.161 (0.267) Loss 2.6678 (2.6273) Prec@1 37.891 (36.173) Prec@5 64.453 (66.562) Epoch: [15][4750/5809] Time 0.133 (0.345) Data 0.052 (0.267) Loss 2.5690 (2.6273) Prec@1 33.594 (36.171) Prec@5 68.750 (66.564) Epoch: [15][4760/5809] Time 0.387 (0.345) Data 0.327 (0.267) Loss 2.5954 (2.6273) Prec@1 39.453 (36.171) Prec@5 64.844 (66.563) Epoch: [15][4770/5809] Time 0.183 (0.345) Data 0.122 (0.267) Loss 2.5984 (2.6273) Prec@1 33.984 (36.172) Prec@5 62.109 (66.564) Epoch: [15][4780/5809] Time 0.565 (0.345) Data 0.504 (0.267) Loss 2.9336 (2.6274) Prec@1 30.469 (36.168) Prec@5 61.719 (66.563) Epoch: [15][4790/5809] Time 0.229 (0.345) Data 0.168 (0.267) Loss 2.5132 (2.6274) Prec@1 38.672 (36.166) Prec@5 69.531 (66.564) Epoch: [15][4800/5809] Time 0.709 (0.345) Data 0.648 (0.267) Loss 2.6752 (2.6275) Prec@1 34.375 (36.164) Prec@5 62.500 (66.561) Epoch: [15][4810/5809] Time 0.205 (0.345) Data 0.146 (0.267) Loss 2.4203 (2.6275) Prec@1 39.062 (36.163) Prec@5 70.703 (66.560) Epoch: [15][4820/5809] Time 0.745 (0.345) Data 0.685 (0.267) Loss 2.5939 (2.6276) Prec@1 37.109 (36.165) Prec@5 67.188 (66.560) Epoch: [15][4830/5809] Time 0.130 (0.345) Data 0.001 (0.267) Loss 2.4859 (2.6276) Prec@1 34.766 (36.168) Prec@5 68.359 (66.560) Epoch: [15][4840/5809] Time 0.562 (0.345) Data 0.502 (0.267) Loss 2.8489 (2.6277) Prec@1 32.422 (36.168) Prec@5 63.281 (66.557) Epoch: [15][4850/5809] Time 0.212 (0.345) Data 0.144 (0.267) Loss 2.3542 (2.6277) Prec@1 44.141 (36.169) Prec@5 68.750 (66.558) Epoch: [15][4860/5809] Time 0.536 (0.345) Data 0.475 (0.267) Loss 2.6484 (2.6277) Prec@1 36.328 (36.168) Prec@5 64.844 (66.557) Epoch: [15][4870/5809] Time 0.128 (0.345) Data 0.001 (0.267) Loss 2.5176 (2.6277) Prec@1 39.062 (36.167) Prec@5 69.141 (66.557) Epoch: [15][4880/5809] Time 0.535 (0.345) Data 0.475 (0.267) Loss 2.4875 (2.6276) Prec@1 34.375 (36.168) Prec@5 69.141 (66.560) Epoch: [15][4890/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.6091 (2.6276) Prec@1 36.719 (36.166) Prec@5 67.578 (66.560) Epoch: [15][4900/5809] Time 0.703 (0.345) Data 0.642 (0.267) Loss 2.6321 (2.6275) Prec@1 39.844 (36.169) Prec@5 64.453 (66.562) Epoch: [15][4910/5809] Time 0.140 (0.345) Data 0.001 (0.267) Loss 2.4209 (2.6274) Prec@1 42.188 (36.171) Prec@5 69.531 (66.564) Epoch: [15][4920/5809] Time 0.532 (0.345) Data 0.472 (0.267) Loss 2.6202 (2.6273) Prec@1 38.672 (36.174) Prec@5 68.359 (66.570) Epoch: [15][4930/5809] Time 0.154 (0.345) Data 0.094 (0.267) Loss 2.7492 (2.6272) Prec@1 31.250 (36.176) Prec@5 63.281 (66.571) Epoch: [15][4940/5809] Time 0.528 (0.345) Data 0.467 (0.267) Loss 2.7514 (2.6270) Prec@1 32.812 (36.176) Prec@5 61.719 (66.574) Epoch: [15][4950/5809] Time 0.132 (0.345) Data 0.001 (0.267) Loss 2.3064 (2.6270) Prec@1 40.625 (36.175) Prec@5 77.734 (66.577) Epoch: [15][4960/5809] Time 0.484 (0.345) Data 0.425 (0.267) Loss 2.5324 (2.6269) Prec@1 37.500 (36.178) Prec@5 66.797 (66.575) Epoch: [15][4970/5809] Time 0.281 (0.345) Data 0.213 (0.267) Loss 2.7152 (2.6270) Prec@1 32.812 (36.176) Prec@5 67.578 (66.575) Epoch: [15][4980/5809] Time 0.445 (0.345) Data 0.385 (0.267) Loss 2.3552 (2.6270) Prec@1 41.406 (36.176) Prec@5 71.094 (66.574) Epoch: [15][4990/5809] Time 0.294 (0.345) Data 0.227 (0.267) Loss 2.5254 (2.6270) Prec@1 36.328 (36.174) Prec@5 71.094 (66.573) Epoch: [15][5000/5809] Time 0.565 (0.345) Data 0.504 (0.267) Loss 2.9124 (2.6271) Prec@1 32.031 (36.171) Prec@5 57.812 (66.569) Epoch: [15][5010/5809] Time 0.140 (0.345) Data 0.053 (0.267) Loss 2.8034 (2.6273) Prec@1 35.156 (36.171) Prec@5 67.188 (66.567) Epoch: [15][5020/5809] Time 0.630 (0.345) Data 0.569 (0.267) Loss 2.6272 (2.6273) Prec@1 38.281 (36.170) Prec@5 67.188 (66.565) Epoch: [15][5030/5809] Time 0.134 (0.345) Data 0.058 (0.267) Loss 2.8706 (2.6274) Prec@1 29.688 (36.167) Prec@5 64.062 (66.564) Epoch: [15][5040/5809] Time 0.575 (0.345) Data 0.515 (0.267) Loss 2.7479 (2.6274) Prec@1 31.641 (36.167) Prec@5 62.109 (66.565) Epoch: [15][5050/5809] Time 0.221 (0.345) Data 0.160 (0.267) Loss 2.4781 (2.6273) Prec@1 38.281 (36.169) Prec@5 67.188 (66.564) Epoch: [15][5060/5809] Time 0.323 (0.345) Data 0.262 (0.267) Loss 2.6150 (2.6273) Prec@1 32.422 (36.166) Prec@5 66.406 (66.564) Epoch: [15][5070/5809] Time 0.322 (0.345) Data 0.262 (0.267) Loss 2.8222 (2.6272) Prec@1 34.766 (36.165) Prec@5 63.672 (66.566) Epoch: [15][5080/5809] Time 0.417 (0.345) Data 0.357 (0.267) Loss 2.6137 (2.6272) Prec@1 31.641 (36.166) Prec@5 64.844 (66.566) Epoch: [15][5090/5809] Time 0.335 (0.345) Data 0.276 (0.267) Loss 2.6635 (2.6271) Prec@1 34.766 (36.169) Prec@5 66.016 (66.569) Epoch: [15][5100/5809] Time 0.370 (0.345) Data 0.309 (0.267) Loss 2.5825 (2.6269) Prec@1 36.328 (36.174) Prec@5 67.969 (66.573) Epoch: [15][5110/5809] Time 0.573 (0.345) Data 0.513 (0.267) Loss 2.7538 (2.6268) Prec@1 34.766 (36.176) Prec@5 60.547 (66.574) Epoch: [15][5120/5809] Time 0.459 (0.345) Data 0.398 (0.267) Loss 2.5269 (2.6269) Prec@1 39.844 (36.175) Prec@5 70.703 (66.573) Epoch: [15][5130/5809] Time 0.645 (0.345) Data 0.584 (0.267) Loss 2.6549 (2.6269) Prec@1 38.281 (36.173) Prec@5 65.625 (66.573) Epoch: [15][5140/5809] Time 0.421 (0.345) Data 0.360 (0.267) Loss 2.4603 (2.6268) Prec@1 38.672 (36.173) Prec@5 71.484 (66.574) Epoch: [15][5150/5809] Time 0.501 (0.345) Data 0.440 (0.267) Loss 2.4780 (2.6268) Prec@1 36.328 (36.173) Prec@5 67.578 (66.575) Epoch: [15][5160/5809] Time 0.387 (0.345) Data 0.327 (0.267) Loss 2.4924 (2.6269) Prec@1 41.797 (36.175) Prec@5 70.312 (66.574) Epoch: [15][5170/5809] Time 0.397 (0.345) Data 0.337 (0.267) Loss 2.5852 (2.6270) Prec@1 35.547 (36.171) Prec@5 66.797 (66.573) Epoch: [15][5180/5809] Time 0.307 (0.345) Data 0.248 (0.267) Loss 2.8245 (2.6271) Prec@1 30.859 (36.171) Prec@5 60.938 (66.569) Epoch: [15][5190/5809] Time 0.320 (0.345) Data 0.259 (0.267) Loss 2.4279 (2.6271) Prec@1 39.062 (36.171) Prec@5 71.094 (66.569) Epoch: [15][5200/5809] Time 0.695 (0.345) Data 0.635 (0.267) Loss 2.5171 (2.6271) Prec@1 39.844 (36.172) Prec@5 67.578 (66.569) Epoch: [15][5210/5809] Time 0.483 (0.345) Data 0.422 (0.267) Loss 2.7305 (2.6272) Prec@1 36.328 (36.170) Prec@5 62.891 (66.569) Epoch: [15][5220/5809] Time 0.326 (0.345) Data 0.266 (0.267) Loss 2.6436 (2.6273) Prec@1 37.891 (36.170) Prec@5 64.453 (66.565) Epoch: [15][5230/5809] Time 0.416 (0.345) Data 0.356 (0.267) Loss 2.7775 (2.6273) Prec@1 33.984 (36.167) Prec@5 65.625 (66.565) Epoch: [15][5240/5809] Time 0.340 (0.345) Data 0.280 (0.267) Loss 2.5135 (2.6273) Prec@1 39.844 (36.166) Prec@5 67.578 (66.562) Epoch: [15][5250/5809] Time 0.478 (0.345) Data 0.418 (0.267) Loss 2.6210 (2.6273) Prec@1 36.719 (36.164) Prec@5 65.234 (66.562) Epoch: [15][5260/5809] Time 0.298 (0.345) Data 0.239 (0.267) Loss 2.7577 (2.6273) Prec@1 31.641 (36.166) Prec@5 64.062 (66.562) Epoch: [15][5270/5809] Time 0.401 (0.345) Data 0.341 (0.267) Loss 2.4248 (2.6272) Prec@1 43.359 (36.165) Prec@5 71.875 (66.565) Epoch: [15][5280/5809] Time 0.239 (0.345) Data 0.179 (0.267) Loss 2.6097 (2.6272) Prec@1 33.594 (36.165) Prec@5 66.016 (66.568) Epoch: [15][5290/5809] Time 0.314 (0.345) Data 0.254 (0.267) Loss 2.8538 (2.6272) Prec@1 30.078 (36.163) Prec@5 62.109 (66.567) Epoch: [15][5300/5809] Time 0.282 (0.345) Data 0.222 (0.267) Loss 2.7176 (2.6273) Prec@1 31.641 (36.161) Prec@5 64.844 (66.566) Epoch: [15][5310/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.7469 (2.6273) Prec@1 34.766 (36.162) Prec@5 65.625 (66.567) Epoch: [15][5320/5809] Time 0.260 (0.345) Data 0.199 (0.267) Loss 2.5402 (2.6274) Prec@1 41.016 (36.161) Prec@5 67.188 (66.565) Epoch: [15][5330/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.4529 (2.6274) Prec@1 39.844 (36.162) Prec@5 68.359 (66.563) Epoch: [15][5340/5809] Time 0.552 (0.345) Data 0.492 (0.267) Loss 2.7645 (2.6274) Prec@1 33.594 (36.164) Prec@5 67.188 (66.562) Epoch: [15][5350/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.5705 (2.6273) Prec@1 38.281 (36.166) Prec@5 68.359 (66.565) Epoch: [15][5360/5809] Time 0.410 (0.345) Data 0.349 (0.268) Loss 2.4944 (2.6272) Prec@1 37.891 (36.167) Prec@5 67.578 (66.566) Epoch: [15][5370/5809] Time 0.133 (0.345) Data 0.051 (0.267) Loss 2.6831 (2.6273) Prec@1 35.938 (36.165) Prec@5 63.672 (66.565) Epoch: [15][5380/5809] Time 0.284 (0.345) Data 0.225 (0.268) Loss 2.6930 (2.6274) Prec@1 32.031 (36.163) Prec@5 63.672 (66.562) Epoch: [15][5390/5809] Time 0.134 (0.345) Data 0.051 (0.267) Loss 2.5715 (2.6274) Prec@1 38.672 (36.163) Prec@5 68.750 (66.564) Epoch: [15][5400/5809] Time 0.460 (0.345) Data 0.400 (0.268) Loss 2.6654 (2.6273) Prec@1 35.156 (36.163) Prec@5 63.281 (66.563) Epoch: [15][5410/5809] Time 0.133 (0.345) Data 0.065 (0.267) Loss 2.6175 (2.6274) Prec@1 37.891 (36.163) Prec@5 66.016 (66.562) Epoch: [15][5420/5809] Time 0.133 (0.345) Data 0.001 (0.268) Loss 2.5448 (2.6275) Prec@1 36.328 (36.161) Prec@5 66.406 (66.560) Epoch: [15][5430/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.6374 (2.6274) Prec@1 35.156 (36.162) Prec@5 65.234 (66.560) Epoch: [15][5440/5809] Time 0.133 (0.345) Data 0.052 (0.267) Loss 2.6766 (2.6274) Prec@1 34.766 (36.162) Prec@5 68.359 (66.561) Epoch: [15][5450/5809] Time 0.231 (0.345) Data 0.170 (0.267) Loss 2.7289 (2.6275) Prec@1 34.766 (36.162) Prec@5 62.500 (66.559) Epoch: [15][5460/5809] Time 0.204 (0.345) Data 0.143 (0.268) Loss 2.7384 (2.6275) Prec@1 35.547 (36.160) Prec@5 64.844 (66.560) Epoch: [15][5470/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.7864 (2.6274) Prec@1 37.109 (36.161) Prec@5 60.547 (66.561) Epoch: [15][5480/5809] Time 0.129 (0.345) Data 0.001 (0.267) Loss 2.7338 (2.6274) Prec@1 34.766 (36.163) Prec@5 59.766 (66.561) Epoch: [15][5490/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.8238 (2.6275) Prec@1 30.469 (36.160) Prec@5 60.156 (66.560) Epoch: [15][5500/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 2.6055 (2.6276) Prec@1 35.156 (36.158) Prec@5 64.844 (66.558) Epoch: [15][5510/5809] Time 0.133 (0.345) Data 0.050 (0.267) Loss 2.3549 (2.6275) Prec@1 40.625 (36.159) Prec@5 72.656 (66.561) Epoch: [15][5520/5809] Time 0.133 (0.345) Data 0.001 (0.267) Loss 3.0480 (2.6276) Prec@1 29.297 (36.161) Prec@5 60.547 (66.561) Epoch: [15][5530/5809] Time 0.211 (0.345) Data 0.151 (0.267) Loss 2.5713 (2.6276) Prec@1 37.109 (36.160) Prec@5 67.969 (66.560) Epoch: [15][5540/5809] Time 0.460 (0.345) Data 0.400 (0.267) Loss 2.6943 (2.6276) Prec@1 34.766 (36.159) Prec@5 67.578 (66.560) Epoch: [15][5550/5809] Time 0.239 (0.345) Data 0.179 (0.267) Loss 2.6982 (2.6278) Prec@1 30.859 (36.157) Prec@5 67.188 (66.557) Epoch: [15][5560/5809] Time 0.153 (0.345) Data 0.093 (0.267) Loss 2.5031 (2.6279) Prec@1 38.281 (36.157) Prec@5 69.141 (66.556) Epoch: [15][5570/5809] Time 0.344 (0.345) Data 0.284 (0.267) Loss 2.6405 (2.6278) Prec@1 35.156 (36.156) Prec@5 67.578 (66.556) Epoch: [15][5580/5809] Time 0.134 (0.345) Data 0.065 (0.267) Loss 2.5993 (2.6279) Prec@1 39.062 (36.155) Prec@5 63.672 (66.555) Epoch: [15][5590/5809] Time 0.543 (0.345) Data 0.483 (0.267) Loss 2.6750 (2.6280) Prec@1 35.938 (36.155) Prec@5 67.188 (66.553) Epoch: [15][5600/5809] Time 0.323 (0.345) Data 0.262 (0.267) Loss 2.4745 (2.6279) Prec@1 39.062 (36.156) Prec@5 69.922 (66.556) Epoch: [15][5610/5809] Time 0.676 (0.345) Data 0.616 (0.267) Loss 2.6186 (2.6279) Prec@1 37.500 (36.154) Prec@5 69.922 (66.557) Epoch: [15][5620/5809] Time 0.243 (0.345) Data 0.183 (0.267) Loss 2.6782 (2.6279) Prec@1 33.984 (36.152) Prec@5 61.719 (66.556) Epoch: [15][5630/5809] Time 0.705 (0.345) Data 0.645 (0.267) Loss 2.8303 (2.6279) Prec@1 33.594 (36.154) Prec@5 60.156 (66.555) Epoch: [15][5640/5809] Time 0.167 (0.345) Data 0.106 (0.267) Loss 2.5656 (2.6280) Prec@1 35.156 (36.151) Prec@5 67.578 (66.553) Epoch: [15][5650/5809] Time 0.613 (0.345) Data 0.552 (0.267) Loss 2.6244 (2.6280) Prec@1 39.844 (36.149) Prec@5 65.234 (66.554) Epoch: [15][5660/5809] Time 0.139 (0.345) Data 0.001 (0.267) Loss 2.7375 (2.6281) Prec@1 32.812 (36.149) Prec@5 64.844 (66.553) Epoch: [15][5670/5809] Time 0.663 (0.345) Data 0.602 (0.267) Loss 2.6043 (2.6281) Prec@1 38.672 (36.148) Prec@5 62.109 (66.553) Epoch: [15][5680/5809] Time 0.134 (0.345) Data 0.001 (0.267) Loss 2.5791 (2.6279) Prec@1 33.984 (36.149) Prec@5 66.016 (66.555) Epoch: [15][5690/5809] Time 0.464 (0.345) Data 0.403 (0.267) Loss 2.6838 (2.6279) Prec@1 33.594 (36.149) Prec@5 64.062 (66.554) Epoch: [15][5700/5809] Time 0.128 (0.345) Data 0.001 (0.267) Loss 2.3493 (2.6279) Prec@1 42.969 (36.151) Prec@5 74.609 (66.555) Epoch: [15][5710/5809] Time 0.414 (0.345) Data 0.354 (0.267) Loss 2.7112 (2.6279) Prec@1 36.328 (36.150) Prec@5 65.625 (66.555) Epoch: [15][5720/5809] Time 0.140 (0.345) Data 0.001 (0.267) Loss 2.8257 (2.6279) Prec@1 33.203 (36.148) Prec@5 62.500 (66.554) Epoch: [15][5730/5809] Time 0.635 (0.345) Data 0.575 (0.267) Loss 2.8078 (2.6279) Prec@1 31.250 (36.148) Prec@5 64.062 (66.557) Epoch: [15][5740/5809] Time 0.141 (0.345) Data 0.001 (0.267) Loss 2.7733 (2.6279) Prec@1 35.156 (36.146) Prec@5 62.500 (66.557) Epoch: [15][5750/5809] Time 0.636 (0.345) Data 0.576 (0.267) Loss 2.6149 (2.6279) Prec@1 36.328 (36.144) Prec@5 67.578 (66.557) Epoch: [15][5760/5809] Time 0.179 (0.345) Data 0.118 (0.267) Loss 2.4867 (2.6280) Prec@1 40.625 (36.144) Prec@5 68.750 (66.555) Epoch: [15][5770/5809] Time 0.625 (0.345) Data 0.564 (0.267) Loss 2.5297 (2.6280) Prec@1 36.719 (36.144) Prec@5 69.922 (66.556) Epoch: [15][5780/5809] Time 0.170 (0.345) Data 0.109 (0.267) Loss 2.7526 (2.6281) Prec@1 30.469 (36.140) Prec@5 62.109 (66.554) Epoch: [15][5790/5809] Time 0.715 (0.345) Data 0.655 (0.267) Loss 2.6738 (2.6282) Prec@1 37.109 (36.138) Prec@5 63.672 (66.551) Epoch: [15][5800/5809] Time 0.609 (0.345) Data 0.548 (0.267) Loss 2.6746 (2.6283) Prec@1 35.938 (36.137) Prec@5 64.844 (66.549) Test: [0/143] Time 1.404 (1.404) Loss 1.4999 (1.4999) Prec@1 57.812 (57.812) Prec@5 90.625 (90.625) Test: [10/143] Time 0.055 (0.364) Loss 10.3663 (8.9708) Prec@1 0.000 (6.925) Prec@5 0.000 (14.844) Test: [20/143] Time 0.711 (0.342) Loss 11.2358 (9.8343) Prec@1 0.000 (3.720) Prec@5 0.391 (8.464) Test: [30/143] Time 0.119 (0.311) Loss 12.3077 (10.3783) Prec@1 0.000 (2.558) Prec@5 0.000 (6.023) Test: [40/143] Time 0.443 (0.308) Loss 10.9327 (10.5265) Prec@1 0.391 (1.972) Prec@5 1.172 (4.802) Test: [50/143] Time 0.343 (0.300) Loss 9.9096 (10.4968) Prec@1 0.000 (1.700) Prec@5 0.391 (4.925) Test: [60/143] Time 0.173 (0.296) Loss 11.6616 (10.6010) Prec@1 0.000 (1.454) Prec@5 0.781 (4.226) Test: [70/143] Time 0.124 (0.293) Loss 9.3940 (10.6803) Prec@1 0.000 (1.254) Prec@5 0.391 (3.719) Test: [80/143] Time 0.375 (0.294) Loss 8.6110 (10.6454) Prec@1 0.000 (1.148) Prec@5 1.562 (3.540) Test: [90/143] Time 0.199 (0.290) Loss 8.8570 (10.5627) Prec@1 0.781 (1.035) Prec@5 1.562 (3.305) Test: [100/143] Time 0.119 (0.290) Loss 10.7531 (10.5200) Prec@1 0.000 (0.955) Prec@5 0.391 (3.071) Test: [110/143] Time 0.177 (0.290) Loss 12.6388 (10.5077) Prec@1 0.000 (0.894) Prec@5 0.000 (2.917) Test: [120/143] Time 0.210 (0.290) Loss 13.6068 (10.5891) Prec@1 0.000 (0.843) Prec@5 0.000 (2.767) Test: [130/143] Time 0.539 (0.289) Loss 13.9027 (10.9020) Prec@1 0.000 (0.778) Prec@5 0.000 (2.555) Test: [140/143] Time 0.336 (0.288) Loss 15.4814 (11.1740) Prec@1 0.000 (0.723) Prec@5 0.000 (2.374) * Prec@1 0.715 Prec@5 2.349 Epoch: [16][0/5809] Time 2.474 (2.474) Data 2.412 (2.412) Loss 2.6478 (2.6478) Prec@1 33.594 (33.594) Prec@5 64.844 (64.844) Epoch: [16][10/5809] Time 0.134 (0.500) Data 0.001 (0.393) Loss 2.7408 (2.5738) Prec@1 30.859 (37.393) Prec@5 66.016 (67.152) Epoch: [16][20/5809] Time 0.860 (0.444) Data 0.793 (0.343) Loss 2.4705 (2.5686) Prec@1 38.672 (37.109) Prec@5 69.531 (67.690) Epoch: [16][30/5809] Time 0.148 (0.402) Data 0.087 (0.306) Loss 2.5726 (2.5721) Prec@1 38.672 (37.261) Prec@5 68.750 (67.616) Epoch: [16][40/5809] Time 0.627 (0.398) Data 0.566 (0.304) Loss 2.5197 (2.5766) Prec@1 35.547 (37.186) Prec@5 70.312 (67.559) Epoch: [16][50/5809] Time 0.389 (0.386) Data 0.328 (0.296) Loss 2.4685 (2.5704) Prec@1 39.062 (37.224) Prec@5 71.875 (67.816) Epoch: [16][60/5809] Time 0.393 (0.378) Data 0.333 (0.294) Loss 2.6818 (2.5676) Prec@1 37.500 (37.327) Prec@5 66.016 (67.898) Epoch: [16][70/5809] Time 0.218 (0.375) Data 0.159 (0.293) Loss 2.4321 (2.5611) Prec@1 40.234 (37.379) Prec@5 72.266 (68.040) Epoch: [16][80/5809] Time 0.133 (0.374) Data 0.001 (0.294) Loss 2.5718 (2.5666) Prec@1 35.547 (37.085) Prec@5 64.062 (67.911) Epoch: [16][90/5809] Time 0.450 (0.372) Data 0.389 (0.295) Loss 2.5048 (2.5697) Prec@1 37.500 (37.135) Prec@5 70.703 (67.900) Epoch: [16][100/5809] Time 0.134 (0.370) Data 0.001 (0.293) Loss 2.4737 (2.5613) Prec@1 35.547 (37.202) Prec@5 70.312 (68.042) Epoch: [16][110/5809] Time 0.224 (0.367) Data 0.165 (0.291) Loss 2.6906 (2.5612) Prec@1 38.281 (37.303) Prec@5 62.891 (67.898) Epoch: [16][120/5809] Time 0.255 (0.367) Data 0.195 (0.292) Loss 2.5857 (2.5593) Prec@1 36.719 (37.413) Prec@5 66.016 (67.898) Epoch: [16][130/5809] Time 0.191 (0.364) Data 0.131 (0.290) Loss 2.6496 (2.5663) Prec@1 35.938 (37.258) Prec@5 69.922 (67.703) Epoch: [16][140/5809] Time 0.251 (0.366) Data 0.189 (0.292) Loss 2.6941 (2.5698) Prec@1 35.156 (37.198) Prec@5 65.234 (67.672) Epoch: [16][150/5809] Time 0.195 (0.363) Data 0.135 (0.288) Loss 2.5572 (2.5700) Prec@1 36.328 (37.192) Prec@5 67.188 (67.658) Epoch: [16][160/5809] Time 0.134 (0.365) Data 0.051 (0.289) Loss 2.6130 (2.5692) Prec@1 33.594 (37.182) Prec@5 66.406 (67.702) Epoch: [16][170/5809] Time 0.135 (0.361) Data 0.073 (0.287) Loss 2.6054 (2.5665) Prec@1 34.766 (37.203) Prec@5 67.969 (67.754) Epoch: [16][180/5809] Time 0.140 (0.363) Data 0.001 (0.289) Loss 2.5718 (2.5635) Prec@1 39.062 (37.209) Prec@5 64.844 (67.850) Epoch: [16][190/5809] Time 0.316 (0.361) Data 0.257 (0.287) Loss 2.5544 (2.5659) Prec@1 37.891 (37.167) Prec@5 69.141 (67.815) Epoch: [16][200/5809] Time 0.141 (0.361) Data 0.074 (0.288) Loss 2.6831 (2.5717) Prec@1 35.156 (37.018) Prec@5 62.500 (67.712) Epoch: [16][210/5809] Time 0.286 (0.359) Data 0.227 (0.285) Loss 2.7097 (2.5708) Prec@1 35.156 (37.046) Prec@5 66.406 (67.756) Epoch: [16][220/5809] Time 0.159 (0.360) Data 0.098 (0.286) Loss 2.6941 (2.5723) Prec@1 32.422 (37.025) Prec@5 62.891 (67.734) Epoch: [16][230/5809] Time 0.245 (0.358) Data 0.185 (0.284) Loss 2.6957 (2.5742) Prec@1 38.672 (37.055) Prec@5 64.844 (67.680) Epoch: [16][240/5809] Time 0.141 (0.359) Data 0.001 (0.285) Loss 2.6623 (2.5746) Prec@1 38.281 (37.072) Prec@5 66.406 (67.653) Epoch: [16][250/5809] Time 0.202 (0.358) Data 0.142 (0.283) Loss 2.5874 (2.5762) Prec@1 38.672 (37.053) Prec@5 66.016 (67.636) Epoch: [16][260/5809] Time 0.135 (0.359) Data 0.074 (0.284) Loss 2.5340 (2.5769) Prec@1 36.328 (37.102) Prec@5 69.531 (67.659) Epoch: [16][270/5809] Time 0.415 (0.358) Data 0.355 (0.283) Loss 2.6588 (2.5788) Prec@1 34.766 (37.101) Prec@5 64.844 (67.610) Epoch: [16][280/5809] Time 0.139 (0.358) Data 0.001 (0.283) Loss 2.6305 (2.5812) Prec@1 37.500 (37.011) Prec@5 67.969 (67.584) Epoch: [16][290/5809] Time 0.133 (0.357) Data 0.001 (0.282) Loss 2.6456 (2.5824) Prec@1 36.328 (36.950) Prec@5 64.062 (67.537) Epoch: [16][300/5809] Time 0.423 (0.358) Data 0.362 (0.283) Loss 2.6950 (2.5824) Prec@1 35.547 (36.967) Prec@5 66.797 (67.528) Epoch: [16][310/5809] Time 0.134 (0.357) Data 0.001 (0.282) Loss 2.5697 (2.5839) Prec@1 35.156 (36.912) Prec@5 67.578 (67.478) Epoch: [16][320/5809] Time 0.428 (0.357) Data 0.367 (0.282) Loss 2.8766 (2.5851) Prec@1 33.594 (36.894) Prec@5 60.547 (67.466) Epoch: [16][330/5809] Time 0.423 (0.357) Data 0.362 (0.283) Loss 2.6897 (2.5842) Prec@1 34.766 (36.889) Prec@5 64.844 (67.484) Epoch: [16][340/5809] Time 0.646 (0.358) Data 0.586 (0.283) Loss 2.6062 (2.5857) Prec@1 36.719 (36.854) Prec@5 66.406 (67.490) Epoch: [16][350/5809] Time 0.726 (0.358) Data 0.667 (0.283) Loss 2.7068 (2.5856) Prec@1 34.375 (36.843) Prec@5 64.453 (67.478) Epoch: [16][360/5809] Time 0.388 (0.357) Data 0.328 (0.282) Loss 2.5423 (2.5875) Prec@1 41.016 (36.802) Prec@5 67.578 (67.433) Epoch: [16][370/5809] Time 0.315 (0.356) Data 0.255 (0.282) Loss 2.6100 (2.5877) Prec@1 39.062 (36.804) Prec@5 66.406 (67.433) Epoch: [16][380/5809] Time 0.133 (0.356) Data 0.004 (0.282) Loss 2.5505 (2.5867) Prec@1 35.938 (36.818) Prec@5 73.438 (67.477) Epoch: [16][390/5809] Time 0.411 (0.356) Data 0.350 (0.282) Loss 2.4413 (2.5878) Prec@1 37.500 (36.787) Prec@5 71.484 (67.483) Epoch: [16][400/5809] Time 0.314 (0.356) Data 0.247 (0.282) Loss 2.4773 (2.5881) Prec@1 35.938 (36.790) Prec@5 70.312 (67.482) Epoch: [16][410/5809] Time 0.261 (0.355) Data 0.201 (0.281) Loss 2.5337 (2.5876) Prec@1 40.625 (36.806) Prec@5 65.234 (67.474) Epoch: [16][420/5809] Time 0.453 (0.356) Data 0.388 (0.282) Loss 2.2716 (2.5869) Prec@1 42.578 (36.840) Prec@5 74.219 (67.483) Epoch: [16][430/5809] Time 0.128 (0.355) Data 0.043 (0.281) Loss 2.6712 (2.5895) Prec@1 33.594 (36.789) Prec@5 63.672 (67.441) Epoch: [16][440/5809] Time 0.497 (0.355) Data 0.437 (0.281) Loss 2.7096 (2.5920) Prec@1 33.203 (36.751) Prec@5 64.453 (67.393) Epoch: [16][450/5809] Time 0.134 (0.354) Data 0.053 (0.280) Loss 2.3909 (2.5908) Prec@1 39.844 (36.751) Prec@5 69.141 (67.408) Epoch: [16][460/5809] Time 0.127 (0.354) Data 0.054 (0.281) Loss 2.4273 (2.5904) Prec@1 40.234 (36.762) Prec@5 70.703 (67.432) Epoch: [16][470/5809] Time 0.224 (0.354) Data 0.163 (0.280) Loss 2.4130 (2.5889) Prec@1 39.453 (36.789) Prec@5 71.875 (67.469) Epoch: [16][480/5809] Time 0.298 (0.354) Data 0.237 (0.280) Loss 2.4946 (2.5893) Prec@1 40.234 (36.792) Prec@5 67.188 (67.481) Epoch: [16][490/5809] Time 0.416 (0.353) Data 0.355 (0.280) Loss 2.7503 (2.5904) Prec@1 33.594 (36.767) Prec@5 65.625 (67.448) Epoch: [16][500/5809] Time 0.213 (0.353) Data 0.154 (0.280) Loss 2.7396 (2.5901) Prec@1 35.156 (36.777) Prec@5 65.625 (67.447) Epoch: [16][510/5809] Time 0.559 (0.353) Data 0.500 (0.280) Loss 2.7518 (2.5905) Prec@1 33.594 (36.749) Prec@5 64.062 (67.441) Epoch: [16][520/5809] Time 0.133 (0.353) Data 0.001 (0.280) Loss 2.7164 (2.5903) Prec@1 33.203 (36.776) Prec@5 64.844 (67.445) Epoch: [16][530/5809] Time 0.534 (0.353) Data 0.473 (0.280) Loss 2.5896 (2.5914) Prec@1 40.625 (36.764) Prec@5 64.844 (67.406) Epoch: [16][540/5809] Time 0.330 (0.353) Data 0.270 (0.280) Loss 2.6609 (2.5917) Prec@1 36.719 (36.779) Prec@5 67.578 (67.397) Epoch: [16][550/5809] Time 0.531 (0.353) Data 0.464 (0.281) Loss 2.6489 (2.5899) Prec@1 32.812 (36.807) Prec@5 62.500 (67.427) Epoch: [16][560/5809] Time 0.160 (0.352) Data 0.100 (0.280) Loss 2.6095 (2.5904) Prec@1 37.891 (36.789) Prec@5 67.188 (67.419) Epoch: [16][570/5809] Time 0.453 (0.352) Data 0.392 (0.280) Loss 2.5860 (2.5906) Prec@1 37.500 (36.795) Prec@5 65.234 (67.394) Epoch: [16][580/5809] Time 0.303 (0.352) Data 0.242 (0.280) Loss 2.5304 (2.5895) Prec@1 36.719 (36.812) Prec@5 67.578 (67.419) Epoch: [16][590/5809] Time 0.606 (0.352) Data 0.546 (0.280) Loss 2.6380 (2.5888) Prec@1 35.156 (36.812) Prec@5 67.188 (67.428) Epoch: [16][600/5809] Time 0.133 (0.352) Data 0.001 (0.280) Loss 2.5850 (2.5884) Prec@1 36.719 (36.843) Prec@5 67.578 (67.430) Epoch: [16][610/5809] Time 0.736 (0.352) Data 0.676 (0.280) Loss 2.4165 (2.5884) Prec@1 41.797 (36.863) Prec@5 69.531 (67.436) Epoch: [16][620/5809] Time 0.133 (0.351) Data 0.053 (0.279) Loss 2.5233 (2.5885) Prec@1 37.109 (36.846) Prec@5 66.406 (67.428) Epoch: [16][630/5809] Time 0.540 (0.351) Data 0.479 (0.279) Loss 2.4773 (2.5893) Prec@1 42.969 (36.839) Prec@5 72.266 (67.425) Epoch: [16][640/5809] Time 0.133 (0.352) Data 0.001 (0.279) Loss 2.4890 (2.5896) Prec@1 39.062 (36.836) Prec@5 67.969 (67.404) Epoch: [16][650/5809] Time 0.480 (0.351) Data 0.420 (0.279) Loss 2.6114 (2.5903) Prec@1 39.062 (36.825) Prec@5 66.016 (67.382) Epoch: [16][660/5809] Time 0.432 (0.352) Data 0.372 (0.279) Loss 2.6189 (2.5904) Prec@1 38.281 (36.814) Prec@5 66.406 (67.375) Epoch: [16][670/5809] Time 0.340 (0.351) Data 0.280 (0.278) Loss 2.5114 (2.5918) Prec@1 37.500 (36.794) Prec@5 67.578 (67.335) Epoch: [16][680/5809] Time 0.316 (0.351) Data 0.249 (0.278) Loss 2.7434 (2.5917) Prec@1 30.859 (36.782) Prec@5 66.016 (67.347) Epoch: [16][690/5809] Time 0.568 (0.351) Data 0.509 (0.278) Loss 2.4331 (2.5921) Prec@1 39.453 (36.785) Prec@5 70.703 (67.329) Epoch: [16][700/5809] Time 0.152 (0.351) Data 0.092 (0.278) Loss 2.5598 (2.5917) Prec@1 38.281 (36.787) Prec@5 69.922 (67.337) Epoch: [16][710/5809] Time 0.646 (0.351) Data 0.585 (0.278) Loss 2.3649 (2.5919) Prec@1 38.672 (36.771) Prec@5 70.703 (67.330) Epoch: [16][720/5809] Time 0.136 (0.351) Data 0.052 (0.278) Loss 2.7269 (2.5912) Prec@1 33.594 (36.794) Prec@5 63.281 (67.338) Epoch: [16][730/5809] Time 0.523 (0.351) Data 0.463 (0.278) Loss 2.7115 (2.5912) Prec@1 37.891 (36.789) Prec@5 68.359 (67.353) Epoch: [16][740/5809] Time 0.130 (0.351) Data 0.053 (0.278) Loss 2.5440 (2.5917) Prec@1 37.500 (36.774) Prec@5 66.797 (67.346) Epoch: [16][750/5809] Time 0.573 (0.351) Data 0.514 (0.278) Loss 2.3801 (2.5913) Prec@1 42.969 (36.788) Prec@5 71.875 (67.353) Epoch: [16][760/5809] Time 0.234 (0.351) Data 0.173 (0.278) Loss 2.4158 (2.5913) Prec@1 42.188 (36.792) Prec@5 68.750 (67.341) Epoch: [16][770/5809] Time 0.848 (0.351) Data 0.788 (0.278) Loss 2.8717 (2.5919) Prec@1 32.812 (36.780) Prec@5 61.328 (67.314) Epoch: [16][780/5809] Time 0.279 (0.351) Data 0.218 (0.277) Loss 2.4982 (2.5922) Prec@1 37.109 (36.772) Prec@5 69.531 (67.306) Epoch: [16][790/5809] Time 0.737 (0.351) Data 0.678 (0.277) Loss 2.7208 (2.5930) Prec@1 34.375 (36.769) Prec@5 67.188 (67.294) Epoch: [16][800/5809] Time 0.141 (0.350) Data 0.043 (0.277) Loss 2.7053 (2.5943) Prec@1 36.328 (36.748) Prec@5 64.453 (67.278) Epoch: [16][810/5809] Time 0.781 (0.351) Data 0.721 (0.277) Loss 2.5611 (2.5947) Prec@1 36.719 (36.740) Prec@5 69.141 (67.270) Epoch: [16][820/5809] Time 0.139 (0.350) Data 0.001 (0.276) Loss 2.6599 (2.5951) Prec@1 34.766 (36.732) Prec@5 66.016 (67.268) Epoch: [16][830/5809] Time 1.013 (0.351) Data 0.954 (0.277) Loss 2.7415 (2.5962) Prec@1 34.375 (36.707) Prec@5 62.891 (67.239) Epoch: [16][840/5809] Time 0.134 (0.350) Data 0.001 (0.276) Loss 2.4640 (2.5965) Prec@1 36.719 (36.698) Prec@5 69.922 (67.237) Epoch: [16][850/5809] Time 0.739 (0.350) Data 0.673 (0.276) Loss 2.6597 (2.5967) Prec@1 35.938 (36.686) Prec@5 65.625 (67.239) Epoch: [16][860/5809] Time 0.133 (0.350) Data 0.053 (0.275) Loss 2.5655 (2.5970) Prec@1 37.109 (36.695) Prec@5 67.578 (67.241) Epoch: [16][870/5809] Time 0.432 (0.350) Data 0.371 (0.276) Loss 2.6242 (2.5971) Prec@1 33.594 (36.678) Prec@5 65.234 (67.244) Epoch: [16][880/5809] Time 0.132 (0.350) Data 0.052 (0.275) Loss 2.5480 (2.5971) Prec@1 38.281 (36.683) Prec@5 70.703 (67.250) Epoch: [16][890/5809] Time 0.379 (0.350) Data 0.318 (0.275) Loss 2.7467 (2.5975) Prec@1 32.812 (36.679) Prec@5 67.969 (67.252) Epoch: [16][900/5809] Time 0.225 (0.350) Data 0.164 (0.275) Loss 2.7528 (2.5982) Prec@1 32.812 (36.669) Prec@5 65.625 (67.236) Epoch: [16][910/5809] Time 0.411 (0.350) Data 0.343 (0.275) Loss 2.5400 (2.5984) Prec@1 36.328 (36.683) Prec@5 69.922 (67.226) Epoch: [16][920/5809] Time 0.210 (0.350) Data 0.149 (0.275) Loss 2.6550 (2.5990) Prec@1 37.109 (36.678) Prec@5 65.234 (67.221) Epoch: [16][930/5809] Time 0.253 (0.350) Data 0.191 (0.275) Loss 2.6126 (2.5998) Prec@1 38.281 (36.674) Prec@5 64.844 (67.200) Epoch: [16][940/5809] Time 0.133 (0.349) Data 0.001 (0.275) Loss 2.6492 (2.5993) Prec@1 33.984 (36.674) Prec@5 66.016 (67.208) Epoch: [16][950/5809] Time 0.397 (0.350) Data 0.332 (0.275) Loss 2.5089 (2.5995) Prec@1 41.016 (36.669) Prec@5 67.969 (67.201) Epoch: [16][960/5809] Time 0.134 (0.349) Data 0.052 (0.275) Loss 2.7028 (2.6005) Prec@1 37.891 (36.663) Prec@5 64.453 (67.173) Epoch: [16][970/5809] Time 0.472 (0.350) Data 0.411 (0.275) Loss 2.5710 (2.6008) Prec@1 35.547 (36.660) Prec@5 67.969 (67.165) Epoch: [16][980/5809] Time 0.160 (0.349) Data 0.100 (0.275) Loss 2.5831 (2.6011) Prec@1 35.547 (36.661) Prec@5 66.797 (67.152) Epoch: [16][990/5809] Time 0.453 (0.350) Data 0.392 (0.275) Loss 2.6427 (2.6007) Prec@1 36.328 (36.660) Prec@5 65.234 (67.169) Epoch: [16][1000/5809] Time 0.183 (0.349) Data 0.123 (0.275) Loss 2.8370 (2.6012) Prec@1 32.812 (36.639) Prec@5 62.109 (67.160) Epoch: [16][1010/5809] Time 0.472 (0.349) Data 0.411 (0.275) Loss 2.6819 (2.6016) Prec@1 31.641 (36.632) Prec@5 66.406 (67.151) Epoch: [16][1020/5809] Time 0.132 (0.350) Data 0.001 (0.276) Loss 2.5410 (2.6012) Prec@1 37.891 (36.642) Prec@5 69.922 (67.156) Epoch: [16][1030/5809] Time 6.701 (0.386) Data 6.643 (0.311) Loss 2.6236 (2.6012) Prec@1 34.766 (36.638) Prec@5 66.797 (67.154) Epoch: [16][1040/5809] Time 0.132 (0.415) Data 0.050 (0.340) Loss 2.5034 (2.6008) Prec@1 38.281 (36.642) Prec@5 71.484 (67.160) Epoch: [16][1050/5809] Time 5.891 (0.455) Data 5.832 (0.380) Loss 2.6231 (2.6006) Prec@1 35.938 (36.643) Prec@5 64.844 (67.162) Epoch: [16][1060/5809] Time 0.232 (0.482) Data 0.173 (0.407) Loss 2.7985 (2.6008) Prec@1 33.203 (36.635) Prec@5 64.453 (67.161) Epoch: [16][1070/5809] Time 6.366 (0.513) Data 6.304 (0.439) Loss 2.6510 (2.6015) Prec@1 35.156 (36.615) Prec@5 63.672 (67.144) Epoch: [16][1080/5809] Time 1.045 (0.543) Data 0.986 (0.469) Loss 2.5281 (2.6020) Prec@1 42.578 (36.611) Prec@5 67.188 (67.130) Epoch: [16][1090/5809] Time 5.784 (0.574) Data 5.725 (0.500) Loss 2.3839 (2.6018) Prec@1 36.719 (36.601) Prec@5 68.750 (67.133) Epoch: [16][1100/5809] Time 0.134 (0.601) Data 0.001 (0.527) Loss 2.6788 (2.6018) Prec@1 35.156 (36.603) Prec@5 64.453 (67.118) Epoch: [16][1110/5809] Time 8.367 (0.637) Data 8.307 (0.563) Loss 2.7184 (2.6016) Prec@1 36.328 (36.601) Prec@5 66.016 (67.120) Epoch: [16][1120/5809] Time 0.249 (0.661) Data 0.190 (0.587) Loss 2.6857 (2.6015) Prec@1 36.719 (36.589) Prec@5 66.016 (67.118) Epoch: [16][1130/5809] Time 3.612 (0.691) Data 3.550 (0.617) Loss 2.5732 (2.6021) Prec@1 37.891 (36.580) Prec@5 67.969 (67.108) Epoch: [16][1140/5809] Time 0.213 (0.716) Data 0.155 (0.643) Loss 2.8203 (2.6024) Prec@1 32.031 (36.578) Prec@5 62.891 (67.097) Epoch: [16][1150/5809] Time 6.275 (0.748) Data 6.216 (0.674) Loss 2.5659 (2.6020) Prec@1 39.062 (36.582) Prec@5 64.844 (67.093) Epoch: [16][1160/5809] Time 0.623 (0.780) Data 0.565 (0.707) Loss 2.6515 (2.6018) Prec@1 39.062 (36.579) Prec@5 63.281 (67.092) Epoch: [16][1170/5809] Time 3.561 (0.817) Data 3.501 (0.744) Loss 2.4461 (2.6020) Prec@1 43.359 (36.581) Prec@5 69.922 (67.088) Epoch: [16][1180/5809] Time 1.227 (0.847) Data 1.169 (0.774) Loss 2.7831 (2.6023) Prec@1 32.031 (36.573) Prec@5 63.672 (67.086) Epoch: [16][1190/5809] Time 4.739 (0.882) Data 4.680 (0.810) Loss 2.5378 (2.6020) Prec@1 36.328 (36.574) Prec@5 65.234 (67.090) Epoch: [16][1200/5809] Time 0.685 (0.906) Data 0.627 (0.833) Loss 2.6239 (2.6015) Prec@1 38.672 (36.591) Prec@5 66.797 (67.094) Epoch: [16][1210/5809] Time 2.403 (0.941) Data 2.344 (0.869) Loss 2.4841 (2.6016) Prec@1 35.938 (36.585) Prec@5 69.922 (67.101) Epoch: [16][1220/5809] Time 4.362 (0.974) Data 4.303 (0.902) Loss 2.8743 (2.6015) Prec@1 34.766 (36.590) Prec@5 57.812 (67.102) Epoch: [16][1230/5809] Time 2.157 (1.006) Data 2.098 (0.933) Loss 2.6459 (2.6018) Prec@1 37.500 (36.583) Prec@5 64.453 (67.098) Epoch: [16][1240/5809] Time 2.294 (1.041) Data 2.234 (0.969) Loss 2.7276 (2.6020) Prec@1 36.719 (36.592) Prec@5 60.938 (67.091) Epoch: [16][1250/5809] Time 0.482 (1.067) Data 0.422 (0.995) Loss 2.6154 (2.6022) Prec@1 35.547 (36.585) Prec@5 69.922 (67.088) Epoch: [16][1260/5809] Time 5.049 (1.101) Data 4.990 (1.029) Loss 2.7530 (2.6026) Prec@1 32.812 (36.581) Prec@5 65.625 (67.084) Epoch: [16][1270/5809] Time 0.145 (1.131) Data 0.085 (1.059) Loss 2.7946 (2.6026) Prec@1 34.375 (36.586) Prec@5 60.547 (67.080) Epoch: [16][1280/5809] Time 3.903 (1.160) Data 3.844 (1.088) Loss 2.6564 (2.6026) Prec@1 33.203 (36.587) Prec@5 62.500 (67.079) Epoch: [16][1290/5809] Time 0.735 (1.192) Data 0.676 (1.120) Loss 2.8198 (2.6033) Prec@1 30.859 (36.570) Prec@5 61.719 (67.063) Epoch: [16][1300/5809] Time 4.922 (1.223) Data 4.863 (1.152) Loss 2.5536 (2.6034) Prec@1 39.844 (36.573) Prec@5 64.844 (67.068) Epoch: [16][1310/5809] Time 0.251 (1.250) Data 0.191 (1.178) Loss 2.6076 (2.6035) Prec@1 35.547 (36.569) Prec@5 65.625 (67.069) Epoch: [16][1320/5809] Time 7.418 (1.281) Data 7.359 (1.209) Loss 2.8718 (2.6038) Prec@1 32.422 (36.562) Prec@5 61.719 (67.066) Epoch: [16][1330/5809] Time 0.544 (1.308) Data 0.484 (1.236) Loss 2.5663 (2.6043) Prec@1 36.719 (36.557) Prec@5 66.406 (67.057) Epoch: [16][1340/5809] Time 5.056 (1.336) Data 4.997 (1.265) Loss 2.7298 (2.6044) Prec@1 37.500 (36.555) Prec@5 64.062 (67.054) Epoch: [16][1350/5809] Time 0.132 (1.366) Data 0.001 (1.295) Loss 2.6590 (2.6042) Prec@1 33.203 (36.550) Prec@5 65.234 (67.056) Epoch: [16][1360/5809] Time 7.484 (1.396) Data 7.426 (1.324) Loss 2.7365 (2.6044) Prec@1 30.469 (36.555) Prec@5 64.062 (67.051) Epoch: [16][1370/5809] Time 1.555 (1.424) Data 1.496 (1.352) Loss 2.3886 (2.6044) Prec@1 44.531 (36.560) Prec@5 69.531 (67.043) Epoch: [16][1380/5809] Time 0.292 (1.418) Data 0.233 (1.347) Loss 2.6849 (2.6046) Prec@1 33.203 (36.557) Prec@5 66.797 (67.037) Epoch: [16][1390/5809] Time 0.133 (1.411) Data 0.050 (1.339) Loss 2.5090 (2.6048) Prec@1 37.500 (36.546) Prec@5 66.016 (67.034) Epoch: [16][1400/5809] Time 0.198 (1.406) Data 0.139 (1.334) Loss 2.7816 (2.6049) Prec@1 31.641 (36.543) Prec@5 64.453 (67.027) Epoch: [16][1410/5809] Time 0.200 (1.398) Data 0.142 (1.327) Loss 2.6531 (2.6049) Prec@1 37.109 (36.537) Prec@5 63.672 (67.030) Epoch: [16][1420/5809] Time 0.156 (1.391) Data 0.098 (1.320) Loss 2.8203 (2.6049) Prec@1 35.547 (36.538) Prec@5 62.891 (67.031) Epoch: [16][1430/5809] Time 0.274 (1.385) Data 0.215 (1.313) Loss 2.6161 (2.6049) Prec@1 39.062 (36.535) Prec@5 66.016 (67.036) Epoch: [16][1440/5809] Time 0.132 (1.378) Data 0.042 (1.306) Loss 2.6345 (2.6048) Prec@1 28.516 (36.525) Prec@5 66.406 (67.034) Epoch: [16][1450/5809] Time 0.179 (1.370) Data 0.120 (1.299) Loss 2.6013 (2.6052) Prec@1 36.328 (36.514) Prec@5 66.797 (67.022) Epoch: [16][1460/5809] Time 0.182 (1.363) Data 0.123 (1.292) Loss 2.6514 (2.6053) Prec@1 38.672 (36.516) Prec@5 66.016 (67.016) Epoch: [16][1470/5809] Time 0.181 (1.363) Data 0.122 (1.292) Loss 2.6154 (2.6051) Prec@1 38.672 (36.515) Prec@5 66.406 (67.017) Epoch: [16][1480/5809] Time 0.127 (1.356) Data 0.041 (1.285) Loss 2.6944 (2.6053) Prec@1 35.156 (36.510) Prec@5 64.062 (67.015) Epoch: [16][1490/5809] Time 0.148 (1.349) Data 0.089 (1.278) Loss 2.4357 (2.6053) Prec@1 39.062 (36.514) Prec@5 69.531 (67.013) Epoch: [16][1500/5809] Time 0.192 (1.343) Data 0.134 (1.272) Loss 2.4660 (2.6057) Prec@1 38.281 (36.504) Prec@5 72.656 (67.009) Epoch: [16][1510/5809] Time 0.136 (1.336) Data 0.038 (1.265) Loss 2.6238 (2.6055) Prec@1 37.500 (36.503) Prec@5 64.062 (67.009) Epoch: [16][1520/5809] Time 0.190 (1.330) Data 0.130 (1.258) Loss 2.5346 (2.6053) Prec@1 34.766 (36.503) Prec@5 67.188 (67.015) Epoch: [16][1530/5809] Time 0.152 (1.329) Data 0.093 (1.258) Loss 2.5313 (2.6057) Prec@1 42.578 (36.494) Prec@5 69.141 (67.011) Epoch: [16][1540/5809] Time 0.496 (1.323) Data 0.437 (1.252) Loss 2.5893 (2.6055) Prec@1 34.766 (36.496) Prec@5 67.578 (67.013) Epoch: [16][1550/5809] Time 0.186 (1.317) Data 0.128 (1.246) Loss 2.6071 (2.6053) Prec@1 39.844 (36.505) Prec@5 64.062 (67.018) Epoch: [16][1560/5809] Time 0.265 (1.311) Data 0.206 (1.240) Loss 2.4318 (2.6052) Prec@1 41.406 (36.517) Prec@5 70.703 (67.013) Epoch: [16][1570/5809] Time 0.132 (1.305) Data 0.040 (1.234) Loss 2.5559 (2.6049) Prec@1 37.891 (36.527) Prec@5 67.969 (67.018) Epoch: [16][1580/5809] Time 0.351 (1.299) Data 0.290 (1.228) Loss 2.6318 (2.6046) Prec@1 34.766 (36.529) Prec@5 65.625 (67.021) Epoch: [16][1590/5809] Time 0.219 (1.293) Data 0.159 (1.222) Loss 2.5069 (2.6046) Prec@1 39.453 (36.532) Prec@5 70.703 (67.024) Epoch: [16][1600/5809] Time 0.170 (1.287) Data 0.109 (1.216) Loss 2.6123 (2.6044) Prec@1 33.984 (36.529) Prec@5 68.359 (67.030) Epoch: [16][1610/5809] Time 0.155 (1.281) Data 0.094 (1.210) Loss 2.6002 (2.6046) Prec@1 36.328 (36.526) Prec@5 67.969 (67.031) Epoch: [16][1620/5809] Time 0.164 (1.279) Data 0.104 (1.208) Loss 2.7509 (2.6047) Prec@1 34.375 (36.522) Prec@5 63.281 (67.027) Epoch: [16][1630/5809] Time 0.368 (1.273) Data 0.307 (1.203) Loss 2.5980 (2.6048) Prec@1 35.547 (36.521) Prec@5 69.922 (67.021) Epoch: [16][1640/5809] Time 0.262 (1.268) Data 0.201 (1.197) Loss 2.7606 (2.6047) Prec@1 32.812 (36.521) Prec@5 64.062 (67.027) Epoch: [16][1650/5809] Time 0.212 (1.262) Data 0.154 (1.192) Loss 2.6596 (2.6049) Prec@1 34.766 (36.517) Prec@5 66.016 (67.018) Epoch: [16][1660/5809] Time 0.126 (1.260) Data 0.065 (1.190) Loss 2.5235 (2.6051) Prec@1 36.719 (36.513) Prec@5 71.484 (67.016) Epoch: [16][1670/5809] Time 0.134 (1.255) Data 0.001 (1.184) Loss 2.4879 (2.6048) Prec@1 37.891 (36.520) Prec@5 68.750 (67.022) Epoch: [16][1680/5809] Time 0.136 (1.250) Data 0.001 (1.179) Loss 2.6202 (2.6044) Prec@1 36.719 (36.533) Prec@5 63.281 (67.019) Epoch: [16][1690/5809] Time 0.298 (1.244) Data 0.238 (1.174) Loss 2.6187 (2.6047) Prec@1 36.719 (36.526) Prec@5 66.797 (67.012) Epoch: [16][1700/5809] Time 0.174 (1.239) Data 0.114 (1.168) Loss 2.5357 (2.6045) Prec@1 37.109 (36.530) Prec@5 67.188 (67.012) Epoch: [16][1710/5809] Time 0.264 (1.237) Data 0.204 (1.167) Loss 2.4618 (2.6045) Prec@1 37.891 (36.530) Prec@5 68.750 (67.011) Epoch: [16][1720/5809] Time 0.233 (1.232) Data 0.171 (1.162) Loss 2.5819 (2.6046) Prec@1 34.375 (36.528) Prec@5 66.797 (67.005) Epoch: [16][1730/5809] Time 0.126 (1.227) Data 0.041 (1.157) Loss 2.6907 (2.6046) Prec@1 34.766 (36.528) Prec@5 68.359 (67.006) Epoch: [16][1740/5809] Time 0.343 (1.222) Data 0.285 (1.152) Loss 2.5412 (2.6048) Prec@1 41.406 (36.536) Prec@5 68.359 (67.003) Epoch: [16][1750/5809] Time 0.183 (1.217) Data 0.123 (1.147) Loss 2.6075 (2.6052) Prec@1 42.578 (36.538) Prec@5 68.750 (66.999) Epoch: [16][1760/5809] Time 0.225 (1.212) Data 0.165 (1.142) Loss 2.7057 (2.6051) Prec@1 35.547 (36.541) Prec@5 64.453 (66.998) Epoch: [16][1770/5809] Time 0.133 (1.211) Data 0.001 (1.140) Loss 2.4430 (2.6051) Prec@1 38.672 (36.539) Prec@5 69.531 (67.000) Epoch: [16][1780/5809] Time 0.418 (1.206) Data 0.359 (1.135) Loss 2.7616 (2.6051) Prec@1 37.500 (36.541) Prec@5 64.062 (67.001) Epoch: [16][1790/5809] Time 0.139 (1.201) Data 0.048 (1.131) Loss 2.5621 (2.6054) Prec@1 37.891 (36.536) Prec@5 69.531 (66.996) Epoch: [16][1800/5809] Time 0.470 (1.196) Data 0.408 (1.126) Loss 2.7050 (2.6055) Prec@1 32.031 (36.534) Prec@5 62.109 (66.996) Epoch: [16][1810/5809] Time 0.310 (1.192) Data 0.251 (1.122) Loss 2.7018 (2.6056) Prec@1 36.719 (36.536) Prec@5 66.016 (66.990) Epoch: [16][1820/5809] Time 0.355 (1.187) Data 0.295 (1.117) Loss 2.5379 (2.6055) Prec@1 33.984 (36.534) Prec@5 67.188 (66.992) Epoch: [16][1830/5809] Time 0.190 (1.183) Data 0.130 (1.112) Loss 2.6517 (2.6058) Prec@1 37.891 (36.530) Prec@5 67.188 (66.987) Epoch: [16][1840/5809] Time 0.353 (1.181) Data 0.294 (1.111) Loss 2.4992 (2.6058) Prec@1 37.109 (36.524) Prec@5 68.750 (66.988) Epoch: [16][1850/5809] Time 0.133 (1.177) Data 0.001 (1.107) Loss 2.6516 (2.6060) Prec@1 34.375 (36.521) Prec@5 67.188 (66.985) Epoch: [16][1860/5809] Time 0.270 (1.172) Data 0.210 (1.102) Loss 2.5537 (2.6059) Prec@1 37.109 (36.527) Prec@5 66.797 (66.986) Epoch: [16][1870/5809] Time 0.133 (1.168) Data 0.060 (1.098) Loss 2.6081 (2.6057) Prec@1 36.328 (36.530) Prec@5 69.922 (66.990) Epoch: [16][1880/5809] Time 0.244 (1.164) Data 0.185 (1.093) Loss 2.5247 (2.6057) Prec@1 36.328 (36.529) Prec@5 71.875 (66.997) Epoch: [16][1890/5809] Time 0.133 (1.162) Data 0.007 (1.092) Loss 2.7318 (2.6056) Prec@1 29.297 (36.530) Prec@5 64.062 (66.994) Epoch: [16][1900/5809] Time 0.223 (1.158) Data 0.163 (1.088) Loss 2.4564 (2.6055) Prec@1 38.672 (36.532) Prec@5 73.047 (66.999) Epoch: [16][1910/5809] Time 0.138 (1.154) Data 0.077 (1.084) Loss 2.6320 (2.6055) Prec@1 39.062 (36.531) Prec@5 67.578 (66.997) Epoch: [16][1920/5809] Time 0.134 (1.150) Data 0.052 (1.079) Loss 2.5659 (2.6056) Prec@1 37.109 (36.531) Prec@5 69.531 (67.001) Epoch: [16][1930/5809] Time 0.134 (1.146) Data 0.019 (1.075) Loss 2.4250 (2.6055) Prec@1 38.281 (36.530) Prec@5 69.922 (67.000) Epoch: [16][1940/5809] Time 0.310 (1.142) Data 0.250 (1.071) Loss 2.5597 (2.6054) Prec@1 34.766 (36.532) Prec@5 66.016 (66.995) Epoch: [16][1950/5809] Time 0.133 (1.138) Data 0.063 (1.067) Loss 2.6338 (2.6056) Prec@1 34.375 (36.530) Prec@5 69.531 (66.993) Epoch: [16][1960/5809] Time 0.133 (1.137) Data 0.066 (1.066) Loss 2.6210 (2.6056) Prec@1 39.453 (36.531) Prec@5 65.234 (66.994) Epoch: [16][1970/5809] Time 0.317 (1.133) Data 0.258 (1.062) Loss 2.3556 (2.6053) Prec@1 40.234 (36.540) Prec@5 70.312 (67.003) Epoch: [16][1980/5809] Time 0.133 (1.129) Data 0.010 (1.058) Loss 2.5228 (2.6053) Prec@1 33.984 (36.539) Prec@5 67.578 (66.995) Epoch: [16][1990/5809] Time 0.601 (1.125) Data 0.539 (1.054) Loss 2.7321 (2.6052) Prec@1 35.156 (36.539) Prec@5 62.891 (67.000) Epoch: [16][2000/5809] Time 0.133 (1.121) Data 0.001 (1.050) Loss 2.5337 (2.6055) Prec@1 40.625 (36.531) Prec@5 71.094 (66.995) Epoch: [16][2010/5809] Time 0.461 (1.120) Data 0.400 (1.049) Loss 2.6755 (2.6057) Prec@1 34.375 (36.526) Prec@5 65.625 (66.992) Epoch: [16][2020/5809] Time 0.133 (1.117) Data 0.001 (1.046) Loss 2.7181 (2.6055) Prec@1 38.281 (36.527) Prec@5 63.672 (66.993) Epoch: [16][2030/5809] Time 0.472 (1.113) Data 0.411 (1.042) Loss 2.5780 (2.6054) Prec@1 34.766 (36.529) Prec@5 67.578 (66.997) Epoch: [16][2040/5809] Time 0.126 (1.109) Data 0.063 (1.038) Loss 2.6289 (2.6052) Prec@1 34.766 (36.532) Prec@5 66.797 (66.999) Epoch: [16][2050/5809] Time 0.378 (1.106) Data 0.317 (1.035) Loss 2.5103 (2.6051) Prec@1 39.453 (36.535) Prec@5 68.750 (67.000) Epoch: [16][2060/5809] Time 0.195 (1.102) Data 0.134 (1.031) Loss 2.7888 (2.6050) Prec@1 32.031 (36.533) Prec@5 62.500 (67.004) Epoch: [16][2070/5809] Time 0.220 (1.101) Data 0.160 (1.030) Loss 2.4616 (2.6053) Prec@1 43.750 (36.526) Prec@5 69.531 (66.996) Epoch: [16][2080/5809] Time 0.427 (1.098) Data 0.366 (1.027) Loss 2.6751 (2.6054) Prec@1 36.719 (36.519) Prec@5 63.672 (66.994) Epoch: [16][2090/5809] Time 0.164 (1.094) Data 0.103 (1.023) Loss 2.8612 (2.6058) Prec@1 31.250 (36.514) Prec@5 61.719 (66.982) Epoch: [16][2100/5809] Time 0.406 (1.091) Data 0.346 (1.020) Loss 2.5546 (2.6059) Prec@1 37.500 (36.517) Prec@5 68.750 (66.983) Epoch: [16][2110/5809] Time 0.134 (1.090) Data 0.011 (1.019) Loss 2.6239 (2.6060) Prec@1 35.938 (36.513) Prec@5 66.016 (66.979) Epoch: [16][2120/5809] Time 0.325 (1.086) Data 0.264 (1.016) Loss 2.4659 (2.6058) Prec@1 39.062 (36.519) Prec@5 65.234 (66.977) Epoch: [16][2130/5809] Time 0.263 (1.083) Data 0.204 (1.012) Loss 2.5947 (2.6059) Prec@1 37.891 (36.517) Prec@5 66.797 (66.973) Epoch: [16][2140/5809] Time 0.292 (1.080) Data 0.230 (1.009) Loss 2.7289 (2.6060) Prec@1 30.859 (36.513) Prec@5 64.453 (66.974) Epoch: [16][2150/5809] Time 0.215 (1.076) Data 0.155 (1.005) Loss 2.6061 (2.6062) Prec@1 38.281 (36.510) Prec@5 67.969 (66.970) Epoch: [16][2160/5809] Time 0.288 (1.073) Data 0.228 (1.002) Loss 2.6460 (2.6063) Prec@1 34.375 (36.509) Prec@5 64.453 (66.969) Epoch: [16][2170/5809] Time 0.292 (1.069) Data 0.233 (0.999) Loss 2.4281 (2.6066) Prec@1 40.625 (36.505) Prec@5 71.875 (66.964) Epoch: [16][2180/5809] Time 0.596 (1.069) Data 0.537 (0.998) Loss 2.7655 (2.6068) Prec@1 35.547 (36.505) Prec@5 64.062 (66.958) Epoch: [16][2190/5809] Time 0.311 (1.066) Data 0.253 (0.995) Loss 2.6947 (2.6069) Prec@1 34.375 (36.498) Prec@5 67.969 (66.954) Epoch: [16][2200/5809] Time 0.568 (1.062) Data 0.510 (0.992) Loss 2.6668 (2.6071) Prec@1 34.766 (36.494) Prec@5 66.406 (66.949) Epoch: [16][2210/5809] Time 0.454 (1.059) Data 0.392 (0.989) Loss 2.5620 (2.6071) Prec@1 39.062 (36.495) Prec@5 66.406 (66.948) Epoch: [16][2220/5809] Time 0.508 (1.056) Data 0.450 (0.986) Loss 2.5448 (2.6069) Prec@1 39.062 (36.501) Prec@5 67.969 (66.952) Epoch: [16][2230/5809] Time 0.330 (1.055) Data 0.269 (0.985) Loss 2.8079 (2.6069) Prec@1 35.547 (36.508) Prec@5 60.547 (66.955) Epoch: [16][2240/5809] Time 0.604 (1.052) Data 0.545 (0.982) Loss 2.6180 (2.6069) Prec@1 40.234 (36.516) Prec@5 66.016 (66.957) Epoch: [16][2250/5809] Time 0.249 (1.049) Data 0.188 (0.979) Loss 2.5087 (2.6071) Prec@1 37.891 (36.513) Prec@5 71.094 (66.949) Epoch: [16][2260/5809] Time 0.477 (1.046) Data 0.417 (0.976) Loss 2.6182 (2.6076) Prec@1 35.547 (36.505) Prec@5 64.062 (66.936) Epoch: [16][2270/5809] Time 0.133 (1.046) Data 0.069 (0.975) Loss 2.6389 (2.6076) Prec@1 36.328 (36.504) Prec@5 65.234 (66.934) Epoch: [16][2280/5809] Time 0.384 (1.043) Data 0.323 (0.973) Loss 2.6306 (2.6077) Prec@1 36.328 (36.505) Prec@5 66.797 (66.935) Epoch: [16][2290/5809] Time 0.133 (1.040) Data 0.058 (0.970) Loss 2.8544 (2.6079) Prec@1 31.250 (36.495) Prec@5 63.672 (66.936) Epoch: [16][2300/5809] Time 0.347 (1.037) Data 0.286 (0.967) Loss 2.6198 (2.6081) Prec@1 36.719 (36.492) Prec@5 62.891 (66.927) Epoch: [16][2310/5809] Time 0.195 (1.034) Data 0.135 (0.964) Loss 2.5525 (2.6080) Prec@1 35.938 (36.487) Prec@5 64.844 (66.926) Epoch: [16][2320/5809] Time 0.478 (1.031) Data 0.418 (0.961) Loss 2.6190 (2.6080) Prec@1 35.547 (36.489) Prec@5 67.969 (66.929) Epoch: [16][2330/5809] Time 0.315 (1.028) Data 0.256 (0.958) Loss 2.5108 (2.6081) Prec@1 40.625 (36.485) Prec@5 71.484 (66.927) Epoch: [16][2340/5809] Time 0.884 (1.028) Data 0.816 (0.958) Loss 2.7099 (2.6082) Prec@1 32.812 (36.485) Prec@5 63.281 (66.924) Epoch: [16][2350/5809] Time 0.234 (1.025) Data 0.174 (0.955) Loss 2.6547 (2.6085) Prec@1 35.547 (36.483) Prec@5 66.016 (66.917) Epoch: [16][2360/5809] Time 0.929 (1.022) Data 0.868 (0.952) Loss 2.6694 (2.6086) Prec@1 35.547 (36.484) Prec@5 66.016 (66.917) Epoch: [16][2370/5809] Time 0.142 (1.019) Data 0.001 (0.949) Loss 2.5598 (2.6087) Prec@1 40.234 (36.484) Prec@5 68.750 (66.912) Epoch: [16][2380/5809] Time 0.928 (1.017) Data 0.869 (0.946) Loss 2.5040 (2.6089) Prec@1 39.062 (36.482) Prec@5 70.312 (66.911) Epoch: [16][2390/5809] Time 0.136 (1.016) Data 0.001 (0.946) Loss 2.6194 (2.6090) Prec@1 40.625 (36.482) Prec@5 67.188 (66.910) Epoch: [16][2400/5809] Time 1.011 (1.014) Data 0.947 (0.943) Loss 2.6084 (2.6091) Prec@1 38.672 (36.482) Prec@5 66.016 (66.905) Epoch: [16][2410/5809] Time 0.153 (1.011) Data 0.094 (0.940) Loss 2.5591 (2.6090) Prec@1 38.281 (36.480) Prec@5 67.188 (66.908) Epoch: [16][2420/5809] Time 0.967 (1.008) Data 0.900 (0.938) Loss 2.6515 (2.6090) Prec@1 35.547 (36.483) Prec@5 61.719 (66.905) Epoch: [16][2430/5809] Time 0.132 (1.005) Data 0.065 (0.935) Loss 2.6243 (2.6093) Prec@1 38.281 (36.481) Prec@5 66.016 (66.898) Epoch: [16][2440/5809] Time 0.984 (1.003) Data 0.923 (0.932) Loss 2.6038 (2.6094) Prec@1 38.672 (36.479) Prec@5 68.750 (66.897) Epoch: [16][2450/5809] Time 0.133 (1.003) Data 0.001 (0.932) Loss 2.4247 (2.6091) Prec@1 36.328 (36.484) Prec@5 73.828 (66.904) Epoch: [16][2460/5809] Time 0.890 (1.000) Data 0.829 (0.929) Loss 2.6060 (2.6090) Prec@1 35.547 (36.484) Prec@5 67.969 (66.907) Epoch: [16][2470/5809] Time 0.143 (0.997) Data 0.001 (0.926) Loss 2.5982 (2.6092) Prec@1 36.328 (36.483) Prec@5 68.359 (66.906) Epoch: [16][2480/5809] Time 0.908 (0.995) Data 0.849 (0.924) Loss 2.9087 (2.6094) Prec@1 31.250 (36.480) Prec@5 62.500 (66.899) Epoch: [16][2490/5809] Time 0.143 (0.992) Data 0.001 (0.921) Loss 2.6224 (2.6096) Prec@1 37.500 (36.476) Prec@5 67.188 (66.894) Epoch: [16][2500/5809] Time 0.935 (0.992) Data 0.874 (0.921) Loss 2.6343 (2.6094) Prec@1 34.766 (36.485) Prec@5 66.016 (66.899) Epoch: [16][2510/5809] Time 0.132 (0.989) Data 0.056 (0.918) Loss 2.5747 (2.6094) Prec@1 33.594 (36.482) Prec@5 69.531 (66.900) Epoch: [16][2520/5809] Time 1.002 (0.987) Data 0.943 (0.916) Loss 2.5899 (2.6094) Prec@1 37.500 (36.478) Prec@5 64.844 (66.896) Epoch: [16][2530/5809] Time 0.134 (0.984) Data 0.001 (0.913) Loss 2.6235 (2.6095) Prec@1 38.672 (36.478) Prec@5 67.188 (66.895) Epoch: [16][2540/5809] Time 0.849 (0.982) Data 0.788 (0.911) Loss 2.8314 (2.6098) Prec@1 29.688 (36.473) Prec@5 62.891 (66.886) Epoch: [16][2550/5809] Time 0.743 (0.980) Data 0.683 (0.909) Loss 2.7026 (2.6098) Prec@1 33.984 (36.477) Prec@5 66.406 (66.893) Epoch: [16][2560/5809] Time 1.091 (0.980) Data 1.025 (0.909) Loss 2.7322 (2.6099) Prec@1 30.859 (36.476) Prec@5 66.797 (66.888) Epoch: [16][2570/5809] Time 0.140 (0.977) Data 0.042 (0.906) Loss 2.5764 (2.6099) Prec@1 37.891 (36.476) Prec@5 66.797 (66.884) Epoch: [16][2580/5809] Time 1.039 (0.975) Data 0.973 (0.904) Loss 2.6290 (2.6097) Prec@1 38.672 (36.477) Prec@5 64.062 (66.885) Epoch: [16][2590/5809] Time 0.142 (0.972) Data 0.001 (0.901) Loss 2.5598 (2.6098) Prec@1 37.500 (36.476) Prec@5 71.875 (66.884) Epoch: [16][2600/5809] Time 0.847 (0.970) Data 0.787 (0.899) Loss 2.8982 (2.6099) Prec@1 32.812 (36.472) Prec@5 63.281 (66.885) Epoch: [16][2610/5809] Time 0.128 (0.970) Data 0.060 (0.899) Loss 2.7238 (2.6102) Prec@1 32.422 (36.464) Prec@5 63.281 (66.878) Epoch: [16][2620/5809] Time 0.718 (0.968) Data 0.657 (0.897) Loss 2.5862 (2.6101) Prec@1 35.156 (36.465) Prec@5 67.578 (66.879) Epoch: [16][2630/5809] Time 0.177 (0.965) Data 0.117 (0.894) Loss 2.6593 (2.6103) Prec@1 35.547 (36.467) Prec@5 63.672 (66.879) Epoch: [16][2640/5809] Time 0.498 (0.963) Data 0.438 (0.892) Loss 2.6762 (2.6105) Prec@1 35.156 (36.466) Prec@5 64.453 (66.871) Epoch: [16][2650/5809] Time 0.138 (0.961) Data 0.076 (0.890) Loss 2.8356 (2.6109) Prec@1 31.641 (36.460) Prec@5 62.500 (66.862) Epoch: [16][2660/5809] Time 0.488 (0.961) Data 0.422 (0.890) Loss 2.5134 (2.6110) Prec@1 39.453 (36.459) Prec@5 65.625 (66.859) Epoch: [16][2670/5809] Time 0.132 (0.958) Data 0.041 (0.887) Loss 2.7379 (2.6112) Prec@1 33.984 (36.456) Prec@5 64.062 (66.856) Epoch: [16][2680/5809] Time 0.367 (0.956) Data 0.307 (0.885) Loss 2.7173 (2.6113) Prec@1 31.250 (36.453) Prec@5 65.625 (66.854) Epoch: [16][2690/5809] Time 0.133 (0.954) Data 0.013 (0.883) Loss 2.6907 (2.6115) Prec@1 33.984 (36.449) Prec@5 66.016 (66.851) Epoch: [16][2700/5809] Time 0.404 (0.952) Data 0.343 (0.881) Loss 2.5933 (2.6115) Prec@1 37.109 (36.451) Prec@5 65.625 (66.848) Epoch: [16][2710/5809] Time 2.217 (0.951) Data 2.159 (0.879) Loss 2.4981 (2.6116) Prec@1 36.719 (36.450) Prec@5 68.750 (66.844) Epoch: [16][2720/5809] Time 0.314 (0.950) Data 0.255 (0.879) Loss 2.4995 (2.6117) Prec@1 37.109 (36.448) Prec@5 68.359 (66.843) Epoch: [16][2730/5809] Time 0.134 (0.948) Data 0.001 (0.876) Loss 2.6580 (2.6116) Prec@1 35.156 (36.447) Prec@5 68.359 (66.845) Epoch: [16][2740/5809] Time 0.133 (0.946) Data 0.067 (0.874) Loss 2.7780 (2.6120) Prec@1 33.984 (36.442) Prec@5 64.844 (66.840) Epoch: [16][2750/5809] Time 0.193 (0.943) Data 0.132 (0.872) Loss 2.6048 (2.6119) Prec@1 36.719 (36.439) Prec@5 63.281 (66.841) Epoch: [16][2760/5809] Time 0.412 (0.941) Data 0.353 (0.870) Loss 2.5582 (2.6119) Prec@1 35.938 (36.433) Prec@5 66.797 (66.837) Epoch: [16][2770/5809] Time 0.134 (0.941) Data 0.001 (0.870) Loss 2.5541 (2.6120) Prec@1 36.328 (36.433) Prec@5 70.312 (66.835) Epoch: [16][2780/5809] Time 0.524 (0.939) Data 0.465 (0.868) Loss 2.5786 (2.6121) Prec@1 34.375 (36.429) Prec@5 67.188 (66.833) Epoch: [16][2790/5809] Time 0.132 (0.937) Data 0.001 (0.866) Loss 2.5287 (2.6119) Prec@1 33.984 (36.434) Prec@5 67.188 (66.838) Epoch: [16][2800/5809] Time 0.687 (0.935) Data 0.629 (0.864) Loss 2.5842 (2.6121) Prec@1 36.328 (36.427) Prec@5 63.672 (66.831) Epoch: [16][2810/5809] Time 0.133 (0.933) Data 0.001 (0.861) Loss 2.4314 (2.6119) Prec@1 37.500 (36.431) Prec@5 71.094 (66.831) Epoch: [16][2820/5809] Time 0.656 (0.933) Data 0.596 (0.862) Loss 2.5178 (2.6120) Prec@1 39.453 (36.430) Prec@5 66.016 (66.828) Epoch: [16][2830/5809] Time 0.240 (0.931) Data 0.177 (0.859) Loss 2.8363 (2.6121) Prec@1 34.766 (36.430) Prec@5 61.328 (66.823) Epoch: [16][2840/5809] Time 0.339 (0.929) Data 0.277 (0.858) Loss 2.7423 (2.6125) Prec@1 34.766 (36.422) Prec@5 66.016 (66.817) Epoch: [16][2850/5809] Time 0.125 (0.927) Data 0.045 (0.855) Loss 2.5723 (2.6122) Prec@1 38.672 (36.429) Prec@5 69.922 (66.822) Epoch: [16][2860/5809] Time 0.422 (0.925) Data 0.363 (0.854) Loss 2.5152 (2.6125) Prec@1 35.156 (36.425) Prec@5 67.969 (66.820) Epoch: [16][2870/5809] Time 0.131 (0.923) Data 0.060 (0.852) Loss 2.7046 (2.6128) Prec@1 32.422 (36.417) Prec@5 67.969 (66.817) Epoch: [16][2880/5809] Time 0.470 (0.922) Data 0.411 (0.850) Loss 2.7004 (2.6128) Prec@1 31.641 (36.412) Prec@5 66.016 (66.814) Epoch: [16][2890/5809] Time 0.300 (0.922) Data 0.241 (0.850) Loss 2.8219 (2.6132) Prec@1 35.547 (36.403) Prec@5 61.328 (66.802) Epoch: [16][2900/5809] Time 0.141 (0.920) Data 0.001 (0.848) Loss 2.4846 (2.6133) Prec@1 37.500 (36.398) Prec@5 68.750 (66.801) Epoch: [16][2910/5809] Time 0.587 (0.918) Data 0.528 (0.846) Loss 2.7353 (2.6134) Prec@1 33.203 (36.397) Prec@5 62.891 (66.804) Epoch: [16][2920/5809] Time 0.136 (0.916) Data 0.001 (0.844) Loss 2.6719 (2.6134) Prec@1 34.375 (36.395) Prec@5 62.500 (66.801) Epoch: [16][2930/5809] Time 0.500 (0.914) Data 0.441 (0.842) Loss 2.6426 (2.6131) Prec@1 38.672 (36.402) Prec@5 66.406 (66.806) Epoch: [16][2940/5809] Time 0.383 (0.914) Data 0.324 (0.842) Loss 2.5194 (2.6129) Prec@1 39.062 (36.405) Prec@5 67.969 (66.807) Epoch: [16][2950/5809] Time 0.404 (0.912) Data 0.343 (0.840) Loss 2.4641 (2.6127) Prec@1 36.328 (36.409) Prec@5 70.703 (66.812) Epoch: [16][2960/5809] Time 0.538 (0.911) Data 0.478 (0.839) Loss 2.6520 (2.6126) Prec@1 34.766 (36.409) Prec@5 65.234 (66.813) Epoch: [16][2970/5809] Time 0.286 (0.909) Data 0.226 (0.837) Loss 2.5714 (2.6127) Prec@1 38.281 (36.405) Prec@5 65.625 (66.806) Epoch: [16][2980/5809] Time 0.650 (0.907) Data 0.589 (0.835) Loss 2.5815 (2.6127) Prec@1 30.469 (36.397) Prec@5 68.359 (66.804) Epoch: [16][2990/5809] Time 0.134 (0.907) Data 0.001 (0.835) Loss 2.6312 (2.6127) Prec@1 35.547 (36.399) Prec@5 66.797 (66.805) Epoch: [16][3000/5809] Time 0.562 (0.905) Data 0.501 (0.834) Loss 2.6508 (2.6124) Prec@1 38.281 (36.406) Prec@5 66.406 (66.812) Epoch: [16][3010/5809] Time 0.133 (0.904) Data 0.065 (0.832) Loss 2.5789 (2.6122) Prec@1 34.375 (36.411) Prec@5 68.750 (66.818) Epoch: [16][3020/5809] Time 0.319 (0.902) Data 0.259 (0.830) Loss 2.6944 (2.6124) Prec@1 33.984 (36.406) Prec@5 67.188 (66.815) Epoch: [16][3030/5809] Time 0.127 (0.900) Data 0.049 (0.828) Loss 2.5224 (2.6126) Prec@1 37.500 (36.401) Prec@5 68.359 (66.811) Epoch: [16][3040/5809] Time 0.376 (0.900) Data 0.315 (0.828) Loss 2.5445 (2.6125) Prec@1 33.594 (36.400) Prec@5 68.359 (66.815) Epoch: [16][3050/5809] Time 0.127 (0.898) Data 0.041 (0.826) Loss 2.7160 (2.6125) Prec@1 29.297 (36.398) Prec@5 69.922 (66.817) Epoch: [16][3060/5809] Time 0.296 (0.897) Data 0.237 (0.825) Loss 2.7556 (2.6126) Prec@1 35.156 (36.398) Prec@5 60.938 (66.815) Epoch: [16][3070/5809] Time 0.192 (0.895) Data 0.133 (0.823) Loss 2.8606 (2.6126) Prec@1 34.766 (36.397) Prec@5 63.281 (66.817) Epoch: [16][3080/5809] Time 0.452 (0.893) Data 0.385 (0.822) Loss 2.5823 (2.6125) Prec@1 35.938 (36.398) Prec@5 67.969 (66.819) Epoch: [16][3090/5809] Time 0.132 (0.892) Data 0.049 (0.820) Loss 2.4620 (2.6125) Prec@1 40.625 (36.400) Prec@5 70.312 (66.820) Epoch: [16][3100/5809] Time 0.255 (0.892) Data 0.195 (0.820) Loss 2.7433 (2.6125) Prec@1 33.984 (36.402) Prec@5 63.672 (66.819) Epoch: [16][3110/5809] Time 0.133 (0.890) Data 0.001 (0.818) Loss 2.6964 (2.6128) Prec@1 35.547 (36.400) Prec@5 63.281 (66.814) Epoch: [16][3120/5809] Time 0.213 (0.889) Data 0.155 (0.817) Loss 2.3922 (2.6128) Prec@1 37.109 (36.401) Prec@5 73.828 (66.817) Epoch: [16][3130/5809] Time 0.133 (0.887) Data 0.054 (0.815) Loss 2.4366 (2.6126) Prec@1 41.016 (36.405) Prec@5 72.656 (66.825) Epoch: [16][3140/5809] Time 0.134 (0.885) Data 0.073 (0.813) Loss 2.6796 (2.6126) Prec@1 35.938 (36.405) Prec@5 65.234 (66.827) Epoch: [16][3150/5809] Time 0.133 (0.884) Data 0.010 (0.812) Loss 2.3592 (2.6124) Prec@1 41.797 (36.407) Prec@5 71.875 (66.830) Epoch: [16][3160/5809] Time 0.437 (0.884) Data 0.378 (0.812) Loss 2.8877 (2.6125) Prec@1 33.984 (36.402) Prec@5 62.500 (66.826) Epoch: [16][3170/5809] Time 0.126 (0.882) Data 0.065 (0.810) Loss 2.7132 (2.6124) Prec@1 37.500 (36.403) Prec@5 66.406 (66.827) Epoch: [16][3180/5809] Time 0.521 (0.881) Data 0.461 (0.809) Loss 2.6307 (2.6123) Prec@1 35.547 (36.402) Prec@5 69.531 (66.832) Epoch: [16][3190/5809] Time 0.130 (0.879) Data 0.065 (0.807) Loss 2.6544 (2.6124) Prec@1 33.594 (36.400) Prec@5 68.359 (66.833) Epoch: [16][3200/5809] Time 0.287 (0.879) Data 0.226 (0.807) Loss 2.6617 (2.6127) Prec@1 36.719 (36.395) Prec@5 64.062 (66.825) Epoch: [16][3210/5809] Time 0.133 (0.878) Data 0.001 (0.806) Loss 2.6260 (2.6128) Prec@1 34.766 (36.396) Prec@5 68.750 (66.825) Epoch: [16][3220/5809] Time 0.560 (0.876) Data 0.499 (0.804) Loss 2.4911 (2.6130) Prec@1 40.625 (36.393) Prec@5 66.797 (66.819) Epoch: [16][3230/5809] Time 0.295 (0.875) Data 0.235 (0.803) Loss 2.8054 (2.6130) Prec@1 35.547 (36.394) Prec@5 63.672 (66.818) Epoch: [16][3240/5809] Time 0.585 (0.873) Data 0.525 (0.801) Loss 2.7638 (2.6132) Prec@1 35.938 (36.389) Prec@5 63.281 (66.815) Epoch: [16][3250/5809] Time 0.386 (0.873) Data 0.310 (0.801) Loss 2.7168 (2.6133) Prec@1 33.203 (36.385) Prec@5 68.359 (66.813) Epoch: [16][3260/5809] Time 0.794 (0.872) Data 0.733 (0.800) Loss 2.7478 (2.6134) Prec@1 32.422 (36.382) Prec@5 64.453 (66.811) Epoch: [16][3270/5809] Time 0.223 (0.870) Data 0.163 (0.798) Loss 2.7591 (2.6136) Prec@1 33.594 (36.380) Prec@5 65.234 (66.805) Epoch: [16][3280/5809] Time 0.636 (0.869) Data 0.576 (0.797) Loss 2.6707 (2.6137) Prec@1 34.375 (36.376) Prec@5 66.406 (66.803) Epoch: [16][3290/5809] Time 0.187 (0.867) Data 0.128 (0.795) Loss 2.6801 (2.6137) Prec@1 35.156 (36.376) Prec@5 64.453 (66.802) Epoch: [16][3300/5809] Time 2.408 (0.868) Data 2.347 (0.796) Loss 2.6186 (2.6137) Prec@1 37.109 (36.380) Prec@5 64.453 (66.800) Epoch: [16][3310/5809] Time 0.133 (0.866) Data 0.001 (0.794) Loss 2.8336 (2.6136) Prec@1 30.078 (36.379) Prec@5 62.109 (66.803) Epoch: [16][3320/5809] Time 0.896 (0.865) Data 0.836 (0.793) Loss 2.7998 (2.6137) Prec@1 33.203 (36.379) Prec@5 61.719 (66.800) Epoch: [16][3330/5809] Time 0.270 (0.863) Data 0.209 (0.791) Loss 2.9260 (2.6139) Prec@1 32.422 (36.377) Prec@5 60.156 (66.798) Epoch: [16][3340/5809] Time 0.611 (0.862) Data 0.544 (0.790) Loss 2.7626 (2.6139) Prec@1 32.812 (36.379) Prec@5 60.938 (66.798) Epoch: [16][3350/5809] Time 5.824 (0.862) Data 5.764 (0.790) Loss 2.6722 (2.6139) Prec@1 35.156 (36.381) Prec@5 65.625 (66.798) Epoch: [16][3360/5809] Time 0.796 (0.861) Data 0.735 (0.789) Loss 2.5325 (2.6137) Prec@1 39.844 (36.382) Prec@5 67.578 (66.802) Epoch: [16][3370/5809] Time 0.201 (0.859) Data 0.141 (0.787) Loss 2.4281 (2.6136) Prec@1 41.406 (36.386) Prec@5 70.312 (66.803) Epoch: [16][3380/5809] Time 0.412 (0.858) Data 0.350 (0.786) Loss 2.5065 (2.6135) Prec@1 33.984 (36.388) Prec@5 71.875 (66.807) Epoch: [16][3390/5809] Time 0.511 (0.856) Data 0.451 (0.784) Loss 2.5856 (2.6135) Prec@1 37.500 (36.387) Prec@5 64.453 (66.806) Epoch: [16][3400/5809] Time 0.603 (0.855) Data 0.542 (0.783) Loss 2.5538 (2.6134) Prec@1 41.016 (36.390) Prec@5 63.281 (66.807) Epoch: [16][3410/5809] Time 0.529 (0.855) Data 0.469 (0.783) Loss 2.6294 (2.6134) Prec@1 36.719 (36.392) Prec@5 66.016 (66.807) Epoch: [16][3420/5809] Time 0.394 (0.854) Data 0.333 (0.782) Loss 2.4963 (2.6134) Prec@1 39.844 (36.392) Prec@5 67.188 (66.806) Epoch: [16][3430/5809] Time 0.692 (0.852) Data 0.631 (0.781) Loss 2.6366 (2.6137) Prec@1 37.109 (36.386) Prec@5 66.406 (66.804) Epoch: [16][3440/5809] Time 0.441 (0.851) Data 0.380 (0.779) Loss 2.5180 (2.6136) Prec@1 39.453 (36.389) Prec@5 69.141 (66.805) Epoch: [16][3450/5809] Time 0.615 (0.850) Data 0.555 (0.778) Loss 2.8599 (2.6138) Prec@1 32.812 (36.384) Prec@5 61.719 (66.801) Epoch: [16][3460/5809] Time 0.269 (0.848) Data 0.208 (0.777) Loss 2.5713 (2.6138) Prec@1 36.719 (36.380) Prec@5 66.016 (66.799) Epoch: [16][3470/5809] Time 0.463 (0.848) Data 0.402 (0.777) Loss 2.6423 (2.6138) Prec@1 36.719 (36.382) Prec@5 69.141 (66.800) Epoch: [16][3480/5809] Time 0.255 (0.847) Data 0.195 (0.776) Loss 2.8026 (2.6141) Prec@1 32.422 (36.377) Prec@5 58.203 (66.792) Epoch: [16][3490/5809] Time 0.265 (0.846) Data 0.204 (0.774) Loss 2.4729 (2.6141) Prec@1 39.062 (36.374) Prec@5 73.047 (66.795) Epoch: [16][3500/5809] Time 0.470 (0.844) Data 0.410 (0.773) Loss 2.6036 (2.6140) Prec@1 35.938 (36.372) Prec@5 67.188 (66.794) Epoch: [16][3510/5809] Time 0.323 (0.843) Data 0.263 (0.772) Loss 2.6694 (2.6139) Prec@1 33.203 (36.372) Prec@5 66.406 (66.794) Epoch: [16][3520/5809] Time 0.302 (0.843) Data 0.241 (0.772) Loss 2.5971 (2.6139) Prec@1 35.547 (36.375) Prec@5 65.625 (66.798) Epoch: [16][3530/5809] Time 0.416 (0.842) Data 0.356 (0.771) Loss 2.6733 (2.6138) Prec@1 33.984 (36.378) Prec@5 66.016 (66.799) Epoch: [16][3540/5809] Time 0.359 (0.841) Data 0.298 (0.769) Loss 2.7545 (2.6139) Prec@1 36.328 (36.378) Prec@5 66.016 (66.799) Epoch: [16][3550/5809] Time 0.507 (0.839) Data 0.446 (0.768) Loss 2.7727 (2.6141) Prec@1 35.938 (36.372) Prec@5 63.672 (66.794) Epoch: [16][3560/5809] Time 0.324 (0.838) Data 0.263 (0.767) Loss 2.7343 (2.6142) Prec@1 35.938 (36.374) Prec@5 65.625 (66.794) Epoch: [16][3570/5809] Time 1.877 (0.837) Data 1.818 (0.766) Loss 2.3251 (2.6142) Prec@1 37.109 (36.371) Prec@5 73.047 (66.794) Epoch: [16][3580/5809] Time 0.270 (0.837) Data 0.211 (0.766) Loss 2.5824 (2.6143) Prec@1 35.156 (36.374) Prec@5 67.578 (66.792) Epoch: [16][3590/5809] Time 0.196 (0.836) Data 0.136 (0.765) Loss 2.5445 (2.6144) Prec@1 39.062 (36.375) Prec@5 68.750 (66.794) Epoch: [16][3600/5809] Time 0.134 (0.835) Data 0.001 (0.763) Loss 2.6671 (2.6144) Prec@1 33.594 (36.372) Prec@5 65.234 (66.792) Epoch: [16][3610/5809] Time 0.443 (0.833) Data 0.385 (0.762) Loss 2.4061 (2.6143) Prec@1 43.750 (36.376) Prec@5 71.484 (66.794) Epoch: [16][3620/5809] Time 0.126 (0.832) Data 0.043 (0.761) Loss 2.6682 (2.6142) Prec@1 37.109 (36.378) Prec@5 65.625 (66.797) Epoch: [16][3630/5809] Time 0.659 (0.833) Data 0.598 (0.761) Loss 2.6934 (2.6142) Prec@1 34.375 (36.379) Prec@5 62.109 (66.796) Epoch: [16][3640/5809] Time 0.133 (0.831) Data 0.064 (0.760) Loss 2.4929 (2.6142) Prec@1 39.453 (36.380) Prec@5 71.484 (66.794) Epoch: [16][3650/5809] Time 0.471 (0.830) Data 0.410 (0.759) Loss 2.5909 (2.6144) Prec@1 39.453 (36.377) Prec@5 67.969 (66.788) Epoch: [16][3660/5809] Time 0.140 (0.829) Data 0.001 (0.757) Loss 2.4918 (2.6145) Prec@1 39.062 (36.374) Prec@5 68.750 (66.783) Epoch: [16][3670/5809] Time 0.790 (0.828) Data 0.723 (0.756) Loss 2.5620 (2.6145) Prec@1 39.844 (36.376) Prec@5 69.141 (66.785) Epoch: [16][3680/5809] Time 0.133 (0.828) Data 0.011 (0.757) Loss 2.6149 (2.6145) Prec@1 38.672 (36.377) Prec@5 64.453 (66.786) Epoch: [16][3690/5809] Time 0.664 (0.827) Data 0.603 (0.755) Loss 2.7206 (2.6147) Prec@1 34.766 (36.372) Prec@5 67.188 (66.782) Epoch: [16][3700/5809] Time 0.133 (0.825) Data 0.056 (0.754) Loss 2.6459 (2.6146) Prec@1 33.594 (36.372) Prec@5 64.062 (66.785) Epoch: [16][3710/5809] Time 0.969 (0.824) Data 0.900 (0.753) Loss 2.5571 (2.6147) Prec@1 40.234 (36.371) Prec@5 64.844 (66.785) Epoch: [16][3720/5809] Time 0.209 (0.823) Data 0.149 (0.752) Loss 2.4890 (2.6146) Prec@1 38.281 (36.373) Prec@5 69.922 (66.787) Epoch: [16][3730/5809] Time 0.623 (0.824) Data 0.564 (0.752) Loss 2.5500 (2.6148) Prec@1 36.328 (36.368) Prec@5 68.750 (66.786) Epoch: [16][3740/5809] Time 0.321 (0.822) Data 0.262 (0.751) Loss 2.4268 (2.6147) Prec@1 40.234 (36.371) Prec@5 70.312 (66.789) Epoch: [16][3750/5809] Time 0.575 (0.821) Data 0.516 (0.750) Loss 2.7479 (2.6146) Prec@1 31.250 (36.371) Prec@5 63.672 (66.790) Epoch: [16][3760/5809] Time 0.358 (0.820) Data 0.300 (0.749) Loss 2.3829 (2.6147) Prec@1 38.672 (36.371) Prec@5 73.047 (66.788) Epoch: [16][3770/5809] Time 0.702 (0.819) Data 0.642 (0.748) Loss 2.5381 (2.6147) Prec@1 41.406 (36.375) Prec@5 66.016 (66.788) Epoch: [16][3780/5809] Time 0.445 (0.819) Data 0.387 (0.748) Loss 2.6338 (2.6148) Prec@1 38.281 (36.376) Prec@5 66.406 (66.787) Epoch: [16][3790/5809] Time 0.529 (0.818) Data 0.470 (0.747) Loss 2.5942 (2.6149) Prec@1 37.109 (36.373) Prec@5 66.406 (66.785) Epoch: [16][3800/5809] Time 0.408 (0.817) Data 0.349 (0.746) Loss 2.7576 (2.6149) Prec@1 34.375 (36.372) Prec@5 64.453 (66.787) Epoch: [16][3810/5809] Time 0.580 (0.816) Data 0.515 (0.745) Loss 2.4916 (2.6151) Prec@1 41.797 (36.367) Prec@5 68.750 (66.783) Epoch: [16][3820/5809] Time 0.522 (0.815) Data 0.452 (0.744) Loss 2.5228 (2.6151) Prec@1 37.109 (36.366) Prec@5 70.312 (66.783) Epoch: [16][3830/5809] Time 0.405 (0.813) Data 0.344 (0.742) Loss 2.6399 (2.6151) Prec@1 38.672 (36.366) Prec@5 66.016 (66.782) Epoch: [16][3840/5809] Time 6.337 (0.814) Data 6.273 (0.743) Loss 2.6423 (2.6151) Prec@1 33.203 (36.367) Prec@5 66.797 (66.782) Epoch: [16][3850/5809] Time 0.259 (0.813) Data 0.198 (0.742) Loss 2.6800 (2.6151) Prec@1 33.594 (36.367) Prec@5 67.969 (66.783) Epoch: [16][3860/5809] Time 0.498 (0.811) Data 0.437 (0.741) Loss 2.5280 (2.6152) Prec@1 36.328 (36.365) Prec@5 69.531 (66.781) Epoch: [16][3870/5809] Time 0.163 (0.810) Data 0.103 (0.739) Loss 2.7485 (2.6154) Prec@1 32.422 (36.363) Prec@5 63.281 (66.778) Epoch: [16][3880/5809] Time 0.651 (0.809) Data 0.593 (0.738) Loss 2.6827 (2.6154) Prec@1 32.422 (36.361) Prec@5 67.188 (66.776) Epoch: [16][3890/5809] Time 0.918 (0.809) Data 0.859 (0.738) Loss 2.8436 (2.6155) Prec@1 29.688 (36.363) Prec@5 60.938 (66.773) Epoch: [16][3900/5809] Time 1.211 (0.809) Data 1.151 (0.738) Loss 2.6532 (2.6157) Prec@1 35.938 (36.361) Prec@5 64.453 (66.770) Epoch: [16][3910/5809] Time 0.142 (0.807) Data 0.001 (0.736) Loss 2.7247 (2.6158) Prec@1 38.672 (36.359) Prec@5 63.672 (66.766) Epoch: [16][3920/5809] Time 1.088 (0.806) Data 1.028 (0.735) Loss 2.4886 (2.6158) Prec@1 39.062 (36.361) Prec@5 71.094 (66.766) Epoch: [16][3930/5809] Time 0.134 (0.807) Data 0.001 (0.736) Loss 2.5700 (2.6155) Prec@1 35.547 (36.366) Prec@5 69.141 (66.771) Epoch: [16][3940/5809] Time 1.228 (0.806) Data 1.168 (0.735) Loss 2.4302 (2.6154) Prec@1 42.969 (36.368) Prec@5 71.484 (66.773) Epoch: [16][3950/5809] Time 0.134 (0.805) Data 0.001 (0.733) Loss 2.4585 (2.6153) Prec@1 39.453 (36.372) Prec@5 69.922 (66.775) Epoch: [16][3960/5809] Time 0.920 (0.804) Data 0.860 (0.732) Loss 2.6606 (2.6154) Prec@1 36.328 (36.374) Prec@5 62.109 (66.771) Epoch: [16][3970/5809] Time 0.126 (0.803) Data 0.001 (0.731) Loss 2.7429 (2.6155) Prec@1 35.938 (36.374) Prec@5 65.234 (66.770) Epoch: [16][3980/5809] Time 7.044 (0.803) Data 6.986 (0.732) Loss 2.6500 (2.6153) Prec@1 35.156 (36.376) Prec@5 66.016 (66.772) Epoch: [16][3990/5809] Time 0.131 (0.802) Data 0.001 (0.730) Loss 2.7685 (2.6153) Prec@1 35.547 (36.375) Prec@5 64.062 (66.774) Epoch: [16][4000/5809] Time 0.923 (0.801) Data 0.864 (0.729) Loss 2.8560 (2.6155) Prec@1 29.297 (36.369) Prec@5 60.938 (66.771) Epoch: [16][4010/5809] Time 0.163 (0.800) Data 0.103 (0.728) Loss 2.6747 (2.6155) Prec@1 39.453 (36.372) Prec@5 67.188 (66.771) Epoch: [16][4020/5809] Time 1.042 (0.799) Data 0.973 (0.727) Loss 2.6739 (2.6155) Prec@1 34.375 (36.367) Prec@5 66.016 (66.772) Epoch: [16][4030/5809] Time 0.405 (0.798) Data 0.345 (0.727) Loss 2.5282 (2.6156) Prec@1 37.500 (36.367) Prec@5 66.406 (66.772) Epoch: [16][4040/5809] Time 1.131 (0.798) Data 1.071 (0.727) Loss 2.6192 (2.6156) Prec@1 34.766 (36.369) Prec@5 66.406 (66.773) Epoch: [16][4050/5809] Time 0.132 (0.797) Data 0.062 (0.726) Loss 2.6436 (2.6157) Prec@1 33.984 (36.367) Prec@5 67.188 (66.773) Epoch: [16][4060/5809] Time 1.070 (0.796) Data 1.011 (0.725) Loss 2.8733 (2.6157) Prec@1 35.547 (36.369) Prec@5 66.016 (66.774) Epoch: [16][4070/5809] Time 0.189 (0.795) Data 0.129 (0.723) Loss 2.4844 (2.6157) Prec@1 39.453 (36.369) Prec@5 70.703 (66.773) Epoch: [16][4080/5809] Time 6.946 (0.796) Data 6.884 (0.724) Loss 2.5817 (2.6156) Prec@1 38.281 (36.370) Prec@5 67.969 (66.775) Epoch: [16][4090/5809] Time 0.174 (0.794) Data 0.114 (0.723) Loss 2.7627 (2.6158) Prec@1 30.859 (36.363) Prec@5 64.844 (66.771) Epoch: [16][4100/5809] Time 0.844 (0.793) Data 0.783 (0.722) Loss 2.5403 (2.6157) Prec@1 38.281 (36.364) Prec@5 72.266 (66.776) Epoch: [16][4110/5809] Time 0.133 (0.792) Data 0.001 (0.721) Loss 2.6412 (2.6158) Prec@1 37.109 (36.364) Prec@5 66.016 (66.774) Epoch: [16][4120/5809] Time 0.837 (0.791) Data 0.777 (0.720) Loss 2.7929 (2.6159) Prec@1 37.109 (36.364) Prec@5 63.672 (66.774) Epoch: [16][4130/5809] Time 0.126 (0.790) Data 0.044 (0.719) Loss 2.4011 (2.6159) Prec@1 42.969 (36.364) Prec@5 71.484 (66.774) Epoch: [16][4140/5809] Time 1.145 (0.791) Data 1.084 (0.719) Loss 2.8652 (2.6160) Prec@1 30.859 (36.359) Prec@5 64.453 (66.770) Epoch: [16][4150/5809] Time 0.142 (0.790) Data 0.001 (0.718) Loss 2.7186 (2.6162) Prec@1 30.469 (36.359) Prec@5 64.453 (66.771) Epoch: [16][4160/5809] Time 1.096 (0.789) Data 1.030 (0.717) Loss 2.4577 (2.6160) Prec@1 39.844 (36.363) Prec@5 67.188 (66.774) Epoch: [16][4170/5809] Time 0.133 (0.788) Data 0.001 (0.716) Loss 2.5643 (2.6158) Prec@1 37.891 (36.363) Prec@5 70.312 (66.779) Epoch: [16][4180/5809] Time 1.130 (0.787) Data 1.065 (0.715) Loss 2.6342 (2.6159) Prec@1 36.328 (36.363) Prec@5 68.359 (66.781) Epoch: [16][4190/5809] Time 0.142 (0.787) Data 0.002 (0.715) Loss 2.4570 (2.6157) Prec@1 35.547 (36.367) Prec@5 68.359 (66.784) Epoch: [16][4200/5809] Time 1.193 (0.786) Data 1.135 (0.714) Loss 2.6121 (2.6157) Prec@1 36.328 (36.369) Prec@5 66.406 (66.786) Epoch: [16][4210/5809] Time 0.142 (0.785) Data 0.041 (0.713) Loss 2.5947 (2.6159) Prec@1 34.766 (36.363) Prec@5 66.016 (66.781) Epoch: [16][4220/5809] Time 1.091 (0.785) Data 1.033 (0.712) Loss 2.6744 (2.6159) Prec@1 34.375 (36.362) Prec@5 69.141 (66.782) Epoch: [16][4230/5809] Time 0.131 (0.783) Data 0.065 (0.711) Loss 2.3733 (2.6159) Prec@1 45.703 (36.363) Prec@5 72.266 (66.779) Epoch: [16][4240/5809] Time 0.884 (0.783) Data 0.823 (0.710) Loss 2.7246 (2.6160) Prec@1 34.375 (36.360) Prec@5 65.234 (66.774) Epoch: [16][4250/5809] Time 0.136 (0.783) Data 0.001 (0.711) Loss 2.5638 (2.6160) Prec@1 31.641 (36.360) Prec@5 68.750 (66.775) Epoch: [16][4260/5809] Time 0.887 (0.782) Data 0.827 (0.710) Loss 2.5195 (2.6159) Prec@1 39.453 (36.368) Prec@5 70.703 (66.776) Epoch: [16][4270/5809] Time 0.132 (0.781) Data 0.063 (0.709) Loss 2.7968 (2.6159) Prec@1 32.812 (36.366) Prec@5 64.844 (66.776) Epoch: [16][4280/5809] Time 0.904 (0.780) Data 0.843 (0.708) Loss 2.6563 (2.6161) Prec@1 33.594 (36.360) Prec@5 65.234 (66.773) Epoch: [16][4290/5809] Time 0.179 (0.779) Data 0.121 (0.707) Loss 2.8375 (2.6163) Prec@1 35.156 (36.358) Prec@5 61.328 (66.770) Epoch: [16][4300/5809] Time 3.673 (0.780) Data 3.612 (0.707) Loss 2.6309 (2.6162) Prec@1 35.156 (36.361) Prec@5 62.891 (66.771) Epoch: [16][4310/5809] Time 0.133 (0.779) Data 0.001 (0.706) Loss 2.6327 (2.6162) Prec@1 39.062 (36.360) Prec@5 67.188 (66.770) Epoch: [16][4320/5809] Time 0.525 (0.778) Data 0.464 (0.705) Loss 2.7577 (2.6162) Prec@1 34.375 (36.362) Prec@5 67.188 (66.771) Epoch: [16][4330/5809] Time 0.134 (0.777) Data 0.001 (0.704) Loss 2.5892 (2.6162) Prec@1 37.500 (36.366) Prec@5 69.922 (66.774) Epoch: [16][4340/5809] Time 0.707 (0.776) Data 0.646 (0.703) Loss 2.3118 (2.6162) Prec@1 41.797 (36.367) Prec@5 72.656 (66.773) Epoch: [16][4350/5809] Time 1.693 (0.776) Data 1.633 (0.703) Loss 2.6839 (2.6162) Prec@1 34.375 (36.367) Prec@5 68.750 (66.774) Epoch: [16][4360/5809] Time 0.656 (0.775) Data 0.589 (0.703) Loss 2.8212 (2.6162) Prec@1 32.812 (36.368) Prec@5 61.328 (66.772) Epoch: [16][4370/5809] Time 0.134 (0.774) Data 0.001 (0.702) Loss 2.7166 (2.6163) Prec@1 36.328 (36.366) Prec@5 64.062 (66.770) Epoch: [16][4380/5809] Time 0.782 (0.774) Data 0.714 (0.701) Loss 2.7921 (2.6163) Prec@1 32.812 (36.364) Prec@5 69.141 (66.772) Epoch: [16][4390/5809] Time 0.166 (0.773) Data 0.106 (0.700) Loss 2.6912 (2.6162) Prec@1 38.672 (36.368) Prec@5 66.406 (66.775) Epoch: [16][4400/5809] Time 4.522 (0.773) Data 4.461 (0.700) Loss 2.6179 (2.6163) Prec@1 38.281 (36.368) Prec@5 67.188 (66.774) Epoch: [16][4410/5809] Time 0.134 (0.772) Data 0.072 (0.700) Loss 2.6287 (2.6163) Prec@1 37.500 (36.368) Prec@5 65.625 (66.773) Epoch: [16][4420/5809] Time 0.763 (0.771) Data 0.694 (0.699) Loss 2.5615 (2.6162) Prec@1 36.719 (36.368) Prec@5 67.578 (66.774) Epoch: [16][4430/5809] Time 0.133 (0.770) Data 0.001 (0.698) Loss 2.6997 (2.6163) Prec@1 32.031 (36.367) Prec@5 66.406 (66.771) Epoch: [16][4440/5809] Time 0.763 (0.770) Data 0.697 (0.697) Loss 2.6413 (2.6164) Prec@1 36.328 (36.364) Prec@5 66.016 (66.769) Epoch: [16][4450/5809] Time 0.378 (0.769) Data 0.317 (0.696) Loss 2.6478 (2.6164) Prec@1 37.109 (36.366) Prec@5 65.625 (66.769) Epoch: [16][4460/5809] Time 0.753 (0.768) Data 0.693 (0.695) Loss 2.7671 (2.6164) Prec@1 31.641 (36.365) Prec@5 62.109 (66.769) Epoch: [16][4470/5809] Time 0.133 (0.768) Data 0.001 (0.695) Loss 2.5278 (2.6165) Prec@1 40.625 (36.364) Prec@5 67.969 (66.769) Epoch: [16][4480/5809] Time 0.908 (0.767) Data 0.842 (0.695) Loss 2.5204 (2.6166) Prec@1 40.234 (36.360) Prec@5 69.531 (66.767) Epoch: [16][4490/5809] Time 0.132 (0.766) Data 0.041 (0.694) Loss 2.6509 (2.6166) Prec@1 35.156 (36.361) Prec@5 64.453 (66.768) Epoch: [16][4500/5809] Time 0.753 (0.766) Data 0.691 (0.693) Loss 2.5151 (2.6166) Prec@1 37.891 (36.359) Prec@5 66.016 (66.767) Epoch: [16][4510/5809] Time 0.133 (0.765) Data 0.052 (0.692) Loss 2.6497 (2.6167) Prec@1 38.672 (36.359) Prec@5 68.359 (66.765) Epoch: [16][4520/5809] Time 0.740 (0.765) Data 0.679 (0.692) Loss 2.2030 (2.6167) Prec@1 43.359 (36.360) Prec@5 75.781 (66.765) Epoch: [16][4530/5809] Time 0.198 (0.764) Data 0.138 (0.692) Loss 2.4371 (2.6167) Prec@1 38.281 (36.360) Prec@5 72.656 (66.767) Epoch: [16][4540/5809] Time 0.907 (0.763) Data 0.847 (0.691) Loss 2.7261 (2.6170) Prec@1 34.375 (36.357) Prec@5 62.500 (66.762) Epoch: [16][4550/5809] Time 0.229 (0.762) Data 0.169 (0.690) Loss 2.5585 (2.6170) Prec@1 39.062 (36.360) Prec@5 69.922 (66.762) Epoch: [16][4560/5809] Time 0.931 (0.762) Data 0.871 (0.689) Loss 2.6163 (2.6170) Prec@1 31.250 (36.356) Prec@5 65.234 (66.764) Epoch: [16][4570/5809] Time 1.984 (0.761) Data 1.926 (0.689) Loss 2.7601 (2.6171) Prec@1 35.547 (36.354) Prec@5 61.328 (66.762) Epoch: [16][4580/5809] Time 0.721 (0.761) Data 0.652 (0.689) Loss 2.6183 (2.6171) Prec@1 39.844 (36.354) Prec@5 67.969 (66.763) Epoch: [16][4590/5809] Time 0.132 (0.760) Data 0.001 (0.688) Loss 2.6031 (2.6169) Prec@1 36.328 (36.358) Prec@5 66.797 (66.766) Epoch: [16][4600/5809] Time 0.390 (0.760) Data 0.331 (0.687) Loss 2.8268 (2.6169) Prec@1 32.031 (36.358) Prec@5 62.500 (66.767) Epoch: [16][4610/5809] Time 0.133 (0.759) Data 0.001 (0.686) Loss 2.6121 (2.6170) Prec@1 37.109 (36.359) Prec@5 68.750 (66.766) Epoch: [16][4620/5809] Time 2.735 (0.759) Data 2.675 (0.686) Loss 2.7210 (2.6170) Prec@1 35.547 (36.359) Prec@5 64.062 (66.764) Epoch: [16][4630/5809] Time 0.198 (0.758) Data 0.138 (0.686) Loss 2.6605 (2.6171) Prec@1 35.156 (36.358) Prec@5 69.922 (66.762) Epoch: [16][4640/5809] Time 0.651 (0.758) Data 0.584 (0.685) Loss 2.8015 (2.6171) Prec@1 37.500 (36.359) Prec@5 66.406 (66.764) Epoch: [16][4650/5809] Time 0.133 (0.757) Data 0.001 (0.684) Loss 2.5670 (2.6172) Prec@1 35.938 (36.357) Prec@5 67.578 (66.762) Epoch: [16][4660/5809] Time 0.382 (0.756) Data 0.321 (0.683) Loss 2.7079 (2.6173) Prec@1 33.984 (36.356) Prec@5 67.188 (66.759) Epoch: [16][4670/5809] Time 0.301 (0.755) Data 0.240 (0.682) Loss 2.9088 (2.6172) Prec@1 29.688 (36.359) Prec@5 57.812 (66.760) Epoch: [16][4680/5809] Time 0.338 (0.754) Data 0.280 (0.682) Loss 2.4795 (2.6173) Prec@1 37.891 (36.358) Prec@5 67.188 (66.758) Epoch: [16][4690/5809] Time 0.146 (0.755) Data 0.084 (0.682) Loss 2.7151 (2.6172) Prec@1 39.844 (36.359) Prec@5 63.672 (66.759) Epoch: [16][4700/5809] Time 0.133 (0.754) Data 0.058 (0.681) Loss 2.6138 (2.6172) Prec@1 35.547 (36.360) Prec@5 69.531 (66.761) Epoch: [16][4710/5809] Time 0.295 (0.753) Data 0.235 (0.680) Loss 2.6524 (2.6173) Prec@1 38.281 (36.362) Prec@5 66.797 (66.759) Epoch: [16][4720/5809] Time 0.326 (0.752) Data 0.265 (0.680) Loss 2.5866 (2.6171) Prec@1 36.328 (36.364) Prec@5 66.797 (66.763) Epoch: [16][4730/5809] Time 0.403 (0.752) Data 0.344 (0.679) Loss 2.5521 (2.6171) Prec@1 35.938 (36.361) Prec@5 69.531 (66.765) Epoch: [16][4740/5809] Time 0.216 (0.752) Data 0.155 (0.679) Loss 2.7567 (2.6172) Prec@1 32.422 (36.359) Prec@5 67.188 (66.763) Epoch: [16][4750/5809] Time 0.523 (0.751) Data 0.463 (0.679) Loss 2.6188 (2.6172) Prec@1 36.719 (36.360) Prec@5 64.453 (66.761) Epoch: [16][4760/5809] Time 0.135 (0.750) Data 0.001 (0.678) Loss 2.3493 (2.6171) Prec@1 39.062 (36.364) Prec@5 73.438 (66.763) Epoch: [16][4770/5809] Time 0.428 (0.750) Data 