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Created March 15, 2017 18:20
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vgg13.stdout.txt
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=> creating model 'vgg13'
Epoch: [0][0/5005] Time 26.690 (26.690) Data 2.100 (2.100) Loss 6.9093 (6.9093) Prec@1 0.000 (0.000) Prec@5 0.781 (0.781)
Epoch: [0][10/5005] Time 0.460 (2.827) Data 0.000 (0.191) Loss 6.9168 (6.9125) Prec@1 0.000 (0.071) Prec@5 0.391 (0.426)
Epoch: [0][20/5005] Time 0.457 (1.698) Data 0.000 (0.100) Loss 6.9116 (6.9104) Prec@1 0.000 (0.112) Prec@5 0.391 (0.428)
Epoch: [0][30/5005] Time 0.457 (1.298) Data 0.000 (0.068) Loss 6.9090 (6.9097) Prec@1 0.000 (0.076) Prec@5 0.391 (0.428)
Epoch: [0][40/5005] Time 0.453 (1.093) Data 0.000 (0.052) Loss 6.9074 (6.9097) Prec@1 0.000 (0.124) Prec@5 0.391 (0.467)
Epoch: [0][50/5005] Time 0.452 (0.968) Data 0.000 (0.042) Loss 6.9094 (6.9094) Prec@1 0.000 (0.107) Prec@5 0.000 (0.475)
Epoch: [0][60/5005] Time 0.453 (0.884) Data 0.000 (0.035) Loss 6.9074 (6.9094) Prec@1 0.391 (0.109) Prec@5 1.562 (0.455)
Epoch: [0][70/5005] Time 0.460 (0.824) Data 0.000 (0.030) Loss 6.9094 (6.9092) Prec@1 0.000 (0.105) Prec@5 0.391 (0.484)
Epoch: [0][80/5005] Time 0.458 (0.779) Data 0.000 (0.026) Loss 6.9032 (6.9090) Prec@1 0.000 (0.106) Prec@5 1.172 (0.473)
Epoch: [0][90/5005] Time 0.462 (0.744) Data 0.000 (0.023) Loss 6.9050 (6.9087) Prec@1 0.000 (0.103) Prec@5 0.781 (0.481)
Epoch: [0][100/5005] Time 0.462 (0.715) Data 0.000 (0.021) Loss 6.9075 (6.9086) Prec@1 0.391 (0.120) Prec@5 0.391 (0.487)
Epoch: [0][110/5005] Time 0.455 (0.692) Data 0.000 (0.019) Loss 6.9029 (6.9084) Prec@1 0.391 (0.123) Prec@5 0.781 (0.489)
Epoch: [0][120/5005] Time 0.451 (0.673) Data 0.000 (0.018) Loss 6.9095 (6.9084) Prec@1 0.000 (0.113) Prec@5 0.000 (0.484)
Epoch: [0][130/5005] Time 0.455 (0.656) Data 0.000 (0.016) Loss 6.9083 (6.9083) Prec@1 0.000 (0.119) Prec@5 0.000 (0.498)
Epoch: [0][140/5005] Time 0.461 (0.642) Data 0.000 (0.015) Loss 6.9066 (6.9082) Prec@1 0.391 (0.119) Prec@5 0.391 (0.499)
Epoch: [0][150/5005] Time 0.456 (0.630) Data 0.000 (0.014) Loss 6.9085 (6.9081) Prec@1 0.000 (0.127) Prec@5 0.391 (0.523)
Epoch: [0][160/5005] Time 0.458 (0.619) Data 0.000 (0.013) Loss 6.9048 (6.9080) Prec@1 0.000 (0.126) Prec@5 0.391 (0.507)
Epoch: [0][170/5005] Time 0.465 (0.610) Data 0.000 (0.013) Loss 6.9071 (6.9079) Prec@1 0.000 (0.132) Prec@5 0.391 (0.507)
Epoch: [0][180/5005] Time 0.460 (0.602) Data 0.000 (0.012) Loss 6.9065 (6.9079) Prec@1 0.000 (0.132) Prec@5 0.000 (0.505)
Epoch: [0][190/5005] Time 0.459 (0.594) Data 0.000 (0.011) Loss 6.9038 (6.9078) Prec@1 0.000 (0.133) Prec@5 0.781 (0.515)
Epoch: [0][200/5005] Time 0.459 (0.588) Data 0.000 (0.011) Loss 6.9131 (6.9078) Prec@1 0.000 (0.128) Prec@5 0.391 (0.501)
Epoch: [0][210/5005] Time 0.464 (0.582) Data 0.000 (0.010) Loss 6.9132 (6.9078) Prec@1 0.000 (0.130) Prec@5 0.000 (0.502)
Epoch: [0][220/5005] Time 0.458 (0.576) Data 0.000 (0.010) Loss 6.9070 (6.9078) Prec@1 0.000 (0.127) Prec@5 0.781 (0.497)
Epoch: [0][230/5005] Time 0.460 (0.571) Data 0.000 (0.010) Loss 6.9055 (6.9078) Prec@1 0.000 (0.123) Prec@5 0.391 (0.495)
Epoch: [0][240/5005] Time 0.463 (0.566) Data 0.000 (0.009) Loss 6.9041 (6.9077) Prec@1 0.000 (0.125) Prec@5 0.000 (0.496)
Epoch: [0][250/5005] Time 0.462 (0.562) Data 0.000 (0.009) Loss 6.9008 (6.9076) Prec@1 0.000 (0.125) Prec@5 0.000 (0.495)
Epoch: [0][260/5005] Time 0.460 (0.558) Data 0.000 (0.008) Loss 6.9080 (6.9075) Prec@1 0.391 (0.123) Prec@5 0.781 (0.495)
Epoch: [0][270/5005] Time 0.457 (0.554) Data 0.001 (0.008) Loss 6.9135 (6.9075) Prec@1 0.391 (0.127) Prec@5 0.391 (0.500)
Epoch: [0][280/5005] Time 0.458 (0.551) Data 0.000 (0.008) Loss 6.9037 (6.9074) Prec@1 0.391 (0.125) Prec@5 0.781 (0.514)
Epoch: [0][290/5005] Time 0.449 (0.548) Data 0.001 (0.008) Loss 6.9087 (6.9074) Prec@1 0.000 (0.122) Prec@5 0.391 (0.513)
Epoch: [0][300/5005] Time 0.454 (0.545) Data 0.000 (0.007) Loss 6.9043 (6.9072) Prec@1 0.000 (0.123) Prec@5 0.391 (0.519)
Epoch: [0][310/5005] Time 0.453 (0.542) Data 0.000 (0.007) Loss 6.9044 (6.9071) Prec@1 0.000 (0.126) Prec@5 0.391 (0.531)
Epoch: [0][320/5005] Time 0.461 (0.539) Data 0.000 (0.007) Loss 6.9064 (6.9071) Prec@1 0.000 (0.124) Prec@5 0.391 (0.528)
Epoch: [0][330/5005] Time 0.454 (0.537) Data 0.000 (0.007) Loss 6.9036 (6.9070) Prec@1 0.000 (0.122) Prec@5 1.172 (0.529)
Epoch: [0][340/5005] Time 0.460 (0.535) Data 0.000 (0.007) Loss 6.9038 (6.9069) Prec@1 0.000 (0.123) Prec@5 0.000 (0.527)
Epoch: [0][350/5005] Time 0.452 (0.532) Data 0.000 (0.006) Loss 6.8867 (6.9066) Prec@1 0.000 (0.120) Prec@5 1.172 (0.524)
Epoch: [0][360/5005] Time 0.457 (0.530) Data 0.000 (0.006) Loss 6.8815 (6.9063) Prec@1 0.000 (0.120) Prec@5 0.000 (0.523)
Epoch: [0][370/5005] Time 0.461 (0.528) Data 0.000 (0.006) Loss 6.8892 (6.9060) Prec@1 0.000 (0.124) Prec@5 0.000 (0.523)
Epoch: [0][380/5005] Time 0.453 (0.526) Data 0.000 (0.006) Loss 6.8801 (6.9057) Prec@1 0.391 (0.123) Prec@5 0.781 (0.523)
Epoch: [0][390/5005] Time 0.463 (0.525) Data 0.000 (0.006) Loss 6.8967 (6.9052) Prec@1 0.000 (0.124) Prec@5 0.781 (0.527)
Epoch: [0][400/5005] Time 0.456 (0.523) Data 0.000 (0.006) Loss 6.8793 (6.9049) Prec@1 0.781 (0.125) Prec@5 1.172 (0.525)
Epoch: [0][410/5005] Time 0.459 (0.522) Data 0.000 (0.006) Loss 6.8725 (6.9042) Prec@1 0.000 (0.123) Prec@5 0.781 (0.525)
Epoch: [0][420/5005] Time 0.451 (0.520) Data 0.000 (0.005) Loss 6.8798 (6.9039) Prec@1 0.000 (0.121) Prec@5 0.391 (0.525)
Epoch: [0][430/5005] Time 0.457 (0.519) Data 0.000 (0.005) Loss 6.8301 (6.9033) Prec@1 0.781 (0.125) Prec@5 2.344 (0.533)
Epoch: [0][440/5005] Time 0.461 (0.517) Data 0.000 (0.005) Loss 6.8883 (6.9026) Prec@1 0.000 (0.126) Prec@5 0.781 (0.535)
Epoch: [0][450/5005] Time 0.454 (0.516) Data 0.000 (0.005) Loss 6.8742 (6.9021) Prec@1 0.000 (0.124) Prec@5 0.781 (0.533)
Epoch: [0][460/5005] Time 0.457 (0.515) Data 0.000 (0.005) Loss 6.8608 (6.9014) Prec@1 0.000 (0.123) Prec@5 0.781 (0.535)
Epoch: [0][470/5005] Time 0.462 (0.514) Data 0.000 (0.005) Loss 6.8831 (6.9007) Prec@1 1.172 (0.125) Prec@5 1.172 (0.534)
Epoch: [0][480/5005] Time 0.459 (0.512) Data 0.000 (0.005) Loss 6.8372 (6.9000) Prec@1 0.000 (0.125) Prec@5 0.391 (0.530)
Epoch: [0][490/5005] Time 0.462 (0.511) Data 0.000 (0.005) Loss 6.8372 (6.8995) Prec@1 0.000 (0.123) Prec@5 0.781 (0.529)
Epoch: [0][500/5005] Time 0.456 (0.510) Data 0.000 (0.005) Loss 6.8608 (6.8987) Prec@1 0.000 (0.121) Prec@5 0.781 (0.528)
Epoch: [0][510/5005] Time 0.465 (0.509) Data 0.000 (0.005) Loss 6.8110 (6.8976) Prec@1 0.000 (0.121) Prec@5 1.953 (0.534)
Epoch: [0][520/5005] Time 0.464 (0.508) Data 0.000 (0.004) Loss 6.8431 (6.8969) Prec@1 0.000 (0.118) Prec@5 1.172 (0.539)
Epoch: [0][530/5005] Time 0.453 (0.507) Data 0.000 (0.004) Loss 6.8183 (6.8960) Prec@1 0.000 (0.118) Prec@5 0.781 (0.548)
Epoch: [0][540/5005] Time 0.457 (0.506) Data 0.000 (0.004) Loss 6.8578 (6.8953) Prec@1 0.000 (0.120) Prec@5 0.781 (0.552)
Epoch: [0][550/5005] Time 0.459 (0.506) Data 0.000 (0.004) Loss 6.8772 (6.8944) Prec@1 0.000 (0.119) Prec@5 0.391 (0.555)
Epoch: [0][560/5005] Time 0.454 (0.505) Data 0.000 (0.004) Loss 6.8561 (6.8938) Prec@1 0.000 (0.121) Prec@5 1.562 (0.563)
Epoch: [0][570/5005] Time 0.458 (0.504) Data 0.000 (0.004) Loss 6.8300 (6.8932) Prec@1 0.000 (0.124) Prec@5 1.172 (0.569)
Epoch: [0][580/5005] Time 0.454 (0.503) Data 0.000 (0.004) Loss 6.8659 (6.8926) Prec@1 0.391 (0.124) Prec@5 0.781 (0.567)
Epoch: [0][590/5005] Time 0.457 (0.502) Data 0.000 (0.004) Loss 6.8684 (6.8921) Prec@1 0.000 (0.126) Prec@5 0.391 (0.572)
Epoch: [0][600/5005] Time 0.461 (0.501) Data 0.000 (0.004) Loss 6.8596 (6.8915) Prec@1 0.391 (0.126) Prec@5 2.734 (0.577)
Epoch: [0][610/5005] Time 0.465 (0.501) Data 0.001 (0.004) Loss 6.8694 (6.8911) Prec@1 0.000 (0.125) Prec@5 0.000 (0.576)
Epoch: [0][620/5005] Time 0.457 (0.500) Data 0.000 (0.004) Loss 6.8462 (6.8906) Prec@1 0.391 (0.124) Prec@5 0.781 (0.577)
Epoch: [0][630/5005] Time 0.461 (0.499) Data 0.000 (0.004) Loss 6.8202 (6.8896) Prec@1 0.391 (0.125) Prec@5 1.562 (0.584)
Epoch: [0][640/5005] Time 0.466 (0.499) Data 0.000 (0.004) Loss 6.8457 (6.8891) Prec@1 0.781 (0.126) Prec@5 1.172 (0.587)
Epoch: [0][650/5005] Time 0.455 (0.498) Data 0.000 (0.004) Loss 6.8674 (6.8885) Prec@1 0.000 (0.125) Prec@5 0.391 (0.590)
Epoch: [0][660/5005] Time 0.463 (0.498) Data 0.000 (0.004) Loss 6.8537 (6.8879) Prec@1 0.000 (0.124) Prec@5 0.391 (0.587)
Epoch: [0][670/5005] Time 0.459 (0.497) Data 0.000 (0.004) Loss 6.8501 (6.8874) Prec@1 0.000 (0.124) Prec@5 0.391 (0.589)
Epoch: [0][680/5005] Time 0.459 (0.496) Data 0.000 (0.003) Loss 6.8558 (6.8870) Prec@1 0.391 (0.126) Prec@5 1.172 (0.591)
Epoch: [0][690/5005] Time 0.453 (0.496) Data 0.000 (0.003) Loss 6.8447 (6.8865) Prec@1 0.000 (0.125) Prec@5 1.172 (0.594)
Epoch: [0][700/5005] Time 0.450 (0.495) Data 0.000 (0.003) Loss 6.8230 (6.8859) Prec@1 0.000 (0.125) Prec@5 1.172 (0.592)
Epoch: [0][710/5005] Time 0.453 (0.495) Data 0.000 (0.003) Loss 6.8490 (6.8852) Prec@1 0.000 (0.125) Prec@5 1.172 (0.596)
Epoch: [0][720/5005] Time 0.455 (0.494) Data 0.000 (0.003) Loss 6.8510 (6.8847) Prec@1 0.000 (0.125) Prec@5 1.172 (0.600)
Epoch: [0][730/5005] Time 0.463 (0.494) Data 0.000 (0.003) Loss 6.8410 (6.8841) Prec@1 0.000 (0.125) Prec@5 0.781 (0.602)
Epoch: [0][740/5005] Time 0.459 (0.493) Data 0.000 (0.003) Loss 6.8071 (6.8835) Prec@1 0.391 (0.125) Prec@5 1.953 (0.607)
Epoch: [0][750/5005] Time 0.460 (0.493) Data 0.000 (0.003) Loss 6.8626 (6.8830) Prec@1 0.000 (0.126) Prec@5 0.000 (0.610)
Epoch: [0][760/5005] Time 0.457 (0.492) Data 0.000 (0.003) Loss 6.8226 (6.8825) Prec@1 0.000 (0.127) Prec@5 1.172 (0.615)
Epoch: [0][770/5005] Time 0.462 (0.492) Data 0.000 (0.003) Loss 6.8633 (6.8819) Prec@1 0.000 (0.129) Prec@5 0.781 (0.616)
Epoch: [0][780/5005] Time 0.460 (0.491) Data 0.000 (0.003) Loss 6.8781 (6.8815) Prec@1 0.000 (0.129) Prec@5 0.000 (0.616)
Epoch: [0][790/5005] Time 0.460 (0.491) Data 0.000 (0.003) Loss 6.8303 (6.8809) Prec@1 0.000 (0.131) Prec@5 0.781 (0.620)
Epoch: [0][800/5005] Time 0.454 (0.491) Data 0.000 (0.003) Loss 6.8339 (6.8804) Prec@1 0.000 (0.132) Prec@5 0.391 (0.622)
Epoch: [0][810/5005] Time 0.457 (0.490) Data 0.000 (0.003) Loss 6.8318 (6.8798) Prec@1 0.000 (0.132) Prec@5 0.781 (0.626)
Epoch: [0][820/5005] Time 0.456 (0.490) Data 0.000 (0.003) Loss 6.8437 (6.8795) Prec@1 0.391 (0.133) Prec@5 1.953 (0.632)
Epoch: [0][830/5005] Time 0.461 (0.489) Data 0.000 (0.003) Loss 6.8158 (6.8789) Prec@1 0.391 (0.133) Prec@5 1.172 (0.635)
Epoch: [0][840/5005] Time 0.457 (0.489) Data 0.000 (0.003) Loss 6.8916 (6.8785) Prec@1 0.000 (0.134) Prec@5 0.000 (0.636)
Epoch: [0][850/5005] Time 0.462 (0.489) Data 0.000 (0.003) Loss 6.8636 (6.8781) Prec@1 0.000 (0.135) Prec@5 0.000 (0.639)
Epoch: [0][860/5005] Time 0.454 (0.488) Data 0.000 (0.003) Loss 6.8610 (6.8777) Prec@1 0.000 (0.134) Prec@5 1.172 (0.639)
Epoch: [0][870/5005] Time 0.458 (0.488) Data 0.001 (0.003) Loss 6.8423 (6.8773) Prec@1 0.000 (0.134) Prec@5 0.781 (0.642)
Epoch: [0][880/5005] Time 0.460 (0.488) Data 0.000 (0.003) Loss 6.8250 (6.8769) Prec@1 0.000 (0.133) Prec@5 0.000 (0.641)
Epoch: [0][890/5005] Time 0.455 (0.487) Data 0.000 (0.003) Loss 6.8398 (6.8764) Prec@1 0.000 (0.134) Prec@5 0.391 (0.644)
Epoch: [0][900/5005] Time 0.457 (0.487) Data 0.000 (0.003) Loss 6.8067 (6.8758) Prec@1 0.391 (0.136) Prec@5 0.781 (0.651)
Epoch: [0][910/5005] Time 0.462 (0.487) Data 0.000 (0.003) Loss 6.8780 (6.8755) Prec@1 0.000 (0.137) Prec@5 0.391 (0.655)
Epoch: [0][920/5005] Time 0.454 (0.486) Data 0.000 (0.003) Loss 6.8297 (6.8752) Prec@1 0.391 (0.138) Prec@5 1.172 (0.657)
Epoch: [0][930/5005] Time 0.456 (0.486) Data 0.000 (0.003) Loss 6.8394 (6.8747) Prec@1 0.000 (0.137) Prec@5 0.781 (0.657)
Epoch: [0][940/5005] Time 0.461 (0.486) Data 0.000 (0.003) Loss 6.8780 (6.8743) Prec@1 0.000 (0.139) Prec@5 0.781 (0.659)
Epoch: [0][950/5005] Time 0.455 (0.486) Data 0.000 (0.003) Loss 6.8456 (6.8739) Prec@1 0.000 (0.139) Prec@5 0.781 (0.662)
Epoch: [0][960/5005] Time 0.455 (0.485) Data 0.000 (0.003) Loss 6.8424 (6.8735) Prec@1 0.000 (0.139) Prec@5 0.391 (0.662)
Epoch: [0][970/5005] Time 0.460 (0.485) Data 0.000 (0.003) Loss 6.8382 (6.8731) Prec@1 0.000 (0.140) Prec@5 0.781 (0.668)
Epoch: [0][980/5005] Time 0.458 (0.485) Data 0.000 (0.003) Loss 6.8703 (6.8728) Prec@1 0.000 (0.140) Prec@5 0.781 (0.670)
Epoch: [0][990/5005] Time 0.460 (0.484) Data 0.000 (0.003) Loss 6.8586 (6.8724) Prec@1 0.000 (0.140) Prec@5 1.562 (0.673)
Epoch: [0][1000/5005] Time 0.456 (0.484) Data 0.000 (0.003) Loss 6.8199 (6.8721) Prec@1 0.000 (0.140) Prec@5 0.391 (0.673)
Epoch: [0][1010/5005] Time 0.462 (0.484) Data 0.000 (0.002) Loss 6.8180 (6.8716) Prec@1 0.391 (0.140) Prec@5 1.172 (0.674)
Epoch: [0][1020/5005] Time 0.458 (0.484) Data 0.000 (0.002) Loss 6.8458 (6.8713) Prec@1 0.000 (0.139) Prec@5 1.953 (0.676)
Epoch: [0][1030/5005] Time 0.459 (0.483) Data 0.000 (0.002) Loss 6.8292 (6.8708) Prec@1 0.000 (0.139) Prec@5 0.781 (0.678)
Epoch: [0][1040/5005] Time 0.460 (0.483) Data 0.000 (0.002) Loss 6.8577 (6.8704) Prec@1 0.000 (0.139) Prec@5 1.953 (0.679)
Epoch: [0][1050/5005] Time 0.461 (0.483) Data 0.000 (0.002) Loss 6.8418 (6.8702) Prec@1 0.391 (0.140) Prec@5 1.172 (0.683)
Epoch: [0][1060/5005] Time 0.463 (0.483) Data 0.000 (0.002) Loss 6.8098 (6.8697) Prec@1 1.172 (0.143) Prec@5 2.344 (0.689)
Epoch: [0][1070/5005] Time 0.457 (0.482) Data 0.000 (0.002) Loss 6.8221 (6.8692) Prec@1 0.391 (0.144) Prec@5 0.391 (0.690)
Epoch: [0][1080/5005] Time 0.457 (0.482) Data 0.000 (0.002) Loss 6.8198 (6.8688) Prec@1 0.000 (0.145) Prec@5 1.562 (0.695)
Epoch: [0][1090/5005] Time 0.463 (0.482) Data 0.000 (0.002) Loss 6.8472 (6.8684) Prec@1 0.781 (0.146) Prec@5 1.172 (0.694)
Epoch: [0][1100/5005] Time 0.457 (0.482) Data 0.000 (0.002) Loss 6.8103 (6.8681) Prec@1 0.391 (0.147) Prec@5 1.172 (0.696)
Epoch: [0][1110/5005] Time 0.460 (0.482) Data 0.000 (0.002) Loss 6.8232 (6.8678) Prec@1 0.781 (0.147) Prec@5 2.734 (0.699)
Epoch: [0][1120/5005] Time 0.450 (0.481) Data 0.000 (0.002) Loss 6.9098 (6.8675) Prec@1 0.781 (0.146) Prec@5 1.172 (0.701)
Epoch: [0][1130/5005] Time 0.459 (0.481) Data 0.000 (0.002) Loss 6.8438 (6.8671) Prec@1 0.000 (0.149) Prec@5 1.562 (0.708)
Epoch: [0][1140/5005] Time 0.461 (0.481) Data 0.000 (0.002) Loss 6.8190 (6.8667) Prec@1 1.562 (0.151) Prec@5 1.953 (0.711)
Epoch: [0][1150/5005] Time 0.456 (0.481) Data 0.000 (0.002) Loss 6.8271 (6.8663) Prec@1 0.391 (0.150) Prec@5 1.172 (0.712)
Epoch: [0][1160/5005] Time 0.461 (0.481) Data 0.000 (0.002) Loss 6.8580 (6.8660) Prec@1 0.000 (0.151) Prec@5 0.781 (0.716)
Epoch: [0][1170/5005] Time 0.461 (0.480) Data 0.000 (0.002) Loss 6.8413 (6.8657) Prec@1 0.391 (0.153) Prec@5 3.125 (0.723)
Epoch: [0][1180/5005] Time 0.462 (0.480) Data 0.000 (0.002) Loss 6.8307 (6.8653) Prec@1 0.000 (0.152) Prec@5 0.000 (0.722)
Epoch: [0][1190/5005] Time 0.453 (0.480) Data 0.000 (0.002) Loss 6.8047 (6.8648) Prec@1 0.781 (0.153) Prec@5 1.562 (0.726)
Epoch: [0][1200/5005] Time 0.462 (0.480) Data 0.000 (0.002) Loss 6.8202 (6.8645) Prec@1 0.000 (0.154) Prec@5 0.391 (0.730)
Epoch: [0][1210/5005] Time 0.461 (0.480) Data 0.000 (0.002) Loss 6.8305 (6.8642) Prec@1 0.391 (0.155) Prec@5 1.172 (0.735)
Epoch: [0][1220/5005] Time 0.459 (0.480) Data 0.000 (0.002) Loss 6.8131 (6.8639) Prec@1 0.391 (0.155) Prec@5 1.172 (0.739)
Epoch: [0][1230/5005] Time 0.458 (0.479) Data 0.000 (0.002) Loss 6.8228 (6.8637) Prec@1 0.000 (0.156) Prec@5 3.125 (0.743)
Epoch: [0][1240/5005] Time 0.450 (0.479) Data 0.000 (0.002) Loss 6.8318 (6.8633) Prec@1 0.000 (0.157) Prec@5 0.781 (0.746)
Epoch: [0][1250/5005] Time 0.459 (0.479) Data 0.000 (0.002) Loss 6.8881 (6.8631) Prec@1 0.781 (0.159) Prec@5 1.172 (0.747)
Epoch: [0][1260/5005] Time 0.457 (0.479) Data 0.000 (0.002) Loss 6.7947 (6.8628) Prec@1 0.000 (0.159) Prec@5 1.172 (0.749)
Epoch: [0][1270/5005] Time 0.456 (0.479) Data 0.000 (0.002) Loss 6.8274 (6.8624) Prec@1 0.000 (0.161) Prec@5 0.391 (0.753)
Epoch: [0][1280/5005] Time 0.447 (0.479) Data 0.000 (0.002) Loss 6.8324 (6.8620) Prec@1 0.391 (0.163) Prec@5 0.781 (0.757)
Epoch: [0][1290/5005] Time 0.462 (0.478) Data 0.000 (0.002) Loss 6.8272 (6.8616) Prec@1 0.391 (0.162) Prec@5 2.344 (0.759)
Epoch: [0][1300/5005] Time 0.463 (0.478) Data 0.000 (0.002) Loss 6.8104 (6.8613) Prec@1 0.391 (0.163) Prec@5 2.344 (0.763)
Epoch: [0][1310/5005] Time 0.462 (0.478) Data 0.000 (0.002) Loss 6.8236 (6.8610) Prec@1 0.781 (0.165) Prec@5 1.172 (0.766)
Epoch: [0][1320/5005] Time 0.459 (0.478) Data 0.000 (0.002) Loss 6.8260 (6.8606) Prec@1 0.391 (0.166) Prec@5 1.953 (0.773)
Epoch: [0][1330/5005] Time 0.460 (0.478) Data 0.000 (0.002) Loss 6.8452 (6.8603) Prec@1 0.391 (0.167) Prec@5 1.562 (0.775)
Epoch: [0][1340/5005] Time 0.451 (0.478) Data 0.000 (0.002) Loss 6.7715 (6.8599) Prec@1 0.781 (0.168) Prec@5 1.562 (0.781)
Epoch: [0][1350/5005] Time 0.464 (0.478) Data 0.000 (0.002) Loss 6.8072 (6.8596) Prec@1 0.391 (0.170) Prec@5 2.734 (0.786)
Epoch: [0][1360/5005] Time 0.463 (0.477) Data 0.000 (0.002) Loss 6.8267 (6.8593) Prec@1 0.000 (0.172) Prec@5 1.172 (0.789)
Epoch: [0][1370/5005] Time 0.455 (0.477) Data 0.000 (0.002) Loss 6.8365 (6.8589) Prec@1 0.391 (0.174) Prec@5 2.344 (0.795)
Epoch: [0][1380/5005] Time 0.456 (0.477) Data 0.000 (0.002) Loss 6.8344 (6.8586) Prec@1 0.000 (0.175) Prec@5 1.172 (0.800)
Epoch: [0][1390/5005] Time 0.456 (0.477) Data 0.000 (0.002) Loss 6.8178 (6.8583) Prec@1 0.391 (0.175) Prec@5 2.344 (0.804)
Epoch: [0][1400/5005] Time 0.459 (0.477) Data 0.000 (0.002) Loss 6.7810 (6.8578) Prec@1 0.000 (0.178) Prec@5 0.781 (0.810)
Epoch: [0][1410/5005] Time 0.455 (0.477) Data 0.000 (0.002) Loss 6.8166 (6.8575) Prec@1 0.000 (0.179) Prec@5 1.562 (0.816)
Epoch: [0][1420/5005] Time 0.459 (0.477) Data 0.000 (0.002) Loss 6.8119 (6.8571) Prec@1 0.000 (0.179) Prec@5 2.344 (0.821)
Epoch: [0][1430/5005] Time 0.453 (0.477) Data 0.000 (0.002) Loss 6.8019 (6.8566) Prec@1 0.000 (0.181) Prec@5 0.000 (0.825)
Epoch: [0][1440/5005] Time 0.462 (0.476) Data 0.000 (0.002) Loss 6.7842 (6.8561) Prec@1 0.781 (0.182) Prec@5 2.734 (0.828)
Epoch: [0][1450/5005] Time 0.456 (0.476) Data 0.000 (0.002) Loss 6.7794 (6.8558) Prec@1 1.172 (0.182) Prec@5 2.734 (0.831)
Epoch: [0][1460/5005] Time 0.458 (0.476) Data 0.000 (0.002) Loss 6.8239 (6.8555) Prec@1 0.781 (0.184) Prec@5 1.172 (0.836)
Epoch: [0][1470/5005] Time 0.459 (0.476) Data 0.000 (0.002) Loss 6.7764 (6.8552) Prec@1 0.000 (0.185) Prec@5 0.391 (0.839)
Epoch: [0][1480/5005] Time 0.454 (0.476) Data 0.000 (0.002) Loss 6.8420 (6.8550) Prec@1 0.000 (0.185) Prec@5 1.953 (0.843)
Epoch: [0][1490/5005] Time 0.462 (0.476) Data 0.000 (0.002) Loss 6.7729 (6.8546) Prec@1 0.781 (0.186) Prec@5 1.562 (0.846)
Epoch: [0][1500/5005] Time 0.461 (0.476) Data 0.000 (0.002) Loss 6.7626 (6.8543) Prec@1 0.781 (0.187) Prec@5 1.953 (0.850)
Epoch: [0][1510/5005] Time 0.457 (0.476) Data 0.000 (0.002) Loss 6.8268 (6.8538) Prec@1 0.000 (0.188) Prec@5 0.391 (0.854)
Epoch: [0][1520/5005] Time 0.455 (0.475) Data 0.000 (0.002) Loss 6.7780 (6.8534) Prec@1 0.000 (0.189) Prec@5 1.172 (0.860)
Epoch: [0][1530/5005] Time 0.455 (0.475) Data 0.000 (0.002) Loss 6.8567 (6.8530) Prec@1 0.391 (0.190) Prec@5 0.781 (0.865)
Epoch: [0][1540/5005] Time 0.460 (0.475) Data 0.000 (0.002) Loss 6.8114 (6.8526) Prec@1 0.391 (0.191) Prec@5 1.562 (0.869)
Epoch: [0][1550/5005] Time 0.463 (0.475) Data 0.000 (0.002) Loss 6.7877 (6.8522) Prec@1 0.000 (0.192) Prec@5 0.391 (0.873)
Epoch: [0][1560/5005] Time 0.462 (0.475) Data 0.000 (0.002) Loss 6.7647 (6.8518) Prec@1 0.391 (0.192) Prec@5 1.562 (0.877)
Epoch: [0][1570/5005] Time 0.463 (0.475) Data 0.000 (0.002) Loss 6.7858 (6.8514) Prec@1 0.000 (0.193) Prec@5 0.391 (0.882)
Epoch: [0][1580/5005] Time 0.463 (0.475) Data 0.000 (0.002) Loss 6.7517 (6.8509) Prec@1 0.391 (0.194) Prec@5 2.344 (0.887)
Epoch: [0][1590/5005] Time 0.463 (0.475) Data 0.000 (0.002) Loss 6.7637 (6.8505) Prec@1 0.000 (0.195) Prec@5 1.562 (0.890)
Epoch: [0][1600/5005] Time 0.458 (0.475) Data 0.000 (0.002) Loss 6.8218 (6.8502) Prec@1 0.000 (0.196) Prec@5 0.781 (0.896)
Epoch: [0][1610/5005] Time 0.456 (0.474) Data 0.000 (0.002) Loss 6.7333 (6.8499) Prec@1 1.172 (0.198) Prec@5 2.734 (0.899)
Epoch: [0][1620/5005] Time 0.462 (0.474) Data 0.000 (0.002) Loss 6.7716 (6.8494) Prec@1 0.000 (0.199) Prec@5 2.344 (0.904)
Epoch: [0][1630/5005] Time 0.460 (0.474) Data 0.000 (0.002) Loss 6.8368 (6.8490) Prec@1 0.000 (0.201) Prec@5 1.953 (0.909)
Epoch: [0][1640/5005] Time 0.453 (0.474) Data 0.000 (0.002) Loss 6.7822 (6.8487) Prec@1 0.000 (0.201) Prec@5 1.562 (0.912)
Epoch: [0][1650/5005] Time 0.458 (0.474) Data 0.000 (0.002) Loss 6.7434 (6.8483) Prec@1 0.391 (0.201) Prec@5 2.344 (0.915)
Epoch: [0][1660/5005] Time 0.456 (0.474) Data 0.000 (0.002) Loss 6.7837 (6.8480) Prec@1 0.000 (0.201) Prec@5 0.391 (0.917)
Epoch: [0][1670/5005] Time 0.458 (0.474) Data 0.000 (0.002) Loss 6.7655 (6.8475) Prec@1 0.781 (0.202) Prec@5 2.344 (0.920)
Epoch: [0][1680/5005] Time 0.459 (0.474) Data 0.000 (0.002) Loss 6.8013 (6.8472) Prec@1 0.391 (0.203) Prec@5 0.781 (0.924)
Epoch: [0][1690/5005] Time 0.467 (0.474) Data 0.000 (0.002) Loss 6.8217 (6.8467) Prec@1 0.391 (0.206) Prec@5 1.562 (0.927)
Epoch: [0][1700/5005] Time 0.456 (0.474) Data 0.000 (0.002) Loss 6.7764 (6.8463) Prec@1 0.391 (0.207) Prec@5 1.172 (0.932)
Epoch: [0][1710/5005] Time 0.460 (0.474) Data 0.000 (0.002) Loss 6.8127 (6.8459) Prec@1 1.172 (0.209) Prec@5 1.562 (0.939)
Epoch: [0][1720/5005] Time 0.455 (0.473) Data 0.000 (0.002) Loss 6.7666 (6.8455) Prec@1 0.000 (0.210) Prec@5 0.000 (0.940)
Epoch: [0][1730/5005] Time 0.457 (0.473) Data 0.000 (0.002) Loss 6.7603 (6.8450) Prec@1 0.391 (0.211) Prec@5 2.344 (0.945)
Epoch: [0][1740/5005] Time 0.463 (0.473) Data 0.000 (0.002) Loss 6.7666 (6.8446) Prec@1 0.000 (0.211) Prec@5 1.953 (0.946)
Epoch: [0][1750/5005] Time 0.460 (0.473) Data 0.000 (0.002) Loss 6.7526 (6.8442) Prec@1 0.781 (0.213) Prec@5 3.516 (0.952)
Epoch: [0][1760/5005] Time 0.458 (0.473) Data 0.000 (0.002) Loss 6.7404 (6.8437) Prec@1 0.781 (0.216) Prec@5 1.172 (0.958)
Epoch: [0][1770/5005] Time 0.461 (0.473) Data 0.000 (0.002) Loss 6.7997 (6.8433) Prec@1 0.391 (0.217) Prec@5 2.344 (0.962)
Epoch: [0][1780/5005] Time 0.453 (0.473) Data 0.000 (0.002) Loss 6.7415 (6.8429) Prec@1 0.781 (0.217) Prec@5 2.734 (0.966)
Epoch: [0][1790/5005] Time 0.461 (0.473) Data 0.000 (0.002) Loss 6.7689 (6.8424) Prec@1 1.172 (0.219) Prec@5 2.734 (0.970)
Epoch: [0][1800/5005] Time 0.460 (0.473) Data 0.000 (0.002) Loss 6.6524 (6.8420) Prec@1 0.391 (0.219) Prec@5 2.344 (0.976)
Epoch: [0][1810/5005] Time 0.461 (0.473) Data 0.000 (0.002) Loss 6.7433 (6.8415) Prec@1 0.781 (0.220) Prec@5 3.516 (0.981)
Epoch: [0][1820/5005] Time 0.458 (0.473) Data 0.000 (0.002) Loss 6.8115 (6.8411) Prec@1 0.781 (0.221) Prec@5 0.781 (0.982)
Epoch: [0][1830/5005] Time 0.460 (0.473) Data 0.000 (0.002) Loss 6.7038 (6.8406) Prec@1 0.391 (0.221) Prec@5 2.734 (0.987)
Epoch: [0][1840/5005] Time 0.462 (0.472) Data 0.000 (0.002) Loss 6.8034 (6.8402) Prec@1 0.000 (0.221) Prec@5 0.781 (0.989)
Epoch: [0][1850/5005] Time 0.456 (0.472) Data 0.000 (0.002) Loss 6.7212 (6.8397) Prec@1 1.172 (0.223) Prec@5 1.953 (0.992)
Epoch: [0][1860/5005] Time 0.453 (0.472) Data 0.000 (0.002) Loss 6.7663 (6.8392) Prec@1 0.000 (0.225) Prec@5 1.953 (0.996)
Epoch: [0][1870/5005] Time 0.458 (0.472) Data 0.000 (0.002) Loss 6.7484 (6.8388) Prec@1 0.391 (0.226) Prec@5 2.344 (1.002)
Epoch: [0][1880/5005] Time 0.452 (0.472) Data 0.000 (0.002) Loss 6.7896 (6.8384) Prec@1 0.391 (0.228) Prec@5 1.562 (1.008)
Epoch: [0][1890/5005] Time 0.460 (0.472) Data 0.000 (0.002) Loss 6.7549 (6.8379) Prec@1 1.172 (0.229) Prec@5 3.906 (1.013)
Epoch: [0][1900/5005] Time 0.456 (0.472) Data 0.000 (0.002) Loss 6.7432 (6.8373) Prec@1 0.391 (0.231) Prec@5 0.391 (1.019)
Epoch: [0][1910/5005] Time 0.460 (0.472) Data 0.000 (0.002) Loss 6.7194 (6.8368) Prec@1 1.172 (0.233) Prec@5 2.344 (1.025)
Epoch: [0][1920/5005] Time 0.447 (0.472) Data 0.000 (0.002) Loss 6.5798 (6.8363) Prec@1 0.781 (0.234) Prec@5 3.125 (1.028)
Epoch: [0][1930/5005] Time 0.460 (0.472) Data 0.000 (0.001) Loss 6.7759 (6.8358) Prec@1 0.391 (0.236) Prec@5 2.344 (1.032)
Epoch: [0][1940/5005] Time 0.459 (0.472) Data 0.000 (0.001) Loss 6.7198 (6.8352) Prec@1 0.391 (0.238) Prec@5 0.781 (1.037)
Epoch: [0][1950/5005] Time 0.459 (0.472) Data 0.000 (0.001) Loss 6.7105 (6.8346) Prec@1 0.781 (0.239) Prec@5 1.953 (1.041)
Epoch: [0][1960/5005] Time 0.457 (0.472) Data 0.000 (0.001) Loss 6.7392 (6.8340) Prec@1 0.391 (0.240) Prec@5 1.562 (1.047)
Epoch: [0][1970/5005] Time 0.458 (0.471) Data 0.000 (0.001) Loss 6.7221 (6.8335) Prec@1 1.172 (0.241) Prec@5 1.562 (1.050)
Epoch: [0][1980/5005] Time 0.459 (0.471) Data 0.000 (0.001) Loss 6.6751 (6.8329) Prec@1 0.781 (0.242) Prec@5 3.516 (1.054)
Epoch: [0][1990/5005] Time 0.461 (0.471) Data 0.000 (0.001) Loss 6.6650 (6.8323) Prec@1 0.000 (0.243) Prec@5 1.172 (1.059)
Epoch: [0][2000/5005] Time 0.460 (0.471) Data 0.000 (0.001) Loss 6.7125 (6.8316) Prec@1 1.172 (0.244) Prec@5 2.734 (1.067)
Epoch: [0][2010/5005] Time 0.456 (0.471) Data 0.000 (0.001) Loss 6.6351 (6.8308) Prec@1 0.781 (0.246) Prec@5 1.953 (1.072)
Epoch: [0][2020/5005] Time 0.452 (0.471) Data 0.000 (0.001) Loss 6.6797 (6.8302) Prec@1 0.391 (0.247) Prec@5 1.562 (1.077)
Epoch: [0][2030/5005] Time 0.457 (0.471) Data 0.000 (0.001) Loss 6.6062 (6.8294) Prec@1 0.000 (0.248) Prec@5 1.562 (1.081)
Epoch: [0][2040/5005] Time 0.460 (0.471) Data 0.000 (0.001) Loss 6.6758 (6.8288) Prec@1 0.391 (0.249) Prec@5 3.516 (1.086)
Epoch: [0][2050/5005] Time 0.460 (0.471) Data 0.000 (0.001) Loss 6.7241 (6.8281) Prec@1 1.172 (0.250) Prec@5 2.344 (1.088)
Epoch: [0][2060/5005] Time 0.455 (0.471) Data 0.000 (0.001) Loss 6.6679 (6.8274) Prec@1 0.391 (0.251) Prec@5 2.734 (1.094)
Epoch: [0][2070/5005] Time 0.445 (0.471) Data 0.000 (0.001) Loss 6.6183 (6.8266) Prec@1 0.391 (0.252) Prec@5 3.906 (1.101)
Epoch: [0][2080/5005] Time 0.459 (0.471) Data 0.001 (0.001) Loss 6.6421 (6.8258) Prec@1 0.781 (0.253) Prec@5 1.172 (1.106)
Epoch: [0][2090/5005] Time 0.458 (0.471) Data 0.000 (0.001) Loss 6.6609 (6.8249) Prec@1 0.781 (0.254) Prec@5 1.953 (1.112)
Epoch: [0][2100/5005] Time 0.456 (0.471) Data 0.000 (0.001) Loss 6.6224 (6.8241) Prec@1 1.172 (0.255) Prec@5 2.734 (1.116)
Epoch: [0][2110/5005] Time 0.460 (0.471) Data 0.000 (0.001) Loss 6.7308 (6.8233) Prec@1 0.000 (0.254) Prec@5 1.562 (1.121)
Epoch: [0][2120/5005] Time 0.458 (0.471) Data 0.000 (0.001) Loss 6.6505 (6.8225) Prec@1 1.562 (0.257) Prec@5 5.078 (1.127)
Epoch: [0][2130/5005] Time 0.464 (0.470) Data 0.000 (0.001) Loss 6.6667 (6.8216) Prec@1 0.000 (0.258) Prec@5 1.953 (1.133)
Epoch: [0][2140/5005] Time 0.449 (0.470) Data 0.000 (0.001) Loss 6.6248 (6.8207) Prec@1 1.172 (0.261) Prec@5 1.953 (1.142)
Epoch: [0][2150/5005] Time 0.456 (0.470) Data 0.000 (0.001) Loss 6.5926 (6.8197) Prec@1 1.562 (0.263) Prec@5 3.516 (1.147)
Epoch: [0][2160/5005] Time 0.454 (0.470) Data 0.000 (0.001) Loss 6.6067 (6.8188) Prec@1 1.172 (0.265) Prec@5 2.344 (1.152)
Epoch: [0][2170/5005] Time 0.458 (0.470) Data 0.000 (0.001) Loss 6.5983 (6.8180) Prec@1 0.391 (0.266) Prec@5 1.953 (1.157)
Epoch: [0][2180/5005] Time 0.459 (0.470) Data 0.000 (0.001) Loss 6.6501 (6.8172) Prec@1 0.781 (0.268) Prec@5 2.734 (1.163)
Epoch: [0][2190/5005] Time 0.462 (0.470) Data 0.000 (0.001) Loss 6.5601 (6.8163) Prec@1 1.953 (0.270) Prec@5 4.297 (1.171)
Epoch: [0][2200/5005] Time 0.458 (0.470) Data 0.000 (0.001) Loss 6.5697 (6.8153) Prec@1 0.781 (0.271) Prec@5 3.516 (1.176)
Epoch: [0][2210/5005] Time 0.459 (0.470) Data 0.000 (0.001) Loss 6.5499 (6.8143) Prec@1 0.000 (0.272) Prec@5 0.781 (1.180)
Epoch: [0][2220/5005] Time 0.456 (0.470) Data 0.000 (0.001) Loss 6.6196 (6.8134) Prec@1 1.172 (0.275) Prec@5 2.734 (1.188)
Epoch: [0][2230/5005] Time 0.461 (0.470) Data 0.000 (0.001) Loss 6.6718 (6.8125) Prec@1 0.000 (0.276) Prec@5 1.562 (1.194)
Epoch: [0][2240/5005] Time 0.455 (0.470) Data 0.000 (0.001) Loss 6.6333 (6.8113) Prec@1 1.172 (0.277) Prec@5 3.125 (1.199)
Epoch: [0][2250/5005] Time 0.456 (0.470) Data 0.000 (0.001) Loss 6.5534 (6.8102) Prec@1 0.391 (0.278) Prec@5 2.344 (1.205)
Epoch: [0][2260/5005] Time 0.461 (0.470) Data 0.000 (0.001) Loss 6.5851 (6.8093) Prec@1 0.000 (0.279) Prec@5 2.734 (1.209)
Epoch: [0][2270/5005] Time 0.458 (0.470) Data 0.000 (0.001) Loss 6.4874 (6.8082) Prec@1 1.172 (0.281) Prec@5 3.125 (1.217)
Epoch: [0][2280/5005] Time 0.457 (0.470) Data 0.000 (0.001) Loss 6.5877 (6.8072) Prec@1 0.000 (0.284) Prec@5 1.953 (1.224)
Epoch: [0][2290/5005] Time 0.458 (0.470) Data 0.000 (0.001) Loss 6.4709 (6.8061) Prec@1 1.562 (0.286) Prec@5 5.469 (1.231)
Epoch: [0][2300/5005] Time 0.457 (0.470) Data 0.000 (0.001) Loss 6.5697 (6.8050) Prec@1 0.391 (0.288) Prec@5 1.953 (1.239)
Epoch: [0][2310/5005] Time 0.456 (0.469) Data 0.000 (0.001) Loss 6.5132 (6.8038) Prec@1 0.781 (0.289) Prec@5 3.125 (1.247)
Epoch: [0][2320/5005] Time 0.449 (0.469) Data 0.000 (0.001) Loss 6.4940 (6.8026) Prec@1 1.172 (0.291) Prec@5 5.469 (1.255)
Epoch: [0][2330/5005] Time 0.459 (0.469) Data 0.000 (0.001) Loss 6.5172 (6.8015) Prec@1 1.172 (0.293) Prec@5 3.516 (1.261)
Epoch: [0][2340/5005] Time 0.453 (0.469) Data 0.001 (0.001) Loss 6.5854 (6.8004) Prec@1 0.000 (0.295) Prec@5 1.172 (1.267)
Epoch: [0][2350/5005] Time 0.465 (0.469) Data 0.000 (0.001) Loss 6.4615 (6.7993) Prec@1 2.344 (0.297) Prec@5 3.516 (1.272)
Epoch: [0][2360/5005] Time 0.451 (0.469) Data 0.000 (0.001) Loss 6.5176 (6.7982) Prec@1 0.391 (0.299) Prec@5 2.734 (1.279)
Epoch: [0][2370/5005] Time 0.459 (0.469) Data 0.000 (0.001) Loss 6.4800 (6.7971) Prec@1 0.391 (0.301) Prec@5 2.344 (1.287)
Epoch: [0][2380/5005] Time 0.452 (0.469) Data 0.000 (0.001) Loss 6.5266 (6.7959) Prec@1 0.781 (0.302) Prec@5 3.906 (1.293)
Epoch: [0][2390/5005] Time 0.460 (0.469) Data 0.000 (0.001) Loss 6.5502 (6.7948) Prec@1 1.562 (0.304) Prec@5 4.297 (1.300)
Epoch: [0][2400/5005] Time 0.458 (0.469) Data 0.000 (0.001) Loss 6.5763 (6.7936) Prec@1 0.000 (0.306) Prec@5 1.562 (1.307)
Epoch: [0][2410/5005] Time 0.455 (0.469) Data 0.000 (0.001) Loss 6.4770 (6.7925) Prec@1 1.562 (0.307) Prec@5 5.469 (1.313)
Epoch: [0][2420/5005] Time 0.455 (0.469) Data 0.000 (0.001) Loss 6.4063 (6.7913) Prec@1 1.562 (0.310) Prec@5 3.906 (1.320)
Epoch: [0][2430/5005] Time 0.456 (0.469) Data 0.000 (0.001) Loss 6.5744 (6.7902) Prec@1 0.391 (0.311) Prec@5 3.516 (1.325)
Epoch: [0][2440/5005] Time 0.459 (0.469) Data 0.000 (0.001) Loss 6.5792 (6.7891) Prec@1 0.781 (0.313) Prec@5 2.344 (1.331)
Epoch: [0][2450/5005] Time 0.461 (0.469) Data 0.000 (0.001) Loss 6.5028 (6.7880) Prec@1 0.391 (0.314) Prec@5 2.734 (1.337)
Epoch: [0][2460/5005] Time 0.456 (0.469) Data 0.000 (0.001) Loss 6.4212 (6.7866) Prec@1 0.391 (0.317) Prec@5 3.125 (1.348)
Epoch: [0][2470/5005] Time 0.460 (0.469) Data 0.000 (0.001) Loss 6.4560 (6.7853) Prec@1 1.562 (0.320) Prec@5 3.125 (1.357)
Epoch: [0][2480/5005] Time 0.452 (0.469) Data 0.000 (0.001) Loss 6.4735 (6.7840) Prec@1 0.391 (0.321) Prec@5 3.125 (1.366)
Epoch: [0][2490/5005] Time 0.458 (0.469) Data 0.000 (0.001) Loss 6.4656 (6.7829) Prec@1 0.391 (0.323) Prec@5 3.906 (1.372)
Epoch: [0][2500/5005] Time 0.459 (0.469) Data 0.000 (0.001) Loss 6.4473 (6.7817) Prec@1 0.391 (0.324) Prec@5 1.953 (1.379)
Epoch: [0][2510/5005] Time 0.457 (0.468) Data 0.000 (0.001) Loss 6.4434 (6.7805) Prec@1 0.391 (0.326) Prec@5 1.562 (1.386)
Epoch: [0][2520/5005] Time 0.457 (0.468) Data 0.000 (0.001) Loss 6.3779 (6.7791) Prec@1 1.562 (0.328) Prec@5 6.250 (1.396)
Epoch: [0][2530/5005] Time 0.457 (0.468) Data 0.000 (0.001) Loss 6.3878 (6.7777) Prec@1 0.391 (0.331) Prec@5 4.688 (1.404)
Epoch: [0][2540/5005] Time 0.461 (0.468) Data 0.001 (0.001) Loss 6.4115 (6.7762) Prec@1 1.562 (0.334) Prec@5 4.297 (1.412)
Epoch: [0][2550/5005] Time 0.457 (0.468) Data 0.000 (0.001) Loss 6.4850 (6.7749) Prec@1 1.562 (0.336) Prec@5 5.078 (1.421)
Epoch: [0][2560/5005] Time 0.455 (0.468) Data 0.000 (0.001) Loss 6.2949 (6.7736) Prec@1 1.953 (0.339) Prec@5 5.859 (1.430)
Epoch: [0][2570/5005] Time 0.454 (0.468) Data 0.000 (0.001) Loss 6.4456 (6.7721) Prec@1 1.172 (0.341) Prec@5 6.641 (1.440)
Epoch: [0][2580/5005] Time 0.460 (0.468) Data 0.000 (0.001) Loss 6.4174 (6.7708) Prec@1 1.562 (0.343) Prec@5 3.516 (1.448)
Epoch: [0][2590/5005] Time 0.461 (0.468) Data 0.000 (0.001) Loss 6.4090 (6.7693) Prec@1 0.391 (0.344) Prec@5 4.297 (1.456)
Epoch: [0][2600/5005] Time 0.452 (0.468) Data 0.000 (0.001) Loss 6.4093 (6.7678) Prec@1 2.734 (0.347) Prec@5 4.297 (1.464)
Epoch: [0][2610/5005] Time 0.462 (0.468) Data 0.000 (0.001) Loss 6.4019 (6.7665) Prec@1 0.000 (0.349) Prec@5 3.906 (1.473)
Epoch: [0][2620/5005] Time 0.459 (0.468) Data 0.000 (0.001) Loss 6.4421 (6.7652) Prec@1 0.391 (0.350) Prec@5 4.688 (1.481)
Epoch: [0][2630/5005] Time 0.454 (0.468) Data 0.000 (0.001) Loss 6.4304 (6.7638) Prec@1 1.172 (0.353) Prec@5 4.297 (1.490)
Epoch: [0][2640/5005] Time 0.453 (0.468) Data 0.000 (0.001) Loss 6.4138 (6.7625) Prec@1 0.391 (0.354) Prec@5 1.953 (1.499)
Epoch: [0][2650/5005] Time 0.457 (0.468) Data 0.000 (0.001) Loss 6.4252 (6.7611) Prec@1 1.562 (0.356) Prec@5 2.344 (1.505)
Epoch: [0][2660/5005] Time 0.463 (0.468) Data 0.000 (0.001) Loss 6.3323 (6.7596) Prec@1 1.172 (0.359) Prec@5 5.469 (1.517)
Epoch: [0][2670/5005] Time 0.457 (0.468) Data 0.000 (0.001) Loss 6.3024 (6.7580) Prec@1 0.391 (0.361) Prec@5 4.297 (1.525)
Epoch: [0][2680/5005] Time 0.454 (0.468) Data 0.000 (0.001) Loss 6.3465 (6.7564) Prec@1 0.781 (0.362) Prec@5 2.344 (1.536)
Epoch: [0][2690/5005] Time 0.454 (0.468) Data 0.000 (0.001) Loss 6.3528 (6.7549) Prec@1 1.953 (0.365) Prec@5 5.469 (1.546)
Epoch: [0][2700/5005] Time 0.454 (0.468) Data 0.000 (0.001) Loss 6.2555 (6.7533) Prec@1 0.000 (0.367) Prec@5 5.078 (1.556)
Epoch: [0][2710/5005] Time 0.456 (0.468) Data 0.000 (0.001) Loss 6.3476 (6.7518) Prec@1 2.734 (0.370) Prec@5 6.641 (1.565)
Epoch: [0][2720/5005] Time 0.462 (0.468) Data 0.000 (0.001) Loss 6.4039 (6.7505) Prec@1 0.781 (0.372) Prec@5 3.125 (1.572)
Epoch: [0][2730/5005] Time 0.458 (0.468) Data 0.000 (0.001) Loss 6.4304 (6.7491) Prec@1 1.562 (0.374) Prec@5 3.516 (1.580)
Epoch: [0][2740/5005] Time 0.457 (0.468) Data 0.000 (0.001) Loss 6.3866 (6.7477) Prec@1 1.562 (0.377) Prec@5 3.906 (1.589)
Epoch: [0][2750/5005] Time 0.456 (0.468) Data 0.000 (0.001) Loss 6.3143 (6.7461) Prec@1 2.734 (0.379) Prec@5 5.469 (1.599)
Epoch: [0][2760/5005] Time 0.453 (0.467) Data 0.000 (0.001) Loss 6.4419 (6.7447) Prec@1 0.781 (0.380) Prec@5 4.297 (1.606)
Epoch: [0][2770/5005] Time 0.455 (0.467) Data 0.000 (0.001) Loss 6.3945 (6.7431) Prec@1 2.344 (0.383) Prec@5 3.125 (1.616)
Epoch: [0][2780/5005] Time 0.459 (0.467) Data 0.000 (0.001) Loss 6.3056 (6.7417) Prec@1 1.953 (0.385) Prec@5 4.688 (1.625)
Epoch: [0][2790/5005] Time 0.456 (0.467) Data 0.000 (0.001) Loss 6.2441 (6.7401) Prec@1 0.391 (0.388) Prec@5 2.344 (1.635)
Epoch: [0][2800/5005] Time 0.462 (0.467) Data 0.000 (0.001) Loss 6.4330 (6.7387) Prec@1 0.781 (0.392) Prec@5 4.297 (1.645)
Epoch: [0][2810/5005] Time 0.455 (0.467) Data 0.000 (0.001) Loss 6.2714 (6.7372) Prec@1 1.953 (0.394) Prec@5 5.859 (1.656)
Epoch: [0][2820/5005] Time 0.456 (0.467) Data 0.000 (0.001) Loss 6.4502 (6.7357) Prec@1 0.391 (0.397) Prec@5 2.734 (1.666)
Epoch: [0][2830/5005] Time 0.462 (0.467) Data 0.000 (0.001) Loss 6.2938 (6.7342) Prec@1 1.562 (0.400) Prec@5 4.297 (1.677)
Epoch: [0][2840/5005] Time 0.452 (0.467) Data 0.000 (0.001) Loss 6.2952 (6.7327) Prec@1 0.781 (0.402) Prec@5 4.688 (1.686)
Epoch: [0][2850/5005] Time 0.457 (0.467) Data 0.000 (0.001) Loss 6.2457 (6.7311) Prec@1 1.172 (0.405) Prec@5 5.469 (1.697)
Epoch: [0][2860/5005] Time 0.462 (0.467) Data 0.000 (0.001) Loss 6.3183 (6.7295) Prec@1 0.391 (0.406) Prec@5 3.516 (1.707)
Epoch: [0][2870/5005] Time 0.455 (0.467) Data 0.000 (0.001) Loss 6.2390 (6.7280) Prec@1 1.562 (0.409) Prec@5 4.297 (1.717)
Epoch: [0][2880/5005] Time 0.459 (0.467) Data 0.000 (0.001) Loss 6.3889 (6.7263) Prec@1 0.391 (0.411) Prec@5 2.344 (1.728)
Epoch: [0][2890/5005] Time 0.453 (0.467) Data 0.000 (0.001) Loss 6.2898 (6.7247) Prec@1 1.172 (0.413) Prec@5 4.688 (1.737)
Epoch: [0][2900/5005] Time 0.455 (0.467) Data 0.000 (0.001) Loss 6.4224 (6.7234) Prec@1 0.000 (0.416) Prec@5 3.516 (1.746)
Epoch: [0][2910/5005] Time 0.454 (0.467) Data 0.000 (0.001) Loss 6.4009 (6.7220) Prec@1 2.344 (0.419) Prec@5 5.859 (1.758)
Epoch: [0][2920/5005] Time 0.454 (0.467) Data 0.000 (0.001) Loss 6.2124 (6.7205) Prec@1 1.562 (0.422) Prec@5 5.859 (1.769)
Epoch: [0][2930/5005] Time 0.455 (0.467) Data 0.000 (0.001) Loss 6.2403 (6.7189) Prec@1 0.391 (0.425) Prec@5 3.516 (1.781)
Epoch: [0][2940/5005] Time 0.454 (0.467) Data 0.000 (0.001) Loss 6.2289 (6.7175) Prec@1 2.344 (0.427) Prec@5 6.641 (1.789)
Epoch: [0][2950/5005] Time 0.460 (0.467) Data 0.000 (0.001) Loss 6.2294 (6.7160) Prec@1 1.562 (0.430) Prec@5 6.250 (1.801)
Epoch: [0][2960/5005] Time 0.452 (0.467) Data 0.000 (0.001) Loss 6.3943 (6.7145) Prec@1 0.391 (0.434) Prec@5 3.125 (1.810)
Epoch: [0][2970/5005] Time 0.454 (0.467) Data 0.000 (0.001) Loss 6.2347 (6.7129) Prec@1 1.172 (0.436) Prec@5 3.516 (1.820)
Epoch: [0][2980/5005] Time 0.458 (0.467) Data 0.000 (0.001) Loss 6.2441 (6.7113) Prec@1 0.781 (0.439) Prec@5 3.906 (1.830)
Epoch: [0][2990/5005] Time 0.459 (0.467) Data 0.000 (0.001) Loss 6.1692 (6.7097) Prec@1 1.562 (0.442) Prec@5 7.422 (1.842)
Epoch: [0][3000/5005] Time 0.460 (0.467) Data 0.000 (0.001) Loss 6.2212 (6.7080) Prec@1 1.172 (0.445) Prec@5 3.516 (1.854)
Epoch: [0][3010/5005] Time 0.460 (0.467) Data 0.000 (0.001) Loss 6.2000 (6.7065) Prec@1 0.781 (0.448) Prec@5 4.688 (1.864)
Epoch: [0][3020/5005] Time 0.455 (0.467) Data 0.000 (0.001) Loss 6.1259 (6.7048) Prec@1 2.344 (0.453) Prec@5 6.641 (1.878)
Epoch: [0][3030/5005] Time 0.453 (0.467) Data 0.000 (0.001) Loss 6.2481 (6.7033) Prec@1 0.391 (0.456) Prec@5 2.734 (1.888)
Epoch: [0][3040/5005] Time 0.457 (0.467) Data 0.000 (0.001) Loss 6.2387 (6.7017) Prec@1 1.172 (0.459) Prec@5 3.906 (1.898)
Epoch: [0][3050/5005] Time 0.456 (0.467) Data 0.000 (0.001) Loss 6.2112 (6.7002) Prec@1 1.172 (0.462) Prec@5 5.078 (1.908)
Epoch: [0][3060/5005] Time 0.456 (0.467) Data 0.000 (0.001) Loss 6.2845 (6.6987) Prec@1 1.172 (0.464) Prec@5 3.516 (1.918)
Epoch: [0][3070/5005] Time 0.459 (0.466) Data 0.000 (0.001) Loss 6.2787 (6.6971) Prec@1 0.781 (0.468) Prec@5 2.734 (1.929)
Epoch: [0][3080/5005] Time 0.455 (0.466) Data 0.000 (0.001) Loss 6.1456 (6.6954) Prec@1 1.172 (0.472) Prec@5 4.297 (1.939)
Epoch: [0][3090/5005] Time 0.451 (0.466) Data 0.000 (0.001) Loss 6.1592 (6.6938) Prec@1 0.781 (0.474) Prec@5 5.078 (1.952)
Epoch: [0][3100/5005] Time 0.460 (0.466) Data 0.000 (0.001) Loss 6.2821 (6.6922) Prec@1 0.781 (0.476) Prec@5 2.734 (1.960)
Epoch: [0][3110/5005] Time 0.460 (0.466) Data 0.000 (0.001) Loss 6.2740 (6.6906) Prec@1 2.344 (0.480) Prec@5 6.641 (1.973)
Epoch: [0][3120/5005] Time 0.453 (0.466) Data 0.000 (0.001) Loss 6.3280 (6.6890) Prec@1 0.391 (0.483) Prec@5 4.297 (1.986)
Epoch: [0][3130/5005] Time 0.462 (0.466) Data 0.000 (0.001) Loss 6.2814 (6.6876) Prec@1 0.781 (0.486) Prec@5 4.688 (1.997)
Epoch: [0][3140/5005] Time 0.462 (0.466) Data 0.000 (0.001) Loss 6.1676 (6.6859) Prec@1 1.953 (0.489) Prec@5 5.859 (2.008)
Epoch: [0][3150/5005] Time 0.461 (0.466) Data 0.000 (0.001) Loss 6.1285 (6.6843) Prec@1 1.562 (0.493) Prec@5 7.422 (2.021)
Epoch: [0][3160/5005] Time 0.453 (0.466) Data 0.000 (0.001) Loss 6.3382 (6.6827) Prec@1 0.781 (0.496) Prec@5 5.078 (2.031)
Epoch: [0][3170/5005] Time 0.459 (0.466) Data 0.000 (0.001) Loss 6.2002 (6.6812) Prec@1 0.391 (0.497) Prec@5 5.859 (2.041)
Epoch: [0][3180/5005] Time 0.458 (0.466) Data 0.000 (0.001) Loss 6.2239 (6.6796) Prec@1 1.953 (0.502) Prec@5 5.078 (2.052)
Epoch: [0][3190/5005] Time 0.457 (0.466) Data 0.000 (0.001) Loss 6.1565 (6.6781) Prec@1 0.781 (0.504) Prec@5 4.688 (2.061)
Epoch: [0][3200/5005] Time 0.461 (0.466) Data 0.000 (0.001) Loss 6.0982 (6.6764) Prec@1 1.562 (0.508) Prec@5 4.297 (2.074)
Epoch: [0][3210/5005] Time 0.455 (0.466) Data 0.000 (0.001) Loss 6.1704 (6.6747) Prec@1 1.562 (0.511) Prec@5 6.641 (2.086)
Epoch: [0][3220/5005] Time 0.459 (0.466) Data 0.000 (0.001) Loss 6.2433 (6.6732) Prec@1 0.391 (0.513) Prec@5 3.125 (2.095)
Epoch: [0][3230/5005] Time 0.455 (0.466) Data 0.000 (0.001) Loss 6.1091 (6.6716) Prec@1 1.562 (0.516) Prec@5 5.469 (2.106)
Epoch: [0][3240/5005] Time 0.457 (0.466) Data 0.000 (0.001) Loss 6.1621 (6.6699) Prec@1 1.562 (0.521) Prec@5 6.250 (2.118)
Epoch: [0][3250/5005] Time 0.453 (0.466) Data 0.000 (0.001) Loss 6.1071 (6.6684) Prec@1 0.781 (0.525) Prec@5 9.375 (2.129)
Epoch: [0][3260/5005] Time 0.461 (0.466) Data 0.000 (0.001) Loss 5.9918 (6.6667) Prec@1 1.562 (0.529) Prec@5 6.641 (2.142)
Epoch: [0][3270/5005] Time 0.456 (0.466) Data 0.000 (0.001) Loss 6.0464 (6.6649) Prec@1 3.516 (0.533) Prec@5 9.375 (2.157)
Epoch: [0][3280/5005] Time 0.458 (0.466) Data 0.000 (0.001) Loss 6.1197 (6.6632) Prec@1 1.953 (0.536) Prec@5 10.156 (2.171)
Epoch: [0][3290/5005] Time 0.458 (0.466) Data 0.000 (0.001) Loss 6.1053 (6.6615) Prec@1 1.562 (0.539) Prec@5 5.859 (2.179)
Epoch: [0][3300/5005] Time 0.460 (0.466) Data 0.000 (0.001) Loss 5.9745 (6.6598) Prec@1 3.516 (0.543) Prec@5 7.812 (2.192)
Epoch: [0][3310/5005] Time 0.455 (0.466) Data 0.000 (0.001) Loss 6.1506 (6.6581) Prec@1 2.734 (0.547) Prec@5 6.250 (2.206)
Epoch: [0][3320/5005] Time 0.457 (0.466) Data 0.000 (0.001) Loss 6.1490 (6.6565) Prec@1 1.172 (0.550) Prec@5 5.078 (2.216)
Epoch: [0][3330/5005] Time 0.460 (0.466) Data 0.000 (0.001) Loss 6.0436 (6.6547) Prec@1 1.172 (0.551) Prec@5 6.641 (2.228)
Epoch: [0][3340/5005] Time 0.454 (0.466) Data 0.000 (0.001) Loss 6.1549 (6.6530) Prec@1 1.953 (0.556) Prec@5 6.641 (2.243)
Epoch: [0][3350/5005] Time 0.451 (0.466) Data 0.000 (0.001) Loss 6.1394 (6.6513) Prec@1 2.344 (0.560) Prec@5 8.203 (2.259)
Epoch: [0][3360/5005] Time 0.461 (0.466) Data 0.000 (0.001) Loss 6.1871 (6.6498) Prec@1 1.172 (0.564) Prec@5 5.469 (2.271)
Epoch: [0][3370/5005] Time 0.456 (0.466) Data 0.000 (0.001) Loss 6.1895 (6.6483) Prec@1 1.562 (0.567) Prec@5 6.250 (2.283)
Epoch: [0][3380/5005] Time 0.454 (0.466) Data 0.000 (0.001) Loss 5.9574 (6.6466) Prec@1 4.297 (0.571) Prec@5 9.766 (2.296)
Epoch: [0][3390/5005] Time 0.457 (0.466) Data 0.000 (0.001) Loss 6.0567 (6.6448) Prec@1 2.344 (0.576) Prec@5 7.031 (2.310)
Epoch: [0][3400/5005] Time 0.456 (0.466) Data 0.000 (0.001) Loss 5.9309 (6.6431) Prec@1 2.734 (0.580) Prec@5 8.984 (2.326)
Epoch: [0][3410/5005] Time 0.460 (0.466) Data 0.000 (0.001) Loss 6.1696 (6.6414) Prec@1 1.172 (0.584) Prec@5 5.859 (2.339)
Epoch: [0][3420/5005] Time 0.462 (0.466) Data 0.000 (0.001) Loss 6.0096 (6.6398) Prec@1 0.781 (0.588) Prec@5 5.078 (2.351)
Epoch: [0][3430/5005] Time 0.460 (0.466) Data 0.000 (0.001) Loss 6.0508 (6.6382) Prec@1 3.516 (0.593) Prec@5 9.766 (2.364)
Epoch: [0][3440/5005] Time 0.456 (0.466) Data 0.000 (0.001) Loss 6.1825 (6.6366) Prec@1 1.562 (0.597) Prec@5 6.250 (2.378)
Epoch: [0][3450/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 6.1571 (6.6351) Prec@1 3.125 (0.601) Prec@5 8.203 (2.391)
Epoch: [0][3460/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 5.9742 (6.6333) Prec@1 1.953 (0.605) Prec@5 7.031 (2.405)
Epoch: [0][3470/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 6.0844 (6.6316) Prec@1 1.562 (0.609) Prec@5 4.688 (2.417)
Epoch: [0][3480/5005] Time 0.461 (0.465) Data 0.000 (0.001) Loss 6.1142 (6.6300) Prec@1 1.953 (0.612) Prec@5 7.422 (2.429)
Epoch: [0][3490/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 6.0685 (6.6284) Prec@1 0.781 (0.616) Prec@5 6.250 (2.442)
Epoch: [0][3500/5005] Time 0.459 (0.465) Data 0.000 (0.001) Loss 6.1513 (6.6267) Prec@1 1.172 (0.618) Prec@5 5.469 (2.454)
Epoch: [0][3510/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 5.9967 (6.6250) Prec@1 1.953 (0.622) Prec@5 7.422 (2.466)
Epoch: [0][3520/5005] Time 0.459 (0.465) Data 0.000 (0.001) Loss 6.1189 (6.6234) Prec@1 0.391 (0.624) Prec@5 5.859 (2.479)
Epoch: [0][3530/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 6.2296 (6.6217) Prec@1 1.562 (0.628) Prec@5 4.688 (2.493)
Epoch: [0][3540/5005] Time 0.464 (0.465) Data 0.000 (0.001) Loss 5.9942 (6.6202) Prec@1 2.344 (0.632) Prec@5 7.812 (2.504)
Epoch: [0][3550/5005] Time 0.459 (0.465) Data 0.000 (0.001) Loss 6.0071 (6.6185) Prec@1 1.562 (0.636) Prec@5 7.031 (2.520)
Epoch: [0][3560/5005] Time 0.463 (0.465) Data 0.000 (0.001) Loss 5.9112 (6.6169) Prec@1 1.953 (0.640) Prec@5 10.156 (2.532)
Epoch: [0][3570/5005] Time 0.454 (0.465) Data 0.000 (0.001) Loss 6.0689 (6.6153) Prec@1 2.734 (0.644) Prec@5 7.422 (2.544)
Epoch: [0][3580/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 5.9499 (6.6137) Prec@1 1.562 (0.648) Prec@5 7.031 (2.556)
Epoch: [0][3590/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 6.1038 (6.6120) Prec@1 0.781 (0.652) Prec@5 5.078 (2.571)
Epoch: [0][3600/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 6.0669 (6.6104) Prec@1 0.781 (0.656) Prec@5 5.859 (2.582)
Epoch: [0][3610/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 6.0075 (6.6088) Prec@1 1.953 (0.659) Prec@5 7.812 (2.595)
Epoch: [0][3620/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 6.0358 (6.6069) Prec@1 0.391 (0.663) Prec@5 8.594 (2.611)
Epoch: [0][3630/5005] Time 0.455 (0.465) Data 0.000 (0.001) Loss 6.0371 (6.6054) Prec@1 1.562 (0.666) Prec@5 5.469 (2.622)
Epoch: [0][3640/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 6.0130 (6.6038) Prec@1 2.344 (0.671) Prec@5 9.766 (2.637)
Epoch: [0][3650/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 6.0622 (6.6021) Prec@1 3.516 (0.675) Prec@5 7.812 (2.649)
Epoch: [0][3660/5005] Time 0.459 (0.465) Data 0.000 (0.001) Loss 5.9942 (6.6006) Prec@1 3.906 (0.680) Prec@5 10.156 (2.664)
Epoch: [0][3670/5005] Time 0.452 (0.465) Data 0.000 (0.001) Loss 6.0139 (6.5990) Prec@1 2.734 (0.684) Prec@5 8.984 (2.677)
Epoch: [0][3680/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 5.9577 (6.5975) Prec@1 3.125 (0.687) Prec@5 8.984 (2.692)
Epoch: [0][3690/5005] Time 0.464 (0.465) Data 0.000 (0.001) Loss 6.0283 (6.5959) Prec@1 1.953 (0.691) Prec@5 6.250 (2.705)
Epoch: [0][3700/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 6.0712 (6.5941) Prec@1 1.562 (0.696) Prec@5 5.859 (2.720)
Epoch: [0][3710/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 5.8025 (6.5924) Prec@1 3.516 (0.701) Prec@5 12.109 (2.734)
Epoch: [0][3720/5005] Time 0.458 (0.465) Data 0.000 (0.001) Loss 6.0553 (6.5907) Prec@1 0.781 (0.704) Prec@5 4.297 (2.749)
Epoch: [0][3730/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 6.0238 (6.5891) Prec@1 0.391 (0.707) Prec@5 6.641 (2.762)
Epoch: [0][3740/5005] Time 0.459 (0.465) Data 0.000 (0.001) Loss 5.9748 (6.5875) Prec@1 2.734 (0.711) Prec@5 9.375 (2.775)
Epoch: [0][3750/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 6.1213 (6.5858) Prec@1 1.172 (0.715) Prec@5 6.250 (2.788)
Epoch: [0][3760/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 5.9237 (6.5842) Prec@1 1.562 (0.719) Prec@5 7.031 (2.799)
Epoch: [0][3770/5005] Time 0.461 (0.465) Data 0.000 (0.001) Loss 5.9207 (6.5825) Prec@1 1.172 (0.724) Prec@5 9.766 (2.813)
Epoch: [0][3780/5005] Time 0.463 (0.465) Data 0.000 (0.001) Loss 5.8997 (6.5809) Prec@1 3.125 (0.727) Prec@5 9.375 (2.824)
Epoch: [0][3790/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 5.8371 (6.5791) Prec@1 3.125 (0.733) Prec@5 8.984 (2.841)
Epoch: [0][3800/5005] Time 0.455 (0.465) Data 0.000 (0.001) Loss 5.8832 (6.5775) Prec@1 2.734 (0.737) Prec@5 9.766 (2.856)
Epoch: [0][3810/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 5.9620 (6.5758) Prec@1 3.125 (0.741) Prec@5 10.156 (2.870)
Epoch: [0][3820/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 5.9319 (6.5741) Prec@1 0.781 (0.747) Prec@5 8.594 (2.886)
Epoch: [0][3830/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 6.0082 (6.5724) Prec@1 1.172 (0.751) Prec@5 6.641 (2.901)
Epoch: [0][3840/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 6.0156 (6.5708) Prec@1 1.562 (0.755) Prec@5 6.250 (2.915)
Epoch: [0][3850/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 5.9532 (6.5691) Prec@1 0.781 (0.758) Prec@5 7.422 (2.933)
Epoch: [0][3860/5005] Time 0.459 (0.465) Data 0.000 (0.001) Loss 5.9597 (6.5675) Prec@1 1.562 (0.761) Prec@5 4.297 (2.943)
Epoch: [0][3870/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 5.9135 (6.5659) Prec@1 2.734 (0.765) Prec@5 8.203 (2.959)
Epoch: [0][3880/5005] Time 0.458 (0.465) Data 0.000 (0.001) Loss 6.0440 (6.5643) Prec@1 0.781 (0.769) Prec@5 4.688 (2.972)
Epoch: [0][3890/5005] Time 0.459 (0.465) Data 0.000 (0.001) Loss 5.8239 (6.5628) Prec@1 3.906 (0.772) Prec@5 9.766 (2.986)
Epoch: [0][3900/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 6.1307 (6.5612) Prec@1 1.172 (0.777) Prec@5 5.859 (2.999)
Epoch: [0][3910/5005] Time 0.455 (0.465) Data 0.000 (0.001) Loss 5.9652 (6.5596) Prec@1 2.734 (0.781) Prec@5 8.594 (3.016)
Epoch: [0][3920/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 5.9167 (6.5579) Prec@1 3.516 (0.784) Prec@5 9.375 (3.029)
Epoch: [0][3930/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 5.8649 (6.5562) Prec@1 3.906 (0.789) Prec@5 7.812 (3.044)
Epoch: [0][3940/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 5.8514 (6.5544) Prec@1 2.344 (0.793) Prec@5 10.156 (3.059)
Epoch: [0][3950/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 5.6518 (6.5526) Prec@1 5.469 (0.798) Prec@5 14.453 (3.077)
Epoch: [0][3960/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 5.9775 (6.5509) Prec@1 2.734 (0.802) Prec@5 7.422 (3.091)
Epoch: [0][3970/5005] Time 0.461 (0.465) Data 0.000 (0.001) Loss 5.9155 (6.5493) Prec@1 1.953 (0.806) Prec@5 8.984 (3.107)
Epoch: [0][3980/5005] Time 0.463 (0.465) Data 0.000 (0.001) Loss 5.9140 (6.5477) Prec@1 1.953 (0.810) Prec@5 7.422 (3.120)
Epoch: [0][3990/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 6.0367 (6.5461) Prec@1 3.125 (0.814) Prec@5 8.594 (3.133)
Epoch: [0][4000/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 5.9116 (6.5445) Prec@1 4.297 (0.819) Prec@5 10.938 (3.151)
Epoch: [0][4010/5005] Time 0.454 (0.465) Data 0.000 (0.001) Loss 5.9011 (6.5430) Prec@1 2.344 (0.822) Prec@5 8.203 (3.164)
Epoch: [0][4020/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 5.8254 (6.5414) Prec@1 3.906 (0.826) Prec@5 8.594 (3.176)
Epoch: [0][4030/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.9064 (6.5400) Prec@1 2.344 (0.829) Prec@5 6.250 (3.187)
Epoch: [0][4040/5005] Time 0.457 (0.464) Data 0.000 (0.001) Loss 5.8680 (6.5382) Prec@1 3.125 (0.834) Prec@5 12.109 (3.206)
Epoch: [0][4050/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 6.0124 (6.5366) Prec@1 1.953 (0.839) Prec@5 6.641 (3.220)
Epoch: [0][4060/5005] Time 0.464 (0.464) Data 0.000 (0.001) Loss 5.9053 (6.5349) Prec@1 3.906 (0.845) Prec@5 8.984 (3.236)
Epoch: [0][4070/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 5.9134 (6.5332) Prec@1 3.125 (0.849) Prec@5 10.547 (3.252)
Epoch: [0][4080/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.8479 (6.5316) Prec@1 2.734 (0.854) Prec@5 10.156 (3.266)
Epoch: [0][4090/5005] Time 0.466 (0.464) Data 0.000 (0.001) Loss 6.0504 (6.5300) Prec@1 1.953 (0.859) Prec@5 6.250 (3.281)
Epoch: [0][4100/5005] Time 0.463 (0.464) Data 0.000 (0.001) Loss 6.0660 (6.5285) Prec@1 1.953 (0.862) Prec@5 7.422 (3.294)
Epoch: [0][4110/5005] Time 0.460 (0.464) Data 0.000 (0.001) Loss 5.7844 (6.5267) Prec@1 2.344 (0.867) Prec@5 8.203 (3.309)
Epoch: [0][4120/5005] Time 0.457 (0.464) Data 0.000 (0.001) Loss 5.7597 (6.5252) Prec@1 3.906 (0.871) Prec@5 12.500 (3.323)
Epoch: [0][4130/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.6487 (6.5235) Prec@1 5.078 (0.876) Prec@5 10.547 (3.339)
Epoch: [0][4140/5005] Time 0.462 (0.464) Data 0.000 (0.001) Loss 5.7722 (6.5218) Prec@1 4.297 (0.881) Prec@5 9.375 (3.355)
Epoch: [0][4150/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 5.8216 (6.5203) Prec@1 2.734 (0.885) Prec@5 10.547 (3.370)
Epoch: [0][4160/5005] Time 0.452 (0.464) Data 0.000 (0.001) Loss 5.9693 (6.5187) Prec@1 1.562 (0.891) Prec@5 8.594 (3.386)
Epoch: [0][4170/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.9814 (6.5170) Prec@1 2.344 (0.897) Prec@5 7.422 (3.403)
Epoch: [0][4180/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.9470 (6.5155) Prec@1 0.781 (0.900) Prec@5 6.250 (3.417)
Epoch: [0][4190/5005] Time 0.460 (0.464) Data 0.000 (0.001) Loss 5.8008 (6.5138) Prec@1 3.125 (0.907) Prec@5 10.156 (3.434)
Epoch: [0][4200/5005] Time 0.456 (0.464) Data 0.000 (0.001) Loss 5.7042 (6.5123) Prec@1 3.125 (0.912) Prec@5 12.891 (3.451)
Epoch: [0][4210/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 5.9544 (6.5108) Prec@1 2.344 (0.915) Prec@5 6.641 (3.465)
Epoch: [0][4220/5005] Time 0.464 (0.464) Data 0.000 (0.001) Loss 5.9218 (6.5092) Prec@1 2.344 (0.920) Prec@5 7.422 (3.480)
Epoch: [0][4230/5005] Time 0.452 (0.464) Data 0.000 (0.001) Loss 5.7668 (6.5075) Prec@1 5.078 (0.925) Prec@5 11.719 (3.496)
Epoch: [0][4240/5005] Time 0.463 (0.464) Data 0.000 (0.001) Loss 5.9017 (6.5060) Prec@1 2.734 (0.930) Prec@5 8.203 (3.510)
Epoch: [0][4250/5005] Time 0.455 (0.464) Data 0.000 (0.001) Loss 5.5390 (6.5042) Prec@1 4.297 (0.936) Prec@5 11.719 (3.528)
Epoch: [0][4260/5005] Time 0.459 (0.464) Data 0.000 (0.001) Loss 5.8094 (6.5025) Prec@1 1.172 (0.940) Prec@5 10.156 (3.546)
Epoch: [0][4270/5005] Time 0.453 (0.464) Data 0.000 (0.001) Loss 5.5993 (6.5007) Prec@1 3.906 (0.946) Prec@5 13.281 (3.562)
Epoch: [0][4280/5005] Time 0.462 (0.464) Data 0.000 (0.001) Loss 5.7494 (6.4990) Prec@1 3.516 (0.950) Prec@5 13.672 (3.579)
Epoch: [0][4290/5005] Time 0.460 (0.464) Data 0.000 (0.001) Loss 5.7467 (6.4972) Prec@1 3.516 (0.955) Prec@5 10.938 (3.596)
Epoch: [0][4300/5005] Time 0.464 (0.464) Data 0.000 (0.001) Loss 5.7342 (6.4955) Prec@1 3.516 (0.959) Prec@5 10.156 (3.612)
Epoch: [0][4310/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.6756 (6.4937) Prec@1 2.734 (0.965) Prec@5 10.938 (3.630)
Epoch: [0][4320/5005] Time 0.455 (0.464) Data 0.000 (0.001) Loss 5.7285 (6.4922) Prec@1 3.906 (0.969) Prec@5 10.156 (3.644)
Epoch: [0][4330/5005] Time 0.464 (0.464) Data 0.000 (0.001) Loss 5.7460 (6.4907) Prec@1 3.125 (0.974) Prec@5 11.719 (3.662)
Epoch: [0][4340/5005] Time 0.462 (0.464) Data 0.000 (0.001) Loss 5.7778 (6.4891) Prec@1 5.859 (0.981) Prec@5 15.234 (3.680)
Epoch: [0][4350/5005] Time 0.454 (0.464) Data 0.000 (0.001) Loss 5.7792 (6.4875) Prec@1 3.516 (0.986) Prec@5 10.156 (3.696)
Epoch: [0][4360/5005] Time 0.464 (0.464) Data 0.000 (0.001) Loss 5.7430 (6.4858) Prec@1 2.734 (0.991) Prec@5 11.719 (3.711)
Epoch: [0][4370/5005] Time 0.459 (0.464) Data 0.000 (0.001) Loss 5.7316 (6.4841) Prec@1 4.688 (0.996) Prec@5 13.672 (3.729)
Epoch: [0][4380/5005] Time 0.457 (0.464) Data 0.000 (0.001) Loss 5.8518 (6.4825) Prec@1 2.734 (1.001) Prec@5 12.500 (3.746)
Epoch: [0][4390/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.7413 (6.4808) Prec@1 3.906 (1.006) Prec@5 11.719 (3.762)
Epoch: [0][4400/5005] Time 0.454 (0.464) Data 0.000 (0.001) Loss 5.9048 (6.4791) Prec@1 1.562 (1.012) Prec@5 7.422 (3.778)
Epoch: [0][4410/5005] Time 0.456 (0.464) Data 0.000 (0.001) Loss 5.6884 (6.4774) Prec@1 2.734 (1.017) Prec@5 8.984 (3.793)
Epoch: [0][4420/5005] Time 0.453 (0.464) Data 0.000 (0.001) Loss 5.7194 (6.4756) Prec@1 3.516 (1.022) Prec@5 12.891 (3.811)
Epoch: [0][4430/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 5.8275 (6.4739) Prec@1 2.734 (1.028) Prec@5 11.328 (3.828)
Epoch: [0][4440/5005] Time 0.462 (0.464) Data 0.000 (0.001) Loss 5.6098 (6.4722) Prec@1 3.906 (1.035) Prec@5 13.281 (3.846)
Epoch: [0][4450/5005] Time 0.462 (0.464) Data 0.000 (0.001) Loss 5.7509 (6.4705) Prec@1 3.125 (1.040) Prec@5 9.766 (3.861)
Epoch: [0][4460/5005] Time 0.460 (0.464) Data 0.000 (0.001) Loss 5.6616 (6.4687) Prec@1 2.734 (1.046) Prec@5 8.984 (3.879)
Epoch: [0][4470/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.7829 (6.4670) Prec@1 3.906 (1.052) Prec@5 8.984 (3.895)
Epoch: [0][4480/5005] Time 0.457 (0.464) Data 0.000 (0.001) Loss 5.7653 (6.4655) Prec@1 3.906 (1.056) Prec@5 10.547 (3.909)
Epoch: [0][4490/5005] Time 0.460 (0.464) Data 0.000 (0.001) Loss 5.7367 (6.4640) Prec@1 4.688 (1.062) Prec@5 11.328 (3.924)
Epoch: [0][4500/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 5.6194 (6.4623) Prec@1 5.859 (1.068) Prec@5 13.672 (3.943)
Epoch: [0][4510/5005] Time 0.457 (0.464) Data 0.000 (0.001) Loss 5.7160 (6.4606) Prec@1 2.734 (1.074) Prec@5 12.109 (3.962)
Epoch: [0][4520/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.8509 (6.4591) Prec@1 3.906 (1.080) Prec@5 10.547 (3.978)
Epoch: [0][4530/5005] Time 0.460 (0.464) Data 0.000 (0.001) Loss 5.8540 (6.4576) Prec@1 1.562 (1.084) Prec@5 9.766 (3.993)
Epoch: [0][4540/5005] Time 0.465 (0.464) Data 0.000 (0.001) Loss 5.6595 (6.4561) Prec@1 4.688 (1.090) Prec@5 12.500 (4.009)
Epoch: [0][4550/5005] Time 0.465 (0.464) Data 0.000 (0.001) Loss 5.6565 (6.4545) Prec@1 3.906 (1.094) Prec@5 9.375 (4.025)
Epoch: [0][4560/5005] Time 0.459 (0.464) Data 0.000 (0.001) Loss 5.7180 (6.4527) Prec@1 4.688 (1.100) Prec@5 13.281 (4.042)
Epoch: [0][4570/5005] Time 0.453 (0.464) Data 0.000 (0.001) Loss 5.5660 (6.4511) Prec@1 5.078 (1.105) Prec@5 14.844 (4.059)
Epoch: [0][4580/5005] Time 0.452 (0.464) Data 0.000 (0.001) Loss 5.5055 (6.4493) Prec@1 6.250 (1.110) Prec@5 14.453 (4.077)
Epoch: [0][4590/5005] Time 0.456 (0.464) Data 0.000 (0.001) Loss 5.6701 (6.4477) Prec@1 4.297 (1.115) Prec@5 10.938 (4.094)
Epoch: [0][4600/5005] Time 0.465 (0.464) Data 0.000 (0.001) Loss 5.6467 (6.4459) Prec@1 2.344 (1.121) Prec@5 10.156 (4.113)
Epoch: [0][4610/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 5.7213 (6.4442) Prec@1 2.734 (1.127) Prec@5 8.984 (4.130)
Epoch: [0][4620/5005] Time 0.463 (0.464) Data 0.000 (0.001) Loss 5.6556 (6.4426) Prec@1 4.297 (1.133) Prec@5 14.062 (4.148)
Epoch: [0][4630/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.6253 (6.4411) Prec@1 5.859 (1.139) Prec@5 13.672 (4.164)
Epoch: [0][4640/5005] Time 0.457 (0.464) Data 0.000 (0.001) Loss 5.7900 (6.4395) Prec@1 3.906 (1.144) Prec@5 8.984 (4.180)
Epoch: [0][4650/5005] Time 0.456 (0.464) Data 0.000 (0.001) Loss 5.6740 (6.4380) Prec@1 2.734 (1.150) Prec@5 12.109 (4.197)
Epoch: [0][4660/5005] Time 0.459 (0.464) Data 0.000 (0.001) Loss 5.6136 (6.4363) Prec@1 2.344 (1.155) Prec@5 10.938 (4.215)
Epoch: [0][4670/5005] Time 0.463 (0.464) Data 0.000 (0.001) Loss 5.6620 (6.4347) Prec@1 3.906 (1.161) Prec@5 12.891 (4.233)
Epoch: [0][4680/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 5.7350 (6.4330) Prec@1 2.344 (1.165) Prec@5 12.109 (4.250)
Epoch: [0][4690/5005] Time 0.454 (0.464) Data 0.000 (0.001) Loss 5.5693 (6.4313) Prec@1 6.641 (1.172) Prec@5 14.844 (4.268)
Epoch: [0][4700/5005] Time 0.465 (0.464) Data 0.000 (0.001) Loss 5.7246 (6.4298) Prec@1 4.688 (1.176) Prec@5 12.500 (4.283)
Epoch: [0][4710/5005] Time 0.456 (0.464) Data 0.000 (0.001) Loss 5.7297 (6.4282) Prec@1 3.125 (1.182) Prec@5 10.156 (4.300)
Epoch: [0][4720/5005] Time 0.455 (0.464) Data 0.000 (0.001) Loss 5.5766 (6.4266) Prec@1 5.469 (1.188) Prec@5 13.672 (4.315)
Epoch: [0][4730/5005] Time 0.459 (0.464) Data 0.000 (0.001) Loss 5.6655 (6.4248) Prec@1 4.688 (1.193) Prec@5 17.188 (4.332)
Epoch: [0][4740/5005] Time 0.464 (0.464) Data 0.000 (0.001) Loss 5.5573 (6.4233) Prec@1 3.516 (1.197) Prec@5 15.625 (4.348)
Epoch: [0][4750/5005] Time 0.456 (0.464) Data 0.000 (0.001) Loss 5.5497 (6.4216) Prec@1 3.906 (1.203) Prec@5 13.281 (4.367)
Epoch: [0][4760/5005] Time 0.455 (0.464) Data 0.000 (0.001) Loss 5.4879 (6.4199) Prec@1 7.031 (1.210) Prec@5 19.531 (4.384)
Epoch: [0][4770/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.6345 (6.4183) Prec@1 3.125 (1.216) Prec@5 13.281 (4.401)
Epoch: [0][4780/5005] Time 0.453 (0.464) Data 0.000 (0.001) Loss 5.5697 (6.4167) Prec@1 2.734 (1.221) Prec@5 11.719 (4.417)
Epoch: [0][4790/5005] Time 0.457 (0.464) Data 0.000 (0.001) Loss 5.7225 (6.4151) Prec@1 5.859 (1.226) Prec@5 12.891 (4.435)
Epoch: [0][4800/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 5.5279 (6.4134) Prec@1 2.734 (1.232) Prec@5 15.625 (4.454)
Epoch: [0][4810/5005] Time 0.456 (0.464) Data 0.000 (0.001) Loss 5.6137 (6.4117) Prec@1 4.688 (1.239) Prec@5 14.844 (4.473)
Epoch: [0][4820/5005] Time 0.454 (0.464) Data 0.000 (0.001) Loss 5.6259 (6.4100) Prec@1 3.125 (1.244) Prec@5 12.891 (4.491)
Epoch: [0][4830/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.4665 (6.4083) Prec@1 5.078 (1.251) Prec@5 15.625 (4.511)
Epoch: [0][4840/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 5.4511 (6.4065) Prec@1 3.125 (1.257) Prec@5 13.281 (4.528)
Epoch: [0][4850/5005] Time 0.457 (0.464) Data 0.000 (0.001) Loss 5.7547 (6.4048) Prec@1 2.344 (1.262) Prec@5 10.547 (4.547)
Epoch: [0][4860/5005] Time 0.462 (0.464) Data 0.000 (0.001) Loss 5.5285 (6.4031) Prec@1 4.688 (1.268) Prec@5 14.062 (4.565)
Epoch: [0][4870/5005] Time 0.462 (0.464) Data 0.000 (0.001) Loss 5.5122 (6.4014) Prec@1 5.469 (1.274) Prec@5 15.625 (4.584)
Epoch: [0][4880/5005] Time 0.459 (0.464) Data 0.000 (0.001) Loss 5.6215 (6.3999) Prec@1 2.344 (1.279) Prec@5 12.109 (4.602)
Epoch: [0][4890/5005] Time 0.463 (0.464) Data 0.000 (0.001) Loss 5.6709 (6.3985) Prec@1 2.344 (1.284) Prec@5 11.719 (4.616)
Epoch: [0][4900/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 5.6149 (6.3968) Prec@1 3.906 (1.290) Prec@5 15.625 (4.633)
Epoch: [0][4910/5005] Time 0.454 (0.463) Data 0.000 (0.001) Loss 5.8000 (6.3955) Prec@1 3.125 (1.294) Prec@5 9.375 (4.648)
Epoch: [0][4920/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 5.6685 (6.3939) Prec@1 1.172 (1.300) Prec@5 11.328 (4.663)
Epoch: [0][4930/5005] Time 0.464 (0.463) Data 0.000 (0.001) Loss 5.6773 (6.3923) Prec@1 5.469 (1.306) Prec@5 16.406 (4.681)
Epoch: [0][4940/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 5.5833 (6.3906) Prec@1 4.688 (1.313) Prec@5 11.719 (4.700)
Epoch: [0][4950/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 5.6149 (6.3890) Prec@1 3.516 (1.318) Prec@5 10.938 (4.717)
Epoch: [0][4960/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 5.4925 (6.3875) Prec@1 3.906 (1.322) Prec@5 15.234 (4.731)
Epoch: [0][4970/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 5.4715 (6.3860) Prec@1 3.125 (1.327) Prec@5 13.672 (4.748)
Epoch: [0][4980/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 5.5852 (6.3844) Prec@1 3.516 (1.332) Prec@5 14.453 (4.765)
Epoch: [0][4990/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 5.5234 (6.3827) Prec@1 3.516 (1.337) Prec@5 10.547 (4.782)
Epoch: [0][5000/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 5.6145 (6.3812) Prec@1 3.516 (1.344) Prec@5 13.672 (4.799)
Test: [0/196] Time 5.772 (5.772) Loss 4.6115 (4.6115) Prec@1 15.625 (15.625) Prec@5 49.609 (49.609)
Test: [10/196] Time 0.148 (0.661) Loss 5.7869 (5.3433) Prec@1 3.906 (6.499) Prec@5 10.156 (20.916)
Test: [20/196] Time 0.150 (0.418) Loss 5.2665 (5.3392) Prec@1 9.766 (7.217) Prec@5 18.750 (20.164)
Test: [30/196] Time 0.152 (0.337) Loss 5.2505 (5.2663) Prec@1 0.391 (7.447) Prec@5 4.688 (20.514)
Test: [40/196] Time 0.148 (0.292) Loss 5.4422 (5.2692) Prec@1 0.781 (6.136) Prec@5 5.469 (17.654)
Test: [50/196] Time 0.148 (0.265) Loss 4.9954 (5.2117) Prec@1 7.812 (6.074) Prec@5 16.797 (17.586)
Test: [60/196] Time 0.154 (0.246) Loss 5.8044 (5.1991) Prec@1 0.781 (6.000) Prec@5 5.078 (17.540)
Test: [70/196] Time 0.149 (0.233) Loss 5.2692 (5.2040) Prec@1 5.078 (6.222) Prec@5 20.703 (17.727)
Test: [80/196] Time 0.149 (0.223) Loss 5.6985 (5.1963) Prec@1 0.391 (6.226) Prec@5 7.812 (17.921)
Test: [90/196] Time 0.149 (0.215) Loss 6.2250 (5.2397) Prec@1 0.391 (5.855) Prec@5 3.125 (17.153)
Test: [100/196] Time 0.189 (0.209) Loss 5.9420 (5.2511) Prec@1 3.125 (5.844) Prec@5 9.766 (17.257)
Test: [110/196] Time 0.149 (0.204) Loss 5.1544 (5.2551) Prec@1 6.641 (5.778) Prec@5 21.094 (17.261)
Test: [120/196] Time 0.148 (0.199) Loss 5.8816 (5.2708) Prec@1 1.953 (5.698) Prec@5 10.156 (17.168)
Test: [130/196] Time 0.149 (0.196) Loss 5.3286 (5.2701) Prec@1 7.031 (5.800) Prec@5 19.531 (17.283)
Test: [140/196] Time 0.160 (0.193) Loss 5.1883 (5.2844) Prec@1 5.469 (5.859) Prec@5 19.531 (17.174)
Test: [150/196] Time 0.150 (0.190) Loss 5.6474 (5.3003) Prec@1 4.297 (5.782) Prec@5 10.547 (17.006)
Test: [160/196] Time 0.149 (0.187) Loss 5.2195 (5.3114) Prec@1 2.734 (5.677) Prec@5 11.719 (16.843)
Test: [170/196] Time 0.162 (0.186) Loss 4.1040 (5.3204) Prec@1 32.812 (5.633) Prec@5 46.484 (16.628)
Test: [180/196] Time 0.148 (0.184) Loss 4.8210 (5.3273) Prec@1 7.422 (5.635) Prec@5 23.438 (16.540)
Test: [190/196] Time 0.148 (0.182) Loss 4.6511 (5.3052) Prec@1 17.969 (5.849) Prec@5 33.203 (17.138)
* Prec@1 6.004 Prec@5 17.328
Epoch: [1][0/5005] Time 4.306 (4.306) Data 4.108 (4.108) Loss 5.3697 (5.3697) Prec@1 7.422 (7.422) Prec@5 17.188 (17.188)
Epoch: [1][10/5005] Time 0.470 (0.811) Data 0.000 (0.386) Loss 5.5884 (5.5377) Prec@1 4.688 (4.581) Prec@5 12.891 (14.276)
Epoch: [1][20/5005] Time 0.455 (0.653) Data 0.000 (0.225) Loss 5.5713 (5.5305) Prec@1 3.516 (4.520) Prec@5 15.625 (14.751)
Epoch: [1][30/5005] Time 0.459 (0.591) Data 0.000 (0.153) Loss 5.6277 (5.5356) Prec@1 2.344 (4.486) Prec@5 10.156 (14.415)
Epoch: [1][40/5005] Time 0.475 (0.560) Data 0.000 (0.116) Loss 5.6857 (5.5516) Prec@1 4.688 (4.459) Prec@5 12.500 (14.015)
Epoch: [1][50/5005] Time 0.465 (0.540) Data 0.000 (0.093) Loss 5.6094 (5.5584) Prec@1 4.297 (4.427) Prec@5 13.672 (13.902)
Epoch: [1][60/5005] Time 0.467 (0.527) Data 0.001 (0.078) Loss 5.3931 (5.5546) Prec@1 6.641 (4.611) Prec@5 16.406 (13.909)
Epoch: [1][70/5005] Time 0.461 (0.517) Data 0.000 (0.067) Loss 5.6092 (5.5641) Prec@1 2.734 (4.445) Prec@5 11.719 (13.633)
Epoch: [1][80/5005] Time 0.456 (0.510) Data 0.000 (0.059) Loss 5.4794 (5.5620) Prec@1 6.250 (4.490) Prec@5 17.188 (13.701)
Epoch: [1][90/5005] Time 0.452 (0.504) Data 0.000 (0.052) Loss 5.4364 (5.5569) Prec@1 4.297 (4.456) Prec@5 16.016 (13.783)
Epoch: [1][100/5005] Time 0.462 (0.500) Data 0.000 (0.047) Loss 5.6092 (5.5621) Prec@1 3.125 (4.471) Prec@5 13.281 (13.753)
Epoch: [1][110/5005] Time 0.460 (0.496) Data 0.000 (0.043) Loss 5.6107 (5.5550) Prec@1 4.297 (4.529) Prec@5 13.281 (13.806)
Epoch: [1][120/5005] Time 0.452 (0.493) Data 0.000 (0.039) Loss 5.5690 (5.5536) Prec@1 3.516 (4.552) Prec@5 12.500 (13.801)
Epoch: [1][130/5005] Time 0.452 (0.491) Data 0.000 (0.036) Loss 5.5529 (5.5507) Prec@1 5.469 (4.562) Prec@5 14.453 (13.904)
Epoch: [1][140/5005] Time 0.467 (0.489) Data 0.000 (0.034) Loss 5.5041 (5.5455) Prec@1 5.859 (4.577) Prec@5 15.625 (13.963)
Epoch: [1][150/5005] Time 0.463 (0.487) Data 0.000 (0.032) Loss 5.5701 (5.5499) Prec@1 3.906 (4.556) Prec@5 13.281 (13.931)
Epoch: [1][160/5005] Time 0.463 (0.485) Data 0.000 (0.030) Loss 5.5174 (5.5523) Prec@1 1.953 (4.486) Prec@5 13.281 (13.939)
Epoch: [1][170/5005] Time 0.460 (0.484) Data 0.000 (0.028) Loss 5.4179 (5.5511) Prec@1 3.516 (4.496) Prec@5 12.500 (13.971)
Epoch: [1][180/5005] Time 0.465 (0.482) Data 0.000 (0.026) Loss 5.4792 (5.5487) Prec@1 3.906 (4.495) Prec@5 9.375 (13.924)
Epoch: [1][190/5005] Time 0.460 (0.481) Data 0.000 (0.025) Loss 5.4993 (5.5443) Prec@1 6.250 (4.546) Prec@5 15.234 (13.975)
Epoch: [1][200/5005] Time 0.458 (0.480) Data 0.000 (0.024) Loss 5.5405 (5.5423) Prec@1 3.516 (4.559) Prec@5 14.844 (14.024)
Epoch: [1][210/5005] Time 0.459 (0.479) Data 0.000 (0.023) Loss 5.5898 (5.5416) Prec@1 3.125 (4.549) Prec@5 12.500 (13.994)
Epoch: [1][220/5005] Time 0.458 (0.478) Data 0.000 (0.022) Loss 5.4540 (5.5401) Prec@1 5.078 (4.543) Prec@5 15.625 (14.006)
Epoch: [1][230/5005] Time 0.464 (0.477) Data 0.000 (0.021) Loss 5.5360 (5.5383) Prec@1 4.297 (4.573) Prec@5 12.109 (14.039)
Epoch: [1][240/5005] Time 0.462 (0.477) Data 0.000 (0.020) Loss 5.5177 (5.5360) Prec@1 4.297 (4.589) Prec@5 15.234 (14.054)
Epoch: [1][250/5005] Time 0.459 (0.476) Data 0.000 (0.019) Loss 5.3925 (5.5353) Prec@1 5.469 (4.591) Prec@5 18.750 (14.100)
Epoch: [1][260/5005] Time 0.467 (0.475) Data 0.000 (0.018) Loss 5.4812 (5.5342) Prec@1 5.078 (4.587) Prec@5 13.281 (14.085)
Epoch: [1][270/5005] Time 0.457 (0.475) Data 0.000 (0.018) Loss 5.4912 (5.5323) Prec@1 5.859 (4.613) Prec@5 16.016 (14.145)
Epoch: [1][280/5005] Time 0.462 (0.474) Data 0.000 (0.017) Loss 5.5436 (5.5307) Prec@1 3.516 (4.614) Prec@5 13.672 (14.129)
Epoch: [1][290/5005] Time 0.460 (0.474) Data 0.000 (0.017) Loss 5.4809 (5.5281) Prec@1 5.469 (4.622) Prec@5 12.109 (14.166)
Epoch: [1][300/5005] Time 0.463 (0.473) Data 0.000 (0.016) Loss 5.4645 (5.5278) Prec@1 3.125 (4.610) Prec@5 13.672 (14.139)
Epoch: [1][310/5005] Time 0.467 (0.473) Data 0.000 (0.016) Loss 5.5551 (5.5276) Prec@1 3.125 (4.602) Prec@5 11.328 (14.135)
Epoch: [1][320/5005] Time 0.467 (0.473) Data 0.000 (0.015) Loss 5.4119 (5.5248) Prec@1 4.297 (4.605) Prec@5 13.672 (14.140)
Epoch: [1][330/5005] Time 0.462 (0.472) Data 0.000 (0.015) Loss 5.6327 (5.5241) Prec@1 5.469 (4.603) Prec@5 12.109 (14.146)
Epoch: [1][340/5005] Time 0.454 (0.472) Data 0.000 (0.014) Loss 5.3800 (5.5227) Prec@1 4.688 (4.614) Prec@5 13.281 (14.162)
Epoch: [1][350/5005] Time 0.463 (0.471) Data 0.000 (0.014) Loss 5.4656 (5.5213) Prec@1 6.250 (4.613) Prec@5 15.625 (14.173)
Epoch: [1][360/5005] Time 0.461 (0.471) Data 0.000 (0.013) Loss 5.4266 (5.5204) Prec@1 3.516 (4.611) Prec@5 15.625 (14.185)
Epoch: [1][370/5005] Time 0.456 (0.471) Data 0.000 (0.013) Loss 5.4778 (5.5189) Prec@1 5.078 (4.625) Prec@5 16.406 (14.196)
Epoch: [1][380/5005] Time 0.465 (0.470) Data 0.000 (0.013) Loss 5.3669 (5.5171) Prec@1 5.078 (4.660) Prec@5 19.922 (14.248)
Epoch: [1][390/5005] Time 0.456 (0.470) Data 0.000 (0.012) Loss 5.3319 (5.5146) Prec@1 6.641 (4.667) Prec@5 16.406 (14.270)
Epoch: [1][400/5005] Time 0.458 (0.470) Data 0.000 (0.012) Loss 5.4540 (5.5139) Prec@1 3.516 (4.676) Prec@5 15.625 (14.297)
Epoch: [1][410/5005] Time 0.457 (0.470) Data 0.000 (0.012) Loss 5.5880 (5.5127) Prec@1 5.078 (4.683) Prec@5 11.328 (14.316)
Epoch: [1][420/5005] Time 0.462 (0.469) Data 0.000 (0.012) Loss 5.2455 (5.5118) Prec@1 5.859 (4.693) Prec@5 16.406 (14.337)
Epoch: [1][430/5005] Time 0.458 (0.469) Data 0.000 (0.011) Loss 5.4746 (5.5096) Prec@1 5.469 (4.709) Prec@5 18.750 (14.378)
Epoch: [1][440/5005] Time 0.459 (0.469) Data 0.000 (0.011) Loss 5.4749 (5.5070) Prec@1 5.469 (4.723) Prec@5 14.453 (14.416)
Epoch: [1][450/5005] Time 0.453 (0.469) Data 0.000 (0.011) Loss 5.5112 (5.5056) Prec@1 6.641 (4.742) Prec@5 16.016 (14.450)
Epoch: [1][460/5005] Time 0.464 (0.469) Data 0.000 (0.011) Loss 5.4659 (5.5038) Prec@1 7.812 (4.760) Prec@5 20.703 (14.491)
Epoch: [1][470/5005] Time 0.459 (0.468) Data 0.000 (0.010) Loss 5.5686 (5.5037) Prec@1 5.469 (4.755) Prec@5 17.188 (14.494)
Epoch: [1][480/5005] Time 0.467 (0.468) Data 0.000 (0.010) Loss 5.5916 (5.5034) Prec@1 3.516 (4.770) Prec@5 13.281 (14.534)
Epoch: [1][490/5005] Time 0.456 (0.468) Data 0.000 (0.010) Loss 5.4404 (5.5033) Prec@1 4.688 (4.751) Prec@5 17.578 (14.523)
Epoch: [1][500/5005] Time 0.463 (0.468) Data 0.000 (0.010) Loss 5.6726 (5.5023) Prec@1 4.297 (4.762) Prec@5 13.672 (14.537)
Epoch: [1][510/5005] Time 0.461 (0.468) Data 0.000 (0.010) Loss 5.2483 (5.5012) Prec@1 5.859 (4.767) Prec@5 21.484 (14.566)
Epoch: [1][520/5005] Time 0.454 (0.468) Data 0.000 (0.009) Loss 5.5335 (5.4992) Prec@1 4.297 (4.781) Prec@5 11.719 (14.591)
Epoch: [1][530/5005] Time 0.457 (0.467) Data 0.000 (0.009) Loss 5.5808 (5.4981) Prec@1 4.297 (4.804) Prec@5 12.891 (14.630)
Epoch: [1][540/5005] Time 0.465 (0.467) Data 0.000 (0.009) Loss 5.3444 (5.4975) Prec@1 5.078 (4.800) Prec@5 14.844 (14.634)
Epoch: [1][550/5005] Time 0.466 (0.467) Data 0.000 (0.009) Loss 5.3940 (5.4959) Prec@1 3.906 (4.801) Prec@5 15.234 (14.652)
Epoch: [1][560/5005] Time 0.459 (0.467) Data 0.000 (0.009) Loss 5.4514 (5.4945) Prec@1 3.516 (4.817) Prec@5 15.625 (14.676)
Epoch: [1][570/5005] Time 0.460 (0.467) Data 0.000 (0.009) Loss 5.3632 (5.4925) Prec@1 4.688 (4.830) Prec@5 16.016 (14.688)
Epoch: [1][580/5005] Time 0.460 (0.467) Data 0.000 (0.009) Loss 5.4922 (5.4916) Prec@1 3.125 (4.829) Prec@5 14.844 (14.714)
Epoch: [1][590/5005] Time 0.456 (0.467) Data 0.000 (0.008) Loss 5.4643 (5.4902) Prec@1 4.688 (4.841) Prec@5 15.625 (14.735)
Epoch: [1][600/5005] Time 0.463 (0.466) Data 0.000 (0.008) Loss 5.2369 (5.4889) Prec@1 5.078 (4.851) Prec@5 17.188 (14.761)
Epoch: [1][610/5005] Time 0.455 (0.466) Data 0.000 (0.008) Loss 5.4765 (5.4869) Prec@1 5.078 (4.865) Prec@5 14.453 (14.797)
Epoch: [1][620/5005] Time 0.452 (0.466) Data 0.000 (0.008) Loss 5.5148 (5.4858) Prec@1 5.078 (4.866) Prec@5 10.938 (14.811)
Epoch: [1][630/5005] Time 0.458 (0.466) Data 0.000 (0.008) Loss 5.3694 (5.4829) Prec@1 7.812 (4.881) Prec@5 17.969 (14.860)
Epoch: [1][640/5005] Time 0.456 (0.466) Data 0.000 (0.008) Loss 5.2373 (5.4811) Prec@1 4.688 (4.882) Prec@5 18.750 (14.883)
Epoch: [1][650/5005] Time 0.461 (0.466) Data 0.000 (0.008) Loss 5.3422 (5.4806) Prec@1 7.422 (4.888) Prec@5 15.234 (14.883)
Epoch: [1][660/5005] Time 0.466 (0.466) Data 0.000 (0.008) Loss 5.6070 (5.4792) Prec@1 3.906 (4.890) Prec@5 12.891 (14.908)
Epoch: [1][670/5005] Time 0.460 (0.466) Data 0.000 (0.007) Loss 5.5112 (5.4779) Prec@1 5.469 (4.903) Prec@5 14.453 (14.944)
Epoch: [1][680/5005] Time 0.462 (0.466) Data 0.000 (0.007) Loss 5.3522 (5.4762) Prec@1 3.516 (4.912) Prec@5 15.234 (14.969)
Epoch: [1][690/5005] Time 0.462 (0.465) Data 0.000 (0.007) Loss 5.1845 (5.4749) Prec@1 5.469 (4.921) Prec@5 14.844 (14.987)
Epoch: [1][700/5005] Time 0.461 (0.465) Data 0.000 (0.007) Loss 5.3552 (5.4731) Prec@1 7.031 (4.930) Prec@5 20.312 (15.021)
Epoch: [1][710/5005] Time 0.456 (0.465) Data 0.000 (0.007) Loss 5.2766 (5.4716) Prec@1 5.859 (4.931) Prec@5 21.484 (15.049)
Epoch: [1][720/5005] Time 0.457 (0.465) Data 0.000 (0.007) Loss 5.2633 (5.4704) Prec@1 5.469 (4.936) Prec@5 17.188 (15.063)
Epoch: [1][730/5005] Time 0.447 (0.465) Data 0.000 (0.007) Loss 5.4806 (5.4685) Prec@1 4.297 (4.945) Prec@5 14.062 (15.091)
Epoch: [1][740/5005] Time 0.457 (0.465) Data 0.000 (0.007) Loss 5.3545 (5.4672) Prec@1 4.688 (4.957) Prec@5 16.406 (15.121)
Epoch: [1][750/5005] Time 0.456 (0.465) Data 0.000 (0.007) Loss 5.1907 (5.4651) Prec@1 7.422 (4.976) Prec@5 19.141 (15.142)
Epoch: [1][760/5005] Time 0.455 (0.465) Data 0.000 (0.007) Loss 5.3847 (5.4643) Prec@1 5.078 (4.978) Prec@5 16.797 (15.147)
Epoch: [1][770/5005] Time 0.458 (0.465) Data 0.000 (0.007) Loss 5.4021 (5.4633) Prec@1 5.078 (4.986) Prec@5 16.797 (15.171)
Epoch: [1][780/5005] Time 0.462 (0.465) Data 0.000 (0.006) Loss 5.4867 (5.4623) Prec@1 3.906 (4.987) Prec@5 12.500 (15.190)
Epoch: [1][790/5005] Time 0.459 (0.465) Data 0.000 (0.006) Loss 5.1718 (5.4605) Prec@1 6.641 (5.000) Prec@5 16.016 (15.215)
Epoch: [1][800/5005] Time 0.464 (0.465) Data 0.000 (0.006) Loss 5.4733 (5.4591) Prec@1 6.250 (5.002) Prec@5 14.062 (15.234)
Epoch: [1][810/5005] Time 0.460 (0.464) Data 0.000 (0.006) Loss 5.4686 (5.4583) Prec@1 4.688 (5.006) Prec@5 16.797 (15.238)
Epoch: [1][820/5005] Time 0.456 (0.464) Data 0.000 (0.006) Loss 5.3464 (5.4565) Prec@1 7.422 (5.014) Prec@5 19.141 (15.263)
Epoch: [1][830/5005] Time 0.460 (0.464) Data 0.000 (0.006) Loss 5.2276 (5.4550) Prec@1 7.031 (5.025) Prec@5 15.625 (15.270)
Epoch: [1][840/5005] Time 0.457 (0.464) Data 0.000 (0.006) Loss 5.3064 (5.4533) Prec@1 5.859 (5.027) Prec@5 17.188 (15.301)
Epoch: [1][850/5005] Time 0.455 (0.464) Data 0.000 (0.006) Loss 5.2248 (5.4518) Prec@1 6.641 (5.046) Prec@5 17.578 (15.334)
Epoch: [1][860/5005] Time 0.457 (0.464) Data 0.000 (0.006) Loss 5.4463 (5.4517) Prec@1 2.734 (5.045) Prec@5 14.844 (15.345)
Epoch: [1][870/5005] Time 0.460 (0.464) Data 0.000 (0.006) Loss 5.2150 (5.4506) Prec@1 7.812 (5.053) Prec@5 17.969 (15.363)
Epoch: [1][880/5005] Time 0.450 (0.464) Data 0.000 (0.006) Loss 5.3933 (5.4497) Prec@1 5.469 (5.059) Prec@5 14.062 (15.375)
Epoch: [1][890/5005] Time 0.458 (0.464) Data 0.000 (0.006) Loss 5.2228 (5.4480) Prec@1 6.250 (5.059) Prec@5 18.750 (15.391)
Epoch: [1][900/5005] Time 0.456 (0.464) Data 0.001 (0.006) Loss 5.3909 (5.4475) Prec@1 4.297 (5.072) Prec@5 16.406 (15.419)
Epoch: [1][910/5005] Time 0.457 (0.464) Data 0.000 (0.006) Loss 5.4450 (5.4466) Prec@1 5.078 (5.079) Prec@5 13.672 (15.432)
Epoch: [1][920/5005] Time 0.462 (0.464) Data 0.000 (0.006) Loss 5.3170 (5.4451) Prec@1 7.422 (5.092) Prec@5 18.359 (15.454)
Epoch: [1][930/5005] Time 0.462 (0.464) Data 0.000 (0.005) Loss 5.2912 (5.4431) Prec@1 5.859 (5.104) Prec@5 18.750 (15.478)
Epoch: [1][940/5005] Time 0.456 (0.464) Data 0.000 (0.005) Loss 5.2168 (5.4416) Prec@1 7.422 (5.111) Prec@5 18.359 (15.493)
Epoch: [1][950/5005] Time 0.463 (0.464) Data 0.000 (0.005) Loss 5.2919 (5.4406) Prec@1 7.031 (5.117) Prec@5 19.531 (15.511)
Epoch: [1][960/5005] Time 0.462 (0.464) Data 0.000 (0.005) Loss 5.4029 (5.4399) Prec@1 6.250 (5.121) Prec@5 18.359 (15.522)
Epoch: [1][970/5005] Time 0.461 (0.464) Data 0.000 (0.005) Loss 5.3373 (5.4390) Prec@1 3.906 (5.136) Prec@5 18.359 (15.549)
Epoch: [1][980/5005] Time 0.462 (0.464) Data 0.000 (0.005) Loss 5.5019 (5.4382) Prec@1 5.078 (5.141) Prec@5 17.188 (15.564)
Epoch: [1][990/5005] Time 0.459 (0.463) Data 0.000 (0.005) Loss 5.3344 (5.4375) Prec@1 5.469 (5.150) Prec@5 21.094 (15.585)
Epoch: [1][1000/5005] Time 0.464 (0.463) Data 0.000 (0.005) Loss 5.3014 (5.4366) Prec@1 5.469 (5.153) Prec@5 16.406 (15.597)
Epoch: [1][1010/5005] Time 0.457 (0.463) Data 0.000 (0.005) Loss 5.4144 (5.4353) Prec@1 3.516 (5.164) Prec@5 17.188 (15.619)
Epoch: [1][1020/5005] Time 0.466 (0.463) Data 0.000 (0.005) Loss 5.5747 (5.4346) Prec@1 5.859 (5.179) Prec@5 17.188 (15.646)
Epoch: [1][1030/5005] Time 0.459 (0.463) Data 0.000 (0.005) Loss 5.2623 (5.4338) Prec@1 5.078 (5.187) Prec@5 19.531 (15.672)
Epoch: [1][1040/5005] Time 0.458 (0.463) Data 0.000 (0.005) Loss 5.3055 (5.4333) Prec@1 8.594 (5.201) Prec@5 21.094 (15.691)
Epoch: [1][1050/5005] Time 0.458 (0.463) Data 0.000 (0.005) Loss 5.3312 (5.4325) Prec@1 5.469 (5.216) Prec@5 16.797 (15.711)
Epoch: [1][1060/5005] Time 0.459 (0.463) Data 0.000 (0.005) Loss 5.1246 (5.4316) Prec@1 8.594 (5.225) Prec@5 20.312 (15.717)
Epoch: [1][1070/5005] Time 0.458 (0.463) Data 0.000 (0.005) Loss 5.2811 (5.4309) Prec@1 5.078 (5.229) Prec@5 18.750 (15.725)
Epoch: [1][1080/5005] Time 0.462 (0.463) Data 0.000 (0.005) Loss 5.2076 (5.4299) Prec@1 8.984 (5.236) Prec@5 16.797 (15.738)
Epoch: [1][1090/5005] Time 0.455 (0.463) Data 0.000 (0.005) Loss 5.3632 (5.4285) Prec@1 5.469 (5.246) Prec@5 19.531 (15.764)
Epoch: [1][1100/5005] Time 0.457 (0.463) Data 0.000 (0.005) Loss 5.4602 (5.4272) Prec@1 5.078 (5.254) Prec@5 16.016 (15.781)
Epoch: [1][1110/5005] Time 0.456 (0.463) Data 0.000 (0.005) Loss 5.2290 (5.4263) Prec@1 7.422 (5.267) Prec@5 19.141 (15.808)
Epoch: [1][1120/5005] Time 0.462 (0.463) Data 0.000 (0.005) Loss 5.1774 (5.4254) Prec@1 5.469 (5.275) Prec@5 18.359 (15.826)
Epoch: [1][1130/5005] Time 0.456 (0.463) Data 0.000 (0.005) Loss 5.3780 (5.4244) Prec@1 7.422 (5.278) Prec@5 18.359 (15.841)
Epoch: [1][1140/5005] Time 0.459 (0.463) Data 0.000 (0.005) Loss 5.1215 (5.4230) Prec@1 8.203 (5.286) Prec@5 22.266 (15.855)
Epoch: [1][1150/5005] Time 0.455 (0.463) Data 0.000 (0.005) Loss 5.2901 (5.4214) Prec@1 7.812 (5.306) Prec@5 21.094 (15.883)
Epoch: [1][1160/5005] Time 0.461 (0.463) Data 0.000 (0.004) Loss 5.3871 (5.4206) Prec@1 3.516 (5.314) Prec@5 13.672 (15.896)
Epoch: [1][1170/5005] Time 0.459 (0.463) Data 0.000 (0.004) Loss 5.5280 (5.4198) Prec@1 3.906 (5.321) Prec@5 16.406 (15.905)
Epoch: [1][1180/5005] Time 0.454 (0.463) Data 0.000 (0.004) Loss 5.2658 (5.4183) Prec@1 7.812 (5.335) Prec@5 16.797 (15.928)
Epoch: [1][1190/5005] Time 0.454 (0.463) Data 0.007 (0.004) Loss 5.3643 (5.4171) Prec@1 8.203 (5.351) Prec@5 17.578 (15.953)
Epoch: [1][1200/5005] Time 0.459 (0.463) Data 0.000 (0.004) Loss 5.1411 (5.4163) Prec@1 7.812 (5.356) Prec@5 21.094 (15.969)
Epoch: [1][1210/5005] Time 0.456 (0.463) Data 0.000 (0.004) Loss 5.2627 (5.4153) Prec@1 5.859 (5.359) Prec@5 17.188 (15.987)
Epoch: [1][1220/5005] Time 0.460 (0.463) Data 0.000 (0.004) Loss 5.0365 (5.4142) Prec@1 5.859 (5.367) Prec@5 21.875 (16.004)
Epoch: [1][1230/5005] Time 0.460 (0.463) Data 0.001 (0.004) Loss 5.2771 (5.4126) Prec@1 5.078 (5.377) Prec@5 20.703 (16.039)
Epoch: [1][1240/5005] Time 0.452 (0.463) Data 0.000 (0.004) Loss 5.2277 (5.4112) Prec@1 6.250 (5.388) Prec@5 16.797 (16.058)
Epoch: [1][1250/5005] Time 0.459 (0.462) Data 0.000 (0.004) Loss 5.4090 (5.4105) Prec@1 5.469 (5.391) Prec@5 17.188 (16.076)
Epoch: [1][1260/5005] Time 0.461 (0.462) Data 0.000 (0.004) Loss 5.3411 (5.4099) Prec@1 5.859 (5.393) Prec@5 18.359 (16.092)
Epoch: [1][1270/5005] Time 0.460 (0.462) Data 0.000 (0.004) Loss 5.2216 (5.4084) Prec@1 7.031 (5.403) Prec@5 19.922 (16.113)
Epoch: [1][1280/5005] Time 0.459 (0.462) Data 0.000 (0.004) Loss 5.1787 (5.4073) Prec@1 5.469 (5.410) Prec@5 19.531 (16.126)
Epoch: [1][1290/5005] Time 0.460 (0.462) Data 0.000 (0.004) Loss 5.2611 (5.4061) Prec@1 5.859 (5.417) Prec@5 16.797 (16.142)
Epoch: [1][1300/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 5.1131 (5.4048) Prec@1 9.766 (5.425) Prec@5 21.484 (16.160)
Epoch: [1][1310/5005] Time 0.455 (0.462) Data 0.000 (0.004) Loss 5.1621 (5.4033) Prec@1 3.125 (5.428) Prec@5 18.359 (16.177)
Epoch: [1][1320/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 5.2406 (5.4021) Prec@1 7.422 (5.440) Prec@5 20.312 (16.203)
Epoch: [1][1330/5005] Time 0.460 (0.462) Data 0.000 (0.004) Loss 5.2644 (5.4013) Prec@1 5.078 (5.440) Prec@5 19.531 (16.213)
Epoch: [1][1340/5005] Time 0.462 (0.462) Data 0.000 (0.004) Loss 5.2135 (5.4006) Prec@1 7.031 (5.441) Prec@5 17.188 (16.220)
Epoch: [1][1350/5005] Time 0.464 (0.462) Data 0.000 (0.004) Loss 5.2149 (5.3991) Prec@1 8.203 (5.452) Prec@5 19.141 (16.252)
Epoch: [1][1360/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 5.3509 (5.3979) Prec@1 6.250 (5.464) Prec@5 16.016 (16.274)
Epoch: [1][1370/5005] Time 0.462 (0.462) Data 0.000 (0.004) Loss 5.2801 (5.3967) Prec@1 6.250 (5.472) Prec@5 16.406 (16.301)
Epoch: [1][1380/5005] Time 0.456 (0.462) Data 0.000 (0.004) Loss 5.3940 (5.3958) Prec@1 6.641 (5.484) Prec@5 16.797 (16.320)
Epoch: [1][1390/5005] Time 0.455 (0.462) Data 0.000 (0.004) Loss 5.2375 (5.3945) Prec@1 7.422 (5.490) Prec@5 18.750 (16.344)
Epoch: [1][1400/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 5.1908 (5.3937) Prec@1 9.375 (5.495) Prec@5 23.828 (16.361)
Epoch: [1][1410/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 5.1994 (5.3923) Prec@1 5.078 (5.502) Prec@5 19.531 (16.381)
Epoch: [1][1420/5005] Time 0.463 (0.462) Data 0.000 (0.004) Loss 5.5344 (5.3910) Prec@1 6.250 (5.511) Prec@5 17.188 (16.403)
Epoch: [1][1430/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 5.3005 (5.3898) Prec@1 5.078 (5.520) Prec@5 17.188 (16.427)
Epoch: [1][1440/5005] Time 0.459 (0.462) Data 0.000 (0.004) Loss 5.3251 (5.3888) Prec@1 1.953 (5.518) Prec@5 13.281 (16.440)
Epoch: [1][1450/5005] Time 0.453 (0.462) Data 0.000 (0.004) Loss 5.1332 (5.3878) Prec@1 4.297 (5.522) Prec@5 20.312 (16.459)
Epoch: [1][1460/5005] Time 0.454 (0.462) Data 0.000 (0.004) Loss 5.1197 (5.3866) Prec@1 9.375 (5.534) Prec@5 26.953 (16.480)
Epoch: [1][1470/5005] Time 0.467 (0.462) Data 0.000 (0.004) Loss 5.1883 (5.3859) Prec@1 7.031 (5.545) Prec@5 18.359 (16.500)
Epoch: [1][1480/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 5.2698 (5.3845) Prec@1 4.688 (5.553) Prec@5 16.406 (16.516)
Epoch: [1][1490/5005] Time 0.462 (0.462) Data 0.000 (0.004) Loss 5.0307 (5.3832) Prec@1 6.250 (5.568) Prec@5 21.484 (16.542)
Epoch: [1][1500/5005] Time 0.459 (0.462) Data 0.000 (0.004) Loss 5.1722 (5.3820) Prec@1 6.641 (5.578) Prec@5 23.438 (16.563)
Epoch: [1][1510/5005] Time 0.459 (0.462) Data 0.000 (0.004) Loss 5.2626 (5.3811) Prec@1 6.250 (5.584) Prec@5 19.141 (16.575)
Epoch: [1][1520/5005] Time 0.464 (0.462) Data 0.000 (0.004) Loss 5.0620 (5.3802) Prec@1 7.422 (5.595) Prec@5 19.141 (16.588)
Epoch: [1][1530/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 5.2465 (5.3788) Prec@1 5.859 (5.602) Prec@5 22.266 (16.614)
Epoch: [1][1540/5005] Time 0.452 (0.462) Data 0.000 (0.003) Loss 5.1162 (5.3776) Prec@1 8.984 (5.614) Prec@5 23.828 (16.636)
Epoch: [1][1550/5005] Time 0.463 (0.462) Data 0.000 (0.003) Loss 5.2246 (5.3763) Prec@1 8.203 (5.623) Prec@5 17.969 (16.659)
Epoch: [1][1560/5005] Time 0.454 (0.462) Data 0.000 (0.003) Loss 5.1713 (5.3747) Prec@1 5.078 (5.634) Prec@5 23.438 (16.689)
Epoch: [1][1570/5005] Time 0.463 (0.462) Data 0.000 (0.003) Loss 4.8621 (5.3728) Prec@1 12.500 (5.653) Prec@5 28.125 (16.727)
Epoch: [1][1580/5005] Time 0.455 (0.462) Data 0.000 (0.003) Loss 5.1232 (5.3716) Prec@1 7.031 (5.660) Prec@5 22.266 (16.754)
Epoch: [1][1590/5005] Time 0.455 (0.462) Data 0.001 (0.003) Loss 5.2845 (5.3701) Prec@1 6.250 (5.671) Prec@5 18.359 (16.780)
Epoch: [1][1600/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 5.3286 (5.3693) Prec@1 6.250 (5.676) Prec@5 18.359 (16.799)
Epoch: [1][1610/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 5.1766 (5.3683) Prec@1 6.641 (5.687) Prec@5 19.922 (16.818)
Epoch: [1][1620/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 5.2279 (5.3673) Prec@1 5.859 (5.693) Prec@5 18.359 (16.830)
Epoch: [1][1630/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 5.1000 (5.3666) Prec@1 6.641 (5.700) Prec@5 23.047 (16.851)
Epoch: [1][1640/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 5.1159 (5.3653) Prec@1 9.766 (5.714) Prec@5 18.750 (16.876)
Epoch: [1][1650/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 5.1929 (5.3642) Prec@1 6.250 (5.720) Prec@5 17.969 (16.897)
Epoch: [1][1660/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 5.2244 (5.3629) Prec@1 6.641 (5.730) Prec@5 16.797 (16.915)
Epoch: [1][1670/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 5.0056 (5.3617) Prec@1 6.641 (5.737) Prec@5 25.781 (16.935)
Epoch: [1][1680/5005] Time 0.454 (0.462) Data 0.000 (0.003) Loss 5.1487 (5.3605) Prec@1 7.031 (5.749) Prec@5 19.531 (16.962)
Epoch: [1][1690/5005] Time 0.454 (0.462) Data 0.000 (0.003) Loss 5.0745 (5.3596) Prec@1 7.422 (5.755) Prec@5 21.094 (16.973)
Epoch: [1][1700/5005] Time 0.455 (0.462) Data 0.000 (0.003) Loss 5.1929 (5.3585) Prec@1 7.031 (5.766) Prec@5 16.016 (16.986)
Epoch: [1][1710/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 5.2123 (5.3575) Prec@1 8.203 (5.777) Prec@5 19.531 (17.003)
Epoch: [1][1720/5005] Time 0.456 (0.462) Data 0.000 (0.003) Loss 5.2192 (5.3560) Prec@1 7.812 (5.787) Prec@5 18.750 (17.029)
Epoch: [1][1730/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 5.3328 (5.3548) Prec@1 6.641 (5.800) Prec@5 20.312 (17.053)
Epoch: [1][1740/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 4.9551 (5.3536) Prec@1 9.766 (5.807) Prec@5 21.875 (17.069)
Epoch: [1][1750/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 5.3686 (5.3529) Prec@1 5.469 (5.812) Prec@5 17.969 (17.079)
Epoch: [1][1760/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 5.1314 (5.3518) Prec@1 7.422 (5.818) Prec@5 20.312 (17.099)
Epoch: [1][1770/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 5.1327 (5.3511) Prec@1 7.422 (5.825) Prec@5 21.484 (17.111)
Epoch: [1][1780/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 5.2897 (5.3499) Prec@1 5.078 (5.830) Prec@5 20.312 (17.132)
Epoch: [1][1790/5005] Time 0.462 (0.461) Data 0.000 (0.003) Loss 4.9988 (5.3486) Prec@1 7.422 (5.840) Prec@5 21.875 (17.156)
Epoch: [1][1800/5005] Time 0.455 (0.461) Data 0.000 (0.003) Loss 5.1912 (5.3474) Prec@1 6.250 (5.844) Prec@5 18.359 (17.171)
Epoch: [1][1810/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 5.2291 (5.3464) Prec@1 8.984 (5.854) Prec@5 22.266 (17.189)
Epoch: [1][1820/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 5.3497 (5.3451) Prec@1 8.594 (5.868) Prec@5 17.969 (17.211)
Epoch: [1][1830/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 5.1358 (5.3442) Prec@1 10.156 (5.873) Prec@5 21.875 (17.224)
Epoch: [1][1840/5005] Time 0.452 (0.461) Data 0.000 (0.003) Loss 4.9958 (5.3432) Prec@1 7.031 (5.878) Prec@5 21.484 (17.237)
Epoch: [1][1850/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 5.1767 (5.3425) Prec@1 6.250 (5.883) Prec@5 22.266 (17.249)
Epoch: [1][1860/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 5.2095 (5.3411) Prec@1 5.078 (5.893) Prec@5 17.188 (17.274)
Epoch: [1][1870/5005] Time 0.455 (0.461) Data 0.000 (0.003) Loss 5.1101 (5.3404) Prec@1 7.422 (5.894) Prec@5 19.531 (17.282)
Epoch: [1][1880/5005] Time 0.454 (0.461) Data 0.000 (0.003) Loss 5.1441 (5.3394) Prec@1 7.422 (5.897) Prec@5 20.703 (17.295)
Epoch: [1][1890/5005] Time 0.454 (0.461) Data 0.000 (0.003) Loss 5.2458 (5.3385) Prec@1 4.688 (5.903) Prec@5 17.969 (17.309)
Epoch: [1][1900/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 5.1432 (5.3373) Prec@1 7.422 (5.913) Prec@5 20.312 (17.335)
Epoch: [1][1910/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 5.1005 (5.3363) Prec@1 8.984 (5.924) Prec@5 21.094 (17.357)
Epoch: [1][1920/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 5.1607 (5.3353) Prec@1 7.422 (5.935) Prec@5 18.359 (17.379)
Epoch: [1][1930/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 5.2640 (5.3341) Prec@1 7.422 (5.943) Prec@5 21.484 (17.402)
Epoch: [1][1940/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 4.9060 (5.3329) Prec@1 8.594 (5.955) Prec@5 25.000 (17.424)
Epoch: [1][1950/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 5.0735 (5.3318) Prec@1 8.203 (5.965) Prec@5 22.266 (17.447)
Epoch: [1][1960/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 5.1485 (5.3305) Prec@1 9.766 (5.976) Prec@5 21.484 (17.474)
Epoch: [1][1970/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 5.0746 (5.3292) Prec@1 5.078 (5.983) Prec@5 17.578 (17.493)
Epoch: [1][1980/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 4.9581 (5.3277) Prec@1 8.594 (5.992) Prec@5 27.344 (17.514)
Epoch: [1][1990/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 5.1791 (5.3266) Prec@1 7.031 (6.004) Prec@5 17.969 (17.531)
Epoch: [1][2000/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 4.9878 (5.3253) Prec@1 9.375 (6.011) Prec@5 19.531 (17.547)
Epoch: [1][2010/5005] Time 0.464 (0.461) Data 0.000 (0.003) Loss 5.0313 (5.3242) Prec@1 8.984 (6.020) Prec@5 23.828 (17.569)
Epoch: [1][2020/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 5.1689 (5.3234) Prec@1 10.938 (6.029) Prec@5 22.656 (17.587)
Epoch: [1][2030/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 5.2747 (5.3225) Prec@1 6.250 (6.034) Prec@5 20.703 (17.606)
Epoch: [1][2040/5005] Time 0.462 (0.461) Data 0.000 (0.003) Loss 5.1344 (5.3214) Prec@1 7.031 (6.038) Prec@5 18.750 (17.621)
Epoch: [1][2050/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 5.1004 (5.3201) Prec@1 7.422 (6.044) Prec@5 20.703 (17.641)
Epoch: [1][2060/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 5.0187 (5.3191) Prec@1 8.984 (6.055) Prec@5 23.828 (17.654)
Epoch: [1][2070/5005] Time 0.458 (0.461) Data 0.001 (0.003) Loss 5.0449 (5.3178) Prec@1 11.328 (6.066) Prec@5 24.609 (17.674)
Epoch: [1][2080/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 4.9801 (5.3167) Prec@1 7.812 (6.074) Prec@5 23.828 (17.692)
Epoch: [1][2090/5005] Time 0.455 (0.461) Data 0.000 (0.003) Loss 4.9081 (5.3155) Prec@1 8.203 (6.080) Prec@5 23.438 (17.714)
Epoch: [1][2100/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 5.2431 (5.3144) Prec@1 4.688 (6.089) Prec@5 17.188 (17.726)
Epoch: [1][2110/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 5.0689 (5.3134) Prec@1 11.719 (6.097) Prec@5 23.828 (17.740)
Epoch: [1][2120/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 4.9443 (5.3123) Prec@1 8.594 (6.105) Prec@5 22.266 (17.761)
Epoch: [1][2130/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 5.0470 (5.3111) Prec@1 8.984 (6.114) Prec@5 22.266 (17.782)
Epoch: [1][2140/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 5.1064 (5.3102) Prec@1 7.422 (6.124) Prec@5 21.484 (17.802)
Epoch: [1][2150/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 4.9956 (5.3092) Prec@1 8.594 (6.134) Prec@5 21.094 (17.819)
Epoch: [1][2160/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 5.0561 (5.3081) Prec@1 6.641 (6.142) Prec@5 21.875 (17.838)
Epoch: [1][2170/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 4.9909 (5.3068) Prec@1 9.766 (6.155) Prec@5 23.828 (17.862)
Epoch: [1][2180/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 5.0094 (5.3057) Prec@1 8.594 (6.166) Prec@5 23.438 (17.880)
Epoch: [1][2190/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 4.8923 (5.3041) Prec@1 8.203 (6.177) Prec@5 23.047 (17.913)
Epoch: [1][2200/5005] Time 0.465 (0.461) Data 0.000 (0.003) Loss 5.2362 (5.3030) Prec@1 7.422 (6.184) Prec@5 19.141 (17.931)
Epoch: [1][2210/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 5.2123 (5.3022) Prec@1 6.641 (6.188) Prec@5 17.188 (17.943)
Epoch: [1][2220/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 5.0626 (5.3014) Prec@1 6.250 (6.191) Prec@5 19.922 (17.951)
Epoch: [1][2230/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 4.9930 (5.3002) Prec@1 8.203 (6.203) Prec@5 23.828 (17.974)
Epoch: [1][2240/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 5.1679 (5.2990) Prec@1 7.031 (6.212) Prec@5 17.969 (17.993)
Epoch: [1][2250/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 4.8101 (5.2974) Prec@1 9.375 (6.222) Prec@5 27.344 (18.018)
Epoch: [1][2260/5005] Time 0.463 (0.461) Data 0.001 (0.003) Loss 5.1468 (5.2965) Prec@1 6.641 (6.228) Prec@5 21.094 (18.038)
Epoch: [1][2270/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 5.1319 (5.2952) Prec@1 8.594 (6.239) Prec@5 23.438 (18.062)
Epoch: [1][2280/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 5.0854 (5.2940) Prec@1 8.203 (6.248) Prec@5 23.828 (18.086)
Epoch: [1][2290/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 5.1327 (5.2929) Prec@1 5.859 (6.258) Prec@5 17.188 (18.103)
Epoch: [1][2300/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 4.9430 (5.2915) Prec@1 8.984 (6.265) Prec@5 26.172 (18.126)
Epoch: [1][2310/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 5.0976 (5.2904) Prec@1 7.812 (6.277) Prec@5 20.703 (18.148)
Epoch: [1][2320/5005] Time 0.452 (0.461) Data 0.000 (0.002) Loss 5.0014 (5.2894) Prec@1 8.984 (6.288) Prec@5 18.359 (18.169)
Epoch: [1][2330/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 5.0988 (5.2882) Prec@1 10.547 (6.297) Prec@5 22.656 (18.188)
Epoch: [1][2340/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 5.2452 (5.2872) Prec@1 7.031 (6.303) Prec@5 20.703 (18.203)
Epoch: [1][2350/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 4.9311 (5.2859) Prec@1 10.547 (6.314) Prec@5 24.609 (18.225)
Epoch: [1][2360/5005] Time 0.466 (0.461) Data 0.000 (0.002) Loss 5.1354 (5.2851) Prec@1 10.547 (6.324) Prec@5 25.000 (18.237)
Epoch: [1][2370/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 4.8124 (5.2839) Prec@1 10.156 (6.334) Prec@5 27.344 (18.258)
Epoch: [1][2380/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 5.1704 (5.2832) Prec@1 7.422 (6.340) Prec@5 21.875 (18.275)
Epoch: [1][2390/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 4.9687 (5.2823) Prec@1 10.938 (6.347) Prec@5 26.562 (18.292)
Epoch: [1][2400/5005] Time 0.466 (0.461) Data 0.000 (0.002) Loss 5.1661 (5.2816) Prec@1 6.250 (6.353) Prec@5 22.266 (18.303)
Epoch: [1][2410/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 4.9719 (5.2807) Prec@1 6.250 (6.358) Prec@5 21.875 (18.318)
Epoch: [1][2420/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 5.0536 (5.2798) Prec@1 7.422 (6.367) Prec@5 21.875 (18.332)
Epoch: [1][2430/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 4.9877 (5.2791) Prec@1 6.641 (6.373) Prec@5 24.609 (18.349)
Epoch: [1][2440/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 4.9089 (5.2781) Prec@1 8.203 (6.381) Prec@5 24.219 (18.362)
Epoch: [1][2450/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 5.0488 (5.2773) Prec@1 9.375 (6.389) Prec@5 19.141 (18.380)
Epoch: [1][2460/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 4.7490 (5.2765) Prec@1 10.938 (6.397) Prec@5 28.516 (18.398)
Epoch: [1][2470/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 5.2317 (5.2756) Prec@1 7.031 (6.402) Prec@5 18.750 (18.414)
Epoch: [1][2480/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 5.0476 (5.2747) Prec@1 7.812 (6.409) Prec@5 23.047 (18.428)
Epoch: [1][2490/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 4.9979 (5.2739) Prec@1 7.031 (6.416) Prec@5 23.047 (18.445)
Epoch: [1][2500/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 5.0429 (5.2726) Prec@1 6.250 (6.429) Prec@5 23.828 (18.472)
Epoch: [1][2510/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 5.1022 (5.2717) Prec@1 7.031 (6.435) Prec@5 20.703 (18.491)
Epoch: [1][2520/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 5.2409 (5.2707) Prec@1 8.594 (6.440) Prec@5 23.828 (18.512)
Epoch: [1][2530/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 5.0741 (5.2699) Prec@1 8.594 (6.448) Prec@5 20.312 (18.526)
Epoch: [1][2540/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 5.1660 (5.2692) Prec@1 7.422 (6.456) Prec@5 18.359 (18.538)
Epoch: [1][2550/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 5.0858 (5.2683) Prec@1 9.375 (6.462) Prec@5 23.047 (18.553)
Epoch: [1][2560/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 5.0188 (5.2676) Prec@1 9.375 (6.470) Prec@5 20.312 (18.567)
Epoch: [1][2570/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 4.8746 (5.2664) Prec@1 10.156 (6.478) Prec@5 25.391 (18.587)
Epoch: [1][2580/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 5.0278 (5.2653) Prec@1 11.328 (6.489) Prec@5 25.000 (18.606)
Epoch: [1][2590/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 4.9840 (5.2642) Prec@1 7.812 (6.501) Prec@5 21.094 (18.625)
Epoch: [1][2600/5005] Time 0.457 (0.461) Data 0.001 (0.002) Loss 4.8328 (5.2633) Prec@1 10.547 (6.506) Prec@5 29.297 (18.642)
Epoch: [1][2610/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 4.9110 (5.2622) Prec@1 10.156 (6.514) Prec@5 24.219 (18.662)
Epoch: [1][2620/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 4.8360 (5.2609) Prec@1 10.547 (6.523) Prec@5 25.391 (18.682)
Epoch: [1][2630/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 5.1174 (5.2601) Prec@1 6.641 (6.529) Prec@5 23.047 (18.698)
Epoch: [1][2640/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 4.8554 (5.2589) Prec@1 10.156 (6.537) Prec@5 24.219 (18.720)
Epoch: [1][2650/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 5.0657 (5.2579) Prec@1 7.812 (6.544) Prec@5 20.703 (18.735)
Epoch: [1][2660/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 5.1001 (5.2572) Prec@1 5.078 (6.551) Prec@5 20.703 (18.745)
Epoch: [1][2670/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 4.9280 (5.2562) Prec@1 10.547 (6.558) Prec@5 25.391 (18.766)
Epoch: [1][2680/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 4.8495 (5.2552) Prec@1 10.156 (6.569) Prec@5 25.391 (18.788)
Epoch: [1][2690/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 4.9668 (5.2543) Prec@1 6.641 (6.576) Prec@5 26.562 (18.802)
Epoch: [1][2700/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 4.9604 (5.2536) Prec@1 7.031 (6.582) Prec@5 24.219 (18.813)
Epoch: [1][2710/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 4.9022 (5.2523) Prec@1 8.984 (6.589) Prec@5 23.828 (18.835)
Epoch: [1][2720/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 5.1026 (5.2515) Prec@1 9.375 (6.596) Prec@5 21.875 (18.850)
Epoch: [1][2730/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 4.6379 (5.2503) Prec@1 12.891 (6.606) Prec@5 28.125 (18.866)
Epoch: [1][2740/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 5.1274 (5.2493) Prec@1 5.859 (6.611) Prec@5 17.969 (18.878)
Epoch: [1][2750/5005] Time 0.448 (0.461) Data 0.000 (0.002) Loss 4.8226 (5.2482) Prec@1 14.062 (6.624) Prec@5 23.828 (18.895)
Epoch: [1][2760/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 4.8591 (5.2471) Prec@1 7.812 (6.633) Prec@5 26.953 (18.917)
Epoch: [1][2770/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 4.8813 (5.2463) Prec@1 10.938 (6.639) Prec@5 24.609 (18.935)
Epoch: [1][2780/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 4.9962 (5.2453) Prec@1 9.375 (6.649) Prec@5 22.656 (18.948)
Epoch: [1][2790/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 4.9420 (5.2442) Prec@1 7.031 (6.660) Prec@5 20.312 (18.965)
Epoch: [1][2800/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 4.9382 (5.2432) Prec@1 11.328 (6.670) Prec@5 25.391 (18.985)
Epoch: [1][2810/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 4.9176 (5.2422) Prec@1 9.766 (6.677) Prec@5 23.828 (19.002)
Epoch: [1][2820/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.9051 (5.2413) Prec@1 9.375 (6.686) Prec@5 23.438 (19.019)
Epoch: [1][2830/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 5.2667 (5.2405) Prec@1 5.859 (6.689) Prec@5 18.750 (19.031)
Epoch: [1][2840/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 5.0043 (5.2393) Prec@1 10.938 (6.699) Prec@5 22.656 (19.051)
Epoch: [1][2850/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.9566 (5.2384) Prec@1 9.766 (6.705) Prec@5 23.047 (19.064)
Epoch: [1][2860/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 5.0575 (5.2375) Prec@1 10.156 (6.712) Prec@5 23.438 (19.079)
Epoch: [1][2870/5005] Time 0.452 (0.460) Data 0.000 (0.002) Loss 4.8476 (5.2364) Prec@1 11.719 (6.724) Prec@5 25.000 (19.099)
Epoch: [1][2880/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.9848 (5.2355) Prec@1 9.375 (6.732) Prec@5 20.703 (19.116)
Epoch: [1][2890/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.9387 (5.2343) Prec@1 6.250 (6.743) Prec@5 28.906 (19.136)
Epoch: [1][2900/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.9191 (5.2331) Prec@1 7.031 (6.755) Prec@5 25.000 (19.161)
Epoch: [1][2910/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 4.9791 (5.2321) Prec@1 9.766 (6.760) Prec@5 25.000 (19.173)
Epoch: [1][2920/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 5.0031 (5.2308) Prec@1 6.641 (6.772) Prec@5 24.219 (19.195)
Epoch: [1][2930/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 5.0135 (5.2297) Prec@1 7.422 (6.778) Prec@5 23.438 (19.218)
Epoch: [1][2940/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.9859 (5.2287) Prec@1 10.938 (6.791) Prec@5 21.484 (19.235)
Epoch: [1][2950/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 5.0338 (5.2277) Prec@1 5.078 (6.796) Prec@5 21.094 (19.252)
Epoch: [1][2960/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.8476 (5.2269) Prec@1 11.328 (6.804) Prec@5 29.297 (19.268)
Epoch: [1][2970/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.9645 (5.2261) Prec@1 12.109 (6.815) Prec@5 25.781 (19.286)
Epoch: [1][2980/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.8666 (5.2251) Prec@1 9.766 (6.823) Prec@5 23.438 (19.304)
Epoch: [1][2990/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 5.0013 (5.2238) Prec@1 10.547 (6.837) Prec@5 19.531 (19.328)
Epoch: [1][3000/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.8523 (5.2228) Prec@1 10.156 (6.845) Prec@5 25.000 (19.349)
Epoch: [1][3010/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.8761 (5.2216) Prec@1 9.766 (6.857) Prec@5 25.391 (19.374)
Epoch: [1][3020/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.8468 (5.2205) Prec@1 8.984 (6.867) Prec@5 25.000 (19.395)
Epoch: [1][3030/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.9168 (5.2198) Prec@1 9.766 (6.874) Prec@5 26.562 (19.409)
Epoch: [1][3040/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.9505 (5.2187) Prec@1 10.156 (6.882) Prec@5 28.125 (19.428)
Epoch: [1][3050/5005] Time 0.460 (0.460) Data 0.001 (0.002) Loss 4.8733 (5.2177) Prec@1 9.375 (6.891) Prec@5 27.344 (19.450)
Epoch: [1][3060/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.7805 (5.2168) Prec@1 6.641 (6.900) Prec@5 24.609 (19.467)
Epoch: [1][3070/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 5.1230 (5.2159) Prec@1 8.594 (6.909) Prec@5 23.047 (19.484)
Epoch: [1][3080/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.9143 (5.2149) Prec@1 10.547 (6.916) Prec@5 25.391 (19.499)
Epoch: [1][3090/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.9839 (5.2141) Prec@1 7.031 (6.921) Prec@5 22.266 (19.512)
Epoch: [1][3100/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.9400 (5.2129) Prec@1 11.719 (6.929) Prec@5 25.781 (19.532)
Epoch: [1][3110/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.8342 (5.2118) Prec@1 12.500 (6.942) Prec@5 26.172 (19.550)
Epoch: [1][3120/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.7837 (5.2107) Prec@1 8.203 (6.947) Prec@5 28.516 (19.569)
Epoch: [1][3130/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.7209 (5.2098) Prec@1 11.719 (6.955) Prec@5 30.859 (19.589)
Epoch: [1][3140/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.9366 (5.2088) Prec@1 8.203 (6.963) Prec@5 22.656 (19.604)
Epoch: [1][3150/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 5.0960 (5.2080) Prec@1 7.031 (6.969) Prec@5 20.703 (19.619)
Epoch: [1][3160/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.9970 (5.2072) Prec@1 7.031 (6.975) Prec@5 25.391 (19.634)
Epoch: [1][3170/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 4.9655 (5.2062) Prec@1 7.422 (6.982) Prec@5 23.828 (19.651)
Epoch: [1][3180/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 5.0908 (5.2051) Prec@1 7.422 (6.993) Prec@5 24.219 (19.670)
Epoch: [1][3190/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 4.8506 (5.2039) Prec@1 8.594 (7.004) Prec@5 26.953 (19.691)
Epoch: [1][3200/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 4.9716 (5.2029) Prec@1 13.281 (7.013) Prec@5 26.562 (19.708)
Epoch: [1][3210/5005] Time 0.452 (0.460) Data 0.000 (0.002) Loss 4.7098 (5.2016) Prec@1 8.594 (7.020) Prec@5 25.781 (19.731)
Epoch: [1][3220/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.8794 (5.2006) Prec@1 10.547 (7.031) Prec@5 26.562 (19.748)
Epoch: [1][3230/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.7993 (5.1998) Prec@1 10.547 (7.039) Prec@5 25.000 (19.766)
Epoch: [1][3240/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 5.0752 (5.1989) Prec@1 8.203 (7.046) Prec@5 23.438 (19.786)
Epoch: [1][3250/5005] Time 0.446 (0.460) Data 0.000 (0.002) Loss 4.9487 (5.1981) Prec@1 10.938 (7.053) Prec@5 23.438 (19.801)
Epoch: [1][3260/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.9294 (5.1971) Prec@1 11.719 (7.065) Prec@5 26.562 (19.818)
Epoch: [1][3270/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 4.8532 (5.1960) Prec@1 10.156 (7.074) Prec@5 28.906 (19.838)
Epoch: [1][3280/5005] Time 0.459 (0.460) Data 0.001 (0.002) Loss 4.9977 (5.1951) Prec@1 8.203 (7.087) Prec@5 23.047 (19.857)
Epoch: [1][3290/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 4.8820 (5.1941) Prec@1 10.156 (7.095) Prec@5 25.781 (19.874)
Epoch: [1][3300/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.9339 (5.1930) Prec@1 9.375 (7.104) Prec@5 25.000 (19.889)
Epoch: [1][3310/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 4.7761 (5.1919) Prec@1 11.719 (7.114) Prec@5 27.734 (19.909)
Epoch: [1][3320/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 5.1188 (5.1911) Prec@1 7.812 (7.120) Prec@5 22.266 (19.923)
Epoch: [1][3330/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.6065 (5.1899) Prec@1 10.547 (7.129) Prec@5 28.906 (19.945)
Epoch: [1][3340/5005] Time 0.464 (0.460) Data 0.001 (0.002) Loss 5.0839 (5.1890) Prec@1 8.984 (7.138) Prec@5 22.656 (19.962)
Epoch: [1][3350/5005] Time 0.466 (0.460) Data 0.000 (0.002) Loss 4.4819 (5.1878) Prec@1 12.109 (7.148) Prec@5 32.031 (19.985)
Epoch: [1][3360/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.7965 (5.1868) Prec@1 12.109 (7.158) Prec@5 27.344 (20.001)
Epoch: [1][3370/5005] Time 0.450 (0.460) Data 0.000 (0.002) Loss 4.8762 (5.1858) Prec@1 7.422 (7.165) Prec@5 20.703 (20.018)
Epoch: [1][3380/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.5668 (5.1846) Prec@1 10.156 (7.174) Prec@5 32.031 (20.036)
Epoch: [1][3390/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.8250 (5.1839) Prec@1 10.156 (7.178) Prec@5 25.000 (20.048)
Epoch: [1][3400/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.7789 (5.1830) Prec@1 10.938 (7.185) Prec@5 28.906 (20.064)
Epoch: [1][3410/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 4.6929 (5.1819) Prec@1 13.281 (7.197) Prec@5 26.953 (20.083)
Epoch: [1][3420/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 4.9470 (5.1811) Prec@1 7.812 (7.204) Prec@5 25.000 (20.100)
Epoch: [1][3430/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 4.7582 (5.1799) Prec@1 13.672 (7.215) Prec@5 29.297 (20.122)
Epoch: [1][3440/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.9074 (5.1790) Prec@1 8.594 (7.224) Prec@5 25.391 (20.142)
Epoch: [1][3450/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.7894 (5.1780) Prec@1 11.328 (7.235) Prec@5 29.688 (20.160)
Epoch: [1][3460/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 4.9750 (5.1769) Prec@1 12.109 (7.243) Prec@5 28.516 (20.184)
Epoch: [1][3470/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 4.6541 (5.1758) Prec@1 12.109 (7.250) Prec@5 30.469 (20.202)
Epoch: [1][3480/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.8290 (5.1746) Prec@1 10.547 (7.262) Prec@5 28.516 (20.225)
Epoch: [1][3490/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.5354 (5.1736) Prec@1 12.891 (7.272) Prec@5 28.516 (20.242)
Epoch: [1][3500/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.6859 (5.1726) Prec@1 11.328 (7.281) Prec@5 26.562 (20.259)
Epoch: [1][3510/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.7098 (5.1714) Prec@1 12.891 (7.291) Prec@5 32.031 (20.283)
Epoch: [1][3520/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.6305 (5.1704) Prec@1 12.891 (7.301) Prec@5 32.422 (20.302)
Epoch: [1][3530/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.8445 (5.1696) Prec@1 11.719 (7.309) Prec@5 29.297 (20.319)
Epoch: [1][3540/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.9398 (5.1688) Prec@1 10.938 (7.317) Prec@5 24.609 (20.334)
Epoch: [1][3550/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.5053 (5.1678) Prec@1 14.062 (7.327) Prec@5 33.984 (20.354)
Epoch: [1][3560/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.8468 (5.1668) Prec@1 10.547 (7.337) Prec@5 24.609 (20.370)
Epoch: [1][3570/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.9370 (5.1659) Prec@1 10.156 (7.347) Prec@5 24.219 (20.387)
Epoch: [1][3580/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.7919 (5.1648) Prec@1 11.328 (7.355) Prec@5 26.562 (20.407)
Epoch: [1][3590/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.8570 (5.1639) Prec@1 10.938 (7.365) Prec@5 22.656 (20.422)
Epoch: [1][3600/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 4.8652 (5.1630) Prec@1 10.547 (7.374) Prec@5 26.562 (20.441)
Epoch: [1][3610/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.8096 (5.1621) Prec@1 10.547 (7.382) Prec@5 25.391 (20.457)
Epoch: [1][3620/5005] Time 0.459 (0.460) Data 0.001 (0.002) Loss 4.9958 (5.1612) Prec@1 10.156 (7.391) Prec@5 23.438 (20.473)
Epoch: [1][3630/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.7786 (5.1602) Prec@1 7.812 (7.399) Prec@5 24.609 (20.490)
Epoch: [1][3640/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.7339 (5.1593) Prec@1 10.547 (7.407) Prec@5 25.391 (20.507)
Epoch: [1][3650/5005] Time 0.467 (0.460) Data 0.000 (0.002) Loss 4.7000 (5.1584) Prec@1 10.938 (7.417) Prec@5 29.297 (20.524)
Epoch: [1][3660/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.8513 (5.1575) Prec@1 10.156 (7.425) Prec@5 26.562 (20.544)
Epoch: [1][3670/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.8032 (5.1566) Prec@1 10.156 (7.432) Prec@5 28.516 (20.560)
Epoch: [1][3680/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.6053 (5.1555) Prec@1 8.594 (7.441) Prec@5 27.734 (20.579)
Epoch: [1][3690/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.7035 (5.1544) Prec@1 11.328 (7.450) Prec@5 26.172 (20.597)
Epoch: [1][3700/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.6869 (5.1534) Prec@1 13.281 (7.460) Prec@5 28.906 (20.616)
Epoch: [1][3710/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 4.7026 (5.1525) Prec@1 13.672 (7.469) Prec@5 33.594 (20.633)
Epoch: [1][3720/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.7053 (5.1516) Prec@1 10.156 (7.477) Prec@5 30.078 (20.649)
Epoch: [1][3730/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.6267 (5.1506) Prec@1 10.938 (7.487) Prec@5 30.078 (20.669)
Epoch: [1][3740/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.7542 (5.1496) Prec@1 8.984 (7.495) Prec@5 26.172 (20.686)
Epoch: [1][3750/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.6471 (5.1486) Prec@1 10.938 (7.501) Prec@5 26.172 (20.704)
Epoch: [1][3760/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.7219 (5.1477) Prec@1 12.109 (7.512) Prec@5 29.688 (20.723)
Epoch: [1][3770/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.7631 (5.1467) Prec@1 12.500 (7.522) Prec@5 29.297 (20.741)
Epoch: [1][3780/5005] Time 0.467 (0.460) Data 0.000 (0.002) Loss 4.8035 (5.1458) Prec@1 10.547 (7.532) Prec@5 22.656 (20.756)
Epoch: [1][3790/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.9727 (5.1449) Prec@1 10.156 (7.540) Prec@5 24.219 (20.768)
Epoch: [1][3800/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.5136 (5.1439) Prec@1 12.109 (7.547) Prec@5 33.594 (20.785)
Epoch: [1][3810/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.8490 (5.1429) Prec@1 9.375 (7.555) Prec@5 21.875 (20.802)
Epoch: [1][3820/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.5848 (5.1418) Prec@1 15.625 (7.567) Prec@5 30.078 (20.821)
Epoch: [1][3830/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 4.9212 (5.1408) Prec@1 8.203 (7.576) Prec@5 25.781 (20.842)
Epoch: [1][3840/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.6120 (5.1398) Prec@1 12.891 (7.586) Prec@5 29.688 (20.863)
Epoch: [1][3850/5005] Time 0.451 (0.460) Data 0.000 (0.002) Loss 4.6317 (5.1388) Prec@1 12.109 (7.597) Prec@5 28.125 (20.884)
Epoch: [1][3860/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.8382 (5.1378) Prec@1 9.766 (7.605) Prec@5 25.391 (20.900)
Epoch: [1][3870/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 5.0371 (5.1370) Prec@1 11.719 (7.611) Prec@5 26.172 (20.915)
Epoch: [1][3880/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.8916 (5.1362) Prec@1 9.766 (7.619) Prec@5 27.734 (20.929)
Epoch: [1][3890/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.7663 (5.1351) Prec@1 10.547 (7.628) Prec@5 28.516 (20.948)
Epoch: [1][3900/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.8634 (5.1342) Prec@1 10.156 (7.636) Prec@5 27.734 (20.964)
Epoch: [1][3910/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.9925 (5.1334) Prec@1 8.594 (7.641) Prec@5 23.828 (20.980)
Epoch: [1][3920/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.8735 (5.1325) Prec@1 9.766 (7.649) Prec@5 23.828 (20.993)
Epoch: [1][3930/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.8255 (5.1316) Prec@1 9.766 (7.659) Prec@5 27.734 (21.008)
Epoch: [1][3940/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.6012 (5.1305) Prec@1 16.406 (7.667) Prec@5 33.203 (21.030)
Epoch: [1][3950/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.9478 (5.1294) Prec@1 11.328 (7.680) Prec@5 25.391 (21.049)
Epoch: [1][3960/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.6921 (5.1283) Prec@1 13.281 (7.690) Prec@5 30.859 (21.069)
Epoch: [1][3970/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.9325 (5.1271) Prec@1 10.547 (7.699) Prec@5 26.953 (21.092)
Epoch: [1][3980/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.7376 (5.1262) Prec@1 9.375 (7.706) Prec@5 28.125 (21.108)
Epoch: [1][3990/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.6684 (5.1253) Prec@1 12.500 (7.715) Prec@5 29.688 (21.128)
Epoch: [1][4000/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 4.6655 (5.1244) Prec@1 14.453 (7.723) Prec@5 28.516 (21.143)
Epoch: [1][4010/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.6256 (5.1235) Prec@1 8.203 (7.730) Prec@5 31.250 (21.157)
Epoch: [1][4020/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.6923 (5.1227) Prec@1 14.062 (7.738) Prec@5 27.344 (21.170)
Epoch: [1][4030/5005] Time 0.459 (0.460) Data 0.001 (0.002) Loss 4.7249 (5.1217) Prec@1 10.156 (7.747) Prec@5 29.297 (21.188)
Epoch: [1][4040/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.4810 (5.1206) Prec@1 14.844 (7.758) Prec@5 29.297 (21.209)
Epoch: [1][4050/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 4.6072 (5.1195) Prec@1 12.891 (7.768) Prec@5 30.859 (21.228)
Epoch: [1][4060/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.6029 (5.1186) Prec@1 10.938 (7.779) Prec@5 29.688 (21.249)
Epoch: [1][4070/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.7215 (5.1177) Prec@1 12.109 (7.787) Prec@5 28.906 (21.266)
Epoch: [1][4080/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 4.7084 (5.1168) Prec@1 12.109 (7.796) Prec@5 27.734 (21.282)
Epoch: [1][4090/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 5.0238 (5.1158) Prec@1 9.375 (7.803) Prec@5 23.438 (21.299)
Epoch: [1][4100/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.8052 (5.1150) Prec@1 13.281 (7.812) Prec@5 28.906 (21.316)
Epoch: [1][4110/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 4.9197 (5.1139) Prec@1 10.938 (7.822) Prec@5 28.516 (21.339)
Epoch: [1][4120/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 4.4472 (5.1127) Prec@1 14.453 (7.834) Prec@5 34.766 (21.362)
Epoch: [1][4130/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 4.6660 (5.1116) Prec@1 12.500 (7.845) Prec@5 32.031 (21.383)
Epoch: [1][4140/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.4911 (5.1105) Prec@1 14.844 (7.856) Prec@5 33.594 (21.404)
Epoch: [1][4150/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.8359 (5.1097) Prec@1 8.594 (7.862) Prec@5 24.219 (21.419)
Epoch: [1][4160/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 4.8909 (5.1088) Prec@1 8.594 (7.869) Prec@5 25.000 (21.433)
Epoch: [1][4170/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.9106 (5.1081) Prec@1 10.156 (7.875) Prec@5 27.344 (21.447)
Epoch: [1][4180/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.7190 (5.1071) Prec@1 11.328 (7.884) Prec@5 32.422 (21.467)
Epoch: [1][4190/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.8417 (5.1063) Prec@1 8.984 (7.891) Prec@5 25.391 (21.482)
Epoch: [1][4200/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.6232 (5.1054) Prec@1 10.938 (7.898) Prec@5 32.812 (21.500)
Epoch: [1][4210/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.6424 (5.1045) Prec@1 10.938 (7.907) Prec@5 28.906 (21.517)
Epoch: [1][4220/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.7998 (5.1037) Prec@1 10.547 (7.915) Prec@5 27.344 (21.530)
Epoch: [1][4230/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.7806 (5.1028) Prec@1 12.500 (7.923) Prec@5 26.953 (21.545)
Epoch: [1][4240/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.5682 (5.1017) Prec@1 12.109 (7.934) Prec@5 31.641 (21.566)
Epoch: [1][4250/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 4.6497 (5.1007) Prec@1 11.328 (7.944) Prec@5 27.344 (21.583)
Epoch: [1][4260/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 5.0281 (5.0998) Prec@1 9.375 (7.951) Prec@5 23.828 (21.599)
Epoch: [1][4270/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 4.6744 (5.0989) Prec@1 11.719 (7.959) Prec@5 30.469 (21.615)
Epoch: [1][4280/5005] Time 0.466 (0.460) Data 0.000 (0.002) Loss 4.8503 (5.0980) Prec@1 8.594 (7.964) Prec@5 26.953 (21.630)
Epoch: [1][4290/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 4.4248 (5.0972) Prec@1 17.969 (7.973) Prec@5 32.422 (21.648)
Epoch: [1][4300/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 4.7433 (5.0959) Prec@1 11.328 (7.986) Prec@5 26.953 (21.671)
Epoch: [1][4310/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.8165 (5.0952) Prec@1 10.156 (7.992) Prec@5 28.125 (21.685)
Epoch: [1][4320/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 4.6657 (5.0944) Prec@1 12.891 (8.000) Prec@5 28.516 (21.700)
Epoch: [1][4330/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 4.6999 (5.0935) Prec@1 11.328 (8.008) Prec@5 32.031 (21.717)
Epoch: [1][4340/5005] Time 0.452 (0.460) Data 0.000 (0.002) Loss 4.6120 (5.0926) Prec@1 12.109 (8.018) Prec@5 32.812 (21.734)
Epoch: [1][4350/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 4.6155 (5.0916) Prec@1 13.672 (8.029) Prec@5 28.906 (21.754)
Epoch: [1][4360/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 4.8875 (5.0907) Prec@1 7.812 (8.036) Prec@5 23.047 (21.770)
Epoch: [1][4370/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 4.6045 (5.0898) Prec@1 14.453 (8.043) Prec@5 30.469 (21.787)
Epoch: [1][4380/5005] Time 0.458 (0.460) Data 0.000 (0.001) Loss 4.5165 (5.0888) Prec@1 13.672 (8.051) Prec@5 30.078 (21.804)
Epoch: [1][4390/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 4.4838 (5.0879) Prec@1 14.453 (8.058) Prec@5 30.859 (21.822)
Epoch: [1][4400/5005] Time 0.467 (0.460) Data 0.000 (0.001) Loss 4.5797 (5.0870) Prec@1 15.234 (8.068) Prec@5 32.422 (21.840)
Epoch: [1][4410/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 4.7769 (5.0859) Prec@1 10.547 (8.078) Prec@5 26.953 (21.859)
Epoch: [1][4420/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 4.5143 (5.0850) Prec@1 18.359 (8.085) Prec@5 33.594 (21.873)
Epoch: [1][4430/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 4.7104 (5.0842) Prec@1 11.719 (8.092) Prec@5 26.562 (21.892)
Epoch: [1][4440/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 4.6084 (5.0832) Prec@1 11.328 (8.101) Prec@5 28.125 (21.905)
Epoch: [1][4450/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 4.7484 (5.0822) Prec@1 8.203 (8.110) Prec@5 27.734 (21.922)
Epoch: [1][4460/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 4.8923 (5.0814) Prec@1 11.328 (8.118) Prec@5 24.219 (21.939)
Epoch: [1][4470/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 4.4598 (5.0804) Prec@1 11.719 (8.127) Prec@5 34.766 (21.961)
Epoch: [1][4480/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 4.6837 (5.0793) Prec@1 10.938 (8.137) Prec@5 29.688 (21.979)
Epoch: [1][4490/5005] Time 0.458 (0.460) Data 0.001 (0.001) Loss 4.5746 (5.0783) Prec@1 13.281 (8.147) Prec@5 28.906 (21.999)
Epoch: [1][4500/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 4.6693 (5.0773) Prec@1 11.328 (8.157) Prec@5 28.906 (22.018)
Epoch: [1][4510/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 4.5927 (5.0764) Prec@1 15.234 (8.165) Prec@5 33.594 (22.035)
Epoch: [1][4520/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 4.6284 (5.0753) Prec@1 13.281 (8.173) Prec@5 30.469 (22.052)
Epoch: [1][4530/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 4.9326 (5.0745) Prec@1 7.422 (8.181) Prec@5 25.000 (22.068)
Epoch: [1][4540/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 4.7204 (5.0737) Prec@1 10.938 (8.190) Prec@5 29.297 (22.085)
Epoch: [1][4550/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 4.7005 (5.0727) Prec@1 7.422 (8.197) Prec@5 28.906 (22.102)
Epoch: [1][4560/5005] Time 0.458 (0.460) Data 0.000 (0.001) Loss 4.6290 (5.0718) Prec@1 14.844 (8.207) Prec@5 33.984 (22.120)
Epoch: [1][4570/5005] Time 0.455 (0.460) Data 0.000 (0.001) Loss 4.7831 (5.0709) Prec@1 8.984 (8.216) Prec@5 23.438 (22.135)
Epoch: [1][4580/5005] Time 0.458 (0.460) Data 0.001 (0.001) Loss 4.8263 (5.0701) Prec@1 12.500 (8.224) Prec@5 26.562 (22.147)
Epoch: [1][4590/5005] Time 0.465 (0.460) Data 0.000 (0.001) Loss 4.6466 (5.0693) Prec@1 12.109 (8.231) Prec@5 29.688 (22.161)
Epoch: [1][4600/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 4.5875 (5.0684) Prec@1 11.328 (8.240) Prec@5 26.953 (22.178)
Epoch: [1][4610/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 4.3041 (5.0673) Prec@1 12.500 (8.251) Prec@5 35.547 (22.198)
Epoch: [1][4620/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 4.4762 (5.0663) Prec@1 12.109 (8.260) Prec@5 35.547 (22.219)
Epoch: [1][4630/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 4.5132 (5.0652) Prec@1 14.062 (8.270) Prec@5 33.594 (22.239)
Epoch: [1][4640/5005] Time 0.464 (0.460) Data 0.000 (0.001) Loss 4.6315 (5.0643) Prec@1 12.109 (8.278) Prec@5 28.516 (22.258)
Epoch: [1][4650/5005] Time 0.454 (0.460) Data 0.000 (0.001) Loss 4.5021 (5.0633) Prec@1 11.719 (8.287) Prec@5 29.688 (22.271)
Epoch: [1][4660/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 4.7755 (5.0625) Prec@1 11.328 (8.295) Prec@5 26.172 (22.287)
Epoch: [1][4670/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 4.7822 (5.0616) Prec@1 10.156 (8.302) Prec@5 27.734 (22.303)
Epoch: [1][4680/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 4.4226 (5.0605) Prec@1 13.672 (8.311) Prec@5 30.859 (22.321)
Epoch: [1][4690/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 4.5918 (5.0595) Prec@1 13.672 (8.323) Prec@5 28.516 (22.341)
Epoch: [1][4700/5005] Time 0.464 (0.460) Data 0.000 (0.001) Loss 4.5566 (5.0586) Prec@1 14.062 (8.332) Prec@5 28.516 (22.357)
Epoch: [1][4710/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 4.7271 (5.0576) Prec@1 15.234 (8.343) Prec@5 26.562 (22.378)
Epoch: [1][4720/5005] Time 0.466 (0.460) Data 0.000 (0.001) Loss 4.7067 (5.0568) Prec@1 11.328 (8.349) Prec@5 29.297 (22.391)
Epoch: [1][4730/5005] Time 0.468 (0.460) Data 0.001 (0.001) Loss 4.5851 (5.0559) Prec@1 13.672 (8.356) Prec@5 31.641 (22.407)
Epoch: [1][4740/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 4.8262 (5.0551) Prec@1 9.766 (8.365) Prec@5 25.781 (22.424)
Epoch: [1][4750/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 4.7456 (5.0544) Prec@1 15.625 (8.374) Prec@5 33.594 (22.438)
Epoch: [1][4760/5005] Time 0.464 (0.460) Data 0.000 (0.001) Loss 4.6112 (5.0535) Prec@1 12.500 (8.383) Prec@5 30.078 (22.454)
Epoch: [1][4770/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 4.4434 (5.0526) Prec@1 12.891 (8.394) Prec@5 35.547 (22.473)
Epoch: [1][4780/5005] Time 0.464 (0.460) Data 0.000 (0.001) Loss 4.7116 (5.0516) Prec@1 12.109 (8.403) Prec@5 32.031 (22.492)
Epoch: [1][4790/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 4.6118 (5.0506) Prec@1 12.891 (8.413) Prec@5 27.734 (22.510)
Epoch: [1][4800/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 4.6869 (5.0496) Prec@1 10.938 (8.422) Prec@5 25.000 (22.529)
Epoch: [1][4810/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 4.3899 (5.0486) Prec@1 13.672 (8.432) Prec@5 35.547 (22.549)
Epoch: [1][4820/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 4.7496 (5.0477) Prec@1 11.719 (8.441) Prec@5 32.422 (22.569)
Epoch: [1][4830/5005] Time 0.455 (0.460) Data 0.000 (0.001) Loss 4.5552 (5.0467) Prec@1 14.453 (8.451) Prec@5 35.547 (22.589)
Epoch: [1][4840/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 4.6167 (5.0458) Prec@1 10.547 (8.459) Prec@5 32.422 (22.606)
Epoch: [1][4850/5005] Time 0.454 (0.460) Data 0.000 (0.001) Loss 4.7574 (5.0449) Prec@1 10.938 (8.468) Prec@5 28.125 (22.621)
Epoch: [1][4860/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 4.5772 (5.0440) Prec@1 12.109 (8.477) Prec@5 31.641 (22.637)
Epoch: [1][4870/5005] Time 0.455 (0.460) Data 0.000 (0.001) Loss 4.5611 (5.0430) Prec@1 11.328 (8.483) Prec@5 30.078 (22.655)
Epoch: [1][4880/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 4.7078 (5.0422) Prec@1 7.422 (8.490) Prec@5 25.391 (22.670)
Epoch: [1][4890/5005] Time 0.455 (0.460) Data 0.000 (0.001) Loss 4.7186 (5.0414) Prec@1 11.719 (8.498) Prec@5 30.859 (22.685)
Epoch: [1][4900/5005] Time 0.453 (0.460) Data 0.000 (0.001) Loss 4.8315 (5.0406) Prec@1 10.938 (8.504) Prec@5 27.734 (22.699)
Epoch: [1][4910/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 4.4928 (5.0397) Prec@1 9.766 (8.512) Prec@5 32.031 (22.716)
Epoch: [1][4920/5005] Time 0.458 (0.460) Data 0.000 (0.001) Loss 4.3361 (5.0386) Prec@1 11.719 (8.524) Prec@5 32.812 (22.738)
Epoch: [1][4930/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 4.6090 (5.0376) Prec@1 13.672 (8.532) Prec@5 32.031 (22.754)
Epoch: [1][4940/5005] Time 0.453 (0.460) Data 0.000 (0.001) Loss 4.5881 (5.0368) Prec@1 12.891 (8.540) Prec@5 29.297 (22.770)
Epoch: [1][4950/5005] Time 0.465 (0.460) Data 0.000 (0.001) Loss 4.4346 (5.0361) Prec@1 16.016 (8.547) Prec@5 36.328 (22.787)
Epoch: [1][4960/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 4.6719 (5.0352) Prec@1 13.281 (8.558) Prec@5 32.031 (22.806)
Epoch: [1][4970/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 4.4145 (5.0342) Prec@1 13.281 (8.567) Prec@5 31.641 (22.822)
Epoch: [1][4980/5005] Time 0.454 (0.460) Data 0.000 (0.001) Loss 4.7182 (5.0333) Prec@1 12.891 (8.578) Prec@5 27.734 (22.841)
Epoch: [1][4990/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 4.4249 (5.0324) Prec@1 11.719 (8.586) Prec@5 28.516 (22.858)
Epoch: [1][5000/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 4.6788 (5.0315) Prec@1 16.797 (8.595) Prec@5 32.031 (22.875)
Test: [0/196] Time 5.326 (5.326) Loss 2.8239 (2.8239) Prec@1 36.328 (36.328) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.152 (0.622) Loss 4.0791 (3.5439) Prec@1 18.750 (24.929) Prec@5 41.406 (50.249)
Test: [20/196] Time 0.205 (0.401) Loss 3.4065 (3.5388) Prec@1 39.844 (25.818) Prec@5 52.734 (50.428)
Test: [30/196] Time 0.148 (0.321) Loss 3.4135 (3.4984) Prec@1 20.703 (25.945) Prec@5 45.703 (51.222)
Test: [40/196] Time 0.151 (0.280) Loss 4.0290 (3.5991) Prec@1 10.938 (22.656) Prec@5 34.766 (47.694)
Test: [50/196] Time 0.158 (0.255) Loss 3.3965 (3.5946) Prec@1 22.266 (21.622) Prec@5 53.125 (47.342)
Test: [60/196] Time 0.149 (0.238) Loss 3.7269 (3.5775) Prec@1 21.094 (21.888) Prec@5 46.484 (47.739)
Test: [70/196] Time 0.148 (0.226) Loss 4.1871 (3.6028) Prec@1 11.328 (21.715) Prec@5 37.500 (47.145)
Test: [80/196] Time 0.148 (0.217) Loss 4.9801 (3.6239) Prec@1 5.469 (21.716) Prec@5 23.438 (46.933)
Test: [90/196] Time 0.149 (0.209) Loss 5.4938 (3.7370) Prec@1 7.812 (20.660) Prec@5 18.359 (45.132)
Test: [100/196] Time 0.151 (0.204) Loss 5.2844 (3.8319) Prec@1 3.906 (19.991) Prec@5 19.531 (43.738)
Test: [110/196] Time 0.151 (0.199) Loss 4.3942 (3.8856) Prec@1 17.188 (19.711) Prec@5 35.938 (43.081)
Test: [120/196] Time 0.148 (0.195) Loss 5.0080 (3.9502) Prec@1 16.016 (19.244) Prec@5 27.344 (42.065)
Test: [130/196] Time 0.161 (0.192) Loss 4.4074 (3.9876) Prec@1 14.062 (18.932) Prec@5 34.375 (41.552)
Test: [140/196] Time 0.151 (0.189) Loss 4.3498 (4.0324) Prec@1 14.062 (18.587) Prec@5 40.625 (40.752)
Test: [150/196] Time 0.153 (0.186) Loss 4.7641 (4.0850) Prec@1 17.969 (18.176) Prec@5 28.516 (39.955)
Test: [160/196] Time 0.152 (0.184) Loss 4.2617 (4.1128) Prec@1 16.797 (17.957) Prec@5 36.328 (39.540)
Test: [170/196] Time 0.155 (0.183) Loss 3.3191 (4.1408) Prec@1 28.906 (17.656) Prec@5 56.250 (39.088)
Test: [180/196] Time 0.148 (0.181) Loss 3.4057 (4.1616) Prec@1 23.828 (17.531) Prec@5 49.609 (38.767)
Test: [190/196] Time 0.148 (0.179) Loss 2.8805 (4.1346) Prec@1 35.938 (17.856) Prec@5 60.938 (39.281)
* Prec@1 18.156 Prec@5 39.682
Epoch: [2][0/5005] Time 4.866 (4.866) Data 4.688 (4.688) Loss 4.5804 (4.5804) Prec@1 15.625 (15.625) Prec@5 30.469 (30.469)
Epoch: [2][10/5005] Time 0.469 (0.864) Data 0.000 (0.427) Loss 4.7013 (4.6190) Prec@1 14.453 (14.062) Prec@5 29.297 (31.143)
Epoch: [2][20/5005] Time 0.464 (0.674) Data 0.000 (0.226) Loss 4.3628 (4.5915) Prec@1 14.062 (12.946) Prec@5 36.328 (31.678)
Epoch: [2][30/5005] Time 0.456 (0.607) Data 0.000 (0.153) Loss 4.6155 (4.5784) Prec@1 11.719 (13.269) Prec@5 29.688 (31.628)
Epoch: [2][40/5005] Time 0.456 (0.572) Data 0.000 (0.116) Loss 4.4849 (4.5649) Prec@1 12.109 (13.386) Prec@5 32.812 (31.764)
Epoch: [2][50/5005] Time 0.473 (0.551) Data 0.000 (0.093) Loss 4.4297 (4.5843) Prec@1 15.625 (13.205) Prec@5 32.812 (31.342)
Epoch: [2][60/5005] Time 0.447 (0.537) Data 0.001 (0.078) Loss 4.5137 (4.5780) Prec@1 14.844 (13.249) Prec@5 32.812 (31.301)
Epoch: [2][70/5005] Time 0.456 (0.527) Data 0.000 (0.067) Loss 4.5971 (4.5802) Prec@1 13.281 (13.237) Prec@5 32.031 (31.294)
Epoch: [2][80/5005] Time 0.473 (0.519) Data 0.000 (0.059) Loss 4.7367 (4.5756) Prec@1 10.547 (13.175) Prec@5 29.297 (31.404)
Epoch: [2][90/5005] Time 0.451 (0.513) Data 0.000 (0.052) Loss 4.3169 (4.5704) Prec@1 15.625 (13.144) Prec@5 35.547 (31.533)
Epoch: [2][100/5005] Time 0.453 (0.508) Data 0.000 (0.047) Loss 4.5111 (4.5711) Prec@1 14.062 (13.138) Prec@5 32.812 (31.528)
Epoch: [2][110/5005] Time 0.468 (0.504) Data 0.000 (0.043) Loss 4.4484 (4.5667) Prec@1 16.406 (13.151) Prec@5 35.547 (31.532)
Epoch: [2][120/5005] Time 0.453 (0.500) Data 0.000 (0.040) Loss 4.7532 (4.5645) Prec@1 13.281 (13.243) Prec@5 27.344 (31.492)
Epoch: [2][130/5005] Time 0.472 (0.497) Data 0.000 (0.037) Loss 4.5530 (4.5651) Prec@1 9.375 (13.171) Prec@5 30.078 (31.450)
Epoch: [2][140/5005] Time 0.471 (0.495) Data 0.000 (0.034) Loss 4.4024 (4.5634) Prec@1 13.672 (13.151) Prec@5 36.719 (31.389)
Epoch: [2][150/5005] Time 0.451 (0.493) Data 0.000 (0.032) Loss 4.3784 (4.5585) Prec@1 16.016 (13.230) Prec@5 35.156 (31.519)
Epoch: [2][160/5005] Time 0.457 (0.491) Data 0.000 (0.030) Loss 4.4114 (4.5554) Prec@1 16.406 (13.255) Prec@5 35.938 (31.558)
Epoch: [2][170/5005] Time 0.462 (0.489) Data 0.000 (0.028) Loss 4.7011 (4.5571) Prec@1 10.156 (13.204) Prec@5 27.344 (31.595)
Epoch: [2][180/5005] Time 0.453 (0.488) Data 0.000 (0.027) Loss 4.4806 (4.5569) Prec@1 11.719 (13.130) Prec@5 32.422 (31.606)
Epoch: [2][190/5005] Time 0.471 (0.487) Data 0.000 (0.025) Loss 4.5552 (4.5596) Prec@1 12.891 (13.105) Prec@5 32.422 (31.600)
Epoch: [2][200/5005] Time 0.473 (0.486) Data 0.000 (0.024) Loss 4.5060 (4.5594) Prec@1 18.359 (13.139) Prec@5 33.203 (31.613)
Epoch: [2][210/5005] Time 0.474 (0.485) Data 0.000 (0.023) Loss 4.6429 (4.5577) Prec@1 14.062 (13.163) Prec@5 30.078 (31.648)
Epoch: [2][220/5005] Time 0.475 (0.484) Data 0.000 (0.022) Loss 4.6030 (4.5583) Prec@1 12.109 (13.165) Prec@5 31.641 (31.637)
Epoch: [2][230/5005] Time 0.473 (0.483) Data 0.000 (0.021) Loss 4.4772 (4.5566) Prec@1 14.844 (13.178) Prec@5 31.641 (31.658)
Epoch: [2][240/5005] Time 0.482 (0.482) Data 0.001 (0.020) Loss 4.6126 (4.5548) Prec@1 8.984 (13.195) Prec@5 26.953 (31.657)
Epoch: [2][250/5005] Time 0.470 (0.482) Data 0.000 (0.019) Loss 4.6034 (4.5544) Prec@1 13.281 (13.174) Prec@5 31.641 (31.673)
Epoch: [2][260/5005] Time 0.457 (0.481) Data 0.000 (0.019) Loss 4.5983 (4.5504) Prec@1 13.672 (13.227) Prec@5 31.641 (31.730)
Epoch: [2][270/5005] Time 0.457 (0.480) Data 0.000 (0.018) Loss 4.5541 (4.5487) Prec@1 11.719 (13.242) Prec@5 33.203 (31.780)
Epoch: [2][280/5005] Time 0.459 (0.480) Data 0.000 (0.017) Loss 4.4644 (4.5467) Prec@1 12.891 (13.241) Prec@5 33.203 (31.812)
Epoch: [2][290/5005] Time 0.454 (0.479) Data 0.000 (0.017) Loss 4.4835 (4.5444) Prec@1 17.188 (13.303) Prec@5 36.328 (31.858)
Epoch: [2][300/5005] Time 0.452 (0.479) Data 0.000 (0.016) Loss 4.7233 (4.5451) Prec@1 12.109 (13.314) Prec@5 28.906 (31.865)
Epoch: [2][310/5005] Time 0.468 (0.478) Data 0.000 (0.016) Loss 4.4750 (4.5436) Prec@1 15.625 (13.342) Prec@5 33.203 (31.884)
Epoch: [2][320/5005] Time 0.457 (0.478) Data 0.000 (0.015) Loss 4.4366 (4.5436) Prec@1 10.938 (13.304) Prec@5 33.594 (31.882)
Epoch: [2][330/5005] Time 0.451 (0.477) Data 0.000 (0.015) Loss 4.4606 (4.5397) Prec@1 15.234 (13.319) Prec@5 32.031 (31.936)
Epoch: [2][340/5005] Time 0.473 (0.477) Data 0.000 (0.014) Loss 4.6509 (4.5392) Prec@1 12.109 (13.357) Prec@5 32.422 (31.966)
Epoch: [2][350/5005] Time 0.450 (0.477) Data 0.000 (0.014) Loss 4.4696 (4.5387) Prec@1 17.188 (13.389) Prec@5 33.984 (31.974)
Epoch: [2][360/5005] Time 0.470 (0.476) Data 0.000 (0.014) Loss 4.4156 (4.5376) Prec@1 15.234 (13.369) Prec@5 34.375 (31.986)
Epoch: [2][370/5005] Time 0.459 (0.476) Data 0.000 (0.013) Loss 4.5305 (4.5389) Prec@1 14.844 (13.369) Prec@5 33.203 (31.992)
Epoch: [2][380/5005] Time 0.454 (0.476) Data 0.000 (0.013) Loss 4.5882 (4.5371) Prec@1 13.672 (13.390) Prec@5 32.031 (32.030)
Epoch: [2][390/5005] Time 0.472 (0.475) Data 0.000 (0.013) Loss 4.3364 (4.5353) Prec@1 12.891 (13.404) Prec@5 32.031 (32.056)
Epoch: [2][400/5005] Time 0.477 (0.475) Data 0.000 (0.012) Loss 4.5335 (4.5355) Prec@1 8.203 (13.383) Prec@5 28.125 (32.049)
Epoch: [2][410/5005] Time 0.465 (0.475) Data 0.000 (0.012) Loss 4.5807 (4.5355) Prec@1 12.109 (13.383) Prec@5 28.516 (32.041)
Epoch: [2][420/5005] Time 0.479 (0.475) Data 0.000 (0.012) Loss 4.7413 (4.5361) Prec@1 12.500 (13.381) Prec@5 28.125 (32.036)
Epoch: [2][430/5005] Time 0.482 (0.474) Data 0.000 (0.011) Loss 4.6009 (4.5353) Prec@1 13.672 (13.394) Prec@5 32.031 (32.044)
Epoch: [2][440/5005] Time 0.466 (0.474) Data 0.000 (0.011) Loss 4.4098 (4.5332) Prec@1 13.672 (13.403) Prec@5 36.719 (32.060)
Epoch: [2][450/5005] Time 0.451 (0.474) Data 0.000 (0.011) Loss 4.5695 (4.5334) Prec@1 14.844 (13.423) Prec@5 34.375 (32.068)
Epoch: [2][460/5005] Time 0.480 (0.474) Data 0.000 (0.011) Loss 4.6379 (4.5335) Prec@1 14.062 (13.449) Prec@5 34.375 (32.095)
Epoch: [2][470/5005] Time 0.458 (0.474) Data 0.000 (0.010) Loss 4.6497 (4.5316) Prec@1 11.328 (13.478) Prec@5 32.812 (32.114)
Epoch: [2][480/5005] Time 0.473 (0.473) Data 0.000 (0.010) Loss 4.4520 (4.5318) Prec@1 17.969 (13.492) Prec@5 32.031 (32.109)
Epoch: [2][490/5005] Time 0.449 (0.473) Data 0.000 (0.010) Loss 4.6771 (4.5310) Prec@1 10.938 (13.492) Prec@5 26.562 (32.121)
Epoch: [2][500/5005] Time 0.450 (0.473) Data 0.000 (0.010) Loss 4.6249 (4.5295) Prec@1 10.547 (13.497) Prec@5 31.250 (32.151)
Epoch: [2][510/5005] Time 0.458 (0.473) Data 0.000 (0.010) Loss 4.7120 (4.5289) Prec@1 13.672 (13.512) Prec@5 29.297 (32.165)
Epoch: [2][520/5005] Time 0.453 (0.473) Data 0.000 (0.010) Loss 4.3976 (4.5281) Prec@1 13.672 (13.505) Prec@5 30.859 (32.160)
Epoch: [2][530/5005] Time 0.467 (0.473) Data 0.000 (0.009) Loss 4.6810 (4.5287) Prec@1 12.109 (13.504) Prec@5 28.906 (32.139)
Epoch: [2][540/5005] Time 0.451 (0.472) Data 0.000 (0.009) Loss 4.4112 (4.5281) Prec@1 11.328 (13.508) Prec@5 34.766 (32.156)
Epoch: [2][550/5005] Time 0.481 (0.472) Data 0.000 (0.009) Loss 4.4625 (4.5288) Prec@1 11.719 (13.504) Prec@5 33.594 (32.137)
Epoch: [2][560/5005] Time 0.457 (0.472) Data 0.000 (0.009) Loss 4.5938 (4.5291) Prec@1 13.281 (13.497) Prec@5 30.078 (32.138)
Epoch: [2][570/5005] Time 0.454 (0.472) Data 0.000 (0.009) Loss 4.3858 (4.5267) Prec@1 15.625 (13.517) Prec@5 37.891 (32.192)
Epoch: [2][580/5005] Time 0.467 (0.472) Data 0.000 (0.009) Loss 4.3380 (4.5258) Prec@1 13.281 (13.523) Prec@5 35.547 (32.195)
Epoch: [2][590/5005] Time 0.455 (0.472) Data 0.000 (0.008) Loss 4.4580 (4.5242) Prec@1 14.062 (13.535) Prec@5 33.984 (32.228)
Epoch: [2][600/5005] Time 0.460 (0.472) Data 0.000 (0.008) Loss 4.5197 (4.5223) Prec@1 16.406 (13.553) Prec@5 31.641 (32.267)
Epoch: [2][610/5005] Time 0.467 (0.472) Data 0.000 (0.008) Loss 4.4935 (4.5204) Prec@1 12.891 (13.584) Prec@5 33.984 (32.291)
Epoch: [2][620/5005] Time 0.473 (0.471) Data 0.000 (0.008) Loss 4.4253 (4.5199) Prec@1 16.406 (13.589) Prec@5 35.156 (32.305)
Epoch: [2][630/5005] Time 0.452 (0.471) Data 0.000 (0.008) Loss 4.5201 (4.5189) Prec@1 9.375 (13.581) Prec@5 31.641 (32.301)
Epoch: [2][640/5005] Time 0.463 (0.471) Data 0.000 (0.008) Loss 4.6773 (4.5171) Prec@1 9.766 (13.592) Prec@5 26.562 (32.331)
Epoch: [2][650/5005] Time 0.452 (0.471) Data 0.000 (0.008) Loss 4.1915 (4.5154) Prec@1 17.969 (13.612) Prec@5 41.797 (32.378)
Epoch: [2][660/5005] Time 0.456 (0.471) Data 0.000 (0.008) Loss 4.4086 (4.5143) Prec@1 13.672 (13.607) Prec@5 31.641 (32.391)
Epoch: [2][670/5005] Time 0.472 (0.471) Data 0.000 (0.007) Loss 4.3584 (4.5137) Prec@1 17.969 (13.614) Prec@5 37.109 (32.417)
Epoch: [2][680/5005] Time 0.450 (0.471) Data 0.000 (0.007) Loss 4.6100 (4.5128) Prec@1 14.453 (13.619) Prec@5 31.250 (32.418)
Epoch: [2][690/5005] Time 0.457 (0.471) Data 0.000 (0.007) Loss 4.5384 (4.5105) Prec@1 14.844 (13.644) Prec@5 33.594 (32.469)
Epoch: [2][700/5005] Time 0.456 (0.471) Data 0.000 (0.007) Loss 4.3027 (4.5088) Prec@1 15.625 (13.672) Prec@5 35.547 (32.510)
Epoch: [2][710/5005] Time 0.463 (0.470) Data 0.000 (0.007) Loss 4.2798 (4.5088) Prec@1 17.188 (13.674) Prec@5 38.281 (32.511)
Epoch: [2][720/5005] Time 0.475 (0.470) Data 0.000 (0.007) Loss 4.6025 (4.5090) Prec@1 15.234 (13.673) Prec@5 32.031 (32.499)
Epoch: [2][730/5005] Time 0.459 (0.470) Data 0.000 (0.007) Loss 4.5967 (4.5093) Prec@1 13.672 (13.668) Prec@5 28.906 (32.507)
Epoch: [2][740/5005] Time 0.471 (0.470) Data 0.000 (0.007) Loss 4.3813 (4.5081) Prec@1 15.234 (13.679) Prec@5 32.812 (32.523)
Epoch: [2][750/5005] Time 0.473 (0.470) Data 0.000 (0.007) Loss 4.4970 (4.5074) Prec@1 12.500 (13.688) Prec@5 32.031 (32.542)
Epoch: [2][760/5005] Time 0.479 (0.470) Data 0.000 (0.007) Loss 4.5843 (4.5069) Prec@1 14.062 (13.696) Prec@5 34.375 (32.576)
Epoch: [2][770/5005] Time 0.458 (0.470) Data 0.000 (0.007) Loss 4.7438 (4.5071) Prec@1 10.938 (13.685) Prec@5 28.516 (32.573)
Epoch: [2][780/5005] Time 0.453 (0.470) Data 0.000 (0.006) Loss 4.4783 (4.5072) Prec@1 10.156 (13.688) Prec@5 29.297 (32.571)
Epoch: [2][790/5005] Time 0.465 (0.470) Data 0.000 (0.006) Loss 4.7151 (4.5069) Prec@1 15.234 (13.688) Prec@5 30.078 (32.592)
Epoch: [2][800/5005] Time 0.470 (0.470) Data 0.000 (0.006) Loss 4.4834 (4.5065) Prec@1 13.281 (13.684) Prec@5 30.859 (32.598)
Epoch: [2][810/5005] Time 0.451 (0.470) Data 0.000 (0.006) Loss 4.3901 (4.5058) Prec@1 13.672 (13.695) Prec@5 32.422 (32.605)
Epoch: [2][820/5005] Time 0.468 (0.470) Data 0.000 (0.006) Loss 4.3343 (4.5040) Prec@1 18.359 (13.730) Prec@5 34.766 (32.636)
Epoch: [2][830/5005] Time 0.476 (0.470) Data 0.000 (0.006) Loss 4.5090 (4.5025) Prec@1 12.109 (13.740) Prec@5 33.203 (32.655)
Epoch: [2][840/5005] Time 0.451 (0.470) Data 0.000 (0.006) Loss 4.3019 (4.5013) Prec@1 13.672 (13.745) Prec@5 37.891 (32.677)
Epoch: [2][850/5005] Time 0.460 (0.470) Data 0.000 (0.006) Loss 4.3933 (4.5008) Prec@1 17.188 (13.755) Prec@5 37.500 (32.684)
Epoch: [2][860/5005] Time 0.439 (0.469) Data 0.000 (0.006) Loss 4.5709 (4.5004) Prec@1 12.109 (13.764) Prec@5 29.688 (32.706)
Epoch: [2][870/5005] Time 0.470 (0.469) Data 0.000 (0.006) Loss 4.3469 (4.5004) Prec@1 18.359 (13.768) Prec@5 35.938 (32.710)
Epoch: [2][880/5005] Time 0.475 (0.469) Data 0.000 (0.006) Loss 4.6557 (4.5008) Prec@1 10.156 (13.757) Prec@5 30.859 (32.700)
Epoch: [2][890/5005] Time 0.466 (0.469) Data 0.000 (0.006) Loss 4.3749 (4.5000) Prec@1 14.844 (13.765) Prec@5 41.406 (32.724)
Epoch: [2][900/5005] Time 0.457 (0.469) Data 0.000 (0.006) Loss 4.4750 (4.4987) Prec@1 19.141 (13.774) Prec@5 34.766 (32.742)
Epoch: [2][910/5005] Time 0.478 (0.469) Data 0.000 (0.006) Loss 4.3122 (4.4978) Prec@1 16.016 (13.770) Prec@5 38.672 (32.763)
Epoch: [2][920/5005] Time 0.459 (0.469) Data 0.000 (0.006) Loss 4.3224 (4.4966) Prec@1 16.016 (13.783) Prec@5 36.328 (32.790)
Epoch: [2][930/5005] Time 0.476 (0.469) Data 0.000 (0.006) Loss 4.6211 (4.4955) Prec@1 12.109 (13.800) Prec@5 32.812 (32.820)
Epoch: [2][940/5005] Time 0.476 (0.469) Data 0.000 (0.005) Loss 4.6124 (4.4946) Prec@1 12.109 (13.806) Prec@5 28.516 (32.823)
Epoch: [2][950/5005] Time 0.478 (0.469) Data 0.000 (0.005) Loss 4.5725 (4.4933) Prec@1 12.500 (13.826) Prec@5 29.297 (32.844)
Epoch: [2][960/5005] Time 0.451 (0.469) Data 0.000 (0.005) Loss 4.0565 (4.4917) Prec@1 17.969 (13.849) Prec@5 40.234 (32.869)
Epoch: [2][970/5005] Time 0.477 (0.469) Data 0.000 (0.005) Loss 4.2815 (4.4908) Prec@1 15.625 (13.869) Prec@5 37.500 (32.887)
Epoch: [2][980/5005] Time 0.482 (0.469) Data 0.000 (0.005) Loss 4.4334 (4.4895) Prec@1 13.672 (13.880) Prec@5 34.375 (32.917)
Epoch: [2][990/5005] Time 0.469 (0.469) Data 0.000 (0.005) Loss 4.3411 (4.4887) Prec@1 16.797 (13.887) Prec@5 35.938 (32.927)
Epoch: [2][1000/5005] Time 0.457 (0.469) Data 0.000 (0.005) Loss 4.6713 (4.4888) Prec@1 11.719 (13.886) Prec@5 30.859 (32.928)
Epoch: [2][1010/5005] Time 0.456 (0.468) Data 0.000 (0.005) Loss 4.6714 (4.4886) Prec@1 12.109 (13.875) Prec@5 30.859 (32.924)
Epoch: [2][1020/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 4.5821 (4.4883) Prec@1 13.281 (13.881) Prec@5 32.031 (32.930)
Epoch: [2][1030/5005] Time 0.459 (0.468) Data 0.000 (0.005) Loss 4.6317 (4.4882) Prec@1 12.500 (13.886) Prec@5 30.859 (32.938)
Epoch: [2][1040/5005] Time 0.470 (0.468) Data 0.000 (0.005) Loss 4.6742 (4.4883) Prec@1 11.328 (13.890) Prec@5 32.422 (32.949)
Epoch: [2][1050/5005] Time 0.474 (0.468) Data 0.000 (0.005) Loss 4.4424 (4.4868) Prec@1 14.062 (13.904) Prec@5 37.109 (32.985)
Epoch: [2][1060/5005] Time 0.472 (0.468) Data 0.000 (0.005) Loss 4.5007 (4.4858) Prec@1 16.016 (13.906) Prec@5 34.375 (33.000)
Epoch: [2][1070/5005] Time 0.457 (0.468) Data 0.000 (0.005) Loss 4.3364 (4.4855) Prec@1 15.234 (13.912) Prec@5 34.375 (33.005)
Epoch: [2][1080/5005] Time 0.470 (0.468) Data 0.000 (0.005) Loss 4.4611 (4.4851) Prec@1 15.234 (13.918) Prec@5 32.812 (33.011)
Epoch: [2][1090/5005] Time 0.476 (0.468) Data 0.000 (0.005) Loss 4.5272 (4.4854) Prec@1 16.406 (13.924) Prec@5 32.031 (33.003)
Epoch: [2][1100/5005] Time 0.453 (0.468) Data 0.000 (0.005) Loss 4.2478 (4.4845) Prec@1 17.578 (13.929) Prec@5 39.453 (33.015)
Epoch: [2][1110/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 4.4542 (4.4842) Prec@1 18.359 (13.940) Prec@5 33.594 (33.033)
Epoch: [2][1120/5005] Time 0.465 (0.468) Data 0.000 (0.005) Loss 4.6794 (4.4837) Prec@1 10.938 (13.944) Prec@5 30.469 (33.045)
Epoch: [2][1130/5005] Time 0.476 (0.468) Data 0.000 (0.005) Loss 4.3871 (4.4837) Prec@1 16.406 (13.951) Prec@5 34.766 (33.045)
Epoch: [2][1140/5005] Time 0.469 (0.468) Data 0.000 (0.005) Loss 4.4862 (4.4833) Prec@1 13.281 (13.950) Prec@5 33.203 (33.057)
Epoch: [2][1150/5005] Time 0.477 (0.468) Data 0.000 (0.005) Loss 4.5740 (4.4826) Prec@1 12.891 (13.964) Prec@5 32.812 (33.067)
Epoch: [2][1160/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 4.4961 (4.4825) Prec@1 14.844 (13.967) Prec@5 35.938 (33.069)
Epoch: [2][1170/5005] Time 0.469 (0.468) Data 0.000 (0.004) Loss 4.4017 (4.4820) Prec@1 10.938 (13.963) Prec@5 28.906 (33.067)
Epoch: [2][1180/5005] Time 0.459 (0.468) Data 0.000 (0.004) Loss 4.3759 (4.4813) Prec@1 12.500 (13.966) Prec@5 33.984 (33.079)
Epoch: [2][1190/5005] Time 0.459 (0.468) Data 0.000 (0.004) Loss 4.2426 (4.4800) Prec@1 17.188 (13.980) Prec@5 39.062 (33.104)
Epoch: [2][1200/5005] Time 0.470 (0.468) Data 0.000 (0.004) Loss 4.4431 (4.4793) Prec@1 15.234 (13.993) Prec@5 36.328 (33.127)
Epoch: [2][1210/5005] Time 0.471 (0.468) Data 0.000 (0.004) Loss 4.3465 (4.4789) Prec@1 16.016 (14.001) Prec@5 34.766 (33.133)
Epoch: [2][1220/5005] Time 0.470 (0.468) Data 0.000 (0.004) Loss 4.4891 (4.4783) Prec@1 9.375 (13.999) Prec@5 30.469 (33.145)
Epoch: [2][1230/5005] Time 0.474 (0.468) Data 0.000 (0.004) Loss 4.5869 (4.4774) Prec@1 14.062 (14.016) Prec@5 30.859 (33.166)
Epoch: [2][1240/5005] Time 0.480 (0.468) Data 0.000 (0.004) Loss 4.4560 (4.4772) Prec@1 13.672 (14.023) Prec@5 34.766 (33.174)
Epoch: [2][1250/5005] Time 0.454 (0.468) Data 0.000 (0.004) Loss 4.4781 (4.4773) Prec@1 18.359 (14.029) Prec@5 35.938 (33.184)
Epoch: [2][1260/5005] Time 0.452 (0.468) Data 0.000 (0.004) Loss 4.4231 (4.4766) Prec@1 17.578 (14.041) Prec@5 35.547 (33.201)
Epoch: [2][1270/5005] Time 0.471 (0.468) Data 0.000 (0.004) Loss 4.5368 (4.4761) Prec@1 14.453 (14.057) Prec@5 33.594 (33.211)
Epoch: [2][1280/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 4.5247 (4.4758) Prec@1 17.578 (14.069) Prec@5 34.375 (33.229)
Epoch: [2][1290/5005] Time 0.479 (0.467) Data 0.000 (0.004) Loss 4.2852 (4.4746) Prec@1 13.281 (14.085) Prec@5 39.062 (33.266)
Epoch: [2][1300/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 4.4290 (4.4740) Prec@1 12.109 (14.087) Prec@5 33.203 (33.275)
Epoch: [2][1310/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 4.4060 (4.4730) Prec@1 17.578 (14.098) Prec@5 33.984 (33.293)
Epoch: [2][1320/5005] Time 0.475 (0.467) Data 0.000 (0.004) Loss 4.0528 (4.4722) Prec@1 16.797 (14.112) Prec@5 44.531 (33.308)
Epoch: [2][1330/5005] Time 0.462 (0.467) Data 0.000 (0.004) Loss 4.3701 (4.4711) Prec@1 15.625 (14.124) Prec@5 34.375 (33.336)
Epoch: [2][1340/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 4.4779 (4.4706) Prec@1 13.281 (14.131) Prec@5 31.250 (33.345)
Epoch: [2][1350/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 4.2920 (4.4702) Prec@1 15.234 (14.135) Prec@5 36.719 (33.351)
Epoch: [2][1360/5005] Time 0.472 (0.467) Data 0.000 (0.004) Loss 4.2191 (4.4696) Prec@1 17.188 (14.137) Prec@5 43.359 (33.360)
Epoch: [2][1370/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 4.3033 (4.4687) Prec@1 16.406 (14.144) Prec@5 41.016 (33.381)
Epoch: [2][1380/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 4.5475 (4.4684) Prec@1 16.797 (14.149) Prec@5 31.250 (33.386)
Epoch: [2][1390/5005] Time 0.464 (0.467) Data 0.000 (0.004) Loss 4.4413 (4.4674) Prec@1 14.453 (14.163) Prec@5 31.641 (33.402)
Epoch: [2][1400/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 4.3249 (4.4672) Prec@1 18.750 (14.168) Prec@5 35.938 (33.402)
Epoch: [2][1410/5005] Time 0.475 (0.467) Data 0.000 (0.004) Loss 4.4099 (4.4667) Prec@1 14.453 (14.182) Prec@5 34.375 (33.426)
Epoch: [2][1420/5005] Time 0.433 (0.467) Data 0.000 (0.004) Loss 4.3658 (4.4659) Prec@1 17.188 (14.198) Prec@5 36.719 (33.430)
Epoch: [2][1430/5005] Time 0.447 (0.467) Data 0.000 (0.004) Loss 4.4622 (4.4649) Prec@1 15.234 (14.206) Prec@5 35.156 (33.446)
Epoch: [2][1440/5005] Time 0.467 (0.467) Data 0.000 (0.004) Loss 4.2756 (4.4645) Prec@1 16.016 (14.216) Prec@5 35.156 (33.454)
Epoch: [2][1450/5005] Time 0.460 (0.467) Data 0.000 (0.004) Loss 4.3657 (4.4641) Prec@1 14.062 (14.223) Prec@5 35.938 (33.467)
Epoch: [2][1460/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 4.5275 (4.4636) Prec@1 12.500 (14.230) Prec@5 34.766 (33.479)
Epoch: [2][1470/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 4.3370 (4.4632) Prec@1 13.281 (14.232) Prec@5 32.812 (33.486)
Epoch: [2][1480/5005] Time 0.476 (0.467) Data 0.000 (0.004) Loss 4.3181 (4.4626) Prec@1 12.109 (14.240) Prec@5 33.984 (33.502)
Epoch: [2][1490/5005] Time 0.460 (0.467) Data 0.000 (0.004) Loss 4.3468 (4.4619) Prec@1 14.062 (14.251) Prec@5 31.641 (33.514)
Epoch: [2][1500/5005] Time 0.459 (0.467) Data 0.000 (0.004) Loss 4.3918 (4.4614) Prec@1 15.625 (14.252) Prec@5 32.812 (33.512)
Epoch: [2][1510/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 4.1829 (4.4604) Prec@1 16.406 (14.265) Prec@5 37.500 (33.530)
Epoch: [2][1520/5005] Time 0.478 (0.467) Data 0.000 (0.004) Loss 4.3745 (4.4599) Prec@1 15.234 (14.270) Prec@5 33.984 (33.538)
Epoch: [2][1530/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 4.3402 (4.4591) Prec@1 18.359 (14.289) Prec@5 35.156 (33.551)
Epoch: [2][1540/5005] Time 0.466 (0.467) Data 0.000 (0.003) Loss 4.3141 (4.4584) Prec@1 17.578 (14.296) Prec@5 38.672 (33.560)
Epoch: [2][1550/5005] Time 0.478 (0.467) Data 0.000 (0.003) Loss 4.4727 (4.4577) Prec@1 12.500 (14.308) Prec@5 31.250 (33.564)
Epoch: [2][1560/5005] Time 0.448 (0.467) Data 0.000 (0.003) Loss 4.4488 (4.4572) Prec@1 12.109 (14.310) Prec@5 31.641 (33.577)
Epoch: [2][1570/5005] Time 0.466 (0.467) Data 0.000 (0.003) Loss 4.3617 (4.4563) Prec@1 19.141 (14.322) Prec@5 38.672 (33.605)
Epoch: [2][1580/5005] Time 0.450 (0.467) Data 0.000 (0.003) Loss 4.2455 (4.4552) Prec@1 14.844 (14.336) Prec@5 38.281 (33.633)
Epoch: [2][1590/5005] Time 0.461 (0.467) Data 0.000 (0.003) Loss 4.4014 (4.4541) Prec@1 14.062 (14.354) Prec@5 34.375 (33.655)
Epoch: [2][1600/5005] Time 0.469 (0.467) Data 0.000 (0.003) Loss 4.4233 (4.4533) Prec@1 12.500 (14.359) Prec@5 31.641 (33.658)
Epoch: [2][1610/5005] Time 0.475 (0.467) Data 0.000 (0.003) Loss 4.1737 (4.4520) Prec@1 18.359 (14.370) Prec@5 34.766 (33.681)
Epoch: [2][1620/5005] Time 0.451 (0.467) Data 0.000 (0.003) Loss 4.2000 (4.4510) Prec@1 18.359 (14.379) Prec@5 38.281 (33.694)
Epoch: [2][1630/5005] Time 0.451 (0.467) Data 0.000 (0.003) Loss 4.2431 (4.4503) Prec@1 18.359 (14.389) Prec@5 38.672 (33.708)
Epoch: [2][1640/5005] Time 0.473 (0.467) Data 0.000 (0.003) Loss 4.2251 (4.4495) Prec@1 14.844 (14.398) Prec@5 35.547 (33.727)
Epoch: [2][1650/5005] Time 0.454 (0.467) Data 0.000 (0.003) Loss 4.4067 (4.4486) Prec@1 17.188 (14.405) Prec@5 40.234 (33.745)
Epoch: [2][1660/5005] Time 0.465 (0.467) Data 0.000 (0.003) Loss 4.5518 (4.4483) Prec@1 12.891 (14.407) Prec@5 35.156 (33.754)
Epoch: [2][1670/5005] Time 0.455 (0.467) Data 0.000 (0.003) Loss 4.0927 (4.4475) Prec@1 17.969 (14.417) Prec@5 41.797 (33.769)
Epoch: [2][1680/5005] Time 0.454 (0.467) Data 0.000 (0.003) Loss 4.2910 (4.4464) Prec@1 16.406 (14.423) Prec@5 37.891 (33.788)
Epoch: [2][1690/5005] Time 0.469 (0.467) Data 0.000 (0.003) Loss 4.4338 (4.4457) Prec@1 14.062 (14.435) Prec@5 33.984 (33.798)
Epoch: [2][1700/5005] Time 0.471 (0.467) Data 0.000 (0.003) Loss 4.2447 (4.4451) Prec@1 16.016 (14.444) Prec@5 43.359 (33.816)
Epoch: [2][1710/5005] Time 0.453 (0.467) Data 0.000 (0.003) Loss 4.2320 (4.4443) Prec@1 12.891 (14.455) Prec@5 37.891 (33.828)
Epoch: [2][1720/5005] Time 0.468 (0.467) Data 0.000 (0.003) Loss 4.3395 (4.4437) Prec@1 14.062 (14.464) Prec@5 36.328 (33.844)
Epoch: [2][1730/5005] Time 0.470 (0.467) Data 0.000 (0.003) Loss 4.4957 (4.4432) Prec@1 12.891 (14.466) Prec@5 36.328 (33.854)
Epoch: [2][1740/5005] Time 0.470 (0.467) Data 0.000 (0.003) Loss 4.2201 (4.4425) Prec@1 17.969 (14.478) Prec@5 37.500 (33.865)
Epoch: [2][1750/5005] Time 0.463 (0.467) Data 0.000 (0.003) Loss 4.3112 (4.4420) Prec@1 18.359 (14.484) Prec@5 35.938 (33.875)
Epoch: [2][1760/5005] Time 0.435 (0.466) Data 0.000 (0.003) Loss 4.3119 (4.4412) Prec@1 16.016 (14.499) Prec@5 37.891 (33.895)
Epoch: [2][1770/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 3.9915 (4.4404) Prec@1 24.219 (14.509) Prec@5 42.578 (33.914)
Epoch: [2][1780/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 4.3844 (4.4403) Prec@1 16.406 (14.512) Prec@5 39.062 (33.918)
Epoch: [2][1790/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 4.5338 (4.4399) Prec@1 13.672 (14.516) Prec@5 35.547 (33.927)
Epoch: [2][1800/5005] Time 0.446 (0.466) Data 0.000 (0.003) Loss 4.3155 (4.4395) Prec@1 17.969 (14.519) Prec@5 39.453 (33.936)
Epoch: [2][1810/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 4.4419 (4.4391) Prec@1 13.281 (14.524) Prec@5 27.734 (33.939)
Epoch: [2][1820/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 4.1016 (4.4383) Prec@1 16.797 (14.532) Prec@5 40.234 (33.961)
Epoch: [2][1830/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 4.3445 (4.4375) Prec@1 15.234 (14.542) Prec@5 39.062 (33.976)
Epoch: [2][1840/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 4.4210 (4.4372) Prec@1 12.500 (14.547) Prec@5 33.594 (33.982)
Epoch: [2][1850/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 4.3742 (4.4367) Prec@1 15.625 (14.557) Prec@5 36.328 (33.999)
Epoch: [2][1860/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 4.3906 (4.4363) Prec@1 14.453 (14.557) Prec@5 33.203 (34.007)
Epoch: [2][1870/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 4.5075 (4.4361) Prec@1 12.109 (14.561) Prec@5 32.812 (34.004)
Epoch: [2][1880/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 4.4202 (4.4353) Prec@1 16.016 (14.571) Prec@5 37.500 (34.025)
Epoch: [2][1890/5005] Time 0.460 (0.466) Data 0.000 (0.003) Loss 4.4547 (4.4347) Prec@1 16.406 (14.578) Prec@5 34.766 (34.035)
Epoch: [2][1900/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 4.4267 (4.4340) Prec@1 14.062 (14.581) Prec@5 35.156 (34.050)
Epoch: [2][1910/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 4.1630 (4.4329) Prec@1 17.578 (14.591) Prec@5 39.062 (34.069)
Epoch: [2][1920/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 4.5654 (4.4324) Prec@1 14.844 (14.602) Prec@5 33.203 (34.079)
Epoch: [2][1930/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 4.3151 (4.4319) Prec@1 13.672 (14.608) Prec@5 29.688 (34.089)
Epoch: [2][1940/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 4.3119 (4.4314) Prec@1 20.312 (14.618) Prec@5 37.109 (34.101)
Epoch: [2][1950/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 4.1719 (4.4312) Prec@1 21.484 (14.629) Prec@5 40.234 (34.106)
Epoch: [2][1960/5005] Time 0.464 (0.466) Data 0.000 (0.003) Loss 4.0472 (4.4303) Prec@1 19.141 (14.639) Prec@5 39.453 (34.125)
Epoch: [2][1970/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 4.3884 (4.4301) Prec@1 17.188 (14.644) Prec@5 33.984 (34.134)
Epoch: [2][1980/5005] Time 0.464 (0.466) Data 0.000 (0.003) Loss 4.4622 (4.4295) Prec@1 17.578 (14.658) Prec@5 32.422 (34.150)
Epoch: [2][1990/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 4.4523 (4.4288) Prec@1 16.797 (14.670) Prec@5 33.594 (34.164)
Epoch: [2][2000/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 4.2509 (4.4278) Prec@1 16.797 (14.680) Prec@5 35.938 (34.175)
Epoch: [2][2010/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 4.5090 (4.4279) Prec@1 13.672 (14.681) Prec@5 29.688 (34.171)
Epoch: [2][2020/5005] Time 0.445 (0.466) Data 0.000 (0.003) Loss 4.1803 (4.4271) Prec@1 16.406 (14.691) Prec@5 37.109 (34.184)
Epoch: [2][2030/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 4.1480 (4.4265) Prec@1 17.969 (14.696) Prec@5 39.062 (34.195)
Epoch: [2][2040/5005] Time 0.474 (0.466) Data 0.000 (0.003) Loss 4.1257 (4.4257) Prec@1 15.625 (14.700) Prec@5 41.406 (34.214)
Epoch: [2][2050/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 4.1955 (4.4246) Prec@1 14.453 (14.713) Prec@5 39.453 (34.235)
Epoch: [2][2060/5005] Time 0.453 (0.466) Data 0.001 (0.003) Loss 4.4714 (4.4243) Prec@1 13.672 (14.715) Prec@5 33.984 (34.245)
Epoch: [2][2070/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 4.4263 (4.4235) Prec@1 15.625 (14.726) Prec@5 33.594 (34.261)
Epoch: [2][2080/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 4.4215 (4.4229) Prec@1 12.500 (14.731) Prec@5 35.156 (34.277)
Epoch: [2][2090/5005] Time 0.474 (0.466) Data 0.000 (0.003) Loss 4.1750 (4.4221) Prec@1 17.578 (14.743) Prec@5 37.109 (34.294)
Epoch: [2][2100/5005] Time 0.480 (0.466) Data 0.000 (0.003) Loss 4.2227 (4.4218) Prec@1 16.406 (14.749) Prec@5 37.891 (34.304)
Epoch: [2][2110/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 4.2033 (4.4209) Prec@1 18.359 (14.762) Prec@5 36.719 (34.321)
Epoch: [2][2120/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 4.2359 (4.4203) Prec@1 19.141 (14.775) Prec@5 39.844 (34.335)
Epoch: [2][2130/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 4.1846 (4.4197) Prec@1 19.922 (14.785) Prec@5 39.453 (34.342)
Epoch: [2][2140/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 4.1810 (4.4191) Prec@1 16.406 (14.790) Prec@5 41.016 (34.357)
Epoch: [2][2150/5005] Time 0.436 (0.466) Data 0.000 (0.003) Loss 4.2761 (4.4182) Prec@1 15.234 (14.800) Prec@5 34.375 (34.370)
Epoch: [2][2160/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 4.0816 (4.4175) Prec@1 18.359 (14.808) Prec@5 36.719 (34.383)
Epoch: [2][2170/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 4.1716 (4.4170) Prec@1 16.797 (14.809) Prec@5 37.891 (34.391)
Epoch: [2][2180/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 4.3267 (4.4167) Prec@1 17.188 (14.819) Prec@5 35.938 (34.397)
Epoch: [2][2190/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 4.3672 (4.4163) Prec@1 16.016 (14.832) Prec@5 32.812 (34.408)
Epoch: [2][2200/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 4.2292 (4.4156) Prec@1 17.969 (14.841) Prec@5 39.062 (34.427)
Epoch: [2][2210/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 4.2605 (4.4152) Prec@1 16.406 (14.846) Prec@5 41.016 (34.431)
Epoch: [2][2220/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 4.3991 (4.4148) Prec@1 13.281 (14.850) Prec@5 33.984 (34.443)
Epoch: [2][2230/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 4.0520 (4.4141) Prec@1 15.234 (14.856) Prec@5 40.625 (34.457)
Epoch: [2][2240/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 4.0060 (4.4136) Prec@1 21.094 (14.863) Prec@5 37.500 (34.469)
Epoch: [2][2250/5005] Time 0.481 (0.466) Data 0.000 (0.003) Loss 4.1595 (4.4134) Prec@1 19.141 (14.867) Prec@5 36.719 (34.473)
Epoch: [2][2260/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 4.1496 (4.4125) Prec@1 16.016 (14.872) Prec@5 37.109 (34.484)
Epoch: [2][2270/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 4.0723 (4.4119) Prec@1 18.359 (14.880) Prec@5 41.016 (34.494)
Epoch: [2][2280/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 4.2177 (4.4112) Prec@1 19.141 (14.889) Prec@5 38.672 (34.510)
Epoch: [2][2290/5005] Time 0.457 (0.466) Data 0.000 (0.002) Loss 4.1854 (4.4103) Prec@1 16.016 (14.902) Prec@5 36.719 (34.525)
Epoch: [2][2300/5005] Time 0.473 (0.466) Data 0.000 (0.002) Loss 4.0892 (4.4095) Prec@1 17.578 (14.909) Prec@5 39.844 (34.539)
Epoch: [2][2310/5005] Time 0.465 (0.466) Data 0.000 (0.002) Loss 4.4172 (4.4093) Prec@1 14.844 (14.915) Prec@5 34.375 (34.544)
Epoch: [2][2320/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 4.2846 (4.4086) Prec@1 12.891 (14.923) Prec@5 38.672 (34.555)
Epoch: [2][2330/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 4.1054 (4.4078) Prec@1 21.094 (14.937) Prec@5 39.453 (34.572)
Epoch: [2][2340/5005] Time 0.453 (0.466) Data 0.000 (0.002) Loss 4.2741 (4.4068) Prec@1 17.578 (14.951) Prec@5 35.938 (34.594)
Epoch: [2][2350/5005] Time 0.473 (0.466) Data 0.000 (0.002) Loss 4.3502 (4.4063) Prec@1 14.844 (14.956) Prec@5 36.328 (34.604)
Epoch: [2][2360/5005] Time 0.463 (0.466) Data 0.000 (0.002) Loss 4.4379 (4.4057) Prec@1 15.234 (14.965) Prec@5 34.375 (34.619)
Epoch: [2][2370/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 4.2272 (4.4053) Prec@1 16.406 (14.970) Prec@5 37.891 (34.628)
Epoch: [2][2380/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 4.4011 (4.4049) Prec@1 17.969 (14.977) Prec@5 32.812 (34.632)
Epoch: [2][2390/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 4.2881 (4.4045) Prec@1 19.141 (14.984) Prec@5 39.062 (34.639)
Epoch: [2][2400/5005] Time 0.473 (0.466) Data 0.000 (0.002) Loss 4.1375 (4.4037) Prec@1 18.359 (14.991) Prec@5 40.234 (34.651)
Epoch: [2][2410/5005] Time 0.477 (0.466) Data 0.000 (0.002) Loss 4.1876 (4.4029) Prec@1 17.969 (15.001) Prec@5 37.109 (34.673)
Epoch: [2][2420/5005] Time 0.437 (0.466) Data 0.000 (0.002) Loss 4.2627 (4.4024) Prec@1 16.406 (15.007) Prec@5 35.938 (34.685)
Epoch: [2][2430/5005] Time 0.453 (0.466) Data 0.000 (0.002) Loss 4.1110 (4.4014) Prec@1 18.359 (15.021) Prec@5 39.453 (34.702)
Epoch: [2][2440/5005] Time 0.477 (0.466) Data 0.000 (0.002) Loss 4.3379 (4.4009) Prec@1 15.625 (15.029) Prec@5 31.641 (34.708)
Epoch: [2][2450/5005] Time 0.474 (0.466) Data 0.000 (0.002) Loss 4.2215 (4.4002) Prec@1 19.531 (15.035) Prec@5 41.016 (34.721)
Epoch: [2][2460/5005] Time 0.467 (0.466) Data 0.001 (0.002) Loss 4.2752 (4.3996) Prec@1 18.750 (15.045) Prec@5 33.984 (34.731)
Epoch: [2][2470/5005] Time 0.482 (0.466) Data 0.000 (0.002) Loss 4.1179 (4.3989) Prec@1 16.406 (15.058) Prec@5 35.547 (34.741)
Epoch: [2][2480/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 4.1687 (4.3982) Prec@1 19.531 (15.065) Prec@5 38.281 (34.748)
Epoch: [2][2490/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 4.4814 (4.3975) Prec@1 12.109 (15.073) Prec@5 31.641 (34.755)
Epoch: [2][2500/5005] Time 0.476 (0.466) Data 0.001 (0.002) Loss 4.3097 (4.3969) Prec@1 14.844 (15.081) Prec@5 36.719 (34.767)
Epoch: [2][2510/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 4.4682 (4.3966) Prec@1 16.406 (15.086) Prec@5 35.938 (34.775)
Epoch: [2][2520/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 4.1956 (4.3959) Prec@1 17.578 (15.099) Prec@5 41.406 (34.796)
Epoch: [2][2530/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 4.2225 (4.3951) Prec@1 16.406 (15.110) Prec@5 39.844 (34.815)
Epoch: [2][2540/5005] Time 0.476 (0.466) Data 0.000 (0.002) Loss 4.1936 (4.3944) Prec@1 20.703 (15.124) Prec@5 39.844 (34.829)
Epoch: [2][2550/5005] Time 0.451 (0.466) Data 0.000 (0.002) Loss 4.3400 (4.3935) Prec@1 16.016 (15.134) Prec@5 33.203 (34.844)
Epoch: [2][2560/5005] Time 0.450 (0.466) Data 0.000 (0.002) Loss 4.4235 (4.3932) Prec@1 12.109 (15.140) Prec@5 32.422 (34.851)
Epoch: [2][2570/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 4.2537 (4.3923) Prec@1 16.406 (15.152) Prec@5 37.500 (34.868)
Epoch: [2][2580/5005] Time 0.465 (0.466) Data 0.000 (0.002) Loss 4.0461 (4.3916) Prec@1 21.094 (15.163) Prec@5 39.453 (34.883)
Epoch: [2][2590/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 4.4120 (4.3910) Prec@1 14.844 (15.167) Prec@5 37.891 (34.897)
Epoch: [2][2600/5005] Time 0.474 (0.466) Data 0.000 (0.002) Loss 4.3990 (4.3902) Prec@1 16.016 (15.174) Prec@5 37.500 (34.913)
Epoch: [2][2610/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 4.0538 (4.3894) Prec@1 21.875 (15.185) Prec@5 41.016 (34.929)
Epoch: [2][2620/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 4.1286 (4.3887) Prec@1 17.188 (15.191) Prec@5 38.281 (34.943)
Epoch: [2][2630/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 3.9719 (4.3881) Prec@1 19.922 (15.199) Prec@5 43.359 (34.959)
Epoch: [2][2640/5005] Time 0.450 (0.466) Data 0.000 (0.002) Loss 4.4411 (4.3873) Prec@1 15.234 (15.210) Prec@5 37.891 (34.974)
Epoch: [2][2650/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 4.0603 (4.3866) Prec@1 17.969 (15.219) Prec@5 42.578 (34.991)
Epoch: [2][2660/5005] Time 0.450 (0.466) Data 0.000 (0.002) Loss 4.3553 (4.3861) Prec@1 14.453 (15.229) Prec@5 36.328 (35.006)
Epoch: [2][2670/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 4.2654 (4.3858) Prec@1 19.531 (15.235) Prec@5 35.938 (35.014)
Epoch: [2][2680/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 4.2501 (4.3853) Prec@1 18.750 (15.242) Prec@5 37.500 (35.021)
Epoch: [2][2690/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 4.3688 (4.3848) Prec@1 16.406 (15.250) Prec@5 32.031 (35.027)
Epoch: [2][2700/5005] Time 0.466 (0.466) Data 0.000 (0.002) Loss 4.3062 (4.3844) Prec@1 10.938 (15.252) Prec@5 34.375 (35.035)
Epoch: [2][2710/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 4.1721 (4.3838) Prec@1 18.359 (15.258) Prec@5 42.188 (35.048)
Epoch: [2][2720/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 4.0839 (4.3832) Prec@1 19.922 (15.264) Prec@5 38.672 (35.059)
Epoch: [2][2730/5005] Time 0.485 (0.466) Data 0.000 (0.002) Loss 4.0056 (4.3825) Prec@1 18.359 (15.272) Prec@5 41.797 (35.070)
Epoch: [2][2740/5005] Time 0.475 (0.466) Data 0.000 (0.002) Loss 4.2484 (4.3820) Prec@1 16.016 (15.277) Prec@5 38.672 (35.083)
Epoch: [2][2750/5005] Time 0.450 (0.466) Data 0.000 (0.002) Loss 4.0703 (4.3816) Prec@1 21.094 (15.283) Prec@5 43.359 (35.091)
Epoch: [2][2760/5005] Time 0.451 (0.466) Data 0.000 (0.002) Loss 4.0165 (4.3810) Prec@1 18.750 (15.293) Prec@5 41.797 (35.106)
Epoch: [2][2770/5005] Time 0.455 (0.466) Data 0.000 (0.002) Loss 4.2808 (4.3807) Prec@1 16.016 (15.299) Prec@5 34.766 (35.116)
Epoch: [2][2780/5005] Time 0.476 (0.466) Data 0.000 (0.002) Loss 3.7873 (4.3801) Prec@1 23.828 (15.306) Prec@5 46.484 (35.128)
Epoch: [2][2790/5005] Time 0.447 (0.466) Data 0.000 (0.002) Loss 4.1459 (4.3797) Prec@1 17.969 (15.307) Prec@5 41.016 (35.135)
Epoch: [2][2800/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 4.4125 (4.3791) Prec@1 16.797 (15.312) Prec@5 34.375 (35.146)
Epoch: [2][2810/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 4.1344 (4.3784) Prec@1 19.141 (15.320) Prec@5 44.141 (35.164)
Epoch: [2][2820/5005] Time 0.464 (0.466) Data 0.000 (0.002) Loss 4.2845 (4.3777) Prec@1 16.406 (15.327) Prec@5 35.156 (35.175)
Epoch: [2][2830/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 4.2332 (4.3771) Prec@1 19.141 (15.335) Prec@5 37.109 (35.186)
Epoch: [2][2840/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 4.0276 (4.3762) Prec@1 16.406 (15.345) Prec@5 39.453 (35.204)
Epoch: [2][2850/5005] Time 0.473 (0.466) Data 0.000 (0.002) Loss 4.0744 (4.3757) Prec@1 16.406 (15.351) Prec@5 38.672 (35.215)
Epoch: [2][2860/5005] Time 0.478 (0.466) Data 0.000 (0.002) Loss 4.1694 (4.3751) Prec@1 17.969 (15.360) Prec@5 38.281 (35.228)
Epoch: [2][2870/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 4.1542 (4.3745) Prec@1 12.891 (15.364) Prec@5 38.672 (35.234)
Epoch: [2][2880/5005] Time 0.451 (0.466) Data 0.000 (0.002) Loss 4.2997 (4.3741) Prec@1 16.797 (15.368) Prec@5 36.719 (35.241)
Epoch: [2][2890/5005] Time 0.445 (0.466) Data 0.000 (0.002) Loss 4.2731 (4.3733) Prec@1 19.141 (15.375) Prec@5 40.234 (35.254)
Epoch: [2][2900/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 4.2480 (4.3728) Prec@1 15.625 (15.385) Prec@5 41.016 (35.269)
Epoch: [2][2910/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 4.3512 (4.3723) Prec@1 15.625 (15.388) Prec@5 30.859 (35.273)
Epoch: [2][2920/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 4.6167 (4.3720) Prec@1 12.109 (15.393) Prec@5 31.641 (35.282)
Epoch: [2][2930/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 4.0818 (4.3716) Prec@1 17.188 (15.396) Prec@5 35.156 (35.288)
Epoch: [2][2940/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 3.9745 (4.3709) Prec@1 18.750 (15.405) Prec@5 41.797 (35.301)
Epoch: [2][2950/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 4.2934 (4.3707) Prec@1 14.844 (15.409) Prec@5 35.938 (35.308)
Epoch: [2][2960/5005] Time 0.471 (0.466) Data 0.000 (0.002) Loss 4.1251 (4.3701) Prec@1 19.531 (15.412) Prec@5 40.625 (35.316)
Epoch: [2][2970/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 4.3284 (4.3695) Prec@1 12.891 (15.421) Prec@5 37.109 (35.328)
Epoch: [2][2980/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 4.1620 (4.3689) Prec@1 18.359 (15.429) Prec@5 40.234 (35.341)
Epoch: [2][2990/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 4.4574 (4.3685) Prec@1 15.625 (15.434) Prec@5 29.688 (35.349)
Epoch: [2][3000/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 3.8047 (4.3679) Prec@1 22.266 (15.443) Prec@5 46.875 (35.358)
Epoch: [2][3010/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 4.2521 (4.3673) Prec@1 18.359 (15.450) Prec@5 36.719 (35.368)
Epoch: [2][3020/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 4.0366 (4.3665) Prec@1 20.312 (15.456) Prec@5 37.891 (35.384)
Epoch: [2][3030/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 4.1092 (4.3660) Prec@1 17.969 (15.465) Prec@5 43.359 (35.392)
Epoch: [2][3040/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 4.1611 (4.3655) Prec@1 18.359 (15.470) Prec@5 39.062 (35.400)
Epoch: [2][3050/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 4.2624 (4.3652) Prec@1 17.969 (15.478) Prec@5 39.453 (35.411)
Epoch: [2][3060/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 4.2180 (4.3645) Prec@1 16.797 (15.484) Prec@5 40.234 (35.422)
Epoch: [2][3070/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 4.2438 (4.3640) Prec@1 17.969 (15.489) Prec@5 37.109 (35.429)
Epoch: [2][3080/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 4.0412 (4.3636) Prec@1 22.266 (15.496) Prec@5 43.750 (35.437)
Epoch: [2][3090/5005] Time 0.479 (0.465) Data 0.000 (0.002) Loss 4.3097 (4.3632) Prec@1 16.406 (15.501) Prec@5 34.766 (35.443)
Epoch: [2][3100/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 4.3621 (4.3625) Prec@1 14.062 (15.509) Prec@5 36.328 (35.460)
Epoch: [2][3110/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 3.9241 (4.3618) Prec@1 22.266 (15.516) Prec@5 41.797 (35.470)
Epoch: [2][3120/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 4.3524 (4.3614) Prec@1 16.016 (15.523) Prec@5 35.938 (35.478)
Epoch: [2][3130/5005] Time 0.442 (0.465) Data 0.000 (0.002) Loss 4.4457 (4.3609) Prec@1 14.844 (15.528) Prec@5 33.203 (35.487)
Epoch: [2][3140/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 3.9289 (4.3602) Prec@1 21.094 (15.540) Prec@5 46.484 (35.504)
Epoch: [2][3150/5005] Time 0.478 (0.465) Data 0.000 (0.002) Loss 4.2622 (4.3597) Prec@1 19.141 (15.548) Prec@5 35.938 (35.514)
Epoch: [2][3160/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 4.0305 (4.3590) Prec@1 21.094 (15.557) Prec@5 42.188 (35.528)
Epoch: [2][3170/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 4.0162 (4.3585) Prec@1 21.484 (15.562) Prec@5 42.969 (35.536)
Epoch: [2][3180/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 4.1511 (4.3578) Prec@1 20.703 (15.574) Prec@5 39.453 (35.551)
Epoch: [2][3190/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 4.3013 (4.3572) Prec@1 17.188 (15.580) Prec@5 33.984 (35.558)
Epoch: [2][3200/5005] Time 0.432 (0.465) Data 0.000 (0.002) Loss 4.0650 (4.3565) Prec@1 16.406 (15.588) Prec@5 40.625 (35.571)
Epoch: [2][3210/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.9609 (4.3559) Prec@1 19.141 (15.596) Prec@5 42.188 (35.585)
Epoch: [2][3220/5005] Time 0.438 (0.465) Data 0.000 (0.002) Loss 4.1782 (4.3554) Prec@1 20.312 (15.601) Prec@5 38.281 (35.593)
Epoch: [2][3230/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 4.1874 (4.3546) Prec@1 17.578 (15.612) Prec@5 40.234 (35.608)
Epoch: [2][3240/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 4.2898 (4.3541) Prec@1 16.797 (15.619) Prec@5 39.062 (35.619)
Epoch: [2][3250/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 4.1876 (4.3534) Prec@1 19.531 (15.628) Prec@5 39.062 (35.631)
Epoch: [2][3260/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 4.3817 (4.3529) Prec@1 11.328 (15.634) Prec@5 33.203 (35.642)
Epoch: [2][3270/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 4.1880 (4.3523) Prec@1 16.797 (15.639) Prec@5 34.766 (35.653)
Epoch: [2][3280/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 4.1529 (4.3518) Prec@1 17.578 (15.643) Prec@5 40.234 (35.665)
Epoch: [2][3290/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 4.1325 (4.3511) Prec@1 19.531 (15.653) Prec@5 41.016 (35.676)
Epoch: [2][3300/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 4.1492 (4.3507) Prec@1 15.234 (15.658) Prec@5 37.500 (35.681)
Epoch: [2][3310/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 4.2007 (4.3503) Prec@1 16.406 (15.663) Prec@5 38.672 (35.691)
Epoch: [2][3320/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 4.0471 (4.3497) Prec@1 17.188 (15.674) Prec@5 37.109 (35.699)
Epoch: [2][3330/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 4.1299 (4.3493) Prec@1 17.188 (15.678) Prec@5 39.453 (35.710)
Epoch: [2][3340/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 4.2955 (4.3487) Prec@1 14.062 (15.685) Prec@5 37.109 (35.720)
Epoch: [2][3350/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 4.4716 (4.3481) Prec@1 12.500 (15.693) Prec@5 33.594 (35.732)
Epoch: [2][3360/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 4.4148 (4.3475) Prec@1 12.109 (15.700) Prec@5 33.594 (35.744)
Epoch: [2][3370/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 4.1247 (4.3468) Prec@1 19.141 (15.707) Prec@5 42.188 (35.758)
Epoch: [2][3380/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 4.0145 (4.3463) Prec@1 20.703 (15.713) Prec@5 41.406 (35.769)
Epoch: [2][3390/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 4.2409 (4.3457) Prec@1 16.016 (15.721) Prec@5 38.672 (35.786)
Epoch: [2][3400/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 4.0283 (4.3450) Prec@1 16.406 (15.728) Prec@5 44.141 (35.797)
Epoch: [2][3410/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 4.0813 (4.3445) Prec@1 16.016 (15.733) Prec@5 40.625 (35.807)
Epoch: [2][3420/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 4.1155 (4.3439) Prec@1 19.141 (15.743) Prec@5 41.797 (35.819)
Epoch: [2][3430/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.8652 (4.3432) Prec@1 20.703 (15.750) Prec@5 42.969 (35.837)
Epoch: [2][3440/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 3.9603 (4.3426) Prec@1 20.703 (15.759) Prec@5 45.703 (35.848)
Epoch: [2][3450/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 4.2778 (4.3422) Prec@1 21.094 (15.766) Prec@5 40.625 (35.859)
Epoch: [2][3460/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 4.1526 (4.3414) Prec@1 17.578 (15.775) Prec@5 41.406 (35.878)
Epoch: [2][3470/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 4.2682 (4.3409) Prec@1 16.797 (15.777) Prec@5 38.672 (35.887)
Epoch: [2][3480/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 4.0928 (4.3402) Prec@1 18.359 (15.783) Prec@5 40.625 (35.898)
Epoch: [2][3490/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 4.2554 (4.3396) Prec@1 15.625 (15.792) Prec@5 35.156 (35.913)
Epoch: [2][3500/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 4.3860 (4.3392) Prec@1 15.234 (15.796) Prec@5 34.766 (35.919)
Epoch: [2][3510/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 4.0136 (4.3386) Prec@1 15.625 (15.803) Prec@5 39.453 (35.930)
Epoch: [2][3520/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.9305 (4.3379) Prec@1 23.828 (15.814) Prec@5 43.359 (35.940)
Epoch: [2][3530/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 4.1652 (4.3373) Prec@1 17.188 (15.823) Prec@5 39.062 (35.954)
Epoch: [2][3540/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 4.1592 (4.3366) Prec@1 19.141 (15.836) Prec@5 39.453 (35.970)
Epoch: [2][3550/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 4.0170 (4.3360) Prec@1 21.094 (15.845) Prec@5 42.188 (35.980)
Epoch: [2][3560/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 4.0334 (4.3354) Prec@1 19.922 (15.850) Prec@5 41.797 (35.992)
Epoch: [2][3570/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 4.0818 (4.3349) Prec@1 17.969 (15.858) Prec@5 40.625 (36.002)
Epoch: [2][3580/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 4.1774 (4.3343) Prec@1 17.578 (15.863) Prec@5 35.938 (36.011)
Epoch: [2][3590/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 4.2541 (4.3337) Prec@1 16.016 (15.871) Prec@5 35.547 (36.021)
Epoch: [2][3600/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 4.4926 (4.3333) Prec@1 16.016 (15.879) Prec@5 34.766 (36.030)
Epoch: [2][3610/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 4.2301 (4.3328) Prec@1 18.750 (15.885) Prec@5 37.500 (36.039)
Epoch: [2][3620/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 4.0797 (4.3319) Prec@1 13.672 (15.894) Prec@5 42.578 (36.055)
Epoch: [2][3630/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 3.8967 (4.3312) Prec@1 20.312 (15.906) Prec@5 43.750 (36.069)
Epoch: [2][3640/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 4.1408 (4.3306) Prec@1 16.406 (15.914) Prec@5 41.406 (36.082)
Epoch: [2][3650/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 4.3622 (4.3302) Prec@1 15.234 (15.915) Prec@5 33.984 (36.089)
Epoch: [2][3660/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 4.0348 (4.3298) Prec@1 20.312 (15.920) Prec@5 38.672 (36.096)
Epoch: [2][3670/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 4.0515 (4.3295) Prec@1 20.312 (15.925) Prec@5 40.625 (36.102)
Epoch: [2][3680/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 4.2156 (4.3290) Prec@1 14.453 (15.931) Prec@5 41.016 (36.111)
Epoch: [2][3690/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 4.2308 (4.3285) Prec@1 19.531 (15.939) Prec@5 37.109 (36.119)
Epoch: [2][3700/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 4.0192 (4.3281) Prec@1 22.656 (15.947) Prec@5 40.234 (36.129)
Epoch: [2][3710/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 4.0879 (4.3276) Prec@1 17.969 (15.952) Prec@5 39.844 (36.136)
Epoch: [2][3720/5005] Time 0.465 (0.464) Data 0.000 (0.002) Loss 4.1449 (4.3270) Prec@1 18.750 (15.960) Prec@5 40.234 (36.149)
Epoch: [2][3730/5005] Time 0.466 (0.464) Data 0.000 (0.002) Loss 4.0730 (4.3262) Prec@1 19.922 (15.967) Prec@5 42.969 (36.164)
Epoch: [2][3740/5005] Time 0.453 (0.464) Data 0.000 (0.002) Loss 4.2378 (4.3256) Prec@1 19.922 (15.975) Prec@5 35.938 (36.175)
Epoch: [2][3750/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.9593 (4.3251) Prec@1 19.922 (15.982) Prec@5 42.969 (36.188)
Epoch: [2][3760/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 4.2403 (4.3241) Prec@1 17.578 (15.992) Prec@5 37.500 (36.206)
Epoch: [2][3770/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 4.1270 (4.3238) Prec@1 18.750 (15.997) Prec@5 38.672 (36.215)
Epoch: [2][3780/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.8826 (4.3232) Prec@1 25.391 (16.006) Prec@5 45.312 (36.228)
Epoch: [2][3790/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 4.0702 (4.3226) Prec@1 20.703 (16.011) Prec@5 44.922 (36.238)
Epoch: [2][3800/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 4.0976 (4.3221) Prec@1 18.750 (16.015) Prec@5 40.625 (36.247)
Epoch: [2][3810/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 4.2602 (4.3215) Prec@1 15.234 (16.018) Prec@5 38.672 (36.258)
Epoch: [2][3820/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 4.1692 (4.3209) Prec@1 18.750 (16.025) Prec@5 39.844 (36.273)
Epoch: [2][3830/5005] Time 0.451 (0.464) Data 0.000 (0.002) Loss 4.1411 (4.3202) Prec@1 16.797 (16.033) Prec@5 38.281 (36.285)
Epoch: [2][3840/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 3.8193 (4.3194) Prec@1 17.578 (16.040) Prec@5 43.750 (36.299)
Epoch: [2][3850/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.9374 (4.3188) Prec@1 20.703 (16.047) Prec@5 42.188 (36.310)
Epoch: [2][3860/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.8604 (4.3181) Prec@1 21.484 (16.055) Prec@5 44.141 (36.320)
Epoch: [2][3870/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 4.0414 (4.3177) Prec@1 20.703 (16.060) Prec@5 39.844 (36.330)
Epoch: [2][3880/5005] Time 0.453 (0.464) Data 0.000 (0.002) Loss 4.0254 (4.3170) Prec@1 19.141 (16.069) Prec@5 42.969 (36.345)
Epoch: [2][3890/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 4.1290 (4.3164) Prec@1 16.797 (16.075) Prec@5 39.844 (36.358)
Epoch: [2][3900/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 4.0692 (4.3158) Prec@1 18.750 (16.083) Prec@5 43.359 (36.370)
Epoch: [2][3910/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 4.2502 (4.3154) Prec@1 17.188 (16.089) Prec@5 37.500 (36.377)
Epoch: [2][3920/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 4.0628 (4.3148) Prec@1 17.188 (16.096) Prec@5 39.062 (36.390)
Epoch: [2][3930/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.9197 (4.3142) Prec@1 19.922 (16.104) Prec@5 41.406 (36.401)
Epoch: [2][3940/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 4.0221 (4.3136) Prec@1 21.875 (16.116) Prec@5 43.750 (36.415)
Epoch: [2][3950/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 4.1366 (4.3131) Prec@1 19.141 (16.120) Prec@5 37.500 (36.422)
Epoch: [2][3960/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 4.1535 (4.3126) Prec@1 19.922 (16.129) Prec@5 41.406 (36.434)
Epoch: [2][3970/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.9782 (4.3119) Prec@1 23.828 (16.138) Prec@5 45.703 (36.446)
Epoch: [2][3980/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 4.2052 (4.3114) Prec@1 17.969 (16.143) Prec@5 39.062 (36.459)
Epoch: [2][3990/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 4.0676 (4.3107) Prec@1 21.094 (16.155) Prec@5 41.797 (36.472)
Epoch: [2][4000/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 4.1740 (4.3101) Prec@1 19.922 (16.163) Prec@5 40.625 (36.483)
Epoch: [2][4010/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 4.0485 (4.3097) Prec@1 17.578 (16.167) Prec@5 44.141 (36.491)
Epoch: [2][4020/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 4.3205 (4.3091) Prec@1 17.188 (16.174) Prec@5 37.109 (36.504)
Epoch: [2][4030/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 4.1846 (4.3085) Prec@1 21.484 (16.184) Prec@5 38.672 (36.515)
Epoch: [2][4040/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.9306 (4.3077) Prec@1 17.969 (16.192) Prec@5 40.625 (36.530)
Epoch: [2][4050/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 4.1552 (4.3073) Prec@1 17.188 (16.196) Prec@5 35.156 (36.536)
Epoch: [2][4060/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 4.1480 (4.3067) Prec@1 16.406 (16.203) Prec@5 40.625 (36.548)
Epoch: [2][4070/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 4.0989 (4.3063) Prec@1 16.406 (16.209) Prec@5 40.625 (36.557)
Epoch: [2][4080/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 4.2377 (4.3059) Prec@1 17.969 (16.212) Prec@5 37.891 (36.563)
Epoch: [2][4090/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 4.3382 (4.3054) Prec@1 15.625 (16.219) Prec@5 33.594 (36.572)
Epoch: [2][4100/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 4.0498 (4.3048) Prec@1 22.266 (16.226) Prec@5 42.578 (36.582)
Epoch: [2][4110/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 4.0186 (4.3041) Prec@1 18.750 (16.233) Prec@5 42.188 (36.596)
Epoch: [2][4120/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.6751 (4.3036) Prec@1 23.828 (16.237) Prec@5 47.656 (36.606)
Epoch: [2][4130/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 4.0583 (4.3030) Prec@1 18.750 (16.244) Prec@5 41.797 (36.618)
Epoch: [2][4140/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.9539 (4.3024) Prec@1 18.359 (16.250) Prec@5 42.969 (36.632)
Epoch: [2][4150/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.9941 (4.3017) Prec@1 19.922 (16.259) Prec@5 44.531 (36.645)
Epoch: [2][4160/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.9532 (4.3010) Prec@1 22.656 (16.267) Prec@5 42.578 (36.658)
Epoch: [2][4170/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 4.0379 (4.3006) Prec@1 19.141 (16.274) Prec@5 44.141 (36.671)
Epoch: [2][4180/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 4.2133 (4.3001) Prec@1 20.312 (16.279) Prec@5 39.062 (36.681)
Epoch: [2][4190/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 4.0375 (4.2997) Prec@1 22.266 (16.283) Prec@5 42.969 (36.688)
Epoch: [2][4200/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 4.2232 (4.2994) Prec@1 17.578 (16.289) Prec@5 37.891 (36.694)
Epoch: [2][4210/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 3.9793 (4.2988) Prec@1 22.656 (16.298) Prec@5 44.922 (36.709)
Epoch: [2][4220/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 4.0987 (4.2983) Prec@1 20.703 (16.307) Prec@5 39.844 (36.721)
Epoch: [2][4230/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 4.2662 (4.2977) Prec@1 17.188 (16.315) Prec@5 35.156 (36.731)
Epoch: [2][4240/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 4.1074 (4.2971) Prec@1 17.578 (16.322) Prec@5 40.234 (36.741)
Epoch: [2][4250/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 4.2288 (4.2968) Prec@1 17.969 (16.324) Prec@5 36.719 (36.744)
Epoch: [2][4260/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 4.0760 (4.2962) Prec@1 20.703 (16.331) Prec@5 39.453 (36.756)
Epoch: [2][4270/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 4.0276 (4.2956) Prec@1 19.141 (16.341) Prec@5 41.016 (36.769)
Epoch: [2][4280/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.9807 (4.2950) Prec@1 21.484 (16.348) Prec@5 43.359 (36.777)
Epoch: [2][4290/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 4.0354 (4.2944) Prec@1 24.219 (16.355) Prec@5 40.234 (36.784)
Epoch: [2][4300/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 4.2951 (4.2940) Prec@1 12.891 (16.360) Prec@5 35.938 (36.793)
Epoch: [2][4310/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 4.1355 (4.2934) Prec@1 16.406 (16.368) Prec@5 39.062 (36.802)
Epoch: [2][4320/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 4.0403 (4.2926) Prec@1 21.094 (16.378) Prec@5 42.188 (36.817)
Epoch: [2][4330/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 3.7507 (4.2919) Prec@1 23.047 (16.386) Prec@5 45.312 (36.828)
Epoch: [2][4340/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.8254 (4.2914) Prec@1 22.266 (16.391) Prec@5 42.188 (36.837)
Epoch: [2][4350/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 4.3450 (4.2908) Prec@1 15.625 (16.398) Prec@5 35.938 (36.850)
Epoch: [2][4360/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.9704 (4.2903) Prec@1 23.047 (16.406) Prec@5 43.750 (36.861)
Epoch: [2][4370/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 4.0655 (4.2897) Prec@1 20.703 (16.414) Prec@5 39.453 (36.872)
Epoch: [2][4380/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 4.0312 (4.2892) Prec@1 19.141 (16.420) Prec@5 42.969 (36.884)
Epoch: [2][4390/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 4.2528 (4.2887) Prec@1 16.406 (16.427) Prec@5 34.766 (36.893)
Epoch: [2][4400/5005] Time 0.465 (0.464) Data 0.000 (0.002) Loss 3.9196 (4.2881) Prec@1 20.312 (16.431) Prec@5 40.625 (36.904)
Epoch: [2][4410/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.8592 (4.2874) Prec@1 19.922 (16.441) Prec@5 46.094 (36.919)
Epoch: [2][4420/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 4.0373 (4.2870) Prec@1 17.188 (16.447) Prec@5 40.625 (36.928)
Epoch: [2][4430/5005] Time 0.463 (0.464) Data 0.000 (0.001) Loss 4.0409 (4.2867) Prec@1 19.531 (16.451) Prec@5 43.359 (36.936)
Epoch: [2][4440/5005] Time 0.452 (0.464) Data 0.000 (0.001) Loss 3.9040 (4.2862) Prec@1 21.875 (16.457) Prec@5 44.531 (36.945)
Epoch: [2][4450/5005] Time 0.467 (0.464) Data 0.000 (0.001) Loss 3.9405 (4.2856) Prec@1 22.656 (16.463) Prec@5 43.359 (36.956)
Epoch: [2][4460/5005] Time 0.455 (0.464) Data 0.000 (0.001) Loss 4.1689 (4.2850) Prec@1 17.969 (16.470) Prec@5 39.453 (36.967)
Epoch: [2][4470/5005] Time 0.458 (0.464) Data 0.000 (0.001) Loss 4.0401 (4.2846) Prec@1 19.141 (16.475) Prec@5 40.625 (36.976)
Epoch: [2][4480/5005] Time 0.459 (0.464) Data 0.000 (0.001) Loss 4.0984 (4.2841) Prec@1 23.047 (16.482) Prec@5 41.016 (36.986)
Epoch: [2][4490/5005] Time 0.461 (0.464) Data 0.000 (0.001) Loss 4.1926 (4.2836) Prec@1 18.359 (16.491) Prec@5 41.016 (36.996)
Epoch: [2][4500/5005] Time 0.459 (0.464) Data 0.000 (0.001) Loss 3.9529 (4.2829) Prec@1 19.531 (16.500) Prec@5 44.531 (37.009)
Epoch: [2][4510/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 4.0732 (4.2824) Prec@1 16.406 (16.505) Prec@5 38.281 (37.019)
Epoch: [2][4520/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 3.9831 (4.2817) Prec@1 19.141 (16.514) Prec@5 42.969 (37.034)
Epoch: [2][4530/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 3.9834 (4.2811) Prec@1 21.875 (16.520) Prec@5 42.969 (37.045)
Epoch: [2][4540/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 3.9067 (4.2805) Prec@1 23.828 (16.528) Prec@5 41.016 (37.057)
Epoch: [2][4550/5005] Time 0.464 (0.463) Data 0.000 (0.001) Loss 4.1959 (4.2800) Prec@1 17.969 (16.535) Prec@5 39.062 (37.067)
Epoch: [2][4560/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 4.0219 (4.2796) Prec@1 23.047 (16.543) Prec@5 47.656 (37.077)
Epoch: [2][4570/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 3.9615 (4.2789) Prec@1 21.875 (16.552) Prec@5 43.359 (37.091)
Epoch: [2][4580/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 4.1017 (4.2783) Prec@1 16.797 (16.556) Prec@5 38.672 (37.100)
Epoch: [2][4590/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 3.9047 (4.2776) Prec@1 22.656 (16.564) Prec@5 42.578 (37.112)
Epoch: [2][4600/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 4.0832 (4.2770) Prec@1 21.094 (16.572) Prec@5 38.281 (37.125)
Epoch: [2][4610/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 4.1952 (4.2767) Prec@1 18.359 (16.578) Prec@5 37.891 (37.131)
Epoch: [2][4620/5005] Time 0.463 (0.463) Data 0.000 (0.001) Loss 4.0253 (4.2762) Prec@1 20.703 (16.585) Prec@5 45.312 (37.142)
Epoch: [2][4630/5005] Time 0.451 (0.463) Data 0.000 (0.001) Loss 4.0576 (4.2758) Prec@1 20.312 (16.589) Prec@5 39.844 (37.150)
Epoch: [2][4640/5005] Time 0.458 (0.463) Data 0.000 (0.001) Loss 4.0612 (4.2752) Prec@1 20.312 (16.597) Prec@5 38.672 (37.161)
Epoch: [2][4650/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 3.8376 (4.2746) Prec@1 23.047 (16.605) Prec@5 44.141 (37.172)
Epoch: [2][4660/5005] Time 0.464 (0.463) Data 0.000 (0.001) Loss 4.1572 (4.2740) Prec@1 17.578 (16.613) Prec@5 41.406 (37.186)
Epoch: [2][4670/5005] Time 0.464 (0.463) Data 0.000 (0.001) Loss 4.0116 (4.2736) Prec@1 18.359 (16.616) Prec@5 39.844 (37.194)
Epoch: [2][4680/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 4.1335 (4.2731) Prec@1 20.312 (16.623) Prec@5 42.188 (37.206)
Epoch: [2][4690/5005] Time 0.462 (0.463) Data 0.000 (0.001) Loss 3.7855 (4.2726) Prec@1 21.875 (16.629) Prec@5 44.531 (37.216)
Epoch: [2][4700/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 3.9489 (4.2720) Prec@1 23.047 (16.637) Prec@5 41.016 (37.227)
Epoch: [2][4710/5005] Time 0.457 (0.463) Data 0.001 (0.001) Loss 3.9175 (4.2713) Prec@1 21.875 (16.643) Prec@5 43.359 (37.239)
Epoch: [2][4720/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 3.9830 (4.2710) Prec@1 22.656 (16.646) Prec@5 42.578 (37.245)
Epoch: [2][4730/5005] Time 0.454 (0.463) Data 0.000 (0.001) Loss 3.9512 (4.2705) Prec@1 20.312 (16.654) Prec@5 43.750 (37.256)
Epoch: [2][4740/5005] Time 0.458 (0.463) Data 0.000 (0.001) Loss 3.7980 (4.2699) Prec@1 26.953 (16.662) Prec@5 45.703 (37.270)
Epoch: [2][4750/5005] Time 0.453 (0.463) Data 0.000 (0.001) Loss 3.9077 (4.2692) Prec@1 19.141 (16.671) Prec@5 44.141 (37.284)
Epoch: [2][4760/5005] Time 0.452 (0.463) Data 0.000 (0.001) Loss 4.1496 (4.2686) Prec@1 17.578 (16.680) Prec@5 37.109 (37.295)
Epoch: [2][4770/5005] Time 0.453 (0.463) Data 0.000 (0.001) Loss 3.9088 (4.2682) Prec@1 20.703 (16.684) Prec@5 41.797 (37.301)
Epoch: [2][4780/5005] Time 0.464 (0.463) Data 0.000 (0.001) Loss 4.0002 (4.2677) Prec@1 23.438 (16.690) Prec@5 42.578 (37.309)
Epoch: [2][4790/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 3.8505 (4.2672) Prec@1 21.875 (16.698) Prec@5 48.047 (37.322)
Epoch: [2][4800/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 4.0274 (4.2667) Prec@1 19.531 (16.707) Prec@5 39.844 (37.332)
Epoch: [2][4810/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 3.7662 (4.2661) Prec@1 23.438 (16.714) Prec@5 45.312 (37.344)
Epoch: [2][4820/5005] Time 0.458 (0.463) Data 0.000 (0.001) Loss 3.8570 (4.2655) Prec@1 22.656 (16.722) Prec@5 45.703 (37.356)
Epoch: [2][4830/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 3.6092 (4.2650) Prec@1 25.781 (16.729) Prec@5 47.656 (37.368)
Epoch: [2][4840/5005] Time 0.458 (0.463) Data 0.000 (0.001) Loss 4.2697 (4.2645) Prec@1 15.625 (16.735) Prec@5 37.891 (37.377)
Epoch: [2][4850/5005] Time 0.463 (0.463) Data 0.000 (0.001) Loss 4.1376 (4.2641) Prec@1 21.094 (16.740) Prec@5 41.406 (37.384)
Epoch: [2][4860/5005] Time 0.462 (0.463) Data 0.000 (0.001) Loss 4.1991 (4.2634) Prec@1 19.922 (16.750) Prec@5 42.969 (37.397)
Epoch: [2][4870/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 3.9875 (4.2629) Prec@1 19.531 (16.756) Prec@5 41.406 (37.406)
Epoch: [2][4880/5005] Time 0.462 (0.463) Data 0.000 (0.001) Loss 3.7711 (4.2624) Prec@1 21.094 (16.763) Prec@5 50.391 (37.415)
Epoch: [2][4890/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 3.7256 (4.2618) Prec@1 21.875 (16.772) Prec@5 48.047 (37.428)
Epoch: [2][4900/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 3.9713 (4.2612) Prec@1 20.312 (16.778) Prec@5 46.875 (37.438)
Epoch: [2][4910/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 4.0467 (4.2608) Prec@1 19.141 (16.783) Prec@5 44.922 (37.447)
Epoch: [2][4920/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 3.9366 (4.2600) Prec@1 19.922 (16.794) Prec@5 41.406 (37.464)
Epoch: [2][4930/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 3.9795 (4.2594) Prec@1 19.922 (16.802) Prec@5 42.188 (37.474)
Epoch: [2][4940/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 4.0558 (4.2588) Prec@1 21.094 (16.808) Prec@5 41.016 (37.483)
Epoch: [2][4950/5005] Time 0.462 (0.463) Data 0.000 (0.001) Loss 3.7706 (4.2583) Prec@1 24.219 (16.815) Prec@5 48.047 (37.493)
Epoch: [2][4960/5005] Time 0.458 (0.463) Data 0.000 (0.001) Loss 3.8026 (4.2575) Prec@1 21.875 (16.826) Prec@5 46.484 (37.509)
Epoch: [2][4970/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 4.0617 (4.2570) Prec@1 17.578 (16.835) Prec@5 40.234 (37.518)
Epoch: [2][4980/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 3.8567 (4.2563) Prec@1 20.312 (16.844) Prec@5 42.578 (37.529)
Epoch: [2][4990/5005] Time 0.452 (0.463) Data 0.000 (0.001) Loss 4.0830 (4.2558) Prec@1 17.188 (16.851) Prec@5 39.844 (37.539)
Epoch: [2][5000/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 4.1372 (4.2553) Prec@1 18.750 (16.857) Prec@5 41.406 (37.550)
Test: [0/196] Time 5.468 (5.468) Loss 1.8958 (1.8958) Prec@1 53.516 (53.516) Prec@5 82.422 (82.422)
Test: [10/196] Time 0.152 (0.634) Loss 3.9004 (3.0047) Prec@1 21.094 (33.594) Prec@5 42.969 (61.009)
Test: [20/196] Time 0.151 (0.404) Loss 2.9652 (3.0408) Prec@1 36.719 (33.929) Prec@5 58.203 (60.286)
Test: [30/196] Time 0.152 (0.324) Loss 3.0889 (2.9908) Prec@1 26.172 (34.451) Prec@5 54.688 (61.089)
Test: [40/196] Time 0.150 (0.281) Loss 3.2088 (3.0676) Prec@1 24.219 (31.336) Prec@5 52.734 (58.870)
Test: [50/196] Time 0.154 (0.256) Loss 2.6058 (3.0276) Prec@1 29.688 (30.944) Prec@5 71.484 (59.720)
Test: [60/196] Time 0.153 (0.239) Loss 3.5989 (3.0450) Prec@1 17.188 (30.193) Prec@5 49.609 (59.324)
Test: [70/196] Time 0.153 (0.227) Loss 3.8895 (3.0483) Prec@1 20.703 (30.463) Prec@5 42.578 (59.034)
Test: [80/196] Time 0.150 (0.217) Loss 4.1962 (3.0449) Prec@1 17.578 (30.681) Prec@5 42.578 (59.414)
Test: [90/196] Time 0.153 (0.210) Loss 4.9061 (3.1427) Prec@1 10.938 (29.653) Prec@5 30.078 (57.782)
Test: [100/196] Time 0.200 (0.204) Loss 4.4458 (3.2167) Prec@1 13.281 (28.972) Prec@5 36.719 (56.610)
Test: [110/196] Time 0.150 (0.200) Loss 3.6449 (3.2510) Prec@1 30.859 (28.843) Prec@5 48.047 (56.039)
Test: [120/196] Time 0.150 (0.196) Loss 4.1879 (3.3015) Prec@1 22.656 (28.409) Prec@5 39.844 (55.259)
Test: [130/196] Time 0.154 (0.192) Loss 3.3719 (3.3370) Prec@1 32.422 (28.104) Prec@5 54.688 (54.744)
Test: [140/196] Time 0.148 (0.189) Loss 3.6469 (3.3748) Prec@1 25.000 (27.709) Prec@5 46.875 (53.967)
Test: [150/196] Time 0.152 (0.187) Loss 4.2627 (3.4152) Prec@1 21.875 (27.455) Prec@5 36.719 (53.270)
Test: [160/196] Time 0.149 (0.184) Loss 3.3731 (3.4422) Prec@1 30.078 (27.242) Prec@5 53.125 (52.819)
Test: [170/196] Time 0.148 (0.183) Loss 2.8044 (3.4723) Prec@1 37.500 (26.766) Prec@5 64.453 (52.207)
Test: [180/196] Time 0.148 (0.181) Loss 3.0492 (3.4931) Prec@1 27.344 (26.498) Prec@5 57.422 (51.826)
Test: [190/196] Time 0.148 (0.179) Loss 2.5250 (3.4706) Prec@1 36.719 (26.679) Prec@5 69.141 (52.274)
* Prec@1 27.168 Prec@5 52.722
Epoch: [3][0/5005] Time 4.982 (4.982) Data 4.797 (4.797) Loss 3.8849 (3.8849) Prec@1 20.312 (20.312) Prec@5 45.312 (45.312)
Epoch: [3][10/5005] Time 0.468 (0.874) Data 0.000 (0.436) Loss 3.7714 (3.9512) Prec@1 22.266 (19.318) Prec@5 46.875 (42.614)
Epoch: [3][20/5005] Time 0.480 (0.679) Data 0.000 (0.229) Loss 4.2958 (3.9854) Prec@1 17.188 (19.327) Prec@5 34.375 (42.504)
Epoch: [3][30/5005] Time 0.450 (0.609) Data 0.000 (0.155) Loss 4.2175 (3.9804) Prec@1 19.141 (19.733) Prec@5 37.500 (42.389)
Epoch: [3][40/5005] Time 0.462 (0.574) Data 0.000 (0.117) Loss 3.9294 (3.9849) Prec@1 21.094 (20.122) Prec@5 41.797 (42.340)
Epoch: [3][50/5005] Time 0.457 (0.552) Data 0.000 (0.094) Loss 3.9950 (3.9770) Prec@1 22.656 (20.542) Prec@5 46.484 (42.678)
Epoch: [3][60/5005] Time 0.473 (0.538) Data 0.000 (0.079) Loss 3.6349 (3.9712) Prec@1 24.609 (20.639) Prec@5 49.219 (42.796)
Epoch: [3][70/5005] Time 0.476 (0.528) Data 0.000 (0.068) Loss 3.7525 (3.9713) Prec@1 23.828 (20.681) Prec@5 48.047 (42.941)
Epoch: [3][80/5005] Time 0.456 (0.520) Data 0.000 (0.060) Loss 3.9108 (3.9717) Prec@1 22.266 (20.621) Prec@5 41.406 (42.969)
Epoch: [3][90/5005] Time 0.435 (0.513) Data 0.000 (0.053) Loss 3.7915 (3.9691) Prec@1 24.219 (20.677) Prec@5 42.578 (42.982)
Epoch: [3][100/5005] Time 0.458 (0.508) Data 0.000 (0.048) Loss 4.0310 (3.9667) Prec@1 17.969 (20.614) Prec@5 41.406 (42.926)
Epoch: [3][110/5005] Time 0.469 (0.504) Data 0.000 (0.044) Loss 3.8112 (3.9644) Prec@1 23.047 (20.696) Prec@5 49.609 (43.029)
Epoch: [3][120/5005] Time 0.453 (0.501) Data 0.000 (0.040) Loss 4.0914 (3.9681) Prec@1 19.141 (20.658) Prec@5 44.141 (42.978)
Epoch: [3][130/5005] Time 0.463 (0.498) Data 0.000 (0.037) Loss 3.7595 (3.9592) Prec@1 24.219 (20.638) Prec@5 50.000 (43.097)
Epoch: [3][140/5005] Time 0.464 (0.495) Data 0.000 (0.034) Loss 3.8895 (3.9585) Prec@1 17.969 (20.673) Prec@5 45.312 (43.104)
Epoch: [3][150/5005] Time 0.461 (0.493) Data 0.000 (0.032) Loss 4.2436 (3.9647) Prec@1 14.062 (20.525) Prec@5 37.109 (42.995)
Epoch: [3][160/5005] Time 0.479 (0.491) Data 0.000 (0.030) Loss 3.9620 (3.9643) Prec@1 15.625 (20.511) Prec@5 42.578 (42.981)
Epoch: [3][170/5005] Time 0.456 (0.489) Data 0.000 (0.028) Loss 3.8993 (3.9632) Prec@1 24.219 (20.523) Prec@5 43.359 (43.005)
Epoch: [3][180/5005] Time 0.473 (0.488) Data 0.000 (0.027) Loss 4.1586 (3.9631) Prec@1 18.750 (20.546) Prec@5 40.234 (43.014)
Epoch: [3][190/5005] Time 0.457 (0.487) Data 0.000 (0.026) Loss 3.8590 (3.9613) Prec@1 20.312 (20.566) Prec@5 44.531 (43.030)
Epoch: [3][200/5005] Time 0.469 (0.485) Data 0.000 (0.024) Loss 4.0678 (3.9615) Prec@1 16.016 (20.567) Prec@5 42.969 (43.080)
Epoch: [3][210/5005] Time 0.477 (0.485) Data 0.000 (0.023) Loss 4.0381 (3.9646) Prec@1 19.141 (20.540) Prec@5 42.188 (43.052)
Epoch: [3][220/5005] Time 0.479 (0.484) Data 0.000 (0.022) Loss 3.7108 (3.9634) Prec@1 22.656 (20.569) Prec@5 46.875 (43.121)
Epoch: [3][230/5005] Time 0.465 (0.483) Data 0.000 (0.021) Loss 4.0044 (3.9626) Prec@1 20.703 (20.583) Prec@5 39.844 (43.138)
Epoch: [3][240/5005] Time 0.452 (0.482) Data 0.000 (0.020) Loss 3.9355 (3.9607) Prec@1 16.797 (20.612) Prec@5 42.578 (43.207)
Epoch: [3][250/5005] Time 0.474 (0.481) Data 0.000 (0.020) Loss 3.8949 (3.9579) Prec@1 22.656 (20.650) Prec@5 41.797 (43.263)
Epoch: [3][260/5005] Time 0.455 (0.481) Data 0.000 (0.019) Loss 3.9468 (3.9571) Prec@1 20.312 (20.700) Prec@5 44.141 (43.271)
Epoch: [3][270/5005] Time 0.454 (0.480) Data 0.000 (0.018) Loss 4.1850 (3.9559) Prec@1 14.844 (20.736) Prec@5 41.016 (43.282)
Epoch: [3][280/5005] Time 0.465 (0.479) Data 0.000 (0.018) Loss 3.9051 (3.9538) Prec@1 19.141 (20.749) Prec@5 45.312 (43.345)
Epoch: [3][290/5005] Time 0.482 (0.479) Data 0.000 (0.017) Loss 3.8148 (3.9508) Prec@1 21.875 (20.754) Prec@5 47.266 (43.420)
Epoch: [3][300/5005] Time 0.474 (0.478) Data 0.000 (0.016) Loss 3.8406 (3.9482) Prec@1 20.312 (20.752) Prec@5 44.141 (43.472)
Epoch: [3][310/5005] Time 0.467 (0.478) Data 0.000 (0.016) Loss 4.0283 (3.9483) Prec@1 19.141 (20.732) Prec@5 40.625 (43.476)
Epoch: [3][320/5005] Time 0.478 (0.478) Data 0.000 (0.015) Loss 3.7718 (3.9483) Prec@1 23.438 (20.749) Prec@5 44.922 (43.480)
Epoch: [3][330/5005] Time 0.476 (0.477) Data 0.000 (0.015) Loss 4.0419 (3.9487) Prec@1 19.141 (20.747) Prec@5 44.922 (43.484)
Epoch: [3][340/5005] Time 0.472 (0.477) Data 0.000 (0.015) Loss 4.2140 (3.9493) Prec@1 16.797 (20.746) Prec@5 41.797 (43.477)
Epoch: [3][350/5005] Time 0.475 (0.477) Data 0.000 (0.014) Loss 3.8170 (3.9471) Prec@1 18.750 (20.760) Prec@5 42.969 (43.496)
Epoch: [3][360/5005] Time 0.475 (0.476) Data 0.000 (0.014) Loss 3.7576 (3.9453) Prec@1 23.828 (20.798) Prec@5 46.875 (43.518)
Epoch: [3][370/5005] Time 0.470 (0.476) Data 0.000 (0.013) Loss 4.1646 (3.9470) Prec@1 19.531 (20.769) Prec@5 37.891 (43.477)
Epoch: [3][380/5005] Time 0.470 (0.475) Data 0.000 (0.013) Loss 4.1127 (3.9455) Prec@1 16.797 (20.791) Prec@5 42.578 (43.514)
Epoch: [3][390/5005] Time 0.461 (0.475) Data 0.000 (0.013) Loss 4.0157 (3.9442) Prec@1 20.703 (20.811) Prec@5 46.875 (43.557)
Epoch: [3][400/5005] Time 0.468 (0.475) Data 0.000 (0.012) Loss 3.7965 (3.9448) Prec@1 19.141 (20.808) Prec@5 44.531 (43.553)
Epoch: [3][410/5005] Time 0.464 (0.475) Data 0.000 (0.012) Loss 3.9046 (3.9443) Prec@1 21.875 (20.833) Prec@5 42.969 (43.553)
Epoch: [3][420/5005] Time 0.478 (0.474) Data 0.000 (0.012) Loss 3.8732 (3.9451) Prec@1 24.609 (20.837) Prec@5 44.922 (43.536)
Epoch: [3][430/5005] Time 0.458 (0.474) Data 0.000 (0.012) Loss 3.9470 (3.9440) Prec@1 23.828 (20.866) Prec@5 43.359 (43.556)
Epoch: [3][440/5005] Time 0.467 (0.474) Data 0.000 (0.011) Loss 3.9006 (3.9418) Prec@1 23.047 (20.894) Prec@5 41.406 (43.568)
Epoch: [3][450/5005] Time 0.470 (0.474) Data 0.000 (0.011) Loss 3.7266 (3.9400) Prec@1 24.219 (20.946) Prec@5 46.484 (43.579)
Epoch: [3][460/5005] Time 0.478 (0.474) Data 0.000 (0.011) Loss 4.0993 (3.9405) Prec@1 17.188 (20.940) Prec@5 39.062 (43.570)
Epoch: [3][470/5005] Time 0.476 (0.473) Data 0.000 (0.011) Loss 3.7226 (3.9406) Prec@1 21.484 (20.935) Prec@5 49.219 (43.584)
Epoch: [3][480/5005] Time 0.466 (0.473) Data 0.000 (0.010) Loss 3.7343 (3.9393) Prec@1 21.484 (20.969) Prec@5 47.266 (43.606)
Epoch: [3][490/5005] Time 0.469 (0.473) Data 0.000 (0.010) Loss 3.8640 (3.9393) Prec@1 23.828 (20.966) Prec@5 44.922 (43.602)
Epoch: [3][500/5005] Time 0.466 (0.473) Data 0.000 (0.010) Loss 3.8472 (3.9394) Prec@1 24.219 (20.968) Prec@5 46.484 (43.596)
Epoch: [3][510/5005] Time 0.447 (0.473) Data 0.001 (0.010) Loss 3.8381 (3.9381) Prec@1 20.312 (20.975) Prec@5 44.141 (43.612)
Epoch: [3][520/5005] Time 0.456 (0.472) Data 0.000 (0.010) Loss 3.9006 (3.9367) Prec@1 26.562 (21.007) Prec@5 46.094 (43.644)
Epoch: [3][530/5005] Time 0.467 (0.472) Data 0.000 (0.009) Loss 3.8154 (3.9373) Prec@1 19.141 (21.000) Prec@5 43.750 (43.621)
Epoch: [3][540/5005] Time 0.460 (0.472) Data 0.000 (0.009) Loss 3.9009 (3.9364) Prec@1 21.094 (21.007) Prec@5 46.094 (43.643)
Epoch: [3][550/5005] Time 0.468 (0.472) Data 0.000 (0.009) Loss 3.9833 (3.9359) Prec@1 19.141 (21.024) Prec@5 41.797 (43.664)
Epoch: [3][560/5005] Time 0.478 (0.472) Data 0.000 (0.009) Loss 3.8233 (3.9358) Prec@1 23.828 (21.026) Prec@5 46.484 (43.666)
Epoch: [3][570/5005] Time 0.468 (0.472) Data 0.000 (0.009) Loss 3.9396 (3.9355) Prec@1 21.484 (21.025) Prec@5 44.922 (43.672)
Epoch: [3][580/5005] Time 0.474 (0.472) Data 0.000 (0.009) Loss 3.7639 (3.9353) Prec@1 24.609 (21.016) Prec@5 46.875 (43.677)
Epoch: [3][590/5005] Time 0.465 (0.472) Data 0.000 (0.009) Loss 3.9143 (3.9354) Prec@1 26.172 (21.041) Prec@5 46.875 (43.700)
Epoch: [3][600/5005] Time 0.470 (0.471) Data 0.000 (0.008) Loss 4.1781 (3.9363) Prec@1 21.094 (21.044) Prec@5 37.891 (43.691)
Epoch: [3][610/5005] Time 0.477 (0.471) Data 0.000 (0.008) Loss 3.9624 (3.9365) Prec@1 19.531 (21.057) Prec@5 41.406 (43.697)
Epoch: [3][620/5005] Time 0.452 (0.471) Data 0.000 (0.008) Loss 3.8891 (3.9371) Prec@1 21.875 (21.048) Prec@5 44.922 (43.700)
Epoch: [3][630/5005] Time 0.475 (0.471) Data 0.000 (0.008) Loss 3.7538 (3.9364) Prec@1 22.266 (21.064) Prec@5 47.266 (43.710)
Epoch: [3][640/5005] Time 0.460 (0.471) Data 0.000 (0.008) Loss 3.8191 (3.9364) Prec@1 23.047 (21.064) Prec@5 47.656 (43.710)
Epoch: [3][650/5005] Time 0.474 (0.471) Data 0.000 (0.008) Loss 3.8480 (3.9383) Prec@1 24.219 (21.028) Prec@5 49.609 (43.683)
Epoch: [3][660/5005] Time 0.470 (0.471) Data 0.000 (0.008) Loss 4.0792 (3.9372) Prec@1 18.359 (21.054) Prec@5 41.016 (43.700)
Epoch: [3][670/5005] Time 0.458 (0.471) Data 0.000 (0.008) Loss 4.0398 (3.9369) Prec@1 23.438 (21.070) Prec@5 44.531 (43.712)
Epoch: [3][680/5005] Time 0.451 (0.471) Data 0.000 (0.007) Loss 3.8480 (3.9364) Prec@1 21.484 (21.075) Prec@5 44.531 (43.708)
Epoch: [3][690/5005] Time 0.457 (0.470) Data 0.000 (0.007) Loss 3.9137 (3.9367) Prec@1 22.656 (21.066) Prec@5 46.094 (43.697)
Epoch: [3][700/5005] Time 0.458 (0.470) Data 0.000 (0.007) Loss 3.9405 (3.9366) Prec@1 23.047 (21.079) Prec@5 44.922 (43.705)
Epoch: [3][710/5005] Time 0.455 (0.470) Data 0.000 (0.007) Loss 3.8565 (3.9363) Prec@1 21.484 (21.077) Prec@5 47.656 (43.729)
Epoch: [3][720/5005] Time 0.455 (0.470) Data 0.000 (0.007) Loss 3.9530 (3.9358) Prec@1 17.188 (21.077) Prec@5 45.312 (43.732)
Epoch: [3][730/5005] Time 0.477 (0.470) Data 0.000 (0.007) Loss 3.9771 (3.9358) Prec@1 25.391 (21.085) Prec@5 42.969 (43.744)
Epoch: [3][740/5005] Time 0.450 (0.470) Data 0.000 (0.007) Loss 4.1448 (3.9359) Prec@1 18.359 (21.099) Prec@5 39.453 (43.744)
Epoch: [3][750/5005] Time 0.471 (0.470) Data 0.000 (0.007) Loss 3.8088 (3.9342) Prec@1 22.266 (21.111) Prec@5 44.922 (43.764)
Epoch: [3][760/5005] Time 0.465 (0.470) Data 0.000 (0.007) Loss 3.8866 (3.9336) Prec@1 22.656 (21.133) Prec@5 48.047 (43.788)
Epoch: [3][770/5005] Time 0.468 (0.470) Data 0.000 (0.007) Loss 3.6323 (3.9324) Prec@1 30.469 (21.174) Prec@5 54.688 (43.822)
Epoch: [3][780/5005] Time 0.473 (0.470) Data 0.000 (0.007) Loss 3.9927 (3.9332) Prec@1 21.484 (21.160) Prec@5 40.234 (43.801)
Epoch: [3][790/5005] Time 0.451 (0.470) Data 0.000 (0.006) Loss 4.0477 (3.9326) Prec@1 17.578 (21.166) Prec@5 42.969 (43.818)
Epoch: [3][800/5005] Time 0.451 (0.470) Data 0.000 (0.006) Loss 4.0603 (3.9326) Prec@1 21.484 (21.167) Prec@5 38.281 (43.812)
Epoch: [3][810/5005] Time 0.470 (0.470) Data 0.000 (0.006) Loss 4.0424 (3.9337) Prec@1 20.312 (21.161) Prec@5 42.188 (43.789)
Epoch: [3][820/5005] Time 0.484 (0.470) Data 0.000 (0.006) Loss 3.9164 (3.9333) Prec@1 19.531 (21.171) Prec@5 42.188 (43.789)
Epoch: [3][830/5005] Time 0.463 (0.469) Data 0.000 (0.006) Loss 3.9935 (3.9333) Prec@1 20.312 (21.176) Prec@5 42.578 (43.794)
Epoch: [3][840/5005] Time 0.460 (0.469) Data 0.000 (0.006) Loss 3.8558 (3.9326) Prec@1 19.922 (21.172) Prec@5 44.531 (43.801)
Epoch: [3][850/5005] Time 0.470 (0.469) Data 0.000 (0.006) Loss 3.6466 (3.9324) Prec@1 26.562 (21.158) Prec@5 49.609 (43.798)
Epoch: [3][860/5005] Time 0.452 (0.469) Data 0.000 (0.006) Loss 4.0906 (3.9319) Prec@1 20.312 (21.162) Prec@5 44.531 (43.810)
Epoch: [3][870/5005] Time 0.479 (0.469) Data 0.000 (0.006) Loss 3.8831 (3.9313) Prec@1 20.312 (21.167) Prec@5 44.141 (43.830)
Epoch: [3][880/5005] Time 0.477 (0.469) Data 0.000 (0.006) Loss 3.9618 (3.9315) Prec@1 17.188 (21.167) Prec@5 39.844 (43.813)
Epoch: [3][890/5005] Time 0.474 (0.469) Data 0.000 (0.006) Loss 3.8676 (3.9307) Prec@1 23.438 (21.170) Prec@5 42.188 (43.828)
Epoch: [3][900/5005] Time 0.471 (0.469) Data 0.000 (0.006) Loss 3.8183 (3.9303) Prec@1 19.141 (21.176) Prec@5 43.750 (43.828)
Epoch: [3][910/5005] Time 0.468 (0.469) Data 0.000 (0.006) Loss 3.9470 (3.9302) Prec@1 17.969 (21.180) Prec@5 42.578 (43.829)
Epoch: [3][920/5005] Time 0.471 (0.469) Data 0.000 (0.006) Loss 3.9266 (3.9306) Prec@1 25.391 (21.168) Prec@5 42.578 (43.825)
Epoch: [3][930/5005] Time 0.468 (0.469) Data 0.000 (0.006) Loss 3.8791 (3.9295) Prec@1 21.094 (21.184) Prec@5 43.750 (43.847)
Epoch: [3][940/5005] Time 0.450 (0.469) Data 0.000 (0.006) Loss 3.7533 (3.9287) Prec@1 21.875 (21.194) Prec@5 47.266 (43.870)
Epoch: [3][950/5005] Time 0.469 (0.469) Data 0.000 (0.005) Loss 3.8981 (3.9286) Prec@1 23.438 (21.191) Prec@5 45.703 (43.872)
Epoch: [3][960/5005] Time 0.471 (0.469) Data 0.000 (0.005) Loss 3.8532 (3.9280) Prec@1 19.531 (21.198) Prec@5 47.266 (43.885)
Epoch: [3][970/5005] Time 0.460 (0.469) Data 0.000 (0.005) Loss 3.7787 (3.9271) Prec@1 24.219 (21.213) Prec@5 41.797 (43.905)
Epoch: [3][980/5005] Time 0.456 (0.469) Data 0.000 (0.005) Loss 3.9680 (3.9263) Prec@1 22.266 (21.220) Prec@5 43.750 (43.930)
Epoch: [3][990/5005] Time 0.455 (0.469) Data 0.000 (0.005) Loss 3.9058 (3.9250) Prec@1 21.875 (21.235) Prec@5 45.703 (43.957)
Epoch: [3][1000/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 3.6636 (3.9232) Prec@1 24.609 (21.248) Prec@5 48.047 (43.992)
Epoch: [3][1010/5005] Time 0.472 (0.468) Data 0.000 (0.005) Loss 3.7851 (3.9233) Prec@1 24.609 (21.242) Prec@5 49.219 (43.994)
Epoch: [3][1020/5005] Time 0.455 (0.468) Data 0.000 (0.005) Loss 3.6911 (3.9227) Prec@1 27.734 (21.260) Prec@5 47.656 (44.011)
Epoch: [3][1030/5005] Time 0.453 (0.468) Data 0.000 (0.005) Loss 3.8632 (3.9230) Prec@1 23.438 (21.249) Prec@5 43.750 (44.002)
Epoch: [3][1040/5005] Time 0.461 (0.468) Data 0.000 (0.005) Loss 4.0777 (3.9223) Prec@1 17.578 (21.253) Prec@5 43.359 (44.009)
Epoch: [3][1050/5005] Time 0.452 (0.468) Data 0.000 (0.005) Loss 4.1275 (3.9222) Prec@1 18.750 (21.247) Prec@5 40.234 (44.013)
Epoch: [3][1060/5005] Time 0.452 (0.468) Data 0.000 (0.005) Loss 3.8836 (3.9221) Prec@1 24.609 (21.247) Prec@5 46.875 (44.010)
Epoch: [3][1070/5005] Time 0.472 (0.468) Data 0.001 (0.005) Loss 3.8782 (3.9219) Prec@1 22.656 (21.243) Prec@5 46.094 (44.016)
Epoch: [3][1080/5005] Time 0.472 (0.468) Data 0.000 (0.005) Loss 4.0113 (3.9215) Prec@1 22.266 (21.243) Prec@5 41.406 (44.025)
Epoch: [3][1090/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 3.8456 (3.9212) Prec@1 25.000 (21.261) Prec@5 45.312 (44.023)
Epoch: [3][1100/5005] Time 0.461 (0.468) Data 0.000 (0.005) Loss 3.7282 (3.9203) Prec@1 22.656 (21.265) Prec@5 48.828 (44.043)
Epoch: [3][1110/5005] Time 0.466 (0.468) Data 0.000 (0.005) Loss 3.9451 (3.9199) Prec@1 21.484 (21.268) Prec@5 42.969 (44.049)
Epoch: [3][1120/5005] Time 0.477 (0.468) Data 0.000 (0.005) Loss 3.8362 (3.9192) Prec@1 21.094 (21.279) Prec@5 43.359 (44.058)
Epoch: [3][1130/5005] Time 0.459 (0.468) Data 0.000 (0.005) Loss 3.7447 (3.9192) Prec@1 21.484 (21.274) Prec@5 51.172 (44.061)
Epoch: [3][1140/5005] Time 0.466 (0.468) Data 0.000 (0.005) Loss 3.7563 (3.9187) Prec@1 25.391 (21.273) Prec@5 46.094 (44.070)
Epoch: [3][1150/5005] Time 0.455 (0.468) Data 0.000 (0.005) Loss 3.8469 (3.9178) Prec@1 20.312 (21.284) Prec@5 45.312 (44.090)
Epoch: [3][1160/5005] Time 0.474 (0.468) Data 0.000 (0.005) Loss 3.9685 (3.9175) Prec@1 20.703 (21.303) Prec@5 43.750 (44.105)
Epoch: [3][1170/5005] Time 0.456 (0.468) Data 0.000 (0.005) Loss 4.1143 (3.9176) Prec@1 19.531 (21.292) Prec@5 38.281 (44.100)
Epoch: [3][1180/5005] Time 0.469 (0.468) Data 0.000 (0.005) Loss 3.8533 (3.9173) Prec@1 25.391 (21.290) Prec@5 42.578 (44.105)
Epoch: [3][1190/5005] Time 0.456 (0.468) Data 0.000 (0.004) Loss 3.7967 (3.9171) Prec@1 22.266 (21.301) Prec@5 45.703 (44.109)
Epoch: [3][1200/5005] Time 0.474 (0.468) Data 0.000 (0.004) Loss 3.7760 (3.9163) Prec@1 21.094 (21.301) Prec@5 47.656 (44.124)
Epoch: [3][1210/5005] Time 0.456 (0.468) Data 0.000 (0.004) Loss 4.0697 (3.9159) Prec@1 16.406 (21.301) Prec@5 41.797 (44.124)
Epoch: [3][1220/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 3.9561 (3.9154) Prec@1 21.484 (21.308) Prec@5 40.625 (44.126)
Epoch: [3][1230/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 3.9626 (3.9148) Prec@1 21.484 (21.321) Prec@5 42.969 (44.141)
Epoch: [3][1240/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 3.8079 (3.9146) Prec@1 22.656 (21.323) Prec@5 46.094 (44.138)
Epoch: [3][1250/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 3.7972 (3.9142) Prec@1 22.656 (21.318) Prec@5 47.656 (44.145)
Epoch: [3][1260/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 3.8786 (3.9142) Prec@1 21.094 (21.320) Prec@5 44.141 (44.142)
Epoch: [3][1270/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 3.8048 (3.9143) Prec@1 22.266 (21.318) Prec@5 44.141 (44.134)
Epoch: [3][1280/5005] Time 0.473 (0.467) Data 0.000 (0.004) Loss 4.1375 (3.9142) Prec@1 19.531 (21.318) Prec@5 39.844 (44.137)
Epoch: [3][1290/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 3.8440 (3.9137) Prec@1 20.312 (21.321) Prec@5 42.188 (44.145)
Epoch: [3][1300/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 4.0198 (3.9130) Prec@1 17.969 (21.325) Prec@5 42.578 (44.159)
Epoch: [3][1310/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 3.7109 (3.9123) Prec@1 19.141 (21.349) Prec@5 46.094 (44.181)
Epoch: [3][1320/5005] Time 0.473 (0.467) Data 0.000 (0.004) Loss 3.7422 (3.9118) Prec@1 20.703 (21.350) Prec@5 45.703 (44.177)
Epoch: [3][1330/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 3.9407 (3.9116) Prec@1 19.922 (21.352) Prec@5 47.266 (44.183)
Epoch: [3][1340/5005] Time 0.477 (0.467) Data 0.000 (0.004) Loss 3.8636 (3.9109) Prec@1 22.656 (21.361) Prec@5 47.266 (44.194)
Epoch: [3][1350/5005] Time 0.475 (0.467) Data 0.000 (0.004) Loss 3.8886 (3.9104) Prec@1 22.656 (21.373) Prec@5 49.219 (44.208)
Epoch: [3][1360/5005] Time 0.449 (0.467) Data 0.000 (0.004) Loss 3.8290 (3.9097) Prec@1 20.703 (21.384) Prec@5 44.922 (44.217)
Epoch: [3][1370/5005] Time 0.478 (0.467) Data 0.000 (0.004) Loss 3.8118 (3.9090) Prec@1 22.656 (21.397) Prec@5 46.094 (44.237)
Epoch: [3][1380/5005] Time 0.481 (0.467) Data 0.000 (0.004) Loss 3.8449 (3.9085) Prec@1 23.047 (21.408) Prec@5 44.531 (44.242)
Epoch: [3][1390/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 3.9392 (3.9076) Prec@1 18.359 (21.421) Prec@5 41.797 (44.257)
Epoch: [3][1400/5005] Time 0.476 (0.467) Data 0.000 (0.004) Loss 3.9018 (3.9071) Prec@1 21.484 (21.432) Prec@5 42.188 (44.265)
Epoch: [3][1410/5005] Time 0.462 (0.467) Data 0.000 (0.004) Loss 3.6514 (3.9060) Prec@1 26.953 (21.448) Prec@5 48.047 (44.286)
Epoch: [3][1420/5005] Time 0.467 (0.467) Data 0.000 (0.004) Loss 3.9471 (3.9055) Prec@1 17.969 (21.456) Prec@5 41.797 (44.296)
Epoch: [3][1430/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 4.0288 (3.9048) Prec@1 19.141 (21.459) Prec@5 41.016 (44.303)
Epoch: [3][1440/5005] Time 0.460 (0.467) Data 0.000 (0.004) Loss 3.8675 (3.9046) Prec@1 22.266 (21.458) Prec@5 44.922 (44.312)
Epoch: [3][1450/5005] Time 0.475 (0.467) Data 0.000 (0.004) Loss 3.8834 (3.9044) Prec@1 23.438 (21.460) Prec@5 45.703 (44.315)
Epoch: [3][1460/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 4.0743 (3.9041) Prec@1 19.531 (21.473) Prec@5 37.109 (44.324)
Epoch: [3][1470/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 4.1791 (3.9040) Prec@1 22.656 (21.483) Prec@5 36.719 (44.334)
Epoch: [3][1480/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 4.0136 (3.9034) Prec@1 19.141 (21.497) Prec@5 46.094 (44.354)
Epoch: [3][1490/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 3.8668 (3.9027) Prec@1 23.438 (21.507) Prec@5 46.875 (44.365)
Epoch: [3][1500/5005] Time 0.464 (0.467) Data 0.000 (0.004) Loss 3.9883 (3.9023) Prec@1 20.312 (21.524) Prec@5 45.312 (44.383)
Epoch: [3][1510/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 3.8354 (3.9019) Prec@1 25.000 (21.529) Prec@5 45.703 (44.393)
Epoch: [3][1520/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 3.8874 (3.9018) Prec@1 19.141 (21.540) Prec@5 46.094 (44.400)
Epoch: [3][1530/5005] Time 0.464 (0.467) Data 0.000 (0.004) Loss 3.4874 (3.9013) Prec@1 30.078 (21.538) Prec@5 57.031 (44.410)
Epoch: [3][1540/5005] Time 0.459 (0.467) Data 0.000 (0.004) Loss 3.8757 (3.9010) Prec@1 18.359 (21.539) Prec@5 46.484 (44.412)
Epoch: [3][1550/5005] Time 0.463 (0.467) Data 0.000 (0.004) Loss 4.0395 (3.9011) Prec@1 21.094 (21.543) Prec@5 38.672 (44.408)
Epoch: [3][1560/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 3.7846 (3.9010) Prec@1 19.922 (21.541) Prec@5 46.094 (44.404)
Epoch: [3][1570/5005] Time 0.470 (0.467) Data 0.000 (0.003) Loss 3.7250 (3.9004) Prec@1 19.141 (21.544) Prec@5 47.656 (44.419)
Epoch: [3][1580/5005] Time 0.464 (0.467) Data 0.000 (0.003) Loss 3.9984 (3.8999) Prec@1 20.703 (21.546) Prec@5 41.016 (44.426)
Epoch: [3][1590/5005] Time 0.456 (0.467) Data 0.000 (0.003) Loss 3.8640 (3.8995) Prec@1 20.703 (21.552) Prec@5 46.484 (44.438)
Epoch: [3][1600/5005] Time 0.457 (0.467) Data 0.000 (0.003) Loss 4.0195 (3.8993) Prec@1 20.312 (21.561) Prec@5 41.016 (44.441)
Epoch: [3][1610/5005] Time 0.472 (0.467) Data 0.000 (0.003) Loss 3.7988 (3.8995) Prec@1 24.219 (21.556) Prec@5 45.312 (44.438)
Epoch: [3][1620/5005] Time 0.471 (0.467) Data 0.000 (0.003) Loss 3.7813 (3.8995) Prec@1 19.141 (21.550) Prec@5 45.312 (44.435)
Epoch: [3][1630/5005] Time 0.450 (0.467) Data 0.000 (0.003) Loss 3.7903 (3.8989) Prec@1 23.438 (21.562) Prec@5 46.094 (44.444)
Epoch: [3][1640/5005] Time 0.468 (0.467) Data 0.000 (0.003) Loss 3.7641 (3.8985) Prec@1 24.219 (21.565) Prec@5 46.484 (44.447)
Epoch: [3][1650/5005] Time 0.469 (0.467) Data 0.000 (0.003) Loss 3.7302 (3.8980) Prec@1 21.094 (21.566) Prec@5 45.312 (44.454)
Epoch: [3][1660/5005] Time 0.481 (0.467) Data 0.000 (0.003) Loss 3.7845 (3.8973) Prec@1 26.562 (21.574) Prec@5 48.438 (44.464)
Epoch: [3][1670/5005] Time 0.481 (0.467) Data 0.000 (0.003) Loss 3.8797 (3.8970) Prec@1 19.922 (21.576) Prec@5 43.750 (44.472)
Epoch: [3][1680/5005] Time 0.469 (0.467) Data 0.000 (0.003) Loss 3.7107 (3.8962) Prec@1 21.875 (21.582) Prec@5 47.266 (44.480)
Epoch: [3][1690/5005] Time 0.455 (0.467) Data 0.000 (0.003) Loss 3.9514 (3.8956) Prec@1 23.047 (21.587) Prec@5 43.359 (44.492)
Epoch: [3][1700/5005] Time 0.459 (0.467) Data 0.000 (0.003) Loss 4.0993 (3.8954) Prec@1 16.797 (21.594) Prec@5 43.750 (44.503)
Epoch: [3][1710/5005] Time 0.470 (0.467) Data 0.000 (0.003) Loss 4.0051 (3.8952) Prec@1 23.828 (21.597) Prec@5 42.969 (44.507)
Epoch: [3][1720/5005] Time 0.474 (0.467) Data 0.000 (0.003) Loss 3.9737 (3.8950) Prec@1 21.094 (21.598) Prec@5 41.797 (44.515)
Epoch: [3][1730/5005] Time 0.471 (0.467) Data 0.000 (0.003) Loss 3.8558 (3.8943) Prec@1 25.000 (21.610) Prec@5 42.578 (44.524)
Epoch: [3][1740/5005] Time 0.466 (0.467) Data 0.000 (0.003) Loss 3.7654 (3.8938) Prec@1 21.484 (21.611) Prec@5 46.484 (44.536)
Epoch: [3][1750/5005] Time 0.468 (0.467) Data 0.000 (0.003) Loss 3.7876 (3.8935) Prec@1 24.219 (21.613) Prec@5 42.578 (44.535)
Epoch: [3][1760/5005] Time 0.453 (0.467) Data 0.000 (0.003) Loss 3.8321 (3.8929) Prec@1 19.141 (21.625) Prec@5 43.750 (44.541)
Epoch: [3][1770/5005] Time 0.455 (0.467) Data 0.000 (0.003) Loss 4.0119 (3.8920) Prec@1 19.141 (21.642) Prec@5 44.531 (44.562)
Epoch: [3][1780/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 3.8075 (3.8912) Prec@1 22.656 (21.646) Prec@5 45.312 (44.578)
Epoch: [3][1790/5005] Time 0.477 (0.466) Data 0.000 (0.003) Loss 3.9009 (3.8907) Prec@1 19.141 (21.647) Prec@5 46.875 (44.589)
Epoch: [3][1800/5005] Time 0.450 (0.466) Data 0.000 (0.003) Loss 3.6956 (3.8899) Prec@1 21.484 (21.656) Prec@5 51.562 (44.609)
Epoch: [3][1810/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 3.7190 (3.8896) Prec@1 23.047 (21.656) Prec@5 48.828 (44.615)
Epoch: [3][1820/5005] Time 0.445 (0.466) Data 0.000 (0.003) Loss 3.5904 (3.8891) Prec@1 26.562 (21.660) Prec@5 48.828 (44.627)
Epoch: [3][1830/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 3.8191 (3.8884) Prec@1 23.047 (21.670) Prec@5 45.312 (44.643)
Epoch: [3][1840/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 3.6832 (3.8879) Prec@1 21.875 (21.674) Prec@5 49.219 (44.650)
Epoch: [3][1850/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 3.7620 (3.8875) Prec@1 20.312 (21.677) Prec@5 45.312 (44.652)
Epoch: [3][1860/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 3.9181 (3.8868) Prec@1 23.828 (21.684) Prec@5 43.750 (44.662)
Epoch: [3][1870/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 3.8071 (3.8864) Prec@1 21.094 (21.690) Prec@5 44.141 (44.676)
Epoch: [3][1880/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 3.9247 (3.8861) Prec@1 19.922 (21.697) Prec@5 41.406 (44.678)
Epoch: [3][1890/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 3.7515 (3.8855) Prec@1 25.781 (21.706) Prec@5 44.531 (44.688)
Epoch: [3][1900/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 3.7978 (3.8855) Prec@1 21.094 (21.707) Prec@5 42.188 (44.687)
Epoch: [3][1910/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 3.6729 (3.8852) Prec@1 22.656 (21.709) Prec@5 47.656 (44.687)
Epoch: [3][1920/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 3.9575 (3.8847) Prec@1 18.359 (21.716) Prec@5 45.312 (44.700)
Epoch: [3][1930/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 3.7569 (3.8845) Prec@1 21.484 (21.722) Prec@5 48.828 (44.706)
Epoch: [3][1940/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 3.5828 (3.8842) Prec@1 25.000 (21.724) Prec@5 49.219 (44.711)
Epoch: [3][1950/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 3.5593 (3.8832) Prec@1 27.344 (21.734) Prec@5 48.047 (44.734)
Epoch: [3][1960/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 3.4902 (3.8833) Prec@1 26.953 (21.731) Prec@5 51.172 (44.734)
Epoch: [3][1970/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 3.8242 (3.8826) Prec@1 21.094 (21.737) Prec@5 48.828 (44.745)
Epoch: [3][1980/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 3.6008 (3.8824) Prec@1 26.562 (21.737) Prec@5 48.828 (44.741)
Epoch: [3][1990/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 3.8597 (3.8821) Prec@1 21.094 (21.744) Prec@5 44.922 (44.745)
Epoch: [3][2000/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 3.7366 (3.8814) Prec@1 23.828 (21.756) Prec@5 44.922 (44.758)
Epoch: [3][2010/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 3.8501 (3.8807) Prec@1 23.828 (21.772) Prec@5 45.312 (44.770)
Epoch: [3][2020/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 3.6833 (3.8800) Prec@1 25.000 (21.778) Prec@5 48.438 (44.780)
Epoch: [3][2030/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 4.0160 (3.8797) Prec@1 19.531 (21.778) Prec@5 41.797 (44.787)
Epoch: [3][2040/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 3.8328 (3.8794) Prec@1 22.656 (21.784) Prec@5 45.312 (44.793)
Epoch: [3][2050/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 3.6561 (3.8788) Prec@1 26.953 (21.792) Prec@5 48.828 (44.803)
Epoch: [3][2060/5005] Time 0.477 (0.466) Data 0.000 (0.003) Loss 3.8443 (3.8784) Prec@1 24.219 (21.799) Prec@5 46.484 (44.816)
Epoch: [3][2070/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 3.6427 (3.8779) Prec@1 24.609 (21.806) Prec@5 49.609 (44.829)
Epoch: [3][2080/5005] Time 0.477 (0.466) Data 0.000 (0.003) Loss 3.8945 (3.8774) Prec@1 23.438 (21.812) Prec@5 44.531 (44.841)
Epoch: [3][2090/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 3.6780 (3.8770) Prec@1 26.953 (21.818) Prec@5 49.609 (44.851)
Epoch: [3][2100/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 3.6648 (3.8764) Prec@1 23.828 (21.821) Prec@5 48.047 (44.866)
Epoch: [3][2110/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 3.5737 (3.8759) Prec@1 26.953 (21.829) Prec@5 48.828 (44.877)
Epoch: [3][2120/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 3.9432 (3.8758) Prec@1 20.703 (21.832) Prec@5 43.359 (44.876)
Epoch: [3][2130/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 3.9627 (3.8753) Prec@1 19.531 (21.839) Prec@5 43.750 (44.885)
Epoch: [3][2140/5005] Time 0.474 (0.466) Data 0.000 (0.003) Loss 3.7136 (3.8748) Prec@1 22.266 (21.846) Prec@5 50.781 (44.901)
Epoch: [3][2150/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 3.6287 (3.8744) Prec@1 23.828 (21.849) Prec@5 49.609 (44.902)
Epoch: [3][2160/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 3.6658 (3.8741) Prec@1 27.734 (21.856) Prec@5 51.172 (44.913)
Epoch: [3][2170/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 3.7870 (3.8738) Prec@1 25.000 (21.854) Prec@5 48.047 (44.912)
Epoch: [3][2180/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 3.6989 (3.8735) Prec@1 23.047 (21.863) Prec@5 51.562 (44.920)
Epoch: [3][2190/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 4.0003 (3.8731) Prec@1 23.438 (21.869) Prec@5 43.359 (44.926)
Epoch: [3][2200/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 3.9898 (3.8729) Prec@1 21.484 (21.873) Prec@5 42.578 (44.927)
Epoch: [3][2210/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 3.5815 (3.8721) Prec@1 26.562 (21.883) Prec@5 50.000 (44.944)
Epoch: [3][2220/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 3.6647 (3.8718) Prec@1 27.734 (21.892) Prec@5 48.047 (44.946)
Epoch: [3][2230/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 3.7175 (3.8716) Prec@1 25.391 (21.895) Prec@5 50.000 (44.951)
Epoch: [3][2240/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 3.7569 (3.8708) Prec@1 26.172 (21.906) Prec@5 46.094 (44.966)
Epoch: [3][2250/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 3.6576 (3.8701) Prec@1 26.953 (21.918) Prec@5 52.344 (44.978)
Epoch: [3][2260/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 3.8101 (3.8696) Prec@1 21.484 (21.924) Prec@5 44.531 (44.989)
Epoch: [3][2270/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 3.7883 (3.8693) Prec@1 24.219 (21.931) Prec@5 47.656 (44.997)
Epoch: [3][2280/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 3.8018 (3.8692) Prec@1 24.219 (21.933) Prec@5 44.922 (44.998)
Epoch: [3][2290/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 3.8475 (3.8689) Prec@1 22.656 (21.939) Prec@5 44.922 (45.003)
Epoch: [3][2300/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 3.5733 (3.8683) Prec@1 25.781 (21.949) Prec@5 49.609 (45.016)
Epoch: [3][2310/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 3.7018 (3.8675) Prec@1 23.047 (21.962) Prec@5 48.438 (45.035)
Epoch: [3][2320/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 3.7988 (3.8672) Prec@1 23.828 (21.967) Prec@5 48.047 (45.040)
Epoch: [3][2330/5005] Time 0.456 (0.466) Data 0.000 (0.002) Loss 3.7107 (3.8667) Prec@1 25.000 (21.973) Prec@5 46.875 (45.050)
Epoch: [3][2340/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 3.8491 (3.8662) Prec@1 22.656 (21.982) Prec@5 46.484 (45.061)
Epoch: [3][2350/5005] Time 0.453 (0.466) Data 0.000 (0.002) Loss 3.8280 (3.8659) Prec@1 23.047 (21.984) Prec@5 46.094 (45.065)
Epoch: [3][2360/5005] Time 0.456 (0.466) Data 0.000 (0.002) Loss 3.7951 (3.8655) Prec@1 26.953 (21.987) Prec@5 46.484 (45.076)
Epoch: [3][2370/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 3.8026 (3.8651) Prec@1 24.219 (21.991) Prec@5 46.875 (45.083)
Epoch: [3][2380/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 3.8367 (3.8648) Prec@1 22.656 (21.992) Prec@5 45.312 (45.085)
Epoch: [3][2390/5005] Time 0.481 (0.466) Data 0.000 (0.002) Loss 3.5479 (3.8642) Prec@1 24.219 (22.000) Prec@5 49.609 (45.095)
Epoch: [3][2400/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 3.8264 (3.8636) Prec@1 23.828 (22.008) Prec@5 49.219 (45.108)
Epoch: [3][2410/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 3.8163 (3.8632) Prec@1 23.438 (22.014) Prec@5 43.359 (45.115)
Epoch: [3][2420/5005] Time 0.457 (0.466) Data 0.000 (0.002) Loss 3.5574 (3.8629) Prec@1 24.609 (22.017) Prec@5 51.172 (45.119)
Epoch: [3][2430/5005] Time 0.446 (0.466) Data 0.000 (0.002) Loss 3.5327 (3.8621) Prec@1 28.516 (22.031) Prec@5 50.781 (45.136)
Epoch: [3][2440/5005] Time 0.455 (0.466) Data 0.000 (0.002) Loss 3.6930 (3.8619) Prec@1 24.609 (22.035) Prec@5 46.484 (45.136)
Epoch: [3][2450/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 3.7748 (3.8616) Prec@1 26.172 (22.040) Prec@5 47.266 (45.141)
Epoch: [3][2460/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 3.8009 (3.8612) Prec@1 26.953 (22.046) Prec@5 47.266 (45.148)
Epoch: [3][2470/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 3.7315 (3.8607) Prec@1 21.094 (22.052) Prec@5 49.609 (45.156)
Epoch: [3][2480/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 3.9205 (3.8603) Prec@1 23.438 (22.059) Prec@5 43.359 (45.163)
Epoch: [3][2490/5005] Time 0.475 (0.466) Data 0.000 (0.002) Loss 3.6549 (3.8599) Prec@1 28.125 (22.067) Prec@5 50.391 (45.169)
Epoch: [3][2500/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 3.6971 (3.8595) Prec@1 21.875 (22.067) Prec@5 45.703 (45.174)
Epoch: [3][2510/5005] Time 0.457 (0.466) Data 0.000 (0.002) Loss 3.6041 (3.8588) Prec@1 27.344 (22.079) Prec@5 47.266 (45.189)
Epoch: [3][2520/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 3.7249 (3.8584) Prec@1 22.266 (22.087) Prec@5 47.266 (45.197)
Epoch: [3][2530/5005] Time 0.461 (0.466) Data 0.000 (0.002) Loss 3.8491 (3.8579) Prec@1 22.656 (22.096) Prec@5 46.094 (45.208)
Epoch: [3][2540/5005] Time 0.453 (0.466) Data 0.000 (0.002) Loss 3.5942 (3.8572) Prec@1 23.828 (22.105) Prec@5 49.609 (45.221)
Epoch: [3][2550/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 3.6043 (3.8563) Prec@1 23.047 (22.109) Prec@5 50.781 (45.232)
Epoch: [3][2560/5005] Time 0.457 (0.466) Data 0.000 (0.002) Loss 3.7627 (3.8560) Prec@1 24.219 (22.113) Prec@5 48.438 (45.238)
Epoch: [3][2570/5005] Time 0.465 (0.466) Data 0.000 (0.002) Loss 3.8239 (3.8559) Prec@1 16.406 (22.113) Prec@5 46.094 (45.242)
Epoch: [3][2580/5005] Time 0.462 (0.466) Data 0.000 (0.002) Loss 3.7577 (3.8552) Prec@1 22.656 (22.124) Prec@5 46.484 (45.254)
Epoch: [3][2590/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 3.7767 (3.8547) Prec@1 26.562 (22.132) Prec@5 48.047 (45.262)
Epoch: [3][2600/5005] Time 0.455 (0.466) Data 0.000 (0.002) Loss 3.6437 (3.8546) Prec@1 25.391 (22.133) Prec@5 51.172 (45.265)
Epoch: [3][2610/5005] Time 0.464 (0.466) Data 0.000 (0.002) Loss 3.8097 (3.8543) Prec@1 20.312 (22.138) Prec@5 44.922 (45.270)
Epoch: [3][2620/5005] Time 0.461 (0.466) Data 0.000 (0.002) Loss 3.7436 (3.8541) Prec@1 25.000 (22.140) Prec@5 48.047 (45.273)
Epoch: [3][2630/5005] Time 0.463 (0.466) Data 0.000 (0.002) Loss 3.7880 (3.8541) Prec@1 20.703 (22.138) Prec@5 44.922 (45.274)
Epoch: [3][2640/5005] Time 0.464 (0.466) Data 0.000 (0.002) Loss 3.8311 (3.8537) Prec@1 24.609 (22.146) Prec@5 45.703 (45.284)
Epoch: [3][2650/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 3.8122 (3.8530) Prec@1 21.484 (22.155) Prec@5 44.922 (45.297)
Epoch: [3][2660/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 3.9258 (3.8527) Prec@1 17.578 (22.154) Prec@5 45.703 (45.304)
Epoch: [3][2670/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 3.9448 (3.8523) Prec@1 18.359 (22.160) Prec@5 43.750 (45.313)
Epoch: [3][2680/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 3.9922 (3.8521) Prec@1 21.875 (22.165) Prec@5 42.578 (45.319)
Epoch: [3][2690/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 3.6264 (3.8515) Prec@1 26.172 (22.172) Prec@5 50.781 (45.329)
Epoch: [3][2700/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 3.7502 (3.8512) Prec@1 24.609 (22.178) Prec@5 50.000 (45.339)
Epoch: [3][2710/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 3.7083 (3.8506) Prec@1 20.312 (22.183) Prec@5 48.828 (45.350)
Epoch: [3][2720/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.5453 (3.8503) Prec@1 26.562 (22.186) Prec@5 51.562 (45.352)
Epoch: [3][2730/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.7606 (3.8499) Prec@1 21.875 (22.189) Prec@5 50.000 (45.359)
Epoch: [3][2740/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 3.8010 (3.8494) Prec@1 19.531 (22.194) Prec@5 41.797 (45.366)
Epoch: [3][2750/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 4.0535 (3.8490) Prec@1 14.844 (22.198) Prec@5 41.406 (45.380)
Epoch: [3][2760/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.3325 (3.8485) Prec@1 32.812 (22.207) Prec@5 58.203 (45.389)
Epoch: [3][2770/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 3.9647 (3.8484) Prec@1 21.484 (22.210) Prec@5 45.312 (45.395)
Epoch: [3][2780/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 4.1625 (3.8486) Prec@1 18.750 (22.208) Prec@5 41.016 (45.392)
Epoch: [3][2790/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 3.7038 (3.8483) Prec@1 22.656 (22.210) Prec@5 49.219 (45.400)
Epoch: [3][2800/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 4.1575 (3.8478) Prec@1 16.797 (22.216) Prec@5 39.062 (45.408)
Epoch: [3][2810/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 3.5945 (3.8472) Prec@1 26.172 (22.222) Prec@5 48.828 (45.419)
Epoch: [3][2820/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.7773 (3.8469) Prec@1 24.219 (22.228) Prec@5 45.703 (45.425)
Epoch: [3][2830/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.8037 (3.8462) Prec@1 23.828 (22.239) Prec@5 46.094 (45.437)
Epoch: [3][2840/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 3.5582 (3.8459) Prec@1 26.953 (22.244) Prec@5 48.047 (45.444)
Epoch: [3][2850/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 3.6934 (3.8456) Prec@1 24.219 (22.247) Prec@5 46.484 (45.451)
Epoch: [3][2860/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 3.7137 (3.8452) Prec@1 24.609 (22.252) Prec@5 48.047 (45.459)