0.367 (0.677) Loss 2.5373 (2.6170) Prec@1 38.281 (36.367) Prec@5 67.969 (66.765) Epoch: [16][4780/5809] Time 0.133 (0.749) Data 0.009 (0.676) Loss 2.8393 (2.6170) Prec@1 39.062 (36.369) Prec@5 62.891 (66.765) Epoch: [16][4790/5809] Time 0.402 (0.749) Data 0.342 (0.677) Loss 2.8618 (2.6171) Prec@1 29.688 (36.363) Prec@5 66.016 (66.763) Epoch: [16][4800/5809] Time 0.133 (0.749) Data 0.001 (0.676) Loss 2.6111 (2.6171) Prec@1 35.156 (36.365) Prec@5 67.188 (66.766) Epoch: [16][4810/5809] Time 0.777 (0.748) Data 0.716 (0.675) Loss 2.6387 (2.6172) Prec@1 31.641 (36.363) Prec@5 66.016 (66.763) Epoch: [16][4820/5809] Time 0.133 (0.747) Data 0.001 (0.674) Loss 2.5451 (2.6172) Prec@1 35.156 (36.362) Prec@5 64.844 (66.763) Epoch: [16][4830/5809] Time 0.800 (0.746) Data 0.738 (0.674) Loss 2.7696 (2.6172) Prec@1 33.594 (36.358) Prec@5 61.328 (66.760) Epoch: [16][4840/5809] Time 0.613 (0.747) Data 0.552 (0.674) Loss 2.8837 (2.6172) Prec@1 31.641 (36.357) Prec@5 60.547 (66.760) Epoch: [16][4850/5809] Time 0.736 (0.746) Data 0.676 (0.673) Loss 2.9235 (2.6173) Prec@1 28.516 (36.358) Prec@5 60.547 (66.759) Epoch: [16][4860/5809] Time 0.141 (0.745) Data 0.001 (0.673) Loss 2.4743 (2.6172) Prec@1 39.062 (36.358) Prec@5 67.969 (66.760) Epoch: [16][4870/5809] Time 0.540 (0.744) Data 0.480 (0.672) Loss 2.4262 (2.6172) Prec@1 41.016 (36.359) Prec@5 73.438 (66.762) Epoch: [16][4880/5809] Time 0.133 (0.744) Data 0.064 (0.671) Loss 2.7179 (2.6174) Prec@1 37.500 (36.354) Prec@5 65.625 (66.757) Epoch: [16][4890/5809] Time 3.863 (0.744) Data 3.803 (0.671) Loss 2.7588 (2.6175) Prec@1 31.641 (36.353) Prec@5 63.281 (66.756) Epoch: [16][4900/5809] Time 0.143 (0.743) Data 0.001 (0.671) Loss 2.4950 (2.6173) Prec@1 37.109 (36.356) Prec@5 72.656 (66.760) Epoch: [16][4910/5809] Time 0.403 (0.743) Data 0.343 (0.670) Loss 2.5770 (2.6174) Prec@1 41.797 (36.357) Prec@5 67.969 (66.759) Epoch: [16][4920/5809] Time 0.198 (0.742) Data 0.137 (0.669) Loss 2.4774 (2.6174) Prec@1 36.719 (36.357) Prec@5 69.141 (66.758) Epoch: [16][4930/5809] Time 0.419 (0.741) Data 0.359 (0.668) Loss 2.6134 (2.6173) Prec@1 35.938 (36.357) Prec@5 67.969 (66.757) Epoch: [16][4940/5809] Time 0.213 (0.740) Data 0.153 (0.668) Loss 2.5972 (2.6173) Prec@1 31.641 (36.357) Prec@5 67.188 (66.758) Epoch: [16][4950/5809] Time 0.793 (0.740) Data 0.732 (0.667) Loss 2.8734 (2.6175) Prec@1 30.078 (36.353) Prec@5 60.156 (66.754) Epoch: [16][4960/5809] Time 0.143 (0.740) Data 0.001 (0.667) Loss 2.8889 (2.6177) Prec@1 34.375 (36.348) Prec@5 61.328 (66.749) Epoch: [16][4970/5809] Time 0.433 (0.739) Data 0.373 (0.667) Loss 2.7825 (2.6178) Prec@1 35.156 (36.349) Prec@5 66.016 (66.748) Epoch: [16][4980/5809] Time 0.400 (0.739) Data 0.340 (0.666) Loss 2.6007 (2.6180) Prec@1 39.062 (36.346) Prec@5 67.578 (66.743) Epoch: [16][4990/5809] Time 0.133 (0.738) Data 0.001 (0.665) Loss 2.6662 (2.6181) Prec@1 34.375 (36.346) Prec@5 67.578 (66.742) Epoch: [16][5000/5809] Time 0.382 (0.737) Data 0.312 (0.665) Loss 2.5977 (2.6181) Prec@1 41.406 (36.348) Prec@5 66.406 (66.742) Epoch: [16][5010/5809] Time 0.134 (0.738) Data 0.001 (0.665) Loss 2.4079 (2.6181) Prec@1 41.797 (36.350) Prec@5 71.094 (66.743) Epoch: [16][5020/5809] Time 0.158 (0.737) Data 0.097 (0.664) Loss 2.7476 (2.6180) Prec@1 33.594 (36.351) Prec@5 65.234 (66.744) Epoch: [16][5030/5809] Time 0.219 (0.736) Data 0.159 (0.663) Loss 2.8792 (2.6182) Prec@1 33.203 (36.347) Prec@5 59.375 (66.741) Epoch: [16][5040/5809] Time 0.134 (0.736) Data 0.073 (0.663) Loss 2.6492 (2.6182) Prec@1 35.156 (36.345) Prec@5 64.062 (66.739) Epoch: [16][5050/5809] Time 0.205 (0.735) Data 0.145 (0.662) Loss 2.6604 (2.6182) Prec@1 35.156 (36.346) Prec@5 63.281 (66.739) Epoch: [16][5060/5809] Time 0.290 (0.735) Data 0.230 (0.663) Loss 2.5505 (2.6183) Prec@1 40.234 (36.340) Prec@5 65.234 (66.738) Epoch: [16][5070/5809] Time 0.159 (0.735) Data 0.099 (0.662) Loss 2.5343 (2.6183) Prec@1 39.844 (36.340) Prec@5 69.141 (66.738) Epoch: [16][5080/5809] Time 0.133 (0.734) Data 0.001 (0.661) Loss 2.6815 (2.6184) Prec@1 35.156 (36.337) Prec@5 64.453 (66.737) Epoch: [16][5090/5809] Time 0.133 (0.733) Data 0.001 (0.660) Loss 2.8841 (2.6184) Prec@1 30.469 (36.337) Prec@5 63.281 (66.737) Epoch: [16][5100/5809] Time 0.132 (0.733) Data 0.001 (0.660) Loss 2.3841 (2.6183) Prec@1 39.062 (36.339) Prec@5 69.922 (66.740) Epoch: [16][5110/5809] Time 0.133 (0.733) Data 0.056 (0.660) Loss 2.7093 (2.6184) Prec@1 34.375 (36.336) Prec@5 66.016 (66.739) Epoch: [16][5120/5809] Time 0.132 (0.732) Data 0.044 (0.659) Loss 2.6880 (2.6185) Prec@1 34.766 (36.334) Prec@5 65.234 (66.737) Epoch: [16][5130/5809] Time 0.427 (0.732) Data 0.367 (0.659) Loss 2.7689 (2.6186) Prec@1 30.859 (36.333) Prec@5 64.062 (66.736) Epoch: [16][5140/5809] Time 0.198 (0.731) Data 0.137 (0.658) Loss 2.5703 (2.6185) Prec@1 38.672 (36.334) Prec@5 67.969 (66.738) Epoch: [16][5150/5809] Time 0.473 (0.730) Data 0.413 (0.657) Loss 2.6403 (2.6185) Prec@1 37.891 (36.335) Prec@5 67.578 (66.737) Epoch: [16][5160/5809] Time 0.143 (0.730) Data 0.009 (0.657) Loss 2.7387 (2.6186) Prec@1 34.375 (36.332) Prec@5 64.062 (66.736) Epoch: [16][5170/5809] Time 0.485 (0.729) Data 0.425 (0.656) Loss 2.5233 (2.6186) Prec@1 35.547 (36.332) Prec@5 63.281 (66.735) Epoch: [16][5180/5809] Time 0.133 (0.729) Data 0.001 (0.656) Loss 2.6662 (2.6186) Prec@1 38.672 (36.332) Prec@5 65.625 (66.733) Epoch: [16][5190/5809] Time 0.531 (0.729) Data 0.470 (0.656) Loss 2.6077 (2.6186) Prec@1 36.719 (36.335) Prec@5 67.578 (66.733) Epoch: [16][5200/5809] Time 0.255 (0.728) Data 0.195 (0.655) Loss 2.7734 (2.6188) Prec@1 35.938 (36.333) Prec@5 62.891 (66.728) Epoch: [16][5210/5809] Time 0.397 (0.727) Data 0.336 (0.654) Loss 2.6334 (2.6189) Prec@1 38.672 (36.331) Prec@5 64.453 (66.725) Epoch: [16][5220/5809] Time 0.133 (0.726) Data 0.054 (0.654) Loss 2.6861 (2.6190) Prec@1 35.156 (36.330) Prec@5 67.188 (66.725) Epoch: [16][5230/5809] Time 0.445 (0.727) Data 0.384 (0.654) Loss 2.5848 (2.6189) Prec@1 40.234 (36.329) Prec@5 67.969 (66.726) Epoch: [16][5240/5809] Time 0.301 (0.726) Data 0.241 (0.653) Loss 2.6807 (2.6188) Prec@1 35.547 (36.329) Prec@5 62.891 (66.727) Epoch: [16][5250/5809] Time 0.323 (0.726) Data 0.263 (0.653) Loss 2.6078 (2.6188) Prec@1 35.938 (36.327) Prec@5 70.312 (66.726) Epoch: [16][5260/5809] Time 0.135 (0.725) Data 0.001 (0.652) Loss 2.7666 (2.6188) Prec@1 35.938 (36.326) Prec@5 67.188 (66.727) Epoch: [16][5270/5809] Time 0.171 (0.724) Data 0.111 (0.651) Loss 2.4550 (2.6188) Prec@1 38.281 (36.326) Prec@5 66.797 (66.727) Epoch: [16][5280/5809] Time 0.138 (0.725) Data 0.019 (0.652) Loss 2.6864 (2.6188) Prec@1 36.328 (36.327) Prec@5 65.234 (66.726) Epoch: [16][5290/5809] Time 0.307 (0.724) Data 0.247 (0.651) Loss 2.6199 (2.6188) Prec@1 32.422 (36.327) Prec@5 70.312 (66.726) Epoch: [16][5300/5809] Time 0.265 (0.723) Data 0.205 (0.650) Loss 2.4982 (2.6188) Prec@1 36.328 (36.325) Prec@5 70.312 (66.729) Epoch: [16][5310/5809] Time 0.133 (0.723) Data 0.010 (0.650) Loss 2.5886 (2.6187) Prec@1 35.547 (36.325) Prec@5 68.750 (66.730) Epoch: [16][5320/5809] Time 0.516 (0.722) Data 0.455 (0.649) Loss 2.5731 (2.6188) Prec@1 34.766 (36.322) Prec@5 66.406 (66.727) Epoch: [16][5330/5809] Time 0.133 (0.722) Data 0.001 (0.649) Loss 2.5788 (2.6188) Prec@1 35.156 (36.320) Prec@5 68.359 (66.727) Epoch: [16][5340/5809] Time 0.855 (0.722) Data 0.794 (0.649) Loss 2.6360 (2.6188) Prec@1 37.109 (36.318) Prec@5 64.062 (66.725) Epoch: [16][5350/5809] Time 0.345 (0.721) Data 0.284 (0.648) Loss 2.5893 (2.6188) Prec@1 37.500 (36.319) Prec@5 69.141 (66.724) Epoch: [16][5360/5809] Time 0.785 (0.721) Data 0.723 (0.648) Loss 2.5758 (2.6188) Prec@1 36.719 (36.316) Prec@5 67.578 (66.723) Epoch: [16][5370/5809] Time 0.266 (0.720) Data 0.207 (0.647) Loss 2.4168 (2.6189) Prec@1 42.188 (36.316) Prec@5 70.703 (66.722) Epoch: [16][5380/5809] Time 0.868 (0.719) Data 0.810 (0.646) Loss 2.8997 (2.6190) Prec@1 32.812 (36.315) Prec@5 57.812 (66.720) Epoch: [16][5390/5809] Time 0.127 (0.720) Data 0.064 (0.647) Loss 2.8771 (2.6191) Prec@1 29.688 (36.312) Prec@5 63.281 (66.717) Epoch: [16][5400/5809] Time 0.940 (0.719) Data 0.880 (0.646) Loss 2.6053 (2.6192) Prec@1 34.375 (36.310) Prec@5 67.188 (66.715) Epoch: [16][5410/5809] Time 0.134 (0.718) Data 0.068 (0.645) Loss 2.4605 (2.6191) Prec@1 41.406 (36.311) Prec@5 66.016 (66.713) Epoch: [16][5420/5809] Time 0.761 (0.718) Data 0.701 (0.645) Loss 2.6945 (2.6192) Prec@1 37.500 (36.309) Prec@5 63.281 (66.712) Epoch: [16][5430/5809] Time 0.219 (0.717) Data 0.159 (0.644) Loss 2.7586 (2.6194) Prec@1 34.766 (36.309) Prec@5 64.062 (66.709) Epoch: [16][5440/5809] Time 0.935 (0.718) Data 0.875 (0.645) Loss 2.5659 (2.6194) Prec@1 34.375 (36.308) Prec@5 67.578 (66.709) Epoch: [16][5450/5809] Time 0.233 (0.717) Data 0.172 (0.644) Loss 2.7033 (2.6193) Prec@1 35.938 (36.308) Prec@5 66.406 (66.710) Epoch: [16][5460/5809] Time 1.035 (0.716) Data 0.975 (0.643) Loss 2.6392 (2.6193) Prec@1 35.938 (36.309) Prec@5 64.062 (66.710) Epoch: [16][5470/5809] Time 1.223 (0.717) Data 1.164 (0.644) Loss 2.5640 (2.6192) Prec@1 37.500 (36.310) Prec@5 66.797 (66.710) Epoch: [16][5480/5809] Time 0.824 (0.716) Data 0.765 (0.643) Loss 2.5982 (2.6192) Prec@1 37.891 (36.311) Prec@5 66.016 (66.710) Epoch: [16][5490/5809] Time 0.136 (0.715) Data 0.001 (0.643) Loss 2.6314 (2.6192) Prec@1 37.109 (36.311) Prec@5 64.453 (66.712) Epoch: [16][5500/5809] Time 0.345 (0.716) Data 0.286 (0.643) Loss 2.5096 (2.6192) Prec@1 36.328 (36.309) Prec@5 71.484 (66.711) Epoch: [16][5510/5809] Time 0.237 (0.716) Data 0.178 (0.643) Loss 2.6881 (2.6193) Prec@1 35.547 (36.305) Prec@5 61.719 (66.710) Epoch: [16][5520/5809] Time 0.382 (0.715) Data 0.321 (0.642) Loss 2.5561 (2.6193) Prec@1 35.156 (36.304) Prec@5 69.141 (66.707) Epoch: [16][5530/5809] Time 0.134 (0.714) Data 0.063 (0.642) Loss 2.5676 (2.6193) Prec@1 38.672 (36.305) Prec@5 69.531 (66.707) Epoch: [16][5540/5809] Time 0.246 (0.715) Data 0.186 (0.642) Loss 2.6320 (2.6193) Prec@1 38.281 (36.305) Prec@5 64.844 (66.708) Epoch: [16][5550/5809] Time 0.158 (0.714) Data 0.099 (0.641) Loss 2.9460 (2.6193) Prec@1 29.688 (36.306) Prec@5 59.375 (66.708) Epoch: [16][5560/5809] Time 0.305 (0.714) Data 0.246 (0.641) Loss 2.6307 (2.6193) Prec@1 38.281 (36.308) Prec@5 69.922 (66.709) Epoch: [16][5570/5809] Time 0.133 (0.714) Data 0.001 (0.641) Loss 2.6831 (2.6193) Prec@1 34.375 (36.306) Prec@5 63.672 (66.708) Epoch: [16][5580/5809] Time 0.143 (0.713) Data 0.082 (0.640) Loss 2.6177 (2.6193) Prec@1 35.547 (36.305) Prec@5 66.797 (66.708) Epoch: [16][5590/5809] Time 0.133 (0.712) Data 0.001 (0.640) Loss 2.4763 (2.6193) Prec@1 37.500 (36.303) Prec@5 69.141 (66.708) Epoch: [16][5600/5809] Time 3.076 (0.712) Data 3.013 (0.639) Loss 2.8754 (2.6193) Prec@1 26.953 (36.301) Prec@5 59.766 (66.710) Epoch: [16][5610/5809] Time 0.459 (0.713) Data 0.397 (0.640) Loss 2.8831 (2.6194) Prec@1 32.031 (36.298) Prec@5 61.328 (66.709) Epoch: [16][5620/5809] Time 0.297 (0.712) Data 0.237 (0.639) Loss 2.5936 (2.6194) Prec@1 35.547 (36.299) Prec@5 64.062 (66.707) Epoch: [16][5630/5809] Time 0.958 (0.711) Data 0.896 (0.639) Loss 2.7553 (2.6195) Prec@1 37.109 (36.299) Prec@5 62.500 (66.705) Epoch: [16][5640/5809] Time 0.133 (0.712) Data 0.041 (0.639) Loss 2.5971 (2.6194) Prec@1 39.453 (36.300) Prec@5 67.188 (66.705) Epoch: [16][5650/5809] Time 1.022 (0.711) Data 0.962 (0.639) Loss 2.5042 (2.6194) Prec@1 37.891 (36.301) Prec@5 67.969 (66.705) Epoch: [16][5660/5809] Time 0.131 (0.711) Data 0.061 (0.638) Loss 2.5829 (2.6194) Prec@1 38.672 (36.301) Prec@5 65.234 (66.704) Epoch: [16][5670/5809] Time 1.018 (0.710) Data 0.959 (0.637) Loss 2.5907 (2.6194) Prec@1 37.109 (36.302) Prec@5 69.922 (66.704) Epoch: [16][5680/5809] Time 0.294 (0.710) Data 0.235 (0.637) Loss 2.7971 (2.6194) Prec@1 33.594 (36.302) Prec@5 67.578 (66.704) Epoch: [16][5690/5809] Time 0.304 (0.711) Data 0.245 (0.638) Loss 2.7024 (2.6195) Prec@1 35.938 (36.300) Prec@5 66.797 (66.703) Epoch: [16][5700/5809] Time 0.635 (0.710) Data 0.576 (0.637) Loss 2.5706 (2.6193) Prec@1 39.844 (36.305) Prec@5 66.797 (66.705) Epoch: [16][5710/5809] Time 0.286 (0.710) Data 0.225 (0.637) Loss 2.5758 (2.6193) Prec@1 39.844 (36.304) Prec@5 64.844 (66.704) Epoch: [16][5720/5809] Time 0.947 (0.710) Data 0.888 (0.637) Loss 2.6013 (2.6194) Prec@1 38.281 (36.304) Prec@5 65.625 (66.704) Epoch: [16][5730/5809] Time 0.132 (0.711) Data 0.050 (0.638) Loss 2.5425 (2.6194) Prec@1 35.938 (36.305) Prec@5 67.969 (66.702) Epoch: [16][5740/5809] Time 1.111 (0.710) Data 1.049 (0.638) Loss 2.6333 (2.6193) Prec@1 35.938 (36.306) Prec@5 69.141 (66.702) Epoch: [16][5750/5809] Time 0.170 (0.710) Data 0.100 (0.637) Loss 2.7831 (2.6194) Prec@1 35.938 (36.306) Prec@5 64.453 (66.700) Epoch: [16][5760/5809] Time 1.362 (0.710) Data 1.303 (0.637) Loss 2.5639 (2.6194) Prec@1 37.500 (36.305) Prec@5 65.234 (66.700) Epoch: [16][5770/5809] Time 0.133 (0.709) Data 0.001 (0.637) Loss 2.8203 (2.6194) Prec@1 32.031 (36.307) Prec@5 62.891 (66.701) Epoch: [16][5780/5809] Time 4.951 (0.710) Data 4.890 (0.637) Loss 2.6462 (2.6194) Prec@1 38.281 (36.305) Prec@5 66.016 (66.700) Epoch: [16][5790/5809] Time 0.132 (0.709) Data 0.001 (0.637) Loss 2.8727 (2.6195) Prec@1 33.984 (36.304) Prec@5 63.281 (66.698) Epoch: [16][5800/5809] Time 1.190 (0.709) Data 1.132 (0.636) Loss 2.6299 (2.6195) Prec@1 38.672 (36.305) Prec@5 63.281 (66.697) Test: [0/143] Time 2.446 (2.446) Loss 1.8514 (1.8514) Prec@1 47.266 (47.266) Prec@5 85.938 (85.938) Test: [10/143] Time 0.116 (0.749) Loss 9.7106 (9.2086) Prec@1 0.000 (5.753) Prec@5 0.000 (13.885) Test: [20/143] Time 0.690 (0.560) Loss 10.5434 (9.9224) Prec@1 0.000 (3.106) Prec@5 0.000 (8.185) Test: [30/143] Time 0.169 (0.464) Loss 12.7290 (10.5581) Prec@1 0.000 (2.117) Prec@5 0.391 (5.759) Test: [40/143] Time 0.264 (0.438) Loss 11.2414 (10.6333) Prec@1 0.781 (1.667) Prec@5 1.953 (4.707) Test: [50/143] Time 0.119 (0.520) Loss 9.7939 (10.6352) Prec@1 0.000 (1.409) Prec@5 0.781 (4.871) Test: [60/143] Time 0.055 (0.487) Loss 11.9352 (10.7716) Prec@1 0.000 (1.178) Prec@5 0.391 (4.150) Test: [70/143] Time 0.055 (0.462) Loss 10.1089 (10.8389) Prec@1 0.000 (1.023) Prec@5 0.391 (3.659) Test: [80/143] Time 0.068 (0.440) Loss 8.9551 (10.7907) Prec@1 0.000 (0.989) Prec@5 1.172 (3.467) Test: [90/143] Time 0.533 (0.429) Loss 9.2122 (10.6972) Prec@1 0.391 (0.897) Prec@5 1.953 (3.297) Test: [100/143] Time 0.311 (0.415) Loss 10.8794 (10.6526) Prec@1 0.000 (0.843) Prec@5 0.000 (3.090) Test: [110/143] Time 0.592 (0.406) Loss 12.5505 (10.6252) Prec@1 0.000 (0.788) Prec@5 0.000 (2.949) Test: [120/143] Time 0.438 (0.396) Loss 14.1502 (10.6933) Prec@1 0.000 (0.752) Prec@5 0.000 (2.818) Test: [130/143] Time 0.247 (0.389) Loss 14.4773 (11.0070) Prec@1 0.000 (0.695) Prec@5 0.000 (2.603) Test: [140/143] Time 0.507 (0.387) Loss 16.1956 (11.3160) Prec@1 0.000 (0.646) Prec@5 0.000 (2.419) * Prec@1 0.639 Prec@5 2.393 Epoch: [17][0/5809] Time 10.936 (10.936) Data 10.868 (10.868) Loss 2.7066 (2.7066) Prec@1 37.891 (37.891) Prec@5 64.844 (64.844) Epoch: [17][10/5809] Time 0.134 (1.350) Data 0.001 (1.250) Loss 2.4899 (2.6029) Prec@1 37.109 (37.500) Prec@5 65.234 (65.945) Epoch: [17][20/5809] Time 1.233 (0.929) Data 1.166 (0.837) Loss 2.5816 (2.6001) Prec@1 37.891 (36.923) Prec@5 68.359 (66.834) Epoch: [17][30/5809] Time 0.132 (0.756) Data 0.001 (0.664) Loss 2.7142 (2.5831) Prec@1 37.109 (37.059) Prec@5 64.844 (67.490) Epoch: [17][40/5809] Time 1.100 (0.821) Data 1.039 (0.729) Loss 2.5890 (2.6042) Prec@1 36.719 (36.709) Prec@5 69.531 (67.226) Epoch: [17][50/5809] Time 0.171 (0.732) Data 0.113 (0.642) Loss 2.5770 (2.6098) Prec@1 37.891 (36.673) Prec@5 70.312 (67.195) Epoch: [17][60/5809] Time 6.996 (0.786) Data 6.936 (0.696) Loss 2.4097 (2.6036) Prec@1 37.891 (36.687) Prec@5 67.969 (67.098) Epoch: [17][70/5809] Time 0.340 (0.732) Data 0.281 (0.644) Loss 2.5723 (2.5986) Prec@1 37.500 (36.950) Prec@5 67.578 (67.270) Epoch: [17][80/5809] Time 1.452 (0.702) Data 1.386 (0.615) Loss 2.5716 (2.5922) Prec@1 35.547 (36.984) Prec@5 66.406 (67.303) Epoch: [17][90/5809] Time 0.141 (0.664) Data 0.001 (0.577) Loss 2.6490 (2.5855) Prec@1 34.766 (37.230) Prec@5 62.109 (67.368) Epoch: [17][100/5809] Time 1.112 (0.644) Data 1.051 (0.558) Loss 2.5875 (2.5877) Prec@1 35.156 (37.082) Prec@5 66.797 (67.427) Epoch: [17][110/5809] Time 0.252 (0.621) Data 0.191 (0.536) Loss 2.7906 (2.5894) Prec@1 33.594 (36.979) Prec@5 62.109 (67.356) Epoch: [17][120/5809] Time 0.514 (0.653) Data 0.453 (0.568) Loss 2.6747 (2.5822) Prec@1 31.250 (37.119) Prec@5 66.797 (67.501) Epoch: [17][130/5809] Time 0.134 (0.636) Data 0.001 (0.552) Loss 2.5707 (2.5792) Prec@1 37.891 (37.109) Prec@5 68.359 (67.638) Epoch: [17][140/5809] Time 0.389 (0.619) Data 0.328 (0.537) Loss 2.5604 (2.5784) Prec@1 39.453 (37.156) Prec@5 67.188 (67.625) Epoch: [17][150/5809] Time 0.264 (0.604) Data 0.203 (0.522) Loss 2.2901 (2.5756) Prec@1 39.062 (37.133) Prec@5 74.219 (67.695) Epoch: [17][160/5809] Time 0.732 (0.595) Data 0.673 (0.513) Loss 2.5125 (2.5764) Prec@1 38.672 (37.063) Prec@5 67.969 (67.675) Epoch: [17][170/5809] Time 0.226 (0.582) Data 0.168 (0.501) Loss 2.4793 (2.5767) Prec@1 39.844 (37.157) Prec@5 69.141 (67.722) Epoch: [17][180/5809] Time 0.277 (0.607) Data 0.218 (0.526) Loss 2.6791 (2.5790) Prec@1 35.547 (37.198) Prec@5 65.625 (67.693) Epoch: [17][190/5809] Time 0.134 (0.597) Data 0.001 (0.517) Loss 2.5865 (2.5775) Prec@1 35.938 (37.189) Prec@5 66.797 (67.729) Epoch: [17][200/5809] Time 0.233 (0.589) Data 0.171 (0.509) Loss 2.8099 (2.5790) Prec@1 31.250 (37.150) Prec@5 64.844 (67.706) Epoch: [17][210/5809] Time 0.255 (0.580) Data 0.197 (0.501) Loss 2.7860 (2.5796) Prec@1 35.547 (37.102) Prec@5 64.453 (67.719) Epoch: [17][220/5809] Time 0.133 (0.574) Data 0.001 (0.495) Loss 2.5749 (2.5801) Prec@1 36.719 (37.095) Prec@5 70.703 (67.718) Epoch: [17][230/5809] Time 0.309 (0.567) Data 0.250 (0.488) Loss 2.6718 (2.5842) Prec@1 35.156 (37.025) Prec@5 66.406 (67.666) Epoch: [17][240/5809] Time 0.133 (0.586) Data 0.012 (0.507) Loss 2.4683 (2.5861) Prec@1 41.016 (36.967) Prec@5 70.312 (67.617) Epoch: [17][250/5809] Time 0.372 (0.580) Data 0.311 (0.502) Loss 2.5012 (2.5868) Prec@1 38.672 (36.960) Prec@5 67.969 (67.580) Epoch: [17][260/5809] Time 0.134 (0.573) Data 0.001 (0.495) Loss 2.6684 (2.5880) Prec@1 37.109 (36.915) Prec@5 62.891 (67.532) Epoch: [17][270/5809] Time 0.133 (0.569) Data 0.001 (0.491) Loss 2.6087 (2.5900) Prec@1 34.766 (36.876) Prec@5 65.234 (67.425) Epoch: [17][280/5809] Time 0.359 (0.584) Data 0.299 (0.506) Loss 2.5425 (2.5902) Prec@1 38.281 (36.849) Prec@5 70.312 (67.431) Epoch: [17][290/5809] Time 0.184 (0.580) Data 0.117 (0.502) Loss 2.6937 (2.5896) Prec@1 32.422 (36.834) Prec@5 66.797 (67.422) Epoch: [17][300/5809] Time 0.124 (0.573) Data 0.053 (0.495) Loss 2.6726 (2.5914) Prec@1 35.547 (36.743) Prec@5 66.016 (67.381) Epoch: [17][310/5809] Time 0.133 (0.569) Data 0.001 (0.492) Loss 2.6904 (2.5914) Prec@1 33.203 (36.785) Prec@5 66.016 (67.409) Epoch: [17][320/5809] Time 0.370 (0.564) Data 0.312 (0.487) Loss 2.6845 (2.5917) Prec@1 35.938 (36.792) Prec@5 66.016 (67.370) Epoch: [17][330/5809] Time 0.263 (0.560) Data 0.205 (0.483) Loss 2.7118 (2.5923) Prec@1 33.203 (36.759) Prec@5 63.281 (67.343) Epoch: [17][340/5809] Time 0.643 (0.575) Data 0.584 (0.499) Loss 2.5214 (2.5932) Prec@1 40.234 (36.760) Prec@5 69.922 (67.316) Epoch: [17][350/5809] Time 0.134 (0.570) Data 0.006 (0.494) Loss 2.5230 (2.5922) Prec@1 37.500 (36.735) Prec@5 68.750 (67.336) Epoch: [17][360/5809] Time 0.542 (0.567) Data 0.482 (0.491) Loss 2.5366 (2.5933) Prec@1 37.891 (36.709) Prec@5 68.359 (67.300) Epoch: [17][370/5809] Time 0.658 (0.563) Data 0.599 (0.487) Loss 2.8109 (2.5944) Prec@1 32.812 (36.679) Prec@5 63.672 (67.281) Epoch: [17][380/5809] Time 5.878 (0.574) Data 5.816 (0.499) Loss 2.7309 (2.5944) Prec@1 36.719 (36.674) Prec@5 64.844 (67.283) Epoch: [17][390/5809] Time 0.944 (0.572) Data 0.881 (0.495) Loss 2.6339 (2.5944) Prec@1 35.938 (36.680) Prec@5 65.625 (67.284) Epoch: [17][400/5809] Time 0.529 (0.567) Data 0.469 (0.491) Loss 2.7283 (2.5956) Prec@1 30.859 (36.679) Prec@5 67.188 (67.249) Epoch: [17][410/5809] Time 0.529 (0.564) Data 0.471 (0.487) Loss 2.7660 (2.5961) Prec@1 31.250 (36.655) Prec@5 64.062 (67.245) Epoch: [17][420/5809] Time 0.555 (0.560) Data 0.497 (0.484) Loss 2.5513 (2.5962) Prec@1 37.891 (36.687) Prec@5 65.625 (67.236) Epoch: [17][430/5809] Time 0.237 (0.558) Data 0.178 (0.482) Loss 2.5969 (2.5968) Prec@1 34.375 (36.669) Prec@5 68.359 (67.238) Epoch: [17][440/5809] Time 0.132 (0.567) Data 0.043 (0.491) Loss 2.5954 (2.5969) Prec@1 33.594 (36.662) Prec@5 67.578 (67.254) Epoch: [17][450/5809] Time 0.128 (0.564) Data 0.051 (0.488) Loss 2.6092 (2.5967) Prec@1 36.328 (36.657) Prec@5 67.188 (67.273) Epoch: [17][460/5809] Time 0.484 (0.561) Data 0.425 (0.486) Loss 2.5016 (2.5969) Prec@1 38.672 (36.643) Prec@5 69.141 (67.277) Epoch: [17][470/5809] Time 0.356 (0.558) Data 0.296 (0.483) Loss 2.5978 (2.5968) Prec@1 36.719 (36.648) Prec@5 64.844 (67.279) Epoch: [17][480/5809] Time 0.661 (0.556) Data 0.601 (0.481) Loss 2.6991 (2.5960) Prec@1 35.547 (36.655) Prec@5 63.281 (67.299) Epoch: [17][490/5809] Time 0.131 (0.565) Data 0.046 (0.490) Loss 2.5801 (2.5964) Prec@1 39.844 (36.668) Prec@5 67.578 (67.311) Epoch: [17][500/5809] Time 0.787 (0.562) Data 0.727 (0.488) Loss 2.3767 (2.5969) Prec@1 39.844 (36.674) Prec@5 72.656 (67.295) Epoch: [17][510/5809] Time 0.134 (0.559) Data 0.001 (0.484) Loss 2.5705 (2.5963) Prec@1 39.453 (36.687) Prec@5 66.406 (67.297) Epoch: [17][520/5809] Time 1.324 (0.557) Data 1.265 (0.482) Loss 2.6153 (2.5974) Prec@1 35.938 (36.642) Prec@5 67.188 (67.258) Epoch: [17][530/5809] Time 0.133 (0.554) Data 0.001 (0.478) Loss 2.7560 (2.5982) Prec@1 30.078 (36.629) Prec@5 64.844 (67.249) Epoch: [17][540/5809] Time 1.727 (0.553) Data 1.668 (0.477) Loss 2.5609 (2.5988) Prec@1 35.938 (36.582) Prec@5 66.797 (67.234) Epoch: [17][550/5809] Time 0.133 (0.549) Data 0.052 (0.474) Loss 2.3878 (2.5986) Prec@1 40.234 (36.572) Prec@5 71.094 (67.244) Epoch: [17][560/5809] Time 0.836 (0.548) Data 0.777 (0.472) Loss 2.6527 (2.5990) Prec@1 36.328 (36.565) Prec@5 66.406 (67.250) Epoch: [17][570/5809] Time 0.133 (0.546) Data 0.001 (0.470) Loss 2.5963 (2.5989) Prec@1 34.766 (36.559) Prec@5 66.797 (67.250) Epoch: [17][580/5809] Time 0.758 (0.554) Data 0.695 (0.478) Loss 2.3607 (2.5982) Prec@1 42.188 (36.580) Prec@5 71.875 (67.268) Epoch: [17][590/5809] Time 0.133 (0.552) Data 0.018 (0.476) Loss 2.6559 (2.5981) Prec@1 33.203 (36.586) Prec@5 64.453 (67.264) Epoch: [17][600/5809] Time 0.847 (0.550) Data 0.788 (0.474) Loss 2.5218 (2.5979) Prec@1 36.719 (36.599) Prec@5 69.141 (67.271) Epoch: [17][610/5809] Time 0.133 (0.547) Data 0.001 (0.472) Loss 2.7636 (2.5987) Prec@1 33.203 (36.585) Prec@5 65.625 (67.269) Epoch: [17][620/5809] Time 1.213 (0.546) Data 1.153 (0.471) Loss 2.3885 (2.5977) Prec@1 36.328 (36.591) Prec@5 74.219 (67.291) Epoch: [17][630/5809] Time 0.132 (0.544) Data 0.052 (0.468) Loss 2.6841 (2.5983) Prec@1 36.719 (36.581) Prec@5 66.406 (67.290) Epoch: [17][640/5809] Time 1.030 (0.552) Data 0.971 (0.476) Loss 2.6637 (2.5988) Prec@1 35.547 (36.569) Prec@5 67.969 (67.283) Epoch: [17][650/5809] Time 0.269 (0.549) Data 0.200 (0.473) Loss 2.5835 (2.5989) Prec@1 38.672 (36.598) Prec@5 67.578 (67.282) Epoch: [17][660/5809] Time 0.484 (0.548) Data 0.426 (0.472) Loss 2.3620 (2.5987) Prec@1 40.625 (36.593) Prec@5 75.000 (67.292) Epoch: [17][670/5809] Time 0.449 (0.546) Data 0.387 (0.471) Loss 2.6693 (2.5982) Prec@1 34.375 (36.602) Prec@5 64.453 (67.306) Epoch: [17][680/5809] Time 0.322 (0.552) Data 0.263 (0.477) Loss 2.7237 (2.5988) Prec@1 40.234 (36.597) Prec@5 63.281 (67.292) Epoch: [17][690/5809] Time 0.440 (0.551) Data 0.380 (0.476) Loss 2.4526 (2.5987) Prec@1 43.359 (36.592) Prec@5 67.188 (67.291) Epoch: [17][700/5809] Time 0.368 (0.549) Data 0.307 (0.474) Loss 2.5804 (2.6006) Prec@1 37.891 (36.547) Prec@5 64.062 (67.248) Epoch: [17][710/5809] Time 0.747 (0.548) Data 0.685 (0.473) Loss 2.6357 (2.6003) Prec@1 36.328 (36.572) Prec@5 64.453 (67.253) Epoch: [17][720/5809] Time 0.602 (0.546) Data 0.544 (0.472) Loss 2.5561 (2.6004) Prec@1 35.156 (36.570) Prec@5 69.141 (67.265) Epoch: [17][730/5809] Time 0.723 (0.544) Data 0.663 (0.470) Loss 2.7288 (2.6016) Prec@1 35.156 (36.547) Prec@5 64.062 (67.229) Epoch: [17][740/5809] Time 0.565 (0.544) Data 0.506 (0.470) Loss 2.5488 (2.6014) Prec@1 37.500 (36.536) Prec@5 66.797 (67.224) Epoch: [17][750/5809] Time 0.993 (0.543) Data 0.932 (0.468) Loss 2.6871 (2.6012) Prec@1 35.547 (36.536) Prec@5 69.531 (67.228) Epoch: [17][760/5809] Time 0.249 (0.541) Data 0.187 (0.466) Loss 2.4854 (2.6011) Prec@1 37.109 (36.544) Prec@5 68.359 (67.233) Epoch: [17][770/5809] Time 1.225 (0.547) Data 1.166 (0.473) Loss 2.5611 (2.6008) Prec@1 37.500 (36.559) Prec@5 68.750 (67.241) Epoch: [17][780/5809] Time 0.149 (0.545) Data 0.090 (0.471) Loss 2.6387 (2.6009) Prec@1 35.938 (36.554) Prec@5 66.797 (67.249) Epoch: [17][790/5809] Time 1.229 (0.544) Data 1.171 (0.470) Loss 2.6054 (2.6004) Prec@1 35.156 (36.582) Prec@5 66.016 (67.250) Epoch: [17][800/5809] Time 0.303 (0.542) Data 0.235 (0.467) Loss 2.5412 (2.6000) Prec@1 37.500 (36.581) Prec@5 69.531 (67.251) Epoch: [17][810/5809] Time 0.576 (0.541) Data 0.518 (0.466) Loss 2.5814 (2.5998) Prec@1 33.984 (36.577) Prec@5 66.797 (67.248) Epoch: [17][820/5809] Time 0.568 (0.540) Data 0.510 (0.465) Loss 2.5454 (2.6000) Prec@1 41.797 (36.586) Prec@5 66.016 (67.235) Epoch: [17][830/5809] Time 0.892 (0.546) Data 0.830 (0.471) Loss 2.6249 (2.5989) Prec@1 37.500 (36.608) Prec@5 68.750 (67.266) Epoch: [17][840/5809] Time 0.359 (0.544) Data 0.300 (0.469) Loss 2.7295 (2.5989) Prec@1 33.984 (36.620) Prec@5 64.844 (67.264) Epoch: [17][850/5809] Time 1.056 (0.543) Data 0.989 (0.468) Loss 2.5720 (2.5990) Prec@1 33.984 (36.613) Prec@5 67.578 (67.255) Epoch: [17][860/5809] Time 0.167 (0.541) Data 0.106 (0.466) Loss 2.6307 (2.5994) Prec@1 34.766 (36.592) Prec@5 66.797 (67.245) Epoch: [17][870/5809] Time 0.584 (0.542) Data 0.526 (0.467) Loss 2.6587 (2.5998) Prec@1 34.766 (36.595) Prec@5 64.844 (67.223) Epoch: [17][880/5809] Time 1.739 (0.557) Data 1.681 (0.482) Loss 2.6102 (2.6002) Prec@1 33.594 (36.580) Prec@5 65.234 (67.205) Epoch: [17][890/5809] Time 0.616 (0.559) Data 0.559 (0.484) Loss 2.6708 (2.5998) Prec@1 36.719 (36.596) Prec@5 68.359 (67.223) Epoch: [17][900/5809] Time 0.276 (0.557) Data 0.215 (0.482) Loss 2.5994 (2.5998) Prec@1 32.812 (36.594) Prec@5 67.188 (67.227) Epoch: [17][910/5809] Time 0.617 (0.556) Data 0.553 (0.482) Loss 2.3707 (2.5996) Prec@1 39.062 (36.587) Prec@5 73.047 (67.232) Epoch: [17][920/5809] Time 0.361 (0.554) Data 0.303 (0.480) Loss 2.5651 (2.6002) Prec@1 38.281 (36.592) Prec@5 67.578 (67.224) Epoch: [17][930/5809] Time 0.633 (0.554) Data 0.573 (0.479) Loss 2.6995 (2.6008) Prec@1 36.328 (36.584) Prec@5 65.625 (67.210) Epoch: [17][940/5809] Time 0.333 (0.552) Data 0.273 (0.478) Loss 2.8675 (2.6007) Prec@1 33.203 (36.584) Prec@5 64.062 (67.219) Epoch: [17][950/5809] Time 0.131 (0.551) Data 0.044 (0.477) Loss 2.6441 (2.6010) Prec@1 35.938 (36.585) Prec@5 64.062 (67.204) Epoch: [17][960/5809] Time 0.133 (0.550) Data 0.001 (0.476) Loss 2.6804 (2.6014) Prec@1 33.984 (36.572) Prec@5 68.359 (67.196) Epoch: [17][970/5809] Time 0.138 (0.549) Data 0.047 (0.475) Loss 2.6252 (2.6012) Prec@1 37.109 (36.580) Prec@5 64.453 (67.198) Epoch: [17][980/5809] Time 0.134 (0.547) Data 0.001 (0.473) Loss 2.5572 (2.6007) Prec@1 37.109 (36.583) Prec@5 65.234 (67.195) Epoch: [17][990/5809] Time 0.327 (0.546) Data 0.267 (0.472) Loss 2.4634 (2.6009) Prec@1 37.891 (36.576) Prec@5 68.359 (67.195) Epoch: [17][1000/5809] Time 0.264 (0.561) Data 0.205 (0.486) Loss 2.4688 (2.6011) Prec@1 42.969 (36.572) Prec@5 69.531 (67.180) Epoch: [17][1010/5809] Time 0.133 (0.560) Data 0.001 (0.485) Loss 2.7433 (2.6009) Prec@1 34.375 (36.588) Prec@5 64.453 (67.184) Epoch: [17][1020/5809] Time 0.124 (0.558) Data 0.046 (0.484) Loss 2.6734 (2.6004) Prec@1 40.625 (36.613) Prec@5 63.672 (67.184) Epoch: [17][1030/5809] Time 0.146 (0.560) Data 0.085 (0.486) Loss 2.7006 (2.6006) Prec@1 37.109 (36.608) Prec@5 63.672 (67.185) Epoch: [17][1040/5809] Time 0.132 (0.559) Data 0.046 (0.484) Loss 2.8667 (2.6007) Prec@1 31.250 (36.602) Prec@5 62.891 (67.186) Epoch: [17][1050/5809] Time 0.282 (0.558) Data 0.223 (0.483) Loss 2.7185 (2.6006) Prec@1 33.203 (36.586) Prec@5 62.500 (67.183) Epoch: [17][1060/5809] Time 0.133 (0.557) Data 0.068 (0.482) Loss 2.4986 (2.6002) Prec@1 33.984 (36.595) Prec@5 68.359 (67.192) Epoch: [17][1070/5809] Time 0.372 (0.556) Data 0.312 (0.481) Loss 2.4895 (2.6002) Prec@1 42.578 (36.599) Prec@5 68.750 (67.192) Epoch: [17][1080/5809] Time 0.292 (0.555) Data 0.234 (0.480) Loss 2.6948 (2.6003) Prec@1 37.109 (36.599) Prec@5 67.188 (67.193) Epoch: [17][1090/5809] Time 0.348 (0.554) Data 0.290 (0.479) Loss 2.5022 (2.6002) Prec@1 37.500 (36.602) Prec@5 72.656 (67.202) Epoch: [17][1100/5809] Time 0.464 (0.553) Data 0.406 (0.479) Loss 2.6234 (2.5997) Prec@1 31.250 (36.617) Prec@5 66.797 (67.208) Epoch: [17][1110/5809] Time 0.263 (0.552) Data 0.204 (0.477) Loss 2.5668 (2.6000) Prec@1 36.719 (36.606) Prec@5 67.578 (67.196) Epoch: [17][1120/5809] Time 0.657 (0.551) Data 0.598 (0.477) Loss 2.6763 (2.5998) Prec@1 35.156 (36.612) Prec@5 64.453 (67.199) Epoch: [17][1130/5809] Time 0.293 (0.550) Data 0.235 (0.476) Loss 2.3986 (2.5998) Prec@1 41.406 (36.614) Prec@5 72.656 (67.202) Epoch: [17][1140/5809] Time 0.635 (0.549) Data 0.577 (0.475) Loss 2.5662 (2.6004) Prec@1 38.672 (36.610) Prec@5 66.016 (67.190) Epoch: [17][1150/5809] Time 0.136 (0.548) Data 0.001 (0.474) Loss 2.7785 (2.6007) Prec@1 33.594 (36.602) Prec@5 64.453 (67.185) Epoch: [17][1160/5809] Time 0.705 (0.547) Data 0.639 (0.473) Loss 2.6630 (2.6006) Prec@1 35.938 (36.602) Prec@5 65.625 (67.186) Epoch: [17][1170/5809] Time 0.134 (0.546) Data 0.001 (0.472) Loss 2.6089 (2.6005) Prec@1 33.594 (36.597) Prec@5 66.797 (67.195) Epoch: [17][1180/5809] Time 0.687 (0.545) Data 0.628 (0.471) Loss 2.8792 (2.6002) Prec@1 35.156 (36.596) Prec@5 61.328 (67.202) Epoch: [17][1190/5809] Time 0.224 (0.544) Data 0.165 (0.470) Loss 2.6080 (2.6001) Prec@1 37.891 (36.594) Prec@5 65.234 (67.205) Epoch: [17][1200/5809] Time 0.784 (0.543) Data 0.726 (0.470) Loss 2.6444 (2.5995) Prec@1 33.984 (36.609) Prec@5 62.891 (67.218) Epoch: [17][1210/5809] Time 0.140 (0.542) Data 0.081 (0.468) Loss 2.6127 (2.5997) Prec@1 33.203 (36.605) Prec@5 67.969 (67.210) Epoch: [17][1220/5809] Time 1.067 (0.542) Data 1.009 (0.468) Loss 2.6429 (2.5996) Prec@1 33.984 (36.607) Prec@5 64.844 (67.206) Epoch: [17][1230/5809] Time 0.133 (0.540) Data 0.045 (0.467) Loss 2.7001 (2.5996) Prec@1 30.469 (36.606) Prec@5 66.797 (67.202) Epoch: [17][1240/5809] Time 0.738 (0.540) Data 0.680 (0.466) Loss 2.3927 (2.5992) Prec@1 40.234 (36.609) Prec@5 71.094 (67.210) Epoch: [17][1250/5809] Time 0.166 (0.539) Data 0.107 (0.465) Loss 2.5572 (2.5989) Prec@1 38.672 (36.623) Prec@5 69.922 (67.220) Epoch: [17][1260/5809] Time 0.860 (0.538) Data 0.802 (0.465) Loss 2.5038 (2.5992) Prec@1 36.328 (36.621) Prec@5 67.188 (67.221) Epoch: [17][1270/5809] Time 0.330 (0.537) Data 0.271 (0.464) Loss 2.3827 (2.5992) Prec@1 39.453 (36.621) Prec@5 69.922 (67.221) Epoch: [17][1280/5809] Time 0.458 (0.536) Data 0.400 (0.463) Loss 2.6179 (2.5990) Prec@1 39.062 (36.629) Prec@5 66.797 (67.219) Epoch: [17][1290/5809] Time 0.275 (0.535) Data 0.217 (0.462) Loss 2.4438 (2.5990) Prec@1 39.453 (36.631) Prec@5 69.922 (67.218) Epoch: [17][1300/5809] Time 0.487 (0.535) Data 0.427 (0.462) Loss 2.6814 (2.5993) Prec@1 37.891 (36.631) Prec@5 66.797 (67.214) Epoch: [17][1310/5809] Time 0.536 (0.534) Data 0.476 (0.461) Loss 2.6137 (2.5987) Prec@1 39.453 (36.646) Prec@5 64.844 (67.226) Epoch: [17][1320/5809] Time 0.644 (0.533) Data 0.585 (0.460) Loss 2.8610 (2.5989) Prec@1 33.594 (36.646) Prec@5 63.672 (67.222) Epoch: [17][1330/5809] Time 0.447 (0.532) Data 0.387 (0.460) Loss 2.5655 (2.5994) Prec@1 40.625 (36.640) Prec@5 66.406 (67.218) Epoch: [17][1340/5809] Time 0.966 (0.532) Data 0.908 (0.459) Loss 2.5044 (2.5992) Prec@1 33.594 (36.642) Prec@5 71.484 (67.232) Epoch: [17][1350/5809] Time 0.332 (0.531) Data 0.274 (0.458) Loss 2.5668 (2.5989) Prec@1 40.625 (36.649) Prec@5 67.188 (67.236) Epoch: [17][1360/5809] Time 1.149 (0.531) Data 1.086 (0.458) Loss 2.6787 (2.5991) Prec@1 38.672 (36.646) Prec@5 63.281 (67.230) Epoch: [17][1370/5809] Time 0.166 (0.530) Data 0.107 (0.457) Loss 2.4889 (2.5989) Prec@1 36.719 (36.650) Prec@5 72.266 (67.238) Epoch: [17][1380/5809] Time 0.741 (0.529) Data 0.683 (0.456) Loss 2.7719 (2.5991) Prec@1 34.375 (36.649) Prec@5 61.328 (67.230) Epoch: [17][1390/5809] Time 0.131 (0.528) Data 0.001 (0.455) Loss 2.6941 (2.5995) Prec@1 35.938 (36.641) Prec@5 65.625 (67.214) Epoch: [17][1400/5809] Time 0.822 (0.528) Data 0.763 (0.455) Loss 2.4330 (2.5990) Prec@1 36.719 (36.652) Prec@5 71.094 (67.221) Epoch: [17][1410/5809] Time 0.162 (0.527) Data 0.094 (0.454) Loss 2.7460 (2.5991) Prec@1 37.109 (36.653) Prec@5 65.625 (67.219) Epoch: [17][1420/5809] Time 1.113 (0.527) Data 1.055 (0.454) Loss 2.7113 (2.5992) Prec@1 35.547 (36.653) Prec@5 64.844 (67.212) Epoch: [17][1430/5809] Time 0.133 (0.526) Data 0.001 (0.453) Loss 2.6028 (2.5993) Prec@1 36.719 (36.657) Prec@5 62.500 (67.207) Epoch: [17][1440/5809] Time 1.300 (0.526) Data 1.241 (0.452) Loss 2.5072 (2.5995) Prec@1 37.891 (36.652) Prec@5 66.016 (67.205) Epoch: [17][1450/5809] Time 0.132 (0.525) Data 0.001 (0.451) Loss 2.3653 (2.5995) Prec@1 40.625 (36.644) Prec@5 72.656 (67.204) Epoch: [17][1460/5809] Time 1.246 (0.524) Data 1.180 (0.451) Loss 2.6383 (2.5995) Prec@1 32.422 (36.642) Prec@5 69.531 (67.205) Epoch: [17][1470/5809] Time 0.133 (0.523) Data 0.001 (0.450) Loss 2.8032 (2.5997) Prec@1 30.469 (36.635) Prec@5 63.281 (67.201) Epoch: [17][1480/5809] Time 1.339 (0.523) Data 1.279 (0.449) Loss 2.3976 (2.5997) Prec@1 37.891 (36.649) Prec@5 73.828 (67.201) Epoch: [17][1490/5809] Time 0.132 (0.522) Data 0.073 (0.448) Loss 2.7880 (2.5998) Prec@1 35.938 (36.655) Prec@5 62.109 (67.198) Epoch: [17][1500/5809] Time 1.321 (0.522) Data 1.261 (0.448) Loss 2.4597 (2.5996) Prec@1 37.891 (36.655) Prec@5 71.094 (67.199) Epoch: [17][1510/5809] Time 0.134 (0.521) Data 0.062 (0.447) Loss 2.4309 (2.5995) Prec@1 42.188 (36.659) Prec@5 72.266 (67.208) Epoch: [17][1520/5809] Time 1.208 (0.521) Data 1.150 (0.447) Loss 2.6709 (2.5999) Prec@1 33.203 (36.652) Prec@5 64.062 (67.198) Epoch: [17][1530/5809] Time 0.142 (0.520) Data 0.001 (0.446) Loss 2.5511 (2.5998) Prec@1 35.156 (36.653) Prec@5 68.750 (67.208) Epoch: [17][1540/5809] Time 1.172 (0.520) Data 1.114 (0.445) Loss 2.8399 (2.5999) Prec@1 30.859 (36.655) Prec@5 62.109 (67.206) Epoch: [17][1550/5809] Time 0.289 (0.519) Data 0.230 (0.444) Loss 2.6372 (2.5999) Prec@1 33.984 (36.654) Prec@5 69.922 (67.204) Epoch: [17][1560/5809] Time 0.783 (0.518) Data 0.725 (0.444) Loss 2.5163 (2.5999) Prec@1 39.844 (36.659) Prec@5 68.359 (67.205) Epoch: [17][1570/5809] Time 0.271 (0.518) Data 0.209 (0.443) Loss 2.7041 (2.5998) Prec@1 30.859 (36.654) Prec@5 66.016 (67.203) Epoch: [17][1580/5809] Time 0.700 (0.517) Data 0.642 (0.443) Loss 2.8267 (2.6001) Prec@1 35.547 (36.653) Prec@5 62.109 (67.196) Epoch: [17][1590/5809] Time 0.292 (0.517) Data 0.233 (0.443) Loss 2.6515 (2.6001) Prec@1 35.156 (36.653) Prec@5 66.016 (67.195) Epoch: [17][1600/5809] Time 0.633 (0.516) Data 0.575 (0.442) Loss 2.7449 (2.6003) Prec@1 32.812 (36.650) Prec@5 62.891 (67.189) Epoch: [17][1610/5809] Time 0.146 (0.516) Data 0.088 (0.442) Loss 2.4375 (2.6002) Prec@1 41.016 (36.653) Prec@5 69.141 (67.191) Epoch: [17][1620/5809] Time 1.002 (0.515) Data 0.944 (0.442) Loss 2.6251 (2.5997) Prec@1 35.938 (36.662) Prec@5 66.406 (67.199) Epoch: [17][1630/5809] Time 0.133 (0.515) Data 0.044 (0.441) Loss 2.7656 (2.5999) Prec@1 36.328 (36.656) Prec@5 62.109 (67.195) Epoch: [17][1640/5809] Time 0.687 (0.514) Data 0.628 (0.440) Loss 2.7588 (2.5999) Prec@1 33.984 (36.657) Prec@5 60.547 (67.192) Epoch: [17][1650/5809] Time 0.471 (0.514) Data 0.412 (0.440) Loss 2.5971 (2.6001) Prec@1 36.328 (36.654) Prec@5 65.625 (67.185) Epoch: [17][1660/5809] Time 1.088 (0.514) Data 1.030 (0.440) Loss 2.6641 (2.6005) Prec@1 32.031 (36.644) Prec@5 67.578 (67.171) Epoch: [17][1670/5809] Time 0.127 (0.513) Data 0.049 (0.439) Loss 2.4396 (2.6001) Prec@1 40.234 (36.653) Prec@5 73.828 (67.191) Epoch: [17][1680/5809] Time 1.130 (0.513) Data 1.072 (0.439) Loss 2.7890 (2.6001) Prec@1 33.203 (36.654) Prec@5 61.719 (67.189) Epoch: [17][1690/5809] Time 0.371 (0.512) Data 0.305 (0.438) Loss 2.6223 (2.6000) Prec@1 34.375 (36.650) Prec@5 65.234 (67.187) Epoch: [17][1700/5809] Time 0.949 (0.512) Data 0.890 (0.438) Loss 2.7289 (2.6005) Prec@1 33.594 (36.639) Prec@5 63.281 (67.174) Epoch: [17][1710/5809] Time 0.131 (0.511) Data 0.057 (0.437) Loss 2.7317 (2.6009) Prec@1 34.375 (36.625) Prec@5 65.625 (67.169) Epoch: [17][1720/5809] Time 0.884 (0.511) Data 0.824 (0.437) Loss 2.9022 (2.6013) Prec@1 32.812 (36.625) Prec@5 61.328 (67.162) Epoch: [17][1730/5809] Time 0.132 (0.510) Data 0.046 (0.436) Loss 2.5391 (2.6011) Prec@1 37.891 (36.627) Prec@5 69.922 (67.163) Epoch: [17][1740/5809] Time 0.767 (0.509) Data 0.708 (0.436) Loss 2.6300 (2.6009) Prec@1 33.984 (36.632) Prec@5 68.359 (67.168) Epoch: [17][1750/5809] Time 0.133 (0.509) Data 0.050 (0.435) Loss 2.6179 (2.6008) Prec@1 36.719 (36.629) Prec@5 66.797 (67.173) Epoch: [17][1760/5809] Time 1.098 (0.508) Data 1.039 (0.435) Loss 2.6792 (2.6011) Prec@1 35.547 (36.631) Prec@5 64.844 (67.166) Epoch: [17][1770/5809] Time 0.134 (0.507) Data 0.001 (0.434) Loss 2.6373 (2.6010) Prec@1 37.109 (36.628) Prec@5 66.016 (67.168) Epoch: [17][1780/5809] Time 0.908 (0.507) Data 0.850 (0.433) Loss 2.4286 (2.6008) Prec@1 39.844 (36.629) Prec@5 67.578 (67.170) Epoch: [17][1790/5809] Time 0.141 (0.506) Data 0.001 (0.432) Loss 2.6659 (2.6008) Prec@1 40.234 (36.634) Prec@5 66.797 (67.168) Epoch: [17][1800/5809] Time 1.048 (0.506) Data 0.990 (0.432) Loss 2.6181 (2.6012) Prec@1 33.594 (36.631) Prec@5 66.406 (67.157) Epoch: [17][1810/5809] Time 0.132 (0.505) Data 0.001 (0.431) Loss 2.6129 (2.6011) Prec@1 32.812 (36.631) Prec@5 66.016 (67.155) Epoch: [17][1820/5809] Time 1.171 (0.505) Data 1.111 (0.431) Loss 2.6442 (2.6015) Prec@1 36.719 (36.618) Prec@5 67.578 (67.151) Epoch: [17][1830/5809] Time 0.128 (0.504) Data 0.047 (0.430) Loss 2.7056 (2.6017) Prec@1 32.812 (36.614) Prec@5 67.578 (67.149) Epoch: [17][1840/5809] Time 1.028 (0.504) Data 0.969 (0.429) Loss 2.6228 (2.6016) Prec@1 35.547 (36.613) Prec@5 66.797 (67.148) Epoch: [17][1850/5809] Time 0.132 (0.503) Data 0.044 (0.428) Loss 2.6026 (2.6019) Prec@1 39.453 (36.607) Prec@5 67.188 (67.144) Epoch: [17][1860/5809] Time 1.068 (0.502) Data 1.009 (0.428) Loss 2.6762 (2.6021) Prec@1 33.594 (36.603) Prec@5 64.844 (67.138) Epoch: [17][1870/5809] Time 0.220 (0.502) Data 0.161 (0.427) Loss 2.7945 (2.6022) Prec@1 32.031 (36.605) Prec@5 62.500 (67.134) Epoch: [17][1880/5809] Time 0.726 (0.501) Data 0.668 (0.426) Loss 2.6616 (2.6025) Prec@1 39.844 (36.600) Prec@5 65.625 (67.128) Epoch: [17][1890/5809] Time 0.475 (0.501) Data 0.414 (0.426) Loss 2.7007 (2.6026) Prec@1 34.375 (36.597) Prec@5 64.453 (67.123) Epoch: [17][1900/5809] Time 0.655 (0.500) Data 0.594 (0.425) Loss 2.5798 (2.6027) Prec@1 37.891 (36.600) Prec@5 66.016 (67.119) Epoch: [17][1910/5809] Time 0.573 (0.500) Data 0.513 (0.425) Loss 2.6148 (2.6030) Prec@1 35.156 (36.596) Prec@5 69.141 (67.114) Epoch: [17][1920/5809] Time 0.855 (0.499) Data 0.796 (0.425) Loss 2.6123 (2.6029) Prec@1 37.500 (36.602) Prec@5 64.844 (67.115) Epoch: [17][1930/5809] Time 0.722 (0.499) Data 0.664 (0.424) Loss 2.5084 (2.6031) Prec@1 32.031 (36.595) Prec@5 71.875 (67.111) Epoch: [17][1940/5809] Time 0.460 (0.498) Data 0.402 (0.423) Loss 2.6588 (2.6035) Prec@1 33.203 (36.588) Prec@5 66.406 (67.105) Epoch: [17][1950/5809] Time 0.644 (0.498) Data 0.586 (0.423) Loss 2.8859 (2.6036) Prec@1 25.781 (36.585) Prec@5 64.062 (67.103) Epoch: [17][1960/5809] Time 0.387 (0.497) Data 0.329 (0.423) Loss 2.3949 (2.6034) Prec@1 42.578 (36.588) Prec@5 71.484 (67.105) Epoch: [17][1970/5809] Time 0.923 (0.497) Data 0.864 (0.422) Loss 2.6021 (2.6035) Prec@1 39.453 (36.587) Prec@5 69.531 (67.101) Epoch: [17][1980/5809] Time 0.376 (0.496) Data 0.318 (0.422) Loss 2.7031 (2.6037) Prec@1 33.984 (36.582) Prec@5 65.625 (67.095) Epoch: [17][1990/5809] Time 1.132 (0.496) Data 1.072 (0.422) Loss 2.7027 (2.6040) Prec@1 33.594 (36.574) Prec@5 65.234 (67.087) Epoch: [17][2000/5809] Time 0.140 (0.495) Data 0.054 (0.421) Loss 2.6200 (2.6040) Prec@1 40.234 (36.573) Prec@5 65.625 (67.084) Epoch: [17][2010/5809] Time 1.177 (0.495) Data 1.112 (0.421) Loss 2.5078 (2.6040) Prec@1 40.234 (36.581) Prec@5 67.969 (67.082) Epoch: [17][2020/5809] Time 0.135 (0.494) Data 0.057 (0.420) Loss 2.6715 (2.6038) Prec@1 31.641 (36.580) Prec@5 66.406 (67.087) Epoch: [17][2030/5809] Time 1.036 (0.494) Data 0.976 (0.419) Loss 2.6057 (2.6038) Prec@1 38.281 (36.584) Prec@5 65.234 (67.084) Epoch: [17][2040/5809] Time 0.133 (0.493) Data 0.044 (0.419) Loss 2.5654 (2.6036) Prec@1 37.109 (36.582) Prec@5 71.484 (67.087) Epoch: [17][2050/5809] Time 1.013 (0.493) Data 0.949 (0.419) Loss 2.4840 (2.6035) Prec@1 38.281 (36.585) Prec@5 67.188 (67.087) Epoch: [17][2060/5809] Time 0.486 (0.493) Data 0.426 (0.418) Loss 2.4767 (2.6032) Prec@1 40.625 (36.592) Prec@5 68.359 (67.093) Epoch: [17][2070/5809] Time 0.909 (0.492) Data 0.850 (0.418) Loss 2.6058 (2.6032) Prec@1 33.203 (36.591) Prec@5 67.578 (67.090) Epoch: [17][2080/5809] Time 0.133 (0.492) Data 0.046 (0.417) Loss 2.7291 (2.6033) Prec@1 32.812 (36.590) Prec@5 63.672 (67.089) Epoch: [17][2090/5809] Time 0.794 (0.491) Data 0.736 (0.417) Loss 2.5540 (2.6036) Prec@1 33.984 (36.581) Prec@5 70.703 (67.081) Epoch: [17][2100/5809] Time 0.132 (0.491) Data 0.053 (0.416) Loss 2.4346 (2.6036) Prec@1 42.188 (36.587) Prec@5 69.922 (67.082) Epoch: [17][2110/5809] Time 0.578 (0.490) Data 0.518 (0.416) Loss 2.6068 (2.6037) Prec@1 34.766 (36.583) Prec@5 63.281 (67.083) Epoch: [17][2120/5809] Time 0.163 (0.490) Data 0.102 (0.416) Loss 2.2358 (2.6034) Prec@1 42.969 (36.586) Prec@5 75.000 (67.096) Epoch: [17][2130/5809] Time 0.576 (0.490) Data 0.512 (0.415) Loss 2.6252 (2.6032) Prec@1 36.719 (36.588) Prec@5 64.062 (67.099) Epoch: [17][2140/5809] Time 0.133 (0.489) Data 0.047 (0.415) Loss 2.5596 (2.6032) Prec@1 35.547 (36.590) Prec@5 67.969 (67.100) Epoch: [17][2150/5809] Time 0.710 (0.489) Data 0.645 (0.415) Loss 2.6107 (2.6031) Prec@1 38.281 (36.591) Prec@5 66.406 (67.100) Epoch: [17][2160/5809] Time 0.399 (0.488) Data 0.340 (0.414) Loss 2.5770 (2.6031) Prec@1 41.797 (36.591) Prec@5 68.750 (67.103) Epoch: [17][2170/5809] Time 0.471 (0.488) Data 0.413 (0.414) Loss 2.5713 (2.6033) Prec@1 37.109 (36.589) Prec@5 66.797 (67.096) Epoch: [17][2180/5809] Time 0.537 (0.488) Data 0.480 (0.413) Loss 2.7923 (2.6034) Prec@1 31.250 (36.584) Prec@5 63.672 (67.095) Epoch: [17][2190/5809] Time 0.613 (0.487) Data 0.554 (0.413) Loss 2.4482 (2.6033) Prec@1 36.719 (36.584) Prec@5 67.969 (67.097) Epoch: [17][2200/5809] Time 0.525 (0.487) Data 0.465 (0.413) Loss 2.7857 (2.6038) Prec@1 35.547 (36.574) Prec@5 61.328 (67.085) Epoch: [17][2210/5809] Time 0.543 (0.486) Data 0.485 (0.412) Loss 2.7725 (2.6038) Prec@1 34.766 (36.576) Prec@5 62.891 (67.084) Epoch: [17][2220/5809] Time 0.614 (0.486) Data 0.556 (0.412) Loss 2.6365 (2.6040) Prec@1 38.281 (36.573) Prec@5 64.062 (67.079) Epoch: [17][2230/5809] Time 0.488 (0.486) Data 0.430 (0.412) Loss 2.6354 (2.6041) Prec@1 35.156 (36.567) Prec@5 66.016 (67.080) Epoch: [17][2240/5809] Time 0.892 (0.485) Data 0.828 (0.411) Loss 2.4478 (2.6041) Prec@1 34.766 (36.562) Prec@5 71.875 (67.082) Epoch: [17][2250/5809] Time 0.395 (0.485) Data 0.337 (0.411) Loss 2.3545 (2.6042) Prec@1 38.672 (36.559) Prec@5 73.438 (67.077) Epoch: [17][2260/5809] Time 0.749 (0.485) Data 0.691 (0.411) Loss 2.7301 (2.6041) Prec@1 36.328 (36.560) Prec@5 66.797 (67.076) Epoch: [17][2270/5809] Time 0.355 (0.484) Data 0.296 (0.410) Loss 2.7357 (2.6043) Prec@1 32.422 (36.561) Prec@5 63.281 (67.074) Epoch: [17][2280/5809] Time 0.585 (0.484) Data 0.528 (0.410) Loss 2.6666 (2.6044) Prec@1 35.938 (36.561) Prec@5 66.406 (67.075) Epoch: [17][2290/5809] Time 0.206 (0.483) Data 0.148 (0.410) Loss 2.7618 (2.6046) Prec@1 33.203 (36.556) Prec@5 62.500 (67.072) Epoch: [17][2300/5809] Time 0.585 (0.483) Data 0.527 (0.409) Loss 2.5271 (2.6048) Prec@1 39.453 (36.554) Prec@5 67.969 (67.066) Epoch: [17][2310/5809] Time 0.517 (0.483) Data 0.458 (0.409) Loss 2.8200 (2.6047) Prec@1 32.422 (36.547) Prec@5 65.234 (67.066) Epoch: [17][2320/5809] Time 0.564 (0.482) Data 0.507 (0.409) Loss 2.5959 (2.6045) Prec@1 36.328 (36.556) Prec@5 64.844 (67.072) Epoch: [17][2330/5809] Time 0.392 (0.482) Data 0.334 (0.409) Loss 2.5657 (2.6045) Prec@1 41.406 (36.561) Prec@5 68.750 (67.071) Epoch: [17][2340/5809] Time 0.389 (0.482) Data 0.331 (0.408) Loss 2.6816 (2.6048) Prec@1 31.641 (36.558) Prec@5 62.500 (67.060) Epoch: [17][2350/5809] Time 0.169 (0.481) Data 0.110 (0.408) Loss 2.7619 (2.6052) Prec@1 34.766 (36.550) Prec@5 62.109 (67.050) Epoch: [17][2360/5809] Time 0.416 (0.481) Data 0.357 (0.408) Loss 2.5343 (2.6052) Prec@1 38.281 (36.553) Prec@5 68.359 (67.049) Epoch: [17][2370/5809] Time 0.487 (0.481) Data 0.428 (0.407) Loss 2.5219 (2.6053) Prec@1 39.844 (36.551) Prec@5 69.531 (67.053) Epoch: [17][2380/5809] Time 0.152 (0.480) Data 0.094 (0.407) Loss 2.7453 (2.6055) Prec@1 30.859 (36.544) Prec@5 65.234 (67.048) Epoch: [17][2390/5809] Time 0.130 (0.480) Data 0.052 (0.407) Loss 2.5957 (2.6056) Prec@1 36.328 (36.540) Prec@5 65.625 (67.045) Epoch: [17][2400/5809] Time 0.172 (0.479) Data 0.113 (0.406) Loss 2.4475 (2.6054) Prec@1 40.625 (36.545) Prec@5 68.750 (67.048) Epoch: [17][2410/5809] Time 0.139 (0.479) Data 0.067 (0.406) Loss 2.5477 (2.6052) Prec@1 39.844 (36.553) Prec@5 69.922 (67.053) Epoch: [17][2420/5809] Time 0.132 (0.479) Data 0.001 (0.406) Loss 2.5310 (2.6052) Prec@1 38.672 (36.553) Prec@5 70.312 (67.054) Epoch: [17][2430/5809] Time 0.161 (0.479) Data 0.103 (0.405) Loss 2.4655 (2.6052) Prec@1 41.797 (36.559) Prec@5 70.703 (67.056) Epoch: [17][2440/5809] Time 0.133 (0.478) Data 0.001 (0.405) Loss 2.8040 (2.6056) Prec@1 32.031 (36.551) Prec@5 62.891 (67.047) Epoch: [17][2450/5809] Time 0.131 (0.478) Data 0.001 (0.405) Loss 2.6909 (2.6054) Prec@1 35.547 (36.558) Prec@5 65.234 (67.049) Epoch: [17][2460/5809] Time 0.133 (0.478) Data 0.001 (0.404) Loss 2.4569 (2.6055) Prec@1 36.328 (36.551) Prec@5 70.312 (67.047) Epoch: [17][2470/5809] Time 0.133 (0.478) Data 0.001 (0.404) Loss 2.7967 (2.6056) Prec@1 32.422 (36.553) Prec@5 64.062 (67.046) Epoch: [17][2480/5809] Time 0.137 (0.477) Data 0.077 (0.403) Loss 2.8458 (2.6054) Prec@1 28.516 (36.553) Prec@5 60.547 (67.048) Epoch: [17][2490/5809] Time 0.259 (0.477) Data 0.199 (0.403) Loss 2.7204 (2.6054) Prec@1 36.719 (36.553) Prec@5 63.281 (67.047) Epoch: [17][2500/5809] Time 0.297 (0.476) Data 0.239 (0.403) Loss 2.5598 (2.6052) Prec@1 40.234 (36.556) Prec@5 67.969 (67.049) Epoch: [17][2510/5809] Time 0.145 (0.476) Data 0.079 (0.402) Loss 2.5088 (2.6052) Prec@1 37.500 (36.552) Prec@5 70.703 (67.051) Epoch: [17][2520/5809] Time 0.265 (0.476) Data 0.206 (0.402) Loss 2.5153 (2.6053) Prec@1 39.062 (36.555) Prec@5 66.797 (67.049) Epoch: [17][2530/5809] Time 0.134 (0.476) Data 0.001 (0.402) Loss 2.6012 (2.6051) Prec@1 39.062 (36.559) Prec@5 68.359 (67.050) Epoch: [17][2540/5809] Time 0.188 (0.475) Data 0.128 (0.401) Loss 2.5078 (2.6053) Prec@1 34.375 (36.549) Prec@5 71.875 (67.047) Epoch: [17][2550/5809] Time 0.134 (0.475) Data 0.001 (0.401) Loss 2.6090 (2.6056) Prec@1 36.328 (36.544) Prec@5 67.969 (67.043) Epoch: [17][2560/5809] Time 0.240 (0.475) Data 0.182 (0.401) Loss 2.4052 (2.6055) Prec@1 36.328 (36.543) Prec@5 71.094 (67.045) Epoch: [17][2570/5809] Time 0.180 (0.474) Data 0.121 (0.400) Loss 2.7248 (2.6056) Prec@1 31.641 (36.536) Prec@5 64.453 (67.043) Epoch: [17][2580/5809] Time 0.331 (0.474) Data 0.272 (0.400) Loss 2.6888 (2.6059) Prec@1 35.938 (36.536) Prec@5 60.938 (67.037) Epoch: [17][2590/5809] Time 0.422 (0.474) Data 0.363 (0.400) Loss 2.6907 (2.6060) Prec@1 37.109 (36.537) Prec@5 67.578 (67.039) Epoch: [17][2600/5809] Time 0.321 (0.473) Data 0.262 (0.399) Loss 2.5166 (2.6058) Prec@1 38.672 (36.544) Prec@5 67.188 (67.038) Epoch: [17][2610/5809] Time 0.127 (0.473) Data 0.046 (0.399) Loss 2.6643 (2.6057) Prec@1 34.375 (36.546) Prec@5 64.062 (67.038) Epoch: [17][2620/5809] Time 0.207 (0.473) Data 0.149 (0.399) Loss 2.5304 (2.6057) Prec@1 41.016 (36.550) Prec@5 69.922 (67.043) Epoch: [17][2630/5809] Time 0.128 (0.473) Data 0.051 (0.399) Loss 2.7269 (2.6057) Prec@1 36.719 (36.549) Prec@5 66.406 (67.042) Epoch: [17][2640/5809] Time 0.137 (0.472) Data 0.077 (0.398) Loss 2.5303 (2.6058) Prec@1 37.109 (36.543) Prec@5 67.188 (67.037) Epoch: [17][2650/5809] Time 0.302 (0.472) Data 0.244 (0.398) Loss 2.4336 (2.6059) Prec@1 40.625 (36.543) Prec@5 68.750 (67.035) Epoch: [17][2660/5809] Time 0.133 (0.472) Data 0.001 (0.398) Loss 2.6750 (2.6059) Prec@1 35.547 (36.543) Prec@5 67.969 (67.036) Epoch: [17][2670/5809] Time 0.134 (0.472) Data 0.056 (0.398) Loss 2.5600 (2.6060) Prec@1 33.203 (36.541) Prec@5 67.969 (67.034) Epoch: [17][2680/5809] Time 0.488 (0.471) Data 0.426 (0.398) Loss 2.5493 (2.6061) Prec@1 37.109 (36.539) Prec@5 68.750 (67.033) Epoch: [17][2690/5809] Time 0.127 (0.471) Data 0.046 (0.397) Loss 2.5821 (2.6062) Prec@1 36.328 (36.543) Prec@5 69.141 (67.031) Epoch: [17][2700/5809] Time 0.491 (0.471) Data 0.429 (0.397) Loss 2.4931 (2.6061) Prec@1 37.109 (36.544) Prec@5 71.484 (67.032) Epoch: [17][2710/5809] Time 0.303 (0.471) Data 0.244 (0.397) Loss 2.5636 (2.6060) Prec@1 33.984 (36.543) Prec@5 66.016 (67.034) Epoch: [17][2720/5809] Time 0.152 (0.470) Data 0.083 (0.396) Loss 2.7456 (2.6060) Prec@1 37.500 (36.542) Prec@5 60.547 (67.034) Epoch: [17][2730/5809] Time 0.307 (0.470) Data 0.248 (0.396) Loss 2.5822 (2.6062) Prec@1 39.062 (36.539) Prec@5 67.188 (67.031) Epoch: [17][2740/5809] Time 0.128 (0.470) Data 0.045 (0.396) Loss 2.5576 (2.6062) Prec@1 35.156 (36.538) Prec@5 67.188 (67.030) Epoch: [17][2750/5809] Time 0.628 (0.470) Data 0.569 (0.396) Loss 2.7257 (2.6062) Prec@1 34.766 (36.539) Prec@5 65.234 (67.031) Epoch: [17][2760/5809] Time 0.257 (0.469) Data 0.189 (0.396) Loss 2.8521 (2.6064) Prec@1 29.688 (36.527) Prec@5 60.156 (67.028) Epoch: [17][2770/5809] Time 0.688 (0.469) Data 0.630 (0.395) Loss 2.5361 (2.6063) Prec@1 37.500 (36.529) Prec@5 67.578 (67.029) Epoch: [17][2780/5809] Time 0.292 (0.469) Data 0.235 (0.395) Loss 2.9188 (2.6065) Prec@1 33.594 (36.527) Prec@5 59.375 (67.029) Epoch: [17][2790/5809] Time 0.573 (0.469) Data 0.512 (0.395) Loss 2.5135 (2.6065) Prec@1 40.625 (36.531) Prec@5 69.141 (67.026) Epoch: [17][2800/5809] Time 0.337 (0.468) Data 0.278 (0.395) Loss 2.4279 (2.6064) Prec@1 39.453 (36.533) Prec@5 69.141 (67.027) Epoch: [17][2810/5809] Time 0.630 (0.468) Data 0.571 (0.395) Loss 2.6564 (2.6067) Prec@1 34.766 (36.523) Prec@5 66.016 (67.021) Epoch: [17][2820/5809] Time 0.536 (0.468) Data 0.478 (0.394) Loss 2.6049 (2.6067) Prec@1 38.672 (36.525) Prec@5 71.094 (67.020) Epoch: [17][2830/5809] Time 0.733 (0.468) Data 0.670 (0.394) Loss 2.4097 (2.6068) Prec@1 41.406 (36.526) Prec@5 73.438 (67.021) Epoch: [17][2840/5809] Time 0.512 (0.468) Data 0.452 (0.394) Loss 2.8142 (2.6069) Prec@1 35.547 (36.529) Prec@5 62.891 (67.023) Epoch: [17][2850/5809] Time 0.963 (0.467) Data 0.904 (0.394) Loss 2.5970 (2.6067) Prec@1 36.719 (36.530) Prec@5 66.406 (67.026) Epoch: [17][2860/5809] Time 0.290 (0.467) Data 0.226 (0.393) Loss 2.7144 (2.6067) Prec@1 30.469 (36.526) Prec@5 66.406 (67.029) Epoch: [17][2870/5809] Time 0.866 (0.467) Data 0.801 (0.393) Loss 2.5824 (2.6066) Prec@1 36.328 (36.528) Prec@5 68.359 (67.034) Epoch: [17][2880/5809] Time 0.562 (0.467) Data 0.503 (0.393) Loss 2.5488 (2.6067) Prec@1 35.547 (36.522) Prec@5 67.188 (67.033) Epoch: [17][2890/5809] Time 0.727 (0.466) Data 0.666 (0.393) Loss 2.7727 (2.6067) Prec@1 33.203 (36.522) Prec@5 62.891 (67.032) Epoch: [17][2900/5809] Time 0.497 (0.466) Data 0.439 (0.393) Loss 2.4053 (2.6064) Prec@1 42.188 (36.524) Prec@5 69.141 (67.038) Epoch: [17][2910/5809] Time 0.842 (0.466) Data 0.784 (0.392) Loss 2.5860 (2.6062) Prec@1 38.672 (36.529) Prec@5 66.406 (67.044) Epoch: [17][2920/5809] Time 0.644 (0.466) Data 0.585 (0.392) Loss 2.6646 (2.6061) Prec@1 35.547 (36.531) Prec@5 66.016 (67.045) Epoch: [17][2930/5809] Time 0.580 (0.466) Data 0.521 (0.392) Loss 2.5916 (2.6063) Prec@1 39.453 (36.526) Prec@5 66.016 (67.039) Epoch: [17][2940/5809] Time 0.424 (0.465) Data 0.364 (0.392) Loss 2.4954 (2.6063) Prec@1 39.453 (36.526) Prec@5 70.312 (67.040) Epoch: [17][2950/5809] Time 0.928 (0.465) Data 0.869 (0.391) Loss 2.7219 (2.6064) Prec@1 34.375 (36.525) Prec@5 62.500 (67.036) Epoch: [17][2960/5809] Time 0.403 (0.465) Data 0.344 (0.391) Loss 2.6042 (2.6066) Prec@1 38.281 (36.522) Prec@5 66.016 (67.029) Epoch: [17][2970/5809] Time 1.098 (0.465) Data 1.039 (0.391) Loss 2.5308 (2.6064) Prec@1 36.328 (36.525) Prec@5 67.969 (67.030) Epoch: [17][2980/5809] Time 0.484 (0.464) Data 0.425 (0.391) Loss 2.8314 (2.6065) Prec@1 34.766 (36.522) Prec@5 62.500 (67.028) Epoch: [17][2990/5809] Time 0.971 (0.464) Data 0.912 (0.391) Loss 2.7399 (2.6067) Prec@1 38.281 (36.519) Prec@5 65.234 (67.020) Epoch: [17][3000/5809] Time 0.341 (0.464) Data 0.280 (0.390) Loss 2.5405 (2.6065) Prec@1 36.719 (36.520) Prec@5 66.016 (67.022) Epoch: [17][3010/5809] Time 0.627 (0.464) Data 0.569 (0.390) Loss 2.6010 (2.6068) Prec@1 38.672 (36.516) Prec@5 65.234 (67.017) Epoch: [17][3020/5809] Time 0.407 (0.464) Data 0.348 (0.390) Loss 2.6793 (2.6070) Prec@1 33.594 (36.508) Prec@5 67.969 (67.013) Epoch: [17][3030/5809] Time 0.353 (0.463) Data 0.295 (0.390) Loss 2.5643 (2.6071) Prec@1 39.062 (36.510) Prec@5 67.969 (67.013) Epoch: [17][3040/5809] Time 0.132 (0.463) Data 0.057 (0.390) Loss 2.4913 (2.6070) Prec@1 40.625 (36.510) Prec@5 66.016 (67.010) Epoch: [17][3050/5809] Time 0.278 (0.463) Data 0.219 (0.389) Loss 2.7116 (2.6069) Prec@1 35.156 (36.511) Prec@5 64.844 (67.008) Epoch: [17][3060/5809] Time 0.133 (0.463) Data 0.001 (0.389) Loss 2.6117 (2.6073) Prec@1 37.891 (36.505) Prec@5 66.406 (66.999) Epoch: [17][3070/5809] Time 0.595 (0.463) Data 0.536 (0.389) Loss 2.6502 (2.6074) Prec@1 34.766 (36.506) Prec@5 67.578 (66.996) Epoch: [17][3080/5809] Time 0.135 (0.462) Data 0.063 (0.389) Loss 2.3958 (2.6074) Prec@1 40.625 (36.504) Prec@5 71.094 (66.994) Epoch: [17][3090/5809] Time 0.227 (0.462) Data 0.169 (0.389) Loss 2.6887 (2.6073) Prec@1 32.812 (36.504) Prec@5 66.016 (66.996) Epoch: [17][3100/5809] Time 0.233 (0.462) Data 0.175 (0.389) Loss 2.8763 (2.6073) Prec@1 33.984 (36.506) Prec@5 60.156 (66.998) Epoch: [17][3110/5809] Time 0.233 (0.462) Data 0.175 (0.388) Loss 2.5969 (2.6073) Prec@1 33.984 (36.506) Prec@5 64.844 (66.998) Epoch: [17][3120/5809] Time 0.289 (0.461) Data 0.230 (0.388) Loss 2.5820 (2.6072) Prec@1 37.891 (36.510) Prec@5 69.141 (67.001) Epoch: [17][3130/5809] Time 0.133 (0.461) Data 0.062 (0.388) Loss 2.3565 (2.6072) Prec@1 41.016 (36.512) Prec@5 74.609 (67.001) Epoch: [17][3140/5809] Time 0.303 (0.461) Data 0.245 (0.388) Loss 2.6475 (2.6073) Prec@1 37.109 (36.506) Prec@5 64.453 (66.997) Epoch: [17][3150/5809] Time 0.126 (0.461) Data 0.049 (0.388) Loss 2.7006 (2.6074) Prec@1 39.062 (36.507) Prec@5 63.672 (66.994) Epoch: [17][3160/5809] Time 0.164 (0.461) Data 0.106 (0.387) Loss 2.6690 (2.6078) Prec@1 35.156 (36.497) Prec@5 64.453 (66.988) Epoch: [17][3170/5809] Time 0.133 (0.461) Data 0.050 (0.387) Loss 2.8052 (2.6077) Prec@1 32.812 (36.501) Prec@5 64.453 (66.990) Epoch: [17][3180/5809] Time 0.132 (0.460) Data 0.001 (0.387) Loss 2.6809 (2.6077) Prec@1 35.938 (36.498) Prec@5 65.234 (66.990) Epoch: [17][3190/5809] Time 0.134 (0.460) Data 0.073 (0.387) Loss 2.7201 (2.6077) Prec@1 36.719 (36.496) Prec@5 67.578 (66.989) Epoch: [17][3200/5809] Time 0.166 (0.460) Data 0.106 (0.387) Loss 2.5505 (2.6078) Prec@1 37.109 (36.495) Prec@5 63.281 (66.986) Epoch: [17][3210/5809] Time 0.127 (0.460) Data 0.001 (0.387) Loss 2.6148 (2.6078) Prec@1 39.844 (36.499) Prec@5 61.719 (66.984) Epoch: [17][3220/5809] Time 0.314 (0.460) Data 0.254 (0.386) Loss 2.5196 (2.6079) Prec@1 40.234 (36.493) Prec@5 69.141 (66.985) Epoch: [17][3230/5809] Time 0.131 (0.460) Data 0.001 (0.386) Loss 2.5545 (2.6080) Prec@1 39.844 (36.492) Prec@5 66.797 (66.982) Epoch: [17][3240/5809] Time 0.300 (0.459) Data 0.241 (0.386) Loss 2.8264 (2.6081) Prec@1 34.766 (36.492) Prec@5 64.844 (66.981) Epoch: [17][3250/5809] Time 0.176 (0.459) Data 0.117 (0.386) Loss 2.6718 (2.6080) Prec@1 35.547 (36.489) Prec@5 67.188 (66.981) Epoch: [17][3260/5809] Time 0.338 (0.459) Data 0.279 (0.385) Loss 2.7012 (2.6082) Prec@1 37.500 (36.486) Prec@5 66.016 (66.978) Epoch: [17][3270/5809] Time 0.133 (0.459) Data 0.001 (0.385) Loss 2.5858 (2.6080) Prec@1 36.328 (36.488) Prec@5 67.188 (66.979) Epoch: [17][3280/5809] Time 0.134 (0.459) Data 0.057 (0.385) Loss 2.7784 (2.6081) Prec@1 36.719 (36.490) Prec@5 60.938 (66.975) Epoch: [17][3290/5809] Time 0.181 (0.458) Data 0.122 (0.385) Loss 2.6868 (2.6083) Prec@1 35.547 (36.488) Prec@5 67.969 (66.971) Epoch: [17][3300/5809] Time 0.137 (0.458) Data 0.076 (0.385) Loss 2.7311 (2.6082) Prec@1 32.812 (36.486) Prec@5 63.281 (66.975) Epoch: [17][3310/5809] Time 0.245 (0.458) Data 0.180 (0.385) Loss 2.6695 (2.6082) Prec@1 33.594 (36.484) Prec@5 66.406 (66.973) Epoch: [17][3320/5809] Time 0.132 (0.458) Data 0.047 (0.384) Loss 2.3341 (2.6081) Prec@1 43.750 (36.486) Prec@5 72.656 (66.975) Epoch: [17][3330/5809] Time 0.142 (0.458) Data 0.047 (0.384) Loss 2.7933 (2.6080) Prec@1 32.031 (36.488) Prec@5 61.719 (66.977) Epoch: [17][3340/5809] Time 0.133 (0.458) Data 0.001 (0.384) Loss 2.6466 (2.6077) Prec@1 38.672 (36.494) Prec@5 66.016 (66.980) Epoch: [17][3350/5809] Time 0.133 (0.457) Data 0.052 (0.384) Loss 2.4489 (2.6079) Prec@1 39.453 (36.494) Prec@5 70.312 (66.974) Epoch: [17][3360/5809] Time 0.182 (0.457) Data 0.123 (0.383) Loss 2.5247 (2.6081) Prec@1 37.500 (36.493) Prec@5 67.188 (66.970) Epoch: [17][3370/5809] Time 0.139 (0.457) Data 0.056 (0.383) Loss 2.5247 (2.6082) Prec@1 39.453 (36.493) Prec@5 69.531 (66.968) Epoch: [17][3380/5809] Time 0.267 (0.457) Data 0.209 (0.383) Loss 2.5816 (2.6081) Prec@1 37.891 (36.494) Prec@5 67.188 (66.972) Epoch: [17][3390/5809] Time 0.135 (0.457) Data 0.049 (0.383) Loss 2.6998 (2.6081) Prec@1 33.984 (36.491) Prec@5 64.453 (66.973) Epoch: [17][3400/5809] Time 0.546 (0.457) Data 0.486 (0.383) Loss 2.5431 (2.6080) Prec@1 38.281 (36.493) Prec@5 66.797 (66.975) Epoch: [17][3410/5809] Time 0.161 (0.457) Data 0.101 (0.382) Loss 2.4881 (2.6080) Prec@1 39.453 (36.492) Prec@5 65.234 (66.973) Epoch: [17][3420/5809] Time 0.973 (0.456) Data 0.912 (0.382) Loss 2.5878 (2.6082) Prec@1 38.281 (36.490) Prec@5 69.141 (66.969) Epoch: [17][3430/5809] Time 0.177 (0.456) Data 0.118 (0.382) Loss 2.5065 (2.6080) Prec@1 37.500 (36.493) Prec@5 69.531 (66.973) Epoch: [17][3440/5809] Time 0.726 (0.456) Data 0.667 (0.382) Loss 2.5358 (2.6081) Prec@1 36.719 (36.491) Prec@5 69.922 (66.973) Epoch: [17][3450/5809] Time 0.138 (0.456) Data 0.048 (0.382) Loss 2.6225 (2.6081) Prec@1 33.594 (36.489) Prec@5 67.188 (66.970) Epoch: [17][3460/5809] Time 0.724 (0.456) Data 0.665 (0.382) Loss 2.7306 (2.6081) Prec@1 36.328 (36.487) Prec@5 63.672 (66.968) Epoch: [17][3470/5809] Time 0.142 (0.456) Data 0.083 (0.381) Loss 2.6295 (2.6080) Prec@1 34.766 (36.489) Prec@5 66.797 (66.967) Epoch: [17][3480/5809] Time 1.065 (0.456) Data 1.006 (0.381) Loss 2.8627 (2.6083) Prec@1 30.469 (36.480) Prec@5 60.938 (66.962) Epoch: [17][3490/5809] Time 0.133 (0.455) Data 0.001 (0.381) Loss 2.8162 (2.6082) Prec@1 30.078 (36.482) Prec@5 62.109 (66.964) Epoch: [17][3500/5809] Time 0.811 (0.455) Data 0.752 (0.381) Loss 2.7500 (2.6082) Prec@1 32.812 (36.481) Prec@5 62.109 (66.962) Epoch: [17][3510/5809] Time 0.134 (0.455) Data 0.001 (0.381) Loss 2.6345 (2.6081) Prec@1 34.766 (36.480) Prec@5 64.844 (66.961) Epoch: [17][3520/5809] Time 0.623 (0.455) Data 0.563 (0.380) Loss 2.8686 (2.6083) Prec@1 35.156 (36.477) Prec@5 62.109 (66.957) Epoch: [17][3530/5809] Time 0.139 (0.455) Data 0.001 (0.380) Loss 2.3861 (2.6083) Prec@1 42.969 (36.477) Prec@5 67.578 (66.958) Epoch: [17][3540/5809] Time 0.563 (0.455) Data 0.504 (0.380) Loss 2.5439 (2.6083) Prec@1 32.812 (36.478) Prec@5 69.922 (66.960) Epoch: [17][3550/5809] Time 0.207 (0.454) Data 0.149 (0.380) Loss 2.7628 (2.6082) Prec@1 32.031 (36.478) Prec@5 62.500 (66.962) Epoch: [17][3560/5809] Time 0.566 (0.454) Data 0.508 (0.380) Loss 2.7205 (2.6082) Prec@1 30.859 (36.475) Prec@5 67.188 (66.961) Epoch: [17][3570/5809] Time 0.473 (0.454) Data 0.406 (0.380) Loss 2.7628 (2.6084) Prec@1 34.375 (36.472) Prec@5 61.328 (66.962) Epoch: [17][3580/5809] Time 0.233 (0.454) Data 0.175 (0.380) Loss 2.4151 (2.6082) Prec@1 41.016 (36.475) Prec@5 71.094 (66.966) Epoch: [17][3590/5809] Time 0.672 (0.454) Data 0.613 (0.380) Loss 2.7355 (2.6082) Prec@1 31.641 (36.478) Prec@5 62.500 (66.963) Epoch: [17][3600/5809] Time 0.500 (0.454) Data 0.442 (0.379) Loss 2.7412 (2.6084) Prec@1 33.984 (36.475) Prec@5 62.500 (66.956) Epoch: [17][3610/5809] Time 0.875 (0.454) Data 0.810 (0.379) Loss 2.8124 (2.6085) Prec@1 36.328 (36.474) Prec@5 63.281 (66.957) Epoch: [17][3620/5809] Time 0.578 (0.453) Data 0.517 (0.379) Loss 2.7042 (2.6085) Prec@1 33.984 (36.474) Prec@5 66.016 (66.956) Epoch: [17][3630/5809] Time 0.556 (0.453) Data 0.496 (0.379) Loss 2.5119 (2.6084) Prec@1 37.500 (36.478) Prec@5 70.703 (66.957) Epoch: [17][3640/5809] Time 0.517 (0.453) Data 0.459 (0.379) Loss 2.6681 (2.6084) Prec@1 36.719 (36.480) Prec@5 67.188 (66.957) Epoch: [17][3650/5809] Time 0.858 (0.453) Data 0.798 (0.379) Loss 2.7970 (2.6086) Prec@1 34.375 (36.476) Prec@5 62.891 (66.953) Epoch: [17][3660/5809] Time 0.413 (0.453) Data 0.353 (0.379) Loss 2.5634 (2.6085) Prec@1 37.500 (36.480) Prec@5 70.703 (66.956) Epoch: [17][3670/5809] Time 0.895 (0.453) Data 0.831 (0.379) Loss 2.7066 (2.6082) Prec@1 32.812 (36.487) Prec@5 64.844 (66.960) Epoch: [17][3680/5809] Time 0.288 (0.453) Data 0.228 (0.378) Loss 2.6353 (2.6082) Prec@1 35.156 (36.490) Prec@5 67.578 (66.961) Epoch: [17][3690/5809] Time 1.011 (0.453) Data 0.951 (0.378) Loss 2.5535 (2.6083) Prec@1 38.281 (36.493) Prec@5 66.797 (66.961) Epoch: [17][3700/5809] Time 0.277 (0.452) Data 0.219 (0.378) Loss 2.7401 (2.6083) Prec@1 32.812 (36.491) Prec@5 63.281 (66.960) Epoch: [17][3710/5809] Time 0.797 (0.452) Data 0.735 (0.378) Loss 2.6099 (2.6083) Prec@1 33.594 (36.490) Prec@5 69.141 (66.961) Epoch: [17][3720/5809] Time 0.145 (0.452) Data 0.084 (0.378) Loss 2.7758 (2.6083) Prec@1 32.031 (36.493) Prec@5 63.281 (66.962) Epoch: [17][3730/5809] Time 0.668 (0.452) Data 0.610 (0.378) Loss 2.6421 (2.6082) Prec@1 32.812 (36.494) Prec@5 69.531 (66.965) Epoch: [17][3740/5809] Time 0.132 (0.452) Data 0.058 (0.378) Loss 2.6086 (2.6083) Prec@1 37.109 (36.491) Prec@5 65.234 (66.964) Epoch: [17][3750/5809] Time 0.532 (0.452) Data 0.473 (0.378) Loss 2.5112 (2.6084) Prec@1 36.719 (36.491) Prec@5 66.797 (66.963) Epoch: [17][3760/5809] Time 0.133 (0.451) Data 0.001 (0.377) Loss 2.7314 (2.6085) Prec@1 30.859 (36.488) Prec@5 66.406 (66.961) Epoch: [17][3770/5809] Time 0.419 (0.451) Data 0.360 (0.377) Loss 2.4392 (2.6086) Prec@1 38.672 (36.488) Prec@5 67.578 (66.957) Epoch: [17][3780/5809] Time 0.133 (0.451) Data 0.001 (0.377) Loss 2.5408 (2.6085) Prec@1 37.891 (36.494) Prec@5 69.531 (66.959) Epoch: [17][3790/5809] Time 0.426 (0.451) Data 0.366 (0.377) Loss 2.5062 (2.6086) Prec@1 36.719 (36.494) Prec@5 73.047 (66.959) Epoch: [17][3800/5809] Time 0.448 (0.451) Data 0.390 (0.377) Loss 2.9059 (2.6085) Prec@1 32.422 (36.493) Prec@5 60.547 (66.958) Epoch: [17][3810/5809] Time 0.488 (0.451) Data 0.427 (0.377) Loss 2.6363 (2.6086) Prec@1 37.891 (36.491) Prec@5 63.672 (66.955) Epoch: [17][3820/5809] Time 0.264 (0.451) Data 0.200 (0.377) Loss 2.5466 (2.6086) Prec@1 38.281 (36.491) Prec@5 67.969 (66.952) Epoch: [17][3830/5809] Time 0.655 (0.450) Data 0.596 (0.377) Loss 2.6832 (2.6087) Prec@1 32.031 (36.488) Prec@5 66.797 (66.949) Epoch: [17][3840/5809] Time 0.305 (0.450) Data 0.238 (0.376) Loss 2.4713 (2.6087) Prec@1 35.938 (36.487) Prec@5 70.703 (66.952) Epoch: [17][3850/5809] Time 0.618 (0.450) Data 0.558 (0.376) Loss 2.7433 (2.6087) Prec@1 31.641 (36.487) Prec@5 63.672 (66.953) Epoch: [17][3860/5809] Time 0.202 (0.450) Data 0.136 (0.376) Loss 2.3487 (2.6086) Prec@1 43.750 (36.490) Prec@5 71.484 (66.955) Epoch: [17][3870/5809] Time 0.612 (0.450) Data 0.554 (0.376) Loss 2.5259 (2.6086) Prec@1 36.328 (36.488) Prec@5 71.094 (66.956) Epoch: [17][3880/5809] Time 0.266 (0.450) Data 0.206 (0.376) Loss 2.6624 (2.6085) Prec@1 34.375 (36.491) Prec@5 67.969 (66.958) Epoch: [17][3890/5809] Time 0.467 (0.450) Data 0.408 (0.376) Loss 2.5785 (2.6085) Prec@1 35.547 (36.490) Prec@5 67.969 (66.958) Epoch: [17][3900/5809] Time 0.214 (0.450) Data 0.154 (0.376) Loss 2.4552 (2.6085) Prec@1 38.672 (36.490) Prec@5 69.922 (66.961) Epoch: [17][3910/5809] Time 0.133 (0.449) Data 0.001 (0.376) Loss 2.4283 (2.6083) Prec@1 40.234 (36.491) Prec@5 69.141 (66.963) Epoch: [17][3920/5809] Time 0.136 (0.449) Data 0.046 (0.376) Loss 2.5138 (2.6082) Prec@1 39.453 (36.494) Prec@5 67.969 (66.964) Epoch: [17][3930/5809] Time 0.133 (0.449) Data 0.001 (0.375) Loss 2.6569 (2.6085) Prec@1 33.594 (36.488) Prec@5 65.625 (66.959) Epoch: [17][3940/5809] Time 0.133 (0.449) Data 0.001 (0.375) Loss 2.5024 (2.6084) Prec@1 37.891 (36.489) Prec@5 69.531 (66.960) Epoch: [17][3950/5809] Time 0.162 (0.449) Data 0.103 (0.375) Loss 2.8121 (2.6084) Prec@1 35.547 (36.486) Prec@5 60.547 (66.962) Epoch: [17][3960/5809] Time 0.133 (0.449) Data 0.001 (0.375) Loss 2.6075 (2.6083) Prec@1 37.109 (36.488) Prec@5 65.625 (66.966) Epoch: [17][3970/5809] Time 0.142 (0.449) Data 0.001 (0.375) Loss 2.4933 (2.6083) Prec@1 37.500 (36.487) Prec@5 71.484 (66.966) Epoch: [17][3980/5809] Time 0.218 (0.449) Data 0.160 (0.375) Loss 2.3873 (2.6082) Prec@1 39.062 (36.488) Prec@5 71.875 (66.969) Epoch: [17][3990/5809] Time 0.132 (0.449) Data 0.012 (0.375) Loss 2.6065 (2.6082) Prec@1 37.891 (36.488) Prec@5 66.406 (66.971) Epoch: [17][4000/5809] Time 0.134 (0.448) Data 0.071 (0.375) Loss 2.5710 (2.6081) Prec@1 37.109 (36.489) Prec@5 67.969 (66.971) Epoch: [17][4010/5809] Time 0.439 (0.448) Data 0.381 (0.375) Loss 2.5212 (2.6082) Prec@1 41.406 (36.490) Prec@5 68.750 (66.968) Epoch: [17][4020/5809] Time 0.566 (0.448) Data 0.507 (0.375) Loss 2.5307 (2.6082) Prec@1 37.109 (36.489) Prec@5 67.188 (66.969) Epoch: [17][4030/5809] Time 0.425 (0.448) Data 0.366 (0.374) Loss 2.7361 (2.6083) Prec@1 34.375 (36.490) Prec@5 63.672 (66.966) Epoch: [17][4040/5809] Time 0.408 (0.448) Data 0.349 (0.374) Loss 2.5776 (2.6084) Prec@1 39.453 (36.489) Prec@5 67.188 (66.966) Epoch: [17][4050/5809] Time 0.265 (0.448) Data 0.206 (0.374) Loss 2.4075 (2.6083) Prec@1 37.500 (36.490) Prec@5 68.750 (66.965) Epoch: [17][4060/5809] Time 0.345 (0.448) Data 0.285 (0.374) Loss 2.7613 (2.6084) Prec@1 37.500 (36.492) Prec@5 67.188 (66.962) Epoch: [17][4070/5809] Time 0.425 (0.448) Data 0.364 (0.374) Loss 2.4536 (2.6083) Prec@1 41.016 (36.493) Prec@5 69.531 (66.962) Epoch: [17][4080/5809] Time 0.338 (0.448) Data 0.278 (0.374) Loss 2.4277 (2.6084) Prec@1 40.625 (36.491) Prec@5 70.312 (66.962) Epoch: [17][4090/5809] Time 0.293 (0.447) Data 0.235 (0.374) Loss 2.5642 (2.6083) Prec@1 35.938 (36.494) Prec@5 69.531 (66.964) Epoch: [17][4100/5809] Time 0.380 (0.447) Data 0.319 (0.374) Loss 2.7502 (2.6084) Prec@1 35.156 (36.495) Prec@5 63.281 (66.961) Epoch: [17][4110/5809] Time 0.357 (0.447) Data 0.298 (0.374) Loss 2.6346 (2.6083) Prec@1 33.594 (36.494) Prec@5 69.531 (66.964) Epoch: [17][4120/5809] Time 0.473 (0.447) Data 0.414 (0.374) Loss 2.6973 (2.6084) Prec@1 38.281 (36.495) Prec@5 69.531 (66.963) Epoch: [17][4130/5809] Time 0.260 (0.447) Data 0.202 (0.373) Loss 2.6661 (2.6082) Prec@1 38.281 (36.499) Prec@5 64.453 (66.966) Epoch: [17][4140/5809] Time 0.152 (0.447) Data 0.092 (0.373) Loss 2.4095 (2.6080) Prec@1 41.406 (36.502) Prec@5 71.094 (66.969) Epoch: [17][4150/5809] Time 0.575 (0.447) Data 0.515 (0.373) Loss 2.5367 (2.6080) Prec@1 39.453 (36.503) Prec@5 67.578 (66.970) Epoch: [17][4160/5809] Time 0.132 (0.447) Data 0.002 (0.373) Loss 2.5173 (2.6079) Prec@1 38.672 (36.504) Prec@5 66.797 (66.971) Epoch: [17][4170/5809] Time 0.765 (0.447) Data 0.707 (0.373) Loss 2.6669 (2.6079) Prec@1 35.156 (36.505) Prec@5 63.281 (66.970) Epoch: [17][4180/5809] Time 0.186 (0.446) Data 0.128 (0.373) Loss 2.5080 (2.6079) Prec@1 41.797 (36.508) Prec@5 66.016 (66.969) Epoch: [17][4190/5809] Time 0.599 (0.446) Data 0.537 (0.373) Loss 2.7413 (2.6080) Prec@1 35.938 (36.506) Prec@5 63.281 (66.968) Epoch: [17][4200/5809] Time 0.341 (0.446) Data 0.282 (0.373) Loss 2.5481 (2.6080) Prec@1 36.328 (36.507) Prec@5 66.406 (66.964) Epoch: [17][4210/5809] Time 0.651 (0.446) Data 0.589 (0.373) Loss 2.8114 (2.6080) Prec@1 30.859 (36.504) Prec@5 61.719 (66.964) Epoch: [17][4220/5809] Time 0.133 (0.446) Data 0.001 (0.373) Loss 2.7393 (2.6081) Prec@1 32.422 (36.503) Prec@5 64.453 (66.962) Epoch: [17][4230/5809] Time 0.547 (0.446) Data 0.487 (0.373) Loss 2.3538 (2.6079) Prec@1 40.625 (36.504) Prec@5 71.484 (66.964) Epoch: [17][4240/5809] Time 0.134 (0.446) Data 0.055 (0.372) Loss 2.4843 (2.6079) Prec@1 38.281 (36.504) Prec@5 66.406 (66.963) Epoch: [17][4250/5809] Time 0.615 (0.446) Data 0.549 (0.372) Loss 2.7096 (2.6080) Prec@1 37.109 (36.503) Prec@5 61.328 (66.964) Epoch: [17][4260/5809] Time 0.135 (0.446) Data 0.001 (0.372) Loss 2.6800 (2.6081) Prec@1 35.938 (36.504) Prec@5 65.234 (66.962) Epoch: [17][4270/5809] Time 0.375 (0.446) Data 0.317 (0.372) Loss 2.6116 (2.6082) Prec@1 39.453 (36.503) Prec@5 66.016 (66.959) Epoch: [17][4280/5809] Time 0.267 (0.446) Data 0.208 (0.372) Loss 2.6012 (2.6081) Prec@1 41.406 (36.504) Prec@5 66.797 (66.962) Epoch: [17][4290/5809] Time 0.133 (0.445) Data 0.001 (0.372) Loss 2.4151 (2.6079) Prec@1 38.281 (36.506) Prec@5 72.266 (66.968) Epoch: [17][4300/5809] Time 0.417 (0.445) Data 0.358 (0.372) Loss 2.6329 (2.6079) Prec@1 35.938 (36.506) Prec@5 67.188 (66.970) Epoch: [17][4310/5809] Time 0.176 (0.445) Data 0.118 (0.372) Loss 2.4669 (2.6080) Prec@1 39.062 (36.507) Prec@5 71.484 (66.969) Epoch: [17][4320/5809] Time 0.167 (0.445) Data 0.108 (0.372) Loss 2.5957 (2.6080) Prec@1 37.500 (36.508) Prec@5 67.188 (66.967) Epoch: [17][4330/5809] Time 0.213 (0.445) Data 0.150 (0.372) Loss 2.4984 (2.6079) Prec@1 37.500 (36.511) Prec@5 68.750 (66.970) Epoch: [17][4340/5809] Time 0.204 (0.445) Data 0.144 (0.372) Loss 2.4649 (2.6080) Prec@1 38.672 (36.507) Prec@5 70.703 (66.970) Epoch: [17][4350/5809] Time 0.169 (0.445) Data 0.109 (0.371) Loss 2.5404 (2.6079) Prec@1 37.109 (36.511) Prec@5 67.969 (66.974) Epoch: [17][4360/5809] Time 0.305 (0.445) Data 0.245 (0.371) Loss 2.6217 (2.6080) Prec@1 37.109 (36.508) Prec@5 64.844 (66.971) Epoch: [17][4370/5809] Time 0.238 (0.445) Data 0.178 (0.371) Loss 2.6728 (2.6080) Prec@1 32.422 (36.509) Prec@5 67.578 (66.970) Epoch: [17][4380/5809] Time 0.133 (0.445) Data 0.046 (0.371) Loss 2.6311 (2.6080) Prec@1 35.547 (36.510) Prec@5 68.750 (66.969) Epoch: [17][4390/5809] Time 0.515 (0.444) Data 0.454 (0.371) Loss 2.7726 (2.6081) Prec@1 32.031 (36.506) Prec@5 64.453 (66.968) Epoch: [17][4400/5809] Time 0.134 (0.444) Data 0.047 (0.371) Loss 2.6559 (2.6082) Prec@1 37.109 (36.506) Prec@5 67.578 (66.968) Epoch: [17][4410/5809] Time 0.696 (0.444) Data 0.636 (0.371) Loss 2.7728 (2.6083) Prec@1 33.984 (36.504) Prec@5 62.109 (66.965) Epoch: [17][4420/5809] Time 0.216 (0.444) Data 0.158 (0.371) Loss 2.5178 (2.6082) Prec@1 37.891 (36.505) Prec@5 69.531 (66.967) Epoch: [17][4430/5809] Time 0.650 (0.444) Data 0.591 (0.371) Loss 2.7469 (2.6083) Prec@1 31.250 (36.503) Prec@5 63.672 (66.963) Epoch: [17][4440/5809] Time 0.130 (0.444) Data 0.046 (0.371) Loss 2.6368 (2.6085) Prec@1 36.328 (36.503) Prec@5 65.234 (66.960) Epoch: [17][4450/5809] Time 0.695 (0.444) Data 0.636 (0.371) Loss 2.3647 (2.6083) Prec@1 40.625 (36.503) Prec@5 71.484 (66.963) Epoch: [17][4460/5809] Time 0.285 (0.444) Data 0.226 (0.370) Loss 2.2714 (2.6082) Prec@1 44.531 (36.506) Prec@5 73.047 (66.963) Epoch: [17][4470/5809] Time 0.395 (0.444) Data 0.335 (0.370) Loss 2.6992 (2.6082) Prec@1 31.641 (36.507) Prec@5 62.891 (66.962) Epoch: [17][4480/5809] Time 0.134 (0.444) Data 0.001 (0.370) Loss 2.7227 (2.6082) Prec@1 35.547 (36.509) Prec@5 64.844 (66.962) Epoch: [17][4490/5809] Time 0.575 (0.444) Data 0.517 (0.370) Loss 2.6360 (2.6082) Prec@1 37.109 (36.509) Prec@5 67.578 (66.964) Epoch: [17][4500/5809] Time 0.270 (0.443) Data 0.210 (0.370) Loss 2.6002 (2.6083) Prec@1 35.156 (36.507) Prec@5 68.359 (66.961) Epoch: [17][4510/5809] Time 0.339 (0.443) Data 0.279 (0.370) Loss 2.3976 (2.6082) Prec@1 39.062 (36.507) Prec@5 69.922 (66.963) Epoch: [17][4520/5809] Time 0.699 (0.443) Data 0.639 (0.370) Loss 2.4078 (2.6081) Prec@1 41.406 (36.508) Prec@5 71.094 (66.963) Epoch: [17][4530/5809] Time 0.179 (0.443) Data 0.119 (0.370) Loss 2.6725 (2.6082) Prec@1 39.844 (36.508) Prec@5 69.531 (66.963) Epoch: [17][4540/5809] Time 0.980 (0.443) Data 0.922 (0.370) Loss 2.4810 (2.6081) Prec@1 40.234 (36.510) Prec@5 67.188 (66.964) Epoch: [17][4550/5809] Time 0.129 (0.443) Data 0.051 (0.370) Loss 2.7695 (2.6083) Prec@1 32.031 (36.507) Prec@5 63.281 (66.960) Epoch: [17][4560/5809] Time 1.093 (0.443) Data 1.026 (0.370) Loss 2.5603 (2.6084) Prec@1 40.234 (36.505) Prec@5 66.797 (66.958) Epoch: [17][4570/5809] Time 0.133 (0.443) Data 0.001 (0.370) Loss 2.5555 (2.6083) Prec@1 37.109 (36.507) Prec@5 69.922 (66.959) Epoch: [17][4580/5809] Time 0.841 (0.443) Data 0.782 (0.369) Loss 2.2770 (2.6082) Prec@1 40.234 (36.509) Prec@5 75.391 (66.963) Epoch: [17][4590/5809] Time 0.410 (0.443) Data 0.347 (0.369) Loss 2.7079 (2.6083) Prec@1 34.375 (36.505) Prec@5 63.281 (66.962) Epoch: [17][4600/5809] Time 0.422 (0.442) Data 0.365 (0.369) Loss 2.6344 (2.6084) Prec@1 38.672 (36.505) Prec@5 63.672 (66.960) Epoch: [17][4610/5809] Time 0.432 (0.442) Data 0.374 (0.369) Loss 2.5313 (2.6083) Prec@1 37.109 (36.507) Prec@5 68.750 (66.963) Epoch: [17][4620/5809] Time 0.464 (0.442) Data 0.406 (0.369) Loss 2.5848 (2.6083) Prec@1 37.109 (36.506) Prec@5 65.625 (66.965) Epoch: [17][4630/5809] Time 0.274 (0.442) Data 0.215 (0.369) Loss 2.6076 (2.6083) Prec@1 33.594 (36.505) Prec@5 66.016 (66.964) Epoch: [17][4640/5809] Time 0.128 (0.442) Data 0.048 (0.369) Loss 2.4203 (2.6082) Prec@1 38.281 (36.506) Prec@5 69.922 (66.966) Epoch: [17][4650/5809] Time 0.192 (0.442) Data 0.128 (0.369) Loss 2.6266 (2.6081) Prec@1 33.594 (36.508) Prec@5 65.625 (66.967) Epoch: [17][4660/5809] Time 0.129 (0.442) Data 0.047 (0.369) Loss 2.4183 (2.6081) Prec@1 40.234 (36.509) Prec@5 70.312 (66.967) Epoch: [17][4670/5809] Time 0.139 (0.442) Data 0.001 (0.369) Loss 2.6223 (2.6081) Prec@1 35.938 (36.508) Prec@5 67.578 (66.967) Epoch: [17][4680/5809] Time 0.132 (0.442) Data 0.001 (0.368) Loss 2.8122 (2.6081) Prec@1 34.375 (36.509) Prec@5 64.844 (66.966) Epoch: [17][4690/5809] Time 0.139 (0.442) Data 0.001 (0.368) Loss 2.4209 (2.6080) Prec@1 39.844 (36.511) Prec@5 69.922 (66.967) Epoch: [17][4700/5809] Time 0.134 (0.442) Data 0.001 (0.368) Loss 2.6196 (2.6081) Prec@1 36.719 (36.509) Prec@5 67.969 (66.966) Epoch: [17][4710/5809] Time 0.158 (0.442) Data 0.098 (0.368) Loss 2.6188 (2.6080) Prec@1 33.203 (36.512) Prec@5 68.359 (66.966) Epoch: [17][4720/5809] Time 0.134 (0.441) Data 0.001 (0.368) Loss 2.6510 (2.6081) Prec@1 33.594 (36.513) Prec@5 66.016 (66.963) Epoch: [17][4730/5809] Time 0.153 (0.441) Data 0.089 (0.368) Loss 2.6355 (2.6082) Prec@1 35.156 (36.512) Prec@5 63.672 (66.962) Epoch: [17][4740/5809] Time 0.129 (0.441) Data 0.047 (0.368) Loss 2.3858 (2.6081) Prec@1 41.406 (36.514) Prec@5 72.266 (66.964) Epoch: [17][4750/5809] Time 0.140 (0.441) Data 0.047 (0.368) Loss 2.5430 (2.6080) Prec@1 35.156 (36.517) Prec@5 70.703 (66.966) Epoch: [17][4760/5809] Time 0.133 (0.441) Data 0.001 (0.367) Loss 2.6099 (2.6079) Prec@1 38.281 (36.519) Prec@5 65.234 (66.967) Epoch: [17][4770/5809] Time 0.130 (0.441) Data 0.047 (0.367) Loss 2.5414 (2.6081) Prec@1 36.328 (36.519) Prec@5 68.359 (66.962) Epoch: [17][4780/5809] Time 0.276 (0.441) Data 0.217 (0.367) Loss 2.6362 (2.6080) Prec@1 33.203 (36.520) Prec@5 69.922 (66.963) Epoch: [17][4790/5809] Time 0.174 (0.441) Data 0.108 (0.367) Loss 2.7023 (2.6080) Prec@1 35.938 (36.522) Prec@5 64.062 (66.963) Epoch: [17][4800/5809] Time 0.343 (0.441) Data 0.284 (0.367) Loss 2.5791 (2.6080) Prec@1 35.938 (36.521) Prec@5 66.797 (66.964) Epoch: [17][4810/5809] Time 0.257 (0.441) Data 0.198 (0.367) Loss 2.6131 (2.6080) Prec@1 35.156 (36.522) Prec@5 67.578 (66.963) Epoch: [17][4820/5809] Time 0.388 (0.441) Data 0.326 (0.367) Loss 2.5924 (2.6080) Prec@1 37.109 (36.523) Prec@5 67.969 (66.963) Epoch: [17][4830/5809] Time 0.124 (0.441) Data 0.049 (0.367) Loss 2.8042 (2.6079) Prec@1 33.984 (36.523) Prec@5 65.625 (66.965) Epoch: [17][4840/5809] Time 0.195 (0.440) Data 0.138 (0.367) Loss 2.7386 (2.6079) Prec@1 33.984 (36.524) Prec@5 66.797 (66.966) Epoch: [17][4850/5809] Time 0.316 (0.440) Data 0.258 (0.367) Loss 2.7411 (2.6079) Prec@1 30.078 (36.523) Prec@5 66.016 (66.967) Epoch: [17][4860/5809] Time 0.291 (0.440) Data 0.232 (0.367) Loss 2.5439 (2.6079) Prec@1 37.500 (36.521) Prec@5 67.188 (66.965) Epoch: [17][4870/5809] Time 0.248 (0.440) Data 0.189 (0.367) Loss 2.7410 (2.6080) Prec@1 33.984 (36.519) Prec@5 66.797 (66.964) Epoch: [17][4880/5809] Time 0.356 (0.440) Data 0.296 (0.367) Loss 2.6308 (2.6081) Prec@1 37.500 (36.517) Prec@5 61.328 (66.963) Epoch: [17][4890/5809] Time 0.396 (0.440) Data 0.337 (0.367) Loss 2.5972 (2.6082) Prec@1 37.891 (36.517) Prec@5 69.922 (66.958) Epoch: [17][4900/5809] Time 0.335 (0.440) Data 0.274 (0.366) Loss 2.3721 (2.6081) Prec@1 39.844 (36.521) Prec@5 70.703 (66.958) Epoch: [17][4910/5809] Time 2.053 (0.442) Data 1.993 (0.369) Loss 2.6271 (2.6082) Prec@1 33.594 (36.519) Prec@5 64.844 (66.957) Epoch: [17][4920/5809] Time 0.372 (0.442) Data 0.314 (0.369) Loss 2.4898 (2.6081) Prec@1 41.016 (36.520) Prec@5 67.969 (66.959) Epoch: [17][4930/5809] Time 0.132 (0.442) Data 0.001 (0.369) Loss 2.5858 (2.6082) Prec@1 38.672 (36.520) Prec@5 68.750 (66.960) Epoch: [17][4940/5809] Time 0.208 (0.442) Data 0.150 (0.368) Loss 2.5854 (2.6081) Prec@1 36.328 (36.520) Prec@5 65.625 (66.961) Epoch: [17][4950/5809] Time 0.193 (0.442) Data 0.134 (0.368) Loss 2.6382 (2.6082) Prec@1 33.203 (36.520) Prec@5 64.844 (66.959) Epoch: [17][4960/5809] Time 0.133 (0.442) Data 0.001 (0.368) Loss 2.5899 (2.6082) Prec@1 37.109 (36.522) Prec@5 67.578 (66.957) Epoch: [17][4970/5809] Time 0.580 (0.442) Data 0.519 (0.368) Loss 2.5187 (2.6083) Prec@1 39.453 (36.520) Prec@5 67.188 (66.955) Epoch: [17][4980/5809] Time 0.133 (0.442) Data 0.002 (0.368) Loss 2.7332 (2.6083) Prec@1 33.594 (36.519) Prec@5 61.719 (66.954) Epoch: [17][4990/5809] Time 0.974 (0.442) Data 0.915 (0.368) Loss 2.6225 (2.6084) Prec@1 33.984 (36.516) Prec@5 73.047 (66.951) Epoch: [17][5000/5809] Time 0.213 (0.441) Data 0.152 (0.368) Loss 2.4773 (2.6084) Prec@1 39.062 (36.518) Prec@5 68.750 (66.952) Epoch: [17][5010/5809] Time 0.736 (0.441) Data 0.677 (0.368) Loss 2.6239 (2.6083) Prec@1 35.938 (36.518) Prec@5 64.453 (66.952) Epoch: [17][5020/5809] Time 0.140 (0.441) Data 0.046 (0.368) Loss 2.7463 (2.6084) Prec@1 33.984 (36.516) Prec@5 62.109 (66.949) Epoch: [17][5030/5809] Time 0.528 (0.441) Data 0.467 (0.368) Loss 2.5818 (2.6085) Prec@1 37.109 (36.515) Prec@5 67.578 (66.947) Epoch: [17][5040/5809] Time 0.640 (0.441) Data 0.582 (0.368) Loss 2.6254 (2.6086) Prec@1 35.938 (36.513) Prec@5 67.969 (66.947) Epoch: [17][5050/5809] Time 0.680 (0.441) Data 0.620 (0.368) Loss 2.3575 (2.6086) Prec@1 40.234 (36.515) Prec@5 75.000 (66.946) Epoch: [17][5060/5809] Time 0.300 (0.441) Data 0.240 (0.367) Loss 2.5825 (2.6086) Prec@1 37.891 (36.515) Prec@5 68.359 (66.946) Epoch: [17][5070/5809] Time 1.008 (0.441) Data 0.949 (0.367) Loss 2.6945 (2.6086) Prec@1 35.938 (36.515) Prec@5 66.797 (66.948) Epoch: [17][5080/5809] Time 0.142 (0.441) Data 0.001 (0.367) Loss 2.5094 (2.6086) Prec@1 38.281 (36.516) Prec@5 67.969 (66.947) Epoch: [17][5090/5809] Time 1.170 (0.441) Data 1.111 (0.367) Loss 2.7069 (2.6086) Prec@1 32.812 (36.515) Prec@5 67.578 (66.947) Epoch: [17][5100/5809] Time 0.141 (0.441) Data 0.001 (0.367) Loss 2.8766 (2.6086) Prec@1 29.688 (36.517) Prec@5 64.062 (66.946) Epoch: [17][5110/5809] Time 1.048 (0.441) Data 0.990 (0.367) Loss 2.3164 (2.6086) Prec@1 40.234 (36.517) Prec@5 74.219 (66.946) Epoch: [17][5120/5809] Time 0.125 (0.440) Data 0.001 (0.367) Loss 2.6680 (2.6086) Prec@1 35.938 (36.518) Prec@5 65.625 (66.948) Epoch: [17][5130/5809] Time 0.888 (0.440) Data 0.828 (0.367) Loss 2.7654 (2.6086) Prec@1 36.328 (36.518) Prec@5 65.234 (66.945) Epoch: [17][5140/5809] Time 0.295 (0.440) Data 0.234 (0.367) Loss 3.0089 (2.6087) Prec@1 31.641 (36.517) Prec@5 56.250 (66.943) Epoch: [17][5150/5809] Time 0.694 (0.440) Data 0.634 (0.366) Loss 2.6073 (2.6087) Prec@1 37.109 (36.519) Prec@5 66.797 (66.944) Epoch: [17][5160/5809] Time 0.128 (0.440) Data 0.053 (0.366) Loss 2.5409 (2.6088) Prec@1 37.109 (36.518) Prec@5 70.312 (66.940) Epoch: [17][5170/5809] Time 0.667 (0.440) Data 0.609 (0.366) Loss 2.7149 (2.6088) Prec@1 36.719 (36.518) Prec@5 64.062 (66.941) Epoch: [17][5180/5809] Time 0.141 (0.440) Data 0.001 (0.366) Loss 2.5206 (2.6088) Prec@1 35.547 (36.521) Prec@5 68.750 (66.942) Epoch: [17][5190/5809] Time 0.909 (0.440) Data 0.851 (0.366) Loss 2.7471 (2.6088) Prec@1 36.719 (36.519) Prec@5 68.750 (66.941) Epoch: [17][5200/5809] Time 0.142 (0.440) Data 0.001 (0.366) Loss 2.6290 (2.6090) Prec@1 34.375 (36.516) Prec@5 67.578 (66.938) Epoch: [17][5210/5809] Time 1.271 (0.440) Data 1.210 (0.366) Loss 2.6867 (2.6089) Prec@1 34.375 (36.515) Prec@5 65.234 (66.937) Epoch: [17][5220/5809] Time 0.288 (0.440) Data 0.230 (0.366) Loss 2.6103 (2.6089) Prec@1 34.375 (36.513) Prec@5 69.141 (66.939) Epoch: [17][5230/5809] Time 0.562 (0.440) Data 0.495 (0.366) Loss 2.6402 (2.6089) Prec@1 31.250 (36.514) Prec@5 67.578 (66.940) Epoch: [17][5240/5809] Time 0.391 (0.439) Data 0.331 (0.366) Loss 2.4937 (2.6089) Prec@1 42.578 (36.514) Prec@5 70.312 (66.938) Epoch: [17][5250/5809] Time 0.166 (0.439) Data 0.106 (0.366) Loss 2.3045 (2.6088) Prec@1 40.625 (36.516) Prec@5 73.047 (66.942) Epoch: [17][5260/5809] Time 0.125 (0.439) Data 0.051 (0.366) Loss 2.6631 (2.6087) Prec@1 34.766 (36.516) Prec@5 62.109 (66.943) Epoch: [17][5270/5809] Time 0.405 (0.439) Data 0.345 (0.366) Loss 2.5314 (2.6086) Prec@1 39.062 (36.517) Prec@5 66.797 (66.946) Epoch: [17][5280/5809] Time 0.134 (0.439) Data 0.001 (0.365) Loss 2.7505 (2.6086) Prec@1 33.984 (36.519) Prec@5 61.719 (66.946) Epoch: [17][5290/5809] Time 0.327 (0.439) Data 0.267 (0.365) Loss 2.7005 (2.6086) Prec@1 33.594 (36.518) Prec@5 64.062 (66.944) Epoch: [17][5300/5809] Time 0.135 (0.439) Data 0.001 (0.365) Loss 2.2964 (2.6086) Prec@1 44.922 (36.518) Prec@5 73.438 (66.944) Epoch: [17][5310/5809] Time 0.131 (0.439) Data 0.001 (0.365) Loss 2.6778 (2.6087) Prec@1 32.812 (36.518) Prec@5 65.625 (66.941) Epoch: [17][5320/5809] Time 0.172 (0.439) Data 0.113 (0.365) Loss 2.5332 (2.6086) Prec@1 39.844 (36.519) Prec@5 67.969 (66.939) Epoch: [17][5330/5809] Time 0.126 (0.439) Data 0.057 (0.365) Loss 2.6385 (2.6086) Prec@1 34.766 (36.518) Prec@5 68.750 (66.938) Epoch: [17][5340/5809] Time 0.224 (0.439) Data 0.165 (0.365) Loss 2.7373 (2.6087) Prec@1 33.984 (36.519) Prec@5 64.062 (66.936) Epoch: [17][5350/5809] Time 0.350 (0.439) Data 0.291 (0.365) Loss 2.5888 (2.6086) Prec@1 37.500 (36.519) Prec@5 69.141 (66.938) Epoch: [17][5360/5809] Time 0.292 (0.438) Data 0.233 (0.365) Loss 2.4699 (2.6085) Prec@1 33.594 (36.518) Prec@5 72.656 (66.940) Epoch: [17][5370/5809] Time 0.665 (0.438) Data 0.605 (0.365) Loss 2.7344 (2.6086) Prec@1 35.547 (36.517) Prec@5 64.453 (66.940) Epoch: [17][5380/5809] Time 0.252 (0.438) Data 0.193 (0.365) Loss 2.5543 (2.6085) Prec@1 39.062 (36.519) Prec@5 67.969 (66.940) Epoch: [17][5390/5809] Time 0.921 (0.438) Data 0.862 (0.365) Loss 2.4883 (2.6084) Prec@1 39.453 (36.518) Prec@5 69.531 (66.942) Epoch: [17][5400/5809] Time 0.127 (0.438) Data 0.061 (0.365) Loss 2.2065 (2.6082) Prec@1 42.188 (36.521) Prec@5 74.219 (66.946) Epoch: [17][5410/5809] Time 0.850 (0.438) Data 0.781 (0.365) Loss 2.4526 (2.6083) Prec@1 38.672 (36.520) Prec@5 71.875 (66.947) Epoch: [17][5420/5809] Time 0.160 (0.438) Data 0.101 (0.364) Loss 2.4636 (2.6083) Prec@1 41.797 (36.519) Prec@5 69.922 (66.947) Epoch: [17][5430/5809] Time 0.915 (0.438) Data 0.856 (0.364) Loss 2.4692 (2.6082) Prec@1 39.453 (36.520) Prec@5 68.750 (66.949) Epoch: [17][5440/5809] Time 0.129 (0.438) Data 0.055 (0.364) Loss 2.7569 (2.6082) Prec@1 36.719 (36.522) Prec@5 63.281 (66.949) Epoch: [17][5450/5809] Time 0.854 (0.438) Data 0.789 (0.364) Loss 2.7391 (2.6082) Prec@1 33.203 (36.523) Prec@5 66.797 (66.949) Epoch: [17][5460/5809] Time 0.133 (0.438) Data 0.001 (0.364) Loss 2.6586 (2.6082) Prec@1 34.375 (36.521) Prec@5 64.062 (66.949) Epoch: [17][5470/5809] Time 0.873 (0.438) Data 0.815 (0.364) Loss 2.4244 (2.6081) Prec@1 39.844 (36.524) Prec@5 72.266 (66.950) Epoch: [17][5480/5809] Time 0.131 (0.437) Data 0.059 (0.364) Loss 2.6328 (2.6081) Prec@1 36.719 (36.523) Prec@5 68.359 (66.949) Epoch: [17][5490/5809] Time 0.998 (0.437) Data 0.938 (0.364) Loss 2.8151 (2.6082) Prec@1 32.812 (36.521) Prec@5 65.234 (66.947) Epoch: [17][5500/5809] Time 0.128 (0.437) Data 0.048 (0.364) Loss 2.5470 (2.6083) Prec@1 36.328 (36.519) Prec@5 68.359 (66.947) Epoch: [17][5510/5809] Time 1.097 (0.437) Data 1.037 (0.364) Loss 2.5432 (2.6083) Prec@1 39.062 (36.521) Prec@5 66.797 (66.945) Epoch: [17][5520/5809] Time 0.133 (0.437) Data 0.001 (0.363) Loss 2.7661 (2.6083) Prec@1 33.594 (36.521) Prec@5 61.719 (66.945) Epoch: [17][5530/5809] Time 1.024 (0.437) Data 0.958 (0.363) Loss 2.4414 (2.6083) Prec@1 40.234 (36.522) Prec@5 72.266 (66.946) Epoch: [17][5540/5809] Time 0.215 (0.437) Data 0.155 (0.363) Loss 2.5676 (2.6082) Prec@1 36.719 (36.523) Prec@5 71.094 (66.946) Epoch: [17][5550/5809] Time 0.988 (0.437) Data 0.928 (0.363) Loss 2.6651 (2.6083) Prec@1 35.156 (36.521) Prec@5 66.406 (66.946) Epoch: [17][5560/5809] Time 0.417 (0.437) Data 0.356 (0.363) Loss 2.6221 (2.6083) Prec@1 35.547 (36.520) Prec@5 67.188 (66.947) Epoch: [17][5570/5809] Time 0.641 (0.437) Data 0.574 (0.363) Loss 2.6484 (2.6082) Prec@1 38.281 (36.523) Prec@5 67.188 (66.949) Epoch: [17][5580/5809] Time 0.546 (0.437) Data 0.486 (0.363) Loss 2.5840 (2.6082) Prec@1 35.156 (36.523) Prec@5 68.750 (66.950) Epoch: [17][5590/5809] Time 0.726 (0.437) Data 0.665 (0.363) Loss 2.6408 (2.6083) Prec@1 36.328 (36.519) Prec@5 70.312 (66.949) Epoch: [17][5600/5809] Time 0.570 (0.436) Data 0.510 (0.363) Loss 2.7531 (2.6084) Prec@1 35.547 (36.518) Prec@5 62.500 (66.949) Epoch: [17][5610/5809] Time 0.437 (0.436) Data 0.377 (0.363) Loss 2.5239 (2.6084) Prec@1 37.109 (36.519) Prec@5 68.359 (66.947) Epoch: [17][5620/5809] Time 0.507 (0.436) Data 0.446 (0.363) Loss 2.5781 (2.6084) Prec@1 37.891 (36.520) Prec@5 67.578 (66.947) Epoch: [17][5630/5809] Time 0.513 (0.436) Data 0.453 (0.363) Loss 2.6738 (2.6083) Prec@1 38.281 (36.522) Prec@5 64.062 (66.946) Epoch: [17][5640/5809] Time 0.516 (0.436) Data 0.456 (0.363) Loss 2.6034 (2.6082) Prec@1 35.938 (36.523) Prec@5 67.578 (66.949) Epoch: [17][5650/5809] Time 0.605 (0.436) Data 0.546 (0.363) Loss 2.6133 (2.6084) Prec@1 38.672 (36.522) Prec@5 67.578 (66.947) Epoch: [17][5660/5809] Time 0.677 (0.436) Data 0.618 (0.362) Loss 2.5487 (2.6083) Prec@1 38.672 (36.522) Prec@5 68.750 (66.949) Epoch: [17][5670/5809] Time 0.377 (0.436) Data 0.318 (0.362) Loss 2.5674 (2.6083) Prec@1 39.062 (36.522) Prec@5 67.188 (66.949) Epoch: [17][5680/5809] Time 0.518 (0.436) Data 0.450 (0.362) Loss 2.6379 (2.6084) Prec@1 33.594 (36.520) Prec@5 69.141 (66.946) Epoch: [17][5690/5809] Time 0.133 (0.436) Data 0.001 (0.362) Loss 2.6526 (2.6084) Prec@1 33.203 (36.519) Prec@5 65.625 (66.946) Epoch: [17][5700/5809] Time 0.512 (0.436) Data 0.454 (0.362) Loss 2.6587 (2.6084) Prec@1 35.938 (36.521) Prec@5 64.844 (66.947) Epoch: [17][5710/5809] Time 0.133 (0.436) Data 0.001 (0.362) Loss 2.6811 (2.6084) Prec@1 33.594 (36.521) Prec@5 67.969 (66.947) Epoch: [17][5720/5809] Time 0.370 (0.436) Data 0.312 (0.362) Loss 2.7240 (2.6084) Prec@1 35.156 (36.520) Prec@5 66.797 (66.947) Epoch: [17][5730/5809] Time 0.133 (0.435) Data 0.066 (0.362) Loss 2.6583 (2.6083) Prec@1 36.328 (36.522) Prec@5 66.016 (66.946) Epoch: [17][5740/5809] Time 0.210 (0.435) Data 0.150 (0.362) Loss 2.6979 (2.6084) Prec@1 35.547 (36.520) Prec@5 66.016 (66.946) Epoch: [17][5750/5809] Time 0.133 (0.435) Data 0.069 (0.362) Loss 2.6065 (2.6085) Prec@1 37.109 (36.517) Prec@5 65.625 (66.945) Epoch: [17][5760/5809] Time 0.132 (0.435) Data 0.055 (0.362) Loss 2.4270 (2.6084) Prec@1 35.156 (36.518) Prec@5 71.875 (66.947) Epoch: [17][5770/5809] Time 0.134 (0.435) Data 0.001 (0.362) Loss 2.6516 (2.6085) Prec@1 35.938 (36.518) Prec@5 65.625 (66.944) Epoch: [17][5780/5809] Time 0.278 (0.435) Data 0.212 (0.362) Loss 2.7826 (2.6086) Prec@1 35.156 (36.517) Prec@5 63.281 (66.940) Epoch: [17][5790/5809] Time 0.414 (0.435) Data 0.354 (0.362) Loss 2.7535 (2.6088) Prec@1 33.594 (36.515) Prec@5 64.453 (66.937) Epoch: [17][5800/5809] Time 0.219 (0.435) Data 0.152 (0.362) Loss 2.6601 (2.6089) Prec@1 33.984 (36.512) Prec@5 66.406 (66.936) Test: [0/143] Time 1.476 (1.476) Loss 1.5071 (1.5071) Prec@1 57.812 (57.812) Prec@5 87.891 (87.891) Test: [10/143] Time 0.182 (0.373) Loss 10.5426 (9.1188) Prec@1 0.000 (6.925) Prec@5 0.000 (14.418) Test: [20/143] Time 0.970 (0.357) Loss 11.1306 (10.0049) Prec@1 0.000 (3.702) Prec@5 0.000 (8.110) Test: [30/143] Time 0.055 (0.323) Loss 12.7621 (10.5964) Prec@1 0.000 (2.533) Prec@5 0.000 (5.822) Test: [40/143] Time 0.828 (0.322) Loss 10.9800 (10.6965) Prec@1 0.781 (1.934) Prec@5 1.172 (4.630) Test: [50/143] Time 0.055 (0.308) Loss 9.7776 (10.6984) Prec@1 0.000 (1.593) Prec@5 0.781 (4.580) Test: [60/143] Time 0.736 (0.306) Loss 11.9110 (10.8479) Prec@1 0.000 (1.351) Prec@5 0.781 (3.919) Test: [70/143] Time 0.110 (0.297) Loss 9.8787 (10.9193) Prec@1 0.000 (1.199) Prec@5 0.781 (3.521) Test: [80/143] Time 0.761 (0.299) Loss 8.7286 (10.8517) Prec@1 0.000 (1.119) Prec@5 2.344 (3.376) Test: [90/143] Time 0.121 (0.293) Loss 8.7323 (10.7453) Prec@1 0.391 (1.004) Prec@5 2.344 (3.194) Test: [100/143] Time 0.574 (0.293) Loss 10.8218 (10.6983) Prec@1 0.000 (0.924) Prec@5 0.000 (2.955) Test: [110/143] Time 0.162 (0.289) Loss 12.2059 (10.6757) Prec@1 0.000 (0.862) Prec@5 0.000 (2.843) Test: [120/143] Time 0.604 (0.292) Loss 13.9468 (10.7474) Prec@1 0.000 (0.807) Prec@5 0.000 (2.663) Test: [130/143] Time 0.167 (0.289) Loss 14.4218 (11.0683) Prec@1 0.000 (0.745) Prec@5 0.000 (2.460) Test: [140/143] Time 0.614 (0.289) Loss 15.0079 (11.3425) Prec@1 0.000 (0.693) Prec@5 0.000 (2.286) * Prec@1 0.685 Prec@5 2.261 Epoch: [18][0/5809] Time 2.593 (2.593) Data 2.531 (2.531) Loss 2.5656 (2.5656) Prec@1 36.719 (36.719) Prec@5 69.531 (69.531) Epoch: [18][10/5809] Time 0.130 (0.497) Data 0.044 (0.386) Loss 2.6402 (2.6029) Prec@1 39.062 (36.719) Prec@5 67.969 (67.045) Epoch: [18][20/5809] Time 1.110 (0.461) Data 1.051 (0.356) Loss 2.7073 (2.5815) Prec@1 34.766 (36.737) Prec@5 61.328 (66.927) Epoch: [18][30/5809] Time 0.133 (0.412) Data 0.001 (0.309) Loss 2.6161 (2.5799) Prec@1 35.938 (36.694) Prec@5 67.188 (67.251) Epoch: [18][40/5809] Time 0.843 (0.407) Data 0.783 (0.305) Loss 2.5293 (2.5832) Prec@1 39.062 (36.690) Prec@5 72.656 (67.226) Epoch: [18][50/5809] Time 0.141 (0.387) Data 0.001 (0.288) Loss 2.6311 (2.5697) Prec@1 36.719 (37.063) Prec@5 66.406 (67.463) Epoch: [18][60/5809] Time 0.851 (0.388) Data 0.792 (0.291) Loss 2.4564 (2.5746) Prec@1 42.578 (36.988) Prec@5 70.312 (67.405) Epoch: [18][70/5809] Time 0.148 (0.378) Data 0.089 (0.285) Loss 2.6268 (2.5797) Prec@1 34.375 (36.829) Prec@5 66.406 (67.375) Epoch: [18][80/5809] Time 0.716 (0.380) Data 0.648 (0.290) Loss 2.4582 (2.5837) Prec@1 37.109 (36.810) Prec@5 71.484 (67.347) Epoch: [18][90/5809] Time 0.246 (0.376) Data 0.187 (0.289) Loss 2.5744 (2.5857) Prec@1 36.719 (36.852) Prec@5 67.578 (67.316) Epoch: [18][100/5809] Time 0.225 (0.373) Data 0.166 (0.289) Loss 2.6258 (2.5806) Prec@1 34.766 (36.850) Prec@5 65.234 (67.404) Epoch: [18][110/5809] Time 0.570 (0.372) Data 0.511 (0.290) Loss 2.4581 (2.5791) Prec@1 35.547 (36.884) Prec@5 70.703 (67.381) Epoch: [18][120/5809] Time 0.224 (0.369) Data 0.164 (0.289) Loss 2.3688 (2.5763) Prec@1 42.578 (36.967) Prec@5 68.750 (67.497) Epoch: [18][130/5809] Time 4.152 (0.419) Data 4.093 (0.340) Loss 2.5923 (2.5763) Prec@1 38.281 (37.005) Prec@5 67.188 (67.486) Epoch: [18][140/5809] Time 0.124 (0.443) Data 0.050 (0.365) Loss 2.4732 (2.5739) Prec@1 41.797 (37.010) Prec@5 69.531 (67.578) Epoch: [18][150/5809] Time 0.633 (0.440) Data 0.575 (0.362) Loss 2.6141 (2.5751) Prec@1 33.594 (36.918) Prec@5 62.500 (67.557) Epoch: [18][160/5809] Time 0.124 (0.432) Data 0.046 (0.354) Loss 2.5755 (2.5765) Prec@1 35.938 (36.867) Prec@5 69.141 (67.561) Epoch: [18][170/5809] Time 0.829 (0.430) Data 0.765 (0.353) Loss 2.6465 (2.5776) Prec@1 35.938 (36.826) Prec@5 64.062 (67.496) Epoch: [18][180/5809] Time 1.845 (0.472) Data 1.787 (0.395) Loss 2.6162 (2.5766) Prec@1 39.453 (36.824) Prec@5 67.578 (67.544) Epoch: [18][190/5809] Time 1.028 (0.479) Data 0.964 (0.403) Loss 2.6221 (2.5795) Prec@1 39.453 (36.743) Prec@5 65.625 (67.455) Epoch: [18][200/5809] Time 0.328 (0.471) Data 0.269 (0.395) Loss 2.4651 (2.5758) Prec@1 39.453 (36.762) Prec@5 70.312 (67.518) Epoch: [18][210/5809] Time 0.797 (0.467) Data 0.739 (0.390) Loss 2.5017 (2.5722) Prec@1 38.281 (36.854) Prec@5 69.922 (67.595) Epoch: [18][220/5809] Time 0.135 (0.461) Data 0.001 (0.384) Loss 2.7052 (2.5719) Prec@1 33.203 (36.922) Prec@5 66.016 (67.605) Epoch: [18][230/5809] Time 0.580 (0.457) Data 0.521 (0.380) Loss 2.7231 (2.5712) Prec@1 37.500 (36.928) Prec@5 66.016 (67.629) Epoch: [18][240/5809] Time 1.276 (0.476) Data 1.216 (0.400) Loss 2.4865 (2.5717) Prec@1 41.016 (36.929) Prec@5 67.969 (67.552) Epoch: [18][250/5809] Time 0.440 (0.491) Data 0.381 (0.416) Loss 2.4466 (2.5737) Prec@1 33.984 (36.881) Prec@5 72.266 (67.505) Epoch: [18][260/5809] Time 0.228 (0.486) Data 0.169 (0.412) Loss 2.5939 (2.5751) Prec@1 38.281 (36.942) Prec@5 64.844 (67.446) Epoch: [18][270/5809] Time 0.204 (0.481) Data 0.142 (0.407) Loss 2.3615 (2.5749) Prec@1 41.406 (36.959) Prec@5 70.703 (67.425) Epoch: [18][280/5809] Time 0.536 (0.477) Data 0.478 (0.403) Loss 2.5860 (2.5782) Prec@1 39.844 (36.950) Prec@5 66.406 (67.375) Epoch: [18][290/5809] Time 0.174 (0.472) Data 0.115 (0.399) Loss 2.6580 (2.5792) Prec@1 34.766 (36.936) Prec@5 67.188 (67.354) Epoch: [18][300/5809] Time 4.012 (0.482) Data 3.953 (0.408) Loss 2.5772 (2.5801) Prec@1 39.062 (36.922) Prec@5 64.844 (67.321) Epoch: [18][310/5809] Time 0.131 (0.502) Data 0.041 (0.429) Loss 2.6117 (2.5783) Prec@1 37.109 (36.956) Prec@5 65.625 (67.377) Epoch: [18][320/5809] Time 0.676 (0.498) Data 0.618 (0.426) Loss 2.4110 (2.5782) Prec@1 41.016 (36.979) Prec@5 70.703 (67.402) Epoch: [18][330/5809] Time 0.171 (0.494) Data 0.112 (0.421) Loss 2.8293 (2.5777) Prec@1 33.984 (37.008) Prec@5 62.891 (67.407) Epoch: [18][340/5809] Time 0.585 (0.490) Data 0.527 (0.417) Loss 2.5969 (2.5766) Prec@1 38.672 (37.012) Prec@5 65.625 (67.466) Epoch: [18][350/5809] Time 0.136 (0.518) Data 0.077 (0.445) Loss 2.6732 (2.5761) Prec@1 34.766 (37.018) Prec@5 66.406 (67.501) Epoch: [18][360/5809] Time 0.535 (0.514) Data 0.477 (0.441) Loss 2.7593 (2.5776) Prec@1 30.469 (36.942) Prec@5 64.453 (67.485) Epoch: [18][370/5809] Time 0.458 (0.515) Data 0.400 (0.442) Loss 2.6825 (2.5783) Prec@1 37.891 (36.943) Prec@5 67.969 (67.470) Epoch: [18][380/5809] Time 0.346 (0.529) Data 0.287 (0.457) Loss 2.7286 (2.5795) Prec@1 31.641 (36.917) Prec@5 65.234 (67.422) Epoch: [18][390/5809] Time 0.133 (0.528) Data 0.001 (0.455) Loss 2.7867 (2.5812) Prec@1 32.812 (36.875) Prec@5 63.672 (67.387) Epoch: [18][400/5809] Time 0.319 (0.537) Data 0.260 (0.465) Loss 2.6057 (2.5816) Prec@1 35.547 (36.866) Prec@5 65.625 (67.392) Epoch: [18][410/5809] Time 1.395 (0.562) Data 1.336 (0.489) Loss 2.6197 (2.5822) Prec@1 33.594 (36.832) Prec@5 66.016 (67.381) Epoch: [18][420/5809] Time 1.380 (0.582) Data 1.322 (0.510) Loss 2.7862 (2.5827) Prec@1 31.641 (36.807) Prec@5 64.062 (67.397) Epoch: [18][430/5809] Time 1.975 (0.605) Data 1.915 (0.533) Loss 2.6386 (2.5818) Prec@1 35.156 (36.820) Prec@5 66.016 (67.437) Epoch: [18][440/5809] Time 1.252 (0.620) Data 1.192 (0.548) Loss 2.6306 (2.5827) Prec@1 38.672 (36.805) Prec@5 66.406 (67.405) Epoch: [18][450/5809] Time 2.074 (0.639) Data 2.009 (0.568) Loss 2.7436 (2.5822) Prec@1 37.891 (36.824) Prec@5 64.062 (67.417) Epoch: [18][460/5809] Time 1.927 (0.655) Data 1.868 (0.584) Loss 2.5975 (2.5813) Prec@1 39.062 (36.848) Prec@5 68.750 (67.442) Epoch: [18][470/5809] Time 1.833 (0.673) Data 1.775 (0.602) Loss 2.7848 (2.5830) Prec@1 33.203 (36.812) Prec@5 63.672 (67.413) Epoch: [18][480/5809] Time 2.194 (0.689) Data 2.135 (0.619) Loss 2.5784 (2.5828) Prec@1 34.375 (36.824) Prec@5 64.453 (67.411) Epoch: [18][490/5809] Time 1.863 (0.701) Data 1.805 (0.631) Loss 2.5045 (2.5817) Prec@1 40.625 (36.866) Prec@5 67.969 (67.446) Epoch: [18][500/5809] Time 1.640 (0.714) Data 1.582 (0.644) Loss 2.7404 (2.5811) Prec@1 34.375 (36.897) Prec@5 65.625 (67.467) Epoch: [18][510/5809] Time 1.293 (0.726) Data 1.235 (0.656) Loss 2.6229 (2.5813) Prec@1 37.500 (36.880) Prec@5 63.672 (67.473) Epoch: [18][520/5809] Time 1.844 (0.744) Data 1.785 (0.674) Loss 2.6663 (2.5814) Prec@1 33.203 (36.869) Prec@5 65.234 (67.486) Epoch: [18][530/5809] Time 1.364 (0.752) Data 1.306 (0.683) Loss 2.6218 (2.5812) Prec@1 41.016 (36.895) Prec@5 63.672 (67.500) Epoch: [18][540/5809] Time 0.836 (0.758) Data 0.778 (0.689) Loss 2.6056 (2.5817) Prec@1 32.812 (36.875) Prec@5 69.141 (67.487) Epoch: [18][550/5809] Time 0.528 (0.754) Data 0.470 (0.685) Loss 2.7825 (2.5824) Prec@1 33.203 (36.877) Prec@5 66.016 (67.458) Epoch: [18][560/5809] Time 0.584 (0.747) Data 0.518 (0.678) Loss 2.6641 (2.5831) Prec@1 35.938 (36.845) Prec@5 60.547 (67.417) Epoch: [18][570/5809] Time 0.481 (0.741) Data 0.423 (0.672) Loss 2.3283 (2.5836) Prec@1 43.750 (36.823) Prec@5 71.484 (67.399) Epoch: [18][580/5809] Time 0.133 (0.734) Data 0.066 (0.665) Loss 2.5918 (2.5828) Prec@1 34.375 (36.852) Prec@5 68.750 (67.408) Epoch: [18][590/5809] Time 0.213 (0.728) Data 0.154 (0.659) Loss 2.6508 (2.5826) Prec@1 37.109 (36.857) Prec@5 65.234 (67.412) Epoch: [18][600/5809] Time 0.131 (0.722) Data 0.041 (0.654) Loss 2.4104 (2.5829) Prec@1 41.016 (36.845) Prec@5 71.094 (67.408) Epoch: [18][610/5809] Time 0.132 (0.718) Data 0.001 (0.649) Loss 2.5208 (2.5828) Prec@1 37.891 (36.858) Prec@5 70.312 (67.420) Epoch: [18][620/5809] Time 0.271 (0.712) Data 0.213 (0.643) Loss 2.8454 (2.5827) Prec@1 31.641 (36.872) Prec@5 63.281 (67.431) Epoch: [18][630/5809] Time 0.218 (0.708) Data 0.157 (0.639) Loss 2.7166 (2.5829) Prec@1 33.594 (36.865) Prec@5 65.234 (67.415) Epoch: [18][640/5809] Time 0.381 (0.702) Data 0.323 (0.634) Loss 2.7608 (2.5827) Prec@1 33.203 (36.863) Prec@5 65.625 (67.421) Epoch: [18][650/5809] Time 0.212 (0.698) Data 0.152 (0.629) Loss 2.5746 (2.5834) Prec@1 37.500 (36.847) Prec@5 67.969 (67.398) Epoch: [18][660/5809] Time 0.220 (0.694) Data 0.162 (0.625) Loss 2.4781 (2.5832) Prec@1 40.234 (36.845) Prec@5 68.359 (67.397) Epoch: [18][670/5809] Time 0.259 (0.689) Data 0.200 (0.621) Loss 2.6486 (2.5830) Prec@1 35.156 (36.849) Prec@5 67.969 (67.408) Epoch: [18][680/5809] Time 0.133 (0.685) Data 0.001 (0.617) Loss 2.6944 (2.5839) Prec@1 32.422 (36.836) Prec@5 67.578 (67.392) Epoch: [18][690/5809] Time 0.131 (0.681) Data 0.036 (0.612) Loss 2.7043 (2.5831) Prec@1 29.297 (36.831) Prec@5 64.062 (67.411) Epoch: [18][700/5809] Time 0.141 (0.677) Data 0.045 (0.609) Loss 2.7587 (2.5835) Prec@1 33.203 (36.825) Prec@5 59.766 (67.391) Epoch: [18][710/5809] Time 0.303 (0.673) Data 0.245 (0.605) Loss 2.7592 (2.5832) Prec@1 33.984 (36.843) Prec@5 68.750 (67.402) Epoch: [18][720/5809] Time 0.402 (0.670) Data 0.334 (0.601) Loss 2.6384 (2.5831) Prec@1 40.234 (36.861) Prec@5 65.234 (67.403) Epoch: [18][730/5809] Time 0.134 (0.665) Data 0.074 (0.596) Loss 2.4487 (2.5834) Prec@1 37.109 (36.856) Prec@5 67.578 (67.386) Epoch: [18][740/5809] Time 0.133 (0.662) Data 0.003 (0.593) Loss 2.4646 (2.5829) Prec@1 37.109 (36.863) Prec@5 71.875 (67.406) Epoch: [18][750/5809] Time 0.133 (0.658) Data 0.001 (0.589) Loss 2.4987 (2.5830) Prec@1 39.062 (36.869) Prec@5 68.750 (67.402) Epoch: [18][760/5809] Time 0.240 (0.655) Data 0.181 (0.585) Loss 2.3034 (2.5827) Prec@1 42.578 (36.882) Prec@5 73.047 (67.399) Epoch: [18][770/5809] Time 0.134 (0.651) Data 0.001 (0.581) Loss 2.7176 (2.5835) Prec@1 39.062 (36.873) Prec@5 65.234 (67.381) Epoch: [18][780/5809] Time 0.421 (0.649) Data 0.362 (0.578) Loss 2.4856 (2.5834) Prec@1 37.109 (36.872) Prec@5 69.531 (67.387) Epoch: [18][790/5809] Time 0.133 (0.645) Data 0.055 (0.574) Loss 2.7697 (2.5834) Prec@1 34.375 (36.879) Prec@5 64.062 (67.383) Epoch: [18][800/5809] Time 0.439 (0.643) Data 0.378 (0.572) Loss 2.7551 (2.5834) Prec@1 33.984 (36.903) Prec@5 65.625 (67.377) Epoch: [18][810/5809] Time 0.337 (0.639) Data 0.276 (0.569) Loss 2.7235 (2.5836) Prec@1 32.031 (36.892) Prec@5 64.844 (67.382) Epoch: [18][820/5809] Time 0.134 (0.636) Data 0.001 (0.566) Loss 2.6783 (2.5848) Prec@1 34.375 (36.876) Prec@5 64.844 (67.355) Epoch: [18][830/5809] Time 0.393 (0.633) Data 0.333 (0.563) Loss 2.6401 (2.5843) Prec@1 33.984 (36.882) Prec@5 64.453 (67.365) Epoch: [18][840/5809] Time 0.758 (0.631) Data 0.696 (0.561) Loss 2.7188 (2.5838) Prec@1 33.203 (36.877) Prec@5 62.500 (67.374) Epoch: [18][850/5809] Time 0.626 (0.628) Data 0.567 (0.558) Loss 2.6043 (2.5843) Prec@1 33.594 (36.867) Prec@5 67.578 (67.360) Epoch: [18][860/5809] Time 0.547 (0.625) Data 0.489 (0.555) Loss 2.7303 (2.5847) Prec@1 35.156 (36.855) Prec@5 67.969 (67.347) Epoch: [18][870/5809] Time 0.142 (0.623) Data 0.001 (0.553) Loss 2.5219 (2.5837) Prec@1 40.234 (36.876) Prec@5 65.625 (67.364) Epoch: [18][880/5809] Time 0.877 (0.620) Data 0.818 (0.550) Loss 2.6808 (2.5832) Prec@1 36.719 (36.899) Prec@5 66.797 (67.379) Epoch: [18][890/5809] Time 0.273 (0.618) Data 0.206 (0.548) Loss 2.6946 (2.5842) Prec@1 33.203 (36.881) Prec@5 61.719 (67.357) Epoch: [18][900/5809] Time 1.127 (0.616) Data 1.068 (0.546) Loss 2.4098 (2.5830) Prec@1 38.672 (36.908) Prec@5 72.656 (67.377) Epoch: [18][910/5809] Time 0.210 (0.613) Data 0.150 (0.543) Loss 2.5898 (2.5837) Prec@1 38.281 (36.896) Prec@5 68.750 (67.372) Epoch: [18][920/5809] Time 0.919 (0.611) Data 0.858 (0.541) Loss 2.6064 (2.5842) Prec@1 33.984 (36.888) Prec@5 68.750 (67.373) Epoch: [18][930/5809] Time 0.133 (0.608) Data 0.001 (0.538) Loss 2.7305 (2.5845) Prec@1 33.203 (36.886) Prec@5 63.672 (67.376) Epoch: [18][940/5809] Time 0.914 (0.607) Data 0.847 (0.536) Loss 2.4760 (2.5846) Prec@1 35.547 (36.884) Prec@5 68.359 (67.378) Epoch: [18][950/5809] Time 0.353 (0.604) Data 0.292 (0.534) Loss 2.6273 (2.5842) Prec@1 37.109 (36.890) Prec@5 68.750 (67.386) Epoch: [18][960/5809] Time 0.662 (0.602) Data 0.601 (0.532) Loss 2.6462 (2.5839) Prec@1 35.156 (36.894) Prec@5 66.797 (67.395) Epoch: [18][970/5809] Time 0.307 (0.600) Data 0.247 (0.529) Loss 2.4895 (2.5842) Prec@1 37.500 (36.900) Prec@5 69.531 (67.379) Epoch: [18][980/5809] Time 0.227 (0.598) Data 0.166 (0.527) Loss 2.5683 (2.5836) Prec@1 36.328 (36.911) Prec@5 66.016 (67.394) Epoch: [18][990/5809] Time 0.173 (0.596) Data 0.113 (0.525) Loss 2.8369 (2.5838) Prec@1 29.297 (36.893) Prec@5 63.281 (67.387) Epoch: [18][1000/5809] Time 0.603 (0.595) Data 0.544 (0.524) Loss 2.6843 (2.5843) Prec@1 38.281 (36.898) Prec@5 64.844 (67.373) Epoch: [18][1010/5809] Time 0.340 (0.592) Data 0.280 (0.522) Loss 2.5550 (2.5841) Prec@1 36.328 (36.900) Prec@5 67.578 (67.375) Epoch: [18][1020/5809] Time 0.518 (0.591) Data 0.457 (0.520) Loss 2.6536 (2.5840) Prec@1 35.547 (36.907) Prec@5 66.797 (67.372) Epoch: [18][1030/5809] Time 0.357 (0.589) Data 0.296 (0.518) Loss 2.5161 (2.5844) Prec@1 37.500 (36.903) Prec@5 69.922 (67.366) Epoch: [18][1040/5809] Time 0.131 (0.587) Data 0.001 (0.516) Loss 2.4474 (2.5843) Prec@1 41.406 (36.904) Prec@5 68.750 (67.372) Epoch: [18][1050/5809] Time 0.629 (0.585) Data 0.571 (0.514) Loss 2.5426 (2.5841) Prec@1 39.062 (36.908) Prec@5 70.312 (67.374) Epoch: [18][1060/5809] Time 0.132 (0.584) Data 0.001 (0.513) Loss 2.5938 (2.5842) Prec@1 35.938 (36.893) Prec@5 67.188 (67.372) Epoch: [18][1070/5809] Time 0.371 (0.582) Data 0.313 (0.511) Loss 2.6177 (2.5842) Prec@1 39.453 (36.893) Prec@5 70.703 (67.371) Epoch: [18][1080/5809] Time 0.133 (0.580) Data 0.001 (0.509) Loss 2.4524 (2.5846) Prec@1 37.891 (36.884) Prec@5 71.094 (67.363) Epoch: [18][1090/5809] Time 0.568 (0.579) Data 0.507 (0.508) Loss 2.7455 (2.5852) Prec@1 35.156 (36.883) Prec@5 64.062 (67.354) Epoch: [18][1100/5809] Time 0.157 (0.577) Data 0.099 (0.506) Loss 2.7801 (2.5852) Prec@1 33.594 (36.877) Prec@5 66.016 (67.350) Epoch: [18][1110/5809] Time 0.132 (0.576) Data 0.001 (0.505) Loss 2.7452 (2.5856) Prec@1 33.984 (36.874) Prec@5 66.406 (67.339) Epoch: [18][1120/5809] Time 0.460 (0.574) Data 0.400 (0.503) Loss 2.4911 (2.5856) Prec@1 37.891 (36.878) Prec@5 69.531 (67.342) Epoch: [18][1130/5809] Time 0.136 (0.572) Data 0.074 (0.501) Loss 2.8212 (2.5856) Prec@1 30.078 (36.875) Prec@5 61.328 (67.341) Epoch: [18][1140/5809] Time 0.348 (0.571) Data 0.290 (0.500) Loss 2.6468 (2.5855) Prec@1 34.766 (36.867) Prec@5 65.234 (67.342) Epoch: [18][1150/5809] Time 0.925 (0.570) Data 0.864 (0.499) Loss 2.5414 (2.5851) Prec@1 34.766 (36.873) Prec@5 67.188 (67.340) Epoch: [18][1160/5809] Time 0.134 (0.568) Data 0.001 (0.497) Loss 2.5869 (2.5849) Prec@1 39.844 (36.874) Prec@5 67.188 (67.345) Epoch: [18][1170/5809] Time 1.218 (0.567) Data 1.152 (0.496) Loss 2.7459 (2.5849) Prec@1 31.641 (36.861) Prec@5 62.891 (67.347) Epoch: [18][1180/5809] Time 0.134 (0.566) Data 0.009 (0.494) Loss 2.6194 (2.5853) Prec@1 35.938 (36.852) Prec@5 66.016 (67.347) Epoch: [18][1190/5809] Time 0.616 (0.564) Data 0.556 (0.493) Loss 2.4709 (2.5853) Prec@1 37.891 (36.842) Prec@5 70.703 (67.346) Epoch: [18][1200/5809] Time 0.220 (0.563) Data 0.159 (0.492) Loss 2.6984 (2.5855) Prec@1 38.672 (36.849) Prec@5 64.844 (67.351) Epoch: [18][1210/5809] Time 0.126 (0.561) Data 0.044 (0.490) Loss 2.6510 (2.5855) Prec@1 33.594 (36.847) Prec@5 64.062 (67.339) Epoch: [18][1220/5809] Time 0.213 (0.560) Data 0.147 (0.489) Loss 2.5865 (2.5853) Prec@1 33.594 (36.845) Prec@5 67.578 (67.341) Epoch: [18][1230/5809] Time 0.133 (0.559) Data 0.001 (0.488) Loss 2.6292 (2.5848) Prec@1 33.203 (36.865) Prec@5 67.188 (67.352) Epoch: [18][1240/5809] Time 0.453 (0.558) Data 0.392 (0.487) Loss 2.7535 (2.5856) Prec@1 32.812 (36.853) Prec@5 63.281 (67.332) Epoch: [18][1250/5809] Time 0.134 (0.557) Data 0.007 (0.485) Loss 2.3116 (2.5855) Prec@1 41.016 (36.847) Prec@5 73.438 (67.332) Epoch: [18][1260/5809] Time 0.424 (0.556) Data 0.363 (0.484) Loss 2.6181 (2.5862) Prec@1 37.891 (36.839) Prec@5 70.312 (67.329) Epoch: [18][1270/5809] Time 0.195 (0.554) Data 0.135 (0.483) Loss 2.7560 (2.5869) Prec@1 35.938 (36.831) Prec@5 64.844 (67.311) Epoch: [18][1280/5809] Time 0.873 (0.553) Data 0.813 (0.482) Loss 2.3649 (2.5873) Prec@1 41.406 (36.823) Prec@5 73.047 (67.299) Epoch: [18][1290/5809] Time 0.135 (0.552) Data 0.062 (0.481) Loss 2.5377 (2.5877) Prec@1 35.547 (36.811) Prec@5 67.969 (67.298) Epoch: [18][1300/5809] Time 0.132 (0.551) Data 0.001 (0.480) Loss 2.6663 (2.5881) Prec@1 38.672 (36.803) Prec@5 64.844 (67.295) Epoch: [18][1310/5809] Time 0.754 (0.550) Data 0.688 (0.479) Loss 2.7022 (2.5880) Prec@1 37.109 (36.807) Prec@5 61.719 (67.301) Epoch: [18][1320/5809] Time 0.132 (0.549) Data 0.001 (0.477) Loss 2.7668 (2.5884) Prec@1 36.328 (36.806) Prec@5 65.234 (67.294) Epoch: [18][1330/5809] Time 0.467 (0.548) Data 0.401 (0.477) Loss 2.5361 (2.5883) Prec@1 37.891 (36.811) Prec@5 66.016 (67.301) Epoch: [18][1340/5809] Time 0.133 (0.547) Data 0.007 (0.475) Loss 2.5810 (2.5888) Prec@1 33.594 (36.801) Prec@5 65.625 (67.285) Epoch: [18][1350/5809] Time 0.507 (0.546) Data 0.449 (0.475) Loss 2.7240 (2.5887) Prec@1 35.547 (36.802) Prec@5 66.797 (67.290) Epoch: [18][1360/5809] Time 0.354 (0.545) Data 0.294 (0.474) Loss 2.5269 (2.5889) Prec@1 38.672 (36.794) Prec@5 69.922 (67.291) Epoch: [18][1370/5809] Time 0.134 (0.544) Data 0.001 (0.473) Loss 2.5867 (2.5891) Prec@1 36.719 (36.788) Prec@5 65.234 (67.290) Epoch: [18][1380/5809] Time 0.562 (0.543) Data 0.504 (0.471) Loss 2.6041 (2.5893) Prec@1 40.625 (36.788) Prec@5 67.578 (67.293) Epoch: [18][1390/5809] Time 0.140 (0.542) Data 0.058 (0.471) Loss 2.6031 (2.5893) Prec@1 40.625 (36.793) Prec@5 70.312 (67.292) Epoch: [18][1400/5809] Time 0.560 (0.541) Data 0.500 (0.470) Loss 2.6467 (2.5896) Prec@1 35.156 (36.792) Prec@5 64.453 (67.291) Epoch: [18][1410/5809] Time 0.267 (0.540) Data 0.207 (0.469) Loss 2.7567 (2.5899) Prec@1 38.672 (36.797) Prec@5 66.016 (67.285) Epoch: [18][1420/5809] Time 0.254 (0.539) Data 0.195 (0.468) Loss 2.6643 (2.5904) Prec@1 36.328 (36.783) Prec@5 66.797 (67.278) Epoch: [18][1430/5809] Time 0.465 (0.538) Data 0.405 (0.467) Loss 2.5641 (2.5902) Prec@1 39.453 (36.785) Prec@5 68.359 (67.275) Epoch: [18][1440/5809] Time 0.183 (0.538) Data 0.123 (0.466) Loss 2.4460 (2.5902) Prec@1 41.406 (36.790) Prec@5 71.094 (67.273) Epoch: [18][1450/5809] Time 0.218 (0.537) Data 0.158 (0.465) Loss 2.7823 (2.5903) Prec@1 34.766 (36.793) Prec@5 62.109 (67.265) Epoch: [18][1460/5809] Time 0.388 (0.536) Data 0.330 (0.464) Loss 2.3988 (2.5903) Prec@1 39.844 (36.784) Prec@5 69.141 (67.263) Epoch: [18][1470/5809] Time 0.201 (0.535) Data 0.140 (0.463) Loss 2.4672 (2.5900) Prec@1 37.891 (36.794) Prec@5 69.531 (67.270) Epoch: [18][1480/5809] Time 0.520 (0.534) Data 0.458 (0.463) Loss 2.8665 (2.5901) Prec@1 33.984 (36.803) Prec@5 64.062 (67.274) Epoch: [18][1490/5809] Time 0.217 (0.533) Data 0.157 (0.462) Loss 2.4177 (2.5897) Prec@1 39.844 (36.806) Prec@5 69.141 (67.279) Epoch: [18][1500/5809] Time 0.353 (0.532) Data 0.294 (0.461) Loss 2.4420 (2.5894) Prec@1 39.453 (36.815) Prec@5 68.359 (67.279) Epoch: [18][1510/5809] Time 0.345 (0.531) Data 0.285 (0.460) Loss 2.4508 (2.5894) Prec@1 39.062 (36.815) Prec@5 69.531 (67.287) Epoch: [18][1520/5809] Time 0.373 (0.531) Data 0.315 (0.459) Loss 2.4259 (2.5893) Prec@1 39.453 (36.820) Prec@5 70.312 (67.292) Epoch: [18][1530/5809] Time 0.133 (0.530) Data 0.001 (0.458) Loss 2.4782 (2.5893) Prec@1 37.500 (36.821) Prec@5 68.750 (67.294) Epoch: [18][1540/5809] Time 0.563 (0.529) Data 0.503 (0.458) Loss 2.3840 (2.5893) Prec@1 41.016 (36.824) Prec@5 73.438 (67.297) Epoch: [18][1550/5809] Time 0.156 (0.528) Data 0.097 (0.457) Loss 2.6276 (2.5895) Prec@1 37.891 (36.828) Prec@5 64.844 (67.292) Epoch: [18][1560/5809] Time 0.378 (0.527) Data 0.320 (0.456) Loss 2.5581 (2.5894) Prec@1 39.844 (36.832) Prec@5 63.672 (67.292) Epoch: [18][1570/5809] Time 0.399 (0.527) Data 0.340 (0.455) Loss 2.5158 (2.5896) Prec@1 41.797 (36.823) Prec@5 71.094 (67.289) Epoch: [18][1580/5809] Time 0.432 (0.526) Data 0.372 (0.455) Loss 2.5611 (2.5899) Prec@1 39.844 (36.814) Prec@5 67.188 (67.276) Epoch: [18][1590/5809] Time 0.596 (0.526) Data 0.536 (0.454) Loss 2.7311 (2.5900) Prec@1 35.547 (36.819) Prec@5 63.281 (67.276) Epoch: [18][1600/5809] Time 0.227 (0.525) Data 0.164 (0.454) Loss 2.6945 (2.5901) Prec@1 35.547 (36.814) Prec@5 65.625 (67.268) Epoch: [18][1610/5809] Time 0.332 (0.524) Data 0.273 (0.453) Loss 2.6712 (2.5902) Prec@1 33.203 (36.808) Prec@5 67.578 (67.273) Epoch: [18][1620/5809] Time 0.363 (0.524) Data 0.302 (0.452) Loss 2.7532 (2.5907) Prec@1 34.766 (36.807) Prec@5 65.625 (67.263) Epoch: [18][1630/5809] Time 1.980 (0.528) Data 1.912 (0.457) Loss 2.6221 (2.5909) Prec@1 36.719 (36.795) Prec@5 65.234 (67.256) Epoch: [18][1640/5809] Time 1.565 (0.532) Data 1.507 (0.461) Loss 2.7144 (2.5908) Prec@1 33.984 (36.800) Prec@5 62.891 (67.257) Epoch: [18][1650/5809] Time 1.729 (0.537) Data 1.670 (0.466) Loss 2.7402 (2.5911) Prec@1 29.688 (36.791) Prec@5 59.766 (67.250) Epoch: [18][1660/5809] Time 0.446 (0.539) Data 0.388 (0.468) Loss 2.5853 (2.5912) Prec@1 39.453 (36.796) Prec@5 67.969 (67.250) Epoch: [18][1670/5809] Time 0.255 (0.538) Data 0.197 (0.467) Loss 2.6491 (2.5913) Prec@1 39.062 (36.794) Prec@5 67.969 (67.242) Epoch: [18][1680/5809] Time 0.899 (0.537) Data 0.838 (0.466) Loss 2.7715 (2.5915) Prec@1 37.500 (36.791) Prec@5 63.672 (67.239) Epoch: [18][1690/5809] Time 0.142 (0.536) Data 0.001 (0.465) Loss 2.6152 (2.5914) Prec@1 38.281 (36.797) Prec@5 64.844 (67.240) Epoch: [18][1700/5809] Time 1.119 (0.536) Data 1.058 (0.465) Loss 2.5996 (2.5913) Prec@1 38.281 (36.797) Prec@5 66.797 (67.242) Epoch: [18][1710/5809] Time 0.134 (0.535) Data 0.001 (0.464) Loss 2.4793 (2.5913) Prec@1 41.406 (36.800) Prec@5 71.484 (67.246) Epoch: [18][1720/5809] Time 0.953 (0.534) Data 0.895 (0.463) Loss 2.4906 (2.5912) Prec@1 35.547 (36.802) Prec@5 68.750 (67.250) Epoch: [18][1730/5809] Time 0.141 (0.534) Data 0.001 (0.462) Loss 2.6983 (2.5909) Prec@1 35.547 (36.810) Prec@5 65.234 (67.255) Epoch: [18][1740/5809] Time 1.064 (0.533) Data 1.006 (0.462) Loss 2.4949 (2.5909) Prec@1 36.328 (36.810) Prec@5 70.703 (67.255) Epoch: [18][1750/5809] Time 0.191 (0.532) Data 0.122 (0.461) Loss 2.7835 (2.5910) Prec@1 33.984 (36.807) Prec@5 62.891 (67.256) Epoch: [18][1760/5809] Time 0.992 (0.532) Data 0.933 (0.460) Loss 2.4516 (2.5909) Prec@1 39.453 (36.809) Prec@5 63.672 (67.251) Epoch: [18][1770/5809] Time 0.137 (0.533) Data 0.001 (0.462) Loss 2.6634 (2.5915) Prec@1 34.375 (36.801) Prec@5 67.969 (67.243) Epoch: [18][1780/5809] Time 2.449 (0.534) Data 2.391 (0.463) Loss 2.3824 (2.5913) Prec@1 40.234 (36.804) Prec@5 73.828 (67.248) Epoch: [18][1790/5809] Time 0.309 (0.534) Data 0.249 (0.462) Loss 2.7984 (2.5915) Prec@1 30.859 (36.801) Prec@5 61.719 (67.246) Epoch: [18][1800/5809] Time 0.328 (0.534) Data 0.268 (0.463) Loss 2.5757 (2.5916) Prec@1 36.719 (36.807) Prec@5 66.797 (67.247) Epoch: [18][1810/5809] Time 1.526 (0.534) Data 1.467 (0.463) Loss 2.6580 (2.5919) Prec@1 35.156 (36.798) Prec@5 67.188 (67.248) Epoch: [18][1820/5809] Time 0.131 (0.535) Data 0.001 (0.463) Loss 2.7287 (2.5918) Prec@1 32.422 (36.797) Prec@5 63.672 (67.246) Epoch: [18][1830/5809] Time 1.669 (0.535) Data 1.608 (0.463) Loss 2.4450 (2.5913) Prec@1 37.109 (36.812) Prec@5 69.141 (67.252) Epoch: [18][1840/5809] Time 1.920 (0.535) Data 1.853 (0.464) Loss 2.6886 (2.5918) Prec@1 35.547 (36.809) Prec@5 65.234 (67.244) Epoch: [18][1850/5809] Time 0.125 (0.535) Data 0.050 (0.463) Loss 2.8336 (2.5919) Prec@1 32.422 (36.807) Prec@5 60.938 (67.239) Epoch: [18][1860/5809] Time 