Epoch: [3][2870/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 3.6195 (3.8448) Prec@1 23.828 (22.257) Prec@5 50.000 (45.466)
Epoch: [3][2880/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 3.8856 (3.8446) Prec@1 20.703 (22.259) Prec@5 44.141 (45.467)
Epoch: [3][2890/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 3.5494 (3.8441) Prec@1 25.000 (22.265) Prec@5 51.562 (45.476)
Epoch: [3][2900/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 4.0268 (3.8439) Prec@1 27.734 (22.272) Prec@5 44.141 (45.479)
Epoch: [3][2910/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 3.8657 (3.8435) Prec@1 25.000 (22.278) Prec@5 46.484 (45.489)
Epoch: [3][2920/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 3.6461 (3.8433) Prec@1 25.781 (22.278) Prec@5 50.781 (45.495)
Epoch: [3][2930/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 3.6902 (3.8429) Prec@1 24.609 (22.288) Prec@5 50.000 (45.503)
Epoch: [3][2940/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.8097 (3.8423) Prec@1 22.656 (22.297) Prec@5 47.656 (45.512)
Epoch: [3][2950/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 4.1641 (3.8420) Prec@1 18.359 (22.304) Prec@5 39.844 (45.514)
Epoch: [3][2960/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.5109 (3.8418) Prec@1 28.125 (22.309) Prec@5 50.000 (45.521)
Epoch: [3][2970/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 3.7605 (3.8411) Prec@1 24.609 (22.316) Prec@5 47.266 (45.533)
Epoch: [3][2980/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.8849 (3.8408) Prec@1 18.750 (22.319) Prec@5 41.406 (45.539)
Epoch: [3][2990/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 3.6033 (3.8402) Prec@1 26.172 (22.330) Prec@5 48.438 (45.547)
Epoch: [3][3000/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 3.6124 (3.8401) Prec@1 25.781 (22.336) Prec@5 48.438 (45.552)
Epoch: [3][3010/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 3.7060 (3.8398) Prec@1 28.125 (22.342) Prec@5 51.562 (45.556)
Epoch: [3][3020/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 3.6444 (3.8396) Prec@1 25.000 (22.347) Prec@5 48.828 (45.559)
Epoch: [3][3030/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.8678 (3.8395) Prec@1 24.219 (22.350) Prec@5 45.703 (45.561)
Epoch: [3][3040/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 3.5982 (3.8393) Prec@1 26.562 (22.353) Prec@5 51.172 (45.564)
Epoch: [3][3050/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.7573 (3.8389) Prec@1 19.531 (22.357) Prec@5 44.922 (45.571)
Epoch: [3][3060/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 3.7908 (3.8385) Prec@1 20.703 (22.360) Prec@5 46.875 (45.575)
Epoch: [3][3070/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.5671 (3.8379) Prec@1 25.781 (22.366) Prec@5 50.781 (45.584)
Epoch: [3][3080/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.8886 (3.8375) Prec@1 22.266 (22.373) Prec@5 46.094 (45.595)
Epoch: [3][3090/5005] Time 0.449 (0.465) Data 0.001 (0.002) Loss 3.8609 (3.8370) Prec@1 16.406 (22.375) Prec@5 48.047 (45.601)
Epoch: [3][3100/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.6235 (3.8365) Prec@1 24.609 (22.381) Prec@5 50.000 (45.610)
Epoch: [3][3110/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 3.4383 (3.8360) Prec@1 25.781 (22.389) Prec@5 52.734 (45.620)
Epoch: [3][3120/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.7639 (3.8357) Prec@1 24.609 (22.398) Prec@5 48.047 (45.628)
Epoch: [3][3130/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 3.7708 (3.8354) Prec@1 22.656 (22.403) Prec@5 44.531 (45.636)
Epoch: [3][3140/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 4.0770 (3.8352) Prec@1 22.266 (22.404) Prec@5 41.016 (45.638)
Epoch: [3][3150/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.6322 (3.8351) Prec@1 25.781 (22.406) Prec@5 50.000 (45.640)
Epoch: [3][3160/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.7541 (3.8348) Prec@1 22.656 (22.409) Prec@5 48.047 (45.646)
Epoch: [3][3170/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 4.1400 (3.8347) Prec@1 20.312 (22.411) Prec@5 39.453 (45.648)
Epoch: [3][3180/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.5437 (3.8342) Prec@1 24.609 (22.423) Prec@5 52.344 (45.658)
Epoch: [3][3190/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.6606 (3.8339) Prec@1 26.562 (22.427) Prec@5 51.172 (45.662)
Epoch: [3][3200/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.6039 (3.8334) Prec@1 26.562 (22.433) Prec@5 50.000 (45.673)
Epoch: [3][3210/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.8235 (3.8332) Prec@1 23.047 (22.435) Prec@5 46.484 (45.676)
Epoch: [3][3220/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.7704 (3.8331) Prec@1 22.266 (22.437) Prec@5 44.531 (45.679)
Epoch: [3][3230/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.7786 (3.8327) Prec@1 22.656 (22.441) Prec@5 46.875 (45.681)
Epoch: [3][3240/5005] Time 0.466 (0.464) Data 0.000 (0.002) Loss 3.7155 (3.8323) Prec@1 23.438 (22.447) Prec@5 47.656 (45.693)
Epoch: [3][3250/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.7728 (3.8319) Prec@1 25.781 (22.452) Prec@5 45.703 (45.700)
Epoch: [3][3260/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.7879 (3.8314) Prec@1 20.312 (22.456) Prec@5 46.875 (45.709)
Epoch: [3][3270/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.6016 (3.8311) Prec@1 24.219 (22.458) Prec@5 48.828 (45.713)
Epoch: [3][3280/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 3.7773 (3.8306) Prec@1 21.875 (22.467) Prec@5 44.922 (45.723)
Epoch: [3][3290/5005] Time 0.465 (0.464) Data 0.000 (0.002) Loss 3.5632 (3.8300) Prec@1 29.297 (22.476) Prec@5 50.391 (45.736)
Epoch: [3][3300/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 3.7289 (3.8295) Prec@1 24.219 (22.484) Prec@5 49.609 (45.748)
Epoch: [3][3310/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.8004 (3.8290) Prec@1 23.438 (22.492) Prec@5 44.922 (45.758)
Epoch: [3][3320/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 3.6026 (3.8287) Prec@1 23.438 (22.497) Prec@5 48.828 (45.761)
Epoch: [3][3330/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.9413 (3.8283) Prec@1 21.094 (22.503) Prec@5 44.531 (45.767)
Epoch: [3][3340/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.6789 (3.8279) Prec@1 25.000 (22.510) Prec@5 45.703 (45.774)
Epoch: [3][3350/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 3.6036 (3.8274) Prec@1 27.734 (22.515) Prec@5 49.219 (45.783)
Epoch: [3][3360/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 3.6104 (3.8268) Prec@1 23.047 (22.520) Prec@5 52.344 (45.795)
Epoch: [3][3370/5005] Time 0.466 (0.464) Data 0.000 (0.002) Loss 3.8677 (3.8263) Prec@1 23.828 (22.530) Prec@5 46.484 (45.807)
Epoch: [3][3380/5005] Time 0.453 (0.464) Data 0.000 (0.002) Loss 4.0070 (3.8260) Prec@1 21.094 (22.535) Prec@5 44.531 (45.815)
Epoch: [3][3390/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.7968 (3.8254) Prec@1 28.125 (22.547) Prec@5 48.047 (45.828)
Epoch: [3][3400/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.5838 (3.8249) Prec@1 28.516 (22.552) Prec@5 50.000 (45.840)
Epoch: [3][3410/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.9095 (3.8248) Prec@1 21.094 (22.555) Prec@5 45.312 (45.846)
Epoch: [3][3420/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.7804 (3.8245) Prec@1 21.484 (22.557) Prec@5 50.391 (45.851)
Epoch: [3][3430/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.7471 (3.8242) Prec@1 25.781 (22.563) Prec@5 47.656 (45.861)
Epoch: [3][3440/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 3.6458 (3.8237) Prec@1 24.609 (22.571) Prec@5 48.828 (45.871)
Epoch: [3][3450/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.5831 (3.8233) Prec@1 25.391 (22.579) Prec@5 52.734 (45.881)
Epoch: [3][3460/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.5712 (3.8230) Prec@1 26.172 (22.584) Prec@5 50.781 (45.886)
Epoch: [3][3470/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 3.9765 (3.8227) Prec@1 21.094 (22.586) Prec@5 42.969 (45.895)
Epoch: [3][3480/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.6947 (3.8223) Prec@1 28.125 (22.598) Prec@5 48.047 (45.903)
Epoch: [3][3490/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.8515 (3.8219) Prec@1 23.828 (22.604) Prec@5 45.703 (45.911)
Epoch: [3][3500/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.7072 (3.8216) Prec@1 21.875 (22.608) Prec@5 46.094 (45.914)
Epoch: [3][3510/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.4776 (3.8212) Prec@1 25.391 (22.612) Prec@5 55.859 (45.920)
Epoch: [3][3520/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 3.6829 (3.8210) Prec@1 18.750 (22.612) Prec@5 50.391 (45.926)
Epoch: [3][3530/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.6606 (3.8210) Prec@1 25.000 (22.615) Prec@5 49.609 (45.927)
Epoch: [3][3540/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.4306 (3.8205) Prec@1 23.438 (22.623) Prec@5 55.859 (45.939)
Epoch: [3][3550/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.9483 (3.8205) Prec@1 19.531 (22.622) Prec@5 43.359 (45.939)
Epoch: [3][3560/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.3763 (3.8199) Prec@1 27.344 (22.629) Prec@5 53.516 (45.950)
Epoch: [3][3570/5005] Time 0.451 (0.464) Data 0.000 (0.002) Loss 3.6127 (3.8195) Prec@1 24.609 (22.634) Prec@5 53.125 (45.959)
Epoch: [3][3580/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.6634 (3.8192) Prec@1 24.219 (22.640) Prec@5 48.438 (45.965)
Epoch: [3][3590/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.6382 (3.8191) Prec@1 24.609 (22.644) Prec@5 48.828 (45.969)
Epoch: [3][3600/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.8242 (3.8184) Prec@1 23.828 (22.651) Prec@5 44.922 (45.980)
Epoch: [3][3610/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.8841 (3.8182) Prec@1 24.219 (22.656) Prec@5 42.969 (45.980)
Epoch: [3][3620/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.7267 (3.8182) Prec@1 24.219 (22.660) Prec@5 48.047 (45.980)
Epoch: [3][3630/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.6190 (3.8177) Prec@1 24.609 (22.661) Prec@5 50.781 (45.990)
Epoch: [3][3640/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.7833 (3.8172) Prec@1 27.344 (22.670) Prec@5 50.000 (46.000)
Epoch: [3][3650/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.5410 (3.8168) Prec@1 28.125 (22.677) Prec@5 51.953 (46.011)
Epoch: [3][3660/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.6928 (3.8163) Prec@1 24.609 (22.678) Prec@5 48.047 (46.018)
Epoch: [3][3670/5005] Time 0.461 (0.464) Data 0.001 (0.002) Loss 3.7332 (3.8159) Prec@1 21.875 (22.680) Prec@5 50.781 (46.025)
Epoch: [3][3680/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.5732 (3.8155) Prec@1 30.078 (22.687) Prec@5 50.000 (46.032)
Epoch: [3][3690/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.6677 (3.8151) Prec@1 27.344 (22.694) Prec@5 46.875 (46.036)
Epoch: [3][3700/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 3.4059 (3.8146) Prec@1 28.906 (22.701) Prec@5 55.469 (46.047)
Epoch: [3][3710/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.8162 (3.8143) Prec@1 23.828 (22.703) Prec@5 48.828 (46.051)
Epoch: [3][3720/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.6861 (3.8140) Prec@1 26.172 (22.707) Prec@5 45.312 (46.056)
Epoch: [3][3730/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.7709 (3.8136) Prec@1 28.125 (22.712) Prec@5 50.000 (46.061)
Epoch: [3][3740/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.5870 (3.8132) Prec@1 28.516 (22.724) Prec@5 48.828 (46.067)
Epoch: [3][3750/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.6600 (3.8129) Prec@1 25.000 (22.728) Prec@5 51.953 (46.074)
Epoch: [3][3760/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.6824 (3.8126) Prec@1 22.266 (22.730) Prec@5 47.266 (46.083)
Epoch: [3][3770/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 3.6424 (3.8123) Prec@1 25.391 (22.736) Prec@5 48.828 (46.089)
Epoch: [3][3780/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.7142 (3.8120) Prec@1 24.219 (22.741) Prec@5 47.656 (46.095)
Epoch: [3][3790/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.9274 (3.8118) Prec@1 20.703 (22.744) Prec@5 42.578 (46.099)
Epoch: [3][3800/5005] Time 0.460 (0.464) Data 0.001 (0.002) Loss 3.7164 (3.8114) Prec@1 24.219 (22.752) Prec@5 48.438 (46.106)
Epoch: [3][3810/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 3.8024 (3.8109) Prec@1 25.391 (22.758) Prec@5 47.656 (46.112)
Epoch: [3][3820/5005] Time 0.462 (0.464) Data 0.001 (0.002) Loss 3.6105 (3.8105) Prec@1 25.391 (22.764) Prec@5 47.656 (46.123)
Epoch: [3][3830/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 3.4795 (3.8100) Prec@1 24.219 (22.772) Prec@5 47.656 (46.129)
Epoch: [3][3840/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 3.7397 (3.8099) Prec@1 25.000 (22.774) Prec@5 49.219 (46.132)
Epoch: [3][3850/5005] Time 0.456 (0.463) Data 0.001 (0.002) Loss 3.7139 (3.8097) Prec@1 23.047 (22.778) Prec@5 44.141 (46.135)
Epoch: [3][3860/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.5233 (3.8091) Prec@1 27.344 (22.786) Prec@5 51.953 (46.143)
Epoch: [3][3870/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.6903 (3.8086) Prec@1 24.609 (22.792) Prec@5 48.047 (46.154)
Epoch: [3][3880/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.8661 (3.8083) Prec@1 20.312 (22.796) Prec@5 43.359 (46.160)
Epoch: [3][3890/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.8836 (3.8079) Prec@1 22.656 (22.801) Prec@5 43.359 (46.167)
Epoch: [3][3900/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.7201 (3.8076) Prec@1 22.266 (22.807) Prec@5 45.703 (46.174)
Epoch: [3][3910/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.6558 (3.8072) Prec@1 22.656 (22.810) Prec@5 47.656 (46.181)
Epoch: [3][3920/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.7082 (3.8068) Prec@1 24.609 (22.815) Prec@5 48.047 (46.189)
Epoch: [3][3930/5005] Time 0.468 (0.463) Data 0.000 (0.002) Loss 3.6867 (3.8064) Prec@1 27.344 (22.821) Prec@5 50.000 (46.197)
Epoch: [3][3940/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.7369 (3.8061) Prec@1 23.047 (22.827) Prec@5 48.047 (46.202)
Epoch: [3][3950/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.6133 (3.8056) Prec@1 26.562 (22.836) Prec@5 49.609 (46.212)
Epoch: [3][3960/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.8468 (3.8053) Prec@1 21.094 (22.840) Prec@5 44.531 (46.217)
Epoch: [3][3970/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.7533 (3.8049) Prec@1 24.219 (22.848) Prec@5 48.047 (46.225)
Epoch: [3][3980/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.7622 (3.8045) Prec@1 24.219 (22.857) Prec@5 47.266 (46.233)
Epoch: [3][3990/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.6319 (3.8042) Prec@1 26.953 (22.860) Prec@5 47.656 (46.238)
Epoch: [3][4000/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.4925 (3.8038) Prec@1 25.000 (22.869) Prec@5 51.953 (46.244)
Epoch: [3][4010/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.6413 (3.8035) Prec@1 23.438 (22.870) Prec@5 46.484 (46.247)
Epoch: [3][4020/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.8026 (3.8031) Prec@1 25.000 (22.878) Prec@5 48.438 (46.255)
Epoch: [3][4030/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.6564 (3.8027) Prec@1 26.562 (22.888) Prec@5 48.828 (46.264)
Epoch: [3][4040/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.8363 (3.8024) Prec@1 22.266 (22.894) Prec@5 46.875 (46.275)
Epoch: [3][4050/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.7531 (3.8019) Prec@1 23.047 (22.900) Prec@5 46.484 (46.282)
Epoch: [3][4060/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.5539 (3.8014) Prec@1 30.469 (22.909) Prec@5 51.562 (46.290)
Epoch: [3][4070/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.6475 (3.8010) Prec@1 25.000 (22.914) Prec@5 46.484 (46.296)
Epoch: [3][4080/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.5583 (3.8004) Prec@1 24.219 (22.921) Prec@5 46.875 (46.307)
Epoch: [3][4090/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.5174 (3.8000) Prec@1 28.125 (22.929) Prec@5 49.219 (46.314)
Epoch: [3][4100/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.7111 (3.7995) Prec@1 23.438 (22.935) Prec@5 46.484 (46.323)
Epoch: [3][4110/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.7882 (3.7992) Prec@1 25.391 (22.938) Prec@5 46.484 (46.329)
Epoch: [3][4120/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.6251 (3.7988) Prec@1 25.781 (22.944) Prec@5 48.438 (46.338)
Epoch: [3][4130/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 3.5466 (3.7985) Prec@1 23.438 (22.949) Prec@5 51.172 (46.346)
Epoch: [3][4140/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.5916 (3.7981) Prec@1 24.609 (22.954) Prec@5 51.953 (46.352)
Epoch: [3][4150/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.6629 (3.7977) Prec@1 28.125 (22.960) Prec@5 44.922 (46.360)
Epoch: [3][4160/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.7768 (3.7973) Prec@1 19.531 (22.966) Prec@5 46.875 (46.367)
Epoch: [3][4170/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 4.0068 (3.7968) Prec@1 21.094 (22.975) Prec@5 44.922 (46.376)
Epoch: [3][4180/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.9861 (3.7965) Prec@1 20.312 (22.977) Prec@5 44.922 (46.383)
Epoch: [3][4190/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.6559 (3.7960) Prec@1 24.219 (22.980) Prec@5 50.781 (46.395)
Epoch: [3][4200/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.3626 (3.7957) Prec@1 32.031 (22.985) Prec@5 58.203 (46.401)
Epoch: [3][4210/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.7310 (3.7954) Prec@1 25.000 (22.989) Prec@5 48.828 (46.404)
Epoch: [3][4220/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.4753 (3.7950) Prec@1 28.906 (22.998) Prec@5 53.516 (46.411)
Epoch: [3][4230/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.5257 (3.7947) Prec@1 23.438 (23.002) Prec@5 50.391 (46.418)
Epoch: [3][4240/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.4964 (3.7942) Prec@1 27.344 (23.009) Prec@5 53.516 (46.425)
Epoch: [3][4250/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.4285 (3.7938) Prec@1 31.641 (23.020) Prec@5 54.688 (46.434)
Epoch: [3][4260/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.6713 (3.7933) Prec@1 21.484 (23.026) Prec@5 48.828 (46.443)
Epoch: [3][4270/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.7644 (3.7931) Prec@1 25.391 (23.029) Prec@5 47.266 (46.448)
Epoch: [3][4280/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.6237 (3.7928) Prec@1 25.000 (23.031) Prec@5 47.656 (46.454)
Epoch: [3][4290/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.7725 (3.7925) Prec@1 25.000 (23.034) Prec@5 47.656 (46.459)
Epoch: [3][4300/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.8206 (3.7923) Prec@1 20.312 (23.040) Prec@5 46.094 (46.464)
Epoch: [3][4310/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.5873 (3.7918) Prec@1 23.047 (23.049) Prec@5 48.047 (46.472)
Epoch: [3][4320/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.7322 (3.7913) Prec@1 25.000 (23.056) Prec@5 48.828 (46.481)
Epoch: [3][4330/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.4899 (3.7907) Prec@1 27.344 (23.064) Prec@5 53.125 (46.494)
Epoch: [3][4340/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.7266 (3.7904) Prec@1 26.172 (23.068) Prec@5 50.391 (46.505)
Epoch: [3][4350/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 3.6734 (3.7901) Prec@1 20.703 (23.069) Prec@5 46.094 (46.508)
Epoch: [3][4360/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.6819 (3.7897) Prec@1 26.953 (23.075) Prec@5 50.781 (46.516)
Epoch: [3][4370/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.4311 (3.7893) Prec@1 25.781 (23.079) Prec@5 53.125 (46.524)
Epoch: [3][4380/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.5124 (3.7887) Prec@1 27.734 (23.090) Prec@5 51.953 (46.534)
Epoch: [3][4390/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.6420 (3.7884) Prec@1 26.953 (23.098) Prec@5 50.781 (46.540)
Epoch: [3][4400/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.7751 (3.7879) Prec@1 26.172 (23.104) Prec@5 45.703 (46.547)
Epoch: [3][4410/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.8411 (3.7877) Prec@1 22.266 (23.107) Prec@5 46.875 (46.552)
Epoch: [3][4420/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.8117 (3.7875) Prec@1 19.922 (23.108) Prec@5 47.266 (46.555)
Epoch: [3][4430/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 4.0181 (3.7872) Prec@1 20.312 (23.113) Prec@5 41.797 (46.561)
Epoch: [3][4440/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.6776 (3.7870) Prec@1 24.219 (23.118) Prec@5 45.312 (46.564)
Epoch: [3][4450/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.5870 (3.7866) Prec@1 25.781 (23.124) Prec@5 50.391 (46.571)
Epoch: [3][4460/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.4625 (3.7862) Prec@1 27.734 (23.128) Prec@5 52.344 (46.580)
Epoch: [3][4470/5005] Time 0.459 (0.463) Data 0.001 (0.002) Loss 3.3490 (3.7855) Prec@1 34.375 (23.138) Prec@5 55.469 (46.593)
Epoch: [3][4480/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.6150 (3.7851) Prec@1 29.297 (23.146) Prec@5 48.828 (46.602)
Epoch: [3][4490/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.7488 (3.7848) Prec@1 24.219 (23.149) Prec@5 47.266 (46.608)
Epoch: [3][4500/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 3.5961 (3.7844) Prec@1 25.781 (23.155) Prec@5 50.781 (46.615)
Epoch: [3][4510/5005] Time 0.462 (0.463) Data 0.000 (0.001) Loss 3.4010 (3.7840) Prec@1 27.344 (23.160) Prec@5 52.344 (46.620)
Epoch: [3][4520/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 3.4877 (3.7835) Prec@1 22.266 (23.167) Prec@5 50.000 (46.630)
Epoch: [3][4530/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 3.8946 (3.7831) Prec@1 22.266 (23.172) Prec@5 44.922 (46.636)
Epoch: [3][4540/5005] Time 0.464 (0.463) Data 0.001 (0.001) Loss 3.5695 (3.7826) Prec@1 26.562 (23.179) Prec@5 51.172 (46.646)
Epoch: [3][4550/5005] Time 0.448 (0.463) Data 0.000 (0.001) Loss 3.5647 (3.7822) Prec@1 28.516 (23.185) Prec@5 49.609 (46.655)
Epoch: [3][4560/5005] Time 0.458 (0.463) Data 0.000 (0.001) Loss 3.3039 (3.7818) Prec@1 28.906 (23.192) Prec@5 59.766 (46.662)
Epoch: [3][4570/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 3.7587 (3.7815) Prec@1 23.047 (23.199) Prec@5 45.312 (46.668)
Epoch: [3][4580/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 3.8228 (3.7812) Prec@1 24.219 (23.202) Prec@5 48.828 (46.672)
Epoch: [3][4590/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 3.6637 (3.7808) Prec@1 26.953 (23.210) Prec@5 50.000 (46.681)
Epoch: [3][4600/5005] Time 0.464 (0.463) Data 0.000 (0.001) Loss 3.9291 (3.7804) Prec@1 23.047 (23.215) Prec@5 42.969 (46.689)
Epoch: [3][4610/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 3.8302 (3.7802) Prec@1 22.656 (23.219) Prec@5 49.609 (46.694)
Epoch: [3][4620/5005] Time 0.463 (0.463) Data 0.000 (0.001) Loss 3.9175 (3.7799) Prec@1 21.875 (23.221) Prec@5 43.750 (46.702)
Epoch: [3][4630/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 3.5405 (3.7795) Prec@1 25.000 (23.225) Prec@5 50.000 (46.708)
Epoch: [3][4640/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 3.8083 (3.7792) Prec@1 21.094 (23.228) Prec@5 50.000 (46.716)
Epoch: [3][4650/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 3.5200 (3.7788) Prec@1 24.219 (23.231) Prec@5 53.516 (46.724)
Epoch: [3][4660/5005] Time 0.459 (0.463) Data 0.001 (0.001) Loss 3.8911 (3.7785) Prec@1 23.828 (23.235) Prec@5 49.219 (46.731)
Epoch: [3][4670/5005] Time 0.454 (0.463) Data 0.000 (0.001) Loss 3.5446 (3.7782) Prec@1 22.656 (23.236) Prec@5 51.562 (46.736)
Epoch: [3][4680/5005] Time 0.461 (0.463) Data 0.000 (0.001) Loss 3.4182 (3.7779) Prec@1 29.688 (23.240) Prec@5 51.953 (46.741)
Epoch: [3][4690/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 3.5759 (3.7776) Prec@1 24.609 (23.244) Prec@5 51.562 (46.747)
Epoch: [3][4700/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 3.6238 (3.7774) Prec@1 23.047 (23.246) Prec@5 50.000 (46.751)
Epoch: [3][4710/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 3.5244 (3.7770) Prec@1 31.250 (23.253) Prec@5 53.906 (46.757)
Epoch: [3][4720/5005] Time 0.464 (0.463) Data 0.000 (0.001) Loss 3.7500 (3.7767) Prec@1 23.828 (23.257) Prec@5 47.656 (46.764)
Epoch: [3][4730/5005] Time 0.463 (0.463) Data 0.000 (0.001) Loss 3.8534 (3.7765) Prec@1 23.828 (23.263) Prec@5 46.094 (46.770)
Epoch: [3][4740/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 3.6993 (3.7761) Prec@1 24.609 (23.268) Prec@5 50.391 (46.780)
Epoch: [3][4750/5005] Time 0.463 (0.463) Data 0.000 (0.001) Loss 3.6500 (3.7757) Prec@1 20.703 (23.274) Prec@5 45.312 (46.787)
Epoch: [3][4760/5005] Time 0.462 (0.463) Data 0.000 (0.001) Loss 3.4941 (3.7754) Prec@1 26.172 (23.281) Prec@5 48.438 (46.793)
Epoch: [3][4770/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 3.7688 (3.7752) Prec@1 24.219 (23.284) Prec@5 46.094 (46.797)
Epoch: [3][4780/5005] Time 0.467 (0.463) Data 0.000 (0.001) Loss 3.8249 (3.7749) Prec@1 22.266 (23.287) Prec@5 43.750 (46.801)
Epoch: [3][4790/5005] Time 0.458 (0.463) Data 0.000 (0.001) Loss 3.5682 (3.7746) Prec@1 28.516 (23.290) Prec@5 52.344 (46.805)
Epoch: [3][4800/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 3.6912 (3.7744) Prec@1 22.656 (23.293) Prec@5 50.000 (46.808)
Epoch: [3][4810/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 3.5962 (3.7739) Prec@1 30.078 (23.301) Prec@5 51.562 (46.818)
Epoch: [3][4820/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 3.7647 (3.7736) Prec@1 21.484 (23.305) Prec@5 49.219 (46.825)
Epoch: [3][4830/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 3.7019 (3.7732) Prec@1 23.438 (23.310) Prec@5 47.656 (46.832)
Epoch: [3][4840/5005] Time 0.462 (0.463) Data 0.000 (0.001) Loss 3.7174 (3.7730) Prec@1 22.656 (23.316) Prec@5 48.438 (46.837)
Epoch: [3][4850/5005] Time 0.457 (0.463) Data 0.000 (0.001) Loss 3.5297 (3.7726) Prec@1 25.781 (23.321) Prec@5 50.000 (46.845)
Epoch: [3][4860/5005] Time 0.459 (0.463) Data 0.000 (0.001) Loss 3.5937 (3.7722) Prec@1 25.000 (23.325) Prec@5 51.562 (46.852)
Epoch: [3][4870/5005] Time 0.458 (0.463) Data 0.000 (0.001) Loss 3.3383 (3.7716) Prec@1 35.547 (23.334) Prec@5 56.250 (46.864)
Epoch: [3][4880/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 3.7293 (3.7714) Prec@1 26.562 (23.339) Prec@5 47.656 (46.868)
Epoch: [3][4890/5005] Time 0.453 (0.463) Data 0.000 (0.001) Loss 3.7118 (3.7711) Prec@1 30.859 (23.346) Prec@5 47.266 (46.874)
Epoch: [3][4900/5005] Time 0.465 (0.463) Data 0.000 (0.001) Loss 3.5418 (3.7709) Prec@1 29.297 (23.352) Prec@5 48.828 (46.879)
Epoch: [3][4910/5005] Time 0.456 (0.463) Data 0.000 (0.001) Loss 3.6630 (3.7704) Prec@1 26.172 (23.359) Prec@5 50.391 (46.888)
Epoch: [3][4920/5005] Time 0.456 (0.463) Data 0.001 (0.001) Loss 3.7341 (3.7700) Prec@1 30.859 (23.367) Prec@5 50.781 (46.896)
Epoch: [3][4930/5005] Time 0.452 (0.463) Data 0.000 (0.001) Loss 3.5413 (3.7696) Prec@1 28.516 (23.374) Prec@5 53.906 (46.904)
Epoch: [3][4940/5005] Time 0.463 (0.463) Data 0.000 (0.001) Loss 3.6465 (3.7691) Prec@1 22.266 (23.377) Prec@5 47.656 (46.911)
Epoch: [3][4950/5005] Time 0.454 (0.463) Data 0.000 (0.001) Loss 3.4465 (3.7688) Prec@1 22.656 (23.380) Prec@5 51.562 (46.915)
Epoch: [3][4960/5005] Time 0.460 (0.463) Data 0.000 (0.001) Loss 3.5203 (3.7683) Prec@1 29.688 (23.388) Prec@5 50.000 (46.924)
Epoch: [3][4970/5005] Time 0.455 (0.463) Data 0.000 (0.001) Loss 3.5554 (3.7679) Prec@1 28.906 (23.391) Prec@5 50.000 (46.930)
Epoch: [3][4980/5005] Time 0.451 (0.462) Data 0.000 (0.001) Loss 3.6101 (3.7675) Prec@1 27.344 (23.399) Prec@5 51.172 (46.937)
Epoch: [3][4990/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 3.7542 (3.7670) Prec@1 23.828 (23.406) Prec@5 46.094 (46.947)
Epoch: [3][5000/5005] Time 0.452 (0.462) Data 0.000 (0.001) Loss 3.7630 (3.7666) Prec@1 21.875 (23.409) Prec@5 49.219 (46.957)
Test: [0/196] Time 5.145 (5.145) Loss 1.7544 (1.7544) Prec@1 60.938 (60.938) Prec@5 86.328 (86.328)
Test: [10/196] Time 0.153 (0.605) Loss 3.2137 (2.5785) Prec@1 27.344 (42.010) Prec@5 54.297 (68.679)
Test: [20/196] Time 0.153 (0.390) Loss 2.3439 (2.5718) Prec@1 48.047 (42.485) Prec@5 70.703 (68.638)
Test: [30/196] Time 0.148 (0.315) Loss 2.0656 (2.5364) Prec@1 45.312 (42.603) Prec@5 80.859 (69.216)
Test: [40/196] Time 0.149 (0.275) Loss 2.8371 (2.6178) Prec@1 28.125 (38.986) Prec@5 66.797 (67.797)
Test: [50/196] Time 0.149 (0.252) Loss 2.3147 (2.5903) Prec@1 40.625 (38.465) Prec@5 77.734 (68.712)
Test: [60/196] Time 0.155 (0.236) Loss 2.7330 (2.5919) Prec@1 31.641 (37.961) Prec@5 69.141 (68.884)
Test: [70/196] Time 0.157 (0.224) Loss 2.8466 (2.5830) Prec@1 35.547 (38.562) Prec@5 66.016 (68.849)
Test: [80/196] Time 0.149 (0.215) Loss 3.7487 (2.5996) Prec@1 23.828 (38.585) Prec@5 49.609 (68.610)
Test: [90/196] Time 0.152 (0.208) Loss 4.3897 (2.7103) Prec@1 15.625 (37.169) Prec@5 35.156 (66.638)
Test: [100/196] Time 0.150 (0.203) Loss 4.2954 (2.7888) Prec@1 15.625 (36.208) Prec@5 39.453 (65.118)
Test: [110/196] Time 0.148 (0.198) Loss 3.0047 (2.8212) Prec@1 38.672 (36.096) Prec@5 60.156 (64.548)
Test: [120/196] Time 0.155 (0.194) Loss 4.2272 (2.8718) Prec@1 22.266 (35.750) Prec@5 37.109 (63.633)
Test: [130/196] Time 0.151 (0.191) Loss 3.0084 (2.9067) Prec@1 34.766 (35.183) Prec@5 62.500 (63.076)
Test: [140/196] Time 0.154 (0.188) Loss 3.0475 (2.9438) Prec@1 33.203 (34.774) Prec@5 66.797 (62.317)
Test: [150/196] Time 0.149 (0.186) Loss 3.9001 (2.9856) Prec@1 24.219 (34.310) Prec@5 44.141 (61.551)
Test: [160/196] Time 0.201 (0.184) Loss 3.0819 (3.0080) Prec@1 35.547 (34.147) Prec@5 62.109 (61.124)
Test: [170/196] Time 0.149 (0.182) Loss 2.4200 (3.0392) Prec@1 39.453 (33.617) Prec@5 75.000 (60.551)
Test: [180/196] Time 0.149 (0.180) Loss 2.1032 (3.0558) Prec@1 50.781 (33.441) Prec@5 78.516 (60.256)
Test: [190/196] Time 0.148 (0.179) Loss 2.2159 (3.0382) Prec@1 41.016 (33.669) Prec@5 76.172 (60.571)
* Prec@1 34.016 Prec@5 60.832
Epoch: [4][0/5005] Time 4.391 (4.391) Data 4.210 (4.210) Loss 3.4619 (3.4619) Prec@1 28.125 (28.125) Prec@5 54.688 (54.688)
Epoch: [4][10/5005] Time 0.454 (0.832) Data 0.000 (0.446) Loss 3.5656 (3.5226) Prec@1 26.953 (26.705) Prec@5 47.656 (50.817)
Epoch: [4][20/5005] Time 0.469 (0.656) Data 0.000 (0.234) Loss 3.2609 (3.5293) Prec@1 29.297 (26.730) Prec@5 57.812 (50.279)
Epoch: [4][30/5005] Time 0.474 (0.594) Data 0.000 (0.159) Loss 3.7927 (3.5175) Prec@1 23.438 (26.386) Prec@5 46.875 (50.806)
Epoch: [4][40/5005] Time 0.476 (0.562) Data 0.000 (0.120) Loss 3.6297 (3.5361) Prec@1 26.172 (26.324) Prec@5 52.344 (50.848)
Epoch: [4][50/5005] Time 0.468 (0.543) Data 0.000 (0.097) Loss 3.3637 (3.5325) Prec@1 23.438 (26.287) Prec@5 52.344 (51.264)
Epoch: [4][60/5005] Time 0.472 (0.530) Data 0.000 (0.081) Loss 3.6304 (3.5386) Prec@1 23.828 (26.505) Prec@5 46.094 (51.127)
Epoch: [4][70/5005] Time 0.473 (0.521) Data 0.000 (0.070) Loss 3.5602 (3.5471) Prec@1 28.125 (26.474) Prec@5 50.000 (50.875)
Epoch: [4][80/5005] Time 0.456 (0.514) Data 0.000 (0.061) Loss 3.5304 (3.5587) Prec@1 26.172 (26.529) Prec@5 54.297 (50.776)
Epoch: [4][90/5005] Time 0.457 (0.508) Data 0.000 (0.054) Loss 3.6398 (3.5521) Prec@1 25.000 (26.481) Prec@5 48.828 (50.867)
Epoch: [4][100/5005] Time 0.469 (0.504) Data 0.000 (0.049) Loss 3.6791 (3.5566) Prec@1 25.000 (26.408) Prec@5 48.828 (50.890)
Epoch: [4][110/5005] Time 0.469 (0.500) Data 0.000 (0.045) Loss 3.6143 (3.5596) Prec@1 25.000 (26.355) Prec@5 46.875 (50.809)
Epoch: [4][120/5005] Time 0.453 (0.497) Data 0.000 (0.041) Loss 3.5495 (3.5609) Prec@1 26.953 (26.340) Prec@5 51.562 (50.788)
Epoch: [4][130/5005] Time 0.467 (0.494) Data 0.000 (0.038) Loss 3.7134 (3.5607) Prec@1 22.656 (26.309) Prec@5 49.609 (50.817)
Epoch: [4][140/5005] Time 0.449 (0.492) Data 0.000 (0.035) Loss 3.6520 (3.5670) Prec@1 25.000 (26.183) Prec@5 46.094 (50.718)
Epoch: [4][150/5005] Time 0.450 (0.490) Data 0.000 (0.033) Loss 3.3822 (3.5615) Prec@1 26.953 (26.257) Prec@5 55.859 (50.779)
Epoch: [4][160/5005] Time 0.477 (0.489) Data 0.000 (0.031) Loss 3.3888 (3.5606) Prec@1 30.469 (26.298) Prec@5 54.688 (50.725)
Epoch: [4][170/5005] Time 0.466 (0.487) Data 0.000 (0.029) Loss 3.4288 (3.5599) Prec@1 25.391 (26.298) Prec@5 52.344 (50.726)
Epoch: [4][180/5005] Time 0.455 (0.486) Data 0.000 (0.028) Loss 3.5759 (3.5606) Prec@1 23.438 (26.286) Prec@5 51.562 (50.723)
Epoch: [4][190/5005] Time 0.458 (0.485) Data 0.000 (0.026) Loss 3.6467 (3.5576) Prec@1 26.172 (26.352) Prec@5 50.391 (50.736)
Epoch: [4][200/5005] Time 0.451 (0.483) Data 0.000 (0.025) Loss 3.3471 (3.5529) Prec@1 31.250 (26.477) Prec@5 51.562 (50.824)
Epoch: [4][210/5005] Time 0.453 (0.483) Data 0.000 (0.024) Loss 3.4384 (3.5540) Prec@1 25.781 (26.450) Prec@5 51.953 (50.815)
Epoch: [4][220/5005] Time 0.456 (0.482) Data 0.000 (0.023) Loss 3.5431 (3.5551) Prec@1 24.609 (26.442) Prec@5 46.875 (50.790)
Epoch: [4][230/5005] Time 0.478 (0.481) Data 0.000 (0.022) Loss 3.4490 (3.5513) Prec@1 31.250 (26.544) Prec@5 51.953 (50.862)
Epoch: [4][240/5005] Time 0.468 (0.480) Data 0.000 (0.021) Loss 3.6704 (3.5547) Prec@1 26.172 (26.535) Prec@5 49.219 (50.825)
Epoch: [4][250/5005] Time 0.477 (0.479) Data 0.000 (0.020) Loss 3.5324 (3.5503) Prec@1 26.172 (26.583) Prec@5 48.047 (50.890)
Epoch: [4][260/5005] Time 0.468 (0.479) Data 0.000 (0.019) Loss 3.6351 (3.5500) Prec@1 25.781 (26.622) Prec@5 47.656 (50.910)
Epoch: [4][270/5005] Time 0.479 (0.478) Data 0.000 (0.019) Loss 3.3530 (3.5488) Prec@1 30.469 (26.652) Prec@5 56.641 (50.910)
Epoch: [4][280/5005] Time 0.473 (0.478) Data 0.000 (0.018) Loss 3.3774 (3.5473) Prec@1 26.562 (26.663) Prec@5 55.469 (50.924)
Epoch: [4][290/5005] Time 0.458 (0.477) Data 0.000 (0.017) Loss 3.5422 (3.5466) Prec@1 28.516 (26.639) Prec@5 51.172 (50.920)
Epoch: [4][300/5005] Time 0.450 (0.477) Data 0.000 (0.017) Loss 3.6948 (3.5475) Prec@1 26.953 (26.634) Prec@5 50.391 (50.937)
Epoch: [4][310/5005] Time 0.468 (0.476) Data 0.000 (0.016) Loss 3.5200 (3.5480) Prec@1 27.734 (26.573) Prec@5 50.391 (50.938)
Epoch: [4][320/5005] Time 0.458 (0.476) Data 0.000 (0.016) Loss 3.4834 (3.5486) Prec@1 23.828 (26.577) Prec@5 51.172 (50.939)
Epoch: [4][330/5005] Time 0.461 (0.475) Data 0.000 (0.015) Loss 3.6590 (3.5504) Prec@1 18.750 (26.522) Prec@5 45.703 (50.931)
Epoch: [4][340/5005] Time 0.471 (0.475) Data 0.000 (0.015) Loss 3.4996 (3.5506) Prec@1 26.953 (26.530) Prec@5 53.125 (50.937)
Epoch: [4][350/5005] Time 0.475 (0.475) Data 0.000 (0.014) Loss 3.6498 (3.5517) Prec@1 25.391 (26.540) Prec@5 48.828 (50.924)
Epoch: [4][360/5005] Time 0.469 (0.475) Data 0.000 (0.014) Loss 3.4028 (3.5517) Prec@1 30.078 (26.537) Prec@5 52.344 (50.895)
Epoch: [4][370/5005] Time 0.459 (0.474) Data 0.000 (0.014) Loss 3.7827 (3.5540) Prec@1 22.266 (26.476) Prec@5 46.875 (50.831)
Epoch: [4][380/5005] Time 0.467 (0.474) Data 0.000 (0.013) Loss 3.8269 (3.5530) Prec@1 21.484 (26.453) Prec@5 47.656 (50.828)
Epoch: [4][390/5005] Time 0.455 (0.474) Data 0.000 (0.013) Loss 3.7044 (3.5520) Prec@1 27.734 (26.485) Prec@5 50.781 (50.855)
Epoch: [4][400/5005] Time 0.461 (0.473) Data 0.000 (0.013) Loss 3.5713 (3.5510) Prec@1 24.609 (26.493) Prec@5 50.000 (50.892)
Epoch: [4][410/5005] Time 0.457 (0.473) Data 0.000 (0.012) Loss 3.3160 (3.5477) Prec@1 30.078 (26.537) Prec@5 55.078 (50.955)
Epoch: [4][420/5005] Time 0.476 (0.473) Data 0.000 (0.012) Loss 3.6868 (3.5466) Prec@1 22.656 (26.546) Prec@5 50.391 (50.976)
Epoch: [4][430/5005] Time 0.472 (0.473) Data 0.000 (0.012) Loss 3.7114 (3.5478) Prec@1 27.734 (26.555) Prec@5 48.438 (50.947)
Epoch: [4][440/5005] Time 0.477 (0.473) Data 0.000 (0.012) Loss 3.2821 (3.5460) Prec@1 31.250 (26.570) Prec@5 54.688 (50.986)
Epoch: [4][450/5005] Time 0.457 (0.472) Data 0.000 (0.011) Loss 3.6820 (3.5450) Prec@1 23.438 (26.555) Prec@5 46.875 (51.004)
Epoch: [4][460/5005] Time 0.473 (0.472) Data 0.000 (0.011) Loss 3.3555 (3.5445) Prec@1 28.906 (26.561) Prec@5 54.297 (51.018)
Epoch: [4][470/5005] Time 0.478 (0.472) Data 0.000 (0.011) Loss 3.6689 (3.5437) Prec@1 23.828 (26.570) Prec@5 50.781 (51.049)
Epoch: [4][480/5005] Time 0.472 (0.472) Data 0.000 (0.011) Loss 3.7316 (3.5430) Prec@1 21.875 (26.573) Prec@5 46.875 (51.054)
Epoch: [4][490/5005] Time 0.454 (0.472) Data 0.000 (0.010) Loss 3.6578 (3.5441) Prec@1 22.656 (26.542) Prec@5 46.094 (51.035)
Epoch: [4][500/5005] Time 0.466 (0.471) Data 0.000 (0.010) Loss 3.5213 (3.5441) Prec@1 28.516 (26.548) Prec@5 55.859 (51.056)
Epoch: [4][510/5005] Time 0.467 (0.471) Data 0.000 (0.010) Loss 3.5073 (3.5436) Prec@1 22.656 (26.542) Prec@5 47.656 (51.055)
Epoch: [4][520/5005] Time 0.454 (0.471) Data 0.000 (0.010) Loss 3.5610 (3.5429) Prec@1 24.609 (26.558) Prec@5 50.781 (51.056)
Epoch: [4][530/5005] Time 0.453 (0.471) Data 0.000 (0.010) Loss 3.5105 (3.5434) Prec@1 29.688 (26.530) Prec@5 50.391 (51.041)
Epoch: [4][540/5005] Time 0.469 (0.471) Data 0.000 (0.009) Loss 3.7190 (3.5440) Prec@1 23.047 (26.529) Prec@5 50.781 (51.042)
Epoch: [4][550/5005] Time 0.455 (0.471) Data 0.000 (0.009) Loss 3.6614 (3.5448) Prec@1 25.391 (26.511) Prec@5 48.047 (51.026)
Epoch: [4][560/5005] Time 0.471 (0.471) Data 0.000 (0.009) Loss 3.4391 (3.5437) Prec@1 30.078 (26.542) Prec@5 51.562 (51.049)
Epoch: [4][570/5005] Time 0.455 (0.470) Data 0.000 (0.009) Loss 3.6662 (3.5441) Prec@1 23.828 (26.534) Prec@5 50.391 (51.049)
Epoch: [4][580/5005] Time 0.480 (0.470) Data 0.001 (0.009) Loss 3.3446 (3.5432) Prec@1 27.734 (26.536) Prec@5 52.344 (51.050)
Epoch: [4][590/5005] Time 0.446 (0.470) Data 0.000 (0.009) Loss 3.7464 (3.5428) Prec@1 25.000 (26.557) Prec@5 48.047 (51.052)
Epoch: [4][600/5005] Time 0.455 (0.470) Data 0.000 (0.009) Loss 3.5371 (3.5438) Prec@1 26.172 (26.541) Prec@5 49.609 (51.030)
Epoch: [4][610/5005] Time 0.457 (0.470) Data 0.000 (0.008) Loss 3.7234 (3.5440) Prec@1 23.047 (26.538) Prec@5 48.047 (51.020)
Epoch: [4][620/5005] Time 0.457 (0.470) Data 0.000 (0.008) Loss 3.4715 (3.5436) Prec@1 30.859 (26.556) Prec@5 53.906 (51.032)
Epoch: [4][630/5005] Time 0.469 (0.470) Data 0.000 (0.008) Loss 3.3594 (3.5422) Prec@1 28.906 (26.583) Prec@5 51.953 (51.072)
Epoch: [4][640/5005] Time 0.469 (0.470) Data 0.000 (0.008) Loss 3.7529 (3.5418) Prec@1 21.094 (26.593) Prec@5 45.703 (51.073)
Epoch: [4][650/5005] Time 0.446 (0.470) Data 0.000 (0.008) Loss 3.6131 (3.5429) Prec@1 26.562 (26.582) Prec@5 50.391 (51.056)
Epoch: [4][660/5005] Time 0.470 (0.470) Data 0.000 (0.008) Loss 3.5276 (3.5419) Prec@1 26.562 (26.596) Prec@5 49.609 (51.064)
Epoch: [4][670/5005] Time 0.471 (0.469) Data 0.000 (0.008) Loss 3.7127 (3.5430) Prec@1 23.047 (26.580) Prec@5 47.266 (51.047)
Epoch: [4][680/5005] Time 0.458 (0.469) Data 0.000 (0.008) Loss 3.5263 (3.5428) Prec@1 27.344 (26.587) Prec@5 53.906 (51.057)
Epoch: [4][690/5005] Time 0.472 (0.469) Data 0.000 (0.008) Loss 3.3917 (3.5435) Prec@1 26.562 (26.564) Prec@5 56.250 (51.044)
Epoch: [4][700/5005] Time 0.469 (0.469) Data 0.000 (0.007) Loss 3.4913 (3.5442) Prec@1 27.344 (26.551) Prec@5 48.047 (51.030)
Epoch: [4][710/5005] Time 0.476 (0.469) Data 0.000 (0.007) Loss 3.7840 (3.5431) Prec@1 21.875 (26.565) Prec@5 43.359 (51.063)
Epoch: [4][720/5005] Time 0.456 (0.469) Data 0.000 (0.007) Loss 3.4797 (3.5427) Prec@1 24.609 (26.566) Prec@5 52.734 (51.092)
Epoch: [4][730/5005] Time 0.470 (0.469) Data 0.000 (0.007) Loss 3.4258 (3.5426) Prec@1 29.688 (26.566) Prec@5 53.906 (51.100)
Epoch: [4][740/5005] Time 0.472 (0.469) Data 0.000 (0.007) Loss 3.3112 (3.5429) Prec@1 22.266 (26.547) Prec@5 50.781 (51.081)
Epoch: [4][750/5005] Time 0.455 (0.469) Data 0.000 (0.007) Loss 3.7018 (3.5425) Prec@1 26.172 (26.553) Prec@5 49.609 (51.096)
Epoch: [4][760/5005] Time 0.469 (0.469) Data 0.000 (0.007) Loss 3.5523 (3.5418) Prec@1 31.250 (26.566) Prec@5 53.125 (51.100)
Epoch: [4][770/5005] Time 0.468 (0.469) Data 0.000 (0.007) Loss 3.4751 (3.5412) Prec@1 30.078 (26.576) Prec@5 50.781 (51.120)
Epoch: [4][780/5005] Time 0.458 (0.469) Data 0.000 (0.007) Loss 3.3329 (3.5409) Prec@1 28.906 (26.570) Prec@5 57.422 (51.127)
Epoch: [4][790/5005] Time 0.474 (0.468) Data 0.000 (0.007) Loss 3.2291 (3.5408) Prec@1 31.250 (26.574) Prec@5 55.469 (51.135)
Epoch: [4][800/5005] Time 0.468 (0.468) Data 0.000 (0.007) Loss 3.5961 (3.5400) Prec@1 24.609 (26.585) Prec@5 53.516 (51.149)
Epoch: [4][810/5005] Time 0.462 (0.468) Data 0.000 (0.006) Loss 3.5060 (3.5397) Prec@1 28.906 (26.598) Prec@5 51.953 (51.158)
Epoch: [4][820/5005] Time 0.461 (0.468) Data 0.000 (0.006) Loss 3.3804 (3.5398) Prec@1 27.734 (26.592) Prec@5 53.516 (51.160)
Epoch: [4][830/5005] Time 0.469 (0.468) Data 0.000 (0.006) Loss 3.5474 (3.5388) Prec@1 23.047 (26.610) Prec@5 52.734 (51.177)
Epoch: [4][840/5005] Time 0.465 (0.468) Data 0.000 (0.006) Loss 3.5775 (3.5389) Prec@1 24.219 (26.613) Prec@5 52.344 (51.172)
Epoch: [4][850/5005] Time 0.458 (0.468) Data 0.000 (0.006) Loss 3.5527 (3.5390) Prec@1 25.391 (26.624) Prec@5 50.000 (51.164)
Epoch: [4][860/5005] Time 0.469 (0.468) Data 0.000 (0.006) Loss 3.6662 (3.5386) Prec@1 23.047 (26.625) Prec@5 47.266 (51.168)
Epoch: [4][870/5005] Time 0.465 (0.468) Data 0.000 (0.006) Loss 3.2151 (3.5372) Prec@1 29.297 (26.629) Prec@5 56.641 (51.187)
Epoch: [4][880/5005] Time 0.457 (0.468) Data 0.000 (0.006) Loss 3.4179 (3.5366) Prec@1 29.297 (26.638) Prec@5 51.562 (51.202)
Epoch: [4][890/5005] Time 0.465 (0.468) Data 0.000 (0.006) Loss 3.5366 (3.5359) Prec@1 26.172 (26.659) Prec@5 52.734 (51.221)
Epoch: [4][900/5005] Time 0.471 (0.468) Data 0.000 (0.006) Loss 3.6969 (3.5351) Prec@1 25.391 (26.680) Prec@5 49.609 (51.238)
Epoch: [4][910/5005] Time 0.446 (0.468) Data 0.000 (0.006) Loss 3.7051 (3.5352) Prec@1 26.953 (26.690) Prec@5 47.656 (51.237)
Epoch: [4][920/5005] Time 0.462 (0.468) Data 0.000 (0.006) Loss 3.4341 (3.5357) Prec@1 25.391 (26.688) Prec@5 55.859 (51.241)
Epoch: [4][930/5005] Time 0.468 (0.468) Data 0.000 (0.006) Loss 3.4594 (3.5356) Prec@1 25.781 (26.694) Prec@5 55.078 (51.248)
Epoch: [4][940/5005] Time 0.468 (0.468) Data 0.000 (0.006) Loss 3.7526 (3.5356) Prec@1 22.266 (26.687) Prec@5 45.312 (51.258)
Epoch: [4][950/5005] Time 0.476 (0.468) Data 0.000 (0.006) Loss 3.7137 (3.5354) Prec@1 26.953 (26.684) Prec@5 49.609 (51.251)
Epoch: [4][960/5005] Time 0.465 (0.468) Data 0.000 (0.006) Loss 3.2538 (3.5343) Prec@1 26.953 (26.697) Prec@5 56.641 (51.272)
Epoch: [4][970/5005] Time 0.455 (0.468) Data 0.000 (0.005) Loss 3.5027 (3.5338) Prec@1 28.125 (26.705) Prec@5 49.609 (51.280)
Epoch: [4][980/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 3.5089 (3.5332) Prec@1 27.734 (26.719) Prec@5 49.219 (51.286)
Epoch: [4][990/5005] Time 0.475 (0.468) Data 0.000 (0.005) Loss 3.6693 (3.5331) Prec@1 24.609 (26.718) Prec@5 50.391 (51.287)
Epoch: [4][1000/5005] Time 0.469 (0.468) Data 0.000 (0.005) Loss 3.6781 (3.5336) Prec@1 25.000 (26.712) Prec@5 52.344 (51.285)
Epoch: [4][1010/5005] Time 0.465 (0.467) Data 0.000 (0.005) Loss 3.2928 (3.5329) Prec@1 30.078 (26.726) Prec@5 55.469 (51.302)
Epoch: [4][1020/5005] Time 0.475 (0.467) Data 0.000 (0.005) Loss 3.3594 (3.5329) Prec@1 26.953 (26.730) Prec@5 53.906 (51.305)
Epoch: [4][1030/5005] Time 0.477 (0.467) Data 0.000 (0.005) Loss 3.5101 (3.5326) Prec@1 29.688 (26.741) Prec@5 53.906 (51.316)
Epoch: [4][1040/5005] Time 0.464 (0.467) Data 0.000 (0.005) Loss 3.5688 (3.5321) Prec@1 29.297 (26.744) Prec@5 54.688 (51.328)
Epoch: [4][1050/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 3.3425 (3.5312) Prec@1 28.125 (26.761) Prec@5 53.516 (51.341)
Epoch: [4][1060/5005] Time 0.502 (0.468) Data 0.000 (0.005) Loss 3.5931 (3.5312) Prec@1 27.344 (26.765) Prec@5 49.609 (51.347)
Epoch: [4][1070/5005] Time 0.482 (0.468) Data 0.000 (0.005) Loss 3.3057 (3.5311) Prec@1 34.375 (26.773) Prec@5 58.594 (51.356)
Epoch: [4][1080/5005] Time 0.479 (0.468) Data 0.000 (0.005) Loss 3.6525 (3.5303) Prec@1 26.953 (26.796) Prec@5 50.391 (51.372)
Epoch: [4][1090/5005] Time 0.470 (0.468) Data 0.000 (0.005) Loss 3.2232 (3.5298) Prec@1 33.594 (26.807) Prec@5 57.031 (51.380)
Epoch: [4][1100/5005] Time 0.470 (0.468) Data 0.000 (0.005) Loss 3.8066 (3.5290) Prec@1 24.609 (26.822) Prec@5 44.922 (51.391)
Epoch: [4][1110/5005] Time 0.457 (0.468) Data 0.000 (0.005) Loss 3.3594 (3.5281) Prec@1 30.859 (26.839) Prec@5 53.906 (51.412)
Epoch: [4][1120/5005] Time 0.433 (0.468) Data 0.000 (0.005) Loss 3.2174 (3.5276) Prec@1 35.156 (26.858) Prec@5 57.422 (51.420)
Epoch: [4][1130/5005] Time 0.479 (0.468) Data 0.000 (0.005) Loss 3.5019 (3.5271) Prec@1 26.172 (26.867) Prec@5 48.828 (51.420)
Epoch: [4][1140/5005] Time 0.455 (0.468) Data 0.000 (0.005) Loss 3.4773 (3.5271) Prec@1 28.125 (26.875) Prec@5 50.000 (51.416)
Epoch: [4][1150/5005] Time 0.463 (0.468) Data 0.000 (0.005) Loss 3.6725 (3.5272) Prec@1 22.656 (26.875) Prec@5 48.438 (51.419)
Epoch: [4][1160/5005] Time 0.465 (0.468) Data 0.000 (0.005) Loss 3.5393 (3.5266) Prec@1 32.812 (26.894) Prec@5 53.906 (51.439)
Epoch: [4][1170/5005] Time 0.463 (0.468) Data 0.000 (0.005) Loss 3.5258 (3.5261) Prec@1 29.688 (26.899) Prec@5 51.953 (51.450)
Epoch: [4][1180/5005] Time 0.476 (0.468) Data 0.000 (0.005) Loss 3.3692 (3.5260) Prec@1 25.000 (26.894) Prec@5 50.391 (51.455)
Epoch: [4][1190/5005] Time 0.456 (0.468) Data 0.000 (0.005) Loss 3.7458 (3.5258) Prec@1 21.094 (26.907) Prec@5 46.484 (51.449)
Epoch: [4][1200/5005] Time 0.475 (0.468) Data 0.000 (0.005) Loss 3.6222 (3.5255) Prec@1 30.078 (26.916) Prec@5 52.344 (51.447)
Epoch: [4][1210/5005] Time 0.469 (0.468) Data 0.000 (0.004) Loss 3.4395 (3.5254) Prec@1 25.781 (26.914) Prec@5 51.562 (51.444)
Epoch: [4][1220/5005] Time 0.471 (0.468) Data 0.000 (0.004) Loss 3.4613 (3.5255) Prec@1 31.641 (26.915) Prec@5 50.781 (51.442)
Epoch: [4][1230/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 3.5313 (3.5252) Prec@1 28.516 (26.919) Prec@5 54.297 (51.450)
Epoch: [4][1240/5005] Time 0.477 (0.467) Data 0.000 (0.004) Loss 3.5847 (3.5250) Prec@1 23.047 (26.904) Prec@5 51.953 (51.459)
Epoch: [4][1250/5005] Time 0.462 (0.467) Data 0.000 (0.004) Loss 3.3149 (3.5250) Prec@1 30.859 (26.914) Prec@5 54.297 (51.459)
Epoch: [4][1260/5005] Time 0.475 (0.467) Data 0.000 (0.004) Loss 3.5156 (3.5245) Prec@1 26.172 (26.920) Prec@5 51.172 (51.474)
Epoch: [4][1270/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 3.3854 (3.5243) Prec@1 33.594 (26.930) Prec@5 56.641 (51.488)
Epoch: [4][1280/5005] Time 0.467 (0.467) Data 0.000 (0.004) Loss 3.5859 (3.5240) Prec@1 25.000 (26.939) Prec@5 50.391 (51.494)
Epoch: [4][1290/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 3.3003 (3.5243) Prec@1 31.250 (26.932) Prec@5 55.469 (51.487)
Epoch: [4][1300/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 3.4960 (3.5238) Prec@1 25.000 (26.938) Prec@5 49.609 (51.493)
Epoch: [4][1310/5005] Time 0.479 (0.467) Data 0.000 (0.004) Loss 3.4589 (3.5244) Prec@1 28.906 (26.928) Prec@5 56.250 (51.482)
Epoch: [4][1320/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 3.5001 (3.5240) Prec@1 26.953 (26.936) Prec@5 50.781 (51.489)
Epoch: [4][1330/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 3.6218 (3.5234) Prec@1 25.391 (26.947) Prec@5 49.609 (51.499)
Epoch: [4][1340/5005] Time 0.460 (0.467) Data 0.000 (0.004) Loss 3.4224 (3.5229) Prec@1 25.781 (26.954) Prec@5 51.953 (51.509)
Epoch: [4][1350/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 3.5152 (3.5223) Prec@1 27.734 (26.955) Prec@5 49.609 (51.514)
Epoch: [4][1360/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 3.4596 (3.5221) Prec@1 26.562 (26.959) Prec@5 49.609 (51.510)
Epoch: [4][1370/5005] Time 0.472 (0.467) Data 0.000 (0.004) Loss 3.5512 (3.5224) Prec@1 25.781 (26.956) Prec@5 53.516 (51.520)
Epoch: [4][1380/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 3.4749 (3.5221) Prec@1 28.125 (26.966) Prec@5 51.172 (51.516)
Epoch: [4][1390/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 3.4022 (3.5217) Prec@1 28.516 (26.975) Prec@5 52.344 (51.525)
Epoch: [4][1400/5005] Time 0.478 (0.467) Data 0.000 (0.004) Loss 3.4742 (3.5214) Prec@1 25.391 (26.975) Prec@5 55.469 (51.535)
Epoch: [4][1410/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 3.3723 (3.5207) Prec@1 29.297 (26.984) Prec@5 55.469 (51.552)
Epoch: [4][1420/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 3.6518 (3.5204) Prec@1 26.172 (26.994) Prec@5 50.391 (51.562)
Epoch: [4][1430/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 3.5648 (3.5200) Prec@1 28.906 (27.003) Prec@5 51.172 (51.567)
Epoch: [4][1440/5005] Time 0.466 (0.467) Data 0.000 (0.004) Loss 3.6866 (3.5206) Prec@1 25.781 (26.992) Prec@5 50.781 (51.553)
Epoch: [4][1450/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 3.5542 (3.5208) Prec@1 25.781 (26.988) Prec@5 51.953 (51.547)
Epoch: [4][1460/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 3.6240 (3.5208) Prec@1 27.734 (26.999) Prec@5 48.047 (51.547)
Epoch: [4][1470/5005] Time 0.463 (0.467) Data 0.000 (0.004) Loss 3.5282 (3.5203) Prec@1 25.781 (27.008) Prec@5 53.516 (51.556)
Epoch: [4][1480/5005] Time 0.464 (0.467) Data 0.000 (0.004) Loss 3.3278 (3.5198) Prec@1 32.031 (27.021) Prec@5 58.203 (51.568)
Epoch: [4][1490/5005] Time 0.467 (0.467) Data 0.000 (0.004) Loss 3.7907 (3.5190) Prec@1 26.172 (27.037) Prec@5 47.266 (51.590)
Epoch: [4][1500/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 3.4763 (3.5186) Prec@1 28.125 (27.042) Prec@5 53.516 (51.593)
Epoch: [4][1510/5005] Time 0.478 (0.467) Data 0.000 (0.004) Loss 3.6307 (3.5183) Prec@1 26.562 (27.049) Prec@5 48.828 (51.594)
Epoch: [4][1520/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 3.1436 (3.5177) Prec@1 28.516 (27.050) Prec@5 61.328 (51.606)
Epoch: [4][1530/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 3.4423 (3.5176) Prec@1 25.781 (27.053) Prec@5 50.781 (51.606)
Epoch: [4][1540/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 3.6011 (3.5179) Prec@1 24.219 (27.051) Prec@5 51.953 (51.602)
Epoch: [4][1550/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 3.4611 (3.5176) Prec@1 27.344 (27.050) Prec@5 51.953 (51.609)
Epoch: [4][1560/5005] Time 0.480 (0.467) Data 0.000 (0.004) Loss 3.5588 (3.5174) Prec@1 26.953 (27.049) Prec@5 51.172 (51.620)
Epoch: [4][1570/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 3.4442 (3.5166) Prec@1 31.641 (27.064) Prec@5 52.734 (51.633)
Epoch: [4][1580/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 3.4880 (3.5163) Prec@1 28.125 (27.068) Prec@5 50.000 (51.634)
Epoch: [4][1590/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 3.2776 (3.5159) Prec@1 30.469 (27.077) Prec@5 57.422 (51.649)
Epoch: [4][1600/5005] Time 0.450 (0.467) Data 0.000 (0.003) Loss 3.6418 (3.5160) Prec@1 28.516 (27.078) Prec@5 50.781 (51.653)
Epoch: [4][1610/5005] Time 0.468 (0.467) Data 0.000 (0.003) Loss 3.4248 (3.5156) Prec@1 30.078 (27.088) Prec@5 52.734 (51.662)
Epoch: [4][1620/5005] Time 0.466 (0.467) Data 0.000 (0.003) Loss 3.2832 (3.5154) Prec@1 30.469 (27.090) Prec@5 51.953 (51.666)
Epoch: [4][1630/5005] Time 0.456 (0.467) Data 0.000 (0.003) Loss 3.4494 (3.5155) Prec@1 27.734 (27.086) Prec@5 53.516 (51.666)
Epoch: [4][1640/5005] Time 0.477 (0.467) Data 0.000 (0.003) Loss 3.5145 (3.5153) Prec@1 29.688 (27.090) Prec@5 49.609 (51.671)
Epoch: [4][1650/5005] Time 0.453 (0.467) Data 0.000 (0.003) Loss 3.4268 (3.5150) Prec@1 28.516 (27.091) Prec@5 53.125 (51.678)
Epoch: [4][1660/5005] Time 0.452 (0.467) Data 0.000 (0.003) Loss 3.5954 (3.5153) Prec@1 31.641 (27.093) Prec@5 53.125 (51.677)
Epoch: [4][1670/5005] Time 0.456 (0.467) Data 0.000 (0.003) Loss 3.4543 (3.5152) Prec@1 28.906 (27.095) Prec@5 49.609 (51.681)
Epoch: [4][1680/5005] Time 0.467 (0.467) Data 0.000 (0.003) Loss 3.4249 (3.5150) Prec@1 29.297 (27.101) Prec@5 51.953 (51.686)
Epoch: [4][1690/5005] Time 0.457 (0.467) Data 0.000 (0.003) Loss 3.5517 (3.5147) Prec@1 27.734 (27.112) Prec@5 50.391 (51.691)
Epoch: [4][1700/5005] Time 0.477 (0.467) Data 0.000 (0.003) Loss 3.5792 (3.5148) Prec@1 22.656 (27.117) Prec@5 48.047 (51.689)
Epoch: [4][1710/5005] Time 0.480 (0.467) Data 0.000 (0.003) Loss 3.4976 (3.5140) Prec@1 23.828 (27.122) Prec@5 50.781 (51.697)
Epoch: [4][1720/5005] Time 0.465 (0.467) Data 0.000 (0.003) Loss 3.3337 (3.5136) Prec@1 30.469 (27.133) Prec@5 54.688 (51.710)
Epoch: [4][1730/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 3.4307 (3.5128) Prec@1 29.297 (27.138) Prec@5 53.125 (51.723)
Epoch: [4][1740/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 3.4268 (3.5123) Prec@1 28.906 (27.147) Prec@5 54.297 (51.726)
Epoch: [4][1750/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 3.1945 (3.5117) Prec@1 35.156 (27.156) Prec@5 57.031 (51.735)
Epoch: [4][1760/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 3.6757 (3.5116) Prec@1 25.000 (27.157) Prec@5 48.828 (51.737)
Epoch: [4][1770/5005] Time 0.479 (0.466) Data 0.000 (0.003) Loss 3.4781 (3.5109) Prec@1 28.125 (27.165) Prec@5 51.562 (51.752)
Epoch: [4][1780/5005] Time 0.464 (0.466) Data 0.001 (0.003) Loss 3.3973 (3.5109) Prec@1 24.609 (27.163) Prec@5 51.953 (51.754)
Epoch: [4][1790/5005] Time 0.480 (0.466) Data 0.000 (0.003) Loss 3.5689 (3.5104) Prec@1 24.219 (27.169) Prec@5 47.656 (51.765)
Epoch: [4][1800/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 3.4072 (3.5104) Prec@1 30.859 (27.170) Prec@5 54.688 (51.763)
Epoch: [4][1810/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 3.4635 (3.5101) Prec@1 26.953 (27.171) Prec@5 51.172 (51.770)
Epoch: [4][1820/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 3.6668 (3.5093) Prec@1 27.344 (27.179) Prec@5 51.562 (51.782)
Epoch: [4][1830/5005] Time 0.464 (0.466) Data 0.000 (0.003) Loss 3.4497 (3.5092) Prec@1 29.688 (27.183) Prec@5 50.781 (51.781)
Epoch: [4][1840/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 3.4109 (3.5089) Prec@1 30.859 (27.187) Prec@5 52.734 (51.789)
Epoch: [4][1850/5005] Time 0.460 (0.466) Data 0.000 (0.003) Loss 3.3044 (3.5081) Prec@1 27.734 (27.198) Prec@5 55.859 (51.809)
Epoch: [4][1860/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 3.4772 (3.5080) Prec@1 24.609 (27.197) Prec@5 51.562 (51.810)
Epoch: [4][1870/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 3.1696 (3.5074) Prec@1 30.859 (27.208) Prec@5 54.297 (51.824)
Epoch: [4][1880/5005] Time 0.461 (0.466) Data 0.000 (0.003) Loss 3.7359 (3.5077) Prec@1 27.344 (27.210) Prec@5 51.953 (51.824)
Epoch: [4][1890/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 3.4094 (3.5077) Prec@1 26.953 (27.207) Prec@5 53.906 (51.826)
Epoch: [4][1900/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 3.7344 (3.5080) Prec@1 27.344 (27.196) Prec@5 46.875 (51.822)
Epoch: [4][1910/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 3.6849 (3.5079) Prec@1 26.953 (27.198) Prec@5 48.438 (51.829)
Epoch: [4][1920/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 3.0349 (3.5072) Prec@1 31.641 (27.204) Prec@5 62.109 (51.846)
Epoch: [4][1930/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 3.4975 (3.5068) Prec@1 24.609 (27.207) Prec@5 53.516 (51.848)
Epoch: [4][1940/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 3.5728 (3.5067) Prec@1 26.172 (27.213) Prec@5 55.469 (51.854)
Epoch: [4][1950/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 3.2787 (3.5061) Prec@1 30.469 (27.225) Prec@5 59.375 (51.860)
Epoch: [4][1960/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 3.6960 (3.5060) Prec@1 20.703 (27.221) Prec@5 48.047 (51.862)
Epoch: [4][1970/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 3.6354 (3.5058) Prec@1 26.172 (27.218) Prec@5 50.000 (51.868)
Epoch: [4][1980/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 3.6378 (3.5058) Prec@1 24.609 (27.223) Prec@5 52.734 (51.869)
Epoch: [4][1990/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 3.1157 (3.5056) Prec@1 34.766 (27.226) Prec@5 57.422 (51.876)
Epoch: [4][2000/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 3.5697 (3.5058) Prec@1 26.953 (27.222) Prec@5 50.000 (51.875)
Epoch: [4][2010/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 3.4113 (3.5058) Prec@1 27.734 (27.230) Prec@5 53.516 (51.876)
Epoch: [4][2020/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 3.6151 (3.5057) Prec@1 27.734 (27.231) Prec@5 50.000 (51.881)
Epoch: [4][2030/5005] Time 0.461 (0.466) Data 0.000 (0.003) Loss 3.5459 (3.5059) Prec@1 24.609 (27.230) Prec@5 49.219 (51.877)
Epoch: [4][2040/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.4959 (3.5054) Prec@1 30.469 (27.240) Prec@5 51.172 (51.889)
Epoch: [4][2050/5005] Time 0.464 (0.465) Data 0.000 (0.003) Loss 3.4380 (3.5049) Prec@1 27.344 (27.239) Prec@5 55.078 (51.902)
Epoch: [4][2060/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 3.4830 (3.5044) Prec@1 27.344 (27.240) Prec@5 53.906 (51.910)
Epoch: [4][2070/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 3.2638 (3.5041) Prec@1 26.562 (27.241) Prec@5 56.641 (51.917)
Epoch: [4][2080/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 3.5809 (3.5043) Prec@1 28.125 (27.234) Prec@5 50.781 (51.915)
Epoch: [4][2090/5005] Time 0.465 (0.465) Data 0.000 (0.003) Loss 3.4720 (3.5040) Prec@1 27.734 (27.234) Prec@5 50.781 (51.915)
Epoch: [4][2100/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.4211 (3.5037) Prec@1 30.469 (27.242) Prec@5 56.641 (51.921)
Epoch: [4][2110/5005] Time 0.455 (0.465) Data 0.000 (0.003) Loss 3.5480 (3.5035) Prec@1 23.828 (27.244) Prec@5 51.172 (51.923)
Epoch: [4][2120/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 3.5648 (3.5032) Prec@1 25.781 (27.250) Prec@5 47.266 (51.928)
Epoch: [4][2130/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 3.4411 (3.5030) Prec@1 29.297 (27.258) Prec@5 52.344 (51.938)
Epoch: [4][2140/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.4538 (3.5031) Prec@1 28.125 (27.258) Prec@5 52.734 (51.928)
Epoch: [4][2150/5005] Time 0.458 (0.465) Data 0.001 (0.003) Loss 3.6007 (3.5026) Prec@1 23.828 (27.264) Prec@5 51.953 (51.940)
Epoch: [4][2160/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 3.4448 (3.5024) Prec@1 31.250 (27.269) Prec@5 51.172 (51.950)
Epoch: [4][2170/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 3.7065 (3.5021) Prec@1 25.391 (27.279) Prec@5 51.172 (51.960)
Epoch: [4][2180/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 3.6109 (3.5020) Prec@1 28.125 (27.278) Prec@5 50.391 (51.962)
Epoch: [4][2190/5005] Time 0.464 (0.465) Data 0.000 (0.003) Loss 3.4763 (3.5019) Prec@1 25.781 (27.276) Prec@5 55.078 (51.966)
Epoch: [4][2200/5005] Time 0.452 (0.465) Data 0.000 (0.003) Loss 3.5884 (3.5021) Prec@1 25.000 (27.274) Prec@5 53.125 (51.964)
Epoch: [4][2210/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.5162 (3.5019) Prec@1 24.609 (27.274) Prec@5 52.344 (51.972)
Epoch: [4][2220/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.6203 (3.5018) Prec@1 26.562 (27.279) Prec@5 51.953 (51.978)
Epoch: [4][2230/5005] Time 0.467 (0.465) Data 0.000 (0.003) Loss 3.2852 (3.5012) Prec@1 31.250 (27.290) Prec@5 55.859 (51.989)
Epoch: [4][2240/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.5486 (3.5008) Prec@1 25.781 (27.297) Prec@5 50.781 (51.995)
Epoch: [4][2250/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 3.5735 (3.5007) Prec@1 25.781 (27.297) Prec@5 49.219 (51.997)
Epoch: [4][2260/5005] Time 0.449 (0.465) Data 0.000 (0.003) Loss 3.5453 (3.5009) Prec@1 28.516 (27.296) Prec@5 53.906 (51.994)
Epoch: [4][2270/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 3.3273 (3.5004) Prec@1 30.469 (27.304) Prec@5 57.422 (52.006)
Epoch: [4][2280/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 3.3648 (3.4998) Prec@1 29.297 (27.313) Prec@5 55.078 (52.014)
Epoch: [4][2290/5005] Time 0.466 (0.465) Data 0.000 (0.003) Loss 3.4378 (3.4996) Prec@1 28.516 (27.312) Prec@5 52.344 (52.016)
Epoch: [4][2300/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 3.5343 (3.4996) Prec@1 27.734 (27.315) Prec@5 54.297 (52.021)
Epoch: [4][2310/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.2564 (3.4997) Prec@1 28.125 (27.304) Prec@5 56.641 (52.019)
Epoch: [4][2320/5005] Time 0.463 (0.465) Data 0.000 (0.003) Loss 3.4604 (3.4999) Prec@1 30.078 (27.301) Prec@5 53.516 (52.019)
Epoch: [4][2330/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.3474 (3.4996) Prec@1 31.250 (27.303) Prec@5 55.078 (52.023)
Epoch: [4][2340/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 3.3940 (3.4991) Prec@1 28.125 (27.311) Prec@5 54.688 (52.031)
Epoch: [4][2350/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 3.3963 (3.4990) Prec@1 33.594 (27.317) Prec@5 55.859 (52.037)
Epoch: [4][2360/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.3101 (3.4984) Prec@1 26.953 (27.323) Prec@5 57.812 (52.048)
Epoch: [4][2370/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.5063 (3.4979) Prec@1 25.781 (27.330) Prec@5 53.906 (52.058)
Epoch: [4][2380/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 3.4005 (3.4976) Prec@1 32.031 (27.338) Prec@5 53.906 (52.065)
Epoch: [4][2390/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 3.5874 (3.4974) Prec@1 23.047 (27.342) Prec@5 52.344 (52.069)
Epoch: [4][2400/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 3.5620 (3.4972) Prec@1 26.172 (27.347) Prec@5 50.391 (52.075)
Epoch: [4][2410/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.4126 (3.4966) Prec@1 27.734 (27.354) Prec@5 55.859 (52.088)
Epoch: [4][2420/5005] Time 0.465 (0.464) Data 0.000 (0.002) Loss 3.3099 (3.4963) Prec@1 32.812 (27.353) Prec@5 55.859 (52.095)
Epoch: [4][2430/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.2890 (3.4961) Prec@1 26.953 (27.355) Prec@5 55.469 (52.100)
Epoch: [4][2440/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.6126 (3.4959) Prec@1 26.953 (27.357) Prec@5 50.000 (52.101)
Epoch: [4][2450/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.2660 (3.4958) Prec@1 31.250 (27.361) Prec@5 55.469 (52.104)
Epoch: [4][2460/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.3753 (3.4955) Prec@1 30.859 (27.365) Prec@5 57.422 (52.108)
Epoch: [4][2470/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.3294 (3.4954) Prec@1 28.516 (27.366) Prec@5 56.641 (52.110)
Epoch: [4][2480/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 3.5026 (3.4954) Prec@1 30.078 (27.365) Prec@5 50.391 (52.112)
Epoch: [4][2490/5005] Time 0.460 (0.464) Data 0.001 (0.002) Loss 3.4742 (3.4952) Prec@1 26.172 (27.364) Prec@5 53.906 (52.116)
Epoch: [4][2500/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.5138 (3.4947) Prec@1 23.828 (27.370) Prec@5 50.781 (52.129)
Epoch: [4][2510/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.4994 (3.4948) Prec@1 24.219 (27.368) Prec@5 50.000 (52.128)
Epoch: [4][2520/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.4614 (3.4946) Prec@1 28.516 (27.371) Prec@5 53.906 (52.130)
Epoch: [4][2530/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 3.4579 (3.4944) Prec@1 27.734 (27.373) Prec@5 51.562 (52.130)
Epoch: [4][2540/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.6142 (3.4942) Prec@1 24.609 (27.379) Prec@5 50.781 (52.132)
Epoch: [4][2550/5005] Time 0.467 (0.464) Data 0.000 (0.002) Loss 3.2198 (3.4939) Prec@1 33.203 (27.388) Prec@5 57.031 (52.138)
Epoch: [4][2560/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.3968 (3.4936) Prec@1 32.031 (27.394) Prec@5 55.078 (52.147)
Epoch: [4][2570/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.4762 (3.4933) Prec@1 26.562 (27.401) Prec@5 51.953 (52.153)
Epoch: [4][2580/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.3557 (3.4932) Prec@1 28.906 (27.404) Prec@5 58.203 (52.160)
Epoch: [4][2590/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.4603 (3.4930) Prec@1 25.391 (27.406) Prec@5 57.031 (52.165)
Epoch: [4][2600/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.6275 (3.4929) Prec@1 25.000 (27.405) Prec@5 50.781 (52.167)
Epoch: [4][2610/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.2946 (3.4924) Prec@1 31.641 (27.414) Prec@5 53.125 (52.175)
Epoch: [4][2620/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.4101 (3.4922) Prec@1 26.562 (27.410) Prec@5 53.516 (52.179)
Epoch: [4][2630/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.4379 (3.4918) Prec@1 28.516 (27.415) Prec@5 53.125 (52.183)
Epoch: [4][2640/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.4059 (3.4918) Prec@1 30.859 (27.419) Prec@5 51.172 (52.183)
Epoch: [4][2650/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.4060 (3.4917) Prec@1 29.688 (27.422) Prec@5 55.469 (52.185)
Epoch: [4][2660/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.2676 (3.4912) Prec@1 28.906 (27.431) Prec@5 55.469 (52.193)
Epoch: [4][2670/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.3906 (3.4911) Prec@1 30.859 (27.437) Prec@5 51.953 (52.194)
Epoch: [4][2680/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.3664 (3.4909) Prec@1 28.516 (27.439) Prec@5 52.344 (52.195)
Epoch: [4][2690/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.3849 (3.4905) Prec@1 28.906 (27.446) Prec@5 55.078 (52.202)
Epoch: [4][2700/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.3967 (3.4903) Prec@1 29.297 (27.447) Prec@5 51.953 (52.204)
Epoch: [4][2710/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.6443 (3.4903) Prec@1 25.000 (27.444) Prec@5 46.484 (52.205)
Epoch: [4][2720/5005] Time 0.453 (0.464) Data 0.000 (0.002) Loss 3.6777 (3.4899) Prec@1 25.781 (27.454) Prec@5 46.484 (52.211)
Epoch: [4][2730/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.5676 (3.4898) Prec@1 26.562 (27.452) Prec@5 51.562 (52.213)
Epoch: [4][2740/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.5652 (3.4896) Prec@1 29.297 (27.460) Prec@5 51.953 (52.213)
Epoch: [4][2750/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.6218 (3.4891) Prec@1 23.047 (27.467) Prec@5 50.391 (52.224)
Epoch: [4][2760/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 3.2774 (3.4888) Prec@1 28.906 (27.473) Prec@5 55.078 (52.228)
Epoch: [4][2770/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.4769 (3.4885) Prec@1 28.125 (27.477) Prec@5 50.391 (52.231)
Epoch: [4][2780/5005] Time 0.467 (0.464) Data 0.000 (0.002) Loss 3.3394 (3.4882) Prec@1 28.516 (27.482) Prec@5 55.078 (52.239)
Epoch: [4][2790/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.5358 (3.4880) Prec@1 23.828 (27.484) Prec@5 51.953 (52.244)
Epoch: [4][2800/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.4371 (3.4879) Prec@1 29.688 (27.487) Prec@5 52.344 (52.248)
Epoch: [4][2810/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 3.4789 (3.4875) Prec@1 26.562 (27.494) Prec@5 53.516 (52.260)
Epoch: [4][2820/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.4326 (3.4873) Prec@1 25.391 (27.499) Prec@5 54.688 (52.263)
Epoch: [4][2830/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 3.4292 (3.4867) Prec@1 27.734 (27.505) Prec@5 56.250 (52.273)
Epoch: [4][2840/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.4632 (3.4864) Prec@1 30.469 (27.513) Prec@5 51.953 (52.279)
Epoch: [4][2850/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.6526 (3.4862) Prec@1 25.000 (27.519) Prec@5 50.391 (52.286)
Epoch: [4][2860/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.4396 (3.4861) Prec@1 27.734 (27.524) Prec@5 51.172 (52.288)
Epoch: [4][2870/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 3.5829 (3.4858) Prec@1 28.516 (27.530) Prec@5 50.000 (52.292)
Epoch: [4][2880/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.4392 (3.4857) Prec@1 28.906 (27.533) Prec@5 51.562 (52.292)
Epoch: [4][2890/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 3.3939 (3.4855) Prec@1 30.859 (27.537) Prec@5 55.469 (52.293)
Epoch: [4][2900/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.4461 (3.4853) Prec@1 30.859 (27.542) Prec@5 52.734 (52.299)
Epoch: [4][2910/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.4268 (3.4850) Prec@1 28.906 (27.544) Prec@5 55.078 (52.306)
Epoch: [4][2920/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.8790 (3.4848) Prec@1 23.047 (27.542) Prec@5 46.094 (52.311)
Epoch: [4][2930/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 3.5046 (3.4845) Prec@1 25.000 (27.546) Prec@5 47.656 (52.315)
Epoch: [4][2940/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.4756 (3.4844) Prec@1 25.781 (27.546) Prec@5 53.125 (52.319)
Epoch: [4][2950/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.2946 (3.4839) Prec@1 30.859 (27.553) Prec@5 57.812 (52.330)
Epoch: [4][2960/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.2040 (3.4836) Prec@1 28.125 (27.558) Prec@5 54.297 (52.335)
Epoch: [4][2970/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.3932 (3.4832) Prec@1 25.391 (27.565) Prec@5 51.562 (52.341)
Epoch: [4][2980/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.2945 (3.4827) Prec@1 29.297 (27.575) Prec@5 55.078 (52.350)
Epoch: [4][2990/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.2880 (3.4824) Prec@1 30.859 (27.580) Prec@5 57.422 (52.357)
Epoch: [4][3000/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.0093 (3.4821) Prec@1 34.375 (27.586) Prec@5 60.938 (52.362)
Epoch: [4][3010/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.5268 (3.4819) Prec@1 26.953 (27.591) Prec@5 53.125 (52.365)
Epoch: [4][3020/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.3223 (3.4816) Prec@1 32.812 (27.597) Prec@5 58.594 (52.371)
Epoch: [4][3030/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.3695 (3.4810) Prec@1 31.641 (27.610) Prec@5 53.906 (52.382)
Epoch: [4][3040/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.4683 (3.4808) Prec@1 29.297 (27.610) Prec@5 54.688 (52.387)
Epoch: [4][3050/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.2670 (3.4806) Prec@1 30.078 (27.611) Prec@5 57.031 (52.389)
Epoch: [4][3060/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.2608 (3.4803) Prec@1 31.250 (27.614) Prec@5 56.641 (52.397)
Epoch: [4][3070/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 3.3059 (3.4801) Prec@1 25.781 (27.617) Prec@5 58.984 (52.402)
Epoch: [4][3080/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.4534 (3.4798) Prec@1 28.516 (27.617) Prec@5 53.906 (52.405)
Epoch: [4][3090/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 3.5402 (3.4797) Prec@1 28.125 (27.622) Prec@5 49.609 (52.409)
Epoch: [4][3100/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.2290 (3.4795) Prec@1 33.203 (27.628) Prec@5 57.812 (52.412)
Epoch: [4][3110/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.5087 (3.4792) Prec@1 25.000 (27.625) Prec@5 51.953 (52.417)
Epoch: [4][3120/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.3445 (3.4788) Prec@1 30.859 (27.630) Prec@5 57.031 (52.422)
Epoch: [4][3130/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.3580 (3.4784) Prec@1 28.906 (27.637) Prec@5 54.688 (52.426)
Epoch: [4][3140/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.2894 (3.4780) Prec@1 32.812 (27.646) Prec@5 55.078 (52.437)
Epoch: [4][3150/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.1120 (3.4775) Prec@1 37.891 (27.654) Prec@5 60.547 (52.444)
Epoch: [4][3160/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.4391 (3.4772) Prec@1 26.953 (27.661) Prec@5 51.172 (52.449)
Epoch: [4][3170/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.4405 (3.4770) Prec@1 27.344 (27.661) Prec@5 51.953 (52.452)
Epoch: [4][3180/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.3762 (3.4769) Prec@1 30.078 (27.669) Prec@5 53.125 (52.456)
Epoch: [4][3190/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 3.2102 (3.4766) Prec@1 33.594 (27.676) Prec@5 58.203 (52.462)
Epoch: [4][3200/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.4678 (3.4765) Prec@1 26.562 (27.678) Prec@5 49.219 (52.464)
Epoch: [4][3210/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.2932 (3.4763) Prec@1 25.000 (27.681) Prec@5 53.516 (52.467)
Epoch: [4][3220/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 3.3094 (3.4762) Prec@1 27.734 (27.682) Prec@5 55.469 (52.471)
Epoch: [4][3230/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.2057 (3.4758) Prec@1 28.516 (27.686) Prec@5 58.594 (52.476)
Epoch: [4][3240/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 3.0519 (3.4754) Prec@1 30.859 (27.693) Prec@5 60.547 (52.484)
Epoch: [4][3250/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.3653 (3.4753) Prec@1 31.641 (27.700) Prec@5 57.422 (52.490)
Epoch: [4][3260/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.6606 (3.4753) Prec@1 24.609 (27.700) Prec@5 47.266 (52.489)
Epoch: [4][3270/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.2414 (3.4749) Prec@1 29.297 (27.708) Prec@5 58.594 (52.498)
Epoch: [4][3280/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.2934 (3.4746) Prec@1 28.125 (27.710) Prec@5 58.203 (52.503)
Epoch: [4][3290/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.4241 (3.4742) Prec@1 29.688 (27.716) Prec@5 52.344 (52.511)
Epoch: [4][3300/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.3428 (3.4740) Prec@1 23.438 (27.714) Prec@5 55.078 (52.512)
Epoch: [4][3310/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.4763 (3.4739) Prec@1 31.641 (27.718) Prec@5 55.078 (52.518)
Epoch: [4][3320/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.2694 (3.4737) Prec@1 26.562 (27.716) Prec@5 51.953 (52.519)
Epoch: [4][3330/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.5643 (3.4736) Prec@1 24.609 (27.715) Prec@5 50.000 (52.521)
Epoch: [4][3340/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.3155 (3.4735) Prec@1 27.734 (27.716) Prec@5 57.422 (52.525)
Epoch: [4][3350/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.0713 (3.4732) Prec@1 33.594 (27.724) Prec@5 59.766 (52.531)
Epoch: [4][3360/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 3.3848 (3.4731) Prec@1 27.344 (27.729) Prec@5 48.828 (52.532)
Epoch: [4][3370/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.2990 (3.4726) Prec@1 30.078 (27.734) Prec@5 54.297 (52.541)
Epoch: [4][3380/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.3289 (3.4722) Prec@1 27.734 (27.737) Prec@5 54.297 (52.547)
Epoch: [4][3390/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.2326 (3.4719) Prec@1 32.812 (27.742) Prec@5 59.375 (52.553)
Epoch: [4][3400/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 3.3322 (3.4719) Prec@1 25.391 (27.744) Prec@5 55.859 (52.553)
Epoch: [4][3410/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.3244 (3.4716) Prec@1 29.688 (27.747) Prec@5 54.688 (52.557)
Epoch: [4][3420/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.1616 (3.4713) Prec@1 31.641 (27.750) Prec@5 58.984 (52.565)
Epoch: [4][3430/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.6588 (3.4711) Prec@1 26.953 (27.754) Prec@5 50.781 (52.569)
Epoch: [4][3440/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.3655 (3.4707) Prec@1 31.250 (27.760) Prec@5 56.250 (52.574)
Epoch: [4][3450/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.6012 (3.4705) Prec@1 28.906 (27.764) Prec@5 51.953 (52.577)
Epoch: [4][3460/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.6672 (3.4704) Prec@1 26.562 (27.767) Prec@5 48.438 (52.575)
Epoch: [4][3470/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.6066 (3.4702) Prec@1 24.609 (27.767) Prec@5 47.266 (52.579)
Epoch: [4][3480/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.4576 (3.4699) Prec@1 28.906 (27.772) Prec@5 54.688 (52.587)
Epoch: [4][3490/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.0541 (3.4696) Prec@1 31.250 (27.773) Prec@5 63.281 (52.593)
Epoch: [4][3500/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 3.3152 (3.4693) Prec@1 26.953 (27.778) Prec@5 55.859 (52.603)
Epoch: [4][3510/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.7041 (3.4691) Prec@1 27.734 (27.783) Prec@5 46.484 (52.609)
Epoch: [4][3520/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.5507 (3.4688) Prec@1 25.391 (27.786) Prec@5 50.000 (52.612)
Epoch: [4][3530/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.1651 (3.4683) Prec@1 26.953 (27.794) Prec@5 58.594 (52.621)
Epoch: [4][3540/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.4762 (3.4682) Prec@1 27.344 (27.798) Prec@5 54.297 (52.624)
Epoch: [4][3550/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.4812 (3.4680) Prec@1 30.859 (27.802) Prec@5 51.172 (52.626)
Epoch: [4][3560/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.2628 (3.4680) Prec@1 31.641 (27.803) Prec@5 58.203 (52.624)
Epoch: [4][3570/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.5221 (3.4678) Prec@1 26.953 (27.805) Prec@5 51.562 (52.628)
Epoch: [4][3580/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.4976 (3.4675) Prec@1 25.000 (27.811) Prec@5 53.125 (52.634)
Epoch: [4][3590/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.1473 (3.4673) Prec@1 29.297 (27.812) Prec@5 62.891 (52.638)
Epoch: [4][3600/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.3986 (3.4669) Prec@1 28.906 (27.816) Prec@5 52.734 (52.646)
Epoch: [4][3610/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.2886 (3.4666) Prec@1 33.594 (27.826) Prec@5 51.562 (52.650)
Epoch: [4][3620/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.4287 (3.4664) Prec@1 30.078 (27.834) Prec@5 53.125 (52.656)
Epoch: [4][3630/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.3447 (3.4661) Prec@1 29.297 (27.842) Prec@5 55.859 (52.659)
Epoch: [4][3640/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.1622 (3.4657) Prec@1 26.953 (27.845) Prec@5 58.594 (52.665)
Epoch: [4][3650/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.7580 (3.4657) Prec@1 25.781 (27.847) Prec@5 45.312 (52.666)
Epoch: [4][3660/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 3.4826 (3.4654) Prec@1 26.953 (27.851) Prec@5 53.125 (52.672)
Epoch: [4][3670/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 3.5015 (3.4652) Prec@1 29.688 (27.855) Prec@5 53.906 (52.678)
Epoch: [4][3680/5005] Time 0.467 (0.463) Data 0.000 (0.002) Loss 3.5698 (3.4650) Prec@1 26.562 (27.857) Prec@5 50.000 (52.682)
Epoch: [4][3690/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 3.3520 (3.4646) Prec@1 29.688 (27.862) Prec@5 55.859 (52.689)
Epoch: [4][3700/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.3038 (3.4642) Prec@1 31.250 (27.867) Prec@5 56.641 (52.694)
Epoch: [4][3710/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.3288 (3.4642) Prec@1 27.734 (27.870) Prec@5 55.469 (52.697)
Epoch: [4][3720/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.4077 (3.4638) Prec@1 28.516 (27.878) Prec@5 51.562 (52.703)
Epoch: [4][3730/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.4528 (3.4633) Prec@1 31.250 (27.888) Prec@5 54.297 (52.713)
Epoch: [4][3740/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.6822 (3.4634) Prec@1 25.391 (27.887) Prec@5 46.875 (52.712)
Epoch: [4][3750/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.4542 (3.4631) Prec@1 25.391 (27.892) Prec@5 54.297 (52.716)
Epoch: [4][3760/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.4898 (3.4630) Prec@1 28.906 (27.895) Prec@5 50.391 (52.720)
Epoch: [4][3770/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.2247 (3.4627) Prec@1 30.078 (27.898) Prec@5 59.375 (52.724)
Epoch: [4][3780/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.2839 (3.4625) Prec@1 33.203 (27.901) Prec@5 55.078 (52.729)
Epoch: [4][3790/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.3075 (3.4622) Prec@1 26.172 (27.902) Prec@5 57.422 (52.734)
Epoch: [4][3800/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.3057 (3.4619) Prec@1 26.562 (27.903) Prec@5 58.594 (52.739)
Epoch: [4][3810/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.5295 (3.4618) Prec@1 24.609 (27.906) Prec@5 54.688 (52.743)
Epoch: [4][3820/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 3.4808 (3.4617) Prec@1 26.562 (27.907) Prec@5 50.000 (52.744)
Epoch: [4][3830/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.2497 (3.4615) Prec@1 33.594 (27.911) Prec@5 57.812 (52.746)
Epoch: [4][3840/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.4161 (3.4614) Prec@1 31.641 (27.913) Prec@5 56.250 (52.749)
Epoch: [4][3850/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.2261 (3.4610) Prec@1 27.344 (27.918) Prec@5 57.031 (52.758)
Epoch: [4][3860/5005] Time 0.450 (0.462) Data 0.000 (0.002) Loss 3.1775 (3.4607) Prec@1 28.906 (27.925) Prec@5 57.422 (52.761)
Epoch: [4][3870/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.3483 (3.4604) Prec@1 29.688 (27.930) Prec@5 55.859 (52.768)
Epoch: [4][3880/5005] Time 0.460 (0.462) Data 0.001 (0.002) Loss 3.3987 (3.4601) Prec@1 29.297 (27.934) Prec@5 49.219 (52.772)
Epoch: [4][3890/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.5143 (3.4599) Prec@1 26.562 (27.938) Prec@5 53.906 (52.775)
Epoch: [4][3900/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.5810 (3.4596) Prec@1 25.781 (27.940) Prec@5 51.953 (52.781)
Epoch: [4][3910/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.3341 (3.4593) Prec@1 26.562 (27.943) Prec@5 53.516 (52.784)
Epoch: [4][3920/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.4473 (3.4592) Prec@1 24.609 (27.945) Prec@5 52.734 (52.787)
Epoch: [4][3930/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.3939 (3.4590) Prec@1 29.297 (27.946) Prec@5 52.734 (52.790)
Epoch: [4][3940/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.3710 (3.4587) Prec@1 29.688 (27.949) Prec@5 51.953 (52.794)
Epoch: [4][3950/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.7151 (3.4585) Prec@1 25.000 (27.950) Prec@5 50.391 (52.797)
Epoch: [4][3960/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.2779 (3.4585) Prec@1 30.078 (27.950) Prec@5 54.688 (52.797)
Epoch: [4][3970/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.6282 (3.4583) Prec@1 27.344 (27.955) Prec@5 49.219 (52.800)
Epoch: [4][3980/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.5244 (3.4582) Prec@1 29.297 (27.958) Prec@5 50.781 (52.803)
Epoch: [4][3990/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.3396 (3.4579) Prec@1 31.641 (27.963) Prec@5 54.688 (52.809)
Epoch: [4][4000/5005] Time 0.469 (0.462) Data 0.000 (0.002) Loss 3.1537 (3.4574) Prec@1 32.031 (27.971) Prec@5 56.641 (52.816)
Epoch: [4][4010/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 3.4462 (3.4572) Prec@1 28.516 (27.974) Prec@5 53.516 (52.821)
Epoch: [4][4020/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.2671 (3.4566) Prec@1 29.297 (27.980) Prec@5 59.766 (52.834)
Epoch: [4][4030/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.1003 (3.4564) Prec@1 29.688 (27.984) Prec@5 60.156 (52.839)
Epoch: [4][4040/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.3263 (3.4562) Prec@1 29.688 (27.987) Prec@5 53.906 (52.847)
Epoch: [4][4050/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.4950 (3.4560) Prec@1 26.953 (27.987) Prec@5 49.609 (52.849)
Epoch: [4][4060/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.2309 (3.4557) Prec@1 33.984 (27.995) Prec@5 59.375 (52.855)
Epoch: [4][4070/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.4052 (3.4554) Prec@1 26.562 (27.999) Prec@5 55.078 (52.862)
Epoch: [4][4080/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.4301 (3.4552) Prec@1 30.469 (28.004) Prec@5 53.125 (52.864)
Epoch: [4][4090/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.3975 (3.4551) Prec@1 30.469 (28.008) Prec@5 53.516 (52.867)
Epoch: [4][4100/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.2616 (3.4549) Prec@1 30.078 (28.010) Prec@5 55.859 (52.869)
Epoch: [4][4110/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0745 (3.4546) Prec@1 31.250 (28.015) Prec@5 60.156 (52.878)
Epoch: [4][4120/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.9895 (3.4540) Prec@1 32.812 (28.022) Prec@5 60.547 (52.886)
Epoch: [4][4130/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.4579 (3.4537) Prec@1 30.859 (28.028) Prec@5 53.906 (52.891)
Epoch: [4][4140/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.2636 (3.4534) Prec@1 28.906 (28.032) Prec@5 55.859 (52.897)
Epoch: [4][4150/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.2749 (3.4532) Prec@1 29.688 (28.036) Prec@5 57.031 (52.901)
Epoch: [4][4160/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.3033 (3.4530) Prec@1 29.297 (28.038) Prec@5 55.469 (52.906)
Epoch: [4][4170/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.3541 (3.4526) Prec@1 30.859 (28.047) Prec@5 55.078 (52.912)
Epoch: [4][4180/5005] Time 0.460 (0.462) Data 0.001 (0.002) Loss 3.3869 (3.4522) Prec@1 30.859 (28.052) Prec@5 54.297 (52.919)
Epoch: [4][4190/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.3681 (3.4520) Prec@1 28.125 (28.057) Prec@5 52.734 (52.921)
Epoch: [4][4200/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.1061 (3.4517) Prec@1 34.375 (28.067) Prec@5 59.375 (52.927)
Epoch: [4][4210/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.4930 (3.4515) Prec@1 24.219 (28.069) Prec@5 53.516 (52.933)
Epoch: [4][4220/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.3101 (3.4513) Prec@1 26.562 (28.070) Prec@5 53.125 (52.937)
Epoch: [4][4230/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.3142 (3.4510) Prec@1 34.766 (28.076) Prec@5 53.516 (52.942)
Epoch: [4][4240/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.4210 (3.4508) Prec@1 26.562 (28.082) Prec@5 53.516 (52.948)
Epoch: [4][4250/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.3140 (3.4506) Prec@1 30.469 (28.081) Prec@5 54.688 (52.950)
Epoch: [4][4260/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.1668 (3.4504) Prec@1 33.984 (28.085) Prec@5 56.641 (52.954)
Epoch: [4][4270/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.3141 (3.4502) Prec@1 26.562 (28.087) Prec@5 58.984 (52.960)
Epoch: [4][4280/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.1296 (3.4500) Prec@1 35.156 (28.089) Prec@5 61.328 (52.963)
Epoch: [4][4290/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.5950 (3.4499) Prec@1 27.734 (28.089) Prec@5 50.000 (52.968)
Epoch: [4][4300/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.3119 (3.4495) Prec@1 33.203 (28.095) Prec@5 56.641 (52.976)
Epoch: [4][4310/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.3428 (3.4493) Prec@1 29.688 (28.100) Prec@5 55.859 (52.981)
Epoch: [4][4320/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.4721 (3.4491) Prec@1 25.391 (28.101) Prec@5 49.609 (52.984)
Epoch: [4][4330/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.5578 (3.4490) Prec@1 26.953 (28.102) Prec@5 52.734 (52.988)
Epoch: [4][4340/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 3.1143 (3.4487) Prec@1 28.125 (28.103) Prec@5 57.422 (52.992)
Epoch: [4][4350/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.2654 (3.4483) Prec@1 35.547 (28.109) Prec@5 60.156 (53.003)
Epoch: [4][4360/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.0439 (3.4479) Prec@1 31.641 (28.112) Prec@5 62.109 (53.011)
Epoch: [4][4370/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.5887 (3.4478) Prec@1 28.516 (28.116) Prec@5 51.562 (53.012)
Epoch: [4][4380/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.9305 (3.4473) Prec@1 33.594 (28.121) Prec@5 64.062 (53.023)
Epoch: [4][4390/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.3181 (3.4470) Prec@1 32.031 (28.125) Prec@5 52.344 (53.029)
Epoch: [4][4400/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.1830 (3.4466) Prec@1 30.859 (28.130) Prec@5 60.156 (53.039)
Epoch: [4][4410/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.4317 (3.4462) Prec@1 25.000 (28.135) Prec@5 53.516 (53.048)
Epoch: [4][4420/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.1282 (3.4460) Prec@1 32.812 (28.139) Prec@5 61.328 (53.052)
Epoch: [4][4430/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.1768 (3.4456) Prec@1 31.641 (28.145) Prec@5 57.812 (53.061)
Epoch: [4][4440/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.3947 (3.4453) Prec@1 28.516 (28.150) Prec@5 51.172 (53.067)
Epoch: [4][4450/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.2373 (3.4452) Prec@1 29.688 (28.155) Prec@5 55.469 (53.070)
Epoch: [4][4460/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.5678 (3.4450) Prec@1 26.172 (28.159) Prec@5 53.125 (53.074)
Epoch: [4][4470/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.4773 (3.4449) Prec@1 27.734 (28.161) Prec@5 51.953 (53.076)
Epoch: [4][4480/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.4358 (3.4447) Prec@1 28.906 (28.162) Prec@5 51.172 (53.076)
Epoch: [4][4490/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.4935 (3.4446) Prec@1 28.906 (28.164) Prec@5 51.953 (53.076)
Epoch: [4][4500/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.3612 (3.4443) Prec@1 30.469 (28.168) Prec@5 59.766 (53.082)
Epoch: [4][4510/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.4827 (3.4445) Prec@1 28.125 (28.167) Prec@5 52.734 (53.078)
Epoch: [4][4520/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.4631 (3.4445) Prec@1 28.125 (28.170) Prec@5 51.562 (53.076)
Epoch: [4][4530/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.5661 (3.4442) Prec@1 28.906 (28.175) Prec@5 52.734 (53.084)
Epoch: [4][4540/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.4218 (3.4439) Prec@1 26.953 (28.180) Prec@5 53.906 (53.091)
Epoch: [4][4550/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.3094 (3.4437) Prec@1 28.906 (28.183) Prec@5 55.469 (53.095)
Epoch: [4][4560/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.1444 (3.4435) Prec@1 34.375 (28.183) Prec@5 58.594 (53.099)
Epoch: [4][4570/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.5116 (3.4434) Prec@1 26.562 (28.185) Prec@5 55.469 (53.100)
Epoch: [4][4580/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.0035 (3.4432) Prec@1 37.891 (28.188) Prec@5 61.719 (53.105)
Epoch: [4][4590/5005] Time 0.454 (0.462) Data 0.000 (0.001) Loss 3.3860 (3.4431) Prec@1 27.734 (28.192) Prec@5 54.297 (53.108)
Epoch: [4][4600/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 3.3631 (3.4428) Prec@1 30.078 (28.195) Prec@5 55.078 (53.113)
Epoch: [4][4610/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 3.4487 (3.4425) Prec@1 26.953 (28.198) Prec@5 52.344 (53.118)
Epoch: [4][4620/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.2483 (3.4423) Prec@1 28.516 (28.201) Prec@5 57.031 (53.123)
Epoch: [4][4630/5005] Time 0.461 (0.462) Data 0.000 (0.001) Loss 3.2312 (3.4419) Prec@1 34.375 (28.209) Prec@5 56.641 (53.129)
Epoch: [4][4640/5005] Time 0.460 (0.462) Data 0.000 (0.001) Loss 3.3362 (3.4419) Prec@1 30.469 (28.210) Prec@5 50.781 (53.130)
Epoch: [4][4650/5005] Time 0.454 (0.462) Data 0.000 (0.001) Loss 3.4586 (3.4416) Prec@1 28.125 (28.213) Prec@5 53.906 (53.138)
Epoch: [4][4660/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.4719 (3.4414) Prec@1 27.734 (28.215) Prec@5 49.609 (53.141)
Epoch: [4][4670/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 3.3540 (3.4413) Prec@1 29.297 (28.216) Prec@5 56.641 (53.145)
Epoch: [4][4680/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 3.1962 (3.4409) Prec@1 30.078 (28.222) Prec@5 57.031 (53.154)
Epoch: [4][4690/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.3618 (3.4404) Prec@1 31.250 (28.232) Prec@5 57.812 (53.164)
Epoch: [4][4700/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.5928 (3.4399) Prec@1 30.859 (28.240) Prec@5 50.781 (53.172)
Epoch: [4][4710/5005] Time 0.460 (0.462) Data 0.000 (0.001) Loss 3.5117 (3.4399) Prec@1 26.172 (28.241) Prec@5 53.125 (53.175)
Epoch: [4][4720/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 3.1313 (3.4395) Prec@1 30.469 (28.247) Prec@5 60.156 (53.184)
Epoch: [4][4730/5005] Time 0.454 (0.462) Data 0.000 (0.001) Loss 3.5423 (3.4393) Prec@1 26.172 (28.249) Prec@5 54.688 (53.189)
Epoch: [4][4740/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 3.3189 (3.4391) Prec@1 34.375 (28.253) Prec@5 53.906 (53.193)
Epoch: [4][4750/5005] Time 0.454 (0.462) Data 0.000 (0.001) Loss 3.3002 (3.4389) Prec@1 27.344 (28.258) Prec@5 54.297 (53.196)
Epoch: [4][4760/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 3.4858 (3.4387) Prec@1 29.297 (28.261) Prec@5 51.953 (53.197)
Epoch: [4][4770/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.2521 (3.4385) Prec@1 29.688 (28.265) Prec@5 56.641 (53.201)
Epoch: [4][4780/5005] Time 0.464 (0.462) Data 0.000 (0.001) Loss 3.1737 (3.4384) Prec@1 30.859 (28.267) Prec@5 56.250 (53.205)
Epoch: [4][4790/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 3.2129 (3.4381) Prec@1 30.078 (28.272) Prec@5 58.594 (53.210)
Epoch: [4][4800/5005] Time 0.461 (0.462) Data 0.000 (0.001) Loss 3.4118 (3.4378) Prec@1 29.297 (28.277) Prec@5 55.859 (53.216)
Epoch: [4][4810/5005] Time 0.462 (0.462) Data 0.000 (0.001) Loss 3.3353 (3.4375) Prec@1 30.859 (28.280) Prec@5 55.469 (53.223)
Epoch: [4][4820/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.5180 (3.4372) Prec@1 26.562 (28.282) Prec@5 52.344 (53.227)
Epoch: [4][4830/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.0320 (3.4368) Prec@1 35.938 (28.289) Prec@5 59.766 (53.235)
Epoch: [4][4840/5005] Time 0.463 (0.462) Data 0.000 (0.001) Loss 3.3355 (3.4365) Prec@1 29.688 (28.295) Prec@5 53.906 (53.242)
Epoch: [4][4850/5005] Time 0.466 (0.462) Data 0.000 (0.001) Loss 3.2946 (3.4362) Prec@1 31.641 (28.300) Prec@5 53.906 (53.248)
Epoch: [4][4860/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 3.3426 (3.4359) Prec@1 26.953 (28.303) Prec@5 55.859 (53.253)
Epoch: [4][4870/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 3.3109 (3.4358) Prec@1 30.078 (28.306) Prec@5 56.641 (53.257)
Epoch: [4][4880/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 3.2537 (3.4357) Prec@1 32.031 (28.308) Prec@5 58.203 (53.258)
Epoch: [4][4890/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 3.3036 (3.4355) Prec@1 29.297 (28.311) Prec@5 54.688 (53.263)
Epoch: [4][4900/5005] Time 0.460 (0.462) Data 0.000 (0.001) Loss 3.4192 (3.4353) Prec@1 28.125 (28.316) Prec@5 57.812 (53.269)
Epoch: [4][4910/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.3393 (3.4350) Prec@1 30.078 (28.321) Prec@5 53.125 (53.273)
Epoch: [4][4920/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.4730 (3.4348) Prec@1 27.344 (28.326) Prec@5 51.953 (53.279)
Epoch: [4][4930/5005] Time 0.462 (0.462) Data 0.000 (0.001) Loss 3.3146 (3.4346) Prec@1 30.469 (28.328) Prec@5 54.297 (53.283)
Epoch: [4][4940/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.3553 (3.4345) Prec@1 33.984 (28.332) Prec@5 56.250 (53.286)
Epoch: [4][4950/5005] Time 0.462 (0.462) Data 0.000 (0.001) Loss 3.3044 (3.4342) Prec@1 30.078 (28.333) Prec@5 53.906 (53.290)
Epoch: [4][4960/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 3.2218 (3.4340) Prec@1 30.859 (28.338) Prec@5 56.641 (53.295)
Epoch: [4][4970/5005] Time 0.465 (0.462) Data 0.000 (0.001) Loss 3.0990 (3.4337) Prec@1 31.641 (28.342) Prec@5 58.203 (53.300)
Epoch: [4][4980/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 3.4981 (3.4335) Prec@1 25.781 (28.346) Prec@5 53.906 (53.306)
Epoch: [4][4990/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.4346 (3.4333) Prec@1 27.734 (28.347) Prec@5 54.688 (53.309)
Epoch: [4][5000/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.1316 (3.4329) Prec@1 33.984 (28.354) Prec@5 57.812 (53.316)
Test: [0/196] Time 5.209 (5.209) Loss 1.8953 (1.8953) Prec@1 55.469 (55.469) Prec@5 82.422 (82.422)
Test: [10/196] Time 0.152 (0.611) Loss 2.8866 (2.2453) Prec@1 39.062 (48.438) Prec@5 62.891 (74.041)
Test: [20/196] Time 0.149 (0.392) Loss 2.3154 (2.2135) Prec@1 48.438 (49.442) Prec@5 71.875 (74.312)
Test: [30/196] Time 0.149 (0.316) Loss 2.0364 (2.2192) Prec@1 45.703 (48.538) Prec@5 80.078 (74.332)
Test: [40/196] Time 0.152 (0.277) Loss 2.6217 (2.2836) Prec@1 35.547 (45.532) Prec@5 67.578 (73.266)
Test: [50/196] Time 0.150 (0.252) Loss 2.0490 (2.2469) Prec@1 47.266 (45.320) Prec@5 79.688 (74.472)
Test: [60/196] Time 0.151 (0.236) Loss 2.7841 (2.2314) Prec@1 30.469 (45.255) Prec@5 69.922 (75.000)
Test: [70/196] Time 0.151 (0.224) Loss 2.2964 (2.2126) Prec@1 49.609 (45.978) Prec@5 74.219 (75.275)
Test: [80/196] Time 0.156 (0.215) Loss 3.4314 (2.2269) Prec@1 23.828 (46.046) Prec@5 54.688 (74.952)
Test: [90/196] Time 0.152 (0.208) Loss 4.2693 (2.3337) Prec@1 14.453 (44.574) Prec@5 38.281 (73.025)
Test: [100/196] Time 0.154 (0.203) Loss 3.8781 (2.4183) Prec@1 17.969 (43.313) Prec@5 48.047 (71.546)
Test: [110/196] Time 0.152 (0.198) Loss 2.5700 (2.4554) Prec@1 46.875 (43.099) Prec@5 66.406 (70.893)
Test: [120/196] Time 0.150 (0.194) Loss 3.4523 (2.5019) Prec@1 33.594 (42.730) Prec@5 54.688 (70.103)
Test: [130/196] Time 0.156 (0.191) Loss 2.6963 (2.5562) Prec@1 40.234 (41.800) Prec@5 68.359 (69.233)
Test: [140/196] Time 0.152 (0.188) Loss 2.8527 (2.5937) Prec@1 41.406 (41.323) Prec@5 64.844 (68.470)
Test: [150/196] Time 0.149 (0.186) Loss 3.4128 (2.6379) Prec@1 32.422 (40.741) Prec@5 54.688 (67.795)
Test: [160/196] Time 0.149 (0.184) Loss 2.9264 (2.6693) Prec@1 32.812 (40.297) Prec@5 63.281 (67.246)
Test: [170/196] Time 0.150 (0.182) Loss 2.0563 (2.7013) Prec@1 52.734 (39.734) Prec@5 79.297 (66.678)
Test: [180/196] Time 0.155 (0.180) Loss 2.4940 (2.7217) Prec@1 37.500 (39.416) Prec@5 71.484 (66.298)
Test: [190/196] Time 0.148 (0.179) Loss 1.9979 (2.7096) Prec@1 48.828 (39.647) Prec@5 81.250 (66.576)
* Prec@1 40.064 Prec@5 66.858
Epoch: [5][0/5005] Time 4.658 (4.658) Data 4.471 (4.471) Loss 3.0679 (3.0679) Prec@1 32.422 (32.422) Prec@5 58.984 (58.984)
Epoch: [5][10/5005] Time 0.461 (0.843) Data 0.000 (0.415) Loss 3.2362 (3.2150) Prec@1 27.734 (32.173) Prec@5 58.594 (57.067)
Epoch: [5][20/5005] Time 0.478 (0.663) Data 0.000 (0.218) Loss 3.2432 (3.2343) Prec@1 33.203 (31.734) Prec@5 57.422 (56.864)
Epoch: [5][30/5005] Time 0.472 (0.600) Data 0.000 (0.148) Loss 3.2797 (3.2312) Prec@1 32.031 (31.527) Prec@5 58.594 (56.968)
Epoch: [5][40/5005] Time 0.461 (0.567) Data 0.000 (0.112) Loss 3.4227 (3.2379) Prec@1 28.906 (31.507) Prec@5 50.391 (56.736)
Epoch: [5][50/5005] Time 0.452 (0.546) Data 0.000 (0.090) Loss 3.1777 (3.2422) Prec@1 34.375 (31.350) Prec@5 56.641 (56.855)
Epoch: [5][60/5005] Time 0.449 (0.532) Data 0.000 (0.075) Loss 3.2259 (3.2560) Prec@1 30.859 (31.026) Prec@5 59.375 (56.814)
Epoch: [5][70/5005] Time 0.448 (0.522) Data 0.000 (0.065) Loss 3.3227 (3.2510) Prec@1 28.125 (31.002) Prec@5 56.641 (56.993)
Epoch: [5][80/5005] Time 0.453 (0.515) Data 0.000 (0.057) Loss 3.3716 (3.2638) Prec@1 28.125 (30.671) Prec@5 51.172 (56.660)
Epoch: [5][90/5005] Time 0.475 (0.509) Data 0.000 (0.051) Loss 3.1502 (3.2600) Prec@1 32.422 (30.821) Prec@5 56.250 (56.769)
Epoch: [5][100/5005] Time 0.463 (0.505) Data 0.000 (0.046) Loss 3.2884 (3.2644) Prec@1 33.594 (30.639) Prec@5 53.125 (56.683)
Epoch: [5][110/5005] Time 0.475 (0.501) Data 0.000 (0.042) Loss 3.4270 (3.2699) Prec@1 28.906 (30.666) Prec@5 50.781 (56.507)
Epoch: [5][120/5005] Time 0.468 (0.498) Data 0.000 (0.038) Loss 3.2361 (3.2691) Prec@1 28.125 (30.643) Prec@5 55.469 (56.563)
Epoch: [5][130/5005] Time 0.467 (0.496) Data 0.000 (0.035) Loss 3.2220 (3.2677) Prec@1 28.516 (30.657) Prec@5 60.547 (56.617)
Epoch: [5][140/5005] Time 0.456 (0.493) Data 0.000 (0.033) Loss 3.1732 (3.2670) Prec@1 36.328 (30.749) Prec@5 58.203 (56.616)
Epoch: [5][150/5005] Time 0.447 (0.491) Data 0.000 (0.031) Loss 3.2564 (3.2685) Prec@1 30.078 (30.725) Prec@5 55.469 (56.563)
Epoch: [5][160/5005] Time 0.448 (0.489) Data 0.000 (0.029) Loss 3.2377 (3.2634) Prec@1 30.859 (30.838) Prec@5 57.031 (56.655)
Epoch: [5][170/5005] Time 0.476 (0.488) Data 0.000 (0.027) Loss 3.4200 (3.2674) Prec@1 26.562 (30.763) Prec@5 56.250 (56.556)
Epoch: [5][180/5005] Time 0.461 (0.487) Data 0.000 (0.026) Loss 3.2963 (3.2662) Prec@1 31.250 (30.827) Prec@5 56.641 (56.567)
Epoch: [5][190/5005] Time 0.463 (0.485) Data 0.000 (0.024) Loss 3.1177 (3.2670) Prec@1 39.844 (30.808) Prec@5 59.375 (56.528)
Epoch: [5][200/5005] Time 0.475 (0.484) Data 0.000 (0.023) Loss 3.6287 (3.2673) Prec@1 24.219 (30.768) Prec@5 55.078 (56.543)
Epoch: [5][210/5005] Time 0.476 (0.483) Data 0.000 (0.022) Loss 3.3474 (3.2699) Prec@1 29.688 (30.724) Prec@5 56.250 (56.515)
Epoch: [5][220/5005] Time 0.470 (0.482) Data 0.000 (0.021) Loss 3.4117 (3.2710) Prec@1 30.078 (30.706) Prec@5 51.172 (56.451)
Epoch: [5][230/5005] Time 0.467 (0.481) Data 0.000 (0.020) Loss 3.2226 (3.2741) Prec@1 35.938 (30.672) Prec@5 57.031 (56.424)
Epoch: [5][240/5005] Time 0.468 (0.481) Data 0.000 (0.019) Loss 2.9952 (3.2758) Prec@1 36.328 (30.692) Prec@5 64.844 (56.456)
Epoch: [5][250/5005] Time 0.461 (0.480) Data 0.000 (0.019) Loss 3.0876 (3.2753) Prec@1 39.062 (30.729) Prec@5 61.719 (56.476)
Epoch: [5][260/5005] Time 0.477 (0.480) Data 0.000 (0.018) Loss 3.1725 (3.2743) Prec@1 33.203 (30.747) Prec@5 58.203 (56.489)
Epoch: [5][270/5005] Time 0.475 (0.479) Data 0.000 (0.017) Loss 3.2318 (3.2719) Prec@1 32.812 (30.777) Prec@5 54.297 (56.527)
Epoch: [5][280/5005] Time 0.473 (0.479) Data 0.000 (0.017) Loss 3.2528 (3.2739) Prec@1 27.344 (30.745) Prec@5 56.250 (56.492)
Epoch: [5][290/5005] Time 0.453 (0.478) Data 0.000 (0.016) Loss 3.3321 (3.2730) Prec@1 29.297 (30.744) Prec@5 59.375 (56.539)
Epoch: [5][300/5005] Time 0.469 (0.478) Data 0.000 (0.016) Loss 3.1571 (3.2738) Prec@1 30.078 (30.759) Prec@5 58.984 (56.513)
Epoch: [5][310/5005] Time 0.457 (0.477) Data 0.000 (0.015) Loss 3.2504 (3.2743) Prec@1 31.250 (30.745) Prec@5 55.859 (56.535)
Epoch: [5][320/5005] Time 0.462 (0.477) Data 0.000 (0.015) Loss 3.3227 (3.2722) Prec@1 30.078 (30.827) Prec@5 52.344 (56.560)
Epoch: [5][330/5005] Time 0.451 (0.477) Data 0.000 (0.014) Loss 2.9901 (3.2704) Prec@1 35.938 (30.855) Prec@5 59.375 (56.538)
Epoch: [5][340/5005] Time 0.458 (0.476) Data 0.000 (0.014) Loss 3.3387 (3.2682) Prec@1 30.078 (30.925) Prec@5 52.344 (56.551)
Epoch: [5][350/5005] Time 0.458 (0.476) Data 0.000 (0.013) Loss 3.1931 (3.2677) Prec@1 28.516 (30.911) Prec@5 61.328 (56.544)
Epoch: [5][360/5005] Time 0.453 (0.476) Data 0.000 (0.013) Loss 3.0088 (3.2665) Prec@1 34.375 (30.943) Prec@5 61.328 (56.571)
Epoch: [5][370/5005] Time 0.454 (0.475) Data 0.000 (0.013) Loss 3.1232 (3.2670) Prec@1 30.859 (30.960) Prec@5 59.375 (56.547)
Epoch: [5][380/5005] Time 0.466 (0.475) Data 0.000 (0.012) Loss 3.1741 (3.2681) Prec@1 31.250 (30.961) Prec@5 57.031 (56.502)
Epoch: [5][390/5005] Time 0.479 (0.475) Data 0.000 (0.012) Loss 3.0818 (3.2684) Prec@1 35.547 (30.968) Prec@5 60.547 (56.521)
Epoch: [5][400/5005] Time 0.468 (0.474) Data 0.000 (0.012) Loss 3.3321 (3.2696) Prec@1 33.984 (30.951) Prec@5 53.906 (56.494)
Epoch: [5][410/5005] Time 0.457 (0.474) Data 0.000 (0.012) Loss 3.2880 (3.2683) Prec@1 29.297 (30.981) Prec@5 55.078 (56.522)
Epoch: [5][420/5005] Time 0.456 (0.474) Data 0.000 (0.011) Loss 3.2453 (3.2683) Prec@1 33.203 (30.973) Prec@5 54.688 (56.501)
Epoch: [5][430/5005] Time 0.474 (0.474) Data 0.000 (0.011) Loss 3.2178 (3.2670) Prec@1 31.250 (30.983) Prec@5 54.688 (56.499)
Epoch: [5][440/5005] Time 0.459 (0.474) Data 0.000 (0.011) Loss 3.1334 (3.2674) Prec@1 35.156 (30.959) Prec@5 57.812 (56.511)
Epoch: [5][450/5005] Time 0.454 (0.473) Data 0.000 (0.011) Loss 2.9157 (3.2660) Prec@1 36.328 (30.969) Prec@5 61.328 (56.510)
Epoch: [5][460/5005] Time 0.476 (0.473) Data 0.000 (0.010) Loss 3.2004 (3.2658) Prec@1 32.422 (30.985) Prec@5 56.641 (56.494)
Epoch: [5][470/5005] Time 0.478 (0.473) Data 0.000 (0.010) Loss 3.3582 (3.2676) Prec@1 30.859 (30.960) Prec@5 59.766 (56.461)
Epoch: [5][480/5005] Time 0.468 (0.473) Data 0.000 (0.010) Loss 3.0676 (3.2668) Prec@1 35.547 (30.990) Prec@5 61.328 (56.480)
Epoch: [5][490/5005] Time 0.477 (0.473) Data 0.000 (0.010) Loss 3.2649 (3.2678) Prec@1 29.297 (30.964) Prec@5 53.906 (56.448)
Epoch: [5][500/5005] Time 0.468 (0.472) Data 0.000 (0.010) Loss 3.2514 (3.2692) Prec@1 32.422 (30.958) Prec@5 57.422 (56.421)
Epoch: [5][510/5005] Time 0.456 (0.472) Data 0.000 (0.009) Loss 3.1532 (3.2694) Prec@1 33.594 (30.962) Prec@5 58.594 (56.411)
Epoch: [5][520/5005] Time 0.447 (0.472) Data 0.000 (0.009) Loss 3.3589 (3.2679) Prec@1 27.734 (30.984) Prec@5 55.859 (56.448)
Epoch: [5][530/5005] Time 0.453 (0.472) Data 0.000 (0.009) Loss 3.1808 (3.2680) Prec@1 32.031 (30.990) Prec@5 62.500 (56.463)
Epoch: [5][540/5005] Time 0.457 (0.472) Data 0.000 (0.009) Loss 3.2147 (3.2693) Prec@1 30.469 (30.987) Prec@5 57.422 (56.448)
Epoch: [5][550/5005] Time 0.464 (0.471) Data 0.000 (0.009) Loss 3.2363 (3.2705) Prec@1 33.203 (30.978) Prec@5 57.422 (56.434)
Epoch: [5][560/5005] Time 0.461 (0.471) Data 0.000 (0.009) Loss 3.3278 (3.2715) Prec@1 32.812 (30.978) Prec@5 55.859 (56.414)
Epoch: [5][570/5005] Time 0.470 (0.471) Data 0.000 (0.008) Loss 3.3541 (3.2717) Prec@1 32.422 (30.986) Prec@5 57.812 (56.411)
Epoch: [5][580/5005] Time 0.458 (0.471) Data 0.000 (0.008) Loss 3.3614 (3.2720) Prec@1 27.344 (30.977) Prec@5 55.078 (56.404)
Epoch: [5][590/5005] Time 0.464 (0.471) Data 0.000 (0.008) Loss 3.2244 (3.2714) Prec@1 32.422 (30.990) Prec@5 58.984 (56.435)
Epoch: [5][600/5005] Time 0.463 (0.471) Data 0.000 (0.008) Loss 3.2094 (3.2711) Prec@1 28.516 (30.978) Prec@5 58.203 (56.440)
Epoch: [5][610/5005] Time 0.482 (0.471) Data 0.000 (0.008) Loss 3.2291 (3.2709) Prec@1 35.938 (30.976) Prec@5 54.688 (56.441)
Epoch: [5][620/5005] Time 0.476 (0.471) Data 0.000 (0.008) Loss 3.2301 (3.2704) Prec@1 30.859 (30.979) Prec@5 54.688 (56.456)
Epoch: [5][630/5005] Time 0.452 (0.470) Data 0.000 (0.008) Loss 3.1884 (3.2710) Prec@1 31.641 (30.976) Prec@5 56.641 (56.449)
Epoch: [5][640/5005] Time 0.456 (0.470) Data 0.000 (0.008) Loss 3.2046 (3.2715) Prec@1 35.156 (30.969) Prec@5 57.422 (56.428)
Epoch: [5][650/5005] Time 0.478 (0.470) Data 0.000 (0.007) Loss 3.4154 (3.2713) Prec@1 26.953 (30.964) Prec@5 54.688 (56.431)
Epoch: [5][660/5005] Time 0.453 (0.470) Data 0.000 (0.007) Loss 2.9775 (3.2703) Prec@1 36.328 (30.966) Prec@5 60.547 (56.443)
Epoch: [5][670/5005] Time 0.451 (0.470) Data 0.000 (0.007) Loss 3.5020 (3.2706) Prec@1 30.469 (30.972) Prec@5 51.172 (56.441)
Epoch: [5][680/5005] Time 0.478 (0.470) Data 0.000 (0.007) Loss 2.9912 (3.2707) Prec@1 34.766 (30.974) Prec@5 62.891 (56.440)
Epoch: [5][690/5005] Time 0.449 (0.470) Data 0.000 (0.007) Loss 3.4146 (3.2712) Prec@1 28.125 (30.958) Prec@5 52.734 (56.434)
Epoch: [5][700/5005] Time 0.451 (0.470) Data 0.000 (0.007) Loss 3.3507 (3.2714) Prec@1 26.562 (30.965) Prec@5 53.906 (56.429)
Epoch: [5][710/5005] Time 0.467 (0.470) Data 0.000 (0.007) Loss 3.1423 (3.2711) Prec@1 33.203 (30.980) Prec@5 59.766 (56.452)
Epoch: [5][720/5005] Time 0.451 (0.469) Data 0.000 (0.007) Loss 2.9440 (3.2705) Prec@1 34.766 (30.985) Prec@5 62.109 (56.459)
Epoch: [5][730/5005] Time 0.458 (0.469) Data 0.000 (0.007) Loss 3.2102 (3.2692) Prec@1 28.516 (30.990) Prec@5 56.641 (56.475)
Epoch: [5][740/5005] Time 0.457 (0.469) Data 0.000 (0.007) Loss 3.5696 (3.2693) Prec@1 29.688 (30.989) Prec@5 53.125 (56.467)
Epoch: [5][750/5005] Time 0.470 (0.469) Data 0.000 (0.007) Loss 3.0746 (3.2690) Prec@1 33.594 (30.990) Prec@5 58.594 (56.464)
Epoch: [5][760/5005] Time 0.457 (0.469) Data 0.000 (0.006) Loss 3.2967 (3.2686) Prec@1 31.250 (30.992) Prec@5 58.984 (56.477)
Epoch: [5][770/5005] Time 0.474 (0.469) Data 0.000 (0.006) Loss 3.1935 (3.2688) Prec@1 29.297 (30.973) Prec@5 59.375 (56.478)
Epoch: [5][780/5005] Time 0.474 (0.469) Data 0.000 (0.006) Loss 3.2890 (3.2693) Prec@1 25.391 (30.944) Prec@5 53.516 (56.476)
Epoch: [5][790/5005] Time 0.459 (0.469) Data 0.000 (0.006) Loss 3.2325 (3.2681) Prec@1 34.766 (30.961) Prec@5 60.547 (56.508)
Epoch: [5][800/5005] Time 0.474 (0.469) Data 0.000 (0.006) Loss 3.3410 (3.2685) Prec@1 30.469 (30.971) Prec@5 50.781 (56.493)
Epoch: [5][810/5005] Time 0.457 (0.469) Data 0.000 (0.006) Loss 3.3819 (3.2680) Prec@1 30.859 (30.978) Prec@5 56.250 (56.496)
Epoch: [5][820/5005] Time 0.477 (0.469) Data 0.000 (0.006) Loss 3.2426 (3.2676) Prec@1 31.250 (30.994) Prec@5 60.938 (56.498)
Epoch: [5][830/5005] Time 0.459 (0.469) Data 0.000 (0.006) Loss 3.1924 (3.2675) Prec@1 29.688 (30.991) Prec@5 54.688 (56.488)
Epoch: [5][840/5005] Time 0.454 (0.469) Data 0.000 (0.006) Loss 3.4064 (3.2666) Prec@1 31.250 (30.994) Prec@5 56.250 (56.501)
Epoch: [5][850/5005] Time 0.470 (0.469) Data 0.000 (0.006) Loss 3.3995 (3.2665) Prec@1 26.953 (31.012) Prec@5 55.859 (56.498)
Epoch: [5][860/5005] Time 0.470 (0.469) Data 0.000 (0.006) Loss 3.1157 (3.2661) Prec@1 32.031 (31.022) Prec@5 55.859 (56.502)
Epoch: [5][870/5005] Time 0.452 (0.468) Data 0.000 (0.006) Loss 3.2121 (3.2674) Prec@1 32.031 (31.008) Prec@5 55.469 (56.475)
Epoch: [5][880/5005] Time 0.455 (0.468) Data 0.000 (0.006) Loss 3.4046 (3.2682) Prec@1 27.344 (31.000) Prec@5 51.562 (56.459)
Epoch: [5][890/5005] Time 0.457 (0.468) Data 0.000 (0.006) Loss 3.3705 (3.2684) Prec@1 27.344 (31.011) Prec@5 54.688 (56.450)
Epoch: [5][900/5005] Time 0.457 (0.468) Data 0.000 (0.005) Loss 3.3452 (3.2681) Prec@1 33.203 (31.016) Prec@5 51.562 (56.451)
Epoch: [5][910/5005] Time 0.462 (0.468) Data 0.000 (0.005) Loss 3.2421 (3.2675) Prec@1 32.422 (31.026) Prec@5 58.594 (56.469)
Epoch: [5][920/5005] Time 0.454 (0.468) Data 0.000 (0.005) Loss 3.1696 (3.2673) Prec@1 35.156 (31.035) Prec@5 56.641 (56.474)
Epoch: [5][930/5005] Time 0.455 (0.468) Data 0.001 (0.005) Loss 3.3685 (3.2672) Prec@1 29.688 (31.041) Prec@5 55.469 (56.472)
Epoch: [5][940/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 2.9389 (3.2667) Prec@1 37.500 (31.049) Prec@5 61.328 (56.480)
Epoch: [5][950/5005] Time 0.464 (0.468) Data 0.000 (0.005) Loss 3.0949 (3.2670) Prec@1 31.641 (31.049) Prec@5 57.812 (56.478)
Epoch: [5][960/5005] Time 0.468 (0.468) Data 0.000 (0.005) Loss 3.2442 (3.2668) Prec@1 31.641 (31.050) Prec@5 53.125 (56.473)
Epoch: [5][970/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 3.2587 (3.2669) Prec@1 30.078 (31.055) Prec@5 58.594 (56.474)
Epoch: [5][980/5005] Time 0.464 (0.468) Data 0.000 (0.005) Loss 3.1767 (3.2663) Prec@1 35.938 (31.054) Prec@5 58.203 (56.476)
Epoch: [5][990/5005] Time 0.453 (0.468) Data 0.000 (0.005) Loss 3.4933 (3.2669) Prec@1 26.953 (31.042) Prec@5 48.438 (56.457)
Epoch: [5][1000/5005] Time 0.458 (0.468) Data 0.000 (0.005) Loss 3.2593 (3.2660) Prec@1 32.422 (31.049) Prec@5 58.203 (56.471)
Epoch: [5][1010/5005] Time 0.452 (0.468) Data 0.000 (0.005) Loss 3.2692 (3.2665) Prec@1 34.766 (31.054) Prec@5 59.375 (56.467)
Epoch: [5][1020/5005] Time 0.468 (0.468) Data 0.000 (0.005) Loss 3.2346 (3.2664) Prec@1 30.859 (31.051) Prec@5 57.031 (56.479)
Epoch: [5][1030/5005] Time 0.456 (0.468) Data 0.001 (0.005) Loss 3.1216 (3.2668) Prec@1 33.203 (31.045) Prec@5 58.984 (56.469)
Epoch: [5][1040/5005] Time 0.451 (0.468) Data 0.000 (0.005) Loss 3.2334 (3.2669) Prec@1 32.422 (31.038) Prec@5 58.203 (56.466)
Epoch: [5][1050/5005] Time 0.473 (0.468) Data 0.000 (0.005) Loss 3.3926 (3.2669) Prec@1 26.953 (31.035) Prec@5 54.688 (56.471)
Epoch: [5][1060/5005] Time 0.458 (0.468) Data 0.000 (0.005) Loss 3.2593 (3.2668) Prec@1 26.562 (31.036) Prec@5 57.422 (56.473)
Epoch: [5][1070/5005] Time 0.451 (0.468) Data 0.000 (0.005) Loss 3.2821 (3.2670) Prec@1 25.391 (31.027) Prec@5 56.250 (56.471)
Epoch: [5][1080/5005] Time 0.462 (0.468) Data 0.000 (0.005) Loss 3.2041 (3.2665) Prec@1 29.297 (31.026) Prec@5 55.859 (56.485)
Epoch: [5][1090/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 3.2079 (3.2658) Prec@1 29.297 (31.033) Prec@5 55.469 (56.500)
Epoch: [5][1100/5005] Time 0.458 (0.467) Data 0.000 (0.005) Loss 3.4429 (3.2661) Prec@1 29.688 (31.030) Prec@5 52.734 (56.497)
Epoch: [5][1110/5005] Time 0.462 (0.467) Data 0.000 (0.005) Loss 3.1807 (3.2655) Prec@1 30.859 (31.040) Prec@5 57.031 (56.511)
Epoch: [5][1120/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 3.2897 (3.2658) Prec@1 32.812 (31.032) Prec@5 58.594 (56.506)
Epoch: [5][1130/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 3.1604 (3.2654) Prec@1 29.297 (31.031) Prec@5 57.812 (56.514)
Epoch: [5][1140/5005] Time 0.462 (0.467) Data 0.000 (0.004) Loss 3.2806 (3.2654) Prec@1 30.859 (31.029) Prec@5 55.469 (56.510)
Epoch: [5][1150/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 3.3005 (3.2647) Prec@1 32.812 (31.045) Prec@5 56.250 (56.526)
Epoch: [5][1160/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 2.9758 (3.2642) Prec@1 33.594 (31.047) Prec@5 62.109 (56.525)
Epoch: [5][1170/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 3.2052 (3.2640) Prec@1 28.906 (31.062) Prec@5 57.812 (56.523)
Epoch: [5][1180/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 2.9783 (3.2631) Prec@1 35.547 (31.071) Prec@5 62.891 (56.540)
Epoch: [5][1190/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 3.1148 (3.2630) Prec@1 30.078 (31.074) Prec@5 57.812 (56.539)
Epoch: [5][1200/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 3.3668 (3.2620) Prec@1 29.688 (31.093) Prec@5 54.297 (56.555)
Epoch: [5][1210/5005] Time 0.459 (0.467) Data 0.000 (0.004) Loss 3.3298 (3.2611) Prec@1 31.250 (31.110) Prec@5 51.953 (56.570)
Epoch: [5][1220/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 3.1636 (3.2605) Prec@1 29.688 (31.107) Prec@5 58.203 (56.581)
Epoch: [5][1230/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 3.1995 (3.2604) Prec@1 31.250 (31.114) Prec@5 58.203 (56.577)
Epoch: [5][1240/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 3.2554 (3.2604) Prec@1 28.516 (31.117) Prec@5 55.469 (56.583)
Epoch: [5][1250/5005] Time 0.454 (0.466) Data 0.000 (0.004) Loss 3.3810 (3.2598) Prec@1 28.906 (31.124) Prec@5 55.078 (56.591)
Epoch: [5][1260/5005] Time 0.459 (0.466) Data 0.000 (0.004) Loss 3.3512 (3.2596) Prec@1 32.031 (31.136) Prec@5 57.422 (56.598)
Epoch: [5][1270/5005] Time 0.461 (0.466) Data 0.000 (0.004) Loss 3.1438 (3.2596) Prec@1 29.688 (31.139) Prec@5 57.812 (56.596)
Epoch: [5][1280/5005] Time 0.456 (0.466) Data 0.000 (0.004) Loss 3.5306 (3.2603) Prec@1 32.031 (31.129) Prec@5 53.906 (56.587)
Epoch: [5][1290/5005] Time 0.461 (0.466) Data 0.000 (0.004) Loss 3.4212 (3.2604) Prec@1 27.734 (31.120) Prec@5 55.078 (56.582)
Epoch: [5][1300/5005] Time 0.461 (0.466) Data 0.000 (0.004) Loss 3.3270 (3.2599) Prec@1 31.250 (31.124) Prec@5 57.031 (56.589)
Epoch: [5][1310/5005] Time 0.463 (0.466) Data 0.000 (0.004) Loss 3.2316 (3.2602) Prec@1 29.688 (31.118) Prec@5 57.422 (56.584)
Epoch: [5][1320/5005] Time 0.453 (0.466) Data 0.000 (0.004) Loss 3.4601 (3.2603) Prec@1 24.609 (31.106) Prec@5 53.125 (56.588)
Epoch: [5][1330/5005] Time 0.459 (0.466) Data 0.000 (0.004) Loss 3.2448 (3.2605) Prec@1 29.688 (31.111) Prec@5 57.812 (56.590)
Epoch: [5][1340/5005] Time 0.462 (0.466) Data 0.000 (0.004) Loss 3.1753 (3.2601) Prec@1 31.641 (31.117) Prec@5 57.031 (56.591)
Epoch: [5][1350/5005] Time 0.462 (0.466) Data 0.000 (0.004) Loss 3.2748 (3.2600) Prec@1 30.859 (31.120) Prec@5 57.031 (56.590)
Epoch: [5][1360/5005] Time 0.456 (0.466) Data 0.000 (0.004) Loss 3.4477 (3.2604) Prec@1 28.125 (31.122) Prec@5 53.125 (56.589)
Epoch: [5][1370/5005] Time 0.459 (0.466) Data 0.000 (0.004) Loss 2.8434 (3.2598) Prec@1 33.984 (31.133) Prec@5 64.062 (56.599)
Epoch: [5][1380/5005] Time 0.463 (0.466) Data 0.000 (0.004) Loss 3.1494 (3.2600) Prec@1 33.594 (31.137) Prec@5 59.375 (56.602)
Epoch: [5][1390/5005] Time 0.453 (0.466) Data 0.000 (0.004) Loss 3.0469 (3.2599) Prec@1 37.109 (31.141) Prec@5 59.375 (56.602)
Epoch: [5][1400/5005] Time 0.460 (0.466) Data 0.000 (0.004) Loss 3.0865 (3.2595) Prec@1 33.203 (31.145) Prec@5 61.719 (56.609)
Epoch: [5][1410/5005] Time 0.456 (0.466) Data 0.000 (0.004) Loss 3.1570 (3.2595) Prec@1 35.547 (31.155) Prec@5 57.422 (56.610)
Epoch: [5][1420/5005] Time 0.464 (0.466) Data 0.000 (0.004) Loss 2.9626 (3.2587) Prec@1 35.156 (31.176) Prec@5 58.984 (56.627)
Epoch: [5][1430/5005] Time 0.459 (0.465) Data 0.000 (0.004) Loss 3.3910 (3.2587) Prec@1 28.906 (31.174) Prec@5 52.344 (56.620)
Epoch: [5][1440/5005] Time 0.464 (0.465) Data 0.000 (0.004) Loss 3.0857 (3.2585) Prec@1 33.203 (31.180) Prec@5 57.422 (56.623)
Epoch: [5][1450/5005] Time 0.460 (0.465) Data 0.000 (0.004) Loss 3.2602 (3.2586) Prec@1 33.203 (31.182) Prec@5 57.812 (56.630)
Epoch: [5][1460/5005] Time 0.461 (0.465) Data 0.000 (0.004) Loss 3.2538 (3.2583) Prec@1 33.203 (31.189) Prec@5 58.203 (56.638)
Epoch: [5][1470/5005] Time 0.462 (0.465) Data 0.000 (0.004) Loss 3.4434 (3.2584) Prec@1 26.172 (31.187) Prec@5 55.469 (56.643)
Epoch: [5][1480/5005] Time 0.453 (0.465) Data 0.000 (0.004) Loss 3.3896 (3.2582) Prec@1 28.516 (31.187) Prec@5 53.125 (56.641)
Epoch: [5][1490/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.1210 (3.2580) Prec@1 32.031 (31.191) Prec@5 60.156 (56.644)
Epoch: [5][1500/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.3754 (3.2574) Prec@1 28.516 (31.206) Prec@5 51.953 (56.651)
Epoch: [5][1510/5005] Time 0.453 (0.465) Data 0.000 (0.003) Loss 3.2739 (3.2573) Prec@1 35.547 (31.206) Prec@5 55.859 (56.650)
Epoch: [5][1520/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.4388 (3.2574) Prec@1 27.344 (31.201) Prec@5 48.438 (56.651)
Epoch: [5][1530/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 3.5095 (3.2578) Prec@1 28.516 (31.198) Prec@5 53.125 (56.643)
Epoch: [5][1540/5005] Time 0.463 (0.465) Data 0.000 (0.003) Loss 3.3137 (3.2574) Prec@1 32.812 (31.208) Prec@5 56.641 (56.651)
Epoch: [5][1550/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 3.2890 (3.2573) Prec@1 21.875 (31.209) Prec@5 55.469 (56.657)
Epoch: [5][1560/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.1378 (3.2569) Prec@1 33.203 (31.216) Prec@5 60.547 (56.668)
Epoch: [5][1570/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.1798 (3.2564) Prec@1 32.812 (31.218) Prec@5 60.156 (56.674)
Epoch: [5][1580/5005] Time 0.463 (0.465) Data 0.000 (0.003) Loss 3.2398 (3.2568) Prec@1 32.031 (31.211) Prec@5 55.469 (56.660)
Epoch: [5][1590/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 3.0847 (3.2565) Prec@1 34.375 (31.217) Prec@5 60.938 (56.662)
Epoch: [5][1600/5005] Time 0.462 (0.465) Data 0.001 (0.003) Loss 3.1584 (3.2563) Prec@1 30.078 (31.217) Prec@5 57.031 (56.662)