1.024 (0.534) Data 0.963 (0.463) Loss 2.7450 (2.5917) Prec@1 32.812 (36.812) Prec@5 63.281 (67.242) Epoch: [18][1870/5809] Time 0.130 (0.534) Data 0.045 (0.462) Loss 2.6669 (2.5917) Prec@1 32.812 (36.807) Prec@5 64.453 (67.246) Epoch: [18][1880/5809] Time 1.393 (0.534) Data 1.333 (0.462) Loss 2.6165 (2.5917) Prec@1 37.891 (36.811) Prec@5 66.406 (67.245) Epoch: [18][1890/5809] Time 1.031 (0.534) Data 0.972 (0.462) Loss 2.7957 (2.5918) Prec@1 31.641 (36.810) Prec@5 60.156 (67.236) Epoch: [18][1900/5809] Time 0.391 (0.534) Data 0.327 (0.462) Loss 2.6927 (2.5918) Prec@1 37.500 (36.807) Prec@5 69.141 (67.234) Epoch: [18][1910/5809] Time 1.504 (0.534) Data 1.445 (0.462) Loss 2.7022 (2.5918) Prec@1 36.719 (36.808) Prec@5 66.406 (67.239) Epoch: [18][1920/5809] Time 0.330 (0.533) Data 0.270 (0.461) Loss 2.6815 (2.5917) Prec@1 38.281 (36.812) Prec@5 65.625 (67.241) Epoch: [18][1930/5809] Time 0.131 (0.534) Data 0.001 (0.462) Loss 2.4725 (2.5917) Prec@1 35.938 (36.805) Prec@5 69.531 (67.240) Epoch: [18][1940/5809] Time 0.713 (0.534) Data 0.655 (0.462) Loss 2.5484 (2.5922) Prec@1 35.547 (36.799) Prec@5 68.750 (67.229) Epoch: [18][1950/5809] Time 0.133 (0.533) Data 0.001 (0.461) Loss 2.4540 (2.5918) Prec@1 40.625 (36.807) Prec@5 71.094 (67.238) Epoch: [18][1960/5809] Time 0.133 (0.533) Data 0.018 (0.461) Loss 2.7454 (2.5917) Prec@1 36.719 (36.809) Prec@5 62.109 (67.236) Epoch: [18][1970/5809] Time 1.341 (0.534) Data 1.282 (0.462) Loss 2.5620 (2.5915) Prec@1 37.109 (36.812) Prec@5 68.750 (67.238) Epoch: [18][1980/5809] Time 0.133 (0.533) Data 0.001 (0.461) Loss 2.6562 (2.5915) Prec@1 35.156 (36.814) Prec@5 67.578 (67.238) Epoch: [18][1990/5809] Time 0.131 (0.533) Data 0.050 (0.461) Loss 2.3496 (2.5918) Prec@1 41.797 (36.809) Prec@5 71.484 (67.230) Epoch: [18][2000/5809] Time 1.021 (0.534) Data 0.959 (0.462) Loss 2.7565 (2.5919) Prec@1 35.547 (36.807) Prec@5 62.891 (67.229) Epoch: [18][2010/5809] Time 0.133 (0.534) Data 0.001 (0.462) Loss 2.5905 (2.5920) Prec@1 34.766 (36.802) Prec@5 65.625 (67.223) Epoch: [18][2020/5809] Time 0.704 (0.534) Data 0.646 (0.462) Loss 2.8048 (2.5922) Prec@1 35.938 (36.800) Prec@5 64.453 (67.222) Epoch: [18][2030/5809] Time 0.582 (0.534) Data 0.523 (0.462) Loss 2.6063 (2.5921) Prec@1 34.766 (36.799) Prec@5 68.750 (67.225) Epoch: [18][2040/5809] Time 0.233 (0.534) Data 0.174 (0.462) Loss 2.4959 (2.5921) Prec@1 36.719 (36.800) Prec@5 69.922 (67.226) Epoch: [18][2050/5809] Time 0.625 (0.534) Data 0.565 (0.462) Loss 2.5836 (2.5922) Prec@1 35.547 (36.800) Prec@5 64.062 (67.221) Epoch: [18][2060/5809] Time 0.722 (0.534) Data 0.662 (0.462) Loss 2.5754 (2.5919) Prec@1 33.984 (36.807) Prec@5 64.062 (67.228) Epoch: [18][2070/5809] Time 0.136 (0.534) Data 0.077 (0.462) Loss 2.6847 (2.5921) Prec@1 35.938 (36.795) Prec@5 65.234 (67.224) Epoch: [18][2080/5809] Time 0.151 (0.534) Data 0.091 (0.462) Loss 2.5207 (2.5923) Prec@1 39.062 (36.790) Prec@5 69.531 (67.218) Epoch: [18][2090/5809] Time 0.791 (0.534) Data 0.729 (0.462) Loss 2.6512 (2.5923) Prec@1 34.375 (36.793) Prec@5 66.406 (67.217) Epoch: [18][2100/5809] Time 0.312 (0.533) Data 0.252 (0.461) Loss 2.8192 (2.5926) Prec@1 33.984 (36.786) Prec@5 62.500 (67.215) Epoch: [18][2110/5809] Time 1.098 (0.534) Data 1.040 (0.462) Loss 2.7797 (2.5928) Prec@1 32.422 (36.782) Prec@5 62.891 (67.211) Epoch: [18][2120/5809] Time 0.624 (0.533) Data 0.564 (0.461) Loss 2.4754 (2.5925) Prec@1 41.406 (36.791) Prec@5 71.484 (67.219) Epoch: [18][2130/5809] Time 0.133 (0.533) Data 0.001 (0.461) Loss 2.4731 (2.5927) Prec@1 39.453 (36.790) Prec@5 67.188 (67.212) Epoch: [18][2140/5809] Time 0.968 (0.534) Data 0.909 (0.462) Loss 2.6864 (2.5928) Prec@1 32.422 (36.787) Prec@5 62.109 (67.206) Epoch: [18][2150/5809] Time 0.222 (0.533) Data 0.163 (0.461) Loss 2.4339 (2.5928) Prec@1 38.672 (36.789) Prec@5 69.141 (67.208) Epoch: [18][2160/5809] Time 0.132 (0.533) Data 0.045 (0.461) Loss 2.6738 (2.5931) Prec@1 33.984 (36.784) Prec@5 66.016 (67.207) Epoch: [18][2170/5809] Time 0.844 (0.533) Data 0.785 (0.461) Loss 2.4399 (2.5931) Prec@1 36.328 (36.789) Prec@5 70.703 (67.206) Epoch: [18][2180/5809] Time 0.256 (0.533) Data 0.195 (0.461) Loss 2.5038 (2.5933) Prec@1 37.891 (36.784) Prec@5 67.969 (67.198) Epoch: [18][2190/5809] Time 0.447 (0.533) Data 0.387 (0.461) Loss 2.5517 (2.5930) Prec@1 38.281 (36.788) Prec@5 66.797 (67.205) Epoch: [18][2200/5809] Time 0.135 (0.533) Data 0.001 (0.461) Loss 2.5512 (2.5929) Prec@1 36.719 (36.792) Prec@5 66.406 (67.208) Epoch: [18][2210/5809] Time 1.551 (0.533) Data 1.488 (0.461) Loss 2.4335 (2.5930) Prec@1 41.797 (36.786) Prec@5 69.922 (67.208) Epoch: [18][2220/5809] Time 0.370 (0.533) Data 0.312 (0.461) Loss 2.6148 (2.5928) Prec@1 35.547 (36.787) Prec@5 66.406 (67.210) Epoch: [18][2230/5809] Time 0.325 (0.532) Data 0.265 (0.460) Loss 2.7124 (2.5926) Prec@1 34.375 (36.791) Prec@5 64.844 (67.214) Epoch: [18][2240/5809] Time 1.158 (0.533) Data 1.100 (0.460) Loss 2.8971 (2.5927) Prec@1 30.469 (36.787) Prec@5 59.766 (67.209) Epoch: [18][2250/5809] Time 0.492 (0.532) Data 0.429 (0.460) Loss 2.4682 (2.5927) Prec@1 38.281 (36.787) Prec@5 67.969 (67.206) Epoch: [18][2260/5809] Time 0.224 (0.532) Data 0.164 (0.460) Loss 2.4442 (2.5927) Prec@1 41.406 (36.788) Prec@5 70.703 (67.208) Epoch: [18][2270/5809] Time 0.910 (0.532) Data 0.850 (0.460) Loss 2.6208 (2.5928) Prec@1 32.422 (36.780) Prec@5 67.969 (67.207) Epoch: [18][2280/5809] Time 0.136 (0.532) Data 0.001 (0.460) Loss 2.6338 (2.5928) Prec@1 32.422 (36.783) Prec@5 69.922 (67.209) Epoch: [18][2290/5809] Time 0.651 (0.532) Data 0.592 (0.460) Loss 2.4819 (2.5930) Prec@1 35.547 (36.774) Prec@5 70.703 (67.209) Epoch: [18][2300/5809] Time 0.636 (0.532) Data 0.578 (0.460) Loss 2.8109 (2.5931) Prec@1 32.422 (36.773) Prec@5 61.719 (67.205) Epoch: [18][2310/5809] Time 0.554 (0.532) Data 0.496 (0.460) Loss 2.7085 (2.5934) Prec@1 36.719 (36.771) Prec@5 64.062 (67.201) Epoch: [18][2320/5809] Time 0.425 (0.532) Data 0.366 (0.460) Loss 2.4796 (2.5932) Prec@1 38.281 (36.770) Prec@5 72.656 (67.207) Epoch: [18][2330/5809] Time 1.202 (0.532) Data 1.138 (0.460) Loss 2.5557 (2.5935) Prec@1 37.109 (36.767) Prec@5 68.359 (67.203) Epoch: [18][2340/5809] Time 0.160 (0.532) Data 0.102 (0.460) Loss 2.5921 (2.5934) Prec@1 37.891 (36.771) Prec@5 66.406 (67.206) Epoch: [18][2350/5809] Time 0.355 (0.531) Data 0.296 (0.459) Loss 2.5044 (2.5937) Prec@1 37.500 (36.764) Prec@5 70.703 (67.199) Epoch: [18][2360/5809] Time 1.020 (0.532) Data 0.962 (0.460) Loss 2.4511 (2.5934) Prec@1 41.406 (36.771) Prec@5 71.875 (67.204) Epoch: [18][2370/5809] Time 0.621 (0.532) Data 0.561 (0.460) Loss 2.5925 (2.5936) Prec@1 37.500 (36.765) Prec@5 67.188 (67.199) Epoch: [18][2380/5809] Time 0.419 (0.532) Data 0.359 (0.460) Loss 2.5439 (2.5936) Prec@1 33.203 (36.764) Prec@5 64.844 (67.196) Epoch: [18][2390/5809] Time 0.489 (0.532) Data 0.426 (0.459) Loss 2.6217 (2.5935) Prec@1 33.984 (36.765) Prec@5 66.016 (67.196) Epoch: [18][2400/5809] Time 0.452 (0.532) Data 0.388 (0.459) Loss 2.6495 (2.5935) Prec@1 33.594 (36.763) Prec@5 67.969 (67.193) Epoch: [18][2410/5809] Time 0.752 (0.531) Data 0.692 (0.459) Loss 2.5422 (2.5936) Prec@1 37.109 (36.763) Prec@5 70.703 (67.193) Epoch: [18][2420/5809] Time 0.133 (0.531) Data 0.001 (0.459) Loss 2.7909 (2.5938) Prec@1 34.766 (36.761) Prec@5 63.281 (67.191) Epoch: [18][2430/5809] Time 0.131 (0.531) Data 0.001 (0.459) Loss 2.6686 (2.5938) Prec@1 35.547 (36.756) Prec@5 67.188 (67.188) Epoch: [18][2440/5809] Time 1.253 (0.531) Data 1.194 (0.459) Loss 2.5067 (2.5936) Prec@1 37.109 (36.760) Prec@5 69.922 (67.192) Epoch: [18][2450/5809] Time 0.440 (0.531) Data 0.381 (0.459) Loss 2.6708 (2.5938) Prec@1 35.938 (36.753) Prec@5 66.016 (67.189) Epoch: [18][2460/5809] Time 0.640 (0.531) Data 0.580 (0.459) Loss 2.6300 (2.5937) Prec@1 32.812 (36.750) Prec@5 64.453 (67.191) Epoch: [18][2470/5809] Time 0.597 (0.531) Data 0.539 (0.459) Loss 2.5830 (2.5936) Prec@1 37.891 (36.747) Prec@5 67.188 (67.191) Epoch: [18][2480/5809] Time 0.512 (0.531) Data 0.454 (0.459) Loss 2.6956 (2.5936) Prec@1 29.688 (36.744) Prec@5 66.406 (67.188) Epoch: [18][2490/5809] Time 0.134 (0.531) Data 0.001 (0.459) Loss 2.7919 (2.5939) Prec@1 35.156 (36.740) Prec@5 63.281 (67.182) Epoch: [18][2500/5809] Time 0.947 (0.531) Data 0.888 (0.459) Loss 2.5800 (2.5940) Prec@1 38.672 (36.737) Prec@5 67.969 (67.184) Epoch: [18][2510/5809] Time 1.068 (0.531) Data 1.005 (0.459) Loss 2.5230 (2.5941) Prec@1 35.938 (36.741) Prec@5 69.922 (67.181) Epoch: [18][2520/5809] Time 0.420 (0.531) Data 0.362 (0.458) Loss 2.5580 (2.5940) Prec@1 40.625 (36.745) Prec@5 69.922 (67.184) Epoch: [18][2530/5809] Time 1.090 (0.531) Data 1.028 (0.458) Loss 2.6902 (2.5940) Prec@1 33.594 (36.741) Prec@5 64.844 (67.184) Epoch: [18][2540/5809] Time 1.526 (0.531) Data 1.465 (0.459) Loss 2.5683 (2.5940) Prec@1 37.500 (36.743) Prec@5 65.625 (67.184) Epoch: [18][2550/5809] Time 0.134 (0.530) Data 0.001 (0.458) Loss 2.7379 (2.5942) Prec@1 34.375 (36.740) Prec@5 61.719 (67.180) Epoch: [18][2560/5809] Time 1.257 (0.530) Data 1.196 (0.458) Loss 2.5908 (2.5943) Prec@1 36.719 (36.742) Prec@5 69.531 (67.176) Epoch: [18][2570/5809] Time 0.702 (0.530) Data 0.643 (0.458) Loss 2.4942 (2.5942) Prec@1 37.500 (36.743) Prec@5 69.531 (67.184) Epoch: [18][2580/5809] Time 0.142 (0.530) Data 0.001 (0.458) Loss 2.5731 (2.5945) Prec@1 36.719 (36.741) Prec@5 69.922 (67.184) Epoch: [18][2590/5809] Time 0.351 (0.530) Data 0.292 (0.458) Loss 2.7421 (2.5946) Prec@1 32.031 (36.736) Prec@5 64.062 (67.181) Epoch: [18][2600/5809] Time 0.443 (0.530) Data 0.384 (0.458) Loss 2.5272 (2.5945) Prec@1 39.062 (36.738) Prec@5 69.531 (67.181) Epoch: [18][2610/5809] Time 0.315 (0.530) Data 0.256 (0.457) Loss 2.7238 (2.5946) Prec@1 30.859 (36.739) Prec@5 62.109 (67.178) Epoch: [18][2620/5809] Time 1.027 (0.530) Data 0.967 (0.458) Loss 2.6229 (2.5946) Prec@1 32.422 (36.739) Prec@5 69.922 (67.180) Epoch: [18][2630/5809] Time 0.969 (0.530) Data 0.909 (0.458) Loss 2.6265 (2.5946) Prec@1 38.281 (36.738) Prec@5 66.797 (67.181) Epoch: [18][2640/5809] Time 0.305 (0.530) Data 0.243 (0.457) Loss 2.5313 (2.5947) Prec@1 37.891 (36.733) Prec@5 68.359 (67.178) Epoch: [18][2650/5809] Time 0.610 (0.530) Data 0.546 (0.457) Loss 2.6688 (2.5946) Prec@1 38.672 (36.736) Prec@5 64.062 (67.181) Epoch: [18][2660/5809] Time 0.792 (0.530) Data 0.733 (0.458) Loss 2.5471 (2.5946) Prec@1 33.203 (36.731) Prec@5 67.969 (67.180) Epoch: [18][2670/5809] Time 0.142 (0.530) Data 0.082 (0.457) Loss 2.7456 (2.5946) Prec@1 33.984 (36.732) Prec@5 61.328 (67.177) Epoch: [18][2680/5809] Time 0.247 (0.529) Data 0.189 (0.457) Loss 2.7161 (2.5946) Prec@1 37.109 (36.733) Prec@5 61.328 (67.176) Epoch: [18][2690/5809] Time 0.133 (0.530) Data 0.001 (0.457) Loss 2.8302 (2.5950) Prec@1 32.812 (36.730) Prec@5 62.109 (67.173) Epoch: [18][2700/5809] Time 0.291 (0.529) Data 0.233 (0.457) Loss 2.5944 (2.5951) Prec@1 36.719 (36.727) Prec@5 64.062 (67.166) Epoch: [18][2710/5809] Time 0.134 (0.529) Data 0.057 (0.457) Loss 2.7249 (2.5950) Prec@1 34.766 (36.729) Prec@5 65.625 (67.166) Epoch: [18][2720/5809] Time 0.532 (0.529) Data 0.473 (0.457) Loss 2.6599 (2.5950) Prec@1 36.328 (36.731) Prec@5 64.453 (67.166) Epoch: [18][2730/5809] Time 0.561 (0.529) Data 0.502 (0.457) Loss 2.7864 (2.5950) Prec@1 28.906 (36.730) Prec@5 63.281 (67.165) Epoch: [18][2740/5809] Time 0.288 (0.529) Data 0.230 (0.457) Loss 2.6643 (2.5952) Prec@1 32.031 (36.724) Prec@5 67.969 (67.164) Epoch: [18][2750/5809] Time 0.391 (0.529) Data 0.331 (0.457) Loss 2.5528 (2.5954) Prec@1 35.156 (36.721) Prec@5 68.750 (67.156) Epoch: [18][2760/5809] Time 0.480 (0.529) Data 0.417 (0.456) Loss 2.4549 (2.5954) Prec@1 39.062 (36.725) Prec@5 73.047 (67.159) Epoch: [18][2770/5809] Time 0.218 (0.529) Data 0.155 (0.456) Loss 2.3770 (2.5954) Prec@1 37.500 (36.724) Prec@5 75.000 (67.163) Epoch: [18][2780/5809] Time 0.135 (0.529) Data 0.001 (0.457) Loss 2.6383 (2.5956) Prec@1 37.109 (36.722) Prec@5 66.406 (67.159) Epoch: [18][2790/5809] Time 0.480 (0.529) Data 0.421 (0.456) Loss 2.4898 (2.5955) Prec@1 39.453 (36.724) Prec@5 69.922 (67.163) Epoch: [18][2800/5809] Time 0.233 (0.528) Data 0.174 (0.456) Loss 2.6477 (2.5955) Prec@1 38.672 (36.725) Prec@5 68.359 (67.163) Epoch: [18][2810/5809] Time 0.215 (0.529) Data 0.152 (0.456) Loss 2.6764 (2.5956) Prec@1 34.375 (36.721) Prec@5 66.797 (67.160) Epoch: [18][2820/5809] Time 0.927 (0.528) Data 0.866 (0.456) Loss 2.7224 (2.5955) Prec@1 34.766 (36.725) Prec@5 66.016 (67.168) Epoch: [18][2830/5809] Time 0.133 (0.528) Data 0.001 (0.456) Loss 2.6785 (2.5956) Prec@1 34.375 (36.724) Prec@5 65.234 (67.167) Epoch: [18][2840/5809] Time 0.133 (0.528) Data 0.001 (0.456) Loss 2.8073 (2.5956) Prec@1 35.156 (36.724) Prec@5 63.672 (67.164) Epoch: [18][2850/5809] Time 0.417 (0.528) Data 0.356 (0.455) Loss 2.7206 (2.5957) Prec@1 35.547 (36.725) Prec@5 65.234 (67.163) Epoch: [18][2860/5809] Time 0.192 (0.528) Data 0.133 (0.455) Loss 2.8362 (2.5958) Prec@1 32.812 (36.721) Prec@5 61.719 (67.162) Epoch: [18][2870/5809] Time 0.336 (0.528) Data 0.278 (0.456) Loss 2.6746 (2.5957) Prec@1 38.672 (36.726) Prec@5 64.453 (67.160) Epoch: [18][2880/5809] Time 0.589 (0.528) Data 0.529 (0.455) Loss 2.6470 (2.5954) Prec@1 34.766 (36.732) Prec@5 65.234 (67.164) Epoch: [18][2890/5809] Time 0.133 (0.528) Data 0.001 (0.455) Loss 2.6746 (2.5953) Prec@1 34.375 (36.731) Prec@5 67.188 (67.169) Epoch: [18][2900/5809] Time 0.501 (0.528) Data 0.441 (0.455) Loss 2.6191 (2.5952) Prec@1 32.422 (36.734) Prec@5 67.969 (67.173) Epoch: [18][2910/5809] Time 0.133 (0.527) Data 0.048 (0.455) Loss 2.5074 (2.5949) Prec@1 41.016 (36.741) Prec@5 69.141 (67.178) Epoch: [18][2920/5809] Time 0.138 (0.527) Data 0.001 (0.455) Loss 2.4931 (2.5949) Prec@1 36.328 (36.737) Prec@5 70.703 (67.179) Epoch: [18][2930/5809] Time 0.493 (0.527) Data 0.434 (0.455) Loss 2.5265 (2.5949) Prec@1 36.328 (36.736) Prec@5 71.094 (67.180) Epoch: [18][2940/5809] Time 0.274 (0.527) Data 0.216 (0.455) Loss 2.7920 (2.5950) Prec@1 31.250 (36.737) Prec@5 68.750 (67.179) Epoch: [18][2950/5809] Time 0.545 (0.527) Data 0.487 (0.455) Loss 2.5262 (2.5950) Prec@1 37.500 (36.738) Prec@5 68.359 (67.179) Epoch: [18][2960/5809] Time 0.134 (0.527) Data 0.001 (0.454) Loss 2.4633 (2.5951) Prec@1 41.406 (36.738) Prec@5 67.578 (67.177) Epoch: [18][2970/5809] Time 0.301 (0.527) Data 0.242 (0.454) Loss 2.5934 (2.5952) Prec@1 39.062 (36.737) Prec@5 66.406 (67.175) Epoch: [18][2980/5809] Time 0.128 (0.527) Data 0.045 (0.454) Loss 2.4516 (2.5952) Prec@1 39.844 (36.741) Prec@5 67.578 (67.176) Epoch: [18][2990/5809] Time 0.132 (0.527) Data 0.001 (0.454) Loss 2.6408 (2.5955) Prec@1 35.547 (36.740) Prec@5 61.328 (67.170) Epoch: [18][3000/5809] Time 0.339 (0.527) Data 0.281 (0.454) Loss 2.6142 (2.5956) Prec@1 36.719 (36.736) Prec@5 66.797 (67.170) Epoch: [18][3010/5809] Time 0.471 (0.527) Data 0.412 (0.454) Loss 2.7364 (2.5958) Prec@1 33.594 (36.734) Prec@5 66.016 (67.167) Epoch: [18][3020/5809] Time 0.133 (0.526) Data 0.001 (0.454) Loss 2.2802 (2.5958) Prec@1 41.797 (36.735) Prec@5 71.484 (67.170) Epoch: [18][3030/5809] Time 0.306 (0.527) Data 0.248 (0.454) Loss 2.5845 (2.5957) Prec@1 35.547 (36.735) Prec@5 67.188 (67.168) Epoch: [18][3040/5809] Time 0.699 (0.527) Data 0.640 (0.454) Loss 2.4286 (2.5957) Prec@1 38.281 (36.729) Prec@5 71.875 (67.168) Epoch: [18][3050/5809] Time 0.218 (0.526) Data 0.160 (0.454) Loss 2.5857 (2.5959) Prec@1 37.109 (36.724) Prec@5 69.922 (67.165) Epoch: [18][3060/5809] Time 0.130 (0.526) Data 0.001 (0.454) Loss 2.7940 (2.5960) Prec@1 31.250 (36.718) Prec@5 64.844 (67.165) Epoch: [18][3070/5809] Time 0.989 (0.527) Data 0.929 (0.454) Loss 2.7618 (2.5959) Prec@1 34.766 (36.722) Prec@5 66.016 (67.167) Epoch: [18][3080/5809] Time 0.289 (0.526) Data 0.229 (0.454) Loss 2.6174 (2.5961) Prec@1 34.375 (36.719) Prec@5 67.188 (67.164) Epoch: [18][3090/5809] Time 0.253 (0.526) Data 0.192 (0.454) Loss 2.4242 (2.5960) Prec@1 39.453 (36.725) Prec@5 71.094 (67.166) Epoch: [18][3100/5809] Time 1.236 (0.526) Data 1.171 (0.454) Loss 2.6960 (2.5961) Prec@1 32.422 (36.724) Prec@5 69.141 (67.165) Epoch: [18][3110/5809] Time 0.972 (0.526) Data 0.911 (0.454) Loss 2.5827 (2.5960) Prec@1 34.766 (36.727) Prec@5 67.578 (67.168) Epoch: [18][3120/5809] Time 0.141 (0.526) Data 0.001 (0.453) Loss 2.5459 (2.5961) Prec@1 38.281 (36.726) Prec@5 68.750 (67.165) Epoch: [18][3130/5809] Time 0.352 (0.526) Data 0.292 (0.454) Loss 2.6247 (2.5960) Prec@1 38.281 (36.728) Prec@5 66.016 (67.170) Epoch: [18][3140/5809] Time 0.989 (0.526) Data 0.930 (0.454) Loss 2.7167 (2.5961) Prec@1 34.375 (36.727) Prec@5 64.453 (67.168) Epoch: [18][3150/5809] Time 0.132 (0.526) Data 0.001 (0.453) Loss 2.6593 (2.5964) Prec@1 37.500 (36.724) Prec@5 67.969 (67.166) Epoch: [18][3160/5809] Time 0.133 (0.526) Data 0.001 (0.453) Loss 2.5227 (2.5965) Prec@1 39.453 (36.723) Prec@5 69.922 (67.163) Epoch: [18][3170/5809] Time 0.637 (0.526) Data 0.579 (0.453) Loss 2.5035 (2.5966) Prec@1 35.938 (36.720) Prec@5 71.484 (67.159) Epoch: [18][3180/5809] Time 0.133 (0.526) Data 0.001 (0.453) Loss 2.6532 (2.5966) Prec@1 32.812 (36.715) Prec@5 68.359 (67.159) Epoch: [18][3190/5809] Time 0.276 (0.526) Data 0.216 (0.453) Loss 2.6633 (2.5967) Prec@1 37.109 (36.713) Prec@5 65.234 (67.156) Epoch: [18][3200/5809] Time 0.556 (0.526) Data 0.496 (0.453) Loss 2.5463 (2.5967) Prec@1 36.328 (36.714) Prec@5 71.094 (67.160) Epoch: [18][3210/5809] Time 0.487 (0.525) Data 0.427 (0.453) Loss 2.4389 (2.5967) Prec@1 37.109 (36.711) Prec@5 70.312 (67.157) Epoch: [18][3220/5809] Time 0.478 (0.526) Data 0.415 (0.453) Loss 2.5669 (2.5965) Prec@1 41.797 (36.719) Prec@5 65.234 (67.161) Epoch: [18][3230/5809] Time 1.007 (0.526) Data 0.948 (0.453) Loss 2.4465 (2.5966) Prec@1 41.797 (36.715) Prec@5 67.969 (67.158) Epoch: [18][3240/5809] Time 0.132 (0.525) Data 0.001 (0.453) Loss 2.7484 (2.5967) Prec@1 35.938 (36.712) Prec@5 65.625 (67.157) Epoch: [18][3250/5809] Time 0.881 (0.525) Data 0.822 (0.453) Loss 2.6268 (2.5968) Prec@1 38.672 (36.709) Prec@5 67.578 (67.154) Epoch: [18][3260/5809] Time 0.346 (0.525) Data 0.285 (0.452) Loss 2.4432 (2.5967) Prec@1 41.406 (36.712) Prec@5 74.219 (67.158) Epoch: [18][3270/5809] Time 0.129 (0.525) Data 0.043 (0.452) Loss 2.7200 (2.5966) Prec@1 37.891 (36.714) Prec@5 66.406 (67.159) Epoch: [18][3280/5809] Time 0.664 (0.525) Data 0.598 (0.452) Loss 2.4115 (2.5966) Prec@1 40.234 (36.711) Prec@5 68.359 (67.159) Epoch: [18][3290/5809] Time 0.709 (0.525) Data 0.645 (0.452) Loss 2.5941 (2.5965) Prec@1 40.625 (36.714) Prec@5 66.406 (67.160) Epoch: [18][3300/5809] Time 0.134 (0.525) Data 0.054 (0.452) Loss 2.4065 (2.5965) Prec@1 40.234 (36.713) Prec@5 71.094 (67.163) Epoch: [18][3310/5809] Time 0.135 (0.525) Data 0.001 (0.452) Loss 2.5985 (2.5965) Prec@1 41.016 (36.715) Prec@5 67.188 (67.162) Epoch: [18][3320/5809] Time 0.525 (0.525) Data 0.458 (0.452) Loss 2.5510 (2.5964) Prec@1 40.234 (36.718) Prec@5 65.234 (67.163) Epoch: [18][3330/5809] Time 0.291 (0.525) Data 0.229 (0.452) Loss 2.5034 (2.5963) Prec@1 37.891 (36.719) Prec@5 71.484 (67.165) Epoch: [18][3340/5809] Time 0.188 (0.525) Data 0.128 (0.452) Loss 2.6380 (2.5965) Prec@1 37.109 (36.717) Prec@5 64.453 (67.162) Epoch: [18][3350/5809] Time 0.888 (0.525) Data 0.830 (0.452) Loss 2.3966 (2.5964) Prec@1 35.547 (36.716) Prec@5 70.312 (67.160) Epoch: [18][3360/5809] Time 0.132 (0.525) Data 0.001 (0.452) Loss 2.5073 (2.5965) Prec@1 40.625 (36.716) Prec@5 69.531 (67.161) Epoch: [18][3370/5809] Time 0.680 (0.525) Data 0.622 (0.452) Loss 2.7014 (2.5966) Prec@1 40.625 (36.719) Prec@5 65.234 (67.159) Epoch: [18][3380/5809] Time 0.931 (0.525) Data 0.868 (0.452) Loss 2.4629 (2.5965) Prec@1 37.891 (36.718) Prec@5 68.750 (67.159) Epoch: [18][3390/5809] Time 0.237 (0.524) Data 0.179 (0.451) Loss 2.6714 (2.5964) Prec@1 33.594 (36.720) Prec@5 65.625 (67.162) Epoch: [18][3400/5809] Time 0.154 (0.524) Data 0.096 (0.451) Loss 2.6647 (2.5962) Prec@1 35.547 (36.724) Prec@5 69.141 (67.167) Epoch: [18][3410/5809] Time 0.965 (0.525) Data 0.907 (0.452) Loss 2.3960 (2.5962) Prec@1 40.625 (36.727) Prec@5 67.969 (67.168) Epoch: [18][3420/5809] Time 0.136 (0.525) Data 0.001 (0.452) Loss 2.5839 (2.5960) Prec@1 35.547 (36.728) Prec@5 67.969 (67.170) Epoch: [18][3430/5809] Time 0.225 (0.524) Data 0.166 (0.451) Loss 2.5166 (2.5959) Prec@1 41.406 (36.732) Prec@5 68.750 (67.171) Epoch: [18][3440/5809] Time 0.714 (0.524) Data 0.655 (0.451) Loss 2.7690 (2.5959) Prec@1 33.984 (36.734) Prec@5 64.844 (67.174) Epoch: [18][3450/5809] Time 0.126 (0.524) Data 0.048 (0.451) Loss 2.6001 (2.5960) Prec@1 33.984 (36.729) Prec@5 66.797 (67.173) Epoch: [18][3460/5809] Time 0.554 (0.524) Data 0.495 (0.451) Loss 2.5779 (2.5961) Prec@1 39.062 (36.732) Prec@5 64.844 (67.172) Epoch: [18][3470/5809] Time 0.229 (0.523) Data 0.169 (0.450) Loss 2.7342 (2.5964) Prec@1 37.500 (36.728) Prec@5 62.500 (67.166) Epoch: [18][3480/5809] Time 0.188 (0.523) Data 0.127 (0.450) Loss 2.7575 (2.5966) Prec@1 31.250 (36.728) Prec@5 64.453 (67.160) Epoch: [18][3490/5809] Time 0.706 (0.522) Data 0.646 (0.450) Loss 2.6972 (2.5967) Prec@1 36.328 (36.726) Prec@5 65.234 (67.158) Epoch: [18][3500/5809] Time 0.585 (0.522) Data 0.527 (0.449) Loss 2.5946 (2.5969) Prec@1 35.547 (36.724) Prec@5 66.797 (67.157) Epoch: [18][3510/5809] Time 0.855 (0.522) Data 0.796 (0.449) Loss 2.7606 (2.5970) Prec@1 31.250 (36.723) Prec@5 65.234 (67.156) Epoch: [18][3520/5809] Time 0.595 (0.521) Data 0.535 (0.449) Loss 2.7196 (2.5972) Prec@1 30.078 (36.717) Prec@5 64.453 (67.151) Epoch: [18][3530/5809] Time 0.133 (0.521) Data 0.074 (0.448) Loss 2.5911 (2.5972) Prec@1 38.281 (36.717) Prec@5 68.359 (67.152) Epoch: [18][3540/5809] Time 0.186 (0.521) Data 0.125 (0.448) Loss 2.4585 (2.5970) Prec@1 40.625 (36.720) Prec@5 69.141 (67.154) Epoch: [18][3550/5809] Time 0.559 (0.520) Data 0.499 (0.447) Loss 2.7057 (2.5971) Prec@1 34.766 (36.717) Prec@5 62.109 (67.153) Epoch: [18][3560/5809] Time 0.139 (0.520) Data 0.043 (0.447) Loss 2.5142 (2.5972) Prec@1 38.281 (36.713) Prec@5 67.188 (67.153) Epoch: [18][3570/5809] Time 0.528 (0.520) Data 0.470 (0.447) Loss 2.7208 (2.5971) Prec@1 39.844 (36.719) Prec@5 65.234 (67.154) Epoch: [18][3580/5809] Time 0.137 (0.519) Data 0.046 (0.446) Loss 2.4693 (2.5972) Prec@1 37.109 (36.716) Prec@5 74.219 (67.155) Epoch: [18][3590/5809] Time 1.189 (0.519) Data 1.130 (0.446) Loss 2.6809 (2.5971) Prec@1 35.547 (36.716) Prec@5 64.844 (67.155) Epoch: [18][3600/5809] Time 0.444 (0.519) Data 0.385 (0.446) Loss 2.6307 (2.5970) Prec@1 35.156 (36.719) Prec@5 66.406 (67.157) Epoch: [18][3610/5809] Time 0.833 (0.518) Data 0.775 (0.445) Loss 2.7183 (2.5970) Prec@1 32.812 (36.716) Prec@5 65.234 (67.156) Epoch: [18][3620/5809] Time 0.904 (0.518) Data 0.844 (0.445) Loss 2.5786 (2.5970) Prec@1 41.797 (36.714) Prec@5 68.359 (67.157) Epoch: [18][3630/5809] Time 0.297 (0.518) Data 0.238 (0.445) Loss 2.4657 (2.5969) Prec@1 37.891 (36.716) Prec@5 71.484 (67.158) Epoch: [18][3640/5809] Time 1.000 (0.517) Data 0.933 (0.444) Loss 2.6130 (2.5970) Prec@1 36.328 (36.715) Prec@5 67.188 (67.155) Epoch: [18][3650/5809] Time 0.164 (0.517) Data 0.104 (0.444) Loss 2.5712 (2.5970) Prec@1 39.453 (36.715) Prec@5 67.188 (67.156) Epoch: [18][3660/5809] Time 1.067 (0.517) Data 1.000 (0.444) Loss 2.5788 (2.5969) Prec@1 33.984 (36.711) Prec@5 68.750 (67.160) Epoch: [18][3670/5809] Time 0.350 (0.516) Data 0.291 (0.443) Loss 2.7070 (2.5970) Prec@1 36.328 (36.712) Prec@5 62.109 (67.158) Epoch: [18][3680/5809] Time 0.790 (0.516) Data 0.732 (0.443) Loss 2.5624 (2.5968) Prec@1 39.453 (36.716) Prec@5 67.969 (67.160) Epoch: [18][3690/5809] Time 0.721 (0.516) Data 0.663 (0.443) Loss 2.5558 (2.5968) Prec@1 40.625 (36.719) Prec@5 70.703 (67.165) Epoch: [18][3700/5809] Time 0.134 (0.516) Data 0.001 (0.442) Loss 2.6380 (2.5967) Prec@1 32.812 (36.720) Prec@5 65.234 (67.164) Epoch: [18][3710/5809] Time 0.959 (0.515) Data 0.901 (0.442) Loss 2.5209 (2.5969) Prec@1 38.281 (36.720) Prec@5 69.531 (67.161) Epoch: [18][3720/5809] Time 0.407 (0.515) Data 0.348 (0.442) Loss 2.7982 (2.5969) Prec@1 35.938 (36.719) Prec@5 63.672 (67.162) Epoch: [18][3730/5809] Time 1.230 (0.515) Data 1.170 (0.441) Loss 2.6142 (2.5970) Prec@1 37.500 (36.716) Prec@5 69.141 (67.164) Epoch: [18][3740/5809] Time 0.141 (0.514) Data 0.001 (0.441) Loss 2.6509 (2.5972) Prec@1 30.859 (36.712) Prec@5 66.406 (67.161) Epoch: [18][3750/5809] Time 1.010 (0.514) Data 0.951 (0.441) Loss 2.8642 (2.5973) Prec@1 34.766 (36.711) Prec@5 63.281 (67.160) Epoch: [18][3760/5809] Time 0.139 (0.514) Data 0.001 (0.440) Loss 2.7339 (2.5972) Prec@1 38.672 (36.718) Prec@5 63.672 (67.162) Epoch: [18][3770/5809] Time 1.297 (0.513) Data 1.232 (0.440) Loss 2.6836 (2.5975) Prec@1 39.062 (36.716) Prec@5 64.844 (67.158) Epoch: [18][3780/5809] Time 0.133 (0.513) Data 0.054 (0.440) Loss 2.6469 (2.5975) Prec@1 32.812 (36.715) Prec@5 68.750 (67.154) Epoch: [18][3790/5809] Time 0.665 (0.514) Data 0.599 (0.441) Loss 2.3986 (2.5974) Prec@1 40.234 (36.717) Prec@5 71.094 (67.158) Epoch: [18][3800/5809] Time 0.326 (0.514) Data 0.267 (0.440) Loss 2.7582 (2.5974) Prec@1 32.422 (36.716) Prec@5 60.938 (67.158) Epoch: [18][3810/5809] Time 1.695 (0.514) Data 1.633 (0.441) Loss 2.5608 (2.5973) Prec@1 38.281 (36.718) Prec@5 66.016 (67.161) Epoch: [18][3820/5809] Time 0.696 (0.515) Data 0.638 (0.442) Loss 2.8100 (2.5975) Prec@1 34.766 (36.713) Prec@5 60.156 (67.153) Epoch: [18][3830/5809] Time 0.688 (0.516) Data 0.630 (0.443) Loss 2.7495 (2.5977) Prec@1 34.766 (36.712) Prec@5 63.672 (67.152) Epoch: [18][3840/5809] Time 0.936 (0.517) Data 0.876 (0.444) Loss 2.6176 (2.5977) Prec@1 32.422 (36.709) Prec@5 66.406 (67.153) Epoch: [18][3850/5809] Time 0.974 (0.518) Data 0.916 (0.445) Loss 2.5315 (2.5977) Prec@1 37.109 (36.710) Prec@5 68.750 (67.152) Epoch: [18][3860/5809] Time 1.017 (0.519) Data 0.955 (0.446) Loss 2.5857 (2.5974) Prec@1 36.328 (36.714) Prec@5 66.016 (67.155) Epoch: [18][3870/5809] Time 1.107 (0.520) Data 1.049 (0.446) Loss 2.6469 (2.5975) Prec@1 36.719 (36.713) Prec@5 64.062 (67.154) Epoch: [18][3880/5809] Time 0.886 (0.521) Data 0.828 (0.447) Loss 2.5795 (2.5977) Prec@1 38.281 (36.711) Prec@5 68.750 (67.149) Epoch: [18][3890/5809] Time 1.373 (0.522) Data 1.315 (0.448) Loss 2.5330 (2.5978) Prec@1 38.672 (36.708) Prec@5 68.750 (67.145) Epoch: [18][3900/5809] Time 0.133 (0.522) Data 0.001 (0.449) Loss 2.8942 (2.5979) Prec@1 32.031 (36.708) Prec@5 61.719 (67.143) Epoch: [18][3910/5809] Time 1.105 (0.524) Data 1.045 (0.451) Loss 2.4702 (2.5979) Prec@1 36.719 (36.704) Prec@5 70.703 (67.144) Epoch: [18][3920/5809] Time 0.193 (0.526) Data 0.132 (0.453) Loss 2.4377 (2.5980) Prec@1 35.938 (36.702) Prec@5 70.703 (67.140) Epoch: [18][3930/5809] Time 0.905 (0.528) Data 0.846 (0.455) Loss 2.5512 (2.5978) Prec@1 34.375 (36.706) Prec@5 67.578 (67.141) Epoch: [18][3940/5809] Time 0.313 (0.530) Data 0.253 (0.457) Loss 2.7267 (2.5980) Prec@1 32.422 (36.703) Prec@5 66.406 (67.139) Epoch: [18][3950/5809] Time 0.800 (0.532) Data 0.742 (0.459) Loss 2.5739 (2.5980) Prec@1 39.062 (36.701) Prec@5 66.016 (67.139) Epoch: [18][3960/5809] Time 0.764 (0.535) Data 0.705 (0.462) Loss 2.4584 (2.5980) Prec@1 41.016 (36.703) Prec@5 69.141 (67.139) Epoch: [18][3970/5809] Time 2.243 (0.537) Data 2.185 (0.464) Loss 2.5662 (2.5978) Prec@1 32.031 (36.703) Prec@5 67.188 (67.142) Epoch: [18][3980/5809] Time 1.674 (0.539) Data 1.616 (0.466) Loss 2.5486 (2.5979) Prec@1 35.156 (36.702) Prec@5 67.188 (67.137) Epoch: [18][3990/5809] Time 2.413 (0.541) Data 2.354 (0.468) Loss 2.7836 (2.5978) Prec@1 32.812 (36.702) Prec@5 64.453 (67.138) Epoch: [18][4000/5809] Time 0.384 (0.543) Data 0.321 (0.470) Loss 2.5431 (2.5978) Prec@1 38.672 (36.701) Prec@5 71.484 (67.140) Epoch: [18][4010/5809] Time 3.270 (0.546) Data 3.212 (0.473) Loss 2.5849 (2.5980) Prec@1 37.109 (36.695) Prec@5 67.969 (67.138) Epoch: [18][4020/5809] Time 1.604 (0.549) Data 1.546 (0.476) Loss 2.5791 (2.5980) Prec@1 34.766 (36.691) Prec@5 66.797 (67.136) Epoch: [18][4030/5809] Time 3.604 (0.551) Data 3.545 (0.478) Loss 2.8287 (2.5980) Prec@1 35.938 (36.695) Prec@5 60.547 (67.137) Epoch: [18][4040/5809] Time 0.719 (0.552) Data 0.661 (0.479) Loss 2.6475 (2.5979) Prec@1 35.547 (36.695) Prec@5 66.406 (67.138) Epoch: [18][4050/5809] Time 1.345 (0.553) Data 1.284 (0.480) Loss 2.5281 (2.5979) Prec@1 38.281 (36.693) Prec@5 66.797 (67.137) Epoch: [18][4060/5809] Time 0.135 (0.554) Data 0.074 (0.481) Loss 2.8690 (2.5979) Prec@1 33.203 (36.691) Prec@5 61.719 (67.135) Epoch: [18][4070/5809] Time 0.953 (0.554) Data 0.893 (0.482) Loss 2.6899 (2.5979) Prec@1 37.891 (36.689) Prec@5 65.234 (67.133) Epoch: [18][4080/5809] Time 0.461 (0.555) Data 0.400 (0.483) Loss 2.5518 (2.5978) Prec@1 37.109 (36.691) Prec@5 67.188 (67.137) Epoch: [18][4090/5809] Time 1.515 (0.556) Data 1.454 (0.484) Loss 2.6748 (2.5978) Prec@1 33.984 (36.691) Prec@5 64.453 (67.138) Epoch: [18][4100/5809] Time 0.634 (0.557) Data 0.573 (0.484) Loss 2.7580 (2.5979) Prec@1 34.375 (36.689) Prec@5 66.016 (67.138) Epoch: [18][4110/5809] Time 1.706 (0.558) Data 1.646 (0.486) Loss 2.6820 (2.5979) Prec@1 37.109 (36.691) Prec@5 62.500 (67.140) Epoch: [18][4120/5809] Time 0.132 (0.559) Data 0.001 (0.486) Loss 2.4971 (2.5979) Prec@1 35.938 (36.691) Prec@5 67.188 (67.140) Epoch: [18][4130/5809] Time 1.253 (0.560) Data 1.194 (0.487) Loss 2.7110 (2.5978) Prec@1 33.984 (36.690) Prec@5 65.625 (67.142) Epoch: [18][4140/5809] Time 0.426 (0.561) Data 0.368 (0.488) Loss 2.5634 (2.5979) Prec@1 37.500 (36.687) Prec@5 67.188 (67.139) Epoch: [18][4150/5809] Time 1.279 (0.562) Data 1.221 (0.489) Loss 2.5845 (2.5979) Prec@1 36.328 (36.687) Prec@5 67.969 (67.141) Epoch: [18][4160/5809] Time 0.132 (0.562) Data 0.001 (0.490) Loss 2.8809 (2.5980) Prec@1 34.375 (36.688) Prec@5 59.766 (67.140) Epoch: [18][4170/5809] Time 1.330 (0.563) Data 1.271 (0.491) Loss 2.7147 (2.5980) Prec@1 32.422 (36.689) Prec@5 66.797 (67.142) Epoch: [18][4180/5809] Time 0.756 (0.564) Data 0.695 (0.491) Loss 2.5415 (2.5980) Prec@1 40.625 (36.691) Prec@5 68.359 (67.139) Epoch: [18][4190/5809] Time 1.460 (0.565) Data 1.402 (0.492) Loss 2.6151 (2.5979) Prec@1 37.500 (36.691) Prec@5 65.625 (67.137) Epoch: [18][4200/5809] Time 0.598 (0.566) Data 0.539 (0.493) Loss 2.7806 (2.5980) Prec@1 31.641 (36.690) Prec@5 62.109 (67.135) Epoch: [18][4210/5809] Time 0.886 (0.567) Data 0.825 (0.494) Loss 2.7536 (2.5982) Prec@1 33.984 (36.686) Prec@5 63.672 (67.130) Epoch: [18][4220/5809] Time 1.111 (0.567) Data 1.052 (0.495) Loss 2.7704 (2.5982) Prec@1 33.984 (36.688) Prec@5 64.062 (67.129) Epoch: [18][4230/5809] Time 0.529 (0.568) Data 0.471 (0.496) Loss 2.6409 (2.5983) Prec@1 35.938 (36.688) Prec@5 64.844 (67.129) Epoch: [18][4240/5809] Time 1.081 (0.569) Data 1.023 (0.496) Loss 2.6116 (2.5983) Prec@1 37.109 (36.689) Prec@5 67.969 (67.130) Epoch: [18][4250/5809] Time 1.020 (0.570) Data 0.961 (0.497) Loss 2.4461 (2.5982) Prec@1 41.016 (36.688) Prec@5 71.094 (67.131) Epoch: [18][4260/5809] Time 1.396 (0.570) Data 1.337 (0.498) Loss 2.6588 (2.5983) Prec@1 33.594 (36.687) Prec@5 65.234 (67.130) Epoch: [18][4270/5809] Time 0.536 (0.571) Data 0.477 (0.499) Loss 2.6472 (2.5985) Prec@1 33.984 (36.685) Prec@5 61.328 (67.126) Epoch: [18][4280/5809] Time 0.400 (0.572) Data 0.338 (0.499) Loss 2.6648 (2.5985) Prec@1 35.156 (36.687) Prec@5 63.672 (67.127) Epoch: [18][4290/5809] Time 0.133 (0.573) Data 0.001 (0.500) Loss 2.7127 (2.5986) Prec@1 34.766 (36.685) Prec@5 62.891 (67.127) Epoch: [18][4300/5809] Time 0.480 (0.573) Data 0.418 (0.501) Loss 2.8794 (2.5987) Prec@1 31.250 (36.681) Prec@5 63.672 (67.123) Epoch: [18][4310/5809] Time 0.132 (0.574) Data 0.046 (0.502) Loss 2.6513 (2.5989) Prec@1 39.453 (36.679) Prec@5 69.141 (67.121) Epoch: [18][4320/5809] Time 0.895 (0.575) Data 0.836 (0.502) Loss 2.4886 (2.5988) Prec@1 36.328 (36.680) Prec@5 69.922 (67.124) Epoch: [18][4330/5809] Time 0.645 (0.576) Data 0.586 (0.503) Loss 2.5787 (2.5987) Prec@1 34.766 (36.684) Prec@5 71.094 (67.126) Epoch: [18][4340/5809] Time 0.420 (0.576) Data 0.361 (0.504) Loss 2.4782 (2.5986) Prec@1 37.109 (36.682) Prec@5 67.969 (67.126) Epoch: [18][4350/5809] Time 0.135 (0.577) Data 0.001 (0.504) Loss 2.7070 (2.5986) Prec@1 33.594 (36.684) Prec@5 64.844 (67.126) Epoch: [18][4360/5809] Time 0.133 (0.577) Data 0.071 (0.505) Loss 2.6113 (2.5986) Prec@1 38.672 (36.685) Prec@5 68.359 (67.126) Epoch: [18][4370/5809] Time 0.133 (0.578) Data 0.001 (0.506) Loss 2.3978 (2.5987) Prec@1 39.062 (36.685) Prec@5 69.531 (67.124) Epoch: [18][4380/5809] Time 1.000 (0.579) Data 0.940 (0.506) Loss 2.5237 (2.5986) Prec@1 38.672 (36.684) Prec@5 65.234 (67.124) Epoch: [18][4390/5809] Time 0.419 (0.579) Data 0.359 (0.507) Loss 2.3686 (2.5984) Prec@1 39.844 (36.688) Prec@5 71.875 (67.128) Epoch: [18][4400/5809] Time 0.670 (0.580) Data 0.610 (0.507) Loss 2.7154 (2.5985) Prec@1 31.250 (36.687) Prec@5 67.578 (67.129) Epoch: [18][4410/5809] Time 0.921 (0.581) Data 0.861 (0.508) Loss 2.7170 (2.5985) Prec@1 32.812 (36.687) Prec@5 64.844 (67.127) Epoch: [18][4420/5809] Time 0.392 (0.581) Data 0.331 (0.509) Loss 2.6053 (2.5984) Prec@1 39.453 (36.689) Prec@5 66.406 (67.127) Epoch: [18][4430/5809] Time 0.970 (0.582) Data 0.909 (0.510) Loss 2.4005 (2.5984) Prec@1 34.375 (36.688) Prec@5 72.656 (67.129) Epoch: [18][4440/5809] Time 0.543 (0.582) Data 0.482 (0.510) Loss 2.5646 (2.5983) Prec@1 36.719 (36.691) Prec@5 68.750 (67.131) Epoch: [18][4450/5809] Time 0.745 (0.583) Data 0.683 (0.511) Loss 2.6252 (2.5983) Prec@1 37.500 (36.695) Prec@5 66.016 (67.131) Epoch: [18][4460/5809] Time 0.200 (0.584) Data 0.141 (0.511) Loss 2.6001 (2.5983) Prec@1 35.938 (36.694) Prec@5 67.578 (67.131) Epoch: [18][4470/5809] Time 1.215 (0.584) Data 1.152 (0.512) Loss 2.7223 (2.5982) Prec@1 37.500 (36.698) Prec@5 65.625 (67.132) Epoch: [18][4480/5809] Time 0.134 (0.585) Data 0.001 (0.512) Loss 2.7251 (2.5984) Prec@1 30.469 (36.695) Prec@5 67.969 (67.132) Epoch: [18][4490/5809] Time 1.445 (0.586) Data 1.383 (0.513) Loss 2.5233 (2.5984) Prec@1 39.453 (36.697) Prec@5 68.359 (67.131) Epoch: [18][4500/5809] Time 0.132 (0.586) Data 0.001 (0.513) Loss 2.8064 (2.5984) Prec@1 34.375 (36.695) Prec@5 63.672 (67.131) Epoch: [18][4510/5809] Time 0.566 (0.587) Data 0.507 (0.514) Loss 2.7506 (2.5984) Prec@1 33.984 (36.695) Prec@5 66.406 (67.132) Epoch: [18][4520/5809] Time 0.928 (0.587) Data 0.869 (0.515) Loss 2.5787 (2.5985) Prec@1 37.109 (36.694) Prec@5 68.750 (67.130) Epoch: [18][4530/5809] Time 0.177 (0.588) Data 0.110 (0.515) Loss 2.5799 (2.5984) Prec@1 37.109 (36.695) Prec@5 70.312 (67.132) Epoch: [18][4540/5809] Time 0.791 (0.588) Data 0.731 (0.516) Loss 2.6128 (2.5986) Prec@1 35.938 (36.691) Prec@5 65.625 (67.129) Epoch: [18][4550/5809] Time 0.476 (0.589) Data 0.407 (0.516) Loss 2.3875 (2.5986) Prec@1 44.922 (36.692) Prec@5 71.875 (67.128) Epoch: [18][4560/5809] Time 0.285 (0.589) Data 0.225 (0.517) Loss 2.6136 (2.5986) Prec@1 35.547 (36.691) Prec@5 63.281 (67.128) Epoch: [18][4570/5809] Time 0.480 (0.590) Data 0.412 (0.517) Loss 2.6859 (2.5988) Prec@1 38.281 (36.691) Prec@5 64.844 (67.123) Epoch: [18][4580/5809] Time 0.133 (0.590) Data 0.001 (0.518) Loss 2.6330 (2.5988) Prec@1 36.719 (36.690) Prec@5 67.188 (67.122) Epoch: [18][4590/5809] Time 0.133 (0.591) Data 0.001 (0.518) Loss 2.5993 (2.5987) Prec@1 34.766 (36.691) Prec@5 67.578 (67.125) Epoch: [18][4600/5809] Time 0.765 (0.591) Data 0.705 (0.519) Loss 2.7409 (2.5987) Prec@1 36.719 (36.693) Prec@5 65.625 (67.125) Epoch: [18][4610/5809] Time 0.560 (0.592) Data 0.502 (0.520) Loss 2.5173 (2.5987) Prec@1 36.328 (36.692) Prec@5 66.406 (67.127) Epoch: [18][4620/5809] Time 0.132 (0.592) Data 0.001 (0.520) Loss 2.3990 (2.5986) Prec@1 40.625 (36.692) Prec@5 70.312 (67.127) Epoch: [18][4630/5809] Time 0.461 (0.593) Data 0.401 (0.521) Loss 2.7026 (2.5987) Prec@1 35.938 (36.690) Prec@5 64.453 (67.126) Epoch: [18][4640/5809] Time 0.915 (0.594) Data 0.855 (0.521) Loss 2.3252 (2.5986) Prec@1 39.062 (36.690) Prec@5 70.703 (67.128) Epoch: [18][4650/5809] Time 1.341 (0.594) Data 1.281 (0.522) Loss 2.7662 (2.5987) Prec@1 33.203 (36.688) Prec@5 63.281 (67.127) Epoch: [18][4660/5809] Time 0.899 (0.595) Data 0.838 (0.522) Loss 2.4720 (2.5987) Prec@1 38.281 (36.687) Prec@5 70.703 (67.127) Epoch: [18][4670/5809] Time 0.827 (0.595) Data 0.768 (0.523) Loss 2.5153 (2.5987) Prec@1 38.281 (36.687) Prec@5 69.531 (67.130) Epoch: [18][4680/5809] Time 0.240 (0.596) Data 0.181 (0.523) Loss 2.5034 (2.5988) Prec@1 38.281 (36.684) Prec@5 68.750 (67.126) Epoch: [18][4690/5809] Time 0.934 (0.596) Data 0.875 (0.524) Loss 2.6915 (2.5989) Prec@1 33.594 (36.683) Prec@5 64.844 (67.125) Epoch: [18][4700/5809] Time 0.449 (0.596) Data 0.389 (0.524) Loss 2.4695 (2.5988) Prec@1 40.625 (36.683) Prec@5 69.922 (67.126) Epoch: [18][4710/5809] Time 0.822 (0.597) Data 0.761 (0.525) Loss 2.8542 (2.5991) Prec@1 32.031 (36.680) Prec@5 61.328 (67.122) Epoch: [18][4720/5809] Time 1.072 (0.598) Data 1.011 (0.525) Loss 2.7538 (2.5990) Prec@1 35.547 (36.683) Prec@5 67.188 (67.123) Epoch: [18][4730/5809] Time 0.897 (0.598) Data 0.836 (0.526) Loss 2.5160 (2.5991) Prec@1 37.891 (36.682) Prec@5 69.922 (67.121) Epoch: [18][4740/5809] Time 0.886 (0.600) Data 0.825 (0.528) Loss 2.6892 (2.5991) Prec@1 37.500 (36.682) Prec@5 62.891 (67.120) Epoch: [18][4750/5809] Time 1.637 (0.602) Data 1.578 (0.529) Loss 2.8152 (2.5990) Prec@1 29.688 (36.684) Prec@5 64.844 (67.122) Epoch: [18][4760/5809] Time 1.380 (0.603) Data 1.318 (0.531) Loss 2.5936 (2.5990) Prec@1 37.891 (36.687) Prec@5 70.312 (67.120) Epoch: [18][4770/5809] Time 0.500 (0.605) Data 0.439 (0.532) Loss 2.7530 (2.5991) Prec@1 34.766 (36.682) Prec@5 61.328 (67.119) Epoch: [18][4780/5809] Time 0.611 (0.606) Data 0.543 (0.534) Loss 2.6813 (2.5991) Prec@1 37.109 (36.683) Prec@5 63.672 (67.121) Epoch: [18][4790/5809] Time 0.133 (0.606) Data 0.054 (0.534) Loss 2.5116 (2.5991) Prec@1 41.406 (36.682) Prec@5 70.312 (67.123) Epoch: [18][4800/5809] Time 0.406 (0.607) Data 0.345 (0.535) Loss 2.3453 (2.5991) Prec@1 44.141 (36.682) Prec@5 71.094 (67.123) Epoch: [18][4810/5809] Time 0.133 (0.607) Data 0.001 (0.535) Loss 2.5659 (2.5990) Prec@1 35.547 (36.682) Prec@5 68.750 (67.125) Epoch: [18][4820/5809] Time 0.871 (0.608) Data 0.810 (0.535) Loss 2.4870 (2.5990) Prec@1 40.625 (36.681) Prec@5 69.531 (67.126) Epoch: [18][4830/5809] Time 0.187 (0.608) Data 0.125 (0.536) Loss 2.6603 (2.5990) Prec@1 37.109 (36.679) Prec@5 68.359 (67.127) Epoch: [18][4840/5809] Time 0.467 (0.608) Data 0.409 (0.536) Loss 2.5445 (2.5988) Prec@1 36.719 (36.681) Prec@5 67.969 (67.129) Epoch: [18][4850/5809] Time 0.940 (0.609) Data 0.880 (0.537) Loss 2.6522 (2.5989) Prec@1 35.156 (36.679) Prec@5 66.016 (67.125) Epoch: [18][4860/5809] Time 0.378 (0.609) Data 0.310 (0.537) Loss 2.6671 (2.5990) Prec@1 35.547 (36.676) Prec@5 67.578 (67.125) Epoch: [18][4870/5809] Time 1.082 (0.610) Data 1.023 (0.538) Loss 2.5062 (2.5989) Prec@1 35.156 (36.676) Prec@5 69.141 (67.126) Epoch: [18][4880/5809] Time 0.803 (0.610) Data 0.743 (0.538) Loss 2.4270 (2.5988) Prec@1 43.750 (36.676) Prec@5 71.094 (67.126) Epoch: [18][4890/5809] Time 0.690 (0.610) Data 0.629 (0.538) Loss 2.6666 (2.5989) Prec@1 33.984 (36.677) Prec@5 62.500 (67.124) Epoch: [18][4900/5809] Time 0.133 (0.611) Data 0.001 (0.539) Loss 2.5513 (2.5988) Prec@1 37.109 (36.677) Prec@5 67.969 (67.126) Epoch: [18][4910/5809] Time 0.698 (0.611) Data 0.638 (0.539) Loss 2.6915 (2.5988) Prec@1 37.891 (36.678) Prec@5 64.453 (67.126) Epoch: [18][4920/5809] Time 0.132 (0.612) Data 0.052 (0.540) Loss 2.4986 (2.5988) Prec@1 39.844 (36.677) Prec@5 70.703 (67.126) Epoch: [18][4930/5809] Time 0.631 (0.612) Data 0.570 (0.540) Loss 2.3348 (2.5986) Prec@1 38.281 (36.680) Prec@5 70.312 (67.131) Epoch: [18][4940/5809] Time 0.547 (0.613) Data 0.489 (0.541) Loss 2.6941 (2.5987) Prec@1 33.594 (36.678) Prec@5 63.672 (67.128) Epoch: [18][4950/5809] Time 0.132 (0.613) Data 0.001 (0.541) Loss 2.6883 (2.5988) Prec@1 32.812 (36.677) Prec@5 66.797 (67.126) Epoch: [18][4960/5809] Time 1.159 (0.614) Data 1.101 (0.542) Loss 2.6004 (2.5988) Prec@1 37.109 (36.677) Prec@5 65.234 (67.124) Epoch: [18][4970/5809] Time 0.133 (0.614) Data 0.001 (0.542) Loss 2.5309 (2.5988) Prec@1 35.156 (36.676) Prec@5 68.750 (67.124) Epoch: [18][4980/5809] Time 0.250 (0.615) Data 0.191 (0.542) Loss 2.6183 (2.5987) Prec@1 35.547 (36.678) Prec@5 66.406 (67.124) Epoch: [18][4990/5809] Time 0.134 (0.615) Data 0.006 (0.543) Loss 2.5183 (2.5988) Prec@1 35.938 (36.675) Prec@5 66.797 (67.122) Epoch: [18][5000/5809] Time 0.140 (0.616) Data 0.001 (0.543) Loss 2.6163 (2.5988) Prec@1 37.109 (36.675) Prec@5 66.797 (67.121) Epoch: [18][5010/5809] Time 0.137 (0.616) Data 0.078 (0.543) Loss 2.4587 (2.5989) Prec@1 41.016 (36.672) Prec@5 69.922 (67.121) Epoch: [18][5020/5809] Time 0.401 (0.616) Data 0.343 (0.544) Loss 2.5570 (2.5988) Prec@1 39.062 (36.673) Prec@5 69.922 (67.121) Epoch: [18][5030/5809] Time 0.131 (0.616) Data 0.054 (0.544) Loss 2.6486 (2.5988) Prec@1 33.984 (36.674) Prec@5 66.406 (67.121) Epoch: [18][5040/5809] Time 0.598 (0.617) Data 0.540 (0.545) Loss 2.6353 (2.5988) Prec@1 35.938 (36.675) Prec@5 67.969 (67.122) Epoch: [18][5050/5809] Time 0.131 (0.617) Data 0.045 (0.545) Loss 2.6775 (2.5988) Prec@1 31.250 (36.674) Prec@5 64.844 (67.121) Epoch: [18][5060/5809] Time 0.169 (0.618) Data 0.107 (0.546) Loss 2.5007 (2.5988) Prec@1 36.328 (36.672) Prec@5 66.016 (67.123) Epoch: [18][5070/5809] Time 0.154 (0.618) Data 0.095 (0.546) Loss 2.6920 (2.5988) Prec@1 33.594 (36.674) Prec@5 65.625 (67.122) Epoch: [18][5080/5809] Time 0.141 (0.618) Data 0.001 (0.546) Loss 2.7558 (2.5988) Prec@1 35.547 (36.676) Prec@5 64.844 (67.122) Epoch: [18][5090/5809] Time 0.671 (0.619) Data 0.611 (0.546) Loss 2.5209 (2.5988) Prec@1 38.281 (36.678) Prec@5 69.922 (67.123) Epoch: [18][5100/5809] Time 0.752 (0.619) Data 0.693 (0.547) Loss 2.5756 (2.5988) Prec@1 35.156 (36.676) Prec@5 67.969 (67.122) Epoch: [18][5110/5809] Time 0.541 (0.619) Data 0.483 (0.547) Loss 2.4455 (2.5988) Prec@1 38.281 (36.674) Prec@5 71.875 (67.123) Epoch: [18][5120/5809] Time 1.074 (0.620) Data 1.016 (0.548) Loss 2.4775 (2.5988) Prec@1 40.625 (36.674) Prec@5 68.359 (67.121) Epoch: [18][5130/5809] Time 0.134 (0.620) Data 0.062 (0.548) Loss 2.4577 (2.5988) Prec@1 42.578 (36.676) Prec@5 66.016 (67.121) Epoch: [18][5140/5809] Time 0.977 (0.621) Data 0.917 (0.548) Loss 2.6334 (2.5989) Prec@1 36.328 (36.674) Prec@5 67.578 (67.121) Epoch: [18][5150/5809] Time 0.924 (0.621) Data 0.866 (0.549) Loss 2.5235 (2.5988) Prec@1 37.500 (36.676) Prec@5 65.625 (67.123) Epoch: [18][5160/5809] Time 0.668 (0.621) Data 0.610 (0.549) Loss 2.4014 (2.5987) Prec@1 40.625 (36.677) Prec@5 74.219 (67.124) Epoch: [18][5170/5809] Time 0.500 (0.621) Data 0.443 (0.549) Loss 2.7331 (2.5988) Prec@1 33.984 (36.678) Prec@5 64.062 (67.124) Epoch: [18][5180/5809] Time 0.158 (0.622) Data 0.099 (0.550) Loss 2.5377 (2.5989) Prec@1 35.547 (36.677) Prec@5 69.922 (67.122) Epoch: [18][5190/5809] Time 1.138 (0.622) Data 1.080 (0.550) Loss 2.5067 (2.5988) Prec@1 36.719 (36.680) Prec@5 68.359 (67.124) Epoch: [18][5200/5809] Time 0.187 (0.622) Data 0.128 (0.550) Loss 2.6519 (2.5988) Prec@1 35.156 (36.678) Prec@5 64.453 (67.123) Epoch: [18][5210/5809] Time 1.229 (0.623) Data 1.171 (0.551) Loss 2.5745 (2.5988) Prec@1 39.062 (36.677) Prec@5 66.016 (67.123) Epoch: [18][5220/5809] Time 0.127 (0.623) Data 0.057 (0.551) Loss 2.6113 (2.5990) Prec@1 33.984 (36.675) Prec@5 70.312 (67.121) Epoch: [18][5230/5809] Time 0.871 (0.623) Data 0.813 (0.551) Loss 2.4963 (2.5990) Prec@1 37.891 (36.675) Prec@5 71.094 (67.122) Epoch: [18][5240/5809] Time 0.291 (0.623) Data 0.233 (0.551) Loss 2.7602 (2.5989) Prec@1 35.938 (36.679) Prec@5 66.406 (67.125) Epoch: [18][5250/5809] Time 0.709 (0.624) Data 0.648 (0.552) Loss 2.5822 (2.5989) Prec@1 39.062 (36.677) Prec@5 66.406 (67.124) Epoch: [18][5260/5809] Time 0.449 (0.624) Data 0.387 (0.552) Loss 2.6927 (2.5988) Prec@1 34.766 (36.677) Prec@5 66.406 (67.125) Epoch: [18][5270/5809] Time 1.841 (0.624) Data 1.780 (0.553) Loss 2.7319 (2.5988) Prec@1 31.250 (36.675) Prec@5 67.578 (67.125) Epoch: [18][5280/5809] Time 0.131 (0.625) Data 0.001 (0.553) Loss 2.6293 (2.5988) Prec@1 35.547 (36.675) Prec@5 67.188 (67.126) Epoch: [18][5290/5809] Time 2.088 (0.625) Data 2.029 (0.553) Loss 2.5343 (2.5989) Prec@1 35.547 (36.673) Prec@5 70.312 (67.126) Epoch: [18][5300/5809] Time 0.366 (0.625) Data 0.305 (0.553) Loss 2.6836 (2.5989) Prec@1 35.938 (36.671) Prec@5 62.891 (67.124) Epoch: [18][5310/5809] Time 1.626 (0.626) Data 1.566 (0.554) Loss 2.7399 (2.5990) Prec@1 33.984 (36.670) Prec@5 64.844 (67.122) Epoch: [18][5320/5809] Time 0.132 (0.626) Data 0.001 (0.554) Loss 2.5363 (2.5990) Prec@1 37.109 (36.669) Prec@5 67.188 (67.122) Epoch: [18][5330/5809] Time 1.670 (0.627) Data 1.611 (0.555) Loss 2.4918 (2.5991) Prec@1 37.891 (36.668) Prec@5 66.797 (67.121) Epoch: [18][5340/5809] Time 0.133 (0.627) Data 0.009 (0.555) Loss 2.7323 (2.5991) Prec@1 31.250 (36.667) Prec@5 64.062 (67.119) Epoch: [18][5350/5809] Time 1.389 (0.627) Data 1.329 (0.555) Loss 2.4275 (2.5991) Prec@1 41.016 (36.669) Prec@5 69.531 (67.118) Epoch: [18][5360/5809] Time 1.232 (0.628) Data 1.164 (0.556) Loss 2.5647 (2.5991) Prec@1 37.891 (36.668) Prec@5 68.750 (67.118) Epoch: [18][5370/5809] Time 1.210 (0.628) Data 1.151 (0.556) Loss 2.7705 (2.5991) Prec@1 34.766 (36.670) Prec@5 64.453 (67.121) Epoch: [18][5380/5809] Time 1.070 (0.628) Data 1.011 (0.557) Loss 2.5568 (2.5992) Prec@1 33.984 (36.667) Prec@5 65.234 (67.119) Epoch: [18][5390/5809] Time 0.739 (0.629) Data 0.678 (0.557) Loss 2.7285 (2.5993) Prec@1 33.594 (36.664) Prec@5 66.406 (67.120) Epoch: [18][5400/5809] Time 1.593 (0.629) Data 1.533 (0.557) Loss 2.3338 (2.5993) Prec@1 42.969 (36.663) Prec@5 68.750 (67.117) Epoch: [18][5410/5809] Time 0.615 (0.630) Data 0.555 (0.559) Loss 2.7236 (2.5995) Prec@1 35.156 (36.659) Prec@5 65.625 (67.114) Epoch: [18][5420/5809] Time 1.082 (0.631) Data 1.022 (0.559) Loss 2.6959 (2.5996) Prec@1 35.156 (36.660) Prec@5 67.188 (67.115) Epoch: [18][5430/5809] Time 0.724 (0.631) Data 0.664 (0.559) Loss 2.6874 (2.5996) Prec@1 34.375 (36.660) Prec@5 67.969 (67.115) Epoch: [18][5440/5809] Time 2.392 (0.632) Data 2.333 (0.560) Loss 2.4935 (2.5996) Prec@1 39.844 (36.659) Prec@5 71.875 (67.113) Epoch: [18][5450/5809] Time 1.034 (0.633) Data 0.975 (0.561) Loss 2.5839 (2.5996) Prec@1 37.109 (36.659) Prec@5 65.234 (67.113) Epoch: [18][5460/5809] Time 2.711 (0.634) Data 2.652 (0.563) Loss 2.6723 (2.5997) Prec@1 38.672 (36.657) Prec@5 66.406 (67.111) Epoch: [18][5470/5809] Time 0.134 (0.635) Data 0.001 (0.564) Loss 2.5283 (2.5997) Prec@1 40.234 (36.660) Prec@5 65.234 (67.113) Epoch: [18][5480/5809] Time 1.951 (0.636) Data 1.889 (0.565) Loss 2.6511 (2.5996) Prec@1 30.078 (36.660) Prec@5 66.406 (67.114) Epoch: [18][5490/5809] Time 0.131 (0.636) Data 0.046 (0.565) Loss 2.7825 (2.5997) Prec@1 30.859 (36.661) Prec@5 65.625 (67.112) Epoch: [18][5500/5809] Time 2.365 (0.637) Data 2.304 (0.565) Loss 2.7903 (2.5997) Prec@1 35.156 (36.663) Prec@5 65.625 (67.110) Epoch: [18][5510/5809] Time 0.236 (0.637) Data 0.176 (0.565) Loss 2.4962 (2.5996) Prec@1 39.453 (36.664) Prec@5 69.141 (67.109) Epoch: [18][5520/5809] Time 2.192 (0.638) Data 2.131 (0.566) Loss 2.7815 (2.5997) Prec@1 38.672 (36.663) Prec@5 64.453 (67.109) Epoch: [18][5530/5809] Time 0.252 (0.638) Data 0.192 (0.566) Loss 2.4681 (2.5996) Prec@1 40.625 (36.665) Prec@5 68.359 (67.112) Epoch: [18][5540/5809] Time 2.375 (0.638) Data 2.315 (0.566) Loss 2.5467 (2.5996) Prec@1 38.672 (36.666) Prec@5 67.188 (67.111) Epoch: [18][5550/5809] Time 0.133 (0.638) Data 0.069 (0.567) Loss 2.6935 (2.5995) Prec@1 33.594 (36.667) Prec@5 60.156 (67.111) Epoch: [18][5560/5809] Time 2.662 (0.639) Data 2.602 (0.567) Loss 2.5489 (2.5994) Prec@1 35.938 (36.668) Prec@5 66.016 (67.113) Epoch: [18][5570/5809] Time 0.168 (0.639) Data 0.107 (0.567) Loss 2.5786 (2.5994) Prec@1 38.672 (36.669) Prec@5 69.531 (67.112) Epoch: [18][5580/5809] Time 2.096 (0.640) Data 2.035 (0.568) Loss 2.7880 (2.5994) Prec@1 32.031 (36.671) Prec@5 61.328 (67.111) Epoch: [18][5590/5809] Time 0.132 (0.640) Data 0.001 (0.568) Loss 2.4981 (2.5993) Prec@1 36.328 (36.671) Prec@5 66.016 (67.114) Epoch: [18][5600/5809] Time 1.846 (0.640) Data 1.786 (0.568) Loss 2.4377 (2.5994) Prec@1 41.797 (36.672) Prec@5 70.703 (67.113) Epoch: [18][5610/5809] Time 0.396 (0.640) Data 0.337 (0.568) Loss 2.7909 (2.5995) Prec@1 32.031 (36.669) Prec@5 66.016 (67.111) Epoch: [18][5620/5809] Time 1.522 (0.641) Data 1.462 (0.569) Loss 2.5448 (2.5995) Prec@1 39.062 (36.670) Prec@5 67.969 (67.109) Epoch: [18][5630/5809] Time 0.535 (0.641) Data 0.474 (0.569) Loss 2.4883 (2.5996) Prec@1 36.328 (36.669) Prec@5 67.188 (67.106) Epoch: [18][5640/5809] Time 1.550 (0.641) Data 1.489 (0.569) Loss 2.4103 (2.5996) Prec@1 39.453 (36.667) Prec@5 69.531 (67.106) Epoch: [18][5650/5809] Time 0.636 (0.641) Data 0.575 (0.570) Loss 2.5332 (2.5997) Prec@1 37.109 (36.667) Prec@5 66.406 (67.106) Epoch: [18][5660/5809] Time 1.633 (0.642) Data 1.573 (0.570) Loss 2.5750 (2.5997) Prec@1 35.547 (36.666) Prec@5 67.188 (67.106) Epoch: [18][5670/5809] Time 1.111 (0.642) Data 1.052 (0.570) Loss 2.5093 (2.5999) Prec@1 39.062 (36.666) Prec@5 71.094 (67.104) Epoch: [18][5680/5809] Time 1.036 (0.642) Data 0.978 (0.571) Loss 2.7705 (2.5998) Prec@1 30.469 (36.667) Prec@5 62.891 (67.106) Epoch: [18][5690/5809] Time 1.028 (0.643) Data 0.968 (0.571) Loss 2.4803 (2.5998) Prec@1 36.328 (36.664) Prec@5 68.750 (67.107) Epoch: [18][5700/5809] Time 1.436 (0.643) Data 1.375 (0.571) Loss 2.5948 (2.5998) Prec@1 33.984 (36.664) Prec@5 68.359 (67.110) Epoch: [18][5710/5809] Time 1.020 (0.643) Data 0.959 (0.571) Loss 2.4285 (2.5998) Prec@1 39.062 (36.664) Prec@5 71.484 (67.109) Epoch: [18][5720/5809] Time 1.176 (0.644) Data 1.115 (0.572) Loss 2.6916 (2.5999) Prec@1 35.547 (36.662) Prec@5 67.578 (67.106) Epoch: [18][5730/5809] Time 1.119 (0.644) Data 1.057 (0.572) Loss 2.3431 (2.6000) Prec@1 43.750 (36.660) Prec@5 70.703 (67.102) Epoch: [18][5740/5809] Time 2.238 (0.644) Data 2.177 (0.573) Loss 2.5807 (2.6001) Prec@1 37.891 (36.659) Prec@5 69.922 (67.102) Epoch: [18][5750/5809] Time 1.356 (0.645) Data 1.295 (0.573) Loss 2.5858 (2.6001) Prec@1 40.234 (36.660) Prec@5 67.969 (67.101) Epoch: [18][5760/5809] Time 1.597 (0.645) Data 1.531 (0.573) Loss 2.5940 (2.6001) Prec@1 36.719 (36.660) Prec@5 66.797 (67.101) Epoch: [18][5770/5809] Time 1.100 (0.645) Data 1.039 (0.573) Loss 2.4434 (2.6001) Prec@1 38.281 (36.659) Prec@5 69.922 (67.100) Epoch: [18][5780/5809] Time 0.818 (0.646) Data 0.757 (0.574) Loss 2.6754 (2.6002) Prec@1 31.641 (36.657) Prec@5 63.281 (67.098) Epoch: [18][5790/5809] Time 0.787 (0.646) Data 0.729 (0.574) Loss 2.5115 (2.6002) Prec@1 38.281 (36.658) Prec@5 69.531 (67.100) Epoch: [18][5800/5809] Time 1.239 (0.646) Data 1.181 (0.575) Loss 2.4579 (2.6002) Prec@1 41.797 (36.659) Prec@5 69.531 (67.102) Test: [0/143] Time 3.336 (3.336) Loss 1.5565 (1.5565) Prec@1 51.562 (51.562) Prec@5 88.281 (88.281) Test: [10/143] Time 0.056 (0.931) Loss 10.4251 (9.0957) Prec@1 0.000 (6.392) Prec@5 0.000 (14.595) Test: [20/143] Time 0.061 (0.719) Loss 10.5722 (9.8313) Prec@1 0.000 (3.441) Prec@5 0.391 (8.650) Test: [30/143] Time 1.339 (0.726) Loss 12.7094 (10.4453) Prec@1 0.000 (2.356) Prec@5 0.000 (6.061) Test: [40/143] Time 0.263 (0.697) Loss 10.5262 (10.5718) Prec@1 0.391 (1.829) Prec@5 1.172 (4.802) Test: [50/143] Time 1.551 (0.693) Loss 9.3691 (10.5534) Prec@1 0.000 (1.562) Prec@5 1.562 (4.856) Test: [60/143] Time 0.055 (0.646) Loss 12.3430 (10.6733) Prec@1 0.000 (1.319) Prec@5 0.391 (4.130) Test: [70/143] Time 1.297 (0.637) Loss 9.7132 (10.7457) Prec@1 0.000 (1.155) Prec@5 0.781 (3.714) Test: [80/143] Time 0.120 (0.618) Loss 8.5626 (10.6834) Prec@1 0.000 (1.071) Prec@5 1.172 (3.549) Test: [90/143] Time 1.397 (0.615) Loss 8.7039 (10.5958) Prec@1 0.391 (0.966) Prec@5 3.125 (3.310) Test: [100/143] Time 0.109 (0.602) Loss 10.3825 (10.5553) Prec@1 0.000 (0.886) Prec@5 0.000 (3.075) Test: [110/143] Time 1.870 (0.598) Loss 12.1803 (10.5284) Prec@1 0.000 (0.820) Prec@5 0.000 (2.903) Test: [120/143] Time 0.055 (0.580) Loss 13.4835 (10.5998) Prec@1 0.000 (0.775) Prec@5 0.000 (2.747) Test: [130/143] Time 1.235 (0.580) Loss 13.7543 (10.9194) Prec@1 0.000 (0.716) Prec@5 0.000 (2.538) Test: [140/143] Time 0.184 (0.571) Loss 15.9219 (11.2100) Prec@1 0.000 (0.665) Prec@5 0.000 (2.358) * Prec@1 0.658 Prec@5 2.332 Epoch: [19][0/5809] Time 3.466 (3.466) Data 3.400 (3.400) Loss 2.6223 (2.6223) Prec@1 33.984 (33.984) Prec@5 64.062 (64.062) Epoch: [19][10/5809] Time 0.177 (0.727) Data 0.116 (0.641) Loss 2.4665 (2.6012) Prec@1 40.625 (37.216) Prec@5 71.094 (66.939) Epoch: [19][20/5809] Time 1.619 (0.671) Data 1.559 (0.587) Loss 2.6194 (2.6185) Prec@1 35.156 (36.868) Prec@5 67.578 (66.667) Epoch: [19][30/5809] Time 0.133 (0.598) Data 0.001 (0.512) Loss 2.4561 (2.6053) Prec@1 35.938 (36.782) Prec@5 71.875 (67.124) Epoch: [19][40/5809] Time 1.333 (0.605) Data 1.272 (0.520) Loss 2.6454 (2.6102) Prec@1 39.844 (36.928) Prec@5 68.359 (67.026) Epoch: [19][50/5809] Time 0.222 (0.582) Data 0.164 (0.500) Loss 2.4918 (2.6045) Prec@1 36.328 (36.780) Prec@5 69.531 (67.210) Epoch: [19][60/5809] Time 1.659 (0.586) Data 1.599 (0.508) Loss 2.7080 (2.5910) Prec@1 32.422 (37.001) Prec@5 65.234 (67.373) Epoch: [19][70/5809] Time 0.126 (0.565) Data 0.048 (0.485) Loss 2.5266 (2.5881) Prec@1 33.984 (36.922) Prec@5 70.312 (67.441) Epoch: [19][80/5809] Time 1.665 (0.571) Data 1.597 (0.491) Loss 2.4897 (2.5907) Prec@1 36.719 (36.767) Prec@5 69.922 (67.260) Epoch: [19][90/5809] Time 0.138 (0.557) Data 0.001 (0.475) Loss 2.5772 (2.5922) Prec@1 37.891 (36.886) Prec@5 67.188 (67.273) Epoch: [19][100/5809] Time 1.724 (0.562) Data 1.659 (0.480) Loss 2.4951 (2.5916) Prec@1 37.500 (36.959) Prec@5 68.750 (67.238) Epoch: [19][110/5809] Time 0.128 (0.555) Data 0.001 (0.472) Loss 2.4260 (2.5907) Prec@1 37.891 (36.986) Prec@5 72.266 (67.395) Epoch: [19][120/5809] Time 0.826 (0.554) Data 0.767 (0.472) Loss 2.5214 (2.5893) Prec@1 35.156 (36.945) Prec@5 69.141 (67.446) Epoch: [19][130/5809] Time 0.175 (0.555) Data 0.113 (0.474) Loss 2.6121 (2.5893) Prec@1 37.500 (36.922) Prec@5 67.578 (67.390) Epoch: [19][140/5809] Time 0.133 (0.548) Data 0.001 (0.468) Loss 2.6543 (2.5890) Prec@1 33.984 (37.029) Prec@5 67.578 (67.368) Epoch: [19][150/5809] Time 0.279 (0.550) Data 0.221 (0.471) Loss 2.6293 (2.5886) Prec@1 35.156 (37.003) Prec@5 66.016 (67.428) Epoch: [19][160/5809] Time 0.132 (0.543) Data 0.001 (0.464) Loss 2.5477 (2.5866) Prec@1 35.547 (37.027) Prec@5 69.531 (67.471) Epoch: [19][170/5809] Time 0.273 (0.547) Data 0.215 (0.468) Loss 2.4353 (2.5802) Prec@1 40.234 (37.130) Prec@5 70.703 (67.546) Epoch: [19][180/5809] Time 0.360 (0.544) Data 0.301 (0.465) Loss 2.3487 (2.5788) Prec@1 37.891 (37.142) Prec@5 71.875 (67.567) Epoch: [19][190/5809] Time 0.136 (0.545) Data 0.047 (0.466) Loss 2.4790 (2.5773) Prec@1 39.844 (37.154) Prec@5 69.141 (67.549) Epoch: [19][200/5809] Time 0.390 (0.544) Data 0.329 (0.466) Loss 2.4930 (2.5784) Prec@1 40.234 (37.156) Prec@5 70.312 (67.516) Epoch: [19][210/5809] Time 0.223 (0.545) Data 0.162 (0.467) Loss 2.4235 (2.5810) Prec@1 37.891 (37.052) Prec@5 71.484 (67.449) Epoch: [19][220/5809] Time 0.899 (0.544) Data 0.838 (0.465) Loss 2.6066 (2.5814) Prec@1 37.891 (37.074) Prec@5 66.016 (67.435) Epoch: [19][230/5809] Time 0.132 (0.543) Data 0.001 (0.464) Loss 2.6198 (2.5793) Prec@1 35.547 (37.126) Prec@5 64.453 (67.482) Epoch: [19][240/5809] Time 0.802 (0.543) Data 0.745 (0.466) Loss 2.2811 (2.5794) Prec@1 41.016 (37.140) Prec@5 74.609 (67.437) Epoch: [19][250/5809] Time 0.190 (0.543) Data 0.129 (0.466) Loss 2.6778 (2.5808) Prec@1 36.328 (37.100) Prec@5 66.016 (67.398) Epoch: [19][260/5809] Time 0.133 (0.540) Data 0.001 (0.461) Loss 2.7125 (2.5805) Prec@1 38.281 (37.120) Prec@5 64.062 (67.418) Epoch: [19][270/5809] Time 0.133 (0.542) Data 0.052 (0.463) Loss 2.4679 (2.5799) Prec@1 41.016 (37.130) Prec@5 69.141 (67.405) Epoch: [19][280/5809] Time 0.145 (0.539) Data 0.086 (0.461) Loss 2.6205 (2.5805) Prec@1 32.422 (37.098) Prec@5 66.406 (67.386) Epoch: [19][290/5809] Time 0.775 (0.540) Data 0.717 (0.462) Loss 2.5895 (2.5809) Prec@1 37.500 (37.064) Prec@5 69.141 (67.405) Epoch: [19][300/5809] Time 0.190 (0.538) Data 0.130 (0.459) Loss 2.5924 (2.5824) Prec@1 34.766 (37.056) Prec@5 68.359 (67.373) Epoch: [19][310/5809] Time 0.637 (0.539) Data 0.577 (0.461) Loss 2.6890 (2.5822) Prec@1 35.156 (37.040) Prec@5 68.359 (67.422) Epoch: [19][320/5809] Time 0.133 (0.538) Data 0.001 (0.460) Loss 2.5032 (2.5818) Prec@1 37.500 (37.062) Prec@5 68.750 (67.447) Epoch: [19][330/5809] Time 0.452 (0.538) Data 0.392 (0.461) Loss 2.5722 (2.5844) Prec@1 36.719 (36.995) Prec@5 66.797 (67.415) Epoch: [19][340/5809] Time 0.186 (0.538) Data 0.126 (0.461) Loss 2.4724 (2.5829) Prec@1 36.719 (37.035) Prec@5 72.266 (67.465) Epoch: [19][350/5809] Time 0.453 (0.538) Data 0.395 (0.462) Loss 2.5448 (2.5808) Prec@1 37.109 (37.098) Prec@5 67.188 (67.514) Epoch: [19][360/5809] Time 0.330 (0.537) Data 0.272 (0.461) Loss 2.2582 (2.5801) Prec@1 45.703 (37.132) Prec@5 75.000 (67.514) Epoch: [19][370/5809] Time 0.338 (0.538) Data 0.279 (0.462) Loss 2.5603 (2.5802) Prec@1 37.891 (37.133) Prec@5 67.578 (67.508) Epoch: [19][380/5809] Time 0.171 (0.537) Data 0.111 (0.461) Loss 2.3960 (2.5813) Prec@1 39.844 (37.096) Prec@5 70.703 (67.489) Epoch: [19][390/5809] Time 0.797 (0.538) Data 0.736 (0.463) Loss 2.3983 (2.5793) Prec@1 40.234 (37.156) Prec@5 73.438 (67.536) Epoch: [19][400/5809] Time 0.133 (0.537) Data 0.052 (0.462) Loss 2.5629 (2.5792) Prec@1 37.500 (37.136) Prec@5 69.922 (67.550) Epoch: [19][410/5809] Time 0.748 (0.538) Data 0.687 (0.462) Loss 2.4368 (2.5789) Prec@1 36.719 (37.138) Prec@5 67.969 (67.537) Epoch: [19][420/5809] Time 0.632 (0.537) Data 0.574 (0.462) Loss 2.6819 (2.5788) Prec@1 35.156 (37.138) Prec@5 67.969 (67.549) Epoch: [19][430/5809] Time 1.071 (0.538) Data 1.003 (0.463) Loss 2.5474 (2.5768) Prec@1 36.328 (37.164) Prec@5 66.406 (67.561) Epoch: [19][440/5809] Time 0.133 (0.536) Data 0.001 (0.461) Loss 2.6990 (2.5786) Prec@1 31.641 (37.108) Prec@5 64.062 (67.547) Epoch: [19][450/5809] Time 0.814 (0.537) Data 0.755 (0.462) Loss 2.5140 (2.5774) Prec@1 37.109 (37.151) Prec@5 67.578 (67.556) Epoch: [19][460/5809] Time 0.133 (0.535) Data 0.052 (0.460) Loss 2.5389 (2.5784) Prec@1 37.891 (37.141) Prec@5 69.141 (67.547) Epoch: [19][470/5809] Time 1.062 (0.537) Data 1.001 (0.462) Loss 2.5328 (2.5783) Prec@1 38.281 (37.149) Prec@5 66.406 (67.569) Epoch: [19][480/5809] Time 0.134 (0.535) Data 0.001 (0.460) Loss 2.4424 (2.5770) Prec@1 36.328 (37.175) Prec@5 70.312 (67.592) Epoch: [19][490/5809] Time 1.130 (0.536) Data 1.070 (0.461) Loss 2.6433 (2.5773) Prec@1 33.594 (37.171) Prec@5 66.797 (67.592) Epoch: [19][500/5809] Time 0.133 (0.535) Data 0.001 (0.460) Loss 2.6497 (2.5782) Prec@1 36.719 (37.162) Prec@5 65.234 (67.583) Epoch: [19][510/5809] Time 1.325 (0.536) Data 1.267 (0.461) Loss 2.6599 (2.5789) Prec@1 31.250 (37.141) Prec@5 66.016 (67.572) Epoch: [19][520/5809] Time 0.134 (0.535) Data 0.007 (0.460) Loss 2.5886 (2.5793) Prec@1 37.891 (37.126) Prec@5 70.703 (67.545) Epoch: [19][530/5809] Time 0.851 (0.536) Data 0.791 (0.461) Loss 2.6441 (2.5791) Prec@1 34.375 (37.134) Prec@5 65.625 (67.540) Epoch: [19][540/5809] Time 0.256 (0.535) Data 0.196 (0.461) Loss 2.7238 (2.5799) Prec@1 31.641 (37.112) Prec@5 67.578 (67.525) Epoch: [19][550/5809] Time 0.683 (0.535) Data 0.623 (0.460) Loss 2.6196 (2.5803) Prec@1 35.938 (37.081) Prec@5 66.797 (67.510) Epoch: [19][560/5809] Time 0.133 (0.536) Data 0.001 (0.460) Loss 2.7123 (2.5812) Prec@1 34.766 (37.059) Prec@5 64.062 (67.493) Epoch: [19][570/5809] Time 0.241 (0.534) Data 0.180 (0.459) Loss 2.4760 (2.5810) Prec@1 41.016 (37.072) Prec@5 68.750 (67.493) Epoch: [19][580/5809] Time 0.617 (0.535) Data 0.558 (0.460) Loss 2.6037 (2.5804) Prec@1 33.984 (37.070) Prec@5 65.234 (67.492) Epoch: [19][590/5809] Time 0.124 (0.534) Data 0.053 (0.459) Loss 2.3571 (2.5800) Prec@1 42.578 (37.083) Prec@5 70.312 (67.495) Epoch: [19][600/5809] Time 0.621 (0.535) Data 0.561 (0.461) Loss 2.4839 (2.5797) Prec@1 37.500 (37.089) Prec@5 67.188 (67.472) Epoch: [19][610/5809] Time 0.142 (0.534) Data 0.081 (0.459) Loss 2.5197 (2.5788) Prec@1 39.062 (37.099) Prec@5 73.047 (67.522) Epoch: [19][620/5809] Time 0.126 (0.535) Data 0.060 (0.460) Loss 2.4942 (2.5787) Prec@1 34.375 (37.106) Prec@5 71.484 (67.530) Epoch: [19][630/5809] Time 0.486 (0.535) Data 0.428 (0.460) Loss 2.4043 (2.5783) Prec@1 38.281 (37.116) Prec@5 71.094 (67.536) Epoch: [19][640/5809] Time 0.496 (0.535) Data 0.438 (0.460) Loss 2.6530 (2.5785) Prec@1 33.984 (37.112) Prec@5 66.406 (67.510) Epoch: [19][650/5809] Time 0.126 (0.534) Data 0.044 (0.460) Loss 2.5415 (2.5796) Prec@1 38.281 (37.101) Prec@5 69.531 (67.483) Epoch: [19][660/5809] Time 0.488 (0.535) Data 0.430 (0.460) Loss 2.6343 (2.5807) Prec@1 39.844 (37.080) Prec@5 66.016 (67.466) Epoch: [19][670/5809] Time 0.327 (0.535) Data 0.266 (0.460) Loss 2.4968 (2.5800) Prec@1 41.406 (37.088) Prec@5 71.094 (67.489) Epoch: [19][680/5809] Time 0.621 (0.534) Data 0.561 (0.460) Loss 2.5714 (2.5801) Prec@1 34.375 (37.080) Prec@5 70.312 (67.489) Epoch: [19][690/5809] Time 0.299 (0.535) Data 0.238 (0.460) Loss 2.6786 (2.5803) Prec@1 39.062 (37.084) Prec@5 66.016 (67.487) Epoch: [19][700/5809] Time 0.455 (0.534) Data 0.396 (0.460) Loss 2.4807 (2.5806) Prec@1 38.281 (37.082) Prec@5 71.484 (67.486) Epoch: [19][710/5809] Time 0.309 (0.534) Data 0.241 (0.460) Loss 2.5912 (2.5808) Prec@1 37.109 (37.077) Prec@5 66.016 (67.476) Epoch: [19][720/5809] Time 0.541 (0.534) Data 0.482 (0.460) Loss 2.6210 (2.5805) Prec@1 32.031 (37.074) Prec@5 66.406 (67.474) Epoch: [19][730/5809] Time 0.141 (0.534) Data 0.001 (0.460) Loss 2.6540 (2.5805) Prec@1 38.281 (37.070) Prec@5 67.188 (67.477) Epoch: [19][740/5809] Time 0.792 (0.534) Data 0.732 (0.460) Loss 2.5792 (2.5810) Prec@1 36.328 (37.058) Prec@5 67.578 (67.467) Epoch: [19][750/5809] Time 0.649 (0.534) Data 0.591 (0.460) Loss 2.7105 (2.5812) Prec@1 34.375 (37.063) Prec@5 67.969 (67.476) Epoch: [19][760/5809] Time 0.592 (0.534) Data 0.532 (0.460) Loss 2.5838 (2.5812) Prec@1 38.672 (37.071) Prec@5 66.016 (67.479) Epoch: [19][770/5809] Time 0.741 (0.534) Data 0.682 (0.461) Loss 2.5271 (2.5810) Prec@1 36.719 (37.079) Prec@5 67.969 (67.475) Epoch: [19][780/5809] Time 0.133 (0.533) Data 0.001 (0.460) Loss 2.6106 (2.5804) Prec@1 36.328 (37.089) Prec@5 67.188 (67.483) Epoch: [19][790/5809] Time 0.584 (0.534) Data 0.524 (0.460) Loss 2.6279 (2.5809) Prec@1 40.625 (37.087) Prec@5 63.281 (67.477) Epoch: [19][800/5809] Time 0.145 (0.533) Data 0.086 (0.459) Loss 2.7641 (2.5813) Prec@1 33.984 (37.076) Prec@5 66.406 (67.470) Epoch: [19][810/5809] Time 0.144 (0.533) Data 0.083 (0.459) Loss 2.5662 (2.5808) Prec@1 37.500 (37.080) Prec@5 67.188 (67.486) Epoch: [19][820/5809] Time 0.187 (0.533) Data 0.125 (0.459) Loss 2.5092 (2.5799) Prec@1 37.109 (37.091) Prec@5 69.531 (67.500) Epoch: [19][830/5809] Time 0.169 (0.533) Data 0.108 (0.459) Loss 2.6698 (2.5803) Prec@1 33.984 (37.084) Prec@5 66.406 (67.490) Epoch: [19][840/5809] Time 0.134 (0.532) Data 0.068 (0.459) Loss 2.6237 (2.5798) Prec@1 36.328 (37.099) Prec@5 66.797 (67.503) Epoch: [19][850/5809] Time 0.217 (0.531) Data 0.157 (0.458) Loss 2.6869 (2.5791) Prec@1 35.938 (37.098) Prec@5 64.844 (67.522) Epoch: [19][860/5809] Time 0.467 (0.532) Data 0.400 (0.459) Loss 2.6482 (2.5800) Prec@1 36.328 (37.075) Prec@5 64.453 (67.504) Epoch: [19][870/5809] Time 0.726 (0.532) Data 0.667 (0.459) Loss 2.6380 (2.5798) Prec@1 33.984 (37.077) Prec@5 67.188 (67.501) Epoch: [19][880/5809] Time 0.176 (0.532) Data 0.115 (0.459) Loss 2.5307 (2.5791) Prec@1 34.375 (37.086) Prec@5 67.188 (67.510) Epoch: [19][890/5809] Time 1.009 (0.533) Data 0.950 (0.459) Loss 2.6842 (2.5789) Prec@1 37.109 (37.106) Prec@5 67.578 (67.503) Epoch: [19][900/5809] Time 0.476 (0.532) Data 0.416 (0.459) Loss 2.3233 (2.5787) Prec@1 42.578 (37.105) Prec@5 72.656 (67.501) Epoch: [19][910/5809] Time 0.984 (0.533) Data 0.924 (0.460) Loss 2.5306 (2.5789) Prec@1 39.844 (37.112) Prec@5 69.141 (67.489) Epoch: [19][920/5809] Time 0.133 (0.533) Data 0.053 (0.460) Loss 2.7719 (2.5791) Prec@1 35.156 (37.114) Prec@5 62.109 (67.486) Epoch: [19][930/5809] Time 0.900 (0.533) Data 0.840 (0.460) Loss 2.5723 (2.5794) Prec@1 33.984 (37.108) Prec@5 71.875 (67.477) Epoch: [19][940/5809] Time 0.140 (0.533) Data 0.001 (0.459) Loss 2.4989 (2.5797) Prec@1 36.719 (37.099) Prec@5 72.266 (67.477) Epoch: [19][950/5809] Time 0.897 (0.534) Data 0.837 (0.460) Loss 2.5749 (2.5795) Prec@1 40.234 (37.099) Prec@5 69.922 (67.482) Epoch: [19][960/5809] Time 0.133 (0.535) Data 0.001 (0.462) Loss 2.4366 (2.5794) Prec@1 33.984 (37.092) Prec@5 70.312 (67.491) Epoch: [19][970/5809] Time 1.669 (0.539) Data 1.589 (0.465) Loss 2.3951 (2.5796) Prec@1 37.891 (37.092) Prec@5 71.875 (67.492) Epoch: [19][980/5809] Time 0.440 (0.541) Data 0.377 (0.467) Loss 2.6186 (2.5797) Prec@1 33.984 (37.101) Prec@5 67.578 (67.493) Epoch: [19][990/5809] Time 1.799 (0.544) Data 1.736 (0.471) Loss 2.6217 (2.5796) Prec@1 37.500 (37.101) Prec@5 67.188 (67.500) Epoch: [19][1000/5809] Time 0.559 (0.546) Data 0.498 (0.473) Loss 2.5035 (2.5798) Prec@1 36.719 (37.111) Prec@5 67.578 (67.490) Epoch: [19][1010/5809] Time 1.596 (0.549) Data 1.536 (0.476) Loss 2.5514 (2.5802) Prec@1 37.891 (37.100) Prec@5 66.016 (67.478) Epoch: [19][1020/5809] Time 0.252 (0.551) Data 0.192 (0.478) Loss 2.7104 (2.5805) Prec@1 35.156 (37.099) Prec@5 66.016 (67.476) Epoch: [19][1030/5809] Time 1.197 (0.554) Data 1.133 (0.481) Loss 2.5511 (2.5805) Prec@1 32.422 (37.103) Prec@5 67.969 (67.481) Epoch: [19][1040/5809] Time 0.263 (0.557) Data 0.201 (0.484) Loss 2.8605 (2.5805) Prec@1 32.422 (37.109) Prec@5 64.062 (67.489) Epoch: [19][1050/5809] Time 0.696 (0.560) Data 0.636 (0.487) Loss 2.4634 (2.5806) Prec@1 40.234 (37.112) Prec@5 67.578 (67.499) Epoch: [19][1060/5809] Time 0.152 (0.563) Data 0.001 (0.490) Loss 2.6487 (2.5807) Prec@1 39.062 (37.123) Prec@5 64.453 (67.495) Epoch: [19][1070/5809] Time 1.092 (0.565) Data 1.033 (0.492) Loss 2.5359 (2.5805) Prec@1 33.203 (37.121) Prec@5 70.703 (67.505) Epoch: [19][1080/5809] Time 0.744 (0.568) Data 0.680 (0.495) Loss 2.5721 (2.5806) Prec@1 34.375 (37.113) Prec@5 66.406 (67.497) Epoch: [19][1090/5809] Time 0.616 (0.570) Data 0.556 (0.497) Loss 2.5421 (2.5800) Prec@1 40.234 (37.129) Prec@5 66.406 (67.518) Epoch: [19][1100/5809] Time 0.489 (0.572) Data 0.426 (0.500) Loss 2.3320 (2.5795) Prec@1 45.312 (37.138) Prec@5 70.312 (67.530) Epoch: [19][1110/5809] Time 1.082 (0.575) Data 1.016 (0.502) Loss 2.7464 (2.5797) Prec@1 34.375 (37.131) Prec@5 66.016 (67.531) Epoch: [19][1120/5809] Time 0.723 (0.577) Data 0.663 (0.504) Loss 2.3721 (2.5796) Prec@1 42.188 (37.126) Prec@5 72.656 (67.537) Epoch: [19][1130/5809] Time 1.343 (0.580) Data 1.284 (0.507) Loss 2.6595 (2.5798) Prec@1 36.328 (37.122) Prec@5 66.797 (67.532) Epoch: [19][1140/5809] Time 1.543 (0.582) Data 1.479 (0.510) Loss 2.3758 (2.5796) Prec@1 40.234 (37.130) Prec@5 71.875 (67.535) Epoch: [19][1150/5809] Time 0.911 (0.584) Data 0.842 (0.511) Loss 2.6560 (2.5800) Prec@1 32.812 (37.122) Prec@5 65.625 (67.537) Epoch: [19][1160/5809] Time 1.836 (0.586) Data 1.775 (0.514) Loss 2.6132 (2.5805) Prec@1 34.766 (37.124) Prec@5 67.969 (67.530) Epoch: [19][1170/5809] Time 0.792 (0.588) Data 0.730 (0.515) Loss 2.3928 (2.5801) Prec@1 41.797 (37.125) Prec@5 71.484 (67.527) Epoch: [19][1180/5809] Time 1.028 (0.590) Data 0.968 (0.517) Loss 2.5237 (2.5804) Prec@1 41.016 (37.125) Prec@5 69.922 (67.510) Epoch: [19][1190/5809] Time 0.970 (0.591) Data 0.910 (0.519) Loss 2.5365 (2.5807) Prec@1 39.844 (37.126) Prec@5 65.625 (67.501) Epoch: [19][1200/5809] Time 0.136 (0.593) Data 0.001 (0.521) Loss 2.4766 (2.5808) Prec@1 37.891 (37.124) Prec@5 69.922 (67.495) Epoch: [19][1210/5809] Time 1.195 (0.595) Data 1.132 (0.523) Loss 2.5072 (2.5809) Prec@1 34.766 (37.118) Prec@5 70.703 (67.496) Epoch: [19][1220/5809] Time 0.137 (0.596) Data 0.076 (0.524) Loss 2.5672 (2.5812) Prec@1 34.766 (37.112) Prec@5 70.703 (67.500) Epoch: [19][1230/5809] Time 1.515 (0.600) Data 1.451 (0.528) Loss 2.7162 (2.5810) Prec@1 33.594 (37.115) Prec@5 63.281 (67.504) Epoch: [19][1240/5809] Time 0.137 (0.601) Data 0.053 (0.529) Loss 2.5651 (2.5807) Prec@1 35.156 (37.123) Prec@5 66.797 (67.505) Epoch: [19][1250/5809] Time 1.095 (0.604) Data 1.035 (0.532) Loss 2.4264 (2.5802) Prec@1 39.453 (37.127) Prec@5 72.266 (67.519) Epoch: [19][1260/5809] Time 0.140 (0.606) Data 0.081 (0.533) Loss 2.4623 (2.5806) Prec@1 40.234 (37.124) Prec@5 67.578 (67.510) Epoch: [19][1270/5809] Time 0.269 (0.605) Data 0.210 (0.533) Loss 2.6304 (2.5801) Prec@1 34.375 (37.135) Prec@5 66.797 (67.519) Epoch: [19][1280/5809] Time 0.196 (0.605) Data 0.138 (0.533) Loss 2.6952 (2.5801) Prec@1 35.547 (37.143) Prec@5 64.453 (67.518) Epoch: [19][1290/5809] Time 0.578 (0.604) Data 0.520 (0.532) Loss 2.5568 (2.5799) Prec@1 38.672 (37.152) Prec@5 64.453 (67.521) Epoch: [19][1300/5809] Time 0.322 (0.603) Data 0.263 (0.531) Loss 2.6775 (2.5801) Prec@1 38.281 (37.146) Prec@5 66.406 (67.521) Epoch: [19][1310/5809] Time 0.690 (0.602) Data 0.623 (0.531) Loss 2.5687 (2.5808) Prec@1 36.328 (37.132) Prec@5 68.750 (67.505) Epoch: [19][1320/5809] Time 0.439 (0.601) Data 0.381 (0.529) Loss 2.4613 (2.5805) Prec@1 38.281 (37.135) Prec@5 71.875 (67.515) Epoch: [19][1330/5809] Time 0.898 (0.601) Data 0.840 (0.529) Loss 2.5982 (2.5806) Prec@1 34.375 (37.141) Prec@5 64.844 (67.508) Epoch: [19][1340/5809] Time 0.126 (0.600) Data 0.057 (0.528) Loss 2.7448 (2.5813) Prec@1 37.109 (37.131) Prec@5 64.844 (67.486) Epoch: [19][1350/5809] Time 0.840 (0.599) Data 0.773 (0.528) Loss 2.6655 (2.5812) Prec@1 35.547 (37.132) Prec@5 66.406 (67.487) Epoch: [19][1360/5809] Time 0.131 (0.598) Data 0.046 (0.526) Loss 2.5099 (2.5811) Prec@1 39.062 (37.136) Prec@5 67.969 (67.490) Epoch: [19][1370/5809] Time 0.601 (0.598) Data 0.543 (0.526) Loss 2.6039 (2.5813) Prec@1 35.156 (37.130) Prec@5 66.016 (67.484) Epoch: [19][1380/5809] Time 0.218 (0.596) Data 0.159 (0.524) Loss 2.4468 (2.5813) Prec@1 42.188 (37.132) Prec@5 71.484 (67.489) Epoch: [19][1390/5809] Time 0.249 (0.596) Data 0.190 (0.524) Loss 2.4141 (2.5817) Prec@1 39.844 (37.128) Prec@5 71.875 (67.483) Epoch: [19][1400/5809] Time 0.140 (0.595) Data 0.081 (0.523) Loss 2.4129 (2.5817) Prec@1 37.109 (37.124) Prec@5 73.047 (67.481) Epoch: [19][1410/5809] Time 0.197 (0.595) Data 0.137 (0.523) Loss 2.3613 (2.5813) Prec@1 49.219 (37.133) Prec@5 68.750 (67.485) Epoch: [19][1420/5809] Time 0.275 (0.594) Data 0.215 (0.522) Loss 2.6648 (2.5813) Prec@1 32.812 (37.135) Prec@5 64.453 (67.490) Epoch: [19][1430/5809] Time 0.133 (0.593) Data 0.049 (0.521) Loss 2.5105 (2.5815) Prec@1 40.234 (37.132) Prec@5 67.578 (67.484) Epoch: [19][1440/5809] Time 0.188 (0.593) Data 0.127 (0.521) Loss 2.5379 (2.5814) Prec@1 37.109 (37.134) Prec@5 70.703 (67.484) Epoch: [19][1450/5809] Time 0.460 (0.593) Data 0.401 (0.521) Loss 2.4976 (2.5813) Prec@1 35.938 (37.131) Prec@5 67.969 (67.476) Epoch: [19][1460/5809] Time 0.256 (0.592) Data 0.195 (0.520) Loss 2.5285 (2.5810) Prec@1 36.719 (37.141) Prec@5 68.750 (67.483) Epoch: [19][1470/5809] Time 0.455 (0.592) Data 0.394 (0.520) Loss 2.6621 (2.5808) Prec@1 37.109 (37.145) Prec@5 66.016 (67.486) Epoch: [19][1480/5809] Time 0.313 (0.591) Data 0.253 (0.519) Loss 2.6806 (2.5813) Prec@1 38.281 (37.131) Prec@5 63.281 (67.475) Epoch: [19][1490/5809] Time 0.607 (0.591) Data 0.547 (0.519) Loss 2.5949 (2.5812) Prec@1 36.719 (37.133) Prec@5 66.406 (67.476) Epoch: [19][1500/5809] Time 0.133 (0.589) Data 0.001 (0.517) Loss 2.6658 (2.5809) Prec@1 36.328 (37.142) Prec@5 66.016 (67.476) Epoch: [19][1510/5809] Time 0.595 (0.589) Data 0.536 (0.517) Loss 2.5261 (2.5814) Prec@1 34.766 (37.127) Prec@5 66.406 (67.463) Epoch: [19][1520/5809] Time 0.437 (0.588) Data 0.377 (0.516) Loss 2.5379 (2.5816) Prec@1 36.719 (37.125) Prec@5 71.094 (67.463) Epoch: [19][1530/5809] Time 0.223 (0.588) Data 0.158 (0.516) Loss 2.6366 (2.5815) Prec@1 40.234 (37.130) Prec@5 66.797 (67.469) Epoch: [19][1540/5809] Time 0.893 (0.588) Data 0.832 (0.516) Loss 2.4731 (2.5816) Prec@1 37.500 (37.128) Prec@5 71.484 (67.466) Epoch: [19][1550/5809] Time 0.168 (0.587) Data 0.109 (0.515) Loss 2.5704 (2.5815) Prec@1 32.422 (37.124) Prec@5 67.578 (67.470) Epoch: [19][1560/5809] Time 0.959 (0.587) Data 0.900 (0.515) Loss 2.6952 (2.5812) Prec@1 34.766 (37.126) Prec@5 65.625 (67.480) Epoch: [19][1570/5809] Time 0.620 (0.587) Data 0.552 (0.515) Loss 2.6015 (2.5817) Prec@1 41.406 (37.117) Prec@5 65.625 (67.477) Epoch: [19][1580/5809] Time 0.743 (0.586) Data 0.685 (0.514) Loss 2.4559 (2.5820) Prec@1 42.578 (37.114) Prec@5 68.359 (67.469) Epoch: [19][1590/5809] Time 0.433 (0.585) Data 0.374 (0.513) Loss 2.3789 (2.5817) Prec@1 44.531 (37.124) Prec@5 69.141 (67.471) Epoch: [19][1600/5809] Time 0.838 (0.585) Data 0.779 (0.513) Loss 2.6490 (2.5816) Prec@1 36.719 (37.132) Prec@5 65.234 (67.465) Epoch: [19][1610/5809] Time 0.294 (0.585) Data 0.235 (0.513) Loss 2.5547 (2.5811) Prec@1 37.500 (37.145) Prec@5 67.188 (67.476) Epoch: [19][1620/5809] Time 1.322 (0.584) Data 1.262 (0.513) Loss 2.5950 (2.5812) Prec@1 36.328 (37.136) Prec@5 65.234 (67.478) Epoch: [19][1630/5809] Time 0.192 (0.583) Data 0.133 (0.512) Loss 2.5571 (2.5810) Prec@1 34.766 (37.130) Prec@5 70.312 (67.481) Epoch: [19][1640/5809] Time 1.253 (0.583) Data 1.195 (0.511) Loss 2.5199 (2.5810) Prec@1 36.328 (37.133) Prec@5 67.578 (67.479) Epoch: [19][1650/5809] Time 0.801 (0.583) Data 0.734 (0.511) Loss 2.6245 (2.5812) Prec@1 37.109 (37.124) Prec@5 67.578 (67.474) Epoch: [19][1660/5809] Time 0.626 (0.582) Data 0.567 (0.510) Loss 2.7576 (2.5816) Prec@1 38.672 (37.118) Prec@5 62.891 (67.463) Epoch: [19][1670/5809] Time 1.210 (0.582) Data 1.152 (0.510) Loss 2.6598 (2.5819) Prec@1 37.500 (37.114) Prec@5 64.453 (67.456) Epoch: [19][1680/5809] Time 0.225 (0.581) Data 0.165 (0.509) Loss 2.7260 (2.5818) Prec@1 36.328 (37.119) Prec@5 65.625 (67.460) Epoch: [19][1690/5809] Time 1.207 (0.581) Data 1.148 (0.509) Loss 2.7690 (2.5819) Prec@1 33.594 (37.114) Prec@5 62.109 (67.451) Epoch: [19][1700/5809] Time 0.139 (0.580) Data 0.001 (0.508) Loss 2.5258 (2.5817) Prec@1 38.281 (37.119) Prec@5 68.750 (67.456) Epoch: [19][1710/5809] Time 1.166 (0.580) Data 1.109 (0.507) Loss 2.6758 (2.5818) Prec@1 35.547 (37.109) Prec@5 67.969 (67.453) Epoch: [19][1720/5809] Time 0.140 (0.579) Data 0.001 (0.507) Loss 2.5206 (2.5818) Prec@1 38.672 (37.104) Prec@5 67.188 (67.460) Epoch: [19][1730/5809] Time 1.210 (0.579) Data 1.143 (0.507) Loss 2.1921 (2.5818) Prec@1 46.094 (37.105) Prec@5 71.875 (67.454) Epoch: [19][1740/5809] Time 0.654 (0.578) Data 0.596 (0.506) Loss 2.5834 (2.5821) Prec@1 35.156 (37.095) Prec@5 67.969 (67.446) Epoch: [19][1750/5809] Time 0.956 (0.578) Data 0.897 (0.505) Loss 2.6567 (2.5821) Prec@1 38.672 (37.098) Prec@5 64.062 (67.450) Epoch: [19][1760/5809] Time 0.697 (0.577) Data 0.638 (0.505) Loss 2.6832 (2.5824) Prec@1 37.109 (37.090) Prec@5 64.844 (67.443) Epoch: [19][1770/5809] Time 0.133 (0.577) Data 0.006 (0.504) Loss 2.6949 (2.5832) Prec@1 32.031 (37.070) Prec@5 66.406 (67.430) Epoch: [19][1780/5809] Time 0.525 (0.576) Data 0.466 (0.504) Loss 2.6140 (2.5832) Prec@1 34.766 (37.062) Prec@5 68.359 (67.432) Epoch: [19][1790/5809] Time 0.131 (0.576) Data 0.068 (0.504) Loss 2.5676 (2.5830) Prec@1 36.328 (37.064) Prec@5 69.922 (67.437) Epoch: [19][1800/5809] Time 0.242 (0.576) Data 0.183 (0.503) Loss 2.7777 (2.5833) Prec@1 33.984 (37.053) Prec@5 63.281 (67.428) Epoch: [19][1810/5809] Time 0.133 (0.575) Data 0.001 (0.503) Loss 2.5338 (2.5835) Prec@1 37.500 (37.055) Prec@5 72.266 (67.427) Epoch: [19][1820/5809] Time 0.288 (0.575) Data 0.230 (0.503) Loss 2.3825 (2.5834) Prec@1 40.625 (37.053) Prec@5 67.578 (67.431) Epoch: [19][1830/5809] Time 0.578 (0.574) Data 0.519 (0.502) Loss 2.4662 (2.5833) Prec@1 39.453 (37.051) Prec@5 69.922 (67.436) Epoch: [19][1840/5809] Time 0.134 (0.574) Data 0.001 (0.502) Loss 2.5849 (2.5833) Prec@1 38.672 (37.044) Prec@5 66.406 (67.439) Epoch: [19][1850/5809] Time 0.133 (0.573) Data 0.053 (0.501) Loss 2.7412 (2.5835) Prec@1 39.453 (37.042) Prec@5 68.359 (67.438) Epoch: [19][1860/5809] Time 0.178 (0.573) Data 0.118 (0.501) Loss 2.5330 (2.5836) Prec@1 40.625 (37.042) Prec@5 66.797 (67.434) Epoch: [19][1870/5809] Time 0.624 (0.573) Data 0.566 (0.501) Loss 2.4622 (2.5834) Prec@1 39.453 (37.052) Prec@5 71.094 (67.439) Epoch: [19][1880/5809] Time 0.516 (0.572) Data 0.457 (0.500) Loss 2.5985 (2.5835) Prec@1 38.281 (37.049) Prec@5 69.141 (67.439) Epoch: [19][1890/5809] Time 0.125 (0.572) Data 0.052 (0.500) Loss 2.4626 (2.5835) Prec@1 41.406 (37.046) Prec@5 72.656 (67.440) Epoch: [19][1900/5809] Time 0.132 (0.571) Data 0.001 (0.499) Loss 2.6289 (2.5830) Prec@1 37.500 (37.050) Prec@5 67.188 (67.449) Epoch: [19][1910/5809] Time 0.132 (0.571) Data 0.001 (0.499) Loss 2.4127 (2.5828) Prec@1 41.016 (37.051) Prec@5 72.266 (67.462) Epoch: [19][1920/5809] Time 0.132 (0.570) Data 0.001 (0.498) Loss 2.7109 (2.5827) Prec@1 36.719 (37.056) Prec@5 65.234 (67.463) Epoch: [19][1930/5809] Time 0.345 (0.570) Data 0.285 (0.498) Loss 2.6542 (2.5827) Prec@1 41.797 (37.061) Prec@5 65.625 (67.461) Epoch: [19][1940/5809] Time 0.133 (0.570) Data 0.001 (0.498) Loss 2.6623 (2.5828) Prec@1 36.719 (37.053) Prec@5 64.844 (67.458) Epoch: [19][1950/5809] Time 0.364 (0.569) Data 0.303 (0.497) Loss 2.3264 (2.5829) Prec@1 44.531 (37.053) Prec@5 73.438 (67.455) Epoch: [19][1960/5809] Time 0.542 (0.569) Data 0.476 (0.497) Loss 2.4807 (2.5831) Prec@1 40.625 (37.054) Prec@5 69.922 (67.452) Epoch: [19][1970/5809] Time 0.133 (0.568) Data 0.010 (0.496) Loss 2.6539 (2.5829) Prec@1 36.719 (37.057) Prec@5 63.672 (67.454) Epoch: [19][1980/5809] Time 0.131 (0.568) Data 0.053 (0.496) Loss 2.4433 (2.5828) Prec@1 36.328 (37.050) Prec@5 71.484 (67.458) Epoch: [19][1990/5809] Time 0.348 (0.568) Data 0.290 (0.496) Loss 2.4609 (2.5830) Prec@1 37.891 (37.046) Prec@5 73.047 (67.461) Epoch: [19][2000/5809] Time 0.710 (0.568) Data 0.650 (0.496) Loss 2.6305 (2.5829) Prec@1 36.719 (37.053) Prec@5 66.406 (67.457) Epoch: [19][2010/5809] Time 0.125 (0.567) Data 0.057 (0.495) Loss 2.5347 (2.5830) Prec@1 37.891 (37.048) Prec@5 65.234 (67.451) Epoch: [19][2020/5809] Time 0.578 (0.567) Data 0.519 (0.495) Loss 2.6349 (2.5832) Prec@1 38.281 (37.045) Prec@5 67.578 (67.449) Epoch: [19][2030/5809] Time 0.653 (0.567) Data 0.595 (0.495) Loss 2.8662 (2.5835) Prec@1 33.594 (37.040) Prec@5 58.594 (67.440) Epoch: [19][2040/5809] Time 0.340 (0.566) Data 0.281 (0.494) Loss 2.6234 (2.5837) Prec@1 35.156 (37.041) Prec@5 65.234 (67.436) Epoch: [19][2050/5809] Time 0.763 (0.566) Data 0.705 (0.494) Loss 2.6436 (2.5838) Prec@1 39.062 (37.037) Prec@5 64.062 (67.431) Epoch: [19][2060/5809] Time 0.178 (0.566) Data 0.119 (0.494) Loss 2.5166 (2.5836) Prec@1 38.281 (37.038) Prec@5 68.359 (67.431) Epoch: [19][2070/5809] Time 0.132 (0.565) Data 0.001 (0.493) Loss 2.6486 (2.5834) Prec@1 38.281 (37.042) Prec@5 67.188 (67.434) Epoch: [19][2080/5809] Time 0.141 (0.565) Data 0.001 (0.493) Loss 2.5701 (2.5837) Prec@1 33.203 (37.040) Prec@5 69.141 (67.433) Epoch: [19][2090/5809] Time 0.170 (0.564) Data 0.111 (0.493) Loss 2.6222 (2.5837) Prec@1 35.547 (37.043) Prec@5 61.328 (67.432) Epoch: [19][2100/5809] Time 0.546 (0.565) Data 0.488 (0.493) Loss 2.5700 (2.5840) Prec@1 37.500 (37.038) Prec@5 68.750 (67.427) Epoch: [19][2110/5809] Time 0.133 (0.564) Data 0.054 (0.492) Loss 2.3901 (2.5838) Prec@1 41.016 (37.040) Prec@5 69.922 (67.430) Epoch: [19][2120/5809] Time 0.343 (0.564) Data 0.283 (0.492) Loss 2.5759 (2.5835) Prec@1 32.031 (37.040) Prec@5 67.188 (67.433) Epoch: [19][2130/5809] Time 0.275 (0.564) Data 0.217 (0.492) Loss 2.7270 (2.5837) Prec@1 36.328 (37.042) Prec@5 64.453 (67.430) Epoch: [19][2140/5809] Time 0.133 (0.564) Data 0.001 (0.492) Loss 2.4632 (2.5832) Prec@1 37.891 (37.046) Prec@5 68.750 (67.443) Epoch: [19][2150/5809] Time 0.422 (0.564) Data 0.364 (0.492) Loss 2.2484 (2.5833) Prec@1 42.969 (37.039) Prec@5 71.875 (67.438) Epoch: [19][2160/5809] Time 0.133 (0.564) Data 0.001 (0.492) Loss 2.5987 (2.5831) Prec@1 37.891 (37.046) Prec@5 67.188 (67.438) Epoch: [19][2170/5809] Time 0.138 (0.563) Data 0.078 (0.491) Loss 2.5326 (2.5832) Prec@1 36.328 (37.046) Prec@5 66.016 (67.437) Epoch: [19][2180/5809] Time 0.139 (0.564) Data 0.001 (0.491) Loss 2.6943 (2.5834) Prec@1 28.125 (37.040) Prec@5 67.188 (67.437) Epoch: [19][2190/5809] Time 0.133 (0.563) Data 0.001 (0.491) Loss 2.5336 (2.5834) Prec@1 38.672 (37.038) Prec@5 67.969 (67.434) Epoch: [19][2200/5809] Time 0.200 (0.563) Data 0.140 (0.491) Loss 2.4187 (2.5833) Prec@1 43.359 (37.041) Prec@5 69.531 (67.433) Epoch: [19][2210/5809] Time 0.454 (0.563) Data 0.395 (0.491) Loss 2.6754 (2.5833) Prec@1 34.375 (37.035) Prec@5 69.531 (67.439) Epoch: [19][2220/5809] Time 0.130 (0.563) Data 0.049 (0.491) Loss 2.5862 (2.5834) Prec@1 37.109 (37.037) Prec@5 71.484 (67.438) Epoch: [19][2230/5809] Time 0.653 (0.563) Data 0.594 (0.491) Loss 2.7708 (2.5839) Prec@1 33.203 (37.032) Prec@5 62.891 (67.425) Epoch: [19][2240/5809] Time 0.529 (0.563) Data 0.467 (0.491) Loss 2.5178 (2.5839) Prec@1 39.844 (37.037) Prec@5 68.359 (67.422) Epoch: [19][2250/5809] Time 0.425 (0.563) Data 0.367 (0.491) Loss 2.5626 (2.5839) Prec@1 36.719 (37.040) Prec@5 69.531 (67.421) Epoch: [19][2260/5809] Time 0.581 (0.563) Data 0.521 (0.491) Loss 2.4388 (2.5838) Prec@1 41.406 (37.037) Prec@5 70.312 (67.422) Epoch: [19][2270/5809] Time 0.407 (0.563) Data 0.349 (0.490) Loss 2.6569 (2.5839) Prec@1 37.500 (37.032) Prec@5 63.281 (67.418) Epoch: [19][2280/5809] Time 0.155 (0.563) Data 0.096 (0.490) Loss 2.7550 (2.5839) Prec@1 32.812 (37.031) Prec@5 64.062 (67.420) Epoch: [19][2290/5809] Time 0.698 (0.563) Data 0.638 (0.490) Loss 2.7409 (2.5837) Prec@1 34.766 (37.038) Prec@5 63.672 (67.422) Epoch: [19][2300/5809] Time 0.789 (0.563) Data 0.729 (0.490) Loss 2.7524 (2.5838) Prec@1 35.547 (37.037) Prec@5 61.719 (67.421) Epoch: [19][2310/5809] Time 0.784 (0.562) Data 0.723 (0.490) Loss 2.4113 (2.5839) Prec@1 40.625 (37.035) Prec@5 70.312 (67.421) Epoch: [19][2320/5809] Time 0.766 (0.562) Data 0.705 (0.490) Loss 2.2617 (2.5840) Prec@1 42.578 (37.034) Prec@5 73.047 (67.417) Epoch: [19][2330/5809] Time 0.202 (0.562) Data 0.141 (0.490) Loss 2.6949 (2.5839) Prec@1 36.328 (37.035) Prec@5 66.016 (67.418) Epoch: [19][2340/5809] Time 0.598 (0.562) Data 0.540 (0.490) Loss 2.5538 (2.5842) Prec@1 35.938 (37.028) Prec@5 66.797 (67.410) Epoch: [19][2350/5809] Time 0.221 (0.562) Data 0.163 (0.490) Loss 2.5769 (2.5844) Prec@1 37.109 (37.031) Prec@5 68.359 (67.407) Epoch: [19][2360/5809] Time 0.466 (0.562) Data 0.408 (0.489) Loss 2.7374 (2.5844) Prec@1 33.203 (37.032) Prec@5 67.188 (67.410) Epoch: [19][2370/5809] Time 0.290 (0.562) Data 0.232 (0.490) Loss 2.6612 (2.5844) Prec@1 36.719 (37.028) Prec@5 65.625 (67.411) Epoch: [19][2380/5809] Time 0.128 (0.561) Data 0.057 (0.489) Loss 2.2508 (2.5844) Prec@1 43.359 (37.030) Prec@5 73.828 (67.411) Epoch: [19][2390/5809] Time 0.479 (0.562) Data 0.422 (0.490) Loss 2.4832 (2.5844) Prec@1 37.891 (37.030) Prec@5 69.141 (67.416) Epoch: [19][2400/5809] Time 0.309 (0.561) Data 0.252 (0.489) Loss 2.5116 (2.5842) Prec@1 35.547 (37.029) Prec@5 66.406 (67.422) Epoch: [19][2410/5809] Time 0.425 (0.561) Data 0.366 (0.489) Loss 2.5688 (2.5840) Prec@1 39.844 (37.032) Prec@5 66.016 (67.420) Epoch: [19][2420/5809] Time 0.155 (0.561) Data 0.097 (0.489) Loss 2.5879 (2.5842) Prec@1 35.156 (37.029) Prec@5 67.969 (67.417) Epoch: [19][2430/5809] Time 0.556 (0.561) Data 0.496 (0.489) Loss 2.4433 (2.5843) Prec@1 38.672 (37.027) Prec@5 69.922 (67.418) Epoch: [19][2440/5809] Time 0.132 (0.561) Data 0.001 (0.489) Loss 2.7055 (2.5844) Prec@1 34.766 (37.028) Prec@5 65.234 (67.420) Epoch: [19][2450/5809] Time 0.131 (0.561) Data 0.038 (0.489) Loss 2.7342 (2.5847) Prec@1 34.375 (37.022) Prec@5 63.672 (67.411) Epoch: [19][2460/5809] Time 0.133 (0.561) Data 0.001 (0.489) Loss 2.6283 (2.5850) Prec@1 36.328 (37.016) Prec@5 67.188 (67.403) Epoch: [19][2470/5809] Time 0.132 (0.561) Data 0.001 (0.489) Loss 2.6046 (2.5853) Prec@1 33.594 (37.005) Prec@5 63.281 (67.396) Epoch: [19][2480/5809] Time 0.281 (0.560) Data 0.222 (0.488) Loss 2.5130 (2.5854) Prec@1 34.766 (37.000) Prec@5 65.234 (67.391) Epoch: [19][2490/5809] Time 0.126 (0.560) Data 0.001 (0.488) Loss 2.5693 (2.5854) Prec@1 41.016 (37.000) Prec@5 66.406 (67.392) Epoch: [19][2500/5809] Time 0.134 (0.560) Data 0.001 (0.488) Loss 2.5051 (2.5854) Prec@1 38.672 (36.994) Prec@5 69.141 (67.391) Epoch: [19][2510/5809] Time 0.162 (0.560) Data 0.101 (0.488) Loss 2.5079 (2.5854) Prec@1 30.469 (36.995) Prec@5 71.094 (67.392) Epoch: [19][2520/5809] Time 0.239 (0.560) Data 0.180 (0.488) Loss 2.5201 (2.5852) Prec@1 35.156 (36.993) Prec@5 69.922 (67.395) Epoch: [19][2530/5809] Time 0.941 (0.560) Data 0.882 (0.488) Loss 2.5742 (2.5850) Prec@1 39.453 (36.995) Prec@5 67.188 (67.396) Epoch: [19][2540/5809] Time 0.434 (0.560) Data 0.376 (0.487) Loss 2.6941 (2.5848) Prec@1 34.375 (36.997) Prec@5 66.797 (67.403) Epoch: [19][2550/5809] Time 0.439 (0.560) Data 0.378 (0.487) Loss 2.6361 (2.5848) Prec@1 37.500 (36.994) Prec@5 67.188 (67.408) Epoch: [19][2560/5809] Time 0.135 (0.559) Data 0.071 (0.487) Loss 2.2107 (2.5846) Prec@1 42.578 (36.997) Prec@5 72.266 (67.415) Epoch: [19][2570/5809] Time 0.746 (0.560) Data 0.687 (0.487) Loss 2.7184 (2.5847) Prec@1 36.328 (37.000) Prec@5 65.625 (67.415) Epoch: [19][2580/5809] Time 0.133 (0.559) Data 0.001 (0.487) Loss 2.7018 (2.5849) Prec@1 35.547 (36.995) Prec@5 64.062 (67.412) Epoch: [19][2590/5809] Time 0.134 (0.560) Data 0.001 (0.487) Loss 2.6288 (2.5851) Prec@1 36.719 (36.993) Prec@5 67.188 (67.413) Epoch: [19][2600/5809] Time 0.134 (0.559) Data 0.042 (0.487) Loss 2.5326 (2.5852) Prec@1 42.188 (36.991) Prec@5 67.188 (67.411) Epoch: [19][2610/5809] Time 0.212 (0.559) Data 0.154 (0.487) Loss 2.4366 (2.5849) Prec@1 40.625 (37.000) Prec@5 68.750 (67.417) Epoch: [19][2620/5809] Time 0.613 (0.559) Data 0.555 (0.487) Loss 2.4822 (2.5847) Prec@1 35.547 (37.000) Prec@5 72.266 (67.422) Epoch: [19][2630/5809] Time 0.871 (0.559) Data 0.811 (0.487) Loss 2.5103 (2.5846) Prec@1 37.891 (37.005) Prec@5 71.484 (67.425) Epoch: [19][2640/5809] Time 0.277 (0.559) Data 0.216 (0.487) Loss 2.4778 (2.5846) Prec@1 37.891 (37.003) Prec@5 71.484 (67.423) Epoch: [19][2650/5809] Time 0.734 (0.559) Data 0.674 (0.487) Loss 2.7250 (2.5844) Prec@1 35.156 (37.002) Prec@5 65.234 (67.425) Epoch: [19][2660/5809] Time 0.343 (0.559) Data 0.282 (0.487) Loss 2.6129 (2.5846) Prec@1 36.328 (37.001) Prec@5 62.500 (67.420) Epoch: [19][2670/5809] Time 1.339 (0.559) Data 1.280 (0.487) Loss 2.5392 (2.5849) Prec@1 40.234 (36.995) Prec@5 71.094 (67.416) Epoch: [19][2680/5809] Time 0.136 (0.559) Data 0.001 (0.486) Loss 2.4582 (2.5849) Prec@1 42.578 (36.998) Prec@5 71.094 (67.415) Epoch: [19][2690/5809] Time 1.088 (0.559) Data 1.029 (0.486) Loss 2.5881 (2.5848) Prec@1 37.500 (37.001) Prec@5 67.578 (67.416) Epoch: [19][2700/5809] Time 0.295 (0.558) Data 0.237 (0.486) Loss 2.6341 (2.5848) Prec@1 35.938 (37.001) Prec@5 66.406 (67.414) Epoch: [19][2710/5809] Time 1.226 (0.558) Data 1.160 (0.486) Loss 2.3739 (2.5848) Prec@1 39.062 (37.003) Prec@5 74.609 (67.417) Epoch: [19][2720/5809] Time 0.616 (0.558) Data 0.555 (0.486) Loss 2.5073 (2.5850) Prec@1 37.500 (37.002) Prec@5 66.406 (67.414) Epoch: [19][2730/5809] Time 1.152 (0.558) Data 1.091 (0.486) Loss 2.4270 (2.5849) Prec@1 37.891 (37.003) Prec@5 72.656 (67.415) Epoch: [19][2740/5809] Time 0.527 (0.558) Data 0.469 (0.486) Loss 2.5807 (2.5850) Prec@1 36.328 (37.002) Prec@5 65.625 (67.414) Epoch: [19][2750/5809] Time 0.739 (0.558) Data 0.677 (0.486) Loss 2.5431 (2.5849) Prec@1 37.109 (37.008) Prec@5 67.969 (67.415) Epoch: [19][2760/5809] Time 0.572 (0.558) Data 0.514 (0.486) Loss 2.5122 (2.5847) Prec@1 31.641 (37.009) Prec@5 69.531 (67.418) Epoch: [19][2770/5809] Time 1.305 (0.558) Data 1.246 (0.486) Loss 2.5632 (2.5848) Prec@1 38.672 (37.007) Prec@5 67.188 (67.415) Epoch: [19][2780/5809] Time 0.130 (0.558) Data 0.059 (0.486) Loss 2.5634 (2.5847) Prec@1 38.281 (37.006) Prec@5 69.922 (67.416) Epoch: [19][2790/5809] Time 0.999 (0.558) Data 0.941 (0.486) Loss 2.4855 (2.5848) Prec@1 42.188 (37.008) Prec@5 70.312 (67.416) Epoch: [19][2800/5809] Time 0.411 (0.558) Data 0.350 (0.486) Loss 2.6355 (2.5849) Prec@1 40.625 (37.004) Prec@5 64.453 (67.415) Epoch: [19][2810/5809] Time 0.960 (0.558) Data 0.902 (0.486) Loss 2.6285 (2.5847) Prec@1 39.453 (37.010) Prec@5 69.141 (67.418) Epoch: [19][2820/5809] Time 0.379 (0.558) Data 0.321 (0.486) Loss 2.5155 (2.5847) Prec@1 39.844 (37.009) Prec@5 72.266 (67.421) Epoch: [19][2830/5809] Time 0.752 (0.558) Data 0.694 (0.486) Loss 2.5630 (2.5846) Prec@1 36.328 (37.009) Prec@5 65.625 (67.423) Epoch: [19][2840/5809] Time 0.134 (0.557) Data 0.001 (0.486) Loss 2.5302 (2.5848) Prec@1 38.672 (37.007) Prec@5 68.750 (67.417) Epoch: [19][2850/5809] Time 0.761 (0.557) Data 0.703 (0.485) Loss 2.6920 (2.5851) Prec@1 40.234 (37.004) Prec@5 69.531 (67.415) Epoch: [19][2860/5809] Time 0.231 (0.557) Data 0.173 (0.485) Loss 2.6260 (2.5849) Prec@1 38.672 (37.006) Prec@5 69.141 (67.417) Epoch: [19][2870/5809] Time 1.003 (0.557) Data 0.945 (0.485) Loss 2.4441 (2.5850) Prec@1 39.453 (37.000) Prec@5 69.141 (67.415) Epoch: [19][2880/5809] Time 0.216 (0.557) Data 0.158 (0.485) Loss 2.5022 (2.5851) Prec@1 40.625 (37.002) Prec@5 71.094 (67.416) Epoch: [19][2890/5809] Time 1.178 (0.557) Data 1.120 (0.485) Loss 2.6061 (2.5852) Prec@1 38.281 (37.002) Prec@5 67.969 (67.412) Epoch: [19][2900/5809] Time 0.131 (0.557) Data 0.001 (0.485) Loss 2.4945 (2.5852) Prec@1 37.109 (36.996) Prec@5 71.094 (67.412) Epoch: [19][2910/5809] Time 1.654 (0.557) Data 1.593 (0.485) Loss 2.4190 (2.5852) Prec@1 40.234 (36.996) Prec@5 69.922 (67.415) Epoch: [19][2920/5809] Time 0.141 (0.557) Data 0.001 (0.485) Loss 2.4585 (2.5851) Prec@1 41.016 (36.997) Prec@5 69.141 (67.415) Epoch: [19][2930/5809] Time 1.458 (0.557) Data 1.386 (0.485) Loss 2.4902 (2.5851) Prec@1 39.062 (36.997) Prec@5 71.484 (67.418) Epoch: [19][2940/5809] Time 0.129 (0.557) Data 0.054 (0.484) Loss 2.5848 (2.5854) Prec@1 38.281 (36.993) Prec@5 68.750 (67.412) Epoch: [19][2950/5809] Time 1.357 (0.557) Data 1.292 (0.485) Loss 2.4143 (2.5854) Prec@1 40.234 (36.994) Prec@5 70.703 (67.413) Epoch: [19][2960/5809] Time 0.136 (0.557) Data 0.001 (0.484) Loss 2.6439 (2.5854) Prec@1 32.031 (36.998) Prec@5 66.797 (67.416) Epoch: [19][2970/5809] Time 0.958 (0.557) Data 0.900 (0.484) Loss 2.6053 (2.5854) Prec@1 36.328 (37.000) Prec@5 66.406 (67.414) Epoch: [19][2980/5809] Time 0.134 (0.556) Data 0.001 (0.484) Loss 2.4534 (2.5854) Prec@1 36.719 (37.003) Prec@5 70.703 (67.414) Epoch: [19][2990/5809] Time 0.715 (0.556) Data 0.657 (0.484) Loss 2.5867 (2.5853) Prec@1 39.062 (37.003) Prec@5 66.016 (67.416) Epoch: [19][3000/5809] Time 0.133 (0.556) Data 0.001 (0.484) Loss 2.4984 (2.5851) Prec@1 39.453 (37.006) Prec@5 70.703 (67.421) Epoch: [19][3010/5809] Time 0.176 (0.556) Data 0.119 (0.484) Loss 2.6566 (2.5852) Prec@1 35.156 (37.006) Prec@5 64.844 (67.420) Epoch: [19][3020/5809] Time 0.952 (0.556) Data 0.890 (0.484) Loss 2.4420 (2.5851) Prec@1 41.797 (37.005) Prec@5 71.484 (67.422) Epoch: [19][3030/5809] Time 0.248 (0.556) Data 0.190 (0.484) Loss 2.6568 (2.5852) Prec@1 35.938 (37.005) Prec@5 65.625 (67.419) Epoch: [19][3040/5809] Time 0.576 (0.556) Data 0.518 (0.484) Loss 2.6540 (2.5853) Prec@1 37.500 (37.005) Prec@5 66.406 (67.417) Epoch: [19][3050/5809] Time 0.133 (0.556) Data 0.001 (0.483) Loss 2.4391 (2.5853) Prec@1 37.500 (37.003) Prec@5 69.141 (67.416) Epoch: [19][3060/5809] Time 0.695 (0.556) Data 0.637 (0.484) Loss 2.5814 (2.5855) Prec@1 36.719 (36.999) Prec@5 68.750 (67.413) Epoch: [19][3070/5809] Time 0.386 (0.556) Data 0.327 (0.483) Loss 2.4259 (2.5853) Prec@1 41.406 (37.003) Prec@5 69.141 (67.416) Epoch: [19][3080/5809] Time 1.058 (0.556) Data 1.000 (0.483) Loss 2.4878 (2.5851) Prec@1 41.406 (37.009) Prec@5 69.922 (67.420) Epoch: [19][3090/5809] Time 0.191 (0.556) Data 0.132 (0.483) Loss 2.6044 (2.5850) Prec@1 38.281 (37.015) Prec@5 67.188 (67.423) Epoch: [19][3100/5809] Time 1.295 (0.556) Data 1.237 (0.484) Loss 2.5481 (2.5848) Prec@1 36.328 (37.022) Prec@5 66.797 (67.426) Epoch: [19][3110/5809] Time 0.627 (0.556) Data 0.569 (0.483) Loss 2.4958 (2.5848) Prec@1 41.406 (37.023) Prec@5 68.359 (67.429) Epoch: [19][3120/5809] Time 1.314 (0.556) Data 1.255 (0.484) Loss 2.8169 (2.5851) Prec@1 35.938 (37.018) Prec@5 62.109 (67.424) Epoch: [19][3130/5809] Time 0.470 (0.555) Data 0.411 (0.483) Loss 2.5592 (2.5849) Prec@1 37.109 (37.024) Prec@5 69.531 (67.426) Epoch: [19][3140/5809] Time 0.800 (0.556) Data 0.741 (0.483) Loss 2.5620 (2.5848) Prec@1 38.281 (37.025) Prec@5 67.969 (67.427) Epoch: [19][3150/5809] Time 0.127 (0.555) Data 0.059 (0.483) Loss 2.3924 (2.5848) Prec@1 39.062 (37.028) Prec@5 71.875 (67.428) Epoch: [19][3160/5809] Time 1.279 (0.556) Data 1.220 (0.483) Loss 2.5423 (2.5847) Prec@1 38.281 (37.030) Prec@5 68.750 (67.430) Epoch: [19][3170/5809] Time 0.133 (0.555) Data 0.052 (0.483) Loss 2.5460 (2.5845) Prec@1 35.547 (37.029) Prec@5 67.578 (67.431) Epoch: [19][3180/5809] Time 1.016 (0.555) Data 0.950 (0.483) Loss 2.6840 (2.5845) Prec@1 36.328 (37.031) Prec@5 67.188 (67.431) Epoch: [19][3190/5809] Time 0.491 (0.555) Data 0.432 (0.483) Loss 2.4733 (2.5847) Prec@1 39.844 (37.030) Prec@5 70.703 (67.427) Epoch: [19][3200/5809] Time 0.803 (0.555) Data 0.745 (0.483) Loss 2.5304 (2.5846) Prec@1 36.719 (37.029) Prec@5 69.531 (67.431) Epoch: [19][3210/5809] Time 0.503 (0.555) Data 0.435 (0.483) Loss 2.4974 (2.5847) Prec@1 37.109 (37.027) Prec@5 66.797 (67.433) Epoch: [19][3220/5809] Time 1.413 (0.555) Data 1.353 (0.483) Loss 2.6095 (2.5846) Prec@1 38.672 (37.029) Prec@5 62.891 (67.435) Epoch: [19][3230/5809] Time 0.133 (0.555) Data 0.050 (0.483) Loss 2.5938 (2.5845) Prec@1 36.328 (37.030) Prec@5 67.969 (67.436) Epoch: [19][3240/5809] Time 1.372 (0.555) Data 1.306 (0.483) Loss 2.3926 (2.5844) Prec@1 42.578 (37.035) Prec@5 72.266 (67.440) Epoch: [19][3250/5809] Time 0.459 (0.555) Data 0.398 (0.483) Loss 2.6209 (2.5843) Prec@1 36.719 (37.037) Prec@5 68.750 (67.440) Epoch: [19][3260/5809] Time 0.829 (0.555) Data 0.769 (0.483) Loss 2.4979 (2.5844) Prec@1 38.672 (37.035) Prec@5 70.312 (67.439) Epoch: [19][3270/5809] Time 0.127 (0.555) Data 0.001 (0.483) Loss 2.4824 (2.5843) Prec@1 39.844 (37.035) Prec@5 70.312 (67.442) Epoch: [19][3280/5809] Time 0.983 (0.555) Data 0.922 (0.482) Loss 2.6097 (2.5843) Prec@1 37.500 (37.030) Prec@5 67.188 (67.440) Epoch: [19][3290/5809] Time 0.126 (0.555) Data 0.052 (0.482) Loss 2.5170 (2.5844) Prec@1 37.891 (37.032) Prec@5 68.750 (67.440) Epoch: [19][3300/5809] Time 0.777 (0.555) Data 0.716 (0.482) Loss 2.6053 (2.5845) Prec@1 37.109 (37.029) Prec@5 64.844 (67.433) Epoch: [19][3310/5809] Time 0.168 (0.555) Data 0.107 (0.482) Loss 2.5776 (2.5845) Prec@1 38.281 (37.030) Prec@5 67.188 (67.437) Epoch: [19][3320/5809] Time 0.908 (0.555) Data 0.847 (0.483) Loss 2.5950 (2.5844) Prec@1 37.109 (37.032) Prec@5 67.578 (67.437) Epoch: [19][3330/5809] Time 0.133 (0.555) Data 0.001 (0.482) Loss 2.3900 (2.5844) Prec@1 42.578 (37.033) Prec@5 69.531 (67.437) Epoch: [19][3340/5809] Time 2.342 (0.556) Data 2.282 (0.483) Loss 2.4887 (2.5843) Prec@1 36.719 (37.031) Prec@5 68.359 (67.439) Epoch: [19][3350/5809] Time 0.140 (0.556) Data 0.060 (0.484) Loss 2.6706 (2.5845) Prec@1 33.203 (37.028) Prec@5 66.016 (67.439) Epoch: [19][3360/5809] Time 3.044 (0.558) Data 2.981 (0.485) Loss 2.6846 (2.5843) Prec@1 40.234 (37.029) Prec@5 64.453 (67.441) Epoch: [19][3370/5809] Time 0.213 (0.558) Data 0.153 (0.486) Loss 2.5852 (2.5842) Prec@1 37.109 (37.031) Prec@5 67.969 (67.441) Epoch: [19][3380/5809] Time 2.673 (0.560) Data 2.613 (0.488) Loss 2.6156 (2.5845) Prec@1 35.547 (37.026) Prec@5 66.406 (67.434) Epoch: [19][3390/5809] Time 1.027 (0.561) Data 0.964 (0.489) Loss 2.6606 (2.5845) Prec@1 35.547 (37.028) Prec@5 63.672 (67.433) Epoch: [19][3400/5809] Time 2.403 (0.562) Data 2.343 (0.490) Loss 2.4913 (2.5846) Prec@1 36.328 (37.026) Prec@5 67.578 (67.431) Epoch: [19][3410/5809] Time 0.926 (0.563) Data 0.848 (0.491) Loss 2.6344 (2.5845) Prec@1 34.766 (37.026) Prec@5 64.844 (67.435) Epoch: [19][3420/5809] Time 2.172 (0.564) Data 2.109 (0.492) Loss 2.7051 (2.5845) Prec@1 37.109 (37.026) Prec@5 65.234 (67.432) Epoch: [19][3430/5809] Time 0.794 (0.565) Data 0.734 (0.493) Loss 2.6900 (2.5846) Prec@1 36.328 (37.030) Prec@5 64.062 (67.432) Epoch: [19][3440/5809] Time 3.080 (0.567) Data 3.021 (0.495) Loss 2.3563 (2.5845) Prec@1 39.453 (37.028) Prec@5 68.750 (67.432) Epoch: [19][3450/5809] Time 0.492 (0.568) Data 0.431 (0.495) Loss 2.6348 (2.5846) Prec@1 37.500 (37.021) Prec@5 63.281 (67.431) Epoch: [19][3460/5809] Time 2.548 (0.569) Data 2.481 (0.497) Loss 2.5102 (2.5846) Prec@1 37.891 (37.023) Prec@5 69.531 (67.432) Epoch: [19][3470/5809] Time 0.304 (0.570) Data 0.237 (0.498) Loss 2.5221 (2.5847) Prec@1 37.891 (37.023) Prec@5 71.875 (67.430) Epoch: [19][3480/5809] Time 2.613 (0.571) Data 2.552 (0.499) Loss 2.3860 (2.5845) Prec@1 39.062 (37.025) Prec@5 73.047 (67.432) Epoch: [19][3490/5809] Time 0.508 (0.572) Data 0.442 (0.500) Loss 2.4673 (2.5846) Prec@1 37.891 (37.026) Prec@5 69.531 (67.430) Epoch: [19][3500/5809] Time 2.174 (0.573) Data 2.111 (0.501) Loss 2.4838 (2.5845) Prec@1 40.625 (37.025) Prec@5 67.578 (67.431) Epoch: [19][3510/5809] Time 0.136 (0.574) Data 0.001 (0.502) Loss 2.5775 (2.5845) Prec@1 35.156 (37.022) Prec@5 69.141 (67.432) Epoch: [19][3520/5809] Time 2.200 (0.575) Data 2.136 (0.503) Loss 2.6147 (2.5844) Prec@1 38.672 (37.021) Prec@5 64.453 (67.433) Epoch: [19][3530/5809] Time 0.136 (0.576) Data 0.001 (0.504) Loss 2.6521 (2.5845) Prec@1 33.984 (37.021) Prec@5 68.359 (67.432) Epoch: [19][3540/5809] Time 1.597 (0.577) Data 1.533 (0.505) Loss 2.5097 (2.5844) Prec@1 39.062 (37.023) Prec@5 70.703 (67.435) Epoch: [19][3550/5809] Time 0.380 (0.578) Data 0.317 (0.506) Loss 2.6397 (2.5841) Prec@1 38.281 (37.029) Prec@5 62.891 (67.438) Epoch: [19][3560/5809] Time 2.544 (0.580) Data 2.481 (0.507) Loss 2.5773 (2.5843) Prec@1 39.062 (37.027) Prec@5 68.750 (67.434) Epoch: [19][3570/5809] Time 1.475 (0.580) Data 1.405 (0.508) Loss 2.6053 (2.5844) Prec@1 35.156 (37.022) Prec@5 66.797 (67.433) Epoch: [19][3580/5809] Time 2.518 (0.582) Data 2.457 (0.509) Loss 2.6955 (2.5843) Prec@1 36.719 (37.021) Prec@5 65.625 (67.433) Epoch: [19][3590/5809] Time 0.829 (0.582) Data 0.769 (0.510) Loss 2.4319 (2.5843) Prec@1 41.797 (37.021) Prec@5 69.922 (67.432) Epoch: [19][3600/5809] Time 2.448 (0.584) Data 2.383 (0.511) Loss 2.4709 (2.5841) Prec@1 38.281 (37.023) Prec@5 71.094 (67.435) Epoch: [19][3610/5809] Time 0.273 (0.584) Data 0.208 (0.512) Loss 2.5806 (2.5840) Prec@1 33.594 (37.026) Prec@5 67.578 (67.438) Epoch: [19][3620/5809] Time 2.793 (0.585) Data 2.705 (0.513) Loss 2.5066 (2.5840) Prec@1 35.156 (37.024) Prec@5 69.922 (67.440) Epoch: [19][3630/5809] Time 0.739 (0.586) Data 0.679 (0.514) Loss 2.6159 (2.5841) Prec@1 37.500 (37.024) Prec@5 66.016 (67.438) Epoch: [19][3640/5809] Time 2.467 (0.587) Data 2.408 (0.515) Loss 2.7745 (2.5840) Prec@1 34.766 (37.026) Prec@5 62.891 (67.438) Epoch: [19][3650/5809] Time 0.184 (0.588) Data 0.121 (0.515) Loss 2.5382 (2.5841) Prec@1 39.453 (37.022) Prec@5 67.188 (67.436) Epoch: [19][3660/5809] Time 1.903 (0.589) Data 1.843 (0.517) Loss 2.6480 (2.5843) Prec@1 34.375 (37.018) Prec@5 62.109 (67.433) Epoch: [19][3670/5809] Time 0.136 (0.590) Data 0.001 (0.517) Loss 2.4654 (2.5843) Prec@1 43.359 (37.018) Prec@5 68.359 (67.432) Epoch: [19][3680/5809] Time 1.076 (0.591) Data 1.008 (0.518) Loss 2.5070 (2.5844) Prec@1 37.500 (37.012) Prec@5 71.484 (67.430) Epoch: [19][3690/5809] Time 0.456 (0.591) Data 0.396 (0.519) Loss 2.6380 (2.5845) Prec@1 38.281 (37.012) Prec@5 69.141 (67.426) Epoch: [19][3700/5809] Time 0.280 (0.592) Data 0.220 (0.520) Loss 2.5829 (2.5845) Prec@1 34.766 (37.009) Prec@5 65.234 (67.423) Epoch: [19][3710/5809] Time 0.135 (0.593) Data 0.001 (0.521) Loss 2.6544 (2.5846) Prec@1 39.062 (37.008) Prec@5 64.453 (67.421) Epoch: [19][3720/5809] Time 0.284 (0.594) Data 0.224 (0.522) Loss 2.5455 (2.5845) Prec@1 40.625 (37.010) Prec@5 68.750 (67.421) Epoch: [19][3730/5809] Time 0.518 (0.595) Data 0.458 (0.523) Loss 2.5318 (2.5845) Prec@1 38.281 (37.010) Prec@5 67.188 (67.424) Epoch: [19][3740/5809] Time 0.586 (0.596) Data 0.522 (0.524) Loss 2.6426 (2.5844) Prec@1 35.547 (37.010) Prec@5 66.406 (67.427) Epoch: [19][3750/5809] Time 1.068 (0.597) Data 1.008 (0.525) Loss 2.4753 (2.5844) Prec@1 39.844 (37.012) Prec@5 71.094 (67.427) Epoch: [19][3760/5809] Time 0.692 (0.598) Data 0.631 (0.526) Loss 2.8948 (2.5844) Prec@1 29.688 (37.010) Prec@5 63.672 (67.428) Epoch: [19][3770/5809] Time 0.882 (0.598) Data 0.822 (0.526) Loss 2.5743 (2.5844) Prec@1 37.891 (37.006) Prec@5 67.969 (67.425) Epoch: [19][3780/5809] Time 0.828 (0.599) Data 0.768 (0.527) Loss 2.5896 (2.5844) Prec@1 37.109 (37.006) Prec@5 67.969 (67.429) Epoch: [19][3790/5809] Time 0.388 (0.600) Data 0.328 (0.528) Loss 2.5178 (2.5842) Prec@1 36.328 (37.007) Prec@5 72.266 (67.434) Epoch: [19][3800/5809] Time 0.604 (0.601) Data 0.544 (0.529) Loss 2.6627 (2.5844) Prec@1 29.688 (37.000) Prec@5 62.500 (67.430) Epoch: [19][3810/5809] Time 1.296 (0.602) Data 1.233 (0.530) Loss 2.5266 (2.5845) Prec@1 37.891 (37.000) Prec@5 69.141 (67.429) Epoch: [19][3820/5809] Time 1.233 (0.603) Data 1.166 (0.531) Loss 2.6876 (2.5843) Prec@1 32.422 (37.006) Prec@5 65.234 (67.432) Epoch: [19][3830/5809] Time 1.823 (0.604) Data 1.760 (0.532) Loss 2.4806 (2.5843) Prec@1 39.453 (37.010) Prec@5 69.141 (67.433) Epoch: [19][3840/5809] Time 1.095 (0.605) Data 1.036 (0.532) Loss 2.5420 (2.5841) Prec@1 38.281 (37.013) Prec@5 65.625 (67.435) Epoch: [19][3850/5809] Time 1.986 (0.605) Data 1.908 (0.533) Loss 2.5617 (2.5841) Prec@1 36.719 (37.012) Prec@5 70.312 (67.433) Epoch: [19][3860/5809] Time 0.721 (0.606) Data 0.657 (0.534) Loss 2.6015 (2.5841) Prec@1 33.203 (37.007) Prec@5 70.312 (67.437) Epoch: [19][3870/5809] Time 1.993 (0.607) Data 1.929 (0.535) Loss 2.6812 (2.5842) Prec@1 34.766 (37.003) Prec@5 64.453 (67.435) Epoch: [19][3880/5809] Time 1.169 (0.608) Data 1.109 (0.536) Loss 2.5202 (2.5844) Prec@1 40.234 (36.999) Prec@5 69.141 (67.430) Epoch: [19][3890/5809] Time 2.528 (0.609) Data 2.465 (0.537) Loss 2.4090 (2.5843) Prec@1 37.891 (37.001) Prec@5 69.141 (67.429) Epoch: [19][3900/5809] Time 0.140 (0.609) Data 0.001 (0.537) Loss 2.5388 (2.5844) Prec@1 39.062 (36.997) Prec@5 69.922 (67.430) Epoch: [19][3910/5809] Time 2.074 (0.610) Data 2.014 (0.538) Loss 2.5038 (2.5843) Prec@1 39.453 (36.999) Prec@5 70.312 (67.430) Epoch: [19][3920/5809] Time 0.926 (0.611) Data 0.866 (0.539) Loss 2.8042 (2.5844) Prec@1 32.422 (36.997) Prec@5 60.156 (67.427) Epoch: [19][3930/5809] Time 1.667 (0.612) Data 1.604 (0.540) Loss 2.7700 (2.5844) Prec@1 32.812 (36.995) Prec@5 65.625 (67.428) Epoch: [19][3940/5809] Time 1.139 (0.612) Data 1.079 (0.540) Loss 2.4542 (2.5844) Prec@1 39.844 (36.995) Prec@5 67.578 (67.428) Epoch: [19][3950/5809] Time 1.088 (0.613) Data 1.025 (0.541) Loss 2.4478 (2.5842) Prec@1 42.188 (37.002) Prec@5 67.188 (67.432) Epoch: [19][3960/5809] Time 2.608 (0.614) Data 2.541 (0.542) Loss 2.5779 (2.5843) Prec@1 34.375 (36.999) Prec@5 66.797 (67.429) Epoch: [19][3970/5809] Time 1.260 (0.615) Data 1.195 (0.543) Loss 2.5759 (2.5844) Prec@1 36.719 (36.998) Prec@5 69.922 (67.424) Epoch: [19][3980/5809] Time 1.568 (0.615) Data 1.503 (0.544) Loss 2.5568 (2.5845) Prec@1 35.938 (36.995) Prec@5 67.188 (67.425) Epoch: [19][3990/5809] Time 0.537 (0.616) Data 0.476 (0.544) Loss 2.4347 (2.5842) Prec@1 38.281 (36.997) Prec@5 71.094 (67.429) Epoch: [19][4000/5809] Time 1.487 (0.617) Data 1.425 (0.545) Loss 2.7169 (2.5845) Prec@1 36.719 (36.993) Prec@5 66.016 (67.425) Epoch: [19][4010/5809] Time 0.136 (0.617) Data 0.004 (0.546) Loss 2.6191 (2.5846) Prec@1 35.938 (36.991) Prec@5 63.672 (67.421) Epoch: [19][4020/5809] Time 1.657 (0.619) Data 1.593 (0.547) Loss 2.6831 (2.5846) Prec@1 39.062 (36.987) Prec@5 64.062 (67.419) Epoch: [19][4030/5809] Time 0.931 (0.619) Data 0.867 (0.547) Loss 2.5756 (2.5846) Prec@1 37.500 (36.989) Prec@5 66.016 (67.421) Epoch: [19][4040/5809] Time 1.512 (0.620) Data 1.452 (0.548) Loss 2.4529 (2.5847) Prec@1 40.234 (36.987) Prec@5 70.703 (67.419) Epoch: [19][4050/5809] Time 0.568 (0.621) Data 0.504 (0.549) Loss 2.7263 (2.5848) Prec@1 37.109 (36.989) Prec@5 63.672 (67.417) Epoch: [19][4060/5809] Time 2.828 (0.622) Data 2.764 (0.550) Loss 2.6552 (2.5850) Prec@1 39.062 (36.987) Prec@5 61.328 (67.414) Epoch: [19][4070/5809] Time 0.344 (0.622) Data 0.282 (0.550) Loss 2.6107 (2.5850) Prec@1 36.719 (36.987) Prec@5 67.578 (67.413) Epoch: [19][4080/5809] Time 1.976 (0.623) Data 1.912 (0.551) Loss 2.5404 (2.5851) Prec@1 36.719 (36.985) Prec@5 69.922 (67.408) Epoch: [19][4090/5809] Time 0.464 (0.624) Data 0.397 (0.552) Loss 2.5618 (2.5852) Prec@1 39.062 (36.984) Prec@5 66.016 (67.408) Epoch: [19][4100/5809] Time 2.572 (0.625) Data 2.509 (0.553) Loss 2.5597 (2.5852) Prec@1 36.719 (36.981) Prec@5 66.797 (67.404) Epoch: [19][4110/5809] Time 0.140 (0.625) Data 0.001 (0.553) Loss 2.6935 (2.5855) Prec@1 36.719 (36.978) Prec@5 65.625 (67.400) Epoch: [19][4120/5809] Time 2.052 (0.626) Data 1.992 (0.554) Loss 2.5264 (2.5854) Prec@1 34.375 (36.979) Prec@5 70.312 (67.401) Epoch: [19][4130/5809] Time 0.145 (0.627) Data 0.078 (0.555) Loss 2.7715 (2.5853) Prec@1 34.766 (36.980) Prec@5 60.547 (67.404) Epoch: [19][4140/5809] Time 2.624 (0.628) Data 2.560 (0.556) Loss 2.7977 (2.5855) Prec@1 32.422 (36.976) Prec@5 63.281 (67.401) Epoch: [19][4150/5809] Time 0.339 (0.628) Data 0.279 (0.556) Loss 2.4289 (2.5856) Prec@1 39.844 (36.972) Prec@5 71.484 (67.398) Epoch: [19][4160/5809] Time 1.926 (0.629) Data 1.867 (0.557) Loss 2.7312 (2.5858) Prec@1 34.766 (36.968) Prec@5 61.719 (67.393) Epoch: [19][4170/5809] Time 0.647 (0.630) Data 0.580 (0.558) Loss 2.7641 (2.5860) Prec@1 34.766 (36.966) Prec@5 65.625 (67.389) Epoch: [19][4180/5809] Time 1.979 (0.630) Data 1.916 (0.559) Loss 2.5347 (2.5860) Prec@1 37.109 (36.965) Prec@5 70.312 (67.390) Epoch: [19][4190/5809] Time 0.450 (0.631) Data 0.390 (0.559) Loss 2.5791 (2.5860) Prec@1 37.891 (36.964) Prec@5 65.234 (67.388) Epoch: [19][4200/5809] Time 1.490 (0.632) Data 1.426 (0.560) Loss 2.5903 (2.5860) Prec@1 35.938 (36.963) Prec@5 67.578 (67.388) Epoch: [19][4210/5809] Time 0.123 (0.632) Data 0.061 (0.560) Loss 2.6618 (2.5860) Prec@1 38.281 (36.964) Prec@5 62.500 (67.389) Epoch: [19][4220/5809] Time 1.504 (0.633) Data 1.440 (0.561) Loss 2.6984 (2.5861) Prec@1 38.281 (36.962) Prec@5 67.188 (67.387) Epoch: [19][4230/5809] Time 0.404 (0.633) Data 0.336 (0.562) Loss 2.4209 (2.5861) Prec@1 40.625 (36.959) Prec@5 69.922 (67.386) Epoch: [19][4240/5809] Time 0.454 (0.634) Data 0.391 (0.563) Loss 2.5761 (2.5862) Prec@1 37.891 (36.959) Prec@5 66.406 (67.386) Epoch: [19][4250/5809] Time 0.226 (0.635) Data 0.163 (0.563) Loss 2.5617 (2.5862) Prec@1 36.328 (36.959) Prec@5 69.141 (67.387) Epoch: [19][4260/5809] Time 0.384 (0.636) Data 0.324 (0.564) Loss 2.3965 (2.5862) Prec@1 39.844 (36.959) Prec@5 67.969 (67.386) Epoch: [19][4270/5809] Time 0.132 (0.636) Data 0.001 (0.565) Loss 2.6638 (2.5860) Prec@1 33.203 (36.963) Prec@5 63.672 (67.388) Epoch: [19][4280/5809] Time 0.205 (0.637) Data 0.144 (0.565) Loss 2.6046 (2.5859) Prec@1 35.547 (36.962) Prec@5 67.578 (67.387) Epoch: [19][4290/5809] Time 1.169 (0.638) Data 1.105 (0.566) Loss 2.5850 (2.5859) Prec@1 37.891 (36.962) Prec@5 66.406 (67.387) Epoch: [19][4300/5809] Time 0.481 (0.638) Data 0.416 (0.566) Loss 2.5245 (2.5859) Prec@1 36.328 (36.961) Prec@5 70.703 (67.387) Epoch: [19][4310/5809] Time 0.360 (0.639) Data 0.297 (0.567) Loss 2.5586 (2.5860) Prec@1 39.844 (36.960) Prec@5 66.797 (67.385) Epoch: [19][4320/5809] Time 0.848 (0.639) Data 0.785 (0.568) Loss 2.5566 (2.5860) Prec@1 39.844 (36.961) Prec@5 67.578 (67.384) Epoch: [19][4330/5809] Time 0.209 (0.640) Data 0.145 (0.568) Loss 2.4954 (2.5861) Prec@1 39.453 (36.957) Prec@5 68.750 (67.384) Epoch: [19][4340/5809] Time 0.536 (0.641) Data 0.468 (0.569) Loss 2.7047 (2.5862) Prec@1 37.891 (36.957) Prec@5 65.625 (67.383) Epoch: [19][4350/5809] Time 0.137 (0.641) Data 0.001 (0.570) Loss 2.7083 (2.5865) Prec@1 37.109 (36.954) Prec@5 64.844 (67.380) Epoch: [19][4360/5809] Time 0.941 (0.642) Data 0.880 (0.570) Loss 2.5423 (2.5864) Prec@1 39.453 (36.954) Prec@5 68.359 (67.381) Epoch: [19][4370/5809] Time 0.752 (0.642) Data 0.692 (0.571) Loss 2.4290 (2.5863) Prec@1 38.672 (36.957) Prec@5 70.312 (67.385) Epoch: [19][4380/5809] Time 1.077 (0.643) Data 1.009 (0.572) Loss 2.6354 (2.5863) Prec@1 34.766 (36.957) Prec@5 63.672 (67.383) Epoch: [19][4390/5809] Time 0.196 (0.644) Data 0.133 (0.572) Loss 2.4362 (2.5863) Prec@1 37.500 (36.955) Prec@5 71.484 (67.382) Epoch: [19][4400/5809] Time 2.006 (0.645) Data 1.947 (0.573) Loss 2.4147 (2.5862) Prec@1 38.281 (36.958) Prec@5 71.484 (67.384) Epoch: [19][4410/5809] Time 0.133 (0.645) Data 0.001 (0.573) Loss 2.5020 (2.5862) Prec@1 41.406 (36.960) Prec@5 69.141 (67.382) Epoch: [19][4420/5809] Time 1.980 (0.646) Data 1.917 (0.574) Loss 2.4742 (2.5862) Prec@1 36.328 (36.962) Prec@5 70.703 (67.384) Epoch: [19][4430/5809] Time 1.810 (0.647) Data 1.750 (0.575) Loss 2.5594 (2.5861) Prec@1 37.109 (36.963) Prec@5 64.844 (67.386) Epoch: [19][4440/5809] Time 1.432 (0.647) Data 1.372 (0.576) Loss 2.7015 (2.5862) Prec@1 34.766 (36.961) Prec@5 65.625 (67.385) Epoch: [19][4450/5809] Time 1.005 (0.648) Data 0.944 (0.576) Loss 2.4399 (2.5863) Prec@1 40.625 (36.959) Prec@5 66.016 (67.383) Epoch: [19][4460/5809] Time 0.341 (0.648) Data 0.277 (0.577) Loss 2.7656 (2.5863) Prec@1 33.203 (36.962) Prec@5 65.234 (67.387) Epoch: [19][4470/5809] Time 0.314 (0.649) Data 0.254 (0.577) Loss 2.6739 (2.5864) Prec@1 32.422 (36.957) Prec@5 63.281 (67.385) Epoch: [19][4480/5809] Time 0.648 (0.650) Data 0.588 (0.578) Loss 2.5213 (2.5864) Prec@1 35.156 (36.957) Prec@5 66.406 (67.385) Epoch: [19][4490/5809] Time 1.076 (0.650) Data 1.016 (0.579) Loss 2.8607 (2.5866) Prec@1 34.766 (36.957) Prec@5 60.156 (67.380) Epoch: [19][4500/5809] Time 0.536 (0.651) Data 0.476 (0.579) Loss 2.3304 (2.5865) Prec@1 42.188 (36.959) Prec@5 73.047 (67.383) Epoch: [19][4510/5809] Time 0.495 (0.651) Data 0.432 (0.580) Loss 2.5004 (2.5864) Prec@1 38.281 (36.960) Prec@5 69.531 (67.383) Epoch: [19][4520/5809] Time 0.203 (0.652) Data 0.136 (0.580) Loss 2.6684 (2.5864) Prec@1 35.547 (36.961) Prec@5 67.578 (67.384) Epoch: [19][4530/5809] Time 0.199 (0.652) Data 0.139 (0.581) Loss 2.6219 (2.5865) Prec@1 34.766 (36.958) Prec@5 65.234 (67.381) Epoch: [19][4540/5809] Time 1.243 (0.653) Data 1.183 (0.581) Loss 2.8989 (2.5867) Prec@1 32.422 (36.956) Prec@5 57.422 (67.377) Epoch: [19][4550/5809] Time 1.328 (0.654) Data 1.265 (0.582) Loss 2.5422 (2.5866) Prec@1 36.328 (36.956) Prec@5 71.094 (67.376) Epoch: [19][4560/5809] Time 0.893 (0.654) Data 0.829 (0.583) Loss 2.5800 (2.5866) Prec@1 38.672 (36.958) Prec@5 64.453 (67.376) Epoch: [19][4570/5809] Time 1.696 (0.655) Data 1.636 (0.583) Loss 2.5167 (2.5866) Prec@1 32.422 (36.959) Prec@5 68.359 (67.377) Epoch: [19][4580/5809] Time 1.424 (0.655) Data 1.358 (0.584) Loss 2.5171 (2.5866) Prec@1 39.844 (36.961) Prec@5 68.750 (67.376) Epoch: [19][4590/5809] Time 2.096 (0.656) Data 2.029 (0.585) Loss 2.5467 (2.5866) Prec@1 40.234 (36.961) Prec@5 67.188 (67.374) Epoch: [19][4600/5809] Time 1.067 (0.657) Data 1.002 (0.585) Loss 2.5084 (2.5866) Prec@1 37.109 (36.960) Prec@5 67.969 (67.372) Epoch: [19][4610/5809] Time 2.256 (0.657) Data 2.195 (0.586) Loss 2.6857 (2.5867) Prec@1 34.766 (36.957) Prec@5 67.188 (67.371) Epoch: [19][4620/5809] Time 0.664 (0.658) Data 0.604 (0.586) Loss 2.3812 (2.5866) Prec@1 44.922 (36.959) Prec@5 67.188 (67.371) Epoch: [19][4630/5809] Time 2.052 (0.658) Data 1.984 (0.587) Loss 2.4078 (2.5866) Prec@1 36.328 (36.957) Prec@5 70.703 (67.373) Epoch: [19][4640/5809] Time 0.579 (0.659) Data 0.516 (0.587) Loss 2.5284 (2.5866) Prec@1 37.109 (36.955) Prec@5 68.359 (67.376) Epoch: [19][4650/5809] Time 2.192 (0.660) Data 2.127 (0.588) Loss 2.5062 (2.5866) Prec@1 35.938 (36.956) Prec@5 67.188 (67.375) Epoch: [19][4660/5809] Time 0.140 (0.660) Data 0.001 (0.588) Loss 2.7036 (2.5866) Prec@1 34.766 (36.957) Prec@5 66.797 (67.375) Epoch: [19][4670/5809] Time 1.290 (0.661) Data 1.230 (0.589) Loss 2.6194 (2.5867) Prec@1 37.500 (36.955) Prec@5 67.188 (67.373) Epoch: [19][4680/5809] Time 1.389 (0.661) Data 1.328 (0.590) Loss 2.5819 (2.5867) Prec@1 39.453 (36.955) Prec@5 66.797 (67.372) Epoch: [19][4690/5809] Time 1.072 (0.662) Data 1.008 (0.590) Loss 2.4205 (2.5867) Prec@1 39.062 (36.956) Prec@5 70.312 (67.376) Epoch: [19][4700/5809] Time 1.764 (0.662) Data 1.704 (0.591) Loss 2.4897 (2.5866) Prec@1 40.625 (36.959) Prec@5 70.703 (67.378) Epoch: [19][4710/5809] Time 1.100 (0.663) Data 1.040 (0.591) Loss 2.6830 (2.5866) Prec@1 33.984 (36.959) Prec@5 64.062 (67.379) Epoch: [19][4720/5809] Time 0.934 (0.663) Data 0.874 (0.592) Loss 2.7840 (2.5868) Prec@1 31.641 (36.956) Prec@5 64.844 (67.377) Epoch: [19][4730/5809] Time 0.313 (0.664) Data 0.253 (0.592) Loss 2.6400 (2.5868) Prec@1 36.719 (36.953) Prec@5 64.844 (67.377) Epoch: [19][4740/5809] Time 0.709 (0.664) Data 0.645 (0.593) Loss 2.5714 (2.5868) Prec@1 34.375 (36.953) Prec@5 66.797 (67.377) Epoch: [19][4750/5809] Time 0.737 (0.665) Data 0.673 (0.594) Loss 2.6780 (2.5868) Prec@1 33.984 (36.955) Prec@5 62.109 (67.378) Epoch: [19][4760/5809] Time 0.917 (0.665) Data 0.849 (0.594) Loss 2.7645 (2.5868) Prec@1 32.812 (36.955) Prec@5 64.453 (67.379) Epoch: [19][4770/5809] Time 0.606 (0.666) Data 0.546 (0.595) Loss 2.7920 (2.5869) Prec@1 35.938 (36.954) Prec@5 64.062 (67.375) Epoch: [19][4780/5809] Time 1.232 (0.667) Data 1.172 (0.595) Loss 2.7293 (2.5870) Prec@1 33.203 (36.953) Prec@5 65.234 (67.376) Epoch: [19][4790/5809] Time 0.708 (0.667) Data 0.644 (0.596) Loss 2.6107 (2.5871) Prec@1 36.719 (36.952) Prec@5 67.969 (67.374) Epoch: [19][4800/5809] Time 0.732 (0.668) Data 0.672 (0.596) Loss 2.5978 (2.5873) Prec@1 36.719 (36.947) Prec@5 66.016 (67.370) Epoch: [19][4810/5809] Time 0.137 (0.668) Data 0.001 (0.597) Loss 2.5746 (2.5874) Prec@1 38.281 (36.940) Prec@5 67.578 (67.367) Epoch: [19][4820/5809] Time 0.134 (0.669) Data 0.073 (0.598) Loss 2.7736 (2.5876) Prec@1 32.812 (36.936) Prec@5 64.453 (67.364) Epoch: [19][4830/5809] Time 0.493 (0.669) Data 0.432 (0.598) Loss 2.5841 (2.5877) Prec@1 32.812 (36.932) Prec@5 68.750 (67.364) Epoch: [19][4840/5809] Time 0.551 (0.670) Data 0.488 (0.599) Loss 2.5750 (2.5877) Prec@1 39.453 (36.933) Prec@5 64.453 (67.362) Epoch: [19][4850/5809] Time 1.620 (0.671) Data 1.553 (0.599) Loss 2.5665 (2.5878) Prec@1 37.109 (36.933) Prec@5 67.188 (67.361) Epoch: [19][4860/5809] Time 0.420 (0.671) Data 0.357 (0.600) Loss 2.6364 (2.5877) Prec@1 37.109 (36.933) Prec@5 66.016 (67.363)