Epoch: [5][1610/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 3.2622 (3.2558) Prec@1 32.422 (31.227) Prec@5 55.469 (56.672)
Epoch: [5][1620/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 3.4817 (3.2558) Prec@1 28.125 (31.224) Prec@5 51.953 (56.672)
Epoch: [5][1630/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 3.3147 (3.2562) Prec@1 32.031 (31.224) Prec@5 54.688 (56.664)
Epoch: [5][1640/5005] Time 0.463 (0.465) Data 0.000 (0.003) Loss 3.0958 (3.2561) Prec@1 33.203 (31.227) Prec@5 60.938 (56.668)
Epoch: [5][1650/5005] Time 0.455 (0.465) Data 0.000 (0.003) Loss 3.0514 (3.2558) Prec@1 31.641 (31.236) Prec@5 60.156 (56.679)
Epoch: [5][1660/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.0182 (3.2551) Prec@1 35.156 (31.248) Prec@5 60.938 (56.689)
Epoch: [5][1670/5005] Time 0.465 (0.465) Data 0.000 (0.003) Loss 3.3935 (3.2552) Prec@1 31.250 (31.253) Prec@5 52.734 (56.691)
Epoch: [5][1680/5005] Time 0.455 (0.465) Data 0.000 (0.003) Loss 3.4705 (3.2553) Prec@1 30.469 (31.254) Prec@5 56.250 (56.695)
Epoch: [5][1690/5005] Time 0.465 (0.465) Data 0.000 (0.003) Loss 3.2063 (3.2555) Prec@1 29.688 (31.250) Prec@5 57.031 (56.693)
Epoch: [5][1700/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 3.5408 (3.2559) Prec@1 26.562 (31.251) Prec@5 52.344 (56.684)
Epoch: [5][1710/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 3.2742 (3.2557) Prec@1 33.203 (31.253) Prec@5 56.250 (56.689)
Epoch: [5][1720/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 3.1073 (3.2551) Prec@1 30.078 (31.263) Prec@5 60.547 (56.703)
Epoch: [5][1730/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 3.3249 (3.2550) Prec@1 28.906 (31.269) Prec@5 54.688 (56.707)
Epoch: [5][1740/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 3.1460 (3.2545) Prec@1 35.547 (31.270) Prec@5 60.156 (56.720)
Epoch: [5][1750/5005] Time 0.452 (0.464) Data 0.000 (0.003) Loss 3.2420 (3.2544) Prec@1 30.469 (31.270) Prec@5 57.812 (56.728)
Epoch: [5][1760/5005] Time 0.463 (0.464) Data 0.000 (0.003) Loss 3.1812 (3.2538) Prec@1 35.156 (31.287) Prec@5 59.766 (56.739)
Epoch: [5][1770/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 3.3212 (3.2535) Prec@1 29.688 (31.293) Prec@5 56.250 (56.742)
Epoch: [5][1780/5005] Time 0.463 (0.464) Data 0.000 (0.003) Loss 3.1496 (3.2531) Prec@1 31.641 (31.297) Prec@5 58.984 (56.746)
Epoch: [5][1790/5005] Time 0.453 (0.464) Data 0.000 (0.003) Loss 3.2413 (3.2531) Prec@1 29.688 (31.300) Prec@5 57.031 (56.742)
Epoch: [5][1800/5005] Time 0.457 (0.464) Data 0.000 (0.003) Loss 3.0718 (3.2527) Prec@1 33.594 (31.305) Prec@5 60.547 (56.751)
Epoch: [5][1810/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 3.1595 (3.2522) Prec@1 32.812 (31.312) Prec@5 60.938 (56.760)
Epoch: [5][1820/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 3.5305 (3.2521) Prec@1 28.906 (31.318) Prec@5 54.297 (56.764)
Epoch: [5][1830/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 3.2545 (3.2520) Prec@1 31.641 (31.323) Prec@5 57.031 (56.766)
Epoch: [5][1840/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 3.0344 (3.2516) Prec@1 33.594 (31.321) Prec@5 58.203 (56.771)
Epoch: [5][1850/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 3.0601 (3.2515) Prec@1 33.594 (31.324) Prec@5 61.328 (56.773)
Epoch: [5][1860/5005] Time 0.464 (0.464) Data 0.000 (0.003) Loss 3.3879 (3.2517) Prec@1 30.469 (31.326) Prec@5 53.906 (56.770)
Epoch: [5][1870/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.9469 (3.2511) Prec@1 33.594 (31.331) Prec@5 63.672 (56.779)
Epoch: [5][1880/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 3.1692 (3.2509) Prec@1 32.812 (31.337) Prec@5 55.859 (56.782)
Epoch: [5][1890/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 3.2523 (3.2510) Prec@1 28.516 (31.340) Prec@5 60.547 (56.779)
Epoch: [5][1900/5005] Time 0.457 (0.464) Data 0.000 (0.003) Loss 3.3522 (3.2508) Prec@1 26.953 (31.341) Prec@5 57.031 (56.779)
Epoch: [5][1910/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 3.2486 (3.2503) Prec@1 27.344 (31.345) Prec@5 59.375 (56.788)
Epoch: [5][1920/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 3.2054 (3.2502) Prec@1 33.594 (31.349) Prec@5 59.766 (56.796)
Epoch: [5][1930/5005] Time 0.454 (0.464) Data 0.000 (0.003) Loss 3.2626 (3.2500) Prec@1 31.250 (31.348) Prec@5 57.031 (56.804)
Epoch: [5][1940/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 3.0686 (3.2497) Prec@1 32.031 (31.358) Prec@5 60.156 (56.808)
Epoch: [5][1950/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 3.2620 (3.2500) Prec@1 30.859 (31.355) Prec@5 57.031 (56.800)
Epoch: [5][1960/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 3.0959 (3.2497) Prec@1 36.328 (31.358) Prec@5 60.156 (56.805)
Epoch: [5][1970/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 3.1058 (3.2492) Prec@1 35.547 (31.367) Prec@5 57.031 (56.814)
Epoch: [5][1980/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 3.1138 (3.2486) Prec@1 30.859 (31.373) Prec@5 55.859 (56.823)
Epoch: [5][1990/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 3.2534 (3.2484) Prec@1 31.250 (31.372) Prec@5 55.078 (56.825)
Epoch: [5][2000/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 3.3747 (3.2480) Prec@1 23.828 (31.376) Prec@5 55.078 (56.830)
Epoch: [5][2010/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 3.0515 (3.2477) Prec@1 35.547 (31.376) Prec@5 66.406 (56.840)
Epoch: [5][2020/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 3.4046 (3.2476) Prec@1 32.031 (31.378) Prec@5 53.125 (56.845)
Epoch: [5][2030/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 3.2998 (3.2476) Prec@1 29.688 (31.377) Prec@5 58.984 (56.846)
Epoch: [5][2040/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 3.1577 (3.2471) Prec@1 33.594 (31.390) Prec@5 60.547 (56.856)
Epoch: [5][2050/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 3.1496 (3.2468) Prec@1 31.250 (31.392) Prec@5 57.812 (56.863)
Epoch: [5][2060/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 3.1290 (3.2467) Prec@1 35.547 (31.396) Prec@5 60.547 (56.863)
Epoch: [5][2070/5005] Time 0.454 (0.464) Data 0.001 (0.003) Loss 3.1137 (3.2463) Prec@1 35.547 (31.398) Prec@5 56.250 (56.872)
Epoch: [5][2080/5005] Time 0.460 (0.463) Data 0.000 (0.003) Loss 3.3827 (3.2461) Prec@1 28.125 (31.400) Prec@5 50.000 (56.872)
Epoch: [5][2090/5005] Time 0.456 (0.463) Data 0.000 (0.003) Loss 3.1525 (3.2458) Prec@1 28.516 (31.408) Prec@5 58.203 (56.878)
Epoch: [5][2100/5005] Time 0.458 (0.463) Data 0.000 (0.003) Loss 3.2841 (3.2458) Prec@1 30.078 (31.406) Prec@5 55.078 (56.877)
Epoch: [5][2110/5005] Time 0.454 (0.463) Data 0.000 (0.003) Loss 3.3276 (3.2457) Prec@1 28.906 (31.407) Prec@5 55.078 (56.877)
Epoch: [5][2120/5005] Time 0.454 (0.463) Data 0.000 (0.003) Loss 3.0585 (3.2457) Prec@1 35.156 (31.416) Prec@5 61.328 (56.878)
Epoch: [5][2130/5005] Time 0.462 (0.463) Data 0.000 (0.003) Loss 3.2067 (3.2454) Prec@1 33.203 (31.425) Prec@5 58.594 (56.885)
Epoch: [5][2140/5005] Time 0.454 (0.463) Data 0.000 (0.003) Loss 3.1342 (3.2456) Prec@1 32.422 (31.422) Prec@5 61.328 (56.879)
Epoch: [5][2150/5005] Time 0.451 (0.463) Data 0.000 (0.003) Loss 3.4909 (3.2453) Prec@1 24.219 (31.423) Prec@5 51.953 (56.877)
Epoch: [5][2160/5005] Time 0.460 (0.463) Data 0.000 (0.003) Loss 3.2395 (3.2453) Prec@1 28.125 (31.420) Prec@5 53.125 (56.874)
Epoch: [5][2170/5005] Time 0.461 (0.463) Data 0.000 (0.003) Loss 3.3991 (3.2453) Prec@1 27.734 (31.418) Prec@5 51.562 (56.868)
Epoch: [5][2180/5005] Time 0.462 (0.463) Data 0.000 (0.003) Loss 3.1484 (3.2451) Prec@1 33.984 (31.418) Prec@5 58.203 (56.868)
Epoch: [5][2190/5005] Time 0.457 (0.463) Data 0.000 (0.003) Loss 3.1129 (3.2450) Prec@1 30.859 (31.421) Prec@5 59.766 (56.872)
Epoch: [5][2200/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.2404 (3.2448) Prec@1 30.078 (31.425) Prec@5 57.422 (56.874)
Epoch: [5][2210/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.1308 (3.2445) Prec@1 35.156 (31.427) Prec@5 57.812 (56.874)
Epoch: [5][2220/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.1145 (3.2441) Prec@1 34.375 (31.433) Prec@5 60.156 (56.880)
Epoch: [5][2230/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.2533 (3.2437) Prec@1 31.250 (31.442) Prec@5 57.031 (56.887)
Epoch: [5][2240/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.1283 (3.2435) Prec@1 37.109 (31.449) Prec@5 57.031 (56.886)
Epoch: [5][2250/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.1332 (3.2432) Prec@1 31.641 (31.457) Prec@5 59.766 (56.891)
Epoch: [5][2260/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 3.2676 (3.2431) Prec@1 32.031 (31.455) Prec@5 57.812 (56.889)
Epoch: [5][2270/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 3.1938 (3.2428) Prec@1 27.734 (31.456) Prec@5 52.734 (56.890)
Epoch: [5][2280/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.3134 (3.2428) Prec@1 30.078 (31.460) Prec@5 55.859 (56.889)
Epoch: [5][2290/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.1198 (3.2426) Prec@1 31.641 (31.463) Prec@5 55.078 (56.890)
Epoch: [5][2300/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.0537 (3.2421) Prec@1 31.641 (31.466) Prec@5 62.109 (56.898)
Epoch: [5][2310/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.9429 (3.2417) Prec@1 36.328 (31.469) Prec@5 62.891 (56.907)
Epoch: [5][2320/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.2783 (3.2416) Prec@1 27.734 (31.467) Prec@5 57.422 (56.906)
Epoch: [5][2330/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.3709 (3.2412) Prec@1 28.125 (31.476) Prec@5 53.125 (56.913)
Epoch: [5][2340/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.5181 (3.2411) Prec@1 26.953 (31.481) Prec@5 53.906 (56.913)
Epoch: [5][2350/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 2.9444 (3.2409) Prec@1 36.328 (31.487) Prec@5 62.891 (56.921)
Epoch: [5][2360/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 3.3348 (3.2408) Prec@1 28.516 (31.491) Prec@5 55.859 (56.922)
Epoch: [5][2370/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.1913 (3.2403) Prec@1 29.297 (31.496) Prec@5 54.297 (56.929)
Epoch: [5][2380/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.2215 (3.2405) Prec@1 28.906 (31.491) Prec@5 55.078 (56.921)
Epoch: [5][2390/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.2858 (3.2403) Prec@1 31.641 (31.497) Prec@5 57.812 (56.925)
Epoch: [5][2400/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.3031 (3.2402) Prec@1 29.297 (31.498) Prec@5 59.375 (56.927)
Epoch: [5][2410/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.0681 (3.2398) Prec@1 34.375 (31.501) Prec@5 59.766 (56.934)
Epoch: [5][2420/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 3.4270 (3.2395) Prec@1 33.984 (31.506) Prec@5 54.688 (56.938)
Epoch: [5][2430/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.1721 (3.2392) Prec@1 32.422 (31.510) Prec@5 58.203 (56.941)
Epoch: [5][2440/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.4171 (3.2390) Prec@1 30.078 (31.514) Prec@5 55.469 (56.941)
Epoch: [5][2450/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 3.4655 (3.2388) Prec@1 30.078 (31.522) Prec@5 53.125 (56.950)
Epoch: [5][2460/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.3282 (3.2386) Prec@1 31.641 (31.525) Prec@5 55.469 (56.956)
Epoch: [5][2470/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.9922 (3.2379) Prec@1 35.156 (31.538) Prec@5 60.156 (56.971)
Epoch: [5][2480/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.1189 (3.2377) Prec@1 35.938 (31.543) Prec@5 57.031 (56.975)
Epoch: [5][2490/5005] Time 0.459 (0.463) Data 0.001 (0.002) Loss 3.1416 (3.2377) Prec@1 34.375 (31.549) Prec@5 56.641 (56.973)
Epoch: [5][2500/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.3131 (3.2377) Prec@1 33.203 (31.551) Prec@5 55.078 (56.976)
Epoch: [5][2510/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 3.0761 (3.2376) Prec@1 33.203 (31.552) Prec@5 62.109 (56.983)
Epoch: [5][2520/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.3221 (3.2371) Prec@1 32.812 (31.561) Prec@5 58.984 (56.995)
Epoch: [5][2530/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 3.1834 (3.2371) Prec@1 30.078 (31.559) Prec@5 59.375 (56.999)
Epoch: [5][2540/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.4317 (3.2370) Prec@1 30.078 (31.559) Prec@5 53.516 (57.002)
Epoch: [5][2550/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.0713 (3.2371) Prec@1 31.250 (31.553) Prec@5 60.156 (56.999)
Epoch: [5][2560/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 3.1796 (3.2370) Prec@1 32.812 (31.556) Prec@5 57.422 (57.003)
Epoch: [5][2570/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.2129 (3.2366) Prec@1 32.422 (31.564) Prec@5 57.422 (57.006)
Epoch: [5][2580/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.3395 (3.2363) Prec@1 28.906 (31.571) Prec@5 53.125 (57.008)
Epoch: [5][2590/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.3695 (3.2363) Prec@1 27.734 (31.573) Prec@5 57.422 (57.014)
Epoch: [5][2600/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.8672 (3.2361) Prec@1 39.062 (31.574) Prec@5 62.891 (57.020)
Epoch: [5][2610/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.4155 (3.2360) Prec@1 28.906 (31.578) Prec@5 53.516 (57.022)
Epoch: [5][2620/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.1198 (3.2358) Prec@1 33.203 (31.580) Prec@5 57.031 (57.025)
Epoch: [5][2630/5005] Time 0.451 (0.463) Data 0.000 (0.002) Loss 3.0099 (3.2357) Prec@1 34.766 (31.582) Prec@5 60.547 (57.026)
Epoch: [5][2640/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.0763 (3.2355) Prec@1 31.641 (31.589) Prec@5 60.547 (57.030)
Epoch: [5][2650/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.2190 (3.2350) Prec@1 32.422 (31.595) Prec@5 54.688 (57.039)
Epoch: [5][2660/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.4789 (3.2351) Prec@1 29.297 (31.595) Prec@5 51.953 (57.038)
Epoch: [5][2670/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.2699 (3.2349) Prec@1 30.078 (31.598) Prec@5 55.078 (57.041)
Epoch: [5][2680/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0779 (3.2350) Prec@1 35.156 (31.598) Prec@5 57.422 (57.040)
Epoch: [5][2690/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.1600 (3.2347) Prec@1 30.859 (31.605) Prec@5 58.984 (57.048)
Epoch: [5][2700/5005] Time 0.466 (0.462) Data 0.000 (0.002) Loss 3.2997 (3.2346) Prec@1 33.594 (31.611) Prec@5 54.688 (57.050)
Epoch: [5][2710/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 3.2524 (3.2348) Prec@1 31.641 (31.612) Prec@5 59.766 (57.049)
Epoch: [5][2720/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.3431 (3.2348) Prec@1 27.734 (31.609) Prec@5 53.906 (57.049)
Epoch: [5][2730/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.0865 (3.2343) Prec@1 39.453 (31.618) Prec@5 58.984 (57.059)
Epoch: [5][2740/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.1265 (3.2340) Prec@1 31.250 (31.617) Prec@5 61.328 (57.064)
Epoch: [5][2750/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.0756 (3.2337) Prec@1 33.594 (31.623) Prec@5 60.156 (57.070)
Epoch: [5][2760/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.6493 (3.2336) Prec@1 23.438 (31.625) Prec@5 50.000 (57.071)
Epoch: [5][2770/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0562 (3.2334) Prec@1 34.375 (31.633) Prec@5 59.375 (57.077)
Epoch: [5][2780/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.4218 (3.2329) Prec@1 32.031 (31.641) Prec@5 55.078 (57.091)
Epoch: [5][2790/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.1376 (3.2324) Prec@1 34.375 (31.646) Prec@5 59.766 (57.098)
Epoch: [5][2800/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.1029 (3.2324) Prec@1 32.812 (31.644) Prec@5 57.422 (57.097)
Epoch: [5][2810/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.8872 (3.2320) Prec@1 35.156 (31.648) Prec@5 63.672 (57.104)
Epoch: [5][2820/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.2978 (3.2316) Prec@1 33.984 (31.659) Prec@5 58.203 (57.113)
Epoch: [5][2830/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.9329 (3.2311) Prec@1 35.156 (31.664) Prec@5 62.109 (57.122)
Epoch: [5][2840/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.0572 (3.2308) Prec@1 33.594 (31.670) Prec@5 62.891 (57.129)
Epoch: [5][2850/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.1815 (3.2308) Prec@1 33.203 (31.667) Prec@5 55.078 (57.131)
Epoch: [5][2860/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.2076 (3.2304) Prec@1 30.469 (31.671) Prec@5 55.078 (57.137)
Epoch: [5][2870/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.1061 (3.2303) Prec@1 29.688 (31.673) Prec@5 60.547 (57.136)
Epoch: [5][2880/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.2196 (3.2300) Prec@1 30.859 (31.678) Prec@5 55.469 (57.141)
Epoch: [5][2890/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.5342 (3.2302) Prec@1 27.734 (31.679) Prec@5 51.562 (57.136)
Epoch: [5][2900/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0097 (3.2298) Prec@1 31.641 (31.685) Prec@5 57.812 (57.142)
Epoch: [5][2910/5005] Time 0.451 (0.462) Data 0.000 (0.002) Loss 3.1272 (3.2296) Prec@1 30.469 (31.690) Prec@5 58.594 (57.145)
Epoch: [5][2920/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.1973 (3.2296) Prec@1 32.812 (31.696) Prec@5 57.422 (57.145)
Epoch: [5][2930/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0801 (3.2294) Prec@1 31.641 (31.699) Prec@5 58.984 (57.152)
Epoch: [5][2940/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.2062 (3.2291) Prec@1 29.297 (31.702) Prec@5 57.812 (57.157)
Epoch: [5][2950/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.4055 (3.2290) Prec@1 30.078 (31.705) Prec@5 51.562 (57.159)
Epoch: [5][2960/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.0649 (3.2287) Prec@1 36.328 (31.708) Prec@5 61.719 (57.161)
Epoch: [5][2970/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.3044 (3.2288) Prec@1 30.469 (31.710) Prec@5 53.516 (57.160)
Epoch: [5][2980/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0643 (3.2287) Prec@1 34.375 (31.713) Prec@5 59.766 (57.164)
Epoch: [5][2990/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.6639 (3.2286) Prec@1 42.188 (31.715) Prec@5 67.969 (57.165)
Epoch: [5][3000/5005] Time 0.450 (0.462) Data 0.000 (0.002) Loss 3.0166 (3.2283) Prec@1 33.984 (31.722) Prec@5 61.328 (57.173)
Epoch: [5][3010/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 3.1878 (3.2282) Prec@1 34.375 (31.726) Prec@5 57.031 (57.176)
Epoch: [5][3020/5005] Time 0.451 (0.462) Data 0.000 (0.002) Loss 3.0562 (3.2279) Prec@1 35.156 (31.735) Prec@5 61.328 (57.185)
Epoch: [5][3030/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.2537 (3.2276) Prec@1 29.688 (31.737) Prec@5 56.641 (57.193)
Epoch: [5][3040/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.1874 (3.2273) Prec@1 31.250 (31.741) Prec@5 56.641 (57.196)
Epoch: [5][3050/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.3692 (3.2271) Prec@1 29.688 (31.744) Prec@5 55.469 (57.200)
Epoch: [5][3060/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.3017 (3.2268) Prec@1 30.078 (31.750) Prec@5 55.469 (57.202)
Epoch: [5][3070/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.2794 (3.2265) Prec@1 31.641 (31.755) Prec@5 56.641 (57.206)
Epoch: [5][3080/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0974 (3.2262) Prec@1 36.328 (31.759) Prec@5 58.594 (57.210)
Epoch: [5][3090/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.0232 (3.2261) Prec@1 33.984 (31.759) Prec@5 59.375 (57.210)
Epoch: [5][3100/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.9911 (3.2260) Prec@1 35.547 (31.763) Prec@5 62.109 (57.211)
Epoch: [5][3110/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.1784 (3.2259) Prec@1 33.594 (31.769) Prec@5 60.156 (57.214)
Epoch: [5][3120/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.0867 (3.2258) Prec@1 33.594 (31.772) Prec@5 60.156 (57.217)
Epoch: [5][3130/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0833 (3.2254) Prec@1 35.156 (31.780) Prec@5 57.031 (57.229)
Epoch: [5][3140/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.1538 (3.2253) Prec@1 32.422 (31.781) Prec@5 59.375 (57.230)
Epoch: [5][3150/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.3048 (3.2252) Prec@1 28.906 (31.783) Prec@5 57.031 (57.232)
Epoch: [5][3160/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.7923 (3.2249) Prec@1 41.016 (31.791) Prec@5 64.453 (57.237)
Epoch: [5][3170/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.1582 (3.2247) Prec@1 32.812 (31.794) Prec@5 57.422 (57.242)
Epoch: [5][3180/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.9101 (3.2244) Prec@1 38.281 (31.802) Prec@5 60.156 (57.246)
Epoch: [5][3190/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.2633 (3.2240) Prec@1 32.031 (31.805) Prec@5 58.203 (57.253)
Epoch: [5][3200/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.2076 (3.2239) Prec@1 28.125 (31.803) Prec@5 55.859 (57.253)
Epoch: [5][3210/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.0917 (3.2238) Prec@1 34.375 (31.804) Prec@5 61.719 (57.259)
Epoch: [5][3220/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.2001 (3.2237) Prec@1 32.422 (31.807) Prec@5 60.156 (57.263)
Epoch: [5][3230/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.1282 (3.2236) Prec@1 35.938 (31.808) Prec@5 58.984 (57.264)
Epoch: [5][3240/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.0263 (3.2234) Prec@1 35.156 (31.812) Prec@5 63.672 (57.271)
Epoch: [5][3250/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.0899 (3.2232) Prec@1 33.203 (31.812) Prec@5 58.594 (57.274)
Epoch: [5][3260/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.3152 (3.2232) Prec@1 31.250 (31.815) Prec@5 53.516 (57.273)
Epoch: [5][3270/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 3.3769 (3.2232) Prec@1 26.562 (31.816) Prec@5 52.734 (57.273)
Epoch: [5][3280/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.1530 (3.2229) Prec@1 31.641 (31.820) Prec@5 56.250 (57.280)
Epoch: [5][3290/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.9247 (3.2225) Prec@1 37.109 (31.825) Prec@5 63.281 (57.285)
Epoch: [5][3300/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.2921 (3.2225) Prec@1 28.516 (31.826) Prec@5 54.688 (57.284)
Epoch: [5][3310/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.1576 (3.2222) Prec@1 32.422 (31.830) Prec@5 57.031 (57.289)
Epoch: [5][3320/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.1962 (3.2219) Prec@1 34.766 (31.832) Prec@5 55.469 (57.295)
Epoch: [5][3330/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.2416 (3.2219) Prec@1 32.031 (31.832) Prec@5 56.641 (57.296)
Epoch: [5][3340/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.4467 (3.2218) Prec@1 29.688 (31.831) Prec@5 52.344 (57.299)
Epoch: [5][3350/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.1296 (3.2217) Prec@1 35.547 (31.835) Prec@5 58.594 (57.300)
Epoch: [5][3360/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.0585 (3.2218) Prec@1 32.812 (31.834) Prec@5 62.500 (57.301)
Epoch: [5][3370/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.1101 (3.2214) Prec@1 35.156 (31.839) Prec@5 57.422 (57.307)
Epoch: [5][3380/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.1514 (3.2213) Prec@1 35.547 (31.839) Prec@5 58.594 (57.309)
Epoch: [5][3390/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.0678 (3.2212) Prec@1 36.328 (31.842) Prec@5 57.031 (57.310)
Epoch: [5][3400/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.3414 (3.2209) Prec@1 29.688 (31.844) Prec@5 56.641 (57.314)
Epoch: [5][3410/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.2977 (3.2210) Prec@1 30.469 (31.844) Prec@5 57.031 (57.316)
Epoch: [5][3420/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.9509 (3.2206) Prec@1 35.938 (31.851) Prec@5 61.719 (57.321)
Epoch: [5][3430/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.9827 (3.2206) Prec@1 35.156 (31.852) Prec@5 63.672 (57.320)
Epoch: [5][3440/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.2761 (3.2207) Prec@1 36.328 (31.853) Prec@5 55.078 (57.320)
Epoch: [5][3450/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.3106 (3.2205) Prec@1 32.812 (31.859) Prec@5 55.469 (57.323)
Epoch: [5][3460/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 3.2936 (3.2204) Prec@1 33.594 (31.859) Prec@5 55.078 (57.324)
Epoch: [5][3470/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.4284 (3.2205) Prec@1 28.125 (31.857) Prec@5 59.375 (57.326)
Epoch: [5][3480/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.0000 (3.2203) Prec@1 34.375 (31.863) Prec@5 62.109 (57.333)
Epoch: [5][3490/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0785 (3.2202) Prec@1 31.250 (31.860) Prec@5 62.500 (57.334)
Epoch: [5][3500/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.2848 (3.2198) Prec@1 32.422 (31.868) Prec@5 54.688 (57.341)
Epoch: [5][3510/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.2218 (3.2197) Prec@1 32.812 (31.870) Prec@5 58.984 (57.346)
Epoch: [5][3520/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.3500 (3.2196) Prec@1 30.859 (31.869) Prec@5 55.859 (57.347)
Epoch: [5][3530/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.3433 (3.2197) Prec@1 33.203 (31.871) Prec@5 54.688 (57.345)
Epoch: [5][3540/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.0236 (3.2195) Prec@1 34.375 (31.876) Prec@5 60.938 (57.348)
Epoch: [5][3550/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.1634 (3.2193) Prec@1 37.891 (31.882) Prec@5 59.375 (57.354)
Epoch: [5][3560/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0111 (3.2189) Prec@1 34.766 (31.888) Prec@5 62.109 (57.362)
Epoch: [5][3570/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.2893 (3.2187) Prec@1 32.812 (31.893) Prec@5 52.734 (57.366)
Epoch: [5][3580/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.3489 (3.2187) Prec@1 33.984 (31.894) Prec@5 54.688 (57.365)
Epoch: [5][3590/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.3154 (3.2185) Prec@1 30.078 (31.900) Prec@5 54.297 (57.367)
Epoch: [5][3600/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.3199 (3.2185) Prec@1 32.422 (31.902) Prec@5 54.688 (57.367)
Epoch: [5][3610/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.1812 (3.2184) Prec@1 31.641 (31.903) Prec@5 57.812 (57.368)
Epoch: [5][3620/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.0815 (3.2182) Prec@1 31.641 (31.907) Prec@5 55.859 (57.368)
Epoch: [5][3630/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 3.1954 (3.2180) Prec@1 32.422 (31.909) Prec@5 57.812 (57.374)
Epoch: [5][3640/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.9574 (3.2176) Prec@1 35.547 (31.915) Prec@5 58.203 (57.378)
Epoch: [5][3650/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.3781 (3.2174) Prec@1 32.031 (31.919) Prec@5 56.641 (57.385)
Epoch: [5][3660/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.0883 (3.2173) Prec@1 32.422 (31.923) Prec@5 55.859 (57.388)
Epoch: [5][3670/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.1777 (3.2173) Prec@1 33.984 (31.926) Prec@5 57.422 (57.388)
Epoch: [5][3680/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.0460 (3.2170) Prec@1 31.641 (31.927) Prec@5 60.938 (57.391)
Epoch: [5][3690/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.1390 (3.2170) Prec@1 33.203 (31.928) Prec@5 56.641 (57.392)
Epoch: [5][3700/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.1613 (3.2168) Prec@1 26.953 (31.931) Prec@5 62.109 (57.399)
Epoch: [5][3710/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 3.5031 (3.2166) Prec@1 27.734 (31.932) Prec@5 50.781 (57.403)
Epoch: [5][3720/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.8927 (3.2162) Prec@1 33.984 (31.936) Prec@5 62.891 (57.408)
Epoch: [5][3730/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 3.3380 (3.2160) Prec@1 30.469 (31.938) Prec@5 55.859 (57.412)
Epoch: [5][3740/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 3.2073 (3.2158) Prec@1 32.422 (31.942) Prec@5 58.203 (57.415)
Epoch: [5][3750/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 3.0578 (3.2157) Prec@1 33.594 (31.942) Prec@5 58.984 (57.417)
Epoch: [5][3760/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.9611 (3.2154) Prec@1 38.281 (31.950) Prec@5 58.984 (57.422)
Epoch: [5][3770/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 3.2156 (3.2154) Prec@1 33.203 (31.950) Prec@5 59.766 (57.423)
Epoch: [5][3780/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.8669 (3.2152) Prec@1 36.328 (31.955) Prec@5 63.281 (57.427)
Epoch: [5][3790/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.9469 (3.2150) Prec@1 38.672 (31.959) Prec@5 61.328 (57.429)
Epoch: [5][3800/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 3.0110 (3.2148) Prec@1 35.156 (31.964) Prec@5 62.500 (57.435)
Epoch: [5][3810/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.0210 (3.2147) Prec@1 32.422 (31.964) Prec@5 59.766 (57.436)
Epoch: [5][3820/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.1808 (3.2143) Prec@1 31.250 (31.970) Prec@5 56.641 (57.440)
Epoch: [5][3830/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.2646 (3.2140) Prec@1 30.469 (31.975) Prec@5 55.078 (57.441)
Epoch: [5][3840/5005] Time 0.449 (0.461) Data 0.000 (0.002) Loss 3.2139 (3.2139) Prec@1 29.688 (31.976) Prec@5 57.812 (57.444)
Epoch: [5][3850/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.9638 (3.2135) Prec@1 35.938 (31.980) Prec@5 61.328 (57.449)
Epoch: [5][3860/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 3.1532 (3.2133) Prec@1 36.328 (31.985) Prec@5 57.812 (57.452)
Epoch: [5][3870/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 3.1028 (3.2131) Prec@1 33.203 (31.988) Prec@5 53.906 (57.454)
Epoch: [5][3880/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 3.1490 (3.2128) Prec@1 32.422 (31.993) Prec@5 59.766 (57.458)
Epoch: [5][3890/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 3.2557 (3.2125) Prec@1 33.203 (31.997) Prec@5 56.641 (57.462)
Epoch: [5][3900/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 3.3312 (3.2124) Prec@1 29.297 (31.998) Prec@5 55.469 (57.465)
Epoch: [5][3910/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 3.0802 (3.2123) Prec@1 31.250 (31.999) Prec@5 60.547 (57.467)
Epoch: [5][3920/5005] Time 0.469 (0.461) Data 0.000 (0.002) Loss 3.3603 (3.2121) Prec@1 27.344 (32.003) Prec@5 55.078 (57.470)
Epoch: [5][3930/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 3.0070 (3.2120) Prec@1 31.250 (32.000) Prec@5 59.375 (57.472)
Epoch: [5][3940/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.1128 (3.2118) Prec@1 33.203 (32.003) Prec@5 58.203 (57.473)
Epoch: [5][3950/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 3.1767 (3.2115) Prec@1 32.031 (32.012) Prec@5 57.031 (57.477)
Epoch: [5][3960/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 3.1886 (3.2113) Prec@1 32.812 (32.016) Prec@5 56.250 (57.477)
Epoch: [5][3970/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 3.1198 (3.2112) Prec@1 32.422 (32.017) Prec@5 61.328 (57.479)
Epoch: [5][3980/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 3.1341 (3.2108) Prec@1 31.250 (32.024) Prec@5 58.984 (57.486)
Epoch: [5][3990/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 3.3137 (3.2107) Prec@1 26.562 (32.025) Prec@5 57.422 (57.491)
Epoch: [5][4000/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 3.0962 (3.2103) Prec@1 31.641 (32.027) Prec@5 57.422 (57.498)
Epoch: [5][4010/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.1089 (3.2102) Prec@1 33.984 (32.030) Prec@5 60.156 (57.499)
Epoch: [5][4020/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.9656 (3.2100) Prec@1 35.156 (32.033) Prec@5 62.500 (57.503)
Epoch: [5][4030/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 3.3952 (3.2098) Prec@1 27.734 (32.039) Prec@5 53.125 (57.507)
Epoch: [5][4040/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 3.3061 (3.2096) Prec@1 32.031 (32.039) Prec@5 52.734 (57.508)
Epoch: [5][4050/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 3.1146 (3.2094) Prec@1 35.938 (32.042) Prec@5 58.984 (57.509)
Epoch: [5][4060/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.8701 (3.2090) Prec@1 37.109 (32.046) Prec@5 62.109 (57.514)
Epoch: [5][4070/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.9886 (3.2087) Prec@1 34.375 (32.051) Prec@5 58.984 (57.518)
Epoch: [5][4080/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 3.1653 (3.2086) Prec@1 34.375 (32.052) Prec@5 60.547 (57.519)
Epoch: [5][4090/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.1682 (3.2085) Prec@1 34.375 (32.055) Prec@5 59.375 (57.521)
Epoch: [5][4100/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 3.3460 (3.2083) Prec@1 28.516 (32.055) Prec@5 57.422 (57.527)
Epoch: [5][4110/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 3.0655 (3.2080) Prec@1 33.203 (32.060) Prec@5 62.109 (57.531)
Epoch: [5][4120/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.9380 (3.2077) Prec@1 34.375 (32.065) Prec@5 60.156 (57.538)
Epoch: [5][4130/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.4005 (3.2077) Prec@1 32.422 (32.067) Prec@5 54.297 (57.538)
Epoch: [5][4140/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 3.0237 (3.2075) Prec@1 34.766 (32.071) Prec@5 61.719 (57.543)
Epoch: [5][4150/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.9774 (3.2071) Prec@1 35.156 (32.076) Prec@5 63.281 (57.547)
Epoch: [5][4160/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.9414 (3.2069) Prec@1 38.281 (32.077) Prec@5 60.547 (57.551)
Epoch: [5][4170/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 3.3732 (3.2067) Prec@1 28.516 (32.076) Prec@5 51.953 (57.553)
Epoch: [5][4180/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 3.3212 (3.2064) Prec@1 28.516 (32.079) Prec@5 52.344 (57.563)
Epoch: [5][4190/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 3.2242 (3.2065) Prec@1 31.641 (32.075) Prec@5 56.250 (57.559)
Epoch: [5][4200/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 3.2526 (3.2063) Prec@1 32.422 (32.078) Prec@5 58.203 (57.564)
Epoch: [5][4210/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 3.4593 (3.2060) Prec@1 27.344 (32.081) Prec@5 50.781 (57.569)
Epoch: [5][4220/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 3.0876 (3.2058) Prec@1 34.375 (32.083) Prec@5 60.156 (57.572)
Epoch: [5][4230/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 3.3398 (3.2058) Prec@1 33.984 (32.084) Prec@5 59.375 (57.571)
Epoch: [5][4240/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 3.1725 (3.2057) Prec@1 30.469 (32.085) Prec@5 56.250 (57.570)
Epoch: [5][4250/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 3.4628 (3.2058) Prec@1 30.859 (32.086) Prec@5 51.953 (57.570)
Epoch: [5][4260/5005] Time 0.466 (0.461) Data 0.000 (0.002) Loss 3.2236 (3.2056) Prec@1 32.422 (32.090) Prec@5 56.641 (57.573)
Epoch: [5][4270/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 2.8386 (3.2054) Prec@1 35.938 (32.095) Prec@5 63.672 (57.573)
Epoch: [5][4280/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 3.1064 (3.2052) Prec@1 32.812 (32.097) Prec@5 60.938 (57.578)
Epoch: [5][4290/5005] Time 0.469 (0.461) Data 0.000 (0.001) Loss 3.2038 (3.2050) Prec@1 28.906 (32.099) Prec@5 55.859 (57.580)
Epoch: [5][4300/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 3.1116 (3.2048) Prec@1 30.859 (32.100) Prec@5 53.125 (57.581)
Epoch: [5][4310/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 3.0983 (3.2046) Prec@1 35.547 (32.102) Prec@5 60.156 (57.584)
Epoch: [5][4320/5005] Time 0.467 (0.461) Data 0.000 (0.001) Loss 3.2373 (3.2047) Prec@1 32.812 (32.102) Prec@5 55.469 (57.585)
Epoch: [5][4330/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 3.0657 (3.2045) Prec@1 35.938 (32.106) Prec@5 59.766 (57.589)
Epoch: [5][4340/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.7119 (3.2044) Prec@1 43.750 (32.109) Prec@5 65.234 (57.591)
Epoch: [5][4350/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 3.1558 (3.2043) Prec@1 32.812 (32.111) Prec@5 60.547 (57.592)
Epoch: [5][4360/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 3.0264 (3.2040) Prec@1 33.594 (32.115) Prec@5 61.328 (57.596)
Epoch: [5][4370/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 3.4144 (3.2038) Prec@1 28.125 (32.117) Prec@5 55.078 (57.599)
Epoch: [5][4380/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 3.0265 (3.2036) Prec@1 37.109 (32.121) Prec@5 60.938 (57.605)
Epoch: [5][4390/5005] Time 0.465 (0.461) Data 0.000 (0.001) Loss 3.1602 (3.2035) Prec@1 37.500 (32.121) Prec@5 58.984 (57.607)
Epoch: [5][4400/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 3.1644 (3.2033) Prec@1 33.984 (32.123) Prec@5 54.688 (57.613)
Epoch: [5][4410/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 3.2353 (3.2030) Prec@1 28.516 (32.127) Prec@5 57.422 (57.616)
Epoch: [5][4420/5005] Time 0.465 (0.461) Data 0.000 (0.001) Loss 3.0697 (3.2028) Prec@1 34.766 (32.131) Prec@5 59.375 (57.618)
Epoch: [5][4430/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 2.9267 (3.2026) Prec@1 41.016 (32.135) Prec@5 60.547 (57.621)
Epoch: [5][4440/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 3.0650 (3.2024) Prec@1 32.812 (32.138) Prec@5 58.984 (57.627)
Epoch: [5][4450/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.9978 (3.2022) Prec@1 34.766 (32.141) Prec@5 62.109 (57.629)
Epoch: [5][4460/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 3.1569 (3.2021) Prec@1 33.984 (32.144) Prec@5 57.812 (57.629)
Epoch: [5][4470/5005] Time 0.452 (0.461) Data 0.000 (0.001) Loss 2.9568 (3.2018) Prec@1 35.156 (32.146) Prec@5 62.109 (57.631)
Epoch: [5][4480/5005] Time 0.466 (0.461) Data 0.000 (0.001) Loss 2.7907 (3.2015) Prec@1 39.844 (32.150) Prec@5 64.062 (57.636)
Epoch: [5][4490/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 3.2152 (3.2017) Prec@1 32.422 (32.150) Prec@5 58.594 (57.631)
Epoch: [5][4500/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.9502 (3.2013) Prec@1 35.547 (32.155) Prec@5 63.281 (57.638)
Epoch: [5][4510/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 3.2107 (3.2011) Prec@1 30.469 (32.156) Prec@5 56.641 (57.641)
Epoch: [5][4520/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 3.2336 (3.2010) Prec@1 30.469 (32.157) Prec@5 58.984 (57.643)
Epoch: [5][4530/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 3.0027 (3.2007) Prec@1 38.281 (32.163) Prec@5 58.594 (57.648)
Epoch: [5][4540/5005] Time 0.465 (0.461) Data 0.000 (0.001) Loss 3.1552 (3.2004) Prec@1 32.812 (32.167) Prec@5 57.812 (57.652)
Epoch: [5][4550/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 3.1412 (3.2003) Prec@1 34.375 (32.171) Prec@5 55.469 (57.654)
Epoch: [5][4560/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 3.1548 (3.2001) Prec@1 33.203 (32.172) Prec@5 58.203 (57.659)
Epoch: [5][4570/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 3.1520 (3.1999) Prec@1 32.812 (32.174) Prec@5 60.547 (57.661)
Epoch: [5][4580/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 3.1558 (3.2000) Prec@1 37.500 (32.173) Prec@5 58.203 (57.659)
Epoch: [5][4590/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.8117 (3.1998) Prec@1 36.719 (32.173) Prec@5 65.234 (57.661)
Epoch: [5][4600/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 3.1570 (3.1996) Prec@1 30.469 (32.176) Prec@5 57.031 (57.666)
Epoch: [5][4610/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 3.0275 (3.1995) Prec@1 35.547 (32.175) Prec@5 59.375 (57.668)
Epoch: [5][4620/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 3.2816 (3.1993) Prec@1 32.031 (32.180) Prec@5 57.031 (57.671)
Epoch: [5][4630/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.9579 (3.1991) Prec@1 37.109 (32.184) Prec@5 60.938 (57.677)
Epoch: [5][4640/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 3.0593 (3.1990) Prec@1 32.422 (32.187) Prec@5 62.500 (57.677)
Epoch: [5][4650/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 2.9872 (3.1988) Prec@1 33.984 (32.192) Prec@5 62.109 (57.683)
Epoch: [5][4660/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 3.2283 (3.1985) Prec@1 33.984 (32.199) Prec@5 55.469 (57.686)
Epoch: [5][4670/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.8249 (3.1984) Prec@1 38.672 (32.201) Prec@5 65.234 (57.687)
Epoch: [5][4680/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.9652 (3.1981) Prec@1 37.500 (32.203) Prec@5 61.719 (57.692)
Epoch: [5][4690/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 3.1799 (3.1980) Prec@1 30.469 (32.201) Prec@5 58.984 (57.694)
Epoch: [5][4700/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 3.2583 (3.1979) Prec@1 31.641 (32.205) Prec@5 58.594 (57.696)
Epoch: [5][4710/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.8850 (3.1976) Prec@1 40.625 (32.209) Prec@5 64.062 (57.700)
Epoch: [5][4720/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 3.2469 (3.1974) Prec@1 33.594 (32.214) Prec@5 59.766 (57.705)
Epoch: [5][4730/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 3.0423 (3.1972) Prec@1 32.422 (32.216) Prec@5 59.766 (57.708)
Epoch: [5][4740/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 3.0871 (3.1969) Prec@1 34.375 (32.222) Prec@5 60.156 (57.714)
Epoch: [5][4750/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 3.2796 (3.1967) Prec@1 30.859 (32.227) Prec@5 53.516 (57.717)
Epoch: [5][4760/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 3.0946 (3.1964) Prec@1 32.031 (32.230) Prec@5 57.422 (57.721)
Epoch: [5][4770/5005] Time 0.465 (0.461) Data 0.000 (0.001) Loss 2.7291 (3.1961) Prec@1 42.578 (32.235) Prec@5 66.406 (57.727)
Epoch: [5][4780/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 3.1708 (3.1960) Prec@1 30.859 (32.238) Prec@5 59.766 (57.730)
Epoch: [5][4790/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 3.2373 (3.1957) Prec@1 31.641 (32.243) Prec@5 56.250 (57.734)
Epoch: [5][4800/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 3.2048 (3.1956) Prec@1 31.250 (32.245) Prec@5 57.422 (57.737)
Epoch: [5][4810/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 3.5108 (3.1955) Prec@1 29.297 (32.247) Prec@5 50.781 (57.738)
Epoch: [5][4820/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.8359 (3.1953) Prec@1 35.156 (32.248) Prec@5 67.188 (57.742)
Epoch: [5][4830/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 3.0893 (3.1952) Prec@1 28.516 (32.247) Prec@5 61.328 (57.745)
Epoch: [5][4840/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 3.0585 (3.1949) Prec@1 33.203 (32.252) Prec@5 54.688 (57.748)
Epoch: [5][4850/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 3.1530 (3.1949) Prec@1 38.281 (32.252) Prec@5 56.250 (57.748)
Epoch: [5][4860/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 3.0701 (3.1946) Prec@1 35.938 (32.255) Prec@5 59.375 (57.751)
Epoch: [5][4870/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.9984 (3.1944) Prec@1 34.375 (32.257) Prec@5 61.328 (57.756)
Epoch: [5][4880/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 3.3792 (3.1943) Prec@1 28.516 (32.258) Prec@5 54.297 (57.758)
Epoch: [5][4890/5005] Time 0.450 (0.461) Data 0.000 (0.001) Loss 3.4179 (3.1942) Prec@1 29.297 (32.260) Prec@5 53.906 (57.757)
Epoch: [5][4900/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 3.1946 (3.1941) Prec@1 29.688 (32.262) Prec@5 56.250 (57.758)
Epoch: [5][4910/5005] Time 0.453 (0.461) Data 0.000 (0.001) Loss 2.9700 (3.1938) Prec@1 35.938 (32.266) Prec@5 62.500 (57.767)
Epoch: [5][4920/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 3.2203 (3.1935) Prec@1 32.812 (32.271) Prec@5 57.422 (57.774)
Epoch: [5][4930/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 3.1253 (3.1933) Prec@1 31.641 (32.272) Prec@5 58.203 (57.778)
Epoch: [5][4940/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 3.2723 (3.1932) Prec@1 31.641 (32.275) Prec@5 58.594 (57.782)
Epoch: [5][4950/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 3.2174 (3.1930) Prec@1 35.156 (32.278) Prec@5 57.422 (57.784)
Epoch: [5][4960/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 3.1661 (3.1929) Prec@1 32.812 (32.281) Prec@5 56.250 (57.784)
Epoch: [5][4970/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 3.2156 (3.1927) Prec@1 29.297 (32.283) Prec@5 56.250 (57.786)
Epoch: [5][4980/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 3.2773 (3.1925) Prec@1 35.547 (32.290) Prec@5 57.422 (57.792)
Epoch: [5][4990/5005] Time 0.451 (0.461) Data 0.000 (0.001) Loss 3.2880 (3.1925) Prec@1 33.984 (32.294) Prec@5 56.250 (57.793)
Epoch: [5][5000/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 3.1882 (3.1924) Prec@1 31.250 (32.295) Prec@5 57.422 (57.793)
Test: [0/196] Time 5.537 (5.537) Loss 1.5856 (1.5856) Prec@1 61.719 (61.719) Prec@5 86.328 (86.328)
Test: [10/196] Time 0.149 (0.640) Loss 2.5445 (2.0248) Prec@1 41.406 (52.947) Prec@5 69.922 (77.486)
Test: [20/196] Time 0.156 (0.408) Loss 2.0856 (2.0511) Prec@1 51.562 (52.883) Prec@5 75.781 (76.879)
Test: [30/196] Time 0.151 (0.326) Loss 1.5989 (2.0017) Prec@1 57.031 (53.616) Prec@5 88.281 (77.886)
Test: [40/196] Time 0.151 (0.284) Loss 2.2249 (2.0822) Prec@1 44.922 (49.971) Prec@5 76.562 (76.982)
Test: [50/196] Time 0.150 (0.259) Loss 1.7722 (2.0406) Prec@1 52.344 (50.115) Prec@5 83.203 (78.056)
Test: [60/196] Time 0.150 (0.241) Loss 2.3327 (2.0304) Prec@1 41.797 (50.256) Prec@5 76.172 (78.362)
Test: [70/196] Time 0.155 (0.229) Loss 1.9957 (2.0152) Prec@1 56.250 (50.710) Prec@5 78.906 (78.576)
Test: [80/196] Time 0.150 (0.219) Loss 3.3366 (2.0428) Prec@1 29.688 (50.415) Prec@5 55.078 (78.115)
Test: [90/196] Time 0.152 (0.212) Loss 3.9011 (2.1460) Prec@1 21.094 (48.794) Prec@5 46.484 (76.378)
Test: [100/196] Time 0.148 (0.206) Loss 3.6685 (2.2260) Prec@1 17.578 (47.486) Prec@5 53.516 (75.046)
Test: [110/196] Time 0.198 (0.201) Loss 2.2910 (2.2610) Prec@1 53.906 (47.174) Prec@5 72.656 (74.398)
Test: [120/196] Time 0.149 (0.197) Loss 3.1347 (2.3040) Prec@1 39.062 (46.704) Prec@5 59.766 (73.576)
Test: [130/196] Time 0.152 (0.193) Loss 2.4464 (2.3521) Prec@1 48.438 (45.757) Prec@5 70.703 (72.773)
Test: [140/196] Time 0.151 (0.190) Loss 2.6344 (2.3894) Prec@1 44.531 (45.216) Prec@5 72.266 (72.088)
Test: [150/196] Time 0.150 (0.188) Loss 3.0817 (2.4339) Prec@1 37.500 (44.648) Prec@5 59.375 (71.272)
Test: [160/196] Time 0.150 (0.185) Loss 2.5115 (2.4642) Prec@1 45.312 (44.148) Prec@5 71.875 (70.783)
Test: [170/196] Time 0.148 (0.183) Loss 1.8656 (2.4930) Prec@1 50.000 (43.599) Prec@5 82.422 (70.319)
Test: [180/196] Time 0.148 (0.182) Loss 2.1906 (2.5128) Prec@1 44.531 (43.310) Prec@5 80.469 (70.015)
Test: [190/196] Time 0.148 (0.180) Loss 2.2426 (2.4994) Prec@1 43.359 (43.523) Prec@5 75.391 (70.249)
* Prec@1 43.874 Prec@5 70.524
Epoch: [6][0/5005] Time 4.736 (4.736) Data 4.554 (4.554) Loss 2.9857 (2.9857) Prec@1 35.156 (35.156) Prec@5 60.156 (60.156)
Epoch: [6][10/5005] Time 0.460 (0.851) Data 0.000 (0.414) Loss 3.0782 (3.0352) Prec@1 37.500 (34.553) Prec@5 63.672 (61.044)
Epoch: [6][20/5005] Time 0.448 (0.665) Data 0.000 (0.217) Loss 2.6847 (3.0109) Prec@1 40.234 (35.119) Prec@5 67.969 (61.384)
Epoch: [6][30/5005] Time 0.453 (0.600) Data 0.000 (0.147) Loss 2.9860 (3.0043) Prec@1 35.938 (35.055) Prec@5 60.156 (61.580)
Epoch: [6][40/5005] Time 0.478 (0.568) Data 0.000 (0.111) Loss 3.0831 (3.0103) Prec@1 33.984 (34.870) Prec@5 59.375 (61.328)
Epoch: [6][50/5005] Time 0.454 (0.547) Data 0.000 (0.090) Loss 3.0123 (3.0053) Prec@1 37.500 (35.156) Prec@5 62.109 (61.320)
Epoch: [6][60/5005] Time 0.476 (0.533) Data 0.000 (0.075) Loss 2.6466 (2.9917) Prec@1 41.016 (35.457) Prec@5 66.406 (61.450)
Epoch: [6][70/5005] Time 0.455 (0.523) Data 0.000 (0.065) Loss 2.8975 (2.9913) Prec@1 34.766 (35.464) Prec@5 64.062 (61.378)
Epoch: [6][80/5005] Time 0.468 (0.516) Data 0.000 (0.057) Loss 2.9399 (2.9906) Prec@1 35.938 (35.701) Prec@5 61.328 (61.290)
Epoch: [6][90/5005] Time 0.455 (0.510) Data 0.000 (0.050) Loss 3.1030 (2.9975) Prec@1 33.984 (35.521) Prec@5 57.031 (61.088)
Epoch: [6][100/5005] Time 0.472 (0.505) Data 0.000 (0.045) Loss 3.2397 (3.0083) Prec@1 32.422 (35.369) Prec@5 52.344 (60.895)
Epoch: [6][110/5005] Time 0.472 (0.502) Data 0.000 (0.041) Loss 3.0553 (3.0096) Prec@1 32.422 (35.325) Prec@5 60.938 (60.888)
Epoch: [6][120/5005] Time 0.462 (0.499) Data 0.000 (0.038) Loss 2.9740 (3.0144) Prec@1 33.594 (35.266) Prec@5 61.719 (60.776)
Epoch: [6][130/5005] Time 0.453 (0.496) Data 0.000 (0.035) Loss 3.0093 (3.0162) Prec@1 33.203 (35.162) Prec@5 58.984 (60.648)
Epoch: [6][140/5005] Time 0.455 (0.494) Data 0.000 (0.033) Loss 2.8460 (3.0174) Prec@1 39.844 (35.126) Prec@5 63.281 (60.716)
Epoch: [6][150/5005] Time 0.461 (0.492) Data 0.000 (0.031) Loss 3.0803 (3.0230) Prec@1 36.328 (34.988) Prec@5 57.422 (60.526)
Epoch: [6][160/5005] Time 0.463 (0.490) Data 0.000 (0.029) Loss 3.0862 (3.0271) Prec@1 37.500 (34.965) Prec@5 58.203 (60.462)
Epoch: [6][170/5005] Time 0.476 (0.488) Data 0.000 (0.027) Loss 3.0935 (3.0212) Prec@1 32.422 (34.974) Prec@5 61.328 (60.551)
Epoch: [6][180/5005] Time 0.453 (0.487) Data 0.000 (0.026) Loss 3.1099 (3.0230) Prec@1 32.031 (34.966) Prec@5 58.203 (60.508)
Epoch: [6][190/5005] Time 0.458 (0.486) Data 0.000 (0.024) Loss 3.1720 (3.0223) Prec@1 30.859 (35.001) Prec@5 58.203 (60.490)
Epoch: [6][200/5005] Time 0.468 (0.485) Data 0.000 (0.023) Loss 2.9929 (3.0246) Prec@1 31.250 (34.911) Prec@5 59.766 (60.434)
Epoch: [6][210/5005] Time 0.469 (0.484) Data 0.000 (0.022) Loss 2.9741 (3.0284) Prec@1 35.547 (34.834) Prec@5 60.547 (60.356)
Epoch: [6][220/5005] Time 0.476 (0.483) Data 0.000 (0.021) Loss 2.9433 (3.0305) Prec@1 35.547 (34.792) Prec@5 58.594 (60.315)
Epoch: [6][230/5005] Time 0.440 (0.482) Data 0.000 (0.020) Loss 3.0661 (3.0300) Prec@1 32.031 (34.784) Prec@5 57.812 (60.332)
Epoch: [6][240/5005] Time 0.468 (0.481) Data 0.000 (0.019) Loss 3.0163 (3.0336) Prec@1 34.766 (34.727) Prec@5 62.109 (60.288)
Epoch: [6][250/5005] Time 0.450 (0.481) Data 0.000 (0.019) Loss 2.5012 (3.0336) Prec@1 41.797 (34.755) Prec@5 71.875 (60.278)
Epoch: [6][260/5005] Time 0.478 (0.480) Data 0.000 (0.018) Loss 2.9913 (3.0345) Prec@1 38.281 (34.730) Prec@5 57.812 (60.270)
Epoch: [6][270/5005] Time 0.463 (0.480) Data 0.000 (0.017) Loss 2.9793 (3.0319) Prec@1 38.281 (34.800) Prec@5 62.891 (60.348)
Epoch: [6][280/5005] Time 0.460 (0.479) Data 0.000 (0.017) Loss 2.7829 (3.0327) Prec@1 35.938 (34.763) Prec@5 69.922 (60.320)
Epoch: [6][290/5005] Time 0.454 (0.478) Data 0.000 (0.016) Loss 3.1958 (3.0339) Prec@1 30.078 (34.685) Prec@5 57.422 (60.293)
Epoch: [6][300/5005] Time 0.450 (0.478) Data 0.000 (0.016) Loss 2.8354 (3.0353) Prec@1 34.766 (34.653) Prec@5 62.891 (60.260)
Epoch: [6][310/5005] Time 0.467 (0.477) Data 0.000 (0.015) Loss 3.0823 (3.0345) Prec@1 34.375 (34.640) Prec@5 57.812 (60.277)
Epoch: [6][320/5005] Time 0.462 (0.477) Data 0.000 (0.015) Loss 3.0674 (3.0343) Prec@1 33.203 (34.639) Prec@5 60.547 (60.280)
Epoch: [6][330/5005] Time 0.473 (0.477) Data 0.000 (0.014) Loss 3.0682 (3.0373) Prec@1 32.812 (34.596) Prec@5 61.328 (60.221)
Epoch: [6][340/5005] Time 0.475 (0.476) Data 0.000 (0.014) Loss 3.0758 (3.0397) Prec@1 33.984 (34.575) Prec@5 60.938 (60.171)
Epoch: [6][350/5005] Time 0.454 (0.476) Data 0.000 (0.013) Loss 2.9413 (3.0415) Prec@1 35.547 (34.575) Prec@5 62.891 (60.142)
Epoch: [6][360/5005] Time 0.458 (0.475) Data 0.000 (0.013) Loss 3.0569 (3.0424) Prec@1 33.984 (34.549) Prec@5 59.375 (60.131)
Epoch: [6][370/5005] Time 0.479 (0.475) Data 0.000 (0.013) Loss 2.9257 (3.0408) Prec@1 35.938 (34.605) Prec@5 61.719 (60.166)
Epoch: [6][380/5005] Time 0.475 (0.475) Data 0.000 (0.012) Loss 2.8469 (3.0403) Prec@1 36.719 (34.589) Prec@5 64.453 (60.173)
Epoch: [6][390/5005] Time 0.477 (0.475) Data 0.000 (0.012) Loss 2.8544 (3.0407) Prec@1 38.672 (34.586) Prec@5 65.234 (60.148)
Epoch: [6][400/5005] Time 0.436 (0.474) Data 0.000 (0.012) Loss 3.2116 (3.0411) Prec@1 32.031 (34.603) Prec@5 58.984 (60.152)
Epoch: [6][410/5005] Time 0.473 (0.474) Data 0.000 (0.012) Loss 3.2515 (3.0423) Prec@1 31.641 (34.596) Prec@5 55.078 (60.119)
Epoch: [6][420/5005] Time 0.461 (0.474) Data 0.000 (0.011) Loss 3.0640 (3.0433) Prec@1 33.984 (34.592) Prec@5 57.812 (60.117)
Epoch: [6][430/5005] Time 0.476 (0.474) Data 0.000 (0.011) Loss 3.0074 (3.0458) Prec@1 37.500 (34.569) Prec@5 62.500 (60.080)
Epoch: [6][440/5005] Time 0.453 (0.474) Data 0.000 (0.011) Loss 3.0325 (3.0460) Prec@1 34.375 (34.576) Prec@5 60.938 (60.080)
Epoch: [6][450/5005] Time 0.472 (0.473) Data 0.000 (0.011) Loss 3.0174 (3.0474) Prec@1 32.422 (34.550) Prec@5 65.234 (60.076)
Epoch: [6][460/5005] Time 0.452 (0.473) Data 0.000 (0.010) Loss 3.0705 (3.0481) Prec@1 35.938 (34.533) Prec@5 60.938 (60.083)
Epoch: [6][470/5005] Time 0.459 (0.473) Data 0.000 (0.010) Loss 3.0760 (3.0469) Prec@1 37.109 (34.558) Prec@5 60.156 (60.131)
Epoch: [6][480/5005] Time 0.471 (0.473) Data 0.000 (0.010) Loss 3.1599 (3.0455) Prec@1 30.859 (34.602) Prec@5 55.859 (60.164)
Epoch: [6][490/5005] Time 0.457 (0.472) Data 0.000 (0.010) Loss 3.2616 (3.0449) Prec@1 29.297 (34.614) Prec@5 58.984 (60.182)
Epoch: [6][500/5005] Time 0.477 (0.472) Data 0.000 (0.010) Loss 3.1125 (3.0459) Prec@1 35.547 (34.600) Prec@5 58.984 (60.184)
Epoch: [6][510/5005] Time 0.479 (0.472) Data 0.000 (0.009) Loss 3.0751 (3.0454) Prec@1 38.281 (34.607) Prec@5 60.938 (60.204)
Epoch: [6][520/5005] Time 0.471 (0.472) Data 0.000 (0.009) Loss 3.3486 (3.0449) Prec@1 31.250 (34.589) Prec@5 53.906 (60.231)
Epoch: [6][530/5005] Time 0.470 (0.472) Data 0.000 (0.009) Loss 3.2319 (3.0456) Prec@1 31.250 (34.570) Prec@5 57.812 (60.206)
Epoch: [6][540/5005] Time 0.468 (0.472) Data 0.000 (0.009) Loss 2.9800 (3.0439) Prec@1 31.641 (34.619) Prec@5 60.938 (60.247)
Epoch: [6][550/5005] Time 0.454 (0.471) Data 0.000 (0.009) Loss 3.6014 (3.0444) Prec@1 28.125 (34.622) Prec@5 50.781 (60.249)
Epoch: [6][560/5005] Time 0.449 (0.471) Data 0.000 (0.009) Loss 3.0210 (3.0448) Prec@1 35.547 (34.621) Prec@5 59.375 (60.238)
Epoch: [6][570/5005] Time 0.477 (0.471) Data 0.000 (0.008) Loss 3.0349 (3.0445) Prec@1 34.766 (34.616) Prec@5 56.641 (60.237)
Epoch: [6][580/5005] Time 0.475 (0.471) Data 0.000 (0.008) Loss 2.9343 (3.0446) Prec@1 37.891 (34.619) Prec@5 60.547 (60.232)
Epoch: [6][590/5005] Time 0.473 (0.471) Data 0.000 (0.008) Loss 3.0070 (3.0446) Prec@1 33.984 (34.600) Prec@5 61.328 (60.207)
Epoch: [6][600/5005] Time 0.457 (0.471) Data 0.000 (0.008) Loss 3.1635 (3.0449) Prec@1 33.203 (34.606) Prec@5 58.594 (60.206)
Epoch: [6][610/5005] Time 0.459 (0.471) Data 0.000 (0.008) Loss 3.1627 (3.0445) Prec@1 30.859 (34.601) Prec@5 57.031 (60.223)
Epoch: [6][620/5005] Time 0.452 (0.471) Data 0.000 (0.008) Loss 3.0572 (3.0437) Prec@1 36.328 (34.604) Prec@5 58.594 (60.246)
Epoch: [6][630/5005] Time 0.478 (0.470) Data 0.000 (0.008) Loss 3.1075 (3.0453) Prec@1 31.250 (34.579) Prec@5 60.156 (60.224)
Epoch: [6][640/5005] Time 0.465 (0.470) Data 0.000 (0.008) Loss 2.8759 (3.0444) Prec@1 37.500 (34.577) Prec@5 64.453 (60.257)
Epoch: [6][650/5005] Time 0.469 (0.470) Data 0.000 (0.007) Loss 3.0920 (3.0437) Prec@1 33.594 (34.587) Prec@5 58.203 (60.270)
Epoch: [6][660/5005] Time 0.475 (0.470) Data 0.000 (0.007) Loss 3.1403 (3.0436) Prec@1 33.594 (34.584) Prec@5 59.375 (60.271)
Epoch: [6][670/5005] Time 0.468 (0.470) Data 0.000 (0.007) Loss 3.0298 (3.0439) Prec@1 34.375 (34.575) Prec@5 62.500 (60.269)
Epoch: [6][680/5005] Time 0.455 (0.470) Data 0.000 (0.007) Loss 2.8460 (3.0430) Prec@1 35.547 (34.591) Prec@5 65.234 (60.282)
Epoch: [6][690/5005] Time 0.457 (0.470) Data 0.000 (0.007) Loss 2.8301 (3.0442) Prec@1 41.797 (34.585) Prec@5 64.062 (60.263)
Epoch: [6][700/5005] Time 0.473 (0.470) Data 0.000 (0.007) Loss 3.2909 (3.0447) Prec@1 30.859 (34.576) Prec@5 55.078 (60.254)
Epoch: [6][710/5005] Time 0.482 (0.469) Data 0.000 (0.007) Loss 3.2344 (3.0458) Prec@1 32.422 (34.546) Prec@5 58.594 (60.239)
Epoch: [6][720/5005] Time 0.472 (0.469) Data 0.000 (0.007) Loss 3.0948 (3.0457) Prec@1 32.422 (34.560) Prec@5 60.547 (60.236)
Epoch: [6][730/5005] Time 0.471 (0.469) Data 0.001 (0.007) Loss 3.0903 (3.0455) Prec@1 33.984 (34.561) Prec@5 59.766 (60.252)
Epoch: [6][740/5005] Time 0.453 (0.469) Data 0.000 (0.007) Loss 2.8585 (3.0462) Prec@1 37.500 (34.557) Prec@5 67.969 (60.252)
Epoch: [6][750/5005] Time 0.480 (0.469) Data 0.000 (0.007) Loss 3.1725 (3.0467) Prec@1 37.891 (34.558) Prec@5 58.594 (60.245)
Epoch: [6][760/5005] Time 0.480 (0.469) Data 0.000 (0.006) Loss 3.0439 (3.0471) Prec@1 31.250 (34.554) Prec@5 64.062 (60.253)
Epoch: [6][770/5005] Time 0.454 (0.469) Data 0.000 (0.006) Loss 2.8602 (3.0467) Prec@1 36.328 (34.565) Prec@5 64.453 (60.261)
Epoch: [6][780/5005] Time 0.472 (0.469) Data 0.000 (0.006) Loss 2.9057 (3.0467) Prec@1 36.719 (34.555) Prec@5 60.547 (60.261)
Epoch: [6][790/5005] Time 0.478 (0.469) Data 0.000 (0.006) Loss 3.1468 (3.0480) Prec@1 33.984 (34.543) Prec@5 58.984 (60.236)
Epoch: [6][800/5005] Time 0.452 (0.469) Data 0.000 (0.006) Loss 2.9199 (3.0477) Prec@1 33.984 (34.538) Prec@5 62.500 (60.235)
Epoch: [6][810/5005] Time 0.469 (0.469) Data 0.000 (0.006) Loss 3.1071 (3.0478) Prec@1 32.422 (34.539) Prec@5 59.375 (60.236)
Epoch: [6][820/5005] Time 0.455 (0.469) Data 0.000 (0.006) Loss 3.1770 (3.0475) Prec@1 35.938 (34.544) Prec@5 57.812 (60.250)
Epoch: [6][830/5005] Time 0.474 (0.469) Data 0.000 (0.006) Loss 2.9062 (3.0475) Prec@1 39.062 (34.555) Prec@5 62.500 (60.247)
Epoch: [6][840/5005] Time 0.481 (0.469) Data 0.001 (0.006) Loss 3.1177 (3.0476) Prec@1 34.375 (34.560) Prec@5 58.984 (60.242)
Epoch: [6][850/5005] Time 0.470 (0.468) Data 0.000 (0.006) Loss 3.1657 (3.0465) Prec@1 33.984 (34.575) Prec@5 59.375 (60.256)
Epoch: [6][860/5005] Time 0.463 (0.468) Data 0.000 (0.006) Loss 3.0132 (3.0455) Prec@1 33.203 (34.583) Prec@5 58.203 (60.275)
Epoch: [6][870/5005] Time 0.475 (0.468) Data 0.000 (0.006) Loss 2.7907 (3.0447) Prec@1 35.156 (34.594) Prec@5 62.109 (60.278)
Epoch: [6][880/5005] Time 0.464 (0.468) Data 0.000 (0.006) Loss 2.8423 (3.0451) Prec@1 40.234 (34.598) Prec@5 65.625 (60.283)
Epoch: [6][890/5005] Time 0.473 (0.468) Data 0.000 (0.006) Loss 2.8587 (3.0452) Prec@1 35.938 (34.590) Prec@5 61.719 (60.272)
Epoch: [6][900/5005] Time 0.453 (0.468) Data 0.000 (0.006) Loss 3.3875 (3.0466) Prec@1 29.297 (34.579) Prec@5 55.078 (60.257)
Epoch: [6][910/5005] Time 0.471 (0.468) Data 0.000 (0.005) Loss 3.0483 (3.0468) Prec@1 36.719 (34.583) Prec@5 59.766 (60.249)
Epoch: [6][920/5005] Time 0.465 (0.468) Data 0.000 (0.005) Loss 2.8928 (3.0462) Prec@1 41.406 (34.593) Prec@5 63.672 (60.273)
Epoch: [6][930/5005] Time 0.450 (0.468) Data 0.000 (0.005) Loss 2.9911 (3.0464) Prec@1 36.719 (34.592) Prec@5 61.719 (60.274)
Epoch: [6][940/5005] Time 0.468 (0.468) Data 0.001 (0.005) Loss 3.2882 (3.0469) Prec@1 27.734 (34.578) Prec@5 59.375 (60.278)
Epoch: [6][950/5005] Time 0.476 (0.468) Data 0.000 (0.005) Loss 2.9632 (3.0474) Prec@1 37.109 (34.562) Prec@5 61.719 (60.266)
Epoch: [6][960/5005] Time 0.468 (0.468) Data 0.000 (0.005) Loss 3.0682 (3.0472) Prec@1 36.719 (34.572) Prec@5 60.547 (60.268)
Epoch: [6][970/5005] Time 0.453 (0.468) Data 0.000 (0.005) Loss 2.9334 (3.0469) Prec@1 38.281 (34.577) Prec@5 64.062 (60.271)
Epoch: [6][980/5005] Time 0.451 (0.468) Data 0.000 (0.005) Loss 2.7545 (3.0463) Prec@1 35.547 (34.588) Prec@5 66.016 (60.277)
Epoch: [6][990/5005] Time 0.470 (0.468) Data 0.000 (0.005) Loss 2.8185 (3.0464) Prec@1 38.281 (34.584) Prec@5 62.500 (60.284)
Epoch: [6][1000/5005] Time 0.468 (0.468) Data 0.000 (0.005) Loss 3.3062 (3.0469) Prec@1 28.906 (34.569) Prec@5 56.641 (60.276)
Epoch: [6][1010/5005] Time 0.468 (0.468) Data 0.000 (0.005) Loss 3.0748 (3.0470) Prec@1 33.203 (34.566) Prec@5 60.156 (60.271)
Epoch: [6][1020/5005] Time 0.464 (0.468) Data 0.000 (0.005) Loss 3.3097 (3.0475) Prec@1 30.078 (34.554) Prec@5 53.906 (60.261)
Epoch: [6][1030/5005] Time 0.454 (0.468) Data 0.000 (0.005) Loss 3.1385 (3.0478) Prec@1 32.031 (34.541) Prec@5 61.328 (60.260)
Epoch: [6][1040/5005] Time 0.465 (0.468) Data 0.000 (0.005) Loss 3.0202 (3.0480) Prec@1 32.812 (34.530) Prec@5 57.422 (60.256)
Epoch: [6][1050/5005] Time 0.448 (0.468) Data 0.000 (0.005) Loss 3.0511 (3.0487) Prec@1 33.594 (34.526) Prec@5 62.500 (60.244)
Epoch: [6][1060/5005] Time 0.451 (0.468) Data 0.000 (0.005) Loss 3.1775 (3.0486) Prec@1 31.641 (34.523) Prec@5 59.375 (60.246)
Epoch: [6][1070/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 2.9678 (3.0484) Prec@1 36.328 (34.533) Prec@5 62.109 (60.256)
Epoch: [6][1080/5005] Time 0.452 (0.468) Data 0.000 (0.005) Loss 2.9348 (3.0489) Prec@1 35.547 (34.524) Prec@5 60.547 (60.237)
Epoch: [6][1090/5005] Time 0.457 (0.467) Data 0.000 (0.005) Loss 2.9217 (3.0485) Prec@1 39.453 (34.538) Prec@5 60.938 (60.245)
Epoch: [6][1100/5005] Time 0.453 (0.467) Data 0.000 (0.005) Loss 3.1298 (3.0484) Prec@1 35.547 (34.537) Prec@5 59.375 (60.251)
Epoch: [6][1110/5005] Time 0.476 (0.467) Data 0.000 (0.005) Loss 3.1451 (3.0487) Prec@1 30.469 (34.534) Prec@5 60.156 (60.251)
Epoch: [6][1120/5005] Time 0.446 (0.467) Data 0.000 (0.005) Loss 2.9906 (3.0485) Prec@1 37.500 (34.544) Prec@5 62.109 (60.258)
Epoch: [6][1130/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 3.1515 (3.0482) Prec@1 32.812 (34.553) Prec@5 59.375 (60.273)
Epoch: [6][1140/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 3.2479 (3.0482) Prec@1 30.859 (34.552) Prec@5 58.984 (60.278)
Epoch: [6][1150/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 3.1840 (3.0483) Prec@1 33.594 (34.558) Prec@5 56.641 (60.272)
Epoch: [6][1160/5005] Time 0.467 (0.467) Data 0.000 (0.004) Loss 3.1558 (3.0481) Prec@1 33.984 (34.555) Prec@5 60.547 (60.285)
Epoch: [6][1170/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 3.1496 (3.0477) Prec@1 32.422 (34.559) Prec@5 57.422 (60.293)
Epoch: [6][1180/5005] Time 0.481 (0.467) Data 0.000 (0.004) Loss 3.1891 (3.0474) Prec@1 35.156 (34.570) Prec@5 61.328 (60.305)
Epoch: [6][1190/5005] Time 0.472 (0.467) Data 0.000 (0.004) Loss 3.0922 (3.0473) Prec@1 37.109 (34.577) Prec@5 58.594 (60.299)
Epoch: [6][1200/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 3.1385 (3.0471) Prec@1 33.594 (34.582) Prec@5 59.375 (60.309)
Epoch: [6][1210/5005] Time 0.478 (0.467) Data 0.000 (0.004) Loss 2.9008 (3.0468) Prec@1 34.375 (34.585) Prec@5 65.234 (60.316)
Epoch: [6][1220/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 3.3906 (3.0472) Prec@1 32.031 (34.586) Prec@5 55.469 (60.310)
Epoch: [6][1230/5005] Time 0.462 (0.467) Data 0.000 (0.004) Loss 3.1987 (3.0466) Prec@1 32.812 (34.606) Prec@5 56.250 (60.317)
Epoch: [6][1240/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 2.9789 (3.0464) Prec@1 35.547 (34.614) Prec@5 61.328 (60.320)
Epoch: [6][1250/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 2.7888 (3.0463) Prec@1 36.719 (34.611) Prec@5 62.891 (60.326)
Epoch: [6][1260/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 3.3967 (3.0465) Prec@1 28.516 (34.608) Prec@5 54.297 (60.326)
Epoch: [6][1270/5005] Time 0.450 (0.467) Data 0.000 (0.004) Loss 3.0143 (3.0463) Prec@1 32.812 (34.605) Prec@5 61.328 (60.336)
Epoch: [6][1280/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.9560 (3.0457) Prec@1 38.281 (34.618) Prec@5 62.109 (60.350)
Epoch: [6][1290/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 3.1906 (3.0458) Prec@1 32.422 (34.614) Prec@5 57.422 (60.351)
Epoch: [6][1300/5005] Time 0.476 (0.467) Data 0.000 (0.004) Loss 2.9466 (3.0454) Prec@1 37.891 (34.621) Prec@5 59.766 (60.358)
Epoch: [6][1310/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 3.1121 (3.0456) Prec@1 36.328 (34.621) Prec@5 57.422 (60.348)
Epoch: [6][1320/5005] Time 0.477 (0.467) Data 0.000 (0.004) Loss 2.9684 (3.0455) Prec@1 39.453 (34.625) Prec@5 59.766 (60.351)
Epoch: [6][1330/5005] Time 0.475 (0.467) Data 0.001 (0.004) Loss 3.0677 (3.0447) Prec@1 35.547 (34.639) Prec@5 59.766 (60.372)
Epoch: [6][1340/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 2.8919 (3.0444) Prec@1 32.812 (34.643) Prec@5 60.938 (60.369)
Epoch: [6][1350/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 2.9690 (3.0445) Prec@1 36.719 (34.647) Prec@5 62.500 (60.369)
Epoch: [6][1360/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.9876 (3.0449) Prec@1 31.641 (34.643) Prec@5 60.938 (60.367)
Epoch: [6][1370/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 3.2163 (3.0453) Prec@1 32.812 (34.641) Prec@5 55.469 (60.360)
Epoch: [6][1380/5005] Time 0.447 (0.467) Data 0.000 (0.004) Loss 3.1659 (3.0446) Prec@1 35.938 (34.659) Prec@5 57.031 (60.371)
Epoch: [6][1390/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 2.8912 (3.0447) Prec@1 37.500 (34.656) Prec@5 61.328 (60.367)
Epoch: [6][1400/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 3.1198 (3.0448) Prec@1 32.422 (34.658) Prec@5 58.594 (60.366)
Epoch: [6][1410/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 3.0829 (3.0446) Prec@1 31.250 (34.658) Prec@5 56.250 (60.369)
Epoch: [6][1420/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 3.0112 (3.0449) Prec@1 38.672 (34.662) Prec@5 60.156 (60.367)
Epoch: [6][1430/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 3.0554 (3.0444) Prec@1 30.469 (34.667) Prec@5 58.203 (60.375)
Epoch: [6][1440/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 3.2005 (3.0448) Prec@1 33.594 (34.660) Prec@5 55.078 (60.363)
Epoch: [6][1450/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 3.1094 (3.0444) Prec@1 29.688 (34.666) Prec@5 60.547 (60.371)
Epoch: [6][1460/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 2.8883 (3.0437) Prec@1 36.719 (34.680) Prec@5 62.109 (60.381)
Epoch: [6][1470/5005] Time 0.461 (0.466) Data 0.000 (0.004) Loss 3.1162 (3.0438) Prec@1 34.766 (34.672) Prec@5 61.719 (60.379)
Epoch: [6][1480/5005] Time 0.462 (0.466) Data 0.000 (0.004) Loss 3.2033 (3.0437) Prec@1 30.469 (34.674) Prec@5 60.547 (60.384)
Epoch: [6][1490/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 3.0130 (3.0432) Prec@1 32.812 (34.676) Prec@5 56.641 (60.386)
Epoch: [6][1500/5005] Time 0.460 (0.466) Data 0.000 (0.003) Loss 3.1224 (3.0425) Prec@1 33.203 (34.687) Prec@5 58.594 (60.399)
Epoch: [6][1510/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 3.1191 (3.0428) Prec@1 33.594 (34.679) Prec@5 57.812 (60.394)
Epoch: [6][1520/5005] Time 0.461 (0.466) Data 0.001 (0.003) Loss 3.1639 (3.0422) Prec@1 31.641 (34.688) Prec@5 60.156 (60.402)
Epoch: [6][1530/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 2.7454 (3.0425) Prec@1 42.578 (34.693) Prec@5 65.625 (60.404)
Epoch: [6][1540/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.8220 (3.0424) Prec@1 39.453 (34.689) Prec@5 67.188 (60.408)
Epoch: [6][1550/5005] Time 0.460 (0.466) Data 0.000 (0.003) Loss 2.9569 (3.0421) Prec@1 36.328 (34.697) Prec@5 57.031 (60.411)
Epoch: [6][1560/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 2.9023 (3.0417) Prec@1 33.594 (34.701) Prec@5 60.156 (60.422)
Epoch: [6][1570/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.8348 (3.0417) Prec@1 36.719 (34.693) Prec@5 65.234 (60.423)
Epoch: [6][1580/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.9024 (3.0413) Prec@1 37.891 (34.697) Prec@5 60.156 (60.432)
Epoch: [6][1590/5005] Time 0.461 (0.466) Data 0.000 (0.003) Loss 3.1443 (3.0409) Prec@1 35.156 (34.718) Prec@5 56.641 (60.441)
Epoch: [6][1600/5005] Time 0.464 (0.466) Data 0.000 (0.003) Loss 2.6923 (3.0410) Prec@1 40.234 (34.720) Prec@5 65.625 (60.437)
Epoch: [6][1610/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 2.8576 (3.0410) Prec@1 39.453 (34.721) Prec@5 67.188 (60.435)
Epoch: [6][1620/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 3.0718 (3.0408) Prec@1 33.203 (34.729) Prec@5 60.156 (60.436)
Epoch: [6][1630/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 2.8475 (3.0411) Prec@1 35.938 (34.736) Prec@5 62.500 (60.432)
Epoch: [6][1640/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 3.0449 (3.0413) Prec@1 38.281 (34.743) Prec@5 57.031 (60.426)
Epoch: [6][1650/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 3.1764 (3.0413) Prec@1 33.984 (34.748) Prec@5 59.766 (60.426)
Epoch: [6][1660/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.9132 (3.0413) Prec@1 37.500 (34.750) Prec@5 63.281 (60.423)
Epoch: [6][1670/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 3.0398 (3.0413) Prec@1 35.156 (34.752) Prec@5 61.328 (60.421)
Epoch: [6][1680/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 3.2718 (3.0414) Prec@1 27.344 (34.741) Prec@5 56.250 (60.426)
Epoch: [6][1690/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 3.1749 (3.0416) Prec@1 35.547 (34.737) Prec@5 55.078 (60.427)
Epoch: [6][1700/5005] Time 0.450 (0.465) Data 0.000 (0.003) Loss 3.0127 (3.0414) Prec@1 34.375 (34.742) Prec@5 59.375 (60.427)
Epoch: [6][1710/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 3.0257 (3.0415) Prec@1 34.766 (34.739) Prec@5 62.500 (60.428)
Epoch: [6][1720/5005] Time 0.455 (0.465) Data 0.000 (0.003) Loss 3.0923 (3.0418) Prec@1 33.203 (34.732) Prec@5 59.766 (60.425)
Epoch: [6][1730/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 2.9458 (3.0414) Prec@1 38.672 (34.741) Prec@5 62.109 (60.427)
Epoch: [6][1740/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 2.8937 (3.0410) Prec@1 37.891 (34.749) Prec@5 61.719 (60.437)
Epoch: [6][1750/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 2.9100 (3.0403) Prec@1 40.234 (34.765) Prec@5 63.672 (60.444)
Epoch: [6][1760/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 3.1456 (3.0404) Prec@1 33.984 (34.762) Prec@5 58.203 (60.441)
Epoch: [6][1770/5005] Time 0.454 (0.465) Data 0.000 (0.003) Loss 3.0573 (3.0405) Prec@1 32.812 (34.770) Prec@5 63.672 (60.445)
Epoch: [6][1780/5005] Time 0.455 (0.465) Data 0.000 (0.003) Loss 3.0975 (3.0400) Prec@1 32.031 (34.775) Prec@5 61.719 (60.454)
Epoch: [6][1790/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 3.0514 (3.0402) Prec@1 35.156 (34.775) Prec@5 60.938 (60.455)
Epoch: [6][1800/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 2.8164 (3.0402) Prec@1 39.453 (34.777) Prec@5 65.625 (60.459)
Epoch: [6][1810/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.1555 (3.0402) Prec@1 32.422 (34.782) Prec@5 60.156 (60.454)
Epoch: [6][1820/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 2.9616 (3.0402) Prec@1 31.641 (34.786) Prec@5 60.938 (60.458)
Epoch: [6][1830/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 3.0450 (3.0403) Prec@1 34.375 (34.779) Prec@5 61.328 (60.453)
Epoch: [6][1840/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.2387 (3.0402) Prec@1 33.594 (34.784) Prec@5 57.812 (60.452)
Epoch: [6][1850/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 3.2244 (3.0405) Prec@1 30.078 (34.777) Prec@5 59.375 (60.450)
Epoch: [6][1860/5005] Time 0.466 (0.465) Data 0.000 (0.003) Loss 3.0583 (3.0406) Prec@1 37.109 (34.779) Prec@5 58.594 (60.447)
Epoch: [6][1870/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 3.1494 (3.0405) Prec@1 32.422 (34.782) Prec@5 56.641 (60.452)
Epoch: [6][1880/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 3.1384 (3.0405) Prec@1 33.203 (34.785) Prec@5 55.859 (60.449)
Epoch: [6][1890/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 2.8772 (3.0406) Prec@1 32.031 (34.781) Prec@5 64.062 (60.447)
Epoch: [6][1900/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 2.9236 (3.0404) Prec@1 35.547 (34.782) Prec@5 62.500 (60.453)
Epoch: [6][1910/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 2.8916 (3.0401) Prec@1 35.547 (34.784) Prec@5 60.938 (60.456)
Epoch: [6][1920/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 3.0170 (3.0399) Prec@1 35.938 (34.786) Prec@5 57.812 (60.455)
Epoch: [6][1930/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 2.7696 (3.0399) Prec@1 35.938 (34.786) Prec@5 63.672 (60.451)
Epoch: [6][1940/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 3.1288 (3.0400) Prec@1 35.938 (34.783) Prec@5 55.078 (60.447)
Epoch: [6][1950/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 3.0328 (3.0395) Prec@1 39.453 (34.793) Prec@5 61.328 (60.456)
Epoch: [6][1960/5005] Time 0.454 (0.465) Data 0.000 (0.003) Loss 3.3624 (3.0394) Prec@1 28.906 (34.793) Prec@5 56.250 (60.461)
Epoch: [6][1970/5005] Time 0.464 (0.465) Data 0.000 (0.003) Loss 3.1255 (3.0395) Prec@1 34.375 (34.790) Prec@5 58.984 (60.463)
Epoch: [6][1980/5005] Time 0.455 (0.465) Data 0.000 (0.003) Loss 2.9174 (3.0395) Prec@1 38.672 (34.787) Prec@5 64.453 (60.460)
Epoch: [6][1990/5005] Time 0.450 (0.465) Data 0.000 (0.003) Loss 2.9664 (3.0393) Prec@1 40.234 (34.795) Prec@5 63.281 (60.470)
Epoch: [6][2000/5005] Time 0.464 (0.465) Data 0.000 (0.003) Loss 3.2616 (3.0391) Prec@1 28.906 (34.795) Prec@5 56.641 (60.472)
Epoch: [6][2010/5005] Time 0.458 (0.465) Data 0.001 (0.003) Loss 3.1764 (3.0392) Prec@1 35.547 (34.801) Prec@5 58.203 (60.473)
Epoch: [6][2020/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 3.3051 (3.0391) Prec@1 33.594 (34.806) Prec@5 57.422 (60.477)
Epoch: [6][2030/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 3.1595 (3.0389) Prec@1 36.719 (34.805) Prec@5 58.203 (60.481)
Epoch: [6][2040/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.9207 (3.0390) Prec@1 36.719 (34.810) Prec@5 62.109 (60.486)
Epoch: [6][2050/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 3.0471 (3.0389) Prec@1 33.984 (34.810) Prec@5 62.500 (60.490)
Epoch: [6][2060/5005] Time 0.464 (0.464) Data 0.000 (0.003) Loss 2.9264 (3.0387) Prec@1 36.328 (34.818) Prec@5 63.672 (60.492)
Epoch: [6][2070/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 2.7240 (3.0384) Prec@1 44.531 (34.826) Prec@5 65.234 (60.501)
Epoch: [6][2080/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.8948 (3.0383) Prec@1 37.109 (34.828) Prec@5 64.844 (60.501)
Epoch: [6][2090/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.9184 (3.0379) Prec@1 36.719 (34.836) Prec@5 60.547 (60.515)
Epoch: [6][2100/5005] Time 0.457 (0.464) Data 0.000 (0.003) Loss 2.7991 (3.0376) Prec@1 42.188 (34.842) Prec@5 66.016 (60.522)
Epoch: [6][2110/5005] Time 0.452 (0.464) Data 0.000 (0.003) Loss 2.8021 (3.0375) Prec@1 38.281 (34.842) Prec@5 63.672 (60.524)
Epoch: [6][2120/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.7604 (3.0373) Prec@1 35.156 (34.847) Prec@5 67.969 (60.528)
Epoch: [6][2130/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 3.2863 (3.0371) Prec@1 30.078 (34.852) Prec@5 55.859 (60.530)
Epoch: [6][2140/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.8949 (3.0369) Prec@1 37.891 (34.855) Prec@5 58.594 (60.528)
Epoch: [6][2150/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.9653 (3.0371) Prec@1 34.766 (34.856) Prec@5 63.281 (60.521)
Epoch: [6][2160/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 3.2003 (3.0370) Prec@1 34.766 (34.859) Prec@5 57.422 (60.518)
Epoch: [6][2170/5005] Time 0.454 (0.464) Data 0.000 (0.003) Loss 2.9799 (3.0370) Prec@1 35.938 (34.858) Prec@5 60.547 (60.518)
Epoch: [6][2180/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 3.3043 (3.0369) Prec@1 26.953 (34.857) Prec@5 58.203 (60.522)
Epoch: [6][2190/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.9446 (3.0374) Prec@1 40.234 (34.855) Prec@5 62.109 (60.516)
Epoch: [6][2200/5005] Time 0.465 (0.464) Data 0.000 (0.003) Loss 2.8762 (3.0373) Prec@1 38.281 (34.852) Prec@5 62.109 (60.513)
Epoch: [6][2210/5005] Time 0.466 (0.464) Data 0.000 (0.002) Loss 2.9141 (3.0373) Prec@1 37.891 (34.853) Prec@5 63.672 (60.513)
Epoch: [6][2220/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 2.9399 (3.0370) Prec@1 40.234 (34.856) Prec@5 60.547 (60.517)
Epoch: [6][2230/5005] Time 0.454 (0.464) Data 0.000 (0.002) Loss 2.8608 (3.0367) Prec@1 37.891 (34.866) Prec@5 64.453 (60.523)
Epoch: [6][2240/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 2.9618 (3.0365) Prec@1 40.234 (34.874) Prec@5 62.891 (60.527)
Epoch: [6][2250/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.0308 (3.0364) Prec@1 38.672 (34.882) Prec@5 61.328 (60.531)
Epoch: [6][2260/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.2009 (3.0367) Prec@1 35.156 (34.880) Prec@5 59.766 (60.533)
Epoch: [6][2270/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 2.9402 (3.0363) Prec@1 39.844 (34.884) Prec@5 62.500 (60.537)
Epoch: [6][2280/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 2.8641 (3.0361) Prec@1 41.016 (34.890) Prec@5 63.281 (60.545)
Epoch: [6][2290/5005] Time 0.465 (0.464) Data 0.000 (0.002) Loss 3.0970 (3.0363) Prec@1 36.328 (34.891) Prec@5 60.547 (60.544)
Epoch: [6][2300/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 2.9044 (3.0359) Prec@1 36.719 (34.898) Prec@5 60.547 (60.547)
Epoch: [6][2310/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.0002 (3.0357) Prec@1 33.984 (34.898) Prec@5 60.156 (60.553)
Epoch: [6][2320/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 3.0609 (3.0353) Prec@1 30.469 (34.896) Prec@5 59.766 (60.565)
Epoch: [6][2330/5005] Time 0.464 (0.464) Data 0.000 (0.002) Loss 3.3070 (3.0354) Prec@1 33.594 (34.895) Prec@5 55.859 (60.567)
Epoch: [6][2340/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 2.8929 (3.0357) Prec@1 36.719 (34.893) Prec@5 63.281 (60.562)
Epoch: [6][2350/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 3.2929 (3.0358) Prec@1 35.938 (34.899) Prec@5 55.469 (60.564)
Epoch: [6][2360/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 2.9518 (3.0358) Prec@1 35.156 (34.899) Prec@5 62.500 (60.565)
Epoch: [6][2370/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 3.0588 (3.0355) Prec@1 35.938 (34.901) Prec@5 59.766 (60.569)
Epoch: [6][2380/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.0447 (3.0359) Prec@1 34.766 (34.899) Prec@5 62.500 (60.562)
Epoch: [6][2390/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 3.0589 (3.0358) Prec@1 33.594 (34.900) Prec@5 61.719 (60.559)
Epoch: [6][2400/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 3.1455 (3.0357) Prec@1 31.641 (34.898) Prec@5 58.203 (60.561)
Epoch: [6][2410/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 2.9597 (3.0356) Prec@1 37.109 (34.896) Prec@5 59.375 (60.560)
Epoch: [6][2420/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 2.9047 (3.0356) Prec@1 36.719 (34.896) Prec@5 63.281 (60.561)
Epoch: [6][2430/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 3.2036 (3.0355) Prec@1 36.328 (34.897) Prec@5 57.812 (60.560)
Epoch: [6][2440/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 3.0081 (3.0352) Prec@1 36.719 (34.903) Prec@5 63.672 (60.562)
Epoch: [6][2450/5005] Time 0.459 (0.464) Data 0.000 (0.002) Loss 2.9645 (3.0348) Prec@1 32.812 (34.909) Prec@5 60.938 (60.573)
Epoch: [6][2460/5005] Time 0.458 (0.464) Data 0.000 (0.002) Loss 2.6658 (3.0347) Prec@1 42.578 (34.912) Prec@5 69.922 (60.575)
Epoch: [6][2470/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 2.8469 (3.0345) Prec@1 35.547 (34.921) Prec@5 64.453 (60.580)
Epoch: [6][2480/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 2.8453 (3.0344) Prec@1 37.500 (34.922) Prec@5 62.891 (60.586)
Epoch: [6][2490/5005] Time 0.462 (0.463) Data 0.001 (0.002) Loss 2.8890 (3.0343) Prec@1 32.422 (34.925) Prec@5 64.453 (60.590)
Epoch: [6][2500/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 3.0498 (3.0342) Prec@1 38.672 (34.927) Prec@5 58.984 (60.587)
Epoch: [6][2510/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 3.0456 (3.0342) Prec@1 32.031 (34.925) Prec@5 60.938 (60.586)
Epoch: [6][2520/5005] Time 0.464 (0.463) Data 0.001 (0.002) Loss 3.3808 (3.0342) Prec@1 25.000 (34.925) Prec@5 53.516 (60.588)
Epoch: [6][2530/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.9767 (3.0341) Prec@1 32.031 (34.929) Prec@5 57.812 (60.587)
Epoch: [6][2540/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.1149 (3.0340) Prec@1 33.984 (34.934) Prec@5 57.422 (60.588)
Epoch: [6][2550/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.9794 (3.0339) Prec@1 35.938 (34.938) Prec@5 57.422 (60.589)
Epoch: [6][2560/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 2.9888 (3.0341) Prec@1 36.719 (34.933) Prec@5 62.109 (60.585)
Epoch: [6][2570/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 2.9050 (3.0339) Prec@1 33.203 (34.935) Prec@5 62.500 (60.587)
Epoch: [6][2580/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.1153 (3.0338) Prec@1 35.547 (34.936) Prec@5 58.594 (60.585)
Epoch: [6][2590/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.2101 (3.0341) Prec@1 31.250 (34.933) Prec@5 58.203 (60.586)
Epoch: [6][2600/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.9879 (3.0339) Prec@1 34.766 (34.936) Prec@5 60.547 (60.591)
Epoch: [6][2610/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.0519 (3.0340) Prec@1 35.938 (34.933) Prec@5 59.766 (60.588)
Epoch: [6][2620/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.8205 (3.0335) Prec@1 37.891 (34.942) Prec@5 63.281 (60.596)
Epoch: [6][2630/5005] Time 0.468 (0.463) Data 0.000 (0.002) Loss 2.9707 (3.0334) Prec@1 37.109 (34.944) Prec@5 62.109 (60.597)
Epoch: [6][2640/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.8103 (3.0335) Prec@1 33.984 (34.942) Prec@5 66.797 (60.596)
Epoch: [6][2650/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.9973 (3.0336) Prec@1 34.375 (34.941) Prec@5 62.500 (60.595)
Epoch: [6][2660/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.1621 (3.0335) Prec@1 33.984 (34.948) Prec@5 55.859 (60.595)
Epoch: [6][2670/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.5582 (3.0334) Prec@1 42.188 (34.954) Prec@5 70.703 (60.595)
Epoch: [6][2680/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.0415 (3.0335) Prec@1 33.984 (34.954) Prec@5 58.203 (60.595)
Epoch: [6][2690/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.8661 (3.0332) Prec@1 39.453 (34.955) Prec@5 62.891 (60.603)
Epoch: [6][2700/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.2778 (3.0330) Prec@1 33.984 (34.961) Prec@5 57.422 (60.606)
Epoch: [6][2710/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.8517 (3.0329) Prec@1 38.672 (34.960) Prec@5 64.062 (60.608)
Epoch: [6][2720/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.7560 (3.0329) Prec@1 39.062 (34.961) Prec@5 64.453 (60.610)
Epoch: [6][2730/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 3.1000 (3.0330) Prec@1 36.328 (34.959) Prec@5 58.984 (60.612)
Epoch: [6][2740/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.1376 (3.0331) Prec@1 34.375 (34.956) Prec@5 61.719 (60.608)
Epoch: [6][2750/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.0476 (3.0332) Prec@1 34.375 (34.957) Prec@5 61.719 (60.608)
Epoch: [6][2760/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 2.9104 (3.0330) Prec@1 38.281 (34.956) Prec@5 62.500 (60.613)
Epoch: [6][2770/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 3.1971 (3.0333) Prec@1 32.812 (34.955) Prec@5 59.766 (60.610)
Epoch: [6][2780/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.9430 (3.0331) Prec@1 35.938 (34.958) Prec@5 64.062 (60.612)
Epoch: [6][2790/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.0502 (3.0328) Prec@1 40.625 (34.965) Prec@5 63.672 (60.621)
Epoch: [6][2800/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.8873 (3.0325) Prec@1 38.672 (34.967) Prec@5 61.328 (60.626)
Epoch: [6][2810/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.1161 (3.0326) Prec@1 34.766 (34.964) Prec@5 60.156 (60.627)
Epoch: [6][2820/5005] Time 0.463 (0.463) Data 0.001 (0.002) Loss 2.9954 (3.0325) Prec@1 33.594 (34.966) Prec@5 60.547 (60.629)
Epoch: [6][2830/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.9060 (3.0324) Prec@1 38.672 (34.966) Prec@5 63.672 (60.633)
Epoch: [6][2840/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 2.8390 (3.0321) Prec@1 41.406 (34.975) Prec@5 64.062 (60.640)
Epoch: [6][2850/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 2.9338 (3.0317) Prec@1 34.375 (34.980) Prec@5 59.375 (60.645)
Epoch: [6][2860/5005] Time 0.460 (0.463) Data 0.001 (0.002) Loss 2.6921 (3.0316) Prec@1 39.062 (34.984) Prec@5 67.969 (60.643)
Epoch: [6][2870/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 2.9086 (3.0314) Prec@1 33.984 (34.989) Prec@5 62.109 (60.646)
Epoch: [6][2880/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 2.8431 (3.0312) Prec@1 39.062 (34.993) Prec@5 64.062 (60.649)
Epoch: [6][2890/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.0623 (3.0311) Prec@1 30.859 (34.994) Prec@5 61.719 (60.650)
Epoch: [6][2900/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.0346 (3.0311) Prec@1 37.500 (34.991) Prec@5 61.328 (60.649)
Epoch: [6][2910/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.1543 (3.0307) Prec@1 31.250 (35.000) Prec@5 57.422 (60.657)
Epoch: [6][2920/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.9240 (3.0305) Prec@1 38.281 (35.005) Prec@5 65.625 (60.663)
Epoch: [6][2930/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 3.0745 (3.0303) Prec@1 37.109 (35.010) Prec@5 58.984 (60.668)
Epoch: [6][2940/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 3.3363 (3.0303) Prec@1 32.031 (35.010) Prec@5 57.031 (60.667)
Epoch: [6][2950/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.2259 (3.0304) Prec@1 35.156 (35.008) Prec@5 57.812 (60.663)
Epoch: [6][2960/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.1560 (3.0303) Prec@1 35.156 (35.009) Prec@5 60.547 (60.668)
Epoch: [6][2970/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 2.8758 (3.0303) Prec@1 38.672 (35.009) Prec@5 60.156 (60.666)
Epoch: [6][2980/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 2.8304 (3.0303) Prec@1 36.328 (35.006) Prec@5 62.891 (60.667)
Epoch: [6][2990/5005] Time 0.467 (0.463) Data 0.000 (0.002) Loss 3.1543 (3.0304) Prec@1 37.109 (35.010) Prec@5 58.203 (60.664)
Epoch: [6][3000/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.8527 (3.0305) Prec@1 36.719 (35.008) Prec@5 62.500 (60.662)
Epoch: [6][3010/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.1647 (3.0303) Prec@1 34.766 (35.012) Prec@5 56.250 (60.663)
Epoch: [6][3020/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 3.1083 (3.0301) Prec@1 33.984 (35.014) Prec@5 62.500 (60.670)
Epoch: [6][3030/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.9245 (3.0301) Prec@1 34.375 (35.012) Prec@5 62.891 (60.669)
Epoch: [6][3040/5005] Time 0.455 (0.463) Data 0.001 (0.002) Loss 3.1917 (3.0300) Prec@1 30.078 (35.012) Prec@5 57.812 (60.674)
Epoch: [6][3050/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.8914 (3.0298) Prec@1 35.156 (35.011) Prec@5 64.062 (60.677)
Epoch: [6][3060/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 2.9689 (3.0295) Prec@1 34.766 (35.017) Prec@5 62.500 (60.682)
Epoch: [6][3070/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 3.1700 (3.0294) Prec@1 32.422 (35.019) Prec@5 63.281 (60.684)
Epoch: [6][3080/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.9529 (3.0295) Prec@1 37.891 (35.019) Prec@5 60.938 (60.680)
Epoch: [6][3090/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 3.0190 (3.0292) Prec@1 34.766 (35.022) Prec@5 64.062 (60.683)
Epoch: [6][3100/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.0019 (3.0292) Prec@1 33.984 (35.024) Prec@5 62.500 (60.684)
Epoch: [6][3110/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.0259 (3.0292) Prec@1 33.594 (35.024) Prec@5 60.938 (60.683)
Epoch: [6][3120/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 3.2321 (3.0293) Prec@1 33.594 (35.021) Prec@5 55.859 (60.678)
Epoch: [6][3130/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.1207 (3.0292) Prec@1 28.906 (35.022) Prec@5 59.766 (60.680)
Epoch: [6][3140/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.8970 (3.0291) Prec@1 34.375 (35.022) Prec@5 62.500 (60.679)
Epoch: [6][3150/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 3.0768 (3.0288) Prec@1 36.328 (35.026) Prec@5 61.328 (60.681)
Epoch: [6][3160/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 3.0031 (3.0288) Prec@1 33.984 (35.028) Prec@5 59.766 (60.679)
Epoch: [6][3170/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 3.1648 (3.0285) Prec@1 32.031 (35.031) Prec@5 59.766 (60.687)
Epoch: [6][3180/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.8749 (3.0284) Prec@1 38.672 (35.036) Prec@5 62.500 (60.689)
Epoch: [6][3190/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.9289 (3.0282) Prec@1 32.812 (35.036) Prec@5 63.281 (60.695)
Epoch: [6][3200/5005] Time 0.461 (0.463) Data 0.001 (0.002) Loss 2.9458 (3.0280) Prec@1 33.203 (35.039) Prec@5 59.766 (60.699)
Epoch: [6][3210/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.9760 (3.0280) Prec@1 35.156 (35.038) Prec@5 62.891 (60.702)
Epoch: [6][3220/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 3.0059 (3.0280) Prec@1 30.859 (35.038) Prec@5 63.672 (60.702)
Epoch: [6][3230/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 2.7674 (3.0281) Prec@1 39.453 (35.041) Prec@5 65.625 (60.702)
Epoch: [6][3240/5005] Time 0.451 (0.463) Data 0.000 (0.002) Loss 3.1089 (3.0278) Prec@1 33.594 (35.047) Prec@5 61.328 (60.710)
Epoch: [6][3250/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 3.2481 (3.0279) Prec@1 34.766 (35.048) Prec@5 59.766 (60.709)
Epoch: [6][3260/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.9145 (3.0278) Prec@1 37.500 (35.050) Prec@5 64.844 (60.710)
Epoch: [6][3270/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.8435 (3.0276) Prec@1 39.062 (35.055) Prec@5 62.891 (60.714)
Epoch: [6][3280/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.9913 (3.0274) Prec@1 39.062 (35.061) Prec@5 62.891 (60.718)
Epoch: [6][3290/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.2869 (3.0275) Prec@1 30.469 (35.060) Prec@5 58.203 (60.718)
Epoch: [6][3300/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0056 (3.0273) Prec@1 38.672 (35.061) Prec@5 59.375 (60.722)
Epoch: [6][3310/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.9919 (3.0273) Prec@1 37.109 (35.063) Prec@5 59.375 (60.724)
Epoch: [6][3320/5005] Time 0.451 (0.462) Data 0.000 (0.002) Loss 3.1808 (3.0273) Prec@1 32.422 (35.057) Prec@5 58.594 (60.723)
Epoch: [6][3330/5005] Time 0.449 (0.462) Data 0.000 (0.002) Loss 3.1206 (3.0272) Prec@1 32.422 (35.056) Prec@5 57.812 (60.721)
Epoch: [6][3340/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.8654 (3.0273) Prec@1 38.672 (35.060) Prec@5 61.719 (60.719)
Epoch: [6][3350/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 3.0701 (3.0274) Prec@1 33.203 (35.059) Prec@5 60.938 (60.718)
Epoch: [6][3360/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.0870 (3.0273) Prec@1 29.688 (35.057) Prec@5 60.156 (60.720)
Epoch: [6][3370/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0768 (3.0271) Prec@1 30.859 (35.058) Prec@5 59.375 (60.724)
Epoch: [6][3380/5005] Time 0.469 (0.462) Data 0.000 (0.002) Loss 3.1401 (3.0270) Prec@1 31.250 (35.063) Prec@5 60.156 (60.724)
Epoch: [6][3390/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.2145 (3.0267) Prec@1 33.203 (35.070) Prec@5 56.250 (60.732)
Epoch: [6][3400/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.9850 (3.0267) Prec@1 34.766 (35.072) Prec@5 59.375 (60.731)
Epoch: [6][3410/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0032 (3.0265) Prec@1 37.500 (35.077) Prec@5 58.594 (60.735)
Epoch: [6][3420/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.9150 (3.0264) Prec@1 34.766 (35.080) Prec@5 62.500 (60.735)
Epoch: [6][3430/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.0096 (3.0262) Prec@1 36.328 (35.086) Prec@5 63.281 (60.735)
Epoch: [6][3440/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0923 (3.0263) Prec@1 31.641 (35.087) Prec@5 59.766 (60.734)
Epoch: [6][3450/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.8312 (3.0262) Prec@1 38.281 (35.089) Prec@5 66.797 (60.740)
Epoch: [6][3460/5005] Time 0.462 (0.462) Data 0.001 (0.002) Loss 2.9732 (3.0258) Prec@1 40.625 (35.096) Prec@5 64.062 (60.746)
Epoch: [6][3470/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.1438 (3.0256) Prec@1 32.031 (35.101) Prec@5 57.422 (60.751)
Epoch: [6][3480/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0558 (3.0254) Prec@1 32.422 (35.103) Prec@5 56.641 (60.752)
Epoch: [6][3490/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.8962 (3.0253) Prec@1 37.500 (35.106) Prec@5 64.844 (60.757)
Epoch: [6][3500/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.0059 (3.0252) Prec@1 40.625 (35.107) Prec@5 62.109 (60.761)
Epoch: [6][3510/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0519 (3.0251) Prec@1 33.594 (35.107) Prec@5 57.812 (60.759)
Epoch: [6][3520/5005] Time 0.467 (0.462) Data 0.000 (0.002) Loss 3.1992 (3.0251) Prec@1 32.422 (35.112) Prec@5 59.375 (60.761)
Epoch: [6][3530/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.9319 (3.0250) Prec@1 39.062 (35.116) Prec@5 64.062 (60.760)
Epoch: [6][3540/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.8620 (3.0247) Prec@1 36.328 (35.119) Prec@5 64.844 (60.765)
Epoch: [6][3550/5005] Time 0.466 (0.462) Data 0.000 (0.002) Loss 2.8669 (3.0245) Prec@1 37.500 (35.122) Prec@5 64.453 (60.768)
Epoch: [6][3560/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0627 (3.0243) Prec@1 38.281 (35.127) Prec@5 61.719 (60.774)
Epoch: [6][3570/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 3.0505 (3.0242) Prec@1 40.234 (35.131) Prec@5 62.109 (60.775)
Epoch: [6][3580/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.9078 (3.0241) Prec@1 36.328 (35.134) Prec@5 62.500 (60.774)
Epoch: [6][3590/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.8718 (3.0238) Prec@1 38.281 (35.138) Prec@5 59.766 (60.781)
Epoch: [6][3600/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.9040 (3.0237) Prec@1 38.281 (35.140) Prec@5 63.281 (60.781)
Epoch: [6][3610/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.9621 (3.0234) Prec@1 33.594 (35.145) Prec@5 60.938 (60.786)
Epoch: [6][3620/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.1603 (3.0233) Prec@1 35.547 (35.148) Prec@5 57.812 (60.787)
Epoch: [6][3630/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0014 (3.0232) Prec@1 37.109 (35.147) Prec@5 59.375 (60.791)
Epoch: [6][3640/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.9827 (3.0232) Prec@1 32.422 (35.145) Prec@5 60.938 (60.792)
Epoch: [6][3650/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.9527 (3.0232) Prec@1 37.891 (35.147) Prec@5 67.188 (60.792)
Epoch: [6][3660/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.7608 (3.0230) Prec@1 39.062 (35.151) Prec@5 66.797 (60.796)
Epoch: [6][3670/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.2690 (3.0231) Prec@1 31.641 (35.150) Prec@5 59.375 (60.796)
Epoch: [6][3680/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.1442 (3.0231) Prec@1 31.250 (35.151) Prec@5 62.109 (60.800)
Epoch: [6][3690/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.1628 (3.0229) Prec@1 32.031 (35.152) Prec@5 57.812 (60.802)
Epoch: [6][3700/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.9221 (3.0230) Prec@1 35.547 (35.152) Prec@5 64.453 (60.801)
Epoch: [6][3710/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.7412 (3.0227) Prec@1 34.375 (35.157) Prec@5 63.672 (60.807)
Epoch: [6][3720/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.0952 (3.0227) Prec@1 32.812 (35.155) Prec@5 60.938 (60.809)
Epoch: [6][3730/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.9541 (3.0227) Prec@1 32.812 (35.154) Prec@5 63.281 (60.811)
Epoch: [6][3740/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.2208 (3.0225) Prec@1 32.812 (35.154) Prec@5 57.422 (60.813)
Epoch: [6][3750/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 3.0661 (3.0227) Prec@1 35.938 (35.150) Prec@5 60.156 (60.810)
Epoch: [6][3760/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.2019 (3.0225) Prec@1 33.984 (35.152) Prec@5 60.156 (60.814)
Epoch: [6][3770/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.9807 (3.0223) Prec@1 37.891 (35.155) Prec@5 62.109 (60.817)
Epoch: [6][3780/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 3.0088 (3.0222) Prec@1 36.328 (35.159) Prec@5 58.984 (60.820)
Epoch: [6][3790/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.7375 (3.0219) Prec@1 38.672 (35.158) Prec@5 66.797 (60.827)
Epoch: [6][3800/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.8500 (3.0217) Prec@1 38.672 (35.160) Prec@5 64.453 (60.830)
Epoch: [6][3810/5005] Time 0.461 (0.462) Data 0.001 (0.002) Loss 2.9759 (3.0215) Prec@1 34.766 (35.165) Prec@5 61.719 (60.830)
Epoch: [6][3820/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.1664 (3.0215) Prec@1 34.375 (35.164) Prec@5 56.641 (60.830)
Epoch: [6][3830/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 3.1400 (3.0214) Prec@1 31.250 (35.165) Prec@5 61.719 (60.833)
Epoch: [6][3840/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.7764 (3.0212) Prec@1 37.500 (35.170) Prec@5 65.234 (60.836)
Epoch: [6][3850/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.8713 (3.0211) Prec@1 38.672 (35.171) Prec@5 63.672 (60.836)
Epoch: [6][3860/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.1656 (3.0211) Prec@1 36.328 (35.171) Prec@5 60.938 (60.838)
Epoch: [6][3870/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.8386 (3.0211) Prec@1 35.547 (35.170) Prec@5 63.672 (60.839)
Epoch: [6][3880/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 3.1083 (3.0211) Prec@1 34.375 (35.171) Prec@5 60.547 (60.838)
Epoch: [6][3890/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 3.0228 (3.0211) Prec@1 32.422 (35.172) Prec@5 59.375 (60.840)
Epoch: [6][3900/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0489 (3.0210) Prec@1 32.812 (35.176) Prec@5 59.375 (60.840)
Epoch: [6][3910/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.9040 (3.0207) Prec@1 35.938 (35.179) Prec@5 63.281 (60.844)
Epoch: [6][3920/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.6821 (3.0205) Prec@1 36.328 (35.182) Prec@5 64.453 (60.848)
Epoch: [6][3930/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.8400 (3.0204) Prec@1 38.672 (35.182) Prec@5 66.016 (60.850)
Epoch: [6][3940/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.6314 (3.0201) Prec@1 38.672 (35.186) Prec@5 69.922 (60.855)
Epoch: [6][3950/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.9146 (3.0202) Prec@1 37.500 (35.185) Prec@5 63.672 (60.854)
Epoch: [6][3960/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 3.0128 (3.0201) Prec@1 34.766 (35.187) Prec@5 60.547 (60.857)
Epoch: [6][3970/5005] Time 0.466 (0.462) Data 0.000 (0.002) Loss 2.9277 (3.0198) Prec@1 38.672 (35.191) Prec@5 62.891 (60.861)
Epoch: [6][3980/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.9756 (3.0196) Prec@1 37.109 (35.194) Prec@5 60.547 (60.863)
Epoch: [6][3990/5005] Time 0.451 (0.462) Data 0.000 (0.002) Loss 2.9292 (3.0196) Prec@1 37.500 (35.197) Prec@5 63.672 (60.863)
Epoch: [6][4000/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 3.0348 (3.0194) Prec@1 34.766 (35.199) Prec@5 62.109 (60.864)
Epoch: [6][4010/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.8182 (3.0193) Prec@1 37.500 (35.200) Prec@5 66.016 (60.865)
Epoch: [6][4020/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 2.8539 (3.0194) Prec@1 36.719 (35.200) Prec@5 63.281 (60.864)
Epoch: [6][4030/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.8723 (3.0193) Prec@1 40.625 (35.202) Prec@5 66.797 (60.867)
Epoch: [6][4040/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.9016 (3.0193) Prec@1 38.672 (35.204) Prec@5 64.062 (60.867)
Epoch: [6][4050/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.9727 (3.0190) Prec@1 39.062 (35.206) Prec@5 61.719 (60.873)
Epoch: [6][4060/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.9011 (3.0188) Prec@1 35.156 (35.210) Prec@5 64.453 (60.876)
Epoch: [6][4070/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.8431 (3.0186) Prec@1 37.500 (35.213) Prec@5 64.844 (60.882)
Epoch: [6][4080/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.1209 (3.0184) Prec@1 33.203 (35.217) Prec@5 59.766 (60.887)
Epoch: [6][4090/5005] Time 0.460 (0.462) Data 0.001 (0.002) Loss 3.1222 (3.0184) Prec@1 34.766 (35.217) Prec@5 56.250 (60.887)
Epoch: [6][4100/5005] Time 0.466 (0.462) Data 0.000 (0.002) Loss 2.9864 (3.0183) Prec@1 36.719 (35.219) Prec@5 61.328 (60.888)
Epoch: [6][4110/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.8320 (3.0182) Prec@1 36.328 (35.220) Prec@5 64.453 (60.891)
Epoch: [6][4120/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.1316 (3.0181) Prec@1 33.984 (35.222) Prec@5 58.594 (60.894)
Epoch: [6][4130/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.8861 (3.0180) Prec@1 37.891 (35.223) Prec@5 62.891 (60.897)
Epoch: [6][4140/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.9487 (3.0180) Prec@1 34.766 (35.221) Prec@5 60.156 (60.896)
Epoch: [6][4150/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.3636 (3.0181) Prec@1 35.547 (35.221) Prec@5 53.516 (60.893)
Epoch: [6][4160/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.9457 (3.0180) Prec@1 35.938 (35.223) Prec@5 61.719 (60.894)
Epoch: [6][4170/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.8194 (3.0176) Prec@1 41.406 (35.230) Prec@5 66.016 (60.899)
Epoch: [6][4180/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.9316 (3.0177) Prec@1 40.625 (35.227) Prec@5 61.328 (60.898)
Epoch: [6][4190/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 3.1267 (3.0176) Prec@1 30.469 (35.228) Prec@5 59.375 (60.903)
Epoch: [6][4200/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.8352 (3.0175) Prec@1 37.500 (35.230) Prec@5 63.672 (60.905)
Epoch: [6][4210/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.9667 (3.0173) Prec@1 36.719 (35.234) Prec@5 63.672 (60.908)
Epoch: [6][4220/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.7840 (3.0171) Prec@1 41.406 (35.237) Prec@5 69.531 (60.912)
Epoch: [6][4230/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.8309 (3.0170) Prec@1 38.672 (35.239) Prec@5 60.938 (60.914)
Epoch: [6][4240/5005] Time 0.466 (0.462) Data 0.000 (0.002) Loss 3.0276 (3.0168) Prec@1 33.984 (35.241) Prec@5 62.891 (60.918)
Epoch: [6][4250/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.7761 (3.0165) Prec@1 37.109 (35.245) Prec@5 67.188 (60.922)
Epoch: [6][4260/5005] Time 0.461 (0.462) Data 0.000 (0.001) Loss 2.7090 (3.0163) Prec@1 36.719 (35.250) Prec@5 66.797 (60.926)
Epoch: [6][4270/5005] Time 0.469 (0.462) Data 0.000 (0.001) Loss 3.0834 (3.0163) Prec@1 33.984 (35.249) Prec@5 58.594 (60.924)
Epoch: [6][4280/5005] Time 0.465 (0.462) Data 0.000 (0.001) Loss 2.7994 (3.0160) Prec@1 41.406 (35.254) Prec@5 63.672 (60.930)
Epoch: [6][4290/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 2.8873 (3.0160) Prec@1 38.281 (35.255) Prec@5 60.547 (60.927)
Epoch: [6][4300/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 2.7519 (3.0159) Prec@1 40.625 (35.259) Prec@5 65.234 (60.929)
Epoch: [6][4310/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 2.9021 (3.0158) Prec@1 39.453 (35.258) Prec@5 59.375 (60.928)
Epoch: [6][4320/5005] Time 0.460 (0.462) Data 0.000 (0.001) Loss 2.9961 (3.0158) Prec@1 37.500 (35.259) Prec@5 63.281 (60.928)
Epoch: [6][4330/5005] Time 0.463 (0.462) Data 0.000 (0.001) Loss 2.6959 (3.0157) Prec@1 44.141 (35.263) Prec@5 67.969 (60.928)
Epoch: [6][4340/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 2.8939 (3.0156) Prec@1 37.891 (35.266) Prec@5 62.109 (60.932)
Epoch: [6][4350/5005] Time 0.462 (0.462) Data 0.000 (0.001) Loss 2.8809 (3.0153) Prec@1 33.594 (35.269) Prec@5 62.500 (60.936)
Epoch: [6][4360/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 2.9640 (3.0153) Prec@1 37.891 (35.270) Prec@5 59.375 (60.934)
Epoch: [6][4370/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 2.9388 (3.0154) Prec@1 34.766 (35.269) Prec@5 61.719 (60.933)
Epoch: [6][4380/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 3.0620 (3.0154) Prec@1 33.203 (35.268) Prec@5 60.547 (60.935)
Epoch: [6][4390/5005] Time 0.462 (0.462) Data 0.000 (0.001) Loss 2.8883 (3.0152) Prec@1 32.812 (35.270) Prec@5 62.500 (60.940)
Epoch: [6][4400/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 2.9863 (3.0151) Prec@1 34.766 (35.269) Prec@5 62.109 (60.939)
Epoch: [6][4410/5005] Time 0.454 (0.462) Data 0.000 (0.001) Loss 3.0487 (3.0148) Prec@1 36.328 (35.275) Prec@5 60.156 (60.946)
Epoch: [6][4420/5005] Time 0.461 (0.462) Data 0.000 (0.001) Loss 2.7553 (3.0146) Prec@1 41.406 (35.280) Prec@5 66.406 (60.952)
Epoch: [6][4430/5005] Time 0.461 (0.462) Data 0.000 (0.001) Loss 2.9512 (3.0145) Prec@1 36.719 (35.282) Prec@5 64.844 (60.953)
Epoch: [6][4440/5005] Time 0.461 (0.462) Data 0.000 (0.001) Loss 2.9848 (3.0144) Prec@1 37.891 (35.287) Prec@5 62.500 (60.956)
Epoch: [6][4450/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 3.0380 (3.0143) Prec@1 32.422 (35.290) Prec@5 61.328 (60.959)
Epoch: [6][4460/5005] Time 0.461 (0.462) Data 0.000 (0.001) Loss 2.9291 (3.0142) Prec@1 36.719 (35.292) Prec@5 64.453 (60.962)
Epoch: [6][4470/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 2.9125 (3.0141) Prec@1 38.281 (35.294) Prec@5 63.281 (60.967)
Epoch: [6][4480/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 3.1218 (3.0141) Prec@1 37.109 (35.295) Prec@5 58.203 (60.968)
Epoch: [6][4490/5005] Time 0.459 (0.462) Data 0.001 (0.001) Loss 2.8964 (3.0140) Prec@1 38.672 (35.295) Prec@5 62.891 (60.969)
Epoch: [6][4500/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.0456 (3.0139) Prec@1 37.500 (35.297) Prec@5 58.984 (60.972)
Epoch: [6][4510/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 2.8894 (3.0138) Prec@1 38.281 (35.303) Prec@5 61.719 (60.973)
Epoch: [6][4520/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.1742 (3.0135) Prec@1 35.547 (35.307) Prec@5 58.203 (60.978)
Epoch: [6][4530/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 2.9944 (3.0135) Prec@1 37.109 (35.308) Prec@5 62.109 (60.979)
Epoch: [6][4540/5005] Time 0.460 (0.462) Data 0.000 (0.001) Loss 3.2024 (3.0136) Prec@1 33.594 (35.309) Prec@5 58.984 (60.977)
Epoch: [6][4550/5005] Time 0.455 (0.462) Data 0.000 (0.001) Loss 2.9818 (3.0138) Prec@1 34.766 (35.311) Prec@5 58.984 (60.974)
Epoch: [6][4560/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.0441 (3.0137) Prec@1 35.156 (35.311) Prec@5 60.547 (60.976)
Epoch: [6][4570/5005] Time 0.462 (0.462) Data 0.000 (0.001) Loss 2.8892 (3.0136) Prec@1 36.328 (35.310) Prec@5 62.109 (60.979)
Epoch: [6][4580/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 3.0790 (3.0136) Prec@1 33.203 (35.310) Prec@5 60.547 (60.979)
Epoch: [6][4590/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.2570 (3.0136) Prec@1 30.469 (35.312) Prec@5 53.516 (60.978)
Epoch: [6][4600/5005] Time 0.463 (0.462) Data 0.000 (0.001) Loss 3.0358 (3.0135) Prec@1 35.156 (35.313) Prec@5 62.109 (60.980)
Epoch: [6][4610/5005] Time 0.454 (0.462) Data 0.000 (0.001) Loss 3.0491 (3.0135) Prec@1 36.328 (35.314) Prec@5 60.156 (60.981)
Epoch: [6][4620/5005] Time 0.461 (0.462) Data 0.000 (0.001) Loss 3.0594 (3.0133) Prec@1 35.547 (35.319) Prec@5 60.156 (60.983)
Epoch: [6][4630/5005] Time 0.460 (0.462) Data 0.000 (0.001) Loss 3.0707 (3.0132) Prec@1 33.594 (35.320) Prec@5 56.250 (60.984)
Epoch: [6][4640/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 2.8033 (3.0131) Prec@1 40.234 (35.321) Prec@5 63.672 (60.987)
Epoch: [6][4650/5005] Time 0.457 (0.462) Data 0.000 (0.001) Loss 2.8314 (3.0130) Prec@1 41.406 (35.322) Prec@5 66.016 (60.989)
Epoch: [6][4660/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 3.1889 (3.0130) Prec@1 33.203 (35.324) Prec@5 55.859 (60.987)
Epoch: [6][4670/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 2.8645 (3.0129) Prec@1 39.453 (35.326) Prec@5 64.844 (60.991)
Epoch: [6][4680/5005] Time 0.458 (0.462) Data 0.000 (0.001) Loss 2.8664 (3.0128) Prec@1 36.719 (35.324) Prec@5 63.672 (60.991)
Epoch: [6][4690/5005] Time 0.460 (0.462) Data 0.000 (0.001) Loss 2.9786 (3.0128) Prec@1 35.938 (35.327) Prec@5 61.328 (60.991)
Epoch: [6][4700/5005] Time 0.460 (0.462) Data 0.000 (0.001) Loss 2.9546 (3.0127) Prec@1 39.453 (35.326) Prec@5 60.938 (60.993)
Epoch: [6][4710/5005] Time 0.450 (0.462) Data 0.001 (0.001) Loss 2.7264 (3.0125) Prec@1 39.453 (35.332) Prec@5 64.453 (60.995)
Epoch: [6][4720/5005] Time 0.459 (0.462) Data 0.000 (0.001) Loss 2.6648 (3.0124) Prec@1 42.969 (35.334) Prec@5 64.844 (60.997)
Epoch: [6][4730/5005] Time 0.463 (0.462) Data 0.000 (0.001) Loss 2.8931 (3.0124) Prec@1 38.281 (35.333) Prec@5 62.891 (60.996)
Epoch: [6][4740/5005] Time 0.456 (0.462) Data 0.000 (0.001) Loss 2.9681 (3.0122) Prec@1 37.109 (35.338) Prec@5 60.156 (60.998)
Epoch: [6][4750/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.8267 (3.0120) Prec@1 38.281 (35.344) Prec@5 62.891 (61.002)
Epoch: [6][4760/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 3.0138 (3.0118) Prec@1 36.328 (35.349) Prec@5 60.547 (61.007)
Epoch: [6][4770/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 2.9778 (3.0117) Prec@1 35.547 (35.350) Prec@5 62.500 (61.005)
Epoch: [6][4780/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 3.1860 (3.0117) Prec@1 28.906 (35.349) Prec@5 57.812 (61.006)
Epoch: [6][4790/5005] Time 0.452 (0.461) Data 0.000 (0.001) Loss 2.9005 (3.0116) Prec@1 35.938 (35.352) Prec@5 64.453 (61.010)
Epoch: [6][4800/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.9894 (3.0115) Prec@1 39.844 (35.352) Prec@5 62.891 (61.011)
Epoch: [6][4810/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 3.1193 (3.0116) Prec@1 34.375 (35.349) Prec@5 62.109 (61.011)
Epoch: [6][4820/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.9757 (3.0115) Prec@1 35.547 (35.348) Prec@5 61.719 (61.008)
Epoch: [6][4830/5005] Time 0.465 (0.461) Data 0.001 (0.001) Loss 2.8557 (3.0113) Prec@1 40.234 (35.353) Prec@5 63.672 (61.014)
Epoch: [6][4840/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.8906 (3.0112) Prec@1 37.109 (35.355) Prec@5 66.016 (61.018)
Epoch: [6][4850/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.8400 (3.0110) Prec@1 36.719 (35.357) Prec@5 63.672 (61.019)
Epoch: [6][4860/5005] Time 0.452 (0.461) Data 0.000 (0.001) Loss 2.8798 (3.0109) Prec@1 39.844 (35.361) Prec@5 64.062 (61.021)
Epoch: [6][4870/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.6279 (3.0107) Prec@1 43.359 (35.363) Prec@5 68.750 (61.025)
Epoch: [6][4880/5005] Time 0.451 (0.461) Data 0.000 (0.001) Loss 2.9872 (3.0104) Prec@1 35.156 (35.366) Prec@5 63.281 (61.029)
Epoch: [6][4890/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 3.1112 (3.0104) Prec@1 32.031 (35.367) Prec@5 58.594 (61.028)
Epoch: [6][4900/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.9289 (3.0103) Prec@1 37.891 (35.371) Prec@5 62.891 (61.031)
Epoch: [6][4910/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 2.9535 (3.0102) Prec@1 35.938 (35.373) Prec@5 64.844 (61.034)
Epoch: [6][4920/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 3.0906 (3.0100) Prec@1 29.688 (35.375) Prec@5 59.766 (61.039)
Epoch: [6][4930/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.9560 (3.0099) Prec@1 38.672 (35.376) Prec@5 64.453 (61.041)
Epoch: [6][4940/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 3.0619 (3.0098) Prec@1 33.984 (35.377) Prec@5 60.547 (61.041)
Epoch: [6][4950/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.8807 (3.0095) Prec@1 36.719 (35.380) Prec@5 62.891 (61.046)
Epoch: [6][4960/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.8022 (3.0095) Prec@1 41.797 (35.383) Prec@5 62.500 (61.045)
Epoch: [6][4970/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 2.7969 (3.0093) Prec@1 37.500 (35.385) Prec@5 64.844 (61.048)
Epoch: [6][4980/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.5825 (3.0091) Prec@1 44.922 (35.389) Prec@5 71.484 (61.054)
Epoch: [6][4990/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.8843 (3.0091) Prec@1 39.844 (35.389) Prec@5 62.891 (61.052)
Epoch: [6][5000/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.9740 (3.0090) Prec@1 33.594 (35.392) Prec@5 59.766 (61.055)
Test: [0/196] Time 5.527 (5.527) Loss 1.4558 (1.4558) Prec@1 65.234 (65.234) Prec@5 87.109 (87.109)
Test: [10/196] Time 0.156 (0.640) Loss 2.1544 (1.7642) Prec@1 54.297 (57.280) Prec@5 75.391 (81.889)
Test: [20/196] Time 0.148 (0.407) Loss 1.9244 (1.7966) Prec@1 57.812 (56.455) Prec@5 79.688 (81.083)
Test: [30/196] Time 0.152 (0.327) Loss 1.8697 (1.8182) Prec@1 46.094 (55.822) Prec@5 81.641 (80.872)
Test: [40/196] Time 0.157 (0.284) Loss 2.0443 (1.8908) Prec@1 51.172 (52.801) Prec@5 76.953 (80.116)
Test: [50/196] Time 0.152 (0.258) Loss 1.5874 (1.8723) Prec@1 61.328 (52.750) Prec@5 83.984 (80.607)
Test: [60/196] Time 0.154 (0.242) Loss 2.3773 (1.8709) Prec@1 40.625 (52.613) Prec@5 76.562 (80.834)
Test: [70/196] Time 0.151 (0.229) Loss 2.2089 (1.8684) Prec@1 49.609 (52.855) Prec@5 71.875 (80.656)
Test: [80/196] Time 0.148 (0.219) Loss 3.0162 (1.8977) Prec@1 30.078 (52.382) Prec@5 62.109 (80.199)
Test: [90/196] Time 0.148 (0.211) Loss 3.6792 (2.0027) Prec@1 21.875 (50.713) Prec@5 49.219 (78.584)
Test: [100/196] Time 0.150 (0.205) Loss 3.4731 (2.0872) Prec@1 25.781 (49.246) Prec@5 55.078 (77.205)
Test: [110/196] Time 0.148 (0.201) Loss 2.3524 (2.1282) Prec@1 51.172 (48.835) Prec@5 72.266 (76.446)
Test: [120/196] Time 0.148 (0.197) Loss 3.2856 (2.1689) Prec@1 32.812 (48.447) Prec@5 55.859 (75.717)
Test: [130/196] Time 0.148 (0.193) Loss 2.3339 (2.2143) Prec@1 46.875 (47.704) Prec@5 72.656 (75.000)
Test: [140/196] Time 0.149 (0.190) Loss 2.6960 (2.2525) Prec@1 42.969 (47.243) Prec@5 67.188 (74.285)
Test: [150/196] Time 0.152 (0.188) Loss 2.6820 (2.2916) Prec@1 47.656 (46.852) Prec@5 67.969 (73.549)
Test: [160/196] Time 0.155 (0.185) Loss 2.4609 (2.3201) Prec@1 46.484 (46.375) Prec@5 71.484 (73.027)
Test: [170/196] Time 0.186 (0.184) Loss 1.6664 (2.3514) Prec@1 56.641 (45.824) Prec@5 80.078 (72.464)
Test: [180/196] Time 0.148 (0.182) Loss 2.2981 (2.3714) Prec@1 43.750 (45.539) Prec@5 72.656 (72.173)
Test: [190/196] Time 0.149 (0.180) Loss 1.8254 (2.3673) Prec@1 54.297 (45.666) Prec@5 83.203 (72.266)
* Prec@1 46.032 Prec@5 72.466
Epoch: [7][0/5005] Time 4.658 (4.658) Data 4.481 (4.481) Loss 3.2117 (3.2117) Prec@1 33.203 (33.203) Prec@5 55.859 (55.859)
Epoch: [7][10/5005] Time 0.479 (0.844) Data 0.000 (0.427) Loss 2.7322 (2.9015) Prec@1 42.578 (37.500) Prec@5 64.844 (62.678)
Epoch: [7][20/5005] Time 0.456 (0.665) Data 0.000 (0.224) Loss 2.7372 (2.8828) Prec@1 38.281 (37.593) Prec@5 66.016 (63.337)
Epoch: [7][30/5005] Time 0.452 (0.598) Data 0.000 (0.152) Loss 2.7585 (2.8915) Prec@1 40.234 (37.626) Prec@5 69.531 (63.193)
Epoch: [7][40/5005] Time 0.460 (0.566) Data 0.001 (0.115) Loss 2.7007 (2.8920) Prec@1 40.625 (37.424) Prec@5 67.969 (63.196)
Epoch: [7][50/5005] Time 0.456 (0.546) Data 0.000 (0.092) Loss 3.0910 (2.9092) Prec@1 32.812 (37.048) Prec@5 59.375 (62.891)
Epoch: [7][60/5005] Time 0.453 (0.532) Data 0.000 (0.077) Loss 2.8142 (2.9198) Prec@1 39.453 (37.013) Prec@5 62.891 (62.756)
Epoch: [7][70/5005] Time 0.459 (0.522) Data 0.000 (0.066) Loss 2.6334 (2.9103) Prec@1 41.406 (37.258) Prec@5 68.359 (62.951)
Epoch: [7][80/5005] Time 0.455 (0.515) Data 0.000 (0.058) Loss 3.1382 (2.9126) Prec@1 37.109 (37.158) Prec@5 58.594 (62.891)
Epoch: [7][90/5005] Time 0.465 (0.509) Data 0.000 (0.052) Loss 2.7836 (2.8989) Prec@1 38.281 (37.371) Prec@5 66.797 (63.191)
Epoch: [7][100/5005] Time 0.472 (0.505) Data 0.000 (0.047) Loss 2.6937 (2.9017) Prec@1 39.062 (37.307) Prec@5 67.188 (63.154)
Epoch: [7][110/5005] Time 0.467 (0.501) Data 0.000 (0.043) Loss 2.7535 (2.9014) Prec@1 39.844 (37.236) Prec@5 64.844 (63.098)
Epoch: [7][120/5005] Time 0.463 (0.498) Data 0.000 (0.039) Loss 2.9668 (2.9016) Prec@1 39.062 (37.213) Prec@5 62.500 (63.052)
Epoch: [7][130/5005] Time 0.452 (0.496) Data 0.000 (0.036) Loss 3.0963 (2.9044) Prec@1 35.156 (37.148) Prec@5 56.250 (63.013)
Epoch: [7][140/5005] Time 0.465 (0.493) Data 0.000 (0.034) Loss 2.9196 (2.9094) Prec@1 37.109 (37.151) Prec@5 62.109 (62.896)
Epoch: [7][150/5005] Time 0.468 (0.491) Data 0.000 (0.031) Loss 2.9000 (2.9103) Prec@1 35.156 (37.120) Prec@5 61.719 (62.893)
Epoch: [7][160/5005] Time 0.458 (0.490) Data 0.000 (0.030) Loss 2.8633 (2.9100) Prec@1 36.719 (37.000) Prec@5 63.281 (62.866)
Epoch: [7][170/5005] Time 0.450 (0.488) Data 0.000 (0.028) Loss 2.7955 (2.9078) Prec@1 40.625 (37.073) Prec@5 64.844 (62.909)
Epoch: [7][180/5005] Time 0.453 (0.487) Data 0.000 (0.026) Loss 2.9078 (2.9140) Prec@1 42.188 (37.004) Prec@5 61.328 (62.802)
Epoch: [7][190/5005] Time 0.455 (0.486) Data 0.000 (0.025) Loss 3.0439 (2.9131) Prec@1 37.500 (37.054) Prec@5 61.719 (62.776)
Epoch: [7][200/5005] Time 0.451 (0.484) Data 0.000 (0.024) Loss 2.8128 (2.9110) Prec@1 34.375 (37.061) Prec@5 65.625 (62.786)
Epoch: [7][210/5005] Time 0.452 (0.483) Data 0.000 (0.023) Loss 2.8478 (2.9098) Prec@1 40.234 (37.070) Prec@5 67.188 (62.831)
Epoch: [7][220/5005] Time 0.460 (0.482) Data 0.000 (0.022) Loss 3.0132 (2.9105) Prec@1 33.203 (37.070) Prec@5 61.328 (62.843)
Epoch: [7][230/5005] Time 0.466 (0.482) Data 0.000 (0.021) Loss 2.9881 (2.9100) Prec@1 33.594 (37.054) Prec@5 60.938 (62.806)
Epoch: [7][240/5005] Time 0.469 (0.481) Data 0.000 (0.020) Loss 2.8047 (2.9107) Prec@1 37.891 (37.061) Prec@5 64.453 (62.801)
Epoch: [7][250/5005] Time 0.450 (0.480) Data 0.000 (0.019) Loss 2.9118 (2.9089) Prec@1 38.672 (37.069) Prec@5 62.500 (62.827)
Epoch: [7][260/5005] Time 0.454 (0.480) Data 0.000 (0.018) Loss 2.7247 (2.9067) Prec@1 42.188 (37.102) Prec@5 68.359 (62.838)
Epoch: [7][270/5005] Time 0.451 (0.479) Data 0.000 (0.018) Loss 2.8911 (2.9061) Prec@1 39.062 (37.135) Prec@5 65.625 (62.826)
Epoch: [7][280/5005] Time 0.470 (0.478) Data 0.000 (0.017) Loss 2.6598 (2.9071) Prec@1 39.062 (37.134) Prec@5 65.625 (62.742)
Epoch: [7][290/5005] Time 0.457 (0.478) Data 0.000 (0.017) Loss 2.9737 (2.9085) Prec@1 35.156 (37.111) Prec@5 64.062 (62.708)
Epoch: [7][300/5005] Time 0.460 (0.477) Data 0.000 (0.016) Loss 2.9586 (2.9071) Prec@1 37.109 (37.126) Prec@5 63.672 (62.752)
Epoch: [7][310/5005] Time 0.474 (0.477) Data 0.000 (0.016) Loss 3.0045 (2.9058) Prec@1 33.594 (37.082) Prec@5 61.328 (62.779)
Epoch: [7][320/5005] Time 0.473 (0.476) Data 0.000 (0.015) Loss 2.8353 (2.9067) Prec@1 37.109 (37.101) Prec@5 61.719 (62.768)
Epoch: [7][330/5005] Time 0.475 (0.476) Data 0.001 (0.015) Loss 2.8609 (2.9108) Prec@1 39.453 (37.033) Prec@5 64.453 (62.715)
Epoch: [7][340/5005] Time 0.456 (0.475) Data 0.000 (0.014) Loss 3.1055 (2.9095) Prec@1 35.156 (37.034) Prec@5 59.375 (62.700)
Epoch: [7][350/5005] Time 0.478 (0.475) Data 0.000 (0.014) Loss 2.9853 (2.9092) Prec@1 40.625 (37.060) Prec@5 60.938 (62.713)
Epoch: [7][360/5005] Time 0.455 (0.475) Data 0.000 (0.013) Loss 2.8211 (2.9080) Prec@1 38.281 (37.072) Prec@5 62.891 (62.725)
Epoch: [7][370/5005] Time 0.473 (0.474) Data 0.000 (0.013) Loss 2.8761 (2.9081) Prec@1 36.719 (37.106) Prec@5 60.547 (62.703)
Epoch: [7][380/5005] Time 0.470 (0.474) Data 0.001 (0.013) Loss 2.8310 (2.9074) Prec@1 35.547 (37.082) Prec@5 63.672 (62.725)
Epoch: [7][390/5005] Time 0.451 (0.474) Data 0.000 (0.012) Loss 2.9941 (2.9098) Prec@1 33.203 (37.016) Prec@5 60.156 (62.682)
Epoch: [7][400/5005] Time 0.457 (0.474) Data 0.000 (0.012) Loss 2.8564 (2.9104) Prec@1 37.109 (37.021) Prec@5 61.719 (62.692)
Epoch: [7][410/5005] Time 0.432 (0.473) Data 0.000 (0.012) Loss 2.8121 (2.9094) Prec@1 35.547 (37.017) Prec@5 66.797 (62.723)
Epoch: [7][420/5005] Time 0.475 (0.473) Data 0.000 (0.012) Loss 3.0410 (2.9102) Prec@1 33.203 (37.005) Prec@5 60.547 (62.699)
Epoch: [7][430/5005] Time 0.468 (0.473) Data 0.000 (0.011) Loss 2.7156 (2.9101) Prec@1 43.359 (36.999) Prec@5 67.578 (62.703)
Epoch: [7][440/5005] Time 0.456 (0.473) Data 0.000 (0.011) Loss 2.9858 (2.9094) Prec@1 35.156 (36.991) Prec@5 62.500 (62.688)
Epoch: [7][450/5005] Time 0.474 (0.473) Data 0.000 (0.011) Loss 2.7503 (2.9064) Prec@1 42.188 (37.033) Prec@5 67.969 (62.748)
Epoch: [7][460/5005] Time 0.460 (0.473) Data 0.000 (0.011) Loss 2.8856 (2.9064) Prec@1 37.891 (37.031) Prec@5 60.938 (62.745)
Epoch: [7][470/5005] Time 0.458 (0.472) Data 0.001 (0.010) Loss 2.8077 (2.9054) Prec@1 40.625 (37.058) Prec@5 64.844 (62.768)
Epoch: [7][480/5005] Time 0.467 (0.472) Data 0.000 (0.010) Loss 2.8341 (2.9039) Prec@1 34.375 (37.088) Prec@5 60.156 (62.779)
Epoch: [7][490/5005] Time 0.473 (0.472) Data 0.000 (0.010) Loss 3.1609 (2.9021) Prec@1 32.812 (37.117) Prec@5 56.641 (62.804)
Epoch: [7][500/5005] Time 0.477 (0.472) Data 0.000 (0.010) Loss 2.7863 (2.9011) Prec@1 35.547 (37.123) Prec@5 62.891 (62.827)
Epoch: [7][510/5005] Time 0.470 (0.472) Data 0.000 (0.010) Loss 3.0576 (2.9008) Prec@1 37.891 (37.136) Prec@5 60.938 (62.829)
Epoch: [7][520/5005] Time 0.465 (0.472) Data 0.000 (0.009) Loss 2.7632 (2.9012) Prec@1 39.453 (37.134) Prec@5 62.500 (62.822)
Epoch: [7][530/5005] Time 0.477 (0.471) Data 0.000 (0.009) Loss 3.0106 (2.9009) Prec@1 35.938 (37.140) Prec@5 64.453 (62.839)
Epoch: [7][540/5005] Time 0.464 (0.471) Data 0.000 (0.009) Loss 3.1947 (2.9013) Prec@1 28.516 (37.120) Prec@5 58.984 (62.849)
Epoch: [7][550/5005] Time 0.463 (0.471) Data 0.000 (0.009) Loss 3.1472 (2.9020) Prec@1 29.688 (37.110) Prec@5 57.422 (62.840)
Epoch: [7][560/5005] Time 0.450 (0.471) Data 0.000 (0.009) Loss 3.0856 (2.9027) Prec@1 34.766 (37.116) Prec@5 57.422 (62.831)
Epoch: [7][570/5005] Time 0.474 (0.471) Data 0.000 (0.009) Loss 2.9328 (2.9028) Prec@1 39.062 (37.109) Prec@5 63.281 (62.819)
Epoch: [7][580/5005] Time 0.465 (0.471) Data 0.000 (0.008) Loss 2.5973 (2.9016) Prec@1 40.234 (37.113) Prec@5 67.969 (62.854)
Epoch: [7][590/5005] Time 0.479 (0.471) Data 0.000 (0.008) Loss 2.8195 (2.9004) Prec@1 36.328 (37.133) Prec@5 62.500 (62.859)
Epoch: [7][600/5005] Time 0.457 (0.470) Data 0.000 (0.008) Loss 2.9900 (2.9000) Prec@1 37.891 (37.134) Prec@5 61.328 (62.865)
Epoch: [7][610/5005] Time 0.482 (0.470) Data 0.000 (0.008) Loss 2.9493 (2.9011) Prec@1 32.812 (37.109) Prec@5 63.672 (62.844)
Epoch: [7][620/5005] Time 0.473 (0.470) Data 0.000 (0.008) Loss 2.9398 (2.9033) Prec@1 37.109 (37.067) Prec@5 64.062 (62.828)
Epoch: [7][630/5005] Time 0.458 (0.470) Data 0.000 (0.008) Loss 2.8818 (2.9032) Prec@1 39.062 (37.067) Prec@5 64.453 (62.829)
Epoch: [7][640/5005] Time 0.476 (0.470) Data 0.000 (0.008) Loss 2.8663 (2.9040) Prec@1 34.766 (37.055) Prec@5 62.500 (62.819)
Epoch: [7][650/5005] Time 0.451 (0.470) Data 0.000 (0.008) Loss 2.7977 (2.9037) Prec@1 38.281 (37.057) Prec@5 62.500 (62.835)
Epoch: [7][660/5005] Time 0.476 (0.470) Data 0.000 (0.008) Loss 2.8661 (2.9041) Prec@1 37.500 (37.042) Prec@5 62.891 (62.830)
Epoch: [7][670/5005] Time 0.478 (0.470) Data 0.000 (0.007) Loss 3.0303 (2.9053) Prec@1 35.547 (37.021) Prec@5 58.594 (62.799)
Epoch: [7][680/5005] Time 0.459 (0.470) Data 0.001 (0.007) Loss 3.1070 (2.9064) Prec@1 33.594 (37.013) Prec@5 62.891 (62.790)
Epoch: [7][690/5005] Time 0.463 (0.470) Data 0.000 (0.007) Loss 2.9435 (2.9064) Prec@1 37.891 (37.029) Prec@5 62.891 (62.782)
Epoch: [7][700/5005] Time 0.452 (0.469) Data 0.000 (0.007) Loss 3.0154 (2.9071) Prec@1 33.984 (37.006) Prec@5 59.375 (62.768)
Epoch: [7][710/5005] Time 0.461 (0.469) Data 0.000 (0.007) Loss 2.7821 (2.9072) Prec@1 37.500 (36.991) Prec@5 65.234 (62.763)
Epoch: [7][720/5005] Time 0.476 (0.469) Data 0.000 (0.007) Loss 2.6597 (2.9068) Prec@1 41.016 (37.009) Prec@5 66.406 (62.761)
Epoch: [7][730/5005] Time 0.454 (0.469) Data 0.000 (0.007) Loss 2.8221 (2.9063) Prec@1 37.891 (37.014) Prec@5 61.328 (62.768)
Epoch: [7][740/5005] Time 0.472 (0.469) Data 0.000 (0.007) Loss 3.0962 (2.9065) Prec@1 35.938 (37.007) Prec@5 60.156 (62.755)
Epoch: [7][750/5005] Time 0.466 (0.469) Data 0.000 (0.007) Loss 3.0515 (2.9058) Prec@1 36.328 (37.024) Prec@5 62.891 (62.778)
Epoch: [7][760/5005] Time 0.454 (0.469) Data 0.000 (0.007) Loss 2.9367 (2.9053) Prec@1 35.938 (37.025) Prec@5 63.281 (62.797)
Epoch: [7][770/5005] Time 0.476 (0.469) Data 0.000 (0.007) Loss 2.9177 (2.9060) Prec@1 33.203 (37.008) Prec@5 62.500 (62.780)
Epoch: [7][780/5005] Time 0.451 (0.469) Data 0.000 (0.006) Loss 3.1880 (2.9058) Prec@1 32.812 (37.010) Prec@5 59.766 (62.787)
Epoch: [7][790/5005] Time 0.468 (0.469) Data 0.000 (0.006) Loss 2.9825 (2.9052) Prec@1 37.500 (37.015) Prec@5 59.375 (62.788)
Epoch: [7][800/5005] Time 0.463 (0.469) Data 0.000 (0.006) Loss 2.7524 (2.9050) Prec@1 41.016 (37.011) Prec@5 65.234 (62.779)
Epoch: [7][810/5005] Time 0.472 (0.469) Data 0.000 (0.006) Loss 2.9558 (2.9046) Prec@1 35.938 (37.017) Prec@5 61.719 (62.793)
Epoch: [7][820/5005] Time 0.460 (0.469) Data 0.000 (0.006) Loss 2.8814 (2.9055) Prec@1 39.453 (37.009) Prec@5 62.109 (62.778)
Epoch: [7][830/5005] Time 0.471 (0.469) Data 0.000 (0.006) Loss 2.7151 (2.9046) Prec@1 36.328 (37.021) Prec@5 67.188 (62.796)
Epoch: [7][840/5005] Time 0.459 (0.468) Data 0.000 (0.006) Loss 2.8075 (2.9047) Prec@1 37.109 (37.022) Prec@5 64.844 (62.793)
Epoch: [7][850/5005] Time 0.481 (0.468) Data 0.000 (0.006) Loss 2.7257 (2.9043) Prec@1 41.406 (37.042) Prec@5 65.234 (62.800)
Epoch: [7][860/5005] Time 0.466 (0.468) Data 0.000 (0.006) Loss 2.9300 (2.9042) Prec@1 35.547 (37.027) Prec@5 60.938 (62.801)
Epoch: [7][870/5005] Time 0.452 (0.468) Data 0.001 (0.006) Loss 2.8253 (2.9039) Prec@1 42.188 (37.038) Prec@5 63.672 (62.812)
Epoch: [7][880/5005] Time 0.477 (0.468) Data 0.000 (0.006) Loss 2.8126 (2.9042) Prec@1 35.547 (37.026) Prec@5 66.797 (62.817)
Epoch: [7][890/5005] Time 0.466 (0.468) Data 0.000 (0.006) Loss 2.7906 (2.9043) Prec@1 41.797 (37.017) Prec@5 66.406 (62.810)
Epoch: [7][900/5005] Time 0.459 (0.468) Data 0.000 (0.006) Loss 2.8360 (2.9039) Prec@1 39.453 (37.024) Prec@5 62.500 (62.830)
Epoch: [7][910/5005] Time 0.452 (0.468) Data 0.000 (0.006) Loss 2.9599 (2.9042) Prec@1 34.766 (37.023) Prec@5 62.891 (62.818)
Epoch: [7][920/5005] Time 0.477 (0.468) Data 0.000 (0.006) Loss 2.9074 (2.9037) Prec@1 39.062 (37.042) Prec@5 61.719 (62.831)
Epoch: [7][930/5005] Time 0.449 (0.468) Data 0.000 (0.005) Loss 2.8949 (2.9035) Prec@1 38.672 (37.050) Prec@5 65.234 (62.836)
Epoch: [7][940/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 2.6022 (2.9032) Prec@1 39.062 (37.059) Prec@5 67.969 (62.850)
Epoch: [7][950/5005] Time 0.473 (0.468) Data 0.000 (0.005) Loss 2.7139 (2.9028) Prec@1 41.797 (37.078) Prec@5 67.188 (62.857)
Epoch: [7][960/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 2.9405 (2.9030) Prec@1 38.281 (37.077) Prec@5 62.500 (62.849)
Epoch: [7][970/5005] Time 0.455 (0.468) Data 0.000 (0.005) Loss 2.7723 (2.9028) Prec@1 37.500 (37.078) Prec@5 64.062 (62.854)
Epoch: [7][980/5005] Time 0.458 (0.468) Data 0.000 (0.005) Loss 3.2485 (2.9029) Prec@1 30.469 (37.084) Prec@5 55.078 (62.849)
Epoch: [7][990/5005] Time 0.466 (0.468) Data 0.000 (0.005) Loss 3.1634 (2.9023) Prec@1 32.031 (37.097) Prec@5 58.203 (62.862)
Epoch: [7][1000/5005] Time 0.462 (0.468) Data 0.000 (0.005) Loss 3.1541 (2.9027) Prec@1 32.422 (37.077) Prec@5 58.594 (62.855)
Epoch: [7][1010/5005] Time 0.457 (0.468) Data 0.000 (0.005) Loss 2.8079 (2.9026) Prec@1 42.188 (37.089) Prec@5 60.938 (62.854)
Epoch: [7][1020/5005] Time 0.462 (0.468) Data 0.000 (0.005) Loss 3.0759 (2.9031) Prec@1 35.156 (37.085) Prec@5 59.766 (62.853)
Epoch: [7][1030/5005] Time 0.473 (0.468) Data 0.000 (0.005) Loss 2.9200 (2.9024) Prec@1 35.938 (37.104) Prec@5 61.719 (62.866)
Epoch: [7][1040/5005] Time 0.466 (0.468) Data 0.000 (0.005) Loss 2.4204 (2.9011) Prec@1 48.438 (37.123) Prec@5 71.875 (62.893)
Epoch: [7][1050/5005] Time 0.482 (0.468) Data 0.000 (0.005) Loss 3.1309 (2.9018) Prec@1 34.375 (37.118) Prec@5 62.500 (62.887)
Epoch: [7][1060/5005] Time 0.456 (0.468) Data 0.000 (0.005) Loss 2.9888 (2.9017) Prec@1 32.812 (37.120) Prec@5 61.328 (62.891)
Epoch: [7][1070/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 2.9417 (2.9033) Prec@1 35.938 (37.099) Prec@5 63.281 (62.868)
Epoch: [7][1080/5005] Time 0.475 (0.468) Data 0.000 (0.005) Loss 2.9286 (2.9029) Prec@1 37.891 (37.117) Prec@5 60.547 (62.872)
Epoch: [7][1090/5005] Time 0.468 (0.468) Data 0.000 (0.005) Loss 2.7880 (2.9027) Prec@1 40.234 (37.114) Prec@5 66.016 (62.875)
Epoch: [7][1100/5005] Time 0.475 (0.468) Data 0.000 (0.005) Loss 3.0053 (2.9030) Prec@1 37.891 (37.105) Prec@5 61.719 (62.875)
Epoch: [7][1110/5005] Time 0.453 (0.468) Data 0.000 (0.005) Loss 2.8473 (2.9024) Prec@1 35.156 (37.116) Prec@5 65.234 (62.885)
Epoch: [7][1120/5005] Time 0.459 (0.467) Data 0.000 (0.005) Loss 2.9628 (2.9031) Prec@1 33.594 (37.109) Prec@5 60.547 (62.869)
Epoch: [7][1130/5005] Time 0.437 (0.467) Data 0.000 (0.005) Loss 3.0166 (2.9038) Prec@1 35.156 (37.094) Prec@5 56.250 (62.846)
Epoch: [7][1140/5005] Time 0.455 (0.467) Data 0.000 (0.005) Loss 2.8906 (2.9040) Prec@1 36.719 (37.094) Prec@5 62.500 (62.842)
Epoch: [7][1150/5005] Time 0.456 (0.467) Data 0.000 (0.005) Loss 2.4986 (2.9039) Prec@1 42.578 (37.091) Prec@5 71.484 (62.844)
Epoch: [7][1160/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 2.8782 (2.9038) Prec@1 35.938 (37.092) Prec@5 60.938 (62.856)
Epoch: [7][1170/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.9209 (2.9041) Prec@1 36.719 (37.082) Prec@5 60.938 (62.848)
Epoch: [7][1180/5005] Time 0.467 (0.467) Data 0.000 (0.004) Loss 2.8454 (2.9041) Prec@1 39.453 (37.086) Prec@5 63.281 (62.849)
Epoch: [7][1190/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 2.7440 (2.9042) Prec@1 37.891 (37.087) Prec@5 64.844 (62.844)
Epoch: [7][1200/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 2.8270 (2.9044) Prec@1 40.234 (37.087) Prec@5 64.844 (62.836)
Epoch: [7][1210/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.7281 (2.9037) Prec@1 38.672 (37.094) Prec@5 64.062 (62.850)
Epoch: [7][1220/5005] Time 0.464 (0.467) Data 0.000 (0.004) Loss 3.0634 (2.9039) Prec@1 33.984 (37.097) Prec@5 60.547 (62.861)
Epoch: [7][1230/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 2.8261 (2.9038) Prec@1 39.453 (37.109) Prec@5 64.062 (62.864)
Epoch: [7][1240/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 2.8288 (2.9042) Prec@1 38.281 (37.110) Prec@5 63.281 (62.861)
Epoch: [7][1250/5005] Time 0.447 (0.467) Data 0.000 (0.004) Loss 3.0443 (2.9045) Prec@1 36.719 (37.108) Prec@5 64.062 (62.853)
Epoch: [7][1260/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 3.1988 (2.9047) Prec@1 35.938 (37.106) Prec@5 57.812 (62.849)
Epoch: [7][1270/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.7059 (2.9045) Prec@1 39.062 (37.109) Prec@5 64.844 (62.841)
Epoch: [7][1280/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.7389 (2.9041) Prec@1 40.234 (37.115) Prec@5 64.844 (62.843)
Epoch: [7][1290/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 2.8456 (2.9035) Prec@1 43.359 (37.123) Prec@5 62.891 (62.856)
Epoch: [7][1300/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 2.9997 (2.9041) Prec@1 36.719 (37.119) Prec@5 61.719 (62.839)
Epoch: [7][1310/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 2.5787 (2.9045) Prec@1 40.625 (37.111) Prec@5 67.578 (62.836)
Epoch: [7][1320/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.6405 (2.9044) Prec@1 37.500 (37.109) Prec@5 65.625 (62.838)
Epoch: [7][1330/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 2.9736 (2.9048) Prec@1 37.500 (37.103) Prec@5 63.672 (62.834)
Epoch: [7][1340/5005] Time 0.449 (0.467) Data 0.000 (0.004) Loss 2.8325 (2.9050) Prec@1 34.766 (37.096) Prec@5 65.234 (62.832)
Epoch: [7][1350/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 2.9677 (2.9052) Prec@1 34.375 (37.101) Prec@5 60.938 (62.829)
Epoch: [7][1360/5005] Time 0.466 (0.467) Data 0.000 (0.004) Loss 2.9089 (2.9055) Prec@1 39.453 (37.104) Prec@5 60.156 (62.829)
Epoch: [7][1370/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.9954 (2.9057) Prec@1 38.672 (37.099) Prec@5 60.938 (62.830)
Epoch: [7][1380/5005] Time 0.478 (0.467) Data 0.000 (0.004) Loss 2.8786 (2.9056) Prec@1 38.281 (37.099) Prec@5 62.500 (62.837)
Epoch: [7][1390/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 2.9006 (2.9059) Prec@1 36.328 (37.099) Prec@5 64.844 (62.836)
Epoch: [7][1400/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 2.9152 (2.9064) Prec@1 38.281 (37.092) Prec@5 64.062 (62.824)
Epoch: [7][1410/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 3.0401 (2.9061) Prec@1 34.766 (37.083) Prec@5 60.547 (62.828)
Epoch: [7][1420/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 3.0263 (2.9060) Prec@1 36.328 (37.089) Prec@5 62.891 (62.829)
Epoch: [7][1430/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 2.9172 (2.9059) Prec@1 36.719 (37.093) Prec@5 60.156 (62.833)
Epoch: [7][1440/5005] Time 0.473 (0.467) Data 0.000 (0.004) Loss 2.9922 (2.9057) Prec@1 33.984 (37.088) Prec@5 60.156 (62.832)
Epoch: [7][1450/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 3.0203 (2.9060) Prec@1 35.156 (37.079) Prec@5 58.984 (62.821)
Epoch: [7][1460/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.8746 (2.9062) Prec@1 36.328 (37.083) Prec@5 62.500 (62.816)
Epoch: [7][1470/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 2.6476 (2.9057) Prec@1 41.797 (37.093) Prec@5 66.797 (62.833)
Epoch: [7][1480/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 2.8593 (2.9058) Prec@1 39.453 (37.094) Prec@5 63.672 (62.833)
Epoch: [7][1490/5005] Time 0.467 (0.466) Data 0.000 (0.004) Loss 2.9738 (2.9060) Prec@1 36.328 (37.092) Prec@5 58.984 (62.828)
Epoch: [7][1500/5005] Time 0.454 (0.466) Data 0.000 (0.004) Loss 2.6886 (2.9056) Prec@1 36.719 (37.097) Prec@5 66.797 (62.840)
Epoch: [7][1510/5005] Time 0.468 (0.466) Data 0.000 (0.004) Loss 3.0784 (2.9059) Prec@1 37.109 (37.085) Prec@5 60.547 (62.830)
Epoch: [7][1520/5005] Time 0.450 (0.466) Data 0.000 (0.004) Loss 2.8755 (2.9060) Prec@1 36.719 (37.083) Prec@5 65.625 (62.830)
Epoch: [7][1530/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 2.7547 (2.9056) Prec@1 37.109 (37.088) Prec@5 65.625 (62.834)
Epoch: [7][1540/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 2.8383 (2.9055) Prec@1 35.547 (37.087) Prec@5 60.156 (62.831)
Epoch: [7][1550/5005] Time 0.461 (0.466) Data 0.000 (0.003) Loss 3.0199 (2.9049) Prec@1 37.500 (37.092) Prec@5 61.719 (62.842)
Epoch: [7][1560/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 2.8363 (2.9054) Prec@1 37.891 (37.083) Prec@5 64.453 (62.829)
Epoch: [7][1570/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 3.0319 (2.9054) Prec@1 37.109 (37.080) Prec@5 62.891 (62.835)
Epoch: [7][1580/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.9804 (2.9051) Prec@1 35.938 (37.080) Prec@5 60.938 (62.842)
Epoch: [7][1590/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 2.9130 (2.9046) Prec@1 37.891 (37.084) Prec@5 62.500 (62.850)
Epoch: [7][1600/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.8200 (2.9044) Prec@1 39.453 (37.084) Prec@5 64.844 (62.854)
Epoch: [7][1610/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 2.9729 (2.9039) Prec@1 35.156 (37.091) Prec@5 64.453 (62.860)
Epoch: [7][1620/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 2.9943 (2.9037) Prec@1 33.203 (37.099) Prec@5 62.500 (62.865)
Epoch: [7][1630/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 2.9044 (2.9038) Prec@1 33.594 (37.097) Prec@5 66.016 (62.869)
Epoch: [7][1640/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 2.6832 (2.9036) Prec@1 39.453 (37.096) Prec@5 63.672 (62.873)
Epoch: [7][1650/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 2.8924 (2.9034) Prec@1 39.453 (37.104) Prec@5 62.109 (62.879)
Epoch: [7][1660/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 2.8144 (2.9033) Prec@1 35.156 (37.106) Prec@5 64.453 (62.883)
Epoch: [7][1670/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.8531 (2.9030) Prec@1 39.453 (37.110) Prec@5 64.453 (62.885)
Epoch: [7][1680/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 2.8256 (2.9028) Prec@1 38.672 (37.111) Prec@5 64.844 (62.886)
Epoch: [7][1690/5005] Time 0.477 (0.466) Data 0.000 (0.003) Loss 2.9058 (2.9025) Prec@1 37.109 (37.114) Prec@5 62.891 (62.896)
Epoch: [7][1700/5005] Time 0.464 (0.466) Data 0.000 (0.003) Loss 2.8552 (2.9019) Prec@1 34.766 (37.123) Prec@5 62.109 (62.901)
Epoch: [7][1710/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 2.8677 (2.9015) Prec@1 42.188 (37.140) Prec@5 63.672 (62.910)
Epoch: [7][1720/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 2.9240 (2.9013) Prec@1 34.375 (37.138) Prec@5 61.328 (62.914)
Epoch: [7][1730/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.9179 (2.9009) Prec@1 33.594 (37.145) Prec@5 60.156 (62.922)
Epoch: [7][1740/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 2.8583 (2.9005) Prec@1 39.453 (37.154) Prec@5 66.016 (62.932)
Epoch: [7][1750/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.7282 (2.9003) Prec@1 41.406 (37.161) Prec@5 68.359 (62.937)
Epoch: [7][1760/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.8263 (2.9004) Prec@1 38.672 (37.158) Prec@5 63.672 (62.935)
Epoch: [7][1770/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 2.9401 (2.9000) Prec@1 39.844 (37.164) Prec@5 64.844 (62.944)
Epoch: [7][1780/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 3.0065 (2.8999) Prec@1 37.500 (37.167) Prec@5 62.500 (62.951)
Epoch: [7][1790/5005] Time 0.450 (0.466) Data 0.000 (0.003) Loss 2.8794 (2.8997) Prec@1 35.938 (37.167) Prec@5 63.281 (62.957)
Epoch: [7][1800/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 2.7368 (2.8999) Prec@1 41.406 (37.169) Prec@5 69.531 (62.956)
Epoch: [7][1810/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 2.8147 (2.8998) Prec@1 38.672 (37.174) Prec@5 64.453 (62.961)
Epoch: [7][1820/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.8229 (2.8996) Prec@1 37.500 (37.175) Prec@5 65.625 (62.968)
Epoch: [7][1830/5005] Time 0.460 (0.466) Data 0.000 (0.003) Loss 2.8482 (2.8997) Prec@1 38.281 (37.174) Prec@5 63.281 (62.968)
Epoch: [7][1840/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 2.8041 (2.8996) Prec@1 37.891 (37.169) Prec@5 64.844 (62.971)
Epoch: [7][1850/5005] Time 0.474 (0.466) Data 0.000 (0.003) Loss 2.7759 (2.8995) Prec@1 41.797 (37.174) Prec@5 65.234 (62.967)
Epoch: [7][1860/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 2.9406 (2.8994) Prec@1 37.109 (37.173) Prec@5 60.547 (62.965)
Epoch: [7][1870/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 2.8775 (2.8994) Prec@1 35.547 (37.175) Prec@5 63.281 (62.963)
Epoch: [7][1880/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.8643 (2.8994) Prec@1 37.109 (37.180) Prec@5 63.281 (62.968)
Epoch: [7][1890/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 2.8881 (2.8993) Prec@1 41.406 (37.179) Prec@5 65.625 (62.975)
Epoch: [7][1900/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 2.9730 (2.8991) Prec@1 34.375 (37.183) Prec@5 62.891 (62.975)
Epoch: [7][1910/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.8055 (2.8991) Prec@1 39.453 (37.183) Prec@5 66.016 (62.981)
Epoch: [7][1920/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.8521 (2.8990) Prec@1 37.109 (37.192) Prec@5 67.188 (62.984)
Epoch: [7][1930/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 2.9346 (2.8994) Prec@1 37.500 (37.189) Prec@5 60.938 (62.979)
Epoch: [7][1940/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.7851 (2.8991) Prec@1 39.844 (37.192) Prec@5 62.891 (62.985)
Epoch: [7][1950/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.9627 (2.8989) Prec@1 36.328 (37.191) Prec@5 64.844 (62.992)
Epoch: [7][1960/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 2.8374 (2.8989) Prec@1 37.891 (37.187) Prec@5 64.062 (62.989)
Epoch: [7][1970/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 2.7118 (2.8988) Prec@1 39.062 (37.189) Prec@5 64.062 (62.992)
Epoch: [7][1980/5005] Time 0.450 (0.466) Data 0.000 (0.003) Loss 2.7833 (2.8982) Prec@1 41.016 (37.200) Prec@5 64.844 (63.004)
Epoch: [7][1990/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 2.6074 (2.8979) Prec@1 41.406 (37.213) Prec@5 66.016 (63.010)
Epoch: [7][2000/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 2.7048 (2.8977) Prec@1 41.797 (37.221) Prec@5 66.016 (63.015)
Epoch: [7][2010/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.9080 (2.8973) Prec@1 34.375 (37.232) Prec@5 64.062 (63.021)
Epoch: [7][2020/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 2.7272 (2.8974) Prec@1 40.234 (37.232) Prec@5 66.797 (63.025)
Epoch: [7][2030/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 2.9819 (2.8975) Prec@1 36.328 (37.231) Prec@5 63.281 (63.026)
Epoch: [7][2040/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 2.8079 (2.8975) Prec@1 36.719 (37.226) Prec@5 66.797 (63.026)
Epoch: [7][2050/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 2.9008 (2.8977) Prec@1 38.672 (37.222) Prec@5 59.766 (63.024)
Epoch: [7][2060/5005] Time 0.450 (0.466) Data 0.000 (0.003) Loss 2.7486 (2.8977) Prec@1 40.625 (37.224) Prec@5 63.672 (63.023)
Epoch: [7][2070/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.9495 (2.8976) Prec@1 33.594 (37.225) Prec@5 62.891 (63.022)
Epoch: [7][2080/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 2.9514 (2.8977) Prec@1 39.844 (37.221) Prec@5 63.281 (63.018)
Epoch: [7][2090/5005] Time 0.481 (0.466) Data 0.000 (0.003) Loss 3.0126 (2.8977) Prec@1 31.641 (37.219) Prec@5 59.766 (63.016)
Epoch: [7][2100/5005] Time 0.450 (0.466) Data 0.000 (0.003) Loss 2.5460 (2.8973) Prec@1 41.406 (37.222) Prec@5 71.875 (63.020)
Epoch: [7][2110/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 2.8304 (2.8973) Prec@1 38.672 (37.222) Prec@5 64.453 (63.018)
Epoch: [7][2120/5005] Time 0.464 (0.466) Data 0.000 (0.003) Loss 2.9604 (2.8973) Prec@1 31.641 (37.223) Prec@5 62.109 (63.022)
Epoch: [7][2130/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.8142 (2.8969) Prec@1 43.750 (37.228) Prec@5 64.844 (63.025)
Epoch: [7][2140/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.9948 (2.8969) Prec@1 35.156 (37.219) Prec@5 60.938 (63.026)
Epoch: [7][2150/5005] Time 0.447 (0.466) Data 0.000 (0.003) Loss 3.0087 (2.8970) Prec@1 34.375 (37.216) Prec@5 62.500 (63.026)
Epoch: [7][2160/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.7789 (2.8969) Prec@1 41.016 (37.222) Prec@5 66.797 (63.032)
Epoch: [7][2170/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 3.0205 (2.8964) Prec@1 35.547 (37.226) Prec@5 62.891 (63.041)
Epoch: [7][2180/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 2.8789 (2.8962) Prec@1 41.797 (37.233) Prec@5 62.891 (63.049)
Epoch: [7][2190/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 2.7830 (2.8963) Prec@1 37.891 (37.231) Prec@5 62.500 (63.050)
Epoch: [7][2200/5005] Time 0.480 (0.466) Data 0.000 (0.003) Loss 2.9155 (2.8966) Prec@1 37.500 (37.234) Prec@5 62.500 (63.050)
Epoch: [7][2210/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.6190 (2.8962) Prec@1 41.406 (37.247) Prec@5 66.797 (63.061)
Epoch: [7][2220/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 2.9236 (2.8961) Prec@1 39.453 (37.246) Prec@5 60.938 (63.063)
Epoch: [7][2230/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.7934 (2.8960) Prec@1 38.281 (37.249) Prec@5 65.625 (63.066)
Epoch: [7][2240/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 2.9821 (2.8955) Prec@1 34.375 (37.250) Prec@5 61.328 (63.075)
Epoch: [7][2250/5005] Time 0.447 (0.466) Data 0.000 (0.003) Loss 2.7759 (2.8953) Prec@1 37.109 (37.259) Prec@5 67.578 (63.080)
Epoch: [7][2260/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.8968 (2.8952) Prec@1 35.938 (37.261) Prec@5 65.625 (63.080)
Epoch: [7][2270/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 2.8442 (2.8952) Prec@1 42.578 (37.261) Prec@5 64.844 (63.078)
Epoch: [7][2280/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 2.8865 (2.8950) Prec@1 35.938 (37.264) Prec@5 62.109 (63.080)
Epoch: [7][2290/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 2.7684 (2.8947) Prec@1 35.547 (37.269) Prec@5 66.406 (63.084)
Epoch: [7][2300/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.7633 (2.8946) Prec@1 38.672 (37.271) Prec@5 64.062 (63.086)
Epoch: [7][2310/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 3.0258 (2.8949) Prec@1 33.203 (37.267) Prec@5 61.719 (63.079)
Epoch: [7][2320/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 2.9553 (2.8946) Prec@1 31.641 (37.269) Prec@5 61.328 (63.079)
Epoch: [7][2330/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 2.8024 (2.8944) Prec@1 37.891 (37.272) Prec@5 66.016 (63.082)
Epoch: [7][2340/5005] Time 0.457 (0.466) Data 0.000 (0.002) Loss 2.7523 (2.8944) Prec@1 40.625 (37.273) Prec@5 62.500 (63.077)
Epoch: [7][2350/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 2.6221 (2.8941) Prec@1 41.797 (37.275) Prec@5 68.750 (63.083)
Epoch: [7][2360/5005] Time 0.452 (0.466) Data 0.001 (0.002) Loss 2.9452 (2.8940) Prec@1 36.328 (37.275) Prec@5 58.984 (63.082)
Epoch: [7][2370/5005] Time 0.461 (0.466) Data 0.000 (0.002) Loss 2.9418 (2.8940) Prec@1 37.500 (37.271) Prec@5 60.156 (63.079)
Epoch: [7][2380/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 3.0226 (2.8942) Prec@1 36.328 (37.264) Prec@5 59.375 (63.077)
Epoch: [7][2390/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.8095 (2.8941) Prec@1 36.328 (37.263) Prec@5 64.844 (63.079)
Epoch: [7][2400/5005] Time 0.433 (0.466) Data 0.001 (0.002) Loss 2.9901 (2.8938) Prec@1 40.234 (37.268) Prec@5 62.500 (63.079)
Epoch: [7][2410/5005] Time 0.478 (0.466) Data 0.000 (0.002) Loss 2.9022 (2.8933) Prec@1 37.891 (37.277) Prec@5 62.500 (63.088)
Epoch: [7][2420/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 3.2554 (2.8931) Prec@1 30.859 (37.279) Prec@5 59.766 (63.095)
Epoch: [7][2430/5005] Time 0.474 (0.466) Data 0.000 (0.002) Loss 2.9765 (2.8933) Prec@1 38.281 (37.271) Prec@5 59.766 (63.090)
Epoch: [7][2440/5005] Time 0.478 (0.466) Data 0.000 (0.002) Loss 2.8185 (2.8932) Prec@1 39.062 (37.265) Prec@5 64.062 (63.091)
Epoch: [7][2450/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 2.7839 (2.8931) Prec@1 40.234 (37.265) Prec@5 62.500 (63.090)
Epoch: [7][2460/5005] Time 0.464 (0.466) Data 0.000 (0.002) Loss 2.8976 (2.8931) Prec@1 35.156 (37.270) Prec@5 59.375 (63.090)
Epoch: [7][2470/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 2.8867 (2.8933) Prec@1 33.594 (37.264) Prec@5 62.109 (63.089)
Epoch: [7][2480/5005] Time 0.455 (0.466) Data 0.000 (0.002) Loss 2.8490 (2.8931) Prec@1 39.062 (37.269) Prec@5 62.109 (63.094)
Epoch: [7][2490/5005] Time 0.474 (0.466) Data 0.000 (0.002) Loss 2.8565 (2.8930) Prec@1 40.234 (37.274) Prec@5 62.891 (63.095)
Epoch: [7][2500/5005] Time 0.465 (0.466) Data 0.000 (0.002) Loss 3.1644 (2.8933) Prec@1 32.031 (37.269) Prec@5 60.547 (63.090)
Epoch: [7][2510/5005] Time 0.477 (0.466) Data 0.000 (0.002) Loss 2.8167 (2.8932) Prec@1 36.719 (37.272) Prec@5 67.969 (63.090)
Epoch: [7][2520/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 2.7646 (2.8933) Prec@1 38.672 (37.269) Prec@5 65.625 (63.089)
Epoch: [7][2530/5005] Time 0.466 (0.466) Data 0.000 (0.002) Loss 2.9007 (2.8934) Prec@1 37.891 (37.266) Prec@5 64.453 (63.089)
Epoch: [7][2540/5005] Time 0.462 (0.466) Data 0.000 (0.002) Loss 2.6690 (2.8934) Prec@1 41.797 (37.266) Prec@5 62.500 (63.087)
Epoch: [7][2550/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 2.7356 (2.8933) Prec@1 34.766 (37.266) Prec@5 64.453 (63.092)
Epoch: [7][2560/5005] Time 0.466 (0.466) Data 0.000 (0.002) Loss 3.0079 (2.8935) Prec@1 39.062 (37.264) Prec@5 60.547 (63.090)
Epoch: [7][2570/5005] Time 0.471 (0.466) Data 0.000 (0.002) Loss 2.5130 (2.8932) Prec@1 43.359 (37.269) Prec@5 66.406 (63.094)
Epoch: [7][2580/5005] Time 0.477 (0.466) Data 0.000 (0.002) Loss 2.7542 (2.8929) Prec@1 40.625 (37.281) Prec@5 66.016 (63.098)
Epoch: [7][2590/5005] Time 0.470 (0.466) Data 0.001 (0.002) Loss 2.8898 (2.8930) Prec@1 32.031 (37.276) Prec@5 61.719 (63.095)
Epoch: [7][2600/5005] Time 0.473 (0.466) Data 0.000 (0.002) Loss 2.7912 (2.8927) Prec@1 37.891 (37.275) Prec@5 63.281 (63.098)
Epoch: [7][2610/5005] Time 0.456 (0.466) Data 0.000 (0.002) Loss 3.0570 (2.8928) Prec@1 35.547 (37.274) Prec@5 60.938 (63.099)
Epoch: [7][2620/5005] Time 0.429 (0.466) Data 0.000 (0.002) Loss 2.8392 (2.8925) Prec@1 37.891 (37.281) Prec@5 66.016 (63.103)
Epoch: [7][2630/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 2.9656 (2.8927) Prec@1 34.766 (37.278) Prec@5 62.891 (63.104)
Epoch: [7][2640/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.6652 (2.8924) Prec@1 44.141 (37.285) Prec@5 66.016 (63.107)
Epoch: [7][2650/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 2.9105 (2.8922) Prec@1 39.453 (37.291) Prec@5 62.109 (63.112)
Epoch: [7][2660/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 3.0933 (2.8920) Prec@1 34.766 (37.294) Prec@5 64.062 (63.120)
Epoch: [7][2670/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.8720 (2.8917) Prec@1 38.672 (37.299) Prec@5 65.234 (63.127)
Epoch: [7][2680/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.9723 (2.8918) Prec@1 36.719 (37.302) Prec@5 64.453 (63.130)
Epoch: [7][2690/5005] Time 0.478 (0.465) Data 0.000 (0.002) Loss 2.7179 (2.8918) Prec@1 41.797 (37.308) Prec@5 67.969 (63.130)
Epoch: [7][2700/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.9281 (2.8916) Prec@1 39.844 (37.312) Prec@5 63.672 (63.133)
Epoch: [7][2710/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.8510 (2.8916) Prec@1 35.938 (37.312) Prec@5 61.328 (63.132)
Epoch: [7][2720/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.6631 (2.8915) Prec@1 37.500 (37.313) Prec@5 69.141 (63.132)
Epoch: [7][2730/5005] Time 0.445 (0.465) Data 0.000 (0.002) Loss 3.0010 (2.8919) Prec@1 36.719 (37.308) Prec@5 64.844 (63.130)
Epoch: [7][2740/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.9056 (2.8919) Prec@1 33.594 (37.304) Prec@5 60.938 (63.128)
Epoch: [7][2750/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 3.0278 (2.8921) Prec@1 33.984 (37.303) Prec@5 63.281 (63.127)
Epoch: [7][2760/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.6933 (2.8920) Prec@1 39.062 (37.306) Prec@5 66.016 (63.128)
Epoch: [7][2770/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.7632 (2.8918) Prec@1 36.719 (37.311) Prec@5 67.188 (63.133)
Epoch: [7][2780/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.6934 (2.8917) Prec@1 44.922 (37.320) Prec@5 66.406 (63.134)
Epoch: [7][2790/5005] Time 0.449 (0.465) Data 0.000 (0.002) Loss 2.9263 (2.8916) Prec@1 36.719 (37.320) Prec@5 63.672 (63.136)
Epoch: [7][2800/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.8574 (2.8916) Prec@1 37.891 (37.320) Prec@5 63.281 (63.139)
Epoch: [7][2810/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.8914 (2.8912) Prec@1 35.938 (37.324) Prec@5 62.109 (63.144)
Epoch: [7][2820/5005] Time 0.459 (0.465) Data 0.001 (0.002) Loss 2.7649 (2.8910) Prec@1 40.625 (37.328) Prec@5 62.891 (63.151)
Epoch: [7][2830/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.6441 (2.8909) Prec@1 40.234 (37.329) Prec@5 70.312 (63.154)
Epoch: [7][2840/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.9571 (2.8911) Prec@1 37.500 (37.326) Prec@5 60.156 (63.151)
Epoch: [7][2850/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.7491 (2.8910) Prec@1 37.891 (37.327) Prec@5 66.797 (63.152)
Epoch: [7][2860/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.8357 (2.8909) Prec@1 38.672 (37.329) Prec@5 62.500 (63.154)
Epoch: [7][2870/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.9244 (2.8909) Prec@1 38.672 (37.330) Prec@5 64.844 (63.153)
Epoch: [7][2880/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.9032 (2.8903) Prec@1 35.547 (37.341) Prec@5 64.453 (63.162)
Epoch: [7][2890/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.9625 (2.8903) Prec@1 35.547 (37.341) Prec@5 62.891 (63.162)
Epoch: [7][2900/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 3.0178 (2.8905) Prec@1 34.766 (37.337) Prec@5 58.203 (63.157)
Epoch: [7][2910/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.6079 (2.8902) Prec@1 42.969 (37.344) Prec@5 66.016 (63.160)
Epoch: [7][2920/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.8772 (2.8902) Prec@1 39.844 (37.345) Prec@5 64.844 (63.161)
Epoch: [7][2930/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.0005 (2.8902) Prec@1 34.766 (37.344) Prec@5 59.766 (63.163)
Epoch: [7][2940/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.9692 (2.8900) Prec@1 38.281 (37.349) Prec@5 61.719 (63.166)
Epoch: [7][2950/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 3.0280 (2.8902) Prec@1 30.859 (37.349) Prec@5 63.672 (63.163)
Epoch: [7][2960/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 3.0452 (2.8901) Prec@1 32.812 (37.349) Prec@5 59.375 (63.168)
Epoch: [7][2970/5005] Time 0.457 (0.465) Data 0.001 (0.002) Loss 3.0259 (2.8901) Prec@1 32.422 (37.351) Prec@5 61.328 (63.168)
Epoch: [7][2980/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 3.0849 (2.8900) Prec@1 31.641 (37.349) Prec@5 57.422 (63.168)
Epoch: [7][2990/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.5395 (2.8898) Prec@1 43.750 (37.355) Prec@5 66.016 (63.171)
Epoch: [7][3000/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.7740 (2.8899) Prec@1 41.016 (37.353) Prec@5 64.844 (63.164)
Epoch: [7][3010/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.8151 (2.8897) Prec@1 38.281 (37.359) Prec@5 65.234 (63.169)
Epoch: [7][3020/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.7750 (2.8894) Prec@1 39.062 (37.367) Prec@5 64.844 (63.171)
Epoch: [7][3030/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.8627 (2.8894) Prec@1 35.938 (37.369) Prec@5 66.016 (63.174)
Epoch: [7][3040/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.5626 (2.8888) Prec@1 39.453 (37.376) Prec@5 67.578 (63.181)
Epoch: [7][3050/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 3.0437 (2.8886) Prec@1 38.281 (37.381) Prec@5 62.109 (63.185)
Epoch: [7][3060/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 3.0683 (2.8884) Prec@1 33.984 (37.380) Prec@5 58.594 (63.189)
Epoch: [7][3070/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 2.9245 (2.8883) Prec@1 37.500 (37.383) Prec@5 64.453 (63.195)
Epoch: [7][3080/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.5918 (2.8880) Prec@1 42.188 (37.390) Prec@5 66.797 (63.199)
Epoch: [7][3090/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.9678 (2.8879) Prec@1 32.422 (37.390) Prec@5 63.672 (63.202)
Epoch: [7][3100/5005] Time 0.479 (0.465) Data 0.000 (0.002) Loss 2.7563 (2.8879) Prec@1 43.359 (37.391) Prec@5 65.625 (63.202)
Epoch: [7][3110/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.7756 (2.8877) Prec@1 37.109 (37.392) Prec@5 66.406 (63.208)
Epoch: [7][3120/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.8570 (2.8876) Prec@1 37.891 (37.395) Prec@5 63.281 (63.209)
Epoch: [7][3130/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.7978 (2.8873) Prec@1 36.719 (37.399) Prec@5 64.062 (63.216)
Epoch: [7][3140/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.9805 (2.8874) Prec@1 36.719 (37.395) Prec@5 58.594 (63.216)
Epoch: [7][3150/5005] Time 0.484 (0.465) Data 0.000 (0.002) Loss 2.8047 (2.8872) Prec@1 42.969 (37.398) Prec@5 61.719 (63.221)
Epoch: [7][3160/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.9305 (2.8870) Prec@1 35.938 (37.399) Prec@5 62.109 (63.225)
Epoch: [7][3170/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 3.1811 (2.8870) Prec@1 32.422 (37.401) Prec@5 60.547 (63.223)
Epoch: [7][3180/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 3.0683 (2.8872) Prec@1 32.422 (37.394) Prec@5 60.547 (63.220)
Epoch: [7][3190/5005] Time 0.447 (0.465) Data 0.000 (0.002) Loss 2.9370 (2.8873) Prec@1 34.375 (37.392) Prec@5 66.406 (63.220)
Epoch: [7][3200/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.8507 (2.8873) Prec@1 39.844 (37.392) Prec@5 64.062 (63.220)
Epoch: [7][3210/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.9042 (2.8870) Prec@1 35.938 (37.395) Prec@5 60.156 (63.224)
Epoch: [7][3220/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.8095 (2.8869) Prec@1 39.062 (37.398) Prec@5 61.719 (63.223)
Epoch: [7][3230/5005] Time 0.477 (0.465) Data 0.001 (0.002) Loss 2.5150 (2.8868) Prec@1 45.312 (37.403) Prec@5 68.750 (63.224)
Epoch: [7][3240/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.8213 (2.8867) Prec@1 34.766 (37.403) Prec@5 63.672 (63.222)
Epoch: [7][3250/5005] Time 0.445 (0.465) Data 0.000 (0.002) Loss 2.5973 (2.8864) Prec@1 41.016 (37.405) Prec@5 68.750 (63.227)
Epoch: [7][3260/5005] Time 0.480 (0.465) Data 0.000 (0.002) Loss 3.1643 (2.8865) Prec@1 37.109 (37.408) Prec@5 58.203 (63.228)
Epoch: [7][3270/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.0205 (2.8865) Prec@1 35.156 (37.408) Prec@5 60.547 (63.229)
Epoch: [7][3280/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.9863 (2.8866) Prec@1 35.547 (37.408) Prec@5 61.719 (63.228)
Epoch: [7][3290/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.7807 (2.8867) Prec@1 41.406 (37.404) Prec@5 62.109 (63.225)
Epoch: [7][3300/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.7298 (2.8864) Prec@1 39.844 (37.410) Prec@5 64.062 (63.231)
Epoch: [7][3310/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 3.0110 (2.8862) Prec@1 32.812 (37.412) Prec@5 60.156 (63.233)
Epoch: [7][3320/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.7349 (2.8861) Prec@1 39.844 (37.413) Prec@5 66.797 (63.234)
Epoch: [7][3330/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.6597 (2.8859) Prec@1 40.234 (37.414) Prec@5 66.797 (63.235)
Epoch: [7][3340/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.7554 (2.8860) Prec@1 34.766 (37.409) Prec@5 60.156 (63.228)
Epoch: [7][3350/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.7268 (2.8859) Prec@1 41.016 (37.410) Prec@5 63.672 (63.228)
Epoch: [7][3360/5005] Time 0.444 (0.465) Data 0.000 (0.002) Loss 2.7688 (2.8857) Prec@1 38.281 (37.411) Prec@5 64.453 (63.230)
Epoch: [7][3370/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.8332 (2.8858) Prec@1 40.234 (37.412) Prec@5 67.188 (63.229)
Epoch: [7][3380/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.9171 (2.8860) Prec@1 37.109 (37.412) Prec@5 61.328 (63.225)
Epoch: [7][3390/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.9433 (2.8856) Prec@1 35.938 (37.419) Prec@5 62.500 (63.232)
Epoch: [7][3400/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.7693 (2.8854) Prec@1 42.188 (37.422) Prec@5 65.234 (63.236)
Epoch: [7][3410/5005] Time 0.483 (0.465) Data 0.001 (0.002) Loss 2.9045 (2.8852) Prec@1 37.109 (37.423) Prec@5 64.844 (63.241)
Epoch: [7][3420/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.8371 (2.8851) Prec@1 40.234 (37.426) Prec@5 64.844 (63.243)
Epoch: [7][3430/5005] Time 0.463 (0.465) Data 0.001 (0.002) Loss 2.8265 (2.8849) Prec@1 35.156 (37.427) Prec@5 64.062 (63.246)
Epoch: [7][3440/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.7273 (2.8849) Prec@1 38.281 (37.425) Prec@5 65.234 (63.246)
Epoch: [7][3450/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.8562 (2.8846) Prec@1 38.281 (37.426) Prec@5 64.062 (63.251)
Epoch: [7][3460/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.6004 (2.8846) Prec@1 42.578 (37.428) Prec@5 70.312 (63.253)
Epoch: [7][3470/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.7299 (2.8845) Prec@1 42.969 (37.434) Prec@5 65.234 (63.254)
Epoch: [7][3480/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 3.2026 (2.8844) Prec@1 27.344 (37.435) Prec@5 58.984 (63.257)
Epoch: [7][3490/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.9740 (2.8846) Prec@1 38.281 (37.436) Prec@5 64.453 (63.254)
Epoch: [7][3500/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 3.0289 (2.8848) Prec@1 35.547 (37.434) Prec@5 60.547 (63.249)
Epoch: [7][3510/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.8114 (2.8848) Prec@1 37.500 (37.437) Prec@5 66.797 (63.252)
Epoch: [7][3520/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.8020 (2.8845) Prec@1 35.156 (37.440) Prec@5 62.500 (63.255)
Epoch: [7][3530/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.8630 (2.8844) Prec@1 35.938 (37.441) Prec@5 66.406 (63.257)
Epoch: [7][3540/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.8025 (2.8841) Prec@1 35.938 (37.448) Prec@5 66.797 (63.261)
Epoch: [7][3550/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.8939 (2.8840) Prec@1 39.062 (37.453) Prec@5 61.719 (63.263)
Epoch: [7][3560/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.7713 (2.8837) Prec@1 39.453 (37.460) Prec@5 64.453 (63.271)
Epoch: [7][3570/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.6900 (2.8833) Prec@1 44.531 (37.471) Prec@5 67.188 (63.278)
Epoch: [7][3580/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.9197 (2.8832) Prec@1 41.016 (37.473) Prec@5 61.328 (63.279)
Epoch: [7][3590/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.6263 (2.8830) Prec@1 42.188 (37.476) Prec@5 69.141 (63.284)
Epoch: [7][3600/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.8149 (2.8828) Prec@1 37.500 (37.477) Prec@5 66.016 (63.287)
Epoch: [7][3610/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.8110 (2.8827) Prec@1 33.594 (37.478) Prec@5 62.109 (63.287)
Epoch: [7][3620/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.9910 (2.8826) Prec@1 32.031 (37.479) Prec@5 62.500 (63.289)
Epoch: [7][3630/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.8299 (2.8824) Prec@1 41.016 (37.480) Prec@5 65.625 (63.292)
Epoch: [7][3640/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.6756 (2.8822) Prec@1 43.359 (37.484) Prec@5 66.406 (63.295)
Epoch: [7][3650/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.7631 (2.8821) Prec@1 38.281 (37.483) Prec@5 68.750 (63.298)
Epoch: [7][3660/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 3.0511 (2.8820) Prec@1 35.547 (37.485) Prec@5 62.109 (63.298)
Epoch: [7][3670/5005] Time 0.454 (0.465) Data 0.001 (0.002) Loss 2.8298 (2.8820) Prec@1 35.547 (37.484) Prec@5 66.406 (63.297)
Epoch: [7][3680/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.5862 (2.8818) Prec@1 43.359 (37.490) Prec@5 66.406 (63.301)
Epoch: [7][3690/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.4128 (2.8816) Prec@1 45.312 (37.497) Prec@5 69.531 (63.305)
Epoch: [7][3700/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.6718 (2.8817) Prec@1 42.578 (37.495) Prec@5 64.844 (63.302)
Epoch: [7][3710/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.8900 (2.8816) Prec@1 37.500 (37.499) Prec@5 61.328 (63.307)
Epoch: [7][3720/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.8959 (2.8814) Prec@1 34.375 (37.501) Prec@5 63.672 (63.308)
Epoch: [7][3730/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.8515 (2.8812) Prec@1 39.062 (37.505) Prec@5 62.891 (63.311)
Epoch: [7][3740/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.7297 (2.8811) Prec@1 40.234 (37.507) Prec@5 61.719 (63.312)
Epoch: [7][3750/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.8993 (2.8810) Prec@1 33.984 (37.508) Prec@5 61.719 (63.313)
Epoch: [7][3760/5005] Time 0.448 (0.465) Data 0.000 (0.002) Loss 3.0302 (2.8809) Prec@1 38.281 (37.513) Prec@5 58.594 (63.315)
Epoch: [7][3770/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.8915 (2.8809) Prec@1 32.812 (37.513) Prec@5 59.766 (63.313)
Epoch: [7][3780/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.8654 (2.8810) Prec@1 37.109 (37.512) Prec@5 66.016 (63.313)
Epoch: [7][3790/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.9273 (2.8810) Prec@1 33.984 (37.512) Prec@5 62.500 (63.310)
Epoch: [7][3800/5005] Time 0.464 (0.465) Data 0.001 (0.002) Loss 2.8071 (2.8809) Prec@1 37.891 (37.511) Prec@5 66.797 (63.314)
Epoch: [7][3810/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.9135 (2.8808) Prec@1 35.938 (37.511) Prec@5 62.891 (63.315)
Epoch: [7][3820/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.9221 (2.8808) Prec@1 37.500 (37.514) Prec@5 62.109 (63.315)
Epoch: [7][3830/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.9340 (2.8808) Prec@1 40.234 (37.517) Prec@5 62.891 (63.314)
Epoch: [7][3840/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.7646 (2.8807) Prec@1 39.844 (37.518) Prec@5 64.844 (63.315)
Epoch: [7][3850/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.9112 (2.8806) Prec@1 37.500 (37.520) Prec@5 61.719 (63.315)
Epoch: [7][3860/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.8104 (2.8806) Prec@1 39.062 (37.521) Prec@5 64.062 (63.314)
Epoch: [7][3870/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.8008 (2.8804) Prec@1 39.453 (37.523) Prec@5 65.234 (63.315)
Epoch: [7][3880/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.9417 (2.8802) Prec@1 38.281 (37.528) Prec@5 61.328 (63.319)
Epoch: [7][3890/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.8416 (2.8799) Prec@1 37.891 (37.536) Prec@5 62.891 (63.327)
Epoch: [7][3900/5005] Time 0.478 (0.465) Data 0.000 (0.002) Loss 2.9472 (2.8797) Prec@1 33.984 (37.538) Prec@5 62.109 (63.329)
Epoch: [7][3910/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.9291 (2.8795) Prec@1 36.719 (37.542) Prec@5 61.719 (63.331)
Epoch: [7][3920/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.8478 (2.8795) Prec@1 36.328 (37.541) Prec@5 62.891 (63.332)
Epoch: [7][3930/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.9009 (2.8795) Prec@1 41.016 (37.541) Prec@5 62.891 (63.333)
Epoch: [7][3940/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.7439 (2.8796) Prec@1 39.062 (37.538) Prec@5 65.625 (63.333)
Epoch: [7][3950/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.6970 (2.8795) Prec@1 40.625 (37.542) Prec@5 66.406 (63.333)
Epoch: [7][3960/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.8706 (2.8793) Prec@1 36.328 (37.545) Prec@5 61.719 (63.334)
Epoch: [7][3970/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.8352 (2.8792) Prec@1 37.109 (37.547) Prec@5 65.625 (63.338)
Epoch: [7][3980/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 2.8117 (2.8791) Prec@1 37.891 (37.547) Prec@5 62.891 (63.338)
Epoch: [7][3990/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.8014 (2.8790) Prec@1 39.453 (37.548) Prec@5 64.062 (63.340)
Epoch: [7][4000/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.6577 (2.8789) Prec@1 41.797 (37.548) Prec@5 67.188 (63.341)
Epoch: [7][4010/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.8453 (2.8787) Prec@1 39.844 (37.550) Prec@5 60.938 (63.344)
Epoch: [7][4020/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.9680 (2.8785) Prec@1 34.375 (37.551) Prec@5 62.109 (63.348)
Epoch: [7][4030/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 3.0717 (2.8783) Prec@1 35.547 (37.557) Prec@5 58.984 (63.351)
Epoch: [7][4040/5005] Time 0.448 (0.465) Data 0.000 (0.002) Loss 2.8840 (2.8780) Prec@1 35.156 (37.561) Prec@5 64.453 (63.355)
Epoch: [7][4050/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.9464 (2.8778) Prec@1 34.766 (37.562) Prec@5 59.375 (63.355)
Epoch: [7][4060/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 3.0835 (2.8778) Prec@1 31.250 (37.564) Prec@5 63.281 (63.356)
Epoch: [7][4070/5005] Time 0.473 (0.465) Data 0.001 (0.002) Loss 2.8218 (2.8778) Prec@1 37.500 (37.565) Prec@5 62.109 (63.356)
Epoch: [7][4080/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.8202 (2.8776) Prec@1 38.672 (37.566) Prec@5 64.844 (63.359)
Epoch: [7][4090/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.7707 (2.8775) Prec@1 39.844 (37.568) Prec@5 64.844 (63.360)
Epoch: [7][4100/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.7873 (2.8774) Prec@1 44.141 (37.572) Prec@5 63.672 (63.362)
Epoch: [7][4110/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.9483 (2.8773) Prec@1 40.625 (37.573) Prec@5 64.844 (63.366)
Epoch: [7][4120/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.6919 (2.8771) Prec@1 38.281 (37.573) Prec@5 67.578 (63.370)
Epoch: [7][4130/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.8858 (2.8770) Prec@1 37.109 (37.579) Prec@5 64.062 (63.374)
Epoch: [7][4140/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 3.1328 (2.8770) Prec@1 35.156 (37.580) Prec@5 57.422 (63.372)
Epoch: [7][4150/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.0410 (2.8771) Prec@1 35.938 (37.578) Prec@5 60.547 (63.371)
Epoch: [7][4160/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.7852 (2.8769) Prec@1 39.844 (37.581) Prec@5 63.281 (63.375)
Epoch: [7][4170/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 3.1120 (2.8770) Prec@1 31.641 (37.580) Prec@5 57.812 (63.374)
Epoch: [7][4180/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.7648 (2.8770) Prec@1 40.625 (37.580) Prec@5 64.062 (63.376)
Epoch: [7][4190/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.9326 (2.8769) Prec@1 37.109 (37.580) Prec@5 58.984 (63.375)
Epoch: [7][4200/5005] Time 0.447 (0.465) Data 0.000 (0.002) Loss 2.9331 (2.8768) Prec@1 38.672 (37.583) Prec@5 64.844 (63.376)
Epoch: [7][4210/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.7945 (2.8768) Prec@1 38.672 (37.586) Prec@5 67.578 (63.377)
Epoch: [7][4220/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.8960 (2.8766) Prec@1 37.891 (37.591) Prec@5 64.844 (63.380)
Epoch: [7][4230/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.8721 (2.8766) Prec@1 39.453 (37.593) Prec@5 64.453 (63.385)
Epoch: [7][4240/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.9581 (2.8765) Prec@1 37.891 (37.597) Prec@5 58.594 (63.387)
Epoch: [7][4250/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.8159 (2.8763) Prec@1 40.234 (37.599) Prec@5 65.234 (63.389)
Epoch: [7][4260/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.7586 (2.8762) Prec@1 35.938 (37.601) Prec@5 64.844 (63.390)
Epoch: [7][4270/5005] Time 0.483 (0.465) Data 0.000 (0.002) Loss 3.0725 (2.8761) Prec@1 35.547 (37.602) Prec@5 60.938 (63.390)
Epoch: [7][4280/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.5561 (2.8758) Prec@1 41.406 (37.607) Prec@5 70.312 (63.396)
Epoch: [7][4290/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.9679 (2.8756) Prec@1 36.328 (37.609) Prec@5 57.031 (63.399)
Epoch: [7][4300/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.7297 (2.8755) Prec@1 45.312 (37.614) Prec@5 64.062 (63.400)
Epoch: [7][4310/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.8614 (2.8754) Prec@1 39.453 (37.616) Prec@5 62.891 (63.401)
Epoch: [7][4320/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.5987 (2.8753) Prec@1 46.875 (37.618) Prec@5 67.969 (63.402)
Epoch: [7][4330/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.7498 (2.8751) Prec@1 42.578 (37.623) Prec@5 65.625 (63.405)
Epoch: [7][4340/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.9992 (2.8752) Prec@1 35.156 (37.620) Prec@5 62.109 (63.402)
Epoch: [7][4350/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.9864 (2.8749) Prec@1 37.109 (37.627) Prec@5 62.500 (63.406)
Epoch: [7][4360/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.6886 (2.8748) Prec@1 43.359 (37.628) Prec@5 66.016 (63.408)
Epoch: [7][4370/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 3.1460 (2.8747) Prec@1 32.812 (37.630) Prec@5 56.641 (63.409)
Epoch: [7][4380/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 3.0136 (2.8747) Prec@1 39.062 (37.629) Prec@5 63.672 (63.409)
Epoch: [7][4390/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.9556 (2.8746) Prec@1 37.500 (37.630) Prec@5 60.938 (63.410)
Epoch: [7][4400/5005] Time 0.480 (0.465) Data 0.000 (0.001) Loss 2.7033 (2.8746) Prec@1 40.625 (37.632) Prec@5 67.188 (63.413)
Epoch: [7][4410/5005] Time 0.449 (0.465) Data 0.000 (0.001) Loss 2.8507 (2.8745) Prec@1 37.500 (37.631) Prec@5 67.188 (63.414)
Epoch: [7][4420/5005] Time 0.452 (0.465) Data 0.000 (0.001) Loss 2.7890 (2.8744) Prec@1 42.188 (37.634) Prec@5 65.625 (63.415)
Epoch: [7][4430/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 2.8803 (2.8743) Prec@1 35.938 (37.634) Prec@5 62.500 (63.416)
Epoch: [7][4440/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 2.9774 (2.8741) Prec@1 34.766 (37.637) Prec@5 60.156 (63.421)
Epoch: [7][4450/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 2.8154 (2.8739) Prec@1 42.969 (37.641) Prec@5 66.406 (63.425)
Epoch: [7][4460/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 3.0487 (2.8739) Prec@1 32.422 (37.639) Prec@5 60.156 (63.424)
Epoch: [7][4470/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.6643 (2.8738) Prec@1 42.578 (37.642) Prec@5 69.531 (63.424)
Epoch: [7][4480/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.8348 (2.8738) Prec@1 39.453 (37.642) Prec@5 66.797 (63.422)
Epoch: [7][4490/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 3.0047 (2.8738) Prec@1 36.719 (37.644) Prec@5 63.672 (63.423)
Epoch: [7][4500/5005] Time 0.465 (0.465) Data 0.000 (0.001) Loss 2.9516 (2.8736) Prec@1 37.109 (37.647) Prec@5 61.719 (63.425)
Epoch: [7][4510/5005] Time 0.473 (0.465) Data 0.000 (0.001) Loss 2.8682 (2.8735) Prec@1 39.062 (37.649) Prec@5 62.109 (63.426)
Epoch: [7][4520/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 2.8276 (2.8734) Prec@1 37.109 (37.651) Prec@5 64.844 (63.431)
Epoch: [7][4530/5005] Time 0.473 (0.465) Data 0.000 (0.001) Loss 2.5934 (2.8732) Prec@1 40.625 (37.652) Prec@5 69.531 (63.434)
Epoch: [7][4540/5005] Time 0.452 (0.465) Data 0.000 (0.001) Loss 2.6318 (2.8730) Prec@1 42.188 (37.656) Prec@5 71.484 (63.438)
Epoch: [7][4550/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.7945 (2.8729) Prec@1 36.328 (37.657) Prec@5 65.234 (63.440)
Epoch: [7][4560/5005] Time 0.449 (0.465) Data 0.000 (0.001) Loss 2.7689 (2.8728) Prec@1 37.500 (37.658) Prec@5 68.750 (63.443)
Epoch: [7][4570/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 2.7235 (2.8726) Prec@1 37.500 (37.660) Prec@5 64.453 (63.447)
Epoch: [7][4580/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 2.7243 (2.8726) Prec@1 40.234 (37.662) Prec@5 65.625 (63.447)
Epoch: [7][4590/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.9127 (2.8724) Prec@1 34.766 (37.667) Prec@5 63.281 (63.450)
Epoch: [7][4600/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 3.0063 (2.8725) Prec@1 32.031 (37.665) Prec@5 58.984 (63.448)
Epoch: [7][4610/5005] Time 0.458 (0.465) Data 0.000 (0.001) Loss 2.7149 (2.8724) Prec@1 37.500 (37.665) Prec@5 64.453 (63.448)
Epoch: [7][4620/5005] Time 0.482 (0.465) Data 0.000 (0.001) Loss 3.0341 (2.8724) Prec@1 35.938 (37.665) Prec@5 62.500 (63.449)
Epoch: [7][4630/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.8011 (2.8724) Prec@1 32.422 (37.664) Prec@5 64.062 (63.447)
Epoch: [7][4640/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.7066 (2.8724) Prec@1 41.406 (37.666) Prec@5 66.016 (63.448)
Epoch: [7][4650/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.7213 (2.8722) Prec@1 38.672 (37.668) Prec@5 68.750 (63.451)
Epoch: [7][4660/5005] Time 0.466 (0.465) Data 0.000 (0.001) Loss 2.7864 (2.8721) Prec@1 43.750 (37.670) Prec@5 64.844 (63.453)
Epoch: [7][4670/5005] Time 0.448 (0.465) Data 0.000 (0.001) Loss 2.7589 (2.8722) Prec@1 39.844 (37.668) Prec@5 65.234 (63.451)
Epoch: [7][4680/5005] Time 0.479 (0.465) Data 0.000 (0.001) Loss 2.9228 (2.8721) Prec@1 35.938 (37.670) Prec@5 60.156 (63.452)
Epoch: [7][4690/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.8789 (2.8721) Prec@1 36.719 (37.670) Prec@5 60.938 (63.454)
Epoch: [7][4700/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 2.7870 (2.8721) Prec@1 37.109 (37.670) Prec@5 64.062 (63.453)
Epoch: [7][4710/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.6487 (2.8721) Prec@1 42.188 (37.672) Prec@5 66.797 (63.452)
Epoch: [7][4720/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.6560 (2.8720) Prec@1 37.891 (37.674) Prec@5 67.188 (63.452)
Epoch: [7][4730/5005] Time 0.459 (0.465) Data 0.000 (0.001) Loss 2.8899 (2.8719) Prec@1 38.281 (37.675) Prec@5 66.016 (63.455)
Epoch: [7][4740/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.7568 (2.8718) Prec@1 36.328 (37.675) Prec@5 66.406 (63.456)
Epoch: [7][4750/5005] Time 0.475 (0.465) Data 0.000 (0.001) Loss 2.8837 (2.8717) Prec@1 42.969 (37.678) Prec@5 61.328 (63.457)
Epoch: [7][4760/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.4764 (2.8715) Prec@1 41.406 (37.683) Prec@5 69.531 (63.460)
Epoch: [7][4770/5005] Time 0.452 (0.465) Data 0.000 (0.001) Loss 2.8796 (2.8715) Prec@1 37.891 (37.681) Prec@5 62.109 (63.459)
Epoch: [7][4780/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 3.0244 (2.8715) Prec@1 35.547 (37.682) Prec@5 60.547 (63.461)
Epoch: [7][4790/5005] Time 0.445 (0.465) Data 0.000 (0.001) Loss 2.8552 (2.8713) Prec@1 36.328 (37.683) Prec@5 62.891 (63.464)
Epoch: [7][4800/5005] Time 0.455 (0.465) Data 0.000 (0.001) Loss 2.6924 (2.8712) Prec@1 40.234 (37.683) Prec@5 66.016 (63.466)
Epoch: [7][4810/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 3.0701 (2.8713) Prec@1 34.375 (37.685) Prec@5 57.812 (63.465)
Epoch: [7][4820/5005] Time 0.452 (0.465) Data 0.000 (0.001) Loss 2.7341 (2.8711) Prec@1 39.844 (37.686) Prec@5 64.453 (63.467)
Epoch: [7][4830/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.8095 (2.8709) Prec@1 39.844 (37.691) Prec@5 65.234 (63.471)
Epoch: [7][4840/5005] Time 0.474 (0.465) Data 0.000 (0.001) Loss 2.8286 (2.8708) Prec@1 34.766 (37.689) Prec@5 62.109 (63.471)
Epoch: [7][4850/5005] Time 0.472 (0.465) Data 0.000 (0.001) Loss 2.6268 (2.8707) Prec@1 41.406 (37.692) Prec@5 69.531 (63.474)
Epoch: [7][4860/5005] Time 0.477 (0.465) Data 0.000 (0.001) Loss 2.7381 (2.8704) Prec@1 41.016 (37.697) Prec@5 66.016 (63.481)
Epoch: [7][4870/5005] Time 0.461 (0.465) Data 0.000 (0.001) Loss 3.0050 (2.8704) Prec@1 36.328 (37.696) Prec@5 61.328 (63.484)
Epoch: [7][4880/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 2.9109 (2.8703) Prec@1 36.328 (37.698) Prec@5 61.328 (63.487)
Epoch: [7][4890/5005] Time 0.448 (0.465) Data 0.000 (0.001) Loss 2.7012 (2.8702) Prec@1 40.625 (37.699) Prec@5 65.234 (63.488)
Epoch: [7][4900/5005] Time 0.462 (0.465) Data 0.000 (0.001) Loss 2.6785 (2.8699) Prec@1 40.234 (37.705) Prec@5 67.188 (63.493)
Epoch: [7][4910/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.7304 (2.8699) Prec@1 39.844 (37.705) Prec@5 66.016 (63.493)
Epoch: [7][4920/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 3.1154 (2.8698) Prec@1 36.719 (37.706) Prec@5 59.375 (63.494)
Epoch: [7][4930/5005] Time 0.478 (0.465) Data 0.000 (0.001) Loss 2.7154 (2.8697) Prec@1 39.062 (37.709) Prec@5 64.844 (63.498)
Epoch: [7][4940/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 2.7710 (2.8695) Prec@1 37.891 (37.710) Prec@5 64.062 (63.500)
Epoch: [7][4950/5005] Time 0.465 (0.465) Data 0.000 (0.001) Loss 2.8152 (2.8696) Prec@1 41.406 (37.710) Prec@5 64.062 (63.498)
Epoch: [7][4960/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.7752 (2.8694) Prec@1 42.188 (37.712) Prec@5 65.234 (63.500)
Epoch: [7][4970/5005] Time 0.454 (0.465) Data 0.000 (0.001) Loss 2.9413 (2.8695) Prec@1 37.891 (37.712) Prec@5 64.062 (63.500)
Epoch: [7][4980/5005] Time 0.454 (0.465) Data 0.000 (0.001) Loss 2.7807 (2.8694) Prec@1 41.016 (37.715) Prec@5 65.625 (63.504)
Epoch: [7][4990/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 2.9017 (2.8693) Prec@1 37.891 (37.717) Prec@5 64.453 (63.508)
Epoch: [7][5000/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 2.8234 (2.8692) Prec@1 39.453 (37.716) Prec@5 63.672 (63.511)
Test: [0/196] Time 5.470 (5.470) Loss 1.2458 (1.2458) Prec@1 66.406 (66.406) Prec@5 90.625 (90.625)
Test: [10/196] Time 0.150 (0.634) Loss 1.9624 (1.7347) Prec@1 50.391 (57.848) Prec@5 81.250 (81.641)
Test: [20/196] Time 0.151 (0.404) Loss 1.9970 (1.7386) Prec@1 58.984 (57.943) Prec@5 76.953 (81.306)
Test: [30/196] Time 0.149 (0.325) Loss 1.5401 (1.6760) Prec@1 58.594 (59.211) Prec@5 87.891 (82.661)
Test: [40/196] Time 0.152 (0.282) Loss 1.8909 (1.7861) Prec@1 55.469 (55.440) Prec@5 80.859 (81.421)
Test: [50/196] Time 0.150 (0.258) Loss 1.2230 (1.7536) Prec@1 66.797 (55.561) Prec@5 91.797 (82.445)
Test: [60/196] Time 0.150 (0.241) Loss 2.0776 (1.7548) Prec@1 44.141 (55.277) Prec@5 80.469 (82.563)
Test: [70/196] Time 0.149 (0.228) Loss 1.9377 (1.7371) Prec@1 54.297 (55.678) Prec@5 78.125 (82.724)
Test: [80/196] Time 0.148 (0.218) Loss 2.9123 (1.7741) Prec@1 39.062 (55.324) Prec@5 64.062 (82.171)
Test: [90/196] Time 0.149 (0.211) Loss 3.6448 (1.8800) Prec@1 26.953 (53.662) Prec@5 49.219 (80.443)
Test: [100/196] Time 0.151 (0.205) Loss 3.4075 (1.9682) Prec@1 22.656 (52.181) Prec@5 56.641 (78.964)
Test: [110/196] Time 0.150 (0.201) Loss 2.1108 (2.0043) Prec@1 55.078 (51.693) Prec@5 73.828 (78.304)
Test: [120/196] Time 0.148 (0.196) Loss 2.9146 (2.0522) Prec@1 40.625 (51.081) Prec@5 64.453 (77.495)
Test: [130/196] Time 0.149 (0.193) Loss 2.1629 (2.0919) Prec@1 50.781 (50.301) Prec@5 73.828 (76.882)
Test: [140/196] Time 0.155 (0.190) Loss 2.4129 (2.1304) Prec@1 44.141 (49.753) Prec@5 73.828 (76.194)
Test: [150/196] Time 0.148 (0.188) Loss 2.7293 (2.1667) Prec@1 42.188 (49.283) Prec@5 67.188 (75.541)
Test: [160/196] Time 0.152 (0.185) Loss 2.2038 (2.1957) Prec@1 51.172 (48.884) Prec@5 74.609 (75.039)
Test: [170/196] Time 0.163 (0.184) Loss 1.5883 (2.2238) Prec@1 62.109 (48.360) Prec@5 83.984 (74.589)
Test: [180/196] Time 0.148 (0.182) Loss 1.9268 (2.2470) Prec@1 46.094 (47.943) Prec@5 76.562 (74.223)
Test: [190/196] Time 0.148 (0.180) Loss 1.7265 (2.2328) Prec@1 56.250 (48.168) Prec@5 85.547 (74.554)
* Prec@1 48.484 Prec@5 74.750
Epoch: [8][0/5005] Time 5.222 (5.222) Data 5.042 (5.042) Loss 2.7874 (2.7874) Prec@1 37.891 (37.891) Prec@5 63.281 (63.281)
Epoch: [8][10/5005] Time 0.474 (0.897) Data 0.000 (0.459) Loss 2.7836 (2.7706) Prec@1 37.500 (38.210) Prec@5 65.234 (64.915)
Epoch: [8][20/5005] Time 0.452 (0.690) Data 0.000 (0.240) Loss 2.7751 (2.7931) Prec@1 39.062 (38.653) Prec@5 66.406 (64.807)
Epoch: [8][30/5005] Time 0.455 (0.617) Data 0.000 (0.163) Loss 2.8162 (2.7925) Prec@1 37.891 (39.075) Prec@5 67.578 (65.234)
Epoch: [8][40/5005] Time 0.473 (0.581) Data 0.000 (0.123) Loss 2.7873 (2.8037) Prec@1 39.844 (38.691) Prec@5 65.234 (65.215)
Epoch: [8][50/5005] Time 0.450 (0.557) Data 0.000 (0.099) Loss 2.8326 (2.7792) Prec@1 40.234 (39.262) Prec@5 60.938 (65.319)
Epoch: [8][60/5005] Time 0.458 (0.542) Data 0.000 (0.083) Loss 2.9824 (2.7726) Prec@1 37.500 (39.274) Prec@5 62.891 (65.593)
Epoch: [8][70/5005] Time 0.451 (0.531) Data 0.000 (0.071) Loss 2.7880 (2.7705) Prec@1 37.500 (39.365) Prec@5 66.016 (65.581)
Epoch: [8][80/5005] Time 0.457 (0.523) Data 0.000 (0.063) Loss 2.8575 (2.7780) Prec@1 36.719 (39.270) Prec@5 62.109 (65.321)
Epoch: [8][90/5005] Time 0.477 (0.517) Data 0.000 (0.056) Loss 2.5692 (2.7717) Prec@1 40.625 (39.299) Prec@5 68.750 (65.410)
Epoch: [8][100/5005] Time 0.472 (0.512) Data 0.000 (0.050) Loss 2.5377 (2.7736) Prec@1 42.969 (39.353) Prec@5 67.578 (65.393)
Epoch: [8][110/5005] Time 0.439 (0.507) Data 0.000 (0.046) Loss 2.7604 (2.7791) Prec@1 42.578 (39.351) Prec@5 64.844 (65.227)
Epoch: [8][120/5005] Time 0.459 (0.504) Data 0.000 (0.042) Loss 2.7941 (2.7805) Prec@1 43.750 (39.431) Prec@5 62.891 (65.209)
Epoch: [8][130/5005] Time 0.453 (0.501) Data 0.000 (0.039) Loss 2.7140 (2.7822) Prec@1 41.797 (39.420) Prec@5 66.797 (65.199)
Epoch: [8][140/5005] Time 0.465 (0.498) Data 0.000 (0.036) Loss 2.7366 (2.7803) Prec@1 40.234 (39.400) Prec@5 67.188 (65.262)
Epoch: [8][150/5005] Time 0.477 (0.496) Data 0.000 (0.034) Loss 2.8162 (2.7790) Prec@1 41.016 (39.448) Prec@5 66.016 (65.340)
Epoch: [8][160/5005] Time 0.454 (0.494) Data 0.000 (0.032) Loss 2.7633 (2.7795) Prec@1 37.500 (39.412) Prec@5 68.750 (65.361)
Epoch: [8][170/5005] Time 0.454 (0.492) Data 0.000 (0.030) Loss 2.8337 (2.7817) Prec@1 37.109 (39.387) Prec@5 62.891 (65.301)
Epoch: [8][180/5005] Time 0.455 (0.491) Data 0.000 (0.028) Loss 3.1520 (2.7885) Prec@1 33.984 (39.244) Prec@5 58.203 (65.191)
Epoch: [8][190/5005] Time 0.471 (0.489) Data 0.000 (0.027) Loss 2.8907 (2.7919) Prec@1 35.938 (39.200) Prec@5 60.156 (65.054)
Epoch: [8][200/5005] Time 0.452 (0.488) Data 0.000 (0.026) Loss 2.7588 (2.7919) Prec@1 40.625 (39.239) Prec@5 66.406 (65.077)
Epoch: [8][210/5005] Time 0.469 (0.487) Data 0.000 (0.024) Loss 2.7471 (2.7897) Prec@1 36.719 (39.249) Prec@5 68.359 (65.151)
Epoch: [8][220/5005] Time 0.452 (0.485) Data 0.000 (0.023) Loss 2.8247 (2.7898) Prec@1 37.500 (39.268) Prec@5 62.500 (65.169)
Epoch: [8][230/5005] Time 0.467 (0.485) Data 0.000 (0.022) Loss 2.8327 (2.7896) Prec@1 34.375 (39.252) Prec@5 62.500 (65.146)
Epoch: [8][240/5005] Time 0.450 (0.484) Data 0.000 (0.021) Loss 2.7105 (2.7890) Prec@1 40.234 (39.236) Prec@5 65.234 (65.158)
Epoch: [8][250/5005] Time 0.473 (0.483) Data 0.000 (0.021) Loss 2.6961 (2.7876) Prec@1 41.016 (39.283) Prec@5 66.406 (65.161)
Epoch: [8][260/5005] Time 0.482 (0.482) Data 0.000 (0.020) Loss 2.8263 (2.7885) Prec@1 37.500 (39.239) Prec@5 67.578 (65.166)
Epoch: [8][270/5005] Time 0.473 (0.482) Data 0.000 (0.019) Loss 2.8257 (2.7858) Prec@1 37.891 (39.309) Prec@5 64.844 (65.259)
Epoch: [8][280/5005] Time 0.445 (0.481) Data 0.000 (0.018) Loss 2.8259 (2.7856) Prec@1 41.797 (39.354) Prec@5 65.625 (65.259)
Epoch: [8][290/5005] Time 0.471 (0.480) Data 0.000 (0.018) Loss 2.4848 (2.7858) Prec@1 44.141 (39.406) Prec@5 69.531 (65.249)
Epoch: [8][300/5005] Time 0.473 (0.480) Data 0.000 (0.017) Loss 2.6251 (2.7844) Prec@1 45.703 (39.449) Prec@5 69.531 (65.278)
Epoch: [8][310/5005] Time 0.463 (0.479) Data 0.000 (0.017) Loss 2.7133 (2.7850) Prec@1 41.797 (39.431) Prec@5 65.234 (65.253)
Epoch: [8][320/5005] Time 0.467 (0.479) Data 0.000 (0.016) Loss 2.7873 (2.7877) Prec@1 43.750 (39.397) Prec@5 68.359 (65.214)
Epoch: [8][330/5005] Time 0.478 (0.479) Data 0.000 (0.016) Loss 2.7129 (2.7872) Prec@1 44.531 (39.415) Prec@5 67.188 (65.195)
Epoch: [8][340/5005] Time 0.467 (0.478) Data 0.000 (0.015) Loss 2.7484 (2.7898) Prec@1 38.281 (39.347) Prec@5 67.578 (65.127)
Epoch: [8][350/5005] Time 0.462 (0.478) Data 0.000 (0.015) Loss 2.8436 (2.7900) Prec@1 38.672 (39.344) Prec@5 64.453 (65.102)
Epoch: [8][360/5005] Time 0.451 (0.477) Data 0.000 (0.014) Loss 2.7093 (2.7894) Prec@1 40.234 (39.354) Prec@5 64.453 (65.097)
Epoch: [8][370/5005] Time 0.469 (0.477) Data 0.000 (0.014) Loss 2.8182 (2.7882) Prec@1 39.062 (39.379) Prec@5 67.188 (65.135)
Epoch: [8][380/5005] Time 0.454 (0.477) Data 0.000 (0.014) Loss 2.5781 (2.7862) Prec@1 39.453 (39.405) Prec@5 65.625 (65.153)
Epoch: [8][390/5005] Time 0.453 (0.476) Data 0.000 (0.013) Loss 2.7100 (2.7846) Prec@1 44.531 (39.443) Prec@5 66.016 (65.169)
Epoch: [8][400/5005] Time 0.469 (0.476) Data 0.000 (0.013) Loss 2.7187 (2.7841) Prec@1 39.453 (39.444) Prec@5 66.016 (65.180)
Epoch: [8][410/5005] Time 0.457 (0.476) Data 0.000 (0.013) Loss 2.4807 (2.7825) Prec@1 42.188 (39.447) Prec@5 68.359 (65.194)
Epoch: [8][420/5005] Time 0.446 (0.475) Data 0.000 (0.012) Loss 2.6916 (2.7803) Prec@1 44.141 (39.499) Prec@5 66.406 (65.214)
Epoch: [8][430/5005] Time 0.468 (0.475) Data 0.000 (0.012) Loss 2.8994 (2.7809) Prec@1 35.938 (39.488) Prec@5 62.500 (65.186)
Epoch: [8][440/5005] Time 0.472 (0.475) Data 0.000 (0.012) Loss 2.8392 (2.7801) Prec@1 37.500 (39.494) Prec@5 66.016 (65.205)
Epoch: [8][450/5005] Time 0.457 (0.474) Data 0.000 (0.012) Loss 2.8796 (2.7799) Prec@1 39.062 (39.489) Prec@5 61.719 (65.168)
Epoch: [8][460/5005] Time 0.468 (0.474) Data 0.000 (0.011) Loss 3.0247 (2.7818) Prec@1 37.891 (39.472) Prec@5 60.547 (65.112)
Epoch: [8][470/5005] Time 0.454 (0.474) Data 0.000 (0.011) Loss 3.0763 (2.7811) Prec@1 32.031 (39.497) Prec@5 59.375 (65.134)
Epoch: [8][480/5005] Time 0.472 (0.474) Data 0.000 (0.011) Loss 2.7800 (2.7811) Prec@1 38.281 (39.496) Prec@5 65.234 (65.137)
Epoch: [8][490/5005] Time 0.467 (0.473) Data 0.000 (0.011) Loss 2.7180 (2.7806) Prec@1 39.453 (39.504) Prec@5 66.797 (65.154)
Epoch: [8][500/5005] Time 0.460 (0.473) Data 0.000 (0.011) Loss 2.6783 (2.7800) Prec@1 41.797 (39.496) Prec@5 66.797 (65.174)
Epoch: [8][510/5005] Time 0.449 (0.473) Data 0.000 (0.010) Loss 2.8263 (2.7810) Prec@1 38.281 (39.474) Prec@5 61.328 (65.156)
Epoch: [8][520/5005] Time 0.461 (0.473) Data 0.000 (0.010) Loss 2.7720 (2.7803) Prec@1 37.109 (39.467) Prec@5 64.453 (65.161)
Epoch: [8][530/5005] Time 0.469 (0.473) Data 0.000 (0.010) Loss 2.7669 (2.7786) Prec@1 42.188 (39.483) Prec@5 64.062 (65.194)
Epoch: [8][540/5005] Time 0.482 (0.473) Data 0.000 (0.010) Loss 2.7855 (2.7795) Prec@1 36.328 (39.458) Prec@5 65.234 (65.159)
Epoch: [8][550/5005] Time 0.446 (0.472) Data 0.000 (0.010) Loss 2.6677 (2.7797) Prec@1 43.359 (39.455) Prec@5 65.234 (65.159)
Epoch: [8][560/5005] Time 0.457 (0.472) Data 0.000 (0.009) Loss 2.7025 (2.7788) Prec@1 44.531 (39.474) Prec@5 67.969 (65.159)
Epoch: [8][570/5005] Time 0.472 (0.472) Data 0.000 (0.009) Loss 2.8434 (2.7788) Prec@1 41.016 (39.485) Prec@5 62.500 (65.161)
Epoch: [8][580/5005] Time 0.454 (0.472) Data 0.000 (0.009) Loss 2.9706 (2.7805) Prec@1 37.109 (39.460) Prec@5 64.062 (65.130)
Epoch: [8][590/5005] Time 0.458 (0.472) Data 0.000 (0.009) Loss 2.7632 (2.7799) Prec@1 35.938 (39.460) Prec@5 63.672 (65.137)
Epoch: [8][600/5005] Time 0.476 (0.472) Data 0.000 (0.009) Loss 2.8785 (2.7783) Prec@1 40.234 (39.477) Prec@5 66.016 (65.180)
Epoch: [8][610/5005] Time 0.468 (0.472) Data 0.000 (0.009) Loss 2.6074 (2.7788) Prec@1 42.969 (39.469) Prec@5 69.141 (65.181)
Epoch: [8][620/5005] Time 0.467 (0.471) Data 0.000 (0.009) Loss 2.7553 (2.7774) Prec@1 44.141 (39.481) Prec@5 67.969 (65.207)
Epoch: [8][630/5005] Time 0.467 (0.471) Data 0.000 (0.008) Loss 2.5980 (2.7759) Prec@1 47.656 (39.500) Prec@5 69.531 (65.220)
Epoch: [8][640/5005] Time 0.471 (0.471) Data 0.000 (0.008) Loss 2.7199 (2.7759) Prec@1 39.453 (39.500) Prec@5 65.625 (65.219)
Epoch: [8][650/5005] Time 0.480 (0.471) Data 0.000 (0.008) Loss 3.0028 (2.7764) Prec@1 37.500 (39.487) Prec@5 63.281 (65.217)
Epoch: [8][660/5005] Time 0.454 (0.471) Data 0.000 (0.008) Loss 2.9057 (2.7763) Prec@1 38.281 (39.471) Prec@5 63.672 (65.215)
Epoch: [8][670/5005] Time 0.448 (0.471) Data 0.000 (0.008) Loss 2.5169 (2.7754) Prec@1 41.406 (39.479) Prec@5 65.625 (65.228)
Epoch: [8][680/5005] Time 0.457 (0.471) Data 0.000 (0.008) Loss 2.5732 (2.7767) Prec@1 45.703 (39.460) Prec@5 71.484 (65.209)
Epoch: [8][690/5005] Time 0.457 (0.471) Data 0.000 (0.008) Loss 2.8744 (2.7767) Prec@1 42.188 (39.475) Prec@5 62.500 (65.209)
Epoch: [8][700/5005] Time 0.480 (0.471) Data 0.000 (0.008) Loss 2.6071 (2.7760) Prec@1 40.625 (39.481) Prec@5 66.406 (65.233)
Epoch: [8][710/5005] Time 0.453 (0.470) Data 0.000 (0.008) Loss 2.8368 (2.7765) Prec@1 41.016 (39.462) Prec@5 60.938 (65.222)
Epoch: [8][720/5005] Time 0.475 (0.470) Data 0.000 (0.007) Loss 2.9604 (2.7769) Prec@1 34.375 (39.468) Prec@5 60.938 (65.225)
Epoch: [8][730/5005] Time 0.453 (0.470) Data 0.000 (0.007) Loss 2.7876 (2.7777) Prec@1 41.016 (39.452) Prec@5 64.453 (65.217)
Epoch: [8][740/5005] Time 0.454 (0.470) Data 0.000 (0.007) Loss 2.7862 (2.7776) Prec@1 39.062 (39.455) Prec@5 62.891 (65.217)
Epoch: [8][750/5005] Time 0.477 (0.470) Data 0.000 (0.007) Loss 2.4253 (2.7769) Prec@1 48.438 (39.465) Prec@5 72.656 (65.229)
Epoch: [8][760/5005] Time 0.450 (0.470) Data 0.000 (0.007) Loss 2.8726 (2.7765) Prec@1 37.891 (39.467) Prec@5 64.453 (65.236)
Epoch: [8][770/5005] Time 0.468 (0.470) Data 0.000 (0.007) Loss 2.7144 (2.7758) Prec@1 42.578 (39.473) Prec@5 66.016 (65.255)
Epoch: [8][780/5005] Time 0.475 (0.470) Data 0.000 (0.007) Loss 2.5439 (2.7758) Prec@1 44.922 (39.468) Prec@5 67.969 (65.252)
Epoch: [8][790/5005] Time 0.474 (0.470) Data 0.000 (0.007) Loss 2.7369 (2.7749) Prec@1 41.016 (39.473) Prec@5 67.969 (65.263)
Epoch: [8][800/5005] Time 0.477 (0.470) Data 0.000 (0.007) Loss 2.4257 (2.7734) Prec@1 45.703 (39.489) Prec@5 72.656 (65.299)
Epoch: [8][810/5005] Time 0.455 (0.470) Data 0.000 (0.007) Loss 2.8261 (2.7740) Prec@1 36.328 (39.482) Prec@5 66.406 (65.288)
Epoch: [8][820/5005] Time 0.471 (0.470) Data 0.000 (0.007) Loss 2.8738 (2.7738) Prec@1 38.672 (39.481) Prec@5 65.625 (65.305)
Epoch: [8][830/5005] Time 0.464 (0.470) Data 0.000 (0.007) Loss 2.6676 (2.7738) Prec@1 37.500 (39.475) Prec@5 65.625 (65.303)
Epoch: [8][840/5005] Time 0.453 (0.470) Data 0.001 (0.006) Loss 2.8568 (2.7741) Prec@1 39.062 (39.487) Prec@5 62.500 (65.295)
Epoch: [8][850/5005] Time 0.468 (0.470) Data 0.000 (0.006) Loss 2.7796 (2.7736) Prec@1 41.797 (39.492) Prec@5 67.188 (65.289)
Epoch: [8][860/5005] Time 0.478 (0.470) Data 0.000 (0.006) Loss 2.6701 (2.7730) Prec@1 38.672 (39.505) Prec@5 64.062 (65.302)
Epoch: [8][870/5005] Time 0.460 (0.469) Data 0.000 (0.006) Loss 2.8873 (2.7729) Prec@1 38.281 (39.511) Prec@5 67.188 (65.300)
Epoch: [8][880/5005] Time 0.468 (0.469) Data 0.000 (0.006) Loss 2.8158 (2.7724) Prec@1 39.844 (39.517) Prec@5 63.672 (65.311)
Epoch: [8][890/5005] Time 0.465 (0.469) Data 0.000 (0.006) Loss 2.6190 (2.7729) Prec@1 37.891 (39.508) Prec@5 69.922 (65.305)
Epoch: [8][900/5005] Time 0.458 (0.469) Data 0.000 (0.006) Loss 2.7948 (2.7730) Prec@1 38.281 (39.507) Prec@5 63.281 (65.305)
Epoch: [8][910/5005] Time 0.461 (0.469) Data 0.000 (0.006) Loss 2.7847 (2.7737) Prec@1 40.234 (39.489) Prec@5 65.234 (65.291)
Epoch: [8][920/5005] Time 0.458 (0.469) Data 0.000 (0.006) Loss 2.7613 (2.7735) Prec@1 39.844 (39.489) Prec@5 67.188 (65.291)
Epoch: [8][930/5005] Time 0.450 (0.469) Data 0.000 (0.006) Loss 2.6326 (2.7738) Prec@1 41.406 (39.492) Prec@5 67.578 (65.277)
Epoch: [8][940/5005] Time 0.477 (0.469) Data 0.000 (0.006) Loss 2.7396 (2.7738) Prec@1 40.625 (39.490) Prec@5 64.062 (65.277)
Epoch: [8][950/5005] Time 0.460 (0.469) Data 0.000 (0.006) Loss 2.5429 (2.7736) Prec@1 40.234 (39.486) Prec@5 70.312 (65.283)
Epoch: [8][960/5005] Time 0.472 (0.469) Data 0.000 (0.006) Loss 2.9243 (2.7736) Prec@1 39.844 (39.495) Prec@5 61.328 (65.290)
Epoch: [8][970/5005] Time 0.479 (0.469) Data 0.000 (0.006) Loss 2.6041 (2.7741) Prec@1 42.188 (39.478) Prec@5 66.797 (65.281)
Epoch: [8][980/5005] Time 0.472 (0.469) Data 0.000 (0.006) Loss 2.6544 (2.7741) Prec@1 46.484 (39.480) Prec@5 67.578 (65.283)
Epoch: [8][990/5005] Time 0.455 (0.469) Data 0.000 (0.006) Loss 2.4654 (2.7732) Prec@1 47.266 (39.491) Prec@5 72.656 (65.305)
Epoch: [8][1000/5005] Time 0.443 (0.469) Data 0.000 (0.005) Loss 2.6884 (2.7738) Prec@1 39.844 (39.476) Prec@5 67.578 (65.297)
Epoch: [8][1010/5005] Time 0.482 (0.469) Data 0.000 (0.005) Loss 2.7750 (2.7733) Prec@1 39.453 (39.477) Prec@5 64.844 (65.303)
Epoch: [8][1020/5005] Time 0.470 (0.469) Data 0.000 (0.005) Loss 2.8862 (2.7740) Prec@1 37.891 (39.459) Prec@5 64.062 (65.287)
Epoch: [8][1030/5005] Time 0.459 (0.469) Data 0.000 (0.005) Loss 2.7017 (2.7737) Prec@1 39.844 (39.456) Prec@5 65.234 (65.291)
Epoch: [8][1040/5005] Time 0.454 (0.469) Data 0.000 (0.005) Loss 2.7238 (2.7736) Prec@1 40.625 (39.465) Prec@5 63.672 (65.291)
Epoch: [8][1050/5005] Time 0.468 (0.468) Data 0.000 (0.005) Loss 2.6650 (2.7731) Prec@1 39.844 (39.467) Prec@5 64.844 (65.296)
Epoch: [8][1060/5005] Time 0.474 (0.468) Data 0.000 (0.005) Loss 2.7983 (2.7732) Prec@1 39.844 (39.465) Prec@5 64.062 (65.287)
Epoch: [8][1070/5005] Time 0.450 (0.468) Data 0.000 (0.005) Loss 3.1283 (2.7736) Prec@1 32.812 (39.455) Prec@5 57.812 (65.283)
Epoch: [8][1080/5005] Time 0.456 (0.468) Data 0.000 (0.005) Loss 2.8512 (2.7729) Prec@1 38.281 (39.468) Prec@5 67.578 (65.297)
Epoch: [8][1090/5005] Time 0.452 (0.468) Data 0.000 (0.005) Loss 2.9141 (2.7728) Prec@1 33.594 (39.470) Prec@5 62.891 (65.297)
Epoch: [8][1100/5005] Time 0.461 (0.468) Data 0.000 (0.005) Loss 2.7914 (2.7731) Prec@1 36.328 (39.470) Prec@5 65.234 (65.291)
Epoch: [8][1110/5005] Time 0.450 (0.468) Data 0.000 (0.005) Loss 2.8502 (2.7726) Prec@1 36.328 (39.476) Prec@5 61.719 (65.294)
Epoch: [8][1120/5005] Time 0.449 (0.468) Data 0.000 (0.005) Loss 2.9906 (2.7726) Prec@1 35.938 (39.473) Prec@5 63.281 (65.296)
Epoch: [8][1130/5005] Time 0.451 (0.468) Data 0.000 (0.005) Loss 2.7219 (2.7727) Prec@1 39.844 (39.455) Prec@5 67.188 (65.297)
Epoch: [8][1140/5005] Time 0.466 (0.468) Data 0.000 (0.005) Loss 2.8343 (2.7733) Prec@1 41.406 (39.438) Prec@5 64.062 (65.289)
Epoch: [8][1150/5005] Time 0.456 (0.468) Data 0.000 (0.005) Loss 3.1946 (2.7739) Prec@1 32.812 (39.434) Prec@5 57.812 (65.283)
Epoch: [8][1160/5005] Time 0.464 (0.468) Data 0.000 (0.005) Loss 2.9175 (2.7736) Prec@1 37.109 (39.442) Prec@5 66.016 (65.292)
Epoch: [8][1170/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 2.9414 (2.7735) Prec@1 34.375 (39.450) Prec@5 61.719 (65.288)
Epoch: [8][1180/5005] Time 0.453 (0.468) Data 0.000 (0.005) Loss 2.9943 (2.7740) Prec@1 34.766 (39.445) Prec@5 62.891 (65.278)
Epoch: [8][1190/5005] Time 0.471 (0.468) Data 0.000 (0.005) Loss 2.7783 (2.7740) Prec@1 41.016 (39.451) Prec@5 63.672 (65.278)
Epoch: [8][1200/5005] Time 0.461 (0.468) Data 0.000 (0.005) Loss 3.1023 (2.7738) Prec@1 35.156 (39.463) Prec@5 58.594 (65.276)
Epoch: [8][1210/5005] Time 0.455 (0.468) Data 0.000 (0.005) Loss 2.5784 (2.7734) Prec@1 43.750 (39.463) Prec@5 64.453 (65.271)
Epoch: [8][1220/5005] Time 0.474 (0.468) Data 0.000 (0.005) Loss 2.9690 (2.7731) Prec@1 32.812 (39.464) Prec@5 62.500 (65.277)
Epoch: [8][1230/5005] Time 0.464 (0.468) Data 0.000 (0.005) Loss 2.7369 (2.7725) Prec@1 38.281 (39.470) Prec@5 66.016 (65.289)
Epoch: [8][1240/5005] Time 0.477 (0.468) Data 0.000 (0.005) Loss 2.6139 (2.7718) Prec@1 41.016 (39.483) Prec@5 66.406 (65.300)
Epoch: [8][1250/5005] Time 0.452 (0.468) Data 0.000 (0.004) Loss 2.5431 (2.7712) Prec@1 41.797 (39.492) Prec@5 68.750 (65.314)
Epoch: [8][1260/5005] Time 0.462 (0.468) Data 0.000 (0.004) Loss 2.6901 (2.7707) Prec@1 39.453 (39.489) Prec@5 61.719 (65.324)
Epoch: [8][1270/5005] Time 0.471 (0.468) Data 0.000 (0.004) Loss 2.6952 (2.7705) Prec@1 39.453 (39.497) Prec@5 68.750 (65.324)
Epoch: [8][1280/5005] Time 0.472 (0.468) Data 0.000 (0.004) Loss 2.7509 (2.7701) Prec@1 42.578 (39.508) Prec@5 64.844 (65.321)
Epoch: [8][1290/5005] Time 0.464 (0.468) Data 0.000 (0.004) Loss 2.6422 (2.7698) Prec@1 39.844 (39.507) Prec@5 68.750 (65.326)
Epoch: [8][1300/5005] Time 0.472 (0.468) Data 0.000 (0.004) Loss 2.9532 (2.7697) Prec@1 37.109 (39.507) Prec@5 63.281 (65.330)
Epoch: [8][1310/5005] Time 0.464 (0.468) Data 0.000 (0.004) Loss 2.7650 (2.7696) Prec@1 36.719 (39.509) Prec@5 65.625 (65.334)
Epoch: [8][1320/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 2.6642 (2.7693) Prec@1 42.969 (39.514) Prec@5 67.578 (65.341)
Epoch: [8][1330/5005] Time 0.472 (0.467) Data 0.000 (0.004) Loss 2.9000 (2.7700) Prec@1 37.500 (39.500) Prec@5 64.453 (65.332)
Epoch: [8][1340/5005] Time 0.459 (0.467) Data 0.000 (0.004) Loss 2.6347 (2.7695) Prec@1 43.359 (39.507) Prec@5 66.797 (65.333)
Epoch: [8][1350/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 2.7030 (2.7692) Prec@1 42.188 (39.512) Prec@5 66.406 (65.335)
Epoch: [8][1360/5005] Time 0.459 (0.467) Data 0.000 (0.004) Loss 2.7118 (2.7694) Prec@1 40.625 (39.512) Prec@5 66.406 (65.322)
Epoch: [8][1370/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 2.8505 (2.7696) Prec@1 37.891 (39.510) Prec@5 65.234 (65.316)
Epoch: [8][1380/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 2.8644 (2.7694) Prec@1 40.234 (39.510) Prec@5 59.766 (65.314)
Epoch: [8][1390/5005] Time 0.463 (0.467) Data 0.000 (0.004) Loss 2.5415 (2.7694) Prec@1 41.016 (39.511) Prec@5 68.359 (65.308)
Epoch: [8][1400/5005] Time 0.463 (0.467) Data 0.000 (0.004) Loss 2.6697 (2.7698) Prec@1 41.797 (39.508) Prec@5 67.969 (65.299)
Epoch: [8][1410/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 2.8384 (2.7696) Prec@1 40.625 (39.504) Prec@5 69.531 (65.312)
Epoch: [8][1420/5005] Time 0.464 (0.467) Data 0.000 (0.004) Loss 2.7201 (2.7694) Prec@1 35.938 (39.506) Prec@5 66.406 (65.315)
Epoch: [8][1430/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 2.6001 (2.7698) Prec@1 39.844 (39.500) Prec@5 69.922 (65.310)
Epoch: [8][1440/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 2.5105 (2.7696) Prec@1 45.703 (39.499) Prec@5 66.797 (65.314)
Epoch: [8][1450/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 2.6931 (2.7693) Prec@1 41.016 (39.500) Prec@5 66.016 (65.322)
Epoch: [8][1460/5005] Time 0.459 (0.467) Data 0.000 (0.004) Loss 2.7498 (2.7691) Prec@1 40.625 (39.498) Prec@5 67.578 (65.333)
Epoch: [8][1470/5005] Time 0.459 (0.467) Data 0.000 (0.004) Loss 2.7426 (2.7692) Prec@1 37.500 (39.488) Prec@5 66.406 (65.338)
Epoch: [8][1480/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 2.7550 (2.7693) Prec@1 42.578 (39.482) Prec@5 66.406 (65.337)
Epoch: [8][1490/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 3.0422 (2.7692) Prec@1 33.594 (39.484) Prec@5 62.109 (65.342)
Epoch: [8][1500/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 2.8139 (2.7696) Prec@1 38.281 (39.476) Prec@5 65.625 (65.339)
Epoch: [8][1510/5005] Time 0.463 (0.467) Data 0.000 (0.004) Loss 2.7092 (2.7695) Prec@1 41.016 (39.479) Prec@5 65.625 (65.338)
Epoch: [8][1520/5005] Time 0.456 (0.466) Data 0.000 (0.004) Loss 2.8795 (2.7697) Prec@1 39.453 (39.482) Prec@5 58.594 (65.324)
Epoch: [8][1530/5005] Time 0.457 (0.466) Data 0.000 (0.004) Loss 2.9163 (2.7698) Prec@1 42.188 (39.484) Prec@5 64.062 (65.325)
Epoch: [8][1540/5005] Time 0.462 (0.466) Data 0.000 (0.004) Loss 2.5877 (2.7692) Prec@1 41.797 (39.498) Prec@5 69.531 (65.338)
Epoch: [8][1550/5005] Time 0.458 (0.466) Data 0.000 (0.004) Loss 2.9873 (2.7694) Prec@1 37.500 (39.488) Prec@5 60.547 (65.330)
Epoch: [8][1560/5005] Time 0.461 (0.466) Data 0.001 (0.004) Loss 2.6312 (2.7693) Prec@1 41.797 (39.481) Prec@5 66.797 (65.336)
Epoch: [8][1570/5005] Time 0.458 (0.466) Data 0.000 (0.004) Loss 2.9738 (2.7694) Prec@1 35.547 (39.473) Prec@5 61.719 (65.337)
Epoch: [8][1580/5005] Time 0.456 (0.466) Data 0.001 (0.004) Loss 2.6181 (2.7689) Prec@1 43.750 (39.483) Prec@5 67.188 (65.347)
Epoch: [8][1590/5005] Time 0.462 (0.466) Data 0.000 (0.004) Loss 2.6820 (2.7688) Prec@1 40.625 (39.486) Prec@5 67.188 (65.346)
Epoch: [8][1600/5005] Time 0.455 (0.466) Data 0.000 (0.004) Loss 2.8040 (2.7688) Prec@1 39.062 (39.489) Prec@5 67.578 (65.345)
Epoch: [8][1610/5005] Time 0.459 (0.466) Data 0.000 (0.004) Loss 2.8751 (2.7687) Prec@1 36.328 (39.490) Prec@5 67.188 (65.348)
Epoch: [8][1620/5005] Time 0.453 (0.466) Data 0.000 (0.004) Loss 2.6228 (2.7692) Prec@1 43.750 (39.480) Prec@5 66.406 (65.343)
Epoch: [8][1630/5005] Time 0.464 (0.466) Data 0.000 (0.004) Loss 2.5590 (2.7692) Prec@1 41.797 (39.478) Prec@5 67.969 (65.344)
Epoch: [8][1640/5005] Time 0.462 (0.466) Data 0.000 (0.004) Loss 2.8367 (2.7695) Prec@1 42.969 (39.474) Prec@5 64.453 (65.336)
Epoch: [8][1650/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 2.6120 (2.7695) Prec@1 42.188 (39.474) Prec@5 68.750 (65.334)
Epoch: [8][1660/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.6298 (2.7699) Prec@1 39.844 (39.473) Prec@5 67.969 (65.330)
Epoch: [8][1670/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.6876 (2.7698) Prec@1 40.625 (39.472) Prec@5 69.922 (65.331)
Epoch: [8][1680/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 2.7861 (2.7699) Prec@1 37.500 (39.475) Prec@5 62.891 (65.331)
Epoch: [8][1690/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 3.1167 (2.7699) Prec@1 35.156 (39.478) Prec@5 59.375 (65.336)
Epoch: [8][1700/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.6916 (2.7697) Prec@1 43.359 (39.484) Prec@5 66.016 (65.337)
Epoch: [8][1710/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 2.9468 (2.7695) Prec@1 37.891 (39.491) Prec@5 59.766 (65.341)
Epoch: [8][1720/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.9502 (2.7696) Prec@1 40.625 (39.493) Prec@5 60.156 (65.338)
Epoch: [8][1730/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 2.7139 (2.7698) Prec@1 41.797 (39.497) Prec@5 64.844 (65.329)
Epoch: [8][1740/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.8128 (2.7698) Prec@1 38.281 (39.495) Prec@5 64.844 (65.328)
Epoch: [8][1750/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 2.8893 (2.7699) Prec@1 32.812 (39.495) Prec@5 61.328 (65.327)
Epoch: [8][1760/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 2.7767 (2.7699) Prec@1 41.016 (39.497) Prec@5 66.016 (65.328)
Epoch: [8][1770/5005] Time 0.455 (0.465) Data 0.000 (0.003) Loss 2.8039 (2.7700) Prec@1 38.281 (39.493) Prec@5 64.453 (65.325)
Epoch: [8][1780/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 2.8074 (2.7699) Prec@1 37.891 (39.496) Prec@5 62.891 (65.324)
Epoch: [8][1790/5005] Time 0.453 (0.465) Data 0.000 (0.003) Loss 2.8782 (2.7701) Prec@1 37.500 (39.487) Prec@5 62.500 (65.321)
Epoch: [8][1800/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 2.5732 (2.7703) Prec@1 41.797 (39.492) Prec@5 66.406 (65.313)
Epoch: [8][1810/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 2.8255 (2.7703) Prec@1 35.938 (39.493) Prec@5 65.625 (65.314)
Epoch: [8][1820/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 3.0964 (2.7698) Prec@1 38.281 (39.506) Prec@5 60.547 (65.326)
Epoch: [8][1830/5005] Time 0.464 (0.465) Data 0.000 (0.003) Loss 2.6196 (2.7695) Prec@1 39.453 (39.513) Prec@5 66.797 (65.332)
Epoch: [8][1840/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 2.6591 (2.7695) Prec@1 39.453 (39.511) Prec@5 66.406 (65.333)
Epoch: [8][1850/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 2.5652 (2.7694) Prec@1 42.969 (39.509) Prec@5 69.531 (65.337)
Epoch: [8][1860/5005] Time 0.465 (0.465) Data 0.000 (0.003) Loss 2.7271 (2.7693) Prec@1 39.062 (39.505) Prec@5 66.016 (65.334)
Epoch: [8][1870/5005] Time 0.458 (0.465) Data 0.000 (0.003) Loss 2.3861 (2.7690) Prec@1 44.922 (39.518) Prec@5 73.047 (65.339)
Epoch: [8][1880/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 2.6947 (2.7688) Prec@1 39.453 (39.525) Prec@5 66.406 (65.343)
Epoch: [8][1890/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 2.6293 (2.7686) Prec@1 40.625 (39.523) Prec@5 71.484 (65.350)
Epoch: [8][1900/5005] Time 0.459 (0.465) Data 0.000 (0.003) Loss 2.9149 (2.7688) Prec@1 41.016 (39.523) Prec@5 62.500 (65.348)
Epoch: [8][1910/5005] Time 0.463 (0.465) Data 0.001 (0.003) Loss 3.0714 (2.7693) Prec@1 37.109 (39.521) Prec@5 56.641 (65.337)
Epoch: [8][1920/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 2.9817 (2.7694) Prec@1 35.547 (39.522) Prec@5 60.938 (65.335)
Epoch: [8][1930/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 3.0271 (2.7694) Prec@1 37.109 (39.525) Prec@5 62.500 (65.333)
Epoch: [8][1940/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 2.9987 (2.7693) Prec@1 34.375 (39.527) Prec@5 62.891 (65.333)
Epoch: [8][1950/5005] Time 0.464 (0.465) Data 0.000 (0.003) Loss 2.6085 (2.7692) Prec@1 40.234 (39.526) Prec@5 68.750 (65.337)
Epoch: [8][1960/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 2.7274 (2.7688) Prec@1 44.141 (39.536) Prec@5 64.844 (65.340)
Epoch: [8][1970/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 2.8381 (2.7685) Prec@1 39.453 (39.542) Prec@5 65.625 (65.349)
Epoch: [8][1980/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 2.7949 (2.7683) Prec@1 44.141 (39.544) Prec@5 66.406 (65.352)
Epoch: [8][1990/5005] Time 0.452 (0.465) Data 0.000 (0.003) Loss 2.8245 (2.7684) Prec@1 37.891 (39.550) Prec@5 64.453 (65.349)
Epoch: [8][2000/5005] Time 0.453 (0.465) Data 0.000 (0.003) Loss 2.7890 (2.7686) Prec@1 40.625 (39.549) Prec@5 62.891 (65.347)
Epoch: [8][2010/5005] Time 0.461 (0.465) Data 0.000 (0.003) Loss 2.7526 (2.7682) Prec@1 41.797 (39.554) Prec@5 66.016 (65.357)
Epoch: [8][2020/5005] Time 0.463 (0.465) Data 0.001 (0.003) Loss 2.8274 (2.7685) Prec@1 37.500 (39.549) Prec@5 66.016 (65.354)
Epoch: [8][2030/5005] Time 0.463 (0.465) Data 0.000 (0.003) Loss 2.5491 (2.7683) Prec@1 43.750 (39.551) Prec@5 67.578 (65.352)
Epoch: [8][2040/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 2.8081 (2.7686) Prec@1 36.719 (39.547) Prec@5 64.062 (65.347)
Epoch: [8][2050/5005] Time 0.451 (0.465) Data 0.000 (0.003) Loss 3.1511 (2.7685) Prec@1 33.203 (39.553) Prec@5 60.156 (65.348)
Epoch: [8][2060/5005] Time 0.462 (0.465) Data 0.000 (0.003) Loss 2.7255 (2.7684) Prec@1 39.453 (39.554) Prec@5 65.625 (65.353)
Epoch: [8][2070/5005] Time 0.457 (0.465) Data 0.000 (0.003) Loss 2.7060 (2.7684) Prec@1 40.234 (39.547) Prec@5 65.234 (65.352)
Epoch: [8][2080/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.8231 (2.7688) Prec@1 36.328 (39.540) Prec@5 63.281 (65.344)
Epoch: [8][2090/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 2.8403 (2.7689) Prec@1 38.672 (39.534) Prec@5 64.453 (65.345)
Epoch: [8][2100/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 3.0012 (2.7691) Prec@1 37.109 (39.535) Prec@5 61.328 (65.343)
Epoch: [8][2110/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 2.7326 (2.7693) Prec@1 40.625 (39.528) Prec@5 67.578 (65.342)
Epoch: [8][2120/5005] Time 0.463 (0.464) Data 0.001 (0.003) Loss 2.8649 (2.7694) Prec@1 37.109 (39.529) Prec@5 64.062 (65.344)
Epoch: [8][2130/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 2.6328 (2.7690) Prec@1 41.797 (39.542) Prec@5 69.922 (65.351)
Epoch: [8][2140/5005] Time 0.464 (0.464) Data 0.000 (0.003) Loss 2.9791 (2.7691) Prec@1 37.109 (39.540) Prec@5 62.891 (65.346)
Epoch: [8][2150/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 2.9219 (2.7696) Prec@1 37.500 (39.537) Prec@5 66.797 (65.339)
Epoch: [8][2160/5005] Time 0.454 (0.464) Data 0.000 (0.003) Loss 2.7651 (2.7697) Prec@1 39.453 (39.541) Prec@5 66.797 (65.337)
Epoch: [8][2170/5005] Time 0.465 (0.464) Data 0.000 (0.003) Loss 2.8247 (2.7696) Prec@1 40.234 (39.542) Prec@5 66.406 (65.342)
Epoch: [8][2180/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.7393 (2.7697) Prec@1 41.797 (39.542) Prec@5 65.625 (65.340)
Epoch: [8][2190/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 2.8614 (2.7699) Prec@1 37.109 (39.534) Prec@5 64.062 (65.334)
Epoch: [8][2200/5005] Time 0.454 (0.464) Data 0.000 (0.003) Loss 3.0139 (2.7700) Prec@1 37.109 (39.537) Prec@5 61.719 (65.333)
Epoch: [8][2210/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.4434 (2.7697) Prec@1 43.750 (39.542) Prec@5 69.922 (65.336)
Epoch: [8][2220/5005] Time 0.464 (0.464) Data 0.000 (0.003) Loss 2.6511 (2.7693) Prec@1 40.625 (39.551) Prec@5 66.406 (65.346)
Epoch: [8][2230/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.5364 (2.7692) Prec@1 41.797 (39.552) Prec@5 68.750 (65.346)
Epoch: [8][2240/5005] Time 0.454 (0.464) Data 0.000 (0.003) Loss 2.7746 (2.7693) Prec@1 43.750 (39.555) Prec@5 66.016 (65.347)
Epoch: [8][2250/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 2.7056 (2.7689) Prec@1 42.188 (39.561) Prec@5 67.188 (65.351)
Epoch: [8][2260/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 2.5881 (2.7684) Prec@1 41.016 (39.566) Prec@5 67.969 (65.361)
Epoch: [8][2270/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.8054 (2.7681) Prec@1 39.453 (39.569) Prec@5 65.234 (65.370)
Epoch: [8][2280/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.9338 (2.7684) Prec@1 39.844 (39.564) Prec@5 62.891 (65.361)
Epoch: [8][2290/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.8133 (2.7682) Prec@1 37.109 (39.564) Prec@5 61.328 (65.364)
Epoch: [8][2300/5005] Time 0.452 (0.464) Data 0.000 (0.003) Loss 2.4428 (2.7679) Prec@1 45.703 (39.572) Prec@5 72.656 (65.370)
Epoch: [8][2310/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.5930 (2.7677) Prec@1 41.016 (39.576) Prec@5 70.312 (65.375)
Epoch: [8][2320/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.6241 (2.7677) Prec@1 40.625 (39.579) Prec@5 68.750 (65.379)
Epoch: [8][2330/5005] Time 0.457 (0.464) Data 0.000 (0.003) Loss 2.7989 (2.7676) Prec@1 42.188 (39.584) Prec@5 65.625 (65.381)
Epoch: [8][2340/5005] Time 0.454 (0.464) Data 0.000 (0.003) Loss 2.5765 (2.7676) Prec@1 42.969 (39.586) Prec@5 66.016 (65.377)
Epoch: [8][2350/5005] Time 0.463 (0.464) Data 0.000 (0.003) Loss 2.9296 (2.7671) Prec@1 37.891 (39.592) Prec@5 61.328 (65.378)
Epoch: [8][2360/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.6666 (2.7671) Prec@1 42.188 (39.595) Prec@5 67.188 (65.380)
Epoch: [8][2370/5005] Time 0.452 (0.464) Data 0.000 (0.003) Loss 2.5977 (2.7669) Prec@1 37.891 (39.598) Prec@5 67.969 (65.384)
Epoch: [8][2380/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.7326 (2.7666) Prec@1 42.969 (39.602) Prec@5 68.359 (65.390)
Epoch: [8][2390/5005] Time 0.451 (0.464) Data 0.000 (0.003) Loss 2.6122 (2.7668) Prec@1 41.016 (39.595) Prec@5 71.094 (65.388)
Epoch: [8][2400/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.7270 (2.7666) Prec@1 38.281 (39.592) Prec@5 66.406 (65.389)
Epoch: [8][2410/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 2.8119 (2.7666) Prec@1 37.891 (39.597) Prec@5 64.453 (65.387)
Epoch: [8][2420/5005] Time 0.463 (0.464) Data 0.000 (0.003) Loss 2.8304 (2.7665) Prec@1 39.844 (39.598) Prec@5 64.844 (65.391)
Epoch: [8][2430/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.7591 (2.7664) Prec@1 41.016 (39.601) Prec@5 64.453 (65.393)
Epoch: [8][2440/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.4951 (2.7665) Prec@1 41.016 (39.598) Prec@5 69.531 (65.385)
Epoch: [8][2450/5005] Time 0.461 (0.464) Data 0.000 (0.002) Loss 2.5727 (2.7667) Prec@1 41.406 (39.596) Prec@5 69.141 (65.381)
Epoch: [8][2460/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 2.6563 (2.7666) Prec@1 42.969 (39.597) Prec@5 67.188 (65.380)
Epoch: [8][2470/5005] Time 0.462 (0.464) Data 0.000 (0.002) Loss 2.8334 (2.7664) Prec@1 37.891 (39.597) Prec@5 62.891 (65.381)
Epoch: [8][2480/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 2.8220 (2.7668) Prec@1 39.453 (39.592) Prec@5 63.281 (65.379)
Epoch: [8][2490/5005] Time 0.463 (0.464) Data 0.000 (0.002) Loss 2.7072 (2.7671) Prec@1 39.453 (39.590) Prec@5 65.234 (65.372)
Epoch: [8][2500/5005] Time 0.455 (0.464) Data 0.000 (0.002) Loss 2.7327 (2.7673) Prec@1 42.969 (39.585) Prec@5 66.406 (65.373)
Epoch: [8][2510/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 2.8753 (2.7676) Prec@1 37.891 (39.581) Prec@5 66.406 (65.368)
Epoch: [8][2520/5005] Time 0.452 (0.464) Data 0.000 (0.002) Loss 2.7140 (2.7681) Prec@1 40.625 (39.576) Prec@5 67.578 (65.361)
Epoch: [8][2530/5005] Time 0.457 (0.464) Data 0.000 (0.002) Loss 2.8020 (2.7679) Prec@1 39.453 (39.582) Prec@5 65.234 (65.364)
Epoch: [8][2540/5005] Time 0.456 (0.464) Data 0.000 (0.002) Loss 2.6883 (2.7677) Prec@1 42.188 (39.585) Prec@5 64.062 (65.362)
Epoch: [8][2550/5005] Time 0.460 (0.464) Data 0.000 (0.002) Loss 2.6278 (2.7676) Prec@1 44.922 (39.589) Prec@5 66.797 (65.360)
Epoch: [8][2560/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.7053 (2.7675) Prec@1 39.062 (39.588) Prec@5 67.578 (65.366)
Epoch: [8][2570/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.6719 (2.7673) Prec@1 43.750 (39.590) Prec@5 69.141 (65.368)
Epoch: [8][2580/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.7126 (2.7673) Prec@1 37.500 (39.590) Prec@5 67.188 (65.371)
Epoch: [8][2590/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 2.4118 (2.7672) Prec@1 44.922 (39.593) Prec@5 72.656 (65.372)
Epoch: [8][2600/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.9393 (2.7671) Prec@1 34.766 (39.593) Prec@5 64.453 (65.372)
Epoch: [8][2610/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.7613 (2.7674) Prec@1 45.312 (39.588) Prec@5 66.797 (65.370)
Epoch: [8][2620/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.4810 (2.7668) Prec@1 39.844 (39.595) Prec@5 68.359 (65.379)
Epoch: [8][2630/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.8462 (2.7667) Prec@1 36.719 (39.591) Prec@5 64.453 (65.381)
Epoch: [8][2640/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.7842 (2.7668) Prec@1 40.234 (39.592) Prec@5 68.359 (65.382)
Epoch: [8][2650/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.8494 (2.7667) Prec@1 36.328 (39.592) Prec@5 63.281 (65.386)
Epoch: [8][2660/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 2.8849 (2.7669) Prec@1 39.062 (39.592) Prec@5 64.062 (65.384)
Epoch: [8][2670/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.9365 (2.7669) Prec@1 37.891 (39.589) Prec@5 63.672 (65.383)
Epoch: [8][2680/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 2.7322 (2.7665) Prec@1 41.406 (39.598) Prec@5 65.625 (65.390)
Epoch: [8][2690/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.8514 (2.7663) Prec@1 39.062 (39.607) Prec@5 63.672 (65.395)
Epoch: [8][2700/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 2.7283 (2.7661) Prec@1 37.500 (39.606) Prec@5 65.234 (65.397)
Epoch: [8][2710/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.8075 (2.7660) Prec@1 37.500 (39.607) Prec@5 64.062 (65.398)
Epoch: [8][2720/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.8558 (2.7660) Prec@1 37.500 (39.606) Prec@5 64.453 (65.400)
Epoch: [8][2730/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.7077 (2.7663) Prec@1 42.188 (39.600) Prec@5 65.234 (65.391)
Epoch: [8][2740/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.7055 (2.7662) Prec@1 39.844 (39.601) Prec@5 67.969 (65.394)
Epoch: [8][2750/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.6822 (2.7662) Prec@1 36.719 (39.600) Prec@5 66.797 (65.392)
Epoch: [8][2760/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 2.7449 (2.7662) Prec@1 40.234 (39.602) Prec@5 66.406 (65.390)
Epoch: [8][2770/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.7303 (2.7662) Prec@1 36.719 (39.604) Prec@5 64.844 (65.385)
Epoch: [8][2780/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.8402 (2.7660) Prec@1 44.531 (39.608) Prec@5 65.625 (65.390)
Epoch: [8][2790/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 2.8017 (2.7661) Prec@1 41.016 (39.610) Prec@5 65.625 (65.390)
Epoch: [8][2800/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.6982 (2.7661) Prec@1 42.578 (39.610) Prec@5 64.062 (65.388)
Epoch: [8][2810/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.6543 (2.7660) Prec@1 39.062 (39.614) Prec@5 61.719 (65.389)
Epoch: [8][2820/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.6524 (2.7660) Prec@1 35.938 (39.616) Prec@5 69.141 (65.388)
Epoch: [8][2830/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.8487 (2.7659) Prec@1 38.672 (39.616) Prec@5 62.500 (65.387)
Epoch: [8][2840/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.7598 (2.7661) Prec@1 39.453 (39.615) Prec@5 63.281 (65.386)
Epoch: [8][2850/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.5315 (2.7659) Prec@1 43.359 (39.615) Prec@5 66.016 (65.388)
Epoch: [8][2860/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.5709 (2.7659) Prec@1 41.797 (39.615) Prec@5 69.141 (65.390)
Epoch: [8][2870/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.7115 (2.7659) Prec@1 40.234 (39.616) Prec@5 67.578 (65.393)
Epoch: [8][2880/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.8738 (2.7658) Prec@1 41.406 (39.618) Prec@5 64.844 (65.396)
Epoch: [8][2890/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 2.7525 (2.7655) Prec@1 41.016 (39.621) Prec@5 66.797 (65.399)
Epoch: [8][2900/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 2.8342 (2.7655) Prec@1 36.719 (39.620) Prec@5 68.359 (65.400)
Epoch: [8][2910/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.8608 (2.7655) Prec@1 40.625 (39.621) Prec@5 66.406 (65.405)
Epoch: [8][2920/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.7724 (2.7655) Prec@1 38.672 (39.623) Prec@5 68.359 (65.406)
Epoch: [8][2930/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 2.7892 (2.7654) Prec@1 37.891 (39.623) Prec@5 64.062 (65.408)
Epoch: [8][2940/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 3.0526 (2.7654) Prec@1 33.984 (39.624) Prec@5 60.938 (65.409)
Epoch: [8][2950/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.5960 (2.7652) Prec@1 45.703 (39.631) Prec@5 67.969 (65.411)
Epoch: [8][2960/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.5739 (2.7651) Prec@1 42.188 (39.629) Prec@5 71.875 (65.412)
Epoch: [8][2970/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.5415 (2.7648) Prec@1 42.969 (39.635) Prec@5 67.578 (65.419)
Epoch: [8][2980/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.7143 (2.7644) Prec@1 39.844 (39.642) Prec@5 67.188 (65.431)
Epoch: [8][2990/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.6935 (2.7643) Prec@1 42.578 (39.642) Prec@5 67.578 (65.431)
Epoch: [8][3000/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.7127 (2.7642) Prec@1 37.500 (39.646) Prec@5 63.281 (65.432)
Epoch: [8][3010/5005] Time 0.451 (0.463) Data 0.000 (0.002) Loss 2.6887 (2.7641) Prec@1 38.672 (39.643) Prec@5 66.406 (65.431)
Epoch: [8][3020/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.7979 (2.7639) Prec@1 39.844 (39.646) Prec@5 66.016 (65.431)
Epoch: [8][3030/5005] Time 0.454 (0.463) Data 0.000 (0.002) Loss 2.6569 (2.7641) Prec@1 44.922 (39.646) Prec@5 66.016 (65.428)
Epoch: [8][3040/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.7717 (2.7642) Prec@1 41.016 (39.648) Prec@5 64.453 (65.427)
Epoch: [8][3050/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.9442 (2.7641) Prec@1 42.188 (39.652) Prec@5 61.719 (65.424)
Epoch: [8][3060/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.7206 (2.7642) Prec@1 39.453 (39.653) Prec@5 64.844 (65.425)
Epoch: [8][3070/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 2.7458 (2.7641) Prec@1 41.406 (39.652) Prec@5 66.016 (65.424)
Epoch: [8][3080/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.7863 (2.7640) Prec@1 39.453 (39.655) Prec@5 64.453 (65.422)
Epoch: [8][3090/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.6280 (2.7639) Prec@1 40.625 (39.655) Prec@5 66.797 (65.425)
Epoch: [8][3100/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.6164 (2.7636) Prec@1 42.578 (39.657) Prec@5 67.578 (65.430)
Epoch: [8][3110/5005] Time 0.453 (0.463) Data 0.000 (0.002) Loss 2.8247 (2.7637) Prec@1 42.578 (39.655) Prec@5 64.453 (65.431)
Epoch: [8][3120/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 2.5622 (2.7636) Prec@1 44.141 (39.660) Prec@5 66.016 (65.428)
Epoch: [8][3130/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.5772 (2.7636) Prec@1 42.969 (39.658) Prec@5 67.578 (65.427)
Epoch: [8][3140/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 2.6772 (2.7636) Prec@1 41.406 (39.660) Prec@5 68.359 (65.427)
Epoch: [8][3150/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.8318 (2.7635) Prec@1 37.109 (39.660) Prec@5 64.844 (65.428)
Epoch: [8][3160/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.8264 (2.7633) Prec@1 41.016 (39.666) Prec@5 64.453 (65.431)
Epoch: [8][3170/5005] Time 0.463 (0.463) Data 0.000 (0.002) Loss 2.7228 (2.7634) Prec@1 41.016 (39.668) Prec@5 67.578 (65.430)
Epoch: [8][3180/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.6947 (2.7635) Prec@1 39.062 (39.668) Prec@5 64.844 (65.426)
Epoch: [8][3190/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.5135 (2.7635) Prec@1 42.188 (39.671) Prec@5 68.750 (65.427)
Epoch: [8][3200/5005] Time 0.464 (0.463) Data 0.000 (0.002) Loss 2.6866 (2.7634) Prec@1 41.797 (39.672) Prec@5 67.969 (65.425)
Epoch: [8][3210/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.7935 (2.7634) Prec@1 41.016 (39.673) Prec@5 68.750 (65.426)
Epoch: [8][3220/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.7648 (2.7630) Prec@1 41.406 (39.685) Prec@5 64.062 (65.434)
Epoch: [8][3230/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.7548 (2.7628) Prec@1 34.766 (39.685) Prec@5 64.844 (65.436)
Epoch: [8][3240/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.8815 (2.7626) Prec@1 39.844 (39.686) Prec@5 64.844 (65.439)
Epoch: [8][3250/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.8191 (2.7627) Prec@1 39.453 (39.684) Prec@5 63.672 (65.440)
Epoch: [8][3260/5005] Time 0.452 (0.463) Data 0.000 (0.002) Loss 2.6371 (2.7625) Prec@1 42.188 (39.690) Prec@5 70.703 (65.441)
Epoch: [8][3270/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.8961 (2.7626) Prec@1 41.016 (39.685) Prec@5 61.719 (65.438)
Epoch: [8][3280/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.8971 (2.7626) Prec@1 38.281 (39.686) Prec@5 61.719 (65.437)
Epoch: [8][3290/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.9956 (2.7627) Prec@1 38.672 (39.683) Prec@5 62.109 (65.434)
Epoch: [8][3300/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.7538 (2.7627) Prec@1 36.328 (39.680) Prec@5 66.406 (65.434)
Epoch: [8][3310/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.9010 (2.7625) Prec@1 34.766 (39.680) Prec@5 64.844 (65.437)
Epoch: [8][3320/5005] Time 0.458 (0.463) Data 0.000 (0.002) Loss 2.8785 (2.7628) Prec@1 36.719 (39.678) Prec@5 66.406 (65.433)
Epoch: [8][3330/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.6483 (2.7627) Prec@1 46.094 (39.678) Prec@5 68.750 (65.433)
Epoch: [8][3340/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.7045 (2.7627) Prec@1 40.625 (39.678) Prec@5 66.406 (65.435)
Epoch: [8][3350/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.6372 (2.7625) Prec@1 43.750 (39.683) Prec@5 68.359 (65.440)
Epoch: [8][3360/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.9373 (2.7626) Prec@1 37.109 (39.681) Prec@5 63.281 (65.438)
Epoch: [8][3370/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.4668 (2.7627) Prec@1 46.094 (39.682) Prec@5 69.531 (65.437)
Epoch: [8][3380/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 3.0856 (2.7627) Prec@1 37.500 (39.682) Prec@5 56.641 (65.435)
Epoch: [8][3390/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.6120 (2.7628) Prec@1 40.234 (39.683) Prec@5 70.312 (65.431)
Epoch: [8][3400/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.0865 (2.7628) Prec@1 34.766 (39.682) Prec@5 58.203 (65.428)
Epoch: [8][3410/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.7740 (2.7629) Prec@1 40.234 (39.681) Prec@5 64.453 (65.427)
Epoch: [8][3420/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.6594 (2.7629) Prec@1 39.062 (39.682) Prec@5 65.625 (65.429)
Epoch: [8][3430/5005] Time 0.451 (0.462) Data 0.000 (0.002) Loss 2.6562 (2.7626) Prec@1 39.844 (39.686) Prec@5 66.406 (65.435)
Epoch: [8][3440/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.8550 (2.7626) Prec@1 38.672 (39.687) Prec@5 66.016 (65.433)
Epoch: [8][3450/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.8559 (2.7625) Prec@1 41.797 (39.687) Prec@5 65.625 (65.435)
Epoch: [8][3460/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.6359 (2.7625) Prec@1 42.578 (39.689) Prec@5 65.234 (65.434)
Epoch: [8][3470/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.6311 (2.7621) Prec@1 40.625 (39.698) Prec@5 66.406 (65.440)
Epoch: [8][3480/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.7196 (2.7621) Prec@1 37.500 (39.703) Prec@5 65.625 (65.442)
Epoch: [8][3490/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.4861 (2.7622) Prec@1 39.844 (39.698) Prec@5 69.531 (65.439)
Epoch: [8][3500/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.6825 (2.7621) Prec@1 38.281 (39.700) Prec@5 66.406 (65.440)
Epoch: [8][3510/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.8942 (2.7621) Prec@1 36.328 (39.699) Prec@5 64.062 (65.439)
Epoch: [8][3520/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.7475 (2.7622) Prec@1 38.672 (39.697) Prec@5 65.234 (65.440)
Epoch: [8][3530/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 2.6482 (2.7621) Prec@1 44.141 (39.698) Prec@5 67.188 (65.441)
Epoch: [8][3540/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.9416 (2.7621) Prec@1 39.453 (39.700) Prec@5 61.719 (65.441)
Epoch: [8][3550/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.5875 (2.7621) Prec@1 41.797 (39.699) Prec@5 70.312 (65.443)
Epoch: [8][3560/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.8621 (2.7623) Prec@1 35.938 (39.696) Prec@5 64.844 (65.437)
Epoch: [8][3570/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.7190 (2.7625) Prec@1 36.328 (39.694) Prec@5 64.844 (65.435)
Epoch: [8][3580/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.6558 (2.7624) Prec@1 40.234 (39.694) Prec@5 69.531 (65.436)
Epoch: [8][3590/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.8337 (2.7626) Prec@1 36.328 (39.687) Prec@5 61.328 (65.435)
Epoch: [8][3600/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.6942 (2.7626) Prec@1 40.234 (39.688) Prec@5 64.844 (65.436)
Epoch: [8][3610/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.7995 (2.7626) Prec@1 36.719 (39.686) Prec@5 65.234 (65.434)
Epoch: [8][3620/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.7330 (2.7625) Prec@1 38.281 (39.688) Prec@5 67.188 (65.436)
Epoch: [8][3630/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 3.0022 (2.7627) Prec@1 37.109 (39.686) Prec@5 59.766 (65.431)
Epoch: [8][3640/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.6513 (2.7624) Prec@1 41.797 (39.695) Prec@5 68.750 (65.436)
Epoch: [8][3650/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.4864 (2.7624) Prec@1 42.188 (39.692) Prec@5 70.312 (65.434)
Epoch: [8][3660/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.8176 (2.7624) Prec@1 36.719 (39.692) Prec@5 65.625 (65.434)
Epoch: [8][3670/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.8560 (2.7623) Prec@1 42.578 (39.696) Prec@5 61.719 (65.438)
Epoch: [8][3680/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.8510 (2.7623) Prec@1 41.797 (39.693) Prec@5 66.016 (65.439)
Epoch: [8][3690/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.6124 (2.7620) Prec@1 41.797 (39.697) Prec@5 67.188 (65.444)
Epoch: [8][3700/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.5975 (2.7619) Prec@1 43.750 (39.700) Prec@5 68.359 (65.448)
Epoch: [8][3710/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.5944 (2.7618) Prec@1 44.141 (39.703) Prec@5 67.578 (65.449)
Epoch: [8][3720/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.8801 (2.7617) Prec@1 36.328 (39.705) Prec@5 64.453 (65.453)
Epoch: [8][3730/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.8016 (2.7616) Prec@1 42.578 (39.709) Prec@5 63.281 (65.452)
Epoch: [8][3740/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.7245 (2.7615) Prec@1 42.188 (39.710) Prec@5 64.453 (65.455)
Epoch: [8][3750/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.7379 (2.7613) Prec@1 41.797 (39.712) Prec@5 66.016 (65.459)
Epoch: [8][3760/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.6722 (2.7610) Prec@1 40.234 (39.718) Prec@5 67.188 (65.463)
Epoch: [8][3770/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.7046 (2.7609) Prec@1 40.234 (39.719) Prec@5 69.531 (65.465)
Epoch: [8][3780/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.7027 (2.7607) Prec@1 39.453 (39.722) Prec@5 64.453 (65.470)
Epoch: [8][3790/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.5768 (2.7605) Prec@1 43.750 (39.727) Prec@5 67.969 (65.473)
Epoch: [8][3800/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 2.6059 (2.7605) Prec@1 40.234 (39.728) Prec@5 67.578 (65.473)
Epoch: [8][3810/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.4861 (2.7607) Prec@1 41.406 (39.721) Prec@5 68.750 (65.470)
Epoch: [8][3820/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.5407 (2.7608) Prec@1 41.406 (39.719) Prec@5 68.359 (65.468)
Epoch: [8][3830/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.9347 (2.7610) Prec@1 40.234 (39.717) Prec@5 65.625 (65.467)
Epoch: [8][3840/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.9059 (2.7610) Prec@1 39.062 (39.718) Prec@5 64.453 (65.464)
Epoch: [8][3850/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.9779 (2.7612) Prec@1 35.938 (39.712) Prec@5 63.281 (65.461)
Epoch: [8][3860/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.8444 (2.7612) Prec@1 40.625 (39.712) Prec@5 64.453 (65.458)
Epoch: [8][3870/5005] Time 0.450 (0.462) Data 0.000 (0.002) Loss 2.7047 (2.7611) Prec@1 40.234 (39.716) Prec@5 66.016 (65.462)
Epoch: [8][3880/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.8912 (2.7611) Prec@1 35.156 (39.714) Prec@5 63.281 (65.459)
Epoch: [8][3890/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.7902 (2.7613) Prec@1 41.797 (39.709) Prec@5 64.844 (65.456)
Epoch: [8][3900/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.8207 (2.7614) Prec@1 39.062 (39.707) Prec@5 62.500 (65.453)
Epoch: [8][3910/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.6649 (2.7611) Prec@1 42.188 (39.709) Prec@5 69.531 (65.459)
Epoch: [8][3920/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.7651 (2.7610) Prec@1 39.453 (39.711) Prec@5 66.016 (65.462)
Epoch: [8][3930/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.7714 (2.7611) Prec@1 39.453 (39.709) Prec@5 65.625 (65.463)
Epoch: [8][3940/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.4392 (2.7610) Prec@1 46.484 (39.714) Prec@5 73.047 (65.466)
Epoch: [8][3950/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.6081 (2.7607) Prec@1 38.672 (39.719) Prec@5 67.578 (65.470)
Epoch: [8][3960/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.5412 (2.7607) Prec@1 44.922 (39.723) Prec@5 67.969 (65.472)
Epoch: [8][3970/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.6765 (2.7607) Prec@1 40.234 (39.722) Prec@5 65.625 (65.473)
Epoch: [8][3980/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.7767 (2.7607) Prec@1 37.500 (39.722) Prec@5 62.500 (65.474)
Epoch: [8][3990/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.8623 (2.7608) Prec@1 35.156 (39.717) Prec@5 62.500 (65.472)
Epoch: [8][4000/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.7049 (2.7605) Prec@1 39.062 (39.722) Prec@5 66.016 (65.478)
Epoch: [8][4010/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.9273 (2.7603) Prec@1 34.766 (39.725) Prec@5 62.500 (65.482)
Epoch: [8][4020/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.6391 (2.7603) Prec@1 39.844 (39.726) Prec@5 64.453 (65.482)
Epoch: [8][4030/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.9463 (2.7604) Prec@1 38.281 (39.727) Prec@5 61.719 (65.482)
Epoch: [8][4040/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.7976 (2.7603) Prec@1 37.500 (39.725) Prec@5 65.625 (65.483)
Epoch: [8][4050/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.6878 (2.7601) Prec@1 41.406 (39.730) Prec@5 64.453 (65.487)
Epoch: [8][4060/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.5038 (2.7600) Prec@1 41.016 (39.730) Prec@5 71.094 (65.488)
Epoch: [8][4070/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.6806 (2.7599) Prec@1 39.062 (39.731) Prec@5 69.531 (65.492)
Epoch: [8][4080/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.5482 (2.7597) Prec@1 37.109 (39.732) Prec@5 67.188 (65.494)
Epoch: [8][4090/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.5347 (2.7595) Prec@1 44.922 (39.738) Prec@5 69.531 (65.497)
Epoch: [8][4100/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.4931 (2.7594) Prec@1 43.750 (39.737) Prec@5 71.484 (65.498)
Epoch: [8][4110/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 2.8212 (2.7594) Prec@1 40.234 (39.740) Prec@5 64.453 (65.495)
Epoch: [8][4120/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.6791 (2.7595) Prec@1 41.016 (39.739) Prec@5 67.969 (65.495)
Epoch: [8][4130/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.5996 (2.7595) Prec@1 42.188 (39.738) Prec@5 70.312 (65.493)
Epoch: [8][4140/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.3783 (2.7594) Prec@1 46.094 (39.741) Prec@5 73.828 (65.496)
Epoch: [8][4150/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 2.6636 (2.7593) Prec@1 40.234 (39.743) Prec@5 68.359 (65.499)
Epoch: [8][4160/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.7801 (2.7593) Prec@1 35.547 (39.740) Prec@5 62.109 (65.497)
Epoch: [8][4170/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.5756 (2.7591) Prec@1 42.578 (39.743) Prec@5 69.922 (65.501)
Epoch: [8][4180/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.6405 (2.7592) Prec@1 41.406 (39.741) Prec@5 66.797 (65.498)
Epoch: [8][4190/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.4707 (2.7593) Prec@1 47.266 (39.740) Prec@5 71.094 (65.498)
Epoch: [8][4200/5005] Time 0.465 (0.462) Data 0.001 (0.002) Loss 2.8580 (2.7593) Prec@1 37.109 (39.740) Prec@5 62.109 (65.498)
Epoch: [8][4210/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 2.7531 (2.7592) Prec@1 37.891 (39.740) Prec@5 69.922 (65.500)
Epoch: [8][4220/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.7448 (2.7590) Prec@1 40.625 (39.744) Prec@5 64.844 (65.504)
Epoch: [8][4230/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.7941 (2.7589) Prec@1 41.406 (39.747) Prec@5 67.188 (65.508)
Epoch: [8][4240/5005] Time 0.450 (0.462) Data 0.000 (0.002) Loss 3.0222 (2.7588) Prec@1 34.375 (39.747) Prec@5 60.547 (65.511)
Epoch: [8][4250/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.9706 (2.7587) Prec@1 42.578 (39.748) Prec@5 62.500 (65.512)
Epoch: [8][4260/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.6680 (2.7586) Prec@1 42.969 (39.748) Prec@5 68.359 (65.515)
Epoch: [8][4270/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.8604 (2.7587) Prec@1 38.281 (39.750) Prec@5 62.500 (65.513)
Epoch: [8][4280/5005] Time 0.466 (0.462) Data 0.000 (0.002) Loss 2.7907 (2.7586) Prec@1 41.406 (39.749) Prec@5 61.328 (65.514)
Epoch: [8][4290/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.8614 (2.7585) Prec@1 36.719 (39.750) Prec@5 62.891 (65.514)
Epoch: [8][4300/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 3.0310 (2.7586) Prec@1 37.891 (39.747) Prec@5 63.281 (65.513)
Epoch: [8][4310/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.7236 (2.7586) Prec@1 41.406 (39.747) Prec@5 67.578 (65.513)
Epoch: [8][4320/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.6427 (2.7584) Prec@1 41.406 (39.749) Prec@5 66.406 (65.516)
Epoch: [8][4330/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.7416 (2.7586) Prec@1 38.672 (39.747) Prec@5 65.625 (65.512)
Epoch: [8][4340/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.6170 (2.7584) Prec@1 44.141 (39.751) Prec@5 67.969 (65.513)
Epoch: [8][4350/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.7822 (2.7585) Prec@1 46.094 (39.748) Prec@5 66.797 (65.510)
Epoch: [8][4360/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 2.7774 (2.7585) Prec@1 42.969 (39.751) Prec@5 64.453 (65.510)
Epoch: [8][4370/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.7196 (2.7584) Prec@1 37.109 (39.753) Prec@5 67.188 (65.512)
Epoch: [8][4380/5005] Time 0.463 (0.462) Data 0.001 (0.002) Loss 2.6839 (2.7583) Prec@1 36.328 (39.752) Prec@5 68.750 (65.514)
Epoch: [8][4390/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.6918 (2.7582) Prec@1 40.625 (39.754) Prec@5 67.578 (65.515)
Epoch: [8][4400/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.8351 (2.7582) Prec@1 36.719 (39.754) Prec@5 63.672 (65.515)
Epoch: [8][4410/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.7164 (2.7581) Prec@1 37.109 (39.753) Prec@5 67.969 (65.515)
Epoch: [8][4420/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.7446 (2.7581) Prec@1 35.938 (39.752) Prec@5 66.016 (65.516)
Epoch: [8][4430/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.5892 (2.7579) Prec@1 41.797 (39.753) Prec@5 68.359 (65.521)
Epoch: [8][4440/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.6849 (2.7577) Prec@1 42.188 (39.759) Prec@5 66.016 (65.524)
Epoch: [8][4450/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.5990 (2.7575) Prec@1 38.672 (39.759) Prec@5 66.406 (65.525)
Epoch: [8][4460/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.7446 (2.7574) Prec@1 36.328 (39.762) Prec@5 67.969 (65.529)
Epoch: [8][4470/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.7874 (2.7574) Prec@1 39.453 (39.764) Prec@5 66.406 (65.529)
Epoch: [8][4480/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 2.6698 (2.7573) Prec@1 41.016 (39.764) Prec@5 68.359 (65.530)
Epoch: [8][4490/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.6246 (2.7571) Prec@1 42.578 (39.768) Prec@5 68.359 (65.531)
Epoch: [8][4500/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.6725 (2.7573) Prec@1 43.359 (39.765) Prec@5 67.188 (65.527)
Epoch: [8][4510/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.5979 (2.7571) Prec@1 39.844 (39.767) Prec@5 67.188 (65.528)
Epoch: [8][4520/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.4333 (2.7570) Prec@1 47.266 (39.768) Prec@5 72.656 (65.530)
Epoch: [8][4530/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.8259 (2.7568) Prec@1 37.891 (39.771) Prec@5 63.281 (65.534)
Epoch: [8][4540/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.8494 (2.7567) Prec@1 35.938 (39.772) Prec@5 61.328 (65.534)
Epoch: [8][4550/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.4729 (2.7566) Prec@1 44.531 (39.775) Prec@5 71.484 (65.538)
Epoch: [8][4560/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.7571 (2.7566) Prec@1 39.062 (39.775) Prec@5 67.188 (65.539)
Epoch: [8][4570/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.6321 (2.7565) Prec@1 42.578 (39.777) Prec@5 69.531 (65.540)
Epoch: [8][4580/5005] Time 0.467 (0.462) Data 0.000 (0.002) Loss 2.4994 (2.7564) Prec@1 44.141 (39.782) Prec@5 69.141 (65.541)
Epoch: [8][4590/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.7085 (2.7563) Prec@1 41.406 (39.785) Prec@5 66.406 (65.540)
Epoch: [8][4600/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.9782 (2.7564) Prec@1 32.422 (39.782) Prec@5 60.547 (65.537)
Epoch: [8][4610/5005] Time 0.467 (0.462) Data 0.000 (0.002) Loss 2.7280 (2.7562) Prec@1 43.750 (39.785) Prec@5 66.797 (65.542)
Epoch: [8][4620/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.7066 (2.7561) Prec@1 42.188 (39.786) Prec@5 61.719 (65.541)
Epoch: [8][4630/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.7985 (2.7559) Prec@1 36.719 (39.790) Prec@5 64.062 (65.544)
Epoch: [8][4640/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.5941 (2.7558) Prec@1 44.141 (39.791) Prec@5 66.016 (65.547)
Epoch: [8][4650/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.6846 (2.7558) Prec@1 40.234 (39.792) Prec@5 68.359 (65.547)
Epoch: [8][4660/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.9098 (2.7558) Prec@1 38.281 (39.792) Prec@5 63.672 (65.546)
Epoch: [8][4670/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 2.9269 (2.7559) Prec@1 34.375 (39.791) Prec@5 60.938 (65.544)
Epoch: [8][4680/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 3.0317 (2.7559) Prec@1 38.672 (39.789) Prec@5 60.938 (65.542)
Epoch: [8][4690/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.5101 (2.7559) Prec@1 43.359 (39.790) Prec@5 71.094 (65.541)
Epoch: [8][4700/5005] Time 0.468 (0.462) Data 0.000 (0.002) Loss 2.5972 (2.7557) Prec@1 43.359 (39.795) Prec@5 69.141 (65.545)
Epoch: [8][4710/5005] Time 0.464 (0.462) Data 0.001 (0.002) Loss 2.7188 (2.7555) Prec@1 42.578 (39.800) Prec@5 62.500 (65.547)
Epoch: [8][4720/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.9015 (2.7555) Prec@1 40.625 (39.805) Prec@5 63.672 (65.547)
Epoch: [8][4730/5005] Time 0.451 (0.461) Data 0.000 (0.002) Loss 2.8286 (2.7553) Prec@1 38.672 (39.808) Prec@5 66.406 (65.552)
Epoch: [8][4740/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.7915 (2.7553) Prec@1 42.188 (39.808) Prec@5 63.281 (65.551)
Epoch: [8][4750/5005] Time 0.450 (0.461) Data 0.000 (0.001) Loss 2.7335 (2.7552) Prec@1 44.922 (39.813) Prec@5 63.281 (65.551)
Epoch: [8][4760/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.7808 (2.7552) Prec@1 38.281 (39.813) Prec@5 65.234 (65.553)
Epoch: [8][4770/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.6839 (2.7551) Prec@1 39.844 (39.811) Prec@5 64.453 (65.554)
Epoch: [8][4780/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.8529 (2.7551) Prec@1 39.844 (39.812) Prec@5 64.453 (65.552)
Epoch: [8][4790/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.5701 (2.7553) Prec@1 45.312 (39.811) Prec@5 67.969 (65.554)
Epoch: [8][4800/5005] Time 0.455 (0.461) Data 0.001 (0.001) Loss 2.7314 (2.7552) Prec@1 43.750 (39.815) Prec@5 64.453 (65.555)
Epoch: [8][4810/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.7908 (2.7551) Prec@1 39.844 (39.816) Prec@5 64.062 (65.557)
Epoch: [8][4820/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.9259 (2.7551) Prec@1 38.281 (39.817) Prec@5 63.672 (65.559)
Epoch: [8][4830/5005] Time 0.453 (0.461) Data 0.001 (0.001) Loss 2.7245 (2.7550) Prec@1 43.750 (39.818) Prec@5 63.672 (65.559)
Epoch: [8][4840/5005] Time 0.451 (0.461) Data 0.000 (0.001) Loss 2.7569 (2.7547) Prec@1 40.234 (39.823) Prec@5 67.969 (65.565)
Epoch: [8][4850/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.9252 (2.7548) Prec@1 36.719 (39.822) Prec@5 59.375 (65.563)
Epoch: [8][4860/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.6911 (2.7548) Prec@1 38.281 (39.824) Prec@5 68.750 (65.563)
Epoch: [8][4870/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.6623 (2.7546) Prec@1 38.281 (39.824) Prec@5 67.578 (65.567)
Epoch: [8][4880/5005] Time 0.463 (0.461) Data 0.001 (0.001) Loss 2.6462 (2.7546) Prec@1 43.359 (39.824) Prec@5 68.359 (65.569)
Epoch: [8][4890/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.7419 (2.7545) Prec@1 38.672 (39.825) Prec@5 66.797 (65.568)
Epoch: [8][4900/5005] Time 0.465 (0.461) Data 0.000 (0.001) Loss 2.7085 (2.7543) Prec@1 39.062 (39.829) Prec@5 68.359 (65.569)
Epoch: [8][4910/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 2.4604 (2.7543) Prec@1 46.484 (39.830) Prec@5 66.797 (65.570)
Epoch: [8][4920/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.7637 (2.7542) Prec@1 36.328 (39.831) Prec@5 63.281 (65.570)
Epoch: [8][4930/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.5258 (2.7540) Prec@1 39.844 (39.831) Prec@5 67.188 (65.570)
Epoch: [8][4940/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.7344 (2.7539) Prec@1 40.234 (39.830) Prec@5 64.062 (65.571)
Epoch: [8][4950/5005] Time 0.447 (0.461) Data 0.000 (0.001) Loss 2.7979 (2.7539) Prec@1 41.016 (39.831) Prec@5 64.062 (65.571)
Epoch: [8][4960/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.6299 (2.7539) Prec@1 40.234 (39.833) Prec@5 68.359 (65.571)
Epoch: [8][4970/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 2.7275 (2.7540) Prec@1 38.281 (39.833) Prec@5 62.891 (65.567)
Epoch: [8][4980/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.6911 (2.7540) Prec@1 39.844 (39.833) Prec@5 67.188 (65.568)
Epoch: [8][4990/5005] Time 0.453 (0.461) Data 0.000 (0.001) Loss 2.8434 (2.7539) Prec@1 39.453 (39.837) Prec@5 66.406 (65.569)
Epoch: [8][5000/5005] Time 0.453 (0.461) Data 0.000 (0.001) Loss 2.7457 (2.7538) Prec@1 37.891 (39.837) Prec@5 67.578 (65.571)
Test: [0/196] Time 5.534 (5.534) Loss 1.1956 (1.1956) Prec@1 70.312 (70.312) Prec@5 90.625 (90.625)
Test: [10/196] Time 0.150 (0.640) Loss 1.9865 (1.6515) Prec@1 51.953 (59.801) Prec@5 78.906 (83.274)
Test: [20/196] Time 0.158 (0.408) Loss 1.7913 (1.6919) Prec@1 62.109 (59.077) Prec@5 80.469 (82.440)
Test: [30/196] Time 0.149 (0.325) Loss 1.7880 (1.6564) Prec@1 49.609 (60.018) Prec@5 85.547 (83.002)
Test: [40/196] Time 0.155 (0.283) Loss 1.9984 (1.7365) Prec@1 47.266 (56.650) Prec@5 80.078 (82.460)
Test: [50/196] Time 0.148 (0.258) Loss 1.5048 (1.7047) Prec@1 58.594 (56.526) Prec@5 84.766 (83.188)
Test: [60/196] Time 0.156 (0.241) Loss 2.1478 (1.7082) Prec@1 46.484 (56.570) Prec@5 80.859 (83.254)
Test: [70/196] Time 0.152 (0.228) Loss 1.8776 (1.6944) Prec@1 55.078 (57.064) Prec@5 79.297 (83.341)
Test: [80/196] Time 0.152 (0.218) Loss 2.5603 (1.7108) Prec@1 41.016 (57.055) Prec@5 73.438 (83.049)
Test: [90/196] Time 0.149 (0.211) Loss 3.4084 (1.8057) Prec@1 27.344 (55.486) Prec@5 56.641 (81.628)
Test: [100/196] Time 0.149 (0.205) Loss 3.2327 (1.8854) Prec@1 25.391 (54.138) Prec@5 60.156 (80.306)
Test: [110/196] Time 0.148 (0.201) Loss 1.9180 (1.9241) Prec@1 60.156 (53.635) Prec@5 77.734 (79.564)
Test: [120/196] Time 0.149 (0.197) Loss 2.9813 (1.9622) Prec@1 38.281 (53.274) Prec@5 64.062 (78.922)
Test: [130/196] Time 0.158 (0.193) Loss 1.8838 (2.0014) Prec@1 53.125 (52.502) Prec@5 78.906 (78.328)
Test: [140/196] Time 0.149 (0.190) Loss 2.6562 (2.0421) Prec@1 41.016 (51.831) Prec@5 69.531 (77.540)
Test: [150/196] Time 0.149 (0.188) Loss 2.6837 (2.0804) Prec@1 47.656 (51.317) Prec@5 67.578 (76.873)
Test: [160/196] Time 0.152 (0.185) Loss 2.1912 (2.1070) Prec@1 51.562 (50.910) Prec@5 77.734 (76.422)
Test: [170/196] Time 0.151 (0.184) Loss 1.3595 (2.1339) Prec@1 67.578 (50.402) Prec@5 87.109 (75.959)
Test: [180/196] Time 0.149 (0.182) Loss 1.8863 (2.1501) Prec@1 46.875 (50.069) Prec@5 83.594 (75.751)
Test: [190/196] Time 0.148 (0.180) Loss 1.9983 (2.1429) Prec@1 48.828 (50.198) Prec@5 80.078 (75.886)
* Prec@1 50.532 Prec@5 76.050
Epoch: [9][0/5005] Time 4.641 (4.641) Data 4.463 (4.463) Loss 2.6496 (2.6496) Prec@1 40.625 (40.625) Prec@5 66.406 (66.406)
Epoch: [9][10/5005] Time 0.454 (0.842) Data 0.000 (0.437) Loss 2.5185 (2.6942) Prec@1 44.141 (40.589) Prec@5 68.750 (66.548)
Epoch: [9][20/5005] Time 0.453 (0.662) Data 0.000 (0.229) Loss 2.8427 (2.6945) Prec@1 37.891 (40.513) Prec@5 65.234 (66.332)
Epoch: [9][30/5005] Time 0.476 (0.600) Data 0.000 (0.157) Loss 2.5727 (2.6687) Prec@1 45.703 (41.091) Prec@5 67.578 (66.822)
Epoch: [9][40/5005] Time 0.454 (0.567) Data 0.000 (0.119) Loss 2.7003 (2.6757) Prec@1 40.234 (40.958) Prec@5 63.672 (66.549)
Epoch: [9][50/5005] Time 0.452 (0.546) Data 0.000 (0.096) Loss 2.5879 (2.6476) Prec@1 42.969 (41.399) Prec@5 68.359 (66.889)
Epoch: [9][60/5005] Time 0.469 (0.533) Data 0.000 (0.080) Loss 2.5568 (2.6512) Prec@1 42.188 (41.464) Prec@5 67.188 (66.880)
Epoch: [9][70/5005] Time 0.450 (0.523) Data 0.000 (0.069) Loss 2.6655 (2.6493) Prec@1 42.969 (41.637) Prec@5 66.016 (66.896)
Epoch: [9][80/5005] Time 0.473 (0.516) Data 0.000 (0.060) Loss 2.6487 (2.6592) Prec@1 41.016 (41.392) Prec@5 66.406 (66.720)
Epoch: [9][90/5005] Time 0.467 (0.510) Data 0.000 (0.054) Loss 2.4757 (2.6515) Prec@1 44.922 (41.608) Prec@5 69.922 (66.921)
Epoch: [9][100/5005] Time 0.465 (0.506) Data 0.000 (0.048) Loss 2.7083 (2.6471) Prec@1 35.938 (41.654) Prec@5 66.016 (67.029)
Epoch: [9][110/5005] Time 0.457 (0.502) Data 0.000 (0.044) Loss 2.6750 (2.6484) Prec@1 43.750 (41.649) Prec@5 65.234 (67.026)
Epoch: [9][120/5005] Time 0.455 (0.499) Data 0.000 (0.041) Loss 2.7832 (2.6528) Prec@1 37.891 (41.603) Prec@5 64.453 (67.026)
Epoch: [9][130/5005] Time 0.459 (0.496) Data 0.000 (0.037) Loss 2.8678 (2.6598) Prec@1 39.453 (41.543) Prec@5 64.062 (66.913)
Epoch: [9][140/5005] Time 0.454 (0.494) Data 0.000 (0.035) Loss 2.5080 (2.6635) Prec@1 42.969 (41.445) Prec@5 66.406 (66.850)
Epoch: [9][150/5005] Time 0.476 (0.492) Data 0.000 (0.033) Loss 2.7963 (2.6695) Prec@1 38.281 (41.349) Prec@5 64.453 (66.709)
Epoch: [9][160/5005] Time 0.455 (0.490) Data 0.000 (0.031) Loss 2.6560 (2.6704) Prec@1 40.625 (41.329) Prec@5 70.703 (66.710)
Epoch: [9][170/5005] Time 0.475 (0.489) Data 0.000 (0.029) Loss 2.5585 (2.6644) Prec@1 42.188 (41.447) Prec@5 69.141 (66.852)
Epoch: [9][180/5005] Time 0.473 (0.488) Data 0.000 (0.027) Loss 2.7508 (2.6637) Prec@1 41.016 (41.501) Prec@5 64.062 (66.890)
Epoch: [9][190/5005] Time 0.467 (0.487) Data 0.000 (0.026) Loss 2.3808 (2.6612) Prec@1 46.875 (41.515) Prec@5 71.875 (66.922)
Epoch: [9][200/5005] Time 0.470 (0.485) Data 0.000 (0.025) Loss 2.8122 (2.6615) Prec@1 41.016 (41.556) Prec@5 67.969 (66.945)
Epoch: [9][210/5005] Time 0.467 (0.484) Data 0.000 (0.023) Loss 2.7037 (2.6634) Prec@1 37.891 (41.491) Prec@5 67.188 (66.936)
Epoch: [9][220/5005] Time 0.471 (0.483) Data 0.000 (0.022) Loss 2.7455 (2.6650) Prec@1 39.062 (41.450) Prec@5 65.234 (66.876)
Epoch: [9][230/5005] Time 0.454 (0.482) Data 0.000 (0.021) Loss 2.7354 (2.6617) Prec@1 37.109 (41.465) Prec@5 66.406 (66.914)
Epoch: [9][240/5005] Time 0.451 (0.482) Data 0.000 (0.021) Loss 2.7105 (2.6648) Prec@1 44.141 (41.393) Prec@5 67.969 (66.910)
Epoch: [9][250/5005] Time 0.471 (0.481) Data 0.000 (0.020) Loss 2.8296 (2.6654) Prec@1 40.625 (41.381) Prec@5 63.281 (66.909)
Epoch: [9][260/5005] Time 0.463 (0.481) Data 0.000 (0.019) Loss 2.5035 (2.6669) Prec@1 39.844 (41.342) Prec@5 71.875 (66.867)
Epoch: [9][270/5005] Time 0.456 (0.480) Data 0.000 (0.018) Loss 2.8215 (2.6684) Prec@1 37.500 (41.315) Prec@5 69.141 (66.840)
Epoch: [9][280/5005] Time 0.467 (0.480) Data 0.000 (0.018) Loss 2.6130 (2.6660) Prec@1 41.406 (41.331) Prec@5 68.359 (66.890)
Epoch: [9][290/5005] Time 0.470 (0.479) Data 0.000 (0.017) Loss 2.6581 (2.6667) Prec@1 39.844 (41.302) Prec@5 67.188 (66.887)
Epoch: [9][300/5005] Time 0.471 (0.478) Data 0.001 (0.017) Loss 2.6402 (2.6652) Prec@1 42.969 (41.324) Prec@5 66.797 (66.928)
Epoch: [9][310/5005] Time 0.454 (0.478) Data 0.000 (0.016) Loss 2.7930 (2.6676) Prec@1 38.281 (41.289) Prec@5 59.766 (66.863)
Epoch: [9][320/5005] Time 0.452 (0.478) Data 0.000 (0.016) Loss 2.6370 (2.6667) Prec@1 43.359 (41.310) Prec@5 69.922 (66.884)
Epoch: [9][330/5005] Time 0.458 (0.477) Data 0.000 (0.015) Loss 2.8008 (2.6654) Prec@1 37.500 (41.318) Prec@5 65.234 (66.897)
Epoch: [9][340/5005] Time 0.461 (0.477) Data 0.000 (0.015) Loss 2.7897 (2.6659) Prec@1 38.281 (41.266) Prec@5 64.844 (66.879)
Epoch: [9][350/5005] Time 0.456 (0.477) Data 0.000 (0.014) Loss 2.5642 (2.6662) Prec@1 42.969 (41.258) Prec@5 66.797 (66.874)
Epoch: [9][360/5005] Time 0.457 (0.476) Data 0.001 (0.014) Loss 2.5195 (2.6647) Prec@1 41.797 (41.267) Prec@5 70.312 (66.910)
Epoch: [9][370/5005] Time 0.479 (0.476) Data 0.000 (0.014) Loss 2.4850 (2.6648) Prec@1 46.484 (41.277) Prec@5 72.266 (66.911)
Epoch: [9][380/5005] Time 0.468 (0.476) Data 0.000 (0.013) Loss 2.5536 (2.6620) Prec@1 43.359 (41.308) Prec@5 69.531 (66.972)
Epoch: [9][390/5005] Time 0.471 (0.475) Data 0.000 (0.013) Loss 2.6530 (2.6618) Prec@1 41.016 (41.322) Prec@5 66.016 (66.978)
Epoch: [9][400/5005] Time 0.470 (0.475) Data 0.000 (0.013) Loss 2.5303 (2.6639) Prec@1 43.359 (41.290) Prec@5 71.094 (66.948)
Epoch: [9][410/5005] Time 0.468 (0.475) Data 0.000 (0.012) Loss 2.5842 (2.6634) Prec@1 44.141 (41.287) Prec@5 68.359 (66.974)
Epoch: [9][420/5005] Time 0.467 (0.475) Data 0.000 (0.012) Loss 2.6680 (2.6634) Prec@1 40.625 (41.283) Prec@5 66.406 (66.960)
Epoch: [9][430/5005] Time 0.456 (0.474) Data 0.000 (0.012) Loss 2.3468 (2.6627) Prec@1 44.531 (41.280) Prec@5 73.047 (66.982)
Epoch: [9][440/5005] Time 0.462 (0.474) Data 0.000 (0.011) Loss 2.7098 (2.6630) Prec@1 42.188 (41.308) Prec@5 68.750 (66.991)
Epoch: [9][450/5005] Time 0.477 (0.474) Data 0.000 (0.011) Loss 2.4004 (2.6639) Prec@1 45.312 (41.288) Prec@5 70.312 (66.954)
Epoch: [9][460/5005] Time 0.456 (0.474) Data 0.000 (0.011) Loss 2.6181 (2.6634) Prec@1 40.625 (41.287) Prec@5 67.188 (66.955)
Epoch: [9][470/5005] Time 0.474 (0.473) Data 0.000 (0.011) Loss 2.9434 (2.6636) Prec@1 40.234 (41.294) Prec@5 61.328 (66.954)
Epoch: [9][480/5005] Time 0.471 (0.473) Data 0.000 (0.011) Loss 2.6355 (2.6636) Prec@1 41.406 (41.310) Prec@5 69.141 (66.974)
Epoch: [9][490/5005] Time 0.459 (0.473) Data 0.000 (0.010) Loss 2.9251 (2.6648) Prec@1 41.016 (41.305) Prec@5 62.109 (66.958)
Epoch: [9][500/5005] Time 0.451 (0.473) Data 0.000 (0.010) Loss 2.7036 (2.6666) Prec@1 42.969 (41.297) Prec@5 68.359 (66.930)
Epoch: [9][510/5005] Time 0.458 (0.473) Data 0.000 (0.010) Loss 2.5708 (2.6665) Prec@1 40.625 (41.295) Prec@5 68.359 (66.918)
Epoch: [9][520/5005] Time 0.451 (0.472) Data 0.000 (0.010) Loss 2.7998 (2.6690) Prec@1 43.750 (41.254) Prec@5 64.844 (66.892)
Epoch: [9][530/5005] Time 0.473 (0.472) Data 0.000 (0.010) Loss 2.6590 (2.6694) Prec@1 41.797 (41.264) Prec@5 66.797 (66.888)
Epoch: [9][540/5005] Time 0.458 (0.472) Data 0.000 (0.009) Loss 2.6424 (2.6683) Prec@1 40.234 (41.298) Prec@5 68.359 (66.915)
Epoch: [9][550/5005] Time 0.472 (0.472) Data 0.000 (0.009) Loss 2.7010 (2.6707) Prec@1 43.359 (41.273) Prec@5 67.969 (66.888)
Epoch: [9][560/5005] Time 0.462 (0.472) Data 0.000 (0.009) Loss 2.5957 (2.6704) Prec@1 42.969 (41.277) Prec@5 65.625 (66.885)
Epoch: [9][570/5005] Time 0.454 (0.472) Data 0.000 (0.009) Loss 2.7970 (2.6694) Prec@1 43.750 (41.311) Prec@5 66.797 (66.910)
Epoch: [9][580/5005] Time 0.454 (0.471) Data 0.000 (0.009) Loss 2.7611 (2.6696) Prec@1 41.797 (41.314) Prec@5 66.406 (66.915)
Epoch: [9][590/5005] Time 0.447 (0.471) Data 0.000 (0.009) Loss 2.6173 (2.6702) Prec@1 41.797 (41.308) Prec@5 63.672 (66.898)
Epoch: [9][600/5005] Time 0.477 (0.471) Data 0.000 (0.009) Loss 2.8258 (2.6720) Prec@1 37.500 (41.274) Prec@5 66.016 (66.881)
Epoch: [9][610/5005] Time 0.456 (0.471) Data 0.000 (0.008) Loss 2.5203 (2.6711) Prec@1 44.922 (41.281) Prec@5 69.922 (66.899)
Epoch: [9][620/5005] Time 0.460 (0.471) Data 0.000 (0.008) Loss 2.6394 (2.6713) Prec@1 40.625 (41.283) Prec@5 65.625 (66.880)
Epoch: [9][630/5005] Time 0.470 (0.471) Data 0.000 (0.008) Loss 2.6147 (2.6709) Prec@1 42.969 (41.297) Prec@5 69.531 (66.893)
Epoch: [9][640/5005] Time 0.483 (0.471) Data 0.000 (0.008) Loss 2.6808 (2.6711) Prec@1 37.500 (41.296) Prec@5 66.406 (66.882)
Epoch: [9][650/5005] Time 0.470 (0.471) Data 0.001 (0.008) Loss 3.0194 (2.6710) Prec@1 37.891 (41.314) Prec@5 62.500 (66.882)
Epoch: [9][660/5005] Time 0.456 (0.470) Data 0.000 (0.008) Loss 2.6902 (2.6709) Prec@1 41.016 (41.303) Prec@5 69.922 (66.890)
Epoch: [9][670/5005] Time 0.455 (0.470) Data 0.000 (0.008) Loss 2.6303 (2.6702) Prec@1 44.531 (41.319) Prec@5 67.188 (66.900)
Epoch: [9][680/5005] Time 0.468 (0.470) Data 0.000 (0.008) Loss 2.8606 (2.6712) Prec@1 37.891 (41.285) Prec@5 59.766 (66.893)
Epoch: [9][690/5005] Time 0.468 (0.470) Data 0.000 (0.007) Loss 2.5865 (2.6701) Prec@1 44.922 (41.316) Prec@5 68.750 (66.924)
Epoch: [9][700/5005] Time 0.469 (0.470) Data 0.000 (0.007) Loss 2.7593 (2.6707) Prec@1 41.016 (41.307) Prec@5 67.578 (66.914)
Epoch: [9][710/5005] Time 0.455 (0.470) Data 0.000 (0.007) Loss 2.9152 (2.6713) Prec@1 37.109 (41.300) Prec@5 62.109 (66.912)
Epoch: [9][720/5005] Time 0.464 (0.470) Data 0.000 (0.007) Loss 2.5251 (2.6713) Prec@1 46.875 (41.294) Prec@5 68.359 (66.916)
Epoch: [9][730/5005] Time 0.461 (0.470) Data 0.000 (0.007) Loss 2.5523 (2.6717) Prec@1 45.312 (41.299) Prec@5 69.531 (66.912)
Epoch: [9][740/5005] Time 0.458 (0.470) Data 0.000 (0.007) Loss 2.7188 (2.6717) Prec@1 39.844 (41.286) Prec@5 62.891 (66.919)
Epoch: [9][750/5005] Time 0.462 (0.470) Data 0.000 (0.007) Loss 2.6640 (2.6724) Prec@1 44.141 (41.283) Prec@5 64.062 (66.906)
Epoch: [9][760/5005] Time 0.470 (0.469) Data 0.000 (0.007) Loss 2.6431 (2.6736) Prec@1 43.359 (41.280) Prec@5 66.406 (66.884)
Epoch: [9][770/5005] Time 0.461 (0.469) Data 0.000 (0.007) Loss 2.8107 (2.6745) Prec@1 35.938 (41.259) Prec@5 64.844 (66.875)
Epoch: [9][780/5005] Time 0.477 (0.469) Data 0.000 (0.007) Loss 2.5162 (2.6743) Prec@1 46.875 (41.276) Prec@5 69.531 (66.888)
Epoch: [9][790/5005] Time 0.475 (0.469) Data 0.000 (0.007) Loss 2.6847 (2.6747) Prec@1 37.500 (41.275) Prec@5 68.359 (66.890)
Epoch: [9][800/5005] Time 0.469 (0.469) Data 0.000 (0.006) Loss 2.6221 (2.6749) Prec@1 41.797 (41.278) Prec@5 66.797 (66.874)
Epoch: [9][810/5005] Time 0.467 (0.469) Data 0.000 (0.006) Loss 2.6064 (2.6751) Prec@1 38.672 (41.278) Prec@5 66.406 (66.881)
Epoch: [9][820/5005] Time 0.466 (0.469) Data 0.000 (0.006) Loss 2.5902 (2.6744) Prec@1 43.359 (41.289) Prec@5 65.625 (66.893)
Epoch: [9][830/5005] Time 0.464 (0.469) Data 0.000 (0.006) Loss 2.8083 (2.6750) Prec@1 34.766 (41.274) Prec@5 65.234 (66.897)
Epoch: [9][840/5005] Time 0.471 (0.469) Data 0.000 (0.006) Loss 2.7077 (2.6755) Prec@1 40.625 (41.269) Prec@5 65.234 (66.871)
Epoch: [9][850/5005] Time 0.451 (0.469) Data 0.000 (0.006) Loss 2.6173 (2.6749) Prec@1 40.234 (41.276) Prec@5 67.188 (66.877)
Epoch: [9][860/5005] Time 0.462 (0.469) Data 0.000 (0.006) Loss 2.6495 (2.6746) Prec@1 44.141 (41.284) Prec@5 67.578 (66.882)
Epoch: [9][870/5005] Time 0.478 (0.469) Data 0.000 (0.006) Loss 2.6476 (2.6745) Prec@1 42.578 (41.276) Prec@5 66.797 (66.877)
Epoch: [9][880/5005] Time 0.479 (0.469) Data 0.000 (0.006) Loss 2.6558 (2.6737) Prec@1 42.578 (41.285) Prec@5 67.188 (66.884)
Epoch: [9][890/5005] Time 0.469 (0.469) Data 0.000 (0.006) Loss 2.8425 (2.6742) Prec@1 38.281 (41.276) Prec@5 66.016 (66.874)
Epoch: [9][900/5005] Time 0.448 (0.469) Data 0.000 (0.006) Loss 2.7951 (2.6745) Prec@1 39.844 (41.281) Prec@5 62.891 (66.866)
Epoch: [9][910/5005] Time 0.472 (0.469) Data 0.000 (0.006) Loss 2.4902 (2.6749) Prec@1 42.578 (41.266) Prec@5 71.875 (66.860)
Epoch: [9][920/5005] Time 0.477 (0.469) Data 0.000 (0.006) Loss 2.9236 (2.6750) Prec@1 39.062 (41.271) Prec@5 62.500 (66.862)
Epoch: [9][930/5005] Time 0.474 (0.468) Data 0.000 (0.006) Loss 2.5538 (2.6759) Prec@1 45.312 (41.251) Prec@5 69.141 (66.847)
Epoch: [9][940/5005] Time 0.470 (0.469) Data 0.000 (0.006) Loss 2.5527 (2.6760) Prec@1 43.750 (41.241) Prec@5 69.141 (66.848)
Epoch: [9][950/5005] Time 0.451 (0.468) Data 0.000 (0.006) Loss 2.5758 (2.6763) Prec@1 41.406 (41.233) Prec@5 66.797 (66.843)
Epoch: [9][960/5005] Time 0.457 (0.468) Data 0.000 (0.005) Loss 2.4355 (2.6760) Prec@1 45.312 (41.244) Prec@5 67.969 (66.838)
Epoch: [9][970/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 2.4614 (2.6759) Prec@1 41.797 (41.237) Prec@5 67.969 (66.841)
Epoch: [9][980/5005] Time 0.465 (0.468) Data 0.000 (0.005) Loss 2.5656 (2.6751) Prec@1 39.062 (41.247) Prec@5 69.531 (66.848)
Epoch: [9][990/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 2.7618 (2.6761) Prec@1 37.109 (41.234) Prec@5 65.234 (66.837)
Epoch: [9][1000/5005] Time 0.458 (0.468) Data 0.000 (0.005) Loss 2.8702 (2.6758) Prec@1 39.453 (41.236) Prec@5 63.672 (66.843)
Epoch: [9][1010/5005] Time 0.454 (0.468) Data 0.000 (0.005) Loss 2.8980 (2.6760) Prec@1 39.844 (41.229) Prec@5 62.500 (66.839)
Epoch: [9][1020/5005] Time 0.475 (0.468) Data 0.000 (0.005) Loss 2.7316 (2.6767) Prec@1 38.281 (41.224) Prec@5 66.016 (66.827)
Epoch: [9][1030/5005] Time 0.462 (0.468) Data 0.000 (0.005) Loss 2.6009 (2.6766) Prec@1 44.141 (41.234) Prec@5 69.141 (66.827)
Epoch: [9][1040/5005] Time 0.457 (0.468) Data 0.000 (0.005) Loss 2.6270 (2.6767) Prec@1 41.797 (41.230) Prec@5 66.797 (66.822)
Epoch: [9][1050/5005] Time 0.477 (0.468) Data 0.000 (0.005) Loss 2.7827 (2.6763) Prec@1 40.234 (41.239) Prec@5 66.797 (66.828)
Epoch: [9][1060/5005] Time 0.470 (0.468) Data 0.000 (0.005) Loss 2.8500 (2.6759) Prec@1 39.844 (41.243) Prec@5 62.109 (66.836)
Epoch: [9][1070/5005] Time 0.450 (0.468) Data 0.000 (0.005) Loss 2.5651 (2.6762) Prec@1 42.969 (41.238) Prec@5 69.922 (66.837)
Epoch: [9][1080/5005] Time 0.480 (0.468) Data 0.000 (0.005) Loss 2.8403 (2.6766) Prec@1 37.500 (41.235) Prec@5 64.844 (66.827)
Epoch: [9][1090/5005] Time 0.449 (0.468) Data 0.000 (0.005) Loss 2.5433 (2.6765) Prec@1 43.359 (41.235) Prec@5 70.703 (66.822)
Epoch: [9][1100/5005] Time 0.453 (0.468) Data 0.000 (0.005) Loss 2.5758 (2.6770) Prec@1 46.094 (41.227) Prec@5 69.922 (66.814)
Epoch: [9][1110/5005] Time 0.454 (0.468) Data 0.000 (0.005) Loss 2.6585 (2.6766) Prec@1 41.016 (41.232) Prec@5 66.016 (66.826)
Epoch: [9][1120/5005] Time 0.456 (0.468) Data 0.000 (0.005) Loss 2.7319 (2.6764) Prec@1 37.109 (41.224) Prec@5 64.844 (66.825)
Epoch: [9][1130/5005] Time 0.471 (0.468) Data 0.000 (0.005) Loss 2.6610 (2.6763) Prec@1 39.844 (41.219) Prec@5 67.969 (66.834)
Epoch: [9][1140/5005] Time 0.452 (0.468) Data 0.000 (0.005) Loss 2.6131 (2.6762) Prec@1 42.578 (41.217) Prec@5 66.016 (66.832)
Epoch: [9][1150/5005] Time 0.480 (0.468) Data 0.000 (0.005) Loss 2.9307 (2.6764) Prec@1 40.234 (41.216) Prec@5 62.891 (66.823)
Epoch: [9][1160/5005] Time 0.464 (0.468) Data 0.000 (0.005) Loss 2.5945 (2.6768) Prec@1 46.094 (41.201) Prec@5 69.141 (66.817)
Epoch: [9][1170/5005] Time 0.463 (0.468) Data 0.000 (0.005) Loss 2.6293 (2.6766) Prec@1 41.406 (41.195) Prec@5 67.969 (66.824)
Epoch: [9][1180/5005] Time 0.455 (0.467) Data 0.000 (0.005) Loss 2.7840 (2.6765) Prec@1 39.453 (41.197) Prec@5 66.797 (66.827)
Epoch: [9][1190/5005] Time 0.467 (0.467) Data 0.000 (0.005) Loss 2.5312 (2.6765) Prec@1 44.922 (41.192) Prec@5 69.922 (66.829)
Epoch: [9][1200/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 2.6117 (2.6763) Prec@1 43.359 (41.195) Prec@5 68.359 (66.824)
Epoch: [9][1210/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 2.8461 (2.6769) Prec@1 36.328 (41.192) Prec@5 62.500 (66.809)
Epoch: [9][1220/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 2.5512 (2.6767) Prec@1 45.703 (41.197) Prec@5 69.141 (66.814)
Epoch: [9][1230/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 2.7291 (2.6764) Prec@1 39.062 (41.196) Prec@5 66.797 (66.816)
Epoch: [9][1240/5005] Time 0.464 (0.467) Data 0.000 (0.004) Loss 2.8353 (2.6761) Prec@1 36.719 (41.200) Prec@5 62.891 (66.824)
Epoch: [9][1250/5005] Time 0.477 (0.467) Data 0.000 (0.004) Loss 2.6896 (2.6758) Prec@1 37.891 (41.203) Prec@5 68.359 (66.823)
Epoch: [9][1260/5005] Time 0.462 (0.467) Data 0.000 (0.004) Loss 2.7518 (2.6767) Prec@1 40.234 (41.193) Prec@5 62.500 (66.812)
Epoch: [9][1270/5005] Time 0.459 (0.467) Data 0.000 (0.004) Loss 2.6187 (2.6765) Prec@1 42.969 (41.206) Prec@5 66.406 (66.813)
Epoch: [9][1280/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.6024 (2.6763) Prec@1 40.234 (41.202) Prec@5 66.016 (66.821)
Epoch: [9][1290/5005] Time 0.476 (0.467) Data 0.000 (0.004) Loss 2.6184 (2.6765) Prec@1 46.094 (41.195) Prec@5 67.578 (66.808)
Epoch: [9][1300/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 2.5429 (2.6765) Prec@1 44.141 (41.194) Prec@5 69.922 (66.811)
Epoch: [9][1310/5005] Time 0.480 (0.467) Data 0.000 (0.004) Loss 2.7369 (2.6760) Prec@1 39.844 (41.203) Prec@5 65.625 (66.813)
Epoch: [9][1320/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.6095 (2.6760) Prec@1 41.016 (41.205) Prec@5 73.438 (66.818)
Epoch: [9][1330/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 2.2676 (2.6746) Prec@1 46.484 (41.230) Prec@5 73.438 (66.841)
Epoch: [9][1340/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 2.9168 (2.6746) Prec@1 35.938 (41.231) Prec@5 64.453 (66.841)
Epoch: [9][1350/5005] Time 0.480 (0.467) Data 0.000 (0.004) Loss 2.5001 (2.6747) Prec@1 42.969 (41.229) Prec@5 68.359 (66.839)
Epoch: [9][1360/5005] Time 0.477 (0.467) Data 0.000 (0.004) Loss 2.5545 (2.6747) Prec@1 41.797 (41.229) Prec@5 69.141 (66.839)
Epoch: [9][1370/5005] Time 0.451 (0.467) Data 0.001 (0.004) Loss 2.4934 (2.6746) Prec@1 41.797 (41.226) Prec@5 70.703 (66.840)
Epoch: [9][1380/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 2.6073 (2.6738) Prec@1 39.844 (41.248) Prec@5 64.844 (66.849)
Epoch: [9][1390/5005] Time 0.467 (0.467) Data 0.000 (0.004) Loss 2.3598 (2.6737) Prec@1 47.266 (41.245) Prec@5 71.875 (66.848)
Epoch: [9][1400/5005] Time 0.466 (0.467) Data 0.000 (0.004) Loss 2.5897 (2.6735) Prec@1 39.453 (41.254) Prec@5 66.406 (66.853)
Epoch: [9][1410/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.5967 (2.6736) Prec@1 41.016 (41.250) Prec@5 67.188 (66.851)
Epoch: [9][1420/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 2.8102 (2.6737) Prec@1 39.062 (41.246) Prec@5 62.109 (66.841)
Epoch: [9][1430/5005] Time 0.463 (0.467) Data 0.000 (0.004) Loss 2.7150 (2.6737) Prec@1 39.844 (41.236) Prec@5 69.141 (66.841)
Epoch: [9][1440/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 2.8354 (2.6739) Prec@1 36.719 (41.223) Prec@5 65.234 (66.846)
Epoch: [9][1450/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 2.2890 (2.6741) Prec@1 48.047 (41.210) Prec@5 73.438 (66.847)
Epoch: [9][1460/5005] Time 0.454 (0.467) Data 0.000 (0.004) Loss 2.6854 (2.6740) Prec@1 37.500 (41.217) Prec@5 66.406 (66.851)
Epoch: [9][1470/5005] Time 0.468 (0.467) Data 0.000 (0.004) Loss 2.5411 (2.6739) Prec@1 43.750 (41.217) Prec@5 69.922 (66.853)
Epoch: [9][1480/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 2.6418 (2.6742) Prec@1 38.672 (41.212) Prec@5 68.359 (66.849)
Epoch: [9][1490/5005] Time 0.466 (0.467) Data 0.000 (0.004) Loss 2.7047 (2.6745) Prec@1 41.797 (41.206) Prec@5 67.578 (66.852)
Epoch: [9][1500/5005] Time 0.458 (0.467) Data 0.000 (0.004) Loss 2.6661 (2.6743) Prec@1 40.625 (41.203) Prec@5 66.406 (66.857)
Epoch: [9][1510/5005] Time 0.471 (0.467) Data 0.000 (0.004) Loss 2.5601 (2.6742) Prec@1 41.406 (41.207) Prec@5 69.141 (66.860)
Epoch: [9][1520/5005] Time 0.453 (0.467) Data 0.000 (0.004) Loss 3.0060 (2.6743) Prec@1 37.500 (41.211) Prec@5 64.453 (66.859)
Epoch: [9][1530/5005] Time 0.464 (0.467) Data 0.000 (0.004) Loss 2.9591 (2.6738) Prec@1 35.938 (41.217) Prec@5 60.938 (66.864)
Epoch: [9][1540/5005] Time 0.472 (0.467) Data 0.000 (0.004) Loss 3.0108 (2.6741) Prec@1 37.891 (41.205) Prec@5 62.500 (66.857)
Epoch: [9][1550/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 2.9725 (2.6745) Prec@1 35.938 (41.200) Prec@5 62.891 (66.847)
Epoch: [9][1560/5005] Time 0.475 (0.467) Data 0.000 (0.004) Loss 2.6398 (2.6751) Prec@1 41.797 (41.196) Prec@5 64.844 (66.836)
Epoch: [9][1570/5005] Time 0.466 (0.467) Data 0.000 (0.004) Loss 2.6664 (2.6749) Prec@1 42.188 (41.196) Prec@5 66.016 (66.834)
Epoch: [9][1580/5005] Time 0.437 (0.467) Data 0.000 (0.004) Loss 2.4621 (2.6749) Prec@1 45.312 (41.208) Prec@5 71.484 (66.835)
Epoch: [9][1590/5005] Time 0.449 (0.467) Data 0.000 (0.003) Loss 2.6783 (2.6746) Prec@1 41.797 (41.216) Prec@5 67.969 (66.844)
Epoch: [9][1600/5005] Time 0.459 (0.467) Data 0.000 (0.003) Loss 2.7203 (2.6747) Prec@1 39.062 (41.221) Prec@5 66.016 (66.844)
Epoch: [9][1610/5005] Time 0.453 (0.467) Data 0.000 (0.003) Loss 2.7668 (2.6752) Prec@1 40.234 (41.211) Prec@5 62.109 (66.832)
Epoch: [9][1620/5005] Time 0.473 (0.467) Data 0.000 (0.003) Loss 2.7868 (2.6752) Prec@1 40.625 (41.217) Prec@5 63.281 (66.834)
Epoch: [9][1630/5005] Time 0.445 (0.467) Data 0.000 (0.003) Loss 2.8680 (2.6754) Prec@1 41.016 (41.222) Prec@5 64.062 (66.830)
Epoch: [9][1640/5005] Time 0.464 (0.467) Data 0.000 (0.003) Loss 2.6278 (2.6757) Prec@1 38.281 (41.220) Prec@5 69.141 (66.829)
Epoch: [9][1650/5005] Time 0.471 (0.467) Data 0.000 (0.003) Loss 2.7406 (2.6756) Prec@1 40.234 (41.218) Prec@5 62.891 (66.827)
Epoch: [9][1660/5005] Time 0.470 (0.467) Data 0.000 (0.003) Loss 2.6937 (2.6757) Prec@1 42.188 (41.213) Prec@5 65.625 (66.819)
Epoch: [9][1670/5005] Time 0.471 (0.467) Data 0.000 (0.003) Loss 2.6984 (2.6753) Prec@1 42.188 (41.214) Prec@5 66.797 (66.824)
Epoch: [9][1680/5005] Time 0.463 (0.467) Data 0.000 (0.003) Loss 2.7395 (2.6751) Prec@1 44.141 (41.219) Prec@5 65.625 (66.826)
Epoch: [9][1690/5005] Time 0.459 (0.467) Data 0.000 (0.003) Loss 2.6711 (2.6749) Prec@1 35.938 (41.219) Prec@5 64.844 (66.827)
Epoch: [9][1700/5005] Time 0.466 (0.467) Data 0.000 (0.003) Loss 2.8953 (2.6748) Prec@1 40.625 (41.220) Prec@5 64.844 (66.832)
Epoch: [9][1710/5005] Time 0.471 (0.467) Data 0.000 (0.003) Loss 2.5853 (2.6745) Prec@1 44.141 (41.221) Prec@5 67.188 (66.837)
Epoch: [9][1720/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.4224 (2.6746) Prec@1 45.312 (41.218) Prec@5 69.141 (66.835)
Epoch: [9][1730/5005] Time 0.468 (0.466) Data 0.001 (0.003) Loss 2.8246 (2.6743) Prec@1 39.844 (41.219) Prec@5 64.453 (66.837)
Epoch: [9][1740/5005] Time 0.481 (0.466) Data 0.000 (0.003) Loss 2.7256 (2.6744) Prec@1 41.406 (41.211) Prec@5 66.016 (66.834)
Epoch: [9][1750/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 2.6964 (2.6745) Prec@1 41.406 (41.208) Prec@5 65.625 (66.830)
Epoch: [9][1760/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.7226 (2.6743) Prec@1 41.016 (41.212) Prec@5 67.188 (66.836)
Epoch: [9][1770/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 2.8443 (2.6746) Prec@1 38.672 (41.203) Prec@5 63.672 (66.829)
Epoch: [9][1780/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 2.5606 (2.6748) Prec@1 41.797 (41.194) Prec@5 71.094 (66.826)
Epoch: [9][1790/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 2.6030 (2.6749) Prec@1 37.109 (41.186) Prec@5 69.531 (66.827)
Epoch: [9][1800/5005] Time 0.480 (0.466) Data 0.000 (0.003) Loss 2.7883 (2.6753) Prec@1 42.188 (41.177) Prec@5 66.406 (66.821)
Epoch: [9][1810/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.6501 (2.6751) Prec@1 42.188 (41.187) Prec@5 67.969 (66.826)
Epoch: [9][1820/5005] Time 0.474 (0.466) Data 0.000 (0.003) Loss 2.6342 (2.6750) Prec@1 43.359 (41.195) Prec@5 70.703 (66.827)
Epoch: [9][1830/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 2.7307 (2.6750) Prec@1 40.625 (41.195) Prec@5 64.453 (66.826)
Epoch: [9][1840/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.8289 (2.6749) Prec@1 40.625 (41.197) Prec@5 66.016 (66.827)
Epoch: [9][1850/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 2.5109 (2.6750) Prec@1 41.797 (41.195) Prec@5 68.750 (66.827)
Epoch: [9][1860/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 2.8652 (2.6752) Prec@1 37.109 (41.197) Prec@5 60.156 (66.824)
Epoch: [9][1870/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 2.6182 (2.6752) Prec@1 42.578 (41.194) Prec@5 66.406 (66.824)
Epoch: [9][1880/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 2.4437 (2.6753) Prec@1 44.141 (41.191) Prec@5 71.484 (66.822)
Epoch: [9][1890/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 2.7444 (2.6753) Prec@1 39.453 (41.198) Prec@5 64.453 (66.826)
Epoch: [9][1900/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 2.6033 (2.6751) Prec@1 39.844 (41.201) Prec@5 67.578 (66.828)
Epoch: [9][1910/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 2.6549 (2.6756) Prec@1 38.281 (41.191) Prec@5 68.750 (66.827)
Epoch: [9][1920/5005] Time 0.450 (0.466) Data 0.000 (0.003) Loss 2.5624 (2.6758) Prec@1 43.750 (41.192) Prec@5 68.750 (66.822)
Epoch: [9][1930/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.8321 (2.6757) Prec@1 42.969 (41.194) Prec@5 63.672 (66.822)
Epoch: [9][1940/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.4095 (2.6759) Prec@1 46.094 (41.193) Prec@5 68.750 (66.818)
Epoch: [9][1950/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.5304 (2.6755) Prec@1 44.531 (41.199) Prec@5 71.484 (66.822)
Epoch: [9][1960/5005] Time 0.448 (0.466) Data 0.000 (0.003) Loss 2.5683 (2.6755) Prec@1 41.016 (41.195) Prec@5 67.578 (66.818)
Epoch: [9][1970/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 3.0367 (2.6756) Prec@1 33.203 (41.193) Prec@5 61.719 (66.816)
Epoch: [9][1980/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 2.6367 (2.6754) Prec@1 40.234 (41.189) Prec@5 66.797 (66.823)
Epoch: [9][1990/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 2.6613 (2.6751) Prec@1 42.578 (41.197) Prec@5 66.797 (66.829)
Epoch: [9][2000/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 2.4784 (2.6750) Prec@1 44.141 (41.198) Prec@5 70.312 (66.834)
Epoch: [9][2010/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.6552 (2.6749) Prec@1 41.406 (41.205) Prec@5 69.531 (66.839)
Epoch: [9][2020/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.8531 (2.6748) Prec@1 41.406 (41.203) Prec@5 64.844 (66.846)
Epoch: [9][2030/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 2.6685 (2.6748) Prec@1 38.672 (41.201) Prec@5 67.188 (66.846)
Epoch: [9][2040/5005] Time 0.470 (0.466) Data 0.001 (0.003) Loss 2.7651 (2.6748) Prec@1 39.844 (41.201) Prec@5 66.406 (66.848)
Epoch: [9][2050/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.3797 (2.6746) Prec@1 42.578 (41.204) Prec@5 72.266 (66.853)
Epoch: [9][2060/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.6972 (2.6746) Prec@1 41.406 (41.208) Prec@5 64.844 (66.857)
Epoch: [9][2070/5005] Time 0.448 (0.466) Data 0.000 (0.003) Loss 2.5763 (2.6748) Prec@1 41.406 (41.202) Prec@5 69.531 (66.853)
Epoch: [9][2080/5005] Time 0.463 (0.466) Data 0.000 (0.003) Loss 2.6477 (2.6747) Prec@1 41.016 (41.205) Prec@5 68.750 (66.857)
Epoch: [9][2090/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.5301 (2.6748) Prec@1 44.531 (41.202) Prec@5 68.359 (66.854)
Epoch: [9][2100/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 2.6192 (2.6748) Prec@1 43.359 (41.203) Prec@5 69.141 (66.855)
Epoch: [9][2110/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 2.7590 (2.6747) Prec@1 37.891 (41.206) Prec@5 68.359 (66.861)
Epoch: [9][2120/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.5684 (2.6746) Prec@1 40.234 (41.208) Prec@5 71.484 (66.861)
Epoch: [9][2130/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.7227 (2.6744) Prec@1 39.844 (41.210) Prec@5 69.531 (66.864)
Epoch: [9][2140/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 2.4626 (2.6742) Prec@1 46.094 (41.212) Prec@5 70.703 (66.868)
Epoch: [9][2150/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 2.8365 (2.6740) Prec@1 37.109 (41.216) Prec@5 65.625 (66.873)
Epoch: [9][2160/5005] Time 0.481 (0.466) Data 0.000 (0.003) Loss 2.7021 (2.6739) Prec@1 42.188 (41.221) Prec@5 64.844 (66.873)
Epoch: [9][2170/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.5879 (2.6739) Prec@1 44.531 (41.222) Prec@5 67.578 (66.870)
Epoch: [9][2180/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.5469 (2.6738) Prec@1 44.922 (41.226) Prec@5 66.016 (66.870)
Epoch: [9][2190/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.5478 (2.6737) Prec@1 38.672 (41.223) Prec@5 69.922 (66.875)
Epoch: [9][2200/5005] Time 0.461 (0.466) Data 0.000 (0.003) Loss 2.6094 (2.6736) Prec@1 42.188 (41.228) Prec@5 64.062 (66.876)
Epoch: [9][2210/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.6737 (2.6739) Prec@1 38.281 (41.228) Prec@5 67.578 (66.875)
Epoch: [9][2220/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 2.6159 (2.6735) Prec@1 46.094 (41.238) Prec@5 70.312 (66.882)
Epoch: [9][2230/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.8124 (2.6737) Prec@1 39.062 (41.231) Prec@5 66.406 (66.880)
Epoch: [9][2240/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 2.5916 (2.6740) Prec@1 42.188 (41.228) Prec@5 65.625 (66.873)
Epoch: [9][2250/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.9641 (2.6741) Prec@1 38.672 (41.228) Prec@5 61.719 (66.870)
Epoch: [9][2260/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.7204 (2.6744) Prec@1 42.188 (41.227) Prec@5 64.453 (66.861)
Epoch: [9][2270/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 2.5447 (2.6742) Prec@1 42.969 (41.228) Prec@5 69.922 (66.866)
Epoch: [9][2280/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 2.6398 (2.6742) Prec@1 43.750 (41.231) Prec@5 66.797 (66.866)
Epoch: [9][2290/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.7326 (2.6740) Prec@1 41.406 (41.233) Prec@5 65.625 (66.870)
Epoch: [9][2300/5005] Time 0.474 (0.466) Data 0.000 (0.003) Loss 2.7577 (2.6740) Prec@1 43.750 (41.233) Prec@5 64.453 (66.871)
Epoch: [9][2310/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 2.8543 (2.6740) Prec@1 40.625 (41.233) Prec@5 62.500 (66.870)
Epoch: [9][2320/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.5476 (2.6741) Prec@1 44.922 (41.231) Prec@5 66.797 (66.865)
Epoch: [9][2330/5005] Time 0.462 (0.466) Data 0.000 (0.003) Loss 2.4519 (2.6738) Prec@1 48.438 (41.237) Prec@5 74.219 (66.876)
Epoch: [9][2340/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 2.6068 (2.6735) Prec@1 44.531 (41.249) Prec@5 67.188 (66.883)
Epoch: [9][2350/5005] Time 0.464 (0.466) Data 0.000 (0.002) Loss 2.6049 (2.6735) Prec@1 42.188 (41.250) Prec@5 67.578 (66.883)
Epoch: [9][2360/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 2.5658 (2.6736) Prec@1 41.406 (41.252) Prec@5 69.531 (66.885)
Epoch: [9][2370/5005] Time 0.477 (0.466) Data 0.000 (0.002) Loss 2.7830 (2.6736) Prec@1 37.891 (41.249) Prec@5 63.281 (66.883)
Epoch: [9][2380/5005] Time 0.447 (0.466) Data 0.000 (0.002) Loss 2.6038 (2.6730) Prec@1 42.188 (41.256) Prec@5 67.188 (66.894)
Epoch: [9][2390/5005] Time 0.466 (0.466) Data 0.000 (0.002) Loss 2.7121 (2.6730) Prec@1 39.453 (41.257) Prec@5 67.188 (66.896)
Epoch: [9][2400/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 2.6918 (2.6730) Prec@1 39.453 (41.255) Prec@5 67.188 (66.897)
Epoch: [9][2410/5005] Time 0.471 (0.466) Data 0.000 (0.002) Loss 2.4991 (2.6727) Prec@1 44.922 (41.261) Prec@5 70.312 (66.902)
Epoch: [9][2420/5005] Time 0.455 (0.466) Data 0.000 (0.002) Loss 2.5178 (2.6722) Prec@1 46.875 (41.274) Prec@5 69.141 (66.910)
Epoch: [9][2430/5005] Time 0.456 (0.466) Data 0.000 (0.002) Loss 3.1303 (2.6725) Prec@1 37.500 (41.273) Prec@5 61.719 (66.905)
Epoch: [9][2440/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.7895 (2.6728) Prec@1 41.406 (41.268) Prec@5 66.016 (66.901)
Epoch: [9][2450/5005] Time 0.450 (0.466) Data 0.000 (0.002) Loss 2.4960 (2.6730) Prec@1 43.359 (41.266) Prec@5 69.141 (66.900)
Epoch: [9][2460/5005] Time 0.478 (0.466) Data 0.000 (0.002) Loss 2.7203 (2.6729) Prec@1 41.406 (41.266) Prec@5 65.234 (66.905)
Epoch: [9][2470/5005] Time 0.465 (0.466) Data 0.000 (0.002) Loss 2.7068 (2.6727) Prec@1 41.406 (41.272) Prec@5 69.141 (66.908)
Epoch: [9][2480/5005] Time 0.471 (0.466) Data 0.000 (0.002) Loss 2.5271 (2.6729) Prec@1 44.531 (41.270) Prec@5 71.875 (66.907)
Epoch: [9][2490/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 2.7688 (2.6728) Prec@1 40.625 (41.272) Prec@5 63.672 (66.908)
Epoch: [9][2500/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 2.9299 (2.6726) Prec@1 35.156 (41.271) Prec@5 59.375 (66.908)
Epoch: [9][2510/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 2.6810 (2.6724) Prec@1 43.359 (41.270) Prec@5 66.016 (66.906)
Epoch: [9][2520/5005] Time 0.455 (0.466) Data 0.000 (0.002) Loss 2.7295 (2.6725) Prec@1 41.797 (41.271) Prec@5 67.578 (66.907)
Epoch: [9][2530/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 2.5539 (2.6722) Prec@1 41.016 (41.275) Prec@5 69.922 (66.908)
Epoch: [9][2540/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 2.6985 (2.6720) Prec@1 39.062 (41.278) Prec@5 69.531 (66.911)
Epoch: [9][2550/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 2.6794 (2.6721) Prec@1 43.750 (41.271) Prec@5 69.141 (66.911)
Epoch: [9][2560/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 2.7541 (2.6720) Prec@1 39.062 (41.272) Prec@5 64.453 (66.913)
Epoch: [9][2570/5005] Time 0.474 (0.466) Data 0.000 (0.002) Loss 2.4554 (2.6719) Prec@1 45.312 (41.271) Prec@5 71.094 (66.912)
Epoch: [9][2580/5005] Time 0.454 (0.466) Data 0.001 (0.002) Loss 2.5283 (2.6716) Prec@1 42.969 (41.278) Prec@5 67.969 (66.918)
Epoch: [9][2590/5005] Time 0.465 (0.466) Data 0.000 (0.002) Loss 2.6544 (2.6716) Prec@1 40.234 (41.275) Prec@5 67.969 (66.918)
Epoch: [9][2600/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.9502 (2.6718) Prec@1 34.375 (41.271) Prec@5 62.109 (66.919)
Epoch: [9][2610/5005] Time 0.469 (0.466) Data 0.001 (0.002) Loss 2.5898 (2.6720) Prec@1 41.797 (41.268) Prec@5 71.094 (66.919)
Epoch: [9][2620/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 2.7599 (2.6721) Prec@1 38.281 (41.264) Prec@5 62.109 (66.918)
Epoch: [9][2630/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.6612 (2.6722) Prec@1 42.188 (41.264) Prec@5 65.625 (66.913)
Epoch: [9][2640/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 2.7362 (2.6720) Prec@1 39.453 (41.266) Prec@5 68.359 (66.917)
Epoch: [9][2650/5005] Time 0.477 (0.466) Data 0.000 (0.002) Loss 2.7506 (2.6718) Prec@1 39.062 (41.267) Prec@5 67.188 (66.921)
Epoch: [9][2660/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 2.5747 (2.6716) Prec@1 39.453 (41.270) Prec@5 68.750 (66.925)
Epoch: [9][2670/5005] Time 0.453 (0.466) Data 0.000 (0.002) Loss 2.8149 (2.6718) Prec@1 36.719 (41.267) Prec@5 63.672 (66.920)
Epoch: [9][2680/5005] Time 0.447 (0.466) Data 0.000 (0.002) Loss 2.4400 (2.6717) Prec@1 43.750 (41.264) Prec@5 71.094 (66.919)
Epoch: [9][2690/5005] Time 0.463 (0.466) Data 0.000 (0.002) Loss 2.3291 (2.6719) Prec@1 47.656 (41.260) Prec@5 74.609 (66.918)
Epoch: [9][2700/5005] Time 0.471 (0.466) Data 0.000 (0.002) Loss 2.6507 (2.6719) Prec@1 39.453 (41.263) Prec@5 67.969 (66.919)
Epoch: [9][2710/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 2.8374 (2.6717) Prec@1 38.281 (41.262) Prec@5 66.797 (66.923)
Epoch: [9][2720/5005] Time 0.466 (0.466) Data 0.000 (0.002) Loss 2.7585 (2.6718) Prec@1 43.359 (41.262) Prec@5 66.406 (66.927)
Epoch: [9][2730/5005] Time 0.473 (0.466) Data 0.000 (0.002) Loss 2.6050 (2.6717) Prec@1 42.188 (41.263) Prec@5 67.578 (66.927)
Epoch: [9][2740/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 2.5848 (2.6719) Prec@1 43.750 (41.262) Prec@5 68.750 (66.925)
Epoch: [9][2750/5005] Time 0.474 (0.466) Data 0.000 (0.002) Loss 2.9500 (2.6723) Prec@1 37.891 (41.255) Prec@5 61.328 (66.917)
Epoch: [9][2760/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 2.7426 (2.6724) Prec@1 41.406 (41.249) Prec@5 65.234 (66.913)
Epoch: [9][2770/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.7757 (2.6723) Prec@1 41.406 (41.252) Prec@5 66.016 (66.914)
Epoch: [9][2780/5005] Time 0.445 (0.466) Data 0.000 (0.002) Loss 2.5505 (2.6724) Prec@1 42.188 (41.253) Prec@5 69.531 (66.914)
Epoch: [9][2790/5005] Time 0.457 (0.466) Data 0.000 (0.002) Loss 2.7515 (2.6724) Prec@1 38.281 (41.255) Prec@5 67.188 (66.915)
Epoch: [9][2800/5005] Time 0.449 (0.465) Data 0.000 (0.002) Loss 2.5689 (2.6725) Prec@1 40.625 (41.256) Prec@5 69.141 (66.912)
Epoch: [9][2810/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.5536 (2.6729) Prec@1 41.016 (41.248) Prec@5 68.750 (66.906)
Epoch: [9][2820/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 2.4332 (2.6730) Prec@1 46.094 (41.246) Prec@5 71.484 (66.906)
Epoch: [9][2830/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.3952 (2.6730) Prec@1 45.312 (41.244) Prec@5 71.875 (66.907)
Epoch: [9][2840/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.6561 (2.6732) Prec@1 43.359 (41.242) Prec@5 66.797 (66.905)
Epoch: [9][2850/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.7151 (2.6728) Prec@1 42.969 (41.247) Prec@5 69.141 (66.910)
Epoch: [9][2860/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.6491 (2.6730) Prec@1 41.797 (41.246) Prec@5 66.406 (66.908)
Epoch: [9][2870/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.4285 (2.6728) Prec@1 41.797 (41.246) Prec@5 70.703 (66.913)
Epoch: [9][2880/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.6627 (2.6727) Prec@1 41.797 (41.250) Prec@5 69.531 (66.914)
Epoch: [9][2890/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.8156 (2.6727) Prec@1 38.281 (41.251) Prec@5 66.016 (66.914)
Epoch: [9][2900/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.4684 (2.6727) Prec@1 43.359 (41.252) Prec@5 71.094 (66.914)
Epoch: [9][2910/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.6416 (2.6724) Prec@1 40.625 (41.255) Prec@5 67.969 (66.919)
Epoch: [9][2920/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.7764 (2.6725) Prec@1 36.719 (41.252) Prec@5 67.188 (66.923)
Epoch: [9][2930/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.5826 (2.6724) Prec@1 42.188 (41.252) Prec@5 69.922 (66.928)
Epoch: [9][2940/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.7401 (2.6725) Prec@1 38.281 (41.251) Prec@5 65.234 (66.927)
Epoch: [9][2950/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.9048 (2.6726) Prec@1 39.453 (41.251) Prec@5 61.719 (66.924)
Epoch: [9][2960/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.4859 (2.6725) Prec@1 43.359 (41.253) Prec@5 69.922 (66.921)
Epoch: [9][2970/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.7522 (2.6725) Prec@1 39.844 (41.256) Prec@5 66.406 (66.922)
Epoch: [9][2980/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.8043 (2.6723) Prec@1 38.281 (41.255) Prec@5 64.844 (66.924)
Epoch: [9][2990/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.5202 (2.6723) Prec@1 44.141 (41.255) Prec@5 67.578 (66.921)
Epoch: [9][3000/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.6982 (2.6721) Prec@1 38.281 (41.257) Prec@5 66.016 (66.925)
Epoch: [9][3010/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.4207 (2.6718) Prec@1 44.922 (41.260) Prec@5 69.922 (66.928)
Epoch: [9][3020/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.8046 (2.6721) Prec@1 37.500 (41.256) Prec@5 61.719 (66.923)
Epoch: [9][3030/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.4455 (2.6721) Prec@1 48.828 (41.259) Prec@5 69.141 (66.923)
Epoch: [9][3040/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.7127 (2.6719) Prec@1 41.406 (41.262) Prec@5 66.797 (66.925)
Epoch: [9][3050/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.6947 (2.6720) Prec@1 41.797 (41.262) Prec@5 67.969 (66.924)
Epoch: [9][3060/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.9113 (2.6720) Prec@1 39.062 (41.261) Prec@5 62.891 (66.924)
Epoch: [9][3070/5005] Time 0.462 (0.465) Data 0.000 (0.002) Loss 2.7116 (2.6720) Prec@1 39.453 (41.262) Prec@5 65.625 (66.924)
Epoch: [9][3080/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.6198 (2.6717) Prec@1 40.234 (41.265) Prec@5 66.797 (66.927)
Epoch: [9][3090/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.7762 (2.6718) Prec@1 40.625 (41.272) Prec@5 66.406 (66.926)
Epoch: [9][3100/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.7665 (2.6715) Prec@1 38.281 (41.274) Prec@5 66.016 (66.930)
Epoch: [9][3110/5005] Time 0.479 (0.465) Data 0.000 (0.002) Loss 2.5431 (2.6717) Prec@1 42.969 (41.271) Prec@5 75.391 (66.928)
Epoch: [9][3120/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.8207 (2.6716) Prec@1 40.234 (41.273) Prec@5 66.406 (66.928)
Epoch: [9][3130/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.6972 (2.6715) Prec@1 42.188 (41.273) Prec@5 68.750 (66.929)
Epoch: [9][3140/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.7129 (2.6715) Prec@1 35.938 (41.271) Prec@5 64.453 (66.927)
Epoch: [9][3150/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.8111 (2.6714) Prec@1 37.891 (41.272) Prec@5 65.625 (66.929)
Epoch: [9][3160/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.5669 (2.6713) Prec@1 46.094 (41.274) Prec@5 69.531 (66.931)
Epoch: [9][3170/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.6912 (2.6712) Prec@1 41.016 (41.276) Prec@5 63.281 (66.933)
Epoch: [9][3180/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.3240 (2.6709) Prec@1 46.094 (41.278) Prec@5 71.484 (66.936)
Epoch: [9][3190/5005] Time 0.446 (0.465) Data 0.000 (0.002) Loss 2.6067 (2.6709) Prec@1 45.312 (41.282) Prec@5 66.406 (66.936)
Epoch: [9][3200/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.5318 (2.6708) Prec@1 44.141 (41.283) Prec@5 69.531 (66.939)
Epoch: [9][3210/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.7711 (2.6706) Prec@1 42.188 (41.285) Prec@5 63.672 (66.943)
Epoch: [9][3220/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.6972 (2.6704) Prec@1 41.016 (41.287) Prec@5 64.453 (66.947)
Epoch: [9][3230/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.1986 (2.6699) Prec@1 50.781 (41.295) Prec@5 76.172 (66.953)
Epoch: [9][3240/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.7439 (2.6697) Prec@1 41.797 (41.299) Prec@5 65.625 (66.957)
Epoch: [9][3250/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.4120 (2.6700) Prec@1 43.750 (41.291) Prec@5 70.312 (66.953)
Epoch: [9][3260/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.7543 (2.6700) Prec@1 41.406 (41.290) Prec@5 66.406 (66.955)
Epoch: [9][3270/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.8340 (2.6699) Prec@1 37.109 (41.289) Prec@5 65.625 (66.956)
Epoch: [9][3280/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.8377 (2.6696) Prec@1 42.578 (41.292) Prec@5 61.328 (66.956)
Epoch: [9][3290/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.4766 (2.6694) Prec@1 43.359 (41.297) Prec@5 69.922 (66.957)
Epoch: [9][3300/5005] Time 0.478 (0.465) Data 0.000 (0.002) Loss 2.6824 (2.6693) Prec@1 40.625 (41.300) Prec@5 67.969 (66.956)
Epoch: [9][3310/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.6701 (2.6692) Prec@1 45.312 (41.303) Prec@5 65.625 (66.954)
Epoch: [9][3320/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.7266 (2.6693) Prec@1 46.484 (41.306) Prec@5 64.844 (66.954)
Epoch: [9][3330/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.7231 (2.6693) Prec@1 43.359 (41.305) Prec@5 66.016 (66.955)
Epoch: [9][3340/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.5679 (2.6692) Prec@1 44.922 (41.308) Prec@5 71.484 (66.956)
Epoch: [9][3350/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.6293 (2.6690) Prec@1 40.234 (41.314) Prec@5 69.531 (66.961)
Epoch: [9][3360/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.7160 (2.6689) Prec@1 38.672 (41.318) Prec@5 62.891 (66.963)
Epoch: [9][3370/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.6538 (2.6689) Prec@1 41.406 (41.318) Prec@5 62.500 (66.962)
Epoch: [9][3380/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.5749 (2.6688) Prec@1 42.969 (41.323) Prec@5 68.359 (66.964)
Epoch: [9][3390/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.7000 (2.6687) Prec@1 41.406 (41.326) Prec@5 64.844 (66.964)
Epoch: [9][3400/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.5146 (2.6686) Prec@1 45.312 (41.333) Prec@5 71.875 (66.967)
Epoch: [9][3410/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.6036 (2.6686) Prec@1 37.109 (41.331) Prec@5 67.969 (66.968)
Epoch: [9][3420/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.6359 (2.6685) Prec@1 40.234 (41.334) Prec@5 64.844 (66.971)
Epoch: [9][3430/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.4953 (2.6685) Prec@1 42.969 (41.335) Prec@5 68.359 (66.972)
Epoch: [9][3440/5005] Time 0.448 (0.465) Data 0.000 (0.002) Loss 2.5225 (2.6682) Prec@1 41.797 (41.338) Prec@5 67.578 (66.975)
Epoch: [9][3450/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.7702 (2.6683) Prec@1 40.234 (41.338) Prec@5 65.625 (66.971)
Epoch: [9][3460/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.6294 (2.6682) Prec@1 41.016 (41.344) Prec@5 67.969 (66.974)
Epoch: [9][3470/5005] Time 0.478 (0.465) Data 0.000 (0.002) Loss 2.5512 (2.6683) Prec@1 43.750 (41.344) Prec@5 69.922 (66.971)
Epoch: [9][3480/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.6464 (2.6684) Prec@1 41.797 (41.346) Prec@5 69.141 (66.970)
Epoch: [9][3490/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.8336 (2.6681) Prec@1 35.547 (41.349) Prec@5 66.016 (66.974)
Epoch: [9][3500/5005] Time 0.479 (0.465) Data 0.000 (0.002) Loss 2.5854 (2.6681) Prec@1 45.703 (41.350) Prec@5 67.188 (66.977)
Epoch: [9][3510/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.8085 (2.6681) Prec@1 42.188 (41.356) Prec@5 64.453 (66.979)
Epoch: [9][3520/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.4348 (2.6680) Prec@1 43.359 (41.357) Prec@5 67.969 (66.980)
Epoch: [9][3530/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.8700 (2.6680) Prec@1 39.844 (41.357) Prec@5 65.625 (66.980)
Epoch: [9][3540/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.6664 (2.6679) Prec@1 43.750 (41.358) Prec@5 69.141 (66.981)
Epoch: [9][3550/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.9296 (2.6681) Prec@1 35.156 (41.354) Prec@5 67.969 (66.981)
Epoch: [9][3560/5005] Time 0.449 (0.465) Data 0.000 (0.002) Loss 2.5450 (2.6680) Prec@1 40.625 (41.352) Prec@5 66.016 (66.981)
Epoch: [9][3570/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.4412 (2.6678) Prec@1 44.922 (41.357) Prec@5 70.703 (66.985)
Epoch: [9][3580/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.3544 (2.6675) Prec@1 45.703 (41.363) Prec@5 73.438 (66.990)
Epoch: [9][3590/5005] Time 0.462 (0.465) Data 0.001 (0.002) Loss 2.6782 (2.6674) Prec@1 42.578 (41.364) Prec@5 66.016 (66.989)
Epoch: [9][3600/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.7998 (2.6673) Prec@1 35.547 (41.364) Prec@5 62.891 (66.991)
Epoch: [9][3610/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.6370 (2.6673) Prec@1 44.531 (41.364) Prec@5 65.234 (66.990)
Epoch: [9][3620/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.7752 (2.6672) Prec@1 36.719 (41.365) Prec@5 64.062 (66.991)
Epoch: [9][3630/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.7053 (2.6672) Prec@1 39.844 (41.366) Prec@5 64.844 (66.993)
Epoch: [9][3640/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.7296 (2.6670) Prec@1 42.969 (41.371) Prec@5 70.703 (66.994)
Epoch: [9][3650/5005] Time 0.447 (0.465) Data 0.000 (0.002) Loss 2.3628 (2.6668) Prec@1 45.703 (41.374) Prec@5 71.094 (66.997)
Epoch: [9][3660/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.9037 (2.6668) Prec@1 40.625 (41.375) Prec@5 63.672 (66.999)
Epoch: [9][3670/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.4824 (2.6667) Prec@1 43.750 (41.375) Prec@5 67.188 (66.997)
Epoch: [9][3680/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.6888 (2.6665) Prec@1 37.891 (41.378) Prec@5 66.406 (67.003)
Epoch: [9][3690/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.4732 (2.6663) Prec@1 41.406 (41.383) Prec@5 73.047 (67.005)
Epoch: [9][3700/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.5861 (2.6662) Prec@1 39.844 (41.382) Prec@5 70.312 (67.008)
Epoch: [9][3710/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.6225 (2.6660) Prec@1 44.531 (41.387) Prec@5 67.578 (67.011)
Epoch: [9][3720/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.7845 (2.6661) Prec@1 38.672 (41.387) Prec@5 69.531 (67.012)
Epoch: [9][3730/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.5020 (2.6658) Prec@1 46.094 (41.390) Prec@5 70.312 (67.020)
Epoch: [9][3740/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.7003 (2.6657) Prec@1 39.453 (41.390) Prec@5 68.359 (67.020)
Epoch: [9][3750/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.7609 (2.6657) Prec@1 40.234 (41.389) Prec@5 66.797 (67.020)
Epoch: [9][3760/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.7719 (2.6656) Prec@1 39.062 (41.392) Prec@5 62.891 (67.022)
Epoch: [9][3770/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.5594 (2.6653) Prec@1 42.188 (41.395) Prec@5 68.359 (67.026)
Epoch: [9][3780/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.7178 (2.6654) Prec@1 35.938 (41.391) Prec@5 65.234 (67.024)
Epoch: [9][3790/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.5466 (2.6655) Prec@1 41.406 (41.389) Prec@5 66.406 (67.019)
Epoch: [9][3800/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.7824 (2.6655) Prec@1 36.719 (41.389) Prec@5 67.188 (67.021)
Epoch: [9][3810/5005] Time 0.460 (0.465) Data 0.001 (0.002) Loss 2.4274 (2.6654) Prec@1 43.359 (41.395) Prec@5 70.703 (67.024)
Epoch: [9][3820/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.6866 (2.6653) Prec@1 41.406 (41.397) Prec@5 67.969 (67.024)
Epoch: [9][3830/5005] Time 0.480 (0.465) Data 0.000 (0.002) Loss 2.6650 (2.6653) Prec@1 42.969 (41.396) Prec@5 67.188 (67.024)
Epoch: [9][3840/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.4454 (2.6654) Prec@1 47.656 (41.395) Prec@5 69.531 (67.023)
Epoch: [9][3850/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.4771 (2.6654) Prec@1 45.703 (41.396) Prec@5 72.656 (67.026)
Epoch: [9][3860/5005] Time 0.446 (0.465) Data 0.000 (0.002) Loss 2.8436 (2.6656) Prec@1 37.109 (41.396) Prec@5 63.672 (67.022)
Epoch: [9][3870/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.6609 (2.6656) Prec@1 36.328 (41.393) Prec@5 68.750 (67.021)
Epoch: [9][3880/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.6829 (2.6658) Prec@1 45.312 (41.392) Prec@5 66.797 (67.019)
Epoch: [9][3890/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.4779 (2.6658) Prec@1 45.312 (41.392) Prec@5 73.438 (67.020)
Epoch: [9][3900/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.7472 (2.6659) Prec@1 39.844 (41.396) Prec@5 66.797 (67.020)
Epoch: [9][3910/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.3627 (2.6658) Prec@1 49.219 (41.396) Prec@5 72.266 (67.019)
Epoch: [9][3920/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.7856 (2.6660) Prec@1 39.844 (41.395) Prec@5 63.672 (67.018)
Epoch: [9][3930/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.5620 (2.6658) Prec@1 45.703 (41.397) Prec@5 70.703 (67.018)
Epoch: [9][3940/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.8293 (2.6656) Prec@1 42.188 (41.400) Prec@5 62.500 (67.023)
Epoch: [9][3950/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.6213 (2.6657) Prec@1 39.453 (41.400) Prec@5 68.750 (67.025)
Epoch: [9][3960/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.6129 (2.6656) Prec@1 41.797 (41.403) Prec@5 66.797 (67.025)
Epoch: [9][3970/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.7511 (2.6655) Prec@1 40.234 (41.406) Prec@5 64.844 (67.026)
Epoch: [9][3980/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.7856 (2.6655) Prec@1 37.500 (41.406) Prec@5 64.844 (67.029)
Epoch: [9][3990/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.7707 (2.6657) Prec@1 42.578 (41.401) Prec@5 65.625 (67.026)
Epoch: [9][4000/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.7020 (2.6656) Prec@1 43.359 (41.403) Prec@5 63.672 (67.028)
Epoch: [9][4010/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.5130 (2.6656) Prec@1 43.359 (41.399) Prec@5 70.312 (67.029)
Epoch: [9][4020/5005] Time 0.457 (0.465) Data 0.001 (0.002) Loss 2.7243 (2.6655) Prec@1 41.797 (41.399) Prec@5 67.188 (67.029)
Epoch: [9][4030/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.5798 (2.6654) Prec@1 42.188 (41.399) Prec@5 67.578 (67.032)
Epoch: [9][4040/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.3708 (2.6655) Prec@1 45.703 (41.401) Prec@5 69.922 (67.031)
Epoch: [9][4050/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.4643 (2.6652) Prec@1 49.219 (41.405) Prec@5 75.000 (67.038)
Epoch: [9][4060/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.6874 (2.6652) Prec@1 42.969 (41.408) Prec@5 65.625 (67.037)
Epoch: [9][4070/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.7358 (2.6651) Prec@1 44.922 (41.412) Prec@5 69.922 (67.041)
Epoch: [9][4080/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.7021 (2.6652) Prec@1 38.672 (41.411) Prec@5 65.625 (67.040)
Epoch: [9][4090/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.4787 (2.6651) Prec@1 42.969 (41.413) Prec@5 68.750 (67.042)
Epoch: [9][4100/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.6251 (2.6650) Prec@1 44.141 (41.414) Prec@5 66.016 (67.042)
Epoch: [9][4110/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.3091 (2.6648) Prec@1 48.828 (41.418) Prec@5 75.000 (67.044)
Epoch: [9][4120/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.5925 (2.6649) Prec@1 44.922 (41.418) Prec@5 69.531 (67.042)
Epoch: [9][4130/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.6206 (2.6648) Prec@1 42.969 (41.420) Prec@5 66.797 (67.043)
Epoch: [9][4140/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.5528 (2.6648) Prec@1 44.531 (41.418) Prec@5 70.312 (67.042)
Epoch: [9][4150/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.7218 (2.6647) Prec@1 44.141 (41.419) Prec@5 64.453 (67.041)
Epoch: [9][4160/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.4136 (2.6647) Prec@1 44.141 (41.420) Prec@5 71.875 (67.043)
Epoch: [9][4170/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.4187 (2.6648) Prec@1 47.656 (41.418) Prec@5 68.750 (67.042)
Epoch: [9][4180/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.8997 (2.6650) Prec@1 37.891 (41.416) Prec@5 62.891 (67.038)
Epoch: [9][4190/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.6112 (2.6650) Prec@1 42.578 (41.415) Prec@5 68.750 (67.040)
Epoch: [9][4200/5005] Time 0.469 (0.465) Data 0.001 (0.002) Loss 2.5841 (2.6649) Prec@1 45.312 (41.419) Prec@5 70.703 (67.043)
Epoch: [9][4210/5005] Time 0.446 (0.465) Data 0.000 (0.002) Loss 2.5527 (2.6649) Prec@1 44.922 (41.420) Prec@5 67.969 (67.046)
Epoch: [9][4220/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.7526 (2.6649) Prec@1 42.188 (41.419) Prec@5 67.188 (67.045)
Epoch: [9][4230/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.4536 (2.6648) Prec@1 48.828 (41.423) Prec@5 69.922 (67.047)
Epoch: [9][4240/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.9518 (2.6648) Prec@1 35.547 (41.421) Prec@5 61.719 (67.048)
Epoch: [9][4250/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.5640 (2.6648) Prec@1 40.625 (41.420) Prec@5 66.406 (67.049)
Epoch: [9][4260/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.7713 (2.6648) Prec@1 34.766 (41.419) Prec@5 62.109 (67.049)
Epoch: [9][4270/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.2745 (2.6645) Prec@1 49.219 (41.424) Prec@5 75.391 (67.056)
Epoch: [9][4280/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.7485 (2.6643) Prec@1 41.797 (41.427) Prec@5 64.453 (67.059)
Epoch: [9][4290/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.6717 (2.6641) Prec@1 39.453 (41.430) Prec@5 69.141 (67.064)
Epoch: [9][4300/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.6596 (2.6640) Prec@1 42.969 (41.432) Prec@5 67.969 (67.064)
Epoch: [9][4310/5005] Time 0.480 (0.465) Data 0.000 (0.002) Loss 2.9044 (2.6641) Prec@1 39.062 (41.433) Prec@5 64.453 (67.063)
Epoch: [9][4320/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.6061 (2.6640) Prec@1 41.016 (41.434) Prec@5 67.188 (67.064)
Epoch: [9][4330/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.9676 (2.6641) Prec@1 37.500 (41.433) Prec@5 62.500 (67.066)
Epoch: [9][4340/5005] Time 0.466 (0.465) Data 0.001 (0.002) Loss 2.5616 (2.6640) Prec@1 41.797 (41.433) Prec@5 65.234 (67.066)
Epoch: [9][4350/5005] Time 0.448 (0.465) Data 0.000 (0.002) Loss 2.5078 (2.6639) Prec@1 41.406 (41.433) Prec@5 66.016 (67.067)
Epoch: [9][4360/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.7085 (2.6638) Prec@1 41.797 (41.437) Prec@5 65.625 (67.069)
Epoch: [9][4370/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.8502 (2.6638) Prec@1 36.328 (41.437) Prec@5 65.625 (67.070)
Epoch: [9][4380/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.4045 (2.6638) Prec@1 43.359 (41.438) Prec@5 71.094 (67.070)
Epoch: [9][4390/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.7382 (2.6637) Prec@1 38.672 (41.440) Prec@5 66.406 (67.071)
Epoch: [9][4400/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.8104 (2.6637) Prec@1 41.797 (41.441) Prec@5 66.406 (67.072)
Epoch: [9][4410/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.5679 (2.6635) Prec@1 39.844 (41.442) Prec@5 69.141 (67.074)
Epoch: [9][4420/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.5801 (2.6634) Prec@1 41.797 (41.444) Prec@5 71.484 (67.076)
Epoch: [9][4430/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.4003 (2.6634) Prec@1 41.406 (41.441) Prec@5 71.875 (67.077)
Epoch: [9][4440/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.6113 (2.6633) Prec@1 39.844 (41.440) Prec@5 67.969 (67.079)
Epoch: [9][4450/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.5918 (2.6632) Prec@1 41.797 (41.441) Prec@5 70.312 (67.082)
Epoch: [9][4460/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.5700 (2.6631) Prec@1 44.141 (41.440) Prec@5 67.188 (67.083)
Epoch: [9][4470/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.7493 (2.6633) Prec@1 39.844 (41.441) Prec@5 66.406 (67.080)
Epoch: [9][4480/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.7700 (2.6633) Prec@1 40.625 (41.442) Prec@5 67.188 (67.079)
Epoch: [9][4490/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.6611 (2.6632) Prec@1 40.625 (41.441) Prec@5 66.016 (67.081)
Epoch: [9][4500/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.5052 (2.6630) Prec@1 43.359 (41.446) Prec@5 70.703 (67.085)
Epoch: [9][4510/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.5156 (2.6628) Prec@1 44.531 (41.449) Prec@5 70.703 (67.087)
Epoch: [9][4520/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.4611 (2.6627) Prec@1 46.875 (41.452) Prec@5 70.703 (67.089)
Epoch: [9][4530/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.6968 (2.6628) Prec@1 40.234 (41.452) Prec@5 66.016 (67.087)
Epoch: [9][4540/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.5341 (2.6630) Prec@1 42.578 (41.450) Prec@5 70.703 (67.085)
Epoch: [9][4550/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.3623 (2.6627) Prec@1 42.188 (41.453) Prec@5 72.266 (67.087)
Epoch: [9][4560/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.5193 (2.6625) Prec@1 42.188 (41.455) Prec@5 71.484 (67.092)
Epoch: [9][4570/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.9109 (2.6626) Prec@1 40.234 (41.457) Prec@5 64.453 (67.093)
Epoch: [9][4580/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.6725 (2.6627) Prec@1 44.531 (41.455) Prec@5 68.359 (67.092)
Epoch: [9][4590/5005] Time 0.474 (0.465) Data 0.000 (0.001) Loss 2.5152 (2.6626) Prec@1 45.312 (41.457) Prec@5 67.188 (67.093)
Epoch: [9][4600/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 2.7795 (2.6626) Prec@1 43.750 (41.456) Prec@5 66.406 (67.097)
Epoch: [9][4610/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.8536 (2.6625) Prec@1 42.188 (41.460) Prec@5 64.844 (67.096)
Epoch: [9][4620/5005] Time 0.449 (0.465) Data 0.000 (0.001) Loss 2.4051 (2.6626) Prec@1 50.000 (41.454) Prec@5 71.094 (67.095)
Epoch: [9][4630/5005] Time 0.476 (0.465) Data 0.001 (0.001) Loss 2.7305 (2.6627) Prec@1 41.797 (41.451) Prec@5 65.625 (67.095)
Epoch: [9][4640/5005] Time 0.461 (0.465) Data 0.000 (0.001) Loss 2.2837 (2.6625) Prec@1 50.391 (41.454) Prec@5 72.266 (67.097)
Epoch: [9][4650/5005] Time 0.461 (0.465) Data 0.000 (0.001) Loss 2.6087 (2.6626) Prec@1 43.750 (41.453) Prec@5 70.703 (67.099)
Epoch: [9][4660/5005] Time 0.477 (0.465) Data 0.000 (0.001) Loss 2.5472 (2.6625) Prec@1 42.578 (41.454) Prec@5 69.141 (67.102)
Epoch: [9][4670/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 2.7187 (2.6625) Prec@1 40.234 (41.454) Prec@5 67.969 (67.103)
Epoch: [9][4680/5005] Time 0.472 (0.465) Data 0.000 (0.001) Loss 2.4647 (2.6624) Prec@1 46.484 (41.454) Prec@5 73.438 (67.107)
Epoch: [9][4690/5005] Time 0.473 (0.465) Data 0.000 (0.001) Loss 2.9168 (2.6623) Prec@1 36.328 (41.454) Prec@5 62.500 (67.109)
Epoch: [9][4700/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 2.7990 (2.6624) Prec@1 38.672 (41.451) Prec@5 67.578 (67.106)
Epoch: [9][4710/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.5371 (2.6626) Prec@1 41.016 (41.447) Prec@5 69.141 (67.102)
Epoch: [9][4720/5005] Time 0.464 (0.465) Data 0.000 (0.001) Loss 2.8219 (2.6626) Prec@1 35.547 (41.447) Prec@5 65.625 (67.105)
Epoch: [9][4730/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.5650 (2.6625) Prec@1 42.578 (41.449) Prec@5 67.969 (67.104)
Epoch: [9][4740/5005] Time 0.476 (0.465) Data 0.000 (0.001) Loss 2.7189 (2.6627) Prec@1 37.500 (41.444) Prec@5 66.016 (67.104)
Epoch: [9][4750/5005] Time 0.478 (0.465) Data 0.000 (0.001) Loss 2.5737 (2.6627) Prec@1 46.484 (41.445) Prec@5 67.578 (67.102)
Epoch: [9][4760/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.7015 (2.6627) Prec@1 40.625 (41.445) Prec@5 66.406 (67.103)
Epoch: [9][4770/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 2.7466 (2.6625) Prec@1 43.750 (41.447) Prec@5 63.672 (67.105)
Epoch: [9][4780/5005] Time 0.452 (0.465) Data 0.000 (0.001) Loss 2.4869 (2.6625) Prec@1 43.750 (41.445) Prec@5 70.312 (67.105)
Epoch: [9][4790/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.5799 (2.6624) Prec@1 40.625 (41.445) Prec@5 70.312 (67.110)
Epoch: [9][4800/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 2.5095 (2.6624) Prec@1 44.922 (41.445) Prec@5 71.094 (67.109)
Epoch: [9][4810/5005] Time 0.465 (0.465) Data 0.000 (0.001) Loss 2.7523 (2.6625) Prec@1 44.531 (41.445) Prec@5 65.625 (67.107)
Epoch: [9][4820/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 2.4209 (2.6623) Prec@1 42.188 (41.451) Prec@5 71.094 (67.108)
Epoch: [9][4830/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.8439 (2.6623) Prec@1 41.797 (41.452) Prec@5 62.500 (67.106)
Epoch: [9][4840/5005] Time 0.477 (0.465) Data 0.000 (0.001) Loss 2.6774 (2.6622) Prec@1 39.844 (41.456) Prec@5 64.453 (67.107)
Epoch: [9][4850/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.8334 (2.6622) Prec@1 41.406 (41.458) Prec@5 67.188 (67.108)
Epoch: [9][4860/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.8378 (2.6622) Prec@1 36.328 (41.455) Prec@5 66.016 (67.107)
Epoch: [9][4870/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.7161 (2.6622) Prec@1 41.016 (41.456) Prec@5 66.797 (67.107)
Epoch: [9][4880/5005] Time 0.463 (0.465) Data 0.000 (0.001) Loss 2.4239 (2.6622) Prec@1 45.312 (41.458) Prec@5 71.094 (67.108)
Epoch: [9][4890/5005] Time 0.466 (0.465) Data 0.000 (0.001) Loss 2.6982 (2.6623) Prec@1 39.844 (41.457) Prec@5 64.453 (67.106)
Epoch: [9][4900/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.7523 (2.6623) Prec@1 44.141 (41.456) Prec@5 65.234 (67.106)
Epoch: [9][4910/5005] Time 0.465 (0.465) Data 0.000 (0.001) Loss 2.7157 (2.6622) Prec@1 42.969 (41.459) Prec@5 70.703 (67.109)
Epoch: [9][4920/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.6513 (2.6621) Prec@1 41.797 (41.459) Prec@5 66.016 (67.108)
Epoch: [9][4930/5005] Time 0.477 (0.465) Data 0.000 (0.001) Loss 2.6095 (2.6621) Prec@1 43.359 (41.460) Prec@5 64.062 (67.107)
Epoch: [9][4940/5005] Time 0.476 (0.465) Data 0.000 (0.001) Loss 2.6883 (2.6620) Prec@1 38.672 (41.462) Prec@5 65.625 (67.108)
Epoch: [9][4950/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 2.7261 (2.6620) Prec@1 40.234 (41.465) Prec@5 66.797 (67.109)
Epoch: [9][4960/5005] Time 0.473 (0.465) Data 0.000 (0.001) Loss 2.5364 (2.6621) Prec@1 42.188 (41.465) Prec@5 67.578 (67.108)
Epoch: [9][4970/5005] Time 0.464 (0.465) Data 0.000 (0.001) Loss 2.9345 (2.6621) Prec@1 42.188 (41.465) Prec@5 63.281 (67.108)
Epoch: [9][4980/5005] Time 0.463 (0.465) Data 0.000 (0.001) Loss 2.7600 (2.6621) Prec@1 37.109 (41.463) Prec@5 61.328 (67.106)
Epoch: [9][4990/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 2.5829 (2.6622) Prec@1 44.922 (41.463) Prec@5 66.797 (67.102)
Epoch: [9][5000/5005] Time 0.454 (0.465) Data 0.000 (0.001) Loss 2.3027 (2.6621) Prec@1 46.094 (41.467) Prec@5 73.047 (67.105)
Test: [0/196] Time 5.394 (5.394) Loss 1.1019 (1.1019) Prec@1 72.266 (72.266) Prec@5 91.406 (91.406)
Test: [10/196] Time 0.152 (0.629) Loss 1.9167 (1.5388) Prec@1 47.266 (61.364) Prec@5 83.594 (84.446)
Test: [20/196] Time 0.155 (0.402) Loss 1.7379 (1.5513) Prec@1 63.281 (62.240) Prec@5 80.859 (84.301)
Test: [30/196] Time 0.151 (0.323) Loss 1.6534 (1.5638) Prec@1 52.734 (62.034) Prec@5 86.328 (84.148)
Test: [40/196] Time 0.152 (0.282) Loss 1.8500 (1.6856) Prec@1 53.906 (58.165) Prec@5 82.812 (83.060)
Test: [50/196] Time 0.155 (0.257) Loss 1.1312 (1.6531) Prec@1 73.828 (58.379) Prec@5 91.016 (83.977)
Test: [60/196] Time 0.152 (0.240) Loss 2.2537 (1.6590) Prec@1 41.797 (58.184) Prec@5 78.906 (84.068)
Test: [70/196] Time 0.148 (0.228) Loss 1.7964 (1.6379) Prec@1 58.594 (58.704) Prec@5 79.297 (84.331)
Test: [80/196] Time 0.152 (0.218) Loss 2.6175 (1.6596) Prec@1 46.875 (58.449) Prec@5 68.750 (83.965)
Test: [90/196] Time 0.153 (0.211) Loss 3.5726 (1.7639) Prec@1 25.000 (56.731) Prec@5 54.688 (82.357)
Test: [100/196] Time 0.152 (0.205) Loss 3.0990 (1.8464) Prec@1 30.469 (55.217) Prec@5 60.547 (81.026)
Test: [110/196] Time 0.153 (0.200) Loss 2.0747 (1.8777) Prec@1 57.812 (54.937) Prec@5 75.000 (80.416)
Test: [120/196] Time 0.151 (0.196) Loss 3.0066 (1.9175) Prec@1 41.797 (54.500) Prec@5 62.109 (79.710)
Test: [130/196] Time 0.149 (0.193) Loss 2.0724 (1.9572) Prec@1 48.438 (53.701) Prec@5 77.344 (79.070)
Test: [140/196] Time 0.157 (0.190) Loss 2.1786 (1.9980) Prec@1 47.266 (53.003) Prec@5 77.734 (78.336)
Test: [150/196] Time 0.151 (0.187) Loss 2.5420 (2.0323) Prec@1 52.734 (52.471) Prec@5 68.359 (77.701)
Test: [160/196] Time 0.149 (0.185) Loss 2.1974 (2.0583) Prec@1 53.906 (52.138) Prec@5 75.000 (77.312)
Test: [170/196] Time 0.154 (0.183) Loss 1.6764 (2.0907) Prec@1 59.375 (51.496) Prec@5 82.812 (76.768)
Test: [180/196] Time 0.148 (0.182) Loss 1.9122 (2.1138) Prec@1 48.047 (51.057) Prec@5 81.641 (76.455)
Test: [190/196] Time 0.148 (0.180) Loss 1.5783 (2.1078) Prec@1 61.719 (51.145) Prec@5 87.500 (76.579)
* Prec@1 51.454 Prec@5 76.782
Epoch: [10][0/5005] Time 4.361 (4.361) Data 4.174 (4.174) Loss 2.6911 (2.6911) Prec@1 41.016 (41.016) Prec@5 67.578 (67.578)
Epoch: [10][10/5005] Time 0.446 (0.818) Data 0.000 (0.405) Loss 2.7919 (2.6348) Prec@1 35.156 (41.655) Prec@5 66.406 (66.939)
Epoch: [10][20/5005] Time 0.456 (0.647) Data 0.000 (0.214) Loss 2.5455 (2.6027) Prec@1 39.844 (42.281) Prec@5 72.656 (68.397)
Epoch: [10][30/5005] Time 0.475 (0.588) Data 0.000 (0.145) Loss 2.6892 (2.5812) Prec@1 41.406 (42.868) Prec@5 68.359 (68.939)
Epoch: [10][40/5005] Time 0.463 (0.557) Data 0.000 (0.110) Loss 2.5434 (2.6034) Prec@1 42.578 (42.388) Prec@5 71.094 (68.550)
Epoch: [10][50/5005] Time 0.476 (0.539) Data 0.001 (0.089) Loss 2.8216 (2.6240) Prec@1 37.891 (42.042) Prec@5 64.453 (68.222)
Epoch: [10][60/5005] Time 0.463 (0.526) Data 0.000 (0.074) Loss 2.6908 (2.6241) Prec@1 39.844 (42.015) Prec@5 66.016 (68.014)
Epoch: [10][70/5005] Time 0.468 (0.517) Data 0.000 (0.064) Loss 2.4195 (2.6109) Prec@1 48.047 (42.226) Prec@5 69.141 (68.035)
Epoch: [10][80/5005] Time 0.474 (0.511) Data 0.000 (0.056) Loss 2.8271 (2.6207) Prec@1 38.281 (41.995) Prec@5 64.062 (67.916)
Epoch: [10][90/5005] Time 0.476 (0.506) Data 0.000 (0.050) Loss 2.5375 (2.6134) Prec@1 46.484 (42.157) Prec@5 69.141 (68.089)
Epoch: [10][100/5005] Time 0.452 (0.502) Data 0.000 (0.045) Loss 2.5284 (2.6095) Prec@1 46.094 (42.265) Prec@5 67.969 (68.181)
Epoch: [10][110/5005] Time 0.470 (0.499) Data 0.000 (0.041) Loss 2.6060 (2.6031) Prec@1 41.406 (42.226) Prec@5 67.188 (68.303)
Epoch: [10][120/5005] Time 0.453 (0.495) Data 0.000 (0.038) Loss 2.7032 (2.6141) Prec@1 39.844 (42.068) Prec@5 67.188 (68.085)
Epoch: [10][130/5005] Time 0.444 (0.493) Data 0.000 (0.035) Loss 2.5932 (2.6111) Prec@1 42.188 (42.131) Prec@5 69.141 (68.163)
Epoch: [10][140/5005] Time 0.465 (0.491) Data 0.000 (0.032) Loss 2.8318 (2.6091) Prec@1 39.844 (42.160) Prec@5 64.062 (68.168)
Epoch: [10][150/5005] Time 0.455 (0.489) Data 0.000 (0.030) Loss 2.5692 (2.6090) Prec@1 43.750 (42.162) Prec@5 67.578 (68.072)
Epoch: [10][160/5005] Time 0.453 (0.487) Data 0.000 (0.028) Loss 2.8845 (2.6088) Prec@1 38.672 (42.149) Prec@5 64.062 (68.037)
Epoch: [10][170/5005] Time 0.467 (0.485) Data 0.000 (0.027) Loss 2.5918 (2.6072) Prec@1 41.797 (42.183) Prec@5 69.922 (68.058)
Epoch: [10][180/5005] Time 0.479 (0.485) Data 0.000 (0.025) Loss 2.6265 (2.6008) Prec@1 44.141 (42.319) Prec@5 68.750 (68.172)
Epoch: [10][190/5005] Time 0.473 (0.484) Data 0.000 (0.024) Loss 2.6022 (2.6045) Prec@1 41.016 (42.284) Prec@5 66.797 (68.108)
Epoch: [10][200/5005] Time 0.460 (0.483) Data 0.000 (0.023) Loss 2.3567 (2.6012) Prec@1 49.609 (42.357) Prec@5 70.703 (68.188)
Epoch: [10][210/5005] Time 0.480 (0.482) Data 0.000 (0.022) Loss 2.7550 (2.6041) Prec@1 36.719 (42.350) Prec@5 69.141 (68.180)
Epoch: [10][220/5005] Time 0.472 (0.481) Data 0.000 (0.021) Loss 2.3151 (2.6054) Prec@1 50.000 (42.331) Prec@5 75.000 (68.177)
Epoch: [10][230/5005] Time 0.469 (0.480) Data 0.000 (0.020) Loss 2.7436 (2.6033) Prec@1 42.578 (42.382) Prec@5 63.672 (68.226)
Epoch: [10][240/5005] Time 0.478 (0.479) Data 0.000 (0.019) Loss 2.4615 (2.6050) Prec@1 44.922 (42.338) Prec@5 70.312 (68.213)
Epoch: [10][250/5005] Time 0.467 (0.479) Data 0.000 (0.018) Loss 2.8954 (2.6071) Prec@1 37.109 (42.303) Prec@5 61.719 (68.177)
Epoch: [10][260/5005] Time 0.472 (0.478) Data 0.000 (0.018) Loss 2.5603 (2.6075) Prec@1 42.578 (42.267) Prec@5 66.406 (68.151)
Epoch: [10][270/5005] Time 0.461 (0.478) Data 0.000 (0.017) Loss 2.7525 (2.6091) Prec@1 37.500 (42.247) Prec@5 65.234 (68.109)
Epoch: [10][280/5005] Time 0.472 (0.477) Data 0.000 (0.016) Loss 2.7301 (2.6110) Prec@1 42.188 (42.261) Prec@5 68.359 (68.038)
Epoch: [10][290/5005] Time 0.466 (0.477) Data 0.000 (0.016) Loss 2.6627 (2.6107) Prec@1 41.406 (42.287) Prec@5 66.016 (68.029)
Epoch: [10][300/5005] Time 0.479 (0.476) Data 0.001 (0.015) Loss 2.5830 (2.6080) Prec@1 39.453 (42.278) Prec@5 69.141 (68.101)
Epoch: [10][310/5005] Time 0.456 (0.476) Data 0.000 (0.015) Loss 2.6915 (2.6079) Prec@1 42.188 (42.284) Prec@5 67.188 (68.079)
Epoch: [10][320/5005] Time 0.462 (0.476) Data 0.000 (0.014) Loss 2.6669 (2.6063) Prec@1 41.797 (42.348) Prec@5 63.672 (68.070)
Epoch: [10][330/5005] Time 0.466 (0.475) Data 0.000 (0.014) Loss 2.7864 (2.6066) Prec@1 41.797 (42.363) Prec@5 64.062 (68.062)
Epoch: [10][340/5005] Time 0.475 (0.475) Data 0.000 (0.014) Loss 2.6716 (2.6049) Prec@1 41.797 (42.375) Prec@5 66.797 (68.102)
Epoch: [10][350/5005] Time 0.478 (0.475) Data 0.000 (0.013) Loss 2.5405 (2.6032) Prec@1 42.578 (42.426) Prec@5 71.875 (68.131)
Epoch: [10][360/5005] Time 0.456 (0.474) Data 0.000 (0.013) Loss 2.6721 (2.6025) Prec@1 36.719 (42.405) Prec@5 67.969 (68.128)
Epoch: [10][370/5005] Time 0.475 (0.474) Data 0.000 (0.013) Loss 2.4877 (2.6018) Prec@1 42.578 (42.415) Prec@5 67.578 (68.124)
Epoch: [10][380/5005] Time 0.458 (0.474) Data 0.000 (0.012) Loss 2.6393 (2.6005) Prec@1 37.500 (42.433) Prec@5 65.234 (68.145)
Epoch: [10][390/5005] Time 0.473 (0.473) Data 0.000 (0.012) Loss 2.8651 (2.6016) Prec@1 38.672 (42.409) Prec@5 62.109 (68.108)
Epoch: [10][400/5005] Time 0.459 (0.473) Data 0.000 (0.012) Loss 2.5861 (2.6020) Prec@1 44.531 (42.405) Prec@5 72.266 (68.091)
Epoch: [10][410/5005] Time 0.457 (0.473) Data 0.000 (0.011) Loss 2.4496 (2.6008) Prec@1 40.234 (42.403) Prec@5 71.094 (68.112)
Epoch: [10][420/5005] Time 0.475 (0.473) Data 0.000 (0.011) Loss 2.7762 (2.6018) Prec@1 41.016 (42.417) Prec@5 63.672 (68.090)
Epoch: [10][430/5005] Time 0.461 (0.472) Data 0.000 (0.011) Loss 2.5488 (2.6003) Prec@1 45.703 (42.450) Prec@5 66.797 (68.095)
Epoch: [10][440/5005] Time 0.470 (0.472) Data 0.000 (0.011) Loss 2.7585 (2.5984) Prec@1 38.281 (42.484) Prec@5 65.625 (68.114)
Epoch: [10][450/5005] Time 0.475 (0.472) Data 0.000 (0.010) Loss 2.3856 (2.5967) Prec@1 45.312 (42.532) Prec@5 68.359 (68.118)
Epoch: [10][460/5005] Time 0.460 (0.472) Data 0.000 (0.010) Loss 2.8190 (2.5974) Prec@1 39.844 (42.517) Prec@5 67.188 (68.114)
Epoch: [10][470/5005] Time 0.456 (0.472) Data 0.000 (0.010) Loss 2.8221 (2.5974) Prec@1 37.109 (42.512) Prec@5 65.234 (68.114)
Epoch: [10][480/5005] Time 0.463 (0.471) Data 0.000 (0.010) Loss 2.5936 (2.5963) Prec@1 42.188 (42.529) Prec@5 65.234 (68.123)
Epoch: [10][490/5005] Time 0.459 (0.471) Data 0.000 (0.010) Loss 2.5753 (2.5952) Prec@1 42.969 (42.546) Prec@5 71.484 (68.146)
Epoch: [10][500/5005] Time 0.477 (0.471) Data 0.000 (0.009) Loss 2.7250 (2.5958) Prec@1 42.969 (42.545) Prec@5 65.625 (68.141)
Epoch: [10][510/5005] Time 0.481 (0.471) Data 0.000 (0.009) Loss 2.9110 (2.5956) Prec@1 36.719 (42.562) Prec@5 66.016 (68.146)
Epoch: [10][520/5005] Time 0.454 (0.471) Data 0.000 (0.009) Loss 2.6925 (2.5943) Prec@1 42.969 (42.562) Prec@5 64.844 (68.177)
Epoch: [10][530/5005] Time 0.456 (0.471) Data 0.000 (0.009) Loss 2.6486 (2.5953) Prec@1 43.359 (42.542) Prec@5 66.016 (68.155)
Epoch: [10][540/5005] Time 0.454 (0.471) Data 0.000 (0.009) Loss 2.6009 (2.5962) Prec@1 42.578 (42.521) Prec@5 68.359 (68.138)
Epoch: [10][550/5005] Time 0.459 (0.471) Data 0.000 (0.009) Loss 2.5529 (2.5966) Prec@1 44.922 (42.536) Prec@5 67.188 (68.111)
Epoch: [10][560/5005] Time 0.474 (0.470) Data 0.000 (0.008) Loss 2.5842 (2.5957) Prec@1 43.359 (42.543) Prec@5 66.797 (68.121)
Epoch: [10][570/5005] Time 0.452 (0.470) Data 0.000 (0.008) Loss 2.6496 (2.5973) Prec@1 42.969 (42.548) Prec@5 68.750 (68.117)
Epoch: [10][580/5005] Time 0.473 (0.470) Data 0.000 (0.008) Loss 2.8091 (2.5975) Prec@1 37.891 (42.518) Prec@5 63.281 (68.109)
Epoch: [10][590/5005] Time 0.451 (0.470) Data 0.000 (0.008) Loss 2.7519 (2.5994) Prec@1 41.016 (42.504) Prec@5 64.453 (68.082)
Epoch: [10][600/5005] Time 0.467 (0.470) Data 0.000 (0.008) Loss 2.3924 (2.5988) Prec@1 48.828 (42.520) Prec@5 71.094 (68.087)
Epoch: [10][610/5005] Time 0.455 (0.470) Data 0.000 (0.008) Loss 2.4256 (2.5977) Prec@1 46.875 (42.528) Prec@5 71.094 (68.102)
Epoch: [10][620/5005] Time 0.466 (0.470) Data 0.000 (0.008) Loss 2.7839 (2.5988) Prec@1 40.234 (42.518) Prec@5 65.625 (68.093)
Epoch: [10][630/5005] Time 0.452 (0.470) Data 0.000 (0.008) Loss 2.6570 (2.5974) Prec@1 39.844 (42.553) Prec@5 66.406 (68.116)
Epoch: [10][640/5005] Time 0.475 (0.470) Data 0.000 (0.007) Loss 2.4090 (2.5971) Prec@1 45.312 (42.547) Prec@5 73.047 (68.122)
Epoch: [10][650/5005] Time 0.451 (0.470) Data 0.000 (0.007) Loss 2.8179 (2.5978) Prec@1 39.062 (42.537) Prec@5 62.891 (68.128)
Epoch: [10][660/5005] Time 0.473 (0.469) Data 0.000 (0.007) Loss 2.9725 (2.5975) Prec@1 39.844 (42.550) Prec@5 62.109 (68.127)
Epoch: [10][670/5005] Time 0.477 (0.469) Data 0.000 (0.007) Loss 2.6921 (2.5981) Prec@1 40.234 (42.532) Prec@5 66.016 (68.119)
Epoch: [10][680/5005] Time 0.455 (0.469) Data 0.000 (0.007) Loss 2.3719 (2.5982) Prec@1 48.438 (42.525) Prec@5 70.703 (68.121)
Epoch: [10][690/5005] Time 0.472 (0.469) Data 0.000 (0.007) Loss 2.5677 (2.5973) Prec@1 42.188 (42.541) Prec@5 70.312 (68.145)
Epoch: [10][700/5005] Time 0.474 (0.469) Data 0.000 (0.007) Loss 2.5495 (2.5971) Prec@1 44.531 (42.536) Prec@5 67.969 (68.152)
Epoch: [10][710/5005] Time 0.472 (0.469) Data 0.000 (0.007) Loss 2.3506 (2.5966) Prec@1 44.531 (42.544) Prec@5 73.438 (68.160)
Epoch: [10][720/5005] Time 0.473 (0.469) Data 0.000 (0.007) Loss 2.2701 (2.5960) Prec@1 46.875 (42.545) Prec@5 74.219 (68.177)
Epoch: [10][730/5005] Time 0.455 (0.469) Data 0.000 (0.007) Loss 2.4783 (2.5953) Prec@1 43.359 (42.553) Prec@5 70.703 (68.193)
Epoch: [10][740/5005] Time 0.457 (0.469) Data 0.000 (0.006) Loss 2.4199 (2.5957) Prec@1 44.531 (42.549) Prec@5 72.656 (68.183)
Epoch: [10][750/5005] Time 0.454 (0.469) Data 0.000 (0.006) Loss 2.5854 (2.5967) Prec@1 42.188 (42.546) Prec@5 69.531 (68.174)
Epoch: [10][760/5005] Time 0.456 (0.469) Data 0.000 (0.006) Loss 2.7480 (2.5967) Prec@1 40.234 (42.548) Prec@5 65.234 (68.187)
Epoch: [10][770/5005] Time 0.453 (0.469) Data 0.000 (0.006) Loss 2.4665 (2.5968) Prec@1 42.969 (42.547) Prec@5 69.922 (68.190)
Epoch: [10][780/5005] Time 0.472 (0.469) Data 0.000 (0.006) Loss 2.6951 (2.5973) Prec@1 38.672 (42.532) Prec@5 69.141 (68.187)
Epoch: [10][790/5005] Time 0.462 (0.469) Data 0.000 (0.006) Loss 2.6956 (2.5963) Prec@1 42.188 (42.544) Prec@5 66.797 (68.221)
Epoch: [10][800/5005] Time 0.470 (0.469) Data 0.000 (0.006) Loss 2.4428 (2.5963) Prec@1 44.922 (42.543) Prec@5 71.875 (68.217)
Epoch: [10][810/5005] Time 0.448 (0.468) Data 0.000 (0.006) Loss 2.6422 (2.5957) Prec@1 44.922 (42.555) Prec@5 69.922 (68.234)
Epoch: [10][820/5005] Time 0.478 (0.468) Data 0.001 (0.006) Loss 2.4509 (2.5957) Prec@1 48.047 (42.553) Prec@5 69.141 (68.229)
Epoch: [10][830/5005] Time 0.470 (0.468) Data 0.000 (0.006) Loss 2.3666 (2.5970) Prec@1 42.578 (42.542) Prec@5 71.094 (68.212)
Epoch: [10][840/5005] Time 0.471 (0.468) Data 0.000 (0.006) Loss 2.6529 (2.5978) Prec@1 41.797 (42.534) Prec@5 67.969 (68.204)
Epoch: [10][850/5005] Time 0.457 (0.468) Data 0.000 (0.006) Loss 2.4252 (2.5974) Prec@1 44.141 (42.535) Prec@5 69.531 (68.212)
Epoch: [10][860/5005] Time 0.472 (0.468) Data 0.000 (0.006) Loss 2.4535 (2.5984) Prec@1 46.484 (42.521) Prec@5 72.656 (68.187)
Epoch: [10][870/5005] Time 0.456 (0.468) Data 0.000 (0.006) Loss 2.4235 (2.5985) Prec@1 46.875 (42.518) Prec@5 69.531 (68.170)
Epoch: [10][880/5005] Time 0.452 (0.468) Data 0.000 (0.006) Loss 2.7319 (2.5993) Prec@1 40.234 (42.509) Prec@5 66.016 (68.148)
Epoch: [10][890/5005] Time 0.473 (0.468) Data 0.000 (0.005) Loss 2.6782 (2.6000) Prec@1 42.578 (42.497) Prec@5 66.797 (68.134)
Epoch: [10][900/5005] Time 0.473 (0.468) Data 0.000 (0.005) Loss 2.5935 (2.5996) Prec@1 43.750 (42.506) Prec@5 69.141 (68.130)
Epoch: [10][910/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 2.6542 (2.5987) Prec@1 39.844 (42.513) Prec@5 69.141 (68.146)
Epoch: [10][920/5005] Time 0.471 (0.468) Data 0.000 (0.005) Loss 2.7552 (2.5992) Prec@1 38.672 (42.514) Prec@5 70.312 (68.152)
Epoch: [10][930/5005] Time 0.457 (0.468) Data 0.000 (0.005) Loss 2.4955 (2.5983) Prec@1 43.359 (42.531) Prec@5 67.578 (68.163)
Epoch: [10][940/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 2.3223 (2.5975) Prec@1 51.172 (42.551) Prec@5 69.922 (68.185)
Epoch: [10][950/5005] Time 0.475 (0.468) Data 0.000 (0.005) Loss 2.4873 (2.5981) Prec@1 45.312 (42.536) Prec@5 68.359 (68.168)
Epoch: [10][960/5005] Time 0.470 (0.468) Data 0.000 (0.005) Loss 2.5028 (2.5976) Prec@1 41.016 (42.536) Prec@5 72.266 (68.176)
Epoch: [10][970/5005] Time 0.459 (0.468) Data 0.000 (0.005) Loss 2.6858 (2.5972) Prec@1 43.750 (42.546) Prec@5 65.625 (68.184)
Epoch: [10][980/5005] Time 0.473 (0.468) Data 0.000 (0.005) Loss 2.4115 (2.5974) Prec@1 47.266 (42.546) Prec@5 72.266 (68.179)
Epoch: [10][990/5005] Time 0.473 (0.468) Data 0.000 (0.005) Loss 2.3173 (2.5968) Prec@1 47.266 (42.553) Prec@5 71.484 (68.194)
Epoch: [10][1000/5005] Time 0.471 (0.468) Data 0.000 (0.005) Loss 2.9617 (2.5969) Prec@1 38.281 (42.556) Prec@5 63.672 (68.203)
Epoch: [10][1010/5005] Time 0.471 (0.468) Data 0.000 (0.005) Loss 2.5466 (2.5973) Prec@1 47.266 (42.541) Prec@5 71.875 (68.198)
Epoch: [10][1020/5005] Time 0.474 (0.468) Data 0.000 (0.005) Loss 2.5995 (2.5978) Prec@1 42.969 (42.537) Prec@5 68.750 (68.185)
Epoch: [10][1030/5005] Time 0.464 (0.468) Data 0.000 (0.005) Loss 2.7621 (2.5978) Prec@1 42.188 (42.544) Prec@5 65.625 (68.182)
Epoch: [10][1040/5005] Time 0.481 (0.468) Data 0.000 (0.005) Loss 2.5198 (2.5984) Prec@1 45.703 (42.542) Prec@5 68.750 (68.174)
Epoch: [10][1050/5005] Time 0.474 (0.467) Data 0.000 (0.005) Loss 2.6139 (2.5984) Prec@1 42.969 (42.547) Prec@5 69.531 (68.174)
Epoch: [10][1060/5005] Time 0.450 (0.467) Data 0.000 (0.005) Loss 2.4249 (2.5986) Prec@1 47.656 (42.549) Prec@5 72.266 (68.166)
Epoch: [10][1070/5005] Time 0.456 (0.467) Data 0.000 (0.005) Loss 2.5097 (2.5986) Prec@1 44.141 (42.546) Prec@5 68.359 (68.170)
Epoch: [10][1080/5005] Time 0.470 (0.467) Data 0.000 (0.005) Loss 2.8697 (2.5992) Prec@1 39.062 (42.547) Prec@5 63.281 (68.159)
Epoch: [10][1090/5005] Time 0.453 (0.467) Data 0.000 (0.005) Loss 2.7510 (2.5999) Prec@1 41.406 (42.548) Prec@5 67.578 (68.143)
Epoch: [10][1100/5005] Time 0.462 (0.467) Data 0.000 (0.004) Loss 2.6082 (2.5999) Prec@1 43.359 (42.550) Prec@5 67.578 (68.140)
Epoch: [10][1110/5005] Time 0.462 (0.467) Data 0.000 (0.004) Loss 2.4824 (2.5998) Prec@1 44.531 (42.559) Prec@5 67.188 (68.143)
Epoch: [10][1120/5005] Time 0.472 (0.467) Data 0.000 (0.004) Loss 2.5096 (2.5999) Prec@1 42.969 (42.557) Prec@5 68.750 (68.131)
Epoch: [10][1130/5005] Time 0.466 (0.467) Data 0.000 (0.004) Loss 2.7481 (2.5995) Prec@1 43.359 (42.567) Prec@5 67.188 (68.139)
Epoch: [10][1140/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 2.5957 (2.5999) Prec@1 41.797 (42.551) Prec@5 67.578 (68.127)
Epoch: [10][1150/5005] Time 0.466 (0.467) Data 0.000 (0.004) Loss 2.6349 (2.5997) Prec@1 38.281 (42.551) Prec@5 68.359 (68.136)
Epoch: [10][1160/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.6715 (2.6001) Prec@1 43.750 (42.548) Prec@5 66.797 (68.136)
Epoch: [10][1170/5005] Time 0.452 (0.467) Data 0.000 (0.004) Loss 2.6102 (2.6002) Prec@1 44.141 (42.550) Prec@5 67.188 (68.130)
Epoch: [10][1180/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 2.4543 (2.6001) Prec@1 42.578 (42.550) Prec@5 71.875 (68.125)
Epoch: [10][1190/5005] Time 0.476 (0.467) Data 0.000 (0.004) Loss 2.6057 (2.6009) Prec@1 46.484 (42.530) Prec@5 68.750 (68.118)
Epoch: [10][1200/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 2.5275 (2.6006) Prec@1 44.922 (42.535) Prec@5 67.578 (68.126)
Epoch: [10][1210/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.4499 (2.6001) Prec@1 46.094 (42.542) Prec@5 73.047 (68.130)
Epoch: [10][1220/5005] Time 0.456 (0.467) Data 0.000 (0.004) Loss 2.7572 (2.6003) Prec@1 42.188 (42.537) Prec@5 68.750 (68.129)
Epoch: [10][1230/5005] Time 0.457 (0.467) Data 0.000 (0.004) Loss 2.5279 (2.5997) Prec@1 42.188 (42.540) Prec@5 72.656 (68.137)
Epoch: [10][1240/5005] Time 0.470 (0.467) Data 0.000 (0.004) Loss 2.3780 (2.5999) Prec@1 48.047 (42.536) Prec@5 71.094 (68.139)
Epoch: [10][1250/5005] Time 0.469 (0.467) Data 0.000 (0.004) Loss 2.7702 (2.6004) Prec@1 37.891 (42.527) Prec@5 64.453 (68.129)
Epoch: [10][1260/5005] Time 0.463 (0.467) Data 0.000 (0.004) Loss 2.5814 (2.6005) Prec@1 39.453 (42.521) Prec@5 66.797 (68.126)
Epoch: [10][1270/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.5732 (2.6012) Prec@1 41.016 (42.504) Prec@5 67.578 (68.119)
Epoch: [10][1280/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.4923 (2.6011) Prec@1 45.312 (42.508) Prec@5 70.312 (68.125)
Epoch: [10][1290/5005] Time 0.476 (0.467) Data 0.000 (0.004) Loss 2.6643 (2.6011) Prec@1 37.500 (42.498) Prec@5 66.797 (68.125)
Epoch: [10][1300/5005] Time 0.475 (0.467) Data 0.000 (0.004) Loss 2.5214 (2.6010) Prec@1 44.141 (42.497) Prec@5 69.922 (68.134)
Epoch: [10][1310/5005] Time 0.477 (0.467) Data 0.001 (0.004) Loss 2.5063 (2.6006) Prec@1 40.625 (42.496) Prec@5 69.141 (68.141)
Epoch: [10][1320/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 2.4590 (2.6003) Prec@1 46.484 (42.507) Prec@5 71.484 (68.152)
Epoch: [10][1330/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.6306 (2.6001) Prec@1 41.406 (42.514) Prec@5 66.797 (68.155)
Epoch: [10][1340/5005] Time 0.463 (0.467) Data 0.000 (0.004) Loss 2.7689 (2.5997) Prec@1 40.625 (42.514) Prec@5 65.625 (68.157)
Epoch: [10][1350/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 2.4011 (2.5989) Prec@1 46.484 (42.526) Prec@5 71.484 (68.168)
Epoch: [10][1360/5005] Time 0.447 (0.467) Data 0.000 (0.004) Loss 2.9373 (2.5987) Prec@1 37.891 (42.530) Prec@5 63.672 (68.173)
Epoch: [10][1370/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.5972 (2.5987) Prec@1 42.188 (42.533) Prec@5 67.578 (68.177)
Epoch: [10][1380/5005] Time 0.465 (0.467) Data 0.000 (0.004) Loss 2.6455 (2.5986) Prec@1 41.797 (42.537) Prec@5 67.578 (68.175)
Epoch: [10][1390/5005] Time 0.455 (0.467) Data 0.000 (0.004) Loss 2.8490 (2.5988) Prec@1 33.594 (42.536) Prec@5 65.625 (68.176)
Epoch: [10][1400/5005] Time 0.447 (0.467) Data 0.000 (0.004) Loss 2.5351 (2.5985) Prec@1 43.750 (42.541) Prec@5 67.188 (68.174)
Epoch: [10][1410/5005] Time 0.472 (0.467) Data 0.000 (0.004) Loss 2.5367 (2.5988) Prec@1 47.266 (42.540) Prec@5 66.016 (68.175)
Epoch: [10][1420/5005] Time 0.475 (0.467) Data 0.000 (0.004) Loss 2.4577 (2.5984) Prec@1 47.266 (42.549) Prec@5 70.312 (68.180)
Epoch: [10][1430/5005] Time 0.474 (0.467) Data 0.000 (0.004) Loss 2.6313 (2.5983) Prec@1 42.969 (42.554) Prec@5 66.406 (68.181)
Epoch: [10][1440/5005] Time 0.461 (0.467) Data 0.000 (0.004) Loss 2.6654 (2.5990) Prec@1 43.750 (42.543) Prec@5 66.797 (68.173)
Epoch: [10][1450/5005] Time 0.451 (0.467) Data 0.000 (0.004) Loss 2.4988 (2.5986) Prec@1 43.359 (42.556) Prec@5 69.531 (68.177)
Epoch: [10][1460/5005] Time 0.478 (0.467) Data 0.000 (0.003) Loss 2.4369 (2.5983) Prec@1 41.016 (42.563) Prec@5 69.922 (68.183)
Epoch: [10][1470/5005] Time 0.476 (0.467) Data 0.000 (0.003) Loss 2.5392 (2.5989) Prec@1 46.094 (42.557) Prec@5 67.969 (68.173)
Epoch: [10][1480/5005] Time 0.469 (0.467) Data 0.000 (0.003) Loss 2.5889 (2.5989) Prec@1 39.844 (42.560) Prec@5 67.578 (68.171)
Epoch: [10][1490/5005] Time 0.472 (0.467) Data 0.000 (0.003) Loss 2.5636 (2.5988) Prec@1 39.844 (42.563) Prec@5 70.312 (68.177)
Epoch: [10][1500/5005] Time 0.468 (0.467) Data 0.000 (0.003) Loss 2.6371 (2.5992) Prec@1 42.188 (42.558) Prec@5 69.141 (68.162)
Epoch: [10][1510/5005] Time 0.468 (0.467) Data 0.000 (0.003) Loss 2.6000 (2.5988) Prec@1 41.406 (42.565) Prec@5 67.578 (68.171)
Epoch: [10][1520/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.2348 (2.5983) Prec@1 46.875 (42.569) Prec@5 76.562 (68.181)
Epoch: [10][1530/5005] Time 0.457 (0.466) Data 0.000 (0.003) Loss 2.5728 (2.5981) Prec@1 42.969 (42.574) Prec@5 69.141 (68.181)
Epoch: [10][1540/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 2.5054 (2.5980) Prec@1 51.562 (42.579) Prec@5 74.219 (68.185)
Epoch: [10][1550/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.5965 (2.5983) Prec@1 44.141 (42.577) Prec@5 69.531 (68.183)
Epoch: [10][1560/5005] Time 0.477 (0.466) Data 0.000 (0.003) Loss 2.6210 (2.5978) Prec@1 45.312 (42.588) Prec@5 69.922 (68.190)
Epoch: [10][1570/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 2.4713 (2.5977) Prec@1 45.703 (42.594) Prec@5 68.750 (68.189)
Epoch: [10][1580/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.6587 (2.5974) Prec@1 41.797 (42.603) Prec@5 67.578 (68.190)
Epoch: [10][1590/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 2.4975 (2.5975) Prec@1 42.188 (42.604) Prec@5 69.141 (68.187)
Epoch: [10][1600/5005] Time 0.464 (0.466) Data 0.000 (0.003) Loss 2.4745 (2.5973) Prec@1 42.969 (42.599) Prec@5 69.922 (68.192)
Epoch: [10][1610/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 2.6404 (2.5970) Prec@1 37.500 (42.603) Prec@5 67.578 (68.199)
Epoch: [10][1620/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 2.4158 (2.5966) Prec@1 43.750 (42.607) Prec@5 69.531 (68.205)
Epoch: [10][1630/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 2.6269 (2.5964) Prec@1 41.016 (42.608) Prec@5 68.750 (68.210)
Epoch: [10][1640/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.4267 (2.5960) Prec@1 43.750 (42.615) Prec@5 71.875 (68.220)
Epoch: [10][1650/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 2.5818 (2.5961) Prec@1 39.844 (42.609) Prec@5 66.016 (68.220)
Epoch: [10][1660/5005] Time 0.459 (0.466) Data 0.000 (0.003) Loss 2.7844 (2.5960) Prec@1 40.625 (42.610) Prec@5 64.453 (68.219)
Epoch: [10][1670/5005] Time 0.458 (0.466) Data 0.000 (0.003) Loss 2.4971 (2.5960) Prec@1 44.531 (42.608) Prec@5 70.703 (68.220)
Epoch: [10][1680/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 2.5989 (2.5961) Prec@1 42.578 (42.601) Prec@5 66.797 (68.217)
Epoch: [10][1690/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.4061 (2.5963) Prec@1 45.312 (42.602) Prec@5 69.141 (68.211)
Epoch: [10][1700/5005] Time 0.450 (0.466) Data 0.001 (0.003) Loss 2.4693 (2.5963) Prec@1 44.141 (42.600) Prec@5 69.531 (68.214)
Epoch: [10][1710/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 2.7047 (2.5965) Prec@1 43.750 (42.602) Prec@5 67.969 (68.211)
Epoch: [10][1720/5005] Time 0.480 (0.466) Data 0.000 (0.003) Loss 2.5613 (2.5967) Prec@1 43.359 (42.599) Prec@5 66.797 (68.205)
Epoch: [10][1730/5005] Time 0.470 (0.466) Data 0.000 (0.003) Loss 2.5537 (2.5962) Prec@1 42.578 (42.605) Prec@5 70.312 (68.211)
Epoch: [10][1740/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.7067 (2.5962) Prec@1 42.188 (42.608) Prec@5 67.578 (68.214)
Epoch: [10][1750/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.6340 (2.5967) Prec@1 43.359 (42.597) Prec@5 66.016 (68.202)
Epoch: [10][1760/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.4106 (2.5965) Prec@1 47.266 (42.598) Prec@5 71.094 (68.197)
Epoch: [10][1770/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.7136 (2.5965) Prec@1 46.094 (42.597) Prec@5 64.453 (68.197)
Epoch: [10][1780/5005] Time 0.479 (0.466) Data 0.000 (0.003) Loss 2.8076 (2.5967) Prec@1 39.844 (42.596) Prec@5 67.969 (68.201)
Epoch: [10][1790/5005] Time 0.447 (0.466) Data 0.000 (0.003) Loss 2.4959 (2.5965) Prec@1 48.438 (42.601) Prec@5 71.484 (68.212)
Epoch: [10][1800/5005] Time 0.445 (0.466) Data 0.000 (0.003) Loss 2.4735 (2.5961) Prec@1 41.406 (42.602) Prec@5 69.531 (68.218)
Epoch: [10][1810/5005] Time 0.453 (0.466) Data 0.000 (0.003) Loss 2.6221 (2.5964) Prec@1 40.234 (42.602) Prec@5 67.188 (68.215)
Epoch: [10][1820/5005] Time 0.451 (0.466) Data 0.000 (0.003) Loss 2.6343 (2.5966) Prec@1 39.844 (42.599) Prec@5 68.750 (68.205)
Epoch: [10][1830/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.3610 (2.5964) Prec@1 45.703 (42.604) Prec@5 71.484 (68.202)
Epoch: [10][1840/5005] Time 0.461 (0.466) Data 0.000 (0.003) Loss 2.8124 (2.5964) Prec@1 39.062 (42.604) Prec@5 64.844 (68.197)
Epoch: [10][1850/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 2.7203 (2.5966) Prec@1 38.672 (42.599) Prec@5 66.016 (68.198)
Epoch: [10][1860/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 2.4458 (2.5962) Prec@1 45.703 (42.599) Prec@5 69.531 (68.202)
Epoch: [10][1870/5005] Time 0.456 (0.466) Data 0.000 (0.003) Loss 2.7915 (2.5961) Prec@1 36.719 (42.601) Prec@5 66.016 (68.203)
Epoch: [10][1880/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 2.5890 (2.5956) Prec@1 45.312 (42.613) Prec@5 70.703 (68.207)
Epoch: [10][1890/5005] Time 0.473 (0.466) Data 0.000 (0.003) Loss 2.5262 (2.5954) Prec@1 43.359 (42.617) Prec@5 68.359 (68.211)
Epoch: [10][1900/5005] Time 0.471 (0.466) Data 0.000 (0.003) Loss 2.6360 (2.5960) Prec@1 42.188 (42.606) Prec@5 66.797 (68.203)
Epoch: [10][1910/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.8700 (2.5965) Prec@1 41.406 (42.604) Prec@5 64.453 (68.195)
Epoch: [10][1920/5005] Time 0.452 (0.466) Data 0.000 (0.003) Loss 2.5468 (2.5962) Prec@1 42.578 (42.607) Prec@5 68.750 (68.201)
Epoch: [10][1930/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 2.5524 (2.5964) Prec@1 42.578 (42.604) Prec@5 67.188 (68.195)
Epoch: [10][1940/5005] Time 0.465 (0.466) Data 0.000 (0.003) Loss 2.7823 (2.5968) Prec@1 39.844 (42.598) Prec@5 66.797 (68.185)
Epoch: [10][1950/5005] Time 0.479 (0.466) Data 0.000 (0.003) Loss 2.3911 (2.5966) Prec@1 45.312 (42.601) Prec@5 72.266 (68.186)
Epoch: [10][1960/5005] Time 0.479 (0.466) Data 0.000 (0.003) Loss 2.7988 (2.5960) Prec@1 38.672 (42.615) Prec@5 64.844 (68.194)
Epoch: [10][1970/5005] Time 0.449 (0.466) Data 0.000 (0.003) Loss 2.7467 (2.5960) Prec@1 41.797 (42.614) Prec@5 66.016 (68.199)
Epoch: [10][1980/5005] Time 0.457 (0.466) Data 0.001 (0.003) Loss 2.4993 (2.5955) Prec@1 46.094 (42.623) Prec@5 71.094 (68.205)
Epoch: [10][1990/5005] Time 0.469 (0.466) Data 0.000 (0.003) Loss 2.5955 (2.5959) Prec@1 41.797 (42.621) Prec@5 69.141 (68.194)
Epoch: [10][2000/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 2.5453 (2.5962) Prec@1 39.453 (42.612) Prec@5 70.703 (68.183)
Epoch: [10][2010/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.5266 (2.5960) Prec@1 41.406 (42.614) Prec@5 67.578 (68.182)
Epoch: [10][2020/5005] Time 0.455 (0.466) Data 0.000 (0.003) Loss 2.6035 (2.5958) Prec@1 41.406 (42.617) Prec@5 69.922 (68.186)
Epoch: [10][2030/5005] Time 0.467 (0.466) Data 0.000 (0.003) Loss 2.5615 (2.5956) Prec@1 41.797 (42.624) Prec@5 68.359 (68.191)
Epoch: [10][2040/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 2.4465 (2.5955) Prec@1 42.188 (42.624) Prec@5 68.359 (68.189)
Epoch: [10][2050/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.5895 (2.5954) Prec@1 43.359 (42.624) Prec@5 67.188 (68.188)
Epoch: [10][2060/5005] Time 0.466 (0.466) Data 0.000 (0.003) Loss 2.5157 (2.5953) Prec@1 44.141 (42.628) Prec@5 70.703 (68.188)
Epoch: [10][2070/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.6261 (2.5951) Prec@1 39.844 (42.629) Prec@5 64.453 (68.188)
Epoch: [10][2080/5005] Time 0.454 (0.466) Data 0.000 (0.003) Loss 2.9903 (2.5951) Prec@1 35.938 (42.623) Prec@5 61.328 (68.186)
Epoch: [10][2090/5005] Time 0.478 (0.466) Data 0.000 (0.003) Loss 2.4605 (2.5949) Prec@1 46.094 (42.631) Prec@5 69.922 (68.189)
Epoch: [10][2100/5005] Time 0.474 (0.466) Data 0.000 (0.003) Loss 2.7660 (2.5953) Prec@1 41.406 (42.624) Prec@5 67.578 (68.182)
Epoch: [10][2110/5005] Time 0.475 (0.466) Data 0.000 (0.003) Loss 2.4942 (2.5952) Prec@1 42.969 (42.627) Prec@5 71.875 (68.185)
Epoch: [10][2120/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.9093 (2.5951) Prec@1 38.672 (42.627) Prec@5 66.406 (68.186)
Epoch: [10][2130/5005] Time 0.450 (0.466) Data 0.000 (0.003) Loss 2.5073 (2.5952) Prec@1 42.969 (42.626) Prec@5 70.703 (68.187)
Epoch: [10][2140/5005] Time 0.472 (0.466) Data 0.000 (0.003) Loss 2.6812 (2.5953) Prec@1 43.750 (42.626) Prec@5 66.406 (68.187)
Epoch: [10][2150/5005] Time 0.468 (0.466) Data 0.000 (0.003) Loss 2.6396 (2.5954) Prec@1 41.016 (42.629) Prec@5 64.844 (68.180)
Epoch: [10][2160/5005] Time 0.476 (0.466) Data 0.000 (0.003) Loss 2.6296 (2.5952) Prec@1 41.406 (42.628) Prec@5 69.141 (68.189)
Epoch: [10][2170/5005] Time 0.475 (0.466) Data 0.000 (0.002) Loss 2.2910 (2.5950) Prec@1 45.312 (42.627) Prec@5 74.609 (68.190)
Epoch: [10][2180/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 2.6124 (2.5950) Prec@1 42.578 (42.629) Prec@5 68.750 (68.194)
Epoch: [10][2190/5005] Time 0.474 (0.466) Data 0.000 (0.002) Loss 2.6872 (2.5949) Prec@1 44.922 (42.636) Prec@5 69.531 (68.196)
Epoch: [10][2200/5005] Time 0.479 (0.466) Data 0.000 (0.002) Loss 2.4730 (2.5945) Prec@1 47.656 (42.647) Prec@5 69.922 (68.202)
Epoch: [10][2210/5005] Time 0.453 (0.466) Data 0.000 (0.002) Loss 2.5222 (2.5944) Prec@1 49.219 (42.651) Prec@5 70.703 (68.205)
Epoch: [10][2220/5005] Time 0.463 (0.466) Data 0.000 (0.002) Loss 2.8011 (2.5943) Prec@1 41.016 (42.653) Prec@5 66.406 (68.206)
Epoch: [10][2230/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 2.7362 (2.5939) Prec@1 41.016 (42.660) Prec@5 66.797 (68.215)
Epoch: [10][2240/5005] Time 0.465 (0.466) Data 0.000 (0.002) Loss 2.4848 (2.5935) Prec@1 42.969 (42.664) Prec@5 67.188 (68.225)
Epoch: [10][2250/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.5933 (2.5938) Prec@1 42.969 (42.661) Prec@5 67.578 (68.220)
Epoch: [10][2260/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 2.2420 (2.5935) Prec@1 43.750 (42.665) Prec@5 75.781 (68.223)
Epoch: [10][2270/5005] Time 0.462 (0.466) Data 0.000 (0.002) Loss 2.6101 (2.5938) Prec@1 45.312 (42.665) Prec@5 69.141 (68.216)
Epoch: [10][2280/5005] Time 0.461 (0.466) Data 0.000 (0.002) Loss 2.5613 (2.5936) Prec@1 47.656 (42.668) Prec@5 68.750 (68.226)
Epoch: [10][2290/5005] Time 0.476 (0.466) Data 0.000 (0.002) Loss 2.6207 (2.5932) Prec@1 44.531 (42.678) Prec@5 67.578 (68.236)
Epoch: [10][2300/5005] Time 0.460 (0.466) Data 0.000 (0.002) Loss 2.3419 (2.5931) Prec@1 43.750 (42.681) Prec@5 73.828 (68.238)
Epoch: [10][2310/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 2.6647 (2.5928) Prec@1 44.922 (42.692) Prec@5 66.016 (68.240)
Epoch: [10][2320/5005] Time 0.475 (0.466) Data 0.000 (0.002) Loss 2.7786 (2.5932) Prec@1 37.891 (42.683) Prec@5 66.797 (68.236)
Epoch: [10][2330/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 2.6806 (2.5933) Prec@1 38.281 (42.685) Prec@5 67.188 (68.234)
Epoch: [10][2340/5005] Time 0.456 (0.466) Data 0.000 (0.002) Loss 2.6144 (2.5932) Prec@1 46.094 (42.686) Prec@5 69.922 (68.237)
Epoch: [10][2350/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 2.5609 (2.5931) Prec@1 42.578 (42.682) Prec@5 67.969 (68.242)
Epoch: [10][2360/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 2.7837 (2.5934) Prec@1 40.625 (42.679) Prec@5 70.312 (68.241)
Epoch: [10][2370/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 2.5453 (2.5932) Prec@1 41.797 (42.681) Prec@5 68.750 (68.242)
Epoch: [10][2380/5005] Time 0.470 (0.466) Data 0.000 (0.002) Loss 2.6765 (2.5930) Prec@1 37.500 (42.687) Prec@5 66.016 (68.244)
Epoch: [10][2390/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.4824 (2.5927) Prec@1 40.234 (42.690) Prec@5 72.266 (68.252)
Epoch: [10][2400/5005] Time 0.463 (0.466) Data 0.000 (0.002) Loss 2.3745 (2.5926) Prec@1 45.703 (42.695) Prec@5 73.047 (68.255)
Epoch: [10][2410/5005] Time 0.475 (0.466) Data 0.000 (0.002) Loss 2.7804 (2.5926) Prec@1 41.797 (42.694) Prec@5 68.359 (68.256)
Epoch: [10][2420/5005] Time 0.451 (0.466) Data 0.000 (0.002) Loss 2.6171 (2.5925) Prec@1 39.062 (42.688) Prec@5 68.359 (68.255)
Epoch: [10][2430/5005] Time 0.439 (0.466) Data 0.000 (0.002) Loss 2.3804 (2.5924) Prec@1 48.438 (42.693) Prec@5 68.359 (68.256)
Epoch: [10][2440/5005] Time 0.477 (0.466) Data 0.000 (0.002) Loss 2.2016 (2.5923) Prec@1 48.438 (42.695) Prec@5 71.875 (68.255)
Epoch: [10][2450/5005] Time 0.475 (0.466) Data 0.000 (0.002) Loss 2.5186 (2.5922) Prec@1 45.312 (42.696) Prec@5 71.094 (68.261)
Epoch: [10][2460/5005] Time 0.473 (0.466) Data 0.000 (0.002) Loss 2.6759 (2.5921) Prec@1 39.062 (42.693) Prec@5 65.625 (68.260)
Epoch: [10][2470/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 2.4889 (2.5920) Prec@1 45.703 (42.692) Prec@5 69.922 (68.260)
Epoch: [10][2480/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 2.7348 (2.5922) Prec@1 40.234 (42.690) Prec@5 64.453 (68.258)
Epoch: [10][2490/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 2.5058 (2.5921) Prec@1 44.531 (42.694) Prec@5 68.359 (68.262)
Epoch: [10][2500/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 2.7483 (2.5920) Prec@1 41.016 (42.690) Prec@5 67.969 (68.263)
Epoch: [10][2510/5005] Time 0.457 (0.466) Data 0.000 (0.002) Loss 2.6651 (2.5917) Prec@1 39.062 (42.695) Prec@5 64.844 (68.269)
Epoch: [10][2520/5005] Time 0.475 (0.466) Data 0.000 (0.002) Loss 2.6501 (2.5919) Prec@1 42.578 (42.692) Prec@5 69.141 (68.266)
Epoch: [10][2530/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 2.6780 (2.5919) Prec@1 42.188 (42.694) Prec@5 67.578 (68.264)
Epoch: [10][2540/5005] Time 0.463 (0.466) Data 0.000 (0.002) Loss 2.7051 (2.5918) Prec@1 44.141 (42.700) Prec@5 66.797 (68.266)
Epoch: [10][2550/5005] Time 0.452 (0.466) Data 0.000 (0.002) Loss 2.6061 (2.5916) Prec@1 43.359 (42.704) Prec@5 69.531 (68.267)
Epoch: [10][2560/5005] Time 0.468 (0.466) Data 0.000 (0.002) Loss 2.5417 (2.5915) Prec@1 41.406 (42.707) Prec@5 69.922 (68.267)
Epoch: [10][2570/5005] Time 0.460 (0.466) Data 0.000 (0.002) Loss 2.7331 (2.5915) Prec@1 40.625 (42.709) Prec@5 64.062 (68.267)
Epoch: [10][2580/5005] Time 0.464 (0.466) Data 0.000 (0.002) Loss 2.3766 (2.5914) Prec@1 49.609 (42.708) Prec@5 71.484 (68.269)
Epoch: [10][2590/5005] Time 0.456 (0.466) Data 0.000 (0.002) Loss 2.3857 (2.5917) Prec@1 48.438 (42.703) Prec@5 73.047 (68.266)
Epoch: [10][2600/5005] Time 0.459 (0.466) Data 0.000 (0.002) Loss 2.5012 (2.5917) Prec@1 42.188 (42.703) Prec@5 66.406 (68.260)
Epoch: [10][2610/5005] Time 0.462 (0.466) Data 0.000 (0.002) Loss 2.6973 (2.5916) Prec@1 43.750 (42.709) Prec@5 66.797 (68.263)
Epoch: [10][2620/5005] Time 0.472 (0.466) Data 0.000 (0.002) Loss 2.5032 (2.5917) Prec@1 43.750 (42.706) Prec@5 67.969 (68.263)
Epoch: [10][2630/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 2.5452 (2.5917) Prec@1 45.703 (42.706) Prec@5 69.141 (68.258)
Epoch: [10][2640/5005] Time 0.469 (0.466) Data 0.000 (0.002) Loss 2.6060 (2.5918) Prec@1 41.406 (42.703) Prec@5 69.141 (68.257)
Epoch: [10][2650/5005] Time 0.467 (0.466) Data 0.000 (0.002) Loss 2.5282 (2.5920) Prec@1 47.266 (42.702) Prec@5 69.141 (68.251)
Epoch: [10][2660/5005] Time 0.449 (0.466) Data 0.000 (0.002) Loss 2.5795 (2.5920) Prec@1 43.750 (42.702) Prec@5 67.188 (68.253)
Epoch: [10][2670/5005] Time 0.474 (0.466) Data 0.000 (0.002) Loss 2.4099 (2.5921) Prec@1 44.141 (42.694) Prec@5 69.531 (68.250)
Epoch: [10][2680/5005] Time 0.454 (0.466) Data 0.000 (0.002) Loss 2.4967 (2.5921) Prec@1 45.312 (42.693) Prec@5 66.016 (68.246)
Epoch: [10][2690/5005] Time 0.449 (0.466) Data 0.000 (0.002) Loss 2.5034 (2.5920) Prec@1 44.531 (42.696) Prec@5 71.094 (68.249)
Epoch: [10][2700/5005] Time 0.458 (0.466) Data 0.000 (0.002) Loss 2.4277 (2.5919) Prec@1 48.438 (42.700) Prec@5 70.312 (68.250)
Epoch: [10][2710/5005] Time 0.465 (0.466) Data 0.000 (0.002) Loss 2.7204 (2.5919) Prec@1 42.578 (42.700) Prec@5 66.797 (68.249)
Epoch: [10][2720/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.7236 (2.5920) Prec@1 43.750 (42.701) Prec@5 65.625 (68.246)
Epoch: [10][2730/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.4661 (2.5919) Prec@1 41.797 (42.707) Prec@5 68.359 (68.250)
Epoch: [10][2740/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.6620 (2.5917) Prec@1 42.578 (42.712) Prec@5 66.406 (68.253)
Epoch: [10][2750/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.1985 (2.5916) Prec@1 48.047 (42.713) Prec@5 76.562 (68.254)
Epoch: [10][2760/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.5715 (2.5917) Prec@1 42.969 (42.716) Prec@5 71.094 (68.256)
Epoch: [10][2770/5005] Time 0.448 (0.465) Data 0.000 (0.002) Loss 2.3213 (2.5915) Prec@1 42.578 (42.719) Prec@5 73.438 (68.258)
Epoch: [10][2780/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.4006 (2.5913) Prec@1 44.922 (42.726) Prec@5 69.922 (68.265)
Epoch: [10][2790/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.8350 (2.5912) Prec@1 38.281 (42.726) Prec@5 63.672 (68.265)
Epoch: [10][2800/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.6461 (2.5913) Prec@1 41.797 (42.721) Prec@5 67.578 (68.264)
Epoch: [10][2810/5005] Time 0.452 (0.465) Data 0.000 (0.002) Loss 2.6083 (2.5910) Prec@1 46.094 (42.724) Prec@5 69.531 (68.268)
Epoch: [10][2820/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.5442 (2.5909) Prec@1 41.406 (42.725) Prec@5 67.969 (68.271)
Epoch: [10][2830/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.6956 (2.5911) Prec@1 39.453 (42.720) Prec@5 67.578 (68.269)
Epoch: [10][2840/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.4614 (2.5911) Prec@1 43.359 (42.722) Prec@5 68.359 (68.267)
Epoch: [10][2850/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.6844 (2.5909) Prec@1 40.625 (42.722) Prec@5 66.797 (68.271)
Epoch: [10][2860/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.7202 (2.5909) Prec@1 41.406 (42.721) Prec@5 64.453 (68.270)
Epoch: [10][2870/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.2888 (2.5906) Prec@1 46.094 (42.726) Prec@5 73.047 (68.275)
Epoch: [10][2880/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.4930 (2.5907) Prec@1 45.312 (42.727) Prec@5 70.703 (68.274)
Epoch: [10][2890/5005] Time 0.480 (0.465) Data 0.000 (0.002) Loss 2.5812 (2.5908) Prec@1 40.234 (42.724) Prec@5 69.922 (68.271)
Epoch: [10][2900/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.5884 (2.5906) Prec@1 44.141 (42.728) Prec@5 67.188 (68.274)
Epoch: [10][2910/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.6811 (2.5906) Prec@1 41.406 (42.727) Prec@5 65.234 (68.273)
Epoch: [10][2920/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.5719 (2.5906) Prec@1 42.188 (42.726) Prec@5 71.094 (68.276)
Epoch: [10][2930/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.3638 (2.5906) Prec@1 42.969 (42.720) Prec@5 73.047 (68.277)
Epoch: [10][2940/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.2459 (2.5900) Prec@1 48.047 (42.730) Prec@5 76.953 (68.291)
Epoch: [10][2950/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.7649 (2.5900) Prec@1 38.281 (42.726) Prec@5 63.281 (68.292)
Epoch: [10][2960/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.3822 (2.5901) Prec@1 46.484 (42.724) Prec@5 69.922 (68.289)
Epoch: [10][2970/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.9053 (2.5900) Prec@1 39.453 (42.726) Prec@5 63.672 (68.295)
Epoch: [10][2980/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.5814 (2.5899) Prec@1 41.406 (42.729) Prec@5 70.312 (68.301)
Epoch: [10][2990/5005] Time 0.471 (0.465) Data 0.000 (0.002) Loss 2.4746 (2.5900) Prec@1 45.703 (42.726) Prec@5 74.219 (68.303)
Epoch: [10][3000/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.8537 (2.5896) Prec@1 39.453 (42.731) Prec@5 63.672 (68.309)
Epoch: [10][3010/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.5003 (2.5899) Prec@1 43.359 (42.727) Prec@5 68.750 (68.303)
Epoch: [10][3020/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.5738 (2.5900) Prec@1 41.797 (42.726) Prec@5 67.969 (68.298)
Epoch: [10][3030/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.5008 (2.5902) Prec@1 45.312 (42.727) Prec@5 71.094 (68.295)
Epoch: [10][3040/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.5705 (2.5902) Prec@1 48.828 (42.727) Prec@5 69.531 (68.295)
Epoch: [10][3050/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.4698 (2.5900) Prec@1 44.531 (42.730) Prec@5 71.094 (68.299)
Epoch: [10][3060/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.8376 (2.5901) Prec@1 40.625 (42.729) Prec@5 67.578 (68.300)
Epoch: [10][3070/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.8091 (2.5901) Prec@1 40.625 (42.734) Prec@5 64.844 (68.300)
Epoch: [10][3080/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.7607 (2.5902) Prec@1 41.016 (42.737) Prec@5 66.406 (68.299)
Epoch: [10][3090/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.4736 (2.5900) Prec@1 45.703 (42.739) Prec@5 67.578 (68.300)
Epoch: [10][3100/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.5685 (2.5899) Prec@1 39.844 (42.742) Prec@5 70.312 (68.306)
Epoch: [10][3110/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.7137 (2.5901) Prec@1 38.281 (42.737) Prec@5 67.578 (68.304)
Epoch: [10][3120/5005] Time 0.471 (0.465) Data 0.001 (0.002) Loss 2.4860 (2.5902) Prec@1 46.875 (42.737) Prec@5 69.531 (68.302)
Epoch: [10][3130/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.7386 (2.5900) Prec@1 41.016 (42.738) Prec@5 67.578 (68.306)
Epoch: [10][3140/5005] Time 0.482 (0.465) Data 0.000 (0.002) Loss 2.6965 (2.5899) Prec@1 45.703 (42.741) Prec@5 68.359 (68.310)
Epoch: [10][3150/5005] Time 0.447 (0.465) Data 0.000 (0.002) Loss 2.7310 (2.5898) Prec@1 42.969 (42.745) Prec@5 66.016 (68.311)
Epoch: [10][3160/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.4898 (2.5898) Prec@1 44.531 (42.743) Prec@5 69.922 (68.310)
Epoch: [10][3170/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.4964 (2.5898) Prec@1 46.875 (42.743) Prec@5 69.141 (68.312)
Epoch: [10][3180/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.6448 (2.5897) Prec@1 43.750 (42.748) Prec@5 64.453 (68.312)
Epoch: [10][3190/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.7751 (2.5899) Prec@1 39.453 (42.745) Prec@5 66.016 (68.311)
Epoch: [10][3200/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.2977 (2.5899) Prec@1 48.828 (42.746) Prec@5 74.219 (68.311)
Epoch: [10][3210/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.6704 (2.5899) Prec@1 42.578 (42.745) Prec@5 65.625 (68.311)
Epoch: [10][3220/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.5520 (2.5900) Prec@1 47.656 (42.747) Prec@5 66.016 (68.307)
Epoch: [10][3230/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.3454 (2.5899) Prec@1 45.312 (42.751) Prec@5 75.000 (68.310)
Epoch: [10][3240/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.6874 (2.5900) Prec@1 41.797 (42.753) Prec@5 66.797 (68.310)
Epoch: [10][3250/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.6553 (2.5899) Prec@1 45.703 (42.749) Prec@5 65.625 (68.310)
Epoch: [10][3260/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.7174 (2.5902) Prec@1 42.969 (42.746) Prec@5 69.141 (68.308)
Epoch: [10][3270/5005] Time 0.478 (0.465) Data 0.000 (0.002) Loss 2.5251 (2.5902) Prec@1 46.094 (42.746) Prec@5 68.750 (68.311)
Epoch: [10][3280/5005] Time 0.448 (0.465) Data 0.000 (0.002) Loss 2.5877 (2.5901) Prec@1 41.797 (42.748) Prec@5 67.578 (68.309)
Epoch: [10][3290/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.5893 (2.5901) Prec@1 44.531 (42.749) Prec@5 68.359 (68.309)
Epoch: [10][3300/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.4819 (2.5899) Prec@1 43.359 (42.752) Prec@5 68.750 (68.313)
Epoch: [10][3310/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.4932 (2.5899) Prec@1 42.969 (42.751) Prec@5 68.359 (68.311)
Epoch: [10][3320/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.8902 (2.5901) Prec@1 39.844 (42.748) Prec@5 61.328 (68.307)
Epoch: [10][3330/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.4972 (2.5901) Prec@1 42.188 (42.751) Prec@5 70.703 (68.308)
Epoch: [10][3340/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.8053 (2.5900) Prec@1 40.234 (42.752) Prec@5 64.453 (68.308)
Epoch: [10][3350/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.5710 (2.5901) Prec@1 44.141 (42.748) Prec@5 68.750 (68.308)
Epoch: [10][3360/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.6645 (2.5898) Prec@1 43.359 (42.751) Prec@5 68.359 (68.312)
Epoch: [10][3370/5005] Time 0.479 (0.465) Data 0.000 (0.002) Loss 2.4053 (2.5897) Prec@1 46.484 (42.756) Prec@5 72.656 (68.314)
Epoch: [10][3380/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.5371 (2.5898) Prec@1 39.844 (42.754) Prec@5 67.969 (68.310)
Epoch: [10][3390/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.5613 (2.5899) Prec@1 41.797 (42.754) Prec@5 65.625 (68.309)
Epoch: [10][3400/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.4707 (2.5897) Prec@1 47.266 (42.757) Prec@5 68.359 (68.311)
Epoch: [10][3410/5005] Time 0.480 (0.465) Data 0.000 (0.002) Loss 2.7541 (2.5899) Prec@1 41.016 (42.757) Prec@5 66.016 (68.310)
Epoch: [10][3420/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.5112 (2.5900) Prec@1 43.750 (42.752) Prec@5 72.266 (68.312)
Epoch: [10][3430/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.7246 (2.5900) Prec@1 39.062 (42.754) Prec@5 66.016 (68.311)
Epoch: [10][3440/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.4895 (2.5902) Prec@1 47.656 (42.754) Prec@5 71.484 (68.307)
Epoch: [10][3450/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.6494 (2.5899) Prec@1 39.062 (42.765) Prec@5 67.969 (68.311)
Epoch: [10][3460/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.7329 (2.5901) Prec@1 40.625 (42.764) Prec@5 67.578 (68.308)
Epoch: [10][3470/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.8701 (2.5902) Prec@1 36.719 (42.761) Prec@5 63.672 (68.309)
Epoch: [10][3480/5005] Time 0.459 (0.465) Data 0.000 (0.002) Loss 2.5197 (2.5903) Prec@1 44.922 (42.758) Prec@5 70.312 (68.308)
Epoch: [10][3490/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.6713 (2.5902) Prec@1 44.531 (42.757) Prec@5 67.578 (68.311)
Epoch: [10][3500/5005] Time 0.480 (0.465) Data 0.000 (0.002) Loss 2.7759 (2.5905) Prec@1 35.156 (42.757) Prec@5 64.453 (68.306)
Epoch: [10][3510/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.5075 (2.5905) Prec@1 49.219 (42.762) Prec@5 71.484 (68.307)
Epoch: [10][3520/5005] Time 0.467 (0.465) Data 0.000 (0.002) Loss 2.6153 (2.5904) Prec@1 42.969 (42.766) Prec@5 69.531 (68.309)
Epoch: [10][3530/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.5537 (2.5905) Prec@1 44.922 (42.767) Prec@5 70.312 (68.308)
Epoch: [10][3540/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.5054 (2.5906) Prec@1 44.531 (42.765) Prec@5 68.359 (68.305)
Epoch: [10][3550/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.6982 (2.5906) Prec@1 42.578 (42.763) Prec@5 67.969 (68.303)
Epoch: [10][3560/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.7500 (2.5908) Prec@1 41.016 (42.762) Prec@5 62.109 (68.295)
Epoch: [10][3570/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.4829 (2.5909) Prec@1 46.094 (42.762) Prec@5 71.094 (68.292)
Epoch: [10][3580/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.4874 (2.5908) Prec@1 42.188 (42.763) Prec@5 71.484 (68.295)
Epoch: [10][3590/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.4172 (2.5907) Prec@1 48.438 (42.766) Prec@5 70.703 (68.294)
Epoch: [10][3600/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.5469 (2.5905) Prec@1 42.188 (42.765) Prec@5 67.578 (68.299)
Epoch: [10][3610/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.6092 (2.5903) Prec@1 42.578 (42.765) Prec@5 70.312 (68.302)
Epoch: [10][3620/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.5992 (2.5902) Prec@1 42.578 (42.766) Prec@5 64.453 (68.303)
Epoch: [10][3630/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.5801 (2.5900) Prec@1 40.625 (42.770) Prec@5 67.969 (68.306)
Epoch: [10][3640/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.5636 (2.5899) Prec@1 44.922 (42.771) Prec@5 68.359 (68.310)
Epoch: [10][3650/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.4084 (2.5899) Prec@1 42.578 (42.772) Prec@5 71.875 (68.309)
Epoch: [10][3660/5005] Time 0.454 (0.465) Data 0.000 (0.002) Loss 2.6808 (2.5898) Prec@1 40.625 (42.773) Prec@5 67.578 (68.314)
Epoch: [10][3670/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.6388 (2.5898) Prec@1 43.750 (42.775) Prec@5 66.406 (68.312)
Epoch: [10][3680/5005] Time 0.480 (0.465) Data 0.000 (0.002) Loss 2.7829 (2.5897) Prec@1 38.281 (42.777) Prec@5 64.062 (68.312)
Epoch: [10][3690/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.8142 (2.5899) Prec@1 44.141 (42.776) Prec@5 66.797 (68.309)
Epoch: [10][3700/5005] Time 0.472 (0.465) Data 0.000 (0.002) Loss 2.7636 (2.5900) Prec@1 39.062 (42.773) Prec@5 63.672 (68.309)
Epoch: [10][3710/5005] Time 0.477 (0.465) Data 0.000 (0.002) Loss 2.5691 (2.5902) Prec@1 42.188 (42.772) Prec@5 69.141 (68.307)
Epoch: [10][3720/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.5387 (2.5902) Prec@1 39.844 (42.772) Prec@5 65.234 (68.308)
Epoch: [10][3730/5005] Time 0.478 (0.465) Data 0.000 (0.002) Loss 2.4709 (2.5905) Prec@1 39.844 (42.767) Prec@5 69.531 (68.303)
Epoch: [10][3740/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.4905 (2.5902) Prec@1 47.266 (42.775) Prec@5 70.312 (68.307)
Epoch: [10][3750/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.7803 (2.5903) Prec@1 38.281 (42.775) Prec@5 64.062 (68.305)
Epoch: [10][3760/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.8661 (2.5905) Prec@1 40.625 (42.773) Prec@5 64.453 (68.303)
Epoch: [10][3770/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.7308 (2.5905) Prec@1 42.969 (42.772) Prec@5 61.719 (68.299)
Epoch: [10][3780/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.3595 (2.5903) Prec@1 43.750 (42.777) Prec@5 72.656 (68.303)
Epoch: [10][3790/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.5119 (2.5903) Prec@1 42.188 (42.774) Prec@5 68.359 (68.301)
Epoch: [10][3800/5005] Time 0.463 (0.465) Data 0.000 (0.002) Loss 2.6217 (2.5904) Prec@1 40.234 (42.775) Prec@5 69.922 (68.305)
Epoch: [10][3810/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.6149 (2.5904) Prec@1 43.359 (42.778) Prec@5 67.578 (68.304)
Epoch: [10][3820/5005] Time 0.474 (0.465) Data 0.000 (0.002) Loss 2.7185 (2.5902) Prec@1 40.625 (42.779) Prec@5 67.578 (68.306)
Epoch: [10][3830/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.5750 (2.5904) Prec@1 47.656 (42.777) Prec@5 66.797 (68.304)
Epoch: [10][3840/5005] Time 0.473 (0.465) Data 0.000 (0.002) Loss 2.5208 (2.5905) Prec@1 46.484 (42.775) Prec@5 69.531 (68.302)
Epoch: [10][3850/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.7604 (2.5904) Prec@1 42.188 (42.777) Prec@5 67.188 (68.304)
Epoch: [10][3860/5005] Time 0.453 (0.465) Data 0.000 (0.002) Loss 2.3773 (2.5903) Prec@1 47.656 (42.779) Prec@5 73.047 (68.308)
Epoch: [10][3870/5005] Time 0.474 (0.465) Data 0.001 (0.002) Loss 2.7000 (2.5901) Prec@1 42.578 (42.783) Prec@5 68.359 (68.313)
Epoch: [10][3880/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.7694 (2.5901) Prec@1 39.844 (42.783) Prec@5 68.359 (68.315)
Epoch: [10][3890/5005] Time 0.469 (0.465) Data 0.000 (0.002) Loss 2.5892 (2.5901) Prec@1 44.141 (42.787) Prec@5 69.922 (68.314)
Epoch: [10][3900/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.4658 (2.5900) Prec@1 48.828 (42.787) Prec@5 68.750 (68.312)
Epoch: [10][3910/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.3766 (2.5901) Prec@1 47.266 (42.787) Prec@5 74.609 (68.310)
Epoch: [10][3920/5005] Time 0.456 (0.465) Data 0.000 (0.002) Loss 2.7049 (2.5901) Prec@1 43.359 (42.788) Prec@5 66.797 (68.311)
Epoch: [10][3930/5005] Time 0.466 (0.465) Data 0.000 (0.002) Loss 2.6810 (2.5899) Prec@1 42.969 (42.790) Prec@5 68.359 (68.316)
Epoch: [10][3940/5005] Time 0.481 (0.465) Data 0.000 (0.002) Loss 2.6357 (2.5897) Prec@1 39.844 (42.797) Prec@5 67.969 (68.318)
Epoch: [10][3950/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.4408 (2.5895) Prec@1 46.875 (42.801) Prec@5 68.750 (68.322)
Epoch: [10][3960/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.4409 (2.5897) Prec@1 44.531 (42.802) Prec@5 69.531 (68.319)
Epoch: [10][3970/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.4414 (2.5897) Prec@1 44.922 (42.802) Prec@5 70.703 (68.319)
Epoch: [10][3980/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.6417 (2.5896) Prec@1 41.016 (42.803) Prec@5 68.750 (68.319)
Epoch: [10][3990/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.8083 (2.5897) Prec@1 42.969 (42.803) Prec@5 66.016 (68.318)
Epoch: [10][4000/5005] Time 0.455 (0.465) Data 0.000 (0.002) Loss 2.6392 (2.5895) Prec@1 42.969 (42.806) Prec@5 67.969 (68.321)
Epoch: [10][4010/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.6504 (2.5895) Prec@1 44.141 (42.808) Prec@5 67.188 (68.323)
Epoch: [10][4020/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.3955 (2.5894) Prec@1 46.484 (42.811) Prec@5 71.484 (68.323)
Epoch: [10][4030/5005] Time 0.464 (0.465) Data 0.000 (0.002) Loss 2.4069 (2.5892) Prec@1 45.703 (42.816) Prec@5 68.359 (68.324)
Epoch: [10][4040/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.4242 (2.5891) Prec@1 44.922 (42.818) Prec@5 69.922 (68.325)
Epoch: [10][4050/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.5302 (2.5891) Prec@1 43.750 (42.820) Prec@5 67.188 (68.325)
Epoch: [10][4060/5005] Time 0.461 (0.465) Data 0.000 (0.002) Loss 2.4355 (2.5890) Prec@1 44.531 (42.820) Prec@5 69.922 (68.325)
Epoch: [10][4070/5005] Time 0.475 (0.465) Data 0.000 (0.002) Loss 2.6115 (2.5887) Prec@1 42.578 (42.824) Prec@5 68.359 (68.328)
Epoch: [10][4080/5005] Time 0.468 (0.465) Data 0.000 (0.002) Loss 2.8002 (2.5885) Prec@1 40.234 (42.828) Prec@5 66.406 (68.332)
Epoch: [10][4090/5005] Time 0.476 (0.465) Data 0.000 (0.002) Loss 2.7623 (2.5884) Prec@1 40.234 (42.828) Prec@5 66.016 (68.335)
Epoch: [10][4100/5005] Time 0.470 (0.465) Data 0.000 (0.002) Loss 2.6582 (2.5885) Prec@1 44.531 (42.824) Prec@5 69.922 (68.334)
Epoch: [10][4110/5005] Time 0.451 (0.465) Data 0.000 (0.002) Loss 2.4733 (2.5885) Prec@1 46.094 (42.826) Prec@5 71.484 (68.334)
Epoch: [10][4120/5005] Time 0.457 (0.465) Data 0.000 (0.002) Loss 2.4747 (2.5885) Prec@1 43.750 (42.826) Prec@5 68.359 (68.334)
Epoch: [10][4130/5005] Time 0.458 (0.465) Data 0.000 (0.002) Loss 2.3568 (2.5884) Prec@1 46.484 (42.832) Prec@5 71.484 (68.336)
Epoch: [10][4140/5005] Time 0.465 (0.465) Data 0.000 (0.002) Loss 2.5089 (2.5882) Prec@1 43.359 (42.835) Prec@5 69.141 (68.341)
Epoch: [10][4150/5005] Time 0.460 (0.465) Data 0.000 (0.002) Loss 2.3185 (2.5883) Prec@1 43.750 (42.830) Prec@5 72.656 (68.340)
Epoch: [10][4160/5005] Time 0.450 (0.465) Data 0.000 (0.002) Loss 2.8620 (2.5883) Prec@1 41.406 (42.830) Prec@5 61.328 (68.337)
Epoch: [10][4170/5005] Time 0.465 (0.465) Data 0.001 (0.002) Loss 2.4075 (2.5885) Prec@1 48.828 (42.826) Prec@5 74.609 (68.335)
Epoch: [10][4180/5005] Time 0.476 (0.465) Data 0.000 (0.001) Loss 2.4702 (2.5884) Prec@1 45.703 (42.828) Prec@5 67.969 (68.334)
Epoch: [10][4190/5005] Time 0.449 (0.465) Data 0.000 (0.001) Loss 2.8825 (2.5885) Prec@1 38.672 (42.828) Prec@5 61.328 (68.333)
Epoch: [10][4200/5005] Time 0.472 (0.465) Data 0.000 (0.001) Loss 2.7260 (2.5885) Prec@1 40.234 (42.827) Prec@5 69.141 (68.334)
Epoch: [10][4210/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.4078 (2.5884) Prec@1 47.656 (42.829) Prec@5 71.875 (68.334)
Epoch: [10][4220/5005] Time 0.475 (0.465) Data 0.000 (0.001) Loss 2.9434 (2.5885) Prec@1 28.125 (42.824) Prec@5 64.062 (68.334)
Epoch: [10][4230/5005] Time 0.454 (0.465) Data 0.000 (0.001) Loss 2.4211 (2.5884) Prec@1 45.703 (42.824) Prec@5 71.875 (68.336)
Epoch: [10][4240/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.4946 (2.5882) Prec@1 42.578 (42.829) Prec@5 68.750 (68.337)
Epoch: [10][4250/5005] Time 0.466 (0.465) Data 0.000 (0.001) Loss 2.3395 (2.5881) Prec@1 48.828 (42.830) Prec@5 69.141 (68.339)
Epoch: [10][4260/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 2.7310 (2.5878) Prec@1 39.844 (42.836) Prec@5 64.453 (68.344)
Epoch: [10][4270/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.5160 (2.5879) Prec@1 46.875 (42.835) Prec@5 68.750 (68.341)
Epoch: [10][4280/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.6486 (2.5880) Prec@1 42.188 (42.835) Prec@5 68.750 (68.340)
Epoch: [10][4290/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 2.4623 (2.5877) Prec@1 39.844 (42.839) Prec@5 70.312 (68.343)
Epoch: [10][4300/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 2.6781 (2.5877) Prec@1 46.094 (42.837) Prec@5 66.797 (68.346)
Epoch: [10][4310/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.6843 (2.5876) Prec@1 44.141 (42.840) Prec@5 66.797 (68.345)
Epoch: [10][4320/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.5607 (2.5877) Prec@1 42.578 (42.841) Prec@5 68.359 (68.346)
Epoch: [10][4330/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.5592 (2.5878) Prec@1 42.188 (42.839) Prec@5 69.141 (68.345)
Epoch: [10][4340/5005] Time 0.454 (0.465) Data 0.000 (0.001) Loss 2.7224 (2.5877) Prec@1 41.016 (42.839) Prec@5 64.844 (68.347)
Epoch: [10][4350/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 2.5762 (2.5876) Prec@1 41.797 (42.841) Prec@5 70.703 (68.348)
Epoch: [10][4360/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.4421 (2.5877) Prec@1 47.656 (42.838) Prec@5 70.703 (68.346)
Epoch: [10][4370/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.5531 (2.5877) Prec@1 42.969 (42.838) Prec@5 69.531 (68.348)
Epoch: [10][4380/5005] Time 0.477 (0.465) Data 0.000 (0.001) Loss 2.6793 (2.5876) Prec@1 40.625 (42.838) Prec@5 66.797 (68.349)
Epoch: [10][4390/5005] Time 0.455 (0.465) Data 0.000 (0.001) Loss 2.6599 (2.5875) Prec@1 40.234 (42.837) Prec@5 67.578 (68.351)
Epoch: [10][4400/5005] Time 0.466 (0.465) Data 0.000 (0.001) Loss 2.4156 (2.5874) Prec@1 47.266 (42.840) Prec@5 69.531 (68.351)
Epoch: [10][4410/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 2.6351 (2.5873) Prec@1 41.797 (42.843) Prec@5 67.969 (68.352)
Epoch: [10][4420/5005] Time 0.457 (0.465) Data 0.000 (0.001) Loss 2.5046 (2.5872) Prec@1 41.797 (42.842) Prec@5 69.141 (68.354)
Epoch: [10][4430/5005] Time 0.472 (0.465) Data 0.000 (0.001) Loss 2.3386 (2.5867) Prec@1 46.094 (42.852) Prec@5 72.656 (68.363)
Epoch: [10][4440/5005] Time 0.454 (0.465) Data 0.000 (0.001) Loss 2.6704 (2.5866) Prec@1 44.141 (42.852) Prec@5 62.891 (68.363)
Epoch: [10][4450/5005] Time 0.458 (0.465) Data 0.000 (0.001) Loss 3.0592 (2.5867) Prec@1 37.109 (42.851) Prec@5 62.500 (68.363)
Epoch: [10][4460/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 2.8661 (2.5868) Prec@1 36.328 (42.849) Prec@5 63.672 (68.361)
Epoch: [10][4470/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 2.4381 (2.5866) Prec@1 43.359 (42.854) Prec@5 69.531 (68.364)
Epoch: [10][4480/5005] Time 0.448 (0.465) Data 0.000 (0.001) Loss 2.5385 (2.5867) Prec@1 44.531 (42.855) Prec@5 67.969 (68.362)
Epoch: [10][4490/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.7591 (2.5868) Prec@1 38.281 (42.854) Prec@5 65.625 (68.362)
Epoch: [10][4500/5005] Time 0.474 (0.465) Data 0.000 (0.001) Loss 2.5507 (2.5865) Prec@1 41.016 (42.859) Prec@5 66.406 (68.364)
Epoch: [10][4510/5005] Time 0.452 (0.465) Data 0.000 (0.001) Loss 2.8029 (2.5865) Prec@1 39.062 (42.860) Prec@5 67.188 (68.364)
Epoch: [10][4520/5005] Time 0.461 (0.465) Data 0.000 (0.001) Loss 2.8072 (2.5865) Prec@1 39.062 (42.860) Prec@5 62.109 (68.361)
Epoch: [10][4530/5005] Time 0.464 (0.465) Data 0.000 (0.001) Loss 2.4614 (2.5865) Prec@1 44.141 (42.860) Prec@5 70.312 (68.363)
Epoch: [10][4540/5005] Time 0.465 (0.465) Data 0.000 (0.001) Loss 2.6691 (2.5864) Prec@1 44.922 (42.861) Prec@5 67.578 (68.363)
Epoch: [10][4550/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.4341 (2.5864) Prec@1 46.094 (42.859) Prec@5 70.703 (68.365)
Epoch: [10][4560/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.6589 (2.5865) Prec@1 42.188 (42.858) Prec@5 67.969 (68.363)
Epoch: [10][4570/5005] Time 0.452 (0.465) Data 0.000 (0.001) Loss 2.5615 (2.5865) Prec@1 42.188 (42.856) Prec@5 66.797 (68.363)
Epoch: [10][4580/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.3702 (2.5864) Prec@1 48.438 (42.857) Prec@5 73.047 (68.366)
Epoch: [10][4590/5005] Time 0.449 (0.465) Data 0.000 (0.001) Loss 2.6057 (2.5864) Prec@1 40.625 (42.856) Prec@5 63.281 (68.364)
Epoch: [10][4600/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.3715 (2.5864) Prec@1 44.922 (42.856) Prec@5 72.656 (68.365)
Epoch: [10][4610/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.3746 (2.5864) Prec@1 46.484 (42.858) Prec@5 69.922 (68.366)
Epoch: [10][4620/5005] Time 0.465 (0.465) Data 0.000 (0.001) Loss 2.7610 (2.5864) Prec@1 42.969 (42.857) Prec@5 66.016 (68.366)
Epoch: [10][4630/5005] Time 0.460 (0.465) Data 0.000 (0.001) Loss 2.6924 (2.5864) Prec@1 39.453 (42.857) Prec@5 67.578 (68.369)
Epoch: [10][4640/5005] Time 0.472 (0.465) Data 0.001 (0.001) Loss 2.6341 (2.5864) Prec@1 44.141 (42.860) Prec@5 67.969 (68.369)
Epoch: [10][4650/5005] Time 0.468 (0.465) Data 0.001 (0.001) Loss 2.7306 (2.5864) Prec@1 42.578 (42.859) Prec@5 66.797 (68.368)
Epoch: [10][4660/5005] Time 0.448 (0.465) Data 0.000 (0.001) Loss 2.5442 (2.5863) Prec@1 41.016 (42.859) Prec@5 71.875 (68.371)
Epoch: [10][4670/5005] Time 0.447 (0.465) Data 0.000 (0.001) Loss 2.5832 (2.5863) Prec@1 43.359 (42.859) Prec@5 70.703 (68.370)
Epoch: [10][4680/5005] Time 0.458 (0.465) Data 0.000 (0.001) Loss 2.6569 (2.5863) Prec@1 41.797 (42.858) Prec@5 67.969 (68.368)
Epoch: [10][4690/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.6692 (2.5863) Prec@1 42.188 (42.859) Prec@5 65.234 (68.369)
Epoch: [10][4700/5005] Time 0.475 (0.465) Data 0.000 (0.001) Loss 2.4627 (2.5863) Prec@1 44.922 (42.857) Prec@5 70.312 (68.371)
Epoch: [10][4710/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.5270 (2.5861) Prec@1 42.578 (42.857) Prec@5 67.969 (68.373)
Epoch: [10][4720/5005] Time 0.483 (0.465) Data 0.001 (0.001) Loss 2.6163 (2.5862) Prec@1 41.406 (42.855) Prec@5 66.797 (68.372)
Epoch: [10][4730/5005] Time 0.483 (0.465) Data 0.000 (0.001) Loss 2.2723 (2.5861) Prec@1 46.484 (42.857) Prec@5 74.219 (68.375)
Epoch: [10][4740/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.7738 (2.5861) Prec@1 40.234 (42.855) Prec@5 63.281 (68.375)
Epoch: [10][4750/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.7272 (2.5861) Prec@1 39.062 (42.856) Prec@5 62.891 (68.374)
Epoch: [10][4760/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.7970 (2.5861) Prec@1 36.328 (42.856) Prec@5 66.406 (68.373)
Epoch: [10][4770/5005] Time 0.469 (0.465) Data 0.000 (0.001) Loss 2.6209 (2.5860) Prec@1 43.359 (42.855) Prec@5 70.312 (68.373)
Epoch: [10][4780/5005] Time 0.458 (0.465) Data 0.000 (0.001) Loss 2.4648 (2.5861) Prec@1 44.531 (42.855) Prec@5 69.531 (68.372)
Epoch: [10][4790/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.6558 (2.5860) Prec@1 41.797 (42.856) Prec@5 69.922 (68.375)
Epoch: [10][4800/5005] Time 0.469 (0.465) Data 0.001 (0.001) Loss 2.3648 (2.5860) Prec@1 43.359 (42.856) Prec@5 72.266 (68.373)
Epoch: [10][4810/5005] Time 0.445 (0.465) Data 0.000 (0.001) Loss 2.4261 (2.5860) Prec@1 41.016 (42.856) Prec@5 72.656 (68.373)
Epoch: [10][4820/5005] Time 0.467 (0.465) Data 0.000 (0.001) Loss 2.5536 (2.5860) Prec@1 44.141 (42.856) Prec@5 67.969 (68.375)
Epoch: [10][4830/5005] Time 0.458 (0.465) Data 0.000 (0.001) Loss 2.4286 (2.5859) Prec@1 51.953 (42.860) Prec@5 69.141 (68.376)
Epoch: [10][4840/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 2.6709 (2.5858) Prec@1 39.453 (42.861) Prec@5 69.922 (68.378)
Epoch: [10][4850/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.7407 (2.5859) Prec@1 39.453 (42.860) Prec@5 64.844 (68.377)
Epoch: [10][4860/5005] Time 0.472 (0.465) Data 0.000 (0.001) Loss 2.7657 (2.5859) Prec@1 35.938 (42.858) Prec@5 62.109 (68.379)
Epoch: [10][4870/5005] Time 0.455 (0.465) Data 0.000 (0.001) Loss 2.4764 (2.5858) Prec@1 46.875 (42.861) Prec@5 72.266 (68.380)
Epoch: [10][4880/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 2.5117 (2.5858) Prec@1 46.484 (42.863) Prec@5 73.047 (68.384)
Epoch: [10][4890/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.5558 (2.5855) Prec@1 38.281 (42.869) Prec@5 69.141 (68.391)
Epoch: [10][4900/5005] Time 0.470 (0.465) Data 0.000 (0.001) Loss 2.4532 (2.5853) Prec@1 45.312 (42.872) Prec@5 69.141 (68.394)
Epoch: [10][4910/5005] Time 0.479 (0.465) Data 0.000 (0.001) Loss 2.7362 (2.5853) Prec@1 42.578 (42.873) Prec@5 67.969 (68.395)
Epoch: [10][4920/5005] Time 0.471 (0.465) Data 0.000 (0.001) Loss 2.6071 (2.5852) Prec@1 44.531 (42.873) Prec@5 65.625 (68.395)
Epoch: [10][4930/5005] Time 0.455 (0.465) Data 0.000 (0.001) Loss 2.7070 (2.5851) Prec@1 41.797 (42.872) Prec@5 66.797 (68.395)
Epoch: [10][4940/5005] Time 0.468 (0.465) Data 0.000 (0.001) Loss 2.2850 (2.5851) Prec@1 51.172 (42.873) Prec@5 73.828 (68.397)
Epoch: [10][4950/5005] Time 0.450 (0.465) Data 0.000 (0.001) Loss 2.6169 (2.5850) Prec@1 42.578 (42.875) Prec@5 68.359 (68.399)
Epoch: [10][4960/5005] Time 0.473 (0.465) Data 0.000 (0.001) Loss 2.6176 (2.5851) Prec@1 41.797 (42.874) Prec@5 66.797 (68.397)
Epoch: [10][4970/5005] Time 0.465 (0.465) Data 0.000 (0.001) Loss 2.6292 (2.5852) Prec@1 39.844 (42.871) Prec@5 67.969 (68.393)
Epoch: [10][4980/5005] Time 0.456 (0.465) Data 0.000 (0.001) Loss 2.2488 (2.5851) Prec@1 49.609 (42.873) Prec@5 74.219 (68.394)
Epoch: [10][4990/5005] Time 0.451 (0.465) Data 0.000 (0.001) Loss 2.7224 (2.5851) Prec@1 39.844 (42.873) Prec@5 65.625 (68.393)
Epoch: [10][5000/5005] Time 0.453 (0.465) Data 0.000 (0.001) Loss 2.6434 (2.5851) Prec@1 39.844 (42.872) Prec@5 67.578 (68.393)
Test: [0/196] Time 5.123 (5.123) Loss 1.3804 (1.3804) Prec@1 68.750 (68.750) Prec@5 87.500 (87.500)
Test: [10/196] Time 0.162 (0.603) Loss 1.8674 (1.5698) Prec@1 49.219 (62.358) Prec@5 82.812 (84.091)
Test: [20/196] Time 0.151 (0.402) Loss 1.6801 (1.5184) Prec@1 65.234 (64.025) Prec@5 81.641 (84.747)
Test: [30/196] Time 0.151 (0.321) Loss 1.5812 (1.5211) Prec@1 57.422 (63.659) Prec@5 84.766 (84.728)
Test: [40/196] Time 0.149 (0.279) Loss 1.7665 (1.5993) Prec@1 50.391 (60.109) Prec@5 84.766 (84.461)
Test: [50/196] Time 0.149 (0.255) Loss 1.1890 (1.5638) Prec@1 66.406 (60.110) Prec@5 92.188 (85.532)
Test: [60/196] Time 0.149 (0.239) Loss 1.8900 (1.5655) Prec@1 51.562 (59.945) Prec@5 82.812 (85.649)
Test: [70/196] Time 0.154 (0.226) Loss 1.5003 (1.5535) Prec@1 62.891 (60.442) Prec@5 83.984 (85.668)
Test: [80/196] Time 0.148 (0.217) Loss 2.6158 (1.5819) Prec@1 44.922 (60.074) Prec@5 70.703 (85.113)
Test: [90/196] Time 0.151 (0.210) Loss 3.3523 (1.6839) Prec@1 26.953 (58.182) Prec@5 59.766 (83.585)
Test: [100/196] Time 0.150 (0.204) Loss 3.0132 (1.7626) Prec@1 27.344 (56.741) Prec@5 62.500 (82.352)
Test: [110/196] Time 0.150 (0.200) Loss 1.6591 (1.7893) Prec@1 64.062 (56.567) Prec@5 81.641 (81.810)
Test: [120/196] Time 0.152 (0.196) Loss 2.6419 (1.8232) Prec@1 42.969 (56.208) Prec@5 67.188 (81.160)
Test: [130/196] Time 0.153 (0.192) Loss 1.9385 (1.8653) Prec@1 54.688 (55.281) Prec@5 76.953 (80.558)
Test: [140/196] Time 0.148 (0.190) Loss 2.2792 (1.9032) Prec@1 51.562 (54.646) Prec@5 75.391 (79.945)
Test: [150/196] Time 0.149 (0.187) Loss 2.1187 (1.9416) Prec@1 60.547 (54.136) Prec@5 75.391 (79.266)
Test: [160/196] Time 0.153 (0.185) Loss 1.8625 (1.9653) Prec@1 59.375 (53.751) Prec@5 79.688 (78.863)
Test: [170/196] Time 0.148 (0.183) Loss 1.6417 (1.9944) Prec@1 53.516 (53.194) Prec@5 83.984 (78.385)
Test: [180/196] Time 0.148 (0.181) Loss 1.7596 (2.0079) Prec@1 56.641 (53.008) Prec@5 84.375 (78.224)
Test: [190/196] Time 0.149 (0.180) Loss 1.9165 (2.0020) Prec@1 46.875 (53.105) Prec@5 84.766 (78.315)
* Prec@1 53.400 Prec@5 78.464
Epoch: [11][0/5005] Time 5.196 (5.196) Data 5.011 (5.011) Loss 2.5829 (2.5829) Prec@1 43.359 (43.359) Prec@5 67.578 (67.578)
Epoch: [11][10/5005] Time 0.442 (0.890) Data 0.000 (0.456) Loss 2.3233 (2.6266) Prec@1 50.000 (42.152) Prec@5 73.047 (67.152)
Epoch: [11][20/5005] Time 0.441 (0.686) Data 0.000 (0.244) Loss 2.5720 (2.5918) Prec@1 44.922 (42.615) Prec@5 66.406 (68.322)
Epoch: [11][30/5005] Time 0.457 (0.612) Data 0.000 (0.166) Loss 2.4186 (2.5769) Prec@1 44.141 (43.284) Prec@5 71.484 (68.284)
Epoch: [11][40/5005] Time 0.462 (0.575) Data 0.000 (0.125) Loss 2.4899 (2.5486) Prec@1 42.188 (43.874) Prec@5 70.312 (68.779)
Epoch: [11][50/5005] Time 0.462 (0.552) Data 0.000 (0.101) Loss 2.4786 (2.5506) Prec@1 44.531 (43.696) Prec@5 69.141 (68.788)
Epoch: [11][60/5005] Time 0.462 (0.537) Data 0.000 (0.084) Loss 2.5562 (2.5369) Prec@1 46.484 (43.961) Prec@5 69.922 (69.102)
Epoch: [11][70/5005] Time 0.458 (0.526) Data 0.000 (0.073) Loss 2.5862 (2.5223) Prec@1 41.797 (44.102) Prec@5 66.797 (69.251)
Epoch: [11][80/5005] Time 0.460 (0.518) Data 0.000 (0.064) Loss 2.4897 (2.5279) Prec@1 45.703 (43.895) Prec@5 69.531 (69.223)
Epoch: [11][90/5005] Time 0.461 (0.512) Data 0.000 (0.057) Loss 2.4113 (2.5236) Prec@1 45.312 (44.059) Prec@5 70.312 (69.308)
Epoch: [11][100/5005] Time 0.461 (0.506) Data 0.000 (0.051) Loss 2.5008 (2.5232) Prec@1 46.094 (44.052) Prec@5 71.484 (69.338)
Epoch: [11][110/5005] Time 0.458 (0.502) Data 0.000 (0.047) Loss 2.5543 (2.5203) Prec@1 41.016 (44.063) Prec@5 70.312 (69.359)
Epoch: [11][120/5005] Time 0.460 (0.498) Data 0.000 (0.043) Loss 2.2900 (2.5145) Prec@1 43.750 (44.134) Prec@5 73.438 (69.460)
Epoch: [11][130/5005] Time 0.455 (0.495) Data 0.000 (0.039) Loss 2.7107 (2.5205) Prec@1 42.188 (44.021) Prec@5 68.750 (69.364)
Epoch: [11][140/5005] Time 0.457 (0.493) Data 0.000 (0.037) Loss 2.7792 (2.5263) Prec@1 36.719 (43.861) Prec@5 65.234 (69.204)
Epoch: [11][150/5005] Time 0.463 (0.491) Data 0.000 (0.034) Loss 2.3164 (2.5244) Prec@1 44.922 (43.900) Prec@5 71.094 (69.257)
Epoch: [11][160/5005] Time 0.459 (0.489) Data 0.000 (0.032) Loss 2.6905 (2.5283) Prec@1 42.969 (43.767) Prec@5 68.750 (69.221)
Epoch: [11][170/5005] Time 0.457 (0.487) Data 0.000 (0.030) Loss 2.7435 (2.5269) Prec@1 41.406 (43.814) Prec@5 68.750 (69.264)
Epoch: [11][180/5005] Time 0.459 (0.485) Data 0.000 (0.029) Loss 2.7304 (2.5276) Prec@1 38.672 (43.817) Prec@5 61.328 (69.264)
Epoch: [11][190/5005] Time 0.459 (0.484) Data 0.000 (0.027) Loss 2.6698 (2.5269) Prec@1 38.672 (43.844) Prec@5 71.484 (69.312)
Epoch: [11][200/5005] Time 0.460 (0.483) Data 0.001 (0.026) Loss 2.5068 (2.5267) Prec@1 44.922 (43.832) Prec@5 67.969 (69.347)
Epoch: [11][210/5005] Time 0.459 (0.482) Data 0.000 (0.025) Loss 2.5739 (2.5273) Prec@1 43.750 (43.833) Prec@5 66.797 (69.307)
Epoch: [11][220/5005] Time 0.459 (0.481) Data 0.000 (0.024) Loss 2.4479 (2.5281) Prec@1 46.484 (43.828) Prec@5 71.484 (69.268)
Epoch: [11][230/5005] Time 0.455 (0.480) Data 0.000 (0.023) Loss 2.2515 (2.5274) Prec@1 50.000 (43.906) Prec@5 75.781 (69.274)
Epoch: [11][240/5005] Time 0.458 (0.479) Data 0.000 (0.022) Loss 2.4572 (2.5238) Prec@1 46.094 (43.982) Prec@5 69.531 (69.314)
Epoch: [11][250/5005] Time 0.454 (0.478) Data 0.000 (0.021) Loss 2.3728 (2.5233) Prec@1 50.391 (44.074) Prec@5 70.312 (69.320)
Epoch: [11][260/5005] Time 0.460 (0.478) Data 0.000 (0.020) Loss 2.3097 (2.5238) Prec@1 47.266 (44.027) Prec@5 72.656 (69.287)
Epoch: [11][270/5005] Time 0.457 (0.477) Data 0.000 (0.019) Loss 2.7835 (2.5245) Prec@1 41.406 (44.021) Prec@5 67.188 (69.282)
Epoch: [11][280/5005] Time 0.458 (0.476) Data 0.000 (0.019) Loss 2.7932 (2.5277) Prec@1 36.719 (43.940) Prec@5 66.016 (69.243)
Epoch: [11][290/5005] Time 0.451 (0.476) Data 0.000 (0.018) Loss 2.6628 (2.5279) Prec@1 39.062 (43.900) Prec@5 65.625 (69.240)
Epoch: [11][300/5005] Time 0.460 (0.475) Data 0.000 (0.017) Loss 2.5278 (2.5284) Prec@1 44.141 (43.919) Prec@5 69.922 (69.238)
Epoch: [11][310/5005] Time 0.466 (0.475) Data 0.000 (0.017) Loss 2.6214 (2.5255) Prec@1 44.141 (43.964) Prec@5 67.578 (69.296)
Epoch: [11][320/5005] Time 0.464 (0.474) Data 0.000 (0.016) Loss 2.6294 (2.5245) Prec@1 40.234 (43.984) Prec@5 69.531 (69.311)
Epoch: [11][330/5005] Time 0.463 (0.474) Data 0.000 (0.016) Loss 2.4952 (2.5239) Prec@1 46.094 (44.016) Prec@5 73.047 (69.324)
Epoch: [11][340/5005] Time 0.455 (0.473) Data 0.000 (0.015) Loss 2.4683 (2.5237) Prec@1 41.797 (44.013) Prec@5 72.656 (69.330)
Epoch: [11][350/5005] Time 0.463 (0.473) Data 0.000 (0.015) Loss 2.6899 (2.5224) Prec@1 42.188 (44.053) Prec@5 66.797 (69.349)
Epoch: [11][360/5005] Time 0.459 (0.473) Data 0.000 (0.015) Loss 2.5752 (2.5226) Prec@1 43.359 (44.050) Prec@5 69.141 (69.345)
Epoch: [11][370/5005] Time 0.461 (0.472) Data 0.000 (0.014) Loss 2.5190 (2.5219) Prec@1 42.578 (44.029) Prec@5 71.484 (69.374)
Epoch: [11][380/5005] Time 0.460 (0.472) Data 0.000 (0.014) Loss 2.5722 (2.5235) Prec@1 44.141 (43.997) Prec@5 70.312 (69.347)
Epoch: [11][390/5005] Time 0.460 (0.472) Data 0.000 (0.014) Loss 2.5144 (2.5214) Prec@1 42.188 (44.004) Prec@5 70.312 (69.380)
Epoch: [11][400/5005] Time 0.462 (0.471) Data 0.000 (0.013) Loss 2.5067 (2.5210) Prec@1 44.141 (44.019) Prec@5 71.094 (69.390)
Epoch: [11][410/5005] Time 0.447 (0.471) Data 0.000 (0.013) Loss 2.4740 (2.5206) Prec@1 42.188 (44.004) Prec@5 70.703 (69.377)
Epoch: [11][420/5005] Time 0.463 (0.471) Data 0.000 (0.013) Loss 2.6209 (2.5200) Prec@1 42.578 (44.013) Prec@5 66.406 (69.401)
Epoch: [11][430/5005] Time 0.458 (0.471) Data 0.000 (0.012) Loss 2.5604 (2.5200) Prec@1 44.141 (44.017) Prec@5 68.750 (69.385)
Epoch: [11][440/5005] Time 0.461 (0.470) Data 0.000 (0.012) Loss 2.7243 (2.5206) Prec@1 40.234 (44.007) Prec@5 66.797 (69.360)
Epoch: [11][450/5005] Time 0.462 (0.470) Data 0.000 (0.012) Loss 2.7657 (2.5217) Prec@1 41.016 (43.991) Prec@5 65.625 (69.358)
Epoch: [11][460/5005] Time 0.454 (0.470) Data 0.000 (0.012) Loss 2.4741 (2.5213) Prec@1 42.188 (43.984) Prec@5 67.578 (69.349)
Epoch: [11][470/5005] Time 0.461 (0.470) Data 0.000 (0.011) Loss 2.4697 (2.5196) Prec@1 46.094 (44.001) Prec@5 71.484 (69.374)
Epoch: [11][480/5005] Time 0.455 (0.469) Data 0.000 (0.011) Loss 2.3756 (2.5197) Prec@1 48.047 (44.003) Prec@5 69.922 (69.373)
Epoch: [11][490/5005] Time 0.462 (0.469) Data 0.000 (0.011) Loss 2.5357 (2.5205) Prec@1 43.359 (44.016) Prec@5 69.922 (69.361)
Epoch: [11][500/5005] Time 0.451 (0.469) Data 0.000 (0.011) Loss 2.7444 (2.5204) Prec@1 37.891 (44.008) Prec@5 68.359 (69.380)
Epoch: [11][510/5005] Time 0.454 (0.469) Data 0.000 (0.010) Loss 2.5498 (2.5200) Prec@1 40.234 (43.979) Prec@5 69.922 (69.377)
Epoch: [11][520/5005] Time 0.458 (0.468) Data 0.000 (0.010) Loss 2.5301 (2.5195) Prec@1 44.141 (43.990) Prec@5 67.188 (69.370)
Epoch: [11][530/5005] Time 0.462 (0.468) Data 0.000 (0.010) Loss 2.8601 (2.5206) Prec@1 37.109 (43.952) Prec@5 65.625 (69.352)
Epoch: [11][540/5005] Time 0.461 (0.468) Data 0.000 (0.010) Loss 2.4055 (2.5193) Prec@1 48.828 (43.975) Prec@5 68.750 (69.372)
Epoch: [11][550/5005] Time 0.458 (0.468) Data 0.000 (0.010) Loss 2.3298 (2.5205) Prec@1 44.922 (43.962) Prec@5 69.922 (69.338)
Epoch: [11][560/5005] Time 0.462 (0.468) Data 0.000 (0.010) Loss 2.5896 (2.5199) Prec@1 41.406 (43.971) Prec@5 67.188 (69.354)
Epoch: [11][570/5005] Time 0.457 (0.468) Data 0.000 (0.009) Loss 2.6205 (2.5204) Prec@1 44.141 (43.958) Prec@5 68.359 (69.368)
Epoch: [11][580/5005] Time 0.454 (0.467) Data 0.000 (0.009) Loss 2.5782 (2.5206) Prec@1 42.969 (43.936) Prec@5 69.141 (69.360)
Epoch: [11][590/5005] Time 0.459 (0.467) Data 0.000 (0.009) Loss 2.2539 (2.5202) Prec@1 49.609 (43.926) Prec@5 75.391 (69.363)
Epoch: [11][600/5005] Time 0.462 (0.467) Data 0.000 (0.009) Loss 2.3153 (2.5204) Prec@1 44.922 (43.918) Prec@5 71.094 (69.361)
Epoch: [11][610/5005] Time 0.466 (0.467) Data 0.000 (0.009) Loss 2.5952 (2.5201) Prec@1 42.188 (43.919) Prec@5 68.750 (69.372)
Epoch: [11][620/5005] Time 0.462 (0.467) Data 0.000 (0.009) Loss 2.5282 (2.5188) Prec@1 43.750 (43.944) Prec@5 69.922 (69.389)
Epoch: [11][630/5005] Time 0.463 (0.467) Data 0.000 (0.009) Loss 2.8642 (2.5195) Prec@1 38.281 (43.944) Prec@5 64.062 (69.383)
Epoch: [11][640/5005] Time 0.463 (0.467) Data 0.000 (0.008) Loss 2.4832 (2.5207) Prec@1 47.656 (43.955) Prec@5 71.875 (69.361)
Epoch: [11][650/5005] Time 0.458 (0.467) Data 0.000 (0.008) Loss 2.5231 (2.5199) Prec@1 43.750 (43.954) Prec@5 67.969 (69.372)
Epoch: [11][660/5005] Time 0.456 (0.466) Data 0.000 (0.008) Loss 2.2432 (2.5212) Prec@1 48.828 (43.922) Prec@5 75.781 (69.361)
Epoch: [11][670/5005] Time 0.455 (0.466) Data 0.000 (0.008) Loss 2.5154 (2.5217) Prec@1 44.922 (43.913) Prec@5 70.312 (69.354)
Epoch: [11][680/5005] Time 0.459 (0.466) Data 0.000 (0.008) Loss 2.3750 (2.5213) Prec@1 47.656 (43.908) Prec@5 71.484 (69.368)
Epoch: [11][690/5005] Time 0.457 (0.466) Data 0.000 (0.008) Loss 2.2622 (2.5210) Prec@1 51.172 (43.926) Prec@5 74.219 (69.373)
Epoch: [11][700/5005] Time 0.460 (0.466) Data 0.000 (0.008) Loss 2.5103 (2.5215) Prec@1 45.703 (43.926) Prec@5 66.406 (69.370)
Epoch: [11][710/5005] Time 0.457 (0.466) Data 0.000 (0.008) Loss 2.5234 (2.5213) Prec@1 42.188 (43.936) Prec@5 67.969 (69.377)
Epoch: [11][720/5005] Time 0.461 (0.466) Data 0.000 (0.008) Loss 2.8933 (2.5224) Prec@1 34.766 (43.917) Prec@5 66.797 (69.374)
Epoch: [11][730/5005] Time 0.456 (0.466) Data 0.000 (0.007) Loss 2.4548 (2.5217) Prec@1 48.828 (43.926) Prec@5 67.578 (69.381)
Epoch: [11][740/5005] Time 0.461 (0.466) Data 0.000 (0.007) Loss 2.6483 (2.5222) Prec@1 42.188 (43.907) Prec@5 66.797 (69.379)
Epoch: [11][750/5005] Time 0.454 (0.465) Data 0.000 (0.007) Loss 2.5606 (2.5215) Prec@1 41.016 (43.913) Prec@5 66.797 (69.379)
Epoch: [11][760/5005] Time 0.466 (0.465) Data 0.000 (0.007) Loss 2.1103 (2.5207) Prec@1 52.734 (43.942) Prec@5 75.781 (69.388)
Epoch: [11][770/5005] Time 0.461 (0.465) Data 0.000 (0.007) Loss 2.6600 (2.5202) Prec@1 41.016 (43.942) Prec@5 70.312 (69.402)
Epoch: [11][780/5005] Time 0.459 (0.465) Data 0.000 (0.007) Loss 2.4983 (2.5212) Prec@1 41.016 (43.934) Prec@5 67.578 (69.386)
Epoch: [11][790/5005] Time 0.464 (0.465) Data 0.000 (0.007) Loss 2.3435 (2.5213) Prec@1 45.703 (43.930) Prec@5 74.219 (69.380)
Epoch: [11][800/5005] Time 0.459 (0.465) Data 0.000 (0.007) Loss 2.3902 (2.5208) Prec@1 50.000 (43.931) Prec@5 70.312 (69.392)
Epoch: [11][810/5005] Time 0.465 (0.465) Data 0.000 (0.007) Loss 2.4368 (2.5213) Prec@1 43.750 (43.908) Prec@5 72.656 (69.393)
Epoch: [11][820/5005] Time 0.459 (0.465) Data 0.000 (0.007) Loss 2.4010 (2.5211) Prec@1 46.094 (43.916) Prec@5 70.703 (69.394)
Epoch: [11][830/5005] Time 0.460 (0.465) Data 0.000 (0.007) Loss 2.4162 (2.5212) Prec@1 45.312 (43.925) Prec@5 71.875 (69.402)
Epoch: [11][840/5005] Time 0.454 (0.465) Data 0.001 (0.007) Loss 2.3680 (2.5204) Prec@1 46.875 (43.927) Prec@5 71.875 (69.424)
Epoch: [11][850/5005] Time 0.455 (0.465) Data 0.000 (0.006) Loss 2.4155 (2.5211) Prec@1 43.359 (43.918) Prec@5 71.094 (69.416)
Epoch: [11][860/5005] Time 0.463 (0.465) Data 0.000 (0.006) Loss 2.6627 (2.5213) Prec@1 38.281 (43.926) Prec@5 67.969 (69.409)
Epoch: [11][870/5005] Time 0.456 (0.465) Data 0.000 (0.006) Loss 2.4379 (2.5212) Prec@1 42.969 (43.926) Prec@5 70.703 (69.408)
Epoch: [11][880/5005] Time 0.460 (0.465) Data 0.000 (0.006) Loss 2.4938 (2.5205) Prec@1 42.969 (43.930) Prec@5 67.969 (69.418)
Epoch: [11][890/5005] Time 0.455 (0.465) Data 0.000 (0.006) Loss 2.4259 (2.5210) Prec@1 44.922 (43.925) Prec@5 72.656 (69.413)
Epoch: [11][900/5005] Time 0.461 (0.464) Data 0.000 (0.006) Loss 2.5956 (2.5217) Prec@1 42.188 (43.914) Prec@5 69.922 (69.406)
Epoch: [11][910/5005] Time 0.460 (0.464) Data 0.000 (0.006) Loss 2.6729 (2.5213) Prec@1 42.188 (43.913) Prec@5 65.625 (69.416)
Epoch: [11][920/5005] Time 0.463 (0.464) Data 0.000 (0.006) Loss 2.5565 (2.5211) Prec@1 42.578 (43.910) Prec@5 68.750 (69.421)
Epoch: [11][930/5005] Time 0.461 (0.464) Data 0.000 (0.006) Loss 2.4480 (2.5213) Prec@1 44.922 (43.906) Prec@5 70.312 (69.423)
Epoch: [11][940/5005] Time 0.463 (0.464) Data 0.000 (0.006) Loss 2.6978 (2.5218) Prec@1 44.922 (43.901) Prec@5 68.359 (69.427)
Epoch: [11][950/5005] Time 0.455 (0.464) Data 0.000 (0.006) Loss 2.5903 (2.5213) Prec@1 42.578 (43.897) Prec@5 66.797 (69.438)
Epoch: [11][960/5005] Time 0.456 (0.464) Data 0.000 (0.006) Loss 2.5621 (2.5210) Prec@1 44.531 (43.910) Prec@5 70.312 (69.444)
Epoch: [11][970/5005] Time 0.459 (0.464) Data 0.000 (0.006) Loss 2.5438 (2.5209) Prec@1 43.359 (43.907) Prec@5 68.359 (69.444)
Epoch: [11][980/5005] Time 0.455 (0.464) Data 0.000 (0.006) Loss 2.4328 (2.5203) Prec@1 49.609 (43.916) Prec@5 69.141 (69.452)
Epoch: [11][990/5005] Time 0.458 (0.464) Data 0.000 (0.006) Loss 2.4804 (2.5203) Prec@1 46.875 (43.922) Prec@5 67.188 (69.454)
Epoch: [11][1000/5005] Time 0.453 (0.464) Data 0.000 (0.006) Loss 2.4473 (2.5207) Prec@1 45.703 (43.922) Prec@5 71.094 (69.441)
Epoch: [11][1010/5005] Time 0.457 (0.464) Data 0.000 (0.005) Loss 2.3765 (2.5206) Prec@1 42.969 (43.927) Prec@5 66.797 (69.446)
Epoch: [11][1020/5005] Time 0.460 (0.464) Data 0.000 (0.005) Loss 2.6845 (2.5198) Prec@1 44.922 (43.944) Prec@5 69.531 (69.461)
Epoch: [11][1030/5005] Time 0.457 (0.464) Data 0.000 (0.005) Loss 2.4972 (2.5203) Prec@1 42.578 (43.931) Prec@5 68.359 (69.452)
Epoch: [11][1040/5005] Time 0.452 (0.464) Data 0.000 (0.005) Loss 2.4528 (2.5207) Prec@1 41.016 (43.918) Prec@5 72.656 (69.447)
Epoch: [11][1050/5005] Time 0.453 (0.464) Data 0.001 (0.005) Loss 2.3424 (2.5207) Prec@1 47.266 (43.923) Prec@5 71.094 (69.448)
Epoch: [11][1060/5005] Time 0.459 (0.464) Data 0.000 (0.005) Loss 2.3426 (2.5203) Prec@1 47.266 (43.925) Prec@5 73.047 (69.457)
Epoch: [11][1070/5005] Time 0.459 (0.464) Data 0.000 (0.005) Loss 2.3868 (2.5199) Prec@1 44.141 (43.927) Prec@5 70.703 (69.464)
Epoch: [11][1080/5005] Time 0.464 (0.464) Data 0.000 (0.005) Loss 2.6371 (2.5205) Prec@1 45.312 (43.926) Prec@5 68.750 (69.450)
Epoch: [11][1090/5005] Time 0.459 (0.463) Data 0.000 (0.005) Loss 2.5511 (2.5205) Prec@1 39.062 (43.929) Prec@5 71.484 (69.447)
Epoch: [11][1100/5005] Time 0.458 (0.463) Data 0.000 (0.005) Loss 2.4969 (2.5206) Prec@1 47.266 (43.919) Prec@5 66.797 (69.447)
Epoch: [11][1110/5005] Time 0.462 (0.463) Data 0.000 (0.005) Loss 2.7298 (2.5211) Prec@1 41.406 (43.913) Prec@5 64.844 (69.423)
Epoch: [11][1120/5005] Time 0.454 (0.463) Data 0.000 (0.005) Loss 2.4534 (2.5206) Prec@1 44.531 (43.922) Prec@5 71.094 (69.427)
Epoch: [11][1130/5005] Time 0.457 (0.463) Data 0.000 (0.005) Loss 2.6709 (2.5213) Prec@1 42.188 (43.913) Prec@5 66.797 (69.409)
Epoch: [11][1140/5005] Time 0.460 (0.463) Data 0.000 (0.005) Loss 2.5469 (2.5211) Prec@1 44.531 (43.917) Prec@5 73.047 (69.421)
Epoch: [11][1150/5005] Time 0.460 (0.463) Data 0.000 (0.005) Loss 2.6259 (2.5215) Prec@1 44.922 (43.906) Prec@5 70.312 (69.425)
Epoch: [11][1160/5005] Time 0.461 (0.463) Data 0.000 (0.005) Loss 2.6618 (2.5219) Prec@1 40.234 (43.902) Prec@5 69.141 (69.425)
Epoch: [11][1170/5005] Time 0.459 (0.463) Data 0.000 (0.005) Loss 2.4937 (2.5220) Prec@1 43.750 (43.900) Prec@5 70.703 (69.424)
Epoch: [11][1180/5005] Time 0.456 (0.463) Data 0.001 (0.005) Loss 2.5161 (2.5228) Prec@1 44.141 (43.890) Prec@5 68.359 (69.409)
Epoch: [11][1190/5005] Time 0.459 (0.463) Data 0.000 (0.005) Loss 2.6209 (2.5223) Prec@1 42.188 (43.893) Prec@5 67.969 (69.424)
Epoch: [11][1200/5005] Time 0.461 (0.463) Data 0.000 (0.005) Loss 2.4972 (2.5227) Prec@1 39.844 (43.876) Prec@5 71.094 (69.423)
Epoch: [11][1210/5005] Time 0.456 (0.463) Data 0.000 (0.005) Loss 2.5261 (2.5230) Prec@1 43.750 (43.876) Prec@5 69.141 (69.419)
Epoch: [11][1220/5005] Time 0.456 (0.463) Data 0.000 (0.005) Loss 2.6015 (2.5229) Prec@1 42.188 (43.874) Prec@5 68.359 (69.428)
Epoch: [11][1230/5005] Time 0.460 (0.463) Data 0.000 (0.005) Loss 2.4714 (2.5225) Prec@1 41.016 (43.875) Prec@5 66.797 (69.431)
Epoch: [11][1240/5005] Time 0.460 (0.463) Data 0.000 (0.005) Loss 2.6289 (2.5229) Prec@1 41.797 (43.874) Prec@5 68.359 (69.423)
Epoch: [11][1250/5005] Time 0.456 (0.463) Data 0.001 (0.005) Loss 2.6860 (2.5235) Prec@1 39.062 (43.863) Prec@5 69.141 (69.416)
Epoch: [11][1260/5005] Time 0.464 (0.463) Data 0.000 (0.004) Loss 2.3596 (2.5231) Prec@1 44.531 (43.867) Prec@5 71.875 (69.422)
Epoch: [11][1270/5005] Time 0.462 (0.463) Data 0.000 (0.004) Loss 2.3501 (2.5229) Prec@1 46.484 (43.866) Prec@5 71.484 (69.433)
Epoch: [11][1280/5005] Time 0.457 (0.463) Data 0.000 (0.004) Loss 2.5367 (2.5229) Prec@1 42.969 (43.867) Prec@5 68.750 (69.429)
Epoch: [11][1290/5005] Time 0.457 (0.463) Data 0.000 (0.004) Loss 2.6503 (2.5230) Prec@1 37.891 (43.859) Prec@5 69.922 (69.436)
Epoch: [11][1300/5005] Time 0.454 (0.463) Data 0.000 (0.004) Loss 2.4526 (2.5226) Prec@1 45.312 (43.874) Prec@5 67.969 (69.439)
Epoch: [11][1310/5005] Time 0.455 (0.463) Data 0.000 (0.004) Loss 2.6144 (2.5235) Prec@1 38.281 (43.863) Prec@5 67.969 (69.422)
Epoch: [11][1320/5005] Time 0.459 (0.463) Data 0.000 (0.004) Loss 2.6749 (2.5238) Prec@1 43.750 (43.854) Prec@5 67.578 (69.417)
Epoch: [11][1330/5005] Time 0.462 (0.463) Data 0.000 (0.004) Loss 2.4923 (2.5239) Prec@1 44.141 (43.858) Prec@5 73.828 (69.423)
Epoch: [11][1340/5005] Time 0.460 (0.463) Data 0.000 (0.004) Loss 2.3997 (2.5240) Prec@1 47.656 (43.857) Prec@5 69.531 (69.421)
Epoch: [11][1350/5005] Time 0.461 (0.463) Data 0.000 (0.004) Loss 2.5923 (2.5239) Prec@1 39.453 (43.857) Prec@5 69.141 (69.415)
Epoch: [11][1360/5005] Time 0.458 (0.463) Data 0.000 (0.004) Loss 2.6769 (2.5244) Prec@1 44.141 (43.857) Prec@5 64.844 (69.407)
Epoch: [11][1370/5005] Time 0.456 (0.463) Data 0.000 (0.004) Loss 2.5406 (2.5244) Prec@1 47.656 (43.870) Prec@5 69.141 (69.404)
Epoch: [11][1380/5005] Time 0.458 (0.463) Data 0.000 (0.004) Loss 2.7058 (2.5247) Prec@1 41.016 (43.868) Prec@5 67.578 (69.401)
Epoch: [11][1390/5005] Time 0.464 (0.462) Data 0.000 (0.004) Loss 2.4546 (2.5242) Prec@1 44.531 (43.871) Prec@5 72.266 (69.408)
Epoch: [11][1400/5005] Time 0.453 (0.462) Data 0.000 (0.004) Loss 2.3141 (2.5239) Prec@1 46.875 (43.879) Prec@5 71.094 (69.408)
Epoch: [11][1410/5005] Time 0.453 (0.462) Data 0.000 (0.004) Loss 2.5666 (2.5240) Prec@1 42.969 (43.882) Prec@5 66.797 (69.407)
Epoch: [11][1420/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 2.3208 (2.5235) Prec@1 46.094 (43.879) Prec@5 73.828 (69.414)
Epoch: [11][1430/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 2.5548 (2.5235) Prec@1 44.922 (43.879) Prec@5 68.750 (69.412)
Epoch: [11][1440/5005] Time 0.464 (0.462) Data 0.000 (0.004) Loss 2.8257 (2.5236) Prec@1 41.797 (43.876) Prec@5 66.797 (69.411)
Epoch: [11][1450/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 2.3850 (2.5234) Prec@1 47.656 (43.879) Prec@5 72.266 (69.417)
Epoch: [11][1460/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 2.5273 (2.5233) Prec@1 42.188 (43.884) Prec@5 69.531 (69.422)
Epoch: [11][1470/5005] Time 0.461 (0.462) Data 0.000 (0.004) Loss 2.6667 (2.5237) Prec@1 43.750 (43.880) Prec@5 67.969 (69.415)
Epoch: [11][1480/5005] Time 0.454 (0.462) Data 0.000 (0.004) Loss 2.4843 (2.5236) Prec@1 43.359 (43.878) Prec@5 68.750 (69.421)
Epoch: [11][1490/5005] Time 0.464 (0.462) Data 0.000 (0.004) Loss 2.5529 (2.5237) Prec@1 43.359 (43.880) Prec@5 67.969 (69.417)
Epoch: [11][1500/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 2.2148 (2.5234) Prec@1 49.609 (43.886) Prec@5 73.828 (69.421)
Epoch: [11][1510/5005] Time 0.460 (0.462) Data 0.000 (0.004) Loss 2.5638 (2.5234) Prec@1 42.578 (43.881) Prec@5 69.141 (69.421)
Epoch: [11][1520/5005] Time 0.459 (0.462) Data 0.000 (0.004) Loss 2.5299 (2.5230) Prec@1 45.312 (43.893) Prec@5 68.359 (69.425)
Epoch: [11][1530/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 2.5210 (2.5229) Prec@1 48.047 (43.897) Prec@5 69.141 (69.426)
Epoch: [11][1540/5005] Time 0.464 (0.462) Data 0.000 (0.004) Loss 2.4146 (2.5225) Prec@1 43.750 (43.906) Prec@5 73.047 (69.433)
Epoch: [11][1550/5005] Time 0.464 (0.462) Data 0.000 (0.004) Loss 2.5554 (2.5221) Prec@1 42.188 (43.913) Prec@5 65.625 (69.440)
Epoch: [11][1560/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 2.4348 (2.5220) Prec@1 43.750 (43.916) Prec@5 75.391 (69.440)
Epoch: [11][1570/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 2.5418 (2.5222) Prec@1 47.266 (43.914) Prec@5 72.266 (69.442)
Epoch: [11][1580/5005] Time 0.463 (0.462) Data 0.000 (0.004) Loss 2.6818 (2.5221) Prec@1 40.625 (43.913) Prec@5 67.969 (69.443)
Epoch: [11][1590/5005] Time 0.462 (0.462) Data 0.000 (0.004) Loss 2.4605 (2.5222) Prec@1 46.875 (43.911) Prec@5 67.188 (69.435)
Epoch: [11][1600/5005] Time 0.462 (0.462) Data 0.001 (0.004) Loss 2.4864 (2.5227) Prec@1 44.531 (43.903) Prec@5 69.922 (69.430)
Epoch: [11][1610/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 2.6057 (2.5229) Prec@1 37.109 (43.899) Prec@5 68.359 (69.426)
Epoch: [11][1620/5005] Time 0.461 (0.462) Data 0.000 (0.004) Loss 2.6431 (2.5238) Prec@1 42.578 (43.883) Prec@5 66.016 (69.405)
Epoch: [11][1630/5005] Time 0.469 (0.462) Data 0.000 (0.004) Loss 2.3018 (2.5236) Prec@1 47.266 (43.883) Prec@5 74.219 (69.412)
Epoch: [11][1640/5005] Time 0.462 (0.462) Data 0.000 (0.004) Loss 2.6715 (2.5238) Prec@1 41.406 (43.881) Prec@5 65.234 (69.407)
Epoch: [11][1650/5005] Time 0.459 (0.462) Data 0.000 (0.004) Loss 2.6923 (2.5237) Prec@1 43.750 (43.885) Prec@5 63.281 (69.405)
Epoch: [11][1660/5005] Time 0.462 (0.462) Data 0.000 (0.004) Loss 2.5005 (2.5238) Prec@1 41.406 (43.887) Prec@5 71.875 (69.403)
Epoch: [11][1670/5005] Time 0.455 (0.462) Data 0.000 (0.003) Loss 2.5791 (2.5236) Prec@1 43.359 (43.889) Prec@5 68.750 (69.409)
Epoch: [11][1680/5005] Time 0.458 (0.462) Data 0.000 (0.003) Loss 2.5650 (2.5233) Prec@1 48.828 (43.890) Prec@5 69.922 (69.414)
Epoch: [11][1690/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 2.5381 (2.5236) Prec@1 46.484 (43.891) Prec@5 70.703 (69.403)
Epoch: [11][1700/5005] Time 0.464 (0.462) Data 0.000 (0.003) Loss 2.3402 (2.5234) Prec@1 42.578 (43.893) Prec@5 73.438 (69.405)
Epoch: [11][1710/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 2.4799 (2.5232) Prec@1 42.969 (43.896) Prec@5 70.312 (69.409)
Epoch: [11][1720/5005] Time 0.459 (0.462) Data 0.000 (0.003) Loss 2.6760 (2.5233) Prec@1 44.531 (43.894) Prec@5 67.188 (69.405)
Epoch: [11][1730/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 2.4003 (2.5235) Prec@1 42.578 (43.892) Prec@5 71.094 (69.404)
Epoch: [11][1740/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 2.3368 (2.5231) Prec@1 48.438 (43.901) Prec@5 71.875 (69.406)
Epoch: [11][1750/5005] Time 0.456 (0.462) Data 0.000 (0.003) Loss 2.2818 (2.5228) Prec@1 50.000 (43.907) Prec@5 75.781 (69.412)
Epoch: [11][1760/5005] Time 0.459 (0.462) Data 0.000 (0.003) Loss 2.5471 (2.5226) Prec@1 45.703 (43.908) Prec@5 69.141 (69.412)
Epoch: [11][1770/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 2.6438 (2.5226) Prec@1 42.188 (43.907) Prec@5 68.750 (69.413)
Epoch: [11][1780/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 2.4151 (2.5223) Prec@1 45.312 (43.915) Prec@5 73.438 (69.420)
Epoch: [11][1790/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 2.4928 (2.5225) Prec@1 42.969 (43.910) Prec@5 67.188 (69.419)
Epoch: [11][1800/5005] Time 0.463 (0.462) Data 0.000 (0.003) Loss 2.7364 (2.5226) Prec@1 43.359 (43.908) Prec@5 67.578 (69.415)
Epoch: [11][1810/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 2.6267 (2.5226) Prec@1 42.969 (43.913) Prec@5 66.406 (69.415)
Epoch: [11][1820/5005] Time 0.451 (0.462) Data 0.000 (0.003) Loss 2.4015 (2.5225) Prec@1 43.359 (43.912) Prec@5 69.922 (69.416)
Epoch: [11][1830/5005] Time 0.463 (0.462) Data 0.000 (0.003) Loss 2.4490 (2.5228) Prec@1 42.188 (43.911) Prec@5 71.875 (69.412)
Epoch: [11][1840/5005] Time 0.463 (0.462) Data 0.000 (0.003) Loss 2.5346 (2.5227) Prec@1 46.484 (43.919) Prec@5 68.359 (69.417)
Epoch: [11][1850/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 2.4331 (2.5225) Prec@1 46.484 (43.919) Prec@5 69.531 (69.416)
Epoch: [11][1860/5005] Time 0.464 (0.462) Data 0.000 (0.003) Loss 2.6763 (2.5228) Prec@1 38.672 (43.915) Prec@5 66.797 (69.415)
Epoch: [11][1870/5005] Time 0.455 (0.462) Data 0.000 (0.003) Loss 2.4743 (2.5231) Prec@1 46.094 (43.912) Prec@5 70.312 (69.409)
Epoch: [11][1880/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 2.4937 (2.5236) Prec@1 43.359 (43.910) Prec@5 70.703 (69.403)
Epoch: [11][1890/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 2.8110 (2.5238) Prec@1 37.109 (43.907) Prec@5 62.500 (69.395)
Epoch: [11][1900/5005] Time 0.463 (0.462) Data 0.000 (0.003) Loss 2.5214 (2.5239) Prec@1 45.312 (43.907) Prec@5 68.750 (69.389)
Epoch: [11][1910/5005] Time 0.459 (0.462) Data 0.000 (0.003) Loss 2.4438 (2.5240) Prec@1 46.094 (43.907) Prec@5 71.094 (69.389)
Epoch: [11][1920/5005] Time 0.453 (0.461) Data 0.000 (0.003) Loss 2.6409 (2.5241) Prec@1 42.188 (43.907) Prec@5 67.969 (69.392)
Epoch: [11][1930/5005] Time 0.462 (0.461) Data 0.000 (0.003) Loss 2.5035 (2.5241) Prec@1 45.703 (43.905) Prec@5 69.922 (69.395)
Epoch: [11][1940/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.5410 (2.5242) Prec@1 44.531 (43.899) Prec@5 69.922 (69.394)
Epoch: [11][1950/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.2297 (2.5237) Prec@1 52.344 (43.909) Prec@5 71.094 (69.398)
Epoch: [11][1960/5005] Time 0.449 (0.461) Data 0.000 (0.003) Loss 2.6692 (2.5234) Prec@1 40.625 (43.918) Prec@5 64.844 (69.400)
Epoch: [11][1970/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.6155 (2.5236) Prec@1 42.578 (43.916) Prec@5 69.922 (69.394)
Epoch: [11][1980/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 2.2611 (2.5232) Prec@1 49.609 (43.925) Prec@5 72.656 (69.401)
Epoch: [11][1990/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 2.3396 (2.5230) Prec@1 46.875 (43.933) Prec@5 71.875 (69.408)
Epoch: [11][2000/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 2.7063 (2.5227) Prec@1 41.406 (43.936) Prec@5 64.062 (69.410)
Epoch: [11][2010/5005] Time 0.466 (0.461) Data 0.000 (0.003) Loss 2.4604 (2.5225) Prec@1 44.141 (43.932) Prec@5 73.047 (69.419)
Epoch: [11][2020/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.5765 (2.5227) Prec@1 41.797 (43.932) Prec@5 70.312 (69.414)
Epoch: [11][2030/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 2.6848 (2.5226) Prec@1 41.016 (43.928) Prec@5 66.797 (69.414)
Epoch: [11][2040/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 2.3523 (2.5226) Prec@1 48.047 (43.930) Prec@5 70.312 (69.415)
Epoch: [11][2050/5005] Time 0.453 (0.461) Data 0.000 (0.003) Loss 2.6962 (2.5225) Prec@1 41.797 (43.930) Prec@5 67.188 (69.418)
Epoch: [11][2060/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.7879 (2.5226) Prec@1 38.281 (43.925) Prec@5 67.969 (69.416)
Epoch: [11][2070/5005] Time 0.454 (0.461) Data 0.000 (0.003) Loss 2.5125 (2.5223) Prec@1 43.750 (43.930) Prec@5 69.922 (69.430)
Epoch: [11][2080/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 2.3135 (2.5220) Prec@1 48.828 (43.937) Prec@5 70.312 (69.429)
Epoch: [11][2090/5005] Time 0.464 (0.461) Data 0.001 (0.003) Loss 2.6070 (2.5219) Prec@1 41.797 (43.947) Prec@5 65.625 (69.429)
Epoch: [11][2100/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.2567 (2.5222) Prec@1 48.047 (43.941) Prec@5 71.875 (69.425)
Epoch: [11][2110/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.4007 (2.5223) Prec@1 49.219 (43.944) Prec@5 72.656 (69.426)
Epoch: [11][2120/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.5333 (2.5223) Prec@1 45.312 (43.945) Prec@5 66.406 (69.422)
Epoch: [11][2130/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 2.5750 (2.5223) Prec@1 42.188 (43.950) Prec@5 69.531 (69.423)
Epoch: [11][2140/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 2.6600 (2.5225) Prec@1 41.406 (43.941) Prec@5 64.844 (69.419)
Epoch: [11][2150/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 2.5373 (2.5228) Prec@1 41.406 (43.934) Prec@5 67.969 (69.413)
Epoch: [11][2160/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.4003 (2.5225) Prec@1 42.188 (43.932) Prec@5 71.484 (69.418)
Epoch: [11][2170/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.5535 (2.5224) Prec@1 45.312 (43.938) Prec@5 69.922 (69.419)
Epoch: [11][2180/5005] Time 0.459 (0.461) Data 0.001 (0.003) Loss 2.4877 (2.5223) Prec@1 46.094 (43.943) Prec@5 71.875 (69.415)
Epoch: [11][2190/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.6228 (2.5225) Prec@1 39.062 (43.935) Prec@5 67.969 (69.409)
Epoch: [11][2200/5005] Time 0.465 (0.461) Data 0.000 (0.003) Loss 2.4179 (2.5225) Prec@1 46.875 (43.939) Prec@5 74.219 (69.412)
Epoch: [11][2210/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.8107 (2.5227) Prec@1 42.969 (43.937) Prec@5 64.844 (69.405)
Epoch: [11][2220/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.4221 (2.5229) Prec@1 44.141 (43.937) Prec@5 71.875 (69.406)
Epoch: [11][2230/5005] Time 0.453 (0.461) Data 0.000 (0.003) Loss 2.3866 (2.5225) Prec@1 43.359 (43.947) Prec@5 74.219 (69.415)
Epoch: [11][2240/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.6707 (2.5228) Prec@1 42.188 (43.945) Prec@5 71.094 (69.412)
Epoch: [11][2250/5005] Time 0.455 (0.461) Data 0.000 (0.003) Loss 2.5718 (2.5227) Prec@1 42.578 (43.946) Prec@5 68.750 (69.417)
Epoch: [11][2260/5005] Time 0.455 (0.461) Data 0.000 (0.003) Loss 2.4867 (2.5229) Prec@1 42.969 (43.944) Prec@5 73.828 (69.416)
Epoch: [11][2270/5005] Time 0.454 (0.461) Data 0.000 (0.003) Loss 2.4736 (2.5228) Prec@1 43.359 (43.947) Prec@5 69.922 (69.420)
Epoch: [11][2280/5005] Time 0.452 (0.461) Data 0.000 (0.003) Loss 2.5574 (2.5227) Prec@1 46.875 (43.955) Prec@5 69.922 (69.420)
Epoch: [11][2290/5005] Time 0.464 (0.461) Data 0.000 (0.003) Loss 2.5539 (2.5224) Prec@1 43.359 (43.957) Prec@5 68.750 (69.422)
Epoch: [11][2300/5005] Time 0.454 (0.461) Data 0.000 (0.003) Loss 2.4769 (2.5225) Prec@1 41.406 (43.950) Prec@5 72.266 (69.421)
Epoch: [11][2310/5005] Time 0.462 (0.461) Data 0.000 (0.003) Loss 2.6654 (2.5225) Prec@1 41.406 (43.947) Prec@5 66.406 (69.421)
Epoch: [11][2320/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.2414 (2.5224) Prec@1 49.219 (43.950) Prec@5 75.000 (69.422)
Epoch: [11][2330/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.2998 (2.5225) Prec@1 46.094 (43.947) Prec@5 73.047 (69.422)
Epoch: [11][2340/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 2.4516 (2.5226) Prec@1 44.531 (43.944) Prec@5 68.750 (69.419)
Epoch: [11][2350/5005] Time 0.464 (0.461) Data 0.000 (0.003) Loss 2.6016 (2.5230) Prec@1 46.094 (43.938) Prec@5 69.531 (69.415)
Epoch: [11][2360/5005] Time 0.462 (0.461) Data 0.000 (0.003) Loss 2.6221 (2.5233) Prec@1 41.406 (43.929) Prec@5 67.969 (69.408)
Epoch: [11][2370/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.4908 (2.5233) Prec@1 44.922 (43.930) Prec@5 69.922 (69.409)
Epoch: [11][2380/5005] Time 0.462 (0.461) Data 0.000 (0.003) Loss 2.3841 (2.5235) Prec@1 45.312 (43.932) Prec@5 71.875 (69.404)
Epoch: [11][2390/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.4822 (2.5236) Prec@1 44.922 (43.932) Prec@5 71.094 (69.403)
Epoch: [11][2400/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.2226 (2.5236) Prec@1 52.344 (43.937) Prec@5 73.438 (69.404)
Epoch: [11][2410/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.6535 (2.5236) Prec@1 44.531 (43.939) Prec@5 66.797 (69.407)
Epoch: [11][2420/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.6843 (2.5235) Prec@1 38.672 (43.939) Prec@5 65.234 (69.409)
Epoch: [11][2430/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.8389 (2.5238) Prec@1 38.672 (43.934) Prec@5 63.281 (69.405)
Epoch: [11][2440/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.6450 (2.5241) Prec@1 42.578 (43.933) Prec@5 66.406 (69.398)
Epoch: [11][2450/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 2.4415 (2.5242) Prec@1 44.141 (43.929) Prec@5 68.359 (69.394)
Epoch: [11][2460/5005] Time 0.450 (0.461) Data 0.000 (0.003) Loss 2.4697 (2.5242) Prec@1 44.922 (43.927) Prec@5 70.703 (69.391)
Epoch: [11][2470/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 2.5415 (2.5241) Prec@1 45.703 (43.932) Prec@5 69.141 (69.395)
Epoch: [11][2480/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.2957 (2.5240) Prec@1 49.219 (43.927) Prec@5 72.656 (69.393)
Epoch: [11][2490/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.2447 (2.5241) Prec@1 47.656 (43.925) Prec@5 74.219 (69.394)
Epoch: [11][2500/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5137 (2.5241) Prec@1 45.312 (43.930) Prec@5 67.969 (69.395)
Epoch: [11][2510/5005] Time 0.452 (0.461) Data 0.000 (0.002) Loss 2.6159 (2.5241) Prec@1 44.141 (43.930) Prec@5 70.703 (69.401)
Epoch: [11][2520/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.8068 (2.5244) Prec@1 42.969 (43.926) Prec@5 66.797 (69.393)
Epoch: [11][2530/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.3816 (2.5242) Prec@1 44.922 (43.929) Prec@5 71.484 (69.396)
Epoch: [11][2540/5005] Time 0.452 (0.461) Data 0.000 (0.002) Loss 2.4542 (2.5239) Prec@1 45.703 (43.938) Prec@5 70.703 (69.403)
Epoch: [11][2550/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.7185 (2.5241) Prec@1 41.797 (43.937) Prec@5 68.359 (69.402)
Epoch: [11][2560/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.5163 (2.5240) Prec@1 42.969 (43.938) Prec@5 70.703 (69.406)
Epoch: [11][2570/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.7210 (2.5241) Prec@1 41.406 (43.936) Prec@5 66.016 (69.407)
Epoch: [11][2580/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5051 (2.5240) Prec@1 44.531 (43.934) Prec@5 68.750 (69.410)
Epoch: [11][2590/5005] Time 0.462 (0.461) Data 0.001 (0.002) Loss 2.6256 (2.5239) Prec@1 43.359 (43.933) Prec@5 67.969 (69.411)
Epoch: [11][2600/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.6217 (2.5242) Prec@1 43.750 (43.927) Prec@5 67.188 (69.406)
Epoch: [11][2610/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.2723 (2.5240) Prec@1 49.609 (43.932) Prec@5 75.391 (69.408)
Epoch: [11][2620/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.4248 (2.5242) Prec@1 47.266 (43.926) Prec@5 71.875 (69.403)
Epoch: [11][2630/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.6402 (2.5248) Prec@1 42.188 (43.920) Prec@5 69.141 (69.392)
Epoch: [11][2640/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.7257 (2.5248) Prec@1 37.891 (43.919) Prec@5 67.578 (69.395)
Epoch: [11][2650/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5156 (2.5250) Prec@1 48.828 (43.917) Prec@5 67.578 (69.396)
Epoch: [11][2660/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.5909 (2.5247) Prec@1 42.578 (43.921) Prec@5 66.797 (69.399)
Epoch: [11][2670/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.6226 (2.5247) Prec@1 46.094 (43.925) Prec@5 67.578 (69.396)
Epoch: [11][2680/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5874 (2.5247) Prec@1 41.797 (43.928) Prec@5 70.703 (69.395)
Epoch: [11][2690/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.6747 (2.5250) Prec@1 41.406 (43.921) Prec@5 66.016 (69.391)
Epoch: [11][2700/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.5913 (2.5248) Prec@1 43.359 (43.925) Prec@5 68.750 (69.392)
Epoch: [11][2710/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.3869 (2.5246) Prec@1 49.609 (43.931) Prec@5 72.266 (69.395)
Epoch: [11][2720/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.4535 (2.5244) Prec@1 46.484 (43.931) Prec@5 69.531 (69.398)
Epoch: [11][2730/5005] Time 0.451 (0.461) Data 0.000 (0.002) Loss 2.8139 (2.5245) Prec@1 44.141 (43.934) Prec@5 64.062 (69.397)
Epoch: [11][2740/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4601 (2.5248) Prec@1 48.047 (43.931) Prec@5 68.750 (69.391)
Epoch: [11][2750/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.6122 (2.5246) Prec@1 44.141 (43.933) Prec@5 67.969 (69.394)
Epoch: [11][2760/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.5949 (2.5248) Prec@1 43.750 (43.932) Prec@5 69.531 (69.388)
Epoch: [11][2770/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.5041 (2.5245) Prec@1 42.578 (43.937) Prec@5 72.656 (69.394)
Epoch: [11][2780/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.4976 (2.5244) Prec@1 46.484 (43.939) Prec@5 71.094 (69.400)
Epoch: [11][2790/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.4716 (2.5243) Prec@1 45.312 (43.944) Prec@5 70.703 (69.400)
Epoch: [11][2800/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.7380 (2.5241) Prec@1 39.062 (43.945) Prec@5 66.797 (69.401)
Epoch: [11][2810/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.7231 (2.5242) Prec@1 42.188 (43.945) Prec@5 67.969 (69.401)
Epoch: [11][2820/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.1610 (2.5239) Prec@1 51.562 (43.951) Prec@5 74.219 (69.402)
Epoch: [11][2830/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.5871 (2.5240) Prec@1 42.578 (43.950) Prec@5 69.531 (69.401)
Epoch: [11][2840/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.8736 (2.5240) Prec@1 39.844 (43.953) Prec@5 62.891 (69.399)
Epoch: [11][2850/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.5367 (2.5239) Prec@1 46.094 (43.956) Prec@5 71.094 (69.406)
Epoch: [11][2860/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.4590 (2.5238) Prec@1 49.219 (43.960) Prec@5 71.484 (69.403)
Epoch: [11][2870/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.4049 (2.5238) Prec@1 47.266 (43.963) Prec@5 70.312 (69.401)
Epoch: [11][2880/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.8428 (2.5238) Prec@1 42.969 (43.965) Prec@5 65.234 (69.401)
Epoch: [11][2890/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.5927 (2.5241) Prec@1 41.016 (43.961) Prec@5 71.484 (69.398)
Epoch: [11][2900/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.1882 (2.5241) Prec@1 48.047 (43.960) Prec@5 77.734 (69.399)
Epoch: [11][2910/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.4260 (2.5238) Prec@1 43.750 (43.966) Prec@5 73.438 (69.406)
Epoch: [11][2920/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.6912 (2.5238) Prec@1 42.969 (43.962) Prec@5 67.578 (69.408)
Epoch: [11][2930/5005] Time 0.450 (0.461) Data 0.000 (0.002) Loss 2.5914 (2.5242) Prec@1 45.312 (43.959) Prec@5 67.188 (69.403)
Epoch: [11][2940/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.5334 (2.5243) Prec@1 45.312 (43.959) Prec@5 71.094 (69.405)
Epoch: [11][2950/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.6010 (2.5241) Prec@1 44.922 (43.965) Prec@5 65.625 (69.408)
Epoch: [11][2960/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 2.2078 (2.5240) Prec@1 48.047 (43.973) Prec@5 74.609 (69.408)
Epoch: [11][2970/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.8043 (2.5241) Prec@1 39.453 (43.970) Prec@5 62.109 (69.403)
Epoch: [11][2980/5005] Time 0.453 (0.461) Data 0.001 (0.002) Loss 2.2882 (2.5239) Prec@1 44.141 (43.970) Prec@5 73.047 (69.407)
Epoch: [11][2990/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.5435 (2.5240) Prec@1 44.531 (43.970) Prec@5 67.969 (69.406)
Epoch: [11][3000/5005] Time 0.468 (0.461) Data 0.000 (0.002) Loss 2.4873 (2.5239) Prec@1 42.969 (43.972) Prec@5 71.484 (69.407)
Epoch: [11][3010/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.5043 (2.5238) Prec@1 44.141 (43.976) Prec@5 69.531 (69.406)
Epoch: [11][3020/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.4915 (2.5243) Prec@1 45.703 (43.966) Prec@5 69.922 (69.401)
Epoch: [11][3030/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.2661 (2.5239) Prec@1 51.562 (43.972) Prec@5 73.047 (69.408)
Epoch: [11][3040/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4247 (2.5238) Prec@1 42.578 (43.975) Prec@5 72.656 (69.409)
Epoch: [11][3050/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.0162 (2.5235) Prec@1 50.000 (43.977) Prec@5 76.562 (69.414)
Epoch: [11][3060/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.5076 (2.5236) Prec@1 43.750 (43.973) Prec@5 69.531 (69.414)
Epoch: [11][3070/5005] Time 0.465 (0.460) Data 0.001 (0.002) Loss 2.7101 (2.5235) Prec@1 41.406 (43.974) Prec@5 67.578 (69.415)
Epoch: [11][3080/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.6171 (2.5236) Prec@1 40.625 (43.969) Prec@5 67.578 (69.413)
Epoch: [11][3090/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.5508 (2.5233) Prec@1 45.703 (43.979) Prec@5 69.531 (69.420)
Epoch: [11][3100/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.7226 (2.5234) Prec@1 40.625 (43.973) Prec@5 67.578 (69.419)
Epoch: [11][3110/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.3440 (2.5233) Prec@1 46.094 (43.975) Prec@5 73.047 (69.420)
Epoch: [11][3120/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.4863 (2.5234) Prec@1 43.359 (43.974) Prec@5 68.750 (69.418)
Epoch: [11][3130/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.6345 (2.5233) Prec@1 41.797 (43.979) Prec@5 70.703 (69.422)
Epoch: [11][3140/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 2.4612 (2.5230) Prec@1 44.141 (43.980) Prec@5 68.750 (69.428)
Epoch: [11][3150/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4515 (2.5227) Prec@1 44.141 (43.982) Prec@5 71.875 (69.434)
Epoch: [11][3160/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.4634 (2.5227) Prec@1 45.312 (43.989) Prec@5 67.969 (69.434)
Epoch: [11][3170/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.6865 (2.5226) Prec@1 42.188 (43.988) Prec@5 66.797 (69.435)
Epoch: [11][3180/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.5964 (2.5225) Prec@1 39.453 (43.990) Prec@5 65.625 (69.436)
Epoch: [11][3190/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.8372 (2.5228) Prec@1 39.453 (43.985) Prec@5 64.062 (69.434)
Epoch: [11][3200/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 2.5063 (2.5229) Prec@1 41.016 (43.983) Prec@5 68.750 (69.431)
Epoch: [11][3210/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.6577 (2.5231) Prec@1 46.094 (43.982) Prec@5 68.359 (69.433)
Epoch: [11][3220/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.4005 (2.5229) Prec@1 44.922 (43.986) Prec@5 73.438 (69.436)
Epoch: [11][3230/5005] Time 0.451 (0.460) Data 0.000 (0.002) Loss 2.6542 (2.5229) Prec@1 42.578 (43.989) Prec@5 64.062 (69.436)
Epoch: [11][3240/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.4749 (2.5229) Prec@1 42.969 (43.988) Prec@5 71.484 (69.434)
Epoch: [11][3250/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.5811 (2.5231) Prec@1 38.672 (43.984) Prec@5 67.969 (69.430)
Epoch: [11][3260/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.6103 (2.5232) Prec@1 41.016 (43.983) Prec@5 69.141 (69.427)
Epoch: [11][3270/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.4759 (2.5230) Prec@1 46.094 (43.987) Prec@5 72.266 (69.431)
Epoch: [11][3280/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.5773 (2.5228) Prec@1 47.266 (43.995) Prec@5 67.188 (69.435)
Epoch: [11][3290/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.4819 (2.5229) Prec@1 44.531 (43.993) Prec@5 69.922 (69.436)
Epoch: [11][3300/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3520 (2.5227) Prec@1 46.484 (43.995) Prec@5 73.047 (69.439)
Epoch: [11][3310/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.5611 (2.5228) Prec@1 43.750 (43.993) Prec@5 69.531 (69.434)
Epoch: [11][3320/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.6989 (2.5231) Prec@1 41.016 (43.985) Prec@5 68.359 (69.431)
Epoch: [11][3330/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.4810 (2.5228) Prec@1 37.500 (43.990) Prec@5 71.484 (69.435)
Epoch: [11][3340/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.7739 (2.5227) Prec@1 41.797 (43.991) Prec@5 64.844 (69.434)
Epoch: [11][3350/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.7859 (2.5230) Prec@1 40.234 (43.984) Prec@5 62.891 (69.426)
Epoch: [11][3360/5005] Time 0.452 (0.460) Data 0.000 (0.002) Loss 2.3635 (2.5230) Prec@1 42.578 (43.982) Prec@5 69.531 (69.425)
Epoch: [11][3370/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.3322 (2.5230) Prec@1 47.656 (43.982) Prec@5 72.266 (69.426)
Epoch: [11][3380/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4460 (2.5229) Prec@1 46.484 (43.983) Prec@5 69.141 (69.426)
Epoch: [11][3390/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.4766 (2.5230) Prec@1 45.703 (43.980) Prec@5 69.531 (69.424)
Epoch: [11][3400/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.5623 (2.5229) Prec@1 40.234 (43.978) Prec@5 68.359 (69.428)
Epoch: [11][3410/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.4628 (2.5228) Prec@1 44.531 (43.980) Prec@5 69.531 (69.431)
Epoch: [11][3420/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.4197 (2.5229) Prec@1 47.656 (43.982) Prec@5 72.266 (69.433)
Epoch: [11][3430/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.5657 (2.5229) Prec@1 46.875 (43.982) Prec@5 69.922 (69.433)
Epoch: [11][3440/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.4743 (2.5228) Prec@1 46.484 (43.982) Prec@5 70.703 (69.438)
Epoch: [11][3450/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 2.3695 (2.5229) Prec@1 43.359 (43.978) Prec@5 69.531 (69.436)
Epoch: [11][3460/5005] Time 0.458 (0.460) Data 0.001 (0.002) Loss 2.3018 (2.5229) Prec@1 46.484 (43.980) Prec@5 70.703 (69.436)
Epoch: [11][3470/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.4887 (2.5228) Prec@1 42.188 (43.980) Prec@5 68.750 (69.436)
Epoch: [11][3480/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.4487 (2.5228) Prec@1 46.875 (43.979) Prec@5 72.266 (69.437)
Epoch: [11][3490/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.7031 (2.5230) Prec@1 41.406 (43.978) Prec@5 63.281 (69.432)
Epoch: [11][3500/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 2.5851 (2.5230) Prec@1 44.922 (43.976) Prec@5 67.188 (69.428)
Epoch: [11][3510/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.3485 (2.5231) Prec@1 51.172 (43.976) Prec@5 72.656 (69.426)
Epoch: [11][3520/5005] Time 0.459 (0.460) Data 0.001 (0.002) Loss 2.0919 (2.5231) Prec@1 52.734 (43.977) Prec@5 75.391 (69.423)
Epoch: [11][3530/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.5845 (2.5230) Prec@1 44.531 (43.979) Prec@5 67.969 (69.423)
Epoch: [11][3540/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.6263 (2.5229) Prec@1 44.922 (43.983) Prec@5 65.625 (69.423)
Epoch: [11][3550/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.3107 (2.5229) Prec@1 49.219 (43.985) Prec@5 71.094 (69.422)
Epoch: [11][3560/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.5465 (2.5229) Prec@1 39.453 (43.985) Prec@5 67.188 (69.423)
Epoch: [11][3570/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.6591 (2.5231) Prec@1 41.016 (43.981) Prec@5 64.844 (69.418)
Epoch: [11][3580/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.5286 (2.5231) Prec@1 44.922 (43.981) Prec@5 72.656 (69.421)
Epoch: [11][3590/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.5932 (2.5232) Prec@1 41.406 (43.978) Prec@5 70.312 (69.422)
Epoch: [11][3600/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.5374 (2.5231) Prec@1 48.828 (43.984) Prec@5 69.531 (69.423)
Epoch: [11][3610/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.5656 (2.5232) Prec@1 40.625 (43.985) Prec@5 69.141 (69.422)
Epoch: [11][3620/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.1717 (2.5230) Prec@1 47.266 (43.990) Prec@5 75.000 (69.427)
Epoch: [11][3630/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.2792 (2.5230) Prec@1 48.828 (43.990) Prec@5 73.828 (69.426)
Epoch: [11][3640/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.6145 (2.5231) Prec@1 44.141 (43.988) Prec@5 65.234 (69.428)
Epoch: [11][3650/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3122 (2.5230) Prec@1 47.266 (43.987) Prec@5 72.656 (69.430)
Epoch: [11][3660/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.6488 (2.5231) Prec@1 43.359 (43.988) Prec@5 69.531 (69.428)
Epoch: [11][3670/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.4462 (2.5230) Prec@1 41.406 (43.990) Prec@5 74.219 (69.432)
Epoch: [11][3680/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.6123 (2.5229) Prec@1 42.969 (43.992) Prec@5 68.359 (69.434)
Epoch: [11][3690/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.7570 (2.5231) Prec@1 42.188 (43.990) Prec@5 65.234 (69.428)
Epoch: [11][3700/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.5839 (2.5231) Prec@1 42.969 (43.992) Prec@5 69.922 (69.427)
Epoch: [11][3710/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.3973 (2.5231) Prec@1 44.531 (43.989) Prec@5 71.875 (69.426)
Epoch: [11][3720/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.6679 (2.5231) Prec@1 41.016 (43.992) Prec@5 69.922 (69.427)
Epoch: [11][3730/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.7543 (2.5230) Prec@1 41.406 (43.995) Prec@5 67.188 (69.427)
Epoch: [11][3740/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3744 (2.5232) Prec@1 46.094 (43.992) Prec@5 74.609 (69.425)
Epoch: [11][3750/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.4529 (2.5232) Prec@1 42.578 (43.992) Prec@5 71.484 (69.424)
Epoch: [11][3760/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 2.5876 (2.5233) Prec@1 44.922 (43.990) Prec@5 69.922 (69.421)
Epoch: [11][3770/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.6421 (2.5234) Prec@1 41.406 (43.988) Prec@5 66.016 (69.421)
Epoch: [11][3780/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.4800 (2.5236) Prec@1 47.266 (43.985) Prec@5 71.484 (69.418)
Epoch: [11][3790/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.4354 (2.5236) Prec@1 40.234 (43.981) Prec@5 68.750 (69.415)
Epoch: [11][3800/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.4168 (2.5235) Prec@1 39.844 (43.978) Prec@5 71.094 (69.414)
Epoch: [11][3810/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.8754 (2.5233) Prec@1 37.891 (43.981) Prec@5 64.453 (69.417)
Epoch: [11][3820/5005] Time 0.460 (0.460) Data 0.001 (0.002) Loss 2.5955 (2.5234) Prec@1 44.141 (43.980) Prec@5 68.750 (69.415)
Epoch: [11][3830/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.3574 (2.5235) Prec@1 44.531 (43.979) Prec@5 71.875 (69.416)
Epoch: [11][3840/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4223 (2.5236) Prec@1 43.359 (43.974) Prec@5 72.656 (69.414)
Epoch: [11][3850/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 2.3864 (2.5234) Prec@1 50.781 (43.976) Prec@5 68.359 (69.415)
Epoch: [11][3860/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.3621 (2.5233) Prec@1 46.484 (43.977) Prec@5 69.141 (69.415)
Epoch: [11][3870/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.5133 (2.5233) Prec@1 44.531 (43.980) Prec@5 69.141 (69.416)
Epoch: [11][3880/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.5454 (2.5232) Prec@1 43.359 (43.984) Prec@5 66.406 (69.417)
Epoch: [11][3890/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.4144 (2.5233) Prec@1 44.141 (43.984) Prec@5 69.922 (69.415)
Epoch: [11][3900/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.4458 (2.5233) Prec@1 42.969 (43.982) Prec@5 71.875 (69.413)
Epoch: [11][3910/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.2606 (2.5233) Prec@1 49.219 (43.982) Prec@5 73.047 (69.411)
Epoch: [11][3920/5005] Time 0.461 (0.460) Data 0.001 (0.002) Loss 2.5611 (2.5233) Prec@1 44.141 (43.983) Prec@5 67.969 (69.411)
Epoch: [11][3930/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.4887 (2.5233) Prec@1 45.312 (43.984) Prec@5 70.312 (69.413)
Epoch: [11][3940/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.4157 (2.5233) Prec@1 47.656 (43.986) Prec@5 73.438 (69.412)
Epoch: [11][3950/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.7007 (2.5234) Prec@1 44.922 (43.985) Prec@5 67.188 (69.414)
Epoch: [11][3960/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.9168 (2.5233) Prec@1 38.672 (43.986) Prec@5 61.719 (69.412)
Epoch: [11][3970/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.5181 (2.5234) Prec@1 43.750 (43.985) Prec@5 70.312 (69.413)
Epoch: [11][3980/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.4858 (2.5233) Prec@1 42.969 (43.988) Prec@5 71.094 (69.415)
Epoch: [11][3990/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3863 (2.5232) Prec@1 46.094 (43.992) Prec@5 72.656 (69.418)
Epoch: [11][4000/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.6052 (2.5233) Prec@1 41.406 (43.994) Prec@5 66.797 (69.415)
Epoch: [11][4010/5005] Time 0.463 (0.460) Data 0.001 (0.002) Loss 2.6648 (2.5232) Prec@1 42.578 (43.992) Prec@5 64.844 (69.416)
Epoch: [11][4020/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.5899 (2.5231) Prec@1 48.047 (43.996) Prec@5 67.578 (69.420)
Epoch: [11][4030/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.4568 (2.5231) Prec@1 46.875 (43.997) Prec@5 71.094 (69.420)
Epoch: [11][4040/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.4780 (2.5230) Prec@1 43.750 (43.998) Prec@5 69.922 (69.422)
Epoch: [11][4050/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.4763 (2.5229) Prec@1 43.750 (44.001) Prec@5 70.312 (69.425)
Epoch: [11][4060/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.6390 (2.5228) Prec@1 41.016 (44.004) Prec@5 71.484 (69.428)
Epoch: [11][4070/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.4545 (2.5228) Prec@1 46.484 (44.004) Prec@5 69.922 (69.428)
Epoch: [11][4080/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.6263 (2.5227) Prec@1 46.094 (44.009) Prec@5 68.750 (69.430)
Epoch: [11][4090/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.3282 (2.5224) Prec@1 47.266 (44.013) Prec@5 72.266 (69.434)
Epoch: [11][4100/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.6422 (2.5225) Prec@1 41.797 (44.013) Prec@5 69.531 (69.434)
Epoch: [11][4110/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 2.6407 (2.5225) Prec@1 41.406 (44.011) Prec@5 66.797 (69.429)
Epoch: [11][4120/5005] Time 0.467 (0.460) Data 0.000 (0.002) Loss 2.6288 (2.5224) Prec@1 42.188 (44.016) Prec@5 67.188 (69.432)
Epoch: [11][4130/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.6139 (2.5225) Prec@1 42.969 (44.016) Prec@5 66.016 (69.429)
Epoch: [11][4140/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.6253 (2.5224) Prec@1 39.453 (44.012) Prec@5 67.969 (69.431)
Epoch: [11][4150/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 2.4303 (2.5222) Prec@1 48.047 (44.017) Prec@5 70.703 (69.435)
Epoch: [11][4160/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.4385 (2.5220) Prec@1 48.828 (44.022) Prec@5 69.141 (69.438)
Epoch: [11][4170/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.7580 (2.5218) Prec@1 37.891 (44.024) Prec@5 67.969 (69.445)
Epoch: [11][4180/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.5913 (2.5216) Prec@1 42.188 (44.026) Prec@5 67.578 (69.446)
Epoch: [11][4190/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.3480 (2.5217) Prec@1 46.875 (44.025) Prec@5 72.266 (69.447)
Epoch: [11][4200/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.3408 (2.5216) Prec@1 46.875 (44.027) Prec@5 72.266 (69.447)
Epoch: [11][4210/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.6159 (2.5217) Prec@1 43.359 (44.027) Prec@5 68.359 (69.445)
Epoch: [11][4220/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.6331 (2.5218) Prec@1 42.578 (44.025) Prec@5 65.625 (69.442)
Epoch: [11][4230/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.6101 (2.5218) Prec@1 44.141 (44.025) Prec@5 67.578 (69.441)
Epoch: [11][4240/5005] Time 0.464 (0.460) Data 0.001 (0.002) Loss 2.4304 (2.5218) Prec@1 43.359 (44.025) Prec@5 70.703 (69.442)
Epoch: [11][4250/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.4646 (2.5218) Prec@1 43.359 (44.026) Prec@5 70.703 (69.441)
Epoch: [11][4260/5005] Time 0.449 (0.460) Data 0.000 (0.002) Loss 2.2518 (2.5218) Prec@1 47.656 (44.022) Prec@5 72.266 (69.442)
Epoch: [11][4270/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.4678 (2.5219) Prec@1 44.531 (44.022) Prec@5 70.703 (69.440)
Epoch: [11][4280/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.2542 (2.5217) Prec@1 46.094 (44.023) Prec@5 74.219 (69.441)
Epoch: [11][4290/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.4007 (2.5218) Prec@1 46.875 (44.025) Prec@5 69.922 (69.442)
Epoch: [11][4300/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.3053 (2.5219) Prec@1 43.750 (44.022) Prec@5 73.438 (69.441)
Epoch: [11][4310/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3641 (2.5217) Prec@1 46.875 (44.025) Prec@5 73.828 (69.445)
Epoch: [11][4320/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.2943 (2.5215) Prec@1 49.219 (44.030) Prec@5 72.266 (69.448)
Epoch: [11][4330/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.2338 (2.5214) Prec@1 51.953 (44.030) Prec@5 73.047 (69.452)
Epoch: [11][4340/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.4004 (2.5214) Prec@1 47.656 (44.032) Prec@5 73.438 (69.453)
Epoch: [11][4350/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.5507 (2.5214) Prec@1 43.750 (44.030) Prec@5 67.578 (69.452)
Epoch: [11][4360/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.3208 (2.5213) Prec@1 51.172 (44.034) Prec@5 73.828 (69.456)
Epoch: [11][4370/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.6202 (2.5212) Prec@1 44.922 (44.035) Prec@5 68.359 (69.457)
Epoch: [11][4380/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.6488 (2.5210) Prec@1 38.672 (44.037) Prec@5 66.406 (69.461)
Epoch: [11][4390/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.6635 (2.5212) Prec@1 43.750 (44.036) Prec@5 68.750 (69.457)
Epoch: [11][4400/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.4291 (2.5213) Prec@1 43.750 (44.031) Prec@5 70.703 (69.455)
Epoch: [11][4410/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4934 (2.5214) Prec@1 43.750 (44.031) Prec@5 68.750 (69.453)
Epoch: [11][4420/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.6379 (2.5213) Prec@1 46.094 (44.031) Prec@5 68.359 (69.453)
Epoch: [11][4430/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.4073 (2.5214) Prec@1 45.703 (44.031) Prec@5 70.312 (69.452)
Epoch: [11][4440/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.4416 (2.5212) Prec@1 44.531 (44.032) Prec@5 69.922 (69.457)
Epoch: [11][4450/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.5133 (2.5211) Prec@1 45.312 (44.036) Prec@5 71.094 (69.459)
Epoch: [11][4460/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.4333 (2.5210) Prec@1 46.484 (44.034) Prec@5 71.094 (69.459)
Epoch: [11][4470/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.4542 (2.5210) Prec@1 47.656 (44.034) Prec@5 68.750 (69.459)
Epoch: [11][4480/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.4807 (2.5210) Prec@1 43.750 (44.032) Prec@5 67.188 (69.458)
Epoch: [11][4490/5005] Time 0.468 (0.460) Data 0.000 (0.002) Loss 2.7027 (2.5212) Prec@1 39.062 (44.028) Prec@5 66.016 (69.457)
Epoch: [11][4500/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.4386 (2.5212) Prec@1 41.797 (44.027) Prec@5 71.094 (69.456)
Epoch: [11][4510/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.4825 (2.5212) Prec@1 42.188 (44.025) Prec@5 69.922 (69.456)
Epoch: [11][4520/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.4629 (2.5212) Prec@1 46.875 (44.023) Prec@5 69.922 (69.455)
Epoch: [11][4530/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.6414 (2.5213) Prec@1 41.016 (44.021) Prec@5 67.188 (69.455)
Epoch: [11][4540/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.5371 (2.5212) Prec@1 44.141 (44.021) Prec@5 69.922 (69.455)
Epoch: [11][4550/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.4254 (2.5211) Prec@1 44.531 (44.022) Prec@5 68.750 (69.457)
Epoch: [11][4560/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.3165 (2.5210) Prec@1 48.047 (44.022) Prec@5 72.266 (69.457)
Epoch: [11][4570/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.4844 (2.5211) Prec@1 41.797 (44.019) Prec@5 70.312 (69.456)
Epoch: [11][4580/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.3004 (2.5211) Prec@1 46.484 (44.019) Prec@5 74.219 (69.457)
Epoch: [11][4590/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4819 (2.5211) Prec@1 44.922 (44.018) Prec@5 68.359 (69.457)
Epoch: [11][4600/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4615 (2.5210) Prec@1 46.875 (44.021) Prec@5 70.703 (69.460)
Epoch: [11][4610/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.6748 (2.5210) Prec@1 42.188 (44.023) Prec@5 64.844 (69.458)
Epoch: [11][4620/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.6853 (2.5212) Prec@1 41.797 (44.021) Prec@5 65.234 (69.456)
Epoch: [11][4630/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.5139 (2.5211) Prec@1 43.359 (44.021) Prec@5 68.750 (69.456)
Epoch: [11][4640/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4353 (2.5210) Prec@1 48.047 (44.023) Prec@5 71.875 (69.459)
Epoch: [11][4650/5005] Time 0.448 (0.460) Data 0.000 (0.002) Loss 2.3427 (2.5210) Prec@1 45.703 (44.024) Prec@5 73.047 (69.459)
Epoch: [11][4660/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.5406 (2.5209) Prec@1 45.312 (44.029) Prec@5 69.531 (69.459)
Epoch: [11][4670/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.2254 (2.5208) Prec@1 48.828 (44.033) Prec@5 72.266 (69.459)
Epoch: [11][4680/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.5727 (2.5208) Prec@1 48.047 (44.033) Prec@5 69.531 (69.461)
Epoch: [11][4690/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.4440 (2.5207) Prec@1 43.750 (44.033) Prec@5 71.875 (69.462)
Epoch: [11][4700/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.3300 (2.5205) Prec@1 44.141 (44.034) Prec@5 72.656 (69.465)
Epoch: [11][4710/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.6420 (2.5204) Prec@1 41.406 (44.033) Prec@5 66.016 (69.465)
Epoch: [11][4720/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.6003 (2.5204) Prec@1 42.578 (44.034) Prec@5 67.969 (69.467)
Epoch: [11][4730/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.3781 (2.5204) Prec@1 45.312 (44.031) Prec@5 71.875 (69.466)
Epoch: [11][4740/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.2821 (2.5205) Prec@1 50.000 (44.033) Prec@5 73.438 (69.466)
Epoch: [11][4750/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.5550 (2.5203) Prec@1 44.531 (44.034) Prec@5 71.094 (69.469)
Epoch: [11][4760/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.3436 (2.5204) Prec@1 46.484 (44.035) Prec@5 71.094 (69.467)
Epoch: [11][4770/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 2.3704 (2.5204) Prec@1 47.656 (44.035) Prec@5 71.484 (69.469)
Epoch: [11][4780/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.7832 (2.5203) Prec@1 41.797 (44.035) Prec@5 63.281 (69.471)
Epoch: [11][4790/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 2.6273 (2.5201) Prec@1 42.578 (44.040) Prec@5 66.406 (69.472)
Epoch: [11][4800/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 2.5277 (2.5199) Prec@1 44.922 (44.043) Prec@5 69.141 (69.474)
Epoch: [11][4810/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 2.5783 (2.5199) Prec@1 44.922 (44.042) Prec@5 67.578 (69.472)
Epoch: [11][4820/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 2.4402 (2.5200) Prec@1 45.703 (44.037) Prec@5 70.703 (69.471)
Epoch: [11][4830/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.4268 (2.5199) Prec@1 46.484 (44.038) Prec@5 71.094 (69.475)
Epoch: [11][4840/5005] Time 0.455 (0.460) Data 0.000 (0.001) Loss 2.4650 (2.5198) Prec@1 47.656 (44.038) Prec@5 69.531 (69.476)
Epoch: [11][4850/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 2.6652 (2.5199) Prec@1 40.234 (44.038) Prec@5 69.922 (69.477)
Epoch: [11][4860/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 2.6947 (2.5199) Prec@1 38.281 (44.037) Prec@5 63.672 (69.475)
Epoch: [11][4870/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 2.2429 (2.5199) Prec@1 49.609 (44.037) Prec@5 74.219 (69.473)
Epoch: [11][4880/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 2.4359 (2.5199) Prec@1 42.969 (44.035) Prec@5 71.094 (69.474)
Epoch: [11][4890/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.4322 (2.5200) Prec@1 49.609 (44.034) Prec@5 70.312 (69.472)
Epoch: [11][4900/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 2.6013 (2.5201) Prec@1 42.188 (44.032) Prec@5 70.312 (69.470)
Epoch: [11][4910/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 2.4272 (2.5199) Prec@1 45.312 (44.036) Prec@5 67.578 (69.473)
Epoch: [11][4920/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.4179 (2.5199) Prec@1 45.312 (44.039) Prec@5 72.656 (69.474)
Epoch: [11][4930/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 2.5579 (2.5199) Prec@1 43.359 (44.040) Prec@5 68.359 (69.474)
Epoch: [11][4940/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 2.3489 (2.5198) Prec@1 49.219 (44.043) Prec@5 70.312 (69.475)
Epoch: [11][4950/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 2.4993 (2.5197) Prec@1 45.703 (44.044) Prec@5 66.406 (69.475)
Epoch: [11][4960/5005] Time 0.458 (0.460) Data 0.000 (0.001) Loss 2.3963 (2.5196) Prec@1 48.438 (44.047) Prec@5 71.875 (69.475)
Epoch: [11][4970/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.5017 (2.5195) Prec@1 45.703 (44.048) Prec@5 70.312 (69.477)
Epoch: [11][4980/5005] Time 0.452 (0.460) Data 0.000 (0.001) Loss 2.4028 (2.5196) Prec@1 45.312 (44.045) Prec@5 68.750 (69.475)
Epoch: [11][4990/5005] Time 0.452 (0.460) Data 0.000 (0.001) Loss 2.4098 (2.5195) Prec@1 48.047 (44.048) Prec@5 69.922 (69.476)
Epoch: [11][5000/5005] Time 0.455 (0.460) Data 0.000 (0.001) Loss 2.7509 (2.5196) Prec@1 42.188 (44.048) Prec@5 66.797 (69.473)
Test: [0/196] Time 5.303 (5.303) Loss 1.2245 (1.2245) Prec@1 71.484 (71.484) Prec@5 91.016 (91.016)
Test: [10/196] Time 0.152 (0.620) Loss 1.8961 (1.4986) Prec@1 56.641 (64.524) Prec@5 83.203 (85.369)
Test: [20/196] Time 0.152 (0.397) Loss 1.6280 (1.5085) Prec@1 65.234 (64.304) Prec@5 83.594 (84.914)
Test: [30/196] Time 0.148 (0.318) Loss 1.4225 (1.4956) Prec@1 63.672 (64.604) Prec@5 87.500 (85.106)
Test: [40/196] Time 0.153 (0.277) Loss 1.5591 (1.5423) Prec@1 56.641 (61.757) Prec@5 87.109 (85.366)
Test: [50/196] Time 0.152 (0.254) Loss 0.9123 (1.5215) Prec@1 79.688 (61.604) Prec@5 95.312 (86.022)
Test: [60/196] Time 0.148 (0.237) Loss 2.0327 (1.5208) Prec@1 47.656 (61.277) Prec@5 83.594 (86.258)
Test: [70/196] Time 0.148 (0.225) Loss 1.6168 (1.5096) Prec@1 61.328 (61.829) Prec@5 84.375 (86.367)
Test: [80/196] Time 0.147 (0.216) Loss 2.3708 (1.5338) Prec@1 45.703 (61.415) Prec@5 75.781 (86.000)
Test: [90/196] Time 0.149 (0.209) Loss 2.9585 (1.6172) Prec@1 37.500 (59.963) Prec@5 64.453 (84.748)
Test: [100/196] Time 0.151 (0.203) Loss 2.7068 (1.7015) Prec@1 34.375 (58.427) Prec@5 68.359 (83.412)
Test: [110/196] Time 0.149 (0.199) Loss 1.7861 (1.7276) Prec@1 61.719 (58.105) Prec@5 80.469 (82.890)
Test: [120/196] Time 0.151 (0.195) Loss 2.5896 (1.7691) Prec@1 45.703 (57.561) Prec@5 67.188 (82.157)
Test: [130/196] Time 0.154 (0.192) Loss 1.7183 (1.8080) Prec@1 60.156 (56.888) Prec@5 81.250 (81.596)
Test: [140/196] Time 0.150 (0.189) Loss 2.3062 (1.8474) Prec@1 49.219 (56.275) Prec@5 76.172 (80.873)
Test: [150/196] Time 0.155 (0.186) Loss 2.4444 (1.8885) Prec@1 53.125 (55.614) Prec@5 71.094 (80.171)
Test: [160/196] Time 0.148 (0.184) Loss 1.9531 (1.9173) Prec@1 58.203 (55.192) Prec@5 76.953 (79.712)
Test: [170/196] Time 0.148 (0.182) Loss 1.3078 (1.9447) Prec@1 66.797 (54.624) Prec@5 88.281 (79.276)
Test: [180/196] Time 0.148 (0.181) Loss 1.7781 (1.9635) Prec@1 51.172 (54.234) Prec@5 87.109 (79.023)
Test: [190/196] Time 0.148 (0.179) Loss 1.6915 (1.9533) Prec@1 57.422 (54.418) Prec@5 84.375 (79.184)
* Prec@1 54.686 Prec@5 79.318
Epoch: [12][0/5005] Time 4.347 (4.347) Data 4.163 (4.163) Loss 2.5212 (2.5212) Prec@1 46.094 (46.094) Prec@5 67.578 (67.578)
Epoch: [12][10/5005] Time 0.475 (0.818) Data 0.000 (0.420) Loss 2.6372 (2.5030) Prec@1 41.016 (43.963) Prec@5 66.406 (69.034)
Epoch: [12][20/5005] Time 0.477 (0.651) Data 0.000 (0.220) Loss 2.3905 (2.4940) Prec@1 49.609 (44.345) Prec@5 73.828 (69.457)
Epoch: [12][30/5005] Time 0.465 (0.591) Data 0.000 (0.149) Loss 2.2981 (2.4703) Prec@1 48.438 (44.745) Prec@5 70.703 (69.934)
Epoch: [12][40/5005] Time 0.460 (0.560) Data 0.000 (0.113) Loss 2.5825 (2.4583) Prec@1 40.625 (45.141) Prec@5 69.141 (70.160)
Epoch: [12][50/5005] Time 0.453 (0.540) Data 0.000 (0.091) Loss 2.3330 (2.4558) Prec@1 46.484 (45.052) Prec@5 72.656 (70.366)
Epoch: [12][60/5005] Time 0.460 (0.528) Data 0.000 (0.076) Loss 2.5254 (2.4649) Prec@1 47.656 (44.967) Prec@5 69.922 (70.248)
Epoch: [12][70/5005] Time 0.464 (0.519) Data 0.000 (0.065) Loss 2.7160 (2.4778) Prec@1 39.453 (44.861) Prec@5 67.578 (70.125)
Epoch: [12][80/5005] Time 0.476 (0.512) Data 0.000 (0.057) Loss 2.5916 (2.4785) Prec@1 45.312 (44.980) Prec@5 68.750 (70.134)
Epoch: [12][90/5005] Time 0.454 (0.507) Data 0.000 (0.051) Loss 2.6771 (2.4786) Prec@1 42.578 (44.883) Prec@5 67.578 (70.141)
Epoch: [12][100/5005] Time 0.471 (0.503) Data 0.000 (0.046) Loss 2.3327 (2.4690) Prec@1 48.438 (45.131) Prec@5 73.047 (70.282)
Epoch: [12][110/5005] Time 0.454 (0.499) Data 0.000 (0.042) Loss 2.2177 (2.4661) Prec@1 51.562 (45.253) Prec@5 74.219 (70.267)
Epoch: [12][120/5005] Time 0.471 (0.496) Data 0.000 (0.039) Loss 2.6513 (2.4703) Prec@1 43.750 (45.261) Prec@5 67.578 (70.300)
Epoch: [12][130/5005] Time 0.471 (0.494) Data 0.000 (0.036) Loss 2.5542 (2.4703) Prec@1 43.750 (45.223) Prec@5 68.750 (70.280)
Epoch: [12][140/5005] Time 0.452 (0.491) Data 0.000 (0.033) Loss 2.5436 (2.4681) Prec@1 42.578 (45.310) Prec@5 67.969 (70.304)
Epoch: [12][150/5005] Time 0.463 (0.490) Data 0.000 (0.031) Loss 2.3490 (2.4665) Prec@1 49.219 (45.325) Prec@5 73.828 (70.302)
Epoch: [12][160/5005] Time 0.471 (0.488) Data 0.000 (0.029) Loss 2.5462 (2.4677) Prec@1 43.359 (45.259) Prec@5 70.703 (70.310)
Epoch: [12][170/5005] Time 0.466 (0.487) Data 0.000 (0.027) Loss 2.5669 (2.4652) Prec@1 41.016 (45.244) Prec@5 69.531 (70.338)
Epoch: [12][180/5005] Time 0.454 (0.486) Data 0.000 (0.026) Loss 2.5701 (2.4645) Prec@1 44.531 (45.228) Prec@5 67.969 (70.382)
Epoch: [12][190/5005] Time 0.462 (0.484) Data 0.000 (0.025) Loss 2.5995 (2.4668) Prec@1 41.797 (45.122) Prec@5 66.406 (70.315)
Epoch: [12][200/5005] Time 0.454 (0.483) Data 0.000 (0.023) Loss 2.4916 (2.4661) Prec@1 46.094 (45.087) Prec@5 68.750 (70.332)
Epoch: [12][210/5005] Time 0.469 (0.482) Data 0.000 (0.022) Loss 2.4576 (2.4630) Prec@1 44.531 (45.066) Prec@5 71.484 (70.403)
Epoch: [12][220/5005] Time 0.470 (0.481) Data 0.000 (0.021) Loss 2.3946 (2.4615) Prec@1 48.047 (45.058) Prec@5 72.656 (70.429)
Epoch: [12][230/5005] Time 0.471 (0.481) Data 0.000 (0.020) Loss 2.6292 (2.4633) Prec@1 44.531 (45.062) Prec@5 69.531 (70.377)
Epoch: [12][240/5005] Time 0.454 (0.480) Data 0.000 (0.020) Loss 2.5391 (2.4621) Prec@1 43.359 (45.056) Prec@5 68.750 (70.419)
Epoch: [12][250/5005] Time 0.454 (0.479) Data 0.000 (0.019) Loss 2.5734 (2.4631) Prec@1 43.750 (45.011) Prec@5 67.578 (70.390)
Epoch: [12][260/5005] Time 0.456 (0.478) Data 0.000 (0.018) Loss 2.4567 (2.4618) Prec@1 43.750 (45.018) Prec@5 73.047 (70.416)
Epoch: [12][270/5005] Time 0.482 (0.478) Data 0.000 (0.017) Loss 2.7317 (2.4628) Prec@1 40.234 (45.040) Prec@5 67.578 (70.412)
Epoch: [12][280/5005] Time 0.471 (0.477) Data 0.000 (0.017) Loss 2.4391 (2.4630) Prec@1 44.922 (45.044) Prec@5 66.797 (70.392)
Epoch: [12][290/5005] Time 0.453 (0.477) Data 0.000 (0.016) Loss 2.3446 (2.4668) Prec@1 42.578 (44.962) Prec@5 73.047 (70.330)
Epoch: [12][300/5005] Time 0.465 (0.476) Data 0.000 (0.016) Loss 2.3692 (2.4659) Prec@1 44.922 (44.967) Prec@5 74.609 (70.383)
Epoch: [12][310/5005] Time 0.453 (0.476) Data 0.000 (0.015) Loss 2.4273 (2.4662) Prec@1 44.141 (44.967) Prec@5 70.703 (70.384)
Epoch: [12][320/5005] Time 0.462 (0.476) Data 0.000 (0.015) Loss 2.7856 (2.4677) Prec@1 41.016 (44.943) Prec@5 66.406 (70.355)
Epoch: [12][330/5005] Time 0.468 (0.475) Data 0.000 (0.014) Loss 2.4605 (2.4681) Prec@1 43.750 (44.950) Prec@5 71.094 (70.342)
Epoch: [12][340/5005] Time 0.480 (0.475) Data 0.001 (0.014) Loss 2.4938 (2.4686) Prec@1 47.656 (44.945) Prec@5 71.875 (70.324)
Epoch: [12][350/5005] Time 0.464 (0.475) Data 0.000 (0.014) Loss 2.6074 (2.4690) Prec@1 44.531 (44.960) Prec@5 68.750 (70.329)
Epoch: [12][360/5005] Time 0.463 (0.474) Data 0.000 (0.013) Loss 2.4956 (2.4676) Prec@1 46.875 (44.965) Prec@5 68.750 (70.345)
Epoch: [12][370/5005] Time 0.458 (0.474) Data 0.000 (0.013) Loss 2.5087 (2.4682) Prec@1 44.922 (44.956) Prec@5 67.188 (70.335)
Epoch: [12][380/5005] Time 0.463 (0.474) Data 0.000 (0.013) Loss 2.6572 (2.4703) Prec@1 40.234 (44.924) Prec@5 68.750 (70.315)
Epoch: [12][390/5005] Time 0.464 (0.473) Data 0.000 (0.012) Loss 2.3681 (2.4694) Prec@1 47.266 (44.951) Prec@5 73.828 (70.330)
Epoch: [12][400/5005] Time 0.454 (0.473) Data 0.000 (0.012) Loss 2.4677 (2.4706) Prec@1 44.531 (44.939) Prec@5 70.312 (70.311)
Epoch: [12][410/5005] Time 0.461 (0.473) Data 0.000 (0.012) Loss 2.4865 (2.4695) Prec@1 45.312 (44.943) Prec@5 69.531 (70.315)
Epoch: [12][420/5005] Time 0.474 (0.473) Data 0.000 (0.011) Loss 2.3280 (2.4704) Prec@1 50.391 (44.920) Prec@5 72.266 (70.302)
Epoch: [12][430/5005] Time 0.462 (0.473) Data 0.000 (0.011) Loss 2.3372 (2.4705) Prec@1 45.703 (44.901) Prec@5 75.000 (70.303)
Epoch: [12][440/5005] Time 0.454 (0.472) Data 0.000 (0.011) Loss 2.3016 (2.4692) Prec@1 50.000 (44.922) Prec@5 71.484 (70.330)
Epoch: [12][450/5005] Time 0.458 (0.472) Data 0.001 (0.011) Loss 2.6898 (2.4693) Prec@1 42.578 (44.894) Prec@5 68.750 (70.311)
Epoch: [12][460/5005] Time 0.474 (0.472) Data 0.000 (0.010) Loss 2.3831 (2.4688) Prec@1 43.750 (44.893) Prec@5 70.703 (70.335)
Epoch: [12][470/5005] Time 0.456 (0.472) Data 0.000 (0.010) Loss 2.5678 (2.4683) Prec@1 44.141 (44.895) Prec@5 67.188 (70.345)
Epoch: [12][480/5005] Time 0.459 (0.472) Data 0.000 (0.010) Loss 2.3711 (2.4696) Prec@1 45.312 (44.890) Prec@5 73.438 (70.338)
Epoch: [12][490/5005] Time 0.477 (0.471) Data 0.000 (0.010) Loss 2.5331 (2.4703) Prec@1 47.656 (44.897) Prec@5 68.359 (70.313)
Epoch: [12][500/5005] Time 0.443 (0.471) Data 0.000 (0.010) Loss 2.6013 (2.4702) Prec@1 45.312 (44.874) Prec@5 69.531 (70.326)
Epoch: [12][510/5005] Time 0.463 (0.471) Data 0.000 (0.009) Loss 2.6079 (2.4697) Prec@1 42.969 (44.871) Prec@5 67.188 (70.312)
Epoch: [12][520/5005] Time 0.469 (0.471) Data 0.000 (0.009) Loss 2.6079 (2.4708) Prec@1 44.531 (44.823) Prec@5 69.141 (70.292)
Epoch: [12][530/5005] Time 0.454 (0.471) Data 0.000 (0.009) Loss 2.6088 (2.4718) Prec@1 46.484 (44.835) Prec@5 66.406 (70.274)
Epoch: [12][540/5005] Time 0.462 (0.471) Data 0.000 (0.009) Loss 2.5771 (2.4707) Prec@1 44.922 (44.856) Prec@5 68.359 (70.304)
Epoch: [12][550/5005] Time 0.466 (0.471) Data 0.000 (0.009) Loss 2.4021 (2.4694) Prec@1 45.703 (44.891) Prec@5 69.922 (70.317)
Epoch: [12][560/5005] Time 0.454 (0.470) Data 0.000 (0.009) Loss 2.3027 (2.4702) Prec@1 48.047 (44.887) Prec@5 74.609 (70.322)
Epoch: [12][570/5005] Time 0.473 (0.470) Data 0.000 (0.009) Loss 2.3047 (2.4702) Prec@1 51.172 (44.900) Prec@5 71.875 (70.330)
Epoch: [12][580/5005] Time 0.451 (0.470) Data 0.000 (0.008) Loss 2.3357 (2.4711) Prec@1 46.484 (44.891) Prec@5 73.047 (70.312)
Epoch: [12][590/5005] Time 0.469 (0.470) Data 0.000 (0.008) Loss 2.6250 (2.4724) Prec@1 42.969 (44.874) Prec@5 70.312 (70.298)
Epoch: [12][600/5005] Time 0.457 (0.470) Data 0.000 (0.008) Loss 2.4488 (2.4717) Prec@1 43.750 (44.874) Prec@5 71.094 (70.316)
Epoch: [12][610/5005] Time 0.448 (0.470) Data 0.000 (0.008) Loss 2.5381 (2.4718) Prec@1 42.969 (44.883) Prec@5 65.625 (70.305)
Epoch: [12][620/5005] Time 0.470 (0.470) Data 0.000 (0.008) Loss 2.5583 (2.4727) Prec@1 47.656 (44.884) Prec@5 67.969 (70.290)
Epoch: [12][630/5005] Time 0.476 (0.470) Data 0.000 (0.008) Loss 2.3801 (2.4724) Prec@1 45.703 (44.885) Prec@5 72.656 (70.293)
Epoch: [12][640/5005] Time 0.475 (0.470) Data 0.000 (0.008) Loss 2.4183 (2.4728) Prec@1 44.922 (44.878) Prec@5 70.312 (70.280)
Epoch: [12][650/5005] Time 0.450 (0.469) Data 0.001 (0.008) Loss 2.3309 (2.4729) Prec@1 47.266 (44.884) Prec@5 76.953 (70.281)
Epoch: [12][660/5005] Time 0.467 (0.469) Data 0.000 (0.007) Loss 2.4157 (2.4721) Prec@1 48.438 (44.924) Prec@5 71.094 (70.291)
Epoch: [12][670/5005] Time 0.477 (0.469) Data 0.000 (0.007) Loss 2.6079 (2.4717) Prec@1 40.234 (44.945) Prec@5 69.531 (70.303)
Epoch: [12][680/5005] Time 0.461 (0.469) Data 0.000 (0.007) Loss 2.2379 (2.4710) Prec@1 49.609 (44.963) Prec@5 72.266 (70.300)
Epoch: [12][690/5005] Time 0.456 (0.469) Data 0.000 (0.007) Loss 2.5486 (2.4718) Prec@1 42.188 (44.938) Prec@5 68.750 (70.277)
Epoch: [12][700/5005] Time 0.455 (0.469) Data 0.000 (0.007) Loss 2.6239 (2.4716) Prec@1 42.578 (44.944) Prec@5 69.531 (70.285)
Epoch: [12][710/5005] Time 0.451 (0.469) Data 0.000 (0.007) Loss 2.4016 (2.4711) Prec@1 44.141 (44.950) Prec@5 73.047 (70.303)
Epoch: [12][720/5005] Time 0.469 (0.469) Data 0.000 (0.007) Loss 2.5486 (2.4703) Prec@1 41.406 (44.952) Prec@5 69.141 (70.308)
Epoch: [12][730/5005] Time 0.476 (0.469) Data 0.000 (0.007) Loss 2.2947 (2.4694) Prec@1 43.750 (44.962) Prec@5 73.047 (70.322)
Epoch: [12][740/5005] Time 0.472 (0.469) Data 0.000 (0.007) Loss 2.5622 (2.4693) Prec@1 42.188 (44.971) Prec@5 67.578 (70.326)
Epoch: [12][750/5005] Time 0.476 (0.469) Data 0.000 (0.007) Loss 2.3474 (2.4702) Prec@1 47.266 (44.954) Prec@5 73.047 (70.307)
Epoch: [12][760/5005] Time 0.466 (0.469) Data 0.000 (0.007) Loss 2.3575 (2.4706) Prec@1 46.484 (44.938) Prec@5 74.219 (70.305)
Epoch: [12][770/5005] Time 0.472 (0.469) Data 0.000 (0.006) Loss 2.5864 (2.4700) Prec@1 42.969 (44.948) Prec@5 69.531 (70.316)
Epoch: [12][780/5005] Time 0.479 (0.469) Data 0.000 (0.006) Loss 2.4760 (2.4697) Prec@1 41.016 (44.956) Prec@5 70.312 (70.326)
Epoch: [12][790/5005] Time 0.455 (0.469) Data 0.000 (0.006) Loss 2.5525 (2.4701) Prec@1 44.922 (44.952) Prec@5 72.266 (70.323)
Epoch: [12][800/5005] Time 0.470 (0.468) Data 0.000 (0.006) Loss 2.5189 (2.4694) Prec@1 40.234 (44.961) Prec@5 69.531 (70.336)
Epoch: [12][810/5005] Time 0.456 (0.468) Data 0.000 (0.006) Loss 2.5443 (2.4693) Prec@1 46.484 (44.967) Prec@5 68.750 (70.338)
Epoch: [12][820/5005] Time 0.474 (0.468) Data 0.000 (0.006) Loss 2.2487 (2.4690) Prec@1 47.266 (44.963) Prec@5 74.219 (70.343)
Epoch: [12][830/5005] Time 0.456 (0.468) Data 0.000 (0.006) Loss 2.5354 (2.4696) Prec@1 45.703 (44.963) Prec@5 67.188 (70.341)
Epoch: [12][840/5005] Time 0.454 (0.468) Data 0.000 (0.006) Loss 2.2769 (2.4700) Prec@1 52.344 (44.967) Prec@5 70.312 (70.329)
Epoch: [12][850/5005] Time 0.448 (0.468) Data 0.000 (0.006) Loss 2.2795 (2.4697) Prec@1 46.875 (44.960) Prec@5 78.516 (70.340)
Epoch: [12][860/5005] Time 0.480 (0.468) Data 0.000 (0.006) Loss 2.4904 (2.4706) Prec@1 41.016 (44.933) Prec@5 66.016 (70.318)
Epoch: [12][870/5005] Time 0.454 (0.468) Data 0.000 (0.006) Loss 2.6439 (2.4711) Prec@1 41.406 (44.926) Prec@5 64.844 (70.306)
Epoch: [12][880/5005] Time 0.451 (0.468) Data 0.000 (0.006) Loss 2.5603 (2.4708) Prec@1 46.484 (44.926) Prec@5 67.188 (70.303)
Epoch: [12][890/5005] Time 0.458 (0.468) Data 0.000 (0.006) Loss 2.0503 (2.4703) Prec@1 51.953 (44.940) Prec@5 76.172 (70.318)
Epoch: [12][900/5005] Time 0.452 (0.468) Data 0.000 (0.006) Loss 2.3493 (2.4702) Prec@1 46.484 (44.950) Prec@5 70.312 (70.308)
Epoch: [12][910/5005] Time 0.452 (0.468) Data 0.000 (0.006) Loss 2.5996 (2.4706) Prec@1 41.406 (44.944) Prec@5 69.531 (70.303)
Epoch: [12][920/5005] Time 0.449 (0.468) Data 0.000 (0.005) Loss 2.6590 (2.4700) Prec@1 42.969 (44.952) Prec@5 68.750 (70.314)
Epoch: [12][930/5005] Time 0.460 (0.468) Data 0.000 (0.005) Loss 2.4158 (2.4697) Prec@1 44.531 (44.960) Prec@5 69.141 (70.325)
Epoch: [12][940/5005] Time 0.467 (0.468) Data 0.000 (0.005) Loss 2.6952 (2.4708) Prec@1 41.016 (44.943) Prec@5 67.578 (70.298)
Epoch: [12][950/5005] Time 0.452 (0.468) Data 0.000 (0.005) Loss 2.6705 (2.4718) Prec@1 45.312 (44.935) Prec@5 68.750 (70.286)
Epoch: [12][960/5005] Time 0.463 (0.468) Data 0.000 (0.005) Loss 2.6523 (2.4723) Prec@1 40.625 (44.920) Prec@5 68.750 (70.270)
Epoch: [12][970/5005] Time 0.480 (0.468) Data 0.000 (0.005) Loss 2.3502 (2.4717) Prec@1 44.531 (44.926) Prec@5 72.266 (70.272)
Epoch: [12][980/5005] Time 0.458 (0.467) Data 0.000 (0.005) Loss 2.3708 (2.4708) Prec@1 47.656 (44.948) Prec@5 71.484 (70.284)
Epoch: [12][990/5005] Time 0.461 (0.467) Data 0.000 (0.005) Loss 2.6227 (2.4709) Prec@1 43.359 (44.951) Prec@5 68.359 (70.291)
Epoch: [12][1000/5005] Time 0.462 (0.467) Data 0.000 (0.005) Loss 2.1899 (2.4713) Prec@1 48.438 (44.937) Prec@5 73.828 (70.277)
Epoch: [12][1010/5005] Time 0.464 (0.467) Data 0.000 (0.005) Loss 2.7473 (2.4712) Prec@1 47.266 (44.952) Prec@5 64.453 (70.273)
Epoch: [12][1020/5005] Time 0.452 (0.467) Data 0.000 (0.005) Loss 2.5558 (2.4711) Prec@1 41.797 (44.953) Prec@5 66.406 (70.275)
Epoch: [12][1030/5005] Time 0.455 (0.467) Data 0.000 (0.005) Loss 2.5210 (2.4709) Prec@1 47.266 (44.969) Prec@5 70.703 (70.281)
Epoch: [12][1040/5005] Time 0.462 (0.467) Data 0.000 (0.005) Loss 2.1365 (2.4702) Prec@1 53.516 (44.990) Prec@5 72.656 (70.286)
Epoch: [12][1050/5005] Time 0.462 (0.467) Data 0.000 (0.005) Loss 2.3987 (2.4693) Prec@1 48.047 (45.009) Prec@5 70.703 (70.307)
Epoch: [12][1060/5005] Time 0.461 (0.467) Data 0.000 (0.005) Loss 2.5896 (2.4689) Prec@1 42.578 (45.004) Prec@5 67.188 (70.306)
Epoch: [12][1070/5005] Time 0.461 (0.467) Data 0.000 (0.005) Loss 2.6159 (2.4679) Prec@1 36.328 (45.021) Prec@5 67.969 (70.321)
Epoch: [12][1080/5005] Time 0.451 (0.467) Data 0.000 (0.005) Loss 2.3740 (2.4681) Prec@1 47.266 (45.019) Prec@5 71.094 (70.313)
Epoch: [12][1090/5005] Time 0.462 (0.467) Data 0.000 (0.005) Loss 2.3161 (2.4679) Prec@1 46.484 (45.014) Prec@5 72.656 (70.307)
Epoch: [12][1100/5005] Time 0.452 (0.467) Data 0.000 (0.005) Loss 2.4058 (2.4677) Prec@1 42.969 (45.015) Prec@5 70.703 (70.309)
Epoch: [12][1110/5005] Time 0.456 (0.467) Data 0.000 (0.005) Loss 2.3893 (2.4668) Prec@1 48.438 (45.038) Prec@5 72.656 (70.322)
Epoch: [12][1120/5005] Time 0.461 (0.466) Data 0.000 (0.005) Loss 2.4601 (2.4665) Prec@1 43.359 (45.042) Prec@5 71.094 (70.338)
Epoch: [12][1130/5005] Time 0.462 (0.466) Data 0.000 (0.005) Loss 2.4972 (2.4659) Prec@1 46.094 (45.056) Prec@5 69.141 (70.353)
Epoch: [12][1140/5005] Time 0.460 (0.466) Data 0.000 (0.004) Loss 2.3051 (2.4654) Prec@1 48.047 (45.070) Prec@5 72.656 (70.360)
Epoch: [12][1150/5005] Time 0.458 (0.466) Data 0.000 (0.004) Loss 2.4677 (2.4656) Prec@1 44.141 (45.058) Prec@5 73.047 (70.370)
Epoch: [12][1160/5005] Time 0.455 (0.466) Data 0.000 (0.004) Loss 2.2713 (2.4661) Prec@1 47.266 (45.048) Prec@5 71.094 (70.357)
Epoch: [12][1170/5005] Time 0.458 (0.466) Data 0.000 (0.004) Loss 2.3262 (2.4658) Prec@1 43.359 (45.051) Prec@5 72.266 (70.359)
Epoch: [12][1180/5005] Time 0.461 (0.466) Data 0.000 (0.004) Loss 2.4114 (2.4662) Prec@1 44.922 (45.041) Prec@5 70.703 (70.347)
Epoch: [12][1190/5005] Time 0.457 (0.466) Data 0.000 (0.004) Loss 2.5706 (2.4658) Prec@1 43.359 (45.057) Prec@5 70.312 (70.353)
Epoch: [12][1200/5005] Time 0.460 (0.466) Data 0.000 (0.004) Loss 2.4052 (2.4663) Prec@1 48.828 (45.058) Prec@5 73.047 (70.344)
Epoch: [12][1210/5005] Time 0.456 (0.466) Data 0.000 (0.004) Loss 2.6026 (2.4663) Prec@1 44.922 (45.065) Prec@5 69.922 (70.349)
Epoch: [12][1220/5005] Time 0.457 (0.466) Data 0.000 (0.004) Loss 2.4676 (2.4666) Prec@1 45.312 (45.060) Prec@5 70.703 (70.346)
Epoch: [12][1230/5005] Time 0.458 (0.466) Data 0.000 (0.004) Loss 2.3413 (2.4656) Prec@1 43.750 (45.074) Prec@5 70.703 (70.359)
Epoch: [12][1240/5005] Time 0.458 (0.466) Data 0.000 (0.004) Loss 2.4541 (2.4660) Prec@1 44.531 (45.074) Prec@5 72.266 (70.353)
Epoch: [12][1250/5005] Time 0.462 (0.466) Data 0.000 (0.004) Loss 2.5702 (2.4658) Prec@1 42.969 (45.072) Prec@5 69.141 (70.353)
Epoch: [12][1260/5005] Time 0.451 (0.466) Data 0.000 (0.004) Loss 2.2309 (2.4655) Prec@1 52.734 (45.081) Prec@5 72.656 (70.358)
Epoch: [12][1270/5005] Time 0.454 (0.466) Data 0.000 (0.004) Loss 2.5751 (2.4661) Prec@1 40.625 (45.075) Prec@5 69.141 (70.346)
Epoch: [12][1280/5005] Time 0.461 (0.466) Data 0.000 (0.004) Loss 2.3463 (2.4660) Prec@1 50.391 (45.084) Prec@5 72.656 (70.351)
Epoch: [12][1290/5005] Time 0.463 (0.465) Data 0.000 (0.004) Loss 2.2865 (2.4656) Prec@1 44.922 (45.095) Prec@5 72.656 (70.355)
Epoch: [12][1300/5005] Time 0.464 (0.465) Data 0.000 (0.004) Loss 2.6122 (2.4652) Prec@1 41.016 (45.102) Prec@5 70.312 (70.361)
Epoch: [12][1310/5005] Time 0.463 (0.465) Data 0.000 (0.004) Loss 2.4433 (2.4649) Prec@1 44.141 (45.106) Prec@5 71.094 (70.362)
Epoch: [12][1320/5005] Time 0.459 (0.465) Data 0.000 (0.004) Loss 2.4143 (2.4646) Prec@1 46.094 (45.113) Prec@5 72.266 (70.365)
Epoch: [12][1330/5005] Time 0.454 (0.465) Data 0.000 (0.004) Loss 2.8733 (2.4653) Prec@1 37.891 (45.100) Prec@5 66.406 (70.355)
Epoch: [12][1340/5005] Time 0.460 (0.465) Data 0.000 (0.004) Loss 2.5183 (2.4650) Prec@1 43.750 (45.104) Prec@5 69.531 (70.358)
Epoch: [12][1350/5005] Time 0.457 (0.465) Data 0.000 (0.004) Loss 2.3787 (2.4648) Prec@1 49.219 (45.105) Prec@5 71.484 (70.360)
Epoch: [12][1360/5005] Time 0.460 (0.465) Data 0.000 (0.004) Loss 2.4506 (2.4643) Prec@1 44.922 (45.117) Prec@5 69.922 (70.372)
Epoch: [12][1370/5005] Time 0.457 (0.465) Data 0.000 (0.004) Loss 2.3209 (2.4642) Prec@1 48.438 (45.113) Prec@5 72.656 (70.374)
Epoch: [12][1380/5005] Time 0.457 (0.465) Data 0.001 (0.004) Loss 2.2634 (2.4640) Prec@1 51.953 (45.123) Prec@5 71.094 (70.379)
Epoch: [12][1390/5005] Time 0.460 (0.465) Data 0.000 (0.004) Loss 2.5067 (2.4644) Prec@1 47.266 (45.121) Prec@5 67.578 (70.377)
Epoch: [12][1400/5005] Time 0.461 (0.465) Data 0.000 (0.004) Loss 2.5105 (2.4646) Prec@1 42.969 (45.122) Prec@5 71.875 (70.379)
Epoch: [12][1410/5005] Time 0.463 (0.465) Data 0.000 (0.004) Loss 2.5027 (2.4643) Prec@1 43.359 (45.130) Prec@5 66.406 (70.381)
Epoch: [12][1420/5005] Time 0.453 (0.465) Data 0.000 (0.004) Loss 2.3727 (2.4642) Prec@1 49.219 (45.131) Prec@5 71.875 (70.383)
Epoch: [12][1430/5005] Time 0.461 (0.465) Data 0.000 (0.004) Loss 2.3559 (2.4642) Prec@1 46.875 (45.129) Prec@5 75.000 (70.388)
Epoch: [12][1440/5005] Time 0.462 (0.465) Data 0.000 (0.004) Loss 2.5321 (2.4649) Prec@1 42.188 (45.116) Prec@5 67.188 (70.370)
Epoch: [12][1450/5005] Time 0.455 (0.465) Data 0.000 (0.004) Loss 2.1420 (2.4646) Prec@1 46.484 (45.116) Prec@5 73.828 (70.372)
Epoch: [12][1460/5005] Time 0.455 (0.465) Data 0.000 (0.004) Loss 2.3219 (2.4644) Prec@1 46.875 (45.118) Prec@5 72.656 (70.373)
Epoch: [12][1470/5005] Time 0.456 (0.465) Data 0.000 (0.004) Loss 2.2646 (2.4645) Prec@1 50.000 (45.116) Prec@5 72.266 (70.363)
Epoch: [12][1480/5005] Time 0.462 (0.465) Data 0.000 (0.004) Loss 2.4795 (2.4650) Prec@1 42.969 (45.110) Prec@5 71.484 (70.352)
Epoch: [12][1490/5005] Time 0.461 (0.465) Data 0.000 (0.004) Loss 2.4392 (2.4650) Prec@1 42.969 (45.108) Prec@5 70.703 (70.350)
Epoch: [12][1500/5005] Time 0.456 (0.465) Data 0.000 (0.004) Loss 2.6350 (2.4652) Prec@1 42.578 (45.107) Prec@5 66.406 (70.345)
Epoch: [12][1510/5005] Time 0.456 (0.465) Data 0.000 (0.003) Loss 2.6429 (2.4653) Prec@1 42.188 (45.108) Prec@5 70.312 (70.347)
Epoch: [12][1520/5005] Time 0.460 (0.465) Data 0.000 (0.003) Loss 2.4528 (2.4656) Prec@1 46.875 (45.104) Prec@5 72.266 (70.344)
Epoch: [12][1530/5005] Time 0.457 (0.464) Data 0.000 (0.003) Loss 2.5319 (2.4656) Prec@1 44.141 (45.100) Prec@5 67.969 (70.341)
Epoch: [12][1540/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.2724 (2.4655) Prec@1 47.266 (45.101) Prec@5 75.781 (70.345)
Epoch: [12][1550/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 2.3915 (2.4660) Prec@1 47.656 (45.100) Prec@5 73.828 (70.344)
Epoch: [12][1560/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 2.4234 (2.4663) Prec@1 46.875 (45.092) Prec@5 70.703 (70.340)
Epoch: [12][1570/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 2.3575 (2.4664) Prec@1 43.750 (45.093) Prec@5 73.828 (70.344)
Epoch: [12][1580/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.5042 (2.4661) Prec@1 46.484 (45.098) Prec@5 67.969 (70.348)
Epoch: [12][1590/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 2.2420 (2.4658) Prec@1 46.875 (45.110) Prec@5 76.562 (70.359)
Epoch: [12][1600/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 2.5131 (2.4662) Prec@1 45.312 (45.109) Prec@5 72.656 (70.353)
Epoch: [12][1610/5005] Time 0.463 (0.464) Data 0.000 (0.003) Loss 2.1730 (2.4656) Prec@1 48.828 (45.117) Prec@5 73.438 (70.357)
Epoch: [12][1620/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.3372 (2.4658) Prec@1 44.141 (45.110) Prec@5 73.047 (70.354)
Epoch: [12][1630/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.2431 (2.4656) Prec@1 47.656 (45.114) Prec@5 73.438 (70.355)
Epoch: [12][1640/5005] Time 0.463 (0.464) Data 0.000 (0.003) Loss 2.4249 (2.4657) Prec@1 44.922 (45.114) Prec@5 71.094 (70.349)
Epoch: [12][1650/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 2.2369 (2.4656) Prec@1 49.219 (45.115) Prec@5 73.438 (70.344)
Epoch: [12][1660/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.4941 (2.4656) Prec@1 44.141 (45.116) Prec@5 70.703 (70.344)
Epoch: [12][1670/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.5305 (2.4656) Prec@1 40.234 (45.112) Prec@5 67.578 (70.342)
Epoch: [12][1680/5005] Time 0.458 (0.464) Data 0.000 (0.003) Loss 2.2941 (2.4652) Prec@1 51.562 (45.122) Prec@5 71.875 (70.350)
Epoch: [12][1690/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.2430 (2.4652) Prec@1 51.953 (45.120) Prec@5 73.047 (70.350)
Epoch: [12][1700/5005] Time 0.456 (0.464) Data 0.000 (0.003) Loss 2.1714 (2.4655) Prec@1 51.172 (45.112) Prec@5 75.000 (70.346)
Epoch: [12][1710/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.3876 (2.4653) Prec@1 53.125 (45.120) Prec@5 72.266 (70.352)
Epoch: [12][1720/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.7254 (2.4655) Prec@1 37.500 (45.107) Prec@5 65.234 (70.347)
Epoch: [12][1730/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 2.5813 (2.4655) Prec@1 45.703 (45.110) Prec@5 69.922 (70.348)
Epoch: [12][1740/5005] Time 0.464 (0.464) Data 0.000 (0.003) Loss 2.3473 (2.4654) Prec@1 49.219 (45.118) Prec@5 69.922 (70.351)
Epoch: [12][1750/5005] Time 0.455 (0.464) Data 0.000 (0.003) Loss 2.4035 (2.4653) Prec@1 46.484 (45.120) Prec@5 69.531 (70.354)
Epoch: [12][1760/5005] Time 0.453 (0.464) Data 0.000 (0.003) Loss 2.5289 (2.4652) Prec@1 44.531 (45.122) Prec@5 71.484 (70.351)
Epoch: [12][1770/5005] Time 0.460 (0.464) Data 0.001 (0.003) Loss 2.2787 (2.4650) Prec@1 46.484 (45.129) Prec@5 75.391 (70.351)
Epoch: [12][1780/5005] Time 0.463 (0.464) Data 0.000 (0.003) Loss 2.6016 (2.4645) Prec@1 47.266 (45.135) Prec@5 68.750 (70.356)
Epoch: [12][1790/5005] Time 0.460 (0.464) Data 0.000 (0.003) Loss 2.4723 (2.4644) Prec@1 44.531 (45.135) Prec@5 68.359 (70.358)
Epoch: [12][1800/5005] Time 0.465 (0.464) Data 0.000 (0.003) Loss 2.2189 (2.4641) Prec@1 47.656 (45.143) Prec@5 76.562 (70.364)
Epoch: [12][1810/5005] Time 0.459 (0.464) Data 0.000 (0.003) Loss 2.5434 (2.4640) Prec@1 45.312 (45.142) Prec@5 69.922 (70.365)
Epoch: [12][1820/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.6003 (2.4641) Prec@1 41.406 (45.136) Prec@5 64.062 (70.361)
Epoch: [12][1830/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.5414 (2.4636) Prec@1 43.750 (45.145) Prec@5 67.969 (70.371)
Epoch: [12][1840/5005] Time 0.462 (0.464) Data 0.000 (0.003) Loss 2.2831 (2.4637) Prec@1 48.828 (45.140) Prec@5 73.047 (70.365)
Epoch: [12][1850/5005] Time 0.461 (0.464) Data 0.000 (0.003) Loss 2.1508 (2.4634) Prec@1 50.781 (45.136) Prec@5 75.000 (70.369)
Epoch: [12][1860/5005] Time 0.463 (0.463) Data 0.000 (0.003) Loss 2.3641 (2.4635) Prec@1 47.656 (45.133) Prec@5 71.484 (70.367)
Epoch: [12][1870/5005] Time 0.453 (0.463) Data 0.000 (0.003) Loss 2.3405 (2.4637) Prec@1 45.312 (45.130) Prec@5 74.219 (70.365)
Epoch: [12][1880/5005] Time 0.450 (0.463) Data 0.000 (0.003) Loss 2.4714 (2.4640) Prec@1 43.750 (45.123) Prec@5 69.922 (70.361)
Epoch: [12][1890/5005] Time 0.461 (0.463) Data 0.000 (0.003) Loss 2.6207 (2.4640) Prec@1 48.047 (45.126) Prec@5 66.016 (70.363)
Epoch: [12][1900/5005] Time 0.461 (0.463) Data 0.000 (0.003) Loss 2.5928 (2.4639) Prec@1 43.750 (45.125) Prec@5 68.359 (70.366)
Epoch: [12][1910/5005] Time 0.457 (0.463) Data 0.000 (0.003) Loss 2.4406 (2.4635) Prec@1 46.484 (45.134) Prec@5 70.312 (70.377)
Epoch: [12][1920/5005] Time 0.454 (0.463) Data 0.000 (0.003) Loss 2.3707 (2.4639) Prec@1 46.094 (45.124) Prec@5 75.391 (70.373)
Epoch: [12][1930/5005] Time 0.460 (0.463) Data 0.000 (0.003) Loss 2.3751 (2.4640) Prec@1 46.094 (45.126) Prec@5 69.531 (70.369)
Epoch: [12][1940/5005] Time 0.457 (0.463) Data 0.000 (0.003) Loss 2.2408 (2.4640) Prec@1 47.656 (45.129) Prec@5 74.219 (70.373)
Epoch: [12][1950/5005] Time 0.451 (0.463) Data 0.000 (0.003) Loss 2.2669 (2.4643) Prec@1 46.875 (45.116) Prec@5 73.047 (70.367)
Epoch: [12][1960/5005] Time 0.451 (0.463) Data 0.000 (0.003) Loss 2.7179 (2.4642) Prec@1 39.844 (45.119) Prec@5 68.359 (70.368)
Epoch: [12][1970/5005] Time 0.462 (0.463) Data 0.000 (0.003) Loss 2.4613 (2.4644) Prec@1 47.266 (45.115) Prec@5 71.484 (70.362)
Epoch: [12][1980/5005] Time 0.466 (0.463) Data 0.000 (0.003) Loss 2.3364 (2.4641) Prec@1 48.828 (45.118) Prec@5 72.656 (70.367)
Epoch: [12][1990/5005] Time 0.461 (0.463) Data 0.000 (0.003) Loss 2.4126 (2.4644) Prec@1 45.703 (45.114) Prec@5 69.922 (70.362)
Epoch: [12][2000/5005] Time 0.464 (0.463) Data 0.000 (0.003) Loss 2.2530 (2.4644) Prec@1 51.953 (45.118) Prec@5 73.047 (70.362)
Epoch: [12][2010/5005] Time 0.465 (0.463) Data 0.000 (0.003) Loss 2.4025 (2.4644) Prec@1 44.531 (45.118) Prec@5 68.750 (70.360)
Epoch: [12][2020/5005] Time 0.458 (0.463) Data 0.000 (0.003) Loss 2.5520 (2.4644) Prec@1 43.359 (45.122) Prec@5 67.578 (70.357)
Epoch: [12][2030/5005] Time 0.458 (0.463) Data 0.000 (0.003) Loss 2.6175 (2.4644) Prec@1 44.531 (45.129) Prec@5 64.844 (70.356)
Epoch: [12][2040/5005] Time 0.467 (0.463) Data 0.000 (0.003) Loss 2.5520 (2.4640) Prec@1 44.922 (45.134) Prec@5 69.141 (70.364)
Epoch: [12][2050/5005] Time 0.459 (0.463) Data 0.000 (0.003) Loss 2.7239 (2.4644) Prec@1 42.188 (45.129) Prec@5 61.328 (70.354)
Epoch: [12][2060/5005] Time 0.456 (0.463) Data 0.000 (0.003) Loss 2.8465 (2.4648) Prec@1 37.109 (45.114) Prec@5 64.844 (70.345)
Epoch: [12][2070/5005] Time 0.456 (0.463) Data 0.000 (0.003) Loss 2.3690 (2.4646) Prec@1 44.141 (45.116) Prec@5 74.219 (70.351)
Epoch: [12][2080/5005] Time 0.461 (0.463) Data 0.000 (0.003) Loss 2.3180 (2.4647) Prec@1 47.656 (45.114) Prec@5 73.047 (70.349)
Epoch: [12][2090/5005] Time 0.461 (0.463) Data 0.000 (0.003) Loss 2.4777 (2.4650) Prec@1 47.656 (45.108) Prec@5 69.141 (70.342)
Epoch: [12][2100/5005] Time 0.455 (0.463) Data 0.000 (0.003) Loss 2.1872 (2.4647) Prec@1 49.219 (45.112) Prec@5 74.219 (70.349)
Epoch: [12][2110/5005] Time 0.459 (0.463) Data 0.000 (0.003) Loss 2.4382 (2.4650) Prec@1 43.359 (45.108) Prec@5 69.922 (70.344)
Epoch: [12][2120/5005] Time 0.460 (0.463) Data 0.000 (0.003) Loss 2.3954 (2.4651) Prec@1 44.531 (45.105) Prec@5 70.703 (70.340)
Epoch: [12][2130/5005] Time 0.467 (0.463) Data 0.000 (0.003) Loss 2.5651 (2.4653) Prec@1 47.656 (45.108) Prec@5 69.141 (70.337)
Epoch: [12][2140/5005] Time 0.461 (0.463) Data 0.001 (0.003) Loss 2.4258 (2.4649) Prec@1 48.438 (45.117) Prec@5 72.266 (70.347)
Epoch: [12][2150/5005] Time 0.463 (0.463) Data 0.000 (0.003) Loss 2.4246 (2.4645) Prec@1 43.359 (45.121) Prec@5 70.703 (70.354)
Epoch: [12][2160/5005] Time 0.465 (0.463) Data 0.000 (0.003) Loss 2.2745 (2.4646) Prec@1 44.531 (45.119) Prec@5 71.484 (70.351)
Epoch: [12][2170/5005] Time 0.469 (0.463) Data 0.000 (0.003) Loss 2.6331 (2.4647) Prec@1 41.406 (45.117) Prec@5 64.844 (70.346)
Epoch: [12][2180/5005] Time 0.461 (0.463) Data 0.000 (0.003) Loss 2.7032 (2.4645) Prec@1 41.406 (45.126) Prec@5 69.922 (70.351)
Epoch: [12][2190/5005] Time 0.463 (0.463) Data 0.000 (0.003) Loss 2.4674 (2.4648) Prec@1 41.016 (45.120) Prec@5 73.828 (70.349)
Epoch: [12][2200/5005] Time 0.454 (0.463) Data 0.000 (0.003) Loss 2.4308 (2.4647) Prec@1 42.578 (45.118) Prec@5 71.094 (70.355)
Epoch: [12][2210/5005] Time 0.460 (0.463) Data 0.000 (0.003) Loss 2.3547 (2.4649) Prec@1 47.266 (45.112) Prec@5 69.141 (70.352)
Epoch: [12][2220/5005] Time 0.461 (0.463) Data 0.000 (0.003) Loss 2.3658 (2.4650) Prec@1 48.047 (45.108) Prec@5 70.312 (70.350)
Epoch: [12][2230/5005] Time 0.459 (0.463) Data 0.000 (0.003) Loss 2.4520 (2.4648) Prec@1 43.359 (45.107) Prec@5 71.094 (70.355)
Epoch: [12][2240/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.4975 (2.4645) Prec@1 39.844 (45.110) Prec@5 69.531 (70.357)
Epoch: [12][2250/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.4941 (2.4646) Prec@1 44.922 (45.107) Prec@5 69.922 (70.356)
Epoch: [12][2260/5005] Time 0.457 (0.463) Data 0.000 (0.002) Loss 2.4163 (2.4643) Prec@1 46.094 (45.109) Prec@5 71.094 (70.360)
Epoch: [12][2270/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.2870 (2.4642) Prec@1 48.438 (45.111) Prec@5 70.312 (70.364)
Epoch: [12][2280/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.2343 (2.4639) Prec@1 50.781 (45.120) Prec@5 73.047 (70.364)
Epoch: [12][2290/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.4375 (2.4639) Prec@1 44.141 (45.119) Prec@5 69.531 (70.367)
Epoch: [12][2300/5005] Time 0.465 (0.463) Data 0.000 (0.002) Loss 2.3290 (2.4640) Prec@1 47.656 (45.116) Prec@5 71.484 (70.364)
Epoch: [12][2310/5005] Time 0.462 (0.463) Data 0.000 (0.002) Loss 2.6011 (2.4640) Prec@1 46.484 (45.118) Prec@5 69.141 (70.363)
Epoch: [12][2320/5005] Time 0.456 (0.463) Data 0.000 (0.002) Loss 2.5281 (2.4640) Prec@1 42.578 (45.116) Prec@5 71.484 (70.365)
Epoch: [12][2330/5005] Time 0.459 (0.463) Data 0.000 (0.002) Loss 2.5776 (2.4642) Prec@1 42.969 (45.116) Prec@5 70.312 (70.360)
Epoch: [12][2340/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.5710 (2.4642) Prec@1 45.703 (45.118) Prec@5 68.359 (70.363)
Epoch: [12][2350/5005] Time 0.466 (0.463) Data 0.000 (0.002) Loss 2.5029 (2.4644) Prec@1 44.141 (45.112) Prec@5 68.750 (70.359)
Epoch: [12][2360/5005] Time 0.460 (0.463) Data 0.000 (0.002) Loss 2.6130 (2.4646) Prec@1 44.531 (45.109) Prec@5 67.188 (70.355)
Epoch: [12][2370/5005] Time 0.455 (0.463) Data 0.000 (0.002) Loss 2.3823 (2.4647) Prec@1 47.266 (45.107) Prec@5 72.656 (70.357)
Epoch: [12][2380/5005] Time 0.461 (0.463) Data 0.000 (0.002) Loss 2.6004 (2.4649) Prec@1 41.406 (45.104) Prec@5 69.531 (70.354)
Epoch: [12][2390/5005] Time 0.451 (0.462) Data 0.000 (0.002) Loss 2.5464 (2.4646) Prec@1 43.750 (45.111) Prec@5 68.750 (70.356)
Epoch: [12][2400/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.6166 (2.4646) Prec@1 44.922 (45.111) Prec@5 65.234 (70.354)
Epoch: [12][2410/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.2466 (2.4643) Prec@1 50.000 (45.121) Prec@5 71.484 (70.360)
Epoch: [12][2420/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.3246 (2.4643) Prec@1 47.656 (45.118) Prec@5 72.656 (70.361)
Epoch: [12][2430/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.3175 (2.4641) Prec@1 49.219 (45.118) Prec@5 71.484 (70.364)
Epoch: [12][2440/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.4892 (2.4640) Prec@1 48.828 (45.122) Prec@5 71.094 (70.373)
Epoch: [12][2450/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.5532 (2.4641) Prec@1 43.359 (45.117) Prec@5 68.750 (70.371)
Epoch: [12][2460/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.3020 (2.4638) Prec@1 46.094 (45.121) Prec@5 73.828 (70.374)
Epoch: [12][2470/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.4249 (2.4639) Prec@1 47.266 (45.120) Prec@5 71.875 (70.372)
Epoch: [12][2480/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.5044 (2.4642) Prec@1 44.141 (45.113) Prec@5 70.703 (70.367)
Epoch: [12][2490/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.4327 (2.4643) Prec@1 46.484 (45.111) Prec@5 73.438 (70.365)
Epoch: [12][2500/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 2.4481 (2.4645) Prec@1 44.141 (45.106) Prec@5 70.703 (70.365)
Epoch: [12][2510/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.4016 (2.4646) Prec@1 46.094 (45.105) Prec@5 71.094 (70.360)
Epoch: [12][2520/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.5439 (2.4647) Prec@1 42.969 (45.107) Prec@5 66.016 (70.359)
Epoch: [12][2530/5005] Time 0.452 (0.462) Data 0.000 (0.002) Loss 2.2919 (2.4643) Prec@1 48.438 (45.112) Prec@5 72.656 (70.364)
Epoch: [12][2540/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.6085 (2.4645) Prec@1 40.625 (45.103) Prec@5 64.062 (70.358)
Epoch: [12][2550/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.5730 (2.4645) Prec@1 43.750 (45.100) Prec@5 67.969 (70.355)
Epoch: [12][2560/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.2524 (2.4641) Prec@1 46.484 (45.108) Prec@5 74.609 (70.364)
Epoch: [12][2570/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.3074 (2.4644) Prec@1 47.656 (45.099) Prec@5 72.656 (70.361)
Epoch: [12][2580/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.4322 (2.4644) Prec@1 44.922 (45.100) Prec@5 69.141 (70.356)
Epoch: [12][2590/5005] Time 0.469 (0.462) Data 0.000 (0.002) Loss 2.3375 (2.4644) Prec@1 46.875 (45.101) Prec@5 70.312 (70.358)
Epoch: [12][2600/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.6357 (2.4645) Prec@1 47.266 (45.095) Prec@5 67.969 (70.359)
Epoch: [12][2610/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.4606 (2.4646) Prec@1 44.531 (45.092) Prec@5 68.750 (70.356)
Epoch: [12][2620/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.6022 (2.4647) Prec@1 41.406 (45.092) Prec@5 69.141 (70.357)
Epoch: [12][2630/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.5807 (2.4646) Prec@1 45.312 (45.091) Prec@5 68.750 (70.358)
Epoch: [12][2640/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.4101 (2.4646) Prec@1 41.797 (45.092) Prec@5 70.312 (70.360)
Epoch: [12][2650/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.3020 (2.4644) Prec@1 48.047 (45.094) Prec@5 75.781 (70.362)
Epoch: [12][2660/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.5504 (2.4645) Prec@1 44.922 (45.090) Prec@5 66.797 (70.356)
Epoch: [12][2670/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.6061 (2.4644) Prec@1 45.703 (45.097) Prec@5 66.797 (70.361)
Epoch: [12][2680/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.5528 (2.4645) Prec@1 42.188 (45.096) Prec@5 66.797 (70.363)
Epoch: [12][2690/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.6019 (2.4648) Prec@1 43.359 (45.093) Prec@5 67.969 (70.361)
Epoch: [12][2700/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.6326 (2.4648) Prec@1 46.094 (45.097) Prec@5 68.750 (70.361)
Epoch: [12][2710/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.5484 (2.4648) Prec@1 41.797 (45.099) Prec@5 69.531 (70.363)
Epoch: [12][2720/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.5846 (2.4651) Prec@1 39.844 (45.093) Prec@5 67.578 (70.358)
Epoch: [12][2730/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.4874 (2.4650) Prec@1 50.000 (45.096) Prec@5 70.312 (70.363)
Epoch: [12][2740/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.3817 (2.4650) Prec@1 45.312 (45.098) Prec@5 70.703 (70.361)
Epoch: [12][2750/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.4195 (2.4652) Prec@1 44.922 (45.095) Prec@5 72.266 (70.358)
Epoch: [12][2760/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.6083 (2.4649) Prec@1 44.922 (45.101) Prec@5 71.875 (70.361)
Epoch: [12][2770/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.6135 (2.4648) Prec@1 42.188 (45.101) Prec@5 65.625 (70.364)
Epoch: [12][2780/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.5509 (2.4649) Prec@1 44.141 (45.100) Prec@5 68.750 (70.363)
Epoch: [12][2790/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.5955 (2.4648) Prec@1 41.406 (45.097) Prec@5 66.016 (70.364)
Epoch: [12][2800/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.5027 (2.4649) Prec@1 44.922 (45.094) Prec@5 67.969 (70.364)
Epoch: [12][2810/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.3872 (2.4646) Prec@1 44.922 (45.093) Prec@5 69.922 (70.365)
Epoch: [12][2820/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.3983 (2.4647) Prec@1 46.094 (45.095) Prec@5 69.531 (70.365)
Epoch: [12][2830/5005] Time 0.468 (0.462) Data 0.000 (0.002) Loss 2.5955 (2.4651) Prec@1 43.750 (45.090) Prec@5 68.750 (70.358)
Epoch: [12][2840/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.4839 (2.4652) Prec@1 47.656 (45.090) Prec@5 70.312 (70.359)
Epoch: [12][2850/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.3514 (2.4654) Prec@1 48.828 (45.089) Prec@5 71.875 (70.357)
Epoch: [12][2860/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.2306 (2.4651) Prec@1 46.875 (45.092) Prec@5 75.391 (70.366)
Epoch: [12][2870/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.1279 (2.4650) Prec@1 53.125 (45.095) Prec@5 78.125 (70.372)
Epoch: [12][2880/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.5295 (2.4650) Prec@1 46.094 (45.095) Prec@5 71.094 (70.374)
Epoch: [12][2890/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.5187 (2.4650) Prec@1 42.578 (45.092) Prec@5 70.703 (70.374)
Epoch: [12][2900/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.5804 (2.4651) Prec@1 44.531 (45.093) Prec@5 70.312 (70.372)
Epoch: [12][2910/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.4045 (2.4649) Prec@1 42.969 (45.095) Prec@5 70.312 (70.374)
Epoch: [12][2920/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.5930 (2.4648) Prec@1 42.188 (45.097) Prec@5 69.141 (70.376)
Epoch: [12][2930/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.5179 (2.4648) Prec@1 45.312 (45.100) Prec@5 70.703 (70.379)
Epoch: [12][2940/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.7618 (2.4650) Prec@1 38.672 (45.096) Prec@5 67.188 (70.376)
Epoch: [12][2950/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.5572 (2.4649) Prec@1 42.188 (45.098) Prec@5 70.312 (70.376)
Epoch: [12][2960/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.1761 (2.4648) Prec@1 55.078 (45.101) Prec@5 76.562 (70.375)
Epoch: [12][2970/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.3405 (2.4646) Prec@1 46.875 (45.103) Prec@5 72.266 (70.372)
Epoch: [12][2980/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.6142 (2.4648) Prec@1 42.188 (45.097) Prec@5 69.141 (70.369)
Epoch: [12][2990/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.7174 (2.4652) Prec@1 37.500 (45.090) Prec@5 69.141 (70.362)
Epoch: [12][3000/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.3928 (2.4651) Prec@1 41.797 (45.092) Prec@5 72.656 (70.362)
Epoch: [12][3010/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.6889 (2.4651) Prec@1 39.844 (45.094) Prec@5 67.578 (70.363)
Epoch: [12][3020/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.4339 (2.4651) Prec@1 47.656 (45.095) Prec@5 70.703 (70.365)
Epoch: [12][3030/5005] Time 0.464 (0.462) Data 0.000 (0.002) Loss 2.5713 (2.4652) Prec@1 44.141 (45.092) Prec@5 66.797 (70.365)
Epoch: [12][3040/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.4603 (2.4648) Prec@1 41.406 (45.092) Prec@5 73.828 (70.371)
Epoch: [12][3050/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.5230 (2.4647) Prec@1 47.656 (45.092) Prec@5 67.188 (70.369)
Epoch: [12][3060/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.5296 (2.4648) Prec@1 43.359 (45.090) Prec@5 71.484 (70.370)
Epoch: [12][3070/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.2623 (2.4647) Prec@1 48.047 (45.087) Prec@5 74.609 (70.371)
Epoch: [12][3080/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.3815 (2.4645) Prec@1 46.094 (45.087) Prec@5 72.656 (70.376)
Epoch: [12][3090/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.4671 (2.4646) Prec@1 46.875 (45.084) Prec@5 74.609 (70.373)
Epoch: [12][3100/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.6107 (2.4646) Prec@1 43.750 (45.087) Prec@5 64.844 (70.371)
Epoch: [12][3110/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.7003 (2.4647) Prec@1 37.891 (45.084) Prec@5 65.234 (70.371)
Epoch: [12][3120/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.5893 (2.4649) Prec@1 45.703 (45.081) Prec@5 69.531 (70.368)
Epoch: [12][3130/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.2795 (2.4646) Prec@1 50.391 (45.085) Prec@5 73.438 (70.371)
Epoch: [12][3140/5005] Time 0.465 (0.462) Data 0.000 (0.002) Loss 2.5551 (2.4645) Prec@1 43.750 (45.088) Prec@5 68.750 (70.372)
Epoch: [12][3150/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.4161 (2.4645) Prec@1 48.438 (45.087) Prec@5 66.406 (70.371)
Epoch: [12][3160/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.1783 (2.4644) Prec@1 45.312 (45.085) Prec@5 72.656 (70.370)
Epoch: [12][3170/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.3168 (2.4643) Prec@1 48.438 (45.089) Prec@5 73.438 (70.371)
Epoch: [12][3180/5005] Time 0.459 (0.462) Data 0.000 (0.002) Loss 2.4260 (2.4642) Prec@1 43.750 (45.088) Prec@5 70.703 (70.373)
Epoch: [12][3190/5005] Time 0.463 (0.462) Data 0.000 (0.002) Loss 2.6197 (2.4640) Prec@1 39.453 (45.091) Prec@5 67.188 (70.375)
Epoch: [12][3200/5005] Time 0.458 (0.462) Data 0.000 (0.002) Loss 2.5019 (2.4637) Prec@1 48.438 (45.097) Prec@5 71.094 (70.384)
Epoch: [12][3210/5005] Time 0.453 (0.462) Data 0.000 (0.002) Loss 2.4680 (2.4637) Prec@1 44.531 (45.097) Prec@5 71.094 (70.385)
Epoch: [12][3220/5005] Time 0.460 (0.462) Data 0.000 (0.002) Loss 2.4456 (2.4637) Prec@1 44.922 (45.098) Prec@5 71.094 (70.381)
Epoch: [12][3230/5005] Time 0.461 (0.462) Data 0.000 (0.002) Loss 2.3964 (2.4636) Prec@1 44.141 (45.101) Prec@5 72.656 (70.383)
Epoch: [12][3240/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.4099 (2.4636) Prec@1 46.484 (45.101) Prec@5 72.656 (70.382)
Epoch: [12][3250/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.2668 (2.4636) Prec@1 47.656 (45.099) Prec@5 73.828 (70.383)
Epoch: [12][3260/5005] Time 0.462 (0.462) Data 0.000 (0.002) Loss 2.4452 (2.4637) Prec@1 49.609 (45.097) Prec@5 71.094 (70.379)
Epoch: [12][3270/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.5568 (2.4639) Prec@1 39.453 (45.093) Prec@5 70.703 (70.377)
Epoch: [12][3280/5005] Time 0.457 (0.462) Data 0.000 (0.002) Loss 2.4530 (2.4639) Prec@1 45.703 (45.094) Prec@5 67.969 (70.376)
Epoch: [12][3290/5005] Time 0.455 (0.462) Data 0.000 (0.002) Loss 2.3547 (2.4637) Prec@1 47.656 (45.097) Prec@5 71.484 (70.380)
Epoch: [12][3300/5005] Time 0.454 (0.462) Data 0.000 (0.002) Loss 2.5023 (2.4636) Prec@1 45.312 (45.097) Prec@5 70.703 (70.383)
Epoch: [12][3310/5005] Time 0.456 (0.462) Data 0.000 (0.002) Loss 2.2420 (2.4636) Prec@1 54.688 (45.099) Prec@5 71.094 (70.382)
Epoch: [12][3320/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.6432 (2.4635) Prec@1 41.406 (45.098) Prec@5 69.141 (70.384)
Epoch: [12][3330/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.6872 (2.4634) Prec@1 42.578 (45.095) Prec@5 69.141 (70.385)
Epoch: [12][3340/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.7503 (2.4635) Prec@1 39.844 (45.094) Prec@5 64.062 (70.385)
Epoch: [12][3350/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.7210 (2.4637) Prec@1 41.016 (45.092) Prec@5 66.406 (70.383)
Epoch: [12][3360/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.2446 (2.4637) Prec@1 48.438 (45.087) Prec@5 73.828 (70.383)
Epoch: [12][3370/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.3905 (2.4637) Prec@1 48.047 (45.088) Prec@5 70.703 (70.382)
Epoch: [12][3380/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.3761 (2.4636) Prec@1 45.312 (45.090) Prec@5 71.484 (70.383)
Epoch: [12][3390/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.6056 (2.4638) Prec@1 42.578 (45.089) Prec@5 69.141 (70.381)
Epoch: [12][3400/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5791 (2.4637) Prec@1 42.188 (45.094) Prec@5 68.750 (70.383)
Epoch: [12][3410/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.2380 (2.4636) Prec@1 49.609 (45.094) Prec@5 75.781 (70.385)
Epoch: [12][3420/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.2025 (2.4637) Prec@1 50.391 (45.094) Prec@5 74.609 (70.384)
Epoch: [12][3430/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.3157 (2.4636) Prec@1 41.406 (45.096) Prec@5 74.609 (70.386)
Epoch: [12][3440/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.3000 (2.4636) Prec@1 49.609 (45.099) Prec@5 72.656 (70.387)
Epoch: [12][3450/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5338 (2.4635) Prec@1 42.188 (45.101) Prec@5 68.750 (70.388)
Epoch: [12][3460/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.3837 (2.4631) Prec@1 41.797 (45.102) Prec@5 72.656 (70.394)
Epoch: [12][3470/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.5780 (2.4632) Prec@1 44.531 (45.099) Prec@5 68.750 (70.392)
Epoch: [12][3480/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.3681 (2.4632) Prec@1 43.750 (45.100) Prec@5 72.266 (70.393)
Epoch: [12][3490/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.5470 (2.4629) Prec@1 46.875 (45.105) Prec@5 67.578 (70.395)
Epoch: [12][3500/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 2.2222 (2.4630) Prec@1 47.656 (45.105) Prec@5 75.781 (70.394)
Epoch: [12][3510/5005] Time 0.450 (0.461) Data 0.000 (0.002) Loss 2.4740 (2.4630) Prec@1 42.969 (45.104) Prec@5 69.922 (70.394)
Epoch: [12][3520/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.2268 (2.4628) Prec@1 50.391 (45.108) Prec@5 73.438 (70.399)
Epoch: [12][3530/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.4523 (2.4627) Prec@1 44.531 (45.109) Prec@5 70.312 (70.398)
Epoch: [12][3540/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.7014 (2.4627) Prec@1 42.188 (45.109) Prec@5 66.406 (70.394)
Epoch: [12][3550/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 3.0220 (2.4630) Prec@1 35.547 (45.105) Prec@5 59.766 (70.391)
Epoch: [12][3560/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4943 (2.4633) Prec@1 44.141 (45.099) Prec@5 69.922 (70.384)
Epoch: [12][3570/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.3114 (2.4632) Prec@1 47.656 (45.097) Prec@5 76.172 (70.386)
Epoch: [12][3580/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.4982 (2.4634) Prec@1 44.141 (45.093) Prec@5 68.750 (70.383)
Epoch: [12][3590/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.4284 (2.4633) Prec@1 46.875 (45.096) Prec@5 71.484 (70.385)
Epoch: [12][3600/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.2520 (2.4632) Prec@1 47.656 (45.097) Prec@5 72.656 (70.386)
Epoch: [12][3610/5005] Time 0.451 (0.461) Data 0.000 (0.002) Loss 2.7456 (2.4632) Prec@1 42.188 (45.098) Prec@5 62.500 (70.384)
Epoch: [12][3620/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.2524 (2.4632) Prec@1 46.484 (45.099) Prec@5 76.562 (70.384)
Epoch: [12][3630/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.6496 (2.4632) Prec@1 42.969 (45.102) Prec@5 71.484 (70.386)
Epoch: [12][3640/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.3209 (2.4633) Prec@1 46.484 (45.101) Prec@5 74.609 (70.385)
Epoch: [12][3650/5005] Time 0.467 (0.461) Data 0.000 (0.002) Loss 2.3926 (2.4630) Prec@1 48.438 (45.103) Prec@5 71.094 (70.389)
Epoch: [12][3660/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.4457 (2.4629) Prec@1 46.484 (45.104) Prec@5 69.141 (70.391)
Epoch: [12][3670/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.4550 (2.4629) Prec@1 41.016 (45.104) Prec@5 72.656 (70.393)
Epoch: [12][3680/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5796 (2.4628) Prec@1 45.312 (45.104) Prec@5 67.969 (70.394)
Epoch: [12][3690/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 2.5269 (2.4629) Prec@1 46.094 (45.107) Prec@5 69.531 (70.394)
Epoch: [12][3700/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.4588 (2.4627) Prec@1 44.141 (45.108) Prec@5 72.266 (70.395)
Epoch: [12][3710/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.6057 (2.4627) Prec@1 42.188 (45.106) Prec@5 68.359 (70.394)
Epoch: [12][3720/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.6717 (2.4628) Prec@1 42.578 (45.105) Prec@5 68.750 (70.394)
Epoch: [12][3730/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.4243 (2.4629) Prec@1 45.703 (45.106) Prec@5 70.312 (70.390)
Epoch: [12][3740/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.5264 (2.4630) Prec@1 40.625 (45.106) Prec@5 69.531 (70.390)
Epoch: [12][3750/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.4765 (2.4627) Prec@1 41.406 (45.107) Prec@5 70.703 (70.394)
Epoch: [12][3760/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 2.5145 (2.4628) Prec@1 44.922 (45.107) Prec@5 69.141 (70.393)
Epoch: [12][3770/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.3627 (2.4628) Prec@1 45.703 (45.108) Prec@5 73.047 (70.395)
Epoch: [12][3780/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.3667 (2.4626) Prec@1 44.922 (45.111) Prec@5 70.312 (70.396)
Epoch: [12][3790/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.3517 (2.4627) Prec@1 47.656 (45.111) Prec@5 70.312 (70.395)
Epoch: [12][3800/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.6969 (2.4627) Prec@1 42.969 (45.110) Prec@5 65.234 (70.395)
Epoch: [12][3810/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.4847 (2.4628) Prec@1 43.750 (45.110) Prec@5 69.531 (70.394)
Epoch: [12][3820/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.2732 (2.4629) Prec@1 48.047 (45.111) Prec@5 74.609 (70.393)
Epoch: [12][3830/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 2.4212 (2.4628) Prec@1 44.922 (45.112) Prec@5 69.922 (70.394)
Epoch: [12][3840/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.3921 (2.4626) Prec@1 44.922 (45.117) Prec@5 72.656 (70.396)
Epoch: [12][3850/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.5175 (2.4626) Prec@1 46.094 (45.121) Prec@5 66.406 (70.394)
Epoch: [12][3860/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.6370 (2.4628) Prec@1 42.969 (45.116) Prec@5 67.969 (70.393)
Epoch: [12][3870/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.4416 (2.4627) Prec@1 43.750 (45.118) Prec@5 71.875 (70.394)
Epoch: [12][3880/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.5419 (2.4627) Prec@1 42.578 (45.120) Prec@5 66.406 (70.392)
Epoch: [12][3890/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.4680 (2.4626) Prec@1 49.609 (45.125) Prec@5 68.359 (70.396)
Epoch: [12][3900/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.4519 (2.4624) Prec@1 44.531 (45.125) Prec@5 69.531 (70.398)
Epoch: [12][3910/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.2267 (2.4621) Prec@1 49.219 (45.129) Prec@5 76.953 (70.402)
Epoch: [12][3920/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5279 (2.4621) Prec@1 44.141 (45.126) Prec@5 71.875 (70.402)
Epoch: [12][3930/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.7186 (2.4622) Prec@1 42.578 (45.123) Prec@5 67.578 (70.401)
Epoch: [12][3940/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.3592 (2.4622) Prec@1 47.656 (45.126) Prec@5 71.484 (70.399)
Epoch: [12][3950/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.5798 (2.4623) Prec@1 43.750 (45.125) Prec@5 70.312 (70.397)
Epoch: [12][3960/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.3634 (2.4623) Prec@1 49.219 (45.126) Prec@5 71.875 (70.397)
Epoch: [12][3970/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.5918 (2.4623) Prec@1 44.922 (45.127) Prec@5 71.484 (70.400)
Epoch: [12][3980/5005] Time 0.468 (0.461) Data 0.000 (0.002) Loss 2.4505 (2.4622) Prec@1 46.484 (45.127) Prec@5 71.484 (70.401)
Epoch: [12][3990/5005] Time 0.452 (0.461) Data 0.000 (0.002) Loss 2.4215 (2.4621) Prec@1 46.484 (45.130) Prec@5 73.047 (70.404)
Epoch: [12][4000/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.5067 (2.4621) Prec@1 44.922 (45.132) Prec@5 71.484 (70.404)
Epoch: [12][4010/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.4011 (2.4620) Prec@1 48.047 (45.133) Prec@5 71.094 (70.406)
Epoch: [12][4020/5005] Time 0.450 (0.461) Data 0.000 (0.002) Loss 2.5425 (2.4621) Prec@1 47.266 (45.130) Prec@5 70.312 (70.405)
Epoch: [12][4030/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.4956 (2.4621) Prec@1 46.875 (45.131) Prec@5 68.359 (70.407)
Epoch: [12][4040/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.3390 (2.4620) Prec@1 46.484 (45.130) Prec@5 74.609 (70.407)
Epoch: [12][4050/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.4171 (2.4621) Prec@1 45.312 (45.128) Prec@5 69.141 (70.403)
Epoch: [12][4060/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.2902 (2.4621) Prec@1 44.141 (45.128) Prec@5 74.609 (70.406)
Epoch: [12][4070/5005] Time 0.452 (0.461) Data 0.000 (0.002) Loss 2.4279 (2.4619) Prec@1 44.922 (45.130) Prec@5 70.703 (70.410)
Epoch: [12][4080/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.5236 (2.4619) Prec@1 44.141 (45.131) Prec@5 71.875 (70.410)
Epoch: [12][4090/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.4715 (2.4619) Prec@1 44.141 (45.132) Prec@5 71.875 (70.409)
Epoch: [12][4100/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.4392 (2.4622) Prec@1 44.141 (45.129) Prec@5 71.875 (70.403)
Epoch: [12][4110/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.4958 (2.4623) Prec@1 44.531 (45.131) Prec@5 70.312 (70.399)
Epoch: [12][4120/5005] Time 0.451 (0.461) Data 0.000 (0.002) Loss 2.3874 (2.4621) Prec@1 47.266 (45.135) Prec@5 71.484 (70.403)
Epoch: [12][4130/5005] Time 0.452 (0.461) Data 0.000 (0.002) Loss 2.8048 (2.4621) Prec@1 44.922 (45.137) Prec@5 63.281 (70.407)
Epoch: [12][4140/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.1785 (2.4621) Prec@1 50.781 (45.136) Prec@5 75.000 (70.407)
Epoch: [12][4150/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.3992 (2.4621) Prec@1 47.656 (45.135) Prec@5 71.484 (70.406)
Epoch: [12][4160/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.3769 (2.4622) Prec@1 44.141 (45.134) Prec@5 71.484 (70.406)
Epoch: [12][4170/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.3315 (2.4621) Prec@1 50.000 (45.133) Prec@5 73.828 (70.407)
Epoch: [12][4180/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.2793 (2.4620) Prec@1 50.000 (45.136) Prec@5 72.656 (70.407)
Epoch: [12][4190/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.3475 (2.4620) Prec@1 46.484 (45.137) Prec@5 73.438 (70.407)
Epoch: [12][4200/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.3119 (2.4619) Prec@1 50.781 (45.140) Prec@5 74.609 (70.410)
Epoch: [12][4210/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.4035 (2.4619) Prec@1 42.578 (45.139) Prec@5 71.484 (70.410)
Epoch: [12][4220/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.6510 (2.4618) Prec@1 44.141 (45.141) Prec@5 66.406 (70.413)
Epoch: [12][4230/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.5143 (2.4621) Prec@1 45.312 (45.135) Prec@5 69.922 (70.412)
Epoch: [12][4240/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.3326 (2.4620) Prec@1 45.703 (45.138) Prec@5 71.875 (70.416)
Epoch: [12][4250/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.2980 (2.4619) Prec@1 46.484 (45.139) Prec@5 75.000 (70.418)
Epoch: [12][4260/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.7718 (2.4620) Prec@1 37.500 (45.139) Prec@5 64.062 (70.416)
Epoch: [12][4270/5005] Time 0.450 (0.461) Data 0.000 (0.002) Loss 2.3569 (2.4617) Prec@1 46.094 (45.142) Prec@5 72.656 (70.420)
Epoch: [12][4280/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.3449 (2.4617) Prec@1 45.703 (45.142) Prec@5 74.219 (70.421)
Epoch: [12][4290/5005] Time 0.452 (0.461) Data 0.000 (0.002) Loss 2.2760 (2.4617) Prec@1 50.391 (45.143) Prec@5 72.656 (70.420)
Epoch: [12][4300/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.7945 (2.4616) Prec@1 39.453 (45.144) Prec@5 63.672 (70.421)
Epoch: [12][4310/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.6186 (2.4616) Prec@1 43.750 (45.145) Prec@5 67.578 (70.421)
Epoch: [12][4320/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.1744 (2.4612) Prec@1 53.125 (45.153) Prec@5 73.047 (70.428)
Epoch: [12][4330/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.3240 (2.4613) Prec@1 45.312 (45.150) Prec@5 73.438 (70.430)
Epoch: [12][4340/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.4926 (2.4613) Prec@1 47.266 (45.150) Prec@5 70.312 (70.428)
Epoch: [12][4350/5005] Time 0.465 (0.461) Data 0.000 (0.001) Loss 2.5895 (2.4613) Prec@1 43.359 (45.150) Prec@5 68.359 (70.427)
Epoch: [12][4360/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.5613 (2.4613) Prec@1 46.484 (45.153) Prec@5 70.312 (70.428)
Epoch: [12][4370/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.7169 (2.4615) Prec@1 39.844 (45.150) Prec@5 66.406 (70.427)
Epoch: [12][4380/5005] Time 0.451 (0.461) Data 0.000 (0.001) Loss 2.3168 (2.4613) Prec@1 44.531 (45.151) Prec@5 73.047 (70.429)
Epoch: [12][4390/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 2.5672 (2.4614) Prec@1 42.188 (45.148) Prec@5 70.312 (70.430)
Epoch: [12][4400/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 2.6336 (2.4614) Prec@1 43.359 (45.150) Prec@5 66.797 (70.428)
Epoch: [12][4410/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.5468 (2.4613) Prec@1 42.188 (45.152) Prec@5 68.750 (70.430)
Epoch: [12][4420/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.6118 (2.4612) Prec@1 40.234 (45.155) Prec@5 67.969 (70.434)
Epoch: [12][4430/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.4322 (2.4613) Prec@1 44.922 (45.155) Prec@5 71.484 (70.431)
Epoch: [12][4440/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.2564 (2.4612) Prec@1 47.656 (45.157) Prec@5 73.828 (70.433)
Epoch: [12][4450/5005] Time 0.451 (0.461) Data 0.000 (0.001) Loss 2.5617 (2.4612) Prec@1 44.531 (45.159) Prec@5 70.312 (70.433)
Epoch: [12][4460/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.4302 (2.4612) Prec@1 45.312 (45.160) Prec@5 71.875 (70.435)
Epoch: [12][4470/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.4203 (2.4610) Prec@1 46.094 (45.161) Prec@5 70.312 (70.439)
Epoch: [12][4480/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.2996 (2.4610) Prec@1 46.484 (45.165) Prec@5 73.828 (70.440)
Epoch: [12][4490/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.7073 (2.4609) Prec@1 43.359 (45.165) Prec@5 66.016 (70.440)
Epoch: [12][4500/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.3723 (2.4610) Prec@1 46.875 (45.165) Prec@5 71.875 (70.440)
Epoch: [12][4510/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.2547 (2.4611) Prec@1 47.656 (45.164) Prec@5 73.047 (70.441)
Epoch: [12][4520/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.2997 (2.4612) Prec@1 45.703 (45.162) Prec@5 75.391 (70.438)
Epoch: [12][4530/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.5322 (2.4612) Prec@1 48.438 (45.164) Prec@5 69.922 (70.437)
Epoch: [12][4540/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 2.4148 (2.4612) Prec@1 47.656 (45.162) Prec@5 70.703 (70.437)
Epoch: [12][4550/5005] Time 0.466 (0.461) Data 0.000 (0.001) Loss 2.4847 (2.4611) Prec@1 42.578 (45.165) Prec@5 67.969 (70.438)
Epoch: [12][4560/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.5800 (2.4611) Prec@1 42.969 (45.165) Prec@5 68.750 (70.439)
Epoch: [12][4570/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.5205 (2.4609) Prec@1 41.797 (45.170) Prec@5 72.266 (70.443)
Epoch: [12][4580/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.8447 (2.4610) Prec@1 38.281 (45.170) Prec@5 62.500 (70.443)
Epoch: [12][4590/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.5889 (2.4609) Prec@1 40.625 (45.173) Prec@5 68.359 (70.445)
Epoch: [12][4600/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.4887 (2.4609) Prec@1 45.703 (45.174) Prec@5 69.922 (70.444)
Epoch: [12][4610/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 2.5924 (2.4609) Prec@1 38.672 (45.172) Prec@5 70.703 (70.446)
Epoch: [12][4620/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.5705 (2.4610) Prec@1 43.359 (45.170) Prec@5 67.578 (70.444)
Epoch: [12][4630/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.5183 (2.4610) Prec@1 40.625 (45.169) Prec@5 70.703 (70.445)
Epoch: [12][4640/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.7023 (2.4612) Prec@1 42.188 (45.167) Prec@5 66.016 (70.444)
Epoch: [12][4650/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 2.5175 (2.4610) Prec@1 42.188 (45.168) Prec@5 71.094 (70.445)
Epoch: [12][4660/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.2798 (2.4609) Prec@1 43.359 (45.170) Prec@5 74.609 (70.447)
Epoch: [12][4670/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.3735 (2.4607) Prec@1 46.875 (45.176) Prec@5 71.484 (70.450)
Epoch: [12][4680/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.4368 (2.4608) Prec@1 45.312 (45.176) Prec@5 71.875 (70.451)
Epoch: [12][4690/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 2.5057 (2.4608) Prec@1 46.094 (45.174) Prec@5 69.141 (70.449)
Epoch: [12][4700/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.2332 (2.4608) Prec@1 50.391 (45.175) Prec@5 75.781 (70.449)
Epoch: [12][4710/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.4137 (2.4609) Prec@1 43.359 (45.171) Prec@5 70.312 (70.450)
Epoch: [12][4720/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.4695 (2.4609) Prec@1 46.875 (45.170) Prec@5 69.922 (70.452)
Epoch: [12][4730/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.4323 (2.4609) Prec@1 46.484 (45.170) Prec@5 71.094 (70.450)
Epoch: [12][4740/5005] Time 0.465 (0.461) Data 0.000 (0.001) Loss 2.3817 (2.4608) Prec@1 43.750 (45.171) Prec@5 68.359 (70.450)
Epoch: [12][4750/5005] Time 0.453 (0.461) Data 0.000 (0.001) Loss 2.5794 (2.4608) Prec@1 43.359 (45.171) Prec@5 67.578 (70.451)
Epoch: [12][4760/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.5293 (2.4608) Prec@1 41.797 (45.166) Prec@5 72.656 (70.451)
Epoch: [12][4770/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.4723 (2.4607) Prec@1 48.047 (45.168) Prec@5 68.359 (70.451)
Epoch: [12][4780/5005] Time 0.455 (0.461) Data 0.000 (0.001) Loss 2.4556 (2.4605) Prec@1 45.312 (45.174) Prec@5 70.312 (70.456)
Epoch: [12][4790/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 2.3023 (2.4605) Prec@1 46.484 (45.173) Prec@5 75.391 (70.454)
Epoch: [12][4800/5005] Time 0.453 (0.461) Data 0.000 (0.001) Loss 2.3431 (2.4605) Prec@1 44.922 (45.172) Prec@5 72.266 (70.454)
Epoch: [12][4810/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.5783 (2.4607) Prec@1 46.094 (45.170) Prec@5 65.625 (70.452)
Epoch: [12][4820/5005] Time 0.462 (0.461) Data 0.001 (0.001) Loss 2.3697 (2.4608) Prec@1 44.922 (45.169) Prec@5 70.703 (70.452)
Epoch: [12][4830/5005] Time 0.464 (0.461) Data 0.000 (0.001) Loss 2.5919 (2.4608) Prec@1 44.141 (45.170) Prec@5 68.750 (70.453)
Epoch: [12][4840/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.2992 (2.4607) Prec@1 51.172 (45.174) Prec@5 72.656 (70.454)
Epoch: [12][4850/5005] Time 0.458 (0.461) Data 0.000 (0.001) Loss 2.3896 (2.4607) Prec@1 45.312 (45.177) Prec@5 75.000 (70.457)
Epoch: [12][4860/5005] Time 0.457 (0.461) Data 0.000 (0.001) Loss 2.6356 (2.4606) Prec@1 38.672 (45.181) Prec@5 68.359 (70.459)
Epoch: [12][4870/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.4352 (2.4606) Prec@1 46.484 (45.181) Prec@5 70.312 (70.458)
Epoch: [12][4880/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.4128 (2.4607) Prec@1 46.875 (45.179) Prec@5 71.875 (70.457)
Epoch: [12][4890/5005] Time 0.462 (0.461) Data 0.000 (0.001) Loss 2.4691 (2.4606) Prec@1 48.828 (45.182) Prec@5 70.703 (70.459)
Epoch: [12][4900/5005] Time 0.453 (0.461) Data 0.000 (0.001) Loss 2.3786 (2.4605) Prec@1 43.359 (45.183) Prec@5 72.266 (70.461)
Epoch: [12][4910/5005] Time 0.456 (0.461) Data 0.000 (0.001) Loss 2.4331 (2.4604) Prec@1 41.406 (45.183) Prec@5 70.312 (70.464)
Epoch: [12][4920/5005] Time 0.452 (0.461) Data 0.000 (0.001) Loss 2.6558 (2.4607) Prec@1 42.969 (45.179) Prec@5 65.234 (70.460)
Epoch: [12][4930/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 2.6047 (2.4606) Prec@1 43.359 (45.179) Prec@5 67.578 (70.461)
Epoch: [12][4940/5005] Time 0.460 (0.461) Data 0.000 (0.001) Loss 2.4692 (2.4606) Prec@1 45.312 (45.180) Prec@5 69.141 (70.459)
Epoch: [12][4950/5005] Time 0.463 (0.461) Data 0.000 (0.001) Loss 2.4868 (2.4607) Prec@1 44.141 (45.179) Prec@5 68.359 (70.460)
Epoch: [12][4960/5005] Time 0.459 (0.461) Data 0.000 (0.001) Loss 2.3076 (2.4605) Prec@1 46.094 (45.180) Prec@5 73.828 (70.465)
Epoch: [12][4970/5005] Time 0.461 (0.461) Data 0.000 (0.001) Loss 2.5181 (2.4604) Prec@1 47.266 (45.181) Prec@5 69.531 (70.465)
Epoch: [12][4980/5005] Time 0.454 (0.461) Data 0.000 (0.001) Loss 2.3906 (2.4606) Prec@1 44.922 (45.179) Prec@5 72.266 (70.463)
Epoch: [12][4990/5005] Time 0.453 (0.461) Data 0.000 (0.001) Loss 2.1898 (2.4605) Prec@1 48.047 (45.181) Prec@5 73.828 (70.464)
Epoch: [12][5000/5005] Time 0.451 (0.461) Data 0.000 (0.001) Loss 2.3512 (2.4606) Prec@1 46.484 (45.180) Prec@5 73.828 (70.464)
Test: [0/196] Time 5.054 (5.054) Loss 1.0846 (1.0846) Prec@1 71.484 (71.484) Prec@5 93.359 (93.359)
Test: [10/196] Time 0.150 (0.596) Loss 1.6622 (1.4001) Prec@1 58.594 (65.518) Prec@5 83.203 (86.932)
Test: [20/196] Time 0.149 (0.384) Loss 1.4950 (1.4361) Prec@1 67.188 (64.732) Prec@5 84.375 (86.161)
Test: [30/196] Time 0.149 (0.311) Loss 1.4287 (1.4119) Prec@1 60.938 (65.247) Prec@5 87.891 (86.366)
Test: [40/196] Time 0.149 (0.272) Loss 1.4375 (1.4818) Prec@1 63.672 (62.233) Prec@5 87.891 (86.090)
Test: [50/196] Time 0.148 (0.249) Loss 0.9407 (1.4543) Prec@1 73.047 (62.178) Prec@5 92.188 (86.887)
Test: [60/196] Time 0.150 (0.233) Loss 2.0063 (1.4590) Prec@1 47.656 (62.097) Prec@5 82.812 (86.924)
Test: [70/196] Time 0.150 (0.222) Loss 1.5720 (1.4451) Prec@1 55.078 (62.616) Prec@5 84.375 (87.038)
Test: [80/196] Time 0.154 (0.213) Loss 2.5899 (1.4755) Prec@1 39.453 (61.998) Prec@5 73.047 (86.589)
Test: [90/196] Time 0.149 (0.206) Loss 3.1928 (1.5697) Prec@1 33.203 (60.337) Prec@5 62.500 (85.229)
Test: [100/196] Time 0.154 (0.201) Loss 2.6797 (1.6452) Prec@1 34.766 (58.946) Prec@5 68.750 (84.039)
Test: [110/196] Time 0.151 (0.197) Loss 1.4872 (1.6743) Prec@1 63.672 (58.632) Prec@5 82.422 (83.471)
Test: [120/196] Time 0.149 (0.193) Loss 2.8375 (1.7100) Prec@1 42.188 (58.248) Prec@5 62.500 (82.796)
Test: [130/196] Time 0.150 (0.190) Loss 1.4884 (1.7500) Prec@1 68.359 (57.532) Prec@5 83.203 (82.168)
Test: [140/196] Time 0.151 (0.187) Loss 2.1544 (1.7856) Prec@1 48.438 (56.904) Prec@5 78.906 (81.555)
Test: [150/196] Time 0.152 (0.185) Loss 2.2112 (1.8189) Prec@1 57.422 (56.426) Prec@5 72.656 (80.924)
Test: [160/196] Time 0.152 (0.183) Loss 1.6969 (1.8441) Prec@1 62.109 (55.990) Prec@5 80.469 (80.529)
Test: [170/196] Time 0.149 (0.181) Loss 1.3673 (1.8791) Prec@1 62.891 (55.243) Prec@5 87.109 (79.964)
Test: [180/196] Time 0.154 (0.179) Loss 1.8001 (1.8958) Prec@1 49.609 (54.938) Prec@5 84.766 (79.763)
Test: [190/196] Time 0.149 (0.178) Loss 1.5889 (1.8876) Prec@1 55.469 (55.072) Prec@5 86.719 (79.912)
* Prec@1 55.322 Prec@5 80.020
Epoch: [13][0/5005] Time 5.146 (5.146) Data 4.969 (4.969) Loss 2.3916 (2.3916) Prec@1 48.438 (48.438) Prec@5 71.094 (71.094)
Epoch: [13][10/5005] Time 0.462 (0.886) Data 0.000 (0.452) Loss 2.7770 (2.3730) Prec@1 41.016 (47.550) Prec@5 62.500 (70.987)
Epoch: [13][20/5005] Time 0.462 (0.683) Data 0.000 (0.237) Loss 2.6309 (2.3662) Prec@1 42.578 (46.987) Prec@5 68.359 (71.782)
Epoch: [13][30/5005] Time 0.462 (0.611) Data 0.000 (0.161) Loss 2.5233 (2.3816) Prec@1 44.922 (46.510) Prec@5 69.922 (71.862)
Epoch: [13][40/5005] Time 0.461 (0.574) Data 0.000 (0.122) Loss 2.7313 (2.3836) Prec@1 41.797 (46.789) Prec@5 68.359 (71.875)
Epoch: [13][50/5005] Time 0.456 (0.552) Data 0.000 (0.098) Loss 2.1581 (2.3995) Prec@1 50.391 (46.492) Prec@5 75.781 (71.768)
Epoch: [13][60/5005] Time 0.458 (0.536) Data 0.000 (0.082) Loss 2.3075 (2.4062) Prec@1 50.000 (46.337) Prec@5 71.484 (71.689)
Epoch: [13][70/5005] Time 0.465 (0.526) Data 0.000 (0.070) Loss 2.2813 (2.3980) Prec@1 48.438 (46.468) Prec@5 71.094 (71.627)
Epoch: [13][80/5005] Time 0.462 (0.518) Data 0.001 (0.062) Loss 2.2053 (2.3981) Prec@1 49.609 (46.340) Prec@5 77.734 (71.533)
Epoch: [13][90/5005] Time 0.466 (0.511) Data 0.000 (0.055) Loss 2.3762 (2.3974) Prec@1 47.266 (46.343) Prec@5 73.047 (71.562)
Epoch: [13][100/5005] Time 0.455 (0.506) Data 0.000 (0.050) Loss 2.2658 (2.3974) Prec@1 46.875 (46.392) Prec@5 74.219 (71.597)
Epoch: [13][110/5005] Time 0.456 (0.502) Data 0.000 (0.045) Loss 2.4065 (2.3958) Prec@1 44.922 (46.347) Prec@5 71.484 (71.562)
Epoch: [13][120/5005] Time 0.457 (0.499) Data 0.000 (0.042) Loss 2.5416 (2.3922) Prec@1 42.188 (46.378) Prec@5 70.703 (71.546)
Epoch: [13][130/5005] Time 0.458 (0.496) Data 0.000 (0.038) Loss 2.3534 (2.3942) Prec@1 47.656 (46.410) Prec@5 73.438 (71.443)
Epoch: [13][140/5005] Time 0.459 (0.493) Data 0.000 (0.036) Loss 2.4935 (2.3987) Prec@1 45.703 (46.407) Prec@5 70.703 (71.362)
Epoch: [13][150/5005] Time 0.462 (0.491) Data 0.000 (0.033) Loss 2.4233 (2.4006) Prec@1 43.750 (46.314) Prec@5 73.438 (71.337)
Epoch: [13][160/5005] Time 0.460 (0.489) Data 0.000 (0.031) Loss 2.2952 (2.4014) Prec@1 48.828 (46.293) Prec@5 74.219 (71.312)
Epoch: [13][170/5005] Time 0.458 (0.487) Data 0.000 (0.030) Loss 2.6057 (2.4020) Prec@1 45.312 (46.313) Prec@5 67.969 (71.368)
Epoch: [13][180/5005] Time 0.461 (0.486) Data 0.000 (0.028) Loss 2.5017 (2.4063) Prec@1 44.141 (46.266) Prec@5 69.922 (71.292)
Epoch: [13][190/5005] Time 0.460 (0.484) Data 0.000 (0.026) Loss 2.1867 (2.3976) Prec@1 50.000 (46.392) Prec@5 74.219 (71.441)
Epoch: [13][200/5005] Time 0.455 (0.483) Data 0.000 (0.025) Loss 2.5465 (2.4020) Prec@1 42.188 (46.300) Prec@5 67.188 (71.377)
Epoch: [13][210/5005] Time 0.458 (0.482) Data 0.000 (0.024) Loss 2.2691 (2.4055) Prec@1 51.172 (46.249) Prec@5 73.828 (71.338)
Epoch: [13][220/5005] Time 0.456 (0.481) Data 0.000 (0.023) Loss 2.2059 (2.4042) Prec@1 49.609 (46.263) Prec@5 74.219 (71.384)
Epoch: [13][230/5005] Time 0.464 (0.480) Data 0.000 (0.022) Loss 2.3502 (2.4043) Prec@1 46.875 (46.258) Prec@5 74.609 (71.396)
Epoch: [13][240/5005] Time 0.462 (0.479) Data 0.000 (0.021) Loss 2.3996 (2.4030) Prec@1 46.484 (46.259) Prec@5 75.391 (71.439)
Epoch: [13][250/5005] Time 0.463 (0.478) Data 0.000 (0.020) Loss 2.3641 (2.4026) Prec@1 44.141 (46.229) Prec@5 69.531 (71.475)
Epoch: [13][260/5005] Time 0.460 (0.478) Data 0.000 (0.019) Loss 2.5467 (2.4037) Prec@1 39.062 (46.219) Prec@5 68.359 (71.422)
Epoch: [13][270/5005] Time 0.461 (0.477) Data 0.000 (0.019) Loss 2.4158 (2.4060) Prec@1 46.484 (46.137) Prec@5 73.438 (71.424)
Epoch: [13][280/5005] Time 0.461 (0.476) Data 0.000 (0.018) Loss 2.6243 (2.4056) Prec@1 41.016 (46.130) Prec@5 68.359 (71.427)
Epoch: [13][290/5005] Time 0.459 (0.476) Data 0.000 (0.018) Loss 2.4278 (2.4040) Prec@1 44.141 (46.176) Prec@5 70.703 (71.421)
Epoch: [13][300/5005] Time 0.463 (0.475) Data 0.001 (0.017) Loss 2.6374 (2.4048) Prec@1 42.188 (46.160) Prec@5 68.750 (71.401)
Epoch: [13][310/5005] Time 0.460 (0.475) Data 0.000 (0.016) Loss 2.5545 (2.4071) Prec@1 47.266 (46.140) Prec@5 69.141 (71.341)
Epoch: [13][320/5005] Time 0.462 (0.474) Data 0.000 (0.016) Loss 2.4985 (2.4080) Prec@1 43.750 (46.128) Prec@5 71.484 (71.337)
Epoch: [13][330/5005] Time 0.453 (0.474) Data 0.000 (0.015) Loss 2.4632 (2.4063) Prec@1 44.922 (46.129) Prec@5 73.047 (71.373)
Epoch: [13][340/5005] Time 0.466 (0.473) Data 0.000 (0.015) Loss 2.3369 (2.4065) Prec@1 43.750 (46.089) Prec@5 73.047 (71.354)
Epoch: [13][350/5005] Time 0.455 (0.473) Data 0.000 (0.015) Loss 2.4944 (2.4058) Prec@1 45.703 (46.075) Prec@5 67.969 (71.344)
Epoch: [13][360/5005] Time 0.462 (0.473) Data 0.000 (0.014) Loss 2.4727 (2.4061) Prec@1 43.750 (46.070) Prec@5 69.922 (71.327)
Epoch: [13][370/5005] Time 0.458 (0.472) Data 0.000 (0.014) Loss 2.6348 (2.4079) Prec@1 40.625 (46.020) Prec@5 66.797 (71.290)
Epoch: [13][380/5005] Time 0.456 (0.472) Data 0.000 (0.013) Loss 2.1868 (2.4077) Prec@1 50.000 (45.997) Prec@5 76.172 (71.296)
Epoch: [13][390/5005] Time 0.457 (0.472) Data 0.000 (0.013) Loss 2.2022 (2.4050) Prec@1 48.047 (46.013) Prec@5 74.609 (71.345)
Epoch: [13][400/5005] Time 0.455 (0.471) Data 0.000 (0.013) Loss 2.3277 (2.4046) Prec@1 48.828 (46.015) Prec@5 71.094 (71.363)
Epoch: [13][410/5005] Time 0.457 (0.471) Data 0.000 (0.013) Loss 2.3752 (2.4042) Prec@1 50.391 (46.057) Prec@5 73.828 (71.367)
Epoch: [13][420/5005] Time 0.459 (0.471) Data 0.000 (0.012) Loss 2.3917 (2.4034) Prec@1 43.359 (46.057) Prec@5 71.875 (71.393)
Epoch: [13][430/5005] Time 0.454 (0.470) Data 0.000 (0.012) Loss 2.7025 (2.4044) Prec@1 46.094 (46.088) Prec@5 65.234 (71.380)
Epoch: [13][440/5005] Time 0.459 (0.470) Data 0.000 (0.012) Loss 2.3483 (2.4031) Prec@1 47.656 (46.131) Prec@5 71.875 (71.407)
Epoch: [13][450/5005] Time 0.458 (0.470) Data 0.000 (0.011) Loss 2.2884 (2.4034) Prec@1 45.703 (46.128) Prec@5 73.828 (71.396)
Epoch: [13][460/5005] Time 0.464 (0.470) Data 0.000 (0.011) Loss 2.2769 (2.4020) Prec@1 49.219 (46.145) Prec@5 73.438 (71.417)
Epoch: [13][470/5005] Time 0.460 (0.469) Data 0.000 (0.011) Loss 2.6385 (2.4021) Prec@1 44.922 (46.129) Prec@5 65.625 (71.411)
Epoch: [13][480/5005] Time 0.462 (0.469) Data 0.000 (0.011) Loss 2.3980 (2.4018) Prec@1 44.922 (46.134) Prec@5 71.484 (71.417)
Epoch: [13][490/5005] Time 0.453 (0.469) Data 0.000 (0.011) Loss 2.2250 (2.4025) Prec@1 46.094 (46.128) Prec@5 72.266 (71.407)
Epoch: [13][500/5005] Time 0.460 (0.469) Data 0.001 (0.010) Loss 2.1077 (2.4011) Prec@1 50.000 (46.172) Prec@5 76.562 (71.436)
Epoch: [13][510/5005] Time 0.461 (0.469) Data 0.000 (0.010) Loss 2.4612 (2.4010) Prec@1 46.484 (46.190) Prec@5 71.094 (71.446)
Epoch: [13][520/5005] Time 0.459 (0.468) Data 0.000 (0.010) Loss 2.4834 (2.4004) Prec@1 47.266 (46.210) Prec@5 69.922 (71.456)
Epoch: [13][530/5005] Time 0.464 (0.468) Data 0.000 (0.010) Loss 2.5284 (2.4009) Prec@1 44.141 (46.194) Prec@5 71.094 (71.445)
Epoch: [13][540/5005] Time 0.462 (0.468) Data 0.000 (0.010) Loss 2.2291 (2.3982) Prec@1 47.656 (46.237) Prec@5 71.484 (71.481)
Epoch: [13][550/5005] Time 0.464 (0.468) Data 0.000 (0.009) Loss 2.4930 (2.3996) Prec@1 43.359 (46.235) Prec@5 70.312 (71.463)
Epoch: [13][560/5005] Time 0.464 (0.468) Data 0.000 (0.009) Loss 2.3349 (2.3998) Prec@1 45.703 (46.240) Prec@5 72.656 (71.462)
Epoch: [13][570/5005] Time 0.459 (0.467) Data 0.000 (0.009) Loss 2.2267 (2.3992) Prec@1 47.656 (46.233) Prec@5 71.094 (71.465)
Epoch: [13][580/5005] Time 0.462 (0.467) Data 0.000 (0.009) Loss 2.3827 (2.3994) Prec@1 47.266 (46.236) Prec@5 69.141 (71.455)
Epoch: [13][590/5005] Time 0.460 (0.467) Data 0.000 (0.009) Loss 2.5269 (2.3988) Prec@1 42.969 (46.262) Prec@5 71.094 (71.447)
Epoch: [13][600/5005] Time 0.465 (0.467) Data 0.000 (0.009) Loss 2.6232 (2.3994) Prec@1 39.844 (46.261) Prec@5 66.406 (71.432)
Epoch: [13][610/5005] Time 0.458 (0.467) Data 0.000 (0.009) Loss 2.2158 (2.4002) Prec@1 50.781 (46.270) Prec@5 73.438 (71.412)
Epoch: [13][620/5005] Time 0.456 (0.467) Data 0.000 (0.008) Loss 2.4348 (2.4003) Prec@1 49.609 (46.266) Prec@5 70.703 (71.408)
Epoch: [13][630/5005] Time 0.467 (0.467) Data 0.000 (0.008) Loss 2.3469 (2.3999) Prec@1 45.312 (46.278) Prec@5 72.656 (71.414)
Epoch: [13][640/5005] Time 0.457 (0.467) Data 0.000 (0.008) Loss 2.2741 (2.4009) Prec@1 48.438 (46.237) Prec@5 73.828 (71.395)
Epoch: [13][650/5005] Time 0.463 (0.466) Data 0.000 (0.008) Loss 2.5454 (2.4009) Prec@1 42.578 (46.230) Prec@5 69.531 (71.399)
Epoch: [13][660/5005] Time 0.465 (0.466) Data 0.000 (0.008) Loss 2.2476 (2.4001) Prec@1 46.484 (46.236) Prec@5 75.000 (71.397)
Epoch: [13][670/5005] Time 0.459 (0.466) Data 0.000 (0.008) Loss 2.5239 (2.4009) Prec@1 46.094 (46.226) Prec@5 68.359 (71.392)
Epoch: [13][680/5005] Time 0.462 (0.466) Data 0.000 (0.008) Loss 2.5119 (2.4009) Prec@1 46.094 (46.241) Prec@5 68.359 (71.387)
Epoch: [13][690/5005] Time 0.458 (0.466) Data 0.000 (0.008) Loss 2.3930 (2.4006) Prec@1 47.656 (46.253) Prec@5 71.875 (71.393)
Epoch: [13][700/5005] Time 0.461 (0.466) Data 0.000 (0.008) Loss 2.5283 (2.4013) Prec@1 42.578 (46.231) Prec@5 67.188 (71.363)
Epoch: [13][710/5005] Time 0.456 (0.466) Data 0.000 (0.007) Loss 2.3173 (2.4019) Prec@1 46.094 (46.221) Prec@5 72.266 (71.350)
Epoch: [13][720/5005] Time 0.456 (0.466) Data 0.000 (0.007) Loss 2.5541 (2.4027) Prec@1 43.359 (46.200) Prec@5 68.359 (71.349)
Epoch: [13][730/5005] Time 0.457 (0.466) Data 0.000 (0.007) Loss 2.4909 (2.4016) Prec@1 46.484 (46.239) Prec@5 66.797 (71.359)
Epoch: [13][740/5005] Time 0.458 (0.466) Data 0.000 (0.007) Loss 2.1934 (2.4013) Prec@1 51.172 (46.247) Prec@5 75.781 (71.372)
Epoch: [13][750/5005] Time 0.454 (0.465) Data 0.000 (0.007) Loss 2.4501 (2.4015) Prec@1 45.703 (46.247) Prec@5 71.484 (71.365)
Epoch: [13][760/5005] Time 0.456 (0.465) Data 0.000 (0.007) Loss 2.2463 (2.4021) Prec@1 51.562 (46.258) Prec@5 73.828 (71.351)
Epoch: [13][770/5005] Time 0.460 (0.465) Data 0.000 (0.007) Loss 2.1724 (2.4013) Prec@1 51.172 (46.278) Prec@5 72.266 (71.352)
Epoch: [13][780/5005] Time 0.463 (0.465) Data 0.000 (0.007) Loss 2.2463 (2.4010) Prec@1 48.828 (46.281) Prec@5 71.875 (71.344)
Epoch: [13][790/5005] Time 0.452 (0.465) Data 0.000 (0.007) Loss 2.4117 (2.4009) Prec@1 48.047 (46.285) Prec@5 68.750 (71.337)
Epoch: [13][800/5005] Time 0.455 (0.465) Data 0.000 (0.007) Loss 2.5496 (2.4016) Prec@1 41.797 (46.282) Prec@5 67.578 (71.327)
Epoch: [13][810/5005] Time 0.450 (0.465) Data 0.000 (0.007) Loss 2.4549 (2.4023) Prec@1 44.531 (46.261) Prec@5 71.875 (71.309)
Epoch: [13][820/5005] Time 0.463 (0.465) Data 0.000 (0.006) Loss 2.1374 (2.4024) Prec@1 48.047 (46.267) Prec@5 75.391 (71.309)
Epoch: [13][830/5005] Time 0.451 (0.465) Data 0.000 (0.006) Loss 2.5297 (2.4021) Prec@1 44.531 (46.258) Prec@5 67.578 (71.310)
Epoch: [13][840/5005] Time 0.455 (0.465) Data 0.000 (0.006) Loss 2.4937 (2.4031) Prec@1 42.969 (46.252) Prec@5 70.703 (71.293)
Epoch: [13][850/5005] Time 0.457 (0.465) Data 0.000 (0.006) Loss 2.3437 (2.4030) Prec@1 48.828 (46.254) Prec@5 70.312 (71.295)
Epoch: [13][860/5005] Time 0.462 (0.465) Data 0.000 (0.006) Loss 2.4816 (2.4031) Prec@1 46.484 (46.252) Prec@5 71.875 (71.292)
Epoch: [13][870/5005] Time 0.466 (0.465) Data 0.000 (0.006) Loss 2.3505 (2.4029) Prec@1 46.484 (46.257) Prec@5 71.875 (71.293)
Epoch: [13][880/5005] Time 0.459 (0.464) Data 0.000 (0.006) Loss 2.4420 (2.4032) Prec@1 46.094 (46.248) Prec@5 71.094 (71.292)
Epoch: [13][890/5005] Time 0.461 (0.464) Data 0.000 (0.006) Loss 2.6399 (2.4037) Prec@1 42.969 (46.244) Prec@5 67.969 (71.292)
Epoch: [13][900/5005] Time 0.458 (0.464) Data 0.000 (0.006) Loss 2.3786 (2.4043) Prec@1 48.047 (46.236) Prec@5 74.219 (71.288)
Epoch: [13][910/5005] Time 0.455 (0.464) Data 0.000 (0.006) Loss 2.4139 (2.4040) Prec@1 42.969 (46.239) Prec@5 74.219 (71.298)
Epoch: [13][920/5005] Time 0.454 (0.464) Data 0.000 (0.006) Loss 2.2516 (2.4040) Prec@1 48.438 (46.236) Prec@5 71.484 (71.291)
Epoch: [13][930/5005] Time 0.462 (0.464) Data 0.000 (0.006) Loss 2.2327 (2.4042) Prec@1 51.953 (46.247) Prec@5 73.828 (71.295)
Epoch: [13][940/5005] Time 0.455 (0.464) Data 0.000 (0.006) Loss 2.3347 (2.4047) Prec@1 48.828 (46.237) Prec@5 73.047 (71.286)
Epoch: [13][950/5005] Time 0.458 (0.464) Data 0.000 (0.006) Loss 2.1608 (2.4042) Prec@1 51.562 (46.237) Prec@5 78.516 (71.298)
Epoch: [13][960/5005] Time 0.459 (0.464) Data 0.000 (0.006) Loss 2.4802 (2.4052) Prec@1 47.656 (46.232) Prec@5 67.969 (71.275)
Epoch: [13][970/5005] Time 0.459 (0.464) Data 0.000 (0.006) Loss 2.4287 (2.4048) Prec@1 44.922 (46.237) Prec@5 71.094 (71.285)
Epoch: [13][980/5005] Time 0.460 (0.464) Data 0.000 (0.005) Loss 2.1644 (2.4049) Prec@1 52.344 (46.234) Prec@5 71.875 (71.283)
Epoch: [13][990/5005] Time 0.458 (0.464) Data 0.000 (0.005) Loss 2.3362 (2.4041) Prec@1 48.828 (46.240) Prec@5 73.047 (71.299)
Epoch: [13][1000/5005] Time 0.466 (0.464) Data 0.000 (0.005) Loss 2.5980 (2.4043) Prec@1 40.234 (46.232) Prec@5 68.359 (71.303)
Epoch: [13][1010/5005] Time 0.461 (0.464) Data 0.000 (0.005) Loss 2.1941 (2.4037) Prec@1 47.266 (46.240) Prec@5 68.359 (71.303)
Epoch: [13][1020/5005] Time 0.454 (0.464) Data 0.000 (0.005) Loss 2.5797 (2.4034) Prec@1 44.922 (46.254) Prec@5 66.406 (71.310)
Epoch: [13][1030/5005] Time 0.461 (0.464) Data 0.000 (0.005) Loss 2.6242 (2.4032) Prec@1 42.578 (46.252) Prec@5 65.625 (71.312)
Epoch: [13][1040/5005] Time 0.459 (0.464) Data 0.000 (0.005) Loss 2.3000 (2.4032) Prec@1 46.484 (46.252) Prec@5 75.000 (71.307)
Epoch: [13][1050/5005] Time 0.462 (0.464) Data 0.000 (0.005) Loss 2.4544 (2.4043) Prec@1 43.750 (46.231) Prec@5 70.312 (71.297)
Epoch: [13][1060/5005] Time 0.456 (0.464) Data 0.000 (0.005) Loss 2.5483 (2.4046) Prec@1 42.578 (46.212) Prec@5 70.312 (71.297)
Epoch: [13][1070/5005] Time 0.465 (0.463) Data 0.000 (0.005) Loss 2.5342 (2.4047) Prec@1 46.094 (46.213) Prec@5 67.969 (71.301)
Epoch: [13][1080/5005] Time 0.461 (0.463) Data 0.000 (0.005) Loss 2.3064 (2.4050) Prec@1 44.531 (46.201) Prec@5 69.922 (71.289)
Epoch: [13][1090/5005] Time 0.456 (0.463) Data 0.000 (0.005) Loss 2.3111 (2.4055) Prec@1 48.438 (46.185) Prec@5 70.312 (71.281)
Epoch: [13][1100/5005] Time 0.458 (0.463) Data 0.000 (0.005) Loss 2.3515 (2.4061) Prec@1 48.438 (46.181) Prec@5 73.438 (71.273)
Epoch: [13][1110/5005] Time 0.465 (0.463) Data 0.000 (0.005) Loss 2.2672 (2.4067) Prec@1 46.094 (46.174) Prec@5 74.219 (71.259)
Epoch: [13][1120/5005] Time 0.458 (0.463) Data 0.000 (0.005) Loss 2.5817 (2.4062) Prec@1 43.359 (46.184) Prec@5 64.453 (71.260)
Epoch: [13][1130/5005] Time 0.462 (0.463) Data 0.000 (0.005) Loss 2.3163 (2.4059) Prec@1 49.219 (46.194) Prec@5 73.828 (71.267)
Epoch: [13][1140/5005] Time 0.464 (0.463) Data 0.000 (0.005) Loss 2.2061 (2.4058) Prec@1 48.047 (46.193) Prec@5 73.047 (71.269)
Epoch: [13][1150/5005] Time 0.458 (0.463) Data 0.000 (0.005) Loss 2.2940 (2.4059) Prec@1 51.562 (46.187) Prec@5 73.438 (71.270)
Epoch: [13][1160/5005] Time 0.459 (0.463) Data 0.000 (0.005) Loss 2.3086 (2.4056) Prec@1 48.828 (46.186) Prec@5 73.047 (71.274)
Epoch: [13][1170/5005] Time 0.456 (0.463) Data 0.000 (0.005) Loss 2.3698 (2.4057) Prec@1 44.531 (46.190) Prec@5 73.828 (71.281)
Epoch: [13][1180/5005] Time 0.461 (0.463) Data 0.000 (0.005) Loss 2.4904 (2.4055) Prec@1 48.438 (46.193) Prec@5 73.438 (71.296)
Epoch: [13][1190/5005] Time 0.461 (0.463) Data 0.001 (0.005) Loss 2.2281 (2.4060) Prec@1 45.703 (46.178) Prec@5 73.438 (71.289)
Epoch: [13][1200/5005] Time 0.463 (0.463) Data 0.000 (0.005) Loss 2.3636 (2.4061) Prec@1 45.703 (46.187) Prec@5 73.047 (71.285)
Epoch: [13][1210/5005] Time 0.458 (0.463) Data 0.000 (0.005) Loss 2.5175 (2.4061) Prec@1 45.312 (46.190) Prec@5 67.969 (71.286)
Epoch: [13][1220/5005] Time 0.459 (0.463) Data 0.000 (0.004) Loss 2.3161 (2.4060) Prec@1 49.609 (46.193) Prec@5 71.484 (71.291)
Epoch: [13][1230/5005] Time 0.461 (0.463) Data 0.000 (0.004) Loss 2.4962 (2.4069) Prec@1 46.094 (46.183) Prec@5 70.312 (71.277)
Epoch: [13][1240/5005] Time 0.459 (0.463) Data 0.000 (0.004) Loss 2.4072 (2.4072) Prec@1 46.875 (46.189) Prec@5 71.484 (71.268)
Epoch: [13][1250/5005] Time 0.460 (0.463) Data 0.000 (0.004) Loss 2.4702 (2.4069) Prec@1 42.969 (46.188) Prec@5 70.703 (71.273)
Epoch: [13][1260/5005] Time 0.462 (0.463) Data 0.000 (0.004) Loss 2.5631 (2.4073) Prec@1 42.188 (46.177) Prec@5 69.141 (71.272)
Epoch: [13][1270/5005] Time 0.461 (0.463) Data 0.000 (0.004) Loss 2.5115 (2.4074) Prec@1 42.188 (46.170) Prec@5 70.703 (71.270)
Epoch: [13][1280/5005] Time 0.460 (0.463) Data 0.000 (0.004) Loss 2.6686 (2.4077) Prec@1 42.188 (46.172) Prec@5 67.188 (71.265)
Epoch: [13][1290/5005] Time 0.463 (0.463) Data 0.000 (0.004) Loss 2.5302 (2.4080) Prec@1 41.406 (46.161) Prec@5 71.094 (71.263)
Epoch: [13][1300/5005] Time 0.462 (0.463) Data 0.000 (0.004) Loss 2.4861 (2.4086) Prec@1 46.875 (46.142) Prec@5 70.703 (71.257)
Epoch: [13][1310/5005] Time 0.466 (0.463) Data 0.000 (0.004) Loss 2.5605 (2.4090) Prec@1 41.016 (46.136) Prec@5 66.016 (71.250)
Epoch: [13][1320/5005] Time 0.454 (0.463) Data 0.000 (0.004) Loss 2.7053 (2.4090) Prec@1 42.578 (46.137) Prec@5 67.578 (71.255)
Epoch: [13][1330/5005] Time 0.453 (0.463) Data 0.000 (0.004) Loss 2.3520 (2.4090) Prec@1 50.000 (46.142) Prec@5 72.266 (71.256)
Epoch: [13][1340/5005] Time 0.457 (0.463) Data 0.000 (0.004) Loss 2.5307 (2.4091) Prec@1 39.453 (46.141) Prec@5 69.141 (71.251)
Epoch: [13][1350/5005] Time 0.463 (0.463) Data 0.000 (0.004) Loss 2.1753 (2.4085) Prec@1 46.875 (46.144) Prec@5 72.656 (71.257)
Epoch: [13][1360/5005] Time 0.460 (0.463) Data 0.000 (0.004) Loss 2.3199 (2.4076) Prec@1 53.125 (46.171) Prec@5 71.875 (71.271)
Epoch: [13][1370/5005] Time 0.463 (0.463) Data 0.000 (0.004) Loss 2.4436 (2.4073) Prec@1 43.750 (46.174) Prec@5 72.266 (71.278)
Epoch: [13][1380/5005] Time 0.460 (0.463) Data 0.000 (0.004) Loss 2.4688 (2.4078) Prec@1 45.312 (46.166) Prec@5 70.703 (71.271)
Epoch: [13][1390/5005] Time 0.459 (0.462) Data 0.000 (0.004) Loss 2.3138 (2.4083) Prec@1 48.828 (46.162) Prec@5 71.094 (71.262)
Epoch: [13][1400/5005] Time 0.451 (0.462) Data 0.000 (0.004) Loss 2.2563 (2.4081) Prec@1 48.438 (46.167) Prec@5 74.219 (71.264)
Epoch: [13][1410/5005] Time 0.455 (0.462) Data 0.000 (0.004) Loss 2.2031 (2.4077) Prec@1 46.875 (46.165) Prec@5 73.438 (71.267)
Epoch: [13][1420/5005] Time 0.456 (0.462) Data 0.000 (0.004) Loss 2.2305 (2.4076) Prec@1 48.438 (46.156) Prec@5 73.047 (71.261)
Epoch: [13][1430/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 2.5007 (2.4078) Prec@1 39.453 (46.154) Prec@5 72.656 (71.259)
Epoch: [13][1440/5005] Time 0.457 (0.462) Data 0.000 (0.004) Loss 2.4073 (2.4082) Prec@1 44.922 (46.146) Prec@5 70.703 (71.254)
Epoch: [13][1450/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 2.6313 (2.4083) Prec@1 46.875 (46.140) Prec@5 67.578 (71.248)
Epoch: [13][1460/5005] Time 0.461 (0.462) Data 0.000 (0.004) Loss 2.4228 (2.4081) Prec@1 43.750 (46.149) Prec@5 71.094 (71.251)
Epoch: [13][1470/5005] Time 0.461 (0.462) Data 0.000 (0.004) Loss 2.5745 (2.4084) Prec@1 44.922 (46.146) Prec@5 66.406 (71.242)
Epoch: [13][1480/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 2.3100 (2.4087) Prec@1 50.391 (46.142) Prec@5 71.094 (71.237)
Epoch: [13][1490/5005] Time 0.451 (0.462) Data 0.000 (0.004) Loss 2.2248 (2.4080) Prec@1 53.516 (46.154) Prec@5 73.828 (71.252)
Epoch: [13][1500/5005] Time 0.458 (0.462) Data 0.000 (0.004) Loss 2.4036 (2.4083) Prec@1 41.016 (46.150) Prec@5 71.094 (71.244)
Epoch: [13][1510/5005] Time 0.465 (0.462) Data 0.000 (0.004) Loss 2.5524 (2.4084) Prec@1 47.266 (46.152) Prec@5 67.578 (71.244)
Epoch: [13][1520/5005] Time 0.462 (0.462) Data 0.000 (0.004) Loss 2.3085 (2.4084) Prec@1 44.531 (46.154) Prec@5 73.438 (71.240)
Epoch: [13][1530/5005] Time 0.452 (0.462) Data 0.000 (0.004) Loss 2.2803 (2.4079) Prec@1 45.312 (46.160) Prec@5 72.656 (71.251)
Epoch: [13][1540/5005] Time 0.461 (0.462) Data 0.000 (0.004) Loss 2.6051 (2.4082) Prec@1 40.234 (46.146) Prec@5 67.188 (71.241)
Epoch: [13][1550/5005] Time 0.456 (0.462) Data 0.000 (0.004) Loss 2.5218 (2.4084) Prec@1 44.531 (46.144) Prec@5 69.922 (71.236)
Epoch: [13][1560/5005] Time 0.462 (0.462) Data 0.000 (0.004) Loss 2.4324 (2.4089) Prec@1 45.312 (46.132) Prec@5 70.312 (71.227)
Epoch: [13][1570/5005] Time 0.461 (0.462) Data 0.000 (0.004) Loss 2.7680 (2.4097) Prec@1 40.625 (46.124) Prec@5 63.672 (71.215)
Epoch: [13][1580/5005] Time 0.463 (0.462) Data 0.000 (0.004) Loss 2.3714 (2.4099) Prec@1 48.047 (46.123) Prec@5 70.703 (71.209)
Epoch: [13][1590/5005] Time 0.463 (0.462) Data 0.000 (0.004) Loss 2.1339 (2.4096) Prec@1 53.125 (46.129) Prec@5 77.344 (71.215)
Epoch: [13][1600/5005] Time 0.454 (0.462) Data 0.000 (0.004) Loss 2.7082 (2.4097) Prec@1 43.750 (46.132) Prec@5 64.062 (71.215)
Epoch: [13][1610/5005] Time 0.461 (0.462) Data 0.000 (0.004) Loss 2.4595 (2.4098) Prec@1 48.438 (46.132) Prec@5 67.578 (71.216)
Epoch: [13][1620/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 2.3807 (2.4102) Prec@1 47.266 (46.132) Prec@5 74.219 (71.215)
Epoch: [13][1630/5005] Time 0.448 (0.462) Data 0.000 (0.003) Loss 2.0314 (2.4103) Prec@1 53.516 (46.132) Prec@5 78.516 (71.216)
Epoch: [13][1640/5005] Time 0.463 (0.462) Data 0.000 (0.003) Loss 2.2458 (2.4102) Prec@1 52.344 (46.131) Prec@5 73.438 (71.216)
Epoch: [13][1650/5005] Time 0.464 (0.462) Data 0.000 (0.003) Loss 2.2490 (2.4101) Prec@1 49.219 (46.138) Prec@5 73.047 (71.217)
Epoch: [13][1660/5005] Time 0.454 (0.462) Data 0.000 (0.003) Loss 2.4274 (2.4101) Prec@1 45.312 (46.135) Prec@5 69.531 (71.216)
Epoch: [13][1670/5005] Time 0.459 (0.462) Data 0.000 (0.003) Loss 2.2630 (2.4106) Prec@1 51.562 (46.129) Prec@5 75.781 (71.209)
Epoch: [13][1680/5005] Time 0.465 (0.462) Data 0.000 (0.003) Loss 2.3211 (2.4104) Prec@1 44.531 (46.127) Prec@5 71.094 (71.207)
Epoch: [13][1690/5005] Time 0.452 (0.462) Data 0.000 (0.003) Loss 2.6819 (2.4103) Prec@1 41.406 (46.129) Prec@5 66.406 (71.209)
Epoch: [13][1700/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 2.4871 (2.4103) Prec@1 42.969 (46.122) Prec@5 67.969 (71.205)
Epoch: [13][1710/5005] Time 0.454 (0.462) Data 0.000 (0.003) Loss 2.4034 (2.4101) Prec@1 44.922 (46.128) Prec@5 73.438 (71.209)
Epoch: [13][1720/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 2.5955 (2.4102) Prec@1 43.750 (46.130) Prec@5 67.578 (71.204)
Epoch: [13][1730/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 2.2144 (2.4098) Prec@1 46.875 (46.129) Prec@5 73.828 (71.212)
Epoch: [13][1740/5005] Time 0.462 (0.462) Data 0.000 (0.003) Loss 2.3854 (2.4100) Prec@1 48.438 (46.132) Prec@5 74.219 (71.213)
Epoch: [13][1750/5005] Time 0.450 (0.462) Data 0.000 (0.003) Loss 2.2290 (2.4098) Prec@1 46.484 (46.131) Prec@5 73.828 (71.217)
Epoch: [13][1760/5005] Time 0.465 (0.462) Data 0.001 (0.003) Loss 2.5817 (2.4097) Prec@1 42.188 (46.127) Prec@5 69.141 (71.221)
Epoch: [13][1770/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 2.4734 (2.4099) Prec@1 40.625 (46.115) Prec@5 71.094 (71.221)
Epoch: [13][1780/5005] Time 0.455 (0.462) Data 0.000 (0.003) Loss 2.5693 (2.4100) Prec@1 43.359 (46.106) Prec@5 67.188 (71.217)
Epoch: [13][1790/5005] Time 0.465 (0.462) Data 0.000 (0.003) Loss 2.3240 (2.4099) Prec@1 46.094 (46.105) Prec@5 73.047 (71.218)
Epoch: [13][1800/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 2.2995 (2.4102) Prec@1 47.656 (46.098) Prec@5 75.781 (71.220)
Epoch: [13][1810/5005] Time 0.454 (0.462) Data 0.000 (0.003) Loss 2.4956 (2.4108) Prec@1 45.703 (46.083) Prec@5 67.188 (71.211)
Epoch: [13][1820/5005] Time 0.454 (0.462) Data 0.000 (0.003) Loss 2.5796 (2.4109) Prec@1 45.703 (46.081) Prec@5 72.656 (71.218)
Epoch: [13][1830/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 2.4425 (2.4109) Prec@1 44.141 (46.082) Prec@5 68.359 (71.216)
Epoch: [13][1840/5005] Time 0.461 (0.462) Data 0.000 (0.003) Loss 2.2034 (2.4109) Prec@1 46.875 (46.084) Prec@5 74.609 (71.217)
Epoch: [13][1850/5005] Time 0.463 (0.462) Data 0.000 (0.003) Loss 2.2906 (2.4106) Prec@1 49.219 (46.082) Prec@5 71.094 (71.219)
Epoch: [13][1860/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 2.2437 (2.4105) Prec@1 50.781 (46.089) Prec@5 74.609 (71.218)
Epoch: [13][1870/5005] Time 0.465 (0.462) Data 0.000 (0.003) Loss 2.3565 (2.4101) Prec@1 47.266 (46.103) Prec@5 70.703 (71.229)
Epoch: [13][1880/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 2.3448 (2.4101) Prec@1 49.609 (46.105) Prec@5 71.875 (71.229)
Epoch: [13][1890/5005] Time 0.457 (0.462) Data 0.000 (0.003) Loss 2.5392 (2.4099) Prec@1 43.750 (46.110) Prec@5 69.531 (71.235)
Epoch: [13][1900/5005] Time 0.455 (0.462) Data 0.000 (0.003) Loss 2.4927 (2.4099) Prec@1 45.703 (46.108) Prec@5 71.094 (71.230)
Epoch: [13][1910/5005] Time 0.454 (0.462) Data 0.000 (0.003) Loss 2.4882 (2.4098) Prec@1 45.312 (46.108) Prec@5 73.438 (71.233)
Epoch: [13][1920/5005] Time 0.460 (0.462) Data 0.000 (0.003) Loss 2.5615 (2.4099) Prec@1 46.875 (46.108) Prec@5 68.359 (71.233)
Epoch: [13][1930/5005] Time 0.453 (0.462) Data 0.000 (0.003) Loss 2.4573 (2.4100) Prec@1 45.703 (46.112) Prec@5 71.484 (71.224)
Epoch: [13][1940/5005] Time 0.456 (0.462) Data 0.000 (0.003) Loss 2.2841 (2.4102) Prec@1 50.781 (46.108) Prec@5 73.047 (71.220)
Epoch: [13][1950/5005] Time 0.455 (0.462) Data 0.000 (0.003) Loss 2.5774 (2.4105) Prec@1 43.750 (46.102) Prec@5 68.750 (71.211)
Epoch: [13][1960/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.3732 (2.4106) Prec@1 47.656 (46.098) Prec@5 71.875 (71.209)
Epoch: [13][1970/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.2820 (2.4106) Prec@1 48.828 (46.100) Prec@5 72.656 (71.211)
Epoch: [13][1980/5005] Time 0.469 (0.461) Data 0.000 (0.003) Loss 2.1436 (2.4106) Prec@1 51.172 (46.097) Prec@5 74.219 (71.209)
Epoch: [13][1990/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 2.5255 (2.4110) Prec@1 43.750 (46.090) Prec@5 66.797 (71.200)
Epoch: [13][2000/5005] Time 0.455 (0.461) Data 0.000 (0.003) Loss 2.0860 (2.4110) Prec@1 51.172 (46.085) Prec@5 75.781 (71.202)
Epoch: [13][2010/5005] Time 0.464 (0.461) Data 0.000 (0.003) Loss 2.6700 (2.4112) Prec@1 44.141 (46.078) Prec@5 70.312 (71.200)
Epoch: [13][2020/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.2789 (2.4114) Prec@1 48.828 (46.072) Prec@5 73.828 (71.198)
Epoch: [13][2030/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.6164 (2.4116) Prec@1 40.625 (46.070) Prec@5 67.188 (71.193)
Epoch: [13][2040/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.4908 (2.4119) Prec@1 44.531 (46.058) Prec@5 69.922 (71.192)
Epoch: [13][2050/5005] Time 0.452 (0.461) Data 0.000 (0.003) Loss 2.5812 (2.4121) Prec@1 43.359 (46.054) Prec@5 66.797 (71.188)
Epoch: [13][2060/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.4538 (2.4122) Prec@1 44.922 (46.053) Prec@5 73.828 (71.192)
Epoch: [13][2070/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.4377 (2.4124) Prec@1 48.828 (46.051) Prec@5 68.750 (71.187)
Epoch: [13][2080/5005] Time 0.455 (0.461) Data 0.000 (0.003) Loss 2.4208 (2.4126) Prec@1 45.703 (46.043) Prec@5 73.828 (71.183)
Epoch: [13][2090/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.2856 (2.4124) Prec@1 43.750 (46.043) Prec@5 74.609 (71.187)
Epoch: [13][2100/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.4496 (2.4125) Prec@1 46.484 (46.043) Prec@5 71.484 (71.182)
Epoch: [13][2110/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.5082 (2.4126) Prec@1 46.094 (46.040) Prec@5 69.922 (71.184)
Epoch: [13][2120/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.4644 (2.4124) Prec@1 46.094 (46.045) Prec@5 69.531 (71.185)
Epoch: [13][2130/5005] Time 0.462 (0.461) Data 0.000 (0.003) Loss 2.3597 (2.4127) Prec@1 50.781 (46.043) Prec@5 71.875 (71.182)
Epoch: [13][2140/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.7308 (2.4126) Prec@1 42.969 (46.041) Prec@5 64.844 (71.183)
Epoch: [13][2150/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.4835 (2.4127) Prec@1 45.312 (46.041) Prec@5 71.094 (71.181)
Epoch: [13][2160/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.4084 (2.4128) Prec@1 46.484 (46.045) Prec@5 71.484 (71.179)
Epoch: [13][2170/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.4956 (2.4129) Prec@1 46.875 (46.049) Prec@5 70.312 (71.177)
Epoch: [13][2180/5005] Time 0.456 (0.461) Data 0.001 (0.003) Loss 2.2463 (2.4128) Prec@1 47.656 (46.054) Prec@5 75.391 (71.179)
Epoch: [13][2190/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.4097 (2.4129) Prec@1 46.484 (46.046) Prec@5 72.266 (71.180)
Epoch: [13][2200/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 2.4269 (2.4130) Prec@1 44.141 (46.047) Prec@5 69.531 (71.175)
Epoch: [13][2210/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 2.3922 (2.4127) Prec@1 46.484 (46.051) Prec@5 71.875 (71.182)
Epoch: [13][2220/5005] Time 0.463 (0.461) Data 0.000 (0.003) Loss 2.4948 (2.4126) Prec@1 42.969 (46.052) Prec@5 70.703 (71.184)
Epoch: [13][2230/5005] Time 0.460 (0.461) Data 0.000 (0.003) Loss 2.4295 (2.4131) Prec@1 46.484 (46.039) Prec@5 72.656 (71.174)
Epoch: [13][2240/5005] Time 0.458 (0.461) Data 0.000 (0.003) Loss 2.3597 (2.4132) Prec@1 45.312 (46.035) Prec@5 75.781 (71.174)
Epoch: [13][2250/5005] Time 0.454 (0.461) Data 0.000 (0.003) Loss 2.1609 (2.4128) Prec@1 49.219 (46.040) Prec@5 74.219 (71.179)
Epoch: [13][2260/5005] Time 0.457 (0.461) Data 0.000 (0.003) Loss 2.3585 (2.4128) Prec@1 49.219 (46.043) Prec@5 72.656 (71.179)
Epoch: [13][2270/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.4160 (2.4130) Prec@1 49.219 (46.038) Prec@5 72.656 (71.176)
Epoch: [13][2280/5005] Time 0.455 (0.461) Data 0.000 (0.003) Loss 2.1851 (2.4126) Prec@1 47.266 (46.043) Prec@5 78.125 (71.183)
Epoch: [13][2290/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.5246 (2.4124) Prec@1 42.578 (46.045) Prec@5 70.312 (71.187)
Epoch: [13][2300/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.2587 (2.4127) Prec@1 48.828 (46.039) Prec@5 74.219 (71.183)
Epoch: [13][2310/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.6812 (2.4128) Prec@1 41.797 (46.038) Prec@5 69.531 (71.184)
Epoch: [13][2320/5005] Time 0.459 (0.461) Data 0.000 (0.003) Loss 2.1337 (2.4124) Prec@1 52.734 (46.043) Prec@5 75.000 (71.190)
Epoch: [13][2330/5005] Time 0.461 (0.461) Data 0.001 (0.003) Loss 2.6041 (2.4130) Prec@1 43.750 (46.034) Prec@5 67.969 (71.182)
Epoch: [13][2340/5005] Time 0.462 (0.461) Data 0.000 (0.003) Loss 2.3097 (2.4133) Prec@1 48.438 (46.029) Prec@5 72.266 (71.174)
Epoch: [13][2350/5005] Time 0.453 (0.461) Data 0.000 (0.003) Loss 2.3938 (2.4135) Prec@1 47.656 (46.031) Prec@5 74.609 (71.171)
Epoch: [13][2360/5005] Time 0.461 (0.461) Data 0.000 (0.003) Loss 2.5240 (2.4131) Prec@1 46.875 (46.035) Prec@5 67.188 (71.179)
Epoch: [13][2370/5005] Time 0.452 (0.461) Data 0.000 (0.003) Loss 2.5093 (2.4131) Prec@1 43.750 (46.033) Prec@5 69.141 (71.178)
Epoch: [13][2380/5005] Time 0.456 (0.461) Data 0.000 (0.003) Loss 2.4503 (2.4129) Prec@1 43.359 (46.037) Prec@5 69.141 (71.182)
Epoch: [13][2390/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.3889 (2.4131) Prec@1 46.875 (46.043) Prec@5 71.875 (71.179)
Epoch: [13][2400/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.4139 (2.4133) Prec@1 48.047 (46.041) Prec@5 69.531 (71.175)
Epoch: [13][2410/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.1903 (2.4136) Prec@1 51.172 (46.038) Prec@5 72.656 (71.166)
Epoch: [13][2420/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.4540 (2.4134) Prec@1 47.266 (46.040) Prec@5 69.922 (71.167)
Epoch: [13][2430/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5038 (2.4137) Prec@1 42.578 (46.038) Prec@5 71.484 (71.161)
Epoch: [13][2440/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.6086 (2.4137) Prec@1 44.531 (46.035) Prec@5 66.797 (71.158)
Epoch: [13][2450/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.2682 (2.4139) Prec@1 51.172 (46.033) Prec@5 74.219 (71.159)
Epoch: [13][2460/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.4036 (2.4139) Prec@1 44.531 (46.032) Prec@5 71.484 (71.158)
Epoch: [13][2470/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4863 (2.4136) Prec@1 44.922 (46.040) Prec@5 69.922 (71.164)
Epoch: [13][2480/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.2945 (2.4137) Prec@1 49.609 (46.038) Prec@5 74.609 (71.162)
Epoch: [13][2490/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.2977 (2.4137) Prec@1 45.312 (46.040) Prec@5 71.094 (71.162)
Epoch: [13][2500/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.5169 (2.4138) Prec@1 47.266 (46.041) Prec@5 67.188 (71.161)
Epoch: [13][2510/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.1283 (2.4135) Prec@1 51.953 (46.046) Prec@5 71.875 (71.164)
Epoch: [13][2520/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.4155 (2.4135) Prec@1 45.703 (46.046) Prec@5 68.750 (71.166)
Epoch: [13][2530/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.9924 (2.4135) Prec@1 38.281 (46.050) Prec@5 66.016 (71.165)
Epoch: [13][2540/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.3598 (2.4133) Prec@1 42.578 (46.053) Prec@5 75.000 (71.170)
Epoch: [13][2550/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.3420 (2.4133) Prec@1 48.047 (46.055) Prec@5 74.219 (71.171)
Epoch: [13][2560/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.5798 (2.4134) Prec@1 39.844 (46.054) Prec@5 69.531 (71.168)
Epoch: [13][2570/5005] Time 0.459 (0.461) Data 0.001 (0.002) Loss 2.4544 (2.4132) Prec@1 48.438 (46.056) Prec@5 69.141 (71.171)
Epoch: [13][2580/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.7804 (2.4132) Prec@1 37.109 (46.059) Prec@5 65.234 (71.171)
Epoch: [13][2590/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.0220 (2.4129) Prec@1 50.391 (46.063) Prec@5 79.297 (71.174)
Epoch: [13][2600/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.6515 (2.4132) Prec@1 41.016 (46.063) Prec@5 64.844 (71.166)
Epoch: [13][2610/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.3562 (2.4132) Prec@1 46.875 (46.063) Prec@5 69.922 (71.165)
Epoch: [13][2620/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.4891 (2.4132) Prec@1 42.969 (46.063) Prec@5 68.750 (71.164)
Epoch: [13][2630/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.2546 (2.4131) Prec@1 47.266 (46.066) Prec@5 70.312 (71.162)
Epoch: [13][2640/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.3600 (2.4129) Prec@1 46.484 (46.071) Prec@5 73.828 (71.163)
Epoch: [13][2650/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.4925 (2.4131) Prec@1 44.922 (46.073) Prec@5 68.750 (71.158)
Epoch: [13][2660/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.4814 (2.4132) Prec@1 44.141 (46.066) Prec@5 71.484 (71.153)
Epoch: [13][2670/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.6320 (2.4136) Prec@1 42.578 (46.064) Prec@5 67.969 (71.148)
Epoch: [13][2680/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.3002 (2.4135) Prec@1 48.438 (46.062) Prec@5 73.828 (71.152)
Epoch: [13][2690/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.2606 (2.4132) Prec@1 46.484 (46.065) Prec@5 75.000 (71.160)
Epoch: [13][2700/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.5295 (2.4134) Prec@1 47.656 (46.061) Prec@5 70.312 (71.156)
Epoch: [13][2710/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.7664 (2.4135) Prec@1 42.188 (46.057) Prec@5 63.281 (71.152)
Epoch: [13][2720/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.2391 (2.4135) Prec@1 48.047 (46.058) Prec@5 73.047 (71.153)
Epoch: [13][2730/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.2508 (2.4133) Prec@1 47.656 (46.061) Prec@5 71.094 (71.160)
Epoch: [13][2740/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.3525 (2.4133) Prec@1 44.922 (46.056) Prec@5 73.828 (71.162)
Epoch: [13][2750/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.3521 (2.4134) Prec@1 43.750 (46.053) Prec@5 71.875 (71.162)
Epoch: [13][2760/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.4699 (2.4134) Prec@1 44.141 (46.059) Prec@5 69.922 (71.162)
Epoch: [13][2770/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.4996 (2.4134) Prec@1 48.047 (46.056) Prec@5 69.141 (71.163)
Epoch: [13][2780/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.3681 (2.4132) Prec@1 46.875 (46.057) Prec@5 71.094 (71.166)
Epoch: [13][2790/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4889 (2.4130) Prec@1 45.703 (46.058) Prec@5 68.359 (71.169)
Epoch: [13][2800/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 2.4915 (2.4130) Prec@1 46.094 (46.058) Prec@5 67.969 (71.168)
Epoch: [13][2810/5005] Time 0.466 (0.461) Data 0.000 (0.002) Loss 2.4590 (2.4132) Prec@1 44.922 (46.058) Prec@5 71.094 (71.165)
Epoch: [13][2820/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.5715 (2.4136) Prec@1 41.797 (46.056) Prec@5 69.531 (71.163)
Epoch: [13][2830/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4497 (2.4137) Prec@1 43.750 (46.052) Prec@5 69.922 (71.159)
Epoch: [13][2840/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.3729 (2.4139) Prec@1 48.438 (46.052) Prec@5 69.922 (71.155)
Epoch: [13][2850/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.2179 (2.4136) Prec@1 50.781 (46.056) Prec@5 73.047 (71.158)
Epoch: [13][2860/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.4895 (2.4136) Prec@1 42.578 (46.056) Prec@5 70.703 (71.161)
Epoch: [13][2870/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.2927 (2.4134) Prec@1 50.391 (46.060) Prec@5 72.656 (71.164)
Epoch: [13][2880/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.2103 (2.4135) Prec@1 50.391 (46.060) Prec@5 75.000 (71.162)
Epoch: [13][2890/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.4406 (2.4134) Prec@1 48.438 (46.063) Prec@5 69.922 (71.161)
Epoch: [13][2900/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.5284 (2.4134) Prec@1 42.188 (46.064) Prec@5 68.750 (71.162)
Epoch: [13][2910/5005] Time 0.455 (0.461) Data 0.000 (0.002) Loss 2.1186 (2.4132) Prec@1 49.609 (46.066) Prec@5 75.391 (71.164)
Epoch: [13][2920/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4239 (2.4134) Prec@1 44.922 (46.062) Prec@5 73.828 (71.162)
Epoch: [13][2930/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.2740 (2.4135) Prec@1 48.828 (46.062) Prec@5 76.172 (71.158)
Epoch: [13][2940/5005] Time 0.466 (0.461) Data 0.000 (0.002) Loss 2.5663 (2.4134) Prec@1 41.016 (46.059) Prec@5 69.141 (71.157)
Epoch: [13][2950/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.5138 (2.4135) Prec@1 41.797 (46.055) Prec@5 69.922 (71.155)
Epoch: [13][2960/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.3548 (2.4134) Prec@1 46.094 (46.056) Prec@5 71.875 (71.155)
Epoch: [13][2970/5005] Time 0.468 (0.461) Data 0.000 (0.002) Loss 2.2959 (2.4133) Prec@1 50.000 (46.057) Prec@5 75.000 (71.157)
Epoch: [13][2980/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.2657 (2.4134) Prec@1 48.438 (46.055) Prec@5 72.656 (71.154)
Epoch: [13][2990/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.4392 (2.4132) Prec@1 45.312 (46.061) Prec@5 69.922 (71.158)
Epoch: [13][3000/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.3219 (2.4132) Prec@1 46.484 (46.058) Prec@5 72.656 (71.163)
Epoch: [13][3010/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.4097 (2.4133) Prec@1 45.312 (46.059) Prec@5 69.922 (71.159)
Epoch: [13][3020/5005] Time 0.467 (0.461) Data 0.000 (0.002) Loss 2.4445 (2.4131) Prec@1 44.922 (46.063) Prec@5 69.531 (71.164)
Epoch: [13][3030/5005] Time 0.459 (0.461) Data 0.001 (0.002) Loss 2.4660 (2.4132) Prec@1 46.094 (46.059) Prec@5 69.531 (71.163)
Epoch: [13][3040/5005] Time 0.457 (0.461) Data 0.001 (0.002) Loss 2.5278 (2.4134) Prec@1 44.141 (46.055) Prec@5 71.094 (71.162)
Epoch: [13][3050/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.5726 (2.4134) Prec@1 42.188 (46.056) Prec@5 67.969 (71.161)
Epoch: [13][3060/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.4647 (2.4133) Prec@1 46.094 (46.054) Prec@5 67.188 (71.161)
Epoch: [13][3070/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.7234 (2.4135) Prec@1 42.969 (46.050) Prec@5 66.016 (71.158)
Epoch: [13][3080/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.6485 (2.4135) Prec@1 43.750 (46.049) Prec@5 66.016 (71.156)
Epoch: [13][3090/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.3965 (2.4135) Prec@1 44.531 (46.049) Prec@5 74.219 (71.156)
Epoch: [13][3100/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.4084 (2.4137) Prec@1 50.781 (46.050) Prec@5 69.922 (71.154)
Epoch: [13][3110/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.2763 (2.4137) Prec@1 46.875 (46.053) Prec@5 73.438 (71.156)
Epoch: [13][3120/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.3078 (2.4137) Prec@1 44.141 (46.050) Prec@5 71.875 (71.152)
Epoch: [13][3130/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.3765 (2.4138) Prec@1 47.656 (46.050) Prec@5 73.047 (71.153)
Epoch: [13][3140/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.3987 (2.4135) Prec@1 48.828 (46.058) Prec@5 74.609 (71.156)
Epoch: [13][3150/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4265 (2.4134) Prec@1 46.094 (46.057) Prec@5 71.484 (71.155)
Epoch: [13][3160/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.3332 (2.4132) Prec@1 42.578 (46.057) Prec@5 72.266 (71.161)
Epoch: [13][3170/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.7953 (2.4133) Prec@1 42.969 (46.057) Prec@5 64.844 (71.161)
Epoch: [13][3180/5005] Time 0.453 (0.461) Data 0.000 (0.002) Loss 2.3837 (2.4133) Prec@1 42.578 (46.056) Prec@5 73.438 (71.161)
Epoch: [13][3190/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.4921 (2.4135) Prec@1 41.016 (46.051) Prec@5 69.922 (71.159)
Epoch: [13][3200/5005] Time 0.452 (0.461) Data 0.000 (0.002) Loss 2.4743 (2.4136) Prec@1 50.000 (46.050) Prec@5 69.922 (71.156)
Epoch: [13][3210/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.4242 (2.4136) Prec@1 47.266 (46.055) Prec@5 70.312 (71.157)
Epoch: [13][3220/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.2790 (2.4134) Prec@1 48.438 (46.058) Prec@5 71.875 (71.160)
Epoch: [13][3230/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.4121 (2.4132) Prec@1 43.359 (46.060) Prec@5 69.531 (71.160)
Epoch: [13][3240/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.6266 (2.4134) Prec@1 40.625 (46.058) Prec@5 69.922 (71.158)
Epoch: [13][3250/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.5082 (2.4134) Prec@1 47.656 (46.057) Prec@5 67.578 (71.154)
Epoch: [13][3260/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.5415 (2.4138) Prec@1 43.359 (46.050) Prec@5 69.141 (71.148)
Epoch: [13][3270/5005] Time 0.465 (0.461) Data 0.000 (0.002) Loss 2.3391 (2.4137) Prec@1 43.359 (46.054) Prec@5 74.219 (71.148)
Epoch: [13][3280/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.2868 (2.4135) Prec@1 48.047 (46.055) Prec@5 75.000 (71.150)
Epoch: [13][3290/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.5133 (2.4137) Prec@1 44.531 (46.056) Prec@5 68.750 (71.146)
Epoch: [13][3300/5005] Time 0.459 (0.461) Data 0.001 (0.002) Loss 2.3895 (2.4134) Prec@1 44.922 (46.058) Prec@5 69.922 (71.151)
Epoch: [13][3310/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.3604 (2.4134) Prec@1 46.875 (46.056) Prec@5 73.438 (71.150)
Epoch: [13][3320/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.6025 (2.4137) Prec@1 44.922 (46.055) Prec@5 68.359 (71.146)
Epoch: [13][3330/5005] Time 0.462 (0.461) Data 0.000 (0.002) Loss 2.4206 (2.4138) Prec@1 46.484 (46.054) Prec@5 69.922 (71.144)
Epoch: [13][3340/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.4350 (2.4137) Prec@1 48.047 (46.060) Prec@5 69.922 (71.147)
Epoch: [13][3350/5005] Time 0.463 (0.461) Data 0.000 (0.002) Loss 2.3560 (2.4137) Prec@1 47.656 (46.060) Prec@5 72.656 (71.149)
Epoch: [13][3360/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.1786 (2.4134) Prec@1 49.219 (46.063) Prec@5 75.000 (71.151)
Epoch: [13][3370/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.5445 (2.4136) Prec@1 43.359 (46.059) Prec@5 68.359 (71.147)
Epoch: [13][3380/5005] Time 0.460 (0.461) Data 0.000 (0.002) Loss 2.5509 (2.4136) Prec@1 42.969 (46.054) Prec@5 69.531 (71.148)
Epoch: [13][3390/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.4701 (2.4137) Prec@1 47.266 (46.056) Prec@5 70.703 (71.144)
Epoch: [13][3400/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.3932 (2.4139) Prec@1 43.359 (46.052) Prec@5 72.266 (71.144)
Epoch: [13][3410/5005] Time 0.464 (0.461) Data 0.000 (0.002) Loss 2.5103 (2.4139) Prec@1 46.484 (46.053) Prec@5 67.969 (71.145)
Epoch: [13][3420/5005] Time 0.461 (0.461) Data 0.000 (0.002) Loss 2.3574 (2.4139) Prec@1 46.484 (46.049) Prec@5 71.094 (71.144)
Epoch: [13][3430/5005] Time 0.457 (0.461) Data 0.000 (0.002) Loss 2.3370 (2.4138) Prec@1 44.531 (46.053) Prec@5 73.438 (71.146)
Epoch: [13][3440/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.4784 (2.4141) Prec@1 48.828 (46.050) Prec@5 68.359 (71.141)
Epoch: [13][3450/5005] Time 0.459 (0.461) Data 0.000 (0.002) Loss 2.2865 (2.4139) Prec@1 48.438 (46.050) Prec@5 74.219 (71.141)
Epoch: [13][3460/5005] Time 0.454 (0.461) Data 0.000 (0.002) Loss 2.5037 (2.4139) Prec@1 39.453 (46.051) Prec@5 69.531 (71.144)
Epoch: [13][3470/5005] Time 0.458 (0.461) Data 0.000 (0.002) Loss 2.5044 (2.4140) Prec@1 42.578 (46.049) Prec@5 70.312 (71.140)
Epoch: [13][3480/5005] Time 0.456 (0.461) Data 0.000 (0.002) Loss 2.1381 (2.4140) Prec@1 50.000 (46.050) Prec@5 75.000 (71.140)
Epoch: [13][3490/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.4401 (2.4141) Prec@1 47.266 (46.050) Prec@5 72.266 (71.141)
Epoch: [13][3500/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.2683 (2.4140) Prec@1 46.484 (46.051) Prec@5 74.609 (71.144)
Epoch: [13][3510/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.5587 (2.4141) Prec@1 39.844 (46.047) Prec@5 69.531 (71.144)
Epoch: [13][3520/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.1742 (2.4140) Prec@1 51.172 (46.051) Prec@5 73.438 (71.147)
Epoch: [13][3530/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.2809 (2.4141) Prec@1 49.219 (46.051) Prec@5 70.312 (71.143)
Epoch: [13][3540/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.2288 (2.4141) Prec@1 45.312 (46.053) Prec@5 74.609 (71.144)
Epoch: [13][3550/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.3154 (2.4141) Prec@1 46.484 (46.053) Prec@5 72.266 (71.146)
Epoch: [13][3560/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.4170 (2.4141) Prec@1 46.484 (46.051) Prec@5 69.531 (71.147)
Epoch: [13][3570/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.2646 (2.4141) Prec@1 48.828 (46.052) Prec@5 71.875 (71.148)
Epoch: [13][3580/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4763 (2.4142) Prec@1 43.359 (46.049) Prec@5 72.266 (71.150)
Epoch: [13][3590/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.2933 (2.4139) Prec@1 48.047 (46.054) Prec@5 70.312 (71.151)
Epoch: [13][3600/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.2832 (2.4139) Prec@1 46.484 (46.055) Prec@5 75.391 (71.154)
Epoch: [13][3610/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.3982 (2.4139) Prec@1 49.609 (46.053) Prec@5 71.875 (71.154)
Epoch: [13][3620/5005] Time 0.452 (0.460) Data 0.000 (0.002) Loss 2.2369 (2.4139) Prec@1 46.875 (46.054) Prec@5 75.781 (71.158)
Epoch: [13][3630/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 3.0246 (2.4138) Prec@1 39.844 (46.055) Prec@5 64.062 (71.160)
Epoch: [13][3640/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.3980 (2.4137) Prec@1 48.438 (46.057) Prec@5 71.484 (71.164)
Epoch: [13][3650/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.2385 (2.4137) Prec@1 44.922 (46.056) Prec@5 76.562 (71.164)
Epoch: [13][3660/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.5039 (2.4139) Prec@1 45.703 (46.050) Prec@5 71.484 (71.161)
Epoch: [13][3670/5005] Time 0.452 (0.460) Data 0.000 (0.002) Loss 2.5286 (2.4138) Prec@1 43.750 (46.050) Prec@5 69.531 (71.164)
Epoch: [13][3680/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.5132 (2.4138) Prec@1 42.578 (46.052) Prec@5 67.578 (71.160)
Epoch: [13][3690/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.5275 (2.4138) Prec@1 47.266 (46.052) Prec@5 69.531 (71.160)
Epoch: [13][3700/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3631 (2.4137) Prec@1 47.656 (46.054) Prec@5 68.750 (71.161)
Epoch: [13][3710/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.6731 (2.4138) Prec@1 42.969 (46.051) Prec@5 67.188 (71.160)
Epoch: [13][3720/5005] Time 0.465 (0.460) Data 0.000 (0.002) Loss 2.4043 (2.4139) Prec@1 49.609 (46.051) Prec@5 71.094 (71.160)
Epoch: [13][3730/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.5906 (2.4138) Prec@1 43.359 (46.052) Prec@5 64.453 (71.160)
Epoch: [13][3740/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.4589 (2.4139) Prec@1 47.656 (46.050) Prec@5 70.312 (71.157)
Epoch: [13][3750/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.2037 (2.4138) Prec@1 48.047 (46.050) Prec@5 75.781 (71.158)
Epoch: [13][3760/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.5038 (2.4138) Prec@1 44.922 (46.048) Prec@5 69.141 (71.159)
Epoch: [13][3770/5005] Time 0.467 (0.460) Data 0.000 (0.002) Loss 2.2364 (2.4137) Prec@1 48.438 (46.048) Prec@5 76.172 (71.159)
Epoch: [13][3780/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.0789 (2.4136) Prec@1 51.953 (46.051) Prec@5 73.828 (71.159)
Epoch: [13][3790/5005] Time 0.466 (0.460) Data 0.000 (0.002) Loss 2.2588 (2.4136) Prec@1 47.266 (46.053) Prec@5 70.703 (71.159)
Epoch: [13][3800/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.2261 (2.4136) Prec@1 48.828 (46.053) Prec@5 72.266 (71.158)
Epoch: [13][3810/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.3450 (2.4136) Prec@1 47.266 (46.056) Prec@5 73.438 (71.160)
Epoch: [13][3820/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.3594 (2.4136) Prec@1 48.047 (46.057) Prec@5 71.484 (71.159)
Epoch: [13][3830/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.6037 (2.4136) Prec@1 42.578 (46.057) Prec@5 67.969 (71.159)
Epoch: [13][3840/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.4975 (2.4137) Prec@1 46.484 (46.060) Prec@5 67.578 (71.158)
Epoch: [13][3850/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.5333 (2.4136) Prec@1 41.797 (46.058) Prec@5 70.312 (71.159)
Epoch: [13][3860/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.5281 (2.4136) Prec@1 44.531 (46.059) Prec@5 69.141 (71.159)
Epoch: [13][3870/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.5350 (2.4138) Prec@1 44.531 (46.058) Prec@5 70.312 (71.155)
Epoch: [13][3880/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.5318 (2.4136) Prec@1 46.094 (46.060) Prec@5 67.188 (71.157)
Epoch: [13][3890/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.3632 (2.4135) Prec@1 50.000 (46.062) Prec@5 72.656 (71.159)
Epoch: [13][3900/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.4116 (2.4136) Prec@1 42.969 (46.061) Prec@5 72.266 (71.159)
Epoch: [13][3910/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.3738 (2.4135) Prec@1 47.266 (46.062) Prec@5 73.047 (71.161)
Epoch: [13][3920/5005] Time 0.452 (0.460) Data 0.000 (0.002) Loss 2.4571 (2.4135) Prec@1 45.312 (46.059) Prec@5 72.266 (71.161)
Epoch: [13][3930/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.5713 (2.4135) Prec@1 45.703 (46.061) Prec@5 69.141 (71.162)
Epoch: [13][3940/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.2582 (2.4135) Prec@1 49.219 (46.062) Prec@5 71.484 (71.162)
Epoch: [13][3950/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.6220 (2.4133) Prec@1 40.234 (46.067) Prec@5 68.359 (71.164)
Epoch: [13][3960/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.4792 (2.4133) Prec@1 45.312 (46.066) Prec@5 71.875 (71.163)
Epoch: [13][3970/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.5456 (2.4135) Prec@1 42.188 (46.066) Prec@5 68.750 (71.162)
Epoch: [13][3980/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.3213 (2.4135) Prec@1 47.656 (46.064) Prec@5 71.484 (71.161)
Epoch: [13][3990/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.2882 (2.4134) Prec@1 45.703 (46.066) Prec@5 74.219 (71.162)
Epoch: [13][4000/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3252 (2.4134) Prec@1 47.656 (46.065) Prec@5 73.047 (71.161)
Epoch: [13][4010/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.2868 (2.4132) Prec@1 51.172 (46.068) Prec@5 72.656 (71.168)
Epoch: [13][4020/5005] Time 0.467 (0.460) Data 0.000 (0.002) Loss 2.5475 (2.4131) Prec@1 43.750 (46.069) Prec@5 72.266 (71.168)
Epoch: [13][4030/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.1787 (2.4132) Prec@1 52.344 (46.071) Prec@5 73.047 (71.167)
Epoch: [13][4040/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.1898 (2.4133) Prec@1 48.828 (46.068) Prec@5 75.391 (71.164)
Epoch: [13][4050/5005] Time 0.467 (0.460) Data 0.000 (0.002) Loss 2.6264 (2.4133) Prec@1 42.969 (46.069) Prec@5 69.922 (71.164)
Epoch: [13][4060/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.7829 (2.4134) Prec@1 44.922 (46.066) Prec@5 66.016 (71.163)
Epoch: [13][4070/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3404 (2.4135) Prec@1 47.266 (46.063) Prec@5 73.047 (71.161)
Epoch: [13][4080/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.6999 (2.4136) Prec@1 41.406 (46.060) Prec@5 67.188 (71.161)
Epoch: [13][4090/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.4046 (2.4137) Prec@1 50.391 (46.059) Prec@5 69.531 (71.158)
Epoch: [13][4100/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.4380 (2.4136) Prec@1 46.094 (46.064) Prec@5 70.703 (71.158)
Epoch: [13][4110/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.3592 (2.4136) Prec@1 45.312 (46.062) Prec@5 72.656 (71.160)
Epoch: [13][4120/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.3838 (2.4138) Prec@1 43.359 (46.057) Prec@5 73.438 (71.155)
Epoch: [13][4130/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.4197 (2.4137) Prec@1 47.656 (46.058) Prec@5 71.094 (71.155)
Epoch: [13][4140/5005] Time 0.465 (0.460) Data 0.001 (0.002) Loss 2.3733 (2.4139) Prec@1 44.531 (46.057) Prec@5 72.266 (71.154)
Epoch: [13][4150/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.1557 (2.4138) Prec@1 48.438 (46.060) Prec@5 74.219 (71.154)
Epoch: [13][4160/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.5651 (2.4139) Prec@1 42.188 (46.059) Prec@5 66.406 (71.154)
Epoch: [13][4170/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.0347 (2.4137) Prec@1 57.422 (46.062) Prec@5 76.172 (71.157)
Epoch: [13][4180/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.4071 (2.4138) Prec@1 49.219 (46.060) Prec@5 71.484 (71.157)
Epoch: [13][4190/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.5493 (2.4137) Prec@1 43.750 (46.063) Prec@5 66.016 (71.156)
Epoch: [13][4200/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.2716 (2.4135) Prec@1 50.000 (46.069) Prec@5 74.219 (71.161)
Epoch: [13][4210/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.4015 (2.4135) Prec@1 47.266 (46.069) Prec@5 72.266 (71.162)
Epoch: [13][4220/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.5407 (2.4137) Prec@1 44.141 (46.068) Prec@5 71.484 (71.160)
Epoch: [13][4230/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.2965 (2.4135) Prec@1 46.875 (46.071) Prec@5 73.438 (71.159)
Epoch: [13][4240/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.4551 (2.4136) Prec@1 46.094 (46.070) Prec@5 71.875 (71.158)
Epoch: [13][4250/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.4500 (2.4135) Prec@1 45.703 (46.074) Prec@5 68.359 (71.159)
Epoch: [13][4260/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.3852 (2.4135) Prec@1 41.797 (46.074) Prec@5 71.094 (71.158)
Epoch: [13][4270/5005] Time 0.458 (0.460) Data 0.000 (0.002) Loss 2.4547 (2.4136) Prec@1 45.703 (46.074) Prec@5 69.922 (71.156)
Epoch: [13][4280/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.2881 (2.4134) Prec@1 46.094 (46.077) Prec@5 72.656 (71.159)
Epoch: [13][4290/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 2.3079 (2.4134) Prec@1 44.141 (46.079) Prec@5 76.172 (71.159)
Epoch: [13][4300/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.6751 (2.4134) Prec@1 43.750 (46.077) Prec@5 68.750 (71.160)
Epoch: [13][4310/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.4768 (2.4133) Prec@1 46.875 (46.077) Prec@5 69.922 (71.160)
Epoch: [13][4320/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.6592 (2.4134) Prec@1 44.141 (46.077) Prec@5 66.016 (71.160)
Epoch: [13][4330/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.6360 (2.4134) Prec@1 45.703 (46.075) Prec@5 67.188 (71.159)
Epoch: [13][4340/5005] Time 0.453 (0.460) Data 0.000 (0.002) Loss 2.3460 (2.4135) Prec@1 49.609 (46.071) Prec@5 69.922 (71.158)
Epoch: [13][4350/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.1156 (2.4134) Prec@1 50.391 (46.072) Prec@5 76.562 (71.161)
Epoch: [13][4360/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.5357 (2.4135) Prec@1 42.188 (46.070) Prec@5 66.797 (71.159)
Epoch: [13][4370/5005] Time 0.456 (0.460) Data 0.000 (0.002) Loss 2.5123 (2.4136) Prec@1 45.312 (46.071) Prec@5 67.578 (71.156)
Epoch: [13][4380/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.3958 (2.4135) Prec@1 45.312 (46.073) Prec@5 73.438 (71.157)
Epoch: [13][4390/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.2355 (2.4135) Prec@1 50.781 (46.072) Prec@5 72.656 (71.157)
Epoch: [13][4400/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.3924 (2.4137) Prec@1 46.875 (46.072) Prec@5 70.312 (71.153)
Epoch: [13][4410/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.2204 (2.4137) Prec@1 44.922 (46.075) Prec@5 78.125 (71.155)
Epoch: [13][4420/5005] Time 0.461 (0.460) Data 0.000 (0.002) Loss 2.5794 (2.4137) Prec@1 39.062 (46.072) Prec@5 70.703 (71.157)
Epoch: [13][4430/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.3232 (2.4138) Prec@1 49.219 (46.068) Prec@5 71.094 (71.155)
Epoch: [13][4440/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.6105 (2.4138) Prec@1 46.875 (46.070) Prec@5 68.359 (71.158)
Epoch: [13][4450/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.3853 (2.4137) Prec@1 47.656 (46.070) Prec@5 73.047 (71.160)
Epoch: [13][4460/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.3415 (2.4138) Prec@1 42.188 (46.067) Prec@5 72.656 (71.159)
Epoch: [13][4470/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.5113 (2.4138) Prec@1 44.531 (46.066) Prec@5 70.312 (71.160)
Epoch: [13][4480/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.2341 (2.4138) Prec@1 51.172 (46.069) Prec@5 77.344 (71.162)
Epoch: [13][4490/5005] Time 0.462 (0.460) Data 0.000 (0.002) Loss 2.5310 (2.4137) Prec@1 42.578 (46.069) Prec@5 69.141 (71.162)
Epoch: [13][4500/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.1331 (2.4136) Prec@1 51.953 (46.070) Prec@5 76.562 (71.164)
Epoch: [13][4510/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4567 (2.4134) Prec@1 46.484 (46.076) Prec@5 72.266 (71.168)
Epoch: [13][4520/5005] Time 0.464 (0.460) Data 0.000 (0.002) Loss 2.5278 (2.4133) Prec@1 43.750 (46.078) Prec@5 69.922 (71.170)
Epoch: [13][4530/5005] Time 0.466 (0.460) Data 0.000 (0.002) Loss 2.4145 (2.4131) Prec@1 49.609 (46.080) Prec@5 70.703 (71.173)
Epoch: [13][4540/5005] Time 0.466 (0.460) Data 0.000 (0.002) Loss 2.0701 (2.4130) Prec@1 46.484 (46.082) Prec@5 77.344 (71.175)
Epoch: [13][4550/5005] Time 0.463 (0.460) Data 0.000 (0.002) Loss 2.2914 (2.4129) Prec@1 49.219 (46.081) Prec@5 72.656 (71.177)
Epoch: [13][4560/5005] Time 0.455 (0.460) Data 0.000 (0.002) Loss 2.3642 (2.4129) Prec@1 46.094 (46.078) Prec@5 71.875 (71.178)
Epoch: [13][4570/5005] Time 0.459 (0.460) Data 0.000 (0.002) Loss 2.4103 (2.4129) Prec@1 40.234 (46.075) Prec@5 73.047 (71.178)
Epoch: [13][4580/5005] Time 0.460 (0.460) Data 0.000 (0.002) Loss 2.2463 (2.4127) Prec@1 44.922 (46.076) Prec@5 74.219 (71.181)
Epoch: [13][4590/5005] Time 0.454 (0.460) Data 0.000 (0.002) Loss 2.1702 (2.4128) Prec@1 51.172 (46.077) Prec@5 74.219 (71.181)
Epoch: [13][4600/5005] Time 0.460 (0.460) Data 0.001 (0.002) Loss 2.4135 (2.4128) Prec@1 47.266 (46.078) Prec@5 70.312 (71.180)
Epoch: [13][4610/5005] Time 0.457 (0.460) Data 0.000 (0.002) Loss 2.2487 (2.4128) Prec@1 48.047 (46.080) Prec@5 71.094 (71.181)
Epoch: [13][4620/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 2.1803 (2.4126) Prec@1 47.656 (46.082) Prec@5 74.219 (71.184)
Epoch: [13][4630/5005] Time 0.458 (0.460) Data 0.000 (0.001) Loss 2.2256 (2.4126) Prec@1 50.781 (46.085) Prec@5 73.438 (71.184)
Epoch: [13][4640/5005] Time 0.453 (0.460) Data 0.000 (0.001) Loss 2.3787 (2.4126) Prec@1 46.484 (46.086) Prec@5 70.312 (71.184)
Epoch: [13][4650/5005] Time 0.467 (0.460) Data 0.000 (0.001) Loss 2.4781 (2.4126) Prec@1 43.750 (46.085) Prec@5 71.875 (71.184)
Epoch: [13][4660/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 2.3640 (2.4124) Prec@1 46.094 (46.087) Prec@5 72.266 (71.186)
Epoch: [13][4670/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.1272 (2.4122) Prec@1 50.781 (46.089) Prec@5 75.781 (71.192)
Epoch: [13][4680/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.4354 (2.4120) Prec@1 45.703 (46.091) Prec@5 69.141 (71.196)
Epoch: [13][4690/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 2.3410 (2.4121) Prec@1 46.094 (46.088) Prec@5 73.047 (71.192)
Epoch: [13][4700/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 2.5630 (2.4121) Prec@1 41.797 (46.089) Prec@5 67.578 (71.192)
Epoch: [13][4710/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 2.4916 (2.4123) Prec@1 40.625 (46.085) Prec@5 70.703 (71.189)
Epoch: [13][4720/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 2.4917 (2.4126) Prec@1 44.141 (46.079) Prec@5 68.750 (71.185)
Epoch: [13][4730/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 2.5631 (2.4127) Prec@1 45.703 (46.079) Prec@5 69.531 (71.183)
Epoch: [13][4740/5005] Time 0.458 (0.460) Data 0.000 (0.001) Loss 2.5421 (2.4129) Prec@1 44.141 (46.074) Prec@5 71.484 (71.181)
Epoch: [13][4750/5005] Time 0.464 (0.460) Data 0.000 (0.001) Loss 2.1983 (2.4128) Prec@1 51.172 (46.075) Prec@5 75.000 (71.182)
Epoch: [13][4760/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 2.5110 (2.4130) Prec@1 46.484 (46.075) Prec@5 70.703 (71.181)
Epoch: [13][4770/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 2.3482 (2.4129) Prec@1 44.922 (46.076) Prec@5 73.438 (71.182)
Epoch: [13][4780/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.3871 (2.4129) Prec@1 49.609 (46.078) Prec@5 71.875 (71.182)
Epoch: [13][4790/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 2.6367 (2.4129) Prec@1 43.750 (46.077) Prec@5 68.750 (71.182)
Epoch: [13][4800/5005] Time 0.460 (0.460) Data 0.001 (0.001) Loss 2.2878 (2.4129) Prec@1 45.703 (46.078) Prec@5 73.828 (71.183)
Epoch: [13][4810/5005] Time 0.462 (0.460) Data 0.000 (0.001) Loss 2.4321 (2.4129) Prec@1 45.312 (46.080) Prec@5 70.312 (71.183)
Epoch: [13][4820/5005] Time 0.454 (0.460) Data 0.000 (0.001) Loss 2.5139 (2.4129) Prec@1 46.094 (46.081) Prec@5 69.531 (71.183)
Epoch: [13][4830/5005] Time 0.459 (0.460) Data 0.000 (0.001) Loss 2.6412 (2.4128) Prec@1 41.797 (46.082) Prec@5 67.578 (71.182)
Epoch: [13][4840/5005] Time 0.455 (0.460) Data 0.000 (0.001) Loss 2.3089 (2.4127) Prec@1 47.266 (46.085) Prec@5 73.047 (71.184)
Epoch: [13][4850/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 2.3414 (2.4129) Prec@1 48.047 (46.084) Prec@5 70.312 (71.181)
Epoch: [13][4860/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 2.3681 (2.4130) Prec@1 48.047 (46.082) Prec@5 70.312 (71.179)
Epoch: [13][4870/5005] Time 0.463 (0.460) Data 0.000 (0.001) Loss 2.4995 (2.4129) Prec@1 44.141 (46.083) Prec@5 68.750 (71.181)
Epoch: [13][4880/5005] Time 0.459 (0.460) Data 0.001 (0.001) Loss 2.7573 (2.4129) Prec@1 42.969 (46.081) Prec@5 66.797 (71.183)
Epoch: [13][4890/5005] Time 0.460 (0.460) Data 0.000 (0.001) Loss 2.4166 (2.4128) Prec@1 46.484 (46.082) Prec@5 71.094 (71.185)
Epoch: [13][4900/5005] Time 0.453 (0.460) Data 0.000 (0.001) Loss 2.5827 (2.4128) Prec@1 40.625 (46.082) Prec@5 67.969 (71.186)
Epoch: [13][4910/5005] Time 0.451 (0.460) Data 0.000 (0.001) Loss 2.1831 (2.4127) Prec@1 48.438 (46.085) Prec@5 73.438 (71.187)
Epoch: [13][4920/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 2.2892 (2.4126) Prec@1 49.609 (46.089) Prec@5 75.391 (71.189)
Epoch: [13][4930/5005] Time 0.457 (0.460) Data 0.000 (0.001) Loss 2.7967 (2.4127) Prec@1 37.109 (46.085) Prec@5 68.359 (71.187)
Epoch: [13][4940/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 2.5945 (2.4127) Prec@1 41.406 (46.084) Prec@5 66.016 (71.189)
Epoch: [13][4950/5005] Time 0.458 (0.460) Data 0.000 (0.001) Loss 2.5573 (2.4127) Prec@1 40.625 (46.084) Prec@5 67.188 (71.187)
Epoch: [13][4960/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 2.5291 (2.4127) Prec@1 44.922 (46.085) Prec@5 68.750 (71.189)
Epoch: [13][4970/5005] Time 0.461 (0.460) Data 0.000 (0.001) Loss 2.2992 (2.4126) Prec@1 50.000 (46.087) Prec@5 75.000 (71.191)
Epoch: [13][4980/5005] Time 0.453 (0.460) Data 0.000 (0.001) Loss 2.3312 (2.4127) Prec@1 44.531 (46.084) Prec@5 71.094 (71.191)
Epoch: [13][4990/5005] Time 0.456 (0.460) Data 0.000 (0.001) Loss 2.4431 (2.4127) Prec@1 45.312 (46.082) Prec@5 71.094 (71.190)
Epoch: [13][5000/5005] Time 0.455 (0.460) Data 0.000 (0.001) Loss 2.1736 (2.4126) Prec@1 49.219 (46.083) Prec@5 77.734 (71.191)
Test: [0/196] Time 5.301 (5.301) Loss 1.2150 (1.2150) Prec@1 67.188 (67.188) Prec@5 91.016 (91.016)
Test: [10/196] Time 0.151 (0.619) Loss 1.8736 (1.4619) Prec@1 53.906 (64.169) Prec@5 83.984 (85.618)
Test: [20/196] Time 0.150 (0.396) Loss 1.5805 (1.4387) Prec@1 66.016 (64.769) Prec@5 82.031 (85.789)
Test: [30/196] Time 0.150 (0.319) Loss 1.5001 (1.4084) Prec@1 58.203 (65.524) Prec@5 87.500 (86.253)
Test: [40/196] Time 0.149 (0.278) Loss 1.4887 (1.4609) Prec@1 60.938 (62.910) Prec@5 88.672 (86.414)
Test: [50/196] Time 0.151 (0.253) Loss 0.9183 (1.4288) Prec@1 75.391 (63.174) Prec@5 95.312 (87.194)
Test: [60/196] Time 0.148 (0.238) Loss 1.7782 (1.4224) Prec@1 50.781 (63.089) Prec@5 83.984 (87.500)
Test: [70/196] Time 0.149 (0.225) Loss 1.4371 (1.4069) Prec@1 64.062 (63.496) Prec@5 86.328 (87.643)
Test: [80/196] Time 0.148 (0.216) Loss 2.3294 (1.4344) Prec@1 48.828 (63.204) Prec@5 76.953 (87.249)
Test: [90/196] Time 0.148 (0.209) Loss 2.9351 (1.5276) Prec@1 36.328 (61.414) Prec@5 64.062 (85.916)
Test: [100/196] Time 0.148 (0.203) Loss 2.6785 (1.6059) Prec@1 36.719 (59.974) Prec@5 69.531 (84.650)
Test: [110/196] Time 0.150 (0.199) Loss 1.6756 (1.6369) Prec@1 62.109 (59.583) Prec@5 80.469 (84.044)
Test: [120/196] Time 0.148 (0.195) Loss 2.5496 (1.6746) Prec@1 47.266 (59.072) Prec@5 68.359 (83.355)
Test: [130/196] Time 0.149 (0.192) Loss 1.7065 (1.7158) Prec@1 57.031 (58.173) Prec@5 80.859 (82.789)
Test: [140/196] Time 0.149 (0.189) Loss 2.0988 (1.7469) Prec@1 53.125 (57.624) Prec@5 80.078 (82.303)
Test: [150/196] Time 0.149 (0.187) Loss 2.1160 (1.7774) Prec@1 58.594 (57.212) Prec@5 74.219 (81.809)
Test: [160/196] Time 0.150 (0.184) Loss 1.7132 (1.8052) Prec@1 64.062 (56.726) Prec@5 79.688 (81.347)
Test: [170/196] Time 0.150 (0.182) Loss 1.3932 (1.8301) Prec@1 59.766 (56.216) Prec@5 87.891 (80.926)
Test: [180/196] Time 0.149 (0.181) Loss 1.7631 (1.8512) Prec@1 53.125 (55.874) Prec@5 83.203 (80.587)
Test: [190/196] Time 0.148 (0.179) Loss 1.6448 (1.8439) Prec@1 58.594 (56.037) Prec@5 84.766 (80.708)
* Prec@1 56.358 Prec@5 80.872
Epoch: [14][0/5005] Time 4.543 (4.543) Data 4.364 (4.364) Loss 2.1599 (2.1599) Prec@1 49.609 (49.609) Prec@5 74.219 (74.219)
Epoch: [14][10/5005] Time 0.458 (0.865) Data 0.000 (0.455) Loss 2.5378 (2.3978) Prec@1 43.359 (44.886) Prec@5 68.359 (71.129)
Epoch: [14][20/5005] Time 0.469 (0.674) Data 0.000 (0.239) Loss 2.1707 (2.4072) Prec@1 46.484 (45.089) Prec@5 73.828 (71.112)
Epoch: [14][30/5005] Time 0.471 (0.607) Data 0.000 (0.162) Loss 2.3054 (2.3610) Prec@1 44.141 (46.069) Prec@5 74.609 (71.862)
Epoch: [14][40/5005] Time 0.474 (0.573) Data 0.000 (0.122) Loss 2.3321 (2.3458) Prec@1 48.438 (46.522) Prec@5 72.656 (72.027)
Epoch: [14][50/5005] Time 0.470 (0.551) Data 0.000 (0.098) Loss 2.2080 (2.3359) Prec@1 48.047 (46.760) Prec@5 75.000 (72.189)
Epoch: [14][60/5005] Time 0.468 (0.538) Data 0.000 (0.082) Loss 2.1540 (2.3436) Prec@1 53.516 (46.907) Prec@5 74.609 (72.041)
Epoch: [14][70/5005] Time 0.460 (0.527) Data 0.000 (0.071) Loss 2.5134 (2.3481) Prec@1 45.312 (47.013) Prec@5 70.312 (72.134)
Epoch: [14][80/5005] Time 0.470 (0.519) Data 0.000 (0.062) Loss 2.3973 (2.3616) Prec@1 40.234 (46.783) Prec@5 73.438 (71.933)
Epoch: [14][90/5005] Time 0.472 (0.513) Data 0.000 (0.055) Loss 2.4766 (2.3623) Prec@1 42.188 (46.785) Prec@5 68.750 (71.875)
Epoch: [14][100/5005] Time 0.459 (0.509) Data 0.001 (0.050) Loss 2.3245 (2.3620) Prec@1 43.359 (46.697) Prec@5 74.609 (72.041)
Epoch: [14][110/5005] Time 0.475 (0.505) Data 0.000 (0.045) Loss 2.2704 (2.3644) Prec@1 50.781 (46.653) Prec@5 74.219 (71.963)
Epoch: [14][120/5005] Time 0.453 (0.501) Data 0.000 (0.042) Loss 2.3547 (2.3597) Prec@1 46.484 (46.820) Prec@5 71.875 (72.030)
Epoch: [14][130/5005] Time 0.454 (0.498) Data 0.000 (0.039) Loss 2.4768 (2.3538) Prec@1 46.094 (46.899) Prec@5 66.797 (72.093)
Epoch: [14][140/5005] Time 0.450 (0.496) Data 0.000 (0.036) Loss 2.4556 (2.3536) Prec@1 45.312 (46.936) Prec@5 70.703 (72.127)
Epoch: [14][150/5005] Time 0.453 (0.493) Data 0.000 (0.034) Loss 2.1741 (2.3553) Prec@1 52.344 (46.901) Prec@5 76.953 (72.188)
Epoch: [14][160/5005] Time 0.452 (0.491) Data 0.000 (0.032) Loss 2.2600 (2.3600) Prec@1 47.656 (46.841) Prec@5 74.219 (72.118)
Epoch: [14][170/5005] Time 0.478 (0.490) Data 0.000 (0.030) Loss 2.4093 (2.3612) Prec@1 44.922 (46.809) Prec@5 72.656 (72.099)
Epoch: [14][180/5005] Time 0.450 (0.488) Data 0.000 (0.028) Loss 2.4093 (2.3617) Prec@1 46.875 (46.769) Prec@5 69.922 (72.078)
Epoch: [14][190/5005] Time 0.447 (0.487) Data 0.000 (0.027) Loss 2.1471 (2.3597) Prec@1 52.344 (46.838) Prec@5 76.562 (72.106)
Epoch: [14][200/5005] Time 0.470 (0.486) Data 0.000 (0.025) Loss 2.4456 (2.3599) Prec@1 46.484 (46.834) Prec@5 71.094 (72.132)
Epoch: [14][210/5005] Time 0.467 (0.485) Data 0.000 (0.024) Loss 2.5445 (2.3586) Prec@1 41.797 (46.862) Prec@5 71.094 (72.197)
Epoch: [14][220/5005] Time 0.450 (0.484) Data 0.000 (0.023) Loss 2.3476 (2.3600) Prec@1 52.734 (46.857) Prec@5 74.609 (72.161)
Epoch: [14][230/5005] Time 0.461 (0.483) Data 0.000 (0.022) Loss 2.3339 (2.3570) Prec@1 44.141 (46.885) Prec@5 73.047 (72.198)
Epoch: [14][240/5005] Time 0.469 (0.482) Data 0.000 (0.021) Loss 2.1485 (2.3576) Prec@1 49.609 (46.914) Prec@5 76.562 (72.211)
Epoch: [14][250/5005] Time 0.479 (0.481) Data 0.000 (0.020) Loss 2.5450 (2.3615) Prec@1 44.531 (46.870) Prec@5 70.312 (72.143)
Epoch: [14][260/5005] Time 0.454 (0.481) Data 0.000 (0.020) Loss 2.0929 (2.3618) Prec@1 50.391 (46.874) Prec@5 76.953 (72.158)
Epoch: [14][270/5005] Time 0.457 (0.480) Data 0.000 (0.019) Loss 2.2525 (2.3583) Prec@1 50.391 (46.966) Prec@5 73.047 (72.221)
Epoch: [14][280/5005] Time 0.452 (0.479) Data 0.000 (0.018) Loss 2.5607 (2.3576) Prec@1 46.094 (46.993) Prec@5 69.531 (72.238)
Epoch: [14][290/5005] Time 0.456 (0.479) Data 0.000 (0.018) Loss 2.2135 (2.3588) Prec@1 49.219 (46.997) Prec@5 77.344 (72.235)
Epoch: [14][300/5005] Time 0.472 (0.478) Data 0.000 (0.017) Loss 2.4085 (2.3600) Prec@1 48.438 (46.976) Prec@5 69.531 (72.240)
Epoch: [14][310/5005] Time 0.474 (0.478) Data 0.000 (0.017) Loss 2.5902 (2.3650) Prec@1 42.188 (46.857) Prec@5 65.625 (72.185)
Epoch: [14][320/5005] Time 0.472 (0.478) Data 0.000 (0.016) Loss 2.1778 (2.3658) Prec@1 55.078 (46.897) Prec@5 76.562 (72.188)
Epoch: [14][330/5005] Time 0.453 (0.477) Data 0.000 (0.016) Loss 2.4290 (2.3661) Prec@1 46.875 (46.941) Prec@5 70.312
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